Ecological overshoot reads as a morality tale. It needs a guilty corporation, a government, a consumer before anyone will act. Overshoot is instead a fossil fuel pulse hitting a brain built to find a face for every harm, inside a system that answers to thermodynamics, not ethics. The instinct that once policed a small tribal band now hunts for villains when the cause is diffuse, delayed and collective. But because blame feels like justice, it works like a sedative, discharging shame while blocking the systems thinking that shifts outcomes. The failure is one of scale, not virtue. Nobody’s fault doesn’t mean overshoot is nobody’s problem.

My mate Joe came into the bar at the country club, sweat pouring from his brow and tidemarks on his golf shirt that was supposed to have quick wick technology. He waved across at us and got the standard nod from the assembled to order a round.

“How’d you go?” I ask as the drinks arrive.

“Those fat grips. Bloody terrible things, every shot went left. Baz will have to take them off. He should never have told me to change them. Last lesson he’ll ever get from me.”

Blame. You can’t escape it. It’s in every feed, every media outlet, and every conversation that has ever happened in a bar after a round of golf.

It begins as a moral judgement. Something goes wrong, and we instantly attach fault to a person, an institution, or to a thing and on bewilderingly rare occasions, to ourselves. And it is not a calm, neutral diagnosis because we really get into it, and blame hard so that it’s believable to everyone.

It’s psychology 101 really. When things go wrong we feel the heavy emotions of hurt, fear, shame, and powerlessness. Blame performs the handy function of turning those vulnerable states into anger, and anger feels so much stronger. It has agency and we latch onto it.

We feel even better if we over-attribute other people’s failures to their character and not the situation; a neat cognitive shortcut. If I am late, the traffic was dreadful. If you are late, you are careless and should have left home earlier. Rather than go to the trouble of untangling context or, heaven forbid, taking responsibility, it is mentally cheaper to label someone as flawed. So we think fast and simplify, which easily hardens into judgement.

And there is another deeper comfort in blame, too. Many of us carry an unspoken belief that the world is fair, meaning that good outcomes track good behaviour. So when misfortune strikes, blaming the victim restores that illusion of order. If it was their mistake, then we are safe as long as we avoid the mistake they made. This story protects us from randomness and, again, reinforces feelings of control.

And then there is blame’s emotional sibling shame, the painful feeling that I am fundamentally flawed or somehow bad. For some, admitting a mistake does not register as I did something wrong, but as I am wrong. And to avoid that collapse of identity, the mind deflects. If it is your fault, it cannot be mine. Blame can be a sound shield against shame if I can make my mistake your fault, so I don’t have to feel the searing heat of shame that comes with believing it might be mine. Blaming becomes an exquisite act of self-preservation. My ego survives.

As Brené Brown puts it, blame is the discharge of discomfort, and it runs in the opposite direction to accountability. It looks backward and asks whom to punish, which makes it reactive, aggressive, and tends to corrode trust. Accountability, the logical counter that brings in responsibility, looks forward and asks what now. Unlike blame, it is measured and uncomfortable because it requires vulnerability. But it takes effort and courage.

If you have read any of the Mindful Sceptic essays, you will know where this is going. Blame is one of the biggest comforting myths there is, and it’s embedded in professional orthodoxies like concrete. And it has protected us from accountability for our individual and collective actions, we are going to need a jackhammer to dislodge its grip.

Let’s begin with the standard idea that environmental damage has nothing to do with me.

Mainstream environmental discourse assumes ecological degradation is primarily due to identifiable moral failings of corporations, governments, consumers, or economic systems, and that assigning blame is a prerequisite for meaningful action.

Environmental debate typically involves climate criminals, corporate greed, irresponsible consumers, government betrayal, and systemic injustice. Across the political spectrum, ecological harm is about bad actors making bad choices. The mining company really has to stop that leaky tailings dam from wrecking the wetland. Let’s ask them to clean it up and give them a hefty fine if they don’t. The assumption is that if we can identify the guilty party, pressure or punish them, the problem can be solved.

A challenge with this, even if there are bad actors, is that policy debates become more polarised when issues are cast in terms of blame and virtue rather than shared risk and trade-offs. Studies by Jonathan Haidt and colleagues on moral foundations’ theory suggest that individuals interpret complex policy problems through intuitive moral lenses of fairness, loyalty, authority, and harm before engaging in analytical reasoning. Climate change, biodiversity loss, and pollution become stories about villains and victims. Once it’s a moral problem it is easy to identify the villains, my tribe obviously has fewer emissions than yours.

Analyses of climate coverage in the United States and Europe show that reporting is usually about fossil fuel companies versus activists, governments versus citizens, developed versus developing nations. Attribution of responsibility dominates headlines, while structural drivers such as energy dependence, infrastructure lock-in, and thermodynamic constraints receive far less attention. Indeed, on mindful sceptics we have argued at length that blindness to the laws of nature and their consequences is an epidemic. But for the media outlets and their viewers it works perfectly because the effect is to specify onto a person, or some recognisable entity, distributed and systemic processes.

Surveys consistently show that people see corporate behaviour or government failure as primary causes of environmental decline, while far fewer identify energy density, population scale, or infrastructural design as core drivers. On the rare occasions systems thinking happens, the thoughts are often translated as someone should have stopped this. Someone failed.

There is a logic and ubiquity to this blame.

Many modern legal and ethical systems are predicated on identifying a responsible party. It is much easier and morally satisfying if someone is in the dock. But environmental degradation at planetary scale is not the product of a single decision-maker. It is the cumulative outcome of billions of ordinary actions embedded within energy-intensive systems developed over centuries. When discourse begins with blame as its organising principle, it lets me, with my ordinary and perfectly legal actions, off the hook.

But here we are with mainstream environmental discourse that treats ecological breakdown as moral failure, and assumes that finding and confronting the guilty party is a necessary first step toward action. And there are times when this works as it should. Maybe the mining company did skimp on the tailings dam construction that failed in the first flood event. It’s not that responsibility is irrelevant, but it can too easily substitute for the detailed analysis that would identify the actual causes.

George Marshall, founder of Climate Outreach and author of Don’t Even Think About It, argues that abstract systemic explanations fail to engage people emotionally, and that effective climate communication requires personal stories, identifiable messengers, and vivid emotional connection. Easily done with a bit of blame. Per Espen Stoknes, the psychologist and economist whose five-strategy framework is now taught in communication programs around the world, makes the same case in What We Think About When We Try Not to Think About Global Warming. Climate messaging must be social, story-based, and emotionally immediate to override the psychological barriers that drive disengagement. The emerging consensus, repeated in workshops, NGO strategy papers, and communications research, holds that abstract critical thinking about a global problem produces disengagement, while personalised moral narratives produce action.

Not all stories include blame, but personalised stories travel further than systemic analysis. However, what works to communicate a message and what works to solve the problem may not be the same thing. A Duke University study found that climate framing which personalises blame failed to persuade sceptics and triggered a significant backfire effect, polarising the audience further. The more a message names a moral villain, the more it triggers identity protection in anyone outside the messengers’ political tribe. A communication strategy designed to engage people ends up with the opposite.

The evidence from energy transitions, infrastructure redesign, and collective action governance suggests that tapping emotions is rarely enough. Systems move first, and then people, now embedded in changed systems, change too. The ozone layer did not recover because consumers were morally convicted of their CFC use. It recovered because international regulatory redesign removed the choice from the system entirely. Marshall and Stoknes are solving for engagement, which is fair enough, but overshoot requires redesign. These are different problems, and they need different diagnoses.

And yet, we know them, they are with us because of biology and physics.

The ecological overshoot of 8 billion people on a finite planet is not best explained as moral collapse but as an emergent outcome of evolutionary imperatives to expand and reproduce, thermodynamic constraints governing energy and entropy, and a one-time fossil fuel energy pulse that temporarily lifted natural limits on population and consumption.

Scientists calculate the collective human footprint on the planet by totalling the surface area of land and sea required to provide the food, timber, and fibre resources we consume and to sequester the CO₂ we emit. This is then weighed against the planet’s biocapacity, which is the Earth’s actual supply of productive ecosystems.

We are in overshoot. Human demand for biological services exceeds the environment’s ability to regenerate them within a year. Demand is met by depleting the natural capital.

Humanity currently uses resources at a rate equivalent to roughly 1.7 Earths, according to Global Footprint Network estimates that use these evidence techniques, and dumps the inevitable waste. Atmospheric CO₂ concentrations have risen from about 280 ppm in pre-industrial times to over 420 ppm in 2025. Vertebrate wildlife populations have declined by nearly 70% on average since 1970, according to WWF’s Living Planet Index. Wild mammals make up just 4% of the mammal biomass and half of that comes from the marine species. These are evidenced consequences of scale, energy throughput, and biological behaviour. Overshoot is a consequence of 8 billion people acting exactly as expected.

Across species, populations expand when energy and resources allow it. This is how ecology works for everything from bacteria in a nutrient-rich petri dish to deer introduced into predator-free environments. Numbers increase until constrained by resource limits or feedbacks. Humans are no exception. Over the past two centuries, global population rose from roughly 1 billion in 1800 to over 8 billion today thanks to rising per person energy use and agricultural productivity. This demographic surge was not triggered by a sudden decline in virtue worthy of blame, but by improved survival rates enabled by sanitation, medicine, and, critically, fossil-fuel-powered food systems.

We could blame some outgroup for this expansion and overshoot but, as Mr Spock would say, that would be illogical.

Population growth is a consequence of innate biology, where more making is the imperative. It also follows the laws of thermodynamics.

All complex systems require energy flows to maintain structure, otherwise entropy increases. And in a closed system, entropy (disorder) always increases. Industrial civilisation is a dissipative structure that follows this Second Law of Thermodynamics and can only be sustained by high-quality energy inputs. In 1800, global primary energy consumption was modest and largely biomass-based. Today it exceeds 600 exajoules per year, with fossil fuels still supplying around 80% of that total. This energy enables fertiliser production through the Haber–Bosch process, global transportation networks, mechanised agriculture, steel, cement, and digital infrastructure. Each transformation increases entropy, neatly following the second law, making the growth of cities, trade, and material wealth physically inseparable from accelerating energy dissipation. Overshoot, that in 2025 occurred on July 24, is a consequence.

Here’s the thing. None of these dynamics require a theory of moral failure.

So let’s return, for a moment, to shame.

The mind deflects fault onto others to avoid the searing heat of the feeling that I am not merely someone who did something wrong, but someone who is wrong. The distinction between guilt and shame is the distinction between a correctable error and a permanent verdict on identity. I made a mistake, I am guilty and I can make it right. Shame tells me that I am the mistake, and there is nothing I can do about it. Blame is a handy escape route from shame because, after all, it was your fault.

Ecological overshoot produces a version of this dynamic at civilisational scale. When a person or a culture absorbs what industrial humanity has done to the biosphere it is genuinely confronting, and the psychological options are limited. One is denial. The numbers are wrong, the scientists are mistaken, it is not really that bad. Another is grief, being homesick at home, which is honest but difficult to sustain at the scale required. A third, and the most common, is the diffuse, nauseating sense that to be human is to be the problem, that modernity is a moral catastrophe with no redemption, that we are, as a species, fundamentally and perhaps irredeemably wrong.

Civilisational shame drives the blame reflex just as personal shame does. If we are the problem, the mind reaches instinctively for a subset of ‘we’ that can bear the full weight of the verdict. The corporations, colonialists, capitalists, consumers, politicians or whoever can be identified as the real humans responsible, so that the rest of us, and perhaps humanity itself, can be partly acquitted. Blame becomes not just emotional stabilisation but species-level self-preservation. We are not wrong. They are.

This is obtuse logic, but the brain is powerful and can convince us of almost anything.

The more precise and objective thermodynamic lens offers a different psychological escape route from shame, one that does not require a victim. If the disorder of modernity is the predictable output of evolutionary biology meeting a finite burst of dense energy, then the verdict is not that humanity is morally defective. Humanity did what any energy-using, complexity-building biological system does when handed an extraordinary surplus. It grew.

That is not a comfortable frame, but it is correctable in a way that a moral defect is not. A thermodynamic diagnosis at least gives the option of redesign. A shame-driven verdict points toward punishment, which in the absence of any satisfying target circles back eventually to the self, or, until we find the courage, to nefarious actors in expensive suits.

Eight billion people living within energy-intensive systems on a finite biosphere create pressures that emerge from physics and biology before ethics enters the conversation. It is tempting, perhaps irresistible, to frame overshoot as a fault, a moral collapse that can be blamed on someone or some institution. Only this would misdiagnose what is, at root, a convergence of evolutionary imperatives, thermodynamic law, and a historically anomalous energy subsidy.

That is why we cannot help it.

So we can summarise all this as a premise.

Blame functions primarily as psychological stabilisation to preserve moral identity and perceived control, but it reinforces tribal division, defensive reasoning, and zero-sum politics, thereby obstructing the systems thinking and cross-institutional cooperation required to redesign complex socio-ecological systems.

Blame is emotionally stabilising, which means we like it.

Blame will offer moral clarity and emotional relief. For the individual, it’s great, but at scale it fragments coalitions, discourages institutional learning, and entrenches adversarial politics.

Haidt’s work in The Righteous Mind is already in this essay. His moral foundations research concludes that human beings are tribal and moralistic and that this tribalism is the evolutionary substrate on which collective action is built. Shared moral conviction, a common enemy, a sense that the group’s identity is under threat are the psychological mechanisms through which large groups of otherwise self-interested individuals have historically coordinated to do costly things together.

And we have coordinated to great success, at least in growth terms. Large cooperative groups work without relying on kinship bonds, but at the same time makes it harder to consider other frameworks for moral truth or ways to run a society. Blame can make groups sticky.

This is a serious challenge. If coordination requires a villain, and systems thinking dissolves the villain, have we improved the diagnosis while removing the motivation to act?

The answer depends on what kind of action we need. Moral framing is highly effective at triggering short-duration, high-intensity responses exemplified by protests, elections, boycotts, and campaigns. It mobilises people who are already sympathetic and deepens their commitment. What it does poorly is sustain the low-intensity, long-duration, technically complex institutional cooperation that infrastructure redesign actually requires. Passing a carbon pricing scheme, redesigning building codes, reforming agricultural subsidies, renegotiating grid architecture will not be accomplished by moral arousal. They need the grinding, multi-year, multi-stakeholder work of institutional redesign, in rooms that include people who disagree politically.

Haidt’s prescription of tribalism is calibrated for winning elections, defending territory, or sustaining religious communities. It is a prescription developed for a world in which the challenge is motivating an in-group to act against an out-group. Overshoot is not that kind of problem.

There is no out-group to defeat.

The system that needs redesigning includes everyone, runs on everyone’s energy consumption, and requires everyone’s institutions to change simultaneously. For that task, the blame game keeps producing out-groups when what is needed is coalitions.

Haidt is right about what motivates tribal mammals. There is no reason to dispute neuroscience. But tribal motivation is a poor tool for a systemic problem, and I wonder whether professional communicators who have built their entire strategy around that tool have considered what it might be producing at scale.

And there is another reason blame is a problem.

Human cognitive architecture evolved to assign responsibility within small tribal groups, favouring clear agents and moral narratives; this creates systematic blind spots when confronting large-scale, distributed systems in which causation is diffuse, delayed, and emergent.

For most of our evolutionary history, humans lived in small bands, rarely exceeding 100–150 individuals. In the brutal reality of foraging for food every day, cooperation, reputation tracking, and punishment of defectors were essential to survival. Identifying who failed to share food, who violated norms, or who posed a threat had immediate adaptive value. Anthropologist Robin Dunbar’s work on neocortex size and group limits suggests that human cognitive capacity evolved to manage stable social networks at roughly this scale.

Our brains were wired for these small, relatively intimate groups, where cause and effect had a face. If someone shirked, hoarded, or harmed, you saw it. The consequence was immediate and personal. Agency was not an abstract concept of some other thing, it was the person across the fire from you or leading the singing in the next fire along. So we became exquisitely sensitive to who did what, and who was to blame.

Cognitive science confirms this bias toward agency; a somebody did it response. Humans display what researchers call the hyperactive agency detection device (HADD), a tendency to infer intentional actors behind ambiguous events. This bias helped ancestral humans avoid predators or social betrayal but also predisposes modern populations to see deliberate intent in complex outcomes.

Similarly, the fundamental attribution error, well established in social psychology, leads individuals to overemphasise personal traits and underemphasise situational or structural factors when explaining behaviour. When scaled to planetary crises, this bias favours stories about greedy executives or narcissistic politicians over explanations involving feedback loops, infrastructure design, or energy dependence.

Time blindness compounds the problem. What researchers call hyperbolic discounting shows that humans systematically undervalue future risks relative to immediate rewards. Climate change, soil degradation, and biodiversity collapse unfold over decades, often with nonlinear tipping points and lagged consequences. Our cognitive architecture struggles with slow-moving, probabilistic threats like these. Daniel Kahneman’s distinction between fast, intuitive thinking and slower analytical reasoning rationalises the gap. Our intuitive cognition seeks clear cause-and-effect narratives, while systemic environmental problems require statistical and abstract reasoning that feels cognitively effortful and emotionally unsatisfying.

The challenge to our evolved thinking abilities is that ecological and economic systems run on distributed causation. No single individual causes atmospheric CO₂ accumulation. It is the cumulative result of billions of energy-consuming actions, most of them inside industrial systems that were built to make those actions normal. Add feedback loops, path dependence, and emergent properties, and the trail is lost altogether. You cannot draw a straight line from one actor to the outcome.

But our moral intuition keeps asking for a culprit with a name. Neuroscience and behavioural research on moral outrage show that attributing harm to identifiable agents activates reward pathways in the brain, creating a reinforcing emotional response. Blame feels clarifying and energising. This is why public debates so often slide into personalised blame instead of structural diagnosis. Messengers beware.

The alternative is to distribute responsibility thinly across populations and generations. This is a problem too as it generates cognitive overload and emotional ambiguity. The mind prefers a villain. How many drama shows on television have you quietly been rooting for the villain?

We have ourselves a mismatch. A brain that is comfortable with personalisation, moral simplification, and resistance to structural explanations, is great in a tribe on the savanna but not well suited to complex, long-duration environmental crises. Recognising this does not excuse harmful behaviour, nor does it mean there are no villains engaged in large-scale impacts. They exist. But being ready to blame explains why public discourse so often ignores the big picture.

When environmental breakdown is treated as a systems failure rather than a morality tale, the question shifts from whom to blame to what to fix.

Urban transport studies by Peter Newman and Jeff Kenworthy demonstrate that residents in dense, transit-oriented cities produce 60–80% lower transport emissions than those in car-dependent suburbs because the built environment makes low-carbon choices easier and often automatic.

Similarly, the rapid decline in coal use in the United Kingdom over the past decade was driven less by moral awakening than by structural shifts in carbon pricing, renewable energy cost reductions, regulatory reform, and grid redesign. Once the system made cleaner electricity economically viable and operationally reliable, emissions fell sharply. The International Energy Agency has repeatedly shown that efficiency standards and infrastructure investment deliver greater and more consistent emission reductions than voluntary behavioural appeals.

The recovery of the ozone layer following the Montreal Protocol was achieved not by vilifying consumers of aerosol sprays, but by redesigning industrial chemistry, phasing out chlorofluorocarbons, and supporting technological substitution.

Research in behavioural economics shows that defaults, pricing signals, and social norms embedded in institutions guide behaviour far more effectively than moral exhortation alone. Countries that implemented automatic enrolment in renewable electricity tariffs or retirement savings saw dramatic participation increases without requiring individuals to undergo moral transformation or blame anyone.

The lesson is that when we align systems with desired outcomes, large-scale change becomes feasible. Leverage lies in rules, feedbacks, and information flows rather than in moral condemnation.

When the system changes, outcomes follow.

When you encounter an environmental controversy that has been organised around the search for a guilty party, it helps to run three questions in sequence.

1. What evolutionary or biological mechanism is operating here?

Human beings expand consumption when surplus energy is available, resist loss more intensely than they pursue equivalent gain, discount future risk against present reward, and conform to the behaviour of their immediate social group. These are not character flaws. They are deeply conserved traits that were adaptive across almost the entire span of human existence. If a behaviour pattern is near-universal across cultures and income levels, the explanation almost certainly lies at this level. Car dependency is not primarily explained by laziness. It is explained by the fact that humans are predisposed to take the path of least resistance when a system has been designed to make driving the easiest option. Identifying the mechanism tells you where the intervention needs to land.

2. What thermodynamic or physical constraint is being violated, and by how much?

Overshoot is a quantifiable condition. As noted already, the Global Footprint Network calculated the date humanity consumed more from nature than the planet can regenerate in a twelve-month period was 24 July in 2025. Individual sectors have analogous measures, from the carbon intensity of energy supply and the nutrient loading of agricultural runoff, to the material throughput per unit of economic output. These numbers tell you the size of the gap between what the system is doing and what the biosphere can absorb. They also tell you whether the gap is embedded in infrastructure with 30- or 50-year lifespans or behavioural, where attitude change might actually reach it. In the UK coal case, grid architecture locked in fossil generation, regardless of what individuals chose. No amount of consumer virtue could close it. Regulatory and investment redesign could, and did.

3. What infrastructure or incentive redesign could align human behaviour with physical limits, without requiring moral transformation as a precondition?

This is where the leverage actually lives, and it is the question that blame-framed debate consistently fails to reach. Newman and Kenworthy’s research on urban transport showed that dense, transit-oriented cities produce dramatically lower emissions not because their residents are more virtuous but because the system makes low-carbon choices the default. The Montreal Protocol worked because it restructured the industrial chemistry of refrigeration and aerosols, making CFC-free alternatives commercially viable and legally mandatory. No consumer had to change their values. The system changed, and behaviour followed.

Naturally, there is a crucial caveat.

Running these three questions does not dissolve individual responsibility. There are still actors who make choices, and some of those choices are better or worse than others. But the question stops being who deserves blame for this? and becomes what mechanism is driving this, how large is the physical constraint, and what system change would move the needle regardless of moral consensus?

That is a question a sustainability consultant can take into a client meeting. It is a question a retired engineer can raise in a community planning session. It is the question that has actually produced results in the cases where results have occurred.

This essay has danced around a quiet paradox. The same mechanism that protects an individual ego from fracture can, at scale, fracture a society.

The blame reflex may be an evolutionary inheritance, but many sociologists and psychologists argue its frequency and intensity have spiked in the modern era. We have not necessarily become worse people. We have constructed an environment that acts as a super-stimulus for blame.

A generation ago, you might have been a Labour voter and also a member of the local footy club, a parishioner, or a neighbourhood watch member, groups that included people with entirely different political views. You had more than one tribe.

Those overlapping affiliations created friction. They made it harder to reduce someone to a single disagreement. The modern shift is identity sorting that has collapsed political, religious, and cultural identities into two or three mega-identities. When you blame the other side now, you are taking on what feels like the antithesis of everything you value. Gone are the days of banter and healthy argument. Blame stops being transactional and starts feeling existential.

And then we added a virtual world to steal our time and change our interactions. Social media platforms are engineered to prioritise high-arousal emotions because those emotions drive engagement. Blame and outrage sit at the top of that scale. On the socials, a nuanced take on a complex problem gets crickets. A post that names a villain and assigns responsibility spikes, and the reward loop kicks in. Likes and shares from your tribe deliver a dopamine hit. The system gamifies blame, and we adapt to the game.

Certainly, the world is objectively more complex than it was 100 years ago. Global supply chains, infectious diseases, economic shifts are large, convoluted systems that are difficult to map, let alone explain. The human brain prefers clarity, but the gap between how complex problems are and how simple we want the explanation to be, has widened beyond our ability to cope. Blame closes that gap by shrinking a thousand systemic variables into a single target. It was their fault.

But the thing is, it’s nobody’s fault.

For 96 percent of recorded human history and 99.93% of our evolutionary past, we were constrained by endogenous energy. The calories we could consume gathered through the muscle power of humans and animals. Social structures, moral codes, and population levels moved at the pace of the sun and the seasons. Then came the spike. Roughly 200 years ago, we accessed a vast inheritance of exogenous energy in coal, oil, and gas. One barrel of oil delivered the work equivalent of about 12.5 thousand hours of human labour. This was a phase change. Almost overnight, we became a species that uses dense energy to push hard against natural limits.

And energy increases complexity.

More energy leads to more specialised roles, which leads to more bureaucracy, which leads to more intricate global systems. As long as energy remained cheap and expanding, growth was not simply a choice. Biological systems follow what is called the Maximum Power Principle. If surplus energy is available, organisms will use it to expand their reach. Humans are not exempt from that pattern.

From the vantage point of the energy pulse, fault-finding makes little sense. Blaming the colonialists, the capitalists or the corporations resembles blaming a plant for growing toward light. Once high-density energy was used to reduce infant mortality and increase food production, path dependency set in. Billions of people were as inevitable as the global metabolism. No single actor directs the aggregate energy burn. It is a self-organising process constrained by thermodynamics.

The appeal of this lens is that it strips away some of the moral charge. If the disorder of modernity is thermodynamically conditioned, guilt becomes less explanatory. Blame becomes less useful.

The core reality remains stark.

We are a species that struck a geological jackpot and are now living through the high-speed, high-friction, energy dissipating consequences of spending that jackpot all at once. Understanding that it is nobody’s fault in the causal sense is crucial to what comes next.

Joe’s golf game will not improve by blaming Baz, the golf pro, for fat grips. Baz probably knows this. So does Joe. Blaming the fat grips and the advice are just easier to say out loud, making Joe feel so much better.

But you cannot redesign a system you are too ashamed to examine honestly.

Primary Sources

Dunbar, R. I. M. (1992). Neocortex size as a constraint on group size in primates. Journal of Human Evolution, 22(6), 469–493.

Feinberg, M., & Willer, R. (2011). Apocalypse soon? Dire messages reduce belief in global warming by threatening belief in a just world. Psychological Science, 22(1), 34–43.

Haidt, J. (2012). The righteous mind. Why good people are divided by politics and religion. Vintage Books.

Newman, P., & Kenworthy, J. (1999). Sustainability and cities. Overcoming automobile dependence. Island Press.

Smil, V. (2017). Energy and civilization. A history. MIT Press.

Stoknes, P. E. (2015). What we think about when we try not to think about global warming. Toward a new psychology of climate action. Chelsea Green Publishing.

Between a research laboratory and public understanding lies a translation chain.

Press officers, journalists, policy advisors, and advocates each have good reasons to simplify what arrived at their desk. This Insight names the cumulative result.

System drift is the process by which qualified findings become confident assertions, and confident assertions become things that everyone knows.

The evidence stays the same. What people say evidence shows does not.

System drift explains why the sceptic’s interrogation of authority is structurally necessary, not merely virtuous. Being a Mindful Sceptic builds the case. Read it there first.

Grass has come up thick to choke the wheel ruts and in the paddocks shrubs are everywhere trying to compete with the first thin trees.

From the road an abandoned field reads like healing, a return to nature, the very rewilding that so many suggest is a great idea.

Up close, it’s sad.

The hard number

In orbit are satellites that generate high-resolution imagery of the Earth’s surface. The UN Food and Agriculture Organisation (FAO) fuses data from these Sentinel-2 and Landsat systems with advanced machine learning to track long-term shifts in land cover.

Scientists analyse the spectral signatures of vegetation, looking for a distinct transition from the uniform, seasonal cycles of managed crops to the chaotic and uneven regrowth of natural shrubs and weeds.

So they don’t miscount fields that are fallow, they apply a strict temporal filter, requiring a field to show zero agricultural activity for a consecutive period of two to five years before it is officially classified as abandoned. This satellite data is then cross-referenced with ground-level agricultural census records to filter out land lost to urbanisation, resulting in a precise measurement of the leaky bucket of global arable land.

The hard number is that the FAO estimates that the area of croplands abandoned every year globally is approximately

This rate has been consistent since 2001 and is equivalent to roughly 78 million hectares in a generation, which, if this were its own country, it would sit between Pakistan and Chile.

78 million hectares is well over twice the size of Germany and larger than the entire country of France.

On average, these fields are abandoned for ~14.2 years before being cultivated again or repurposed.

Even if these numbers are imprecise, they are directionally reliable, and they imply three things that don’t sit comfortably together.

First, land abandonment is real and large enough to matter. ‘Millions of hectares per year’ is not a rounding error, even if it feels like one. If you compare the 3.6 million hectares against the world’s 1.4 billion hectares of active arable land, we lose roughly 1 out of every 385 hectares to abandonment each year. Whilst this may not sound like a lot, it is cumulative and adds up over time. Plus, every hectare lost means another hectare in production must take up the food slack.

Second, this hard number has to go alongside the 2% growth in production for 30 years, the goal of doubling global food production by 2050 required to meet projected demand. 2% for 30 is shorthand used by food security experts to describe the minimum required productivity increase to feed a projected global population of nearly 10 billion people without further destroying natural ecosystems; a task that gets even harder as agricultural land is abandoned.

The third issue is that net change also hides churn. You can lose land in one category while expanding elsewhere. The 3.6 million hectares can seem modest, but it is a net number, so the systems can look relatively stable while relocating its footprint.

Again, the FAO and United Nations Convention to Combat Desertification estimate that the actual annual loss is roughly 10 to 12 million hectares of agricultural land every year just from land degraded through drought and desertification.

But roughly 5 to 8 million hectares of new land are brought into production annually. This is almost exclusively through deforestation where tropical forests are converted to soy or cattle pasture and encroachment into peatlands.

Much of the land that is degrading and abandoned was originally high-quality with established topsoil. The new fields come from low-nutrient, frontier land, typically cleared rainforest. This new land is less productive initially and declines in fertility faster, requiring massive chemical inputs to reach the same yield, making the ‘2% for 30’ growth target even harder to hit.

Abandoned doesn’t automatically mean recovered. If the average duration that land is not producing food is around a decade plus, then much of what looks like ecological return is a temporary phase. The land is not rewilded, it just goes out of production for a time that is long enough to matter but short for ecological succession and soil recovery.

As usual, the headline number of 3.6 million hectares of arable land abandoned per year is less informative than the mechanism of substitution underneath it. Abandonment can reduce pressure in one place while increasing it somewhere else. It can create carbon uptake in one landscape while shifting fertiliser-driven production to another. It can look like land sparing while functioning like land shuffling.

Framing the hard number

At 3.6 million hectares per year, the abstract becomes easier to hold if you slow it to a rate. That is roughly 9,900 hectares every day — which means that between the time you sat down to read this and the time you reach the end of it, somewhere between two and three thousand hectares of cropland will have formally exited production. Not degraded. Not stressed. Gone.

Nearly 63% of all European farms are under 5 hectares in size. Three thousand hectares can be plenty of farms.

Agricultural land abandonment is often framed as either failure introducing food insecurity or redemption as rewilding, but it is better understood as a predictable outcome of profitability interacting with ecological limits.

Some basic definitions are useful here because abandonment is holding on to a lot of meaning.

Agricultural land abandonment is land that stops being actively farmed for a period long enough to be classified as no longer in production. The practical problem is that idle can look like fallow, and both can look like shrubland from space.

Mechanistically, abandonment usually isn’t a moral choice or a single-cause collapse. It’s a marginalisation spiral, unique to each farm but with the general pattern that begins with ecological stress from single or combinations of salinity, erosion, nutrient depletion, heat or water stress, and slope that raises the cost of maintaining yields.

The necessary economic response requires more inputs, more machinery, more debt, more risk, while commodity prices remain volatile. The farmer or farm business become progressively more precarious.

Then, typically, a trigger event arrives, such as a subsidy change, family succession failure, price crash, illness, or perhaps a better job offer, after which exit becomes rational because the land is not dead, but it’s no longer worth keeping alive.

The named constraint here is the biophysical profit constraint. Farming is bound by soil, water, terrain, and climate, but it is also bound by whether those constraints can be overcome at a price someone can pay. When the cost curve crosses the market curve, land is quietly abandoned.

Fallow fields initially taken over by weeds and then slowly returning to nature is what you see at the end.

It’s helpful to see where it starts.

Behind the hard number

Modern farming is an engineering project laid over biology. Fuel, fertiliser, machinery, finance, seed systems, irrigation infrastructure, roads, storage, export terminals is a scaffolding built onto soil. Land gets abandoned when 1) that scaffolding becomes too expensive for the output, or 2) when the land’s biophysical limits demand inputs the farmer cannot fund, or 3) where the soil capacity is so eroded it cannot function to produce food at all.

In mature economies, subsidies, insurance, procurement rules, and trade policy are meant to keep farmers in business. In practice, they also decide which landscapes stay in production. If policy rewards scale, flatness, and exportable commodities, then small, steep, fragmented, or marginal holdings become systematically unfundable.

Abandonment becomes policy expressed as geography.

Analysis suggests that socio-economic drivers may account for roughly 60–70% of abandonment catalysts, with direct ecological failure as 30–40%, and the two are entangled anyway. A field or a farm can be healthy enough on paper, but the labour and time required to farm it becomes irrational when cities offer multiples of income for a lot less effort and stress. The land doesn’t have to fail for the logic to fail.

The comforting story has it that land gets abandoned, nature returns, emissions fall, biodiversity rises. These might be true and are fine, so long as everyone remembers there are several possible consequences and outcomes:

• food still needs to be produced elsewhere

• the land is re-cleared later

• regrowth is interrupted by fire or development

• displaced demand shifts to more fertiliser-intensive systems

• abandoned land becomes a speculative asset.

In other words, rebound in environmental values is conditional.

Abandonment is not automatically land restoration. It is a land-use decision shaped by prices, policy, labour, and biophysical constraints. It is rarely a choice to rehabilitate.

Clean metrics that imply clean outcomes are a delight. We will get the satellites to provide the images for us to count hectares saved, hectares restored, hectares abandoned.

Institutions repeat them because they travel well through reports, speeches, and ESG presentations. They also allow everyone to sound serious without confronting the constraint that agriculture is a competition between uses within landscapes, and landscapes are constrained by energy, water, soil, and the cost of overcoming those limits.

Instead of pragmatism around these realities, land abandonment becomes a convenient narrative prop for multiple tribes.

Progress narratives will say, look, pressure is easing.

Crisis narratives will say, look, we’re losing farmland.

Tech narratives will be typically upbeat and claim we can intensify elsewhere.

Conservation narratives will quietly be happy about land abandoned and say that rewilding is happening.

Each story can be partially true, but they collide unless someone does some full system accounting for what production moved, what inputs rose, what ecosystems took the substitute load, what happens after the average 14.2 years when the land comes back into play.

Not to mention what happens to the soil during that short rest.

People repeat the simple story because the complex one creates obligations. You have to specify boundaries, time horizons, counterfactual land use, and displaced demand.

Complexity is expensive.

The Deeper Pattern

Abandonment is a signal, not a victory. In most cases, it marks the profitability constraint tightening past the point of viability. This means any policy that sidesteps soil, water, and labour realities will only buy some political theatre and perhaps a few votes, but not resilience.

Where abandonment occurs, the pressure for substitute clearing or intensification elsewhere is unavoidable. Not exporting the damage requires enforcement capacity and political appetite that are rarely available at the same time.

Many agricultural landscapes are constrained by the vagaries of the environment. Steep, salinised, water-stressed country will drop out earliest and keep dropping out. It is possible to plan for this eventuality, but we don’t.

Ecological recovery from agriculture is slow and conditional. Short-term abandonment will not reliably deliver the biodiversity or carbon outcomes that advocates promise. It is important to be honest about rewilding time.

Where institutions must report hectares lost, these numbers need context. What were the system boundaries? What replaced the production? What inputs changed? And what did the landscape look like a decade later? Even if measurement is hard and politically inconvenient, never leave a number alone.

Being A Mindful Sceptic

Pick a piece of land you know this week and audit it. Your region would do, or a food supply chain you depend on, a farm district you drive through, a paddock at the edge of town.

Write down in plain language what factor could cause that land to stop being farmed. Water scarcity, labour shortage, debt load, slope, salinity, or a policy shift are the candidates worth naming.

Then ask whether net production would fall if that land stopped producing, or whether somewhere else would simply pick up the slack. Carbon markets call this leakage. The question matters more than the term.

Work out what extra inputs would be needed to keep production going regardless. Irrigation, fertiliser, diesel, land clearing, freight distances. Put them on paper, so the true cost of continuity becomes legible.

Finally, ask what would have to be true for abandonment here to become durable recovery of soil health and productive capacity, rather than a pause in production. That last question is the hardest one, and it is the one most plans quietly skip.

Key Points

• Agricultural land abandonment can resemble rewilding from a distance. Up close, it is usually the last visible stage of a profitability and constraints spiral, where margins thin, inputs rise, labour shifts, and exit becomes rational.

• The headline hectares look decisive, but when land drops out in one region, demand does not politely disappear. It is met through expansion, intensification, or clearing somewhere else, so churn and substitution sit behind the tidy totals.

• Abandoned is a loose word. In practice, it happens for long enough to unsettle communities and local economies, yet often too short and too conditional to deliver full ecological succession, durable biodiversity gains, or stable carbon outcomes.

• A credible response treats abandonment as a signal, traces displaced damage, plans transitions for the most constrained landscapes, and is explicit about recovery time.

Back to the Front

The sagging fence and the quiet gate are not nature’s victory lap. They mark the moment a profit and loss account won a fight with a hillside, or a dry season, or a son who didn’t come back.

If we want abandonment to mean recovery, we have to treat it as a system and understand why the land was walked away from in the first place.

Every social media platform runs on the same arithmetic. Fresh content displaces what came before it, and emotional content travels further than complex content from the first post.

The problem runs deeper than virality. Recency-weighted feeds have no mechanism to resurface an artefact whose moment has passed.

Depth does not simply lose the initial race. It disappears from the track entirely.

This insight examines how that structural design choice plays out, and what a deliberate reader can do about it.

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The koala is a remarkable fundraising asset. It is also a convenient story because the villain and the hero fit on a poster, and the solution feels obvious enough to print on a tote bag.

But the affection people carry for a charismatic animal is not neutral. It shapes what they believe the problem is, what qualifies as a solution, and which evidence they are prepared to sit with.

Saving the Koala examines how emotional engagement with a single species distorts reasoning about biodiversity at scale.

The brain evolved for immediacy and still runs that firmware. Slow, diffuse, planetary-scale threats find no purchase on circuitry built for snakes and rival tribes. Over millennia, humans built cultural architectures to compensate for what individual cognition cannot manage alone. Scientific institutions, legal systems, civic deliberation and social contracts that worked required enormous effort and social enforcement to hold together. Then came an economy optimised for frictionless speed that dismantled the slow institutions that had been managing them, and we are back to where evolution left us.

In 1987, I went to live in Zimbabwe. What a joy and a privilege that was for a greenhorn academic. A postdoctoral fellowship in Africa was dreamland. One of my first safari adventures was to Mana Pools on the banks of the Zambezi River. One morning we were back from a game drive and at the edge of the camp I spotted a snake that required investigation, for most in that part of the world are quite dangerous. “Oh, it’s okay,” I announced with unmerited surety, “just a young python.”

It was indeed an African Rock Python (Python sebae), not venomous and harmless enough for me to lie down on my stomach for a close up photograph. Not happy with this intrusion, the snake decided to strike, which I didn’t think it could. It missed, and I jumped back up almost as fast.

I escaped my lapse in instinct and sat back down, still intact and able to recount the story at dinner parties ever since. In the telling, it was clear that Westernised humans would not survive the perils of nature for very long without our machines, buildings and supplies. We have lost the knack that we must have had, given humans had lived with such perils for thousands of generations.

The truth is that we still have the mental acuity for survival. That wiring still dominates our thoughts. Our first thought is for the snake in the grass. What is coming next, and very soon after, is our second, third and fourth thought too. This now thinking is what kept us alive on the savanna. But it might be a liability for the scale and pace of the challenges posed by a population of 8 billion humans.

The problems that now threaten human systems arrive as trends, as parts per million, as basis points on a discount rate, as a fraction of a degree per decade. They are real, but they do not trigger the circuitry that evolved to handle immediate threats. The brain that scans for immediate danger finds nothing to lock onto, and so it returns to the present moment, which feels manageable, and files the rest under someone else’s problem or someone else’s century.

Evidence from evolutionary anthropology, neurology, ethnography and archaeology suggests that for approximately 300,000 years, Homo sapiens lived in small bands typically numbering 25-150 individuals, with social structures rarely exceeding Dunbar’s number, the sweet spot of approximately 150 people optimal for stable social relationships.

Survival in these small groups required a brain to process information because where our ancestors lived, immediate, tangible threats such as predators, hostile outgroups, resource scarcity, green tree snakes, and environmental dangers, were present every day. Structures such as the amygdala, which plays a key role in threat detection and emotional processing, are primed to respond to stimuli that are immediate, concrete, and emotionally charged. This prioritisation was advantageous when humans faced acute, short-term dangers like predators or social conflict. What we now call heuristics or biases helped make rapid, intuitive judgment and conserved cognitive resources. We were good at quick decision-making, even if not perfectly rational.

Many modern cognitive biases are direct extensions of this evolutionary tuning. For instance, the prefrontal cortex, responsible for long-term planning and abstract reasoning, is a more recently developed area of the brain and often defers to older, emotion-driven regions when decisions must be made under uncertainty or stress. This neural tension leads to systematic distortions in how we perceive risks, value rewards, and relate to others; distortions that are highly predictable and well-documented across cultures.

Temporal discounting, proximity bias, correctness bias, and in-group favouritism were all adaptive in a world of immediate decisions, where threats were physical, local, and fast-moving. Climate change, economic inequality, and global pandemics are none of those things. They are abstract, slow, and described in probabilities. The legacy wiring struggles to register them with the urgency the evidence warrants.

Of course, a brain that responds like this is not without benefits. Among other things, abstract thinking, symbolic reasoning, and cultural transmission are products of the same evolutionary process, running on the same neural substrate.

What the brain can do, under the right conditions, is remarkable. Humans can model future scenarios, consider consequences for generations, and plan for contingencies that have never been experienced. We can imagine our own deaths; a remarkable, difficult, and underappreciated capability. Clearly, the brain can handle abstraction, but it takes effort.

Some individuals and societies have demonstrated sustained ability to plan across generations and reason about abstract, long-term risks. Many Indigenous cultures maintained resource management practices across centuries, developing cultural frameworks precise enough to compensate for the short-horizon defaults of individual cognition. The knowledge was encoded in practice, story, and obligation rather than in spreadsheets, but the function was the same.

And then there is the man in the pure wool suit shorting AI stocks on the futures exchange. He responds to the immediate for future gain and is thankful for every bias.

Whilst we can comprehend planetary-scale challenges, doing so requires conscious effort and supportive cultural and technological systems. This framing helps explain why climate change, biodiversity loss, and other global challenges require special effort to sustain. It also suggests that systems designed to work with evolved psychology rather than against it stand a better chance of enabling the collective action the scale of those problems demands.

There is a risk of overstating how deterministic these cognitive biases are, given they create tendencies rather than dictate outcomes. Minds naturally process information, and motivation makes it possible to design systems that channel those tendencies rather than fight them. This is what has happened.

Modern information ecosystems operate primarily on what Tristan Harris, co-founder of the Centre for Humane Technology, calls an attention extraction business model, where revenue comes from maximising engagement rather than delivering societal value.

Algorithms amplify content that triggers emotional responses because outrage, fear, and tribal identity generate higher engagement. People stick around to say what they think, argue, and support the tribe. The architecture of social media is optimised for attention, and attention is easiest to capture when the content triggers emotions.

The bite-sized nature of modern media exploits the same vulnerability. Cal Newport’s argument in Deep Work is that the modern knowledge worker faces constant interruption severe enough to limit sustained concentration. Studies suggest the average worker maintains focused attention for 3 to 5 minutes before switching tasks. That is well below the threshold required to understand complex systems or generate meaningful insight.

Digital platforms also reward controversy over clarity. For example, a post that presents atmospheric data clearly and objectively gains modest attention. The same information, framed to imply controversy, achieves exponentially greater reach. The algorithm did not distort the science, but it distorted who heard it, and how.

Economic structures amplify cognitive biases as reliably as information systems do. Quarterly reporting cycles reinforce temporal discounting by rewarding immediate returns over long-term sustainability. Externalised costs exploit narrow framing by hiding the true impacts of consumption from the people making consumption decisions. GDP as the primary success metric encodes the same preference. It makes quantifiable growth legible and leaves well-being and sustainability off the ledger.

Information and economic systems aren’t uniformly exploitative, but their default settings tend to amplify cognitive vulnerabilities rather than correcting for them. This makes perfect sense when the bias delivers the response from the many that the institution desires. It is, after all, the path of least resistance.

Information environments could reward slower and deeper thinking, build information literacy as a core educational competency, and redesign recommendation systems to counterbalance rather than amplify bias. Economic systems could extend reporting timeframes beyond the quarterly cycle, incorporate success metrics broader than GDP, make externalities visible through pricing or transparency requirements, and develop governance structures with standing to represent future generations.

They could, and all it requires is treating cognitive architecture as a design constraint rather than a fixed liability. All of this sounds plausible, and it makes the attention to bias a bit of an excuse. We can’t help it because our savanna brains give us the tendency to respond immediately and draw us towards conflict.

It may sound excusable, but I am not expecting a global awakening where eight billion people collectively discard their smartphones and relocate to eco-villages. I wrote with that naive assumption in my book, Missing Something that reads like wishful thinking. The attention economy is a multi-trillion-dollar gravity well. The economic incentives to harvest human attention are too large, and the algorithms too effective, for a spontaneous mass uprising to occur.

A fracture is more realistic, and the early tremors of this cognitive split are already visible.

There is a genuine market for digital minimalism. Gen Z and Millennials are intentionally swapping high-powered smartphones for minimalist e-ink devices like the Light Phone, or installing text-only launchers on their screens. They are not doing it for nostalgia. They are doing it as a self-defence mechanism against digital burnout.

Governments are slowly waking up, proposing social media bans for minors and placing guardrails around algorithmic manipulation. Policy moves at a glacial pace compared to technology, so the macro change will take decades. The micro change is where the real action is. Owning the newest, most powerful technology was once a mark of status. The tables have turned. A screen-free life, genuine unavailability, and the capacity for deep uninterrupted concentration have become luxury goods.

A low-level worker in the modern economy is often compelled to be hyper-reactive, answering pings, monitoring dashboards, and responding to notifications throughout the day. The executive class, elite creatives, and top-tier engineers are the ones who can disappear for four hours into a deep work block to solve a single high-leverage problem. The split is already a socioeconomic reality.

But don’t be fooled, this is not corporate altruism. It is raw capitalism. Companies are discovering that expecting employees to be available on messaging platforms around the clock destroys the bottom line. Constant context-switching produces burnout and poor strategic decisions. Forward-thinking organisations are adopting asynchronous communication because deep focus is the only reliable way to produce high-value intellectual work.

If the analysis holds, the future is a stark and uneven cognitive class divide.

Those with the psychological literacy, resources, and discipline to engineer their environments will hold the monopoly on deep focus, critical thinking, long-horizon wealth accumulation, and emotional stability. Those trapped in the hyper-calibrated, dopamine-optimised loop will remain the product. Perpetually over-stimulated, anxious, short-sighted, and susceptible to outrage.

A system this powerful and this profitable will find a way to charge for the exit. Those who manage to engineer their way out are comfortable enough that they have no reason to dismantle the machine that produced the problem. The system does not need to suppress revolt. It just needs the people capable of leading one to feel they have already won.

The brain evolved for immediacy to ensure survival. Exactly as expected. A rustle in the undergrowth meant a predator, near and immediate. A drought hit the valley you could see from the ridge. A thrown rock travelled in a predictable arc. Problem, response, consequence was a tight loop and the scale was small. Human neurobiology was forged in this environment where problems were local, immediate, and linear.

The problems we now face are global, systemic, and exponential. Economic shifts, algorithmic feedback loops, climate systems, and information warfare are huge at every level and the human brain has no native sensory organs or cognitive defaults to comprehend problems at this scale, let alone navigate them.

But the same brain also produced the cultural architectures that compensated because we are nothing if not adaptive. Because biology could not handle large-scale complexity on its own, humans spent thousands of years building the heavy machinery of civilisation to achieve what the individual could not. Universities, legal systems, and scientific methods were designed to slow thinking down and verify truth before acting on it. Religious, philosophical, and civic frameworks forced individuals to consider legacy, generational time horizons, and duties to the collective rather than to immediate impulse.

None of this happened naturally. These slow thinking institutions require immense energy, social enforcement, and deliberate education to maintain.

And here is the crux of the modern crisis. The digital, hyper-marketed environment did not merely exploit individual psychology. It also dissolved the machinery that had protected us from ourselves.

Efficiency, convenience, and frictionless monetisation became the supreme values. When a society is optimised entirely for frictionless speed, it accidentally destroys the institutions that require deliberate friction to function. Deep journalism was replaced by rage-bait clicks. Long-form civic debate gave way to the character-limited post. Deep community bonds were replaced by parasocial networks.

The conditions that once activated our highest-level cultural architectures, silence, patience, shared localised truth, institutional trust, have been systematically engineered out of existence.

Think about this as an ecologist observing a species whose habitat has changed faster than its genetics can track. It is a description of an ecosystem out of equilibrium.

If the observation is treated as exactly that, an observation, the next logical question shifts. The question is no longer how to fix a broken brain. It is what new cultural architectures can be built to survive the scale of the world we now inhabit, given that the old ones have been dismantled.

We can move past the self-help guilt trip that you lack willpower, and past the standard tech-industry critique that Silicon Valley is evil.

The current predicament is a mechanical and evolutionary mismatch. Not a spiritual crisis.

Notes & Sources (for the curious)

Evolutionary wiring and tribal scale

• The human habit of prioritising immediate physical threats over diffuse, slow-moving hazards is deep evolutionary tuning. The amygdala registers acute danger well before the prefrontal cortex can process abstract planetary risk. The circuitry is old, and it does not update on request. Isbell (2006) sets out this ancient neural prioritisation through the Snake Detection Theory. The framework traces primate visual acuity back 40 to 60 million years, to persistent predatory pressure from snakes. Ancient perils shaped modern sight.

• Homo sapiens lived in small nomadic bands for roughly 300,000 years. Social cohesion and stable community relationships evolved within that context, and they hit a hard ceiling set by brain architecture. Dunbar (1992) established that human neocortex size correlates with a maximum stable social group of approximately 150 individuals. The threshold is fixed and that wiring does not scale. At 8 billion people, the ancient social architecture that held small bands together simply breaks under the load, destroying cohesion.

Cognitive biases and temporal discounting

• Modern cognitive biases are direct extensions of evolutionary adaptations built to conserve scarce mental energy. Mechanisms like temporal discounting and proximity bias systematically distort risk perception by devaluing distant rewards and downstream consequences. What worked on the savanna produces poor judgement at civilisational scale because the wiring was never designed for these problems. Kahneman (2011) documents how fast, intuitive neural architecture routinely overrides slower deliberative reasoning under conditions of deep uncertainty.

• The failure of modern populations to follow basic nutritional guidelines reflects an environment deeply mismatched with evolved cravings for calorie-dense foods. Data from the US Centres for Disease Control and Prevention (2022) indicate that only 10 per cent of American adults meet recommended vegetable intake. Roughly 12 per cent meet fruit targets. Instinct trumps advice. Evolved biology drives consumer choices that flatly contradict modern public health mandates.

Primary Sources

Dunbar, R. I. M. (1992). Neocortex size as a constraint on group size in primates. Journal of Human Evolution, 22(6), 469-493.

Isbell, L. A. (2006). Snakes as agents of evolutionary change in primate brains. Journal of Human Evolution, 51(1), 1-35.

Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.

Every serious communicator eventually builds what feels like an airtight case. The data assembled, the sources peer-reviewed, the argument watertight. Then nothing happens.

This insight from the vault works through why this is the normal outcome rather than the exception. In any domain where the evidence threatens an identity people have already committed to, the mind does not weigh it. It protects the story it has been telling about itself.

The implication is that narrative is the load-bearing structure.

A Systems Spine turns Insight Vault fragments into a coherent sequence. Each one starts with posture, passes through constraints and incentives, and ends with practical implications. The aim is legibility under pressure. Track ecology, energy, mass-balance, and incentives and the world stops looking so mysterious.

When stress rises, societies behave like individuals do with involuntary, instantaneous reactions as though driven by a collective limbic system throwing around emotions, survival instincts, and memory.

This matters because most policy models assume people update beliefs with evidence, trust institutions that are credentialed, and tolerate slow reforms because the long-run plan is sound. In other words, people are rational and so are the societies they live in.

Only we are talking about stress, the body’s non-specific response to any demand for change and an evolutionary survival mechanism to help with environmental adaptation. When stress becomes too overwhelming for the limbic system to process, the brain often pulls an emergency brake and pushes us into denial. In this context, denial isn’t just lying or being stubborn; it is a primitive defence mechanism used to protect the ego from information or reality that is too psychologically painful to handle in the moment.

But what if denial is a stabiliser that hardens dissonance and credentials fail as a persuasion tool because all that eases the emotional pain. A perfect storm where the brain chooses internal consistency over external reality because the cost of being wrong is too high.

Evidence-based policy becomes theatre when bias, incentives, and emotion dominate. Before long perception drives instability faster than material conditions alone would predict.

So, what if…

Denial, particularly of ecological limits, functions as an adaptive stabiliser for individuals and groups when the perceived costs of acknowledging constraints exceed the perceived benefits.

Denial reduces immediate anxiety and preserves identity, status, and social belonging. It also keeps institutions safe by protecting the growth story that underwrites careers and budgets. The opposed orthodoxy treats denial as an information deficit, but many people are not uninformed, they are protecting their psychological health.

Once denial is serving a stabilising function, confronting it raises dissonance rather than clarity.

When cognitive dissonance arises, people defend their identity and prior commitments more aggressively, which makes them less responsive to new evidence and more hostile to change.

People select facts to protect coherence, recruit allies, and punish dissenters, which creates a social immune response against updates. The orthodoxy says more evidence opens minds, but dissonance often flips the response so that more evidence strengthens resistance.

And in a dissonance regime, authority signals like credentials lose persuasive power.

Persuasion depends less on speaker credentials than on whether the message fits audience identity, incentives, and perceived threat levels.

Credentials can establish competence, but they do not dissolve identity risk. If the message implies loss, humiliation, or forced sacrifice, credentials can even intensify distrust by signalling out-group control. As I always imagined as a practicing scientist, the orthodoxy expects peer review and expertise to settle disputes, but settlement requires a psychological path that preserves dignity and agency.

Policy that claims to be evidence-based fails if it cannot operate inside these bias and incentive constraints.

Evidence-based policy interventions only work when biases are anticipated, incentives are aligned, and implementation is designed for real human behaviour rather than ideal rational agents. That’s a lot of alignment. Achieving it is an onerous task for the aware bureaucrats who must always have an eye on the Ministers soundbites.

So instead, policy is justified by the publishing and communication of findings, the evidence, and assumes changing outcomes.

Institutions also face pressures to signal action, protect budgets, and avoid blame, which skews what evidence is selected and how it is applied.

Orthodoxy assumes rational argument drives good policy and that requires evidence. But the binding constraints are legitimacy, incentives, and compliance under stress because these are what motivates action. In short, needs and wants under a social contract.

So when needs become urgent, the time window for careful implementation collapses.

Hunger is a definitive motivator. It produces rapid political destabilisation because it compresses time horizons and forces immediate action regardless of long-term plans or narratives. The only evidence that matters is hunger felt viscerally.

Food insecurity turns abstract trade-offs into personal emergencies. That shifts politics from deliberation to demand, and from persuasion to coercion, because the cost of waiting becomes intolerable. The orthodoxy might say climate first and food later, but in lived politics, food is the constraint that moves first.

The reality is that scarcity and insecurity are powerful forces.

Declining, or perceived-declining, resource abundance shifts political behaviour toward protectionism, coercion, and in-group prioritisation as groups compete to secure access.

Scarcity reshapes the feasible set. Leaders face pressure to stabilise their base, harden borders, and privilege insiders, while opponents escalate to contest allocation. Ideology still matters, but it rides on material and perceived material conditions that tighten the arena. The orthodoxy treats polarisation as mostly cultural, but resources set the gradient that culture then climbs.

This sets up IV-0075 because once fear and competition dominate, perception can outrun reality and trigger self-reinforcing instability.

Threat perceptions can initiate destabilising actions that create the very collapse conditions people fear, even when material indicators have not yet reached a breaking point.

When people expect breakdown, they hoard, defect, and pre-empt, which damages the coordination needed to avoid breakdown. Trust then collapses before infrastructure does, and institutions lose authority before they lose capacity. The orthodoxy waits for objective thresholds, but in complex systems, belief and behaviour can cross the threshold first.

This brings us to the conclusion because the practical problem becomes governing under psychology, not governing despite it.

Conclusion

This Systems Spine is a warning about tempo, and about levers.

Denial stabilises identity, dissonance hardens it, and credentials do not bridge the gap because the gap is not informational.

Evidence-based policy turns brittle when it ignores incentives, legitimacy, and bias. Then hunger compresses time, resource stress reshapes coalitions, and perception does the rest, accelerating instability through self-fulfilling dynamics.

So the larger insight is that governance operates as threat-management under declining resources. The best policies will reduce identity threat, protect dignity, and deliver near-term security while constraints tighten.

Do not bet on late persuasion to do early work.

When the limbic system is triggered, credibility becomes what people feel they can survive. Evidence is not going to cut it.

Every intervention designed to shift public behaviour on ecological limits starts from the assumption that people would act differently if they only knew more.

Decades of environmental communication have tested that proposition and found it wanting. This Insight Vault entry explains why denial persists regardless of evidence quality, and what that means for anyone designing strategies that account for it.

Norway put its oil revenue into a sovereign wealth fund in 1990 and told future Norwegians it was theirs. China launched its Belt and Road Initiative and told recipient nations the infrastructure was theirs too. One of these is broadly considered an act of intergenerational stewardship. The other is contested as a debt instrument dressed in development language. Both are long-term plans. What separates them is who controls the asset, who bears the cost, and who gets to say no.

Our lives require the passage of time. The past gives us context, the future gives us direction, and the present is the fleeting edge where interpretation occurs. Our sense of identity and the meaning we attribute to life depend on our capacity to thread experiences across time into a story.

Memory and anticipation are the mind’s core tools for making sense of experience. Memory stitches together what has happened, allowing reflection, learning, and the slow construction of a personal identity. Anticipation projects imagined futures forward, generating hope, anxiety, and purpose in roughly equal measure. Both rely on the mind’s narrative capacity, which turns isolated events into stories with continuity and consequence. Time, in this sense, is not measured in seconds or years. It is felt as the unfolding arc of a life.

The self-help gurus might tell us to live in the now, but most of us find that very hard without the context of time to shape events into narratives. And the stories are pervasive.

Civilisations preserve their knowledge, values, and myths through stories grounded in histories, legends, epics, and the record of scientific progress. Whether mythic or empirical, those stories give meaning to shared existence by anchoring events in sequence and consequence. Time, then, does not merely pass unnoticed in the background. It is the structural dimension in which lives are lived, choices are made, and meaning accumulates.

More often, there is no time for any of this. We are immediate, consumed with practical matters in the here and now. What do I have in the fridge for dinner? Did I miss Aunt Maude’s birthday again? What time does the soccer start?

And the immediacy translates across into culture. In many modern democracies, political action is calibrated to short election cycles, economic gain is measured in quarterly profits, and environmental degradation is pushed just far enough into the future to be someone else’s problem.

Yet not all cultures treat time this way. Indigenous governance systems, religious traditions, and non-Western cultures often embed decision-making within intergenerational frameworks that value continuity, ecological reciprocity, and obligations to descendants not yet born.

Can an extended time horizon guarantee wiser or more just outcomes, or might it mask other biases from technocratic control and elite preservation to false certainty about futures we cannot predict?

This essay examines how different cultural and political systems conceive of the future, from the short-termism baked into electoral democracies to the long-range stewardship embedded in Indigenous philosophies. The structural, psychological, and philosophical dimensions of time make this not just about how to think long term, but why, for whom, and to what end. Long-termism might seem desirable, but it is not a moral upgrade. Colonial empires and authoritarian regimes have always been excellent long-term planners. The question is never how far ahead a system looks. It is whose future that system is actually protecting.

But before we go there, the first premise sets us up as immediate, short-term thinkers with little thought for the future.

Modern political and economic systems are structurally biased toward short-term gains, often at the expense of long-term consequences.

It is cliché to say that modern political and economic structures are skewed toward today. In democratic systems at least, election cycles are brief 3 to 5 year affairs, creating incentives for politicians to focus on policies that deliver immediate or visible results to voters, even if those policies defer costs or consequences for the future. And if the policy might take longer, there is always the rhetoric. What I tell you today, truth or fiction, is gone tomorrow so it has little value.

This short-termism is reinforced by media cycles and public opinion polling, which favour fast, headline-friendly outcomes over slower, more complex initiatives. As a result, long-term challenges such as climate change, biodiversity loss, infrastructure resilience, or educational reform often receive inadequate attention or are kicked down the road in favour of culture wars played out in sound bites.

Economic systems, especially shareholder capitalism, are structurally biased toward the near term. Corporate performance is typically judged quarter by quarter and executives are often paid the same way with bonuses tied to immediate financial results, not long-horizon value creation.

Financial markets reinforce the posture, with high-frequency trading and sentiment-driven pricing skewing the reward function toward cost-cutting and headline growth. Any patient investment in research, employee wellbeing, or sustainable supply chains get shunted to lower priority. The outcome is short-termism in strategy, underinvestment in public goods, and the routine externalisation of environmental and social costs.

These all too familiar and well-documented biases are not accidental. They emerge from institutional rules, cultural norms, and incentive structures that favour immediate utility over future stability. ESG investing, long-term policy frameworks, and intergenerational ethics provide the rhetoric to counter this, but in most cases they are marginalised or absorbed within a dominant paradigm of short-term performance.

Here are some illustrative examples from a long list of candidates.

In the United States, incentives skew toward the next election. House members run every two years, presidents every four, and that cadence quietly punishes long-term investment in public goods. Politicians reach for tax cuts or visible short-term spending because infrastructure renewal is expensive, slow, and politically thankless. Even when long-horizon bills like the 2021 Infrastructure Investment and Jobs Act do pass, they typically arrive late, after decades of deferred maintenance have already turned investment into catch-up.

Shareholder value maximisation dominates the corporate world, by law, so it seems unfair to single out an example. General Electric (GE) repeatedly made decisions during the 2000s and 2010s that boosted quarterly earnings but weakened long-term competitiveness. Pressured by investor expectations, the company prioritised financial engineering and stock buybacks over research, development, and sustainable innovation, contributing to its eventual decline in global relevance. A 2017 McKinsey Global Institute study found that companies with long-term strategies outperformed their short-term peers in revenue and profit growth, yet remain a minority due to institutional investor pressure for immediate returns.

Short-termism is not simply a cognitive failing, but a structural outcome of how modern capitalist systems are built. Electoral cycles reward immediacy over foresight, financial markets value rapid returns over enduring stability, and international frameworks often privilege national politics over global futures.

At least in the Global North, home to 3 of every 20 people on Earth, political and economic systems are structurally predisposed to favour short-term gains, often undermining the very conditions necessary for long-term prosperity and planetary health.

Not everyone lives in this frenetic universe.

Time horizons vary dramatically across cultures and governance models, revealing that short-termism is not inevitable but culturally and institutionally conditioned.

How far ahead a society looks is a well-established cultural dimension, particularly in cross-cultural research. In East Asia, notably China, Japan, and South Korea, the tendency is for long-term orientation, emphasising future rewards, perseverance, and intergenerational responsibility. That cultural lens shapes governance and economic planning, producing institutions more consistently geared toward long-term outcomes.

China’s multi-decade Belt and Road Initiative, alongside sustained investments in renewable energy and high-speed rail, reflects a state-led planning model that prioritises continuity, central coordination, and strategic foresight across decades. These efforts are nested inside Five-Year Plans that sit within broader visions spanning thirty years or more. The scale and coherence that results is rarely achievable in systems governed by short electoral cycles.

Japan has taken the Confucian concept of filial piety and put it into modern law, building institutions on the premise that the stability of the present depends on a deliberate hand-off between past and future generations. The three pillars of that hand-off are the pension system, universal healthcare, and long-term care insurance.

The pension operates on a pay-as-you-go basis, with the working generation directly funding the retired one, bound by an implicit promise that the next generation will return the favour. Universal healthcare, established in 1961, caps out-of-pocket costs and standardises fees nationwide, ensuring that a young family is not bankrupted by the medical needs of an elderly parent. The Long-Term Care Insurance scheme, introduced in 2000, shifted elder care from a private family duty to a state-supported structure, freeing working-age adults to remain in the workforce while their parents age with dignity.

Japan’s model focuses on welfare, but really it is about continuity.

Autocratic and technocratic regimes can push long-term plans with relative insulation from public opinion swings and electoral volatility. Liberal democracies sit on the other side of that trade, where political turnover, media-driven urgency, and lobbying pressure amplify oscillation and reward short-term fixes. The democratic story isn’t doomed. Strong independent public institutions, sovereign wealth funds, and long-term fiscal rules can lock in longer horizons, as Norway’s oil fund and Finland’s education policies suggest.

Long-horizon capacity and legitimacy are different things. A system can plan thirty years out precisely because it has muted the feedback that would normally interrupt bad plans. However, insulation from noise can be insulation from accountability. The same machinery that enables long-term coordination can also enable long-term error, long-term corruption, and long-term coercion. The harder question is what disciplines a horizon when it starts serving the planners more than the planned-for.

Perhaps this is why short-termism is such a common feature of modern human governance. A way to more easily appear legitimate while meeting cultural expectations, institutional configurations, and incentive systems. But the fact that some societies systematically plan for decades while others struggle to see beyond quarterly earnings or electoral cycles illustrates that short-termism is neither inevitable nor fixed. Instead, it might be altered by intentional design and cultural evolution.

What about indigenous systems that predate money? Let’s see what they do with time.

Indigenous and traditional governance systems offer living examples of intergenerational thinking, often prioritising continuity, ecological balance, and obligations to future descendants.

Indigenous governance systems typically emphasise cyclical time, ancestral responsibility, and the long-term wellbeing of both human and non-human communities. The Haudenosaunee (Iroquois) principle of considering the impact of decisions on the next seven generations is a widely cited example, institutionalising intergenerational ethics and placing ecological sustainability at the core of governance. Many Aboriginal cultures in Australia practise custodianship along similar lines, where responsibility for country is inherited across generations rather than extracted as a personal right. The land is held in trust. It is not a balance sheet.

These traditions prioritise continuity and ecological balance because survival in specific ecosystems depends on staying in rhythm with the land. Decision-making was not policy in the modern sense. It was embedded in spiritual, moral, and communal frameworks that made sustainability enforceable through stories, ceremonies, taboos, and the authority of elders. Traditional fire management in Indigenous Australian societies reflects a deep grasp of ecological rhythms and landscape regeneration, carried across generations and adapted over millennia. The through line is a governance logic built on adaptation, foresight, and communal accountability. And it was necessary for survival.

Indigenous systems aren’t monolithic, and they’re not romantic ideals, but they did persist for tens of thousands of years in the dry outback of Australia, and that alone makes them an enduring counterpoint to dominant short-term, extractive governance models. They offer usable frameworks for rethinking sustainability, especially when they’re integrated respectfully and collaboratively into broader governance discussions. The fact that they persisted long enough for us to talk about them suggests intergenerational thinking isn’t a utopian aspiration; it’s a living, practised reality in many traditional governance systems.

However, before we all run away to the bush singing Kum Ba Ya, we should examine a critical assumption that is always missed in the binary between short-termism and intergenerational governance models, that long-term thinking is virtuous.

Long-term thinking is not inherently virtuous; it must be critically examined to ensure it serves justice, inclusivity, and genuine sustainability rather than elite control or speculative abstraction.

If short-termism is a poor option for equitable and sensible resource use, long-term thinking is not automatically ethical or equitable. Like any strategic orientation, its value depends on whose interests it serves, how it is framed, and who participates in shaping it.

Long-term visions can be captured. In practice, the future is an incredibly useful alibi for elites. It can justify technocratic control, speculative megaprojects, or justice perpetually deferred. Modern wealthy elites offer a plethora of examples. Authoritarian regimes and corporate entities can wrap centralisation, displacement of vulnerable communities, or outright greenwashing in the language of future-proofing. And even when the intent is genuine, long-term planning without democratic accountability or cultural inclusivity can harden into stability for some, precarity and exclusion for others.

Colonial empires were masters of the long-term alibi. Expansion was sold as a noble trajectory that conveniently hid extraction and domination behind a civilising mission of remarkable hubris. Today, the same move shows up in cleaner clothes. Techno-futurist visions of geoengineering, space colonisation, transhumanism sound great but are actually speculative, elite-driven agendas that float above the immediate needs of living people, especially those already marginalised by existing systems. The future becomes a staging ground for status, capital, and control.

And the risk doesn’t stop at the obviously grandiose. Even progressive long-term initiatives can reproduce the same inequities if frontline communities are excluded from decision-making, or if economic growth is treated as the default priority over ecological justice.

So long-term thinking has to face an ethical and political test. It should be guided by procedural fairness, intergenerational equity, cultural diversity, and ecological stewardship, not by mere longevity or control. Legitimate longtermism is not just what the future will look like; it asks who gets to imagine it, and who is actually empowered to shape it.

Institutions can be reimagined to better represent future generations through legal innovations, cultural practices, and participatory models that embed responsibility across time.

Existing institutions routinely sideline the interests of future generations, but that gap reflects design choices rather than fixed limits. Wales and New Zealand have each created formal guardians for future generations, demonstrating that future-oriented thinking can be institutionalised in legislative processes, budget planning, and environmental governance. Ecuador and Bolivia have gone further, embedding rights for nature and future beings in constitutional frameworks. That legal-cultural shift extends moral and political consideration beyond the present. So, the architecture exists. The question is whether others will build it.

Cultural practices do the memory work that institutions pretend is automatic. Storytelling, ritual, and collective commemoration stretch a community’s sense of time and make continuity feel normal rather than exceptional. Indigenous and local governance models often encode future-facing responsibility directly into land management, resource use, and everyday choice, offering sustainability templates that are culturally grounded rather than bureaucratically imposed. Participatory mechanisms, citizens’ assemblies, youth parliaments, and intergenerational councils, can extend that logic into mainstream institutions by widening the circle of whose voices count and whose futures are weighed.

In truth, institutions are malleable human creations that can be redesigned to better incorporate the interests of future generations. The key challenge lies not in whether institutions can theoretically be reimagined, but in overcoming short-term biases and implementing these innovations effectively.

What needs to be done?

Expanding our temporal perspective requires both cultural transformation and institutional redesign, grounded in humility about what the future demands and wisdom about how we choose to act.

A longer-term perspective is a cultural shift in how a society understands time, responsibility, and legacy. The stories we tell about the future and the present shape whether we treat tomorrow as a continuation of current trends, a site of radical transformation, or a moral horizon that pulls action forward.

Presently, in many contemporary societies, the default culture is the immediacy of consumerism, digital distraction, and economic urgency. The default for tomorrow is more of what we have today. Shifting that means revaluing patience, foresight, and care for the unborn. It means drawing on traditions, philosophies, and spiritual frameworks that teach respect for continuity and uncertainty. And it requires humility as an honest recognition of our limits in predicting or controlling the future, and our responsibility to act without full certainty.

Culture alone won’t carry it. Institutional redesign has to do its part, embedding longer-term logics into governance, finance, education, and law. Horizon scanning in policy development, intergenerational representation in legislatures, long-term budgeting, and legal rights for future persons or the environment are all on the table.

But these only matter if they reflect a genuine shift in what institutions value and whose interests they serve. Institutional reform without cultural backing becomes performance and there are way too many example to list here.

In the end, expanding our temporal perspective is as much ethics as it is systems.

It’s the discernment to know when to intervene and when to conserve, when to imagine boldly and when to proceed with caution. It asks for a balance of hope and responsibility, and a refusal of both apocalyptic fatalism and utopian hubris.

There’s a paradox baked into the politics of time. The systems that best deliver democratic will are often the least equipped to protect future well-being. Meanwhile, the systems that can plan across decades often do it by concentrating power into regimes or cultural mores in ways that erode democratic accountability.

It’s not a problem solved with a generic call to think longer-term. It requires being specific about how time intersects with power, justice, and legitimacy.

Short-termism isn’t natural or inevitable. It’s engineered by institutions and reinforced by culture. Electoral cycles, quarterly reporting, and media attention spans tilt decision-making toward immediate returns in the systems that are familiar to Westerners. But the existence of other operating modes matters here. Chinese state planning and Indigenous custodianship show that extended time horizons can be sustained in practice. Proof that the political timeframe can be malleable and reflect design choices, even if the more authoritarian options come with baggage.

The harder insight is that long-term is not automatically better. Long-term thinking can serve technocratic control, elite preservation, or speculative abstraction just as easily as it can serve justice and sustainability. Colonial empires wrapped exploitation in civilising missions. Authoritarian regimes use future-oriented rhetoric to centralise power. Contemporary geoengineering proposals can privilege speculative solutions over the immediate needs of vulnerable populations. An extended time frame is no moral guarantee. Who controls it, and by what process, is the core question.

Indigenous governance systems show decision-making embedded in reciprocity, ecological accountability, and community participation relationships. These systems persisted for millennia not by abstract planning, but through adaptive management rooted in specific places and cultures. It was as though they understood the value of time. But they were about survival with limited resources, few people and a fickle environment. A modern city is not going to persist for long if all its citizens learn about is cultural burning of vegetation.

Perhaps the challenge isn’t to swap short-term thinking for long-term planning. Maybe it’s to build governance that can hold multiple temporal perspectives at once. That means institutional innovations that extend democratic participation across time while staying accountable to current populations. It also means cultural transformation that cultivates patience, humility, and care for the unborn without collapsing into fatalistic passivity or technocratic hubris.

Time has always been the canvas for human stories. But in a world of 8 billion people facing unprecedented challenges, the task isn’t to choose between present and future. It’s to create governance systems worthy of both, democratic enough to keep legitimacy, adaptive enough to respond to change, and wise enough to recognise that the future’s demands may not match our current projections.

The arrow of time makes the stakes non-negotiable. Entropy doesn’t run backward; consequences accumulate, and history doesn’t offer clean reversals. That one-way drift is precisely why governance can’t treat the future as a rhetorical prop or an optional add-on. What we build, burn, and break becomes the terrain the next generation inherits.

Entropy ensures that consequences of human activity accumulate, and history offers no clean reversals. That one-way drift is precisely why governance cannot treat the future as a rhetorical prop. What we build, burn, and break becomes the terrain the next generation inherits. The arrow of time is not a metaphor. It is the one constraint that applies equally to every system, democratic or authoritarian, short-sighted or long. The question was never whether to plan for the future. It was always who gets to survive it.

Notes & Sources (for the curious)

Temporal perception and the mind

• The narrative construction of time — Our capacity to thread experiences into a story is a core cognitive tool for identity. Memory and anticipation convert isolated events into continuity. Cognitive science and narrative psychology have documented this psychological framework thoroughly.

Short-termism in modern systems

• Democratic and economic bias — Electoral cycles of 3 to 5 years build structural incentives for immediate results over long-horizon costs. Shareholder capitalism reinforces this through quarterly reporting and high-frequency trading.

• Corporate performance and longevity — McKinsey Global Institute research found that companies running long-term strategies outperform peers in revenue and profit growth. Most firms still prioritise immediate returns under investor pressure.

• Infrastructure as catch-up — Deferred maintenance in the United States has turned most long-horizon investments into reactive repairs. The 2021 Infrastructure Investment and Jobs Act arrived after decades of underinvestment.

Cultural and institutional variations

• Long-term orientation in East Asia — Cross-cultural research identifies East Asian societies as having a higher tendency toward long-term orientation. China’s state-led planning models, including the Belt and Road Initiative, reflect strategic foresight across decades.

• Intergenerational social contracts — Japan’s welfare systems, including the 1961 universal healthcare and 2000 Long-Term Care Insurance, are built on Confucian concepts of filial piety. These institutions function as a deliberate hand-off between generations.

• Sovereign wealth as stewardship — Norway’s Government Pension Fund Global, established in 1990, locks in resource wealth for future citizens. It offers a democratic counter-example to short-termism.

Indigenous and legal innovations

• The Seven Generations principle — The Haudenosaunee (Iroquois) philosophy requires considering the impact of decisions on the next seven generations. It remains a primary example of institutionalised intergenerational ethics.

• Guardians for the future — Wales, Hungary, and New Zealand have each established formal offices to represent future generations in legislative processes. These roles show that future-oriented thinking can be bureaucratically embedded.

• Rights of Nature — Ecuador and Bolivia have granted constitutional rights to nature and future beings. This legal shift extends moral consideration beyond the human present.

Primary Sources

Altieri, M. A., & Toledo, V. M. (2011). The agroecological revolution in Latin America: Rescuing nature, ensuring food sovereignty and empowering peasants. Agroecology and Sustainable Food Systems, 35(4), 587-612.

Barton, D., & Wiseman, M. (2014). Focusing capital on the long term. Harvard Business Review. (Contextual support for McKinsey Global Institute findings)

Hofstede, G. (2001). Culture’s consequences: Comparing values, behaviors, institutions, and organizations across nations. Sage Publications. (Foundational research for cultural time orientation)

Sen, A. (1981). Poverty and famines: An essay on entitlement and deprivation. Oxford University Press.

World Commission on Environment and Development. (1987). Our common future. Oxford University Press. (The foundational text for intergenerational equity and sustainable development)

Haber-Bosch, the Green Revolution, and the digital economy each raised the number of people a finite planet can support, and that record is not nothing. What is less often accounted for is that each fix deepened total system dependence on energy and materials.

This Insight works through why the two effects cannot be separated.

What using the time well requires

Escaping the Malthusian Trap | A Mindful Sceptic Guide takes the question this Insight opens and works through it honestly. If technology buys delay rather than escape, what should be done with the delay.

The answer is more demanding than either techno-optimists or their critics tend to acknowledge.

Think of Africa in pre-colonial times, say around 1800, when in Europe, James Watt’s steam engines were transforming the textile industry and mining, people were flocking from rural farms to the smoke stacks of growing cities like Manchester and Birmingham, and the French Revolution had cooled into the Napoleonic era.

Africa in 1800 was anything but empty. Usman dan Fodio was consolidating the Sokoto Caliphate from fragmented city-states in West Africa, the Asante Empire had reached a pinnacle of wealth and military organisation in the forest regions of modern-day Ghana, and further south the pressures of population growth and tightening resources were producing the military innovations that would ignite the Mfecane and redraw the region’s demographics entirely.

On the eastern coast, the Omani Sultanate ran a commercial empire out of Zanzibar built on ivory, cloves, and an intensifying slave trade, while on the west coast the Transatlantic Slave Trade was entering its final legal decade under British law. The European Scramble had not yet begun. The continent was already in motion, and there were plenty of people.

Whilst there were no continent-wide censuses, most historical demographers agree on a range of 90 million to 100 million people in Africa in 1800, roughly 10% of the total global population which hit 1 billion around 1804.

At this time the African continent was also home to between 25 million and 40 million elephants, making the ratio of humans to elephants at the lower end of elephant numbers roughly 4 to 1.

Estimating elephant populations from the 18th century demands a forensic approach to ecology. Systematic aerial surveys did not exist until the 1960s, so scientists rely primarily on back-projection modelling, combining historical ivory export data with estimates of available habitat and carrying capacity. Analysing customs records from major trade hubs like Zanzibar, London, and Antwerp allows researchers to calculate the extraction rate. From the tonnage of ivory recorded, they determine how many elephants were killed, factor in the species’ natural reproductive rate, and work backward to the minimum standing population required to sustain those losses without the species collapsing entirely.

For the year 1800, before the height of the industrial ivory trade and the widespread introduction of modern firearms to the continent, populations were at their peak. Modelling based on the total available elephant range, covering nearly the entire continent south of the Sahara, produces an estimate of 25 to 40 million. Elephants were not yet confined to protected pockets. They functioned as ecosystem engineers across vast savannas and dense forests, and the sheer scale of the population meant that the early ivory trade had a relatively negligible impact on total numbers.

This abundance was possible because much of the continent remained a pristine wilderness. Human settlements were concentrated, leaving vast, connected ecosystems where herds could roam, shape the landscape. The herds moved along ancient migratory paths that often doubled as human trade routes.

But as the century progressed, ivory transitioned from a rare luxury to a material used for mass-produced items like piano keys, billiard balls, and combs. This skyrocketing global demand, paired with the introduction of more accurate firearms, sparked an era of intensive hunting.

By mid-century, the elephant population had already begun to slide toward 18 million before the surge in exploration led by figures like David Livingstone, Richard Burton and John Hanning Speke who, although nominally on epic journeys of scientific discovery, effectively mapped the landscape to professional hunters. This coincided with the arrival of long-range, breech-loading rifles that made hunting exponentially more efficient and deadly. By the 1860s, the moving frontier of ivory extraction was clearing out entire regions of elephants to feed the insatiable warehouses of ports like Zanzibar and Khartoum.

By the time of the “Scramble for Africa” in 1884, the hunting had reached its peak, often inextricably linked to the slave trade. Enslaved people were frequently used as human pack animals to carry heavy tusks through thousands of miles of jungle to the coast, where both the ivory and the carriers were sold.

By 1900, the African elephant population had been reduced to between 5 and 10 million. In just one hundred years, over half of the continent’s elephants had been lost, leaving behind a scarred landscape and a surviving population that had learned to fear human contact, forever altering their migratory behaviours.

Despite the ravages of slavery, colonialism and disease, the human population had grown slightly, the elephant population had been cut by more than half so there were now 20 people for every elephant.

In what was then Southern Rhodesia (now Zimbabwe), the situation was even more extreme. Because the region was a primary target for professional big game hunters and early white settlers, the elephant population had been nearly wiped out, down to a few thousand individuals. Here, the ratio was 1 elephant for every 250 people.

From 1900 to 1945, African elephants received a rare reprieve. The 19th-century population reduction prompted colonial governments to respond with early conservation rules, including the 1900 London Convention. Hunting shifted from a free-for-all to a regulated system of permits, reserves, and enforcement. The motive was often to protect European hunting privileges rather than wildlife for its own sake, but these measures slowed the slaughter and allowed battered herds to stabilise.

Between 1920 and 1940, elephant numbers began recovering in specific regions. The establishment of new parks, including Kruger and Albert (now Virunga), provided sanctuaries. Outbreaks of rinderpest and sleeping sickness inadvertently assisted the recovery, pushing human populations and livestock out of vast areas and leaving behind accidental wilderness where elephants could move freely. The Great Depression then crushed the global luxury ivory market, and commercial hunting pressure dropped sharply as prices bottomed out.

By 1945, the African elephant population was estimated at between 3 and 5 million. With a human population of roughly 180 million at the time, the ratio sat at approximately one elephant for every 40 to 60 people. Wartime travel restrictions had also stalled international trophy hunting, providing a brief window of relative peace. The stability was fragile. The end of the war brought surplus military firearms, a booming global economy, and an ivory market poised to restart the cycle.

In the post-war era of the 1950s, elephants appeared to surge, though this was largely a compression effect. Elephants were being pushed out of developing land and into the newly created national parks of East and Southern Africa, and while local densities reached a 20th-century peak inside these refuges, the total continental population likely remained within the 3 to 5 million. As independence movements swept the continent through the 1960s, many new governments kept conservation zones intact, recognising their value for tourism and national revenue.

Elephant numbers remained relatively stable through the mid-century, but the human population was expanding rapidly, reaching 285 million by 1960. That demographic shift began tilting the competition for land and resources. It set the stage for the range contractions and poaching crises that would follow in the 1970s and 1980s.

The 1970s broke the temporary equilibrium.

A global ivory rush took hold. Demand in Asia and the West sent prices soaring, and ivory became white gold, funding civil wars and militias across the continent. The AK-47 changed the economics of killing. One gun could take out a whole herd. What had been scattered poaching turned into industrial slaughter.

By 1987, the elephant population had collapsed from millions to around 750,000. The speed of the decline was unprecedented for a large mammal in modern history. The ecological landscape of Africa had been fundamentally transformed, with the ratio of elephants to people reaching one elephant for every 787 humans.

It is hard to imagine the change to 750,000 animals from perhaps 25 million, not just in the numbers but in what the reduction meant for the vegetation. Elephants are truck sized throughput machines moving through habitats at will, until they weren’t. This was the condition of the landscape I stepped into in 1988, though I did not yet know how to read it.

I met my first wild elephant when I was 27 years old.

It was early 1988 at Ruckomechi Tsetse Research Station in the Zambezi valley, Zimbabwe. The station had long served as a base for figuring out how to stop African trypanosomiasis—sleeping sickness—caused by Trypanosoma parasites transmitted through tsetse fly bites. A close variant hits livestock too (often called nagana), dragging down animal health and productivity and putting real pressure on agriculture across parts of sub-Saharan Africa. The newest eradication bet at the time was a blue target trap, dosed with pheromones and impregnated with insecticide, drawing flies in and killing them.

I had just embarked on an idyllic postdoctoral fellowship, and was in Ruckomechi with my late friend and colleague Dr Steven Telford running a field trip for a group of behavioural ecology students from the University of Zimbabwe.

It is easy to teach students about ecology in such an astonishing natural laboratory. And I was still awed by the bush, a total greenhorn, having been in Africa for just 6 months.

I had seen elephants on a safari to Hwange National Park and Victoria Falls a couple of months earlier, but here it was different.

Walking across the camp from my rondavel to the mess hall, I saw a young female elephant browsing a Bauhinia bush less than 100m away. I stopped and just watched for several minutes. She knew I was there but seemed happy to keep browsing. I edged closer. I was on my own and had no protection, but I kept stepping slowly towards her.

At about 40m my courage was used up, and I just stood still. I listened to her feed, taking in the sight, smell and feel. Awe is a good word, but barely covered what I was feeling.

My first encounter on foot, a privilege I will never forget. I was young, probably about the same age as the elephant. Yet, I was buzzing like an infant in kindergarten.

The elephant was very much at home in her skin and her place. I was a guest, she owned the habitat. As young as I was, I could feel her presence.

I later learned that there was a herd that regularly wandered through the camp. Humans on foot were part of what this herd knew, so they were relaxed. Not all elephants are so accommodating, but in the same way that herds get used to safari vehicles, so these elephants were with people wearing khaki shirts.

Something about that encounter in Ruckomechi has stayed with me. I think it was how much a part of nature I was in that moment. Not separate from it. Although this explanation has only made sense to me recently.

Even now, I can recognise the smell of an elephant. Anyone who has been on an Africa wildlife safari can.

But in 1988, the African elephant was in the throes of a continent-wide crisis, with the total population plummeting past the estimated 750,000, roughly half of what it had been just eight years prior. The massive surge in illegal poaching to satisfy a global ivory market, claiming tens of thousands of animals annually across East and Central Africa.

Zimbabwe stood as a stark exception to this trend. Through a strict, state-managed conservation model that treated elephants as a renewable resource, the country maintained a stable and growing population of roughly 52,000 at a time when its neighbours were seeing their herds decimated.

During this poaching crisis, the ratio in the rest of Africa was still 1 elephant for every 787 humans. However, in Zimbabwe, the ratio remained significantly tighter at 1 elephant for every 178 people.

In 1989, I moved to neighbouring Botswana to a lectureship at the newly minted University of Botswana. I saw many elephants in my seven years in that wonderful country. I even had a lower jaw bone in the corner of my office after stumbling across it on a field trip to Tuli Block in the far east of the country.

Botswana had roughly 90,000 elephants in the early 1990s, a significant proportion of the total on the continent. Or was it 100,000? The exact number was unknown, but it became hugely contentious because whatever the number, it was increasing.

This was a conservation challenge almost no one else had. The elephant population was booming while the rest of the continent was declining. Across Africa, attention was fixed on the 1989 international ivory ban and stopping poachers. But in Botswana, there was a problem of plenty and a risk of too many.

At the time, I argued that elephant densities were getting high enough to drive real habitat degradation, especially in riparian woodlands. And I pushed for a shift away from purely emotional or protectionist instincts toward a more pragmatic, science-based management strategy.

Dangerfield J.M. (1994) Renewed dialogue on elephant management in Botswana. Kalahari Conservation Society Newsletter 44: 1-4

The following year, I pushed back on the obsession with total elephant counts. I argued that raw census numbers are a dangerously shallow measure of success because a single headline figure means little without details of ecological impact and local distribution.

Dangerfield J.M. (1995) What is in a number? Kalahari Conservation Society Newsletter 47: 9

I pointed out that high-density hotspots can turn into localised ecological deserts, even when national totals look healthy. And I challenged the idea of a fixed carrying capacity, arguing instead that elephant numbers have to be balanced against the whole system—vegetation, soil health, everything.

My critique of the emotional, hands-off approach was that in places like Botswana, high numbers aren’t just a win. They’re a trigger for active management before the landscape tips into crisis.

A version of this warning played out.

In Botswana, the refusal to actively manage elephant numbers, shaped by international pressure and a long-standing hunting ban, resulted in ongoing elephant induced habitat conversion. Along the Chobe and Okavango systems, large stretches of riparian woodland shifted into elephant-impacted scrub, with mature trees pushed over faster than they could regenerate. Biodiversity took the hit. Elephant numbers stayed high, while specialist species tied to dense canopy and specific woodland structure, including the Chobe bushbuck and some giraffe populations, declined.

By 2025, Botswana and Zimbabwe had moved away from late-20th-century passive protectionism toward pragmatic management, including the return of trophy hunting and community-led culling. In a fragmented landscape where elephants cannot simply migrate away from degraded areas, human intervention becomes part of protecting the broader ecosystem. The conversation has shifted from saving the elephant to managing a landscape where 130,000 ecosystem engineers (a trendy ecological term at the time), must coexist with a human population that has grown nearly six-fold since 1960.

While all this was going on, human numbers across the continent surged, further steepening the ratio of humans to elephants.

It is tempting, and wrong, to read the human side of this ratio as an African story. However, the population expanding rapidly through the 1960s and beyond was following the same logic as every other human population that gained access to fossil energy, modern medicine, and agricultural intensification. James Watt’s engines, which opened this account, did not stay in Birmingham. The thermodynamic windfall that has briefly and dramatically inflated the human carrying capacity of the planet was not a gift selectively offered. The appetite for development is universal once the door opens.

Africa’s demographic surge is not the cause of the elephant’s predicament. It is the same engine, arriving later, running on the same fuel. The ratio is a civilisational fingerprint, not a racial one.

So now it is 2026 and there are over 8 billion humans on Earth.

Africa’s elephant population is estimated to be approximately 415,000 to 550,000 individuals, and we are still not sure exactly how many. We do know that Botswana has a crowded elephant population, predominantly in and around the Okavango Delta, that comprises a quarter of the total. We also know that continent wide, there are fewer wild elephants than in 1988.

But what about the ratio?

In 2026, the gap between the human and elephant populations in Africa has reached a staggering historical extreme. We are now living in a reality that would have been unimaginable to the people of 1800 or even 1960.

Today, the roughly 415,000 elephants that remain are not wild in any complete sense of the word. They exist within boundaries we drew, under management plans we wrote, their survival contingent on decisions made in capitals and conference rooms far from the Chobe floodplain.

We call this conservation.

It is, more accurately, the final act of administration over something that was once simply alive on its own terms.

I think about the young female at Ruckomechi, browsing her Bauhinia bush, entirely at home in her skin and her place. She was living not surviving.

What the ratio records — humans up 1,460%, elephants down 98.4% — is not a conservation failure. It is a precise measurement of what one species does when a thermodynamic windfall removes the usual constraints. The elephants did not lose. The windfall happened and the ratio is what that looks like in the flesh of another animal.

We humans are the governors of elephant survival now.

Only we didn’t earn that responsibility, it just happened. The question is whether we are honest enough about how we came to hold it, to own the reality, and then make a decision on what to do next. Whether we abdicate or decide to determine the outcome.

The elephants, for their part, had very little say in their story.

Every week a credentialed expert testifies, publishes, or briefs, and is systematically disbelieved. The instinct is to accept that the talking head is always right and diagnose the audience.

This insight argues something the expert class finds less comfortable. The credential itself, the signal of institutional membership, is doing active damage in the contexts where it is most confidently deployed.

I have been to three funerals in the last decade. Each time, the community knew exactly what to do. Someone cooked. Someone spoke. Someone cried in the right way at the right moment, and everyone understood. The grief had a shape. What I have not seen, in all my years working in conservation and ecology, is anything like that for a disappearing wetland, a bleached reef, or a river running dry for the first time in recorded history. We have the data. We have the reports. We have, occasionally, the outrage. What we do not have is the ritual. I am starting to think that absence of grief mechanisms for ecological loss is costing us more than we know.

“Solastalgia is the homesickness you have when you are still at home. It is the pain experienced when the place you live and love is transformed beyond recognition.”

— Glenn Albrecht, “Solastalgia: A New Concept in Health and Identity” (2005)

Fairly early in my time living in Botswana in the 1990s, I visited the Mababe Depression, a remote yet significant ecological and geological feature between the Okavango Delta and Chobe National Park. Mababe catches enough water for seasonal wetlands and surrounding grasslands that support large wildlife populations, including some of Botswana’s largest buffalo herds and significant numbers of elephants, lions, and other iconic species. The area is also a critical habitat for numerous bird species, making it a valuable site for conservation and ecotourism.

Alright, so it’s a wonderful African wilderness area that still looks much like it has for millennia. I was lucky to go there. I was visiting a wild dog research project, and we spent an evening following a pack, radio collar on the lead female, and counted over 20 mammal species, including an aardvark that darted between two termite mounds.

All that was pretty special Africa, but what happened the next morning as I took a gentle stroll a few meters away from my tent and onto the terrace of the Savuti channel was truly special.

No lions, elephants, or cheetahs, just a gentle serenade from the morning doves and a ground hornbill in the distance, the sun warming my face and a profound sense of peace. Stillness of mind, like nothing I had ever known before. I was home, true home, at one with whoever, whatever made me. In that place where I could not survive for a day was the peace that, the religious say, is bestowed by the Almighty. I was touched and, for a moment, serene.

No thoughts, no doubts, no pain, pure presence.

I blinked and it was gone.

I had connected, however briefly, with where I came from, where my ancestral DNA resided all those generations ago. It might be true, and if not, it is a comforting story.

Turns out, you can feel homesick without leaving home.

Coined by Australian environmental philosopher Glenn Albrecht in the early 2000s, solastalgia merges the Latin solacium (comfort) and the Greek root -algia (pain), capturing the paradox of feeling homesick while still at home.

Solastalgia is what happens when the place that made you feel grounded starts changing or breaking while you’re still living in it, and the loss lands as powerlessness and dislocation rather than a wistful longing for elsewhere. It puts a name to an increasingly common psychological response in communities watching drought, deforestation, rising seas, or extractive industries remake their home in real time, with farmers in New South Wales enduring prolonged drought and open-cut mining featuring in Albrecht’s early work. The point isn’t semantic; it shifts environmental damage from an abstract ecological or economic problem into a lived emotional and existential one, and that matters because naming it creates space to recognise mental health impacts that might otherwise be filed away as depression or anxiety while the environmental root cause goes unspoken.

The term has gained traction globally and is now used in climate psychology, environmental justice, and eco-arts to articulate the lived experience of environmental loss. It resonates particularly with Indigenous communities, coastal dwellers, and rural populations confronting environmental transformation.

And it begins with the idea that everyone, however disconnected they may be, are suffering from loss.

Ecological degradation triggers genuine grief responses that often go unrecognised

Loss of a loved one, a friend, or even a well-known public figure is tangible. The person was real, physically present in our lives, and coming to terms with their absence is difficult. Family pets that die were physical, too, loved and lost. Even the word, we can’t find them anymore.

Environmental grief is a feeling of helplessness and vulnerability in the face of planetary-scale disruption. The loss here is often abstract or slow-moving, often with no obvious visible signs in everyday life. This mismatch can lead to the internalisation or dismissal of such feelings, even by those experiencing them, thus compounding the emotional burden.

On some mornings, it lands quietly. You open the news and there it is again, another reef bleaching event, another fire season starting early, another species you have never seen in the wild being filed away as gone. Nothing in your own house has changed, but the background world feels thinner, depleted somehow, and you feel it.

That response has a name. Solastalgia is grief triggered by environmental damage and a collapsing sense of home. It is not melodrama and it is not a political mood. It sits in the same family as bereavement because it follows the same logic, attachment, rupture, and the slow recalibration of what you thought would endure.

Conventional grief for a person is legible and people know what to say. There are rituals, leave policies, casseroles, condolences, an accepted storyline for how sorrow is meant to move through those who knew who passed and even a community. Ecological grief often arrives without any of that scaffolding. It can be difficult to name, harder to share, and easy for institutions to treat as either private anxiety or public ideology.

So people carry it alone because the culture has not built a recognised place to put it.

Psychologists have linked ecological grief to individual wellbeing and to motivations for pro-environmental behaviour. Theoretical frameworks situate it inside broader models of grief and loss, rather than treating it as a novel anomaly. Systematic research is still evolving, but multiple lines of evidence are pointing to the same conclusion. Ecological grief is real, and it is showing up more often as environmental change accelerates.

And yet, for the most part, modern society ignores environmental grief. Perhaps to avoid guilt, we don’t have formal ways to process it.

Modern societies lack cultural frameworks for processing environmental grief

When a human dies, a socially sanctioned practice begins. The death is recorded, the body taken away, and carefully prepared for appropriate rituals. A funeral takes place, and the body is laid to rest. There are memorial services, maybe a plaque or a headstone are crafted, and a mourning period is observed. It’s a process of acknowledgement that takes time and engagement and appears in various forms in all cultures.

In contrast, grief over environmental loss is typically silent and unsupported, partly because such losses are collective, diffuse, and ongoing, rather than discrete events. The absence of cultural acknowledgement makes it harder for people to validate their emotional responses and may result in internalised shame, numbness, or psychological distress.

Several factors contribute to this cultural void.

To begin with, it is new. When agriculture began some 12,000 years ago, the best estimate was that around 10 million people were spread thinly across the planet. These foragers had a light touch, perhaps exterminating a few species of megafauna, but they did little to the broad brush of the landscape. Fire and selective planting altered the vegetation, but they had little reason to grieve for their home. Indeed, they were most likely agreeing with its rhythms.

There are 2,050 Barcelona’s worth of people today, vs 10 million at the start of agriculture. More than enough to alter every corner beyond recognition. We have plenty of visible and reported environmental change to grieve.

Then, there is the psychology.

Values in modern capitalist societies tend to downplay or deny emotional connections to the natural world. The anthropocentric framing of nature is as a resource to be used rather than a relational entity to be mourned. We used to forage in it now we can plough, mine and pave it for our needs and wants. Emotional responses to ecological harm are typically dismissed as irrational, sentimental, or unproductive.

When a society has no rituals for ecological loss or has lost them, the cost shows up in emotional stagnation and a disconnection from nature. A kind of numb drift. Without ritual, ecological grief becomes a private, invisible burden. There is no public space to mourn a dying river or a lost habitat, so people learn to read their own sadness as irrational or excessive. They stop talking about it. That silence produces stagnation, and stagnation produces numbing. The psyche protects itself by dialling down feeling across the board, and the cost is not just the muting of grief. It is the erosion of awe, connection, and the capacity for sustained attention to the living world.

Authors and practitioners like Joanna Macy, Martín Prechtel, and Francis Weller make the claim, albeit from different angles, that grief over the environment is both personal and a communal responsibility. The rise of climate vigils, Earth-based rituals, and ecopsychology is trying to fill this gap and create a space where collective mourning can happen without apology. Still, these frameworks remain peripheral. They have not yet been widely integrated into public life, education, or mental health systems.

Rituals interrupt that drift by doing three specific things. They validate the loss, signalling that what the mourner feels is real and proportionate. They externalise it, moving grief from the interior of the mind into a physical act shared with others. And they restore the feedback loop between people and place, reminding participants that they are part of the ecosystem rather than spectators of it. In many Indigenous cultures, rituals for the land kept that awareness sharp and continuous. When the rituals disappear, the land is quietly reclassified from a relative to a resource. Once that shift is complete, its destruction registers as a line item rather than a loss.

Indigenous worldviews often understand humans as embedded within, rather than separate from, the natural world. This perspective shapes how ecological loss is experienced and expressed. When species disappear, landscapes change, or sacred sites are desecrated, these losses are not seen as external environmental events but as familial or spiritual traumas. Grief, in this context, is often collective, ceremonial, and continuous, reflecting deep relational ties to land, water, and more-than-human kin. Ceremonies of mourning, offerings, songs, storytelling, and seasonal rites are examples of how many Indigenous communities acknowledge ecological change and maintain emotional continuity with the land.

For example, many First Nations peoples in Australia mourn the destruction of Country not only as environmental damage but as a rupture in ancestral relationships. The concept of Caring for Country includes spiritual, legal, and emotional obligations to maintain the health of land and water. When Country is harmed through mining, logging, or fire mismanagement, for example, the grief that follows is real and culturally supported. Similarly, in the Arctic, Inuit communities experiencing melting permafrost and declining ice have described deep sorrow and identity loss, which researchers like Ashlee Cunsolo have documented as ecological grief. Among these communities, such grief is not pathologised but interwoven with resilience, storytelling, and intergenerational knowledge.

Modern societies, especially those shaped by settler-colonial, industrial, and secular paradigms, often cut the emotional and spiritual cord to the land. That rupture does three things at once. It isolates people from the ecosystems they live inside. It removes the cultural tools that would help them metabolise the trauma of environmental collapse. And it also reduces their guilt from actions that drastically affect the way nature works.

The most functional aspect of the rupture, for an industrial society, is the ethical distance it creates. When people are emotionally and spiritually connected to a forest, destroying it feels like self-harm. Sever that connection, and the same act becomes an economic necessity or a statistical externality. The numbing is not incidental because industrial systems depend on it to keep operating without the friction of collective shame.

The bitter irony is that the tools used to master nature, secularism, industrialism, rational resource accounting, are precisely what stripped away the emotional equipment needed to reckon with the consequences of that mastery. The capacity to exploit and the capacity to grieve were dismantled together. And in the absence of ritual, community acknowledgement, or linguistic framing for environmental loss, a privatised, often pathologised grief experience happens. Perhaps this explains why we want to save the whale, the koala or local iconic species. It makes us feel better; briefly.

Suppressed ecological grief manifests as anxiety, depression, and political polarisation

A growing body of research in psychology and environmental humanities suggests that unacknowledged ecological grief manifests as anxiety, depression, and chronic feelings of helplessness. Francis Weller describes this as unmetabolised sorrow, a weight that accumulates in individuals and communities when loss goes unprocessed.

Grief is not resolved, which brings serious consequences. Climate-aware therapists report that patients frequently present with vague, persistent anxiety and depression tied to an unspoken awareness of environmental loss and planetary instability. Those conditions are compounded by the absence of public language or ritual to validate such feelings, leaving sufferers uncertain about the origin of their own distress. There is no cultural container for what they are carrying.

An emotion not seen or acknowledged by the surrounding culture is rerouted into outlets that are easier to name, justify, or perform. Some people slide into denialism, apathy, or hyper-consumerism as forms of emotional displacement. Others carry the same unresolved grief into polarised identity politics, eco-anxiety-fuelled outrage, or rigid ideological posturing. The grief finds itself a shape, only it is rarely a useful one. Knowing this, climate polarisation can be read, at least in part, as collective emotional dysregulation. A clash between those who suppress grief through denial and those who express it through alarm and advocacy, often without mutual recognition.

Unresolved grief is also fertile ground for populist stories that feed on existential fear. When people feel loss but have no shared way to name it, the energy looks for a channel. Some authoritarian or nationalist movements have learned to offer one. They co-opt ecological language, for example, “protecting our land” and convert grief into exclusionary or regressive agendas.

Meanwhile, the ecological left has its own failure mode. When grief is not communally held or metabolised into constructive engagement, it can curdle into burnout or despair.

Without cultural and psychological mechanisms to name, share, and process ecological grief, societies may experience increased fragmentation, mistrust, and emotional volatility that erodes the social cohesion needed to face ecological crises together. Rituals are not cultural relics or optional comfort. They are social infrastructure, and without them, the cohesion needed to navigate the Anthropocene dissolves into the numb drift and fragmentation that makes collective action nearly impossible.

So what do other cultures do about this? Recall that only around a billion or so of the 8 billion people on the planet hail from liberal democracies that know little more than exploitation of natural resources.

Presumably, there are other ways to process collective loss.

Different cultural traditions offer diverse models for processing collective loss

Human societies know about shared experiences of grief and loss from war, natural disaster, famine, or death. Their coping mechanisms often include ritualised mourning, collective storytelling, music, dance, prayer, seasonal ceremonies, and public memorials. Such practices serve not only to acknowledge pain and loss but also to reaffirm cultural identity, reknit social cohesion, and symbolically connect the past to the future. For instance, Japan’s Bon Festival honours ancestral spirits and affirms familial continuity; in many African cultures, grief is processed through extended mourning periods, drumming, singing, and public expression; and in Jewish tradition, shiva provides structured time for collective grieving, reflection, and emotional support.

My own cultural salve is Johnny Clegg’s 1993 song The Crossing (O Siyeza), a tribute to his bandmate Dudu Ndlovu, murdered during the unrest preceding the end of Apartheid. I heard Clegg play it live soon after its release. The song weaves personal grief with Zulu spiritualism, using the metaphor of crossing over to trace the soul’s journey from the living to the ancestors. It became something larger than a eulogy. For a country navigating out of racial segregation toward a democratic future, it captured the exhaustion and the hope in a single breath. The journey over the dark mountains is arduous. There is rest on the other side.

In many Indigenous cultures, land is part of the community. So rituals of loss extend outward to trees, rivers, species, and ancestral landscapes. In Māori tradition, whenua (land) is bound up with identity and ancestry. Damage to land is felt as a rupture in lineage and belonging, which is why communal rituals can arise to restore spiritual and social balance.

Set against that, many modern societies tend to privatise grief and put it on a clock. These cultural traditions do almost the opposite. They build ongoing, cyclical structures for revisiting loss and returning to healing, not once, but across generations. Coping mechanisms are also adaptive. They have survived disruption before and learned to hold loss without collapsing into it.

Grieving together turns out to be more than consolation. At scale, it becomes resistance, cultural renewal, and psychological repair. That is precisely its value when the loss is too large for any one person to carry alone.

Tangihanga, the traditional Māori process of mourning, unfolds over several days on a marae and draws together waiata, karakia, communal meals, and ancestral speech into a single act of re-stitching. It is not only a farewell to the deceased. It reaffirms tribal identity and the living relationship between people and whenua because in Māori cosmology land and nature are kin, not backdrop. That framing changes what environmental damage means. Degradation is harm to whakapapa, grieved communally, and when sacred sites or rivers are damaged, rituals of mourning and healing are invoked to restore balance. As a model for acknowledging ecological loss with ritual depth and communal weight, it has few equivalents.

Rooted in Indigenous Aztec traditions and blended with Catholic ritual, Día de los Muertos honours deceased ancestors through altars, ofrendas, laden with food, photographs, candles, and marigolds, alongside cemetery vigils held in a spirit of celebration rather than sorrow. The tradition affirms a cyclical view of life and death, keeping the relationship with the dead active and participatory. Grief becomes something you do together, out loud, and in public. As communities across Mexico face deforestation, water scarcity, and climate disruption, some environmental groups have begun folding that symbolism into ecological memorials with altars for extinct species and processions to mourn vanishing landscapes.

The Dogon people of Mali hold Dama ceremonies to mark the passage of the dead and release their spirits into the ancestral realm. Multi-day events built around masked dances, drumming, storytelling, and communal gathering, that in Dogon cosmology ties human life tightly to the rhythms of nature, agriculture, and celestial observation. The Dama works to restore that spiritual-ecological order when death has disturbed it. Individual loss and cosmic rebalancing are the same ceremony.

It might be obvious by now that the collective grief of ecological loss is not new or trendy or something imagined by a lefty academic on a New England campus. This is the stuff of human evolution, a knowing that loss is more than the passing of a loved one or the family pet and is felt by everyone.

It is time to acknowledge and honour it.

Acknowledging grief is essential for sustained environmental action rather than an obstacle to it

When grief is recognised and worked through, it stops being dead weight. Joanna Macy makes this point in the work that reconnects. Grieving the loss of ecosystems or species hurts, but the pain is evidence of connection. It tells the truth about what we belong to. And it can support a kind of activism that is grounded and sustainable, powered by love and loyalty to what is threatened rather than by fear or outrage alone.

Suppressing grief tends to do the opposite. It does not remove the feeling. It forces it to find another exit, and that often looks like numbing, denial, or burnout, particularly for people doing climate or conservation work up close. Many activists describe this pattern as futility, despair, and chronic fatigue. Not simply because the work is hard, but because either their grief is invalidated or because their effort starts to feel emotionally unmoored from what it is actually about. Without space to mourn what has been lost or damaged, people either step away entirely or get swallowed by hopelessness.

Psychologically, grief functions as a necessary pause. A way of honouring what matters. A bridge from loss to adaptive response. It is not indulgent or distracting. It is how individuals and communities integrate the reality of change, so they can keep acting with intention.

Socially and politically, normalising grief is a resilience move.

When people grieve together through ritual, storytelling, or public acknowledgment, they build solidarity, mutual support, and a shared sense of purpose. You can see that in the rise of climate vigils, extinction memorials, and eco-rituals. They take private sorrow and turn it into public witness. They make urgency more real because it is rooted in emotional truth.

In that sense, acknowledging grief is not a side project. It is the beginning, the maintenance, and the moral renewal of activism. The key is not to pathologise grief, but to recognise it as a necessary emotional foundation for sustained, compassionate, and creative environmental action.

Only this is not how we do it, at least not in Western democracies. Environmental crises are routinely framed as technical problems requiring scientific and technological fixes. Renewable energy, carbon pricing, and conservation strategies are essential, but that framing sidelines the emotional responses that determine whether people act, support policy, or disengage entirely.

Anxiety, grief, guilt, and apathy are not noise. They are signals that something morally and existentially significant is at stake. Public discourse rewards data and objectivity while leaving the inner human experience unaddressed, and that mismatch strands people between warnings that are scientifically accurate and emotionally inaccessible.

When emotions are named and held in community, through storytelling, ritual, artistic expression, or honest dialogue, they stop obstructing and start fuelling care and collective action. Movements that make room for emotional expression tend to generate deeper public resonance than campaigns that stay purely technical. Extinction Rebellion’s use of grief rituals and the climate justice framing of youth movements both demonstrate the point. Emotional literacy is not a soft addition to strategic work. It shapes how leadership holds under pressure, how communication lands, and how mobilisation survives the long haul.

When we make cultural room for ecological grief, we increase, not decrease, our capacity for environmental action. That runs against the old reflex that emotion pulls us away from rational solutions, when, in practice, it is the reverse. Grief is properly acknowledged deepens commitment, reduces burnout, and builds the psychological resilience required for long-term engagement with complex environmental challenges.

You can see examples of this everywhere. Indigenous communities with established ways of expressing environmental relationship often show notable resilience as conditions shift. Activists who include grief rituals in their work often sidestep the cynicism that catches many colleagues. Conservation organisations that openly name the emotional reality of biodiversity loss often sustain staff engagement and creativity longer than those that rely only on technical problem-solving.

I cannot promise a serene moment on the banks of an African river, the musty warmth of elephant dung in the air and a mourning dove pulling its long note across the channel telling you, without words, that you belong to something older than your own name. I had that once. I did not know what to do with it then, and the culture I returned to had no ceremony for what I had felt or for what was already being lost.

We have built extraordinary tools for measuring the damage. We have built almost nothing for carrying it.

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Notes & Sources (for the curious)

Naming the feeling of solastalgia & ecological grief

• Solastalgia (definition + origin) — Albrecht (2005)

• Ecological grief as legitimate response to climate-related loss — Cunsolo & Ellis (2018)

• Eco-distress/eco-anxiety as a mental-health pathway of climate change — American Psychological Association + ecoAmerica, Mental Health and Our Changing Climate (2017; updated 2021)

The backdrop: biodiversity decline & environmental loss

• Global biodiversity decline (headline synthesis + drivers) — IPBES Global Assessment Summary for Policymakers (2019)

• Biodiversity as systemic risk (economy/finance framing, recent synthesis) — IPBES-linked reporting on systemic risk assessment (2026)

Culture as “container”: collective mourning frameworks

• Tangihanga as a communal Māori mourning practice (duration, purpose, open grieving) — Te Ara Encyclopaedia of New Zealand (2013)

• Día de los Muertos (public remembrance ritual, timing, meaning) — UNESCO Intangible Cultural Heritage entry (2008)

Indigenous place-relations & “Country”

• “Caring for Country” (definition + obligations; why Country is relational) — Australia State of the Environment 2021

• Caring for Country (overview + social/health benefits framing used in policy contexts) — AIATSIS resource on Caring for Country benefits (2017)

Practice-level “so what” for holding grief without collapsing into it

• Guidance for communities/clinicians on climate-linked distress and coping — APA + ecoAmerica (2021 update)

Primary Sources

Albrecht, G. (2005). Solastalgia: A new concept in health and identity. PAN: Philosophy Activism Nature, (3), 41–55.

Cunsolo, A., & Ellis, N. R. (2018). Ecological grief as a mental health response to climate change-related loss. Nature Climate Change, 8(4), 275–281.

Lawrance, E. L., Thompson, R., Newberry Le Vay, J., Page, L., & Jennings, N. (2022). The impact of climate change on mental health and emotional wellbeing: A narrative review of current evidence, and its implications. International Review of Psychiatry, 34(5), 443–498.

Pihkala, P. (2022). The process of eco-anxiety and ecological grief: A narrative review and a new proposal. Sustainability, 14(24), 16628.

Varutti, M. (2023). Claiming ecological grief: Why are we not mourning (more and more publicly) for ecological destruction? Ambio, 53(5), 552–564.

A Systems Spine turns Insight Vault fragments into a coherent sequence. Each one starts with posture, passes through constraints and incentives, and ends with practical implications. The aim is legibility under pressure. Track ecology, energy, mass-balance, and incentives and the world stops looking so mysterious.

The story most people carry is that we got richer because we got smarter, and we will stay rich because we will stay smart.

This Sequence Spine from the Mindful Sceptic Insight Vault argues for something harsher and more useful. What about if the last 200 years of so-called progress were actually the result of a temporary subsidy that let biology run hot?

Once you see that, you start to expect correction mechanisms already in play to return to something after the subsidy.

First we have to agree the anomaly.

Industrial-era prosperity largely reflects a one-off fossil energy subsidy that temporarily expanded the Earths carrying capacity for a single species, humans. This was a unique event in evolutionary history but will pass, and ecological limits will reassert themselves when that subsidy stops scaling.

Energy is the enabling condition in the growth story. Fossil fuels converted time, space, and effort into cheap throughput, then hid the bill in depletion and externalities.

However, orthodoxy says progress is normal and can be extended indefinitely because we will figure out a way. But a subsidy always ends, even if it ends slowly.

Status competition and reward-seeking in humans converts better into higher material throughput, so overshoot becomes the default outcome unless hard structural limits exist; a positive feedback loop.

Modern life trains the nervous system to read consumption as competence, safety, and belonging. Scale that logic across millions and then billions, and choice becomes a throughput engine with its own momentum. Efficiency gains do not cancel this because the social signal is relative and resets quickly. You do not need moral failure for this to hold, you just need incentives.

This sets up the idea that technology becomes the preferred tool for sustaining throughput without confronting the incentive engine.

Innovation can raise apparent carrying capacity, but it also preserves binding ecological limits because it increases system dependence on energy and materials.

Technology tends to shift constraints rather than remove them. It often converts one bottleneck into several upstream dependencies, then locks society into new infrastructure and expectations. The orthodoxy says innovation can permanently decouple impact from welfare, but the system still runs on physical throughput and maintenance. Buying time can be valuable, but it is not the same thing as escape.

And then delay is easily misread as proof that sustainability is achievable at civilisational scale. But it isn’t.

Human evolutionary incentives for growth block steady-state sustainability at the scale of civilisation.

Sustainability is usually sold as a design problem with an engineering solution. The more profound problem is behavioural and systemic. When conditions allow expansion, expansion happens, and the winners are selected for it. Education can refine behaviour at the margin, but it does not rewrite the underlying drive or the institutional incentives for growth.

But once sustainability is reframed as myth, simplification becomes real. We can imagine the involuntary shedding of layers of social, economic, and technological infrastructure, which is what happens when a society can no longer afford the energy or resource cost of its own complexity.

Exogenous energy has already driven simplification by selecting for centralised, uniform, efficiency-led structures that reduce redundancy and diversity.

Simplification is not just collapse later, it is brittleness now. Centralisation and optimisation remove slack and standardised supply chains promote efficiency. That looks like progress until variability arrives, at which point tight coupling turns small shocks into cascading failures. The orthodoxy waits for a dramatic break, but the quieter story is ongoing fragility creation.

A brittle, tightly coupled system does not glide into decline, it wobbles and lurches.

Because population and consumption track energy flows, incentives, and narratives, efforts to engineer a gentle descent tend to produce turbulence rather than stable soft landings.

Policy assumes controllability, but complex systems do not respond like machines. When constraints bite, responses are uneven, political, and delayed, and the feedbacks arrive late and hard. Attempts to smooth decline often increase leverage and exposure by betting on coordination that fails when stressed. We can plan, of course, but it should start from volatility as the baseline.

Instead, we are locked into looking at a glass half full or half empty.

In a constraint-bound crisis, the worst move is to pick a tribe. Certainty that tech-will-sort-it makes you complacent, and doom makes you inert. If you stay sceptical and keep moving, you can diversify your bets and adapt. That is how you keep the downside contained.

The lemming problem is social, not intellectual. Crowds pile into narratives that promise salvation or justify surrender, and both encourage concentration risk. A middle-path stance stays practical. It builds optionality, redundancy, and local competence while refusing the need to be right about the grand storyline. It trades glamour for survival.

The point is not to win the argument, it is to keep your footing as the system changes.

Conclusion

Read this Systems Spine and overshoot stops being a moral drama.

What happened is that human acceleration into booming population and resource use came from a subsidy, not a new permanent rule. Consumption took that subsidy and turned it into a cultural baseline. Technology bought more runway, which let the sustainability story live longer than it earned.

Meanwhile, the system kept simplifying as redundancy was quietly stripped out. That is why turbulence is already the normal condition, not a future surprise.

The move is straightforward. Drop the question of which single lever fixes the whole system, and drop the concept of sustainability. Ask instead which commitments create irreversible downside when volatility rises.

Build life choices that can take a hit without forcing a stampede or paralysis.

The future will reward flexibility.

Greetings loyal readers,

A small change to how this newsletter arrives.

Fortnightly, you’ll receive an original Uncomfortable Truth essay, a Hard Numbers analysis, or a Systems Spine, all drawing on the Insight Vault.

On alternate weeks starting today, a pointer to a single Insight Vault entry. These are standalone arguments drawn from the canon of sceptical thinking this publication has been building. Only this time, brief, pointed, and designed to be read in under five minutes.

Thank you for sticking with us.

Mark & Chris

For 290,000 years, Homo sapiens were large mammals living by the same rules as every other animal. Populations regulated by resource availability, energy finite, outcomes determined by ecological constraints.

Then, in a geological blink, we found concentrated ancient sunlight buried underground and built a civilisation by burning it.

The Insight Vault entry below takes that subsidy apart — what it actually explains about the past two centuries, and what its depletion implies for the next two.

Somewhere in the Pilbara, Australia, natural gas is being pulled from the ground and piped to a processing plant. Most people assume it will end up as fuel. A large fraction becomes ammonia, then urea, then a white granule in a 25-kilogram bag that a farmer in Punjab will split open and spread across a wheat field next spring. Without that bag, the yield roughly halves. Without that gas, there is no bag. Modern agriculture is running a tab with the petrochemical industry, with repayments that fall due every planting season.

It’s 10,000 BCE, the end of the last Ice Age, and the beginning of the Neolithic era somewhere in Northern Europe. It’s still chilly, but the summers are nice.

Homo sapiens had been around for 290,000 years or so by this time, but the population was sparse and widely dispersed. Estimates range from 1 million to 10 million people worldwide, though most scholars agree on a midpoint of around 4 million.

Yep, you read it right, four million. The population of modern Rome.

These early humans lived in small, semi-nomadic groups, relying on hunting, gathering, and fishing for sustenance. Their impact on the environment was minimal, and population growth was constrained by high infant mortality, food scarcity, and the absence of organised food production and storage systems. The lean times in an ice age are brutal.

Fast-forward to 2025, and there are over 8 billion humans on Earth. Humans figured out late in our evolution that growing food energy was easier than foraging for it. Better still, if that food could be stored over winter or through a drought, then you could stay put in one place rather than constantly move to where there was food to forage. Imagine what this meant. Instead of wandering endlessly over mountains and valleys, you had your patch. You had land that was worth a lot to you, worth protecting because on it, you could grow or rear all the food you needed. It is easy to forget what a revolution this was.

Historians will tell us that it gave us governance, hierarchies, religion, and cultural nuances, and anthropologists will tell us about how clever we were, but it began with having a pantry.

The origins of agriculture date back to the Neolithic era, approximately 10,000 BCE, in regions such as the Fertile Crescent, China, Mesoamerica, and the Indus Valley, where humans began domesticating wild plants and animals. Key domesticated crops included wheat, barley, rice, and maize, while animals like sheep, goats, cattle, and pigs became a larder on the hoof and integral to subsistence and society. Agricultural practices were largely manual, relying on basic tools and natural rainfall, and were profoundly shaped by local ecological conditions. They also failed a lot. There was plenty of trial and error before production systems settled into recognisable patterns.

What humans figured out, mostly without realising it, was that agriculture worked best as a near-closed production system. Animals ate the plant stems, leaves and leftovers that humans couldn’t, and their manure returned to the fields. What humans ate went the same way because only a fraction of the production went offsite to pay the tithes and taxes demanded by the new governance systems.

Over time, agriculture diversified and advanced through innovations such as irrigation, crop rotation, and ploughing, particularly during the classical and medieval periods. The Islamic Golden Age and medieval Europe both contributed to the development of agricultural knowledge and infrastructure as did the improved temperatures in Europe.

There were exchanges too. In the aftermath of Christopher Columbus’s 1492 voyage, European powers explored and colonised the Americas where they encountered a rich diversity of crops domesticated over thousands of years by Indigenous peoples—maize in Mesoamerica, potatoes in the Andes, and tomatoes in Central and South America. European sailors, traders, and botanists began transporting seeds and tubers back to Europe, often as curiosities or botanical specimens. Initially unfamiliar and sometimes mistrusted, these plants gradually found their place in European fields and kitchens, aided by their adaptability, nutritional value, and economic utility.

Among the most transformative transfers were three staple crops: potatoes, maize, and tomatoes. These crops were not merely additions to existing food systems; they often displaced traditional staples and enabled new modes of subsistence. The potato, in particular, spread rapidly through Europe by the 18th century due to its high yield per hectare and its resilience in poor soils and cool climates. It became a foundation for population growth, especially in Northern Europe. Some scholars credit the potato with fuelling the demographic expansion that underpinned industrialisation in Britain and continental Europe. More on this chicken and egg shortly.

Maize proved equally revolutionary. Its adaptability to different climates allowed it to spread across Africa, Asia, and Southern Europe, where it often became a major food source for both humans and livestock. In sub-Saharan Africa, maize gradually overtook traditional grains like millet and sorghum due to its higher productivity and compatibility with shifting cultivation. While this brought food security in many regions, it also led to monoculture and nutritional dependency, exposing communities to the risks of crop failure.

Meanwhile, tomatoes, initially viewed with suspicion in Europe due to their resemblance to nightshades, became a defining feature of Mediterranean cuisine by the 19th century, contributing to new culinary traditions as much as to agricultural diversity.

These regular improvements and innovations that increased yield and made the food system more sophisticated, food production produced some population growth.

By the 18th century, often called the Age of Enlightenment, when Isaac Newton (1642–1727) was writing his Principia Mathematica that laid the foundation for classical mechanics, influencing generations of scientists and natural philosophers, the global population had climbed to round 600 million, with the majority living in Asia, followed by Europe, Africa, and the Americas. Agriculture was a net energy source that meant human populations could increase by two orders of magnitude.

Then everything changed.

The Agricultural Revolution in Europe in the 19th century introduced mechanisation, selective breeding, and improved crop management, setting the stage for more intensive, productive systems. The 20th century marked a dramatic leap with the Green Revolution, which began in the 1940s and intensified in the 1960s. Spearheaded by scientists like Norman Borlaug, the Green Revolution introduced high-yield crop varieties, chemical fertilisers, pesticides, and advanced irrigation techniques. Initially focused on Mexico, India, and the Philippines, this movement significantly increased food production and averted famines in many developing countries.

In an evolutionary heartbeat, we entered the phase of intensive agriculture.

Farmers’ adopted technologies, and unlike traditional subsistence farming, which is labour-intensive and low-yield, intensive agriculture prioritises commercial output and economic efficiency. Intensification was only possible through addition of external energy to build and power machines that do most of the heavy lifting and to create inputs to replace nutrients that were leaving the fields in the higher yielding crops. Agriculture became, and remains, an energy sink, but it generated much more food than traditional systems.

Rather than see this as an energy story, it became a triumph of modernisation in farming system expressed as crop yield. A classic example of yield improvement comes from wheat production in India during the Green Revolution. In the early 1960s, wheat yields averaged around 0.8 tonnes per hectare. With the introduction of semi-dwarf, high-yielding varieties, along with improved irrigation and fertilisation, yields more than tripled to over 2.5 tonnes per hectare by the late 1970s. This transformation enabled India to transition from chronic grain shortages to self-sufficiency within a single generation.

Think about this for a moment.

Intensification increased wheat yields from less than 1 tonne/ha to a global average of 4 tonnes/ha, and peak performers approached double figures almost overnight. Suddenly, there was a lot more food.

Four million to 600 million humans is quite a jump. The annualised growth rate required to increase the human population over 12,000 years to Newton’s time is approximately 0.095% per year, reflecting slow but persistent long-term growth until the modern era.

Calculate the human population growth rate from 1961 to 2025, my lifetime, and the rate jumps to an average annual rate of approximately 1.51%, a significant increase compared to the much slower rates of earlier millennia. If the population growth rate hadn’t jumped in the 1940s and the global population had grown at the historical 0.095% per year from 1940 to 2025, it would have reached only about 2.5 billion by 2025.

Phenomenal agricultural productivity has enabled a massive increase in the human population. Reaching this point has required pushing ecological limits by injecting vast amounts of external energy, and now we are confronted by the consequences of that ecological overshoot.

But before we get too far ahead, let’s begin with this.

As we have seen, the Green Revolution, beginning in the mid-20th century, represents perhaps the most dramatic agricultural transformation in human history. Global cereal yields increased by 175% since 1961, with wheat output in India alone surging from 12 million tons in 1965 to 20 million tons in 1970 following the introduction of high-yielding varieties and technology.

Analysis of agricultural total factor productivity, which is the ratio of total crop and livestock output to the combined set of all inputs including land, labour, capital, machinery and intermediate inputs like fertiliser and feed, shows that the change in global agricultural productivity nearly doubled from 0.87% in 1970-1989 to 1.56% in 1990-2006. However, this productivity came with a crucial dependency on fossil resources, with direct energy use for crop management and indirect energy use for fertilisers, pesticides and machinery production contributing to these unprecedented yield increases. The transformation was so complete that agriculture industrialised for a significant proportion of agricultural land, replacing traditional methods with chemical-intensive, mechanised systems.

Many books have been written on this technological marvel, most based on evidence demonstrating that modern agriculture’s yield achievements are inextricably linked to intensive practices and external inputs, representing a fundamental shift from traditional farming systems.

Hand-to-mouth food production evolved into field-to-mechanised harvesting, and although the yield and overall production increased to millions of tonnes, agriculture became a net energy sink.

And that wasn’t all.

It came with a huge environmental cost.

Imagine for a moment a farm without a tractor. It is somewhere in Northern Europe, perhaps in the mid-1800s.

It has a plough pulled by horses that also graze on paddocks. Crops are rotated, and stubble is fed to livestock. There is also a kitchen garden and plenty of chickens. The farmer and his family work hard, are multi-skilled, and are ever-resourceful.

Most farms without tractors practise mixed agriculture, growing cereals such as wheat, oats, and barley, and raising livestock including cattle, pigs, sheep, and chickens. Spring is a time for sowing and lambing; summer brings haymaking and sheep shearing; the harvest dominates autumn; and winter focuses on maintenance, feeding livestock, and making tools or clothing.

Labour is central to this tractorless farm life. A typical small farm relies on family members, sometimes with the help of agricultural labourers or seasonal workers, especially at harvest. Tools are mostly hand-powered scythes for cutting, flails for threshing, and ploughing is done with horses or oxen. Manure is collected and spread on fields to maintain soil fertility, and crop rotation is essential to prevent soil exhaustion.

Farms like this also tended to be small economic units, often producing much of what they needed while bartering or selling any surplus at local markets. Daily life included milking cows, churning butter, baking bread, brewing ale, repairing fences, and tending to kitchen gardens.

It was a tough but rewarding and productive life for the farmer and his family.

The arrival of the tractor on these small farms marked a turning point in agricultural history. With its ability to perform ploughing, tilling, and hauling faster and more powerfully than horses or manual labour, the tractor dramatically increased productivity. Tasks that once required entire teams of workers and days to complete could now be done in hours by a single operator. This mechanisation made it feasible to farm larger areas with fewer people and to cultivate heavier soils that had previously been difficult to manage.

However, the tractor also reshaped the social fabric of rural life.

As machines displaced workers, the demand for seasonal and hired hands declined. This contributed to a gradual depopulation of the countryside, as younger generations migrated to towns and cities searching for employment. Traditional skills associated with animal husbandry, hand tools, and communal labour practices began to fade. The economic model of farming shifted from self-sufficiency to market orientation, where investment in fuel, spare parts, and maintenance became part of the farm’s operating costs.

In time, the tractor symbolised the modernisation and industrialisation of agriculture. It allowed for the integration of chemical fertilisers, monoculture cropping, and intensive land use. Small farms were consolidated into larger ones. All of which increased short-term yields but also introduced ecological pressures, such as soil degradation and dependence on fossil fuels.

The scale of ecological damage is sobering, with an estimated one-third of global arable land degraded by erosion, pollution, and overuse in the past 40 years. Scientific assessments from organisations such as the United Nations Food and Agriculture Organisation (FAO) and the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) support the claim that land degradation is a major global concern, with substantial portions of arable land affected.

The FAO has warned that if current trends continue, 90% of Earth’s topsoil could be degraded by 2050. A 2017 UN-backed study estimated that about one-third of the world’s land is already moderately to highly degraded, a figure often interpreted as including arable land.

Soil degradation includes erosion, salinisation, compaction, nutrient depletion, and chemical pollution from overuse of fertilisers and pesticides. All these factors reduce soil fertility and productivity affecting yields and, in the extreme, lead to abandonment of farmland or the need for costly remediation. However, not all degraded land is permanently lost as some farms remain viable with diminished yields, notably through subsidies, while other areas can be restored through regenerative practices, though at great effort and cost.

The impact of intensive agriculture on soil health is particularly severe. The application of synthetic nitrogen fertiliser decreases the soil’s microbiological diversity and can lead to soil acidification. Excessive fertiliser use leads to salt buildup, heavy metal contamination, and nitrate accumulation that pollute water systems. Agriculture has caused massive biodiversity losses globally through habitat conversion, pesticide and fertiliser pollution, and soil degradation.

Agriculture accounts for approximately 50% of anthropogenic methane production and 80% of anthropogenic nitrous oxide production. When natural land is converted to farmland, it removes essential nutrients and reduces the soil’s carbon storage capacity by 50-75%. In other words, agriculture generates a third of global greenhouse gas emissions.

And it is not just greenhouse gases. Agriculture is the leading source of pollution in many countries, with pesticides, fertilisers and other toxic farm chemicals poisoning fresh water, marine ecosystems, air and soil, often remaining in the environment for generations. Applying pesticides and fertilisers has increased heavy metal levels in soil, especially cadmium, lead, and arsenic. Some of this gets into the crops.

Feedback loops are especially troubling, where the consequences of an action reinforce the original problem. In the context of soil health, over-tilling, monocropping, and heavy chemical use degrade soil structure and fertility. This degradation reduces the soil’s ability to retain water and nutrients, leading to increased runoff, erosion, and further loss of organic matter. As the soil becomes less productive, farmers may apply more fertilisers and intensify cultivation, which only worsens the underlying problem—a classic positive feedback loop.

These loops are crucial because they shift agricultural systems into unstable states, where recovery becomes increasingly complex without systemic change. For example, the loss of soil organic carbon reduces fertility and impairs microbial life, which in turn slows carbon regeneration and nutrient cycling. Likewise, erosion reduces root stability and vegetation cover, further exposing the land to erosion. This cycle depletes the ecological resilience of the land, reducing its ability to buffer shocks like drought or flooding.

Understanding and breaking these feedback loops is essential for sustainable agriculture. Without intervention, such as adopting conservation tillage, cover cropping, and organic amendments, these reinforcing cycles degrade ecosystems. Over time, they threaten productivity, food security, and long-term soil viability on a global scale.

We need to know, for now, that the evidence shows comprehensive ecological costs of intensive agriculture across multiple systems, with impacts extending far beyond farm boundaries. This suggests that intensive agriculture is precarious for other reasons…

Modern high-yield farming runs on purchased power. Synthetic fertilisers, chemical pesticides and herbicides, diesel and steel are all paid for inputs. Irrigation water is moved and delivered on schedule. This combination can produce extraordinary short-term output, but the whole thing is a tightly coupled machine that assumes fossil fuels stay cheap, mined nutrients like phosphorus and potassium continue to flow, and supply chains persist.

When any of that is pinched through geopolitical tension, an energy price shock, or simple depletion, production stops being efficient and starts being fragile. The system creaks.

The same logic shows up in the ecology.

Yield-first systems tend to simplify the landscape into monocultures, and monocultures are poor at improvisation. They adapt badly to shifting climate conditions, they invite pest outbreaks, and they struggle to hold water and nutrients when stress arrives. In a warming world, that interaction matters. Climate extremes like heatwaves, droughts, and floods don’t just reduce yields on their own. They collide with a rigid, high-input structure and amplify the downside. Without buffers like biodiversity, soil health, and flexible cropping systems, a farm can look productive right until conditions drift off-script. Then the losses can be brutal.

And then there’s the money.

High-input systems carry exposure to both the cost of inputs and the price of outputs. When energy and fertiliser prices rise, margins thin fast, especially for small- and medium-scale farmers. The response is predictable. More debt to stay in the game, or consolidation when they can’t. But even if the farm gets bigger, the risk doesn’t go away.

In 2022, disruptions linked to the war in Ukraine, especially sanctions-related constraints on Belarusian potash exports and wider trade, finance, and logistics frictions affecting Russian fertiliser trade, contributed to sharp fertiliser price spikes. Countries highly dependent on imported fertilisers, including Brazil and many low-income farming regions in sub-Saharan Africa and South Asia, faced acute affordability pressure, raising the risk of reduced fertiliser application and localised yield losses, with consequent increases in food insecurity risk. The episode underscored how tightly yield-focused agriculture is coupled to global input flows, leaving limited slack for adaptation when those flows are interrupted.

The 2007–2008 global food price crisis was driven by a convergence of factors including rising oil and energy costs, climate-related production shocks (including drought impacts on major exporters such as Australia), and amplifiers such as low global grain stocks and export restrictions. The price shocks produced extreme volatility and social unrest across dozens of countries. High-input systems, especially in the Global South, were exposed as financially fragile under volatile global markets, with smallholder farmers disproportionately affected because they lacked buffers against sudden swings in input costs and output prices.

During extreme events like the 2012 drought, the largely rain fed corn–soybean systems of the U.S. Midwest that are dominated by simplified corn–soy rotations and high fertiliser use, took major yield losses, with corn hit hardest. The drought made the mechanism obvious. Simplified, input-intensive systems lean on favourable weather timing and thin soil-moisture buffering, so as heat and rainfall variability increase, they become a predictable point of failure.

Long-term field experiments point to a different kind of strength. Greater crop-rotation diversity and soil-building practices can lift yield resilience in hot and dry years compared with simpler rotations, by improving water retention and adding ecological buffering against erratic rainfall and temperature extremes.

Much of this comes down to the fact that intensive agriculture, while designed to produce food energy, is a net energy sink. The process of producing food at high yield uses more energy than it returns.

Just how much of a sink?

A detailed energy analysis of Danish agriculture highlights the extent of its reliance on external inputs. Estimates suggest that for every joule of fossil energy used in farming, processing, and transport, only about 0.2 to 0.3 joules of food energy are returned—an energetically inefficient system by natural ecosystem standards. Furthermore, the majority of essential plant nutrients are sourced externally through commercial fertiliser and imported animal feed that supply approximately 84% of nitrogen, and around 90% of both phosphorus and potassium. Fertility is being maintained primarily by sustained external throughput, not predominantly by solar-powered energy capture plus tight nutrient cycling that happens in natural ecosystems.

Once you stop looking only at the farm gate, the energy maths gets ugly. Modern food production often looks efficient in narrow terms, then flips when you count the whole agri-food system. Fertiliser manufacture, mechanisation, processing, cold storage, transport, and, most of all, livestock feed conversion stack up as external energy subsidies. Add those in and many high-income agri-food systems end up as net energy sinks (EROEI < 1). They burn continuous external energy, mostly fossil fuels, to deliver food calories.

That makes industrial food provisioning energetically and strategically fragile under energy price volatility, decarbonisation constraints, and tightening ecological limits, even when some individual crops still come out net-positive at the farm level.

All this dependence and precarity when there are 8 billion people and their pets to feed, with no sign of this demand declining for a long time, begs a troubling question, phrased here as the following premise; how long can it last?

Imagine you are the Minister of Agriculture in a liberal democracy. Urban voters, typically the majority, want low food prices, high safety standards, and environmental responsibility. They rarely farm but vote in large numbers and carry real weight on climate, biodiversity, and animal welfare. Rural communities are smaller but disproportionately influential, working through lobbying groups, rural electorates, and a powerful sense of national identity. Farmers want income stability, protection from market volatility, and swift government support when input costs rise, weather turns, or trade shocks land. When frustrated, they drive their tractors into the city and cause almighty traffic congestion.

Above all of this sit the macro pressures. Food security, climate adaptation, trade agreements, and budget competition from health, education, and defence mean every agricultural dollar has to be justified twice. Voters expect resilient food systems, fair prices, and ecological responsibility, and they disagree sharply on which matters most. Electoral cycles run on years. Soil recovery runs on decades. The politics are charged, and the short-term horizon makes serious long-term planning feel like a luxury the portfolio cannot afford.

Amidst this chaos, a soil ecologist comes along and asks to brief you on what she says is a crucial, existential double risk, namely the overexposure of intensive agriculture to fossil fuels and the ecological consequences of maximising yield on soil health.

You instruct your PA not to find the time.

You just can’t deal with existential right now. And, anyway, agriculture is a market, one of the very first, so it will sort itself out.

The focus on maximising short-term outputs, primarily yield and economic returns, has become a defining characteristic of industrial agriculture. This is understandable, given the Minister’s response and within the context of market incentives, policy metrics (e.g., GDP, tonnes per hectare), and political timelines, which all favour immediate, quantifiable results.

However, this narrow framing can obscure the long-term costs that accrue silently. Add up the dependencies and externalities across landscapes dominated by intensive agriculture and ecological limits are reached, especially planetary boundaries such as those related to nitrogen use, land-use change, and freshwater withdrawal that are routinely transgressed by yield-driven systems.

The premise, therefore, rightly draws attention to a dangerous mismatch between the temporal scale of political-economic decision-making and the long-time horizons over which sustainability and resilience must be built.

And none of it is news. Precarity has been building for a long time.

What seems like success when yields trend upwards is weakening the ability of soils and the farmers that farm them to maintain them into the future.

It’s a true paradox, so let’s state it as a premise and see if it holds….

UN-affiliated assessments warn that soil and land degradation could become widespread by mid-century if current trends continue. UNESCO, drawing on the World Atlas of Desertification, has reported warnings that up to 90% of the planet’s land surface could be degraded by 2050, while FAO synthesises evidence that roughly one-third of the world’s soils are already degraded.

These are not trivial claims. Degradation of this magnitude threatens food security not only through physical erosion, but through declining soil function, specifically loss of organic matter and soil carbon, disrupted nutrient cycling, compaction, salinisation, acidification, contamination, and the associated weakening of soil biodiversity.

The United Nations system also reports that land degradation is already extensive and accelerating. A widely cited UN-linked estimate is that around 24 billion tonnes of fertile soil are lost each year, largely through erosion, and that about a third of soils are moderately to highly degraded by processes including erosion, salinisation, compaction, acidification, and chemical pollution. These trends reduce productive capacity and resilience, increasing vulnerability to drought, heat, and other climate stresses.

This isn’t just an environmental problem; it’s undermining the foundation of agriculture itself.

And, of course, there is more.

Water systems face parallel pressures. The agricultural sector consumes over two-thirds of the planet’s freshwater, and without innovative conservation measures, agricultural production uses excessive water and degrades water quality, thereby adversely impacting freshwater systems worldwide.

Over the past decade, pollinator numbers have declined due to the combined stress of parasites, pesticides, and habitat loss. Pollinators are essential for over 75% of the world’s food crops, particularly fruits, vegetables, nuts, and oilseeds. Their decline undermines agricultural productivity and increases dependence on managed pollination, which is costly and less reliable, illustrating a self-defeating feedback loop between farming practices and ecosystem services.

Increasingly, agriculture is running into negative feedback loops that look like mounting systemic stress. In many regions, holding yields steady now takes more fertiliser and pesticide, just to compensate for soil that is slowly losing function. The decline isn’t only nutrient depletion. It’s the long tail of intensive chemical use and the steady erosion of organic matter.

Heavy machinery doesn’t just speed things up. It leans on the soil until the pores collapse. Compaction shuts down infiltration and oxygen. Microbes slow. Nutrient cycling gets sticky, then starts failing in predictable ways.

This is what limits to growth looks like when it arrives in a paddock. The same levers that drove expansion and control, mechanisation, synthetic inputs, intensification, start eating the foundation they rely on. And the evidence is not subtle. Current practice is degrading the ecological basics that sustained agriculture in the first place. That leaves an ugly constraint sitting in the middle of the conversation.

We still have to grow enough food to feed 8 billion people and their pets.

Agriculture began as a pantry. A way to store what the sun had grown, stay in one place, and outlast the lean season. For twelve millennia that logic held. The system was slow, imperfect, and hungry at the margins, but it ran on solar income. What came out of the ground had come in from the sky.

The Green Revolution broke that loop. Yields tripled, then quadrupled, and the population followed. The mechanism was energy. Colossal, cheap, fossil energy poured into fertiliser synthesis, mechanisation, irrigation, and transport. For every joule returned as food, modern agri-food systems burn several in. The pantry is still full. The fuel bill is what we don’t talk about.

At 8 billion people, there is no backup system. The soil that intensive farming has spent down over seventy years does not recover on electoral timelines. The phosphorus mined from rock to grow the grain does not return. The aquifers drawn down for irrigation do not refill. The process is already underway.

Our ancestors built the pantry to escape scarcity. We filled it with oil. The arithmetic leaves one question. How long the credit runs before the shelves show what is actually behind them.

Notes & Sources (for the curious)

Scale of the story (people + output)

• Population totals & growth windows (1960s→today) — UN DESA World Population Prospects (2024); World Bank Data (population series, 2025)

• Cereal yields/production since 1961 (and how much rose) — FAOSTAT (2025); Our World in Data (FAOSTAT-based summaries, 2025).

Energy: “oil into food” (system boundary matters)

• Food-EROI / net energy sink framing for modern agri-food systems — Rasul et al. (2024); Markussen et al. (2013)

• Danish system specifics (low food energy return; externalised N/P/K) — Markussen et al. (2013).

• Why nitrogen fertiliser is an “embedded energy subsidy” (Haber–Bosch scale) — IEA Ammonia Technology Roadmap (2021); FAO soil/erosion key messages referencing soil degradation pathways (context for why fertiliser dependence matters).

Soil, water, biodiversity: the ecological balance sheet

• Soil degradation scale (33% degraded; “>90% by 2050” warning) — FAO/ITPS (2015, as summarised by FAO Soil Erosion Symposium key messages); FAO newsroom soil erosion explainer (2019).

• “24 billion tonnes of fertile soil lost each year” — UNEP / International Resource Panel (2016); UNCCD synthesis citing FAO estimate.

• Agriculture’s share of freshwater withdrawals (~70%) — UNESCO World Water Development Report stats (2024); FAO “Water for Sustainable Food and Agriculture” (FAO brief).

• Pollinators & food production dependence (“~75% of crop types”) — IPBES Pollination Assessment (2016)

Shocks, tight coupling, and volatility

• Fertiliser price spike around the Ukraine war (2022) and supply-chain exposure — World Bank Commodity Markets Outlook (Apr 2022); USDA ERS overview of fertiliser market disruption (2023).

• Food-price crisis drivers (2007–08) and volatility mechanics — FAO explainer on the 2007/2008 crisis; World Bank synthesis on price volatility (2011).

• Weather extremes hitting simplified systems (2012 US drought example) — USDA ERS “Charts of Note” on 2012 corn yield impacts; NOAA drought reporting for 2012.

“Yield isn’t the only KPI” (regenerative / organic evidence)

• Regenerative profitability vs yield; pest “paradox” (10× pests with insecticides) — LaCanne & Lundgren (2018)

• Organic vs conventional energy-use efficiency (paired farm comparisons) — Chmelíková et al. (2024).

Primary Sources

Chmelíková, L., Schmid, H., Anke, S., & Hülsbergen, K.-J. (2024). Energy-use efficiency of organic and conventional plant production systems in Germany. Scientific Reports, 14(1), 1806.

Giller, K. E., Hijbeek, R., Andersson, J. A., & Sumberg, J. (2021). Regenerative agriculture: an agronomic perspective. Outlook on agriculture, 50(1), 13-25.

Harchaoui, S., & Chatzimpiros, P. (2018). Can agriculture balance its energy consumption and continue to produce food? A framework for assessing energy neutrality applied to French agriculture. Sustainability, 10(12), 4624.

LaCanne, C. E., & Lundgren, J. G. (2018). Regenerative agriculture: Merging farming and natural resource conservation profitably. PeerJ, 6, e4428.

Markussen, M. V., & Østergård, H. (2013). Energy analysis of the Danish food production system: Food-EROI and fossil fuel dependency. Energies, 6(8), 4170–4186.

Pretty, J., Benton, T. G., Bharucha, Z. P., Dicks, L. V., Flora, C. B., Godfray, H. C. J., ... & Wratten, S. (2018). Global assessment of agricultural system redesign for sustainable intensification. Nature Sustainability, 1(8), 441-446.

Rasul, K., Bruckner, M., Mempel, F., Trsek, S., & Hertwich, E. G. (2024). Energy input and food output: The energy imbalance across regional agrifood systems. PNAS Nexus, 3(12), 524.

Woods, J., Williams, A., Hughes, J. K., Black, M., & Murphy, R. (2010). Energy and the food system. Philosophical transactions of the Royal society B: Biological Sciences, 365(1554), 2991-3006.

Outside the kitchen, somewhere else, someone else is growing the next crop. Because the world eats rice all the time.

The Hard Number

Modern rice is a story about continuous global throughput constrained by land, water, energy, and milling capacity.

The latest USDA and FAO data put annual global consumption at approximately

This one staple supplies about 17–20% of the total calories consumed by the global population, feeding over 3.5 billion people daily.

Framing the hard number

Millions of tons are impossible to visualise.

Let’s try one metric ton (1,000 kg) of rice, and it helps to switch from weight to space and packaging, to make the visuals easier. One metric ton would be a little over 1 cubic metre (40 cubic feet.) A standard built-in dishwasher is roughly 8 cubic feet. If you were to stack five dishwashers in a neat 2x2 pile with one on top, you would be looking at the volume of one measurement ton.

In the global market, rice is most commonly transported in 50 kg (110 lb) sacks, so a ton is 20 sacks, which, on a standard wooden shipping pallet, 20 sacks would stand about chest-high for an average adult.

If you tried to count every grain in that one-ton pile, you would get to roughly 50 million individual grains of rice.

A ton of rice is an enormous amount of food in human terms that can provide the main daily caloric intake for roughly 5,500 people for one day, or feed a family of four for about 3 to 4 years if rice is their primary staple.

Behind the hard number

Some basic rice.

Rice arrives in your kitchen as milled rice, but it is grown and harvested as paddy (rough rice), which is then processed. During processing, rice loses about 30 per cent of its weight, depending on recovery rates and equipment.

That detail matters because global consumption is reported on a milled basis, while yields and farm realities often start on a paddy basis. A typical global standard milling recovery is roughly 70 per cent, with modern multi-stage mills around 65 per cent and traditional village mills as low as 50 to 55 per cent.

So the causal chain looks like this.

People demand milled rice for food, but milled rice depends on a paddy harvest, and that harvest depends on land, water, labour, fertiliser, machinery, and timing; then milling adds its own dependencies of energy, equipment, and quality control.

The big challenge with 544 million metric tons of milled rice is that this is far too much to store for any length of time. In small batches, like the bag in your pantry, it will keep for a year or more so long as oxygen, moisture, light, and pests are constrained. But millions of tons is a civil engineering problem.

The dominant structure is the vertical steel or concrete silo, with a single large unit holding between 10,000 and 20,000 tons. The central technical challenge is temperature. A single hot spot in a large silo triggers mould or spontaneous combustion, so computer-controlled aeration systems push air through perforated floors to keep the mass uniform. In tropical climates, grain chillers drop temperatures to around 15 degrees Celsius, putting insects into a biological coma. For long-term national stockpiles, nitrogen injection at 99 percent concentration replaces the atmosphere entirely, killing all pests without chemical residue. Traditional bag storage without climate control loses between ten and fifteen percent to rodents and spoilage. Modern industrial storage holds annual losses below one percent, assuming that infrastructure exists.

Some rice can be stored for a time, although not very effectively in the traditional shed, but you cannot store your way out of a system that needs to deliver roughly 1.5 million tons every day.

That level of throughput means we have to grow it.

Assuming a paddy yield of 5 tons per hectare and a milling recovery rate of 70 per cent, feeding the world’s rice appetite for one day would require harvesting roughly 426,600 hectares, the area of Rhode Island or Dubai.

Two things to notice.

Rice, like most staple foods, is primarily a throughput story. This means it is not really about how much land rice uses in the abstract, but how much land-equivalent must perform successfully today and tomorrow. The scale is also fragile because it rests on a stack of assumptions, and small shifts in those assumptions move the result a long way.

If yields are around 10 t/ha as a plausible upper benchmark, the land required for a day roughly halves to about 213,000 hectares; if yields are around 2.2 t/ha as a plausible lower benchmark, it jumps to about 970,000 hectares; and if milling recovery drops to 55 per cent, the hectares required rise even if field yield stays the same.

Most public narratives skip these assumptions. Food security is often framed as a seasonal production challenge, but rice behaves more like a daily systems-performance requirement, where weak links show up fast.

The Deeper Pattern

Rice is a food staple, and there are two stories people like to tell about staples.

One is the progress story where yields go up, technology improves, markets smooth volatility, and everyone gets fed.

The other is the moral story. If there is hunger, someone is hoarding; if there is greed, someone is failing ethically.

Both stories dodge the throughput constraint.

The system has to keep converting water, land, nutrients, and energy into edible calories at scale. That conversion can be buffered a little, but it cannot be paused. You can be ahead of the curve for a season. You cannot be ahead of the curve forever.

That is why the institutional theatre is so persistent.

Institutions prefer numbers that are legible, flattering, and easy to repeat. If there are 185 million tons of rice stocks, it sounds like control. Record yields sound like inevitability. The manual calls this measurement hygiene. Without clear boundaries, denominators, and source provenance, numbers become comfort objects.

And there is a second incentive layer.

Rice demand growth is shifting, with Sub-Saharan Africa often identified as the fastest-growing demand region and potentially contributing around 27 per cent of global consumption growth over the next decade.

That makes this a policy and infrastructure story as much an agronomy story about import dependence, milling and storage investment, port capacity, logistics, and foreign-exchange constraints can matter as much as seed varieties. The comforting institutional habit is to compress a complex system into one lever, usually yield, and one reassurance, usually stocks because that is repeatable and meeting-friendly, but it is a poor guide.

Rice yield is not simply biology; it is water control, land preparation, fertiliser, diesel and pumping, reliable milling power, transport capacity, and an increasingly climate-shaped risk profile that can break any link in the chain.

Being a Mindful Sceptic

A mindful sceptic uses curiosity and critical thinking to rigorously question ideas and demand evidence, while being aware of what matters, when it matters, and how to avoid the trap of cynicism.

Three mindful sceptic moves are worth making with the rice number.

Convert annual to daily. Any food security claim anchored to annual production or stock figures is hiding the throughput reality. Ask what must be true today, not what looked good in last season’s harvest report. The hectares-per-day frame is a useful diagnostic precisely because it is uncomfortable.

Follow the conversion losses. Milling recovery is where the same field output becomes a different edible supply depending on equipment, power, and quality control. A yield improvement running through a 50% village mill is not the same as one running through a modern 70% facility. That distinction rarely appears in the headline number.

Treat buffers as institutional, not physical. A stockpile is only a buffer if it is accessible under stress, in the right form, at the right place and time. Who holds it and under what release rules matters as much as the tonnage figure.

For any rice statistic you encounter, including those above, apply the same test. State the value, unit, year, geography, denominator, system boundary, and source. If you cannot fill those fields, downgrade the claim.

Key Points

• Rice is a daily throughput system, not just a food category. With global milled-rice consumption on the order of ~544 million tonnes per year in 2025, even one day of rice requires an enormous amount of successfully functioning land and logistics.

• Yield is inseparable from infrastructure because milling recovery is a conversion bottleneck, meaning the same field output can translate into very different edible supply depending on milling equipment, power, maintenance, and quality control.

• Buffers are political, and so are the numbers. Large stockpiles don’t automatically equal resilience if they are held domestically and released according to national priorities

• Institutions prefer repeatable, flattering metrics, so a mindful sceptic converts annual claims into daily requirements and applies measurement hygiene before treating any headline number as load-bearing.

Back to the Front

The biryani is ready and delicious; a small domestic event.

But rice is not small. It is the visible end of a process that has to succeed again tomorrow, and once more the day after that, on land, water, and energy; we do not get to renegotiate.

Precarious Plenty argues that feeding a still-growing global population is a systems problem, not a supply problem. Apparent abundance coexists with chronic hunger because access is blocked by poverty, power, conflict, and policy, and because highly centralised supply chains trade resilience for efficiency. This leaves prices and availability exposed to cascading shocks. A calorie-first definition of food security compounds this by hiding diet quality, micronutrient deficiency, and the erosion of food sovereignty. At the production end, intensification, climate volatility and water stress reveal how brittle production has become. The conclusion is that real food security requires systemic redesign toward fair access, decentralisation, ecological resilience, and locally rooted sovereignty. Doubling down on industrial intensification leaves the underlying fragility intact.

Today, there are roughly 8 billion people on Earth. An hour from now, another 8,000+ will have been added to the total. Despite everything the western media tells you, the global population continues to increase at around 70 million per year, a rate of 0.84%, that’s a net daily increase of 190,000 people.

Like all mammals, the existing population and the new arrivals have to eat, or they will starve. Miraculously, global agriculture produces enough calories to feed everyone. One billion loaves of bread, 3.8 billion eggs and over 2 billion litres of milk are consumed every day.

And yet over a billion people go to bed hungry and a billion more are overweight or obese. It’s a true paradox that could either unfold further because of such a large and complex global food system necessary to deliver all the food calories, or it could collapse into chaos due to the desperation of the hungry and the healthcare needs of the malnourished.

It’s a complicated problem. Or is it complex?

Complicated problems are like intricate machines, such as a modern tractor with some dodgy sensors. They may be resource-intensive, but they are ultimately solvable with sufficient expertise, coordination, and the right tools. Complicated problems respond well to top-down planning, improved logistics, and enhanced technical capacity. Some are even solvable by a novice with access to a chatbot. Examples include fixing a fuse and extend to building infrastructure or improving bureaucratic efficiency.

When we mistakenly treat complicated problems as complex problems, which are inherently unpredictable, adaptive, and interdependent, we may over-engineer solutions or introduce disruptive reforms that add confusion rather than clarity. This misdiagnosis often leads to paralysis, wasted effort, or the dismantling of systems needing better management.

Complex problems are different. They have numerous interconnected parts that involve feedback loops, emergent behaviours, and nonlinearity. They cannot be solved by adding resources or refining existing structures; instead, they demand systemic shifts, iterative learning, and adaptive responses. More refined versions of what went before rarely fix them.

Suppose problems like climate change, public health inequity, or educational disengagement are mischaracterised as merely complicated. In that case, the response involves technocratic fixes and optimisation strategies that may appear productive in the short term but fail to create lasting change. The result is often a cycle of repeated interventions that treat symptoms rather than root causes.

Accurately distinguishing between complicated and complex problems is crucial for effective policy and strategy. While complicated problems benefit from expertise, planning, and control, complex problems require humility, experimentation, and collaboration across disciplines and sectors. Mistaking one for the other distorts both diagnosis and remedy, potentially escalating crises that could otherwise be resolved or adaptively managed.

So let’s consider food, specifically the challenge of feeding people.

The prevailing approach to global food security often assumes it is a complicated problem that can be solved with more technology, higher yields, improved supply chains, and targeted aid. This perspective views hunger and malnutrition primarily as issues of insufficient production or inefficient distribution, which are technical challenges that can be addressed through better data, biotechnology, logistics, or funding.

This mindset has pulled decades of global investment toward agricultural intensification by treating the Earth like a factory floor that just needs better machinery. Build GMOs. Scale high-input irrigation. Add precision farming with GPS and data analytics used to micromanage soil nutrients. Turn food production into a high-efficiency, predictable science.

And global caloric production has surged. The sheer volume of food moving through international markets is higher than at any point in human history. But availability is not the same thing as access. These solutions lean on expensive technology and brittle trade logistics, so they often route around the smallholder farmers and marginalised communities who most need resilience. So food is more abundant than ever, and yet food insecurity persists because the technical fix never touches the poverty, land rights, and systemic inequality.

In reality, food security is a complex problem. It is about food availability, access, and use, as well as the stability of these factors over time, all of which are entangled with, social inequality, land rights, water access, trade policies, and cultural practices. Hunger can persist even when food is plentiful because of poverty, displacement, systemic exclusion, or broken governance. Then climate disruptions, such as droughts or floods, can unpredictably ripple through global markets and local livelihoods. Thus, food insecurity demands more than technical fixes; it requires coordinated action across agriculture, economics, health, environment, and human rights, often involving conflicting interests and uncertain outcomes.

And because all that involves people, it is innately complex. We might even call it wicked.

Mainstream food security discourse often attributes persistent hunger to logistical challenges, poverty, and regional conflicts. It is tackled as a complicated food distribution problem that can be solved through improved infrastructure, economic development, and humanitarian aid while maintaining current production systems.

However, hunger could persist because current economic systems actively concentrate resources and power, making hunger profitable for some actors through land speculation, commodity trading, and the maintenance of cheap labour.

There is also a view from ecological economics and mirrored everywhere on Mindful Sceptics, that the apparent plenty in food production worldwide is artificially maintained through fossil energy subsidies and an ecological debt that makes current production levels unsustainable, meaning we’re borrowing from future food security to create present abundance.

But before we go too deep into the reasons for the precarity, let’s begin with the premise that there is enough food to go around.

Global production of primary crops reached 9.7 billion tonnes in 2024, maintaining high levels despite a slight 2% dip from the 2023 peak, while meat production rose to 374 million tonnes. Additionally, the global agricultural value added reached $4.0 trillion in 2023.

According to the FAO’s State of Food Security and Nutrition in the World 2025 report, global food production generated approximately 2,985 calories per person per day. This remains significantly higher than the average minimum dietary energy requirement of 2,100–2,500 calories per day.

I explain more of how this happens in this Mindful Sceptic Guide

Yet paradoxically, between 638 and 720 million people faced hunger in 2024, while 2.3 billion people experienced moderate or severe food insecurity. This isn’t a rounding error; it represents close to a third of the global population and is a fundamental indictment of how we’ve organised our food systems.

If the 550 million farmers worldwide produce enough calories to feed everyone, then food security is a distribution and access problem, a system failure. The evidence is overwhelming and consistent across multiple authoritative sources that we live in a world of artificial scarcity created by systemic inefficiencies rather than production limitations.

Poverty, conflict, and weak governance block access to available calories, while crumbling infrastructure prevents surplus food from reaching hungry populations. Malnutrition reflects the absence of diverse, nutrient-rich foods, particularly for vulnerable groups like children and pregnant women. Meanwhile, we waste one-third of all food produced through spoilage and poor planning. This waste is a glaring symptom that hunger in our food-abundant world signals distribution failure, not production inadequacy.

And we are generally soothed by theory.

While food is plentiful at a global scale, the persistent and growing levels of food insecurity reflect deep-seated socio-political and economic inequalities that demand structural reforms rather than just increased production.

Neoliberal theory tells the reassuring story that if we let markets work, let economies grow, then access will improve over time. And if access breaks in the meantime, you patch it with targeted interventions of food aid and safety nets without disturbing the efficiency of global markets.

Political ecology tells a different story, that access isn’t a lagging indicator of development but a product of power. Wealthy nations and corporations extract resources from food-producing regions, then concentrate value-added processing and retail profits elsewhere. The system doesn’t fail to deliver access. It is structured to deliver value upward.

And then there are traditional food systems. Many of them produced more equitable access through community-based resource management. But they weren’t simply outcompeted. They were systematically dismantled by colonial and capitalist expansion.

Amartya Sen’s seminal work, particularly in Poverty and Famines (1981), introduced the concept that famines are less about the absence of food and more about people’s inability to acquire it—a condition he termed entitlement failure. Sen demonstrated this with historical case studies, notably the 1943 Bengal Famine, where food was available, but inflation, wage collapses, and policy failures prevented the poor from accessing it. He concluded that famine vulnerability arises from the breakdown of economic, legal, and social mechanisms that allow people to claim food.

This theory isn’t abstract. It shows up, intact, in modern crises.

Take the 2011 famine in Somalia. Food existed in regional markets, but armed conflict and displacement prevented reliable movement. And as public institutions collapsed, humanitarian response was restricted. The bottleneck was access; people couldn’t reach the food, and couldn’t afford it when they could.

Or take the 2008 global food crisis. Speculation, biofuel demand, and trade restrictions pushed prices sharply upward and riots followed in over 30 countries, including Egypt, Haiti, and Bangladesh. Global food stocks weren’t critically low, but prices surged, and basic staples were unreachable for millions.

Clearly, solving hunger requires more than growing more food.

Countries with similar levels of agricultural productivity can experience vastly different hunger rates, primarily due to differences in political institutions and economic management. Yemen, a country that imports approximately 90% of its food, faces severe food insecurity. The ongoing conflict has disrupted supply chains, destroyed infrastructure, and devastated economic livelihoods, leading to widespread famine conditions. According to the World Bank, over 20 million people, or about 68% of Yemen’s population, are food insecure, with 10 million at risk of famine.

These dire circumstances persist despite the availability of food in global markets, underscoring that the crisis stems more from political instability and economic collapse than from agricultural insufficiency.

During the COVID-19 pandemic, global food production remained relatively stable. However, the pandemic’s economic and logistical disruptions led to a significant rise in food insecurity. According to the 2022 Global Report on Food Crises, nearly 193 million people in 53 countries experienced acute food insecurity in 2021, an increase from previous years.

In the United States, the pandemic disrupted food distribution channels, leading to paradoxical situations where food waste and hunger coexisted. With the closure of restaurants, schools, and other food service venues, farmers faced reduced demand and logistical challenges, resulting in the destruction of perishable goods like milk and vegetables. Simultaneously, food banks experienced unprecedented demand. Feeding America reported that 98% of food banks saw an increase in demand for food assistance, with many struggling to meet the needs of their communities.

The overwhelming weight of evidence from development economics, conflict studies, and pandemic responses confirms that access barriers, not production capacity, drive contemporary food insecurity.

And this suggests that the problem might be in the supply chain more than in production.

The efficiency of globalised food systems is undeniable. They have enabled unprecedented food variety and reduced costs for consumers, particularly those who shop in supermarkets, while allowing countries to specialise in their comparative advantages in growing food. The average grocery store stocks products from over 50 countries, and trade flows worth USD 2.0 trillion annually ensure year-round availability of diverse foods. Globally, the supermarket sector is substantial, with the food and grocery retail market valued at approximately USD 12.7 trillion in 2025.

However, this efficiency that is familiar to about 2 billion people comes at the cost of resilience.

In March 2021, the Ever Given, a massive container ship, became lodged in the Suez Canal, one of the world’s most critical maritime choke points, handling approximately 12% of global trade. The blockage lasted six days, during which an estimated $9.6 billion worth of goods were held up each day. Hundreds of ships were delayed and because the Suez Canal handles approximately 7% of the global grain trade and a significant portion of the world’s fertilisers and perishables, the six-day closure triggered immediate spikes in shipping costs and regional food prices. While non-perishable grains faced logistical delays and increased insurance premiums, the most acute impact was felt by the fruit, vegetable, and livestock sectors; thousands of containers of fresh produce were at risk of spoilage, and ships carrying live animals faced critical shortages of feed and water.

Corporate concentration is another pressure point in the global food system. Six companies control 58% of the global commercial seed market and 78% of the agrochemical market. And in grain, a small cluster of multinationals, often labelled the ABCD companies (Archer Daniels Midland, Bunge, Cargill, and Louis Dreyfus), alongside a few others, controls a significant share of global trade.

When seeds, agrochemicals, and grain flows are dominated by so few players, the risks aren’t theoretical. Competition thins and farmer autonomy narrows. And the system’s ability to adapt starts to depend on the incentives and fragilities of a concentrated corporate stack.

A cyberattack on JBS, a leading global meat processing company, significantly disrupted operations across the United States, Canada, and Australia in 2021. The ransomware attack, attributed to the REvil group, forced the temporary closure of multiple facilities, including all JBS-owned beef plants in the U.S., which process approximately one-fifth of the nation’s beef supply. This incident highlighted the food industry’s reliance on digital systems and the potential for cyber threats to cause widespread operational disruptions.

Globalised food systems are efficient and profitable. But they are brittle and vulnerable to shocks. It is a classic cost of efficiency.

Beyond the physical movement of grain, there is a growing concern regarding the financialisation of food, where commodities are increasingly treated as abstract financial assets rather than essential human needs. In this environment, food prices can become dangerously decoupled from material reality. When pension funds and hedge funds pour billions into commodity index funds, price movements are often driven by high-frequency algorithmic trading and macroeconomic shifts—like interest rate changes or currency fluctuations—rather than actual harvest yields or soil conditions. This speculative pressure can create price bubbles that generate artificial scarcity, making basic staples unaffordable even when global silos are full. Essentially, the global food system has been partially transformed into a high-stakes casino, where the fluctuations on a screen in London or Chicago have immediate, life-altering consequences for a family in the Global South.

And then there is the legacy of colonial exploitation, where food imports to the Global South create structural vulnerabilities that can be weaponised by dominant powers, making food security a tool of geopolitical control.

Economics and politics are rarely all good, and they can combine to dramatically affect food prices and availability, which gives us the next premise.

Before Russia’s invasion of Ukraine in 2022, both countries were pivotal players in global agriculture. Together, they accounted for approximately 29% of global wheat exports and 75% of sunflower oil exports. Ukraine alone was responsible for exporting over 60 million tons of grain annually, making up about 10% of the global market.

The onset of the war led to immediate disruptions in these exports. Russia’s blockade of Ukrainian ports in the Black Sea and attacks on agricultural infrastructure severely hindered Ukraine’s ability to export grain. This blockade was not merely a byproduct of the conflict but was perceived by many international observers as a strategic move had profound effects on global food prices. According to the FAO Food Price Index, wheat prices increased by 69%, and corn prices rose by 36% within six months of the invasion. The deliberate targeting of Ukraine’s agricultural sector, combined with the blockade of exports, underscores the strategic nature of Russia’s actions, which have been described as weaponising food by various international entities.

By early 2026, the situation in the Black Sea had transitioned into a persistent, high-stakes logistical battle. While global food prices have stabilised significantly since the wheat price surge of 2022, the system remains fragile. Ukraine has restored its export capacity to nearly 50 million tons of grain annually by bypassing Russian blockades via a new, independent coastal corridor that has successfully moved over 100 million tons of cargo since late 2023. However, Russia continues to target Ukrainian port infrastructure and has made roughly 2 million hectares of fertile Ukrainian land uncultivable due to mines. Ultimately, the crisis has shifted from an immediate threat of global famine to a long-term struggle over agricultural dominance, where the physical destruction of infrastructure and land serves as a tool to permanently reshape global trade dependencies.

Financial speculation doesn’t just react to geopolitical disruption. It can magnify it through what economists call the financialisation of food commodities. Food is something to eat, but also a financial asset to hold.

In the U.S., the Commodity Futures Modernization Act of 2000 allowed for increased speculative investment in agricultural commodities. One result was the rise of commodity index funds, which bundle commodity futures, including food items, into investor-facing products. By the late 2000s, these funds had built large positions in agricultural futures markets, with estimates suggesting holdings worth over $200 billion.

When that much capital floods in, volatility stops being a side effect and starts to look like a feature. During the 2007–2008 food crisis, speculative positions in maize futures increased by approximately 1,900% between 2003 and March 2008. Commodity index fund holdings ballooned from $13 billion in 2003 to $317 billion by 2008. Food prices followed the heat, as wheat rose by 127% and rice by 170% between January 2005 and June 2008. The Food and Agriculture Organisation (FAO) estimated these increases pushed an additional 40 million people into hunger in 2008, raising the overall number of undernourished people to close to a billion.

The vulnerability of import-dependent nations creates additional leverage points for geopolitical manipulation. Countries in the Middle East and North Africa, which import 85% of their wheat, become hostage to the foreign policy decisions of supplier nations. When India banned wheat exports in 2022 due to domestic heatwaves, it immediately affected food security in over 40 countries, despite representing only 1% of global wheat trade.

These cascading effects disproportionately impact the world’s poorest populations, who spend 50-70% of their income on food compared to 10-15% spend in developed nations, making them extremely vulnerable to price shocks regardless of local food availability.

And all this is about to become more complex under a changing and increasingly unpredictable climate.

For many farmers, weather has gone from a manageable risk to an unpredictable adversary. The IPCC’s sobering projections of potential yield reductions of up to 25% by mid-century put numbers on what farmers worldwide already know in their bones. Traditional growing seasons are breaking down. Rainfall has turned erratic. What worked for generations no longer holds. In many places, the weather is not just hotter and more volatile. It is less legible in systems that rely on seasonal reliability. From European droughts decimating corn harvests to Indian heatwaves triggering wheat export bans, climate volatility is exposing the brittleness beneath our food system’s apparent abundance.

Both high-tech industrial agriculture and traditional subsistence farming prove vulnerable, but for opposite reasons. Industrial monocultures, optimised for efficiency under stable conditions, crash spectacularly during extreme events. Meanwhile, smallholder farmers, lacking access to climate information or adaptive technologies, suffer disproportionately from even modest climate deviations.

Most critically, water stress is redrawing the map of agriculture. California’s Central Valley once produced 40% of America’s fruits and vegetables. Now it is literally sinking as aquifers collapse. Meanwhile, the rainfall patterns that once anchored generations of African farmers have become so unreliable that entire growing seasons are being lost.

And this isn’t a single-study alarm bell. Multiple lines of research, from climatology, agricultural science, and hydrology, point to climate change as increasing agricultural unpredictability and exposing foundational vulnerabilities in both industrial and subsistence farming systems.

So far, we have considered the abundance in production and precarity from the socio-economic perspective of food, but there is another aspect that needs attention.

It is not just calories that matter in food security.

The conventional definition of food security is when all people, at all times, have physical and economic access to sufficient, safe and nutritious food. It sounds comprehensive, but it can be surprisingly difficult to measure.

Global monitoring still leans hard on the FAO’s Prevalence of Undernourishment (PoU), a national-level estimate of caloric deficiency built from statistical models, not direct measurement. The problem is what that choice hides. It smooths away within-country inequality, and it says nothing about micronutrients, diet quality, or whether the food system producing those calories is sustainable.

Meanwhile, hidden hunger is anything but hidden in its effects. Micronutrient deficiencies affect more than 2 billion people worldwide, with impaired cognitive development, weakened immunity, and higher mortality risk, especially for children and women of reproductive age.

And the calorie-first lens misses diet quality. When metrics treat food security as energy intake, they can miss the double burden of malnutrition—undernutrition and overweight or obesity coexisting in the same communities, families, or even individuals. The Lancet’s 2020 series on the double burden of malnutrition suggests you don’t solve modern malnutrition with a single-axis measure, and you don’t fix it with siloed interventions.

India exemplifies this paradox.

Despite significant progress in increasing caloric availability, the country continues to grapple with high rates of child malnutrition. According to the 2025 Global Hunger Index and the latest Joint Malnutrition Estimates, approximately 33% of Indian children are stunted, 19% are wasted (the second-highest rate in the world), and 32% remain underweight. These issues are largely attributed to poor diet quality and micronutrient deficiencies, rather than insufficient calorie intake.

Indigenous communities worldwide maintain traditional food systems that often sit outside formal market channels. Under conventional assessments, they can be misclassified as food insecure because the metrics are built to see purchased calories, not practiced provisioning. But research points in the opposite direction on outcomes. Traditional food systems can deliver superior nutrition and stronger environmental sustainability. Studies have shown that Indigenous food systems contribute meaningfully to biodiversity conservation and support diverse, nutrient-rich diets, benefits that don’t always register in market-centred measures, even when they’re doing the work of real security.

When policy fails to recognise the value of food sovereignty and traditional food practices, it can end up doing quiet damage. It undermines the very systems that build resilience, preserve culture, and protect ecological health. That’s why food sovereignty has to be integrated into food security assessments if we want a more holistic picture of global nutrition and sustainability challenges.

Mainstream policy tends to stay wedded to incremental reform. In food, that usually means smoother supply chains, new technologies, and wider market access while keeping global trade and industrial agriculture intact. More of the same, with a few tweaks.

But with a global population already over 8 billion and growing at 8,000+ people per hour, slight efficiency gains becomes a high-risk bet in a system we already know is precarious. Real food security will require more radical moves. That could mean a fundamental reduction in resource consumption by wealthy populations to make space for equitable access globally. It could also mean new, locally adapted production systems built for specific ecological and cultural contexts, systems that reduce dependence on fragile global networks.

Whatever the approach, a rethink is not just academic. It means that people will starve or not, that children will be developmentally impaired or not, and so we get to the last premise for precarious plenty.

Cuba’s agricultural transformation after the Soviet Union’s collapse is a rare natural experiment in rapid food-system reorganisation. When it lost 80% of its agricultural inputs, Cuba pivoted toward agroecology, urban agriculture, and local food networks. The shift initially reduced total production. Over time, it improved food security by widening dietary diversity, lowering import dependence, and building local resilience.

By 2020, Cuba had shown that a country could reach food security levels comparable to high-income nations without the high-energy, high-input costs of industrial farming. A core mechanism was the Organopónicos system of intensive urban organic gardens that turned vacant city lots into productive hubs, supplying up to 90% of the fresh produce consumed in Havana. This model cut the food miles and packaging waste embedded in globalised supply chains, helping Cuba maintain a high Human Development Index (HDI) while also having one of the smallest per-capita environmental footprints in the world. In an era of climate volatility, the decentralised architecture became a case study for bioregionalism, showing that caloric self-sufficiency can be decoupled from fossil fuel dependency.

But that resilience has been tested hard since the 2020 milestone. The agro-ecological foundations remain a gold standard for sustainability, yet tightened trade sanctions, the post-pandemic economic slump, and currency inflation have produced a new era of food tightness. Researchers increasingly read the Cuban model less as a static success and more as a live lesson in the fragility of sovereignty. You can master low-impact farming techniques, and still have daily stability at the kitchen table hinge on the wider economic ecosystem, including access to machinery parts and global trade.

Agro-ecological transitions are one of the few places where the story isn’t simple yield loss dressed up as virtue. The evidence says ecological approaches can sit close to industrial productivity, and sometimes push past it, while doing other work at the same time. Lauren Ponisio and colleagues pulled together 115 studies and more than 1,000 observations comparing organic and conventional yields. On average, organic yields came in about 19.2% lower. That’s the headline number. The gap shrinks hard when you stop treating organic as a single practice and start looking at system design. Diversification via multi-cropping and crop rotations reduces the difference to as little as 8–9%.

And then you get the other ledger entries. Organic systems in that synthesis were associated with enhanced biodiversity, improved soil fertility, and greater resilience to climate extremes. Yield is one output.

Catherine Badgley and colleagues work is often cited because it tackles the question people actually care about. Can agro-ecological farming feed everyone, or is it a boutique project with good marketing? Organic agriculture could produce enough food to meet current global caloric needs. That claim is built on 293 yield ratios, although the yield story is not uniform. The analysis suggests organic methods, especially in developing countries, can match or even surpass conventional yields.

Feeding the world is not a yield-only problem. The paper leans on two other variables that sit outside the farm gate. Reduced food waste and more equitable food distribution are the levers that make the calories real. So yes, yields can be slightly lower in organic and agro-ecological systems. But the argument is that the system performs on more than one axis, and that the binding constraints are as much logistical and political as agronomic. That is what makes these approaches look less like an alternative and more like a viable path.

Food sovereignty is what you get when people stop treating food as a commodity stream and start treating it as a social system. It’s not branding or calories at all, for the people eating the food it is culture. The Slow Food movement’s Terra Madre network is a useful signal here. Over 5,000 food communities maintaining traditional varieties and practices is a living portfolio of nutrition, identity, and locally tested know-how.

Miguel Altieri and Victor Toledo push on the measurement problem that keeps tripping these debates. If you grade systems by single-crop yields, industrial models look clean and dominant. If you grade by total nutritional output per hectare, smallholder and agro-ecological systems often come out stronger because diversity is doing more work than the spreadsheet admits. The unit of success changes the story.

Kerala’s shift toward food sovereignty through community-supported agriculture and traditional crop diversity points to the same logic at the state scale. High food security levels in India, paired with ecological sustainability, is what performance looks like when you include resilience and local fit.

None of this means transitions are painless. Shifting away from industrial systems can create temporary food security disruptions if it’s done poorly or rushed because supply chains, incentives, and policy settings were built for the old machine. The change has to be managed, and it has to be supported.

Decentralised, ecologically based food systems can win on multiple dimensions. But the win depends on how you run the handover.

Food insecurity is a systems problem, so it punishes single-variable fixes. That’s precisely where mindful scepticism keeps you from mistaking a louder story for a truer one.

Feed the world by producing more works as a slogan. It also hides the deeper reality that we already produce enough food. The failure is in how we’ve organised the system of rules, flows, and incentives that reliably block equitable access.

What struck me most while researching food security for this essay and our Mindful Sceptic Guide to Food Security is how consistently the evidence supports premises. Each one holds up under scrutiny, which is both validating and sobering in light of our global predicament. The research reveals food insecurity as a perfect example of what happens when we mistake complex problems that require systemic transformation for complicated problems that can be solved with more resources and better management.

By treating food security as merely complicated, policymakers risk privileging short-term, supply-side solutions that reinforce industrial agriculture and deepen ecological degradation.

Such policy tweaks and a free-market approach might provide occasional fixes, even as they exacerbate inequality, weaken smallholder resilience, and increase the food system’s vulnerability to shocks. But we face a systemic challenge with food security.

Precarious plenty is what interconnectivity looks like when it’s live. Small disruptions don’t stay small. They move through the system, hit a feedback loop, and come back bigger.

A drought in India becomes a price shock in Bangladesh. A cyberattack on meat processors ripples through global supply chains. Financial speculation turns food from sustenance into a commodity. None of these are isolated events. They are couplings. That’s also why this problem is so difficult to hold in mind. Our cognitive architecture evolved to track immediate, local threats.

Global food systems are the opposite. They are abstract, distributed, and tightly linked. The danger arrives by cascade, not by approach.

We produce enough food, but fail to distribute it to everyone, waste a significant amount, and pay little attention to nutrition. Such a situation is fixable as a complicated problem if that were all there was to it—a solvable challenge with a bit of resource redistribution and political courage.

But the precarity is acute.

The system that generates all this food is dependent on fossil energy inputs and is degrading the soil, which reduces the resilience of production just as the weather gets more unpredictable and intense. In other words, we have a complex problem with numerous interconnected parts that involve feedback loops, emergent behaviours, and nonlinearity.

Recognising food security as a complex problem invites more adaptive, participatory, and resilient approaches, such as agroecology, local food sovereignty movements, and integrated land-use planning. These strategies embrace uncertainty, diversity, and co-evolution, which are hallmarks of systemic transformation rather than linear improvement.

Notes & Sources (for the curious)

Scale, calories, and hunger (the “paradox”)

• Global population level + growth rate — UN DESA World Population Prospects (2024); World Bank population data (2025)

• Calories available per person + hunger/food insecurity counts — FAO State of Food Security (SOFI) (2025 edition); FAO FAOSTAT Food Balances/SDG 2 indicators (2023)

• “Enough food, but…” distribution/access framing — Amartya Sen Poverty and Famines (1981); FAO SOFI (method sections, 2025 edition)

Production, waste, and what “availability” hides

• Global crop/meat production + ag value added — FAO FAOSTAT (2023); World Bank “Agriculture, forestry, and fishing, value added” (2024)

• Food loss/waste magnitude + definitions — UNEP Food Waste Index (2024); FAO food loss & waste framework / SOFA report on food loss & waste (2024)

Supply-chain brittleness and concentration

• Choke points and trade disruption (e.g., Suez/Ever Given) — UNCTAD maritime transport / choke points briefings (2021); Lloyd’s List / Suez Canal Authority summaries (2021)

• Corporate concentration in seeds/agrochemicals/grain trade — ETC Group or IPES-Food consolidation reports (2024); UNCTAD competition/agri-food market power reports (2025)

• Cyber risk to food processing (e.g., JBS incident) — US DOJ/FBI or CISA advisories/incident summaries (2021); company filings/earnings statements (2021)

Geopolitics and price volatility

• Ukraine war impacts on grain/oil exports + corridors/attacks — FAO “Food Outlook” / trade monitoring (2022–2026); UN/OCHA or World Bank Ukraine agriculture updates (latest)

• 2007–08 food crisis drivers (biofuels, trade restrictions, speculation—contested) — World Bank World Development Report 2008 (food/ag chapters); FAO/OECD price volatility syntheses (post-2008)

• Import dependence + vulnerability (MENA wheat; export bans like India 2022) — FAO trade statistics (2022); IFPRI Food Policy Reports / export restriction trackers (2022)

Climate, water stress, and nutrition quality

• Yield risk under climate change — IPCC AR6 WGII (2022, food/land chapters); IPCC SRCCL (2019)

• Groundwater depletion/ag regions (e.g., Central Valley subsidence) — USGS groundwater + subsidence publications (2018); California DWR SGMA/aquifer reports (2025)

• “Calories aren’t nutrition”: PoU limits, micronutrients, double burden — FAO PoU methodology notes (2024); WHO/UNICEF/World Bank Joint Child Malnutrition Estimates (2025); The Lancet double-burden series (2020)

Agroecology, sovereignty, and “system redesign”

• Organic/agroecology yield gaps + diversification narrowing — Ponisio et al. (2018); IPES-Food agroecology syntheses (2022)

• “Can organic feed the world?” (and what assumptions matter) — Badgley et al. (2007); FAO agroecology knowledge platform / syntheses (2025)

• Food sovereignty + smallholder performance framing — Altieri & Toledo (2011); HLPE (CFS) reports on food systems/inequality/agroecology (2019)

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Primary Sources

Altieri, M. A., & Toledo, V. M. (2011). The agroecological revolution in Latin America: Rescuing nature, ensuring food sovereignty and empowering peasants. Agroecology and Sustainable Food Systems, 35(4), 587-612.

Badgley, C., Moghtader, J., Quintero, E., Zakem, E., Chappell, M. J., Avilés-Vázquez, K., ... & Perfecto, I. (2007). Organic agriculture and the global food supply. Renewable Agriculture and Food Systems, 22(2), 86-108.

Ponisio, L. C., M’Gonigle, L. K., Mace, K. C., Palomino, J., de Valpine, P., & Kremen, C. (2018). Diversification practices reduce organic to conventional yield gap. Nature Sustainability, 1(5), 229-235.

Sen, A. (1981). Poverty and famines: An essay on entitlement and deprivation. Oxford University Press.

A Systems Spine turns Insight Vault fragments into a coherent sequence. Each one starts with posture, passes through constraints and incentives, and ends with practical implications. The aim is legibility under pressure. Track ecology, energy, mass-balance, and incentives and the world stops looking so mysterious.

Conservation often talks as if there is a stable, correct version of nature that we can restore if we just try hard enough. That idea feels grounding, but it creates strategic mistakes because ecology is dynamic. It moves. Disturbance is normal. Extinction is not an anomaly but integral to nature.

When you hold a fantasy baseline of today, yesterday or pre-1788, every change reads as degradation, which pushes policy toward symbolic purity rather than functional outcomes.

This System Spine linking six Mindful Sceptic Insights offers a reframe of conservation to one closer to the way nature actually works.

Let’s start with the status quo.

Human appropriation now shapes most ecosystems, so effective conservation must work inside novel, human influenced ecologies rather than aiming to preserve pristine conditions.

Protection still matters, but the category error is thinking protection restores old dynamics by itself. Energy flows, species assemblages, and disturbance patterns have already been rewired by land use, invasive species, and climate. The opposed orthodoxy says expanding protected areas preserves a stable nature, but the system you are protecting is already in motion. It’s gone.

Treat change as the default state, not the exception.

Ecological systems are a moving target, so management that assumes a stable balance will miss the real dynamics that determine persistence and function.

Succession, fire regimes, flood cycles, and species interactions shift across seasons and decades, even without human pressure. Add modern drivers and the variance grows, which makes static targets brittle at best.

The orthodoxy treats nature as tending toward equilibrium, but many systems are defined by disturbance and recovery rather than steady state.

And if disturbance is normal, then disruption can sometimes be a conservation tool rather than a failure.

In disturbance-adapted ecosystems, periodic disruption can sustain biodiversity and function, so strict suppression of disturbance may degrade the system you are trying to protect.

Fire, grazing, storms, and episodic stressors can reset competitive hierarchies and maintain habitat mosaics. Removing disturbance often simplifies the landscape, accumulates fuel loads, and then produces larger, more destructive events later. The orthodoxy says hands-off preservation should hold a baseline, but in many places hands-off is actually disturbance-off, which is a different intervention altogether.

Instead, if we see ecosystems as dynamic, it is easy to acknowledge that loss and turnover are part of ecology, not a failure of policy.

Extinction is a normal feature of evolution, so conservation should prioritise maintaining viable systems and processes rather than treating every loss as equally preventable.

This is not permission for indifference nor denial that some preservation effort is essential. The point is that the goal cannot be zero change, and certainly not zero extinction.

The practical question is which extinctions are being accelerated by human drivers, and which functions are being removed from ecosystems in ways that reduce resilience. The orthodoxy implies preventing extinctions is inherently necessary and always feasible, but feasibility depends on drivers, scale, and trade-offs.

Once you drop the idea of stable outcomes, the obsession with a single historical snapshot becomes harder to defend.

Restoration targets that aim to recreate a specific historical ecology fail because ecosystems have moved on and the conditions that produced the old state cannot be reassembled.

Historical reference points can guide learning, but they are not a recipe. Climate, species pools, and disturbance regimes have changed, and so have the surrounding land uses that constrain recolonisation and connectivity. The orthodoxy says sufficient effort can return ecosystems to a past state, but effort cannot recreate vanished boundary conditions.

And if the past is not fully recoverable, conservation should emphasise the species and functions that keep systems reliable now.

Ecosystem reliability depends largely on abundant species that deliver everyday functions, so protecting common species can matter more than spotlighting rarity alone.

Rare species can be important, but common species often carry the bulk of pollination, decomposition, soil formation, and food web stability. When common species decline, the system’s operating capacity drops and recovery becomes harder, even if the rare species are held in refuges. The orthodoxy treats saving rare species as the main route to protection, but the functions are usually delivered by the ordinary and the widespread.

This brings us to the strategic shift… from preserving an imagined baseline to maintaining function through change.

Conclusion

Nature changes, disturbance often sustains it, and extinction is part of the background process even in healthy ecologies. Historical baselines still have value, but treating a particular snapshot as sacred produces mis-aimed effort and moralised disappointment.

The pragmatic move is to reframe success as functional reliability under shifting conditions. Ask what processes must keep running, what disturbances must be allowed, and which common species carry the load. Then design interventions that can adapt without pretending the past can be reinstalled.

Path dependence is the quiet driver here. Once human influence is pervasive, conservation becomes governance inside a moving system, not protection of a frozen one.

The hinge line is simple. If your target is a fantasy baseline, your strategy will be symbolic.

If your target is function, your strategy can work.

Coming soon

Curated Insights, deeper Explainers, monthly live catchups, and a moderated forum for thinking clearly about a humane population contraction—without coercion, denial, or collapse.

Western education was calibrated for a story of continuous growth and narrowing specialisation. Energy shocks, resource constraints, technological upheaval and sever geopolitical instability are breaking that calibration. More useful learning of systems thinking, emotional resilience, and ethical reasoning can be taught at any level, but getting there requires structural redesign. AI is commodifying technical knowledge fast, which makes education’s real job the human capacities machines find difficult, especially moral judgement and evaluation under uncertainty. The hard part is that reform requires abandoning a paradigm built for a world that no longer exists.

Back in 1987, I was a usurper.

Standing in front of the class I had taken as a student two years earlier, I was bright-eyed with a bushy tail of enthusiasm, and immediately became an advocate for radical student-centred learning. Without formal training, and before I finished my PhD, I was teaching ecology to undergraduates.

As a novice lecturer, I abandoned structured lessons for open-ended inquiry, breaking educational rules by asking students to design experiments from scratch with minimal context and relying only on their wits. I intuitively knew, and then demonstrated in the ten weeks that the students spent observing woodlice in various combinations of contrived conditions, that curiosity-driven learning creates a more profound understanding than traditional, structured teaching ever could. I was so excited that I described the experience in my first peer-reviewed scientific paper, published in the Journal of Biological Education.

Dangerfield J.M., Boar R.R., Montgomery P.S. (1987) Teaching ecology to undergraduates: a practical course using projects. Journal of Biological Education 21(4): 251-258

I went on to teach ecology and biodiversity at three other universities before ending my academic career prematurely to try my hand at ecological advice in the real world of commerce and consulting.

And that was a lot harder.

What my naive enthusiasm gave me in the ivory tower did little for the hard-nosed, conservative and siloed people who were expecting me to advise them on science. These good folk were not interested in radical, innovative, or self-centred ideas, especially because free thinking invariably impeded their career advancement and put their comfort at risk. They also balked at having to think for themselves.

Most only gave me the time of day because their company or government agency had an obligation to know some ecological detail or to gather some environmental data for compliance reporting. Naturally, I explained to them how such knowledge benefited the bottom line in terms of cost savings, risk reduction, and a competitive edge in a crowded market, but this barely registered.

Why was this? These environmental officers, sustainability managers, policy experts, and analysts were highly educated and intelligent individuals. Many had completed a modern education system that conventional wisdom told me was designed to prepare individuals to participate productively in society by gaining knowledge, developing skills, and cultivating responsible citizenship.

What had the education system done to them? Perhaps, not enough.

The thing is, and now more than ever, education isn’t mainly about transferring knowledge; it’s about building the human capacities we’ll need to navigate a world that’s getting less predictable.

And so we arrive at the first premise…

Modern education was built during a strange, temporary boom time. Fossil fuels let economies expand without hitting the usual brakes, technology kept patching over scarcity, and the environmental bill was treated as someone else’s problem. So we trained students for a world that could keep growing forever.

That logic sits inside the whole pipeline from school curricula and university programs to vocational training. The job is to produce roles that keep the growth machine fed through ever-increasing specialisation. Engineers build more infrastructure, finance manages ever-larger portfolios, marketing turns attention into demand. The specialised expert became the ideal.

Ironically, the marketers, finance people, engineers, and tech bros this system was built for are also the easiest to swap out. When complexity can be outsourced to LLMs, specialisation stops looking like security.

But initially, specialism wasn’t easy.

After thousands of years of accumulation, a great depth of knowledge had developed across many subjects. Plumbing to the bottom of them was difficult unless you learned a great deal about a little. You specialised at school, and when you reached higher education, you found academics divided into increasingly narrow disciplines, each with its vocabulary, methodologies, and perspectives that you had to learn just to join in. You went to universities organised into departments that rarely communicated with each other. And just like in school, college assessment systems rewarded depth of knowledge in particular subjects rather than understanding connections between fields.

I will spare you the pain I experienced when, later in my career, I briefly returned to academia as an adjunct professor at a major Australian university, where the worst aspects of all the above gave me, an outsider with weird ideas, the cold shoulder in the corridor.

Funnelling students into increasingly narrow fields of expertise, through standardised testing, rewards depth over breadth and predictability over adaptability, assuming a future in which technical mastery and career stability remain viable goals. This was the world of my parents, which emerged from the world wars into a period of rapid economic expansion in the West. It was also my world, and that’s why my attempt at student-centred learning was radical, even for a modern university with the motto Do Different.

How does specialisation that was useful for a time stack up today?

The accelerating pace of technological change, climate disruption, geopolitical instability, and economic volatility are reshaping the nature of work and life, not to mention the sheer volume of candidates for every role. Jobs are being automated, industries are being disrupted, and traditional career paths are fragmenting. The core skills most needed today, from critical thinking, adaptability, collaborative problem-solving, to emotional resilience, are not consistently emphasised in conventional schooling.

Likewise, systems thinking, which enables individuals to understand and respond to complex, interconnected challenges, remains a peripheral rather than central component of most curricula.

All this means that the premise generally holds. Preparation assumes a post-war boom carries on indefinitely.

Current educational systems are primarily designed around assumptions of continued economic growth, technological advancement, and occupational specialisation. Only this is not the future, which is already uncertain, complex, and rapidly shifting.

The assumption behind the premise is wrong. The future is not one of continuous growth and endless specialisation into narrow silos, which prompts the second premise…

It’s trite, but true. The future will be nothing like today or yesterday. Yet, I present it here as a premise because it is worth the confirmation that future generations will face novel challenges unprecedented in human history.

While humans have always adapted to change, declining EROI, the breaching of multiple planetary boundaries, technological disruption, and social transformations will be disruptive at best, and more likely catastrophic to the status quo. Young people will need new technical skills and enhanced capacities in systems thinking, adaptability, and psychological resilience, which our current educational models typically undervalue.

The reality is that 8 billion people are still increasing at 8,000+ per hour, and already face genuine biophysical constraints at a global scale. Unlike previous generations who could expand into untapped resources and energy, tomorrow’s adults will contend with diminishing conventional energy returns, accelerating climate instability, and biodiversity decline that combine to undermine ecosystem services we’ve taken for granted.

The food system is instructive.

Today’s students study agriculture primarily as a technological domain, learning to maximise yields through industrial methods. But tomorrow’s farmers will operate in a world where nitrogen fertiliser is increasingly expensive, phosphorus supplies are dwindling, climate patterns are destabilised, and pollinators are disappearing. The tractors will not run on diesel and the Haber-Bosch fertiliser production process will decline, forcing much rapid innovation in intensive agriculture, which will have to persist at least through a demographic transition. Understanding and addressing this situation requires fundamentally different skills, not just sustainable farming techniques, but also all the complex ecological relationships and resilience strategies necessary for highly variable conditions.

And it is happening already.

In 2025, Bolivia’s agricultural sector grappled with a severe diesel fuel crisis that threatened to undermine food security across the region. In Santa Cruz, the country’s agricultural heartland, farmers received only 700,000 litres of diesel daily—barely 21% of the 3.3 million litres needed for normal operations. This dramatic shortfall created kilometre-long queues at fuel stations, with farmers sometimes waiting days for limited supplies.

The 2025 Bolivian diesel crisis serves as a brutal energy reality check, marking the definitive end of the nation’s era of subsidised, cheap growth. What began as a paralysing diesel shortage caused by depleted foreign reserves and falling gas production, evolved by early 2026 into a structural cost-of-living crisis following the government’s decision to end long-standing fuel subsidies. While this shock therapy successfully restored fuel availability by allowing market prices to take hold, it replaced kilometre-long queues with massive inflation and razor-thin agricultural margins. Bolivia has essentially transitioned from a system defined by waiting in line to one defined by paying the true price, forcing its economy to finally reckon with the high cost of energy that it can no longer afford to externalise. And I suspect they didn’t teach any of this in school.

Challenges usually get back to energy, but there is also the rapid technological evolution restructuring how we work, communicate, and organise society.

When I began teaching at university, computers were dumb terminals connected to a mainframe. The first desktop word processors only arrived in the last year of my PhD. Today’s students not only carry supercomputers in their pockets that can access most of human knowledge, but they also come with an AI assistant that can do all the heavy lifting.

The traditional education approach views technology as merely a skill set to master, rather than a force reshaping cognition and social structures. Today’s five-year-olds will graduate into a world where artificial intelligence has transformed knowledge work, virtual and augmented reality have blurred physical and digital realms, and biotechnology has redefined our relationship with natural systems. A virtual world might be the only safe one.

It’s happened before, perspective has merit. People have always needed to communicate effectively, solve problems collectively, and adapt to changing circumstances. The Industrial Revolution dramatically transformed society, yet humans adjusted. We may overstate the uniqueness of current challenges.

Critical thinking, creativity, and social intelligence have always been valuable because the capacity to find meaning amid difficulty remains a fundamental human capability, regardless of the technological or environmental context. Yet most educational models implicitly assume a stable, predictable future in which knowledge accumulates linearly, and career paths follow predictable trajectories. Students are taught to master existing knowledge rather than navigate profound uncertainty.

Future-relevant education would foster capacities for psychological flexibility, comfort with ambiguity, and the ability to find purpose amid changing circumstances. These aren’t soft, nice-to-have skills, but essential foundations for functioning in a world of discontinuity.

Without spending days assessing the literature or naming every study, I will establish this premise…

When I wrote about my experience as a novice ecology lecturer for the Mindful Sceptic newsletter, a commenter put me onto the studio school model, an innovative educational approach that integrates academic learning with real-world work experiences through project-based learning.

Studio schools are deliberately small (typically around 300 students), emphasising personalised learning, strong relationships between teachers and students, and the integration of academic subjects with hands-on, real-world projects. Exactly the training for innovative problem-solving we are going to need. The curriculum combines core qualifications in English, maths, and science with applied learning and extended work placements that are central to the school experience rather than supplementary.

According to the latest available data for 2025, 27 Studio Schools operated in England. These schools had a combined capacity of approximately 8,100 students. However, enrolment figures indicate that they were operating at about 54% capacity. Given that there are around 10 million pupils in schools in England, students in Studio Schools represent approximately 0.05% of the total student population. They are training a tiny fraction of each cohort in the systems thinking needed.

Similarly, Montessori education, which emphasises self-directed learning and mixed-age classrooms, is primarily offered at the early years and primary levels in the UK. There were about 700 Montessori schools and nurseries nationwide in 2025, serving an estimated 30,590 children. Montessori students constitute a similarly tiny 0.3% of the student population.

So what about the premise?

It is mainly true. Educational reforms over the past several decades have been modest. Coding, climate science, and digital literacy classes might have entered schools, but without fundamentally altering how education is structured or delivered. What modernisation there is has been within existing institutional frameworks that emphasise standardised assessment, age-based progression, and subject silos. And while curricula evolve incrementally, the overarching structure often prioritises discrete knowledge acquisition over integrative, transdisciplinary thinking.

This is a critical limitation. We are not teaching kids to think.

But we could.

Research demonstrates that systems thinking is not only teachable but also deeply engaging for students from early primary school through to tertiary education. Project-based learning, inquiry-based science, and interdisciplinary thematic units have demonstrated that even young learners can grasp systems concepts, such as cause-and-effect chains, interdependence, and leverage points, especially when connected to real-world contexts like ecosystems, communities, or global challenges.

And if a pushy postgrad usurper can teach it in the 1980s, why not trained professionals in the 2020s?

Maybe it’s structural inertia, or it’s policy constraints, or it’s something more nefarious. Either way, education systems still default to linear instruction, content coverage, and individual performance metrics. And those defaults actively fight the complex, relational, often collaborative work that systems thinking requires.

A structural shift would mean changing more than the wallpaper. It would mean school organisation, teacher training, assessment strategies, curriculum integration and a host of other structural changes. The stuff that decides what gets taught, what gets rewarded, and what gets dropped when time runs out.

Until this level of reconstruction happens, most reform will keep arriving as add-ons. Well-intentioned, perhaps, but ultimately piecemeal.

But it is possible.

Finland, Singapore, EL Education offer three different contexts for a change in the educational structure towards systems thinking.

Finland does it by breaking the silo. Phenomenon-based learning starts with a real-world topic and has students examine it through multiple disciplinary lenses—science, humanities, arts—so the interdependencies are the point. Teachers have high autonomy and professional trust, which lets them adapt to the classroom in front of them. Assessment follows suit, leaning on formative feedback over high-stakes testing, so depth wins over memory.

Singapore approaches it through science and technology, with systems design thinking embedded in the national curriculum. The Applied Learning Programme (ALP) brings in interdisciplinary challenges of sustainability, robotics, and health to build problem framing, stakeholder analysis, iteration, and evaluation. Teacher development and partnerships with universities and industry help anchor the shift, connecting classroom learning to broader social and ecological systems.

EL Education in the US makes the project the unit of learning. Each project uses long, interdisciplinary expeditions on complex topics, often ending in public presentations or real-world products. The structure rewards curiosity, perspective-taking, and feedback loops, guided by ten design principles, including the primacy of self-discovery and the having of wonderful ideas. Those are systems thinking muscles, and also happen to be solid, mindful sceptic skills.

Schools in the EL network also adopt collaborative leadership models and invest heavily in teacher training to sustain structural alignment with their educational philosophy.

These innovations from around the world are far more ambitious and successful than my little woodlouse practical. The question isn’t whether systems thinking can be taught at all levels because the evidence confirms it can. The real question is whether we will transform educational structures that no longer serve a world of accelerating complexity.

What if modern schooling, even these reformed versions, systematically undercut the cognitive flexibility it claims to build?

In many documented hunter-gatherer societies, early childhood learning was all about autonomy and exploration. Ethnographic studies of the !Kung in Southern Africa, the Hadza in Tanzania, and various Indigenous Australian groups describe young children with wide latitude to play, mimic adults, and mix with peers without formal instruction. That kind of free-range environment let them develop cognitive, social, and environmental skills through immersion in community and landscape.

Then, somewhere between ages 6 and 8, many children started taking on more responsibility through tasks that echoed adult roles. Not in the structured way we think of modern apprenticeships, but through assisting older siblings or parents in gathering, hunting, tool-making, or caregiving. It was informal learning-by-doing but woven into the daily rhythms of life. And a key feature was instructional restraint. Adults didn’t typically give direct instruction; they modelled tasks and let children learn through observation and practice.

Whilst all this sounds like a romantic notion and not transferable to the modern day, it does tell us that we don’t have to be so dependent on institutional validation.

Our Western educational pipeline, from elementary school through high school, creates a dependency on institutional validation and external direction, precisely what you don’t want in a world requiring rapid adaptation.

So, what is the reimagining? What design of teaching will prepare youngsters to participate productively in society? What knowledge, skills, responsible citizenship, and resilience education will they need to cope with unprecedented change?

Perhaps the most meaningful reimagining of education centres on cultivating emotional resilience and ethical reasoning, but before we go there, there is the elephant to consider… Artificial Intelligence.

The accelerating capabilities of AI to absorb, synthesise, and deliver technical knowledge is the greatest challenge to traditional education for generations. Content is condensed on a voice command; you don’t need to remember it. From coding assistance to personalised tutoring in mathematics or science, AI tools are making technical knowledge more accessible and commodified. Education must go beyond training students on what to know and focus instead on how to think, relate, and act. In short, how to evaluate. These skills are more challenging to automate and are even more critical for human flourishing.

AI is excellent at instruction-as-delivery, like explaining concepts in ten different ways, giving unlimited practice, and providing instant feedback without embarrassment or delay. It can compress whole technical domains into something a motivated student can work through quickly. But it is unreliable at the parts of education that are not technical, such as resolving value conflicts, earning epistemic trust, and navigating messy social coordination where legitimacy and accountability matter. It can generate reasons, but it can’t authorise them. It can propose answers, but it can’t carry responsibility for what those answers do to a real community. So AI is a really handy tutor. Just don’t outsource judgement.

Emotional resilience matters here, too.

It’s what lets learners stay functional in the face of uncertainty, failure, and complexity. And ethical reasoning is the partner skill. Ambiguous, value-laden situations show up all the time in a world increasingly shaped by thinking algorithms and need considered decisions.

Traditionally, education runs top-down, as older generations pass wisdom and skills to younger ones. But in periods of rapid change, that flow isn’t one-way. Younger generations often carry real insight, especially around technology, digital culture, and emerging worldviews. A reciprocal model of learning builds mutual respect, speeds adaptation, and strengthens social cohesion. Older generations contribute historical perspective, contextual wisdom, and moral frameworks; younger ones bring agility, novel thinking, and intuitive familiarity with disruptive technologies.

As AI reshapes work and knowledge, schools and universities that prioritise dialogue, empathy, and cross-generational exchange are better positioned to cultivate systems-aware, emotionally grounded citizens. The goal becomes less about outpacing machines and more about doubling down on the human strengths machines can’t replicate.

The Wisdom Exchange Project (UK/US) is one example. School-aged students and older adults (often retirees) collaborate on shared inquiries into life experience, ethics, and community history. Sessions include storytelling, mutual interviews, and collaborative problem-solving around ethical dilemmas or contemporary challenges. The emphasis isn’t just elders teaching youth; it’s mutual enrichment as students offer digital skills or emerging cultural insights in return. Emotional resilience develops through reflective dialogue and real-world role modelling, while ethical reasoning deepens through multigenerational perspectives on values, justice, and responsibility.

Operating in several Australian states, Generation Connect is an intergenerational program that pairs high school students with elderly citizens in aged care facilities. Originally designed to reduce loneliness, it has evolved into a reciprocal learning platform. Students often train older adults in digital literacy, while elders share life experiences and coping strategies. Joint projects, such as digital biographies or oral history archives, help students build empathy, patience, and a more profound understanding of the ethical issues surrounding ageing, memory, and dignity. Teachers report measurable improvements in students’ emotional awareness and communication skills. The ABC documentary series Old People’s Home for 4-Year-Olds, and Old People's Home For Teenagers, brought the idea to a broader audience, bringing together elderly residents of retirement communities with preschool-aged children to explore the transformative power of intergenerational relationships.

The Center for Human Technology Education Initiatives (Global/US-led) backs school-based programs that teach Digital Wisdom by combining ethics, media literacy, and emotional intelligence in the age of AI. Their curriculum includes modules on moral decision-making in tech design, digital empathy, and understanding feedback loops in social platforms. Some pilot programs add intergenerational roundtables, bringing students and adults together to reflect on the moral implications of technology use. That blend of systems thinking, and ethical inquiry shows how different generations can co-create norms for emerging challenges, reinforcing emotional resilience and shared responsibility.

Traditional education assumes knowledge moves one way, from elders to youth. ‘Teacher knows best’ made sense when change was slow and experience reliably predicted the next set of challenges. Why not learn from the wise elders? Older generations do carry hard-won wisdom about enduring human problems, historical patterns, and ethical frameworks shaped through lived experience.

But once core literacy, numeracy, and communication skills are absorbed, the advantage can flip in periods of rapid change, when the future isn’t predictable from the past. Younger generations often move faster through emerging technological landscapes, social reorganisations, and shifting environmental conditions than their elders. Here, Gran, your phone does this now.

Transformation thrives in the spaces where generations connect and wisdom flows in multiple directions. When we create environments where elders and youth solve authentic problems, whether nurturing community gardens or navigating digital landscapes, we tap into a natural exchange of perspectives that enriches everyone involved.

An intergenerational approach is compelling.

What all this boils down to is this. Education’s most profound purpose isn’t information transfer but cultivating the reflective capacity to engage meaningfully with an uncertain future.

This isn’t simply adding emotional skills to existing curricula or creating occasional intergenerational exchanges. It’s reconceiving education’s fundamental purpose and process, shifting from knowledge acquisition to capacity development, from hierarchical transmission to ecological exchange, and from predetermined outcomes to emergent understanding.

And how to do this?

The Mindful Sceptic framework, which combines curiosity, critical thinking, and awareness, is a good starting point because it strikes a balance between unflinching realism about current challenges and openness to creative possibilities. It acknowledges the evolutionary drivers that shape human behaviour and honours both traditional wisdom and emerging knowledge rather than privileging either. Such is a sceptic.

Most importantly, a mindful sceptic recognises that resilience emerges from relationships rather than isolation, diversity rather than uniformity, and adaptation rather than rigid preservation in complex living systems—whether ecosystems, social systems, or learning communities.

What I know is that, back in the 1980s, my undergraduates didn’t seem to mind that I was a usurper and gave me strong positive responses in student appraisal. And I kept it up throughout my career, including an equally audacious biodiversity class. Macquarie University honoured me with an Outstanding Teacher Award, yet I still have no formal teacher training.

Dangerfield, J. M., & Pik, A. J. (1999). The educational value of an all taxa biodiversity inventory. Journal of Biological Education, 33(2), 76-83.

Many are wiser, more experienced than I in pedagogy and may not like this last, audacious premise.

Education is how a society trains itself. It’s the primary mechanism for preparing people to participate in civic life, economic systems, and collective decision-making. The problem is that the current model is industrial-era by design, optimised for economic expansion, specialisation, and predictable career pathways. It is drifting out of alignment with the world it’s supposed to serve, even the one of command and control.

What we need instead is education that builds the human capacities machines can’t easily replicate: evaluation, systems thinking, moral judgment, collective reasoning, emotional resilience, and the ability to navigate uncertainty.

If education systems don’t make this deep structural shift, then inequality widens as elites adapt and others get left behind. Trust in institutions erodes. Politics destabilises as disillusioned citizens lose faith in the future. And our ability to solve shared global challenges, like climate change and ethical AI governance, starts to break down.

Those aren’t just educational outcomes. They’re existential because they hit the social, environmental, and technological systems human survival depends on.

Education is foundational. It’s intensely personal, and yet, in aggregate, it defines our collective capacity to respond wisely and cooperatively to major existential risks from nuclear war to climate collapse to runaway AI.

A failure to reform it may not directly endanger survival in the short term. But it does something almost as dangerous. It weakens our capacity for coordinated, ethical, resilient adaptation in an uncertain future.

The conventional narrative of education is that we prepare young people for the future by transmitting knowledge from the past. This story feels quaint in a world where AI systems can rapidly access and synthesise vast knowledge repositories, environmental disruption creates unprecedented challenges, and social systems are undergoing rapid reorganisation.

Simply knowing more isn’t enough.

Knowing what happened yesterday is not enough either. Every genuinely transformative period in human history required young people to reject elder wisdom en masse. The Aboriginal Australians had 65,000 years of accumulated wisdom, but it couldn’t prepare them for European contact. Climate disruption and AI represent similar discontinuities. What if honouring traditional wisdom and the new tradition of the market may be precisely the wrong approach?

What if Finland’s educational success is correlated with ethnic homogeneity and resource abundance, rather than pedagogical innovation? When elites promote 21st-century skills, they’re ensuring their children learn meta-cognitive advantages while working-class kids get vocational training dressed up as systems thinking.

Similarly, what if, in periods of genuine discontinuity, older generations become net liabilities rather than wisdom sources, and attempts at intergenerational exchange hinder necessary adaptation?

These are uncomfortable thoughts.

As mindful sceptics, we can acknowledge both the profound challenges of educational transformation and the tangible evidence that such transformation is possible. We can recognise that while perfect solutions don’t exist, meaningful progress does. And then, we pause, take a breath and ask the awkward questions.

The most significant risk isn’t that we’ll attempt transformation and fall short, but that we’ll cling to educational models designed for a world that no longer exists. Even the trendy ones we currently think are an improvement on cramming content.

When I ditched the script and let my ecology class run wild and loose with the scientific method, I knew I was doing something different. Now we need something different again.

Maybe the reimagining of education we have to hand is a category error that assumes predictability that doesn’t exist. The novel educational models mentioned in this essay might be utopian fantasies existing at the margins for the moment, even if they have a track record of benefiting students in diverse contexts. But they show it can be done.

Complex systems are fundamentally unpredictable. No educational program in 1900 could have prepared students for 1950, let alone 2000. Instead of trying to anticipate specific challenges, we should optimise for the capacity to improvise novel solutions using whatever’s available. This means less structured learning, not more.

Preparing young people for a world of limits and possibilities might just mean letting them run with it.

Notes & Sources (for the curious)

Limits, energy, and biophysical disruption

• Planetary boundaries “how many crossed” (and why it matters) — Stockholm Resilience Centre planetary boundaries update (2023–2025); Science Advances planetary boundaries update (Richardson et al., 2023).

• Population scale and trajectory (8+ billion, peak timing) — UN DESA World Population Prospects 2024

• Net-energy / EROI framing (why declining returns constrain surplus) — UK DFID/SUNY-ESF report on global EROI (2013); Heun & de Wit (2012) on EROI and implications.

Food-system fragility (fertiliser, nutrients, pollination, climate)

• Climate impacts on food production (synthesis) — IPCC AR6 WGII (2022), food & water fact sheet / Chapter 5.

• Pollinator dependence + decline risks (global assessment) — IPBES Pollinators/Pollination/Food assessment (2016), SPM.

• Phosphate rock supply and “no substitutes” for phosphorus — USGS Mineral Commodity Summaries 2025: Phosphate Rock.

Case study: energy shocks hitting real economies

• Bolivia’s 2025 diesel shortage affecting agriculture (Santa Cruz figures, queues) — Reuters (13 Mar 2025); ReliefWeb situation note (18 Mar 2025).

Structural alternatives: teaching for complexity, not coverage

• Studio Schools / non-standard models in England (official counts/listing over time) — UK Department for Education monthly dataset of open academies/free schools/studio schools/UTCs (updated Jan 2026; includes 2025 editions).

• Finland’s curriculum basis for multidisciplinary/phenomenon-based learning — Finnish National Agency for Education core curriculum timeline (2014–2019 rollout).

• Singapore’s Applied Learning Programme (real-world application / interdisciplinary learning) — Singapore Ministry of Education ALP overview (updated Dec 2025).

• Evidence that “systems thinking can be taught” (anchor synthesis) — OECD Rethinking education in the context of climate change (2024) (competencies/curriculum); Elsawah et al. “Teaching systems thinking…” (2022) as a higher-ed example.

AI changes what education is “for”

• Why GenAI pushes education toward judgement/ethics/assessment redesign — UNESCO Guidance for generative AI in education and research (Sept 2023; updated Jan 2026).

Intergenerational learning (reciprocal models)

• What intergenerational exchange programs tend to do for participants (overview evidence) — Webster et al. systematic review of intergenerational programs (2024); Pillemer et al. wisdom-sharing intervention paper (2022).

Primary Sources

Elsawah, S., Ho, A. T. L., & Ryan, M. J. (2022). Teaching systems thinking in higher education. INFORMS Transactions on Education, 22(2), 66–102.

Heun, M. K., & de Wit, M. (2012). Energy return on (energy) invested (EROI), oil prices, and energy transitions. Energy Policy, 40, 147–158.

Pillemer, K., Nolte, J., Schultz, L., Yau, H., Henderson, C. R., Jr., Cope, M. T., & Baschiera, B. (2022). The benefits of intergenerational wisdom-sharing: A randomized controlled study. International Journal of Environmental Research and Public Health, 19(7), 4010.

Richardson, K., Steffen, W., Lucht, W., Bendtsen, J., Cornell, S. E., Donges, J. F., Drüke, M., Fetzer, I., Bala, G., von Bloh, W., Feulner, G., Fiedler, S., Gerten, D., Gleeson, T., Hofmann, M., Huiskamp, W., Kummu, M., Mohan, C., Nogués-Bravo, D., … Rockström, J. (2023). Earth beyond six of nine planetary boundaries. Science Advances, 9(37), eadh2458.

Webster, M., Norwood, K., Waterworth, J., & Leavey, G. (2024). Effectiveness of intergenerational exchange programs between adolescents and older adults: A systematic review. Journal of Intergenerational Relationships.