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tiwaryshailesh
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The books, frameworks and ways of thinking I most want my son to encounter, preserved before I forget why they mattered. tiwaryshailesh.substack.com

Episodes

  1. 2d ago

    On Harari's Work

    Yuval Noah Harari is the most widely read historian alive. Sapiens has sold over twenty million copies and been translated into more than sixty languages. It has been read by Barack Obama, Bill Gates and Mark Zuckerberg, recommended by heads of state and placed on corporate reading lists across industries and continents. Homo Deus extended that reach. 21 Lessons for the 21st Century made him a de facto public intellectual on questions of technology and democracy. Nexus, published in 2024, addressed artificial intelligence and information networks with the same sweeping ambition that characterises all his work. The phenomenon of Harari’s readership is itself a subject worth examining briefly before the books are. He has achieved something rare: genuine mass readership for intellectually serious historical and philosophical argument. His books are not simplified or dumbed down. They are dense with ideas, structured around counterintuitive claims and willing to reach genuinely disturbing conclusions. The readership reflects a hunger for big-picture thinking that academic specialisation and journalistic short-termism have largely failed to satisfy. Harari began as an academic military historian specialising in medieval and early modern warfare. His doctoral work at Oxford focused on the experience of Renaissance soldiers and the cultural construction of warfare as a narrative form. That training is not incidental to his popular work. The concern with how human beings narrate their experience, how stories and myths structure collective behaviour and how the same events can be simultaneously true in their factual content and false in their cultural meaning runs through everything he has written. The historian of how soldiers understood their own deaths became the historian of how civilisations understand their own existence. His intellectual influences are eclectic and often implicit. Jared Diamond’s biogeographical determinism, Michel Foucault’s analysis of power and discourse, Francis Fukuyama’s teleological liberalism (which Harari accepts and then interrogates), Daniel Dennett’s philosophy of mind and consciousness, Peter Singer’s utilitarian ethics and the Buddhist philosophy that Harari practises as a meditator all leave visible marks. The synthesis is original even when the components are borrowed. Unlike Taleb, Harari is not primarily a technical thinker. Unlike Deutsch, he is not a scientist advancing a theory. He is a historian and philosopher of the big picture: someone who reads across biology, anthropology, economics, philosophy and technology and produces a narrative account of how the human animal got here and where it might be going. The appropriate standard for his work is not mathematical rigour or scientific precision but the quality of the synthesis, the originality of the framing and the intellectual honesty with which uncomfortable conclusions are confronted. Sapiens: A Brief History of Humankind (2011/2014) Sapiens covers 70,000 years of human history in approximately 400 pages. This is, on its face, an absurd enterprise. Any such project will involve simplification, generalisation and the suppression of complexity that would qualify or overturn specific claims. Harari is aware of this and takes it as a feature rather than a bug. His explicit ambition is not to produce a comprehensive history but to identify the most important patterns in human development and to offer a framework for understanding how we arrived at the present. The book is organised around three revolutions: the Cognitive Revolution approximately 70,000 years ago, the Agricultural Revolution approximately 10,000 years ago and the Scientific Revolution approximately 500 years ago. These are not arbitrary divisions. Each revolution represents a fundamental shift in the relationship between Homo sapiens and the rest of the biosphere, a shift in the sources of human power and a shift in the cognitive and social structures through which humans organise their lives. The Cognitive Revolution: The Power of Fiction The Cognitive Revolution is Harari’s most original and most influential conceptual contribution. The central question is: why did Homo sapiens outcompete and eventually eliminate every other human species? Neanderthals had larger brains. Homo erectus had a longer evolutionary track record. Other species of genus Homo inhabited the same environments and faced the same selection pressures. What was different about sapiens? Harari’s answer is language, but not language in the obvious sense of the ability to communicate information about the physical environment. Other animals do that. What is distinctive about the language of Homo sapiens is the ability to communicate about things that do not exist: to create and share fiction. Not fiction in the pejorative sense of lies or delusions, but fiction in the sense of intersubjective reality: entities and structures that exist not in the physical world but in the shared beliefs of a sufficiently large community. Money is the paradigm case. A banknote is, as a physical object, a piece of printed paper with negligible intrinsic value. Its value as money exists entirely in the shared belief of a community that it can be exchanged for goods and services. The moment that belief collapses, the banknote becomes physically unchanged but monetarily worthless. Nations, corporations, legal systems, human rights, religions and political ideologies are all fictions in this precise sense: they exist only insofar as sufficient numbers of people collectively believe in them and act as if they exist. This is not a debunking argument. Harari is not claiming that money, human rights or nations are unreal or unimportant. He is claiming the opposite: that these intersubjective fictions are the most powerful forces in human history, more powerful than any physical fact about the environment or any genetic fact about the individual. The ability to create and sustain shared fictions is what enabled Homo sapiens to cooperate in groups of thousands and millions, far beyond the scale accessible to other social animals. Chimpanzees cannot cooperate with strangers. They lack the cognitive machinery to extend trust beyond the small groups in which individual relationships can be maintained. Sapiens can cooperate with millions of strangers because they share common fictions: the same currency, the same legal system, the same national identity or the same religious beliefs. The evolutionary timing of the Cognitive Revolution is important. Around 70,000 years ago, something changed in the structure of the sapiens brain. The fossil and archaeological record shows a sudden explosion of symbolic behaviour: cave paintings, carved figurines, long-distance trade in non-utilitarian objects and, inferentially, the elaborate social rituals that require shared symbolic understanding. Harari argues this reflects the emergence of something like the modern human mind: capable of fiction, capable of narrative and therefore capable of the large-scale flexible cooperation that distinguishes sapiens from every other species. The consequence of this analysis is that human history is fundamentally the history of intersubjective fictions: which ones come to dominate, how they spread, how they interact, how they collapse and what replaces them. The Agricultural Revolution, the rise of empires, the spread of world religions, the Scientific Revolution, the emergence of capitalism and the liberal democratic order are all, in Harari’s framework, the history of changing sets of shared fictions that structure how vast numbers of people understand themselves and coordinate their behaviour. The Agricultural Revolution: History’s Biggest Fraud One of Sapiens’s most provocative chapters concerns the Agricultural Revolution, which Harari describes as history’s biggest fraud. The conventional story is one of progress: the transition from nomadic hunter-gathering to settled agriculture enabled population growth, specialisation of labour, the accumulation of surplus, the development of writing and mathematics and eventually the entire edifice of civilisation. This is true. But Harari asks a different question: was the Agricultural Revolution good for the individual human being? The answer, supported by a substantial body of physical anthropological evidence, is probably no. Hunter-gatherer skeletons show greater average height, fewer signs of nutritional deficiency and less evidence of the repetitive stress injuries characteristic of agricultural labour than early agricultural skeletons. Hunter-gatherers worked fewer hours per day, ate a more varied diet and were exposed to a smaller disease load because they did not live in dense settlements in close proximity to domesticated animals. The transition to agriculture brought population growth, but it also brought famine, epidemic disease, social hierarchy, slavery and warfare at a scale and intensity that hunter-gatherer societies rarely achieved. More precisely: the Agricultural Revolution was not good for individual humans but it was spectacularly good for the genes of the species of plants and animals that were domesticated. Wheat, rice, maize, cattle, pigs and chickens are among the most numerous organisms on earth precisely because their domestication by humans served their genetic propagation regardless of its effects on the humans doing the domesticating. The farmer who cleared a forest to plant wheat and then spent backbreaking days weeding, irrigating and harvesting was, in genetic terms, working for the wheat. The story of agricultural progress, narrated from the perspective of individual human wellbeing, looks rather different from the standard narrative of civilisational advancement. The deeper point is about the gap between what is good for the collective and what is good for the individual. The Agricultural Revolution enabled civilisations but may have made th

    1h 1m

  2. 2d ago

    On Game Theory

    In 1983, the United States ran a war game called Able Archer. Soviet intelligence, watching it unfold, could not tell whether it was a simulation or the real thing. Both sides had nuclear weapons. Both sides had dominant strategies. The world nearly ended not because anyone wanted it to but because the structure of the game made mutual destruction the rational move. Game theory does not begin with mathematics. It begins with that. There is a mode of reasoning that sits underneath economics, politics, evolutionary biology, military strategy, negotiation and social organisation simultaneously. It is the recognition that the outcome of any situation involving more than one decision-maker depends not just on what you do but on what others do in response to what you do and what they expect you to do in response to what they do in response. This recursive structure of interdependent decision-making is the domain of game theory and once you have genuinely internalised its logic you cannot look at competitive, cooperative or mixed situations the same way again. The books I referred for writing this piece collectively build this mode of reasoning from first principles to sophisticated application. What follows is what they collectively teach. Thanks for reading tiwaryshailesh’s Newsletter! Subscribe for free to receive new posts and support my work. The Foundational Architecture: What a Game Actually Is Every strategic situation has a structure that can be analysed before any specific move is considered. The structure consists of the players, the choices available to each player, the information each player has when making their choice, the timing of decisions and the payoffs that each combination of choices produces for each player. Before asking what to do in any strategic situation, the systems thinker asks what game is actually being played here because the answer to that question determines what the available strategies even are. This prior question is consistently neglected in practice. Most people enter strategic situations with their attention focused on their own options and their own objectives, with the other players modelled only superficially. Game theory insists on the prior step: who are all the players, what are their actual payoffs, what information do they have and what is the timing structure of the interaction. The answers are frequently different from first appearances and the difference is strategically decisive. Dixit and Nalebuff establish the most important initial distinction. Games differ along two fundamental dimensions. The first is whether they are zero-sum or non-zero-sum. In a zero-sum game, every gain for one player is exactly a loss for another. The total value in the game is fixed and the question is only how it is divided. Chess, most sports and many political contests are approximately zero-sum. In non-zero-sum games, the total value available depends on what players do collectively. Both players can gain or both can lose depending on their choices. Most business, most negotiation and most social interaction is non-zero-sum. The error of treating non-zero-sum games as zero-sum is one of the most expensive strategic mistakes available and it is extremely common. The second dimension is whether the game is played once or repeatedly. This distinction is as important as the zero-sum distinction and they interact in ways that are surprising and consequential. The logic of a one-shot game is completely different from the logic of the same game played repeatedly because in repeated games the future creates incentives that do not exist in single interactions. Reputation, reciprocity and the threat of future retaliation all become strategically relevant only when there will be future interactions. Understanding whether you are in a one-shot or repeated game with any particular counterpart is therefore one of the first and most important analytical moves available. Dominant Strategies and Nash Equilibrium: The Bedrock Once the structure of a game is understood, the search for strategic solutions begins with the concept of dominance. A strategy is dominant if it produces better outcomes for the player using it regardless of what any other player does. If you have a dominant strategy, you should use it. Full stop. The reasoning of the other players, the history of the relationship and the specific context are all irrelevant if one strategy is genuinely dominant. And if all players have dominant strategies, the outcome is determined by those strategies regardless of what any player prefers. The Prisoner’s Dilemma is the canonical illustration and Poundstone’s history of it reveals why it became so consequential so quickly after its invention. Two suspects are held separately and each is offered the same deal: confess and implicate the other and you go free while the other gets a long sentence, but if both confess you both get a medium sentence and if neither confesses you both get a short sentence on lesser charges. Each prisoner’s dominant strategy is to confess regardless of what the other does. If the other confesses, confessing reduces your sentence. If the other stays silent, confessing lets you go free. Confess is dominant for both players. The result: both confess and both get medium sentences, which is worse for both than if neither had confessed. The Prisoner’s Dilemma is not a curiosity. It is the structural template for an enormous range of consequential real-world situations. Arms races between nations. Price wars between competitors. The overuse of common resources. The underprovision of public goods. The collapse of cooperation in any situation where individual incentives diverge from collective interests. In every case the structure is the same: individual rationality produces collective irrationality. Each player doing what is best for themselves, given what they expect others to do, produces an outcome that is worse for everyone than the cooperative outcome they could have achieved. Nash Equilibrium generalises this insight beyond games with dominant strategies. A Nash equilibrium is a combination of strategies such that no player can improve their outcome by unilaterally changing their strategy given what all other players are doing. It is a stable point in the strategic landscape, not necessarily optimal for any player and sometimes far from optimal for all players collectively, but stable in the sense that no individual player has an incentive to deviate from it unilaterally. The prisoner’s dilemma mutual confession is a Nash equilibrium. Both players confessing is stable because given that one player confesses, the other’s best response is also to confess. Understanding Nash equilibrium is powerful not because it always tells you what to do but because it identifies the stable attractors of strategic situations. In any repeated strategic interaction, the system tends to move toward Nash equilibria over time as players learn and adapt. Knowing where the equilibria are tells you where the situation is heading and whether intervention to change the game structure is required to reach a better equilibrium. The Repeated Game Revolution: Why Cooperation Is Possible The most important single finding in the empirical game theory literature comes from Axelrod’s tournament and it overturns the naively pessimistic reading of the prisoner’s dilemma as proof that cooperation is irrational. Axelrod invited game theorists, economists and computer scientists to submit strategies for an iterated prisoner’s dilemma tournament in which the same pairs of strategies would play each other across many rounds. The winning strategy across multiple tournaments, submitted by the psychologist Anatol Rapoport, was the simplest strategy entered: Tit for Tat. Cooperate on the first move. Then do whatever the other player did on the previous move. Cooperate if they cooperated. Defect if they defected. Return immediately to cooperation if they do. Tit for Tat won not by being clever but by embodying four properties that Axelrod identified as the structural requirements for successful cooperation in repeated games. It is nice: it never defects first. It is retaliatory: it immediately punishes defection. It is forgiving: it returns to cooperation the moment the other player does. And it is clear: its strategy is simple enough that the other player can model it accurately and understand that cooperation will be rewarded and defection will be punished. The implications extend far beyond game tournaments. The Evolution of Cooperation shows that these same four properties characterise the emergence of cooperation in biological systems, in human social evolution and in the sustained cooperation that makes markets, institutions and societies function. Cooperation is not irrational. It is the rational response to repeated interaction with players who will retaliate against defection and reward cooperation. The conditions that make cooperation stable are the conditions that allow complex social organisation to exist at all: sufficient probability of future interaction, sufficient ability to identify and remember how specific players have behaved in the past and sufficient capacity to reward cooperation and punish defection. This analysis identifies precisely why cooperation breaks down and what restores it. Cooperation collapses when interactions become one-shot or when players believe they will not interact again, when players cannot identify who defected or cannot attribute specific defections to specific players, and when the temptation to defect is large relative to the long-term value of sustained cooperation. Every institution designed to sustain cooperation, from contract law to international treaties to professional reputation systems, works by addressing one or more of these breakdown conditions: extending the shadow of the future, improving the attribution of defection to specific pl

    52 min

  3. 2d ago

    On Dawkins' Work

    Every living thing on this planet is a machine built by something that has never been alive, has no mind, no intention and no goal. It does not know you exist. It does not care whether you suffer or thrive. It has produced, through four billion years of blind copying and filtering, the eye, the immune system, the human brain and the feeling that there must be something behind all of this. There is not. That is Dawkins’s argument and it is one of the most consequential ideas in the history of human thought. Richard Dawkins is a British evolutionary biologist, popular science writer and public intellectual whose output across more than five decades spans foundational evolutionary theory, philosophy of biology, cognitive science of religion and secular advocacy. His work include multiple books, alongside a substantial body of academic papers, lectures and essays. The single organising logic that runs through virtually everything he has written is this: natural selection operating on replicators is the only known process capable of generating the appearance of design in living systems, and once this is properly understood it dissolves, one by one, the mysteries that have historically driven people toward teleological or supernatural explanations. Every major work is either an elaboration of this principle, a defence of it against rival accounts within biology or a prosecution of its implications for religion and human self-understanding. His intellectual lineage runs directly through Charles Darwin, R. A. Fisher, J. B. S. Haldane and W. D. Hamilton. He works firmly within the neo-Darwinian synthesis and draws heavily on George C. Williams’s Adaptation and Natural Selection (1966), which first argued rigorously that selection acts on genes rather than groups. He engages sympathetically with John Maynard Smith and the tradition of formal evolutionary game theory. The positions he argues against are multiple and sometimes contradictory with one another: group selectionists from V. C. Wynne-Edwards through David Sloan Wilson, Lamarckians and directed-mutation theorists, proponents of punctuated equilibrium in its stronger forms, the adaptationist critics Stephen Jay Gould and Richard Lewontin, theists of every variety and, in his later career, the entire tradition of natural theology from William Paley onward. The Selfish Gene (1976): The Replicator as the Unit of Darwinian Analysis The founding document of Dawkins’s intellectual project begins not with organisms but with a thought experiment about the origin of self-replicating molecules in a primordial chemical soup. This framing is not decorative. It establishes the conceptual priority of the replicator; the entity whose differential copying success is the engine of all subsequent biological complexity. Organisms, on this view, are not the primary units of selection but the vehicles replicators build to promote their own propagation. The gene is the replicator; the body is the machine it rides in. The core argument of The Selfish Gene is that genes behave, in a statistical sense, as though they were selfish, meaning they have been selected precisely because they promoted their own copying at the expense of alternatives, including genetic alternatives carried by other individuals of the same species. This insight, drawn largely from Hamilton’s work on inclusive fitness and from Trivers’s reciprocal altruism, allows Dawkins to reframe the evolution of altruistic behaviour. Apparent sacrifice by one organism for another is not a puzzle for Darwinian theory once you realize the gene shared between relatives is the unit whose frequency is being tracked. The organism helps its kin not because it is altruistic in any human sense but because the gene that produces helping behaviour is thereby helping copies of itself. What makes this book the load-bearing pillar of everything that follows is not its account of kin selection, which was already mathematically established, but its rhetorical and conceptual move of changing the level at which the reader is invited to see selection working. Dawkins argues that if you habitually think from the gene’s point of view rather than the organism’s point of view, a wide range of biological phenomena that otherwise look puzzling or paradoxical resolve themselves. Parent-offspring conflict, sexual conflict, the evolution of virulence in parasites, the seemingly bizarre behaviours of social insects, all become tractable when the question asked is not “what benefits this organism or this group?” but “what benefits this replicating sequence?” The book also introduces the concept of the meme in its final chapter, a replicating unit of cultural information analogous to the gene. This is treated briefly and speculatively in The Selfish Gene itself but becomes important later as an attempt to extend the replicator logic beyond biology. The Extended Phenotype (1982): Selection Beyond the Skin The Extended Phenotype is Dawkins’s most technically rigorous book and the one he has said represents his most original scientific contribution. Its central argument is that the phenotypic effects of a gene need not be confined to the body of the organism carrying that gene. A gene can influence the world beyond the organism’s skin, and that extended influence is part of what selection acts upon. The examples are deliberately strange and carefully chosen. A gene in a beaver that produces dam-building behaviour has phenotypic effects that extend into the physical landscape. A gene in a cuckoo that produces the egg-pattern matching its host has phenotypic effects that extend into the body of the host species. Parasites that manipulate host behaviour are expressing their genes in the host’s nervous system. The principle, once stated, is clarifying rather than merely striking: the boundaries we naturally draw around the organism are convenient but not theoretically fundamental to understanding what selection is doing. This book makes explicit what is implicit in The Selfish Gene: the vehicle, the organism, is theoretically dispensable as a category even if it remains empirically important. What matters is the replicator and its effects on the world, however far those effects extend. The book also contains a rigorous defence of adaptationism against the critiques already being mounted by Gould and Lewontin in their “Spandrels” paper. Dawkins distinguishes between genetic determinism (which he does not hold) and the claim that adaptation is best understood as the product of gene-level selection (which he does hold), and argues that confusing these two positions has generated a great deal of unnecessary controversy. The intellectual function of The Extended Phenotype within the overall project is to harden the theoretical foundations that The Selfish Gene established. If the popular book made the gene’s-eye view vivid and accessible, this academic monograph made it defensible against sophisticated biological objection. The Blind Watchmaker (1986): Design Without a Designer The title alludes to Paley’s Natural Theology (1802), in which the discovery of a watch on a heath implies a watchmaker, and thence the existence of God as designer of the natural world. Dawkins’s answer is that cumulative natural selection is itself a blind watchmaker: it produces the appearance of purposeful design without any designing mind behind it. The central argumentative move is the distinction between single-step and cumulative selection. Mount Improbable (a metaphor developed more fully in a later book) cannot be scaled in a single leap; no mutation produces an eye from scratch. But if each incremental improvement is preserved by selection while each decrement is eliminated, the cumulative effect across geological time can produce structures of extraordinary complexity and apparent purposiveness. The eye, the echolocation system of the bat, the aerodynamics of the swift, all are explicable as the summation of millions of individually small selective steps. Dawkins supports this argument with a now-famous computational demonstration: the Biomorph program, which he built himself and describes at length. Starting from a simple line-drawing ancestor and iterating through random mutations with human selection imposed, the program generates forms of surprising biological plausibility. The point is not that this simulates real evolution (it does not; selection here is by a human chooser, not by differential reproductive success) but that it makes viscerally persuasive the claim that cumulative selection can generate apparent design from simple beginnings. The book is also a systematic attack on creationism as a scientific hypothesis, conducted not primarily by appeals to the fossil record or molecular phylogenetics but by showing that the structure of the creationist argument is philosophically incoherent. The creationist argues that complexity requires a designer; Dawkins argues that a designer capable of creating biological complexity would itself require an explanation of equal or greater complexity. The hypothesis of God does not explain biological design; it merely relocates the explanatory problem while making it immeasurably larger. In the architecture of the overall project The Blind Watchmaker occupies a pivotal position. It is where the gene’s-eye logic of the first two books is explicitly connected to the oldest and most powerful argument for religious belief. The work is not yet primarily about religion (that comes in The God Delusion) but it establishes that Darwinism is the answer to the question that natural theology was attempting to answer. River Out of Eden (1995) and Climbing Mount Improbable (1996): The Digital River These two shorter books, published in quick succession, elaborate different aspects of the same central thesis. River Out of Eden introduces the metaphor of genetic information as a river of digital data flowing thro

    56 min

  4. 2d ago

    On Geopolitics

    Russia has no warm water port that is not blocked by a potential adversary. That single geographical fact explains five centuries of Russian foreign policy more accurately than any account built around ideology, personality or culture. The Tsars pushed outward. The Soviets pushed outward. Putin pushed outward. The names change. The map does not. If you want to understand why nations do what they do, start with the map. There is a habit of mind that distinguishes the serious geopolitical analyst from the commentator who merely follows events. The commentator sees what happened. The analyst sees why it was probably going to happen given the structural forces at work and what is likely to happen next given those same forces. The difference is not access to better information. It is the possession of frameworks, mental models of how power, geography, history and human nature interact, that organise raw information into strategic understanding. The books I referred for this piece collectively build those frameworks. Not the frameworks of any single ideological tradition but the overlapping and sometimes contradictory frameworks that together produce the most accurate available picture of how the world actually works. What follows is what they collectively teach. The Permanent Layer: Geography as Destiny’s First Draft Begin where every serious geopolitical analysis must begin. Before ideology, before economics, before the decisions of leaders and the accidents of history, there is geography. The shape of the land, the location of rivers, the presence or absence of natural harbours, the distance from warm-water ports, the defensibility of borders and the location of energy and mineral resources are not variables that change on human timescales. They are the permanent constraints within which all political choice occurs and they have been shaping the behaviour of states for as long as states have existed. Marshall’s Prisoners of Geography makes this argument with unusual clarity by walking through ten maps that explain more about global politics than most diplomatic history. Russia’s behaviour makes complete sense once you understand that it has no warm-water port that is not blocked by a potential adversary, that the flat plain of Eastern Europe has been the invasion route into the Russian heartland repeatedly throughout history and that every Russian leader from the Tsars to Putin has therefore been structurally compelled to push outward and create buffer zones regardless of their ideology or personal character. The invasion of Ukraine is not primarily an expression of Putin’s personality. It is the latest iteration of a strategic logic that Russian geography has imposed on Russian rulers for five hundred years. China’s behaviour in the South China Sea makes complete sense once you understand that China’s coastline is a series of island chains controlled by American allies that function as a containment barrier limiting Chinese naval projection into the Pacific. The artificial islands China is building, the aggressive posture in the Taiwan Strait and the Belt and Road infrastructure across Central Asia are all attempts to break out of a geographical containment that American strategic planners deliberately constructed and that Chinese strategic planners have been trying to dismantle with equal deliberation. The United States’ behaviour as a global power makes complete sense once you understand that it is the only major power in human history to be bordered on two sides by vast oceans and on two sides by weak and friendly neighbours. This geographical fortune allowed the United States to develop continental-scale economic power without the permanent military mobilisation that continental powers require for survival and then to project that power globally from a position of domestic security that no Eurasian power has ever enjoyed. American foreign policy exceptionalism is not primarily a cultural or ideological phenomenon. It is the political expression of an exceptional geographical position. Kaplan extends this analysis into the zones of perpetual instability. The Middle East’s political dysfunction is inseparable from its geography: a region of scarce water, vast oil wealth unevenly distributed, no natural borders that correspond to ethnic or religious communities and surrounded by the competing interests of external powers for whom its resources and location are strategically critical. The states drawn by colonial powers across this geography were not designed for political viability. They were designed for colonial administrative convenience. The instability that has followed is the predictable consequence of geography and political structure being in fundamental tension. The Himalayan massif and the geography of the Indian subcontinent explain the dynamics of the India-Pakistan-China strategic triangle with equal force. India’s geography gives it the largest natural defensible perimeter in the world and the strategic depth that allows it to absorb pressure while building response capability. It also creates structural competition with Pakistan over Kashmir, which sits astride the water systems on which both nations depend, and with China over the Himalayan border that defines the boundary between the world’s two most populous nations. These are not conflicts produced by misunderstanding or bad faith. They are the structural outputs of geography interacting with demography and resource distribution. The framework that geography provides is not deterministic. Leaders make choices and choices matter. But they make choices within a geographical constraint set that powerfully shapes what options are available and what costs attach to each option. The leader who ignores geography pays the price consistently. Napoleon ignored the Russian winter. Hitler ignored it again. Every American president who has tried to impose a political solution on Afghanistan has ignored the geographical reality that makes it unconquerable and ungovernable from outside. The Structural Layer: How the International System Shapes State Behaviour Mearsheimer’s offensive realism is the most intellectually uncomfortable framework in this body of work for anyone who believes that international relations are primarily driven by values, institutions or the quality of leadership. His argument is structural: the behaviour of great powers is not primarily determined by their domestic political systems, their ideologies, their cultures or the intentions of their leaders. It is determined by the structure of the international system in which they operate. The international system is anarchic in the technical sense: there is no world government, no global sovereign with the legitimate authority and physical capacity to enforce agreements and protect weaker parties against stronger ones. In this environment, every state must ultimately rely on its own power for survival. No treaty, no alliance and no international institution can provide the absolute guarantee of security that a domestic government provides to its citizens because there is no enforcement mechanism that operates above the level of national power. In this anarchic system, relative power matters more than absolute wellbeing. A state that grows richer while a rival grows richer faster has become relatively weaker regardless of its absolute improvement. A state that disarms in the name of peace has made itself more vulnerable regardless of the sincerity of its partner’s stated intentions. The rational response to this structural reality is the continuous pursuit of relative power advantage and the maintenance of enough military capability to deter or defeat any plausible combination of adversaries. This logic produces the behaviour that idealists attribute to greed, aggression or the specific character flaws of specific leaders. The United States did not seek to dominate the Western hemisphere because Americans are uniquely aggressive. It did so because geographical security requires preventing any other great power from establishing a significant presence in your hemisphere from which it could threaten you. China is not seeking to dominate Asia because the Chinese Communist Party is uniquely expansionist. It is doing so because a great power in an anarchic system rationally seeks to establish regional hegemony as the foundation of its security. These are the same strategic logic expressed by different powers in different historical moments. Mearsheimer’s framework predicts that the US-China competition will intensify regardless of the ideology of either party, the quality of bilateral diplomacy or the density of economic interdependence. The United States will attempt to prevent China from achieving regional hegemony in Asia for the same structural reasons it has prevented any other power from achieving regional hegemony in any region adjacent to its interests throughout its history. China will continue to push for regional hegemony for the same structural reasons that every rising great power has sought it throughout history. This is not pessimism or warmongering. It is the structural forecast that the international system’s architecture produces. The critical question, which Allison’s Thucydides Trap analysis addresses directly, is whether the structural logic of great power competition produces war or whether it can be managed through the diplomacy, institution-building and strategic restraint that has occasionally prevented it. His historical survey of sixteen cases in which a rising power threatened to displace a ruling power finds that war resulted in twelve of them. The four exceptions are not random. They share specific characteristics: deliberate diplomatic management of the transition, the creation of institutions that gave both parties stakes in the existing order and the exercise of strategic restraint by both sides at critical moments of tension.

    38 min

  5. 2d ago

    On System Thinking

    Kodak invented the digital camera in 1975. It had the patents, the engineers and the capital. It filed for bankruptcy in 2012. Nobody at Kodak was stupid. Nobody was asleep. The system was working exactly as designed, which is precisely why it failed. That is not a business story. That is a systems story and once you see it you cannot stop seeing it everywhere. There is a mode of thinking that is so rare in practice and so powerful in application that those who develop it operate in most professional and intellectual environments as though they have access to information others do not. They are not smarter in the conventional sense. They have not necessarily read more or worked harder. They have learned to see something that most people cannot see: the structure underneath events. Most people think in events. Something happened. Someone caused it. Fix the cause or punish the person and the problem is resolved. This mode of thinking is intuitive, narratively satisfying and consistently wrong in complex environments. Events are the visible surface of a deeper reality. Beneath the events are patterns of behaviour recurring over time. Beneath the patterns are the systemic structures, the feedback loops, the stocks and flows, the delays and the incentive architectures that produce the patterns. The event is the symptom. The structure is the disease. Treating symptoms while the structure remains unchanged produces the same outcomes repeatedly with the reliable accompaniment of genuine bewilderment about why the problem keeps returning. The books I referred for writing this piece collectively build the complete mental architecture for seeing structure rather than just events. What follows is what they collectively teach. The Grammar of All Systems Meadows provides the foundational vocabulary without which everything else in this domain remains impressionistic. Every system, from a thermostat to a global economy to a human body to a political institution, is built from three basic components: stocks, flows and feedback loops. Understanding these three components and how they interact is the grammar of systems thinking in the same way that understanding words, sentences and grammar is the prerequisite for reading any language. A stock is any quantity that accumulates or depletes over time. Water in a bathtub. Money in a bank account. Trust in a relationship. Knowledge in a field. Pollution in an atmosphere. Population in a country. Stocks are the state of the system at any given moment and they change only through flows. A flow is the rate at which a stock changes. The tap filling the bathtub and the drain emptying it are both flows. Birth rate and death rate are the flows that determine population stock. Investment and depreciation are the flows that determine capital stock. The crucial and consistently underappreciated property of stocks is that they cannot change instantaneously. You cannot drain a bathtub in a moment regardless of how wide you open the drain. You cannot rebuild trust in a relationship overnight regardless of how sincere your effort. You cannot decarbonise an economy in a year regardless of the strength of the political will. The inertia of stocks is one of the primary sources of the delays that make systems so difficult to manage intuitively. Feedback Loops are the mechanisms through which a system responds to its own state. A reinforcing feedback loop amplifies change in the direction it is already moving: more investment produces more capital which produces more return which enables more investment. Compound growth is a reinforcing loop. So is compound decay. So is the escalation dynamic in an arms race. So is the virality of a successful social media post. Reinforcing Loops produce exponential behaviour, both the spectacular growth curves that excite investors and the runaway collapse curves that precede systemic failure. A Balancing Feedback Loop resists change and tries to maintain the system at a goal or equilibrium: a thermostat that turns on heating when temperature falls and off when it rises, a predator population that grows when prey is abundant and shrinks when prey becomes scarce, a central bank that raises interest rates when inflation exceeds target. Balancing loops are the stabilising mechanisms of systems and their absence is one of the signatures of systems heading toward collapse. The interaction between reinforcing and balancing loops, mediated by the delays inherent in stock dynamics, produces the full complexity of system behaviour. Oscillation, overshoot, collapse, growth, stagnation and resilience are all emergent properties of these three basic components in different configurations. This is the profound simplicity at the heart of systems thinking: an enormous diversity of complex behaviours produced by a small number of structural elements interacting in different combinations. The Pathologies: How Systems Fail Meadows identifies a set of recurring system archetypes, structural configurations that produce characteristic failure patterns across wildly different domains. Recognising these archetypes is one of the highest leverage skills in applied systems thinking because the structural solution to each archetype is generalisable across every domain in which it appears. The Tragedy of the Commons is perhaps the most consequential. When multiple actors share access to a common resource whose stock is finite and whose depletion is not individually costly to each actor in proportion to their contribution to it, the individually rational behaviour of each actor produces collective destruction of the resource. Every actor’s incentive is to extract as much as possible before others do the same. The aggregate result of individually rational decisions is collectively catastrophic. This structure underlies overfishing, groundwater depletion, atmospheric carbon loading, antibiotic resistance and the degradation of shared institutional resources including democratic norms. The structural solution in every case is the same: either privatise the commons so that individual actors bear the full cost of their extraction or regulate access through collective governance mechanisms strong enough to enforce restraint. Neither solution is comfortable. The alternative is the collapse of the commons. Fixes that Fail is the archetype that explains why so many well-intentioned policy interventions make problems worse over time. A symptomatic fix is applied to a problem. The fix provides immediate relief. The relief reduces the pressure to address the fundamental cause. The fundamental cause continues to operate and eventually reasserts the symptom, often in a more severe form. More symptomatic fix is applied. The fundamental cause becomes more entrenched. The system becomes progressively more dependent on the symptomatic fix while the underlying problem deepens. Flood control infrastructure that makes floodplain development seem safe until a flood overwhelms the infrastructure. Antibiotic use that relieves immediate symptoms while accelerating the development of resistant strains. Bailouts of financial institutions that relieve immediate crisis while reinforcing the too-big-to-fail dynamic that created it. The structural signature of this archetype is the same everywhere: short-term relief, long-term deepening of the fundamental problem. Shifting the Burden is the related archetype in which the symptomatic fix not only fails to address the fundamental cause but actively atrophies the system’s capacity to address it. The person who uses alcohol to manage anxiety reduces the anxiety in the short term but also reduces the development of the intrinsic anxiety management capacity that would solve the problem fundamentally. The organisation that uses consultants to solve strategic problems reduces the short-term pressure but also prevents the development of the internal strategic thinking capacity that would solve problems fundamentally. The dependency that develops on the symptomatic fix makes addressing the fundamental cause progressively harder. Dekker’s Drift into Failure provides the most important account of how these pathologies produce catastrophic outcomes in complex engineered and organisational systems. His central argument is that major accidents and systemic failures are almost never produced by a single cause, a single failure or a single bad decision. They are produced by the gradual normalisation of deviance, a process in which small departures from expected safe behaviour are repeated without immediate negative consequence and thereby become normalised as acceptable practice. Each small step away from strict protocol makes the next small step seem less significant. The system drifts toward the edge of its safe operating envelope through the accumulation of decisions that each seem individually reasonable given the local information available to the decision-maker. The Challenger disaster, the Columbia disaster, the Deepwater Horizon blowout, the 2008 financial crisis and most major infrastructure failures follow this arc. Not sudden catastrophic failure from a dramatic cause but the slow drift of a complex system whose feedback mechanisms have been progressively compromised by the normalisation of deviance until a final trigger, often trivial in itself, tips the system past its critical threshold. The implication for system design is that the most important safety mechanisms are not the ones that respond to obvious dramatic failures but the ones that maintain sensitivity to the small early signals that the system is drifting. And the most important organisational culture characteristic is the ability to hear and act on those signals rather than normalising them as acceptable variance. Complexity and Emergence: The Behaviour No One Designed Waldrop’s account of the Santa Fe Institute scientists captures the conceptual revolution that complexity science represents for systems th

    1 hr

  6. 2d ago

    On Critical Thinking

    In 1847, a Viennese doctor named Ignaz Semmelweis proved that doctors were killing their patients by not washing their hands. The evidence was overwhelming. His colleagues rejected it and he died in an asylum. The problem was not the data. The problem was that accepting the data required his colleagues to conclude that they had been killing people for years. The mind does not process evidence neutrally. It processes evidence in the context of what accepting it would cost. Critical thinking is the most overused and most underspecified term in modern intellectual culture. Every educational institution claims to teach it. Every professional development programme includes it. Every political faction accuses its opponents of lacking it. And the actual practice of it, the sustained disciplined effort to think accurately about difficult questions in the face of the specific cognitive and social pressures that accurate thinking must overcome, remains as rare as it has ever been despite or perhaps because of all the attention directed at it. The reason is that most treatments of critical thinking address the wrong level of the problem. They teach logical fallacies, which is useful but insufficient. They teach statistical literacy, which is necessary but not sufficient. They teach Socratic questioning, which is valuable but limited. What they almost never address is the deeper problem: that the human mind did not evolve for accurate reasoning and that the cognitive and social forces working against accurate thinking are not external obstacles to be overcome by technique but are built into the architecture of the thinking apparatus itself. The books I referred for writing this piece collectively address this deeper problem. What follows is what they collectively teach about what genuine critical thinking actually is, why it is so difficult and what developing it actually requires. The Foundational Problem: Your Brain Is Not a Truth-Seeking Machine Begin with the most important and most consistently underappreciated fact about human cognition: the brain did not evolve to think accurately. It evolved to survive, reproduce and maintain social standing in small tribal groups and these evolutionary objectives are frequently in direct conflict with the objective of accurate reasoning about complex questions. Mercier and Sperber’s Enigma of Reason makes this argument with the most rigorous evolutionary and cognitive scientific foundation available. Their interactionist theory of reason holds that reasoning evolved not as a tool for individual truth-seeking but as a tool for social argumentation: for producing justifications for positions already held, for evaluating the arguments of others and for the management of reputation within groups whose cooperation was necessary for survival. The reasoning faculty is extraordinarily powerful at these social functions and systematically weak at the individual truth-seeking function that most critical thinking training assumes it is designed for. The practical implication is that when you use your reasoning faculty to evaluate a question you genuinely care about, in which you have a stake in the outcome, about which you have an existing position, the faculty is doing what it evolved to do: producing compelling justifications for the position rather than genuinely evaluating the evidence for and against it. The arguments produced feel like reasoning from evidence to conclusion. They are almost always rationalisation from conclusion to supporting evidence, with the disconfirming evidence systematically filtered by the very cognitive system that is supposedly doing the evaluation. Haidt’s Righteous Mind confirms this from the social psychology direction with evidence that is specifically devastating for sophisticated thinkers who believe their political and moral reasoning is more evidence-based than that of their opponents. His research demonstrates that moral and political reasoning in virtually all subjects, regardless of their measured intelligence or their explicit commitment to evidence-based thinking, follows the same pattern: rapid automatic moral intuitions produced by System 1 processing followed by the post-hoc construction of rational justifications by System 2. The sophisticated thinker’s advantage is not that they reason from evidence more reliably. It is that they produce more sophisticated and more convincing post-hoc justifications that are harder for others and for themselves to see through. Robson’s Intelligence Trap makes the corollary explicit. High intelligence is not a reliable protection against motivated reasoning, cognitive bias or the adoption of empirically unsupported beliefs. It is frequently a liability because it provides the cognitive tools to construct more elaborate rationalisations, to identify more sophisticated-seeming arguments for positions adopted on other grounds and to dismiss challenges to those positions with more convincing-sounding counter-arguments. The intelligent person who is wrong about something important is harder to reach with corrective information than the less intelligent person who is wrong about the same thing, precisely because their intelligence is in service of their defensiveness. Galef’s Scout Mindset is the most practically useful response to this foundational problem. Her distinction between the soldier mindset and the scout mindset is the most important single conceptual tool in this body of work for the person who wants to actually change their thinking rather than just understand why accurate thinking is difficult. The soldier’s job is to defend a position. The soldier’s cognitive system is therefore oriented toward finding evidence that supports their position and dismissing evidence that challenges it. The scout’s job is to find out what is actually there. The scout’s cognitive system is therefore oriented toward updating their map when new information conflicts with the existing one because an inaccurate map is more dangerous than a disappointing one. The soldier experiences the threat to their beliefs as a threat to themselves. The scout experiences the threat to their beliefs as useful information about where the map needs revision. The critical insight is that the switch between these orientations is not primarily cognitive. It is motivational and emotional. The scout mindset requires genuinely wanting to know what is true more than you want to be right. It requires having decoupled your identity from your beliefs sufficiently that being wrong about something does not feel like being diminished as a person. And it requires the specific emotional experience of updating a belief as a satisfying discovery rather than a humiliating defeat. These are not cognitive techniques. They are orientations that must be cultivated through the same kind of sustained practice that any other character development requires. The Sophisticated Failure Modes: Where Intelligent Thinking Goes Wrong The cognitive biases that Kahneman, Ariely and Dobelli catalogue are the failure modes of ordinary thinking. The critical thinking literature you need at your level addresses something more specific and more consequential: the failure modes of sophisticated thinking. The ways in which intelligence, expertise and the specific cognitive habits that make someone good at analytical reasoning in some domains make them systematically worse at accurate reasoning in others. The first sophisticated failure mode is what Tetlock calls the hedgehog problem. Isaiah Berlin’s famous distinction between the hedgehog, who knows one big thing and applies it everywhere, and the fox, who knows many things and applies different tools to different problems, maps precisely onto the accuracy of expert prediction. Tetlock’s research across twenty years of tracking expert predictions in political and economic domains found that experts who were most famous, most confident and most frequently cited in media were systematically less accurate in their predictions than less prominent experts with more diverse and more uncertain frameworks. The big idea that explains everything explains nothing accurately because no single framework captures the full complexity of the domains where accurate prediction matters most. The application to your own thinking is direct. The person who has built the formidable intellectual architecture that your reading across this conversation represents has also built the specific risk of becoming the hedgehog: the tendency to see every new problem through the frameworks that have been most rewarding to develop and to miss the specific features of new problems that those frameworks cannot accommodate. The metacognitive practice that guards against this is the regular deliberate effort to approach significant questions with frameworks that are foreign to your usual mode of analysis and to take seriously the answers those frameworks generate even when they conflict with your existing frameworks’ outputs. The second sophisticated failure mode is what Schulz documents as the structure of wrongness. The most consequential errors in sophisticated thinking are not the ones where you have obviously inadequate evidence. They are the ones where you have substantial evidence, sophisticated frameworks for interpreting it and high confidence in your conclusions, and where the evidence and frameworks are nevertheless leading you systematically in the wrong direction because of a prior assumption that you have not examined because it has never been challenged. Kuhn’s paradigm analysis is the structural account of this failure mode at the level of entire scientific communities. Schulz’s Being Wrong is the personal psychological account of the same failure mode at the level of the individual thinker. The conclusion that feels most certain, that has the most supporting evidence and that has been held the longest, is the conclusion that

    43 min
  7. On Taleb's Work

    2d ago

    On Taleb's Work

    Nassim Taleb is the most difficult serious thinker working today and he has made himself that way deliberately. The combativeness, the contempt for credentialed experts, the refusal to soften conclusions for polite company, these are not personality defects. They are load bearing elements of the argument. A man who tells you that the experts are systematically wrong about the most important things cannot afford to sound like one of the experts. The Incerto is not a conventional intellectual project. It is not a series of academic monographs advancing incrementally within a discipline. It is not self-help dressed in philosophical clothing. It is not contrarianism for its own sake. It is something rarer and more ambitious: a sustained, book-length attempt to reconstruct how human beings should think about uncertainty, randomness, knowledge and action in a world that is fundamentally non-linear, opaque and resistant to prediction. Nassim Nicholas Taleb is a former derivatives trader, current mathematical statistician and permanently combative intellectual. The Incerto comprises five volumes published between 2001 and 2018: Fooled by Randomness, The Black Swan, The Bed of Procrustes, Antifragile and Skin in the Game. Each book can be read independently. Read together they form a single continuous argument, with each volume elaborating, extending or stress-testing ideas that appeared in embryonic form in its predecessors. The project is also deeply personal. Taleb is not reporting on other people’s ideas about risk. He is writing from the experience of having traded risk for a living, having survived the 1987 market crash by being positioned correctly for a tail event and having spent decades watching people who should know better consistently misunderstand the nature of the uncertainty they inhabit. The intellectual lineage is worth establishing. Taleb draws on Karl Popper’s falsificationism, Friedrich Hayek’s critique of centralised knowledge, Benoit Mandelbrot’s fractal geometry and fat-tailed distributions, Montaigne’s essayistic empiricism, the Stoics on equanimity under uncertainty and the ancient Mediterranean merchant tradition that understood risk through direct exposure rather than through theory. He is also explicitly and ferociously against: academic finance, modern portfolio theory, value-at-risk models, Gaussian statistics applied to social phenomena, interventionist economists, public health bureaucrats and what he eventually calls the Intellectual Yet Idiot class. Fooled by Randomness (2001): The Invisible Hand of Luck The first book establishes the foundational problem. Human beings are systematically unable to distinguish between skill and luck in domains where randomness plays a significant role. We attribute outcomes to the qualities of the person who achieved them rather than to the stochastic process that produced them. This is not merely a cognitive error. It has structural consequences for how we allocate resources, whom we promote, what strategies we adopt and how we understand our own past. The central mechanism is survivorship bias. When we observe the outcomes of a competitive process, we see only the survivors. The failed traders, collapsed hedge funds, bankrupt entrepreneurs and discredited forecasters are not in the sample we analyse. We look at the Warren Buffetts and the George Soroses and we reverse engineer their methods, their temperaments and their worldviews as if those qualities causally produced their success. We ignore the vast population of people who had similar qualities and similar methods and who failed. The survivors are not more skilled than the non-survivors in proportion to the difference in their outcomes. They are, in many domains, simply luckier. Taleb introduces the concept of alternative histories. At any moment, the path that actually occurred is one of many possible paths that could have occurred given the same starting conditions. A trader who made money last year using a particular strategy did not necessarily have a good strategy. He may have had a strategy that happened to work in the specific path that reality took. In an alternative history where slightly different initial conditions obtained, he would have been wiped out. The quality of a decision cannot be evaluated solely by its outcome. It must be evaluated against the full distribution of possible outcomes that the decision was exposed to. This leads to the Monte Carlo argument. Taleb was using Monte Carlo simulation in his trading: running thousands of simulated histories to understand the distribution of outcomes that a given strategy could produce rather than simply the outcome it did produce. A strategy that produces excellent results in 95% of simulated histories but catastrophic ruin in 5% of them is not a good strategy even if the actual history you happened to live through fell in the 95%. You only live one history. The 5% matters. The dentist versus the trader comparison is one of the book’s sharpest illustrations. The dentist applies a skill reliably every day. The outcome is tightly coupled to his competence. The feedback loop is clear and rapid. The successful trader, by contrast, may be applying no skill whatsoever and simply riding a bull market, a particular volatility regime or a lucky sequence of correlated bets. The trader may make twenty times the dentist’s income. This does not mean the trader is twenty times more skilled. It may mean he is occupying a position with enormous randomness in its payoff structure and he happened to draw well. The book also addresses the psychological costs of living in a world of randomness. Taleb distinguishes between the intellectual acceptance of randomness and the emotional experience of it. He describes the practice of Stoic philosophy not as a way of not caring about outcomes but as a way of maintaining rational functioning while caring about them. The Stoics’ dichotomy of control, drawing a sharp line between what is within your power and what is not, is a practical tool for navigating a stochastic environment without being psychologically destroyed by it. The problem of induction runs through the entire book. You cannot infer the stability of a process from the number of times it has produced a given outcome. A thousand observations of a white swan do not prove all swans are white. A thousand days of market tranquillity do not prove the market is tranquil. A thousand successful trades using a strategy that is secretly accumulating tail risk do not prove the strategy works. The past is a misleading guide to the future in domains governed by fat-tailed distributions because the most important events are precisely those that have not yet occurred. The Black Swan (2007): The Architecture of Extreme Events The second book is the Incerto’s most famous and most widely misread. The Black Swan is not primarily a book about rare events. It is a book about the structure of knowledge and ignorance in domains where rare events dominate outcomes. The distinction is crucial. Taleb divides the empirical world into two provinces. Mediocristan is the domain of variables governed by the law of large numbers and the Gaussian bell curve. Height, weight, calorie intake and IQ all belong here. In Mediocristan, no single observation can dramatically change the average. If you line up a thousand people and add the world’s tallest person to the sample, the average height barely moves. Extremistan is the domain of variables where a single observation can dwarf all previous observations combined. Wealth, book sales, city populations, financial returns, war casualties and pandemic fatalities all belong here. Add Jeff Bezos to a sample of a thousand people and the average wealth is transformed entirely. In Extremistan, the Gaussian bell curve is not merely imprecise. It is dangerously wrong. The intellectual scandal Taleb is exposing is that modern finance and economics imported Gaussian statistics from the physical sciences and applied them wholesale to Extremistan phenomena. The result was a systematic underestimation of the probability and magnitude of extreme events. Value-at-risk models, option pricing frameworks built on Black-Scholes-Merton assumptions and portfolio diversification strategies based on correlation matrices all assumed that the tails of the distribution were thin and well-behaved. They were not. They were fat. The losses that these models said were once-in-ten-thousand-year events were occurring every decade. The Black Swan is defined as an event that is outside the realm of regular expectations, that carries extreme impact and that after the fact is made to appear explainable and predictable. The third characteristic is as important as the first two. Black Swans are not merely surprising. They are subsequently rationalised. Once an event occurs, human beings construct narratives that make it seem inevitable. The financial crisis of 2008 was, in retrospect, “obvious.” The rise of the internet was, in retrospect, “predictable.” The collapse of the Soviet Union was, after it happened, described as something that anyone paying attention should have foreseen. This retrospective predictability is an illusion. It is the narrative fallacy at work. The narrative fallacy is the human compulsion to impose causal stories on sequences of events. Stories are cognitively efficient. They compress information, assign causation and create the experience of understanding. But the story is not the reality. The story removes the complexity, the contingency and the role of accident. Once you have a narrative, you stop seeing the alternative histories. You stop seeing that the outcome could easily have been different. The narrative creates an illusion of understanding that actively impedes genuine comprehension. The problem of silent evidence extends survivorship bias into historical analysis. We read the accounts of soldiers who survived

    44 min
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The books, frameworks and ways of thinking I most want my son to encounter, preserved before I forget why they mattered. tiwaryshailesh.substack.com

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