{"name":"ReadGlobe — Mental Models","description":"A verified reference of mental models: what each is, how it works, when to use it, and its pitfalls. Free to cite with attribution.","license":"CC BY 4.0","licenseUrl":"https://creativecommons.org/licenses/by/4.0/","source":"https://readglobe.com","version":"1","count":88,"models":[{"slug":"first-principles-thinking","name":"First-principles thinking","discipline":"Physics & reasoning","answer":"First-principles thinking is breaking a problem down to its most basic, undeniable truths and reasoning up from there — rather than reasoning by analogy to how things are usually done. It strips away inherited assumptions and rebuilds from the ground.","how":"Instead of accepting inherited conclusions (“this is how it’s done”), you ask “what do I actually know to be fundamentally true?” and reconstruct the solution from those atoms — exposing assumptions that were never necessary in the first place.","example":"Rather than accept that battery packs “cost $600/kWh because they always have,” break the cost into raw materials — cobalt, nickel, carbon — priced on the commodity market. The floor turns out to be far lower, revealing a path to build them differently. This is famously how Tesla reframed battery cost.","pitfall":"It’s slow and effortful — most decisions don’t justify rebuilding from scratch. Applied to everything, it wastes time re-deriving what convention already got right.","related":["inversion","occams-razor","circle-of-competence"],"url":"https://readglobe.com/model/first-principles-thinking/"},{"slug":"second-order-thinking","name":"Second-order thinking","discipline":"Systems thinking","answer":"Second-order thinking is considering not just the immediate result of a decision but the consequences of those consequences — the “and then what?” effects that ripple out over time. First-order thinking stops at the obvious; second-order traces the chain.","how":"For any action you ask “and then what happens?” repeatedly, mapping downstream and delayed effects, feedback loops, and how other people will respond — catching outcomes the first-order view never sees.","example":"Cutting prices wins customers (first-order) — and then competitors cut too, margins collapse across the industry, and you’ve trained customers to wait for discounts (second-order). The obvious win quietly sets up the later loss.","pitfall":"Taken too far it becomes analysis paralysis — every chain is effectively infinite. The skill is stopping at the consequences that are both likely and material.","related":["inversion","opportunity-cost","margin-of-safety"],"url":"https://readglobe.com/model/second-order-thinking/"},{"slug":"inversion","name":"Inversion","discipline":"Reasoning","answer":"Inversion is solving a problem from the opposite end — asking how to fail, then avoiding that. Instead of “how do I succeed?”, you ask “what would guarantee disaster?” and systematically eliminate it.","how":"Many problems are far easier to solve in reverse. Listing the ways to cause the bad outcome surfaces concrete, avoidable mistakes that the forward-looking “how to win” framing glosses over.","example":"Asked how to have a great career, invert it: how would you ruin one? Unreliability, never learning, bad relationships, wrecked health. Avoiding those guarantees more than any positive plan. It was Charlie Munger’s signature move: “All I want to know is where I’m going to die, so I’ll never go there.”","pitfall":"Avoiding failure isn’t the same as achieving excellence — inversion sets a floor, not a ceiling. Pair it with forward-looking goals.","related":["first-principles-thinking","second-order-thinking","margin-of-safety"],"url":"https://readglobe.com/model/inversion/"},{"slug":"opportunity-cost","name":"Opportunity cost","discipline":"Economics","answer":"Opportunity cost is the value of the best alternative you give up when you make a choice. The true cost of anything isn’t just its price — it’s everything you could have done with the same time, money, or attention instead.","how":"Every “yes” is a “no” to everything else you could have done with that resource. Reckoning the foregone best alternative reveals the real cost the sticker price hides.","example":"A “free” two-hour meeting isn’t free. Those two hours could have shipped a feature, closed a sale, or rested you for tomorrow. The meeting’s real cost is the most valuable of those foregone alternatives.","pitfall":"Over-applied, it breeds paralysis and FOMO — every choice mourns infinite alternatives. Reserve it for significant allocations of time and money, not every small decision.","related":["second-order-thinking","margin-of-safety"],"url":"https://readglobe.com/model/opportunity-cost/"},{"slug":"circle-of-competence","name":"Circle of competence","discipline":"Investing & decision-making","answer":"Your circle of competence is the set of areas where you genuinely have expertise. The model says: know its boundary, operate inside it, and be honest about what lies outside — because most costly errors come from acting confidently beyond your real knowledge.","how":"What matters isn’t how big the circle is but how well you know its edge. Staying inside it, and either learning or deferring at the boundary, prevents the overconfident mistakes that do the real damage.","example":"Warren Buffett avoided technology stocks for decades — not because they were bad investments, but because they sat outside his circle. He compounded enormous returns by hitting the easy pitches inside it and ignoring everything else.","pitfall":"Used as an excuse, it justifies never learning anything new. The point is honesty about the edge plus deliberate expansion — not permanent comfort.","related":["first-principles-thinking","margin-of-safety"],"url":"https://readglobe.com/model/circle-of-competence/"},{"slug":"occams-razor","name":"Occam’s razor","discipline":"Logic & science","answer":"Occam’s razor is the principle that, among competing explanations, the one requiring the fewest assumptions is usually the best place to start. Simpler explanations are more likely and easier to test — not always right, but the right default.","how":"Each extra assumption is another thing that can be wrong, so simpler hypotheses have fewer ways to fail and are easier to disprove. It’s a heuristic for prioritising what to test first, not a law of truth.","example":"Your website is down. Occam’s razor says check the simple causes first — expired domain, a typo in the config, the server switched off — before theorising about a coordinated attack. “When you hear hoofbeats, think horses, not zebras.”","pitfall":"Reality is sometimes genuinely complex, and the simplest explanation can be wrong. It’s a starting heuristic, not a guarantee — don’t amputate necessary complexity.","related":["first-principles-thinking","inversion"],"url":"https://readglobe.com/model/occams-razor/"},{"slug":"map-is-not-the-territory","name":"The map is not the territory","discipline":"General semantics","answer":"“The map is not the territory” means any model, description, or belief is a simplified representation of reality — never reality itself. Maps are useful precisely because they leave things out, but mistaking the map for the terrain leads you astray.","how":"Every model omits detail to be usable. Trouble starts when we forget the omission and treat the abstraction — a metric, a stereotype, a plan — as the full reality it merely stands for.","example":"A company optimising purely for its headline KPI (the map) can wreck the actual goal (the territory) — maximising “calls handled per hour” while customer satisfaction quietly collapses. The metric was never the thing itself.","pitfall":"Knowing maps are imperfect can tip into dismissing all models (“nothing is really knowable”). The point is to use maps while remembering their limits — not to abandon them.","related":["first-principles-thinking","second-order-thinking"],"url":"https://readglobe.com/model/map-is-not-the-territory/"},{"slug":"margin-of-safety","name":"Margin of safety","discipline":"Engineering & investing","answer":"Margin of safety is building a buffer between what you expect and what you can withstand — so that errors, bad luck, or wrong assumptions don’t cause catastrophe. You plan for the world being worse than your best estimate.","how":"Because forecasts are uncertain and the downside is often asymmetric, you leave room: buy below estimated value, build stronger than the rated load, keep more cash than the expected need. The buffer absorbs being wrong.","example":"A bridge rated for 10-ton trucks is built to hold 30 — engineers don’t trust their load estimates to be exact. Value investors apply the same logic: buy a $1 asset for 60¢ so that a misjudgement still leaves room to be wrong.","pitfall":"Too much margin wastes resources and forgoes opportunity. The skill is sizing the buffer to the stakes and the uncertainty — not maximising it blindly.","related":["opportunity-cost","second-order-thinking","inversion"],"url":"https://readglobe.com/model/margin-of-safety/"},{"slug":"pareto-principle","name":"The Pareto principle","discipline":"Economics & productivity","answer":"The Pareto principle — the 80/20 rule — observes that for many outcomes, roughly 80% of effects come from 20% of causes. A small share of inputs (customers, effort, code, sources) produces most of the results.","how":"Effects are rarely distributed evenly; they concentrate. Identifying the vital few inputs that drive most of the output lets you focus effort where it compounds and stop spreading it thinly across the trivial many.","example":"A business often finds ~80% of revenue comes from ~20% of clients; a codebase has ~80% of crashes from ~20% of bugs. Fixing the vital few beats spreading effort evenly across everything.","pitfall":"The ratio is a rough observation, not a law — it may be 90/10 or 70/30. And the “unimportant” 80% isn’t always disposable (the long tail can matter). Use it to prioritise, not to justify neglect.","related":["opportunity-cost","first-principles-thinking"],"url":"https://readglobe.com/model/pareto-principle/"},{"slug":"compounding","name":"Compounding","discipline":"Finance & growth","answer":"Compounding is growth that feeds on itself: returns generate further returns, so gains accelerate over time rather than adding up linearly. Small, consistent advantages — in money, skill, or relationships — become enormous given enough time.","how":"When each period’s output becomes the next period’s input, growth is exponential, not additive. The curve looks almost flat for a long time, then bends sharply upward — so most of the payoff arrives late.","example":"€1,000 at 10% a year is €1,100 after year one — but about €17,400 after 30 years, with most of the growth in the final decade. The same shape governs skills, audiences, and reputations.","pitfall":"Compounding needs uninterrupted time and a protected base; volatility, withdrawals, or one big drawdown break it. It also demands patience the impatient rarely have — the flat early years feel like failure.","related":["margin-of-safety","opportunity-cost"],"url":"https://readglobe.com/model/compounding/"},{"slug":"hanlons-razor","name":"Hanlon’s razor","discipline":"Reasoning","answer":"Hanlon’s razor says: never attribute to malice that which is adequately explained by stupidity, carelessness, or circumstance. Most harm done to you isn’t a deliberate attack — it’s error, oversight, or someone not thinking about you at all.","how":"Malice is a costly, rare explanation; incompetence and inattention are common. Defaulting to the cheaper explanation usually fits the facts better — and spares you needless conflict and stress.","example":"A colleague leaves you off an email thread. Malice? More likely they simply forgot. Assuming a slight breeds resentment; assuming an oversight gets it fixed with a polite note.","pitfall":"It’s a default, not a denial of genuine malice — a pattern of “mistakes” that always benefit one party is a signal. Don’t use it to excuse repeated, self-serving harm.","related":["occams-razor","inversion"],"url":"https://readglobe.com/model/hanlons-razor/"},{"slug":"antifragility","name":"Antifragility","discipline":"Risk (Nassim Taleb)","answer":"Antifragility is the property of things that gain from disorder — they grow stronger under stress, volatility, and shocks rather than merely resisting them. It goes beyond resilience: the resilient survive chaos; the antifragile improve because of it.","how":"Some systems have asymmetric exposure to randomness — small stressors trigger adaptation and overcompensation. Muscles, immune systems, and decentralised markets strengthen from manageable shocks, provided no single shock is fatal.","example":"Muscles weaken without stress and strengthen under progressive load plus rest. A startup that learns fast from small failures becomes antifragile; one built merely to be shock-proof stays static.","pitfall":"Antifragility needs bounded, survivable stressors — a fatal shock kills before any gain. It’s not “embrace all chaos”; it’s “expose to small shocks, cap the catastrophic ones.”","related":["margin-of-safety","inversion","second-order-thinking"],"url":"https://readglobe.com/model/antifragility/"},{"slug":"bayesian-thinking","name":"Bayesian thinking","discipline":"Probability","answer":"Bayesian thinking is updating your beliefs in proportion to new evidence — starting from a prior probability and revising it as data arrives, rather than holding fixed opinions. Strong evidence should shift you a lot; weak evidence, only a little.","how":"You begin with a prior (your best estimate before new data), weigh how likely the evidence is under competing hypotheses, and update to a posterior. Beliefs become probabilities you revise, not flags you plant.","example":"A test is 99% accurate and you test positive for a rare disease (1 in 10,000). Naively that feels near-certain — but factoring the low prior (Bayes), most positives are false alarms. The base rate dominates.","pitfall":"Garbage priors or motivated weighting corrupt the update — Bayesian reasoning is only as good as the honesty of your priors and your reading of the evidence. It’s a discipline, not a calculator that removes judgement.","related":["first-principles-thinking","regression-to-the-mean"],"url":"https://readglobe.com/model/bayesian-thinking/"},{"slug":"lindy-effect","name":"The Lindy effect","discipline":"Probability & time","answer":"The Lindy effect says that for non-perishable things — ideas, books, technologies — life expectancy grows with age. The longer something has already survived, the longer it’s likely to last. A book in print 50 years will probably outlast one published this year.","how":"For things that don’t age biologically, survival is evidence of robustness. Each extra year a non-perishable thing endures raises the expectation of its remaining life, because it has passed more tests of time.","example":"Euclid’s geometry has been used for ~2,300 years and will likely be taught for centuries more; this year’s trendy framework will probably be forgotten within a decade. Age predicts survival for non-perishables.","pitfall":"It applies only to non-perishable things — for people, machines, and biological systems, age means closer to the end, not further from it. And it’s probabilistic: some old things die, some new things endure.","related":["second-order-thinking","margin-of-safety"],"url":"https://readglobe.com/model/lindy-effect/"},{"slug":"regression-to-the-mean","name":"Regression to the mean","discipline":"Statistics","answer":"Regression to the mean is the tendency for extreme results to be followed by more average ones, simply because luck evens out. An exceptional performance is usually part skill, part chance — and the chance part rarely repeats.","how":"Most outcomes mix skill and luck. When you observe an extreme, an unusual dose of luck is often involved; next time luck reverts to typical, so the result drifts back toward the average — with no other cause needed.","example":"A rookie’s record-breaking first season is often followed by a weaker second — the “sophomore slump” — not because praise spoiled them, but because their peak mixed skill with luck that reverted. The same logic explains why punishing a bad result often “seems to work.”","pitfall":"It’s easy to mistake regression for cause — to credit a coach, a drug, or a scolding for improvement that would have happened anyway. Always ask whether an extreme baseline made reversion inevitable.","related":["second-order-thinking","bayesian-thinking"],"url":"https://readglobe.com/model/regression-to-the-mean/"},{"slug":"systems-thinking","name":"Systems thinking","discipline":"Systems theory","answer":"Systems thinking is understanding something by how its parts interact as a whole — through feedback loops, delays, and relationships — rather than analysing parts in isolation. Behaviour emerges from structure, so the system, not the individuals, often drives outcomes.","how":"A system’s parts connect through feedback loops (reinforcing or balancing) and delays. These structures produce patterns no single part explains; changing the structure changes behaviour more reliably than blaming or swapping parts.","example":"Adding a lane to a congested highway often increases traffic (induced demand): the structure — cheaper driving attracts more drivers — defeats the local fix. The jam is a property of the system, not the drivers.","pitfall":"Systems are complex and tempting to over-model — you can analyse forever and never act. And intervening at the wrong leverage point can backfire; fixes that ignore feedback often make things worse later.","related":["second-order-thinking","map-is-not-the-territory","opportunity-cost"],"url":"https://readglobe.com/model/systems-thinking/"},{"slug":"incentives","name":"Incentives","discipline":"Economics & psychology","answer":"Incentives are the rewards and punishments that drive behaviour. To predict what people will do, look not at what they say or intend but at what they are actually rewarded for. As Munger put it: \"show me the incentive and I will show you the outcome.\"","how":"Whenever you want to explain or predict behaviour — your own or an organisation’s — map the real rewards and penalties at play, including hidden and perverse ones. People rationalise, but they respond to incentives, often unconsciously, and the structure usually beats the intention.","example":"A call centre rewarded for calls-per-hour will rush customers and resolve nothing, driving repeat calls — the metric is hit while the goal (served, happy customers) is missed. The incentive, not the staff, produced the failure.","pitfall":"Over-applied, it slides into cynicism — treating every action as pure self-interest and missing the genuine values, norms, and altruism that also shape behaviour.","related":["second-order-thinking","systems-thinking","hanlons-razor"],"url":"https://readglobe.com/model/incentives/"},{"slug":"expected-value","name":"Expected value","discipline":"Probability & decision theory","answer":"Expected value is the average outcome of a decision if you could repeat it many times — each possible result weighted by its probability. It tells you which choice pays off in the long run, even when any single outcome is uncertain.","how":"For each option, multiply every possible outcome by its probability and sum them. Compare options by their expected value, not by their best or worst case — and remember a positive-expected-value bet can still lose on any single try.","example":"A lottery ticket costs $2; the prize is $1,000,000 at 1-in-10-million odds. Expected value = $1,000,000 × 0.0000001 = $0.10 — far below the $2 price. Positive-feeling, negative-value: on average you lose 90 cents on the dollar.","pitfall":"It assumes you can survive to repeat the bet. A positive-expected-value wager that risks ruin on a single try can be correct on paper and catastrophic in life, where you don’t get infinite repetitions.","related":["bayesian-thinking","margin-of-safety","regression-to-the-mean"],"url":"https://readglobe.com/model/expected-value/"},{"slug":"diminishing-returns","name":"Diminishing returns","discipline":"Economics","answer":"Diminishing returns is the principle that as you add more of one input, the extra output it produces eventually shrinks. The first unit of effort or resource yields a lot; each later unit yields less, until adding more is barely worth it.","how":"For any input, track the marginal output — the gain from one more unit — not the total. As that marginal gain falls, you approach the point where additional investment costs more than it returns, signalling time to stop, diversify, or change approach.","example":"Studying for an exam: the first two hours lift your grade a lot; the tenth hour adds almost nothing, and the fifteenth may hurt through fatigue. The input keeps rising while the return per hour collapses.","pitfall":"Mistaking a temporary plateau for true diminishing returns — sometimes a breakthrough lies just past the flat stretch. And some inputs compound rather than diminish; not everything follows the curve.","related":["pareto-principle","opportunity-cost","compounding"],"url":"https://readglobe.com/model/diminishing-returns/"},{"slug":"network-effects","name":"Network effects","discipline":"Economics & technology","answer":"A network effect is when a product or service becomes more valuable as more people use it. Each new user adds value for existing users — so growth feeds growth, and the largest network often wins by a widening margin.","how":"Identify whether each additional user makes the product better for others (a phone network, a marketplace, a language). If so, value scales with the user base, creating a self-reinforcing loop: more users → more value → more users.","example":"A telephone is useless if you’re the only owner, handy if a few friends have one, and indispensable when everyone does. Each new subscriber raised the value for every existing subscriber — the classic network effect that built telecoms, then social media.","pitfall":"Network effects can run in reverse — once users start leaving, the same loop accelerates collapse. And not every \"platform\" truly has them; many businesses claim network effects they don’t actually possess.","related":["economies-of-scale","switching-costs","compounding"],"url":"https://readglobe.com/model/network-effects/"},{"slug":"comparative-advantage","name":"Comparative advantage","discipline":"Economics","answer":"Comparative advantage is the principle that you should specialise in what you give up the least to produce, then trade — even if someone else is better at everything. Relative cost, not absolute skill, is what makes trade and specialisation pay.","how":"Compare opportunity costs, not raw ability. Whoever sacrifices the least valuable alternative to make something has the comparative advantage in it. Both parties gain by each focusing where their opportunity cost is lowest and trading for the rest.","example":"A brilliant lawyer is also the fastest typist in town. She still hires a typist — because every hour she spends typing costs her far more in lost legal fees. Her comparative advantage is law; the typist’s is typing, even though she’s better at both.","pitfall":"It assumes trade is frictionless and gains are shared fairly. In reality, transition costs, power imbalances, and who captures the gains complicate the clean theory — and specialisation can create fragile dependence.","related":["opportunity-cost","supply-and-demand","marginal-thinking"],"url":"https://readglobe.com/model/comparative-advantage/"},{"slug":"supply-and-demand","name":"Supply and demand","discipline":"Economics","answer":"Supply and demand is the model that prices and quantities are set by the interaction of how much sellers offer and how much buyers want. Scarcity raises price; abundance lowers it; the two forces settle at a market-clearing equilibrium.","how":"For any good, ask what moves supply (cost, number of producers, technology) and what moves demand (need, income, substitutes), then see where they balance. A shift in either curve moves price and quantity toward a new equilibrium — a lens for almost any market.","example":"A surprise frost destroys half the coffee crop. Supply falls while demand is unchanged, so the price jumps. The higher price then rations the scarce beans and lures new growers — over time, supply recovers and price eases back.","pitfall":"Real markets are sticky and imperfect: monopolies, regulation, information gaps, and irrational buyers all distort the clean curves. Treating supply and demand as instant and frictionless is a common error.","related":["marginal-thinking","comparative-advantage","incentives"],"url":"https://readglobe.com/model/supply-and-demand/"},{"slug":"marginal-thinking","name":"Marginal thinking","discipline":"Economics & decision theory","answer":"Marginal thinking is making decisions based on the next additional unit — the extra cost and extra benefit of one more — rather than on totals or averages. Good decisions weigh the margin: is this next step worth it, here and now?","how":"For any \"more or less?\" decision, ignore sunk totals and ask about the increment: what does one more unit cost, and what does it add? Continue while marginal benefit exceeds marginal cost; stop when they cross. Averages and totals mislead; the margin decides.","example":"A full flight has one empty seat at departure. The average cost per seat is $200, but the marginal cost of the standby passenger is near zero — so selling that last seat for $50 is pure profit. Average cost says no; marginal thinking says yes.","pitfall":"It can quietly justify crossing lines \"just this once\" — each increment looks small, but the cumulative drift (the \"marginal cost\" trap Clayton Christensen warned of) can lead somewhere you’d never have chosen wholesale.","related":["opportunity-cost","diminishing-returns","expected-value"],"url":"https://readglobe.com/model/marginal-thinking/"},{"slug":"switching-costs","name":"Switching costs","discipline":"Business strategy","answer":"Switching costs are the time, money, effort, and risk a customer must spend to move from one product to a competitor. High switching costs lock customers in, protecting a business even when rivals offer something better or cheaper.","how":"Identify what a customer would lose by leaving — relearning, data migration, lost integrations, contract penalties, social ties. The higher those costs, the stickier the customer and the stronger the moat, regardless of the product’s standalone quality.","example":"A company runs its entire operation on one accounting platform — years of data, trained staff, dozens of integrations. A rival is cheaper and slicker, but migrating risks chaos, retraining, and downtime. The switching cost, not the product, keeps them.","pitfall":"Switching costs built on lock-in rather than value breed resentment, and customers flee the moment a frictionless alternative appears. Durable stickiness comes from genuine value; coercive lock-in is a moat that’s also a liability.","related":["network-effects","economies-of-scale","compounding"],"url":"https://readglobe.com/model/switching-costs/"},{"slug":"economies-of-scale","name":"Economies of scale","discipline":"Economics","answer":"Economies of scale are the cost advantages a business gains as it grows: producing more spreads fixed costs over more units, so the cost per unit falls. Bigger players can charge less, invest more, and squeeze out smaller rivals.","how":"Separate fixed costs (factory, software, R&D) from variable costs (materials per unit). As volume rises, fixed costs are shared across more units, dropping average cost. Watch for where this advantage flips into diseconomies — bureaucracy and complexity at very large size.","example":"A factory costs $1M to build. Make 1,000 units and the fixed cost adds $1,000 each; make 1,000,000 and it adds $1. The giant manufacturer’s per-unit cost is a fraction of the small workshop’s — the same machine, spread thinner.","pitfall":"Scale isn’t free forever — past a point, coordination, bureaucracy, and complexity create diseconomies of scale, where each extra unit costs more. Bigger is cheaper only up to the point where the organisation can still manage itself.","related":["network-effects","switching-costs","pareto-principle"],"url":"https://readglobe.com/model/economies-of-scale/"},{"slug":"game-theory","name":"Game theory","discipline":"Mathematics & strategy","answer":"Game theory is the study of strategic decisions, where your best move depends on what others choose and theirs depends on you. It models situations as \"games\" with players, choices, and payoffs — revealing why rational individuals sometimes reach bad collective outcomes.","how":"Map the players, their possible choices, and the payoff each combination gives everyone. Then reason about how others will act in their own interest, and choose your move anticipating theirs — looking for equilibria where no one can improve by changing alone.","example":"Two rival shops both want to cut prices to win customers. If both hold, both profit; if one cuts, it grabs the market; fearing that, both cut — and both end up worse off. Individually rational choices produce a collectively bad result.","pitfall":"Classic game theory assumes rational, self-interested players with known payoffs — real people are emotional, cooperative, repeat the game, and misread the stakes. The models illuminate the logic but rarely capture the full mess of human behaviour.","related":["second-order-thinking","tragedy-of-the-commons","incentives"],"url":"https://readglobe.com/model/game-theory/"},{"slug":"tragedy-of-the-commons","name":"Tragedy of the commons","discipline":"Economics & ecology","answer":"The tragedy of the commons is when individuals, each acting in their own rational self-interest, deplete a shared resource that everyone needs — because the benefit of overusing it is personal while the cost is spread across all.","how":"Look for a shared, finite resource with open access and no coordination. Each user gains the full benefit of taking more but bears only a fraction of the depletion, so everyone over-uses and the resource collapses — a structural trap, not a failure of character.","example":"A shared pasture: each herder gains by adding one more cow, but the overgrazing cost is split among all. Every herder reasons the same way, the herd grows past the land’s capacity, and the pasture is destroyed for everyone.","pitfall":"It’s often treated as inevitable, but Elinor Ostrom showed communities frequently self-govern commons successfully through local rules and trust. The \"tragedy\" is a risk to manage, not an iron law — over-applying it can justify needless privatisation or top-down control.","related":["game-theory","incentives","systems-thinking"],"url":"https://readglobe.com/model/tragedy-of-the-commons/"},{"slug":"chestertons-fence","name":"Chesterton's fence","discipline":"Reasoning & reform","answer":"Chesterton's fence is the principle that you should not remove or change something until you understand why it was put there in the first place. If a rule or structure seems pointless, that’s a reason to investigate — not to demolish.","how":"Before reforming or deleting anything — a rule, a process, a piece of code, a tradition — first reconstruct the reason it exists. Only once you genuinely understand its purpose are you qualified to judge whether it is safe to change or remove.","example":"A new manager scraps a \"pointless\" weekly check-in to save time. Within a month, small problems the meeting used to catch early have ballooned into crises. The fence had a function that wasn’t visible from where she stood.","pitfall":"It can become an excuse for never changing anything — \"we don’t fully understand it, so leave it.\" Once you do understand the reason and it no longer holds, removal is exactly right. The fence is a pause, not a veto.","related":["second-order-thinking","inversion","lindy-effect"],"url":"https://readglobe.com/model/chestertons-fence/"},{"slug":"goodharts-law","name":"Goodhart's law","discipline":"Economics & measurement","answer":"Goodhart's law states that when a measure becomes a target, it ceases to be a good measure. Once people are rewarded for a metric, they optimise the metric itself — often at the expense of the real goal it was meant to track.","how":"Whenever you set a target or KPI, distinguish the metric from the underlying goal it stands for. Then ask how people could hit the number without achieving the goal — and assume they eventually will, because incentives reward the measure, not the intention.","example":"A hospital judged on ER wait times starts logging patients as \"seen\" the moment a nurse greets them, or keeps ambulances queued outside. The wait-time metric improves while actual care doesn’t — the target corrupted the measure.","pitfall":"The lesson isn’t \"never measure\" — you need metrics to manage. The error is trusting any single metric too much. Over-correcting into metric-phobia leaves you flying blind; the fix is better, harder-to-game measures, not none.","related":["incentives","second-order-thinking","systems-thinking"],"url":"https://readglobe.com/model/goodharts-law/"},{"slug":"parkinsons-law","name":"Parkinson's law","discipline":"Organisations & productivity","answer":"Parkinson's law is the observation that work expands to fill the time available for its completion. Give a task a week and it takes a week; give it a day and it often takes a day — because tasks stretch to consume whatever time they’re allotted.","how":"Set deliberately tight, specific deadlines and constraints rather than generous ones, since available time and resources tend to get used up regardless of the task’s true size. Constraints force prioritisation; slack invites padding, perfectionism, and procrastination.","example":"A report due in a month gets started in week three and finished in a frantic final week — the same quality it would have reached in a few focused days. The extra weeks filled with worry and minor fiddling, not real progress.","pitfall":"Pushed too hard, artificial deadlines wreck quality and burn people out — not all work compresses, and some genuinely needs time to mature. The law describes a tendency to exploit, not a licence to slash every timeline to the bone.","related":["pareto-principle","diminishing-returns","incentives"],"url":"https://readglobe.com/model/parkinsons-law/"},{"slug":"skin-in-the-game","name":"Skin in the game","discipline":"Risk & ethics","answer":"Skin in the game means having a personal stake in an outcome — sharing in the losses, not just the gains. Nassim Taleb’s principle holds that those who make decisions should bear their consequences, or their judgement and incentives become dangerously distorted.","how":"When weighing anyone’s advice, forecast, or decision, ask what they personally lose if they’re wrong. Trust those who are exposed to the downside; discount those who capture the upside while offloading the risk onto others.","example":"A banker who earns huge bonuses on risky trades but loses nothing personally when they blow up has no skin in the game — so they take reckless bets. Heads they win, tails the taxpayer pays. The missing downside corrupts the decision.","pitfall":"Skin in the game improves incentives but doesn’t guarantee good judgement — people with real stakes still make terrible decisions. And some valuable advisers (teachers, researchers) legitimately can’t share every downside. It’s a filter, not a complete test.","related":["incentives","antifragility","margin-of-safety"],"url":"https://readglobe.com/model/skin-in-the-game/"},{"slug":"optionality","name":"Optionality","discipline":"Risk & strategy","answer":"Optionality is having choices with limited downside and large potential upside — keeping options open so you can benefit from good outcomes while capping your losses on bad ones. It is valuable precisely because the future is uncertain.","how":"Favour positions that cost little to hold but could pay off big — small bets, reversible decisions, kept-open doors. Pay to preserve choices when uncertainty is high, and avoid locking yourself into a single path when you don’t yet know which will win.","example":"Taking a side project that costs a few evenings but could become a business: the downside is some lost weekends, the upside is unbounded. A portfolio of such small, capped bets needs only one to hit to pay for all the misses.","pitfall":"Optionality has a cost — keeping every door open means committing to nothing, and value usually requires eventually choosing and going deep. Collecting options forever (\"optionality addiction\") is its own trap; at some point you must exercise.","related":["antifragility","margin-of-safety","expected-value"],"url":"https://readglobe.com/model/optionality/"},{"slug":"via-negativa","name":"Via negativa","discipline":"Reasoning & decision","answer":"Via negativa is the principle that improvement often comes from removing the harmful, false, or unnecessary rather than adding something new. Knowing what to subtract — bad habits, weak links, wrong ideas — is frequently more powerful and reliable than knowing what to add.","how":"Before adding a feature, rule, habit, or solution, ask what could be removed instead. Subtraction is robust: eliminating a clear negative reliably helps, whereas additions bring side effects and unknowns. Improve by deletion first, addition second.","example":"A cluttered app gets faster and better-loved not by adding features but by deleting the half-used ones — fewer bugs, less confusion, a cleaner core. Removing the noise revealed the value the additions had been burying.","pitfall":"Not everything improves by subtraction — sometimes you genuinely need to add capability, and over-aggressive removal strips out useful things (see Chesterton’s fence). Via negativa is a strong default and first move, not a universal law.","related":["inversion","occams-razor","antifragility"],"url":"https://readglobe.com/model/via-negativa/"},{"slug":"peter-principle","name":"The Peter principle","discipline":"Organisations","answer":"The Peter principle states that in a hierarchy, people tend to rise to their level of incompetence. Workers are promoted for being good at their current job — until they reach a role they’re bad at, where they stay, no longer competent enough to be promoted further.","how":"Notice that promotion usually rewards excellence at the current job, not aptitude for the next one — which are often different skills. The result is that competent people get promoted out of roles they’re great at into ones they struggle with.","example":"A brilliant engineer is promoted to manage engineers. The skills that made her great at coding — deep focus, solo problem-solving — are nearly the opposite of management. She’s now a mediocre manager and the team lost its best engineer: two losses from one promotion.","pitfall":"It’s a tendency, not a law — many people grow into harder roles, and good organisations train and screen for the next level. Treating it as inevitable becomes an excuse for poor management rather than a prompt to fix promotion design.","related":["circle-of-competence","incentives","comparative-advantage"],"url":"https://readglobe.com/model/peter-principle/"},{"slug":"dunbars-number","name":"Dunbar's number","discipline":"Anthropology & social systems","answer":"Dunbar's number is the theory that humans can maintain only about 150 stable social relationships — the cognitive limit on the number of people with whom you can sustain meaningful, reciprocal connections. Beyond it, groups need rules and hierarchy to hold together.","how":"Treat ~150 as a rough ceiling on genuine relationships, with tighter inner layers (close friends ~15, intimate ~5). When a community, team, or company grows past it, expect informal trust to break down and formal structure to become necessary.","example":"A startup runs smoothly on trust and informal coordination at 50 people. Past ~150 it descends into confusion — people no longer know each other — and must add management layers, process, and explicit roles to function. The number marks the phase change.","pitfall":"The figure is approximate and contested — it varies by person and context, and the precise \"150\" shouldn’t be taken literally. Social media also complicates \"relationship.\" Use it as an order-of-magnitude guide, not a hard cap.","related":["network-effects","systems-thinking","incentives"],"url":"https://readglobe.com/model/dunbars-number/"},{"slug":"prisoners-dilemma","name":"Prisoner's dilemma","discipline":"Game theory","answer":"The prisoner's dilemma is a game where two players each do better by betraying the other, so both betray and both end up worse than if they had cooperated. It shows how individually rational choices can produce a collectively bad outcome.","how":"Recognise the structure: each player’s best individual move (defect) leads to mutual defection, which is worse for both than mutual cooperation — yet cooperation is unstable because each fears the other’s betrayal. The dilemma is the trap this payoff structure sets.","example":"Two suspects are interrogated separately. If both stay silent, each gets 1 year; if both confess, 5 years; if one confesses while the other stays silent, the confessor goes free and the silent one gets 10. Fearing betrayal, both confess — and get 5 years instead of 1.","pitfall":"The one-shot dilemma is bleak, but most real life is repeated, where reputation and retaliation make cooperation rational (tit-for-tat). Treating every interaction as a one-shot dilemma breeds needless cynicism and destroys the trust that repeated games reward.","related":["game-theory","tragedy-of-the-commons","incentives"],"url":"https://readglobe.com/model/prisoners-dilemma/"},{"slug":"red-queen-effect","name":"Red Queen effect","discipline":"Evolution & competition","answer":"The Red Queen effect is the need to keep improving just to maintain your position, because competitors and the environment are improving too. Like the Red Queen in Through the Looking-Glass, you must run as fast as you can simply to stay in the same place.","how":"In any competitive or co-evolving system, treat standing still as falling behind. Progress is relative: an improvement that doesn’t outpace rivals’ improvements yields no lasting advantage. Expect that every edge erodes as others adapt to it.","example":"Predator and prey co-evolve: faster cheetahs select for faster gazelles, which select for faster cheetahs. Neither gains lasting ground — both invest enormous energy in speed just to keep the same balance. The race never ends, and standing still means extinction.","pitfall":"Not every competition is a Red Queen race — sometimes you can change the game, find an uncontested niche, or build a durable moat that ends the running. Assuming you must always race harder can trap you in exhausting, unwinnable competition.","related":["antifragility","game-theory","lindy-effect"],"url":"https://readglobe.com/model/red-queen-effect/"},{"slug":"creative-destruction","name":"Creative destruction","discipline":"Economics","answer":"Creative destruction is the process by which new innovations replace and dismantle the old — Joseph Schumpeter’s term for how capitalism continually revolutionises itself from within, destroying established companies and industries even as it creates new ones.","how":"See economic progress as inherently disruptive: growth comes not from doing the old thing better but from new methods, products, and firms displacing incumbents. Expect that today’s dominant business is tomorrow’s casualty, and that the destruction is the flip side of the creation.","example":"Streaming destroyed the video-rental industry (Blockbuster), digital then smartphone cameras destroyed film (Kodak), and ride-hailing reshaped taxis. Each new method created enormous value while dismantling the established businesses it replaced — creation and destruction in one motion.","pitfall":"The \"creative\" and \"destructive\" halves don’t fall on the same people. Aggregate progress can coexist with real, concentrated harm to displaced workers and communities — ignoring that human cost is a common and callous misreading of the model.","related":["antifragility","lindy-effect","red-queen-effect"],"url":"https://readglobe.com/model/creative-destruction/"},{"slug":"emergence","name":"Emergence","discipline":"Complexity science","answer":"Emergence is when a system exhibits properties or behaviours that its individual parts do not have on their own. The whole becomes qualitatively different from the sum of its parts — wetness from water molecules, consciousness from neurons, a market from traders.","how":"Resist explaining a system purely by dissecting its parts. Ask what new properties arise from the interactions and organisation of the components — properties that exist only at the higher level and vanish when you zoom in.","example":"A single ant is nearly mindless, following simple chemical rules. Yet a colony builds bridges, farms fungus, wages war, and regulates its workforce — intelligence that exists nowhere in any individual ant. The behaviour emerges from their interaction, not their brains.","pitfall":"Emergence can become a mystical hand-wave — labelling something \"emergent\" instead of explaining it. The interactions are still physical; the term names a real phenomenon but isn’t itself an explanation of how the higher-level property arises.","related":["systems-thinking","network-effects","second-order-thinking"],"url":"https://readglobe.com/model/emergence/"},{"slug":"entropy","name":"Entropy","discipline":"Physics & information","answer":"Entropy is a measure of disorder, and physics says it always increases in a closed system. As a mental model, it captures the universal tendency for things — rooms, organisations, relationships — to drift toward disorder unless energy is continually spent to maintain order.","how":"Treat order as costly and temporary. Anything organised — a tidy house, a coherent strategy, a healthy team — requires ongoing energy input just to stay as it is, because the natural drift is toward decay, mess, and disorganisation.","example":"A clean kitchen doesn’t stay clean — left alone, it gradually fills with clutter and grime. Keeping it ordered takes constant energy (cleaning); the disorder is free and automatic. The same drift afflicts every organised system.","pitfall":"The physics applies strictly to closed systems; life and organisations are open systems that import energy to create local order. Over-literal use (\"everything inevitably decays\") ignores that sustained effort genuinely can maintain and even grow order.","related":["systems-thinking","antifragility","compounding"],"url":"https://readglobe.com/model/entropy/"},{"slug":"critical-mass","name":"Critical mass","discipline":"Physics & social dynamics","answer":"Critical mass is the threshold at which a system becomes self-sustaining — the point where enough has accumulated for a process to keep going on its own. Below it, the effort fizzles; above it, growth or change becomes self-propelling.","how":"For any adoption, movement, or chain reaction, identify the threshold of participation, momentum, or density needed for it to sustain itself. Effort spent below the threshold can vanish; the goal is to reach the tipping point where the system carries itself.","example":"A new social app is useless with 100 users and self-sustaining with a million — but the hard part is the gap between. Below critical mass, each user finds little value and leaves; once enough join, the value pulls in more, and growth becomes self-propelling.","pitfall":"Not everything has a tipping point, and the threshold is hard to know in advance — many efforts pour resources chasing a critical mass that doesn’t exist for their case, or quit just before reaching it. The model explains take-offs but doesn’t guarantee one.","related":["network-effects","compounding","emergence"],"url":"https://readglobe.com/model/critical-mass/"},{"slug":"leverage","name":"Leverage","discipline":"Physics & strategy","answer":"Leverage is using a small input to produce a disproportionately large output — Archimedes’ \"give me a lever long enough and I will move the world.\" As a mental model, it asks where a little effort, capital, or insight can be amplified into outsized results.","how":"Look for amplifiers: capital, code, media, labour, relationships, and systems that multiply your effort. Rather than working harder linearly, find the lever — the point where the same input produces many times the output.","example":"A carpenter who builds tables earns per table — linear effort. One who writes a book on woodworking, or builds a tool other carpenters buy, sells the same work thousands of times. Code and media are leverage: the effort is paid once, the output scales without limit.","pitfall":"Leverage amplifies losses as much as gains — financial leverage (debt) magnifies a downturn into ruin, and any lever can swing both ways. High leverage without a margin of safety turns a small mistake into a catastrophe.","related":["compounding","pareto-principle","margin-of-safety"],"url":"https://readglobe.com/model/leverage/"},{"slug":"bottleneck","name":"Bottleneck","discipline":"Operations & systems","answer":"A bottleneck is the single constraint that limits the output of an entire system — the narrowest point through which everything must pass. The theory of constraints holds that improving anything except the bottleneck does nothing for overall throughput.","how":"Find the one step, resource, or factor that caps the whole system’s output, then focus all improvement there. Optimising non-bottlenecks is wasted effort — the system can only move as fast as its slowest constraint allows.","example":"A factory line runs at the speed of its slowest machine. Speeding up every other machine just piles up inventory in front of the slow one — output doesn’t rise at all until you fix the bottleneck itself. Then a new bottleneck appears elsewhere.","pitfall":"Bottlenecks move — fix one and another appears, so it’s a continuous process, not a one-time fix. And the visible bottleneck isn’t always the real one; mistaking a symptom for the constraint wastes the effort the model is meant to focus.","related":["systems-thinking","pareto-principle","leverage"],"url":"https://readglobe.com/model/bottleneck/"},{"slug":"path-dependence","name":"Path dependence","discipline":"Economics & history","answer":"Path dependence is when the outcomes available today are constrained by the sequence of decisions and events that came before — history matters, and early choices can lock in long after the reasons for them have vanished. Where you can go depends on where you’ve been.","how":"When analysing why something is the way it is, trace its history rather than assuming it’s the optimal current design. Early, sometimes accidental choices get entrenched by switching costs and network effects, locking in outcomes that no one would choose from scratch.","example":"The QWERTY keyboard was designed to slow typists and prevent jamming on 1870s typewriters. The jamming problem vanished long ago, but everyone learned QWERTY, so everyone keeps using it — a suboptimal layout locked in purely by history.","pitfall":"Path dependence can be overstated — sometimes the persisting choice is actually fine, and \"it’s just lock-in\" wrongly assumes a better alternative exists and would win if not for history. Lock-in is real, but not every legacy is a trap.","related":["switching-costs","lindy-effect","compounding"],"url":"https://readglobe.com/model/path-dependence/"},{"slug":"natural-selection","name":"Natural selection","discipline":"Biology & general systems","answer":"Natural selection is the process by which traits that aid survival and reproduction become more common over generations. As a general mental model, any system with variation, selection, and heredity will evolve — not just life, but ideas, products, companies, and cultures.","how":"Look for the three ingredients — variation (differences), selection (some survive or spread more), and heredity (winners are copied). Wherever all three exist, expect evolution: the system will, over time, become adapted to whatever is being selected for, with no designer required.","example":"Businesses in a market evolve like organisms: many variations launch (variation), most fail while a few thrive (selection), and successful models get copied (heredity). Over time the market fills with firms adapted to whatever customers reward — no master plan needed.","pitfall":"It selects for survival and reproduction, not goodness — evolution produces parasites and addictive products as readily as beneficial ones. Assuming \"it survived, so it must be good\" (a naturalistic fallacy) misreads what selection actually optimises for.","related":["antifragility","lindy-effect","red-queen-effect"],"url":"https://readglobe.com/model/natural-selection/"},{"slug":"signal-vs-noise","name":"Signal vs noise","discipline":"Information theory & statistics","answer":"The signal-to-noise model distinguishes meaningful information (signal) from random, irrelevant fluctuation (noise). Most data is mostly noise, and the core skill of good judgement is separating the few signals that matter from the overwhelming static around them.","how":"For any stream of data, news, or feedback, ask what is real, repeatable signal versus what is random variation. Resist reacting to noise — single data points, short-term swings, vivid anecdotes — and wait for the pattern that persists across the static.","example":"A daily-checked stock portfolio looks alarmingly volatile — up 2%, down 3%, up 1% — almost all noise. Zoom out to years and a clear upward signal emerges. The investor who reacts to the daily static trades badly; the one who waits for the signal does not.","pitfall":"You can over-filter and dismiss a real signal as noise (a costly false negative), or see signal in pure noise (the clustering illusion). Knowing how much data you need before a pattern is trustworthy is itself the hard part.","related":["regression-to-the-mean","bayesian-thinking","map-is-not-the-territory"],"url":"https://readglobe.com/model/signal-vs-noise/"},{"slug":"activation-energy","name":"Activation energy","discipline":"Chemistry & behaviour","answer":"Activation energy is the initial push required to start a reaction or change — the upfront cost of getting going, even when the change is beneficial once underway. As a mental model, it explains why beginnings are disproportionately hard, and why lowering the barrier unlocks action.","how":"When you (or others) won’t start something worthwhile, look at the barrier to entry, not the activity itself. Lower the activation energy — make starting trivially easy — and behaviour that seemed to need willpower suddenly flows. Conversely, raise it to block bad habits.","example":"You skip the gym not because the workout is hard but because getting there is — changing, driving, parking. Move the gym next door or sleep in your gym clothes, and attendance soars. The activity didn’t change; the activation energy did.","pitfall":"Lowering activation energy gets you started but doesn’t sustain anything — easy starts can become easy quits. And not all friction is bad; some barriers protect against impulsive or harmful action. The model is about beginnings, not maintenance.","related":["compounding","leverage","critical-mass"],"url":"https://readglobe.com/model/activation-energy/"},{"slug":"redundancy","name":"Redundancy","discipline":"Engineering & risk","answer":"Redundancy is having backup capacity — spare parts, reserves, multiple pathways — so that the failure of one component doesn’t bring down the whole system. It looks inefficient in good times and proves essential in bad ones.","how":"For anything you can’t afford to have fail, build in more than the minimum: a backup, a buffer, a second supplier, a cash reserve. Accept the apparent waste of duplicated capacity as the price of surviving the failures that single points of failure can’t.","example":"The human body has two kidneys, two lungs, and far more liver than it needs — apparent overkill that lets you survive losing one. Nature builds in redundancy everywhere, because the cost of duplication is small next to the cost of total failure.","pitfall":"Redundancy costs money and looks wasteful, so it’s the first thing cut in the name of efficiency — usually right before the failure it would have absorbed. But too much is genuinely wasteful; the art is matching redundancy to the cost of failure.","related":["margin-of-safety","antifragility","systems-thinking"],"url":"https://readglobe.com/model/redundancy/"},{"slug":"ergodicity","name":"Ergodicity","discipline":"Probability & risk","answer":"Ergodicity is whether the average outcome across many people (the ensemble average) equals the average for one person over time (the time average). When they differ — a non-ergodic system — what looks good \"on average\" can still ruin any individual who plays.","how":"Before trusting an \"expected value,\" ask whether the average across many parallel trials matches what happens to one person repeating the bet over time. If a single bad outcome removes you from the game (ruin), the time average diverges from the ensemble average — and the latter lies.","example":"Russian roulette pays well \"on average\" across many one-time players, but for one person playing repeatedly, ruin is certain. The ensemble average (across people) and the time average (one person over time) point in opposite directions — the bet that looks fine in aggregate kills the individual.","pitfall":"Ergodicity is subtle and easy to invoke incorrectly; not every repeated bet is non-ergodic, and many risks are perfectly survivable. The point isn’t to avoid all risk but to identify the specific bets where a single outcome ends your ability to keep playing.","related":["expected-value","margin-of-safety","antifragility"],"url":"https://readglobe.com/model/ergodicity/"},{"slug":"moat","name":"Economic moat","discipline":"Business strategy","answer":"An economic moat is a durable competitive advantage that protects a business from rivals, the way a moat protects a castle. Warren Buffett’s term for what lets a company sustain high returns over time without being competed away.","how":"Ask what stops competitors from copying a business and taking its profits. Real moats are structural — network effects, switching costs, scale, brand, patents, or low-cost production — not just a good product, which rivals can imitate.","example":"Coca-Cola’s formula is replicable, but its brand, distribution, and shelf-space dominance are not — a new cola can match the taste and still fail. That brand-and-distribution moat is why Coke has earned high returns for over a century.","pitfall":"Moats erode — technology and shifting tastes have drowned many \"unassailable\" castles (newspapers, Kodak, Blockbuster). Assuming a moat is permanent is how incumbents die; the question is not \"does it have a moat?\" but \"is the moat widening or narrowing?\"","related":["network-effects","switching-costs","economies-of-scale"],"url":"https://readglobe.com/model/moat/"},{"slug":"mr-market","name":"Mr. Market","discipline":"Investing","answer":"Mr. Market is Benjamin Graham’s parable for the stock market personified as a moody business partner who offers to buy or sell every day at wildly swinging prices. You’re free to ignore him — and should only deal when his mood offers you a bargain.","how":"Treat market prices as the offers of an emotional partner, not as statements of true value. When Mr. Market is euphoric he overpays (sell to him); when he’s despairing he sells cheap (buy from him). His mood is an opportunity, not a verdict on worth.","example":"A solid company’s stock drops 30% in a market panic, though nothing about the business changed. Mr. Market is simply terrified today and offering you his shares cheap. The rational investor buys the bargain; the emotional one catches his fear and sells.","pitfall":"It assumes you can independently estimate true value — without that, you can’t tell a bargain from a value trap, and \"be greedy when others are fearful\" becomes a recipe for catching falling knives. Sometimes Mr. Market’s pessimism is correct.","related":["bayesian-thinking","margin-of-safety","regression-to-the-mean"],"url":"https://readglobe.com/model/mr-market/"},{"slug":"barbell-strategy","name":"Barbell strategy","discipline":"Risk & investing","answer":"The barbell strategy is combining two extremes while avoiding the middle: pairing a very safe core with a small allocation of high-risk, high-upside bets. Nassim Taleb’s approach to thriving under uncertainty — protected on the downside, exposed to the upside.","how":"Split your exposure into two ends. Put most of it in maximally safe positions (cash, stability) so you can’t be ruined, and a small slice into capped-downside, uncapped-upside bets. Avoid the moderate \"medium-risk\" middle, which carries hidden tail risk without the upside.","example":"Instead of putting everything in \"medium-risk\" balanced funds, you hold 90% in cash and bonds (can’t be wiped out) and 10% in venture-style bets (could 10x). One winner pays for all the losers, while the safe core guarantees survival — the barbell’s two ends.","pitfall":"It can underperform a simple diversified portfolio in calm, trending markets, and the \"safe\" end is only as safe as you think (inflation erodes cash). The barbell optimises for surviving and benefiting from extremes, not for maximising returns in normal times.","related":["antifragility","optionality","margin-of-safety"],"url":"https://readglobe.com/model/barbell-strategy/"},{"slug":"flywheel","name":"Flywheel","discipline":"Business strategy","answer":"A flywheel is a self-reinforcing loop where each part feeds the next, so momentum builds over time. Jim Collins’ metaphor: early pushes are hard and produce little, but the accumulated turns make the wheel eventually spin almost by itself.","how":"Identify a virtuous cycle where each step strengthens the next (e.g., lower prices → more customers → more scale → lower prices). Push consistently on the loop rather than chasing disconnected initiatives; momentum compounds as the wheel turns.","example":"Amazon’s flywheel: lower prices draw more customers, which attracts more sellers, which widens selection, which draws still more customers — and growing scale lowers costs, enabling lower prices again. Each turn makes the next one easier.","pitfall":"Flywheels turn in reverse too — break one part of the loop and the momentum decays as powerfully as it built. And not every business has a genuine flywheel; forcing the metaphor onto disconnected steps creates a story, not momentum.","related":["compounding","network-effects","critical-mass"],"url":"https://readglobe.com/model/flywheel/"},{"slug":"local-vs-global-optimum","name":"Local vs global optimum","discipline":"Optimization & strategy","answer":"A local optimum is the best option within your immediate vicinity; a global optimum is the best option overall. The trap is that improving step by step can strand you on a local peak — better than everything nearby, yet far below the highest summit elsewhere.","how":"When optimising, ask whether you’re climbing the right hill at all. Small incremental improvements reliably reach a local peak, but reaching the global optimum often requires first going down — abandoning a decent position to cross the valley to a higher one.","example":"A company perfects its product through endless small tweaks until it’s the best of its kind — a local optimum. A rival reinvents the category entirely (a higher, global peak) and wins. The incumbent climbed its hill flawlessly; it was just the wrong hill.","pitfall":"Chasing the global optimum can mean endlessly abandoning good positions to search for a theoretical better one, never consolidating anything. Sometimes a local optimum is good enough, and the cost of crossing the valley exceeds the gain.","related":["first-principles-thinking","systems-thinking","second-order-thinking"],"url":"https://readglobe.com/model/local-vs-global-optimum/"},{"slug":"metcalfes-law","name":"Metcalfe's law","discipline":"Networks & technology","answer":"Metcalfe's law states that the value of a network grows roughly with the square of the number of its users (n²), because each new user can connect with all the others. Doubling the users roughly quadruples the potential connections — and the value.","how":"For any network, count not the users but the possible connections between them, which scale as n². This is why networks have explosive value growth past a point, why the biggest network dominates, and why being slightly larger compounds into being vastly more valuable.","example":"A messaging app with 10 users has 45 possible connections; with 100 users, 4,950; with 1,000, nearly 500,000. Tenfold more users yields roughly a hundredfold more connections — which is why a network that pulls ahead pulls away.","pitfall":"The n² figure overstates real value — not every connection is used or valuable, and later refinements suggest value grows more like n·log(n). The law captures the explosive, super-linear shape of network value, not a precise multiplier.","related":["network-effects","critical-mass","economies-of-scale"],"url":"https://readglobe.com/model/metcalfes-law/"},{"slug":"zero-sum-vs-positive-sum","name":"Zero-sum vs positive-sum","discipline":"Game theory & economics","answer":"A zero-sum game is one where one person’s gain is another’s exact loss — the pie is fixed. A positive-sum game is one where exchange and cooperation grow the pie, so everyone can come out ahead. Knowing which you’re in changes how you should play.","how":"For any interaction, ask whether the total value is fixed (zero-sum) or can be expanded (positive-sum). In zero-sum games, compete for your share; in positive-sum ones, the bigger win usually comes from cooperating to enlarge the whole — and the two demand opposite strategies.","example":"Two countries trading: each exports what it makes cheaply and imports what it doesn’t — both end up richer (positive-sum). Treating the same trade as zero-sum (\"their gain is our loss\") leads to tariffs that shrink the pie and leave both worse off.","pitfall":"Not everything is positive-sum — some competitions genuinely are zero-sum (a single job, a fixed prize), and naïvely cooperating there gets you exploited. The error runs both ways: treating zero-sum games as positive-sum is as costly as the reverse.","related":["game-theory","comparative-advantage","prisoners-dilemma"],"url":"https://readglobe.com/model/zero-sum-vs-positive-sum/"},{"slug":"preferential-attachment","name":"Preferential attachment","discipline":"Network science & sociology","answer":"Preferential attachment is the tendency for those who already have more to gain still more — \"the rich get richer.\" In networks and society, new connections, attention, or resources flow disproportionately to whoever already has the most, widening the gap over time.","how":"Wherever advantage is self-reinforcing — links to popular sites, citations to famous papers, wealth to the wealthy — expect a widening gap, not convergence. Early leads compound because success attracts further success, producing extreme, unequal distributions.","example":"A popular website gets linked to more because it’s already popular, which raises its ranking, which brings more visitors and more links. The early leader’s advantage compounds, while equally good latecomers stay obscure — the rich get richer.","pitfall":"It’s a strong tendency, not destiny — disruption, novelty, and changing tastes can topple the entrenched (preferential attachment didn’t save Myspace). Treating dominance as permanent ignores the forces that occasionally reset the hierarchy.","related":["compounding","network-effects","lindy-effect"],"url":"https://readglobe.com/model/preferential-attachment/"},{"slug":"streetlight-effect","name":"Streetlight effect","discipline":"Reasoning & research","answer":"The streetlight effect is searching for answers where it’s easiest to look rather than where the answer actually is. It’s named for the drunk who hunts for his lost keys under the streetlight \"because that’s where the light is\" — not where he dropped them.","how":"When investigating anything, notice whether you’re studying what’s easy to measure or what actually matters. Convenient, available data lures attention away from harder-to-reach but more relevant evidence — so ask \"am I looking here because the answer is here, or because the looking is easy?\"","example":"A company wants to know why customers churn but only surveys customers it can still reach — those who stayed. The ones who left, who hold the real answer, are in the dark beyond the streetlight. The study illuminates the convenient data and misses the point.","pitfall":"Sometimes looking under the streetlight is rational — if the keys could be anywhere, you start where you can actually see. The bias isn’t looking where it’s easy; it’s forgetting that the answer may lie in the dark and never venturing there.","related":["signal-vs-noise","first-principles-thinking","map-is-not-the-territory"],"url":"https://readglobe.com/model/streetlight-effect/"},{"slug":"moores-law","name":"Moore's law","discipline":"Technology & forecasting","answer":"Moore's law is the observation that the number of transistors on a chip roughly doubles every two years, so computing power grows exponentially while cost falls. More broadly, it’s the model that some technologies improve at a steady exponential rate.","how":"Recognise that some technologies improve not linearly but exponentially — doubling at a regular cadence. Project forward by doubling, not adding, and expect that what’s impossible or expensive today can become trivial within a few doubling periods.","example":"A task needing a supercomputer in 2000 runs on a phone today, because compute power doubled roughly every two years for decades. Planning that assumed linear progress badly underestimated where computing — and everything built on it — would be.","pitfall":"Exponential trends don’t last forever — Moore’s law itself is slowing as physics hits atomic limits, and treating any exponential as permanent invites the same error as treating it as linear. Knowing when an exponential will bend is the hard part.","related":["compounding","creative-destruction","lindy-effect"],"url":"https://readglobe.com/model/moores-law/"},{"slug":"nash-equilibrium","name":"Nash equilibrium","discipline":"Game theory","answer":"A Nash equilibrium is a state in a game where no player can do better by changing their strategy alone, given what everyone else is doing. It’s a stable standoff — not necessarily the best outcome for anyone, just one no one can unilaterally improve on.","how":"To find the equilibrium, ask of each player: given everyone else’s choices, would they want to change theirs? When no one would, you’ve found a Nash equilibrium — the predictable resting point of strategic interaction, even when it’s collectively bad.","example":"In the prisoner’s dilemma, both confessing is the Nash equilibrium: given that the other confesses, each is better off confessing too, so neither will switch — even though both would be better off staying silent. The stable outcome is the bad one.","pitfall":"A Nash equilibrium says nothing about whether the outcome is good, fair, or efficient — only that it’s stable. Games can have multiple equilibria, and real people don’t always play to equilibrium, so it predicts resting points, not morality or guaranteed behaviour.","related":["game-theory","prisoners-dilemma","incentives"],"url":"https://readglobe.com/model/nash-equilibrium/"},{"slug":"schelling-point","name":"Schelling point","discipline":"Game theory","answer":"A Schelling point is the choice people converge on when they must coordinate without communicating — the option that feels natural, obvious, or salient to everyone. Absent a way to talk, we each pick what we expect the others to pick.","how":"When direct agreement is impossible, people reach for a shared landmark — a default that is psychologically prominent because of culture, precedent, or sheer roundness. It needn’t be optimal; it only needs to be the one everyone guesses everyone else will guess.","example":"Thomas Schelling asked people where they would meet a stranger in New York City with no time or place agreed. A striking share independently chose the information booth at Grand Central at noon — no option was “correct”, but it was the obvious focal point everyone expected everyone else to choose.","pitfall":"A focal point can be salient without being good — coordinating on a bad standard (a clumsy format, an unfair 50/50 split) just because it’s obvious. And focal points are culture-bound: what’s obvious to one group is invisible to another.","related":["nash-equilibrium","game-theory","prisoners-dilemma","incentives"],"url":"https://readglobe.com/model/schelling-point/"},{"slug":"galls-law","name":"Gall’s law","discipline":"Systems & design","answer":"Gall’s law holds that a complex system that works is invariably found to have evolved from a simple system that worked. A complex system designed from scratch rarely works and cannot just be patched into working.","how":"Working complexity is grown, not authored. You ship the smallest thing that genuinely works, let reality stress it, and add structure only where the working system demands it — so every added part is load-bearing rather than imagined.","example":"The web grew from a simple, working system — plain HTML over HTTP — and accreted complexity (CSS, JavaScript, APIs) on top. Grand “designed-from-scratch” rival systems that tried to specify the whole stack up front mostly failed to launch or never worked at scale.","pitfall":"It is not a licence to never plan or to ship sloppily — the starting system must actually WORK, not merely be small. And some domains (a bridge, a payment ledger) need heavy up-front design where “evolve it live” is reckless.","related":["systems-thinking","emergence","antifragility","first-principles-thinking"],"url":"https://readglobe.com/model/galls-law/"},{"slug":"conways-law","name":"Conway’s law","discipline":"Systems & organisation","answer":"Conway’s law states that any organisation that designs a system will produce a design whose structure mirrors the organisation’s own communication structure. The shape of what you build copies the shape of how your teams talk.","how":"Interfaces in a product form at the seams between teams, because the people who must negotiate a boundary are the people who don’t share a room or a manager. Change the communication structure and the system’s structure follows.","example":"If a company splits its app into separate “front-end” and “back-end” departments that rarely talk, the product tends to ossify into a rigid front-end/back-end split with a brittle API in between — the software’s seam sits exactly where the org chart’s seam sits.","pitfall":"It describes a tendency, not an iron law — disciplined design can resist it. Treated fatalistically, it becomes an excuse (“our architecture is bad because our org is bad”) instead of a lever to redesign teams.","related":["systems-thinking","bottleneck","incentives","emergence"],"url":"https://readglobe.com/model/conways-law/"},{"slug":"streisand-effect","name":"The Streisand effect","discipline":"Information & social dynamics","answer":"The Streisand effect is when trying to hide, remove, or censor information unintentionally draws far more attention to it. The act of suppression becomes the story, spreading what it meant to bury.","how":"Suppression signals that something is worth hiding, which is itself information; it also angers and motivates the people best placed to copy and re-share it. The takedown attempt converts an ignored detail into a cause.","example":"In 2003 Barbra Streisand sued to remove an aerial photo of her home from a public coastal-erosion archive. Before the suit the image had been downloaded a handful of times; the lawsuit drew hundreds of thousands of views — the attempt to hide it is what made it famous, and gave the effect its name.","pitfall":"It doesn’t mean you should never remove harmful content — genuine removals (of doxxing, abuse, leaks) are often right. The lesson is to anticipate amplification, not to give up on suppression entirely.","related":["second-order-thinking","incentives","inversion"],"url":"https://readglobe.com/model/streisand-effect/"},{"slug":"cobra-effect","name":"The cobra effect","discipline":"Economics & incentives","answer":"The cobra effect is when an attempted solution makes the problem worse, because the incentive it creates is gamed. People optimise the measure you reward rather than the outcome you wanted.","how":"Any reward attached to a proxy invites people to manufacture the proxy. If you pay for dead pests, severed feet, or closed tickets, you get more of those tokens — sometimes by creating the very problem you were paying to reduce.","example":"Colonial-era Delhi reportedly offered a bounty for dead cobras to cut the snake population. Enterprising residents began breeding cobras to collect the reward; when officials scrapped the scheme, the now-worthless snakes were released — leaving more cobras than before.","pitfall":"The famous cobra anecdote is illustrative and only loosely documented, so don’t treat it as proof. The robust point is the mechanism — incentives on a proxy get gamed — not the specific story.","related":["incentives","goodharts-law","second-order-thinking","tragedy-of-the-commons"],"url":"https://readglobe.com/model/cobra-effect/"},{"slug":"hyperbolic-discounting","name":"Hyperbolic discounting","discipline":"Behavioural economics","answer":"Hyperbolic discounting is our tendency to over-value rewards that arrive sooner and steeply discount ones that arrive later — and to do so inconsistently, caring far more about a delay that starts now than the same delay further out.","how":"Preferences reverse over time. From a distance we choose the larger-later reward; as the smaller-sooner one comes within reach its pull spikes, so we flip. The discount curve is steep near the present and flattens out — hence “hyperbolic”, not exponential.","example":"Offered $100 today or $110 in a week, many take the $100. Offered $100 in a year or $110 in a year-and-a-week, almost everyone waits the extra week — the SAME one-week delay, valued completely differently depending on how soon it starts.","pitfall":"Some discounting of the future is rational (uncertainty, inflation, real opportunity cost). The bias is the INCONSISTENCY, not discounting itself — and over-correcting into never enjoying the present is its own error.","related":["compounding","opportunity-cost","expected-value","skin-in-the-game"],"url":"https://readglobe.com/model/hyperbolic-discounting/"},{"slug":"reciprocity","name":"Reciprocity","discipline":"Psychology & influence","answer":"Reciprocity is the deep social rule that we feel obliged to return what others give us — a favour, a gift, a concession. Receiving something creates a sense of debt we’re uncomfortable leaving unpaid.","how":"The obligation triggers before we judge whether the gift was wanted or fair, which is what makes it powerful — and exploitable. A small unsolicited gift or a first concession shifts the other side toward giving something back.","example":"A waiter who leaves a mint with the bill measurably increases tips; a charity that encloses free address labels lifts donations. The trivial gift creates a felt debt that people discharge with a far larger return.","pitfall":"Used cynically it’s a manipulation tactic, and the felt obligation can push people into lopsided exchanges. Reciprocity also has a dark twin — retaliation — where harms, not favours, get returned and escalate.","related":["incentives","prisoners-dilemma","skin-in-the-game","game-theory"],"url":"https://readglobe.com/model/reciprocity/"},{"slug":"overton-window","name":"The Overton window","discipline":"Politics & social change","answer":"The Overton window is the range of ideas the public currently finds acceptable to discuss and enact. Policies inside it are politically viable; those outside seem radical or unthinkable — until the window shifts.","how":"Ideas migrate along a spectrum — unthinkable, radical, acceptable, sensible, popular, policy. The window moves not by winning the centre argument but by sustained advocacy at the edges, which drags the whole acceptable range toward it.","example":"Many policies that are now mainstream were, a generation earlier, considered fringe or unthinkable; persistent argument at the edge gradually moved them into the “acceptable” band and then into law — the window slid rather than the centre being persuaded outright.","pitfall":"It’s descriptive, not normative — the window moving tells you an idea became acceptable, not that it’s good or true. And the same mechanism can be used deliberately to normalise harmful ideas.","related":["critical-mass","preferential-attachment","path-dependence","second-order-thinking"],"url":"https://readglobe.com/model/overton-window/"},{"slug":"ooda-loop","name":"The OODA loop","discipline":"Strategy & decision-making","answer":"The OODA loop is a decision cycle — Observe, Orient, Decide, Act — repeated continuously. In a contest, whoever runs the loop faster and orients more accurately gets “inside” the rival’s cycle and disrupts their ability to respond.","how":"The decisive step is Orient — turning raw observation into meaning using mental models and experience. Speed matters, but speed with bad orientation just produces fast errors; the edge comes from re-orienting quickly as reality changes.","example":"Fighter pilot John Boyd, who devised it, argued a pilot who cycles Observe→Orient→Decide→Act faster forces the opponent to keep reacting to outdated information — “getting inside their OODA loop” — and wins despite a slower aircraft.","pitfall":"Worshipping speed while skipping Orient leads to confident, fast, wrong moves. And against a non-adversarial, slow-moving problem, frantic looping can be worse than patient analysis.","related":["second-order-thinking","signal-vs-noise","first-principles-thinking","expected-value"],"url":"https://readglobe.com/model/ooda-loop/"},{"slug":"jevons-paradox","name":"Jevons paradox","discipline":"Economics","answer":"Jevons paradox is the counter-intuitive finding that making the use of a resource more efficient often increases total consumption of it — because greater efficiency lowers the effective cost and unlocks many new uses.","how":"Efficiency is a price cut in disguise. When a resource gets cheaper to use, demand expands — more users, more applications — and the extra usage can outweigh the saving per unit, so the total goes up rather than down.","example":"Economist William Jevons noticed in 1865 that more efficient steam engines didn’t reduce Britain’s coal use — they made coal-power cheaper, so it spread to more industries and total coal consumption rose. The pattern recurs: efficient lighting, engines, and computing have each expanded total usage.","pitfall":"It’s a tendency, not an iron law — the rebound can be partial, and the paradox doesn’t mean efficiency is futile. The real lesson is to measure the net effect rather than assume the per-unit saving is the whole story.","related":["diminishing-returns","supply-and-demand","second-order-thinking","incentives"],"url":"https://readglobe.com/model/jevons-paradox/"},{"slug":"eisenhower-matrix","name":"The Eisenhower matrix","discipline":"Decision-making & productivity","answer":"The Eisenhower matrix sorts tasks on two axes — urgent vs important — into four boxes: do now (urgent + important), schedule (important, not urgent), delegate (urgent, not important), and delete (neither). It separates what matters from what merely shouts.","how":"Urgency hijacks attention, so important-but-not-urgent work (planning, prevention, relationships) gets crowded out by urgent trivia. The matrix forces you to name each task’s real category and protect the high-value, non-urgent quadrant.","example":"A manager’s day fills with urgent-but-trivial pings (delegate/delete) while the important-not-urgent strategy doc (schedule) slips for weeks. The matrix makes the trade-off visible: the strategy work is what actually moves the goal, yet nothing was ever “urgent” enough to force it.","pitfall":"Urgent and important are judgment calls and easy to mis-rate — almost everything can feel important. The matrix organises a decision; it doesn’t make it, and over-categorising can itself become busywork.","related":["opportunity-cost","pareto-principle","marginal-thinking","parkinsons-law"],"url":"https://readglobe.com/model/eisenhower-matrix/"},{"slug":"veil-of-ignorance","name":"The veil of ignorance","discipline":"Ethics & political philosophy","answer":"The veil of ignorance is a thought experiment for fairness: design the rules of a society — or any deal — as if you didn’t know which position in it you’d occupy. Not knowing your wealth, talents, or identity, you’d choose rules fair to every position.","how":"Stripping away knowledge of your own stake removes the self-interest that warps judgments of fairness. Behind the veil you must weigh the worst-off outcome as if it could be yours, so you tend to pick rules that protect everyone, not just the lucky.","example":"Asked to cut a cake fairly, the person who cuts takes the last slice — they’ll divide it evenly because they don’t know which piece they’ll get. The veil generalises this: choose the rule before you know your place, and self-interest produces fairness.","pitfall":"It’s an idealisation — real people can’t fully shed self-knowledge, and critics argue the “original position” quietly assumes particular attitudes to risk. It clarifies fairness; it doesn’t settle every disagreement about justice.","related":["inversion","second-order-thinking","expected-value","game-theory"],"url":"https://readglobe.com/model/veil-of-ignorance/"},{"slug":"sunk-cost-fallacy","name":"The sunk cost fallacy","discipline":"Behavioural economics","answer":"The sunk cost fallacy is the pull to keep investing in something — money, time, effort — because of what you’ve already put in, rather than what it will return from here. Past costs are gone whatever you do; only future costs and benefits should decide the next move.","how":"Rational choice compares the future value of continuing against the future value of stopping. Sunk costs belong to neither — they’re already spent. But loss aversion and the wish not to have “wasted” the investment make the past feel like a reason to continue, so we escalate commitment to failing projects.","example":"You’ve paid for a concert ticket, then feel ill on the night. The money is gone either way; the only real question is whether a miserable evening out beats resting at home. Going only “because you paid” is the fallacy — spending a good evening to honour a lost cost.","pitfall":"Not every persistence is the fallacy — sometimes continuing really is best, and “cut your losses” can rationalise quitting too soon. The test is strictly forward-looking: ignore what’s spent, and weigh only what each path gives you from now on.","related":["opportunity-cost","loss-aversion","marginal-thinking","inversion"],"url":"https://readglobe.com/model/sunk-cost-fallacy/"},{"slug":"dunning-kruger-effect","name":"The Dunning–Kruger effect","discipline":"Cognitive psychology","answer":"The Dunning–Kruger effect is the finding that people with the least skill in an area tend to overrate their ability most — because the knowledge needed to do a task well is the same knowledge needed to judge how well you’re doing it. Competence and the ability to see your own incompetence arrive together.","how":"Skill and self-assessment draw on the same understanding. A beginner lacks not only the skill but the yardstick to measure it, so errors go unseen and confidence stays high. As real competence grows, people begin to see the gaps — often becoming less sure — before confidence recovers with genuine expertise.","example":"In the original studies, people scoring in the bottom quarter on grammar and logic estimated themselves near the 60th percentile. They weren’t lying — they simply couldn’t recognise their own mistakes, because recognising them required the very skill they lacked.","pitfall":"It’s widely flattened into “dumb people think they’re smart.” The real effect is smaller and subtler — everyone mis-estimates, strong performers often underrate themselves, and part of the classic curve is a statistical artefact. Use it on yourself, not as an insult for others.","related":["circle-of-competence","confirmation-bias","map-is-not-the-territory","regression-to-the-mean"],"url":"https://readglobe.com/model/dunning-kruger-effect/"},{"slug":"survivorship-bias","name":"Survivorship bias","discipline":"Statistics & reasoning","answer":"Survivorship bias is the error of drawing lessons only from the things that made it through some filter — the survivors — while the failures, which are invisible, silently distort the picture. What’s missing from the data is often more instructive than what’s in it.","how":"Filters remove cases before you look — companies go bust, planes are shot down, funds close and vanish from the record. Study only what remains and you mistake a property of the filter for a property of success. The failures can’t report their reasons, so their evidence never reaches you.","example":"In WWII, engineers wanted to armour the parts of returning bombers most riddled with bullet holes. Abraham Wald saw the opposite: planes hit there came back, so armour belonged where survivors showed no holes — the engines — because planes hit in the engines never returned to be counted.","pitfall":"The correction can over-fire into “every winner was just lucky.” Skill and survivorship both operate; the fix isn’t cynicism but completeness — find the missing failures and let the full sample, not the survivors alone, tell you what actually mattered.","related":["regression-to-the-mean","signal-vs-noise","expected-value","streetlight-effect"],"url":"https://readglobe.com/model/survivorship-bias/"},{"slug":"confirmation-bias","name":"Confirmation bias","discipline":"Cognitive psychology","answer":"Confirmation bias is the tendency to seek, notice, and remember evidence that fits what we already believe, while overlooking or explaining away what doesn’t. We treat beliefs as things to defend rather than test, so gathering evidence quietly becomes reinforcing a belief.","how":"A held belief filters attention and memory. Supporting facts feel relevant and are recalled; contradicting facts feel like noise or exceptions. Because we rarely go looking for what would prove us wrong, even a fair world of evidence gets read as agreement.","example":"Once you decide a colleague is careless, their every slip confirms it while their careful work goes unnoticed. The belief doesn’t just survive the evidence — it curates the evidence, quietly building a case for itself.","pitfall":"You can’t will it away by “being objective” — it runs below awareness and catches experts too. The practical defence is structural: seek disconfirming evidence on purpose, invite dissent, and prize the fact that unsettles you over the ten that soothe you.","related":["inversion","second-order-thinking","dunning-kruger-effect","signal-vs-noise"],"url":"https://readglobe.com/model/confirmation-bias/"},{"slug":"loss-aversion","name":"Loss aversion","discipline":"Behavioural economics","answer":"Loss aversion is the finding that losing something hurts about twice as much as gaining the same thing feels good. Because the pain of a loss outweighs the pleasure of an equal gain, we take irrational risks to avoid losses and pass up fair bets that would pay off.","how":"We judge outcomes not in absolute terms but as gains and losses from a reference point, and the value curve is steeper on the loss side. So the same £100 registers as a bigger loss than a gain, and framing something as a potential loss reliably shifts choices — even when the odds are identical.","example":"Most people refuse a coin-flip that pays £150 on heads but costs £100 on tails, even though its expected value is clearly positive. The £100 potential loss simply looms larger than the £150 potential gain — so a good bet feels like a bad one.","pitfall":"It’s context-dependent, not a fixed constant — its size varies with stakes, framing, and person, and some studies find it weaker than the classic “2×.” Treat it as a strong, reliable tilt to watch for, not an exchange rate to plug into a formula.","related":["sunk-cost-fallacy","expected-value","margin-of-safety","inversion"],"url":"https://readglobe.com/model/loss-aversion/"},{"slug":"anchoring","name":"Anchoring","discipline":"Cognitive psychology","answer":"Anchoring is the way an initial number — even an arbitrary or irrelevant one — pulls our later estimates toward it. Once an anchor is in mind we adjust away from it, but rarely far enough, so the first figure we hear quietly shapes the final judgment.","how":"Faced with uncertainty, we grab a starting value and adjust — but adjustment is effortful and stops early, leaving the estimate biased toward the anchor. The anchor also primes anchor-consistent information, making it feel more plausible than it should. Even numbers we know are random still tug.","example":"People asked whether Gandhi died before or after age 144, then to estimate his actual age at death, guess higher than those first asked about age 35 — even though both anchors are obviously absurd. The number alone moved the answer.","pitfall":"Anchoring is hard to fully resist even when you know about it, so “just ignore the number” rarely works. The stronger defence is to generate your own estimate first, from your own reasoning, before any external figure can set the anchor.","related":["loss-aversion","confirmation-bias","first-principles-thinking","signal-vs-noise"],"url":"https://readglobe.com/model/anchoring/"},{"slug":"black-swan","name":"The black swan","discipline":"Risk & uncertainty","answer":"A black swan, in Nassim Taleb’s sense, is a rare event that is a huge surprise, carries enormous impact, and — only afterwards — gets explained as if it had been predictable. Because they sit outside past experience, black swans dominate history while staying invisible to models built on the ordinary.","how":"Most forecasting extrapolates from what has already happened, so it’s blind to the unprecedented. Yet in domains with fat tails, a single extreme event can outweigh all the normal ones combined. Add hindsight, which makes the shock look foreseeable after the fact, and we systematically underestimate how much the rare runs the show.","example":"The 2008 financial crisis was, for most, a black swan: risk models built on decades of “normal” data had no room for it, its impact was vast, and afterwards a tidy story made it seem obvious all along. The models weren’t merely wrong — they were blind to the events that mattered most.","pitfall":"The label is often misused for events that were merely ignored, not truly unforeseeable — and calling something a black swan can excuse a failure better thinking would have caught. It’s a reason to build robustness against the unknown, not an alibi for missing the knowable.","related":["antifragility","barbell-strategy","margin-of-safety","redundancy"],"url":"https://readglobe.com/model/black-swan/"},{"slug":"availability-heuristic","name":"The availability heuristic","discipline":"Cognitive psychology","answer":"The availability heuristic is our habit of judging how likely or common something is by how easily examples spring to mind. Vivid, recent, or heavily-reported events feel frequent; quiet or abstract ones feel rare — so memorability, not actual frequency, drives our sense of the odds.","how":"Estimating true frequencies is hard, so the mind substitutes an easier question: how readily can I recall an instance? Ease of recall usually tracks frequency — but it’s inflated by drama, recency, and media coverage, so the substitution misfires exactly when examples are memorable for reasons other than how often they happen.","example":"After a plane crash makes the news, people overestimate the danger of flying and some drive instead — even though driving is far more dangerous per mile. The crash is available and vivid; the millions of safe flights and the steady toll of car accidents are not.","pitfall":"You can’t switch it off, and often you must decide before real data is at hand. The workable habit is to treat ease-of-recall as a clue to be checked, not an answer — and to ask what’s memorable but rare, versus common but forgettable.","related":["signal-vs-noise","survivorship-bias","regression-to-the-mean","confirmation-bias"],"url":"https://readglobe.com/model/availability-heuristic/"},{"slug":"cognitive-dissonance","name":"Cognitive dissonance","discipline":"Social psychology","answer":"Cognitive dissonance is the mental discomfort of holding two beliefs — or a belief and an action — that clash. To ease it, we usually don’t change the behaviour; we change the belief, quietly rewriting what we think so it fits what we’ve already done.","how":"The mind seeks internal consistency, so a contradiction between what we believe and how we act creates tension. Since the action is often already taken and hard to undo, the cheaper repair is to adjust the belief — rationalising, discounting, or reinterpreting until the conflict dissolves.","example":"After choosing between two similar job offers, people rate the one they picked as much better and the one they rejected as worse than they did before deciding — resolving the “did I choose right?” tension by inflating the choice they made.","pitfall":"The discomfort is real and useful — it’s a signal that something doesn’t fit. The failure mode isn’t feeling it but resolving it dishonestly, bending beliefs to protect an action instead of letting the clash prompt a genuine rethink.","related":["confirmation-bias","sunk-cost-fallacy","second-order-thinking","inversion"],"url":"https://readglobe.com/model/cognitive-dissonance/"},{"slug":"framing-effect","name":"The framing effect","discipline":"Behavioural economics","answer":"The framing effect is the way the same facts, described differently, lead to different decisions. “90% survive” and “10% die” are identical — yet people choose differently depending on which frame they’re given, because the wording sets the reference point.","how":"We don’t evaluate outcomes in the abstract; we read them as gains or losses relative to how they’re framed. A gain frame invites caution, a loss frame invites risk. So the presentation — not just the content — steers the choice, which is why the same option can feel attractive or alarming.","example":"Told a treatment has a “90% survival rate,” patients and doctors accept it more readily than the identical “10% mortality rate.” Nothing about the treatment changed — only the sentence.","pitfall":"Framing is unavoidable — every statement has some frame, so there’s no neutral wording to retreat to. The defence isn’t a “frame-free” view but seeing multiple frames of the same fact and checking that your decision holds across them.","related":["loss-aversion","anchoring","confirmation-bias","map-is-not-the-territory"],"url":"https://readglobe.com/model/framing-effect/"},{"slug":"social-proof","name":"Social proof","discipline":"Social psychology","answer":"Social proof is our tendency to decide what’s correct by watching what others do — especially under uncertainty. When we’re unsure, the behaviour of the crowd becomes evidence, so “everyone’s doing it” quietly turns into “it must be right.”","how":"Copying others is usually a cheap, effective shortcut: they may know something we don’t, and matching the group is socially safe. But it misfires when the crowd is itself just copying, when it’s manipulated, or when the situation is genuinely novel — then everyone follows everyone, and no one is checking.","example":"A tip jar seeded with a few coins collects far more than an empty one, and a club with a queue draws more people than the empty one next door. The visible behaviour of others becomes the reason to join in.","pitfall":"Social proof is only as good as the crowd behind it — and crowds can be wrong, herded, or faked. Bubbles are social proof running unchecked, where each person rationally follows the last and the whole group walks off a cliff together.","related":["reciprocity","network-effects","incentives","preferential-attachment"],"url":"https://readglobe.com/model/social-proof/"},{"slug":"endowment-effect","name":"The endowment effect","discipline":"Behavioural economics","answer":"The endowment effect is our tendency to value something more simply because we own it. The price at which people will sell a thing they hold is reliably higher than the price they’d pay to buy the same thing — ownership itself adds value that isn’t really there.","how":"Giving something up registers as a loss, and losses loom larger than gains, so parting with what we own feels more costly than acquiring it felt valuable. Ownership also shifts the reference point and attaches familiarity and identity, all of which inflate the price we demand to let go.","example":"In a classic study, students given a mug demanded about twice as much to sell it as other students were willing to pay to buy the identical mug. The only difference was who happened to be holding it.","pitfall":"It blurs with rational reasons to keep things — switching costs, sentiment, real information the owner has. The effect is the extra, unjustified premium on top of those; separating the two is the point, not treating all attachment as bias.","related":["loss-aversion","sunk-cost-fallacy","opportunity-cost","anchoring"],"url":"https://readglobe.com/model/endowment-effect/"},{"slug":"halo-effect","name":"The halo effect","discipline":"Social psychology","answer":"The halo effect is the way one strong impression — attractiveness, confidence, a single success — spills over and colours our judgment of unrelated qualities. If someone or something is good in one visible way, we assume it’s good in others, without checking.","how":"Forming a separate judgment for every trait is effortful, so we let one salient impression stand in for the whole. A first strong signal sets an expectation, and later observations get bent to fit it — the halo (or its opposite, the “horn”) does the work that careful, trait-by-trait assessment should.","example":"Attractive people are routinely rated as kinder, smarter, and more trustworthy, and a firm with one hit product is assumed to have great management, culture, and strategy — until a stumble reveals the halo was carrying the judgment.","pitfall":"The traits sometimes really do correlate, so the halo isn’t always wrong — which is what makes it sticky. The error is treating a plausible one-trait inference as confirmed knowledge about the rest, especially when the halo is exactly what someone wants you to see.","related":["confirmation-bias","anchoring","signal-vs-noise","dunning-kruger-effect"],"url":"https://readglobe.com/model/halo-effect/"},{"slug":"gamblers-fallacy","name":"The gambler’s fallacy","discipline":"Probability & reasoning","answer":"The gambler’s fallacy is the mistaken belief that a run of one outcome makes the opposite “due.” After five reds on the roulette wheel, black feels overdue — but the wheel has no memory, and each spin’s odds are exactly what they always were.","how":"We expect small samples to mirror the overall average, so a streak looks like an imbalance that must correct. It won’t: for independent events, the past can’t touch the next outcome. The pattern we sense is real; the causal pull we infer from it is imaginary.","example":"At Monte Carlo in 1913, black came up 26 times in a row on a roulette wheel. Gamblers lost fortunes betting ever more heavily on red, certain it was overdue — yet each spin was still an even chance, indifferent to the streak.","pitfall":"Its mirror image is just as wrong: treating a streak as a “hot hand” that must continue. And many real streaks aren’t independent at all, so the instinct can accidentally be right — which muddies the lesson. First establish whether the events are truly independent.","related":["regression-to-the-mean","bayesian-thinking","base-rate-neglect","expected-value"],"url":"https://readglobe.com/model/gamblers-fallacy/"},{"slug":"base-rate-neglect","name":"Base-rate neglect","discipline":"Probability & reasoning","answer":"Base-rate neglect is the habit of judging a specific case on its vivid details while ignoring how common the category is to begin with. A test result, a stereotype, a striking match — all mislead when we forget the background rate they sit against.","how":"Specific, story-like evidence feels diagnostic, so it crowds out the abstract base rate. But the prior probability sets the stage: when a condition is rare, even a fairly accurate signal produces mostly false alarms. Skipping the base rate is skipping the denominator, and the denominator is often decisive.","example":"A disease affects 1 in 1,000 people and a test is 99% accurate. A positive result feels alarming — yet because the disease is so rare, most positives are false, and the true chance of illness is under 10%. The base rate, not the test, does the heavy lifting.","pitfall":"The fix isn’t to worship base rates and ignore specifics — good judgment updates the base rate with the new evidence (that’s Bayesian thinking). The error is dropping the base rate entirely, not weighing it against the case in front of you.","related":["bayesian-thinking","availability-heuristic","regression-to-the-mean","signal-vs-noise"],"url":"https://readglobe.com/model/base-rate-neglect/"},{"slug":"planning-fallacy","name":"The planning fallacy","discipline":"Cognitive psychology","answer":"The planning fallacy is our persistent tendency to underestimate how long a task will take, how much it will cost, and how likely it is to go wrong — even when we’ve been burned by identical tasks before. We plan for the best case and are surprised by the ordinary one.","how":"We build estimates from the inside: imagining the specific steps of this project going smoothly, while ignoring the outside view of how similar projects actually turned out. Optimism, the wish to commit, and the invisibility of unknown obstacles all pull the estimate toward a best case that rarely arrives.","example":"Students asked when they’d finish a thesis were beaten by reality even in their pessimistic “if everything went wrong” estimates. The classic remedy — asking how long past similar projects took — produces far better forecasts than imagining this one.","pitfall":"Padding every estimate blindly just moves the bias, and some deadlines really are met. The reliable correction isn’t generic pessimism but the outside view: anchoring on the track record of a reference class rather than the story of this particular plan.","related":["parkinsons-law","base-rate-neglect","margin-of-safety","second-order-thinking"],"url":"https://readglobe.com/model/planning-fallacy/"}]}