Risk & Asymmetric Bets
Every idea in Doomscholar on risk & asymmetric bets. Open any one to read it in layers, with its sources.
- 1177 B.C.: The Year Civilization CollapsedEric H. ClineThe Late Bronze Age's interconnected civilizations — Egypt, the Hittites, Mycenaean Greece, and others — collapsed within a few decades not from any single cause but from a cluster of simultaneous shocks (drought, earthquakes, invasion, trade collapse) hitting a system too interdependent to absorb them all at once.
- Asymmetric PayoffsNassim TalebSeek bets where the downside is capped but the upside is functionally unlimited.
- Expected ValueBlaise PascalChoose the option whose average outcome, weighted by probability, is highest.
- Mr. MarketWarren BuffettThe stock market should be viewed as a manic-depressive business partner whose daily price quotes exist entirely to serve you, not to inform or guide your estimate of a business's intrinsic value.
- OptionalityNassim TalebThe right, but not obligation, to act is worth paying for.
- Prospect Theory: An Analysis of Decision under RiskDaniel Kahneman & Amos TverskyLosses and gains of the same objective size are not felt equally — losing a given amount hurts roughly twice as much as gaining the same amount feels good — which systematically distorts decisions under risk away from what a purely rational, outcome-maximizing calculation would recommend.
- Regret MinimizationJeff BezosProject yourself to 80 and choose the option you'll regret least.
- The 4 Types of LuckSahil BloomLuck isn't a single, uncontrollable force — it breaks into four distinct types, from pure chance to the luck you can systematically manufacture through motion, expertise, and a distinctive personal identity, meaning most of what determines your long-run 'luck' is actually a function of design choices, not chance.
- The Asymmetry of Cosmic JusticeSleepWiseThe human mind inherently craves narrative balance and karmic fairness, but reality operates on an asymmetric distribution of effort, leverage, and luck, brutally nullifying the illusion of meritocracy.
- The Capital Asset Pricing Model (CAPM)William SharpeCAPM isolates the price of systematic risk — expected return rises linearly with beta to the market, so only non-diversifiable risk earns a premium and alpha is excess over that line.
- The Casino's Four Gears: Edge, Volume, Sizing, and BankrollJohn Kelly Jr.; Edward ThorpA tiny, repeatable statistical edge becomes a near-certain profit only when combined with three other things — enormous volume, bets sized to the edge rather than to conviction, and a bankroll large enough to survive a bad stretch. Miss any one of the four and having an edge stops mattering.
- The Efficient Market HypothesisEugene FamaFama formalized that in an efficient market, prices already reflect all available information of that form — weak, semi-strong, or strong — so consistently beating the market requires either private information or a risk premium, not just public analysis.
- The Ergodicity ProblemOle PetersThe average outcome across many people is not the outcome any one person gets over time. When gains and losses compound, a bet can have positive expected value while nearly everyone who keeps playing goes broke — and most of economics quietly assumes the two averages are the same.
- The Great Filter — Are We Almost Past It?Robin HansonGiven that we see no evidence of any other intelligent civilization in a universe old and vast enough to have produced many, some 'Great Filter' — an improbability barrier somewhere between lifeless matter and galaxy-colonizing civilization — must exist, and the crucial open question is whether humanity has already passed it or still has it ahead.
- The Kelly Criterion & Position SizingJohn L. Kelly / Edward ThorpKelly derived the fraction of bankroll to bet to maximize long-run logarithmic growth — bet too little and you compound slowly, bet too much and a single bad run wipes out the geometric advantage even with a positive edge.
- The Value of Probabilistic Thinking: Spies, Crime, and Lightning StrikesFarnam Street (Shane Parrish)Good decisions under uncertainty require three specific probabilistic skills: Bayesian updating (weighing new evidence against prior knowledge), recognizing fat-tailed distributions (where extreme outliers are far more common than a normal bell curve implies), and correcting for asymmetric estimation errors (like investors who systematically overestimate their own returns).
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