The Black Swan: The Impact of the Highly Improbable · chapter 5 · id the-black-swan-c5-01-the-ludic-fallacy-the-belief-t
“The ludic fallacy: the belief that the structured randomness found in games (casinos, dice, coin flips) resembles the unstructured randomness of real life. Casino risk is Gaussian; real-world risk is not. Applying game-theory probability to real-world decisions is a fundamental error.”
TRUE, BUTconfidence: high⚠ extracted by pipeline, re-audit pending
Receipts
Cont (2001), 'Empirical Properties of Asset Returns: Stylized Facts and Statistical Issues', Quantitative FinanceFLAGGED: DOI not in registry
Financial returns exhibit: heavy tails (excess kurtosis of 3-50x Gaussian), volatility clustering, and asymmetric dependence. These 'stylized facts' are inconsistent with Gaussian models.
Taleb & Goldstein (2007), 'The Problem of Induction is Not a Problem of Induction'FLAGGED: DOI not in registry
Known probability distributions (casino games) are fundamentally different from estimated probability distributions (finance, economics) because model uncertainty adds a layer of risk invisible to the model itself.
Stanford Encyclopedia of Philosophy: Game Theorysource alive
Game theory models assume well-defined strategy spaces and known payoff structures. When these assumptions hold, game-theoretic predictions are highly reliable -- Taleb's critique applies to misapplication, not to the theory itself.
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