June 2026
March 2026
- Mar 5, 2026ConceptsWhat Is Decision Making Under Uncertainty?Frank Knight separated risk, where probabilities are known, from uncertainty, where they cannot be meaningfully assigned, and most big decisions sit on the second side. This guide maps four levels of knowability, then covers satisficing, reversible bets, scenario planning and Bayesian updating. Tetlock's Expert Political Judgment study, spanning about 20 years and more than 28,000 forecasts from 284 experts, found most specialists predicted little better than chance.
- Mar 4, 2026ConceptsProbabilistic Thinking for Enhanced Decision-MakingProbabilistic thinking reasons in likelihoods and distributions rather than certainties, and binary thinking destroys your ability to learn: a good 70% bet that loses gets labeled a bad decision. Annie Duke calls that resulting, judging decision quality by outcome instead of process. Why probably means anywhere from 50% to 90% to different people, how P10, P50 and P90 ranges beat point estimates, and how Bayesian updating works in practice.
- Mar 3, 2026ConceptsRisk vs Uncertainty: What People ConfuseFrank Knight's 1921 line between known probabilities and genuine uncertainty, mapped across a five-step spectrum from casino games to questions no distribution covers. The page explains why optimization gives way to robustness, optionality and heuristics once probabilities stop being meaningful, and uses LTCM's roughly $4.6 billion loss in 1998, the Challenger launch decision and COVID-19 preparedness to show what happens when uncertainty gets dressed up as calculable risk.
November 2025
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September 2021
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