The Best Books on Decisions Under Uncertainty
Most decision books teach you to be confident. These teach you to be calibrated - what you can forecast, what you cannot, and how to bet when the future refuses to cooperate. The Taleb trio argues with everyone, including each other; that is part of the training.
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Superforecasting
The evidence that forecasting is a trainable skill - and the habits of the people who beat the experts.
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Thinking in Bets
A poker champion on separating decision quality from outcome luck - the fastest usable reframe here.
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Fooled by Randomness
The original warning: most success stories are luck wearing a suit.
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The Black Swan
The big one: the most consequential events are the ones your models exclude.
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Antifragile
The constructive answer - build things that gain from disorder instead of predicting it.
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Algorithms to Live By
Computer science as decision hygiene: optimal stopping and explore-exploit, minus the math anxiety.
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