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“Expected Value” books center on making smarter choices under uncertainty by weighing potential outcomes by both their likelihood and impact. This category blends clear, accessible explanations of probability, statistics, and decision theory with practical tools like decision trees, Bayesian updating, forecasting, risk assessment, and cost–benefit analysis. Titles range from hands-on guides to narrative case studies in fields such as investing, poker, medicine, product strategy, public policy, and philanthropy, showing how small probabilities and large consequences can dominate results. These books also tackle cognitive biases and calibration, helping readers replace intuition with disciplined, data-informed judgment. The unifying aim is to maximize long‑run value: thinking in bets, quantifying tradeoffs, and choosing actions that produce the best expected outcomes over time.

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