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DECISION-MAKING UNDER RADICAL UNCERTAINTY
In boardrooms and business schools alike, decision-makers cling to tools designed for a world that no longer exists. Discounted cash flows, probability distributions, and Monte Carlo simulations all assume that uncertainty can be tamed with better data and sharper models. This book argues that such assumptions are not merely optimistic but dangerous. Drawing on insights from complexity science, evolutionary biology, and behavioral...
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