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Radical Uncertainty: Decision-Making Beyond the Numbers, by John Kay and Mervyn King

The authors of this book belong to the elite of British economic policymaking. John Kay has held some of the UK’s leading academic, think-tank and advisory positions. Mervyn King completed a long career at the Bank of England by serving as its governor for 10 years, spanning the global financial crisis.

Forty years after they first wrote a book together, they have joined forces again to produce a rant. An eloquent, highbrow, entertaining and enlightening rant, but a rant all the same. The authors’ bugbear is the standard approach to uncertainty in economics and related disciplines, which requires a comprehensive list of possible outcomes with well-defined numerical probabilities attached.

This is an impoverished and, at times even fraudulent, approach to decision-making, they argue. Apart from stable and repeated situations, they explain, probabilities do not exist; or they and their possible outcomes are unknowable; or all the above at once. All that probabilistic analysis does in other cases — usually where good decision-making matters most — is, at best, give a false sense of precision. By an arrogation of impossible scientific respectability, probability analysis can turn evidence-based policy into policy-based evidence.

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