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While statistical models and probability scores can be useful for helping diagnose problems, they are not reliable information for predicting the future.
Brent is joined in this episode by two eminent economists, John Kay, a fellow at St. Johns College, Oxford and the first dean of Oxford’s Said Business School, and Mervyn King, former Governor of the Bank of England, for a conversation about their new book, Radical Uncertainty: Decision-Making Beyond the Numbers.
The post How statistical modeling can make it harder to understand the world appeared first on American Enterprise Institute – AEI.
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