- Information zum Autor
BUSINESS & ECONOMICS
Decision-Making & Problem Solving
Financial Risk Management
History & Philosophy
Schule und Lernen: Psychologie
Philosophie der Mathematik
Geschichte der Mathematik
New York Times Book Review
This major, timely and critically acclaimed work asks a vitally important question: when uncertainty is all around us, and the facts are not clear, how can we make good decisions?
In the wake of a global pandemic and a financial crisis before that, is it clearer than ever that we don't know what the future will hold. But because we must make decisions anyway our response is to regularly crave certainties which cannot exist and invent knowledge we cannot have, forgetting that humans are successful because we have adapted to an environment that we understand only imperfectly. This remarkable book draws on history, mathematics, economics and philosophy to highlight the most successful - and most short-sighted - methods of dealing with an unknowable future. Ultimately, as we have seen to our cost, the prevalent method of our age falls short, giving us a false understanding of our power to make predictions, leading to many of the problems we experience today. Radical Uncertainty shows how we can change that for the better.
'Rarely is a book's publication as well-timed as John Kay and Mervyn King's Radical Uncertainty '
Wall Street Journal
'Entertaining and enlightening . . . This is a necessary critique and they make it with verve, knowledge and a wealth of stories'
'An elegant, wise and timely book' Irish Times
'Jam-packed with erudition' New Statesman
John Kay is a visiting professor at the London School of Economics and a Fellow of St John's College, Oxford. He is a director of several public companies and contributes a weekly column to the Financial Times . He chaired the UK government review of equity markets which reported in 2012 recommending substantial reforms. He is the author of many books including Other People's Money , The Truth about Markets , The Long and the Short of It and Obliquity .