Future Babble
How to Stop Worrying and Love the Unpredictable
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4.0 • 1 Rating
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- €6.99
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- €6.99
Publisher Description
In 2008, as the price of oil surged above $140 a barrel, experts said it would soon hit $200; a few months later it plunged to $30. In 1908, it was pronounced that there would be no more wars in Europe; we all know how that turned out. Face it, experts are about as accurate as dart-throwing monkeys. And yet every day we ask them to predict the future – everythng from the weather to the likelihood of a terrorist attack. Future Babble is the first book to examine this phenomenon, showing why our brains yearn for certainty about the future, why we are attracted to those who predict it confidently, and why it's so easy for us to ignore the trail of outrageously wrong forecasts.
In this fast-paced, example-packed, sometimes darkly hilarious book, Dan Gardner shows how seminal research by professor Philip Tetlock proved that the more famous a pundit is, the more likely they are to be right about as often as a stopped watch. Gardner also draws on current research in cognitive psychology, political science, and behavioral economics to discover something quite reassuring: The future is always uncertain, but the end is not always near.
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Gardner, a columnist and senior writer for the Ottawa Citizen (The Science of Fear), examines the misguided trust people place in media forecasters and "legions of experts" who make meaningless predictions about the future. He reviews the findings of psychologist Philip Tetlock, who had 284 experts from a range of disciplines make 27,450 predictions on political and economic trends, concluding they produced about the same results as random guesses. Biologist Paul Erhlich is one of his main targets. In 1968's The Population Bomb, Ehrlich predicted mass famines. In fact, Gardner points to America's "epidemic of obesity" and growing calorie intake worldwide. Gardner also probes economic and environmental worries, and warnings of wars, climate change, the Y2K hysteria, and the weather, which he says can be forecast with accuracy only at most two days out. Successful predictions are celebrated, Gardner says, while the wrong ones are forgotten. Yet he might have done well to remember more of those accurate predictions, and to focus more on Tetlock's conclusions about those experts who show greater accuracy and on how the public might recognize them. Instead, he writes off accurate predictions as "likely... a coincidence."
