Philip tatlock has argued that if we set up long run tournaments with forecasting, and we measure results, it can reduce bias. But is there abaus left? And how tatlocians pick their teams? He picks the teams by results. So with whit he has, he has people competing in making probablistic forecasts. Of strategic or economic events of medium and short term. Some people are more accurate than others. After a year of that, you select the top two %, and you call them super forecasters. That gives them a very good feeling, to be labelled super forecasters - they do not regress to the means.
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You might be surprised by what occupies Daniel Kahneman’s thoughts. “You seem to think that I think of bias all the time,” he tells Tyler. “I really don’t think of bias that much.” These days, noise might be the concept most on Kahneman’s mind. A forthcoming book, coauthored with Cass Sunstein and “a brilliant Frenchman you haven’t heard of” is about how random variability affects our decision-making. And while we’ve spent a lot of time studying how bias causes error in judgment, Kahneman says, we aren’t thinking nearly enough about the problem of noise.
In November, Kahneman joined Tyler for a live conversation about bias, noise and more, including happiness, memory, the replication crisis in psychology, advice to CEOs about improving decision-making, superforecasters, the influence of Freud, working in a second language, the value of intuition, and why he can’t help you win arguments with a spouse.
Read a full transcript enhanced with helpful links.
Recorded November 12th, 2018 Other ways to connect