Thinking, Fast and Slow

According to Meehl, why were the predictions of experts inferior to algorithms as noted in the nonfiction book, Thinking, Fast and Slow?

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Last updated by Jill W
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Meehl found that the predictions of experts were inferior to algorithms because experts are inconsistent and often try to be “too” clever. They think outside the box and combine complex features in making their assessments. Complexity generally skews results.

Source(s)

Thinking, Fast and Slow