Hundreds of studies have shown that predictions based on an expert’s “personal experience” or “years of training” are rarely better than chance, in contrast to predictions based on actuarial data. But when experts are wrong, the centerpiece of their professional identity is threatened. Therefore, as dissonance theory would predict, the more self-confident and famous they are, the less likely they will be to admit mistakes.
