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In a 2018 study, for example, one of us (Professor Dunning) and the psychologist Carmen Sanchez asked people to try their hand at diagnosing certain diseases. (All the diseases in question were fictitious, so no one had any experience diagnosing them.) The participants attempted to determine whether hypothetical patients were healthy or sick, using symptom information that was helpful but imperfect, and they got feedback after every case about whether they were right or wrong. Given the limited nature of the symptom information that was provided, the participants’ judgments ought to have been made with some uncertainty.
How did these would-be doctors fare? At the start, they were appropriately cautious, offering diagnoses without much confidence in their judgments. But after only a handful of correct diagnoses, their confidence shot up drastically — far beyond what their actual rates of accuracy justified. Only later, as they proceeded to make more mistakes, did their confidence level off to a degree more in line with their proficiency.”