
New research confirms that overprecision is a common and robust form of overconfidence driven, at least in part, by excessive certainty in the accuracy of our judgments.
"The findings suggest that people are too confident in what they know and underestimate what they don't know," says Mannes.
The new findings are published in Psychological Science, a journal of the Association for Psychological Science.
Research investigating overprecision typically involves asking people to come up with a 90% confidence interval around a numerical estimate -- such as the length of the Nile River -- but this doesn't always faithfully reflect the judgments we have to make in everyday life. We know, for example, that arriving 15 minutes late for a business meeting is not the same as arriving 15 minutes early, and that we ought to err on the side of arriving early.
Mannes and Moore designed three studies to account for the asymmetric nature of many everyday judgments. Participants estimated the local high temperature on randomly selected days and their accuracy was rewarded in the form of lottery tickets toward a prize. For some trials, they earned tickets if their estimates were correct or close to the actual temperature (above or below); in other trials, they earned tickets for correct guesses or overestimates; and in some trials they earned tickets for correct guesses or underestimates.
The results showed that participants adjusted their estimates in the direction of the anticipated payoff after receiving feedback about their accuracy, just as Mannes and Moore expected.





















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