2013
DOI: 10.1177/0956797612470700
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A Behavioral Demonstration of Overconfidence in Judgment

Abstract: Overprecision-an excessive confidence that one knows the truth-is both the most durable and the least understood form of overconfidence. This article outlines an approach to the study of overprecision that avoids some of the methodological problems of other approaches and better reflects the way uncertainty affects choices in everyday life. We measured the precision in judgment implied by people's tendency to adjust their point estimates of an uncertain quantity in response to the costs of overestimating or un… Show more

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Cited by 49 publications
(32 citation statements)
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“…In the context of learning, overprecision bias occurs when σfalse¯c<σc. This leads the firm to insufficiently adjust its beliefs in response to new information (Mannes & Moore, ). The association between precision bias and the rate of belief updating may be defined as α = α*(1 − ζ), where α is the rate of belief updating used in Equation , α* is the Bayesian (optimal) rate of belief updating, and ζ is a precision parameter.…”
Section: Toward a Behavioral Theory Of Real Optionsmentioning
confidence: 99%
“…In the context of learning, overprecision bias occurs when σfalse¯c<σc. This leads the firm to insufficiently adjust its beliefs in response to new information (Mannes & Moore, ). The association between precision bias and the rate of belief updating may be defined as α = α*(1 − ζ), where α is the rate of belief updating used in Equation , α* is the Bayesian (optimal) rate of belief updating, and ζ is a precision parameter.…”
Section: Toward a Behavioral Theory Of Real Optionsmentioning
confidence: 99%
“…Arguably, however, this procedure is unnatural for most people, and it does require an understanding of probability. We sought to address these criticisms in our recent research with a judgement task that represents more faithfully how overprecision affects people in their daily lives 7 .…”
Section: The Faces Of Overconfidencementioning
confidence: 99%
“…Predicting the "typical" path (e.g., the most likely point of landfall in a hurricane), and predicting the uncertainty itself (e.g., the growth of the "cone of uncertainty"). This distinction between the two elements of prediction is quite analogous to the distinction or understanding of the mean, based on several samples, a task at which people are quite good (Peterson & Beach, 1967) versus assessing the variance of those samples, a task at which people are not so proficient, and at which we exhibit systematic biases (Mannes & Moore, 2013). In particular, in other contexts it has been observed that people tend to underestimate the variance of multiple samples, as if consistently underestimating the contribution of random factors to variables in the world (Kahneman, 2011;Henrion & Fischhoff, 2003;Tversky & Kahneman, 1971).…”
Section: Introductionmentioning
confidence: 96%