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Thinking and Deciding

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138 DESCRIPTIVE THEORY OF PROBABILITY JUDGMENT<br />

Figure 6.1: Subjects’ estimates of the frequency of various causes of death as a function<br />

of actual frequency. From S. Lichtenstein, P. Slovic, B. Fischhoff, M. Layman,<br />

<strong>and</strong> B. Combs, “Judged frequency of lethal events,” Journal of Experimental Psychology:<br />

Human Learning <strong>and</strong> Memory, (1978): 4, 565. Reprinted by permission of<br />

the first author, <strong>and</strong> of M. G. Morgan <strong>and</strong> M. Henrion, who redrew the figure.<br />

perience with, they underestimate very high frequencies <strong>and</strong> overestimate very low<br />

ones. For example, Attneave (1953) asked subjects to estimate the relative frequency<br />

with which various letters of the alphabet occur in ordinary written English. What<br />

percentage of all of the letters in a newspaper, for example, are as, es, <strong>and</strong> so forth?<br />

Subjects tended to overestimate low probabilities (zs) <strong>and</strong> underestimate relatively<br />

high ones (es). A similar effect was observed by Lichtenstein, Slovic, Fischhoff,<br />

Layman, <strong>and</strong> Combs (1978) when subjects were asked to judge the frequency with<br />

which various dangers caused deaths in the U.S. population today. The actual frequencies<br />

range from a death rate of 0 for smallpox, to heart disease, which has a rate<br />

of 360,000 per 100,000,000 people per year. A plot of the data from this study is<br />

showninFigure6.1. 2<br />

2 Geometric means of subjects’ responses are used in this graph in order to avoid undue influence<br />

by subjects who gave very high numbers. Subjects were given the correct answer for “motor vehicle<br />

accidents” as a st<strong>and</strong>ard.

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