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32 - Improving inductive inference

Published online by Cambridge University Press:  05 May 2013

Richard E. Nisbett
Affiliation:
University of Michigan
David H. Krantz
Affiliation:
Bell Laboratories, Murray Hill, New Jersey
Christopher Jepson
Affiliation:
University of Michigan
Geoffrey T. Fong
Affiliation:
University of Michigan
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Summary

In this chapter, we discuss the possibility of improving people's inferences in everyday life. Nisbett and Ross (1980) proposed that improvements could result from making the inferential tools of the scientist available to the layperson in the form of inferential maxims, such as “It's an empirical question,” or “You can always explain away the exceptions.” We shall refer to “statistical heuristics” for some of the most important of these informal guides to reasoning, such as “Think about evidence as if it were a sample, and reflect about sample size.” We believe that such rough inferential guides, when embedded in a matrix of understanding of statistics and probability theory and when buttressed by experience in applying the heuristic to concrete problems, may prove to be of great value in reducing inferential error in daily life.

It is possible to be systematic in an examination of what could be accomplished by such a program and where difficulties are likely to be encountered. We believe that three such difficulties are clearly visible now, and we believe that attempts to solve each of the problems will pay dividends in terms of extending our understanding both of how people infer and of how they ought to infer.

Type
Chapter
Information
Judgment under Uncertainty
Heuristics and Biases
, pp. 445 - 460
Publisher: Cambridge University Press
Print publication year: 1982

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