The Base-Rate Fallacy in Probability Judgments

Abstract

The base-rate fallacy is people's tendency to ignore base rates in favor of case-specific information (when such is available), rather than integrate the two. This tendency has important implications for understanding judgment phenomena in many clinical, legal, and social-psychological settings. According to the account suggested in this paper, people order information by its perceived degree of relevance, and let high-relevance items dominate low- relevance items. Information that relates more specifically to the judged target case or is causally linked to it is deemed more relevant than general background data, thus yielding the base--rate fallacy in typical Bayesian inference problems. A large series of probabilistic inference problems was presented to subjects, in which relevance was manipulated in various ways, and the empirical results confirm the above account. In particular, base rates will be combined with other information when the two kinds of information are made to appear equally relevant.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1977
Accession Number
ADA045772

Entities

People

  • Maya Bar-hillel

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Army
  • Bayesian Inference
  • Bayesian Networks
  • Human Behavior
  • Human Factors Engineering
  • Information Processing
  • Military Research
  • Operations Research
  • Probability
  • Psychology
  • Social Psychology
  • Social Sciences
  • Statistics
  • Students
  • Systems Engineering
  • United States Military Academy
  • War Colleges

Fields of Study

  • Psychology

Readers

  • Artificial Intelligence
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval