Affect, generalization, and the perception of risk.

Eric J. Johnson, Amos Tversky·1983·Journal of Personality and Social Psychology

Abstract

Experimental manipulations of affect induced by a brief newspaper report of a tragic event produced a pervasive increase in subjects' estimates of the frequency of many risks and other undesirable events. Contrary to expectation, the effect was independent of the similarity between the report arid the estimated risk. An account of a fatal stabbing did not increase the frequency estimate of a closely related risk, homicide, more than the estimates of unrelated risks such as natural hazards. An account of a happy event that created positive affect produced a comparable global decrease in judged frequency of risks. As a society, we have never been more concerned with the assessment, the management, and the regulation of risk. Because public reaction to hazards from pesticides, nuclear power, or food additives appears to influence the regulation and management of these technologies, it is important to understand how the lay person perceives and evaluates risks. This is particularly true for hazards such as terrorism, nuclear power, or genetic engineering for which the available statistical data are very limited and where the assessments of the risks are based on subjective and intuitive judgments. Indeed, psychologists and other researchers have shown increasing interest in the manner in which people perceive and estimate the severity of various risks. Lichtenstein, Slovic, Fischhoff, Layman, and Combs (1978) asked lay people to estimate the number of deaths per year that are due to various hazards. These investigators found that the subjective estimates were consistent across several methods of elicitation and correlated reasonably well (median r = .7) with actuarial estimates of frequency. A comparison of objective and subjective estimates revealed two

Cites (4)

  1. Judgment under Uncertainty: Heuristics and Biases
    Tversky, Amos, Kahneman, Daniel · 1975 · Utility, Probability, and Human Decision Making
  2. Availability: A heuristic for judging frequency and probability
    Tversky, Amos, Kahneman, Daniel · 1973 · Cognitive Psychology
  3. Feeling and thinking: Preferences need no inferences.
    Zajonc, R. B. · 1980 · American Psychologist
  4. Mood and memory
    Bower, Gordon H. · 1981 · American Psychologist

Show all 4 references

Cited by (67)

  1. Risk as feelings.
    Loewenstein, George F., Weber, Elke U., Hsee, Christopher K., Welch, Ned · 2001 · Psychological Bulletin
  2. Extensional versus intuitive reasoning: The conjunction fallacy in probability judgment.
    Tversky, Amos, Kahneman, Daniel · 1983 · Psychological Review
  3. Risk as Analysis and Risk as Feelings: Some Thoughts about Affect, Reason, Risk, and Rationality
    Slovic, Paul, Finucane, Melissa L., Peters, Ellen, MacGregor, Donald G. · 2004 · Risk Analysis
  4. Representativeness revisited: Attribute substitution in intuitive judgment.
    Kahneman, Daniel, Frederick, Shane · 2002 · Heuristics and Biases
  5. Mood and judgment: The affect infusion model (AIM).
    Forgas, Joseph P. · 1995 · Psychological Bulletin

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Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Affect, generalization, and the perception of risk. https://app.cochat.ai/papers/10.1037//0022-3514.45.1.20
The paper
Johnson, E. J., & Tversky, A. (1983). Affect, generalization, and the perception of risk. Journal of Personality and Social Psychology. https://doi.org/10.1037//0022-3514.45.1.20

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