The DOI matches its Crossref record.
Facts versus fears: Understanding perceived risk
Abstract
People respond to the hazards they perceive. If their perceptions are faulty, efforts at personal, public, and environmental protection are likely to be misdirected. For some hazards, such as motor vehicle accidents, extensive statistical data are readily available. For other familiar activities, such as the consumption of alcohol and tobacco, assessment of risk requires complex epidemiological and experimental studies. However, even when statistical data are plentiful, the “hard” facts can only go so far toward developing policy. At some point, human judgment is needed to interpret the findings and determine their relevance. Still other hazards, such as those associated with recombinant DNA research or nuclear power, are so new that risk assessment must be based on complex theoretical analyses such as fault trees (see Figure 1), rather than on direct experience. Despite an appearance of objectivity, these analyses, too, include a large component of judgment. Someone, relying on educated intuition, must determine the structure of the problem, the consequences to be considered, and the importance of the various branches of the fault tree. Once the analyses have been performed, they must be communicated to those who actually manage hazards, including industrialists, environmentalists, regulators, legislators, and voters. If these people do not understand or believe the data they are shown, then distrust, conflict, and ineffective hazard management are likely.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Clarifying the Entrepreneurial Orientation Construct and Linking It to Performance
Lumpkin, G. T., & Dess, G. G. (1996) · The Academy of Management Review · doi:10.5465/amr.1996.9602161568 · Cited by 10,159
Ethical Decision Making by Individuals in Organizations: An Issue-Contingent Model
Jones, T. M. (1991) · The Academy of Management Review · doi:10.2307/258867 · Cited by 4,135
Reconceptualizing the Determinants of Risk Behavior
Sitkin, S. B., & Pablo, A. L. (1992) · The Academy of Management Review · doi:10.2307/258646 · Cited by 2,057
Pathological gambling: Etiology, comorbidity, and treatment.
Petry, N. M. (2005) · doi:10.1037/10894-000 · Cited by 659
A Social Network Contagion Theory of Risk Perception
Scherer, C. W., & Cho, H. (2003) · Risk Analysis · doi:10.1111/1539-6924.00306 · Cited by 355
Williams, D. J., & Noyes, J. M. (2007) · Theoretical Issues in Ergonomics Science · doi:10.1080/14639220500484419 · Cited by 179
Risk perception, stress and coping strategies in two catastrophe risk situations
López-Vázquez, E., & Marván, M. L. (2003) · Social Behavior and Personality: an international journal · doi:10.2224/sbp.2003.31.1.61 · Cited by 73
Griffin, D. W., & Harris, P. R. (2011) · Psychological Science · doi:10.1177/0956797611405678 · Cited by 34
Metadata
- Authors
- Slovic, P., Fischhoff, B., & Lichtenstein, S.
- Venue
- Judgment under Uncertainty
- Publisher
- Cambridge University Press
- Published
- 1982-04-30
- Pages
- 463-490
- OpenAlex
- W1589980147
- Cited by
- 634
- References
- 0
- FWCI
- 45.22
- Type
- book chapter
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.