The DOI matches its Crossref record.
Risk and Culture: An Essay on the Selection of Technological and Environmental Dangers
Abstract
Can we know the risks we face, now or in the future? No, we cannot; but yes, we must act as if we do. Some dangers are unknown; others are known, but not by us because no one person can know everything. Most people cannot be aware of most dangers at most times. Hence, no one can calculate precisely the total risk to be faced. How, then, do people decide which risks to take and which to ignore? On what basis are certain dangers guarded against and others relegated to secondary status? This book explores how we decide what risks to take and which to ignore, both as individuals and as a culture.
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Horses can be dangerous, especially when humans ignore harmful situations or activities and choose not to control risk.
“Horses can be dangerous, especially when humans ignore harmful situations or activities and choose not to control risk [1,2,3].”
From What People Really Think About Safety around Horses: The Relationship between Risk Perception, Values and Safety Behaviours (2020) · cites this paper as [2]
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Beck, U. (1996) · Theory, Culture & Society · doi:10.1177/0263276496013004001 · Cited by 397
To call or not to call: a judgement of risk by pre‐registration house officers
Stewart, J. (2008) · Medical Education · doi:10.1111/j.1365-2923.2008.03123.x · Cited by 51
Mercado, R. M. (2016) · Procedia Environmental Sciences · doi:10.1016/j.proenv.2016.04.043 · Cited by 43
Chapman, M., Thomas, M., & Thompson, K. (2020) · Animals · doi:10.3390/ani10122222 · Cited by 20
Republicans and Climate Change: An Audience Analysis of Predictors for Belief and Policy Preferences
Rolfe-Redding, J., Maibach, E. W., Feldman, L., & Leiserowitz, A. (2012) · doi:10.2139/ssrn.2026002 · Cited by 15
Metadata
- Authors
- Douglas, M., & Wildavsky, A.
- Publisher
- University of California Press
- Published
- 2019-07-24
- Cited by
- 1,425
- References
- 0
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.
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