ArticleRisk analysis : an official publication of the Society for Risk Analysis2026
Evolutionarily Optimal Risk Aversion.
Article in Risk analysis : an official publication of the Society for Risk Analysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
Abstract
In an experimental choice situation, we identify risk-acceptability thresholds and show how such thresholds are updated in response to benchmark information, a recurrent feature of health, safety, and environmental (HS&E) risk governance. We present a theoretical framework linking the observed behavior to an underlying evolutionary parameter, which in this case is (an abstract notion of) risk aversion. The theoretical model allows to predict how the experimental subjects adjust their risk aversion when informed about the risky choices of others. Applications of the framework arise naturally in HS&E settings, where individuals and organizations revise risk thresholds by observing peers, experienced coworkers, or acknowledged experts. By distinguishing confidence-driven inertia from trust-driven overreaction, the paper provides actionable guidance for HS&E risk communication and adaptive risk management.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.