Probing the improbable: methodological challenges for risks with low probabilities and high stakes
Open accessAbstract
Some risks have extremely high stakes. For example, a worldwide pandemic or asteroid impact could potentially kill more than a billion people. Comfortingly, scientific calcultions often put very low probabilities on the occurrence of such catastrophes. In this paper, we argue that there are important new methodological problems which arise when assessing global catastrophic risks and we focus on a problem regarding probability estimation. When an expert provides a calculation of the probability of an outcome, they are really providing the probability of the outcome occurring, given that their argument is watertight. However, their argument may fail for a number of reasons, such as a flaw in the underlying theory, a flaw in the modelling of the problem or a mistake in the calculations. If the probability estimate given by an argument is dwarfed by the chance that the argument itself is flawed, then the estimate is suspect. We develop this idea formally, explaining how it differs from the related distinction between model and parameter uncertainty. Using the risk estimates from the Large Hadron Collider as a test case, we show how serious the problem can be when it comes to catastrophic risks and how best to address it.
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“Understanding risks which are plausible, high-impact, but low or unknown-probability is critical for robust decision making under uncertainty (Ord et al., 2010; Kunreuther et al., 2013; Wagner and Weitzman, 2015).”
Background
- Authors
- Ord, T., Hillerbrand, R., & Sandberg, A.
- Affiliations
- University of Oxford (GB)
- RWTH Aachen University (DE)
- Corresponding author
- Ord, Toby
- Venue
- Journal of Risk Research
- Publisher
- Informa UK Limited
- Published
- 2010-03
- Volume
- 13
- Issue
- 2
- Pages
- 191-205
- ISSN
- 1366-9877 (ISSN-L)
- 1466-4461
- OpenAlex
- W2123253865
- Cited by
- 72
- References
- 42
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 6 · 2023: 3 · 2022: 1 · 2021: 6 · 2020: 9 · 2019: 7 · 2018: 7 · 2017: 8 · 2016: 4 · 2015: 3 · 2014: 3 · 2013: 2 · 2012: 6
- FWCI
- 10.37
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Journal of Risk Research (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- RWTH Publications (RWTH Aachen) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Social Sciences › Sociology and Political Science › Risk Perception and Management
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Risk and Safety Analysis
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Keywords
- global catastrophic risk, probability estimation, model uncertainty, parameter uncertainty, expert opinion, Large Hadron Collider, risk assessment methodology
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