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How Probabilistic Risk Assessment Can Mislead Terrorism Risk Analysts
Abstract
Traditional probabilistic risk assessment (PRA), of the type originally developed for engineered systems, is still proposed for terrorism risk analysis. We show that such PRA applications are unjustified in general. The capacity of terrorists to seek and use information and to actively research different attack options before deciding what to do raises unique features of terrorism risk assessment that are not adequately addressed by conventional PRA for natural and engineered systems—in part because decisions based on such PRA estimates do not adequately hedge against the different probabilities that attackers may eventually act upon. These probabilities may differ from the defender's (even if the defender's experts are thoroughly trained, well calibrated, unbiased probability assessors) because they may be conditioned on different information. We illustrate the fundamental differences between PRA and terrorism risk analysis, and suggest use of robust decision analysis for risk management when attackers may know more about some attack options than we do.
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Citations
Cited by
Foundational Issues in Risk Assessment and Risk Management
Aven, T., & Zio, E. (2014) · Risk Analysis · doi:10.1111/risa.12132 · Cited by 256
Attack risk modelling for the San Diego maritime facilities
Patterson, D. A., & Bridgelall, R. (2020) · Marine Policy · doi:10.1016/j.marpol.2020.104210 · Cited by 7
Metadata
- Authors
- Brown, G. G., & Cox, Jr.
- Venue
- Risk Analysis
- Publisher
- Wiley
- Published
- 2010-09-15
- Volume
- 31
- Issue
- 2
- Pages
- 196-204
- ISSN
- 0272-4332 (ISSN-L)
- 1539-6924
- OpenAlex
- W2109183665
- Cited by
- 165
- References
- 0
- FWCI
- 6.62
- Type
- journal article
- Language
- en
- Open access
- closed
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- Brown, G. G., & Cox, Jr. (2011). How Probabilistic Risk Assessment Can Mislead Terrorism Risk Analysts. Risk Analysis. https://doi.org/10.1111/j.1539-6924.2010.01492.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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