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Averting Catastrophe

Decision Theory for Covid-19, Climate Change, and Potential Disasters of All Kinds

Bibliographic Data

ID20009357
AuthorsCass R Sunstein (0000-0003-4194-3008, corresponding author)
Year2021
Publication date2021-03-29
Open AccessNo
TypeBOOK
VenueAverting Catastrophe (SOURCE_BOOK)
PublisherNew York University Press (PUBLISHER)
DOI10.18574/nyu/9781479808496.001.0001
OpenAlexW4293166094
ISBN9781479808496
LanguageEN
Citations received6

Best-selling author Cass R. Sunstein examines how to avoid worst-case scenarios The world is increasingly confronted with new challenges related to climate change, globalization, disease, and technology. Governments are faced with having to decide how much risk is worth taking, how much destruction and death can be tolerated, and how much money should be invested in the hopes of avoiding catastrophe. Lacking full information, should decision-makers focus on avoiding the most catastrophic outcomes? When should extreme measures be taken to prevent as much destruction as possible? Averting Catastrophe explores how governments ought to make decisions in times of imminent disaster. Cass R. Sunstein argues that using the “maximin rule,” which calls for choosing the approach that eliminates the worst of the worst-case scenarios, may be necessary when public officials lack important information, and when the worst-case scenario is too disastrous to contemplate. He underscores this argument by emphasizing the reality of “Knightian uncertainty,” found in circumstances in which it is not possible to assign probabilities to various outcomes. Sunstein brings foundational issues in decision theory in close contact with real problems in regulation, law, and daily life, and considers other potential future risks. At once an approachable introduction to decision-theory and a provocative argument for how governments ought to handle risk, Averting Catastrophe offers a definitive path forward in a world rife with uncertainty

Computer Science · Infrastructure Resilience and Vulnerability Analysis · Risk Perception and Management

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Citations per year1.2
Citation span2021 - 2024 (4)
Highly citedNo

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