What is it about?
When dealing with low-probability, high impact risks estimating probabilities becomes tricky. The reason is that there is always a chance that our theory of the world is wrong, that our model of the risk is mistaken, or that we do a calculation mistake. For unlikely risks this chance is much larger than the risk probability itself. This makes the risk estimate less effective in telling us the real risk than it looks. We demonstrate this problem with the debate about risks from particle accelerators and suggest that the way forward is to use multiple independent risk assessments.
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Why is it important?
Low-probability, high impact risks are important because despite their low chance of happening they might do too much damage if they happen to be acceptable. Consider the risk of a physics experiment accidentally destroying the world, killing all 7.5 billion current people *plus* all future generations. Reasoning well about such risks, especially in domains where we do not know all the rules, is important for mitigating them.
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This page is a summary of: Probing the improbable: methodological challenges for risks with low probabilities and high stakes, Journal of Risk Research, March 2010, Taylor & Francis,
DOI: 10.1080/13669870903126267.
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