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风险选择中的罕见和极端结果。

Rare and extreme outcomes in risky choice.

机构信息

Department of Psychology, University of Bath, Bath, United Kingdom.

Department of Psychology, University of Warwick, Coventry, UK.

出版信息

Psychon Bull Rev. 2024 Jun;31(3):1301-1308. doi: 10.3758/s13423-023-02415-x. Epub 2023 Nov 16.

Abstract

Many real-world decisions involving rare events also involve extreme outcomes. Despite this confluence, decisions-from-experience research has only examined the impact of rarity and extremity in isolation. With rare events, people typically choose as if they underestimate the probability of a rare outcome happening. Separately, people typically overestimate the probability of an extreme outcome happening. Here, for the first time, we examine the confluence of these two biases in decisions-from-experience. In a between-groups behavioural experiment, we examine people's risk preferences for rare extreme outcomes and for rare non-extreme outcomes. When outcomes are both rare and extreme, people's risk preferences shift away from traditional risk patterns for rare events: they show reduced underweighting for events that are both rare and extreme. We simulate these results using a small-sample model of decision-making that accounts for both the underweighting of rare events and the overweighting of extreme events. These separable influences on risk preferences suggest that to understand real-world risk for rare events we must also consider the extremity of the outcomes.

摘要

许多涉及罕见事件的现实世界决策也涉及极端结果。尽管如此,基于经验的决策研究仅单独研究了稀有性和极端性的影响。对于罕见事件,人们通常的选择似乎是低估了罕见结果发生的概率。另一方面,人们通常高估了极端结果发生的概率。在这里,我们首次研究了这两种偏见在基于经验的决策中的融合。在一项分组行为实验中,我们研究了人们对罕见极端结果和罕见非极端结果的风险偏好。当结果既罕见又极端时,人们的风险偏好会偏离对罕见事件的传统风险模式:他们对既罕见又极端的事件表现出减轻的低估。我们使用一个小样本的决策模型来模拟这些结果,该模型考虑了罕见事件的低估和极端事件的高估。这些对风险偏好的可分离影响表明,为了理解罕见事件的现实世界风险,我们还必须考虑结果的极端程度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6286/11192811/1f4922937988/13423_2023_2415_Fig1_HTML.jpg

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