Department of Psychology, University of Bath, Bath, United Kingdom.
Department of Psychology, University of Warwick, Coventry, UK.
Psychon Bull Rev. 2024 Jun;31(3):1301-1308. doi: 10.3758/s13423-023-02415-x. Epub 2023 Nov 16.
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.
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。