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Estimating the probability of negative events

机译:估计负面事件的可能性

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How well we are attuned to the statistics of our environment is a fundamental question in understanding human behaviour. It seems particularly important to be able to provide accurate assessments of the probability with which negative events Occur so as to guide rational choice of preventative actions. One question that arises here is whether or not our probability estimates for negative events are systematically biased by their severity. In a minimal experimental context involving an unambiguous, objective representation of probability, we found that participants judged a controllable event as more likely to occur when its utility was extremely negative than when it was more neutral. A decision-theoretic explanation based on loss function asymmetries is advanced which supports the claim that probability estimates are not intrinsically biased by utilities. (C) 2008 Elsevier B.V. All rights reserved.
机译:我们对环境统计的了解程度如何是理解人类行为的基本问题。能够对负面事件发生的可能性进行准确评估,以指导合理选择预防措施似乎显得尤为重要。这里出现的一个问题是,我们对负面事件的概率估计是否因其严重性而系统地存在偏差。在涉及明确,客观的概率表示的最小实验环境中,我们发现,参与者认为可控事件在其效用极负时比在其更为中立时更有可能发生。提出了基于损失函数不对称性的决策理论解释,它支持了概率估计在本质上不受效用影响的说法。 (C)2008 Elsevier B.V.保留所有权利。

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