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遭受损失是幸事:神话还是现实?

Suffering a Loss Is Good Fortune: Myth or Reality?

作者信息

Zhao Cui-Xia, Shen Si-Chu, Rao Li-Lin, Zheng Rui, Liu Huan, Li Shu

机构信息

School of Psychology Shandong Normal University Jinan China.

CAS Key Laboratory of Behavioral Science Institute of Psychology, Chinese Academy of Sciences Beijing China.

出版信息

J Behav Decis Mak. 2018 Jul;31(3):324-340. doi: 10.1002/bdm.2056. Epub 2017 Nov 29.

DOI:10.1002/bdm.2056
PMID:30008514
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6033005/
Abstract

We sometimes decide to take an offered option that results in apparent loss (e.g., unpaid overtime). Mainstream decision theory does not predict or explain this as a choice we want to make, whereas such a choice has long been described and highly regarded by the traditional Chinese dogma "" (suffering a loss is good fortune). To explore what makes the dogma work, we developed a celebrity anecdote-based scale to measure "Chikui" (suffering a loss) likelihood and found that:(i) people with higher scores on the Chikui Likelihood Scale (CLS) were more likely to report higher scores on subjective well-being and the Socioeconomic Index for the present and (ii) the current Socioeconomic Index could be positively predicted not only by current CLS scores but also by retrospective CLS scores recalled for the past, and the predictive effect was enhanced with increasing time intervals. Our findings suggest that "suffering a loss is good fortune" is not a myth but a certain reality.

摘要

我们有时会决定接受一个会带来明显损失的选项(例如,无薪加班)。主流决策理论并未将此预测或解释为我们想要做出的选择,而这种选择长期以来一直被中国传统信条“吃亏是福”所描述并高度推崇。为了探究该信条起作用的原因,我们开发了一种基于名人轶事的量表来衡量“吃亏”的可能性,并发现:(i)在吃亏可能性量表(CLS)上得分较高的人更有可能报告当前主观幸福感和社会经济指数得分更高,以及(ii)当前社会经济指数不仅可以由当前的CLS得分正向预测,还可以由回忆起的过去的CLS得分正向预测,并且预测效果会随着时间间隔的增加而增强。我们的研究结果表明,“吃亏是福”并非虚言,而是某种现实。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef60/6033005/64f2460562fe/BDM-31-324-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef60/6033005/b65b877a9c0b/BDM-31-324-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef60/6033005/28afb5aed516/BDM-31-324-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef60/6033005/c33b3afb2235/BDM-31-324-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef60/6033005/64f2460562fe/BDM-31-324-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef60/6033005/b65b877a9c0b/BDM-31-324-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef60/6033005/28afb5aed516/BDM-31-324-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef60/6033005/c33b3afb2235/BDM-31-324-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef60/6033005/64f2460562fe/BDM-31-324-g004.jpg

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