↓ Skip to main content

PLOS

The Gambler’s Fallacy Is Associated with Weak Affective Decision Making but Strong Cognitive Ability

Overview of attention for article published in PLOS ONE, October 2012
Altmetric Badge

Mentioned by

news
5 news outlets
twitter
16 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page
reddit
1 Redditor

Readers on

mendeley
93 Mendeley
Title
The Gambler’s Fallacy Is Associated with Weak Affective Decision Making but Strong Cognitive Ability
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047019
Pubmed ID
Authors

Gui Xue, Qinghua He, Xuemei Lei, Chunhui Chen, Yuyun Liu, Chuansheng Chen, Zhong-Lin Lu, Qi Dong, Antoine Bechara

Abstract

Humans demonstrate an inherent bias towards making maladaptive decisions, as shown by a phenomenon known as the gambler's fallacy (GF). The GF has been traditionally considered as a heuristic bias supported by the fast and automatic intuition system, which can be overcome by the reasoning system. The present study examined an intriguing hypothesis, based on emerging evidence from neuroscience research, that the GF might be attributed to a weak affective but strong cognitive decision making mechanism. With data from a large sample of college students, we found that individuals' use of the GF strategy was positively correlated with their general intelligence and executive function, such as working memory and conflict resolution, but negatively correlated with their affective decision making capacities, as measured by the Iowa Gambling Task. Our result provides a novel insight into the mechanisms underlying the GF, which highlights the significant role of affective mechanisms in adaptive decision-making.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Chile 1 1%
Australia 1 1%
China 1 1%
Bosnia and Herzegovina 1 1%
United States 1 1%
Luxembourg 1 1%
Unknown 86 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 28%
Researcher 18 19%
Student > Master 13 14%
Student > Bachelor 9 10%
Student > Doctoral Student 5 5%
Other 12 13%
Unknown 10 11%
Readers by discipline Count As %
Psychology 42 45%
Medicine and Dentistry 9 10%
Agricultural and Biological Sciences 4 4%
Business, Management and Accounting 3 3%
Social Sciences 3 3%
Other 13 14%
Unknown 19 20%