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The Gambler's Fallacy: A Basic Inhibitory Process?

James Lyons1, Daniel J Weeks, Digby Elliott

  • 1Department of Kinesiology, McMaster University Hamilton, ON, Canada.

Frontiers in Psychology
|February 23, 2013
PubMed
Summary
This summary is machine-generated.

This study reveals a link between the gambler's fallacy (GF) and inhibition of return (IOR), an attentional process. Pronounced IOR predicted betting behavior consistent with GF, suggesting shared underlying mechanisms.

Keywords:
attentiongambler’s fallacygamblingillusion of controlinhibition of return

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Behavioral Economics

Background:

  • The gambler's fallacy (GF) describes the mistaken belief that past independent events influence future independent events.
  • Inhibition of return (IOR) is an attentional phenomenon where individuals are slower to respond to stimuli in previously attended locations.

Purpose of the Study:

  • To investigate the relationship between the gambler's fallacy (GF) and inhibition of return (IOR).
  • To determine if attentional processes, specifically IOR, predict gambling-related cognitive biases.

Main Methods:

  • Two studies were conducted using a rapid aiming task and a betting protocol.
  • Participants performed aiming movements and bet on target illumination, with IOR measured by movement initiation time.
  • Study 2 involved a partner to examine within- and between-participant IOR and betting behavior.

Main Results:

  • A significant relationship was found between IOR and GF.
  • Individuals with stronger IOR exhibited betting patterns consistent with the GF.
  • IOR scores reliably predicted betting behavior, even when considering a partner's performance.

Conclusions:

  • Attentional processes, particularly IOR, are linked to the gambler's fallacy.
  • These findings suggest that automatic attentional systems may contribute to cognitive biases in artificial environments.
  • The study highlights potential evolutionary underpinnings of attentional biases in decision-making.