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The Gambler’s Fallacy: A Basic Inhibitory Process?

Overview of attention for article published in Frontiers in Psychology, January 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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3 news outlets
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6 X users

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14 Dimensions

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Title
The Gambler’s Fallacy: A Basic Inhibitory Process?
Published in
Frontiers in Psychology, January 2013
DOI 10.3389/fpsyg.2013.00072
Pubmed ID
Authors

James Lyons, Daniel J. Weeks, Digby Elliott

Abstract

Two studies were conducted to examine the relation between the gambler's fallacy (GF) and attentional processes associated with inhibition of return (IOR). In Study 1, participants completed rapid aiming movements to equally probable targets presented to the left and right. They also completed a gambling protocol in which they bet on the illumination of either target. Consistent with the IOR phenomenon, participants were slower to initiate their movements on trial N + 1 when the target was the same as trial N. Participants with more pronounced IOR were more likely to switch betting behavior after a win than participants with a smaller index. This betting behavior was also related to a GF index measured by a questionnaire. In Study 2, participants performed both the aiming task and the betting task with a partner. Each participant performed two trials before ceding to the partner. Thus we were able to examine IOR and betting behavior as a function of the participant's own previous trial and their partner's previous trial. The IOR effect was robust both within and between-participants. Participants were more likely to maintain their bet following an unsuccessful outcome regardless of whether it was their own outcome or their partner's outcome. This type of betting behavior is consistent with the GF. Individual IOR scores were a reliable predictor of betting behavior and the questionnaire was also successful in predicting behavior. In addition, the within-person IOR indices covaried with the GF index derived from the questionnaire. In summary, there appears to be a relation between IOR and the GF. We suggest that early humans developed specialized attentional systems to deal with non-random environmental contingencies, and that the automatic processes associated with these systems are sometimes maladaptive in artificial environments in which the same contingencies do not hold.

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X Demographics

The data shown below were collected from the profiles of 6 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 3%
Netherlands 1 3%
Germany 1 3%
Unknown 36 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 28%
Student > Master 7 18%
Student > Bachelor 6 15%
Student > Doctoral Student 3 8%
Researcher 3 8%
Other 6 15%
Unknown 3 8%
Readers by discipline Count As %
Psychology 20 51%
Medicine and Dentistry 4 10%
Agricultural and Biological Sciences 2 5%
Immunology and Microbiology 1 3%
Economics, Econometrics and Finance 1 3%
Other 5 13%
Unknown 6 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 June 2014.
All research outputs
#1,137,157
of 22,696,971 outputs
Outputs from Frontiers in Psychology
#2,284
of 29,445 outputs
Outputs of similar age
#10,565
of 280,682 outputs
Outputs of similar age from Frontiers in Psychology
#129
of 969 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,445 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 280,682 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 969 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.