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Sunk cost sensitivity in mice, rats, and humans on the Restaurant Row and WebSurf tasks cannot be explained by attrition biases alone

View ORCID ProfileA. David Redish, View ORCID ProfileBrian M. Sweis, Samantha Abram, Anneke Duin, Rebecca Kazinka, Adrina Kocharian, View ORCID ProfileAngus MacDonald III, Brandy Schmidt, View ORCID ProfileNeil Schmitzer-Tobert, View ORCID ProfileMark Thomas
doi: https://doi.org/10.1101/2021.10.07.462802
A. David Redish
1Department of Neuroscience, University of Minnesota
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  • For correspondence: redish@umn.edu
Brian M. Sweis
2Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029
3Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029
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Samantha Abram
4San Francisco Veterans Affairs Medical Center, 4150 Clement Street, San Francisco, CA 94121
5Department of Psychiatry and Behavioral Sciences, University of California San Francisco, 505 Parnassus Avenue, San Francisco, CA 94143
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Anneke Duin
6National Institutes of Health, 9000 Rockville Pike, Bethesda, Maryland 20892
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Rebecca Kazinka
7Graduate Program in Clinical Science & Psychopathology Research, University of Minnesota
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Adrina Kocharian
8Graduate Program in Neuroscience, University of Minnesota, and Medical Scientist Training Program, University of Minnesota
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Angus MacDonald III
9Department of Psychology, University of Minnesota
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Brandy Schmidt
1Department of Neuroscience, University of Minnesota
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Neil Schmitzer-Tobert
10Department of Psychology, Wabash College
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Mark Thomas
1Department of Neuroscience, University of Minnesota
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Abstract

In a recent bioRxiv preprint, Ott et al. argue that sensitivities to sunk costs that have been reported in two serial foraging tasks (the Restaurant Row task in mice and rats, and the Web-Surf task in humans) may be due to simple consequences of the way that subjects perform these tasks and not due to an actual sensitivity to sunk costs. However, several variants of these tasks have been studied, in which the sensitivity to sunk costs changes. In order to test the Ott et al. model against these experimental observations, we simulated the model under these additional experimental conditions. We find that it is incompatible with the actual data. While we applaud the simplicity of the Ott et al. model, we must reject it as an explanation for the observed sensitivity to sunk costs seen in these tasks. We thus conclude that the alternative explanation - that mice, rats, and humans are sensitive to actual sunk costs in these tasks - is a better explanation for the data.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • brian.sweis{at}mountsinai.org, samantha.abram{at}ucsf.edu, duinx008{at}umn.edu, kazin003{at}umn.edu, kocha048{at}umn.edu, angus{at}umn.edu, schmidtb{at}umn.edu, torbertn{at}wabash.edu, tmhomas{at}umn.edu

  • https://github.com/adredish/SunkCostModels-Redish2021

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted October 09, 2021.
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Sunk cost sensitivity in mice, rats, and humans on the Restaurant Row and WebSurf tasks cannot be explained by attrition biases alone
A. David Redish, Brian M. Sweis, Samantha Abram, Anneke Duin, Rebecca Kazinka, Adrina Kocharian, Angus MacDonald III, Brandy Schmidt, Neil Schmitzer-Tobert, Mark Thomas
bioRxiv 2021.10.07.462802; doi: https://doi.org/10.1101/2021.10.07.462802
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Sunk cost sensitivity in mice, rats, and humans on the Restaurant Row and WebSurf tasks cannot be explained by attrition biases alone
A. David Redish, Brian M. Sweis, Samantha Abram, Anneke Duin, Rebecca Kazinka, Adrina Kocharian, Angus MacDonald III, Brandy Schmidt, Neil Schmitzer-Tobert, Mark Thomas
bioRxiv 2021.10.07.462802; doi: https://doi.org/10.1101/2021.10.07.462802

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