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Optimism Bias in Fans and Sports Reporters

People are optimistic about their prospects relative to others. However, existing studies can be difficult to interpret because outcomes are not zero-sum. For example, one person avoiding cancer does not necessitate that another person develops cancer. Ideally, optimism bias would be evaluated withi...

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Detalles Bibliográficos
Autores principales: Love, Bradley C., Kopeć, Łukasz, Guest, Olivia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4564281/
https://www.ncbi.nlm.nih.gov/pubmed/26352146
http://dx.doi.org/10.1371/journal.pone.0137685
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author Love, Bradley C.
Kopeć, Łukasz
Guest, Olivia
author_facet Love, Bradley C.
Kopeć, Łukasz
Guest, Olivia
author_sort Love, Bradley C.
collection PubMed
description People are optimistic about their prospects relative to others. However, existing studies can be difficult to interpret because outcomes are not zero-sum. For example, one person avoiding cancer does not necessitate that another person develops cancer. Ideally, optimism bias would be evaluated within a closed formal system to establish with certainty the extent of the bias and the associated environmental factors, such that optimism bias is demonstrated when a population is internally inconsistent. Accordingly, we asked NFL fans to predict how many games teams they liked and disliked would win in the 2015 season. Fans, like ESPN reporters assigned to cover a team, were overly optimistic about their team’s prospects. The opposite pattern was found for teams that fans disliked. Optimism may flourish because year-to-year team results are marked by auto-correlation and regression to the group mean (i.e., good teams stay good, but bad teams improve).
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spelling pubmed-45642812015-09-17 Optimism Bias in Fans and Sports Reporters Love, Bradley C. Kopeć, Łukasz Guest, Olivia PLoS One Research Article People are optimistic about their prospects relative to others. However, existing studies can be difficult to interpret because outcomes are not zero-sum. For example, one person avoiding cancer does not necessitate that another person develops cancer. Ideally, optimism bias would be evaluated within a closed formal system to establish with certainty the extent of the bias and the associated environmental factors, such that optimism bias is demonstrated when a population is internally inconsistent. Accordingly, we asked NFL fans to predict how many games teams they liked and disliked would win in the 2015 season. Fans, like ESPN reporters assigned to cover a team, were overly optimistic about their team’s prospects. The opposite pattern was found for teams that fans disliked. Optimism may flourish because year-to-year team results are marked by auto-correlation and regression to the group mean (i.e., good teams stay good, but bad teams improve). Public Library of Science 2015-09-09 /pmc/articles/PMC4564281/ /pubmed/26352146 http://dx.doi.org/10.1371/journal.pone.0137685 Text en © 2015 Love et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Love, Bradley C.
Kopeć, Łukasz
Guest, Olivia
Optimism Bias in Fans and Sports Reporters
title Optimism Bias in Fans and Sports Reporters
title_full Optimism Bias in Fans and Sports Reporters
title_fullStr Optimism Bias in Fans and Sports Reporters
title_full_unstemmed Optimism Bias in Fans and Sports Reporters
title_short Optimism Bias in Fans and Sports Reporters
title_sort optimism bias in fans and sports reporters
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4564281/
https://www.ncbi.nlm.nih.gov/pubmed/26352146
http://dx.doi.org/10.1371/journal.pone.0137685
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