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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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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). |
format | Online Article Text |
id | pubmed-4564281 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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