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10.1371/journal.pone.0137685 http://scihub22266oqcxt.onion/10.1371/journal.pone.0137685 C4564281!4564281!26352146     free     free     free Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26352146.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       PLoS+One 2015 ; 10 (9): ä Nephropedia Template TP {{tp|p=26352146|t=2015. Optimism Bias in Fans and Sports Reporters |pdf=|usr=}}{{26352146}} gab.com Text Optimism Bias in Fans and Sports Reporters JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=26352146 #FOAvip 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). Twit Text FOAVip Optimism Bias in Fans and Sports Reporters ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=26352146 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26352146 #FOAvip English Wikipedia <ref>{{Cite pmid|26352146}}</ref> Optimism Bias in Fans and Sports Reporters #MMPMID26352146 Love BC; Kope? ?; Guest O PLoS One 2015[]; 10 (9): ä PMID26352146show ga 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). äOptimism Bias in Fans and Sports Reporters (epmc).pdf DeepDyve Pubget Overpricing