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2022
DOI: 10.1371/journal.pone.0261890
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The hot hand in the wild

Abstract: Streaks of success have always fascinated people and a lot of research has been conducted to identify whether the “hot hand” effect is real. While sports have provided an appropriate platform for studying this phenomenon, the majority of existing literature examines scenarios in a vacuum with results that might or might not be applicable in the wild. In this study, we build on the existing literature and develop an appropriate framework to quantify the extent to which success can come in streaks—beyond the str… Show more

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Cited by 2 publications
(2 citation statements)
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References 19 publications
(39 reference statements)
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“…However, given that I essentially perform multiple statistical tests—one for each player—I expect some of them to deem statistically significant results even by chance. Therefore, I perform a meta-test to calculate the probability that all of the data points that came out as statistically significant are false positives 25 , 26 . In particular, under the—realistic in this case—assumption that the tests are not correlated I can use the Binomial distribution for a meta-test.…”
Section: Methodsmentioning
confidence: 99%
“…However, given that I essentially perform multiple statistical tests—one for each player—I expect some of them to deem statistically significant results even by chance. Therefore, I perform a meta-test to calculate the probability that all of the data points that came out as statistically significant are false positives 25 , 26 . In particular, under the—realistic in this case—assumption that the tests are not correlated I can use the Binomial distribution for a meta-test.…”
Section: Methodsmentioning
confidence: 99%
“…However, given that we essentially perform multiple statistical tests -one for each player -we expect some of them to deem statistically significant results even by chance. Therefore, we perform a meta-test to calculate the probability that all of the data points that came out as statistically significant are false positives 8,9 . In particular, under the -realistic in our case -assumption that our tests are not correlated we can use the Binomial distribution for a meta-test.…”
Section: Methodsmentioning
confidence: 99%