A Cold Shower for the Hot Hand Fallacy: Robust Evidence from Controlled Settings
Abstract The canonical hot hand fallacy result was recently reversed, based largely on a single statistic, and a data set that was underpowered for individual-level testing. Here we perform a more robust analysis, testing whether hot hand performance exists across (i) data sets: four different controlled shooting experiments, (ii) time: multiple sessions per individual spread across a six month gap, and (iii) various (improved) approaches to statistical testing. We find strong evidence of hot hand performance, both across data sets and within individuals across time. Moreover, in a study of beliefs, we find that expert observers can successfully predict which shooters get the hottest.
Authors
- Joshua B. Miller (ORCID: https://orcid.org/0000-0001-8412-3689)
- Adam Sanjurjo
Institutions
- University of Alicante (ES)
- The University of Melbourne (AU)
Publication Details
- Journal
- The Review of Economics and Statistics
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1162/rest_a_01280
- Citations
- 4
- Primary Topic
- Sports Analytics and Performance
- Type
- article
- Field-Weighted Citation Impact
- 4.52