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Fair Coins Tend to Land on the Same Side They Started: Evidence from 350,757 Flips

  • František Bartoš*
  • , Alexandra Sarafoglou
  • , Henrik R. Godmann
  • , Amir Sahrani
  • , David Klein Leunk
  • , Pierre Y. Gui
  • , David Voss
  • , Kaleem Ullah
  • , Malte Zoubek
  • , Franziska Nippold
  • , Frederik Aust
  • , Felipe Fontana Vieira
  • , Chris-Gabriel Islam
  • , Anton J. Zoubek
  • , Sara Shabani
  • , Jonas Petter
  • , Ingeborg B. Roos
  • , Adam Finnemann
  • , Aaron B. Lob
  • , Madlen F. Hoffstadt
  • Jason Nak, Jill de Ron, Koen Derks, Karoline Huth, Sjoerd Terpstra, Thomas Bastelica, Magda Matetovici, Vincent L. Ott, Andreea S. Zetea, Katharina Karnbach, Michelle C. Donzallaz, Arne John, Roy M. Moore, Franziska Assion, Riet van Bork, Theresa E. Leidinger, Xiaochang Zhao, Adrian Karami Motaghi, Ting Pan, Hannah Armstrong, Tianqi Peng, Mara Bialas, Joyce Y. -C. Pang, Bohan Fu, Shujun Yang, Xiaoyi Lin, Dana Sleiffer, Miklos Bognar, Balazs Aczel, Eric-Jan Wagenmakers
*Corresponding author for this work
  • University of Amsterdam
  • University of Kassel
  • KU Leuven
  • University of Göttingen
  • Hasselt University
  • Gutenberg School Wiesbaden
  • Justus Liebig University Giessen
  • Amsterdam UMC - University of Amsterdam
  • University of Zurich
  • Nyenrode Business University
  • Utrecht University
  • Centre Hospitalier le Vinatier
  • Institut national de la santé et de la recherche médicale
  • Vrije Universiteit Amsterdam
  • Radboud University Nijmegen
  • Eötvös Loránd University

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Many people have flipped coins but few have stopped to ponder the statistical and physical intricacies of the process. We collected 350,757 coin flips to test the counterintuitive prediction from a physics model of human coin tossing developed by Diaconis, Holmes, and Montgomery (DHM; 2007). The model asserts that when people flip an ordinary coin, it tends to land on the same side it started. Our data support this prediction: the coins landed on the same side more often than not, (Formula presented.), 95% credible interval (CI) [0.506, 0.509], (Formula presented.). Furthermore, the data revealed considerable between-people variation in the degree of this same-side bias. Our data also confirmed the generic prediction that when people flip an ordinary coin—with the initial side-up randomly determined—it is equally likely to land heads or tails: (Formula presented.), 95% CI [0.498, 0.502], (Formula presented.). Additional analyses revealed that the within-people same-side bias decreased as more coins were flipped, an effect that is consistent with the possibility that practice makes people flip coins in a less wobbly fashion. Our data therefore provide strong evidence that when some (but not all) people flip a fair coin, it tends to land on the same side it started. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
Original languageEnglish
Pages (from-to)2118-2127
Number of pages10
JournalJournal of the American Statistical Association
Volume120
Issue number552
Early online date2025
DOIs
Publication statusPublished - 2025

Keywords

  • Bayesian model-averaging
  • Chance
  • Informed hypothesis
  • Physics
  • Probability
  • Randomness

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