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arXiv:2310.04153math.HO

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 J. Zoubek, Franziska Nippold, Frederik Aust, Felipe F. 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

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 -- DHM estimated the probability of a same-side outcome to be about 51\%. Our data lend strong support to this precise prediction: the coins landed on the same side more often than not, $\text{Pr}(\text{same side}) = 0.508$, 95\% credible interval (CI) [$0.506$, $0.509$], $\text{BF}_{\text{same-side bias}} = 2359$. 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: $\text{Pr}(\text{heads}) = 0.500$, 95\% CI [$0.498$, $0.502$], $\text{BF}_{\text{heads-tails bias}} = 0.182$. Furthermore, this lack of heads-tails bias does not appear to vary across coins. 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.

arXiv comments
Journal reference
DOI
doi:10.1080/01621459.2025.2516210
Subjects
math.HOHistory and Overview physics.data-anData Analysis, Statistics and Probability stat.OTOther Statistics

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Linked by 5 identifiable commenters in 5 comments across 4 threads, from Oct 2023 to Jan 2024. Found in 2 HN submissions from Oct 2023 to Apr 2026. Open submission discussions.

Comments linking this paper, per year.

Discussed in comments4 threads

    • Fair coins tend to land on the same side they started: Evidence from 350,757 flips [revised 10 Oct 2023] https://arxiv.org/abs/2310.04153

      rolphView on HNParent context

    • "51% Dynamical Bias in the Coin Toss [pdf]" (2007) https://news.ycombinator.com/item?id=38725981 "Researchers flip coins 350k times to find out if odds are 50/50" (2023) https://news.ycombinator.com/item?id=37958554 : "Fair coins tend to land on the same side they started…

      westurnerView on HNParent context

  1. How random is xkcd? (2015) 1 comment
    • Just for curiosity sake, I looked at the standard RNG in C# and it is indeed flawed, but probably not enough to be seen unless you are doing formal tests. In [1] it says that numbers have a 0.5034 probability of being odd due to rounding errors in the algorithm that picks a…

      GuB-42View on HNParent context

    • About a year ago, we embarked on a quest to answer one of the most intriguing questions: If you flip a fair coin and catch it in hand, what's the probability it lands on the same side it started? Today, we are finally ready to share the results. Thanks to my friends…

      fbartosView on HNParent context

    • They actually flipped a coin >350,000 times and the paper has 49 authors. Based on the paper https://arxiv.org/pdf/2310.04153.pdf, they recorded video footage of each coin flip I thought they would have run a computer simulation instead.

      aviparsView on HNParent context

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