Automated Author ProfileBialas, Mara
Bialas, Mara
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.1 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
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, Pr(same side)=0.508, 95% credible interval (CI) [0.506, 0.509], BFsame‐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:Pr(heads)=0.500, 95% CI [0.498, 0.502], BFheads‐tails bias=0.182. 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.
Authors
- Bartoš, František ;
- Sarafoglou, Alexandra ;
- Godmann, Henrik R. ;
- Sahrani, Amir ;
- Leunk, David Klein ;
- Gui, Pierre Y. ;
- Voss, David ;
- Ullah, Kaleem ;
- Zoubek, Malte ;
- Nippold, Franziska ;
- Aust, Frederik ;
- Vieira, Felipe Fontana ;
- Islam, Chris-Gabriel ;
- Zoubek, Anton J. ;
- Shabani, Sara ;
- Petter, Jonas ;
- Roos, Ingeborg B. ;
- Finnemann, Adam ;
- Lob, Aaron B. ;
- Hoffstadt, Madlen F. ;
- Nak, Jason ;
- de Ron, Jill ;
- Derks, Koen ;
- Huth, Karoline ;
- Terpstra, Sjoerd ;
- Bastelica, Thomas ;
- Matetovici, Magda ;
- Ott, Vincent L. ;
- Zetea, Andreea S. ;
- Karnbach, Katharina ;
- Donzallaz, Michelle C. ;
- John, Arne ;
- Moore, Roy M. ;
- Assion, Franziska ;
- van Bork, Riet ;
- Leidinger, Theresa E. ;
- Zhao, Xiaochang ;
- Motaghi, Adrian Karami ;
- Pan, Ting ;
- Armstrong, Hannah ;
- Peng, Tianqi ;
- Bialas, Mara ;
- Pang, Joyce Y.-C. ;
- Fu, Bohan ;
- Yang, Shujun ;
- Lin, Xiaoyi ;
- Sleiffer, Dana ;
- Bognar, Miklos ;
- Aczel, Balazs ;
- Wagenmakers, Eric-Jan
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, Pr(same side)=0.508, 95% credible interval (CI) [0.506, 0.509], BFsame−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:Pr(heads)=0.500, 95% CI [0.498, 0.502], BFheads−tails bias=0.182. 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.
Authors
- Bartoš, František ;
- Sarafoglou, Alexandra ;
- Godmann, Henrik R. ;
- Sahrani, Amir ;
- Leunk, David Klein ;
- Gui, Pierre Y. ;
- Voss, David ;
- Ullah, Kaleem ;
- Zoubek, Malte J. ;
- Nippold, Franziska ;
- Aust, Frederik ;
- Vieira, Felipe F. ;
- Islam, Chris-Gabriel ;
- Zoubek, Anton J. ;
- Shabani, Sara ;
- Petter, Jonas ;
- Roos, Ingeborg B. ;
- Finnemann, Adam ;
- Lob, Aaron B. ;
- Hoffstadt, Madlen F. ;
- Nak, Jason ;
- de Ron, Jill ;
- Derks, Koen ;
- Huth, Karoline ;
- Terpstra, Sjoerd ;
- Bastelica, Thomas ;
- Matetovici, Magda ;
- Ott, Vincent L. ;
- Zetea, Andreea S. ;
- Karnbach, Katharina ;
- Donzallaz, Michelle C. ;
- John, Arne ;
- Moore, Roy M. ;
- Assion, Franziska ;
- van Bork, Riet ;
- Leidinger, Theresa E. ;
- Zhao, Xiaochang ;
- Motaghi, Adrian Karami ;
- Pan, Ting ;
- Armstrong, Hannah ;
- Peng, Tianqi ;
- Bialas, Mara ;
- Pang, Joyce Y.-C. ;
- Fu, Bohan ;
- Yang, Shujun ;
- Lin, Xiaoyi ;
- Sleiffer, Dana ;
- Bognar, Miklos ;
- Aczel, Balazs ;
- Wagenmakers, Eric-Jan
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, Pr(same side)=0.508, 95% credible interval (CI) [0.506, 0.509], BFsame‐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:Pr(heads)=0.500, 95% CI [0.498, 0.502], BFheads‐tails bias=0.182. 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.
Authors
- Bartoš, František ;
- Sarafoglou, Alexandra ;
- Godmann, Henrik R. ;
- Sahrani, Amir ;
- Leunk, David Klein ;
- Gui, Pierre Y. ;
- Voss, David ;
- Ullah, Kaleem ;
- Zoubek, Malte ;
- Nippold, Franziska ;
- Aust, Frederik ;
- Vieira, Felipe Fontana ;
- Islam, Chris-Gabriel ;
- Zoubek, Anton J. ;
- Shabani, Sara ;
- Petter, Jonas ;
- Roos, Ingeborg B. ;
- Finnemann, Adam ;
- Lob, Aaron B. ;
- Hoffstadt, Madlen F. ;
- Nak, Jason ;
- de Ron, Jill ;
- Derks, Koen ;
- Huth, Karoline ;
- Terpstra, Sjoerd ;
- Bastelica, Thomas ;
- Matetovici, Magda ;
- Ott, Vincent L. ;
- Zetea, Andreea S. ;
- Karnbach, Katharina ;
- Donzallaz, Michelle C. ;
- John, Arne ;
- Moore, Roy M. ;
- Assion, Franziska ;
- van Bork, Riet ;
- Leidinger, Theresa E. ;
- Zhao, Xiaochang ;
- Motaghi, Adrian Karami ;
- Pan, Ting ;
- Armstrong, Hannah ;
- Peng, Tianqi ;
- Bialas, Mara ;
- Pang, Joyce Y.-C. ;
- Fu, Bohan ;
- Yang, Shujun ;
- Lin, Xiaoyi ;
- Sleiffer, Dana ;
- Bognar, Miklos ;
- Aczel, Balazs ;
- Wagenmakers, Eric-Jan