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Related: Editorials & Other Articles, Issue Forums, Alliance Forums, Region ForumsCoin flips may not be 50/50 chance - study with 350,757 flips
Coin toss not so random after all, says groundbreaking study
Researchers at the University of Amsterdam recently made a surprising discovery that challenges long-held assumptions about the randomness of coin tossing. After flipping coins over 350,000 times, the largest study of its kind, they found that coins have a slight tendency to land on the same side they started on.
The data showed a small but statistically significant same-side bias of 51%, just slightly higher than the 50% predicted by chance. This subtle yet remarkable finding defies the conventional wisdom that coin flips represent a random and unpredictable 50/50 outcome.
Coins of 46 different currencies were flipped by hand and caught in the palms of 48 student participants to record the landing side. The data collection process required meticulous recording over many months, with flipping sessions videotaped to validate the results.
From the paper:
Could future coin tossers use the same-side bias to their advantage? The magnitude of the observed bias can be illustrated using a betting scenario. If you bet a dollar on the outcome of a coin toss (i.e., paying 1 dollar to enter, and winning either 0 or 2 dollars depending on the outcome) and repeat the bet 1,000 times, knowing the starting position of the coin toss would earn you 19 dollars on average. This is more than the casino advantage for 6 deck blackjack against an optimal-strategy player, where the casino would make 5 dollars on a comparable bet, but less than the casino advantage for single-zero roulette, where the casino would make 27 dollars on average. These considerations lead us to suggest that when coin flips are used for high-stakes decision-making, the starting position of the coin is best concealed.
https://boingboing.net/2023/10/10/coin-toss-not-so-random-after-all-says-groundbreaking-study.html
Link to the study
Fair coins tend to land on the same side they started: Evidence from 350,757 Flips
https://arxiv.org/abs/2310.04153
LuckyCharms
(22,650 posts)I didn't read the article yet, but I'm wondering if it has to do with the distribution of the weight of the metal on the obverse of the coin vs. the reverse.
In other words, I'm wondering if the coins are the same weight and balance on both the front and back.
underpants
(196,501 posts)I heard that on a radio show. Different denominations in each Im guessing.
Ferrets are Cool
(22,957 posts)The article said that the % was higher for whichever side the coin started.
LuckyCharms
(22,650 posts)side, regardless of the type or denomination.
Ferrets are Cool
(22,957 posts)That is the relevant thought.
roamer65
(37,953 posts)I bet you would be curious as well like me.
LuckyCharms
(22,650 posts)sl8
(17,110 posts)LuckyCharms
(22,650 posts)Sorry, just thinking out loud. Trying to do 50 things at once here. I'll check out the article later.
sl8
(17,110 posts)Note that they say they observed the difference with some (human) flippers, but not all.
Study (pdf) download link here:
https://arxiv.org/abs/2310.04153
ABSTRACT
Many people have fliipped coins but few have stopped to ponder the statistical and physical intricacies of the process. In a preregistered study we collected350,757coin flips to test the counterintuitive prediction from a physics model of human coin tossing developed by Persi Diaconis. The model asserts that when people flip an ordinary coin, it tends to land on the same side it started Diaconis 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,Pr(same side) = 0.508, 95% credible interval (CI) [0.506,0.509],BFsame-side bias= 2364. Furthermore, the data revealed considerable between-people variation in the degree of this same-side bias. Our data also conf i rmed the generic prediction that when people flip an ordinary coinwith the initial side-up randomly determinedit is equally likely to land heads or tails: Pr(heads) = 0.500, 95% CI [0.498,0.502], BFheads-tails bias= 0.183. Furthermore, this lack of heads-tails bias does not appear to vary across coins. 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. Our data provide compelling statistical support for Diaconis physics model of coin tossing.
LuckyCharms
(22,650 posts)no_hypocrisy
(54,908 posts)When you toss a coin, there is a 50/50 chance of the next toss coming up the same as the first toss.
Or when you toss a coin, the second time, it's random chance that it will be the same as the first toss.
Or when you toss a coin, multiple times, the chances of it will be the same will vary according to the number of times you toss it.
Cuthbert Allgood
(5,339 posts)Certainly the probability of 10 heads in a row is low, but the odds of heads/tails on that 10th flip is still 50/50 (this study not withstanding). You might want to bet on regression to the mean, but, again, each individual flip is forever and always 50/50.
Bettie
(19,704 posts)around here.
Thanks for the break.
I know nice been trying find some lighter but not Lounge stuff to post in GD.
https://www.democraticunderground.com/100218349391
I havent watched 2 minutes of news at home this week. Im sorry for everyone involved but I dont need to see it.
Amishman
(5,929 posts)With a similar rotation
Hugin
(37,848 posts)To see if they were controlling for that condition.
On its face (pun intended) you could be correct. To get consistent results then there must be something consistent in the process.
Sometimes the simplest questions are the most difficult to answer. Like why a bicycle tends to remain upright when rolled forward. They have done experiments on that controlling every variable they can think of including centripetal forces and atmospheric interactions and theres still no clear answer.
Wednesdays
(22,603 posts)my guess is it's the same reason why a gyroscope stays upright. A bicycle has two large "gyroscopes" on it. It stays upright as long as it's rolling, and when the rolling ebbs, that's when it falls over.
whopis01
(3,919 posts)But trying to explain why a gyroscope stays upright and resists motion is fairly complicated. And gyroscopes are fairly simple when it comes to rotating bodies because of their design, putting the majority of the mass into the rotating ring.
It gets even weirder when you have different mass distributions. Like this T shaped handle on the space station:
Renew Deal
(85,165 posts)sl8
(17,110 posts)edhopper
(37,370 posts)between heads and tales.
Cuthbert Allgood
(5,339 posts)I had to do with which side was facing up pre-flip. There was no heads/tails bias.
edhopper
(37,370 posts)didn't read the whole thing.
Old Crank
(7,078 posts)If you could flip a coin so that it turns over for 10 full rotations, Or any other full rotation number. it will land on the side it started on. If I were to care that I flipped a coin exactly the same way every time I would be able to have one side come up most of the time.
Which is why you probably want a neutral third party flipping teh coin if it is a meaning full decision.
Disaffected
(6,408 posts)Last edited Wed Oct 11, 2023, 02:54 PM - Edit history (1)
It depends on the speed of rotation when flipped and the time the coin is in the air which determine whether it flips a full or half rotation before landing. That still doesn't explain though why the same side up seems to be slightly favoured.
Was any explanation offered?
muriel_volestrangler
(106,212 posts)ordinary coin, they introduce a small degree of precession or wobblea change in the direction of the axis of rotation
throughout the coins trajectory. According to the Diaconis model, precession causes the coin to spend more time in the
air with the initial side facing up. Consequently, the coin has a higher chance of landing on the same side as it started
(i.e., same-side bias). Based on a modest number of empirical observations (featuring coins with ribbons attached and
high-frame-rate video recordings) Diaconis [12] measured the off-axis rotations in typical human flips. Based on these
observations, the Diaconis model predicted that a coin flip should land on the same side as it started with a probability
of approximately 51%, just a fraction higher than chance
And there was significant variation by person flipping - from 0.487 'same side' to 0.601. It'd be interesting to check their methods, and if the most 'biased' had their thumb in a different position.
Disaffected
(6,408 posts)It would also be interesting to devise an automated coin flipping machine with random spin rates and duration. I expect then, the results would be also pretty much random.
whopis01
(3,919 posts)If you had a machine that flipped it precisely the same way each time, I agree that distance would be the dominant factor. However these flips were done by people and a lot of different people, which should effectively randomize the distance travelled.
What they found was the bias is because when you flip a coin, you dont rotate it exactly around a single axis. It rotates mostly around one axis, but has a slight precession around another axis. That causes it to spend slightly more time with the original side facing up.
Iggo
(49,928 posts)Oh, wait
keithbvadu2
(40,915 posts)milestogo
(23,084 posts)Old Crank
(7,078 posts)There are two flips there. First for goal choice and second for who kicks first.
The mechanic for that will have the ref hide the coin before the flip. Or as I used to do have it called in the air..
underpants
(196,501 posts)There have been more than a couple instances in which Ref thought a player called heads but didnt. They call it. Then it gets flipped. Yeah, they messed up flipping a coin.
Disaffected
(6,408 posts)Cuthbert Allgood
(5,339 posts)Lifelong Vikings fan, and I think about this clip a lot.
https://www.facebook.com/watch/?v=474710893809465
hunter
(40,691 posts)They can do much better than 51%.
That's all I'm going to say.