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Coin flip: Difference between revisions

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(Created page with "{{Cquote|A coin flip -- the act of spinning a coin into the air with your thumb and then catching it in your hand -- is often considered the epitome of a chance event. It features as a ubiquitous example in textbooks on probability theory and statistics, and constituted a game of chance ('capita aut navia' -- 'heads of ships') already in Roman times. According to the standard model of coin flipping, the flip is a deterministic process. The perceived randomness originat...")
 
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{{Cquote|A coin flip -- the act of spinning a coin into the air with your thumb and then catching it in your hand -- is often considered the epitome of a chance event. It features as a ubiquitous example in textbooks on probability theory and statistics, and constituted a game of chance ('capita aut navia' -- 'heads of ships') already in Roman times.
 
According to the standard model of coin flipping, the flip is a deterministic process. The perceived randomness originates from small fluctuations in the initial conditions -- regarding starting position, configuration, upward force, and angular momentum -- combined with narrow boundaries on the outcome space. Therefore, the standard model predicts that when people flip a fair coin, the probability of it landing heads is 50%.
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Throughout history, several researchers have collected thousands of coin flips. In the 18th century, Count de Buffon collected 2,048 uninterrupted sequences of 'heads'. In the 19th century, Karl Pearson flipped a coin 24,000 times to obtain 12,012 tails. And in the 20th, John Kerrich flipped a coin 10,000 times for a total of 5,067 heads. However, these experiments do not allow a test of the Diaconis model, mostly because it was not recorded whether the coin landed on the same side that it started. A notable exception is a sequence of 40,000 coin flips collected by Janet Larwood and Priscilla Ku in 2009. Larwood always started the flips heads-up and Ku always tails-up. Unfortunately, the results (10,231/20,000 heads by Larwood and 10,014/20,000 tails by Ku) do not provide compelling evidence for or against the Diaconis hypothesis.
 
In order to provide a diagnostic empirical test of the same-side bias hypothesized by Diaconis, we collected a total of 350,757 coin flips. A group of 48 people tossed coins of 46 different currencies x denominations and obtained a total number of 350,757 coin flips. The data confirm the prediction from the Diaconis model :, the coins landed how they started more often than 50%. Specifically, the data feature 178,078 same-side landings from 350,757 tosses, Probability(same side) = 0.508, 95% confidence interval between 0.506 - 0.509.
 
The simplicity and perceived fairness of a coin flip, coupled with the widespread availability of coins, may explain why it is often used to make even high-stakes decisions. For example, in 1903 a coin flip was used to determine which of the Wright brothers would attempt the first flight; in 2003, a coin toss decided which off two companies would be awarded a public project in Toronto; in 2004 and 2013, a coin flip was used to break the tie in local political elections in the Philippines; in 1968, a coin flip determined the winner of the European Championship semi-final soccer match between Italy and the Soviet Union (an event which Italy went on to win); and in 1959, a coin flip decided who would get the last plane seat for the tour of rock star Buddy Holly (which crashed and left no survivors);
 
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.|||Frantisek Bartos, et al (October 6, 2023) [https://arxiv.org/abs/2310.04153 Fair Coins Tend to Land on The Same Side They Started : Evidence From 350,757 Flips] arXiv Mathematics History and Overview}}
 
== References ==
# Frantisek Bartos, et al (October 6, 2023) [https://arxiv.org/abs/2310.04153 Fair Coins Tend to Land on The Same Side They Started - Evidence From 350,757 Flips] arXiv Mathematics History and Overview
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