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The gambler's fallacy is the mistaken belief that past events can influence future events that are entirely📉 independent of them in reality. For example, the gambler's fallacy might cause someone to believe that if a coin just📉 landed on heads twice in a row, then it's due to land on tails on the next toss.
The Gambler's Fallacy: On the Danger of Misunderstanding Simple ...
online210.psych.wisc.edu : Effectivology_GamblersFallacy_NoDate
These biases📉 are also known as fallacies. A good example of the gambler's fallacy occurs when a coin has flipped that lands📉 on heads repeatedly. After three times the coin lands on heads, one might be sure that it is due to📉 land on tails. In reality, the chance of the coin landing on heads or tails is still 50 percent.
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