Gambler's Fallacy

The gambler's fallacy is the incorrect belief that the likelihood of a random event can be affected by or predicted from other, independent events. The classic example is that a coin which has come up tails the previous 4 times it's flipped is more likely to come up heads on the next toss.

Students are encouraged to add examples of this type of fallacy.

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