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Gamblers fallacy

Gamblers Fallacy

The Gambler's Fallacy, also known as the Monte Carlo fallacy, is a common cognitive bias that leads people to believe that if something happens more frequently than normal during a certain period, it will happen less frequently in the future (or vice versa). This belief stems from a misunderstanding of probability and the concept of independence of events. It’s particularly prevalent in games of chance, but also significantly impacts decision-making in financial markets, including crypto futures trading.

Understanding the Core Concept

At its heart, the gambler's fallacy assumes that past events influence future independent events. This is incorrect. Each event, such as a coin flip or a spin of a roulette wheel, is independent. This means the outcome of one event has absolutely *no* bearing on the outcome of the next.

Consider a fair coin. The probability of getting heads is 50% on *every* flip, regardless of whether the previous ten flips resulted in tails. The gambler's fallacy would lead someone to believe that after ten tails, heads is “due,” and therefore more likely to occur. This is demonstrably false.

Illustrative Examples

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