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Bookmark or Share- Gambler's fallacy - WikipediaThe gambler's fallacy, also known as the Monte Carlo fallacy or the fallacy of the maturity of chances, is the belief that, if an event (whose occurrences are independent and identically distributed) has occurred less frequently than expected
- Gambler's Fallacy: Overview and Examples - InvestopediaThe gambler's fallacy, also known as the Monte Carlo fallacy, occurs when an individual erroneously believes that a certain random event is less likely or more likely to happen based on the...
- 10 Gambler’s Fallacy Examples - Helpful ProfessorThe Gambler’s Fallacy describes an error in reasoning where the outcome of a random event is thought to be more (or less) likely than it really is. This misjudgment is based on the outcomes of previous, irrelevant events. It’s called the gambler’s fallacy because often gamblers will make this mistake:
- What Is the Gambler's Fallacy? - ThoughtCoA fallacy in which an inference is drawn on the assumption that a series of chance events will determine the outcome of a subsequent event. Also called the Monte Carlo fallacy, the negative recency effect, or the fallacy of the maturity of chances.
- Gambler’s Fallacy - Practical PsychologyWhat Is The Gambler’s Fallacy? The gambler's fallacy is a bias in which we let past events influence our decisions and predictions about what will happen next. But this bias is based on fallacy or a mistaken belief. Each action is independent of the actions before it.
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