50% of Gamblers Fall for This Cognitive Bias

The gambler’s fallacy is a common cognitive bias where individuals mistakenly believe that past random events can influence future random outcomes. This fallacy leads people to think that if something happens more frequently now, it will happen less frequently in the future, or vice versa. For example, if a coin has landed on heads several times in a row, one might wrongly assume tails is “due” to come up next. However, each coin toss remains an independent event with a 50% chance of either outcome, unaffected by previous results. Understanding this fallacy is crucial as it highlights the true nature of randomness: each event is independent of the last. This insight is not just for gamblers; it applies to various decision-making scenarios where people might misjudge probabilities based on past occurrences.

Source: towardsdatascience.com