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Clustering illusion

From Simple English Wikipedia, the free encyclopedia

The clustering illusion refers to the cognitive bias where people tend to see patterns in random data or events, even when those patterns don't actually exist. Essentially, it's the tendency to assume that groups appear where in reality there are just random occurrences.[1]

This bias can affect humans in activities like gambling and interpreting everyday events.

Examples

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  1. Coin tosses: If you toss a coin multiple times and get a streak of heads (or tails), you might think that the next toss is more likely to be tails, even though the probability of heads or tails on each toss is always 50%. You might also think that the heads are "clustering" when it's actually just random.
  2. Sports or games: If a player has a series of good or bad performances in a row, you might start to think that they're "on a streak" or that there's some underlying reason, when it could just be a coincidence.
  3. Gambling: When someone plays slots, for example, they might think the machine is "due" for a win after several losses because they're seeing patterns where there are none.

Possible causes

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Humans are wired to seek patterns, as it's an evolutionary survival trait. In the past, spotting patterns in nature (like identifying a predator or prey) was essential for survival. However, in random events, our brains tend to "see" clusters where there are none, leading to incorrect conclusions.

References

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  1. Tversky, Amos; Kahneman, Daniel (August 1971). "Belief in the law of small numbers". Psychological Bulletin. 76 (2): 105–110. doi:10.1037/h0031322. ISSN 1939-1455.