Construct · 2 fields · 3 citations
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The gambler’s fallacy is the mistaken belief that in a sequence of independent chance events a run of one outcome makes the opposite outcome ‘due’, as if the roulette wheel or coin had a memory and randomness self-corrected over a short run. Tversky and Kahneman’s 1971 Belief in the law of small numbers traced it to the intuition that even small samples should mirror the parent population, and Clotfelter and Cook documented it directly in lottery players who shun recently drawn numbers. The referent is a specific misperception of independence in random sequences, measured by how choices or bets shift after streaks.[1][2]
The identical bias surfaces far from any casino: when professionals decide a run of cases, they tend to break a streak, as if correcting an imagined imbalance in what should be independent judgments. Chen, Moskowitz, and Shue’s 2016 study found asylum judges, loan officers, and baseball umpires all less likely to repeat a decision right after making the same call on the previous case, the signature of the gambler’s fallacy in consequential settings. It is the same construct as the roulette player’s error, realized in expert decision-making and measured by autocorrelation in sequential rulings.[3]
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