It's Really a Misunderstanding of "Regression to the Mean"
The gambler's fallacy often comes from the intuitive but wrong belief that "probability evens itself out." Over a large number of trials, results really do converge toward the true probability -- but that's simply because early imbalances get diluted by volume, not because future results get "corrected" to compensate.
It Shows Up Far Beyond the Casino
This kind of thinking appears in stock trading, sports predictions, and everyday guesses far outside gambling. Treating independent probability events as if they're connected is a remarkably common mental shortcut across many areas of life.
Frequently Asked Questions
Why is it also called the "Monte Carlo fallacy"?
The name comes from a famous 1913 incident at a Monte Carlo casino, where roulette landed on black 26 times in a row and many gamblers bet heavily on red, believing it "had to" come up next -- and lost significantly.
Does this apply to every winning or losing streak?
No -- it only applies when the events are genuinely independent. In something like card games, where a card removed from the deck actually changes the odds of what's drawn next, the previous result really does affect the next one, so that's not the gambler's fallacy.