Gambler’s fallacy is when people think that past events affect future chances, even though they don’t.
Imagine you’re flipping a coin. It lands on heads three times in a row. You might think, “It has to be tails next!” But the coin doesn’t remember what happened before, it still has a 50-50 chance of landing on either side.
Why it happens
A real-life example
Think of a dice game at a fair. You roll the dice and get a 6, great! You think you’ll get another 6 because that one was so lucky. But actually, the dice don’t care about luck, each number still has an equal chance every time.
Gambler’s fallacy is like pretending the world is trying to balance things out when it really isn’t.
Examples
- Thinking that after flipping heads three times, tails is more likely next.
- Expecting the dice to roll a six now since five came up last time.
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See also
- How to use math to win at Monopoly?
- Who is Empirical Bayesian Models?
- How Did Ancient Philosophers Influence Modern Politics?
- How Did Ancient Philosophers Define Justice?
- How Did Ancient Philosophers Influence Modern Thought?