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Random Rant
May 6, 2026

Is the gambler fallacy real, or does luck balance out?

If I flip a fair coin 9 times and get heads EVERY time, whats the probability the 10th flip is tails?

My gut says "tails is due" because theres the law of averages right? After 9 heads in a row, tails has to come to balance things out.

But my stats teacher says its still 50%50\%50% because coin flips are independent.

But then... if you flip a coin 1,000,000 times and get 500,000 heads and 500,000 tails, but the first 100 flips were all heads, thats fine because the rest of the flips average out. So IS the next flip really 50/50?

I need someone to resolve this. Why is it a "fallacy" if the law of large numbers says things balance out? Theres a difference between "the next flip" and "the long run average" but I cant articulate it.

1 answers1.9k views

1 Answer

5
Emily Park
Emily Park
May 7, 2026
Accepted
Your friend is committing the classic gamblers fallacy. **The flaw in their reasoning:** "The probability of 11 heads in a row is $(0.5)^{11}$, which is extremely unlikely. So after 10 heads, the 11th being heads would be an extremely unlikely event." This is WRONG because the probability of 11 heads in a row IS indeed $(0.5)^{11}$, but we have ALREADY OBSERVED the first 10 heads. The conditional probability is: $$P(\text{11 heads} \mid \text{10 heads}) = \frac{P(\text{11 heads})}{P(\text{10 heads})} = \frac{(0.5)^{11}}{(0.5)^{10}} = 0.5$$ **Law of Large Numbers:** The LLN says that as $n \to \infty$, the proportion of heads approaches 50%. It does NOT say that deviations in one direction are "compensated" by deviations in the opposite direction. A run of 10 heads is not "balanced" by future tails — its balanced by the fact that 10 heads out of 10,000 flips is negligible. **Another way:** If you flip a coin 100 times and get 60 heads, the LLN doesnt predict 40 heads in the next 100 flips. It predicts 50 heads in the next 100, giving 110 heads out of 200 = 55%. The excess becomes proportionally smaller as $n$ increases.
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