The Flippant Juror: Three Jurors and a Coin
A three-person jury must decide the guilt or innocence of a defendant. Two jurors are competent: each independently makes the correct decision with probability . The third juror is completely useless โ she decides by flipping a fair coin (probability of being correct).
The jury uses majority rule: the defendant is convicted if and only if at least 2 of the 3 jurors vote "guilty."
Compare the probability that the jury reaches the correct verdict under majority rule to the probability that a single competent juror reaches the correct decision. Which is larger?
The answer may surprise you.
Answer: The Flippant Juror: Three Jurors and a Coin
Key Idea / Intuition
Your first instinct might be: adding a random coin-flipper to the jury should hurt performance โ she's completely uninformative! But remarkably, the majority-of-three rule (with two competent jurors and one random one) gives exactly the same probability of a correct verdict as a single competent juror alone. The coin-flipper is perfectly harmless under majority rule. The reason: the flippant juror only changes the outcome when the two competent jurors already disagree โ and in that case, a fair coin is exactly as good as a third competent voter would be, in the sense that the overall probability works out to the same number.
Formal Proof / Solution
Setup. Let be the probability each competent juror is correct. Let jurors be (competent), (competent), (coin flipper, correct with probability ). All decisions are independent.
Single competent juror. The probability of a correct verdict is simply .
Jury majority rule. The jury is correct if at least 2 of the 3 are correct. Let's compute .
Condition on the two competent jurors:
| correct | correct | Probability | Jury correct iff... | |---|---|---|---| | Yes | Yes | | Always (2 already correct) | | Yes | No | | correct (prob ) | | No | Yes | | correct (prob ) | | No | No | | Never (at most 1 correct) |
So:
Conclusion. The jury of three (two competent, one coin-flipper) under majority rule has exactly the same probability of reaching the correct verdict as a single competent juror. The useless juror contributes nothing โ but she also takes nothing away.
Why this is beautiful. The key insight is that the flippant juror only gets a "casting vote" when the two competent jurors disagree, which happens with probability . In that tie-breaking role, her fair coin contributes , giving the term . And โ it telescopes perfectly. The useless juror is perfectly neutral, not harmful.
This also shows: replacing a competent juror with a coin-flipper doesn't hurt majority rule! The "loss" from downgrading one juror is exactly compensated by the majority structure.
Source: Fifty Challenging Problems in Probability with Solutions, Frederick Mosteller, Problem 10