Here's a probability problem that stumps almost everyone: A person has two children. You are given that at least one is a boy born on a Tuesday. What is the probability that both children are boys? The answer is NOT 1/2 or 1/3. Let's break it down: 1/5
This is just bullshit. The probability in this case depends on why a person is giving me this specific information. If the «born on Tuesday» feature is selected in advance of knowing anything about the family, then the 13/27 is correct, but if the one giving the info has decided in advance to tell you the gender and the weekday of birth of a randomly selected out of two kids, then the correct answer is 1/2.
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This is reminiscent of the Monty Hall problem, and how the conditions have to be clearly specified. If the host intentionally opened a door that he knew would reveal a goat, that is different from him opening a random door that happened to reveal a goat.
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Yea, I’ve argued with my share of people who, slightly condescendingly, thought they understood the monty hall problem, and then underspecified it to me. Ends up with me trying to explain how you need a Bayesian model of the host to come up with your subjective probabilities for payoff in the unspecified problem.

Nov 2, 2025 · 9:12 PM UTC

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