Technically, if the strike happened early enough in the morning, the answer is "today".
This problem is described by the geometric distribution with p = P(no lightning strike on a day), which is a special case of the negative binomial distribution with r = 1.
If he had said "What is the most likely day for another bolt to strike the house and it be the next strike" I think I would have got it.
Got it. I didn't stop to think it through (System 2 is lazy!), so this is more good luck than good management. Apparently my System 1 is trained to associate "exponential distribution" with "Poisson process" and to replace "most likely" with "mode". Of course, "exponential distribution" is not quite right; as the answer shows, given the phrasing of the problem statement the relevant distribution is geometric. If the title hadn't mentioned "Poisson process" I don't know what would have happened.
Is it true in general that maximum likelihood estimation is less intuitive than expected value estimation?
From Steven Pinker's latest book:
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