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?
Technically, if the strike happened early enough in the morning, the answer is "today".
From Steven Pinker's latest book:
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