I haven't seen much response to it. There's a reply in Analysis by Baumann who takes a cheap out by saying simply that one cannot provide the probability in advance, that it's 'extremely implausible'.
I have an unfinished essay where I argue that as presented the problem is asking for a uniform distribution over an infinity, so you cannot give the probability in advance, but I haven't yet come up with a convincing argument why you would want your probability to scale down in proportion as the mugger's offer scales up.
That is: it's easy to show that scaling disproportionately leads to another mugging. If you scale superlinearly, then the mugging can be broken up into an ensemble of offers that add to a mugging. If you scale sublinearly, you will refuse sensible offers that are broken up.
But I haven't come up with any deeper justification for linearly scaling other than 'this apparently arbitrary numeric procedure avoids 3 problems'. I've sort of given up on it, as you can see from the parlous state of my essay.
Thanks. Here's my fresh and uneducated opinion.
I see three kinds of answers to the mugging:
Here's my analysis in the sense of 4., tell me if I'm making a common mistake. We are worried that P(agent can do H amount of harm | agent threatens to do H amount of harm) times H can be arbitrarily large. As Tarleton pointed out i...
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