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So my objection to the maximize-EV(wealth) heuristic is that over time it will tend inevitably to box me into an outcome where almost all of my utility is enjoyed by a version of me that lives in a vanishingly unlikely world—regardless of what my utility function on wealth is
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Your heuristic is that you prefer strategy A to strategy B if A has higher EV(utility). My heuristic is that I always prefer strategy B to strategy A if B leads to higher utility with probability (1 - epsilon)—regardless of how high my utility would be in the epsilon case.
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Replying to and
(I agree with ) There are 2 different threads here. A) how risk seeking should you be? B) should there exist some function F that you're trying to maximize the EV of? on (A) I disagree with you but don't think it's obvious, and isn't the primary thing here.
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(In particular I think the correct decision *is* to bite the bullet on twitter.com/danrobinson/st, but think that's not at all necessary for my argument here)
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Replying to @danrobinson @SBF_Alameda and @elliot_olds
So my objection to the maximize-EV(wealth) heuristic is that over time it will tend inevitably to box me into an outcome where almost all of my utility is enjoyed by a version of me that lives in a vanishingly unlikely world—regardless of what my utility function on wealth is
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This creates a linear relationship between o_1, o_2, and o_3. Now take some other option, o_4. You have two options: i) 100% o_3 ii) p_3 chance of o_2, (1-p_3) chance of o_4 for what p_3 are you indifferent between (i) and (ii)?
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Keep going for all options. If you call D(n) = D(o_n, o_{n+1}) the difference in your preference for o_n and o_{n+1}, this will then give you the size of all D(n) relative to each other; in other words it gives a constant k_n for each n such that D(n) = k_n * (D(1))
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