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Ask HN: Life as optimization problem
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7 points
by ecmendenhall
5016 days ago
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I asked this question a while ago on both Quora and Ask MetaFilter, but many of the answers were hung up on the metaphors. ("Don't think of your life as a decision tree" was one popular response). I think HN readers are more likely to appreciate the structure. I'm not trying to write a system of equations and solve for happiness. But I do find the following formulations a useful way to approach a set of very big questions: -How can I engineer my life to maximize happiness, financial security, and independence?
-How can I reconstruct as much of my decision tree as possible before making big decisions?
-What choices did you make that locked you into a suboptimal outcome in these areas, and how could you have avoided them?
-In your experience, what small actions or decisions offer the greatest marginal returns on these categories?
-Of the decisions I face now (or soon), which will have the greatest impact on future branches of the tree (i.e. eliminate or open up future paths or options)?
I'd love to hear answers on all scales, from, e.g., "buy the best noise canceling headphones you can afford" to "ride a bike everywhere" to "don't have children." |
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I think part of your question is rooted in this false assumption and therefore not answarable. Life is chaotic and the biggest effects will come from rare, lucky, unforeseeable, "unkown unknown" type coincidences. These are positive/negative Black Swans in Taleb's terminology. Eg. a life-long-friend from a conference, your future wife in a party etc..
What you can do is maximize your surface to these positive Black Swans(eg. hoarding options, meet peoples) and minimize possible negative outcomes(leverage contracts, debts, anything that tides you down).
Reinterpreting your question these types of heuristics/practices are what worth doing, but they are usually not specific decisions.
Books listing similar heuristics are Reed's Suceeding, Munger's Almanach and of course Taleb's Fooled by Randomness and Black Swan. Wonderful books, hope it helps.