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This article was surprisingly well written. I think the point that most resonated with me was the framing of the search for better (happier) conditions in each of the "major areas" as an optimization problem.

The probability that one's current conditions are anywhere near optimal is low. Likewise, the probability that you can improve your overall conditions by making a change in one of the areas is high, since it's not a completely random change but one that you control.

A sort of real life analog of gradient descent (ascent) or hill climbing, if you will.




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