Concept: procedural caution. Just because you want to get all the groceries into your house fast, does not mean the correct thing to do is to carry all the bags from your truck in one trip. This can make it a lot more likely you break the eggs for a minimal time gain.
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Doing something as fast as possible or as “efficiently” (eg in the fewest externally observable discrete steps) as possible is usually the wrong approach.
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I’d be shocked if there wasn’t already a word or phrase for this but idk what it is. Tortoise vs Hare doesn’t really describe it
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Replying to @drethelin
More generally, I wrote a blog post back in the day about how people push to optimize on one criterion (e.g. "speed" or "minimizing energy use"), but there are always 100 metrics that need to be balanced at some ratio / with certain coefficients against a global utility score
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Replying to @MorlockP @drethelin
the really fun thing is that the utility function U=f(x,y,z,etc) is an illusion so optimizing is always guesswork followed by post-hoc rationalization
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100% agreed about "guesswork" part disagree about the post-hoc rationalization I know that I can't measure x, y, z within an order of magnitude, do the best I can, and then move on "satisficing", one meta level up
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