I've noticed this with startups, especially Airbnb. When they started YC, they were only about 4 tweaks from taking off like a rocket, but as far as they (or I) could tell, they were dead.
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This is really good. When you're trying to do something new and it's not working, you don't know whether that's because it's impossible, or you just got some minor detail wrong. http://johnsalvatier.org/blog/2017/reality-has-a-surprising-amount-of-detail …
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And hopefully you never figure it out, because you just might achieve the impossible.
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This idea is the essence of machine learning work. Bugs often don't cause crashes, they silently subtract 5% accuracy.
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Details are of critical importance to all aspects of life, doctors can bury there mistakes, bad architects can only recommend planting flora.
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When details become critical, they term stops to apply
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This is a good reason failure is overrated. It’s worth thinking about how to sequence a project such that you can detect when it fails. Fairly easy at the level of actual code, very hard at the level of product or business, and it’s always suboptimal through the lens of velocity
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Details matters vs bad timing ???
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Or if you're just making it all up.
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seek detail you would not normally notice about the world
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