Conversation

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Scenes form a developmental partially ordered sequence. So a question like “where do you go if you leave tech role in Silicon Valley?” is well-posed. You’re unlikely to go get an MBA and join Wall Street for eg, but likely to go to LA and get into entertainment media.
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It’s a partial order so you can move to any scene that is not-upstream. Even reactionary moves are fundamentally ironic. Tech to trad is not the same as just being trad. So not-upstream.
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I’m currently very curious about “post-tech” scenes. I have an inventory but not a map: crypto, entertainment, trad, waldenponding, neoreaction, local politics, biotech. Each is post in a different way. Tech is a bottleneck scene. Everything is either pre-tech or post-tech.
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It is locally total order. Only 1 scene at a time is the bottleneck usually. Other scenes don’t induce total pre/post cuts.
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Replying to
i would agree with a graph of "likely exit nodes" from any given scene, but disagree that there is an ordering, temporal or otherwise.
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Well if there’s a net direction locally (A to be is more likely than B to A) for every pair with significant flow, you’ll get at least a local order. I suspect if you impose a minimum net flow threshold to filter random noise you’ll get a proper DAG.
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Replying to
doesn't the direction of significant flow depend on local cultural factors too though?
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also perhaps more relevantly there can be significant flow in both directions, even locally. e.g. a 70/30 split between a->b and b->a would ideally not remove b->a from the graph, it's still significant.
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Yeah, the overall graph of all flows, including both low absolute and net levels, probably has no structure, since almost any pair in any direction will have *some* flow due to pure randomness. The question is how to threshold to get to robust flow patterns.
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My these is basically that there is a historical direction to the grain of living scenes that’s independent of their youth/maturity. We have aging rock groupies and young trad knitters, so it looks confusing, but the exit patterns are a revealed preference sign of growth vectors