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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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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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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 point is that there will be pairs, (a, b), that have non-random flows in both directions, where people "naturally belong" in either a or b but often end up in the other one due to environment, and neither one is intrinsically more compelling.
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Example of the sort of thing you mean? Mac vs PC might be one. I went PC to Mac but have no strong sense of one being “later” evolutionarily. But then again, that’s more consumption choice than scene. It’s not like I party with Mac types and used to party with PC types.
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i was thinking of active fandoms (e.g. scifi vs comics vs anime), which are scenes with a lot of cross-pollination, but also people primarily concentrating their time and energy in one subscene
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