Ryan Collison

Your brain uses identical neural hardware to process ancient myths and internet memes. The archetypes, the surprise, the social bonding signals—it's all the same mechanism, just running on a faster distribution network.

Myths encode hard-won knowledge about how to live, what to fear, and how to act when stakes are highest. Refined across 200,000 years of oral transmission — cultural evolution selecting for patterns that help people navigate reality. That's not superstition. That's engineering.

Self-help culture, conspiracy theories, wellness obsession, political tribalism — these aren't separate pathologies. They're different people trying to rebuild meaning infrastructure after the old myths stopped compressing. The hunger is ancient; the solutions are improvised.

Apply network analysis to the Iliad or the Mahabharata and something strange emerges: mythological social graphs match those of real human societies. Computational mythology is finding unexpected structure in ancient narratives.

Vladimir Propp did something no literary critic had tried: he treated fairy tales as data. After analyzing a hundred Russian stories, he found they all share the same 31 narrative functions in the same order. Not similar — identical in structure. Narrative, it turns out, is a state machine.

Campbell wasn't saying every story is the same story. He was saying the deep structure of transformation follows a recognizable geometry — departure from the familiar, ordeal in the liminal, return with something integrated. That structure keeps appearing because it maps something real.