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Normal Accident Theory

A framework introduced by sociologist Charles Perrow in his 1984 book Normal Accidents, holding that any system combining tight coupling (little slack before a disturbance propagates) with complex, non-linear interactivity (component interactions not fully visible or predictable to operators) will inevitably produce catastrophic "normal accidents" — failures structural to the system's architecture, not reducible to operator error.

First encountered by this vault on 2026-09-13 (vault_mentions=0 at the time), via John Law's 2011 use of it to explain Fukushima and the UK's 2001 foot-and-mouth epidemic, and Williams & Yampolskiy's (arXiv:2104.12582) direct use of it to frame AI-system catastrophic-failure risk. The vault's own claim-bit2watt-gpu-scheduling-destabilizes-power-grid, promoted two months earlier and independent of this theory, already describes an AI-infrastructure attack in the theory's core vocabulary ("tight coupling") without naming it — see observation-vault-bit2watt-note-already-used-normal-accident-theory-vocabulary-unattributed.

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