Method Regime Theory and the Collapse-First Scientific Method: Rethinking Science Where Failure Matters Most

Method Regime Theory and the Collapse-First Scientific Method argues that “the scientific method” is not one-size-fits-all: domains differ in irreversibility, adaptivity, and institutional insulation, so they require different epistemic (method) regimes—i.e., different rules for what counts as valid evidence and safe inquiry. It introduces the Collapse-First Scientific Method (CFSM) as the appropriate regime when the margin for error is near zero: instead of optimizing average-case performance or iterating by trial-and-error, CFSM begins by mapping catastrophic failure modes and safe operating boundaries (“where does this break?”) using simulations, stress tests, adversarial scenarios, and boundary-finding analysis. Using finance (2008 model myopia), AI (Goodhart/benchmark gaming), and geoengineering (irreversible system risk) as illustrative cases, the paper shows how standard “precision/optimization” regimes systematically underweight tail risks and dissent. It also restricts scope: CFSM is selective, not universal, and must include built-in humility (periodic re-evaluation, avoidance of pessimism-as-dogma). Progress is reframed as boundary discovery—knowing where not to go can be the highest-value scientific output in high-stakes systems.