Define regime-change thresholds in advance for each domain…
Define regime-change thresholds in advance for each domain you monitor to distinguish between variance within the existing distribution and genuine structural shifts requiring model updates.
Why This Is a Principle
This principle derives from Schemas as Knowledge Organization Structures (schemas guide information processing), Brain as Hierarchical Prediction Machine (brain as prediction machine propagating only prediction errors), and Every system is perfectly designed to get the results… (systems get the results they're designed to get). Recent data may be noise or signal; the principle prescribes pre-defining what magnitude of prediction error (Brain as Hierarchical Prediction Machine) qualifies as schema-updating (Schemas as Knowledge Organization Structures) versus system-inherent (Every system is perfectly designed to get the results…). Defining thresholds in advance prevents recency bias from making every new data point feel like a regime change. This is actionable, general across domains, and mechanistically grounded.