This publication introduces Regime Blindness, a cross‑disciplinary structural phenomenon that occurs when researchers interpret a system operating in a new regime using the conceptual tools, metrics, and assumptions of an old one. The work formalizes Regime Blindness as a predictable methodological failure mode that emerges at Topology Transition Boundaries (TTBs)—points where a system’s invariants, coherence rules, or causal pathways reorganize. The paper defines the mechanisms that produce Regime Blindness, including Observer‑Locked Metrics (OLMs), Regime‑Shifted Variables (RSVs), and the collapse of legacy causal models. It provides a minimal diagnostic framework for identifying regime‑mismatch errors and outlines practical corrective actions for realigning the observer frame with the system’s active regime. Examples from battery science, artificial intelligence, physics, biology, and economics demonstrate the universality of the phenomenon and highlight how contradictions, anomalies, and stalled progress often signal a regime transition rather than a system failure. The work is accompanied by a lightweight Regime Blindness Checklist designed to help researchers detect and resolve regime‑mismatch errors in their own domains. This publication establishes Regime Blindness as a foundational methodological concept within the TriadicFrameworks canon and provides a practical, regime‑aware grammar for scientific and computational inquiry.
Nawder Loswin Loswin (2026) studied this question.