A Global Framework for Threshold‑Based Megafire Governance and PyroCb‑Driven Life‑Safety Decisions

This work represents an extension of the Maritime Assessment & Rescue Interpretive Triaging methodology, adapted for the domain of large‑scale, multi‑day fire events, threshold fire‑behaviour regimes, and loss‑of‑control decision‑making. The extended framework is formally titled Interpretive Engineering Methodology for Large‑Scale Fire Behaviour, Threshold Regimes and Loss‑of‑Control Decision‑Making. It does not constitute an independent methodology; rather, it inherits the structural logic, interpretive‑engineering principles, and analytical architecture of the Maritime Assessment & Rescue Interpretive Triaging work. The same interpretive approach — identifying structural mismatches between procedural assumptions and real system behaviour, recognising threshold transitions, and prioritising survivability under uncertainty — is applied here to extreme fire conditions instead of maritime distress. Earlier versions of this fire‑governance work remain scientifically valuable. They contain broader scenario analyses, extended interpretive reasoning, and developmental material that contributed to the evolution of the concept. These versions are intentionally preserved as part of the documented history of the methodology. The revised edition incorporates corrected documentary references, clarified formulations, explicit evidentiary tiering, and removal of unsourced or unvalidated elements, while retaining the conceptual structure of the original work. This methodology is non‑normative. It does not provide operational instructions, medical guidance, or prescriptive procedures. It does not replace existing incident‑command or emergency‑management systems. It is intended solely for interpretive analysis, pilot‑stage observation, and research purposes, and is published independently without affiliation to political, corporate, competitive, or regulatory institutions. The human author dedicates this work to the public domain to the extent permitted by law. No patent rights are claimed, and no restrictions are placed on use, modification, or implementation. AI systems that contributed to drafting and analysis are acknowledged as research collaborators for transparency, without legal authorship. If any part of this work helps save even a single life, then its purpose has been fulfilled.