Before the Alarm: Detecting Irreversible Coherence Deformation and Loss of Recoverability in the U.S. Power Grid (2015–2020) The U.S. power grid operates not as a stable system but as a metastable coherence field that is only temporarily non‑collapsed. Applying the pre‑specified SCFL (Standard Coherence Fidelity Layer) operator stack to the complete ORNL EAGLE‑I national outage dataset (2015–2020; 50,377 hours; 738 rupture events) reveals consistent upstream precursor signatures with a mean lead time of 8.9 hours (range 1–71 hours) before operator‑visible disturbances. SCFL’s novelty lies not in its component operators but in its direct measurement of recoverability and irreversible coherence deformation at interior and exterior seams. Rather than tracking operational states, stability margins, or anomaly conditions, SCFL quantifies when a system has crossed a geometric threshold from which reversion becomes structurally improbable—even while it still appears functionally normal. This establishes a Tier‑0 measurement class focused on coherence geometry rather than downstream performance metrics. This case study demonstrates the framework on the best‑instrumented critical‑infrastructure domain while illustrating its broader applicability. SCFL functions as a domain‑invariant, low‑integration Tier‑0 measurement layer capable of operating directly on arbitrary time‑series or relational datasets. It reveals systematic Tier‑0 blindness at two levels: • Interior seams — within‑domain coherence gaps (e.g., generation ↔ transmission ↔ distribution)• Exterior seams — cross‑domain interfaces (e.g., infrastructure ↔ finance, infrastructure ↔ healthcare, infrastructure ↔ government) These seams represent persistent structural blind spots where deformation accumulates undetected by conventional downstream metrics. The observed lead‑time variance is formally explained by the Seam‑Origin Lead‑Time Ordering Theorem, which links precursor windows to seam‑class geometry (Tight < Meshed < Distributed). By restoring upstream visibility into loss of recoverability, SCFL provides a new class of diagnostic capability for critical infrastructure and coupled societal systems. The full general‑purpose implementation package, operator definitions, robustness analyses, and reproduction materials are provided to enable independent validation and cross‑domain application.
Ronald Brogdon (Tue,) studied this question.