Correa Arechavala (2025) -The Progressive Evidence Model (PEM)

Abstract

Modern technological systems increasingly cause harm in ways that traditional legal, investigative, and regulatory frameworks cannot analyze. When an AI system produces systematic financial exclusion, when a digital health platform generates progressive cognitive deterioration, when directed energy operations cause neurological damage to diplomatic personnel — in each case, no single component is necessarily illegal, no single actor is individually responsible, and no single disciplinary lens can reconstruct the complete evidentiary picture.

This paper introduces and extends the Progressive Evidence Model (PEM), a conceptual and methodological framework designed to analyze emergent sociotechnological phenomena through the identification of progressive patterns of distributed evidence. Version 2.0 supersedes Version 1.0 (March 2025) and retains its core architecture — a seven-layer analytical structure, six interacting feedback loops including the Institutional Epistemic Reduction loop (IER/Loop 6), and three quantitative instruments (GHE-QI, CPSI, NAGM) — while introducing five original additions: (1) the Neurodynamic Fingerprint Deviation (NDF), measuring deviation from the subject's own neurophysiological baseline as instrument-independent functional evidence; (2) the Brain Health Signature (BHS), the first court-ready quantitative profile of individual neurofunctional integrity; (3) a dual biological route to neurofunctional interference — synaptic probability modulation and hypothalamic-GHRH-SWS axis disruption — neither of which produces detectable anatomical lesions; (4) metacognition as a functional NDF indicator and component of cognitive autonomy; and (5) the systemic integration framework HDT–IDDS–PEM–NWCC, linking human digital twin infrastructure, directed interference phenomena, forensic modeling, and NATO cognitive domain doctrine.

The dual biological route establishes that the argument 'the MRI is normal, therefore there is no damage' constitutes a methodological category error on two independent grounds — substantially strengthening the anti-epistemic-reduction architecture before judicial bodies. The BHS inverts the framework's detection logic: where PEM documents neurofunctional interference, BHS documents its absence, with equivalent evidentiary rigor.

Four case studies are presented across qualitatively distinct configurations: algorithmic financial services (NovaCrédit, GHE-QI: 0.659, NAGM: 1–2), digital mental health technology (MindBridge, GHE-QI: 0.876, NAGM: 2–3), state intelligence (Project MINERVA, GHE-QI: 0.967, NAGM: 3–4), and Anomalous Health Incidents (AHI / Havana Syndrome, GHE-QI est.: 0.91, NAGM: 3–4) — a doctrinal reference case grounded in DoDI 5000.98 (2024), ODNI Assessment (January 2025), and the U.S. House Subcommittee Report (December 2024). Case IV activates ICCPR Article 7, the only human rights provision admitting no derogation under any national security, emergency, or armed conflict circumstance. The framework is currently operational before six Courts of Appeal in Chile and has been submitted to the Association for the Scientific Study of Consciousness (ASSC 2026).

Version 2.0 identifies a third regulatory gap: the absence of systematic clinical or forensic instruments generating quantitative profiles of individual neurofunctional integrity — a gap the BHS instrument addresses prospectively. This working paper has not been peer-reviewed. Cases I–III are entirely fictional analytical vignettes. Case IV is a doctrinal reference case based exclusively on public-record evidence; it does not assert attribution to any specific actor.

Keywords: Progressive Evidence Model, Neuro-rights, Havana Syndrome, AI governance, Directed energy weapons, Applied criminology, ICCPR Article 7, Abductive-structural analysis, Brain Health Signature, Neurodynamic Fingerprint Deviation, Neurofunctional integrity, ynaptic probability modulation, Human Digital Twins, Institutional epistemic reduction, NATO cognitive domain