Earthquakes as a Geometric Phenomenon: The BECU–OLON EAR Framework This work presents the BECU–OLON EAR framework as a strictly retrospective, data-only structural study that interprets seismicity as a geometric phenomenon. The framework examines long-term organization, persistence, and geometric structure inferred exclusively from the analysis of historical and previously recorded earthquake data. The concept of Axis Memory is introduced to describe persistent geometric organization observed within a rotating, nonlinear lithospheric system. The study integrates descriptive analysis of short-term dynamics, multi-scale memory behavior, rotational effects, and statistical validation through null-model testing with explicit control of false positives. This work does not provide predictions, forecasts, alerts, locations, future dates, or event-specific determinations of any kind. The framework is not designed, validated, or intended for real-time monitoring, operational forecasting, hazard assessment, emergency management, or decision-support applications. All presented results are strictly descriptive and interpretative, derived exclusively from retrospective data analysis. Explicit mathematical formulations, operational equations, implementation-level procedures, and technical derivations are intentionally outside the scope of the present publication. This document is intended as a conceptual and structural overview only. Supplementary Technical Notes and methodological material may be made available, upon formal request, exclusively to qualified academic, scientific, or governmental institutions, subject to appropriate scientific, legal, and ethical review. Any operational, predictive, or decision-making use of this framework falls outside the validated scope of the present work and invalidates any resulting conclusions or interpretations. This publication applies to the broader body of intellectual work associated with BECU, BECU–OLON, and BECU–OLON EAR, including related research developments and derivative scientific extensions.
George Vardiampasis (Mon,) studied this question.