The Izaguirre Retroactive Meta-Theory of Everything (IRMTOE): A Universal Framework for Post-Threshold Causality and Emergent System Behavior
Year: 2025
Type: article
Abstract: This paper presents the Izaguirre Retroactive Meta-Theory of Everything (IRMTOE). A cross-disciplinary framework designed to explain why events occur based on surpassing a defined threshold of influence or “persuasion.” The theory applies to physical systems, biological processes, social behavior, cognitive events, and emergent phenomena. Unlike traditional predictive models, the IRMTOE functions retroactively: once the threshold for a given outcome is known, the model can determine whether the conditions present are sufficient to cause it. The framework is governed by a generalized mathematical equation that incorporates persuasive force, resistance, environmental modulation, and threshold requirements. This paper outlines the theory, its equation, examples across disciplines, and its implications as a meta-scientific framework. The Unified Equation: E = 1 / (1 + e^(-k * (P - C)))Where:- P is Persuasion: the force, energy, or incentive applied to induce change- C is the Susceptibility/Convincibility: how open the target is to being convinced- k is the Sharpness of response: higher k means a sharper transition- E: is the likelihood of the action occurring (between 0 and 1)Respects thresholds: Event doesn’t happen unless P surpasses C.Predictive: You can determine how strongly or weakly something is “persuaded” to happen.Universality: Works in physics (activation energy), biology (neural firing), sociology (behavior change), and economics (decision-making).Interpretation:If P << C, then E ≈ 0 (not enough persuasion).If P = C, then E = 0.5 (critical tipping point).If P >> C, then E ≈ 1 (event is almost certain to occur).
Source: Figshare
Author: izaguirre, issac
Language: English
Topic: Complex Systems and Dynamics
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6902342877
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