The Miulus Law: Epistemic Fitness as a Universal Constraint on Complex Self-Referential Systems

This paper introduces the Miulus Law, a universal information-theoretic constraint describing how the stability of any self-referential system depends on its ability to preserve verifiable signal against informational noise. The concept of epistemic fitness—the effective ratio of validated information to total noise multiplied by feedback reach—unifies failure modes across biology, cognition, society, and artificial intelligence. Empirical analysis of global governance and crisis data (1996–2024) reveals a consistent threshold below which systemic hazard accelerates non-linearly and collapse becomes inevitable. The study proposes that epistemic entropy, not material scarcity, is the primary driver of complex-system collapse and that continual verification work is the necessary condition for sustainable intelligence.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-15
DOI
https://doi.org/10.5281/zenodo.17384548
Primary Topic
Space Science and Extraterrestrial Life
Type
article
Field-Weighted Citation Impact
0.00
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article

The Miulus Law: Epistemic Fitness as a Universal Constraint on Complex Self-Referential Systems

Zenodo (CERN European Organization for Nuclear Research)
Space Science and Extraterrestrial Life
article

The Miulus Law: Epistemic Fitness as a Universal Constraint on Complex Self-Referential Systems

article en

Abstract

This paper introduces the Miulus Law, a universal information-theoretic constraint describing how the stability of any self-referential system depends on its ability to preserve verifiable signal against informational noise. The concept of epistemic fitness—the effective ratio of validated information to total noise multiplied by feedback reach—unifies failure modes across biology, cognition, society, and artificial intelligence. Empirical analysis of global governance and crisis data (1996–2024) reveals a consistent threshold below which systemic hazard accelerates non-linearly and collapse becomes inevitable. The study proposes that epistemic entropy, not material scarcity, is the primary driver of complex-system collapse and that continual verification work is the necessary condition for sustainable intelligence.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 48%
Space Science and Extraterrestrial Life
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