Abstract This paper introduces and formally develops the Universal Law of Balance, a mathematical framework positing that all complex systems — physical, biological, social, and ethical — evolve dynamically toward minimizing measurable deviations from their optimal or ideal states. Drawing on systems theory, thermodynamics, homeostasis theory, complexity science, and moral philosophy, we present a unified set of equations governing systemic imbalance, feedback dynamics, and failure risk. The central claim is that an imbalance metric B (t), defined as the weighted sum of component deviations from ideal states, governs the stability of any system, while a risk function R (t) = B (t) / Bcrit determines proximity to systemic collapse. We demonstrate the applicability of this framework across four major domains: physics, biology, society, and ethics. The paper argues that recognizing this universal law provides both explanatory and predictive power, and offers a new perspective on how stability, harm, and recovery can be understood and managed across all scales of organization.
Angelito Enriquez Malicse (Thu,) studied this question.
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