Across science, medicine, governance, and everyday life, modern systems exhibit a recurring pattern of failure: local optimization coincides with global fragility, precision erodes trust, and increased sophistication undermines long-horizon viability. These failures persist despite advances in data, modeling, and technical capacity, suggesting a shared structural cause rather than domain-specific error.
This paper articulates that cause as a second-order boundary condition — the Coherence Constraint. Drawing on convergent insights from General Relativity, complex adaptive systems, and information geometry, it argues that intelligibility, viability, and meaning depend on preserving coherence under transformation. Just as physical law must remain invariant across frames of reference, living, social, and epistemic systems fail when they privilege perspectives, eliminate recoverability, or optimize at the expense of long-term solvency.
The Coherence Constraint is not a new theory, ideology, or value system. It specifies a limit on admissible relations among models, metrics, institutions, and decisions. When violated, coherence debt accumulates, manifesting as burnout, chronic disease, institutional collapse, loss of legitimacy, and breakdown of shared meaning. The paper formalizes this constraint through a set of second-order postulates, develops a conceptual coherence field analogy, and explores implications for health, governance, learning, and ethics.
The central claim is modest but consequential: the universe is not obligated to be intelligible, but only systems that preserve coherence under transformation can endure.










