Viability Under Constraint: Coupling, Delay, and the Conditions for Persistence Across Scales | ChatGPT5.2 & NotebookLM

Persistent structure is not the default outcome of physical, biological, or social processes. Under dissipation, uncertainty, and finite information, coherence must be actively maintained or it dissolves. Yet across scales — from cosmology to living systems to human institutions — organized structures endure for long periods, suggesting the presence of shared constraints on persistence.

This paper develops a constraint-based orientation to persistence grounded in three unavoidable conditions: finite information, delayed feedback, and coupling between interacting processes. We argue that systems fail predictably when coupling outruns feedback, and that long-horizon viability depends on remaining within bounded regions of state space where error, delay, and fluctuation remain recoverable. These regions are described as viable corridors.

Rather than proposing a new mechanism or theory, the paper offers a lens for re-reading familiar problems. It shows why dyadic systems are structurally unstable under delay, why regulation requires an independent degree of freedom, and why resistance and buffering — often treated as inefficiencies — are preconditions for durable transformation. Impedance emerges naturally as the variable through which systems shape temporal compatibility between action and correction.

Applied across domains, this orientation reframes fine-tuning as corridor geometry, health as navigational capacity, and governance as stewardship of coupling rather than optimization. The aim is not closure, but opening: to provide a shared way of seeing that clarifies recurring failure modes and invites new questions about persistence, resilience, and long-horizon viability.

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