Viability as a Dynamic System Outcome: Regularities of Preservation, Loss, Recovery, and Continuation over Time

This article refines the scientific subject of Vitology following the formalization of viability metrology and its systematic comparison with fundamental scientific theories. It is argued that restricting Vitology to the question of system preservation is insufficient. A system may preserve its present state while gradually exhausting reserve; undergo a temporary reduction in viability followed by recovery; transition to a new viable state; adapt; degrade; cross a threshold of irreversibility; maintain current function while contracting the space of future viable continuations; or, conversely, temporarily reduce local efficiency while expanding future possibilities. The central object of the article is therefore the Dynamic Viability Outcome—the measurable change in viability state over a specified time interval relative to a predefined carrier, its critical functions, environment, organizational level, boundaries, and temporal horizon. Established sciences already investigate individual components of this problem. Ecological resilience research examines persistence, recovery, reorganization, adaptability, and transformation. Studies of critical transitions formalize regime shifts and recovery dynamics. Reliability theory investigates failure and failure-free operation. Survival analysis investigates time-to-event processes. Viability Theory studies admissible trajectories under constraints. These phenomena are therefore not presented as discoveries of Vitology. The candidate residual contribution of Vitology is the hypothesis that these heterogeneous processes may be compared through a common structural architecture: carrier → state → impact → change → ΔV → V trajectory → recovery / adaptation / degradation → subsequent V → change in the space of further viable continuations. The article introduces the concepts of Dynamic Viability Outcome, Viability Transition, classes of dynamic outcomes, and the Dynamic Outcome Profile. Eight G42 hypotheses are formulated, including a stringent hypothesis of added predictive value of dynamic V metrology relative to the strongest domain-specific models. The article does not claim that a universal law of viability has already been established. Instead, it converts the question of regularities of V from a philosophical and conceptual problem into a set of operationalizable, falsifiable, and empirically testable relationships. Keywords Vitology, viability, dynamic outcome, viability regularities, system state, viability trajectory, preservation, loss of viability, recovery, regeneration, adaptation, development, degradation, critical transition, reserve, viable continuation, Synchroauthenticity, Aw–Con–CON, Norm of Harmony, Reality of the Field of Life, cross-domain metrology.