A State-Dependent Framework for Aging Interventions: Order, Stability, and Failure Modes in Biological Systems

Aging interventions often yield inconsistent and non-reproducible outcomes across individuals. This paper proposes a state-dependent framework in which intervention efficacy is determined not only by the intervention itself, but by the system state and the sequence in which interventions are applied. We identify five major failure modes arising from incorrect intervention order: masked improvement, unstable clearance, unsafe recalibration, rebound dynamics, and over-intervention. These patterns suggest that many observed failures in aging interventions may be attributed to misaligned system conditions rather than intrinsic inefficacy. Based on this analysis, we propose a five-stage intervention framework: stabilization, clearance, capacity building, recalibration, and stability validation. This sequence provides a systems-level perspective for understanding intervention outcomes and designing more reliable therapeutic strategies. This framework does not rely on specific molecular pathways but instead emphasizes structural system properties, offering a unifying lens for interpreting diverse experimental and clinical results in aging research.