Why a model that is right once still drifts wrong

Conceptual illustration of the mechanism, arbitrary units. A one-time measurement error rides along without growing. A systematic representation bias re-enters the loop at every step and accumulates until it breaches tolerance. A physics-grounded model's only per-step error is machine rounding, around one part in ten thousand trillion, indistinguishable from zero at this scale.