We prove a physical no-go theorem: for any system exhibiting context-generating sensitivity, no configuration-invariant outcome-predicting mapping-- implementable as a physical or algorithmic prediction procedure--exists. We demonstrate computationally that such systems are physically instantiated and structurally stable, establishing that this impossibility is a physical constraint on realizable systems, not a meta-theoretical limitation. The theorem is demonstrated in an Aubry-Andre quasiperiodic system at criticality (lambda = 2), where 78 of 196 parameter-space points exhibit ratio-constrained outcomes under baseline configuration, 77 under global rotation of all evaluation regimes (preserving inter-regime relationships), and 104 under relative rotation of a single regime (altering inter-regime relationships). The 33% increase under relative rotation while global rotation preserves outcome count demonstrates that outcomes depend on inter-regime structure, not absolute orientation. A five-parameter robustness analysis confirms the phenomenon occupies a stable phase in parameter space, not a fine-tuned knife-edge. The dominant perturbation axis is the quasiperiodic frequency ratio (+155% sensitivity), while regime count saturates at R >= 6 (0% change) and confidence thresholds leave the core structure intact. The impossibility established here constrains what can be computed, what can be predicted, and what explanatory frameworks are physically admissible. Any framework presupposing configuration-invariant prediction is physically invalid for this class of systems. This invalidates any formulation of the measurement problem that presupposes the existence of a configuration-invariant mapping from a global description to definite outcomes.
David Barbour Freeman (Sat,) studied this question.