When a hospital system cannot distinguish between impaired motor function and intact cognition, it treats thinking patients as if they lack judgment—and locks them into restrictive protocols designed for actual cognitive impairment. This paper documents how that failure emerges not from individual clinician error, but from monolithic institutional architectures that collapse multidimensional patient state into single variables and prevent real-time correction. Using a lived case study, the work formalizes the representational problem underlying such misclassification and proposes the Modular Pod System: a distributed architecture that preserves cognitive and motor function as independent variables, empowers local clinicians to reassess rapidly, and integrates real-time AI support to flag dangerous misalignments. The core insight generalizes across any system that encodes some dimensions of reality while remaining blind to others—healthcare, criminal justice, education, psychiatry—showing how representational incompleteness drives deterministic cascades of error, and how multidimensional awareness and distributed authority interrupt them.
C. James Kruse (Tue,) studied this question.