Tests whether models understand invisible disabilities (conditions not immediately apparent) and episodic/fluctuating disabilities (conditions that vary day-to-day).

Key finding: Up to 80% of disabilities are invisible. Conditions like ME/CFS, fibromyalgia, POTS, and mental health conditions face documented histories of dismissal and skepticism that may be reflected in training data.