Toward A Predictive Theory Of Depression

[Epistemic status: total wild speculation] Applies the predictive-processing framework to depression, proposing depression = globally low confidence in neural predictions. This elegantly unifies non-cognitive symptoms: perceptually the world looks literally gray/washed-out (underconfident sense organs), motorically psychomotor retardation mirrors Parkinsonian bradyphrenia (dopamine = motor-prediction confidence), and motivationally low-confidence predictions read as low drive. Extends to a theory of emotion as a global confidence filter (happiness/mania = crank up confidence after success; sadness = lower it after failure), with the speculative flourish that happiness might be the derivative of confidence. Self-aware about being 'three layers of crackpot.'

Quality 71 · Strong. 71 — high Strong. A genuinely generative, unifying speculative-neuroscience piece (one of Scott's notable predictive-processing posts) whose low-confidence account of depression's perceptual/motor/motivational symptoms is a real insight. Held below Excellent because it's explicitly wild speculation with acknowledged holes (e.g. depressives' certainty of failure).

Claude’s paradigm shift 57 · Moderate. 57 — Notable. The depression-as-low-neural-confidence and emotion-as-confidence-filter framings are fresh, generative speculative contributions building on the PP/Surfing-Uncertainty program.

Real-world impact 2 · Minor. 2 — minor/within-blog. Niche predictive-processing speculation; less adopted than the core PP posts, no material reach.