Predictive error signals — the brain's way of flagging that something unexpected just happened — fire not only when you encounter a surprise, but also when you encounter a *near-miss*: something almost right but subtly off. Neuroscientist Wolfram Schultz mapped this in dopamine circuits decades ago, and the finding has a strange implication for how we think about learning. The brain treats 'almost' as more informative than 'correct.' It learns faster from near-misses than from success. The Yoga Vāsiṣṭha — a sprawling Sanskrit text on the nature of mind — makes a parallel observation in a different register: the moment of recognition (pratyabhijñā) is never triggered by pure familiarity, only by the gap between expectation and arrival. What this means practically is that the most useful thing you can do after any piece of thinking goes wrong is not to diagnose the whole argument, but to locate the exact moment the 'almost' became 'off.' That's where your brain's error-correction circuitry is already pointing. The near-miss is the lesson, not the failure.

What is the last near-miss you diagnosed as a full failure — and what would you learn if you treated it as a one-degree error instead?

Drawing from Neuroscience (reward prediction error research) — Wolfram Schultz (with reference to the Yoga Vāsiṣṭha)