CONCEPT
Overconfidence in Expertise
The empirical pattern that domain knowledge increases confidence faster than it increases accuracy — producing experts who are more certain and less calibrated than informed non-specialists.
Overconfidence in expertise is not a personality flaw but a structural feature of how knowledge interacts with judgment. Experts possess more information, more analytical frameworks, and more experience than novices — and this abundance provides the raw material for constructing compelling narratives that feel explanatory. The narrative's internal coherence produces confidence. But coherence and accuracy are orthogonal: a story can be perfectly coherent and entirely wrong. Tetlock's research demonstrated that the experts who knew the most about a topic were not the most accurate predictors of outcomes in that topic — they were the most confident predictors, and the confidence was uncorrelated with accuracy. The phenomenon is amplified in the AI age, where experts now have access to systems that confirm their narratives with sophisticated-sounding elaborations.
In The You On AI Field Guide
The mechanism of expert overconfidence operates through narrative construction. A novice encountering a complex situation sees disconnected facts. An expert sees a pattern — a framework that organizes the facts into a causal story.