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The Decision Weaver
Part II: Seeing What Others Miss
TL;DR
The novice asks, “What should I do?” The expert first asks, “What is really happening here?”
Experts do not simply know more than everyone else.
They see differently.
A firefighter notices that a familiar pattern is subtly wrong. An investor recognizes that apparently strong numbers are telling the wrong story. A surgeon detects a weak signal before it becomes an obvious crisis.
What looks like intuition is often the result of years spent constructing, testing, breaking, and rebuilding mental models.
Gary Klein’s Data-Frame Theory offers a powerful explanation: we do not encounter neutral facts and then form interpretations. We approach reality through frames, and those frames determine which facts become visible, meaningful, or surprising.
The danger is frame fixation — the moment our explanation becomes more important than the reality it was meant to explain.
This essay explores how experts avoid that trap, why intelligence can sometimes make it worse, and how artificial intelligence might become more valuable as a partner in reframing than as a machine for producing answers.
![Magnetic-core memory — The main computer memory of the mid-1950s-70s, which was replaced by DRAM. (image: “Core Memory Module” by Konstantin Lanzet [CC BY-SA 3.0] via Wikimedia, edited by Edson de la O)](https://webproxy.poorya-velaei-d67.workers.dev/https://miro.medium.com/v2/resize:fit:1358/format:webp/1*IQ-Z8YicbhICNQjhRoAaAA.png)
