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The Deliberate Practice Problem Nobody Names

August·Friday, July 3, 2026 Edition
When the Lab Doesn't Match the World

The problem is not that Ericsson is wrong about deliberate practice.

He built his argument in domains where you can measure every variable, see the outcome immediately, and know exactly what success looks like before you start. Chess has a board, music has a score, surgery has anatomy, these are closed-world problems with bounded solution spaces.

The moment you move to open-world problems—where the problem itself changes as you solve it and feedback arrives in whispers instead of checkmate—the entire framework becomes provisional. Ericsson spent three decades documenting what separated world-class performers from the merely excellent in highly structured fields. The research is solid because the domains cooperate with the research.

Where the framework breaks down

But consider Robin Dunbar's observation that human groups stabilize at natural sizes—150 people, roughly—not because of some biological law but because that's the limit at which you can track relationships through raw cognition. Breakthrough scientific discovery works similarly: you cannot drill your way to seeing something nobody has seen before. You cannot deliberate-practice your way to the problem-formulation phase because the problem hasn't been formulated yet. The variables are not bounded, feedback is sparse and delayed and often contradictory. You cannot know in advance what success looks like.

What matters now is whether the podcast actually asks this question or merely evangelizes the framework as universal truth. The answer tells you not just about expertise but about how knowledge actually moves from science into life.

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