MENTAL MODEL · M3831

Normal Science

CultureHigh supportPhilosophy

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Updated 2026-08-01

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INTRODUCTION

English translation pending.

CORE DEFINITION

Normal science is Thomas Kuhn's term, introduced in The Structure of Scientific Revolutions, for the cumulative work done within an established paradigm. Researchers accept the framework's assumptions and solve problems the framework defines as solvable, refining measurements and extending the theory's reach. Anomalies accumulate when puzzles resist solution, and if they pile up into a crisis a paradigm shift follows. The key qualifier is that normal science is not inferior to revolutionary science: it is the activity that generates the anomalies which make revolutions possible.

SCAFFOLDING EFFECT

psychology

Reduce cognitive load

- Position check: Decide whether your current work extends an accepted framework or challenges its premises. - Anomaly watch: Track results that will not resolve inside the paradigm instead of patching each one. - Ambition calibration: Do not label incremental optimization as breakthrough work, or the reverse.

anchor

Anchor fast decisions

A paradigm supplies shared problems, methods and standards, which lets a community coordinate without renegotiating fundamentals each time. That agreement concentrates effort, so most puzzles get solved and knowledge accumulates quickly. But the same commitment makes the framework resistant to evidence it cannot classify, so anomalies are first treated as puzzles to be solved. When enough resist, confidence erodes and the field becomes receptive to a rival framework, which is the transition Kuhn called a revolution.

MINIMUM ACTION

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Practice this model in one real situation:

Identify whether your field or team is in a puzzle-solving phase or in a crisis of accumulating anomalies. 2. In a normal phase, deepen the accepted framework rather than reopening first principles. 3. Log each result the framework cannot explain instead of forcing an explanation. 4. When anomalies cluster, escalate to questioning the framework rather than patching further. 5. State clearly whether your own work maintains or challenges the paradigm.

Check to track your progress (stored locally)

Learning progress0%

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Source support: Explicit

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en.wikipedia.orghttps://en.wikipedia.org/wiki/Normal_scienceZH · Explicit
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