MENTAL MODEL · M8535

Causal Reasoning

StructureHigh supportLogic

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Updated 2026-08-15

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INTRODUCTION

English translation pending.

CORE DEFINITION

Causal reasoning is the capacity of an agent to understand what produces what, resting on mechanism and intervention rather than on association alone. It includes imagining counterfactuals, recognizing mediators and confounders, and separating correlation from causation. It is the move from knowing that something happens to knowing why it happens, and to predicting what would follow if some factor were changed.

SCAFFOLDING EFFECT

psychology

Reduce cognitive load

- Ask for the mechanism: refuse to accept a bare correlation as an explanation - Model the structure: draw the causal graph that links the variables together - Pre-run the intervention: ask what happens to Y if X is actually changed

anchor

Anchor fast decisions

Correlation is symmetric and can be produced by common causes or by reverse links, so it cannot settle direction. Causal reasoning adds an asymmetric constraint: intervening on a cause changes its effects, while intervening on an effect does not. Counterfactual comparison then isolates the contribution of the factor in question.

MINIMUM ACTION

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Practice this model in one real situation:

Ask for the mechanism before accepting any association you are shown 2. Build an explicit causal structure or graph among the variables 3. Test each hypothesis with intervention or counterfactual reasoning 4. Separate correlation, mediation, and confounding from one another 5. Rehearse the consequence of changing X before you decide

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/Causal_inferenceZH · Explicit
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