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Lesson 2 · Causal Inference · Step 3 of 6

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7:17

Confounder control and drawing your assumptions

Ice cream sales and violent crime rise together, and no amount of staring at the data settles why, because a dataset carries no memory of what produced it. A causal diagram is where you write the story down before estimation starts. A fork is one variable causing two others, making them move together. A pipe is the effect passing through a middle variable. A collider is where two causes meet. Forks confound; colliders look like confounders and behave in the opposite way.

Also covered: causal diagrams · DAGs · forks, pipes and colliders · collider bias

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The Validity Toolkit · lesson 2 of 4