Beginner's Corner

A welcoming entry point for readers new to causal inference. We explain core concepts such as randomized experiments, counterfactuals, instrumental variables, difference-in-differences, and causal graphs in plain language.

Directed Acyclic Graphs: Drawing Your Causal Assumptions

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Matching and Propensity Scores: Balancing Groups Without Randomisation

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Regression Discontinuity: When a Threshold Becomes an Experiment

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Instrumental Variables from Scratch: The LATE Theorem and Complier Analysis

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Difference-in-Differences from Scratch

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What Is a Counterfactual?

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Regression Discontinuity: When a Threshold Becomes an Experiment

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Instrumental Variables from Scratch: The LATE Theorem and Complier Analysis

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Beginner's Corner

A welcoming entry point for readers new to causal inference. We explain core concepts such as randomized experiments, counterfactuals, instrumental variables, difference-in-differences, and causal graphs in plain language.

The most fundamental concept in causal inference explained without equations and why it matters for every decision.

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The most repeated phrase in statistics finally gets the explanation it deserves, with real examples and practical guidance.

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Directed acyclic graphs made simple. How to draw a causal story and use it to figure out what to control for.

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