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Causal Inference

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. The process of determining whether a cause-and-effect relationship exists between variables, not just correlation.

Technical Definition

The process of determining whether a cause-and-effect relationship exists between variables, not just correlation.

How it works

Causal inference goes beyond identifying statistical associations to establish genuine causal links. It relies on specific statistical methods and assumptions, often drawing from econometrics or epidemiology, to address confounding factors. Understanding causality is critical for developing AI that can explain its decisions and for designing interventions in complex systems, moving beyond purely predictive models.