Decompose an observed correlation into effect plus selection

Attribute an eye-catching metric correlation between a genuine effect and self-selection before anyone builds a roadmap on it.

A ranked decomposition of an observed lift into causal and selection components with an experiment-or-proxy recommendation.

Template

product data scientist

causal-comparative-analysis

correlation-vs-causation

intermediate

metric-interpretation

product-analytics

selection-bias