Judea Pearl Quote

Traditional statistics is strong in devising ways of describing data and inferring distributional parameters from sample. Causal inference requires two additional ingredients: a science-friendly language for articulating causal knowledge, and a mathematical machinery for processing that knowledge, combining it with data and drawing new causal conclusions about a phenomenon.

Pearl, Judea. "Causal inference in statistics: An overview." Statistics Surveys 3 (2009): 96-146.

Traditional statistics is strong in devising ways of describing data and inferring distributional parameters from sample. Causal inference requires...

Traditional statistics is strong in devising ways of describing data and inferring distributional parameters from sample. Causal inference requires...

Traditional statistics is strong in devising ways of describing data and inferring distributional parameters from sample. Causal inference requires...

Traditional statistics is strong in devising ways of describing data and inferring distributional parameters from sample. Causal inference requires...