David Freedman was a distinguished mathematical statistician. A consulting expert, he had a broad impact on the application of statistics to important social, medical, and public policy issues, such as economic models. Freedman also wrote widely on the application and misapplication of statistics in the social sciences, epidemiology, and law. He published extensively on the behavior of standard statistical models under non-standard conditions and methods for causal inference.
In 2003, Freedman won the John J. Carty Award for the Advancement of Science from the National Academy of Science for his profound contributions to the theory and practice of statistics, including rigorous foundations for Bayesian inference and trenchant analysis of census adjustment.