We study the interpretation of regressions with multiple treatments and flexible controls. Such are often used to analyze stratified randomized control trials intervention arms, estimate value-added (for, e.g., teachers) observational data, leverage quasi-random assignment decision-makers (e.g. bail judges). show that these generally fail convex averages heterogeneous treatment effects, even wh...
