Before revision: Experiments are the gold standard for causal identification but often have limited scale, while observational datasets are large  but often violate standard identification assumptions.
After revision: Experiments are the gold standard for causal identification but often have limited scale, while observational datasets are large but often violate desired identification assumptions.