Key conclusion: "observational studies of interventions with small to moderate effect sizes are prone to bias caused by selection and omitted variables."
Surprisingly few interventions are so good that you don't need fancy statistics to justify them. Really good treatments (e.g. antibiotics) are so effective as to be obvious to all.