Well, this wouldn't even be that bad, if sample size were actually large enough.
My point goes beyond that one: yes, variance is a problem. But _even_ _just_ getting good averages, for all their faults, requires a bigger n than many studies have. Especially observational studies.
Furthermore, there's the opportunity. With large amounts of data (from software, medical devices, sensors) we can actually tackle this problem at scale.