The reason is that websites are a dynamic environment. All things equal, better controlled experiments are great. However, visitor behavior, especially when from dynamic sources (google serps change weekly), changes all the time.
And that's why I prefer MAB over A/B tests -- A/B tests don't adapt to a dynamic system, so we often wish away the changes in the system to use it. Does anyone go back and re-test their biggest wins?