Deleting outliers is highly controversial. I do it too, professionally, but there are good arguments that it is introducing at least as much error as it removes. (Where this lies on balance depends on one's confidence in other stages of the workflow).

You are correct that this can be ameliorated statistically if we are only reporting the mean, but mostly only by increasing the sample size.

They're doing the best they can with the resources they have...