I don't entirely disagree, but haven't there also been cases of experimental results being invalidated due to subtle mechanical, electrical, chemical, etc complications with the test equipment, when none of the people involved in the experiment were experts in those fields?

I think that, while we could use a bit more training in software engineering best-practices in the science, the thesis is still that science is hard and we need real replication of everything before reaching important conclusions, and over-focusing on one specific type of errors isn't all that helpful.