That requires reliable data. If the only data you have is hopelessly confounded, then you don't just shrug and accept it as "truthy" because it's dressed up like science and is published in a journal, and hey, that's the best you can do anyway.
Science is about the quality of the methodology you use, not the grandeur of the institution that surrounds it. If your data doesn't answer the question, then it doesn't answer the question.
(For whatever it's worth, I'm biased in favor of the hypothesis, but crap experiements are crap no matter what I believe.)