There are many times that people test positive for pregnancy tests but are not pregnant. Basic Bayes theorem. The odds are very poor that this persons thesis

There are many times that people test positive for pregnancy tests but are not pregnant. Basic Bayes theorem. The odds are very poor that this persons thesis is correct in the first place, and the odds are not improved based on: unsubstantiated warming mechanism in his model, lack of experimental data, almost complete lack of consensus support, previous bad results, extremely well supported competing model... I mean, what set of heuristics would you go by to give this guy the time of day? I can point you to a couple of poorly written books by hobbyist mathematicians with purported proofs of Riemann's hypothesis and Goldbach's conjecture. If you want to wade through the insanity you're than welcome to spend weeks of your life coming to the conclusion that they are wrong.