Can you help me understand your argument. It seems to hinge on the idea the existence of a counter-example proves it wrong? I could see how this would work for a logical argument or a proof, but I'm finding it difficult to see how it fits into proving ultimately a statistical finding incorrect. I generally see statistics as being able to tease apart situations where there are counter-examples and we're looking at things like proportions between categories and such.