Are you doing peer reviewed reproductible research, with both open source code and data and tyying to disprobe your hypothesis? </s> Even researchers don't agr

Are you doing peer reviewed reproductible research, with both open source code and data and tyying to disprobe your hypothesis? </s> Even researchers don't agree what are "acceptable" research findings [0]. I think that priming[1] would be an important factor to consider when doing "lot of" research. And, were someone going to dimiss it, they would need "extrordinary evidence" as the say goes. Here is a testimonial of one of these "ideas" supporter: "The first principle is that you must not fool yourself – and you are the easiest person to fool." -- Attrib. Richard Feynman (|p| < 0.05) The fact that "[you] can't see how it would influence [you] much" is one of the features of biases. Regards [0] https://en.wikipedia.org/wiki/P-value https://en.wikipedia.org/wiki/P-value [1] https://en.wikipedia.org/wiki/Priming_%28psychology%29 https://en.wikipedia.org/wiki/Priming_%28psychology%29