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 [1] https://en.wikipedia.org/wiki/Priming_%28psychology%29