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Hypothesis testing is a strange mode for science. You have 3 options: (1) choose as the null something you don't believe; (2) believe that only 1 in 20 of your experiments will produce a "significant" [sic] result; or (3) p-hack. In practice, people choose some combination of 1&3
It's strange, because a really "surprising" paper builds up the null as something people genuinely believe. But - presumably because of some special inside insight - the people involved realized it might be wrong, and so do an experiment to test & reject it.
Basically the academically rigorous version of “overrated, underrated, or properly rated”
I honestly don't understand your issue. Whether people believe the null hypothesis isn't relevant. The question is whether you can reasonably reject it. There's no problem with (1). And often it's equally surprising when you *can't* reject the null hypothesis.
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