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jazmt comments on Beautiful Probability - Less Wrong
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I think in this case, we are assuming total and honest reporting of results (including publication); otherwise, we would be back to the story of filtered evidence. Therefore, the publication is not a result of the plans - it was going to happen in either case.
Thanks, I understood the mathematical point but was wondering if there is any practical significance since it seems in the real world that we cannot make such an assumption, and that in the real world we should trust the results of the two researchers differently (since the one researcher likely published no matter what, whereas the second probably only published the experiments which came out favorably (even if he didn't publish false information)). What is the practical import of this idea? In the real world with all of people's biases shouldn't we distinguish between the two researchers as a general heuristic for good research standards?
(If this is addressed in a different post on this site feel free to point me there since I have not read the majority of the site)