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The old adage applies here: absence of evidence is not evidence of absence.



However, evidence of absence is unlikely to be found as the vast majority of researchers tend not to bother publishing papers with negative results. So if an idea seems like it should have been researched already, but no research papers are to be found, it may very well be because the evidence of absence simply hasn't been shared.


I wonder how many papers give a negative result because p was found to be .049 or so. I'm recalling that thread here a while back debating whether the statistical critical value is too high.


.049 is a positive result with a threshold of .05 - lower numbers mean smaller chance of no relationship.


However, it is also the best predictor of "absence" the scientific method has to offer.


There are absences and then there are absences :D

Absence of evidence because you haven't tried much/ there's no data yet is not the meaningful kind.




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