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Carl V Phillips, PhD's avatar

I appreciate your ongoing effort to critique individual papers, even though it seems kinda like trying to bail out the ocean.

I am a bit unclear on what flaw you are suggesting is novel. Confusing lack of statistical significance with a lack of signal in the estimates (or full-on with the estimate being null) is a constant problem in the epidemiology literature. Unlike some deceptions or disconnects from proper science, this is not particularly worse in the tobacco literature and its ilk than anywhere else in the literature. The good journals in the field prohibit the reporting of statistical significance testing or p-values, but there are only two or three of those.

Mis-describing an exposure group, is pretty much ubiquitous also. It is certainly worse in behavioral epidemiology topic areas just because the practitioners are generally less competent about that than those in other subject matter areas. In this case, it could be explained by them actually planning to study real switchers but finding out they did not have enough of them, so broadening the category to make it bigger, but less precise (or full-on meaningless, really). Or, since this is tobacco research, it could well have been that they always intended to pretend that continuing smokers were just vapers in their wording, to try to denigrate vaping. Either way, fairly common.

Saying "this is what we planned on studying" after coming up with something new to report after looking at the data is also a common junk science deception, pretty much across social sciences as far as I can tell, and certainly in epidemiology. Indeed, what was unusual here is that they did it in response to reviewers (apparently). That may be the most unusual feature of this case study -- a reviewer who actually causes a problem to be fixed. Not novel, of course, but rather rare.

HarmReduction101's avatar

Great catch Arielle! Thank you for spending so much of your time on this worthy endeavor of THR.

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