That's indeed, a very impressive list of covariates factored in here. Hmmm... figuring out a possible mistake would require quite a bit of creativity. Creativi

That's indeed, a very impressive list of covariates factored in here. Hmmm... figuring out a possible mistake would require quite a bit of creativity. Creativity that's beyond my abilities at least, lol. Note that having such a list hampers a lot of "creative" attempts to take down the study. For example, Tobacco Use is very clearly related to the Republican/Democrat divide, and is therefore an adequate stand-in for the effects of political views (in case political views have an effect on flu-vaccinations / Alzheimer's). So anything "correlated" to these other covariates (ex: Red vs Blue states vs Tobacco) is "already factored in". As such, having a very, very big list like this helps dramatically.