> but your work will have a low impact factor- this is largely measured in how many of your fellow researchers cite your work, and its crucial to an academic researcher's career.
Nope! This is how we might like to to work, but cool associations will get written up forever, long after they have been refuted by randomized experiments. (Heck, papers can outright be retracted and still get cites.)
Hahaha - did I say refuted by randomized experiments? Like that ever happens to more than a tiny fraction of epidemiology correlations... No, one's career is quite safe. No one ever lost tenure because the correlations they built their career on turned out to be lame.
> If your colleagues can easily see that your statistical analysis is flawed, they won't waste their own time doing work that builds off of yours.
No, the point here is that your work can be immaculate and still never reflect causality. How are you going to collect data on every lurking variable? You can't, of course.
Nope! This is how we might like to to work, but cool associations will get written up forever, long after they have been refuted by randomized experiments. (Heck, papers can outright be retracted and still get cites.)
Hahaha - did I say refuted by randomized experiments? Like that ever happens to more than a tiny fraction of epidemiology correlations... No, one's career is quite safe. No one ever lost tenure because the correlations they built their career on turned out to be lame.
> If your colleagues can easily see that your statistical analysis is flawed, they won't waste their own time doing work that builds off of yours.
No, the point here is that your work can be immaculate and still never reflect causality. How are you going to collect data on every lurking variable? You can't, of course.