2 ms·
I can't read the article due to the the paywall, but any halfway decent study should be attempting to control for these things. Propensity score matching, or si
by bart_spoon 7y ago
I can't read the article due to the the paywall, but any halfway decent study should be attempting to control for these things. Propensity score matching, or simply including these factors in a regression model should help remove some of the effects. Obviously, there is potentially an unlimited number of possible cofounders, and therefore the assumption that they've all been accounted for should always be met with skepticism, and is why the mantra "correlation is not causation" is so often repeated.
If a modern research paper cited by the Economist has failed to even account for some of the potential confounding here, then I have great concerns for the future of science.
- mondoshawan 7y agoThere are many thousands of studies, just like this one, that imply correlation, but not causation and fail to properly account for confounding factors. Occam's razor implies this is more likely to be yet another study that fails to account for X of these factors. This doesn't mean the future of science is in jeopardy. It just means more study is required and jumping to alter policy or make decisions based upon these studies, well, requires further study! :P