|
|
|
|
|
by necovek
2209 days ago
|
|
I've never seen a half-decent study in social sciences that draws rigorous conclusions: what I have seen is those studies noticing a correlation and then mainstream media picking it up as de facto conclusions (to put out a simplest example we've all seen: "people who have more sex are happier", directly implying that having sex leads to happiness, whereas studies noticed a correlation between people who claim to be happy and sex frequency). But you are right about what happens next: you top it off with academically uneducated (or simply unaware of scientific rigour) politicians like Trump (he's just an obvious example, far from being the only one) making calls on different social topics. |
|
Perhaps you should look harder. The dominant approach in economics for 20 years has been to reject correlational studies and try very hard to get at casuality, by:
* Running randomised controlled trials, often at scale (see eg Esther Duflo);
* Laboratory experiments, which have provided a body of robust paradigms and results;
* Seeking natural experiments;
* Statistical techniques like regression discontinuity and instrumental variables.
There's plenty of bad work in the social sciences. So is there elsewhere in the natural sciences (cough Lancet). There's plenty of good work too.