The reproducibility crisis across the social sciences (and sometimes even in biology and medicine and - hot take - machine learning) is evidence that many of these models are both wrong AND useless for prediction, as opposed to just being incomplete.
Back to my original point, it’s misleading to claim that social psychology is not a science and should be ignored.
That's very different from the other items listed previously.
Partially true.
> and economics
Yes.
So what?
What are you even talking about? STEM is science, technology, engineering and mathematics. Yes, these are hard sciences.
Medicine and economics are soft sciences and yes, they suffer a lot more from a lack of reproducibility than STEM studies.
Like... Samurai’s and self-immolating monks are human.
Post-enlightenment, post-Kant, social sciences treat man as an individual unit “homo-economicus” — nothing could be further from the truth.
The way the phenomenon of gravity is tested: by deriving (predicting) consequences with auxiliary hypotheses(or theories), then do empirical tests and compare.
That's not the case in social sciences: they pick an explanation(explanans) that only explains what is already picked(explananda).
Just pick up some facts, say, X, Y and Z. And postulate A to explain X, Y and Z. Then do all mumbo jumbo: statistics, surveys, questionnaire. That's not what theories in physics do: they explain/predict something(not from the set X,Y,Z) that is NOT already there.
Larry Laudan in his philosophy of science makes a distinction between confirming instances and positive instances. Social scientists just pick up positive instances(X,Y,Z), Natural sciences are on the look out for confirming instances(instances that are not of the type X, Y and Z).
Take a crude example from our ordinary experience: all swans are white. Go and look out for a white swan. That's a positive instance, not a confirming instance.
What Separates Science from Non-Science? - https://www.realclearscience.com/articles/2012/05/30/what_se...