Which sounds fine if you believe that heterodox but still valid science gets into the mainstream eventually - like (e.g.) the theory of continental drift did.
But what if useful science falls through the cracks? What if we could have had a valid theory of quantum gravity by now, from a left-field approach that never had funding or PhD students to research it?
How would anyone know?
I do quantum chemistry research. Do you recognize any of the names: Colbeck, Renner, Alavi, Booth, Kohn, Sherrill, Gill, or Pople? Colbeck and Renner are about as philosophical as you're going to get for scientists who currently perform actual research (Tegmark and Baez are in categories of their own).
Also, isn't quantum chemistry too applied for there to be significant arguments about specific interpretations? I only know QC as it concerns DFT or QMC (I do semiconductor modeling)
> Also, isn't quantum chemistry too applied for there to be significant arguments about specific interpretations?
I suppose that is mainly the point of my original post; the vast majority of researchers who utilize QM do so without regard to the philosophical aspects of the subject. Wouldn't you think Sean Carroll is an outlier in that sense?
And that's my actual point. When it comes to rejecting or accepting new models, there is much dogma in physics as there is in sociology, because the underlying problem is human beings not the subject of study. Even Einstein dogmatically said "God does not play dice", rejecting QM based on his intuition about how the universe works rather than being cold and only looking at observation.
Personally, I don't think there is anything inherently wrong with dogma, it helps your research become an overdamped system otherwise you'd be wasting all your time following ultimately fruitless leads. The important thing is to use this inherent quality of humans to your advantage.
Yeah, but these people are rarely actual physicists. A physicist might discuss "interpretations of quantum mechanics" over lunch with a colleague in a fun, speculative way, but it makes little difference on the research they perform. More importantly, it doesn't affect the predictions that their research makes. This is not the case with the social sciences.