I think Bayesian methods have made ground in sciences such as Sociology, Psychology and Ecology, which are mostly observational, but still attempt to make model

I think Bayesian methods have made ground in sciences such as Sociology, Psychology and Ecology, which are mostly observational, but still attempt to make models with intepretable parameters. With observational studies, representing confounders and uncertainty is a primary concern, because they are the most important source of defeater. Here, Bayesian software such as brms, Stan, pyMC, become a flexible way to integrate may sources of uncertainty. Although, I suspect methods like SEM still dominate for their use cases. Personally, I find myself using Bayesian methods in a similar bag-of-tricks way that I use Frequentist methods mostly because its difficult to believe that complex phenomena is well described by either, so I use whatever makes the case best.