I like Bayesianism because I think it's mathematically and philosophically cleaner. Then again, I think MCMC seems to show that it isn't so computationally clean. In realtime systems I am more than happy to use Frequentist models for their speed.
I suppose believe in a world where Bayesian methods are the primary didactic statistics useful in sciences and communication and Frequentist methods are used when closed form estimators are necessary and coherent with Bayesian estimates.
Or maybe an even better world where we have closed form, useful estimates from both camps.
Just think quantum computing. You could write down everything you know and every piece of data you have, eliciting by hand your utility and priors, and then press go on the mcmc. Awesome.
I suppose believe in a world where Bayesian methods are the primary didactic statistics useful in sciences and communication and Frequentist methods are used when closed form estimators are necessary and coherent with Bayesian estimates.
Or maybe an even better world where we have closed form, useful estimates from both camps.