Good point!

]]>David:

I don’t think it’s a good idea to “determine if A is better than B.” Better is to estimate the costs and benefits of A and B and then use this information to make your decision.

]]>For context:

“Can I use the propensity score and call myself a Bayesian?”

is a reference to https://normaldeviate.wordpress.com/2012/08/28/robins-and-wasserman-respond-to-a-nobel-prize-winner/

“Is Bayes a reasonable theory of how to be perfect but a hopeless theory of how to be good?”

is a reference to http://www.senns.demon.co.uk/You_may_believe_you_are_a_Bayesian.pdf

“Do we need Bayes when we can just A/B test?”

could be clearer. The idea is what is the trade-off between a (possibly Bayesian) modelling effort to determine if A is better than B and just trying it. Bayesian approaches to A/B testing seem like a very interesting topic however!