October 12, 2012
"[W]e should avoid the temptation to think that, when a Bayesian inference goes wrong, it has to be a problem with the prior. That’s old-fashioned thinking, the idea that the likelihood is God-given and known perfectly, leaving us all to fight over our priors. In many cases, the model matters."

— Andrew Gelman, Bayesian brains?, Statistical Modeling, Causal Inference, and Social Science