Mon: Can we make better graphs of global temperature history?

Tues: Priors I don’t believe

Wed: Cause he thinks he’s so-phisticated

Thurs: Discussion with Steven Pinker on research that is attached to data that are so noisy as to be essentially uninformative

Fri: Combining forecasts: Evidence on the relative accuracy of the simple average and Bayesian model averaging for predicting social science problems

Sat: What property is important in a risk prediction model? Discrimination or calibration?

Sun: “What should you talk about?”

Plus whatever the co-bloggers want to throw in. Right now I’m super-excited about wedge sampling but I’ll let you know more about that once the paper is done.