Linked post: "Everything is significant in large datasets." Certainly true, and why people should be suspicious if they see a p-value without an effect size.

Original post: "To me, one of the most unfortunate aspects of log-linear analysis as it is commonly practiced is that it is significance testing-centric, rather than based on point or interval estimation."

I like this fellow.