My talk in the upcoming conference on Inference from Non Probability Samples, 16-17 Mar in Paris:
Looking for rigor in all the wrong places
What do the following ideas and practices have in common: unbiased estimation, statistical significance, insistence on random sampling, and avoidance of prior information? All have been embraced as ways of enforcing rigor but all have backfired and led to sloppy analyses and erroneous inferences. We discuss these problems and some potential solutions in the context of problems in applied survey research, and we consider ways in which future statistical theory can be better aligned with practice.
The talk should reflect how my thinking has changed from this talk a couple years ago.