What do our sampling assumptions affect: How we encode data or how we reason from it?

People need to know how data were generated when they encode it; they can't revise it later if their assumptions were wrong

Where the truth lies: How sampling implications drive deception without lying

Efficient communication leaves gaps between message and meaning. Interlocutors, by reasoning about how each other reasons, can help to fill these gaps. To the extent that such meta-inference is not calibrated, communication is impaired, raising the …