Despite its—seemingly inevitable—subjective character, there is a sense in which Bayesian statistics might lay claim to objectivity. It can be shown that the Bayesian formalism meets certain objective criteria of rationality, coherence, and calibration. Bayesian statistics thus answers to the requirement of objectivity at a meta-level: while the opinions that it deals with retain a subjective aspect, the way in which it deals with these opinions, in particular the way in which data impacts on them, is objectively correct, or so it is argued. Arguments supporting the Bayesian way of accommodating data, namely by conditionalization, have been provided in a pragmatic context by dynamic Dutch book arguments, whereby probability is interpreted as a willingness to bet (cf. Maher 1993, van Fraassen 1989). Similar arguments have been advanced on the grounds that our beliefs must accurately represent the world along the lines of De Finetti (1974), e.g., Greaves and Wallace (2006) and Leitgeb and Pettigrew (2010).