Not all subjectivists are equally dismissive of the use of statistical hypotheses. Jeffrey (1992) has proposed so-called mixed Bayesianism in which subjectively interpreted distributions over the hypotheses are combined with a physical interpretation of the distributions that hypotheses define over sample space. Romeijn (2003, 2005, 2006) argues that priors over hypotheses are an efficient and more intuitive way of determining inductive predictions than specifying properties of predictive systems directly. This advantage of using hypotheses seems in agreement with the practice of science, in which hypotheses are routinely used, and often motivated by mechanistic knowledge on the data generating process. The fact that statistical hypotheses can strictly speaking be eliminated does not take away from their utility in making predictions.