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Originally a talk delivered at a conference on Bayesian statistics, this article attempts to answer the following ques tion: why is most scientific data analysis carried out in a non-Bayesian framework? The argument consists mainly of some practical examples of data analysis, in which the Bayes ian approach is difficult but Fisherian/frequentist solutions are relatively easy. There is a brief discussion of objectivity in statistical analyses and of the difficulties of achieving objectivitydoi:10.1080/00031305.1986.10475342 fatcat:ezawhxbaozdgbgzh7dxolgodqu