Varied methods of data analysis at times give varied results. A score p-value diﬀers from a likelihood ratio based value; an exact unconditional conﬁdence interval is narrower than a conditional one. Which is better? For what type of data, models and designs? If not used with care, the methods of data analysis may themselves unduly distort a scientiﬁc investigation.