# Statistical Reasoning and Scientific Error Statistical reasoning pervades experimental research, but how to apply it is a longstanding issue of debate in philosophy and science. Recent studies that reveal a high prevalence of error and lack of reproducibility in published research highlight the urgency of developing sound foundations of statistical reasoning, and finding techniques for detecting and correcting scientific error. So much the more as scientific error undermines the epistemic authority of science, and the degree to which policy-makers trust scientific experts. The conference brings together an interdisciplinary group of researchers interested in issues of statistical reasoning and scientific error. It focuses on the foundations of statistical inference, how statistical reasoning is applied in the sciences, how statistical inference can correct scientific error and which proposals for reforming scientific method (including restructuring the peer review and publication system) can increase the reliability of published research. **The conference takes place from July 1 to 4 at LMU Munich. Attendance is open to anyone, provided you register in advance. Registration closes on June 15.** Preliminary program: https://scientificerror2019.files.wordpress.com/2019/06/must-program-2.0.pdf The workshop is hosted by the Munich Center for Mathematical Philosophy at the Ludwig-Maximilians-Universität München. ---  http://www.osc.lmu.de/ Follow us on Twitter: https://twitter.com/lmu_osc Join our email newsletter: https://lists.lrz.de/mailman/listinfo/lmu-osc [Unsubscribe](https://lists.lrz.de/mailman/listinfo/lmu-osc) from the newsletter.
