Credibility has been a foundational concept for actuaries for more than a century. However, it is most often applied to problems of pricing, rather than reserving. This webinar will take a fresh look at the idea of credibility itself, how sample volume, variance and homogeneity come together for a holistic view of a data set's credibility. We will then see how those concepts may be observed in loss triangles to gauge the relative credibility of multiple data sets. Finally, we will consider linear mixed models applied to a traditional chain-ladder method which allows us to integrate complementary data sets for loss triangles with limited data.