No matter how careful a researcher or statistician is there's the possibility that an error made exists in reported data. The trick as a reader is figuring out how to identify errors and then understand what they might mean. Learning how to be a statistical detective as a focus of this episode of Stats and Stories with guest Kristin Sainani. Kristin Sainani(née Cobb)(@KristinSainani) is a professor at Stanford University. She teaches statistics and writing; works on statistical projects in sports medicine; and writes about health, science and statistics for a range of audiences. She authored the health column Body News for Allure magazine for a decade. She is the statistical editor for the journal Physical Medicine & Rehabilitation; and has authored a statistics column, Statistically Speaking, for this journal since 2009. She is also the associate editor for statistics at Medicine & Science in Sports & Exercise. She teaches the popular Massive Open Online Course (MOOC) Writing in the Sciences on Coursera, and also offers an online medical statistics certificate program through the Stanford Center for Professional Development. She was the recipient of the 2018 Biosciences Award for Excellence in Graduate Teaching at Stanford University.