The gathering of statistics of various kinds, is vital to our understanding the world around us. But some stats can communicate sensitive data about individuals even when statistical methods a have been thoughtfully designed. The ability to keep data private is the focus of this episode of Stats+Stories with guest Dr. Claire McKay Bowen. Dr. Claire McKay Bowen (@clairemkbowen)) is a principal research associate in the Center on Labor, Human Services, and Population and leads the Statistical Methods Group at the Urban Institute. Her research focuses on developing and assessing the quality of differentially private data synthesis methods and science communication. In 2021, the Committee of Presidents of Statistical Societies identified her as an emerging leader in statistics for her technical contributions and leadership to statistics and the field of data privacy and confidentiality. She is also a member of the Census Scientific Advisory Committee and the Differential Privacy Working Group, an advisory board member of the Future of Privacy Forums, and an adjunct professor at Stonehill College.