Big data, though not new, is often talked about as though it is. It’s become something of a buzzword associated with everything from politics to record sales to epidemiology. But, not all big data is created the same – some of it might not even be that big at all. That’s the focus of this episode of Stats and Stories with guest Xiao-Li Meng Xiao-Li Meng is the Whipple V. N. Jones Professor of Statistics, and the Founding Editor-in-Chief of Harvard Data Science Review, is well known for his depth and breadth in research, his innovation and passion in pedagogy, his vision and effectiveness in administration, as well as for his engaging and entertaining style as a speaker and writer. Meng was named the best statistician under the age of 40 by COPSS (Committee of Presidents of Statistical Societies) in 2001, and he is the recipient of numerous awards and honors for his more than 150 publications in at least a dozen theoretical and methodological areas, as well as in areas of pedagogy and professional development.