Stats + Stories

According to the World Bank, some 3.5 billion people live on less than $7 a day. That's more than 40% of the global population. Almost 700 million of those individuals live in extreme poverty, getting by on less than $2.15 a day. In the US in 2024, almost 40 million Americans were living in poverty, according to the U.S. Census. But what do all these numbers mean? How do the people researching income inequality measure poverty, and how reliable are those measurements? That's the focus of this episode of Stats and Stories with guest David Johnson.

David Johnson is the executive director of the International Association for Research in Income and Wealth. Prior to that, he served as a study director for the National Academies of Sciences, Engineering and medicine, for a report called, "Creating an integrated system of data and statistics on household income, consumption and wealth.". Johnson also served for 25 years in the Federal Statistical system, where he was the only senior executive to have leadership roles at the Bureau of Labor Statistics, the Bureau of Economic Analysis and the US Census Bureau. At the Census, he led the implementation of the supplemental poverty measure and the reengineering of the Survey of Income and Program Participation.

Dr. Lloyd Edwards is Professor and Chair of Biostatistics at the University of Alabama at Birmingham. Dr. Edwards has an extensive background in collaborating with researchers in a broad range of areas in biomedical research, including cardiovascular disease, cystic fibrosis, cancer, aging, pediatrics, and minority health. His primary area of applied statistical research relates to the analysis of longitudinal data. Specifically, his statistical research includes derivation of techniques for computation of power, control of Type I error, and measuring model fit in linear and generalized linear mixed models.

Television is filled with "will they or won't they" couples. Friends had Ross and Rachel. Parks and Rec had Leslie and Ben. The Gilmore Girls, had Lorelei and Luke. But what happens after the couple's kiss? Do we keep watching? One statistician dug into the data behind the kiss effect, and that's the focus of this episode of Stats and Stories with guest Ashley Mullan. 

Ashley Mullan is a PhD student and research assistant in Vanderbilt University's Department of biostatistics. Currently, Mullan works on a team focusing on the care children receive in Tennessee's child welfare and juvenile justice systems. She's also interested in pop culture, and in her spare time, analyzes her own consumption of popular media. That led Mullan to author a Significance article on The Kiss Effect, the impact of a "will they won't they?" couple's first kiss on a TV show's ratings.

Peter Guttorp (@pgseattle) is a Professor at the Norwegian Computing Center in Oslo, Norway, and Professor Emeritus at the University of Washington, Seattle. He is also a vice-president of the International Statistical Institute . His research focuses on stochastic models of scientific data and their statistical analysis. He has worked in seismology, hydrology, climatology, hematology and biology.

When it comes to studying conflict, there is obvious data to examine: spending on arms, the number of people killed or injured, and the amount of land won or lost. What's harder to track are the indirect effects of conflict, the ways it produces deaths over time, or its impacts on public health. Researchers are trying to find ways to account for the sometimes less obvious impacts of conflict, and that's the focus of this episode of Stats and Stories with guest Xiao Hui Tai.

Xiao Hui Tai is an assistant professor of statistics at the University of California Davis' Department of Statistics. Her research interests include the use of non-traditional data sources to study problems in data-scarce settings. With the current focus on global public health and estimating the consequences of violent conflict, she's the author of the Significance article Counting the True Cost of War.