Stats + Stories

A statistician walks into a bar, and a comedy and art show begins. Creative work for scholars can extend beyond novel research and application. In today's episode of stats and stories, we see how the intersection between interest in statistics and art, as well as the intersection of statistics and comedy, with Dr Greg Matthews. Dr. Matthews is Associate Professor of Statistics and Director of the Center for Data Science and Consulting at Loyola University. He also is a data artist who developed and promoted the Data Art Show, which debuted at the 2016 Joint Statistical Meetings. He performs with the Uncontrolled Variables comedy troupe at the Lincoln Lodge in Chicago and you can see his data art, links to his comedy performance, and much more at his website, Stats in the Wild.

Brian Tarrant, Editor of Significance Magazine, chats about the art of communicating statistics effectively. He shares invaluable storytelling techniques to engage diverse audiences and emphasizes the importance of clarity in presenting complex concepts. The dialogue explores the evolving role of statisticians in public health, especially in partnership with advocacy groups during pivotal moments like the AIDS crisis. Tarrant also highlights insights from recent statistical conferences and the joy of networking and collaboration within the stats community.

Have you ever wondered if people actually hate Coldplay? Do you want statistical proof that Game of Thrones did not stick the landing in its finale? Have you wondered whether you’re actually seeing Nicholas Cage in more movies? Well, you’re in luck there’s a newsletter for that, and it’s the focus of this episode of Stats and Stories with guest Daniel Parris Daniel Parris is a data scientist and journalist who writes about the intersection of statistics and pop culture. He previously worked in the entertainment industry and at DoorDash when the company only had around 150 employees. Parris is also the author of the newsletter Stat Significant that explores popular culture through stats.

What is a median? How about an interquartile range? Don’t even get me started on how to define a p-value. These statistical concepts are hard to grasp for your average statistics student, but imagining how these types of definitions translate into American Sign Language is a whole other ballgame. That is the focus of this episode of Stats+Stories with special guest Dr. Regina Nuzzo. Dr. Regina Nuzzo is a freelance science writer and professor in Washington, DC. After studying engineering as an undergraduate she earned her PhD in Statistics from Stanford University. Currently, she’s teaching statistics in American Sign Language at Gallaudet University, the world’s only liberal arts college for deaf and hard-of-hearing students. Dr. Nuzzo is also a graduate of the Science Communication program at the University of California-Santa Cruz. Her science journalism specialties center around data, probability, statistics, and the research process. Her work has appeared in Nature, Los Angeles Times, New York Times, Reader’s Digest, New Scientist, and Scientific American, among others.

The National Association of science writers has about 2000 members, even as the field of science journalism has been experiencing a contraction. In her 2025 Nieman lab prediction for journalism, Siri Carpenter suggested that, given the challenges the world faces, it might be time that newsrooms embrace "science as a thread that runs through every beat." Science journalism is the focus of this episode of Stats and Stories, with guests Jeff Mervis and Andrew van Dam. Jeff Mervis reports on science policy in the United States and worldwide to explain to scientists how government works. He keeps a close eye on the changing fortunes of science across the federal government. He also follows efforts to improve science and math education and the factors that shape the U.S. and global scientific workforce. Andrew Van Dam writes the Department of Data column each week for The Washington Post. He has covered economics and wrangled data and graphics for The Post and the Wall Street Journal. He got his start at the Idaho Press-Tribune.

The health of the world's oceans is a growing concern but measuring ocean health is a complicated undertaking. Some people studying the issue focus on pollution, while others look at the health of corals or marine mammals. One project attempts to take a comprehensive picture of the health of oceans in order to provide information about Oceanic vital signs to stakeholders. The Ocean Health Index is the focus of this episode of Stats+Stories with guests Lelys Bravo and Julia Stewart Lowndes. Lelys Bravo is a Statistics Professor at the Department of Statistics at the University of Illinois at Urbana-Champaign. Before that she was a member of the Science Steering Committee of the Biospherical Aspects of the Hydrological Cycle project from the International Geosphere-Biosphere Program (IGBP) and Lead author of the Millenium Ecosystem Assessment report. Her research interests include spatial and temporal analysis of environmental data, including the development of risk assessment methods to evaluate the impacts of natural hazards under potential climate change. Julia Stewart Lowndes (@juliesquid) is a marine ecologist, data scientist, and Senior Fellow at the National Center for Ecological Analysis and Synthesis (NCEAS) at the University of California Santa Barbara. She champions kinder, better science in less time through open data science and teamwork. As a marine data scientist, Mozilla Fellow, and Senior Fellow at NCEAS, she has 7+ years designing and leading programs to empower science teams with skillsets and mindsets for reproducible research, empowering researchers with existing open tools and communities. She has been building communities of practice in this space since 2013 with the Ocean Health Index.

The Amazon has been imagined as a pristine wilderness, one in need of protection from development. This framing has often treated the Amazon as a place without history, practically untouched before the arrival of colonizers in South America. Statistics is helping show the history is much more complicated than that and it’s the focus of this episode of Stats and Stories with guest Dani Gamerman. Gamerman is Emeritus Professor at Federal University of Rio de Janeiro, where he was professor of statistics from 1996 to 2019. He is the author of numerous books and research papers, and the StatPop blog. He was one of two statisticians who worked on a Science paper showing evidence of manmade earthworks deep in heart of Amazonia and is also the author of a Significance article examining the use of statistics to map this hidden history of the Amazon.

Gavin Freeguard, a freelance consultant specializing in data and policy, shares insights from his extensive work on COVID's reproduction rates. He discusses how the pandemic ignited a wave of amateur epidemiologists on social media and the resulting mixed messaging around the R number. Freeguard dives into the complexities of modeling COVID-19 transmission and the challenges of communicating data effectively. He also reflects on the importance of reliable data infrastructure for future health crises, emphasizing lessons learned in resilience and preparedness.

What is the best way to support people living in extreme poverty? Could unconditional cash transfers and universal basic income be viable options? How can we know if such programs will work? Today's episode of stats and stories focuses on addressing the needs of people living in extreme poverty with Miriam Laker. Dr. Miriam Laker is the Global Director of Research at GiveDirectly and a Senior Research Scientist and Epidemiologist with nearly two decades of experience conducting research. Amongst her extensive experience, she led the design of the evaluation plans for GiveDirectly’s recently launched Yemen Refugees program; the learning agenda for large cash for refugees in Rwanda, and the evaluation of cash transfers in a disaster (floods and landslides) response in Uganda. She was also involved in a recently concluded randomized controlled trial evaluation of the impacts of large lump sum cash transfers on refugee and host households in Uganda.

Rory McIlroy was leading the 2025 U.S. Masters golf tournament by two strokes after three rounds. So was his ultimate victory a sure thing? How predictive is a lead after three rounds of a golf tournament for victory after the 4th round? In today's episode of stats and stories, we hit the links to explore outcomes in professional golf tournaments, along with addressing whether golf handicaps make for fair comparisons between golfers with guest Dr. Lawrence L. Kupper. Dr. Kupper is Emeritus Alumni Distinguished Professor of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill. His research interests included the development and application of Statistical Methods for public health studies, particularly environmental, occupational, and women's health and quantifying health risks from exposure to environmental and workplace hazards.