Data visualizations are everywhere, showing up in social media, in the news, and on company websites. With this onslaught, it can be hard to know what visualizations to trust. Learning how to navigate bad graphs and charts is a focus of this episode of Stats and Stories with guest Nathan Yau.

Yau is the author of several books on data visualization, including Visualize This and a number of other works. He also runs the Flowing Data blog, where he works to make the process of creating data visualizations accessible to a wide audience. He recently published a defense against dishonest charts on his blog, which serves as a guide to determining which visualizations to trust.

Flowing Data's Origin and Development 2:32

Surprising Insights and Misleading Charts 7:55

Anatomy of a Chart and Common Misleading Techniques 12:25

Strategies for Reading Data and Interactive Charts 16:31

Feedback and Tools for Visualization 23:26

When American comedian and actor Betty White died, fans lamented the fact that she had just missed making it to her 100th birthday. They felt she’d been robbed of achieving a significant life moment. Some researchers think that this century could see more people making it to that moment and beyond. That’s the focus of this episode of Stats and Stories with guest Michael Pearce.

Michael Pearce is a PhD candidate in Statistics at the University of Washington, working under the supervision of Elena A. Erosheva. His primary research interests include preference learning and developing Bayesian statistical models for social science problems. In his spare time, Michael enjoys running, biking, and paddling around the Puget Sound.

Fall is admissions season at universities across the United States. As colleges work to recruit a new class, a new working paper suggests that politics might impact where students decide to go to school. That’s the focus of this episode of Stats and Stories, with guest Riley Acton.

Riley Acton is an assistant professor of economics at Miami University where she specializes in the economics of education. Much of her current research focuses on how students choose where to apply to and enroll in college and how colleges can affect their local communities. She’s also the lead author on Political Views and College Choices in a Polarized America, a working paper out with the Annenberg Institute at Brown University

The international prize in statistics is awarded every two years by a collaboration among five leading international statistics organizations: the American Statistical Association, the Institute of Mathematical Statistics, the International Biometric Society, the International Statistical Institute, and the Royal Statistical Society. The prize recognizes a major achievement by an individual or team in the statistics field, particularly an achievement of powerful and original ideas that have led to practical applications and breakthroughs in other disciplines. The International Prize in Statistics for 2025 was announced recently, and the winner is Grace Wahba. This episode of Stats+Stories is all about celebrating her career with her former students, Finbarr O'Sullivan and Douglas Nychka.

Finbarr O’Sullivan is a Senior Post-Doctoral researcher and Associate Director in the National Institute for Cellular Biotechnology at Dublin City University. He has research interests in corneal biology and in limbal stem cell culture techniques for corneal epithelial replacement. In conjunction with collaborators in The Royal Victoria Eye & Ear Hospital, Dublin and the Irish Blood Transfusion Service (IBTS) he has developed the technique of using such cultures to treat corneal-limbal epithelial stem deficiency. This technique received regulatory approval in January 2016 and was used on June 2016 in the clinic for the first time.

Douglas Nychka is a statistician who works in applications for the environment. Douglas Nychka is a statistician and data scientist whose areas of research include the theory, computation and application of curve and surface fitting with a focus on geophysical and environmental applications. Currently he is a Professor in the Department of Applied Mathematics and Statistics at the Colorado School of Mines and Senior Scientist Emeritus at the National Center for Atmospheric Research (NCAR), Boulder, Colorado. Before moving to Mines he directed the Institute for Mathematics Applied to Geosciences at NCAR. His current focus in research is the computation of spatial statistics methods for large data sets and the migration of these algorithms into easy to use R packages. He has coauthored more than 100 research articles and with an h-index of 50. He is a Fellow of the American Statistical Association, Fellow of the Institute for Mathematical Statistics and a recipient of the Jerry Sacks Award for interdisciplinary research.

Matthew Shearing is a private sector consultant working globally in partnership with the public, private and not-for-profit sectors on improving official statistics and other data systems, Monitoring and Evaluation, and embedding official statistics standards in wider international development.

David Stern is a Mathematical Scientist and Educator. He is a former lecturer in the School of Mathematics, Statistics and Actuarial Sciences at Maseno University in Kenya and a founding board member of African Maths Initiative (AMI).

Have you ever wondered if what you eat is aging you, or whether women in red really are sexier? In addition to turning to Reddit for the answers to those questions, you can now tune into a new podcast. Normal Curves focuses on sexy science and serious statistics, and it's the focus of this episode of Stats and Stories with guests Regina Nuzzo and Kristin Sainani

Regina Nuzzo is an award-winning science journalist and Gallaudet University professor who talks with audiences around the world about communicating stats creatively. She's written for such outlets as Nature, the New York Times, Scientific American, New Scientist and ESPN, the magazine. She's also served as a guest panelist on Stats and Stories in 2022.

Kristin Sainani is a Stanford professor and science journalist. She teaches the popular Coursera course on writing in the sciences, available in 22 languages, and offers an online medical statistics certificate program through Stanford Online. She also wrote a beauty column for Allure.

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.

John Bailer is “the stats guy” and co-creator of Stats+Stories. He is also University Distinguished Professor and chair of the Department of Statistics at Miami University in Oxford, Ohio. He is currently President-elect of the International Statistical Institute and previously served on the previously on the ASA Board of Directors. His scholarly interests include the design and analysis of environmental toxicology experiments and occupational health studies, quantitative risk estimation, gerontological data analysis, promoting quantitative literacy and enhancing connections between statistics and journalism.

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.