The Billboard Hot 100 has been ranking the week's most popular music since 1958. The first song to top the chart was Ricky Nelson's Poor Little Fool. The most recent song to do so is Taylor Swift's The Fate of Ophelia. A lot has changed in the music industry between those two songs, not only in the types of songs that top the charts, but also in how they're promoted and how they're determined. A new book explores the statistics behind the Hot 100, and it's the focus of this episode of Stats + Stories with guest Chris Dalla Riva. Chris Dalla Riva is an analyst for the music streaming service Audiomack by day while spending his nights writing and recording music and writing about music for his newsletter Can’t Get Much Higher.

On the podcast, we talk about the ways we live in and with data, as well as the ways data shape our lives and our politics. Public discourse around data is often wrapped up in the negative ways it can impact our lives. A movement among statisticians, data scientists, and other researchers shows the positive impacts of data when used to work towards solutions to humanitarian problems. The data for good movement is a focus of this episode of Stats and Stories with guest David Corliss. David Corliss is the founder and director of Peace Work, a volunteer cooperative of statisticians and data scientists applying statistical methods to issue-driven advocacy. Human trafficking research is a major initiative at Peace Work. Corliss is also a research scholar and a member of the Global Association of Human Trafficking Scholars.

Glenn Platt (@glennplatt) is the C. Michael Armstrong Professor of Network Technology & Management & Director of Interactive Media Studies at Miami University. He is interested in social media marketing, digital media and e-Commerc. He is also the faculty sponsor of the Esports team at Miami.

American Football is a game played with 11 players on offense competing against 11 players on defense, with a sequence of plays executed as one team attempts to outscore the other, but each discrete play reflects actions on the field by players and off the field by coaches. For example, what is the best spot on the field to complete a pass and not get it intercepted? How do quarterbacks differ with respect to their release points? When should you ice the kicker? These are the questions that we are trying to answer on this special football-themed episode of Stats+Stories.  Mike Lopez serves as Senior Director of data and analytics at the National Football League, and he's held this position since August of 2018, after previously serving as director in the same department. Before this role, Mike worked at Skidmore College as a lecturer, research associate and as an assistant professor. Adriana Gonzalez Sanchez is pursuing a PhD in business analytics from the University of Cincinnati, with a research focus on discrete data analysis and statistical methodology. Ryan Elmore is an associate professor in the Department of Business Information and Analytics at the University of Denver's Daniel College of Business. His research interests include statistics and sports, non-parametric statistical methods, and energy-efficient high-performance computing. He currently serves as an associate editor for the Journal of Quantitative Analysis in Sports. Background in Sports Analytics 2:00 Evolution of Football Data 5:23 2024 Kickoff Rule Changes 8:36 Next Generation Stats and Data Collection 15:28 In-Game Analytics and Coaching Decisions 20:35 Fourth Down Strategy Revolution 24:23 Future of Player Evaluation 27:20 Replay Process Efficiency 28:30 Ryan Elmore and Adriana Gonzalez Sanchez Interview Starts 31:50 Inspiration for the Research 33:23 Play-by-Play Data 37:53 Defining Iced Kicks & Matching Approach 40:33 Causal Inference & “Parallel Universes” Idea 45:05 Strategic Use of Timeouts & Other Situations 51:03 Future Research Directions 57:25

News stories are filled with tales of risk and uncertainty. We're told the probable chance of a weather event or how likely it is that we might contract an illness. There's an art to telling stories with uncertainty that provides context and nuance that is often missing. That is the focus of this episode of Stats+Stories with guest David Spiegelhalter. Sir David Spiegelhalter is a British statistician and Emeritus Professor at the University of Cambridge, known for his work on risk communication and public understanding of statistics. He is the author of The Art of Statistics, a former President of the Royal Statistical Society, and was knighted in 2014 for his services to medical statistics. He also presented BBC documentaries and is the founder of the Winton Centre for Risk and Evidence Communication at Cambridge. Inspiration Behind the Book (1:11) Defining Uncertainty and Its Impact (4:14) Storytelling and Examples in the Book (7:48) Probability and Communication (12:54) Trustworthy Communication (17:34) Application of Trustworthy Communication Principles (19:14) Deep Uncertainty and Imagination (27:42)

Linda J. Young is Chief Mathematical Statistician and Director of Research and Development of USDA's National Agricultural Statistics Service . She oversees efforts to continually improve the methodology underpinning the Agency's collection and dissemination of data on every facet of U.S. agriculture. She works on the surveys designed to characterize agricultural activity in the US.

Statistical literacy was described by Iddo Gal as "the ability to interpret, critically, evaluate and communicate about statistical information and messages". With that in mind, get ready to take a journey on all the ways our guests are promoting statistical literacy in this episode of Stats+Stories. Glickman/Lesser Interview Starts at 27:42 Pedro Campos is the Deputy Director of the International Statistical Literacy Project (ISLP) and associate professor in the Faculty of Economics at the University of Porto, and director of the methodology unit at Statistics Portugal. He also leads the team of statistical literacy at the global network of institutions for statistical training from the UN, where he helps promote statistical literacy worldwide. Larry Lesser is a professor in the Mathematical Sciences Department of the University of Texas at El Paso. He's also an elected fellow of the American Statistical Association. Lesser has won a number of awards for his work within and outside of his discipline. He's also a singer-songwriter whose passion for combining music and STEM has made its way into his research, grant writing, teaching, outreach, and service, and most of his published poems and songs are STEM-related. Mark Glickman is a senior lecturer of statistics at the Harvard University Department of Statistics and a senior statistician at the Center for Healthcare Organization and Implementation Research, a Veterans Administration center of innovation. He's also a fellow of the American Statistical Association. Before joining Harvard, he was a research professor of health policy and management at the Boston University School of Public Health. He's also served as an elected member of the American Statistical Association's board of directors, as representative of the Council of sections, governing board from night from 2019 to 2021.

The costumes are ready and the annual opportunity to go out and harass your neighbors to get candy is once again upon us. Yes, it's time for Halloween. And along with Halloween comes the worry, the concern the fear that in fact, someone will be poisoning my kid’s candy. This is something that has lived with us for decades and we have someone today that will help us investigate this mystery on this episode of Stats and Short Stories with guest Joel Best. Joel Best is a Professor Of Sociology And Criminal Justice At The University Of Delaware. His writing focuses on understanding how and why we become concerned with particular issues at particular moments in time–why we find ourselves worried about road rage one year, and identity theft a year or so later. He’s written about the ways bad statistics creep into public debates, and about dubious fears, such as the mistaken belief that poisoned Halloween candy poses a serious threat to our kids. Check out his books Damned Lies and Statistics, More Damned Lies and Statistics, Stat-Spotting.

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.

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.