Stats + Stories

Hybrid cars are everywhere now but what is your best option if you want to feel the wind in your hair, or at least under your helmet and you want to get a little exercise as well? Well, e-bikes are an answer and that’s the topic on this episode of Stats + Short Stories with guest Helaine Alessio.

Helaine Alessio, PhD, FACSM is a Professor and Chair of the Department of Kinesiology, Nutrition, and Health at Miami University and is a past President of the MWACSM and a fellow of the American College of Sports Medicine. She teaches Exercise Science-related courses and has received university commendations for her teaching. She has been funded by NIH, private foundations, and corporations to support research, teaching, and service projects. She has published 2 books, 13 book chapters, and 56 journal articles, as well as national and international peer reviewed blogs, infographics, and NPR broadcasts. She is listed in the top 2% of Exercise Scientists cited in the world by Stanford University researchers. Her work on academic integrity includes co-editing a special edition of a journal on the topic that was the most widely published for the Journal of Excellence in College Teaching.

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