Stats + Stories

Meteorologists go to school to be able to predict the weather accurately, but for some people, weather prediction is a hobby. Maybe they have a trick knee that hurts when it rains or perhaps they know when a storm is coming by how the birds at their feeders are behaving. Some lucky folks have pets that can help them figure out what the weather is going to do and that’s the focus of this episode of Stats and Stories with guest Conner Jackson. Conner Jackson is a Research Instructor in the Department of Biostatistics and Informatics at the Colorado School of Public Health. He serves as the chair of the Education Committee for the Center for Innovative Design and Analysis and teaches a 6-week short course about statistics and data science to bench scientists. His research focuses on the analysis of correlated data, largely in the context of infectious diseases. Timestamps: How did this come about? (1:40) How did you frame this project? (4:40) How do you know, he's predicting rain?(8:29) So how did it work out? (11:40) Conner’s writing style (15:24) Has this influenced your other work? (20:42)

The utility of standardized testing is under debate in the US with opponents of their use in K-12 suggesting educators are now being forced to teach to tests. In higher education, there's been a push to abandon the use of standardized tests in admissions processes. But if we throw out standardized tests completely, are we throwing away a tool that still has some value? That's a question framing this episode of Stats and Stories with guest Howard Wainer. Howard Wainer is a statistician and research scientist with a specialization is the use of graphical methods for data analysis and communication, robust statistical methodology, and the development and application of generalizations of item response theory. After serving on the faculty of the University of Chicago, a period at the Bureau of Social Science Research during the Carter Administration, and 21 years as Principal Research Scientist in the Research Statistics Group at Educational Testing Service. He has authored more than 20 books, John’s favorite of which is "Truth or Truthiness: Distinguishing Fact from Fiction by Learning to Think like a Data Scientist".

Data Journalism is a hot topic in the news business. Reporters working in diverse media and diverse markets are increasingly being asked to work with data. What exactly makes for good data journalism and what does a reporter need to understand to use data well. Those are a few of the questions discussed on The Data Journalism Podcast and that is the focus of this episode of Stats and Stories with guests Alberto Cairo and Simon Rogers. Alberto Cairo is a journalist and designer, and the Knight Chair in Visual Journalism at the School of Communication of the University of Miami. He is also the director of the visualization program at UM’s Center for Computational Science. He has been head of information graphics at media publications in Spain and Brazil. He is the author of several books including his upcoming, How Charts Lie: Getting Smarter About Visual Information, Cairo currently consults with companies and institutions like Google and the Congressional Budget Office, and has provided visualization training to the European Union, Eurostat, the Centers for Disease Control and Prevention, the Army National Guard, and many others. Simon Rogers is an award-winning data journalist, writer and speaker. Author of ‘Facts are Sacred‘, published by Faber & Faber in the UK, China and South Korea. He has also written a range of infographics for children books from Candlewick. Data editor on the News Lab team at Google, based in San Francisco, he is director of the Data Journalism Awards and teaches Data Journalism at Medill-Northwestern University in San Francisco and has taught at U Cal Berkeley Journalism school.

Impacting statistical and data science communites is aspiration that many of us share. Outlets for such impact include work environments where we may collaborate with interdisciplinary teams. Other newer outlets are podcasting in a variety of publishing platforms. Today we will explore the origin story of such a contributor with guest Roger Peng. Roger D. Peng (@rdpeng) is a Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and the Co-Director of the Johns Hopkins Data Science Lab. His research focuses on the development of statistical methods for addressing environmental health problems and he has made major contributions to our understanding of the health effects of indoor and outdoor air pollution.

Impacting the statistical data science communities has an aspiration many of us share. Outlets for such impact include work environments where we may collaborate with interdisciplinary teams as well as other newer outlets such as podcasting and a variety of publishing platforms. Today we will explore the origin story of such a contributor in Hilary Parker. Hilary Parker (@hspter) is a Data Scientist, previously of Stitch Fix, Etsy, and the 2020 Biden for President Campaign. Her work focuses on the intersection of data science and product, from deeply understanding users to designing new experiences that depend on innovative data pipelines and client interactions.

Since the 1990’s people have been trying to figure out who’s the best friend. Is it Chandler because of his dry wit? Phoebe because of her unabashed enthusiasm? Joey because his loyalty? Well, leave it to statistics to give us a firm answer. Who’s the best friend from the show Friends is the focus of this episode of Stats and Stories with guest Mathias Basner Mathias Basner is a professor in the Department of Psychiatry at the University of Pennsylvania Perelman School of Medicine. His primary research interests include the effects of sleep loss on cognition, population studies on sleep time and waking activities, the effects of noise on sleep and health, and astronaut behavioral health on long-duration space missions. Occasionally, he likes to take on odd projects like running a quantitative analysis on who was the best friend on the TV series Friends, or using 150 year-old data to investigate how sounds affect sleep. Check out the full article on Significance - https://rss.onlinelibrary.wiley.com/doi/epdf/10.1111/1740-9713.01574

From Florence Nightingale to David Cox we hear at Stats and Stories love tales of the careers of statisticians who made an impact on the world. Yes, friends in nursing, we claim Florence as part of statistics too. While those two pioneers are no longer with us, Jana Asher is here with us today in this episode of Stats and Short Stories. Jana Asher is an Assistant Professor of Mathematics and Statistics at Slippery Rock University. She is also a Service-Learning Associate of the Office for Community-Engaged Learning at SRU, as well as outside of work, she is a member of the board of directors for the Pittsburgh Interfaith Evolutions Corporation (PIE), a non-profit organization dedicated to spreading interfaith understanding. Her research interests include questionnaire design, survey methods, record linkage, history of statistics, community-engaged education, and statistics education as well as her work with human rights and sexual violence. Within the ASA, she is currently a member of the Committee on International Relations and the Program Chair for the Section on Survey Research Methods.

Dr. Dennis Pearl is a Professor of Statistics at Pennsylvania State University and Director of the Consortium for the Advancement of Undergraduate Statistics Education (CAUSE). Dr. Pearl's education work centers on building a national infrastructure to support instructors of statistics, developing resources for instructors in both statistics and probability education, and developing and testing new pedagogical methods. One of the regular conversations we have at Stats and Stories is how to improve stats education, both for people who want to be statisticians, as well as for people who need to be able to understand data for their jobs or just to be able to go about their daily lives. The Consortium for the Advancement of Undergraduate Statistics Education has been working on this issue for the last 20 years. Its work is the focus of this episode of Stats and Stories with guest Dennis Pearl

Gambling is often tricky topic. It got Pete Rose kicked out of baseball, and more recently, made news when Michigan State University announced a betting partnership with Ceasers entertainment. As with everything new media and big data have only complicated the conversations around games of skill vs. games of chance. That’s the focus of this episode of Stats+Stories with guest Dr. Mike Orkin. Dr. Mike Orkin is a Professor of Statistics Emeritus at California State University, where he was a professor and chair of the statistics department for many years before becoming a consultant and a nationally known authority on probability and gambling games. Since then he has appeared in numerous forms of media ranging from CBS Evening News, NBC’s Dateline, a Google Tech Talk series as well as authored serval books.

The Gilded Age in the U.S. is perhaps best known for the great men who rose to prominence at the time. Men such as John D. Rockefeller and JP Morgan, who made money hand over fist. One of those men Andrew Carnegie was not only a shrewd businessman, he was also a shrewd statistician of sorts. His legacy is the focus of this episode of Stats and Stories with guest Christopher Tong. How you got interested in Andrew Carnegie as a statistician? (1:33), Carnegie’s background (3:44), How much influence did his work have? (8:58), The Census (10:11), the ASA today (15:48), How does his work inform today? (20:02), Statistics in business today (21:38) Christopher Tong has been a nonclinical and clinical biostatistician for 20 years, both in the pharmaceutical industry and in government. He has a master's degree in applied statistics, and a Ph.D. in physics, from Purdue University. He has co-authored work published in journals in fields such as fluid dynamics, atmospheric science, physiological acoustics, chemometrics, medical imaging, microbiology, and human and veterinary medicine.