Stephen T. Ziliak is Professor of Economics at Roosevelt University and Conjoint Professor of Business and Law at the University of Newcastle-Australia.  A major contributor to the American Statistical Association “Statement on Statistical Significance and P-values” (2016) he is probably best known for his book (with Deirdre N. McCloskey) on The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives (2008), showing the damage done by a culture of mindless significance testing, the history of wrong turns, and the benefits which could be enjoyed by returning to Bayesian and Guinnessometric roots.

Listen to the full episode here.

Brad Efron is Max H. Stein Professor of Humanities and Sciences and Professor of Statistics at Stanford University, and Professor of Biostatistics with the Department of Biomedical Data Science in the Stanford School of Medicine; he serves as Co-director of the undergraduate Mathematical and Computational Sciences Program administered by the Department of Statistics. He has held visiting faculty appointments at Harvard, UC Berkeley, and Imperial College, London. He has been recognized with the 2018 International Prize in Statistics.

Paris-based journalist Jonny Jacobsen works as an editor with Agence France-Presse news agency. He wrote his first article for Significance magazine during a sabbatical year in England to take a Masters in Data Journalism. He is preparing a longer version of that article, incorporating documents discussed in this week's podcast, for the Shorthand platform. DMs open on Twitter: @jonnymcj

Mark Hansen is a professor of journalism where he also serves as the Director of the David and Helen Gurley Brown Institute for Media Innovation. Founded in 2012, the Brown Institute is a bi-coastal collaboration between Columbia Journalism School and the School of Engineering at Stanford University -- its mission is to explore the interplay between technology and story. 

Prior to joining Columbia, Hansen was a Professor in the Department of Statistics at UCLA. In addition to his technical work, Hansen also has an active art practice involving the presentation of data for the public. His work with the Office for Creative Research has been exhibited at the Museum of Modern Art in New York, the Whitney Museum, the Centro de Arte Reina Sofia, the London Science Museum, the Cartier Foundation in Paris, and the lobbies of the New York Times building and the Public Theater (permanent displays) in Manhattan. Hansen holds a BS in Applied Math from the University of California, Davis, and a PhD and MA in Statistics from the University of California, Berkeley.

Listen to the full podcast here.