Big, If True | Stats + Stories Episode 234

Stats + Stories

• Episode: Big, If True | Stats + Stories Episode 234
• Website: Stats + Stories
• Feed URL: https://feeds.soundcloud.com/users/soundcloud:users:483713610/sounds.rss
• Duration: 00:28:00
• Published: 2022-06-02 15:00

Most articles that appear in academic journals are kind of mundane in that they’re extending the work of scholars who have come before, or sometimes taking an old theory in a new direction. There are those moments however, when a piece of research holds the possibility of fundamentally remaking a field. How should those articles be handled? What’s the ethical way to review such research? That’s the focus of this episode of Stats and Stories with guest Andrew German. Andrew Gelman (@StatModeling) is a professor of statistics and political science, and director of the Applied Statistics Center at Columbia University. His research interests include voting behavior and outcomes, campaign polling, criminal justice issues, social network structure, and statistical and research methods. He has received the Outstanding Statistical Application award three times from the American Statistical Association, the award for best article published in the American Political Science Review, and the Council of Presidents of Statistical Societies award for outstanding contributions by a person under the age of 40. Timestamps Could you just describe what a big if true article is? (1:37), Editor motivations and making a splash (9:00), How can reviewers be better? (12:47), Attributing credit in this new post publishing review system (15:21), Why you felt compelled to start your ethics article (18:43), Changing thoughts? (25:03)