Jonah Gelbach's guest appearances

Jonah Gelbach

Background Briefing with Ian Masters

Ipse Dixit

Eric Segall

Lara Bazelon

Lawrence Lessig

Jill Hasday

Josh Douglas

Aya Gruber

Carlton Larson

Charles Kupchan

Ian Madrigal

Cynthia Galaz

William Hartung

Adele Stan

Lucian Truscott

Thomas Barfield

Ahmet Yayla

OwlTail

Siva Vaidhyanathan

Alex Lawson

Calling the Republicans' Bluff on Impeachment; Zuckerberg and Thiel's Secret Meetings with Trump; Trump's Brazen Stealth Attack on Social Securitybackgroundbriefing.org/donate twitter.com/ianmastersmedia facebook.com/ianmastersmedia

Calling the Republicans' Bluff on Impeachment; Zuckerberg and Thiel's Secret Meetings with Trump; Trump's Brazen Stealth Attack on Social Security <a href="http://backgroundbriefing.org/donate" rel="nofollow" target="_blank">backgroundbriefing.org/donate</a> <a href="http://twitter.com/ianmastersmedia" rel="nofollow" target="_blank">twitter.com/ianmastersmedia</a> <a href="http://facebook.com/ianmastersmedia" rel="nofollow" target="_blank">facebook.com/ianmastersmedia</a>

December 17, 2019 - Jonah Gelbach | Siva Vaidhyanathan | Alex Lawson

In this episode, Jonah B. Gelbach, Professor of Law at University of California Berkeley School of Law, discusses his draft article "Estimation Evidence," which will be published in the University of Pennsylvania Law Review. Gelbach begins by explaining what "statistical estimation evidence" is and the different ways in which it can be evaluated. He explains how courts currently review the statistical estimation evidence in the summary judgment and judgment as a matter of law context, and why it is inconsistent with the "preponderance of the evidence" standard they purport to apply. He observes that courts can literally use Bayesian methods to evaluate statistical evidence, and that it is consistent with the preponderance standard. And he reflects on what this tells us about how to proceed from a policy standpoint. Contact Gelbach for a copy of this paper. You can also find his related paper "Legal Sufficiency of Statistical Evidence" (co-authored with Bruce Kobayashi). Gelbach is on Twitter at @gelbach. This episode was hosted by Brian L. Frye, Spears-Gilbert Associate Professor of Law at the University of Kentucky College of Law. Frye is on Twitter at @brianlfrye. Hosted on Acast. See acast.com/privacy for more information.

In this episode, <a href="https://www.law.berkeley.edu/our-faculty/faculty-profiles/jonah-gelbach/" rel="nofollow" target="_blank">Jonah B. Gelbach</a>, Professor of Law at University of California Berkeley School of Law, discusses his draft article "Estimation Evidence," which will be published in the University of Pennsylvania Law Review. Gelbach begins by explaining what "statistical estimation evidence" is and the different ways in which it can be evaluated. He explains how courts currently review the statistical estimation evidence in the summary judgment and judgment as a matter of law context, and why it is inconsistent with the "preponderance of the evidence" standard they purport to apply. He observes that courts can literally use Bayesian methods to evaluate statistical evidence, and that it is consistent with the preponderance standard. And he reflects on what this tells us about how to proceed from a policy standpoint. Contact Gelbach for a copy of this paper. You can also find his related paper "<a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3238793" rel="nofollow" target="_blank">Legal Sufficiency of Statistical Evidence</a>" (co-authored with Bruce Kobayashi). Gelbach is on Twitter at <a href="https://twitter.com/gelbach" rel="nofollow" target="_blank">@gelbach</a>. This episode was hosted by <a href="http://law.uky.edu/directory/brian-l-frye" rel="nofollow" target="_blank">Brian L. Frye</a>, Spears-Gilbert Associate Professor of Law at the University of Kentucky College of Law. Frye is on Twitter at <a href="https://twitter.com/brianlfrye" rel="nofollow" target="_blank">@brianlfrye</a>. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Jonah Gelbach on the Judicial Evaluation of Statistical Evidence