Richard Sander (UCLA Law) on the Supreme Court Affirmative Action Ruling — #38

Richard Sander is Jesse Dukeminier Professor at UCLA Law School. AB Harvard, JD, PhD (Economics) Northwestern.Steve and Richard discuss the recent Supreme Court ruling in Students For Fair Admissions vs Harvard and UNC.Sander has studied the structure and effects of law school admissions policies. He coined the term "Mismatch" to describe negative consequences resulting from large admissions preferences.0:00 Introduction1:09 Richard Sander’s initial reaction to the Supreme Court ruling4:03 How data influenced the court’s decision7:58 Overview of the court’s ruling11:27 Carve outs in the court’s ruling16:59 The litigation landscape21:25 Workarounds to race-blind admissions and the UC system32:22 Remedies: What will happen with Harvard and UNC now?38:02 The landscape of college admissions44:47 Effects of the Supreme Court ruling beyond higher educationLINKSSCOTUS decision on Affirmative Action:https://int.nyt.com/data/documenttools/supreme-court-decision-on-race-based-admissions/0a725aaabb459074/full.pdfRichard Sander’s amicus brief: https://www.supremecourt.gov/DocketPDF/20/20-1199/222805/20220509134743957_20-1199%2021-707%20Amicus%20BOM.pdfRichard Sander on SCOTUS Oral Arguments: Affirmative Action and Discrimination against Asian Americans at Harvard and UNC: https://www.manifold1.com/episodes/richard-sander-on-scotus-oral-arguments-affirmative-action-and-discrimination-against-asian-americans-at-harvard-and-uncRichard Sander: Affirmative Action, Mismatch Theory, and Academic Freedom: https://www.manifold1.com/episodes/richard-sander-affirmative-action-mismatch-theory-academic-freedom-6Music used with permission from Blade Runner Blues Livestream improvisation by State Azure.--Steve Hsu is Professor of Theoretical Physics and of Computational Mathematics, Science, and Engineering at Michigan State University. Previously, he was Senior Vice President for Research and Innovation at MSU and Director of the Institute of Theoretical Science at the University of Oregon. Hsu is a startup founder (Superfocus.ai, SafeWeb, Genomic Prediction) and advisor to venture capital and other investment firms. He was educated at Caltech and Berkeley, was a Harvard Junior Fellow, and has held faculty positions at Yale, the University of Oregon, and MSU. Announcing this for some friends at Mechanize - a startup that builds environments for training and evaluating frontier LLMs. Its customers include the top AI labs, and it has contributed to the breakthrough in coding capabilities of frontier models. Mechanize is hiring! https://mechanize.work/b/hsu Compensation is extremely competitive. For technical roles, $300-500k. They are also seeking smart generalists. For example: Research Engineer, Alignment: Build evals that test for misaligned model behaviors  $500K salary Puzzle Maker: Design interesting and original puzzles that LLMs can’t yet solve  $300K salary Mechanize understands that my readership is highly selected. There is a VERY GOOD CHANCE you will be interviewed if you apply via the link above.