Richard Sander on SCOTUS Oral Arguments: Affirmative Action and Discrimination against Asian Americans at Harvard and UNC

Richard Sander is Jesse Dukeminier Professor at UCLA Law School. AB Harvard, JD, PhD (Economics) Northwestern.Sander has studied the structure and effects of law school admissions policies. He coined the term "Mismatch" to describe the negative consequences resulting from large admissions preferences. Rick and Steve discuss recent oral arguments at the Supreme Court in Students for Fair Admissions vs Harvard College and Students For Fair Admissions vs the University of North Carolina.0:00 Rick’s experience at the Supreme Court4:11 Rick’s impression of the oral arguments16:24 Analyzing the court’s questions29:09 The negative impact on Asian American students34:41 Shifting sentiment on affirmative action40:04 Three potential outcomes for Harvard and UNC cases44:00 Possible reasons for conservatives to be optimistic50:31 Final thoughts on experiencing oral arguments in person52:12 Mismatch theory 56:31 The future of higher education Resources Background on the Harvard case:https://infoproc.blogspot.com/2022/01/supreme-court-to-take-up-harvard-unc.html Transcripts:https://www.supremecourt.gov/oral_arguments/argument_transcripts/2022/20-1199_6537.pdfhttps://www.supremecourt.gov/oral_arguments/argument_transcripts/2022/21-707_m64n.pdfMusic 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 (SafeWeb, Genomic Prediction, Othram) 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.Please send any questions or suggestions to [email protected] or Steve on Twitter @hsu_steve. 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.