Improving Science & Restoring Trust in Public Health | Dr. Jay Bhattacharya

My guest is Dr. Jay Bhattacharya, MD, PhD, ⁠Director of the National Institutes of Health (NIH)⁠ and ⁠Professor Emeritus of Health Policy at Stanford University⁠. We discuss which scientific questions ought to be the priority for NIH, how to incentivize bold, innovative science especially from younger labs, how to solve the replication crisis and restore trust and transparency in science and public health, including acknowledging prior failures by the NIH. We discuss the COVID-19 pandemic and the data and sociological factors that motivated lockdowns, masking and vaccine mandates. Dr. Bhattacharya shares his views on how to resolve the vaccine–autism debate and how best to find the causes and cures for autism and chronic diseases. The topics we cover impact everyone: male, female, young and old and, given that NIH is the premier research and public health organization in the world, extend to Americans and non-Americans alike. Episode show notes: https://go.hubermanlab.com/gkuDlhO *Thank you to our sponsors* AG1: ⁠https://drinkag1.com/huberman David: ⁠https://davidprotein.com/huberman Eight Sleep: ⁠https://eightsleep.com/huberman Levels: https://levels.link/huberman LMNT: ⁠https://drinklmnt.com/huberman *Follow Huberman Lab* Instagram: https://www.instagram.com/hubermanlab Threads: https://www.threads.net/@hubermanlab X: https://twitter.com/hubermanlab Facebook: https://www.facebook.com/hubermanlab TikTok: https://www.tiktok.com/@hubermanlab LinkedIn: https://www.linkedin.com/in/andrew-huberman Website: https://www.hubermanlab.com Newsletter: https://www.hubermanlab.com/newsletter *Dr. Jay Bhattacharya* National Institutes of Health (NIH): https://www.nih.gov/about-nih/nih-director Stanford academic profile: https://profiles.stanford.edu/jay-bhattacharya X: https://x.com/drjbhattacharya Great Barrington Declaration: https://gbdeclaration.org Google Scholar: https://scholar.google.com/citations?user=2wH43aAAAAAJ *Timestamps* 00:00:00 Jay Bhattacharya 00:06:56 National Institutes of Health (NIH), Mission 00:09:12 Funding, Basic vs. Applied Research 00:18:22 Sponsors: David & Eight Sleep 00:21:20 Indirect Costs (IDC), Policies & Distribution 00:30:43 Taxpayer Funding, Journal Access, Public Transparency 00:38:14 Taxpayer Funding, Patents; Drug Costs in the USA vs Other Countries 00:48:50 Reducing Medication Prices; R&D, Improving Health 01:00:01 Sponsors: AG1 & Levels 01:02:55 Lowering IDC?, Endowments, Monetary Distribution, Scientific Groupthink 01:12:29 Grant Review Process, Innovation 01:21:43 R01s, Tenure, Early Career Scientists & Novel Ideas 01:31:46 Sociology of Grant Evaluation, Careerism in Science, Failures 01:39:08 “Sick Care” System, Health Needs 01:44:01 Sponsor: LMNT 01:45:33 Incentives in Science, H-Index, Replication Crisis 01:58:54 Scientists, Data Fraud, Changing Careers 02:03:59 NIH & Changing Incentive Structure, Replication, Pro-Social Behavior 02:15:26 Scientific Discovery, Careers & Changing Times, Journals & Publications 02:19:56 NIH Grants & Appeals, Under-represented Populations, DEI 02:28:58 Inductive vs Deductive Science; DEI & Grants; Young Scientists & NIH Funding 02:39:38 Grant Funding, Identity & Race; Shift in NIH Priorities 02:51:23 Public Trust & Science, COVID Pandemic, Lockdowns, Masks 03:04:41 Pandemic Mandates & Economic Inequality; Fear; Public Health & Free Speech 03:13:39 Masks, Harms, Public Health Messaging, Uniformity, Groupthink, Vaccines 03:22:48 Academic Ostracism, Public Health Messaging & Opposition 03:30:26 Culture of American Science, Discourse & Disagreement 03:36:03 Vaccines, COVID Vaccines, Benefits & Harms 03:47:05 Vaccine Mandates, Money, Public Health Messaging, Civil Liberties 03:54:52 COVID Vaccines, Long-Term Effects; Long COVID, Vaccine Injury, Flu Shots 04:06:47 Do Vaccines Cause Autism?; What Explains Rise in Autism 04:18:33 Autism & NIH; MAHA & Restructuring NIH? 04:25:47 Zero-Cost Support, YouTube, Spotify & Apple Follow & Reviews, Sponsors, YouTube Feedback, Protocols Book, Social Media, Neural Network Newsletter Disclaimer & Disclosures: https://www.hubermanlab.com/disclaimer