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  1. RFK Jr., America’s Leading Advocate for Getting Measles (www.theatlantic.com)
  2. Trump’s Cheat Code for Thinning Out the Health Agencies (www.theatlantic.com)
  3. Inside the Collapse at the NIH (www.theatlantic.com)
  4. The Problem With Optimism in a Crisis (www.theatlantic.com)
  5. Experts can see for miles; non-experts are walking around in the tall grass and can’t see past their next step. When it comes to geometry, I’m no expert. (statmodeling.stat.columbia.edu)
  6. Grad School Is in Trouble (www.theatlantic.com)
  7. Immune 89: Misplaced antibodies and foreign food foes (www.microbe.tv)
  8. Our proposal for scheduled post-publication review: “Even if each review took twice the effort of the average pre-publication review, our system would add only 1 percent to the total reviewing effort, while providing important perspectives on papers representing more than one-quarter of the citations received by these influential journals.” (statmodeling.stat.columbia.edu)
  9. You can nominate someone for the American Statistical Association’s Excellence in Statistical Reporting Award (statmodeling.stat.columbia.edu)
  10. What is interesting writing and can LLMs create it? (statmodeling.stat.columbia.edu)
  11. Beware scientists who don’t dogfood it. (statmodeling.stat.columbia.edu)
  12. Entries due this Friday! Predict cherry blossom dates in five cities (statmodeling.stat.columbia.edu)
  13. Fiction and standup comedy (statmodeling.stat.columbia.edu)
  14. COVID Broke the Rules of Virus Evolution (www.theatlantic.com)
  15. Commissars screwing with the U.S. government don’t want us to see the data (statmodeling.stat.columbia.edu)
  16. TWiV 1195: Dickson Despommier, parasitologist without borders (www.microbe.tv)
  17. Government Advances in Statistical Programming conference, 25-26 June 2025 (statmodeling.stat.columbia.edu)
  18. “Why don’t machine learning and large language model evaluations report uncertainty?” (statmodeling.stat.columbia.edu)
  19. TWiV 1194: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  20. Approaching the singularity (not in a good way) (statmodeling.stat.columbia.edu)
  21. Spared by DOGE—For Now (www.theatlantic.com)
  22. Perfectly stable climates and other statistical myths (statmodeling.stat.columbia.edu)
  23. What are the modern myths? (statmodeling.stat.columbia.edu)
  24. The NIH Memo That Undercut Universities Came Directly From Trump Officials (www.theatlantic.com)
  25. What are the grand challenges in Bayesian computation? (statmodeling.stat.columbia.edu)
  26. Clive James on Charade: What to think when someone you admire has different tastes than you? (statmodeling.stat.columbia.edu)
  27. I love reading old book reviews (statmodeling.stat.columbia.edu)
  28. The Coming Democratic Baby Bust (www.theatlantic.com)
  29. When do stories seem real? (statmodeling.stat.columbia.edu)
  30. TWiV 1193: HPV or not to B (www.microbe.tv)
  31. A github utility to discover retracted articles in your .bib (statmodeling.stat.columbia.edu)
  32. Conflicts of interest in vaping studies. (Yes, researchers will risk their professional reputations out of some combination of political motivations, irritation, and money.) (statmodeling.stat.columbia.edu)
  33. TWiV 1192: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  34. The Erasing of American Science (www.theatlantic.com)
  35. Maybe they should just write some papers about their priors and not mess around with actual data! (statmodeling.stat.columbia.edu)
  36. Better priors for AR, ARX, LTX, DR, MA, ARMA, and VAR models (statmodeling.stat.columbia.edu)
  37. Flatiron-wide Autumn Meeting: talks are now online (statmodeling.stat.columbia.edu)
  38. The House Where 28,000 Records Burned (www.theatlantic.com)
  39. The Scientific Literature Can’t Save You Now (www.theatlantic.com)
  40. RFK Jr. Won. Now What? (www.theatlantic.com)
  41. And if he does research on potassium, you can bet he’ll strike out in the lab’s softball game (statmodeling.stat.columbia.edu)
  42. 9 AI/ML/comp.stat./CS professor positions at Aalto University, Finland (statmodeling.stat.columbia.edu)
  43. “Research With the Reluctant: Challenges and Strategies” (statmodeling.stat.columbia.edu)
  44. Why the COVID Deniers Won (www.theatlantic.com)
  45. Posterior SBC: Simulation-Based Calibration Checking Conditional on Data (statmodeling.stat.columbia.edu)
  46. When is 60 the new 40? (statmodeling.stat.columbia.edu)
  47. What Happens When Bird Flu Gets Worse? (www.theatlantic.com)
  48. A New Kind of Crisis for American Universities (www.theatlantic.com)
  49. Talks Feb 11 (Princeton) and Feb 18 (Stanford) on benchmarking human decisions from predictions (statmodeling.stat.columbia.edu)
  50. What is the correct value of X in the sentence, “The t test is the Xth most important statistical method in science”? (statmodeling.stat.columbia.edu)
  51. “Why are places like Stanford and Johns Hopkins hosting gatherings of well-known coronavirus cranks?” (statmodeling.stat.columbia.edu)
  52. TWiV 1191: The pandemic duo (www.microbe.tv)
  53. What an ‘America First’ Diet Would Really Look Like (www.theatlantic.com)
  54. If there really is more fraud being done by prominent scientists than there was in the past, why? Here’s a theory: (statmodeling.stat.columbia.edu)
  55. TWiV 1190: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  56. “Deep fakes threaten truth everywhere, but particularly in science. Content provenance means data provenance, information provenance and knowledge provenance. It is the chain of provenance that will establish what is truth.” (statmodeling.stat.columbia.edu)
  57. Trump Is Inheriting an Environmental Disaster (www.theatlantic.com)
  58. “Florida man eats diet of butter, cheese, beef; cholesterol oozes from his body”: How much am I to blame for this? (statmodeling.stat.columbia.edu)
  59. He, she, they: Using sex and gender in survey adjustment (statmodeling.stat.columbia.edu)
  60. America Can’t Just Unpause USAID (www.theatlantic.com)
  61. Generalized linear neural network models (statmodeling.stat.columbia.edu)
  62. The Doctor Who Let RFK Jr. Through (www.theatlantic.com)
  63. The Last Days of American Orange Juice (www.theatlantic.com)
  64. Not just empirically but scientifically (statmodeling.stat.columbia.edu)
  65. What do I think of this Bayesian analysis of the origins of covid? (statmodeling.stat.columbia.edu)
  66. Beat the bot in this year’s Cherry Blossom Prediction Competition (statmodeling.stat.columbia.edu)
  67. ADHD’s Sobering Life-Expectancy Numbers (www.theatlantic.com)
  68. Anti-vax attitudes and political ideology (statmodeling.stat.columbia.edu)
  69. Graphical display of election forecast uncertainty (statmodeling.stat.columbia.edu)
  70. TWiV 1189: Viruses making waves (www.microbe.tv)
  71. AI can solve math olympiad problems but flunks tic-tac-toe (statmodeling.stat.columbia.edu)
  72. If RFK Jr. Loses (www.theatlantic.com)
  73. TWiV 1188: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  74. CDC Data Are Disappearing (www.theatlantic.com)
  75. Trump Has Created Health-Care Chaos (www.theatlantic.com)
  76. neal.fun (statmodeling.stat.columbia.edu)
  77. Supporting research because it’s cool or because it’s useful (statmodeling.stat.columbia.edu)
  78. Cancel culture at University of Oregon (statmodeling.stat.columbia.edu)
  79. Immune 88: Bespoke antibodies and stinging erythropoiesis (www.microbe.tv)
  80. “This Device Is ‘Proven’ to Protect Athletes’ Brains. The Science Is Under Fire.” (statmodeling.stat.columbia.edu)
  81. In decreasing order of importance: (1) The error, (2) How the error persisted, (3) The research misconduct, (4) Who did it. (statmodeling.stat.columbia.edu)
  82. Unjournal Update (statmodeling.stat.columbia.edu)
  83. How did Laura Wattenberg’s baby name predictions turn out, 15 years later? (statmodeling.stat.columbia.edu)
  84. “Does anyone actually expect meaningful insight to come from a study like this?” (statmodeling.stat.columbia.edu)
  85. Reading the referee reports of that retracted paper by the science reformers: A peek behind the curtain (statmodeling.stat.columbia.edu)
  86. TWiV 1187: The tau of herpesvirus (www.microbe.tv)
  87. TWiV 1186: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  88. TWiV 1185: The birds and the Bs (www.microbe.tv)
  89. TWiV 1184: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  90. Immune 87: When the immune system misbehaves (www.microbe.tv)
  91. TWiV 1183: More than 2024 viruses (www.microbe.tv)
  92. TWiV 1182: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  93. TWiV 1181: Seek and ye shall find, coronaviruses and phage (www.microbe.tv)
  94. TWiV 1180: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  95. Revisiting depression incidence by county and vote for Trump (freerangestats.info)