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  1. Matters Microbial #130: The Holobiont — Animals, Microbes, and Ecology (www.microbe.tv)
  2. Survey Statistics: GREG (statmodeling.stat.columbia.edu)
  3. It’s Maddeningly Difficult to Ban Smoking (www.theatlantic.com)
  4. This Ebola Outbreak Will Be Hard to Contain (www.theatlantic.com)
  5. James Heathers will fix Wiley’s problems for less than 3.7 million dollars (that is, 2,553,739 Jamaican beef patties, 47,064 whisky-sodden meals at Newark airport, or nearly 218 invites to a conference featuring Gray Davis, Grover Norquist, and a rabbi) (statmodeling.stat.columbia.edu)
  6. Immune Booster 29: Immune regulation and science communication with Nicholas Jackson (www.microbe.tv)
  7. MrPlew: Locally Equivalent Weights for Multilevel Regression and Poststratification (statmodeling.stat.columbia.edu)
  8. Jonah’s seminar tomorrow: “Bayesian Workflow and the Software That Shapes It” (statmodeling.stat.columbia.edu)
  9. What is “the definition of a professional career”? (statmodeling.stat.columbia.edu)
  10. If Books Could Kill podcast (statmodeling.stat.columbia.edu)
  11. TWiV 1323: One influenza infection, two patients (www.microbe.tv)
  12. Why are there squares everywhere in statistics (e.g., normal density, variance, least squares, etc.)? (statmodeling.stat.columbia.edu)
  13. Sean Manning’s lexicon (statmodeling.stat.columbia.edu)
  14. TWiV 1322: Clinical update with Dr. Daniel Griffin - Hantavirus special (www.microbe.tv)
  15. When is it time for a Five-Year Plan? (statmodeling.stat.columbia.edu)
  16. A Perfume With a Whiff of MAGA (www.theatlantic.com)
  17. Alchemize: PyMC’s model to replace Stan/PyMC, etc. with an LLM (statmodeling.stat.columbia.edu)
  18. “As our daily lives involve ever more sophisticated computers, we will find that ascribing little thoughts to machines will be increasingly useful in understanding how to get the most good out of them” but “we must be careful not to ascribe properties to a machine that the particular machine doesn’t have” (statmodeling.stat.columbia.edu)
  19. “DC Conventional Wisdom Goes Down to Defeat in State after State” (statmodeling.stat.columbia.edu)
  20. Why Did Bill Cassidy Do It? (www.theatlantic.com)
  21. Recent discoveries on the acquisition of the highest levels of statistical fallacies (statmodeling.stat.columbia.edu)
  22. Survey Statistics: relevant alternatives ? (statmodeling.stat.columbia.edu)
  23. The Application Matters: Medical Ethics and Counterfactual Utilities (statmodeling.stat.columbia.edu)
  24. A Profound Mismatch in Modern Medicine (www.theatlantic.com)
  25. I’m on the EPA science advisory board. (statmodeling.stat.columbia.edu)
  26. Durations of wars (freerangestats.info)
  27. It kinda makes sense that you can know roughly 700 people. (statmodeling.stat.columbia.edu)
  28. I Remember America Before the Measles Vaccine (www.theatlantic.com)
  29. Who wanted Trump to run in 2024? (statmodeling.stat.columbia.edu)
  30. Marty Makary Set the Conditions for His Own Downfall (www.theatlantic.com)
  31. TWiV 1321: Phage cross talk and cross reactions (www.microbe.tv)
  32. More thoughts regarding comfortable, powerful people who seem willing or even eager to blow up the system. (statmodeling.stat.columbia.edu)
  33. Admit It, That Protein Shake Is Basically Soylent (www.theatlantic.com)
  34. TWiV 1320: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  35. “An Axiomatic Foundation for Decisions with Counterfactual Utility” (statmodeling.stat.columbia.edu)
  36. ‘This Is Not Going to Be the Next COVID’ (www.theatlantic.com)
  37. The Pick-the-Winner-Picker Heuristic: Preference for Categorically Correct Forecasts (statmodeling.stat.columbia.edu)
  38. What Happened on the Hantavirus Cruise, According to a Doctor On Board (www.theatlantic.com)
  39. David W. Hogg on why we do astrophysics (in the face of LLMs and the lack of clinical value) (statmodeling.stat.columbia.edu)
  40. Overall, I remain a fan of Oliver Sacks. (statmodeling.stat.columbia.edu)
  41. Misoprostol Could Be Next (www.theatlantic.com)
  42. Handbook of Markov chain Monte Carlo, second edition (statmodeling.stat.columbia.edu)
  43. A Brutal First for the Cruise Industry (www.theatlantic.com)
  44. Survey Statistics: Blue Rose Research is (still) hiring ! (statmodeling.stat.columbia.edu)
  45. Is government policy actually “virtually unrelated to the desires of the low- and middle-income citizens”? (statmodeling.stat.columbia.edu)
  46. What Adding Race to BMI Can Do (www.theatlantic.com)
  47. Immune Booster 28: Immunometabolism, Inflammation, and Building Biotechs with Luke O'Neill (www.microbe.tv)
  48. Expanding the Stan User’s Guide (statmodeling.stat.columbia.edu)
  49. For once, some scientific fraudsters have to pay their money back to the government. (statmodeling.stat.columbia.edu)
  50. An economist writes: “the fulminations over the #1 pick seem overheated to me.” (statmodeling.stat.columbia.edu)
  51. The Cost of ‘Natural’ Womanhood (www.theatlantic.com)
  52. TWiV 1319: An earful of SARS-CoV-2 (www.microbe.tv)
  53. John Carlin says, “‘Identifying variables that independently predict…’ is not a well-defined research task” (statmodeling.stat.columbia.edu)
  54. Your Next Dog May Live Longer (www.theatlantic.com)
  55. TWiV 1318: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  56. What advice do you have for this student who’s in his first year of college and interested in both statistics and political science? (statmodeling.stat.columbia.edu)
  57. The Secret to Success Is ‘Monotasking’ (www.theatlantic.com)
  58. The Trump Administration Casts Out the ‘Soul’ of MAHA (www.theatlantic.com)
  59. A study is retracted after it turns out that its authors were misrepresented as “third-party experts” even though they were actually paid by the company? (statmodeling.stat.columbia.edu)
  60. Show me science (statmodeling.stat.columbia.edu)
  61. Taking one more swing at the foolish nudgelords who associate the Soviet Union with environmental protection (statmodeling.stat.columbia.edu)
  62. Survey Statistics: exploded logit ! (statmodeling.stat.columbia.edu)
  63. Two Health Economists Walk into a Bar: What bothered me in that conversation of Jay Bhattacharya and Emily Oster (statmodeling.stat.columbia.edu)
  64. Immune Booster 27: Interferons, JAKs, and STATs with George Stark (www.microbe.tv)
  65. Is It the Shoes? (www.theatlantic.com)
  66. MAHA’s Perfect Villain (www.theatlantic.com)
  67. Hey! Try out the RMET (“the Reading the Mind in the Eyes test”). (statmodeling.stat.columbia.edu)
  68. Should French pollsters be using Mister P? (statmodeling.stat.columbia.edu)
  69. Why isn’t it possible to play a fun and serious game of poker not for money? (statmodeling.stat.columbia.edu)
  70. TWiV 1317: Dead shrimp walking (www.microbe.tv)
  71. He’s a music educator evaluating K–12 music education systems, and he wants someone to look at his measurements and statistics. (statmodeling.stat.columbia.edu)
  72. Blogging and writing style (statmodeling.stat.columbia.edu)
  73. TWiV 1316: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  74. Update on that un-published CDC report on covid vaccines (statmodeling.stat.columbia.edu)
  75. Three things I forgot to say today at the National Academy of Sciences Workshop on Enhancing Scientific Integrity (statmodeling.stat.columbia.edu)
  76. Trump 1 vs. Trump 2: The role of the two other branches of government (legislative and judicial) (statmodeling.stat.columbia.edu)
  77. Probability theory corner: My favorite birthday-problem story (statmodeling.stat.columbia.edu)
  78. If that CDC report had just included some fake citations and some crazy dietary advice, the boss would surely have approved it for publication. (statmodeling.stat.columbia.edu)
  79. MAHA Swing Voters Are an Illusion (www.theatlantic.com)
  80. Fraud and the false optimism of AI for science (statmodeling.stat.columbia.edu)
  81. Postmodern anti-science attitudes? (statmodeling.stat.columbia.edu)
  82. A ‘Barbaric’ Problem in American Hospitals Is Only Getting Bigger (www.theatlantic.com)
  83. Survey Statistics: dCV for MRP ? (statmodeling.stat.columbia.edu)
  84. A Life Hack for the Ultra-Wealthy Is Going Mainstream (www.theatlantic.com)
  85. Did Taylor Swift kill a bunch of people? (statmodeling.stat.columbia.edu)
  86. Immune 103: Cytokines 101 (www.microbe.tv)
  87. TWiV 1315: Jabs for bats (www.microbe.tv)
  88. TWiV 1314: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  89. RFK Jr.’s New Normal (www.theatlantic.com)
  90. The DNA Fix for Aging (www.theatlantic.com)
  91. TWiV 1313: Maybe they're all dementia vaccines (www.microbe.tv)
  92. America Has a New GLP-1 Playbook (www.theatlantic.com)
  93. TWiV 1312: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  94. Immune Booster 26: Immune defense against parasitic worms with Irah King (www.microbe.tv)
  95. TWiV 1311: Jayhawks go viral (www.microbe.tv)
  96. TWiV 1310: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  97. Immune102: Living longer without B cells (www.microbe.tv)
  98. Pacific island energy supply (freerangestats.info)
  99. TWiV 1309: Maybe they're all cancer vaccines (www.microbe.tv)
  100. TWiV 1308: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  101. TWiV 1307: My heart breaks for flu (www.microbe.tv)
  102. Pacific island demograpy, the narrative (freerangestats.info)