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News

  1. TWiV 1177: Going to school for flu (www.microbe.tv)
  2. The true meaning of the alzabo (statmodeling.stat.columbia.edu)
  3. TWiV 1176: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  4. COVID’s End-of-Year Surprise (www.theatlantic.com)
  5. Delicate language for talking about statistical guarantees (statmodeling.stat.columbia.edu)
  6. “Accounting for Nonresponse in Election Polls: Total Margin of Error” (statmodeling.stat.columbia.edu)
  7. America’s Bird-Flu Luck Has Officially Run Out (www.theatlantic.com)
  8. How did the press do on that “black spatula” story? Not so great. (statmodeling.stat.columbia.edu)
  9. He took public funds and falsified his data. Are they gonna make him pay back the $19 million? (statmodeling.stat.columbia.edu)
  10. Applications of (Bayesian) variational inference? (statmodeling.stat.columbia.edu)
  11. Iterative imputation and incoherent Gibbs sampling (statmodeling.stat.columbia.edu)
  12. Has Your Cat Closed Its Rings Today? (www.theatlantic.com)
  13. “The Exceptions: Nancy Hopkins, MIT, and the Fight for Women in Science” (statmodeling.stat.columbia.edu)
  14. The Theory and Practice of Oligarchical Collectivism (statmodeling.stat.columbia.edu)
  15. TWiV 1175: A hitchiker's guide to virology (www.microbe.tv)
  16. The most interesting part of the story is that the publisher went through all these steps of reviewing and revising. If they just want to make money by publishing crap, why bother engaging outside reviewers at all? (statmodeling.stat.columbia.edu)
  17. TWiV 1174: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  18. Death rates by cause of death (freerangestats.info)
  19. “How a simple math error sparked a panic about black plastic kitchen utensils”: Does it matter when an estimate is off by a factor of 10? (statmodeling.stat.columbia.edu)
  20. RFK Jr.’s Testosterone Regimen Is Almost Reasonable (www.theatlantic.com)
  21. The Ozempic Flip-Flop (www.theatlantic.com)
  22. It’s Harvard time, baby: “Kerfuffle” is what you call it when you completely botched your data but you don’t want to change your conclusions. (statmodeling.stat.columbia.edu)
  23. Answering two questions, one about Bayesian post-selection inference and one about prior and posterior predictive checks (statmodeling.stat.columbia.edu)
  24. Why am I willing to bet you $100-1000 there will be a Nobel Prize for Adaptive Experimentation in the next 40 years? (statmodeling.stat.columbia.edu)
  25. Postdoc position at Northwestern on evaluating AI/ML decision support (statmodeling.stat.columbia.edu)
  26. America Can’t Break Its Wellness Habit (www.theatlantic.com)
  27. Bias remaining after adjusting for pre-treatment variables. Also the challenges of learning through experimentation. (statmodeling.stat.columbia.edu)
  28. Ozempic Killed Diet and Exercise (www.theatlantic.com)
  29. Close Reading Archive (statmodeling.stat.columbia.edu)
  30. “I work in a biology lab . . . My PI proposed a statistical test that I think is nonsense. . .” (statmodeling.stat.columbia.edu)
  31. TWiV 1173: Holy Cow! Convergent evolution! (www.microbe.tv)
  32. “Of course, this could conceivably be a case of near unbelievable luck: A flawed analysis based on wrong assumptions gave an unusually large causal effect estimate – but the misguided result just happened to be correct. We can imagine how the research team huddled nervously around the computer terminal biting their nails and silently praying as they executed their updated Stata code, only to erupt in joy and celebration as the results appeared on screen and revealed they were right all along. . . .” (statmodeling.stat.columbia.edu)
  33. TWiV 1172: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  34. New Course: Prediction for (Individualized) Decision-making (statmodeling.stat.columbia.edu)
  35. Gayface Data Replicability Problems (statmodeling.stat.columbia.edu)
  36. Murder Is an Awful Answer for Health-Care Anger (www.theatlantic.com)
  37. The Real Appeal of Raw Milk (www.theatlantic.com)
  38. Michael Clayton in NYC (statmodeling.stat.columbia.edu)
  39. Hey, journalist readers! Does anyone have a contact at NPR? (statmodeling.stat.columbia.edu)
  40. Credit where due to NPR regarding science data fraud, and here’s how they can do even better (statmodeling.stat.columbia.edu)
  41. Bedbugs Could Be More Horrifying Than You Think (www.theatlantic.com)
  42. 4 different meanings of p-value (and how my thinking has changed) (statmodeling.stat.columbia.edu)
  43. RFK Jr. Is in the Wrong Agency (www.theatlantic.com)
  44. The Next Abortion Battlefront (www.theatlantic.com)
  45. Toward a unified theory of bad science and bad scholarship (statmodeling.stat.columbia.edu)
  46. America Stopped Cooking With Tallow for a Reason (www.theatlantic.com)
  47. Understanding p-values: Different interpretations can be thought of not as different “philosophies” but as different forms of averaging. (statmodeling.stat.columbia.edu)
  48. Presidential campaign effects are small. (statmodeling.stat.columbia.edu)
  49. The odd non-spamness of some spam comments (statmodeling.stat.columbia.edu)
  50. It’s Never Too Late to Learn an Instrument (www.theatlantic.com)
  51. TWiV 1171: The born immunity (www.microbe.tv)
  52. Here’s my excuse for using obsolete, sub-optimal, or inadequate statistical methods or using a method irresponsibly. (statmodeling.stat.columbia.edu)
  53. TWiV 1170: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  54. Imagine a Drug That Feels Like Tylenol and Works Like OxyContin (www.theatlantic.com)
  55. Simulating Ponzi schemes (freerangestats.info)
  56. That’s what happens when you try to run the world while excluding 99.8% of the population (statmodeling.stat.columbia.edu)
  57. Why does this guy have 2 gmail accounts? (statmodeling.stat.columbia.edu)
  58. Physics is like Brazil, Statistics is like Chile (statmodeling.stat.columbia.edu)
  59. Immune 86: Where did the SARS-CoV-2 antibodies go? (www.microbe.tv)
  60. Practical issues with calibration for every group and every decision problem (statmodeling.stat.columbia.edu)
  61. “I wonder just what it takes to get people to conclude that a research seam has been mined to the point of exhaustion.” (statmodeling.stat.columbia.edu)
  62. Everyone Agrees Americans Aren’t Healthy (www.theatlantic.com)
  63. Keith O’Rourke’s final published paper: “Statistics as a social activity: Attitudes toward amalgamating evidence” (statmodeling.stat.columbia.edu)
  64. Revenge of the COVID Contrarians (www.theatlantic.com)
  65. Those correction notices, in full. (Yes, it’s possible to directly admit and learn from error.) (statmodeling.stat.columbia.edu)
  66. TWiV 1169: Can anyone hook me up with a duck? (www.microbe.tv)
  67. “Why do medical tests always have error rates?” (statmodeling.stat.columbia.edu)
  68. TWiV 1168: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  69. What genre of writing is AI-generated poetry? (statmodeling.stat.columbia.edu)
  70. Plagiarism searches and post-publication review (statmodeling.stat.columbia.edu)
  71. Andrew Gelman is not the science police because there is no such thing as the science police (statmodeling.stat.columbia.edu)
  72. The Village Voice in the 1960s/70s and blogging in the early 2000s (statmodeling.stat.columbia.edu)
  73. The Cancer Gene More Men Should Test For (www.theatlantic.com)
  74. A Ridiculous, Perfect Way to Make Friends (www.theatlantic.com)
  75. We’re About to Find Out How Much Americans Like Vaccines (www.theatlantic.com)
  76. Your Armpits Are Trying to Tell You Something (www.theatlantic.com)
  77. Here’s How We Know RFK Jr. Is Wrong About Vaccines (www.theatlantic.com)
  78. The Behavioural Insights Team decided to scare people. (statmodeling.stat.columbia.edu)
  79. 5 different reasons why it’s important to include pre-treatment variables when designing and analyzing a randomized experiment (or doing any causal study) (statmodeling.stat.columbia.edu)
  80. What should Yuling include in his course on statistical computing? (statmodeling.stat.columbia.edu)
  81. Anti-immigration attitudes: they didn’t want a bunch of Hungarian refugees coming in the 1950s (statmodeling.stat.columbia.edu)
  82. Stop Looking at Your Therapist (www.theatlantic.com)
  83. TWiV 1167: Virus cloak and entry (www.microbe.tv)
  84. Code it! (patterns in data edition) (statmodeling.stat.columbia.edu)
  85. TWiV 1166: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  86. Calibration for everyone and every decision problem, maybe (statmodeling.stat.columbia.edu)
  87. Design effects for stratified sub-populations (freerangestats.info)
  88. Average predictive comparisons (statmodeling.stat.columbia.edu)
  89. The Sanewashing of RFK Jr. (www.theatlantic.com)
  90. Call for StanCon 2025+ (statmodeling.stat.columbia.edu)
  91. Genetic Discrimination Is Coming for Us All (www.theatlantic.com)
  92. TWiV 1165: What doesn't kill us primes our macrophages (www.microbe.tv)
  93. TWiV 1164: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  94. Regressions where the coefficients are a simplex. (freerangestats.info)
  95. TWiV 1163: Hepadnaviridae in the heartland (www.microbe.tv)
  96. TWiV 1162: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
  97. Immune 85: Immune trade-offs (www.microbe.tv)
  98. TWiV 1161: Baby you can drive my gene (www.microbe.tv)
  99. TWiV 1160: Clinical update with Dr. Daniel Griffin (www.microbe.tv)