News

1. TWiV 1108: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
2. We’re All Reading Wrong (www.theatlantic.com)
3. A New Sweetener Has Joined the Ranks of Aspartame and Stevia (www.theatlantic.com)
4. Whooping cough! How to respond to fatally-flawed papers? An example, in a setting where the fatal flaw is subtle, involving a confounding of time and cohort effects (statmodeling.stat.columbia.edu)
5. Population forecasting for small areas: an example of learning through a social network (statmodeling.stat.columbia.edu)
6. GIST: Gibbs self-tuning for HMC (statmodeling.stat.columbia.edu)
7. For that price he could’ve had 54 Jamaican beef patties or 1/216 of a conference featuring Gray Davis, Grover Norquist, and a rabbi (statmodeling.stat.columbia.edu)
8. Postdoc Opportunity at the HEDCO Institute for Evidence-Based Educational Practice in the College of Education at the University of Oregon (statmodeling.stat.columbia.edu)
9. 6 ways to follow this blog (statmodeling.stat.columbia.edu)
10. What is your superpower? (statmodeling.stat.columbia.edu)
11. Storytelling and Scientific Understanding (my talks with Thomas Basbøll at Johns Hopkins this Friday) (statmodeling.stat.columbia.edu)
12. Decorative statistics and historical records (statmodeling.stat.columbia.edu)
13. Now here’s a tour de force for ya (statmodeling.stat.columbia.edu)
14. TWiV 1107: Uncoating some envelopes (www.microbe.tv)
15. Analogy between (a) model checking in Bayesian statistics, and (b) the self-correcting nature of science. (statmodeling.stat.columbia.edu)
16. TWiV 1106: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
17. The data are on a 1-5 scale, the mean is 4.61, and the standard deviation is 1.64 . . . What’s so wrong about that?? (statmodeling.stat.columbia.edu)
18. Infovis, infographics, and data visualization: My thoughts 12 years later (statmodeling.stat.columbia.edu)
19. The Bone-Marrow-Transplant Revolution (www.theatlantic.com)
20. Women in Menopause Are Getting Short Shrift (www.theatlantic.com)
21. “Close but no cigar” unit tests and bias in MCMC (statmodeling.stat.columbia.edu)
22. Do research articles have to be so one-sided? (statmodeling.stat.columbia.edu)
23. N=43, “a statistically significant 226% improvement,” . . . what could possibly go wrong?? (statmodeling.stat.columbia.edu)
24. No, it’s not “statistically implausible” when results differ between studies, or between different groups within a study. (statmodeling.stat.columbia.edu)
25. What Happens When You’ve Been on Ozempic for 20 Years? (www.theatlantic.com)
26. Simulation to understand two kinds of measurement error in regression (statmodeling.stat.columbia.edu)
27. TWiV 1105: All the T and B in China (www.microbe.tv)
28. Intelligence is whatever machines cannot (yet) do (statmodeling.stat.columbia.edu)
29. Evidence, desire, support (statmodeling.stat.columbia.edu)
30. TWiV 1104: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
31. Chocolate Might Never Be the Same (www.theatlantic.com)
32. Delayed retraction sampling (statmodeling.stat.columbia.edu)
33. How large is that treatment effect, really? (my talk at NYU economics department Thurs 18 Apr 2024, 12:30pm) (statmodeling.stat.columbia.edu)
34. “He had acquired his belief not by honestly earning it in patient investigation, but by stifling his doubts. And although in the end he may have felt so sure about it that he could not think otherwise, yet inasmuch as he had knowingly and willingly worked himself into that frame of mind, he must be held responsible for it.” (statmodeling.stat.columbia.edu)
35. The Sober-Curious Movement Has Reached an Impasse (www.theatlantic.com)
36. Here’s something you should do when beginning a project, and in the middle of a project, and in the end of the project: Clearly specify your goals, and also specify what’s not in your goal set. (statmodeling.stat.columbia.edu)
37. People have needed rituals to turn data into truth for many years. Why would we be surprised if many people now need procedural reforms to work? (statmodeling.stat.columbia.edu)
38. Hey, some good news for a change! (Child psychology and Bayes) (statmodeling.stat.columbia.edu)
39. Almost No One Is Happy With Legal Weed (www.theatlantic.com)
40. Evilicious 3: Face the Music (statmodeling.stat.columbia.edu)
41. TWiV 1103: Jason 'Spike' McLellan (www.microbe.tv)
42. What is the prevalence of bad social science? (statmodeling.stat.columbia.edu)
43. TWiV 1102: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
44. “AI” as shorthand for turning off our brains. (This is not an anti-AI post; it’s a discussion of how we think about AI.) (statmodeling.stat.columbia.edu)
45. There is no golden path to discovery. One of my problems with all the focus on p-hacking, preregistration, harking, etc. is that I fear that it is giving the impression that all will be fine if researchers just avoid “questionable research practices.” And that ain’t the case. (statmodeling.stat.columbia.edu)
46. It’s Ariely time! They had a preregistration but they didn’t follow it. (statmodeling.stat.columbia.edu)
47. Supporting Bayesian modelling workflows with iterative filtering for multiverse analysis (statmodeling.stat.columbia.edu)
48. “Bayesian Workflow: Some Progress and Open Questions” and “Causal Inference as Generalization”: my two upcoming talks at CMU (statmodeling.stat.columbia.edu)
49. The Coming Birth-Control Revolution (www.theatlantic.com)
50. Bad parenting in the news, also, yeah, lots of kids don’t believe in Santa Claus (statmodeling.stat.columbia.edu)
51. “A passionate group of scientists determined to revolutionize the traditional publishing model in academia” (statmodeling.stat.columbia.edu)
52. The Doctor Will Ask About Your Gun Now (www.theatlantic.com)
53. Paper cited by Stanford medical school professor retracted—but even without considering the reasons for retraction, this paper was so bad that it should never have been cited. (statmodeling.stat.columbia.edu)
54. “Randomization in such studies is arguably a negative, in practice, in that it gives apparently ironclad causal identification (not really, given the ultimate goal of generalization), which just gives researchers and outsiders a greater level of overconfidence in the claims.” (statmodeling.stat.columbia.edu)
55. TWiV 1101: It's not over 'til it's Offit (www.microbe.tv)
56. “Andrew, you are skeptical of pretty much all causal claims. But wait, causality rules the world around us, right? Plenty have to be true.” (statmodeling.stat.columbia.edu)
57. TWiV 1100: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
58. Zyn Was 100 Years in the Making (www.theatlantic.com)
59. Every time Tyler Cowen says, “Median voter theorem still underrated! Hail Anthony Downs!”, I’m gonna point him to this paper . . . (statmodeling.stat.columbia.edu)
60. The CDC Is Squandering the Breakthrough RSV Vaccine (www.theatlantic.com)
61. I Just Want a Normal Drink (www.theatlantic.com)
62. Banning the use of common sense in data analysis increases cases of research failure: evidence from Sweden (statmodeling.stat.columbia.edu)
63. Daniel Kahneman Wanted You to Realize How Wrong You Are (www.theatlantic.com)
64. The feel-good open science story versus the preregistration (who do you think wins?) (statmodeling.stat.columbia.edu)
65. Bayesian inference with informative priors is not inherently “subjective” (statmodeling.stat.columbia.edu)
66. Immune 78: Tolerance and tolerating many vaccines (www.microbe.tv)
67. A Drug Half as Good as Ozempic for One-30th the Price (www.theatlantic.com)
68. Philip K. Dick’s character names (statmodeling.stat.columbia.edu)
69. The contrapositive of “Politics and the English Language.” One reason writing is hard: (statmodeling.stat.columbia.edu)
70. Hey! Here’s a study where all the preregistered analyses yielded null results but it was presented in PNAS as being wholly positive. (statmodeling.stat.columbia.edu)
71. TWiV 1099: Volker Lohmann, as persistent as his viruses (www.microbe.tv)
72. Hey—let’s collect all the stupid things that researchers say in order to deflect legitimate criticism (statmodeling.stat.columbia.edu)
73. TWiV 1098: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
74. Jonathan Bailey vs. Stephen Wolfram (statmodeling.stat.columbia.edu)
75. No Parent Can Make Home-Cooked Meals All the Time (www.theatlantic.com)
76. It’s Not the Economy. It’s the Pandemic. (www.theatlantic.com)
77. Why are all these school cheating scandals happening? (statmodeling.stat.columbia.edu)
78. “Whistleblowers always get punished” (statmodeling.stat.columbia.edu)
79. “I was left with an overwhelming feeling that the World Values Survey is simply a vehicle for telling stories about values . . .” (statmodeling.stat.columbia.edu)
80. The Mothers Who Aren’t Waiting to Give Their Children Cystic-Fibrosis Drugs (www.theatlantic.com)
81. DNA Tests Are Uncovering the True Prevalence of Incest (www.theatlantic.com)
82. TWiV 1097: Tiny cells and giant viruses in a castle (www.microbe.tv)
83. TWiV 1096: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
84. The Ozempic Revolution Is Stuck (www.theatlantic.com)
85. The Return of Measles (www.theatlantic.com)
86. TWiV 1095: Monkeys fly and mice exaggerate (www.microbe.tv)
87. TWiV 1094: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
88. Everything Can Be Meat (www.theatlantic.com)
89. The Cystic-Fibrosis Breakthrough That Changed Everything (www.theatlantic.com)
90. Pfizer Couldn’t Pay for Marketing This Good (www.theatlantic.com)
91. The Science Behind Ozempic Was Wrong (www.theatlantic.com)
92. TWiV 1093: Reservoir bats and jumbo phage (www.microbe.tv)
93. TWiV 1092: Clinical update with Dr. Daniel Griffin (www.microbe.tv)
94. Immune 77: Squeezing the most killing out of neutrophils (www.microbe.tv)