Some two and a half years ago I posted this article: “An Infinity of Null Hypotheses — Another Anti-P-Value Argument“. The title is unfortunate; or, rather, the subtitle is. It should have […]
Women Are Fat Not Because Donuts But Because “Discrimination”, Wee P-values Confirm
An irreconcilable conflict sets itself up in the minds of academic Experts who deny that race exists while tracking every imaginable metric by race, which they say doesn’t exist, and then announcing […]
The Reason Why Much Science Is Broken: Every Use Of P-Values Is A Logical Fallacy
I made this picture for my talk at the first ever public Broken Science event (videos coming soon): Everybody has heard the saying “correlation doesn’t imply causation.” Taken loosely, it seems wrong, […]
What Can You Replace P-Values & Hypothesis Testing With, Especially When Computing Sample Sizes?
Dr B asks a question about what to do about sample sizes and hypotheses after the scourge of p-values and null hypothesis significance testing are recognized for what they are. Dr B […]
How Do You Know If An Experiment Works? Or, Yet Another Argument Against P-values
Listen to the podcast on YouTube, Bitchute, or Gab. Anon asks questions about models (I added the bold question brackets and the link). Pay attention most closely to [Q2], which is our […]
The Difference In Means & Why P-Values Should Not Be Used — Excerpt From The Lake Michigan Dialogues
“Say, Briggs. Since you’re Statistician to the Stars!, explain to me how I can tell if two means are different in a simple way that even I can understand.” You got two […]
A Doctor Reveals His Wee P
You go into the doc’s office. He’s not looking happy. He’s holding your chart. “Mr Smith, I’m afraid I have some bad news for you.” Give it to me straight, doc. I […]
Undead vs Slimy Science
There is a sharp difference between undead and slimy science. The latter is identified with ease. Take this slice of slime from the paper “Exploring together the emotional impact of the climate […]
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