
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 […]
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 […]
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, […]
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 […]
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 […]
“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 […]
We last did third-hand smoking back in 2011. Even then I didn’t think the concept would far. How silly can you get? Pretty silly. Thanks to Dan Hughes we have the peer-reviewed […]
The only thing right about that new Sturgis Biker paper everybody is talking about is the opening quotation from somebody calling himself Smash Mouth (asterisks original): “Now we’re all here together tonight. […]
Contributor William Raynor sets us a task: Hi Matt, …I’d still like to see if you can write a column about what an empirical p-value really is without mentioning the word probability. […]
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