
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 […]
Kevin Gray is back with another question, this time about priors. His last led to the post “Was Fisher Wrong? Whether Or Not Statistical Models Are Needed.” (The answer was yes and […]
It’s easy to sound more certain than the evidence warrants, especially when using classical parameter-based statistical methods. I’ll show you how. I’ll give you the procedure first, then work through an example […]
Listen to the podcast at YouTube, Bitchute, or Gab. We know all about models by now, do we not, dear readers? A model, also known as a theory, can be made about […]
By moi as well. Paper link. Abstract: The reason probability models are used is to characterize uncertainty in observables. Typically, certainty in the parameters of fitted models based on their parametric posterior […]
Here it is, friends, the one complete universal simple function, the only function you will ever need to fit any—I said any—dataset x. And all it takes is one—I said one—parameter! . […]
Anons emails about experience with bad modeling. These read very like posts you see here daily. Lightly edited to remove personal information, with links by me. The post about the Lancet pollution […]
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, […]
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