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 […]
Solved: The Best Bayesian Prior To Use In Every Situation
More Proof Hypothesis Testing Is Wrong & Why The Predictive Method Is The Only Sane Way To Do Statistics
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! . […]
ChatGPT Only Says What It Was Told To Say
We covered this before, but there are indications our All Models chant is not effective, or is not believed. Here is another attempt at showing it is true. So, all together now, […]
Classical Statistics Has Outlived Its Usefulness: Here’s The Fix
A PDF of this article may be downloaded here. This article is a precis of Uncertainty. Opening Act Patient walks into the doctor and says, “Doc, I saw that new ad. The […]
The Great Grand Bluff Of Science
Everybody knows the story of the turtles. The earth is held up by four large elephants, some say, which stand on the shell of an enormous turtle. When asked what the turtle […]
Reality-Based Probability & Statistics: Ending The Tyranny Of Parameters!
Here it is! The one, the only, the peer-reviewed (and therefore true) “Reality-Based Probability & Statistics: Solving the Evidential Crisis” (the link is to the pdf, which is 11 MB; there are […]
An Argument Against The Multiverse
The multiverse might be real. God might in His wisdom and love of completeness and true diversity and the joy of filling all possible potentials with actuality might have created such a […]
Hung Jury: The Verdict On Uncertainty
This invited paper (which I forgot to post!) appeared in the festschrift for Hung T. Nguyen, previously at New Mexico State University and now at Chiang Mai University, to celebrate his entry […]
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