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! . […]
What Is A Model? We need to know to test between good and bad science
Listen to the podcast at YouTube, BitChute, and Gab. Before we describe what models are in science, it’s best to know, and to never forget, that all models only say what they […]
Researcher In AI Responds To Criticisms
I received this thoughtful, and may I say highly accurate, email from reader EN, which I include in full below. I removed the age and name to protect EN’s identity. I also […]
Judea Pearl Is Wrong On AI Identifying Causality, But Right That AI Is Nothing But Curve Fitting
Yep I’ve disagreed with Judea Pearl before on causality, and I do so again below; but first some areas of agreement. Some deep agreement at that. Pearl has a new book out […]
Every Result Of Unsupervised Learning Is Correct; Or, All Learning Is Supervised
The real point I wish to make is that there is no such thing as unsupervised learning; or, stated another way, Truth exists; or, stated another way, every solution to an unsupervised […]
The Great Day Is Here! Uncertainty Meets The World
The Great Day—the Day yearned for by all humanity, or at least weakly anticipated by you, Dear Reader—has arrived! Let the trumpet sound and celebration begin! The release of Uncertainty: The Soul […]
Falsifiability Is Not That Useful
False is not True We spoke earlier of falsification and why I didn’t think it was an especially useful criterion. My tweets about it inspired Deborah Mayo, who advocates for the new […]
Uncertainty (#1 New Release in Statistics) Book Page — Here Are The Details. Update!
This isn’t the book page. This is. Or you can buy it here. The page is permanently located at the menu bar at the top of the page, at the far left. […]
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