Read Our Intellects Are Not Computers: The Abacus As Brain Part I first. Machines can learn, all right. But they can’t learn like us. Machines cannot apprehend universals, ideas of truth and […]
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 […]
A Deep Philosophical Account Of Probability
Another review of Uncertainty: The Soul of Modeling, Probability & Statistics, this one taken from an Amazon customer. It was 7 or 8 years ago when I was sitting in my office […]
Statistical Models CANNOT Show Cause, But EVERYBODY Thinks They Can. Hence the Replication CRISIS
Please pass this on to ANY researcher who uses statistics. Pretty please. With sugar on top. Like I say below, it’s far far far far far past time to cease using statistics […]
Vatican Analyzes The Difference Between Humans And Robots
Soon a robot will ask you if you want fries with that. Computer screens already do, in some locales. How does that make you feel? Hungry? That could be taken more than […]
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 […]
Science Confirms Astrology! Plus, Machine Learning, Big Data, And Causes
Health signs The alternate title to today’s post, suggested by reader Kip Hansen, is “Data scientists find connections between birth month and health“. Don’t scoff. We’re talking peer review and wee p-values, […]
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