Nature magazine reports “‘One-size-fits-all’ threshold for P values under fire: Scientists hit back at a proposal to make it tougher to call findings statistically significant.” Researchers are at odds over when to […]
Review! This class is neither frequentist nor Bayesian nor machine learning in theory. It is pure probability, and unlike any other class available. And for the right price! Last time we completed […]
Another version of this article first appeared at Kurland’s site. Scientism, the belief that science can explain everything about the world and ourselves, is a religion, although not formally expressed as such. […]
Back to our Edge series. Sean Carroll says Bayes’s Theorem should be better known. He outlines the theorem in the familiar updating-prior-belief formula. But, as this modified classic article shows, this is […]
Quoting from a post on vampires, “In Bayesian inference, you start with some initial beliefs (called ‘Bayesian priors’ or just ‘priors’), and then you ‘update’ them as you receive new evidence.” This […]
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 […]
Everybody who’s anybody—which makes, as we’ll see, a lot of nobodies—knows the gambler’s fallacy. Gambler watches the roulette wheel come up red six times running and says to himself, “Black is due.” […]
It’s probably gone by now, but for a little while my new book, Uncertainty: The Soul of Modeling, Probability & Statistics, was “#1 New Release in Epistemology” then “#1 New Release in […]
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