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 […]
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, […]
There are a lot of new readers, and many may not yet have heard of the epidemiologist fallacy. Few tools have been as productive at generating The Science. You know The Science. […]
Repeat after me: all models only say what they are told to say. Here it is, right from the hole of Theresa Tam (you recall it was that Canadian official’s bright idea […]
JJ Couey, who hosts a podcast well known to some of you, and friend of the Broken Science Initiative, asked me about the so-called Law of Large Numbers. Jay wonders about sample […]
This is from Gerd Gigerenzer’s “Mindless statistics” in The Journal of Socio-Economics, 33, (2004) 587–606. Have a go before looking at the answers (I’m giving my own, not quoting Gigerenzer). Send this […]
News is that Regime put out a new law, bypassing Congress as usual, in the form of an “executive order”, about “AI”. The new law’s title is “Safe, Secure, and Trustworthy Artificial […]
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, […]
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