If you actually read the data, especially the distribution graph in the last image, the conclusion that it draws is "the run-to-run distribution variance is so big that there doesn't seem to be a correlation that can be drawn from this experiment", pretty much every language has similar-ish distribution ranging from ~20 to 34, and Clojure is only the worst because GPT has a tendency to write code that contains a particular byte manipulation mistake that it repeatedly makes, not that GPT is bad at Clojure or anything.
My experiences are of course anecdotal, but if you have some other strong empirical data to show, I'd love to see it.
Yea exactly. The article says there's too much noise to make any conclusion. You made a conclusion that there was a strong signal. Those things are opposites.