First, commenters at public meetings are unrepresentative of the public along racial, gender, age, and homeownership lines; second, distance to the proposed development predicts commenting behavior, but only among those in opposition; third, commission votes are correlated with commenters’ preferences; finally, the alignment of White commenters (vs. other racial groups) and neighborhood group representatives and the general public (vs. other interest groups) better predict project approvals.
A word for each letter of the alphabet, about climate topics
Which Painting Do You Look Like? Comparing Faces Using Python and OpenCV – Terence Eden’s Blog
(shkspr.mobi)
Eigenvectors, paintings and your face
Crafting denialism with a bit of vizzing and poor stats
Probability theory in Python
Interactive stats about Github repos by language
If humans pick "at random", it's not uniform - how to fix?
An essay on the diversity of visual training sets, and implications
Deep-dive with maths
An emotional essay partly written by GPT , with changeable pieces
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