Estimating the heights of New Yorkers from their scuff marks
Summary
This post demonstrates a playful data-science workflow to estimate human heights from scuff marks on a subway wall using Python and image processing. It measures scale via a 32-inch keypad, computes luminance to quantify wear, and analyzes height distribution with caveats about posture and measurement bias, proposing Bayesian corrections for future work.