How to win a beer with high-dimensional statistics
Summary
A technical blog post by Jamie Simon exploring high-dimensional statistics through embedding spaces, PCA projections, and circulant Gram matrices. The piece showcases an elegant visual (circle in PCA space) and then demonstrates how a seemingly meaningful pattern can be fabricated with a targeted search, raising questions about the reliability of geometric patterns in word embeddings and the need for rigorous constraints in interpretation.