The post explains the relationship between cosine similarity and concentration ratio for normalized word vectors on high-dimensional spheres. A spherical cap's area ratio to the whole sphere (concentration ratio) reveals why modest cosine similarity values correspond to tiny portions of the sphere, indicating close matches despite counterintuitive high-dimensional geometry.