If you like ML, this is also related with the results of this paper [0], where they show that learning in high dimensions amounts to extrapolation, as opposed to interpolation. Intuitively I think of this as the fact that points in the sphere are convexly independent, and most of the volume of the ball is near the boundary.

[0] https://arxiv.org/abs/2110.09485