State Estimates are Distribution Approximations

I'm writing this because, even after an entire graduate degree, I only recently fully grasped the usage of covariances and states and state estimation filters. Naturally, I understood that covariance was a measure of uncertainty in your state estimate, where the state estimate was the estimate of the state (not sure how else to word that one), but I had a revelation recently when reading a blog…