  We address overcrowding estimates for the singular values of random iid
matrices, as well as for the eigenvalues of random Wigner matrices. We show
evidence of long range separation under arbitrary perturbation even in matrices
of discrete entry distributions. In many cases our method yields nearly optimal
bounds
