When randomlyallocating balls into urns, each urn has an expected balls. As , discrete rounds are 'blurred' into continuous time and the distribution of in an individual bin converges to a Poisson distribution, while as , covariance between two urns' counts is negligible except in extreme cases whose probability is asymptotically negligible.
By Poissonization, the chance of all bins being filled (the coupon collector's problem) is ; if , this becomes , so to have a chance of filling them all (with close to ), the expected number of balls is .