Earlier quoted context omitted.
A hash function aims to replicate the properties of a truly random function. The probability that a random function does _not_ output 0 given some specific input block is (1 - 1/2^n). Taking each of the possible 2^b input values into account this means that 0 is not an output for any input with probability (1 - 1/2^n)^(2^b) ~ e^(-2^(b-n)). For SHA-256 with n = 256 and b = 512 (one can treat the compression function a…
Your math looks plausible for an ideal cryptographic hash, but wouldn't you first have to prove that SHA-256 actually does behave as if each unique input generates an independent random number?
So what you do is assume it behaves like a random function until proven otherwise, by _some_ property that deviates from this model. (This is not even the case for SHA-256, since neither the hash nor the compression function can be modeled as random oracles (due to length extension and the Davies-Meyer structure), but we can conveniently forget that for the duration of this thread.)
There _are_ some hash functions based on number-theoretic problems where you could reason about such things, but none of those are in common use since they are usually slow and/or require an output unstructured transformation anyway to turn them into proper, rather than just collision-resistant, hash functions.