If you get non-deterministic output from a black box, and know that there's both an indeterminate amount of constant random noise in the output AND you do not h

If you get non-deterministic output from a black box, and know that there's both an indeterminate amount of constant random noise in the output AND you do not have any insight into the actual changes being made in the black box... There's nothing to infer with any greater accuracy than the unknown amount of noise in each sample. So, all inference is of unknown accuracy. Also known as useless.