bahamagreen said:
Am I asking the same thing as whether a random number selector acting on the closed interval an indefinite number of times would ever select the same number more than once?
That isn't well defined mathematical question. The mathematical theory of probability (which is called measure theory) has no definitions or assumptions that concern whether events that are assigned probabilities actually happen or not. It doesn't have even any assumptions that say you can take random samples.
When people
apply probability theory to a real life problem, they do interpret probabilities as a kind of "tendency" for some "possible" event to actually happen. They assume random samples can be taken and propose specific methods for taking them. However, the question of how mathematics should be applied is not a question that can be settled by mathematics itself. Applications of math involve questions of physics, or economics, or whatever discipline treats the problem at hand.
I know of no physical set up that can take a random sample from a uniform distribution. I know of no physical setup that can take infinitely many samples and stop in a finite time in order to announce a result from doing so. My opinion cannot be confirmed or denied by appealing to probability theory because probability theory says nothing about this.
Probability theory is essentially circular. Probability theory talks about
probabilities. It doesn't say how to interpret them. Using your notation, probability theory says P(A=B)=0 for two independently distributed uniform random variables A,B. Probability theory doesn't say than an event with probability zero can't actually happen - because it doesn't say
anything about possible events actually happening or not. (It wisely avoids the metaphysical complications of defining "possible" and "actual" and formulating axioms about these concepts.)
Probability theory talks about probability spaces and functions (probability measures) defined on sets of outcomes. When people
apply probability theory to specific problems they introduce the concept of possible events actually happening or not. They generally interpret an event that is assigned probability zero to be an event that isn't physically possible. Whether this is correct or not is a matter of physics. It cannot be settled by probability theory.
..."true random" using natural entropy (same as theoretical?)... rather than algorithm...
That doesn't describe a specific physical process. If you describe a specific process then its behavior can be discussed - but that discussion belongs in the physics sections.