Originally Posted by

**scarydoor**
I'm not sure what you mean by true randomness. I don't think a random variable can exist without having a statistical distribution. I mean, if we say "it can take any value. It doesn't fit a bell curve or any other random distribution shape" then that seems to me as though the variable will therefore take the uniform distribution. I don't see how a random variable could escape having a distribution.

By true randomness, I had thought of the distinction between the idealised concept of randomness, and the artificial randomness that is usually used in computers to simulate randomness. (Though I read a while ago that computers could, for example, use randomness within the temperature of components, to simulate something close to true randomness, as opposed to simulated randomness, which just appears random)

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