“In contrast to that, in the bayesian world, we have similar entities that are called random variables that give a different value every time you access it. So if X is a random variable representing the normal distribution, every time you access X, it’ll have a different value”

Thanks for this article. From a purely statistical point of view, your statement above is not entirely correct. Random variable will not always give you a different value. Take for instance flipping a coin. Heads = 1, Tails =0. The value of random variable X could be {1,1,1,1} on say 4 trials. So here we are not getting different values. At best what one can say is that the values of any random variable is more or less unpredictable.