At a purely formal level, one could call probability theory the study of measure spaces Ω with total measure one ∑Ω=1, but that would be like calling number theory the study of strings of digits which terminate. At a practical level, the opposite is true…
it is the events and their probabilities that are viewed as being fundamental, with the sample space Ω being [forgotten] as much as possible, and with the random variables and expectations being viewed as derived concepts. …
However, it is possible to … abstract… one step further, and view the algebra of random variables and their expectations as being … foundational …, and ignoring both the presence of the original sample space, the algebra of events, or the probability measure.

