The calculation proves that the sampling probability is not affected by the order.

Taking the second person as an example, the principle is as follows:

Obviously, the probability that the first person draws the red ball is m \ n;;

When the second person draws cards, there are two situations:

(1) When the first person draws the red ball, the probability that the second person draws the red ball is

M \ N(M- 1)/(N- 1)= M(M- 1)/[N(N- 1)]

(2) In the case that the first person draws a white ball, the probability that the second person draws a red ball is

(N-M)\ N M/(N- 1)= M(N-M)/[N(N- 1)]

So, the probability that the second person draws the red ball is

M(M- 1)/[N(N- 1)]+M(N-M)/[N(N- 1)]

That is, the second person and the first person have the same probability of winning the red ball, in no particular order.

And so on.