<s>[INST] $a$ red balls and $b$ blue balls in an urn. Probability when a game lasts forever. In an urn there are $a$ indistinguishable red balls and $b$ indistinguishable blue balls. Every round, you take one ball in random from the urn. If this ball is blue, game over. If this ball is red, you put it back into the urn and put an extra indistinguishable red ball in (so the urn has an extra red ball than before). Let $E_{a,b}$ be the expected number of total rounds of games. 
Suppose we know the total number of balls $N = a+b$ but don't know the exact number of $a,b$. Let $a$ follow an uniform a prioir distribution in set $\{ 1, ..., N-1 \}$. On which round, if you draw a red ball, you have are more than 90% certain that $E_{a,b}$ is infinity? 
I guess the first step would be trying to derive $E_{a,b}$ in some way. $E_{a,b} = \frac{a}{b+a} (E_{a+1,b} + 1) + \frac{b}{a+b}$. Then $(a+b)E_{a,b} = a E_{a+1,b} + a + b$, so $E_{a+1,b} = \frac{a+b}{a}E_{a,b} - \frac{a+b}{a}$. Obviously $E_{0,b} = 1$, but this looks wrong.. 
 [/INST] This calculation of $E_{a,b}$ will get you started. On the $n-$th round, the urn contins $a+n-1$ red balls and $b$ blue balls. The probability that the $n-$ th round is the last is $\frac{b}{a+b+n-1}$. The only way of playing the $n-$th round is by surviving all the previous rounds.Thus the probability that the game ends in exactly $n$ rounds is 
$$E_{a,b}=\frac{a}{a+b}.\frac{a+1}{a+b+1}...\frac{a+n-2}{a+b+n-2}.\frac{b}{a+b+n-1}$$ $$=\frac{(a+n-2)!(a+b-1)!b}{(a-1)!(a+b+n-1)!}$$The expected number of rounds is $$\sum_{n=1}^{\infty}\frac{(a+n-2)!(a+b-1)!bn}{(a-1)!(a+b+n-1)!}$$ $$=\frac{b(a+b-1)!}{(a-1)!}\sum_{n=1}^{\infty}\frac{(a+n-2)!n}{(a+b+n-1)!}$$
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