Mary and Neal play a game. Let $n$ be a perfect square. Neal chooses a subset of size $\sqrt{n}$ from a set of size $n$. Each turn, Mary can choose a subset of any size, and Neal has to say whether the subset contains the subset of size $\sqrt{n}$ that Neal chose. After a polynomial number (in $n$) of such exchanges, Mary has to guess Neal's subset. If she does so, she wins.
Under optimal strategy, can Mary have a probability of at least $1/poly(n)$ of winning the game?
If she asks Neal randomly about subsets of size $\sqrt{n}$, there are $\binom{n}{\sqrt{n}}$ subsets of size $\sqrt{n}$, so the chances that she finds Neal's subset within a polynomial number of exchanges is exponentially low. Maybe she can ask on subsets of greater size, but this shouldn't help either. The question is how this can be made into a formal argument.
Mary can identify the set with certainty in $O(n)$ rounds, thus polynomial.
The strategy is as follows:
Obviously $M_?^{(k+1)}$ always has one element less than $M_?^{(k)}$. Since $M_?^{(0)}=F$ has exactly $n$ elements, $M_?^{(n)}=\emptyset$ and the algorithm ends after exactly $n$ rounds.
Note that the end condition could be changed to "$M_?^{(k)}\cup M_\checkmark^{(k)}$ has exactly $\sqrt{n}$ elements". That is, as soon as you have identified all elements not in $N$, you're obviously finished.
But the algorithm as given above suffices to prove that it takes only a polynomial (indeed, linear) time to identify the subset with certainty.