We revisit the problem of influencing the sex ratio of a population by subjecting reproduction of each family to some stopping rule. As an easy consequence of the strong law of large numbers, no such modification is possible in the sense that the ratio converges to 1 almost surely, for any stopping rule that is finite almost surely. We proceed to quantify the effects and provide limit distributions for the properly rescaled sex ratio. Besides the total ratio, which is predominantly considered in the pertinent literature, we also analyze the average sex ratio, which may converge to values different from 1. The first part of this note is largely expository, applying classical results and standard methods from the fluctuation theory of random walks. In the second part we apply tail asymptotics for the time at which a random walk hits a one-sided square root boundary, exhibit the differences to the corresponding two-sided problem, and use a limit law related to the empirical dispersion coefficient of a heavy-tailed distribution. Finally, we derive a large deviations result for a special stopping strategy, using saddle point asymptotics.