Ch12.8.1: Mathematical Proof - Why "Until Boy" Doesn't Affect Sex Ratio

Overview

It seems intuitive that if every family keeps having children until they get a boy, there would be more boys than girls. But this is mathematically false. Here's the proof.

Setup

Let p be the probability of a boy (≈ 0.507) and q = 1 - p be the probability of a girl (≈ 0.493). Each birth is an independent event.

Expected Values Per Family

Using the geometric distribution, we can calculate the expected number of children per family:

Sex Ratio at Population Level

For N families, the expected totals are:

The sex ratio (boys per 100 females) is:


Sex Ratio = (Total boys / Total girls) × 100
          = (N / (N × q/p)) × 100
          = (p/q) × 100
          = (0.507 / 0.493) × 100
          ≈ 102.84:100

This is exactly the natural sex ratio! The stopping rule doesn't change it.

Intuitive Explanation

Every boy born "cancels out" one family that stops. The girls born before that boy are balanced by the fact that some families will have many girls before getting a boy. The expected number of girls (q/p) perfectly compensates for the fact that we always get exactly one boy.

Mathematically, the ratio of boys to total births is:


P(boy) = E[boys] / E[total] = 1 / (1/p) = p

Which is exactly the natural probability of a boy being born!

Law of Large Numbers

As the population size N grows to infinity, the actual ratio converges to the expected value by the Law of Large Numbers. This is why our simulation with 100 million families shows exactly 103.00:100 — it matches the natural probability almost perfectly.

Conclusion

The "have children until boy" strategy does not affect the sex ratio at birth. The ratio remains at the natural biological ratio of approximately 103:100 male-to-female, regardless of the stopping rule. This is a fundamental result of probability theory and the law of large numbers.