In an extreme example, consider this algorithm, analogous to the one in the article:
1. Choose a random parent that has exactly two children
2. Announce the gender of _both_ children
3. Ask about the odds that the parent has both a boy and a girl
In this situation, it would be ridiculous to say that the odds calculated at step 3 are still 50/50. Because of step 2, it is either certainly true (100%) or not true (0%) that the parent had both a boy and a girl. Granted, on average with repeated trials, half the time the step-3 value will be 100% and the other half 0%. But still, the step 2 information changes the value at step 3.