Here’s a way of looking at it, that might help rationalise it.
“Out of everyone in the UK who has two children, one of which is a boy who was born on a Tuesday, what’s the probability that a couple picked at random has two sons?” Same question, pretty much, yeah?
Out of our pool, first we eliminate all the people who don’t have one or two sons (along with people who don’t have exactly two children and people who aren’t in the UK). This leaves us with the answer in our original premise – once we’ve knocked out the girls, our probability of getting two boys is one in three.
Now, we eliminate everyone who doesn’t have a son born on a Tuesday. Critically here, the people with two sons have two lottery tickets; they’ve got more chance of staying in our demographic than the people who only have one son, almost double in fact. This evens the odds quite considerably, as you can see in the answer to the Tuesday version of the puzzle – 13/27 is very nearly 1/2.
Regarding this Tuesday example, it’s relatively easy to work out the odds. The problem could easily have said “a boy who was ginger” or “a boy who likes apples” but the odds of that happening are less immediately obvious than “born on Tuesday”.
For any given filtering criteria with a probability of “1 in x”, the answer is going to be “2x-1 out of 4x-1” (I think – I’m making this up as I go along). With a 1-in-1 certainty (eg, if we were to say “…and the son is male”) the probability comes out at 1 in 3, which is what we had in the first place. As the criteria gets more specific, it tends towards 1 in 2. If instead of Tuesday we’d said “born on Christmas Day,” we’d have ended up with 729/1459, which is 1 in 2 to any sensible number of decimal places.
I think.