Wait, I’ve got a solution which satisfies both camps.
Assuming for the sake of argument that @sbob’s approach is valid, he’s asserting (paraphrasing so correct me if I’m wrong) “we know one dog is male, therefore the other is male or female, so the likelihood of the other being male is 50:50 / 1 in 2.” Now.
we know one dog is male, therefore the other is male or female
This bit seems pretty inescapable, yeah? But is it logical to then conclude,
so the likelihood of of the other being male is 50:50 / 1 in 2.
❓
We’ve taken this as a valid conclusion for 15 pages, and it turns out, no, it’s an erroneous logical leap.
We know the other is male or female, sure. But we also know that the probability of pairings are not evenly distributed. From Graham’s spreadsheet we can see demonstrably that the likelihood of a M/F pairing is twice as likely as a M/M pairing.
So even using sbob’s logic, the answer is “we know one dog is male, therefore the other is male or female, with the given distribution the likelihood of the other being male is 33:67 / 1 in 3.”
*mic drop*