Morton was wrong.
https://en.wikipedia.org/wiki/Samuel_George_Morton
It's great that you found some super specific thing where his wrong answer isn't provably the result of fudging of numbers, but he's still wrong for various reasons. And someone else measured other skulls at roughly same time and came to the correct conclusion that you couldn't really make any such claim based on the data they had.
Gould's point was about inadvertant bias in science and he was correct in this case.
You might be right that Gould was a fraud, however you still have to show that his claim about the fact that intelligence isn’t normally distributed is wrong. In fact the burden of proof is kind of weird here, since assuming a normal distribution is a pretty strong assumption, and rejecting that assumption based on a lack of evidence should be enough. However Gould goes further and cites evidence that intelligence has a pretty skewed distribution.
If you want to reject Gould’s claim here, then do so. Don’t just say he’s a fraud and then assume his wrong about everything.