To me this just looks like a bias-manipulating "unpacking" trick - as you divide larger categories into smaller and smaller subcategories, the probability that people assign to the total category goes up and up.

How do you know the raised estimate with this "trick" is worse than the estimate without?

I could just as easily say, "As you merge smaller categories into larger and larger categories, the probability that people assign to the total category goes down."