• Sure, so now there are two bags:

1) 1000000 white balls and 10 black balls, numbered 1-10.

2) 5 black balls, numbered 1-5.

And now the question is: Bob drew a ball from a bag. Which is more likely?

1) It was a black ball with a number between 1 and 5.

2) It was a black ball with a number between 1 and 10.

~~~

I considered submitting the above as my full response, but here is another approach.

You seem to be substituting a question about the process of choosing for the original question, which was about outcomes. An example where your approach would actually be correct:

“We know that Alice has access to two lists online: an exhaustive list of mathematicians, and an exhaustive list of mathematician-plumbers. We know that Alice invited Bob over for dinner by choosing him from one of those two lists. We know that, by complete coincidence, Alice’s toilet broke while Bob was over. We know that Bob successfully fixed Alice’s toilet. Which list did Alice originally choose Bob from?”

In that case, it’s likely that the Bayesian calculation will say she probably used the Mathematician-Plumber list.

But notice that last question is different from the question of “which of the online lists is Bob most likely to be on?” We know that the answer to that is the Mathematicians list, because he has a 100% chance of being on that list, where he only has a high-probability chance of being on the Mathematician-Plumbers list.

• Yes, but you see now, with enought details added, second question doesn`t seem to make a lot of sense. “Which” in the question implies that Bob is just on one of the lists, but most likely he isn’t. That being said, natural language does not correspond 1:1 to math or statistics. Some ambiguities are expected and a lot of sentences are up for interpretation. Now who is to say that second question you prodived is the correct way to interpret the original problem, and first one is not? First is at least coherent, while second is condradicting itself.