The deaf example now is like asking GPT "What am I pointing at?"
Imagine a legally blind person, they can barely see anything; just general shapes flowing into one another. In front of them is a table onto which you place a number of objects. The objects are close together and small enough such that they merge into one blurred shape for our test person.
Now when you ask the person how many objects are on the table, they won't be able to tell you! But why would that be? After all, all the information is available to them! The photons emitted from the objects hit the retina of the person, the person has a visual interface and they were given all the visual information they need!
Information lies within differentiation, and if the granularity you require is higher than the granularity of your interface, then it won't matter whether or not the information is technically present; you won't be able to access it.
Also the blind person wouldn't confidently answer. A simple "the objects blur together" would be a good answer. I had ChatGPT telling me 5 different answers back to back above.
If the legally blind person never had had good vision or corrective instruments, had never been told that their vision is compromised and had no other avenue (like touch) to disambiguate and learn, then they would tell you the same thing ChatGPT told you. "The objects blur together" implies that there is already an understanding of the objects being separate present.
You can even see this in yourself. If you did not get an education in physics and were asked to describe of how many things a steel cube is made up, you wouldn't answer that you can't tell. You would just say one, because you don't even know that atoms are a thing.
