Signal to noise ratio is complicated in most working fields. Reverberation you can control, and also you can control sound. Sound is disaggregated from the natural world. For example, in a movie, they can operate how the sound is controlled. Telephony is the signal of the voice and noise was just “background” noise like static or buzzing. The farther your voice travels, the more it tends to deteriorate. The farther the signal had to go, the worse it gets. You can’t hear someones voice from New York to California.  An example of the signal to noise ratio being a problem is when a child asks a mother “hey can I borrow the car this weekend?” and the mother will respond with “you need to clean your room, do your homework, etc. in order to do that.” In a child’s mind, they are just hear blah blah blah, like static. This is a problem.

Claude Elwood Shannon started using digital communication using “yes” “no” answers. Doesn’t this work in real life? Everything is a yes no answer. One Thing Elwood is most famous for is The Mathematical Theory of Communication. He says “It is important to note that information as understood in information theory has nothing to do with any inherent  meaning in a message.” For him, information was related to uncertainty; the more uncertainty the more information. For example, in English, the “U” following the letter “Q” has no uncertainty and thus contains no information. When googling things, it does not care about meaning. It just searches “trigrams” which are a group of letters by each other to find what you are looking for. I can see his point of view with this and would have to agree with it. If it has no uncertainty it is almost ignored.