# Why the alphabet of the digital information is composed of 2 elements? [duplicate]

I don't understand why we use a dictionary, a lexicon, with just 2 elements to express the entire digital world.

My point is about the fact that information is entropy, things that are predictable or just don't vary over time don't carry any information, so if you want information you want entropy, and if you want entropy why you stick with just 2 elements for your alphabet ? It's like the minimum before making the thing completely "flat" and meaningless like an array full of 0 or Z, an array of 0 and 1 it's just the next step after that .

But the main reason why I don't accept the answers with "electronics in them" is that this kind of studies were based on math and theoretical stuff, Boole wasn't even a regular student, He was a self taught mathematician, and chances are that he was trying to solve or study a practical problem without even caring about electronic devices given the times he was in .

If you also consider the information as a bingo where you can call numbers from 1 to 100, and you can call 1 number for each session, you have 1% of probability to call any number in the range, and this probability doesn't change between sessions . But this doesn't grant you any entropy, it's just probability .

For example if you consider a single char a number in the Bingo and the fact that every char is contributing to a word with its positional value, the fact that the hello word is composed over time by

h
he
hel
hell
hello


with each char having the same probability this consideration, on its own, doesn't give you any entropy.

Things change when you introduce a dictionary of a given language and you associate it with the pool of chars you are fishing from. If you have that dictionary the word hello becomes predictable, and thus with less entropy and more order, by the time you write hel or h or he depending on the context and semantics .

So I guess the answer is that we use binary because no one speaks binary and there is no dictionary of words in binary and the binary is not sensitive to the context and thus retains more entropy ? Because the context plays a big role in lowering the entropy and let things appear more ordered then what they really are, and entropy can be also taught as just something "random" with less order because you don't know what to expect because there is no semantic. And I don't think that the positional value can be considered as a giveaway for semantic, you have the same probability of picking either 0 or 1 in your next cell of information, positional value doesn't change anything.

I'm probably terribly confused and confusing, but why we use binary ?