Harmonious Distribution aka Perfection

Today i was thinking about language and music, and i thought that which music is or can be regarded the best music in the world?

In my mind, the one that approaches perfect harmony. But what harmony? Harmonious in what sense? Well, in maths harmony is achieved when x=0, But, when does x=0?. In maths we have the odd and the even numbers, 1 is odd, 2 is even. The first 4 numbers 1+2+3+4=10, which according to Pythagoras it is the perfectly harmonious number. Also observe that in order to reach to the perfect number, the number 10, 2 odd and 2 even numbers are used.

2 odd and 2 even, this i can say is rather interesting. Also the first 10 numbers, which happen to be the basis for all the rest, follow a harmonious distribution, 5 odds and 5 evens make up the whole system. So, Harmony is achieved when x=0, Well, as you have guessed already 5-5=0 In other words we can say that 5 odd and 5 even numbers create all this harmonious system.

One can reflect on that for hours and create various syllogisms, but i just thought, in language which letters represent the odd and which represent the even. How can a language be perfectly harmonious? I would assume that odd are the consonants and even the vowels, don’t know why, but this is how i would classify them. Now, how can a language achieve perfection? Probably, the same way that maths achieve perfection(Number 10 or 0), by using an equal amount of odds and evens. In other words, by using an equal amount of vowels and consonants. I will just baptize it in order to use the term for future reference in the blog or elsewhere: to the Relative Perfection Ratio ω = x/y , where x the amount of vowels, y the amount of consonants and ω represents the Harmonious Distribution of sounds of any given alphabet. When ω= 1, we can say that the Language is perfect. Or when ω1 > ω2, then ω1 is a relatively more perfect language than ω2.

But, lets put that into practice, i will examine the ones that i am more familiar with, the English representing the Latin ω1, and the Greek ω2. Bear in mind, that i will use only the unique letters of the alphabet, i will not include the diphthongs in this particular case, in order to keep it simple. Also, this examination takes place by 2 languages of the same Parent Group, the Greek, in which the alphabet contains vowels. But what happens when we compare it with the Pro-Canaanite Language group, from which Hebrew is derived from, a group which is vowel less. Hm, this is tricky, but i guess that even though vowels are absent from the group in their writing system, they are not absent from the phonetic system, and therefore these, can be taken into account, the a, the e, the i, the o and the u, which are universal phonetic sounds. Or maybe the whole Hypothesis, of the vowels representing the even numbers and the consonants respectively the odd numbers could be flawed, and the separation, can take place some how else. Maybe, but lets see what happens, in my Hypothesis.

The English(Latin) Alphabet is composed of 26 letters, good by now, the number is even just like 10, and it is possible that it can could be formed by 13 vowels and 13 consonants. But is it?

Last time, i checked 6 were the vowels and 20 the consonants, so according to my theory, this language can never achieve the perfection that the math language can.

Therefore,

ω1=x/y<->
ω1=6/20<->

ω1=0.3

What about the Greek?

The Greek alphabet is composed by 24 letters, 7 vowels and 17 consonants.

Hence,

ω2=x/y<->
ω2=7/17<->

ω2=0.41176711~

Conclusions

In words, the Greek Language cannot be perfect either. But what do we conclude from this? First of all ω1 < ω2, which means that ω2(Greek) is relatively more perfect, with a more Harmonious Distribution. Secondly, why does the ω2 equals to an indefinite number? Does it mean something? Propably. And also, maybe this Relative Perfection Ratio explains our “original sin”, our imperfection, our calculating inabilities compared with calculators? Our never Harmonious programming languages, could be the root of the cause.

I will come back to this. Thank you for your time.

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