JDubs phero evaluations

[Jdub]

Race code

I’m sharing this quote to assist in explaining the theory I am presenting..

@justintime469

It seems to hit the Hispanic women the hardest by far, and then Indian women second, and white women also just not as much as the other 2. There is not many black women to test on here and in fact have only came across maybe 1-2 in the last month in town.

When I get to it someday I would like to experience with maybe adding some Rone to it(small amount like 2-5MCG) to see how it effects the mix.

@justintime469

I live in the southwest where the main ethnic races are mainly 1. Hispanic 2. White 3. Indian and in that order with very few other races so I am a little limited to what I have.

What is weird is if I keep the same combo but use Ammo 1X 2 sprays instead of the TUTH 1X 2 sprays the order changes and it is 1. White 2. Hispanic 3. Indian and why this is I have no clue.

The Hedione does detract from the Rone in the Ammo, but maybe it is the Nol I have no idea.

I have a theory based on the science of racial influence on pheromones meaning certain racial genetics will cause certain pheromone sigs and certain races will respond better to certain mones. This theory will convert pheromones to a numerical value to be able to calculate pheromone outputs and requirements by means of addition.

With regards to this theory I will only relate to 4 types of women, white, Hispanic, black, and Asian…
And 3 types of pheromones, androstEnone, androsteRone, and AndrosteNol.

This theory will work on a points system where a number 1 will indicate the ‘dominant -mones’, all other mones will not be denoted numerically.

Firstly, the basics..

These females respond best to these dominant mones…

White - eNone, eRone, Anol (balanced)
Hispanic - eNone
Black - eNone
Asian - eRone

So that must mean that their male counterparts must be producers in those..

Now to the math..

I am 50% white, 25% black, 25% Asian.

If we apply a numerical value of 1 to each dominant pheromone per race we can do some addition.

The numerical value will be placed in order from eNone -> eRone -> Anol..
Ex:
A white male would have a numerical value of 1:1:1 because all three pheromones are equally dominant.
A black male would have a numerical ratio of 1 : : .

So now we can do the addition for me as a mixed person.
We take the numerical of a white male “1:1:1”
A black male "1: : ",
And a Asian male " :1: "…

The actual addition:
1:1:1
1: :

• :1:

---

But since it is 50% white and the others are 25%, the white is double the point amount than each of the black and Asian. So the black and Asian would be 0.5 points.

Once added up you get…
1.5:1.5:1

Which means roughly my sig puts out a mix that has an equal amount of eNone and aRone and they are both 50% greater than Anol.

Now when I add my TUTH/TAC (to which I’ll add 1 point to eNone since eNone is the dominant) the equation becomes..

1.5:1.5:1
1: :
+

---

2.5:1.5:1

Now I have noted that this mix works quite well all across the board with races of women but specifically it appears to go
White -> Hispanic -> black -> Asian

Now here’s where I believe it all connects.
As noted in justintime 's quote, when he uses the very same mix he gets the same results except the order of women is different to which he said
Hispanic -> Indian -> white
(We’ll focus on white and Hispanic)

…but when swapping ammo for TUTH he gets the same order as me..

Let’s start with his numerical points. He is white male so roughly 1:1:1
If he adds TUTH/TAC (1 point eNone) it becomes
2:1:1…
But if it were ammo, it would be an extra point for eRone.
Making it…
2:2:1..

Now if we look at the values of the ratios and translate them into pheromones we can see what’s happening.

First, mine was 2.5:1.5:1
Which means it is highly sexual but buffered well with eRone to make it more respectable and serious, and just a touch of lightness with the Anol.
This one would logically make sense to work the best on white women because though it’s highly sexual it is well buffered with eRone. If it wasn’t buffered and it was more sexual it would probably hit the ethnics first.

Now justintime’s was 2:1:1
Which means it is highly sexual but not very buffered and not buffered in one particular direction. The eRone and Anol are about equal and probably just enough to make the eNone manageable.
This one would logically hit the ethnic women first.

Now when justintime swaps the TUTH for the Ammo the ratio becomes.. 2:2:1
This means it isn’t quite highly sexual but is just enough sexual and masculine balance with a tiny bit of lightness to smooth it over.
Logically this would work well for white women first before ethnic.

I want to show and express this numerical system more visually but I don’t know if I can upload a pic here..

Of course the numbers aren’t precise but in theory it works. And age, diet, and lifestyle are factors as well. But for now I’ll leave those out.

I think this can help us calculate mathematically which mones to add in which dosages to work for certain women/men in certain ways..

Now the actual mcgs won’t be calculated by this method, that will take testing, but I still see this as a shortcut to bypass a lot of testing.

In order for the theory to be vindicated, predictions must be made and application must verify the predictions.

Here’s an example prediction:

If a full Asian man wanted to get full benefits from the TUTH TAC combo as I do, he must reach a ‘racial code’ of “2.5:1.5:1”
Theoretically he would start with a :1: base.
So he would need a ratio of 2.5:0.5:1

This could perhaps consist of 2 sprays TUTH, 0.5 spray Ammo, and 1 spray IO. And maybe some TAC to buffer better. When applying the 1 point for the dominant mones.

Now to try and convert micrograms into ‘points’…