2. She hardly takes charge in the relationship, she let's you be in charge
3. She doesn't doubt or suspect you of anything
4. She usually believes everything you tell her
5. She can often times be shy and reserved
Her body count
Part 1
Signs that she's only had sex with 0 to 2 men°
These girls are sweet and trusting with men they're already having sex with
They're playing love on beginner level
The emotions she feels are strong
Here is how you know she has only had sex with 0 to 2 men
2. She hardly takes charge in the relationship, she let's you be in charge
3. She doesn't doubt or suspect you of anything
4. She usually believes everything you tell her
5. She can often times be shy and reserved
7. She can be conservative and unwilling to try out new things
8. She feels like sex is naughty but exciting
9. She will have some sexual inhibitions
10. She believes that Love = Sex
They are usually devoted to their man and think he's God sent... Usually
There's some fear mixed in too, what if she loses him? Will she never find another guy like him again?
They can be absolute angels, especially to enlightened alphas
NCA's may hurt them, while pussies may confuse them
All in all, they're beautiful to be around with when you Sabi
If that's too much stress, dm me to purchase it at N3000
See my pinned tweet for further info on the book
Bless
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More from Society
global health policy in 2020 has centered around NPI's (non-pharmaceutical interventions) like distancing, masks, school closures
these have been sold as a way to stop infection as though this were science.
this was never true and that fact was known and knowable.
let's look.
above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.
we can see this same relationship between NPI and all cause deaths.
this is devastating to the case for NPI.
clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.
barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.
this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.
there is no science here nor any data. this is the febrile imaginings of discredited modelers.
this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.
everyone got the same R
these have been sold as a way to stop infection as though this were science.
this was never true and that fact was known and knowable.
let's look.
above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.
we can see this same relationship between NPI and all cause deaths.
this is devastating to the case for NPI.
clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.
barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.
this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.
there is no science here nor any data. this is the febrile imaginings of discredited modelers.
this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.
everyone got the same R
this methodology is a little complex, so let me explain what i did.
— el gato malo (@boriquagato) May 30, 2020
a few EU countries provide real day of death data. this lets us plot meaningful curves to show rate of disease change.
what struck me is how similar all the curves were.
everyone got the same shape. pic.twitter.com/bN0hILzoSl
