2. can fall in love quickly but will fight it all the way
3. the most capable of drama at this stage
4. They are usually suspicious and wouldn't believe anything you tell them
5. They try to control themselves...
Her body count
Part 3
Signs she's had sex with 8 to 19 men°
These women are the most stressful
Their views about love, dating, relationships and sex have been dashed upon the rocks of reality
This leaves them typically angry and cynical about men
Here's how to spot them...
2. can fall in love quickly but will fight it all the way
3. the most capable of drama at this stage
4. They are usually suspicious and wouldn't believe anything you tell them
5. They try to control themselves...
6. Sex for them is purely physical, but she may or may not like this
7. Has sexual preferences
8. She hates the fact that sex doesn't equate to love
They will blame their boyfriend or husband
They feel they've got something to hide and they want to cover it up
The woman with 0 to 2 partners or 3 to 7 don't really bother about covering up their body count
Unless you want to spend your time handling relationship drama and the likes
These women need to work out their issues themselves and acceptance of the world will only come to them with time
They feel bad and they'll make you feel bad too
If that's too much stress, dm me to purchase it at N3000
See my pinned tweet for further info on the book
Bless
More from Sabi Boyz Only ⭕🇳🇬
More from Society
1/ One year of destroyed economies, social isolation & deep social splits calls for an anniversary ⬇️thread ⬇️ to celebrate the RT-qPCR manuscript by Christian Drosten (@c_drosten) & Victor Corman (@vmcorman), submitted on 21st Jan 2020 to @Eurosurveillanc. #UnbiasedScience
2/ Before this very publication, virologists were neither treated like superstars, nor were they considered icons or half-gods. In 2009, Drosten almost succeeded in installing the false premise virology could supersede holistic medical sciences as discussed in this thread.
3/ Drosten is a virologist. He neither has any background in epidemiology, nor has he ever worked in the civil service. He also doesn’t have a background in public health. Yet he and his colleagues affect our daily lives to the level of whom to meet up or how to flush the toilet.
4/ Before January 2020, Drosten and Corman were common virologists at Charité Berlin, whenever they were not involved in economic implications (https://t.co/UTDwG8U7Du). Other than that, they looked at coronaviruses in dromedary calves in the Middle East or Africa. 😍 #cute
5/ Finally in Jan 2020, the published paper laid the theoretical grounds for the current pandemic, the RT-qPCR mass testing-religion, for which he was awarded his second German Federal Cross of Merit (he received the first one in 2005 for developing the SARS-CoV PCR test).
2/ Before this very publication, virologists were neither treated like superstars, nor were they considered icons or half-gods. In 2009, Drosten almost succeeded in installing the false premise virology could supersede holistic medical sciences as discussed in this thread.
3/ Drosten is a virologist. He neither has any background in epidemiology, nor has he ever worked in the civil service. He also doesn’t have a background in public health. Yet he and his colleagues affect our daily lives to the level of whom to meet up or how to flush the toilet.
4/ Before January 2020, Drosten and Corman were common virologists at Charité Berlin, whenever they were not involved in economic implications (https://t.co/UTDwG8U7Du). Other than that, they looked at coronaviruses in dromedary calves in the Middle East or Africa. 😍 #cute
5/ Finally in Jan 2020, the published paper laid the theoretical grounds for the current pandemic, the RT-qPCR mass testing-religion, for which he was awarded his second German Federal Cross of Merit (he received the first one in 2005 for developing the SARS-CoV PCR test).
I've seen many news articles cite that "the UK variant could be the dominant strain by March". This is emphasized by @CDCDirector.
While this will likely to be the case, this should not be an automatic cause for concern. Cases could still remain contained.
Here's how: 🧵
One of @CDCgov's own models has tracked the true decline in cases quite accurately thus far.
Their projection shows that the B.1.1.7 variant will become the dominant variant in March. But interestingly... there's no fourth wave. Cases simply level out:
https://t.co/tDce0MwO61
Just because a variant becomes the dominant strain does not automatically mean we will see a repeat of Fall 2020.
Let's look at UK and South Africa, where cases have been falling for the past month, in unison with the US (albeit with tougher restrictions):
Furthermore, the claim that the "variant is doubling every 10 days" is false. It's the *proportion of the variant* that is doubling every 10 days.
If overall prevalence drops during the studied time period, the true doubling time of the variant is actually much longer 10 days.
Simple example:
Day 0: 10 variant / 100 cases -> 10% variant
Day 10: 15 variant / 75 cases -> 20% variant
Day 20: 20 variant / 50 cases -> 40% variant
1) Proportion of variant doubles every 10 days
2) Doubling time of variant is actually 20 days
3) Total cases still drop by 50%
While this will likely to be the case, this should not be an automatic cause for concern. Cases could still remain contained.
Here's how: 🧵
One of @CDCgov's own models has tracked the true decline in cases quite accurately thus far.
Their projection shows that the B.1.1.7 variant will become the dominant variant in March. But interestingly... there's no fourth wave. Cases simply level out:
https://t.co/tDce0MwO61
Just because a variant becomes the dominant strain does not automatically mean we will see a repeat of Fall 2020.
Let's look at UK and South Africa, where cases have been falling for the past month, in unison with the US (albeit with tougher restrictions):
Furthermore, the claim that the "variant is doubling every 10 days" is false. It's the *proportion of the variant* that is doubling every 10 days.
If overall prevalence drops during the studied time period, the true doubling time of the variant is actually much longer 10 days.
Simple example:
Day 0: 10 variant / 100 cases -> 10% variant
Day 10: 15 variant / 75 cases -> 20% variant
Day 20: 20 variant / 50 cases -> 40% variant
1) Proportion of variant doubles every 10 days
2) Doubling time of variant is actually 20 days
3) Total cases still drop by 50%
