Another thread so soon? This one's going to be about a classic argument, sex determination. There are five methods of sex determination and I'm going to go into depth on my arguments on why I state that sex is able to be determined in all cases. #intersex
The five determination methods in question:
Karyotype, Presenting Genitalia, Gonads, Hormone Production, Internal Reproductive Structures.
XX, XY. The point is, humans can only possibly have either a X and Y in their karyotype. However a Y monosomy isn't possible, at least not survivable anyways. The X also comes before the Y as well, but there's more to this particular determination.
Hopefully karyotype is explained now..
To start we'll go into how there's different types of gonads and it is possible for a body to have two of the types, especially in that 0.02% of intersex people. In that case you classify by which one is functional.
External genitalia is pretty obvious in regards to having a clitoris or a penis. A vagina, or no vagina. However like I said there are some exceptions.
Reproductive structures are what we're referring to when we talk to Mullerian and Wolffian structures.
That said, PMDS would either be marked as both for this or male due to functional Wolffian.
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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
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Oh my Goodness!!!
I might have a panic attack due to excitement!!
Read this thread to the end...I just had an epiphany and my mind is blown. Actually, more than blown. More like OBLITERATED! This is the thing! This is the thing that will blow the entire thing out of the water!
Has this man been concealing his true identity?
Is this man a supposed 'dead' Seal Team Six soldier?
Witness protection to be kept safe until the right moment when all will be revealed?!
Who ELSE is alive that may have faked their death/gone into witness protection?
Were "golden tickets" inside the envelopes??
Are these "golden tickets" going to lead to their ultimate undoing?
Review crumbs on the board re: 'gold'.
#SEALTeam6 Trump re-tweeted this.
I might have a panic attack due to excitement!!
Read this thread to the end...I just had an epiphany and my mind is blown. Actually, more than blown. More like OBLITERATED! This is the thing! This is the thing that will blow the entire thing out of the water!
Tik Tok pic.twitter.com/8X3oMxvncP
— Scotty Mar10 (@Allenma15086871) December 29, 2020
Has this man been concealing his true identity?
Is this man a supposed 'dead' Seal Team Six soldier?
Witness protection to be kept safe until the right moment when all will be revealed?!
Who ELSE is alive that may have faked their death/gone into witness protection?

Were "golden tickets" inside the envelopes??

Are these "golden tickets" going to lead to their ultimate undoing?
Review crumbs on the board re: 'gold'.

#SEALTeam6 Trump re-tweeted this.

Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇
It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.
It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.