Some people in this country are sincerely confused to hear people talk about “white supremacy” in conjunction with politics in America today. At the same time, a lot of people, both openly and in private, have consternation about changing demographics in America.
Let me explain.
More from TheValuesVoter
Note to Trump supporters asking “why do you keep bringing him up?” Easy answer: he won’t shut his lying pie hole.
This is HOW he lost.
Okay, so here is a more complete rundown of how the last three Presidential Elections went down. And some more mythbusting of Trump's lies about the 2020 Election. https://t.co/3M9c79wHop pic.twitter.com/eRNRKQZzzB
— TheValuesVoter (@TheValuesVoter) May 1, 2021
And this is HOW he lost.
He lost a lot of the white voters, college educated voters and independents who supported him in 2016.
So here, in charts and tables, are the exit polls for the five states that flipped in the 2020 election.
— TheValuesVoter (@TheValuesVoter) May 15, 2021
Arizona - the trend of the state (clearly trending toward the Dems after 2012) and the groups Trump improved/declined with between 2016, when he won and 2020, when he lost. pic.twitter.com/ZxUXyui83R
In 2016, Donald Trump won Independents in every one of the six states that he flipped from blue to red.
In 2020, Donald Trump lost Independents in every one of the five states that Joe Biden flipped from red to blue.
Is it somehow strange that Trump lost the election? No. It would have been much stranger had Trump managed to win the election.
No one as consistently unpopular as him has ever been re-elected. Like ever.

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- respirator (dubbed "pig snouts" in Cantonese)
- helmet
- eye mask
- heat-proof gloves
- water bottle
- cling wrap
- saline
- traffic cones
- pots and pans
Demonstrators find creative methods to battle police tear gas
https://t.co/kPeUTu9iFh

AFP graphic charting Hong Kong's main socio-economic indicators and opinion polls on press freedom and government performance
@AFPgraphics

AFP graphic showing the main equipment used by hardcore pro-democracy protesters in Hong Kong to battle police tear gas, pepper spray and rubber bullets
@AFPgraphics

Frontline first aid.
Nurses, doctors, medical students and ordinary citizens with first aid training have clamoured to join a small volunteer corps helping treat people involved in the Hong Kong protests
@AFP's Yan Zhao reports: https://t.co/uDfYkMeZJf
📸 Anthony Wallace

Pro-democracy activists kick off three days of rallies at Hong Kong airport.
Protesters hope to win international support from arriving passengers. The last demonstration at the airport on July 26 passed off peacefully without causing flight disruptions
https://t.co/jmVqtEd4M2

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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1. IQ is one of the most heritable psychological traits – that is, individual differences in IQ are strongly associated with individual differences in genes (at least in fairly typical modern environments). https://t.co/3XxzW9bxLE

2. The heritability of IQ *increases* from childhood to adulthood. Meanwhile, the effect of the shared environment largely fades away. In other words, when it comes to IQ, nature becomes more important as we get older, nurture less. https://t.co/UqtS1lpw3n

3. IQ scores have been increasing for the last century or so, a phenomenon known as the Flynn effect. https://t.co/sCZvCst3hw (N ≈ 4 million)
(Note that the Flynn effect shows that IQ isn't 100% genetic; it doesn't show that it's 100% environmental.)

4. IQ predicts many important real world outcomes.
For example, though far from perfect, IQ is the single-best predictor of job performance we have – much better than Emotional Intelligence, the Big Five, Grit, etc. https://t.co/rKUgKDAAVx https://t.co/DWbVI8QSU3

5. Higher IQ is associated with a lower risk of death from most causes, including cardiovascular disease, respiratory disease, most forms of cancer, homicide, suicide, and accident. https://t.co/PJjGNyeQRA (N = 728,160)
