Pelosi: "The President of the United States incited this insurrection, this armed rebellion, against our common country. He must go. He is a clear and present danger to the nation that we all love."
More from Aaron Rupar
it’s baffling to me that CNN continues to pay Santorum for his terrible opinions
"I wanted to give you a chance to explain yourself, because that's what this show is about."
— Brian Stelter (@brianstelter) May 4, 2021
Tonight @ChrisCuomo asked Rick Santorum about Santorum's widely-condemned comments on Native American culture \u2013 here's the entire clip pic.twitter.com/yXZeIsGnpd
More from Government
Which metric is a better predictor of the severity of the fall surge in US states?
1) Margin of Democrat victory in Nov 2020 election
or
2) % infected through Sep 1, 2020
Can you guess which plot is which?
The left plot is based on the % infected through Sep 1, 2020. You can see that there is very little correlation with the % infected since Sep 1.
However, there is a *strong* correlation when using the margin of Biden's victory (right).
Infections % from https://t.co/WcXlfxv3Ah.
This is the strongest single variable I've seen in being able to explain the severity of this most recent wave in each state.
Not past infections / existing immunity, population density, racial makeup, latitude / weather / humidity, etc.
But political lean.
One can argue that states that lean Democrat are more likely to implement restrictions/mandates.
This is valid, so we test this by using the Government Stringency Index made by @UniofOxford.
We also see a correlation, but it's weaker (R^2=0.36 vs 0.50).
https://t.co/BxBBKwW6ta
To avoid look-ahead bias/confounding variables, here is the same analysis but using 2016 margin of victory as the predictor. Similar results.
This basically says that 2016 election results is a better predictor of the severity of the fall wave than intervention levels in 2020!
1) Margin of Democrat victory in Nov 2020 election
or
2) % infected through Sep 1, 2020
Can you guess which plot is which?
The left plot is based on the % infected through Sep 1, 2020. You can see that there is very little correlation with the % infected since Sep 1.
However, there is a *strong* correlation when using the margin of Biden's victory (right).
Infections % from https://t.co/WcXlfxv3Ah.
This is the strongest single variable I've seen in being able to explain the severity of this most recent wave in each state.
Not past infections / existing immunity, population density, racial makeup, latitude / weather / humidity, etc.
But political lean.
One can argue that states that lean Democrat are more likely to implement restrictions/mandates.
This is valid, so we test this by using the Government Stringency Index made by @UniofOxford.
We also see a correlation, but it's weaker (R^2=0.36 vs 0.50).
https://t.co/BxBBKwW6ta
To avoid look-ahead bias/confounding variables, here is the same analysis but using 2016 margin of victory as the predictor. Similar results.
This basically says that 2016 election results is a better predictor of the severity of the fall wave than intervention levels in 2020!
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Trending news of The Rock's daughter Simone Johnson's announcing her new Stage Name is breaking our Versus tool because "Wrestling Name" isn't in our database!
Here's the most useful #Factualist comparison pages #Thread 🧵
What is the difference between “pseudonym” and “stage name?”
Pseudonym means “a fictitious name (more literally, a false name), as those used by writers and movie stars,” while stage name is “the pseudonym of an entertainer.”
https://t.co/hT5XPkTepy #english #wiki #wikidiff
People also found this comparison helpful:
Alias #versus Stage Name: What’s the difference?
Alias means “another name; an assumed name,” while stage name means “the pseudonym of an entertainer.”
https://t.co/Kf7uVKekMd #Etymology #words
Another common #question:
What is the difference between “alias” and “pseudonym?”
As nouns alias means “another name; an assumed name,” while pseudonym means “a fictitious name (more literally, a false name), as those used by writers and movie
Here is a very basic #comparison: "Name versus Stage Name"
As #nouns, the difference is that name means “any nounal word or phrase which indicates a particular person, place, class, or thing,” but stage name means “the pseudonym of an
Here's the most useful #Factualist comparison pages #Thread 🧵
What is the difference between “pseudonym” and “stage name?”
Pseudonym means “a fictitious name (more literally, a false name), as those used by writers and movie stars,” while stage name is “the pseudonym of an entertainer.”
https://t.co/hT5XPkTepy #english #wiki #wikidiff
People also found this comparison helpful:
Alias #versus Stage Name: What’s the difference?
Alias means “another name; an assumed name,” while stage name means “the pseudonym of an entertainer.”
https://t.co/Kf7uVKekMd #Etymology #words
Another common #question:
What is the difference between “alias” and “pseudonym?”
As nouns alias means “another name; an assumed name,” while pseudonym means “a fictitious name (more literally, a false name), as those used by writers and movie
Here is a very basic #comparison: "Name versus Stage Name"
As #nouns, the difference is that name means “any nounal word or phrase which indicates a particular person, place, class, or thing,” but stage name means “the pseudonym of an
1/12
RT-PCR corona (test) scam
Symptomatic people are tested for one and only one respiratory virus. This means that other acute respiratory infections are reclassified as
2/12
It is tested exquisitely with a hypersensitive non-specific RT-PCR test / Ct >35 (>30 is nonsense, >35 is madness), without considering Ct and clinical context. This means that more acute respiratory infections are reclassified as
3/12
The Drosten RT-PCR test is fabricated in a way that each country and laboratory perform it differently at too high Ct and that the high rate of false positives increases massively due to cross-reaction with other (corona) viruses in the "flu
4/12
Even asymptomatic, previously called healthy, people are tested (en masse) in this way, although there is no epidemiologically relevant asymptomatic transmission. This means that even healthy people are declared as COVID
5/12
Deaths within 28 days after a positive RT-PCR test from whatever cause are designated as deaths WITH COVID. This means that other causes of death are reclassified as
RT-PCR corona (test) scam
Symptomatic people are tested for one and only one respiratory virus. This means that other acute respiratory infections are reclassified as
4/10
— Dr. Thomas Binder, MD (@Thomas_Binder) October 22, 2020
...indication, first of all that testing for a (single) respiratory virus is done outside of surveillance systems or need for specific therapy, but even so the lack of consideration of Ct, symptoms and clinical findings when interpreting its result. https://t.co/gHH6kwRdZG
2/12
It is tested exquisitely with a hypersensitive non-specific RT-PCR test / Ct >35 (>30 is nonsense, >35 is madness), without considering Ct and clinical context. This means that more acute respiratory infections are reclassified as
6/10
— Dr. Thomas Binder, MD (@Thomas_Binder) October 22, 2020
The neither validated nor standardised hypersensitive RT-PCR test / Ct 35-45 for SARS-CoV-2 is abused to mislabel (also) other diseases, especially influenza, as COVID-19.https://t.co/AkFIfTCTkS
3/12
The Drosten RT-PCR test is fabricated in a way that each country and laboratory perform it differently at too high Ct and that the high rate of false positives increases massively due to cross-reaction with other (corona) viruses in the "flu
External peer review of the RTPCR test to detect SARS-CoV-2 reveals 10 major scientific flaws at the molecular and methodological level: consequences for false positive results.https://t.co/mbNY8bdw1p pic.twitter.com/OQBD4grMth
— Dr. Thomas Binder, MD (@Thomas_Binder) November 29, 2020
4/12
Even asymptomatic, previously called healthy, people are tested (en masse) in this way, although there is no epidemiologically relevant asymptomatic transmission. This means that even healthy people are declared as COVID
Thread web\u2b06\ufe0f\u2b07\ufe0f
— Dr. Thomas Binder, MD (@Thomas_Binder) December 16, 2020
The fabrication of the "asymptomatic (super) spreader" is the coronation of the total nons(ci)ense in the belief system of #CoronasWitnesses.
Asymptomatic transmission 0.7%; 95% CI 0%-4.9% - could well be 0%!https://t.co/VeZTzxXfvT
5/12
Deaths within 28 days after a positive RT-PCR test from whatever cause are designated as deaths WITH COVID. This means that other causes of death are reclassified as
8/8
— Dr. Thomas Binder, MD (@Thomas_Binder) March 24, 2020
By the way, who the f*** created this obviously (almost) worldwide definition of #CoronaDeath?
This is not only medical malpractice, this is utterly insane!https://t.co/FFsTx4L2mw
