Well, you got all the money you will ever need what else is there but recognition
Will the "crises" ever stop?
- Thread starter Legion
- Start date
Well, you got all the money you will ever need what else is there but recognition
Darth Omar
Russian asset
But he can’t advance his major venture [Amazon] with Rays Bills.
You don't think owning the Washington Post offers any other benefits, Anchovies?
Country level analysis of COVID-19 policies
“The authors identified a negative association between the number of days to any lockdown and the total reported cases per million, where a longer time prior to implementation of any lockdown was associated with a lower number of detected cases per million.”
If you're a DEMOCRAT, I'll explain: that means lockdown implementation had no measurable impact on case transmission regardless of timeframe.
https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(20)30244-3/fulltext
“The authors identified a negative association between the number of days to any lockdown and the total reported cases per million, where a longer time prior to implementation of any lockdown was associated with a lower number of detected cases per million.”
If you're a DEMOCRAT, I'll explain: that means lockdown implementation had no measurable impact on case transmission regardless of timeframe.
https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(20)30244-3/fulltext
Do lockdowns save lives? In most cases, the data says no - SCIENCE!
We set out to quantify how many deaths were caused by delayed shutdown orders on a state-by-state basis.
To normalize for an unambiguous comparison of deaths between states at the midpoint of an epidemic, we counted deaths per million population for a fixed 21-day period, measured from when the death rate first hit 1 per million—e.g.,‒three deaths in Iowa or 19 in New York state. A state’s “days to shutdown” was the time after a state crossed the 1 per million threshold until it ordered businesses shut down.
We ran a simple one-variable correlation of deaths per million and days to shutdown, which ranged from minus-10 days (some states shut down before any sign of Covid-19) to 35 days for South Dakota, one of seven states with limited or no shutdown. The correlation coefficient was 5.5%—so low that the engineers I used to employ would have summarized it as “no correlation” and moved on to find the real cause of the problem. (The trendline sloped downward—states that delayed more tended to have lower death rates—but that’s also a meaningless result due to the low correlation coefficient.)
No conclusions can be drawn about the states that sheltered quickly, because their death rates ran the full gamut, from 20 per million in Oregon to 360 in New York. This wide variation means that other variables—like population density or subway use—were more important. Our correlation coefficient for per-capita death rates vs. the population density was 44%.
https://www.wsj.com/articles/do-lockdowns-save-many-lives-is-most-places-the-data-say-no-11587930911
We set out to quantify how many deaths were caused by delayed shutdown orders on a state-by-state basis.
To normalize for an unambiguous comparison of deaths between states at the midpoint of an epidemic, we counted deaths per million population for a fixed 21-day period, measured from when the death rate first hit 1 per million—e.g.,‒three deaths in Iowa or 19 in New York state. A state’s “days to shutdown” was the time after a state crossed the 1 per million threshold until it ordered businesses shut down.
We ran a simple one-variable correlation of deaths per million and days to shutdown, which ranged from minus-10 days (some states shut down before any sign of Covid-19) to 35 days for South Dakota, one of seven states with limited or no shutdown. The correlation coefficient was 5.5%—so low that the engineers I used to employ would have summarized it as “no correlation” and moved on to find the real cause of the problem. (The trendline sloped downward—states that delayed more tended to have lower death rates—but that’s also a meaningless result due to the low correlation coefficient.)
No conclusions can be drawn about the states that sheltered quickly, because their death rates ran the full gamut, from 20 per million in Oregon to 360 in New York. This wide variation means that other variables—like population density or subway use—were more important. Our correlation coefficient for per-capita death rates vs. the population density was 44%.
https://www.wsj.com/articles/do-lockdowns-save-many-lives-is-most-places-the-data-say-no-11587930911
The University of Oxford’s Blavatnik School of Government tracks a range of measures and scores how stringent they’ve been each step of the way.
There’s little correlation between the severity of a nation’s restrictions and whether it managed to curb excess fatalities — a measure that looks at the overall number of deaths compared with normal trends.
The data show that the relative strictness of a country’s containment measures had little bearing.
As one would expect, the countries with the most intense lockdowns look likely to suffer the most economically. What’s not clear yet is how much economic benefit countries with relatively lax curbs really stand to gain, given the integrated and trade-driven nature of the European economy. The export-led Swedish economy is set to shrink 7% this year, its government said on Tuesday. Germany, whose economy was shrinking before the pandemic, is already in recession. These countries may bounce back earlier than others next year, but this is a painful moment for all.
https://www.bloomberg.com/graphics/2020-opinion-coronavirus-europe-lockdown-excess-deaths-recession/
There’s little correlation between the severity of a nation’s restrictions and whether it managed to curb excess fatalities — a measure that looks at the overall number of deaths compared with normal trends.
The data show that the relative strictness of a country’s containment measures had little bearing.
As one would expect, the countries with the most intense lockdowns look likely to suffer the most economically. What’s not clear yet is how much economic benefit countries with relatively lax curbs really stand to gain, given the integrated and trade-driven nature of the European economy. The export-led Swedish economy is set to shrink 7% this year, its government said on Tuesday. Germany, whose economy was shrinking before the pandemic, is already in recession. These countries may bounce back earlier than others next year, but this is a painful moment for all.
https://www.bloomberg.com/graphics/2020-opinion-coronavirus-europe-lockdown-excess-deaths-recession/
“Rapid border closures, full lockdowns, and wide-spread testing were not associated with COVID-19 mortality per million people.”
If you're a DEMOCRAT, I'll explain what the big words mean: There's no evidence that lockdowns and testing saved lives.
https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(20)30208-X/fulltext
If you're a DEMOCRAT, I'll explain what the big words mean: There's no evidence that lockdowns and testing saved lives.
https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(20)30208-X/fulltext
Darth Omar
Russian asset
He reminds me of Sargent Schultz lol.
In a paper published with the National Bureau of Economic Research (NBER), authors Andew Atkeson et al. found that COVID-19 deaths followed a similar pattern “virtually everywhere in the world” and that “Failing to account for this familiar pattern risks overstating the importance of policy mandated NPIs for shaping the progression of this deadly pandemic.”
If you're a DEMOCRAT, that means that government policies have been ineffectual against the Wu Flu.
https://www.nber.org/system/files/working_papers/w27719/w27719.pdf
If you're a DEMOCRAT, that means that government policies have been ineffectual against the Wu Flu.
https://www.nber.org/system/files/working_papers/w27719/w27719.pdf
StoneByStone
It's OK to Be White
#deflection
#deflection
Birds of a feather.
reagansghost
eternal
hopefully, maybe when we stop losing 2-3 thousand people every day, and we don't have 120,000 new cases every day, some ICU beds open up and they aren't bringing in refers for temporary morgues
now back to Fux ya imbecile
As Rahm Emanuel says, the natural instinct of DEMOCRATS in a crisis (no matter how overblown) is to grab power.
Consider the governors of the Big Two Bi-coastal Blue States: Andrew Cuomo of Blue York and Gavin "Twosome" Newsom of Calipornia, the Beholden State.
Both despotic DEMOCRATS wasted no time in seizing the "opportunity to do things" that they thought they "could not do before" and gave themselves plenipotentiary powers a-aplenty posthaste.
What was the result?
Well, Blue York shut down tight, damaging the states' economy (while Cuomo ordered that sick Wu Flu patients join the elderly in nursing homes). The result?
Blue York, with magical mask mandates and large-scale lockdowns in place scored an impressive 80.6 cases per 100,000 residents.
Meanwhile, on the Left Coast, Twosome Newsom's draconian dictatorship earned Calipornia twin titles: #1 in poverty, and # 1 in COVID (97.1 cases per 100,000).
Congrats, 'CRATS!
https://covid.cdc.gov/covid-data-tracker/#cases_casesper100klast7days
Consider the governors of the Big Two Bi-coastal Blue States: Andrew Cuomo of Blue York and Gavin "Twosome" Newsom of Calipornia, the Beholden State.
Both despotic DEMOCRATS wasted no time in seizing the "opportunity to do things" that they thought they "could not do before" and gave themselves plenipotentiary powers a-aplenty posthaste.
What was the result?
Well, Blue York shut down tight, damaging the states' economy (while Cuomo ordered that sick Wu Flu patients join the elderly in nursing homes). The result?
Blue York, with magical mask mandates and large-scale lockdowns in place scored an impressive 80.6 cases per 100,000 residents.
Meanwhile, on the Left Coast, Twosome Newsom's draconian dictatorship earned Calipornia twin titles: #1 in poverty, and # 1 in COVID (97.1 cases per 100,000).
Congrats, 'CRATS!
https://covid.cdc.gov/covid-data-tracker/#cases_casesper100klast7days
Who told you we're "losing 2-3 thousand people every day"?
Who told you we "have 120,000 new cases every day"?
Who told you anyone is "bringing in refers (sic) for temporary morgues"?
AProudLefty
The remora of JPP
Sure sounds like someone you and I both know.
Bezos looks like a Bond villain.
But he's much, much, MUCH more dangerous than any Bond villain...