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Please elaborate.It’s becoming obvious.
Former Chief Science Officer for Pfizer Says "Second Wave" Faked on False-Positive COVID Tests, "Pandemic is Over"
In a stunning development, a former Chief Science Officer for the pharmaceutical giant Pfizer says "there is no science to suggest a second wave shouldhubpages.com
Great news. I was exposed and have a Covid test in a couple hours. Sorry guys, looks like I’m very unlikely to die.
Damn, did I just jinx it? This may not age well.
I'm sure @JP will be here shortly to refute everything.
Not sure how people didn't figure this out from the get-go. A virus "so deadly" you need a test to know whether you have it or not... LOL.
Perfectly justifies NY City continuing to limit their bars and restaurants to 25% capacity.
For those over 70
for those over 50, over 70 its more than 500 x more deadly
That’s what, 25x more deadly than the flu?
Is there a link for this?
Honest question, how would the numbers compare if we were testing for influenza the way we are testing for Covid-19? Meaning every one who dies, gets tested.for those over 50, over 70 its more than 500 x more deadly
Honest question, how would the numbers compare if we were testing for influenza the way we are testing for Covid-19? Meaning every one who dies, gets tested.
I'm sure @JP will be here shortly to refute everything.
Wait I thought our health care system was the worst among advanced nations? So confused now.It's also an indication that our health care system is learning improved treatment methods, which is excellent news.
Worse for MOST demographics.
I have a grandson that is 3 days old. If he gets COVID I am not going to give a sh*t what the stats are.
Why do I need to?Why didn't you post all the numbers for each group, i.e., the total number of deaths?
His mortality risk ratio is >60x worse than for flu.
Keep people away from him.
You can speculate all you want on how that would compare to the flu, but that's all it is - speculation.
My son and DIL are doing their best. Personally, I'd like him to stay away from people for the next 80 years or so, but that's probably not practical. 😉
Wait I thought our health care system was the worst among advanced nations? So confused now.
Well, get him rollin' on that "fountain of smart".
We need that. Badly.
Actual rates, from CDCs demographics site:
Covid19
0-4 yrs: 0.04% 1 in 26005-17 yrs: 0.02% 1 in 570018-29 yrs: 0.07% 1 in 150030-39 yrs: 0.23% 1 in 43040-49 yrs: 0.61% 1 in 16450-64 yrs: 2.2% 1 in 4665-74 yrs: 8.1% 1 in 1275-84 yrs: 17.8% 1 in 685+ yrs: 28.5% 1 in 3.5Now, let's go to the scorecards, Jim and compare this to typical flu mortality:
2017-18 FLU
0-4 yrs: 0.0006% 1 in 166,6675-17 yrs: 0.001% 1 in 100,00018-29 yrs: 0.002% 1 in 50,00030-39 yrs: 0.002% 1 in 50,00040-49 yrs: 0.002% 1 in 50,00050-64 yrs: 0.011% 1 in 943465+: 0.1% 1 in 1000
Relative Risk Ratio: Covid Vs 2017-18 Flu:
0-4 yrs: 64x
5-17 yrs: 17.5x
18-29 yrs: 32x
30-39 yrs: 116x
40-49 yrs: 306x
50-64 yrs: 207x
65+: 80-285x
https://covid.cdc.gov/covid-data-tracker/#demographics
https://www.cdc.gov/flu/about/burden/2017-2018.htm
#GoReviewActualDataNotSomeRandomDude'sTweet
Honest question, how would the numbers compare if we were testing for influenza the way we are testing for Covid-19? Meaning every one who dies, gets tested.
That is not the actual mortality data of all infected with the virus.
And the tailgate lots.Now open shit up and let’s occupy Kinnick
if you are old stay the Fock home!’
Does that factor in all the people who contracted COVID-19 and didn't know they even had it so they were never tested. This is the actual number we need.Actual rates, from CDCs demographics site:
Covid19
0-4 yrs: 0.04% 1 in 26005-17 yrs: 0.02% 1 in 570018-29 yrs: 0.07% 1 in 150030-39 yrs: 0.23% 1 in 43040-49 yrs: 0.61% 1 in 16450-64 yrs: 2.2% 1 in 4665-74 yrs: 8.1% 1 in 1275-84 yrs: 17.8% 1 in 685+ yrs: 28.5% 1 in 3.5Now, let's go to the scorecards, Jim and compare this to typical flu mortality:
2017-18 FLU
0-4 yrs: 0.0006% 1 in 166,6675-17 yrs: 0.001% 1 in 100,00018-29 yrs: 0.002% 1 in 50,00030-39 yrs: 0.002% 1 in 50,00040-49 yrs: 0.002% 1 in 50,00050-64 yrs: 0.011% 1 in 943465+: 0.1% 1 in 1000
Relative Risk Ratio: Covid Vs 2017-18 Flu:
0-4 yrs: 64x
5-17 yrs: 17.5x
18-29 yrs: 32x
30-39 yrs: 116x
40-49 yrs: 306x
50-64 yrs: 207x
65+: 80-285x
https://covid.cdc.gov/covid-data-tracker/#demographics
https://www.cdc.gov/flu/about/burden/2017-2018.htm
#GoReviewActualDataNotSomeRandomDude'sTweet