December 20' 2020

When you remove the first four months of testing deaths and cases and then divide total deaths into cases you get a corrected mortality rate of 1.2%
This article from June 27th has the numbers from the John Hopkins University for said date. Subtract the cases in the article from today's total cases. Then subtract the deaths from the article from today's total deaths.
Today's total case 17,391,270
June 27th total 2,500,419
= 15,290,851

Today's total death 312,636
June 27th total death 125,434
= 187,202

187,202÷15,290,851
=0.0122427457

Move the decimal two places to the right
= 1.2%
The reason we remove the first four months from the equation is, its tainted science. The only people getting tested back then was the VERY sickest of the public and the mortality rate was as high as 6%. The June 27th article has a mortality rate of 5%
125,434÷2,500,419
= 5.0%
This isn't math magic, you can easily look up any old article and use the numbers that they would have got from the CDC and do the same formula and you'll get a corrected mortality rate.
When the CNN link opens scroll down to the article pictured.
One could argue that the cases is actually 1.5 or 2 times what it is today. How many people had the virus and didn't get tested? That would make the mortality rate less then 1%. In other words this is all optics all 10 months long has been one big lie.
Total cases 15,290,851×1.5
=22,936,276.5

187,202÷22,936,276.5
=0.0081618305

0.8% mortality rate

Total cases 15,290,851×2
=30,581,702

187,202÷30,581,702
=0.0061213728

0.6% mortality rate.
And because the math isn't scary anymore they're now pushing a "new mutated" virus to keep the world in fear.
You can follow @PaterfamiliasV.
Tip: mention @twtextapp on a Twitter thread with the keyword “unroll” to get a link to it.

Latest Threads Unrolled:

By continuing to use the site, you are consenting to the use of cookies as explained in our Cookie Policy to improve your experience.