A friend sent this to me.
"UCLA And Stanford Study Finds That For The Average
50-64 Year Old The Chances Of Dying From COVID-19
Are Just 1 In 19 MILLION... - Now Read That Again"
______
I read it again. Just 1 in 19 MILLION ! My friend doesn't usually include a source of the information. I found it by searching. It was a video prepared by One American News Network. The video talks about 50-64 year olds but makes it sound like it applies to everyone. They don't provide a source and never note that the info was compiled in May which is ancient history for Covid-19.
One American News Network is a conspiracy right wing propoganda site. Read what Wikapedia says about it.
The average American to date has had a roughly 1 in 1,640 chance of dying from Covid-19. I arrive at that ratio by dividing the US population of about 328,000,000 by the total number of Americans who haved died from Covid-19, which is 193,843 on Sep 12, 2020 according to John Hopkins.
I prepared the table below. The first two lines show the OAN "research". They seem to think only 17 people 50-64 people died.
The next two lines are from the CDC. They use their data for ages 55-64. A lot more deaths for a smaller age cohart.
The bottom two lines are for the entire country as of 911
Sep 11, 2020.
The disinformation has been picked up by numerous right wing screwball sites. It is hard to believe they would all put out such terribly incorrect information. You wounder how many people believed this drivel and died because they decided the risk was minimal. The information has been repeated on numerous right wing sites. Some of them are listed on the bottom of this post.
You also wonder about the motivation for putting out such terrible wrong information. Alternatives Include:1. They authors are stupid2. It is Russian disinformation designed to keep the US divided. (OAN has some writers who also write for Sputnik}3. It is right wing propoganda, designed to keep their voters.4, Posting this Clickbate nonsense increases their viewership.5. ??? It really is incomprehensible.
I could find only one fact check on the information.
"Fact Check: 'New' Research Is NOT New, Does NOT Find Average 50- To 64-Year-Olds Have A 1-in-19.1-Million Chance Of Dying From COVID-19"
"Does a 'new' scientific paper definitively show that people aged 50-64 have a 1-in-19.1 million chance of dying from COVID-19? No, this is not true. The paper, which is not new as it was posted June and studies a one-week period in May, has yet to be peer-reviewed and is not to be used to 'guide clinical practice,' according to a warning at the top of the pre-print publication. Also, the research has been updated, dramatically dropping the numbers presented in a widely circulated report. Moreover, the paper is an 'estimation' -- a hypothetical -- that acknowledges its numbers would be baseless if there were spikes in cases, which there has been. The ratio is per person contact, assuming a person only has contact with one other person."
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There is so much disinformation out there that it is impossible to keep up with the lies.
The table below was extracted from the CDC Website
It shows that the older you are the more likely you are to hospitalized and die from Covid-19.
]
The phoney news was picked and reposted by numerous goofy ultra right sites. Some of them below:
Sep 4, 2020 - UCLA, Stanford study finds for average 50-64 year old, chances of dying from COVID-19 are 1 in 19.1M · One America News Network · More ...
You visited this page on 9/13/20.
Sep 4, 2020 - UCLA, Stanford study finds for average 50-64 year old, chances of dying from COVID-19 are 1 in 19.1M. LQ1000. Follow. 6 ...
Sep 4, 2020 - UCLA, Stanford study finds for average 50-64 year old, chances of dying from Covid-19 are 1 in 19.1 million One America News Network.
6 days ago - UCLA, Stanford study: 'For average 50-64-year-old, chances of dying from COVID-19 are 1 in 19.1M'. New study finds chances of contracting or ...
Tabulated data on provisional COVID-19 deaths by age, sex, race and Hispanic ... in addition to the age groups that are routinely included: 0-17, 18-29, 30-49, and 50-64. ... Table 3 shows the types of health conditions and contributing causes ... are by looking at the average number of deaths reported in previous years.
Missing: Stanford | Must include: Stanford
You've visited this page many times. Last visit: 9/13/20
UCLA, Stanford study finds for average 50-64 year old, chances of dying from COVID 19 are 1 in 19.1M. Watch later. Share. Copy link. Info. Shopping.
Sep 4, 2020 - UCLA, Stanford study finds for average 50-64 year old, chances of dying from COVID-19 are 1 in 19.1M. 705,332 views705K views.
8 hours ago - Ucla, Stanford Study Finds For Average 50-64 Year Old, Chances Of Dying From Covid-19 Are 1 In 19.1M.
6 days ago - COVID-19 UPDATE September 6: Good evening, San Antonio. We're now at 47543 (+228) ... UCLA, Stanford study finds for average 50-64 year old, chances of dying from COVID-19 are 1 in 19.1M. 0 replies 0 retweets 0 likes.
6 days ago - UCLA, Stanford study: 'For average 50-64 year old, chances of dying from COVID
UCLA, Stanford study finds for average 50-64 year old, chances of dying from COVID-19 are 1 in 19.1M.
UCLA, Stanford study finds for average 50-64 year old, chances of dying from COVID-19 are 1 in 19.1M · rock_castle, Sep 4, 2020. Replies: 9. Views: 430.
(09-06-2020 08:54 PM)smu89 Wrote: UCLA, Stanford study finds for average 50-
6 days ago - 2 posts - 2 authors
5 days ago - UCLA, Stanford: 1 chance in 19 Million UCLA, Stanford study finds for average 50-64 year old, chances of dying from COVID-19 are 1 in 19.1M
2 days ago - Claim by Kayleigh McEnany (R): Says President Tweety McTreason “never downplayed ... Claim by viral video and OAN: UCLA, Stanford study finds for average 50-64 year old, chances of dying from COVID-19 are 1 in 19.1M.
Sep 6, 2020 - Posts: 13,413. Fredonia, PA. UCLA, Stanford study finds for average 50-64 year old, chances of dying from COVID-19 are 1 in 19.1M ...
A new study from medical researchers at UCLA and Stanford University found the chances of contracting or dying from coronavirus are much lower than ...
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