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According to new reports, humanity is approaching a herd immunity to COVID-19 due to rising recoveries from the virus. However, mainstream media has been ignoring the recovery numbers. One America’s Kristian Rouz finds out why.

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23 replies
  1. Julio James says:

    Check back with Kern County Ca, Dr. Erickson, his partner and clinic’s. Fauci has been wrong so long ! Is he getting a kickback from somewhere….? So much fake news out there.

  2. goud resarf says:

    Ah. Isn't this a Russian channel. This sounds like a whole pile of crap. Ron Paul out there jerking this for the next stupid thing that will be pushed?

  3. Todd Wasson says:

    All the epidemiologists and disease specialists I've seen on this say we're only at about 5-6% infection, not ~30% like this video claims. That'd put us at about 10% of the way to herd immunity. Meanwhile 500,000 are dead already.
    It's not about scare tactics. It's about reality.

  4. chex313 says:

    Withholding? The numbers are available just by Googling….How can we be approaching herd immunity, when we do not even know if you can become immune. No one has immunity from flu's or colds…They mutate every year and we hope the vaccine works on it for flu. To get to 50% herd immunity you need 150 million US or 3.5 billion world wide folks to test positive for antibodies….A 5 year old could disprove this idiot… Get out the body bags.

  5. Richard Jacobs says:

    Fake news! Herd immunity is not based on the number of cases. Herd immunity is based on the % of society that is immune. If one million Americans have recovered and two million Americans are activity infected, it means that 347 million are still vulnerable. You need between 40-80% (depending on the virus and its theoretical R-naught number) of SOCIETY fully immune to reach herd immunity. Thus the minimum amount of people in the USA that would have to be infected in order to reach herd immunity (based on the low 40%) is 140 million people.Even if we somehow got the death rate down as low as 2%, that would mean around 3 million deaths. If average herd immunity is needed (60% for most viruses), we would have 210 million infected and would suffer at least 4 million deaths.That's over 1% of the nation's population. If you stretch that out throughout the world you get over 4 billion infected and over 93 million deaths. That is what it would take to reach natural herd immunity with an average required % infected and a death rate similar to the Spanish Flu.

  6. Tabac1959 says:

    So-called herd immunity is on-going. Every annual flu season brings novel viruses into the U.S. Some are more severe than others. 

    CDC Flu Season Burden – Death Estimates-All Ages U.S.A.
    2010-2011⇒ 36,656 
    2011-2012⇒ 12,447 
    2012-2013⇒ 42,570 
    2013-2014⇒ 37,930 
    2014-2015⇒ 51,376 
    2015-2016⇒ 22,705 
    2016-2017⇒ 38,230 
    2017-2018⇒ 61,099
    2018-2019⇒ 34,157 

    https://www.cdc.gov/flu/about/burden/past-seasons.html
    https://www.cdc.gov/flu/about/burden/preliminary-in-season-estimates.htm

    The Hong Kong Flu Killed 100,000 Americans, But the Economy Didn’t Shut Down | Larry Elder – May 29, 2020 – 13:21 min:sec 
    https://www.youtube.com/watch?v=oQkQPN_Y20k
    Larry Elder takes a look at two of the other major pandemics in history: the Spanish Flu in 1918 and the Hong Kong Flu of 1968. The response to these other pandemics varied from location to location, but what were the actual results? In comparison, has the response to the current pandemic been appropriate? 
    The Hong Kong flu (also known as 1968 flu pandemic) was a flu pandemic whose outbreak in 1968 and 1969 killed an estimated one to four million people globally. 100,000 died in the U.S. It was caused by an H3N2 strain of the influenza A virus , descended from H2N2
    through antigenic shift , a genetic process in which genes from multiple subtypes re-assorted to form a new virus.

  7. G Double LL says:

    This is wildly inaccurate; that 50-83% number is of the total population, while the recovery rate is in percent of total cases. Please respond if you disagree

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