THIS IS HUGE: Stanford’s Antibodies Study Wraps Up, Shows Covid-19 Is 50x More Prevalent and 50x Less Deadly Than Believed

Will this be the stake through Covid Rouge's dark, rotten heart? It should be

50 to 85 times more prevalent and correspondingly less deadly. Yes, in fact, this is JUST LIKE A FLU


The heavily anticipated (at least by Anti-Empire) Stanford University antibodies test of a representative population has now concluded. Professor Doctor John Ioannidis reports:

Dr. Jay Bhattacharya has more:

Study abstract:


Addressing COVID-19 is a pressing health and social concern. To date, many epidemic projections and policies addressing COVID-19 have been designed without seroprevalence data to inform epidemic parameters.

We measured the seroprevalence of antibodies to SARS-CoV-2 in Santa Clara County. Methods On 4/3-4/4, 2020, we tested county residents for antibodies to SARS-CoV-2 using a lateral flow immunoassay. Participants were recruited using Facebook ads targeting a representative sample of the county by demographic and geographic characteristics. We report the prevalence of antibodies to SARS-CoV-2 in a sample of 3,330 people, adjusting for zip code, sex, and race/ethnicity. We also adjust for test performance characteristics using 3 different estimates: (i) the test manufacturer’s data, (ii) a sample of 37 positive and 30 negative controls tested at Stanford, and (iii) a combination of both.


The unadjusted prevalence of antibodies to SARS-CoV-2 in Santa Clara County was 1.5% (exact binomial 95CI 1.11-1.97%), and the population-weighted prevalence was 2.81% (95CI 2.24-3.37%).

Under the three scenarios for test performance characteristics, the population prevalence of COVID-19 in Santa Clara ranged from 2.49% (95CI 1.80-3.17%) to 4.16% (2.58-5.70%).

These prevalence estimates represent a range between 48,000 and 81,000 people infected in Santa Clara County by early April, 50-85-fold more than the number of confirmed cases.


The population prevalence of SARS-CoV-2 antibodies in Santa Clara County implies that the infection is much more widespread than indicated by the number of confirmed cases.

Population prevalence estimates can now be used to calibrate epidemic and mortality projections.

  1. SKA99 says

    I always get suspicious when MSM start pushing an agenda like this fake fear mongering of CV19.
    Without a doubt part of it is Bill Gates compulsory vaccination for the world and looks like the sheeple (m)asses are ruthlessly being herded into it :

    Total Digital Control? No Travelling By Airlines Without COVID-19 Immunity Passports?

    Trapped between the competing urgencies of saving lives from COVID-19 and avoiding economic calamity, some government officials (minion Fauci) have mooted “immunity passports” as a way through the impasse

  2. Emmet Sweeney says

    I wouldn’t be surprised if Dr Ioannidis suddenly developed severe depression and hanged himself from his bed-post, like Epstein did.

  3. cechas vodobenikov says

    this has already been established; 99+% of associated deaths in Italy involved those w premorbid conditions or the elderly—to date likely much of the data is unreliable and incomplete. Perhaps in one year after a NATO police state has been established (so far more than 75% of reported cases r found in these nations) the evidence will be available….

  4. stevek9 says

    Unfortunately that percentage is way too low for ‘herd immunity’. With the lockdown slowing down infection in citizens who are not at risk, we are dragging this out. If we had simply protected the at-risk population, we would have had fewer deaths, and this would be almost over.

  5. Maxwell says

    Disseminate this far and wide- NY Covid Statistics:

    By every measure, New York is the aberrant epicenter of the Covid-19 outbreak. So what you find in the New York stats has got to be definitive, but what they’re conclusive about is the very opposite of the hysteria being propagated by the Cuomos & friends.

    The New York data, in fact, show that Covid-19 almost pinpointedly attacks the old, the frail, and the medically vulnerable, not the general population.


    As of 1PM today, the nationwide death count “WITH” Covid-19 was 23,529. And we go full monte with CAPs, quotes, bolds and italics for the reason that it is self-evident the virus per se didn’t kill many or most of these people: It triggered organ and function failures that were already embedded in pre-existing morbidities. And that truth is validated in spades by the New York data. As of this afternoon, New York had reported 10,834 corona deaths or 45% of the national total.

    But when you look at the break-out by age categories and rates relative to population, the numbers are simply stunning:

    · Under 50 years: 642 deaths or 4.9 per 100,000;

    · 50-69 years: 3,174 deaths or 65 per 100,00;

    · 70-79 years: 2,888 deaths or 272 per 100,000;

    · 80 years+: 4,130 deaths or 1,086 per 100,000.

    In short, 18% of all the Covid-19 nationwide deaths crawling across the CNN screen today have been among New Yorkers 80 years and older; and 7,018 or 30% of national deaths and 65% of New York Covid-19 deaths have been among those 70 years and older.


    Indeed, when you look at the next most vulnerable category, the 1.26 million state residents aged 70-79, the story becomes even more compelling. In this age bracket, there have been 2,888 deaths WITH Covid reported as of April 13th, which, as indicated above, represents 272 per 100,000.

    But, not surprisingly, 62%, 45%, 23% and 14% also had hypertension, diabetes, hyperlipidemia and coronary artery disease, respectively. In all, this group had 5,695 comorbidities among the to 10 diseases, which amounts to 2.0 per deceased.

    In sum, 7,018 or 65% of the WITH Covid deaths in New York were 70 years and older and suffered from 13,800 instances of these major underlying illnesses that could have been readily identified by the doctors and health care professionals who treat them.

    Likewise, even the 3,174 deaths among aged 50-69 overwhelmingly involved 4,848 comorbidities, including 2,930 cases of hypertension and diabetes alone.

    Finally, among the 642 deaths under 50 years, there were fully 634 cases of the top 10 morbidities.

    That is to say, there have been virtually no deaths among the disease free population under 50.

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