Two Antibody Studies Suggest 30-80 Times More People Have/Had Coronavirus, Driving Down Death Rates

The numbers matter. When looking at how serious an illness is, the amount of deaths is the number being looked at. But relative to what? One metric is deaths relative to the amount of people infected. Another is relative to the total population where deaths have occurred.


The numbers provided by the media are not telling the real story. There is a lack of proper data to see the reality of the lethality of the infection. For instance, the infected death rate is calculated on the number of dead divided by the total number of infected.

Many governments have openly admitted the causes of death are being attributed to coronavirus, as in someone died by/of/from coronavirus, when in reality that hasn't been determined. If someone has coronavirus, they die with coronavirus, and that's being counted as dying by/of/from coronavirus. In some cases, the death is labeled coronavirus, even if no test has been done. It's simply "assumed" or "possible", yet the death is called a coronavirus death.

That results in inflated death counts. Further, the denominator, the number of infected, is also lower than it really is. In reality, not everyone who has coronavirus is being tested. Plenty of people have or had it, and have/had no symptoms. Plenty have/had mild symptoms and don't go to a hospital. None of these people get tested. They are the majority of people. This virus isn't the world-ending pandemic that it's being portrayed to be. It's like having a more serious flu.

Two new studies have been done to show the numbers of infected should be much larger, by a factor of between 30 and 80. These factors vary depending on the studies carried out in different areas with different sample sizes. Even taking the conservative amount of 30x, it will greatly impact the death rates by reducing them 30 smaller. If you take death rate of 10% of infected, it comes 0.3% instead. 4% becomes 0.13%.

One study was done in Santa Clara county, California, with 3,300 people as the sample size. People were tested for antibodies to see who has or had fought the coronavirus in a random sample of the population.

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. Conclusions 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.

That's right, the actual number of those infected with cornavirus is between 50 and 80 times what it currently is for Santa Clara county, according to this study.

The other study was done in L.A. county was smaller, at 863 people. The results indicated that the amount of people infected are 28 to 55 times larger than the current number of reported infected for L.A. county.

These numbers are small sample sizes. A such, they aren't 100% representative of the larger population, but they give an insight as the the more likely number of infected. The number in the media is way too low, since it's only people who go to the hospital that get tests done, not the whole population. The only way to know the exact death rate is to test the whole population and then you know exactly how many are currently infected to compare to how many died. But that won't likely happen. These studies give us better information about how low the current media numbers are.

How are the numbers being interpreted? Instead of busting through the bullshit numbers of the feardemic scamdemic, officials are saying this "proves" that the virus is so widespread that more people are a danger to infect others.

"These results indicate that many persons may have been unknowingly infected and at risk of transmitting the virus to others,” said Barbara Ferrer, director of the L.A. County Department of Public Health. “These findings underscore the importance of expanded polymerase chain reaction (PCR) testing to diagnose those with infection so they can be isolated and quarantined while also maintaining the broad social distancing interventions.”

Rather than recognize the virus has been spreading more, and that the death rate is lower, comparable to the seasonal flu, not some super-dangerous killer virus, they double down and keep to the narrative. The lockdown needs to stay, and more people need to be isolated and quarantined, because you are infected without knowing it and spreading it to others, even though that has already been happening, and the death rate doesn't match the fear-hype killer-virus narrative. Look at the seasonal flu data from previous years, and you will see this is comparable to a more severe flu. We are being played.

3 columns
2 columns
1 column