MORE EVIDENCE SHOWS TOTAL TOP 10 USA DEATHS IN 2020 ARE NOT SIGNIFICANT COMPARED TO PRIOR YEARS

 Submitted by: Terry Payne

MORE EVIDENCE SHOWS TOTAL TOP 10 USA DEATHS IN 2020 ARE NOT SIGNIFICANT COMPARED TO PRIOR YEARS

URL: https://www.cdc.gov/nchs/fastats/deaths.htm

URL: https://twitter.com/drdavidsamadi

URL: https://usafacts.org/data/

URL: https://www.worldometers.info/coronavirus/country/us/

URL: https://drive.google.com/file/d/1Tnb1a8TXHj_jJCM2BDfGSriUgdn-2gec/view

 

2016 Number of USA top 10 deaths: 2,744,248

 

2017 Number of USA top 10 deaths: 2,813,503

 

2018 Number of USA top 10 deaths: 2,839,205

 

2019 Number of USA top 10 deaths: 2,900,000

 

2020 Number of USA top 10 deaths: 2,520,269 (Effective November 1, 2020)-including COVID-19

 

CDC Life expectancy: 78.7 years

CDC Covid-19 average age of death: 78 years

CDC Infant Mortality rate: 5.66 deaths per 1,000 live births

This year will go down in history as a year to be remembered for many reasons, one of them being the coronavirus that has affected vulnerable populations in our country.
 

If you listen to the media, this virus has added hundreds of thousands of excess deaths this year that otherwise would have been alive.
 

But in reality, when you look at the actual annual numbers nothing is different after adjustments in increased population and falls within standard deviation statistical numbers.
 

— DR. DAVID SAMADI, MD (@DRDAVIDSAMADI) DECEMBER 13, 2020
 

The total mortality rates in the USA in 2020 are not signficantly different compared to previous years. There is no massive spike due to COVID as reported by a John Hopkins University article which was removed by John Hopkins’ administrators because it supported policies that conflicted with the leftist medical team-not as reported because the study was improperly conducted!
 

Panic has resulted in the wake of recommendations by both the World Health Organization (WHO) and the Center for Disease Prevention and Control (CDC) to shut down the economy because of reports that 300,000 Americans have died from COVID. Just recently, the CDC quietly corrected itself that only 9,210 Americans have actually died from Covid 19 and the others died from other comorbid diseases like influenza and pneumonia that closely resemble COVID. The PRC test, which is the “Gold standard” for COVID-19 case data, does not 100% distinguish between coronavirus, influenza and some bacterial infections. The CDC also revealed in their latest numbers that hospitals have been counting patients who died from serious preexisting conditions as COVID-19 deaths.

 

The most common test for COVID-19 is the “Polymerase Chain Reaction” (PCR) test, which is able to replicate DNA sequences billions of times. This test has SERIOUS problems. The PCR test was developed as a manufacturing technique, not as a diagnostic tool, and it is qualitative not quantitative.
 

“What exactly does that mean?”
 

This means that the PCR test can only tell you if a virus is present or not, but it cannot tell you in what quantities. Most importantly it cannot make any accurate assessment about whether the virus is actually causing the disease. Even the CDC itself admits that a positive PCR test does not mean the virus is causing the symptoms you may have!
 

These are the actual words of the CDC:
 

“Positive [test] results are indicative of active infection with 2019-nCoV but do not rule out bacterial infection or co-infection with other viruses. The agent detected may not be the definite cause of disease. … Negative results do not preclude 2019-nCoV infection and should not be used as the sole basis for treatment or other patient management decisions. Negative results must be combined with clinical observations, patient history, and epidemiological information.”
 

What? Huh?
 

If the scientific “gold standard” COVID-19 test (the PCR) doesn’t even provide proof that the virus causes the disease, why is everyone rushing around like a headless chicken? The PCR test doesn’t identify or isolate viruses, doesn’t provide RNA sequences of pathogens, offers no baseline for comparison with patient samples, and cannot determine an infected from an uninfected sample. That is staggeringly useless and scientifically meaningless!
 

The reality is that we have no idea how many people actually have COVID-19. The CDC cannot “confirm” something for which there is no accurate test.
 

The report from Johns Hopkins stated, (https://drive.google.com/file/d/1Tnb1a8TXHj_jJCM2BDfGSriUgdn-2gec/view)

After retrieving data on the CDC website, Briand compiled a graph representing percentages of total deaths per age category from early February to early September, which includes the period from before COVID-19 was detected in the U.S. to after infection rates soared.
 

Surprisingly, the deaths of older people stayed the same before and after COVID-19. Since COVID-19 mainly affects the elderly, experts expected an increase in the percentage of deaths in older age groups. However, this increase is not seen from the CDC data. In fact, the percentages of deaths among all age groups remain relatively the same…
 

Total USA deaths in 2020 (as of November 1st) for the top 10 types of mortality causes totaled 2.52 million, whereas, in 2018 and 2019, they were 2.8 million and 2.9 million respectively. There is no massive spike that had happened and there is no medical reason to shut down the economy.

 

From one author of the Great Barrington Declaration:-- Dr. Jayanta Bhattacharya--

 

***********************

 

“My final point is about science. When scientists have spoken up against the lockdown policy, there has been enormous pushback: “You’re endangering lives.” Science cannot operate in an environment like that. I don’t know all the answers to COVID; no one does. Science ought to be able to clarify the answers. But science can’t do its job in an environment where anyone who challenges the status quo gets shut down or cancelled."

"To date, the Great Barrington Declaration has been signed by over 43,000 medical and public health scientists and medical practitioners. The Declaration thus does not represent a fringe view within the scientific community. This is a central part of the scientific debate, and it belongs in the debate. Members of the general public can also sign the Declaration online at www.gbdeclaration.org.”

A word about the fake COVID-19 Fatality Rate numbers pushed by the compliant totalitarian MSM and social media fear mongers.

 

In discussing the deadliness of COVID, we need to distinguish COVID cases from COVID infections. A lot of fear and confusion has resulted from failing to understand the difference.

We have heard much this year about the “case fatality rate” of COVID. In early March, the case fatality rate in the U.S. was roughly three percent—nearly three out of every hundred people who were identified as “cases” of COVID in early March died from it. Compare that to today, when the fatality rate of COVID is known to be less than one half of one percent.

In other words, when the World Health Organization said back in early March that three percent of people who get COVID die from it, they were wrong by at least one order of magnitude. The COVID fatality rate is much closer to 0.2 or 0.3 percent. The reason for the highly inaccurate early estimates is simple: in early March, we were not identifying most of the people who had been infected by COVID.

“Case fatality rate” is computed by dividing the number of deaths by the total number of confirmed cases. But to obtain an accurate COVID fatality rate, the number in the denominator should be the number of people who have been infected—the number of people who have actually had the disease—rather than the number of confirmed cases.

In March, only the small fraction of infected people who got sick and went to the hospital were identified as cases. But the majority of people who are infected by COVID have very mild symptoms or no symptoms at all. These people weren’t identified in the early days, which resulted in a highly misleading fatality rate. And that is what drove public policy. Even worse, it continues to sow fear and panic, because the perception of too many people about COVID is frozen in the misleading data from March.

So how do we get an accurate fatality rate? To use a technical term, we test for seroprevalence—in other words, we test to find out how many people have evidence in their bloodstream of having had COVID.

This is easy with some viruses. Anyone who has had chickenpox, for instance, still has that virus living in them—it stays in the body forever. COVID, on the other hand, like other coronaviruses, doesn’t stay in the body. Someone who is infected with COVID and then clears it will be immune from it, but it won’t still be living in them.

What we need to test for, then, are antibodies or other evidence that someone has had COVID. And even antibodies fade over time, so testing for them still results in an underestimate of total infections.

Seroprevalence is what I worked on in the early days of the epidemic. In April, I ran a series of studies, using antibody tests, to see how many people in California’s Santa Clara County, where I live, had been infected. At the time, there were about 1,000 COVID cases that had been identified in the county, but our antibody tests found that 50,000 people had been infected—i.e., there were 50 times more infections than identified cases. This was enormously important, because it meant that the fatality rate was not three percent, but closer to 0.2 percent; not three in 100, but two in 1,000.

When it came out, this Santa Clara study was controversial. But science is like that, and the way science tests controversial studies is to see if they can be replicated. And indeed, there are now 82 similar seroprevalence studies from around the world, and the median result of these 82 studies is a fatality rate of about 0.2 percent—exactly what we found in Santa Clara County.

In some places, of course, the fatality rate was higher: in New York City it was more like 0.5 percent. In other places it was lower: the rate in Idaho was 0.13 percent. What this variation shows is that the fatality rate is not simply a function of how deadly a virus is. It is also a function of who gets infected and of the quality of the health care system. In the early days of the virus, our health care systems managed COVID poorly. Part of this was due to ignorance: we pursued very aggressive treatments, for instance, such as the use of ventilators, that in retrospect might have been counterproductive. And part of it was due to negligence: in some places, we needlessly allowed a lot of people in nursing homes to get infected.

But the bottom line is that the COVID fatality rate is in the neighborhood of 0.2 percent.

Dr. Jayanta Bhattacharya