Exclusive: It’s ‘Game Over’ for CDC if These Mortality Rates Are True

“Forest fires” exclusive investigation revealed that average weekly deaths and “all-cause excess mortality,” the ultimate test of whether health policies are working against the Covid pandemic, are not declining in elderly people despite nearly a year of mass vaccinations and other Covid responses to policies, such as mask duties and lockdowns.

Although more 99% of the population is elderly reported as “vaccinated” and 87% reported as “fully vaccinated”, the elderly population in the United States died at almost the same ratio as the pre-vaccine phase of the pandemic. In fact, the 65- to 74-year-old population is dying at higher rate.

This finding has far-reaching and profound ramifications for evaluating Covid response policies, such as advocating for universal immunization regardless of risk or natural immunity. As the elderly population is rapidly approaching more than 99% of the “fully vaccinated” population, defining the utility of vaccines in the broader policy picture is an important decision.

The results were corroborated by both the mean weekly deaths by age group and the all-cause mortality (calculated according to the point p). Crucial to all-cause mortality is that it is where the rubber meets the vaccine assessment pathway and the overall Covid policy response. FDA and CDC can broadcast all data game they like when it comes to “Covid related mortality”, but if a population has a vaccination rate of more than 99% and the death rate doesn’t drop, that says a lot about the expected effect of vaccines.

“All-cause mortality is the most important thing to focus on and it’s not there,” said Dr. Jessica Rose comment on vaccine efficacy assessment. “Today, most people focus on reducing the relative risk of vaccines against infections, deaths from COVID-19 hospitalizations. They pay little attention to the absolute risk reduction from COVID. And they completely ignore the absolute all-cause mortality benefit. The funny thing is that we should have noticed these things in the reverse order we listed them. “

“Death from all causes is key,” she added. “If all-cause mortality doesn’t improve then nothing else matters.” Let’s take a look at the findings.

The data will come from the CDC and Our World in Data. We will use these two datasets and invite independent investigators, academics, statisticians, and public health professionals (provided they are intellectually honest) to corroborate the findings. shown by bending the numbers themselves. While this investigation will provide data this author considers best practice, the data is there for the public to discover and the results will speak for themselves. Thus, one can criticize the methodology or evaluate the results, but the data reported is over there.

First we will use CDC data on deaths to provide a baseline mortality picture. This is the most obvious way that most Americans can appreciate this finding. Specifically, there is a dataset called “Weekly Deaths by State and Age”.

The data shows that the average weekly death toll in 2020 compared to 2021 has increased among the 65-74 age group, stayed the same for the 75-84 age group, and decreased for the 85-year-old and older (though not by much) .

The 2021 picture is clearly incomplete and currently reported activities do not include the final two weeks to provide sufficient time for all death certificates to be processed. (That would be June 11, 2021).

It should be noted that the vaccine has Introduced for the first time to the public on January 4, 2020. A 99% vaccination rate in the population 65 years of age and older was recorded as of November 11, 2021. The reported vaccination rate in that population was 97% on October 28. Unless an exogenous variable in this population is unknown, it has been confirmed that vaccines to date have failed to reduce the number of deaths reported weekly. in this at-risk population. Expect that number to drop, but the trend has not changed significantly from 2020 levels.

The CDC itself provides a snapshot of the rough overall numbers by year in its Covid-19 Mortality Overview. It helps to contextualize the divergence with the weekly average, being used for assessment price.

Here is the overall picture for 2020: 311,302 deaths in the age group 65 and older (one can also note the 45-64 age group, as it get a raise in total.)

Then there are the 2021 numbers: 272,905 deaths for the 65-and-over group (the 45-64 age group has actually increased, casting further doubt on the universal vaccination program).

It is an additional important note to deal with how “Tub-related deaths” were reported by US public health authorities in the first place. It has been deliberately labeled by the US media as if they were equivalent to the mortality rate caused by Covid. However, there have been serious questions about this confusion – and current data trends suggest this deceptive reportage.

The average age of Covid-related deaths in 2020 is approx 78 years old, or near lifespan. The CDC further reports that “[T]here are comorbidities or other conditions listed on the death certificate for 95% of all Covid-19 deaths”.

What are these comorbidities? (If you’re wondering what happened to the near-zero seasonal flu deaths reported in 2020, this provides a clue.)

Now, let’s corroborate these findings using excess mortality. All-cause mortality outperforms Covid-related excess mortality because they capture a more complete picture of the impact of Covid response policies, and in particular More specifically, the panacea – all that the “vaccine” has to offer.

Let us start with a brief explanation on why this is from Our World in Data, a project of the University of Oxford. It explains why excess mortality is so important in the Covid response picture.

Excess mortality is a term used in epidemiology and public health to refer to the number of people who die from all causes in a crisis above and above what the authors note, the authors note. we would expect to see under ‘normal’ conditions,” the authors note. what to expect if a pandemic doesn’t happen – an important number that is unknowable but can be estimated in many ways.”

“Excess mortality is measured as the difference between the number of deaths reported for a given week or month (depending on country) for the period 2020–2021 and an estimate of the expected number of deaths. ​in that period if there were no COVID-19 pandemic,” the authors define the term.

Furthermore, Our World in Data analyzes excess mortality by p-score, weighting the data with additional factors.

“The crude excess death count gives us a sense of size, but it is less comparable across countries due to large population differences,” the authors explain. “To be able to better compare countries, we measure excess mortality as a percentage of the difference between reported and expected deaths. This metric is called the P score…”

“For example, if a country has a P-score of 100% in a given week in 2020, that means that the number of deaths that week is 100% higher than – that is, double – the number of deaths. scheduled for that week,” the authors added.

If one subdivides the p score (overweighted mortality) using Our World in Data dataset, it was found that the 65-74 age group increased, the 75-84 group decreased and the 85+ group decreased significantly.

Therefore, this study is not intended to say that mRNA prophylaxis drugs, which have not historically been called “vaccines” because they do not prevent infection or significantly reduce transmission, do not effect for each patient. Covid drugs are being marketed as “vaccines” that may benefit certain groups of people at risk, such as the elderly.

This, however, is a far cry from the vaccine mandates and the general size of all policies being advocated under the failing Public Health Professionals model.


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OPINION: This article contains comments that reflect the opinions of the author.

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