The Most Complete Measure of Excess Deaths

John Beaudoin, Sr. may have the most complete and reliable data on excess deaths, at least for Massachusetts. I recently heard his interview with SuperSpreaders. The talk lasted almost three hours. So I decided to condense the topic and share it here.

John is an electrical engineer and has an MBA. He was in law school but got kicked out when he refused the COVID jab. They did not return his money. That is why he sued the law school and the state of Massachusetts for mandating the shots.

To prove his case, John needed evidence to show that COVID-19 is not dangerous enough to mandate a vaccine. He also wanted to raise the issue that the shots are more hazardous than the disease it is supposed to protect.

He used the Freedom of Information Act (FOIA) to get the entire death certificate database from the health department from 2015 to August 2022. The data contains the age, sex, date, cause of death, and, most importantly, their ICD-10 codes.

The ICD-10 is the latest iteration of the International Classification of Disease. The codes are the numerical equivalent of diseases used to standardize the names of diseases. It is used internationally by hospitals, health monitoring institutions, and insurance companies.

John’s raw data method cuts out the data manipulation and biases the CDC. Typically, the CDC will hand out reports like the Mortality and Morbidity Weekly Report and Deaths and Mortality, where the conclusions are already made up for the reader.

The problem is that the CDC‘s conclusions are often inconsistent with the data. I have seen it many times when I look at its reports.

In contrast, John used the raw data, organized them by year, age, and ICD-10 codes, and looked for patterns.

What John found

COVID-19 deaths

The COVID-19 pandemic started in December 2019 in Wuhan, China, and spread to the world in 2020, and the COVID injections began in 2021.

It has always been reported that the rise in COVID-19 deaths was continuous throughout the pandemic. John’s findings differ.

In Massachusetts, the excess mortality in 2020 lasted for only nine weeks. You can see that as the black line in the two graphs below.

Comment: I tend to agree with that. At the beginning of the pandemic, Laboratory confirmation is one criterion to have a diagnosis of COVID-19.

Laboratory Criteria

Laboratory evidence using a method approved or authorized by the U.S. Food and Drug Administration (FDA)³ or designated authority*:

Confirmatory** laboratory evidence:

Detection of SARS-CoV-2 ribonucleic acid (RNA) in a post-mortem respiratory swab or clinical specimen using a diagnostic molecular amplification test performed by a Clinical Laboratory Improvement Amendments (CLIA)-certified provider, OR

Detection of SARS-CoV-2 by genomic sequencing***.

Presumptive** laboratory evidence:

Detection of SARS-CoV-2 specific antigen in a post-mortem obtained respiratory swab or clinical specimen using a diagnostic test performed by a CLIA-certified provider.

Source: Coronavirus Disease 2019 (COVID-19) 2021 Case Definition

An example is a man who had a motorcycle crash, tested positive for COVID, and died. That death was counted as COVID death. At that time, all hospital patients were tested for SARS-CoV-2. No matter what the chief complaint is.

Another reason is the high PCR cycle threshold, leading to 97% false positives.

Excess COVID deaths only during Q2 of 2020

Below are bar graphs that separate the COVID deaths per year (2014-2022) and by quarter for Massachusetts.

Death comparisons by quarters of each year account for seasonal differences. i.e., more viral infections in fall and winter and fewer in summer.

The second quarter of 2020 reflects the nine weeks of excess deaths during the pandemic. There is none in Q1, Q3, and a “wee bit” in Q4.

Figure 2. Source: https://viaveravita.com/covid-19-graphs

The same is for New York State. New York City was heavily hit by COVID-19. More so when Governor Cuomo ordered that patients with COVID-19 should be discharged from the hospital back to the nursing homes, which resulted in an increase in COVID cases among the residents and nursing home workers!

Another result of this criminal order is that some nursing home workers were so afraid to catch the virus that most patients did not get help. And since visitors were not allowed, nobody was there to advocate for the elderly.

You can see that the steep rise in all-cause mortality in New York State, presumably due to COVID occurred only during Q2.

Figure 3. Source: https://viaveravita.com/covid-19-graphs

Here is a startling revelation from the data, the total number of all-cause mortality, COVID, and pneumonia are lower for 2021 and 2022 after the Vexine was introduced. (Vexine was used to bypass Twitter’s censors.)

At first, that is not very clear to me. Isn’t this about excess deaths? How can there be excess deaths if the all-cause mortality is lower?

The>65 age group died the most during those nine weeks in Q2 or 2020. This is the same group that has a higher death rate every year. And since a large number of them died in 2020, there were fewer who could die in 2021 and 2022. As John said, “You can only die once.”

Figure 5 shows the thousands of 65 years and over who died due to COVID in 2020. especially the 85+. Those are the ones with the risk factors like diabetes, obesity, and heart disease. Compare that to the less than 65 who number in the hundreds.

In 2021 and 2022, since most of the at-risk elderly have already died, the numbers of deaths were lower.

So, where are the excess deaths?

Simpsons Paradox

Simpson’s paradox explains the discrepancy. The Stanford Encyclopedia of Philosophy defines it as

Simpson’s Paradox is a statistical phenomenon where an association between two variables in a population emerges, disappears or reverses when the population is divided into subpopulations.

The paradox is shown in the Massachusetts deaths, where fewer deaths in the > 65-year-olds in 2021 and 2022 were canceled by the rise in deaths among the younger age groups.

Percent vaccinated in Massachusetts

USA facts reports about the number of people who had the COVID shots in Massachusets

In Massachusetts, 6,982,383 people or more than 95%* of the state has received at least one dose.

Overall, 5,570,460 people or 81% of Massachusetts’s population are considered fully vaccinated.

Additionally, 2,987,198 people or 43% of Massachusetts’s population have recieved a booster dose.

ICD-10

Using the ICD-10 codes in the death certificates, John was like a medical examiner who dissected the body of information and looked under the microscope for the cause of excess deaths in all ages.

We begin with cardiac arrest. The graphs below show an increase in cardiac arrest in the 25 to 84 years old from 2020, when the pandemic started but increased after the COVID shots were rolled out.

In contrast, there was a decrease in cardiac arrest in 85+ in 2021 and 2022. (Many of them died already,)

Cardiac arrhythmia is in the news nowadays – Myocarditis is more common than Commotio Cardis. The graphs below illustrate the rise in arrhythmias from 25 to 84 years old.

There is also an increase in acute renal failure.

Figure 9 Source: https://viaveravita.com/wp-content/uploads/2022/10/2022-10-18-pdf-The-Story-3.0.pdf

One common cause of Acute Renal Failure is Acute Tubular Necrosis (ATN). One cause of ATN is a blood clot that blocks the renal artery. The mechanism of clot formation is similar to PE, DVT, and strokes.

The bar graphs below show that all age groups from 5 to 85+ years have higher renal failure codes in 2021 and 2022.

Renal failure is one example. The whole PDF presentation is 53 pages long and filled with graphs. You can access it at https://viaveravita.com/wp-content/uploads/2022/10/2022-10-18-pdf-The-Story-3.0.pdf.

The pattern in all of the conditions is similar. Excess deaths for all conditions in the younger age group (<65) increased in 2021 and 2022 when the COVID jabs were started.

Note the values above the bar graphs. Sometimes the height of the graphs does not give justice to the differences in values.

Causes of death that increased after the COVID shots were started

You can see the graphs pertinent to the following at this LINK.

Diseases of the Respiratory system
Pneumonia, unspecified
Pulmonary Embolism without mention of acute cor pulmonale
Cardiac Arrhythmia – ex. atrial fibrillation, atrial flutter, heart blocks, ventricular tachycardia, and ventricular fibrillation
Diseases of veins, lymphatic vessels, and lymph nodes not elsewhere classified
Other venous embolisms and thrombosis
Benign neoplasms, blood, blood-forming organs, … immune mechanism
Disorders involving the immune mechanism
Acute posthaemorrhagic anemia – anemia due to blood loss
Disseminated intravascular coagulation – Severe disease where excessive bleeding and clotting happen at the same time
Other coagulation defects
Secondary thrombocytopenia – low platelet counts that lead to bleeding
Malignant neoplasms (cancers)
Secondary and unspecified malignant neoplasm: Lymph node, unspecified
Secondary malignant neoplasm of retroperitoneum and peritoneum
Secondary malignant neoplasm of bone and bone marrow
Chronic lymphocytic leukemia of B-cell type
Tachycardia, unspecified – rapid heart rate

John Beaudoin, Sr. summarizes his findings as

Why is this method the most complete and reliable?

Because it includes all ages that received the shots. Life insurance data only account for the working age group that is employed. Examples:
- Indiana life insurance CEO says deaths are up 40% among people ages 18-64
- Lincoln National insurance paid out 163% more for deaths of working people ages 18-64 in 2021
It covers everyone regardless of religious affiliations. – Excess Deaths in a Small Parish only included Catholics.
The data includes those deaths that are not reported on the Vaccine Adverse Event Reporting System. VAERS is underreported by a factor of 100, according to the Lazarus Report.
Case reports and systematic analyses in medical journals are excellent for showing causality because they include details of the clinical history and tests done to link the deaths to the shots. However, not all physicians have the time to do them. that is why they are small in numbers. Examples:
Death certificates contain more medical information because it requires immediate, antecedent, and underlying causes. In other reports, it will only say cardiac arrest, but it could be due to pulmonary embolism as the antecedent and clotting disorder as the underlying cause. Below is a partial screenshot of a Massachusetts death certificate.

Source: https://www.signnow.com/preview/65/760/65760135/large.png

One may criticize the use of the death certificate only because it does not include the COVID shot status. However, with 95% of the Massachusetts population receiving at least one shot, excess deaths most likely represent the actual value.

This work should be duplicated in all of the states in the US and other countries. Make use of the Freedom of Information Act to get the truth.

You can see the rest of John’s work at

https://viaveravita.com/
John is e Coquin de Chien at coquindechien.substack.com
He has The way and the Truth and the Life podcast at https://rumble.com/c/c-1283222

John does not know me, and I don’t have the financial incentives to spread his work.

Truth heals. Lies kill. Don’t Get Sick!

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