John Beaudoin, Sr. aka, Coquin de Chien “The Real CDC,”

In recent years, the medical community and the general public have been grappling with the effects of the COVID-19 pandemic. John Beaudoin, Sr., also known as Coquin de Chien and the author behind “The Real CDC,” explores a significant shift in death patterns from 2020 to 2021. His work delves into the causes and implications of these changes, focusing on the onset of COVID-19 and the rollout of what he describes as “COVID immunization gene drug therapy injections.” Let’s explore the key findings and insights from his research.

John Beaudoin: The Mind Behind ‘The Real CDC’

John Beaudoin is an investigative author and analyst who has been vocal about the changing dynamics in health trends during the COVID-19 pandemic. His book, “The Real CDC,” uncovers some disturbing trends in the mortality data from the pandemic years. Beaudoin’s meticulous approach to research and data analysis has helped him identify significant shifts in patterns that warrant closer scrutiny.

Understanding the Shift in Death Patterns

The COVID-19 pandemic has caused a dramatic shift in death patterns. In 2020, the predominant cause of death was respiratory-related illnesses, primarily due to the COVID-19 virus itself. However, 2021 saw a notable change, with circulatory and blood-related issues becoming more common. John Beaudoin’s research explores why this shift occurred and its implications for public health and safety.

COVID-19 and Respiratory Deaths in 2020

In 2020, the primary cause of death related to COVID-19 was respiratory issues, with the virus causing severe damage to the lungs and respiratory system. This was a consistent pattern worldwide, and it was expected given the nature of the coronavirus. However, as the pandemic progressed, the underlying causes of death began to change.

By 2021, the patterns of death had shifted significantly. Instead of respiratory issues, circulatory and blood-related causes became more prevalent. This change, highlighted by John Beaudoin, raises concerns about the long-term effects of COVID-19 and the impact of the treatments used during the pandemic. The transition from respiratory to circulatory and blood-related deaths suggests that the health effects of the pandemic were more complex and varied than initially thought.

Examining the Age Spectrum Profile

Another critical aspect of Beaudoin’s research is the change in the age spectrum profile of excess deaths. In 2020, the average age of those dying from COVID-19-related causes was around 81 years. However, in 2021, this average age dropped to about 65 years. This significant decrease indicates that younger people were becoming more susceptible to the effects of COVID-19 or its associated treatments. This trend also raises concerns about the impact on broader age groups and the need for further investigation.

The Seasonality Change

Traditionally, mortality rates tend to peak in winter due to flu and pneumonia. However, Beaudoin’s research found that this seasonal pattern was disrupted in 2021. Deaths were no longer concentrated during the colder months but instead occurred consistently throughout the year. This shift in seasonality suggests that the health risks posed by COVID-19 or its treatments extended beyond the usual seasonal patterns.

The Impact of “COVID Immunization Gene Drug Therapy Injections”

John Beaudoin’s research explores the potential link between the changes in death patterns and the widespread rollout of “COVID immunization gene drug therapy injections.” These injections, commonly referred to as COVID-19 vaccines, were introduced to curb the spread of the virus and reduce mortality rates. However, Beaudoin raises questions about their long-term impact on health and the broader implications for the population.

What Beaudoin’s Research Reveals

Beaudoin’s detailed analysis of death patterns uncovers significant shifts that challenge the conventional understanding of COVID-19 and its treatments. His research suggests that the changes in mortality rates could be linked to the widespread use of COVID-19 vaccines. He notes that these changes reflect not just a shift in causes of death but also a broader impact on different age groups and seasonal patterns.

The Broader Implications of These Findings

The findings presented by John Beaudoin raise important questions about the long-term effects of COVID-19 vaccines and the potential health risks associated with them. The shift in death patterns suggests that there may be underlying causes that require further investigation. This raises concerns about the safety and efficacy of the vaccines and whether they are contributing to new health risks.

Addressing Common Misconceptions

Beaudoin’s research addresses several common misconceptions about COVID-19 and its treatments. He argues that the term “vaccine” was redefined in 2020 to fit the category of “COVID immunization gene drug therapy injections.” This redefinition, he believes, was used to make the treatments more acceptable to the public. Additionally, the use of the term “booster” may have led to misunderstandings about the actual effects of these injections on the immune system.

The Changing Definition of “Vaccine”

One of the most significant points raised by Beaudoin is the redefinition of the word “vaccine.” He argues that this change was intended to make the COVID-19 treatments more acceptable to the public, using a familiar term that people already trusted. This shift in terminology, along with the introduction of “booster” shots, may have contributed to confusion about the true nature of the treatments and their potential risks.

Criticisms and Rebuttals

Despite his meticulous research, Beaudoin’s findings have faced criticism from various sources. Critics argue that his conclusions may be based on incomplete or biased data. However, Beaudoin stands by his work, emphasizing that his findings are rooted in statistical analysis and thorough investigation. He invites others to examine the data themselves and draw their own conclusions.

Public Response and Media Coverage

The public response to Beaudoin’s research has been mixed. Some people appreciate his efforts to shed light on the changing death patterns and question the long-term effects of COVID-19 treatments. Others remain skeptical, arguing that his conclusions may be influenced by a broader anti-vaccine sentiment. The media coverage of his work has also been varied, with some outlets embracing his findings while others remain critical.

Conclusion

John Beaudoin’s research offers a unique perspective on the changing patterns of death during the COVID-19 pandemic. His findings suggest that the transition from respiratory to circulatory and blood-related deaths, along with the shift in seasonality and age spectrum profiles, warrants further investigation. While his work has faced criticism, it has also sparked important conversations about the potential risks associated with COVID-19 vaccines and the need for greater transparency in public health policies.

FAQs

What is the main focus of John Beaudoin’s research?

John Beaudoin’s research focuses on the changing patterns of death during the COVID-19 pandemic, particularly the shift from respiratory-related causes in 2020 to circulatory and blood-related causes in 2021.

Why did the definition of “vaccine” change in 2020?

According to Beaudoin, the definition of “vaccine” was changed to encompass “COVID immunization gene drug therapy injections,” making it more acceptable to the public.

What is the significance of the seasonality change in 2021?

The seasonality change suggests that the pattern of deaths was no longer limited to winter months, indicating a broader and more persistent health risk throughout the year

How did the age spectrum profile change from 2020 to 2021?

In 2020, the average age of excess deaths was 81 years, while in 2021, it dropped to about 65 years. This shift indicates that younger people were more affected in 2021.

What criticisms has John Beaudoin’s research faced?

Beaudoin’s research has faced criticism for potentially being biased or based on incomplete data. Critics argue that his conclusions may reflect a broader anti-vaccine sentiment.

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