Brownstone Journal

Same Excess Death Patterns in Multiple Data Sets after mRNA Vaccine Rollouts


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By Debbie Lerman at Brownstone dot org.
This article is based on the painstaking and meticulous work of intrepid researcher and Substack writer csofand. I will refer to him as "the researcher," as he prefers to remain anonymous.
I am also grateful for the assistance of citizen researcher/journalist Benjamin Marten, who generously shared his VAERS data queries and results with me.
Why am I writing about excess mortality associated with Covid mRNA vaccines?
Recently, I was talking to some friends about various Covid topics and casually mentioned deaths and disabilities associated with the mRNA vaccines, as documented by the company that made them. My friends, who are somewhat open to Covid skepticism but have not explored the subject very thoroughly, and are still ensconced in the corporate media bubble, were taken aback. "You mean people died from the vaccines?" they asked incredulously.
Which, for me, raised the question: How can we still be arguing about this?
I hope the information compiled here can help put an end to the question of whether or not Covid mRNA vaccines harm and kill people.
What Is "Excess Mortality"?
According to Wikipedia, excess mortality is an epidemiological term that means "the increase in the number of deaths during a time period and/or in a certain group, as compared to the expected value or statistical trend during a reference period (typically of five years) or in a reference population."
Simply put, it means more deaths than expected based on previous trends and future projections. As it relates to Covid-19, starting very early in 2020, a major topic of concern became how much excess mortality was caused by the disease (whether or not the disease actually caused a lot of excess mortality is a separate issue). After 2020, with near universal exposure to the novel coronavirus, and the rollout of a global vaccination campaign, excess mortality was expected to go back down.
Instead, it increased.
The Three-Spike Pattern
In this article, I will not attempt to quantify excess mortality in the years since Covid, nor will I establish a one-to-one correlation between Covid vaccinations and deaths.
Others, including most prominently Ed Dowd and Dennis Rancourt et al, have done extensive work on this topic, which I encourage readers to explore.
My purpose is to provide information that supports and corroborates these researchers' conclusions, showing that in a variety of disparate databases, an almost identical pattern of excess deaths appears every time - which I will refer to as the three-spike pattern. The same pattern appears in death reports in VAERS (the Vaccine Adverse Events Reporting System of the CDC) and in overall mortality trends both nationally and in individual states.
Specifically, the three-spike pattern appears in every data set around these periods:
December 2020-January 2021
August-September 2021
January-February 2022.
My contention in this article is that the mRNA vaccine rollouts/approvals are the singular events that correspond exactly with the three-spike pattern in all of these datasets:
December 11, 2020: Pfizer/BioNTech Emergency Use Authorization
December 18, 2020: Moderna Emergency Use Authorization
August 23, 2021: Pfizer "full FDA approval"
January 31, 2022: Moderna "full FDA approval"
If anyone can find another explanation for the three-spike pattern correlations in all of the graphs and data presented here, please contact me with the information and/or add to the comments section.
Three-Spike Post-2020 Excess Mortality Shocks Life Insurance Experts
In May 2024, life insurance experts affiliated with the nonprofit Insurance Collaboration to Save Lives got together to discuss trends in the life insurance industry - specifically, the surprising rise in excess mortality rates after 2020. The conversation began with a statement about how unusual it was to even be talking about "excess mortality":
When people start talking about excess mortality, and that's not something you ever...
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