Writing

Writings on social engineering and other things

by Virginia “Ginny” Stoner, MA, JD

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Index of topics on this blog

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Shocker on the April 2020 death surge; plus, a comparison of state death rates

After my last paper on the April 2020 death surge, I looked deeper and discovered something shocking: the 135,000 excess deaths in the US during the surge occurred almost exclusively in New York and New Jersey. Because the death surge was so localized, 4 out of 5 of the possible explanations I proposed for it don’t really fit! Plus, there’s a new chart comparing the death rate in each state for 2019, 2020, 2021 and 2022. There are a few standouts among the states—but not necessarily for the right reasons.

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The inconvenient April 2020 death surge; plus, twice the number of young men die

There have been 1.7 million excess deaths in the US in the last few years, starting with a sudden surge of deaths in April 2020. This death surge is ignored a lot in both mainstream and alternative media, because it doesn’t neatly fit anyone’s narrative. This paper takes a closer look at that first death surge, considers the possible causes, and identifies 4 distinct “death surges” that occurred from 2020-2022. It also looks at deaths by gender among 25-44 year olds—an age group where twice as many men die than women.

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2022 mortality; 43% more deaths for ages 35-to-44; how to normalize excess deaths with math

The CDC’s long overdue update on deaths in the US is finally in—2022 numbers are complete (but not finalized) in the WONDER database, and 2021 numbers are finalized. Some things are especially disturbing; for example, excess deaths in the 35-44 year age group were a stunning 43% higher than expected. I also explain why I use 2015-2019 mortality data to calculate excess deaths, and explain why using a 5-year rolling average normalizes excess deaths.

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US births, 1995 through 2021

In this short paper, I show US birth numbers from the CDC’s WONDER database, which are available from 1995 through 2021. While it’s not possible to draw any conclusion about cause and effect simply from looking at numbers in a database like this, it is possible to identify certain things that may warrant further investigation—such as a possible connection between the HPV vaccine and declining birth rates.

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Excess deaths by age group: What, me worry?

If it seems like more young people than usual are dying these days, it’s because they are. If anyone tells you otherwise, they either don’t know what they’re talking about, or they’re lying. Surprisingly, these excess deaths have disproportionally effected young people. In this paper I discuss excess deaths in the US by age group, from the CDC WONDER database.

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All-cause deaths in England: vaccinated versus unvaccinated

 This paper looks at all-cause deaths in England, comparing deaths among the COVID19 vaccinated and unvaccinated. It also has a few other thoughts on vaccine safety in general. It looks like there’s some serious statistical funny business going on in both the US and England, having to do with “age-adjustments” (in the US) and “age-standardization” (in England), which are helping to paint a rosy picture of vaccination.

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Vaccinated versus unvaccinated: CDC numbers suggest…hmm

With preventing COVID19 infection and transmission both off the table as possible benefits of vaccination (not that they were ever really there, but…), the only possible benefit left is preventing severe cases of COVID19. I hope we can all agree that death is the most severe of severe cases. In this paper, I look at vaccinated and unvaccinated US COVID19 death data collected by the Centers for Disease Control (CDC). I don’t know how reliable it is—I’m just showing you what’s there, and pointing out some of its obvious limitations, based on the CDC’s own descriptions. As you’ll see, the data is far more ambiguous than glowing—the sort of data that makes you go, "hmm.”

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Forced vaccination and contagion

Pfizer and pro-vax experts have admitted the COVID19 vaccines don’t prevent the transmission of disease to others—that means there’s no legitimate basis for any COVID19 vaccine mandates. A flood of propaganda followed in the wake of these revelations, in an effort to control the damage. I look at some of it in this post. I also look at some historical research on the transmission of disease—how much proof do we really have that flu is contagious?

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SHOCKER: No legit basis for any COVID19 vaccine mandates

There’s really only one arguably legitimate justification for the use of force or coercion in vaccination, which is that it benefits the public by preventing the spread of disease. It’s the purported basis of every vaccine mandate in the world. Recently, there have been bombshell admissions by Pfizer and pro-vax experts that COVID19 vaccines do not, and never have, prevented the transmission of disease. In other words, there is no legitimate basis for any COVID19 vaccine mandates.

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A million excess deaths in the US in 2020-2021—none caused by a virus

In this post, I use mortality data from the CDC Wonder database to estimate the number of excess deaths in the US in 2020 and 2021—meaning deaths over and above what would ordinarily be expected, based on the historical pattern. There were more than a million excess deaths—of which zero were caused by a virus.

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CDC data shows deaths in the US have exploded

In this post I look at death data from the CDC’s WONDER database, which shows there was a dramatic increase in US deaths that began in mid-2020, in the midst of lockdowns and mask mandates. Before the COVID19 panic was introduced in January 2020, and for several months after, deaths were at normal levels. Deaths escalated with the introduction of COVID19 vaccines in mid-December 2020, and peaked at unprecedented levels in January 2021 and January 2022.

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Bayesian voodoo and the COVID19 vaccine coverup

VAERS has been in the spotlight recently, as the CDC and FDA squirm their way around attempts to get details about their COVID19 vaccine safety monitoring efforts. They say they use Bayesian analysis to monitor VAERS for potential vaccine safety issues, and it’s a mystery why those analyses didn’t result in any alerts for months after the rollout of the COVID19 vaccines, in spite of a massive and unprecedented increase in vaccine injury reports. In this post, I explain what Bayesian analysis is, why it has red flags, and why we might have been told there were no safety alerts.

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Poul Thorsen, the least wanted Most Wanted man in the world

Paul Thorsen is a medical doctor and researcher who’s been on the Office of Inspector General’s Most Wanted Fugitives list for nearly a decade, accused of stealing CDC research funds—but no one seems to really want him. I feel a little bad for picking on Dr. Thorsen—he’s just a faux scapegoat in a faux prosecution designed to make it look as though vaccine research fraud is rare and seriously frowned upon.

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Trolls, true believers, and other lying liars

In spite of convincing evidence of the mass-vaccination campaign in the US during the Spanish flu, most people don’t know the vaccines even existed. Why? Because there’s an ongoing conspiracy to conceal it. Sometimes this results in creepy dark hilarity, as industry trolls and true believers struggle to come up with an explanation for the obvious lies about Spanish flu vaccines.

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Sweet Muskatel dreams and other illusions

It’s been true for decades that “seeing it on TV ” is the functional equivalent of “seeing it live.” There’s increasing awareness of just how easy it is to fake anything on video, even on live television; but at the same time, there’s a common belief that major news stories would never, or could never, be fabricated. But not only can major news stories be fabricated, it’s easy. All you need is an obedient press that says what they’re told to say, and a trusting population that believes what they’re told to believe. That’s what we have.

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