Author Topic: All-cause mortality - 1 out of every 800 dies of the vaxx- 17 million worldwide?  (Read 1625 times)

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All-cause mortality X vaccine doses:



Excerpt from video:  "We calculate what we call a vaccine dose fatality rate and what we find is that for all ages combined and worldwide that number is approximately 0.12 percent. That is the risk per injection of dying. This means that out of every 800 injections all ages all populations 1 person will die, as a result, causally related to the vaccine. 1 out of every 800 on a global scale. So this corresponds, given the number of injections that have been given around the world, this corresponds to 17 million excess deaths. Deaths that have occurred in less than 3 years directly related to the vaccine rollouts on the planet. This is what we find. And we're finding the same thing, country after country, in every age group and so on. And the other thing that we found that's very important is that we are able to quantify this risk of dying from injection by age, so by age group. And when we do that - and we have now done this for several jurisdictions that have really good data on a by age basis and that provide the data by dose and by time - the vaccination data - we're able to do this and what we find, and we've now found this for Israel, Australia, Chile and Peru which are jurisdictions that have particularly good data they all show exactly the same phenomenon which is the risk of dying increases exponentially with the age of the person on a per injection basis. Exponentially. So the risk of dying doubles for every 4 or 5 years of age. And that means that when you are 90+ in Peru or Chile - and the data is there for everyone to look at - in that age group one out of every 20 injections the person will die. One out of every 20. So it's highly toxic for elderly people. And the fact that it depends so strongly on age shows that the mindless baseless government policy of prioritizing the elderly for injection is criminally negligent. That's what I would conclude."

 

Source of graph: "Age-stratified COVID-19 vaccine-dose fatality rate for Israel and Australia"
https://correlation-canada.org/report-age-stratified-covid-19-vaccine-dose-fatality-rate-for-israel-and-australia/
Much more in the video:

The Elephant in the Room: C-19 Vaccines & Unprecedented All-Cause Mortality
https://worldcouncilforhealth.org/multimedia/denis-rancourt-mortality/

https://correlation-canada.org/research/

https://twitter.com/denisrancourt

(Scroll down after video on next link for links to many papers)

Denis Rancourt on Covid vaccine deaths - video
6 Apr 2023  Updated:30 Aug 2023
https://jermwarfare.com/conversations/denis-rancourt-vaccines

"Denis Rancourt at ICS4 - All-cause mortality woldwide and Romania (18 NOV 2023)"
https://rumble.com/v3xza31-denis-rancourt-at-ics4-all-cause-mortality-woldwide-and-romania-18-nov-2023.html

https://denisrancourt.ca/page.php?id=1&name=home

All-cause mortality during COVID-19: No plague and a likely signature of mass homicide by government response
Denis G. Rancourt, PhD
https://denisrancourt.ca/uploads_entries/1626793454013_All-cause%20mortality%20during%20COVID-19----3.pdf

World Council for Health
https://rumble.com/search/all?q=world%20council%20for%20health

More recent 180 page study PDF:
https://denisrancourt.ca/uploads_entries/1695061495166_2023-09-17-Correlation-Covid-vaccine-mortality-Southern-Hemisphere-cor.pdf

In brief added 1-4-24.
https://www.bitchute.com/video/MdCixSHVlWd9/
« Last Edit: January 04, 2024, 10:56:33 AM by admin »
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Re: All-cause mortality - 17 million excess deaths from vaccine - so far?
« Reply #1 on: November 26, 2023, 04:17:35 PM »
Our earliest report on the vulnerability of the elderly to being killed and disabled by the toxic clot shots was from a nursing assistant in the trenches, at a home for the elderly, that was posted in this forum back in January of 2021:
    
CNA Nursing Home Whistleblower: Seniors DYING LIKE FLIES After Vax Injections!
https://www.covid-19forum.org/index.php?topic=596.0

In the quickly banned YouTube video available at this BitChute link:
https://www.bitchute.com/video/AR5BZpoAlzQR/
« Last Edit: November 27, 2023, 09:11:53 AM by admin »
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https://childrenshealthdefense.org/defender/covid-vaccine-rollouts-all-cause-mortality/

09/20/23

"‘Definite Causal Link’ Between COVID Vaccine Rollouts and Peaks in All-Cause Mortality, New Study Finds

Researchers estimated the COVID-19 vaccines led to approximately 17 million deaths worldwide, with the most deaths occuring among the elderly.
By Brenda Baletti, Ph.D.

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A new study of 17 countries found a “definite causal link” between peaks in all-cause mortality and the rapid rollouts of the COVID-19 vaccines and boosters.

Researchers with Canada-based Correlation Research in the Public Interest found more than half of the countries analyzed had no detectable rise in all-cause mortality after the World Health Organization declared a global pandemic on March 11, 2020 — until after the rollout of the COVID-19 vaccines and boosters.

They also found that all 17 countries, which make up 10.3% of the global population, had an unprecedented rise in all-cause mortality that corresponded directly to vaccine and booster rollouts.

Through a statistical analysis of mortality data, the authors calculated the fatal toxicity risk-per-injection increased significantly with age, but averaged 1 death per 800 injections across all ages and countries.

By that calculation, with 13.5 billion injections given up to Sept. 2, 2023, the researchers estimated there were 17 million COVID-19 vaccination deaths (± 500,000) globally following the vaccine roll-out.

“This would correspond to a mass iatrogenic event that killed 0.213 (± 0.006) % of the world population and did not measurably prevent any deaths,” the authors wrote.

This number, they noted, is 1,000 times higher than previously reported in data from clinical trials, adverse event monitoring and cause-of-death statistics gleaned from death certificates.

In other words, “The COVID-19 vaccines did not save lives and appear to be lethal toxic agents,” they wrote.


The shots were the most toxic for the most elderly across all 17 countries analyzed.

The authors concluded governments should “immediately end the baseless public health policy of prioritizing elderly residents for injection with COVID-19 vaccines, until valid risk-benefit analyses are made.”

The 180-page paper, by Denis Rancourt, Ph.D. former physics professor and lead scientist for 23 years at the University of Ottawa, Marine Baudin, Ph.D., Joseph Hickey, Ph.D. and Jérémie Mercier, Ph.D. was published Sept. 17.
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Using all-cause mortality to identify deaths caused by vaccines

All-cause mortality (ACM) — a measure of the total number of deaths from all causes in a given time frame for a given population — is the most reliable data used by epidemiologists for detecting and characterizing events causing death and for evaluating the population-level impact of deaths from any cause, the authors wrote.

Unlike other measures, ACM data are not susceptible to reporting bias or to biases that may exist in subjective assessments of the cause of death. Any event, from a natural disaster like an earthquake to a wave of seasonal or pandemic illness appears in ACM data.

Using methodologies developed in their previous research on COVID-19 and vaccination in India, Australia, Israel, the U.S. and Canada, the authors used changes in all-cause mortality rates to identify deaths associated with mass vaccination.

Rancourt told The Defender that after identifying the “stunning” correlation between vaccines, boosters and rising ACM in those five countries, the authors looked for other countries that had similar data so they could repeat the analysis to determine if the same synchronicity occurred.

They tracked and statistically analyzed the temporal relationship between spikes in national all-cause mortality rates, stratified by age where data were available, and the COVID-19 pandemic period and the vaccine and booster rollouts.

In other words, they analyzed whether “excess mortality” appeared following the announcement of the COVID-19 pandemic and following the introduction of initial vaccines or booster shots relative to previous all-cause mortality rates.

Excess mortality is a term used in epidemiology and public health that refers to the number of deaths from all causes during a crisis above and beyond what we would have expected to see under ‘normal’ conditions, according to Our World in Data.

Controlling for confounding factors such as seasonality, the authors calculated the vaccine-dose fatality rate (vDFR) — the ratio of vaccine-attributable deaths to the number of vaccines given. They found it ranged from 0.02 to 5%, depending on country, age and number of shots given and that the overall, all-ages vDFR for all 17 countries averaged 0.126 ± 0.004%.

“These findings appear to confirm arguments made by biologists including Mike Yeadon and Sucharit Bhakdi that the dangers for adverse autoimmune reactions would be predicted to increase with each subsequent exposure to the transfection,” said Childrens’ Health Defense Staff Scientist J. Jay Couey.

Factors such as seasonal illnesses can complicate analysis of all-cause mortality rates, because deaths from things like respiratory illnesses tend to peak in winter.

To eliminate seasonality as a possible confounding factor, the Correlation researchers, examined all available data for countries that rolled out the vaccines but where there was no seasonal fluctuation (equatorial countries) or the vaccines/boosters were rolled out during the summer and so the effects of the rollouts could be seen most clearly.

Those countries, all located in the equatorial region or the Southern Hemisphere where the rollouts were in the summer, included  Argentina, Australia, Bolivia, Brazil, Chile, Colombia, Ecuador, Malaysia, New Zealand, Paraguay, Peru, Philippines, Singapore, South Africa, Suriname, Thailand and Uruguay.

The authors are working on extending this analysis to all countries across the world where data is available, Rancourt told The Defender.

Vaccination associated with high all-cause mortality regime in all countries

In nine of 17 countries analyzed, there was “no detectable excess mortality in the year or so between when a pandemic is announced on 11 March 2020 and the starting time of the first vaccine rollout in each country,” the paper reported.

In Australia, Malaysia, New Zealand, Paragua, Philippines, Singapore, Suriname, Thailand and Uruguay, excess mortality appeared only after the vaccine rollout.

In the other eight countries — Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Peru and South Africa — excess mortality can be seen prior to the vaccine rollout.

However, the researchers said, “In all 17 countries, vaccination is associated with a regime of high mortality, and there is no association in time between COVID-19 vaccination and proportionate reduction in ACM.”

Also, all 17 countries showed a strong correlation with higher rates of ACM in early 2021, following the initial vaccine rollout and in early 2022, when the boosters were rolled out.

The authors underscore the finding that where age-stratified data were available, there were “remarkable temporal associations” between rapid first dose and booster rollouts and immediate peaks in all-cause mortality, and the transition to what Rancourt called “a new regime in mortality, where the mortality just stayed high for a long time.”

The paper includes reporting, graphs and data analysis by a number of different methods showing the temporal relationships between the pandemic announcement, vaccines and spikes in all-cause mortality for each individual country.





Transitions between regimes of mortality — ACM by time (blue), vaccine administration by time (orange) and the average ACM by time (red). The March 11, 2020 pandemic declaration date is shown by a vertical grey line in each panel. The data sources are specified in Appendix A of the study. Credit: Rancourt, Baudin, Hickey and Mercier.

Causation, not just correlation

The authors argue the evidence collected supports a causal link between vaccines and high mortality rates.

First, they cite autopsy studies, adverse event monitoring and peer-reviewed publications, studies of vaccine-induced pathologies, analysis of adverse events in industry clinical trials and payouts from global vaccine injury compensation programs, which together they say demonstrate the COVID-19 vaccines caused many individual deaths.

Then they point to several population-level studies, including their own prior research, that demonstrated a likely causal link.

And they cite principles of immunology that explain the mechanisms from severe harm from the COVID-19 vaccines.

The authors also addressed and discounted several proposed alternative explanations for the spikes in ACM, including that those changes are due to seasonal variation, heat waves, earthquakes, conflict, COVID-19 countermeasures, underlying health conditions or the appearance of COVID-19 variants.

They argued that COVID-19 variant “waves” cannot explain the spikes, they wrote.

For that to occur, the new variants would have to cause simultaneous peaks and surges in mortality in 17 countries, “which is a statistically impossible occurrence if we accept the theories of spontaneous viral mutations and contact spreading of viral respiratory diseases; and all the resulting peaks of mortality would have the remarkable coincidence of occurring precisely when vaccine boosters were rolled out.”

The authors concluded that the strong correlation between vaccine rollouts and the new higher regimes of ACM shows causality, according to the “experiment, temporality and consistency” criteria laid out by Dr. John Ioannidis in a  2016 paper.

The same phenomenon, they write, is observed in different age and geographical settings (experiment), the rises in all-cause mortality are synchronous with the vaccine rollouts (temporality) and the phenomenon is qualitatively the same each time it occurs (consistency).

Prioritizing elderly people for vaccination was ‘reckless’

These “conclusive” findings contradict the common claims that the vaccines, despite their adverse effects, actually saved lives.

Instead, the authors write:

“We have found no evidence in our extensive research on ACM that COVID-19 vaccines had any beneficial effect. If vaccines prevented transmission, infection or serious illness, then there should be decreases in mortality following vaccine rollouts, not increases, as in every observed elderly age group subjected to rapid booster rollouts.”

To the contrary, the study confirmed the authors’ previous findings that vDFR grows exponentially with age. They found the risk of dying from the COVID-19 injection doubled with every 4-5 years of age, which is approximately half the doubling age of dying of all causes of mortality, including cancer, pneumonia and heart disease.

They found large and age-dependent values of vDFR in elderly people that included, for example, a rate of 0.55% (one death per 180 injections) for people 80 and over in Israel to 5% (one death per 20 injections) for people 90 and over in Chile and Peru.

That means, the authors said, that there is not and was never any age-stratified risk of fatality data to support the public health policies that prioritized elderly people for vaccination.

“Prioritizing elderly people for COVID-19 vaccination, in the absence of relevant data, was reckless.”

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Increase in vaxx uptake results in increase in COVID death?
« Reply #3 on: December 02, 2023, 12:11:47 PM »
Averaging three vaccines per person, Japan's COVID death rate increased, in each of 4 consecutive waves of increasing vaccine uptake.



Any surprise since a very large Cleveland Clinic study revealed that the more COVID vaccine doses a person receives the more likely they are to get COVID?
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https://kirschsubstack.com/p/data-from-us-medicare-and-the-new

"Data from the New Zealand Ministry of Health shows that the COVID vaccines have killed over 10 million worldwide
It's finally here: record-level data showing vaccine timing and death date. There is no confusion any longer: the vaccines are unsafe and have killed, on average, around 1 person per 1,000 doses.
Steve Kirsch   Nov 30, 2023

Update

If you want to attack my analysis you can do so 5 ways:

    Show the data is not legit

    Show that the data can’t be used because it isn’t complete

    Show the the analysis method (time-series cohort) is improper

    Show that there is an execution bug (in buckets.py or the v4 spreadsheet)

    Show that there is an error in the interpretation of the v4 visualizations

To date, nobody has found a bug in buckets.py and nobody has found a mistake in my v4 spreadsheet! The methodology is very standard; it’s the same method used by the UK Office of National Statistics (ONS).

The graphs speak for themselves. It doesn’t get any more clear than this. You can vary all four independent variables, and you see the same signal.



We are done. Nobody wants to go on camera and debate me on this. They would lose. Badly. Those curves should be relatively flat lines, not curves with a hump. You don’t need a control group on that kind of signal. IT IS UNPRECEDENTED.

Even self-proclaimed experts, like David Gorski were unable to find a problem in my spreadsheet or buckets.py. If there are no errors, you have to accept the results. The methodology is proven and accepted, the execution was flawless.

The fact that there are missing doses for a given person is immaterial. We are always comparing dose 3 people with dose 3 people, for example.

And if the vaccine was as safe as claimed, missing doses for anyone is immaterial since all doses are placebo shots and make no difference.

The charts from Medicare are even more extreme than these. For all safe vaccines the line slopes down. For the COVID vaccine, the line slopes up. Nobody has ever seen anything like this. It is unprecedented in the history of Medicare. No counterexamples.

This is why nobody will debate me on camera on this data.

This is why no country is releasing the record-level data (RLD). If the vaccine was safe, they’d be making the RLD widely available as well as the detailed time-series cohort analysis. See anyone doing that? Nope. It’s because they know the vaccines are killing people.

I even offered to take down my data if Health New Zealand showed me that my time-series analysis is wrong and the vaccines are safe. No response. Crickets.

We now have data from 5 countries showing very troubling mortality vs. days since dose:

    US

    New Zealand

    UK

    Maldives

    Israel

Guess what? In every single case, the plots of deaths vs. days since dose are inexplicable.

Executive summary

Today you will get to see the data that nobody wants you to see. FINALLY.

No State or country has ever released record-level public health data on any vaccine.

Privacy is not the reason for this; the data can be easily obfuscated (which we did on this data) so that no record entry would match that of any person, living or dead.

The reason the data is kept secret is simple: it would expose the fact that the COVID vaccines are unsafe, as well as all the vaccines that I have been able to get record-level data on.

Today, thanks to a courageous whistleblower who works at the New Zealand Ministry of Health, we have record-level information from a large population of all ages and are making it public for the first time in history.

Here is the Rumble video announcing the leak:

The Mother of All Revelations:
https://rumble.com/v3ynskd-operation-m.o.a.r-mother-of-all-revelations.html

There was a YouTube link as well, but YouTube censored it within minutes of posting, just like we knew they would.

Just as you suspected, the COVID vaccines have killed millions of people worldwide, an estimated 1 death per 1,000 doses on average in a standard population.

And now we have the data to prove it.

The MIT slide presentation

You can read my “Is it safe?” MIT presentation slides here. I highly recommend reading the slides and/or watching the livestream. I tried to make the slides self-standing, but the livestream can be helpful in explaining some of the slides.

I also periodically dump a PDF version of the presentation to my skirsch.com web server. The PDF version is searchable and you can copy/paste text from it (such as the access keys for the Wasabi server so you can download all the goodies).
The MIT talk livestream links

Here is the Twitter livestream.

Here is the Rumble livestream.

Downloading the data and tools

The MIT presentation listed above has everything you need including the credentials to download all the data.

Here are the credentials:

Server: kirsch.izt.world:9000
Note: do NOT use SSL (make sure this is unchecked)

    Public API keys:
    access-key= g42m54xwZS80yQpAO20Q
    secret-key= Kq77gLL47mbypnnRc0UP7sPTvrvjn6y0D5FSEK5H

You can only access the data-transparency bucket for now. Trust me, there’s more that I’m not disclosing yet (including a new US source other than Medicare).

This bucket has data from New Zealand, US, and the Maldives.

You can use any S3 file browser to download such as CloudBerry Explorer or CyberDuck. Pick the S3 Compatible storage provider (double click on it). Then fill it out as noted above:"

more
https://kirschsubstack.com/p/data-from-us-medicare-and-the-new
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