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Denis Rancourt: The cause of excess mortality is proven

It’s increasingly well-known (off the main media grid) that in western countries at least there is significant excess mortality, and has been since 2021.

When the government and medical authorities can no longer avoid discussing the calamitous death toll, the excuses proferred are likely to be long covid, and/or knock on effects from pandemic measures.

It looks like this excuse won’t work. A new analysis by Denis Rancourt and his team has extended the excess mortality calculations to countries in the southern hemisphere - countries which didn’t have covid to the same extent. In fact many had no detectable covid excess mortality.

COVID-19 vaccine-associated mortality in the Southern Hemisphere

It’s a long analysis with reems of country graphs. The gist isn’t hard to follow though, if you keep your finger hovering above that Page Down button.

They make a lot of connection with the timing of the vaccine rollouts in each country - which is why they are so confident they have causality, and not anything else to do with covid. They say there are no exceptions.

As you’d expect based on this, their conclusion is very grim.

In an accompanying statement their group says matter-of-factedly:

"The paper is based on 17 countries in the Southern Hemisphere and equatorial region. A definite causal link is shown between many peaks in all-cause mortality and rapid vaccine rollouts. The authors quantify the fatal toxicity risk per injection, which is exceedingly large in the most elderly.

The authors conclude that governments should immediately end the policy of prioritizing elderly people for COVID-19 injection."

Well they aren’t over-egging it, that’s for sure.
:grimacing:

Abstract
Seventeen equatorial and Southern-Hemisphere countries were studied (Argentina,
Australia, Bolivia, Brazil, Chile, Colombia, Ecuador, Malaysia, New Zealand, Paraguay,
Peru, Philippines, Singapore, South Africa, Suriname, Thailand, Uruguay), which
comprise 9.10 % of worldwide population, 10.3 % of worldwide COVID-19 injections
(vaccination rate of 1.91 injections per person, all ages), virtually every COVID-19
vaccine type and manufacturer, and span 4 continents.2

In the 17 countries, there is no evidence in all-cause mortality (ACM) by time data of
any beneficial effect of COVID-19 vaccines. There is no association in time between
COVID-19 vaccination and any proportionate reduction in ACM. The opposite occurs.
All 17 countries have transitions to regimes of high ACM, which occur when the
COVID-19 vaccines are deployed and administered. Nine of the 17 countries have no
detectable excess ACM in the period of approximately one year after a pandemic was
declared on 11 March 2020 by the World Health Organization (WHO), until the vaccines
are rolled out (Australia, Malaysia, New Zealand, Paraguay, Philippines, Singapore,
Suriname, Thailand, Uruguay).

Unprecedented peaks in ACM occur in the summer (January-February) of 2022 in the
Southern Hemisphere, and in equatorial-latitude countries, which are synchronous with
or immediately preceded by rapid COVID-19-vaccine-booster-dose rollouts (3rd or 4th
doses). This phenomenon is present in every case with sufficient mortality data (15
countries). Two of the countries studied have insufficient mortality data in JanuaryFebruary 2022 (Argentina and Suriname).

Detailed mortality and vaccination data for Chile and Peru allow resolution by age and
by dose number. It is unlikely that the observed peaks in all-cause mortality in JanuaryFebruary 2022 (and additionally in: July-August 2021, Chile; July-August 2022, Peru), in
each of both countries and in each elderly age group, could be due to any cause other
than the temporally associated rapid COVID-19-vaccine-booster-dose rollouts.

Likewise, it is unlikely that the transitions to regimes of high ACM, coincident with the
rollout and sustained administration of COVID-19 vaccines, in all 17 SouthernHemisphere and equatorial-latitude countries, could be due to any cause other than the
vaccines.

Synchronicity between the many peaks in ACM (in 17 countries, on 4 continents, in all
elderly age groups, at different times) and associated rapid booster rollouts allows this3
firm conclusion regarding causality, and accurate quantification of COVID-19-vaccine
toxicity.

The all-ages vaccine-dose fatality rate (vDFR), which is the ratio of inferred vaccineinduced deaths to vaccine doses delivered in a population, is quantified for the JanuaryFebruary 2022 ACM peak to fall in the range 0.02 % (New Zealand) to 0.20 % (Uruguay).

In Chile and Peru, the vDFR increases exponentially with age (doubling
approximately every 4 years of age), and is largest for the latest booster doses,
reaching approximately 5 % in the 90+ years age groups (1 death per 20 injections of
dose 4). Comparable results occur for the Northern Hemisphere, as found in previous
articles (India, Israel, USA).

We quantify the overall all-ages vDFR for the 17 countries to be (0.126 ± 0.004) %,
which would imply 17.0 ± 0.5 million COVID-19 vaccine deaths worldwide, from 13.50
billion injections up to 2 September 2023. This would correspond to a mass iatrogenic
event that killed (0.213 ± 0.006) % of the world population (1 death per 470 living
persons, in less than 3 years), and did not measurably prevent any deaths.

The overall risk of death induced by injection with the COVID-19 vaccines in actual
populations, inferred from excess all-cause mortality and its synchronicity with rollouts,
is globally pervasive and much larger than reported in clinical trials, adverse effect
monitoring, and cause-of-death statistics from death certificates, by 3 orders of
magnitude (1,000-fold greater).

The large age dependence and large values of vDFR quantified in this study of 17
countries on 4 continents, using all the main COVID-19 vaccine types and
manufacturers, should induce governments to immediately end the baseless public
health policy of prioritizing elderly residents for injection with COVID-19 vaccines, until
valid risk-benefit analyses are made.

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There is the question of validation of the analysis. This isn’t a medical study as such, with lots of medical issues to be measured and evaluated. Rather these analysts have gone and got country mortality and vaccination data and put it together.

I don’t expect there is a formal peer review process, but people will try to validate the analysis.
I expect it to stand up - if there is a problem it might be in interpreting the data that’s gone into the work. Mortality figures should be reliable. Vaccination rollout data may not be perfect, but IMO it’s hard to see it being qualitatively wrong in 17 countries.
And at the end of the data the pattern of the excess mortality is similar to that in western countries. I think Rancourt’s group may have already analysed those too.

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