25 September 2023
A new report published by retired physics professor Denis Rancourt and colleagues presents perhaps the most powerful compilation of evidence yet, that the experimental injections marketed as ‘COVID-19 vaccines’ are responsible for the surge in excess mortality (deaths above the expected number, taking population structure into account) that has been observed in Australia and many other countries since 2021.
Rancourt has written prolifically about every element of the arse-backwards response to COVID-19, and I’ve discussed several of his previous papers in my articles, including New study shows face masks are dangerous to children’s health, If the COVID-19 injections work, why are more people dying? Part 1, and The Great Australian Die-Off.
This latest paper, titled ‘COVID-19 vaccine-associated mortality in the Southern Hemisphere‘ will almost certainly be Rancourt’s magnum opus: 180 pages of graphs, charts and data analysis that methodically, mercilessly bludgeon to death the ludicrous claim that these novel injections saved millions of lives.
As always, I encourage you to read the paper for yourself – this is a crucial part of your training in bullsh*t detection – but here’s the gist of it:
- Rancourt and his three co-authors analysed all-cause mortality data obtained from the World Mortality Dataset, and vaccination administration data obtained from Our World in Data, for 17 equatorial and southern hemisphere countries, namely Argentina, Australia, Bolivia, Brazil, Chile, Colombia, Ecuador, Malaysia, New Zealand, Paraguay, Peru, Philippines, Singapore, South Africa, Suriname, Thailand and Uruguay. These countries are shaded red in the map below:
- These 17 countries collectively comprise 9.1 per cent of global population, and received 10.3 per cent of all the COVID-19 injections administered throughout the world – a vaccination rate of 1.91 injections per person.
Virtually every type of COVID-19 injection was used by at least one of these countries: the Moderna and Pfizer mRNA shots; the Johnson & Johnson, AstraZeneca, Covishield and Sputnik V adenovirus vaccines; the Covaxin, Covilo and Sinovac whole inactivated virus-based COVID-19 vaccines; and the Novavax protein subunit vaccine. - There is no evidence in any one of the 17 countries, or in the collective dataset, that the COVID-19 injections reduced all-cause mortality (ACM). ACM was selected as the outcome of interest, because it is not subject to either reporting bias or bias in attributing cause of death, thus rendering moot the ‘died with’ vs ‘died from’ conundrum. It is also the best metric of the impact of any factor on overall number of deaths within a population. Thus, it can be used to measure the real-world safety and effectiveness of pharmaceutical products; a truly safe and effective vaccine would reduce the number of lives lost to the infectious disease it protects against, without increasing the number of deaths from other causes.
- In all 17 countries, ACM increased after COVID-19 injections were administered to their populations.
- In nine of the 17 countries (Australia, Malaysia, New Zealand, Paraguay, Philippines, Singapore, Suriname, Thailand and Uruguay), there was no excess mortality in the approximately one-year period between the World Health Organisation’s (WHO) declaration of a pandemic, on 11 March 2020, and the commencement of the COVID-19 injection roll-out. In other words, the supposedly deadly pandemic did not result in any extra deaths in these nine countries, during the period in which SARS-CoV-2 was allegedly at its most virulent. For those remaining Australian and New Zealander Branch Covidians, who are still clinging to the dogma that their nations were only saved from becoming charnel-houses by permitting their so-called leaders to turn them into island fortresses, it is noteworthy that Paraguay, which had no excess mortality in the pre-vaccine era, shares a 750 kilometer-long land border with Bolivia, which had a major peak in excess mortality during this same period. Who knew that viruses could read maps?
Below are some examples of these countries in which the deadly pandemic failed to kill any extra people before the injection roll-out. The blue line represents all-case mortality, the yellow line shows vaccine doses, and the red line depicts the one-year moving average, which is the average ACM for the year ending at the said point in time, and the vertical grey line represents the WHO’s declaration of a pandemic in March 2020, which precipitated massive changes in government policy and medical protocols for treatment of respiratory disease. Note the seasonal pattern of deaths (winter peaks, associated with ‘flu season’) in the three southern hemisphere countries, the absence of any discernible seasonal pattern of ACM in equatorial Singapore, the unseasonal spikes in mortality after the injection roll-out, and the unprecedented surge in winter mortality in Australia and New Zealand, after the booster campaign in early 2022:
- Of the eight countries which did have excess ACM in the pre-vaccination period, two – Argentina and Brazil – simply had higher numbers of deaths during their regular flu season. The remaining six – Bolivia, Chile, Colombia, Ecuador, Peru and South Africa – had extraordinarily high, and completely unprecedented, spikes in ACM that occurred after the WHO’s declaration of the COVID-19 pandemic, but at different times in each country. These mortality peaks are not all congruent with a globally-spreading viral respiratory disease. The most likely explanation for these excess deaths is “sudden changes in medical and institutional protocols and government responses, tied to the declaration of a pandemic.”
See examples of these countries below. Remember, zero-excess-mortality Paraguay and catastrophically-high-excess-mortality Bolivia are neighbouring countries:
Although not mentioned in this paper, perhaps the most significant change in medical protocols was the precipitous decline in prescription of antibiotics in many jurisdictions. While antibiotics are generally inappropriate for use in viral infections, they are indicated for secondary bacterial pneumonia, which is now acknowledged to have driven a significant proportion of the deaths attributed to COVID-19. A private hospital network in Bolivia reported a steep decline in antibiotic prescriptions (from 61.71 antibiotic doses per 100 inpatient-days pre-pandemic, down to 39.79 doses per 100 inpatient-days during the pandemic). Not all classes of antibiotics saw decreased use during the declared pandemic, but one class that did was the macrolides. This category of antibiotics includes azithromycin, which has known antiviral and anti-inflammatory properties and was a key component of early treatment protocols devised by Didier Raoult and Vladimir (Zev) Zelenko. Use of antibiotics, including azithromycin, increased in Brazil and also remained high in Paraguay.
- Southern hemisphere countries have a very predictable seasonal pattern of deaths (winter peak, summer trough) and equatorial countries have no seasonal mortality variation. However, in the 15 countries for which sufficient mortality data were available, there were unprecedented peaks in ACM in the summer of 2022. These dramatic spikes in unexpected deaths either coincided with, or occurred shortly after, the rapid roll-out of COVID-19-vaccine booster doses (3rd or 4th doses). The association between vaccine roll-out and increased ACM is most easily visible in Australia, but is also evident in the other countries. Note that countries that had very high excess mortality in the pre-vaccine period would be predicted to have comparatively less excess mortality in the post-vaccine period, simply because their most medically fragile population has already been depleted; this is known as the pull-forward or harvesting phenomenon. See examples of two countries with no pre-vaccine excess mortality (Australia and Malaysia), and two countries with extraordinary pre-vaccine mortality spikes and suggestion of pull-forward mortality (Peru and South Africa):
- The vaccine-dose fatality rate (vDFR) – the ratio of vaccine-induced deaths to vaccine doses delivered in a population, inferred from excess mortality data – across all ages in all 17 countries studied was 0.126 per cent (that is, 126 deaths per 100,000 vaccine doses administered).
In the two countries for which granular data on age-group and vaccine dose roll-out are available (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).” Rancourt’s team’s previous analyses of data from India, Israel and the US found similar associations between advancing age and precipitously increasing vaccine-associated mortality. See charts from Chile below; observe how closely the spikes in death correlate with the roll-out of the 4th, or ‘booster’ shot in all age groups, and note also that those death spikes are highest in the oldest of the old:
- Rancourt and his co-authors, who publish under the banner ‘Correlation: Research in the Public Interest‘, are fully aware that their finding of a correlation between injection roll-outs and excess mortality, does not prove that the former caused the latter. There are criteria, however, for establishing causation; these are known as the Bradford Hill criteria or Hill’s Criteria for Causality, and I discussed them in If the COVID-19 injections work, why are more people dying? Part 2. Fifty years after the original nine criteria were proposed by Austin Bradford Hill, famed epidemiologist John Ioannidis argued that there are just three that are most critical for establishing causality: experiment, consistency (replication) and temporality (relationship in time). These three key criteria are amply fulfilled:
“Experiment: The same phenomenon is independently observed in distinct jurisdictions, for distinct age groups, and at different times, which constitutes ample verification in independent real-world large-scale experiments.
COVID-19 vaccine-associated mortality in the Southern Hemisphere
Temporality: The many step-wise increases and anomalous peaks in ACM are synchronous with vaccine rollouts; including in jurisdictions in which excess mortality did not occur until vaccination was implemented after approximately one year into the declared pandemic.
Consistency: The phenomenon is qualitatively the same and of comparable magnitude each time it is observed.”
- Furthermore, plausibility (another of the original nine Bradford Hill criteria) has been established through biopsy and autopsy studies of people who developed pathologies and/or died after receiving a COVID-19 injection.
- The claim of a causal relationship between the injections and excess mortality is further strengthened by the absence of a plausible alternative explanation. The fact that nine of the 17 countries studied by Rancourt and his co-authors – countries with great diversity of geography, population demographics and government response – had no detectable excess mortality from the time the pandemic was declared until injections began, rules out the SARS-CoV-2 virus itself as a plausible cause of the unprecedented surge of deaths.
Alternative explanations for the January-February 2022 ACM peaks include seasonal variations in death rates, extreme weather events or natural disasters, government responses and changes in medical protocols, and emergence of new and more virulent variants, but none of these are plausible explanations for the remarkably synchronous waves of death that coincided with injection roll-outs staged at different times in 17 different countries dispersed across four continents.
One of the alternative explanations for the excess deaths that Rancourt and his co-authors did not discuss was delayed effects of infection with SARS-CoV-2, or ‘long COVID’. This explanation is frequently offered by defenders of the Branch Covidian faith, but it, too, is simply implausible given the complete absence of excess mortality in nine of the 17 countries, most of which had wide dispersal of SARS-CoV-2 through their populations prior to launching mass vaccination campaigns:
Apparently, we are supposed to believe that the deadly delayed effects of a viral infection from which the vast majority of the population recovered unscathed, suddenly kicked in only after the novel injections were deployed. Right-oh.
- The claim that the COVID-19 injections saved lives is the easiest to dispatch: not one of the 17 countries analysed by Rancourt and his team (nor any of the other countries studied in their previous papers) had a decrease in all-cause mortality after these novel agents were deployed. In fact, the exact inverse occurred: sustained increases in ACM after vaccine roll-out, especially in the elderly. If COVID-19 ‘vaccines’ reduced serious illness and death, fewer people would die after receiving them. Full stop.
- Differences in excess mortality rates between the 17 countries in the vaccine period could be attributed to a slew of factors, including age structure and health status of the population, and type/s of injectable product used (the Johnson & Johnson and Covaxin shots appear to be the most deadly).
- Across the 17 countries included in this analysis, a staggering 73 percent of total excess deaths that occurred during the COVID period (from the WHO’s declaration of a pandemic in March 2020 to the end of data collection) are attributable to the COVID-19 injections.
- Extrapolating their vDFR calculations to the global population, Rancourt and his coauthors estimate that COVID-19 injections have caused roughly 17 million deaths worldwide, up to 2 September 2023. This calculation, based on actual numbers of excess deaths temporally associated with vaccine roll-outs, is one thousand-fold greater than estimates based on clinical trial reports, pharmacovigilance databases and causes of death recorded on death certificates, implying substantial undercounting and misattribution of vaccine-associated deaths.
If you’re thinking, ‘Hang on a minute, 17 million deaths is a LOT of corpses!!! How has this been missed?’, I’ll remind you of two things:- 166,324 people die each day (as of the date I wrote this post), which equates to 60,708,260 deaths per year, or about 161,888,700 deaths in the roughly two years and eight months between the launch of the COVID injections and the end of the data collection period used in this paper. An extra 17 million deaths is pretty easy to bury in that enormous number (if you’ll pardon the pun).
- 30 out of our 59 fearless leaders in the Australian Senate voted against Senator Ralph Babet’s motion to launch an investigation into the “concerning number of excess deaths in Australia in 2021 and 2022, as evidenced by recent all-cause provisional mortality data from the Australian Bureau of Statistics”. Here they are, in case you’d like to send a polite inquiry to the no voters, to ask them why they don’t think it’s important to find out why unprecedented numbers of Australians are dying prematurely:
What should you do with this information?
I don’t mean to be presumptuous, but I can guess what you’re thinking: ‘I already knew the jabs were killing people. How does this new paper add anything?’ And you’d be right to think that the publication of a new study, no matter how rigorous, isn’t going to change government policy or ensure justice for those who have been (and will continue to be) harmed by the experimental injections.
However, as Nebraska Senator Kathleen Kauth emphasised in our last interview, we need to arm ourselves with key pieces of information that categorically invalidate the false claims of the official COVID narrative. This paper comprehensively rebuts the false claim that the COVID injections saved lives. Save it to your hard drive, and even consider printing it out so that you can show it to people who still believe this false claim, and ask them to examine the graphs for themselves. If a picture speaks a thousand words, then multiple graphs showing surging deaths after each phase of the vaccine roll-out represent an entire encyclopedia.
Leave A Response