'Covid-19 vaccine-associated mortality in the Southern Hemisphere'. Rancourt et al, found no evidence of ACM benefit in any of the 17 countries studied; and unprecedented peaks were temporally linked

Summary is provided, and Philippines data is extracted to facilitate access by my readers. vDFR in Philippines is equivalent to flu mortality at 0.16%. This 180-page paper is absolutely damning!

The preprint paper can be accessed here. It is detailed, precise, chilling and devastating! It is evidence of a medical holocaust! It is written in clear language. It should be reading material for ALL health officials, all doctors, and all government policy makers.

ACM = All-cause mortality. This does not consider cause of death.

Excess Mortality = population deaths that would not have been expected to occur based on historical trending.

High ACM = high rates of excess mortality, deaths that would not have been expected given historical patterns, and without some external cause.

vDFR = Vaccine Dose Fatality Rate. This is the ratio of inferred vaccine-induced deaths to vaccine doses administered. It measures acute death outcomes from the vaccine intervention! In earlier research, the researchers found that vDFR is exponential with age, doubling for every 5 years of age, and reaching ~ 1% for 80-year-olds.

All of the source data used by Rancourt et. al. is publicly accessed. The Philippines data was extracted from OWID, which I have observed to closely track with publicly locally reported outcomes.

The authors have developed a robust method ideally adapted to the nature of ACM data, described in the paper, for generating historical-trend baseline for a period (or peak) of mortality (Method 1). A second method (Method 2), is also described in detail.

The paper covers 17 equatorial and Southern-hemisphere countries, representing 9.1% of world population and 10.3% of Covid-19 injections. Brand and mix of products dosed varied across countries.

Key overall findings include:-

• NO EVIDENCE in any of the 17-countries of any beneficial effect of Covid-19 vaccines.

• No detectable excess ACM in the 1st year of the pandemic (before vaccine rollout) for 9/17 countries. The Philippines was included in this list.

• All 17 countries transitioned to high ACM concurrent with Covid-19 vaccine deployment and administration.

• Unprecedented peaks in ACM occurred in January-February of 2022, synchronous or immediately preceded by booster dose rollouts.

• Synchronicity between peaks in ACM across 17 countries, on 4 continents with vaccine and booster rollouts allows conclusion on causality, and accurate quantification of toxicity.

• Overall all-ages vDFR was found to be 0.126 ± 0.004%, implying 17 million ± 0.05 Covid-19 Caused Vaccine Deaths from 13.5 billion injections up to 2 September 2023.

• The vaccines have caused 1 death per 470 persons in 3 years and did not measurably prevent any deaths.

Philippines Data and vDFR Results

For the Philippines, please bear in mind that both the 2021 and the 2022 ACM data are still preliminary. The 2021 data is (purposefully?) much less complete than the 2022 data! If complete data is ever released, the vDFR is expected to rise, perhaps considerably!

I am presenting just the Philippines data below. Data for the other 16 countries can be viewed in the paper.

Figure 2 shows the ACM by time (blue), vaccines administration by time (orange) and 1-year backward moving average of ACM (red). The vertical grey line shows the 11 March 2020 pandemic declaration date.

Table 1, shows total excess mortalities in the Covid and Vaccination periods for the 17 countries studied. The Philippines shows 268,192 excess mortality, 264,748 of which occurred during the vaccination period. Readers please be aware, that my data shows, that there was already some excess mortality in January and February of 2021, before the official start of vaccination on 1st March 2021. Please also be aware that vaccination rollouts started, unofficially particularly among military and some others who could get early access to priority dosing, in these months!

The Philippines population from OWID is listed as 115.5 million persons. This is higher than the PSA census data, which sets the population at close to 110 million. The ACM data is generally congruent with PSA data sources. Official dosing in the Philippines (via DOH / FDA) is slightly higher than the OWID data at about 181 million doses.

Figure 4 shows all-ages national ACM (black) by month for 2017 - 2023 compared to Covid-19 Vaccine rollouts. Primary series is in blue. All subsequent (booster) doses are in orange. The peak for boosters and excess deaths in early 2022 is stunningly aligned.

Please be aware that the end of 2021 ACM data in the Philippines is incomplete. That soaring of the black line representing September’s peak deaths will surely not fall behind the blue dosing line, if the data were fully compiled! My figure on dosing and deaths, raw data! The rising deaths in September should have kept going up through to the end of the year as the dosing kept rising!

Figure 5 shows national ACM from 2015 to 2023. Lower than usual ACM in 2020 followed by soaring ACM in 2021, which does not return to baseline in 2022. This figure will be far more damning if the data were complete!

Figure 6 shows ACM and Vaccination by Month.

Figure 7 shows the integrations corresponding to vaccination periods illustrated in Figure 6.

The authors arrive at all an all-ages national dose fatality rate.

They go on to discuss causality and proof of causality. They also present some country case studies, and discuss the age-related rise in vDFR. Their final conclusions (Section 7): -

1. Causality of the vaccines in excess mortality is proven

2. Actual vaccine mortality is much larger than incorrectly inferred from faulty data. Peaks in ACM are caused by the Covid-19 at a rate of about 1 death per 800 injections, which is about 1000 times higher than serious adverse reactions for traditional vaccines.

3. The policy of prioritizing elderly residents for Covid-19 vaccination must be ended.

The currently calculated Covid-19 vDFR for the Philippines of 0.16% is the same as the average fatality rate for FLU (US CDC report on 9 flu seasons). How can the fatality rate from a vaccine that is meant to be given to improve health, that is given to healthy people be the same as for an infection?

As stated, I firmly believe that the Philippines calculated vDFR is an underestimate, due to incomplete data.

The current vDFR will rise as medium and long-term AEFI continue to rise.

As usual, I call on the Philippines Statistics Authority to update their vital statistics data. I call on the Philippines Congress to investigate the Covid-19 pandemic response and the excess ACM over the pandemic years!