Did the roll-out of approximately 350 million doses in India between April-July 2021 cause 3.7 million deaths?

A paper by the intrepid Denis G. Rancourt, PhD here and covered here analysed the “unique, sudden, unprecedented and extraordinarily large excess all-cause mortality event in April-July 2021”

On a side note, I have seen no updates on the murder charges laid against Bill Gates et al since 17 November 2022 in the Bombay High Court – maybe a few hundred lakhs exchanged hands?

Back to the Rancourt paper – “India experienced an extraordinary excess-mortality shock in April through July 2021, not seen in any other country in the world.”

Media coverage? Crickets. 3.7 million excess deaths and not a hint of the rubbing of hind legs to cross reference the “vaccine” roll-out with excess mortality.

Well except for that leading member of the “Trusted News Initiative” the left wing comic rag, the BBC ,which, of course, made no reference to the “vaccine” roll-out. Covid-19: India excess deaths cross four million, says study - BBC News “Taken together, the researchers found that excess deaths were estimated to be in the range of 3.4 million to 4.7 million - about 10 times higher than India's official Covid-19 death toll.”

Back to the Rancourt paper - “This 4-month April-July 2021 excess mortality event in India .. represents the great majority of excess all-cause deaths for the entire Covid period examined since a pandemic was declared by the World Health Organization on 11 March 2020.”

“When such a large, unique, and sudden feature in mortality of all causes occurs in any jurisdiction, it demands thorough investigation, if the cause is not empirically obvious, such as a massive earthquake or a genocidal military attack. This holds even during a declared pandemic, given the unique, sudden, unprecedented and large-magnitude nature of the event in India.”

“..excess mortality event coincides in time with India’s vaccine rollout, starting on 1 March 2021 with those 60 years and older and those over 45 years and having “comorbidities”..” , “..extended to all residents over 45 years on 1 April 2021; and coinciding in time with the government’s 4-day Teeka Utsav ("Vaccine Festival") from 11 to 14 April 2021, in which some 100 million vaccine doses were administered by its completion..”

There are multiple charts in Rancourts paper that support his thesis. He makes these two damning points:

1 - The mortality event is unique to India, sudden, unprecedented, massive and synchronous with India’s vaccine rollout to the most elderly and most fragile (comorbidity) residents (Figures 1-8).

2 - By comparison, in relative terms, there were no significant mortality events and there was no significant cumulative excess mortality prior to April 2021, during more than a year of the declared pandemic (Figures 1-6)

What conclusions might a “prudent person” draw from these points?

Rancourt makes several other equally damning points and places these in the context of observations in the US. Another point he makes is the incidence of excess mortality that coincides with vaxx roll-out by region. (At least I think this is what he is saying!).

5 - The magnitude of the April-July 2021 excess all-cause mortality event (normalized by population) is highly heterogeneous from region to region in India (above-cited references). This suggests that the net regional excess mortality is related to the underlying heterogeneity of health status, and to differences in health-status group selection, which were actually vaccinated in a region; rather than being due to a given infection fatality ratio (and its age profile) for the rapid spread of an infectious disease, applied to all regions similarly.”

Excess all-cause mortality is (almost immediately) synchronized with vaxx roll-out, rather than the gradual spreading one would expect to see for a pandemic. “..6 - The April-July 2021 excess all-cause mortality event occurs simultaneously across India, as do the national vaccine rollout and Prime Minister Modi’s "Vaccine Festival" intervention, rather than showing any distribution of starting times, which would be compatible with a spreading infectious disease seeding different regions at different times and spreading at different rates depending on regional differences of social and health conditions.” Correlation does not necessarily equal causation, until it is blindingly obvious that it does.

The entire Rancourt paper (15 pages of text and charts with 3 pages of references) is well worth a read.

Of course, observational data for hundred of millions of real people is ignored by scientists that prefer double blinded RCT for a few thousands – as with the experience in the Indian State of Uttar Pradesh where IVM protocols OBLITERATED C19 entirely amongst the States 240 million people. But hey, that’s what goes for the blood money surrounding big pharma “science” these days, right?