All-cause mortality is the most accurate and most reliable scientific data for analysing the “Covid pandemic” – or any pandemic – because it doesn’t discriminate and it has no bias.
It provides the most accurate representation of mortality rates because it captures the full spectrum of deaths within a given population, regardless of the underlying cause. By encompassing all deaths, it avoids potential biases that may arise from focusing on specific causes of death, which could inadvertently overlook less prominent or misclassified causes.
When time, age, and region are used as additional variables, the correlations become (nearly) bulletproof, as noted by Rancourt.
Another important paper
His team previously authored a huge paper in which they concluded that all-cause mortality data shows no viral outbreak in 2020.
And he has co-authored yet another paper, COVID-Period Mass Vaccination Campaign and Public Health Disaster in the USA.
Summary of the paper
Rancourt’s team analyses American all-cause mortality data during the ‘pandemic’, correlating it with the ‘vaccination‘ drive and socio-economic elements. It dissects data until early February 2022, contrasting mortality against vaccination stats by time, age, and state. The aim of the study is to spot any temporal links suggesting vaccine impacts. It also contrasts excess mortality throughout the same time periods.
The results show that the ‘vaccine’ drive didn’t cut all-cause mortality in the US.
In fact, no deaths were prevented by the jab, while high excess mortality persisted throughout..
This mortality, they show, is linked to poverty and other socio-economic and health factors (such as lockdowns, stress, isolation, and more).
For a detailed breakdown of the study, I recommend watching the presentation conducted by Rancourt and his co-authors (Marine Baudin and Jérémie Mercier).
In short, there was no pandemic.