All-cause mortality is the most accurate and most reliable scientific data for analysing the “Covid 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 Denis.
He previously co-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.
For a detailed breakdown of the study, I recommend watching the presentation conducted by Denis and his co-authors (Marine Baudin and Jérémie Mercier).
Their research includes vaccination data.
For a simpler breakdown of the study, listen to my following conversation with Denis.
There was no pandemic.
Subscribe to my War Report, sent to your inbox every few days.
