Topic: Mortality Modeling

4 chapters across the catalog

The scientific community is criticized for using the Nobel Prize to validate vaccine technology that critics claim is harmful. Modeling from groups like Imperial College London, often funded by Bill Gates, predicted millions of deaths that never materialized. These "garbage science" models are described as propaganda tools used to justify the suspension of civil liberties and the rollout of experimental medical treatments.

The scientific paper by Watson et al., which claimed vaccines saved 14 million lives, is dismissed as "garbage science" based on flawed mathematical modeling. Analysis of Canadian mortality data shows that the paper's predictions of "saved lives" align perfectly with the timing of vaccine rollouts, suggesting the results were manufactured. The study's assumptions are characterized as part of a broader propaganda effort to justify the global vaccination campaign.

WATCH: Top Physicist PROVES Covid Shot Caused 17 Million Deaths Worldwide
16:09 - 21:14

WATCH: Top Physicist PROVES Covid Shot Caused 17 Million Deaths Worldwide

Vaccine Rollout Correlations in Canada and Romania

Dr. Dennis Rancourt compares mortality data between Canada and Romania, arguing that excess deaths align perfectly with vaccine and booster rollouts. He dismisses mathematical models claiming lives were saved, calling them the product of "bought-out scientists." Rancourt highlights that Romania saw massive mortality peaks specifically during the rollout of booster doses, suggesting an amplifying toxic effect.

Desmet recounts how he began articulating the mass formation theory during the COVID-19 pandemic after noticing that mathematical models dramatically overrated the virus's danger. He points to Sweden, where predicted deaths failed to materialize despite a lack of lockdowns, as proof that the narrative was not based on objective data. He concludes that the public's refusal to acknowledge statistical errors indicated a psychological rather than a rational process.