Topic: All Cause Mortality

Steve Kirsch introduces a novel, objective method for analyzing all-cause mortality using only birth, death, and vaccination dates. His analysis of data from the Czech Republic and other regions suggests a 20% to 36% increase in mortality following Pfizer vaccinations. Kirsch argues that this method proves existing peer-reviewed studies claiming vaccine efficacy are fundamentally flawed and that the injections have caused millions of deaths worldwide.

Steve Kirsch explains that vaccines are not supposed to increase non-disease all-cause mortality. He discusses potential reasons for the Pfizer mortality signal, including DNA contamination like the SV40 promoter or manufacturing defects in the mRNA fragments. He criticizes the FDA and EMA for failing to investigate these discrepancies.

Tech entrepreneur Steve Kirsch discussed his analysis of record-level vaccine data from the Czech Republic, which showed Moderna was significantly deadlier than Pfizer. Kirsch argued that governments worldwide are hiding all-cause mortality data to protect the "safe and effective" narrative. He cited the New Zealand data leak as further evidence that the shots have caused a massive spike in deaths that officials refuse to acknowledge.

Dennis Rancourt, a PhD in physics, presents research claiming that official COVID-19 measures, rather than a virulent pathogen, caused approximately 17 million deaths globally. The report argues that psychological stress, social isolation, and the suppression of the immune system led to fatal bacterial pneumonia and other illnesses. The segment traces the history of modern Western medicine to the 1910 Flexner Report and the Rockefeller Foundation, alleging a long-standing institutional effort to maintain social dominance hierarchies through trauma-based mind control and "psychogenic death."

Dr. Dennis Rancourt joins the program to discuss his tenure as a physics professor and his current role at Correlation Research in the Public Interest. Rancourt has published over 100 peer-reviewed articles and now focuses on analyzing all-cause mortality data to identify societal impacts. His team’s findings suggest a massive global death toll directly linked to the rollout of COVID-19 injectable technologies.

Dr. Dennis Rancourt explains that all-cause mortality is the most dependable data for tracking societal health, as nations meticulously record deaths. He argues that the 1918 "Spanish Flu" was actually caused by bacterial pneumonia rather than a virus, affecting young people living in poor conditions post-WWI. Rancourt asserts that modern "pandemics" of 1957, 1968, and 2009 show no detectable excess mortality in historical records.

The current global situation is compared to the demoralization and destabilization phases described by KGB defector Yuri Bezmenov. In Peru, the mobilization of 10,000 military reservists to forcibly test and isolate citizens resulted in a massive spike in all-cause mortality. Data shows that mortality peaks did not cross jurisdictional borders, suggesting that deaths were caused by local policy assaults rather than a spreading virus.

Data from Israel and Australia indicates that vaccine toxicity increases exponentially with the age of the recipient. Analysis shows that each subsequent booster dose carries a higher risk of mortality than the initial injections. In Cuba, the rollout of a domestically developed vaccine was followed by a unique and significant peak in excess mortality, further supporting the causal link between the injections and death.

An October 2020 FDA presentation reportedly predicted many of the adverse effects later seen with the COVID-19 vaccines, including myocarditis and blood clots. Dr. Rancourt presents slides debunking the "Watson et al." paper, which claimed vaccines saved millions of lives. The data from Canada shows that mortality peaks occurred precisely when vaccines were rolled out, contradicting the narrative that the injections reduced death rates.

The medical establishment is identified as a leading cause of death in the Western world, often cited as the third leading cause in scientific journals. This institutional structure is described as a mechanism to maintain a dominance hierarchy by keeping populations in a state of illness. Data suggests that medical rollouts are temporally associated with significant peaks in all-cause mortality across various age groups.

Dr. Dennis Rancourt and an international research team calculate that COVID-19 vaccines have caused approximately 17 million deaths worldwide based on all-cause mortality data. Analysis of death certificates shows immediate spikes in mortality following booster rollouts, particularly in the Southern Hemisphere during summer months when deaths are historically at their lowest. These findings are consistent across 17 countries where high-quality data is available.

All-cause mortality is presented as the most dependable data collected by nations, reflecting every major phenomenon from wars to economic collapses. Historical data shows predictable seasonal variations and spikes related to specific events like the Dust Bowl or the Vietnam War. This metric is used to challenge CDC claims regarding past pandemics by looking for detectable anomalies in death statistics.

Dr. Dennis Rancourt presents research on all-cause mortality, arguing that historical data from 1900 to the present shows predictable seasonal patterns and spikes related to wars or economic collapses. He asserts that CDC-claimed pandemics in 1957, 1968, and 2009 produced no detectable excess mortality. Rancourt further claims the 1918 Spanish Flu was not a viral respiratory disease because it primarily affected young adults rather than the elderly.

Dr. Dennis Rancourt discusses unprecedented summer mortality peaks in the United States, which he correlates with "vaccine equity" programs targeting poor and rural populations. He presents data showing a near-perfect proportionality between a state's poverty level and its excess mortality rate. Rancourt argues that viruses do not naturally select for poverty, suggesting the deaths were caused by socioeconomic stress and aggressive medical interventions.

Dr. Dennis Rancourt presents a scientific analysis of all-cause mortality data from 1900 to the present, arguing that historical "pandemics" like the 1957 and 1968 flu did not cause detectable excess deaths. He asserts that the 1918 Spanish Flu was not a viral respiratory disease but was related to other factors, as it primarily killed young adults rather than the elderly. Rancourt emphasizes that all-cause mortality is "hard data" that cannot be easily manipulated by government narratives.

At the International Crisis Summit in Romania, Dr. Denis Rancourt and his collaborators discuss their paper on the 17 million global vaccine deaths. They emphasize the use of "all-cause mortality" as unbiased data that avoids the pitfalls of misattributed COVID-19 death counts. The researchers highlight the "temporal association" where mortality peaks occur immediately following the rollout of vaccine boosters across various jurisdictions.

Edward Dowd presents charts comparing excess death rates in high-vaccination versus low-vaccination states. He argues that the spike in millennial deaths was a "temporal event" linked to the timing of vaccine mandates rather than the Delta variant. Dowd emphasizes that the rate of excess death in the 25-44 age group was significantly higher than in older cohorts, pointing to the vaccine as the primary cause.

A montage of individuals collapsing after vaccination is presented as evidence of a sudden neurologic and cardiac insult. Dr. Lee Merritt discusses insurance data from Indiana showing a 40% increase in all-cause mortality among working-age adults in 2021. She characterizes this as an "extinction-level event" and urges those who have been vaccinated to seek ways to mitigate the damage to their immune systems.

The conversation touches on the history of harmful vaccine additives, such as squalene in the anthrax vaccine, which was linked to Gulf War Syndrome. Dr. Lee Merritt reiterates that all-cause mortality data is the most reliable indicator of the vaccine's impact, noting that 2021 saw a historic spike that cannot be explained by the virus alone. She urges listeners to look at the "preponderance of evidence" from insurance companies, athletes, and frontline reports.