Topic: Seasonal Variation

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 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.