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There Was No Pandemic
El ensayo se basa en mi testimonio del 17 de mayo de 2023 para la Encuesta Nacional de Ciudadanos (NCI) en Ottawa, Canadá, mi libro de 894 páginas de exposiciones en apoyo de ese testimonio y nuestra investigación continua.
Blacksheep Twitter: https://twitter.com/Blacksh49424801
Soy un consumado cientÃfico y fÃsico interdisciplinario, y ex profesor titular de fÃsica y cientÃfico principal, originalmente en la Universidad de Ottawa.
He escrito más de 30 informes cientÃficos relevantes para COVID, a partir del 18 de abril de 2020 para la Asociación de Libertades Civiles de Ontario (ocla.ca/covid), y recientemente para una nueva corporación sin fines de lucro (correlation-canada.org/research). En la actualidad, todo mi trabajo y entrevistas sobre COVID están documentados en mi sitio web creado para eludir el aluvión de censura (denisrancourt.ca).
Además de las revisiones crÃticas de la ciencia publicada, los principales datos que analizamos mis colaboradores y yo son la mortalidad por todas las causas.
La mortalidad por todas las causas por tiempo (dÃa, semana, mes, año, perÃodo), por jurisdicción (paÃs, estado, provincia, condado) y por caracterÃsticas individuales de los fallecidos (edad, sexo, raza, alojamiento) es el dato más confiable para detectar y caracterizar epidemiológicamente los eventos que causan la muerte, y para medir el impacto a nivel poblacional de cualquier aumento o colapso en las muertes por cualquier causa.
Dichos datos no son susceptibles a sesgos en los informes ni a ningún sesgo en la atribución de causas de muerte. Lo hemos utilizado para detectar y caracterizar la estacionalidad, las olas de calor, los terremotos, los colapsos económicos, las guerras, el envejecimiento de la población, el desarrollo social a largo plazo y los asaltos sociales como los que ocurrieron en el perÃodo COVID, en muchos paÃses del mundo y en la historia reciente, desde 1900 hasta el presente.
The essay is based on my May 17, 2023 testimony for the National Citizens Inquiry (NCI) in Ottawa, Canada, my 894-page book of exhibits in support of that testimony, and our continued research.
I am an accomplished interdisciplinary scientist and physicist, and a former tenured Full Professor of physics and lead scientist, originally at the University of Ottawa.
I have written over 30 scientific reports relevant to COVID, starting April 18, 2020 for the Ontario Civil Liberties Association (ocla.ca/covid), and recently for a new non-profit corporation (correlation‑canada.org/research). Presently, all my work and interviews about COVID are documented on my website created to circumvent the barrage of censorship (denisrancourt.ca).
In addition to critical reviews of published science, the main data that my collaborators and I analyse is all‑cause mortality.
All-cause mortality by time (day, week, month, year, period), by jurisdiction (country, state, province, county), and by individual characteristics of the deceased (age, sex, race, living accomodations) is the most reliable data for detecting and epidemiologically characterizing events causing death, and for gauging the population-level impact of any surge or collapse in deaths from any cause.
Such data is not susceptible to reporting bias or to any bias in attributing causes of death. We have used it to detect and characterize seasonality, heat waves, earthquakes, economic collapses, wars, population aging, long-term societal development, and societal assaults such as those occurring in the COVID period, in many countries around the world, and over recent history, 1900-present.
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