June 29, 2023: New Posts at Truth Comes to Light
Aging Iraq Invaders Keep Accidentally Saying ‘Iraq’ Instead Of ‘Ukraine’
by Caitlin Johnstone
President Biden accidentally referred to Putin’s war in “Iraq” when answering questions from the press, a year after former president George W Bush made the same gaffe. Both men played crucial roles in the push to invade Iraq.
Asked on Wednesday whether the short-lived Prigozhin rebellion was a sign that Putin was weakening, Biden replied, “It’s hard to tell really. But he’s clearly losing the war in Iraq.”…
There Was No Pandemic: Denis Rancourt’s Testimony at National Citizens Inquiry Canada
Live video presentation took place on June 28, 2023. Find it at National Citizens Inquiry CA Rumble channel or Denis Rancourt Odysee channel.
There Was No Pandemic
by Denis G. Rancourt, PhD
June 22, 2023
This is radical.
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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