In 1993, The World Economic Forum created the Young Leaders program. The aim of this program was to identify & promote future global leaders.

It's amazing how this program reads like "who's who" for the biggest supporters of the Covid pandemic. Let's take a look and see:

Jeff Zients - White House Covid Coordinator
Stephane Bencel - Moderna CEO
Jeremy Howard - Masks for All Lobby Group
Lenna Wen - CNN Covid Analyst
Eric Feigl Ding - Twitter Zealot
Devi Sridhar - Zero Covid Professor
Gavin Newsom
Jacinda Ardern
Emmanuel Macron
Angela Merkel
What are the chances it's a coincidence that the Globalist WEF had selected these "leaders" who parrot, support and implement the exact protocols the WEF needed to ensure their "Great Reset"? Absolutely zero.

Read the entire article here:

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global health policy in 2020 has centered around NPI's (non-pharmaceutical interventions) like distancing, masks, school closures

these have been sold as a way to stop infection as though this were science.

this was never true and that fact was known and knowable.

let's look.

above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.

we can see this same relationship between NPI and all cause deaths.

this is devastating to the case for NPI.

clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.

barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.

this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.

there is no science here nor any data. this is the febrile imaginings of discredited modelers.

this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.

everyone got the same R