Are We in a State of Hysteria Over COVID-19? (4)

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COVID Act Now site map

Reasons to Wonder

Model Based Projections

COVID Act Now Model

This model is summarized as follows:

The Imperial College report was also the basis for the modeling used by the website COVID Act Now, which local and state officials in the U.S. then used to issue “shelter-in-place” mandates. COVID Act Now, which was founded by a handful of Democratic activists in Silicon Valley, is an online mapping tool that generates models predicting coronavirus hospitalizations, which have also already proved to be wildly inaccurate.

Note that this model is based on the discredited Imperial Collage Model.  These Democratic activists have publicly stated their bias (emphasis added).

So why is the organization or seemingly innocent online mapping tool using inaccurate algorithms to scaremonger leaders into tanking the economy? Politics, of course.

Founders of the site include Democratic Rep. Jonathan Kreiss-Tomkins and three Silicon Valley tech workers and Democratic activists …

Perhaps the goal of COVID Act Now was never to provide accurate information, but to scare citizens and government officials into to implementing rash and draconian measures. The creators even admit as much with the caveat that “this model is designed to drive fast action, not predict the future.”

They generated this model under the guise of protecting communities from overrun hospitals, a trend that is not on track to happen as they predicted. Not only is the data false, and looking more incorrect with each passing day, but the website is optimized for a disinformation campaign.

This example of highly partisan, politicized “scientific modeling” should cause great concern to all U.S. citizens.  What is exposed here is that naked use of, at best unreliable and at worst knowingly false, information to attain political power.  If we fail to recognize this situation and demand accountability then we are meekly submitting to these Pied Pipers of civilizational death and destruction.

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