This Could Be a Clue as to why Minnesota’s COVID-19 model was wrong by at least one, and perhaps two, orders of magnitude

Powerline Blog ^ | 05/16/2020 | John Hinderaker

[dila813]

And as you use it, it breaks for events not modeled in the reference data.

[LaRueLaDue]

Yes. That is why it takes so long to calibrate a GW model, as it is dependent on the amount, distribution, and quality of the data. And that data is not easy to collect, and has to be done repeatedly over a long period of time.

[353FMG]

Used Somalian mathematics?

[grey_whiskers]

I originally was taken in by his projections, reasoning that he would not wish to suffer his loss of reputation should he be proven grossly wrong.

That was before I realized how corrupt the WHO, China, Bill Gates, and Big Pharma were, and how fascist the Blue State governors.

One might as well call the New York Nursing Homes Katyn forest, after the fact.

[grey_whiskers]

Let me put it this way. When I finished my doctorate, I had to test the computer code against the published work of five or six other groups, whose results spanned a period of decades.

Only when I was able to reproduce their results, to three or four decimal places, was my code deemed bug-free.

[grey_whiskers]

Yes. That is why it takes so long to calibrate a GW model, as it is dependent on the amount, distribution, and quality of the data. And that data is not easy to collect, and has to be done repeatedly over a long period of time.

It takes a long time to get all those thumbs to fit on the scale simultaneously without anyone noticing.

[grey_whiskers]

[mdmathis6]

Ahh but integrity includes honesty when beliefs or plans are shown to be wrong and one acknowledges errors and thus shows one self to be teachable. One has no integrity when one has no self honesty.

[dila813]

it would be so much easier if they gave you their work, with that many groups, who knows how accurate their measurements were unless you had done a study of their samples.

[9YearLurker]

Even worse, the academic in charge of this got her PhD from the University of Washington and her longest-running grant from the U of W:

https://directory.sph.umn.edu/bio/sph-a-z/shalini-kulasingam

All roads of this massive screwing lead to Bill Gates.

[tbw2]

Niel Ferguson actually has a HISTORY of sky high death estimates.

His projections led to millions of British livestock killed due to hoof and mouth disease projections. And it turned out inspectors were spreading it through unsterilized shoes.

He predicted up to fifty thousand dead from mad cow disease.
Source: https://www.theguardian.com/education/2002/jan/09/research.highereducation

He predicted up to 200 million dead from bird flu. Note that’s worse than the Wuhan virus and they still didn’t lock everything down.
Source: https://www.theguardian.com/world/2005/sep/30/birdflu.jamessturcke