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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

Posted on 05/17/2020 8:41:24 AM PDT by SeekAndFind

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:

Before Friday, March 20, Marina Kirkeide, who graduated from the University of Minnesota College of Science and Engineering in 2019, was a School of Public Health part-time research assistant working on HPV transmission for Kulasingam. On a gap year before starting Medical School at the University in fall 2020, Kirkeide also had a second job as a lab tech at St. Paul’s Regions Hospital. That Friday, Kulasingam called her and two other research assistants and asked if anyone was available to “work through the day and night” to get a COVID-19 model to Governor Walz the following Monday. They all jumped at the chance.

The model was literally created over a weekend, in part, at least, by kids.

“I don’t think a lot of researchers get to work on something over the weekend and have public figures talk about it and make decisions based on it three days later,” says Kirkeide, who had to leave her hospital job to focus solely on modeling. She feels the responsibility of such a big project, too. “[In this situation] you don’t have the time to validate as much as you normally would. You want to get it right the first time.”

They didn’t. Minnesota is now using the third iteration of the U of M model.

As a modeler, says Kirkeide, you have complete control over what your results look like. The most important thing is to have absolute integrity.

“Yes, numbers may look grim, but they are what we’re getting,” she says. “You can’t argue with what you see.”

You can, however, check your model against reality. These are the “grim numbers” the modelers were projecting:

One projection showed that cases would peak around April 26 in Minnesota if there were no mitigating steps to slow the virus. The death toll in this scenario could reach 74,000. The other scenario showed a time frame with significant and staged mitigations in place that pushed the peak to about June 29 and projected deaths in the 50,000–55,000 range.

In the linked article, the University of Minnesota’s School of Public Health boasts that “[w]hen [Governor Tim] Walz issued the stay-at-home order for the state two days later, which he recently extended to May 4, he took these projections heavily into account.” Six weeks later, is is obvious to all that the U of M model was wildly off the mark. As noted above, it has been replaced by later versions that still can’t “predict” the present, let alone the future. But no matter: the policy lives on, long after the basis for the policy is gone.



TOPICS: Health/Medicine; Science; Society
KEYWORDS: coronavirus; covid19; incompetence; malfeasance; minnesota; model; timwalz
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To: LaRueLaDue

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


21 posted on 05/17/2020 11:12:14 AM PDT by dila813
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To: dila813

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.


22 posted on 05/17/2020 11:33:40 AM PDT by LaRueLaDue
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To: SeekAndFind

Used Somalian mathematics?


23 posted on 05/17/2020 11:55:27 AM PDT by 353FMG
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To: SoCal Pubbie
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.

24 posted on 05/17/2020 5:53:55 PM PDT by grey_whiskers (The opinions are solely those of the author and are subject to change with out notice.)
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To: dila813
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.

25 posted on 05/17/2020 5:58:03 PM PDT by grey_whiskers (The opinions are solely those of the author and are subject to change with out notice.)
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To: 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.

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

26 posted on 05/17/2020 5:59:13 PM PDT by grey_whiskers (The opinions are solely those of the author and are subject to change with out notice.)
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To: 353FMG


27 posted on 05/17/2020 6:02:12 PM PDT by grey_whiskers (The opinions are solely those of the author and are subject to change with out notice.)
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To: PeterPrinciple

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.


28 posted on 05/17/2020 6:04:25 PM PDT by mdmathis6
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To: grey_whiskers

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.


29 posted on 05/17/2020 6:36:47 PM PDT by dila813
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To: SeekAndFind

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.


30 posted on 05/18/2020 12:14:09 AM PDT by 9YearLurker
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To: PeterPrinciple

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


31 posted on 05/19/2020 7:47:39 AM PDT by tbw2
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