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Oops, forgot to mention that you have to download the pdf for the full report on all states plus DC.
Enjoy!
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some ADMINs improve the great state
some keep it relatively the same
some chip away at it and some HACK away at it. these guys now are HACKING away at the great state, BUT you can't complain or you will be told to "just leave"...REMEMBER - it's the 5th largest economy in the world...just one state, isn't that fucking incredible??
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NOBODY GIVE A FUCK ABOUT THIS BS... WRE ALL HERE TO GET OUR GROOVE ONE... STOP WITH THIS BS
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HH stop clicking on the blog
Just cause you're stupid,learn to keep it to yourself
We thank you for that
Let the man blog
Sheeeesh!
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Just more proof that you liberal fucks who claim to know everything...know nothing...!!!!!!!!!!!!!
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Damn it California, can't be number 1 at anything...
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Any system that has South Dakota ranked in the lowest quartiles in COVID deaths per 100K, all cause excess death per 100K, and in mortality average, but ends up ranking them #5 overall in success with an "A" grade has a very flawed combined score metric.
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And Hawaii, ranked best in every health metric, gets a "D" as a final grade?
C'mon, man!
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Not peer reviewed. In the world of academic research that means it is glorified toilet paper. As usual goebbels you prove yourself a mediocrity and an amateur who knows nothing of information literacy or research or... well ...anything.
And Stephen Moore is a economics outlier. And a psychopath.
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All based on CDC and other Federal data
You don't like the results, come up with your own matrix
NR, I agree that other measurements could be used to create the matrix
And some, like yourself, would weight health outcomes heavier than other measurements
But this data is pretty clear that lockdowns did NOT create better health outcomes OVERALL
Hawaii's economy has been devastated and that's a huge negative for health especially among the poor and those requiring medical needs outside of Covid
Educational lockout results are coming in as a huge negative also, now that it's being measured
Typical of HeyICan'tFindMyDickNotThatThere'sAnythingWrongWithThat
Attacks the messenger when he's incapable of understanding much less commenting on the data
The NBER is one of the most respected economic institutions in the world with multiple Nobel prize contributors. It was created for the purpose that all sides of the political spectrum may contribute analyses that can be debated. Even lefty economist, Paul Krugman, is a fan.
It is what it is, read it and weep.
Reality is a bitch, then you die.
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Now show us your tits!!!
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Hey said:
"Not peer reviewed. In the world of academic research that means it is glorified toilet paper. As usual goebbels you prove yourself a mediocrity and an amateur who knows nothing of information literacy or research or... well ...anything.
And Stephen Moore is a economics outlier. And a psychopath."
Peer reviewed? Sure, but they'd just cover ass for their own leftists anyway. They won't ever go against their own and he religion of leftism.
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NR and Hey1
If you tinker with the algorithm a little you might get the result you WANT.
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The problem with the analysis is that it doesn't consider the burden that certain states (call this Group A) had in having significantly higher average city densities than other states (call this Group  . Using any simple kinetic model:
Rate of infection = contact rate X density of infected X density of susceptible.
Thus Group A states would need to reduce the contact rate more than Group B states to have a similar rate of infection. This is reflected in the need for more stringent mitigation efforts. And this occurred with these Group A states, seen in greater reduction in mobility than Group B states.
The outcome in infections and deaths would not be as large as suggested by mitigation efforts because of the burden of having higher city population densities in Group A states. Furthermore, Group A states, with these more stringent mitigation efforts, would be wrecking their economies more than Group B states.
This is obviously a simplified model, but it demonstrates that you can't dismiss differences in higher average city densities when grading states on how well they did. I am afraid that this level of complexity is going to be continued to be ignored.
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| There are 14 comments on this blog. |
