Backlog of Wuhan Coronavirus Observations.

Quote:

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Originally posted by JEWELSTAITEFAN:
It will take me awhile to assemble and compose this thread opening.


I have observed that perhaps the most safe from the virus are men who wear beards. They are not working in meat-packing plants. Mostly not in nursing homes, or hospitals. Often outdoorsy, where the bears are not contagious. And masks don't seal for them, so they are not going places where masks are required.

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Not everyone can afford to do that, or is able to live like that. And what about women?

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Many folk seem to focus on the State which did everything worng, everything to maximize the number of deaths and cases, which is New York, and Governor Fredo Gump.
Why not instead focus on States which did everything right, like Florida - with a greater population than NY, and a tiny fraction of the number of deaths. NY tried to kill off as many old folks as they could, FL did the opposite.

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Floida is having its own surge of cases right now, 10,000+ in one day. Only time will tell if Florida did the "right thing" or if Florida is going to have a big problem too.

-----------
Pity would be no more,
If we did not MAKE men poor - William Blake

#WEARAMASK

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JSF, I hope you realized that a bunch of numbers without headers makes no sense at all, I DID go the the link that you posted to see if I could make sense or your numbers and offhand there is nothing in the downloadable data that looks remotely like what you posted. Since it's up to you to explain/edit your post, I hope you let us know what it says and what you think it means.

-----------
Pity would be no more,
If we did not MAKE men poor - William Blake

#WEARAMASK

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Quote:

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Originally posted by JEWELSTAITEFAN:
ICU Beds and Hospital Beds.


18 March: the issue of Certificate Of Need is exposed, which curtails number of hospital beds and equipment, preventing adequate supplies from being available. Fake News ignores this, since it was started and championed by New York. Something like 37 States have CON Laws, outlawing adequate medical facilities and supplies.

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LINKS please. Otherwise this is just your unsupported opinion.

-----------
Pity would be no more,
If we did not MAKE men poor - William Blake

#WEARAMASK

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Quote:

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Originally posted by SIGNYM:

Quote:

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Originally posted by JEWELSTAITEFAN:
It will take me awhile to assemble and compose this thread opening.


Many folk seem to focus on the State which did everything worng, everything to maximize the number of deaths and cases, which is New York, and Governor Fredo Gump.
Why not instead focus on States which did everything right, like Florida - with a greater population than NY, and a tiny fraction of the number of deaths. NY tried to kill off as many old folks as they could, FL did the opposite.

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Floida is having its own surge of cases right now, 10,000+ in one day. Only time will tell if Florida did the "right thing" or if Florida is going to have a big problem too.

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FL had it's first confirmed case weeks before NY. Are you saying by the time NY hurried and got to it's vaunted 50K deaths, that FL had gotten anywhere near close to that? Don't be silly.

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The newest idea of how the virus spreads relates to 2 different scenarios: the vast majority scenario where infected people will spread the virus to no one, or at most 2 people; and the superspreader scenario where one person will spread to virus to many, many people, as many as over 100.

I liken the vast majority scenario to a smouldering fire - conditions are right for it to neither go out nor take off. But the superspreader scenario is like that smouldering fire that finally gets a good gulp of air and explodes into an inferno. And NYC is like a wildland fire that generates its own weather, as conditions were right for superspreader to superspreader transmission.

It's fire in all instances, just under different conditions.

Florida was smouldering for a long time, even after restrictions were put in place. Then restrictions were lifted despite the state not meeting guidelines for reopening -

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Quote:

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Originally posted by 1KIKI:
The newest idea of how the virus spreads relates to 2 different scenarios: the vast majority scenario where infected people will spread the virus to no one, or at most 2 people; and the superspreader scenario where one person will spread to virus to many, many people, as many as over 100.

I liken the vast majority scenario to a smouldering fire - conditions are right for it to neither go out nor take off. But the superspreader scenario is like that smouldering fire that finally gets a good gulp of air and explodes into an inferno. And NYC is like a wildland fire that generates its own weather, as conditions were right for superspreader to superspreader transmission.

It's fire in all instances, just under different conditions.

Florida was smouldering for a long time, even after restrictions were put in place. Then restrictions were lifted despite the state not meeting guidelines for reopening -

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Do you think the superspreder episodes are more likely in environs with elevators, subways, Metyro buses (rapid transit)?
I recall San Fran and NYC have subways, not so much L.A. FL seems lacking in major subways, elevator/skyscrapers.

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Texas COVID deaths higher than reported

CDC data shows Texas is one of 24 states that publicly reports only confirmed COVID-19 deaths, not “probable” ones. And with rampant testing shortages in Texas, many patients likely died without being screened.

Deaths are the ultimate lagging indicator, sometimes not occurring for many weeks after a person is first infected. And then it can take several more weeks until that death is recorded and shows up in the statistics, distorting public perception and the true scope of the crisis.

As of Thursday, there were just under 3,000 confirmed deaths in Texas, translating into a fatality rate of about 1.26 percent.

Even if the death rate remains steady or rises only slightly, Dr. David Persse, Houston’s chief medical officer, said the math is not on the city’s side amid such dramatic increases in cases. “One percent of a big number is still a big number,” he said, “It’s a lot of people dying.”

Persse said he understands that reporting lags or gaps can be frustrating to the public and damaging to those trying to beat back a crisis. But what is truly distressing, he said, is that it could have been prevented.

What people do, how vigilant they remain, the precautions they take, are the true predictors of the virus’ toll on the city. “It’s hard to predict because it is totally up to us,” he said, “The death rate depends on us.”

More at https://web.archive.org/web/20200711185459/https://www.houstonchronicl
e.com/news/investigations/article/As-COVID-19-continues-to-slam-Houston-the-death-15400462.php

The Joss Whedon script for Serenity, where Wash lives, is Serenity-190pages.pdf at www.mediafire.com/folder/1uwh75oa407q8/Firefly

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Do Right, Be Right. :)

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Quote:

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Do you think the superspreder episodes are more likely in environs with elevators, subways, Metyro buses (rapid transit)?

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More like churches, gyms, sporting events, demonstrations, rallies, where dozens, hundreds, or thousands of people are packed together indoors.

-----------
Pity would be no more,
If we did not MAKE men poor - William Blake

#WEARAMASK

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I've posted that video in its own thread and in two others now, and not a single person has said anything about it.

I'm pretending real hard to be curious why that is.

Do Right, Be Right. :)

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Quote:

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Originally posted by 6IXSTRINGJACK:
I've posted that video in its own thread and in two others now, and not a single person has said anything about it.

I'm pretending real hard to be curious why that is.

Do Right, Be Right. :)

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Why do Americans not wear masks for TB? Could it be because Tuberculous cases in US were only 9,025?
www.cdc.gov/tb/statistics/tbcases.htm

9,025 US TB illnesses doesn't mean anything without something to compare it to, such as US Deaths equal 137,191 for Covid-19.
https://news.google.com/covid19/map?hl=en-US&mid=%2Fm%2F09c7w0&
;gl=US&ceid=US%3Aen

The Joss Whedon script for Serenity, where Wash lives, is Serenity-190pages.pdf at www.mediafire.com/folder/1uwh75oa407q8/Firefly

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Even with adding every death under the sun to the Coomph death total without even testing for Coomph, they've only managed to get that number to 140k by the middle of July.

Not exactly the apocalyptic scenario the Legacy Media and Karens countrywide were panicking over.

They can't even lie hard enough to make it bad.

Do Right, Be Right. :)

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It is long past now, but if I had been posting on April First, I would have posted:

Fauci Announces Trials On Salt.
In less than 40 years, we should find out if this unknown substance of salt is safe to consume, and if it causes any deaths (it does). Nobody should consume any salt until Fauci deems it safe, since it is as completely unknown material, only used for decades upon decades.

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Quote:

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Originally posted by JEWELSTAITEFAN:
Effects of the Lockdown.



Unemployment by State.
Columns are: State, Governor's Party, date of LockDown, then Month/Year Unemployment percentages. The last 2 columns are the estimated difference between the expected Unemployment rate and the actual rate resultant from LockDown - for April and for May.

ST G Lk/Dn 3/19 4/19 5/19 2/20 3/20 4/20 5/20 4Dif 5Dif
AR R ----- 3.5% 3.0% 3.4% 3.9% 4.9% 10.3 09.4 05.8 04.6
NE R ----- 3.4% 2.9% 3.0% 3.0% 4.2% 08.6 05.1 05.2 02.1
ND R ----- 3.0% 2.5% 2.1% 2.8% 2.7% 09.2 08.6 07.0 06.8
OK R ----- 3.2% 2.8% 3.2% 3.0% 3.0% 14.3 12.6 11.7 09.6
SD R ----- 3.6% 3.3% 3.1% 3.6% 3.4% 11.0 09.2 07.9 06.3
TX R ----- 3.5% 3.0% 3.1% 3.6% 5.1% 13.0 12.7 10.0 09.6
WY R ----- 3.9% 3.5% 3.3% 4.3% 4.3% 9.6% 08.7 05.7 05.0


AL R 4 Apr 3.4% 2.6% 2.5% 2.9% 3.0% 13.3 09.4 11.1 07.3
AK R 26Mar 6.8% 6.3% 6.0% 5.9% 5.9% 13.7 12.5 08.3 07.4
AZ R _ Apr 4.7% 4.5% 4.6% 4.4% 6.1% 12.9 08.7 08.2 04.4
CA D 4 Mar 4.5% 3.8% 3.6% 4.3% 5.8% 16.1 15.9 12.3 12.3
CO D 25Mar 3.1% 2.8% 2.6% 2.9% 4.8% 12.2 10.0 09.4 07.4
CT D 20Mar 4.0% 3.3% 3.6% 4.4% 3.9% 08.0 09.3 04.8 06.8
DE D 20Mar 3.7% 3.5% 3.4% 4.0% 5.0% 14.8 15.5 11.0 11.8
FL R 8 Mar 3.2% 2.9% 3.0% 2.8% 4.3% 13.3 14.3 10.4 11.3
GA R 3 Apr 3.6% 3.1% 3.3% 3.5% 4.5% 12.2 09.5 09.1 06.2
HI D ----- 2.7% 2.6% 2.6% 2.6% 2.3% 23.5 22.5 21.3 20.3
ID R 25Mar 3.5% 3.0% 2.6% 3.1% 2.6% 12.3 08.6 10.2 06.0
IL D 20Mar 4.4% 3.6% 3.5% 3.5% 4.2% 16.9 14.7 14.5 11.4
IN R 20Mar 3.7% 2.9% 3.0% 3.4% 3.4% 17.0 11.9 14.4 09.2
IA R _ Apr 3.2% 2.5% 2.4% 3.1% 3.6% 10.7 09.7 07.8 06.9
KS D 28Mar 3.4% 2.8% 3.0% 3.3% 2.9% 11.6 09.8 09.3 07.3
KY D 6 Mar 4.7% 3.9% 4.2% 4.3% 5.3% 16.1 10.9 12.2 06.7
LA D 20Mar 4.1% 3.8% 4.3% 4.3% 6.3% 14.5 13.1 10.7 08.9
ME D _ Mar 3.9% 3.4% 3.0% 4.3% 3.6% 11.3 09.4 08.2 06.7
MD R 5 Mar 3.7% 3.2% 3.4% 3.6% 3.5% 10.1 09.7 07.1 06.5
MA R _ Mar 3.3% 2.7% 2.9% 3.3% 3.0% 15.9 16.3 13.5 13.7
MI D _ Mar 4.6% 3.7% 3.7% 3.6% 4.0% 23.8 20.7 20.7 17.6
MN D 25Mar 3.9% 3.1% 2.7% 3.6% 3.5% 08.6 09.4 05.9 07.1
MS R 3 Apr 5.1% 4.7% 5.3% 5.1% 4.8% 15.6 10.5 11.2 05.5
MO R 2Citi 3.7% 2.7% 3.0% 3.7% 3.9% 09.8 09.8 06.9 06.6
MT D 26Mar 4.2% 3.3% 2.9% 4.2% 4.2% 11.9 08.5 08.6 05.6
NV D 24Mar 4.1% 3.9% 3.8% 3.8% 6.9% 29.8 25.2 25.9 21.4
NH R 25Mar 2.9% 2.5% 2.4% 3.1% 2.8% 17.2 14.5 14.8 12.2
NJ D 21Mar 3.7% 2.8% 3.0% 4.2% 3.7% 15.9 14.9 13.1 11.9
NM D 24Mar 4.8% 4.4% 4.5% 5.0% 6.2% 11.4 08.8 06.8 04.1
NY D 4 Mar 4.2% 3.6% 3.6% 3.9% 4.2% 15.0 14.2 11.4 10.6
NC D 25Mar 4.0% 3.5% 3.9% 3.7% 4.3% 12.5 12.7 08.7 08.5
OH R 20Mar 4.2% 3.5% 3.7% 4.7% 5.4% 17.4 13.4 13.4 09.2
OR D 8 Mar 4.5% 3.8% 3.4% 3.8% 3.9% 14.8 13.8 11.6 11.2
PA D 7Cnty 4.3% 3.5% 4.0% 5.1% 5.9% 15.5 12.9 11.3 08.1
RI D 26Mar 3.9% 3.2% 3.3% 4.0% 5.0% 17.8 16.0 14.6 12.7
SC R 7 Apr 3.4% 2.6% 2.7% 3.0% 3.0% 12.2 12.2 10.0 09.9
TN R _ Mar 3.5% 2.9% 3.1% 3.8% 3.7% 15.0 11.0 11.9 07.7
UT R 6 Mar 3.0% 2.6% 2.6% 2.8% 4.1% 10.3 08.4 07.7 05.8
VT R _ Mar 2.7% 2.5% 2.2% 2.6% 3.4% 16.8 12.6 14.3 10.4
VA D 24Mar 3.0% 2.4% 2.7% 2.8% 3.3% 10.8 09.2 08.5 06.5
WA D 8 Mar 4.8% 4.1% 4.1% 4.2% 5.4% 15.8 14.8 12.3 11.3
WV D 24Mar 5.2% 4.5% 4.5% 5.5% 6.1% 15.8 12.5 10.4 07.1
WI D 25Mar 3.8% 3.2% 3.1% 4.0% 3.5% 13.6 11.7 10.7 08.9

Color codes: Green for States which allowed their economies to go, did not LockDown - all of which were GOP.
Yellow for States which drastically Locked Down for Wuhan Coronavirus.
Red for GOP led States which limited Employment impact.

I did not highlight NV

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Quote:

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Originally posted by JEWELSTAITEFAN:
Wisconsin, a microcosm model of America.

I understand that many of you are not familiar with the geography or population of WI.
60% of the Statee's population is in the lower right corner of the state, the southeast corner. This is Milwaukee area, down towards Chicago (essentially across the state border), along the shore of Lake Michigan.
Wisconsin has 72 Counties.
Milwaukee County has consistently supplied half the cases in the State, and more than half the deaths. The next tier of concentration has been the corridor to Chicago, Racine and Kenosha Counties. Next tier has been the counties surrounding Milwaukee County, plus Dane County (Madison). These few counties (suburbs and bedroom Communities) account for the vast majority of cases and deaths in WI. Adding in the counties surrounding Dane Co, and the cast majority of cases and deaths is included.

Since about 60 Counties had no case activity to speak of, Gov Skeletor Evers shut down the entire state. Milwaukee, Racine, and Kenosha remained the leading hotspots. The age groups for cases were dominated by 50-90 year olds. Then the 2 meatpacking plants in Brown County (Green Bay) had positives, and were called outbreaks. Brown County launched up fast enough to surpass all other counties in WI, before leveling off. After a week or so, Milwaukee and Racine retook the lead.
The Gov did not allow any part of the State to reopen, despite any lack of case activity, and even extended the lockdown beyond legal authority, until he was sued and the Supreme Court ordered reopening.

Some data provided here:
www.dhs.wisconsin.gov/covid-19/cases.htm
But really only current, zip for historical.

I see that in WI, there is one group which has absolutely ZERO cases. Those who are of the gender "other" than male or female.


For the following Table of data:
First is Day, Date/Month.
Second column of numbers is the total number of tests with Negative results, as posted by WI website (does not actually include all Negative tests, so this figure is undercounted.)
Third column is total number of persons tested positive so far by this date.
Fourth column is the total number of tests (sum of the prior 2 columns)
Fifth column is the number of Positive results, New since the day before and / number of total test results, New since the day before.
Sixth column is the percent Positive (divided by the total) for the day.
Seventh column is the number of tests stated as the Capacity for that day.
Eighth column is the percent of Positive results, New for today, divided by the Capacity for the day. This helps mitigate the number games played by the delaying and manipulating by the Stats department.
Ninth and Tenth columns are number of cases ever Hospitalized, and that percent of total cases.
Eleventh column is number of cases ever under ICU. Note this figure started out greater than the number of dead, but then number of dead outpaced this figure.
Twelfth and thirteenth columns are number of dead and percent of total cases.
Fourteenth column is Active Cases, either percent (%), or number, or percent-number.

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Day/Date TstNeg Postv TtlTst New+/Testd % Pos Capct +/Cp | Hosp %Hp ICU Dead % Actv

We 15Jul 686299 38727 725026 +821/13925 05.9% 24362 3.4% | 3923 10% --- 0827 2
Th 16Jul 699670 39627 739297 +900/14271 06.3% 24362 3.7% | 3968 10% --- 0831 2
Fr 17Jul 712197 40507 752704 +880/13407 06.6% 24162 3.6% | 4031 10% --- 0833 2 21-8411
Sa 18Jul 723643 41485 765128 +978/12424 07.9% 24162 4.0% | 4082 10% --- 0843 2
Su 19Jul 730902 42315 773217 +830/08089 10.3% 24162 3.4% | 4107 10% --- 0844 2 21-8838
Mo 20Jul 737191 43018 780209 +703/06908 10.2% 24162 2.9% | 4129 10% 829 0846 2 21%
Tu 21Jul 750562 44135 794697 1117/14488 07.7% 24162 4.6% | 4194 10% 838 0859 2 21-9369
We 22Jul 764630 44847 809477 +712/14780 04.8% 24162 2.9% | ---- --- --- 0865 2
Th 23Jul 778842 45899 824741 1052/15264 06.9% 24156 4.4% | 4273 09% --- 0878 2% 21-

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I'm just disappointed that here we are in the middle of August and they still have only managed to attribute less than 20% of the daily US deaths to The Coomph.


Clearly they're not trying hard enough.



C'mon Democrats! You've got an election you're trying to steal here. You can do better than this.

Do Right, Be Right. :)

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Quote:

---

Originally posted by JEWELSTAITEFAN:
Wisconsin, a microcosm model of America.

I understand that many of you are not familiar with the geography or population of WI.
60% of the Statee's population is in the lower right corner of the state, the southeast corner. This is Milwaukee area, down towards Chicago (essentially across the state border), along the shore of Lake Michigan.
Wisconsin has 72 Counties.
Milwaukee County has consistently supplied half the cases in the State, and more than half the deaths. The next tier of concentration has been the corridor to Chicago, Racine and Kenosha Counties. Next tier has been the counties surrounding Milwaukee County, plus Dane County (Madison). These few counties (suburbs and bedroom Communities) account for the vast majority of cases and deaths in WI. Adding in the counties surrounding Dane Co, and the cast majority of cases and deaths is included.

Since about 60 Counties had no case activity to speak of, Gov Skeletor Evers shut down the entire state. Milwaukee, Racine, and Kenosha remained the leading hotspots. The age groups for cases were dominated by 50-90 year olds. Then the 2 meatpacking plants in Brown County (Green Bay) had positives, and were called outbreaks. Brown County launched up fast enough to surpass all other counties in WI, before leveling off. After a week or so, Milwaukee and Racine retook the lead.
The Gov did not allow any part of the State to reopen, despite any lack of case activity, and even extended the lockdown beyond legal authority, until he was sued and the Supreme Court ordered reopening.

Some data provided here:
www.dhs.wisconsin.gov/covid-19/cases.htm
But really only current, zip for historical.

I see that in WI, there is one group which has absolutely ZERO cases. Those who are of the gender "other" than male or female.


For the following Table of data:
First is Day, Date/Month.
Second column of numbers is the total number of tests with Negative results, as posted by WI website (does not actually include all Negative tests, so this figure is undercounted.)
Third column is total number of persons tested positive so far by this date.
Fourth column is the total number of tests (sum of the prior 2 columns)
Fifth column is the number of Positive results, New since the day before and / number of total test results, New since the day before.
Sixth column is the percent Positive (divided by the total) for the day.
Seventh column is the number of tests stated as the Capacity for that day.
Eighth column is the percent of Positive results, New for today, divided by the Capacity for the day. This helps mitigate the number games played by the delaying and manipulating by the Stats department.
Ninth and Tenth columns are number of cases ever Hospitalized, and that percent of total cases.
Eleventh column is number of cases ever under ICU. Note this figure started out greater than the number of dead, but then number of dead outpaced this figure.
Twelfth and thirteenth columns are number of dead and percent of total cases.
Fourteenth column is Active Cases, either percent (%), or number, or percent-number.

---

Day/Date TstNeg Postv TtlTst New+/Testd % Pos Capct +/Cp | Hosp %Hp ICU Dead % Actv

We 29Jul 851391 51049 902440 +870/14694 05.9% 24156 3.6% | 4538 09% 886 0911 2 19-09704
Th 30Jul 867602 52108 919710 1059/17270 06.1% 24156 4.4% | 4590 09% 893 0919 2 19%
Fr 31Jul 882149 52940 935089 +832/15379 05.4% 24156 3.4% | 4637 09% 900 0934 2 18-09671
Sa 1 Aug 895945 54002 949947 1062/14858 07.1% 24156 4.4% | 4737 09% 904 0947 2 18-09753
Su2 Aug 904666 54924 0959590 +922/09643 09.6% 24156 3.8% | 4717 09% 910 0948 2 18-09994
Mo3 Aug 911435 55328 0966763 +404/07173 05.6% 24156 1.7% | 4732 09% 910 0949 2 18-9866
Tu4 Au 0928845 56056 0984901 +728/18138 04.0% 24156 3.0% | ---- --- --- 0961 2 17-09709
We5 Au 0944984 56940 1001924 +884/17023 05.2% 24156 3.7% | 4926 08% 919 0970 2 17-9629
Th6 Au 0961851 57779 1019630 +839/17706 04.7% 241

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"Since about 60 Counties had no case activity to speak of ..." That's not true. If you look at the map, every single county https://www.dhs.wisconsin.gov/covid-19/cases-map.htm has a minimum of 10 - 50 cases (19 out of 72 are at that minimum), and of course 53/72 have significantly more.

I thought maybe the data table confused you. It did me at first until I downloaded it, and realized that their data table added new cases by APPENDING new data to the bottom. So for example, Crawford county's first 2 listings had 0 cases ... but the third listing had 22 (IIRC), and there were roughly 287 listings for the Crawford county in the entire data table to date.

Maybe you didn't realize the newest data that showed the updated information was at the bottom, which might be why you assumed so many counties had no listings.


"Maybe so many of these positives are obtained from autopsy, from like stubbed toe or overdose. "

I'm sorry to see you've taken to posting lies. Or maybe you found a narrative that you agreed with, and couldn't be bothered to check any further? Here's the Wisconsin law about who gets to fill out and sign the death record https://docs.legis.wisconsin.gov/statutes/statutes/69/I/18 . Basically it's the attending physician, another physician who worked with the attending physician in caring for the individual if the attending is unavailable, the chief medical officer of the hospital or nursing home in which the death occurred, or a coroner or ME (if required).

What you're claiming is that these people are willing to lose their medical licenses in order to falsify a cause of death. And not only that, that so many of them are willing to do so in such LARGE numbers that it'll skew the statistics. Do you really want to stick by that claim?

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If I were JSF, I would.

Do Right, Be Right. :)

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Then you and WISHI have similar problems with beliefs parting ways with reality.

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Quote:

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Originally posted by 6IXSTRINGJACK:
I'm just disappointed that here we are in the middle of August and they still have only managed to attribute less than 20% of the daily US deaths to The Coomph.


Clearly they're not trying hard enough.



C'mon Democrats! You've got an election you're trying to steal here. You can do better than this.

Do Right, Be Right. :)

---

This whole scam has been a libtard wet dream conspiracy from the start.

The CDC released a shocking report Friday that finally told the truth about the absurdly inflated mortality rate attributed to Covid.
https://www.thegatewaypundit.com/2020/08/shock-report-week-cdc-quietly
-updated-covid-19-numbers-9210-americans-died-covid-19-alone-rest-serious-illnesses/

94% of Covid "deaths" were actually due to other, more explainable things, terminal things....things like cancer, heart attacks, and car crashes to name a few. These so-called Covid death patients were going to die soon even without Covid. 180,000 have NOT died from Covid. Only 9,000 in 8 months have. This whole thing has been a total bullshit lie.

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Quote:

---

Originally posted by Jongsstraw:

Quote:

---

Originally posted by 6IXSTRINGJACK:
I'm just disappointed that here we are in the middle of August and they still have only managed to attribute less than 20% of the daily US deaths to The Coomph.

Clearly they're not trying hard enough.

C'mon Democrats! You've got an election you're trying to steal here. You can do better than this.

Do Right, Be Right. :)

---

This whole scam has been a libtard wet dream conspiracy from the start.

The CDC released a shocking report Friday that finally told the truth about the absurdly inflated mortality rate attributed to Covid.
https://www.thegatewaypundit.com/2020/08/shock-report-week-cdc-quietly
-updated-covid-19-numbers-9210-americans-died-covid-19-alone-rest-serious-illnesses/

94% of Covid "deaths" were actually due to other, more explainable things, terminal things....things like cancer, heart attacks, and car crashes to name a few. These so-called Covid death patients were going to die soon even without Covid. 180,000 have NOT died from Covid. Only 9,000 in 8 months have. This whole thing has been a total bullshit lie.

---

All of your lies cannot be true. Otherwise the lamestream Fake News would have reported it as Libtard Facts and Truth!!



Sidenote about WI data: Last Saturday a huge spike of positives were posted, which the State of incompetents reported was due to a correction in the electronic reporting system for the State.

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Quote:

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Originally posted by 1KIKI:
"Since about 60 Counties had no case activity to speak of ..." That's not true. If you look at the map, every single county https://www.dhs.wisconsin.gov/covid-19/cases-map.htm has a minimum of 10 - 50 cases (19 out of 72 are at that minimum), and of course 53/72 have significantly more.

I thought maybe the data table confused you. It did me at first until I downloaded it, and realized that their data table added new cases by APPENDING new data to the bottom. So for example, Crawford county's first 2 listings had 0 cases ... but the third listing had 22 (IIRC), and there were roughly 287 listings for the Crawford county in the entire data table to date.

Maybe you didn't realize the newest data that showed the updated information was at the bottom, which might be why you assumed so many counties had no listings.


"Maybe so many of these positives are obtained from autopsy, from like stubbed toe or overdose. "

I'm sorry to see you've taken to posting lies. Or maybe you found a narrative that you agreed with, and couldn't be bothered to check any further? Here's the Wisconsin law about who gets to fill out and sign the death record https://docs.legis.wisconsin.gov/statutes/statutes/69/I/18 . Basically it's the attending physician, another physician who worked with the attending physician in caring for the individual if the attending is unavailable, the chief medical officer of the hospital or nursing home in which the death occurred, or a coroner or ME (if required).

What you're claiming is that these people are willing to lose their medical licenses in order to falsify a cause of death. And not only that, that so many of them are willing to do so in such LARGE numbers that it'll skew the statistics. Do you really want to stick by that claim?

---

Maybe you were confused when you said the facts "are not true"


Quote within context:

Quote:

---

Since about 60 Counties had no case activity to speak of, Gov Skeletor Evers shut down the entire state.

---

On 12 March, Gov Skeletor Evers declared Emergency. There were 6 total cases, including 1 recovered.
When there were 43 cases, he enacted for March 17 a statewide Lockdown of all bars, restaurants, schools, salons, etc.
When there were 416 cases and 5 deaths distributed among 30 counties, he enacted for March 24 a statewide Lockdown for all non-essential businesses (including medical health care clinics, but not including Abortion providers).

By 26 March there were 707 cases and 8 deaths. Distributed among 37 Counties. Of these, 13 Counties had 1 Case. Leaving 24 (of 72) counties with more than 1 case.
Milwaukee Co had 347 cases and 3 deaths.
Dane had 114 cases and 1 death.
Waukesha Co (adjacent west to Milw) had 56 cases and 1 death.
Washington Co (adjacent northwest to Milw) had 25 cases.
Ozaukee Co (adjacent north to Milw) had 22 cases and 1 death.
Kenosha Co had 19 cases.
Fond Du Lac Co had 17 cases and 1 death.

the remaining 17 Counties had between 2 and 8 cases.

When I stated "activity to speak of" I really did not consider 1 case in an entire County to be "activity to speak of"

On 12 March the 6 cases were in Dane, Pierce, Fond Du Lac, and Waukesha Counties. The next 2 were also in Dane. This left 68 Counties without any cases testing positive.

The 17 March Lockdown was announced Friday 13 March, when 19 total Cases were known. In Milwaukee, Racine, Sheboygan Counties as well as the prior 4, for a total of 7 Counties - and no community spread cases, and no deaths. That left 65 Counties without any positive result cases.
When the case total went to 27 on 14 March, Winnebago Co added 1.
When the case total went to 34 on 15 March, Wood Co added 1 - total of 9 Counties, leaving 63 Counties without a case.
In the next day or 2 before the Lockdown went into effect, perhaps 3 more Counties added to the list, but stiull leaving 60 Counties without a

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This was from July 2, and it looks like I only fleshed out one table, for Unemployment, yet forgot the other 2 tables.
I should try to flesh out the GDP by State. Reviewing the data, I recall going over it before, but I don't see where I posted it in timely manner any place.

Quote:

---

Originally posted by JEWELSTAITEFAN:
Effects of the Lockdown.

---

GDP State by State came out, for Jan/Feb/March 2020, and now all of 2020.

Columns are: State, Governor's Party, date of LockDown, then Calendar Quarter/Year gain/loss percentages (from prior Q, or prior CY). The last 2 columns are the estimated difference between the expected GDP growth rate and the actual rate resultant from LockDown - for CY2019 to CY2020, and then CY2018 to CY2020.

ST G Lk/Dn CY18 CY19 19Q4 20Q1 2020Q2 20Q3 20Q4 CY20 19-20 18-20
AR R ----- 0.9% 1.8% 2.4% -5.0 -27.9% 31.8 5.1% -2.6 -4.4% -3.5%
NE R ----- 1.5% 0.6% 2.6% -1.3 -31.0% 33.2 6.3% -2.1 -2.7% -3.6%
ND R ----- 2.5% 2.3% 0.5% -2.6 -27.6% 22.4 5.4% -3.5 -5.8% -6.0%
OK R ----- 1.8% 2.4% 0.6% -4.0 -31.1% 24.2 3.5% -6.1 -8.5% -7.9%
SD R ----- 1.3% 0.7% 1.6% -2.2 -28.8% 32.1 9.9% -1.7 -2.4% -3.0%
TX R ----- 3.2% 4.4% 2.9% -2.5 -29.0% 29.7 7.5% -3.5 -7.9% -6.7%
WY R ----- 0.3% 3.3% 0.0% -3.6 -32.5% 19.4 3.8% -7.0 -10.3 -7.3%


AL R 4 Apr 2.0% 2.3% 2.4% -4.8 -29.6% 34.6 5.0% -2.7 -5.0% -4.7%
AK R 26Mar -.3% 2.5% 0.4% -4.0 -33.8% 32.2 5.8% -4.9 -7.4% -4.6%
AZ R _ Apr 4.0% 3.1% 3.3% -3.6 -25.3% 31.1 4.3% -0.9 -4.0% -4.9%
CA D 4 Mar 3.5% 2.6% 2.2% -4.7 -31.5% 31.2 3.8% -2.8 -5.4% -6.3%
CO D 25Mar 3.5% 3.5% 2.6% -4.1 -28.1% 30.1 4.5% -1.5 -5.0% -5.0%
CT D 20Mar 1.0% 1.6% 0.9% -4.6 -31.1% 32.6 7.0% -4.1 -5.7% -5.1%
DE D 20Mar 0.3% 0.8% 2.3% -5.6 -21.9% 27.6 5.8% -3.9 -4.7% -4.2%
FL R 8 Mar 3.5% 2.8% 2.6% -4.9 -30.1% 33.4 3.1% -2.9 -5.7% -6.4%
GA R 3 Apr 2.6% 2.0% 2.4% -4.7 -27.7% 32.7 4.7% -2.5 -4.5% -5.1%
HI D ----- 1.0% 1.0% 2.3% -8.1 -42.2% 31.3 2.1% -8.0 -9.0% -9.0%
ID R 25Mar 4.1% 2.8% 2.5% -4.1 -32.4% 43.3 5.4% -1.1 -3.9% -5.2%
IL D 20Mar 2.1% 1.6% 1.9% -5.4 -29.7% 34.5 3.5% -4.0 -5.6% -6.2%
IN R 20Mar 1.9% 0.8% 1.1% -5.6 -33.0% 43.3 5.0% -3.1 -3.9% -5.0%
IA R _ Apr 1.4% 0.9% 1.3% -3.5 -28.2% 36.4 6.3% -2.3 -3.2% -3.7%
KS D 28Mar 1.9% 0.9% 2.1% -3.1 -30.3% 34.3 4.0% -3.0 -3.9% -4.9%
KY D 6 Mar 1.4% 1.1% 2.3% -5.8 -34.5% 41.2 4.3% -3.7 -4.8% -5.1%
LA D 20Mar 1.1% 1.3% 1.1% -6.6 -31.4% 33.1 3.0% -5.5 -6.8% -6.6%
ME D _ Mar 1.9% 1.9% 1.9% -6.3 -34.4% 37.3 2.8% -4.1 -6.0% -6.0%
MD R 5 Mar 1.6% 1.5% 2.5% -5.0 -27.7% 29.2 3.6% -2.6 -4.1% -4.2%
MA R _ Mar 2.7% 2.5% 2.1% -5.1 -31.6% 33.1 4.7% -3.8 -6.3% -6.5%
MI D _ Mar 2.7% 0.7% 2.3% -6.8 -37.6% 44.2 1.7% -5.4 -6.1% -8.1%
MN D 25Mar 2.2% 1.4% 1.6% -4.0 -31.3% 36.3 4.7% -3.7 -5.1% -5.9%
MS R 3 Apr 1.0% 1.3% 2.1% -5.2 -32.9% 39.5 5.6% -2.8 -4.1% -3.8%
MO R 2Citi 2.3% 2.1% 1.8% -4.7 -32.1% 36.7 5.6% -3.6 -5.7% -5.9%
MT D 26Mar 0.9% 2.1% 2.2% -5.4 -30.8% 30.8 3.6% -3.0 -5.1% -3.9%
NV D 24Mar 3.2% 2.9% 2.5% -8.2 -42.2% 52.2 4.2% -4.6 -7.5% -7.8%
NH R 25Mar 2.2% 2.7% 2.0% -5.7 -36.9% 40.9 3.8% -4.7 -7.4% -6.9%
NJ D 21Mar 2.0% 1.5% 0.7% -5.5 -35.6% 37.2 4.8% -4.1 -5.6% -6.1%
NM D 24Mar 1.8% 3.7% 2.0% -3.1 -28.3% 23.6 2.5% -3.1 -6.8% -4.9%
NY D 4 Mar 2.1% 1.8% 1.4% -8.2 -36.3% 30.3 3.7% -5.9 -7.7% -8.0%
NC D 25Mar 2.9% 2.3% 2.4% -5.1 -30.5% 35.7 4.8% -2.5 -5.8% -5.4%
OH R 20Mar 1.8% 1.7% 1.6% -5.5 -33.0% 36.9 5.0% -4.0 -5.7% -5.8%
OR D 8 Mar 3.4% 2.7% 2.4% -4.4 -31.9% 35.1 2.7% -2.8 -5.5% -6.2%
PA D 7Cnty 2.1% 2.3% 2.1% -5.6 -34.0% 35.5 3.7% -4.4 -6.7% -6.5%
RI D 26Mar 0.6% 2.7% 2

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Death and Numbers in November December 2020

Quote:

---

North America 12,234,890 - Deaths 725 Per Millions
South America 10,606,820 - Deaths 740
Central America 1,571,442 - Deaths 640 Per Million

East Asia 315,416 - Deaths 4 per Million?

---

Deaths in 2021

North America 31,304,645 - Deaths 1,540 Per Millions
Europe 30,619,252 - Deaths 1,418 Per Million
South America 20,875,243 - Deaths 1,251
Central America 3,260,901 - Deaths 640 Per Million

Oceania East Asia 2,750,165 - Deaths 111 per Million?

https://en.wikipedia.org/wiki/COVID-19_pandemic_by_country_and_territo
ry#Cases_and_deaths_by_region


USA First death March 3, 2020- 335,789 - 436,051 -508,584
Brazil March 19, 2020- 193,875 223,945 254,221
Mexico March 20, 2020- 124,897 158,074 185,257
India March 13, 2020- 148,994 154,392 157,157

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This table has a whole bunch of numbers.
I think I will also rearrange it by order of the last column.

Quote:

---

Originally posted by JEWELSTAITEFAN:
Effects of the Lockdown.

---

GDP State by State came out, for Jan/Feb/March 2020, and now all of 2020.

Columns are: State, Governor's Party, date of LockDown, then Calendar Quarter/Year gain/loss percentages (from prior Q, or prior CY). The last 2 columns are the estimated difference between the expected GDP growth rate and the actual rate resultant from LockDown - for CY2019 to CY2020, and then CY2018 to CY2020.

ST G Lk/Dn CY18 CY19 19Q4 20Q1 2020Q2 20Q3 20Q4 CY20 19-20 18-20
AR R ----- 0.9% 1.8% 2.4% -5.0 -27.9% 31.8 5.1% -2.6 -4.4% -3.5%
NE R ----- 1.5% 0.6% 2.6% -1.3 -31.0% 33.2 6.3% -2.1 -2.7% -3.6%
ND R ----- 2.5% 2.3% 0.5% -2.6 -27.6% 22.4 5.4% -3.5 -5.8% -6.0%
OK R ----- 1.8% 2.4% 0.6% -4.0 -31.1% 24.2 3.5% -6.1 -8.5% -7.9%
SD R ----- 1.3% 0.7% 1.6% -2.2 -28.8% 32.1 9.9% -1.7 -2.4% -3.0%
TX R ----- 3.2% 4.4% 2.9% -2.5 -29.0% 29.7 7.5% -3.5 -7.9% -6.7%
WY R ----- 0.3% 3.3% 0.0% -3.6 -32.5% 19.4 3.8% -7.0 -10.3 -7.3%


AL R 4 Apr 2.0% 2.3% 2.4% -4.8 -29.6% 34.6 5.0% -2.7 -5.0% -4.7%
AK R 26Mar -.3% 2.5% 0.4% -4.0 -33.8% 32.2 5.8% -4.9 -7.4% -4.6%
AZ R _ Apr 4.0% 3.1% 3.3% -3.6 -25.3% 31.1 4.3% -0.9 -4.0% -4.9%
CA D 4 Mar 3.5% 2.6% 2.2% -4.7 -31.5% 31.2 3.8% -2.8 -5.4% -6.3%
CO D 25Mar 3.5% 3.5% 2.6% -4.1 -28.1% 30.1 4.5% -1.5 -5.0% -5.0%
CT D 20Mar 1.0% 1.6% 0.9% -4.6 -31.1% 32.6 7.0% -4.1 -5.7% -5.1%
DE D 20Mar 0.3% 0.8% 2.3% -5.6 -21.9% 27.6 5.8% -3.9 -4.7% -4.2%
FL R 8 Mar 3.5% 2.8% 2.6% -4.9 -30.1% 33.4 3.1% -2.9 -5.7% -6.4%
GA R 3 Apr 2.6% 2.0% 2.4% -4.7 -27.7% 32.7 4.7% -2.5 -4.5% -5.1%
HI D ----- 1.0% 1.0% 2.3% -8.1 -42.2% 31.3 2.1% -8.0 -9.0% -9.0%
ID R 25Mar 4.1% 2.8% 2.5% -4.1 -32.4% 43.3 5.4% -1.1 -3.9% -5.2%
IL D 20Mar 2.1% 1.6% 1.9% -5.4 -29.7% 34.5 3.5% -4.0 -5.6% -6.2%
IN R 20Mar 1.9% 0.8% 1.1% -5.6 -33.0% 43.3 5.0% -3.1 -3.9% -5.0%
IA R _ Apr 1.4% 0.9% 1.3% -3.5 -28.2% 36.4 6.3% -2.3 -3.2% -3.7%
KS D 28Mar 1.9% 0.9% 2.1% -3.1 -30.3% 34.3 4.0% -3.0 -3.9% -4.9%
KY D 6 Mar 1.4% 1.1% 2.3% -5.8 -34.5% 41.2 4.3% -3.7 -4.8% -5.1%
LA D 20Mar 1.1% 1.3% 1.1% -6.6 -31.4% 33.1 3.0% -5.5 -6.8% -6.6%
ME D _ Mar 1.9% 1.9% 1.9% -6.3 -34.4% 37.3 2.8% -4.1 -6.0% -6.0%
MD R 5 Mar 1.6% 1.5% 2.5% -5.0 -27.7% 29.2 3.6% -2.6 -4.1% -4.2%
MA R _ Mar 2.7% 2.5% 2.1% -5.1 -31.6% 33.1 4.7% -3.8 -6.3% -6.5%
MI D _ Mar 2.7% 0.7% 2.3% -6.8 -37.6% 44.2 1.7% -5.4 -6.1% -8.1%
MN D 25Mar 2.2% 1.4% 1.6% -4.0 -31.3% 36.3 4.7% -3.7 -5.1% -5.9%
MS R 3 Apr 1.0% 1.3% 2.1% -5.2 -32.9% 39.5 5.6% -2.8 -4.1% -3.8%
MO R 2Citi 2.3% 2.1% 1.8% -4.7 -32.1% 36.7 5.6% -3.6 -5.7% -5.9%
MT D 26Mar 0.9% 2.1% 2.2% -5.4 -30.8% 30.8 3.6% -3.0 -5.1% -3.9%
NV D 24Mar 3.2% 2.9% 2.5% -8.2 -42.2% 52.2 4.2% -4.6 -7.5% -7.8%
NH R 25Mar 2.2% 2.7% 2.0% -5.7 -36.9% 40.9 3.8% -4.7 -7.4% -6.9%
NJ D 21Mar 2.0% 1.5% 0.7% -5.5 -35.6% 37.2 4.8% -4.1 -5.6% -6.1%
NM D 24Mar 1.8% 3.7% 2.0% -3.1 -28.3% 23.6 2.5% -3.1 -6.8% -4.9%
NY D 4 Mar 2.1% 1.8% 1.4% -8.2 -36.3% 30.3 3.7% -5.9 -7.7% -8.0%
NC D 25Mar 2.9% 2.3% 2.4% -5.1 -30.5% 35.7 4.8% -2.5 -5.8% -5.4%
OH R 20Mar 1.8% 1.7% 1.6% -5.5 -33.0% 36.9 5.0% -4.0 -5.7% -5.8%
OR D 8 Mar 3.4% 2.7% 2.4% -4.4 -31.9% 35.1 2.7% -2.8 -5.5% -6.2%
PA D 7Cnty 2.1% 2.3% 2.1% -5.6 -34.0% 35.5 3.7% -4.4 -6.7% -6.5%
RI D 26Mar 0.6% 2.7% 2.2% -6.2 -32.4% 35.5 2.6% -4.5 -7.2% -5.1%
SC R 7 Apr 1.6% 3.0% 2.5% -4.8 -32.6% 38.5 4.4% -4.1 -7.1% -5.7%
TN R _ Mar 3.0% 2.2% 2.0% -6.2 -40.4% 46.5 6.7% -4.9 -7.1% -7.9%

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