COVID-19 Lockdowns get NUKED!

It's a bad day to be a #BranchCovidian like the creep Sam Seder, pencil-necked Anthony Fauci, rat-faced Ilhan Omar & the vacuous #AOC

Thanks to Thomas E. Woods for inspiring this rant

Divorcees like Sam Seder et al. have been very vocal that the lockdowns were worth it & w/ the recent end to the COVID-19 hysteria https://www.hhs.gov/about/news/2023/05/09/fact-sheet-end-of-the-covid-19-public-health-emergency.html https://www.washingtonexaminer.com/restoring-america/courage-strength-optimism/biden-to-end-covid-19-emergency-declaration-may-11 has prompted retards like him to wonder if we’re doing this too early or if we should do it all. Won’t it risk more lives if we don’t have another economic retraction & pay people to sit at home?

I’ve already proven through my essays on COVID-19 that the states that locked-down did worse in most cases http://freewebs.com/professor_enigma/covid-19-hub than the states that did not, but it doesn’t matter to carnival-barkers like the divorcee. He is going to continue sitting on his duff, vegetating on social media in an attempt to just yell-over everyone who opposes him.

[NOTE: http://freewebs.com/professor_enigma/covid-19-hysteria I have a boatload of updates (ending in November 2021) featuring numerous states (and a few groupings of those who did NOT have a stay-at-home or shelter-in-place order vs. states that went bonkers over a respiratory virus) & their death rates (although NOT age-adjusted, but I did mention those demographics several times, as well as the % of deaths in the 65+ age groups) that you may find interesting. ALL of those have been archived. http://freewebs.com/professor_enigma/iowa-covid-19-spike This focuses specifically on Iowa, New Mexico, Illinois & California w/ lots of good info, go read it!]

Let’s bury these #BranchCovidians some more, shall we? Tom Woods recently https://mailchi.mp/tomwoods/scorecard?e=be42d9646c https://archive.ph/Xt04A https://mcusercontent.com/77713d21ff56f1c126607d2c5/images/695ed1ff-2c93-6bc9-1150-373ed8c8047a.png featured a post reciting CDC data on *age-adjusted* death rates (Florida is expected to be higher in deaths per capita as they have a high % of residents in the 65+ age group, California should be much lower as their population features a high % of folks under 65) for COVID-19 & if I gave you the data & covered up the states, you could not tell me (especially if you are a Dumbasscrat) which states had California, New York & New Mexico style lockdowns & hysteria & which ones “did not care who died or lived.”

I dubbed those states the NON-LOCKDOWNS (Iowa, North Dakota, South Dakota, Wyoming, Utah, Arkansas & Nebraska) & the LOCKDOWNS (these states were clustered in the Northeast & went bonkers over a respiratory virus) were New York, New Jersey, Connecticut, Massachusetts, District of Columbia & Rhode Island. The LOCKDOWNS PLUS TWO were those aforementioned states plus Maryland & Delaware.

[NOTE: I could NOT find the exact chart Tom Woods was illustrating (I wish he had linked to it directly), but the following are close & they give us some good data on death rates by race & ethnicity.
https://www.cdc.gov/nchs/pressroom/sosmap/covid19_mortality_final/COVID19.htm https://www.cdc.gov/mmwr/volumes/72/wr/mm7218a4.htm ]

Some of the states in the Top 20 are more rural (like New Mexico & understand that Iowa for example is a “rural” state but has a handful of counties that have are much more dense than the U.S. average) such as New Mexico, Nevada & Kansas – some are densely populated like NY, NJ & Georgia.

There are some rural states that did decidedly better than the national average (Iowa, Idaho, Utah) & some densely populated areas like Illinois & MA. The former has a lot of rural counties however inside a state w/ a few large population centers. In the latter, they are packed-in like sardines.

https://www.census.gov/quickfacts/fact/table/NE,UT,WY,SD,ND,IA/PST045222 https://www.census.gov/quickfacts/fact/table/RI,DC,MA,CT,NJ,NY/PST045222 https://www.census.gov/quickfacts/fact/table/DE,MD,IL,NM,AR,US/PST045222

Of the states that never had a shelter-in-place or stay-at-home order – IA, ND & especially NE & UT were below the national average. Democrats often autistically repeat, “they be spread out, that why those states did so well!”

So, what happened in NV, KS, Louisiana & NM? All of those are below the national average for population density & LA is not much above it. There are a number of states that are more densely populated than LA that did much better than the national average.

Here are the biggest stories according to the incomparable Thomas E. Woods:

[Woods quote] The CDC has released its numbers for age-adjusted Covid mortality… New Mexico is the fourth highest. You may not remember, because you're not the fanatic I am, but the media once trumpeted New Mexico as a success story. [NOTE: See https://rumble.com/v111dfj-latifah-faisal-story-county-iowa-supervisor-vs.-kim-reynolds-covid-19-new-m.html & https://rumble.com/vsf0b9-story-county-iowa-supervisor-latifah-faisal-got-duped-by-covid-19-scientocr.html ] It was one of their drearily predictable "Here's how [insert name of state] beat the coronavirus" stories. And of course it was the usual thing: they followed the useless "public health" protocols, etc. And yet there it is at number four.

(I would also adjust this chart for obesity levels, because I think we'd get a clearer picture still.)

Iowa, the "state that doesn't care if you live or die," in the words of The Atlantic, is all the way down at 27. And of course the major story is Florida, at 36!

California, the land of bizarre, irrational, and endless restrictions, is at 39 -- a trivial difference from Florida, and in any case Florida's all-cause mortality figures turned out better than California's.

Remember when people were screaming at Florida for defying all the recommendations? If you had asked them where they expected Florida to wind up when all was said and done, precisely zero of them would have said #36. It would have been at least top five, if not number one.

In other words, the crazies were wrong, period, and we win. All the destruction and disruption was for nothing. [Woods quote end]

I could also add, look where NY, MI & NJ are (all Democrat Governors), would the #BranchCovidians have believed they would be above the national average when it is said & done? How come MA (GOP Governor at the time, for what it is worth) did much better yet they are packed-in like sardines?

Just some food for thought, let us keep plowing forward.

That said, let us tabulate ALL the age-adjusted death rates & a population standard deviation:

422.9, 422.3, 366.9, 356.5, 355.9, 353.1, 345.2, 342.1, 335, 331.6, 329.5, 327.5, 325.1, 324.1, 321.7, 313.3, 311.5, 301.8, 300, 298, 296.5, 293.9, 293, 287.8, 281.2, 279.5, 267.7, 267.3, 266.7, 266.1, 260.9, 259.1, 255.8, 250.4, 245.5, 245, 244.6, 244.4, 242.7, 232.9, 232.5, 229.8, 222.7, 222, 195.5, 176.5, 173.4, 170.3, 161.3, 112.4, 93.8

The average I get from those numbers (tossing out the U.S. average of course) is 275.592 & I presume the discrepancy is because of states that have much higher % of older folks (regardless of density & en masse population) & thus a lot more older folks than other states. E.G. California could have a murder rate of 10 per 100,000 & Iowa could have a murder rate of 30 per 100,000, but the calculated average of those two states together would NOT equal 20 per 100,000 because California has so many more residents. I will use the figure provided in Tom Woods’ post, which was 282.7 per 100,000. The Population Standard Deviation = 67.652

Hawaii, like New Zealand did great because… it is an island. Some Democrats were retarded enough to think the Kiwi nation solved the COVID-19 crisis, but I’m not sure if they’ve ever looked at a map of Oceania. They probably can’t even find Ohio on a U.S. map.

The states that are *more than* one standard deviation *above* the average (282.7+67.652 = 350.352) are: MS, OK, KY, NM, AL & TX.

The states that are *more than* one standard deviation *below* the average (282.7-67.652 = 215.048) are: UT, NH, OR, WA, ME, VT & HI.

Notice all the states that did “really well” (save HI, due to being an island) were in more northern climes & all the states that did “really bad” could be considered states w/ more tolerable winters. If you think they are not tolerable, spend a winter in northern MN or the Dakotas & get back to me.

A slew of states, in fact most states fall within 1SD of the average, some of them rural (and like most rural states, they have some population centers) & some of them densely populated. Some of them are Democrat trifectas & some of them are GOP trifectas.

And again, the big story according to Mr. Woods (and he’s right) is NM’s total failure, as well as FL & CA being almost neck-and-neck. Who would’ve thunk it?

Not Story County, Iowa Supervisor Latifah Faisal #latifahfaisal #faisal4story (she is the #AOC of Iowa, never had a real job & not very bright) or the Divorcee Sam Seder or “Little” Anthony Fauci. The Scientific American should hang its head in shame over its declaration that NM had “solved” COVID-19 – no, it did not.

Ironically, Iowa’s worst counties were some of the more rural in the first several months of COVID-19 & the counties in Iowa that are more densely populated than the national average were doing much better. In NM, there were a handful of counties having most of the problems, everyone needs to remember that.

https://www.census.gov/quickfacts/fact/table/VT,ME,WA,OR,NH,UT/PST045222 According to the latest Census Bureau data the U.S. has a population of (333,287,557) 93.8 people per square mile & the combined population of the states that did “really well” (UT, NH, OR, WA, ME, VT – I am tossing out Hawaii… because island) was 18,834,358 (only 5.65% of the entire U.S. population) & the average population per square mile was 77.933 – a far cry below the U.S. average.

https://www.census.gov/quickfacts/fact/table/AL,NM,KY,OK,TX,MS/PST045222 The combined population of the states that did “really bad” (MS, OK, KY, NM, AL & TX) was 48,689,379 (only 14.6% of the U.S. population) & the average population per square mile was 77.2.

Barely one-fifth of the U.S. population was in states that were on the extreme, one end or the other.

Not much difference in density between those two groups, eh? Virtually identical! Funny, isn’t it? I was told by more than a few dozen uneducated Democrats (after I gave them some COVID-1 death rate numbers) that the reasons “some red states are doing better” (after shrieking like banshees about Kristi Noem, Ron DeSantis & Kim Reynolds wanting to kill everyone w/ a respiratory virus) is because nobody lives there & it’s all spread out.

One could point out, as I have mentioned, you could conceivably have the entire population clustered in one small area and the rest of the state be hypothetically empty. Ergo, you could have an area well below the U.S. average for density, yet one area has a massive cluster. Fair enough!

But remember that the counties in Iowa & New Mexico (because I did run these numbers troglodyte) that had the biggest issues were not densely populated. Remember that!

In the group that did “really bad” only 3 states had a population density above the U.S. average & the others were well below. In the group that did “really good” only two were denser than the U.S. average & the others were not even close to the average.

Do I want to run the numbers for the densest counties in TX, AL, WA, NH, etc. & compare those w/ the most rural counties? Did enough of that for IA & NM, no thanks!

Are there other factors we could consider? Of course, we could look at race/ethnicity demographics, as well as the % of the population that is in the 65+ age group, which we will do first. 16.8% of the U.S. population en masse is 65 or older. https://public.tableau.com/views/ThePopulation65YearsandOlder2021/Dashboard?:showVizHome=no https://data.census.gov/table?q=population+by+age+by+state&tid=ACSST1Y2021.S0101 (I downloaded the data from the 2nd link into Excel, isolated the necessary cells (excl. Puerto Rico) & that was the info I used)

(17.6,13.4,18.3,17.4,15.2,15.1,18.0,20.1,12.8,21.1,14.7,19.6,16.5,16.6,16.4,17.8,16.7,17.0,16.6,21.7,16.3,17.4,18.1,16.8,16.8,17.6,19.7,16.4,16.5,19.3,16.9,18.5,17.5,17.0,16.0,17.8,16.2,18.6,19.0,18.3,18.6,17.6,17.0,13.2,11.6,20.6,16.3,16.2,20.7,17.9,17.9)

Those 51 data points average 17.272 & the Population Standard Deviation = 1.997, but we only need the latter data point.

Pertaining to the states that did “really bad” on COVID-19 (MS, OK, KY, NM, AL & TX), all of them (16.8+1.997 = 18.797) are within 1SD of the average % of the population that is 65 or older, so *NONE OF THEM* are outliers & that doesn’t necessarily explain their problems. In fact, TX has such a small % of their population 65 & over, they were one standard deviation below the national average.

Pertaining to the states that did “really good” on COVID-19 (UT, NH, OR, WA, ME, VT), Vermont, Maine & New Hampshire all had a % of 65 & older residents that were one standard deviation *ABOVE* the national average, yet they still did exceptionally well. Oregon was very close to being 1SD above.

UT was 1SD below the national average, they have a very small % of people 65 & over. The other two states (OR & WA) were inside 1 SD. So, it could be something else, such as demographics?

It should be noted that death rates per 100,000 don’t rise significantly until you hit the 25-34 age group & go into orbit when you hit 65+ age groups. Surprised? If so, you’re an idiot.

All groups got *worse* in 2021 (except for the oldest group & likely because there’s not a lot of those people around anyways, sorry!), despite the vaccine-palooza.

Now, if I take all the CDC data for each year 2020-2022 by Race & Ethnicity for each group (190.8,201.8,86.8,67.2,66.6,34.1,154.8,151.4,72.9,123.5,200.9,67.8,74.1,105.0,61.2,164.8,161.7,60.9,31.9,50.7,26.7) & that is an average of 102.647. Population Standard Deviation = 56.692

For the groups that were *more than one standard deviation above* (in any one year) the average were (102.647+56.692 = 159.339) American Indian or Alaska Native, Hispanic or Latino & Native Hawaiian or other Pacific Islander. I am going to add Black or African American to the list since they were so close as well. If you do not like that, sue me.

https://www.census.gov/quickfacts/fact/table/US/PST045222 According to the Census Bureau, America was 13.6% “Black”, 1.3% “AI/AN”, 18.9% “Hispanic or Latino” & 0.3% “Native Hawaiian and Other Pacific Islander alone.” Those were the groups that struggled w/ COVID-19. Then we have 59.3% of the population is “White alone, NOT Hispanic” & 6.1% “Asian alone.”

Again, the states that struggled w/ COVID-19 were MS, OK, KY, NM, AL & TX and the s states that did well (e.g. had age-adjusted death rates more than 1SD below the national average) were UT, NH, OR, WA, ME & VT.

Peeking at the demographics of those states let us find out if that had anything to do with it or not. https://data.census.gov/table?g=010XX00US$0400000&d=DEC+Demographic+Profile&tid=DECENNIALDP2020.DP1 (Again, I used the Excel file & I tabulated “White” & “Asian” under the “One Race” category)

To make this easier, since White only & Asian only (Non-Hispanic) did the best, I will simply calculate the % of each state population that has those two groups combined. I know this data won’t exactly jive (due to Census revisions that have become rather common) w/ my previous data on age groups, but it should be close enough to compare. Don’t like it? Sue me.

Adding those two groups together for each state (because lumping it all together would be cheating, I had to do both groups for each state, one at a time) yields these data points: (65.6, 65.4, 64, 71.9, 56.6, 74.2, 71.2, 64.7, 44.5, 60.7, 56.4, 60.1, 83.6, 67.3, 79.7, 86.9, 78.5, 84.1, 59, 92, 55.5, 76.8, 77.2, 82.7, 57.1, 79.2, 85.3, 81.1, 60, 90.9, 65.2, 52.8, 64.8, 65.5, 84.6, 79.5, 65.8, 79.4, 78.9, 74.9, 65.2, 82.2, 74.2, 55.5, 81.2, 91.6, 67.4, 76.1, 90.6, 83.4, 85.6) & the average is 72.482. Population Standard Deviation = 11.578.

States that were *one standard deviation above* (72.482+11.578 = 84.06%) were Iowa, Kentucky, Maine, Montana, New Hampshire, North Dakota, Vermont, West Virginia & Wyoming. Their cumulative age-adjusted COVID-19 death rate = 253.366 per 100,000.

Below the national average, but not one standard deviation (1SD) & thus not an outlier.

These results are a bit puzzling – among those states (although if we did factor in those who are drug-abusers & obesity, labor force participation rates, etc. we might write a whole book & get a clearer picture) Kentucky was one of the worst, despite being heavy among demographics that did much better pertaining to COVID-19 death rates.

Not surprisingly, the states that were in the upper echelon (age-adjusted death rates >1SD *below* the national average) were Vermont, New Hampshire & Maine. In other words, states with a very high % of white folks. I wonder if they’d get upset over Ron DeSantis dumping a few hundred thousand illegal alien migrants inside their borders? I digress.

Montana & ND were below the national average, WY & WV were above it, the latter being very close to >1SD above the average.

States that were *one standard deviation below* (72.482-11.578 = 60.904%) pertaining to those demographics are (small % of population that is Non-Hispanic White & Non-Hispanic Asian): California, District of Columbia, Florida, Georgia, Hawaii, Louisiana, Maryland, Mississippi, Nevada, New Mexico & Texas. Their cumulative age-adjusted COVID-19 death rate minus Hawaii = 311.55 per 100,000.

Much higher than the national average, but still within 1SD & thus not an outlier.

No surprise HI did well, an island nation w/ a very high percentage of “Asian alone” residents & they fared very well against COVID-19. They were the only one in the very successful group that had those demographics <1SD below the national average.

MS, NM & TX all fared poorly (>1SD above the age-adjusted national death rate) & their demographics (as well as a slew of personal health factors such as diabetes, obesity, poor eating habits, drug use, lack of activity, etc.) may be part of the reason.

CA, DC, FL & MD were all below the national age-adjusted death rate average, but within 1SD. GA, LA & NV were all above the national age-adjusted death rate average, but within the coveted one standard deviation.

I have to conclude, the most definitive thing I can get from this is *IF* you lived in a climate where the winters are brutally cold & your state was not a racially-diverse melting pot, your chances of having an age-adjusted COVID-19 death rate that is an outlier on the low end was much, much better overall than a state in a hotter climate (mild winters for the most part, winter in NM & TX is much different than winter in the Dakotas) down South.

That is what I get from this *when I consider the outliers* – the states that did very well or very bad because just autistically-repeating, “Kim Reynolds did not lock down, she never had a shelter in place or stay at home order. Kristi Noem did not lock down, that’s why people died. Ron DeSantis did not lock down long enough & that’s why people died!”

That line of B.S. has been buried.

I will finally close w/ this. Those states that never had shelter-in-place or stay-at-home orders (IA, ND, SD, UT, WY, NE, AR) had a collective age-adjusted death rate of 274.614 per 100,000, which is within one standard deviation of the national average. In my essays, I dubbed them the NON-LOCKDOWNS. http://freewebs.com/professor_enigma/covid-19-hysteria

The states that went crazy, a cluster up in the Northeast (NY, NJ, CT, MA, DC & RI) had a collective age-adjusted death rate of 273.4 per 100,000. *VIRTUALLY IDENTICAL* to the states that “did not care if people lived or died” according to mentally ill carnival barkers in the Regressive Democrat camp. Who would’ve thunk it?

If I tossed in New Mexico amongst that group (because those are the states that went above-and-beyond in COVID-19 insanity) that would push it up a bit more, but the point is if I covered the names of all those states up & let Democrats guess, they would be wrong.

Here is some more information pertaining to the LOCKDOWNS (NY, NJ, CT, MA, DC & RI) vs. The NON-LOCKDOWNS (IA, ND, SD, UT, WY, NE, AR): The latter, in the year or so following the onset of COVID-19 – were more mobile & were not sheltering-in-place (see the previous link, as well as https://rumble.com/vju1d9-old-fart-rants-and-his-brown-teeth-cannot-defend-covid-19-lockdowns.html & the comment I added on it https://archive.ph/hmG4f because I forgot to put it in the description), which according to Democrats should lead to piles of dead bodies a mile high, that is not the case of course.

I mentioned the Univ. of Maryland “Social Distancing Index” https://data.covid.umd.edu/ in my essay debunking YouTube drug addict Old Fart Rants but let us supplement that data for everyone.

https://archive.ph/Tv6i2 https://archive.ph/Tv6i2/47f66e96a8db68cf4525bfe136dfacf3ed2ae605.jpg https://archive.ph/Ars2c Here are the state-by-state numbers on their “Social Distancing Index” from 2/1/20 to 4/20/21, when they ceased updating it. I took a screenshot just so you can see the data for yourself, I am telling you the truth.

I covered the “Social Distancing Index” data briefly in my essays, but never went from 2/1/20 to 4/20/21 – let us do that shall we?

The “Social Distancing Index” data for all 50 states (plus DC) are: 26, 29, 31, 25, 38, 31, 34, 33, 57, 33, 29, 41, 26, 32, 27, 26, 28, 27, 30, 26, 38, 36, 32, 30, 25, 27, 26, 27, 34, 28, 39, 31, 44, 28, 26, 29, 25, 33, 33, 32, 27, 24, 26, 30, 29, 30, 34, 34, 28, 27, 24 ***The HIGHER your score, the more locking-down you did, the LOWER your score, you wanted people to die according to the antique media #BranchCovidians *** https://data.covid.umd.edu/about/index.html

The cumulative avg. of those numbers = 30.686 & the Population Standard Deviation = 5.798

States that were *more than one standard deviation BELOW the average* & were thus naughty are (30.686-5.798 = 24.888): Arkansas, Mississippi, Oklahoma, South Dakota & Wyoming.

[NOTE: Since the Social Distancing Index score is rounded, any state scoring a 25 or lower is included in the list above]

Age-adjusted COVID-19 death rate per 100,000 for AR, MS, OK, SD & WY = 355.7

That is *MORE THAN one standard deviation above* the national age-adjusted death rate average. #BranchCovidians are smiling

[NOTE: Iowa, Alabama, Maine, Idaho, Montana, North Dakota & Tennessee all scored a “26” & were thus, close – but those are the rules]

States that were *more than one standard deviation ABOVE the average* & were thus did what their East German masters told them (30.686+5.798 = 36.484) are: California, District of Columbia, Maryland, Massachusetts, New Jersey & New York.

[NOTE: Again, due to lack of rounding & the average landing in the middle, any state scoring a 36 or above is included in the above list. Not including Hawaii… because island]
Age-adjusted COVID-19 death rate per 100,000 for CA, DC, MD, MA, NJ & NY = 268.683

That is within 1SD of the national average, nothing to cheer about, nothing to boo about. If the lockdown sociopaths were right, they should have age-adjusted death rates below everyone else or close to that, but it’s not the case.

Iowa, Florida, Idaho, Montana & Utah all had lower death rates, just in case they think the above is a big deal, it is not.

The NON-LOCKDOWNS (IA, ND, SD, UT, WY, NE, AR) had a collective “Social Distancing Index” score of 25.857 & an age-adjusted COVID-19 death rate of 274.614 per 100,000. AGAIN, VIRTUALLY IDENTICAL to the LOCKDOWNS!

THE LOCKDOWNS (NY, NJ, CT, MA, DC, RI) had a collective “Social Distancing Index” score of 40.333 an age-adjusted COVID-19 death rate of 273.4 per 100,000. Below the national average, but within 1SD of it, so nothing that would be considered an outlier, but that is what the sociopaths on lockdown land expected because they were good little Soviets, sheltering place on their fat duffs, wasting their lives watching Netflix.

The previous two paragraphs should not be true, it should not happen. I repeat myself because this will hammer it into peoples’ heads, perhaps some of you who are aware of what these #BranchCovidians want to do will help wake someone up to the Fascism creeping into American society, courtesy of people who think we can control a respiratory virus.

In conclusion, there’s no truth to the “lockdowns save lives” rubbish & there never was. I do wish the Univ. of MD “Social Distancing Index” went through 2022, but it is what it is.

I presume the Democrats would try to get out of this by saying we need a national lockdown & if we had that by golly, we’d have more freeloaders voting Democrat & somehow, some way COVID-19 would be in the dust bin of history.

A national lock down would likely get kiboshed by the SCOTUS, which is one of the reasons Democrats want to pack the court, so they can get their national lockdowns, take away everyone’s firearms (but the hood rats will still have them) & regulate farming into oblivion.

That is a good reason to get Joe Biden out of the WH next November & give Republicans control of the Senate. Thomas Sowell said, “The Republicans are dumb, the Democrats are dangerous.”

We may need a national divorce or the Progressives will be signing a new Treaty of Paris acknowledging defeat.

We can’t stop idiots from giving HIV to their new friend they met at the Blue Oyster Bar an hour ago, yet they think we can stop a respiratory virus. https://rumble.com/v2e2f68-divorcee-sam-seder-just-isnt-very-bright-covid-19-vs.-aidshiv.html

Mr. Chairman, I Yield Back!

PS Tell your unemployed Democrat friends to take Tom Woods’ COVID-19 quiz https://rumble.com/vii8iz-latifah-faisal-story-county-iowa-supervisor-takes-the-covid-19-chart-challe.html https://www.covidchartsquiz.com/