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Daily Statistical Summary of COVID-19

Exponential growth, which is very common in biology, which is easier understood by rabbits breeding and increasing their population quickly, and "They told two friends, then they told two friends, and so on ...," and "viral" videos.

Why are the lines trending down when the pandemic is said to be getting worse, and the first chart seems to say that, too?

Because the linear trend lines take into accourt what the data IS since the beginning.

The polynomial trend lines take into account how the data has been behaving recently.
 
Because the linear trend lines take into accourt what the data IS since the beginning.

The polynomial trend lines take into account how the data has been behaving recently.
I'm not trying to "gotcha."

The top chart is titled "mortality index" with an explanation; the bottom is "mortality rate." So, it looks like they're not comparable.

Are these your work and/or Worldometer's?
 
I'm not trying to "gotcha."

The top chart is titled "mortality index" with an explanation; the bottom is "mortality rate." So, it looks like they're not comparable.

Are these your work and/or Worldometer's?

The "Mortality Index" is a correlation between (to simplify it) "testing", "cases" and "deaths".

The "Mortality Rate" is a percentage of deaths per known case. I list both the "Mortality Rate (ALL)" and the "Mortality Rate (CLOSED)" because most people are familiar with the "Mortality Rate (ALL)" but I consider that the "Mortality Rate (CLOSED)" (which does not get calculated on the assumption that NONE of the people with currently active cases of COVIE-19 will die) is a more accurate measure of severity.

BOTH of those "Mortality Rates" are declining in the US as the medical profession gets more effective in coping with active cases of COVID-19.

The "Mortality Index" keeps climbing because the increase in the level of testing is not keeping pace with the increase in both new cases and deaths.
 
I'm not trying to "gotcha."

The top chart is titled "mortality index" with an explanation; the bottom is "mortality rate." So, it looks like they're not comparable.

Are these your work and/or Worldometer's?

The data is from Worldometer. The trend lines are from Excel. If you think that Excel is calculating the trend lines incorrectly, then please address your concerns to Microsoft.

Please take a few minutes and read the "General Notes" that head each page.
 
BOTH of those "Mortality Rates" are declining in the US as the medical profession gets more effective in coping with active cases of COVID-19.
This is what I was asking for.
 
This is what I was asking for.

Glad to have been of assistance.

I may make snarky comments about the data, but I do NOT "amend it to suit an agenda". Not only that, but there are some correlations which the spread sheet produces that I simply don't bother to post. One of them is the ratio of the Canadian mortality rates to the American mortality rates. When I started recording, the Canadian rates were 1.29 times as high as the US rates. They increased until they were over 2 times as high, then the started dropping until, today they are 1.09 times as high as the US rates.

Obviously BOTH Canada and the US are learning how to treat COVID-19 more effectively.
 
***********************************************

BLOCK 1 - DATA and CORRELATIONS

***********************************************

Compare how the “G-8+China” group, an aggregated “Europe” and an aggregated “World” are doing vis-à-vis each other.

20-12-31 A1 - G8 + CHINA COVID TABLE.webp

***********************************************​

Projections based on the trends current as of the day of posting showing how COVID-19 is likely to progress, its likely total in its first year in the US, and comparing its effect with that of the “Spanish Flu”

20-12-31 A2 - COVID vs Other Causes TABLE.webp

COVID-19 is now the THIRD largest cause of death in the US.

The next "Grim Mortality Milestone” is the psychologically significant number

400,000

IF the current trends continue, THEN this number will be reached on or about 21 JAN 21.

***********************************************​

If you want to see how likely a random person in the “G-8+China” group, an aggregated “Europe” or an aggregated “World” is to die from COVID-19 (which is a combination of the answers to the questions “How likely am I to catch COVID-19?” and “If I do catch COVID-19, then how likely am I to die from it?”) this table shows you. It also shows how well the areas are doing in respect of their (per capita) relative abilities to pay for fighting COVID-19 and with respect to the (per capita) amount that they previously spent on supporting their healthcare systems.

20-12-31 A3 - Comparison of Ratios TABLE.webp
 
***********************************************

BLOCK 2 - DATA

(WITH ARROWS [for the graduates of the BS (Statistics) program at The University of Numerology])

***********************************************

QUICK SUMMARY
OF Comparative COVID-19 (Total Deaths/Total Cases) & Mortality Closed %

- Data source - COVID-19 Coronavirus Pandemic (at aprox. 1400 Z on the date of posting) -

See “General Notes” for caveats as to accuracy of data and “Mortality Rate (Closed)” use.

20/10/05 – World (1,042,616/35,444,476) 3.76% [⇓] / USA (214,626/7,637,864) 4.24% [⇓] / Canada (9,481/166,156) 6.33% [⇓]
20/10/10 – World (1,073,673/37,175,477) 3.70% [⇓] / USA (218,685/7,895,738) 4.14% [⇓] / Canada (9,585/178,117) 6.02% [⇓]
20/10/15 – World (1,098,143/38,832,219) 3.63% [⇓] / USA (221,895/8,156,124) 4.03% [⇓] / Canada (9,664/189,387) 5.72% [⇓]
20/10/20 – World (1,124,519/40,749,872) 3.57% [⇓] / USA (225,269/8,459,967) 3.93% [⇓] / Canada (9,778/201,437) 5.45% [⇓]
20/10/25 – World (1,156,181/43,055,448) 3.51% [⇓] / USA (230,086/8,831,449) 3.85% [⇓] / Canada (9,922/213,959) 5.23% [⇓]
20/10/30 – World (1,188,262/45,475,853) 3.47% [⇓] / USA (234,218/9,521,474) 3.77% [⇓] / Canada (10,074/228,542) 5.00% [⇓]
20/11/05 – World (1,233,212/48,588,813) 3.42% [⇓] / USA (239,842/9,802,374) 3.67% [⇓] / Canada (10,331/247,703) 4.78% [⇓]
20/11/10 – World (1,271,398/51,359,570) 3.40% [↭] / USA (244,449/10,422,026) 3.60% [⇓] / Canada (10,564/268,735) 4.61% [⇓]
20/11/15 – World (1,320,932/54,506,572) 3.36% [⇓] / USA (251,285/11,235,666) 3.52% [⇓] / Canada (10,891/291,931) 4.47% [⇓]
20/11/20 – World (1,368,622/57,394,073) 3.32% [↭] / USA (258,363/12,075,243) 3.44% [⇓] / Canada (11,265/315,754) 4.27% [⇓]
20/11/25 – World (1,417,896/60,242,064) 3.29% [↭] / USA (265,986/12,958,805) 3.36% [⇓] / Canada (11,618/342,444) 4.08% [⇓]
20/11/30 – World (1,467,511/63,199,555) 3.25% [⇓] / USA (273,126/13,753,146) 3.26% [⇓] / Canada (12,032/307,278) 3.93% [⇓]
20/12/05 – World (1,527,740/66,408,088) 3.22% [↭] / USA (285,786/14,784,826) 3.19% [⇓] / Canada (12,496/402,569) 3.76% [⇓]
20/12/10 – World (1,579,100/69,418,464) 3.17% [⇓] / USA (296,836/15,829,017) 3.11% [⇓] / Canada (12,983/435,330) 3.58% [⇓]
20/12/15 – World (1,631,067/73,337,911) 3.07% [⇓] / USA (308,091/16,943,897) 3.02% [⇓] / Canada (13,553/468,862) 3.45% [⇓]
20/12/20 – World (1,694,129/76,728,477) 3.05% [⇓] / USA (323,404/18,078,925) 2.98% [⇓] / Canada (14,154/501,594) 3.33% [⇓]
20/12/22 – NO DATA ENTRY THIS DATE – Systems “issues”
20/12/23 – World (1,722,190/78,302,263) 3.03% [⇓] / USA (330,864/18,688,529) 2.93% [⇓] / Canada (14,425/521,509) 3.23% [⇓]
20/12/24 – World (1,740,719/79,206,175) 3.02% [⇓] / USA (334,239/18,919,461) 2.92% [⇓] / Canada (14,597/528,354) 3.22% [⇓]
20/12/25 – World (1,751,877/79,864,734) 3.02% [↭] / USA (337,075/19,113,266) 2.92% [↭] / Canada (14,719/535,212) 3.21% [⇓]
20/12/26 – World (1,759,690/80,306,622) 3.02% [↭] / USA (338,283/19,212,044) 2.92% [↭] / Canada (14,719/535,213) 3.21% [↭]
20/12/27 – World (1,766,603/80,799,040) 3.01% [⇓] / USA (339,921/19,433,847) 2.89% [⇓] / Canada (14,800/541,616) 3.20% [⇓]
20/12/28 - World (1,774,492/81,273,119) 3.00% [⇓] / USA (341,196/19,580,713) 2.88% [⇓] / Canada (14,963/552,020) 3.17% [⇓]
20/12/29 – World (1,785,004/81,842,364) 2.99% [⇓] / USA (343,270/19,793,361) 2.85% [⇓] / Canada (15,121/555,207) 3.14% [⇓]
20/12/30 – World (1,800,115/82,477,841) 2.99% [↭] / USA (346,604/19,979,759) 2.84% [⇓] / Canada (15,378/565,506) 3.12% [⇓]
20/12/31 – World (1,815,260/83,206,321) 2.98% [⇓] / USA (350,778/20,216,991) 2.84% [↭] / Canada (15,472/572,982) 3.09% [⇓]

***********************************************​

The “Rolling 7 day US average deaths per day” TODAY is 2,363 (YESTERDAY it was 2,249).

The US, the 10 day average of the “Rolling 7 day US average deaths per day” is BELOW 2,600 for the second day in a row.

The US mortality rate for CLOSED cases is still dropping.

20-12-31 B1 - Mortality Rate CLOSED GRAPH.webp

The number of deaths per day data has returned to acting “normally”.

20-12-31 B2 - US Daily Deaths.webp

How are the major nations coping? This chart, from Our World in Data

20-12-31 B3 - Our World in Data CDC G-8 plus China GRAPH.webp

illustrates the relative growth rates of COVID-19 in those areas.

Europe IS in the midst of "The Second Wave" of COVID-19. Is the US in a "(First?) Second (Third?) Wave"? See the next block and draw your own conclusions.
 
***********************************************

BLOCK 3 – TODAY’S “WAVE(?)”CHARTS

***********************************************


Today’s charts are based on Worldometer data as of approximately 1400 Z on the day of posting)

20-12-31 C1 - 7 Day Average GRAPH.webp

The rolling "7 Day Average" death rate is now higher than it has been since the beginning of May (shortly after Mr. Trump announced that COVID-19 would "vanish in a couple of weeks”).

20-12-31 C2 - 10 Day Average of Averages GRAPH.webp

The rolling "10 Day Average of the 7 Day Averages" (which gives a much "cleaner" charting) death rate is now higher than it has been since the beginning of May (shortly after Mr. Trump announced that COVID-19 would "vanish in a couple of weeks").

20-12-31 C3 - Daily NEW Case Averages.webp

The "New Cases per Day" numbers may be unreliable due to the combined effect of a weekend and “The Christmas Effect”. This might last into the new year. The daily average of new cases for the past 30 days is 199,943, for the past 10 days it is 209,774, and for the past five days it is 194,941.

Is this the “Second Wave” or the "Third Wave"? Will there be another? Will the US simply continue its (essentially) straight line path without leveling until the pandemic crests and crashes? Draw your own conclusions from the charts and the facts NOT from the latest version of the currently operative, officially sanctioned, "Team Trump" approved, White House issued, truth-of-the-day as delivered by the -ONAN- (oops, sorry, that's) OANN people.
 
***********************************************

BLOCK 4A – US States DATA and CORRELATIONS

IN TABLES

***********************************************


HOW IS YOUR STATE DOING?

All base data is from Worldometer as of ~1400 on the date of posting.

NOTE – 1

The Oregon, Delaware, and Alaska data for recovered cases are out of date and there is no newer data available. The “Mortality Rate (Closed)” and “Recovered Rate” are unreliable for those states.
*
NOTE – 2

The percentage [top chart at the bottom of the tables] shows how well the “Red States” and “Blue States” are doing in terms of their percentage of the US population. If the “X States” had 50% of the population and 55% of whatever was being measured, then the “X States” would show as 110% while the “Y States” would show as 90%.​

First, the table sorted by "Blue States" (listed by "Mortality Rate [Closed]") and "Red States" (listed by "Mortality Rate [Closed]")

20-12-31 D1a - Red vs Blue - States by Color Sort TABLE.webp[INSERT D1a HERE]​

And then sorted by “Cases per Million”

20-12-31 D1b - Red vs Blue - Cases TABLE.webp

And then sorted by “Deaths per Million”

20-12-31 D1c - Red vs Blue - Deaths TABLE.webp

Those are OK if you want to look up specific numbers, but, because they are "single data point" tables, they don’t actually show you what is happening over time. For that, see the next block.
 
***********************************************

BLOCK 4B – US States DATA and CORRELATIONS

IN CHARTS

***********************************************


HOW ARE THE "RED" AND "BLUE" STATES DOING?

As you can see from the "Summary" table, BOTH the "Red States" and the "Blue States" have now moved into the blue "±5% of Average" zone on the "Deaths per Million" column. The "Red States" have moved into that zone from the green "LESS that 95% of Average" zone (for those who still believe that their "expert prediction of 10,300 ABSOLUTE MAXIMUM deaths is accurate, that means that their performance is getting worse)and the "Blue States" have moved into that zone from the red "MORE than 105% of Average" zone (for those who still believe that their "expert prediction of 10,300 ABSOLUTE MAXIMUM deaths is accurate, that means that their performance is getting better).

The “Red States” relative percentage of deaths has now moved from the (better than 5% less than the National Average) “Green Zone” and into the (±5% of National Average) “Blue Zone.

20-12-31 D2a - Red vs Blue - States by Color Sort Summary TABLE.webp

The situation with respect to “Cases per Million” continues NOT to be “happy making”. In fact, NO STATE has a “Cases per Million” rate that is lower than the world average.

The "Red States" increase in "Cases per Million" continues at a faster pace than that of the "Blue States".

20-12-31 D2b - Red vs Blue - Cases CHART.webp

As far as “Deaths per Million” goes, the “Blue States” and the “Red States” are still battling it out to see which can win the "I can kill more of my people than you can" title. BUT, the "Red States" look like they might be "winning".

20-12-31 D2c - Red vs Blue - Deaths CHART.webp
 
***********************************************

BLOCK 5 – US States DATA and CORRELATIONS

Mortality Measures

***********************************************

The “Mortality Index” continues to climb. That indicates that the number of deaths is increasing faster than the number of tests so you cannot blame the increase in deaths on the increase in tests.

20-12-31 E1 - Mortality Index CHART.webp

In table format, here is how the individual states are doing

20-12-31 E2 - Red vs Blue - Mortality TABLE.webp

And to give an overview of how the “Red States” and “Blue States” are doing here is that data reduces to a chart.

20-12-31 E3 - Red vs Blue - Mortality CHART.webp
For those who are interested in totally useless and really stupid trivia, **D*O*C*T*O*R** Mashmont's "Expert Prediction" of an ABSOLUTE MAXIMUM of 10,300 American deaths from COVID-19 is now 2.936330% correct, but that's OK because he jusknoz that all the data is fake and since it is that **P*R*O*V*E*S** that he is more accurate than anyone else in the world.
 
***********************************************

BLOCK 6 – THE “TOP 20”s

***********************************************

Of the 20 countries with the highest number of TOTAL cases, the US, with around 10.17% of the total population of the group, has around 30.62% of the total cases for the group. This is roughly 3.01 times its proportional share.

20-12-31 F1 - Worldometer TOP TOTAL Cases TABLE.webp

Of the 20 countries with the highest number of currently ACTIVE cases, the US, with around 10.98% of the total population of the group, has around 51.02% of the total cases for the group. This is roughly 4.65 times its proportional share.

20-12-31 F2 - Worldometer TOP Active Cases TABLE.webp

Extracted from Worldometer, here is the list of the 20 countries with the highest number of COVID-19 “Deaths per Million”

20-12-31 F3 - Worldometer TOP Deaths per Million TABLE.webp

That table shows that those people who are panic mongering and claiming that the US has the world’s highest COVID-19 death rate either simply don’t know what they are talking about or are deliberately attempting to spread false information.

As you can plainly see, <SARC> from that table, all of the countries with higher “Deaths per Million” counts than the US has have “Universal Healthcare Insurance” programs and that is definitive proof that “Universal Healthcare Insurance” programs are ineffective and result in the deaths of millions because of their reliance on Death Panels to ration healthcare (unlike the US where you get all the healthcare that you can pay for out of your own pocket) </SARC>.
 
***********************************************

BLOCK 7 – US States DATA and CORRELATIONS

Mortality Measures

***********************************************

The fact that the total number of US deaths continues to rise isn’t going to surprise anyone other than Dr. Mashmont who jusknowz that the ABSOLUTE MAXIMUM number of COVID-19 deaths peaked out at 10,300 and that there hasn’t been a single COVID-19 death in the US since April 4, 2020.

20-12-31 G1 - Total US Deaths.webp

In the past 24 hours, the US (with approximately 4.25% of the world’s population) has had approximately 27.56% of the world’s COVID-19 deaths. That is a disparity of 6.47 :: 1 which would work out to a “Percentage Grade” of 15.45% (which is an “F”).

A more easily grasped illustration of what the "Daily Death Rate" is doing in the US is

20-12-31 G2 - The Fading of the Green TABLE.webp

Comparing “chance of death” (a combination of “chance of infection” and “mortality rate) to “ability to pay” (PPP GDP per capita) and “previous support for healthcare system” (per capita spending on health care), the data is indicative that the US could have done considerably better than it actually did.

20-12-31 G3b - Death by ABILITY to Pay SHORT TABLE.webp
 
***********************************************

BLOCK 1 - DATA and CORRELATIONS

***********************************************

Compare how the “G-8+China” group, an aggregated “Europe” and an aggregated “World” are doing vis-à-vis each other.

21-01-01 A1 - G8 + CHINA COVID TABLE.webp

***********************************************​

Projections based on the trends current as of the day of posting showing how COVID-19 is likely to progress, its likely total in its first year in the US, and comparing its effect with that of the “Spanish Flu”

21-01-01 A2 - COVID vs Other Causes TABLE.webp

COVID-19 is now the THIRD largest cause of death in the US.

The next "Grim Mortality Milestone” is the psychologically significant number

400,000

IF the current trends continue, THEN this number will be reached on or about 19 JAN 21.

***********************************************​

If you want to see how likely a random person in the “G-8+China” group, an aggregated “Europe” or an aggregated “World” is to die from COVID-19 (which is a combination of the answers to the questions “How likely am I to catch COVID-19?” and “If I do catch COVID-19, then how likely am I to die from it?”) this table shows you. It also shows how well the areas are doing in respect of their (per capita) relative abilities to pay for fighting COVID-19 and with respect to the (per capita) amount that they previously spent on supporting their healthcare systems.

21-01-01 A3 - Comparison of Ratios TABLE.webp
 
***********************************************

BLOCK 2 - DATA

(WITH ARROWS [for the graduates of the BS (Statistics) program at The University of Numerology])

***********************************************

QUICK SUMMARY
OF Comparative COVID-19 (Total Deaths/Total Cases) & Mortality Closed %

- Data source - COVID-19 Coronavirus Pandemic (at aprox. 1400 Z on the date of posting) -

See “General Notes” for caveats as to accuracy of data and “Mortality Rate (Closed)” use.

20/10/10 – World (1,073,673/37,175,477) 3.70% [⇓] / USA (218,685/7,895,738) 4.14% [⇓] / Canada (9,585/178,117) 6.02% [⇓]
20/10/15 – World (1,098,143/38,832,219) 3.63% [⇓] / USA (221,895/8,156,124) 4.03% [⇓] / Canada (9,664/189,387) 5.72% [⇓]
20/10/20 – World (1,124,519/40,749,872) 3.57% [⇓] / USA (225,269/8,459,967) 3.93% [⇓] / Canada (9,778/201,437) 5.45% [⇓]
20/10/25 – World (1,156,181/43,055,448) 3.51% [⇓] / USA (230,086/8,831,449) 3.85% [⇓] / Canada (9,922/213,959) 5.23% [⇓]
20/10/30 – World (1,188,262/45,475,853) 3.47% [⇓] / USA (234,218/9,521,474) 3.77% [⇓] / Canada (10,074/228,542) 5.00% [⇓]
20/11/05 – World (1,233,212/48,588,813) 3.42% [⇓] / USA (239,842/9,802,374) 3.67% [⇓] / Canada (10,331/247,703) 4.78% [⇓]
20/11/10 – World (1,271,398/51,359,570) 3.40% [↭] / USA (244,449/10,422,026) 3.60% [⇓] / Canada (10,564/268,735) 4.61% [⇓]
20/11/15 – World (1,320,932/54,506,572) 3.36% [⇓] / USA (251,285/11,235,666) 3.52% [⇓] / Canada (10,891/291,931) 4.47% [⇓]
20/11/20 – World (1,368,622/57,394,073) 3.32% [↭] / USA (258,363/12,075,243) 3.44% [⇓] / Canada (11,265/315,754) 4.27% [⇓]
20/11/25 – World (1,417,896/60,242,064) 3.29% [↭] / USA (265,986/12,958,805) 3.36% [⇓] / Canada (11,618/342,444) 4.08% [⇓]
20/11/30 – World (1,467,511/63,199,555) 3.25% [⇓] / USA (273,126/13,753,146) 3.26% [⇓] / Canada (12,032/307,278) 3.93% [⇓]
20/12/05 – World (1,527,740/66,408,088) 3.22% [↭] / USA (285,786/14,784,826) 3.19% [⇓] / Canada (12,496/402,569) 3.76% [⇓]
20/12/10 – World (1,579,100/69,418,464) 3.17% [⇓] / USA (296,836/15,829,017) 3.11% [⇓] / Canada (12,983/435,330) 3.58% [⇓]
20/12/15 – World (1,631,067/73,337,911) 3.07% [⇓] / USA (308,091/16,943,897) 3.02% [⇓] / Canada (13,553/468,862) 3.45% [⇓]
20/12/20 – World (1,694,129/76,728,477) 3.05% [⇓] / USA (323,404/18,078,925) 2.98% [⇓] / Canada (14,154/501,594) 3.33% [⇓]
20/12/23 – World (1,722,190/78,302,263) 3.03% [⇓] / USA (330,864/18,688,529) 2.93% [⇓] / Canada (14,425/521,509) 3.23% [⇓]
20/12/24 – World (1,740,719/79,206,175) 3.02% [⇓] / USA (334,239/18,919,461) 2.92% [⇓] / Canada (14,597/528,354) 3.22% [⇓]
20/12/25 – World (1,751,877/79,864,734) 3.02% [↭] / USA (337,075/19,113,266) 2.92% [↭] / Canada (14,719/535,212) 3.21% [⇓]
20/12/26 – World (1,759,690/80,306,622) 3.02% [↭] / USA (338,283/19,212,044) 2.92% [↭] / Canada (14,719/535,213) 3.21% [↭]
20/12/27 – World (1,766,603/80,799,040) 3.01% [⇓] / USA (339,921/19,433,847) 2.89% [⇓] / Canada (14,800/541,616) 3.20% [⇓]
20/12/28 - World (1,774,492/81,273,119) 3.00% [⇓] / USA (341,196/19,580,713) 2.88% [⇓] / Canada (14,963/552,020) 3.17% [⇓]
20/12/29 – World (1,785,004/81,842,364) 2.99% [⇓] / USA (343,270/19,793,361) 2.85% [⇓] / Canada (15,121/555,207) 3.14% [⇓]
20/12/30 – World (1,800,115/82,477,841) 2.99% [↭] / USA (346,604/19,979,759) 2.84% [⇓] / Canada (15,378/565,506) 3.12% [⇓]
20/12/31 – World (1,815,260/83,206,321) 2.98% [⇓] / USA (350,778/20,216,991) 2.84% [↭] / Canada (15,472/572,982) 3.09% [⇓]
21/01/01 – World (1,829,613/84,040,769) 2.98% [↭] / USA (354,381/20,462,501) 2.84% [↭] / Canada (15,606/581,395) 3.09% [↭]

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The “Rolling 7 day US average deaths per day” TODAY is 2,472 (YESTERDAY it was 2,363).

The US, the 10 day average of the “Rolling 7 day US average deaths per day” is BELOW 2,600 for the third day in a row.

The US mortality rate for CLOSED cases is still dropping.

21-01-01 B1 - Mortality Rate CLOSED GRAPH.webp

The number of deaths per day data has returned to acting “normally”.

21-01-01 B2 - US Daily Deaths.webp

How are the major nations coping? This chart, from Our World in Data

21-01-01 B3 - Our World in Data CDC G-8 plus China GRAPH.webp

illustrates the relative growth rates of COVID-19 in those areas.

Europe IS in the midst of "The Second Wave" of COVID-19. Is the US in a "(First?) Second (Third?) Wave"? See the next block and draw your own conclusions.
 
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BLOCK 3 – TODAY’S “WAVE(?)”CHARTS

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Today’s charts are based on Worldometer data as of approximately 1400 Z on the day of posting)

21-01-01 C1 - 7 Day Average GRAPH.webp

The rolling "7 Day Average" death rate is now higher than it has been since the beginning of May (shortly after Mr. Trump announced that COVID-19 would "vanish in a couple of weeks”).

21-01-01 C2 - 10 Day Average of Averages GRAPH.webp

The rolling "10 Day Average of the 7 Day Averages" (which gives a much "cleaner" charting) death rate is now higher than it has been since the beginning of May (shortly after Mr. Trump announced that COVID-19 would "vanish in a couple of weeks").

21-01-01 C3 - Daily NEW Case Averages.webp

The "New Cases per Day" numbers may be unreliable due to the combined effect of a weekend and “The Christmas Effect”. This might last into the new year. The daily average of new cases for the past 30 days is 211,005, for the past 10 days it is 186,401, and for the past five days it is 205,735.

Is this the “Second Wave” or the "Third Wave"? Will there be another? Will the US simply continue its (essentially) straight line path without leveling until the pandemic crests and crashes? Draw your own conclusions from the charts and the facts NOT from the latest version of the currently operative, officially sanctioned, "Team Trump" approved, White House issued, truth-of-the-day as delivered by the -ONAN- (oops, sorry, that's) OANN people.
 
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BLOCK 4A – US States DATA and CORRELATIONS

IN TABLES

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HOW IS YOUR STATE DOING?

All base data is from Worldometer as of ~1400 on the date of posting.

NOTE – 1

The Oregon, Delaware, and Alaska data for recovered cases are out of date and there is no newer data available. The “Mortality Rate (Closed)” and “Recovered Rate” are unreliable for those states.
*
NOTE – 2

The percentage [top chart at the bottom of the tables] shows how well the “Red States” and “Blue States” are doing in terms of their percentage of the US population. If the “X States” had 50% of the population and 55% of whatever was being measured, then the “X States” would show as 110% while the “Y States” would show as 90%.​

First, the table sorted by "Blue States" (listed by "Mortality Rate [Closed]") and "Red States" (listed by "Mortality Rate [Closed]")

21-01-01 D1a - Red vs Blue - States by Color Sort TABLE.webp

And then sorted by “Cases per Million”

21-01-01 D1b - Red vs Blue - Cases TABLE.webp

And then sorted by “Deaths per Million”

21-01-01 D1c - Red vs Blue - Deaths TABLE.webp

Those are OK if you want to look up specific numbers, but, because they are “single data point” tables, they don’t actually show you what is happening over time. For that, see the next block..
 
If Trump and his supporters wore their masks, there might be fewer deaths due to Covid-19.

Maybe Trump and his supporters should be charged with involuntary manslaughter for ignoring CDC recommendations.
 
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BLOCK 4B – US States DATA and CORRELATIONS

IN CHARTS

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HOW ARE THE "RED" AND "BLUE" STATES DOING?

As you can see from the "Summary" table, BOTH the "Red States" and the "Blue States" have now moved into the blue "±5% of Average" zone on the "Deaths per Million" column. The "Red States" have moved into that zone from the green "LESS that 95% of Average" zone (for those who still believe that their "expert prediction of 10,300 ABSOLUTE MAXIMUM deaths is accurate, that means that their performance is getting worse)and the "Blue States" have moved into that zone from the red "MORE than 105% of Average" zone (for those who still believe that their "expert prediction of 10,300 ABSOLUTE MAXIMUM deaths is accurate, that means that their performance is getting better).

The “Red States” relative percentage of deaths has now moved from the (better than 5% less than the National Average) “Green Zone” and into the (±5% of National Average) “Blue Zone. The "Blue States" are headed towards the "Green Zone" and the "Red States" are headed towards the "Red Zone".

21-01-01 D2a - Red vs Blue - States by Color Sort Summary TABLE.webp

The situation with respect to “Cases per Million” continues NOT to be “happy making”. In fact, NO STATE has a “Cases per Million” rate that is lower than the world average.

The "Red States" increase in "Cases per Million" continues at a faster pace than that of the "Blue States".

21-01-01 D2b - Red vs Blue - Cases CHART.webp

As far as “Deaths per Million” goes, the “Blue States” and the “Red States” are still battling it out to see which can win the "I can kill more of my people than you can" title.

21-01-01 D2c - Red vs Blue - Deaths CHART.webp
 
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BLOCK 5 – US States DATA and CORRELATIONS

Mortality Measures

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The “Mortality Index” continues to climb. That indicates that the number of deaths is increasing faster than the number of tests so you cannot blame the increase in deaths on the increase in tests. It looks like I'm going to have to increase the range on the Y-axis again.

21-01-01 E1 - Mortality Index CHART.webp

In table format, here is how the individual states are doing

21-01-01 E2 - Red vs Blue - Mortality TABLE.webp

And to give an overview of how the “Red States” and “Blue States” are doing here is that data reduces to a chart.

21-01-01 E3 - Red vs Blue - Mortality CHART.webp
 
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BLOCK 6 – THE “TOP 20”s

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Of the 20 countries with the highest number of TOTAL cases, the US, with around 10.17% of the total population of the group, has around 30.67% of the total cases for the group. This is roughly 3.02 times its proportional share.

21-01-01 F1 - Worldometer TOP TOTAL Cases TABLE.webp

Of the 20 countries with the highest number of currently ACTIVE cases, the US, with around 10.98% of the total population of the group, has around 51.06% of the total cases for the group. This is roughly 4.65 times its proportional share.

21-01-01 F2 - Worldometer TOP Active Cases TABLE.webp

Extracted from Worldometer, here is the list of the 20 countries with the highest number of COVID-19 “Deaths per Million” of the countries on this list, the US has 42.05% of the total population and 58.85% of the total deaths. The total number of deaths for the 13 countries that have a higher "Deaths per Million" count than the US does is 286,227 and the total number of deaths for the US is 354,381.

21-01-01 F3 - Worldometer TOP Deaths per Million TABLE.webp

That table shows that those people who are panic mongering and claiming that the US has the world’s highest COVID-19 death rate either simply don’t know what they are talking about or are deliberately attempting to spread false information.

As you can plainly see, <SARC> from that table, all of the countries with higher “Deaths per Million” counts than the US has have that so-called “Universal Healthcare Insurance” programs and that is definitive proof that those so-called “Universal Healthcare Insurance” programs are ineffective and result in the deaths of millions because of their reliance on Death Panels to ration healthcare (unlike the US where you get all the healthcare that you can pay for out of your own pocket) </SARC>.
 
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BLOCK 7 – US States DATA and CORRELATIONS

Mortality Measures

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The fact that the total number of US deaths continues to rise isn’t going to surprise anyone other than Dr. Mashmont who jusknowz that the ABSOLUTE MAXIMUM number of COVID-19 deaths peaked out at 10,300 and that there hasn’t been a single COVID-19 death in the US since April 4, 2020.

21-01-01 G1 - Total US Deaths.webp

In the past 24 hours, the US (with approximately 4.26% of the world’s population) has had approximately 19.37% of the world’s COVID-19 deaths. That is a disparity of 4.55 :: 1 which would work out to a “Percentage Grade” of 21.98% (which is an “F”).

A more easily grasped illustration of what the "Daily Death Rate" is doing in the US is

21-01-01 G2 - The Fading of the Green TABLE.webp

Comparing “chance of death” (a combination of “chance of infection” and “mortality rate) to “ability to pay” (PPP GDP per capita) and “previous support for healthcare system” (per capita spending on health care), the data is indicative that the US could have done considerably better than it actually did.

21-01-01 G3b - Death by ABILITY to Pay SHORT TABLE.webp
 
Wishing everyone a Happy and HEALTHY New Year.


(except for Mr. C.O. Vid who can just bugger off and die).
 
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