Blog Archive

Thursday, May 7, 2020

Poverty and Covid-19

     How Covid-19 Will Magnify the Poverty Problem, as It Should   

American families must now brace for the steepest collapse of GDP since 1958, says Barron’s magazine quoting Goldman Sachs and J P Morgan banks. A quarter of GDP will soon be missing, a drop from $21.4 trillion to $16 trillion is projected. Personal and household incomes will collapse also. This is will be a year to remember. 

Americans are not financially prepared for this. In September 2017 the Consumer Financial Protection Bureau published a Financial Well-Being report  and asked adults "How much money do you have in savings today (in cash,checking, and savings account balances)?” This is called "Liquid savings." (see page 81)
less than $250  — 24%
less than $1,000 — 35%
less than $5,000 — 54%
less than $20,000 —  74%  American adults answered. 
Meaning the majority are not prepared for an extended loss of income. 

The Prosperity Now web page, Scorecard, found that -- Nationwide 25.4% of credit card holders have reached the 75% of credit limit on their cards; 
Those who have saved for emergencies — 57.8% have saved —  42.2% have not saved 
Consumers with Debt in Collections — 21.2%

Another poll asked about missing a paycheck, every two weeks, would it be a difficulty? The American Payroll Association reports 74% said yes; 40% said a major difficulty, and 34% said a slight difficulty. A Harris poll found that respondents say they always (23%) or usually (17%) or sometimes (38%) live paycheck to paycheck, for a total of 78%. 

Many household budgets cannot fall back on savings to get through a "shelter in place" order. Without savings and without an income, many Americans are between a rock and a stone wall. A site says that 9% of Americans pay more than 50% of income on housing. A Harvard University study shows that 30% of Americans pay over 30% of their income on housing. Another Harvard University study found that 1 in 4 renters pay more than 50% of their income in rent. Workers in “non-essential” jobs no longer have incomes, they are directly affected by the work stoppage, and many rent their living quarters. 

The Brookings Institute report “Meet the Low-Wage Workforce” examines the incomes of roughly half of U.S. workers, the low-earning half. It shows that $19,000 a year is the average income for 67% of workers who earn below the median wage income for all workers, $32,838. The other 33% are very low earning workers earning below $7,500 a year. If we take the total income in the economy, about $18.8 trillion, and divide that among the 168 million workers, we arrive at an average of $112,000 per worker. 

We have staggering inequality. The U.S. is peculiarly bi-polar in the department of income and wealth. It may surprise many to know, and it surprised this writer, that the average wealth per household is $924,000. On March 12, 2020, the Federal Reserve reported in its Flow of Funds report, page 2, that total household net worth peaked at $118.3 trillion. Divided among the nation’s 128 million households that comes to $924K per household. Unfortunately 40% of households own just 0.1% of all wealth, states the Credit Suisse report on Global Wealth. Average wealth per adult in that group is about $2,000. 

The average yearly household income, not wealth, before taxes is over $140,000, states the Bureau of Economic Analysis, Table 2.1. But half of households have incomes below $64,000, and many of them much below $64,000. The per person annual “disposable personal income” after taxes is now $50,504 says the same BEA table. Does it surprise anyone to learn that $24,405 is the median income per person for all four person households? The average is $50,504, but half have less than $24,405 per person, and often much less than $24,405. Those in official poverty live with below $6,500 per person. See the U.S. Census hinc-01 table. The numbers are difficult to digest, but the incongruity is not. 

It’s a sad truth, that many Americans are unaware of the great disparities among U.S. households. The household medians, for both wealth and income, are far below the averages which are raised by the very high amounts at the tippy-tippy-top, the 1 percent.

The United Way charity reports in its ALICE report that 40% of Americans live with hardship or experience poverty. In a land where $50,000 of after-tax income per person is a fact, and over $400,000 of savings per adult is a fact, we have 40% who struggle to pay for necessities. It is a strain on the imagination. An income of $61,589 for a four person household, in 2020, is the ALICE Survival Budget income. This is 2.4 times the poverty official level. Meaning that the poverty level is much lower than the stressed out level. 

Will low income workers be able to pay for necessities over the next few months is an extremely critical and unanswered question. The nation is watching. We have the resources, the nation is very wealthy, but can and will we protect and support those who have no “spare tire”. 

Saturday, April 11, 2020

Covid-19, A Long, Long Article, with a long list of "daily new cases" and "daily new deaths"

April 16, 2020
The Annual Death Count May Increase by 5%, or 140 Thousand   

This article is almost unreadable now, May 7, as I stretch it out. 
Now, June 2, I add some more. Here are two summarizing statements to date: 

1)  During April the daily "average new cases" increase was about 29,000 each day, and in May it was about 21,000, and it is dropping steadily. In March total cases expanded by 7,000%, in April by 400%, in May by 77%. Get the picture? -- In March it went from 30 cases to 213,000 cases (a 7,000 times increase), in April it jumped to over 1 million (a 5 times increase), in May it added about 776,000 new cases (a 77% increase). The rate of expansion is about equal to the rate of danger. The goal is to get expansion to zero. If it stays at zero for about 2 or 3 weeks, the virus is extinct, inactive, no one to pass it on. I have this data at my blog, Economics without Greed, Part Two, but it is tiresome to do the math, but you could match it all doing your own calculations.

2)  Corona Virus update -- 20% more deaths nationally than normal - that is the conclusion of a NY Times article. In all of the U.S. from March 15 to May 2, a seven week period, there were 76,400 above-the-average extra deaths attributed to Covid-19  -- that's the conclusion of the NYTimes article. I did the math, it's a 20% increase in deaths over a 7 week period. Published today, June 1, this article reports  excess deaths this year, between March 15 and April 2. -- -- It links to another article that reports a total of 76,400 extra deaths exceeding the average during the same 7 week period for years 2017, 2018, and 2019. You can do the math and check my results, the normal death count in US in 2018 was 2.782 million (US Center for Vital Statistics). The biggest question is why did the spread of Covid-19 slow down? Was it social distancing mandates, or was it because all viruses poop out after a short rash of infection?  On March 15 there were 2,234 cases nationwide, and seven weeks later, May 2, there were 1,092,815 cases. Wildfire, it was spreading like a forest fire in Montana racing up a ravine on a hot September afternoon. Let's imagine another study: let us imagine there were no social-distancing regulations, and Covid-19 spread AT The SAME RATE for another 7 weeks, and by June 14 all citizens would be infected. What then would be the number of extra deaths?  That would be a scorcher. I wonder about all the conjectures related to "was social distancing necessary?" There is a strong case that it wasn't needed. But then you look at New York City, where they experienced 7 times the normal deaths during that 7 week period -- 26,000 excess deaths this linked-to article states. Normally they expected 3,700 deaths, they had 26,000 (that's a 2 month period, the article states). And then there is the story of a church choir holding practice for 2.5 hours, and of the 61 attending, 52 had symptomatic cases of Covid-19, far higher than is reported in other mass surveys. It is a mysterious disease, and playing safe with it may have saved 100,000s of additional deaths. All the numbers befuddle us, for sure. Each one is a dead human in this case.        


The highlight is that the Covid-19 is unpredictable, and very infectious, transmission is rapid if all restraints are removed. Note how rapid  it increased in March, even though the "shelter-in-place" order happened on March 19.

On March 1 there were 30 cases, on April 1 there were 213,144 in the U.S.
January 22                1 case.                    in a week cases increase by 8 times
Feb. 1  —                8 cases                      in February cases increase by 4 times to 30. 
March 1 —            30 cases                       in March cases increase by  7,105 times more than March 1
April 1 —     213,144 cases                       in April cases increase by 5 times
May 1 —   1,050,000 cases                        in May it looks like cases will increase from 1 million to 1.8 million, 80%. 
June 1 -- prediction: 1.8 million U.S. cases  --

I have a long list below recording the daily new infection count, total cases count, the fatality count, and the Case Fatality Rate (CFR), a percentage. I keep adding almost daily. At worst infection transmission would have infected all 329 million Americans by August 1, causing possibly 1 million deaths, my worst prediction. The Imperial College worst projection posited 2.2 million, that without any mitigations. It won't happen, but how do you explain total cases expanding by 7,105 times in just one month, March, from 30 to 213,144 cases? How do you explain that Japan has 5 deaths per 1 million, the U.S. 232/mn, and Belgium 726/mn? (See Worldometer, Corona Virus, May 7) The CDC recently published a graph showing Covid-19 deaths were 24.8% of all deaths in the week April 4 to 11.
At that rate for a year there would be over 700,000 U.S. deaths from Covid-19. You can see the following 2 weeks, ending April 25 Covid deaths as a percentage of all deaths had dropped to 14.6%, probably a consequence of social distancing.

U.S. Mortality: Death Certificates Listing Pneumonia, Influenza, and COVID-19 (Static Image)
Two interviews with experts are very informative:
The Ralph Nader Radio Hour talked with Dr. Michael Osterholm, "a professor and director of the Center for Infectious Disease Research and Policy at the University of Minnesota. He is the author of the 2017 book, “Deadliest Enemy: Our War Against Killer Germs”."

Perhaps the world winner in containing Covid-19 is the Indian state of Kerala. An article at The Guardian explains how in May they kept deaths to 4 and total cases to 524 in a population of 38 million; an equal population to California with 3,000 deaths and about 75,000 cases, or the U.K. with 34,000 deaths and 236,000 cases on May 15. A radio interview with Vijay Prashad explains in more detail the cultural response in Kerala that crushed the epidemic (see April 23 interview). 

Another good interview, it goes at the top: Pitchfork Economics has an interview with the man who in 2014 served the Obama administration as the Ebola Response Coordinator, Ronald Klain. The central idea is "this pain was not inevitable, the damage could have been much lower". Klain saw the Covid-19 pandemic coming, and in 2016 he wrote an article "Confronting the Pandemic Threat" in Democracy Journal. A 37 minute discussion. From the 2016 article: “The next President must act from Day One to prepare for that threat: If she or he waits until grim-faced aides file into the Oval Office to explain that a pandemic is unfolding, it will be far too late to save countless people around the world, protect our interests abroad, and preserve lives here at home.”

From April 1 to April 24 the number of "new cases" seems to be a steady 29,000 added cases per day. Check the long list below at this blog. We are waiting for that "new cases" number to decrease before easing the shelter-in-place order.

How bad will it get? Predicting -----      
The New York Times has a web page devoted to the Covid-19 disease. Many relevant comparisons are there, especially "confirmed cases per 100,000". Also it carries multiple stories elsewhere. 

It's very difficult to predict how bad. In Japan they have had 3 deaths per 1,000,000 says the Worldometer records. The U.S. has had 218/million, and in Belgium they have had 692/million, and in the Influenza Epidemic of 1918 in the U.S. there were 6500 deaths/million (675,000 out of a population of 104 million  --   6,500 times 104 equals 676,000). Luck, social response, government actions, old age, crowded conditions, weather all factor in.

In April it looks like Covid-19 cases will comprise 20% of all deaths, says USA Facts. If that death rate continues, then 567,000 deaths will occur (but not all in one year). 567,000 divided by 2,839,000 normal deaths equals 20% more deaths.

The CDC shows the daily new cases, and since January the total cases and the death count. I show the same below in a long list. The prison testing report could easily reflect the national trend. In the prisons surprisingly they found only 4% are symptomatic cases, and 96% asymptomatic. If that proves to be the national ratio, then of the 330 million U.S. population only 4% (13.2 million) will have "confirmed" cases. Of that 13.2 million only 20% (2.64 million) will have serious cases, and of the 2.64 million only 5.8% will die, then out of 330 million 153,120 will die. This is 5% more deaths than normally expected.

Or let's look at this possibility: perhaps 96% will always be asymptomatic and 4% will have symptoms. On May 6 we have 1.2 million confirmed cases (the 4%), and 70,000 deaths (the 5.8%). That implies we have another 28.8 million asymptomatic infections (96% are asymptomatic) and 4% are symptomatic, or 1.2 million "confirmed cases". Together there are 30 million infected, which is only 9% of total U.S. population. With just 9% infected and 70,000 deaths already, then when all 330 million citizens are infected there will be 11 times 70,000 deaths, 770,000 total deaths. This is 27% more deaths than normally expected. --- 153,120 or 770,000?  (15 times 5 = 75)

Will we have 5% or 27% more deaths than expected? What is it? This is why we need the antibody tests to assess the percentage infected. Will 96% be infected and asymptomatic nationwide? For me prediction is a shot in the dark.

In 2018 2,839,205 deaths from all causes occurred, and an added 770,000 is about a 27% increase. We have 55,258 deaths as of April 29, so we are doing better than expected. It looks like the prediction of 153,000 deaths is closed to the present trend. 

An explanation that U.S. annual deaths will increase by 25% in 2020 Prison officials in 4 states administered 4,693 tests, and 70% turned out positive (3,277 cases), but surprisingly 96% of the positive responses were asymptomatic, and only 4% (or 188) were  symptomatic cases. Logically all 100% inmates will eventually be infected over time. Nationally, if only 4% of the U.S. population is infected with symptoms, 13.2 million, and the Case Fatality Rate continues to be 5.6%, then approximately 739,000 deaths will result from Covid-19, but it may take 18 months or more. This would increase the yearly death count by 25%, from 2.8 million to 3.5 million. If only 70% of the population is infected the ultimate death count will be 535,000. The prisons involved were in Ohio, Arkansas, North Carolina, and Virginia says this article at Axios. Knowledge of this asymptomatic result lowers the ultimate death count considerably, but it is still very high. I suspected the death count could approach 3.3 million, 1% of the nation. One very professional prediction from the Imperial College projected 2.2 million. This would equal the mortality rate of the 1918 influenza epidemic. If it happened once, it could happen twice. The 2.2 million figure was a projection of no-mitigation, let the wildfire burn everything. Also, Axios reports that Covid-19 will produce around 46,000 deaths in April, which will be the third leading cause in April for all deaths behind heart disease and cancer, each of which produce around 50,000 deaths monthly. On April 24 and 25 each day created 2,010 deaths, while the average for heart disease is 1,774 and for cancer is 1,641 says this Newsweek article.  Reuters News carries a matching and longer article about the prison results. Today is April 26. 
A testing inventory of all locations, a national survey, is an important tool still needed to understand how deadly this virus is. 

On April 29 the WHO reports a global CFR of 6.8%, that is about 200,000 deaths following about 3 million confirmed cases. The U.S. has a 5.6% CFR, but it may rise. 
Worldometer reports for Sweden 224 deaths/million, and for U.S. 183/million, for Spain 519/million, for April 29. If the US had Sweden's death rate, instead of 60,000 dead there would be 80,000. German, Canada, Austria, Denmark, Poland, Japan, South Korea, Australia, New Zealand, China and Russia have done much better than Sweden. In the U.S. in 1919 the deaths/million was 6,750, much higher, 30 times higher, than the Covid-19, so far. We have had it for 3 months, in 1919 it ran for 18 months. Face masks were mandatory in 1919.  
John Hopkins University has an excellent data center.
Business Insider carried on April 14 an article on death rates and mortality rates.
This New York Times article explains the intricacies, April 14. I am amazed the author put it all together. It is a complicated issue, and this author uncovers how intricate it is.
The Virology Blog has the best article about the Infection Fatality Rate, and a promising antibody test, April 5.
Nicholas Kristof at NYTimes shows his talents in this March 20 article, portraying the best and worst outcomes.
The NPR (National Public Radio) posted this article on models predicting mortality rates. The most severe model predicts 1,811,000 deaths. In 2018 the total number of deaths from all causes was 2.8 million. Transmission and mortality rates are not clearly known, and that determines everything, the portion of the population infected is unknown, and the deadliness of the disease is unknown. As I have said below, perhaps 1% of the population will die, 3,270,000 deaths. No one knows.

USA Facts publishes a map showing the case numbers in each USA county. Rockland County New York, has a count of 3,097 per 100,000, which is also 3.1% of the county, 1 in 33 residents, as of April 24. If all counties had that portion infected, then the death toll for the U.S. at 5.6% would be about 550,000 deaths. Another USA Facts article shows Covid-19 deaths as third leading cause of death in April, with about 46,000 projected deaths, below the about 50,000 for both heart disease and cancer.
The USA Fact maps and charts seem to be the best current scorekeeper.
The CFR is the death rate of confirmed cases.
The IFR is the death rate of all cases including asymptomatic cases, a very big unknown.
The "mortality rate" is the death count divided by the national population, usually expressed as deaths per 100,000.

I'm mostly concerned about how bad it will get in the U.S. How bad will be determined by the rate of infection spread and the rate of death in the entire population, the mortality rate. In the past 33 days  the infection count has increased by a factor of 100. This is explosive growth. In 33 days infections have increased from 7,023 cases to over 700,000 cases; that is a 100 times more in 33 days. The CDC reports daily on new cases. Why is infection growth slowing? It should be obvious.

The explosive growth would continue without the social distancing rules. The case fatality rate (CFR) shows how many with confirmed diagnosis died. The CFR will be higher than the infection fatality rate (IFR) because the IFR includes mild, moderate or asymptomatic cases not recorded or confirmed -- the big or small unknown. And the mortality rate will be lower than the IFR -- some people will not be infected, probably but not for certain. The European nations are doing much worse,  2, 3 and 4 times worse with the mortality rate per 100,000 of population in Belgium, Netherlands, France, the U.K., Italy and Spain. You can look at the WHO daily Situation Reports or the John Hopkins tables and graphs. John Hopkins publishes its own daily Situation Report, very informative with news from world over. I guess that more people go to the doctor without waiting in these European countries, but widespread accurate diagnosis and early treatment only raises the mortality rate. Some U.S. deaths  may be wrongly attributed to pneumonia due to lack of testing. These European countries have the best health care systems in the world. Not until testing and antibody testing is available -- reliable, quick and widely distributed -- will the IFR be meaningful.

On March 19 California governor Gavin Newsom declared a shelter-in-place order. There were nationally 15,219 cases reported. But two days previous there were 7,023 cases, reports the CDC daily updated report. Since March 17, one month and 2 days later, April 19, John Hopkins reports 722,761 cases, an increase of 103 times. But a month prior, between February 22 and March 22 the case count expanded by a factor of 2,227, dazzlingly explosive, from 15 cases to 33,404. The 15 on February 15 was in reality more like 150 or more. Even with social distancing and sheltering measures (called mitigations), the case load exploded after March 19. On April 1 the rate of new cases stabilized to an average of about 29,000 per day.

Looking to May 19, a month into the future, 36.5 million cases could be waiting for treatment, hard to believe. Between March 19 to April 19 the case load exploded from 15,219 to 746,625, an explosion of 49 times in one month.    I will do the simple math: 15K times 49 equals 745K, and 746,625 accurately. Then multiply 746,625 by 49, which equals 36 million, one in 9 Americans. By June 19 the entire nation is easily infected. Let's say 20% are serious, severe or critical, and 5% die, then we have 1% of the nation deceased, 3.3 million just three months from now, July 19. The accuracy of the March 19 figure is pretty good, and that is when California governor Gavin Newsom declared a shelter-in-place rule. So mitigation measures, social distancing, were in place during the 49 times month. The expansion rate February to March was 2,227 times, but the data is not believable. Since the virus did actually expand 50 times in one month, why not the next month? Such a future would overwhelm the health system. Social distancing is necessary to avoid catastrophic death counts.

And presently our CFR is 5.0%. That does not mean 5% of the nation will die, 16 million. It may mean 45 million (13.8%) will develop a serious case, and of that number 5% will die, 2.2 million.  The WHO data base states that France's CFR death rate is 17.0%, the worse statistical rate I have seen. The John Hopkins rate for France, same date, is 12.5%. The U.S. CFR rate was 3.8% on April 13, and now it is 5.2%, April 20. Data is not uniform, and rates change. The outcome is uncertain. 
Here is a listing from the CDC on case increases since April 17

The course of infection increase as reported by the CDC, Center of Disease Control and Prevention: 

Date     Daily Newly       Total               Case
             Infected              Infected          Fatalities        Fatality Rate

3/18       2,797                7,023
3/19       3,419               10,442 
3/20       4,777               15,219          Governor Newsom declares Shelter in Place
3/21       3,528               18,747
3/22       5,836               24,583
3/23       8,821               33,404
3/24     10,934               44,338
3/25     10,270               54,453
3/26     13,987               68,440
3/27     16,916               85,386
3/28     17,965              107,321 
3/29     19,332              122,653
3/30     18,251              140,904
3/31     22,635              163,539
4/1       22,562              186,101
4/2       27,043              213,144         Daily-New-Cases begins to level off or plateau
4/3       26,061              239,279         Cases count doubles in 5 days 
4/4       37,926              277,205
4/5       27,061              304,826
4/6       26,065              330,891          Easter Sunday  - President had predicted re-opening economy
4/7       43,438              374,329
4/8       20,682              395,926
4/9       32,449              427,460
4/10     31,705              459,165
4/11     33,251              492,416             Case                CFR              Cases Doubles from 4/2
4/12     33,288              525,704              Fatalities
4/13     29,145              554,849
4/14     24,156              579,005              22,252             3.8%
4/15     26,385              605,390              24,582             4.1%   
4/16     27,158              632,548              31,071             4.9%
4/17     29,164              661,712              33,049             5.0%

4/18     29,002              690,714              35,443             5.1%
4/19     29,916              720,630              37,220             5.2%
4/20     25,995              746,625              39,083             5.2%
4/21     29,468              776,093              41,758             5.4%
4/22     26,490              802,583             44,574             5.6%      -- death count doubles in 8 days
4/23     25,858              828,441              46,379             5.6%      3 months after case 1 on 1/22/20
4/24     37,144              865,585                                                   
4/24     30,181              895,766              50,439             5.6%
4/25     29,256              928,619              52,459             5.6%
4/26     33,872              957,875                                                     
4/27     18,755              962,491              55,258             5.6%            Cases Double from 4/11
4/28     23,459              981,246
4/29     23,901           1,005,147
4/30     26,512           1,031,659              60,057             5.8%

                     See this CDC page for an accurate new cases number.
5/1         guess -------1,030,000       1 month since leveling off
              2 months  -- from March 1st to May 1st, from 30 to 1 million cases ! 
              1 month  -- from April 1st to May 1st, from 186,101 to 1,062,446 cases !  
Cases increase by 5.7 times in one month with "social distancing" in force.  This virus 
spreads rapidly even with national distancing in force.     The death count is difficult
to ascertain because of 2 week lag in reporting from jurisdictions, and I cannot find 
the April 1 total Covid-19 death count . But it no doubt tripled in 3 weeks since April 10.
Following the increase in percentage of deaths from total cases is indicative. 

5/1       30,787           1,062,446               62,446            5.9%
5/2       30,369           1,092,815               64,283            5.9%     9 weeks after 3/1 with 30 cases
5/3       29,671           1,122,486               65,735            5.9%      Sunday     
              daily average of 27,712  new confirmed cases 4/26 to 5/3

          5/4       29,763           1,152,249                       
5/5       19,138           1,171,510               68,279            5.8%
5/6       22,303           1,193,813               70,802            5.9%     
5/7       25,253           1,219,066               73,297            6.0%                                      
5/8       28,974           1,248,040               75,477            6.0%                                                               
5/9       25,996           1,274,036               77,034            6.0%                   
5/10     26,660            1,300,696               78,771            6.1%    10 weeks after 3/1  Sunday 
              daily average of 25,489 new confirmed cases between 5/3 and 5/10

5/11     23,792            1,324,792             
5/12     18,106            1,342,594               80,820            6.0%
5/13     21,467            1,364,061               82,246            6.0%      
5/14     20,869            1,384,930               83,947            6.1%
5/15     27,191            1,412,121               85,990            6.1%
5/16     22,977            1,435,098               87,315            6.1%
5/17     31,967            1,467,065               88,709            6.0%     11 weeks after 3/1 Sunday
               daily average of 23,767 new confirmed cases between 5/10 and 5/17

5/18     13,284            1,480,349               89,407            6.0%   

5/24                            1,622,114               97,049            6.0%     12 weeks after 3/1 Sunday
                daily average of 22,150 new confirmed cases between 5/17 to 5/24   

5/31                            1,761,503              103,700            5.9%
                daily average of 19,913 new confirmed cases between 5/24 to 5/31
June 1 -- about a 78% of new cases over a 30 day period, since May 1.
Quite a slow down from March 1 to April 1, an increase from 30 to 303,000.

At this rate it will take to September 13, 2020 to reach ZERO no new cases.

6/7           daily average of
After an insomniac night doing numbers while trying to conciliate sleep I discovered the big deal. 
The big deal is the rate of increase from day to day, week to week, and month to month. 
Using the data from the CDC
To over-simplify:
Date                    Number of Cases        Rate of Increase
January 22              1 case.                  times 1
Feb. 1                 8 cases                          8 times more than January 22
March 1 —           30 cases                          4 times more than February 1
April 1 —    213,144 cases                   7,105 times more than March 1 --  or 710,400%
May 1 —   1,062,446 cases                            5 times more than April 1
                                                                        5 times is also 400% increase                                      
June 1 —   1,787,680 cases                         77% more than May 1 
From week to week cases increase as a multiple of the previous Sunday's total.
Beginning on  March 1, the base week with only 30 confirmed cases ———

0- March   1  Sunday             30  —          base                                            
1- March   8                         422 —        14.07    times the previous week
2- March 15                     3,471 ---          8.23    times the previous week
3- March 22                  33,404 ---          9.62    times the previous week  -- 29,933 more
4- March 29               104,904 ---          3.14    times the previous week  -- 71,500 more 
5- April   5                 330,891 —          3.15    times the previous week  --225,987 more
6- April 12, Easter       554,849 —          1.68    times the previous week  --223,958 more
7- April 19                  746,625 —          1.35    times the previous week --191,776 more
8- April 26                    962,491---           1.29     times the previous week --215,866 more
9   May   3   Sunday  1,122,486 --            1.17     times the previous week --159,995 more
10 May 10                 1,300,696 ---          1.16     times the previous week  --178,210 more   
11 May 17                 1,467,065 ---          1.13     times the previous week  --166,369 more
12 May 24                 1,622,114 ---          1.11     times the previous week  --155,152 more

13 May 31                1,761,503              - 1.77     times or 77% more than May 1
                                                                  1.09  times the previous week     --139,389 more 
  New cases are declining by about 15,300 per week since April 26.   
Perhaps by August 2 or 9 the new cases will be zero.

14 June 7

15 June 14

16 June  21

The New York Times has an excellent graph page showing new cases and total case history for all 50 states and some U.S. property such as Guam and Puerto Rico.

          Each week the percentage of new cases is lower.

By about May 15 we will stall, no more new cases.
March 31 to April 6, cases double, from 186,101 to 374,329. 
If cases double every week, in 11 weeks, by July 17, all 330 million Americans are infected,
assuming cases double every week. Is that "no big deal"? Out of every 100, 20 cases are serious, and 5% of the 20 die, that would be 1 death per 100 Americans die by June 17, total Covid-19 death count 3.3 million . This doubles the annual death count from all causes. Not possible?
Normal death count in 2018 was 2.8 million. This is not an emergency? 
The annual death count could double this year. My first paragraph above is less shocking. 

The rate of increase is slowing after social distancing is imposed. 
Between March 17 and April 1 —14 days — cases increase by a factor of 30 
(from 7,023 to 213,144).
Between April 1 and April 15 — 14 days — cases increase by a factor of 3. 

(from 231,144 to 632,548)
Between April 15 and April 29 -- 14 days -- cases increase by 55%, a factor of 1.55. 

From April 1 to April 19 daily increase of cases averages around 29,000 per day, plateauing.

There is a great back-lash against shutting down the economy, naturally. But let’s say every week the case load increases by a factor of 8 or 9, how many beds are there in the hospitals, how many respirators, and how many will die? My guess is between 1mn and 6.6 million unnecessary deaths would occur. Remember 2.8 million was the death count for normal 2018. It looks like 20% of cases, at a minimum, are serious, severe, or critical. It is really unknown how many will die. In Europe they have the best medical care systems in the world and their death rate, CFR, is the highest, over 10% in several countries, twice the US current rate. The US CFR is probably lower because people avoid seeing a doctor because fees and rates are outrageous and wages are horribly low for at least 40% if not 90% of workers. 
So instead of protesting low wages citizens protest the lockdown order. I have shown elsewhere on this blog that the combined total wages of the lower half of all workers is less than 8% of the national income. Why not protest that? Why not work for a universal single payer healthcare system or one that resembles the Netherlands, or Germany with strict price controls and insurance regulation? 


California declares “shelter in place” on March 19.
From March 17 to April 19, during 33 days, cases increase by a factor of 103, from 7,023 cases to 722,761 cases (the 722,761 figure comes from John Hopkins on April 19). 
Between March 17 and April 1 cases increase 30 fold.

From April 1 to May 1 case increases average around 29,000 per day, plateauing. 

Case increases began at 10,270 a day on 3/24 and doubled within 6 days. 
Case increases leveled out after April 1.
The daily increase rose to around 32,000 for eight days, 4/3 to 4/11. This is the spike in deaths week shown in the CDC graph above; 24.8% of all US deaths from Covid-19. 
Then it dropped down around 27,000 to 29,000.  

In Three Months, from One to 809,000
First case --      Jan. 22
15 cases   --      Feb. 22 increases 15 times from month earlier
33,404 cases -- March 22 increases 2,227 times from month earlier
809,000 (guessing) cases April 22 increases 24 times from month earlier

If new cases continue to increase at 30,000 a day, then by May 22 another 900,000 cases, total of 1.7 million which is 0.5% of U.S. population. With a Case Fatality Rate of 5.0% then 85,000 death count. 

If we wrongly lift social distancing tomorrow, then probably by end of June all 330 million Americans would be infected, and the CFR is still unknown. In 2018 2.8 million Americans died from all causes.

In the normal year of 2018 some 2.8 million Americans died from all causes, states the record of the National Vital Statistics System. A very influential report from the Imperial College, March 16, 2020, states, " In total, in an unmitigated epidemic, we would predict approximately 510,000 deaths in G.B. and 2.2 million in the U.S., not accounting for the potential negative effects of health systems being overwhelmed on mortality."   A death count of 2.2 million would be equal to the 1918 death count from the influenza outbreak, converting the U.S. population of 104 million with 675,000 deaths to a mortality rate of 0.675%, which is equal to 2.2 million in 2020. That would increase the annual deaths by 75%. On April 8 a revised number, 60,000 deaths, appeared from Dr. Fauci, chief spokesperson for the NIAID, National Institute for Allergies and Infectious Diseases, a division of the NIH, National Institute of Health. This would be 35 times less damaging than the 2.2 million "unmitigated" prediction. 

The alarm we face is its unpredictability both in the spread of infection and in the fatality rate. The Case Fatality Rate (CFR) was 4.1% on April 14, 2020, and that means that 605,390 cases have been reported, and 24,582 have resulted in death, a rate of 4.06%. (See the CDC report) But not all infections are reported, and some number are asymptomatic cases, so the 605,930 number of cases is low, but how low no one knows. And the total death number also may be somewhat low.   

The main point is “no one knows how bad it could be”. If health care resources are exhausted, if testing is not implemented, if hot spots are not suppressed, and so on. 

The CFR was 4.1% a week ago, now it is 5.1%. It may rise considerably if the medical system is overburdened. In France the CFR, death rate, has been reported over 14%, in Italy 12.7%, in Spain over 10%, but in Germany 1.8%. In Japan 0.8%, in New Zealand next to zero. (See the WHO Daily Situation reports.)

Another article deals with the question of sustained long-term social distancing. Though it was published in mid-March it is relevant. A quote: That’s why the Imperial College model suggests that after an initial period of strict social distancing, people could start to move about again — until the number of COVID-19 patients in hospital ICUs rises to a certain level, at which point the restrictions would kick back in. It might look like this: We spend April, May, June and July living a no-school, socially distanced existence, until critical cases fall dramatically. Then we get a few weeks’ reprieve before cases climb up to the trigger point and school is canceled again. The article posits a possible 2.2 million deaths in the U.S.

References, for those who want to read more: 

A report from Lancet Journal said that 13.8% “developed severe disease”. 

“According to the report from the WHO–China Joint Mission on COVID-19, 80% of the 55 924 patients with laboratory-confirmed COVID-19 in China to Feb 20, 2020, had mild-to-moderate disease, including both non-pneumonia and pneumonia cases, while 13·8% developed severe disease and 6·1% developed to a critical stage requiring intensive care.8” —- from The Lancet Journal, March 30, 2020. “Estimates of case fatality ratio from international cases stratified by age were consistent with those from China (parametric estimate 1·4% [0·4–3·5] in those aged <60 years [n=360] and 4·5% [1·8–11·1] in those aged ≥60 years [n=151]).”  

How many people were asymptomatic, or so mild they did not report being sick? Unknown. Is 96% asymptomatic reasonable, as prison studies show? 
The take-away fact: about 20% of confirmed cases developed "severe" or "critical" stages. A fatality rate of 1.4% for those below 60 years-old, and 4.5 for those 60 and above. Therefore, in the U.S. 3.7 million aged below 60 years, and about 2.7 million people over 60 would die, a total of 6.4 million Covid-19 deaths, added to the annual expected death count of 2.8 million, for a total of 9.6 million deaths in one year, about 3% of the U.S. population, one in thirty-three. I am assuming universal infection rate. Very dire. Other studies, other suppression mediations, makes forecasting akin to  betting on the horses. 

Cross-Country Comparison of Case Fatality Rates

'Terrifying' New Research Warns 2.2 Million Could Die From Coronavirus in US Without Drastic Action

A Cross-Country Comparison of National Health Systems from the Commonwealth Fund:

April 7, 2020

Comparing Countries during the Covid-19 Outbreak

Comparing total deaths among 13 selected countries on April 9, 2020, and lastly with the influenza epidemic of 1918 in the U.S. 

To understand how deadly the Covid-19 is one has to know how easily it is transmitted, and how many of the infected die. Once infected the treatment may bring down the death rate, but maybe not. 

Some countries prevented the transmission, and some countries had a low death rate among those who contracted the Covid-19. I took the low transmission winners, then took a look at their death rates, and arrived at a total mortality rate. The winner is New Zealand and next is Japan. But I only selected 13 countries to compare. 

With Covid-19 the name of the game is keeping total deaths as low as possible. Total deaths is a combination of the transmission rate of the disease (the portion of a nation that is infected) with the death rate of those infected. For instance, say out of 100 population 5% are infected, and 2 die. Then infection rate is 5%, the death rate is 40% and the mortality rate is 2%. I call the deaths among the infected the “death rate”. I call the death among the total population the “mortality rate”. The two rates are not the same. For reasons not clear in some countries death rate from the illness is higher, such as in France where it is 14.3%. But in Spain the final mortality rate is higher because a greater portion were infected. I used the data from the “Situation Report” from the WHO, April 9, 2020. (see here —
And to put it into another perspective I tried to compare my numbers with the 1918 Influenza outbreak in  the U.S.

So, to begin: Japan restrained the transmission of the disease in its population, 4 out of 100,000 were infected (data from the WHO situation report). But New Zealand has a lower death rate, therefore its mortality rate was lower, it is the winner, so far. 

Country — Infection Rate —- Death Rate —- Mortality Rate 

New Zealand 0.02% 0.1% 0.000002

Japan 0.004% 0.8% 0.000032%
Australia                 0.02% 0.8% 0.00016

Canada 0.05% 2.3% 0.00115%

Norway 0.11% 1.4% 0.0015%

Austria 0.14% 2.0% 0.0028%

Germany                0.14% 2.1% 0.0029%

Iran                       0.07% 6.2% 0.00434%

U.S.A. 0.13% 3.4% 0.0044%

United Kingdom   0.09% 12.2% 0.011%

France 0.13% 14.3% 0.0186%

Italy 0.24% 12.7% 0.0305%

Spain 0.32% 10.0% 0.0320%

Spain with a population of 47 million has had 15,238 deaths from Covid-19, that is a mortality rate of 0.032% or 3 out of every 10,000. In the U.S.A. in 1918 during the influenza outbreak the mortality rate was 65 for every 10,000. 

The 1918 episode in the U.S. was 20 times worse than what has happened recently in Spain. If we replicate, and we won't, the 1918 episode, the U.S. will have 2.2 million deaths. The CDC states, "In 2018, a total of 2,839,205 resident deaths were registered in the United States". A repeat of the 1918 flu would change the 2.8 million to 5.0 million deaths, an increase of 79% -- not quite doubling. Recent prognosis was between 100,000 to 200,000 Covid-19 deaths, but now the expert expectation is for 60,000 Covid-19 deaths. That's a 2.1% increase in projected number of U.S. deaths for 2020. If so, then 1918 would be 40 times worse than 2020. The economic price though may be greater.    
U.S.A in 1918 —- 
unknown unknown 0.65%

The influenza outbreak in 1918 to 1920 was brutal, there were 675,000 deaths in a total population of 104 million, and that equals a 0.65% mortality rate in entire population (65 in every 10,000). Spain with the worst track record so far has 3 deaths per 10,000. The CDC article, referenced below, states that a third of the world's population were infected. The same "mortality rate" of 0.65% today would result in 2,100,000 U.S. deaths, 35 times worse than the recent prediction of 60,000.   

For information about the U.S. 1918 influenza I took the data here:

The interviewee made these observations: 
“You know, it's not clear how many people died from ARDS [acute respiratory distress syndrome] in 1918 or bacterial pneumonia. Some say the vast, overwhelming majority of deaths in 1918 were due to bacterial pneumonia, but I don't share that view. There were very rapid deaths in a few days from symptom onset. That clearly wasn’t bacterial. . . .   

Influenza in 1918 to 1920 would burn through a community in 6 to 10 weeks, and then you forget about it. That's not going to be the case with this. Whether COVID-19 results in a flatter, more continuous line or undulates is not clear. . . . 

Metropolitan Life concluded that more than 3% of all industrial workers died because of the flu, and remember how compressed the time frame was—6 to 10 weeks to pass through any community. So when 3.25% of entire population in a working age-group die in a matter of a few weeks, that's a pretty good reason not to go to work.”

I have to credit Joe Bender for putting me onto this investigation. He made a sour comment about how countries with universal health care were doing worse than the U.S. Well, that is clearly nonsense, take a look at Canada, but it is a start for comparing what happened, and asking why. In the U.S. there was an 18 day period when the infected number jumped by 30 times, from 10,000 to 300,000. I wonder if it would keep jumping at that rate without social distancing, and if not, why not. By the end of May about 80% of the U.S. population would be infected, and the death rate could, plausibly, be at 2 million. Hmmm? I’m  still not convinced that herd immunity would lower than number. The big question now is what would happen if we reversed the “shelter-in-place” order, went back to business as normal, let herd immunity take its natural course. For people over 64 years-old that would not be a great adventure. The rest of society might do OK, but I think in the U.S. those over 64 make up 78% of deaths. We’ve got 49 million over 64. We might lose a million out of 49 million. Is it worth the sacrifice? Not to me, I might be one of them. Send me to a concentration camp, a detention camp in Hawaii maybe. 

Hope this made some sense. I want your response.  Thanks.  Ben.