Note: I am delighted that I am still living. In March they told me that because of my 5/8 risk-groups that it was a 50% chance that I would see the end of the year. Now I am relieved...
The data I use is from official government sources. In my reports, I track data tendencies of Covid-19, not only geographically but search for disproportions based on environment, race and nutrition. That way we can find a way to reduce the risk of dying of CoVid-19. Prevention before cure!
Contents:
Next report underway SARS-Cov-2 / Covid-19 Report for October - Excess Death Morbidity
The best Covid-Data video I have seen this year till September is by Ivor Cummins. For six-months I have produced data in a "deaths-per-million-citizens" way when governments, press and TV have refused to do, Cummins too! https://www.youtube.com/watch?v=8UvFhIFzaac (37 minutes) ... Now that the deaths have gone, I feel relieved (being amoungst the top risk groups) and do not need to do reports anymore my self. This is the last report in the series. Thanks for reading. RRG
Image 40.1 Overview of Selected States & Countries by Deaths-per-Million September 2020-09-30
Image 40.2 Current status of Covid-19 by deaths-per-million by region (sorted by change in death rate)
No one is curious about San Marino anymore, many countries reaching 1000 deaths-per million = 1 death-per-thousand citizens. In the following tables, red indicates above world median and green below median (by recovery, reversed)
Image 40.3 Table of hottest spots in September
Worst changes in the death rate during September (column EK)
Image 40.4 Good news! Best changes in recovery rates (column EM)
Does anybody know why the UK, Spain, Netherlands and Sweden do not report recovery numbers for #COVID19. Do they not know or care who has survived?
Image 40.5 Graph of Covid Deaths per Million in G20 Nations
Why do some countries still battle with covid? I think it is a matter of bad immune-systems. From what?
Image 40.6 Covid Cases and Deaths in German Bundesländer compared with Technology Indices
Image 40.7 a&b Compare Light-Pollution Map with Covid-19 World Map
This does not mean light causes covid but that, where there is light pollution and other electrosmog, immune systems are weakened. Cancer and heart-attacks are just as more common in these areas! ... and there are many densely populated countries without much electro-smog that are without a corona-crisis. Think?
Screenshots, mainly from Ivor Cummins's Report https://www.youtube.com/watch?v=8UvFhIFzaac
Graphs from Our World Data
Many countries fooled by WHO and media Agenda: to promote vaccinations that have side effects?
Covid and Race
Latinos are not a minority in South America and the deaths (per million) there are worse than the USA as shown below. Fact is obvious that italo/franco/hispanic/latino DNA has a bigger issue with this virus, in Europe too, see cases of the crescent Italy-Spain-France-Belgium including San Marino and Andorra! Philippines, 14% Hispanic blood, is worst off in South-East Asia.
Then also, blacks in the USA & UK are not getting the sunlight (vitamin D) they get in ancestral Africa and not the nutrition either, rather junk-food, weakened immune-systems.
Native Americans north and south have had an issue with viruses since the day Columbus arrived! Asians in USA are eating Western junk-food in America and not the healthier eastern food.
Media reports that USA has the most covid "cases" but considering population size, USA is #11 in deaths-per-million of all countries. UK, worse, is #10
Most interesting links in September for discussion:
Doctor successfully cures 1,700 COVID-19 patients https://www.youtube.com/watch?v=PE3QfTnIazU OAN (5 min)
Summary of the Covid-Hoax https://www.bitchute.com/video/03792l0NkpUq/ by Dr. Andrew Kaufman
90% of tests should be negative https://brandnewtube.com/watch/iih3H8yXWBQVfbD.html by AON
Meanwhile in Ireland https://youtu.be/NMglFuLGINU by Dave Cullen
GDP Growth 2020 (est. Q3) https://www.youtube.com/watch?v=w7CI-pbkFpc Wawamustats
Covid-19 Aerosol? https://www.aerzteblatt.de/nachrichten/114701/ (German text, old)
Simple protection against any virus https://www.youtube.com/watch?v=ZNSsEF2mki4 (Not on TV, never!)
Mass actions started against covid panic-makers https://www.youtube.com/watch?v=u-1BuZBJgIE (German)
Questioning the reliability of PCR tests https://www.biotechniques.com/covid-19/false-negatives/
Meanwhile in India https://www.india.com/news/india/india-has-highest-covid-19-recoveries-around-globe (Text)
Meanwhile in Russia https://youtu.be/LXwR-2Bo2_c by WION (2 min)
Meanwhile at the High-Wire https://thehighwire.com/watch/ by Dell Bigtree
Up-to-date Data Sources:
https://en.wikipedia.org/wiki/COVID-19_pandemic_by_country_and_territory (world)
https://covid19.who.int/table (world)
https://covid19-country-overviews.ecdc.europa.eu/ (European Union)
https://www.euromomo.eu/graphs-and-maps (excess-deaths European Union)
https://experience.arcgis.com/experience/478220a4c454480e823b17327b2bf1d4/page/page_1/ (Germany)
https://coronavirus.jhu.edu/map.html (USA)
https://covid19data.co.za/provinces/ (South Africa)
If you would like to check my main spreadsheet of data, share it, check it or use it: https://docs.google.com/spreadsheets/d/1KMaI1UXUc5V-5ZClbf7gTpRGz_c3HqBoJlUG_Ixu4hw
or in PDF form: https://drive.google.com/file/d/1-J8puJpYsw1oYI9pKyBKAmsrIvChjZG2
The next report is at https://www.rangutan.eu/sars-cov-2-month-2020-09/
Previous reports:
Month August Where are the deaths now?
Month July Mathematical proof that lock-downs are ineffective
Month June CoVid Update and Covid vs Country Life Expectancy
Week 24 Covid vs Country Average Age
Week 23 Tables, graphs and intermediate conclusions
Week 22 Why I do this! Updated tables & graphs
Week 21 Covid again by world regions, special graphs for the Americas and Africa
Week 20 Covid vs Chilli, obesity, rural vs urban
Week 19 Population Density, IT-reach, I.Q., 5G
Week 18 Recovery percentages
Week 17 Graphs per 1000 citizens
Week 16 Cases and deaths now per thousand, yearly flu visits.
Week 15 5G question
Week 14 Case update by IT-reach, average I.Q., pollution-indicies and by median age of a country.
Week 13 First recovery data, cases by world regions.
Week 12 Cases by north-south of latitude 27°N, questioning case and death numbers.
Week 11 Cases by IT-reach, average I.Q., pollution-indicies and by median age of a country.
Week 10 China 80% of cases, Cases worldwide by tourist-volume
Some humor: