I think it's just a weird plot. There is a note below it that says it's not all deaths. It probably takes weeks to issue and then process the death certificates or something. JHU probably uses faster estimates.
Of course its a contradiction. One of them is standard data acquisition and the other is a report. So how can we figure out which one is wrong?
“To properly assess the mortality risk associated with the coronavirus pandemic, it is necessary to examine deaths and death rates from all causes, not just deaths and death rates from COVID-19.”
They are asking this question because it is clear the Covid-19 numbers may be highly inflated from other causes of death.
“During January-May 2020, the CDC and Department of Health and Human Services show about 120,000 total deaths in California, which is similar to the number during January-May 2018.”
They are comparing this current flu season against the last big pandemic that hit the US in 2017-2018 Flu season that killed 80,000 vaccinated Americans. The numbers look the same.
“Thus, the 2020 total death rates in California can be approximated by the 2018 total death rates, which are in the CDC’s WONDER database. I focus here on those under 65 years of age because they include students and most working-age people, and because COVID-19 deaths comprise only 3% of the total deaths in this age range during 2020.”
The other way to catch the game is to realize that in Sweden 90% of all deaths were above the age of 70. Why that important is that demographic is very likely to die of many other causes. SO the fact that covid, covid related, etc is the required flavor it is easy to check for and we will all see that number
The only difference is that the first plot is in absolute numbers, while the second plot is in percentage of all deaths. I still don't see how a 25% April spike could become a 300% spike.
Go to the source data above and look at the tables The previous post I pointed to people being dishonest and we will catch them long term by comparing all deaths and showing that it did not go up more than 2018. That means the way they counted your 300% increase is not honest.
The FLU/Covid chart from the CDC I sent you comes from a weekly number that automatically updates in the system and have a longer historical trending that you can get to in the CDC's WONDER database. The one you provided is not based on that and I have no idea what its source is other than a vague mention.
Someone is being dishonest. Do you remember when they said Covid 19 was 10x deadlier than the FLU?
This is how they came to that calculation.
Actual Covid cases to death vs Estimated Flu cases to Death Ratio
Took all the current cases ACTUAL tested positive and divided it by the number of dead. Then took all the estimated Flu cases and divided it by the number of dead.
Of course they knew that was a stupid way to do it and was discredited within a month but it is still referenced today. Every actuary in the world recognised that by the monday after the WHO and Imperial college published this garbage.
I love Sweden, they have some really incredible culture (IKEA!, Swedish Meatballs, and Tons of good Music bands / metal bands) but they're rotting from the inside.
They just have a rape problem and a "reporting on crime is racist so don't do it" problem.
It’s over here too. https://www.cdc.gov/nchs/nvss/vsrr/covid_weekly/index.htm
Very strange plot. My source uses John Hopkins data: http://91-divoc.com/pages/covid-visualization/
The US is holding steady at 3 deaths per day per million, according to them.
So, somebody's lying. My guess is that the CDC f'ed up, as usual.
Right or wrong, policy will be guided by career feds at CDC not grad students at JHU.
I think it's just a weird plot. There is a note below it that says it's not all deaths. It probably takes weeks to issue and then process the death certificates or something. JHU probably uses faster estimates.
Here is a Swedish source
https://experience.arcgis.com/experience/09f821667ce64bf7be6f9f87457ed9aa
Uhhhhh
Reminder: There never even was a pandemic. In any sense of the word. There was only the normal seasonal flu/cold treated like a pandemic.
I wanted to find deaths/week going back years (without 'cause' assigned, because that's fudgible)
But this is the best I could find (includes influenza/pneumonia/COVID only (no cold, etc.)) : https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/07172020/nchs-mortality-report.html
Would love to see your sources.
Below are the direct link to the CDC site for deaths with flu and covid on the same graph in the United State
https://i.imgur.com/CuJUATw.jpg
https://www.cdc.gov/nchs/nvss/vsrr/covid_weekly/index.htm
https://www.cdc.gov/nchs/nvss/vsrr/covid_weekly/index.htm
seems to directly contradict
https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/07172020/nchs-mortality-report.html
Of course its a contradiction. One of them is standard data acquisition and the other is a report. So how can we figure out which one is wrong?
“To properly assess the mortality risk associated with the coronavirus pandemic, it is necessary to examine deaths and death rates from all causes, not just deaths and death rates from COVID-19.”
They are asking this question because it is clear the Covid-19 numbers may be highly inflated from other causes of death.
“During January-May 2020, the CDC and Department of Health and Human Services show about 120,000 total deaths in California, which is similar to the number during January-May 2018.”
They are comparing this current flu season against the last big pandemic that hit the US in 2017-2018 Flu season that killed 80,000 vaccinated Americans. The numbers look the same.
“Thus, the 2020 total death rates in California can be approximated by the 2018 total death rates, which are in the CDC’s WONDER database. I focus here on those under 65 years of age because they include students and most working-age people, and because COVID-19 deaths comprise only 3% of the total deaths in this age range during 2020.”
The other way to catch the game is to realize that in Sweden 90% of all deaths were above the age of 70. Why that important is that demographic is very likely to die of many other causes. SO the fact that covid, covid related, etc is the required flavor it is easy to check for and we will all see that number
https://news.yahoo.com/california-reopen-coronavirus-stats-science-230000221.html
Science
I still don't see how a 25% April spike could become a 300% spike:
The LEFT plot in https://i.imgur.com/CuJUATw.jpg is covid + pneu + flu and shows what looks like a 25% spike in April (if you add all ages).
While this second plot is supposed to show the same covid + pneu + flu, but we see a 300% spike in April:
https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/07172020/nchs-mortality-report.html
The only difference is that the first plot is in absolute numbers, while the second plot is in percentage of all deaths. I still don't see how a 25% April spike could become a 300% spike.
Go to the source data above and look at the tables The previous post I pointed to people being dishonest and we will catch them long term by comparing all deaths and showing that it did not go up more than 2018. That means the way they counted your 300% increase is not honest.
The FLU/Covid chart from the CDC I sent you comes from a weekly number that automatically updates in the system and have a longer historical trending that you can get to in the CDC's WONDER database. The one you provided is not based on that and I have no idea what its source is other than a vague mention.
Someone is being dishonest. Do you remember when they said Covid 19 was 10x deadlier than the FLU?
This is how they came to that calculation.
Actual Covid cases to death vs Estimated Flu cases to Death Ratio
Took all the current cases ACTUAL tested positive and divided it by the number of dead. Then took all the estimated Flu cases and divided it by the number of dead.
Of course they knew that was a stupid way to do it and was discredited within a month but it is still referenced today. Every actuary in the world recognised that by the monday after the WHO and Imperial college published this garbage.
Interesting.... so COVID added relatively little.
I wish I could find a comparison by year for the US. Most years, deaths increase around Feb. EU: https://www.euromomo.eu/graphs-and-maps
Amazing right? One day it will all go away. It will be gone or almost not here in 2 more weeks and the dems know this!!
S A U C E ??? pls
at the top of the image
http://91-divoc.com/pages/covid-visualization/
So, just like every other flu?
Color me shocked.
Thank you, Kristi Noem, for being the lone American leader to use 2+ brain cells and protection of freedom as your guiding principals.
Sweden protected free people better than American electeds ... just think about that for a second.
And most importantly: no second wave
If this is true, why do people recover then? The insult (5G or whatever) continues. They should stay sick.
Also, people see a lot of clusters of sickness, like if one spouse gets sick, another will get sick soon after, etc.
Please don't use Sweden, their numbers are corrupted.
Their whole government is corrupt.
You could argue that their genetics, immune systems, etc. aren't representative.
But their COVID death rate agrees with excess deaths: https://www.euromomo.eu/graphs-and-maps
Cut ‘em some slack; their women are heroic drinkers.
I love Sweden, they have some really incredible culture (IKEA!, Swedish Meatballs, and Tons of good Music bands / metal bands) but they're rotting from the inside.
They just have a rape problem and a "reporting on crime is racist so don't do it" problem.
Gee, caterpillar .. got any source for that claim?
Deaths per capita is high: https://coronavirus.jhu.edu/data/mortality
They're treating covid with MORPHINE, restricting oxygen use (ties to case fatality percentage in the above data): https://www.youtube.com/watch?v=Kz5BhX5_CXo&list=TLPQMjIwODIwMjAUeZLKDhaUGw&index=1
Sweden is generally corrupt, if you look back they hide and squash crime data, calling it and those who post it "Racist".