(Image: cdc.gov)Posted on 11/28/2020 8:25:19 PM PST by SeekAndFind
(Image: cdc.gov)
Conventional wisdom is that COVID-19 has caused thousands of deaths in the United States and nearly 1.5 million worldwide. This perception has been directly challenged by a study published by Johns Hopkins University on November 22.
Genevieve Briand, assistant program director of the Applied Economics master’s degree program at Johns Hopkins University, critically analyzed the impact that COVID-19 had on U.S. deaths. According to Briand, the impact of COVID-19 on deaths in the United States can be fully understood by comparing it to the number of total deaths in the country.
According to the study, “in contrast to most people’s assumptions, the number of deaths by COVID-19 is not alarming. In fact, it has relatively no effect on deaths in the United States.”
Wait, what? Really?
That’s what it says. And, it should come as no surprise that the study was deleted within days.
Luckily, a back-up copy remains on The Wayback Machine, and we can still read the study.
So, how exactly did the study conclude that COVID-19 has had “relatively no effect on deaths”? Here’s how the study made this determination:
After retrieving data on the CDC website, Briand compiled a graph representing percentages of total deaths per age category from early February to early September, which includes the period from before COVID-19 was detected in the U.S. to after infection rates soared.
Surprisingly, the deaths of older people stayed the same before and after COVID-19. Since COVID-19 mainly affects the elderly, experts expected an increase in the percentage of deaths in older age groups. However, this increase is not seen from the CDC data. In fact, the percentages of deaths among all age groups remain relatively the same.
(Excerpt) Read more at pjmedia.com ...
I did an analysis of the distribution by age of the top causes of death (2015 data was the latest complete year I found but that should compare well with current year data) and then integrated the COVID-19 data (partial 2020, of course). The changes in the age-distribution among the top 9 or 10 causes of death was less than 1%. In fact, the largest change was 1/4th of a percent, or 1/400th of the non-COVID-19 fraction. Here's my table of data for anybody that cares:
In short, COVID-19 kills the same people everything else does. We just have more deaths and a shorter life expectancy. Also, to be noted, that 50,000-70,000 range mentioned in the article is misleading. 50,000-60,000 is the normal range and that 70,000 is an outlier
It’s also misleading to claim that other causes of death have dropped without distinguishing between a true decrease - as in fewer people - and a percentage decrease - as in a smaller percentage of a bigger pie that still represents the same number of people. If 10 people died of cancer out of 100 deaths, say, that’s 10%. If 20 people died of COVID and 10 people still died of cancer out of 120 deaths, that’s only 8%. Same number of people died of cancer, but it was a smaller percentage due to the excess deaths (20 more deaths).
“We just have more deaths and a shorter life expectancy”
It does appear to affect people with conditions already listed in your chart post. I do know of 4 seniors in their late 70s who survive a Covid-19 infection because they did not have those heath conditions.
The fittest survive, the people who have weight issues, cancer, heart, Alzheimers, and Diabetes are the ones Covid kills. We all develop one of those conditions, so Covid will shorten our lifespan once we get infected.
Instead of living with cancer for 6 years, we live with it for 1 to 3 years if it does not get you in the first six months.
Instead of being Insulin-dependent for life long, you die after catching Covid a couple of times.
It is like this virus is designed to kill the weak. Summary the Human life expectancy will be shorten resulting in lower health care costs and social security payout.
I don’t think your percentages properly adjust for covid/non-covide deaths. The percentages should be (largely) comparable to previous years for non-covid deaths and should be a percentage of the whole portion of deaths (including covid deaths - whatever that really means) throughout the year regardless of cause so as to not be weighted higher than they should be. There is also some confounding of the non-covid death data due to less travel, less other exposures, etc, so the numbers will change (in some cases noticeably).
Also, we know that there are a lot of deaths that have been mis-classified as covid being the primary cause when it wasn’t. The data is almost hopelessly confounded because of that simple fact, so the excess deaths number might be people with undelying causes that really would’ve died within 6 months to a year and it was hastened along by covid or the flu (which is hardly being reported at all), or some other item, but we are getting nowhere with inaccurate PCR tests that are run at 35 or 40 cycles amplifying everything so much that you can see covid infection in just about anything (supposedly including chicken wings and papayas).
There’s a lot more to the analysis that just simple percentages of a whole here.
What I am saying is that you have oversimplified the issue just as so many other people have; including a lot of really smart people (or at least apparently smart people). You’re in some good company, but I still believe your table and analysis is severely flawed.
Finally, this is a critique, it is not meant personally.
I apologize if I have offended you with the tone of my reply, not my intent at all.
Over 250,000 people die per day on earth... To date, this virus has added about 5 extra days of death... It’s peanuts in comparison to malaria which kills roughly one million people per year, every year.
The good news, or bad if you prefer. Over 360,000 new births occur every day. So it only takes less than a week to make up the losses from this virus.
The overall kill rate is roughly 0.02%... Vs. the Spanish flu which killed 3% of the earths population and actually reduced the earths population during 1918/19. This virus will have absolutely no effect on the earths overall population growth.
Bttt
“Over 250,000 people die per day on earth.”
‘Curious how cremations affect LOCAL climate?
For even more context, approximately 8000 ppl die in America every day.
But what does Tony Wuhan Wormhead Fauxi say?
If you had gone out in a non-Covid-19 year and triggered lesser people on the road, lesser elective surgical procedures, lesser ‘customers’ in hospitals with infections from poor sanitation, and lesser social contact (bars shut down), then the death trend line would be much lower.
But you take such a year and then add Covid-19 into the mix....the trend line goes back to normal death counts.
Just as predicted. Hopkins was in on this global reset plan before covid was created. Suddenly, Biden wins and COVID doesn’t kill?
Please tell us?
“Their paper should have stated “In fact, it has relatively no effect on THE AGE DISTRIBUTION OF deaths in the United States.” This is an interesting finding. But that modified statement is quite different than saying there is “no effect on deaths in the US.” “
THANK YOU for correcting this Seek and Find drivel. That JH article is talking about the age distribution of deaths. Old people are more likely to die of most diseases. That’s why they (we) all eventually die.
Yanni Gu = An honest person.
Very refreshing.
Well, as my hero Colonel Nathan Jessup explained...and I paraphrase...”They can’t handle the truth!”.
Maryland’s moronic governor Lockdown Larry Hogan relies almost solely on the scientists at Johns Hopkins for all of his lockdown edicts.
(And since they are “non-governmental” he says their meetings are private and not subject to FOIA requests for meeting minutes)
I’ll bet he ignores this science from Johns Hopkins. Since California is in lockdown, I expect Maryland will be too.
They just float 'em down the Ganges.
It’s easy to trick
A Fool,
Impossible to convince
Him of the Truth.
Exposed the truth, now to get them to admit it is a BIOWEAPON used as a Population cull.
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