Correlation between Covid mortality and stringent lockdown measures
(media.greatawakening.win)
Comments (17)
sorted by:
I’ve been watching the obits in my area for a straight 2 months.. I’ve never seen so many young people pass away EVER. I’ve known 4 of them from high school. Jab, stress, depression, anxiety, I don’t know. But it’s not normal to see multiple people per week aged 21-50 simply pass away so suddenly. All of these deaths were not seen coming, they all say unexpectedly. It’s scary and sad…
The paper says:
The reality is that not only is there no negative correlation, there actually seems to be a positive correlation between lockdowns and covid mortality.
However, what I would love to see is the correlation between lockdowns and all-cause mortality, because the number of people who died due to being unable to access medical services would have far exceeded our imaginations.
My old man didnt have the access to his routine cancer treatment. He passed in october 2020.
Im so thankful he was close to Jesus.
Prayers for your father my friend.
So sorry to hear this.
Many people had tremendous losses. Im glad he is in peace now. Thank you.
But i like to point out he didnt die of covid. For some reason aside from his battle i feel it is heroic. But im kinda biased.
He got to meet his new granddaughter before he passed. I think it was all that kept him going.
The OP is dead on and so is this observation.
Ha ha - just noticed you are OP.
So you hit a double.
Oh, and I would like to add that people who died of other things but were treated recklessly for Covid even if they didn’t have it. People who went into the hospital with pneumonia that were treated for pneumonia, etc. Happen to someone I love very much. I bet you anything they were listed as a Covid death. He went into the hospital for pneumonia, he had had it before, they assumed he had Covid even though we all knew it was pneumonia and they ventilated him and killed him.
Yeah, I keep hearing from everyone (including myself) that they know at least one family member who died due to hospital protocols, whereas I do not know a single person who actually died of covid. The real data is yet to be released and its going to make people's blood boil.
A positive correlation: The more lockdown measures, the higher the death rates, on average. Yes there are outliers, but governments should be looking at the average, not the outliers.
Kind of reminds me of a test I tried using two sets of random numbers with a correlation between those two random number sets. It doesn't take many tries to make two random sets appear to be correlated in some way. That's where the r-squared comes into play; in these two cases, the r-squared is so low as to indicate virtually no correlation with any level of confidence.
In this particular dataset, I dont think there is a strong correlation - negative or positive. However I am willing to bet things will look very different if you look at all cause mortality.
Honestly this does represent all cause mortality... Considering how shit the tests are.
If you shut everything down and fuck everything up, people will die in higher numbers.
The link in the context box seems to be broken (partial), so here's the full link:
https://sites.krieger.jhu.edu/iae/files/2022/01/A-Literature-Review-and-Meta-Analysis-of-the-Effects-of-Lockdowns-on-COVID-19-Mortality.pdf
On catbox:
https://files.catbox.moe/razzl2.pdf
Thanks buddy, the context seems to have a limit on the length of the URL, so I put the catbox link
This has to be one of the weakest correlations I've ever seen. An R squared of less than 0.1 is fucking pathetic. Whoever put a trend line on this data needs a slap. It demonstrates that lockdowm measures have had absolutely no effect on mortality in either direction. Would have had better correlation with a fucking rain dance. The data almost looks gaussian, might as well plot it against IQ. How the fuck do they even measure stringency on a numeric scale? Must have been completely subjective.
They should have shown the base level mortality rate for Europe and U.S. as a horizontal line. That would have given some perspective on signal vs. noise. (My back of envelope calculation for 1.5 months gives about 1283 per million for the U.S. What we are looking at may be noise.)