I would imagine that GIGO applies here. Who says we can trust the data from the CDC? It would not be to their benefit (cui bono?) to provide accurate information if it would reflect poorly on them, or the US government at large. Every attempt to demonstrate the vaccines may have caused excess deaths always requires “estimating overcounted COVID deaths” or some other data massage since the CDC didn’t do that work themselves. Therefore, all analysis can be dismissed because of “excess manipulation” or other “inaccuracies”. That VAERS reporting of death and adverse side effects coincident with vaccination isn’t enough to trigger an investigation is all the data I need.
I've noticed this duality: a spike is a sudden change in a data trend. But a spike is also a protein. Is the spike protein the protein that causes sudden changes in data trends?
Given that murderers like damned puns, I ask the world: is the spike protein even a real thing, or is it just a figment of our imagination?
If I desired to cause a mass homicide event by causing people to stomp on each other to death, I wouldn't really need a real chemical weapon to create panic. My weapon of choice would be the gullibility and ignorance of the multitudes of people, along with mass bribery and blackmail.
More over, it would be bad for me to device a new incriminating synthetic chemical of any kind.
Profs Martin Neil and Norman Fenton just looked at WHO Global Influenza monitoring data on their Substack last week. BLUF it did not disappear. The really interesting bit is where it shows up. For example, Flu in the Dominican Republic but not in Haiti. Similarly, most of the countries surrounding India but not in India. Something is not right and the question is: what?
I had the flu in March of 2020 and again in December 2021 (the first time I had flu two times in a year). The people at the covid test center made me take several tests each time (making me drive around the city in a fever haze). In March, they could not believe that I did not have covid. In December, they were more accepting. As of 2023, I have still not had a positive covid test.
I would imagine that GIGO applies here. Who says we can trust the data from the CDC? It would not be to their benefit (cui bono?) to provide accurate information if it would reflect poorly on them, or the US government at large. Every attempt to demonstrate the vaccines may have caused excess deaths always requires “estimating overcounted COVID deaths” or some other data massage since the CDC didn’t do that work themselves. Therefore, all analysis can be dismissed because of “excess manipulation” or other “inaccuracies”. That VAERS reporting of death and adverse side effects coincident with vaccination isn’t enough to trigger an investigation is all the data I need.
Off-topic, but touching:
I've noticed this duality: a spike is a sudden change in a data trend. But a spike is also a protein. Is the spike protein the protein that causes sudden changes in data trends?
Given that murderers like damned puns, I ask the world: is the spike protein even a real thing, or is it just a figment of our imagination?
If I desired to cause a mass homicide event by causing people to stomp on each other to death, I wouldn't really need a real chemical weapon to create panic. My weapon of choice would be the gullibility and ignorance of the multitudes of people, along with mass bribery and blackmail.
More over, it would be bad for me to device a new incriminating synthetic chemical of any kind.
Not that this reasoning is evidence.
#1 Fascinating to see the statistical analysis proper! 🤩
#2 Hersteria <-- duly noted and hastily adopted into active vocabulary 😊
Understood!
Mine is a minor criticism of excesses in your essay and a major complaint about my limited education.
The atypical excess deaths out of season in the summers is the thing I can't unsee.
I haven't had time to read your article yet, but two friends suggested I'd contact you.
I have lots of US data. Contact me@pervaers.com
https://vigilance.pervaers.com/p/usa-preview-select-cause-excess-mortality
Here is one for select cause.
I also have a website displaying monthly data based on death certificates.
https://cdcwonder.pervaers.com
Thanks, I'll take a look when I get a chance.
You can just hit me up via email and let me know what kind of data you are looking for exactly and I'll see what I can do.
Are you missing a graph where this line is?:
"All right, let’s look at the same plot, this time subtracting attributed doom deaths:
<
Recall the..."
Yes, thanks. Somehow it got cut here. No idea why. Restored.
I lost my way.
Like Dante before Virgil showed up.
My bad, probably.
Analysis seems "excessive."
Alas, This is the way all "excess" deaths calculations run. The difference here is that I show you the steps so you can reproduce.
Profs Martin Neil and Norman Fenton just looked at WHO Global Influenza monitoring data on their Substack last week. BLUF it did not disappear. The really interesting bit is where it shows up. For example, Flu in the Dominican Republic but not in Haiti. Similarly, most of the countries surrounding India but not in India. Something is not right and the question is: what?
I had the flu in March of 2020 and again in December 2021 (the first time I had flu two times in a year). The people at the covid test center made me take several tests each time (making me drive around the city in a fever haze). In March, they could not believe that I did not have covid. In December, they were more accepting. As of 2023, I have still not had a positive covid test.
https://open.substack.com/pub/wherearethenumbers/p/playing-hide-and-seek-with-the-flu?r=z3b3q&utm_medium=ios&utm_campaign=post