Once again, you hit the ball out of the park. A big thank you to John Dee as well. A pleasure to read these findings. They are reassuring to all of us who have declined the experimental biologicals. Heartbreaking for those who for whatever reason, consented.🥲
Who would have thought taking part in an experiment by injecting a novel drug into one's body, could have the potential of a negative outcome?
Answer: Anyone with a functioning brain.
To seek to eliminate extremely low known risk (serious adverse health outcome from Covid), by undertaking entirely unknown risk (could be inconsequential, could be catastrophic) is sheer lunacy.
Thanks so much for including the nice charts that help those of us who cannot follow the calculations or draw the relationships from the tables, see trends with out own eyes too!
The amazing John Dee - kettle on! Wonder if he will swap his kettle as Boris advises 😆 me thinks not.
His analysis and methods to interpret data was such a revelation to me in the beginning of this mess. It really helped me and brought me to you and Steve. Thank you all for your hard work!
I know from my own experience that the guy working with the figures understands the charts much better than anyone. I have difficult getting my head around exactly what you mean when you say p=0.0.
I *think* I know what you mean, but this is a question that should be asked. A full explanation is likely to be valuable.
Are the deaths with/ of covid definitively determined? Are they just based on the PCR test in hospital together with a medical diagnosis? The data coming from various sources must be rather muddied if it is just the test. The MRNA jab outcomes are separate issue from covid death data? Presumably any analysis can only really 'rely' on the official inaccurate figures. Not meant to be critical here.
"Given that the sacred cow doesn’t feed me, I have no constraints in investigating any possible relationship between the mRNA and excess deaths so here goes".... Perhaps at this point, the sacred cow will finally knock on your door offering to feed you?
If the jabs have a systematic impact on the body (clots, heart damage) or immune system you would expect that to impact both covid and none covid deaths.. given only 8% of covid deaths had no other comorbidities.. ie the jabs negative impact would be an effect similar to any other comorbidities...
So the analysis should run for all cause morbidity first then split.. the R2 between vac and death should be higher in non covid deaths simply because there are less co morbidities that the “covid deaths” that also being confounded by the high rate of false positives..and the low fatality of covid itself.. by focusing only on below 60s some of that is removed because there are fewer comorbidities to influence results.. age being a very significant comorbidities.
No one is taking part in the experiment anymore? I wish! My hubby wants to take the new bivalent jab (he is 3x jabbed, now), despite having had some flavor of omicron in June. (I'm unjabbed and Delta-recovered.) I'm trying to talk him out of it, but he believes the main stream media, so we shall see if I can convince him to take a pass on this...
When figuring out how many people may have been kept alive by the vaxxes, it will be necessary to take into account the many people who died of COVID in spite of being vaxxed. I believe the vast majority of vaxxed people would not have died of COVID had they not been vaxxed. They helped create the appearance that the vaxxes are effective, when in fact they benefitted a relatively few people.
Once again, you hit the ball out of the park. A big thank you to John Dee as well. A pleasure to read these findings. They are reassuring to all of us who have declined the experimental biologicals. Heartbreaking for those who for whatever reason, consented.🥲
Let's not ever forget, the Covid deaths would have been almost entirely avoided by banned, and suppressed early treatment protocols.
That is, all these excess deaths are the result of formal bureaucratic, and governmental interventions.
Error in subheading. "of 18 to 565 year". ITS KILLING VAMPIRES TOO?!
Who would have thought taking part in an experiment by injecting a novel drug into one's body, could have the potential of a negative outcome?
Answer: Anyone with a functioning brain.
To seek to eliminate extremely low known risk (serious adverse health outcome from Covid), by undertaking entirely unknown risk (could be inconsequential, could be catastrophic) is sheer lunacy.
There is no escaping this fact.
When it kills cockroaches (& Cher) I’ll be surprised....
Wow incredible work.
When this is over, imma write a paper on the psychology of substack authors based on the fonts and page colors they use…
😁
🫂♥️🫂
Amazing man, thank you.
Even if saying it a million times, it’s never less sincere
Thanks so much for including the nice charts that help those of us who cannot follow the calculations or draw the relationships from the tables, see trends with out own eyes too!
The amazing John Dee - kettle on! Wonder if he will swap his kettle as Boris advises 😆 me thinks not.
His analysis and methods to interpret data was such a revelation to me in the beginning of this mess. It really helped me and brought me to you and Steve. Thank you all for your hard work!
I know from my own experience that the guy working with the figures understands the charts much better than anyone. I have difficult getting my head around exactly what you mean when you say p=0.0.
I *think* I know what you mean, but this is a question that should be asked. A full explanation is likely to be valuable.
And Thanks.
Are the deaths with/ of covid definitively determined? Are they just based on the PCR test in hospital together with a medical diagnosis? The data coming from various sources must be rather muddied if it is just the test. The MRNA jab outcomes are separate issue from covid death data? Presumably any analysis can only really 'rely' on the official inaccurate figures. Not meant to be critical here.
I just talked to Joel. He was going to get the booster, but I talked him out of it. Whew! Dodged that bullet. :)
"Given that the sacred cow doesn’t feed me, I have no constraints in investigating any possible relationship between the mRNA and excess deaths so here goes".... Perhaps at this point, the sacred cow will finally knock on your door offering to feed you?
If the jabs have a systematic impact on the body (clots, heart damage) or immune system you would expect that to impact both covid and none covid deaths.. given only 8% of covid deaths had no other comorbidities.. ie the jabs negative impact would be an effect similar to any other comorbidities...
So the analysis should run for all cause morbidity first then split.. the R2 between vac and death should be higher in non covid deaths simply because there are less co morbidities that the “covid deaths” that also being confounded by the high rate of false positives..and the low fatality of covid itself.. by focusing only on below 60s some of that is removed because there are fewer comorbidities to influence results.. age being a very significant comorbidities.
No one is taking part in the experiment anymore? I wish! My hubby wants to take the new bivalent jab (he is 3x jabbed, now), despite having had some flavor of omicron in June. (I'm unjabbed and Delta-recovered.) I'm trying to talk him out of it, but he believes the main stream media, so we shall see if I can convince him to take a pass on this...
When figuring out how many people may have been kept alive by the vaxxes, it will be necessary to take into account the many people who died of COVID in spite of being vaxxed. I believe the vast majority of vaxxed people would not have died of COVID had they not been vaxxed. They helped create the appearance that the vaxxes are effective, when in fact they benefitted a relatively few people.
Hi Joel!
Why'd you compare 'covid' deaths over time to vaers reports, not to jabs administered?
Seems like administered jabs is the more direct, less confounded, less-proxy input of interest.
...
Pulling jan-august 2021 data from https://ourworldindata.org/us-states-vaccinations
Yields a far more striking match to deaths curve.
Uploaded as .png here: https://0x0.st/of8m.png
Source data as .csv here: https://0x0.st/of8a.csv
Would your analysis with these data show even more significant results?