You asked Morris if he knew countries where Pfizer had at least 30% higher ASMR than Moderna.
But I don't even know any country except the Czech Republic which has all-cause ASMR data available by vaccine brand.
But earlier you posted this tweet about the Connecticut Medicare data: "This is in Connecticut only. Other states had completely the opposite numbers and it was statistically significant there as well." [https://x.com/stkirsch/status/1840121580405366903] So if you have Medicare data available for other US states, was there some state where Pfizer had at least 30% higher ASMR than Moderna?
i only had record level data for CT unfortunately.
but there are many other comparisons cited in my substack paper and these were from different sources and ALL of them had significantly higher values for moderna.
so the same confounders must be operating worldwide.
See the new section of the article right above the summary.
If you can explain why there are always big data signals in the SAME direction, you'll be a hero because nobody can figure it out!
In the Connecticut Medicare data when I calculated a normalized mortality rate from the day of the first dose up to July 2024, so that I calculated the baseline number of deaths by multiplying the number of person-days for each combination of age and ongoing month with the mortality rate in the general US population for the same combination of age and month, Pfizer got about 1.25 times higher total mortality than Moderna: sars2.net/connecticut.html#Moderna_Pfizer_ratio_by_month_of_vaccination_and_ongoing_month.
When I combined data for adverse event reports from Eudravigilance with data for vaccine doses administered from OWID, the ratio of reports per doses administered was about 1.6 times higher for Pfizer than Moderna in Italy: sars2.net/czech4.html#Adverse_event_reports_by_country_at_EudraVigilance.
I've added a new section on big data at the end of the article.
Great work on the CT data.
For dose 3, the MRR shifts from 1.44 to .6 in just 30 days. Explain how THAT happens.
confounders causing large differences don't suddenly shift like that in a month or 2 months. If you think they do, explain to me what happened.
It is much more likely that these differences are due to vaccine batch variability than anything else.
If you think it is due to preferential brand distribution, show me the evidence for that. All the health authorities said the brands were equal.
It is nearly impossible to have accidentally, by chance, to have created a 30% ASMR difference in the Czech data. The Z score is over 20 for populations sample sizes of 100,000 or more.
So walk us through your explanation that fits the Czech and CT data.
According to research, solar storms could potentially lead to an increase in heart-related deaths, with some studies suggesting a figure of up to 5,500 additional cardiovascular deaths per year during periods of high solar activity, primarily due to the disruption of Earth's magnetic field which can impact the body's natural rhythms and potentially affect heart function; however, more research is needed to fully understand this correlation.
Key points about this claim:
Mechanism:
Solar storms create geomagnetic disturbances that can disrupt the Earth's magnetic field, potentially impacting the body's circadian rhythm and autonomic nervous system, which can influence heart rate and blood pressure.
Study findings:
A Harvard University study linked days with increased solar storm activity to a higher number of heart disease deaths.
Important consideration:
While the research suggests a potential link, the exact impact of solar storms on heart health is still being studied and individual risk factors should be considered.
Since May of this year there seem to have been successively record-breaking solar flares, in May, August and October. To play the devil's advocate, could increased solar activity in the last few years of have been one of the confounding factors that caused excess cardiac mortality? Of course Professor Morris did not cite that as a cause, but if he had done a little more research perhaps he could have attempted it, unless it's too specific and therefore more easily refuted.
In order to be a confounder, exposure to solar activity would have to correlate with vaccine brand. It would be something like... Pfizer was given to people who live miles underground and are protected from solar activity, while Moderna was given to above-ground dwellers. So yes, mortality is associated with Moderna, but it's because of the sun, not the brand.
No need to create an Eloi and Morlock scenario. There could be these confounders in different vaccines, which might react differently to solar activity.
Adjuvants in COVID-19 vaccines: innocent bystanders or culpable abettors for stirring up COVID-heart syndrome
Types of vaccine adjuvants used in COVID-19 vaccines
The adjuvants used in COVID-19 vaccines can be categorized into five classes namely Aluminum salt-based, Emulsion-based, TLR agonists, Metabolic, Cell death, and Epigenetic.15,22 Each of these adjuvants instigate different mechanisms that are ultimately responsible for onset of spectrum of cardiovascular diseases seen in COVID-19 patients and those receiving vaccination (Figure 1). This review provides a brief overview of different mechanisms that can be arising out of these adjuvants, and each might be contributing at least partially to instigate cardiomyocyte damage.
You asked Morris if he knew countries where Pfizer had at least 30% higher ASMR than Moderna.
But I don't even know any country except the Czech Republic which has all-cause ASMR data available by vaccine brand.
But earlier you posted this tweet about the Connecticut Medicare data: "This is in Connecticut only. Other states had completely the opposite numbers and it was statistically significant there as well." [https://x.com/stkirsch/status/1840121580405366903] So if you have Medicare data available for other US states, was there some state where Pfizer had at least 30% higher ASMR than Moderna?
i only had record level data for CT unfortunately.
but there are many other comparisons cited in my substack paper and these were from different sources and ALL of them had significantly higher values for moderna.
so the same confounders must be operating worldwide.
See the new section of the article right above the summary.
If you can explain why there are always big data signals in the SAME direction, you'll be a hero because nobody can figure it out!
In the Connecticut Medicare data when I calculated a normalized mortality rate from the day of the first dose up to July 2024, so that I calculated the baseline number of deaths by multiplying the number of person-days for each combination of age and ongoing month with the mortality rate in the general US population for the same combination of age and month, Pfizer got about 1.25 times higher total mortality than Moderna: sars2.net/connecticut.html#Moderna_Pfizer_ratio_by_month_of_vaccination_and_ongoing_month.
When I combined data for adverse event reports from Eudravigilance with data for vaccine doses administered from OWID, the ratio of reports per doses administered was about 1.6 times higher for Pfizer than Moderna in Italy: sars2.net/czech4.html#Adverse_event_reports_by_country_at_EudraVigilance.
When I calculated a ratio of deaths per reports in an old snapshot of VAERS data where the country codes of European countries had not been removed, out of countries with a large enough sample size, the ratio was much higher for Pfizer than Moderna in Austria, Belgium, Germany, Spain, and Sweden: sars2.net/czech4.html#Ratio_of_deaths_per_adverse_event_reports_in_VAERS_calculated_by_Hans_Joachim_Kremer.
I've added a new section on big data at the end of the article.
Great work on the CT data.
For dose 3, the MRR shifts from 1.44 to .6 in just 30 days. Explain how THAT happens.
confounders causing large differences don't suddenly shift like that in a month or 2 months. If you think they do, explain to me what happened.
It is much more likely that these differences are due to vaccine batch variability than anything else.
If you think it is due to preferential brand distribution, show me the evidence for that. All the health authorities said the brands were equal.
It is nearly impossible to have accidentally, by chance, to have created a 30% ASMR difference in the Czech data. The Z score is over 20 for populations sample sizes of 100,000 or more.
So walk us through your explanation that fits the Czech and CT data.
Google AI Overview:
According to research, solar storms could potentially lead to an increase in heart-related deaths, with some studies suggesting a figure of up to 5,500 additional cardiovascular deaths per year during periods of high solar activity, primarily due to the disruption of Earth's magnetic field which can impact the body's natural rhythms and potentially affect heart function; however, more research is needed to fully understand this correlation.
Key points about this claim:
Mechanism:
Solar storms create geomagnetic disturbances that can disrupt the Earth's magnetic field, potentially impacting the body's circadian rhythm and autonomic nervous system, which can influence heart rate and blood pressure.
Study findings:
A Harvard University study linked days with increased solar storm activity to a higher number of heart disease deaths.
Important consideration:
While the research suggests a potential link, the exact impact of solar storms on heart health is still being studied and individual risk factors should be considered.
https://www.newscientist.com/article/2324402-solar-storms-may-cause-up-to-5500-heart-related-deaths-in-a-given-year/
--------------------------------------------------------------------------------------
Since May of this year there seem to have been successively record-breaking solar flares, in May, August and October. To play the devil's advocate, could increased solar activity in the last few years of have been one of the confounding factors that caused excess cardiac mortality? Of course Professor Morris did not cite that as a cause, but if he had done a little more research perhaps he could have attempted it, unless it's too specific and therefore more easily refuted.
https://www.space.com/extreme-solar-storm-affects-auroras-power-grids-october-2024#xenforo-comments-68394
https://www.livescience.com/space/the-sun/monster-x-class-flare-launches-massive-solar-storm-towards-earth-and-could-trigger-auroras-this-weekend
https://science.nasa.gov/science-research/heliophysics/how-nasa-tracked-the-most-intense-solar-storm-in-decades/
In order to be a confounder, exposure to solar activity would have to correlate with vaccine brand. It would be something like... Pfizer was given to people who live miles underground and are protected from solar activity, while Moderna was given to above-ground dwellers. So yes, mortality is associated with Moderna, but it's because of the sun, not the brand.
No need to create an Eloi and Morlock scenario. There could be these confounders in different vaccines, which might react differently to solar activity.
Adjuvants in COVID-19 vaccines: innocent bystanders or culpable abettors for stirring up COVID-heart syndrome
https://pmc.ncbi.nlm.nih.gov/articles/PMC10846003/
Types of vaccine adjuvants used in COVID-19 vaccines
The adjuvants used in COVID-19 vaccines can be categorized into five classes namely Aluminum salt-based, Emulsion-based, TLR agonists, Metabolic, Cell death, and Epigenetic.15,22 Each of these adjuvants instigate different mechanisms that are ultimately responsible for onset of spectrum of cardiovascular diseases seen in COVID-19 patients and those receiving vaccination (Figure 1). This review provides a brief overview of different mechanisms that can be arising out of these adjuvants, and each might be contributing at least partially to instigate cardiomyocyte damage.
Directionality is profoundly important in analysis. Degree of departure is important, yes, but directionality is profound.