Seven of the major eleven International Classification of Diseases codes tracked by the US National Center for Health Statistics exhibit stark increase trends beginning in the first week of April 2021 – featuring exceptional growth more robust than during even the Covid-19 pandemic time frame. This date of inception is no coincidence, in that it also happens to coincide with a key inflection point regarding a specific body-system intervention in most of the US population. These seven pronounced increases in mortality alarmingly persist even now.
Thank you for your efforts. We do a somewhat similar monitoring process in Israel. You might be interested in our findings. Also we can point each other to issues worth investigating.
Thank you for this work. You led with a disclaimer that you are doing it basically for your own gratification. By vocabulary, terminology, concept and depth it is beyond what even most of the Substack readership will want to grapple with. But it must be so. Others of us will attempt to make your insights accessible to the hoi polloi.
"I am a skeptic of power, and no eager subscriber to Hanlon’s Razor."
I follow the data. I prefer the incompetence hypothesis until the data forces me to abandon it for the malice hypothesis.
I have found that there were 230,000 more US working age deaths in 2021 than in 2019. The CDC compared 2021 with 2020, which is an error, because 2020 has covid as a major confounder, while 2019 was prepandemic and should be used for comparison. I am certain that the CDC is aware of this. Hence, I conclude that comparing 2021 with 2020 is for the purpose of covering up the massive mortality increase in 2021 relative to 2019.
The key to defeating the coverup, I believe, is to insist that the CDC's comparison of 2021 with 2020 is invalid.
When you generate a 'best fit' line for data as presented in the charts of Exhibit A(for example) please also provide your chi-square, or better yet your R^2 value to give us an idea of how well the trend line represents the aggregated data points and their frequency(weekly I guess). Some of those best fit will have a decent R^2 number, but several of them will have a very poor R^2. I ask this not as a skeptic but for those who would attack your data and summary conclusions as unfulfilled by lacking some measure of trust. Thank you.
Ethical Skeptic: This is the first article of your that I have read. Well done!
I live in MN and I have been studying death files in MN for 2 years. I don’t have your skills. But, I do have the perspective of studying the details provided in the death records. I have learned a lot from this.
Interestingly, I don’t see a lag in CDC coding in the MN data. I am guessing the CDC just isn’t releasing the data to their sites. But they are coding and reporting back to the states.
In MN, the 5 year death average (2015-2019) was 44,000/year.
Clearly, with cancer, the “dog is not barking” in relation to excess deaths during the first year of covid. On the flip side, it appears to be barking loudly for heart disease. More than one mechanism of toxicity? Spike protein toxicity for heart disease (would be correlated to waves of covid as well as waves of vaccination) and pseudouridine enriched mRNA leading to immune suppression for cancer (correlated only to vaccination)?
This is so helpful - thanks so much!
Thank you for your efforts. We do a somewhat similar monitoring process in Israel. You might be interested in our findings. Also we can point each other to issues worth investigating.
https://israelab.substack.com/archive
Thank you for this work. You led with a disclaimer that you are doing it basically for your own gratification. By vocabulary, terminology, concept and depth it is beyond what even most of the Substack readership will want to grapple with. But it must be so. Others of us will attempt to make your insights accessible to the hoi polloi.
Ashmedia wants to share this data with you... idk if you can see subscriber only post...
"We Got the Vermont Death Certificates for *ALL* Deaths for the Years 2015-2022 & it only took the bureaucracy 4 days, which has got to be a record"
"You know who I'd really love to get? Ethical Skeptic. He's been working with the death certificate ICD's since the beginning (CDC MMWR/Wonder)
Idk how to contact him though, he's like a mystic of sorts revealing himself through the mask of his twitter profile, and doesn't accept DM's."
https://ashmedai.substack.com/
https://ashmedai.substack.com/p/paid-subscribers-only-sneak-preview/comments
Just came across your website and substack. Wow! What a trove of great information. Thank you!!
"I am a skeptic of power, and no eager subscriber to Hanlon’s Razor."
I follow the data. I prefer the incompetence hypothesis until the data forces me to abandon it for the malice hypothesis.
I have found that there were 230,000 more US working age deaths in 2021 than in 2019. The CDC compared 2021 with 2020, which is an error, because 2020 has covid as a major confounder, while 2019 was prepandemic and should be used for comparison. I am certain that the CDC is aware of this. Hence, I conclude that comparing 2021 with 2020 is for the purpose of covering up the massive mortality increase in 2021 relative to 2019.
The key to defeating the coverup, I believe, is to insist that the CDC's comparison of 2021 with 2020 is invalid.
I am wondering if there are age buckets that go with the data and if there are shifts in age that can be seen that might also tell a story?
Are you a vaccinazi?
If you threaten a person’s livelihood because of their vaccine views, you are a vaccinazi.
If you censor a person’s speech because of their vaccine views, you are a vaccinazi.
If you coerce a person to get vaccinated, you are a vaccinazi.
If you restrict a person’s activities because of their vaccine status, you are a vaccinazi.
If you impede the open study and free discussion of vaccines, you are a vaccinazi.
Thank you very much for sharing your professional analysis with us! Looking for to the next installment in this series.
When you generate a 'best fit' line for data as presented in the charts of Exhibit A(for example) please also provide your chi-square, or better yet your R^2 value to give us an idea of how well the trend line represents the aggregated data points and their frequency(weekly I guess). Some of those best fit will have a decent R^2 number, but several of them will have a very poor R^2. I ask this not as a skeptic but for those who would attack your data and summary conclusions as unfulfilled by lacking some measure of trust. Thank you.
Ethical Skeptic: This is the first article of your that I have read. Well done!
I live in MN and I have been studying death files in MN for 2 years. I don’t have your skills. But, I do have the perspective of studying the details provided in the death records. I have learned a lot from this.
Interestingly, I don’t see a lag in CDC coding in the MN data. I am guessing the CDC just isn’t releasing the data to their sites. But they are coding and reporting back to the states.
In MN, the 5 year death average (2015-2019) was 44,000/year.
2020 deaths: 52,000
2021 deaths: 51,000
2022 deaths thru June 30: 25,000+
Clearly, with cancer, the “dog is not barking” in relation to excess deaths during the first year of covid. On the flip side, it appears to be barking loudly for heart disease. More than one mechanism of toxicity? Spike protein toxicity for heart disease (would be correlated to waves of covid as well as waves of vaccination) and pseudouridine enriched mRNA leading to immune suppression for cancer (correlated only to vaccination)?
ES - thank you. This is what you do and you’ve done it well here. Damning indictment and one easily shared with our friends and family.
How are there only 87 likes??? This is one of the seminal articles on perhaps the most consequential issue of the pandemic.
It's not like this needs Hold2 to translate ;)
Mind Blowing..thanks so much for your hard work!!
Thank you for your hard work