I posted this to Steve Kirsch's Substack: Note these relevant findings from a skilled data analyst on Substack. The data visualization methods and the provision of a 4K version to view on your large screen TV are wonderful tools. Perhaps you could interview this person:
The problem is that Larimer just made a "mistake" in not using the de-identification excuse hard enough and therefore publishing individual death (and case) ages with dates. If I could find more counties or even states that publish this detail I could easily apply my code to it and would expect to get more confirmation of what I found such as the off-season May 2021 death surge clearly standing out related to the vaccine rate peaks. But I have not been able to find anything like it for other jurisdictions (search help would be appreciated) -- I'm sure I could draw more attention to my work if Larimer wasn't just a one off and I could show multiple confirming examples.
I should also point out that Larimer has put effort into data obfuscation such as hiding the second dose peak as a derivative in the % fully vaxed vector and also publishing their new table of hospitalizations by age in a weird weekly but daily zeroes format that is hard to deal with if you can't code.
I can also list lots of other anomalies and "disappearances when something became obvious" in lots of places that I have looked at. For instance, NYC's site for a while published a good breakdown of C19 deaths by ages and comorbidity status but disappeared it when the non-comorbid deaths stayed stubbornly well below 1%! They also published an antibody testing chart but also disappeared that when it started to hover above 70%!
If the world's various public health data data teams reported to me they all would have been fired long ago for corruption.
As second best, I'm next going to work with the CDC state monthly age banded data for CO and see what that shows compared to Larimer using a detuned version of my code.
Ugh. I remember those NYC charts. And, I remember when they disappeared. Corrupt bastards. I'm in PA. I was having trouble accepting that this state could be so bad at collecting data at sufficient granularity to characterize this process.
I, too, came to the conclusion that they were "playing dumb". It's criminal.
Much appreciated, baizuobu.
I posted this to Steve Kirsch's Substack: Note these relevant findings from a skilled data analyst on Substack. The data visualization methods and the provision of a 4K version to view on your large screen TV are wonderful tools. Perhaps you could interview this person:
https://baizuobu.substack.com/p/larimer-county-in-one-chart-volume?r=c8vqx&s=r&utm_campaign=post&utm_medium=web
The problem is that Larimer just made a "mistake" in not using the de-identification excuse hard enough and therefore publishing individual death (and case) ages with dates. If I could find more counties or even states that publish this detail I could easily apply my code to it and would expect to get more confirmation of what I found such as the off-season May 2021 death surge clearly standing out related to the vaccine rate peaks. But I have not been able to find anything like it for other jurisdictions (search help would be appreciated) -- I'm sure I could draw more attention to my work if Larimer wasn't just a one off and I could show multiple confirming examples.
I should also point out that Larimer has put effort into data obfuscation such as hiding the second dose peak as a derivative in the % fully vaxed vector and also publishing their new table of hospitalizations by age in a weird weekly but daily zeroes format that is hard to deal with if you can't code.
I can also list lots of other anomalies and "disappearances when something became obvious" in lots of places that I have looked at. For instance, NYC's site for a while published a good breakdown of C19 deaths by ages and comorbidity status but disappeared it when the non-comorbid deaths stayed stubbornly well below 1%! They also published an antibody testing chart but also disappeared that when it started to hover above 70%!
If the world's various public health data data teams reported to me they all would have been fired long ago for corruption.
As second best, I'm next going to work with the CDC state monthly age banded data for CO and see what that shows compared to Larimer using a detuned version of my code.
Ugh. I remember those NYC charts. And, I remember when they disappeared. Corrupt bastards. I'm in PA. I was having trouble accepting that this state could be so bad at collecting data at sufficient granularity to characterize this process.
I, too, came to the conclusion that they were "playing dumb". It's criminal.