New Zealand Data – Why Is Youth Under Represented?
I was getting some great brainstorming in the comments of my part 5 article as to why the youth are under represented in the data
A special thank you to Wendy and Transcriber B making my brain do a workout. I was about jump in and validate ages, vax dates, and death dates.
However, another follower “Mongol” chipped in with valuable info here:
The reason for the discrepancy in ages is probably the method that was used to obfuscate the data.
Kirsch said: “We have the original data. It’s been anonymized so we don’t run into any privacy issues or HIPAA violations. But it’s been anonymized in a way that we maintain the statistical fidelity of the data. In other words we time-shifted all of the dates relative to each other, but the dates relative to each other are the same. We just shifted them slightly in time so that you can still do the statistical analysis without violating anyone’s privacy.” [https://banned.video/watch?id=656a5c4e0681e68064e50415, time 14:25]
In February 2023, Kirsch wrote a Substack post where he requested people to release record-level vaccination data, and he even provided instructions on how to format the data, which matches the format of the CSV file that Barry Young gave to Kirsch.
But in the post he also wrote: “Before publicly releasing the records, you obfuscate them using a method that is deterministic on a per record basis so that all the dates of a given person’s records are consistently time shifted.”
The obfuscation procedure probably also explains why there’s a slightly higher number of vaccines given on weekends than weekdays, and why a time series plot of vaccine doses given per day looks like a smoothed average of real vaccination data: https://mongol-fi.github.io/moar.html#Distribution_of_vaccine_doses_given_per_day.
Could it be that the data was sanitized by Kirsch or Barry in such a way sort of complied with HIPAA, in that it protects the confidentiality of the actual victim?
I believe strictly speaking confidentiality is protected, it’s even less info than VAERS publishes. VAERS at least gives a gender and a state and lot#. Here the only victim demographic data available is the age, vax date, and death date if applicable. The batch# aren’t even real, they are pseudo ID#’s.
This still doesn’t explain why the youth is under represented? I decided to text Kirsch myself and see if I could get some clarification… So here that is this morning Dec 5:
What? The ages were not “significantly” modified? WTF Steve! You can’t knock Kirsch, but apparently this data is garbage and full of shit, unless you want to do the same exact cohort time series study and ONLY the analysis Steve and crew has done.
Well I don’t need to go any further with this dashboard, but to say age groups are immaterial is lame!! Any kind of lot analysis will be worthless as well. Oh well, that’s how the cookie crumbles.
At least I know I probably won’t be pinched and Steve Kirsch shouldn’t be pinched either. Him & Barry didn’t publish data that violated HIPAA strictly speaking. This is Julian Assange stuff and the data is damning! ~37K DEATHS is a genocide and it only increases from there.
How many people are walking around maimed and injured from this de-pop shot?
I’m not going to duplicate something Steve already did. I make cool dashboards, and I’m a medical billing extraordinaire, HMO Auditor, revenue management cycle expert. I’m ready to bring my A game.
I should have read the fine print, but at least you all see what I can bring to the table. I’m going back to my VAERS…
See more here substack.com
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