P18 New Zealand Data - Avg Age of Death is 78.92yrs...

P17 HERE : Hypothetical Dashboard HERE

Just yesterday and today this morning Dec 26th, OpenVAET and Arkmedic aka Dr. Ah Khan Syed published a joint article stating Barry & Steve Kirsch’s data was a nothing burger?

The New Zealand "whistleblower" data is a burger of nothing. And there is no cheese.

I do not agree so I want to plug a few holes and make sure we are all on the same page. I generally know of OpenVAET and Arkmedic’s work and wouldn’t consider them “pro” this vax, but I’m not sure what they individually think about the rest of the vax schedule and or if they believe there are any safe vaccines? My first glance of their article if I didn’t know their previous work, I would think these guys are pro-vaxxers by the way they have poo-pooed the whistleblower’s data and Kirsch’s synthesis.

I want to come at this data in a more pragmatic way and basically eliminate as much statistical probability as possible.

My data matches theirs and yes there is a data that is a bit wonky:

There are some data anomalies as also reported by Igor Chudov

In 586 rows, the same subject doesn’t have the same date of birth than in a previous row.

In 226 rows, the same subject doesn’t have the same age than in a previous row (with variations by several decades).

In 322 535 rows, the subject age is different to the date_of_birth to datetime_of_service total years by more than 3 years. This offset falls to 97 if we use the export date (October 27, 2023), so it’s likely this variable was dynamically calculated at export time.

The highest “dose_number” for a given subject, in the dataset, is 32.

Lastly, as pointed out by Dr Shiva in this interesting presentation, 42 rows are duplicates3 in the original dataset. There are none in the dataset communicated by Kirsch - which confirms that the alterations of the ages have been very poorly done. 

There is a couple other anomalies not mentioned by Igor, OpenVAET, or Arkmedic or maybe it is by Igor in regards to victim age across all their multiple administrations? I noticed quickly that many victims (all victims) have the exact same age across all their vaxx administrations even if the span of time covers 2 ~ 2.5 complete years? The dude be 50yrs old at his 1st jab and also 50yrs on his 3rd or 4th jab two years later? I’m not sure if this is what Igor is referencing in his observations?

Anyhow I did confirm with Kirsch over a Twitter “Space” and with my trusted confidants that there are 37,315 total deaths in the whistleblower data. I mentioned early on that I felt the younger population was under represented in this data as represented in my money shot here:

Using populationpyramid.net you can see how under represented the youth seems to be? Barry/Kirsch whistleblower’s data only has 39 kids from 0-4yrs old that were vaxxed (0 deaths)? For kids 05-09yrs old there are only 47,028 jabbed aka 14.53% of the 323,700 estimated kids in this cohort. The total New Zealand population representation seems to be about 43.19% or 2,215,729 of 5,129,739 Kiwis.

There is one huge caveat that needs to be stated here and I realized it listening to some twitter Spaces about actual Kiwi’s who said they got their first two shots in the Pay per dose system, but got their 3rd shot at some other government site. I heard another person say they got their 1st and fourth shot in the pay per dose system, but their 2nd and 3rd at some other government location.

I now realize what if someone get’s their first couple or few shots in this pay per dose system but gets their last shot in the other government “free” system and then dies? Will the death be recorded in both systems or just the last database? This unanswered question almost makes any kind of dosing analysis a moot point? If Anything the 37,315 deaths in this Barry/Kirsch database has to be the rock bottom number and there is reasonably more deaths that happened against these ~2.2M Kiwis and not to mention the under represented kids?

I wanted to normalize the data and say what if all categories equally represented the Kiwi population of 43.19%? Here is it…:

Do you see how if 43% of 00-04yrs old were represented there would be about 134K tiny kids in this data set? I would expect some deaths. Representing all age categories equally at ~43% brings the total deaths considerably down to 20,335 I know… I don’t know what it means I just had to throw it on the table.

This is the total deaths by age in the Barry/Kirsch data set:

Here is the average life expectancy for New Zealand by macrotrends.net is 82.80yrs:

3.88 less years of life expectancy seems significant as it stands for New Zealand, when you hypothetically factor in the under represented young people in this data set, I think you can reasonably say New Zealand has a big problem with these vaccines as does the rest of the world.

I think the world is so manipulated and the Professor Peabodies are so busy being Peabodies that it will take a third of the world to perish before some of you PhD’s pick your head up and look onto the horizon and say, Oh Shit! I think we have a problem?

God Bless. Please support The Eagle! A big shout out to Dr. Gerry Waters of Ireland, thanks for the Christmas gift Gerry! And thank you to the other 41 paid subscribers. Let me be the first to say, there ain’t no money in going against the narrative, but I’m rich in spirit. I almost feel like Lot, the one last good guy in Babylon, except without all the livestock. lol

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