P7: New Zealand Data - The Most definitive Explanation of Integrity!
Is it legit or is bull dookie? Is it Xerox or is it Memorex?
Part 6 HERE : Dashboard HERE
It’s 8:26am PST Dec 7th, Kirsch may be on a long flight back home because he has been tweeting like crazy last night and playfully offered some clues into his “obfuscated” WikiLeaks style data release. I’ve studied it more than almost anyone who has wisdom know the difference between something authentic or something Xeroxed. Did you know a before a fax was called a fax or before “fax” meant to send a document through the phone lines, making a facsimile meant to make a scanned copy of the document on your Xerox machine? Steve will know all about Xerox since “he” invented the optical mouse. Today we got Python probability algorithms and algorithm randomizers like the one Kirsch used on this data to protect HIPAA (PHI). Nobody should be getting their accounts nuked like Kevin McKernan for this data. It’s in effect “like” the default factious supermarket sample data you get by default with Microsoft Excel or bigger data sets you can find in the Azure cloud. Let see some of the clues the Wizard of Oz Kirsch left us.:
Oh I spoke to soon, looks like McKernan got his data restored!! Maybe now the first wave of pussies that ran and hid under a rock will start to analyze the data? Nobody should be pushed around for Kirsch’s photoshopped copy of the truth!
Since this is a time cohort study or whatever it’s called that only works in Steve’s magic box form filler application, nobody can do much of anything except measure “lag days” of death between last vax and death date… Let me show you what I mean and poke some holes in the study but also strengthen the position of HIPAA and say technically speaking this data does not breach HIPAA except for Barry sneaking off with it through the back door. Barry is Assange level brave, a man of integrity, I’m honored to push any info forward!
As I explained in a previous article this is the actual “Kirsch” randomized data in the dump. I highly doubt the Date of Birth is the actual DOB but I guess it was obfuscated then put there to add street credibility? Only the AGE would have been sufficient enough like VAERS does it, you know? However, this brings us to the first funky chicken I see… Look closely and notice the AGE column is static no matter when the victim was jabbed? The two 55 year olds that died, were they 55 at their first jab or 55 at the time of death, maybe 55 at the moment Kirsch applied the Python buckets reverse fuzzy logic juju on the data? This can be a small big deal especially thinking about the kids? The data on the kids seems very clean in that there are not to many kids that are on their 3rd or 4th dose? Very few kids had a birthday between fist and last jab, but I did pluck out one example to make my point at lines 9-11. This kid should have been 6 at last dose or 4yrs old at first dose, but he can’t be 5yrs old at all 3 jabs!!??
A couple of side notes here and something that maybe worth furthering auditing:
There are 125 batch#’s in perfect order and not one missing. It’s a pseudo lot# but maybe we can infer some lots were more toxic than others?
There are exactly 2,215,279 perfectly sequential unique MRN’s (unique records or people), not one is missing, there is even MRN ID#: “0”. That’s clever and funny. Stands to reason it’s because the data was modeled and curated before hand, nothing was probably left out, that would go against what we want, more data!!
The only thing of real value here is the Lag of days between last vax and death date. And not for nothing but I will point out a little normalizing in Steve’s cohort study that gets left out, but shouldn’t make hardly a big deal at all…
Here is page 89 of Kirsch’s MIT slide deck where he describes the form filler part of his snappy app:
The red fields are the variables you can plug into the matrix to generate graphs and the results are displayed to the bottom half. Cool! This is basically like my interactive dashboards! I wonder if 5 doses is the max you can plug into the matrix? Because the max doses somebody is claimed to receive in Barry’s data is 32 doses!?
If 5 doses is the max you can enter in Steve’s matrix, you would be excluding 95 deaths against 6,661 reports or aka all the victims that had 6 or more jabs:
The moral of this story is that Steve really did a good job protecting PHI (Patient Health Information) and protecting his own ass, can’t knock the man for that. Any of the other analysis done on doses and age I’m not as confident about, but Steve’s algorithms could be properly calculating ACTUAL victims real DOB at vax date and death date properly for sure! I’m hoping Steve slowly leaks out the gender and actual lot# information because you know he probably has it? The Wizard of Oz has to play cat and mouse for his own safety, nothing wrong with that! It’s probably fair and wise to say that Barry gave Steve the data in this obfuscated format! wink wink
BTW- The comments from my readers have been absolutely amazing! My reads are awesome, smart, from NZ and dropping some deep knowledge. I should know because I’ve been helping the inner circle freedom fighting Kiwis for a long time! I’m like the lost tribe of Israel that will not be mentioned! Why? Because God is saving me for the end game. God Bless. Phil 4:13
BTW- I didn’t realize Kirsch’s Tweeter banner is from my church! Calvary Christian Community! I was attending there since a child in ~82’ even went on a youth ski trip with them to Boreal in those days. I saw Kim Clements live in 1997 at Cathedral of Faith in SJ. The Mario Murillo revival at Calvary in ~82’ was phenomenal! It was Pastor Wayne Frye in those days… Anyways I’m sure I was in the audience at whatever Kirsch appearance it was at my church which Steve now has a banner. I’m honored! Heck I introduced Kirsch to RFKjr and the proof is right here.:
God Bless. Please support The Eagle. Pretty Please. God will repay you 1000x
Thank you Albert for always being on it - and knowing some real people down under who can share real data.
It would be very helpful if the first section of your post was a short paragraph, in plain English, summarizing your findings. In other words, start out with your Bottom Line, and then add all the gory detail for those who are interested.