Data from the New Zealand Ministry of Health shows that the COVID vaccines have killed over 10 million worldwide

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I write about COVID mitigation policies, vaccines, neurological diseases and conditions, corruption, censorship, and early treatments. The data shows that vaccines are ruining the health of Americans and driving the epidemic in neurological conditions.

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Today you will get to see the data that nobody wants you to see. FINALLY.

No State or country has ever released record-level public health data on any vaccine .

Privacy is not the reason for this; the data can be easily obfuscated (which we did on this data) so that no record entry would match that of any person, living or dead.

The reason the data is kept secret is simple: it would expose the fact that the COVID vaccines are unsafe, as well as all the vaccines that I have been able to get record-level data on.

Today, thanks to a courageous whistleblower who works at the New Zealand Ministry of Health, we have record-level information from a large population of all ages and are making it public for the first time in history.

Here is the Rumble video announcing the leak :

There was a YouTube link as well, but YouTube censored it within minutes of posting, just like we knew they would.

Just as you suspected, the COVID vaccines have killed millions of people worldwide, an estimated 1 death per 1,000 doses on average in a standard population.

And now we have the data to prove it.

  1. I know the leaker and got the data on Nov 9.

  2. I verified the identity of the leaker and the authenticity of the data and chain of custody.

  3. There is no doubt about the authenticity. NZMH would have said the data is fake if it was. That would immediately discredit it. But they didn’t because that would be criminal. So they decided to distract people by going after the leaker and calling him a misinformation spreader for leaking the ACTUAL records.

  4. There are 12M doses in New Zealand. The data drop is only for the “Pay per dose” (PPD) program in NZ which is 4M of the 12M records. Whether you got PPD or not is pretty random.

  5. There is a disproportionate amount of records for the doses, i.e., they are not in direct proportion to the total number of each dose, e.g., they are not 33% of each dose. Some doses are over-represented, some are under represented.

  6. Many people will not have all their doses in this database, e.g., there may just be dose 3 data for someone.

  7. The fact that the sampling was uneven doesn’t matter if you analyze it the way I did. The fact that doses are missing is also irrelevant. These are gaslighting arguments made by people who are incompetent to analyze this data.

  8. The data shows a mortality hump that peaks around 6 months after a dose is given.

  9. If you limit the time period to before COVID, during COVID death wave (from April 1 to August 1, 2022) and after the wave, you find the same response curve. So it wasn’t COVID. People who claim that are misinformed and claim it without evidence.

  10. Nobody will debate me on this. I offered to debate the NZMH epidemiologists about the cohort time-series analysis I did and they don’t want to challenge me for some reason. I can’t figure it out. They should CRUSH me if the data shows the vaccines are safe.

  11. The NZMH should be releasing the full 12M record dataset to remove all doubt and prove to the world the vaccines are safe. They don’t want to do that. Nobody wants to do that. Nobody in the ##$#$#% world wants to do that. Can you figure out why? Use your brain folks!

  12. I offered to bet anyone $1M on the same terms as my bet with Saar Wilf that the NZ data is legit and it shows the vaccines increase risk of death. Nobody seems interested in taking my money which means all of them have no confidence whatsoever in their criticisms.

  13. The NZMH whisteblower, Oracle database admin Barry Young, is a hero. He knew he would risk his life and could spend the rest of his life in jail, but he made the courageous move to expose the data for all to see. This is a highly commendable act of public service. He basically threw the rest of his life away in order to save the lives of others. Why else do you think he would do that? Nobody can explain it.

  14. They tried to give this to lawmakers but nobody would meet with them.

  15. No New Zealand lawmaker is calling for an independent investigation. They all want to make Barry into the fall guy. Why not have a worldwide panel of top epidemiologists analyze the record-level data? We know why… Barry was right.

  16. The NZMH has never released the time-series cohort analysis showing the vaccines are safe. They have never released the record level data. Their goal is to keep the data hidden for as long as possible so that they kill as many people as possible before they are caught. The leadership of NZMH are the people who should be arrested.

  17. Professor Norman Fenton retracted his remarks about deaths being oversampled after I pointed out to him that there is nothing in the data that supports that. See his new article . He doesn’t dispute my analysis (which ignores the hot lot analysis).

  18. Igor Chudov wrote a critical article but now is relooking at the data after I talked to him and explained to him how his original article is wrong.

  19. UPenn Professor Jeffrey Morris claims you can’t find a signal here but all attempts for a public recorded discussion of the data were refused. He apparently hasn’t even seen my MIT presentation which is a pre-requisite if you are serious about understanding this data. He shoots first without taking the time to listen to what is being presented. Morris isn’t an honest actor. Someone looking to find the truth would be calling for every public health agency to release the record level data. Morris has never made any such call. He doesn’t want the truth exposed . I asked him to explain just one slide in my MIT slide deck (the most devasting slide in the deck), and he hadn’t seen it before which is proof he didn’t even listen to my presentation or even view the slides. Instead of explaining the Medicare data, Morris does his standard “switch the topic” technique to avoid answering a simple question. Click the link and scroll up to see the original question which nobody can answer:

  20. Morris has had the records in his hands for about 1 week before my MIT talk. He has not published any blog post explaining how this evidence is consistent with a safe vaccine. When I asked him, “So Jeffrey, what exactly would an “unsafe” vaccine look like, he said he doesn’t play games like that. Morris never saw a vaccine that is “unsafe.” In his eyes, no matter how many people die, the vaccine is safe and all safety signals are caused by confounders that he cannot quantify. This is all handwaving analysis to make your point. Where is his blog on this data? I’ll tear it apart inch by inch and show how corrupt he is.

  21. The official NZ death records show around 10,000 excess deaths since the vaccines rolled out. This is comparable to the number predicted from the vaccine data (1 excess death per 1,000 doses).

You can read my “Is it safe?” MIT presentation slides here . I highly recommend reading the slides and/or watching the livestream. I tried to make the slides self-standing, but the livestream can be helpful in explaining some of the slides.

I also periodically dump a PDF version of the presentation to my skirsch.com web server . The PDF version is searchable and you can copy/paste text from it (such as the access keys for the Wasabi server so you can download all the goodies).

Here is the Twitter livestream .

Here is the Rumble livestream .

The MIT presentation listed above has everything you need including the credentials to download all the data.

Here are the credentials:

Server: kirsch.izt.world:9000
Note: do NOT use SSL (make sure this is unchecked)

Public API keys:

access-key= g42m54xwZS80yQpAO20Q secret-key= Kq77gLL47mbypnnRc0UP7sPTvrvjn6y0D5FSEK5H

You can only access the data-transparency bucket for now. Trust me, there’s more that I’m not disclosing yet (including a new US source other than Medicare).

This bucket has data from New Zealand, US, and the Maldives.

You can use any S3 file browser to download such as CloudBerry Explorer or CyberDuck . Note: you may need to pick one of the default cloud providers, then change the Service point like I did here with CloudBerry Explorer:

Make sure your destination folder is writable when you copy files from the server.

You can also use rclone to make a local copy of the repository on your system:

https://kirschsubstack.com/p/data-from-us-medicare-and-the-new#%C2%A7short-responses-to-criticisms-about-the-data