The New Zealand data leaked by whistleblower Barry Young is unassailable proof the COVID vaccines increase your risk of death

They will do everything to gaslight you into believing otherwise. The one thing they won't do is have a civil debate with me on the time-series analysis or explain to anyone how it is wrong.

Executive summary

No country has ever disclosed patient record-level data on any vaccine ever before in history.

The reason for this is not due to privacy concerns. I proved that after I released the NZ data publicly and not a single person could find their records.

The reason that governments don’t release the public health data is that it would reveal that they have been systematically killing their citizens with these “vaccines.”

Finally, one brave guy, Barry Young, an Oracle DBA at Health New Zealand, leaks the data to me. I obfuscated it to preserve privacy, and then made it publicly available for everyone to see.

Health New Zealand chief executive Margie Apa blows a fuse and has my Wasabi site taken down (so I instantly put up again at a bulletproof hosting firm) and has her chief people officer, Andrew Slater, write a note to me informing me of the orders they obtained in New Zealand. Slater conveniently fails to mention he has no jurisdiction over me. This is a scare tactic to silence me. When I ask Slater if I can talk to the epidemiologists, he ghosts me. Nice guy.

None of the leadership team at Health New Zealand is interested in the fact that their database shows they are killing New Zealanders with these vaccines. They will not let me speak to any of their epidemiologists and they won’t show me the time series analysis done by their epidemiologists for some reason. Why not? That’s the best way to silence me: just show me how I got it wrong.

Two New Zealand scientists at the University of Auckland, Janine Paynter and Helen Petousis-Harris, have viewed the leaked data, but refuse to publish their report. Nor will they explain how my analysis is wrong. They do not want to engage in any scientific discussion at all. I can’t even pay them to tell me how I got it wrong. I even offered them $250,000 to talk to me. No response. This is because the data leaked by Barry Young is a third-rail for them.

Barry Young is being charged with a crime. But the reality is that HNZ has given us a gift.

When Barry has his day in court, he gets to do something none of us have been able to do: force these people to answer the questions we’ve always wanted to know the answer to but they always refused to answer.

These are questions such as:

1. What reports did the epidemiologists create based on the NZ data showing the vaccine reduces all-cause mortality in New Zealand?

2. What investigations were made by Health New Zealand after Barry Young informed management there was a safety problem with the COVID vaccine?

3. How did the New Zealand epidemiologists at Health New Zealand explain the time-series analysis of the leaked data? The time-series analysis shows the vaccines increased the risk of death. If the vaccine didn’t cause this, then why were recently vaccinated people dying at a progressively higher rate than the rest of New Zealand (those of the same age). What did all these people have in common that accelerated their death if it wasn’t the vaccine?

I can’t wait.

In the meantime, here’s a very brief summary of the New Zealand data for people to chew on.

I’d be delighted to debate any of this with a qualified epidemiologist who disagrees with me, but so far no takers.

What does that tell you?

Gaslighting attempts

Lots of people will try to gaslight you into thinking the NZ data is a nothing burger.

They are wrong.

Unfortunately, none of them will go “on camera” to allow me to challenge them about their claims of missing data, no control group, under-reported deaths, it’s HVE, etc.

I have an open offer to any of them. The only rules I have are: no insults and each side gets the same amount of talk time.

Apparently, that’s too challenging for them to agree to.

Darn. Darn. Darn.

I am lonelier than the Maytag repairman.

Quick summary of what the New Zealand data shows

The time-series cohort analysis I did on the New Zealand data is definitive. That link tells you how to download all the data yourself.

Here’s just one example of what it shows.

This is for doses 2 through 4. Doses 2 and 4 are given when the death rate is going down. Dose 3 is given when the seasonal death rate is increasing. There are 1.7 times as many person days in the 2,4 cohort vs. the dose 3 cohort. So the slope should be going down. It doesn’t. It goes up. This is the smoking gun. Nobody can explain it. This happens in other countries as well (see this post which references S3.B in this paper as well as this article).

Mortality rate in deaths per 100K person years vs. week number since vaccine administered (x-axis). This is for doses 2 through 4. It’s “supposed” to slope down due to seasonality. The slope goes the wrong way if the vax is safe. Nobody can explain this. This is not due to the “healthy vaccinee effect” (HVE) which lasts only 4 weeks.

You can also look at Dose 4 alone. I picked everyone who got the shot in July 2022 so I could track this vs. the background deaths in NZ. The death rate goes up if you got the shot while the rest of New Zealand’s death rate is falling.

the top graph shows the deaths per month for everyone who got Dose 4 in Jul 2022. The x axis is the days since dose. The orange line is the NZ background deaths per month which I’ve scaled to match the t0 value so you can see that they diverge and the slopes go in opposite directions. The lower graph simply plots the percentage disparity between the two lines in the top graph.

As you can see, the elderly, for which the death rate should be dramatically falling, experiences the opposite effect if they’ve been jabbed. This is for people who got Dose 4 in July 2022. Their deaths per week are stable to rising when they should be falling:

Pivot table analysis of people who got Dose 4 in July 2022. Their deaths per month increase when they should be decreasing.

We don’t need to get any more complicated than these two examples.

They are simply unexplainable if the vaccines are safe.

Also, the % of people who die at a site or at the hands of a vaccinator, should only depend on age. It doesn’t. Whoops!

Whoops! if you are older, it really depends on who your vaccinator is if you want to minimize your risk of death.

If you are older, it depends on where you get your shot if you want to minimize your risk of death. If the vaccine was safe, this wouldn’t matter.

Even worse

The New Zealand data shows that if you got the COVID shot, your mortality rate can be, depending on your age, well over 26% higher than the mortality rate expected for your age. This is a disaster.

Summary

Barry Young is a hero.

Not only did he publicly expose the data that definitively shows the COVID vaccines are killing people, but he also gets to compel these epidemiologists to finally explain how I got it wrong.

I can’t wait. I’ve been pleading for qualified scientists to set me on the right path for years now with no success. They all refuse to explain the observations above (or give me bogus answers like “it’s HVE”).

It’s a shame that Barry had to be arrested for us to get answers, but it’s clear that a court hearing is simply the only way to compel qualified scientists to answer questions nowadays.

And a big thank you to Health New Zealand for having Barry arrested which will give Barry this opportunity to expose the real criminals in his court hearing. It will be epic. I can’t wait.