New Zealand OIA Request Reveals the COVID Vaccines Increased Your Risk of Dying


Chris Johnston submitted a OIA request to the New Zealand health authorities. The official response shows that the vaccines didn’t protect people from COVID. It killed them.

Executive summary

New Zealand resident Chris Johnston submitted an OIA request (similar to a FOIA) to the New Zealand health officials.

I analyze the results in this article.

Short story: The data they returned shows that the COVID vaccines didn’t save anyone from dying from COVID. They did the opposite: they increased mortality. Even worse, when COVID deaths peaked in July 2022, the vaccinated were disproportionately affected.

In short, they lied. Their own data shows that if you followed their advice, it was more likely you’d die during a COVID outbreak.

Are you surprised?

The data

You can download the source data from the public link.

I’ve downloaded the data, changed the numbers to numbers, did a pivot table analysis on the data, and posted it all to the New Zealand repository in this folder:

data-transparency\New Zealand\FOIA responses\vaxxed vs unvaxxed deaths

Their analysis of the data released under OIA

I’m not aware of any respected epidemiologist who has published an analysis of that data showing that the COVID vaccines are safe and effective.

Odd. I wonder why? There must be a reason!!!

This is, for now, the gold-standard data on mortality of the vaccinated vs. unvaccinated because the NZ health authorities won’t release the record level data so this is the best we have.

It’s not as good as the record level data that New Zealand released earlier, but it’s not bad and we can draw some important conclusions from the data.

You’d think that the epidemiologists worldwide would be all over this data. And all the trolls on X who claim to be expert in statistics would be all over it as well.

But there is not an analysis in sight! Just hand waving attacks on my post on X that I’m a liar, etc. The usual stuff.

Maybe if we looked at the data ourselves, we might have a clue!

Visualizing the data

Here’s a plot of the data they provided:

Two things jump out in looking at this graph:

  1. Raw monthly death tolls hit new highs after the COVID vaccines roll out. These are excess deaths. They started making fresh highs after dose 2 and and after dose 3. Some deaths after March 2022 could be ascribed to COVID, but that’s a bit odd since the death spike is in the vaccinated, not the unvaxxed, and the vaccine is supposed to protect you from dying from COVID. Also, the variant was Omicron which wasn’t very deadly. So if people were vaccinated and died from a mild COVID variant, this should be very alarming to the authorities if they were paying attention.
  2. The raw death counts for the unvaccinated are relatively flat over time. So the excess deaths in New Zealand clearly was caused by a pandemic of the vaccinated.

But this interpretation based on the aggregated data could be misleading. For example, suppose that everyone over 40 years old was vaccinated and everyone under 40 was not vaccinated. The differential in death rates could be due to the mix of ages in the two groups.

So to account for that we can either compute an age-standardized mortality rate for the two groups (which we don’t have the data to do since we don’t know the population sizes) or we can simply age-stratify the graphs. Since we can’t do the former, we’ll do the latter.

Age 81 to 100 analysis

Let’s start with 81 to 100 since that is the range where we have the most deaths so the data will have less statistical noise.

Because I used pivot tables, it’s trivial to use the popup menu in cell H1 to change the age range to 81 to 100. Here’s the new graph restricted to ages 81 to 100.

All-cause deaths in New Zealand by vaccination status at time of death. This chart is ages 81 to 100.

Let’s look at that peak in July 2022. This is when there was a huge COVID outbreak in New Zealand:

Official NZ COVID deaths. You can find this in the New Zealand repo (NZ official COVID deaths.xlsx)

So how did the vaccinated vs. unvaccinated fare? The spreadsheet tells us:

If you were unvaxxed, the death count went from 94 to 103. If you were vaxxed, the death count went from 1662 to 1992 during “peak COVID.”

If the vaccine protects people, the increase will be smaller for the vaccinated.

One little problem: it’s not!

Here is the calculation:

If you got the shots, your mortality increase was higher during peak COVID compared to the increase experienced by the unvaccined.

It appears that the vaccine didn’t reduce your risk of dying from COVID. It increased your risk.

This is probably why no mainstream epidemiologist is looking at this data.

You’ll only see this sort of analysis from “misinformation spreaders” such as myself.

Let’s look in more detail

We can’t stop with that one example because the unvaccinated raw numbers are too small; the result could have happened by chance.

Let’s look at the % increase for each of the vaccine groups individually and see if we see any disparities.

Then lets look at some aggregated numbers.

For doses 1 and 2, the rise was 1.09% same as the unvaccinated, which means the vaccines didn’t save anyone. But the numbers were small: 170/156.

For doses 3 and 4, the rise was 1.21% (computed as 1822/1506).

So we don’t see any lives being saved here by the vaccine in any of the dose sub-groups.

Did the unvaccinated make up a higher proportion of deaths? Nope!

The New Zealand website says that for 80 year olds and above, the percentage vaccinated were 94.9% (for 80 to 84), 95.5% (for 85 to 90), and 96.1% (for 90+).
A graph showing the ages of people getting the COVID vaccine in New Zealand.

That means that the unvaccinated should comprise at least 4.5% of the deaths if the vaccines are saving lives.

Here are the numbers for 2023 added up for you (not counting December since the numbers there were not fully reported): 613 unvaxxed deaths and 17087 vaxxed deaths. So the unvaxxed were just 3.6% of the deaths instead of 4.5%.

That may sound like a small percentage difference in absolute terms, but it is a huge discrepancy. It means that the vaccinated died at a rate that is 22.5% higher than than the unvaccinated did (you can verify this: 4.5/(95.5*1.225+4.5)).

Let me repeat that: the vaccinated died at a 22.5% higher rate than the unvaccinated for the 80 to 100 year olds.

We can’t do the same calculation for 2022 because the vaxxed-unvaxxed cohort sizes were changing and the authorities haven’t released the numbers.

The gaslighting attempts

They’ll try to gaslight you into believing that the mortality was higher in the vaccinated because the healthy people avoided vaccination and chose not to participate in New Zealand society. But the data Barry Young released shows the opposite: it was the healthier people who opted for the shots. This makes the disparity even more troubling.

Of course, we’ll never get a chance to discuss this publicly in an open debate because nobody will show up.

The time series analysis was dispositive

This analysis is redundant as we already know from the time series data of the New Zealand data that the vaccine increased all-cause mortality in those who took it. There is no doubt about it and nobody can explain it with a straight face.

When New Zealand researcher Janine Paynter claimed the mortality rise it was due to comorbidities of the vaccinated, I knew she was full of shit and had no explanation other than hand-waving arguments. Mortality in a fixed size doesn’t start to increase because you have people with comorbidities. That’s absurd. I am not easily gaslit. When I called her out on her bullshit, she blocked me. Because that’s the way science works. Instead of countering with data, you duck and run for cover.

Want to know the truth? Nobody who promotes the vaccines wants to know the truth.

The New Zealand health authorities could easily do a cohort time-series analysis on their data. Any country could. That would prove the vaccines are safe.

Every country refuses to run the analysis.

This is absurd.

If they are worried about Barry Young’s leak being misleading, they can release the full time series analysis by month by 5 year age ranges by week for 100 weeks and stop at 100 years old. This would not reveal anyone’s personal information.

But nobody will do this.

The only excuse for not doing this is that they have to keep the public in the dark to avoid embarrassing the health authorities, medical community, politicians, and mainstream press.

This is why nobody who is promoting the vaccines is calling for this level of data transparency. Because they don’t want to be exposed for killing people.


The reason mainstream epidemiologists are avoiding the latest New Zealand data drop from the health authorities is that it shows the vaccines increased your risk of dying from COVID.

So these epidemiologists stay silent and refuse to be questioned or participate in any public discussions about the data.

That’s how science works!

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