From [HERE] and [HERE] New UK government data allows us to analyse the data in a way we couldn’t before. This new analysis shows clearly that the Covid vaccines kill more people than they save for all age groups. In other words, they shouldn’t be used by anyone. The younger you are, the less sense it makes.

“The bottom line is this: finally, the data is publicly available in plain sight that shows clearly that our governments have been publicly killing us with these vaccines and vaccine mandates.” – Steve Kirsch

Anyone can validate the data and methodology. The results make it clear that the Covid vaccines should be halted immediately.

If the vaccines really work, then why hasn’t any government anywhere in the world produced a proper risk-benefit analysis that shows the opposite result?

If the vaccines work, then why do all the lines in Figure 6 below show that Dose 1 and Dose 2 of the vaccines kill more people than they save?

What the data shows

Here’s the result of the analysis.

What this means is that if you are 25 years old, the vaccine kills 15 people for every person it saves from dying from Covid. Below 80, the younger you are, the more nonsensical vaccination is. The cells with * means that the vaccine actually caused more Covid cases to happen than the unvaccinated.

Above 80, the UK data was too confounded to be useful. Until we have that data, it’s irresponsible to make a recommendation.

I describe below how you can compute this yourself from the UK data.

Introduction

One of my friends recently sent me a link to the mortality data from the UK government Office of National Statistics from 1 January 2021 to 31 January 2022. I had not seen this data before so I analysed it.

What I found was absolutely stunning because it was consistent with the VAERS risk-benefit analysis by age that I had done in November 2021.

Where to get the UK government source data

The government data is archived here. You want to open the spreadsheet and look at the spreadsheet tab labelled Table 6.

You can also access the original source at: ONS dataset, Deaths by vaccination status, England, which you can see at the top of the page.

In either case, you click the green button labelled “xlsx” to get the spreadsheet, then go to tab “Table 6”:

England.
Death by vaccination status dataset. Table 6. All-cause, Covid 19, Non-Covid 19 age-specific mortality rates per 100k Person Years.
All age groups (*exc. 10-14yo: Too few deaths. 'Error bars' too wide).https://t.co/fuKiimFqJU
All-cause. pic.twitter.com/7d4ciM9Sr4

— O.S. (@OS51388957) March 22, 2022
Note: The data is from England only, not all of the UK.

Where to get my analysis of the data

I annotated the UK source data and you can download it here. This makes it easier to see what is going on. You can see all the original data and my formulas for calculating the ACM ratios and risk benefit analysis on the Table 6 tab.

It is all in plain sight for everyone to see. I then copied values to the Summary and Exec Summary tabs.

Methodology

I compared the all-cause mortality (“ACM”) for people who got 2 shots at least 6 months ago with the unvaccinated. The 6-month time frame provides a minimum reasonable “runway” to observe the outcomes for the typical “fully vaccinated” person.

Summary of the data

This summary below (which I put on the Summary tab which is to the right of the Table 6 tab) shows the rates of all- cause mortality per 100,000 person-years for each age range and also shows the risk benefit ratio.

The data clearly shows that any mortality benefit you get from taking the vaccine and lowering your risk of death from Covid is more than offset by the mortality you lose from the vaccine itself. This isn’t new. It is something I have been saying since May, 2021. But now I finally found the data where I could calculate it reliably.

In the Pfizer Phase 3 trial, there was a 40% increase in ACM in the vaccinated group. They killed an estimated 7 people for every person they saved from Covid!

In the Pfizer Phase 3 trial, there were a total of 21 deaths in the vaccine group and 15 deaths in the placebo group.

This 40% increase in the all-cause mortality in the trial (21/15=1.4) was of course dismissed as not statistically significant. While that is true, that doesn’t mean we shouldn’t pay attention to the number.

But now, based on the UK data, we know that the result in the Phase 3 trial wasn’t a statistical fluke. Not at all.

In fact, if we look at the risk benefit, we see that we saved 1 life from dying from Covid (1 Covid death in the treatment group vs. 2 Covid deaths in the placebo group= 1 life saved), but there were 7 excess non-Covid deaths (20 – 13).

So, the Pfizer trial showed that for every person we saved from Covid, we killed 7 people. However, the numbers were too small to place a high confidence in this point estimate.

However, I’d argue that Pfizer trial was a best case because:

1. The trial enrolled abnormally healthy people who died at a 10X lower rate than the population (there is a 1% US average death rate per year, yet there were just 15 deaths in the 22,000 placebo arm in 6 months which is a .1% death rate)

2. They were able to get rid of anyone who had a reaction to the first dose without counting them

The most important point though is that the Pfizer trial killed:save ratio of 7:1 and the ACM ratio of 1.4 is consistent with the hypothesis that the vaccine kills more people than it saves.

My ACM risk/benefit estimate using VAERS

This is from a risk/benefit computation I did on 1 November 2021 using the VAERS data to compute the ratio of the # of people killed from the vaccine (V) to the # of people who might be saved from Covid (C) if they took the vaccine and it had 90% effectiveness over 6 months (since we knew it waned over time and variants would change). Of course, that was a conservative estimate of the benefit, but that’s because I wanted to make sure I was on solid ground if attacked.

So now we know that my VAERS calculations approximately match the actual UK data in Figure 1. Since my analysis was deliberately conservative, many of the numbers are smaller than the actuals.

This is another example that people who claim (without evidence) that the VAERS data is too “unreliable to use” are wrong. If it is so unreliable, how did it match the real-world UK results so well?

Note how that VAERS showed exactly the same effect back then that we just learned from this UK data: that the younger you are, the more nonsensical getting vaccinated is.

Our V:C column decreases as you get older (from 6:1 down to 1.8:1) just like column E decreases (from 1.9:1 to 1:1 over the same range) in Figure 2.

Isn’t that an interesting “coincidence”? They are within a factor of 3 of each other.

Confirmation from others

I’m hardly the only person noting that the Covid vaccines kill more people than they save. Other articles show either no benefit at all or a negative benefit.

For example, check out:

1. 99.6% of Covid deaths in Canada were among fully vaccinated people between April 10-17 which can only happen if the vaccinated have a great ACM than the unvaccinated since there is only an 86% vaccination rate in Canada. This is hard for anyone to explain.

2. Fully Vaccinated 6x Higher Overall Mortality Than Non-Vaccinated (October 30, 2021)

3. Follow-up of trial participants found ‘no effect on overall mortality’

Figure 4. Table from the Denmark paper published as a pre-print in the Lancet

4. Horowitz: The failure of the mRNA shots is on display for all with open eyes

Note that the Denmark paper (pre-published in the Lancet) showed overall zero all-cause mortality benefit based on clinical trial data. That’s certainly more optimistic than the UK numbers, but the problem for the vaccine makers is that the UK numbers showed up to 38% of the deaths were from Covid so if the vaccines actually worked and were safe, you’d see a huge ACM benefit and you saw nothing.

Why are we mandating a vaccine with a zero ACM benefit?? No public health official wants to answer questions about that.

What makes this analysis different than previous work

The dataset used here contains both Covid and non-Covid deaths by age. We haven’t had that before.

This enables us, for the first time, to validate the data as we explain in the next section.

In short, the data we have in this dataset is more detailed than in the more frequently cited UK Health Security Agency summaries. [MORE]