christian:
As the Bible tells you; The truth shall set you free. So many hooked on lies and liars take a year or more to face the truth, which they abhor to admit to. Some never will come to terms with truth AND REALITY. People were warned repeatedly HERE, and some still deny, just like the rainbow of lies to create crisis to lead usefull fools off the high cliffs now! How well many were warned about co-vid and yet clung desperately to the lies that murdered people around the world. What one would expect from SOCIALIST Nazi's, NWO rich global elitiest.
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https://stevekirsch.substack.com/p/uk-government-data-shows-nobody-should?token=eyJ1c2VyX2lkIjo0MzIwMjkzNiwicG9zdF9pZCI6NTM2MDIyNjQsIl8iOiI1dUd5SyIsImlhdCI6MTY1MTkwMTIzMiwiZXhwIjoxNjUxOTA0ODMyLCJpc3MiOiJwdWItNTQ4MzU0Iiwic3ViIjoicG9zdC1yZWFjdGlvbiJ9.hMApx-l4kagpmY6RSvAq5IjmtINmj6SvUVHnBWuix_A&s=r
New UK government data shows the COVID vaccines kill more people than they save
I've been asking everyone: Show me the all-cause mortality data proving the vaccines are safe. I finally got some data. It's from the UK government and it's devastating. REALLY devastating.
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Steve Kirsch
May 5
New UK government data allows us to analyze 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.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?
Not a single public health authority in any country will have a conversation with us on the record to justify their vaccine recommendations by producing an all-cause risk benefit analysis similar to what I computed here. I wonder why?
What the data shows
Here’s the result of the analysis comparing unvaxxed vs. 2 doses given at least 6 months ago. I believe this analysis is conservative and the actual numbers are worse than this due to the seasonal variation of the all-cause mortality.
Figure 1. Risk/benefit determination from the UK data shows that for all ages, the vaccines kill more people than they save. A value of 15 means we kill 15 people from the vaccine to save 1 life from COVID. This is from the Exec Summary tab of the spreadsheet.
The data showed that for most age ranges, the vaccine reduced your chance of dying from COVID, but it increased your chances of dying from other causes. The former effect was smaller than the latter effect so the vaccines are nonsensical.
For example, 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 in Figure 1 with a * means that the vaccinated had more COVID deaths than the unvaccinated. This is known as “negative vaccine efficacy.” This wasn’t surprising since we’ve been claiming that the vaccines damage your immune system.
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.
Please share this result on all your social media platforms. One user got 10,000 likes in less than 24 hours on Twitter and he had only 2,000 followers. So Twitter permanently suspended his account. So probably not a good idea to share on Twitter. According to Twitter, “health officials consider the COVID-19 vaccines safe for most people” and therefore any UK government data that shows that they are lying is a violation of Twitter Community Standards.
Introduction
One of my friends recently sent me a link to the mortality data from the UK government Office of National Statistics from January 1, 2021 to January 31, 2022. I had not seen this data before so I analyzed it.
What I found when I analyzed the data was absolutely stunning because it was consistent with the VAERS risk-benefit analysis by age that I had done in November, 2021.
The proper way to do a risk-benefit analysis
To show the vaccines are a beneficial intervention, you’d ideally want to do a randomized trial. We did that and the results showed 7 excess deaths for the single life we saved from COVID. More about that later. But the numbers we too small to be confident they weren’t statistical noise.
Since the trials are now all unblinded, we need to see is a retrospective study of matched individuals with 100,000 in each group selected on December 1, 2020 before the vaccines rolled out to the public.
One group goes the full vax route. The other group shuns the vax entirely.
We then look at the number of COVID vs. non-COVID deaths in each group and compute the risk-benefit analysis as we did earlier. Since each group is nearly identically matched except for the intervention, the comparison is fair.
That’s what we want to see.
What we get in the UK ONS data is something completely different (as we will explain below) and there is no clear way to repurpose that data for our study.
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 labeled Table 6.
You can also access the original source at:
https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/deathsbyvaccinationstatusengland which you can see at the top of the page.
In either case, you click the green button labeled “xlsx” to get the spreadsheet, then go to tab “Table 6”:
To visualize it, see this tweet.
Note: The data is from England only, not all of the UK. On top of that, it is based on people in England who were both a) registered in the 2011 UK census and b) registered with a GP in 2019.
christian:
When will fools quit believing in liars and human butchers every time they lie, that seek to lead them astray, unto destruction?
