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posted ago by Narg ago by Narg +31 / -0

An excellent, fairly short red pill on the subject.

https://kirschsubstack.com/p/the-covid-vaccine-all-risk-no-benefit

Executive summary

There are literally hundreds of “black swan” data points consistent with the hypothesis that the COVID vaccines killed more people than they saved.

Here I summarize for you five different data types that make this crystal clear.

1. The anecdotes

Personal stories are my favorite because they cannot be gamed, they can be verified directly by third parties, and they are often so statistically significant that a single anecdote is sufficient to prove the point. Taken together, they simply cannot happen if the vaccines are not killing massive numbers of people.

For example:

6 members of FDNY died within 3 months of the COVID vaccine rollout. This is unprecedented. Normally, they might see 1 and at most 2 deaths in a year for active duty firemen. If you run the numbers, the chance of this being a “coincidence” is 2.7e-7. In short, something killed a whole lot of really healthy young people and if it wasn’t the vaccine, what was it? It wasn’t COVID and it wasn’t bad luck.

Harry Fisher saw 20 vaccine deaths as a paramedic. Assuming he’s the largest cherry in the probability distribution (at the very tail end of the Poisson distribution of 200,000 people), the mean value would be about 6. There are over 100,000 paramedics in the US. 6*100,000 is a big number. See what I mean about one anecdote? Even after assuming he’s on the far end of the Poisson distribution, this is devastating. And this is just one of hundreds of such stories.

And more including:

Observations from doctors, nurses, and paramedics in the US. The comments are stunning.

• A police officer in a large US metro who reports that “natural deaths” went up by more than a factor of 2 after the shots rolled out. I’m trying to validate those statistics independently now.

Jay Bonnar lost 15 friends unexpectedly since the shots rolled out. Four of them died on the same day as their shot and 3 of the 4 were 30 or younger. Before the shots, his death count was 0. This is statistically impossible (5e-22) and his story is verifiable.

2. The CFR data shows there was no COVID mortality benefit

(more, obviously)