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@BreesAnna First time I’ve seen a cloud drive blocking a document...

It was a very long document re vaccination headlines from around the world.

https://twitter.com/BreesAnna/status/1384763150109716481



Absolutely outrageous.


So I downloaded the PDF and took a look at it. Its 80 MB of screenshots and photos of newspaper articles of reports of people which died because of the vaccine (or at least shortly after having gotten it).

I wouldn't consider it misinformation, but it is misleading.

There can be several causes of serious side effects, most of which I believe to be either contamination, a pre-existing condition which got its last kick due to a component of the vaccine, or something like this.

In any case, the document notes that around 2500 people have died, and according to what I checked in the database of the CDC, now around 4500 have died. This includes those who accidentally fell down the stair after tripping over their cat, but who got their vaccine a couple of hours before, but that doesn't matter.

So from 34,000,000 Covid-19 cases in the US 608,500 died = 1.79%

From 334,927,961 administered doses in the US 4,434 died = 0.0013%

If you are vaccinated you're protected by at least 40% (used to be 90+) against getting infected and if you do, it will me more likely that you won't have to go to the hospital.

There are a lot of people who tend to ignore this comparison, probably because it makes them feel more important to know about these deaths and we, the sheep, just get silently vaccinated, because they tell us to do so.

The point is, that it has benefits, and also some minor risks, to get vaccinated, yet the article attempts to make you believe the contrary, that the risks are too high. So yes, it is misleading, but in a somewhat dangerous way. There are people who are easily influenced by this kind of narrative.

Now, the question is still open for debate: should Google be allowed to decide if content like this can't be shared over their platform.


"It is 80 MB of screenshots and photos of newspaper articles of reports..."

Is there something wrong with VAERS data

https://vaers.hhs.gov/data/datasets.html?




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