How many Big Tech AI Scientists does it take to open a CSV file?

AI "Scientist" Yann Lecun makes a great case for vaccine data science!

There was an interesting exchange between Elon Musk and Turing award winner¹ Yann Lecun recently.

Link to tweet

Remember, we already learnt in mid-2021 that the vaccine manufacturers knew that the mRNA vaccine cannot confer any lasting protection.

Here is proof:

Link to tweet

Keep this in mind as you read the rest of the article.

As you can see from the red highlight, I was already raising the question about vaccine injuries.

Now, I don’t know about Yann² and the other Big Tech “AI Scientists³”, but if I see the file size of a CSV file increase more than 10 fold in a single year for a vaccine injury reporting database, I would be a bit worried⁴.

Now if the Big Tech “AI Scientists” had successfully opened the CSV file, they would have realized a few things RIGHT AWAY

a) the pro-vaxxers are right, there are some truly crazy VAERS reports because it is a self-reporting system

b) but the crazy VAERS reports only make up a small fraction of the reports. In fact, any self-respecting “AI Scientist” would have been able to quantify this within a day of analysis.

c) once we get past this objection of “crazy reports”, both the quantity and severity of the vaccine injuries in VAERS⁵ suggest a vaccine where the risk is clearly too high, especially since the mRNA vaccine required a multi-dose regimen!

Why didn’t the AI Scientists open the CSV file?

So why didn’t the Big Tech “AI Scientists” get past this objection?

Personally, I don’t think it is THAT hard to explain. You don’t need to go all the way to a “depopulation agenda”.

Also, this “agenda” makes no sense anyway. A Big Tech employee died within 15 days of taking the Pfizer vaccine. If you believe there is some “depopulation agenda”, are you suggesting people are depopulating THEMSELVES?

If you had to choose one anecdote to show to people who are pro-mRNA vaccines

Now suppose you are a very busy AI Scientist like Yann LeCun.

And you see one of the charts produced by OpenVAERS being shared on social media.

You get curious, and you first Google OpenVAERS.

This is what you see:

The time-starved Big Tech “AI Scientist” now thinks that they already know all that they need to know about the subject.

Except that they don’t.

They probably don’t know that all the Big Tech companies actually colluded to suspend people who were reporting vaccine injuries on their platforms.

And they got plenty of help from the supposedly neutral Wikipedia.

In turn, this prevented most regular people from learning about vaccine injuries.

In turn, this also prevented Doctors from pooling resources together and trying to figure out what was going on.

In my opinion, this has already turned into a health disaster⁶, but as long as the Big Tech “AI scientists” pretend nothing untoward is happening, they can also avoid taking any responsibility for the entire fiasco.

There is of course the usual question - should the Big Tech companies take ANY responsibility, given that they are all private entities, and they will probably claim that “no one forced people to use their services”?

I don’t have any answer to that.

But it does lead to another question: why should other people vaccinate their children to protect the children of Big Tech employees, if Big Tech employees actually argue they do not share any responsibility in actively and vociferously publicizing injuries to children from these vaccines?

A note to Big Tech AI Scientists about the “Science Based Medicine” website

If you are a Big Tech “AI Scientist”, you might read this article and start doing some research.

The odds are pretty high that Google will point you to a website called “Science Based Medicine” for some kind of a “debunk” of various things I have stated in this article.

I encourage you to go and read all their debunks first.

Once you are done, read these two articles:

Because you are an AI Scientist, I actually expect you to do proper data analysis and make proper data-driven counter-arguments for my “Case for Vaccine Data Science” series. If you are not sure where to start, I suggest this article:

And if you do come up with some counter-arguments, please let me know in the comments section.

1. The Turing award is like the Nobel Prize of Computer Science.

2. I use Yann Lecun only as an example and don’t know much about him. From what I have seen on Twitter, he seems like a pretty open minded person who doesn’t mind going against the narrative at least in his field.

3. I put this phrase in quotes all over this article because the typical Big Tech AI Scientist is someone who works on a regular basis with all the tools I have used for my analyses - SQL, pandas, spaCy etc. So they should be able to critique my articles if they are actually interested.

4. People in the West may not have noticed this.

But two more things happened around that time which made people even more suspicious:

a) the use of Ivermectin was being suppressed right before the vaccine rollout, but it made no sense because people were still getting infected, getting hospitalized and even dying, AFTER taking the vaccine.

And PfizerMectin had not yet been approved!

So what exactly were people supposed to do if they got severely infected after taking the vaccine? Should they just rather die than use a drug off-label?

b) the FDA slowed down the approval of all the non-US vaccines. If your perspective on COVID19 is purely from living in a Western country, you probably never even knew this story

In case you are wondering, the FDA approval still matters for international travel. Most airlines only allowed FDA approved vaccines as proof of vaccination.

5. At least one country was honest enough to point out that the mRNA vaccine was directly causing death.

6. For now, I still stand by my numbers and think the mRNA vaccine causes “only” about 1-in-100K deaths. This is already too high and not acceptable.