Executive summary
I just got over 100,000 records with over 4,000 deaths from Japan.
I’ve obfuscated the data for privacy reasons and posted it publicly here. It has age as of May, 2025 (essentially a DOB), DOD, and date of each vaccination.
Rules: ChatGPT will judge your entry against my entry. My entry will use multiple methods and may include KCOR, Cox proportional hazards, and Kaplan Meier survival curves. All of these methods show the vaccines are not safe.
ChatGPT analyzed the Japan data
You can’t trust AI to analyze data can you?
The following can be validated with my ChatGPT discussion.
The mortality rate of the cohorts getting each shot was very similar, even though those getting 7 shots had WAY LESS time to die than those getting 1 shot.
You don’t need to be a rocket scientist to figure that one out, do you?
When you take time to die into account, you get this:
See? This is a guaranteed win for any skilled epidemiologist. This is exactly what “safe and effective” looks like, isn’t it?
Here’s what the Cox analysis shows. ChatGPT ran it on the data.
See how safe the shots are? Only a 39% increase in mortality per shot. What could be safer than that??? Gosh, I can’t understand why people aren’t rushing to get the shots.
This should be a piece of cake for epidemiologists to show the opposite. After all, epidemiologists are skilled in the art of data deception.
We input both papers and see what our neutral judge thinks as to which is more likely… that the COVID vaccines were net harm or net benefit.
Since you are on the right side of science and I am, according to Stanford Medicine Professor Konstantina M. Stankovic, a “con man,” this should be super easy. Check out this article: “Stanford Medicine Professor Tried to Dismiss My COVID Vaccine Analysis—Here’s What Happened”
Any takers? Reply in the comments with a link to your submission.
Deadline for submissions: 7/25/2025.
The first winner gets the $2,500 prize!
The Japanese dataset
Also open to infectious disease experts
If Paul Offit, Peter Hotez, etc. want to enter, I’m find with that.
ZDoggMD: you can enter too.
Neil deGrasse Tyson: You can enter too. I heard you say the COVID shots have saved 10M lives.
Dr. Oliver J. Watson: Your Lancet paper must be right since it wasn’t retracted. Now you can prove it with this data that 10M lives were saved. How about it?
Summary
I predict no entries.
I predict that nobody will use the Japan data to submit a paper to the peer-reviewed literature showing that this dataset shows the vaccines are more likely than not, safe and effective.
Nobody will enter because the dataset is so obviously showing that the vaccines are unsafe that they can’t credibly use this data to show it shows the opposite.
I’m doing this to prove a point. When you make the record level data public for the COVID vaccine, all the world’s epidemiologists crawl under a rock and hide from it. EVERY. SINGLE. ONE. This is why all the world’s health authorities keep the data SECRET.
Who is the con man Professor Stankovic?
One thing is for sure… the shots worked or they didn’t. We have the data. We’re about to find out what it really says.
Oh, and if people accept my challenge and LOSE, boy, they are going to look REALLY bad now, aren’t they? That’s why nobody will accept.
Click this link for the original source of this article.
Author: Steve Kirsch
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