The leaked data caused a sensation, but Igor Chudov raises some serious issues. From Chuduv at igor-chudov.com:
The data has huge gaping holes in it and may be doctored
By now, almost everyone has heard of “New Zealand Whistleblower Data.” Many people are discussing it, and I want to weigh in with my skeptical opinion. While I oppose Covid vaccines, I owe my subscribers a duty to report truthfully. My post should not be interpreted as “pro-vaccine advocacy.”
Bad Data and Inconsistent Story
Be aware that the “leaked NZ data” is problematic; even the story accompanying it is less than entirely believable.
I spent an entire day analyzing it.
I downloaded it as a CSV file, uploaded it to my MySQL database server, and analyzed it. As I will show,
- The “whistleblower data” is missing huge chunks of information that should logically be present.
- Liz Gunn of NZ is misinterpreting it by trying to pass normal nursing home deaths as evidence of “super deadly batches” and “mass vaccine casualties”
- The data has problems that are incompatible with the story of its origin. It cannot be a full snapshot from a working payment database. Therefore, the story of its origin is suspect.
- The actual vaccine casualties may reside in the missing pieces of data that the “database” does not provide.
My comment posted on the author’s substack article.
Not being a statistician, I can neither nay or yeah the information given in the so-called data leak or the author’s interpretation. However, we do know that there are across-the-globe excess deaths since the roll-out of the gene therapy falsely called a vaccine. It would be helpful if all the statisticians working individually on this crime came together and worked as a team to form an unassailable consensus.