A DoD Data Fraud? A Conversation with Mathew Crawford
Very convoluted and potentially explosive.
This story is about my conversation with Mathew Crawford, whom I had the pleasure of interviewing for my podcast.
Mathew, a talented “numbers guy” and a very original, soulful thinker whom I love to read, has looked into very obscure DoD medical reports and discovered what potentially looks like a medical data fraud by the DoD. If Mathew’s theory is correct, the most logical explanation for quietly changing historical data would be an attempt to cover up vaccine injury in the military. In other words, a tragedy and a scandal.
The plot is very convoluted. It took me some reading and a long conversation with Mathew to understand it. Once I got it, it all started to make sense, so I am breaking it down for simplicity.
(Note: Mathew’s discovery adds a crazy twist to the whistleblower data that came out in relation to Tom Renz’s DoD lawsuit.)
The Department of Defense has a database called DMED, where they record various military medical events (but not mortality).
In addition to maintaining this database, they also publish an obscure industry journal called “Medical Surveillance Monthly Reports.” The numbers published in MSMR are based on the same DoD database, DMED. The reports can be accessed by general public.
Every year, as a part of MSMR, they publish total numbers for the preceding year and include totals for previous years as well. The reports cover various categories and buckets of data, based on medical billing codes, etc. Some are more transparent than others.
When in 2021 they published their yearly totals, the historical data for previous years was suddenly drastically different from what it had previously been. (As in, the 2016 numbers published in 2021 were different from the 2016 numbers published earlier, etc.) Changing the number for previous years dramatically changed the point of reference for the 2021 numbers. However, contrary to the usual practice of data analysis, no explanation for the change was provided.
The 2021 data (which Mathew believes nobody has bothered to falsify en masse while the data was still coming in) shows an elevated signal for various medical events, creatively distributed among a range of categories of medical billing codes.
Bizarrely, one of the buckets that does not show an increase is Bell’s Palsy, which contradicts the data from the rest of the world. [Note: it originally said “the only bucket” but this way is more accurate.]
To add more complexity to the situation, around August 2021, the DoD migrated DMED to a new server. Mathew believes that in the process, the data was corrupted again, and it is unknown whether the additional layer of corruption was added by accident, or whether it was added to create confusion. It looks like as a result of the server migration, the numbers for previous years were lowered again, but in a way that doesn’t look like the numbers that were previously reported through MSMR.
Meanwhile, in no relation to any of this, several doctors in the military have bravely blown the whistle on the unusual levels of illness they were observing among the service members, with potential attribution to the COVID injections.
In an explosive statement, attorney Tom Renz revealed that he had whistleblower data queried from DMED (the very DoD medical database we were just talking about), and that the data was showing a dramatic increase in health issues in 2021. (See also Sen. Ron Johnson roundtable).
Mathew believes that the (undoubtedly very courageous) whistleblowers queried the data after two levels of corruption of the database had already occurred—so that data was essentially garbage, and the DoD might have set up the trap on purpose—but at the time, nobody knew that—and the whistleblowers thought they were accessing authentic data.
Then a few days after that, the DoD issued a vague statement through PolitiFact saying, “oops, we had a server glitch, the numbers for previous years were really much higher.”
And then the people who were inclined to believe the DoD, believed the DoD (“safe and effective!”) and the people who were not inclined to believe the DoD, concluded that the DoD were probably lying.
But according to Mathew, the argument about the server glitch is a clever distraction because the real fraud seems to have happened earlier, in 2021, in no relation to the server glitch. The server glitch only added an extra layer of confusion.
What is noteworthy is that, if we go with the official DoD story, the glitch happened in August—and for several months, nobody noticed! How interesting!
Mathew believes that this could be one of the largest medical data frauds of our times (move over Pfizer, unless you are complicit), and in order for us to get to the bottom of the scandal, attorneys need to file FOIA requests and try to get a hold of the original data.
Here is the interview!
And of course, you can find more detail and background info on Mathew’s Substack (here, here, here, and here).
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"unknown whether the additional layer of corruption was added by accident, or whether it was added to create confusion. "
Added on purpose and the "accident" part is the same old "incompetence" excuse they wore out decades ago.
How come every single flippin' "accident" or "error" always points the same damn way?
Kinda like the bank, I never "get" extra money!
Thank you for giving Mathew an opportunity to discuss this serious matter in more detail, Tessa. I am planning to recommend the Corona Investigative Committee interview Mathew when I get an opportunity to connect with Reiner. (You’re on my list of recommendations, too :-)