Dr. Malone Says the 'Most Important Dataset of the Pandemic was Just Released' Following Data from Health Insurance Shows 4 Time...
Esteemed Dr. Robert Malone, the inventor of the mRNA vaccines, calls this the most important dataset of the Pandemic. Tom Lausen is a data activist. Via A Midwestern Doctor Lausen previously revealed the PEI and the RKI (the German equivalent of the CDC) w...
Depopulation!
"the inventor of mRNA vaccines"...yikes!
inventor of tech they used, not the vaccines themselves. Still a huge yikes.
He didn't invent the tech used either...but he does generally say what we want to hear. I think the pope goes to him for advice too...
His patents say otherwise, and he wasn't the sole inventor. Let the data speak for itself if you're critical of the messenger.
Well said on both clarifications.
Yikes!
And he's 100% in on the virus being real.
mNRA was hijacked by Fauci and turned into a Bio-weapon!
There goes the insurance costs...
How can anyone budget these days?
That's the run part. You don't.
Sad kek
I personally don't trust him. He is sueing Dr.Breggin who is a Godly man that fights for people. Something is just off with him.
I don't trust him either. I think DR. MALONE IS CONTROLLED OPPOSITION.
A limited hangout for sure. His mission is to appease us, but maintain the reality of the virus.
Spot on. Dr. Judy Mikovits said if she ever saw him she would ask: WHY DID YOU INVENT THE mRNA SHOT?
Yes...sleazy if you ask me...and greedy...he is sueing the gov't too.
And he dissed the documentary: "Died Suddenly".
The most important information is Insurance Statistics? That is NOT CORRECT!
Previous discussion on the German KBV data
Here are three files (this link expires in 25 days; plz lemme know if it doesn't work). The .xlsx file has the raw data, the .txt file is the German ICD codes, and the .csv file contains the results, sorted in descending order by -log10(p-value).
If anyone knows what "code" and "nocode" means in the data, please reply.
Analysis steps:
Stack the data and add together the code and nocode numbers for each quarter and ICD-10 code, and then take log2 of this sum to standardize it.
Join in the German ICD-10 code definitions (they are a bit different from other ICD-10 versions).
Split the data into wide form with one row per quarter, creating 15,650 columns for each of the ICD-10-GM code definitions
Create a binary variable "covid19_vax" with value 0 for all quarters prior to 2021 and 1 for all 2021 and 2022 quarters.
Perform 15,650 t-tests with the binary variable and adjust for multiple testing using false discovery rate (FDR).
Screen for effects that are positive and significant according to FDR.
I'm using JMP software (Response Screening platform), which is way more convenient than Excel and great for graphics and stats without any coding.
The signals light up like a Christmas tree with hundreds of significant differences, including the R9* death codes in the OP plot.
It's okay, the white hats have deemed that the deaths of these people were acceptable in the name of waking people up.