Ever since the height of the PSYOP-19 scamdemic and the rollout of the gene altering Modified mRNA slow kill bioweapon “vaccines,” the Centers for Disease Crimes (CDC) has refused to release their latest cancer data.
If I ask my friend who manages clinical trials for Pfi$er, she will explain that there were a lot of missed cancer screenings and.... wait for it..... the evidence seems to suggest that C0VID causes cancer.
Really. That's their new line. C0VID causes cancer.
Cancer rates will continue to rise if we continue down the RNA injection route.
NAIAD and Big Pharma are all in to keep it going. Based on the fact that they have created a 100% lethal bird flu virus says we are risking the termination on life on earth if we continue down this road. Read what Jon Fleetwood published today. https://thomasabraunrph.substack.com/publish/post/99325298
Caveat: It must be understood that any data that the USG releases cannot be trusted. The Gov't is not going to release any damning data that has not been massaged and heavily "toned down". At at minimum, I would expect the real data to be much worse than reported by at least a factor of 3 to 4... and maybe much worse. There is no way of knowing short of an independent survey that reports the actual numbers. The Gov't cannot allow any report that would "panic" the public and/or result in calls for accountability.
The actual death/disability toll of the plandemic bio-weapon shot is multiple times worse that we imagine and the death toll will only continue to mount as time progresses.
Has it become official yet??? Anytime you give money to anything it becomes a Jabberwokey!!! They constantly "run for the cure" and all we get is more and more cancer!!! The Cancer Industrial Complex does nothing, but brings about MORE cancer!!! It is a cancer creating machine!
"Confounding scientists and baffling doctors" is code that reveals the darkest form of corruption that can exist. The people that use these words are not fit for their profession, and that includes journalists, because they are active participants in "iatricide" (Death by doctor) and "democide" (killing by government agents).
It does not imply incompetence.
It does not imply ignorance.
It does not imply stupidity.
The data has been available for years. Denying the research is collusion.
Remember: "The only thing necessary for the triumph of evil is for good men to do nothing."
These people are complicit in perpetuating the largest manufactured biological killing and injury in history. The fact that BigPharma profits from what they caused is even more disturbing.
Yet if you ask the foot soldiers in Big Pharma, they will explain that they Saved Humanity, and without the vaxx, there would have been a mass die off of humanity. Really.
I had a quick review and will spend time understanding and analyzing your work. I must complement you for your impeccable presentation and clearly understandable explanations and charts.
My understanding, is that Covid-19 jabs were manufactured in different batches, and that mortality and injury differed by batch. https://howbadismybatch.com/ is a website that looked into this.
Would your analysis address or pick up the variable quality of each batch? Or more importantly, could it explain the different results for the different states?
The short answer is: the analysis is not designed to prove or disprove batch-quality differences directly. It focuses on whether the reported state-level RSOS relationships survive reproducible robustness testing, including multiple-comparison control and stress tests.
So if batch quality were a major hidden driver, the question would be whether it produces a stable, robust signal after those controls, rather than just appearing in selected comparisons. That is exactly the kind of distinction the pipeline is meant to clarify.
The state differences are discussed in the Substack, but the main point is methodological: before interpreting any pattern causally, we need to see whether it survives transparent statistical checks.
Question for the community, can you take Ivermectin and Fenbendazole while getting treatment for lung cancer? What if the patient is going through chemo or radiation?
Can you discuss the difference between Menbendazole and Fendbendazole? Thank you.
https://www.2ndsmartestguyintheworld.com/p/fenbendazole-is-the-superior-anticancer
Thank you!
If I ask my friend who manages clinical trials for Pfi$er, she will explain that there were a lot of missed cancer screenings and.... wait for it..... the evidence seems to suggest that C0VID causes cancer.
Really. That's their new line. C0VID causes cancer.
Cancer rates will continue to rise if we continue down the RNA injection route.
NAIAD and Big Pharma are all in to keep it going. Based on the fact that they have created a 100% lethal bird flu virus says we are risking the termination on life on earth if we continue down this road. Read what Jon Fleetwood published today. https://thomasabraunrph.substack.com/publish/post/99325298
Caveat: It must be understood that any data that the USG releases cannot be trusted. The Gov't is not going to release any damning data that has not been massaged and heavily "toned down". At at minimum, I would expect the real data to be much worse than reported by at least a factor of 3 to 4... and maybe much worse. There is no way of knowing short of an independent survey that reports the actual numbers. The Gov't cannot allow any report that would "panic" the public and/or result in calls for accountability.
The actual death/disability toll of the plandemic bio-weapon shot is multiple times worse that we imagine and the death toll will only continue to mount as time progresses.
Has it become official yet??? Anytime you give money to anything it becomes a Jabberwokey!!! They constantly "run for the cure" and all we get is more and more cancer!!! The Cancer Industrial Complex does nothing, but brings about MORE cancer!!! It is a cancer creating machine!
Destroy the Cancer Industrial Complex!!!
I hate how auto incorrect always fucks up everything!!! How useless AI truly always is!!! Garbage in, garbage out!!!
"Confounding scientists and baffling doctors" is code that reveals the darkest form of corruption that can exist. The people that use these words are not fit for their profession, and that includes journalists, because they are active participants in "iatricide" (Death by doctor) and "democide" (killing by government agents).
It does not imply incompetence.
It does not imply ignorance.
It does not imply stupidity.
The data has been available for years. Denying the research is collusion.
Remember: "The only thing necessary for the triumph of evil is for good men to do nothing."
These people are complicit in perpetuating the largest manufactured biological killing and injury in history. The fact that BigPharma profits from what they caused is even more disturbing.
Yet if you ask the foot soldiers in Big Pharma, they will explain that they Saved Humanity, and without the vaxx, there would have been a mass die off of humanity. Really.
This very interesting debate related to Denis Rancourt's paper of 17-million deaths would certainly give them pause for thought: https://substack.com/@denisrancourt/p-140944214
I turned the Kuhbandner & Reitzner RSOS dataset into a transparent, reproducible, robustness‑tested pipeline.
So, guess what happens when you control for multiple comparisons and stress‑test the relationships?
Substack: https://badconcepts.substack.com/p/a-signal-in-the-german-data
I had a quick review and will spend time understanding and analyzing your work. I must complement you for your impeccable presentation and clearly understandable explanations and charts.
My understanding, is that Covid-19 jabs were manufactured in different batches, and that mortality and injury differed by batch. https://howbadismybatch.com/ is a website that looked into this.
Would your analysis address or pick up the variable quality of each batch? Or more importantly, could it explain the different results for the different states?
Thank you, I appreciate that.
The short answer is: the analysis is not designed to prove or disprove batch-quality differences directly. It focuses on whether the reported state-level RSOS relationships survive reproducible robustness testing, including multiple-comparison control and stress tests.
So if batch quality were a major hidden driver, the question would be whether it produces a stable, robust signal after those controls, rather than just appearing in selected comparisons. That is exactly the kind of distinction the pipeline is meant to clarify.
The state differences are discussed in the Substack, but the main point is methodological: before interpreting any pattern causally, we need to see whether it survives transparent statistical checks.
Hey 2ndSG, take a look at this please?
https://normanjamesemf.substack.com/p/ac-dc-and-the-planet-we-plugged-into?utm_source=substack&utm_campaign=post_embed&utm_medium=web
Thanks very helpful. I've had many rounds of chemo & radiation. 😢
Question for the community, can you take Ivermectin and Fenbendazole while getting treatment for lung cancer? What if the patient is going through chemo or radiation?
Thank you for your help.
As per research studies which I previously cited, your outcome chances are greatly improved using these compounds in conjunction with chemo.
Use the archive search feature.
Does chemo do more good than harm?
Thank you
DR SABINE STEBEL SUBSTACK
How to prove with simple quantity theory that the COVID injections did not save lives
Sorli AS (2025). The Discrepancy Between the Number of Saved Lives with COVID-19 Vaccination and Statistics of Our World Data. J Clin Trials. S32:001.
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Wie man mit einfacher Mengenlehre beweist, dass die COVID-Injektionen keine Menschenleben gerettet haben
Sorli AS (2025). The Discrepancy Between the Number of Saved Lives with COVID-19 Vaccination and Statistics of Our World Data. J Clin Trials. S32:001.
https://drbine.substack.com/p/wie-man-mit-einfacher-mengenlehre
Archived 👇
https://web.archive.org/web/20260424145156/https://drbine.substack.com/p/wie-man-mit-einfacher-mengenlehre
Translated 👇
https://drbine-substack-com.translate.goog/p/wie-man-mit-einfacher-mengenlehre?_x_tr_sl=nl&_x_tr_tl=en&_x_tr_hl=en-US&_x_tr_pto=wapp&_x_tr_hist=true