Individual ICD-10 code malignant cancer causes of death can be explored using record-level source data, but cannot be explored using confounded CDC bundled data offered to the public by the CDC. Source data offers the ability to study any permutation of variables. In order to visualize these permutations, I created spreadsheet generators of graphs and tables. More than 30 linked sheets, the cells of which contain large formulae of conditional counters, were created in a single spreadsheet file that also contains the source sheet for each year. Each source sheet contains about 60,000 records; and each record contains more than 300 columns.

Begin cancer analysis

Below is a view of all deaths involving “C” codes, known as malignant neoplasms, or cancers, in Massachusetts. There are three (3) types of graphs and it is important that they be viewed next to each other. If a signal is hidden in one, it may be visible in another.

There is no discernible signal in any of the three (3) types of graphs above. The green bars comprise eleven (11) groups of ages and a group of totals of all those ages, which is in the bottom right grouping. 2022 all appear lower than the others because they only represent 7.5 months of data, whereas the other years are full years.

In the top left graph of royal blue bars, you will see Jan 1 through Aug 15 of each year. This offers an equitable viewpoint from which to view 2022 in context. Notice that there is no signal for cancer deaths in the blue bar graph.

The line graph in the lower left represents a full year for each of 2015-2021 and then 2022 through August, but you cannot see each year’s line because there is no significant signal anywhere in the graph.

Now, let’s look at the ICD-10 codes for cancers specific to blood and blood forming organs such as lymph nodes and bone marrow. The signals hidden in the full boat of “C” codes above become quite clear when you have record-level source data and can separate them out by individual ICD-10 codes.

C77.9 is malignant lymph node cancer. Here is an example of not being able to see a signal in one graph or set of graphs (green bars to the right), but easily seeing a signal in the others (royal blue graph and line graph to the left). It often takes multiple views to find signals, which is why there are three (3) adjacent graphs.

Sometimes there is an age component to “vaccine” adverse event causes of death and sometimes there is not. In depictions like the one above, there will be noted an “Age Spectrum Profile” consistent among certain codes. The profile is listed in a little box to the far right and has red and/or blue arrows in it. The terminology used to describe patterns includes “Split Profile,” “Positive Profile,” “Confused Profile,” or no profile.

Here, in lymph node cancer, there does not seem to be an age component as the age profile is confused. Some transition up and others transition down from 2020 to 2021. Again, this is where the other views (graphs) are important to have on the same page.

Please look at the top left royal blue bar graph. Although 2020 is ~70% greater than 2015-2019, this may be due to the first large wave of excess deaths in very old people. There were several thousand excess deaths of older people in spring 2020, who perhaps died “with” lymph node cancer rather than “from” lymph node cancer. Or perhaps the spring covid wave accelerated those people’s decline and eventual deaths in 2020.

Turn attention now to the royal blue bars for 2021 and 2022. This is a raging signal 2.8X normal after the “vaccine” had time to do its magic, subduing the immune system that normally handles malformed cells (malignancies). I will not pretend to know the mechanism. All that needs to be known is that it happened and it’s obvious to anyone by these graphs. If someone wants to argue correlation vs causation, he can buy a ticket to that science show AFTER the “vaccine” is halted. Right now, res ipsa loquitur is in play. The thing itself is the teller of the story and these excess deaths tell a story indeed.

Looking at the bottom left graph of full years on a line, again, 2022 and 2021 are outrageous compared to prior years. This is NOT normal.

The lymph isolates and neutralizes foreign bodies. The nodes form types of white blood cells as part of your immune system. If someone is immunosuppressed due to an injection of something, one can imagine the lymph nodes swelling, tumorigenesis occurring, and perhaps other secondary neoplasms occurring as a result. This is likely not isolated, but is rather systemic and only manifesting first in the most likely locations and then who knows where next. Conjecture leads to hypotheses, experimentation, and eventually conclusions. Do we have time for all that?

Let’s take a look at another signal carved out of that “C” code bundle. C79.5 is a malignant bone marrow cancer code. Marrow also is strongly associated with the blood because it produces red and white blood cells and platelets - all three are major blood components.

This time, the age spectrum profile shows a complete and full positive profile. Every age group older than 44 shows an increase in marrow cancers from 2020 to 2021.

Very interestingly, 2020 appears to have no signal in the royal blue bar graph in the top left. 2021 and 2022 are clearly well above normal by 25% or more.

To be clear, this equates to about 120 excess deaths from marrow cancer in 2021 and 2022 as compared to what would be “normal” based on 2015-2019 and even 2020. That’s 120 more deaths than normal.

Remember that Acute renal failure analysis identified more than 1,500 excess deaths in 2021 and 2022. If no overlap, marrow adds another 120, plus another 60 excess from lymph node cancer. Once circulatory system and blood related deaths are added, you will see hundreds, if not thousands of excess deaths since the “vaccine” began.

Looking at the line graph in the bottom left we see that 2020 is in the mix of red years 2015-2019, whereas 2021 and 2022 are clearly well above.

THIS IS ANOTHER HEALTH DISASTER AND STRONG SIGNAL.

In order to depict a very difficult-to-find and hidden cancer signal, below is one more specific code. Some cancers take longer to show up. I know not nor understand this field and simply show you this raw record-level source data.

This ICD-10 code C91.1 B-cell lymphocytic leukaemia was missed many times when looking at graphs separately. Together, we see that there is absolutely no signal at all in the age group green bar graphs. Since the 2022 green bar only represents 7.5 months, it is useless in this green bar set and we cannot see anything happening. 2021 had no signal at all. The blue arrows indicate a downtrend from 2020 to 2021 much like all-cause deaths, covid deaths, and pneumonia deaths.

However, if we look at the royal blue bar graph in the top left, we see that 2022 seems to be raging at a 40% greater rate than normal. To be sure, let’s look at the line graph of the full years. 2022 is indeed raging above others. There appears to be about 40 extra deaths in 2022 thus far compared to normal just from this one ICD-10 code in this partial year of 7.5 months.

This is one to keep an eye on and to alert scientists and doctors to look out for this type of cancer.

It is interesting that the blood and blood forming cancers seem to be raging. In the next article, the blood transport system (circulatory system including its center, the heart) and the blood itself will be depicted. Hint - it’s all about the blood. The “vaccine” is wreaking havoc with the blood, blood transport system, blood forming organs, and blood-related neoplasm malignancies.

I do have my opinions regarding mechanism of action, though I’m not qualified to debate people, nor do I want to. However, I want to caution people on a few things. Throughout covid, there have come to be many armchair scientists, epidemiologists, and statisticians, et al. The herd tends to grab a popular topic and run with it. Here, I will demur about two of those topics.

Spike Protein

Having looked through thousands of death certificates and correlated several hundred VAERS records to them, I found that the time between “vaccination” and onset of symptoms was very often minutes or hours.

Many times I asked scientists to explain the length of time from injection to spike protein expression on the surface of a cell. Just a wild-assed guess on my part compels me to believe it cannot happen in minutes to hours in a minimum quantity required for reaction. Ergo, according to my guess about timing, at least half of the deaths cannot be from the spike protein.

The question remains - How long does it take from 1) injection to 2) LNP travels to blood, to 3) LNP transfection of cell, to 4) LNP shell decay or however long it takes to release mRNA, to 5) RNA transcription, to 6) RNA translation to generate spike protein, to 7) spike travel to cell surface, to 8) expression of spike, to 9) T-Cell reaction to expressed spike, to 10) cell attacked and killed in quantities that result in clinical symptoms? How long does that all take? Shouldn’t scientists know by now? It’s critical to know.

Transfection alone can occur in minutes as we know from several studies, one being found here. If more than 50% of deaths from the “vaccine” are occurring in response to transfection alone and not the spike protein, then I have an issue with 99% of the studies and chatter being made about the darned spike protein. If no one is looking at simple transfection being the cause in more than 50% of the deaths, then I don’t understand science and scientists at all. I’m an engineer. Engineers design and fix things. Sometimes an engineered solution is ugly to look at and was born from trial and error instead of calculations and modeling. But if it works, it works.

It seems to me that scientists are programmed to follow a slow method to analyze the heck out of the cause of the fire while the house is burning around them. The engineer already got everyone out of the house in five different ways and preserved the maximum possible chattel from the house. Scientists I know will not be pleased that I put this in print. ;-) However, it is a generality that is true far more often than not.

Yes, I believe the spike protein is causing some long term damage and it is important to study. But simple transfection causing Tcell attack is a likely culprit for much death and it does not seem like anyone is looking at it. WHY NOT???!!! Spike rant over.

Myocarditis

Myocarditis (MyoC) is definitely occurring and it is caused by the “vaccine” as admitted by the FDA and CDC. However, I believe team reality is too focused on talking about MyoC and not much else. The numbers for MyoC, including subclinical events, are large, but the rate of deaths is relatively low when taken on its own.

There are many types of battle strategy in offense and defense. Each depends on your capabilities and your opponents’ capabilities. Frontal, flanking, choke point, multipoint, and envelop are a few. Fragment strategy is when you pick off smaller pieces at a time in the eventuality that the enemy will break at some point.

MyoC is but a fragment of the overall circulatory system attack that is occurring from these transfecting “vaccines.” MyoC might even be only 1% of the overall deleterious effects from the “vaccine.” Older people are dying of heart attacks before they have the opportunity to develop full MyoC, thus creating an Age Spectrum Profile skewed toward younger people falling victim to MyoC and older people falling victim to other types of heart attacks.

If myoC is only 1% of the overall circulatory system attack from the “vaccine,” then people who only talk about myoC are diminishing the safety signal public message by two (2) orders of magnitude. If 1 in 40,000 were to die or be seriously injured involving myoC from the “vaccine” and you talk only about that, you are missing the fact that 1 in 400 are dying or being seriously injured from circulatory system attack as a result of the “vaccine.” Team reality is using an offensive strategy of “fragment” against ourselves. An enemy can withstand the pricks of 1,000 needles, but melt the needles into a dagger and it becomes a formidable weapon. In other words, myoC is but a pin prick in data compared to the circulatory system damage that, when documented and presented, should shut this “vaccine” down immediately for all ages.

I wish that whenever people mention myoC resulting from the “vaccine,” they would always add, “but that’s only one percent (1%) of the circulatory system attack from the vaccine.” This simple phrase, added every time will carry much weight in public opinion as people know more and more who have serious adverse events and death.

The two peeves are completed and it’s time to close out this cancer article.

Conclusion

Hopefully, you now see the value of record-level source data, the difficulty of finding hidden signals, the specific Symptom Spectrum Profile and Age Spectrum Profile of diseases, and the res ipsa loquitur nature of the information depicted herein.

Additional information and opinion

UPDATE: 10 November 2022 - Dr. Gerry Waters provided the most interesting and likely diagnosis of these non-tumors a few days ago. He called them “granulation tissue.” Thank you, Dr. Waters.

At the end, you will see tumors the likes of which no doctors I’ve spoken to have ever seen before. Again, res ipsa loquitur arises as an appropriate Latin phrase. The thing itself is the teller of the story. Please, attorneys, do not think that I am referencing the elements of a type of negligence tort. I am merely stating that in the correlation vs causation argument, the causation is clearly established in the final pictures of this article. I don’t care whether they are abscesses or tumors. There were no labs done. But it is clear to me there is something very wrong occurring from these “vaccines.”

Before the pictures, I offer my opinion here. After listening to scientists, researchers, and professors for ~6 hours per week for about 6 months, I believe what I believed before listening to them. They and pharma scientists and politicians and the public do not know anything in certitude. Everyone has a theory, which is a guess. Relative to cancer, there are many theories involving cell nuclei infestation by the spike protein, interference with interferon, and other interference in DNA repair that would cause a cell to become cancerous. Of course, I have little expertise in what I’m writing right now, but I know what I listen to and I respect the scientists to whom I’ve listened. There is no disrespect in the prose of this paragraph. This is merely an acknowledgement of how science works. I believe we will not know anything to a great degree of certainty for another five (5) years regarding the mechanistic action of the spike protein or the simple transfection of LNP’s. It does not matter in the course of making an equitable decision between the public interest and individual liberties at this moment because at this moment, the evidence of injury and the evidence of the cause of that injury is overwhelming. The forthcoming article on the circulatory system and blood will demonstrate such res ipsa loquitur evidence. STOP THESE “VACCINES” NOW. They are killing people without a doubt. Any assertion that the “vaccines” are saving people is in great doubt based on all the currently available data.

Closing

Thank you for reading and I apologize for the difficult-to-look-at pictures at the bottom of this article. They must be shown in order for people to realize the connection between the “vaccine” and cancers or growths. If it happened in one arm from dose 1 or 2, then I can understand naysayers stating that it is a coincidence. But both arms at the very sites of injection of both doses is beyond doubt of a reasonable person. Something seeded tumors or abscesses in the arms of an immunocompromised 92yo woman. They grew extremely fast over a 5-month period until she died from other natural causes. There are no incisions in the pictures. These tumors had breached the skin and were growing outside her body for months. The pictures are real. I know the chain of custody from photographer to me; and I have the death certificate of this person.

John 14:6

Coquin de Chien’s Newsletter

Hidden CANCER signals = FOUND