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Numbers versus Words versus pictures

If a picture is worth a 1,000 words, is a graph worth a million?

This is the graph that in 2015 caused me to see through the "vaccines-have-saved-humanity-from-disease" myth and diverted my life-path.

The graph shows that these diseases were falling dramatically before any vaccination was used.

Scarlet fever is the perfect control, as no vaccine has ever been invented for it, yet the data shown proves the disease has followed the same exponential decline.

What caused the declines?

It was awareness of hygiene, clean water and sewerage that caused these declines.

Plumbers not vaccines.

Town planners not doctors.

It was the labourers who built the water pipelines and those who managed and cleaned the sewers, not nurses.

Not this...

But this...

Let's look at this recent graph on sudden deaths within Germany, paying attention to two key dates.

  • When did Covid start?

  • When did the vaccination programme start?

Do we rest our case?

I wish.

Sadly war has never been waged on us involving facts, data or good science.

It has been an information war using hypnosis and the most advanced propaganda techniques, run by government, military intelligence, media specialists and industry to produce 'religious-extremists', to whom science has become a concept, and real data an inconvenience, to beliefs backed by words not numbers and fact.

Yet, in this case, the picture wins.

The data presented graphically is demystified

The graph speaks the truth that we need to know.

We have written, spoken and screamed millions of words in apparent vain.

A graph is worth a million of these words.

Thank you for your analysis and graph Tom Lausen

History of Silence

Is this graph a surpise?

Not at all.

In the late Spring and summer of 2020 many of us 'medical activists' or 'freedom fighters' were number crunching the government data via the excess death figures, proving covid was not the direct killer that the media and government were having us believe.

We now know 'end of life' protocols had been adapted using Midazolam to end many of our elderly's lives prematurely.

The almost misuse of ventilators and the accompanying drugs in hospitals amounted to euthanasia in plain sight.

Those of us deep in the research of prior vaccines, and aware of the wider agendas at play in 2020, warned of the danger of the upcoming 'vaccines'.

Once released, we analysed the ingredients calling foul on illegal and undisclosed ingredients.

We screamed about

NOTB alongside other entities published every Yellow card report screaming as loud as we could that the data alone was shocking yet we knew the data represented barely 10% of the real injuries and deaths.

Yet most of this fell on death or frightened ears.


We were heavily censored and not seen as authoritative sources.

We called for Doctors to assist us in speaking out.

Very very few did.

They were afraid.

They had money, jobs, pensions, private school funds and most of all, status to lose.

More are now speaking out.

We salute you.

We need more of you to speak out, and quickly.

Here is an excellent overview of the crisis and new data produced form Germany by Tom Lausen, explained by the Midwestern Doctor

The Most Important Dataset of the Pandemic Was Just Released

Germany Has Provided The Means To Quantify The Human Cost Of The Experimental Vaccination Program

"...Most sane people believe that the burden of proving safety should lie on the party conducting a questionable action, rather than their victim. For example, if a criminal shot someone, the prosecution would not be required to prove that the victim’s sudden death after the gunshot wound was not just a spontaneous coincidence, a result of extreme stress from the situation, or due to a pre-existing medical condition.

Unfortunately, the pharmaceutical industry has been able to establish a special type of privilege within the legal system which has made it very difficult to demonstrate that vaccines (along with many other pharmaceuticals) can ever be at fault for anything. Because of this, we recently had a flood of experimental vaccines mandated upon the population, which were never tested for safety (despite many serious concerns with their design), whose (likely fraudulent) clinical trial data was never made accessible to the public. We then had, as far as I know, the most aggressive propaganda campaign in history, and I watched the majority of my colleagues lose the ability to recognize any problems related to the vaccines. Instead, they developed an almost surreal religious devotion to the coming salvation of the vaccines becoming available.

Once the vaccines entered the market, a variety of red flags began going off indicating that these vaccines were killing people, and rather than address these concerns, the government—in concert with the media—chose to deny any of this was occurring. Instead they mandated the vaccines upon the entire population. I was understandably worried that the vaccines would cause problems and tried to do my part to head this off in 2020, but I did not expect anything on the scale of what we have encountered since then.

I personally became involved in all of this because soon after the vaccines entered the market, I began to have many friends and patients reach out to ask me if the vaccine could kill as someone they knew had had a tragic sudden death after vaccination. Once the magnitude of the problem dawned on me, I realized that even though my available options were limited, I could at least do my best to document each case sent my way so that someone would bear witness to what had happened. Otherwise, the dead had no voice. Beyond knowing I had a duty to compile this list however, I was not sure what to do with it. Later after someone kindly helped launch this Substack, I decided to post it, it ended up being seen by a lot of people…and that is how I ended up writing here. Because of how long it took to verify each case, I realized that I had to end it a year in (at which point I knew of 45 individuals who had either critical or fatal injuries of a similar nature in close proximity to vaccination). Since that time, I still continue to hear reports I periodically document and discuss. For example, a good friend is a nurse in a cardiac unit and has told me many of the patients she sees now with heart failure are much younger than they were a few years ago. I previously advised her against getting the vaccine due to her history of rheumatic fever (a condition where the immune system attacks and damages part of the heart). This was because I had noticed both COVID-19 and especially its vaccine seemed to cause inflammatory flares at previous sites of injuries or inflammation (Lyme is also known for doing this). The vaccine also has a remarkably high rate of exacerbating pre-existing autoimmune conditions—such as the 24.2% rate found in a recent Israeli survey which is comparable to what a few colleagues have observed, and I suspect exacerbation of preexisting inflammation within the circulatory system, like what this study of 566 patients found, is a key mechanism behind vaccine deaths. A month ago, the nurse informed me that she had decided to vaccinate and had subsequently developed a heart condition. Additionally, she shared that the same had also happened to her mother following vaccination and that her sibling's partner is suffering longterm complication from a large stroke that immediately followed receiving a booster.

Looking back on it, the thing I found the most disappointing about my own documentation project was that once it went viral, it should have triggered the drug regulators evaluating the vaccines to take preventative action. Instead, due to the meticulously planned campaign of mass censorship that we all found ourselves in, more red flags than I can count were ignored by the “very rigorous” vaccination surveillance systems that were allegedly ensuring there were no safety issues with these vaccines.

Because of the immense power behind the medical-industrial complex, those debating this program have been stuck fighting an uphill battle. However, despite the immense degree of corruption, withholding of critical data, and censorship, these vaccines are dangerous enough that more and more evidence is nonetheless emerging of their danger, and the public is beginning to recognize it (e.g., consider how resistant the public has been to get COVID boosters). The previous article here discusses polling that shows this appears to be happening:

The Forgotten Side of Medicine

We Now Have A Clear Estimate Of The Rate Of Vaccine Injuries

Throughout my entire life, I’ve always found that trying to argue against Big Business is like fighting with one or both hands tied behind your back because large industries can always co-opt and buy out every authoritative source on the subject, and then censor any inconvenient facts that still persist. This is an immensely challenging situation to be …

Read more

9 days ago · 396 likes · 397 comments · A Midwestern Doctor

Immediately after it was published, I was informed by a reader that possibly the most important dataset over the last two years was released today. For those interested, much of the context for today’s article can be found in the article above.

German Data

One of the depressing realizations one gains from studying the evidence-based literature is discovering how many issues exist within it and how difficult it is to know which data sources can be trusted. One of my favorite authors, Dr. Malcom Kendrick, devoted a book to addressing this subject and shared a pertinent anecdote for today’s events:

“In truth, the figures on vaccine damage are exceedingly difficult to analyse, because causality is very difficult to prove on a case by case basis. However, when it comes to negative findings I always like to go to Germany. It has been demonstrated many times that the Germans are the most likely to report negative findings accurately. Yes I know, terrible racial stereotyping, but a fact is a fact. What do the Germans have to say on the matter? “Between 1978 and 1993 approx. 13,500 cases of undesired effects resulting from medications for vaccinations was reported to the Paul Ehrlich-Institute [PEI]…the majority was reported by the pharmaceutical industry. In 40% [5,400] of these cases the complications were severe, 10% [1,350] pertained to fatalities on account of effects.”

Additionally, as I learned from Kendrick, since early 2001, the federal infection protection law has mandated that specific severe vaccine injuries be immediately reported directly to the PEI (Germany’s equivalent of the FDA for vaccines and biologics). The German’s list of reportable injuries is much broader than what I have seen acknowledged by many other countries (e.g., those which are possible to receive compensation for within the United States) and includes the previously discussed complications of DPT along with many of the reactions typically associated with the COVID-19 vaccines. However, while that historical trend exists, Germany has not been one of the best countries for reporting COVID vaccine injuries (which I suspect is due to the political direction their government has moved in).

(The above graph illustrates why many of my German friends are not happy with their government) Because of their tradition of reporting adverse reactions to vaccination, Germans (or at least some of them) have been more resistant to toeing the party line on concealing the dangers of the COVID-19 vaccines than citizens of many other countries (my friends there are enraged by the egregious concealment of critical safety data by the German government). In turn, some of the most critical vaccine data available comes from the German people as many of them have retained their intellectual integrity throughout the pandemic.

For instance, although autopsies should always be conducted on those who died suspiciously after vaccination, due to the global climate of intimidation against conducting any type of research that challenges the COVID vaccine program, it is rarely done. Instead, almost every autopsy has been performed by a few brave pathologists in Germany, and I have tried to detail the pathologist’s work throughout my postings (e.g., see here).

Some of the most important contributions of these autopsies include:

•Demonstrating that there is highly unusual tissue inflammation in those who died after vaccination. Pathologists had not observed this phenomena before the COVID-19 vaccines, and stated the inflammation they observed would likely be fatal.

•Demonstrating that the COVID spike protein could also be found in the tissues of those who died. •Demonstrating that another key part of the SARS-CoV-2 virus was not present, meaning that the only possible source of the spike protein was the vaccine.

The most definitive study on this subject was recently completed. It examined 35 individuals who died within 20 days of vaccination, and after a lengthy examination excluded 10 who had a potential cause of death other than vaccination. Of the remaining 25, most had causes of death that frequently been linked to vaccination, and of those, 5 were found to have myocarditis potentially linked to the vaccine, and in 3 cases the vaccine was determined to be the definitive cause of their myocarditis and death. These results are very important for convicting the vaccines if it can also be proven that a large number of unexpected deaths are occurring following vaccination.

The Religion of Data

Every group needs to have some type of ideology to unite behind. Presently, one of the fixations within the Western world is on more and more data being the solution to everything. In turn, there are many concerns with this approach (e.g., it dehumanizes people, its “necessity” is used to justify violating citizen’s right to privacy while collecting it and it is being used to build an infrastructure that controls every aspect of our lives). Although data is often claimed to be our salvation, and I will admit sometimes is quite helpful, in many other cases, it fails abysmally to address our problems. A major reason for this failure is that no one wants to critically analyze data this is gathered if that data suggests we should stop supporting an entrenched financial interest. I am most aware of this in healthcare, as I know of numerous systems which were designed to analyze electronic medical records and either identify which pharmaceutical worked best for a condition, or if a pharmaceutical (or vaccine) was unsafe. Not surprisingly, all of these systems were never adopted, and the endless data we collect in healthcare (e.g., all the diagnostic coding data which medical insurance providers provide as a condition of reimbursement to healthcare providers) is rarely utilized to improve the public good. However, while prevailing biases frequently produces flawed analyses of data, data itself does not lie and has immense potential to expose dangerous health care practices if people are willing to look at it. The largest insurance provider in Germany, BKK, provides coverage to approximately 10.9 million Germans. A board member, Andreas Schöfbeck, observed some very concerning signs in their data, and unlike everyone else, had the courage to disclose it in a letter to the German government (e.g. he addressed the PEI), after which, he was dismissed from his position. The BKK dataset (discussed by Jessica Rose) was the one which showed 2.05% of vaccine recipients subsequently sought medical care with a healthcare provider (others estimated it demonstrated 3.5% were struggling with persistent vaccine side effects). This concerning safety signal prompted one German Political Party, the AFD (a controversial right wing party that has gained appeal through opposing the mandates) to file the German equivalent of FOIA for the rest of the insurance data (note: a few friends in Germany who are lifelong liberals joined AFD told me they believe “conservative” is a more appropriate label for AFD). Recently AFD obtained AOK Sachsen-Anhalt’s data, which once analyzed, demonstrated that many of the conditions we associate with COVID-19 injuries noticeably increased when the vaccination campaign initiated. According to this interview and Google translate, the conditions which rose five-fold or more were:

AFD’s FOIA Request

AFD also submitted a FOIA request to KBV, the association which represents all physicians who receive insurance in Germany and thus the largest insurance dataset available. The official response to their FOIA request reads as follows (this was my attempted translation):

”Dear Mr. Sichert, With an e-mail dated October 27th, 2022 you have submitted an application to the KBV after the Freedom of Information Act (IFG) on access to data of the diagnostic codes by law health-insured patients. You have asked for the following data packages to be sent by email: Package 1: Filtering of all insured persons who will have an ICD coding in 2021 had vaccine side effects. You have applied for the codes T88.1, T88.0, U12.9 and Y59.9 apply. Package 2: You request the transmission of a list of the frequency of all ICD codes of the insured persons from package 1 for the period 2016 to 2021, if proportionately available also for 2022, by quarter. The data query should after your request with V and G. Package 3: You request the transmission of a listing of the frequency of all ICD codes of all insured persons - without the number of insured persons from package 1 - for the period from 2016 to 2021, if proportionately available also for 2022 quarters. The data query should be done with V and G. The KBV corresponds to your application and includes a tabular overview as an attachment with the desired information about the frequency of at. The abbreviations used in the table have the following meaning: nw= number of patients with “vaccination side effects” (defined according to requested Filtering 1 in 2021) onws= patient numbers "without vaccination side effects" (defined according to requested Filtering 2 in 2021) Quarters of the reporting period are set as YYYYQ (e.g. 20214=Q4 2021). The small font size in the printout is again unavoidable, since we want to make it easier to compare wanted to show all quarters of the two comparison groups on one sheet (the pdf document). However, like last time, it can be enlarged.

Today, the AFD hosted a press conference to unveil the data of those 72 million patients (the 90% of Germans with statutory health insurance) AFD had obtained from KBV. This data summarizes the number of times all ICD-10 (an international standard) diagnostic codes were used by German healthcare providers for these patients (outside of hospitals) from the first quarter of 2016 to the first quarter of 2022. Tom Lausen is a data activist who had previously revealed the PEI and the RKI (the German equivalent of the CDC) were concealing concerning vaccine safety data and was allowed to analyze both BKK and AOK’s data. For this presentation, Lausen was able to provide a preliminary summary of the KBV data a few days after it was released:

A rough translation of this presentation can be found here (additionally YouTube now will translate the subtitles). If this video is deleted it can also be found here.

A few of the points emphasized in this presentation include:

•The PEI, the RKI and the German government have failed in their duty by federal law to evaluate COVID-19 vaccine injuries. Many of my friends and readers likewise believe they have done an atrocious job by attempting to conceal the vaccine injuries, and these agencies are frequently chastised by the German people for their conduct. Many of the arguments against the validity of this data must be viewed in the context of the fact it would be very easy to the government agencies to access and analyze this data, but despite many requests to over the last two years, they have all adamantly refused to, which is why AFD had to force them to act with its FOIA.

•It is estimated that 90% of the suspicious deaths that occur after vaccination are not reported to the PEI, and approximately 90% of those reported come from the patient themselves or their relative (which again demonstrates that German healthcare providers are failing in their duty to report vaccine injuries).

•The PEI has nonetheless received over 3,000 reports of suspicious deaths following vaccination, but has refused to perform any autopsies on those deaths. The excuse the PEI has used for their inaction is not having the explicit authority to order the autopsies (which is a spurious excuse). Fortunately as noted above, other groups without any official authority to order autopsies have nonetheless taken the initiative to perform them.

For this press conference, a presentation was put together detailing Lausen’s preliminary findings and the correspondences with the regulatory agencies, all of which can be found here. To the best of my ability, I translated and slightly modified the key portions of the presentation so that they could be accessible to English speakers, but I am certain more will be translated in the upcoming days.

The KBV Data

All of the KBV data can be reviewed with a simple search tool here, although it does not seem to work for certain ICD-10 codes. Due to the importance of this data, for data preservation purposes, I am also providing a copy of the raw data the AFD received:

German data 1
Download PDF • 1.96MB

This PDF file was supplied in a manner that makes the data quite difficult to analyze. Fortunately, one of my readers was able to move the above file into an easily sortable spreadsheet and thereby address some of the challenges with the PDF:

Download XLSX • 3.21MB

Finally, the above sheet was sorted by that reader into a smart spreadsheet which allows you to easily observe which codes had the greatest increase in 2021-2022 (e.g. to sort them or create graphs). For those of you who are data inclined, you will likely want to create this sheet yourself, but for everyone else this is an excellent reference to start with). They were also able to use a script to put about one third of the names for the ICD-10 codes, but since there are fifteen thousand of them, it wasn’t practical for us to manually add in the rest and you will frequently need to directly look up the codes themselves (if a group wants to add the other codes in, I will be happy to repost that). When Lausen presented the data, for each time period (e.g., 2016 quarter 1), he chose to add two different values together (code_20161 and nocode_20161). As best as I can tell from reviewing the FOIA request and the provided data, these categories represent those who also received a vaccine injury code and those who did not (as a result the majority of Germans belong to the “nocode” category). I believe Lausen’s rationale for presenting the data in this manner was that a large number of vaccine injuries will go unreported and many vaccine injured patients are thus within the “nocode” category. Conversely, the total number of medical conditions observed in the country is not dependent upon accurate recognition of vaccine injuries.

Separating the patients by (the somewhat inaccurately classified) vaccine injury status is nonetheless a helpful means for evaluating vaccine injuries (I saw a variety of interesting trends in my preliminary examination). However, for the reasons outlined in this article, for the initial spreadsheet presented below, those result are combined. Additionally, some of the extreme outliers exist because new ICD-10 codes are added each year and thus did not exist prior to 2021/2022. Finally, some of the codes you would expect to have large changes may not show in this dataset if they are codes typically used in a hospital setting as this dataset does not include hospital code submissions.

Download XLSX • 9.92MB

In the coming days, I know many will use this data to verify our work identifying which codes in 2021-2022 had the greatest increase (you can also do that piece by piece with the already available tool), and then cross reference those to the increases reported in VAERS or other datasets. There is an immense amount to be ascertained here, and I believe it represents the credible evidence we have been looking for since the start of the pandemic to have an objective metric for quantifying the impact of vaccine injury. However, it is also critical we determine which of the observed trends are not due to artifacts within the data.

This is probably the most important graph of Lausen’s presentation. We have all heard stories of individuals dying suddenly after vaccination (I’ve even read a report of an individual who appeared to be in good health making a thump in another room and being found dead shortly after by their spouse).

This issue was recently brought to the public’s attention with Died Suddenly, a documentary that effectively brought attention to this issue, but also had factual errors which were counterproductive for persuading the public that this issue is real. However, while some of the proof that Died Suddenly provided to assert the existence of the sudden death phenomenon could not stand up to outside scrutiny, the same cannot be said of the KBV data.

Additionally, one way that individuals have analyzed the unusual changes in health following the vaccination campaigns has been to assess how far they fall outside of the expected range of variation (this was also done for the final spreadsheet). I did a quick calculation for the above graph and found that 2021’s increase from 2016-2020 was 37.7σ, while 2022’s was 41.0σ. This is quite a big deal (the rarity of an event happening by chance increases exponentially as the σ increases). For context, a 7σ event has a 1/390,632,286,180 chance of spontaneously occurring (it is thought to occur once in a billion years), a 10σ event happens spontaneously once every 5.249e+020 years, and a 25σ event happens by chance every 1.309e+135 years (I was not able to find a reference on the probabilities for the even higher σ events observed here).

Given these numbers, it is very difficult to argue that these events were not caused by something. In this regard, we are also quite fortunate that while the vaccines were rushed to the market over a period of time far too short to establish safety, that process still took a year. Because of this lag, it is possible to refute the reflexively cited counterargument that these changes were due to COVID-19 or the lockdowns, as these only occurred in 2020 (the only possible exception I can think of is that Delta emerged near the end of 2020, but the spike started well before Delta became prevalent in Europe later in 2021).

This is a similar graph to the previous one, but include sudden cardiac death, which as many of you know also “unexpectedly” increased. Many authoritative sources have argued Lausen made a mistake to correlate vaccine injuries with the spike in sudden death because very few vaccines were given at the start of 2021 and thus if a correlation was there, it should have been not emerged until the second quarter. For context, this was the rate of COVID vaccination in Germany:

As you can see, many vaccines w