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Pasteurizing the Conclusions of an Anti-Vaxxer – Article by Zach Richardson

Pasteurizing the Conclusions of an Anti-Vaxxer – Article by Zach Richardson

Zach Richardson


I had an unfortunate encounter with a friend of a U.S. Transhumanist Party member who was conducting on his page what I call an “anti-vaxxer drive-by”: shooting out some quick chart with poorly interpreted data that seemingly supports the idea that vaccines make you sick / don’t work / are Bill Gates microchips, etc.

The graphic in question was this one:

The chart in question shows a rise in infection at equal rates from those who got both vaccines, and those who did not receive a vaccine at all. The green bar shows amount of cases where no vaccine was received, and the blue bar amount of cases who again tested positive two weeks after the vaccine. What is the implied conclusion, then? The creator of this graphic wants to convey the message: “Why even get the vaccine, if the rates of infection are just as high 20 days after getting it as they are if you don’t get one at all?”

This post is about why his conclusion is wrong, why his analysis is wrong, and why his ilk are not to be trusted.

I was very lucky to find myself with several free hours of time today, as digging into this took some time. I had to type the source link into the browser a few characters at a time, since it was from an image, and the site itself was in Hebrew. I was pleased to find though, that the site did have the data available for download in a CSV format, which is easily importable into Google Sheets.

The data showed weekly stats on 9 age groups, and how many cases there were in three time periods: one to six days from vaccination, seven to thirteen days from vaccination, thirteen to twenty days from vaccination, and cases from vaccinations more than twenty days ago. This sequence is repeated for cases after dose two of the vaccine. Here is the spreadsheet:

I’ve included the last two weeks in this screenshot, and would like to direct the reader to notice a few things that should stick out sorely after a few moments’ study.

1. For the age range 0-19, the number of youths who reported cases was forty times as high as those who did not.

– Were children perhaps just 40 times as susceptible to infection? This would have been interesting for the person looking at the chart to know.

2. The age range 0-19 actually makes up one-half of the total amount of cases reported.

– Maybe it was just that those who signed up for this study all happened to be children who needed pocket money? That can’t be right…

3. For week the week of June 27 (2021-06-27), excepting the youth group for vaccine 1, not a single case was reported during the weeks 1-20 for any group. The next week never had more than five cases for an age group.

– Ah, good news! Perhaps the vaccine was super effective, if only for 20 weeks.

4. It is not reported how many people total got the vaccine who were NOT sick after 20 days.

-Perhaps the data account for all cases, and all those in the study eventually got reinfected?

There are some big problems with this chart, and the first is that this is a HUGE instance of what we call “self-selection bias”.

Unlike lab rats who have no choice in the matter, humans get to choose whether to participate in studies or not. Adults can easily choose to not report when they are sick; people had to voluntarily “select” themselves to be included in this dataset. Children have less choice. Children are in school, and vaccine testing can be conducted just the same way standardized knowledge testing is: get all the students in the same building, line them up, assign each a number, and have every single one tested. I think this is why youth aged 0-19 outnumber those aged 20-90 combined.

Even more important than that, we do not know how many people got the vaccine who did NOT get sick vs those who did not get the vaccine and did not get sick. Assuming Israel gives out 9,000 inoculations a day, the 30-39 year olds in week 07/04 could have been 248 vaccinated people infected out of tens of thousands who received the vaccine. We don’t have a way of knowing and don’t have that data.

The real plot twist though, comes after one digs into the “README” file attached to the study data right next to the CSV file. Here is the relevant excerpt Google translated:

vaccination_without_positive_Sum – number of verified people detected per week and age group Relevant, and who did not receive any vaccine dose. It should be noted that vaccinated who received the vaccine dose The first on the same day that a positive result was obtained are included in this column.”

What does this mean? It means that the “unvaccinated” group were those who ran to the doctor after they got sick, got the vaccine themselves, and were only THEN added into the dataset. They got the vaccine too!

The charlatan that made that chart was trying to make it seem like he was comparing data from two groups in a randomized controlled trial, and concluding that the data showed you were equally as likely to get sick when taking the vaccine as not. What the data really showed is that it is very easy to test children who are stuck doing what their teachers tell them for eight hours a day, and also that when the chips are down and the unvaccinated finally do get sick, they change their mind and run to the doctor to get the vaccine anyway.

As Director of Publication for the USTP, I would like to reaffirm the Transhumanist Party’s strongly-held pro-vaccine stance. There is far too much of this junk science flying around, and I certainly can’t spend the better part of the afternoon each day playing “debunker”, but you can be sure to expect a series of pro-vaccine material to be republished under the Infinity Banner.

Zach Richardson is Director of Publication for the U.S. Transhumanist Party. 

Breaking the Bottleneck: A Synergy of Technology and Medicine – Article by Zach Richardson

Breaking the Bottleneck: A Synergy of Technology and Medicine – Article by Zach Richardson

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Zach Richardson


In March of 2019, I began to have a very strange problem. I was breathing normally, but felt like I was suffocating. The problem became much worse when lying down, but seemed to come and go arbitrarily. Some days it would be really bad, and on others I didn’t even notice it. This happened twice in a week, and I checked with a doctor. He assured me I had anxiety and gave me a prescription for some anxiolytic medicine. I couldn’t breathe, and his solution was Xanax. I stupidly trusted him.

In May 2019, I ended up in the hospital. My body was turning yellow, and my liver, kidneys, and heart were failing. The cause was idiopathic; none of the 7 specialists knew why I was having congestive heart failure. A couple of drugs were tried, but in the end the only solution they said would save my life was the implantation of a mechanical device that would help my heart pump: a Ventricular Assist Device, or VAD.

I was lucky enough to be selected as a perfect candidate for a clinical trial, partially due to being particularly young for having Congestive Heart Failure (CHF). A new version of an already cutting-edge technology would be tested on my body, and the results would be recorded for their study. The machine they implanted was called the Heartmate 3, and it saved my life.

The VAD is currently used either as “bridge” or “destination” therapy, with “bridge” meaning that it is used only temporarily until one can get a heart transplant, and “destination” meaning that one is ineligible for transplant at all, and will have the VAD for the rest of one’s life. Some of the contraindications for VAD implantation being bridge therapy include being obese or over 65 years of age. Luckily, I am not either of those two, and therefore am eligible for a transplant. However, there are two factors that are going to lead to it likely being an extremely long time before a donor heart is available. One is that I am a larger man, standing at 6 feet tall, meaning I require a larger-than-average heart. The other is that I have Type O blood, which is the hardest from the standpoint of receiving an organ donation.

This puts me in a very interesting situation, where I am a young man who may have many years still ahead of him with an implanted device. It may be 7 years from now when I get the call for transplant, or it may be tomorrow. If it happens 7 years from now, there may be therapies that will have been developed that would allow me to regrow my heart, or clone one from my stem cells, and thereby avoid having to be on a cocktail of immunosuppressants indefinitely. Unfortunately, even Athersys only has CHF treatments in the preclinical stage, which means I may have to wait a while. I intensely wish those trials weren’t being constrained like they are.

Having set significant life extension towards the very top of my hierarchy of values, I am extremely grateful that I live in a society where these technologies are available to me. I have a highly personal interest in seeing a society of scientists and biomedical engineers emerge to help develop these technologies! However, part of my situation was just me getting lucky: I had the treatment I needed approved just months before receiving it, and happened to have top-notch insurance.

One unfortunate side effect of having a centralized regulatory system is that the Food and Drug Administration (FDA) is only held responsible for what are known as “Type I Errors”. A Type I error is where the FDA passes an unsafe drug or treatment, leading to harm to an individual or group. Unfortunately, this means that FDA officials do not seem to care at all about “Type II Errors”, where they do not pass a life-saving treatment or drug in time to save someone’s life. The FDA is so terrified of having another Vioxx incident, that FDA officials are overly cautious in approving the use of radically innovative and breakthrough technologies. The fact that these technologies carry some risk is something of no worry to someone who is going to die if they don’t get the treatment. It is much harder to blame the FDA for being too safe than it is to blame them for being reckless.

This is why I am proud to be a member of the U.S. Transhumanist Party (USTP), where science and technology are put at the forefront of American politics. The current bottleneck those like me with CHF face is regulatory hurdles. Article VI, Section VI, of the USTP Constitution states: “The United States Transhumanist Party upholds morphological freedom—the right to do with one’s physical attributes or intelligence whatever one wants so long as it does not directly harm others.” Right now what I and others with CHF would like to do is to get a stem-cell heart. We are being hindered not by direct legislation restricting morphological freedom, but by the far more pernicious hindrance of excessive regulatory burden. The treatments we want are being developed exponentially slower than they could be, because each step of the way has to adhere to draconian testing standards. This means a lot of Type II errors are being committed. We are not being told, “You cannot get this treatment.” Providers are being told, “You cannot provide this treatment.”

In my ideal world, regulatory agencies would work more like Underwriters Laboratories or Quality Assurance International. Leaving regulatory activity to the market, far from the fearmongering of producing dangerous and shoddy drugs and treatments, would instead invigorate the institutions as they would compete to certify the best products and treatments for consumers, since their names and reputations would be on the line.

I believe there needs to be a much stronger focus in regulatory institutions toward the elimination of Type II Errors, because there are a lot of sick people going untreated.

Zach Richardson is a Certified Supply Chain Professional and small-business co-owner producing respirator-style masks to help stem the tide of COVID-19’s spread. His website is isgmanufacturing.com. He is a member of the U.S. Transhumanist Party.