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Of Optical Mice and Men: A Steve Kirsch Story

Thank you Steve for all that you do.
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This is an incredibly important 22 minute testimony by Steve Kirsch made on 4th March 2022.

Kirsch provided testimony to the Pennsylvania state Senate, as part of the Expert Panel Discussion on COVID-19 and Medical Freedom hosted by Pennsylvania Senator Doug Mastriano.

I have followed Kirsch since he exploded onto the scene in June 2021 and have read a fair bit of his material, but I still got a lot out of this testimony.

If you have never heard of Kirsch before, you are in for a crash course.

If you search his name, in any search engine, almost everything that comes up is defamatory. Kirsch has been flying over the target for quite some time, and as he says in his testimony, he got Malone to first wake up.

What’s stunning about this testimony is that Kirsch doesn’t read from notes. He has become such an amazing master of the subject matter that its all there and ready to come out.

I want to use this testimony as the backbone of this article, so that I can hang a collection of thoughts and links onto its branches. I hope this testimony and article can act as a red pill for some people. I want to produce material that if shared and consumed can help to shift people towards awakening.

Let start off by saying that Kirsch invented the optical mouse, how cool is that?

I’m now going to reflect on several of his talking points in no particular order, and mix in my thoughts on some of these threads:

Tyson & Fareed

Kirsch mentions how these two doctors figured out a highly effective treatment protocol very early and how they were ignored. They have written a great book all about it. Well worth supporting.

Overcoming the COVID-19 Darkness: How Two Doctors Successfully Treated 7000 Patients : Tyson, Brian, Fareed, George, Crawford, Mathew

410,000

Kirsch talks about VAERS showing 10,000 deaths in the US so far and if you use an Under Reporting Factor (URF) of 41x you get 410,000 likely deaths in the US so far from the jabs. This can be supported 13 different ways now.

I would ask you to think about this number against the backdrop of the CDC claiming that there are ZERO deaths caused by the jabs.

Someone is lying.

41x URF

The URF is a big deal. It helps us understand the scale of what’s going on. Without it we are flying blind about how many people are really dying or getting injured. What is “reported” is always just the tip of the iceberg. The URF helps you understand the total size of the iceberg.

However, VAERS is 41X underreporteda number computed based on the CDC’s own methodology. When I contacted the CDC asking them if I made an error in my calculation, I just get silence. No reply. It’s a conversation ender. This is the same treatment they gave to Aaron Siri when he computed the URF. They refuse to talk to me, they won’t reply to Siri, and they refuse to supply the “correct” number to any reporters who ask about this. When I try to ask anyone in Congress to ask the CDC for this number, I just get hang ups. Nobody wants to know.

An understanding of the logic behind the 41x URF is found here, on page 52, of this great paper by Rose, Crawford, and Kirsch.

Use of a single URF for VAERS

Because we used anaphylaxis, the event “most likely” to be reported into VAERS, the URF we calculated in this paper is a minimum URF for all adverse events. This means that it can be used to conservatively estimate any adverse event including death.

Our assumption that anaphylaxis is the “most likely to be reported” symptom is due to:

1. Obvious association with the vaccine

2. Required by law to report 100%

3. All HCW's know about VAERS

By contrast, death is less reported because:

1. no obvious association (it happens later)

2. HCW don't think they need to report (since the party dealing with the death didn't inject the vaccine)

3. The HCW handling the death may not even know about the vaccine

4. Few consumers know about VAERS (to directly report)

5. HCW reluctant to report (don't want to make vax look bad)

6. Most people, including doctors, don't think the vaccine can cause death, so why make a VAERS report that would just falsely alarm people. For example, the CDC can't find a single death caused by the vaccine. So, a busy doctor is going to have less incentive to report.

7. There is no incentive for consumers to report to VAERS (it is not required, it is hard to do, and there is no reward)

Therefore, the URF for anaphylaxis should be a LOWER bound for URF of other symptoms including death and using 41 for death should provide a conservative estimate.

This is why the CDC itself uses anaphylaxis in their papers (such as their 2020 paper, The reporting sensitivity of the Vaccine Adverse Event Reporting System (VAERS) for anaphylaxis and for Guillain-Barré syndrome).

Note that the earlier 2015 paper, Safety monitoring in the Vaccine Adverse Event Reporting System (VAERS), doesn’t mention this method and instead describes a more limited technique: Disproportionality analysis.

TrialSite News

Kirsch mentions the document he initially wrote that led to the Weinstein and Malone discussion and published on TrialSite News.

TrialSiteNews - Transparent coverage of clinical research

TrialSite News has been an excellent source of quality information for me and a site well worth using and supporting.

Here is the 268 page document he was referring to that led to his scientific advisory panel of 14 running for cover (shame on them). Last updated 25 May 2021.

Should you get vaccinated? (trialsitenews.com)

And here is another document he and his team have produced last updated 28 July 2021.

Vaccine safety FAQ - Google Docs

Scott Davison: CEO of One America

Kirsch references the Indiana “insurance company exec” that disclosed the 40% jump in death that they were seeing.

His name is Scott Davison. Here are some direct quotes from Davison.

Indiana life insurance CEO says deaths are up 40% among people ages 18-64 | Indiana | thecentersquare.com

“We are seeing, right now, the highest death rates we have seen in the history of this business – not just at OneAmerica,” the company’s CEO Scott Davison said during an online news conference this week. “The data is consistent across every player in that business.”

OneAmerica is a $100 billion insurance company that has had its headquarters in Indianapolis since 1877. The company has approximately 2,400 employees and sells life insurance, including group life insurance to employers nationwide.

Davison said the increase in deaths represents “huge, huge numbers,” and that’s it’s not elderly people who are dying, but “primarily working-age people 18 to 64” who are the employees of companies that have group life insurance plans through OneAmerica.

“And what we saw just in third quarter, we’re seeing it continue into fourth quarter, is that death rates are up 40% over what they were pre-pandemic,” he said.

“Just to give you an idea of how bad that is, a three-sigma or a one-in-200-year catastrophe would be 10% increase over pre-pandemic,” he said. “So, 40% is just unheard of.”

Bradford Hill test for causality

Kirsch mentions Bradford Hill causality criteria. There are 9 and all of them are met. Here is an outline of 5 of them (page 33):

Our symptoms meet all nine of the Bradford-Hill criteria for evidence of causality. 5 are listed below that are appropriate for vaccines (per WHO guidance).

You cannot infer causality from data unless you satisfy all these conditions (known as the Bradford-Hill criteria):

1. Temporal relation: the patient did not have the condition BEFORE the injection and the condition is new AFTER the injection. Note the condition could be an exacerbation of an existing condition, e.g., worsening of insulin resistance.

2. Strength of association: the rates should be higher than normal and the absolute numbers are large enough that it wasn’t just random small numbers chance 3. Consistency: The results are consistent (e.g., it isn’t just from one region or reports all from the same doctor or one batch of drug or happened in the first week and not any other week)

4. Specificity: The event shouldn’t occur on its own or as a result of just the action of getting an injection or visiting the doctor, e.g., anxiety could be associated with the vaccination itself and would thus be not specific to the injection. So it should be a reaction that is specific to getting vaccinated such as a severe headache that starts within hours after the injection

5. Biological plausibility: The mechanism of action of the vaccine for how it harms patients should be able to explain the outcome. For example, warts aren’t caused by vaccines. However, a wide range of neurological and cardiovascular events are within scope as are organ failures including multiple organ failure. Dysfunction of the brain, heart, and lungs, especially are suspect. Suicides can be triggered by vaccines.

Maddie

Kirsch discusses the Maddie de Garay story.

If you are looking for evidence of fraud within the Pfizer trial for kids, you don’t really need to look any further than this story.

Help us spread the word about Maddie de Garay and the Trusted News Initiative

Maddie de Garay, a 12-year-old participant in the 12-15 year old Pfizer trial was paralyzed less than 24 hours after her second shot. She’s now on her way to being a quadriplegic. In the trial, they reported her injury as “abdominal pain.”

The FDA, NIH, and CDC never investigated this case and they refuse to discuss it. This shows not only clinical trial fraud but corruption at the very top of the FDA, NIH, and CDC. Nicole Scott wrote on Twitter: “To not properly report her injury is not only clear negligence, but reeks of malfeasance. Those responsible should face criminal charges.”

Primary Pfizer trial

Kirsch discusses the fact that more people died in the “vaccine” group than in the placebo group. All cause mortality is the only way to understand the types of trade-offs you are making with a widely used intervention. Killing more people than you save should be an automatic disqualifier for any intervention. Not with these genetics. Not with these people.

To understand Pfizer’s malfeasance with their primary trial, I would recommend watching the CCCA video. It’s the best video on the subject (38 mins).

CCCA presentation: "More harm than good" is superb (substack.com)

22,000 to 1 = 150,000

From the Pfizer data directly, we can see that to “save” one Covid life you need to inject 22,000 people.

Based on that formula the best that you could have hoped for is to save 10,000 Americans in a year against the backdrop of about 3m deaths annually.

Kirsch and his team estimate that to save those 10,000 lives you would end up killing 150,000 Americans. This is using Pfizer’s own numbers from their primary trial.

American calculation

Let’s pause for a moment and think about the three numbers that we have.

410,000 death estimate. 150,000 death estimate. Zero death estimate (CDC).

Which number do you think is true or likely to be true.

Personally, I think that the 400,000+ number is closer to the truth. But let’s do this thought experiment reasonably conservatively. I’m going to assume that total jab death in the US since they started jabbing is 250,000.

Total US population is 334m.

76% of US population has had at least one dose so far, or 252m.

So, 250,000 divided by 252m equals 0.10%.

Or 1 death per 1,000 injections.

Just a reminder that the circuit breaker or “stopping criteria” used to be 1 death per million. So, it’s 1,000 times above the previous danger point.

Australian calculation

We have been keener than most with 86% of the population taking at least one dose.

That means 22m have had an injection.

Based on our 1 in 1,000 calculation that suggests 22,000 thousand deaths so far.

The official number of deaths “likely to be related” to the jab is 11 from 792 death reports.

The TGA closely reviews all adverse events after COVID-19 vaccination where a fatal outcome is reported. Read more about this process in a previous report. Since the beginning of the vaccine rollout to 6 March 2022, about 54.6 million doses of COVID-19 vaccines have been given. The TGA has identified 11 reports where the cause of death was linked to vaccination from 792 reports received and reviewed. The deaths linked to vaccination occurred after the first dose of Vaxzevria (AstraZeneca) – 8 were thrombosis with thrombocytopenia syndrome (TTS) cases, 2 were linked to Guillain-Barre syndrome (GBS) and one was a case of immune thrombocytopenia (ITP).

The 11 deaths likely to be related to vaccination occurred in people aged 34–81 years old. There have been no deaths in children, adolescents or younger adults determined to be linked to COVID-19 vaccination.

Someone is lying.

Global calculation

About 64% of the world has had at least one dose, that’s about 5b people.

Based on a 1 in 1,000 (0.1%) death rate, that’s 5 million people have been killed with some variety of these injections.

I know that you can make all manner of adjustments such as not everyone is using Pfizer, AZ and Moderna, and the risk profile of other jabs is likely lower etc. But you get the basic idea. The totality of evidence is pointing towards a current running death tally that is several million and counting, and this doesn’t even touch on the much greater issue of sickness and long term injury and disease that these poisons are causing. That count is in the 10s (maybe 100s) of millions.

God help us all.

1,000 subscribers

On a final note, this Substack just crossed over 1,000 subscribers. That’s a decent milestone considering these articles just started out as a way of helping family and some friends.

I want to thank you all for reading and sharing the articles, for sharing personal stories with me that have helped me better understand our new world and for being an important reason that I have chosen to keep going with this “resistance” work.

A special thank you to Dr. Toby Rogers and Dr. Monica Hughes (Australia) who have each promoted the work to their audiences and helped to build my subscribers.

Lies are Unbekoming is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

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