Sept. 23, 2024 - Viva & Barnes
01:21:06
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| Time | Text |
|---|---|
| Straight. Make sure that I'm... | |
| Facial hair is good. | |
| Good evening, everybody. | |
| It's very much your evening, and it's my late afternoon because I'm on Pacific Coast time getting ready to do something. | |
| It's an interview, a segment. | |
| It's the book of the month with Michael Knowles. | |
| It's going to be amazing. | |
| We're shooting that on Wednesday, and I decided to turn this into something of a longer, let's just say, field trip. | |
| For the homeschooling, and we're going to do something very, very cool this week. | |
| See, I was going to play an intro video, but I just have to rant and rage against the dying of the light. | |
| We're going to talk with Jon Boatman, who has been compiling the statistics of... | |
| Health issues of the last, let's just say, three to four years. | |
| We don't know what the causality is. | |
| Correlation does not equal causation. | |
| We don't know what these numbers are about, what's causing these wild, wild... | |
| I mean, the numbers are shocking when we get there. | |
| It could be something. | |
| It could be COVID infections. | |
| Who knows? | |
| Who knows? | |
| We're no doctors here, and we were told that doing your own research is right-wing extremist behavior. | |
| Lightning's a little harsh here. | |
| But before we even get started, the news of the day, as I'm sure you've all seen, is they've released the, not the ransom note, but they've released the note that the would-be failed assassin, whatever the hell his first name is, Ruth, left, apparently. | |
| And I see a tweet from Don Jr. | |
| Come up on my feed. | |
| And you read something like this. | |
| And I know Don Jr. personally, maybe not as well as anybody else. | |
| I've met him now, I would say, at least a half dozen times. | |
| And he's a good man. | |
| It's a full stop. | |
| He's a good man. | |
| I don't need to compare him to people who are worse. | |
| I'm not going to compare him to Hunter Biden. | |
| Don Jr. is a good man. | |
| And I jokingly say to him that his problem is, I forget who made the original joke. | |
| That he's almost too normal for politics. | |
| Whatever they always try to say about Eric Trump, Don Jr., is actually true of other people. | |
| A little bit of the confession through projection. | |
| Don Jr., avid fisherman. | |
| He likes to hunt, and some people don't like that. | |
| Tough doggies. | |
| I mean, it's not my thing either, but people got to eat meat. | |
| And I don't think people know where the meat comes from. | |
| They think it comes from a shelf at a Walmart. | |
| Don Jr. is a good man, and he lives something of a too normal of a life. | |
| But I know him. | |
| And when you see a tweet like this, it actually upsets you. | |
| Now, it set me off this morning when I see this. | |
| This is Don Trump who says, what the F? | |
| Why is Kamala's DOJ publicizing Ryan Wesley Ruth putting a bounty on my father's head and he referenced a tweet which is no longer available? | |
| We're going to get into that. | |
| And I was going to like, you know, someone was going to screen grab the tweet. | |
| It's just what you do. | |
| I screen grabbed it, but I didn't want to share it because it's so vile. | |
| It's so obvious of a dog whistle as to what it is of the tweet. | |
| But then let's just get... | |
| The tweet came from Scott McFarlane, not to be confused with Seth McFarlane. | |
| McFarlane News, CBS News congressional correspondent, Syracuse University alumni, 90s R&B super... | |
| Don't give a crap like a choice in music, you scumbag degenerate. | |
| Look at what this guy tweeted. | |
| He deletes the original tweet. | |
| And then goes into an updated tweet, which says, Justice Department says this letter was written by Ryan Ruth, who was arrested near Trump Golf Course last Sunday. | |
| And then it has, it says, note, it opens, quote, Dear world, this was an assassination attempt. | |
| By the way, DOJ is still on the fence as to what the motives of Ryan Ruth was. | |
| Other people grabbed it. | |
| I grabbed it, but I don't want to publicize it because it was such a vile, disgusting dog whistle of a tweet. | |
| This jackass, if he didn't know what he was doing, he should be fired for not knowing what he was doing. | |
| This was the original tweet. | |
| New, seeking to get Ryan Ruth held in pretrial jail in alleged assassination attempt against Trump. | |
| I'm sorry, it sounded like from your other tweet, you just said the starting line was, this is an assassination attempt. | |
| Forget that. | |
| You're confused, Scott. | |
| Justice Department alleges this letter by Ruth was discovered last week. | |
| Quote, this was an assassination attempt on Donald Trump, but I failed you. | |
| I tried my best. | |
| I'm not even reading the rest of this. | |
| I will offer $150,000 to whomever can go. | |
| I keep making the joke, people, that it's like the movie SWAT where this criminal drug lord who's worth however many billions of dollars says, I offer you $100 million to anybody who can bust me out of jail and calls out all the nutbags from the woodwork who want to go for this $100 million reward to bust out a criminal drug dealer from jail. | |
| That that guy wrote that letter is one thing. | |
| That Scott McFarlane of CBS News decided to publish the letter. | |
| Everyone's publishing it. | |
| Why not? | |
| Nobody wants to be the first ones to publish that letter. | |
| With the header... | |
| Alleged attempted assassination. | |
| And then goes on to cite it. | |
| Almost as if to say, let me do the advertising for Ryan Ruth that he's not doing for himself. | |
| Scumbag of the earth is what that man is. | |
| He deleted the tweet and then, you know, qualified it. | |
| The first letter was, this is an assassination attempt. | |
| Okay. Can you imagine how corrupt the DOJ is to release that letter? | |
| You do recall when it came time for the transgender... | |
| We have weaponized concealment and weaponized disclosure. | |
| When they don't want to publish what was in the manifesto, they don't. | |
| And they fight tooth and nail not to have it disclosed to the public. | |
| When there's something racist, xenophobic, my goodness, they leaked that manifesto right off the bat. | |
| Anti-Christian, not so much. | |
| Anti-white, illustrating the indoctrination powers of the mainstream media, they suppress that as much as they can. | |
| The DOJ came out and released this letter unredacted, as if anybody needed to see the details in that letter, because they want that to serve as a dog whistle. | |
| For anyone else. | |
| They wanted to serve as the exact same purpose as to why Ruth wrote it. | |
| I failed. | |
| I offer a bounty to whomever can complete the job. | |
| How did that dude know that he was going to fail when he wrote that letter beforehand? | |
| Who knows? | |
| Who was he going to get that $150,000 from? | |
| There's a joke going around the internet, and it's a joke that passed his prologue, that the $150,000 bounty was actually going to be CIA assets. | |
| Remember in the Gretchen Whitmer Fednapping, when the FBI and intelligence was... | |
| Giving prepaid credit cards to the would-be entrapped kidnappers in that plot? | |
| Just financing them left, right, and center. | |
| Here's a $5,000 credit card. | |
| Let me go drive you around and show you how to make bombs and take you to her place and show you. | |
| Where do you think Ruth was going to get that $150,000 from? | |
| Where was he even in his own mind going to get that from? | |
| This was the same guy who was giving interviews, complaining that people wouldn't even give $5 to buy vests. | |
| For Ukrainian soldiers. | |
| When he would go around asking for people to donate, it was upsetting because nobody would. | |
| How selfish are they? | |
| He wants to make the world a better place. | |
| Peace and love, peace and love. | |
| While he arms up and tries to go assassinate Touchwood, who will be the next president of these United States of America. | |
| And the DOJ releases that unredacted, as if to say $100 million to anybody who can bust this drug lord out of prison as he's being transported from one prison to the next. | |
| That's the plot of SWAT. | |
| It's egregious. | |
| I mean, it's not just criminal. | |
| It's criminal. | |
| It's criminal in all respects. | |
| And you see Don Jr. saying, these mother effers are publicizing a bounty on my father's head. | |
| I know people out there think Donald Trump is Satan incarnate. | |
| They compare him to Hitler all the time. | |
| That is someone's father. | |
| That is someone's grandfather. | |
| Donald Trump set aside the fact that you might have been brainwashed to thinking you hate him. | |
| Congratulations, you're a sheep and an idiot. | |
| That is a human. | |
| It seems like civility is a one-way street. | |
| I wouldn't say the right versus the left, but the red-pilled people out there are not calling for the assassination of their political rivals. | |
| They're not calling for the harassment of their family members. | |
| They don't play by the same rules, and it sort of makes for an asymmetrical political warfare landscape where you have people publicizing a bounty on the president. | |
| And 45th and maybe 47th. | |
| And you have good people like Don Jr. who tweet out, like, I have to explain to my son why people are trying to kill their grandfather and why the DOJ seems not only complicit in it, because this is not an act of complicity. | |
| This is an act of accomplice, instigator, promoter. | |
| You put that unredacted letter out there, you fight tooth and nail to hide the transgender kid's manifesto, and then you release this? | |
| Nothing more than a call to arms in a literal sense? | |
| Scum of the earth is what the DOJ is for doing that. | |
| And they know it, but they know exactly what they're doing. | |
| And I'm presuming intent. | |
| They either know what they're doing, or they don't know what they're doing. | |
| And in which case, the outcome is the same. | |
| They should all be... | |
| Disbanded and scattered to the winds like shards of wood, although that didn't work out very well for the last person who said it, so I got something on my arm here. | |
| They either know what they did or they don't know what they did, and both outcomes are equally as awful. | |
| All right. | |
| People, we're going to bring Don Bodwin in a second. | |
| I told him it was going to be a bit of a longer intro because I was particularly enraged about what I saw, but before we even get started, people, you know, talking about corrupt governments doing everything they can to screw everything up and screw your lives up. | |
| I heard some genius talk about how the Feds are cutting interest rates to jack up inflation because you need a certain amount of inflation after two years of record inflation. | |
| Oh my goodness, people. | |
| It's no secret that we live in very uncertain and volatile times. | |
| The dollar is collapsing and faith in our monetary systems are at an all-time low. | |
| While inflation is skyrocketing, no one has a clear crystal ball when it comes to the future. | |
| And the truth is no one really knows what's going to happen. | |
| But it's really important to protect yourself financially. | |
| I give myself the insurance by investing in hard physical assets like gold and silver. | |
| Historically, gold and silver have been one of the safest investments, and it allows me to hedge my bets against runaway inflation. | |
| I urge you to take a closer look at protecting yourself and your investments as well by getting hard physical gold and silver. | |
| The silver is always the nicer one to hold because you can get more of it. | |
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| By the way, disclaimer, past performance is no guarantee of future performance, but you can go look at the historical charts for gold and silver. | |
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| This stream, I should say. | |
| And now we're going to bring in our guest of the hour. | |
| If you don't know who he is, you will know who he is. | |
| He's been on the channel before. | |
| Actually, before I do that, let me just... | |
| I have to make sure that I'm live on all platforms. | |
| If ivermexin and hydroxychloroquine would have been used from the very get-go, millions would be alive today worldwide. | |
| It's been around for decades. | |
| I've never taken any shots and never will. | |
| That is freedoms. | |
| Personal experience. | |
| And I think many of us might agree with that. | |
| They censored and they cost people's lives. | |
| I mean, censorship is not a victimless crime. | |
| Period. Now, I should have made sure that we're live across all of the various platforms of the internet. | |
| We're live on vivabarneslaw.locals.com. | |
| We are live on Rumble. | |
| We're live on YouTube. | |
| And one last one, John. | |
| Sorry, just one last one before I bring it in because I want to bring this in. | |
| I see Ginger Ninja. | |
| Greetings, Viva, Ginger Ninja. | |
| What? Was your Frumbo premium discount code Viva 10 or something? | |
| Yes, correct. | |
| We all... | |
| All we have is all leaked. | |
| The courts have hidden the national transmittal using copyright laws. | |
| I didn't know manifestos were art. | |
| If someone's planning to use it on Netflix, it's disgusting, Ginger. | |
| They all know what they're doing. | |
| All right, let's bring in Jean Beaudoin. | |
| Very French name. | |
| We went over this the first time. | |
| Jean Beaudoin. | |
| There is a famous Jean Beaudoin. | |
| Oh my goodness, how did I only put this together now? | |
| Jean Baudouin, if I remember correctly, Criminal Law. | |
| He did. | |
| He wrote the thesis, like the book on criminal law in Canada. | |
| Jean Baudouin, not Jean Baudouin. | |
| No way. | |
| I'm such an idiot. | |
| Let's put that together. | |
| Jean, first of all, sorry for the long intro. | |
| Thank you for being patient. | |
| Thank you for coming on because we've been talking about this for a while. | |
| For those who may not have seen our first interview, 30,000 foot overview, we're not going to delve into everything, but who are you? | |
| Well, I'm an engineer with an MBA, and I don't know, I'm a generalist. | |
| So I went to law school for a year at 56 during COVID, and they kicked me out for not getting the vaccine. | |
| So I've got a year of law school, which taught me how lawyers are taught. | |
| And that's important to understand how lawyers are taught. | |
| So I get into law economics. | |
| You know, I'm an engineer, so I understand physics and all that stuff. | |
| I'm a generalist, really. | |
| It's hard to explain. | |
| Everybody says, what do I call you? | |
| Analyst? I don't know. | |
| And I hate data. | |
| Everybody says, oh, you're the data guy. | |
| I can't stand data. | |
| I only do it when other people are not doing it. | |
| Well, tell us how you got into data. | |
| Crunching, or I guess it's number crunching, data analysis as relates to stats for COVID. | |
| Because tell us how you got into it and then where we started and where we're at now. | |
| Okay. So I realized right away, I think it was about five days into the purported pandemic, that I downloaded a file from the CDC. | |
| I noticed there were some, the numbers didn't add up between pneumonia and influenza. | |
| And then all cause. | |
| And so when I wrote to the keeper of the record at the CDC, they took the file down. | |
| And when they put it back up, there was no error. | |
| But they didn't change the math. | |
| They changed the data. | |
| And that was a 2014 through 2018 file to make the current numbers look bad for the COVID that people were dying. | |
| It's confusing, and I don't have any proof of it. | |
| But that is how I got into this. | |
| I recognized that they were lying and cheating, and I can't prove it, so I don't generally talk about that particular incident other than to say that's how I got into it. | |
| So I sued the governor over the mask mandate being an engineer. | |
| I understand, you know, it's funny because engineers, they create the specification to design a mask. | |
| They design the mask. | |
| They develop the manufacturing process to make the mask. | |
| They develop the test fixture facilities. | |
| To test the quality control and quality assurance of the masks. | |
| You know what a doctor does? | |
| He puts it on his face. | |
| And they might actually read the instructions on the box first. | |
| Why do people go to doctors and ask them if masks work? | |
| But that's a side conversation. | |
| So I sued the governor. | |
| He was afraid of my particular complaint. | |
| So he rescinded the order for the whole state. | |
| And he reissued it with an exception in paragraph 2b to get around my lawsuit. | |
| And my lawsuit was that I'm deaf in one ear and you're depriving me of receiving free speech from others because I can't see their lips move because you ordered them to cover their mouths. | |
| So in exception, paragraph 2B in order 55, it says, buyer between people hearing impaired, neither of you have to wear a mask. | |
| That was just to dismiss my case on standing because I no longer had a particularized complaint. | |
| So that's how I get into it. | |
| And as far as the numbers, I went to law school for a year. | |
| They kicked me out for not getting the vaccine. | |
| That was at 56 years old. | |
| I'm 60 now. | |
| I would have been a lawyer a year ago, but I got kicked out. | |
| And they said a little girl died on the news. | |
| She was seven years old. | |
| Her name's Cassidy. | |
| She's the first chapter in my book. | |
| My book's over my head here, right there, therealcdc.com. | |
| And I was like, no way. | |
| There's no way a healthy seven-year-old died. | |
| So I got the records, and sure enough, it said she died. | |
| But then I found a VAERS record. | |
| I correlated it. | |
| And I found out she actually reacted to the vaccine in five minutes. | |
| She threw up for eight to ten hours. | |
| I gave her a second one. | |
| She had severe abdominal pain, 103-degree fever, didn't have a bowel movement for three days. | |
| And I believe it's the same girl in both records. | |
| And I have all the death records from Massachusetts. | |
| That's how I got them on a public records request. | |
| Her name is Public, right? | |
| It's in my book. | |
| It's in all my stuff. | |
| Yeah, Cassidy. | |
| I want to pull up an article. | |
| So, hold on. | |
| You say they gave her a second jab within what proximity to the first? | |
| Like, the reaction was after the first or the second? | |
| Well, both, but there's no time frame on the first one. | |
| The second one, she was injected on January 13, 2022. | |
| But the first one was probably, has to be at least two weeks earlier. | |
| I'm going to pull this up and present both sides. | |
| They say, seven-year-old girl who died of COVID laid to rest. | |
| She touched so many lives. | |
| This is from February 11, 2022. | |
| A Massachusetts community is mourning the loss of a seven-year-old girl who died last month from complications arising from COVID. | |
| I want to see if they... | |
| That's right. | |
| And let me see if there was any... | |
| Scroll to the end and just see if there was any... | |
| Update or subsequent clarification? | |
| What did any investigation reveal in terms of her death? | |
| Nothing. I found the VAERS report. | |
| I have all the death records in Massachusetts, so I have every seven-year-old girl in Massachusetts who died in and around that time. | |
| And the other three of the four seven-year-olds, they don't fit the time frame. | |
| Cassidy fits it perfectly, and that's actually part of my lawsuit. | |
| Against the state, the governor, the public health commissioner, the chief medical examiner, and four individual medical examiners for fraud. | |
| I'm asking, is that her? | |
| Because I know it's her. | |
| And they know it's her. | |
| And they fought it, of course. | |
| And there was a motion to dismiss, which was allowed. | |
| And now I'm in the First Circuit Court of Appeals on appeal. | |
| So I believe it's her. | |
| And I'm pulling up. | |
| Let me see here. | |
| I just happened to pull this up from... | |
| How do I bring back the screen once we're already in it? | |
| I want to go with... | |
| Hold on. | |
| I'm going to remove and bring it back in here. | |
| This is a lawsuit that you find. | |
| What is this? | |
| Complaint for temporary restraining order, preliminary injunction, permanent injunction, and other declaratory and injunctive relief. | |
| This is you, John Paul Baudoin, Sr. | |
| What's the date on that? | |
| Is that the amended complaint or the initial one? | |
| I believe this would not be. | |
| It does not say amended. | |
| Okay. Okay. | |
| So that's the August 2022 complaint. | |
| All right. | |
| This was tweeted by a seven-year-old girl. | |
| Seven-year-old girl Cassie Baraka reacted within five minutes of the vaccination and died a few days later. | |
| No mention of COVID-19. | |
| Vaccine on her death certificate. | |
| So what are the details on her death certificate, which we don't know if they correlate, but you presume it is? | |
| Because I have all the records, here's what I can do. | |
| It says exactly in part one of her death record, and that's the causes of death. | |
| Part two is... | |
| Other potential contributing factors. | |
| So part one, complications of coronavirus-19 viral infection. | |
| That's it. | |
| Nothing else. | |
| It doesn't say what the complications are. | |
| It doesn't say ammonia. | |
| It doesn't say anything. | |
| Now, that's Michelle Matthews, one of the named defendants in my case. | |
| Michelle Matthews wrote that, I think it was 22 times. | |
| Where did she write it 22 times? | |
| On 22 different... | |
| Death records. | |
| She's writing... | |
| Oh, I'm sorry. | |
| For different people. | |
| Yeah, exactly. | |
| Sorry. I wasn't clear on that. | |
| No, I thought maybe it was like in her death certificate 22 times for whatever the reason. | |
| No, she's a medical examiner, so that means she does probably close to 400 a year on average in Massachusetts, the actual full-time medical examiners. | |
| And out of those, let's say she certified, what did I say, 22? | |
| I think it was 22. And she always used that same phrase, and nobody else in the medical examiner department in Massachusetts used that phrase. | |
| And on all but five of them, there's nothing else listed. | |
| That's the level of detail I have. | |
| I can do sorts and searches. | |
| I have 1.4 million non-redacted death records. | |
| I'm the only one in the world who's looked at it the way in that manner. | |
| So how did you get the death records? | |
| In Massachusetts, I asked for them. | |
| I did a public records request, and they said, You know, you don't need to do a public records request. | |
| So I just asked for them. | |
| I got the Minnesota ones from somebody who did the same thing. | |
| So she got them from Minnesota. | |
| And then in Connecticut, you're going to like this, but please understand the way I say this. | |
| I am doing a research paper on the regional effects of temperature and humidity versus heart disease for Connecticut. | |
| And so I submitted an application to do a research paper on the regional effects of Climate change versus heart disease in Connecticut. | |
| The research study was approved, and they gave me all the records in Connecticut. | |
| And my incidental findings are that I found all kinds of other stuff. | |
| But I'm not committing fraud because I am doing a research paper on that. | |
| There's a guy at MIT doing it right now. | |
| Okay, that's quite fascinating. | |
| Okay, so you, well, actually just back to Cassidy, her name is Cassidy Baraka. | |
| Yes. Seven years old, passes away. | |
| The death certificate says complications arising from COVID infection. | |
| Yes. And that is all. | |
| In part one. | |
| In part two, it says asthma. | |
| Oh, this is a good one. | |
| Fungal and bacterial pleurisy, which I believe was from wearing a mask six days a week or five days a week, six hours a day. | |
| She ended up dying with, it wasn't a complication of her death, but she died with fungal and bacterial pleurisy, both of which would occur from wearing a mask in front of your face for six hours a day. | |
| Fungal pleurisy. | |
| You've never reached out, or have you reached out to the parents? | |
| No, I was going to, but there is some involvement. | |
| David, I mean, I can only, this is conjecture. | |
| The Department of Children and Families was called two weeks prior to that because an EMT had been in the house and apparently reported some kind of conditions in the house. | |
| I think a lot of junk laying around maybe. | |
| The Department of Children and Families never showed up. | |
| The Channel 5, I think it was, went to her doorstep, knocked on the door to ask her about that after her daughter died. | |
| I mean, these people are evil. | |
| That's an evil reporter who would do that to a parent who lost her child. | |
| To ask, why was DCF making a call here? | |
| They were trying to, I believe, threaten her that DCF's going to do an investigation into you if you don't drop the fact that the vaccine killed her. | |
| But that's just my conviction. | |
| No, for sure. | |
| Do you know if there are other siblings in the house or other children? | |
| No. I don't even know. | |
| Somebody said she was adopted. | |
| I don't know if that's true. | |
| The father was not in the house. | |
| There's no mention of a father anywhere. | |
| No, it's also, it's like impossibly, there's no polite, there's no way to reach out to grieving parents under those circumstances at all. | |
| It's not like your CNN that shows up on the front door. | |
| Yeah. So the court proceedings that we just looked at there, there's an amended version. | |
| This is a request for information? | |
| Well, the adjunctive relief, I want... | |
| I'm asking them to admit the fraud, stop committing fraud, and correct the old records. | |
| And when I say fraud, I mean I found over 100, well over 100, accidental deaths such as blunt force trauma to the head and torso, acute fentanyl overdoses. | |
| They tested dead bodies for COVID, and they called them COVID deaths. | |
| And they ran up the numbers for COVID death to make everybody afraid of COVID. | |
| And I caught them. | |
| So I'm asking them to admit that publicly, make some press releases on that, and tell the people the truth. | |
| Also, correct the records of the vaccine deaths. | |
| And I found many vaccine deaths correlated to the VAERS reports. | |
| Cassidy was only the first one. | |
| There's one, Breonna McCarthy, who was 30 years old. | |
| She was an English teacher in a high school. | |
| And she reacted within hours to the Moderna vaccine with a terrible headache. | |
| She went to the emergency room twice in a few days, and they told her, the emergency room is for COVID patients. | |
| You only have a headache. | |
| Go home. | |
| She was having a stroke that whole time, and she ended up dying from the stroke. | |
| She had seizure paralysis. | |
| She was brain dead within a few days and was taken off life support after a couple of weeks. | |
| Now, what they wrote on her death record is that she died from a stroke that happened from COVID. | |
| But there's a brief report from the Neuro Hospitalist Journal, which is six doctors from Harvard Medical College and Beth Israel Deaconess Medical Center. | |
| The title of the report is Fatal Post-COVID mRNA Vaccine Associated Cerebral Ischemia. | |
| It means the vaccine killed her by stroke. | |
| Every paragraph says the vaccine killed her by stroke. | |
| Yet there's no mention of the vaccine on her death record until a couple of months ago, which is three years after she died because... | |
| A family member had been contacting the state over and over trying to get the death record to reflect the true cause of death, which was the vaccine. | |
| So you have the state telling people that people are dying from COVID by writing it on the death records like Cassidy and like Breonna, that's Breonna McCarthy, when they really died from the vaccine. | |
| And they're hiding the vaccine deaths. | |
| And in some of my other documents and books, I've... | |
| They documented the fact that the CDC has been deleting vaccine as a cause of death from death records, hiding them from the American people, and then lying and saying all they know about is the nine Johnson& Johnson vaccine deaths, which is a lie. | |
| They're caught. | |
| Okay, so for Breanna, did they end up updating her death certificate? | |
| Yes, they did. | |
| Okay, and what did they... | |
| What are they amended to or amended to include? | |
| Just COVID vaccination. | |
| But they put it in front of COVID. | |
| So the last thing listed is the underlying cause of death. | |
| So in the causal chain of events that cause death, you go back to the root cause, they're still saying the root cause is COVID. | |
| Now, in the brief report by the doctors, they stated that she was asymptomatic and tested positive for COVID three months earlier. | |
| It was really four months, but... | |
| Whatever. So three months earlier, they have a positive COVID test. | |
| They're attributing the death as the underlying cause still to COVID. | |
| Now, COVID, I don't know how it can cause a vaccine because if you read through the list, COVID caused the vaccine that caused the stroke. | |
| I know it sounds strange. | |
| No, I know. | |
| I'm just trying to see if I can find anything on Brianna. | |
| And so you got the updated death certificate. | |
| I don't know if I got it. | |
| I had a beer with her dad. | |
| He told me. | |
| It was updated. | |
| I think I actually have it. | |
| You've been collecting this data for a long time. | |
| Since early on. | |
| You mentioned the influenza versus COVID. | |
| Did we talk about this the first time as to how it is the case that influenza Numbers drop basically to zero. | |
| Yeah, but it's a red herring, you know, because even if you take the worst flu year in the past 20, 30 years, it's still only 8% of the COVID deaths. | |
| So yes, they stole influenza deaths. | |
| Yes, they did. | |
| They stole car accidents, motorcycle accidents, fentanyl overdoses. | |
| They killed people in the hospital with certain national institutes of health. | |
| Drug COVID treatment programs. | |
| I'd get into the laws and the dates and what they died from. | |
| They killed hundreds of thousands of Americans, about probably close to 500,000 from hospital homicides to drive up the COVID death numbers. | |
| So yeah, flu is part of it, but it's a real small thing that people harp on. | |
| It's really a red area. | |
| Well, see, even in the worst flu season, the worst flu season I think was, give or take 2018, it was 60,000 to 80,000 flu deaths in America? | |
| Yeah, it was nothing. | |
| It's like 8% of what they purport COVID to be. | |
| So yes, it's true. | |
| But I try to focus on more big numbers and root causes. | |
| And I find that the smaller ones, they're led to believe that and talk about that when the reality is it's only 8% of the deaths, David. | |
| What's the total number of COVID deaths that they're... | |
| Oh, now? | |
| I've lost track. | |
| It's probably like 1.3 or 4 million. | |
| And this is United States only. | |
| I think that's what they're saying. | |
| And it's probably 80 to 90% fraud. | |
| They didn't die from COVID. | |
| They ran numbers up. | |
| And the argument at the time was that the stat was that there were multiple comorbidities. | |
| So that's the average person who passed from COVID had multiple comorbidities. | |
| When you're getting the death certificates. | |
| That is what you're seeing on those death certificates? | |
| Well, if you want to call a comorbidity a fentanyl overdose, I mean, that's not a comorbidity. | |
| That's a lie that they died from COVID. | |
| The problem with writing COVID on a death record where COVID had no causal relationship to the death, okay, is that it is fraud. | |
| Now, I don't care if the CDC in report number three or alert number two that came out in March and April of 2020 that tell the doctors what they can write on the death record. | |
| They actually say right there it should be causal in the chain of events to cause death, right? | |
| It says it in the literature from the CDC, yet because it was incentivized under the CARES Act that if they write COVID, The hospital gets money, then they wrote COVID. | |
| So the pay plan defines the behavior. | |
| You have an incentive pay plan causing the behavior of doctors and people, and they're not going to get prosecuted. | |
| But, David, that's federal felony fraud. | |
| 18 U.S.C., 1030, what was it, 1040? | |
| 1035 and 1040, and 1343. | |
| Those are all fraud crimes. | |
| Fraud and disaster relief, Statements in healthcare matters and fraud by wire. | |
| Those are those three laws. | |
| And we're talking like five-year felonies that they commit every single day. | |
| It's just a matter of custom and practice now. | |
| It's beyond wild. | |
| I remember, first of all, explain your methodology so that people don't call you a nutbag. | |
| You're getting all of the death certificates. | |
| You're extracting the data, then compiling it in a... | |
| According to the columns and the data that is relevant. | |
| Just so people don't write you off as whatever. | |
| How are you doing this? | |
| What is your methodology? | |
| They can't write me off because everything I'm saying is factually true based on official records from these government entities. | |
| And they can verify all of it. | |
| There's nothing I say that's... | |
| I don't get into inferential statistical methods. | |
| I do not do confidence intervals and p-values and talk about propensities and percentages. | |
| Like a lot of the research papers do. | |
| When I show a graph that these are the number of people who died, you use your eyes and you look at it and you see the jump in 21 that did not happen in 20. What happened, my methodology was originally I got all this stuff. | |
| I don't know what to do with it. | |
| I'm an engineer, not a doctor, not a healthcare person. | |
| So I started looking in the spreadsheet and I said, well, I'll look for hotspots. | |
| So I looked for standard deviations above mean for age groups. | |
| Semi-monthly periods in a big matrix. | |
| There were two that lit up in 2021. | |
| First half of October and first half of September. | |
| And that was in the age group of 65 to 74. So I have those hotspots. | |
| Now I've got this huge database of hundreds of thousands of people. | |
| And now I can zone in on that and do a filter and look at 300 names. | |
| I can look through 300 names. | |
| That will take me an hour. | |
| And I can look through what they died from. | |
| And as I'm looking through, it's supposed to be, you know, COVID pneumonia, COVID pneumonia, you know, ARDS, COPD. | |
| That's not what it was in 21. In 2020, that's what it was. | |
| So pneumonia and respiratory were up in 2020, as you would expect from COVID. | |
| But all of a sudden in 2021, there's cardiac arrhythmia, pulmonary embolism, pulmonary embolism, pulmonary embolism, pulmonary embolism. | |
| And when I saw four in a row... | |
| I was like, oh, geez, something's going on here. | |
| And I started looking to the right, and I saw these codes. | |
| They're international codes for cause of death. | |
| And it's how everybody traces the causes. | |
| It's how all the health departments, the CDC, they're not looking for the words. | |
| They're looking for the codes. | |
| And so I did analysis on all the codes. | |
| And I looked at all the J codes, which are respiratory, and all the I codes, which are circulatory, and the D codes, which are blood. | |
| And guess what? | |
| The J codes were high in 2020, higher in excess, but the circulatory and blood were higher in 2021. | |
| Now, I found this out over two years ago and published it. | |
| And since then, I've been getting updates in more states. | |
| So now, like, I have three major states plus Vermont. | |
| And the stuff that I found is just huge. | |
| And the biggest one, David, is sudden kidney failure. | |
| I'm going to bring that up in a second. | |
| I'll bring this up. | |
| Freedom says, this is all old news. | |
| I heard this years ago, Viva, but people don't do their investigation. | |
| I appreciate this is, first of all, it's not new. | |
| I think a lot of it has subsequently been confirmed. | |
| At least the disastrous effects of intubation, I believe, even within the medical community, they acknowledged that that was wrong and that led to premature demise. | |
| I'm going to bring up some of the other stats. | |
| We're going to walk through this one by one here. | |
| Just as a note to that post, yes, we knew all this stuff. | |
| I've compiled factual information that's ready for any court case. | |
| I have in the CDC memorandum 170 enumerated paragraphs of factual allegations with official records, state file numbers, names, what they died from. | |
| And in some cases, I have a 12,000-page medical file. | |
| Where I go through it, and you just mentioned the ventilator. | |
| I have their vital signs every hour for days leading up to ventilation. | |
| 95% oxygen, normal heartbeat, blood pressure, breathing rate, and yet they ventilated them anyway. | |
| So I have proof that malpractice was committed and that they murdered these people because ventilators were incentivized by the CARES Act and by the NCTAP, New COVID Treatment Add-On Payment Plan. | |
| I have to remember who it was that I had the discussion with, who basically confirmed also that the doctors and nurses were doing the intubation in the beginning because they thought it would be less transmissible if they intubated and recirculated the oxygen and that it would be less likely that staff and nurses and doctors would get sick. | |
| That might have been me. | |
| No, no, no, no. | |
| It was a doctor. | |
| Oh, okay. | |
| Because I said the same thing. | |
| A doctor told me that. | |
| They were told, the administrators of the hospitals told the doctors, hey, we're all going to die unless you contain the aerosols to the patient with a ventilator because the CPAP machine does not contain the aerosols to the patient. | |
| And so that's how they convinced the doctors to be selfish and kill the patients. | |
| I will find the person that it was either during a Twitter space. | |
| I can't remember. | |
| I've absorbed too much information. | |
| I've sort of pushed old stuff out of my brain. | |
| Yeah, yeah. | |
| So let me... | |
| This is... | |
| That's cancer. | |
| Cancer. That's cancer. | |
| Yeah. That's lymph node cancer. | |
| Let's... I know we want to talk about this because the term turbo deaths has now been deemed to be an anti-vax conspiracy theory. | |
| I can tell you my theory on the turbo, although I'm not a doctor, but, you know, there's two things that are happening. | |
| One is there are more people dying from cancer, and there are more cancers even in an individual person taking hold. | |
| So somebody's immune system is either downregulated or dysregulated so that the cancer cells that we create every day are allowed to grow. | |
| There comes a point, though, where a tumor, if it's a tumor, It needs a blood supply to grow fast. | |
| So as far as the fast-growing turbo aspect of it, it needs a blood supply to bring nutrients so that it can grow fast. | |
| So now you're talking about what's called angiogenesis, the creation of new blood vessels to feed that tumor. | |
| And guess what? | |
| And this is what I'm writing right now. | |
| I'm telling you, like, an article that I'm writing. | |
| It's not just the malignant. | |
| Tumors, the malignancies, neoplasms. | |
| It's also the benign neoplasms because they need to grow. | |
| They need angiogenesis too. | |
| And there's something called granulation tissue. | |
| If you have a wound or something, granulation tissue starts growing, right? | |
| That's also growing turbo. | |
| So you have three things that are going fast. | |
| Malignant cancer, benign cancer, or benign tumors. | |
| This granulation tissue. | |
| And I'll show pictures of it that are kind of gross in my article when I write it. | |
| It's almost done. | |
| The fact that things are growing really fast, something is creating angiogenesis. | |
| And now I don't like to talk about the SV40 promoter and the genetics that are the DNA contamination that was found in the vaccines by Kevin McKernan and all the work he's done. | |
| But those are the people I talk to often. | |
| I'm going to play devil's advocate, but also just play devil's advocate. | |
| I'm trying to find the exact article, but there was a discussion where they don't call it turbo cancer because that's an anti-vax conspiracy theorist, but they are calling it aggressive cancer, which is politically correct term. | |
| But also there were a number of reports and people were retweeting it, thinking it was an indication of the jibby jab being the culprit, increased cancer in young people. | |
| And so, but most people didn't read at least the specific Daily Mail article or this Yale Medicine, where it talks about increased cancer in young people. | |
| And then we go down, yada, yada, yada. | |
| But it says, but cancers aged 30 to 44 rose 1.7 each year from 2012 to 2019. | |
| The increase highlights the need for more screening in younger women. | |
| The bottom line, this might not be the right, exactly the right article, but what people were saying was the increased cancer in young people. | |
| They were measuring it pre-2021. | |
| That's true. | |
| The argument goes that it was increasing beforehand, and so how does the attribution go to the jab and not a trend that had started almost a decade ago? | |
| Well, I mean, people would like to play in stocks, so if you have your stock go from 1 to 2 to 3, and then it goes to 10 and 20 and 30, they're both going up, right? | |
| But 1 to 2 to 3 is the rate pre-jibby jab, and the 10, 20, 30 is post-jibby jab, and if you put up the graphs, you'll see what I mean. | |
| It was going up. | |
| Yes, it is going up, especially with the processed foods and all the bad stuff we're doing to ourselves. | |
| And the fact that people live longer, right? | |
| So cancers are going to go up because people live longer. | |
| But then you have this crazy, especially Massachusetts, there in the middle. | |
| Like, what the heck happened here? | |
| You know? | |
| So actually, we'll look at this. | |
| So you've compiled these... | |
| These are not from death certificates, but from medical records? | |
| These are death records. | |
| These are death records involving the prefix code C77, which is attributable to secondary malignant neoplasm of the lymph nodes. | |
| So they died with lymph node cancer. | |
| Well, this is still a wild increase. | |
| Let me explain that. | |
| Here's what I think is going on in Minnesota. | |
| I think they had a bunch of lazy old medical examiners who didn't do a good job writing death records. | |
| And when they hired younger people who started doing a better job, as the older guys retire and the younger guys come in, they just start writing more stuff on death records because it's absolutely impossible to have that growth rate in the 2015 through 2018. | |
| That's what I think happened in Minnesota. | |
| The data is not what people think it is. | |
| It does not have the integrity and truth and fact that people think it has. | |
| You have to come up with the human reasons behind the anomalies in the data. | |
| Well, okay, but then if there's human error in the anomalies... | |
| Yeah. So maybe they hired more people who like to write lymph node cancer? | |
| I don't think so. | |
| You have to be reasonable, right? | |
| So anybody can say anything. | |
| Nobody can prove anything. | |
| But you would have to be, we have to use the reasonable man's standard of law, right? | |
| Would any reasonable person believe that lymph node cancer isn't rising in 22 and 23? | |
| And maybe a little bit in 21. I mean, it's... | |
| No, but then they're going to say, if I'm playing devil's advocate again, I would say that the increase that we're seeing 2021 to 2023, we basically saw 2015 to 2017. | |
| And if we go to, let's take the other one down here that we just saw. | |
| The other two states are better. | |
| So Massachusetts and Connecticut do show an incredible increase. | |
| In 2023 to 2023. | |
| All right, let me also play devil's advocate because I have to. | |
| They'll argue that it's as a result of inflammation from COVID infections itself, which might even make more sense because of the amount of people that were, in fact, infected with COVID as basically everybody. | |
| Yeah, well, I mean, if people want to think that, you can't fight that one except to say you're nuts because all the people who didn't get vaccinated are not having the cancers. | |
| And what stats do you have, or how are you able to tally that? | |
| There is no way to determine, if I add this back, the amount of vaccinated among the deaths, is there? | |
| Actually, the Connecticut Memoranda Series Volume 2 that I put out about five or six weeks ago, I have over 100 vaccine deaths where I have the vaccine dates in there. | |
| I have 14 people who died on the same day of vaccination, 36 who died the day after, 51 who died two days after, and then I have a certain number that died within 30 days, and then I compare that with the number of people who would normally die within those 30 days in Connecticut, and it's much higher. | |
| So, you know, over a thousand people died in Connecticut alone, but I have the names of people in there. | |
| I have what they died from, and I have the vaccination dates. | |
| I'll bring up acute renal failure. | |
| We're going to have the same discussion with this as with the others. | |
| Let me zoom in. | |
| We can definitely see it. | |
| Interesting on this one, pretty much. | |
| I mean, you can deduce whatever you want from the number, but it's clear that there's less in 2023 than in 2022. | |
| Yeah, so this is the biggest killer. | |
| People need to understand that sudden kidney failure. | |
| That means you didn't have a problem before. | |
| It's not chronic. | |
| Chronic is N18. | |
| This is N17, acute. | |
| So you didn't have a problem. | |
| All of a sudden you have a problem and you die with this ailment. | |
| What this translates to and extrapolates to is 155,000 excess acute renal failure deaths alone in the United States going down to ages of teenage years. | |
| They killed a lot of people. | |
| And I say they killed because This can only have been done by man. | |
| This was not done by COVID. | |
| I have some really complicated graphs we won't get into here that show that it did not happen in the first wave of COVID, except in Massachusetts where Beth Israel Deaconess Hospital and Medical Center was the trial for remdesivir. | |
| They had a lot of... | |
| I would say I'm a step ahead of you. | |
| That was going to be my next question. | |
| Let me just bring it up because AI generated a very interesting answer to this. | |
| According to systemic review of meta-analysis of randomized clinical trials, remdesivir treatment likely has little to no effect on the risk of acute kidney injury, a.k.a. | |
| in COVID-19 patients. | |
| So the AI is telling us that there's no acute renal failure with remdesivir, but I'm fairly certain I'm going to have to go find something that confirmed that that was one of the known potential side effects. | |
| Well, it was, but let me... | |
| This is interesting. | |
| People get mad at me, especially those involved in remdesivir lawsuits with Gilead. | |
| I'm not saying it's remdesivir, but something happened in hospital, okay? | |
| You go in, and on a positive COVID test, they put you on remdesivir. | |
| Now, I do have a couple of medical files that are a couple thousand, actually, one's 4,000, one's 6,000 pages. | |
| And the creatinine levels, liver enzymes, there was no problem after the remdesivir. | |
| The levels kicked up after vancomycin. | |
| And what happens after you go on a ventilator, you get an infection. | |
| And if it gets into your blood, you go septic. | |
| And what they give you for sepsis is vancomycin. | |
| Every time somebody was, of the five files I have, all five had vancomycin. | |
| All five died of acute renal failure. | |
| Two of them had remdesivir. | |
| Three of them did not. | |
| Two of them had baricitinib, which is an immunomodulator. | |
| And the other three did not. | |
| And one of them had neither. | |
| They all had vancomycin. | |
| They all died of renal failure, and none of them were vaccinated. | |
| Yeah, but... | |
| That's only five, but, you know, it doesn't... | |
| They all had COVID. | |
| Oh, they all had COVID, yeah. | |
| They all had COVID, yeah. | |
| But that wasn't it. | |
| It was the best. | |
| People who stayed home didn't die from renal failure from COVID. | |
| Nobody that stayed home died from renal failure from COVID. | |
| Only people that went to the hospital and got the NIH drug treatment program. | |
| Died from renal failure in the hospital. | |
| But David is a second signal. | |
| And this is a really complicated thing where COVID is seasonal, right? | |
| So it's more in the winter than the summer. | |
| So it turns off and on in the seasons. | |
| More pneumonia deaths occur in the winter than in the summer. | |
| So if you get COVID or you get pneumonia thing, you go to the hospital, you get put on all these drugs, and you die from renal failure. | |
| So more renal failure deaths happen in the winter than the summer. | |
| As a secondary effect, because you're being treated for COVID, you have more dying in the winter than the summer. | |
| But that's in 2020, right? | |
| And it continued through with these peaks that are going up. | |
| But in 2021, it didn't return to baseline in the summer. | |
| In the summer of 22, it didn't return to baseline. | |
| In fact, in the summer of 2021, it was higher, and the baseline was higher in the summer. | |
| And in 22, it was even higher, and in 23, it was higher. | |
| So what does that mean? | |
| There's a secondary signal that's linear. | |
| So you have a seasonal sine wave, right? | |
| A seasonal death sine wave. | |
| And then you have a linear signal. | |
| And the linear signal is the uptake of vaccine. | |
| So there's two things going on. | |
| One thing, people are dying when they go to the hospital. | |
| They're dying from renal failure. | |
| And another thing is potentially the vaccine involved. | |
| And it wasn't COVID. | |
| And I prove it in the graphs. | |
| It was not COVID. | |
| Let me again play devil's advocate. | |
| Has there been any explanation that it might be increased alcohol consumption during the stress of the lockdown? | |
| I'm trying to think like a scoundrel. | |
| I'm actually Googling it as we talk. | |
| Yeah, but you forgot one thing. | |
| You forgot the Perseid meteor shower in August. | |
| Maybe that was it, David. | |
| Well, no, I'm sure they were drinking, they were stressing. | |
| Okay, so the renal failure correlation is actually... | |
| I mean, stunning. | |
| Let me just bring this back up here. | |
| I'll tell you how stunning it is. | |
| It's the greatest life loss in 100 years in the United States, including the purported COVID deaths, because those deaths are over 80. And these are younger people. | |
| So the life years lost from acute renal failure is bigger than H1N1, bigger than Hong Kong flu, polio, smallpox. | |
| The only thing bigger in the United States in the last 100 years is World War II. | |
| How come nobody's talking about this? | |
| What is the average age for the renal failure deaths? | |
| I didn't do it that way. | |
| I used individual age groups and I used the average within the individual age groups and looked at the differences. | |
| So I don't have that calculation. | |
| It's complicated. | |
| It's one of those complicated ones. | |
| There's definitely an increase across the board from 2020 to 2021. | |
| 2021, they didn't have the jab just yet. | |
| I didn't send you the other graph. | |
| So when I divide by the number of total all-cause deaths, that's called, I call it the, oh, I forget what I call it. | |
| It's the propensity of cause. | |
| That, when you do that, 2020 goes to nearly nothing. | |
| No change. | |
| Because there were an extra 9,000 people who died within nine weeks, mid-March to mid-June in Massachusetts in 2020, those people died with a lot of extra stuff, including sudden kidney failure and pneumonia and heart attack and everything else went up during that time. | |
| So it artificially increased many causes of death. | |
| So when you adjust for the prevalence, prevalence of cause is the variable I created for that. | |
| So the prevalence of cause is not there in 2020. | |
| For Connecticut and barely there for Massachusetts because of that trial for remdesivir. | |
| Okay, interesting. | |
| Let me add this one up here. | |
| Not stop screen, add screen. | |
| This is the excess deaths totals. | |
| Yeah, by state. | |
| Is this, if we're going to say that one is the most shocking that you've discovered in your compilation, is this it? | |
| Yeah, yeah. | |
| If you divide by the total population of the United States compared to the population of these three states, you get 155,000 excess deaths. | |
| There's 2,400 in Minnesota, 3,500 in Massachusetts, and 1,700 in Connecticut. | |
| I mean, that's huge. | |
| That's absolutely huge. | |
| And I'm very conservative in my method of calculating excess. | |
| I use a linear least square, so how do I say that? | |
| I'm using... | |
| I'm using a trend instead of an average. | |
| I'm not cheating. | |
| When people use a five-year average, they're cheating. | |
| Because if you have a positive slope, the five-year average, of course it's going to be higher. | |
| I'm using that positive slope. | |
| Actually, in Massachusetts, it's a negative slope. | |
| So I use average, actually. | |
| I could have used that slope in Massachusetts, the negative slope, but I didn't. | |
| I used the average in that case because I didn't use the negative slope. | |
| I'm being overly... | |
| Conservative. It's really more than this, David. | |
| So explain to me even the numbers that I'm looking at. | |
| Intercept, slope, average five years, 2020. | |
| That's just showing my methodology. | |
| So there's a macro in spreadsheets called intercept. | |
| And you plug in, say, you know, five numbers and give me the y-intercept of that number and give me the slope. | |
| And then y-intercept plus five times slope is the sixth number. | |
| It's linear least squares approximation. | |
| It's just my method of calculating excess that's very conservative, much more conservative than an average method. | |
| Okay, so the excess deaths, now that was up to and including 2023. | |
| Yeah. Do they give monthly reports? | |
| Like, are we still seeing the excess deaths increasing as months go along in 2024? | |
| It was slowing down last I looked at it. | |
| But when I say slowing down, it's double what it should be. | |
| It's still 100% increase. | |
| People are dying from acute renal failure still to the tune of, you know, thousands of people per year in every state, except maybe Rhode Island or Delaware or something. | |
| And it's in the hundreds. | |
| Okay. Now, in terms of, like, I would say what the most shocking is or the most relevant. | |
| So where are you at now in terms of the numbers and what's the most shocking trend and also where you're at in terms of pending litigation that you've initiated? | |
| So the most shocking trends you just put up there, the heart stuff and the circulatory stuff, I have to redo that. | |
| I haven't done it in probably eight or nine months. | |
| Where I am in litigation, I'm at the First Circuit Court of Appeals. | |
| I just wrote an amicus brief for another case out in Oregon. | |
| A guy asked me to write it, and I think that's really important for Americans to understand. | |
| The Connecticut Memorandum Series Volume 2 that I served a few weeks ago, that's another 171 enumerated paragraphs of factual allegations with all the people who died from the vaccine, like I said. | |
| It also has a legal analysis of involuntary manslaughter and a Connecticut state fraud statute. | |
| The acute renal failure was in late June, early July. | |
| Now, I served these to the Connecticut Governor, Attorney General, Public Health Commissioner, And in the case of the vaccine deaths, I sent the auditors of public records under a whistleblower law, and I cite the law in it. | |
| So all the laws are cited. | |
| The legal analysis is there. | |
| The facts are all there. | |
| There's no question these vaccines killed hundreds of thousands of people in the United States. | |
| And I have the receipts. | |
| I got the records of a lot of them. | |
| And when the CDC is saying only nine Janssen deaths we know about. | |
| And I'm looking at the records that they get from the states that expressly state the vaccine was causal in the death. | |
| They're lying right to my face. | |
| And then I tell them... | |
| The difference between the conclusion of your analysis versus the official stat and where they've identified it as a contributing factor. | |
| Try to not meet someone in the middle, but rather just get that assessment that can't be done. | |
| On how many records is the jab identified as a contributing factor? | |
| So not even a contributing factor, but a cause of death. | |
| Four in Connecticut. | |
| The first one is coded with Y59.0. | |
| The next three are not. | |
| The CDC is responsible for coding them with Y59.0, which means viral vaccines. | |
| That means the English words are put into the Transacts and Acme software that the CDC has. | |
| The software is supposed to generate the code that means the vaccine killed the person. | |
| That's the only way to track what's killing people. | |
| So why 59.0? | |
| It was there in the first one. | |
| The machine, the software read it properly and applied the code. | |
| The next three, it's missing. | |
| What happened? | |
| Did somebody delete them? | |
| Now, in Massachusetts, the first one, Solomon Kizato, 60 years old, died January 16, 2021. | |
| First one is coded. | |
| Acute bronchopneumonia in the setting of idiopathic thrombocytopenia in a person recently vaccinated. | |
| Now, the vaccine causes thrombocytopenia. | |
| We know that. | |
| Oh, that's my favorite site, too. | |
| You've got the best one to look at. | |
| Y59.0 viral vaccines. | |
| Sorry, actually, I'm an idiot. | |
| What does viral vaccines mean? | |
| As the vaccine for a virus, there's bacterial vaccines. | |
| I just said the term "vio" differently there, but okay. | |
| It's a general category. | |
| There are other ones that can be written, like T88.1, other complications from immunization, not elsewhere classified. | |
| But I'm interested in Y59.0. | |
| How many Y59.0s in America? | |
| About 256. | |
| It's in my Connecticut memoranda series volume 2. I have the exact number in there. | |
| Not that I know more than 200. | |
| I think we could all agree that number is ridiculous. | |
| It's just understated or not entered. | |
| But how many where it's identified as a contributing factor, not necessarily the causal factor? | |
| Well, I didn't finish the causes yet. | |
| Let me run through that real quickly. | |
| The first one in Massachusetts was coded with Y59.0. | |
| The next nine were not. | |
| So guess what? | |
| There's 10 in Massachusetts that actually state, expressly state in part one under causes of death that the vaccine was causal. | |
| And I'm talking like drop dead five minutes after getting the vaccine in the clinic. | |
| And then two hours later, in two days, in one day, in pulmonary embolism, pulmonary embolism, and cardiac arrhythmia. | |
| So that's 10 in mass, four in Connecticut. | |
| In Minnesota, there were nine where it expressly states it. | |
| And three of them are coded out of the nine. | |
| Now, Greg Piper from Just the News picked up an article by Aaron Hertzberg, who is a friend, and he wrote the Minnesota data up first. | |
| He had written an article that got published in Brownstone and read by millions of people. | |
| And it said something like, CDC commits data fraud by not applying the code, right? | |
| Y59.0 for expressly stated vaccine deaths. | |
| And Greg Piper picked it up, sent it to the CDC, public relations, and said, what's up, guys? | |
| Do you have a comment? | |
| So Kristen Nordland, and this is paragraphs 49, 50, and 51 of the CDC memorandum that you can find at therealcdc.com, over my head here. | |
| You can buy that book. | |
| In those paragraphs, it states, Kristen Nordland replied via email and said, the article is wrong. | |
| The deaths in question, Say, vaccination, not vaccine. | |
| And a vaccination is not a disease or cause of death. | |
| Does that make any sense? | |
| She's differentiating... | |
| The tautologies always have it not to never enter it. | |
| So she's making an excuse saying that. | |
| And then she also said it does not say side effect of or adverse effect of. | |
| So what she did is she took the three that were coded, the six that were not in Minnesota, and she tailored her excuse. | |
| Very, you know, she wove a narrow path of vaccination, not vaccine, and side effect of, and adverse effect of. | |
| She didn't realize that we had Massachusetts, and Solomon Kizito's death record says vaccination, not vaccine, and it doesn't say side effect of. | |
| It doesn't say adverse effect of. | |
| And it was coded for Y59.0, making her statement further felony fraud. | |
| She lied. | |
| All right. | |
| But, okay, the underlying problem in all of this, Is that until one can determine what the definitive... | |
| Everyone has... | |
| Okay, let me see if I can phrase this properly. | |
| You get the death certificates that does not contain vaccination status. | |
| And so everybody's been infected virtually. | |
| The argument to the go-to on all of this is going to be this is caused by infection and not by the jab. | |
| And until there can be a vaccine status... | |
| It doesn't have to be all of them. | |
| I found hundreds of fraud. | |
| And when I say that, it says on the death record, vaccinated on this date. | |
| Some of them actually say that. | |
| I found the few. | |
| I combed through manually. | |
| I looked for anything that is V-A-C-C-I-N so that I could capture vaccination, vaccinated, and vaccine. | |
| And I also... | |
| Unfortunately, captured unvaccinated, which they wrote a lot. | |
| So I had to dismiss those. | |
| I got the dates. | |
| I got the times. | |
| They attributed these deaths to the vaccines. | |
| They're absolutely like myocarditis that everybody knows about, right? | |
| That's only 1% of the overall COVID deaths. | |
| Arrhythmia. You know, I know these people died within 24 hours of the vaccine in many cases. | |
| I have it. | |
| And then I can't really talk about it, but there's a federal database that... | |
| I'm not supposed to have that I got that has the vaccine dates of people on them. | |
| And I was able to correlate. | |
| So I have a whistleblower database. | |
| I write where I use that data. | |
| I write that's what I used. | |
| And then in addition to that, I have the VAERS records that I correlated. | |
| And I go through every person that died that day that correlates to a VAERS record of a person that died that day that is the same gender, the same age. | |
| And in some cases, like a 12-year-old Amaya who died from cerebellar, tonsillar, and bilateral uncle herniation. | |
| That's a hemorrhagic stroke. | |
| She was injected with four vaccines on August 3, 2022, meningococcal, Tdap, HPV, and her third COVID shot on August 3. She was officially dead on August 29. And both the VAERS record and the death record say cerebellar tonsillar and bilateral uncle herniation. | |
| It's the only 12-year-old around that time. | |
| It's the exact same cause of death. | |
| I got the right person, David. | |
| Not that I'm not skeptical, but I know what I would be saying to someone who says, I have the data, but I can't release it yet. | |
| When or if do you release what you've come across that might be? | |
| I did. | |
| The Connecticut Memoranda Series, Volume 2, is the Connecticut best. | |
| The CDC Memorandum is published. | |
| You can buy it off my website. | |
| It's all out there. | |
| People who read my stuff are like, wait a minute, is this for real? | |
| Like, yeah. | |
| It's the real state file numbers, the real VAERS report numbers. | |
| It's the people's real names, except in the case of... | |
| In Minnesota, I had to change the names. | |
| Some of the family, it wasn't fair to the family, so I changed some of the names in Minnesota. | |
| But the Massachusetts and Connecticut names are all out there. | |
| You know, if they want to put me in jail, they're going to have to go through discovery and admit all the vaccine deaths. | |
| So I made a calculated chance here that if they come after me, we'll see what happens. | |
| I got 0101 since Viva seems not convinced. | |
| It's not that I'm not convinced. | |
| I might be biased. | |
| No, I'm biased. | |
| I know what I already believe, and so I have to steel man or at least play devil's advocate more vigorously. | |
| Because there is no way of getting around the fact that they're going to say this all results from COVID infections and not vaccines. | |
| No, no. | |
| These people died within a very short time span, and they died from the same causes of death that the vaccine causes that COVID did not cause for a whole year. | |
| Well, no, they'll say delayed. | |
| It's a delayed cause from COVID infection. | |
| It's delayed to the day they got the vaccine. | |
| It's delayed to the day after they got... | |
| If you read the Connecticut Memoranda Series Volume 2 and nothing else, there's nothing else better in the world. | |
| I know it's really difficult for people to believe that, but all the research papers with their confidence intervals and p-values and inferential statistical methods, I can tear them apart. | |
| They don't know if they have a bimodal distribution function. | |
| They don't know what they have for a probability distribution function, so they always use a normal distribution. | |
| And in most cases, they're wrong because there's multiple variables that create different modes. | |
| All right, now I'm talking over your audience. | |
| Research papers are bullshit, man. | |
| This is it. | |
| This is hard evidence to convince any court or judge. | |
| I'm just thinking of a good test group. | |
| Do you have any specific data or have you looked at specific data from Amish communities? | |
| No, I wish I did. | |
| I can't think of any way to get that. | |
| Probably not anything to see. | |
| They're not dying from this stuff. | |
| They're just not. | |
| But then they'll say, well, they're not dying from acute... | |
| Not retenditis. | |
| What's the word I'm looking for? | |
| From acute renal failure because they're healthier in general, so they don't eat the processed foods. | |
| And so it's processed foods, it's energy drinks, it's supplements, it's stress, it's sunlight, it's COVID infection, it's everything but because back in 2021, they had already come to that conclusion. | |
| I wish I had the other graphs because I could prove to you it's not COVID. | |
| COVID went through Massachusetts and just, you know, well, they killed a lot of people in the hospitals, but... | |
| I believe there was a real disease. | |
| I'm not one of those people who say there was not a disease. | |
| It really hit Massachusetts, New York, New Jersey hard, and hardly any other place that hard. | |
| In fact, Massachusetts is central to all of COVID. | |
| Get this, 600 pharma companies in Massachusetts, $47 billion in venture capital financing behind them. | |
| We have 50 companies over $100 million a year in pharma revenue, 10 companies over $1 billion a year in revenue in pharma in Massachusetts. | |
| Moderna's headquarters in R&D, Massachusetts. | |
| Pfizer's divisional headquarters for their mRNA backs in Massachusetts. | |
| Rochelle Walensky, former CDC director, Massachusetts. | |
| My congressman is Jake Auchincloss. | |
| His father is Hugh Auchincloss. | |
| He was with Fauci as number two for all those years, and he probably ran Fauci because he's probably in one of the spook organizations. | |
| Everything about COVID is Massachusetts, and why? | |
| We had the most to gain, and yet we had the third highest purported COVID deaths in the world on July 27, 2020. | |
| The top two were New York and New Jersey, where the institutional investors are for all the pharma companies. | |
| So a virus starts in China, halfway around the world, the three places with the most to gain, New York, New Jersey, and Massachusetts had the... | |
| Largest numbers of deaths by far with Belgium a distant fourth. | |
| And Massachusetts was 50% more deaths than Belgium, which is also a corrupt country. | |
| So it just, it's not real. | |
| There was a disease that killed about 10 or 20% of what they purported to have killed. | |
| But they killed a lot of people in hospitals and called it COVID. | |
| Then they killed a lot of people with vaccines and called it COVID. | |
| They called it, it's all COVID. | |
| It's all everything except. | |
| Okay, did I forget to ask anything that is absolutely something that I should have asked? | |
| Well, I wanted to talk about the amicus brief. | |
| Oh, no, for sure. | |
| Let's do that for a few minutes. | |
| Hold on, maybe what we can do. | |
| No, no, we'll talk about the amicus brief with everybody, and then if you have a few minutes, I'll see when my kid starts driving me crazy. | |
| It's 9.45 our time, and he's been doing fairly well here. | |
| But talk about the amicus brief and what you're doing now. | |
| Okay, so somebody... | |
| Who had a case that involved qualified immunity out west asked me to do an AMCIS brief. | |
| A few of us are in a group, and I'm not a lawyer, but he said, it doesn't matter, you can do it. | |
| So I kind of wanted to tie in not just qualified immunity, but standing doctrine. | |
| So you've heard Robert talk about standing doctrine a lot, and I'm sure you're very familiar with it. | |
| For your audience, it's used a lot. | |
| All three of my cases cited Ashcroft v. | |
| Iqbal from 2009 and Standing Doctrine, which is a Rule 12b-6 of the Federal Rules of Civil Procedure, failure to state a claim upon which relief can be granted. | |
| Just a bunch of words. | |
| Don't worry about it. | |
| They say you don't have standing. | |
| So the Attorneys General of Missouri and Texas went directly to the Supreme Court when they went against Pennsylvania for election fraud in 2020. | |
| The case was dismissed by the Supreme Court based on standing. | |
| And they cited Ashcroft v. | |
| Iqbal. All the cases are citing that. | |
| And what I do in the amicus brief is I go through an analysis of what I call dismissal doctrines. | |
| And I concentrate on qualified immunity and standing. | |
| And when I go through the... | |
| Oh, you were just talking to Robert about Tim Pool's case. | |
| And what came up was personal jurisdiction. | |
| That's what you were... | |
| Or in venue. | |
| Mostly, I think you were talking about personal jurisdiction. | |
| And what's required there, there's something called minimum contacts in the state out of International SHU. | |
| So when you look at, I'm going to try to read from it if I have it here. | |
| So International SHU, that was cited 31,000 times since 1945. | |
| That's 394 times per year. | |
| Goodyear, Dunlop, that was essentially at home. | |
| That's another personal jurisdiction phrase you'll see in a lot of cases. | |
| That was cited 7,000 times, 548 times per year on average. | |
| So that's the seminal two cases basically for personal jurisdiction, which is a major hurdle you have to get over in order to get into court. | |
| And now let's get into the dismissal doctrines of, say, qualified immunity. | |
| Harlow v. | |
| Fitzgerald is 36,000 times since 1982. | |
| 1,700 times for Pearson versus Callahan. | |
| That's 25,000 times. | |
| So you're looking at 1,700 per year, 1,300 per year. | |
| And here's Mullinex versus Luna. | |
| That's a big one at 550 times per year, cited 5,000 times. | |
| Now let's get into standing. | |
| Ready? Here's the seminal case for standing. | |
| They kind of put a wrapper around what is standing. | |
| You need an injury, in fact, and then you need traceability and redressability. | |
| Those are the three prongs of blue hand, and that's 41,000 times since 1992, I think it is. | |
| Yeah, so 1,300 times per year. | |
| Okay, you ready for Ashcroft versus Iqbal? | |
| You ready for this one? | |
| 2009. Okay. | |
| 268,999 times. | |
| 17,933 times per year. | |
| And in the companion case is Twombly. | |
| And that's, what is that? | |
| That's Bell Atlantic versus Twombly. | |
| And that was 2007. | |
| So remember, John Roberts came in, Chief Justice, as of 2005. | |
| And you have two qualified immunity cases, which kicked up the numbers. | |
| And now you have two standing doctrine cases, 2007. | |
| Is Twombly, and 2009 is Iqbal, and Twombly is 278,455 times it was cited since 2007. | |
| That's 16,380 times. | |
| We're looking at 20 to 30 times the rate of anything personal jurisdiction, 10 times the rate of even qualified immunity. | |
| That's two or three times the rate of personal jurisdiction. | |
| So David, what's happened? | |
| Miller or Myler 2005 says, the number of times a case is cited doesn't mean anything. | |
| Yeah, here's what it means. | |
| It means that the lawyers were trained by the judges to use these cases to get everything kicked out of court. | |
| And the reason people are being kicked out of court is they're being told they don't have standing. | |
| They're confused. | |
| The lawyers are confused. | |
| I've talked to them. | |
| They don't even know why. | |
| It's like, what happened? | |
| I thought I had standing. | |
| What is the most foundational right we have in the Constitution? | |
| It's the last part of the First Amendment, the right to petition the government for redress of grievances, okay? | |
| Because I can stick my foot in your mouth and you can't speak. | |
| What are you going to do about it? | |
| You go to the government, you say, I'm either going to sue this guy or arrest this guy, get his foot out of my mouth. | |
| The only thing helping us after that is the Second Amendment we don't have to talk about. | |
| But the right to petition the government for redress of grievances is the foundational fabric of civil society. | |
| Without which we devolve into an uncivil society. | |
| Incivility will then reign. | |
| And what they're doing is they're taking a 5-4 decision of Ashcroft versus Iqbal and elevating it over the most foundational right we have. | |
| And they're kicking everybody out of court. | |
| So you don't get resolution on the election fraud. | |
| You don't get resolution on COVID cases, vaccine cases, the border. | |
| Nothing is resolved since 2007 and 2009 because... | |
| As a Pareto-efficient outcome where you tune the Pareto-efficiency toward the convenience of a judge because his wife doesn't like a case and doesn't want her garden club to yell at her. | |
| I mean, John, we talk about it all the time. | |
| It's like they say, not right, then it's latches, then it's moot, or it's no stamping. | |
| Any one of those four, at any given point of a lawsuit, of a claim, you can dismiss it. | |
| Not right? | |
| Come back later. | |
| Oh, you waited too long? | |
| You don't have standing. | |
| It's a good time. | |
| Maybe one day someone's going to fit the standing, but you don't have it. | |
| And so lo and behold, the election lawsuits don't get resolved and the COVID lawsuits don't. | |
| So your amicus is in the context of which current proceedings? | |
| Oh, you would ask me that. | |
| It's Johnson versus Kotech. | |
| So that was the governor of Oregon, I believe. | |
| And that was for a qualified immunity case for dismissal for vaccine mandates. | |
| It's amazing. | |
| How are you financing this work? | |
| Not to pride, but are you relying on crowdsourcing? | |
| I'm bleeding out my IRA, which is dwindling fast. | |
| Now I have to sell my house and move to New Hampshire to get the equity out of the Massachusetts house. | |
| That's it. | |
| Have you started a Give, Send, Go? | |
| No. I'll figure it out. | |
| I know you don't believe as much. | |
| I believe because certain things happened to me after I lost my son. | |
| And I believe God is real. | |
| And he's put breadcrumbs in front of me and I found things nobody else in the world has found. | |
| I'm no genius. | |
| That's for sure. | |
| But I found stuff. | |
| I don't even know how I found it. | |
| I'll be fine. | |
| John, if you have 10 more minutes? | |
| Yeah. Okay, we're going to move this over to locals, everybody, and we're going to take some Q&A there so we can get some AMAs, and then I'm going to have to go and tend to a child and eat some food and maybe hit the pool. | |
| I'm going to end on YouTube. | |
| Where can people find you? | |
| I'm going to put all the links in here afterwards, but where can people find you? | |
| Okay, therealcdc.com for my books. | |
| Summa Logica LLC. | |
| S-U-M-M-A L-O-G-I-C-A. | |
| L-L-C dot com. | |
| That's my company for press releases. | |
| At Substack, I write at therealcdc.substack.com. | |
| And on Twitter, it's John Bodwin Sr. | |
| So at John Bodwin Sr. | |
| I'm going to ask you to send me all these links and we're done. | |
| I know I have them somewhere, but DM them to me and I'll put them in the pinned comment. | |
| All right, everybody, I'll be live in the morning, morning my time, probably afternoon your time, and we'll go over the law political stuff. | |
| John, we're going to go over to vivabarnslaw.locals.com. | |
| All y'all know what to do to support me and where to find me, but whatever. | |
| I'm on the internet. | |
| Okay, anything on YouTube? | |
| Removing from YouTube. | |
| Oh, we just got one super chat that came in right after. | |
| It's from Freedom, who says, I had COVID twice, pretty bad. | |
| Took ivermectin hydroxychloroquine within days. | |
| It's a proven healer. | |
| Mr. Bowdoin knows this like many... | |
| Well, they've officially... | |
| Re-mainstreamed ivermectin and hydroxychloroquine, so much so that, you know, the fine folks at the TWC are offering it in emergency medical kits without being blacklisted or blackful. | |
| It's amazing. | |
| I had the steroids, and I was better in five hours. | |
| I was miserable for probably eight days, and it wasn't getting better. | |
| And it was a really ravaging sore throat. | |
| And they put me on steroids, and within five hours, I was feeling much better. | |
| I'm going to end this on Twitter. | |
| Right now, bada bing, bada boom, Rumble. | |
| Come on over to vivabarneslaw.locals.com. | |
| And let me see, the last one here is Rumble. |
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