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Speaker 1: This meeting is being recorded. How you sound, robot. So

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Speaker 1: if you don't defend the robot, I'm not. I'm defending

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Speaker 1: your very poor imitation of the robot. Well, she would,

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Speaker 1: she would, she would kill you if she had the chance.

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Speaker 1: So absolutely Well, this is Behind the Bastards, a podcast

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Speaker 1: where we support machine genocide, but by which I mean

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Speaker 1: genocide of the machines. Machines, although one does cause the other.

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Speaker 1: So strap in watch the Animatrix. I guess I don't

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Speaker 1: know where I'm going with here. Garrison's here. This is

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Speaker 1: another reverse episode, Garrison, I don't have my ship together,

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Speaker 1: take it over. I'm gonna drink up CD. Have fun

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Speaker 1: with your fake sugar. Drink um. Oh, it's so much

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Speaker 1: more real than real sugar. Howard sugar, I call it

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Speaker 1: okay um. Today we're talking thinking about a fun light

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Speaker 1: topic that has no implications on public health and trust

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Speaker 1: in how we view pandemics going forward. We're talking about

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Speaker 1: going these days? Is it good? That's good? Funny? Funny?

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Speaker 1: You mentioned that um as as we're recording this. The

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Speaker 1: delta variant is the is the dominant strain of COVID

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Speaker 1: here in the States, and pretty much pretty pretty pretty

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Speaker 1: much everywhere else too. Um, it's much much more contagious. UM.

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Speaker 1: And with with many of the COVID preventative restrictions being

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Speaker 1: removed across the country, cases are on a rapid rise

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Speaker 1: basically everywhere. Um. It's not like we're there's some places

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Speaker 1: that are going to have to put restrictions back in place. Um,

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Speaker 1: and you know, start making the mascumnates again. UM. Because yeah,

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Speaker 1: the variant this has about eighty three percent of cases

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Speaker 1: in the States that are diagnosed is for the delta

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Speaker 1: variant UM. And it does have so called breakthrough infections

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Speaker 1: in some vaccinated people to say with asymptomatic or very

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Speaker 1: mild cases. UM. I think there's been about five thousand

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Speaker 1: deaths of people who are vaccinated who with the with

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Speaker 1: with a delta variant. UM. So yeah, let's see. But

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Speaker 1: but more than of people hospitalized for COVID are unvaccinated

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Speaker 1: at the moment, so like it's still like it's yeah,

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Speaker 1: like you need to get vaccinated, like the most almost

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Speaker 1: all people who are going to the hospital for COVID

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Speaker 1: are are unvaccinated. UM. But the the the brakes for

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Speaker 1: infractions for for vaccinated people, combined with the lack of

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Speaker 1: masks and an increase in indoor socialization. Also racist possibility

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Speaker 1: that vaccinated people can carry and transmit variants to other people,

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Speaker 1: including you know, other unvaccinated people, which which you know

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Speaker 1: includes children and people with immune issues that prevent them

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Speaker 1: from getting the vaccine, not not just anti vaxxers. Um.

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Speaker 1: So all all of that plus school opening back up

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Speaker 1: in in person for in August and September. But I

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Speaker 1: can't get said Garrison. Yeah, I know, um Marjorie Taylor Green,

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Speaker 1: which I don't want to talk about because like the

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Speaker 1: reason why, the reason why she she's a problem is

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Speaker 1: because we talk about her. Um. But she she yesterday

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Speaker 1: she had like a very bad interview of her go

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Speaker 1: viral and she laughed about she like some ask your

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Speaker 1: question about like kids dying and she laughed it off.

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Speaker 1: And like just earlier that week, a five year old

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Speaker 1: in her own district died of covid um. Yeah. So yeah,

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Speaker 1: and it's funny. The funny thing. Funny is the wrong word.

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Speaker 1: The existentially soul destroying thing, the black pilling thing is that,

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Speaker 1: like there's so many liberals who pointed that out on

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Speaker 1: Twitter as if it matters exactly if that will ever

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Speaker 1: matter again, And there's there's there's no gotchas. If anything,

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Speaker 1: it makes it makes it worse for us the more

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Speaker 1: we do that in a lot of ways. Yeah, they're

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Speaker 1: all still living in this world where like John Stewart

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Speaker 1: can own Tucker Carlson on televised debate and it it

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Speaker 1: has an impact, and and and and Robert. Look look

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Speaker 1: how well that turned out for Tucker Carlson. Yeah, it

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Speaker 1: didn't deal with Tucker Carlson. Maybe maybe debating and owning

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Speaker 1: people has never solved a single problem in the history

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Speaker 1: of of the world. Hans Lytton owned Hitler pretty bad

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Speaker 1: in a nineteam what was it, thirty one? I think,

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Speaker 1: uh didn't didn't end up doing the trick. Never does,

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Speaker 1: never will stop talking to people. Yeah, so at this

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Speaker 1: moment right now, we're not doing too great in terms

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Speaker 1: of public health and like trust in public health either,

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Speaker 1: you know, for a lot of reasons, um but but thankfully,

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Speaker 1: in harsh times like this, we have a select few

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Speaker 1: people who who rise to the challenge to to inform

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Speaker 1: the public by grifting off a public health crisis to

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Speaker 1: pedal snake oil products and further their career by being

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Speaker 1: a beacon of disinformation. Today we're talking about covid anti

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Speaker 1: vaccine grifters. Um we'll we'll be will be starting off

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Speaker 1: with more of like of of a classic like health

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Speaker 1: and wellness grifter and then move on to someone who's

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Speaker 1: then then then move on to someone who's more dangerous

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Speaker 1: but who motives are a little bit a little bit

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Speaker 1: less clear. Early on in the pandemic we covered people

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Speaker 1: like one of the Paltrow who was like things like that.

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Speaker 1: We're gonna talking about one person who's doing you know,

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Speaker 1: some some stuff, some stuff like that got it. So

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Speaker 1: the first person we're discussing in the vein of like

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Speaker 1: that type of health and wellness kind of grifter is

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Speaker 1: named Julie Mazzi of well now, I guess kind of

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Speaker 1: former um natural pathic doctor who practiced in Napa, California. Garrison,

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Speaker 1: are you about to tell me this lady got kicked

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Speaker 1: out of being a natural path because that's like, to

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Speaker 1: go back to the last episode we record, that's like

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Speaker 1: getting kicked out of action park for being too drunk.

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Speaker 1: Um kind of, it's more like it's gonna be hard

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Speaker 1: to practice from jail. Okay, No, but nothing, I just

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Speaker 1: as long as my opinion of natural Pappy doesn't have

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Speaker 1: to change, you know, it doesn't have to change. Doctor

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Speaker 1: Doctor Trulie Vezi is at old, according to her website,

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Speaker 1: is a licensed primary care doctor whose aim and passion

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Speaker 1: is to empower her clients to heal. She believes it

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Speaker 1: in hold deep perspect for everyone's innate ability to discover

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Speaker 1: and find a path for their own well being. The

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Speaker 1: question has the word empower ever been used in a

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Speaker 1: situation in which it was not like fundamentally toxic in

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Speaker 1: life threatening? Has anyone used the word empower and not

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Speaker 1: been endangering the people they were empowering. Has that happened

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Speaker 1: a single time? No, that's that's a good question of it,

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Speaker 1: And in this case probably probably not. This this one

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Speaker 1: she she's on this show, which means she's she she is,

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Speaker 1: she has made it. If somebody says they want to

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Speaker 1: empower you, legally, if it's a stand your ground state,

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Speaker 1: you can start shooting at them. Legally you can. I

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Speaker 1: think I'm fairly certain I'm going to empower you with

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Speaker 1: this knowledge, So defend yourself. Doctor Mazzi received a doctorate

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Speaker 1: in naturopathic medicine from the National University of Natural medicine

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Speaker 1: in Wait, guess guess what city, Robert. Uh, it's not Mexico,

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Speaker 1: because you said city city, that's what city it's It's

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Speaker 1: because if you look up, if you do a fun

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Speaker 1: I'm gonna make sure you get the Google right. Um,

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Speaker 1: if you google, I think vaccine hesitancy map. Uh, and

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Speaker 1: you can find I believe that's the term you'll need

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Speaker 1: to use. Yeah, yeah, you can get vaccine hesitancy map

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Speaker 1: of the United States. Uh. Portland, Oregon shines real bright

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Speaker 1: on that particular. And the place where she got her

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Speaker 1: degree from has like specialized doctors who give like like

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Speaker 1: vaccine hesitancy plans um. Yeah, and that could vary from

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Speaker 1: like people who are like, you should get vaccinate your kids,

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Speaker 1: but you get a space out there mmrsh goats to

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Speaker 1: three separate ones, which is what wakefields. An initial grift

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Speaker 1: was yes to obviously the whole all vaccines. You're trying

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Speaker 1: to microship murder your baby's Yeah. Yeah. So yeah, so

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Speaker 1: she got her doctor important organ. I believe she was

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Speaker 1: born here um as well um at. At a very

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Speaker 1: early age, Dr massif Quo felt the call to be

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Speaker 1: a healer and teacher. Her spirit of investigation came alive

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Speaker 1: when she discovered her strong connection to the plant world.

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Speaker 1: Fascinated by nutrition and medical and the medical properties of

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Speaker 1: food and herbs, she experimented with various diets and searched

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Speaker 1: for exotic fruits and vegetables and herbs to discover their

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Speaker 1: effects for herself. Throughout her life, she experienced many different

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Speaker 1: healing healing foods so that she may honestly refer her patients,

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Speaker 1: uh that because she knows and understands from her own

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Speaker 1: experience what these herbs do. So here's the thing for

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Speaker 1: a lot of people like myself included in the States. Um,

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Speaker 1: we the health system. We kind of think the health

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Speaker 1: system sucks right, like it does. It's like there's a

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Speaker 1: lot of elements. I have some specific doctors, I have

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Speaker 1: nice things to say about. I have nothing nice to

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Speaker 1: say about our medicals. Yeah. Like yeah, like the modern

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Speaker 1: modern medicine by and large, especially in the States, it sucks.

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Speaker 1: It's hard to navigate. I'm not talking about like the

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Speaker 1: e er itself or whatever is. Again, as a general rule,

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Speaker 1: people who are doing emergency medical work are ran, but

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Speaker 1: the system itself that that that organizes and operates. I

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Speaker 1: have very little positive to say about it specifically, Like

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Speaker 1: you know, we'll be talking about a lot about like

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Speaker 1: pharmaceuticals this episode. You know, people are prescribed a lot

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Speaker 1: of things that don't necessarily help them and end up

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Speaker 1: hurting them. Um. So like and I kind of get

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Speaker 1: the drive to search for more like historical and like natural,

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Speaker 1: like natural because plants rock. Plants like plants. Women. Dude

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Speaker 1: who keeps pounds of planting yarrow comfree um and a

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Speaker 1: bunch of other like dried plants, Like I grows some

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Speaker 1: of that ship. I make my own stabs and tinctures

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Speaker 1: and whatnot. Like yeah, like many some of it does

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Speaker 1: stuff and you can generally find like stuf these. Again,

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Speaker 1: one of the things, like Dr Kava, who's a friend

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Speaker 1: of both of ours, point is like there's no such

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Speaker 1: thing as alternative medicine. If it's a plant based medicine

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Speaker 1: that does something, it's just medicine. Like you can look

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Speaker 1: up medical benefits of like um comfort your yarrow for

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Speaker 1: wound treatment or whatever, and like there's studies on it.

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Speaker 1: It's not anyway I've got on this ramp before. Yeah,

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Speaker 1: but like like that's not what we're talking about with

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Speaker 1: Dr Mazzi here. Uh, this is this is different because

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Speaker 1: you know, as we'll see, she's someone who is like

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Speaker 1: knowingly an actively you know, charging people for false cures

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Speaker 1: and doing active harm as people's lives in danger so

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Speaker 1: that she can make a buck. UM. There's some other

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Speaker 1: interesting info from her site. UM quote Drum comes from

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Speaker 1: a family of notable, notable educators. Her her grandfather, Stephen E. Elper,

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Speaker 1: founded both Portland State University and uh Olon College. So

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Speaker 1: like PPSC was actually is like a is a pretty

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Speaker 1: pretty big, pretty big deal in Portland. UM. It's one

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Speaker 1: of the one of the biggest universities in the state UM,

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Speaker 1: which is like an actual regular university. UM. Her grandmother

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Speaker 1: was a high school teacher for many years, and her

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Speaker 1: mother taught kindergarten for forty years, and her father was

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Speaker 1: a college professor. So she comes from like a family

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Speaker 1: of like of of doctors and educators. UM that they're

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Speaker 1: real proud. I mean, so does Wakefield though his parents

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Speaker 1: are both like very well regarded doctors or so. Dr

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Speaker 1: Masi claims that she shares her family's passion to educate

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Speaker 1: coach when someone has knowledge and understanding of their health

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Speaker 1: problem and the array of hall of of holistic and

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Speaker 1: non toxic therapies that are available to them. That patient

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Speaker 1: is now at the helm of their own healing um

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Speaker 1: and and there she she actually, you know, the sex

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Speaker 1: part has has some more sinister implications for how she

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Speaker 1: was able to market herself um and her business was

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Speaker 1: with such effective propaganda UM because before embarking on her

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Speaker 1: naturopathic studies, Dr Masi orned in undergraduate's degree and master's

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Speaker 1: degree in Communication studies UM. So like she knows how

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Speaker 1: to do marketing, like she got a master's degree um

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Speaker 1: at at at Portland State UM University. So she she

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Speaker 1: knows how to how to how to how to market

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Speaker 1: people and sell herself UM quote from her website. Her

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Speaker 1: skills and training interpersonal communication define her signature approach, which

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Speaker 1: is to use the power of compassionate inquiry to guide

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Speaker 1: each patient to value their own understanding and help discover

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Speaker 1: what their best choices are for healing. So she she

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Speaker 1: basically mar market markets herself as like an alternative to

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Speaker 1: general to to like a general care provider that will

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Speaker 1: help you treat everything from arthritis, allergies, infections all the

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Speaker 1: way to like autoimmune disorders a d h D and cancer.

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Speaker 1: This is all the things she advertises on her website

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Speaker 1: that her like naturopathic remedies can help can help you know,

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Speaker 1: treat um and naturally. The past few months she's been

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Speaker 1: offering so called treatment and immunization for COVID nineteen UM.

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Speaker 1: Part of how dr Amzi makes money is through homeopathic medications.

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Speaker 1: The fancy name is homeo pro facsialists immunization. I probably

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Speaker 1: said that perfect prophylaxis immunization, homeo homeo prophylaxis. Yeah, because

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Speaker 1: like a prophylaxis, like a condoms of prophylaxis. It's a

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Speaker 1: preventative treatment of some sorts. Yeah, this is a preventive

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Speaker 1: treatment done with homeo homeopathic. It's nonsense. It's drinking water

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Speaker 1: to cure your coaches. It's it's it's drinking water. Yeah.

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Speaker 1: So like the modern the modern origins come from eighteenth

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Speaker 1: century Germany. Homeopathy is by and large a debunked pseudoscience

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Speaker 1: that claims no highly deluded substances um, including including effectants themselves,

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Speaker 1: can cure diseases, and that the most ard on a

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Speaker 1: homeopathy that it includes two important facts, one of which

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Speaker 1: is that most homeopathic medicines have no measurable amount of

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Speaker 1: the medicine they're supposed to have, and at the one

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Speaker 1: time they did it killed a bunch of babies, killed

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Speaker 1: a bunch of babies or some ship. Yeah yeah it was.

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Speaker 1: It was deadly deadly night shade, deadly night shade from Highlands,

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Speaker 1: all natural baby killing pills. Yeah so yeah so. But

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Speaker 1: like you know, they believe the more substances deluded, the

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Speaker 1: stronger the disease curing power is. You know, so most

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Speaker 1: of these treatments are so deluted the base substances cannot

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Speaker 1: even be detected, which isn't you know a problem for

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Speaker 1: homeopaths since they actually claim that when even if you

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Speaker 1: can't detect it, um, the water molecules that you're consuming

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Speaker 1: can actually remember what the base the base substance is

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Speaker 1: that they've encountered and act the same in your body. Um.

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Speaker 1: You know. The treatments are you know, usually just placebos

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Speaker 1: or or harmless because they're nothing. But you know, if

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Speaker 1: they're improperly deluded, they could be deadly. In the case

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Speaker 1: of the homeopathic teething products which contained deadly nightshade, which

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Speaker 1: killed like ten ten babies and caused like hundreds and

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Speaker 1: hundreds of serious serious um illnesses. So yeah, so in

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Speaker 1: in in Dr Momsey's case, she would sell immunization pellets

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Speaker 1: that allegedly contained tiny amounts of various diseases that the

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Speaker 1: body could then naturally built up an immunity to. So like,

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Speaker 1: it's the same thing with all these like grifts. It's

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Speaker 1: like you're just inventing a bad version of vaccines or like, yeah,

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Speaker 1: if you give it a little bit of the thing,

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Speaker 1: then your body can learn how to fight it. But

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Speaker 1: it's like, but it's the bullshit version that it's just

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Speaker 1: completely nonsense. Um. And she provides many of these homeopathic

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Speaker 1: immunizations to children, which she then also falsey claims satisfy

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Speaker 1: the vaccine requirements for California schools. So she gives out

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Speaker 1: her patients like false papers saying that they've been immunized

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Speaker 1: for these things by giving them these pellets so that

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Speaker 1: they can still attend schools even if they're not vaccinated.

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Speaker 1: So that's kind of the specific gripp that she was

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Speaker 1: doing before covid UM. And then when covid started, she

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Speaker 1: you know and specifically like when the vaccine stuff started

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Speaker 1: gaining popularity, um, she switched to a lot of a

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Speaker 1: lot of focus on COVID and these COVID pellets. So

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Speaker 1: it's unclear how long she's been selling these COVID immunization pellets,

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Speaker 1: but it seems like they really started to take off

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Speaker 1: around January when the vaccines were starting to get released

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Speaker 1: to the general public, as she was offering these as

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Speaker 1: a naturopathic alternative. It's a good thing. I mean, well,

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Speaker 1: we need to do an episode one of these days

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Speaker 1: on like the actual because there's a whole the reason

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Speaker 1: that this is. I mean, it sounds like she did

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Speaker 1: get in trouble, but the reason why most people do

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Speaker 1: versions of this don't and the reason why she got

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Speaker 1: away with it for as long is there is a

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Speaker 1: whole legal framework set up to allow people to do this,

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Speaker 1: and it's heavily embedded, particularly with the Utah Republican Party.

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Speaker 1: UM Like it's a big it's it's all centered around Utah,

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Speaker 1: as is the team treatment industry for a lot of

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Speaker 1: a number of reasons. But it's like it's the same

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Speaker 1: reason why um UM, that company we covered that does

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Speaker 1: essential oils and stuff, was able to get away with

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Speaker 1: so much bullshit, Like there's this whole legal infrastructure set

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Speaker 1: up to allow people to sell folks medicine that isn't medicine.

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Speaker 1: Uh and then protect them from liability when those people die. UH.

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Speaker 1: And it's hugely embedded and specifically the Republican Party. UM.

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Speaker 1: And there are a Democratic Party. Uh, it doesn't do

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Speaker 1: anything about it because the Democratic Party, why would they

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Speaker 1: do anything at anything? In any way here we are,

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Speaker 1: it's been brewing for decades and in UH in April,

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Speaker 1: someone whose family members had gotten these COVID immunization pellets

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Speaker 1: from from Dr Mazzie tipped off the Department of Health

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Speaker 1: and Human Services Office for the for the Inspector General

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Speaker 1: to what was happening. And and this this prompted a

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Speaker 1: federal and state investigation into the Dr Massey's operations. UM.

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Speaker 1: This is now quoting a recent DJ report quote. Mazzi

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Speaker 1: used the covidteen pandemic to expand the pre existing immunization

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Speaker 1: scheme by selling immunization pellets that she fraudulently claimed in

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Speaker 1: written documents and in consensually monitored recordings would provide lifelong

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Speaker 1: immunity to COVID nineteen. Mazie explained that the pellets contained

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Speaker 1: quote a very minute amount of this COVID disease unquote

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Speaker 1: that can result in quote infectious symptoms with COVID nineteen

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Speaker 1: or automatically flag the immune system's attention inducing immunity. So

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Speaker 1: she's selling. The fun thing about this is she's telling

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Speaker 1: people don't get the vaccine, it's dangerous, and then saying

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Speaker 1: and then pretending her nonsense medicine works the way of

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Speaker 1: vaccine actually works exactly. That's exactly incredible quote to encourage

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Speaker 1: to encourage customers to purchase the pellets, as the allegedly

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Speaker 1: exploited disinformation and fear of by falsely claiming the FDA

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Speaker 1: authorized COVID vaccines contained quote toxic ingredients. Um mass. He

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Speaker 1: further say that to her customers, if you could provide

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Speaker 1: these pelts to children for covidentine immunization, and that quote

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Speaker 1: the dose is actually the same for babies, so that's nice. Um. Yeah.

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Speaker 1: As a general rule, if someone says the dose is

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Speaker 1: the same for babies, that should be a red flag.

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Speaker 1: It never is. Yeah, no, it should have. It shouldn't

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Speaker 1: be that they're very small. Yeah. I mean like if

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Speaker 1: my coke dealer was like and could given it to

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Speaker 1: your baby the dose is the same, I would not

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Speaker 1: find a different coke dealer because it's hard. I mean,

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Speaker 1: my god, um but I would probably not hang out

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Speaker 1: with him as much anyway, Sophie, trying to keep you employed. Well,

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Speaker 1: there's no law against cocaine. It is decriminalized where you live.

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Speaker 1: Thank you, Grison. It's fine that um in in a.

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Speaker 1: In a recorded phone call, uh Mozzi instructed a fake

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Speaker 1: client to quote pour roughly two to four pellets from

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Speaker 1: the cap and dump them under your tongue. You do

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Speaker 1: not have to drive yourself and say you're trying to

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Speaker 1: pour exactly at four pellets exactly re pelts. It doesn't

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Speaker 1: really matter. I mean, it's like, I mean, it's like

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Speaker 1: the real medicine, the doses whatever. That is my favorite

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Speaker 1: thing about the way California used to work is you

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Speaker 1: would get a prescription for pot and it would just

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Speaker 1: be a prescription for as much marijuana as you could carry.

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Speaker 1: So like, whatever your problem was, if pot was prescribed,

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Speaker 1: the dose was whatever. She said. She said, I mean,

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Speaker 1: it's like an energy medicine. So more pellets doesn't mean

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Speaker 1: stronger necessarily. Okay, that makes sense, perfect sets yea. When

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Speaker 1: asked what was in the pellets, Massey replied this, is

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Speaker 1: from the COVID nineteen. It's made from this disease particles

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Speaker 1: themselves getting her COVID. I do not know what the

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Speaker 1: exact processes that this COVID n As long as they

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Speaker 1: could extract the germs from the virus, they could make

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Speaker 1: the remedy. With this method, we're tapping into what's known

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Speaker 1: as the innate immune system. That's like a higher intelligence

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Speaker 1: part of the immune system. I have got no idea

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Speaker 1: where she's getting these pellets. No one the FEDS don't

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Speaker 1: clarify where she's getting these. We have but the perfect

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Speaker 1: way to frame it, because all these idiots already believe

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Speaker 1: in like the you're only used ten percent if you're

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Speaker 1: bringing you your innate intelligence, your instincts no more than

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Speaker 1: like you know, book learning can never like. So, yeah,

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Speaker 1: I get why this works. So do you know who

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Speaker 1: doesn't sell COVID nineteen pellets? Uh? I mean we ought to.

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Speaker 1: We could, We could, we could. She made a lot

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Speaker 1: of money. We could too, Sophie, we're getting into the

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Speaker 1: COVID nineteen pellet business. We are not. Yeah, we're selling pellets.

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Speaker 1: Go back to talking about your cocaine dealer. I liked

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Speaker 1: that better. May less money, I will send you pellets

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Speaker 1: and I will use it to buy cocaine. There we go.

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Speaker 1: All right, we're back. We are, we are indeed back,

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Speaker 1: and I'm online trying to order disease particle pellets. See

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Speaker 1: see how much I can sell them for in the street.

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Speaker 1: It's it's a pellets. Hey kid, Hey kid, want some

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Speaker 1: want some COVID pellets. I don't know the exact process

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Speaker 1: for it, but as long as they extract the terms,

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Speaker 1: it works. But the virus and them eat it, eat

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Speaker 1: it all. I think, as many as you want life

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Speaker 1: immunity and might make you sick, But that's fine. That

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Speaker 1: just means it's working. Back to the ta shape report

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Speaker 1: of quote. Mazzi also provided CDC COVID nineteen vaccination record

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Speaker 1: cards to her customers with instructions on how to fraudulently

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Speaker 1: complete the cards to false to falsely make it appear

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Speaker 1: as if a customer had received two doses of the

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Speaker 1: Maderna vaccine. As a part of her scheme, Mons provided

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Speaker 1: customers with specific NAPA California Maderna vaccine lot numbers to

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Speaker 1: enter onto the cards of instructions on how to select

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Speaker 1: the proparted dates on which they had received the Maderna

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Speaker 1: vaccines to evade suspicion. UM. The CDC confirmed to federal

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Speaker 1: investigators that that actual Maderna lot numbers were used. UM.

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Speaker 1: But the CDC in the California Health Department have no

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Speaker 1: don't know how Mazzy got them because like she's not

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Speaker 1: authorized to distribute or give out vaccines. It's like they

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Speaker 1: don't know where she got these numbers from. I mean,

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Speaker 1: she probably knows someone who told her or something, but

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Speaker 1: like it's it's kind of unclear what exactly happened for

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Speaker 1: how she got these cards and how she got these numbers. UM. Yeah,

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Speaker 1: so the original tipster who who tipped off the feds

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Speaker 1: um got a dose of these pellets over the phone

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Speaker 1: from Mazzi for for like a single dose of them.

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Speaker 1: Doses were unclear, howny pelts that is, but you know,

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Speaker 1: a dose for two hundred and forty three dollars UM. Now,

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Speaker 1: we don't know how many people purchased immediately these COVID

404
00:23:29,680 --> 00:23:34,720
Speaker 1: immunization pellets from from mazim. According to financial records federal

405
00:23:34,720 --> 00:23:39,120
Speaker 1: investigators obtained from Square just like a digital payment processing company. UM,

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Speaker 1: Mazie received approximately two hundred and twenty one thousand dollars

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00:23:43,640 --> 00:23:48,640
Speaker 1: from over a thousand transactions between January UM and UH

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00:23:48,720 --> 00:23:53,400
Speaker 1: and UH and May one UM. Most most of those

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Speaker 1: transaction records do not note specifically what the payments were

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Speaker 1: for UM. At least twenty five of them that total

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Speaker 1: to be like almost eight grand are indicated to be

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Speaker 1: for COVID treatment and thirty four other transactions are noted

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Speaker 1: for being for homeopathic treatment. And you know this these

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00:24:10,200 --> 00:24:19,679
Speaker 1: like these like pellets related purchases UM. On July Julie

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Speaker 1: Mazzy was arrested and she's been charged with one count

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Speaker 1: of wire fraud and a one count of making false

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00:24:25,800 --> 00:24:29,040
Speaker 1: statements related to public care matters. She's the first person

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Speaker 1: to face federal charges related to allegedly selling fake vaccines

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Speaker 1: and cards U. She could face up to twenty years

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Speaker 1: in prison, and she's she is facing a hundred thousand

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00:24:38,920 --> 00:24:41,639
Speaker 1: dollars in in fins at the moment um. But the

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Speaker 1: thing is, like there's a lot more doctors who are

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Speaker 1: doing the exact same thing. This is this is this

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Speaker 1: is just the first one to get like caught and

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00:24:48,440 --> 00:24:51,680
Speaker 1: in trouble like this. This isn't this isn't an uncommon thing.

426
00:24:51,760 --> 00:24:54,440
Speaker 1: You can find this basically every city, like every major

427
00:24:54,440 --> 00:24:57,560
Speaker 1: American city, you can find someone doing this exact thing. Um,

428
00:24:57,600 --> 00:25:01,040
Speaker 1: and it like and the don't even have to be doctors.

429
00:25:01,040 --> 00:25:03,240
Speaker 1: Like back in May, um in owner of a bar

430
00:25:03,359 --> 00:25:07,000
Speaker 1: got arrested on state charges for faking and selling vaccination cards.

431
00:25:07,520 --> 00:25:10,960
Speaker 1: Quoting the New York Times quote, a California bar owner

432
00:25:11,000 --> 00:25:13,560
Speaker 1: was arrested this week on charges that he had sold

433
00:25:13,560 --> 00:25:17,240
Speaker 1: fake COVID nineteen vaccination cards at his business. Prosecutors say

434
00:25:17,320 --> 00:25:24,040
Speaker 1: the owner, Todd Anderson of at Campo, California, uh Well,

435
00:25:24,160 --> 00:25:27,120
Speaker 1: was arrested and charged with identity fact forging government documents

436
00:25:27,119 --> 00:25:33,120
Speaker 1: and falsifying medical records, and having an unloaded registered firearm. UM.

437
00:25:33,160 --> 00:25:36,959
Speaker 1: The COVID vaccine bar scam was also found out by

438
00:25:37,000 --> 00:25:43,040
Speaker 1: someone tipping off the California Alcohol Beverage Board. Um. So yeah,

439
00:25:43,080 --> 00:25:45,000
Speaker 1: like this, this, this this thing has happened. We're getting

440
00:25:45,000 --> 00:25:47,120
Speaker 1: like new stories about people selling spake cards every month.

441
00:25:47,160 --> 00:25:49,119
Speaker 1: Of course you can find a lot of these on

442
00:25:49,240 --> 00:25:51,480
Speaker 1: eBay and stuff. Those are hard harder to kind of

443
00:25:51,480 --> 00:25:55,040
Speaker 1: crack down on. Um. But yeah, like this this isn't

444
00:25:55,040 --> 00:25:58,119
Speaker 1: a super uncommon thing. Um, But like as bad as

445
00:25:58,160 --> 00:26:01,440
Speaker 1: people like Dr Marz r East. Their damage is relatively

446
00:26:01,480 --> 00:26:05,160
Speaker 1: isolated now, Like she had over twelve thousand followers on Facebook,

447
00:26:05,400 --> 00:26:07,639
Speaker 1: but she wasn't trying to become like a social media

448
00:26:07,680 --> 00:26:10,159
Speaker 1: figure or anything. She didn't even really she didn't even

449
00:26:10,200 --> 00:26:12,560
Speaker 1: like she didn't even like talk about covid or or

450
00:26:12,600 --> 00:26:15,879
Speaker 1: her homeopathic like pellets um on her page. Because you know,

451
00:26:16,119 --> 00:26:18,800
Speaker 1: she knew she was doing crimes. Um. But it's like

452
00:26:19,119 --> 00:26:22,480
Speaker 1: she didn't talk about that kind of stuff. UM. Not

453
00:26:22,600 --> 00:26:26,719
Speaker 1: the same case for the next guy we are talking about. Um,

454
00:26:26,800 --> 00:26:30,479
Speaker 1: the next guy we're talking about is Dr Michael le Yedon.

455
00:26:31,200 --> 00:26:34,479
Speaker 1: UM My my, my, my, My old parkoer friend actually

456
00:26:34,680 --> 00:26:36,920
Speaker 1: told me about this guy. And for the past few

457
00:26:36,960 --> 00:26:39,320
Speaker 1: months we u for the past that the past month,

458
00:26:39,400 --> 00:26:41,080
Speaker 1: we've been kind of like trying to take as much

459
00:26:41,119 --> 00:26:44,040
Speaker 1: information up about this guy as possible because he has

460
00:26:44,119 --> 00:26:48,320
Speaker 1: a weird thing going on. UM. So, Dr Dr Michael

461
00:26:48,440 --> 00:26:52,240
Speaker 1: eden Um is commonly referred to as the former vice

462
00:26:52,240 --> 00:26:55,760
Speaker 1: president of FISER and the former chief science officer there.

463
00:26:56,119 --> 00:26:58,560
Speaker 1: Uh that that's that, that's what he's called in the media.

464
00:26:58,600 --> 00:27:01,560
Speaker 1: It's that's it's not it's not totally true, but it's

465
00:27:01,680 --> 00:27:05,520
Speaker 1: it's true enough that people can use that to be convincing.

466
00:27:06,080 --> 00:27:10,800
Speaker 1: Um and Uh. In the beginning of April, he started

467
00:27:10,840 --> 00:27:13,919
Speaker 1: his crusade against both COVID vaccines and like trying to

468
00:27:13,960 --> 00:27:17,280
Speaker 1: uncover the hidden truth about the pandemic in general. He's

469
00:27:17,280 --> 00:27:20,240
Speaker 1: like a slippery little bastard. Like his his intentions are

470
00:27:20,720 --> 00:27:23,480
Speaker 1: pretty muddy even after looking into him, you know a

471
00:27:23,560 --> 00:27:26,399
Speaker 1: lot for the past few weeks, like all of the

472
00:27:26,440 --> 00:27:29,280
Speaker 1: interviews he has going through his his like archives Twitter.

473
00:27:29,800 --> 00:27:33,720
Speaker 1: It's I don't know what exactly his grift is. I

474
00:27:33,480 --> 00:27:35,199
Speaker 1: I don't know if he's like a true believer in

475
00:27:35,240 --> 00:27:37,280
Speaker 1: what he's saying or he's just trying to like find

476
00:27:37,320 --> 00:27:40,119
Speaker 1: a new a thing to make money. It's he's he's

477
00:27:40,160 --> 00:27:43,719
Speaker 1: like a super weird dude. Um. But the one thing

478
00:27:43,760 --> 00:27:48,320
Speaker 1: that's clear is at last April, something changed in in

479
00:27:48,320 --> 00:27:50,760
Speaker 1: in in needed like he became like a different person.

480
00:27:51,400 --> 00:27:58,080
Speaker 1: Um A little Yeah, it's like something happened which either

481
00:27:58,119 --> 00:28:02,080
Speaker 1: caused him to snap or he saw financial you know

482
00:28:02,240 --> 00:28:07,400
Speaker 1: prospect um. So the first a little background on En himself. Um,

483
00:28:07,440 --> 00:28:10,680
Speaker 1: he's he's currently married and he has two adult children. Um.

484
00:28:10,720 --> 00:28:13,280
Speaker 1: And he's he's talked openly about having a tough childhood.

485
00:28:14,080 --> 00:28:16,840
Speaker 1: He said his his His mother committed suicide when he

486
00:28:16,880 --> 00:28:18,879
Speaker 1: was only eighteen months old, and his father, who was

487
00:28:18,920 --> 00:28:22,240
Speaker 1: also a doctor, abandoned him when he was sixteen. Um.

488
00:28:22,280 --> 00:28:25,840
Speaker 1: He was saved by a local social worker and adopted

489
00:28:25,880 --> 00:28:29,520
Speaker 1: by a Jewish family, UM who apparently, like he says, like,

490
00:28:29,720 --> 00:28:32,879
Speaker 1: turned his life around. Um. In the in the in

491
00:28:32,920 --> 00:28:36,480
Speaker 1: the in the eighties, was a student at the University

492
00:28:36,560 --> 00:28:41,000
Speaker 1: of Sir Surrey. So that's a place in the in

493
00:28:41,000 --> 00:28:44,760
Speaker 1: the England part of the world. Um. So he was there.

494
00:28:44,760 --> 00:28:48,880
Speaker 1: He got a bachelor's in biochemistry. Part of the world. Yeah,

495
00:28:49,000 --> 00:28:52,040
Speaker 1: and like like that section on the other side part

496
00:28:52,040 --> 00:28:53,680
Speaker 1: of the world where it is it's it's it's in

497
00:28:53,680 --> 00:28:58,920
Speaker 1: a town called Guildford or something probably perhaps completely different

498
00:28:58,920 --> 00:29:02,200
Speaker 1: than that. But the British it sounds it sounds it

499
00:29:02,280 --> 00:29:08,040
Speaker 1: sounds fake. Um. Yeah. But so yeah, no, we never

500
00:29:08,120 --> 00:29:11,360
Speaker 1: apologize to British people. I apologize to in her hand,

501
00:29:12,080 --> 00:29:17,880
Speaker 1: well I do not, No, yeah, absolutely not. Um. He

502
00:29:18,200 --> 00:29:21,320
Speaker 1: received a bachelors in biochemistry and toxicology in nineteen eighty

503
00:29:21,640 --> 00:29:26,640
Speaker 1: five and he got a PhD in pharmacology in UM.

504
00:29:26,720 --> 00:29:29,120
Speaker 1: During his time at the university, he was researching opioids

505
00:29:29,360 --> 00:29:33,760
Speaker 1: and how they affect the central nervous system UM. After graduating,

506
00:29:34,120 --> 00:29:36,840
Speaker 1: he worked at a drug and allergenic research lab in

507
00:29:36,880 --> 00:29:39,800
Speaker 1: the UK for a few years, and then in he

508
00:29:39,880 --> 00:29:42,479
Speaker 1: began working for FISER UK UM and by two US

509
00:29:42,480 --> 00:29:45,040
Speaker 1: in six he did become the chief Science Officer and

510
00:29:45,120 --> 00:29:49,080
Speaker 1: Vice president of the Allergy and Respiratory R and D department.

511
00:29:49,160 --> 00:29:52,920
Speaker 1: So not not FISER as a whole, this specific small department.

512
00:29:53,320 --> 00:29:55,800
Speaker 1: But that doesn't really matter because when you talk about this,

513
00:29:55,840 --> 00:29:58,000
Speaker 1: like in media, you can just stay the former VP

514
00:29:58,080 --> 00:30:00,440
Speaker 1: of FISER and then you're like, oh, wow, the former

515
00:30:00,520 --> 00:30:02,840
Speaker 1: vice president is saying that vaccines are killing people. We

516
00:30:02,840 --> 00:30:06,040
Speaker 1: should listen to him, Which you mean he didn't. He

517
00:30:06,040 --> 00:30:09,320
Speaker 1: he was working. The unit he worked on was developing

518
00:30:09,360 --> 00:30:14,040
Speaker 1: drugs to treat asthma UM and like respiratory obstructions. UM,

519
00:30:14,120 --> 00:30:16,120
Speaker 1: so he was he was like the head of the

520
00:30:16,160 --> 00:30:20,560
Speaker 1: allergy unit. Most of the reporting about Fightser and him,

521
00:30:21,160 --> 00:30:23,680
Speaker 1: UH say that he that he left in twos and

522
00:30:23,760 --> 00:30:26,200
Speaker 1: eleven is technically true, but I think paints a slightly

523
00:30:26,200 --> 00:30:29,200
Speaker 1: different distorted picture. Um. There was a there was There

524
00:30:29,200 --> 00:30:30,960
Speaker 1: was an old Forbes article written by one of his

525
00:30:31,040 --> 00:30:35,560
Speaker 1: former friends back in seen that talks about the talk

526
00:30:35,640 --> 00:30:40,800
Speaker 1: about Ian and his his his breakoff from Visor. Quote

527
00:30:41,000 --> 00:30:43,560
Speaker 1: Dr Michael Ian, the seventeen year old Fighter veteran and

528
00:30:43,720 --> 00:30:46,040
Speaker 1: Viser's R and D and and and head of Viser's

529
00:30:46,200 --> 00:30:50,360
Speaker 1: R and D unit for the allergy section in Sandwich, England.

530
00:30:50,440 --> 00:30:55,080
Speaker 1: Okay again not a real place, Sandwich, England. No, they're

531
00:30:55,080 --> 00:31:01,120
Speaker 1: fucking with us, with us anyway. So Mike was told

532
00:31:01,160 --> 00:31:02,720
Speaker 1: in the fall of tow Us in ten that Fightser

533
00:31:02,800 --> 00:31:05,440
Speaker 1: was closing the allergy and respiratory disease program and his

534
00:31:05,560 --> 00:31:07,840
Speaker 1: own role as the chief science officer of the group

535
00:31:08,000 --> 00:31:10,760
Speaker 1: was being eliminated. Rather than see complement elsewhere, Mike had

536
00:31:10,800 --> 00:31:14,520
Speaker 1: other ideas, so he didn't like leave Fightser. His whole

537
00:31:14,560 --> 00:31:17,240
Speaker 1: branch got dissolved, and he like he his his his

538
00:31:17,320 --> 00:31:22,280
Speaker 1: job got eliminated. Um And instead of trying to find

539
00:31:22,360 --> 00:31:24,320
Speaker 1: new work at Fighter, he had the idea to start

540
00:31:24,360 --> 00:31:27,600
Speaker 1: his own research company. Um. After talking, after talking to

541
00:31:27,600 --> 00:31:29,800
Speaker 1: some of the higher ups at FISER, he got permission

542
00:31:29,840 --> 00:31:32,600
Speaker 1: to license like Fightser compounds, like like you know, like

543
00:31:32,640 --> 00:31:34,560
Speaker 1: the actual chemicals they use and like and you know,

544
00:31:34,600 --> 00:31:38,080
Speaker 1: molecules and stuff. Um. So and eventually he found some

545
00:31:38,120 --> 00:31:40,720
Speaker 1: investors in the US and he actually got he actually

546
00:31:40,720 --> 00:31:43,440
Speaker 1: got the fightser investing board to also invest in in

547
00:31:43,600 --> 00:31:46,120
Speaker 1: his in his new company, so he eventually got enough

548
00:31:46,160 --> 00:31:50,600
Speaker 1: capital to get started. UM. Quoting Forbes again at this point,

549
00:31:50,720 --> 00:31:55,040
Speaker 1: the virtual company known as z r Co. They all

550
00:31:55,120 --> 00:31:58,160
Speaker 1: they picked the worst names for these biotech companies. It's

551
00:31:58,240 --> 00:32:02,280
Speaker 1: they're all absolutely non sundse um. But the company now

552
00:32:02,320 --> 00:32:05,120
Speaker 1: known as z r Co was often running. The team

553
00:32:05,120 --> 00:32:08,640
Speaker 1: focused on its most promising asset, the z p L

554
00:32:08,840 --> 00:32:13,840
Speaker 1: three eight nine and orally active histamine that is used

555
00:32:13,880 --> 00:32:19,320
Speaker 1: to treat egema. So he worked. So, Uh, this guy

556
00:32:19,640 --> 00:32:24,040
Speaker 1: started this company that was working on exema medications for

557
00:32:24,080 --> 00:32:28,280
Speaker 1: a few years UM. And then in twent five years

558
00:32:28,280 --> 00:32:31,400
Speaker 1: after he started the company, the Switzerland based pharmaceutical company

559
00:32:32,160 --> 00:32:38,880
Speaker 1: No voratis. Again, we're terrible names. Um. Yeah, like there

560
00:32:38,880 --> 00:32:41,440
Speaker 1: they're they're they're actually pretty big. But I just don't

561
00:32:41,440 --> 00:32:44,800
Speaker 1: know how to say biotech company names because their nonsense. Um.

562
00:32:44,880 --> 00:32:48,920
Speaker 1: But they they bought Eden's company for an upfront payment

563
00:32:49,040 --> 00:32:53,040
Speaker 1: of three hundred and twenty five million dollars UM, and

564
00:32:53,080 --> 00:32:56,600
Speaker 1: they promised to pay another million dollars if certain milestones

565
00:32:56,680 --> 00:33:00,360
Speaker 1: in the drug treatments were achieved. Uh. They were counting

566
00:33:00,480 --> 00:33:03,160
Speaker 1: on the anti of a drug to be a hit,

567
00:33:03,520 --> 00:33:05,479
Speaker 1: and they claimed it had the potential to be like

568
00:33:05,520 --> 00:33:08,880
Speaker 1: a new first class oral treatment to moderate to severe

569
00:33:08,920 --> 00:33:11,760
Speaker 1: or exema. Now it's unclear how much money even himself

570
00:33:11,920 --> 00:33:16,080
Speaker 1: made from the acquisition, um, but in January he tweeted

571
00:33:16,120 --> 00:33:18,880
Speaker 1: that he made like millions off of off of the

572
00:33:18,960 --> 00:33:21,400
Speaker 1: off of the founding and growing of this tech company.

573
00:33:21,880 --> 00:33:24,480
Speaker 1: Which which is which is true? Like he made a

574
00:33:24,520 --> 00:33:27,560
Speaker 1: lot of money. He didn't. He probably didn't keep all

575
00:33:27,600 --> 00:33:33,160
Speaker 1: three hundred million, but he got a sizeable fortune. Um.

576
00:33:33,280 --> 00:33:40,080
Speaker 1: Then Uh. Actually in last July, uh, no varata whatever? Uh,

577
00:33:40,240 --> 00:33:44,160
Speaker 1: the novartist novartists disclosed that Internet you know it's bad

578
00:33:44,160 --> 00:33:46,959
Speaker 1: when I'm correcting your pronunciation. Look, I don't know how.

579
00:33:47,320 --> 00:33:50,400
Speaker 1: It's a Switzerland based biotech company. That's there's too many

580
00:33:50,440 --> 00:33:53,280
Speaker 1: languages and too many nonsense for me for me to

581
00:33:53,280 --> 00:33:56,840
Speaker 1: fairly certain. We hired you, we asked do you speak Switzerland?

582
00:33:56,960 --> 00:33:59,560
Speaker 1: And you said yeah, that was the first and only

583
00:33:59,640 --> 00:34:06,920
Speaker 1: question we asked. But last last July, the company disclosed

584
00:34:06,920 --> 00:34:11,960
Speaker 1: that it had discontinued the the experimental m Egizma clinical

585
00:34:12,000 --> 00:34:14,440
Speaker 1: development program and had had had to had to take

586
00:34:14,440 --> 00:34:17,839
Speaker 1: an almost five million dollar right down on it. Um.

587
00:34:17,880 --> 00:34:20,480
Speaker 1: They said the spokesperson for the company said that they

588
00:34:20,480 --> 00:34:23,840
Speaker 1: decided to terminate the program after disappointing efficiency data in

589
00:34:23,880 --> 00:34:26,840
Speaker 1: the early stage clinical trials. So they bought this company

590
00:34:26,880 --> 00:34:28,680
Speaker 1: and hope that the strug would be the next big thing.

591
00:34:28,880 --> 00:34:32,120
Speaker 1: Turns out the drug doesn't work, um and you didn't

592
00:34:32,160 --> 00:34:35,000
Speaker 1: got tons of money out of the deal, so he wins,

593
00:34:35,360 --> 00:34:39,040
Speaker 1: no one else does. Um And Also while he was

594
00:34:39,120 --> 00:34:42,040
Speaker 1: doing his own work at at his company, he also

595
00:34:42,040 --> 00:34:43,839
Speaker 1: was working as a consultant for a few different but

596
00:34:43,960 --> 00:34:48,640
Speaker 1: for a few different US based biotech companies. UM And

597
00:34:48,719 --> 00:34:51,040
Speaker 1: he hasn't really been up to much since he sold

598
00:34:51,080 --> 00:34:54,280
Speaker 1: his company. He said he had to like partially retire

599
00:34:54,320 --> 00:34:56,360
Speaker 1: due to medical issues. But also that was just that

600
00:34:56,560 --> 00:34:58,480
Speaker 1: was a year after he made tons of money selling

601
00:34:58,520 --> 00:35:00,120
Speaker 1: his company, so he could just be like dunk, like

602
00:35:00,160 --> 00:35:02,120
Speaker 1: he's like in his fifties or sixties or whatever. It's

603
00:35:02,120 --> 00:35:05,040
Speaker 1: like he can just not work anymore because he has

604
00:35:05,320 --> 00:35:08,360
Speaker 1: probably hundreds, like at least a hundred million dollars, like

605
00:35:08,520 --> 00:35:13,759
Speaker 1: so much money, um which now leads us to the plague. UM.

606
00:35:13,840 --> 00:35:15,799
Speaker 1: During during the first few months of the pandemic, even

607
00:35:15,840 --> 00:35:19,480
Speaker 1: seemed like a normal doctor, like a normal guy with

608
00:35:19,560 --> 00:35:23,839
Speaker 1: no weird conspiracy theories. Um. In March, as the coronavirus

609
00:35:23,880 --> 00:35:26,520
Speaker 1: was raging on in the UK, he didn't would publicly

610
00:35:26,520 --> 00:35:28,879
Speaker 1: express the support for developing a vaccine. He tweeted out

611
00:35:28,920 --> 00:35:31,200
Speaker 1: that quote, covidnineteen is not going away until we have

612
00:35:31,200 --> 00:35:33,600
Speaker 1: a vaccine or heard immunity. All they can do right

613
00:35:33,600 --> 00:35:37,040
Speaker 1: now is slow it's spread a week Plannarch. He tweeted quote,

614
00:35:37,120 --> 00:35:39,120
Speaker 1: A vaccine might might be along towards the end of

615
00:35:39,800 --> 00:35:43,200
Speaker 1: one if we're really lucky. Um, you know someone on Twitter.

616
00:35:43,360 --> 00:35:46,320
Speaker 1: You replied to him saying that vaccine's harm many many people,

617
00:35:46,560 --> 00:35:49,080
Speaker 1: and even replied, Okay, please refuse it, but do not

618
00:35:49,120 --> 00:35:53,120
Speaker 1: repeat its flow or or or or or or try

619
00:35:53,200 --> 00:35:54,920
Speaker 1: to get others who want to get it to is

620
00:35:55,000 --> 00:35:58,120
Speaker 1: to not get it. Thanks. So it just seems like

621
00:35:58,280 --> 00:36:01,320
Speaker 1: a normal doctor man who's like, oh, yeah, vaccines work.

622
00:36:01,600 --> 00:36:04,040
Speaker 1: This pandemic is bad. We just need to stop. We

623
00:36:04,080 --> 00:36:05,640
Speaker 1: need to stop the spread right now. And that's it.

624
00:36:05,760 --> 00:36:11,440
Speaker 1: So like nothing, nothing of note. Someone named Mathi Manman

625
00:36:11,520 --> 00:36:14,280
Speaker 1: who is at the Google head of research and development

626
00:36:14,480 --> 00:36:20,360
Speaker 1: for divisions any names correctly, I think think that's correct,

627
00:36:20,400 --> 00:36:24,640
Speaker 1: and take exam. They felt they must smelt math Ai

628
00:36:25,040 --> 00:36:29,040
Speaker 1: and then mammon, which is mam than men. It's I

629
00:36:29,080 --> 00:36:35,799
Speaker 1: think it's Mattia Garrison, Jesus Christ Swiss culture. I can't. Yeah,

630
00:36:35,800 --> 00:36:38,160
Speaker 1: that probably is. Harrison probably doesn't know how to use

631
00:36:38,200 --> 00:36:41,960
Speaker 1: Excel either. He's just like I use I use Google sheets.

632
00:36:42,320 --> 00:36:49,880
Speaker 1: And you've never seen Wayne's world either. Yase Days anyway,

633
00:36:50,000 --> 00:36:53,839
Speaker 1: the head of research development for the Pharmacool pharmaceutical division

634
00:36:53,880 --> 00:36:57,080
Speaker 1: of Johnson Johnson posted a link on LinkedIn last year

635
00:36:57,560 --> 00:37:00,000
Speaker 1: um that his company had started the clinical trials of vaccine,

636
00:37:00,080 --> 00:37:03,160
Speaker 1: and Yiden responded, lovely, nice, nice to see this milestone.

637
00:37:03,200 --> 00:37:07,720
Speaker 1: So like again, normal normal doctor man, nothing, nothing weird.

638
00:37:08,040 --> 00:37:11,920
Speaker 1: And then April came and the u k's lockdown got extended.

639
00:37:12,560 --> 00:37:14,680
Speaker 1: And as soon as the lockdown got extended in April,

640
00:37:15,040 --> 00:37:19,640
Speaker 1: Eden sorted to drastically change his tone around the whole pandemic. Um.

641
00:37:19,680 --> 00:37:23,080
Speaker 1: He grew increasingly frustrated about the lockdown extension and began

642
00:37:23,160 --> 00:37:26,440
Speaker 1: ranting online about how lockdowns don't work and how how

643
00:37:26,480 --> 00:37:28,880
Speaker 1: the early stage and he began the early stages of

644
00:37:28,920 --> 00:37:32,759
Speaker 1: crafting his own conspiracy theories about about governmental control and

645
00:37:32,840 --> 00:37:36,520
Speaker 1: fake COVID testing. So something happened in August that either

646
00:37:36,920 --> 00:37:40,080
Speaker 1: broke him or he was he figured that he can

647
00:37:40,120 --> 00:37:41,560
Speaker 1: make money off this. I don't know which it is,

648
00:37:41,560 --> 00:37:44,080
Speaker 1: because he already had lots of money. Well, I mean,

649
00:37:44,360 --> 00:37:47,439
Speaker 1: you know, he's an older guy. Some people, you get,

650
00:37:47,520 --> 00:37:50,960
Speaker 1: you have little I've heard theories some men as they

651
00:37:51,000 --> 00:37:53,480
Speaker 1: age they have these little bity micro strokes that usually

652
00:37:53,480 --> 00:37:56,400
Speaker 1: aren't like noticed, you're diagnosed, and it leads to because

653
00:37:56,400 --> 00:37:59,680
Speaker 1: like a lot of guys have these weird personality shifts

654
00:38:00,080 --> 00:38:03,319
Speaker 1: they get past a certain age, and you know, I

655
00:38:03,320 --> 00:38:05,440
Speaker 1: don't know, maybe he's having a bunch of little bitty strokes,

656
00:38:05,520 --> 00:38:08,080
Speaker 1: is what I'm saying. Yeah, so Ruters put together pretty

657
00:38:08,080 --> 00:38:13,560
Speaker 1: good peace talking about how howiters. It's not it's it's

658
00:38:13,600 --> 00:38:20,759
Speaker 1: not ruters relly. Why did they spell like that then,

659
00:38:21,160 --> 00:38:26,640
Speaker 1: because it's pronounced reuters. She didn't grow up with the

660
00:38:26,719 --> 00:38:32,440
Speaker 1: TV on you never like listen to TV news, but

661
00:38:32,480 --> 00:38:36,799
Speaker 1: I learned. I learned spelling from Christian fascist protests. And

662
00:38:36,840 --> 00:38:40,040
Speaker 1: the AP is an app. It's not app. It's not

663
00:38:40,080 --> 00:38:42,200
Speaker 1: the app store. It's not the app store. That's a

664
00:38:42,239 --> 00:38:45,719
Speaker 1: different store. Just so you know that in Australia, a

665
00:38:45,800 --> 00:38:50,080
Speaker 1: router is actually somebody who who fox a lot. Yeah

666
00:38:50,400 --> 00:38:54,879
Speaker 1: it is. It's rot Ye and other fun Australia. Fact

667
00:38:55,000 --> 00:38:58,879
Speaker 1: they called drugs I think, particularly meth gear cool, which

668
00:38:58,880 --> 00:39:03,640
Speaker 1: I have always found cool, Like, I think that's pretty rad. Actually, yeah, anyway,

669
00:39:04,960 --> 00:39:09,400
Speaker 1: I can't there's no oh, there's no oh in the

670
00:39:09,440 --> 00:39:14,600
Speaker 1: word Reuters alight. Well yeah, but there's no I in

671
00:39:14,680 --> 00:39:17,839
Speaker 1: team and we still pronounce it tim. So what are

672
00:39:17,840 --> 00:39:21,239
Speaker 1: you gonna do? Yeah, well, so Reuters put together a

673
00:39:21,320 --> 00:39:24,080
Speaker 1: piece trying to like break down how Ye didn start

674
00:39:24,080 --> 00:39:28,720
Speaker 1: of changing his tone on certain things. Um uh. Quote,

675
00:39:28,760 --> 00:39:31,080
Speaker 1: when Britain was still in its first lockdown last spring,

676
00:39:31,280 --> 00:39:36,480
Speaker 1: he declared, quote there's nothing especially uh frightening about COVID nineteen.

677
00:39:36,719 --> 00:39:39,480
Speaker 1: It will all fade away. It's just a common garden

678
00:39:39,600 --> 00:39:41,960
Speaker 1: virus to which the world overreacted. I mean that was

679
00:39:42,000 --> 00:39:44,879
Speaker 1: a pretty common, you know, anti COVID sentiment at the time,

680
00:39:44,920 --> 00:39:48,120
Speaker 1: like oh, it's just like the cold. Um. And also

681
00:39:48,160 --> 00:39:50,160
Speaker 1: he predicted in a subsequent tweet that it was quote

682
00:39:50,239 --> 00:39:52,759
Speaker 1: unlikely that the death toll in the UK would reach

683
00:39:52,840 --> 00:39:58,360
Speaker 1: forty which, uh that that thing is almost much higher

684
00:39:58,360 --> 00:40:10,120
Speaker 1: than you here, almost quadrupled since then, that's told UK Okay, yeah, basically,

685
00:40:12,920 --> 00:40:16,680
Speaker 1: um yeah. So in April he started changing his tone

686
00:40:16,680 --> 00:40:20,839
Speaker 1: about things, and then by September, den statements were starting

687
00:40:20,840 --> 00:40:24,359
Speaker 1: to attract attention beyond just twitter um. At the time,

688
00:40:24,400 --> 00:40:27,000
Speaker 1: a movement had emerged in Britain against lockdowns and other

689
00:40:27,000 --> 00:40:29,719
Speaker 1: restrictions meant to curb the disease. He and he co

690
00:40:29,880 --> 00:40:34,840
Speaker 1: authored a lengthy piece on a website called Lockdown skeptics Um.

691
00:40:34,880 --> 00:40:36,680
Speaker 1: It declared that the pandemic as an event in the

692
00:40:36,760 --> 00:40:39,360
Speaker 1: UK was essentially complete and that there is quote no

693
00:40:39,440 --> 00:40:42,040
Speaker 1: biological principle that that leads us to expect a second wave.

694
00:40:42,520 --> 00:40:45,200
Speaker 1: Britain soon entered a much more deadly second wave about

695
00:40:45,200 --> 00:40:48,640
Speaker 1: like a week or two later. Yeah, yeah, feels I

696
00:40:49,360 --> 00:40:52,080
Speaker 1: think you shouldn't say are there won't be a second wave?

697
00:40:52,440 --> 00:40:56,680
Speaker 1: You know, this shift is unsinkable, that sort of stuff.

698
00:40:56,719 --> 00:41:00,000
Speaker 1: Avoid those statements. So, like, looking at his old tweets,

699
00:40:59,880 --> 00:41:02,200
Speaker 1: you see a man like purposely switching to bad faith,

700
00:41:02,640 --> 00:41:05,440
Speaker 1: or you see a man like radicalizing himself by constructing

701
00:41:05,520 --> 00:41:08,399
Speaker 1: false suppositions and then insisting that that's the way things

702
00:41:08,440 --> 00:41:11,719
Speaker 1: are and that everyone else's perceptions are wrong. Like here's

703
00:41:11,719 --> 00:41:14,600
Speaker 1: a tweet from like May quote there isn't gonna be

704
00:41:14,600 --> 00:41:18,120
Speaker 1: There isn't gonna be a second wave. Professional epithemiologists, as

705
00:41:18,120 --> 00:41:21,440
Speaker 1: those such in Sweden know this. It's biologically and mathematically

706
00:41:21,520 --> 00:41:24,160
Speaker 1: impossible in the UK since since since a large portion

707
00:41:24,200 --> 00:41:26,759
Speaker 1: of people badly hit by and badly hit countries have

708
00:41:26,800 --> 00:41:29,360
Speaker 1: already had the virus. So like, he creates these like

709
00:41:29,440 --> 00:41:34,520
Speaker 1: false realities, and then when the world does not follow

710
00:41:34,719 --> 00:41:37,600
Speaker 1: his like bad math or logic, he thinks that there's

711
00:41:37,640 --> 00:41:40,719
Speaker 1: some grand conspiracy making things go wrong because he's convinced

712
00:41:40,719 --> 00:41:43,279
Speaker 1: that what he's saying is true, or he's acting in

713
00:41:43,280 --> 00:41:49,920
Speaker 1: bad faith. Um, it's it's it's yeah, probably he's acting

714
00:41:50,000 --> 00:41:52,440
Speaker 1: more in bad faith now. But I think back in

715
00:41:53,200 --> 00:41:55,920
Speaker 1: I think he was actually just kind of radicalizing himself.

716
00:41:56,480 --> 00:41:59,520
Speaker 1: Um and then there then here, Yeah that makes sense.

717
00:41:59,680 --> 00:42:02,840
Speaker 1: So in October he wrote a second article for lockdown

718
00:42:02,880 --> 00:42:06,359
Speaker 1: skeptic dot org where he says, quote, there's absolutely no

719
00:42:06,440 --> 00:42:08,960
Speaker 1: need for vaccines to to extinguish the pandemic. I've never

720
00:42:09,040 --> 00:42:11,440
Speaker 1: heard such nonsense talked about vaccines. You do not need

721
00:42:11,480 --> 00:42:13,960
Speaker 1: to vaccinate people who are not at risk from what disease.

722
00:42:14,840 --> 00:42:16,719
Speaker 1: So if that, if that doesn't make any sense to you,

723
00:42:16,880 --> 00:42:19,960
Speaker 1: good it should it? Uh? See, Because he didn't believe

724
00:42:20,080 --> 00:42:22,479
Speaker 1: that at the beginning of the pandemic somewhere between thirty

725
00:42:22,520 --> 00:42:27,000
Speaker 1: and people were already immune from COVID nineteen because it's

726
00:42:27,040 --> 00:42:30,719
Speaker 1: a coronavirus and we've had those before. He's written, He's

727
00:42:30,760 --> 00:42:33,279
Speaker 1: written that even the common cold will probably make you

728
00:42:33,320 --> 00:42:37,120
Speaker 1: a moon immune from COVID nineteen. Now that's not how

729
00:42:37,200 --> 00:42:42,520
Speaker 1: things work at all, but that doesn't matter. Um, everyone's

730
00:42:42,600 --> 00:42:47,640
Speaker 1: bad at everything. Yeah, so yes, uh So. At this point,

731
00:42:47,760 --> 00:42:50,919
Speaker 1: he's granted on Twitter a lot and written to very bad,

732
00:42:51,200 --> 00:42:56,960
Speaker 1: easily debunked articles on a very reputable website, Lockdown skeptic Um.

733
00:42:57,000 --> 00:42:58,759
Speaker 1: But like no one knew who he was at this point.

734
00:42:58,760 --> 00:43:01,760
Speaker 1: He was just like some dude screaming into the void.

735
00:43:02,280 --> 00:43:06,440
Speaker 1: Um until late October when The Daily Mail gave him

736
00:43:06,440 --> 00:43:11,120
Speaker 1: the opportunity to write a column. Uh So Eden in

737
00:43:11,160 --> 00:43:13,960
Speaker 1: October wrote a column for The Daily Mail headlined three

738
00:43:14,080 --> 00:43:17,000
Speaker 1: facts the Number ten Experts got wrong. Dr Michael Ian

739
00:43:17,200 --> 00:43:19,800
Speaker 1: says claims that there that the majority population is susceptible

740
00:43:19,840 --> 00:43:22,640
Speaker 1: to COVID are false, the only seven that's only seven

741
00:43:22,640 --> 00:43:25,719
Speaker 1: percent of affected in people are false, and the and

742
00:43:25,800 --> 00:43:28,040
Speaker 1: that the virus death rate of one percent are false.

743
00:43:28,640 --> 00:43:32,160
Speaker 1: So he wrote this this big thing, and it it

744
00:43:32,200 --> 00:43:34,920
Speaker 1: basically largely just repeats the lies that Yan wrote in

745
00:43:34,960 --> 00:43:38,400
Speaker 1: his two previous Lockdown skeptic articles, but slightly repackaged in

746
00:43:38,440 --> 00:43:43,880
Speaker 1: a more digestible lengthage the largest new paper in the world.

747
00:43:44,280 --> 00:43:47,360
Speaker 1: Um it declared that the deaths caused by COVID nineteen

748
00:43:47,400 --> 00:43:53,360
Speaker 1: which then totally about hundred entitled Britain, which he thinks

749
00:43:53,440 --> 00:43:56,680
Speaker 1: grows overestimate, but he thinks he thinks that they'll fizzle

750
00:43:56,719 --> 00:43:59,080
Speaker 1: out anyway, and that we should be immediately allowed to

751
00:43:59,080 --> 00:44:02,319
Speaker 1: resume to normal life. Um. Of course, since then it's

752
00:44:02,360 --> 00:44:04,480
Speaker 1: killed a lot, a lot more people. Um. But the

753
00:44:04,560 --> 00:44:07,640
Speaker 1: Daily Mail op heed went viral among you know, the

754
00:44:07,640 --> 00:44:10,480
Speaker 1: expected corners of the Internet, because like it's the thing,

755
00:44:10,560 --> 00:44:14,840
Speaker 1: like fiser VP says that these these things that the

756
00:44:14,880 --> 00:44:17,960
Speaker 1: experts are saying are all wrong. Um. The AP did

757
00:44:17,960 --> 00:44:20,480
Speaker 1: a piece on app as as we call it, did

758
00:44:20,520 --> 00:44:25,520
Speaker 1: a piece on that discussed the impact of Yiedon's column

759
00:44:25,920 --> 00:44:28,719
Speaker 1: um quote. Screenshots of the article have amassed hundreds of

760
00:44:28,719 --> 00:44:32,160
Speaker 1: thousands of views on Facebook and Instagram by accounts opposing

761
00:44:32,280 --> 00:44:36,320
Speaker 1: masks and vaccination. Several posts echoed Yieden's comments with claims

762
00:44:36,320 --> 00:44:40,200
Speaker 1: that the COVID pandemic is over, so like he he

763
00:44:40,320 --> 00:44:42,640
Speaker 1: at this point, he just he just wanted lockdowns and

764
00:44:42,640 --> 00:44:44,920
Speaker 1: that's to stop that. That's that's, that's what he was claiming.

765
00:44:45,200 --> 00:44:47,000
Speaker 1: He he he had a whole bunch of fake claims

766
00:44:47,040 --> 00:44:49,960
Speaker 1: about you know, the science of things. But like what

767
00:44:50,040 --> 00:44:52,160
Speaker 1: he wanted out of it was just two people to

768
00:44:52,200 --> 00:44:56,600
Speaker 1: go back to normal. Um and some some some social

769
00:44:56,640 --> 00:45:01,520
Speaker 1: media posts circulating UH suggested that Yiden's opinions were credible

770
00:45:01,760 --> 00:45:04,399
Speaker 1: because he because of his role as the former former

771
00:45:04,480 --> 00:45:07,840
Speaker 1: chief scientists of of the Fight of the Fightser Allergy

772
00:45:07,920 --> 00:45:11,239
Speaker 1: Respiratory Section. Um. You know, one quote on Facebook said,

773
00:45:11,400 --> 00:45:13,680
Speaker 1: here we have it. The company making the vaccines says

774
00:45:13,680 --> 00:45:15,759
Speaker 1: the pandemic is over and healthy people do not need

775
00:45:15,800 --> 00:45:20,239
Speaker 1: a vaccine. So yeah, you know, you you only need

776
00:45:20,320 --> 00:45:22,600
Speaker 1: like one small thing that you can extrapolate into a

777
00:45:22,719 --> 00:45:24,800
Speaker 1: into like a catchy bit. And then it's then it

778
00:45:24,960 --> 00:45:27,480
Speaker 1: becomes the company making the vaccines says the pandemic is

779
00:45:27,480 --> 00:45:30,399
Speaker 1: over and healthy and healthy people do not need vaccinations. Yeah.

780
00:45:30,400 --> 00:45:34,040
Speaker 1: It's like, I mean, there's this problem keeps recurring itself.

781
00:45:34,760 --> 00:45:36,879
Speaker 1: There's that guy at that town hall Biden did who

782
00:45:36,880 --> 00:45:39,799
Speaker 1: like asked him, you know, as I talked about how

783
00:45:39,880 --> 00:45:44,719
Speaker 1: is a small business owner the different uh government like

784
00:45:44,880 --> 00:45:47,840
Speaker 1: welfare programs were hurting his business and stuff, and you

785
00:45:47,880 --> 00:45:49,960
Speaker 1: look it up and it's like, well, he owns twenty

786
00:45:50,000 --> 00:45:52,759
Speaker 1: nine restaurants. He's just angry that he has to pay

787
00:45:52,800 --> 00:45:56,640
Speaker 1: people more, um, because he was bitching about having to

788
00:45:56,840 --> 00:45:58,759
Speaker 1: increase pain and like, as a small business owner, I

789
00:45:58,760 --> 00:46:00,520
Speaker 1: can't afford you, and like, yeah, do you want almost

790
00:46:00,560 --> 00:46:03,120
Speaker 1: thirty restaurants? You're not a small But all that gets

791
00:46:03,320 --> 00:46:07,319
Speaker 1: put across and like the fucking uh SoundBite is like

792
00:46:07,680 --> 00:46:10,359
Speaker 1: Biden's hurting small business owners or whatever. Nobody ever does

793
00:46:10,400 --> 00:46:12,080
Speaker 1: any additional work. That's all you need to be able

794
00:46:12,120 --> 00:46:15,320
Speaker 1: to say. It's like the head of the fire fighter's

795
00:46:15,440 --> 00:46:18,239
Speaker 1: virology lab says it's over exactly, Like well, no, he

796
00:46:18,360 --> 00:46:20,480
Speaker 1: was years ago and he's and he wasn't even he

797
00:46:20,560 --> 00:46:22,840
Speaker 1: wasn't even It wasn't even the virology lab. It was

798
00:46:23,040 --> 00:46:25,719
Speaker 1: it was the allergy lab. Wasn't that lab, But like yeah,

799
00:46:25,760 --> 00:46:27,440
Speaker 1: but that was that was what was repeated, you know,

800
00:46:27,640 --> 00:46:32,239
Speaker 1: um yeah, yeah, because yeah, spacebook is a hell whole

801
00:46:32,320 --> 00:46:39,520
Speaker 1: of death. Yeah and yep, Well in in later news,

802
00:46:39,520 --> 00:46:41,200
Speaker 1: do what do you have anything you want us to sell?

803
00:46:41,280 --> 00:46:46,400
Speaker 1: Robert Um, I have a book it's called After the Revolution.

804
00:46:46,680 --> 00:46:48,839
Speaker 1: You can find it for free. We're not done. I'm

805
00:46:48,880 --> 00:46:52,560
Speaker 1: doing an ad break. Oh you're doing an ad break. Jesus.

806
00:46:53,200 --> 00:46:55,640
Speaker 1: We still we have a lot of talk about Still.

807
00:46:56,600 --> 00:47:00,640
Speaker 1: You can't do that to me, Garris. I was implying

808
00:47:00,640 --> 00:47:03,319
Speaker 1: that you wanted to sell Dick pellets. Someone who's going

809
00:47:03,360 --> 00:47:08,840
Speaker 1: to punish you, Dick Pellett's ads in trouble. Okay for

810
00:47:08,960 --> 00:47:15,200
Speaker 1: this and for the Swiss things router routers. God damn it.

811
00:47:21,680 --> 00:47:26,640
Speaker 1: All right, we're back, Sophie and I are laughing at Garrison.

812
00:47:28,160 --> 00:47:30,040
Speaker 1: We have to talk more. I have to say some

813
00:47:30,040 --> 00:47:33,560
Speaker 1: British names here, so bear with me. Um, Yeah, I

814
00:47:33,560 --> 00:47:35,840
Speaker 1: know they're the worst, right in anything. British is so

815
00:47:35,920 --> 00:47:39,880
Speaker 1: much we came from them. You you're even more directly

816
00:47:39,920 --> 00:47:42,799
Speaker 1: British than I. Ah my god, we can't get like

817
00:47:43,000 --> 00:47:46,040
Speaker 1: it's easier to talk about fucking Ukrainian names than British ones.

818
00:47:46,200 --> 00:47:48,640
Speaker 1: These names aren't aren't actually that bad? Um? But so

819
00:47:48,640 --> 00:47:51,080
Speaker 1: Soon after his Daily Mail piece, the British Host of

820
00:47:51,120 --> 00:47:53,680
Speaker 1: Commons had at a debate about the government's response to

821
00:47:53,719 --> 00:47:57,680
Speaker 1: the pandemic, and a parliamentarian named Richard Drax called Eden

822
00:47:57,719 --> 00:48:00,560
Speaker 1: an imminent scientist and sid and it is a cool name,

823
00:48:00,880 --> 00:48:03,239
Speaker 1: um and, but he sided his he sided that. He

824
00:48:03,320 --> 00:48:05,120
Speaker 1: sided the view that the vaccine, that the virus is

825
00:48:05,120 --> 00:48:08,840
Speaker 1: both manageable and nearing its end. Um And by November

826
00:48:09,000 --> 00:48:12,920
Speaker 1: even started appearing in videos for anti lockdown groups um online,

827
00:48:12,920 --> 00:48:16,040
Speaker 1: primarily on Facebook. So he was filming videos in his

828
00:48:16,080 --> 00:48:20,680
Speaker 1: garage for UH for for these differentia and anti anti

829
00:48:20,680 --> 00:48:25,520
Speaker 1: lockdown groups. As the discussion of the upcoming Fightser vaccine

830
00:48:25,640 --> 00:48:28,279
Speaker 1: picked up the optics of like the x VP of

831
00:48:28,360 --> 00:48:32,399
Speaker 1: Fightser helped ye did and gain a dedicated following. Um

832
00:48:32,480 --> 00:48:35,919
Speaker 1: One Facebook post carries the video from November in which

833
00:48:35,920 --> 00:48:38,480
Speaker 1: he even claims that the pandemic is fun fundamentally over,

834
00:48:38,880 --> 00:48:41,280
Speaker 1: and the post has been viewed over a million times.

835
00:48:41,560 --> 00:48:46,200
Speaker 1: His his videos on Facebook are extremely popular um and

836
00:48:46,239 --> 00:48:48,480
Speaker 1: they're shared by various pages, you know, lots of like

837
00:48:48,800 --> 00:48:52,040
Speaker 1: COVID hesitancy pages, a lot of COVID skeptic pages, a

838
00:48:52,080 --> 00:48:55,160
Speaker 1: lot of vaccines excepted pages, a lot of like patriot pages,

839
00:48:55,239 --> 00:48:57,640
Speaker 1: you know, all these types of things because he's like

840
00:48:58,080 --> 00:49:01,200
Speaker 1: becoming their new celebrity, because he's you know, the x

841
00:49:01,320 --> 00:49:05,840
Speaker 1: VP of visor UM. So as as December came and

842
00:49:05,880 --> 00:49:09,160
Speaker 1: Fiser and Maderna were about to release their vaccines for

843
00:49:09,160 --> 00:49:12,600
Speaker 1: for doctors. Eden made a very hard pivot to a

844
00:49:12,800 --> 00:49:17,360
Speaker 1: like to a complete focus on anti COVID vaccine rhetoric um.

845
00:49:17,360 --> 00:49:19,840
Speaker 1: On December one, of two US in twenty Eden and

846
00:49:19,880 --> 00:49:27,520
Speaker 1: a German doctor named Wolfgang. Oh boy, wolf Gang? Whoa dog? Wow? Dog?

847
00:49:28,080 --> 00:49:33,440
Speaker 1: Whoa dog? Yeah? That works? Um him, They filed an

848
00:49:33,480 --> 00:49:36,560
Speaker 1: application and a petition with the European Medicine Agency and

849
00:49:36,560 --> 00:49:40,880
Speaker 1: the FDA for the immediate suspension of all COVID vaccination studies,

850
00:49:41,040 --> 00:49:44,400
Speaker 1: in particular the biotech and fightser one um quoting quoting

851
00:49:44,400 --> 00:49:47,840
Speaker 1: the petition, the current study designs for phase two and

852
00:49:47,960 --> 00:49:51,120
Speaker 1: three trials of the Fighter vaccine are inadequate to adequately

853
00:49:52,080 --> 00:49:59,960
Speaker 1: assess effectively effective effectiveness effectiveness. Wow, I do not a

854
00:50:00,000 --> 00:50:05,360
Speaker 1: say that word effectivecy That is weird. Efficacy. Yeah, maybe

855
00:50:05,440 --> 00:50:12,080
Speaker 1: cut that Garrison, now, I'll cut that. Somebody else has

856
00:50:12,160 --> 00:50:15,760
Speaker 1: to be knocked for not pronouncing things right. The petition,

857
00:50:17,000 --> 00:50:20,520
Speaker 1: the petitioner and public will suffer suffer irreparable harm if

858
00:50:20,520 --> 00:50:23,799
Speaker 1: the actions requested there when are not granted. Because once

859
00:50:23,840 --> 00:50:26,400
Speaker 1: the after Gay lessonses is the COVID nineteen vaccination. Both

860
00:50:26,400 --> 00:50:29,600
Speaker 1: governments and employees will make the product mandatory in general

861
00:50:29,640 --> 00:50:34,000
Speaker 1: for and in general for airline or international travel. At

862
00:50:34,000 --> 00:50:36,080
Speaker 1: the assignment of cases and non cases during the course

863
00:50:36,080 --> 00:50:37,640
Speaker 1: of the trial is not accurate, the vaccine will not

864
00:50:37,680 --> 00:50:40,120
Speaker 1: have been properly tested. The vaccine. If the vaccine is

865
00:50:40,120 --> 00:50:43,279
Speaker 1: not properly tested, important public policy decisions regarding its use

866
00:50:43,320 --> 00:50:46,839
Speaker 1: will be based on misleading evidence. So basically, he wanted

867
00:50:46,840 --> 00:50:49,960
Speaker 1: to stop COVID vaccine testing because he thought the vaccine

868
00:50:50,000 --> 00:50:52,640
Speaker 1: would pass the test. And if the vaccine passes the test,

869
00:50:52,640 --> 00:50:56,640
Speaker 1: of peopleill start getting vaccinated. UM doesn't logic, doesn't fully compute,

870
00:50:56,719 --> 00:50:59,319
Speaker 1: But you know he's doing it for his own for

871
00:50:59,360 --> 00:51:03,120
Speaker 1: his own end Um. But there was one particular part

872
00:51:03,160 --> 00:51:06,600
Speaker 1: of the forty page long petition application thing that really

873
00:51:06,640 --> 00:51:09,360
Speaker 1: caught on and has had lasting effects. UM. In the

874
00:51:09,480 --> 00:51:13,480
Speaker 1: letter Yeden and the German doctor Man stated that the

875
00:51:13,480 --> 00:51:16,600
Speaker 1: Fighter vaccine blocks a protein that's keen the formation of

876
00:51:16,640 --> 00:51:19,560
Speaker 1: the placenta in mammals. They claim that They claim that

877
00:51:19,600 --> 00:51:22,719
Speaker 1: it's possible that women who receive the vaccine could become infertile,

878
00:51:23,280 --> 00:51:26,880
Speaker 1: so that is where the vaccine causes sterilization. Things started

879
00:51:26,920 --> 00:51:31,080
Speaker 1: from ill comes back to this guy and his little application. Um,

880
00:51:31,120 --> 00:51:33,480
Speaker 1: this got reported by tons of you know, not very

881
00:51:33,560 --> 00:51:37,120
Speaker 1: reputable outlets, but it's still very influential. You know x

882
00:51:37,280 --> 00:51:41,280
Speaker 1: x X head of fightser uh says that COVID vaccine

883
00:51:41,320 --> 00:51:44,520
Speaker 1: causes female sterilization. Is you know, the types of posts

884
00:51:44,600 --> 00:51:47,520
Speaker 1: and headlines from you know, quack sites that got that

885
00:51:47,560 --> 00:51:51,960
Speaker 1: got very popular. Um. Google searches for COVID vaccine and

886
00:51:52,000 --> 00:51:56,160
Speaker 1: infertility skyrocketed by over over in the days after this

887
00:51:56,160 --> 00:52:02,640
Speaker 1: this petition thing got posted. UM. Quoting Reuters, it's impossible

888
00:52:02,680 --> 00:52:05,000
Speaker 1: to measure the impact of Vian's claim that COVID nineteen

889
00:52:05,080 --> 00:52:09,800
Speaker 1: vaccinations could cause female infertility ancdotally, anecdotally, though many women

890
00:52:09,840 --> 00:52:13,080
Speaker 1: have bought in. Bonnie Jacobson, oh Whitess in Brooklyn, New York,

891
00:52:13,200 --> 00:52:15,840
Speaker 1: can't recall where she first heard about the fertility issue,

892
00:52:16,040 --> 00:52:18,080
Speaker 1: but she but she told us that it has made

893
00:52:18,080 --> 00:52:20,520
Speaker 1: her decision more hesitant to take the vaccine, as she

894
00:52:20,640 --> 00:52:22,600
Speaker 1: liked to have a child sooner than later. That's that's

895
00:52:22,600 --> 00:52:25,200
Speaker 1: why I'm in concerned, she said. Let more research come out.

896
00:52:25,400 --> 00:52:28,600
Speaker 1: After initially declining to get vaccinated, she said, Um, she

897
00:52:28,719 --> 00:52:32,960
Speaker 1: got fired at the tavern she works at. So this

898
00:52:33,200 --> 00:52:36,680
Speaker 1: the the whole fertility thing really really caught on, um

899
00:52:36,960 --> 00:52:42,560
Speaker 1: Bloomberg New yar and it's, yeah, it's you're already so

900
00:52:42,640 --> 00:52:45,760
Speaker 1: scared when you get pregnant, right because like suddenly you've

901
00:52:45,800 --> 00:52:48,279
Speaker 1: got this this thing growing and you're trying to make

902
00:52:48,320 --> 00:52:50,399
Speaker 1: a person. Like there's a lot of scary things about that,

903
00:52:50,960 --> 00:52:54,880
Speaker 1: and it's just so easy for people to um just

904
00:52:55,040 --> 00:52:57,879
Speaker 1: slide right in there with their bullshit and it's very

905
00:52:57,920 --> 00:53:02,560
Speaker 1: frustragrating Bloomberg News. But other peace tracking COVID misinformation in Asia,

906
00:53:03,160 --> 00:53:05,800
Speaker 1: uh the like the the past few months, and they

907
00:53:05,880 --> 00:53:08,080
Speaker 1: know that claims originated by ye didn't have caught on

908
00:53:08,120 --> 00:53:10,880
Speaker 1: and spread way beyond just you know Yeden's writing and videos.

909
00:53:10,920 --> 00:53:12,360
Speaker 1: You know, like the stuff he's saying is now just

910
00:53:12,400 --> 00:53:16,319
Speaker 1: being repeated by other people. Um this past may, following uh,

911
00:53:16,400 --> 00:53:19,920
Speaker 1: following Yeden's path, like a dozen Singapore doctors wrote an

912
00:53:19,920 --> 00:53:23,160
Speaker 1: open letter questioning the safety of the MR and A vaccines,

913
00:53:23,200 --> 00:53:26,400
Speaker 1: including a claim that the shots would change one's DNA. So, like,

914
00:53:26,600 --> 00:53:28,439
Speaker 1: you see a lot of this stuff that you didn't

915
00:53:28,440 --> 00:53:30,040
Speaker 1: sort of talk about is getting talked about bout other

916
00:53:30,080 --> 00:53:32,560
Speaker 1: doctors who they're making similar like petitions and stuff in

917
00:53:32,600 --> 00:53:36,840
Speaker 1: their local areas. Um. Yeah, things here in the States

918
00:53:36,840 --> 00:53:38,360
Speaker 1: are going about as well as you would expect with

919
00:53:38,400 --> 00:53:41,440
Speaker 1: the type of stuff because Eden has turned into a

920
00:53:41,480 --> 00:53:45,799
Speaker 1: new anti VAXX like celebrity. He's like he's the new

921
00:53:45,880 --> 00:53:50,680
Speaker 1: big guy. UM Writers points out that like references to

922
00:53:50,800 --> 00:53:53,880
Speaker 1: Yeden's petition appear on the website of a group founded

923
00:53:53,960 --> 00:53:58,560
Speaker 1: by influential vaccine skeptic Robert F. Kennedy Jr. Um, who

924
00:53:58,560 --> 00:54:02,680
Speaker 1: has been recently banned from Instant Graham Uhn had had

925
00:54:02,680 --> 00:54:05,080
Speaker 1: more bullet while he was a kid back then. Still

926
00:54:05,120 --> 00:54:11,640
Speaker 1: either way, UM and uh there was another popular vaccine skeptic,

927
00:54:11,840 --> 00:54:19,240
Speaker 1: Um Michel Malkin reported that uh Eden's shared Eden's concerned

928
00:54:19,239 --> 00:54:21,040
Speaker 1: about fertility issues in a call him last month under

929
00:54:21,040 --> 00:54:24,480
Speaker 1: the under the headline pregnant woman Beware the COVID shots

930
00:54:25,120 --> 00:54:28,040
Speaker 1: UM and a blog post with an Alarmer's headline head

931
00:54:28,040 --> 00:54:31,279
Speaker 1: of Fightser research COVID vaccine is female sterilization, which a

932
00:54:31,640 --> 00:54:35,120
Speaker 1: thousands of times on Facebook. Um he got he got

933
00:54:35,200 --> 00:54:38,799
Speaker 1: very popular in December and January for this particular kind

934
00:54:38,840 --> 00:54:42,200
Speaker 1: of thing that he fabricated. UM. A lot of his

935
00:54:42,239 --> 00:54:45,799
Speaker 1: former colleagues at Fightser say like they no longer recognize

936
00:54:46,200 --> 00:54:48,560
Speaker 1: like Eden as the guy they once knew. You know,

937
00:54:48,800 --> 00:54:50,880
Speaker 1: they used to describe him as like a knowledgeable and

938
00:54:50,920 --> 00:54:53,800
Speaker 1: intelligent who was who was you know? Very evidence based

939
00:54:53,960 --> 00:54:56,080
Speaker 1: um and generally didn't like to be like in the

940
00:54:56,120 --> 00:54:59,600
Speaker 1: public eye very much. UM. An old friend of his,

941
00:54:59,640 --> 00:55:03,840
Speaker 1: who hold the dreary in macular biology um uh, replied

942
00:55:03,880 --> 00:55:06,280
Speaker 1: to a post Dean made on Twitter because in December,

943
00:55:06,360 --> 00:55:08,759
Speaker 1: you made a post on Twitter with a with a

944
00:55:08,840 --> 00:55:11,919
Speaker 1: sign that said ditched the mask. And Yan's old friend

945
00:55:11,960 --> 00:55:14,319
Speaker 1: was like, Mike, what the hell are you actively trying

946
00:55:14,360 --> 00:55:15,879
Speaker 1: to kill people? Do you realize that what you're doing

947
00:55:15,920 --> 00:55:19,400
Speaker 1: is wrong and you're suggestionable result in deaths? Um? And

948
00:55:19,440 --> 00:55:21,800
Speaker 1: he had, like a number of other friends from Feiser

949
00:55:21,920 --> 00:55:23,880
Speaker 1: who have who have you know, talked about how they

950
00:55:23,920 --> 00:55:25,279
Speaker 1: used to have like coffee with him and had a

951
00:55:25,280 --> 00:55:27,279
Speaker 1: good time, that he always seem knowledgable and intelligent and

952
00:55:27,280 --> 00:55:30,120
Speaker 1: a good scientist. UM. And I obviously disagree with Mike

953
00:55:30,160 --> 00:55:32,719
Speaker 1: and his most most recent views. Uh, this does not

954
00:55:32,880 --> 00:55:35,360
Speaker 1: sound like the guy I knew twenty years ago. So

955
00:55:35,440 --> 00:55:38,239
Speaker 1: like a lot of a lot of weird weird stuff. Um.

956
00:55:38,400 --> 00:55:40,640
Speaker 1: All of all of his old co workers and colleagues

957
00:55:40,680 --> 00:55:46,480
Speaker 1: are just baffled. UM. Another another friend of his, was

958
00:55:46,800 --> 00:55:49,640
Speaker 1: recounted here, recounted hearing you didn't in a radio interview

959
00:55:49,760 --> 00:55:52,000
Speaker 1: last year. Quote there there was a tone in his

960
00:55:52,120 --> 00:55:54,560
Speaker 1: voice that was nothing like I've ever remembered of Mike.

961
00:55:55,080 --> 00:55:59,319
Speaker 1: He was very angry and very bitter. UM. Yeah, so

962
00:55:59,480 --> 00:56:02,040
Speaker 1: it is, it's it's there's a lot a lot of

963
00:56:02,040 --> 00:56:05,719
Speaker 1: his friends are just extremely confused. UM and UH. And

964
00:56:05,960 --> 00:56:09,280
Speaker 1: earlier this year, a group of his former fighter colleagues,

965
00:56:09,760 --> 00:56:12,359
Speaker 1: UM wrote, wrote him like a private letter UM, and

966
00:56:12,719 --> 00:56:16,239
Speaker 1: a version of it was sent to UM was sent

967
00:56:16,640 --> 00:56:21,880
Speaker 1: to Reuter's UH. One section reads them We've become happisode.

968
00:56:21,920 --> 00:56:24,080
Speaker 1: I thought, I thought about it, and I decided against

969
00:56:24,080 --> 00:56:26,319
Speaker 1: it for this particular one. UM. I can go back

970
00:56:26,400 --> 00:56:29,160
Speaker 1: later if we want, UM, but quote, we have become

971
00:56:29,200 --> 00:56:31,200
Speaker 1: acutely aware of your views on COVID nineteen over the

972
00:56:31,239 --> 00:56:33,680
Speaker 1: past few months. The single minded, this lack of scientific

973
00:56:33,719 --> 00:56:36,640
Speaker 1: rigor and one side of interpretation and of often poor

974
00:56:36,719 --> 00:56:39,200
Speaker 1: quality data is far removed from the Michael even we

975
00:56:39,280 --> 00:56:42,799
Speaker 1: once respected and enjoyed working with. They also noted his

976
00:56:42,880 --> 00:56:46,320
Speaker 1: you know, vast following on social media and the claim

977
00:56:46,360 --> 00:56:49,600
Speaker 1: that infertility has spread globally. UM and they ended it

978
00:56:49,640 --> 00:56:52,080
Speaker 1: by saying, we're very worried that you're putting people's health

979
00:56:52,160 --> 00:56:57,120
Speaker 1: at risk. So even particular background gives him so much,

980
00:56:57,960 --> 00:57:00,879
Speaker 1: so much potential danger, you know, even even more than

981
00:57:00,920 --> 00:57:04,520
Speaker 1: like um, you know the guy who started the renaissance

982
00:57:04,600 --> 00:57:06,640
Speaker 1: in in anti vaccine stuff. I mean, like he's he

983
00:57:06,680 --> 00:57:08,279
Speaker 1: that got sponsil for a lot of deaths too. But

984
00:57:08,320 --> 00:57:10,840
Speaker 1: like because of these, because of Eunan's connection to Fightser,

985
00:57:11,200 --> 00:57:14,600
Speaker 1: he has like a lot of optics potential for these

986
00:57:14,640 --> 00:57:17,600
Speaker 1: types of like conspiracy theory sites and and anti vax

987
00:57:17,760 --> 00:57:21,840
Speaker 1: sites UM. And since January, as COVID vaccinations have become

988
00:57:21,880 --> 00:57:24,880
Speaker 1: more available, Etan's gotten fully drawn in into the anti

989
00:57:24,960 --> 00:57:29,640
Speaker 1: vacction conspiracy theory media ecosystem UM. In March, it was

990
00:57:29,680 --> 00:57:32,200
Speaker 1: announced that he was going to be headlining the Awakening

991
00:57:32,320 --> 00:57:36,360
Speaker 1: World Truth Summit. It's like the big conspiracy theory convention UM.

992
00:57:36,440 --> 00:57:38,360
Speaker 1: It was it's been previously headlined by the likes of

993
00:57:38,360 --> 00:57:42,720
Speaker 1: Alex Jones and David Ike UM. I watched his panel.

994
00:57:43,040 --> 00:57:46,000
Speaker 1: It was very bad. UM. And then in May, June

995
00:57:46,040 --> 00:57:47,920
Speaker 1: and July he has really kicked up the number of

996
00:57:47,960 --> 00:57:52,760
Speaker 1: interviews for like podcasts and and documentaries UM and he's

997
00:57:52,760 --> 00:57:54,080
Speaker 1: starting to give like a lot of like in person

998
00:57:54,120 --> 00:57:57,360
Speaker 1: speeches at like rallies and stuff. Um, I've I've watched

999
00:57:57,880 --> 00:58:00,560
Speaker 1: tons of hours of his speeches and stuff, and he's

1000
00:58:00,560 --> 00:58:02,920
Speaker 1: getting better at public speaking. He's he's like, he's like

1001
00:58:03,000 --> 00:58:05,720
Speaker 1: he's he's developing a set of talking points that really

1002
00:58:05,760 --> 00:58:09,120
Speaker 1: get like a reaction out of people. Um. Like he's

1003
00:58:09,160 --> 00:58:11,520
Speaker 1: figuring out like what things he says can get people

1004
00:58:11,520 --> 00:58:13,960
Speaker 1: the most the most like riled up. And then he's like,

1005
00:58:14,040 --> 00:58:17,240
Speaker 1: you know, polishing different sections of speeches so he can

1006
00:58:17,280 --> 00:58:19,440
Speaker 1: like be a much better, you know, and much more

1007
00:58:19,440 --> 00:58:24,280
Speaker 1: influential speaker. Um. His current kind of greatest hits of

1008
00:58:24,320 --> 00:58:28,280
Speaker 1: like claims that he's saying, uh, his his probably the

1009
00:58:28,320 --> 00:58:32,200
Speaker 1: one he says the most is about asymptomatic infection. Um.

1010
00:58:32,280 --> 00:58:35,840
Speaker 1: He thinks that if you are not symptomatic, you cannot

1011
00:58:35,880 --> 00:58:39,720
Speaker 1: transmit any disease. He he thinks that like lockdowns are

1012
00:58:39,720 --> 00:58:43,200
Speaker 1: pointless because the only way you can trans transmit disease

1013
00:58:43,280 --> 00:58:45,520
Speaker 1: is if you are showing symptoms, otherwise you're not actually sick.

1014
00:58:45,600 --> 00:58:47,680
Speaker 1: That's the thing he repeats all the time. Um, And

1015
00:58:47,720 --> 00:58:49,720
Speaker 1: he thinks that lockdown because of because of this false

1016
00:58:49,760 --> 00:58:53,080
Speaker 1: claim that he's convinced himself of He thinks that, like

1017
00:58:53,440 --> 00:58:56,400
Speaker 1: the lockdowns are just like a government plot to control us,

1018
00:58:56,440 --> 00:59:00,680
Speaker 1: and you know, conspiracy x x x x x whatever. UM.

1019
00:59:00,880 --> 00:59:03,080
Speaker 1: Another one of his favorites is saying that variants aren't

1020
00:59:03,080 --> 00:59:06,280
Speaker 1: actually a problem because they either don't really exist or

1021
00:59:06,320 --> 00:59:08,560
Speaker 1: they're so similar to the initial strain that everyone should

1022
00:59:08,560 --> 00:59:11,520
Speaker 1: have immunity by now anyway, and we already know that

1023
00:59:11,520 --> 00:59:13,600
Speaker 1: that's not how COVID immunity works in the first place,

1024
00:59:13,600 --> 00:59:15,200
Speaker 1: Like like there are people who got sick at the

1025
00:59:15,200 --> 00:59:18,560
Speaker 1: beginning of the pandemic who got COVID again, like not

1026
00:59:18,560 --> 00:59:21,920
Speaker 1: not long after, Like that's that's not how it works.

1027
00:59:22,080 --> 00:59:25,439
Speaker 1: But that does not matter to uh to to eat

1028
00:59:25,480 --> 00:59:29,240
Speaker 1: in UM. And then besides all the stuff we've already mentioned,

1029
00:59:29,800 --> 00:59:32,920
Speaker 1: UM because relatively a lot of people, because so many

1030
00:59:32,920 --> 00:59:35,800
Speaker 1: people have gotten at least one dose by now, he

1031
00:59:36,000 --> 00:59:38,919
Speaker 1: Eten has kind of switched to talk from talking about

1032
00:59:39,000 --> 00:59:42,040
Speaker 1: vaccines to talking about booster shots a lot. He he

1033
00:59:42,080 --> 00:59:45,200
Speaker 1: insists that booster shots will kill you. He thinks that

1034
00:59:45,240 --> 00:59:47,440
Speaker 1: he thinks that booster shots aren't a thing, and they

1035
00:59:47,440 --> 00:59:51,480
Speaker 1: were invented specifically for this pandemic to kill people. UM.

1036
00:59:51,520 --> 00:59:56,320
Speaker 1: In late April one, in an hour long interview um

1037
00:59:56,560 --> 00:59:58,840
Speaker 1: eating as as described as the former vice president and

1038
00:59:58,880 --> 01:00:01,600
Speaker 1: chief SCIENTISTI visor um He a video of him went

1039
01:00:01,680 --> 01:00:05,840
Speaker 1: viral on Facebook, claiming that that the global government led

1040
01:00:05,920 --> 01:00:09,320
Speaker 1: vaccine role notes were a ploy to initiate a mass

1041
01:00:09,360 --> 01:00:14,080
Speaker 1: depopulation event. Um specifically, Dan said that recipients of the

1042
01:00:14,080 --> 01:00:18,080
Speaker 1: Bocher shots will die within two years. So he's he's

1043
01:00:18,280 --> 01:00:22,120
Speaker 1: had this mass depopulation kind of thing going on ever

1044
01:00:22,160 --> 01:00:24,080
Speaker 1: since April. That's kind of been another one of his things.

1045
01:00:24,080 --> 01:00:26,520
Speaker 1: He talks about a lot um in terms of you know,

1046
01:00:27,320 --> 01:00:31,120
Speaker 1: government governmental control. He's like, all the governments decided to

1047
01:00:31,200 --> 01:00:33,920
Speaker 1: invent covide at the same time, and they're planning something

1048
01:00:33,960 --> 01:00:36,480
Speaker 1: to depopulate the masses or whatever. It is, the kind

1049
01:00:36,480 --> 01:00:39,560
Speaker 1: of thing that he's talking about now. Um he like

1050
01:00:39,760 --> 01:00:42,840
Speaker 1: he does think that like COVID's real. He just thinks

1051
01:00:42,840 --> 01:00:44,880
Speaker 1: that most of us are already immune because we've already

1052
01:00:44,880 --> 01:00:47,120
Speaker 1: had a common cold before. Or he thinks that the

1053
01:00:47,120 --> 01:00:49,720
Speaker 1: treatments are extremely manageable. Like like he's he's a big

1054
01:00:49,720 --> 01:00:52,479
Speaker 1: supporter of hydroxy chloroquine. He thinks that he he thinks

1055
01:00:52,480 --> 01:00:55,000
Speaker 1: that that like can save everybody he's like the fact

1056
01:00:55,000 --> 01:00:56,440
Speaker 1: that people, the fact, the fact of the fact, that

1057
01:00:56,520 --> 01:00:59,120
Speaker 1: fact the doctors have not been giving that out means

1058
01:00:59,120 --> 01:01:01,920
Speaker 1: that doctors should be executed for crimes because they're wilfully

1059
01:01:02,000 --> 01:01:06,080
Speaker 1: not giving out this life saving drug. Um. And the

1060
01:01:06,160 --> 01:01:09,760
Speaker 1: last thing he's been harping on a lot is vaccine passports. Um.

1061
01:01:09,800 --> 01:01:12,120
Speaker 1: And he's he's still going on about this, saying like

1062
01:01:12,280 --> 01:01:15,320
Speaker 1: vaccine passports are the end of liberal democracy. And he's

1063
01:01:15,360 --> 01:01:18,680
Speaker 1: like constantly and saying like next week, vaccin, vaccin passports

1064
01:01:18,680 --> 01:01:20,640
Speaker 1: are gonna happen. You know, it's it's it's it's always upcoming,

1065
01:01:20,680 --> 01:01:23,000
Speaker 1: Like we're always just on the curb of making this

1066
01:01:23,120 --> 01:01:28,240
Speaker 1: vaccine passport thing. I mean, we haven's latest news. Yeah,

1067
01:01:28,280 --> 01:01:31,400
Speaker 1: he is losing his mind, Yeah he is. He is

1068
01:01:31,480 --> 01:01:34,760
Speaker 1: not he's not doing he is. Yeah, I mean he's

1069
01:01:34,840 --> 01:01:36,480
Speaker 1: he's getting a lot of press, he's getting a lot

1070
01:01:36,480 --> 01:01:40,640
Speaker 1: of interviews, and you know, you know obscure podcasts, but

1071
01:01:40,880 --> 01:01:43,520
Speaker 1: podcasts that have like a big following though, because like

1072
01:01:43,560 --> 01:01:45,320
Speaker 1: you know, this is this is a very popular corner

1073
01:01:45,320 --> 01:01:49,240
Speaker 1: of the internet. UM. So yeah. The videos of his

1074
01:01:49,280 --> 01:01:52,440
Speaker 1: speeches and interviews have gone extremely extremely popular on Facebook

1075
01:01:52,440 --> 01:01:55,320
Speaker 1: and Instagram, with tens and thousand, tens of thousands of

1076
01:01:55,360 --> 01:01:59,440
Speaker 1: views sometimes millions um on on the platform, despite Facebook's

1077
01:01:59,440 --> 01:02:02,840
Speaker 1: effort to move such content. UM. Even and even when

1078
01:02:02,840 --> 01:02:04,720
Speaker 1: they do remove the content, that doesn't make things a

1079
01:02:04,760 --> 01:02:08,720
Speaker 1: whole lot better because I found that many people, instead

1080
01:02:08,760 --> 01:02:11,760
Speaker 1: of just posting videos straight to Facebook are now sharing

1081
01:02:11,800 --> 01:02:15,600
Speaker 1: bit huote links um to to two videos of Yeden

1082
01:02:15,680 --> 01:02:19,200
Speaker 1: talking about all of this ship UM one bit shoot link.

1083
01:02:20,000 --> 01:02:22,240
Speaker 1: I found that, I like, it's like an hour long

1084
01:02:22,360 --> 01:02:25,600
Speaker 1: video just passed over three d thousand views. I think

1085
01:02:25,880 --> 01:02:29,720
Speaker 1: it got like fifty thousand views in the past week. UM.

1086
01:02:29,760 --> 01:02:33,520
Speaker 1: And that particular video on but shoote ends in a

1087
01:02:33,520 --> 01:02:36,760
Speaker 1: pretty disturbing way. UM. And I've seen ye didn't have

1088
01:02:36,920 --> 01:02:41,400
Speaker 1: the same discussion in various interviews since then. UM, I'm

1089
01:02:41,400 --> 01:02:44,480
Speaker 1: gonna gonna quote, gonna gonna do a dramatic reading of

1090
01:02:44,560 --> 01:02:47,880
Speaker 1: the end of end of Yean's video here. Um. The

1091
01:02:47,960 --> 01:02:50,400
Speaker 1: Nazi doctors were pretty much all hanged for their crimes

1092
01:02:50,440 --> 01:02:53,080
Speaker 1: against humanity. And I'm sorry to say that NHS doctors

1093
01:02:53,080 --> 01:02:55,960
Speaker 1: who are ministering these agents vaccines to people who are

1094
01:02:56,000 --> 01:02:58,400
Speaker 1: not at risk from the virus because he leaves people

1095
01:02:58,400 --> 01:03:00,840
Speaker 1: aren't a risk because they're already immune um and are

1096
01:03:00,880 --> 01:03:04,040
Speaker 1: not telling them that they are experimental. Are also breaching

1097
01:03:04,320 --> 01:03:13,280
Speaker 1: the Nuremberg Code. And I believe the Nuremberg. We'remberber, Neremberg,

1098
01:03:14,000 --> 01:03:17,880
Speaker 1: no Uremberg. My mouse doesn't like so I I have

1099
01:03:18,840 --> 01:03:20,400
Speaker 1: there's something happen to me as a kid, and I

1100
01:03:20,440 --> 01:03:23,280
Speaker 1: had weird. I have a very narrow palette and extremely

1101
01:03:23,360 --> 01:03:25,720
Speaker 1: high top of my mouth and it makes a lot

1102
01:03:25,760 --> 01:03:28,400
Speaker 1: of pronunciation extremely difficult. Now I could have had this

1103
01:03:28,440 --> 01:03:33,919
Speaker 1: fix as a kid, but I didn't. That's like say,

1104
01:03:34,240 --> 01:03:39,400
Speaker 1: not being able to say Nuremberg, for not being able

1105
01:03:39,440 --> 01:03:43,560
Speaker 1: to say Ariana Grande or Beyonce. I've never heard of

1106
01:03:43,600 --> 01:03:46,640
Speaker 1: either of those people. And he closes this quote by

1107
01:03:46,680 --> 01:03:49,600
Speaker 1: saying that you know they are. They're breaching the code,

1108
01:03:50,000 --> 01:03:53,360
Speaker 1: and I think there should be a Nuremberg too. And

1109
01:03:53,680 --> 01:03:55,520
Speaker 1: that's the thing he talks about a lot and the interviews.

1110
01:03:55,520 --> 01:04:00,240
Speaker 1: He talks about how hanging of NHS doctors are like

1111
01:04:00,280 --> 01:04:01,880
Speaker 1: just around the corner, like we're gonna have to like

1112
01:04:02,400 --> 01:04:04,080
Speaker 1: we're gonna have to like put the people on trial

1113
01:04:04,440 --> 01:04:08,640
Speaker 1: and hang them publicly for their crimes. And that's goods.

1114
01:04:10,800 --> 01:04:16,000
Speaker 1: Almost no one responsible exactly. That's the thing, like I

1115
01:04:16,080 --> 01:04:19,840
Speaker 1: got bad names about what happened to the Nazi doctors,

1116
01:04:19,960 --> 01:04:24,760
Speaker 1: about the etsu. UM, and he also gives like impassioned,

1117
01:04:24,760 --> 01:04:28,600
Speaker 1: please for like trying to spread this type of information. UM,

1118
01:04:28,800 --> 01:04:31,440
Speaker 1: find other people like you who aren't quite sure but

1119
01:04:31,480 --> 01:04:34,480
Speaker 1: are suspicious, find people, find find someone else to talk

1120
01:04:34,480 --> 01:04:36,800
Speaker 1: to and UM. And if you and if you find

1121
01:04:36,840 --> 01:04:38,760
Speaker 1: someone that says, oh, I'm glad you said that, because

1122
01:04:38,800 --> 01:04:40,440
Speaker 1: I was I thought I thought this was lies to,

1123
01:04:41,000 --> 01:04:42,760
Speaker 1: then both of you can go find a third person.

1124
01:04:43,040 --> 01:04:44,800
Speaker 1: Once you've woken up and realize that you're being lied to,

1125
01:04:44,880 --> 01:04:47,439
Speaker 1: it's very frightening. Find someone else who feels the same.

1126
01:04:47,560 --> 01:04:49,360
Speaker 1: Don't be afraid to be a little bit wrong. The

1127
01:04:49,360 --> 01:04:51,600
Speaker 1: people around you don't know any better than you do.

1128
01:04:52,120 --> 01:04:54,360
Speaker 1: If they're experts, and they probably won't be, But if

1129
01:04:54,400 --> 01:04:56,480
Speaker 1: they are, they'll be able to tell what you're saying

1130
01:04:56,600 --> 01:04:58,880
Speaker 1: is actually true. And if they, like you are, just

1131
01:04:59,000 --> 01:05:02,000
Speaker 1: are just suspicious not really experts, then they're not really

1132
01:05:02,040 --> 01:05:04,160
Speaker 1: going to be able to tell that you're wrong. So

1133
01:05:04,240 --> 01:05:06,560
Speaker 1: if you think something's wrong, you're right, go to go

1134
01:05:06,760 --> 01:05:08,840
Speaker 1: tell someone else who feels the same. Never look back.

1135
01:05:08,880 --> 01:05:11,360
Speaker 1: It's your last chance to rescue your own liberty and

1136
01:05:11,400 --> 01:05:14,520
Speaker 1: your children's and your grandchildren's So none of that makes

1137
01:05:14,520 --> 01:05:19,640
Speaker 1: any sense. Totally baffling, because like he's talking about, don't

1138
01:05:19,640 --> 01:05:21,600
Speaker 1: be afraid to be a little bit wrong about the

1139
01:05:21,600 --> 01:05:24,000
Speaker 1: things you're spreading. So like that was one of the

1140
01:05:24,000 --> 01:05:26,960
Speaker 1: most bizarre ends of his video because it's like he's

1141
01:05:27,000 --> 01:05:29,840
Speaker 1: telling people to be wrong about these things and he

1142
01:05:29,880 --> 01:05:33,200
Speaker 1: almost knows it, because like, ever since April he has

1143
01:05:33,280 --> 01:05:37,480
Speaker 1: just gone fully down this this client this like conspiracy

1144
01:05:37,560 --> 01:05:40,480
Speaker 1: rabbit hole. He is like he is becoming the new

1145
01:05:40,680 --> 01:05:45,600
Speaker 1: celebrity in this corner of the Internet. And that's that's

1146
01:05:45,640 --> 01:05:49,440
Speaker 1: kind of how he's developed into a person. UM. We're

1147
01:05:49,440 --> 01:05:52,960
Speaker 1: gonna end with some slight, slightly good news. UM. On

1148
01:05:53,200 --> 01:05:57,280
Speaker 1: this last February, some old tweets of his surfaced UM

1149
01:05:57,320 --> 01:06:00,600
Speaker 1: who's by by then Ian's account had all a hundred

1150
01:06:00,600 --> 01:06:03,800
Speaker 1: thousand followers on Twitter. Um, but but some old tates

1151
01:06:03,800 --> 01:06:06,480
Speaker 1: of his, like like like a few dozen of them

1152
01:06:06,480 --> 01:06:10,840
Speaker 1: were extremely bigoted and islamophobic. UM got screenshot at and

1153
01:06:11,000 --> 01:06:14,160
Speaker 1: shared around. Many of them are captured um uh in

1154
01:06:14,240 --> 01:06:17,200
Speaker 1: time by archive dot org. UM. And the next day

1155
01:06:17,520 --> 01:06:20,480
Speaker 1: Eden made his last tweet saying I'll soon be gone,

1156
01:06:20,560 --> 01:06:24,320
Speaker 1: and then two days later his Twitter account was gone. Um.

1157
01:06:24,440 --> 01:06:27,080
Speaker 1: His LinkedIn profile has also changed. He's now saying that

1158
01:06:27,120 --> 01:06:29,720
Speaker 1: he's fully retired, and a month later he made a

1159
01:06:29,720 --> 01:06:33,040
Speaker 1: final update on LinkedIn that says, I now seek opportunities

1160
01:06:33,080 --> 01:06:36,400
Speaker 1: to relocate to the USA and to continue opposing inappropriate

1161
01:06:36,400 --> 01:06:39,640
Speaker 1: policy responses to COVID nineteen. So he's planning, he's planning

1162
01:06:39,640 --> 01:06:44,720
Speaker 1: to move to the States and continue this vaccine misinformation

1163
01:06:44,840 --> 01:06:47,720
Speaker 1: celebrity thing that he's been doing. And that's that's kind

1164
01:06:47,720 --> 01:06:51,600
Speaker 1: of the that is where he's at now. Um he's

1165
01:06:51,880 --> 01:06:55,440
Speaker 1: July June. These he's like, uh, this summer, like the

1166
01:06:55,480 --> 01:07:01,120
Speaker 1: summer one, he has gotten extremely popular. Um he is.

1167
01:07:01,240 --> 01:07:04,680
Speaker 1: He is like he is like the spokesperson for this

1168
01:07:04,840 --> 01:07:08,040
Speaker 1: entire for this entire movement. He's polishing his talking points.

1169
01:07:08,640 --> 01:07:11,720
Speaker 1: Um yeah. And he's like constructed this false reality that

1170
01:07:11,760 --> 01:07:16,400
Speaker 1: he now like lives in and is just is just

1171
01:07:16,920 --> 01:07:20,640
Speaker 1: is saying saying things that to us make no sense,

1172
01:07:20,880 --> 01:07:23,920
Speaker 1: but are extremely influential to people who are already skeptical

1173
01:07:24,440 --> 01:07:26,400
Speaker 1: or who already aren't you know, don't like vaccines very

1174
01:07:26,480 --> 01:07:31,680
Speaker 1: much because of his connections to the Fiser company. Um yeah,

1175
01:07:31,960 --> 01:07:34,520
Speaker 1: So that's why like his his his initial tensions are

1176
01:07:34,560 --> 01:07:36,280
Speaker 1: a little bit murky. It's harder. It's hard to see

1177
01:07:36,280 --> 01:07:39,640
Speaker 1: what exactly he's doing, Like he doesn't take donations or anything.

1178
01:07:39,960 --> 01:07:42,919
Speaker 1: He may he may be being paid for like appearances,

1179
01:07:43,360 --> 01:07:46,280
Speaker 1: but it's unclear if he has like any monetary goals

1180
01:07:46,320 --> 01:07:49,120
Speaker 1: from this. And then like you know, the previous vaccine

1181
01:07:49,120 --> 01:07:52,960
Speaker 1: the previous like doctor vaccine guy you know invested in

1182
01:07:53,360 --> 01:07:57,840
Speaker 1: the invested in those other vaccine companies, right um to

1183
01:07:57,400 --> 01:07:59,680
Speaker 1: to to sell those three, to sell the three separate

1184
01:07:59,760 --> 01:08:02,520
Speaker 1: vacs instead of instead of the world together. We don't

1185
01:08:02,560 --> 01:08:05,840
Speaker 1: know if Eden has any financial kind of things at

1186
01:08:05,840 --> 01:08:07,840
Speaker 1: stake here or if he's just doing this because he

1187
01:08:07,840 --> 01:08:12,680
Speaker 1: actually actually believes in it. UM. But he's getting tens

1188
01:08:12,680 --> 01:08:14,720
Speaker 1: of thousands of views on bit shoot, hundreds of hundred

1189
01:08:14,720 --> 01:08:17,320
Speaker 1: thousands views on bit shoot, millions of views on Facebook

1190
01:08:17,840 --> 01:08:22,680
Speaker 1: UM and his is just popularity has skyrocketed UM in

1191
01:08:22,720 --> 01:08:24,640
Speaker 1: the past few months, ever since he went down like

1192
01:08:24,680 --> 01:08:29,800
Speaker 1: the conspiracy theory rabbit hole. UM. And that is Michael Eden,

1193
01:08:29,920 --> 01:08:34,960
Speaker 1: former former allergy researcher and now the newest celebrity in

1194
01:08:35,000 --> 01:08:39,880
Speaker 1: the anti vax world. Well, I hope he falls off

1195
01:08:39,920 --> 01:08:44,240
Speaker 1: of the side of a cliff. I hope like that

1196
01:08:44,360 --> 01:08:47,080
Speaker 1: for him. I would like it if a bad thing

1197
01:08:47,160 --> 01:08:50,360
Speaker 1: happened and he was not around anymore. I don't know,

1198
01:08:50,960 --> 01:08:55,200
Speaker 1: what do you? What do you? What else can you say? Yeah?

1199
01:08:55,240 --> 01:08:57,559
Speaker 1: I mean like there's there's nothing he can do. There's

1200
01:08:57,600 --> 01:08:59,760
Speaker 1: like nothing because like his damage has his damage is

1201
01:08:59,760 --> 01:09:01,479
Speaker 1: alread been done in a lot of ways. He's like,

1202
01:09:01,640 --> 01:09:04,479
Speaker 1: you can't find a way to do more. But yeah,

1203
01:09:04,520 --> 01:09:06,080
Speaker 1: the thing is he will find a way to do more.

1204
01:09:06,479 --> 01:09:08,920
Speaker 1: He'll find a way to do more. These people always do.

1205
01:09:09,280 --> 01:09:13,559
Speaker 1: And that's I don't know, Garrison, You've got a fun

1206
01:09:13,680 --> 01:09:16,240
Speaker 1: future to look forward to. We were good stewards of

1207
01:09:16,280 --> 01:09:19,600
Speaker 1: the world, buddy, man. When I was your age. The

1208
01:09:19,680 --> 01:09:22,960
Speaker 1: things we said about the Internet were so ridiculous. My god,

1209
01:09:23,280 --> 01:09:25,880
Speaker 1: it was gonna free humanity. It was gonna be like

1210
01:09:26,000 --> 01:09:29,880
Speaker 1: the end of of of control by these these these

1211
01:09:30,160 --> 01:09:33,080
Speaker 1: corporations and and evil governments, and people were going to

1212
01:09:33,160 --> 01:09:35,360
Speaker 1: finally be free and knowledge was going to spread to

1213
01:09:35,400 --> 01:09:39,240
Speaker 1: every corner of the globe. Garrison, we were so stupid,

1214
01:09:39,560 --> 01:09:46,440
Speaker 1: And now your whole generations fun. Sorry, man. Yeah. Yeah,

1215
01:09:46,600 --> 01:09:49,040
Speaker 1: there's a lot of kids at those anti at those

1216
01:09:49,040 --> 01:09:54,400
Speaker 1: anti anti anti vaccine rallies that has been appearing at. Yeah,

1217
01:09:54,560 --> 01:09:57,200
Speaker 1: and all of those pages on Facebook. Most of them

1218
01:09:57,200 --> 01:10:00,960
Speaker 1: are moms, the ones that you know follow his weird

1219
01:10:01,240 --> 01:10:07,479
Speaker 1: conspiracy theory podcasts. Mm hmm yeah, yep. Well as long

1220
01:10:07,560 --> 01:10:11,880
Speaker 1: as he doesn't start publicly hanging doctors, I think no,

1221
01:10:12,000 --> 01:10:14,960
Speaker 1: we're good, I mean, god, at least eighteen months away

1222
01:10:14,960 --> 01:10:19,360
Speaker 1: from that. The I think the fact that he is

1223
01:10:19,400 --> 01:10:21,280
Speaker 1: trying to move to the States is telling for what

1224
01:10:21,320 --> 01:10:24,080
Speaker 1: he wants to do. But like where he sees a

1225
01:10:24,400 --> 01:10:26,880
Speaker 1: future for that guy and loss of status, you need

1226
01:10:26,960 --> 01:10:31,879
Speaker 1: us exactly. Yeah, but now you can talk about your book.

1227
01:10:32,080 --> 01:10:34,000
Speaker 1: I can, I can be can pivot to to to

1228
01:10:34,400 --> 01:10:38,640
Speaker 1: your book now? No, No, I just want do you

1229
01:10:38,640 --> 01:10:40,760
Speaker 1: have his address? Garrison? If you docks this guy yet,

1230
01:10:41,600 --> 01:10:50,040
Speaker 1: I'll talk to you after the phone coast on. Uh. Well,

1231
01:10:50,800 --> 01:10:54,479
Speaker 1: this has been behind the Bastards, the podcast where nothing

1232
01:10:54,520 --> 01:10:57,800
Speaker 1: good ever happens, but you keep listening anyway because you

1233
01:10:57,880 --> 01:11:00,559
Speaker 1: hate yourself. I don't know. Shit. That's not a good

1234
01:11:00,600 --> 01:11:07,360
Speaker 1: way to end a podcast episode. Um, so be how

1235
01:11:07,360 --> 01:11:10,160
Speaker 1: do we end a podcast episode? My computer is crashing

1236
01:11:10,240 --> 01:11:13,160
Speaker 1: right now, so it's time. We love about forty of

1237
01:11:13,200 --> 01:11:20,840
Speaker 1: you statistically speaking, statistically Dally Bye,