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Speaker 1: Mother Knows Dad starring Nicole and Jemmy and Maria qk.

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Speaker 2: Hi.

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Speaker 1: Everyone welcome The Mother Knows Death. We have to tell

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Speaker 1: you the funniest story ever. So this weekend we had

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Speaker 1: my dad's side of the family annual Christmas party that

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Speaker 1: we have every year and we look forward to it,

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Speaker 1: and we have lots of cousins and aunts and uncles

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Speaker 1: that are listeners. So high and hey, guys, hey, let's

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Speaker 1: think of who specifically came up to us. Andrea and

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Speaker 1: Al and Jimmy and of course Geena Revernet Alle Natalie.

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Speaker 1: So yeah, we definitely have a bunch of our family

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Speaker 1: members who are listeners. But so my dad comes up

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Speaker 1: to me at the party and he goes, hey, I

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Speaker 1: finally listened to your X Rated podcast. And I was like, so,

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Speaker 1: this is hilarious because we've been doing this podcast for

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Speaker 1: over a year. My dad's never listened to it. Like

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Speaker 1: we've said before, he probably doesn't even know what a

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Speaker 1: podcast is. But this party is almost an hour away

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Speaker 1: for us to drive, so my mom probably put it

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Speaker 1: on while they were driving there and like forced them

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Speaker 1: to listen to it. But I was like, X rated

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Speaker 1: And then so I go up to my mom and

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Speaker 1: I'm like, what's daddy talking about? He said, he what's

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Speaker 1: X rated about the podcast? And here he was listening

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Speaker 1: to the part where we were talking about whole talks

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Speaker 1: and dudes that get botox in their asshole to make

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Speaker 1: anal sex more comfortable. So I thought that that was

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Speaker 1: like a great first introduction for my dad to listen

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Speaker 1: to the show. So of course it's the first episode

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Speaker 1: he's ever listened to, the one where we because he's

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Speaker 1: like a really old school Italian guy, so just hearing

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Speaker 1: like anybody talks so openly about sexual things, let alone

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Speaker 1: his daughter and granddaughter, which is probably such a shock

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Speaker 1: to the system. And my mom listens to every episode

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Speaker 1: and I think she does thinks for being funny, but

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Speaker 1: he was probably so more to less prude than he is,

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Speaker 1: so I just think it's it is hilarious.

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Speaker 3: He just kept giving me this look across the room

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Speaker 3: like it's probably mortified, but whatever. All right, let's get

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Speaker 3: into the story of the day, all right.

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Speaker 1: So last week in Virginia, there was this group of

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Speaker 1: people hunting. They came across a bear. It seems like

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Speaker 1: from the report that they had scared the bear to

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Speaker 1: the point where the bear climbed up a tree, and

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Speaker 1: then while the bear was up there, one of the

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Speaker 1: hunters shot at it. So the problem in this whole

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Speaker 1: situation lies with the fact that all the guys were

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Speaker 1: not necessarily clear of the surrounding area of the bottom

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Speaker 1: of the tree, and as the bear fell out, it

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Speaker 1: hit one of the guys on the ground and gave

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Speaker 1: him serious injuries that later caused his death. Jesus Christ,

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Speaker 1: but that's like some karma shit right there. For real,

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Speaker 1: it is pretty crazy. I don't know. I looked up

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Speaker 1: how heavy bears are, because I you could tell they're

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Speaker 1: heavier creatures, but I was like pretty shocked. So in

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Speaker 1: Virginia they have black bears, which I think are considered

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Speaker 1: some of the smaller bears we have in this country,

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Speaker 1: but they can range. The male black bears can range

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Speaker 1: from two hundred and eighty to eleven hundred pounds, and

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Speaker 1: then females can range from two hundred to six hundred

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Speaker 1: and sixty pounds. So imagine if this was a full

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Speaker 1: fledged adult bear, how heavy that would be. Yeah, And

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Speaker 1: it probably was because you're not allowed to shoot ones

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Speaker 1: under a certain size, right, So it probably was a

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Speaker 1: bigger bear. And yeah, just imagine a two hundred to

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Speaker 1: six hundred even more pound weight falling from a tree

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Speaker 1: and landing on a person. So I'm actually surprised that

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Speaker 1: guy didn't die on impact, but you don't know exactly

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Speaker 1: what angle it hit him at. Apparently he was still alive.

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Speaker 1: And this is the interesting thing that at the scene

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Speaker 1: they said that he was in I don't even think

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Speaker 1: they said that he was in serious condition, right, And

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Speaker 1: they say that he was in he was stable at

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Speaker 1: the scene, and they brought him to the hospital and

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Speaker 1: then he later died from his injuries. So I'm wondering

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Speaker 1: if he had some kind of a brain bleed or

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Speaker 1: something that they weren't able to either identify right away

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Speaker 1: when they thought that he was fine, because you hear

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Speaker 1: that happened to like remember we did the celebrity death

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Speaker 1: dissection on the Tacha Richardson. She was the mom from

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Speaker 1: the parent Trap. Yeah, and she had hit her head

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Speaker 1: while skiing and she told the instructor that she was fine,

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Speaker 1: and she was able to get up and go back

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Speaker 1: to her room and she seemed fine, and then all

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Speaker 1: of a sudden, you know, she died. So that could happen.

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Speaker 1: You don't always have to necessarily die right away from

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Speaker 1: a blunt injury like that, So that's more than likely

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Speaker 1: what happened with this guy. But imagine, imagine you being

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Speaker 1: the their hunter that shot the bear, and it was

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Speaker 1: kind of your fault that this bear fell on top

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Speaker 1: of your friend. Yeah. I mean, I feel like we

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Speaker 1: hear about hunting accidents a lot, but I've never quite

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Speaker 1: heard of this. I don't think a lot of people

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Speaker 1: know that bears can so easily climb up trees. And

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Speaker 1: then I was, of course going to YouTube to watch

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Speaker 1: videos of bears following out of trees, and there are

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Speaker 1: a lot, there's a lot of footage of it, and

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Speaker 1: it's just this gigantic thump when they hit the ground.

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Speaker 1: So I can't even imagine that falling on a person. Yeah,

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Speaker 1: I can't either. So this guy leaves behind five kids,

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Speaker 1: eight grandkids, a wife. It's really sad. I just think

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Speaker 1: this is some like crazy freak thing that I don't

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Speaker 1: think most hunters are thinking about things. I mean, they

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Speaker 1: intentionally shot it out of the tree, but I don't

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Speaker 1: think they realized, oh what they think it was gonna happen?

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Speaker 1: What did they think was going to happen, like it

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Speaker 1: was just going to stay up there, because I mean,

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Speaker 1: you're shooting it because you want to keep the trophy, right,

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Speaker 1: So they had to assume it was going to fall.

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Speaker 1: Just maybe I don't know, like maybe the one guy

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Speaker 1: wasn't paying attention or whatever, because I think they said

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Speaker 1: he was only tendy ten feet from the tree, which

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Speaker 1: is like not that f far, not far at all, right,

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Speaker 1: So I don't know. Okay, celebrity news. All right, So

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Speaker 1: in Barcelona, this fashion designer, his name's Isaac Andick. Do

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Speaker 1: you know the brand Mango? Yeah? I do, so they

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Speaker 1: have really cute stuff. He founded this brand in the eighties.

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Speaker 1: He was hiking on this popular tourist area with his family.

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Speaker 1: I guess at some point during the hike they approached

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Speaker 1: these caves that are really beautiful. You know. They said,

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Speaker 1: a lot of tourists go to this area. It's not

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Speaker 1: uncommon somebody would be hiking there. So at some point,

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Speaker 1: while I was four in the caves, he fell down

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Speaker 1: a ravine which was about five hundred feet or one

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Speaker 1: hundred and fifty meters, and he had to be you know,

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Speaker 1: they couldn't find him at first, A family had to

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Speaker 1: call nine War one a helicopter and a special rescue

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Speaker 1: crew had to come, and unfortunately, by the time they

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Speaker 1: got down there, he was dead. Yeah, do you want

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Speaker 1: to hear something really nuts? So right before I saw

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Speaker 1: this story in the news. So we're traveling to out

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Speaker 1: West later this year and my friend Paul lives out there,

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Speaker 1: and he sent me a picture of some cave that

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Speaker 1: has a ladder in it that's like one hundred years old,

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Speaker 1: and he's like, Hey, are you guys interested in going

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Speaker 1: in this hike? I want to find this cave that

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Speaker 1: has this hundred year old ladder that you can climb

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Speaker 1: down and go into this cave. And he sends me

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Speaker 1: the picture of it, and I'm looking at it like, yeah, okay,

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Speaker 1: that sounds like a really good idea that we're going

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Speaker 1: to be like in the middle of the desert with

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Speaker 1: no cell service and we're going to stand on this

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Speaker 1: ladder and it's gonna break and we're gonna be stuck

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Speaker 1: in a cave.

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Speaker 2: Right.

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Speaker 1: But then I said, you know, well, Gabe might want

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Speaker 1: to do that with you actually, because it sounds right

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Speaker 1: up Gabe's alley, right. But then as soon as I

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Speaker 1: read that this story came up, and I just thought

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Speaker 1: that that was just like a sign that we definitely

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Speaker 1: should go nowhere near that with Paul. But yeah, he

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Speaker 1: felt so how far did he fall? You said, over?

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Speaker 1: It's the article I was referencing sat one hundred and

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Speaker 1: fifty meters, which when I converted it said it was

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Speaker 1: around five hundred feet deep. Yeah, that's consistent with a

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Speaker 1: fall from a fifty story building anywhere, depending because I

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Speaker 1: think I read that it was one hundred meters, but regardless,

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Speaker 1: it's anywhere from like a thirty to fifty story building.

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Speaker 1: So that's think about that like a huge high rise

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Speaker 1: in New York City and falling to the ground like

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Speaker 1: it's it's those injuries are going to be significant. I'm

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Speaker 1: surprised that they were able to even get his body

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Speaker 1: down that far, like that must have just been a

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Speaker 1: lot in itself to be able to get down there

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Speaker 1: to get him. Oh yeah, and he was seventy one

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Speaker 1: years old, like I. You know, the people we know

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Speaker 1: in our life that are in their seventies would never

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Speaker 1: dare even leave the house to go on a walk

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Speaker 1: around the block, let alone go hiking in caves with

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Speaker 1: their family. So I thought that was kind of cool

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Speaker 1: that he was going out and having this day with

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Speaker 1: his family, but obviously it had the worst possible ending. Yeah,

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Speaker 1: So when you fall from a height of that high,

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Speaker 1: you sometimes with the bodies at all tops, so you

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Speaker 1: see specific injuries that happen depending on how the person lands.

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Speaker 1: So we were talking about with Liam Payne. He fell

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Speaker 1: from only a third floor balcony, right, so he wasn't

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Speaker 1: that far. But remember we were saying that he didn't

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Speaker 1: have any injuries that were consistent with him being awake

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Speaker 1: and alert and trying to brace his fall in any way,

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Speaker 1: because a lot of times you'll see injuries like broken

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Speaker 1: bones on the feet. Sometimes the ankle bone will pop

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Speaker 1: right through the skin because people are trying to land

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Speaker 1: on their feet or trying to brace their fall with

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Speaker 1: their hands. But sometimes in these cases, you know, when

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Speaker 1: you're falling that fast and the forest is just so fast,

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Speaker 1: you really don't have any control over how you're going

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Speaker 1: to land and stuff, and if you do land on

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Speaker 1: your feet or your butt, it could cause something in

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Speaker 1: your skull called a ring fracture, and that's just from

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Speaker 1: the impact of the bottom of your spine. Basically just

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Speaker 1: like pushing up into your skull, so at the base

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Speaker 1: of the skull it causes a fracture that's like a

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Speaker 1: ring or a circle, and those particular injuries are almost

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Speaker 1: always consistent with an instant death. Is there is there

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Speaker 1: a height in which you could maybe like pass out

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Speaker 1: mid air if you're falling from a certain height, I don't.

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Speaker 1: I don't know. That would all be specific on the individual,

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Speaker 1: if they have some kind of a reaction like that.

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Speaker 1: But it's just it's so fast, honestly, I don't. I

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Speaker 1: don't really know if if that's a thing that happens.

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Speaker 1: It just like I can't there's you know, there's a

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Speaker 1: couple ways of dying that just seem really horrible, and

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Speaker 1: just falling for that long because it goes by quickly, right,

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Speaker 1: but it's like kind of too long where you know

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Speaker 1: what's happening, Yeah, I mean, and just think about that

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Speaker 1: being the last couple seconds of your life. It's just

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Speaker 1: like such a scary feeling to I don't know. I'm

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Speaker 1: really afraid of so just I'm like so afraid of heights,

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Speaker 1: Like if I'm at the mall and I look over

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Speaker 1: the edge of the of the banister, like I don't

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Speaker 1: like that feeling. It like it gives me like a

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Speaker 1: scared feeling. I just don't like heights at all. So

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Speaker 1: for someone like me just thinking about having that feeling

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Speaker 1: so intense, you know. I remember years ago I took

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Speaker 1: this elevator which was at the Sears Tower in Chicago.

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Speaker 1: I don't think it's called I don't even know if

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Speaker 1: it's called that anymore, but it took you all the

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Speaker 1: way to the top and you could kind of just

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Speaker 1: like look out the window outside, and just just being

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Speaker 1: up that high and looking outside of a window, knowing

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Speaker 1: you're protected in a building just like scares me, you

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Speaker 1: know what I mean. So I would never even be

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Speaker 1: doing anything like this, like going with Paul in a cave.

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Speaker 1: Heights don't really bother me like that. Something interesting is

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Speaker 1: when I was in Lake Placid a couple of weeks ago.

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Speaker 1: It was snowing pretty bad the whole time, and there

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Speaker 1: was a lot of people pulled over going on hiking trails,

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Speaker 1: and I can't I could not possibly wrap my head

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Speaker 1: around going hiking at all, mostly because I'm lazy, but

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Speaker 1: also just you know, hiking with all that ice and snow.

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Speaker 1: And then my husband was saying something that apparently going

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Speaker 1: hiking on certain trails could be easier with ice because

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Speaker 1: it's easier to grip certain rocks and it smooths them

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Speaker 1: over or something which makes these avid hikers want to

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Speaker 1: go out and do it more. I just could never

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Speaker 1: do something like that. I'm into hiking just as long

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Speaker 1: as there's protections, you know. Yeah, I'm just wondering in

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Speaker 1: this case, because this accident happened recently. I feel like

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Speaker 1: Barcelona has kind of similar weather to us, so I'm

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Speaker 1: wondering if it was icy conditions or if it was

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Speaker 1: a nice, regular day out. So this brand, Mango, I

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Speaker 1: had never I mean, I guess it's a huge deal.

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Speaker 1: Did it Has it been here forever too? Because I

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Speaker 1: just came across it recently, like a year or two ago,

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Speaker 1: and I was like, Oh, all these clothes are cute.

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Speaker 1: I never heard of this brand. I don't, like, have

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Speaker 1: you heard of it? And I've just been totally checked

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Speaker 1: out this whole time. I think you've been checked out.

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Speaker 1: I don't want to say it's been in the US forever.

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Speaker 1: It was founded in the eighties in Spain by this guy.

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Speaker 1: I've been aware of it for quite some time because

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Speaker 1: I've always thought their clothes were really cute, but I

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Speaker 1: feel like they used to sell it. Maybe I don't know.

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Speaker 1: I feel like it used to be at like a

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Speaker 1: couple of department stores near US. Yeah, I don't know

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Speaker 1: they stores. Okay, all right, what's so? The next story

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Speaker 1: is is a good one. So el and John was

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Speaker 1: named Time Magazine's Icon of the Year. So during his interview,

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Speaker 1: he was talking about his career and his overall struggles

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Speaker 1: with addiction at the peak of his career, and he

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Speaker 1: basically ended the interview saying that legalizing marijuana in America

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Speaker 1: and Canada is one of the greatest mistakes of all time.

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Speaker 1: What do you think about that? When you know? This

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Speaker 1: whole interview he was talking about how he was introduced

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Speaker 1: to cocaine and got addicted in that, you know, made

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Speaker 1: him try other drugs and everything, And he went on

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Speaker 1: in the interview to talk about how marijuana is definitely

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Speaker 1: a gateway drug in his opinion, being a former drug addict.

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Speaker 1: I thought that was an interesting take from somebody that

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Speaker 1: was a drug addict. They also asked him about if

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Speaker 1: he felt the same way about alcohol. I thought it

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Speaker 1: was interesting that they said he turned to his husband

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Speaker 1: to answer on his behalf, and they kind of just

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Speaker 1: were like, while it is socially acceptable, you know, it's

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Speaker 1: still kind of this problem people are refusing to acknowledge.

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Speaker 1: I see it the same way as alcohol in a way,

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Speaker 1: you know, what makes weed worse than drinking It both

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Speaker 1: changes how your brain is feeling and can alter your

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Speaker 1: state of mind. So I back in the day, I

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Speaker 1: used to smoke a lot of weed, and I used

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Speaker 1: to be like, yeah, legalized weed, blah blah blah blah blah.

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Speaker 1: And then when I really started thinking about it, especially

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Speaker 1: when I stopped using it, I definitely could I agree

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Speaker 1: with him one hundred percent. And I think if you

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Speaker 1: talk to a lot of people who used to use

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Speaker 1: marijuana heavily that have stopped, most of these people would

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Speaker 1: say that they've seen an increase of productivity in their

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Speaker 1: life as well as an increase in their quality of life,

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Speaker 1: and just they could agree with what he is saying that.

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Speaker 1: You know, they always try to push this thing that weeds,

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Speaker 1: like this natural thing that grows in the ground and

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Speaker 1: it's not addictive and it's not harmful and this and that,

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Speaker 1: and in my opinion and personal experience and also professional experience,

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Speaker 1: I find that that is completely false. I think that

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Speaker 1: it shouldn't be legal because I look at like the

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Speaker 1: reasons that I think that, Like, I don't give a

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Speaker 1: shit if people use weed and want to use weed.

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Speaker 1: But the thing is is that when the US government

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Speaker 1: says that weed is legal, you're telling people that it's okay.

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Speaker 1: It's not that bad. Because if the US government says

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Speaker 1: it's okay, then it can't be that bad. That's what

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Speaker 1: people think, But that's not the truth. It's the same

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Speaker 1: with alcohol, it's the same with cigarettes. And the government

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Speaker 1: only legalized it not because they care that you can

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Speaker 1: get it. It's you know, safer whatever they get. They

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Speaker 1: realize that they can make a shit ton of money

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Speaker 1: off of it, so they don't They don't care that

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Speaker 1: they're just introducing this to a whole bunch of other people,

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Speaker 1: like people like you, for example, like super rule follower

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Speaker 1: people whishers, a ton of you in the world. Right,

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Speaker 1: you might be more scared to ever try doing marijuana

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Speaker 1: or having it daily because you would be like, well,

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Speaker 1: it's illegal and if somebody smells it coming out of

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Speaker 1: my house, I'll get arrested or you know, all this

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Speaker 1: stuff and that would kind of deter you from using it.

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Speaker 1: But now that it is legal, people just and clearly

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Speaker 1: we can tell what's happened because and maybe that's just

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Speaker 1: because it's legal in my state, but I think it's

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Speaker 1: pretty much legal in most areas of the country at

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Speaker 1: this point, right. No, I mean it's legal, it's recreationally legal,

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Speaker 1: medically legal in a bunch of states, but it's not

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Speaker 1: recreationally legal in most states. Well whatever, wherever we are

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Speaker 1: in New Jersey and Philadelphia, it's like you just smell

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Speaker 1: weed wherever you're at at all times, and people are

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Speaker 1: just smoking it outside as if it was a cigarette,

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Speaker 1: and it's the use of it and the openness of

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Speaker 1: it is definitely way up from then when I was younger,

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Speaker 1: I'll say. So, there are health risks associated with marijuana,

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Speaker 1: including like there's an increased risk of having psychosis, and

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Speaker 1: you could have all of these different kinds of mental

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Speaker 1: health aspects of it, especially if you have underlying depression

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Speaker 1: or schizophrena or something. It could really make those conditions worse.

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Speaker 1: But there's also problems and we're going to talk about

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Speaker 1: that in another article we have talking about vaping a

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Speaker 1: lot a little bit later. But there's health problems that

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Speaker 1: are associated with and they even have done studies that

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Speaker 1: say that the burning of the marijuana could lead to

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Speaker 1: cancer in patients. And so I think that you're going

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Speaker 1: to see a lot of this over time. And I

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Speaker 1: know that marijuana has been around for a long time.

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Speaker 1: But back in the day, if you went to the

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Speaker 1: doctor in the eighties and the nineties and they say

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Speaker 1: do you use recreational drugs, every single person puts no,

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Speaker 1: because why would you put that in writing if they

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Speaker 1: were illegal? Right, So all of these statistics of people

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Speaker 1: like getting cancer later in life and stuff and all

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Speaker 1: that that, how do you know that marijuana didn't give

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Speaker 1: people cancer because nobody used to admit to it because

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Speaker 1: it was illegal. So now you could say that about

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Speaker 1: one hundred other things. Yeah, but I'm telling you right now,

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Speaker 1: like this is going to be like and I want

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Speaker 1: you to go back ten years ago, I was saying

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Speaker 1: the same shit. So just like it will, it will

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Speaker 1: one hundred percent come up in the future because more art.

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Speaker 1: That's the only way that they're able to determine what's

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Speaker 1: causing cancer because of people's health records. Well, also, we'd

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Speaker 1: used to actually be natural and in today's day and age.

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Speaker 1: Like everything else, it's genetically modified, it's manufactured, you know,

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Speaker 1: so those are going to cause problems as well, just

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Speaker 1: because it's evolved over time. Well, it just it doesn't

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Speaker 1: It doesn't matter if it's natural anyway, because there's plenty

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Speaker 1: of natural things that could cause harm. And it's not

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Speaker 1: just like you could do all the tests you want

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Speaker 1: on the marijuana plant itself, but when you turn anything

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Speaker 1: and when you burn anything, it totally changes the chemical

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Speaker 1: composition of that thing, which could then change DNA, which

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Speaker 1: then can lead to atypical cells that can lead to cancer.

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Speaker 1: So it's just something I think people should just have

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Speaker 1: their eyes open about and say, just because the government

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Speaker 1: says it's it's legal, now it's it's not legal, doesn't

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Speaker 1: equal good. And you could see that with alcohol and

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Speaker 1: cigarettes for sure. So yeah, but people I do think

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Speaker 1: alcohol is fine. So yeah, well it's not like I'm sorry,

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Speaker 1: so and that's not my opinion, Like that's that's the

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Speaker 1: hundreds of liver transplants I've seen it, and and autopsies

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Speaker 1: and everything associated with chronic alcohol use, not to mention

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Speaker 1: all of the other stuff that you could you could

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Speaker 1: really measure out drinking and driving accidents. There was just

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Speaker 1: one where a seven year old kid just got killed

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Speaker 1: in a dui accident. Like it's not it's not good

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Speaker 1: for you and so, and there's really no articles medical

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Speaker 1: literature anyway saying that it is, you know what I mean.

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Speaker 1: So it's the same thing with cigarettes, Like, God, don't

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Speaker 1: even go down that road, right just because the government

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Speaker 1: says it's it's okay, it doesn't mean it's safe. That's

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Speaker 1: that's all I want to say. So I see what

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Speaker 1: he's out and John's saying, because you're almost giving people

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Speaker 1: that permission. Like, listen to me. If they said, right now,

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Speaker 1: we're going to legalize uh, let's say cocaine, you would

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Speaker 1: see an increase in cocaine use. Yeah, of course. But

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Speaker 1: like you said earlier, though, they don't give a shit

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Speaker 1: about what happens to you. They care that the tax

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Speaker 1: money has gone up astronomically. That's what they care about. Yeah.

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Speaker 1: So I mean, as long as people are making their

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Speaker 1: decisions based on that, then, because I hear a lot

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Speaker 1: of stuff about people arguing with you that you know,

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Speaker 1: it's it's not addictive, it's not this and it's like

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Speaker 1: you could talk to plenty of people, especially people like

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Speaker 1: me that I could talk from experience because I did

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Speaker 1: a shit ton of it. It is. It is a

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Speaker 1: gateway drag. It is addictive, Like I'm you know what

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Speaker 1: I mean, Like, I don't care what you say. It

404
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Speaker 1: is you. They can say whatever they want, Like I

405
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Speaker 1: think saying that as a like, I don't think it's

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Speaker 1: I think it can be addictive, but I don't think it's.

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Speaker 1: Like I've I smoked weed for a really long time.

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Speaker 1: I wasn't addicted to it, like and I stopped doing

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Speaker 1: it no problem. So like I think it depends on

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Speaker 1: what the personality type. I think that depends on Yeah,

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Speaker 1: that's that's you though, But you don't have you don't

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Speaker 1: have any kind of predetermined thing to have addiction. Like

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Speaker 1: it's the same thing you can delay about drinking alcohol

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Speaker 1: and going gamba. But ingredients in cigarettes are proven to

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Speaker 1: be addicted to anybody that regularly smokes them. Like, saying

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Speaker 1: marijuana is addicted in the same way cigarettes are is

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Speaker 1: just not a correct statement in my opinion, because it

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Speaker 1: depends on your personality what kind of weed you're getting.

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Speaker 1: I think a lot of these dispensaries are you know,

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Speaker 1: some of them are really about the natural approach, but

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Speaker 1: some of them are about the heavily genetically modified approach.

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Speaker 1: And I think that's what could lead to an addiction. Well,

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Speaker 1: I think addictions just it's just too broad of a

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Speaker 1: term for anything, because you could say, like my husband

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Speaker 1: drinks a case of seulser or water a day, is

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Speaker 1: he addicted to it? Probably? Like if he doesn't have it,

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Speaker 1: he kind of gets anxiety over it, like, well, what

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Speaker 1: am I going to drink today? I don't have new

429
00:23:00,240 --> 00:23:03,000
Speaker 1: fizzy water? Like can you please get some groceries? Blah

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00:23:03,000 --> 00:23:06,600
Speaker 1: blah blah. Like right, so people can have it towards

431
00:23:07,880 --> 00:23:10,399
Speaker 1: lots of different things that aren't considered to be like

432
00:23:10,680 --> 00:23:15,480
Speaker 1: chemically addictive for people, you know, So it's kind of

433
00:23:15,520 --> 00:23:17,840
Speaker 1: not true to say that it's not I don't know.

434
00:23:18,800 --> 00:23:22,360
Speaker 1: It depends on the person's let's move off, all right,

435
00:23:22,440 --> 00:23:25,600
Speaker 1: freak accidents, all right, So speaking of this topic, I

436
00:23:25,600 --> 00:23:28,560
Speaker 1: guess we're gonna considue the conversation. This teenage boy who

437
00:23:28,600 --> 00:23:32,520
Speaker 1: was fifteen was sneaking around vaping. What's confusing about this

438
00:23:32,600 --> 00:23:34,840
Speaker 1: to me is that his parents said he was They

439
00:23:34,840 --> 00:23:37,880
Speaker 1: were constantly finding a vape in his room. Although they

440
00:23:38,040 --> 00:23:40,000
Speaker 1: forbid him from doing it, and then he would just

441
00:23:40,040 --> 00:23:42,000
Speaker 1: go on walks all the time, Like what else do

442
00:23:42,040 --> 00:23:45,920
Speaker 1: you think he was doing? Well? This is the thing

443
00:23:46,000 --> 00:23:49,480
Speaker 1: I love that this article is heavily emphasizes that the

444
00:23:49,600 --> 00:23:52,760
Speaker 1: parents kind of like knew about this and told him

445
00:23:52,760 --> 00:23:55,880
Speaker 1: not to do this, and we're really trying to get

446
00:23:55,960 --> 00:23:58,160
Speaker 1: him not to do this. But ultimately, when you have

447
00:23:58,200 --> 00:24:01,760
Speaker 1: a fifteen year old kid, somehow they're able to get

448
00:24:01,800 --> 00:24:04,520
Speaker 1: access to that thing they leave the house, you can't

449
00:24:04,560 --> 00:24:06,159
Speaker 1: like sit on top of them and never let them

450
00:24:06,240 --> 00:24:08,760
Speaker 1: leave the house and stuff. Like kids, this is just

451
00:24:08,800 --> 00:24:10,639
Speaker 1: like a kid being a kid. This is a story

452
00:24:10,680 --> 00:24:15,080
Speaker 1: as old as time. Kids hiding cigarettes, kids hiding drugs, alcohol, whatever.

453
00:24:15,760 --> 00:24:18,520
Speaker 1: They just wanted to be clear in this article that

454
00:24:18,680 --> 00:24:23,119
Speaker 1: like they didn't condone his behavior all right. Anyway, he

455
00:24:23,359 --> 00:24:25,680
Speaker 1: one night, he goes on one of his quote walks

456
00:24:26,400 --> 00:24:28,800
Speaker 1: to go sneak a smoke, and he said, as he

457
00:24:28,840 --> 00:24:31,560
Speaker 1: walked up to this overpass near his house, the vape

458
00:24:31,640 --> 00:24:34,959
Speaker 1: wasn't working, so he tapped it on the ground and

459
00:24:35,000 --> 00:24:37,040
Speaker 1: then as he lifted it back up to his mouth,

460
00:24:37,119 --> 00:24:41,240
Speaker 1: the thing exploded in his hands. Yeah, so this this

461
00:24:41,359 --> 00:24:44,280
Speaker 1: little like a vape pen can act like a small

462
00:24:44,440 --> 00:24:47,880
Speaker 1: explosive device and parts of it are made of glass

463
00:24:47,880 --> 00:24:52,680
Speaker 1: and metal, and it essentially acted like shrapnel and partially

464
00:24:52,720 --> 00:24:57,399
Speaker 1: amputated parts of his hand. Like he went home to

465
00:24:57,600 --> 00:25:00,280
Speaker 1: show to be like to his parents, called on on one

466
00:25:00,480 --> 00:25:03,160
Speaker 1: I'm having a problem, and his dad said that his

467
00:25:03,280 --> 00:25:05,719
Speaker 1: thumb was like hanging off of his hand by his

468
00:25:05,800 --> 00:25:08,840
Speaker 1: wrist and when he went to the hospital, he had

469
00:25:08,880 --> 00:25:11,400
Speaker 1: to end up getting extensive hand surgery and they did

470
00:25:11,440 --> 00:25:14,359
Speaker 1: have to amputate a couple of his fingers, but they

471
00:25:14,400 --> 00:25:16,199
Speaker 1: weren't able to save his thumb. But his hand is

472
00:25:16,240 --> 00:25:20,360
Speaker 1: completely mangled. He said, it was turned inside out. Yeah,

473
00:25:20,359 --> 00:25:23,119
Speaker 1: And the FDA is saying that these events with the

474
00:25:23,160 --> 00:25:26,240
Speaker 1: explosions are unusual, but they think it could be related

475
00:25:26,280 --> 00:25:29,080
Speaker 1: to the battery inside them. Do you think it's one

476
00:25:29,080 --> 00:25:33,280
Speaker 1: of those lithium ion batteries. So this is actually really interesting.

477
00:25:33,359 --> 00:25:36,399
Speaker 1: So there's a coil in these vipe pens that have

478
00:25:36,480 --> 00:25:39,280
Speaker 1: to that has to get heated in order to heat

479
00:25:39,359 --> 00:25:42,600
Speaker 1: this flammable liquid so it could turn it into a vapor, right,

480
00:25:43,000 --> 00:25:46,840
Speaker 1: And they do often use lithium ion batteries. Lithium ion

481
00:25:46,880 --> 00:25:50,719
Speaker 1: batteries are regulated with things like cell phones and laptops.

482
00:25:50,720 --> 00:25:54,840
Speaker 1: And we talked about this with Fastinelli last year when

483
00:25:54,840 --> 00:25:59,400
Speaker 1: we did that article with the Experial example that, Yeah,

484
00:25:59,400 --> 00:26:04,320
Speaker 1: we did that external exam with Chief Fastineali from FDNY,

485
00:26:04,840 --> 00:26:08,280
Speaker 1: and we were talking about how they're regulated. Like, if

486
00:26:08,320 --> 00:26:11,520
Speaker 1: you get a phone from Apple, it's a regulated thing.

487
00:26:11,560 --> 00:26:14,960
Speaker 1: There's a low risk of anything happening with that battery

488
00:26:15,000 --> 00:26:19,800
Speaker 1: because they're FDA regulated. Right, But what about when you

489
00:26:19,920 --> 00:26:24,119
Speaker 1: get like a knockoff from China from Amazon to charge

490
00:26:24,160 --> 00:26:27,120
Speaker 1: your de wault battery or whatever you do, Right, then

491
00:26:27,240 --> 00:26:30,000
Speaker 1: those ones that aren't approved, and they're the ones that

492
00:26:30,040 --> 00:26:32,720
Speaker 1: they're seeing with the scooters and everything in New York

493
00:26:32,720 --> 00:26:35,399
Speaker 1: are pausing most of the fires, or these like bobo

494
00:26:35,520 --> 00:26:36,320
Speaker 1: counterfeit ones.

495
00:26:36,400 --> 00:26:36,600
Speaker 2: Right.

496
00:26:37,040 --> 00:26:39,840
Speaker 1: Well, when you're talking about these lithian ion batteries with

497
00:26:39,960 --> 00:26:44,120
Speaker 1: bake pens, they're actually not regulated at all. So that's

498
00:26:44,200 --> 00:26:46,760
Speaker 1: part of the problem. There's no regulations with those at

499
00:26:46,760 --> 00:26:51,840
Speaker 1: this time. There's been there's just been countless emergency room

500
00:26:52,080 --> 00:26:56,719
Speaker 1: injuries because of these explosions, and of course it's because

501
00:26:56,840 --> 00:27:00,280
Speaker 1: of the battery, you know what I mean. Yeah, I mean,

502
00:27:00,320 --> 00:27:03,120
Speaker 1: I think the overall message behind the story is children

503
00:27:03,240 --> 00:27:06,879
Speaker 1: should certainly not be vaping, and I think because children

504
00:27:06,920 --> 00:27:09,560
Speaker 1: are vaping, they're not learning about the other dangers that

505
00:27:09,560 --> 00:27:12,520
Speaker 1: could be lurking behind the devices they're using, such as

506
00:27:12,520 --> 00:27:15,840
Speaker 1: this or them catching on fire. Yeah, which is also

507
00:27:16,080 --> 00:27:18,120
Speaker 1: just and this is what I wanted to say earlier.

508
00:27:18,160 --> 00:27:21,359
Speaker 1: This is like just another issue that comes along with

509
00:27:21,400 --> 00:27:25,160
Speaker 1: these because again, when these first came out, I've been

510
00:27:25,200 --> 00:27:28,919
Speaker 1: saying since before I even started Instagram that these vapes

511
00:27:29,080 --> 00:27:30,840
Speaker 1: are horrible and they're going to be horrible. And let

512
00:27:30,880 --> 00:27:34,000
Speaker 1: me tell you why. Because the majority of the companies

513
00:27:34,000 --> 00:27:37,879
Speaker 1: that are owned by these vape people are Philip Morris, Okay,

514
00:27:37,960 --> 00:27:41,359
Speaker 1: who's we all know is like the number one cigarette

515
00:27:41,359 --> 00:27:45,800
Speaker 1: manufacturer who is responsible for the death of millions of people,

516
00:27:46,520 --> 00:27:50,800
Speaker 1: and Altria, which is owned by Forrest Philip Marris as well. Right,

517
00:27:51,119 --> 00:27:54,600
Speaker 1: So these two companies that have made cigarettes, who hid

518
00:27:54,640 --> 00:27:57,040
Speaker 1: all of the information for years that they cause cancer

519
00:27:57,040 --> 00:27:59,520
Speaker 1: even though they knew it, right, they're the ones that

520
00:27:59,560 --> 00:28:02,040
Speaker 1: are saying putting out this new product and saying that

521
00:28:02,240 --> 00:28:05,920
Speaker 1: it's healthy and it's fine and it's not dangerous. And

522
00:28:06,640 --> 00:28:09,920
Speaker 1: but let's talk about this. Last year in twenty twenty three,

523
00:28:10,560 --> 00:28:15,800
Speaker 1: the East cigarette manufacturers, they made twenty three point three

524
00:28:16,000 --> 00:28:21,080
Speaker 1: billion dollars. So that's why they say whatever they're going

525
00:28:21,160 --> 00:28:22,920
Speaker 1: to say to get you to buy it, because it's

526
00:28:23,000 --> 00:28:26,960
Speaker 1: just like a huge money maker, right, And not only

527
00:28:27,280 --> 00:28:30,159
Speaker 1: I mean the bape pens explosion are kind of like

528
00:28:30,359 --> 00:28:34,359
Speaker 1: not even the biggest problem that could happen. There's this

529
00:28:34,359 --> 00:28:38,040
Speaker 1: this lung condition called evalue a Valley, which is e

530
00:28:38,200 --> 00:28:42,800
Speaker 1: cigarettes and vaporized lung injury, which is being seen now

531
00:28:42,880 --> 00:28:44,920
Speaker 1: more and more, which they they're kind of like, Okay,

532
00:28:44,960 --> 00:28:46,560
Speaker 1: this is new, so we don't really know what to

533
00:28:46,640 --> 00:28:49,280
Speaker 1: call it and how to handle it. But what they

534
00:28:49,360 --> 00:28:53,240
Speaker 1: found is that this vitamin E that's in the liquid

535
00:28:53,320 --> 00:28:56,280
Speaker 1: that's in these bape pens can be causing lung injury

536
00:28:56,360 --> 00:28:59,200
Speaker 1: to people. But they're also saying it's not just specific

537
00:28:59,240 --> 00:29:01,960
Speaker 1: to that, so if they took vitamin E oil out

538
00:29:02,000 --> 00:29:04,160
Speaker 1: of it, there could be something else that could be

539
00:29:04,200 --> 00:29:08,640
Speaker 1: causing pulmonary injury to people. But it's just it's just

540
00:29:08,720 --> 00:29:11,840
Speaker 1: like you're kind of swapping one problem for another problem,

541
00:29:12,640 --> 00:29:15,560
Speaker 1: and like, yeah, kids shouldn't be doing it, but like

542
00:29:16,240 --> 00:29:21,280
Speaker 1: they're targeting and advertising these things to children. I've seen

543
00:29:21,360 --> 00:29:23,760
Speaker 1: the videos on YouTube and stuff. It's like they're getting

544
00:29:23,760 --> 00:29:26,440
Speaker 1: influencers to do it because they're not allowed to do

545
00:29:26,520 --> 00:29:29,680
Speaker 1: advertisements anymore because of what happened with the cigarettes. So

546
00:29:29,760 --> 00:29:32,240
Speaker 1: now they're like backdooring it and giving it to people

547
00:29:32,280 --> 00:29:36,640
Speaker 1: that are making YouTube and TikTok videos. Yeah, all right.

548
00:29:36,760 --> 00:29:38,920
Speaker 1: Last Friday, this twenty six year old guy and his

549
00:29:39,040 --> 00:29:42,440
Speaker 1: son were walking their three dogs by this local playground.

550
00:29:42,720 --> 00:29:46,920
Speaker 1: Suddenly the dogs started attacking the man, so bystanders called

551
00:29:47,000 --> 00:29:48,880
Speaker 1: nine on one tried to help to get the dogs

552
00:29:48,920 --> 00:29:51,480
Speaker 1: off of him. They were hitting the dogs with golf

553
00:29:51,520 --> 00:29:55,960
Speaker 1: clubs and shovels. They were excel bullies. Is that the

554
00:29:56,000 --> 00:29:59,200
Speaker 1: same as a pit bull? Do you know? Pit bulls

555
00:29:59,200 --> 00:30:03,440
Speaker 1: don't exist? Don't get the pitbull people all angry. Mix

556
00:30:03,480 --> 00:30:06,400
Speaker 1: bulls don't exist. They don't. They will tell you they're

557
00:30:06,440 --> 00:30:08,920
Speaker 1: not a thing. They're mixed breed dogs, and there's no

558
00:30:09,000 --> 00:30:10,760
Speaker 1: such thing as a pitbull. I don't know, and I

559
00:30:10,800 --> 00:30:13,560
Speaker 1: don't care. It's just kind of like, I'm kind of bored,

560
00:30:13,640 --> 00:30:16,600
Speaker 1: honestly by every single week there being like ten articles

561
00:30:16,640 --> 00:30:19,960
Speaker 1: about specific kinds of dogs. And it's not just these

562
00:30:20,240 --> 00:30:23,840
Speaker 1: quote pitbulls, it's also other dogs. This week alone, a

563
00:30:24,680 --> 00:30:28,000
Speaker 1: family had rott Wiler's that were like this. This little

564
00:30:28,000 --> 00:30:30,880
Speaker 1: girl's pet her whole entire life. She's five, and they

565
00:30:30,920 --> 00:30:34,560
Speaker 1: walled her to death. I mean, like we talk, we

566
00:30:34,600 --> 00:30:36,960
Speaker 1: don't even talk about it because it happened so many

567
00:30:36,960 --> 00:30:40,400
Speaker 1: times a week. But I guess one of my friends

568
00:30:40,440 --> 00:30:44,280
Speaker 1: had one of these bullies, which was a bulldog red

569
00:30:44,320 --> 00:30:49,960
Speaker 1: with a pitbull type dog. Right, but no, I don't

570
00:30:49,960 --> 00:30:52,480
Speaker 1: know what an extra large one is. I don't know.

571
00:30:52,560 --> 00:30:55,600
Speaker 1: It's just like clearly they were just describing it as

572
00:30:55,640 --> 00:30:59,160
Speaker 1: being this huge, muscular dog that was able to kill

573
00:30:59,240 --> 00:31:05,000
Speaker 1: its owner. So it's like, right, yeah, So suddenly the

574
00:31:05,040 --> 00:31:08,560
Speaker 1: dogs started attacking the guy, the owner out of nowhere,

575
00:31:08,600 --> 00:31:10,840
Speaker 1: and then the bystanders were trying to, you know, beat

576
00:31:10,840 --> 00:31:13,800
Speaker 1: the dogs off of them with the golf clubs and

577
00:31:13,840 --> 00:31:16,600
Speaker 1: shovels and stuff, and the dogs would not lay up

578
00:31:16,720 --> 00:31:19,200
Speaker 1: at all. One of the dogs ended up biting another

579
00:31:19,240 --> 00:31:21,640
Speaker 1: guy that was trying to help in this situation, giving

580
00:31:21,680 --> 00:31:24,600
Speaker 1: him serious injuries as well, but they had to wait

581
00:31:24,640 --> 00:31:27,240
Speaker 1: till the cops got there. The cops tasered the dogs

582
00:31:27,280 --> 00:31:29,600
Speaker 1: to get him off, which is so ridiculous. One of

583
00:31:29,640 --> 00:31:32,680
Speaker 1: them got away. A local elementary school had to then

584
00:31:32,720 --> 00:31:35,760
Speaker 1: go on lockdown. Think about other people in the playground

585
00:31:35,840 --> 00:31:38,360
Speaker 1: and just taking walks too, and how dangerous that could

586
00:31:38,360 --> 00:31:41,280
Speaker 1: have been. And then you know his son basically just

587
00:31:41,360 --> 00:31:44,280
Speaker 1: I don't know how old the kid was, but watch

588
00:31:44,400 --> 00:31:47,080
Speaker 1: his dad get mauled to death in front of him.

589
00:31:47,120 --> 00:31:50,560
Speaker 1: So yeah, and that's why I wanted to talk about

590
00:31:50,640 --> 00:31:53,520
Speaker 1: this particular story as opposed to the millions of other

591
00:31:53,600 --> 00:31:55,920
Speaker 1: ones that we see all the time. It's just like

592
00:31:57,080 --> 00:32:02,320
Speaker 1: this guy, this guy had these dogs right, brought it

593
00:32:02,360 --> 00:32:05,320
Speaker 1: to a playground where there's a bunch of innocent people.

594
00:32:05,320 --> 00:32:07,240
Speaker 1: When you look at the photos from the video, you're

595
00:32:07,280 --> 00:32:09,760
Speaker 1: just like, yeah, that just looks like the local playground

596
00:32:09,840 --> 00:32:13,160
Speaker 1: up the street where kids are on children are playing

597
00:32:13,200 --> 00:32:15,480
Speaker 1: on the jungle gym and stuff like that. And then

598
00:32:15,880 --> 00:32:19,480
Speaker 1: the dog freaking escaped. Did they ever find it? Yeah,

599
00:32:19,520 --> 00:32:22,320
Speaker 1: they got all three dogs eventually. Yeah. So this dog

600
00:32:22,360 --> 00:32:24,840
Speaker 1: that just killed a person is now running around and

601
00:32:24,880 --> 00:32:26,640
Speaker 1: you get a call from your school that it's on

602
00:32:26,720 --> 00:32:30,480
Speaker 1: lockdown because there's this like killer animal on the loose,

603
00:32:30,520 --> 00:32:33,400
Speaker 1: Like it's so ridiculous. They're just I just feel like

604
00:32:33,440 --> 00:32:36,600
Speaker 1: there needs to be some kind of regulations with and

605
00:32:37,040 --> 00:32:39,080
Speaker 1: I don't really know where you draw the line, because

606
00:32:39,440 --> 00:32:41,760
Speaker 1: people are coming at you for that you know, because

607
00:32:42,040 --> 00:32:44,360
Speaker 1: anytime we have a story, I don't give a shit.

608
00:32:44,400 --> 00:32:46,560
Speaker 1: Guess what if my kids are playing outside, Like I

609
00:32:46,600 --> 00:32:48,480
Speaker 1: don't want them to get bit by some dog that

610
00:32:48,560 --> 00:32:50,920
Speaker 1: somebody shouldn't even know. And like you sit there and

611
00:32:50,960 --> 00:32:54,200
Speaker 1: say that a human living in America can't have a

612
00:32:54,240 --> 00:32:56,760
Speaker 1: tiger as a pet, right why because they attack people

613
00:32:56,760 --> 00:32:58,560
Speaker 1: and kill people. They don't all do it like some

614
00:32:58,600 --> 00:33:02,280
Speaker 1: people on Instagram have pumas as pets and shit like that,

615
00:33:02,440 --> 00:33:04,080
Speaker 1: right if you raise it from when it's a baby

616
00:33:04,120 --> 00:33:06,200
Speaker 1: and you don't beat it and shit, and it's all

617
00:33:06,520 --> 00:33:08,480
Speaker 1: you know, it's all nicey nice and stuff like that.

618
00:33:08,560 --> 00:33:11,240
Speaker 1: But like you don't let animals like that just walk

619
00:33:11,280 --> 00:33:14,920
Speaker 1: around to the park on a leash. Like sorry, This

620
00:33:14,960 --> 00:33:17,120
Speaker 1: actually just happened on Housewives last week. One of the

621
00:33:17,160 --> 00:33:19,800
Speaker 1: housewives showed up for their group trip or whatever, and

622
00:33:19,840 --> 00:33:21,680
Speaker 1: she was like, oh, I'm not feeling well. I got

623
00:33:21,720 --> 00:33:23,960
Speaker 1: bit by another dog at the dog park. And when

624
00:33:24,000 --> 00:33:26,640
Speaker 1: they showed her injuries, I was like, how are you

625
00:33:26,760 --> 00:33:30,760
Speaker 1: not losing your leg? It looked there was these insane

626
00:33:31,000 --> 00:33:34,000
Speaker 1: puncture wounds in this woman's leg and arm and she

627
00:33:34,160 --> 00:33:36,600
Speaker 1: was saying that the owner of that dog was in

628
00:33:36,640 --> 00:33:38,760
Speaker 1: his car, taking a phone call, and just letting this

629
00:33:38,920 --> 00:33:42,400
Speaker 1: dog roam around the dog park unattended. I mean, that's

630
00:33:42,440 --> 00:33:45,120
Speaker 1: like one hundred percent of lawsuit in my opinion. Yeah,

631
00:33:45,160 --> 00:33:48,080
Speaker 1: but that's and that's what's scary. It's like people get

632
00:33:48,120 --> 00:33:50,000
Speaker 1: these dogs because they want to look like they're a

633
00:33:50,040 --> 00:33:52,440
Speaker 1: bad ass carrying these dogs around, and they don't really

634
00:33:52,560 --> 00:33:56,200
Speaker 1: understand like that situation with that guy, Like luckily the

635
00:33:56,240 --> 00:33:59,320
Speaker 1: dogs just killed the owner. I mean, it's terrible that

636
00:33:59,360 --> 00:34:01,240
Speaker 1: the sun even had to watch that because the whole

637
00:34:01,360 --> 00:34:04,920
Speaker 1: entire thing was just completely avoidable. But just to think

638
00:34:04,960 --> 00:34:07,560
Speaker 1: that that could have just there, could have just been

639
00:34:07,600 --> 00:34:09,480
Speaker 1: like a mom there with their three year old pushing

640
00:34:09,480 --> 00:34:11,080
Speaker 1: the kid on the swing, and that kid could have

641
00:34:11,120 --> 00:34:13,400
Speaker 1: been It's just like this just doesn't even need to

642
00:34:13,440 --> 00:34:17,120
Speaker 1: be a problem. It needs to be more regulated, and

643
00:34:17,239 --> 00:34:20,799
Speaker 1: I don't know how you can do it, because they're

644
00:34:21,120 --> 00:34:24,080
Speaker 1: like all dogs can bite, right, Chihuahuas can bite. This

645
00:34:24,160 --> 00:34:25,920
Speaker 1: is the big argument that they like to have that

646
00:34:26,000 --> 00:34:30,880
Speaker 1: chihuahuas bite more than pippoles do. An adult human could

647
00:34:30,920 --> 00:34:34,279
Speaker 1: manage a chihuahua. Most adult humans can't handle one of

648
00:34:34,320 --> 00:34:36,920
Speaker 1: these extra large dogs, let alone three of them at

649
00:34:36,960 --> 00:34:39,800
Speaker 1: the same time. And the thing is that I understand

650
00:34:39,880 --> 00:34:42,920
Speaker 1: that there's lots of people that have Like one of

651
00:34:42,920 --> 00:34:46,080
Speaker 1: my best friends has two German Shepherds, which are dogs

652
00:34:46,080 --> 00:34:49,080
Speaker 1: that like are that bite, they're known to bite and

653
00:34:49,160 --> 00:34:52,520
Speaker 1: rattwaer's and everything. She's she's like a dog mom. They're

654
00:34:52,520 --> 00:34:55,320
Speaker 1: her children. They're great and this and that. But then

655
00:34:55,840 --> 00:34:58,120
Speaker 1: when they get into the wrong hands and they're not

656
00:34:58,239 --> 00:35:02,200
Speaker 1: trained properly, or the just whatever whatever it is to

657
00:35:02,280 --> 00:35:05,399
Speaker 1: cause these dogs to snap. It's the same with with

658
00:35:05,440 --> 00:35:08,359
Speaker 1: the with the little kid the other day, like five

659
00:35:08,440 --> 00:35:10,719
Speaker 1: years old. The dogs were older than the kids. So

660
00:35:10,800 --> 00:35:12,759
Speaker 1: the dogs have been there since that kid got brought

661
00:35:12,800 --> 00:35:15,879
Speaker 1: into the house for five whole years. Not a problem, never,

662
00:35:16,160 --> 00:35:19,400
Speaker 1: they said, anyway, not a problem, never bought, no aggression, all.

663
00:35:19,760 --> 00:35:22,160
Speaker 1: It doesn't matter. It's an animal, Like what are you

664
00:35:22,200 --> 00:35:26,520
Speaker 1: talking about? Like, but it's it's just it happens all

665
00:35:26,560 --> 00:35:28,880
Speaker 1: the time. Like what's the solution. I don't know, just

666
00:35:28,960 --> 00:35:31,400
Speaker 1: keep saying just like keep protecting it and saying like

667
00:35:31,480 --> 00:35:34,040
Speaker 1: nothing to see here. I don't know. I don't know,

668
00:35:34,200 --> 00:35:36,239
Speaker 1: Like I don't think we're ever going to be in

669
00:35:36,280 --> 00:35:39,320
Speaker 1: a place really where these types of animals get banned

670
00:35:39,360 --> 00:35:42,080
Speaker 1: from being able to be owned. But I think maybe

671
00:35:42,080 --> 00:35:44,000
Speaker 1: there needs to be a rule that, you know, one

672
00:35:44,040 --> 00:35:48,960
Speaker 1: adult prorogressive animal, because an adult certainly can barely handle

673
00:35:49,000 --> 00:35:50,719
Speaker 1: one of them, let alone three of them at the

674
00:35:50,760 --> 00:35:53,480
Speaker 1: same time. And it's ridiculous that the dogs had to

675
00:35:53,520 --> 00:35:56,040
Speaker 1: get tasered to get them off of the person, and

676
00:35:56,080 --> 00:35:58,680
Speaker 1: that other people risk their lives and risk getting injured

677
00:35:58,719 --> 00:36:02,000
Speaker 1: to help this person. Not even tasered, they were getting

678
00:36:02,040 --> 00:36:05,319
Speaker 1: beaten with shovels and shit. I which, you know, I

679
00:36:05,360 --> 00:36:08,920
Speaker 1: actually commend the people that tried to intervene because I

680
00:36:09,560 --> 00:36:13,760
Speaker 1: wouldn't have I honestly, like, because that thing gets loose

681
00:36:13,800 --> 00:36:16,120
Speaker 1: and then all of a sudden, like it's attacking you.

682
00:36:16,239 --> 00:36:28,040
Speaker 1: No thanks, That shit scares me. No thanks. This episode

683
00:36:28,120 --> 00:36:31,680
Speaker 1: is brought to you by Nicole and Jemmy's Anatomy Book. Guys,

684
00:36:31,760 --> 00:36:34,600
Speaker 1: if you need a last minute gift for somebody, my

685
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686
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Speaker 1: expensive and it is a conversation starter that people could

687
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Speaker 1: put on their coffee table. It just looks like a

688
00:36:42,920 --> 00:36:45,239
Speaker 1: cute little book that's pink, and then you open it

689
00:36:45,320 --> 00:36:48,600
Speaker 1: up and completely horrified by some of the images in there.

690
00:36:48,640 --> 00:36:52,200
Speaker 1: But it's a Great Conversation starter and you could get

691
00:36:52,200 --> 00:36:55,799
Speaker 1: it on Amazon and get it delivered by Christmas. Yeah,

692
00:36:55,840 --> 00:36:57,840
Speaker 1: so you could either grab one now to give it

693
00:36:57,840 --> 00:36:59,759
Speaker 1: as the perfect gift, or you could get a little

694
00:36:59,800 --> 00:37:02,759
Speaker 1: post Christmas treat and enter for the chance to win

695
00:37:03,000 --> 00:37:06,600
Speaker 1: one of three signed copies of the book. So all

696
00:37:06,640 --> 00:37:09,839
Speaker 1: you have to do to enter is go over to Apple, Spotify,

697
00:37:10,320 --> 00:37:13,480
Speaker 1: leave a review. If you watch on YouTube, you could subscribe.

698
00:37:13,880 --> 00:37:16,560
Speaker 1: Take a screenshot of your review or your subscription and

699
00:37:16,640 --> 00:37:19,560
Speaker 1: email it to stories at mothernosdeth dot com and that

700
00:37:19,640 --> 00:37:22,320
Speaker 1: will be your official entry into the contest and we

701
00:37:22,360 --> 00:37:28,160
Speaker 1: will be picking the winners this Friday. Yeah, can't wait. Okay,

702
00:37:28,200 --> 00:37:32,440
Speaker 1: True crime all right, the story with one gagillion layers,

703
00:37:32,520 --> 00:37:35,520
Speaker 1: Luigi Manngioni. We have a lot of updates and there

704
00:37:35,560 --> 00:37:38,000
Speaker 1: are just I feel like new stories coming out every

705
00:37:38,120 --> 00:37:42,759
Speaker 1: single day related to this case. Yeah, It's it's kind

706
00:37:42,760 --> 00:37:46,640
Speaker 1: of crazy, like how this case has taken such turns

707
00:37:47,360 --> 00:37:51,400
Speaker 1: when we've just talked about it last last week. Right,

708
00:37:51,440 --> 00:37:54,120
Speaker 1: so it's only been one week, Well it's been two

709
00:37:54,360 --> 00:37:57,000
Speaker 1: about two weeks since one week did the crime and

710
00:37:57,040 --> 00:38:01,560
Speaker 1: one week since he's been found. He was found Monday, right, Yeah,

711
00:38:01,560 --> 00:38:03,520
Speaker 1: he was found last Monday when we were like in

712
00:38:03,560 --> 00:38:05,279
Speaker 1: the middle of writing about it. That was I don't

713
00:38:05,360 --> 00:38:07,719
Speaker 1: understand how people are journalists because we're in the middle

714
00:38:07,760 --> 00:38:09,799
Speaker 1: of writing this and every five minutes there's a new

715
00:38:09,840 --> 00:38:11,440
Speaker 1: update and I'm like, Oh, I have to change what

716
00:38:11,480 --> 00:38:13,800
Speaker 1: I just wrote. I have to change what I just wrote.

717
00:38:13,920 --> 00:38:16,560
Speaker 1: It's very stressful to be like trying to keep the

718
00:38:16,560 --> 00:38:19,920
Speaker 1: most up to date as of this episode. They're already

719
00:38:19,960 --> 00:38:22,400
Speaker 1: working on a documentary about him, which I think is

720
00:38:22,480 --> 00:38:25,480
Speaker 1: so outrageous. And then there's you know, a lot of

721
00:38:25,480 --> 00:38:30,200
Speaker 1: confusion about his charges right now. So right now, officials

722
00:38:30,200 --> 00:38:32,839
Speaker 1: don't believe that he will be charged with the death

723
00:38:32,880 --> 00:38:37,000
Speaker 1: penalty because they don't think he's eligible for a federal crime.

724
00:38:37,040 --> 00:38:39,719
Speaker 1: And in New York they don't have the death penalty,

725
00:38:40,000 --> 00:38:42,440
Speaker 1: they haven't had it for about the last two decades.

726
00:38:42,840 --> 00:38:45,520
Speaker 1: So he's been charged with second degree murder, which I

727
00:38:45,560 --> 00:38:48,879
Speaker 1: feel like most of us are used to knowing as

728
00:38:50,440 --> 00:38:53,880
Speaker 1: murdering somebody but not planning it out, and as we know,

729
00:38:54,000 --> 00:38:56,560
Speaker 1: in this case, it seemed to be very strategic and

730
00:38:56,600 --> 00:39:00,000
Speaker 1: planned out well. In New York City, under New York Lie,

731
00:39:00,280 --> 00:39:02,840
Speaker 1: they only consider first degree murders as a charge that

732
00:39:02,920 --> 00:39:05,759
Speaker 1: applies to only a couple of crimes, which includes the

733
00:39:05,840 --> 00:39:09,560
Speaker 1: victim being a judge, a police officer, or a first responder.

734
00:39:10,120 --> 00:39:12,880
Speaker 1: So I think that's interesting that New York law differs

735
00:39:12,920 --> 00:39:15,160
Speaker 1: so much from what we're used to. It is interesting

736
00:39:15,239 --> 00:39:18,200
Speaker 1: because do you think that that's possible. Maybe that's why

737
00:39:18,239 --> 00:39:20,600
Speaker 1: he decided to do it there, just because if he

738
00:39:20,640 --> 00:39:24,160
Speaker 1: did get caught, he would I mean second degree murder.

739
00:39:24,200 --> 00:39:27,080
Speaker 1: Is is there a chance of him going to prison

740
00:39:27,200 --> 00:39:29,680
Speaker 1: for life or like there's a high chance that he's

741
00:39:29,760 --> 00:39:32,719
Speaker 1: not going to get in that kind of trouble for

742
00:39:32,800 --> 00:39:37,360
Speaker 1: this Well, I think he could potentially have life. I

743
00:39:38,200 --> 00:39:40,279
Speaker 1: don't want to speak to whether or not he would

744
00:39:40,320 --> 00:39:42,800
Speaker 1: be eligible for parole or not, because I just don't

745
00:39:42,800 --> 00:39:45,040
Speaker 1: know the answer to it. But I do think it

746
00:39:45,120 --> 00:39:48,320
Speaker 1: was strategic because you know, New York State does not

747
00:39:48,560 --> 00:39:51,200
Speaker 1: have the death penalty, so you know that's not on

748
00:39:51,280 --> 00:39:54,520
Speaker 1: the table. And then I think it is interesting because

749
00:39:54,560 --> 00:39:56,840
Speaker 1: I didn't know until this case that they had different

750
00:39:57,520 --> 00:40:01,200
Speaker 1: definitions of first degree and second degree murder. Yeah, I

751
00:40:01,280 --> 00:40:04,800
Speaker 1: don't know, but so many crazy things are happening, So

752
00:40:04,920 --> 00:40:10,360
Speaker 1: let's start talking about the semi copycat that already happened.

753
00:40:10,360 --> 00:40:13,520
Speaker 1: This week. Yeah, so this woman in Florida was on

754
00:40:13,560 --> 00:40:16,200
Speaker 1: the phone with her insurance company. They denied her claim,

755
00:40:16,280 --> 00:40:18,200
Speaker 1: and at the end of the recorded phone call, you

756
00:40:18,239 --> 00:40:22,040
Speaker 1: could hear her say, delay, deny, depose you people are next.

757
00:40:22,440 --> 00:40:26,080
Speaker 1: So obviously she got arrested pretty quickly after saying that.

758
00:40:27,040 --> 00:40:30,960
Speaker 1: Is she like a fucking moron? Really, Like you are

759
00:40:31,000 --> 00:40:35,120
Speaker 1: a fucking moron. Listen, even if you agree with everything

760
00:40:35,160 --> 00:40:38,080
Speaker 1: he did and everything, you have to understand that's saying

761
00:40:38,120 --> 00:40:41,480
Speaker 1: something like that on a recorded phone call with somebody

762
00:40:41,520 --> 00:40:44,040
Speaker 1: in the same industry is going to get you in trouble.

763
00:40:44,120 --> 00:40:46,439
Speaker 1: How could you seriously think that was gonna slip under

764
00:40:46,440 --> 00:40:49,600
Speaker 1: the radar with how high profile this is. This lady

765
00:40:49,960 --> 00:40:53,640
Speaker 1: is forty two years old, so she's around my age,

766
00:40:53,680 --> 00:40:56,840
Speaker 1: and she has three kids, and apparently she's a nuclear

767
00:40:56,920 --> 00:41:00,520
Speaker 1: med tech at a hospital or a medical center something,

768
00:41:00,920 --> 00:41:05,839
Speaker 1: so she's got a good job. Like she's a fucking idiot. Seriously, Like,

769
00:41:06,440 --> 00:41:10,280
Speaker 1: what did she say? Yeah? And her in her defense,

770
00:41:10,360 --> 00:41:13,520
Speaker 1: she was saying like she was defending her actions, saying

771
00:41:13,800 --> 00:41:16,200
Speaker 1: she only said those things because they were hot in

772
00:41:16,239 --> 00:41:18,719
Speaker 1: the news right now. But then she went on to

773
00:41:18,800 --> 00:41:21,919
Speaker 1: say that the healthcare companies quote deserve karma and they're

774
00:41:22,000 --> 00:41:25,319
Speaker 1: quote evil. So I'm like, you're saying you're not a threat,

775
00:41:25,440 --> 00:41:27,520
Speaker 1: you're saying you only use the words because they're fresh

776
00:41:27,600 --> 00:41:29,759
Speaker 1: in your mind. But then you're wrapping right around and

777
00:41:29,800 --> 00:41:33,440
Speaker 1: saying that they are bad and evil and they deserve it.

778
00:41:33,520 --> 00:41:36,319
Speaker 1: So what are you doing? What does she think is

779
00:41:36,360 --> 00:41:40,360
Speaker 1: gonna happen? She's a terrible mother, actually, because like, listen,

780
00:41:40,480 --> 00:41:44,000
Speaker 1: everybody in the world's got opinions, right, keep your fucking

781
00:41:44,120 --> 00:41:47,320
Speaker 1: mouth shut because you're not changing anything or doing anything.

782
00:41:47,360 --> 00:41:51,520
Speaker 1: And now you're you could potentially go to jail. You're

783
00:41:51,520 --> 00:41:54,200
Speaker 1: definitely gonna lose your job, you could go to jail

784
00:41:54,680 --> 00:41:58,080
Speaker 1: and like not be with your kids over what like

785
00:41:58,640 --> 00:42:00,799
Speaker 1: because you had to say that out loud, like it

786
00:42:00,840 --> 00:42:04,760
Speaker 1: did nothing. You're a fucking idiot. So she was charged

787
00:42:05,160 --> 00:42:09,040
Speaker 1: with threats to conduct a mass shooting or act of terrorism.

788
00:42:09,600 --> 00:42:12,760
Speaker 1: I don't know if that's considered a federal charge, which

789
00:42:13,280 --> 00:42:16,400
Speaker 1: think about heavy charge. Think about if she gets a

790
00:42:16,480 --> 00:42:20,600
Speaker 1: worse sentence than Luigi does, because her crime may qualify

791
00:42:20,640 --> 00:42:23,759
Speaker 1: as a federal crime, where murder does not qualify as

792
00:42:23,800 --> 00:42:26,640
Speaker 1: a federal crime unless you're hiring a hitman to cross

793
00:42:26,680 --> 00:42:30,440
Speaker 1: state lines. So think about the potential of her getting

794
00:42:30,440 --> 00:42:33,080
Speaker 1: a worse sentence than the guy that actually committed the

795
00:42:33,120 --> 00:42:35,520
Speaker 1: crime just because you said something in the heat of

796
00:42:35,560 --> 00:42:40,239
Speaker 1: the moment. Even if she gets off of this completely somehow,

797
00:42:40,360 --> 00:42:42,239
Speaker 1: which I don't know, because I feel like they're going

798
00:42:42,280 --> 00:42:44,920
Speaker 1: to make an example of her, so people stop doing

799
00:42:45,040 --> 00:42:50,319
Speaker 1: dumbshit like this. Like even if she's just a regular person, right,

800
00:42:50,400 --> 00:42:54,920
Speaker 1: so she does not seemingly like, you know, a multi

801
00:42:54,920 --> 00:42:57,720
Speaker 1: millionaire like the Luigi guy is. She's just a person

802
00:42:57,760 --> 00:42:59,759
Speaker 1: that works at a hospital and doesn't seem to have

803
00:42:59,840 --> 00:43:02,880
Speaker 1: life millions of dollars sitting at a bank account. So

804
00:43:03,520 --> 00:43:07,560
Speaker 1: she's she's just ruining the quality of life for her children.

805
00:43:07,600 --> 00:43:10,279
Speaker 1: That's all that she did. Right now, She didn't She's

806
00:43:10,320 --> 00:43:12,000
Speaker 1: not some kind of hero, she's not things. She just

807
00:43:12,040 --> 00:43:14,960
Speaker 1: ruined the quality of life for her children. She'll probably

808
00:43:15,040 --> 00:43:16,799
Speaker 1: I would like to say that she's never going to

809
00:43:16,840 --> 00:43:19,440
Speaker 1: be able to work in healthcare again because of this,

810
00:43:19,760 --> 00:43:22,520
Speaker 1: which means that her associates and bachelor's degree that she

811
00:43:22,560 --> 00:43:25,680
Speaker 1: has a nuclear medicine is was a waste of time

812
00:43:26,080 --> 00:43:28,360
Speaker 1: because she can't even do that as a job anymore.

813
00:43:28,760 --> 00:43:32,520
Speaker 1: And and for what like the legal fees that she's

814
00:43:32,520 --> 00:43:34,759
Speaker 1: going to have, even though there are gofundmeans to get

815
00:43:34,840 --> 00:43:39,520
Speaker 1: money for her legal fees. It's just it's just like,

816
00:43:40,120 --> 00:43:42,320
Speaker 1: I don't know who would donate money to that because

817
00:43:42,680 --> 00:43:44,840
Speaker 1: she's a stupid person. Why would you give a stupid

818
00:43:44,880 --> 00:43:48,799
Speaker 1: person money. We'll get more on that later, but I

819
00:43:48,840 --> 00:43:51,439
Speaker 1: think I can all agree that. You know, we've had,

820
00:43:51,920 --> 00:43:55,120
Speaker 1: you know, a really frustrating phone call with some type

821
00:43:55,160 --> 00:43:57,400
Speaker 1: of customer service, and we've all said things of the

822
00:43:57,440 --> 00:43:59,279
Speaker 1: heat of the moment. One time, I was on the

823
00:43:59,320 --> 00:44:01,520
Speaker 1: phone with my key provider when I was living with

824
00:44:01,560 --> 00:44:03,759
Speaker 1: my roommate a couple of years ago. The person was

825
00:44:03,800 --> 00:44:06,960
Speaker 1: being extremely unhelpful. It was something the company did that

826
00:44:07,040 --> 00:44:10,319
Speaker 1: caused my internet to not work, and then I thought

827
00:44:10,320 --> 00:44:11,960
Speaker 1: I hung up and I was like, that person's a

828
00:44:11,960 --> 00:44:14,600
Speaker 1: fucking asshole. And then they called me back and said,

829
00:44:14,600 --> 00:44:18,719
Speaker 1: I heard you. Well, you know what that company is.

830
00:44:19,200 --> 00:44:22,000
Speaker 1: I know exactly what you're you're talking about that they

831
00:44:22,320 --> 00:44:25,400
Speaker 1: like have the ability to completely embrage you. And but

832
00:44:25,520 --> 00:44:29,320
Speaker 1: you're but you're right, there's lots of different Like I

833
00:44:29,680 --> 00:44:31,920
Speaker 1: see what the other side saying, Well, like you not

834
00:44:32,080 --> 00:44:34,000
Speaker 1: having the internet is not the same as like you

835
00:44:34,120 --> 00:44:36,160
Speaker 1: not being able to get medicine that you need or

836
00:44:36,200 --> 00:44:40,640
Speaker 1: health insurance, sure need. Like but and and trust me, like,

837
00:44:40,760 --> 00:44:44,839
Speaker 1: prior to this happening, they probably got similar threats like

838
00:44:44,880 --> 00:44:47,719
Speaker 1: this all the time. But because that dude shot and

839
00:44:47,800 --> 00:44:51,200
Speaker 1: killed that dude, now it's like real, it's real, and

840
00:44:51,280 --> 00:44:54,920
Speaker 1: it happened, and now it could happen again, and and

841
00:44:55,000 --> 00:44:58,359
Speaker 1: like the worst part is is that how he's being

842
00:44:58,400 --> 00:45:00,880
Speaker 1: held such a hero is on only going to further

843
00:45:01,000 --> 00:45:05,240
Speaker 1: fuel people like this lady to feel in bold and

844
00:45:05,280 --> 00:45:10,359
Speaker 1: like empowered to say something like this, because and like

845
00:45:10,640 --> 00:45:13,640
Speaker 1: that's that's not helping. That's not going to help anything.

846
00:45:13,680 --> 00:45:16,239
Speaker 1: It's just going to make people feel like they could

847
00:45:16,280 --> 00:45:19,439
Speaker 1: go around killing people all the time for things. It's

848
00:45:19,480 --> 00:45:22,120
Speaker 1: just like not the way to go about things. I think,

849
00:45:22,160 --> 00:45:26,759
Speaker 1: regardless about how you feel about the situation overall, I

850
00:45:26,800 --> 00:45:29,800
Speaker 1: think you need to realistically expect that if you threaten somebody,

851
00:45:29,840 --> 00:45:32,040
Speaker 1: you're going to get in trouble for it. That's it's

852
00:45:32,160 --> 00:45:37,120
Speaker 1: just regardless. Was that, regardless of the situation is not

853
00:45:37,200 --> 00:45:39,160
Speaker 1: so black and white, you know. I mean, there's a

854
00:45:39,200 --> 00:45:42,160
Speaker 1: whole group of people that could argue, fuck those people

855
00:45:42,520 --> 00:45:44,640
Speaker 1: what she said, I agree with She did the right thing.

856
00:45:44,680 --> 00:45:46,839
Speaker 1: There's a whole other group of people that like, she's

857
00:45:46,880 --> 00:45:49,000
Speaker 1: a monster. Why would you say something like that? How

858
00:45:49,040 --> 00:45:52,640
Speaker 1: are you so insensitive? Regardless of where you stand on

859
00:45:52,680 --> 00:45:55,439
Speaker 1: either side, you just have to understand the consequence when

860
00:45:55,440 --> 00:45:58,000
Speaker 1: you there and another person. And that's just the basics

861
00:45:58,000 --> 00:46:01,920
Speaker 1: of it. So, but to talk about this backpack company,

862
00:46:02,239 --> 00:46:05,000
Speaker 1: So the founder of the backpack company, Peak Design, is

863
00:46:05,040 --> 00:46:07,640
Speaker 1: also facing a lot of criticism because he tipped off

864
00:46:07,680 --> 00:46:10,600
Speaker 1: the police line that Luigi was wearing one of their bags.

865
00:46:11,520 --> 00:46:15,680
Speaker 1: So this is interesting because this has happened in lots

866
00:46:15,719 --> 00:46:18,879
Speaker 1: of crimes, you know that they could try Remember when

867
00:46:19,800 --> 00:46:22,120
Speaker 1: we were taught, we were covering that case, the Boy

868
00:46:22,160 --> 00:46:25,520
Speaker 1: in the Box. Yeah, so, and I don't know the

869
00:46:25,680 --> 00:46:27,880
Speaker 1: exact details off of the top of my head, but

870
00:46:28,320 --> 00:46:32,040
Speaker 1: they're in Philadelphia years ago, was it like fifty years ago?

871
00:46:32,080 --> 00:46:34,799
Speaker 1: It was a long time ago. They found this this

872
00:46:35,160 --> 00:46:39,160
Speaker 1: random dead child inside of a box. And with that box,

873
00:46:39,239 --> 00:46:41,600
Speaker 1: they were able to determine that it was a it

874
00:46:41,640 --> 00:46:44,120
Speaker 1: was a box from a Bacinet or something that was

875
00:46:44,160 --> 00:46:46,239
Speaker 1: purchased at like J. C. Pennies, And they were able

876
00:46:46,280 --> 00:46:48,160
Speaker 1: to track the serial number and see what store it

877
00:46:48,239 --> 00:46:50,480
Speaker 1: was bought at and stuff like this is this is

878
00:46:50,560 --> 00:46:53,640
Speaker 1: just like old school police work kind of thing to

879
00:46:53,640 --> 00:46:57,680
Speaker 1: be able to say, oh, that guy didn't They do

880
00:46:57,719 --> 00:47:01,360
Speaker 1: it with the coburger on too, Like they found what

881
00:47:01,480 --> 00:47:03,880
Speaker 1: knife it was and where it was sold and everything

882
00:47:04,040 --> 00:47:07,040
Speaker 1: just based upon the sheath that they found. They do,

883
00:47:07,160 --> 00:47:09,239
Speaker 1: and that's how they try to find people who dig

884
00:47:09,280 --> 00:47:12,200
Speaker 1: crimes or connect them to it. I think you know,

885
00:47:12,320 --> 00:47:15,160
Speaker 1: a big concern that people have with this case is

886
00:47:15,200 --> 00:47:18,439
Speaker 1: that their backpacks have serial numbers in them, and they

887
00:47:18,600 --> 00:47:22,760
Speaker 1: have privacy concerns with their purchases. I saw other people

888
00:47:22,800 --> 00:47:24,960
Speaker 1: pointing out that they're worried if they had bought a

889
00:47:24,960 --> 00:47:27,279
Speaker 1: backpack from this company and then they sold it on

890
00:47:27,400 --> 00:47:30,200
Speaker 1: a secondhand website or to a friend or something, what

891
00:47:30,280 --> 00:47:32,920
Speaker 1: if that person commits a crime, are they going to

892
00:47:32,960 --> 00:47:35,759
Speaker 1: be liable for the crime because the serial number matches them.

893
00:47:36,400 --> 00:47:39,200
Speaker 1: But to your point, this is old school police work.

894
00:47:39,239 --> 00:47:42,120
Speaker 1: It's kind of similar to how they id cars that

895
00:47:42,160 --> 00:47:44,839
Speaker 1: are found or using crimes. It's the same thing. They're

896
00:47:44,880 --> 00:47:48,480
Speaker 1: just doing basic tracking techniques. Yeah. I mean, if you're

897
00:47:48,680 --> 00:47:53,160
Speaker 1: and if you're not killing people, like like listen, anything

898
00:47:53,160 --> 00:47:55,520
Speaker 1: that you buy, if you if you murder something and

899
00:47:55,560 --> 00:47:58,839
Speaker 1: it's involved in the murder, then you're going they're going

900
00:47:58,880 --> 00:48:00,920
Speaker 1: to try to track it. I don't see why anybody

901
00:48:00,920 --> 00:48:04,040
Speaker 1: really has a problem with that, Like what's the privacy concern?

902
00:48:04,520 --> 00:48:08,160
Speaker 1: So he fucking killed somebody, Like we we could sit

903
00:48:08,200 --> 00:48:10,440
Speaker 1: here and talk about the reasons or whatever. But like

904
00:48:10,840 --> 00:48:13,680
Speaker 1: it's against the law in the United States to murder

905
00:48:13,719 --> 00:48:16,719
Speaker 1: a person, so it needs to be he needs to

906
00:48:16,760 --> 00:48:20,080
Speaker 1: go to trial and get investigated like every other fucking

907
00:48:20,120 --> 00:48:23,000
Speaker 1: person does or should, and then they could it could

908
00:48:23,040 --> 00:48:26,319
Speaker 1: be determined, Like listen, he might go to court and

909
00:48:26,360 --> 00:48:28,839
Speaker 1: then Jory might stay not guilty and he could be free,

910
00:48:28,880 --> 00:48:31,719
Speaker 1: and we need to respect that. But until then, he

911
00:48:31,840 --> 00:48:35,000
Speaker 1: broke a law, and we need to like investigate that law.

912
00:48:35,080 --> 00:48:38,920
Speaker 1: You can't be threatening people that they're that they're a snitch,

913
00:48:39,680 --> 00:48:42,719
Speaker 1: like he killed somebody. It just just like blows my

914
00:48:42,800 --> 00:48:45,680
Speaker 1: fucking mind, honestly, all Right, So I want to talk

915
00:48:45,719 --> 00:48:48,480
Speaker 1: about this like really similar thing that happened in Philly.

916
00:48:48,560 --> 00:48:52,040
Speaker 1: So during the riots a couple of years ago, you know,

917
00:48:52,200 --> 00:48:55,840
Speaker 1: people were flipping police cars over and setting them on fire,

918
00:48:56,239 --> 00:48:59,640
Speaker 1: and then photographers were at the scene taking pictures of

919
00:48:59,640 --> 00:49:03,160
Speaker 1: all this. And in this one particular photo, the police

920
00:49:03,200 --> 00:49:05,560
Speaker 1: were trying to figure out who set this cop car

921
00:49:05,600 --> 00:49:08,399
Speaker 1: on fire. It's a crime to do something like that,

922
00:49:08,920 --> 00:49:13,440
Speaker 1: so they deserved it, that's what people think. But anyway,

923
00:49:13,680 --> 00:49:16,520
Speaker 1: in the pictures, most of the people are wearing masks

924
00:49:16,719 --> 00:49:18,640
Speaker 1: or their faces are covered, so they were having a

925
00:49:18,680 --> 00:49:21,040
Speaker 1: really hard time identifying the people that were setting the

926
00:49:21,120 --> 00:49:23,880
Speaker 1: cop cars on fire. This was what was really interesting

927
00:49:23,920 --> 00:49:26,600
Speaker 1: to me. In one of the pictures, there was a

928
00:49:26,640 --> 00:49:30,799
Speaker 1: female wearing a very specific T shirt and they were

929
00:49:30,840 --> 00:49:34,640
Speaker 1: able to I guess Google reverse image to search. Google

930
00:49:34,680 --> 00:49:37,279
Speaker 1: reverse searched the image, you know what I'm trying to say.

931
00:49:37,280 --> 00:49:39,160
Speaker 1: They were able to figure out where the shirt came from,

932
00:49:39,239 --> 00:49:42,239
Speaker 1: and it was this very unique shirt from Etsy. So

933
00:49:42,280 --> 00:49:44,440
Speaker 1: then they went to the Etsy shop and they went

934
00:49:44,480 --> 00:49:47,000
Speaker 1: through all the orders and they figured out who found

935
00:49:47,000 --> 00:49:50,080
Speaker 1: it through. That's what they should do. That's what cops do.

936
00:49:50,280 --> 00:49:54,520
Speaker 1: And that person got arrested. Okay, so then they got arrested,

937
00:49:54,640 --> 00:49:57,160
Speaker 1: and then that's what should happen, and then the jury

938
00:49:57,160 --> 00:49:59,520
Speaker 1: could decide if they should be in trouble or not,

939
00:49:59,600 --> 00:50:03,279
Speaker 1: because that's how it works in this country. Yeah, I mean,

940
00:50:03,360 --> 00:50:07,719
Speaker 1: I just think it's like, you know, if you're if

941
00:50:07,760 --> 00:50:11,560
Speaker 1: you're committing a crime, it's just it's not that hard

942
00:50:11,640 --> 00:50:15,840
Speaker 1: in twenty twenty four to find people, right, Like, even

943
00:50:15,880 --> 00:50:18,200
Speaker 1: if I see a T shirt I like on TV,

944
00:50:18,600 --> 00:50:20,960
Speaker 1: I'll take a picture of my TV, go to Google

945
00:50:21,000 --> 00:50:23,279
Speaker 1: and reverse image search it and I will find it.

946
00:50:23,840 --> 00:50:26,920
Speaker 1: So of course, when you're wearing a really specific T shirt,

947
00:50:26,960 --> 00:50:29,240
Speaker 1: not just like a black long sleeve shirt or black

948
00:50:29,280 --> 00:50:32,120
Speaker 1: T shirt, somebody's gonna probably be able to find it. Really,

949
00:50:32,320 --> 00:50:35,439
Speaker 1: this guy and this is this is what's really sad

950
00:50:35,480 --> 00:50:39,480
Speaker 1: because I feel it's the same exact thing with you

951
00:50:39,520 --> 00:50:41,919
Speaker 1: could talk about two different companies right now. You could

952
00:50:41,920 --> 00:50:46,520
Speaker 1: talk about McDonald's and now this backpack company. This guy

953
00:50:47,000 --> 00:50:49,440
Speaker 1: is like a backpack company, and it's not like a

954
00:50:49,520 --> 00:50:52,920
Speaker 1: huge corporation like JanSport or something. It's like the guys.

955
00:50:53,440 --> 00:50:56,720
Speaker 1: The guy's just trying to make a living. He has

956
00:50:56,760 --> 00:51:01,080
Speaker 1: nothing to do with like anything, and he's he gets

957
00:51:01,120 --> 00:51:04,760
Speaker 1: pulled into it because a murderer is wearing his product.

958
00:51:05,239 --> 00:51:08,680
Speaker 1: And now not only like he said when he called

959
00:51:08,680 --> 00:51:11,680
Speaker 1: to report it, that that was his company, he said

960
00:51:11,680 --> 00:51:15,160
Speaker 1: that they already had had multiple tips that that backpack

961
00:51:15,280 --> 00:51:17,680
Speaker 1: was from that company, and if they were onto it,

962
00:51:18,080 --> 00:51:20,239
Speaker 1: if he called or not, he was going to get

963
00:51:20,239 --> 00:51:22,920
Speaker 1: a court order to give over his customers exactly, So

964
00:51:23,040 --> 00:51:26,600
Speaker 1: he's he's screwed either way, just because the guy. Now, like,

965
00:51:26,680 --> 00:51:29,000
Speaker 1: what is if the cops come to him and say

966
00:51:29,000 --> 00:51:32,239
Speaker 1: we need the records from this particular model of backpack,

967
00:51:32,840 --> 00:51:35,279
Speaker 1: he can't say no legally or hol go to jail

968
00:51:35,320 --> 00:51:38,200
Speaker 1: for withholding evidence. So if he gives it, then he's

969
00:51:38,200 --> 00:51:40,440
Speaker 1: a snitch. Like it. People just don't even think of

970
00:51:40,440 --> 00:51:42,960
Speaker 1: the positions people are in. It's the same shit with

971
00:51:42,960 --> 00:51:46,080
Speaker 1: the McDonald's, Like, what the fuck does McDonald's have to

972
00:51:46,120 --> 00:51:48,759
Speaker 1: do with this guy who killed someone and happened to

973
00:51:48,760 --> 00:51:50,680
Speaker 1: be sitting there at that moment in timey in a

974
00:51:50,719 --> 00:51:53,960
Speaker 1: hash brown, Like people are leaving negative reviews on that

975
00:51:54,040 --> 00:51:58,080
Speaker 1: particular location of the McDonald's that's an individually owned franchise,

976
00:51:58,120 --> 00:52:00,759
Speaker 1: that you're fucking somebody's business up because that it has

977
00:52:00,800 --> 00:52:03,280
Speaker 1: nothing to do with this guy. I think we could,

978
00:52:03,400 --> 00:52:06,600
Speaker 1: you know. It's just like people are fucking idiots sometimes,

979
00:52:06,640 --> 00:52:10,120
Speaker 1: I swear, even take yourself out of this situation and

980
00:52:10,160 --> 00:52:12,759
Speaker 1: how you feel other way, just think about anything that

981
00:52:12,840 --> 00:52:16,200
Speaker 1: happens in life anymore. People are just so easy to

982
00:52:16,239 --> 00:52:19,000
Speaker 1: make a TikTok, leave a review or anything. I think

983
00:52:19,280 --> 00:52:24,879
Speaker 1: people are just like unwell because if this, if the

984
00:52:24,920 --> 00:52:28,839
Speaker 1: slightest thing happens that you do not like, people are

985
00:52:28,880 --> 00:52:31,320
Speaker 1: the first to jump on TikTok and make a video

986
00:52:31,440 --> 00:52:35,080
Speaker 1: talking shit about it. You know. The craziest thing to

987
00:52:35,120 --> 00:52:38,560
Speaker 1: me is that there's always, like, throughout history and stuff,

988
00:52:38,600 --> 00:52:42,640
Speaker 1: you always could think about people from any side, and

989
00:52:42,680 --> 00:52:45,440
Speaker 1: whatever you think about, there's always like certain things that

990
00:52:45,560 --> 00:52:48,960
Speaker 1: most people could agree with. And shit got so fucking

991
00:52:49,000 --> 00:52:52,239
Speaker 1: weird in the past couple of years. Like I used

992
00:52:52,280 --> 00:52:55,560
Speaker 1: to think that if you said to somebody, what do

993
00:52:55,600 --> 00:52:58,480
Speaker 1: you think about grown ups having sex with children? That

994
00:52:58,680 --> 00:53:01,960
Speaker 1: every single person in the country would be like fuck them,

995
00:53:02,560 --> 00:53:05,919
Speaker 1: Like those people are discussing human beings, and now there's

996
00:53:05,960 --> 00:53:08,840
Speaker 1: people that like, they don't they want to talk about it,

997
00:53:08,880 --> 00:53:13,800
Speaker 1: and they don't necessarily disagree with it. Like then you think, okay,

998
00:53:13,880 --> 00:53:16,480
Speaker 1: maybe we could all agree that murder's bad, right, we

999
00:53:16,560 --> 00:53:18,440
Speaker 1: all could say, like you shouldn't be able to go

1000
00:53:18,520 --> 00:53:20,239
Speaker 1: up to somebody in the middle of New York City

1001
00:53:20,239 --> 00:53:22,319
Speaker 1: and shoot them in the head because you disagree with

1002
00:53:22,360 --> 00:53:25,880
Speaker 1: what they're doing. And now it's like you can like,

1003
00:53:26,840 --> 00:53:28,920
Speaker 1: how could you how could we ever? Like you have

1004
00:53:29,000 --> 00:53:31,880
Speaker 1: the nice people if we can't keep on like these basic,

1005
00:53:32,560 --> 00:53:36,120
Speaker 1: these basic human things. But then people will come back

1006
00:53:36,160 --> 00:53:38,359
Speaker 1: at you and say, what's the difference if that guy

1007
00:53:38,440 --> 00:53:42,080
Speaker 1: got murdered because he killed many more people with his

1008
00:53:42,200 --> 00:53:45,680
Speaker 1: horrible policies. Yeah, and so did doctor Fauci, and and

1009
00:53:45,680 --> 00:53:48,080
Speaker 1: and I could go on the list of thousands. I

1010
00:53:48,080 --> 00:53:50,359
Speaker 1: could name fifty people off the top of my head

1011
00:53:50,440 --> 00:53:53,880
Speaker 1: right now that like, how about people that do brownouts

1012
00:53:53,880 --> 00:53:56,640
Speaker 1: on fire companies and people that are short staffed in

1013
00:53:56,880 --> 00:54:00,439
Speaker 1: police departments and blah blah blah. There's always there's always

1014
00:54:00,520 --> 00:54:03,400
Speaker 1: somebody like I bring this example up of like some

1015
00:54:03,520 --> 00:54:06,120
Speaker 1: of my old bosses at the hospital that would just

1016
00:54:06,239 --> 00:54:08,680
Speaker 1: like cut corners all the time and cut staff and

1017
00:54:08,719 --> 00:54:11,600
Speaker 1: overwork the staff that was there. And people's cancer what

1018
00:54:11,680 --> 00:54:13,799
Speaker 1: and get diagnosed correctly or this that or the other,

1019
00:54:13,880 --> 00:54:16,439
Speaker 1: which ultimate will lead to them dying, Like you could

1020
00:54:16,520 --> 00:54:20,399
Speaker 1: just you could talk about it so many people, right,

1021
00:54:20,440 --> 00:54:23,400
Speaker 1: All right, Well, let's move on. Speaking of VETSI, they

1022
00:54:23,480 --> 00:54:27,240
Speaker 1: removed Luigi Merch because people were making ornament t shirts

1023
00:54:27,320 --> 00:54:31,000
Speaker 1: and everything, and they there was a gofunme that started,

1024
00:54:31,000 --> 00:54:33,880
Speaker 1: but gofunn took it down. But there is another active

1025
00:54:34,200 --> 00:54:37,240
Speaker 1: fundraising website which has raised over one hundred and thirty

1026
00:54:37,280 --> 00:54:41,600
Speaker 1: thousand dollars. It's so funny how you like you could

1027
00:54:41,640 --> 00:54:44,480
Speaker 1: see all of these kits and it's it's a lot

1028
00:54:44,520 --> 00:54:46,680
Speaker 1: of it is like young people that are just it

1029
00:54:46,920 --> 00:54:49,400
Speaker 1: just can't think for themselves and they just jump on

1030
00:54:49,480 --> 00:54:52,319
Speaker 1: the latest trend. You can really write a list of

1031
00:54:52,400 --> 00:54:54,239
Speaker 1: all of the different things that have happened over the

1032
00:54:54,280 --> 00:54:56,960
Speaker 1: couple years and been like this is the trending thing.

1033
00:54:57,080 --> 00:54:59,160
Speaker 1: So now it's like the trending thing for all these

1034
00:54:59,200 --> 00:55:01,960
Speaker 1: people to be doing these posts saying they were with

1035
00:55:02,080 --> 00:55:05,080
Speaker 1: Luigi between that time period for an albi. Have you

1036
00:55:05,120 --> 00:55:08,439
Speaker 1: seen those? No, there's like all these people will post

1037
00:55:08,520 --> 00:55:10,680
Speaker 1: a picture of them like under a Christmas tree with

1038
00:55:10,760 --> 00:55:13,719
Speaker 1: him cropped into it, and they'll say I was with

1039
00:55:13,880 --> 00:55:17,120
Speaker 1: Luigi on December fourth between the hours of six am

1040
00:55:17,200 --> 00:55:20,239
Speaker 1: and six pm or something like that, like saying that

1041
00:55:20,320 --> 00:55:23,160
Speaker 1: they are his alibi. But there's like lots of people

1042
00:55:23,239 --> 00:55:25,960
Speaker 1: posting it, just like randos, but they're all they're all

1043
00:55:26,000 --> 00:55:29,319
Speaker 1: young people. It's a trend whatever, Like let me be

1044
00:55:29,400 --> 00:55:31,800
Speaker 1: cool with my friends. Yeah, just get out. I'm exhausted

1045
00:55:31,840 --> 00:55:34,400
Speaker 1: by this topic. I just want to move on. Okay,

1046
00:55:34,560 --> 00:55:37,800
Speaker 1: all right, influencer Hannah Hyatt is being investigated by police

1047
00:55:37,840 --> 00:55:40,000
Speaker 1: after posting a video where her son appeared to be

1048
00:55:40,040 --> 00:55:44,720
Speaker 1: flinching and afraid of her and her husband. So I couldn't.

1049
00:55:44,920 --> 00:55:47,680
Speaker 1: I found the video and like half of it is

1050
00:55:47,719 --> 00:55:50,799
Speaker 1: blurred out. She apparently took it down. So do you

1051
00:55:51,080 --> 00:55:54,239
Speaker 1: have any insight on this? Because it looked like the

1052
00:55:54,320 --> 00:55:56,360
Speaker 1: kid was sitting in a shop and car and the

1053
00:55:56,840 --> 00:55:59,000
Speaker 1: dad was like going to put a box in the

1054
00:55:59,080 --> 00:56:02,160
Speaker 1: car and the kid like jumped back, and all these

1055
00:56:02,200 --> 00:56:04,560
Speaker 1: people are saying that he was flinching, like he was

1056
00:56:04,600 --> 00:56:07,879
Speaker 1: scared he was gonna get hit or something. How could

1057
00:56:07,880 --> 00:56:10,759
Speaker 1: you possibly tell that from a video. I'm not even

1058
00:56:10,800 --> 00:56:13,320
Speaker 1: defending her, Listen, I have a serious problem with people

1059
00:56:13,400 --> 00:56:16,040
Speaker 1: using their children heavily on social media, So I just

1060
00:56:16,080 --> 00:56:17,960
Speaker 1: try to put that out there. I'm not defending her,

1061
00:56:18,360 --> 00:56:21,279
Speaker 1: but like, how can you seriously tell something like that

1062
00:56:21,320 --> 00:56:23,880
Speaker 1: from a video to the point where child protective services

1063
00:56:23,920 --> 00:56:27,520
Speaker 1: is involved? Well, I think child protective services have to

1064
00:56:27,520 --> 00:56:30,160
Speaker 1: be involved if people call them if they can't ignore

1065
00:56:30,280 --> 00:56:33,640
Speaker 1: the calls. So right there, that doesn't mean that doesn't

1066
00:56:33,719 --> 00:56:36,959
Speaker 1: mean anything. I I and like I said, the whole

1067
00:56:37,280 --> 00:56:39,239
Speaker 1: like literally half the video was blurred out, so I

1068
00:56:39,239 --> 00:56:42,160
Speaker 1: couldn't see the kid's face, but I saw what it

1069
00:56:42,200 --> 00:56:44,080
Speaker 1: looked like. The guy was like holding a box in

1070
00:56:44,120 --> 00:56:47,200
Speaker 1: the freezer section and like going to like put it

1071
00:56:47,239 --> 00:56:49,799
Speaker 1: into the car, and maybe the kid flinched because they

1072
00:56:50,280 --> 00:56:52,279
Speaker 1: thought that the box was coming too close to their

1073
00:56:52,320 --> 00:56:54,759
Speaker 1: face or something like. I don't really know because I

1074
00:56:54,800 --> 00:56:57,600
Speaker 1: couldn't one hundred percent make it out. But I do

1075
00:56:57,680 --> 00:57:02,000
Speaker 1: think that it's almost fucked up to start a viral

1076
00:57:02,080 --> 00:57:07,000
Speaker 1: claim that a kid looks like like they're getting child abused,

1077
00:57:07,040 --> 00:57:10,080
Speaker 1: when what if that's like genuinely didn't happen, and now

1078
00:57:10,120 --> 00:57:15,400
Speaker 1: you're publicly accusing a father of beating their child, and

1079
00:57:16,000 --> 00:57:19,080
Speaker 1: even if it's proven that that doesn't happen, like those

1080
00:57:19,840 --> 00:57:22,680
Speaker 1: accusations never really go away, Like that's always going to

1081
00:57:22,720 --> 00:57:26,160
Speaker 1: be like permanently tattooed on this guy. I think the

1082
00:57:26,200 --> 00:57:28,600
Speaker 1: bigger conversation we need to have is, you know, I

1083
00:57:28,640 --> 00:57:31,560
Speaker 1: don't see a problem with people posting photos and everything

1084
00:57:31,600 --> 00:57:33,680
Speaker 1: of their kids, their little funny moments here or there,

1085
00:57:33,680 --> 00:57:37,640
Speaker 1: But when your primary content involves your child, I don't

1086
00:57:37,680 --> 00:57:41,040
Speaker 1: understand how you're being a present mother and well we

1087
00:57:41,080 --> 00:57:43,400
Speaker 1: should just die. And you could argue that they're setting

1088
00:57:43,480 --> 00:57:46,640
Speaker 1: their self up. You're putting yourself out there for that.

1089
00:57:48,000 --> 00:57:49,880
Speaker 1: And there were other videos too. I guess there was

1090
00:57:49,920 --> 00:57:53,920
Speaker 1: another video where she was like how many dirty diapers

1091
00:57:53,920 --> 00:57:55,640
Speaker 1: can you find around the house? And there was like

1092
00:57:55,720 --> 00:57:58,800
Speaker 1: seventeen diapers or something in this video all around the

1093
00:57:58,840 --> 00:58:04,880
Speaker 1: house up in this corner, in this corner, and like

1094
00:58:05,880 --> 00:58:08,680
Speaker 1: that's you know, that's people will say, oh, they're they're

1095
00:58:08,720 --> 00:58:11,520
Speaker 1: they're living in unsanitary conditions and stuff like that, but

1096
00:58:11,640 --> 00:58:15,040
Speaker 1: like when you point it was probably it probably isn't

1097
00:58:15,080 --> 00:58:17,280
Speaker 1: even real. That's the thing. Like people make videos and

1098
00:58:17,280 --> 00:58:19,120
Speaker 1: it's like they're the kids will tell me about these

1099
00:58:19,160 --> 00:58:21,280
Speaker 1: videos all the time, and I'm like, that didn't even happen.

1100
00:58:21,320 --> 00:58:23,800
Speaker 1: They completely set that up. Like this mister Beasts guy

1101
00:58:23,880 --> 00:58:26,760
Speaker 1: has like a whole staff behind these cameras. Like a

1102
00:58:26,760 --> 00:58:28,480
Speaker 1: lot of it is just like set up shit, you

1103
00:58:28,520 --> 00:58:32,320
Speaker 1: know what I mean? Like I don't know, so I'm

1104
00:58:32,360 --> 00:58:34,600
Speaker 1: not I'm not defending her either. I think that I

1105
00:58:34,600 --> 00:58:38,280
Speaker 1: think that she's just another person that's like a nurse

1106
00:58:38,360 --> 00:58:40,200
Speaker 1: or something that's doing this with the kids. And you're

1107
00:58:40,280 --> 00:58:44,400
Speaker 1: just like why, like now, like if you're under investigation

1108
00:58:44,520 --> 00:58:46,320
Speaker 1: for child abuse, I'm not sure that you could be

1109
00:58:46,400 --> 00:58:48,320
Speaker 1: a nurse and work in a hospital. I don't, I

1110
00:58:48,320 --> 00:58:53,080
Speaker 1: don't know, you know, like just fucking stupid. But but listen,

1111
00:58:53,280 --> 00:58:56,400
Speaker 1: Like there's a real case that happened this Ruby Frank

1112
00:58:56,480 --> 00:59:00,480
Speaker 1: Lady for recovered it a bunch. Yeah, So so this

1113
00:59:00,560 --> 00:59:04,880
Speaker 1: has happened where there was a mom influencer on YouTube

1114
00:59:04,920 --> 00:59:08,480
Speaker 1: that had millions of followers who was actually abusing her

1115
00:59:08,560 --> 00:59:11,920
Speaker 1: children to the point where she was tying them up

1116
00:59:11,960 --> 00:59:14,440
Speaker 1: and not feeding them. And the kid escaped the house

1117
00:59:14,520 --> 00:59:18,600
Speaker 1: and had raw marks on the around their hands and

1118
00:59:18,800 --> 00:59:22,040
Speaker 1: legs where they were like had rope tied around them

1119
00:59:22,120 --> 00:59:26,120
Speaker 1: too tight, which is a chronic wound. It's not something

1120
00:59:26,120 --> 00:59:30,080
Speaker 1: that just happened from a one time thing. And she

1121
00:59:30,760 --> 00:59:36,600
Speaker 1: got charged with what aggravated child abuse and like she's

1122
00:59:36,640 --> 00:59:39,920
Speaker 1: in prison right now, right I don't know the status

1123
00:59:39,920 --> 00:59:41,800
Speaker 1: of where she is right now. I think that so

1124
00:59:41,920 --> 00:59:44,600
Speaker 1: many people are using their children in their social media

1125
00:59:44,640 --> 00:59:48,760
Speaker 1: that they're literally making laws about the children getting paid

1126
00:59:49,320 --> 00:59:52,120
Speaker 1: from being in the videos. Which is so ridiculous to

1127
00:59:52,160 --> 00:59:56,080
Speaker 1: think that so many kids are on YouTube, TikTok, Instagram

1128
00:59:56,120 --> 00:59:58,360
Speaker 1: and everything that they are now getting a cut of

1129
00:59:58,440 --> 01:00:00,760
Speaker 1: money that their parents are making off of using them,

1130
01:00:01,080 --> 01:00:04,200
Speaker 1: which they should. They should. I'm just saying the amount

1131
01:00:04,280 --> 01:00:07,560
Speaker 1: of children being used in that way is ridiculous. It's

1132
01:00:07,680 --> 01:00:11,720
Speaker 1: it's just similar to you know, we watch like Disney

1133
01:00:11,840 --> 01:00:14,400
Speaker 1: Channel shows with kids and their kid actors. Right, it's

1134
01:00:14,480 --> 01:00:17,240
Speaker 1: literally the same thing like when you have And we

1135
01:00:17,400 --> 01:00:20,280
Speaker 1: know this because we have a social media channel that

1136
01:00:20,440 --> 01:00:23,800
Speaker 1: we don't even post anywhere nearly as much as some

1137
01:00:23,840 --> 01:00:27,160
Speaker 1: of these people do. It's it's a job. And to

1138
01:00:27,280 --> 01:00:29,560
Speaker 1: think every single time we do a post, we would

1139
01:00:29,600 --> 01:00:31,280
Speaker 1: have to go to our kids and be like, hey,

1140
01:00:31,840 --> 01:00:33,680
Speaker 1: you need to come here and work because we need

1141
01:00:33,720 --> 01:00:36,560
Speaker 1: to make this video. It's a job for them and

1142
01:00:36,560 --> 01:00:39,400
Speaker 1: they should. They should get paid and have some kind

1143
01:00:39,400 --> 01:00:42,720
Speaker 1: of protections. You could say that they are living the

1144
01:00:42,800 --> 01:00:45,080
Speaker 1: money because usually a parent will buy a better house

1145
01:00:45,160 --> 01:00:47,760
Speaker 1: or a better car or whatever. But like, ultimately the

1146
01:00:48,440 --> 01:00:50,200
Speaker 1: parents can blow through all the money and the child

1147
01:00:50,240 --> 01:00:53,480
Speaker 1: will have nothing and they're completely exploited by the time

1148
01:00:53,520 --> 01:00:56,840
Speaker 1: they're an adult. So they should have some kind of

1149
01:00:57,080 --> 01:01:00,800
Speaker 1: rights as far as I'm concerned. Yeah, let's talk about

1150
01:01:00,800 --> 01:01:03,920
Speaker 1: Ellen Greenberg. We talked about her on this show in August.

1151
01:01:04,000 --> 01:01:06,080
Speaker 1: We talked about her quite a lot in the gross Room.

1152
01:01:06,480 --> 01:01:08,360
Speaker 1: She is the teacher that was found dead back in

1153
01:01:08,360 --> 01:01:12,440
Speaker 1: twenty eleven. It was initially ruled a homicide, then switched

1154
01:01:12,440 --> 01:01:14,800
Speaker 1: to a suicide, but her family is working to get

1155
01:01:14,800 --> 01:01:17,600
Speaker 1: the manner of death switch back to homicide or undetermined,

1156
01:01:18,000 --> 01:01:20,160
Speaker 1: and now her fiance at the time of her death

1157
01:01:20,200 --> 01:01:23,880
Speaker 1: is speaking out for the first time since. So obviously

1158
01:01:23,920 --> 01:01:30,160
Speaker 1: with this case, it's just a big We did a

1159
01:01:30,240 --> 01:01:33,120
Speaker 1: high profile death dis section on this two years ago now,

1160
01:01:33,720 --> 01:01:36,240
Speaker 1: and we really broke it down. It's two parts, and

1161
01:01:36,280 --> 01:01:38,880
Speaker 1: it just really goes through the autopsy report and breaks

1162
01:01:38,920 --> 01:01:42,480
Speaker 1: down every single thing that was seen, and you can

1163
01:01:42,560 --> 01:01:44,480
Speaker 1: listen to one side of the story and say it

1164
01:01:44,520 --> 01:01:46,440
Speaker 1: was definitely suicide, or one side of the story and

1165
01:01:46,480 --> 01:01:50,720
Speaker 1: say it was definitely homicide, whatever it ends up being

1166
01:01:50,800 --> 01:01:53,600
Speaker 1: if they do ever reopen the case and look into

1167
01:01:53,600 --> 01:01:57,360
Speaker 1: it more. The boyfriend at the time or the fiance

1168
01:01:57,520 --> 01:02:02,400
Speaker 1: at the time, had a lot of suspicious behavior around

1169
01:02:02,840 --> 01:02:06,240
Speaker 1: around her death, and that's why he's always been had

1170
01:02:06,360 --> 01:02:09,080
Speaker 1: the spot light on him. And in addition to that,

1171
01:02:09,760 --> 01:02:13,040
Speaker 1: he had some people in his family that like, what

1172
01:02:13,160 --> 01:02:15,720
Speaker 1: did they work for the DA's office or something. There

1173
01:02:15,760 --> 01:02:18,960
Speaker 1: was there was some there was something with one of

1174
01:02:19,320 --> 01:02:21,959
Speaker 1: the uncles or something that he called right away after

1175
01:02:22,040 --> 01:02:24,760
Speaker 1: it happened, and he was a higher up person in

1176
01:02:24,960 --> 01:02:30,200
Speaker 1: Philadelphia government as far as that's concerned. So and just

1177
01:02:30,360 --> 01:02:33,400
Speaker 1: the whole entire way that the death went down. So

1178
01:02:33,560 --> 01:02:37,480
Speaker 1: let's say, let's say suicide, right, there's definitely things that

1179
01:02:37,520 --> 01:02:40,560
Speaker 1: we could say were suicide. She didn't have any history

1180
01:02:40,600 --> 01:02:44,360
Speaker 1: of suicidal ideations, but she was very anxious because she

1181
01:02:44,520 --> 01:02:47,959
Speaker 1: was getting married and so much so she couldn't sleep

1182
01:02:48,040 --> 01:02:51,080
Speaker 1: or anything, and she was being she was having doctor's

1183
01:02:51,120 --> 01:02:55,360
Speaker 1: appointments with a psychiatrist that she only saw two or

1184
01:02:55,400 --> 01:02:57,760
Speaker 1: three times over the course of two weeks, and during

1185
01:02:57,800 --> 01:03:03,280
Speaker 1: that time she was given multiple psychiatric drugs, including zoloft.

1186
01:03:03,560 --> 01:03:06,120
Speaker 1: So this just happened within a two week period. She

1187
01:03:06,240 --> 01:03:09,520
Speaker 1: was given zoloft and then they said she said it

1188
01:03:09,600 --> 01:03:12,280
Speaker 1: wasn't working, which I was under the assumption that an

1189
01:03:12,320 --> 01:03:15,880
Speaker 1: SSRI takes at least two weeks to give the full effects.

1190
01:03:16,400 --> 01:03:19,520
Speaker 1: Then they switched her to xanax. Then they prescribed her

1191
01:03:19,600 --> 01:03:24,080
Speaker 1: ambient and Kuanipinus sleep. All of those drugs have they

1192
01:03:24,160 --> 01:03:27,880
Speaker 1: can have a history of causing people to have psychotic episodes,

1193
01:03:28,200 --> 01:03:32,280
Speaker 1: so that alone could have caused her to be suicidal.

1194
01:03:32,320 --> 01:03:35,400
Speaker 1: At the time and psychosis like doing something like stabbing

1195
01:03:35,440 --> 01:03:41,200
Speaker 1: yourself multiple times. Also, the forensic evidence showed that she

1196
01:03:41,360 --> 01:03:44,720
Speaker 1: there was no DNA on the weapon or her clothes

1197
01:03:44,760 --> 01:03:47,600
Speaker 1: except hers. There was no other foreign DNA, which means

1198
01:03:47,600 --> 01:03:52,200
Speaker 1: nothing because a person could go around that by wearing

1199
01:03:52,240 --> 01:03:56,720
Speaker 1: gloves or something like that. Also, in the autopsy report,

1200
01:03:57,520 --> 01:04:00,000
Speaker 1: it did say that she had stabbed herself in then,

1201
01:04:00,320 --> 01:04:02,680
Speaker 1: but she had nicked the dora matter, which is the

1202
01:04:02,720 --> 01:04:06,160
Speaker 1: covering around the spinal cord, but did not sever it,

1203
01:04:06,200 --> 01:04:08,440
Speaker 1: which would have caused her to still be capable to

1204
01:04:08,560 --> 01:04:12,880
Speaker 1: use it to use her arms to do additional stab wounds.

1205
01:04:14,200 --> 01:04:17,160
Speaker 1: But the biggest, the biggest fight against this is that

1206
01:04:17,200 --> 01:04:20,520
Speaker 1: the autopsy report in itself and the person that performed

1207
01:04:20,520 --> 01:04:23,480
Speaker 1: the autopsy was just such a complete shit show that

1208
01:04:23,920 --> 01:04:27,320
Speaker 1: we don't know, we don't know what happened, you know,

1209
01:04:28,600 --> 01:04:31,960
Speaker 1: And that's why the report is so important. Could you

1210
01:04:32,200 --> 01:04:35,640
Speaker 1: argue that if you if like the medical examiner, I know,

1211
01:04:35,680 --> 01:04:37,439
Speaker 1: you're not supposed to do this. I'm just saying, could

1212
01:04:37,480 --> 01:04:40,320
Speaker 1: you argue that if the medical examiner goes into a

1213
01:04:40,360 --> 01:04:43,160
Speaker 1: case thinking it's a certain way, that they're only looking

1214
01:04:43,200 --> 01:04:46,160
Speaker 1: for signs of that, so that when then you when

1215
01:04:46,240 --> 01:04:48,320
Speaker 1: you want to change it and go back and evaluate it,

1216
01:04:48,360 --> 01:04:51,600
Speaker 1: they might not have other information that could be helpful

1217
01:04:51,840 --> 01:04:54,080
Speaker 1: in changing the cause of death. Yeah, and I one

1218
01:04:54,160 --> 01:04:56,680
Speaker 1: hundred percent that think that's a possibility in this case,

1219
01:04:56,880 --> 01:05:00,440
Speaker 1: just because he did initially roll it a homicide. So

1220
01:05:01,160 --> 01:05:04,840
Speaker 1: he gets he gets the body, you know, he gets

1221
01:05:04,840 --> 01:05:08,240
Speaker 1: the whole investigative report too, before the body. But when

1222
01:05:08,520 --> 01:05:11,520
Speaker 1: he's at the medical examiner's office, opens the body bag

1223
01:05:11,560 --> 01:05:15,360
Speaker 1: and has this body, and all he reads is she

1224
01:05:15,520 --> 01:05:20,480
Speaker 1: was stabbed twenty times, found in her apartment by her boyfriend.

1225
01:05:20,560 --> 01:05:23,240
Speaker 1: Like all these specific facts is they didn't have all

1226
01:05:23,280 --> 01:05:25,640
Speaker 1: of the evidence of the kaisha obviously, they didn't know

1227
01:05:25,680 --> 01:05:28,640
Speaker 1: about the DNA yet and all of this stuff. And

1228
01:05:29,080 --> 01:05:32,560
Speaker 1: that's I don't I don't I think that any person

1229
01:05:32,600 --> 01:05:34,760
Speaker 1: in the world would be like, Okay, you got stabbed

1230
01:05:34,800 --> 01:05:37,400
Speaker 1: twenty times or whatever, like clearly somebody did this. But

1231
01:05:37,480 --> 01:05:39,480
Speaker 1: like when you're a medical examiner, you just need to

1232
01:05:39,520 --> 01:05:43,360
Speaker 1: keep your mind open that this could be anything. But

1233
01:05:43,560 --> 01:05:46,480
Speaker 1: he initially rolled it a homicide, which makes me think, yes,

1234
01:05:46,520 --> 01:05:48,680
Speaker 1: that he did go into the autopsy thinking it was

1235
01:05:48,720 --> 01:05:52,640
Speaker 1: a homicide and just was documenting these stab wounds. But

1236
01:05:53,600 --> 01:05:57,800
Speaker 1: this medical examiner particular in Philadelphia had multiple reprimanded letters

1237
01:05:57,800 --> 01:06:01,280
Speaker 1: for being sloppy with his autopsy reports, and like, the

1238
01:06:01,640 --> 01:06:04,600
Speaker 1: bottom line is that her body, her autopsy's done, and

1239
01:06:04,600 --> 01:06:06,959
Speaker 1: her body's gone, and there's no one to go back

1240
01:06:07,040 --> 01:06:11,640
Speaker 1: and look at what was there except the documentation that

1241
01:06:11,680 --> 01:06:14,920
Speaker 1: he provided and what they could look at with whatever

1242
01:06:14,960 --> 01:06:18,200
Speaker 1: sections they took under the microscope. And one of the

1243
01:06:18,240 --> 01:06:20,760
Speaker 1: biggest things that they say in this case is that

1244
01:06:20,640 --> 01:06:24,320
Speaker 1: the injury to her spinal cord. So if it was like, okay,

1245
01:06:24,360 --> 01:06:27,840
Speaker 1: they only like the knife tip but pushed the spinal

1246
01:06:27,880 --> 01:06:30,320
Speaker 1: cord but didn't do anything, then yes, she could have

1247
01:06:30,400 --> 01:06:32,520
Speaker 1: used her arms. But if it could it even a

1248
01:06:32,520 --> 01:06:35,120
Speaker 1: little bit, then she wouldn't have been able to There's

1249
01:06:35,200 --> 01:06:37,680
Speaker 1: things like that, like how could she have done that?

1250
01:06:37,840 --> 01:06:39,800
Speaker 1: And she would have already been dead or she would

1251
01:06:39,800 --> 01:06:43,960
Speaker 1: have been paralyzed or whatever. But like now there's no

1252
01:06:44,120 --> 01:06:47,000
Speaker 1: going back kind of so now you just have to

1253
01:06:47,040 --> 01:06:51,120
Speaker 1: look at what evidence is available. She had multiple searches

1254
01:06:51,160 --> 01:06:54,160
Speaker 1: on her computer computer during the time of taking all

1255
01:06:54,200 --> 01:06:59,280
Speaker 1: those weird drugs that were referencing suicide. Perhaps there was

1256
01:07:00,120 --> 01:07:04,440
Speaker 1: she was looking up suffocation, suicide methods, sex fantasy death

1257
01:07:04,840 --> 01:07:10,040
Speaker 1: electrocuted by death in a bathtub. Just weird things like

1258
01:07:10,080 --> 01:07:13,200
Speaker 1: that that make you think like, yeah, it's it's possible,

1259
01:07:13,240 --> 01:07:15,960
Speaker 1: even though she wasn't talking about suicide, that she could

1260
01:07:15,960 --> 01:07:19,840
Speaker 1: have because of these drugs, and that maybe that psychiatrist

1261
01:07:19,840 --> 01:07:22,840
Speaker 1: that prescribed her that concoction should be looked into as well.

1262
01:07:23,320 --> 01:07:28,320
Speaker 1: But then the fiance was acting weird as hell afterwards

1263
01:07:28,360 --> 01:07:31,360
Speaker 1: too and has been silent, untild. Now how long ago

1264
01:07:31,480 --> 01:07:34,080
Speaker 1: did this happen. It was in twenty eleven, Yeah, thirteen

1265
01:07:34,120 --> 01:07:38,680
Speaker 1: years thirteen years ago. So that makes you think like, well, well,

1266
01:07:38,720 --> 01:07:42,320
Speaker 1: what's going on here? And that doesn't make him guilty

1267
01:07:42,360 --> 01:07:45,480
Speaker 1: though it does, It doesn't. It doesn't make him guilty.

1268
01:07:45,520 --> 01:07:48,760
Speaker 1: I just think that when you and and listen, like

1269
01:07:48,800 --> 01:07:51,160
Speaker 1: this is one thing that we learned, like everybody acts

1270
01:07:51,160 --> 01:07:54,000
Speaker 1: different when someone dies, like even in your family or whatever.

1271
01:07:54,040 --> 01:07:56,680
Speaker 1: It's just like everyone handles death differently. It just was

1272
01:07:56,760 --> 01:07:59,720
Speaker 1: like the whole and I don't know all of the

1273
01:07:59,800 --> 01:08:02,680
Speaker 1: d tells about how he acted. I just remember when

1274
01:08:02,680 --> 01:08:04,240
Speaker 1: I wrote it up, I was just kind of like,

1275
01:08:04,320 --> 01:08:06,240
Speaker 1: this is a little weird how it's all handled. I

1276
01:08:06,240 --> 01:08:10,000
Speaker 1: feel like he didn't he like call his uncle before

1277
01:08:10,000 --> 01:08:12,320
Speaker 1: he called nine one one or something weird. It just

1278
01:08:12,440 --> 01:08:15,480
Speaker 1: was like stuff that you just normally wouldn't do. You can't.

1279
01:08:15,520 --> 01:08:17,760
Speaker 1: You just can't say that because you've never been in

1280
01:08:17,800 --> 01:08:20,000
Speaker 1: a position like that, So you just can't say that.

1281
01:08:21,280 --> 01:08:23,960
Speaker 1: I can say it. I just said it. Obviously the

1282
01:08:24,040 --> 01:08:26,320
Speaker 1: right thing to do is to call the police first,

1283
01:08:26,320 --> 01:08:28,840
Speaker 1: but some people are in serious state of shock that

1284
01:08:28,880 --> 01:08:30,920
Speaker 1: they don't know what to do. Yeah, I mean, and

1285
01:08:31,080 --> 01:08:34,519
Speaker 1: like the nine one one call sounds Have you ever

1286
01:08:34,560 --> 01:08:37,080
Speaker 1: listened to it? It sounds a little stage. I don't know.

1287
01:08:37,439 --> 01:08:40,879
Speaker 1: Just the whole thing is just weird. But the bottom

1288
01:08:40,920 --> 01:08:42,680
Speaker 1: line is is that the biggest thing to learn from

1289
01:08:42,720 --> 01:08:45,960
Speaker 1: this case is that the autopsy report, if it was

1290
01:08:46,000 --> 01:08:48,320
Speaker 1: done by like a legit person, this wouldn't even have

1291
01:08:48,360 --> 01:08:51,599
Speaker 1: been a question. And now you know what I mean.

1292
01:08:51,640 --> 01:08:54,400
Speaker 1: So it's really important to make sure that your report

1293
01:08:54,439 --> 01:08:56,679
Speaker 1: is like as accurate as can be because in this case,

1294
01:08:56,720 --> 01:09:00,719
Speaker 1: it's you know what I mean, it's it's it's so important.

1295
01:09:00,800 --> 01:09:03,000
Speaker 1: Let's get to the actual story, which is what he

1296
01:09:03,080 --> 01:09:05,800
Speaker 1: said speaking out because we've already explained this case a

1297
01:09:05,800 --> 01:09:08,640
Speaker 1: bunch of times. The fiance is saying, I hope and

1298
01:09:08,680 --> 01:09:11,280
Speaker 1: pray that you never lose someone you love like I

1299
01:09:11,400 --> 01:09:14,559
Speaker 1: did to a terrible disease, meaning mental health, and then

1300
01:09:14,600 --> 01:09:17,719
Speaker 1: be accused by ignorant and misinformed people of causing her death.

1301
01:09:17,960 --> 01:09:20,680
Speaker 1: If you're really writing a truthful story, dig deeper and

1302
01:09:20,720 --> 01:09:23,360
Speaker 1: please do some good by raising awareness for mental health.

1303
01:09:23,680 --> 01:09:26,280
Speaker 1: So I think you know, it's been all these years

1304
01:09:26,320 --> 01:09:30,040
Speaker 1: and he's probably just it's a dramatic thing to go through.

1305
01:09:30,080 --> 01:09:33,880
Speaker 1: Whether he did it questionably or not. I mean, right

1306
01:09:33,920 --> 01:09:36,519
Speaker 1: now he didn't because he's not been convicted of it,

1307
01:09:36,560 --> 01:09:39,160
Speaker 1: but the case has been coming up a lot recently.

1308
01:09:39,600 --> 01:09:41,759
Speaker 1: They're re looking at the case and trying to change

1309
01:09:41,760 --> 01:09:44,240
Speaker 1: the manner of death. And now I think Nancy's writing

1310
01:09:44,240 --> 01:09:46,960
Speaker 1: an entire book about it, so it's pretty hot. I

1311
01:09:47,000 --> 01:09:49,080
Speaker 1: think they didn't they just say a couple of weeks

1312
01:09:49,120 --> 01:09:53,800
Speaker 1: ago that they're not opening it again or something. I don't, yeah,

1313
01:09:53,840 --> 01:09:56,439
Speaker 1: exactly know. I think I think that's I think we

1314
01:09:56,560 --> 01:09:58,960
Speaker 1: talked about that on here. Actually, well we talked about

1315
01:09:59,000 --> 01:10:01,720
Speaker 1: back in August that they were going to look at

1316
01:10:01,800 --> 01:10:04,120
Speaker 1: it and see if it was eligible to be I

1317
01:10:04,120 --> 01:10:06,920
Speaker 1: think maybe we didn't talk about it when we happened,

1318
01:10:06,960 --> 01:10:08,680
Speaker 1: but I think they said at this time they're not.

1319
01:10:08,840 --> 01:10:11,519
Speaker 1: They don't they don't. They're not looking into it anymore.

1320
01:10:11,800 --> 01:10:15,680
Speaker 1: So obviously the parents are still going to try to

1321
01:10:15,800 --> 01:10:18,600
Speaker 1: keep appealing it. And but like, like, look at this

1322
01:10:18,680 --> 01:10:21,519
Speaker 1: from the parent's perspective, it's like you get a call

1323
01:10:21,640 --> 01:10:24,040
Speaker 1: that your daughter's dead, which is just tragic, and then

1324
01:10:24,080 --> 01:10:27,160
Speaker 1: you find out that the preliminary autopsy reports at homicide.

1325
01:10:27,200 --> 01:10:29,920
Speaker 1: So now, in your mind, your child was murdered by somebody,

1326
01:10:30,439 --> 01:10:34,040
Speaker 1: and who you're gonna think it was her fiance, right, Like,

1327
01:10:34,920 --> 01:10:37,320
Speaker 1: I don't fame the parents at all for fighting. And

1328
01:10:37,360 --> 01:10:40,240
Speaker 1: then like a couple of days later or whatever, they're like, oh,

1329
01:10:40,280 --> 01:10:42,400
Speaker 1: never mind, it was suicide. You would be like, what

1330
01:10:42,640 --> 01:10:45,519
Speaker 1: she did, She wasn't even suicidal. But you know, people

1331
01:10:45,560 --> 01:10:47,720
Speaker 1: are suicidal all the time and their parents don't know it.

1332
01:10:47,800 --> 01:10:51,280
Speaker 1: So that's that's one thing. But from her parents' perspective,

1333
01:10:51,520 --> 01:10:53,600
Speaker 1: I would be this. Every single person would be the

1334
01:10:53,640 --> 01:10:55,559
Speaker 1: same way, like, how the hell do you say this

1335
01:10:55,680 --> 01:10:58,360
Speaker 1: was a homicide and then change it to suicide? Like,

1336
01:10:58,400 --> 01:11:00,559
Speaker 1: I don't blame I don't blame them for fighting in

1337
01:11:00,600 --> 01:11:03,559
Speaker 1: it at all, because the report was sloppy, and that's

1338
01:11:03,680 --> 01:11:05,720
Speaker 1: like the central point of this at the end of

1339
01:11:05,760 --> 01:11:07,880
Speaker 1: the day. And then I think a lot of people

1340
01:11:07,960 --> 01:11:10,720
Speaker 1: just have a really hard time accepting if it was

1341
01:11:11,240 --> 01:11:14,280
Speaker 1: if what really happened was that she died by suicide.

1342
01:11:14,360 --> 01:11:16,920
Speaker 1: I think some people have a really hard time just

1343
01:11:17,000 --> 01:11:20,639
Speaker 1: accepting that as the true answer. Yeah, I especially when

1344
01:11:20,680 --> 01:11:23,080
Speaker 1: you have the most sloppy, all topsy report of all times.

1345
01:11:23,240 --> 01:11:26,759
Speaker 1: So and listen, like, even if this is my opinion

1346
01:11:26,840 --> 01:11:29,840
Speaker 1: and this could be whatever, But even if they reopen

1347
01:11:29,920 --> 01:11:32,640
Speaker 1: the case and go through everything, I don't know that

1348
01:11:32,680 --> 01:11:34,719
Speaker 1: they're really ever going to get the answer they want

1349
01:11:34,760 --> 01:11:38,519
Speaker 1: because there's just unless. The only saving thing, which I

1350
01:11:38,600 --> 01:11:40,840
Speaker 1: never really got to the bottom of this, is if

1351
01:11:40,840 --> 01:11:44,240
Speaker 1: they took like if he was talking about that spinal

1352
01:11:44,320 --> 01:11:48,840
Speaker 1: cord injury and he took very good photographs of it.

1353
01:11:49,439 --> 01:11:51,920
Speaker 1: That's the only way that they're going to be able

1354
01:11:52,280 --> 01:11:56,559
Speaker 1: to go through this again and say that injury. If

1355
01:11:56,560 --> 01:11:59,040
Speaker 1: she had that injury, there's no way she could have

1356
01:11:59,680 --> 01:12:03,240
Speaker 1: done anything else with her arms at that point. That

1357
01:12:03,840 --> 01:12:06,200
Speaker 1: But if they don't, if they don't have a photograph

1358
01:12:06,240 --> 01:12:08,160
Speaker 1: and all they have is in writing what he saw,

1359
01:12:08,240 --> 01:12:12,720
Speaker 1: then it's nothing can really change. It's just somebody analyzing

1360
01:12:12,760 --> 01:12:18,000
Speaker 1: the data that's already there. Differently, Yeah, Okay, medical news,

1361
01:12:18,000 --> 01:12:21,520
Speaker 1: we only have one story this week, but it's just unusual.

1362
01:12:21,640 --> 01:12:24,800
Speaker 1: But this guy would not take talk to warn others though.

1363
01:12:24,800 --> 01:12:26,479
Speaker 1: While he was at the gym, he put a towel

1364
01:12:26,479 --> 01:12:28,559
Speaker 1: down on a piece of equipment then picked it up

1365
01:12:28,560 --> 01:12:31,160
Speaker 1: to rub his face. After that, he thought he had

1366
01:12:31,200 --> 01:12:35,400
Speaker 1: contracted pink eye, but it actually turned out to be chmydia. Yeah,

1367
01:12:35,439 --> 01:12:39,320
Speaker 1: so I guess the video is showing this other doctor

1368
01:12:39,360 --> 01:12:43,000
Speaker 1: doing a video online saying that you can't you can

1369
01:12:43,080 --> 01:12:48,320
Speaker 1: only contract chlamydia because of you know, the bacteria can't

1370
01:12:48,320 --> 01:12:52,639
Speaker 1: really survive outside of the body, and basically saying that

1371
01:12:52,640 --> 01:12:59,000
Speaker 1: that claim wasn't true. But I found a paper journal

1372
01:12:59,040 --> 01:13:02,760
Speaker 1: from nineteen ninety five from Cornia Journal that said that

1373
01:13:02,840 --> 01:13:07,040
Speaker 1: they concluded that non porous plastic surfaces can serve as

1374
01:13:07,040 --> 01:13:10,000
Speaker 1: a potential vector for the transmission of chlamydia infection to

1375
01:13:10,040 --> 01:13:14,280
Speaker 1: the eye, especially under humid conditions. So they did a

1376
01:13:14,280 --> 01:13:16,599
Speaker 1: bunch of studies with the bacteria and they saw that

1377
01:13:17,520 --> 01:13:22,639
Speaker 1: like in normal in normal conditions, it cannot survive off

1378
01:13:22,680 --> 01:13:25,080
Speaker 1: of the human body for long. But that's because the

1379
01:13:25,160 --> 01:13:28,320
Speaker 1: human body is a certain temperature and keeps it, you

1380
01:13:28,400 --> 01:13:30,120
Speaker 1: know what I mean, that that's what helps nourish it

1381
01:13:30,120 --> 01:13:33,719
Speaker 1: and keep it alive. So if it's in a humid condition,

1382
01:13:34,479 --> 01:13:38,720
Speaker 1: like let's say, sweat from a gym hot, you know

1383
01:13:38,760 --> 01:13:41,720
Speaker 1: what I mean. Like it in theory, it could. It's not.

1384
01:13:41,960 --> 01:13:44,400
Speaker 1: It's not like, okay, everybody needs to just like be

1385
01:13:44,479 --> 01:13:47,160
Speaker 1: careful of this, but like in theory, according to this paper,

1386
01:13:47,240 --> 01:13:50,400
Speaker 1: it could happen. Well. I also saw later in the

1387
01:13:50,479 --> 01:13:53,200
Speaker 1: article it said that you could possibly contract it by

1388
01:13:53,240 --> 01:13:56,840
Speaker 1: sharing sex toys. And what's different between a bench at

1389
01:13:56,840 --> 01:14:01,080
Speaker 1: the gym and a sex toy because they're both objects taken. Yeah,

1390
01:14:01,120 --> 01:14:04,439
Speaker 1: I mean, and that's true that you can it's I

1391
01:14:04,439 --> 01:14:09,000
Speaker 1: guess with a sex toy. Like it wouldn't be like, Okay,

1392
01:14:09,360 --> 01:14:11,639
Speaker 1: you use the sex toy and then leave it out

1393
01:14:11,680 --> 01:14:13,640
Speaker 1: for ten days and then a person uses it and

1394
01:14:13,680 --> 01:14:15,960
Speaker 1: gets it. It would have to be like at the same

1395
01:14:16,000 --> 01:14:20,960
Speaker 1: time situation. So it's the same thing. Like, but listen,

1396
01:14:21,000 --> 01:14:23,479
Speaker 1: you've been to the gym, right, Like sometimes you'll go

1397
01:14:23,560 --> 01:14:30,200
Speaker 1: and see men whatever, but women especially because your your

1398
01:14:30,400 --> 01:14:33,080
Speaker 1: fluids are just like right there out in the open, right,

1399
01:14:33,120 --> 01:14:36,840
Speaker 1: It's like you're wearing a pair of leggings and you're

1400
01:14:36,880 --> 01:14:39,599
Speaker 1: not wearing underwear underneath. It's only just like a thin

1401
01:14:39,720 --> 01:14:42,920
Speaker 1: layer of fabric between you and the bench that you're

1402
01:14:42,920 --> 01:14:46,280
Speaker 1: sitting on. How many times have you seen like full

1403
01:14:46,360 --> 01:14:49,200
Speaker 1: on ass and layby a prints on like the chairs

1404
01:14:49,240 --> 01:14:51,800
Speaker 1: at the gym and stuff. It's if if you went

1405
01:14:51,880 --> 01:14:55,200
Speaker 1: from like wet to wet it in theory, it could

1406
01:14:55,240 --> 01:14:58,840
Speaker 1: potentially happen. Is it common to not wear underwear at

1407
01:14:58,840 --> 01:15:00,840
Speaker 1: the gym? Because I don't think I really knew this,

1408
01:15:00,960 --> 01:15:03,000
Speaker 1: but I'm not a gym person. I mean, you could

1409
01:15:03,040 --> 01:15:06,040
Speaker 1: just tell by looking at me that I'm person, but

1410
01:15:06,760 --> 01:15:09,639
Speaker 1: I don't. I don't know what. I don't know. I've

1411
01:15:09,800 --> 01:15:13,479
Speaker 1: I've never not worn underwear to work out. I guess

1412
01:15:13,520 --> 01:15:16,280
Speaker 1: it's just a common thing. Yeah, but people. Yeah, but

1413
01:15:16,320 --> 01:15:18,200
Speaker 1: like if you want your ass to look good in

1414
01:15:18,560 --> 01:15:21,680
Speaker 1: your leggings, then you wouldn't want to have like pantylones.

1415
01:15:22,479 --> 01:15:24,720
Speaker 1: I just feel like it wouldn't. You're You're just not

1416
01:15:24,880 --> 01:15:27,200
Speaker 1: that girl. But there's plenty of those people there. But

1417
01:15:27,320 --> 01:15:29,800
Speaker 1: it's just like it's just like in theory, it could happen.

1418
01:15:29,840 --> 01:15:32,240
Speaker 1: That's I mean, they have those wipes there that are

1419
01:15:32,280 --> 01:15:35,200
Speaker 1: disinfected wipes, and you really should just wipe it down

1420
01:15:35,240 --> 01:15:38,040
Speaker 1: because you can get other you could get like MRSA

1421
01:15:38,120 --> 01:15:42,040
Speaker 1: infections and stuff like from people in situations like that,

1422
01:15:42,200 --> 01:15:45,240
Speaker 1: So it's always good to just wipe stuff down before

1423
01:15:45,240 --> 01:15:48,160
Speaker 1: you touch it anyway. Yeah, Like I think that general

1424
01:15:48,320 --> 01:15:51,960
Speaker 1: rule is you're supposed to wipe the machine down after

1425
01:15:52,120 --> 01:15:54,080
Speaker 1: you use it and sweat all over it. But you

1426
01:15:54,160 --> 01:15:56,639
Speaker 1: know so many people are not doing that, So maybe

1427
01:15:56,640 --> 01:15:59,840
Speaker 1: everybody just needs to get into the mindset of before

1428
01:16:00,000 --> 01:16:02,000
Speaker 1: if I sit down on it, I'm going to wipe it

1429
01:16:02,040 --> 01:16:03,920
Speaker 1: down first and then go from that. Yeah. I mean,

1430
01:16:03,960 --> 01:16:06,320
Speaker 1: if this guy who made the TikTok wasn't lying and

1431
01:16:06,360 --> 01:16:09,200
Speaker 1: he didn't have any sexual contact with someone, then it's

1432
01:16:09,280 --> 01:16:13,880
Speaker 1: completely possible. And that's why I mean that doctor probably

1433
01:16:13,920 --> 01:16:16,400
Speaker 1: literally references paper that said that you can get I

1434
01:16:16,560 --> 01:16:19,479
Speaker 1: chlamydia from a non poorous service. That's that's where he

1435
01:16:19,520 --> 01:16:22,880
Speaker 1: got that information. If the guy because I actually know

1436
01:16:23,000 --> 01:16:25,280
Speaker 1: somebody that that happened to, by the way, it was

1437
01:16:26,800 --> 01:16:30,360
Speaker 1: a friend of mine, God in her eye actually from seamen.

1438
01:16:30,520 --> 01:16:33,760
Speaker 1: But like I mean, if this guy that she was

1439
01:16:33,800 --> 01:16:35,920
Speaker 1: in the act, she was in the act. Like, but

1440
01:16:36,160 --> 01:16:39,080
Speaker 1: this TikTok dude, like if he didn't have sex like

1441
01:16:39,120 --> 01:16:41,160
Speaker 1: that and he's being honest, then like, yeah, that's how

1442
01:16:41,200 --> 01:16:46,400
Speaker 1: he got it disgusting. Okay, other death news, all right,

1443
01:16:46,439 --> 01:16:49,760
Speaker 1: we have lots of TikTok stories today. So this chick

1444
01:16:49,800 --> 01:16:52,519
Speaker 1: went on TikTok and was explaining how her twin sister

1445
01:16:52,640 --> 01:16:56,240
Speaker 1: died five years ago from viral meningitis. When it came

1446
01:16:56,320 --> 01:16:58,720
Speaker 1: time to let their family know, the father thought that

1447
01:16:58,800 --> 01:17:01,880
Speaker 1: her ninety year old grandparent and some distant relatives just

1448
01:17:01,920 --> 01:17:05,200
Speaker 1: could not handle the information, so he had her pretend

1449
01:17:05,280 --> 01:17:07,559
Speaker 1: to be the dead twin for the last five years.

1450
01:17:07,960 --> 01:17:11,639
Speaker 1: Shit is so outrageous. It's outrageous. And what's even worse

1451
01:17:11,760 --> 01:17:14,840
Speaker 1: is that recently the grandma was on the deathbed and

1452
01:17:14,880 --> 01:17:17,400
Speaker 1: then she finally told her and I'm like, why would

1453
01:17:17,400 --> 01:17:20,719
Speaker 1: you burden her with the information right before she died?

1454
01:17:20,840 --> 01:17:23,080
Speaker 1: But she didn't want to be burdened with the lie anymore.

1455
01:17:23,160 --> 01:17:26,760
Speaker 1: So like that's a a typical millennial thing to do.

1456
01:17:26,800 --> 01:17:30,879
Speaker 1: It's just they're still get you. There's still out okay, boomer,

1457
01:17:31,200 --> 01:17:35,160
Speaker 1: So they're still lying to the grandpop though, but they

1458
01:17:35,200 --> 01:17:40,000
Speaker 1: have told other distant relatives at this point and they're pissed, Yeah,

1459
01:17:40,120 --> 01:17:43,880
Speaker 1: what was she doing some like like you know all

1460
01:17:43,920 --> 01:17:46,360
Speaker 1: these shows that they have, like the Parent Trap and

1461
01:17:46,400 --> 01:17:49,519
Speaker 1: the liv and Maddie Show where it's like one actress

1462
01:17:49,560 --> 01:17:52,360
Speaker 1: playing a twin. You could see how they do that

1463
01:17:52,479 --> 01:17:54,400
Speaker 1: on a split screen, Like, how are you doing that

1464
01:17:54,439 --> 01:17:56,680
Speaker 1: in real life? Was she bringing two outfits and going

1465
01:17:56,720 --> 01:17:59,040
Speaker 1: in the bathroom and like changing and they know, I've

1466
01:17:59,080 --> 01:18:02,439
Speaker 1: never seen together. I don't think they live near this

1467
01:18:02,560 --> 01:18:04,400
Speaker 1: family at all, so I don't think they were like

1468
01:18:04,479 --> 01:18:07,240
Speaker 1: seeing each other. They were just talking over like FaceTime

1469
01:18:07,400 --> 01:18:11,000
Speaker 1: or the phone. Yeah, well, so it's obviously easier when

1470
01:18:11,000 --> 01:18:14,000
Speaker 1: you're doing that, but the lady was in her nineties

1471
01:18:14,080 --> 01:18:19,000
Speaker 1: or something. She was like, I mean, I understand from

1472
01:18:19,040 --> 01:18:22,200
Speaker 1: the Sun's perspective that he doesn't want to upset his

1473
01:18:22,280 --> 01:18:27,160
Speaker 1: mom because she's so fragile and old. But like, I

1474
01:18:27,200 --> 01:18:31,000
Speaker 1: think it's crazier that the that the sister lost her sister,

1475
01:18:31,080 --> 01:18:33,840
Speaker 1: which is which is terribly upsetting, and then had to

1476
01:18:34,000 --> 01:18:37,280
Speaker 1: play along with this for her dad. Like the whole

1477
01:18:37,280 --> 01:18:39,160
Speaker 1: thing is weird. How do you how do you just

1478
01:18:39,200 --> 01:18:41,400
Speaker 1: like act normal and pretend to be a person that

1479
01:18:41,479 --> 01:18:43,640
Speaker 1: died without getting upset? You know what I mean? Like

1480
01:18:43,680 --> 01:18:48,200
Speaker 1: it it is, it's just very unusual situation. I don't know.

1481
01:18:48,320 --> 01:18:51,479
Speaker 1: And like some people in the comments were sympathetic to it.

1482
01:18:51,520 --> 01:18:55,200
Speaker 1: And said they understood and they would do the same

1483
01:18:55,280 --> 01:18:57,840
Speaker 1: thing to you know, not upset other people. And then

1484
01:18:57,880 --> 01:18:59,760
Speaker 1: a lot of people were like, what is wrong with you?

1485
01:19:00,000 --> 01:19:03,320
Speaker 1: It's weird, and it is it is weird. Well, it's

1486
01:19:03,360 --> 01:19:05,679
Speaker 1: weird too because if you think about it, like cause,

1487
01:19:06,160 --> 01:19:09,040
Speaker 1: like I always talk about how just the younger you

1488
01:19:09,040 --> 01:19:12,200
Speaker 1: people get, the softer and you can't handle anything. Right,

1489
01:19:12,560 --> 01:19:15,920
Speaker 1: But like this lady's ninety some years old, right, she's

1490
01:19:16,040 --> 01:19:19,679
Speaker 1: lived through like some shit. She's probably mad because she's

1491
01:19:19,760 --> 01:19:22,840
Speaker 1: just like you, honestly think I couldn't handle that like

1492
01:19:23,000 --> 01:19:25,720
Speaker 1: I've handled Think about what a person that's in their

1493
01:19:25,800 --> 01:19:28,240
Speaker 1: nineties has dealt with in their life, you know what

1494
01:19:28,320 --> 01:19:32,400
Speaker 1: I mean, Like, don't don't try to tiptoe around my feelings.

1495
01:19:32,439 --> 01:19:35,120
Speaker 1: I could handle anything. Plus, when you're in your nineties,

1496
01:19:35,160 --> 01:19:38,360
Speaker 1: like every single person that you know has died, your parents,

1497
01:19:38,400 --> 01:19:41,559
Speaker 1: your siblings, your friends. Like the older you get, the

1498
01:19:41,560 --> 01:19:44,160
Speaker 1: more death you say that you can handle. Like It's

1499
01:19:44,240 --> 01:19:47,280
Speaker 1: just it's kind of insulting to the mom to think

1500
01:19:47,320 --> 01:19:49,080
Speaker 1: that she wouldn't have been able to handle it at

1501
01:19:49,120 --> 01:19:52,080
Speaker 1: her age, you know, it's insulting, and now she's gonna

1502
01:19:52,120 --> 01:19:56,280
Speaker 1: die knowing that a the granddaughter died and be her

1503
01:19:56,520 --> 01:19:59,880
Speaker 1: loved ones are hiding this information from her, which is

1504
01:20:00,080 --> 01:20:04,040
Speaker 1: kind of unsettling. Yeah, it's just like telling your husband, Oh,

1505
01:20:04,360 --> 01:20:06,320
Speaker 1: I know we've been married for fifty years, but one

1506
01:20:06,360 --> 01:20:08,200
Speaker 1: of your kids is in yours or something like. You

1507
01:20:08,200 --> 01:20:10,840
Speaker 1: don't tell somebody something. Yeah, it's to get it off

1508
01:20:10,880 --> 01:20:14,040
Speaker 1: your chest. It's not for them, you know. Well, I

1509
01:20:14,080 --> 01:20:16,800
Speaker 1: don't know. I just I just can't agree with it now,

1510
01:20:16,920 --> 01:20:19,280
Speaker 1: me neither. All right, let's move on to Questions of

1511
01:20:19,360 --> 01:20:21,559
Speaker 1: the Day. Every Friday on the at mother nos Death

1512
01:20:21,600 --> 01:20:23,960
Speaker 1: Instagram account, you guys can head over to our story

1513
01:20:24,000 --> 01:20:27,519
Speaker 1: and ask whatever questions you want first. With what you

1514
01:20:27,560 --> 01:20:30,040
Speaker 1: see in your career, has it made you more worrisome

1515
01:20:30,080 --> 01:20:36,080
Speaker 1: as a mother? Yes? What examples? I have too many examples.

1516
01:20:36,120 --> 01:20:38,080
Speaker 1: I'm just worried all the time anytime. I mean, I'm

1517
01:20:38,120 --> 01:20:41,920
Speaker 1: sure you heard every on today's episode Vicious Dogs marijuana,

1518
01:20:44,000 --> 01:20:49,040
Speaker 1: it's listed social media erratic behavior. Yes, this episode, I

1519
01:20:49,040 --> 01:20:53,120
Speaker 1: feel like really surmises all. There's plenty more, trust me,

1520
01:20:53,240 --> 01:20:55,960
Speaker 1: lots of lots of medical stuff too. You know. It's

1521
01:20:56,000 --> 01:20:59,439
Speaker 1: just like well Lillian said to me this morning, She's like,

1522
01:20:59,520 --> 01:21:02,040
Speaker 1: I as a pain in my head, right, here, and

1523
01:21:02,080 --> 01:21:03,760
Speaker 1: I'm just like, oh my god, you know, like I

1524
01:21:04,160 --> 01:21:06,160
Speaker 1: go through like what could that be? Because she's complained

1525
01:21:06,160 --> 01:21:08,880
Speaker 1: about it for the past two days. Yeah, but you

1526
01:21:09,080 --> 01:21:12,160
Speaker 1: also are so reactive when they tell you something's wrong

1527
01:21:12,200 --> 01:21:14,000
Speaker 1: with them that I feel like they just do it

1528
01:21:14,080 --> 01:21:17,400
Speaker 1: for anything, Like she's always like my fingertip hurts, and

1529
01:21:17,439 --> 01:21:20,080
Speaker 1: I'm like, okay, but I don't get nervous about that.

1530
01:21:20,160 --> 01:21:22,840
Speaker 1: I get nervous about like anything in the head and

1531
01:21:22,920 --> 01:21:26,479
Speaker 1: body situation. But yeah, like I like it's typical and

1532
01:21:26,720 --> 01:21:29,439
Speaker 1: normal for me to just be like, where is that

1533
01:21:29,560 --> 01:21:33,439
Speaker 1: anatomically located? Let me go through the differential diagnosis of

1534
01:21:33,479 --> 01:21:35,479
Speaker 1: a child in her age, like what could that be?

1535
01:21:35,720 --> 01:21:38,960
Speaker 1: And like obviously, you know, I go through that, and

1536
01:21:39,000 --> 01:21:41,160
Speaker 1: then I'm just like, it's it's probably she's stuffed up,

1537
01:21:41,200 --> 01:21:43,559
Speaker 1: it's probably your sinus is whatever, like I do that stuff.

1538
01:21:43,600 --> 01:21:46,960
Speaker 1: But yeah, I mean it's how could I not Like

1539
01:21:47,000 --> 01:21:50,240
Speaker 1: it's just and I always go to the worst thing

1540
01:21:50,280 --> 01:21:53,519
Speaker 1: because that's just like I always see the worst of

1541
01:21:53,560 --> 01:21:56,080
Speaker 1: the worst. So yeah, that's why we call you doctor

1542
01:21:56,120 --> 01:21:59,519
Speaker 1: Death in our family, all right too. Will there be

1543
01:21:59,560 --> 01:22:04,640
Speaker 1: more external exam episodes? Yeah, there there will be. We

1544
01:22:04,840 --> 01:22:07,960
Speaker 1: just we're going to do those more on days that

1545
01:22:07,960 --> 01:22:09,960
Speaker 1: that we're going to be off and stuff, just because

1546
01:22:10,000 --> 01:22:12,840
Speaker 1: we find that we've had so many news stories that

1547
01:22:12,880 --> 01:22:15,360
Speaker 1: we're cutting a lot of stories and we want to cover.

1548
01:22:15,920 --> 01:22:18,479
Speaker 1: I mean, honestly, we still cover. We have enough to

1549
01:22:18,479 --> 01:22:21,400
Speaker 1: do an episode every day, which just isn't happening at

1550
01:22:21,400 --> 01:22:25,200
Speaker 1: this time. But you know, we want we we do

1551
01:22:25,280 --> 01:22:30,280
Speaker 1: want to do other external exam episodes too, so that

1552
01:22:30,320 --> 01:22:34,240
Speaker 1: will happen in the future, just whenever. It's not going

1553
01:22:34,320 --> 01:22:37,759
Speaker 1: to be like on a schedule, all right. Last favorite

1554
01:22:37,800 --> 01:22:42,120
Speaker 1: holiday suite and favorite holiday dish. Some of these questions

1555
01:22:42,120 --> 01:22:44,320
Speaker 1: that you guys submitted for the Christmas Q and A

1556
01:22:44,520 --> 01:22:47,840
Speaker 1: I moved up that were to because that's not going

1557
01:22:47,920 --> 01:22:49,960
Speaker 1: to come out till after Christmas, So one day answer

1558
01:22:50,040 --> 01:22:52,920
Speaker 1: some of your questions. Okay, Christmas related questions, but this

1559
01:22:53,120 --> 01:22:57,760
Speaker 1: was submitted for our Winter Q and A. Sweets, your

1560
01:22:57,800 --> 01:23:03,800
Speaker 1: favorite holiday suite and your favorite holiday they dish like

1561
01:23:03,880 --> 01:23:08,080
Speaker 1: Christmas cookies, I guess I would say, yeah, the rocatto

1562
01:23:08,120 --> 01:23:11,519
Speaker 1: ones and petzels and stuff like that. A lot of them.

1563
01:23:11,640 --> 01:23:14,200
Speaker 1: I can't eat ones that other people make, so I

1564
01:23:14,240 --> 01:23:17,200
Speaker 1: have to make them myself with gluten frey. But they

1565
01:23:17,280 --> 01:23:21,160
Speaker 1: taste just as good gluten free. I think the Yeah,

1566
01:23:21,200 --> 01:23:23,759
Speaker 1: the ricotta cheese cookies, they're like one of my favorites.

1567
01:23:23,800 --> 01:23:26,519
Speaker 1: I'm gonna actually make them this weekend because I need

1568
01:23:26,520 --> 01:23:29,479
Speaker 1: to taste that flavor is very specific to Christmas time.

1569
01:23:29,760 --> 01:23:31,960
Speaker 1: I'm making them this weekend too. I was gonna make

1570
01:23:31,960 --> 01:23:33,720
Speaker 1: you a bucks, all right, Well, then just do that

1571
01:23:33,760 --> 01:23:38,160
Speaker 1: and then I won't do it save me sometime. Yeah,

1572
01:23:38,200 --> 01:23:43,599
Speaker 1: so Christmas cookies for sure, and dish, I don't know,

1573
01:23:44,320 --> 01:23:46,439
Speaker 1: I don't really like, well, we just went to the

1574
01:23:46,439 --> 01:23:49,240
Speaker 1: party this weekend. Jen made that. Our cousin Jen made

1575
01:23:49,280 --> 01:23:52,280
Speaker 1: that really good thing. I don't even know what it is.

1576
01:23:53,040 --> 01:23:55,360
Speaker 1: She's gluten free too, though, so it makes it easier.

1577
01:23:55,400 --> 01:23:58,080
Speaker 1: But she makes it every year and you're I'm going

1578
01:23:58,160 --> 01:23:59,920
Speaker 1: to talk and describe it to you, and you're gonna

1579
01:24:00,280 --> 01:24:05,000
Speaker 1: like it's so weird. But it's like this log of

1580
01:24:05,080 --> 01:24:09,040
Speaker 1: like was sabi that's covered in cream, cheese or something

1581
01:24:09,760 --> 01:24:12,840
Speaker 1: that sounds good, and then it's on a plate and

1582
01:24:12,880 --> 01:24:15,599
Speaker 1: then she like pours soy sauce on it and like

1583
01:24:16,479 --> 01:24:19,600
Speaker 1: green onions and then you eat it. You get like

1584
01:24:19,640 --> 01:24:22,519
Speaker 1: a rice cracker and like just dip into it and

1585
01:24:22,560 --> 01:24:25,120
Speaker 1: eat it. And it like, you know, it clears your

1586
01:24:25,160 --> 01:24:27,439
Speaker 1: sinuses out because you just have this like big whiff

1587
01:24:27,479 --> 01:24:30,360
Speaker 1: of wasabi. I don't know how she makes it, like

1588
01:24:30,400 --> 01:24:32,439
Speaker 1: if there's anything else mixed in it. That's just what

1589
01:24:32,520 --> 01:24:36,800
Speaker 1: I'm gathering it is just based on looking at it.

1590
01:24:36,800 --> 01:24:38,960
Speaker 1: It sounds so weird at a Christmas party, right, but

1591
01:24:39,040 --> 01:24:41,160
Speaker 1: like she she only makes it at the Christmas party,

1592
01:24:41,160 --> 01:24:44,160
Speaker 1: and that's like one of my favorite things. I probably

1593
01:24:44,360 --> 01:24:47,360
Speaker 1: ate half of it at the party the other day.

1594
01:24:48,800 --> 01:24:52,200
Speaker 1: What else? What about you? My favorite holiday suite is

1595
01:24:52,240 --> 01:24:56,120
Speaker 1: definitely cookies. My two favorite Christmas cookies are just classic

1596
01:24:56,200 --> 01:25:00,800
Speaker 1: butter cookies with like sprinkles on them and chalk peppermint.

1597
01:25:00,800 --> 01:25:04,519
Speaker 1: I make chocolate cookies with peppermint Hershey kisses, and those

1598
01:25:04,560 --> 01:25:08,879
Speaker 1: are my favorite, absolute favorite Christmas cookie. My favorite holiday

1599
01:25:08,880 --> 01:25:13,200
Speaker 1: dish I'm gonna say is Mom'sklonkies stuffed cabbage with ground

1600
01:25:13,240 --> 01:25:16,559
Speaker 1: beef and rice and tomato, and it's delicious. Yeah, those

1601
01:25:16,600 --> 01:25:19,160
Speaker 1: are good too, but she makes those other times a year.

1602
01:25:19,200 --> 01:25:22,200
Speaker 1: Two they don't really remind me of Christmas necessarily, but yeah,

1603
01:25:22,240 --> 01:25:26,880
Speaker 1: they're they're really good too. Yeah. I just can't think

1604
01:25:26,920 --> 01:25:28,799
Speaker 1: off the top of because there's like lots of different

1605
01:25:28,840 --> 01:25:33,479
Speaker 1: things because of the whole gluten situation. Like Aunt Evelyn

1606
01:25:33,560 --> 01:25:36,080
Speaker 1: used to make this really good like pineapple stuffing thing

1607
01:25:36,200 --> 01:25:39,320
Speaker 1: with the ham is so good, and then but I

1608
01:25:39,360 --> 01:25:42,400
Speaker 1: can't have that. And I tried to make a gluten

1609
01:25:42,400 --> 01:25:44,760
Speaker 1: free and it's okay, but it's it's not really the same.

1610
01:25:44,840 --> 01:25:47,600
Speaker 1: And like Panatoni bread, you know that, I know that

1611
01:25:47,760 --> 01:25:50,760
Speaker 1: is disgusting. No, it's so good. That's like one of

1612
01:25:50,760 --> 01:25:53,679
Speaker 1: my favorite flavors ever. And so they have a gluten

1613
01:25:53,760 --> 01:25:56,880
Speaker 1: free one. I think that brand shar you know, the

1614
01:25:56,880 --> 01:25:59,040
Speaker 1: one that makes the lea. I think they make it,

1615
01:25:59,080 --> 01:26:01,400
Speaker 1: but they never have it in stock at Wegmans and

1616
01:26:01,400 --> 01:26:03,439
Speaker 1: I want to try it, but like their stuff is

1617
01:26:03,479 --> 01:26:06,680
Speaker 1: like like I don't know how it's executed, you know

1618
01:26:06,680 --> 01:26:08,559
Speaker 1: what I mean, Like it might be really good. You

1619
01:26:08,600 --> 01:26:11,120
Speaker 1: could probably get a really good one online because they

1620
01:26:11,160 --> 01:26:13,680
Speaker 1: hold up pretty well. Yeah, I've seen them online, but

1621
01:26:13,680 --> 01:26:17,559
Speaker 1: they're like seventy dollars. Yeah, Panatoni is expensive to make.

1622
01:26:18,360 --> 01:26:20,080
Speaker 1: I mean when you get them at the store, they're

1623
01:26:20,120 --> 01:26:23,559
Speaker 1: like mass manufactured. When you get really good homemade ones,

1624
01:26:23,800 --> 01:26:27,479
Speaker 1: they're expensive to make. Remember, I don't mind spending seventy

1625
01:26:27,520 --> 01:26:31,320
Speaker 1: dollars on a piece of bread. Well, I do, but

1626
01:26:31,320 --> 01:26:33,760
Speaker 1: but like that's a risk. If I know that it

1627
01:26:33,800 --> 01:26:36,640
Speaker 1: tastes delicious, then then you know, the best bread is

1628
01:26:36,640 --> 01:26:38,720
Speaker 1: worth all the money in the world. But like I

1629
01:26:39,040 --> 01:26:40,920
Speaker 1: do to take a risk, Like what if it tastes

1630
01:26:40,920 --> 01:26:43,360
Speaker 1: like cardboard, I'd be like, oh cool. You know what

1631
01:26:43,439 --> 01:26:46,240
Speaker 1: other appetizer I like that you can really have all year,

1632
01:26:46,280 --> 01:26:48,680
Speaker 1: but I only try to have it Christmas because I

1633
01:26:48,680 --> 01:26:50,400
Speaker 1: would eat it all the time, and it's like so

1634
01:26:50,479 --> 01:26:52,640
Speaker 1: high calorie. Is when you get like a block of

1635
01:26:52,680 --> 01:26:55,120
Speaker 1: cream cheese with the red pepper jelly. Oh yeah, you

1636
01:26:55,120 --> 01:26:56,960
Speaker 1: should get that on Christmas Eve. I am good at

1637
01:26:57,000 --> 01:27:00,120
Speaker 1: I do it because I like that one too. It

1638
01:27:00,200 --> 01:27:04,000
Speaker 1: is so delicious. I'm gonna try to make sour dough

1639
01:27:04,040 --> 01:27:06,280
Speaker 1: as well, but hopefully it won't be the epic failure

1640
01:27:06,280 --> 01:27:08,639
Speaker 1: that my Thanksgiving sour dough was. I tried to make

1641
01:27:08,680 --> 01:27:11,000
Speaker 1: one of those like turkey shaped ones, and it just

1642
01:27:11,040 --> 01:27:15,559
Speaker 1: looked so bad. It was so ridiculous looking. But whatever.

1643
01:27:16,160 --> 01:27:18,680
Speaker 1: But yeah, I'm looking forward to the Christmas meals. I

1644
01:27:18,800 --> 01:27:21,519
Speaker 1: just like eating a lot of Christmas cookies. And I

1645
01:27:21,520 --> 01:27:24,160
Speaker 1: can't believe neither of us mentioned Christmas coffees. I think

1646
01:27:24,200 --> 01:27:26,719
Speaker 1: that those could be considered a holidays. Oh yeah, anything

1647
01:27:27,040 --> 01:27:29,360
Speaker 1: like if you just put you could just use like

1648
01:27:29,400 --> 01:27:32,400
Speaker 1: eggnog in your in your coffee instead of creamer. It's

1649
01:27:32,439 --> 01:27:35,800
Speaker 1: so good that. And I had a white it's so

1650
01:27:35,800 --> 01:27:38,720
Speaker 1: so like bad for you. Oh it's so horrible, but

1651
01:27:38,720 --> 01:27:40,960
Speaker 1: it's so delicious. I had a white pepper Ma milka

1652
01:27:41,000 --> 01:27:44,120
Speaker 1: the other day too, that was truly heavenly. Yeah. I've

1653
01:27:44,120 --> 01:27:47,320
Speaker 1: been trying to stay away from those Starbucks strengths because

1654
01:27:47,360 --> 01:27:50,800
Speaker 1: they're just like, they're like so many calories. I just can't.

1655
01:27:50,880 --> 01:27:52,479
Speaker 1: I mean once in a while, like when you go

1656
01:27:52,560 --> 01:27:56,840
Speaker 1: Christmas shopping and stuff. But I love I love them too.

1657
01:27:56,880 --> 01:27:59,040
Speaker 1: They have that. I did try that one that was

1658
01:27:59,120 --> 01:28:03,800
Speaker 1: like a macha like cookie flavor or something. I don't know.

1659
01:28:03,840 --> 01:28:07,720
Speaker 1: It's really good. That does sound good. All right, guys, Well,

1660
01:28:07,760 --> 01:28:09,640
Speaker 1: we will see you later in the week with our

1661
01:28:09,720 --> 01:28:12,640
Speaker 1: Christmas special, And don't forget to submit your review or

1662
01:28:12,640 --> 01:28:15,479
Speaker 1: a screenshot of your YouTube subscription to win a copy

1663
01:28:15,520 --> 01:28:19,639
Speaker 1: of Nicole and Jimmy's Anatomy book. Say you on Thursday.

1664
01:28:22,200 --> 01:28:26,040
Speaker 2: Thank you for listening to Mother nos Death. As a reminder,

1665
01:28:26,240 --> 01:28:30,040
Speaker 2: my training is as a pathologists assistant. I have a

1666
01:28:30,040 --> 01:28:34,400
Speaker 2: master's level education and specialize in anatomy and pathology education.

1667
01:28:35,520 --> 01:28:37,720
Speaker 2: I am not a doctor and I have not diagnosed

1668
01:28:37,800 --> 01:28:41,439
Speaker 2: or treated anyone dead or alive without the assistance of

1669
01:28:41,479 --> 01:28:46,679
Speaker 2: a licensed medical doctor. This show, my website, and social

1670
01:28:46,720 --> 01:28:50,240
Speaker 2: media accounts are designed to educate and inform people based

1671
01:28:50,280 --> 01:28:54,200
Speaker 2: on my experience working in pathology, so they can make

1672
01:28:54,400 --> 01:28:59,080
Speaker 2: healthier decisions regarding their life and well being. Always remember

1673
01:28:59,080 --> 01:29:02,200
Speaker 2: that science is changed every day and the opinions expressed

1674
01:29:02,240 --> 01:29:04,880
Speaker 2: in this episode are based on my knowledge of those

1675
01:29:04,920 --> 01:29:08,719
Speaker 2: subjects at the time of publication. If you are having

1676
01:29:08,760 --> 01:29:12,720
Speaker 2: a medical problem, have a medical question, or having a

1677
01:29:12,760 --> 01:29:17,080
Speaker 2: medical emergency, please contact your physician or visit an urgent

1678
01:29:17,120 --> 01:29:19,240
Speaker 2: care center, emergency room.

1679
01:29:19,280 --> 01:29:20,040
Speaker 1: Or hospital.

1680
01:29:20,720 --> 01:29:26,360
Speaker 2: Please rate, review, and subscribe to Mother Knows Death on Apple, Spotify, YouTube,

1681
01:29:26,640 --> 01:29:29,160
Speaker 2: or anywhere you get podcasts. Thanks