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Speaker 1: Mother Knows Death starring Nicole and Jemmy and Maria qk. Hi. Everyone,

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Speaker 1: welcome to Mother Knows Death.

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Speaker 2: Hi Daughter, Hello mother.

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Speaker 1: We really have some great stories to share. So do

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Speaker 1: you want to get into our story of the week.

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Speaker 3: Yeah. Our first story, well, our biggest story of the

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Speaker 3: week is that the NHL player Adam Johnson that we

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Speaker 3: had reported on in our very first episode, his unfortunate death,

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Speaker 3: someone has been arrested. They have not specifically said who's arrested.

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Speaker 3: I can only think it's the other player involved in

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Speaker 3: the accident, right.

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Speaker 1: Who else would it be? It doesn't even make it

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Speaker 1: exactly exactly.

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Speaker 3: It's very weird because every article you read about this says,

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Speaker 3: quote a man has been arrested. It has to be

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Speaker 3: the other player this quote unquote man has been released

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Speaker 3: on bail already as of today. So this is really

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Speaker 3: interesting because we really dove into why. At least I

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Speaker 3: thought it was definitely an accident, and it's kind of

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Speaker 3: crazy that somebody's been arrested in this case. So this

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Speaker 3: is really interesting to see play out.

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Speaker 1: Well, I've really been thinking about this since this happened,

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Speaker 1: and I don't really agree with you that I think

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Speaker 1: that it's that crazy that they're investigating it because there's

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Speaker 1: there's a bunch of professional hockey players that are saying

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Speaker 1: that the moves that he made were unconventional. And I

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Speaker 1: was listening to this guy last night who was a

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Speaker 1: former NHL player, who was saying that from the time

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Speaker 1: they learned how to ice skate to play ice hockey,

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Speaker 1: they learn like how to land and where to put

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Speaker 1: their legs, and there's certain moves. So as a professional

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Speaker 1: NHL player, they look at that and say, no, no way,

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Speaker 1: that's that's what he meant to do. Whereas like you

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Speaker 1: and I are just watching and we say, have you

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Speaker 1: ever gone ice skating? Like I it's like such a

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Speaker 1: shit show. I slide all over the place. I can't

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Speaker 1: stand up straight. But these people are professionals and they

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Speaker 1: know what they're doing. So the fact that there's multiple

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Speaker 1: people saying like that something doesn't look right, I think

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Speaker 1: that's that's something that we should we should listen to

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Speaker 1: the craziess sorry, go ahead, No.

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Speaker 3: I was just gonna say, this is one of those

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Speaker 3: stories where to me, it was really cut and dry.

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Speaker 3: This was an accident. I don't think he went on

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Speaker 3: the ice intentionally. Being like I'm gonna slit some guy's

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Speaker 3: throat today. But now that you're saying that he's doing

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Speaker 3: some kind of unconventional moves, I still think there's a

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Speaker 3: world in which it was an accident. But he set

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Speaker 3: himself up really poorly by doing an illegal move in hockey.

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Speaker 1: Also, another thing is is that apparently this guy has

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Speaker 1: a lot of penalties for aggression already, so it I

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Speaker 1: definitely don't think that he woke up and was like,

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Speaker 1: I'm going to kill this person, but I think that

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Speaker 1: he I think that it's a possibility that he just

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Speaker 1: kind of went from like zero to ten road rage,

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Speaker 1: so to speak, and just did something that he really

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Speaker 1: didn't maybe mean to do, but he he did do it.

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Speaker 1: And the craziest part of this story is that a

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Speaker 1: day before he got arrested for this, well we don't

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Speaker 1: know if it's him, we're saying allegedly it's him that

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Speaker 1: got arrested. They started playing again after that accident or murder,

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Speaker 1: whatever you want to call it, and he got a

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Speaker 1: standing ovation from the crowd. So it seems like the crowd,

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Speaker 1: most people in the crowd have determined that it was

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Speaker 1: an accident, so that it's so I thought that that

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Speaker 1: was pretty interesting.

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Speaker 3: Right, yeah, And I mean manslaughter the charge itself kind

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Speaker 3: of implies accidental. It's just cause of death of another

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Speaker 3: due to recklessness, so that definitely could be seen in

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Speaker 3: this case. It is really rare that these players actually

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Speaker 3: get charged. There's a couple cases in the past, and

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Speaker 3: nineteen ninety two an Italian player had slashed another player

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Speaker 3: in the chest who had then subsequently died from an

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Speaker 3: injury due to that, and then in two thousand another

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Speaker 3: player had been charged with weaponizing his stick and assaulting

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Speaker 3: another player, which resulted in serious injuries. So I do

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Speaker 3: think it's really fascinating to see how this is notoriously

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Speaker 3: a really aggressive sport and they're allowed to fight and

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Speaker 3: get away with a lot. So how if you kind

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Speaker 3: of slip through the cracks into your own vicious move,

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Speaker 3: how it could result really badly for some people.

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Speaker 1: Okay, let's get into some celebrity news.

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Speaker 3: So our first celebrity story today is another sports related death,

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Speaker 3: which is really sad. Former Bronco Matt Ulrich had suddenly

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Speaker 3: died at age forty one. The exact cause of death

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Speaker 3: has not been released, but a really interesting fact that

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Speaker 3: came out was that part of his brain had been

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Speaker 3: donated to CTE research. So do you want to kind

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Speaker 3: of explain what ct is and why won't why don't

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Speaker 3: they know if he has this right now?

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Speaker 1: So first, I wanted to start off this entire celebrity

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Speaker 1: section by saying that there has been a couple celebrity

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Speaker 1: deaths this week, and there's been well we're going to

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Speaker 1: cover four of them, and all of the people are young,

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Speaker 1: and they basically didn't tell us why any of them died.

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Speaker 1: So we'll talk about this first guy, Matt Ulrich. So

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Speaker 1: if they are donating his brain to CTE research, that's

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Speaker 1: really interesting. So that stands for chronic traumatic encephalopathy, and

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Speaker 1: that occurs when you have when you're playing like a

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Speaker 1: contact sport where you have multiple blows to the head.

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Speaker 1: It could happen in boxing, it happens in football. We

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Speaker 1: know of cases of it happening, and really the only

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Speaker 1: way to truly diagnose it, unfortunately, is that author and

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Speaker 1: I'm not exactly sure what symptoms this guy was having.

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Speaker 1: His wife did put out a statement and it didn't

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Speaker 1: seem like I mean, it seemed like she was upset obviously,

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Speaker 1: but it wasn't this shock. In my opinion, the statement

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Speaker 1: didn't seem like, you know how when they put out statements,

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Speaker 1: they they're just completely shocked, like Matthew Perry, like nobody

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Speaker 1: was kind of expecting it. They just seemed like they

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Speaker 1: were very shocked by the news this one.

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Speaker 3: Yeah, I mean, I could have also been the pr

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Speaker 3: person that drafted it. You know, sometimes they could come

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Speaker 3: across as not being very genuine when they're just trying

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Speaker 3: to put something out there, so it doesn't seem more suspicious.

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Speaker 1: I get that. But so that's an interesting case we're

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Speaker 1: going to keep an eye on. And then we just

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Speaker 1: heard right before we started talking today that there was

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Speaker 1: another former NHL player dead. Also he's only thirty five. So,

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Speaker 1: Matt Ulrich, I don't know if you did you say

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Speaker 1: he was only forty one.

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Speaker 3: Yeah, he is forty one. And then this player that

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Speaker 3: was just breaking this morning was only thirty five. He

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Speaker 3: had done a short stint with the Chiefs and his

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Speaker 3: cause of death is unknown at the moment. This is

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Speaker 3: a really popularized topic as of late. We've had movies

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Speaker 3: come out about the doctor who really pushed for the

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Speaker 3: research into it. We know the case of Crisp bin Wah,

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Speaker 3: the wrestler, and Aaron Hernandez, who was a football player

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Speaker 3: that he kind of, in my opinion, is the most

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Speaker 3: famous case of CTE because they actually took scans of

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Speaker 3: his brain and we're looking at for that. And then

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Speaker 3: Jason Kelcey recently just had his documentary come out, and

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Speaker 3: I was surprised how open he was that he was

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Speaker 3: really facing this hard decision of continuing his career because

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Speaker 3: all he ever knew was football versus leaving so that

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Speaker 3: he wouldn't essentially be brain dead for his family. And

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Speaker 3: I thought that was really bold of a player, because

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Speaker 3: a lot of this gets shoved under the rug. The

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Speaker 3: NFL doesn't really like discussing it, even though this is

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Speaker 3: fully a major thing. I mean, it happens in the

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Speaker 3: hockey and other contact sports as well. But I was

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Speaker 3: kind of shocked that he was so open about it

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Speaker 3: still being an active player and one of the most famous.

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Speaker 1: Right now, we think about this if you like, he

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Speaker 1: says that he's been playing football almost his entire life.

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Speaker 1: The increase of CTE occurs when you get multiple concussions. Well,

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Speaker 1: what are the chances that if he's been playing since

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Speaker 1: grade school that he's had more than one concussion. It's

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Speaker 1: pretty damn high, right, and it's scary if you they

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Speaker 1: can't fix it right now, So it is. It should

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Speaker 1: be a concern to all of them. Really, it really

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Speaker 1: should be talked about more. But I feel like the

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Speaker 1: NFL kind of is just obviously doesn't want to put

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Speaker 1: a big thing on it because they don't want their

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Speaker 1: players being scared to play because they're going to start

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Speaker 1: going nuts when they get older. You know.

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Speaker 3: Well remember last year too, we saw that really scary

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Speaker 3: incident with that player on the Miami Dolphins on TV.

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Speaker 3: They were showing his fingers crinkling. He was clearly struggling

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Speaker 3: on the field, and that was really scary for me

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Speaker 3: to see. It just looked incredibly painful. And then he

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Speaker 3: does a press conference pretty much immediately after saying the

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Speaker 3: doctors don't think cts of any concern, And I was

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Speaker 3: I wasn't surprised to see people freaking out on the

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Speaker 3: internet about being outraged about that. I mean, how could

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Speaker 3: you even say that to any of these players?

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Speaker 1: Yeah, and of course they just they just use these

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Speaker 1: guys because they don't have to be them when they're older,

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Speaker 1: so they just tell you whatever and there's no reprecautions.

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Speaker 1: What about the new creative director of Machino, Like what

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Speaker 1: happened there?

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Speaker 3: So David day Round just became the creative director of

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Speaker 3: Mosquino only nine days before his death. Before that, he

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Speaker 3: was the head of women's wear for Gucci for I

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Speaker 3: believe a couple decades. So they don't really know what happened.

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Speaker 3: They're saying he had a quote sudden illness that was

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Speaker 3: followed by a heart attack. But you kind of talk

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Speaker 3: about a lot how people use cardiac arrest as a

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Speaker 3: blanket term well to describe how somebody died when.

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Speaker 1: Different than a heart attack. So okay, did they actually

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Speaker 1: said heart attack or did they say cardiac arrests? Because

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Speaker 1: the New York Times reported heart attack, but in other

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Speaker 1: articles they said a cardiac event, So okay, so I'm

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Speaker 1: not sure if the two go together. I mean, he

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Speaker 1: was he was only forty six. Again, really young person,

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Speaker 1: not that that's unheard of for a forty six year

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Speaker 1: old to have a heart attack, But a lot of

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Speaker 1: times the news puts like cardiac arrest, which means your

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Speaker 1: heart stops, so like everyone dies from cardiac arrest, But

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Speaker 1: they just they say that, and then people hear the

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Speaker 1: word cardiac and automatically think it's a heart attack. But

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Speaker 1: a heart attack is death to the cardiac muscle due

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Speaker 1: to usually because of an occlusion in one of the

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Speaker 1: art that feeds oxygenated blood to the heart. So I

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Speaker 1: mean not to say that he couldn't have had that,

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Speaker 1: because he totally could have. But hopefully they'll come out

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Speaker 1: with more information on him as well, and we can

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Speaker 1: report back all of these next week or a week

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Speaker 1: or two, because it it's really scary. All three of

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Speaker 1: these people are my age, kind of not really your age,

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Speaker 1: even though we're kind of almost the same age, but

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Speaker 1: they're more they're more my age. But it's scary when

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Speaker 1: when people die so young, you want to know why

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Speaker 1: because because you don't want to die young, right, No.

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Speaker 3: I definitely think it's really scary, And thanks for clearing

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Speaker 3: up the difference, because in my mind is a lay person,

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Speaker 3: cardiac arrest and heart attack and cardiac evant all kind

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Speaker 3: of go hand in hand, so I didn't really understand

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Speaker 3: the difference, but yeah, it is. It is terrifying when

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Speaker 3: you hear a young person suddenly died and they don't

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Speaker 3: know why because then this kind of leads into our

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Speaker 3: next story too, which I'll start off with that I

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Speaker 3: can testant on extreme weight loss has passed away. She

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Speaker 3: was also only aged forty. Makeup artist Brandy Mallory. She

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Speaker 3: has died for again undisclosed reasons as of this recording.

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Speaker 3: She said she had gone on the show in the

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Speaker 3: first place because when she was twenty nine years old,

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Speaker 3: a sorority sister of hers had died from a heart

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Speaker 3: attack and that really scared her, and she had the

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Speaker 3: mindset of I could die any day, so she wanted

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Speaker 3: to address losing.

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Speaker 1: Weight and getting healthier. And again, we don't really know

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Speaker 1: what happened, and it's kind of scary, like what happened

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Speaker 1: to her, she was scared by an event that happened

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Speaker 1: in her life and then also fell victim to a

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Speaker 1: young death. So she was only forty years old. But

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Speaker 1: at the time when you were saying like Ree was saying,

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Speaker 1: when she was twenty nine, she had this scare and

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Speaker 1: at that time she was three hundred and twenty nine pounds,

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Speaker 1: which is really obese. She she lost a lot of

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Speaker 1: weight and changed her life and she got really into

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Speaker 1: fitness everything. But to me, I have two separate opinions

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Speaker 1: of what could have possibly happened. Number One, if she

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Speaker 1: was living her whole entire life until twenty nine years old.

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Speaker 1: Being obese, that takes a toll on your body, It

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Speaker 1: takes a toll on your heart, it takes a toll

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Speaker 1: on your liver, and you're just your whole well being.

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Speaker 1: As much as they want to try to tell you

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Speaker 1: that being obese is healthy, it's just it's just not.

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Speaker 1: And it's not about having extra weight on your body

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Speaker 1: and your arms and legs looking heavy. It's about having

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Speaker 1: visceral fat, which is fat that grows around your organs.

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Speaker 1: And if you have a lot of fat around your

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Speaker 1: heart for ten fifteen years of your life, your heart

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Speaker 1: is working extra to beat because it's so heavy, and

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Speaker 1: so that could be like she could just have effects

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Speaker 1: from the long term being overweight long term. Another thing

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Speaker 1: is that if you lose a signific amount of weight,

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Speaker 1: you could also which seems like it's kind of counter active,

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Speaker 1: but if you lose too much weight, you could get

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Speaker 1: low in nutrition, you could set yourself up for cardiac issues. Again,

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Speaker 1: so when you lose weight, you have to do it

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Speaker 1: in a very specific way and not try to do

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Speaker 1: it too fast because that could also set you up

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Speaker 1: for health issues too. And she kind of went from

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Speaker 1: one extreme to another. She was a person that didn't

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Speaker 1: work out, that was three hundred and some pounds in

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Speaker 1: overweight a majority of our adult life and went from

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Speaker 1: being like a very fit, fitness, eating well person and

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Speaker 1: that drastic contrast could be the reason why she died early.

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Speaker 3: Yeah, I'd be really interested to see what the results

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Speaker 3: say if they come out.

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Speaker 2: Again.

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Speaker 3: We always talk about how we talk about these stories

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Speaker 3: every single week and then we never get updates about them. Well,

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Speaker 3: we did get it's really a.

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Speaker 1: Hockey player, which was which was a little shocking yesterday

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Speaker 1: to hear. So you never know it.

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Speaker 3: Yeah, definitely was because if not in my if we

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Speaker 3: didn't get that update yesterday. Also, thank you everybody for

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Speaker 3: tagging us on Instagram and letting us know immediately. It's

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Speaker 3: really cool to see all you guys letting us know

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Speaker 3: and being excited to hear us. But before that news broke,

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Speaker 3: this next story was going to be the story of

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Speaker 3: the week. I was going to suggest to you because

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Speaker 3: I think this is super fascinating. So her final celebrity

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Speaker 3: story today, this huge ally Hollywood agent Sam Haskell, who

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Speaker 3: works with Dolly Parton, and of course the media has

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Speaker 3: been using a picture of the two of them together.

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Speaker 3: So poor Dolly getting grabbed.

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Speaker 1: I feel like, I feel like she always has done

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Speaker 1: so good in her life to stay away from bullshit,

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Speaker 1: But like, you don't have control over who you work with, right.

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Speaker 3: Absolutely, And according to people in the industry, this guy,

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Speaker 3: Sam Hascal, is one of the nicest guys in the industry,

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Speaker 3: So it's I don't know, I feel I still feel

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Speaker 3: bad she's being tied to it.

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Speaker 1: But he could be the nicest guy, but his son

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Speaker 1: is is a psychopath.

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Speaker 3: That's what I was gonna get at. Sam Haskell Senior,

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Speaker 3: nice guy. Sam Hascal Junior, not so much so. Sam

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Speaker 3: Haskal Junior, the son of this this guy, had called

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Speaker 3: this disposal company to come pick up what he was

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Speaker 3: saying was a bag of rocks and they were too heavy.

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Speaker 3: They oh my god, these guys, these poor poor guys,

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Speaker 3: come and pick these bags up, and the you know

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Speaker 3: what smells, this smells a little bit. They're like, it

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Speaker 3: smells and this doesn't feel like rocks, Like something isn't

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Speaker 3: quite right about this. So the guys take a peek

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Speaker 3: in the bag and are presented with a human Torso wow.

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Speaker 3: So this is like absolutely horrifying and traumatizing for these

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Speaker 3: people alone, So that I wanted to set that up

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Speaker 3: next because sometimes when people are in shock they make

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Speaker 3: weird decisions. Their weird decision was they dropped the bags

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Speaker 3: back off at his house and then gave him the

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Speaker 3: money back and then called the police, which everybody I

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Speaker 3: think could agree they should have just called the police

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Speaker 3: first and handed the bags directly over. But you have

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Speaker 3: to remember most people are in a situation like this,

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Speaker 3: and you don't know what you would do if you

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Speaker 3: were in this state of shock with something dramatizing, like

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Speaker 3: you go.

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Speaker 1: To work and you're straight up just used to the

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Speaker 1: grind of every day lifting up bags of rocks, which

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Speaker 1: is like a shitty job, right, and you've come across

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Speaker 1: this just totally not expecting it. I think that a

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Speaker 1: lot of people would just automatically be like, I don't

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Speaker 1: know what to do.

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Speaker 3: Absolutely, So they bring the bags back, they call the cops.

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Speaker 3: By the time the cops got to the house, the

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Speaker 3: bags were gone. In this timeframe, a homeless man in

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Speaker 3: Encino is going through a dumpster behind a strip mall

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Speaker 3: and uncovers the bags, So then the cops are called

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Speaker 3: there and they find them. This guy is now arrested.

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Speaker 3: It turns out he has killed. Well, he still has

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Speaker 3: to he's innocent until proven guilty technically, even though there's

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Speaker 3: surveillance video of him dumping the bags there.

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Speaker 1: But he is.

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Speaker 3: Now arrested for killing not only his wife, but both

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Speaker 3: of her parents as well.

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Speaker 1: So yeah, and they live they all live together in

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Speaker 1: the house. This is the most messed up part. Husband, wife,

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Speaker 1: her mom, and dad. And there are three kids, the

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Speaker 1: kid's grandparents, and this guy killed his wife and his

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Speaker 1: kid's grandparents.

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Speaker 3: So the only thing I've really seen was about this

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Speaker 3: bag with just the torso, which remained unidentified, so that's

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Speaker 3: not clear if it's the wife or of her mother.

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Speaker 3: I don't believe they've discovered all of the remains. Some

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Speaker 3: of them are still missing. But he has been arrested.

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Speaker 3: He's charged with three murders, and his arrangement is until

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Speaker 3: December eighth. So this is really interesting. We're definitely gonna

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Speaker 3: see this play out over probably the next couple of years,

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Speaker 3: right because just the legal process takes a while, and

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Speaker 3: it's really really unfortunate, and I hope Dolly stops getting

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Speaker 3: repped into it because she had nothing to do with it.

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Speaker 1: Just think I'm messed up. That is that. I mean,

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Speaker 1: the kid's mom is now dead, the grandparents are dead.

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Speaker 1: He's a moron. He's like a total moron. So he's

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Speaker 1: going to jail. He's caught. So what's gonna happen with

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Speaker 1: these kids? Now? Three kids?

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Speaker 3: Well, it seems like their grandpap's a nice guy according

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Speaker 3: to word of mouth, So hopefully out of this really

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Speaker 3: horrible situation. You know, they probably shouldn't have been raised

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Speaker 3: by this guy in the first place anyway, So hopefully

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Speaker 3: they'll go to the grandparents and have somewhat of a

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Speaker 3: chance of having a better quality of life. Even though

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Speaker 3: I don't know how you could get over this, even

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Speaker 3: if you were a kid when it went down.

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Speaker 1: What a dickhead. All right, let's get into freak accidents.

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Speaker 3: Okay, So our first freak accident is about a Brazilian

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Speaker 3: influencer that died after knee lepo suction, which I don't know,

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Speaker 3: if I'm being naive, I just never even thought of

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Speaker 3: getting lepo in the knee.

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Speaker 1: This is interesting to me because as soon as I

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Speaker 1: heard this, I automatically was like, I think I know

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Speaker 1: what happened, right, So she probably had like what she

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Speaker 1: would have thought were fat thighs, or she was getting

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Speaker 1: shaping of her thighs, which I understand because on the

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Speaker 1: inside of my thigh, like towards my knee, it's kind

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Speaker 1: of gross looking. So maybe I don't know, le LiPo would

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Speaker 1: fix that or something. I would never go get it

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Speaker 1: because it doesn't bother me that much. But if your models,

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Speaker 1: maybe it bothers you. I don't know. But what happens

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Speaker 1: when you do a procedure like liposuction is that it

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Speaker 1: causes a lot of trauma to the tissue and it

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Speaker 1: causes swelling. Right, So when you do procedures on the

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Speaker 1: thigh like that, you're supposed to do like one side

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Speaker 1: one day and then the other side like a couple

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Speaker 1: weeks later, when the swelling goes down, because what happens

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Speaker 1: is it swells all the way around, and then it

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Speaker 1: can compress the blood vessels that are underlying, which could

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Speaker 1: cause blood to not be able to float freely in

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Speaker 1: the leg. And what happened was they said that her

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Speaker 1: cause of death was due to a pulmonary embolism, which

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Speaker 1: means that the blood was settling in her veins in

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Speaker 1: her leg and it traveled all the way to her

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Speaker 1: heart and got stuck in her lungs, and it caused

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Speaker 1: her to have a sudden death a couple hours after

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Speaker 1: the surgery. So it completely makes sense. It's just really

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Speaker 1: sad because she was my age, twenty nine years old.

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Speaker 1: It's really sad to hear that such a young life

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Speaker 1: is taking over cosmetic procedure, especially when now we're seeing

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Speaker 1: a shift in the way people want to look. Nicki

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Speaker 1: Minaj is on the cover of Vogue this month, and

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Speaker 1: she's talking about how she has a lot of regrets

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Speaker 1: getting all these procedures done, putting all these toxins into

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Speaker 1: her body, and just not realizing that she was beautiful

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Speaker 1: the way she was, and it's just really unfortunate. We're

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Speaker 1: seeing this a lot.

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Speaker 3: We talked a couple months ago also about Black China

403
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Speaker 3: getting her fillers dissolved, and the Kardashians are clearly starting

404
00:22:28,080 --> 00:22:30,520
Speaker 3: to do it as well. So I just think getting

405
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Speaker 3: these dramatic procedures is just we're going to see a

406
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Speaker 3: shift in them over time. I also think that these

407
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Speaker 3: girls cry like, oh, I regret it, But it's like

408
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Speaker 3: that's how they that's how they got popular. You know,

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Speaker 3: they also used it to get where they're at. So

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Speaker 3: now that they're like.

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Speaker 1: They're wealthy and they're in a good spot, they could

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Speaker 1: say whatever they want to say, you know what I mean,

413
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Speaker 1: even though they know that they specifically had influence over

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Speaker 1: these people that are dying because of these procedures. It's

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Speaker 1: really kind of interesting.

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Speaker 3: No, definitely, I just am interested to see the social

417
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Speaker 3: shift in the perception of bodies and how it's all

418
00:23:07,160 --> 00:23:10,680
Speaker 3: changing over the last decade. Hopefully it changes back because

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Speaker 3: people look like freaks.

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Speaker 1: All right, Let's change over to this next story that

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Speaker 1: a lithium ion battery. So we talked about this last

422
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Speaker 1: was it last week that there was a fire on

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Speaker 1: the plane due to a portable phone charger because of

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Speaker 1: a lithium ion battery. And now I actually think I

425
00:23:29,440 --> 00:23:32,640
Speaker 1: brought this up that this is a huge problem, especially

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Speaker 1: in New York City with like electric bikes and electric scooters.

427
00:23:37,320 --> 00:23:41,080
Speaker 1: In this case that this family had an electric scooter.

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Speaker 1: It was in a building with multiple other occupants, and

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Speaker 1: the fire department described it as a wall of fire

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Speaker 1: that didn't let people get out of the building because

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Speaker 1: it's just common, Like you use a scooter, that's that

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Speaker 1: you plug in so where you're gonna plug it in,

433
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Speaker 1: like right near on the door, so you could easily

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Speaker 1: bring it outside. And three generations of one family died.

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Speaker 1: So it was a mom, her son, and her grandson.

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Speaker 1: The mom was in her eighties. I believe she was

437
00:24:10,840 --> 00:24:13,159
Speaker 1: eighty one, the son was fifty eight, the grandson was

438
00:24:13,200 --> 00:24:17,960
Speaker 1: thirty three. They said that the scooter belonged to one

439
00:24:18,000 --> 00:24:21,399
Speaker 1: of them. But on top of these three generations of

440
00:24:21,440 --> 00:24:24,480
Speaker 1: a family dying, also fourteen other people got injured and

441
00:24:24,520 --> 00:24:28,560
Speaker 1: a firefighter got pretty seriously injured too, So it's like

442
00:24:29,480 --> 00:24:32,359
Speaker 1: it's a serious issue. These things catch on fire and

443
00:24:33,119 --> 00:24:37,320
Speaker 1: people are making counterfeit ones and selling them and most

444
00:24:37,359 --> 00:24:40,359
Speaker 1: people probably don't even realize that they're buying them. That's

445
00:24:40,400 --> 00:24:41,480
Speaker 1: the scary part of it.

446
00:24:42,880 --> 00:24:45,320
Speaker 3: Yeah, you know, last week, after you said that you

447
00:24:45,760 --> 00:24:48,560
Speaker 3: want to leave the drill battery pack plugged in and

448
00:24:48,600 --> 00:24:51,160
Speaker 3: Gabe told you not to, I've been really thinking about

449
00:24:51,520 --> 00:24:53,600
Speaker 3: some stuff we just have plugged in around the house,

450
00:24:53,600 --> 00:24:56,640
Speaker 3: which is things like that drill packs. I have a rumba,

451
00:24:56,800 --> 00:25:01,520
Speaker 3: which I don't even really like how it works anyway, I.

452
00:25:01,400 --> 00:25:03,320
Speaker 1: Definitely I've heard a couple of cases of it.

453
00:25:04,720 --> 00:25:07,360
Speaker 3: Well, yeah, and my my husband actually had a client

454
00:25:07,480 --> 00:25:10,200
Speaker 3: that's house caught on fire because of the room, but

455
00:25:10,359 --> 00:25:13,119
Speaker 3: and they lost their home because of it, So I'm

456
00:25:13,119 --> 00:25:15,160
Speaker 3: pretty sure a pet died in the incident as well.

457
00:25:15,280 --> 00:25:18,639
Speaker 3: So they're really scary. And I don't even think about it.

458
00:25:18,680 --> 00:25:21,119
Speaker 3: When I got it as a gift, I just plugged

459
00:25:21,119 --> 00:25:23,000
Speaker 3: it on in and then go about my day.

460
00:25:23,040 --> 00:25:24,480
Speaker 2: And now it kind of freaks me out.

461
00:25:24,520 --> 00:25:26,879
Speaker 3: So it's one of those uh, if I use it,

462
00:25:26,880 --> 00:25:28,680
Speaker 3: I'll only plug it into charge it the day I'm

463
00:25:28,680 --> 00:25:30,080
Speaker 3: going to use it, and then I plug it when

464
00:25:30,080 --> 00:25:30,440
Speaker 3: I'm done.

465
00:25:31,160 --> 00:25:33,240
Speaker 1: So it's like, where do you draw the line. Though,

466
00:25:33,240 --> 00:25:36,320
Speaker 1: it's your computer, it's your phone. It's there's so many

467
00:25:36,400 --> 00:25:39,240
Speaker 1: things that you use all the time. Like the kids

468
00:25:39,240 --> 00:25:42,080
Speaker 1: have these stupid little like lamp things in their room,

469
00:25:42,280 --> 00:25:45,600
Speaker 1: and there's just a lot of different things that you

470
00:25:45,600 --> 00:25:48,240
Speaker 1: you don't even think about that you're constantly charging. It's

471
00:25:48,280 --> 00:25:52,120
Speaker 1: just it's scary. I mean, your space heater even caught

472
00:25:52,119 --> 00:25:55,440
Speaker 1: on fire last week. I know, I know it's smell.

473
00:25:55,720 --> 00:25:58,720
Speaker 1: That was horrible. That was so scary and of course

474
00:25:58,840 --> 00:26:01,600
Speaker 1: was where was it is scary. He was like home,

475
00:26:01,640 --> 00:26:03,359
Speaker 1: but he wasn't home at the time. Wasn't he like

476
00:26:03,359 --> 00:26:06,280
Speaker 1: getting his haircut or something. And We're all like, yeah,

477
00:26:06,320 --> 00:26:08,560
Speaker 1: he ran out. We're like scared to death that he's

478
00:26:08,600 --> 00:26:10,600
Speaker 1: gonna yell at us if we set something on fire.

479
00:26:10,720 --> 00:26:13,320
Speaker 1: So we're like quick, let's like get it out of

480
00:26:13,359 --> 00:26:16,560
Speaker 1: the house and make that light some candles and incense

481
00:26:16,600 --> 00:26:19,000
Speaker 1: so he doesn't catch us because he's going to freak out.

482
00:26:19,840 --> 00:26:22,120
Speaker 1: Oh my yeah.

483
00:26:22,200 --> 00:26:26,399
Speaker 3: It started out with by pop off your dad. He

484
00:26:26,920 --> 00:26:29,399
Speaker 3: can't hear anything. So one time we were on a

485
00:26:29,440 --> 00:26:32,040
Speaker 3: family trip and he kept hearing the seatbelt thing going

486
00:26:32,080 --> 00:26:33,040
Speaker 3: off and kept going.

487
00:26:32,880 --> 00:26:33,639
Speaker 1: What's that noise?

488
00:26:34,119 --> 00:26:36,200
Speaker 3: We're like, what do you mean, what's that noise? It's

489
00:26:36,200 --> 00:26:39,359
Speaker 3: the thing. So I kept hearing this flickering. It was

490
00:26:39,440 --> 00:26:41,960
Speaker 3: joking with you. It was go, go what's that noise?

491
00:26:42,720 --> 00:26:44,760
Speaker 1: It was catching god farah. And then I was like,

492
00:26:44,840 --> 00:26:47,920
Speaker 1: wait that smell. It just was like that classic electric,

493
00:26:48,040 --> 00:26:52,359
Speaker 1: like burnt, like fishy, weird like smell. It was just yeah,

494
00:26:52,400 --> 00:26:55,639
Speaker 1: and it was so scary. But I just got another

495
00:26:55,680 --> 00:26:57,920
Speaker 1: one and I'm back in business because I can't live

496
00:26:57,960 --> 00:27:11,440
Speaker 1: without my spacey Ray can you imagine those poor guys

497
00:27:11,480 --> 00:27:14,719
Speaker 1: that were working for that disposal company that got called

498
00:27:14,760 --> 00:27:18,600
Speaker 1: to that producer son's house to move the bag of rocks.

499
00:27:19,560 --> 00:27:22,280
Speaker 2: No, I can't ever imagine being in that position.

500
00:27:22,359 --> 00:27:24,760
Speaker 1: Well, let me tell you something, if they had some

501
00:27:24,840 --> 00:27:27,359
Speaker 1: stink bomb in their pocket, they might have been in

502
00:27:27,359 --> 00:27:29,879
Speaker 1: a better situation that they wouldn't have had to smell

503
00:27:30,000 --> 00:27:31,640
Speaker 1: decomposing human remains.

504
00:27:31,680 --> 00:27:34,080
Speaker 3: What do you think, Yeah, I mean I always think

505
00:27:34,080 --> 00:27:38,000
Speaker 3: that about garbage people in general. Is just it would

506
00:27:38,040 --> 00:27:40,280
Speaker 3: be such a handy tool to have in their pocket

507
00:27:40,400 --> 00:27:43,080
Speaker 3: for when you just have normal gross trash or an

508
00:27:43,080 --> 00:27:46,080
Speaker 3: accidental decomp in your bag that you weren't prepared for,

509
00:27:46,560 --> 00:27:48,600
Speaker 3: just keep it in your pocket, just like checks.

510
00:27:48,640 --> 00:27:50,840
Speaker 1: That's actually a good idea because I always get my

511
00:27:50,920 --> 00:27:53,639
Speaker 1: trash man. I usually give them money every year because

512
00:27:53,680 --> 00:27:56,119
Speaker 1: they take out they just work really hard and I

513
00:27:56,160 --> 00:27:58,359
Speaker 1: want to thank them. But this year I'm going to

514
00:27:58,400 --> 00:28:02,240
Speaker 1: also put a little tube of stink bomb on their envelope,

515
00:28:02,320 --> 00:28:04,679
Speaker 1: just to be like, hey, why don't you guys use this?

516
00:28:04,800 --> 00:28:10,200
Speaker 1: Because trash truck juice has a very specific nasty smell,

517
00:28:10,320 --> 00:28:13,600
Speaker 1: and I'm sure that they're used to it, but they

518
00:28:13,680 --> 00:28:18,440
Speaker 1: probably would enjoy smelling something like evergreen instead or a

519
00:28:18,480 --> 00:28:21,400
Speaker 1: little pumpkin spice. You never know they're in the mood

520
00:28:21,440 --> 00:28:26,320
Speaker 1: for whatever. They're fans Maybia coffee. Maybe they're a lavender

521
00:28:26,400 --> 00:28:29,200
Speaker 1: type of guy. You don't know. Hey, why the per

522
00:28:29,320 --> 00:28:34,520
Speaker 1: gangreene when you could smell evergreen? Of course? And use

523
00:28:34,880 --> 00:28:39,880
Speaker 1: code MKD fifteen on stinkbombodor blocker dot com for fifteen

524
00:28:39,920 --> 00:28:44,480
Speaker 1: percent off all their products. Gift yourself this holiday season,

525
00:28:44,680 --> 00:28:48,880
Speaker 1: Gift your local trash guys, Gift any medical people in

526
00:28:48,920 --> 00:28:51,680
Speaker 1: your life. It's really the perfect thing for everybody, and

527
00:28:51,720 --> 00:28:54,760
Speaker 1: it's a great stocking stuffer. Goes right in your pocket,

528
00:28:54,880 --> 00:29:00,880
Speaker 1: your purse, wherever. The stink Bomb. Okay, so now we're

529
00:29:00,920 --> 00:29:03,680
Speaker 1: going to get into violent crimes, and our first case

530
00:29:03,760 --> 00:29:07,560
Speaker 1: has to do with Maya Kowalski. So let me set

531
00:29:07,600 --> 00:29:12,560
Speaker 1: the scene of what happened with this girl in October

532
00:29:12,640 --> 00:29:15,600
Speaker 1: of twenty sixteen. This girl was a child and she

533
00:29:15,760 --> 00:29:20,080
Speaker 1: had something called complex regional pain syndrome. And there's not

534
00:29:20,200 --> 00:29:23,959
Speaker 1: a lot known about this, but basically what happens in

535
00:29:24,000 --> 00:29:28,040
Speaker 1: this particular disorder is that one or two limbs could

536
00:29:28,040 --> 00:29:30,360
Speaker 1: be affected and it could cause your limb to be

537
00:29:30,480 --> 00:29:34,640
Speaker 1: cold or have a sensation of burning or have extreme pain.

538
00:29:35,280 --> 00:29:38,120
Speaker 1: And I've gotten a couple cases of it sent to

539
00:29:38,120 --> 00:29:41,400
Speaker 1: me on Instagram, and it just seems completely horrible. It's

540
00:29:41,400 --> 00:29:45,480
Speaker 1: not very understood, it's not very common. But this child

541
00:29:45,520 --> 00:29:48,719
Speaker 1: had it, she was diagnosed with it, and she was

542
00:29:48,760 --> 00:29:51,840
Speaker 1: having a flare or an episode, and her mom took

543
00:29:51,920 --> 00:29:56,040
Speaker 1: her to the emergency room at John Hopkins's Hospital and

544
00:29:56,200 --> 00:29:59,280
Speaker 1: said that she wanted her daughter to get ketamine treatment,

545
00:30:00,120 --> 00:30:03,520
Speaker 1: and she said she had had it before in Mexico

546
00:30:03,760 --> 00:30:06,240
Speaker 1: and it worked, so she kept pushing and pushing that

547
00:30:06,320 --> 00:30:09,400
Speaker 1: she wanted her daughter to have this kedemine treatment, and

548
00:30:10,160 --> 00:30:14,560
Speaker 1: for whatever reason, at the emergency room, they started getting

549
00:30:14,560 --> 00:30:19,840
Speaker 1: the vibe that the mom was trying to give this

550
00:30:19,960 --> 00:30:23,280
Speaker 1: daughter a treatment that she didn't really need, and they

551
00:30:23,400 --> 00:30:25,920
Speaker 1: ended up coming to the conclusion that this mom has

552
00:30:25,960 --> 00:30:30,040
Speaker 1: something called Munchausen by proxy, which is when a caregiver

553
00:30:30,280 --> 00:30:34,800
Speaker 1: or a parent tries to make up that their kid

554
00:30:34,880 --> 00:30:38,360
Speaker 1: is sick in order to get attention, and they ended

555
00:30:38,440 --> 00:30:42,920
Speaker 1: up calling it in as a child abuse case. The

556
00:30:43,080 --> 00:30:46,520
Speaker 1: mom got her daughter taken away from her, and her

557
00:30:46,600 --> 00:30:50,600
Speaker 1: daughter went into the custody of the state and she

558
00:30:50,680 --> 00:30:54,120
Speaker 1: couldn't get her back and after a couple years or

559
00:30:54,240 --> 00:30:57,160
Speaker 1: a couple of months, I'm sorry, three months later she

560
00:30:57,960 --> 00:30:59,640
Speaker 1: hanged herself in her garage.

561
00:31:00,680 --> 00:31:04,080
Speaker 3: It's really sad. So why this story is the mother

562
00:31:04,320 --> 00:31:07,120
Speaker 3: ended her life in twenty seventeen. But why this story

563
00:31:07,160 --> 00:31:10,520
Speaker 3: is relevant now is because earlier this year a documentary

564
00:31:10,600 --> 00:31:14,000
Speaker 3: had come out on Netflix, and then just this week

565
00:31:14,120 --> 00:31:17,720
Speaker 3: they were in the middle of the proceedings and they

566
00:31:17,800 --> 00:31:20,920
Speaker 3: won two hundred and sixty one The family had won

567
00:31:20,960 --> 00:31:23,560
Speaker 3: two hundred and sixty one million dollars in this mail

568
00:31:23,560 --> 00:31:26,560
Speaker 3: practice lawsuit. I'm pretty sure this was a record breaking

569
00:31:26,720 --> 00:31:30,840
Speaker 3: lawsuit for malpractice. So not only is this a huge

570
00:31:30,840 --> 00:31:32,880
Speaker 3: story that they won this amount of money and they

571
00:31:32,880 --> 00:31:36,920
Speaker 3: were proven that everything the hospital did was incorrect. Now

572
00:31:36,960 --> 00:31:40,320
Speaker 3: there is a follow up lawsuit of sexual abuse allegations

573
00:31:40,360 --> 00:31:43,880
Speaker 3: by hospital staffers to the patient Maya when she was

574
00:31:43,920 --> 00:31:44,360
Speaker 3: a minor.

575
00:31:44,520 --> 00:31:47,560
Speaker 1: Yeah, it's just it's this case is so messed up.

576
00:31:47,600 --> 00:31:50,640
Speaker 1: What is she like seventeen now and this poor kid

577
00:31:50,640 --> 00:31:53,640
Speaker 1: had it she's seventeen year old now, Yeah, she had

578
00:31:53,640 --> 00:31:58,920
Speaker 1: to go through this painful disorder, lose her mom to suicide,

579
00:31:59,200 --> 00:32:01,200
Speaker 1: and I can't imagine and like this whole entire time

580
00:32:01,240 --> 00:32:03,880
Speaker 1: I was reading about this today. I was thinking, like,

581
00:32:04,120 --> 00:32:06,560
Speaker 1: oh my god, Like if someone took away my kids

582
00:32:06,600 --> 00:32:09,120
Speaker 1: and it was like because they were sick and it

583
00:32:09,160 --> 00:32:11,960
Speaker 1: was completely legit, I just I can't. I don't even

584
00:32:12,000 --> 00:32:15,200
Speaker 1: know what I would do. It would just it's it's

585
00:32:15,240 --> 00:32:17,560
Speaker 1: it's terrible and all. It doesn't even matter, Like two

586
00:32:17,640 --> 00:32:20,360
Speaker 1: hundred and sixty million dollars is whatever. I mean, at

587
00:32:20,480 --> 00:32:24,480
Speaker 1: least she won't have to worry about work and buying

588
00:32:24,520 --> 00:32:27,120
Speaker 1: a house and paying for bills and everything. But like,

589
00:32:27,240 --> 00:32:31,000
Speaker 1: it's not going to make her life better. Our next

590
00:32:31,040 --> 00:32:34,000
Speaker 1: case is really cool and it shows some good old

591
00:32:34,080 --> 00:32:37,120
Speaker 1: fashioned detective work, which is not it really doesn't have

592
00:32:37,200 --> 00:32:40,520
Speaker 1: to do anything with like DNA or anything. But they

593
00:32:40,600 --> 00:32:45,080
Speaker 1: found this woman who has been unidentified for thirty one years.

594
00:32:45,080 --> 00:32:47,520
Speaker 1: She was found dead in Belgium and nobody knew who

595
00:32:47,600 --> 00:32:52,280
Speaker 1: she was. And with this like good old fashioned police work,

596
00:32:52,640 --> 00:32:55,360
Speaker 1: they were able to identify her this week. So you

597
00:32:55,400 --> 00:32:57,400
Speaker 1: want to tell her, you want to tell everybody what

598
00:32:57,600 --> 00:33:00,440
Speaker 1: I'm talking about here? Yeah, So in May of this year,

599
00:33:00,560 --> 00:33:04,440
Speaker 1: a website was launched where police are able to upload

600
00:33:04,680 --> 00:33:09,520
Speaker 1: previously confidential details of cold cases in trying to seek

601
00:33:09,560 --> 00:33:12,000
Speaker 1: help from the public, trying to get these cases solved.

602
00:33:12,200 --> 00:33:12,960
Speaker 1: We've seen with the.

603
00:33:12,920 --> 00:33:16,880
Speaker 3: Golden State Killer and other cases like that, there's been huge,

604
00:33:17,360 --> 00:33:21,560
Speaker 3: huge movements and improvements in solving these cold cases through

605
00:33:22,040 --> 00:33:25,680
Speaker 3: putting DNA through public DNA database systems. So I guess

606
00:33:25,680 --> 00:33:29,360
Speaker 3: this is just the next step in this. So this

607
00:33:29,400 --> 00:33:32,520
Speaker 3: woman was found murdered in Belgium and then this website

608
00:33:32,520 --> 00:33:35,000
Speaker 3: goes live and then a person living in the UK

609
00:33:35,920 --> 00:33:38,760
Speaker 3: was looking through it and was like, Hey, that tattoo

610
00:33:38,920 --> 00:33:41,480
Speaker 3: on this victim is really familiar to me, and it

611
00:33:41,600 --> 00:33:44,960
Speaker 3: ended up being a family member and they were able

612
00:33:45,000 --> 00:33:46,920
Speaker 3: to solve the case, which is just so cool. And

613
00:33:47,000 --> 00:33:50,520
Speaker 3: since this website has been launched, twenty two unidentified women

614
00:33:51,240 --> 00:33:55,000
Speaker 3: have been now identified and their cases have been not

615
00:33:55,080 --> 00:33:57,840
Speaker 3: necessarily solved, I guess, but now they at least know

616
00:33:57,880 --> 00:33:59,920
Speaker 3: who they are to make steps in the right there.

617
00:33:59,880 --> 00:34:03,000
Speaker 1: Actually, imagine having one of your family members missing for

618
00:34:03,040 --> 00:34:06,280
Speaker 1: thirty one years and not knowing like what happened to them,

619
00:34:06,320 --> 00:34:09,880
Speaker 1: where they went, and then one day seeing a picture

620
00:34:09,920 --> 00:34:12,600
Speaker 1: of their tattoo and finally getting closure.

621
00:34:12,280 --> 00:34:16,440
Speaker 3: Like what that must feel like? No, I think it's crazy.

622
00:34:16,480 --> 00:34:19,760
Speaker 3: You just never know what's happening in the family's circumstances

623
00:34:19,760 --> 00:34:22,839
Speaker 3: that they don't even know the person is missing, and

624
00:34:23,120 --> 00:34:25,000
Speaker 3: maybe it was just a matter of they knew they

625
00:34:25,040 --> 00:34:28,120
Speaker 3: were missing, but because they were seemingly in different countries,

626
00:34:28,200 --> 00:34:30,440
Speaker 3: they couldn't get a hold of the resources they needed

627
00:34:30,440 --> 00:34:31,840
Speaker 3: to to identify the victim.

628
00:34:32,000 --> 00:34:34,200
Speaker 1: Or I'm sure they would actually was missing if they

629
00:34:34,200 --> 00:34:36,360
Speaker 1: didn't hear get a phone call from her for thirty

630
00:34:36,360 --> 00:34:36,920
Speaker 1: one years.

631
00:34:38,480 --> 00:34:38,920
Speaker 2: You don't know.

632
00:34:39,080 --> 00:34:43,160
Speaker 3: But anyway, this website, I think is really cool. I

633
00:34:43,200 --> 00:34:44,920
Speaker 3: was checking I don't know if you checked it out.

634
00:34:44,920 --> 00:34:47,359
Speaker 3: I was checking it out earlier, and it's kind of

635
00:34:47,400 --> 00:34:49,279
Speaker 3: making me want to sit there and just look at

636
00:34:49,640 --> 00:34:52,360
Speaker 3: these details of these cold cases. But I'm going to

637
00:34:52,440 --> 00:34:54,279
Speaker 3: put the link to it in the description of this

638
00:34:54,400 --> 00:34:57,040
Speaker 3: episode so everybody else could check it out and maybe

639
00:34:57,040 --> 00:34:57,560
Speaker 3: you could help.

640
00:34:58,200 --> 00:35:01,279
Speaker 1: Because it's just if if that was if that was

641
00:35:01,320 --> 00:35:04,760
Speaker 1: a local case, they could have solved this right away,

642
00:35:04,840 --> 00:35:07,480
Speaker 1: if they had just I mean, a website isn't some

643
00:35:07,640 --> 00:35:11,600
Speaker 1: crazy technology, right, and it's just cool. No, I think

644
00:35:11,640 --> 00:35:15,600
Speaker 1: it's just more about keeping that information confidential, and now

645
00:35:16,840 --> 00:35:19,439
Speaker 1: they are able to release certain details that are able

646
00:35:19,440 --> 00:35:22,000
Speaker 1: to help you. I mean, especially because she was murdered too.

647
00:35:22,120 --> 00:35:25,480
Speaker 1: It's not like she was just found. They probably thought

648
00:35:25,520 --> 00:35:29,759
Speaker 1: that that would have maybe disrupted whatever investigation they were

649
00:35:29,760 --> 00:35:34,640
Speaker 1: doing or whatever. Another crazy story this week is that

650
00:35:35,719 --> 00:35:40,120
Speaker 1: there was a Las Vegas teenager who this is all

651
00:35:40,160 --> 00:35:44,040
Speaker 1: on film, was beat down by a large group of kids,

652
00:35:44,080 --> 00:35:47,960
Speaker 1: maybe ten to fifteen years old over a vate pen

653
00:35:48,160 --> 00:35:52,520
Speaker 1: and headphones or something. I wanted to talk to you

654
00:35:52,560 --> 00:35:56,200
Speaker 1: about this case because there's two distinct things that are

655
00:35:56,239 --> 00:35:59,880
Speaker 1: going on with this case that I think are indicative

656
00:36:00,120 --> 00:36:05,000
Speaker 1: of what's going on in society right now. But number one,

657
00:36:05,560 --> 00:36:12,160
Speaker 1: videotaping is off is off the chain, trying to videotape

658
00:36:12,200 --> 00:36:16,080
Speaker 1: people that are hurt in accidents or that are suffering,

659
00:36:16,640 --> 00:36:19,920
Speaker 1: or that are getting murdered. It's almost like people want

660
00:36:19,960 --> 00:36:22,279
Speaker 1: to get a viral video more than they want to

661
00:36:22,360 --> 00:36:26,640
Speaker 1: help like fellow mankind. It's just it's just completely nuts.

662
00:36:26,640 --> 00:36:30,040
Speaker 1: But people send me these videos all day long, and

663
00:36:30,080 --> 00:36:32,560
Speaker 1: I just sit there and I think, like, you don't

664
00:36:32,600 --> 00:36:34,800
Speaker 1: want to help that guy. You'd rather just like stand

665
00:36:34,840 --> 00:36:38,120
Speaker 1: over here with a camera right now and get this video.

666
00:36:38,200 --> 00:36:41,280
Speaker 1: And the second thing is that I'm seeing an increased

667
00:36:41,280 --> 00:36:45,640
Speaker 1: trend that young people don't have like the same regard

668
00:36:45,760 --> 00:36:50,359
Speaker 1: for life as they should. I don't know if if

669
00:36:50,360 --> 00:36:53,920
Speaker 1: that even makes sense what I'm saying, But do you remember,

670
00:36:54,040 --> 00:36:57,880
Speaker 1: like last year in Philly, there was there was a

671
00:36:57,920 --> 00:37:01,640
Speaker 1: person like young kid that beat up some old guy

672
00:37:01,680 --> 00:37:03,799
Speaker 1: that was just walking down the street, some seventy year

673
00:37:03,840 --> 00:37:06,480
Speaker 1: old guy. They like beat him up with it. They

674
00:37:06,560 --> 00:37:08,720
Speaker 1: beat him to death with the traffic cone or something.

675
00:37:09,360 --> 00:37:12,480
Speaker 1: And one of the girls was like thirteen or something

676
00:37:12,520 --> 00:37:17,160
Speaker 1: that did it. And there's just just disregard for life.

677
00:37:17,280 --> 00:37:22,280
Speaker 1: And they ended up arresting eight of these kids, right,

678
00:37:23,400 --> 00:37:25,560
Speaker 1: and they're still looking for a couple more. But the

679
00:37:25,680 --> 00:37:28,520
Speaker 1: youngest kid that got arrested was only thirteen years old.

680
00:37:28,880 --> 00:37:30,680
Speaker 1: It's like it's a baby, you know what I mean.

681
00:37:32,000 --> 00:37:34,000
Speaker 3: Yeah, I think we're seeing this a lot. I think

682
00:37:34,000 --> 00:37:36,960
Speaker 3: it plays into them being on social media and just

683
00:37:37,040 --> 00:37:39,920
Speaker 3: exposed to things so much younger, and there's just this

684
00:37:40,160 --> 00:37:44,839
Speaker 3: general people are just so desensitized to things going on,

685
00:37:45,680 --> 00:37:47,799
Speaker 3: and I think it's really gross. I think a lot

686
00:37:47,800 --> 00:37:51,239
Speaker 3: of situations we see, especially in Philly with carjackings and

687
00:37:51,360 --> 00:37:54,600
Speaker 3: using guns and everything, has been with younger people.

688
00:37:54,719 --> 00:37:57,080
Speaker 1: So that's definitely scary.

689
00:37:56,760 --> 00:37:59,200
Speaker 3: To think about. And I guess we just have to

690
00:37:59,200 --> 00:38:01,880
Speaker 3: look at the or your picture, what's what is the

691
00:38:01,920 --> 00:38:05,440
Speaker 3: source of this. Is it their excessive Internet usage? Is

692
00:38:05,480 --> 00:38:06,480
Speaker 3: it video games?

693
00:38:06,600 --> 00:38:10,600
Speaker 1: Is it just a culture shifting? And I think it's

694
00:38:10,680 --> 00:38:13,640
Speaker 1: what they're I think it's family, like one hundred percent.

695
00:38:14,080 --> 00:38:16,440
Speaker 1: I mean all of those other things factor into it,

696
00:38:16,520 --> 00:38:20,560
Speaker 1: for sure, because people are just hoping that they're gonna

697
00:38:20,600 --> 00:38:23,200
Speaker 1: get like the next viral video and like get a

698
00:38:23,200 --> 00:38:26,080
Speaker 1: lot of followers around TikTok and stuff, So that is

699
00:38:26,120 --> 00:38:29,000
Speaker 1: definitely a thing. But I think a lot of it

700
00:38:29,040 --> 00:38:33,200
Speaker 1: is just that they're not being raised by even one

701
00:38:33,239 --> 00:38:37,040
Speaker 1: good parent at least, and that those skills of having

702
00:38:37,120 --> 00:38:39,399
Speaker 1: respect for your own life and having respect for other

703
00:38:39,440 --> 00:38:42,240
Speaker 1: people's lives is a huge problem.

704
00:38:42,320 --> 00:38:47,120
Speaker 3: Right Well, that could boil down to a million different things.

705
00:38:47,160 --> 00:38:50,400
Speaker 3: We're living in a time where the economic climate is

706
00:38:50,440 --> 00:38:53,560
Speaker 3: horrible and most people are working two jobs, so that

707
00:38:53,600 --> 00:38:57,960
Speaker 3: could be a contributing factor. Technology in itself. People are distracted.

708
00:38:58,000 --> 00:39:00,440
Speaker 3: I don't think it's very common that people are sitting

709
00:39:00,440 --> 00:39:04,880
Speaker 3: down for family dinners anymore, which I think is really important.

710
00:39:04,880 --> 00:39:08,200
Speaker 3: That people should be having that togetherness where they're kind

711
00:39:08,200 --> 00:39:10,760
Speaker 3: of undistracted and knowing what's going on in their loved

712
00:39:10,800 --> 00:39:13,319
Speaker 3: ones lives. And I think we're separating a lot from

713
00:39:13,320 --> 00:39:17,959
Speaker 3: that traditional family dynamic of spending time together. And even

714
00:39:18,000 --> 00:39:20,640
Speaker 3: if you're quote unquote spending time together all sitting on

715
00:39:20,680 --> 00:39:24,040
Speaker 3: a couch on the phone, that's not really being present

716
00:39:24,200 --> 00:39:25,800
Speaker 3: knowing what's going on and the people.

717
00:39:25,600 --> 00:39:26,399
Speaker 1: Around us lives.

718
00:39:26,640 --> 00:39:30,120
Speaker 3: And I think I think we are a little guilty

719
00:39:30,239 --> 00:39:33,680
Speaker 3: of being very used to sitting on the couch, being

720
00:39:33,719 --> 00:39:35,719
Speaker 3: able to do our own thing on our phones and

721
00:39:35,760 --> 00:39:38,560
Speaker 3: not pay any mind. But I do think you're really

722
00:39:38,600 --> 00:39:41,799
Speaker 3: good with the little ones about making sure you're all

723
00:39:41,800 --> 00:39:44,319
Speaker 3: watching a movie together and talking to them about how

724
00:39:44,360 --> 00:39:46,960
Speaker 3: their school day was, and knowing and being all up

725
00:39:47,000 --> 00:39:48,640
Speaker 3: in the drama of what's going on.

726
00:39:48,800 --> 00:39:51,879
Speaker 1: So I know way too much about every single kid

727
00:39:51,920 --> 00:39:54,800
Speaker 1: they go to school with. But it's it's good because

728
00:39:55,800 --> 00:39:58,520
Speaker 1: but it's it's an effort because it is easier to

729
00:39:58,719 --> 00:40:01,839
Speaker 1: just like all sit and play on the phone. And

730
00:40:02,320 --> 00:40:06,279
Speaker 1: the phone's like the ultimate narcissist thing, right, Like why

731
00:40:06,280 --> 00:40:07,880
Speaker 1: would I want to hear about your day when I

732
00:40:07,920 --> 00:40:10,040
Speaker 1: could look in this thing that's like one hundred percent

733
00:40:10,120 --> 00:40:13,399
Speaker 1: cater towards me, And it's like looking into mirror all day,

734
00:40:13,440 --> 00:40:15,399
Speaker 1: you know what I mean. So you have to go,

735
00:40:15,840 --> 00:40:17,360
Speaker 1: you have to go out of your way now to

736
00:40:17,960 --> 00:40:21,040
Speaker 1: do that. But a lot of kids, a lot of

737
00:40:21,120 --> 00:40:24,680
Speaker 1: kids aren't getting that, and I think that's it. And

738
00:40:24,719 --> 00:40:26,719
Speaker 1: then then you have a group of a lot of

739
00:40:26,800 --> 00:40:28,680
Speaker 1: kids that are all friends with each other, that are

740
00:40:28,760 --> 00:40:31,239
Speaker 1: kind of just have this like fuck you mentality. This

741
00:40:31,320 --> 00:40:32,040
Speaker 1: is what happens.

742
00:40:33,880 --> 00:40:37,680
Speaker 3: So it's the one year anniversary of the Idaho murders.

743
00:40:37,840 --> 00:40:40,520
Speaker 3: Monday was the one year anniversary. I can't even believe

744
00:40:40,560 --> 00:40:43,080
Speaker 3: it's been one full years, and in some regards, I

745
00:40:43,080 --> 00:40:45,719
Speaker 3: feel like it's been longer, but not long enough. It's

746
00:40:45,760 --> 00:40:49,279
Speaker 3: this very weird vortex of being so caught up on

747
00:40:49,320 --> 00:40:51,560
Speaker 3: it and being like this couldn't all of this couldn't

748
00:40:51,560 --> 00:40:54,560
Speaker 3: have possibly gone down legally and catching the guy in

749
00:40:54,719 --> 00:40:58,600
Speaker 3: just one year. But here we are today, one year later,

750
00:40:59,120 --> 00:41:00,000
Speaker 3: four students.

751
00:41:00,160 --> 00:41:02,200
Speaker 1: I was gonna say that, please explain this to people,

752
00:41:02,239 --> 00:41:05,239
Speaker 1: because so many times me and Maria will be out

753
00:41:05,280 --> 00:41:07,000
Speaker 1: somewhere and we'll be talking to like a friend we

754
00:41:07,040 --> 00:41:09,480
Speaker 1: haven't seen, or family or whatever, and we'll say like,

755
00:41:10,520 --> 00:41:12,880
Speaker 1: oh my god, the case that we're really keeping up

756
00:41:12,920 --> 00:41:16,520
Speaker 1: on is like this Idaho murders and like this guy

757
00:41:16,680 --> 00:41:21,200
Speaker 1: that killed all these college students, and people are like, oh,

758
00:41:21,320 --> 00:41:23,600
Speaker 1: I never heard of that, and I'm like, what have

759
00:41:23,680 --> 00:41:26,560
Speaker 1: you been living under her rock or something? So Ray

760
00:41:26,840 --> 00:41:30,520
Speaker 1: explain to them, like what we're even talking about right now.

761
00:41:30,560 --> 00:41:32,360
Speaker 1: For those people that are living under rocks.

762
00:41:35,040 --> 00:41:36,960
Speaker 3: One of those people is my husband, who I know

763
00:41:37,080 --> 00:41:38,799
Speaker 3: is going to be listening to this on his drive

764
00:41:38,840 --> 00:41:42,600
Speaker 3: to work tomorrow, so calling you out, Ricky. But so,

765
00:41:43,680 --> 00:41:46,960
Speaker 3: last year, four students were killed in housing that was

766
00:41:47,040 --> 00:41:49,839
Speaker 3: off campus housing in the middle of the night. It

767
00:41:49,880 --> 00:41:53,800
Speaker 3: was a really scary situation. They didn't know well. I

768
00:41:53,880 --> 00:41:56,160
Speaker 3: think the police knew much sooner than us, but for us,

769
00:41:56,280 --> 00:41:59,160
Speaker 3: nobody was caught for six weeks, so it was really scary.

770
00:41:59,200 --> 00:42:01,640
Speaker 3: They were killed in this really gruesome way. We don't

771
00:42:01,680 --> 00:42:05,319
Speaker 3: have really exact details beyond the fact that we know

772
00:42:05,400 --> 00:42:08,719
Speaker 3: they were stabbed and killed with a knife, so that

773
00:42:08,920 --> 00:42:11,399
Speaker 3: more information about that's going to come out over time,

774
00:42:11,440 --> 00:42:14,319
Speaker 3: but there's a gag order right now, so we are

775
00:42:14,360 --> 00:42:17,120
Speaker 3: getting little snippets here and there, but we don't really

776
00:42:17,160 --> 00:42:19,480
Speaker 3: know the exact breakdown of the night, which is kind

777
00:42:19,480 --> 00:42:23,880
Speaker 3: of even scarier. But six weeks after the crime, a

778
00:42:23,920 --> 00:42:27,560
Speaker 3: guy had been arrested. The crime happened in Idaho and

779
00:42:27,640 --> 00:42:30,640
Speaker 3: he was arrested in Pennsylvania, actually not super far from

780
00:42:30,640 --> 00:42:33,440
Speaker 3: where we are, so that was eerie in itself. But

781
00:42:33,640 --> 00:42:37,319
Speaker 3: it turns out Brian Koberger is the current suspect. There's

782
00:42:37,360 --> 00:42:40,080
Speaker 3: a lot of evidence going against him. We have to

783
00:42:40,120 --> 00:42:43,040
Speaker 3: remember again he's innocent until proven guilty, but it's not

784
00:42:43,080 --> 00:42:43,759
Speaker 3: really looking great.

785
00:42:43,840 --> 00:42:46,920
Speaker 1: But there was a night a night sheath underneath of

786
00:42:46,960 --> 00:42:50,640
Speaker 1: one of the victim's bodies with his DNA on it,

787
00:42:50,960 --> 00:42:54,440
Speaker 1: so like why was that there?

788
00:42:56,400 --> 00:42:58,960
Speaker 3: Yeah, you just you just have to say, like, he's

789
00:42:58,960 --> 00:43:03,520
Speaker 3: he's still not formally convicted, and it's really scary because

790
00:43:03,600 --> 00:43:08,560
Speaker 3: he's a PhD student in criminology, so we have been

791
00:43:08,640 --> 00:43:11,239
Speaker 3: really vocal about that. We just think there's something so

792
00:43:11,360 --> 00:43:14,200
Speaker 3: much deeper behind this case that he's trying to trick

793
00:43:14,239 --> 00:43:17,880
Speaker 3: the system like he did this. He's definitely going to

794
00:43:17,960 --> 00:43:20,560
Speaker 3: go forward with the motions of going through trial and

795
00:43:20,600 --> 00:43:22,239
Speaker 3: he knows he did it, but he's going to try

796
00:43:22,280 --> 00:43:24,799
Speaker 3: to poke every hole in the system because he's been

797
00:43:24,840 --> 00:43:30,080
Speaker 3: spending most of his adulthood studying criminology and both sides

798
00:43:30,120 --> 00:43:32,560
Speaker 3: of it. So now he's the murderer and the person

799
00:43:32,600 --> 00:43:35,920
Speaker 3: working on the other end investigating, and it's just going

800
00:43:36,000 --> 00:43:39,279
Speaker 3: to be really terrifying how this turns out, and I

801
00:43:39,320 --> 00:43:42,080
Speaker 3: hope that they're working really hard so he's not able

802
00:43:42,120 --> 00:43:45,440
Speaker 3: to poke any holes in the system and he is convicted.

803
00:43:45,560 --> 00:43:48,600
Speaker 1: Now, one thing that you didn't mention is that this guy.

804
00:43:49,120 --> 00:43:51,399
Speaker 1: For those of you that are living under a rock

805
00:43:51,480 --> 00:43:54,400
Speaker 1: that don't know about this guy, you need to google

806
00:43:54,440 --> 00:43:57,000
Speaker 1: his name because he is creepy as fuck. He is

807
00:43:57,040 --> 00:44:01,360
Speaker 1: the creepiest looking dude. Like when I was glued to

808
00:44:01,440 --> 00:44:05,200
Speaker 1: this case obviously, and when they said they I'll never forget,

809
00:44:05,200 --> 00:44:07,080
Speaker 1: Like Gabe and I were driving home from Florida and

810
00:44:07,160 --> 00:44:09,520
Speaker 1: they said they arrested someone, and of course his picture

811
00:44:09,640 --> 00:44:12,759
Speaker 1: ended up on the internet five minutes later, and his

812
00:44:12,920 --> 00:44:15,960
Speaker 1: eyes are so scary, and I was like, oh my god,

813
00:44:16,000 --> 00:44:17,000
Speaker 1: Like this is the guy.

814
00:44:18,400 --> 00:44:20,640
Speaker 3: Yeah, I mean, you can't really say somebody killed somebody

815
00:44:20,640 --> 00:44:23,120
Speaker 3: based on their eyes. But it doesn't really help this

816
00:44:23,280 --> 00:44:24,640
Speaker 3: case that he's griefy.

817
00:44:24,680 --> 00:44:30,640
Speaker 1: God. So he was supposed to his.

818
00:44:30,560 --> 00:44:32,799
Speaker 3: Trial was supposed to start in the beginning of October,

819
00:44:32,920 --> 00:44:35,120
Speaker 3: which I was like, there's no way that's happening. Of

820
00:44:35,120 --> 00:44:37,680
Speaker 3: course it did not. In August, he waved his right

821
00:44:37,719 --> 00:44:42,280
Speaker 3: to a speedy trial. I am really fascinated to see

822
00:44:42,320 --> 00:44:44,680
Speaker 3: how this pans out over time. I think this trial,

823
00:44:45,120 --> 00:44:47,279
Speaker 3: I don't know if it's going to be televised or not.

824
00:44:47,400 --> 00:44:50,120
Speaker 3: We were saying we're kind of indifferent about it. We

825
00:44:50,160 --> 00:44:53,080
Speaker 3: think it's important that it's televised, and like also a

826
00:44:53,120 --> 00:44:56,480
Speaker 3: little nosey that's televised so we can see exactly what

827
00:44:56,560 --> 00:44:58,359
Speaker 3: this guy did and make sure he doesn't get away

828
00:44:58,400 --> 00:45:00,160
Speaker 3: with it. But also we want to make sure that

829
00:45:00,200 --> 00:45:04,200
Speaker 3: the families aren't in a vulnerable spot where pictures and

830
00:45:04,320 --> 00:45:07,160
Speaker 3: certain information about their kids are getting released, because this

831
00:45:07,239 --> 00:45:09,799
Speaker 3: is a horrific story and these four people lost their

832
00:45:09,840 --> 00:45:13,319
Speaker 3: lives for no reason and in my opinion, just this

833
00:45:13,440 --> 00:45:14,960
Speaker 3: sick game this guy's playing.

834
00:45:15,880 --> 00:45:18,879
Speaker 1: Okay, let's get into some medical news.

835
00:45:18,920 --> 00:45:21,800
Speaker 3: Medical news, So this story, I had a couple people

836
00:45:21,920 --> 00:45:24,759
Speaker 3: send me about a mother who was taking popular weight

837
00:45:24,840 --> 00:45:28,120
Speaker 3: loss drugs to lose weight for her daughter's wedding and

838
00:45:28,160 --> 00:45:30,040
Speaker 3: then she ended up dying. So do you want to

839
00:45:30,120 --> 00:45:31,960
Speaker 3: kind of give a breakdown of what was going on.

840
00:45:32,080 --> 00:45:35,120
Speaker 1: She's a fifty six year old female. She started taking ozembic.

841
00:45:35,880 --> 00:45:39,000
Speaker 1: She got diarrhea. Just like I mean, we personally know

842
00:45:39,160 --> 00:45:41,920
Speaker 1: people who take these drugs that get diarrhea, So this

843
00:45:41,960 --> 00:45:45,200
Speaker 1: is like a common thing. And after a few months

844
00:45:45,200 --> 00:45:50,879
Speaker 1: she switched to another drug called what is it sedexta.

845
00:45:51,280 --> 00:45:57,239
Speaker 1: I don't even It's called ze zendra secanda, I don't

846
00:45:57,239 --> 00:45:59,360
Speaker 1: know whatever. I watched a video of out of her

847
00:45:59,400 --> 00:46:01,640
Speaker 1: das at five before years. It doesn't matter. It's just

848
00:46:01,640 --> 00:46:04,480
Speaker 1: one of those the same classic drugs. I don't know

849
00:46:04,560 --> 00:46:07,680
Speaker 1: for some reason, like drugs and pronunciation is just like

850
00:46:07,920 --> 00:46:10,840
Speaker 1: I just like have a mental block up to it. Anyway,

851
00:46:11,040 --> 00:46:14,640
Speaker 1: within five months she lost thirty five pounds, which I

852
00:46:15,040 --> 00:46:16,759
Speaker 1: almost kind of want to say that I think it's

853
00:46:16,800 --> 00:46:19,799
Speaker 1: a little responsible for irresponsible for a doctor to be

854
00:46:19,800 --> 00:46:22,600
Speaker 1: given a patient ozempic to fit into a dress. I

855
00:46:22,600 --> 00:46:26,440
Speaker 1: mean that if you're if you're really only that overweight

856
00:46:26,480 --> 00:46:29,719
Speaker 1: that you can't fit into a dress, I feel like

857
00:46:29,760 --> 00:46:32,200
Speaker 1: that's something that you could do on your own. But whatever,

858
00:46:32,360 --> 00:46:34,920
Speaker 1: I'm not I'm not judging. I'm still judging, but not

859
00:46:35,000 --> 00:46:39,359
Speaker 1: judging right. Anyway, she started, she complained the whole time

860
00:46:39,360 --> 00:46:42,880
Speaker 1: that she had diarrhea, she had nausea, stomach pains, vomiting,

861
00:46:43,760 --> 00:46:46,040
Speaker 1: and vomiting is the one that you really need to

862
00:46:46,040 --> 00:46:51,120
Speaker 1: pay attention to, because ozempic is a drug that has gastroparesis,

863
00:46:51,160 --> 00:46:53,839
Speaker 1: which is it's just like it has a known side

864
00:46:53,840 --> 00:46:57,759
Speaker 1: effect of that, which means that when you eat, gastroparesis

865
00:46:57,800 --> 00:47:00,160
Speaker 1: is like when the nerves in your bow are kind

866
00:46:59,960 --> 00:47:04,479
Speaker 1: of like moving the food towards your but your butt hole,

867
00:47:05,640 --> 00:47:09,719
Speaker 1: and when that's not working, the food gets stuck. And

868
00:47:09,920 --> 00:47:13,840
Speaker 1: when you're vomiting, it's because the food that you're eating

869
00:47:13,920 --> 00:47:16,680
Speaker 1: can't pass through. So that means that you have an obstruction.

870
00:47:17,560 --> 00:47:20,600
Speaker 1: And I know someone personally in my family that this

871
00:47:20,640 --> 00:47:22,759
Speaker 1: happened to, So this is like a real thing. Even

872
00:47:22,760 --> 00:47:25,239
Speaker 1: though the people that create these drugs say it's rare,

873
00:47:26,360 --> 00:47:27,879
Speaker 1: I feel like I hear it kind of a lot.

874
00:47:27,960 --> 00:47:30,560
Speaker 1: But that's typical with all these drugs. They kind of

875
00:47:30,600 --> 00:47:32,560
Speaker 1: want to sweep it under the carpet, like people are

876
00:47:32,600 --> 00:47:36,640
Speaker 1: actually having problems with it. But they said that her

877
00:47:36,640 --> 00:47:40,040
Speaker 1: causet death was a cute gi illness. Her family members

878
00:47:40,080 --> 00:47:42,719
Speaker 1: found her. She had stopped breathing and said that she

879
00:47:42,760 --> 00:47:45,080
Speaker 1: had brown stuff coming out of her mouth with which

880
00:47:45,120 --> 00:47:48,399
Speaker 1: further makes me think that she probably had some kind

881
00:47:48,440 --> 00:47:52,319
Speaker 1: of like life threatening obstruction that was like causing the

882
00:47:52,320 --> 00:47:54,320
Speaker 1: food that she was eating to not get all the

883
00:47:54,360 --> 00:47:55,240
Speaker 1: way through her bowl.

884
00:47:56,120 --> 00:47:58,080
Speaker 3: Well, I think it's important to note as well that

885
00:47:58,160 --> 00:48:02,000
Speaker 3: this case happened in Australia and that ozepic is not

886
00:48:02,160 --> 00:48:05,799
Speaker 3: approofd for weight loss yet in Australia, it's strictly for diabetes.

887
00:48:05,920 --> 00:48:09,160
Speaker 3: So I saw that her family was saying that she

888
00:48:09,400 --> 00:48:12,480
Speaker 3: was prescribed by a doctor. But in which way if

889
00:48:12,520 --> 00:48:13,680
Speaker 3: it wasn't approved.

890
00:48:13,360 --> 00:48:15,439
Speaker 1: For weight loss, Yeah, I don't know. I mean, it's

891
00:48:15,719 --> 00:48:19,560
Speaker 1: the drug is great for people for certain people. It's

892
00:48:19,560 --> 00:48:22,319
Speaker 1: definitely great for people that are like pre diabetic or

893
00:48:22,360 --> 00:48:25,040
Speaker 1: diabetic trying to lower blood sugar and stuff like that.

894
00:48:25,080 --> 00:48:27,480
Speaker 1: And it's also great for weight loss because if people

895
00:48:28,040 --> 00:48:31,680
Speaker 1: are really obese and have to lose a significant amount

896
00:48:31,719 --> 00:48:34,920
Speaker 1: of weight, you know, fifty pounds, one hundred pounds, whatever.

897
00:48:35,000 --> 00:48:37,840
Speaker 1: I think it's great. I just think, of course, with anything,

898
00:48:37,880 --> 00:48:39,719
Speaker 1: it's going to get abused. Like I want to fit

899
00:48:39,719 --> 00:48:42,040
Speaker 1: in my genes better next weekend, should I start taking

900
00:48:42,040 --> 00:48:46,360
Speaker 1: ozempic Like that's just kind of ridiculous in my opinion. Okay,

901
00:48:46,440 --> 00:48:49,040
Speaker 1: this next case is really cool. It's like one of

902
00:48:49,040 --> 00:48:52,279
Speaker 1: my favorite things ever since I went to school for

903
00:48:52,360 --> 00:48:57,760
Speaker 1: pathology is anomalies and congenital anomalies, which means that you're

904
00:48:57,800 --> 00:49:01,800
Speaker 1: born with some kind of a variation in your organ

905
00:49:01,880 --> 00:49:05,279
Speaker 1: that's not really normal, and it happened when you were developing,

906
00:49:05,360 --> 00:49:08,919
Speaker 1: but it's really rare, and whenever I used to find

907
00:49:08,960 --> 00:49:11,279
Speaker 1: them an autopsy, I would get super excited because it's

908
00:49:11,280 --> 00:49:13,360
Speaker 1: like you do autopsy if they're autopsy, and you just

909
00:49:13,440 --> 00:49:15,800
Speaker 1: keep seeing normal anatomy, and then all of a sudden

910
00:49:16,480 --> 00:49:19,160
Speaker 1: you find like a cool horseshoe kidney or something, and

911
00:49:19,200 --> 00:49:21,719
Speaker 1: it's it's it's I don't know, it's just like the

912
00:49:21,760 --> 00:49:24,960
Speaker 1: dork in me gets excited by about that. But this

913
00:49:25,000 --> 00:49:28,440
Speaker 1: woman had a condition called uterine didelphis, which is born

914
00:49:28,480 --> 00:49:33,520
Speaker 1: with a double uterus. So when a female's developing as

915
00:49:33,800 --> 00:49:35,880
Speaker 1: and we're talking about like when you're a fetus inside

916
00:49:35,880 --> 00:49:38,760
Speaker 1: of your mom, you have these two ducks that start

917
00:49:38,840 --> 00:49:44,080
Speaker 1: forming the female genital track and they eventually merge together

918
00:49:44,200 --> 00:49:48,480
Speaker 1: to make your uterus. And most of us have one

919
00:49:48,600 --> 00:49:52,520
Speaker 1: uterus and that's it and everything's cool. But sometimes any

920
00:49:52,640 --> 00:49:56,040
Speaker 1: point along the way, those two tubes don't merge together.

921
00:49:56,920 --> 00:49:59,560
Speaker 1: And when they don't merge together, you can get two

922
00:49:59,640 --> 00:50:01,960
Speaker 1: different sides of the uterus, So you could have a

923
00:50:02,040 --> 00:50:06,000
Speaker 1: uterus that's kind of split down the middle, or you

924
00:50:06,040 --> 00:50:07,960
Speaker 1: can go all the way to the other extreme where

925
00:50:08,000 --> 00:50:13,239
Speaker 1: you have two separate uterus uteri and two separate cervix

926
00:50:14,200 --> 00:50:18,839
Speaker 1: I think it's cervixes. And so what's really what's really

927
00:50:18,880 --> 00:50:22,040
Speaker 1: cool about this is like if a woman goes to

928
00:50:22,160 --> 00:50:25,680
Speaker 1: the gynecologist, she has to get two pap smears on

929
00:50:25,719 --> 00:50:29,920
Speaker 1: each cervix. So I've gotten pap smears that say cervix

930
00:50:30,000 --> 00:50:35,719
Speaker 1: A and cervix B. She has two periods, and she

931
00:50:35,920 --> 00:50:39,799
Speaker 1: can get pregnant into uteri, which is what happened in

932
00:50:39,840 --> 00:50:42,759
Speaker 1: this case. She's got a baby in each one of

933
00:50:42,760 --> 00:50:47,799
Speaker 1: her uteri. So would the periods sink up, Yeah, they

934
00:50:47,840 --> 00:50:50,959
Speaker 1: probably they probably would sink up, but they probably suck

935
00:50:51,080 --> 00:50:55,160
Speaker 1: because they're probably double is worse, Like these people have

936
00:50:56,680 --> 00:50:59,880
Speaker 1: persistent pelvic pain. If they do get pregnant, they're considered

937
00:51:00,120 --> 00:51:03,240
Speaker 1: high risk pregnancy because they don't have the normal uterine shape.

938
00:51:03,760 --> 00:51:08,279
Speaker 1: They have painful periods of a lot of bleeding. It

939
00:51:08,680 --> 00:51:12,040
Speaker 1: just it depends on how what the variation is. But

940
00:51:12,719 --> 00:51:16,760
Speaker 1: usually usually if you're a teenager or something, you're born,

941
00:51:16,880 --> 00:51:19,080
Speaker 1: you probably wouldn't even know you had it until you

942
00:51:19,600 --> 00:51:23,920
Speaker 1: maybe went to your first gynecologists appointment. And the trickiest

943
00:51:23,960 --> 00:51:28,640
Speaker 1: part is is that when a woman has a double uterus,

944
00:51:28,680 --> 00:51:31,560
Speaker 1: but only it terminates to one cervix only, so it's

945
00:51:31,560 --> 00:51:33,880
Speaker 1: only split at the top. So when you get the

946
00:51:33,880 --> 00:51:36,000
Speaker 1: pap smear done, it looks all normal in there when

947
00:51:36,120 --> 00:51:39,120
Speaker 1: when the gynecologist is looking in there, but then you

948
00:51:39,160 --> 00:51:42,120
Speaker 1: have two uterized. So sometimes it takes like you have

949
00:51:42,160 --> 00:51:44,040
Speaker 1: really bad cramps and you get an ultrasound or you

950
00:51:44,080 --> 00:51:46,080
Speaker 1: get pregnant, and then they're like, oh, wait, you got

951
00:51:46,160 --> 00:51:48,600
Speaker 1: you got two things going on in here, like an

952
00:51:48,600 --> 00:51:53,720
Speaker 1: incidental finding. Yeah, And I was reading that they were saying,

953
00:51:53,800 --> 00:51:57,400
Speaker 1: even if the kids are born hours, days, or weeks apart,

954
00:51:57,480 --> 00:52:00,399
Speaker 1: because of how rare this is, that they would still

955
00:52:00,440 --> 00:52:03,160
Speaker 1: be considered bead. It's really cool. But they're yeah, they're

956
00:52:03,200 --> 00:52:04,839
Speaker 1: just like, well, we don't really know what to call

957
00:52:04,880 --> 00:52:07,480
Speaker 1: it because it's so rare that it happens. And they

958
00:52:07,520 --> 00:52:10,719
Speaker 1: are saying that it's likely that the kids aren't going

959
00:52:10,760 --> 00:52:14,200
Speaker 1: to be born at the same time, because what's really

960
00:52:14,280 --> 00:52:17,400
Speaker 1: nuts is like, yeah, let's say this this woman's having

961
00:52:17,440 --> 00:52:23,040
Speaker 1: sex and she gets pregnant, Well, she has a totally

962
00:52:23,200 --> 00:52:26,360
Speaker 1: functioning like other uterist that she could get pregnant in

963
00:52:26,400 --> 00:52:30,640
Speaker 1: two days later, so it could be you know, it's

964
00:52:30,680 --> 00:52:34,160
Speaker 1: not always going to sync up perfectly, so there's a

965
00:52:34,239 --> 00:52:37,000
Speaker 1: high probability that like one's going to come before the other.

966
00:52:37,160 --> 00:52:41,120
Speaker 1: But I have so many questions, honestly, because I don't

967
00:52:41,200 --> 00:52:43,960
Speaker 1: know if you do go into labor with one and

968
00:52:44,000 --> 00:52:48,319
Speaker 1: it starts contracting, then do they just induce labor for

969
00:52:48,360 --> 00:52:50,560
Speaker 1: the other, so they both happen at the same time?

970
00:52:50,680 --> 00:52:53,520
Speaker 1: Like what what would be the best because I can't

971
00:52:53,560 --> 00:52:56,480
Speaker 1: imagine that one pregnancy's just going to stay there and

972
00:52:56,520 --> 00:53:00,279
Speaker 1: wait to come out a week later, right, Like don't

973
00:53:00,280 --> 00:53:03,160
Speaker 1: you think all of that cramping and trauma would like

974
00:53:03,880 --> 00:53:06,480
Speaker 1: kind of nudge the other one to start happening or something.

975
00:53:06,520 --> 00:53:08,320
Speaker 1: I don't know. I'm just like really curious.

976
00:53:08,440 --> 00:53:12,200
Speaker 3: Well, don't you think that would also like really suck? Yeah,

977
00:53:12,320 --> 00:53:14,520
Speaker 3: giving birth a week apart?

978
00:53:14,719 --> 00:53:18,319
Speaker 1: I think, yeah, yeah, I think that this woman is

979
00:53:18,520 --> 00:53:21,759
Speaker 1: like I think when you have a uterine didelphis, it's

980
00:53:21,840 --> 00:53:25,080
Speaker 1: like your whole entire female genital thing has sucked a

981
00:53:25,120 --> 00:53:28,200
Speaker 1: really long time. That's I think that we could safely

982
00:53:28,239 --> 00:53:31,480
Speaker 1: say that, All right, what about this pet food recall?

983
00:53:32,760 --> 00:53:35,400
Speaker 3: So I was confused at first because it said people

984
00:53:35,440 --> 00:53:37,680
Speaker 3: were getting sick from the pet food, But then I

985
00:53:37,719 --> 00:53:40,280
Speaker 3: saw it was babies, So I was like, were the babies?

986
00:53:40,520 --> 00:53:43,399
Speaker 3: I know, babies probably eat pet food by accident more

987
00:53:43,400 --> 00:53:47,399
Speaker 3: often than not, so uh, it seems like these these

988
00:53:47,840 --> 00:53:51,880
Speaker 3: certain people who are touching or going around maybe touching

989
00:53:52,400 --> 00:53:55,600
Speaker 3: feces or the food itself and then touching their mouths

990
00:53:55,600 --> 00:54:00,200
Speaker 3: of the pets have been getting salmonella outbreaks from these

991
00:54:00,239 --> 00:54:01,280
Speaker 3: certain brands of pets.

992
00:54:01,320 --> 00:54:04,640
Speaker 1: So it's a Victor pet food and it was recalled

993
00:54:04,719 --> 00:54:09,080
Speaker 1: after seven infants got salmonella and six of Now this

994
00:54:09,200 --> 00:54:10,880
Speaker 1: is like really important when I tell you guys this.

995
00:54:11,360 --> 00:54:13,959
Speaker 1: Six of the seven infants were under one years old.

996
00:54:14,800 --> 00:54:17,840
Speaker 1: And the only way is Maria said that these babies

997
00:54:17,840 --> 00:54:21,400
Speaker 1: were getting salmonella was either because they had contact with

998
00:54:21,560 --> 00:54:29,360
Speaker 1: animal or people feces or animal food, dog food, or

999
00:54:30,560 --> 00:54:34,120
Speaker 1: they were just somehow getting this into their mouths. So

1000
00:54:34,480 --> 00:54:39,040
Speaker 1: why was a baby that's under one years old anywhere

1001
00:54:39,080 --> 00:54:44,040
Speaker 1: near dog food or a dog's ass, That's what I

1002
00:54:44,040 --> 00:54:47,759
Speaker 1: want to know. They are saying saliva to but like,

1003
00:54:48,080 --> 00:54:50,759
Speaker 1: really a dog shouldn't I don't know, I personally think

1004
00:54:50,760 --> 00:54:52,840
Speaker 1: a dog shouldn't be getting their saliva all over a

1005
00:54:52,880 --> 00:54:57,400
Speaker 1: baby that's under one years old. So they linked all

1006
00:54:57,440 --> 00:54:59,120
Speaker 1: of them this is what they do. We talk about

1007
00:54:59,120 --> 00:55:01,040
Speaker 1: this all the time, like they figure out. We talked

1008
00:55:01,080 --> 00:55:03,719
Speaker 1: about it last week with the lead poisoning, like they

1009
00:55:03,760 --> 00:55:06,040
Speaker 1: linked it all to like every single person in the

1010
00:55:06,080 --> 00:55:09,280
Speaker 1: house had this dog food. So that's where it came from.

1011
00:55:09,840 --> 00:55:14,839
Speaker 1: And Semonella is like a fecal oral transmission usually and

1012
00:55:16,040 --> 00:55:18,200
Speaker 1: it's it could be really nasty it cause it could

1013
00:55:18,239 --> 00:55:22,800
Speaker 1: cause severe diarrhea and dehydration. It could lead to hospitalization

1014
00:55:22,880 --> 00:55:25,520
Speaker 1: and death. And it's and especially in like little babies

1015
00:55:25,600 --> 00:55:28,120
Speaker 1: like that, it's it's not good for them to have.

1016
00:55:29,880 --> 00:55:32,279
Speaker 1: You had it once before, right, Yeah, I had it

1017
00:55:32,320 --> 00:55:35,399
Speaker 1: in I think I was in seventh grade. I got

1018
00:55:35,440 --> 00:55:39,600
Speaker 1: it because we like made cookie dough in well this

1019
00:55:39,680 --> 00:55:42,280
Speaker 1: is like seventh grade, Nicole, we made we made cookie

1020
00:55:42,320 --> 00:55:46,160
Speaker 1: dough in in class and then you know what was

1021
00:55:46,200 --> 00:55:50,359
Speaker 1: the class called homech We made cookie dough. And then

1022
00:55:50,360 --> 00:55:52,520
Speaker 1: I went home and we had all the ingredients at home.

1023
00:55:52,560 --> 00:55:53,680
Speaker 1: So I was like, oh, I'm going to make that

1024
00:55:53,719 --> 00:55:55,319
Speaker 1: again and I'm gonna eat it because in school they

1025
00:55:55,360 --> 00:55:58,400
Speaker 1: wouldn't let us eat it. And I left it. I

1026
00:55:58,880 --> 00:56:01,040
Speaker 1: like made it on a Friday and like left it

1027
00:56:01,040 --> 00:56:02,920
Speaker 1: in my bedroom and then like went to bed and

1028
00:56:02,960 --> 00:56:05,319
Speaker 1: then woke up the next morning and like ate some more,

1029
00:56:06,080 --> 00:56:11,960
Speaker 1: and there's there there's a lot of talk like obviously

1030
00:56:12,120 --> 00:56:14,000
Speaker 1: you hear that you could get it from raw eggs,

1031
00:56:14,000 --> 00:56:16,160
Speaker 1: but you also can get it from raw flour too,

1032
00:56:16,239 --> 00:56:18,400
Speaker 1: so just like eating cookie though, is kind of just

1033
00:56:18,440 --> 00:56:21,279
Speaker 1: not a good idea. So I don't know exactly what

1034
00:56:21,440 --> 00:56:25,120
Speaker 1: the source of it was, but it it was bad.

1035
00:56:25,239 --> 00:56:26,880
Speaker 1: Like I couldn't go to school for a couple of

1036
00:56:26,960 --> 00:56:29,800
Speaker 1: weeks because I was just like peeing out of my butt. Basically,

1037
00:56:29,840 --> 00:56:33,720
Speaker 1: it was terrible. And then finally after it wasn't going away,

1038
00:56:33,760 --> 00:56:36,640
Speaker 1: the doctor was like, let's check her stool. And that

1039
00:56:36,840 --> 00:56:39,440
Speaker 1: was fun. When mom had to help me collect my poop.

1040
00:56:39,440 --> 00:56:41,960
Speaker 1: When I was like I think I was like twelve

1041
00:56:42,040 --> 00:56:47,120
Speaker 1: or something, she like she bought like one of those

1042
00:56:47,160 --> 00:56:50,040
Speaker 1: like tin cake pans that you get like at the

1043
00:56:50,120 --> 00:56:53,399
Speaker 1: dollar store, and she like put it under my butt

1044
00:56:53,440 --> 00:56:54,840
Speaker 1: and made me go to the bathroom in it. It

1045
00:56:54,880 --> 00:56:58,160
Speaker 1: was hilarious, and I just thought it was so uncomfortable,

1046
00:56:58,200 --> 00:57:00,000
Speaker 1: you know, because that was like beyond the point where

1047
00:57:00,120 --> 00:57:03,240
Speaker 1: my mom was like watching me go to the bathroom.

1048
00:57:03,280 --> 00:57:05,120
Speaker 1: And then I had to like straight up have like

1049
00:57:05,400 --> 00:57:07,319
Speaker 1: colon blow right in front of her. So that was

1050
00:57:08,120 --> 00:57:10,040
Speaker 1: that was fun. But anyway, we brought it to the

1051
00:57:10,120 --> 00:57:13,200
Speaker 1: doctor and I got tested and I think like it

1052
00:57:13,280 --> 00:57:16,400
Speaker 1: went away. I remember I took medications and it went

1053
00:57:16,440 --> 00:57:19,200
Speaker 1: away and then and then I was I was fine,

1054
00:57:19,240 --> 00:57:22,840
Speaker 1: but like I wouldn't recommend it. All right, let's talk

1055
00:57:22,840 --> 00:57:26,360
Speaker 1: about our last case today, which is the eye transplant.

1056
00:57:26,400 --> 00:57:27,280
Speaker 1: This is super cool.

1057
00:57:28,560 --> 00:57:32,520
Speaker 3: Yeah, this is really cool. So this guy that was

1058
00:57:33,160 --> 00:57:36,720
Speaker 3: working for a power line company got into this accident

1059
00:57:36,760 --> 00:57:41,000
Speaker 3: with high voltage power lines. He actually lost his arm

1060
00:57:41,080 --> 00:57:43,760
Speaker 3: from it too, but I guess it blew up in

1061
00:57:43,800 --> 00:57:48,600
Speaker 3: his face, right, so he lost his eye and they

1062
00:57:48,640 --> 00:57:52,360
Speaker 3: have now done the first successful eye transplant and sold.

1063
00:57:52,440 --> 00:57:55,320
Speaker 1: What happens when a person receives like a like a

1064
00:57:55,400 --> 00:57:59,840
Speaker 1: high voltage electric shock, is that it could kill you obviously,

1065
00:58:00,040 --> 00:58:03,920
Speaker 1: cause electrocution and cause your heart to It could affect

1066
00:58:03,960 --> 00:58:06,840
Speaker 1: your heart beat and cause your heart to stop beating.

1067
00:58:06,920 --> 00:58:11,280
Speaker 1: But also your body is a great conductor for electricity

1068
00:58:11,320 --> 00:58:13,800
Speaker 1: because it's made up mostly of water. So what happens

1069
00:58:13,840 --> 00:58:17,120
Speaker 1: is that the current travels through the body, and he

1070
00:58:17,240 --> 00:58:21,680
Speaker 1: lost his arm, he lost his nose, he lost his mouth.

1071
00:58:22,320 --> 00:58:25,520
Speaker 1: He didn't lose his eye at first, but he said

1072
00:58:25,520 --> 00:58:27,640
Speaker 1: that it hurts so bad that he eventually got it

1073
00:58:27,640 --> 00:58:30,480
Speaker 1: taken out, but he had serious burns on his body.

1074
00:58:31,120 --> 00:58:35,520
Speaker 1: And they did this eye transplant, which is kind of

1075
00:58:35,560 --> 00:58:37,760
Speaker 1: the first it's the first one, and it's the first

1076
00:58:37,800 --> 00:58:40,360
Speaker 1: step in like, let's see if we can give someone

1077
00:58:40,400 --> 00:58:44,120
Speaker 1: an eye transplant and have it work to the point

1078
00:58:44,120 --> 00:58:46,800
Speaker 1: where they could see out of it. So as of

1079
00:58:46,920 --> 00:58:50,240
Speaker 1: right now, they actually did like the whole orbit. They

1080
00:58:50,240 --> 00:58:52,480
Speaker 1: didn't just do the eyeball. It seems like they did

1081
00:58:52,480 --> 00:58:55,680
Speaker 1: the bone surrounding the eye and the eye lid as well.

1082
00:58:56,440 --> 00:58:59,960
Speaker 1: So he's healed and it took which is which is

1083
00:59:00,120 --> 00:59:02,760
Speaker 1: the first good step that he didn't reject it, and

1084
00:59:02,840 --> 00:59:04,840
Speaker 1: he said he's starting to get feeling in it. So

1085
00:59:05,040 --> 00:59:07,240
Speaker 1: they're hoping that he'll be able to use the eyelid

1086
00:59:07,880 --> 00:59:11,360
Speaker 1: and use the eye, like they want to see what

1087
00:59:11,440 --> 00:59:12,920
Speaker 1: happens with it. Is he going to be able to

1088
00:59:12,920 --> 00:59:16,120
Speaker 1: start seeing out of it? But they don't. They don't

1089
00:59:16,200 --> 00:59:19,160
Speaker 1: really feel like that's going to happen. They don't feel

1090
00:59:19,200 --> 00:59:22,400
Speaker 1: very confident anyway. But he's they're going to they're going

1091
00:59:22,480 --> 00:59:24,680
Speaker 1: to study him, and I think that I think that

1092
00:59:24,880 --> 00:59:28,479
Speaker 1: it's it's really awesome for like progression with these kinds

1093
00:59:28,480 --> 00:59:29,840
Speaker 1: of things when someone loses enough.

1094
00:59:30,000 --> 00:59:32,920
Speaker 3: Yeah, I think he seemed really positive about it, and

1095
00:59:32,960 --> 00:59:35,520
Speaker 3: he was kind of stoked that his surgery was going

1096
00:59:35,600 --> 00:59:38,800
Speaker 3: to be the stepping stone for this major improvement. I

1097
00:59:38,840 --> 00:59:41,840
Speaker 3: thought it was kind of cool that the new eye

1098
00:59:41,920 --> 00:59:45,040
Speaker 3: is hazel colored when his eyes were blue. So I

1099
00:59:45,080 --> 00:59:47,880
Speaker 3: think when people have two different colored eyes in general,

1100
00:59:47,880 --> 00:59:50,840
Speaker 3: that's one of the coolest things ever. I'm just so

1101
00:59:51,040 --> 00:59:55,080
Speaker 3: fascinated by it. So it's interesting to see that. I

1102
00:59:55,080 --> 00:59:57,320
Speaker 3: don't know, it's like this little detail. Of course, it

1103
00:59:57,400 --> 00:59:59,320
Speaker 3: was like the first thing I thought of, did they

1104
00:59:59,320 --> 01:00:01,600
Speaker 3: try to get this color eye? But obviously that doesn't

1105
01:00:03,080 --> 01:00:06,600
Speaker 3: try to get your site back, and yeah, yeah, but

1106
01:00:06,720 --> 01:00:09,680
Speaker 3: in general, let's say this did take and everything. It's

1107
01:00:09,800 --> 01:00:12,120
Speaker 3: it's a cool story. It's a cool story in general

1108
01:00:12,160 --> 01:00:14,120
Speaker 3: to have two different colored eyes and then to have

1109
01:00:14,160 --> 01:00:19,000
Speaker 3: this incredible surgery journey behind it. He's an awesome guy

1110
01:00:19,080 --> 01:00:21,920
Speaker 3: for being willing to do this and be studied for

1111
01:00:21,960 --> 01:00:23,840
Speaker 3: the rest of his life to see if it took

1112
01:00:23,840 --> 01:00:26,000
Speaker 3: and the improvements they could make in because I.

1113
01:00:25,920 --> 01:00:29,160
Speaker 1: Mean, honestly, like mostly they're thinking that it's going to

1114
01:00:29,160 --> 01:00:32,880
Speaker 1: be a cosmetic thing, and he could have just popped

1115
01:00:33,080 --> 01:00:34,200
Speaker 1: a glass eye in there and.

1116
01:00:34,160 --> 01:00:34,880
Speaker 2: Called it a day.

1117
01:00:34,960 --> 01:00:39,200
Speaker 1: But like he's he's kind of it was worth trying

1118
01:00:39,240 --> 01:00:41,080
Speaker 1: for him, and he's going to be known as like

1119
01:00:41,120 --> 01:00:44,000
Speaker 1: the guy that started this thing, and I think that

1120
01:00:44,000 --> 01:00:48,520
Speaker 1: that's that's really cool. Okay. Our favorite category, as always

1121
01:00:48,560 --> 01:00:49,760
Speaker 1: is other death news.

1122
01:00:51,160 --> 01:00:54,680
Speaker 3: This first story really isn't so shocking to be I

1123
01:00:54,800 --> 01:00:58,160
Speaker 3: feel like this had stab been a lot between medical

1124
01:00:58,200 --> 01:01:01,280
Speaker 3: professionals and just people dealing with vulnerable patients or the

1125
01:01:01,360 --> 01:01:05,520
Speaker 3: diseased in this case, but this coroner in LA has

1126
01:01:05,520 --> 01:01:08,680
Speaker 3: been accused of stealing jewelry off of a deceased person,

1127
01:01:08,760 --> 01:01:10,760
Speaker 3: and then when they started looking into it, they also

1128
01:01:10,800 --> 01:01:13,720
Speaker 3: found some more stuff in his desk that was tied

1129
01:01:13,760 --> 01:01:16,720
Speaker 3: to another deceased person. So now there's a whole investigation

1130
01:01:16,880 --> 01:01:17,760
Speaker 3: going on for this.

1131
01:01:18,000 --> 01:01:21,160
Speaker 1: So the timing of this has kind of insane, actually,

1132
01:01:21,240 --> 01:01:25,320
Speaker 1: because last night my friend was over and she told

1133
01:01:25,360 --> 01:01:27,680
Speaker 1: me that her grandmom just died ninety five years old

1134
01:01:27,680 --> 01:01:30,880
Speaker 1: in a nursing home and all of her jewelry's gone.

1135
01:01:31,200 --> 01:01:33,880
Speaker 1: She was living in a nursing home for years, and

1136
01:01:33,960 --> 01:01:36,760
Speaker 1: her wedding ring's gone, all of her jewelry's gone. And

1137
01:01:36,800 --> 01:01:40,320
Speaker 1: I'm like, well, where is it. They don't know right

1138
01:01:40,360 --> 01:01:44,240
Speaker 1: now where it's at, and that it's just I know

1139
01:01:44,640 --> 01:01:47,439
Speaker 1: because think about like an heirloom or something. And that's

1140
01:01:47,480 --> 01:01:51,840
Speaker 1: the worst part we've had. I had a couple times

1141
01:01:51,880 --> 01:01:54,000
Speaker 1: where I would open a body bag and this is

1142
01:01:54,040 --> 01:01:56,480
Speaker 1: in the hospital, and like a woman would be wearing

1143
01:01:56,520 --> 01:02:00,240
Speaker 1: her wedding ring, and I would be so nervous to

1144
01:02:00,360 --> 01:02:02,680
Speaker 1: even have that thing in my possession because I know

1145
01:02:02,800 --> 01:02:07,320
Speaker 1: that those things are just you can't replace them. So

1146
01:02:07,520 --> 01:02:09,480
Speaker 1: I would take it off immediately and I would put

1147
01:02:09,480 --> 01:02:11,080
Speaker 1: it in a bag, and I would call the funeral

1148
01:02:11,080 --> 01:02:14,520
Speaker 1: director and say, like, I'm putting this in this bag.

1149
01:02:14,560 --> 01:02:16,960
Speaker 1: I'm sticking it in between her legs. Make sure you

1150
01:02:17,040 --> 01:02:19,720
Speaker 1: look for it. I'm calling you to document this right now,

1151
01:02:19,760 --> 01:02:22,480
Speaker 1: because I was like, I don't want this thing to

1152
01:02:22,600 --> 01:02:24,920
Speaker 1: somehow go missing, and I want to let them know

1153
01:02:25,360 --> 01:02:27,280
Speaker 1: because I didn't want to. I don't want to leave

1154
01:02:27,320 --> 01:02:29,920
Speaker 1: it on because I just they get all dirty and

1155
01:02:29,960 --> 01:02:33,360
Speaker 1: stuff ing an autopsy. But I've come across a couple

1156
01:02:33,400 --> 01:02:36,200
Speaker 1: of situations where I've gotten personal belongings like that, and

1157
01:02:36,240 --> 01:02:39,880
Speaker 1: it just makes me really nervous. But yeah, I mean

1158
01:02:40,160 --> 01:02:42,479
Speaker 1: I believe it because like this guy took a gold

1159
01:02:42,560 --> 01:02:44,600
Speaker 1: necklace and a crucifix. You could probably get a couple

1160
01:02:44,720 --> 01:02:47,720
Speaker 1: hundred dollars for that, and he's probably been doing it

1161
01:02:47,760 --> 01:02:49,680
Speaker 1: to a lot of people, which is really messed up.

1162
01:02:50,400 --> 01:02:54,480
Speaker 3: Can you explain the difference between a corner a medical

1163
01:02:54,520 --> 01:02:57,720
Speaker 3: examiner what you do? I feel like there's a lot

1164
01:02:57,720 --> 01:03:01,120
Speaker 3: of confusion and you're often mislabeled a corner when that's

1165
01:03:01,160 --> 01:03:03,400
Speaker 3: not your jog. I think that that could be a

1166
01:03:03,520 --> 01:03:06,720
Speaker 3: topic for another day because it's kind of there's a

1167
01:03:06,760 --> 01:03:07,320
Speaker 3: lot to.

1168
01:03:08,800 --> 01:03:12,960
Speaker 1: Talk about with that. But for in a nutshell, a

1169
01:03:13,040 --> 01:03:17,000
Speaker 1: coroner is an elected position, so it's it's like a

1170
01:03:17,680 --> 01:03:20,760
Speaker 1: you have to elect the coroner, and a corner doesn't

1171
01:03:20,840 --> 01:03:22,800
Speaker 1: have to be a doctor, but they have to have

1172
01:03:23,000 --> 01:03:27,680
Speaker 1: someone under them that will sign death certificates and do autopsies.

1173
01:03:28,480 --> 01:03:33,840
Speaker 1: And a medical examiner is a pathologist, usually a forensic

1174
01:03:33,880 --> 01:03:37,680
Speaker 1: pathologist that you can go get a job and work

1175
01:03:37,720 --> 01:03:41,600
Speaker 1: for the city in that situation. So you'll see like

1176
01:03:41,720 --> 01:03:44,640
Speaker 1: New York and Miami and Philadelphia have medical examiner system,

1177
01:03:44,640 --> 01:03:49,080
Speaker 1: but LA has a coroner system, and there's corner systems

1178
01:03:49,120 --> 01:03:51,880
Speaker 1: all over. There's medical examiner systems all over. It just

1179
01:03:51,920 --> 01:03:54,840
Speaker 1: depends like how it was set up, when the town's

1180
01:03:54,840 --> 01:03:58,440
Speaker 1: first set up and everything. But this is a good

1181
01:03:58,520 --> 01:04:01,640
Speaker 1: question that we could talk about. We could talk about

1182
01:04:01,760 --> 01:04:06,200
Speaker 1: in depth more later and as far as me from

1183
01:04:06,320 --> 01:04:10,800
Speaker 1: my position, like I'm a pathologist assistant. So there are

1184
01:04:10,920 --> 01:04:14,920
Speaker 1: pas that work in medical examiner's offices and coroner's offices,

1185
01:04:14,960 --> 01:04:18,600
Speaker 1: but not not as many as that work in morgs,

1186
01:04:18,680 --> 01:04:21,480
Speaker 1: like in the hospital. So in the hospital, we do

1187
01:04:22,080 --> 01:04:27,040
Speaker 1: medical autopsies or natural deaths, and then when it is

1188
01:04:27,160 --> 01:04:29,600
Speaker 1: anything that's suspicious, whether it's like you don't know if

1189
01:04:29,640 --> 01:04:33,080
Speaker 1: it's a natural death, if it's a suicide, homicide accident,

1190
01:04:33,360 --> 01:04:36,520
Speaker 1: they go to the medical examiner's office or a coroner's

1191
01:04:36,520 --> 01:04:41,040
Speaker 1: office to get the autopsy. I mean, like, there's way

1192
01:04:41,080 --> 01:04:43,840
Speaker 1: more to it, but we could talk about that another

1193
01:04:43,880 --> 01:04:46,240
Speaker 1: day because we don't have another hour here right now.

1194
01:04:46,520 --> 01:04:48,720
Speaker 1: All right, let's a boy this last story because I

1195
01:04:48,720 --> 01:04:50,920
Speaker 1: thought that this was so cool. So one of my

1196
01:04:51,000 --> 01:04:54,000
Speaker 1: favorite tumors of all time is called a terratoma, and

1197
01:04:54,040 --> 01:04:56,600
Speaker 1: the reason it's one of my favorite tumors is because

1198
01:04:56,640 --> 01:05:00,200
Speaker 1: it has teeth and hair in it. And when I

1199
01:05:00,200 --> 01:05:03,000
Speaker 1: first learned about this in school, I just I couldn't

1200
01:05:03,040 --> 01:05:04,680
Speaker 1: believe it. And then when I saw it in real

1201
01:05:04,720 --> 01:05:07,000
Speaker 1: life for the first time, I still couldn't believe it

1202
01:05:07,400 --> 01:05:10,800
Speaker 1: because some of them have like really formed teeth and

1203
01:05:11,680 --> 01:05:14,160
Speaker 1: hair like and it's just the weirdest thing in the

1204
01:05:14,160 --> 01:05:18,880
Speaker 1: world to me. And a lot of times people say, like, well,

1205
01:05:19,120 --> 01:05:21,240
Speaker 1: is it is it like a baby? Is it a

1206
01:05:21,280 --> 01:05:24,320
Speaker 1: deformed baby? And no it's not. You don't need a

1207
01:05:24,360 --> 01:05:28,760
Speaker 1: sperm to make a terotoma tumor, but it's called a

1208
01:05:28,800 --> 01:05:32,120
Speaker 1: germ cell tumor. And germ cells are the cells that

1209
01:05:32,200 --> 01:05:37,600
Speaker 1: like are present in the ovary that will eventually they're

1210
01:05:37,600 --> 01:05:41,080
Speaker 1: a portion that will eventually turn into like human parts

1211
01:05:41,120 --> 01:05:43,800
Speaker 1: when there is a sperm and they and a fetus

1212
01:05:43,880 --> 01:05:48,160
Speaker 1: is created. But if that doesn't happen, those cells are

1213
01:05:48,200 --> 01:05:52,760
Speaker 1: still inside a person without without a sperm, and what

1214
01:05:52,960 --> 01:05:55,840
Speaker 1: happens is a tumor forms out of these cells and

1215
01:05:55,880 --> 01:06:01,880
Speaker 1: it makes this like crazy haphazard tumor that's called a tarotoma,

1216
01:06:01,920 --> 01:06:07,560
Speaker 1: which actually translates to monster. And because it could have

1217
01:06:07,840 --> 01:06:10,960
Speaker 1: pieces of human but it's not considered humans. So you

1218
01:06:11,000 --> 01:06:14,720
Speaker 1: could find hair like I said, teeth like I said, bone,

1219
01:06:15,640 --> 01:06:20,880
Speaker 1: thyroid tissue, brain tissue, fat, and the majority of them

1220
01:06:20,880 --> 01:06:24,400
Speaker 1: that we find are like there's teeth and a lot

1221
01:06:24,400 --> 01:06:28,240
Speaker 1: of them. I've seen hair, and yes, the hair in

1222
01:06:28,280 --> 01:06:33,040
Speaker 1: the terotoma matches the curtains and the carpet, if you

1223
01:06:33,080 --> 01:06:37,760
Speaker 1: know what I mean. So if you have if you're

1224
01:06:37,800 --> 01:06:40,520
Speaker 1: a redhead, then you're gonna have red hair in your tarotoma.

1225
01:06:40,560 --> 01:06:45,880
Speaker 1: It's it's very very interesting. But so anyway, getting back

1226
01:06:45,880 --> 01:06:49,480
Speaker 1: to this other death news story, is that there was

1227
01:06:49,640 --> 01:06:53,360
Speaker 1: a three thousand year old ancient Egyptian body found and

1228
01:06:53,480 --> 01:06:58,720
Speaker 1: inside of the pelvis they found a terotoma in her pelvis.

1229
01:06:58,760 --> 01:07:02,560
Speaker 1: And what's even more interesting about that is that normally,

1230
01:07:02,720 --> 01:07:04,880
Speaker 1: like a tumor is made up of soft tissues, so

1231
01:07:04,880 --> 01:07:07,120
Speaker 1: that would decompose and you wouldn't really know if they

1232
01:07:07,200 --> 01:07:10,360
Speaker 1: had if she just had like a regular ovarian tumor.

1233
01:07:10,840 --> 01:07:13,840
Speaker 1: But because of terotoma is made of teeth and bone,

1234
01:07:13,920 --> 01:07:18,280
Speaker 1: sometimes it like it's gonna last a long time like

1235
01:07:18,320 --> 01:07:20,280
Speaker 1: the bone does. So that's how they were able to

1236
01:07:20,320 --> 01:07:25,520
Speaker 1: determine that she had this terotoma. And she was the

1237
01:07:25,560 --> 01:07:27,720
Speaker 1: way that she was buried. She had a ring on

1238
01:07:27,760 --> 01:07:30,760
Speaker 1: her hand and it said it had the symbol of

1239
01:07:31,080 --> 01:07:35,080
Speaker 1: best I believe is, which is a symbol that's associated

1240
01:07:35,120 --> 01:07:39,800
Speaker 1: with childbirth. Fertility and protection. So chances are like maybe

1241
01:07:39,880 --> 01:07:42,280
Speaker 1: because she had this tumor, she wasn't able to get

1242
01:07:42,280 --> 01:07:45,680
Speaker 1: pregnant or something, and it's just it's just like so

1243
01:07:45,840 --> 01:07:49,560
Speaker 1: cool and interesting. Yeah, it is a really cool story.

1244
01:07:50,280 --> 01:07:54,440
Speaker 1: All right, let's get into our questions from Instagram.

1245
01:07:55,680 --> 01:07:58,880
Speaker 3: Okay, our first question is is there anything you do

1246
01:07:59,080 --> 01:08:01,439
Speaker 3: now to quote repair for when you die?

1247
01:08:01,800 --> 01:08:03,480
Speaker 1: And this is for both of us, So why don't

1248
01:08:03,480 --> 01:08:09,800
Speaker 1: you start off? Yeah, I mean I don't I always

1249
01:08:09,840 --> 01:08:12,000
Speaker 1: say this on my Instagram questions that I don't really

1250
01:08:12,040 --> 01:08:15,320
Speaker 1: care about, Like I just I just don't care where

1251
01:08:15,360 --> 01:08:18,360
Speaker 1: I get buried, what happens to me afterwards. But I

1252
01:08:18,400 --> 01:08:20,920
Speaker 1: do care about my kids being set up. So I

1253
01:08:20,960 --> 01:08:24,640
Speaker 1: have a will. I have very specific instructions like what

1254
01:08:24,800 --> 01:08:28,599
Speaker 1: happens if I die, what happens if Gabe dies, which

1255
01:08:28,640 --> 01:08:31,719
Speaker 1: happens when one of us goes first, Who's in charge

1256
01:08:31,760 --> 01:08:34,680
Speaker 1: of the money, who's in charge of the kids, and

1257
01:08:34,760 --> 01:08:37,120
Speaker 1: who's the backup for that? And then who's the backup

1258
01:08:37,200 --> 01:08:42,679
Speaker 1: for that? What do I have two backups on after Gabe? Right? Yeah,

1259
01:08:42,800 --> 01:08:47,040
Speaker 1: So just to make sure like my kids are squared away,

1260
01:08:47,080 --> 01:08:50,479
Speaker 1: I have everything in writing as far as like when

1261
01:08:50,520 --> 01:08:54,080
Speaker 1: they're gonna get money when they get older. What happens

1262
01:08:54,080 --> 01:08:57,160
Speaker 1: if I die before they're eighteen? That I think that's

1263
01:08:57,200 --> 01:08:59,320
Speaker 1: like the most important thing that people could do is

1264
01:08:59,360 --> 01:09:02,360
Speaker 1: just like have their kids squared away. Because if I

1265
01:09:02,400 --> 01:09:05,080
Speaker 1: didn't have any of that stuff and I just dropped

1266
01:09:05,120 --> 01:09:11,120
Speaker 1: dead now, then it would be like who gets my money? Who? Who?

1267
01:09:11,240 --> 01:09:13,120
Speaker 1: Like is it going to go to the kid's education

1268
01:09:13,720 --> 01:09:16,840
Speaker 1: or where what's happening with everything? There would be so

1269
01:09:16,880 --> 01:09:19,960
Speaker 1: many questions. And now that I have that all in writing,

1270
01:09:20,000 --> 01:09:24,920
Speaker 1: it makes me feel like a lot better. And that's

1271
01:09:25,120 --> 01:09:28,120
Speaker 1: that's like, really it don't I don't have like a

1272
01:09:28,160 --> 01:09:30,840
Speaker 1: funeral plot picked or anything. I just don't. I don't care.

1273
01:09:30,960 --> 01:09:33,519
Speaker 1: Like that's something that Gabe could deal with if he

1274
01:09:33,560 --> 01:09:36,880
Speaker 1: wants to just like pay a thousand bucks and get

1275
01:09:36,880 --> 01:09:38,920
Speaker 1: me some like cheap cremation and keep me in a

1276
01:09:38,960 --> 01:09:41,120
Speaker 1: cardboard box. Like I don't care. I'm cool with that,

1277
01:09:42,400 --> 01:09:44,720
Speaker 1: how about you? Ray? Yeah?

1278
01:09:44,760 --> 01:09:49,320
Speaker 3: And I don't have any paperwork, which I guess I

1279
01:09:49,360 --> 01:09:52,559
Speaker 3: should work on. I have a life insurance policy, so

1280
01:09:53,240 --> 01:09:55,519
Speaker 3: that's I guess one step in the right direction. And

1281
01:09:56,720 --> 01:09:59,280
Speaker 3: I guess my family could do whatever they want to

1282
01:09:59,320 --> 01:10:01,280
Speaker 3: do with me. But I would like to be my

1283
01:10:01,840 --> 01:10:04,559
Speaker 3: cremated and spread in the Smoky Mountains because it's.

1284
01:10:04,479 --> 01:10:08,400
Speaker 1: My favorite place. Ever, so I don't know, I just

1285
01:10:08,479 --> 01:10:10,360
Speaker 1: I don't really have it planned out all that farce,

1286
01:10:11,840 --> 01:10:16,040
Speaker 1: I know. I I think in my in my will,

1287
01:10:16,120 --> 01:10:18,400
Speaker 1: I did write like like it was kind of a

1288
01:10:18,520 --> 01:10:20,720
Speaker 1: joke for Gabe to just like, oh, bring me to

1289
01:10:20,880 --> 01:10:24,080
Speaker 1: chap Equittic off of the coast of Martha's Vineyard and

1290
01:10:24,120 --> 01:10:26,719
Speaker 1: like scatter my ashes, But like he doesn't, he doesn't

1291
01:10:26,760 --> 01:10:29,840
Speaker 1: have to do that, like just like kind of a joke,

1292
01:10:29,960 --> 01:10:32,080
Speaker 1: like if he came across it, he would laugh after

1293
01:10:32,120 --> 01:10:36,439
Speaker 1: I died. That's basically why I wrote that. But I

1294
01:10:36,600 --> 01:10:39,919
Speaker 1: liked the idea of being turned into jewelry or something.

1295
01:10:40,280 --> 01:10:44,240
Speaker 1: I think that's cool that people get necklaces and rings

1296
01:10:44,280 --> 01:10:46,479
Speaker 1: made and stuff. I think that could be cool.

1297
01:10:46,520 --> 01:10:49,599
Speaker 3: But obviously whatever my husband or you or my kids

1298
01:10:49,640 --> 01:10:52,320
Speaker 3: wanted to do in the future. And I think it's

1299
01:10:52,360 --> 01:10:54,639
Speaker 3: one of those things like when I have kids, I'll

1300
01:10:54,680 --> 01:10:57,920
Speaker 3: be more on top of having a will and everything.

1301
01:10:58,000 --> 01:11:01,240
Speaker 3: But right now, and I'm I'm young, so it seems

1302
01:11:01,479 --> 01:11:03,680
Speaker 3: a little premature, but I guess you could really die

1303
01:11:03,680 --> 01:11:06,080
Speaker 3: at any seconds, so it's better to be prepared than not.

1304
01:11:06,400 --> 01:11:08,640
Speaker 1: Yeah, and believe me, I'll be on top of you

1305
01:11:08,680 --> 01:11:10,920
Speaker 1: as soon as you have a kid to get that situated.

1306
01:11:11,800 --> 01:11:16,720
Speaker 1: All right, what's the next question, So does everybody get

1307
01:11:16,720 --> 01:11:20,200
Speaker 1: an autopsy? No, So, getting back on what we were

1308
01:11:20,200 --> 01:11:24,240
Speaker 1: talking about earlier, people die in lots of people die

1309
01:11:24,240 --> 01:11:26,280
Speaker 1: in the hospital every day, believe it or not. Even

1310
01:11:26,320 --> 01:11:30,160
Speaker 1: before COVID people died. It's it's it's absolutely crazy. But

1311
01:11:31,400 --> 01:11:34,479
Speaker 1: let's say, for example, like the hospital that I used

1312
01:11:34,520 --> 01:11:37,560
Speaker 1: to work with was a pretty was a pretty big hospital,

1313
01:11:37,640 --> 01:11:40,960
Speaker 1: and they would say like maybe six people died a

1314
01:11:41,040 --> 01:11:44,360
Speaker 1: day on average. Right, Well, we didn't have six autopsies

1315
01:11:44,360 --> 01:11:47,360
Speaker 1: a day. Because let's say a person has like stage

1316
01:11:47,400 --> 01:11:49,559
Speaker 1: four cancer, they're not going to do an autopsy on

1317
01:11:49,600 --> 01:11:51,920
Speaker 1: them unless the family like really wants it because there's

1318
01:11:51,960 --> 01:11:56,479
Speaker 1: a question. Or sometimes a doctor might be doing like

1319
01:11:56,520 --> 01:12:01,160
Speaker 1: an experimental treatment. Like let's even say this that just

1320
01:12:01,200 --> 01:12:04,240
Speaker 1: got the eye transplant, Like if he died, it might

1321
01:12:04,360 --> 01:12:06,160
Speaker 1: just be like, all right, well, like he had all

1322
01:12:06,160 --> 01:12:08,280
Speaker 1: these burns and he had these injuries, and we know

1323
01:12:08,320 --> 01:12:10,360
Speaker 1: why he died, so we're not going to do an autopsy.

1324
01:12:10,439 --> 01:12:13,440
Speaker 1: But like his doctors might want to do an autopsy

1325
01:12:13,479 --> 01:12:16,920
Speaker 1: to dissect the surgery to see like how it how

1326
01:12:16,960 --> 01:12:18,960
Speaker 1: it worked, how it looked, how it held up, and

1327
01:12:19,000 --> 01:12:23,080
Speaker 1: stuff like that. So the same exact thing happens, especially

1328
01:12:23,120 --> 01:12:26,960
Speaker 1: in teaching institutions too, and in the hospital. A lot

1329
01:12:26,960 --> 01:12:28,880
Speaker 1: of it is driven by the family. Of course, the

1330
01:12:28,960 --> 01:12:31,760
Speaker 1: doctors sometimes really want an autopsy, but like if the

1331
01:12:31,800 --> 01:12:34,960
Speaker 1: family says no, then ultimately it doesn't get done. On

1332
01:12:35,000 --> 01:12:38,160
Speaker 1: the other hand, if it goes to the medical examiner's office,

1333
01:12:39,000 --> 01:12:41,759
Speaker 1: they have legal jurisdiction over the body at that point.

1334
01:12:41,840 --> 01:12:44,519
Speaker 1: So even if you like call scream kick and beg

1335
01:12:44,600 --> 01:12:47,559
Speaker 1: them not to cut your family member like they can

1336
01:12:47,640 --> 01:12:51,960
Speaker 1: if they want, they try, you know, because there's certain

1337
01:12:52,000 --> 01:12:55,599
Speaker 1: religions that like are not cool with the autopsy. So

1338
01:12:55,640 --> 01:12:58,280
Speaker 1: they try to respect as much as they can. But

1339
01:12:58,400 --> 01:13:00,519
Speaker 1: like if someone got murdered and they need to figure

1340
01:13:00,520 --> 01:13:03,919
Speaker 1: it out, like they have to do their job. Sometimes

1341
01:13:03,920 --> 01:13:06,000
Speaker 1: people are just like, I don't want my family member

1342
01:13:06,040 --> 01:13:09,400
Speaker 1: to all the top seed, and they say maybe. Sometimes

1343
01:13:09,439 --> 01:13:11,960
Speaker 1: they would even say like, Okay, well they got shot

1344
01:13:11,960 --> 01:13:14,200
Speaker 1: in the head. That's clear, like what happens, So we're

1345
01:13:14,240 --> 01:13:15,960
Speaker 1: just going to examine the brain and not do the

1346
01:13:15,960 --> 01:13:18,680
Speaker 1: body like they do. Try to accommodate people as much

1347
01:13:18,680 --> 01:13:24,080
Speaker 1: as possible. But and even every single person that goes

1348
01:13:24,120 --> 01:13:27,040
Speaker 1: to a medical examiner's office or a coroner's office doesn't

1349
01:13:27,240 --> 01:13:30,479
Speaker 1: get their body cut. So sometimes they just do an

1350
01:13:30,520 --> 01:13:35,400
Speaker 1: external exam and not an internal exam. Depending like let's

1351
01:13:35,400 --> 01:13:37,439
Speaker 1: say you have this guy that died at home and

1352
01:13:37,520 --> 01:13:39,840
Speaker 1: he's like sixty, and he has a giant scar on

1353
01:13:39,920 --> 01:13:41,760
Speaker 1: his chest and he has a history of having like

1354
01:13:41,840 --> 01:13:46,040
Speaker 1: coronary artery bypass syndrome. They look at him and say like, okay,

1355
01:13:46,080 --> 01:13:48,439
Speaker 1: like there's a high probability this guy had like a

1356
01:13:48,479 --> 01:13:51,360
Speaker 1: cardiac some kind of cardiac event, and then they call

1357
01:13:51,439 --> 01:13:53,920
Speaker 1: his doctor, and his doctor says like, yeah, he was

1358
01:13:53,960 --> 01:13:55,880
Speaker 1: complaining in a chest pain and stuff. All sign the

1359
01:13:55,880 --> 01:14:00,000
Speaker 1: death certificate. So they'll just do they'll do an external exam,

1360
01:14:00,160 --> 01:14:02,519
Speaker 1: but they won't actually have to caut them open because

1361
01:14:03,120 --> 01:14:07,720
Speaker 1: like they already know why he died. Of course, this

1362
01:14:07,880 --> 01:14:12,720
Speaker 1: is the loophole to kill people, because that's how like

1363
01:14:12,960 --> 01:14:15,040
Speaker 1: you wouldn't you wouldn't do an autopsy, and then all

1364
01:14:15,080 --> 01:14:18,479
Speaker 1: of a sudden it's like, oh, like the wife killed

1365
01:14:18,479 --> 01:14:21,120
Speaker 1: them with arsenic or something like that. But for the

1366
01:14:21,160 --> 01:14:25,680
Speaker 1: most part, like the reason that every person's not autopsied

1367
01:14:25,720 --> 01:14:27,760
Speaker 1: is because there's just like not enough people in the

1368
01:14:27,800 --> 01:14:30,040
Speaker 1: world to do it like it's it's it just would

1369
01:14:30,080 --> 01:14:33,920
Speaker 1: be too much. Five or six autopsies a day for

1370
01:14:34,240 --> 01:14:38,840
Speaker 1: one place, like with one PA and one pathol just

1371
01:14:38,920 --> 01:14:39,719
Speaker 1: is a lot.

1372
01:14:40,680 --> 01:14:43,599
Speaker 3: Okay, Well, our last question is did either of us

1373
01:14:43,640 --> 01:14:46,840
Speaker 3: start holiday shopping yet? So?

1374
01:14:47,960 --> 01:14:51,280
Speaker 1: Yeah, I got one thing so far I got. I

1375
01:14:51,720 --> 01:14:55,240
Speaker 1: saw a book, a Stranger Things book in the store

1376
01:14:55,280 --> 01:14:57,479
Speaker 1: we went to yesterday. So that's the only thing that

1377
01:14:57,520 --> 01:15:01,600
Speaker 1: I that I got so far. How about you? What

1378
01:15:01,680 --> 01:15:05,640
Speaker 1: are you getting me? I don't know yet. Oh, and

1379
01:15:05,720 --> 01:15:09,080
Speaker 1: I'm getting you that ring thing probably right that you wanted.

1380
01:15:11,000 --> 01:15:12,960
Speaker 2: Yeah, but the yeah.

1381
01:15:12,920 --> 01:15:14,960
Speaker 1: We won't we won't say it because we're trying to

1382
01:15:14,960 --> 01:15:19,880
Speaker 1: get them to sponsor. But we yeah, people people ask

1383
01:15:19,960 --> 01:15:22,559
Speaker 1: me all the time about certain things that like I

1384
01:15:22,640 --> 01:15:25,719
Speaker 1: really like and stuff. So we started on the website.

1385
01:15:25,760 --> 01:15:28,400
Speaker 1: We started on my favorite things page, which is really

1386
01:15:28,439 --> 01:15:32,280
Speaker 1: cool because it might not have anything to do with medicine,

1387
01:15:32,320 --> 01:15:34,400
Speaker 1: like my favorite stuff that I use in the kitchen

1388
01:15:34,600 --> 01:15:37,599
Speaker 1: or or anything like that, just like fun little stuff

1389
01:15:37,600 --> 01:15:39,519
Speaker 1: that I like to buy and everything. So you could

1390
01:15:39,600 --> 01:15:43,640
Speaker 1: check that out and might help you out with some

1391
01:15:43,720 --> 01:15:46,639
Speaker 1: gift ideas or something, because I'm always like, there's certain

1392
01:15:46,680 --> 01:15:48,559
Speaker 1: times and certain people I'm like, I don't know what

1393
01:15:48,640 --> 01:15:50,680
Speaker 1: to get them. I need some ideas and stuff. So

1394
01:15:51,520 --> 01:15:54,479
Speaker 1: I think I think that that's that's like pretty helpful.

1395
01:15:56,400 --> 01:15:58,080
Speaker 1: Did you get what did you get from me? Yeah?

1396
01:15:58,080 --> 01:16:03,800
Speaker 3: And we also we also have merch. I'm making a

1397
01:16:03,840 --> 01:16:07,000
Speaker 3: lot of gifts this year. I have just mapped out

1398
01:16:07,160 --> 01:16:09,000
Speaker 3: what I'm.

1399
01:16:08,800 --> 01:16:13,280
Speaker 1: Making for you. I think something you'll really like. You'll

1400
01:16:13,320 --> 01:16:14,519
Speaker 1: just have to wait and see.

1401
01:16:14,800 --> 01:16:16,800
Speaker 2: You know, I'm a pretty good gift giver, so.

1402
01:16:16,960 --> 01:16:21,280
Speaker 1: I am too. You have to worry about me. She wait,

1403
01:16:21,360 --> 01:16:24,160
Speaker 1: you need to because you're leaving people hanging now, like,

1404
01:16:24,920 --> 01:16:25,360
Speaker 1: am I not?

1405
01:16:26,800 --> 01:16:30,559
Speaker 3: No, you are, Yeah, I know you're expecting what you're

1406
01:16:30,560 --> 01:16:34,639
Speaker 3: getting me every year. So oh another thing is too,

1407
01:16:35,160 --> 01:16:36,240
Speaker 3: She's pretty good.

1408
01:16:36,960 --> 01:16:41,240
Speaker 1: Let's move Let's move on. So the book is still

1409
01:16:41,360 --> 01:16:43,920
Speaker 1: My book is still for style and it's really really cheap.

1410
01:16:44,080 --> 01:16:46,280
Speaker 1: And then if you really want, you can give someone

1411
01:16:46,280 --> 01:16:49,160
Speaker 1: a signed the copy. So I don't actually sign the book,

1412
01:16:49,160 --> 01:16:50,800
Speaker 1: but I have these book plates that you can get

1413
01:16:50,800 --> 01:16:56,639
Speaker 1: on the website and they come in a cute little card,

1414
01:16:57,000 --> 01:17:00,559
Speaker 1: and we have holiday cards for those two you can

1415
01:17:00,600 --> 01:17:03,080
Speaker 1: get assigned holiday card too. If you really want just

1416
01:17:03,120 --> 01:17:06,599
Speaker 1: a card that that's just writing hey to somebody, especially

1417
01:17:06,600 --> 01:17:09,479
Speaker 1: if someone already has the book, I could just like

1418
01:17:09,520 --> 01:17:13,000
Speaker 1: write them a little message within reason. We've never had

1419
01:17:13,040 --> 01:17:16,519
Speaker 1: to reject anything, but we've had a couple of really

1420
01:17:16,680 --> 01:17:21,640
Speaker 1: weird requests, but but not like not too weird that

1421
01:17:21,720 --> 01:17:24,240
Speaker 1: I'm like, I ain't writing that. It's fine. It's just

1422
01:17:24,280 --> 01:17:26,519
Speaker 1: some of them, I'm like, what does this mean?

1423
01:17:26,680 --> 01:17:29,840
Speaker 3: Like, So, you can get the book plates and the

1424
01:17:29,880 --> 01:17:34,600
Speaker 3: holiday cards on the doormattershop dot com. We also have

1425
01:17:34,840 --> 01:17:39,759
Speaker 3: merch that you can get on bonfire dot com Slash door, slash,

1426
01:17:39,840 --> 01:17:42,559
Speaker 3: the Dora Mater and that's a couple of different designs

1427
01:17:42,600 --> 01:17:45,240
Speaker 3: you can get in T shirts, sweatshirts. I believe there's

1428
01:17:45,280 --> 01:17:49,639
Speaker 3: some third those who get there really good is like

1429
01:17:49,680 --> 01:17:53,680
Speaker 3: writing all your slashes down. Well. I will link all

1430
01:17:53,720 --> 01:17:56,760
Speaker 3: of this in the description of this episode. But furthermore,

1431
01:17:56,960 --> 01:17:59,360
Speaker 3: if you go on the doormatter dot com our website,

1432
01:17:59,640 --> 01:18:01,920
Speaker 3: you can and go to a little tab called shop

1433
01:18:02,080 --> 01:18:05,480
Speaker 3: or book or favorite things. Just scroll around the homepage.

1434
01:18:05,600 --> 01:18:07,800
Speaker 3: Most of them are there and they're in the navigation,

1435
01:18:08,040 --> 01:18:10,679
Speaker 3: so they're on there. But I will to make it

1436
01:18:10,800 --> 01:18:13,160
Speaker 3: easier in one place for everybody. Put them all in

1437
01:18:13,240 --> 01:18:16,960
Speaker 3: the description of this episode. Yeah, I don't, but if

1438
01:18:17,000 --> 01:18:20,240
Speaker 3: you want to ask us any questions, you could check

1439
01:18:20,320 --> 01:18:24,240
Speaker 3: our mother at Mother Nose Death Instagram every Friday and

1440
01:18:24,320 --> 01:18:26,280
Speaker 3: we put up a little question box and you could

1441
01:18:26,320 --> 01:18:29,280
Speaker 3: ask whatever question you want that we will pick an

1442
01:18:29,280 --> 01:18:31,080
Speaker 3: answer on the show every week.

1443
01:18:31,200 --> 01:18:34,040
Speaker 1: Yeah, I still don't know. I really don't even know

1444
01:18:34,080 --> 01:18:36,920
Speaker 1: what I'm getting people. I'm just kind of like recovering

1445
01:18:36,960 --> 01:18:41,880
Speaker 1: from Halloween still and starting to get into holiday stuff.

1446
01:18:41,960 --> 01:18:47,760
Speaker 1: But like it's like November fifteenth, I just it was

1447
01:18:47,840 --> 01:18:49,400
Speaker 1: just Halloween. Like, let's relax.

1448
01:18:49,800 --> 01:18:53,720
Speaker 3: Well, I make I made a list of what I

1449
01:18:53,760 --> 01:18:56,519
Speaker 3: want to buy everybody, and I started because I'm making

1450
01:18:56,640 --> 01:18:58,640
Speaker 3: a lot of the presence. I started making them a

1451
01:18:58,640 --> 01:19:01,559
Speaker 3: couple of weeks ago because the takes time, obviously, and

1452
01:19:01,640 --> 01:19:04,640
Speaker 3: now we're busy people, so I don't just have like

1453
01:19:04,720 --> 01:19:07,000
Speaker 3: twenty hours a day to just sit there and make

1454
01:19:07,040 --> 01:19:09,040
Speaker 3: stuff in craft, even though that would.

1455
01:19:08,800 --> 01:19:10,800
Speaker 2: Be a dream Sunday, I really would.

1456
01:19:12,000 --> 01:19:14,200
Speaker 1: Everybody would like it, all right, guys, Well, thanks so

1457
01:19:14,280 --> 01:19:16,760
Speaker 1: much for joining us today and we'll see you next week.

1458
01:19:19,400 --> 01:19:23,240
Speaker 1: Thank you for listening to Mother Knows Death as a reminder.

1459
01:19:23,439 --> 01:19:27,240
Speaker 1: My training is as a pathologists assistant. I have a

1460
01:19:27,240 --> 01:19:31,599
Speaker 1: master's level education and specialize in anatomy and pathology education.

1461
01:19:32,720 --> 01:19:34,880
Speaker 1: I am not a doctor and I have not diagnosed

1462
01:19:35,000 --> 01:19:38,600
Speaker 1: or treated anyone dead or alive without the assistance of

1463
01:19:38,640 --> 01:19:43,879
Speaker 1: a licensed medical doctor. This show, my website, and social

1464
01:19:43,920 --> 01:19:47,439
Speaker 1: media accounts are designed to educate and inform people based

1465
01:19:47,479 --> 01:19:51,400
Speaker 1: on my experience working in pathology, so they can make

1466
01:19:51,600 --> 01:19:56,280
Speaker 1: healthier decisions regarding their life and well being. Always remember

1467
01:19:56,280 --> 01:19:59,400
Speaker 1: that science is changing every day and the opinions expressed

1468
01:19:59,400 --> 01:20:02,080
Speaker 1: in this episodisode are based on my knowledge of those

1469
01:20:02,120 --> 01:20:05,920
Speaker 1: subjects at the time of publication. If you are having

1470
01:20:05,920 --> 01:20:09,920
Speaker 1: a medical problem, have a medical question, or having a

1471
01:20:09,920 --> 01:20:14,280
Speaker 1: medical emergency, please contact your physician or visit an urgent

1472
01:20:14,320 --> 01:20:19,320
Speaker 1: care center, emergency room, or hospital. Please rate, review, and

1473
01:20:19,400 --> 01:20:23,920
Speaker 1: subscribe to Mother Knows Death on Apple, Spotify, YouTube, or

1474
01:20:23,960 --> 01:20:31,800
Speaker 1: anywhere you get podcasts. Thanks