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

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Speaker 1: Hi everyone walk on The Mother Knows Death. Let's get

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Speaker 1: started with the story of the week.

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Speaker 2: Every week we are presented with the most unbelievable stories,

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Speaker 2: and I'm.

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Speaker 1: Sure it's really true. This is why we're doing this

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Speaker 1: podcast because you just can't believe that all of this

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Speaker 1: stuff is real life. No, you really can't.

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Speaker 2: And you know, I've never worked in an office building,

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Speaker 2: but I'm sure anybody that's worked in an office with

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Speaker 2: cubicles is really going to find this next one truly unbelievable.

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Speaker 2: So this sixty year old woman clocks into her job

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Speaker 2: at a Wells Fargo corporate office on a Friday morning

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Speaker 2: at seven o'clock in the morning, which I'm like, who's

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Speaker 2: going to work that early? She seems like a superstar general,

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Speaker 2: So she goes in that early, goes right to her cubicle.

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Speaker 2: The day goes on as normal, and everybody goes home

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Speaker 2: for the weekend. So Monday morning comes around and everybody

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Speaker 2: comes back into work, and you know, they noticed this

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Speaker 2: weird smell, but they were playing it off the faulty plumbing.

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Speaker 2: So everybody again just goes on with their day and

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Speaker 2: goes home Tuesday, they find her dead at her disk.

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Speaker 1: It's just so unbelievable, right that. I mean, the average

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Speaker 1: person doesn't really know what DCOMP smells like, but most

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Speaker 1: people do know what it smells like because you've most

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Speaker 1: people have had exposure to a piece of meat that

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Speaker 1: was in the trash or just trash outside in general,

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Speaker 1: or even a small animal like a squirrel or a

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Speaker 1: mouse or something that died outside. It's just the smell

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Speaker 1: of decomp has a very specific smell. And I was saying,

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Speaker 1: I was saying this. I think on another episode that

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Speaker 1: we had, we were in the pool out back in

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Speaker 1: the yard and we smelled it. Ricky was actually in

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Speaker 1: the pool and I was like, I keep getting a

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Speaker 1: whiff of DCOMP. There's something I don't know if like

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Speaker 1: the cat killed a mouse or something, but there's some

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Speaker 1: little thing that's decomposing because it just has a very

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Speaker 1: specific smell.

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Speaker 2: Yeah, I mean, you have to imagine, so she's there

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Speaker 2: for four whole days, so you have to imagine on

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Speaker 2: day three that can't smell that great, right, Like what.

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Speaker 1: Part of the country was the sentence?

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Speaker 2: It wasn't Arizona, so it was hot, but you have

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Speaker 2: to think she's in a temperature.

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Speaker 1: Building and still it doesn't matter, like you're there four

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Speaker 1: days decomposing. I mean, it's better than being outside in Arizona, clearly,

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Speaker 1: but I mean you're still gonna still break down in

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Speaker 1: that amount of time.

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Speaker 2: And nobody was like, I'm going to try to track

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Speaker 2: the source of the smell, and then came across her

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Speaker 2: on her desk on Monday morning. So part of the

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Speaker 2: problem was that they were saying a lot of employees

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Speaker 2: were working remotely, so the office wasn't as full as

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Speaker 2: like a normal office building would be. But the employees

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Speaker 2: at the same time said this is completely unacceptable because

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Speaker 2: the building has twenty four hour security. I'm thinking, like

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Speaker 2: they don't have any alert system. That's like this lady

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Speaker 2: clocked in and never clocked out. And I'm not even

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Speaker 2: saying for safety purposes, I'm saying for payment purposes, you're

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Speaker 2: just gonna let somebody run the clock for four days

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Speaker 2: in a row.

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Speaker 1: I don't know. I've worked jobs at some time of

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Speaker 1: my life that I clocked in and I probably forgot

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Speaker 1: to clock out every single day of my life. Like

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Speaker 1: I think that they're probably used to people. I know,

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Speaker 1: you would never do that, but people with my brain

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Speaker 1: do that all the time. So they're used to having

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Speaker 1: employees that clock out and are just like, oh, they

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Speaker 1: are clocked in, and then oh, they forgot the clock out.

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Speaker 1: So I don't think that. I mean, I understand that

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Speaker 1: that would be a way to track somebody, but like

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Speaker 1: that happens all the time, I'm sure.

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Speaker 3: Yeah.

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Speaker 2: And then they said her cubicle was on the third

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Speaker 2: floor of this building and it was off of the

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Speaker 2: main aisle, so I guess nobody really had any reason

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Speaker 2: to go check on her. I just find this really said.

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Speaker 2: You didn't really seem to have any family that reported

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Speaker 2: her missing or anything. And it's kind of sad to

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Speaker 2: think about, You're at your desk all day at work

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Speaker 2: and nobody even comes over to say hi to you.

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Speaker 1: Yeah, it's bad enough that you don't have family that

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Speaker 1: notices that you're missing, but your job doesn't just doesn't

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Speaker 1: even know who you are or know that you're missing

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Speaker 1: for the day. It's just really it's really sad and unfortunate.

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Speaker 3: It really is.

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Speaker 1: And I you know, they said that the company said

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Speaker 1: that they were offering just at least with the employees

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Speaker 1: that were working on that floor, some kind of moral

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Speaker 1: support and some counseling services maybe. But think about this,

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Speaker 1: if you're just a regular person that went to work

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Speaker 1: all day and was smelling a nasty smell and then

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Speaker 1: found out that it was your coworker that was dead,

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Speaker 1: that would be like a little emotionally traumatizing. What you

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Speaker 1: think to know that that's what you were smelling?

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Speaker 2: Yeah, and how My question for you was, so how

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Speaker 2: successful would they be in getting that me out? Like

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Speaker 2: would that take a couple of days a week? Is

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Speaker 2: it immediate once they clean it?

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Speaker 1: It's so she was found dead at her desk, right, Yeah,

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Speaker 1: and it appears that she died from that natural cause

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Speaker 1: is probably there. They'll send her body to the medical

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Speaker 1: examiner do an autopsy to see what happened. But they

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Speaker 1: didn't think that it was anything suspicious. So it just

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Speaker 1: depends how decomposed she really was. I wouldn't think it

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Speaker 1: was really super super bad, just because if she was

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Speaker 1: in air conditioning building. Now do they turn the air

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Speaker 1: off on the weekends because no one's supposed to be there.

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Speaker 1: That's a whole other issue.

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Speaker 3: Oh, I didn't even because about that.

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Speaker 1: Yeah, because they might they might if I mean, air

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Speaker 1: conditioning in Arizona is probably extremely high in an office building,

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Speaker 1: and if you know that nobody's really going to be there,

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Speaker 1: they might turn it turn it down a lot, you

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Speaker 1: know what I mean. I don't know, but regardless, yeah,

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Speaker 1: I mean they can, they can get the smell out.

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Speaker 1: People die, I mean no, but he wants to think

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Speaker 1: about this, But like, people die and decompose in houses

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Speaker 1: and stuff all the time. And it's funny because one

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Speaker 1: time Gabe and I were looking at a house when

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Speaker 1: we were buying our house, and one of the neighbors

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Speaker 1: came up to us, not for our house, but when

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Speaker 1: we were looking at and they were like, you know,

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Speaker 1: he died in there. And I was like, oh, okay,

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Speaker 1: and she was like, no, like his body was dead

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Speaker 1: in there, she was. And I was thinking, like, okay,

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Speaker 1: so I'm going to go in right now and just

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Speaker 1: kind of sniff around and see how like what she

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Speaker 1: was trying to hint at, you know what I mean,

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Speaker 1: Because there's a big difference between like an old person

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Speaker 1: dying with their family and getting picked up by the

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Speaker 1: funeral home right away versus someone that was dead in

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Speaker 1: their house for a week in the dead of summer,

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Speaker 1: you know. Yeah, but they they pull floorboards out, they'll

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Speaker 1: they'll get it clean. There's there's whole entire companies crime

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Speaker 1: scene cleaners, even though it's technically not a crime. But

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Speaker 1: they go and they handle this. They have all these

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Speaker 1: sorts of chemicals and rip out, like I said, the carpet,

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Speaker 1: the floor, They could get it done most of the time.

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Speaker 2: I think, if you're buying a house that's not a

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Speaker 2: completely brand new construction, it's pretty naive to not think

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Speaker 2: at some point that somebody might have died in there,

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Speaker 2: and it doesn't have to be a horrific murder. Like

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Speaker 2: my house was built in the fifties. I know the

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Speaker 2: old lady, and I'm pretty sure her husband died in

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Speaker 2: here too.

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Speaker 1: You just yeah, but every time like this is how

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Speaker 1: I would be. So if I'm going back to work

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Speaker 1: at that job, I would just I would be constantly

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Speaker 1: like like smelling to see if I got any hint

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Speaker 1: of it, because it's a very disturbing smell. I don't

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Speaker 1: I don't really know how to describe it. It doesn't

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Speaker 1: it doesn't quite smell like pea or poop or fish.

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Speaker 1: It's kind of a combination of like just this just

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Speaker 1: this funk, right, yeah, and now these people all have

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Speaker 1: that permanently tattooed in their their nasal memory that this

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Speaker 1: is this is what a dead body smells like. It's

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Speaker 1: just it's it's gross.

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Speaker 2: Really, I mean, honestly, I don't they signed up for

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Speaker 2: an office job, you know. Yeah, And I mean if

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Speaker 2: this happened to me, I feel and like I was

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Speaker 2: there on the day of the discovery and smelled the

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Speaker 2: smell and everything, I feel like I try to work

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Speaker 2: remotely from then on, or at least get moved to

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Speaker 2: another floor.

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Speaker 1: You wouldn't have worked there anyway, because if you had

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Speaker 1: to be there at seven o'clock in the morning, you

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Speaker 1: would already not be a candidate for that job.

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Speaker 3: Seriously, I know.

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Speaker 2: Okay, Celebrity news, Okay, so we did if you listen

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Speaker 2: to audio only, we did a little emergency episode last

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Speaker 2: Friday about this death. So Thursday night, NHL star Johnny

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Speaker 2: Gudroau and his brother were riding bikes. They lived in

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Speaker 2: Salem County, New Jersey, which is only about forty minutes

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Speaker 2: from where we live. So their sister was set to

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Speaker 2: get married on Friday, and they were in their hometown,

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Speaker 2: just you know, doing family activities, celebrating this awesome occasion

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Speaker 2: that was supposed to happen. So they were riding their

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Speaker 2: bicycles on this road, and like most normal people that

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Speaker 2: were driving a car, they were you know, going off

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Speaker 2: to the side a little bit to give them some

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Speaker 2: room to ride their bicycles. So this guy that admitted

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Speaker 2: later that he was drunk driving came up behind the

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Speaker 2: suv that was in the middle of the road and

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Speaker 2: illegally went to go pass on the side and smacked

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Speaker 2: into both of them and killed them.

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Speaker 1: How many times are we going to report this? I

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Speaker 1: have like a particular distaste for drunk drivers, And didn't

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Speaker 1: we just have a story a couple of weeks ago

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Speaker 1: about a similar situation where a drunk driver drove into

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Speaker 1: an al salon and killed a bunch of people. And

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Speaker 1: it was some woman who had just gotten married and

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Speaker 1: was getting ready to go to her friend's wedding or

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Speaker 1: something like that.

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Speaker 2: Had that And then let's not forget the horrific story

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Speaker 2: of the couple that had just been married and they

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Speaker 2: were on a golf cart and a drunk driver hit

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Speaker 2: them as well.

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Speaker 3: It's horrific.

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Speaker 1: Yeah, think this when you hear stories like this, you

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Speaker 1: just can't even fathom how a family could ever heal

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Speaker 1: from something like this. It's just so tragic on so

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Speaker 1: many different levels. And to think that, I mean, you

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Speaker 1: recently got married, and it's like there's so much chaos

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Speaker 1: surrounding the days leading up to that anyway, and just

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Speaker 1: to think that something could happen right before that would

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Speaker 1: just ruin, like really ruin that moment for you. You

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Speaker 1: talk about most people that say their wedding got ruined,

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Speaker 1: it's like, oh, it rained or something, right, Yeah, I mean,

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Speaker 1: I mean this is it's terrible. And the parents and

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Speaker 1: the sister, it's just they do they have another sibling too?

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Speaker 1: That was her only siblings. I think it was her

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Speaker 1: only siblings.

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Speaker 2: It's like, to think about it, You're supposed to have

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Speaker 2: this awesome day where you're getting married to the love

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Speaker 2: of your life and then both of your brothers are

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Speaker 2: killed in one shot and it was a totally preventable death.

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Speaker 2: That has to be heartbreaking. I was even saying, like,

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Speaker 2: as a mother, how do you even heal from something

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Speaker 2: like this?

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Speaker 1: I don't know. Anytime you lose a child, it just

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Speaker 1: must be the most terrible thing. Ever, The thing is, though,

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Speaker 1: is that this guy, the most fucked up part of

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Speaker 1: this entire story is that this guy is like a

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Speaker 1: drug and alcohol counselor. He works at a drug and

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Speaker 1: alcohol rehab center.

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Speaker 3: Yeah. So the guy Sean Higgens.

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Speaker 1: It's it's just so it's so crazy, right, No, it

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Speaker 1: really is, because and it's one of those things where

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Speaker 1: I wonder, I'm just speculating here.

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Speaker 2: I wonder if he had known issues in the past

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Speaker 2: and that's what caused him to work at the rehab facility,

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Speaker 2: because I know a lot of people that are in

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Speaker 2: recovery tend to go work as counselors or as sponsors

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Speaker 2: in AA or something, you know.

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Speaker 3: So I'm wondering if he.

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Speaker 1: Well, this definitely was not his first time.

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Speaker 2: No, it definitely wasn't. I mean, when he got pulled over,

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Speaker 2: he admitted to the police that he had five to

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Speaker 2: six beers before getting in the car, and that he

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Speaker 2: was also drinking while driving.

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Speaker 1: Yeah, so he's got a serious problem.

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Speaker 2: And my thinking process behind it is, and again I'm

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Speaker 2: just speculating, is that you know, if you're admitting you

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Speaker 2: had five to six beers, you probably had ten or more.

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Speaker 3: Oh yeah, I.

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Speaker 1: Think, and they'll be I mean, they'll be able to

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Speaker 1: They're gonna do all these tests and stuff and figure

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Speaker 1: it out. It doesn't matter, like five to six is

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Speaker 1: just too much anyway. Then you know, there's all these

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Speaker 1: statistics too that when a person drunk drinks and drives

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Speaker 1: and gets pulled over for it or has an accident

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Speaker 1: or something like this, it's estimated that they have probably

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Speaker 1: drank eighty times more than that and this is the

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Speaker 1: first time they kind of got caught doing it, and

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Speaker 1: something you need to keep in mind. And this is

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Speaker 1: just for all the listeners too, Like when there's a

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Speaker 1: person that's drinking and driving, there's always another person that

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Speaker 1: knows that they're drinking and driving. Yes, when you're when

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Speaker 1: you're with someone that drinks that much, you know you're

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Speaker 1: you're ignoring it if it's happening, because you could smell

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Speaker 1: it coming through people's pores when they drink a lot,

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Speaker 1: like they come home. If they come home and they

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Speaker 1: smell like alcohol, they shouldn't have been driving. And sometimes

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Speaker 1: it's the responsibility of like friends and families and loved

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Speaker 1: ones around to be like, you can't do this, not

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Speaker 1: just to not hurt yourself, but to hurt other people,

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Speaker 1: because imagine being this. This guy's married and has at

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Speaker 1: least one kiddie, right, or maybe even more children, Like,

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Speaker 1: how does his wife feel right now knowing that now

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Speaker 1: he's probably going to jail, The children aren't going to

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Speaker 1: have a dad. She's gonna have to raise the case.

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Speaker 3: Now is probably going to jail.

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Speaker 2: He is going to jail, Like that's he's already admitted

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Speaker 2: he was under the influence.

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Speaker 1: Yeah, but listen, that doesn't mean anything. You have to

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Speaker 1: wait until he gets prosecuted and everything. But you know,

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Speaker 1: it's just And imagine being the wife just of this

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Speaker 1: and knowing that you your husband has induced this onto

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Speaker 1: another family, You know what I mean. It's it's terrible,

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Speaker 1: but it's almost your responsibility when you have an alcoholic

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Speaker 1: person around you to really speak up and and and

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Speaker 1: try to get them help.

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Speaker 2: Well, I'm just I'm just saying, in defense of her,

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Speaker 2: even if she knew he had drinking problems and everything,

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Speaker 2: there's really only so much control you could have over it.

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Speaker 1: I'm not saying I'm not trying to say it's her fault.

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Speaker 1: I'm just saying that because like, yeah, you don't have

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Speaker 1: control over other people. But I think a lot of

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Speaker 1: people kind of think they turned a blind eye to it.

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Speaker 1: They don't think that the person that they're with has

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Speaker 1: a problem. And sometimes people will go get help if

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Speaker 1: you put pressure on them and you really put it

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Speaker 1: in their face rather than ignoring that it happens. Because

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Speaker 1: where was he drinking all these beers? He left and

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Speaker 1: got in the car somewhere like yeah, which is a

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Speaker 1: whole thing because if you're at a bar, technically like

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Speaker 1: should you ever be leaving and driving a tie?

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Speaker 2: Oh, and if he did leave a bar, the bartender

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Speaker 2: could get in trouble for over serving that person, But

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Speaker 2: that information hasn't come out. Like, we don't know at

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Speaker 2: this time whether he was drinking at his house and

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Speaker 2: then went for a drive or drinking at a friend's house,

304
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Speaker 2: or he was out at a bar or a restaurant

305
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Speaker 2: or something, so we don't know that yet. He also

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Speaker 2: worked for the New Jersey National Guard, so that's not

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Speaker 2: a good look either, And the rehabit has said he's

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Speaker 2: been placed on leave. For now, I'm going to assume

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Speaker 2: that he's getting fired because this is already a horrific Well, girls,

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Speaker 2: I thought that that was messed up too. I'm like,

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Speaker 2: the dude, the dude works for you. And he said

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Speaker 2: he was drinking. He said it.

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Speaker 1: Two of the police officers that he was drinking. Fire him.

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Speaker 1: That's it, Like you already know he admitted it. It doesn't

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Speaker 1: matter what happens, what comes out of this. Listen, Like

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Speaker 1: the guy was in the service. I don't know if

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Speaker 1: he was in war or anything. He might have PTSD

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Speaker 1: and have all of these reasons for drinking, okay, but

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Speaker 1: like it's it's not an excuse. It's just not like

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Speaker 1: he could get help and do whatever he needs to do.

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Speaker 1: But like, do you think that this family gives a

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Speaker 1: fuck about any of this? No, No, I wouldn't. Sorry,

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Speaker 1: And it's so much.

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Speaker 2: More layered than you know. The sister even getting married.

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Speaker 2: The brother Matthew that got killed, his wife was expecting a.

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Speaker 1: Baby and I believe it was their first baby. And yeah,

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Speaker 1: it's it's it is, It's like it. And and then

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Speaker 1: the parents have lost three of their or two of

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Speaker 1: three of their children and they have to deal with that.

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Speaker 1: And now they have these two wives that are left

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Speaker 1: over with grandchildren that don't have a dad anymore. It's

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Speaker 1: just it's it's terrible.

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Speaker 2: Yeah, and you know, this guy with Johnny who was

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Speaker 2: killed was super beloved in the NHL community. He was

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Speaker 2: this huge figure. He just signed this massive contract last

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Speaker 2: year for eighty million dollars for the next couple of years.

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Speaker 2: So that's been this huge thing. And it's like, you know,

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Speaker 2: you have to think professionally. Him and his wife are

339
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Speaker 2: probably like, this is an awesome accomplishment. He'd been working

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Speaker 2: his whole life to work in the NHL and then

341
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Speaker 2: this awful tragedy occurs and it's just horrific.

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Speaker 3: And I did. I thought it was awesome.

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Speaker 2: I'm in the sports community that like all the baseball

344
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Speaker 2: teams were honoring them. Every you know, sports announcer mentioned it.

345
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Speaker 2: As they kept reading details about it, I was getting progressively

346
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Speaker 2: more and more sick to my stomach just thinking of like,

347
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Speaker 2: our family being in this situation and how absolutely horrible

348
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Speaker 2: it is. So the the guy Sean Higgins that was arrested,

349
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Speaker 2: he has a detention hearing scheduled for today, which is

350
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Speaker 2: where they're going to determine if he's going to stay

351
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Speaker 2: in jail awaiting his trial or if he's going to

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Speaker 2: be able to go home. In between which.

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Speaker 1: Yeah, he shouldn't.

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Speaker 3: Yeah, I don't.

355
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Speaker 1: I don't think he should. You don't get this. You

356
00:17:31,880 --> 00:17:34,600
Speaker 1: don't get to deserve to like to be with your

357
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Speaker 1: kids and everything when these guys can't be with their kids.

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Speaker 2: Sorry, because let me let me point this out too. So, like,

359
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Speaker 2: let's say he's able to go home in between the

360
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Speaker 2: Penning trial. That could be a couple of years before

361
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Speaker 2: this litigation goes through, and then you know, he now

362
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Speaker 2: killed two people. What is to stop him from drinking

363
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Speaker 2: and driving again, trying to dull the pain killings?

364
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Speaker 1: They'll tell the people, Yeah, because they'll tell him not

365
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Speaker 1: to and he'll listen, because that's how life works, right.

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Speaker 2: I see somebody like this as a danger to societies

367
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Speaker 2: at this point, exactly. I don't think he should be

368
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Speaker 2: allowed out, but that's just my opinion. Okay, let's move

369
00:18:09,680 --> 00:18:14,560
Speaker 2: on to something a little bit less depressing. Okay, Gary Coleman,

370
00:18:14,600 --> 00:18:17,320
Speaker 2: do you know who he is? I know he was

371
00:18:17,400 --> 00:18:20,880
Speaker 2: in Different Strokes, but that's pretty much the only knowledge

372
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Speaker 2: I have of him. Do you like, did you ever

373
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Speaker 2: even see Different Strokes was on reruns or anything. It's

374
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Speaker 2: kind of an older show. I feel like it was

375
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Speaker 2: on reruns maybe it was on when I was a kid.

376
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Speaker 1: I don't know, but I don't.

377
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Speaker 2: Think I ever watched an episode of it. But I

378
00:18:36,320 --> 00:18:41,000
Speaker 2: watch a lot of like TV history documentaries and stuff

379
00:18:41,000 --> 00:18:43,400
Speaker 2: and they always talk about it, but like, I don't

380
00:18:43,440 --> 00:18:46,240
Speaker 2: I never watched it, but like I'm familiar with what

381
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Speaker 2: it is.

382
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Speaker 1: Kind of yes, So for those of you who don't know,

383
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Speaker 1: he was on the show called Different Strokes, and he

384
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Speaker 1: was very unique in appearance because he almost had a

385
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Speaker 1: child like look even though he was an adult. And

386
00:19:03,560 --> 00:19:07,280
Speaker 1: the reason is is because when he was a little kid,

387
00:19:07,720 --> 00:19:11,119
Speaker 1: so he was adopted by his parents, and when he

388
00:19:11,160 --> 00:19:14,119
Speaker 1: was a kid, around two years old, he started not

389
00:19:14,280 --> 00:19:17,439
Speaker 1: feeling well and then they his parents took him to

390
00:19:17,480 --> 00:19:19,679
Speaker 1: the doctor and they found out that he was having

391
00:19:20,160 --> 00:19:23,040
Speaker 1: kidney failure and he was diagnosed with something called vocal

392
00:19:23,080 --> 00:19:29,720
Speaker 1: segmental glomer sclerosis, which is the glomerli are a group

393
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Speaker 1: of cells. It's a structure that's within the kidney and

394
00:19:32,440 --> 00:19:35,879
Speaker 1: that helps filter out all of the waste that is

395
00:19:35,920 --> 00:19:38,520
Speaker 1: in our blood. And what happens is that these glomerli

396
00:19:38,640 --> 00:19:42,959
Speaker 1: gets scarred up and the kidney's no longer able to function.

397
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Speaker 1: So he went on for a little while with this condition.

398
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Speaker 1: But then when he was five, he had to get

399
00:19:49,560 --> 00:19:53,199
Speaker 1: a kidney transplant, and his mom said, he got the

400
00:19:53,280 --> 00:19:56,800
Speaker 1: kidney transplant, and he was like jumping around two weeks later,

401
00:19:56,840 --> 00:19:59,640
Speaker 1: because that's what happens when kids get surgery, even such

402
00:19:59,640 --> 00:20:03,399
Speaker 1: a serious surgery like that. So when you get a

403
00:20:03,440 --> 00:20:06,639
Speaker 1: kidney transplant, you have to take drugs so your body

404
00:20:06,680 --> 00:20:10,640
Speaker 1: doesn't reject it, especially when you're very young. Your immune

405
00:20:10,680 --> 00:20:14,320
Speaker 1: system is awesome and it recognizes this kidney as foreign

406
00:20:14,359 --> 00:20:16,679
Speaker 1: and it tries to attack it. So they give you

407
00:20:16,800 --> 00:20:20,600
Speaker 1: drugs to try to make your body not reject the kidney,

408
00:20:21,000 --> 00:20:22,959
Speaker 1: and it worked well for him. He had it for

409
00:20:23,000 --> 00:20:25,520
Speaker 1: a very long time until he was seventeen years old.

410
00:20:25,920 --> 00:20:29,760
Speaker 1: But the drugs caused him two different things. One of it,

411
00:20:29,760 --> 00:20:32,359
Speaker 1: it caused him to stunt his growth, so he only

412
00:20:32,440 --> 00:20:34,880
Speaker 1: grew as a full size adult at four foot eight,

413
00:20:34,960 --> 00:20:39,119
Speaker 1: which is very short, especially for a man. And he

414
00:20:39,240 --> 00:20:42,240
Speaker 1: also had this look of he got these really big

415
00:20:42,320 --> 00:20:45,439
Speaker 1: chubby cheeks as a result of the medication too, so

416
00:20:45,520 --> 00:20:49,239
Speaker 1: he just had this very cute, like boyish look that

417
00:20:49,480 --> 00:20:53,200
Speaker 1: but that was also part of his of him being

418
00:20:53,200 --> 00:20:57,000
Speaker 1: an actor and very recognizable in this show and funny

419
00:20:57,080 --> 00:20:59,040
Speaker 1: and everything like that. So that's a little bit of

420
00:20:59,040 --> 00:20:59,960
Speaker 1: the background on him.

421
00:21:00,400 --> 00:21:04,400
Speaker 2: Yeah, So Peacock recently released the documentary, so they're kind

422
00:21:04,440 --> 00:21:08,440
Speaker 2: of talking about this his issues with kidneys, and they

423
00:21:08,520 --> 00:21:11,080
Speaker 2: revealed that he had been living without one for twenty

424
00:21:11,119 --> 00:21:13,800
Speaker 2: five years, or without any right.

425
00:21:14,320 --> 00:21:18,880
Speaker 1: Yeah, So you can't live without a kidney, you can't.

426
00:21:19,160 --> 00:21:22,240
Speaker 1: So if you don't have a kidney inside your body

427
00:21:22,280 --> 00:21:25,000
Speaker 1: that works for you, you have to do something that's

428
00:21:25,040 --> 00:21:29,520
Speaker 1: called hemodialysis, and you have to go get an artificial

429
00:21:29,600 --> 00:21:33,000
Speaker 1: kidney to do the work for you. So for so,

430
00:21:33,160 --> 00:21:36,480
Speaker 1: when the kidney failed, the one that he got transplanted,

431
00:21:36,560 --> 00:21:40,160
Speaker 1: he decided that he was going to get hemodialysis, which

432
00:21:40,160 --> 00:21:42,600
Speaker 1: he ended up doing for twenty five years of his life.

433
00:21:42,600 --> 00:21:45,760
Speaker 1: But it's it's a commitment. You have to go get

434
00:21:45,800 --> 00:21:48,439
Speaker 1: it done three or four times a week for a

435
00:21:48,480 --> 00:21:52,120
Speaker 1: couple hours each time. And what happens is they hook

436
00:21:52,200 --> 00:21:55,119
Speaker 1: you up to a machine and it takes the blood

437
00:21:55,200 --> 00:21:57,480
Speaker 1: out of your body and cleans it or takes all

438
00:21:57,520 --> 00:22:00,000
Speaker 1: of the toxins, it filters it, and then it puts

439
00:22:00,080 --> 00:22:04,920
Speaker 1: the blood back into your body. And it's it's a lot,

440
00:22:05,119 --> 00:22:07,360
Speaker 1: you know what I mean, And it's it's really cool though,

441
00:22:07,400 --> 00:22:10,800
Speaker 1: that that the technology could do that, because if he

442
00:22:10,920 --> 00:22:13,480
Speaker 1: was born before this was available, like he would have

443
00:22:13,680 --> 00:22:15,959
Speaker 1: he would have died right after not being able to

444
00:22:16,000 --> 00:22:18,399
Speaker 1: have a kidney. I don't know why they didn't decide

445
00:22:18,480 --> 00:22:21,760
Speaker 1: to do another transplant. There might be a reason why

446
00:22:21,760 --> 00:22:25,399
Speaker 1: they decided not to. Maybe he wasn't a candidate for

447
00:22:25,480 --> 00:22:26,720
Speaker 1: it anymore.

448
00:22:26,240 --> 00:22:26,400
Speaker 2: But.

449
00:22:27,840 --> 00:22:29,200
Speaker 1: Uh, it's it's pretty cool.

450
00:22:29,440 --> 00:22:31,159
Speaker 2: Yeah, And I feel bad because they were saying in

451
00:22:31,200 --> 00:22:33,919
Speaker 2: this article too about the documentary that his father was

452
00:22:34,080 --> 00:22:37,720
Speaker 2: very unsympathetic to his condition and he was often really

453
00:22:37,800 --> 00:22:40,200
Speaker 2: sick on set, and then his dad would be yelling

454
00:22:40,200 --> 00:22:42,399
Speaker 2: at him to like get his shit together because people

455
00:22:42,400 --> 00:22:45,000
Speaker 2: were depending on him when he was, you know, suffering

456
00:22:45,040 --> 00:22:47,199
Speaker 2: with this and dealing with this all the time. So

457
00:22:47,840 --> 00:22:49,000
Speaker 2: that's really unfortunate.

458
00:22:49,160 --> 00:22:51,880
Speaker 1: Yeah, that's a bummer, and that this is his this

459
00:22:51,960 --> 00:22:54,800
Speaker 1: is his adoptive father, I guess. And one thing I

460
00:22:54,880 --> 00:22:57,000
Speaker 1: want to say about this condition is that there are

461
00:22:57,280 --> 00:22:59,880
Speaker 1: different ways you can get this condition. So you can

462
00:23:00,080 --> 00:23:03,359
Speaker 1: get it just like, oh it just sporadically happens, or

463
00:23:03,400 --> 00:23:06,040
Speaker 1: you could get it from being drug induced, like something

464
00:23:06,040 --> 00:23:10,000
Speaker 1: could damage the kidney. But oftentimes it's also genetic, so

465
00:23:10,240 --> 00:23:13,399
Speaker 1: you can get it from a family member, and sometimes

466
00:23:13,440 --> 00:23:15,840
Speaker 1: when you adopt a child, and especially if you don't

467
00:23:15,880 --> 00:23:18,680
Speaker 1: have any history of where they came from, it could

468
00:23:18,680 --> 00:23:20,560
Speaker 1: be it could have been passed down to him.

469
00:23:21,359 --> 00:23:23,760
Speaker 2: Yeah, I think I don't know if you feel this way,

470
00:23:23,800 --> 00:23:25,400
Speaker 2: but I feel like this would be a good dissection

471
00:23:25,480 --> 00:23:27,639
Speaker 2: to do on the website because there's a lot behind

472
00:23:27,680 --> 00:23:29,359
Speaker 2: the story. And then he did end up dying in

473
00:23:29,359 --> 00:23:33,359
Speaker 2: twenty ten, so yeah, and he was young. He was

474
00:23:33,359 --> 00:23:35,359
Speaker 2: forty two when he died, and I do want to

475
00:23:35,359 --> 00:23:38,600
Speaker 2: write about it because he ended up getting heart surgery,

476
00:23:38,640 --> 00:23:40,960
Speaker 2: which I kind of would like to dive deeper into that.

477
00:23:41,000 --> 00:23:44,639
Speaker 2: I don't know exactly what happened with him, but he

478
00:23:44,760 --> 00:23:47,000
Speaker 2: ended up getting pneumonia, and then he ended up having

479
00:23:47,040 --> 00:23:49,919
Speaker 2: seizures and falling, and he died as a result of

480
00:23:49,960 --> 00:23:50,359
Speaker 2: a fall.

481
00:23:50,440 --> 00:23:56,280
Speaker 1: Actually, So it is interesting, especially to see somebody that

482
00:23:56,320 --> 00:23:58,840
Speaker 1: you know on TV and then know behind the scenes

483
00:23:58,840 --> 00:24:01,200
Speaker 1: that they were really battling with this health thing. I mean,

484
00:24:01,640 --> 00:24:04,600
Speaker 1: I imagine just your life right now, having to schedule

485
00:24:04,640 --> 00:24:06,240
Speaker 1: three or four days a week that you have to

486
00:24:06,280 --> 00:24:09,440
Speaker 1: go sit somewhere for a couple hours just to stay alive. Yeah,

487
00:24:09,480 --> 00:24:11,399
Speaker 1: I mean, I have a lot of free time right

488
00:24:11,400 --> 00:24:13,280
Speaker 1: now because they don't have kids or anything. And I

489
00:24:13,320 --> 00:24:17,440
Speaker 1: can't even fathom scheduling something like that into my daily life. Yeah,

490
00:24:17,480 --> 00:24:21,200
Speaker 1: and so many people do it every day, especially people

491
00:24:21,280 --> 00:24:23,880
Speaker 1: who are waiting for a kidney transplant. Like, you have

492
00:24:23,960 --> 00:24:26,399
Speaker 1: to do it, there's no choice. You can't live without it.

493
00:24:26,440 --> 00:24:28,960
Speaker 2: And he's lucky he had the resources to do it

494
00:24:28,960 --> 00:24:31,360
Speaker 2: with being on the show and having the money and everything.

495
00:24:31,440 --> 00:24:35,800
Speaker 1: So well, he kind of was the show. Yeah, like

496
00:24:36,080 --> 00:24:38,840
Speaker 1: there were other you know, there were other actors on

497
00:24:38,880 --> 00:24:42,399
Speaker 1: the show, but like he was, he was the show,

498
00:24:42,560 --> 00:24:43,959
Speaker 1: you know what I mean, Like it wouldn't have been

499
00:24:44,000 --> 00:24:44,840
Speaker 1: the show without him.

500
00:24:44,880 --> 00:24:47,439
Speaker 2: So they have to kind of, you know, do a

501
00:24:47,440 --> 00:24:49,439
Speaker 2: little for him. All right, let's get on to the

502
00:24:49,480 --> 00:24:53,400
Speaker 2: next one. Elle McPherson, the supermodel, has recently come out

503
00:24:53,440 --> 00:24:56,239
Speaker 2: to say that she's in remission after being diagnosed with

504
00:24:56,280 --> 00:24:58,040
Speaker 2: breast cancer seven years ago.

505
00:24:59,119 --> 00:24:59,320
Speaker 3: Yeah.

506
00:24:59,359 --> 00:25:02,840
Speaker 1: So she So what happened was she had breast cancer

507
00:25:03,440 --> 00:25:07,800
Speaker 1: and her doctors, along with multiple other people that she

508
00:25:08,800 --> 00:25:13,320
Speaker 1: had gotten a consult from, said that they recommended that

509
00:25:13,359 --> 00:25:18,560
Speaker 1: she get a mestectomy and get localized radiation and get chemotherapy.

510
00:25:19,320 --> 00:25:23,200
Speaker 1: So she decided she didn't want to do that. She

511
00:25:23,840 --> 00:25:26,520
Speaker 1: said that she wanted to take like a holistic approach,

512
00:25:26,640 --> 00:25:28,840
Speaker 1: and she decided she wasn't going to do it. She

513
00:25:28,880 --> 00:25:31,320
Speaker 1: said her family was not really okay with it. The

514
00:25:31,359 --> 00:25:35,119
Speaker 1: doctor said that that she shouldn't do it, but she

515
00:25:35,240 --> 00:25:38,880
Speaker 1: did it anyway. And and now she's been seven years.

516
00:25:39,200 --> 00:25:41,600
Speaker 1: What she says is in remission.

517
00:25:41,760 --> 00:25:43,960
Speaker 2: And I do believe she did get a lumpack to

518
00:25:44,000 --> 00:25:46,399
Speaker 2: me right when she got diagnosed, but they wanted her

519
00:25:46,440 --> 00:25:48,520
Speaker 2: to go further with it, and she just would not

520
00:25:48,680 --> 00:25:52,639
Speaker 2: do it. And you know that there are doctors saying

521
00:25:52,680 --> 00:25:54,720
Speaker 2: that this is awesome, that this worked for her, but

522
00:25:54,800 --> 00:25:57,399
Speaker 2: at the same time they're like, these holistic treatments are

523
00:25:57,400 --> 00:26:01,320
Speaker 2: supposed to compliment other cancer treatments that have been proven

524
00:26:01,400 --> 00:26:04,040
Speaker 2: to work, not be in place of them. So there

525
00:26:04,080 --> 00:26:05,840
Speaker 2: definitely is hesitance with it.

526
00:26:06,000 --> 00:26:10,399
Speaker 1: And I I personally don't think it's awesome, and I

527
00:26:10,440 --> 00:26:12,920
Speaker 1: don't think that she should be saying this stuff because

528
00:26:12,960 --> 00:26:16,880
Speaker 1: people might listen to her. And I mean, she could

529
00:26:16,880 --> 00:26:20,600
Speaker 1: do whatever she wants to do, but I wouldn't be

530
00:26:21,880 --> 00:26:24,720
Speaker 1: if I were her, Like, I wouldn't say that she's

531
00:26:24,760 --> 00:26:27,480
Speaker 1: out of the woods yet. Yeah, And that's the breast

532
00:26:27,520 --> 00:26:32,600
Speaker 1: cancer especially it gets like breast cancer, like it usually

533
00:26:32,640 --> 00:26:35,639
Speaker 1: returns within five years, but I've seen cases of it

534
00:26:35,840 --> 00:26:38,680
Speaker 1: just like pop in its ugly head twenty five years

535
00:26:38,720 --> 00:26:42,520
Speaker 1: after the fact, like in someone's bones twenty five years

536
00:26:42,560 --> 00:26:47,000
Speaker 1: after they've had a surgery for it. The word remission

537
00:26:47,280 --> 00:26:49,240
Speaker 1: is a lot of times I hear I still hear

538
00:26:49,320 --> 00:26:52,840
Speaker 1: people saying this that like, oh, I'm cancer free, and

539
00:26:53,840 --> 00:26:57,520
Speaker 1: this is how cancer works, like once she had invasive

540
00:26:57,600 --> 00:27:01,639
Speaker 1: breast cancer, which means that the that the tumor cells

541
00:27:01,640 --> 00:27:05,760
Speaker 1: have had access to your blood vessels and your lymphatics.

542
00:27:06,320 --> 00:27:10,560
Speaker 1: Once that those tumor cells get into a blood vessel

543
00:27:11,119 --> 00:27:14,480
Speaker 1: or a lymphatic, they can travel around your entire body.

544
00:27:14,880 --> 00:27:18,000
Speaker 1: So even if they take the tumor itself out, which

545
00:27:18,040 --> 00:27:22,600
Speaker 1: is what she had done, they're still circulating tumor cells

546
00:27:22,680 --> 00:27:25,800
Speaker 1: in the body, right, which is why they advise you,

547
00:27:26,160 --> 00:27:28,159
Speaker 1: even though it doesn't look like you have cancer in

548
00:27:28,160 --> 00:27:32,000
Speaker 1: your lymphos or anything, they advise you to get chemotherapy

549
00:27:32,520 --> 00:27:37,439
Speaker 1: to kill those circulating tumor cells. Right. And because she

550
00:27:37,640 --> 00:27:41,480
Speaker 1: didn't do that, there's a higher risk that they might

551
00:27:41,640 --> 00:27:46,080
Speaker 1: set up shop at a later date. There's totally the

552
00:27:46,119 --> 00:27:50,960
Speaker 1: possibility that her immune system recognized those circulating tumor cells

553
00:27:51,000 --> 00:27:54,560
Speaker 1: and killed them off, and she'll be fine. But the

554
00:27:54,560 --> 00:27:57,280
Speaker 1: way breast cancer works, and that's why they tell you

555
00:27:57,359 --> 00:27:59,080
Speaker 1: to do it, Like, they're not going to tell you

556
00:27:59,119 --> 00:28:01,480
Speaker 1: to put chemo in your if you don't really need it.

557
00:28:01,520 --> 00:28:05,120
Speaker 1: They're trying to prevent that from happening. All right, let's

558
00:28:05,160 --> 00:28:07,360
Speaker 1: get on the freak accidents.

559
00:28:07,119 --> 00:28:09,880
Speaker 2: In Mississippi over the weekend. The bus going from Atlanta

560
00:28:09,920 --> 00:28:12,280
Speaker 2: to Dallas had run off the road just after one

561
00:28:12,320 --> 00:28:14,520
Speaker 2: am local time and ended up running.

562
00:28:14,280 --> 00:28:15,000
Speaker 3: Into a ditch.

563
00:28:15,400 --> 00:28:18,320
Speaker 2: So apparently a tire failure had caused this bus to

564
00:28:18,359 --> 00:28:21,719
Speaker 2: lose control, and when the bus crashed, it ejected several

565
00:28:21,760 --> 00:28:24,480
Speaker 2: people and trapped others where it had landed in the ditch,

566
00:28:24,520 --> 00:28:27,720
Speaker 2: which made it really difficult for first responders to get

567
00:28:27,760 --> 00:28:28,880
Speaker 2: everybody out quickly.

568
00:28:30,119 --> 00:28:33,440
Speaker 1: Yeah, this is just this is just an unfortunate thing.

569
00:28:33,520 --> 00:28:36,879
Speaker 1: I think something the tire, something happened with the tire,

570
00:28:36,960 --> 00:28:40,720
Speaker 1: but I don't know if it was really anyone's fault. Obviously,

571
00:28:40,760 --> 00:28:43,680
Speaker 1: if there's negligence involved, you want to mention that, but

572
00:28:44,480 --> 00:28:47,080
Speaker 1: I don't even know if they know. Now it's just terrible.

573
00:28:47,120 --> 00:28:51,480
Speaker 1: We have another situation where two children were killed a

574
00:28:51,520 --> 00:28:56,480
Speaker 1: brother and sister like just and see I mean imagine

575
00:28:56,760 --> 00:28:58,840
Speaker 1: there was probably a family member on the bus with

576
00:28:58,880 --> 00:29:03,720
Speaker 1: them maybe or something when it happened. Who knows. But yeah,

577
00:29:03,720 --> 00:29:07,200
Speaker 1: I don't. I don't like buses, like I I was thinking,

578
00:29:07,280 --> 00:29:09,840
Speaker 1: because my kids can't get a bus to school, and

579
00:29:09,880 --> 00:29:11,360
Speaker 1: I hate it because I have to bring them to

580
00:29:11,400 --> 00:29:13,360
Speaker 1: school every day and pick them up, which is kind

581
00:29:13,360 --> 00:29:16,120
Speaker 1: of just a lot. But then when I hear things

582
00:29:16,160 --> 00:29:17,720
Speaker 1: like this, I'm kind of like, you know what, I

583
00:29:17,800 --> 00:29:20,920
Speaker 1: like that I'm in more control of them being belted

584
00:29:21,000 --> 00:29:22,840
Speaker 1: in a safer car and stuff like that.

585
00:29:22,960 --> 00:29:23,200
Speaker 3: Yeah.

586
00:29:23,240 --> 00:29:26,680
Speaker 2: So as a result, six people died, which was including

587
00:29:26,720 --> 00:29:28,960
Speaker 2: a sixteen year old and her six year old brother,

588
00:29:29,080 --> 00:29:31,960
Speaker 2: and then thirty seven people were sent to the hospital

589
00:29:32,000 --> 00:29:35,520
Speaker 2: with injuries, which is insane. People seven people may have died,

590
00:29:35,560 --> 00:29:36,120
Speaker 2: excuse me.

591
00:29:36,280 --> 00:29:40,240
Speaker 1: So yeah, So I mean seven people dying and one

592
00:29:40,320 --> 00:29:42,160
Speaker 1: accident is a lot.

593
00:29:42,280 --> 00:29:43,520
Speaker 3: Yeah, that's a lot.

594
00:29:44,080 --> 00:29:47,720
Speaker 1: But I guess on buses, there's I mean, school buses

595
00:29:47,760 --> 00:29:50,160
Speaker 1: have seatbelts now, I think for the most part, but

596
00:29:50,200 --> 00:29:52,960
Speaker 1: like a regular bus doesn't. If that was just a trial,

597
00:29:53,080 --> 00:29:55,360
Speaker 1: what was it? What was the bus like a travel bus?

598
00:29:55,360 --> 00:29:58,000
Speaker 2: It looked like yeah, it was like it was equivalent

599
00:29:58,040 --> 00:30:01,040
Speaker 2: to what a greyhound bus will. I think all these

600
00:30:01,080 --> 00:30:04,920
Speaker 2: buses do have seatbelts, but I just don't think most

601
00:30:04,920 --> 00:30:05,800
Speaker 2: people use them.

602
00:30:06,000 --> 00:30:06,960
Speaker 1: Yeah, I get that.

603
00:30:07,760 --> 00:30:10,480
Speaker 2: So this next story is out of Anna Arbor. So

604
00:30:10,560 --> 00:30:13,640
Speaker 2: a twenty year old man was sleeping on railroad tracks, which,

605
00:30:14,560 --> 00:30:16,560
Speaker 2: what are you doing? That's totally unsafe?

606
00:30:16,560 --> 00:30:17,160
Speaker 3: I remember that?

607
00:30:17,280 --> 00:30:18,520
Speaker 1: Is that something people do?

608
00:30:18,880 --> 00:30:20,640
Speaker 2: I don't know, but I remember when I was a

609
00:30:20,680 --> 00:30:23,200
Speaker 2: teenager we had railroad tracks near our house and you

610
00:30:23,320 --> 00:30:25,080
Speaker 2: freaked out on me if I even told you I

611
00:30:25,160 --> 00:30:26,280
Speaker 2: was like walking near them?

612
00:30:26,920 --> 00:30:29,640
Speaker 1: But would why would you go near them? I mean,

613
00:30:30,040 --> 00:30:30,960
Speaker 1: I understand that.

614
00:30:31,080 --> 00:30:33,240
Speaker 3: Take artsy pics of my like if.

615
00:30:33,080 --> 00:30:37,240
Speaker 1: You're in if you're walking on the tracks and there's

616
00:30:37,320 --> 00:30:41,600
Speaker 1: woods and on either side it's just woods. I understand

617
00:30:41,640 --> 00:30:43,640
Speaker 1: that people want to walk on it because it's usually

618
00:30:43,720 --> 00:30:46,440
Speaker 1: flat and there's rocks and it's easier to walk on it.

619
00:30:47,000 --> 00:30:49,800
Speaker 1: But okay, fine, I could understand that, but why would

620
00:30:49,800 --> 00:30:51,720
Speaker 1: you Why would you be like, oh, this is where

621
00:30:51,760 --> 00:30:53,320
Speaker 1: I'm going to take an app. I mean, this just

622
00:30:53,320 --> 00:30:55,760
Speaker 1: doesn't even make any sense. Was the guy high or something?

623
00:30:55,920 --> 00:30:58,560
Speaker 1: I don't know, So, I mean I hope So that's

624
00:30:58,600 --> 00:31:00,320
Speaker 1: all I got to say, is I hope there was

625
00:31:00,440 --> 00:31:01,400
Speaker 1: some kind of reason.

626
00:31:01,440 --> 00:31:04,240
Speaker 2: It certainly wasn't a good choice. But around nine point

627
00:31:04,240 --> 00:31:06,680
Speaker 2: thirty that night he was struck by a slow moving

628
00:31:06,720 --> 00:31:09,440
Speaker 2: freight train, which, thank goodness, it was a slow moving one.

629
00:31:09,520 --> 00:31:11,680
Speaker 2: Not that that one wasn't doing damage, but at least

630
00:31:11,680 --> 00:31:14,520
Speaker 2: it wasn't going super fast. But then his left hand

631
00:31:14,680 --> 00:31:17,479
Speaker 2: got entangled in the rear axle of the train, so

632
00:31:17,560 --> 00:31:21,239
Speaker 2: like the back tire essentially of the train. And they

633
00:31:21,240 --> 00:31:23,800
Speaker 2: said it was pinned between the wheel, the wheel axle

634
00:31:23,840 --> 00:31:24,680
Speaker 2: and weird.

635
00:31:24,960 --> 00:31:29,560
Speaker 3: Oh my god, here.

636
00:31:29,400 --> 00:31:30,800
Speaker 1: We go, Marius.

637
00:31:31,040 --> 00:31:34,440
Speaker 2: Oh my god, it was pinned between the wheel axle

638
00:31:34,560 --> 00:31:37,360
Speaker 2: and where gear. I cannot read I see. I was

639
00:31:37,400 --> 00:31:39,520
Speaker 2: telling Louis the other day, how I.

640
00:31:39,480 --> 00:31:43,840
Speaker 3: Can read wheel gear? No, it said the quote, no

641
00:31:44,040 --> 00:31:44,720
Speaker 3: where gear?

642
00:31:45,400 --> 00:31:48,160
Speaker 1: Yeah, that's not right. It's it's the axle in the

643
00:31:48,160 --> 00:31:52,520
Speaker 1: wheel gear. Anyway, it doesn't matter. His hand got stuck

644
00:31:52,520 --> 00:31:55,840
Speaker 1: in the train and they couldn't The first responders were

645
00:31:55,880 --> 00:31:58,760
Speaker 1: having a hard time getting it out, and they had

646
00:31:58,960 --> 00:32:02,239
Speaker 1: someone come, They had the flight crew come, and they

647
00:32:02,240 --> 00:32:04,480
Speaker 1: were like, we have to be prepared to do a

648
00:32:04,600 --> 00:32:05,720
Speaker 1: field amputation.

649
00:32:05,880 --> 00:32:06,600
Speaker 3: Well, what is that?

650
00:32:07,360 --> 00:32:10,280
Speaker 1: Which is so? Do you remember there was a case

651
00:32:10,440 --> 00:32:13,040
Speaker 1: in my book, actually, I don't know if you guys know.

652
00:32:13,120 --> 00:32:15,480
Speaker 1: I have a book called Nicole An Jemmy's Anatomy, But

653
00:32:15,600 --> 00:32:19,680
Speaker 1: underneath of the chapter of extremity, I have a case

654
00:32:19,720 --> 00:32:21,640
Speaker 1: of a twenty year old girl who was in a

655
00:32:21,760 --> 00:32:25,360
Speaker 1: car accident with her boyfriend and the car rolled over

656
00:32:25,600 --> 00:32:28,000
Speaker 1: and her hand and her arm got pinned in the

657
00:32:28,040 --> 00:32:31,920
Speaker 1: sun roof and they actually had to amputate her arm

658
00:32:32,120 --> 00:32:34,840
Speaker 1: at the scene because they couldn't get her out good,

659
00:32:35,280 --> 00:32:38,120
Speaker 1: I know. And the picture in the book is crazy

660
00:32:38,160 --> 00:32:40,320
Speaker 1: because it shows what her arm looked like when they

661
00:32:40,360 --> 00:32:42,920
Speaker 1: cut it off. But they had determined that the scene

662
00:32:42,960 --> 00:32:47,720
Speaker 1: that her arm wasn't going to be viable, and they

663
00:32:47,840 --> 00:32:49,480
Speaker 1: just they were like, we have to cut it off

664
00:32:49,520 --> 00:32:51,640
Speaker 1: because we can't get you out, and they have to

665
00:32:51,640 --> 00:32:55,400
Speaker 1: do that sometimes it's just so crazy. And luckily they

666
00:32:55,440 --> 00:32:59,240
Speaker 1: were able to get the guy's hand out. But I mean,

667
00:32:59,280 --> 00:33:02,000
Speaker 1: you're not gonna letbody stay there and die, right, so

668
00:33:02,080 --> 00:33:03,600
Speaker 1: you just have to do what you gotta do.

669
00:33:03,760 --> 00:33:06,680
Speaker 2: No, And it took two hours to get the hand out.

670
00:33:06,760 --> 00:33:09,760
Speaker 1: Yeah, and I'm sure they probably ended up amputating it

671
00:33:09,800 --> 00:33:13,280
Speaker 1: anyway if it was that mangled, But like that's always better.

672
00:33:13,320 --> 00:33:16,040
Speaker 1: Down at the hospital when you know, you could be

673
00:33:16,160 --> 00:33:19,719
Speaker 1: completely knocked out and not have any idea that that's happening, right,

674
00:33:19,760 --> 00:33:24,280
Speaker 1: But yeah, I can't. I just don't know why he

675
00:33:24,400 --> 00:33:27,440
Speaker 1: was sleeping on a train track. I will never never

676
00:33:27,520 --> 00:33:31,200
Speaker 1: understand that. But yeah, I have no idea like this

677
00:33:30,960 --> 00:33:34,040
Speaker 1: is this is like, just don't sleep on the train track.

678
00:33:34,080 --> 00:33:43,520
Speaker 1: And this probably won't happen to you.

679
00:33:43,520 --> 00:33:46,040
Speaker 2: Guys, it's PSL season, and not in the way you're

680
00:33:46,080 --> 00:33:49,640
Speaker 2: thinking it's Starbucks or Dunkin. We're talking about stink Bomb.

681
00:33:50,720 --> 00:33:53,600
Speaker 1: I love pumpkin smell, and stink bomb has it and

682
00:33:53,800 --> 00:33:55,719
Speaker 1: it for you For those of you who don't know,

683
00:33:55,720 --> 00:33:58,080
Speaker 1: stink bomb is this awesome. It comes in this little,

684
00:33:58,120 --> 00:34:02,200
Speaker 1: tiny chapstick container and you could put it underneath of

685
00:34:02,240 --> 00:34:07,120
Speaker 1: your nose to avoid smelling anything horrific. So I'm pretty

686
00:34:07,120 --> 00:34:10,920
Speaker 1: sure some Wells Fargo employees might be using stink Bomb

687
00:34:10,920 --> 00:34:13,120
Speaker 1: because they're scared to death that they're going to smell

688
00:34:13,200 --> 00:34:15,800
Speaker 1: another one of their coworkers decomposing at work.

689
00:34:16,400 --> 00:34:18,680
Speaker 2: Yeah, I mean, that's the first thing I was thinking

690
00:34:18,719 --> 00:34:21,400
Speaker 2: of of. Even if I was smelling anything horrific, I

691
00:34:21,400 --> 00:34:22,920
Speaker 2: would just like to have it in my desh for

692
00:34:23,320 --> 00:34:26,279
Speaker 2: just you know, for any reason. Yeah, not assuming your

693
00:34:26,320 --> 00:34:29,440
Speaker 2: coworkers decomposing in the cubicle next to you, which just

694
00:34:29,480 --> 00:34:30,840
Speaker 2: for any potential smell.

695
00:34:31,400 --> 00:34:32,160
Speaker 1: Oh my god.

696
00:34:32,280 --> 00:34:35,240
Speaker 2: So you guys can head over to Stinkbomb odor blocker

697
00:34:35,320 --> 00:34:38,600
Speaker 2: dot com and use code mk D fifteen for fifteen

698
00:34:38,640 --> 00:34:42,160
Speaker 2: percent off all products. They have this delicious pumpkin one.

699
00:34:42,160 --> 00:34:44,880
Speaker 2: They have an awesome coffee one. I personally think I'm

700
00:34:44,920 --> 00:34:47,200
Speaker 2: gonna combine them to make my own version of a

701
00:34:47,200 --> 00:34:50,560
Speaker 2: Little PSL. And they also have awesome ones. You know,

702
00:34:51,280 --> 00:34:53,600
Speaker 2: Christmas is coming up, so they have an evergreen one

703
00:34:53,640 --> 00:34:55,760
Speaker 2: that is truly the best scent.

704
00:34:55,680 --> 00:34:56,280
Speaker 1: In the world.

705
00:34:56,520 --> 00:34:59,399
Speaker 2: It really is lavender and everything like that. So head

706
00:34:59,440 --> 00:35:02,879
Speaker 2: over to st bob ooderblocker dot com for more. This

707
00:35:02,960 --> 00:35:05,600
Speaker 2: episode is also brought to you by Nicole and Jemmy's

708
00:35:05,600 --> 00:35:09,160
Speaker 2: Anatomy book. Since I was just talking about my book,

709
00:35:09,200 --> 00:35:11,040
Speaker 2: I'm going to show it to you for those watching

710
00:35:11,200 --> 00:35:15,959
Speaker 2: on YouTube. This book I wrote a couple years ago,

711
00:35:16,200 --> 00:35:19,719
Speaker 2: and the idea was that people were following me on

712
00:35:19,760 --> 00:35:23,680
Speaker 2: Instagram and always messaging me about different things that happen

713
00:35:23,760 --> 00:35:26,719
Speaker 2: in different organ systems, and Instagram was so difficult to

714
00:35:26,920 --> 00:35:29,880
Speaker 2: just search and find certain cases so I thought it

715
00:35:29,920 --> 00:35:32,439
Speaker 2: would be cool if I made a book that went

716
00:35:32,480 --> 00:35:35,360
Speaker 2: through every single organ system and then all the different

717
00:35:35,440 --> 00:35:37,960
Speaker 2: kinds of pathologies that could happen in all of the

718
00:35:38,000 --> 00:35:42,080
Speaker 2: different organ systems. So we had over one hundred people

719
00:35:42,160 --> 00:35:46,520
Speaker 2: contribute to this book, and it's so it's all personal stories.

720
00:35:46,560 --> 00:35:49,600
Speaker 2: I interviewed every single person and just asked them what

721
00:35:49,640 --> 00:35:52,840
Speaker 2: their experience was dealing with this pathology, and they also

722
00:35:52,880 --> 00:35:56,200
Speaker 2: submitted their photos and there's just some really cool cases,

723
00:35:56,239 --> 00:35:58,600
Speaker 2: like the one I was just talking about of the

724
00:35:58,640 --> 00:36:01,239
Speaker 2: woman who had to have her own amputated at the

725
00:36:01,280 --> 00:36:01,960
Speaker 2: scene of.

726
00:36:01,840 --> 00:36:02,680
Speaker 1: A car accident.

727
00:36:03,080 --> 00:36:05,400
Speaker 2: Yeah, so the book is really awesome. It's a perfect

728
00:36:05,400 --> 00:36:07,920
Speaker 2: little coffee table book. A lot of my friends just

729
00:36:08,000 --> 00:36:09,960
Speaker 2: have it, you know, laying on their end tables or

730
00:36:10,000 --> 00:36:12,880
Speaker 2: coffee tables, and then when people come over for parties,

731
00:36:12,880 --> 00:36:15,000
Speaker 2: they're like, oh, what's this cute little book and they

732
00:36:15,040 --> 00:36:18,520
Speaker 2: open it and are totally surprised by what's going on inside.

733
00:36:18,520 --> 00:36:21,560
Speaker 2: But ultimately everybody ends up liking it. So if you

734
00:36:21,640 --> 00:36:23,640
Speaker 2: want more info on that, you could look up Nicole

735
00:36:23,760 --> 00:36:26,880
Speaker 2: and Jimmy's Anatomy Book anywhere that sells books, or you

736
00:36:26,920 --> 00:36:29,960
Speaker 2: could head over to our website. The doramater dot com

737
00:36:30,000 --> 00:36:32,720
Speaker 2: slash book for more info and to get a little

738
00:36:33,040 --> 00:36:34,239
Speaker 2: signed book plate by you.

739
00:36:35,120 --> 00:36:39,840
Speaker 1: Yes, all right, let's get started with true crime.

740
00:36:40,400 --> 00:36:43,080
Speaker 2: A five point thirty am on Monday, four people were

741
00:36:43,120 --> 00:36:45,799
Speaker 2: sleeping on a commuter train in Chicago when a man

742
00:36:45,880 --> 00:36:48,000
Speaker 2: suddenly went up to them and killed them.

743
00:36:49,200 --> 00:36:51,560
Speaker 1: I when I first heard this story, you know, I

744
00:36:51,560 --> 00:36:55,680
Speaker 1: always kind of justify certain things, like, Okay, did a

745
00:36:55,719 --> 00:36:57,680
Speaker 1: guy just go on a train and kill four people

746
00:36:57,680 --> 00:37:01,280
Speaker 1: because he had beef with them? Or was it random?

747
00:37:01,520 --> 00:37:03,799
Speaker 1: And this could happen to anybody kind of thing, right,

748
00:37:03,840 --> 00:37:07,560
Speaker 1: And this case seems to be like it was random.

749
00:37:07,719 --> 00:37:11,000
Speaker 1: People were sleeping in different train cars, right and yeah,

750
00:37:11,040 --> 00:37:13,359
Speaker 1: so police said they were all seated apart from each other,

751
00:37:13,440 --> 00:37:16,480
Speaker 1: between two different trains. So the guy just went around

752
00:37:16,480 --> 00:37:18,960
Speaker 1: and started firing shots at them. Two of the victims

753
00:37:18,960 --> 00:37:20,719
Speaker 1: were shot in the head, while the other two were

754
00:37:20,719 --> 00:37:25,640
Speaker 1: shot multiple times. They also don't believe from surveillance footage

755
00:37:25,680 --> 00:37:27,839
Speaker 1: that he was trying to rob them or anything. They

756
00:37:27,880 --> 00:37:31,560
Speaker 1: think he just went up to them and killed them. Yeah, Like,

757
00:37:31,640 --> 00:37:34,719
Speaker 1: what is the deal with this? And that's what's scary

758
00:37:34,719 --> 00:37:36,160
Speaker 1: because he had a little gun. He had a nine

759
00:37:36,200 --> 00:37:38,880
Speaker 1: millimeter handgum, which they always you know, they're always on

760
00:37:38,920 --> 00:37:41,279
Speaker 1: the news, just like pushing about the ar and this

761
00:37:41,320 --> 00:37:43,120
Speaker 1: and that, and it's just like, no, you can kill

762
00:37:43,160 --> 00:37:46,120
Speaker 1: just as many people with a regular gunto especially in

763
00:37:46,160 --> 00:37:50,239
Speaker 1: situations like this where they're unsuspecting or trapped in a

764
00:37:50,280 --> 00:37:55,600
Speaker 1: train car or something like that. It's just I don't know, like,

765
00:37:55,760 --> 00:37:58,759
Speaker 1: what would possess somebody to do that. I don't freaking know.

766
00:37:58,960 --> 00:38:01,880
Speaker 2: So at first I was thinking it was people heading

767
00:38:01,920 --> 00:38:03,680
Speaker 2: to work, but it was labor day, so I think

768
00:38:03,719 --> 00:38:06,680
Speaker 2: most people were off. And then the Chicago Coalition to

769
00:38:06,840 --> 00:38:10,480
Speaker 2: End Homelessness released a statement saying that violence against homeless

770
00:38:10,520 --> 00:38:12,640
Speaker 2: people is not random and that more needs to be

771
00:38:12,680 --> 00:38:16,279
Speaker 2: done to protect them. But the police aren't confirming or

772
00:38:16,320 --> 00:38:19,560
Speaker 2: denying whether these people were homeless or not, so we're

773
00:38:19,640 --> 00:38:21,719
Speaker 2: kind of unsure about what. Well.

774
00:38:21,800 --> 00:38:25,040
Speaker 1: It is interesting because as of today they were saying

775
00:38:25,080 --> 00:38:28,879
Speaker 1: that they only identify three of the four people. And

776
00:38:29,320 --> 00:38:32,319
Speaker 1: you have to think, like normally when you're on a train,

777
00:38:32,440 --> 00:38:34,719
Speaker 1: right you have your purse, or a man will have

778
00:38:34,760 --> 00:38:37,600
Speaker 1: a wallet or something in it, or a bag, school bag, whatever,

779
00:38:38,280 --> 00:38:41,799
Speaker 1: And that could really help investigators when they find a

780
00:38:41,840 --> 00:38:44,359
Speaker 1: dead body, because at least like someone's got an idea

781
00:38:44,440 --> 00:38:46,000
Speaker 1: or a credit card and they could get a name.

782
00:38:46,400 --> 00:38:49,440
Speaker 1: You can't assume that that's that person, but it could

783
00:38:49,520 --> 00:38:51,480
Speaker 1: kind of help you get some leads as to who

784
00:38:51,560 --> 00:38:54,400
Speaker 1: the person is. Then they'll take the bodies to the

785
00:38:54,400 --> 00:38:57,239
Speaker 1: medical examiner's office and they'll do fingerprints. But if the

786
00:38:57,280 --> 00:39:00,719
Speaker 1: person's not in the system, then they have a difficult time,

787
00:39:00,840 --> 00:39:03,560
Speaker 1: so they do things like they look for tattoos. There's

788
00:39:03,600 --> 00:39:06,960
Speaker 1: a lot of websites out there from different medical examiners

789
00:39:07,040 --> 00:39:12,160
Speaker 1: offices that will post especially tattoos or belongings that were

790
00:39:12,239 --> 00:39:14,320
Speaker 1: very specific, like a necklace with a name on it

791
00:39:14,440 --> 00:39:17,920
Speaker 1: or something on this website. So if you're missing a

792
00:39:17,960 --> 00:39:20,400
Speaker 1: family member or something, you could go on this website

793
00:39:20,440 --> 00:39:24,400
Speaker 1: and like look to see if they're on there, especially

794
00:39:24,440 --> 00:39:29,200
Speaker 1: by their tattoos. So it is interesting to think, maybe

795
00:39:29,239 --> 00:39:32,720
Speaker 1: that's why it's taking so long to identify this other person,

796
00:39:32,800 --> 00:39:35,440
Speaker 1: because if it was a homeless person, they might just

797
00:39:35,560 --> 00:39:38,080
Speaker 1: have clothes on and that's it and you just don't

798
00:39:38,160 --> 00:39:38,759
Speaker 1: know who they are.

799
00:39:39,120 --> 00:39:41,920
Speaker 2: Yeah, So three of the victims died immediately, the fourth

800
00:39:42,040 --> 00:39:44,399
Speaker 2: was dead at the hospital, and a thirty year old

801
00:39:44,440 --> 00:39:46,959
Speaker 2: has been arrested in charge with four counts of first

802
00:39:47,000 --> 00:39:50,040
Speaker 2: degree murder in connection to this case. So I am

803
00:39:50,120 --> 00:39:53,319
Speaker 2: hopeful that, thank goodness, like nobody's still on the run

804
00:39:53,400 --> 00:39:56,359
Speaker 2: for this, and I guess we'll figure out in the

805
00:39:56,400 --> 00:39:58,840
Speaker 2: next couple weeks months what the motive was.

806
00:39:59,560 --> 00:40:02,239
Speaker 1: Yeah, it's just it's really weird, and I hope we

807
00:40:02,320 --> 00:40:04,200
Speaker 1: do hear more about it, just to see like what

808
00:40:04,400 --> 00:40:07,640
Speaker 1: was the deal with that, because again, just like another

809
00:40:07,760 --> 00:40:10,440
Speaker 1: scary thing. You know, Gabe always thinks it's weird because

810
00:40:10,440 --> 00:40:14,960
Speaker 1: he when he went to travel for school, he was

811
00:40:15,000 --> 00:40:17,319
Speaker 1: saying that there was just a lot of security on

812
00:40:17,400 --> 00:40:19,960
Speaker 1: the trains in Europe when he went to Paris and

813
00:40:19,960 --> 00:40:22,560
Speaker 1: all that stuff, and he just thinks that it's it's

814
00:40:22,600 --> 00:40:24,680
Speaker 1: not like that here, and it's it's just kind of

815
00:40:24,840 --> 00:40:27,560
Speaker 1: interesting that it's not, you know, because.

816
00:40:27,360 --> 00:40:29,719
Speaker 2: They'll have one or I don't even I mean, I

817
00:40:29,760 --> 00:40:33,439
Speaker 2: haven't really been on Philly public transportation in years because

818
00:40:33,480 --> 00:40:36,600
Speaker 2: it's honestly, our city has some of the worst public

819
00:40:36,600 --> 00:40:40,160
Speaker 2: transportation in the world. Just it doesn't go anywhere and

820
00:40:40,200 --> 00:40:41,400
Speaker 2: it's not well taken care of.

821
00:40:41,520 --> 00:40:43,719
Speaker 1: They don't have like metal detectors and ship.

822
00:40:43,600 --> 00:40:45,719
Speaker 2: They certainly don't have metal detectors. But I don't even

823
00:40:45,719 --> 00:40:47,799
Speaker 2: think they have. Like when I interned in New York

824
00:40:47,840 --> 00:40:50,160
Speaker 2: one summer, they had at least a couple of cops.

825
00:40:50,160 --> 00:40:53,200
Speaker 2: Like there wasn't one on every train, but one was

826
00:40:53,280 --> 00:40:57,760
Speaker 2: going in between them pretty regularly. So I don't know if.

827
00:40:57,640 --> 00:41:00,279
Speaker 1: That still wouldn't prevent like even if a cop was

828
00:41:00,320 --> 00:41:01,920
Speaker 1: on the train car, like if the guy pulled out

829
00:41:01,920 --> 00:41:05,160
Speaker 1: a gun and just started shooting people, like the cop

830
00:41:05,239 --> 00:41:07,120
Speaker 1: might be able to take them down before they kill

831
00:41:07,200 --> 00:41:09,600
Speaker 1: more people, But like, it's not preventative, you know what

832
00:41:09,680 --> 00:41:12,320
Speaker 1: I mean. I mean, you could argue that they should

833
00:41:12,360 --> 00:41:16,239
Speaker 1: have metal detectors at the train station, but it's just also.

834
00:41:16,080 --> 00:41:20,640
Speaker 2: Totally like it's not plausibly pausible with people having to

835
00:41:20,680 --> 00:41:24,520
Speaker 2: commute in that way. It would jam everything up. No,

836
00:41:24,640 --> 00:41:26,560
Speaker 2: I get that, So it kind of just sucks.

837
00:41:26,640 --> 00:41:28,320
Speaker 3: But yeah, Okay.

838
00:41:28,400 --> 00:41:31,160
Speaker 2: Back in June, police were called because people living in

839
00:41:31,200 --> 00:41:34,080
Speaker 2: an apartment complex had found a three year old sleeping

840
00:41:34,120 --> 00:41:37,080
Speaker 2: in the corner of the apartment complex. So they started

841
00:41:37,120 --> 00:41:39,120
Speaker 2: the building at first, but we're not able to find

842
00:41:39,160 --> 00:41:41,719
Speaker 2: a mother, And eventually they found her several miles away

843
00:41:41,760 --> 00:41:44,719
Speaker 2: at a plastic surgery center And no, she did not

844
00:41:44,800 --> 00:41:47,000
Speaker 2: work there. She was getting a procedure done.

845
00:41:47,880 --> 00:41:51,160
Speaker 1: Yeah, they straight up arrested her and she had on

846
00:41:51,239 --> 00:41:54,040
Speaker 1: a robe and like dressings around her head. I don't

847
00:41:54,040 --> 00:41:57,279
Speaker 1: know what the hell she was getting done. I mean

848
00:41:57,360 --> 00:42:00,440
Speaker 1: not even boattox or anything like she was and like

849
00:42:00,480 --> 00:42:04,359
Speaker 1: a legit surgery procedure done on her face and like

850
00:42:04,440 --> 00:42:05,239
Speaker 1: left her kid home.

851
00:42:05,320 --> 00:42:08,759
Speaker 2: Yeah, for six hours he was alone. So she said

852
00:42:08,800 --> 00:42:11,040
Speaker 2: that her friend was supposed to be watching him, and

853
00:42:11,080 --> 00:42:14,160
Speaker 2: that friend said that she never asked him to watch

854
00:42:14,200 --> 00:42:16,480
Speaker 2: the kid. And I'm also like, well, why would you

855
00:42:16,600 --> 00:42:19,560
Speaker 2: leave if there was not a confirmed babysitter in the house.

856
00:42:19,880 --> 00:42:22,240
Speaker 3: If you have money to get a procedure done.

857
00:42:22,000 --> 00:42:23,799
Speaker 2: Why can't you pay for a babysitter.

858
00:42:25,200 --> 00:42:25,960
Speaker 3: I just don't know.

859
00:42:26,880 --> 00:42:29,680
Speaker 1: It's so it's so messed up because she probably stuck

860
00:42:29,719 --> 00:42:31,759
Speaker 1: them in front of a TV or an iPad and

861
00:42:31,800 --> 00:42:33,360
Speaker 1: thought he was going to be okay, and then the

862
00:42:33,360 --> 00:42:36,320
Speaker 1: iPad went dead and then the kid started wandering and

863
00:42:36,360 --> 00:42:37,160
Speaker 1: that's what happened.

864
00:42:37,239 --> 00:42:39,960
Speaker 2: Yeah, I don't know. This is disgusting. She's been arrested

865
00:42:40,000 --> 00:42:41,799
Speaker 2: and taken to jail rightfully, So.

866
00:42:42,960 --> 00:42:44,720
Speaker 1: I mean, does she look good in her mugshot?

867
00:42:44,760 --> 00:42:45,200
Speaker 3: At least?

868
00:42:45,320 --> 00:42:48,400
Speaker 2: Probably not if she's wearing all the dressings that she's swollen.

869
00:42:49,360 --> 00:42:50,120
Speaker 1: What a moron.

870
00:42:50,840 --> 00:42:53,440
Speaker 2: So this next story is about a former coup that

871
00:42:53,520 --> 00:42:56,719
Speaker 2: has been accused of killing a woman and staging her suicide.

872
00:42:57,200 --> 00:43:00,000
Speaker 2: So this indictment is saying back in twenty twenty one,

873
00:43:00,080 --> 00:43:02,160
Speaker 2: three year old woman told this police officer she was

874
00:43:02,200 --> 00:43:05,560
Speaker 2: pregnant with his child. Apparently they had a history, well,

875
00:43:05,600 --> 00:43:08,239
Speaker 2: he had a history of sexually exploiting her since she

876
00:43:08,360 --> 00:43:11,800
Speaker 2: was a teenager, which is disgusting. And then allegedly after

877
00:43:11,840 --> 00:43:14,319
Speaker 2: she told him about the pregnancy, he then strangled her

878
00:43:14,320 --> 00:43:16,319
Speaker 2: to death and staged her apartment to look like she

879
00:43:16,440 --> 00:43:21,280
Speaker 2: died by suicide. This, this story really disturbed me this week.

880
00:43:22,360 --> 00:43:26,720
Speaker 2: So this is how this couple originally met. This guy's

881
00:43:26,760 --> 00:43:30,040
Speaker 2: a cop and they have this like junior police academy

882
00:43:30,120 --> 00:43:32,279
Speaker 2: thing which they have in my town.

883
00:43:32,320 --> 00:43:33,959
Speaker 1: They have in a lot of towns where they let

884
00:43:34,320 --> 00:43:39,239
Speaker 1: teenagers come and they could learn what it's like to

885
00:43:39,280 --> 00:43:41,520
Speaker 1: be a cop. Right, they go for like a camp thing.

886
00:43:42,200 --> 00:43:45,359
Speaker 1: And when this girl was only fifteen years old, this

887
00:43:45,400 --> 00:43:47,759
Speaker 1: cop was twenty seven years old and met her and

888
00:43:47,800 --> 00:43:50,840
Speaker 1: started having a relationship with her and started having sex

889
00:43:50,840 --> 00:43:54,839
Speaker 1: with her. And he was married and had kids and

890
00:43:55,000 --> 00:43:57,879
Speaker 1: was having this whole entire relationship behind his wife's back

891
00:43:57,920 --> 00:44:01,920
Speaker 1: with this kid and like grooming her base. And finally

892
00:44:01,920 --> 00:44:04,360
Speaker 1: when she got older, she was saying she wanted to

893
00:44:04,400 --> 00:44:06,360
Speaker 1: have a baby of her own and all this stuff,

894
00:44:06,840 --> 00:44:10,680
Speaker 1: and she had convinced him to get her pregnant because

895
00:44:10,719 --> 00:44:13,080
Speaker 1: he was scared he was going to get in trouble

896
00:44:13,120 --> 00:44:15,759
Speaker 1: for statutory rape, so he was kind of doing it

897
00:44:15,800 --> 00:44:19,440
Speaker 1: to shut her up. And once she did get pregnant,

898
00:44:19,520 --> 00:44:22,160
Speaker 1: she started being like, I want you to come baby

899
00:44:22,239 --> 00:44:24,800
Speaker 1: close shopping with me and be involved in the baby's

900
00:44:24,840 --> 00:44:28,200
Speaker 1: life and everything, and that's when all of a sudden,

901
00:44:28,280 --> 00:44:30,080
Speaker 1: she ended up killing herself.

902
00:44:30,600 --> 00:44:34,239
Speaker 2: Yeah, I mean, I honestly, this sounds like this Lifetime

903
00:44:34,280 --> 00:44:37,439
Speaker 2: movie I watched like fifteen years ago. It just such

904
00:44:37,480 --> 00:44:39,960
Speaker 2: an outrageous plot, and like, what is going on through

905
00:44:40,000 --> 00:44:42,439
Speaker 2: this guy's brain that he thinks in today's day and age,

906
00:44:42,440 --> 00:44:44,359
Speaker 2: you're gonna get away with something like this.

907
00:44:45,000 --> 00:44:47,480
Speaker 1: Well, he was lying a lot, and they found all

908
00:44:47,480 --> 00:44:49,600
Speaker 1: these text messages, like he was trying to say their

909
00:44:49,640 --> 00:44:53,040
Speaker 1: relationship just started and just trying to say all this stuff,

910
00:44:53,040 --> 00:44:57,359
Speaker 1: and they're like, no, we could tell that this relationship

911
00:44:57,400 --> 00:45:00,879
Speaker 1: started when when she was underage and all. So he

912
00:45:00,960 --> 00:45:02,840
Speaker 1: was trying to act like he hasn't had sex with

913
00:45:02,880 --> 00:45:04,840
Speaker 1: her in a while, so people wouldn't think that it

914
00:45:04,920 --> 00:45:08,239
Speaker 1: was his child, Like you're a moron, dude.

915
00:45:08,320 --> 00:45:10,920
Speaker 2: Yeah, And the US attorney in the press conference said,

916
00:45:11,000 --> 00:45:14,640
Speaker 2: we allege that the victim survived years of grooming, satutory rape,

917
00:45:14,680 --> 00:45:16,960
Speaker 2: and then sexual violence, all at the hands of this

918
00:45:17,040 --> 00:45:19,520
Speaker 2: police officer, and when it became clear that he could

919
00:45:19,560 --> 00:45:22,160
Speaker 2: no longer control her, he silenced her permanently.

920
00:45:23,120 --> 00:45:25,719
Speaker 1: Yeah, and they looked up all of like, what was

921
00:45:25,800 --> 00:45:28,279
Speaker 1: she doing leading up to this? She didn't have any

922
00:45:28,320 --> 00:45:33,840
Speaker 1: suicidal ideation, even up to hours before she died. She

923
00:45:34,160 --> 00:45:38,120
Speaker 1: was booking a photographer for her newborn. She was buying

924
00:45:38,239 --> 00:45:41,480
Speaker 1: newborn clothes and doing laundry at the time that she

925
00:45:41,760 --> 00:45:44,080
Speaker 1: killed herself. So well, he supposedly kills hers.

926
00:45:44,200 --> 00:45:46,680
Speaker 2: Will he get charge with two deaths? Then if she's

927
00:45:46,760 --> 00:45:48,120
Speaker 2: confirmed pregnant.

928
00:45:48,400 --> 00:45:52,280
Speaker 1: I think it depends on number one, how far along

929
00:45:52,320 --> 00:45:54,759
Speaker 1: she has a number two, what state that they're in,

930
00:45:54,880 --> 00:45:58,160
Speaker 1: because I think every state it varies as if if

931
00:45:58,200 --> 00:46:02,080
Speaker 1: they decide know one or the other. But yeah, I mean,

932
00:46:02,400 --> 00:46:05,000
Speaker 1: did it say where this happened? Uh?

933
00:46:05,040 --> 00:46:08,799
Speaker 2: I didn't I write it down, But but yeah, like.

934
00:46:09,520 --> 00:46:14,880
Speaker 1: I I hope. So I mean how gross, right, Like yeah, again,

935
00:46:15,480 --> 00:46:19,760
Speaker 1: imagine being this guy's wife. Well, yeah, and it circles

936
00:46:19,800 --> 00:46:22,160
Speaker 1: back to my theory like if you're having an affair,

937
00:46:22,640 --> 00:46:25,319
Speaker 1: somebody doesn't have to die because of it, just like

938
00:46:25,400 --> 00:46:27,720
Speaker 1: you need to deal with the consequences of it. Because

939
00:46:28,280 --> 00:46:30,560
Speaker 1: so it's like you're either gonna get well, there was

940
00:46:30,600 --> 00:46:33,080
Speaker 1: more than a fair that was that's the thing. Like

941
00:46:33,160 --> 00:46:37,880
Speaker 1: he it's it seemed like he was scared because ultimately,

942
00:46:38,040 --> 00:46:40,799
Speaker 1: like it all would it came out how they met

943
00:46:40,800 --> 00:46:42,960
Speaker 1: and everything like that, and like he didn't want to

944
00:46:42,960 --> 00:46:45,440
Speaker 1: get in trouble for having sex with a minor, which he.

945
00:46:45,520 --> 00:46:47,560
Speaker 2: Was, but now he's going to jail for murder.

946
00:46:47,640 --> 00:46:49,520
Speaker 3: So it's like, what's worse.

947
00:46:50,680 --> 00:46:53,919
Speaker 1: I don't know. I think it's gross that he staged it,

948
00:46:54,440 --> 00:46:57,719
Speaker 1: Like you kind of ruin this girl's life, not kind

949
00:46:57,760 --> 00:47:00,640
Speaker 1: of you ruin this girl's life, and and you're gonna

950
00:47:00,760 --> 00:47:03,720
Speaker 1: end it by making it look like she killed herself.

951
00:47:03,760 --> 00:47:06,839
Speaker 1: She's got family and stuff and just like make just

952
00:47:06,880 --> 00:47:09,440
Speaker 1: like staging a suicide. Like how gross is that?

953
00:47:09,560 --> 00:47:09,759
Speaker 2: Yeah?

954
00:47:09,800 --> 00:47:11,120
Speaker 3: It is pretty disgusting.

955
00:47:12,280 --> 00:47:15,239
Speaker 2: This next story happened not that far from us, which

956
00:47:15,280 --> 00:47:17,680
Speaker 2: is really disturbing. So this forty two year old woman

957
00:47:17,719 --> 00:47:20,960
Speaker 2: returned home from work one day. Before going into her house,

958
00:47:21,000 --> 00:47:24,000
Speaker 2: somebody approached her and threw a cup of acid on her.

959
00:47:25,200 --> 00:47:29,239
Speaker 1: Yeah, sulfuric acid. It's very caustic. And what happens when

960
00:47:29,280 --> 00:47:32,520
Speaker 1: you get acid thrown on you is that really it

961
00:47:32,560 --> 00:47:35,120
Speaker 1: burns your skin like a flame would burn it, except

962
00:47:35,200 --> 00:47:38,479
Speaker 1: it just doesn't stop until you get the acid off

963
00:47:38,520 --> 00:47:42,400
Speaker 1: of your body. And sometimes people are so injured that

964
00:47:42,440 --> 00:47:44,520
Speaker 1: they can't get to a source to even clean it

965
00:47:44,520 --> 00:47:47,960
Speaker 1: off right away, or it doesn't even happen until they

966
00:47:47,960 --> 00:47:52,480
Speaker 1: get to the hospital and the chemical eats through the skin,

967
00:47:52,600 --> 00:47:54,719
Speaker 1: the soft tissue, the muscle. It could go all the

968
00:47:54,719 --> 00:47:58,040
Speaker 1: way down into the bone. So this woman was burned

969
00:47:58,120 --> 00:48:01,800
Speaker 1: over thirty five percent of her body. It's so terrible

970
00:48:01,840 --> 00:48:02,960
Speaker 1: when you hear things like this.

971
00:48:03,239 --> 00:48:06,440
Speaker 2: Yeah, So then police start investigating what they believed at

972
00:48:06,480 --> 00:48:08,840
Speaker 2: first was a random attack, but then they found that

973
00:48:08,920 --> 00:48:12,839
Speaker 2: this GPS tracking device was placed under her car. So

974
00:48:12,920 --> 00:48:15,440
Speaker 2: in their investigation, they found the device had been purchased

975
00:48:15,440 --> 00:48:17,640
Speaker 2: by a woman named Betty Joe Lane, and it was

976
00:48:17,640 --> 00:48:20,480
Speaker 2: bought at a spy shop. What is a spy shop?

977
00:48:22,280 --> 00:48:25,160
Speaker 1: I don't know. Let's just put this out there that

978
00:48:25,200 --> 00:48:28,680
Speaker 1: these are like the dumbest criminals ever. Yeah, of course,

979
00:48:28,680 --> 00:48:30,800
Speaker 1: because wait till you hear the rest of the story.

980
00:48:30,880 --> 00:48:35,879
Speaker 1: So this lady purchased a GPS tracking device and put

981
00:48:35,920 --> 00:48:39,480
Speaker 1: it on the woman that got dowst in acids car.

982
00:48:39,600 --> 00:48:43,080
Speaker 2: Wait, but she activated the device on July nineteenth and

983
00:48:43,120 --> 00:48:46,160
Speaker 2: didn't plant it till July twenty third, So the GPS

984
00:48:46,160 --> 00:48:49,720
Speaker 2: device was tracking this lady in the couple of days.

985
00:48:49,719 --> 00:48:54,080
Speaker 1: Fucking moron, Yeah, what seriously, Like, you aren't the dumbest

986
00:48:54,080 --> 00:48:54,719
Speaker 1: person ever.

987
00:48:54,920 --> 00:48:57,520
Speaker 2: She actually stayed at a hotel like really close to

988
00:48:57,600 --> 00:49:01,680
Speaker 2: my house, so that's not comfort at all. So yeah,

989
00:49:01,760 --> 00:49:05,120
Speaker 2: this GPS device, you know, it was tracking her going

990
00:49:05,120 --> 00:49:08,000
Speaker 2: to all these different hotels and basically her entire journey

991
00:49:08,040 --> 00:49:10,719
Speaker 2: until she actually planted it on the victim's car on

992
00:49:10,800 --> 00:49:13,560
Speaker 2: July twenty third, and then three days after that the

993
00:49:13,600 --> 00:49:17,000
Speaker 2: attack happened. So overall they found this woman and another

994
00:49:17,040 --> 00:49:20,480
Speaker 2: guy named Jamar McNeil had been hired by the victim's

995
00:49:20,520 --> 00:49:23,440
Speaker 2: ex boyfriend. So they all lived in Florida and they

996
00:49:23,480 --> 00:49:25,200
Speaker 2: came up to do this and now they're gonna have

997
00:49:25,239 --> 00:49:27,040
Speaker 2: to be extradited here for the trial.

998
00:49:29,120 --> 00:49:33,560
Speaker 1: Idiots, they gave the police like an entire story, like

999
00:49:33,640 --> 00:49:37,719
Speaker 1: thanks that that was very easy, idiots Jesus. So, I

1000
00:49:37,760 --> 00:49:41,240
Speaker 1: mean it really sucks that this happened to this lady

1001
00:49:41,480 --> 00:49:44,920
Speaker 1: and she'll, you know, she might not ever fully recover.

1002
00:49:45,040 --> 00:49:48,160
Speaker 1: I mean she she has it looks like it's on

1003
00:49:48,200 --> 00:49:52,480
Speaker 1: her face, which is terrible, just risk of infection and

1004
00:49:52,520 --> 00:49:54,640
Speaker 1: everything like that. Like she's going to have a long

1005
00:49:54,800 --> 00:49:56,760
Speaker 1: road ahead of her. I believe she was a nurse.

1006
00:49:57,320 --> 00:49:59,840
Speaker 1: She probably can never work again, like doing what she

1007
00:49:59,840 --> 00:50:01,600
Speaker 1: wan doing, at least for a long time.

1008
00:50:01,719 --> 00:50:03,479
Speaker 2: I mean she had to be airlifted to the burn

1009
00:50:03,600 --> 00:50:05,920
Speaker 2: center and then she's been in there for over a

1010
00:50:06,000 --> 00:50:07,240
Speaker 2: month since this happened.

1011
00:50:07,760 --> 00:50:10,200
Speaker 1: Yeah, so I mean, of course she is. Yeah, it's

1012
00:50:10,360 --> 00:50:14,120
Speaker 1: terrible and and like why because these idiots, like they

1013
00:50:14,440 --> 00:50:17,080
Speaker 1: I guess the guy paid these people like forty thousand

1014
00:50:17,080 --> 00:50:18,239
Speaker 1: dollars or something to do this.

1015
00:50:18,520 --> 00:50:21,160
Speaker 2: They're they're idiots. So all three have been charged with

1016
00:50:21,200 --> 00:50:25,200
Speaker 2: first degree conspiracy to commit murder, criminal attempt, second degree

1017
00:50:25,200 --> 00:50:28,800
Speaker 2: aggravated assault, possession of a weapon unlawful purpose, and stalking.

1018
00:50:29,360 --> 00:50:30,479
Speaker 3: So good.

1019
00:50:30,600 --> 00:50:32,720
Speaker 1: I was like they should get them for the charge

1020
00:50:32,719 --> 00:50:36,759
Speaker 1: of just you know, sticking a GPS tracking device under

1021
00:50:36,760 --> 00:50:38,400
Speaker 1: somebody's car. That's so scary.

1022
00:50:38,640 --> 00:50:39,560
Speaker 3: Yeah, it really is.

1023
00:50:40,400 --> 00:50:42,719
Speaker 1: All right, let's get on the medical news in.

1024
00:50:42,719 --> 00:50:45,759
Speaker 2: West Palm Beach. This Obguyn had been under fire for

1025
00:50:45,880 --> 00:50:51,880
Speaker 2: several botched circumcisions and the several deaths of his patients. Yeah,

1026
00:50:52,000 --> 00:50:55,640
Speaker 2: and the Florida Board took his license away apparently, and

1027
00:50:55,680 --> 00:50:58,400
Speaker 2: he was still performing surgery, which I don't even understand

1028
00:50:58,440 --> 00:50:59,280
Speaker 2: how that's possible.

1029
00:50:59,360 --> 00:50:59,640
Speaker 3: Okay.

1030
00:50:59,719 --> 00:51:04,520
Speaker 2: So apparently once the board votes to revoke your license,

1031
00:51:05,120 --> 00:51:09,239
Speaker 2: there's this weird lapse in time where, let's say on

1032
00:51:09,280 --> 00:51:13,120
Speaker 2: a Monday, they take the license away, it's not officially

1033
00:51:13,280 --> 00:51:17,080
Speaker 2: in place until you get this official paperwork like two

1034
00:51:17,120 --> 00:51:21,799
Speaker 2: weeks later. So he was performing this circumcision we're going

1035
00:51:21,840 --> 00:51:25,480
Speaker 2: to talk about later on in this time period in

1036
00:51:25,560 --> 00:51:28,040
Speaker 2: between them deciding they were going to revoke it and

1037
00:51:28,120 --> 00:51:30,040
Speaker 2: him getting the paperwork legally.

1038
00:51:30,080 --> 00:51:34,239
Speaker 1: Okay. So if i'm this person, right, that's suing Yeah

1039
00:51:34,280 --> 00:51:38,400
Speaker 1: because of this situation, I'm suing them too, because that's bullshit. Yeah,

1040
00:51:38,440 --> 00:51:41,800
Speaker 1: that's their fault because they they should have a system

1041
00:51:41,800 --> 00:51:44,960
Speaker 1: in place, like I'm sorry, but that's possible, right, Yeah,

1042
00:51:45,000 --> 00:51:47,880
Speaker 1: it's just their problem. They should have a system in

1043
00:51:47,920 --> 00:51:52,200
Speaker 1: place where whatever hospital these people are performing at our

1044
00:51:52,239 --> 00:51:55,520
Speaker 1: medical facilities, are alerted right away that they are no

1045
00:51:55,600 --> 00:51:56,640
Speaker 1: longer to be doing.

1046
00:51:56,520 --> 00:51:58,239
Speaker 3: And you really shouldn't even let them.

1047
00:51:58,400 --> 00:52:02,440
Speaker 2: Like, So what happened was in between this timeframe, he

1048
00:52:02,600 --> 00:52:04,960
Speaker 2: still continued to practice and then he had this one

1049
00:52:05,000 --> 00:52:07,320
Speaker 2: couple meet him in his office but pay him cash.

1050
00:52:07,360 --> 00:52:08,839
Speaker 3: Like what is paying him cash? Matter?

1051
00:52:09,160 --> 00:52:11,520
Speaker 2: They really should lock the office up and like not

1052
00:52:11,640 --> 00:52:14,160
Speaker 2: let them go in it, don't you think?

1053
00:52:14,719 --> 00:52:18,640
Speaker 1: But yeah, yeah, I don't know. I guess you can't

1054
00:52:18,640 --> 00:52:20,680
Speaker 1: do that though, because a person might own a building

1055
00:52:20,760 --> 00:52:22,799
Speaker 1: or rent it. You can't just like tell people they

1056
00:52:22,800 --> 00:52:26,440
Speaker 1: can't go to their their building. I get that, And

1057
00:52:26,760 --> 00:52:29,200
Speaker 1: that's I guess that's what happened. So he was performing

1058
00:52:29,360 --> 00:52:30,680
Speaker 1: at on his own.

1059
00:52:30,960 --> 00:52:34,840
Speaker 2: Yeah, he was performing anyway because nobody was doing anything

1060
00:52:34,880 --> 00:52:37,920
Speaker 2: about it, and he he certainly didn't tell his patients

1061
00:52:37,960 --> 00:52:41,120
Speaker 2: that is that they had voted to revoke his license.

1062
00:52:41,120 --> 00:52:44,080
Speaker 1: Okay, So then what I just said doesn't really matter

1063
00:52:44,120 --> 00:52:46,240
Speaker 1: because he could have just done this anyway. He wasn't

1064
00:52:46,239 --> 00:52:49,279
Speaker 1: like doing this at a hospital. But what But what

1065
00:52:49,360 --> 00:52:52,319
Speaker 1: is concerning to me? I guess in twenty twenty four,

1066
00:52:53,239 --> 00:52:57,400
Speaker 1: why why would a doctor ever be asked telling a

1067
00:52:57,480 --> 00:52:59,880
Speaker 1: patient that they would do a procedure for cash and

1068
00:53:00,400 --> 00:53:05,279
Speaker 1: in office, Like, why wouldn't anybody think that that was skeptical?

1069
00:53:05,800 --> 00:53:08,920
Speaker 1: I really don't know. I really just don't know.

1070
00:53:09,080 --> 00:53:12,600
Speaker 2: But you don't know what if he was doing that before,

1071
00:53:12,760 --> 00:53:14,560
Speaker 2: Like you just don't know what was going on leading

1072
00:53:14,640 --> 00:53:16,600
Speaker 2: up to this, and how familiar they were with him,

1073
00:53:16,680 --> 00:53:19,840
Speaker 2: and maybe that they were maybe in a rush to

1074
00:53:19,840 --> 00:53:20,279
Speaker 2: get something.

1075
00:53:20,280 --> 00:53:20,680
Speaker 3: I don't know.

1076
00:53:20,719 --> 00:53:22,680
Speaker 2: You have to look at all the circumstances leading up

1077
00:53:22,719 --> 00:53:26,120
Speaker 2: to this specific procedure. But basically, this couple brought their

1078
00:53:26,120 --> 00:53:29,280
Speaker 2: son in and he totally bought the circumcision and severed

1079
00:53:29,280 --> 00:53:30,400
Speaker 2: the child's penis.

1080
00:53:31,600 --> 00:53:34,560
Speaker 1: Yeah, so while he was doing the circumcision, I guess

1081
00:53:34,560 --> 00:53:36,359
Speaker 1: the mom didn't want to sit in the room and

1082
00:53:36,400 --> 00:53:38,440
Speaker 1: watch it, but the dad sat there and watched it

1083
00:53:38,760 --> 00:53:41,359
Speaker 1: and thought that the kid was bleeding a lot, and

1084
00:53:41,520 --> 00:53:43,840
Speaker 1: the guy just kept saying like, no, this is normal,

1085
00:53:43,880 --> 00:53:47,200
Speaker 1: this is normal. Whatever. They sent the baby home with

1086
00:53:47,280 --> 00:53:49,920
Speaker 1: the parents and were like, give the kid tile and

1087
00:53:50,000 --> 00:53:54,120
Speaker 1: all and it'll stop bleeding. Eventually. The next morning, the

1088
00:53:54,200 --> 00:53:56,840
Speaker 1: baby was still bleeding, so they brought the baby to

1089
00:53:56,920 --> 00:54:00,319
Speaker 1: the emergency room. The emergency room was like, kind of,

1090
00:54:00,800 --> 00:54:02,879
Speaker 1: we don't really know what we're looking at here. Let's

1091
00:54:02,920 --> 00:54:06,120
Speaker 1: go to a pediatric urologist specialist to check this out

1092
00:54:06,120 --> 00:54:11,440
Speaker 1: because it doesn't look right. And the pediatric urologist was

1093
00:54:11,480 --> 00:54:13,919
Speaker 1: first talking to the parents and just saying like, hey,

1094
00:54:14,440 --> 00:54:16,880
Speaker 1: just to let you know there's complications with this and

1095
00:54:17,080 --> 00:54:19,279
Speaker 1: the bleeding and it's all normal. And then he took

1096
00:54:19,320 --> 00:54:23,400
Speaker 1: off the diaper and was like, yeah, he didn't know

1097
00:54:23,440 --> 00:54:25,080
Speaker 1: what he was looking at, and he was like, oh

1098
00:54:25,120 --> 00:54:28,439
Speaker 1: my god, there's a serious problem here. And that's when

1099
00:54:28,440 --> 00:54:32,200
Speaker 1: they realized that the baby's urethra, or the tube that

1100
00:54:32,239 --> 00:54:36,040
Speaker 1: brings urine out of the penis, was severed, and he

1101
00:54:36,080 --> 00:54:38,600
Speaker 1: couldn't even tell the full extent of it because it

1102
00:54:38,680 --> 00:54:41,839
Speaker 1: was bleeding so much. So the parents let it, you know,

1103
00:54:41,920 --> 00:54:45,080
Speaker 1: finally heal up and scab over, and then when they

1104
00:54:45,080 --> 00:54:47,520
Speaker 1: looked at it, they said that fifty percent of the

1105
00:54:47,560 --> 00:54:48,640
Speaker 1: penis was cut off.

1106
00:54:49,160 --> 00:54:52,920
Speaker 2: It's just ridiculous. So then they, you know, they this happened,

1107
00:54:53,280 --> 00:54:56,600
Speaker 2: this happened a couple years ago. So then they sued him,

1108
00:54:56,840 --> 00:54:59,560
Speaker 2: and then so last week after the trial, jurors had

1109
00:54:59,600 --> 00:55:02,640
Speaker 2: a word the parents one hundred million dollar settlement, which

1110
00:55:02,680 --> 00:55:05,840
Speaker 2: was double what they were even asking for. Because of

1111
00:55:05,880 --> 00:55:09,520
Speaker 2: how horrific this case was. And this douchebag doctor didn't

1112
00:55:09,520 --> 00:55:12,960
Speaker 2: even show up. He didn't even have legal representation at all.

1113
00:55:13,000 --> 00:55:14,880
Speaker 2: He just acted as if it wasn't happening.

1114
00:55:16,239 --> 00:55:18,480
Speaker 1: But like he's gonna get fined and not get in

1115
00:55:18,560 --> 00:55:20,120
Speaker 1: any trouble for this.

1116
00:55:20,200 --> 00:55:22,600
Speaker 2: So this is where this is where I learned about

1117
00:55:22,600 --> 00:55:27,080
Speaker 2: the license thing, because the family wants them to press

1118
00:55:27,080 --> 00:55:30,239
Speaker 2: criminal charges against him for practicing without a license, but

1119
00:55:30,320 --> 00:55:34,439
Speaker 2: they're saying, technically his license had not been revoked yet.

1120
00:55:34,440 --> 00:55:36,839
Speaker 2: They had voted to revoke it, but it had not

1121
00:55:37,000 --> 00:55:41,400
Speaker 2: legally been revoked yet, so he technically wasn't doing anything illegal,

1122
00:55:42,360 --> 00:55:44,879
Speaker 2: which is bullshit. And they were like, the system needs

1123
00:55:44,880 --> 00:55:46,200
Speaker 2: to change, which I agree.

1124
00:55:47,960 --> 00:55:51,600
Speaker 1: Well, I don't even I don't understand what, like he's

1125
00:55:51,719 --> 00:55:55,640
Speaker 1: a trained surgeon, why like why is he watching so

1126
00:55:54,960 --> 00:55:58,000
Speaker 1: many so many things like this? Like so they they

1127
00:55:58,080 --> 00:56:00,600
Speaker 1: paid two hundred and fifty dollars for it, two hundred

1128
00:56:00,600 --> 00:56:02,399
Speaker 1: and fifty dollars. That bad he was like rushing throw

1129
00:56:02,440 --> 00:56:04,400
Speaker 1: it or something like, I don't understand.

1130
00:56:04,560 --> 00:56:06,800
Speaker 2: There seems like there was negligence. So this guy was

1131
00:56:06,880 --> 00:56:09,520
Speaker 2: practicing for thirty three years. This article said that the

1132
00:56:09,560 --> 00:56:13,680
Speaker 2: average obgyn faces about two to three lawsuits within their career.

1133
00:56:14,040 --> 00:56:17,160
Speaker 2: This guy had nine, which is about three times with

1134
00:56:17,280 --> 00:56:20,840
Speaker 2: a normal OBG in faces. Also, they talked about another

1135
00:56:20,920 --> 00:56:23,920
Speaker 2: case where he was delivering a baby and then the

1136
00:56:24,360 --> 00:56:27,080
Speaker 2: mother delivering the baby had died and that family had

1137
00:56:27,120 --> 00:56:29,200
Speaker 2: sued him and won a bunch of money. He hasn't

1138
00:56:29,239 --> 00:56:31,560
Speaker 2: paid them yet, so I don't think this family, even

1139
00:56:31,600 --> 00:56:33,719
Speaker 2: though they were awarded one hundred million, is ever going

1140
00:56:33,800 --> 00:56:35,919
Speaker 2: to see a dollar of it, because he still owes

1141
00:56:35,960 --> 00:56:39,520
Speaker 2: these other patients that sued him all this money before then.

1142
00:56:40,160 --> 00:56:43,000
Speaker 1: And I guess it's sad because it was all occurring

1143
00:56:43,040 --> 00:56:46,240
Speaker 1: in his office, so it's not like they could sue

1144
00:56:46,239 --> 00:56:49,080
Speaker 1: the hospital that he was working for, because that's what

1145
00:56:49,239 --> 00:56:51,320
Speaker 1: I thought at first, that this was like a case

1146
00:56:51,320 --> 00:56:54,440
Speaker 1: that was being done at a hospital and thinking like

1147
00:56:55,400 --> 00:56:59,560
Speaker 1: why was that hospital letting this doctor there? No, now

1148
00:56:59,640 --> 00:57:00,200
Speaker 1: it makes.

1149
00:57:00,080 --> 00:57:03,000
Speaker 2: Sense, and it's just I'm under the assumption this was

1150
00:57:03,000 --> 00:57:05,839
Speaker 2: a private practice. So it's I mean, listen, like you,

1151
00:57:06,040 --> 00:57:08,960
Speaker 2: I'm very vocal about this that I'm anti circumcision. I

1152
00:57:09,000 --> 00:57:11,440
Speaker 2: think that the whole entire, this whole entire thing didn't

1153
00:57:11,440 --> 00:57:13,239
Speaker 2: even need to happen, because I don't even think a

1154
00:57:13,239 --> 00:57:14,920
Speaker 2: circumcision needs to happen.

1155
00:57:14,760 --> 00:57:19,560
Speaker 1: Like unless it's under for medical purposes. But like, this

1156
00:57:19,600 --> 00:57:23,280
Speaker 1: is just a weird American thing that that goes on.

1157
00:57:23,400 --> 00:57:25,560
Speaker 2: And it's not just a weird American thing, it's a

1158
00:57:25,600 --> 00:57:28,320
Speaker 2: religious thing in some cultures too, So like you have

1159
00:57:28,360 --> 00:57:30,440
Speaker 2: to respect people that want to stay true to their

1160
00:57:30,440 --> 00:57:31,360
Speaker 2: religion and everything.

1161
00:57:31,480 --> 00:57:34,800
Speaker 1: I respect it. I just don't think just because just

1162
00:57:34,800 --> 00:57:37,520
Speaker 1: because I respect the religion doesn't mean that I agree

1163
00:57:37,560 --> 00:57:40,720
Speaker 1: with it. I just think it's like you're born with it,

1164
00:57:40,880 --> 00:57:43,920
Speaker 1: So why are you removing it? Like it's I don't know,

1165
00:57:44,080 --> 00:57:47,880
Speaker 1: it's it's just like setting up for another problem for

1166
00:57:48,080 --> 00:57:50,400
Speaker 1: that doesn't need to happen, you know what I mean.

1167
00:57:50,560 --> 00:57:54,560
Speaker 2: Yeah, so another doctor in Florida is also under fire

1168
00:57:54,640 --> 00:57:57,560
Speaker 2: if you're removing the wrong organ during a procedure.

1169
00:57:59,160 --> 00:58:01,800
Speaker 1: I read this story like five hundred times. I don't

1170
00:58:01,920 --> 00:58:05,520
Speaker 1: understand how this happened. I just I can't. Like, this

1171
00:58:05,560 --> 00:58:08,200
Speaker 1: guy's a general surgeon. Okay, so you have to go

1172
00:58:08,280 --> 00:58:12,800
Speaker 1: through a certain level of like medical school, residency, surgery fellowship,

1173
00:58:12,880 --> 00:58:16,840
Speaker 1: all of this stuff. How on earth do you not

1174
00:58:17,280 --> 00:58:22,120
Speaker 1: It's not like, Okay, this person had two legs and

1175
00:58:22,200 --> 00:58:25,280
Speaker 1: one of the legs the wrong leg got amputated, right,

1176
00:58:26,080 --> 00:58:27,760
Speaker 1: because it's like a leg and a leg.

1177
00:58:27,800 --> 00:58:29,040
Speaker 3: Okay, still unacceptable.

1178
00:58:29,160 --> 00:58:33,200
Speaker 1: It was still it's still completely unacceptable. But like two

1179
00:58:33,360 --> 00:58:36,200
Speaker 1: legs have the same exact anatomy, except it's kind of

1180
00:58:36,240 --> 00:58:40,200
Speaker 1: like mirror image on each side. Right, How on earth

1181
00:58:40,360 --> 00:58:43,920
Speaker 1: are you going to do surgery on a patient that

1182
00:58:43,960 --> 00:58:48,320
Speaker 1: presents with splenomegle So that's an enlarged spleen. Go in,

1183
00:58:49,000 --> 00:58:52,840
Speaker 1: and you're, by the way, in every single person's anatomy

1184
00:58:52,920 --> 00:58:55,560
Speaker 1: unless you were born with like a condition called citis

1185
00:58:55,560 --> 00:58:58,120
Speaker 1: and versus, which is when your organs are on the

1186
00:58:58,120 --> 00:59:01,960
Speaker 1: opposite sides of your body, which barely anyone ever, right,

1187
00:59:02,720 --> 00:59:06,320
Speaker 1: So on every single human being, your spleen is on

1188
00:59:06,360 --> 00:59:09,440
Speaker 1: the same side of your body as your heart. So

1189
00:59:09,520 --> 00:59:12,720
Speaker 1: how and your liver is on the completely opposite side

1190
00:59:12,720 --> 00:59:15,000
Speaker 1: of your body, How the hell do you take out

1191
00:59:15,040 --> 00:59:17,680
Speaker 1: the wrong organ? Wait, take out the liver instead of

1192
00:59:17,720 --> 00:59:18,120
Speaker 1: the spleen.

1193
00:59:18,200 --> 00:59:20,080
Speaker 2: Yeah, So this would happened as seventy year old man

1194
00:59:20,120 --> 00:59:22,400
Speaker 2: was on vacation with his family. He started having pain

1195
00:59:22,480 --> 00:59:25,040
Speaker 2: in the stomach area, so doctors determined it was his

1196
00:59:25,120 --> 00:59:28,400
Speaker 2: spleen and that he needed this immediate surgery. So during

1197
00:59:28,440 --> 00:59:30,840
Speaker 2: the procedure, the surgeon was supposed to take out this

1198
00:59:30,880 --> 00:59:33,680
Speaker 2: spleen and then took the liver out instead, which is

1199
00:59:34,880 --> 00:59:35,840
Speaker 2: so ridiculous.

1200
00:59:36,480 --> 00:59:39,880
Speaker 1: Now he died right away, Yes, he did die, okay,

1201
00:59:39,960 --> 00:59:44,200
Speaker 1: because this is just like the craziest shit ever to me.

1202
00:59:44,320 --> 00:59:48,240
Speaker 1: So a spleen only has the splenic artery going into it.

1203
00:59:48,240 --> 00:59:50,760
Speaker 1: It's just like one blood vessel and one vein going

1204
00:59:50,800 --> 00:59:54,720
Speaker 1: in and out of it. Right, the liver has the

1205
00:59:54,840 --> 00:59:57,800
Speaker 1: normal circulation going through it as well as the portal

1206
00:59:57,840 --> 01:00:00,360
Speaker 1: circulation going through it, so you would have to caught

1207
01:00:00,400 --> 01:00:03,000
Speaker 1: off multiple other blood vessels just to get it out.

1208
01:00:03,600 --> 01:00:06,520
Speaker 1: So he just hacked it out.

1209
01:00:06,560 --> 01:00:07,160
Speaker 3: Hey, did you see?

1210
01:00:07,160 --> 01:00:08,800
Speaker 1: And that's why the guy bled out like.

1211
01:00:09,160 --> 01:00:10,280
Speaker 3: Did you see what he said?

1212
01:00:10,400 --> 01:00:11,320
Speaker 1: It can't be real?

1213
01:00:11,680 --> 01:00:13,400
Speaker 3: Did you see what he says? Me, reel? Did you

1214
01:00:13,440 --> 01:00:14,160
Speaker 3: see what he said?

1215
01:00:14,160 --> 01:00:16,920
Speaker 2: He told the family that it had the spleen, so

1216
01:00:16,960 --> 01:00:19,720
Speaker 2: they didn't discover until after the patient died what happened.

1217
01:00:19,880 --> 01:00:23,440
Speaker 2: So before they discover what happened, he seriously told the

1218
01:00:23,480 --> 01:00:26,760
Speaker 2: family that it was severely diseased and had enlarged to

1219
01:00:26,840 --> 01:00:29,760
Speaker 2: four times its normal size, even migrating to the other

1220
01:00:29,840 --> 01:00:30,720
Speaker 2: side of the body.

1221
01:00:31,400 --> 01:00:34,280
Speaker 1: And that listen that's possible. I've seen that, okay, Like

1222
01:00:34,640 --> 01:00:36,640
Speaker 1: when you get a really big spleen. You could get

1223
01:00:36,640 --> 01:00:39,960
Speaker 1: a big spleen for all sorts of reasons, like you remember,

1224
01:00:40,080 --> 01:00:42,760
Speaker 1: like when we were younger and someone gets mono and

1225
01:00:42,800 --> 01:00:44,960
Speaker 1: your spleen gets big, and then like you have to

1226
01:00:45,000 --> 01:00:47,680
Speaker 1: be careful because if you're a sports player, it could rupture.

1227
01:00:47,800 --> 01:00:49,800
Speaker 1: Like when the spleen gets really big, you need to

1228
01:00:49,840 --> 01:00:52,400
Speaker 1: take it out because even like an old person, if

1229
01:00:52,400 --> 01:00:54,720
Speaker 1: they have a big spleen and they fall, the thing

1230
01:00:54,760 --> 01:00:56,920
Speaker 1: could just like split in half and cause the person

1231
01:00:56,960 --> 01:00:58,640
Speaker 1: to bleed death, so they have to take it out.

1232
01:00:58,960 --> 01:01:01,520
Speaker 1: You can get it for tumor blood disorders, all sorts

1233
01:01:01,520 --> 01:01:04,919
Speaker 1: of different things. But and it could and you also

1234
01:01:05,040 --> 01:01:08,400
Speaker 1: could get it from portal hypertension. If you have like

1235
01:01:08,480 --> 01:01:11,200
Speaker 1: cirrhosis in your liver, the blood could back up and

1236
01:01:11,240 --> 01:01:14,400
Speaker 1: make this fleen get really big. We we like when

1237
01:01:14,440 --> 01:01:16,280
Speaker 1: we used to do autop season find them all the time.

1238
01:01:16,280 --> 01:01:18,520
Speaker 1: I used to call it like a walrus spleen because

1239
01:01:18,560 --> 01:01:20,919
Speaker 1: it looked like a walrus like it because it got

1240
01:01:21,080 --> 01:01:24,840
Speaker 1: so big that it would squeeze underneath the ribs, which

1241
01:01:24,880 --> 01:01:27,320
Speaker 1: would put like little like lines in it, and it

1242
01:01:27,440 --> 01:01:29,280
Speaker 1: just looked like a and it's kind of like gray.

1243
01:01:29,360 --> 01:01:31,880
Speaker 1: It just looked like a big beached walrus. I don't

1244
01:01:31,920 --> 01:01:35,200
Speaker 1: know how to explain it, but it can. So it

1245
01:01:35,280 --> 01:01:38,000
Speaker 1: is normally supposed to be on the left side of

1246
01:01:38,040 --> 01:01:40,880
Speaker 1: the body, but it could get so big that it

1247
01:01:41,000 --> 01:01:43,920
Speaker 1: like spreads over the line into the right side. But

1248
01:01:44,000 --> 01:01:46,880
Speaker 1: there's always a clear distinction that, like that one's on

1249
01:01:46,960 --> 01:01:49,360
Speaker 1: this side of the body, Like you could see that

1250
01:01:49,440 --> 01:01:52,320
Speaker 1: it's starting on the left side and kind of spreading

1251
01:01:52,360 --> 01:01:56,439
Speaker 1: over to the right versus like originating on the right side.

1252
01:01:56,480 --> 01:02:00,880
Speaker 1: You could just tell. It's just it. It sounds like

1253
01:02:00,920 --> 01:02:04,720
Speaker 1: it's a fake story, because that's how crazy this is

1254
01:02:04,760 --> 01:02:05,000
Speaker 1: to me.

1255
01:02:05,560 --> 01:02:08,760
Speaker 2: Sorry for this dumb question. Also, but aren't some organs

1256
01:02:08,800 --> 01:02:12,440
Speaker 2: like different colors? Like aren't livers tend to be like

1257
01:02:12,480 --> 01:02:13,920
Speaker 2: a darker purple color?

1258
01:02:14,440 --> 01:02:15,120
Speaker 3: What color is this?

1259
01:02:15,800 --> 01:02:18,280
Speaker 1: It just it depends and I don't know what They

1260
01:02:18,280 --> 01:02:23,000
Speaker 1: don't really ever say what the pathology was. But yeah,

1261
01:02:23,120 --> 01:02:27,000
Speaker 1: like a person like me that does autopsies and seen

1262
01:02:27,960 --> 01:02:30,400
Speaker 1: hundreds and hundreds of hundreds of people's organs, you could

1263
01:02:30,440 --> 01:02:33,160
Speaker 1: definitely like throw them all in a bin and I

1264
01:02:33,200 --> 01:02:35,160
Speaker 1: would be like this one, I don't even need to

1265
01:02:35,160 --> 01:02:37,360
Speaker 1: look at it in the body, like I could be like,

1266
01:02:37,480 --> 01:02:40,560
Speaker 1: this is this, this is this, like and a surgeon

1267
01:02:40,800 --> 01:02:43,760
Speaker 1: should definitely be able to do that too, right. I

1268
01:02:43,800 --> 01:02:47,680
Speaker 1: don't know, Like if you even said it autopsy, Hey

1269
01:02:48,200 --> 01:02:52,240
Speaker 1: take out this person's spleen and I handed you the liver,

1270
01:02:52,320 --> 01:02:54,520
Speaker 1: you'd be like, you're a moron. And that's like the

1271
01:02:54,560 --> 01:02:56,480
Speaker 1: person's dead and I'm not even trying to keep the

1272
01:02:56,520 --> 01:03:00,800
Speaker 1: person alive, like what. I don't understand how this happened.

1273
01:03:00,840 --> 01:03:04,160
Speaker 1: I don't know, but it's very so outrageous it is,

1274
01:03:04,240 --> 01:03:07,120
Speaker 1: and and there has to be It's not like this

1275
01:03:07,200 --> 01:03:09,320
Speaker 1: dude was like mister perfect surgeon and then all of

1276
01:03:09,360 --> 01:03:12,200
Speaker 1: a sudden did this big mistake. It's it's not possible.

1277
01:03:12,280 --> 01:03:14,840
Speaker 1: Like there's probably so many other people that have had

1278
01:03:14,880 --> 01:03:15,560
Speaker 1: issues with this.

1279
01:03:15,560 --> 01:03:18,160
Speaker 3: Dude, so it'll come out. Especially with this one.

1280
01:03:18,280 --> 01:03:20,880
Speaker 1: I'm I'm like kind of jealous of the people that

1281
01:03:20,920 --> 01:03:24,320
Speaker 1: did this autopsy actually, because so this guy dies door

1282
01:03:24,320 --> 01:03:26,520
Speaker 1: in surgery. And if you if a patient dies do

1283
01:03:26,600 --> 01:03:29,040
Speaker 1: in surgery, they'll call the medical examiner and say like, hey,

1284
01:03:29,040 --> 01:03:32,680
Speaker 1: this person died do or procedure, And usually a medical

1285
01:03:32,680 --> 01:03:34,280
Speaker 1: examiner will be like, all right, we need to check

1286
01:03:34,320 --> 01:03:36,240
Speaker 1: this out just to make sure that something like this

1287
01:03:36,520 --> 01:03:40,040
Speaker 1: is didn't happen some major like negligent malpractice case.

1288
01:03:40,120 --> 01:03:42,520
Speaker 2: Right, They don't want somebody working at the hospital also

1289
01:03:42,600 --> 01:03:43,160
Speaker 2: covering it up.

1290
01:03:43,240 --> 01:03:47,200
Speaker 1: I'm sure too, exactly. So they call, they do the autopsy,

1291
01:03:47,360 --> 01:03:50,080
Speaker 1: and I can't even imagine the person that was eviscerating

1292
01:03:50,080 --> 01:03:52,040
Speaker 1: this person and was just like, oh my god, their

1293
01:03:52,120 --> 01:03:56,840
Speaker 1: spleen is still here after, Like, I can't imagine just

1294
01:03:56,960 --> 01:03:59,240
Speaker 1: the shock of doing that autopsy.

1295
01:03:59,280 --> 01:04:01,880
Speaker 3: So all right, harness me a little jealous.

1296
01:04:01,920 --> 01:04:05,760
Speaker 1: Honestly, they're like my favorite kinds. Okay, all right.

1297
01:04:05,960 --> 01:04:08,479
Speaker 2: N X ray In Beiru, a thirty eight year old

1298
01:04:08,520 --> 01:04:11,640
Speaker 2: man went to the doctor after he was facing redness, swelling,

1299
01:04:11,800 --> 01:04:14,080
Speaker 2: and scabbing on his penis for a few days, and

1300
01:04:14,120 --> 01:04:17,720
Speaker 2: he also had severe diarrhea and vomiting. So they swabbed

1301
01:04:17,720 --> 01:04:20,320
Speaker 2: his penis to see what the infection was, and what

1302
01:04:20,640 --> 01:04:23,320
Speaker 2: was it. You don't want to try to pronounce him,

1303
01:04:23,400 --> 01:04:28,120
Speaker 2: no way, it's not even hard. It's Bacilla cyrus anyway,

1304
01:04:28,160 --> 01:04:31,200
Speaker 2: It's it's a. It's a it's a certain kind of

1305
01:04:31,320 --> 01:04:36,200
Speaker 2: bacteria that is usually found in rice especially. You know

1306
01:04:36,280 --> 01:04:38,560
Speaker 2: that that's one of the ones that you you would

1307
01:04:38,600 --> 01:04:40,520
Speaker 2: think if you had rice right and you left it

1308
01:04:40,560 --> 01:04:43,400
Speaker 2: on the counter like overnight, it's like totally safety eat.

1309
01:04:43,440 --> 01:04:46,480
Speaker 2: But that's that's like one of the weird bacterias that

1310
01:04:46,520 --> 01:04:48,400
Speaker 2: could grow in rice if you leave it out for

1311
01:04:48,480 --> 01:04:52,840
Speaker 2: too long. But they're saying that this particular case is

1312
01:04:52,960 --> 01:04:57,520
Speaker 2: very interesting because that bacteria causes food poisoning. So how

1313
01:04:57,720 --> 01:05:01,680
Speaker 2: is it How are they culturing it from an infection

1314
01:05:02,040 --> 01:05:06,280
Speaker 2: site in the penis? And when they did some further investigation,

1315
01:05:06,480 --> 01:05:11,760
Speaker 2: they found out that right before he got this food poisoning,

1316
01:05:11,840 --> 01:05:15,440
Speaker 2: he had vigorous sex, which would have like kind of

1317
01:05:15,440 --> 01:05:19,120
Speaker 2: sloughed the skin off of the penis, right, which leaves

1318
01:05:19,200 --> 01:05:22,280
Speaker 2: the skin is. You know, we were talking the other

1319
01:05:22,360 --> 01:05:24,400
Speaker 2: day about how the skin is an organ and how

1320
01:05:24,440 --> 01:05:25,400
Speaker 2: it's your barrier.

1321
01:05:25,440 --> 01:05:29,000
Speaker 1: It's a protection. Well, when you take off those layers

1322
01:05:29,040 --> 01:05:32,640
Speaker 1: of the barrier, then all of a sudden, bacteria has

1323
01:05:33,120 --> 01:05:37,160
Speaker 1: an easier way to get into your body. And this

1324
01:05:37,320 --> 01:05:40,160
Speaker 1: is really nasty. But like when this guy had this

1325
01:05:40,360 --> 01:05:43,760
Speaker 1: infection and he was having like this diarrhea come out

1326
01:05:43,800 --> 01:05:46,920
Speaker 1: of his butt and his penis like hanging in the

1327
01:05:46,960 --> 01:05:50,560
Speaker 1: toilet at the same time, that bacteria got into these

1328
01:05:50,600 --> 01:05:53,120
Speaker 1: open wounds on his penis and that's what caused it

1329
01:05:53,480 --> 01:05:55,440
Speaker 1: to start growing in his penis.

1330
01:05:55,520 --> 01:06:00,120
Speaker 2: The body is so crazy, like the way it handles

1331
01:06:00,160 --> 01:06:00,720
Speaker 2: so gross.

1332
01:06:01,200 --> 01:06:04,720
Speaker 1: The craziest part for the for of this story to

1333
01:06:04,760 --> 01:06:06,760
Speaker 1: me is that they're saying that this is the first

1334
01:06:06,880 --> 01:06:10,280
Speaker 1: known case of like having food poisoning in the penis,

1335
01:06:10,320 --> 01:06:13,600
Speaker 1: and I just like don't buy it because like a

1336
01:06:13,640 --> 01:06:17,880
Speaker 1: penis is hanging like close to a butt where there's diarrye,

1337
01:06:17,920 --> 01:06:19,320
Speaker 1: like it's had to happen before.

1338
01:06:19,560 --> 01:06:22,320
Speaker 2: Well, maybe this is just the first documented one. There's

1339
01:06:22,320 --> 01:06:25,920
Speaker 2: no way this is the first ever, no absolutely or

1340
01:06:26,000 --> 01:06:28,520
Speaker 2: the first case published in a medical journal like the

1341
01:06:28,840 --> 01:06:29,880
Speaker 2: Yeare's exactly.

1342
01:06:30,000 --> 01:06:32,200
Speaker 1: Like I'm like, there's just no, there's no way. I

1343
01:06:32,280 --> 01:06:35,000
Speaker 1: just I don't believe it. I mean men, so when

1344
01:06:35,040 --> 01:06:37,960
Speaker 1: men have sex, typically if you were talking about like

1345
01:06:38,000 --> 01:06:41,000
Speaker 1: a male versus a female having sex, women get injured

1346
01:06:41,000 --> 01:06:44,520
Speaker 1: way more because like their bads could rip open, you

1347
01:06:44,520 --> 01:06:46,240
Speaker 1: know what I mean, Like it's like you're dry, you

1348
01:06:46,320 --> 01:06:48,840
Speaker 1: rip the inside a little bit, like there's all there's

1349
01:06:48,880 --> 01:06:51,720
Speaker 1: always like a soreness and a redness and open wounds

1350
01:06:51,760 --> 01:06:55,400
Speaker 1: after sex with like a it's just more increased with

1351
01:06:55,440 --> 01:06:59,040
Speaker 1: a female versus a male. Right, So it definitely like

1352
01:06:59,120 --> 01:07:03,440
Speaker 1: wouldn't be as and also like a man's penis is

1353
01:07:03,480 --> 01:07:06,320
Speaker 1: way further away from their anus than like a vagina is.

1354
01:07:07,080 --> 01:07:10,560
Speaker 1: You know, so obviously like this could happen more often,

1355
01:07:11,000 --> 01:07:15,480
Speaker 1: but like it's not impossible. I don't think so anyway, Okay.

1356
01:07:15,480 --> 01:07:19,320
Speaker 2: According to new research from USC, new technology is available

1357
01:07:19,360 --> 01:07:21,919
Speaker 2: to detect missing bacteria in infections.

1358
01:07:22,800 --> 01:07:25,600
Speaker 1: This is really cool. So when you get surgery, one

1359
01:07:25,640 --> 01:07:29,080
Speaker 1: of the biggest risks that come with the surgery is

1360
01:07:29,120 --> 01:07:32,320
Speaker 1: that you can get an infection with a surgery, and

1361
01:07:32,880 --> 01:07:37,520
Speaker 1: a lot of times it's because obviously doctors can't see

1362
01:07:37,680 --> 01:07:40,720
Speaker 1: bacteria with their eyes because it's microscopic, so they just

1363
01:07:40,800 --> 01:07:43,360
Speaker 1: have to use all the techniques that they know and

1364
01:07:43,400 --> 01:07:47,640
Speaker 1: clean the wounds out as good as possible before suturing

1365
01:07:47,680 --> 01:07:50,760
Speaker 1: someone up, and that could potentially lead to infections. So

1366
01:07:50,840 --> 01:07:54,760
Speaker 1: this new technology that they developed is using a light

1367
01:07:55,320 --> 01:07:58,720
Speaker 1: that can detect bacteria that the human eye can't detect.

1368
01:07:58,840 --> 01:08:01,240
Speaker 1: So if they use this light on a wound they're

1369
01:08:01,240 --> 01:08:04,000
Speaker 1: getting ready to suit your up, or even a wound

1370
01:08:04,000 --> 01:08:06,720
Speaker 1: that's not healing, and they could see the bacteria there,

1371
01:08:06,800 --> 01:08:09,120
Speaker 1: then they know they can like clean it out better

1372
01:08:09,280 --> 01:08:12,960
Speaker 1: and this could possibly like, really be life changing when

1373
01:08:13,000 --> 01:08:15,400
Speaker 1: it comes to healing from a surgery.

1374
01:08:15,960 --> 01:08:18,200
Speaker 2: Yeah, it's super cool. I think this is going to

1375
01:08:18,280 --> 01:08:21,920
Speaker 2: be a really awesome advancement in technology, and I hope

1376
01:08:21,920 --> 01:08:23,040
Speaker 2: they start using it more.

1377
01:08:23,800 --> 01:08:26,800
Speaker 1: Yeah, I do too, cause you know, it's not just

1378
01:08:26,880 --> 01:08:30,839
Speaker 1: getting a localized infection that's the problem with a wound.

1379
01:08:30,960 --> 01:08:34,000
Speaker 1: It's more of like how the biggest problem is that

1380
01:08:34,040 --> 01:08:36,240
Speaker 1: it could spread into your bloodstream and then it could

1381
01:08:36,240 --> 01:08:41,040
Speaker 1: give you sepsis and that's life threatening. So it could

1382
01:08:41,040 --> 01:08:43,720
Speaker 1: really be life changing. I'm really curious to see how

1383
01:08:43,720 --> 01:08:44,840
Speaker 1: it works. It looks really cool.

1384
01:08:44,880 --> 01:08:45,439
Speaker 3: Yeah, it does.

1385
01:08:46,640 --> 01:08:48,519
Speaker 1: All right, let's get into other death news.

1386
01:08:49,040 --> 01:08:52,519
Speaker 2: So a quote near death expert has come out to

1387
01:08:52,560 --> 01:08:55,200
Speaker 2: say that death may be reversible.

1388
01:08:56,439 --> 01:08:59,040
Speaker 1: I like his theory. He's just kind of like if

1389
01:08:59,080 --> 01:09:01,800
Speaker 1: I have a heart attack, Like, why do I have

1390
01:09:01,880 --> 01:09:03,639
Speaker 1: to die right now? I don't want to die right

1391
01:09:04,120 --> 01:09:06,960
Speaker 1: And he's using all these examples and he kind of

1392
01:09:07,120 --> 01:09:09,120
Speaker 1: has a point. There's been a lot of studies done

1393
01:09:09,479 --> 01:09:13,440
Speaker 1: that say that people who have had near death experiences

1394
01:09:13,479 --> 01:09:17,679
Speaker 1: still claim that they have memories that after they had

1395
01:09:17,800 --> 01:09:20,960
Speaker 1: let's say, cardiac arrests or something like that, and it

1396
01:09:21,080 --> 01:09:23,960
Speaker 1: is true, like they could they could document that because

1397
01:09:24,000 --> 01:09:26,719
Speaker 1: they you know, they know when a person, what time

1398
01:09:26,760 --> 01:09:29,200
Speaker 1: a person had cardiac arrest, and if they're saying things

1399
01:09:29,200 --> 01:09:32,320
Speaker 1: that happened afterwards, like and they were unconscious, like how

1400
01:09:32,360 --> 01:09:35,720
Speaker 1: would they know otherwise, right, So it's it's really cool.

1401
01:09:35,760 --> 01:09:38,599
Speaker 1: And they've they did a study which is super gruesome,

1402
01:09:39,000 --> 01:09:43,240
Speaker 1: but they amputated the heads off of pigs and saw

1403
01:09:43,280 --> 01:09:47,200
Speaker 1: that they were having brain activity up to fourteen hours

1404
01:09:47,240 --> 01:09:51,320
Speaker 1: after they were beheaded. So this doctor seems to think

1405
01:09:51,360 --> 01:09:55,520
Speaker 1: that like your brain is still kind of like developing

1406
01:09:56,280 --> 01:10:00,920
Speaker 1: thoughts as it's not technically on anymore. Which listen, Like

1407
01:10:01,320 --> 01:10:04,440
Speaker 1: I've always thought about this because sometimes I've done autopsies

1408
01:10:04,479 --> 01:10:07,360
Speaker 1: on people that are like very freshly dead within an hour,

1409
01:10:08,000 --> 01:10:10,920
Speaker 1: and I it scheves me out number one because they're warm.

1410
01:10:10,960 --> 01:10:13,080
Speaker 1: And I just think that that's weird because whenever I

1411
01:10:13,120 --> 01:10:15,200
Speaker 1: do an autopsy, I just want the person to be cold.

1412
01:10:15,680 --> 01:10:18,000
Speaker 1: But on top of that, I always would think like

1413
01:10:18,360 --> 01:10:21,280
Speaker 1: what if, just like what if it's still not off

1414
01:10:21,360 --> 01:10:23,519
Speaker 1: all the way yet? Like I didn't even know about

1415
01:10:23,520 --> 01:10:25,559
Speaker 1: any of this research. I was just think about that,

1416
01:10:25,640 --> 01:10:29,040
Speaker 1: like it just disturbed me a little bit. I don't know,

1417
01:10:29,479 --> 01:10:32,519
Speaker 1: but it's interesting that this is actually a real thing.

1418
01:10:32,600 --> 01:10:36,320
Speaker 1: And he's saying when there's things out there like something

1419
01:10:36,360 --> 01:10:39,720
Speaker 1: called ekmo, which is what it pumps your heart and

1420
01:10:40,040 --> 01:10:43,400
Speaker 1: your makes your lungs work when yours can't. And there's

1421
01:10:43,439 --> 01:10:47,320
Speaker 1: also different what he calls a CPR cocktail, which consists

1422
01:10:47,320 --> 01:10:49,759
Speaker 1: of multiple drugs that could keep you kind of going

1423
01:10:50,520 --> 01:10:54,720
Speaker 1: like why not, why do you have to die? I

1424
01:10:54,720 --> 01:10:58,599
Speaker 1: don't know. It just it's it's very iffy because when

1425
01:10:58,600 --> 01:11:00,639
Speaker 1: we're trying to keep a bunch of peace people alive

1426
01:11:00,800 --> 01:11:03,120
Speaker 1: that need to die, then like the world's going to

1427
01:11:03,200 --> 01:11:05,280
Speaker 1: get over populated really fast.

1428
01:11:05,439 --> 01:11:08,439
Speaker 2: Well I was thinking that, And also like for a normal,

1429
01:11:08,680 --> 01:11:11,800
Speaker 2: good law abiding citizen that might have an incident, it's

1430
01:11:11,880 --> 01:11:15,519
Speaker 2: cool to revive them, but what if, you know, we

1431
01:11:15,600 --> 01:11:18,599
Speaker 2: take out an evil person and then somebody is able

1432
01:11:18,640 --> 01:11:19,400
Speaker 2: to revive them.

1433
01:11:19,439 --> 01:11:20,320
Speaker 3: I don't really like.

1434
01:11:20,320 --> 01:11:22,840
Speaker 2: That that's a possibility because you just have to think

1435
01:11:22,880 --> 01:11:25,439
Speaker 2: that everything made for good at some point will also

1436
01:11:25,520 --> 01:11:26,439
Speaker 2: be used for evil.

1437
01:11:26,600 --> 01:11:30,200
Speaker 1: So oh yeah, it will. It's just I mean, with

1438
01:11:30,360 --> 01:11:34,000
Speaker 1: all of these different studies, it's the same thing I

1439
01:11:34,040 --> 01:11:36,479
Speaker 1: think about when you could pick the color of your

1440
01:11:36,600 --> 01:11:39,000
Speaker 1: kid's eyes and what color hair they're going to have,

1441
01:11:39,040 --> 01:11:41,559
Speaker 1: and all this stuff. I think it's cool from a

1442
01:11:41,600 --> 01:11:45,120
Speaker 1: scientific perspective that people can manipulate things in order to

1443
01:11:46,120 --> 01:11:49,360
Speaker 1: go against nature, but I don't think that they should

1444
01:11:50,000 --> 01:11:53,520
Speaker 1: just because you you know, this is like the Jurassic

1445
01:11:53,560 --> 01:11:56,479
Speaker 1: Park line is just like forever genius. You know, just

1446
01:11:56,520 --> 01:11:58,639
Speaker 1: because you can doesn't mean you should kind of thing.

1447
01:11:58,720 --> 01:12:00,320
Speaker 3: So it is.

1448
01:12:00,400 --> 01:12:03,160
Speaker 1: It is interesting though. I like this article just bringing

1449
01:12:03,240 --> 01:12:06,280
Speaker 1: up these points. Yeah, okay, onto Questions of the Day.

1450
01:12:06,320 --> 01:12:09,040
Speaker 1: Every Friday at the at Mother Nose Death Instagram account,

1451
01:12:09,080 --> 01:12:10,920
Speaker 1: we put a story up where you guys can ask

1452
01:12:10,960 --> 01:12:14,320
Speaker 1: us whatever questions you want. First, how long does it

1453
01:12:14,360 --> 01:12:17,280
Speaker 1: take to receive results from a biopsy at the hospital.

1454
01:12:18,800 --> 01:12:22,240
Speaker 1: So that depends because you could take a biopsy from

1455
01:12:22,280 --> 01:12:26,080
Speaker 1: any different organ, body, site, anything like that, and they're

1456
01:12:26,360 --> 01:12:29,559
Speaker 1: treated differently according to what it is. So let's say

1457
01:12:29,600 --> 01:12:33,599
Speaker 1: you just go and get a routine colonoscopy, those ones

1458
01:12:34,320 --> 01:12:37,639
Speaker 1: usually could take the longest. Sometimes if it's if you're

1459
01:12:37,720 --> 01:12:41,000
Speaker 1: just not really looking for anything, that's super stat because

1460
01:12:41,040 --> 01:12:45,479
Speaker 1: all of the ones that our priority would obviously be

1461
01:12:45,640 --> 01:12:49,320
Speaker 1: done before that. But biopsy still usually get done pretty

1462
01:12:49,360 --> 01:12:54,720
Speaker 1: fast in most labs. So if you just want to

1463
01:12:54,840 --> 01:12:57,880
Speaker 1: get the biopsy done so it will get to the

1464
01:12:57,960 --> 01:13:01,000
Speaker 1: lab and then it goes on the missie overnight and

1465
01:13:01,040 --> 01:13:03,680
Speaker 1: then when it comes out the next day, sometimes a

1466
01:13:03,720 --> 01:13:05,439
Speaker 1: doctor could look at it the next day. You could

1467
01:13:05,479 --> 01:13:09,800
Speaker 1: get it in as quick as twenty four hours oftentimes

1468
01:13:09,840 --> 01:13:12,280
Speaker 1: if you do something where your need to look at

1469
01:13:12,320 --> 01:13:14,439
Speaker 1: it right away. When were we talking about this, I

1470
01:13:14,439 --> 01:13:18,160
Speaker 1: feel like we were talking about this with someone having

1471
01:13:18,200 --> 01:13:20,800
Speaker 1: a drug or reaction. Were we talking about that here

1472
01:13:21,000 --> 01:13:22,160
Speaker 1: or in a gross room post?

1473
01:13:22,320 --> 01:13:23,200
Speaker 3: Probably it was.

1474
01:13:23,200 --> 01:13:25,320
Speaker 1: A gross It was a grossroom post actually that I

1475
01:13:25,360 --> 01:13:27,800
Speaker 1: wrote the other day. We were talking. So if a

1476
01:13:27,800 --> 01:13:30,600
Speaker 1: person is suspected to be having a drug reaction to

1477
01:13:30,680 --> 01:13:34,120
Speaker 1: a medication, they will do a biopsy of the skin

1478
01:13:34,280 --> 01:13:36,040
Speaker 1: and they will send it to us stat and then

1479
01:13:36,040 --> 01:13:38,280
Speaker 1: we could have it done like really really fast because

1480
01:13:38,320 --> 01:13:41,040
Speaker 1: they need the time is of the essence with those

1481
01:13:41,080 --> 01:13:45,240
Speaker 1: particular ones. But for a routine like colonoscopy biopsy, you

1482
01:13:45,240 --> 01:13:47,400
Speaker 1: could get it anywhere from like twenty four hours. I

1483
01:13:47,400 --> 01:13:50,200
Speaker 1: mean technically they could do it that fast, but sometimes

1484
01:13:50,200 --> 01:13:53,800
Speaker 1: it takes days depending on where it goes. And then

1485
01:13:53,800 --> 01:13:55,800
Speaker 1: in other cases too, like if they do a GI

1486
01:13:55,840 --> 01:13:58,960
Speaker 1: biopsy and they're looking for H. Pylori, which is a

1487
01:13:58,960 --> 01:14:01,840
Speaker 1: bacteria that is to cause stomach ulcers and could lead

1488
01:14:01,880 --> 01:14:05,040
Speaker 1: to stomach cancer as well. That one gets a special stain.

1489
01:14:05,120 --> 01:14:07,559
Speaker 1: So sometimes when anything gets a special stain, that could

1490
01:14:07,560 --> 01:14:09,680
Speaker 1: like add a day on and then if they do

1491
01:14:09,760 --> 01:14:12,479
Speaker 1: a biopsy and it looks like it has cancer there,

1492
01:14:12,560 --> 01:14:15,160
Speaker 1: they'll do other stains immuno historo chemistry on it to

1493
01:14:15,200 --> 01:14:18,400
Speaker 1: see if like where the tumor's coming from. That can

1494
01:14:18,479 --> 01:14:21,720
Speaker 1: make it take a couple more days too. So it

1495
01:14:21,960 --> 01:14:24,639
Speaker 1: just sorry, I can't really give you a clear answer,

1496
01:14:24,720 --> 01:14:28,479
Speaker 1: like that's not happening here. It just it depends what

1497
01:14:28,560 --> 01:14:30,840
Speaker 1: body sight it is, it depends what hospital goes to,

1498
01:14:30,880 --> 01:14:33,080
Speaker 1: and it depends if it needs stains or not. That's

1499
01:14:33,120 --> 01:14:33,599
Speaker 1: your answer.

1500
01:14:33,760 --> 01:14:36,840
Speaker 2: Okay, Next, what happens with an autopsy if the person

1501
01:14:36,880 --> 01:14:38,439
Speaker 2: has donated their organs.

1502
01:14:39,760 --> 01:14:44,240
Speaker 1: Oh, that's a good question. So if the person's donating

1503
01:14:45,280 --> 01:14:48,720
Speaker 1: like their heart. I don't know if you guys know this,

1504
01:14:48,840 --> 01:14:52,479
Speaker 1: but when you're donating like major organs, they need to

1505
01:14:52,560 --> 01:14:59,360
Speaker 1: be fresh off of a person that's legally dead but

1506
01:14:59,439 --> 01:15:01,800
Speaker 1: still not so they're hooked up the machine still and

1507
01:15:01,800 --> 01:15:06,120
Speaker 1: they're still alive, but they've been declared dead. So they

1508
01:15:06,200 --> 01:15:09,120
Speaker 1: take those organs from people right away because they're going

1509
01:15:09,160 --> 01:15:11,640
Speaker 1: to transplant them in somebody else. They need to be

1510
01:15:11,760 --> 01:15:16,360
Speaker 1: like hot off the press, right, So we don't do

1511
01:15:16,439 --> 01:15:20,479
Speaker 1: the autopsy until after that's done. Now, there's been times

1512
01:15:20,520 --> 01:15:23,040
Speaker 1: where which I'll never forget. One time I had an

1513
01:15:23,080 --> 01:15:25,880
Speaker 1: autopsy that was a person that had a suspected pulmonary

1514
01:15:26,439 --> 01:15:29,599
Speaker 1: embolism or they were looking for something in the heart there,

1515
01:15:30,120 --> 01:15:33,559
Speaker 1: and then they wanted to send the heart for they

1516
01:15:33,560 --> 01:15:36,280
Speaker 1: were doing it for an organ transplant. I don't even

1517
01:15:36,320 --> 01:15:38,479
Speaker 1: know in that case that they would determine that that

1518
01:15:38,600 --> 01:15:41,519
Speaker 1: heart would even be viable. But I don't know if

1519
01:15:41,520 --> 01:15:43,240
Speaker 1: they were going to use it for research or whatever.

1520
01:15:43,280 --> 01:15:47,600
Speaker 1: But they took the heart out before we got the body.

1521
01:15:47,000 --> 01:15:49,640
Speaker 1: That's all I want to say. Well, how am I

1522
01:15:49,840 --> 01:15:52,920
Speaker 1: supposed to look for anything anatomic that's going on in

1523
01:15:52,920 --> 01:15:55,840
Speaker 1: that region when they've already removed it. You know, So

1524
01:15:55,880 --> 01:16:00,800
Speaker 1: there's limitations to the autopsy. But let's say, I don't

1525
01:16:00,800 --> 01:16:03,280
Speaker 1: even know what an example would be. Usually when the

1526
01:16:03,320 --> 01:16:07,839
Speaker 1: person is an organ donor, we rarely would have gotten

1527
01:16:08,080 --> 01:16:11,799
Speaker 1: the autopsy on them. We do get people that donate

1528
01:16:11,840 --> 01:16:15,120
Speaker 1: skin and bones get that for an autopsy a lot.

1529
01:16:15,439 --> 01:16:18,160
Speaker 1: So sometimes you know, you'll flip over a patient that's

1530
01:16:18,160 --> 01:16:22,240
Speaker 1: had donated their skin and they have no skin on

1531
01:16:22,280 --> 01:16:24,240
Speaker 1: their back when we flip them over to look at

1532
01:16:24,240 --> 01:16:27,439
Speaker 1: their back, or they donated their bones and they have

1533
01:16:27,640 --> 01:16:31,000
Speaker 1: like PVC pipes stuck in their legs now in the

1534
01:16:31,000 --> 01:16:33,639
Speaker 1: place where their bones were, and they're kind of it's

1535
01:16:33,760 --> 01:16:37,200
Speaker 1: very It kind of sucks for autopsy because it's they're

1536
01:16:37,200 --> 01:16:39,880
Speaker 1: almost like a rag doll. It's like very hard to

1537
01:16:39,880 --> 01:16:42,000
Speaker 1: move their body because they don't have these like firm

1538
01:16:42,160 --> 01:16:45,200
Speaker 1: bones in there that they used to have. And then

1539
01:16:45,280 --> 01:16:48,080
Speaker 1: other times, like donating cornias and stuff like that could

1540
01:16:48,080 --> 01:16:51,280
Speaker 1: be done later, like after we do the autopsy.

1541
01:16:51,439 --> 01:16:59,799
Speaker 2: Interesting, all right, last, are you guys really into Halloween? Yeah?

1542
01:17:00,000 --> 01:17:01,640
Speaker 1: I guess, And no, I guess. I feel like I

1543
01:17:01,720 --> 01:17:03,559
Speaker 1: was way more into it when I was younger.

1544
01:17:04,360 --> 01:17:07,520
Speaker 2: Yeah, I like, personally, I'm not really.

1545
01:17:07,240 --> 01:17:07,960
Speaker 3: That into it.

1546
01:17:08,080 --> 01:17:12,240
Speaker 2: I do very minimal decorations, but that's mostly because I

1547
01:17:12,280 --> 01:17:14,719
Speaker 2: also find it kind of hard to decorate. I equate

1548
01:17:14,840 --> 01:17:19,519
Speaker 2: my interior design to a Boca Raton retirement home.

1549
01:17:19,400 --> 01:17:20,320
Speaker 3: In my living room.

1550
01:17:20,680 --> 01:17:25,439
Speaker 2: So my living room is very bright yellow and pink

1551
01:17:25,479 --> 01:17:27,240
Speaker 2: and blue, and there's not you get.

1552
01:17:27,120 --> 01:17:29,400
Speaker 1: Those flamingos that are like skeletons.

1553
01:17:30,400 --> 01:17:32,840
Speaker 2: Maybe I don't know, like and something about those I

1554
01:17:32,920 --> 01:17:34,559
Speaker 2: just don't like. I don't know, I'm just I'm not

1555
01:17:34,640 --> 01:17:37,479
Speaker 2: super into the Halloween. Actually, Target the dollar section this

1556
01:17:37,560 --> 01:17:40,320
Speaker 2: year had disco ball spiders and pumpkins and stuff, and

1557
01:17:40,360 --> 01:17:43,439
Speaker 2: I'm like, wow, I could actually match my home decor.

1558
01:17:43,800 --> 01:17:46,120
Speaker 1: We could probably get those pink ones and like paint

1559
01:17:46,160 --> 01:17:48,200
Speaker 1: our own skull, I know, because the black is like

1560
01:17:48,240 --> 01:17:51,240
Speaker 1: harsh in your house, that's what you're saying. Yeah, but

1561
01:17:51,320 --> 01:17:53,719
Speaker 1: we could probably get the pink ones and like paint

1562
01:17:53,720 --> 01:17:55,960
Speaker 1: a skeleton on it and that would probably look cute,

1563
01:17:55,960 --> 01:17:57,720
Speaker 1: like you could make your own thing, you know. Yeah,

1564
01:17:57,760 --> 01:17:58,000
Speaker 1: I have.

1565
01:17:58,200 --> 01:18:01,040
Speaker 2: I do decorate, but I'm not into the holiday itself.

1566
01:18:01,080 --> 01:18:03,599
Speaker 2: I don't like dressing up because a couple of times

1567
01:18:03,640 --> 01:18:06,120
Speaker 2: a year I go to parties. I feel like I

1568
01:18:06,160 --> 01:18:09,240
Speaker 2: always like overdress or overdo, and not a lot of

1569
01:18:09,280 --> 01:18:09,679
Speaker 2: other people.

1570
01:18:09,840 --> 01:18:12,799
Speaker 1: I like the dressing part of it. I feel, especially

1571
01:18:12,840 --> 01:18:15,280
Speaker 1: with the kids, like I go over and above an

1572
01:18:15,320 --> 01:18:19,439
Speaker 1: extra with everything with their costumes and decorating like I would.

1573
01:18:19,479 --> 01:18:22,800
Speaker 1: But we don't have a ton of space in our

1574
01:18:22,840 --> 01:18:25,519
Speaker 1: house for all. Like Gabe has already yelled at me

1575
01:18:25,560 --> 01:18:27,960
Speaker 1: and said, like we need to reduce all of these

1576
01:18:28,080 --> 01:18:30,760
Speaker 1: yellow bins that we have with all the decorations in it.

1577
01:18:30,800 --> 01:18:34,639
Speaker 1: He's like, there's no reason that we need this much

1578
01:18:34,640 --> 01:18:39,840
Speaker 1: storage for decorations. But like Christmas and Halloween are a

1579
01:18:39,840 --> 01:18:41,559
Speaker 1: lot of decorations. What could I say?

1580
01:18:41,800 --> 01:18:43,840
Speaker 2: I think when I have kids, I'll be more into

1581
01:18:43,880 --> 01:18:45,920
Speaker 2: it because it's like you're dressing them up, you take

1582
01:18:46,000 --> 01:18:48,439
Speaker 2: them out, you know, it's fun. Like when I mean,

1583
01:18:48,479 --> 01:18:52,679
Speaker 2: the girls are older now, so I don't like, they're teenagers, so.

1584
01:18:52,640 --> 01:18:56,120
Speaker 3: Like I move for them. But no, when they were they.

1585
01:18:56,040 --> 01:18:59,000
Speaker 1: Are they're nine and eleven, there are nowhere seen.

1586
01:18:59,120 --> 01:18:59,719
Speaker 3: I'm joking.

1587
01:19:00,200 --> 01:19:02,400
Speaker 2: When they were like really little though, and like we

1588
01:19:02,400 --> 01:19:05,479
Speaker 2: weren't used to having like toddlers around because there was

1589
01:19:05,520 --> 01:19:07,920
Speaker 2: such an age gap between me and them, it was

1590
01:19:07,960 --> 01:19:11,000
Speaker 2: really fun dressing up their like chunky little bodies and stuff.

1591
01:19:11,040 --> 01:19:13,479
Speaker 2: And then they always had like matching outfits and we

1592
01:19:13,520 --> 01:19:16,280
Speaker 2: did funny makeup. Like I always look at the picture

1593
01:19:16,320 --> 01:19:18,880
Speaker 2: of the year that they were the cheshire Cat and

1594
01:19:18,920 --> 01:19:20,120
Speaker 2: the Queen of Arts.

1595
01:19:20,120 --> 01:19:22,320
Speaker 1: So I think it's like, oh, when Lulu like cried

1596
01:19:22,360 --> 01:19:24,320
Speaker 1: and all the makeup was around her face and she

1597
01:19:24,439 --> 01:19:25,640
Speaker 1: looked insane.

1598
01:19:25,280 --> 01:19:26,120
Speaker 3: Yeah, it was funny.

1599
01:19:26,120 --> 01:19:29,800
Speaker 2: But yeah, I'm a crazy Christmas person and art first

1600
01:19:29,880 --> 01:19:30,560
Speaker 2: is Christmas.

1601
01:19:30,920 --> 01:19:34,240
Speaker 1: Yeah, I think we're more like we're more Christmas people,

1602
01:19:34,280 --> 01:19:38,120
Speaker 1: but I do I don't know. Like our town is insane,

1603
01:19:38,280 --> 01:19:41,679
Speaker 1: My town that I live in for Halloween, like absolutely insane.

1604
01:19:41,680 --> 01:19:43,920
Speaker 1: The whole entire town gets so into it, so it's

1605
01:19:43,960 --> 01:19:45,880
Speaker 1: like you almost don't even have a choice, like you

1606
01:19:46,000 --> 01:19:48,720
Speaker 1: have to unless you want to. You have to like

1607
01:19:48,960 --> 01:19:51,160
Speaker 1: really go on vacation and leave the town. If you

1608
01:19:51,200 --> 01:19:54,400
Speaker 1: don't want to participate in it. Well, that's that's that insane.

1609
01:19:54,600 --> 01:19:57,840
Speaker 2: You guys have this like awesome community of trigger traders.

1610
01:19:57,920 --> 01:20:01,280
Speaker 2: Literally two kids came to my house last year. It's

1611
01:20:01,280 --> 01:20:03,400
Speaker 2: not even fun to sit outside and hand it out

1612
01:20:03,439 --> 01:20:04,519
Speaker 2: because there's no children.

1613
01:20:05,120 --> 01:20:07,920
Speaker 1: Yeah. Well, and because every single person in New Jersey

1614
01:20:08,000 --> 01:20:10,679
Speaker 1: comes to my town. I think that's where we've gotten

1615
01:20:10,720 --> 01:20:13,280
Speaker 1: with this. I how many candy we had, Like five

1616
01:20:13,320 --> 01:20:16,160
Speaker 1: thousand pieces of candy we gave out in like an.

1617
01:20:16,000 --> 01:20:18,320
Speaker 3: Hour or something. But we were mind hearing it too.

1618
01:20:18,400 --> 01:20:20,920
Speaker 2: It's not like they're yeah, going out willy nilly, But

1619
01:20:21,880 --> 01:20:23,240
Speaker 2: I don't know that.

1620
01:20:23,360 --> 01:20:26,080
Speaker 1: Yeah, I've been to like it's all right, it's September

1621
01:20:26,120 --> 01:20:28,760
Speaker 1: and I'm our town's already started decorating, by the way,

1622
01:20:28,800 --> 01:20:30,719
Speaker 1: which is piss and gave off. When we drive around,

1623
01:20:30,760 --> 01:20:33,679
Speaker 1: He's just like, oh, He's like, it's September third or whatever,

1624
01:20:33,720 --> 01:20:38,240
Speaker 1: and I'm like, no, dude, it no, it happens.

1625
01:20:38,720 --> 01:20:41,679
Speaker 2: I do. We do it early with Christmas too, though

1626
01:20:42,280 --> 01:20:45,320
Speaker 2: I'm really early with Christmas. I actually scaled back because

1627
01:20:45,320 --> 01:20:47,880
Speaker 2: I used to, like November first, start putting stuff out,

1628
01:20:48,520 --> 01:20:52,080
Speaker 2: but then I don't know, I'm still pretty early with it.

1629
01:20:52,120 --> 01:20:54,880
Speaker 2: I tend to decorate the weekend before Thanksgiving because I

1630
01:20:54,920 --> 01:20:57,800
Speaker 2: host Thanksgivings, but I want everybody to see my decorations,

1631
01:20:58,080 --> 01:20:59,639
Speaker 2: and then that's still a little early too.

1632
01:21:01,520 --> 01:21:03,920
Speaker 1: I don't care. I don't care about that. I'll just

1633
01:21:04,280 --> 01:21:06,000
Speaker 1: I don't know what I'm gonna do for Halloween because

1634
01:21:06,040 --> 01:21:09,360
Speaker 1: last year we did a lot and now I'm just like,

1635
01:21:09,520 --> 01:21:11,679
Speaker 1: I don't I have to really get rid of off,

1636
01:21:11,680 --> 01:21:13,439
Speaker 1: Like we just don't have anywhere to put this off.

1637
01:21:13,479 --> 01:21:14,880
Speaker 3: So yeah, all.

1638
01:21:14,880 --> 01:21:17,519
Speaker 2: Right, Well, thank you guys so much. Don't forget to

1639
01:21:17,520 --> 01:21:21,160
Speaker 2: submit your shocking story to stories at Mothernosdeath dot com.

1640
01:21:21,439 --> 01:21:24,160
Speaker 2: We also still have the Giant Microbes contest going on

1641
01:21:24,240 --> 01:21:27,040
Speaker 2: for another week, so in order to win one of

1642
01:21:27,040 --> 01:21:29,160
Speaker 2: the giant microbes, you have to go to Apple, leave

1643
01:21:29,240 --> 01:21:32,600
Speaker 2: us a written review, screenshot it, and also email that

1644
01:21:32,760 --> 01:21:35,880
Speaker 2: to stories at Mothernosdeath dot com. That contest will be

1645
01:21:35,920 --> 01:21:38,799
Speaker 2: going on until September thirteenth, and then we will announce

1646
01:21:38,840 --> 01:21:40,080
Speaker 2: winners the following week.

1647
01:21:44,000 --> 01:21:47,880
Speaker 1: Thank you for listening to Mother Nos Death. As a reminder,

1648
01:21:48,040 --> 01:21:51,840
Speaker 1: my training is as a pathologists assistant. I have a

1649
01:21:51,880 --> 01:21:56,240
Speaker 1: master's level education and specialize in anatomy and pathology education.

1650
01:21:57,360 --> 01:21:59,480
Speaker 1: I am not a doctor and I have not diagnosed

1651
01:21:59,560 --> 01:22:03,240
Speaker 1: or treated anyone dead or alive without the assistance of

1652
01:22:03,280 --> 01:22:08,519
Speaker 1: a licensed medical doctor. This show, my website, and social

1653
01:22:08,560 --> 01:22:12,080
Speaker 1: media accounts are designed to educate and inform people based

1654
01:22:12,080 --> 01:22:16,000
Speaker 1: on my experience working in pathology, so they can make

1655
01:22:16,200 --> 01:22:20,920
Speaker 1: healthier decisions regarding their life and well being. Always remember

1656
01:22:20,920 --> 01:22:24,040
Speaker 1: that science is changing every day and the opinions expressed

1657
01:22:24,040 --> 01:22:26,719
Speaker 1: in this episode are based on my knowledge of those

1658
01:22:26,760 --> 01:22:30,519
Speaker 1: subjects at the time of publication. If you are having

1659
01:22:30,560 --> 01:22:34,519
Speaker 1: a medical problem, have a medical question, or having a

1660
01:22:34,560 --> 01:22:38,920
Speaker 1: medical emergency, please contact your physician or visit an urgent

1661
01:22:38,960 --> 01:22:43,920
Speaker 1: care center, emergency room, or hospital. Please rate, review, and

1662
01:22:44,040 --> 01:22:48,559
Speaker 1: subscribe to Mother Knows Death on Apple, Spotify, YouTube, or

1663
01:22:48,600 --> 01:22:50,040
Speaker 1: anywhere you get podcasts.

1664
01:22:50,560 --> 01:22:50,960
Speaker 3: Thanks