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

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Speaker 1: Everyone welcome The Mother Knows Death. On today's episode, we're

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Speaker 1: going to talk about the weird series of events that

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Speaker 1: happened after our ex NFL star Mark Sanchez was stabbed.

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Speaker 1: Diddy was finally sentenced, so we'll get into that, a

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Speaker 1: little bit, a freak accident involving a skydiving instructor and

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Speaker 1: his student, an interesting study done to see if a

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Speaker 1: fetus reacts to cigarette smoking, a popular drug that was

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Speaker 1: used for morning sickness that is now linked to colorectal cancer,

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Speaker 1: and the benefits of marrying your first cousin IW We'll

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Speaker 1: finish up this episode with your questions.

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Speaker 2: All that and more.

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Speaker 1: On today's episode, let's get started with this Mark Sanchez story.

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Speaker 2: It's so weird. It is weird, and the way that

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Speaker 2: media was presenting it at first was he was just

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Speaker 2: innocently walking down the street and got stabbed, and that

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Speaker 2: is not at all what happened. So I guess let's

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Speaker 2: start from the beginning. Over the weekend. I guess on Friday,

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Speaker 2: he was seen around downtown Indianapolis. So he is a

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Speaker 2: former NFL quarterback but now he's a sports analyst. So

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Speaker 2: by the reports I've been seeing, he was in town

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Speaker 2: to cover the Raiders Colts game, so that's why he

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Speaker 2: was there. So people in the bar he was saying

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Speaker 2: that he was acting erratically and that he ended up

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Speaker 2: in this alley behind the bar doing sprints. So then

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Speaker 2: while he's doing sprints behind the bar, this man driving

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Speaker 2: a grease truck pulled into the alley to do this

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Speaker 2: pickup at a hotel, and it basically ignited this weird

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Speaker 2: altercation where Mark Sanchez went up to the driver and

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Speaker 2: was trying to get him to move the car. But

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Speaker 2: I guess the guy had hearing aids and he didn't

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Speaker 2: wear them when he was driving because the noise was

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Speaker 2: too loud in the try, so he didn't hear him

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Speaker 2: at first, and then it escalated into Mark basically beating

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Speaker 2: the shit out of this guy until the guy finally

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Speaker 2: had to stab him to get him off of him,

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Speaker 2: and he pepper sprayed him too, because he was like,

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Speaker 2: I think he's trying to kill me. Wow, it's a lot,

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Speaker 2: a lot.

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Speaker 1: So it's so he was staying at that hotel and

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Speaker 1: like he's up and just drunk and somehow ends up

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Speaker 1: doing sprints in the alley, Like what, that's what most

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Speaker 1: people want to do with their drunk, Like, let me

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Speaker 1: go do a workout right now.

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Speaker 2: And I guess this guy was in the way of

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Speaker 2: his sprints. Is that that's happened, or that's what it

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Speaker 2: sounds like to me, is that he was. You know,

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Speaker 2: many witnesses had said that his breath smelled like alcohol,

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Speaker 2: really bad, and he was luring his words. So I'm

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Speaker 2: going to go on the assumption he was out of

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Speaker 2: his mind drunk at the bar.

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Speaker 1: Was he with anyone, because it's just if you're at

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Speaker 1: a hotel by yourself and you go down and you

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Speaker 1: have a drink or two or ten, it's just weird

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Speaker 1: that other people would notice you acting erratically if you

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Speaker 1: weren't really having conversations with people there.

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Speaker 2: Assuming that he was not necessarily because I mean.

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Speaker 1: Well, yeah, I mean, if you're if you're complete. But

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Speaker 1: I'm just trying to figure out like how drunk he

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Speaker 1: really was or if there was. I also have a

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Speaker 1: theory that there could be other substances involved too that

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Speaker 1: would cause that kind of rage like that, or.

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Speaker 2: Could it be a combination of potential CTE mixed with

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Speaker 2: excessive alcohol use. I mean, it could be anything. I

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Speaker 2: always copeing that. Also, it's important to note that he's

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Speaker 2: thirty eight years old and the driver was sixty nine

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Speaker 2: years old. Like, how is this seventy year old man

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Speaker 2: supposed to go up against a professionally trained quarterback in

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Speaker 2: a fight? Seriously?

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Speaker 1: Yeah, and listen, like, there's there's photos of this sixty

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Speaker 1: nine year old man circulating online and on social media

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Speaker 1: and in the news reports as well, and he did.

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Speaker 1: He does look like he got an ass whoop in

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Speaker 1: In fact, he has a large wound across his face

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Speaker 1: that is almost from his ear to his across his

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Speaker 1: cheek to hit the corner of his lip.

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Speaker 2: It's huge.

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Speaker 1: It's I would say that it's probably a good ten

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Speaker 1: centimeters or four inches long wound. And I was trying

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Speaker 1: to zoom in on it to see if I could

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Speaker 1: tell if it was from blunt trauma or sharp trauma.

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Speaker 1: And I personally think that even if that guy super

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Speaker 1: strong and stuff and punched him in the face like that,

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Speaker 1: that his cheek wouldn't split open that big because it

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Speaker 1: looks just really deep. So I think that there's a

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Speaker 1: possibility that while he was trying to stab Mark. He

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Speaker 1: just got cut with the knife by accident during that time.

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Speaker 1: It looks like it's pretty a little jagged and rough,

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Speaker 1: but that could just be due to having a knife

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Speaker 1: that's not that u or just having an irregular stab wound,

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Speaker 1: or because it almost looks like a slice it's that deep.

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Speaker 2: Well, the news is using your favorite word elaceration to

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Speaker 2: but then also using the word to cut. Yeah.

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Speaker 1: I mean, if I had to make a guess, I

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Speaker 1: would say it was made by something sharp, unless he

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Speaker 1: was hit with something else that could have split. I

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Speaker 1: just don't think that it would split like that no

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Speaker 1: matter what he was hit with. So I'm going with

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Speaker 1: the knife made the cut somehow. But it's a big

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Speaker 1: gash across his face that may require surgery. I don't

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Speaker 1: know if he has any underlying broken bones or anything

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Speaker 1: like that, but definitely multiple sutures to fix it increase

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Speaker 1: wrestlume infection, especially because he's older. And that doesn't even

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Speaker 1: I mean, he's got blood all over his body. He

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Speaker 1: just looks like he got beat up. And I guess

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Speaker 1: that's the most unusual part of this story because I

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Speaker 1: feel like it came out pretty fast. What happened that

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Speaker 1: police went into the hospel and arrested him while he

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Speaker 1: was fighting for his life.

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Speaker 2: Yeah, I mean this happened just after midnight Saturday morning.

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Speaker 2: And then by Saturday Mark Sanchez is getting surgery for

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Speaker 2: the stab wounds. This other guy's in the hospital too,

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Speaker 2: and then I believe he got charged either that night

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Speaker 2: or the next morning. And they have all these security

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Speaker 2: cameras back there. Did you see that video of him

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Speaker 2: walking around after Oh?

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Speaker 1: Yeah, I mean that's that's how they're able to prove

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Speaker 1: I mean this I was thinking about that. You pull

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Speaker 1: up behind a hotel. This guy's telling this story. I

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Speaker 1: bet you the whole entire thing is on film, oh

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Speaker 1: all of it. And the thing that really pissed me

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Speaker 1: off about this story is that on I don't know

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Speaker 1: about the schedule, but they played football on Fridays correctly,

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Speaker 1: or on Sundays. So that was They're like, that would

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Speaker 1: have been his job. He would have been at the

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Speaker 1: game on Sunday announcing the game. Yes, okay, So his

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Speaker 1: co worker people whoever they are, I don't know who

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Speaker 1: he announces with, were like, we just want to put

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Speaker 1: out we just want to say that we're looking out

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Speaker 1: for Mark Sanchez and we hope he has a quick

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Speaker 1: recovery in the hospital and all people involved.

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Speaker 2: And I'm like, what the fuck fuck that dude? Right, Well,

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Speaker 2: maybe the only benefit of the doubt I want to

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Speaker 2: give them is they didn't know what happened. And it's

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Speaker 2: because when I was seeing.

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Speaker 1: Their reports, if I knew what happened, then they should

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Speaker 1: have known what happened. If they, I mean, come on,

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Speaker 1: like the people that were but when at work don't

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Speaker 1: get news even faster.

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Speaker 2: But when did they put that out today? Because most

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Speaker 2: got out yesterday. Now I knew about it yesterday too.

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Speaker 2: I knew about it first thing yesterday morning. Yeah, but

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Speaker 2: if you're saying they put it out on Sunday, they

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Speaker 2: might not have known by the time the broadcast happened

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Speaker 2: on Sunday. Possibly, And the way I feel like I'm

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Speaker 2: trying it was that he just got randomly attacked. Yeah no,

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Speaker 2: and that is not at all what happened.

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Speaker 1: I feel like they knew because why would they say

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Speaker 1: and all people involved.

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Speaker 2: It's it's bizarre.

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Speaker 1: I mean it's because listen, like, if you were randomly

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Speaker 1: walking up the street and got stabbed, who else would

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Speaker 1: be involved? That I care about the person that stabbed you. No,

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Speaker 1: like it's they knew it just was like, I just

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Speaker 1: think it wasn't. I feel like, honestly, they should have

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Speaker 1: just not said anything.

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Speaker 2: They shouldn't have, but at the same time, they were

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Speaker 2: going to and it does seem irresponsible at this point

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Speaker 2: in time, with the information we know that he just

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Speaker 2: like seemingly assaulted an innocent man trying to work and

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Speaker 2: he was drunk out of his mind or whatever was

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Speaker 2: going on and just couldn't handle himself. And did he

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Speaker 2: have a history of acting out like this or was

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Speaker 2: this a one off situation. I don't know.

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Speaker 1: I just think it's weird that people have They just

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Speaker 1: he's had so many amazing opportunities. He was on a

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Speaker 1: professional football team, which so many people would kill for, right, Like,

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Speaker 1: it's just such a great opportunity, and then he gets

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Speaker 1: this job after he was done, and you're just like,

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Speaker 1: how are you that dumb that you're just screwing.

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Speaker 2: All that up? Like he's gonna lose his job.

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Speaker 1: I hope, you know what, I don't even know what's

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Speaker 1: happening in twenty twenty five, because there's a possibility that

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Speaker 1: someone that was drunk and tried to kill somebody will

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Speaker 1: have a TV show still and everybody will be okay

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Speaker 1: with it.

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Speaker 2: But in theory he should lose his job. I would

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Speaker 2: say he's likely going to get fired because I've never

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Speaker 2: heard that he's this like incredible sports announcer that's irreplaceable.

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Speaker 1: And he wasn't like he wasn't like a super great

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Speaker 1: player either, right, I mean, I'm sure they're all great

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Speaker 1: to a certain extent if they're professional football players, but

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Speaker 1: he wasn't.

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Speaker 2: Like, listen, I'm not even gonna try to name a

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Speaker 2: football player right now.

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Speaker 1: The one that was cute that got all the botox recently,

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Speaker 1: what's his name, Tom Brady?

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Speaker 2: Like he is not cute. He was he was before

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Speaker 2: he got the weird handsome squid word.

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Speaker 1: I don't want to listen. I I'm like anti men

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Speaker 1: getting their faces done. I just don't like the way

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Speaker 1: it looks at all. But he was cute before he

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Speaker 1: had that done, and now he you know, Like it's

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Speaker 1: the same with John Stamos, Like I'd rather look at

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Speaker 1: old John Stamos instead of like weird plastic surgery John Stamos,

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Speaker 1: because my eye catches it so quickly and it's just

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Speaker 1: kind of a turn off to me totally.

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Speaker 2: I mean, all I know about this guy and I

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Speaker 2: could be totally wrong because I don't know anything about sports. Really,

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Speaker 2: It's just like he was this big deal because he

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Speaker 2: was coming to the Jets and was gonna save them,

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Speaker 2: and all I know is the Jets still sucks. So like,

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Speaker 2: I don't know if he did anything, I don't know

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Speaker 2: what his deal is. This is one hundred percent unacceptable.

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Speaker 2: Of course, I'm looking at the charges right, and it's

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Speaker 2: He's initially charged with battery with injury, public intoxication, and

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Speaker 2: unlawful entry of a vehicle. Bond was three hundred dollars.

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Speaker 2: That is ridiculous, and those were misdemeanors at first, but

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Speaker 2: now the charges have been up to level five fel

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Speaker 2: any battery of causing serious injury and the guy is

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Speaker 2: suing him. Good.

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Speaker 1: Yeah, the guy didn't obviously the guy didn't even know

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Speaker 1: who he was. But like, honestly, if something like this

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Speaker 1: is gonna happen to you, at least have it be

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Speaker 1: a multi millionaire that could like make it go away

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Speaker 1: a little bit faster.

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Speaker 2: I mean, he should be less focused on going back

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Speaker 2: to work and maybe go to rehab because he clearly

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Speaker 2: has a problem. And that's also why I brought up

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Speaker 2: the brain injury thing, because people don't just act like

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Speaker 2: this and not all black I'm drunk people act like that, no,

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Speaker 2: And that's that's why I was asking you about that,

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Speaker 2: because I'm like, if an average person gets too drunk,

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Speaker 2: they don't get every it doesn't automatically cause violence. But

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Speaker 2: then when it's mixed with other substances or like you said,

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Speaker 2: a traumatic brain injury, which is likely, I mean, like

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Speaker 2: it's just the more and more that's coming out. Unless

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Speaker 2: you could somehow skate through your career and not hit

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Speaker 2: your head as a football player, I don't know. I mean,

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Speaker 2: it's totally a possibility. And then and then you start

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Speaker 2: to have another conversation like, Okay, he's not like maybe

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Speaker 2: he's not a drunk scumbag, Maybe he's legitimately like yeah,

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Speaker 2: basis he's yeah, like, he's having a legitimate brain pathology

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Speaker 2: that needs to be addressed. So we'll report if we

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Speaker 2: hear anything else. Of course, we're not going to know

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Speaker 2: if he has CTE until he dies to do his

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Speaker 2: autopsy and look at the brain, So we'll just have

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Speaker 2: to assume that he's a douche for now, Well, I

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Speaker 2: am just wondering if he has a history of behavior

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Speaker 2: like this, and if it was shocking and I'm just

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Speaker 2: able to keep it under it.

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Speaker 1: People people don't just like pull an old man out

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Speaker 1: of a truck and start punching them, Okay, So well, exactly,

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Speaker 1: there's more to the story, for sure. I worked at

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Speaker 1: a bar for about ten years, and I've seen plenty

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Speaker 1: of very drunk people in my time, and very seldom

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Speaker 1: did it go to violent behavior like that. So I

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Speaker 1: just think something else was definitely contributing, all right, did

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Speaker 1: He was in court on Friday for sentencing after he

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Speaker 1: was found guilty of two counts of transportation to engage

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Speaker 1: in prostitution. The prosecution recommended that he'd be sentenced to

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Speaker 1: eleven years for the charges, but the judge only sentenced

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Speaker 1: him to four years and two months, and the time

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Speaker 1: he has served so far will count towards that sentence.

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Speaker 2: What'd you think about the sentence. I don't know, Like

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Speaker 2: I was surprised they gave him any time at all,

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Speaker 2: But at the same time, it's not enough and he

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Speaker 2: didn't get the bigger charges. I just I don't really

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Speaker 2: know what I feel about it. Honestly, I'm not surprised.

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Speaker 1: It's it's really hard to say because I think that

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Speaker 1: what they charged him with is not like we're looking

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Speaker 1: at especially I guess for me anyway, when I think

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Speaker 1: about Diddy, one of the biggest things I think about

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Speaker 1: is him beating up Cassie in that video, right, and

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Speaker 1: that video really has nothing to do with any of

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Speaker 1: the charges that he was found guilty of.

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Speaker 2: I think the problem here, especially after talking to Lauren

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Speaker 2: and looking at the case outside of the headlines a

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Speaker 2: little bit, I just don't think they had a very

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Speaker 2: strong like, the state did not have a very strong

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Speaker 2: case against him, and it got botched. Yeah, I agree

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Speaker 2: with that. I agree with that.

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Speaker 1: I think that it was like, I think most people

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Speaker 1: will agree that he's a terrible person, but they weren't

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Speaker 1: able to charge him with things that really would have

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Speaker 1: gotten him in trouble for a long time. And the

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Speaker 1: things that they tried to he didn't get. He didn't

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Speaker 1: get in trouble with. But it was kind of a stretch.

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Speaker 1: It's like it was just kind of a stretch to

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Speaker 1: you know, you know that I'm writing my celebrity death book.

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Speaker 2: Right, now right, And I was writing, I think you've

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Speaker 2: announced that on the show.

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Speaker 1: Well, I am, guess guess what you Celebrity Death book

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Speaker 1: coming soon, not really soon, it's coming when twenty twenty seven,

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Speaker 1: but I'm working on it and it's gonna be awesome.

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Speaker 1: So I was writing about al Capone yesterday and how

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Speaker 1: like that guy if you think about him, like biggest

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Speaker 1: mobster of all time and just all of the murders

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Speaker 1: and the racketeering, this and that.

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Speaker 2: Like he got charged with tax eVision.

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Speaker 1: That's how they got him because they were just like,

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Speaker 1: we're just going to get him for whatever we could

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Speaker 1: get him for. And when you look at that, you're

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Speaker 1: just like, who cares about tax evasion? This guy was

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Speaker 1: like running a criminal crime family, right, just it's just

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Speaker 1: like there, it's kind of this modern day thing with Diddy,

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Speaker 1: like let's just see what we could get him for

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Speaker 1: kind of and to an extent, they were successful because,

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Speaker 1: as you were, I'm shocked he got any time because

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Speaker 1: of like countless examples. O. J. Simpson, this isn't right,

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Speaker 1: so to think, and I think he's shocked he got

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Speaker 1: any time.

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Speaker 2: Well, yeah, based on the courtroom sketches and then based

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Speaker 2: on what I mean, he went on this whole play.

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Speaker 2: I know I've hurt people, Never do it again. I

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Speaker 2: don't think abusers just stop when they get a slap

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Speaker 2: on the wrist. And I'm gonna consider this sentence a

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Speaker 2: slap on the wrist. You beat this shit out of

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Speaker 2: an innocent woman. But think about this, but that, yes

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Speaker 2: he did, but that this wasn't about him. That is

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Speaker 2: not what the charges were brought against him at all.

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Speaker 2: That was just like side evidence. So now the defense

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Speaker 2: team is going to appeal this sentence, and honestly, I

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Speaker 2: think that they might have a chance of getting out

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Speaker 2: of it. And let me tell you why.

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Speaker 1: Because a lot of the stuff that the judge was

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Speaker 1: saying about him as to why he's deciding to put

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Speaker 1: him in jail for this long is things that weren't

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Speaker 1: that he was found not guilty for, right, okay, So

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Speaker 1: so that really can't be used in the sentencing because

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Speaker 1: that's not what they found him guilty for. Like he

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Speaker 1: should have been sentencing based on the guilty please, and

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Speaker 1: that's it. So like they might be able to go

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Speaker 1: back and say, oh, he's bringing up the girl friend

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Speaker 1: and the this and the that, and it's like he

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Speaker 1: wasn't charged with any of that stuff if you want

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Speaker 1: to look at it on paper, and they have really

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Speaker 1: good lawyers, so that's totally possibility. But this dude, you

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Speaker 1: know that Diddy had things planned for like next week

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Speaker 1: events to show up to oh because he was that common,

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Speaker 1: because he was that confident that he had served his

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Speaker 1: time and was getting out.

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Speaker 2: I mean, so just to tell him, how many years

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Speaker 2: did he get? Total four? He got four years in

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Speaker 2: two months. But he's been in jail since last September.

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Speaker 2: So his defense team had recommended a fourteen month sentencing.

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Speaker 2: So basically, if he had been given the fourteen month sentence,

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Speaker 2: he would have been eligible to get out now because

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Speaker 2: that was the time served already, right, But I don't know.

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Speaker 2: I've been hearing other experts talk about they weren't surprised

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Speaker 2: by the time given, and they think he's gonna get

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Speaker 2: out probably by next year. If let's say the appeal

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Speaker 2: is unsuccessful and he does have to serve the four

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Speaker 2: he'll have good behavior everything like that. He's not going

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Speaker 2: the whole time. There's no way you want to hear

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Speaker 2: something so funny. He has been complaining about the conditions

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Speaker 2: that he's living in and how his food is cold

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Speaker 2: and he doesn't have a warm bed, and this and.

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Speaker 1: That and and they tried to use that to say, well,

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Speaker 1: he shouldn't have to serve maybe as much time because

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Speaker 1: he's been living under like extra strenuous circumstances.

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Speaker 2: Well so is every other prisoner. And if you're so

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Speaker 2: bothered by it, take your money for prison reform. I

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Speaker 2: don't know what you expect.

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Speaker 1: And this is the thing too, It's like, of course

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Speaker 1: this is terrible for him, because this is a guy

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Speaker 1: that probably before he shows up at a hotel like

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Speaker 1: requests a Mariah Carey treatment of like ten dozen white

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Speaker 1: roses in the room, and and you know, certain thread

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Speaker 1: count of sheets, and he's got the amount of money

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Speaker 1: that like, think about this, if you and I were

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Speaker 1: were like ditty money and we were traveling, I would

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Speaker 1: be like, I need my room to be set up

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Speaker 1: with an electric blanket everywhere I go, and just like

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Speaker 1: things that make me very comfortable, right, I want to

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Speaker 1: have all the stuff that makes me super comfortable. So

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Speaker 1: when you have that level of like getting all of

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Speaker 1: that stuff, would you would I, let's say, for when

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Speaker 1: I just went to crime con would I be eating

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Speaker 1: Rice Chrispy treats for dinner.

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Speaker 2: No, you know what I mean.

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Speaker 1: So, like he's used to having, you didn't have to

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Speaker 1: be eating, but they were. Listen, the gay Lord hotels

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Speaker 1: have the best Rice Krispy treats. Anyone that's been there

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Speaker 1: will say that. But but seriously, like he's just used to,

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Speaker 1: he could probably go to la and have his people

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Speaker 1: call his favorite restaurant and make sure that that food

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Speaker 1: is in the hotel room when he gets there, like

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Speaker 1: just another level of catering.

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Speaker 2: Oh fucking well, don't do weird shit, I know, but

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Speaker 2: I'm just saying, like that's. Of course, this is a

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Speaker 2: culture shock to him, because jail isn't supposed to be comfortable.

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Speaker 2: It's supposed to make you regret the bad decisions you made.

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Speaker 2: And if he really cares that much about it, he

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Speaker 2: should try to invest money into the prison system and

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Speaker 2: make it more comfortable for other prisoners.

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Speaker 1: Well, he has a lot of time to think about

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Speaker 1: this now, so he will get out. And like, listen,

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Speaker 1: I I'm defending him at all because I think that

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Speaker 1: he should be in jail just because I think he's

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Speaker 1: a terrible person. But he went through a jury and

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Speaker 1: they didn't.

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Speaker 2: They didn't.

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Speaker 1: They said he was not guilty of a lot of

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Speaker 1: the things that would have put him in jail longer.

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Speaker 2: But I think a large part of that is because

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Speaker 2: the case was weak against him, Like, yeah, I think

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Speaker 2: if they had a good case, he probably would have

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Speaker 2: been charged.

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Speaker 1: He's also didty, Like I just think it's I think

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Speaker 1: it's really hard to get a fair and impartial jury

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Speaker 1: when there's someone of that stature, you know.

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Speaker 2: Yeah, and I mean an important party Hot pop knows

404
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Speaker 2: who did he is? Like everybody knows who he is.

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Speaker 2: He's like a super super celebrity. An important part I

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Speaker 2: thought Lauren brought up too, was like there's no court

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Speaker 2: there's no cameras in this courtroom, so we're relying on

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Speaker 2: people's reporting being in the room, and a lot of

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Speaker 2: it was exaggerated. Yeah, and that the drawings are neat

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Speaker 2: The drawings are pretty good. But I was wondering if

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Speaker 2: that guy we met at crime Con last year did them,

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Speaker 2: But I think another person did. Okay, let's get on

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Speaker 2: with what's our next story. So over the weekend, the

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Speaker 2: skydiving instructor and a student were doing a tandem jump,

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Speaker 2: and I guess at some point they got separated and

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Speaker 2: the instructor wasn't wearing his own parachute, so he plummeted

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Speaker 2: to his death, and then the student ended up getting

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Speaker 2: trapped in a tree survived, but that was a miracle

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Speaker 2: in and of itself. Yeah. I don't really know.

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Speaker 1: Much about sky diving except I would never ever, ever

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Speaker 1: do it in a million years.

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Speaker 2: I really think that people.

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Speaker 1: Are really courageous that do it, because it probably feels

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Speaker 1: really cool when it's successful. But the fear of this

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Speaker 1: particular case, for example, So I guess what happened is

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Speaker 1: the guy was harnessed to the other guy when they

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Speaker 1: jumped out, and the part of the harness got caught

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Speaker 1: on the edge of the plane and like ripped off him,

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Speaker 1: and he essentially plummeted eleven thousand feet to the ground.

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Speaker 2: He would he even be intact when they found.

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Speaker 1: No, absolutely, not like he would be. I just I

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Speaker 1: don't even want to think about it. I have a

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Speaker 1: post in the gross room about a person that fell

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Speaker 1: out of the landing gear of a plane that was

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Speaker 1: a stowaway and fell from that high up, and it

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Speaker 1: just it just looks terrible. It's definitely not intact, even

437
00:22:57,640 --> 00:23:01,919
Speaker 1: a little bit and the but which that's disturbing. I

438
00:23:01,920 --> 00:23:04,080
Speaker 1: think the really crazy part of this story is that

439
00:23:04,119 --> 00:23:05,240
Speaker 1: the other dude survived.

440
00:23:05,920 --> 00:23:08,200
Speaker 2: Yeah, and he was suspended in a tree for hours

441
00:23:08,240 --> 00:23:10,120
Speaker 2: before they were able to get him out, which must

442
00:23:10,119 --> 00:23:12,560
Speaker 2: have been harrif. I mean, I'm thinking of this guy

443
00:23:12,640 --> 00:23:14,680
Speaker 2: falling to his death. You would hope at some point

444
00:23:14,760 --> 00:23:17,600
Speaker 2: mid air they just pass out or something, because otherwise,

445
00:23:18,200 --> 00:23:20,040
Speaker 2: don't you feel it? That could take up to a

446
00:23:20,040 --> 00:23:23,480
Speaker 2: couple minutes for you to fully fall that far down,

447
00:23:24,200 --> 00:23:25,840
Speaker 2: so you're aware you're about to die.

448
00:23:25,880 --> 00:23:27,760
Speaker 1: That law, I don't. I don't even want to think

449
00:23:27,760 --> 00:23:31,040
Speaker 1: about it. It's just it makes me feel gross to

450
00:23:31,119 --> 00:23:32,000
Speaker 1: even think about it.

451
00:23:32,119 --> 00:23:32,600
Speaker 2: Just the height.

452
00:23:32,840 --> 00:23:36,320
Speaker 1: The height thing is so scary. And yeah, I mean,

453
00:23:37,359 --> 00:23:39,520
Speaker 1: I mean one sense, you could be like the guy

454
00:23:39,640 --> 00:23:42,879
Speaker 1: died loving, like doing what he loved to do. That

455
00:23:43,000 --> 00:23:45,040
Speaker 1: was another story that we caught this week because we

456
00:23:45,119 --> 00:23:48,959
Speaker 1: just didn't have enough time about a person that was

457
00:23:49,200 --> 00:23:53,000
Speaker 1: rock climbing. You remember that that documentary Free Solo with

458
00:23:53,080 --> 00:23:57,720
Speaker 1: that crazy dude who was like climbing these mountains without.

459
00:23:58,000 --> 00:23:59,639
Speaker 2: Oh, that was the guy that died.

460
00:24:00,160 --> 00:24:03,439
Speaker 1: No, it was just a guy doing doing that particular

461
00:24:03,720 --> 00:24:09,840
Speaker 1: mountain that he climbed in that documentary. So it's just

462
00:24:09,920 --> 00:24:11,920
Speaker 1: like there's something to be said. I guess, if you're

463
00:24:11,960 --> 00:24:14,680
Speaker 1: going to die anyway, die doing something that you love

464
00:24:15,160 --> 00:24:19,639
Speaker 1: to do. But in this particular case, it's you know,

465
00:24:19,920 --> 00:24:22,280
Speaker 1: so so this guy. So there's a picture, And I

466
00:24:22,320 --> 00:24:25,600
Speaker 1: asked Gabe this morning because the picture in the article

467
00:24:25,920 --> 00:24:29,360
Speaker 1: is a guy in a parachute at the top of

468
00:24:29,720 --> 00:24:33,160
Speaker 1: what appears to be pretty high trees and then fireman

469
00:24:33,280 --> 00:24:35,719
Speaker 1: with a ladder up trying to get him down. So

470
00:24:35,800 --> 00:24:38,560
Speaker 1: number one, that guy was in the tree hanging there

471
00:24:38,640 --> 00:24:41,560
Speaker 1: for god knows how long, but they said it was hours, right,

472
00:24:43,080 --> 00:24:45,640
Speaker 1: And I asked Gabe and he said that it could

473
00:24:45,640 --> 00:24:48,199
Speaker 1: be just based upon the ladders because it's not a

474
00:24:48,240 --> 00:24:52,080
Speaker 1: fire truck like an aerial device ladder. It's just the

475
00:24:52,080 --> 00:24:55,880
Speaker 1: ones that they would have on their trucks to put up.

476
00:24:56,480 --> 00:24:59,000
Speaker 1: He said that it's anywhere from like forty five to

477
00:24:59,080 --> 00:25:00,480
Speaker 1: sixty feet up the air.

478
00:25:00,760 --> 00:25:01,280
Speaker 2: Geez.

479
00:25:01,680 --> 00:25:07,120
Speaker 1: So just imagine hanging there upside down and no one

480
00:25:07,200 --> 00:25:09,840
Speaker 1: coming Like that would be my fear, Like what if

481
00:25:09,880 --> 00:25:12,440
Speaker 1: no one finds me and I'm just here until I die?

482
00:25:13,000 --> 00:25:16,120
Speaker 2: Oh totally, I mean I don't know this the whole

483
00:25:16,200 --> 00:25:19,440
Speaker 2: concept of skydiving freaks me out so bad, especially when

484
00:25:19,480 --> 00:25:21,840
Speaker 2: you hear these horrific stories of how it went wrong.

485
00:25:22,840 --> 00:25:24,760
Speaker 2: That's how I feel about hot air balloons too, Like

486
00:25:24,800 --> 00:25:27,320
Speaker 2: I would. I really think they're the coolest things ever

487
00:25:27,359 --> 00:25:29,199
Speaker 2: and I want to be in one, but like I

488
00:25:29,280 --> 00:25:32,199
Speaker 2: just could never do it. No, I mean especially I

489
00:25:32,240 --> 00:25:35,320
Speaker 2: feel like there's been a lot more accidents than normal.

490
00:25:35,560 --> 00:25:38,720
Speaker 2: So maybe like, if I live to be ninety nine,

491
00:25:38,760 --> 00:25:42,480
Speaker 2: you could just send me up there by myself, because like,

492
00:25:42,520 --> 00:25:46,159
Speaker 2: if I fall, what's the difference. That's a good attitude

493
00:25:46,160 --> 00:25:54,200
Speaker 2: to have. I guess.

494
00:25:55,720 --> 00:25:58,680
Speaker 1: This episode is brought to you by the Grosser Room guys.

495
00:25:58,760 --> 00:26:01,880
Speaker 1: So this week in the gross for our high profile dissection,

496
00:26:02,359 --> 00:26:05,240
Speaker 1: we did something a little bit different and fun this week.

497
00:26:05,280 --> 00:26:09,760
Speaker 1: So in October we tend to talk a little bit more.

498
00:26:09,840 --> 00:26:12,800
Speaker 1: We celebrate Halloween, I guess you would say with these

499
00:26:12,880 --> 00:26:15,800
Speaker 1: death disseections. Last year we did a couple fun ones

500
00:26:15,840 --> 00:26:20,640
Speaker 1: on Sleepy Hollow and seven Right. Yes, So the two

501
00:26:20,680 --> 00:26:22,720
Speaker 1: that we did that was really fun, just going through

502
00:26:22,720 --> 00:26:25,679
Speaker 1: the movies and saying what was plausible and what was not.

503
00:26:26,480 --> 00:26:30,640
Speaker 1: And so we started off this October with one on Halloween.

504
00:26:30,720 --> 00:26:33,080
Speaker 1: So we talked a little bit about the history of Halloween,

505
00:26:33,400 --> 00:26:37,359
Speaker 1: but more importantly how it has evolved from what it

506
00:26:37,560 --> 00:26:40,360
Speaker 1: was to what it is now, which is, in my opinion,

507
00:26:40,400 --> 00:26:46,480
Speaker 1: a celebration of crimes. Right, Yeah, it's specifically murder, but

508
00:26:46,600 --> 00:26:51,199
Speaker 1: also we go into all the different ways of it

509
00:26:51,720 --> 00:26:54,920
Speaker 1: celebrates sexual assault with some of these costumes that we've seen,

510
00:26:55,040 --> 00:26:59,119
Speaker 1: so it's really interesting, and the decorations too, of course,

511
00:26:59,200 --> 00:27:02,040
Speaker 1: So check that out all that and more in the

512
00:27:02,119 --> 00:27:04,360
Speaker 1: Gross Room for only five ninety nine a month.

513
00:27:04,800 --> 00:27:06,760
Speaker 2: Head over to the gross room dot com now to

514
00:27:06,840 --> 00:27:10,880
Speaker 2: sign up. All right, A new study has come out

515
00:27:10,920 --> 00:27:14,640
Speaker 2: showing how fetuses react differently with smoking mothers versus those

516
00:27:14,680 --> 00:27:15,639
Speaker 2: who don't smoke.

517
00:27:17,000 --> 00:27:22,080
Speaker 1: So this study was published in Acta pediatrica and found

518
00:27:22,119 --> 00:27:26,159
Speaker 1: that a fetus of a smoking mother touched their face

519
00:27:26,200 --> 00:27:29,640
Speaker 1: and mouth more often than a fetus of a non

520
00:27:29,720 --> 00:27:35,120
Speaker 1: smoking mom. So that's really interesting actually, and it's it's

521
00:27:35,160 --> 00:27:37,640
Speaker 1: such a small study, so they're gonna have to do

522
00:27:38,400 --> 00:27:42,240
Speaker 1: a larger study. But I guess research so far has

523
00:27:42,280 --> 00:27:46,640
Speaker 1: shown that if a fetus is in utero and they

524
00:27:46,720 --> 00:27:50,760
Speaker 1: touch there, they have more movements. It means that they're

525
00:27:50,800 --> 00:27:53,800
Speaker 1: in a more stress The mother is usually more stressful

526
00:27:53,840 --> 00:27:56,920
Speaker 1: so it's a more stressful environment and that has been

527
00:27:57,000 --> 00:28:00,880
Speaker 1: known to cause issues down the line that you might

528
00:28:00,920 --> 00:28:03,720
Speaker 1: not see right away. So I guess that's why this

529
00:28:03,960 --> 00:28:08,320
Speaker 1: research is really important. So what happened is in this

530
00:28:08,400 --> 00:28:13,080
Speaker 1: particular study, like I said, it was small, and they

531
00:28:13,119 --> 00:28:16,760
Speaker 1: looked at the fetuses of both moms who smoked during

532
00:28:16,760 --> 00:28:19,840
Speaker 1: pregnancy and moms who didn't smoke, and they monitored it

533
00:28:19,880 --> 00:28:23,720
Speaker 1: with four D ultrasound, which is super high depth, so

534
00:28:23,760 --> 00:28:26,480
Speaker 1: they're able to see what was going on as well.

535
00:28:26,520 --> 00:28:29,159
Speaker 1: And they did four different scans between twenty four and

536
00:28:29,240 --> 00:28:32,560
Speaker 1: thirty six weeks pregnant, and they found that there was

537
00:28:32,560 --> 00:28:35,520
Speaker 1: a fifty eight percent increase in mouth movement of these

538
00:28:35,560 --> 00:28:38,920
Speaker 1: babies and a sixty nine percent increase in self touch

539
00:28:38,960 --> 00:28:42,920
Speaker 1: where they were touching their face or their head. And

540
00:28:44,320 --> 00:28:47,200
Speaker 1: so these babies were all born and they were all healthy,

541
00:28:47,360 --> 00:28:51,040
Speaker 1: normal weights and everything like that. But this researcher would

542
00:28:51,080 --> 00:28:55,720
Speaker 1: like to follow them further on because their research suggests

543
00:28:55,800 --> 00:29:00,520
Speaker 1: that if a fetus, as the fetus gets older and

544
00:29:00,560 --> 00:29:05,000
Speaker 1: their brains developing more, they should be moving less but

545
00:29:05,160 --> 00:29:09,880
Speaker 1: have more complex movements just with their brain becoming mature.

546
00:29:10,360 --> 00:29:14,320
Speaker 1: And in this case, they're saying that these babies that

547
00:29:14,360 --> 00:29:17,880
Speaker 1: are born to a mom that is a smoker, it

548
00:29:17,960 --> 00:29:22,520
Speaker 1: might possibly be affecting their neuro development basically, So maybe

549
00:29:22,560 --> 00:29:25,920
Speaker 1: down the line they might show to have cognitive issues

550
00:29:26,040 --> 00:29:28,840
Speaker 1: or just not meeting milestones the same as other children

551
00:29:28,920 --> 00:29:33,120
Speaker 1: that are born to non smoking mothers. So we already

552
00:29:33,120 --> 00:29:37,120
Speaker 1: know that smoking during pregnancy is terrible anyway, but this

553
00:29:37,240 --> 00:29:39,240
Speaker 1: might just be another thing to kind of add to

554
00:29:39,240 --> 00:29:41,920
Speaker 1: the list. Yeah, I was gonna ask that because I

555
00:29:41,960 --> 00:29:44,440
Speaker 1: saw this article said all infants in the study were

556
00:29:44,440 --> 00:29:47,280
Speaker 1: born at a healthy weight and size with no obvious

557
00:29:47,280 --> 00:29:50,160
Speaker 1: health issues at that time. So this is something that

558
00:29:50,200 --> 00:29:52,320
Speaker 1: would present later on, is what you're saying.

559
00:29:52,320 --> 00:29:53,840
Speaker 2: It's smoking is just a.

560
00:29:53,800 --> 00:29:57,320
Speaker 1: Weird thing because like right now, it's honestly, like now,

561
00:29:57,360 --> 00:30:00,400
Speaker 1: in twenty twenty five, it's so bizarre to think of

562
00:30:00,440 --> 00:30:02,920
Speaker 1: a person smoking during pregnancy because it's just.

563
00:30:03,600 --> 00:30:06,600
Speaker 2: Well, I can't believe they got four people to willingly

564
00:30:06,720 --> 00:30:09,920
Speaker 2: join the study because I feel like people definitely do it,

565
00:30:09,960 --> 00:30:13,440
Speaker 2: but it's kind of a hidden thing. Yeah, people do it, but.

566
00:30:13,520 --> 00:30:18,200
Speaker 1: It's but I mean again, another thing that I was

567
00:30:18,240 --> 00:30:21,840
Speaker 1: writing about is smoking addiction in the new book coming out,

568
00:30:22,320 --> 00:30:24,360
Speaker 1: and it's an addiction, so.

569
00:30:24,560 --> 00:30:27,080
Speaker 2: People still do it, but.

570
00:30:28,520 --> 00:30:33,640
Speaker 1: People really like I'm just saying now compared to Gabe's

571
00:30:33,640 --> 00:30:37,000
Speaker 1: mom smoked when she was pregnant, Nanny smoked when she

572
00:30:37,080 --> 00:30:38,200
Speaker 1: was pregnant with all them.

573
00:30:38,480 --> 00:30:40,880
Speaker 2: Like this was Norman, It's wrong with me. This was

574
00:30:40,920 --> 00:30:42,000
Speaker 2: normal exactly.

575
00:30:42,920 --> 00:30:46,320
Speaker 1: But I'm just saying, like, now that we know all

576
00:30:46,360 --> 00:30:48,400
Speaker 1: of this stuff, this is just another thing to add

577
00:30:48,440 --> 00:30:52,840
Speaker 1: on to it. And sometimes like I think that Nanny

578
00:30:52,960 --> 00:30:55,920
Speaker 1: told me when Aunt Tina was born. I think that

579
00:30:56,000 --> 00:30:59,400
Speaker 1: she was born very very small, and her placenta she said, yeah,

580
00:30:59,400 --> 00:31:02,080
Speaker 1: her placenta was like white, and I was like, well, that's.

581
00:31:02,120 --> 00:31:05,280
Speaker 2: Bad, right, So does that mean though?

582
00:31:05,520 --> 00:31:09,040
Speaker 1: It just means that because when the placenta is kind

583
00:31:09,080 --> 00:31:12,760
Speaker 1: of the lifeline between the mom and the fetus, and

584
00:31:13,160 --> 00:31:16,040
Speaker 1: when it's white, it means that it's infarcted or dead,

585
00:31:16,080 --> 00:31:19,160
Speaker 1: so that blood flow going back and forth between the

586
00:31:19,160 --> 00:31:21,640
Speaker 1: mom and the fetus is interrupted in some kind of

587
00:31:21,640 --> 00:31:26,160
Speaker 1: a way. And sometimes rarely, I mean in pathology, we

588
00:31:26,200 --> 00:31:28,880
Speaker 1: see little areas that are white sometimes and it and

589
00:31:30,120 --> 00:31:33,200
Speaker 1: but to see one that has a lot of they're

590
00:31:33,200 --> 00:31:36,800
Speaker 1: called infarcs within the within the placenta is not common.

591
00:31:36,840 --> 00:31:39,880
Speaker 1: I've only seen a couple and it's it usually is

592
00:31:40,000 --> 00:31:44,600
Speaker 1: compatible with death, so so not for the mother, for

593
00:31:44,640 --> 00:31:48,320
Speaker 1: the for the fetus. So she even I I just

594
00:31:48,400 --> 00:31:50,640
Speaker 1: remember because when I got into pathology and stuff, my

595
00:31:50,680 --> 00:31:52,760
Speaker 1: grandmam was like, yeah, they said they wanted to keep

596
00:31:52,800 --> 00:31:54,400
Speaker 1: it and put it in a jar because it was

597
00:31:54,480 --> 00:31:55,080
Speaker 1: so weird.

598
00:31:55,160 --> 00:31:57,840
Speaker 2: And I was just like, why can't I have that?

599
00:31:57,880 --> 00:31:59,040
Speaker 2: You should have taken it home.

600
00:31:59,600 --> 00:32:03,080
Speaker 1: But but yeah, so like for the I just am

601
00:32:03,080 --> 00:32:06,200
Speaker 1: making the point that millions of women used to smoke

602
00:32:06,280 --> 00:32:09,480
Speaker 1: being pregnant and some of the some of the babies

603
00:32:09,480 --> 00:32:12,520
Speaker 1: were born and had problems, but most of them weren't.

604
00:32:13,000 --> 00:32:15,760
Speaker 1: And in this case you could see, like they say

605
00:32:15,800 --> 00:32:18,280
Speaker 1: all the time, if you smoke during pregnancy, you have

606
00:32:18,360 --> 00:32:22,440
Speaker 1: an increased risk of still birth, a miscarriage, low birth weight.

607
00:32:22,520 --> 00:32:25,200
Speaker 1: Well this kind of proves against that, right because that

608
00:32:25,240 --> 00:32:30,280
Speaker 1: didn't happen in this case, So you know, it's it's

609
00:32:30,520 --> 00:32:33,040
Speaker 1: but it happens with some So that's why you that's

610
00:32:33,080 --> 00:32:35,480
Speaker 1: why you say that, just so because you don't know

611
00:32:35,520 --> 00:32:38,080
Speaker 1: which person and which fetus is going to have the problem.

612
00:32:38,560 --> 00:32:40,719
Speaker 2: Well let's jump off that point to talk about this

613
00:32:40,800 --> 00:32:44,360
Speaker 2: other study coming from University of Texas Health Science Center, Houston.

614
00:32:44,800 --> 00:32:48,240
Speaker 2: So they are linking a popular drug taking during pregnancy

615
00:32:48,360 --> 00:32:55,000
Speaker 2: decades ago in colorectal cancer. Yeah, so this is called benedictine,

616
00:32:55,440 --> 00:32:59,480
Speaker 2: that's what it looks like. It's called an anti spasmodic diclocyclomine,

617
00:33:00,040 --> 00:33:03,680
Speaker 2: and this is was supposed to be used for a

618
00:33:03,720 --> 00:33:07,280
Speaker 2: morning sickness. One thing that I didn't I guess I

619
00:33:07,360 --> 00:33:10,320
Speaker 2: didn't really realize until I read about this study was

620
00:33:10,360 --> 00:33:15,880
Speaker 2: that UCLA recently has confirmed that morning sickness is a

621
00:33:15,920 --> 00:33:19,920
Speaker 2: healthy immune response that prevents the body from rejecting the

622
00:33:19,920 --> 00:33:23,520
Speaker 2: baby during pregnancy. Not to say that everyone has to

623
00:33:23,560 --> 00:33:25,800
Speaker 2: have that, because I didn't have morning sickness at all,

624
00:33:25,880 --> 00:33:28,520
Speaker 2: and my mom didn't either, Like some people just don't

625
00:33:28,560 --> 00:33:31,640
Speaker 2: get it. But all that is is an immune response,

626
00:33:31,680 --> 00:33:34,200
Speaker 2: Whereas in the past it used to be thought as

627
00:33:34,760 --> 00:33:38,280
Speaker 2: a mental illness shocker, so they used to just think

628
00:33:38,280 --> 00:33:40,760
Speaker 2: it was in the woman's head or it just was like, oh,

629
00:33:40,920 --> 00:33:43,360
Speaker 2: you're pregnant, so you just think you're feeling this way,

630
00:33:43,360 --> 00:33:45,920
Speaker 2: but you really don't feel this way. And I'm laughing

631
00:33:45,960 --> 00:33:49,560
Speaker 2: because it's so typical that like women, just as always,

632
00:33:49,640 --> 00:33:53,240
Speaker 2: they're just so blown off about everything. That's another I'm

633
00:33:53,280 --> 00:33:55,360
Speaker 2: hitting a lot of good points in the book. That's

634
00:33:55,400 --> 00:33:58,280
Speaker 2: another point that I wrote about this weekend to was

635
00:33:58,480 --> 00:34:03,560
Speaker 2: just how women get blown off and in this case

636
00:34:03,600 --> 00:34:05,280
Speaker 2: died from it. The one that I was writing about.

637
00:34:05,280 --> 00:34:07,160
Speaker 2: I'm not going to give away all the answer.

638
00:34:07,360 --> 00:34:12,040
Speaker 1: But yeah, so I don't I don't know, you know,

639
00:34:13,160 --> 00:34:15,440
Speaker 1: think about this like when momm was because this was

640
00:34:15,480 --> 00:34:17,560
Speaker 1: like during the time now, when momm was pregnant with

641
00:34:17,600 --> 00:34:20,000
Speaker 1: me in the seventies, like going to your doctor and

642
00:34:20,120 --> 00:34:22,239
Speaker 1: let's say she was like I had morning sickness, and

643
00:34:22,280 --> 00:34:26,360
Speaker 1: they gave her this medication which is still used today,

644
00:34:26,400 --> 00:34:29,480
Speaker 1: I believe, but it's it's it's to relieve bowels. I

645
00:34:29,520 --> 00:34:32,960
Speaker 1: think if you have a lot of like inflammatory bowel

646
00:34:32,960 --> 00:34:35,520
Speaker 1: disease or irritable bowel syndrome. It's used to kind of

647
00:34:35,640 --> 00:34:37,520
Speaker 1: you know, when you have that feeling you're bloated. It

648
00:34:38,840 --> 00:34:41,720
Speaker 1: causes you to not have muscle spasms in your bowl.

649
00:34:42,480 --> 00:34:46,080
Speaker 2: So wait, So it was given to pregnant women like

650
00:34:46,120 --> 00:34:49,720
Speaker 2: between the fifties and the eighties and could potentially cause

651
00:34:49,920 --> 00:34:53,759
Speaker 2: colorectal cancer, but now it is used as treatment for well,

652
00:34:53,840 --> 00:34:54,600
Speaker 2: same system.

653
00:34:54,800 --> 00:34:57,800
Speaker 1: No, so it was given to women who had mourning

654
00:34:57,840 --> 00:35:02,280
Speaker 1: sickness and they believe whatever mechanism works on the GI

655
00:35:02,280 --> 00:35:04,800
Speaker 1: track is also working on the mechanism of the GI

656
00:35:04,840 --> 00:35:09,120
Speaker 1: track in the fetus when the mom's pregnant while she's

657
00:35:09,160 --> 00:35:10,160
Speaker 1: taking this medication.

658
00:35:10,600 --> 00:35:13,240
Speaker 2: Okay, so that's where.

659
00:35:13,000 --> 00:35:15,920
Speaker 1: They think it's targeting, is the GI track of the fetus,

660
00:35:15,920 --> 00:35:19,239
Speaker 1: which is coming to find out that adults that were

661
00:35:19,280 --> 00:35:21,600
Speaker 1: born to mothers that took this are now getting colon

662
00:35:21,680 --> 00:35:26,240
Speaker 1: cancer later in life more frequently. So it's interesting because

663
00:35:26,280 --> 00:35:30,120
Speaker 1: this medication was initially approved in nineteen fifty six, and

664
00:35:30,160 --> 00:35:32,680
Speaker 1: they said by the mid seventies as many as twenty

665
00:35:32,719 --> 00:35:36,040
Speaker 1: five percent of pregnant women were taking it, and then

666
00:35:36,080 --> 00:35:39,239
Speaker 1: it was voluntarily discontinued in nineteen eighty three after it

667
00:35:39,280 --> 00:35:42,440
Speaker 1: became a huge thing of lawsuit is causing birth defects.

668
00:35:42,800 --> 00:35:44,760
Speaker 1: I have to talk to mo mom about this because

669
00:35:44,800 --> 00:35:48,799
Speaker 1: I swear I got I got a pill one time

670
00:35:48,800 --> 00:35:50,880
Speaker 1: when I was having like one of these ballots of

671
00:35:50,920 --> 00:35:53,600
Speaker 1: like GI issues. I swear this is one of the

672
00:35:53,680 --> 00:35:56,520
Speaker 1: drugs that the doctor gave me because they said to

673
00:35:56,600 --> 00:35:58,520
Speaker 1: take it if you felt bloated, and it would make

674
00:35:58,560 --> 00:35:59,920
Speaker 1: you not feel bloated anymore.

675
00:36:00,360 --> 00:36:01,560
Speaker 2: And I believe it.

676
00:36:01,440 --> 00:36:03,879
Speaker 1: Was the same medication. And then I swear I told

677
00:36:03,920 --> 00:36:06,120
Speaker 1: momm about it, and she said, oh, I used.

678
00:36:05,920 --> 00:36:08,399
Speaker 2: To take that. I swear she did, but I.

679
00:36:08,320 --> 00:36:10,360
Speaker 1: Have to confirm because I wasn't able to talk to

680
00:36:10,360 --> 00:36:13,320
Speaker 1: her this morning, you know, because she she's probably still sleeping.

681
00:36:14,320 --> 00:36:16,960
Speaker 1: I know these figures are but no, I always call

682
00:36:17,040 --> 00:36:18,640
Speaker 1: pop on when I'm on the way to bring the

683
00:36:18,719 --> 00:36:20,759
Speaker 1: kids to school because it's early and he's awake, and

684
00:36:20,920 --> 00:36:22,240
Speaker 1: he's I'm like, where's mommy.

685
00:36:22,280 --> 00:36:25,480
Speaker 2: Oh ah, she's in there sleep. And still she texted

686
00:36:25,520 --> 00:36:27,640
Speaker 2: me at like eight o'clock in the morning the other

687
00:36:27,719 --> 00:36:29,360
Speaker 2: day and I was like, what is it the middle?

688
00:36:29,480 --> 00:36:32,400
Speaker 1: Are you awake for you or like, yeah, if she

689
00:36:32,480 --> 00:36:37,320
Speaker 1: calls me early, I'm like somebody died, because yeah, anyway,

690
00:36:37,560 --> 00:36:41,920
Speaker 1: I didn't, so I didn't ask her. But but yeah,

691
00:36:42,000 --> 00:36:45,799
Speaker 1: so many people took it, and it seemed like how

692
00:36:45,800 --> 00:36:47,600
Speaker 1: many times are we going to say this? It seemed

693
00:36:47,600 --> 00:36:51,399
Speaker 1: like such an innocent, benign drug. And now, so if

694
00:36:51,440 --> 00:36:55,879
Speaker 1: my mother took that in the nineteen seventies, now all

695
00:36:55,920 --> 00:36:58,359
Speaker 1: of a sudden, it's a problem. That's why you have

696
00:36:58,440 --> 00:37:02,959
Speaker 1: to like not trust every single drug because it could

697
00:37:03,000 --> 00:37:05,479
Speaker 1: cause problem. Look at this one, it's causing problems. Forty

698
00:37:05,560 --> 00:37:07,480
Speaker 1: years down the line for people, Well, is.

699
00:37:07,400 --> 00:37:11,040
Speaker 2: It really the recommendation to try to avoid taking any

700
00:37:11,120 --> 00:37:16,000
Speaker 2: medication during pregnancy if you can? But obviously, yeah, obviously

701
00:37:16,080 --> 00:37:19,359
Speaker 2: there are certain circumstances you have to And I mean,

702
00:37:19,400 --> 00:37:22,320
Speaker 2: I don't know, because personally, nausea is my worst ailment

703
00:37:22,520 --> 00:37:25,480
Speaker 2: I've ever experienced in my life. I'd rather shit my

704
00:37:25,560 --> 00:37:31,600
Speaker 2: pants just half minutes. So I can't imagine feeling that

705
00:37:31,640 --> 00:37:33,799
Speaker 2: way for a couple of months with just like no

706
00:37:33,920 --> 00:37:36,879
Speaker 2: relief in sight. But I don't know. It just it's

707
00:37:37,000 --> 00:37:39,040
Speaker 2: kind of crazy that we see these drugs. Wasn't there

708
00:37:39,120 --> 00:37:41,239
Speaker 2: another drug that a lot of women took back then

709
00:37:41,280 --> 00:37:44,600
Speaker 2: too that caused birth defects? I was thinking about it

710
00:37:44,760 --> 00:37:48,320
Speaker 2: called you know what I'm talking about. Yeah, it's called

711
00:37:48,760 --> 00:37:52,920
Speaker 2: thio Let me look it up. So I was thinking

712
00:37:52,960 --> 00:37:56,240
Speaker 2: about this because after everything came out with Jeffrey Dahmer,

713
00:37:56,800 --> 00:38:00,520
Speaker 2: his dad had said his mom took all these medications

714
00:38:00,560 --> 00:38:03,759
Speaker 2: when she was pregnant with him, and they're wondering, like what.

715
00:38:04,440 --> 00:38:10,480
Speaker 2: So two notable things was fenobarbital and morphine she was

716
00:38:10,520 --> 00:38:12,960
Speaker 2: taking in her first trimester, and his dad said she

717
00:38:13,040 --> 00:38:15,879
Speaker 2: was taking up to twenty six different pills per day.

718
00:38:16,080 --> 00:38:19,799
Speaker 2: The first couple months she was pregnant with him, So

719
00:38:19,960 --> 00:38:22,640
Speaker 2: you're thinking that that's what caused him to be uh,

720
00:38:23,360 --> 00:38:27,799
Speaker 2: we'll have some brain issues that then made him think

721
00:38:27,840 --> 00:38:30,080
Speaker 2: that he could murder people, cut them up and eat

722
00:38:30,120 --> 00:38:31,520
Speaker 2: their bodies. Fell little mind.

723
00:38:32,120 --> 00:38:36,040
Speaker 1: Yeah, and remember all of those baby when those babies

724
00:38:36,040 --> 00:38:39,880
Speaker 1: were born, that they had really small limbs.

725
00:38:40,880 --> 00:38:42,640
Speaker 2: Yeah, like it was a big problem.

726
00:38:42,719 --> 00:38:45,560
Speaker 1: Yeah, that was that was really that is really a

727
00:38:45,640 --> 00:38:49,279
Speaker 1: crazy thing. And I mean and back then, it's just

728
00:38:49,320 --> 00:38:51,759
Speaker 1: like you look at history and you just say, well, oh,

729
00:38:51,800 --> 00:38:53,960
Speaker 1: back then, you know, they didn't know or whatever.

730
00:38:54,040 --> 00:38:56,799
Speaker 2: They still don't know. Now we might know more, but

731
00:38:56,920 --> 00:38:59,120
Speaker 2: not completely right.

732
00:38:59,239 --> 00:39:02,480
Speaker 1: So I don't know if you mentioned this, sorry that

733
00:39:02,760 --> 00:39:05,880
Speaker 1: you said when the drug was available, but then they

734
00:39:06,480 --> 00:39:10,640
Speaker 1: they reformulated the drug because people were having babies born

735
00:39:10,680 --> 00:39:14,600
Speaker 1: with birth defects, it said, and it didn't specify what. No,

736
00:39:15,400 --> 00:39:18,400
Speaker 1: so this is like more of an acute thing. They

737
00:39:18,400 --> 00:39:20,680
Speaker 1: were saying the babies were born with birth defects. So

738
00:39:20,719 --> 00:39:25,640
Speaker 1: they reformulated it to not have the die cyclomine, and

739
00:39:26,320 --> 00:39:29,520
Speaker 1: then they just didn't use it anymore because that's what

740
00:39:29,640 --> 00:39:34,440
Speaker 1: works clearly. So so then they came out with this

741
00:39:34,520 --> 00:39:40,720
Speaker 1: other drug in twenty and thirteen called diklegis possibly FDA

742
00:39:40,800 --> 00:39:44,399
Speaker 1: approved for morning sickness. And do you remember that Kim

743
00:39:44,480 --> 00:39:47,359
Speaker 1: Kardashian was like the sponsor for it. It was right

744
00:39:47,360 --> 00:39:50,480
Speaker 1: around the time I was pregnant with uh Lilian. She

745
00:39:50,680 --> 00:39:53,799
Speaker 1: was the sponsor for this drug and she would post

746
00:39:53,880 --> 00:39:56,080
Speaker 1: pictures of it, like on Instagram and stuff. I guess

747
00:39:56,080 --> 00:39:58,279
Speaker 1: she was getting paid for it. And she didn't put

748
00:39:58,560 --> 00:40:01,080
Speaker 1: any of the warnings, and the f like came at

749
00:40:01,120 --> 00:40:02,960
Speaker 1: her and was like, if you're going to post about that,

750
00:40:03,000 --> 00:40:05,120
Speaker 1: you have to put all of the negative side effects

751
00:40:05,120 --> 00:40:06,480
Speaker 1: that could happen with it and stuff.

752
00:40:06,600 --> 00:40:07,640
Speaker 2: And she had to put out this.

753
00:40:07,600 --> 00:40:10,080
Speaker 1: Big like, oh, I'm sorry, I should have done that,

754
00:40:10,200 --> 00:40:12,200
Speaker 1: And I got a slap on the wrist and this

755
00:40:12,280 --> 00:40:12,640
Speaker 1: and that.

756
00:40:13,840 --> 00:40:16,120
Speaker 2: I don't remember that, but that is interesting that you

757
00:40:16,160 --> 00:40:16,799
Speaker 2: brought that up.

758
00:40:16,920 --> 00:40:20,200
Speaker 1: So so the thing, yeah, you just have to I mean,

759
00:40:20,239 --> 00:40:22,440
Speaker 1: and this just happens. It's not even just with pregnancy,

760
00:40:22,440 --> 00:40:25,720
Speaker 1: it's just with any medications that they're just like, okay,

761
00:40:26,440 --> 00:40:28,960
Speaker 1: I always bring up singular. That's a huge one that

762
00:40:29,040 --> 00:40:31,200
Speaker 1: I gave all of my kids, and that now it's

763
00:40:31,280 --> 00:40:33,399
Speaker 1: just like, oh, it might cause this, and it might

764
00:40:33,440 --> 00:40:36,200
Speaker 1: cause that, and it's just it's just scary.

765
00:40:36,920 --> 00:40:41,799
Speaker 2: I guess it's just not realistic to wait decades to

766
00:40:41,840 --> 00:40:44,360
Speaker 2: see how medication is going to affect people before you

767
00:40:44,480 --> 00:40:48,560
Speaker 2: release it. Obviously, I feel like that's what should happen,

768
00:40:48,760 --> 00:40:51,560
Speaker 2: but it's just not realistic that that's how it operates.

769
00:40:51,600 --> 00:40:53,000
Speaker 2: But it's scary.

770
00:40:52,600 --> 00:40:55,840
Speaker 1: That's what's scary with a lot of the different just

771
00:40:55,880 --> 00:40:59,000
Speaker 1: the vaccines and this and that, well the newer one,

772
00:40:59,040 --> 00:41:01,600
Speaker 1: I should say, sir, and ones that they're just you know,

773
00:41:01,640 --> 00:41:03,520
Speaker 1: they're looking and they're giving it to people.

774
00:41:03,640 --> 00:41:05,080
Speaker 2: Then they're just like.

775
00:41:06,760 --> 00:41:09,120
Speaker 1: A lot of the drugs are just kind of like, yes,

776
00:41:09,280 --> 00:41:11,160
Speaker 1: it doesn't look like if we put it in a

777
00:41:11,200 --> 00:41:13,440
Speaker 1: person they're going to drop dead right away, but like

778
00:41:14,320 --> 00:41:17,440
Speaker 1: they're watching us as it's going as the years go on.

779
00:41:17,600 --> 00:41:20,200
Speaker 1: So you're part of the experiment as well in a way,

780
00:41:20,239 --> 00:41:20,440
Speaker 1: you know.

781
00:41:20,920 --> 00:41:24,400
Speaker 2: No, totally all right, this story is so weird. So

782
00:41:25,640 --> 00:41:28,759
Speaker 2: UK's National Health Service, the NHS, put out this really

783
00:41:28,840 --> 00:41:32,719
Speaker 2: strange report discussing the benefits of first cousin marriage.

784
00:41:33,480 --> 00:41:36,319
Speaker 1: I they're saying that there's an outrage, like, yeah, like

785
00:41:36,440 --> 00:41:38,120
Speaker 1: most people aren't okay with this.

786
00:41:38,640 --> 00:41:41,800
Speaker 2: No, I mean, I think just morally people aren't okay

787
00:41:41,840 --> 00:41:44,719
Speaker 2: with it, and I could be wrong, but is it

788
00:41:44,760 --> 00:41:47,560
Speaker 2: not true that there's many studies backing up all the

789
00:41:47,680 --> 00:41:51,480
Speaker 2: negative impacts I could have on a baby. Yeah, I mean.

790
00:41:51,640 --> 00:41:56,640
Speaker 1: When first cousins that have they literally have the same grandparents.

791
00:41:56,920 --> 00:41:58,920
Speaker 1: I mean, how weird is that? Right?

792
00:41:58,920 --> 00:42:02,520
Speaker 2: It's very weird. I just can't I just can't.

793
00:42:02,320 --> 00:42:05,759
Speaker 1: Even think of it, like it just thinking because sometimes

794
00:42:05,840 --> 00:42:09,479
Speaker 1: people aren't really close with their family, and they might

795
00:42:09,640 --> 00:42:12,120
Speaker 1: live in another state and barely have met their cousins,

796
00:42:12,160 --> 00:42:14,040
Speaker 1: if they ever met their cousins. So I don't think

797
00:42:14,040 --> 00:42:16,799
Speaker 1: that that part is weird of it necessarily because right

798
00:42:16,840 --> 00:42:20,160
Speaker 1: now you're thinking about like us going to family parties

799
00:42:20,160 --> 00:42:21,799
Speaker 1: and these people have been our cousins and we go

800
00:42:22,239 --> 00:42:23,919
Speaker 1: we see them all the time, or this or that.

801
00:42:24,320 --> 00:42:27,960
Speaker 1: But like in a distant situation, I don't think that

802
00:42:28,120 --> 00:42:30,720
Speaker 1: part of it is gross per se if you don't

803
00:42:30,760 --> 00:42:37,880
Speaker 1: have that kind of relationship with them, but you're genetically.

804
00:42:36,520 --> 00:42:38,480
Speaker 2: Similar too similar.

805
00:42:38,880 --> 00:42:42,960
Speaker 1: The closer your genes are, the possibility that there could

806
00:42:43,000 --> 00:42:46,839
Speaker 1: be bigger problems because let's say you carry a gene

807
00:42:46,840 --> 00:42:49,960
Speaker 1: for assistic fibrosis, right, the chance of you meeting a

808
00:42:50,000 --> 00:42:52,520
Speaker 1: regular person off the street that also carries it is

809
00:42:52,560 --> 00:42:54,920
Speaker 1: so much less than a person in your own family

810
00:42:55,080 --> 00:42:58,239
Speaker 1: that probably carries it, and then you're gonna have a

811
00:42:58,280 --> 00:43:02,279
Speaker 1: baby that has cystic fibrosis. That's the biggest thing is

812
00:43:02,280 --> 00:43:06,640
Speaker 1: when you're a carrier of a gene that the chance

813
00:43:06,719 --> 00:43:09,680
Speaker 1: of it coming to your offspring is just so much

814
00:43:09,800 --> 00:43:14,040
Speaker 1: higher than when you don't, just because you're your genome

815
00:43:14,080 --> 00:43:14,760
Speaker 1: is so close.

816
00:43:15,200 --> 00:43:18,480
Speaker 2: All right, So I guess was ever researching was should

817
00:43:18,560 --> 00:43:22,239
Speaker 2: the UK government ban first cousin marriage? And then the

818
00:43:22,280 --> 00:43:26,440
Speaker 2: report went on to describe various benefits, including that marrying

819
00:43:26,480 --> 00:43:30,680
Speaker 2: your first cousin included stronger, extended family support systems and

820
00:43:30,800 --> 00:43:35,120
Speaker 2: economic advantages, while not at all pointing out how dangerous

821
00:43:35,120 --> 00:43:37,480
Speaker 2: it could be to have a kid with what you're saying,

822
00:43:37,520 --> 00:43:40,400
Speaker 2: like the genetics so close together, and how it just

823
00:43:40,680 --> 00:43:41,720
Speaker 2: morally wrong.

824
00:43:42,160 --> 00:43:45,279
Speaker 1: But this is like a major organization out there that's

825
00:43:45,360 --> 00:43:50,360
Speaker 1: like it's their system, yeah, like thed WHL or something.

826
00:43:50,440 --> 00:43:54,319
Speaker 1: It's just it's just weird, Like why, I don't know,

827
00:43:54,360 --> 00:43:57,120
Speaker 1: why would you even why would you even say anything?

828
00:43:58,160 --> 00:44:00,680
Speaker 2: It was weird and they've taken it down since they've

829
00:44:00,680 --> 00:44:04,200
Speaker 2: gotten all the ba I think, but I just thought

830
00:44:04,239 --> 00:44:07,319
Speaker 2: it was really interesting. But you know, of course, you know,

831
00:44:07,760 --> 00:44:12,160
Speaker 2: the Queen, Elizabeth, the Prince. That's what I'm saying. It's like,

832
00:44:12,640 --> 00:44:13,759
Speaker 2: is it different over there?

833
00:44:14,080 --> 00:44:15,960
Speaker 1: I mean, listen, I think all people that live over

834
00:44:16,000 --> 00:44:17,960
Speaker 1: there think the same exact way that we do. But

835
00:44:18,000 --> 00:44:22,600
Speaker 1: there is a culture over there of they're all a

836
00:44:22,600 --> 00:44:24,320
Speaker 1: little bit too closely related.

837
00:44:24,840 --> 00:44:28,200
Speaker 2: No, well, look at this. It says in western countries

838
00:44:28,239 --> 00:44:31,200
Speaker 2: the practice is widely deemed as taboo, but in other

839
00:44:31,280 --> 00:44:33,680
Speaker 2: cultures such as the Middle East, Africa, and Asia, it's

840
00:44:33,719 --> 00:44:38,080
Speaker 2: still a common occurrence. And they're saying worldwide, ten percent

841
00:44:38,200 --> 00:44:41,240
Speaker 2: of all marriages are between first and second cousins.

842
00:44:42,480 --> 00:44:46,080
Speaker 1: They also say that they're not even sure that that's estimated.

843
00:44:46,200 --> 00:44:49,239
Speaker 1: They think that it could be even more, because they said,

844
00:44:49,280 --> 00:44:52,360
Speaker 1: because it's so frowned upon in some cultures, it's not reported.

845
00:44:52,680 --> 00:44:55,399
Speaker 1: And I would go as far to say, like I'm

846
00:44:55,440 --> 00:44:58,799
Speaker 1: thinking about when I got married to Gabe, I don't

847
00:44:59,440 --> 00:45:01,000
Speaker 1: how would they if we were cousins?

848
00:45:01,320 --> 00:45:04,560
Speaker 2: They would. Some states make you do blood tests, but

849
00:45:04,600 --> 00:45:06,439
Speaker 2: they're not what blood tests are they doing.

850
00:45:06,480 --> 00:45:08,360
Speaker 1: They're doing a blood test to see if you have HIV,

851
00:45:08,480 --> 00:45:11,640
Speaker 1: and shit, they're not doing genealogy on you. No, they

852
00:45:11,680 --> 00:45:14,399
Speaker 1: would never be able to know there's there's no way

853
00:45:14,440 --> 00:45:15,800
Speaker 1: that they're doing a genetic testing.

854
00:45:15,880 --> 00:45:18,160
Speaker 2: They're not, I swear to God. And so in the

855
00:45:18,280 --> 00:45:22,320
Speaker 2: United States, it's saying twenty four states prohibited. Eight states,

856
00:45:22,320 --> 00:45:26,640
Speaker 2: which is Arizona, Illinois, Indiana, Maine, Minnesota, Tennessee, Utah, Wisconsin

857
00:45:26,760 --> 00:45:30,879
Speaker 2: still allow it under specific conditions. What are the conditions?

858
00:45:31,960 --> 00:45:34,400
Speaker 1: But I just don't I don't even understand why anybody.

859
00:45:34,400 --> 00:45:36,120
Speaker 1: Why would anybody even tell anybody.

860
00:45:38,120 --> 00:45:40,120
Speaker 2: I don't think you're if you want to, I don't

861
00:45:40,120 --> 00:45:42,480
Speaker 2: think you're coming forward with it. But let's say you

862
00:45:42,560 --> 00:45:44,759
Speaker 2: live in a small town in the middle of Tennessee.

863
00:45:45,600 --> 00:45:47,240
Speaker 2: Everybody probably knows you're related.

864
00:45:47,600 --> 00:45:52,239
Speaker 1: So so like just think about this from let's say

865
00:45:52,920 --> 00:45:55,319
Speaker 1: let's say two of our first cousins got married and

866
00:45:55,360 --> 00:45:57,640
Speaker 1: we were like, no, Like, who do you call the police?

867
00:45:58,800 --> 00:46:01,000
Speaker 1: Who's going to do anything? Who do you go to

868
00:46:01,120 --> 00:46:04,000
Speaker 1: really like to complain about it? I'm no snitch, but

869
00:46:04,320 --> 00:46:07,919
Speaker 1: it's not the same in writing, just so they don't

870
00:46:08,320 --> 00:46:10,239
Speaker 1: so they're like, oh, this is illegal, but what are

871
00:46:10,239 --> 00:46:14,600
Speaker 1: they really going to do about it? Like could you

872
00:46:14,920 --> 00:46:16,400
Speaker 1: the cops are going to come over and say are

873
00:46:16,400 --> 00:46:18,520
Speaker 1: you guys cousins? And you could say no, like the

874
00:46:18,640 --> 00:46:21,080
Speaker 1: way that they would have to go to get your

875
00:46:21,160 --> 00:46:23,480
Speaker 1: your blood from both of your buckle smear and do

876
00:46:23,960 --> 00:46:27,560
Speaker 1: a DNA profile to see how closely related you are.

877
00:46:28,000 --> 00:46:29,960
Speaker 1: I just think they put it out there and they

878
00:46:30,000 --> 00:46:32,200
Speaker 1: hope that like people read it and not do it.

879
00:46:32,320 --> 00:46:35,799
Speaker 2: That's that's it. I just don't understand who I want

880
00:46:35,840 --> 00:46:37,520
Speaker 2: to do it. But I guess they're saying. We're in

881
00:46:37,520 --> 00:46:41,320
Speaker 2: the minority of cultures that think it's so unacceptable because

882
00:46:41,360 --> 00:46:44,480
Speaker 2: we see it as something that's incestuous, but other people

883
00:46:44,840 --> 00:46:46,360
Speaker 2: just think it's totally normal.

884
00:46:47,880 --> 00:46:50,520
Speaker 1: I just I feel like with my cousins, because I

885
00:46:50,560 --> 00:46:53,880
Speaker 1: certainly have cousins that are male that are my age,

886
00:46:53,960 --> 00:46:56,560
Speaker 1: I just always had them in like broad category.

887
00:46:56,920 --> 00:46:59,120
Speaker 2: Well they as they should, you know me. So it's

888
00:46:59,160 --> 00:47:02,480
Speaker 2: just it's just it's just weird. I don't know. Well,

889
00:47:02,840 --> 00:47:04,640
Speaker 2: if you think differently, shade.

890
00:47:04,440 --> 00:47:07,759
Speaker 1: Well, talk about did you talk about the person that

891
00:47:07,800 --> 00:47:11,960
Speaker 1: there's I guess there's you know, there's a social media influencer.

892
00:47:11,480 --> 00:47:12,800
Speaker 2: For everyone for everything.

893
00:47:12,920 --> 00:47:15,200
Speaker 1: They all have their own stick, you know, and this

894
00:47:15,760 --> 00:47:19,800
Speaker 1: particular one is that they're both cousins.

895
00:47:20,880 --> 00:47:23,120
Speaker 2: Did you see that? No, I didn't see it, But

896
00:47:23,160 --> 00:47:26,520
Speaker 2: I just can't get bind their first cousins, and people

897
00:47:26,640 --> 00:47:30,040
Speaker 2: were just like no and freaking out about it and stuff.

898
00:47:30,360 --> 00:47:32,640
Speaker 1: And it is when you look at the picture of

899
00:47:32,680 --> 00:47:35,680
Speaker 1: them as a couple, they don't really they don't look

900
00:47:35,719 --> 00:47:37,919
Speaker 1: alike at all. You would never be able to tell.

901
00:47:38,000 --> 00:47:39,840
Speaker 1: So I'm like, why are you telling people?

902
00:47:40,000 --> 00:47:41,200
Speaker 2: Because they want the attention?

903
00:47:41,520 --> 00:47:47,160
Speaker 1: Yeah, but really, because sometimes I see kids that are

904
00:47:47,200 --> 00:47:49,880
Speaker 1: cousins and You're like, holy shit, they look a lot alike.

905
00:47:49,960 --> 00:47:52,120
Speaker 1: I think we even have some resemblance to some of

906
00:47:52,160 --> 00:47:56,880
Speaker 1: our cousins, but then other cousins we have no resemblance to,

907
00:47:56,960 --> 00:47:59,280
Speaker 1: you know what I mean, It just depends on how.

908
00:47:59,160 --> 00:48:02,520
Speaker 2: Close you know. I think most of our family all

909
00:48:02,560 --> 00:48:04,640
Speaker 2: has similarities.

910
00:48:05,239 --> 00:48:07,600
Speaker 1: Yeah, but some of like some of them will have

911
00:48:07,680 --> 00:48:09,759
Speaker 1: like lighter eyes or something. That's what's happened in this

912
00:48:09,800 --> 00:48:14,120
Speaker 1: particular couple. Like the woman has what looks like brown

913
00:48:14,200 --> 00:48:16,359
Speaker 1: eyes and darker skin, and the guy's like a light

914
00:48:16,680 --> 00:48:19,680
Speaker 1: lighter skin person with lighter eyes, and they don't have

915
00:48:19,880 --> 00:48:22,200
Speaker 1: He has a very skinny nose and she has a

916
00:48:22,280 --> 00:48:25,319
Speaker 1: wider nose. Like I just like, look at both of them,

917
00:48:25,320 --> 00:48:27,160
Speaker 1: and I'm like, you guys could have totally pulled this

918
00:48:27,280 --> 00:48:28,680
Speaker 1: off and nobody would have known.

919
00:48:29,040 --> 00:48:31,160
Speaker 2: I'm just like, how do you get there? You just

920
00:48:31,480 --> 00:48:35,320
Speaker 2: get a family party and you're making out or something.

921
00:48:35,400 --> 00:48:36,600
Speaker 2: You're just thinking of it.

922
00:48:37,080 --> 00:48:40,640
Speaker 1: You're just thinking of it differently, Like think about think

923
00:48:40,680 --> 00:48:44,360
Speaker 1: about Lillian and Lucia for example, like their first cousins

924
00:48:44,640 --> 00:48:48,959
Speaker 1: from Aunt Cam Cam live in Utah and we see

925
00:48:49,000 --> 00:48:51,160
Speaker 1: them once every couple of years, like they have no

926
00:48:51,280 --> 00:48:54,239
Speaker 1: relationship like that, like in every day.

927
00:48:54,440 --> 00:48:58,320
Speaker 2: Yes, but the boundary, like the invisible boundary, should still

928
00:48:58,400 --> 00:49:00,920
Speaker 2: be there. I think about it with people that are

929
00:49:01,000 --> 00:49:04,400
Speaker 2: step siblings too. You know, like you're like the Brady Bunch.

930
00:49:04,520 --> 00:49:08,480
Speaker 2: You're technically not blood, but like you're being raised in

931
00:49:08,560 --> 00:49:13,000
Speaker 2: an environment that you would be. So just put the

932
00:49:13,080 --> 00:49:16,600
Speaker 2: wall up. Yeah, I guess it's bizarre. Okay, let's move

933
00:49:16,640 --> 00:49:18,400
Speaker 2: on to Questions of the Week every Friday on that

934
00:49:18,560 --> 00:49:20,919
Speaker 2: whether knows at the Instagram account or YouTube, you guys

935
00:49:20,960 --> 00:49:23,440
Speaker 2: can ask whatever you want. As a fan of the

936
00:49:23,520 --> 00:49:26,880
Speaker 2: Kennedy family, have you read Rosemary The Hidden Kennedy Daughter

937
00:49:27,040 --> 00:49:29,840
Speaker 2: and do you have thoughts on it? I? No, I haven't.

938
00:49:29,960 --> 00:49:31,879
Speaker 2: Actually I have thoughts on it.

939
00:49:31,920 --> 00:49:34,479
Speaker 1: Believe me, I haven't read that, but maybe I will

940
00:49:34,520 --> 00:49:37,160
Speaker 1: read that because I guess you're telling me it's good

941
00:49:37,200 --> 00:49:40,080
Speaker 1: if you're asking if I've read it. We did do

942
00:49:40,360 --> 00:49:43,399
Speaker 1: a celebrity death dissection on her.

943
00:49:43,719 --> 00:49:44,480
Speaker 2: I'm not sure.

944
00:49:45,480 --> 00:49:48,400
Speaker 1: I'm not sure how I'm going to handle the Kennedy's

945
00:49:48,480 --> 00:49:53,080
Speaker 1: in the book yet, because there's I want to keep

946
00:49:53,120 --> 00:49:53,920
Speaker 1: them all together.

947
00:49:55,160 --> 00:49:56,359
Speaker 2: I probably will.

948
00:49:56,400 --> 00:50:00,440
Speaker 1: But like let's say, for example, Mary Joe Kapet, she

949
00:50:00,920 --> 00:50:03,760
Speaker 1: was not considered to be a celebrity when she died.

950
00:50:03,880 --> 00:50:09,120
Speaker 1: She her name is known because because Ted Kennedy was

951
00:50:09,200 --> 00:50:12,160
Speaker 1: involved with her death, if not caused her death, right,

952
00:50:12,800 --> 00:50:15,640
Speaker 1: But that story is of interest to people who are

953
00:50:16,440 --> 00:50:17,360
Speaker 1: Kennedy fans.

954
00:50:17,960 --> 00:50:21,759
Speaker 2: So would that go in the celebrity death book? Like, well,

955
00:50:21,760 --> 00:50:25,799
Speaker 2: if he's a celebrity, he was a senator, a politician

956
00:50:25,800 --> 00:50:28,840
Speaker 2: of society. Yeah, And if yeah, they were a celebrity

957
00:50:28,960 --> 00:50:31,960
Speaker 2: involved in the death, then yeah, yeah, Like that's what

958
00:50:32,040 --> 00:50:32,319
Speaker 2: I think.

959
00:50:32,360 --> 00:50:34,520
Speaker 1: And I think it's the same thing with Rosemary, Like

960
00:50:35,440 --> 00:50:39,120
Speaker 1: she wasn't she wasn't famous per se, but her brother was.

961
00:50:39,200 --> 00:50:43,799
Speaker 1: And that's I mean, unfortunately, stories like hers may have

962
00:50:43,880 --> 00:50:47,080
Speaker 1: been happening with other people, which to give you, guys,

963
00:50:47,120 --> 00:50:50,800
Speaker 1: just like a brief overview is that she was considered

964
00:50:50,800 --> 00:50:56,640
Speaker 1: to be a rambunctious child and teenager that just wasn't

965
00:50:57,400 --> 00:50:59,480
Speaker 1: I mean, you know that the dad really wanted her

966
00:50:59,520 --> 00:51:01,880
Speaker 1: to be killed and settled down because they had a

967
00:51:01,880 --> 00:51:04,719
Speaker 1: certain image to portray to the world, and she was

968
00:51:04,800 --> 00:51:07,759
Speaker 1: just a little bit wild and decided to do an

969
00:51:07,760 --> 00:51:11,080
Speaker 1: experimental surgery on her called a lobotomy, and when she

970
00:51:11,200 --> 00:51:14,400
Speaker 1: came out of it, it was essentially botched and she

971
00:51:14,560 --> 00:51:19,160
Speaker 1: lost a lot of her mental function. It didn't kill her.

972
00:51:19,239 --> 00:51:21,719
Speaker 1: She lived to be an old woman, actually, but he

973
00:51:21,880 --> 00:51:24,320
Speaker 1: basically sent her away to a home and was like, okay,

974
00:51:24,360 --> 00:51:27,279
Speaker 1: you guys take care of her. And a lot of

975
00:51:27,280 --> 00:51:29,960
Speaker 1: the family members didn't know what was going on with her,

976
00:51:30,520 --> 00:51:33,120
Speaker 1: and it came as a shock as to the real

977
00:51:33,160 --> 00:51:38,920
Speaker 1: life story of what happened. And it's I mean, obviously

978
00:51:38,960 --> 00:51:40,920
Speaker 1: they had a lot of money and power, so they

979
00:51:40,960 --> 00:51:44,640
Speaker 1: had access to doctors that would just be willing to

980
00:51:44,719 --> 00:51:46,360
Speaker 1: do something like this to somebody.

981
00:51:46,880 --> 00:51:49,719
Speaker 2: But so I am familiar with the story. We wrote

982
00:51:49,760 --> 00:51:50,920
Speaker 2: about it a couple years.

983
00:51:50,760 --> 00:51:53,839
Speaker 1: Ago, but I am interested in hearing more details about it,

984
00:51:53,840 --> 00:51:56,560
Speaker 1: for sure, especially if I'm going to be writing about

985
00:51:56,560 --> 00:51:58,359
Speaker 1: that in the book all.

986
00:51:58,360 --> 00:52:02,799
Speaker 2: Right too, How exactly does came answer kills someone? So

987
00:52:03,320 --> 00:52:06,279
Speaker 2: this is a good question. It could kill somebody in

988
00:52:06,360 --> 00:52:10,680
Speaker 2: a couple different ways. So number one, when you have cancer,

989
00:52:11,920 --> 00:52:15,680
Speaker 2: you have cells that are abnormal and they don't function

990
00:52:15,880 --> 00:52:17,320
Speaker 2: as regular cells.

991
00:52:17,760 --> 00:52:21,880
Speaker 1: So if you develop let's say, for example, you develop

992
00:52:22,960 --> 00:52:27,280
Speaker 1: cancer in your pancreas, your pancreas has a certain function.

993
00:52:27,640 --> 00:52:28,880
Speaker 2: One function is.

994
00:52:28,800 --> 00:52:33,880
Speaker 1: To produce insulin that gets secreted into your bloodstream and

995
00:52:33,920 --> 00:52:38,359
Speaker 1: other hormones. The other is to secrete digestive enzymes that

996
00:52:38,400 --> 00:52:41,320
Speaker 1: go into the pancreatic duct that help break down your food.

997
00:52:42,000 --> 00:52:46,160
Speaker 1: When you have a tumor that is growing in the

998
00:52:46,200 --> 00:52:51,160
Speaker 1: cells that normally provide insulin for the bloodstream, those cells

999
00:52:51,280 --> 00:52:55,480
Speaker 1: don't work normal, they don't produce things normal, and all

1000
00:52:55,520 --> 00:52:58,839
Speaker 1: of a sudden, you're going to become a diabetic just

1001
00:52:58,880 --> 00:53:01,840
Speaker 1: because of that, or because of the surgery. You have

1002
00:53:01,880 --> 00:53:05,759
Speaker 1: to get associated with that. So those cells could then

1003
00:53:05,880 --> 00:53:08,800
Speaker 1: move over so they can metastasize, or they could spread

1004
00:53:08,800 --> 00:53:11,200
Speaker 1: to let's say, for example, the liver, like the pancreas

1005
00:53:11,280 --> 00:53:13,319
Speaker 1: is commonly spread to the liver. That would make you

1006
00:53:13,360 --> 00:53:17,120
Speaker 1: a stage four cancer. So now those cells are taking

1007
00:53:17,200 --> 00:53:20,280
Speaker 1: up your normal liver cells, and then your liver stops

1008
00:53:20,360 --> 00:53:24,399
Speaker 1: functioning properly because there's just pancreaus tumor cells in there

1009
00:53:24,480 --> 00:53:27,960
Speaker 1: that aren't functioning as the liver. So that's one reason.

1010
00:53:28,520 --> 00:53:30,960
Speaker 1: Another reason is is that you could get something called

1011
00:53:31,040 --> 00:53:35,799
Speaker 1: cackxia when you have cancer, which is a wasting of

1012
00:53:35,840 --> 00:53:40,120
Speaker 1: the muscles and malnutrition, and you just so you could

1013
00:53:40,120 --> 00:53:42,719
Speaker 1: die because of that. Just because of the wasting that

1014
00:53:42,800 --> 00:53:48,200
Speaker 1: goes with cackxia, other things that tumors sometimes can be

1015
00:53:48,360 --> 00:53:51,560
Speaker 1: very vascular because they need a lot of blood supply

1016
00:53:51,680 --> 00:53:56,480
Speaker 1: to feed them, and sometimes those tumors can bleed and

1017
00:53:56,520 --> 00:53:58,680
Speaker 1: they could cause you to bleed to death. So that's

1018
00:53:58,680 --> 00:54:03,680
Speaker 1: why anytime if if you sometimes when you have colon cancer,

1019
00:54:03,800 --> 00:54:06,080
Speaker 1: one of the first symptoms will be like you're going

1020
00:54:06,440 --> 00:54:10,120
Speaker 1: you poop and there's blood, right, and that could definitely

1021
00:54:10,120 --> 00:54:13,760
Speaker 1: be a sign of cancer. So there's times where people

1022
00:54:13,840 --> 00:54:16,719
Speaker 1: bleed so bad from their tumors that it causes them

1023
00:54:16,760 --> 00:54:20,640
Speaker 1: to essentially bleed to death. It could also it also

1024
00:54:20,719 --> 00:54:22,960
Speaker 1: can increase your risk for clotting. I know that that

1025
00:54:22,960 --> 00:54:26,440
Speaker 1: doesn't make sense, but you're at an increased risk of

1026
00:54:26,440 --> 00:54:29,319
Speaker 1: getting pulmonary embolism and stuff. And then of course if

1027
00:54:29,320 --> 00:54:32,040
Speaker 1: you're on any kind of treatments, like like we said

1028
00:54:32,080 --> 00:54:36,520
Speaker 1: with surgeries, but also chemotherapy, radiation. They all carry risks too,

1029
00:54:37,040 --> 00:54:39,640
Speaker 1: so just a combination of one or all of those

1030
00:54:39,680 --> 00:54:41,880
Speaker 1: things could cause you to die from cancer.

1031
00:54:42,800 --> 00:54:46,080
Speaker 2: All right, last, would you ever consider becoming a daily show?

1032
00:54:47,600 --> 00:54:52,400
Speaker 2: H would you? I would. I I'm very interested in that.

1033
00:54:52,480 --> 00:54:54,520
Speaker 2: I just also at the same time, don't see how

1034
00:54:54,560 --> 00:54:58,000
Speaker 2: it's possible with running the website too. Yeah, I mean

1035
00:54:58,040 --> 00:54:58,480
Speaker 2: I would.

1036
00:54:58,600 --> 00:55:00,960
Speaker 1: I would be interested if you actually want to hear

1037
00:55:01,040 --> 00:55:04,960
Speaker 1: from us every day, because it does suck because we

1038
00:55:05,040 --> 00:55:07,440
Speaker 1: cut a lot of stories and that does bum me

1039
00:55:07,480 --> 00:55:09,480
Speaker 1: out because I feel like there's so many things I

1040
00:55:09,560 --> 00:55:11,319
Speaker 1: always want to talk about and I'm just kind of

1041
00:55:11,360 --> 00:55:15,160
Speaker 1: like there's just not enough time. And we do cover

1042
00:55:15,200 --> 00:55:17,440
Speaker 1: a lot of the cut stories in the grossroom when

1043
00:55:17,480 --> 00:55:21,320
Speaker 1: we do our episode in there on usually on Fridays

1044
00:55:21,360 --> 00:55:25,080
Speaker 1: towards the end of the week. But yeah, I mean,

1045
00:55:25,160 --> 00:55:29,319
Speaker 1: if if we got paid good, I would, I'd be

1046
00:55:29,400 --> 00:55:33,560
Speaker 1: into it. Yeah, if it could, if it could supplement

1047
00:55:33,719 --> 00:55:36,120
Speaker 1: like some other things that we have to do, But yeah,

1048
00:55:35,800 --> 00:55:40,080
Speaker 1: I don't know, not right now anyway. We just right now,

1049
00:55:40,080 --> 00:55:43,279
Speaker 1: I'm just like I barely have any extra time, and

1050
00:55:43,719 --> 00:55:48,040
Speaker 1: I'm scared to take on more stuff because I don't

1051
00:55:48,120 --> 00:55:50,800
Speaker 1: I don't want to be working twenty four to seven,

1052
00:55:50,840 --> 00:55:51,040
Speaker 1: you know.

1053
00:55:51,520 --> 00:55:53,320
Speaker 2: Yeah, even when we up to three, it was a

1054
00:55:53,400 --> 00:55:55,600
Speaker 2: little bit of an adjustment. But I feel like we've

1055
00:55:55,640 --> 00:55:57,840
Speaker 2: got it kind of worked out right now. But that

1056
00:55:57,960 --> 00:56:01,799
Speaker 2: means we have no free time like we have been.

1057
00:56:03,160 --> 00:56:06,200
Speaker 1: We have all these stories and then it's like we

1058
00:56:06,320 --> 00:56:08,560
Speaker 1: just keep meeting all these awesome people that we want

1059
00:56:08,600 --> 00:56:10,680
Speaker 1: to interview. So we have a bunch of interviews coming

1060
00:56:10,760 --> 00:56:14,640
Speaker 1: up in the next couple of weeks. And but I

1061
00:56:14,680 --> 00:56:16,920
Speaker 1: we love it, so we want to do it more

1062
00:56:16,920 --> 00:56:18,160
Speaker 1: if it's possible for sure.

1063
00:56:18,840 --> 00:56:22,320
Speaker 2: Yeah, I mean, I guess the best way moving forward

1064
00:56:22,480 --> 00:56:25,120
Speaker 2: is you know, you got to help you as the listeners,

1065
00:56:25,160 --> 00:56:27,600
Speaker 2: have to help our show grow too by leaving us

1066
00:56:28,160 --> 00:56:33,120
Speaker 2: nice reviews and subscribing to YouTube and promoting our clips

1067
00:56:33,160 --> 00:56:35,400
Speaker 2: things like that, because the more the show grows, the

1068
00:56:35,480 --> 00:56:38,799
Speaker 2: better we have the opportunity to do more content for

1069
00:56:38,880 --> 00:56:41,720
Speaker 2: you guys. But right now it's just a little crazy,

1070
00:56:41,800 --> 00:56:45,719
Speaker 2: so we'd like to but hopefully we'll get there one day.

1071
00:56:46,239 --> 00:56:47,960
Speaker 2: All right, guys, We are going to be sponsoring to

1072
00:56:48,080 --> 00:56:51,880
Speaker 2: golf carts the Heeping Hope, a live golf classic next Sunday,

1073
00:56:52,040 --> 00:56:53,840
Speaker 2: and then the following week We're going to be a

1074
00:56:53,960 --> 00:56:57,080
Speaker 2: dark Side New Jersey in Edison doing a live show.

1075
00:56:57,400 --> 00:56:59,959
Speaker 2: Please head over to Appler Spotify to leave us for review,

1076
00:57:00,160 --> 00:57:03,000
Speaker 2: subscribe to our YouTube channel, and submit stories to stories

1077
00:57:03,040 --> 00:57:06,000
Speaker 2: at Mothernosdeath dot com. You know, I just realized that

1078
00:57:06,080 --> 00:57:09,680
Speaker 2: we didn't talk about our event with Cheryl. Oh. Yeah,

1079
00:57:09,719 --> 00:57:13,800
Speaker 2: to see it the Wildlife CSI training two minutes just okay,

1080
00:57:14,040 --> 00:57:17,000
Speaker 2: it was awesome. It was awesome. We drove out there.

1081
00:57:17,200 --> 00:57:21,520
Speaker 2: It was really cool. I was not expecting it, you know,

1082
00:57:21,640 --> 00:57:23,840
Speaker 2: like you just never know what you're gonna pull up to,

1083
00:57:23,920 --> 00:57:26,080
Speaker 2: and it was like really far away from us. But

1084
00:57:26,160 --> 00:57:28,680
Speaker 2: the zoo was beautiful. It was so clean in there.

1085
00:57:29,200 --> 00:57:31,200
Speaker 2: Apparently up till a couple of years ago it was

1086
00:57:31,240 --> 00:57:33,560
Speaker 2: only a dollar to go there, which I can't even

1087
00:57:33,600 --> 00:57:36,320
Speaker 2: believe how they kept up the facilities to look so nice.

1088
00:57:36,760 --> 00:57:40,000
Speaker 2: The sloth was so cute. Yeah, so the presenters presented

1089
00:57:40,040 --> 00:57:42,800
Speaker 2: in front of a sloth and it was being extracute

1090
00:57:42,840 --> 00:57:45,480
Speaker 2: the entire time, and it wasn't in a cage and

1091
00:57:45,560 --> 00:57:47,560
Speaker 2: it was just like hanging off branches and it just

1092
00:57:47,680 --> 00:57:50,480
Speaker 2: was so cool to watch it. Yeah, we had a

1093
00:57:50,520 --> 00:57:54,000
Speaker 2: really good time. The presentations were really amazing. So hopefully

1094
00:57:54,000 --> 00:57:57,320
Speaker 2: we'll have both presenters on it very soon. Yes, you

1095
00:57:57,360 --> 00:57:59,960
Speaker 2: guys would love both of their stories. And we all

1096
00:58:00,240 --> 00:58:02,440
Speaker 2: I met some awesome people. We met Sarah from the

1097
00:58:02,480 --> 00:58:05,640
Speaker 2: Gross room. We had Caroline there of course, yeah, and

1098
00:58:05,720 --> 00:58:08,400
Speaker 2: some other listeners we have every single time we do

1099
00:58:08,480 --> 00:58:08,840
Speaker 2: an event.

1100
00:58:08,920 --> 00:58:11,560
Speaker 1: It's just really awesome and great everyone that we get

1101
00:58:11,560 --> 00:58:15,800
Speaker 1: to meet. So we're gonna be and it introduced us

1102
00:58:15,800 --> 00:58:19,200
Speaker 1: to some new people that were like, oh, yeah, these

1103
00:58:19,640 --> 00:58:21,840
Speaker 1: guys need to be on our show. So we're gonna

1104
00:58:22,080 --> 00:58:26,000
Speaker 1: definitely bring you that. We'll talk about it more later though.

1105
00:58:26,520 --> 00:58:28,000
Speaker 1: All Right, we'll see you guys tomorrow.

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00:58:28,040 --> 00:58:28,440
Speaker 2: Awesome.

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00:58:32,080 --> 00:58:35,920
Speaker 1: Thank you for listening to Mother nos Death. As a reminder,

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00:58:36,120 --> 00:58:39,920
Speaker 1: my training is as a pathologist assistant. I have a

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00:58:39,960 --> 00:58:44,320
Speaker 1: master's level education and specialize in anatomy and pathology education.

1110
00:58:45,440 --> 00:58:47,600
Speaker 1: I am not a doctor and I have not diagnosed

1111
00:58:47,680 --> 00:58:51,320
Speaker 1: or treated anyone dead or alive without the assistance of

1112
00:58:51,360 --> 00:58:56,560
Speaker 1: a licensed medical doctor. This show, my website, and social

1113
00:58:56,600 --> 00:58:59,960
Speaker 1: media accounts are designed to educate and inform people based

1114
00:59:00,200 --> 00:59:04,080
Speaker 1: on my experience working in pathology, so they can make

1115
00:59:04,280 --> 00:59:08,960
Speaker 1: healthier decisions regarding their life and well being. Always remember

1116
00:59:09,000 --> 00:59:12,120
Speaker 1: that science is changing every day and The opinions expressed

1117
00:59:12,120 --> 00:59:14,760
Speaker 1: in this episode are based on my knowledge of those

1118
00:59:14,800 --> 00:59:18,600
Speaker 1: subjects at the time of publication. If you are having

1119
00:59:18,640 --> 00:59:22,600
Speaker 1: a medical problem, have a medical question, or having a

1120
00:59:22,640 --> 00:59:27,000
Speaker 1: medical emergency, please contact your physician or visit an urgent

1121
00:59:27,040 --> 00:59:29,160
Speaker 1: care center, emergency room.

1122
00:59:29,160 --> 00:59:29,920
Speaker 2: Or hospital.

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00:59:30,600 --> 00:59:36,320
Speaker 1: Please rate, review, and subscribe to Mother Knows Death on Apple, Spotify, YouTube,

1124
00:59:36,560 --> 00:59:42,320
Speaker 1: or anywhere you get podcasts. Thanks