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

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Speaker 2: Everyone, Welcome to Mother Knows Death. On today's episode, we

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Speaker 2: have an update on a college cheerleader who killed her

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Speaker 2: newborn infant. We're going to talk about a couple of

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Speaker 2: horrific shootings that happened this weekend, including one at a

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Speaker 2: Mormon church and the other at a boat bar. Then

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Speaker 2: we'll discuss teenagers getting cosmetic surgery, a murderer who confessed

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Speaker 2: to his crimes live in a TV interview, and how

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Speaker 2: our brains are affected by seeing horrible content on social

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Speaker 2: media all day. Then we'll finish up with your questions.

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Speaker 2: All that and more. On today's episode, Let's get started

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Speaker 2: with Lincoln Snelling the update with her.

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Speaker 1: Yeah, so updates with the Kentucky cheerleader who was arrested

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Speaker 1: after her newborn was found dead in a trash bag

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Speaker 1: in her bedroom closet. So when we first started covering this,

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Speaker 1: I feel like our number one questions were like, what

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Speaker 1: what even happened? How did she hide this pregnancy? Who

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Speaker 1: called the police? Because that wasn't clear. So now we're

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Speaker 1: starting to get some more info on that. So the

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Speaker 1: story that's coming out now is that she gave birth

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Speaker 1: in the middle of the night, was awake for about

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Speaker 1: thirty minutes after giving birth, and then she's claiming she

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Speaker 1: passed out on top of the baby and when she

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Speaker 1: woke up, the baby was turning purple and blue. So

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Speaker 1: then she swaddled him and laid next to him for

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Speaker 1: a while to comfort herself. And then after that she

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Speaker 1: told her roommates that she had passed out because she

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Speaker 1: hadn't eaten. She went to McDonald's and then she went

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Speaker 1: to a health clinic. She never ended up going inside,

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Speaker 1: but while she was gone, the roommates were suspicious because

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Speaker 1: they heard all these noises in the middle of the night,

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Speaker 1: and then that's when they found the baby.

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Speaker 2: Yeah, so, my I just saw a new picture that's

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Speaker 2: floating around of her from July, which was what like

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Speaker 2: a month before this or this was when did this happen?

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Speaker 2: Late August? Okay, so yeah, so it was like a

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Speaker 2: month before this happened, right, And she looks pregnant to me.

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Speaker 2: If I saw her just and I didn't know her,

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Speaker 2: I'd be like, Oh, that girl's pregnant because she's wearing

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Speaker 2: I mean, the girl's wearing a t shirt, But she

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Speaker 2: just has a certain look that pregnant people get, and like,

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Speaker 2: trust me, I know just that people in general gain

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Speaker 2: weight in different ways and everything like that. So you

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Speaker 2: can't just assume that someone's pregnant, because sometimes people just

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Speaker 2: gain weight in their belly. Right. But the thing is

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Speaker 2: in this particular situation is that these roommates have lived

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Speaker 2: with her for some time and they know what her

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Speaker 2: body used to look like and now what it looks

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Speaker 2: like being whatever she was nine or eight or nine

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Speaker 2: months pregnant. Right, So, even though Laken had never actually

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Speaker 2: admitted to being pregnant, there's no way in the back

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Speaker 2: of everyone's mind that knew her that people weren't like

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Speaker 2: what's going on here. Especially it's not like it was

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Speaker 2: the winner and she was wearing big hoodies and was

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Speaker 2: able to hide it a little bit. More. It's like

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Speaker 2: the summer and she's wearing T shirts and they're to

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Speaker 2: anybody looking, they would notice. So her friends probably were

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Speaker 2: all whispering behind her back, like what's going on here?

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Speaker 2: Why does she look like this? And so as soon

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Speaker 2: as all this this unusual stuff started happening, like them

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Speaker 2: hearing weird noises at night, followed by her being like, oh,

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Speaker 2: I just stinted, I have to go get treatment at

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Speaker 2: the health center. I think that they were like, let's

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Speaker 2: go creep in her room and see what's going on here. Yeah.

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Speaker 1: I said this at Crime Come Too when we originally

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Speaker 1: covered the story, that I have the type of belly

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Speaker 1: that if I'm bloated in a specific way, I could

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Speaker 1: look four.

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Speaker 2: To five months pregnant.

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Speaker 1: Right. So I never want to ever criticize people the

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Speaker 1: way they look. And there is a world in which

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Speaker 1: she could have just her roommates or her friends or

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Speaker 1: her teammates might have just thought, maybe she's gained weight,

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Speaker 1: and maybe that's just the way it's sticking out. But

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Speaker 1: you never want to be that person that's you know,

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Speaker 1: we all know somebody or we've all done it where

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Speaker 1: you've ask somebody when they're due and they're not pregnant, right,

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Speaker 1: And it's the worst thing ever, And nobody should ever

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Speaker 1: ask a pregnant person unless they're forthcoming about it themselves.

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Speaker 1: But I do think it's one of those things where

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Speaker 1: the pictures we've seen of her in the past, she's

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Speaker 1: extremely thin. She's always wearing crop tops with her flat

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Speaker 1: belly showing, so to me, if she's eight or nine

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Speaker 1: months pregnant, it would be way more obvious than the

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Speaker 1: normal person that might just have the same kind of

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Speaker 1: stomach I do, where I could look pregnant.

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Speaker 2: That's what I say. Like, I'm I'm a person too

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Speaker 2: that gains weight in my belly all the time. It's

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Speaker 2: like between my butt to my belly button is like

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Speaker 2: where I gain most of my weight. Right, But I never,

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Speaker 2: even when I have been at my very very skinniest,

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Speaker 2: I've never ever had a flat belly ever me neither.

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Speaker 2: I feel like it's like a certain body type and

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Speaker 2: she had a very athletic build prior to this. But

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Speaker 2: regardless of that, Like, I just think that they all

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Speaker 2: had in the back of their mind that something was

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Speaker 2: up because it Yeah.

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Speaker 1: But if somebody's not saying it out loud and being

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Speaker 1: forthcoming about it, you can even call them out and say,

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Speaker 1: we think you're pregnant. But what if she's you know,

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Speaker 1: you can't and it's made up. You don't have to

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Speaker 1: tell people. I mean, it's just whatever.

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Speaker 2: But like in this particular situation, I just feel like

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Speaker 2: the roommates, Like imagine just being at college and living

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Speaker 2: with your friends and experiencing this, like one of the

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Speaker 2: roommates found the dead baby in the bag.

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Speaker 1: Yeah, I mean that's horrific in itself. And then they're

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Speaker 1: saying a search of her phone revealed deleted pregnancy searches,

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Speaker 1: labor photos, and evidence of a concealed pregnancy, So clearly,

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Speaker 1: two investigators would appear she was fully aware of what

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Speaker 1: was going on. So that's what I had questions about,

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Speaker 1: because the searches seemed like, obviously, if you're pregnant, even

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Speaker 1: if you're pregnant and planning on having pregnancy, people search

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Speaker 1: a lot of different questions.

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Speaker 2: That's like totally normal. Oh Yet I don't think the

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Speaker 2: searches are abnormal. I think it's weird that they said

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Speaker 2: that there were pictures of labor, Like was she searching

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Speaker 2: for pictures of people in labor or was she taking

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Speaker 2: pictures of herself in labor?

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Speaker 1: I thought a couple of weeks ago they had said

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Speaker 1: there was pictures of her own labor on there. But

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Speaker 1: I don't really understand what happened. I don't understand the

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Speaker 1: psyche behind her at all in this situation. I mean,

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Speaker 1: she could have totally given birth and given the shot,

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Speaker 1: you know, like we always started talking about firehouses have

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Speaker 1: that kind of like don't ask, don't tell her whatever program.

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Speaker 2: Well the parent, did you know that in this story

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Speaker 2: that there was one within ten minutes of where she

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Speaker 2: had this baby. Well I didn't know that. Yeah, that's

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Speaker 2: something that came out maybe a week or two ago,

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Speaker 2: was that they're called like safe haven box. It's a

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Speaker 2: box outside of a fire station that you could stick

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Speaker 2: a newborn infant in and you won't get in any trouble.

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Speaker 2: There's like no questions, don't ask, don't tell, kind of

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Speaker 2: like thing, which is which is really awesome because she

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Speaker 2: could have just but I don't think that many people

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Speaker 2: know about that. And I'm telling you, like, there's something

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Speaker 2: that in her mind she wasn't really convinced that this

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Speaker 2: was happening.

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Speaker 1: Well, she it the way I see it. She's pleaded,

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Speaker 1: not guilty so far, so I don't think she thinks

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Speaker 1: she did anything wrong.

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Speaker 2: And I remember the.

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Speaker 1: Autopsy was inconclusive how the baby died, So would they

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Speaker 1: be able to go back and prove her theory or

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Speaker 1: whatever she said that she passed out on the baby.

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Speaker 2: They said that the autopsy was inconclusive, but they all

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Speaker 2: said they also said that it's still pending, so that

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Speaker 2: means that I don't know exactly what they're looking for.

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Speaker 2: That's this long. I mean that's a month ago, right,

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Speaker 2: but they're waiting for additional tests to confirm and probably investigation.

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Speaker 2: But she literally said that the baby was alive and

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Speaker 2: was whimper like making a whimpering noise, So she kind

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Speaker 2: of is saying that the baby was alive it wasn't

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Speaker 2: a stillborn, which well, yeah, and like listen, like they

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Speaker 2: still really need to conclude that with the autopsy if possible,

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Speaker 2: because that's a huge difference between how she's going to

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Speaker 2: get in trouble for this, because if she just had

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Speaker 2: a stillborn and just concealed it, she's she's not gonna

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Speaker 2: get in any I mean, she might get in trouble

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Speaker 2: for concealing the death, but I don't even think that

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Speaker 2: she would. It's like a huge difference in charges besides murder,

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Speaker 2: you know, That's what I'm talking about.

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Speaker 1: Though. Let's say she did give birth and she genuinely

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Speaker 1: passed out on the baby and the baby died by accident.

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Speaker 1: She still hid evidence and put the child in a

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Speaker 1: trash bag, So like she needs to get she still

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Speaker 1: committed some form of a crime.

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Speaker 2: Yeah, and I mean that and that could just even

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Speaker 2: be if that really I just I don't know, Like,

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Speaker 2: come on, I just don't even buy it. But let's

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Speaker 2: say in theory that that happened, because I mean, anybody

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Speaker 2: who's given birth you know that that's a possibility and

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Speaker 2: you have blood loss and things like that. But the

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Speaker 2: fact that she passed out like that and just so

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Speaker 2: happened to fall on top of the baby, it's just

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Speaker 2: like it's still going to be negligence for her not

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Speaker 2: doing the right thing right, like well exactly. So there's

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Speaker 2: just what's interesting too, is that she was released on

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Speaker 2: bond to her parents, and like, what are her parents

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Speaker 2: think about this? They killed she killed their grandchild.

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Speaker 1: Well, I'm sure they're not okay with it if they're

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Speaker 1: good people, because nobody could understand being in this predicament.

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Speaker 1: I mean, you're hiding a pregnancy. In general, there's evidence

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Speaker 1: we know that she was aware of it. Even if

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Speaker 1: she was in denial, she still just did the wrong thing.

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Speaker 1: Even if she didn't want the kid. There's a million

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Speaker 1: things she could have done without the kid dying unless

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Speaker 1: it was genuinely an accident.

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Speaker 2: Listen, Like you could say, if let's say, for example,

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Speaker 2: that that happened and she passed out, if she like

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Speaker 2: woke up right away and called naima Wan and was

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Speaker 2: freaking out like that would actually like you might believe

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Speaker 2: that a little tiny bit, but the fact that she

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Speaker 2: wrapped it up and put it in a trash bag, like,

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Speaker 2: I'm sorry, but when you have a baby, the last

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Speaker 2: thing that you want to think about is putting them

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Speaker 2: in a trash bag, even if you know they're dead

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Speaker 2: or it's just completely disrespectful and and also like metaphoric

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Speaker 2: of putting your child in a trash bag listen. And

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Speaker 2: then I know, but then after that she went to

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Speaker 2: McDonald's and she told her friends that she fainted, like

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Speaker 2: she didn't say anything about it. So to me, it's

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Speaker 2: like if it was an accident, like it's just bullshit.

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Speaker 2: I mean, of course she's going to deny it because

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Speaker 2: she's in ah ton of trouble right now.

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Speaker 1: Well, even if it was an accident, she's not going

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Speaker 1: to be forthcoming with this personality that she just killed

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Speaker 1: a child.

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Speaker 2: I know exactly. So it's just like whatever, okay, over

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Speaker 2: the week's wait, so is that real quick is that

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Speaker 2: going that's gonna go to court and stuff like. That's

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Speaker 2: something we're gonna be able to keep an eye on

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Speaker 2: and watch.

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Speaker 1: Yeah, they're saying there's enough evidence to present it to

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Speaker 1: a grand jury.

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Speaker 2: Okay, that I mean, that'll be really interesting to watch.

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Speaker 2: I'm curious how that's gonna go down, So we'll keep

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Speaker 2: you guys up to date on that.

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Speaker 1: I mean, I would say she's pleaded not guilty right now,

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Speaker 1: but at this point, which I could be wrong, because

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Speaker 1: I feel like I was so wrong about the Idaho case.

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Speaker 1: I feel like there's so much evidence that it's not

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Speaker 1: gonna be good for her.

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Speaker 2: So she should take a deal.

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Speaker 1: Yeah, but I would be interested to see this pan

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Speaker 1: out at trial.

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Speaker 2: Yeah, totally. Okay.

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Speaker 1: Over the weekend in Michigan, a man drove his truck

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Speaker 1: into an LDS church before getting out, shooting at hundreds

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Speaker 1: of congregants and setting the building on fire.

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Speaker 2: Yeah, man, this is this has been like just a

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Speaker 2: rough couple of weeks for sure, with certain news stories.

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Speaker 2: And now I guess this guy was in his forties

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Speaker 2: and he just didn't like Mormon people. There's lots of

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Speaker 2: documentation of him. I guess now when they're interviewing different

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Speaker 2: people saying that it seems like he was in a

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Speaker 2: relationship with someone that was Mormon, maybe over ten years

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Speaker 2: ago and just kind of has this built up resentment

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Speaker 2: towards it for whatever reason. And just even recently, there

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Speaker 2: was this person that was running was running as a politician,

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Speaker 2: that had a conversation with him and he was making

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Speaker 2: a lot of comments that he didn't believe in the

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Speaker 2: religion and that he thought that they weren't Christian and

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Speaker 2: actually said the words he thought that they were anti

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Speaker 2: christ which also as soon as this person that was

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Speaker 2: running politicians saw him said that saw that the person

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Speaker 2: that carried this out said that he knew right away

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Speaker 2: that it was that guy because it was just such

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Speaker 2: specific rhetoric.

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Speaker 1: Right, Yeah, Yeah, I do think it's interesting. I mean,

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Speaker 1: they have a very controversial background of how that religion

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Speaker 1: started in everything, but you could argue that every single

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Speaker 1: religion does. But it is disturbing to think that somebody

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Speaker 1: would target a group like this.

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Speaker 2: I mean, I know, I went on a.

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Speaker 1: Rant last week how I was really pissed at the

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Speaker 1: Catholic Church for banning that surrogate teacher, Right, but I

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Speaker 1: think you know, when you go to a place, if

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Speaker 1: people find peace within a church and they're there doing

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Speaker 1: worship and just trying to be themselves and you know,

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Speaker 1: partake in their faith, and then this person just comes

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Speaker 1: in and attacks you when you're just innocently trying to

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Speaker 1: be at church.

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Speaker 2: That's horrific. Yeah, and it just the whole thing went

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Speaker 2: down so crazy, and it just so happens that there

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Speaker 2: were a lot of resident physicians that were just at

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Speaker 2: church so happened to be there. So not only were

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Speaker 2: they victims, but they were also acting as first responders

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Speaker 2: in the case. I mean, that's a lot of people

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Speaker 2: to get shot, and time is of the essence that situation.

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Speaker 2: But then on top of that, he set the building

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Speaker 2: on fire too, so people not only died of gunshot wounds,

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Speaker 2: but also died in the fire. I don't know if

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Speaker 2: it was they were shot and they were not able

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Speaker 2: to get out of the building in time, or if

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Speaker 2: they just got caught in the flames and weren't able

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Speaker 2: to exit the building.

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Speaker 1: But yeah, because it's really terrible, they said. One victim

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Speaker 1: died at the scene, another died at the hospital, and

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Speaker 1: two more were found at the scene due to the

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Speaker 1: fire so as of when we're recording, four people are dead,

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Speaker 1: eight are injured. The eight people that are injured range

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Speaker 1: in age from six to seventy six years old. Two

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Speaker 1: of them are in critical condition. It's horrible to see.

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Speaker 1: And so this guy, it's like, already traumatic. You have

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Speaker 1: a car drive through a building, then he gets out,

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Speaker 1: then he starts shooting, then he sets the building on fire.

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Speaker 1: Where is this going to end? These people must have

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Speaker 1: been terrified.

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Speaker 2: So this guy is a former marine, and there's there

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Speaker 2: actually might be a connection with the next case that

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Speaker 2: we're going to talk about too. But right before, a

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Speaker 2: couple of days before he died, his mom had put

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Speaker 2: this cryptic post up on Facebook, which they don't know

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Speaker 2: who exactly she was talking about, but saying saying something

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Speaker 2: that someone in her life was refusing to take accountability

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Speaker 2: and always twist everything, which is interesting if that was,

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Speaker 2: if that was geared towards him or not, we don't

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Speaker 2: really know any details. But getting back to his service,

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Speaker 2: he's so he's a forty year old guy that served

302
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Speaker 2: and went away to Iraq, right, And the interesting thing

303
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Speaker 2: is is that this other guy in this next story

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Speaker 2: that we're going to talk about also served They both

305
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Speaker 2: served at Camp La June. They were both deployed at

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Speaker 2: some point and there was like an overlap in their

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Speaker 2: time at Camp La June. And they're both around the

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Speaker 2: same age, like there'd be a connection. I don't think

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Speaker 2: that they've found one. It's just really kind of interesting, right.

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Speaker 1: Well, isn't there all that controversy with all those there's

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Speaker 1: all those commercials about that camp, right?

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Speaker 2: Yeah, but that was something about one of our friends

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Speaker 2: actually was involved with that because he got some kind

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Speaker 2: of tumor. I think it was because of contaminated water

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Speaker 2: or something there. Well, like a long time, like a

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Speaker 2: while ago.

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Speaker 1: Well, I think it was bad because I feel like

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Speaker 1: it was background. How old is that guy that you know?

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Speaker 1: Because I feel like Ricky was he's like sixty, Okay.

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Speaker 1: I feel like Ricky was saying he was wondering if

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Speaker 1: his dad was involved because his dad had gone there

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Speaker 1: when he went to Vietnam. But maybe that was too

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Speaker 1: far back. So yeah, this next incident was just twelve

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Speaker 1: hours before in North Carolina.

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Speaker 2: This is insane.

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Speaker 1: So this guy who's also a forty year old ex marine,

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Speaker 1: he pulls up on a boat to a boat bar

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Speaker 1: and just opens fire on people eating on the deck.

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Speaker 2: I don't. Yeah, And like, what was that one about?

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Speaker 2: I actually think that I went to this place. Oh really, Yeah,

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Speaker 2: because Gabe and I went to this Oak Island for

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Speaker 2: our anniversary one year. Remember we stayed at like that

333
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Speaker 2: beach house. We drove down there for a couple of days.

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Speaker 2: Oh yeah, and we went to a bar that was

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Speaker 2: there on Cape Fear on the water that was right

336
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Speaker 2: around that area. So I don't it just looks kind

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Speaker 2: of familiar to me. It's just you know, you go

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Speaker 2: to those places all the time when you're on vacations

339
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Speaker 2: like that. And what was the reason was? Did you

340
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Speaker 2: cause I couldn't really find anything like did he go

341
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Speaker 2: there for someone specific or was it just completely random?

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Speaker 1: Like what was the way I see it now is

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Speaker 1: it was completely random and they're looking for a motive.

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Speaker 1: But unlike the last case. In the last case, I

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Speaker 1: don't think we mentioned that the attacker ended up getting

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Speaker 1: killed in the police shootout, so they need to search

347
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Speaker 1: a little harder for motive, whereas they have this guy.

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Speaker 2: Yeah, that's and I mean that's good sometimes because I

349
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Speaker 2: guess trying to get to the bottom of why these

350
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Speaker 2: things happen the best thing is is to be able

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Speaker 2: to talk to these people and see, now this guy

352
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Speaker 2: had a little bit of a different history because his

353
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Speaker 2: wife was interviewed that they had been divorced already for

354
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Speaker 2: ten years and she was like he was even then,

355
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Speaker 2: he was like always crying for help and having serious

356
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Speaker 2: mental health issues and apparently wasn't getting treated properly.

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Speaker 1: Well, you know, with this case, I just think the

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Speaker 1: details between the two cases, especially them only being twelve

359
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Speaker 1: hours apart, are so eerie, both of them being forty

360
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Speaker 1: year old marine vit both cases. So in this case,

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Speaker 1: three people were killed, eight people were injured. That's almost

362
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Speaker 1: identical to the last case where four people were killed,

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Speaker 1: eight people were injured. And you know, you just see

364
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Speaker 1: this history of the potential PTSD from serving in the military,

365
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Speaker 1: or not military but the Marines, you know.

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Speaker 2: So yeah, I mean, and that's something then that I

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Speaker 2: wanted to bring up to is that that's especially for

368
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Speaker 2: people that get deployed to war and everything, that PTSD

369
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Speaker 2: is a huge known thing and it could just cause

370
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Speaker 2: people to have disturbing memories, thoughts, images of stressful experiences

371
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Speaker 2: that they had, bad dreams.

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Speaker 1: Just.

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Speaker 2: Flashbacks, they'll say, and this has been known to cause

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Speaker 2: extreme agitation in people. They could have delusions and just like,

375
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Speaker 2: I mean, that could be and I'm not even because

376
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Speaker 2: really at autopsy that's not something, especially the one that

377
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Speaker 2: got killed in Minnesota, because they'll do an autopsy on

378
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Speaker 2: that guy too. If for whatever reason at war he

379
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Speaker 2: had some kind of a traumatic brain injury, which is

380
00:19:52,440 --> 00:19:57,800
Speaker 2: completely possible, then you would see you could see signs

381
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Speaker 2: of that at autopsy. Also, if he had a history

382
00:20:01,520 --> 00:20:03,760
Speaker 2: of it, you know, he could have like CTE or

383
00:20:03,760 --> 00:20:07,840
Speaker 2: something like that. That would explain maybe why he decided

384
00:20:08,080 --> 00:20:13,199
Speaker 2: or was increasingly having just these delusions and thoughts like this.

385
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Speaker 2: And the other guy who's still alive, I guess they

386
00:20:16,920 --> 00:20:19,920
Speaker 2: could do more psychological testing to see if he does

387
00:20:19,960 --> 00:20:23,119
Speaker 2: indeed have PTSD and was being treated properly or what

388
00:20:23,320 --> 00:20:27,159
Speaker 2: caused it. But it's just scary to I mean, I mean,

389
00:20:27,200 --> 00:20:29,440
Speaker 2: we talk about this all the time. We actually didn't

390
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Speaker 2: even bring that up in this episode today, but there

391
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Speaker 2: was an update with that shooting at the NFL building

392
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Speaker 2: in Manhattan a couple of months ago that that guy

393
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Speaker 2: did indeed have early signs of ct in his brain.

394
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Speaker 2: I think he wrote that in his letter though, right

395
00:20:44,440 --> 00:20:47,800
Speaker 2: when no, he we already talked about that. But like,

396
00:20:47,960 --> 00:20:51,760
Speaker 2: it's just scary to think about people that are walking

397
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Speaker 2: around that are having this condition in their brain that's

398
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Speaker 2: really not of their own doing, and then it's taking

399
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Speaker 2: over and then doing something terrible like this.

400
00:21:01,200 --> 00:21:03,320
Speaker 1: Well, I think in this case too, it's similar to

401
00:21:03,359 --> 00:21:05,639
Speaker 1: the last guy, where he clearly, based on what the

402
00:21:05,640 --> 00:21:08,959
Speaker 1: wife said, had a history of issues going on, and

403
00:21:09,000 --> 00:21:11,199
Speaker 1: the police were also very aware of him because they

404
00:21:11,240 --> 00:21:13,800
Speaker 1: said that this guy had filed several lawsuits against the

405
00:21:13,840 --> 00:21:15,840
Speaker 1: town and the police department in the past couple of

406
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Speaker 1: years with all these conspiracy theories that were never proven.

407
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Speaker 2: The lawsuits actually sound so crazy that I can't even

408
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Speaker 2: believe a lawyer would try to bring them forth. Please,

409
00:21:26,800 --> 00:21:30,520
Speaker 2: it's there are types of but it doesn't. It literally

410
00:21:30,600 --> 00:21:33,520
Speaker 2: sounds like a person that's out of their mind talking

411
00:21:33,560 --> 00:21:37,879
Speaker 2: about people that they're trying to see somebody for something

412
00:21:37,880 --> 00:21:41,160
Speaker 2: that is an untrue story. Like it's just crazy, Yeah,

413
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Speaker 2: but it happens all the time.

414
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Speaker 1: But to think that you're just on vacation, hanging out

415
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Speaker 1: at a bar on a Saturday night and this happens

416
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Speaker 1: is horrific. And I definitely don't think anybody suspected somebody

417
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Speaker 1: who was going to pull up on a boat and

418
00:21:53,080 --> 00:21:54,440
Speaker 1: execute something like this.

419
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Speaker 2: Yeah, And I mean that's that's a lot of the

420
00:21:57,440 --> 00:22:00,440
Speaker 2: times when things like this happen. You always talk about

421
00:22:00,480 --> 00:22:05,120
Speaker 2: like soft targets. That's exactly right what you said. They

422
00:22:05,160 --> 00:22:07,800
Speaker 2: want to get people when they would least expect it.

423
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Speaker 2: Because I don't know about you, but every single time

424
00:22:12,440 --> 00:22:15,160
Speaker 2: we go in a restaurant now, it's like Gabe wants

425
00:22:15,200 --> 00:22:16,720
Speaker 2: to sit in a certain seat so we could see

426
00:22:16,760 --> 00:22:19,440
Speaker 2: the front door, and like, this is where we're gonna

427
00:22:19,520 --> 00:22:21,760
Speaker 2: leave if there's a problem. Like it's so sad that

428
00:22:21,800 --> 00:22:23,440
Speaker 2: you have to think that way, but that's the way

429
00:22:23,440 --> 00:22:26,440
Speaker 2: it is now. Same at the stadiums and things like that.

430
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Speaker 2: And then it's like you're expecting this to happen. Like

431
00:22:31,040 --> 00:22:33,199
Speaker 2: if you said to someone as a shooter gonna come

432
00:22:33,240 --> 00:22:35,119
Speaker 2: in the restaurant, you would expect them to come in

433
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Speaker 2: the front door. You wouldn't expect them to be coming

434
00:22:37,160 --> 00:22:40,280
Speaker 2: from behind the kitchen, you know. Like it's just and

435
00:22:40,359 --> 00:22:44,680
Speaker 2: it throws people off, and that's how they get more bodies. No, totally,

436
00:22:44,920 --> 00:22:47,840
Speaker 2: and it's it's a shame too at church, like we've

437
00:22:47,880 --> 00:22:52,240
Speaker 2: had at least two church shootings this year, if not more.

438
00:22:52,720 --> 00:22:54,600
Speaker 2: I mean we had two major ones at least within

439
00:22:54,640 --> 00:22:57,760
Speaker 2: the past couple of months. I think it's I think

440
00:22:57,800 --> 00:23:00,800
Speaker 2: that all churches need to be like having some kind

441
00:23:00,840 --> 00:23:04,639
Speaker 2: of a plan of action as to But every single

442
00:23:04,640 --> 00:23:07,119
Speaker 2: time we see one of these things happen, it's like

443
00:23:07,960 --> 00:23:11,840
Speaker 2: something new gets introduced that us regular people are like,

444
00:23:12,000 --> 00:23:15,199
Speaker 2: I never thought that that would happen. Like, Okay, the

445
00:23:15,240 --> 00:23:17,880
Speaker 2: guy comes in and shoots up at church. Okay, that's happened,

446
00:23:18,200 --> 00:23:21,360
Speaker 2: but ohnally sets it on fire. So when there's all

447
00:23:21,400 --> 00:23:23,680
Speaker 2: the chaos is happening, now you have to deal with

448
00:23:24,160 --> 00:23:28,119
Speaker 2: escaping a burning building, which churches are infamously like the

449
00:23:28,160 --> 00:23:31,280
Speaker 2: worst buildings to burn down because they have so much

450
00:23:31,480 --> 00:23:34,000
Speaker 2: room in the roof and a pitched roof like that,

451
00:23:34,440 --> 00:23:37,320
Speaker 2: they're like the worst fires. Gabe always says that. So

452
00:23:39,160 --> 00:23:41,760
Speaker 2: you know, there's always like another thing thrown into the mix.

453
00:23:41,880 --> 00:23:43,920
Speaker 2: This is now, Oh there's a shooting at a restaurant.

454
00:23:43,960 --> 00:23:46,000
Speaker 2: Oh well, this time the guy's coming up on a boat.

455
00:23:46,119 --> 00:23:49,800
Speaker 2: Like right, it's just well, how would you even prevent that?

456
00:23:50,240 --> 00:23:51,960
Speaker 2: You know, It's what I'm saying at most of it,

457
00:23:52,040 --> 00:23:54,760
Speaker 2: But it's just like they like, these people that want

458
00:23:54,800 --> 00:23:57,920
Speaker 2: to that that are intent on hurting people just try

459
00:23:57,960 --> 00:24:00,520
Speaker 2: to throw other things in the mix to throw people off,

460
00:24:00,560 --> 00:24:12,040
Speaker 2: because regular people just don't think that way. This episode

461
00:24:12,080 --> 00:24:15,160
Speaker 2: is brought to you by the Grossroom. Guys. We did

462
00:24:15,240 --> 00:24:18,119
Speaker 2: our high profile death disseection this week on the DC

463
00:24:18,320 --> 00:24:21,600
Speaker 2: sniper shooting, and it's really good. You guys should read it.

464
00:24:22,160 --> 00:24:25,719
Speaker 2: Of course, I was in my early twenties when that happened,

465
00:24:25,720 --> 00:24:28,320
Speaker 2: and I remember living through it and thinking how scary

466
00:24:28,359 --> 00:24:31,480
Speaker 2: it was, but just kind of revisiting it and reading

467
00:24:31,520 --> 00:24:37,160
Speaker 2: all about it and the investigation and how like obvious

468
00:24:37,359 --> 00:24:40,400
Speaker 2: it was that there were you know, well you could

469
00:24:40,440 --> 00:24:44,360
Speaker 2: get into it in the article. It's it's just really crazy,

470
00:24:44,440 --> 00:24:46,560
Speaker 2: like how it all went down and what people were

471
00:24:46,600 --> 00:24:48,879
Speaker 2: going through, and especially for those of you that are

472
00:24:48,920 --> 00:24:51,880
Speaker 2: a little bit younger and unfamiliar with what happened, it's

473
00:24:51,960 --> 00:24:57,639
Speaker 2: really interesting. We also have a really interesting case of

474
00:24:57,680 --> 00:24:59,800
Speaker 2: a guy who killed this ex worker, which is like

475
00:25:00,000 --> 00:25:02,720
Speaker 2: whatever that happens all the time, but this guy did

476
00:25:02,760 --> 00:25:07,280
Speaker 2: some crazy shit afterwards, and so you definitely should check

477
00:25:07,320 --> 00:25:10,240
Speaker 2: that post out too. For five ninety nine a month

478
00:25:10,280 --> 00:25:11,520
Speaker 2: for the Grossroom.

479
00:25:11,400 --> 00:25:13,720
Speaker 1: Head over to the Grossroom Dot com now to sign up.

480
00:25:15,600 --> 00:25:22,440
Speaker 2: All right, this story pissed me off cosmetic surgery and teenagers.

481
00:25:23,240 --> 00:25:25,960
Speaker 1: Well, I guess I'll start from the beginning, just so

482
00:25:26,200 --> 00:25:29,480
Speaker 1: everybody could really understand. I mean, the story in general

483
00:25:29,560 --> 00:25:31,639
Speaker 1: is really messed up, but when you learn about what

484
00:25:31,760 --> 00:25:34,960
Speaker 1: happened from start to finish, it's completely unforgivable.

485
00:25:35,520 --> 00:25:36,560
Speaker 2: This happened in Mexico.

486
00:25:36,720 --> 00:25:38,959
Speaker 1: So this dad gets a call from his fourteen year

487
00:25:39,000 --> 00:25:41,639
Speaker 1: old daughter's mother saying they tested positive for COVID and

488
00:25:41,640 --> 00:25:44,439
Speaker 1: we're going to quarantine in a cabin with no cell service.

489
00:25:44,520 --> 00:25:47,240
Speaker 2: So he was worried. We didn't think too much of it.

490
00:25:47,920 --> 00:25:50,520
Speaker 1: A week later, the fourteen year old ends up dying,

491
00:25:50,600 --> 00:25:53,159
Speaker 1: and the dad doesn't find out until her funeral that

492
00:25:53,280 --> 00:25:55,960
Speaker 1: she didn't die from COVID, but died from a botched

493
00:25:56,040 --> 00:25:59,919
Speaker 1: cosmetic surgery where she got a breast augmentation from the

494
00:26:00,119 --> 00:26:01,119
Speaker 1: mother's new boyfriend.

495
00:26:02,119 --> 00:26:05,440
Speaker 2: This is the thing, because plastic surgeons don't always have

496
00:26:06,400 --> 00:26:09,840
Speaker 2: set rules for Okay, you're this age and you can't

497
00:26:09,840 --> 00:26:12,920
Speaker 2: get this because a lot of times there's a crossover

498
00:26:13,040 --> 00:26:18,000
Speaker 2: with plastic surgery that it's sometimes like, let's say, for example,

499
00:26:18,119 --> 00:26:20,440
Speaker 2: if a child has to get part of their ear

500
00:26:20,520 --> 00:26:23,159
Speaker 2: caught off for cancer or something like that, or just

501
00:26:23,680 --> 00:26:27,480
Speaker 2: like a reconstructive surgery would be considered a plastic surgery,

502
00:26:27,920 --> 00:26:32,720
Speaker 2: and they do that sometimes for children and just other

503
00:26:32,800 --> 00:26:35,520
Speaker 2: things like let's say a kid, a girl goes through

504
00:26:35,520 --> 00:26:38,119
Speaker 2: puberty early and gets really big breast and wants to

505
00:26:38,119 --> 00:26:41,880
Speaker 2: get a breast reduction, Like oftentimes they'll do that way

506
00:26:41,920 --> 00:26:45,639
Speaker 2: before eighteen years old, just because it's physically causing problems

507
00:26:45,640 --> 00:26:48,119
Speaker 2: to her skeleton, right the weight the excess weight of

508
00:26:48,119 --> 00:26:52,000
Speaker 2: the breast tissue. So there's there's not like a hardcore

509
00:26:52,160 --> 00:26:55,000
Speaker 2: line of like we don't do these surgeries under this

510
00:26:55,119 --> 00:26:59,200
Speaker 2: age or whatever. But typically when they do a plastic

511
00:26:59,240 --> 00:27:01,880
Speaker 2: surgery on a child, you have to have the consent

512
00:27:02,000 --> 00:27:04,040
Speaker 2: from both of the parents, and I guess in this

513
00:27:04,240 --> 00:27:06,919
Speaker 2: case they only got the concept from the mother, but

514
00:27:07,080 --> 00:27:09,159
Speaker 2: I'm sure there was a lot of things skipped because

515
00:27:09,160 --> 00:27:10,119
Speaker 2: it was her boyfriend.

516
00:27:11,040 --> 00:27:13,399
Speaker 1: Well you know what, too is the most messed up

517
00:27:13,440 --> 00:27:18,040
Speaker 1: part of this is at her funeral, a couple people

518
00:27:18,119 --> 00:27:21,360
Speaker 1: had made comments to the dead that her boobs looked

519
00:27:21,400 --> 00:27:24,720
Speaker 1: so much larger, and he asked the mom and she

520
00:27:25,160 --> 00:27:27,800
Speaker 1: totally blew him off and denied it. So then he

521
00:27:27,880 --> 00:27:30,320
Speaker 1: was able to convince the mother to leave the room

522
00:27:30,359 --> 00:27:33,480
Speaker 1: so he could grieve in private with his other family members.

523
00:27:33,880 --> 00:27:35,760
Speaker 1: And when they got the mother out of the room,

524
00:27:36,080 --> 00:27:39,320
Speaker 1: his mother, sister and sister in law looked under her

525
00:27:39,359 --> 00:27:43,080
Speaker 1: shirt and saw the scars. They took pictures of the

526
00:27:43,119 --> 00:27:46,800
Speaker 1: scars and the breast implants. And she's fourteen years old,

527
00:27:46,880 --> 00:27:52,280
Speaker 1: which is just so ridiculous. It's so ridiculous that a mom.

528
00:27:53,080 --> 00:27:55,000
Speaker 1: This is another thing too, And I read on other

529
00:27:55,160 --> 00:28:00,320
Speaker 1: articles that she was also having a butt lift. Okay, so,

530
00:28:00,320 --> 00:28:03,320
Speaker 1: so which would be like I would assume would be

531
00:28:03,359 --> 00:28:09,119
Speaker 1: like a BBL procedure, right, which is known to be

532
00:28:09,320 --> 00:28:14,439
Speaker 1: the most deadly cosmetic surgery procedure. It just it's the

533
00:28:14,720 --> 00:28:17,400
Speaker 1: when you think about people dying during plastic surgery, it's

534
00:28:17,440 --> 00:28:22,159
Speaker 1: because of bbl's right. So, which is likely because I

535
00:28:22,240 --> 00:28:25,760
Speaker 1: actually thought that it was unusual that she died having

536
00:28:25,800 --> 00:28:29,840
Speaker 1: her boobs done because breast surgery is done so frequently,

537
00:28:29,960 --> 00:28:30,520
Speaker 1: and it's.

538
00:28:30,359 --> 00:28:34,920
Speaker 2: Not not that it can't happen. It would most likely

539
00:28:34,960 --> 00:28:37,840
Speaker 2: be because of an anesthesia issue. But just like it's

540
00:28:37,920 --> 00:28:40,480
Speaker 2: just highly unlikely for a person to die during a

541
00:28:40,480 --> 00:28:44,520
Speaker 2: breast implant surgery because it's very superficial like you just

542
00:28:45,440 --> 00:28:48,400
Speaker 2: it's not invasive. You're on top of the chest cavity,

543
00:28:48,680 --> 00:28:53,480
Speaker 2: whereas like a BBL is using a liposuction tool in

544
00:28:53,600 --> 00:28:57,880
Speaker 2: very dangerous areas which could cause a fat embolism or

545
00:28:57,920 --> 00:29:01,400
Speaker 2: pulmonary embolism in somebody. It's just so such a riskier procedure.

546
00:29:01,840 --> 00:29:04,160
Speaker 1: But if it was being done illegally, did they have

547
00:29:04,280 --> 00:29:06,360
Speaker 1: all the safety in place?

548
00:29:06,440 --> 00:29:11,000
Speaker 2: Well, I mean that's completely also a possibility. But the guy,

549
00:29:11,480 --> 00:29:13,920
Speaker 2: the guy was a doctor, so but who knows?

550
00:29:14,160 --> 00:29:16,440
Speaker 1: Yeah, but was he doing it under the radar because

551
00:29:16,440 --> 00:29:18,080
Speaker 1: they didn't have the proper consent as well?

552
00:29:18,120 --> 00:29:20,520
Speaker 2: I'm asking who knows what was happening there?

553
00:29:20,760 --> 00:29:24,000
Speaker 1: Like, so, it says she went into cardio respiratory arrest

554
00:29:24,080 --> 00:29:27,080
Speaker 1: and had severe brain swelling that led doctors to induce

555
00:29:27,120 --> 00:29:29,720
Speaker 1: a coma and put her on a ventilator. And then

556
00:29:29,800 --> 00:29:32,880
Speaker 1: after she was on the ventilator, that is when the

557
00:29:32,960 --> 00:29:35,720
Speaker 1: mom alerted the dad that she was about to die.

558
00:29:36,160 --> 00:29:38,720
Speaker 1: And then I was like, oh, it's she's having bad COVID.

559
00:29:39,360 --> 00:29:41,959
Speaker 1: I was interested in this too because the death certificate

560
00:29:42,040 --> 00:29:46,720
Speaker 1: indicated that her cause of death was cerebral edema resulting

561
00:29:46,760 --> 00:29:51,440
Speaker 1: from a respiratory illness, So was that just negligence on

562
00:29:51,480 --> 00:29:53,800
Speaker 1: behalf of the hospital or what because she didn't end

563
00:29:53,840 --> 00:29:54,880
Speaker 1: up getting an autopsy.

564
00:29:55,040 --> 00:29:57,800
Speaker 2: Well she was, she was while she was alive for

565
00:29:57,840 --> 00:30:01,880
Speaker 2: seven days before she died, so I don't know exactly

566
00:30:01,880 --> 00:30:04,480
Speaker 2: what happened, like what the event was that put her

567
00:30:04,680 --> 00:30:07,960
Speaker 2: in the hospital on a ventilator. She probably had a pulmentent.

568
00:30:08,040 --> 00:30:09,680
Speaker 2: Like I said, she could have had a fat embolism

569
00:30:09,760 --> 00:30:13,280
Speaker 2: or a pulmonary embolism, and then she was on the machine,

570
00:30:13,320 --> 00:30:18,440
Speaker 2: so she could have gotten a respiratory infection due to

571
00:30:19,680 --> 00:30:22,360
Speaker 2: being on the ventilator. But it's more than likely just

572
00:30:22,480 --> 00:30:27,640
Speaker 2: damage that was done from the initial surgery that you know,

573
00:30:27,720 --> 00:30:31,160
Speaker 2: she was having complications from that that damaged her lungs

574
00:30:31,480 --> 00:30:36,920
Speaker 2: and she didn't have an autopsy. But the father wants

575
00:30:36,960 --> 00:30:39,800
Speaker 2: her to have an autopsy well now after he knows

576
00:30:39,800 --> 00:30:43,280
Speaker 2: that she had the test implants. So I mean, at

577
00:30:43,280 --> 00:30:46,280
Speaker 2: this point they're going to be they can do an autopsy,

578
00:30:46,320 --> 00:30:49,160
Speaker 2: but now she's in bombs so there's likely going to

579
00:30:49,200 --> 00:30:54,280
Speaker 2: be some artifact because of that. But really at this point,

580
00:30:54,520 --> 00:30:58,000
Speaker 2: I don't really I don't really know if it's necessary

581
00:30:58,080 --> 00:31:01,800
Speaker 2: because like she didn't she died as a result of

582
00:31:03,560 --> 00:31:07,920
Speaker 2: having complications from the plastic surgery. So if he like,

583
00:31:07,960 --> 00:31:10,320
Speaker 2: they're not really going to be able to figure out

584
00:31:10,400 --> 00:31:13,120
Speaker 2: exactly maybe the pivotal thing that happened because they have

585
00:31:13,280 --> 00:31:16,840
Speaker 2: so much documentation from the hospital over the past seven days.

586
00:31:17,640 --> 00:31:21,920
Speaker 2: But if he's planning on I guess bringing charges and

587
00:31:22,000 --> 00:31:25,400
Speaker 2: having her the mother, get in trouble, because the mother

588
00:31:25,440 --> 00:31:29,160
Speaker 2: should get in trouble technically, but I don't know if

589
00:31:29,160 --> 00:31:32,280
Speaker 2: the mom would actually get in trouble or I mean,

590
00:31:32,320 --> 00:31:35,160
Speaker 2: the doctor would definitely get in trouble because they are

591
00:31:35,200 --> 00:31:38,280
Speaker 2: supposed to have signed consent from both parents apparently in

592
00:31:38,360 --> 00:31:43,840
Speaker 2: this case, so her doing it is like one thing,

593
00:31:43,880 --> 00:31:46,520
Speaker 2: but like they're supposed to be a person that stops

594
00:31:46,520 --> 00:31:47,880
Speaker 2: that from happening. That didn't.

595
00:31:48,240 --> 00:31:50,400
Speaker 1: But I guess what I'm just not understanding is like

596
00:31:51,360 --> 00:31:55,400
Speaker 1: I understand they're saying she died from the respiratory illness, right,

597
00:31:55,440 --> 00:31:57,960
Speaker 1: but like when she when she got to that point,

598
00:31:58,000 --> 00:32:00,800
Speaker 1: they weren't like, how did she get here? The mother

599
00:32:00,960 --> 00:32:03,040
Speaker 1: just said, oh, she had COVID and she's not breathing,

600
00:32:03,040 --> 00:32:06,920
Speaker 1: and they just accepted that. Who the hospital, Yeah, no,

601
00:32:07,320 --> 00:32:10,200
Speaker 1: the hospital would have known. Yeah, But they're saying on

602
00:32:10,360 --> 00:32:12,080
Speaker 1: the death certificate they filed.

603
00:32:12,280 --> 00:32:18,840
Speaker 2: It had nothing mentioning. Well, the death certificate isn't filled

604
00:32:18,840 --> 00:32:22,200
Speaker 2: out properly. It should say It could say that because

605
00:32:22,240 --> 00:32:24,600
Speaker 2: that's actually her cause of death. But then it could

606
00:32:24,640 --> 00:32:28,520
Speaker 2: say as a result of complications due to cosmetic surgery,

607
00:32:28,920 --> 00:32:33,920
Speaker 2: which is the autopsy would be. Listen, this is all

608
00:32:33,920 --> 00:32:35,680
Speaker 2: in Mexico, so I don't know how they do shit

609
00:32:35,720 --> 00:32:38,760
Speaker 2: there anyway. Right like this, I'm talking like if this

610
00:32:38,880 --> 00:32:42,600
Speaker 2: was done in America, and I don't know this. This

611
00:32:42,640 --> 00:32:46,400
Speaker 2: is something that you know, if this was in a

612
00:32:46,520 --> 00:32:49,840
Speaker 2: US hospital and this happened, that would be documented as

613
00:32:49,920 --> 00:32:52,120
Speaker 2: part of her treatment and it should be on the

614
00:32:52,160 --> 00:32:54,000
Speaker 2: death certificate. But we talk about all the time the

615
00:32:54,040 --> 00:32:58,600
Speaker 2: death certificates are never filled out properly. So and that technically,

616
00:32:59,120 --> 00:33:01,840
Speaker 2: like in America, that happened, that would be considered an

617
00:33:01,880 --> 00:33:04,440
Speaker 2: accidental death, and that's a reportable death, and that would

618
00:33:04,440 --> 00:33:07,440
Speaker 2: be a medical examiner's case. Now, the hospital might let

619
00:33:07,600 --> 00:33:11,480
Speaker 2: the or the medical examiner might let the hospital do

620
00:33:11,640 --> 00:33:14,560
Speaker 2: the autopsy, but the medical examiner is going to have

621
00:33:14,640 --> 00:33:17,920
Speaker 2: involvement because it would be considered an accidental death. I

622
00:33:17,960 --> 00:33:22,400
Speaker 2: don't know how they do things in Mexico. But okay, So,

623
00:33:22,640 --> 00:33:26,240
Speaker 2: which is part of the problem because right then and there,

624
00:33:27,120 --> 00:33:29,920
Speaker 2: like she that wouldn't even have went down like that

625
00:33:30,080 --> 00:33:34,080
Speaker 2: here kind of you know. Yeah, all right, this man

626
00:33:34,120 --> 00:33:36,000
Speaker 2: went on the news for a sit down interview and

627
00:33:36,120 --> 00:33:39,080
Speaker 2: admitted on TV to killing his parents and burying them

628
00:33:39,080 --> 00:33:44,200
Speaker 2: in the backyard. Yeah, I guess they the people were

629
00:33:44,200 --> 00:33:47,440
Speaker 2: onto him at first that he was doing something because

630
00:33:47,440 --> 00:33:49,640
Speaker 2: apparently the parents have been dead for a while and

631
00:33:49,680 --> 00:33:51,440
Speaker 2: he was collecting their benefits.

632
00:33:52,160 --> 00:33:55,959
Speaker 1: Well, it first started last Wednesday as an investigation because

633
00:33:56,000 --> 00:33:59,600
Speaker 1: there the police or investigators became aware that these social

634
00:33:59,600 --> 00:34:02,920
Speaker 1: Security checks we're getting cash. But the parents hadn't been

635
00:34:03,040 --> 00:34:06,000
Speaker 1: seen in a very long time, and according to neighbors,

636
00:34:06,000 --> 00:34:10,120
Speaker 1: they thought they had moved to Germany or something totally random.

637
00:34:10,160 --> 00:34:12,239
Speaker 1: So they go to the house and they end up

638
00:34:12,280 --> 00:34:14,640
Speaker 1: finding their bodies in the backyard. And then the very

639
00:34:14,719 --> 00:34:18,840
Speaker 1: next day their son calls CBS, like the local Albany

640
00:34:18,960 --> 00:34:23,320
Speaker 1: CBS and with this statement and go and they convince

641
00:34:23,400 --> 00:34:25,080
Speaker 1: him to come in for this interview.

642
00:34:25,960 --> 00:34:28,759
Speaker 2: And while he goes in like within an hour, and

643
00:34:28,800 --> 00:34:33,000
Speaker 2: nobody was prepared to like, nobody was prepared. Did you

644
00:34:33,040 --> 00:34:35,640
Speaker 2: watch the interview? I didn't even watch it because I

645
00:34:35,719 --> 00:34:37,759
Speaker 2: was I was just trying to read it. You know,

646
00:34:37,800 --> 00:34:40,000
Speaker 2: I wanted to read the whole article just to hear

647
00:34:40,120 --> 00:34:43,839
Speaker 2: the backstory because I was thinking, like, this guy kind

648
00:34:43,840 --> 00:34:48,960
Speaker 2: of got like the interview of a lifetime to I mean, like,

649
00:34:49,040 --> 00:34:52,480
Speaker 2: how often do people really admit certain huge things like

650
00:34:52,520 --> 00:34:53,600
Speaker 2: that on air like that?

651
00:34:54,320 --> 00:34:57,520
Speaker 1: Well, yeah, so I guess over the phone, they asked

652
00:34:57,520 --> 00:34:59,799
Speaker 1: if he had involvement in the death, and he said,

653
00:34:59,800 --> 00:35:01,680
Speaker 1: I plead the fifth and that that's when they were

654
00:35:01,719 --> 00:35:03,759
Speaker 1: able to convince him to come in within an hour.

655
00:35:03,920 --> 00:35:07,160
Speaker 1: So yeah, like you're saying, they were absolutely not prepared

656
00:35:07,160 --> 00:35:09,600
Speaker 1: for what was about to happen. So this journalist sits

657
00:35:09,640 --> 00:35:11,879
Speaker 1: down with him and is asking him questions and he's

658
00:35:11,920 --> 00:35:15,040
Speaker 1: just saying, well, I sent you a statement, and he's saying, well,

659
00:35:15,680 --> 00:35:18,000
Speaker 1: you know, you basically said it in the statement, so

660
00:35:18,120 --> 00:35:21,360
Speaker 1: just say it now. And after eight minutes, the journalist

661
00:35:21,400 --> 00:35:23,960
Speaker 1: is finally just like, how'd you do it? Did you

662
00:35:24,600 --> 00:35:26,560
Speaker 1: do so and so? Did you suffocate And when he

663
00:35:26,560 --> 00:35:28,600
Speaker 1: said did you suffocate them, he shook his head and

664
00:35:28,719 --> 00:35:32,400
Speaker 1: was like, yeah, oh my god, it was nuts. So

665
00:35:32,840 --> 00:35:35,560
Speaker 1: this this reminded me of when Laura Engle was on

666
00:35:35,600 --> 00:35:38,239
Speaker 1: and she was saying she interviewed that killer. Oh, how

667
00:35:38,360 --> 00:35:40,759
Speaker 1: terrifying what you must be sitting in your seat as

668
00:35:40,800 --> 00:35:44,719
Speaker 1: a journalist, like, holy shit, this person is but like

669
00:35:44,800 --> 00:35:47,520
Speaker 1: what's going on in the background, or people are like, yeah,

670
00:35:47,560 --> 00:35:50,319
Speaker 1: I guess we should probably call the police right now.

671
00:35:50,440 --> 00:35:53,279
Speaker 2: And because he got arrested right after the interviews, so

672
00:35:53,360 --> 00:35:54,959
Speaker 2: that's so some did.

673
00:35:55,360 --> 00:35:58,080
Speaker 1: Yeah, I'm assuming somebody in the well. I think they

674
00:35:58,160 --> 00:36:00,520
Speaker 1: said that when he got there they had to undercover

675
00:36:00,600 --> 00:36:04,160
Speaker 1: cup and regular clothes in the lobby, but they were

676
00:36:04,200 --> 00:36:08,440
Speaker 1: fully prepared for what happened, and when he was leaving

677
00:36:08,440 --> 00:36:10,880
Speaker 1: the studio he ended up getting arrested in the CBS

678
00:36:10,960 --> 00:36:11,880
Speaker 1: parking lot.

679
00:36:12,360 --> 00:36:15,680
Speaker 2: Amazing, but it's kind of unbelievable.

680
00:36:15,760 --> 00:36:17,760
Speaker 1: But he was saying that it was a mercy killing

681
00:36:17,800 --> 00:36:19,320
Speaker 1: because they were getting old and frail.

682
00:36:19,520 --> 00:36:22,439
Speaker 2: I don't think that was Listen, Like, there's a part

683
00:36:22,520 --> 00:36:26,080
Speaker 2: of me that understands that to a certain extent, because

684
00:36:26,320 --> 00:36:30,800
Speaker 2: sometimes when you see old people that have like Alzheimer's

685
00:36:30,840 --> 00:36:32,799
Speaker 2: and they're completely out of their mind and they're just

686
00:36:32,840 --> 00:36:35,319
Speaker 2: like doing these awful things to themselves and they're just

687
00:36:35,440 --> 00:36:39,759
Speaker 2: they seem like they're really suffering, but especially with Alzheimer's,

688
00:36:39,800 --> 00:36:44,759
Speaker 2: like sometimes their bodies are completely intact right, and they're

689
00:36:44,800 --> 00:36:47,040
Speaker 2: going to live a long time, but their their brain

690
00:36:47,160 --> 00:36:49,239
Speaker 2: is that I always tell Gabe, like, yo, if I

691
00:36:49,280 --> 00:36:51,920
Speaker 2: ever get like that, like police take me out, like

692
00:36:51,960 --> 00:36:54,640
Speaker 2: I just don't. And he's like, yeah, Nicole, I'm just

693
00:36:54,680 --> 00:36:58,040
Speaker 2: gonna shoot you or whatever like U. But but seriously,

694
00:36:58,080 --> 00:37:00,200
Speaker 2: like I don't want to live like that, right. But

695
00:37:00,480 --> 00:37:04,960
Speaker 2: the thing is with this particular case, his parents didn't

696
00:37:04,960 --> 00:37:07,319
Speaker 2: seem like they had any kind of a terminal thing

697
00:37:07,440 --> 00:37:11,120
Speaker 2: like whatsoever. They weren't suffering with like cancer or it

698
00:37:11,160 --> 00:37:14,320
Speaker 2: was like the mom fell and ber hip and broker

699
00:37:14,400 --> 00:37:17,880
Speaker 2: hip and the dad had to have surgery for cataracts

700
00:37:17,920 --> 00:37:21,200
Speaker 2: and wasn't able to drive anymore. Like they seemed like

701
00:37:21,280 --> 00:37:23,960
Speaker 2: they were perfectly healthy people, Like yeah, they were going

702
00:37:24,000 --> 00:37:27,879
Speaker 2: a little downhill and everything, but like, I don't know.

703
00:37:28,120 --> 00:37:31,080
Speaker 2: It's if they went to do like a physician, is

704
00:37:31,120 --> 00:37:33,040
Speaker 2: this in suicide, they probably would have been like, you

705
00:37:33,080 --> 00:37:36,080
Speaker 2: don't really qualify for like a terminal illness because you

706
00:37:36,080 --> 00:37:37,120
Speaker 2: can't drive anymore.

707
00:37:37,480 --> 00:37:40,640
Speaker 1: So my questions is that this happened eight years ago

708
00:37:40,719 --> 00:37:44,480
Speaker 1: when he killed them. So does social Security not have

709
00:37:44,560 --> 00:37:46,640
Speaker 1: any responsibility to make sure.

710
00:37:46,480 --> 00:37:50,640
Speaker 2: Now this people happened all the time. It really does that's.

711
00:37:50,560 --> 00:37:53,760
Speaker 1: So ridiculous when it's either like you need to require

712
00:37:53,800 --> 00:37:56,560
Speaker 1: an in person visit after like every not every year,

713
00:37:56,600 --> 00:38:00,399
Speaker 1: but like every two three years, you know, something more

714
00:38:00,440 --> 00:38:01,080
Speaker 1: than eight years.

715
00:38:01,120 --> 00:38:01,560
Speaker 2: I don't know.

716
00:38:02,040 --> 00:38:04,439
Speaker 1: We talk about these cases all the time. I feel

717
00:38:04,640 --> 00:38:05,719
Speaker 1: like this is a really long time.

718
00:38:05,840 --> 00:38:08,279
Speaker 2: I feel like they're and like, I'm not one hundred

719
00:38:08,320 --> 00:38:09,799
Speaker 2: percent sure about this. So I don't want to speak

720
00:38:09,800 --> 00:38:11,319
Speaker 2: of this because I don't work at a funeral home.

721
00:38:11,360 --> 00:38:15,919
Speaker 2: But since all deaths go through a funeral home, whether

722
00:38:15,960 --> 00:38:19,760
Speaker 2: it's cremation or burial, for the most part, most mostly

723
00:38:19,800 --> 00:38:23,600
Speaker 2: all of them do, with the exception of like getting

724
00:38:23,640 --> 00:38:28,560
Speaker 2: donated to science or whatever. At some point they all

725
00:38:28,600 --> 00:38:31,359
Speaker 2: these people get a death certificate at least, right, there

726
00:38:31,360 --> 00:38:36,040
Speaker 2: should be a way that the death certificate like automatically

727
00:38:36,120 --> 00:38:41,800
Speaker 2: goes to the state and tells them that that person's dead,

728
00:38:42,400 --> 00:38:44,799
Speaker 2: because I feel like that would just douse a lot

729
00:38:44,840 --> 00:38:45,040
Speaker 2: of this.

730
00:38:45,640 --> 00:38:47,800
Speaker 1: But I think a lot of these cases that people

731
00:38:47,800 --> 00:38:49,840
Speaker 1: aren't going through funeral homes.

732
00:38:50,239 --> 00:38:56,080
Speaker 2: Yeah, and I understand because in theory they don't. The

733
00:38:56,120 --> 00:38:57,719
Speaker 2: funeral home doesn't know that they died.

734
00:38:57,840 --> 00:39:00,680
Speaker 1: So even think about it, like when we were getting

735
00:39:00,719 --> 00:39:05,279
Speaker 1: those stimulus checks, A couple of years ago. Ricky's stepmom's

736
00:39:05,360 --> 00:39:09,239
Speaker 1: mother died in I think twenty eighteen, and she got

737
00:39:09,280 --> 00:39:11,680
Speaker 1: a stimulus check for her and sent it back and

738
00:39:11,800 --> 00:39:14,880
Speaker 1: was like, my mom died years ago, Why am I

739
00:39:14,920 --> 00:39:15,719
Speaker 1: getting this for her?

740
00:39:15,880 --> 00:39:17,719
Speaker 2: Yeah? And you hear that too that you hear like

741
00:39:17,760 --> 00:39:20,479
Speaker 2: people are getting ballots and stuff for people who are

742
00:39:20,719 --> 00:39:24,760
Speaker 2: who have died. It's just there has to be a way.

743
00:39:26,719 --> 00:39:29,400
Speaker 2: I don't really know how they would do that. And God,

744
00:39:29,480 --> 00:39:31,799
Speaker 2: there's probably so much fraud that they don't even ever

745
00:39:31,920 --> 00:39:35,839
Speaker 2: catch because if there's no way to tell that someone died,

746
00:39:35,960 --> 00:39:40,000
Speaker 2: how if you're not burying them or doing a traditional thing, like,

747
00:39:40,040 --> 00:39:41,600
Speaker 2: how would anybody ever really know?

748
00:39:42,160 --> 00:39:44,120
Speaker 1: Well, remember a couple of weeks ago, I told you

749
00:39:44,160 --> 00:39:46,239
Speaker 1: my mailman knocked on the door and said, I have

750
00:39:46,400 --> 00:39:49,680
Speaker 1: this certified. It looked like a check for the woman

751
00:39:49,800 --> 00:39:52,400
Speaker 1: that used to live in my house, but she died

752
00:39:53,320 --> 00:39:56,160
Speaker 1: I believe ten years ago, And I was like, she's dead.

753
00:39:56,239 --> 00:39:59,760
Speaker 2: I don't I wouldn't put that back past the people

754
00:39:59,800 --> 00:40:03,160
Speaker 2: that lived in your house previously. Well that's what I probably, like,

755
00:40:03,200 --> 00:40:05,400
Speaker 2: go into your house when you're not home and picking

756
00:40:05,480 --> 00:40:06,440
Speaker 2: up mail and stuff.

757
00:40:06,800 --> 00:40:08,600
Speaker 1: Well, I told him, I'm like, because he was like,

758
00:40:08,640 --> 00:40:11,880
Speaker 1: do you think it's just something for the kids, And

759
00:40:11,960 --> 00:40:14,040
Speaker 1: I said, I don't know, because I've lived here for

760
00:40:14,600 --> 00:40:17,399
Speaker 1: almost five years and I've never gotten anything like this

761
00:40:17,480 --> 00:40:20,879
Speaker 1: for her. And I believe she died five years before

762
00:40:20,920 --> 00:40:23,239
Speaker 1: we moved in the house, So I don't know what

763
00:40:23,320 --> 00:40:23,880
Speaker 1: that was about.

764
00:40:23,920 --> 00:40:27,480
Speaker 2: But I do think a lot of people are doing it. Yeah,

765
00:40:27,520 --> 00:40:30,839
Speaker 2: I just wouldn't. I mean, I feel like eventually you

766
00:40:30,880 --> 00:40:32,799
Speaker 2: get caught, and it's just like, why would you even

767
00:40:32,880 --> 00:40:35,239
Speaker 2: want to risk havin to pay back money like that?

768
00:40:35,840 --> 00:40:37,880
Speaker 1: It's so stupid, You're gonna get caught.

769
00:40:38,080 --> 00:40:41,160
Speaker 2: I always think that way too when people do tax

770
00:40:41,200 --> 00:40:45,800
Speaker 2: fraud and stuff, because you can get not caught doing

771
00:40:45,840 --> 00:40:48,640
Speaker 2: things or whatever. But when you're talking about the government

772
00:40:48,760 --> 00:40:51,839
Speaker 2: getting money or giving money to someone, it's like they

773
00:40:51,880 --> 00:40:55,279
Speaker 2: have the biggest things invested in making sure that that

774
00:40:55,440 --> 00:40:59,160
Speaker 2: does not happen, Oh for sure, and they will use

775
00:40:59,239 --> 00:41:01,520
Speaker 2: all of the recent sources and figure it out, even

776
00:41:01,560 --> 00:41:03,640
Speaker 2: if it's in ten years from now. And why would

777
00:41:03,680 --> 00:41:07,759
Speaker 2: you ever want to have to owe back money like that,

778
00:41:08,120 --> 00:41:11,839
Speaker 2: because especially like this guy. I mean, this guy's got

779
00:41:11,840 --> 00:41:14,840
Speaker 2: bigger problems, I guess because he actually killed them, But

780
00:41:15,400 --> 00:41:18,200
Speaker 2: just doing the Social Security fraud in general is just

781
00:41:18,920 --> 00:41:20,319
Speaker 2: I just don't understand it.

782
00:41:20,760 --> 00:41:22,719
Speaker 1: And then you go on television and admit it.

783
00:41:23,000 --> 00:41:25,480
Speaker 2: Yeah, well, clearly the guy's off. Okay, do you.

784
00:41:25,440 --> 00:41:27,839
Speaker 1: Think he looked a little bit like Ben Franklin because

785
00:41:27,880 --> 00:41:28,680
Speaker 1: I don't know why.

786
00:41:29,080 --> 00:41:34,880
Speaker 2: Something in his face historical and there's more to this

787
00:41:34,960 --> 00:41:40,120
Speaker 2: story than just this. He's really a ghost, actually, I

788
00:41:40,120 --> 00:41:43,080
Speaker 2: mean I wouldn't be surprised. All right, let's talk about

789
00:41:43,120 --> 00:41:47,520
Speaker 2: this new evidence showing the dangers of doom scrolling. All right,

790
00:41:47,560 --> 00:41:51,239
Speaker 2: So this is this is a super interesting article that

791
00:41:52,000 --> 00:41:56,000
Speaker 2: really goes through a person that was teaching psychology in

792
00:41:56,040 --> 00:42:00,880
Speaker 2: a university and just how she started noticing that this

793
00:42:01,120 --> 00:42:04,400
Speaker 2: was becoming a thing. I guess she said that it

794
00:42:04,400 --> 00:42:08,960
Speaker 2: would start with Columbine and just people's exposure to these

795
00:42:09,040 --> 00:42:13,040
Speaker 2: really horrible things that are happening. And of course Columbine

796
00:42:13,160 --> 00:42:16,680
Speaker 2: was pre Internet or right right when?

797
00:42:16,680 --> 00:42:20,560
Speaker 1: Well, and I really expected but it was pre social media, Yeah,

798
00:42:20,600 --> 00:42:21,080
Speaker 1: but it was.

799
00:42:21,480 --> 00:42:27,920
Speaker 2: It was pre Google. I feel like, yeah, but what

800
00:42:28,000 --> 00:42:31,480
Speaker 2: year was it. I'm just trying to find nine, nineteen

801
00:42:31,560 --> 00:42:36,880
Speaker 2: ninety nine, so I don't know that. I don't know

802
00:42:36,920 --> 00:42:39,759
Speaker 2: that I even had used Google yet by that time

803
00:42:39,960 --> 00:42:42,200
Speaker 2: I was in college and things like that. But I

804
00:42:42,239 --> 00:42:44,200
Speaker 2: mean at that time, like I was still having to

805
00:42:44,239 --> 00:42:46,480
Speaker 2: go to college and sign up on a piece of paper.

806
00:42:47,760 --> 00:42:50,640
Speaker 2: I mean, it was new. The internet was not definitely

807
00:42:51,040 --> 00:42:54,719
Speaker 2: not what it is today, no apps on smartphones and

808
00:42:54,800 --> 00:42:57,880
Speaker 2: anything like that. But they said that that was really

809
00:42:58,760 --> 00:43:01,680
Speaker 2: that really started it. And then of course the September

810
00:43:01,719 --> 00:43:07,319
Speaker 2: eleventh attacks, again there wasn't a ton of internet, at

811
00:43:07,400 --> 00:43:11,520
Speaker 2: least what we know of it today, and but that's

812
00:43:11,560 --> 00:43:14,319
Speaker 2: when the whole twenty four news twenty four hour news

813
00:43:14,400 --> 00:43:18,919
Speaker 2: cycle started and just repeatedly seeing these things. And then

814
00:43:18,960 --> 00:43:21,720
Speaker 2: she goes on to say that one of the biggest

815
00:43:21,800 --> 00:43:24,360
Speaker 2: changing things, which I never really thought about before, was

816
00:43:24,360 --> 00:43:27,160
Speaker 2: the Boston marathon bombings, and then how you were actually

817
00:43:27,200 --> 00:43:30,960
Speaker 2: seeing like blown off body parts and stuff just really

818
00:43:31,000 --> 00:43:33,960
Speaker 2: grewsome things that we don't really ever had not seen

819
00:43:34,080 --> 00:43:38,360
Speaker 2: like that in mass like that, right. I mean, people

820
00:43:38,400 --> 00:43:43,800
Speaker 2: obviously in Barbara Butcher's profession or my profession see stuff

821
00:43:43,840 --> 00:43:46,719
Speaker 2: like that, but that's not just common for regular everyday

822
00:43:46,719 --> 00:43:51,480
Speaker 2: people to see. So in this article, she's saying that

823
00:43:51,480 --> 00:43:55,480
Speaker 2: that you get into these cycles of this body stress response,

824
00:43:55,960 --> 00:43:58,520
Speaker 2: which when you when you see it in real life

825
00:43:58,640 --> 00:44:00,359
Speaker 2: or if you see it on the screen, get this

826
00:44:00,400 --> 00:44:04,520
Speaker 2: fight or flight response that releases cortisol and adrenaline, and

827
00:44:04,560 --> 00:44:08,200
Speaker 2: then when these threats go away, your body returns to

828
00:44:08,280 --> 00:44:12,000
Speaker 2: the baseline. But she's saying that the repeated exposure can

829
00:44:12,080 --> 00:44:16,760
Speaker 2: start disrupting not only your response to stress, but also

830
00:44:16,920 --> 00:44:19,680
Speaker 2: your reward system, and it could cause you to be

831
00:44:19,840 --> 00:44:25,839
Speaker 2: hopeless anxious. And some of the studies that they've done

832
00:44:26,080 --> 00:44:29,520
Speaker 2: now on this are really really crazy that show that

833
00:44:30,320 --> 00:44:34,480
Speaker 2: people who watch news cycles for six hours a day

834
00:44:34,520 --> 00:44:39,640
Speaker 2: with dis just repeated trauma of let's I mean, listen,

835
00:44:39,719 --> 00:44:42,560
Speaker 2: like it's happened so much in the past couple of

836
00:44:42,560 --> 00:44:47,960
Speaker 2: weeks between seeing the Charlie Kirk shooting on going around

837
00:44:47,960 --> 00:44:51,080
Speaker 2: social media and the woman who was stabbed on the

838
00:44:51,120 --> 00:44:54,160
Speaker 2: train just in that week alone. If you're watching the

839
00:44:54,200 --> 00:44:58,200
Speaker 2: news like that for multiple hours a day, they actually

840
00:44:58,320 --> 00:45:03,520
Speaker 2: think that you have more p probability than a person

841
00:45:03,560 --> 00:45:08,600
Speaker 2: that was actually at the event, which is crazy because

842
00:45:08,640 --> 00:45:11,520
Speaker 2: they said that that happened with the Boston Marathon bombing,

843
00:45:11,560 --> 00:45:14,400
Speaker 2: that people that were really emotionally invested in it and

844
00:45:14,480 --> 00:45:17,360
Speaker 2: looking it up every day and seeing all these videos

845
00:45:17,600 --> 00:45:20,080
Speaker 2: have more trauma than people that actually were there and

846
00:45:20,160 --> 00:45:21,000
Speaker 2: experienced it.

847
00:45:21,440 --> 00:45:24,040
Speaker 1: Well, think about if you were there, for example, and

848
00:45:24,120 --> 00:45:26,560
Speaker 1: you saw some stuff. You're seeing it in person, so

849
00:45:26,600 --> 00:45:28,759
Speaker 1: you're most likely not going to.

850
00:45:28,760 --> 00:45:31,640
Speaker 2: Go back and revisit the footage, right, Yeah, it's like

851
00:45:31,719 --> 00:45:32,640
Speaker 2: if one and done.

852
00:45:33,000 --> 00:45:34,799
Speaker 1: Yeah, but if you're removed from it and then you

853
00:45:34,920 --> 00:45:37,480
Speaker 1: just keep looking at it over and over and over again.

854
00:45:37,560 --> 00:45:40,680
Speaker 1: I totally can see this happening. I even notice on

855
00:45:40,800 --> 00:45:44,680
Speaker 1: days when I'm just scrolling on TikTok or Instagram all night,

856
00:45:44,800 --> 00:45:46,600
Speaker 1: how miserable I am the next day and how it

857
00:45:46,640 --> 00:45:48,960
Speaker 1: affects my mood and stuff, because you're just it's not

858
00:45:49,040 --> 00:45:51,240
Speaker 1: even just the news. You're seeing people live in nicer

859
00:45:51,280 --> 00:45:53,400
Speaker 1: houses than you, You're seeing people who you think are

860
00:45:53,400 --> 00:45:54,120
Speaker 1: prettier than you.

861
00:45:54,200 --> 00:45:55,000
Speaker 2: It's everything.

862
00:45:55,360 --> 00:45:57,839
Speaker 1: It just puts you in a terrible mindset. I think

863
00:45:57,920 --> 00:46:01,840
Speaker 1: everybody needs to watch that Mountain movie on HBO. It

864
00:46:01,920 --> 00:46:06,400
Speaker 1: really gives you a good fictional glimpse into how dangerous

865
00:46:06,400 --> 00:46:07,480
Speaker 1: seeing things like this are.

866
00:46:08,680 --> 00:46:13,200
Speaker 2: So they call this doomsday scrolling, Like I'm reading this

867
00:46:13,320 --> 00:46:15,320
Speaker 2: article and I'm like, this is ruining my life because

868
00:46:15,440 --> 00:46:17,720
Speaker 2: this I feel like I do it. I'm one hundred

869
00:46:17,719 --> 00:46:22,520
Speaker 2: percent I do because I'm well, I'm in a weird

870
00:46:22,560 --> 00:46:28,560
Speaker 2: situation because my job is I write and educate about

871
00:46:28,600 --> 00:46:32,280
Speaker 2: these things. So but like the Charlie Kirk video, for example,

872
00:46:32,360 --> 00:46:35,560
Speaker 2: I've watched it hundreds of times frame by frame, like

873
00:46:35,760 --> 00:46:38,000
Speaker 2: because I'm trying to figure out and talk about what

874
00:46:38,080 --> 00:46:42,600
Speaker 2: happened and everything. But I could see and not only that,

875
00:46:42,760 --> 00:46:45,360
Speaker 2: just like all of my past work experience of seeing

876
00:46:45,360 --> 00:46:47,440
Speaker 2: stuff like, I could see that it definitely takes an

877
00:46:47,480 --> 00:46:50,799
Speaker 2: effect on people. And then the article is saying, like,

878
00:46:50,880 --> 00:46:53,359
Speaker 2: you start living your life being scared that stuff's going

879
00:46:53,440 --> 00:46:58,120
Speaker 2: to happen, so obviously, like don't you feel like a

880
00:46:58,120 --> 00:47:00,279
Speaker 2: lot of people do that though, just hearing all these

881
00:47:00,320 --> 00:47:01,360
Speaker 2: news stories all the time.

882
00:47:01,800 --> 00:47:04,160
Speaker 1: Well yeah, And I mean, I guess the obvious advice

883
00:47:04,200 --> 00:47:06,040
Speaker 1: they're giving in this article is not to be on

884
00:47:06,080 --> 00:47:08,240
Speaker 1: your phone all day and to give your brain the break.

885
00:47:08,360 --> 00:47:10,840
Speaker 1: But it's just not the way we live anymore.

886
00:47:11,560 --> 00:47:14,359
Speaker 2: Yeah, And I think for most people though, that they

887
00:47:14,440 --> 00:47:17,920
Speaker 2: really they don't sit on it as much. I mean,

888
00:47:18,200 --> 00:47:20,840
Speaker 2: the regular people that aren't in this kind of a

889
00:47:20,840 --> 00:47:23,560
Speaker 2: field that we're in right now, look at these stories

890
00:47:23,640 --> 00:47:27,080
Speaker 2: for this many hours a day. Yeah, I mean, because

891
00:47:27,120 --> 00:47:31,120
Speaker 2: that's like, really, that's really sad actually to think about

892
00:47:31,120 --> 00:47:34,879
Speaker 2: that because I feel like sometimes part of the job

893
00:47:34,960 --> 00:47:37,359
Speaker 2: that I don't like is that I just feel as

894
00:47:37,360 --> 00:47:39,400
Speaker 2: if I can't really turn it off because I'm trying

895
00:47:39,400 --> 00:47:42,040
Speaker 2: to constantly like learn about all the stuff that's going

896
00:47:42,040 --> 00:47:42,760
Speaker 2: on all the time.

897
00:47:43,200 --> 00:47:46,040
Speaker 1: I would argue that boomers are the worst generation with

898
00:47:46,120 --> 00:47:49,240
Speaker 1: this because they have phones and they're used to watching

899
00:47:49,320 --> 00:47:52,000
Speaker 1: the news, so they have both going at the same time.

900
00:47:53,320 --> 00:47:56,120
Speaker 2: Because I can name ten people.

901
00:47:55,920 --> 00:47:57,600
Speaker 1: Off the top of my head in this age bracket

902
00:47:57,600 --> 00:48:01,040
Speaker 1: that are just constantly living in its fear. Did you

903
00:48:01,080 --> 00:48:02,680
Speaker 1: see this on the news? Did you see this on

904
00:48:02,760 --> 00:48:04,560
Speaker 1: the news? It's like, you can't just watch the news

905
00:48:04,600 --> 00:48:07,360
Speaker 1: all the time, you have to watch something else. Everybody

906
00:48:07,360 --> 00:48:10,160
Speaker 1: makes fun of me for reading my shitty romance books

907
00:48:10,200 --> 00:48:13,920
Speaker 1: and watching Real Housewives, But I read horrible things all

908
00:48:14,000 --> 00:48:16,000
Speaker 1: day to provide entertainment.

909
00:48:15,560 --> 00:48:19,160
Speaker 2: To you people, So I need a break at the

910
00:48:19,280 --> 00:48:24,399
Speaker 2: end of the day. Those books are really bad. They're

911
00:48:24,440 --> 00:48:25,279
Speaker 2: Homemark movie.

912
00:48:27,160 --> 00:48:29,680
Speaker 1: That's not a Hallmark movie. That's like some kind of

913
00:48:30,840 --> 00:48:34,440
Speaker 1: weirdst of all, I don't read romanticy, so relax. I

914
00:48:34,560 --> 00:48:38,120
Speaker 1: read like dumb other contemporary.

915
00:48:37,600 --> 00:48:39,680
Speaker 2: That was not that. That was not the impression I

916
00:48:39,719 --> 00:48:42,279
Speaker 2: got when I went to that bookstore. Did you see

917
00:48:42,280 --> 00:48:44,080
Speaker 2: me shopping on that side of the store.

918
00:48:44,160 --> 00:48:47,279
Speaker 1: I don't think so. All right, let's move on to

919
00:48:47,360 --> 00:48:49,480
Speaker 1: questions of the Week. Every Friday that mother knows that

920
00:48:49,600 --> 00:48:51,799
Speaker 1: Instagram account or on the YouTube channel, you guys can

921
00:48:51,840 --> 00:48:54,880
Speaker 1: ask us whatever questions you want. One, why does it

922
00:48:54,960 --> 00:48:57,480
Speaker 1: hurt to break a bone? I thought they didn't have nerves.

923
00:48:58,080 --> 00:49:01,560
Speaker 1: Bones have nerves. They're just on the outside of the bone.

924
00:49:01,640 --> 00:49:04,360
Speaker 1: So there's something there's a thin membrane on the outside

925
00:49:04,360 --> 00:49:07,040
Speaker 1: of the bones called the periostium, which has a ton

926
00:49:07,120 --> 00:49:11,280
Speaker 1: of nerves. So when the bone breaks, that causes pain.

927
00:49:11,800 --> 00:49:15,800
Speaker 1: And then you also have if you have a compound fracture,

928
00:49:15,840 --> 00:49:18,480
Speaker 1: for example, where the bone breaks in pieces and it

929
00:49:18,560 --> 00:49:22,120
Speaker 1: could stab into your muscles and your tendons, you could

930
00:49:22,160 --> 00:49:24,800
Speaker 1: also get pain from that, and then you get swelling

931
00:49:24,840 --> 00:49:28,800
Speaker 1: and inflammation and that can compress nerves, which also causes pain.

932
00:49:28,920 --> 00:49:33,319
Speaker 1: So yeah, they have nerves, all right too. Have you

933
00:49:33,360 --> 00:49:37,200
Speaker 1: seen any extra weird ectopic pregnancies this person saying they

934
00:49:37,239 --> 00:49:40,120
Speaker 1: just had a patient with one in each fallopian tube.

935
00:49:40,160 --> 00:49:44,759
Speaker 2: Ooh, that's interesting. Yeah, I've seen a lot just in

936
00:49:44,800 --> 00:49:47,960
Speaker 2: surgical pathology. I mean, I haven't seen any real interesting

937
00:49:48,000 --> 00:49:51,439
Speaker 2: ones in real life in surgical pathology, just the old

938
00:49:51,480 --> 00:49:54,360
Speaker 2: bread and butter one in a philopian tube. But we

939
00:49:54,480 --> 00:49:57,480
Speaker 2: do have some really awesome cases in the gross room.

940
00:49:58,000 --> 00:50:00,520
Speaker 2: We have one called you Can't Judge a Book by

941
00:50:00,560 --> 00:50:04,000
Speaker 2: Its Cover, and that's a woman that had an abdominal pregnancy,

942
00:50:04,040 --> 00:50:07,200
Speaker 2: which is super super rare. And then we have another

943
00:50:07,280 --> 00:50:10,520
Speaker 2: one called two for One that there is actually a

944
00:50:10,560 --> 00:50:14,160
Speaker 2: twin pregnancy inside of a Filippian tube and it's really

945
00:50:14,200 --> 00:50:16,399
Speaker 2: cool to look at. So check those out.

946
00:50:16,680 --> 00:50:19,800
Speaker 1: I think question was submitted by one of our YouTube

947
00:50:19,960 --> 00:50:21,960
Speaker 1: Live regulars, and I don't want to say her name

948
00:50:22,040 --> 00:50:23,880
Speaker 1: out here, just in case she could get in trouble

949
00:50:24,320 --> 00:50:27,680
Speaker 1: with her work for exposing that information. But we could

950
00:50:27,760 --> 00:50:28,560
Speaker 1: ask her probably, so.

951
00:50:28,680 --> 00:50:31,960
Speaker 2: I'm sure that's fine because like, that's not that would

952
00:50:31,960 --> 00:50:34,720
Speaker 2: not fall under a hip of violation by any means.

953
00:50:34,880 --> 00:50:35,680
Speaker 2: I don't know how.

954
00:50:35,600 --> 00:50:39,239
Speaker 1: Rules were with Diner's offices. So all right, three, how

955
00:50:39,280 --> 00:50:41,400
Speaker 1: long did it take for you to perfect your bun?

956
00:50:42,880 --> 00:50:45,839
Speaker 2: Oh? I don't really know. I was thinking about that

957
00:50:45,880 --> 00:50:50,120
Speaker 2: when I saw this question. I don't know. I don't

958
00:50:50,120 --> 00:50:53,600
Speaker 2: even really know when I started. I guess I started

959
00:50:53,600 --> 00:50:56,640
Speaker 2: wearing it when the kids were little, right, or maybe

960
00:50:56,640 --> 00:50:58,239
Speaker 2: when I was pregnant or something with them.

961
00:50:58,360 --> 00:51:02,919
Speaker 1: But when you were have luber, you like you got

962
00:51:02,920 --> 00:51:04,600
Speaker 1: the most outrageous haircut ever.

963
00:51:05,200 --> 00:51:07,760
Speaker 2: Well, that was not my That was not my fault.

964
00:51:08,640 --> 00:51:10,880
Speaker 2: That was crazy. That was not my fault. Because I

965
00:51:11,000 --> 00:51:13,120
Speaker 2: used to shave the side of my hair my hair,

966
00:51:14,400 --> 00:51:17,839
Speaker 2: and then some person like botched my hair so bad

967
00:51:17,920 --> 00:51:21,000
Speaker 2: and cut it like all the way back across. Did

968
00:51:21,040 --> 00:51:22,040
Speaker 2: you you don't remember that.

969
00:51:23,080 --> 00:51:25,279
Speaker 1: I just remember coming in the house one day and

970
00:51:25,480 --> 00:51:28,160
Speaker 1: was like, I don't know if it's pregnancy hormones, but

971
00:51:28,239 --> 00:51:28,840
Speaker 1: I don't.

972
00:51:28,600 --> 00:51:31,120
Speaker 2: Know what she's thinking. No, I had to hair cut.

973
00:51:31,440 --> 00:51:34,160
Speaker 2: I had to cut off all my hair. It was terrible.

974
00:51:34,920 --> 00:51:37,480
Speaker 2: I had the little corner above my ear shaved, that

975
00:51:37,680 --> 00:51:40,399
Speaker 2: was it, and this lady decided to put all these

976
00:51:40,480 --> 00:51:44,640
Speaker 2: crazy layers like behind it, like halfway to my hair.

977
00:51:45,040 --> 00:51:47,480
Speaker 2: So my hair literally looked like it was long on

978
00:51:47,480 --> 00:51:49,920
Speaker 2: one side and the other side looked like an eighties

979
00:51:50,040 --> 00:51:53,960
Speaker 2: layered haircut. It was the weirdest thing. Ever. There was

980
00:51:54,040 --> 00:51:56,000
Speaker 2: nothing I could do to fix it. So then I

981
00:51:56,080 --> 00:51:57,799
Speaker 2: was just like, I have to cut all my hair off.

982
00:51:57,840 --> 00:51:59,359
Speaker 2: There was That was the only thing that I could

983
00:51:59,400 --> 00:52:01,680
Speaker 2: do to fix it. But then I so then I

984
00:52:01,760 --> 00:52:03,560
Speaker 2: cut all my hair off, like right before I had

985
00:52:03,640 --> 00:52:06,320
Speaker 2: Luber and then I really haven't caught it much since.

986
00:52:06,920 --> 00:52:09,640
Speaker 1: I feel like your bun. I'm trying to just think

987
00:52:09,680 --> 00:52:12,640
Speaker 1: because didn't you did? Yeah, you had the shave side

988
00:52:12,680 --> 00:52:16,840
Speaker 1: part for a while after, because Lillian basically had the

989
00:52:16,840 --> 00:52:19,520
Speaker 1: same haircut as you for a while. That's also your

990
00:52:19,560 --> 00:52:21,759
Speaker 1: em O given your kid. Me and her had the

991
00:52:21,840 --> 00:52:27,759
Speaker 1: same haircut, like that was little for years. I feel

992
00:52:27,800 --> 00:52:31,360
Speaker 1: like the bun started coming up around what like twenty eighteen,

993
00:52:31,400 --> 00:52:32,480
Speaker 1: twenty nineteen.

994
00:52:33,239 --> 00:52:36,480
Speaker 2: No, I have a picture wearing the bun with Lillian

995
00:52:36,520 --> 00:52:39,960
Speaker 2: when she's one years old. Are you sure? Yes, you

996
00:52:40,000 --> 00:52:43,360
Speaker 2: took the picture. We were at some pumpkin farm or something. Oh,

997
00:52:43,400 --> 00:52:43,879
Speaker 2: you're right.

998
00:52:43,960 --> 00:52:46,200
Speaker 1: Okay, So you had it before and then you got

999
00:52:46,239 --> 00:52:48,560
Speaker 1: the bots haircut and then you went back yeah when

1000
00:52:48,600 --> 00:52:51,520
Speaker 1: your hair grew back. Okay, yeah, you're right. Oh yeah,

1001
00:52:51,680 --> 00:52:54,120
Speaker 1: I remember that photo shootcause remember they wanted me to

1002
00:52:54,160 --> 00:52:56,640
Speaker 1: pay like one hundred and fifty dollars because I had

1003
00:52:56,640 --> 00:52:59,319
Speaker 1: my regular camera and like, yeah, I don't think so.

1004
00:52:59,560 --> 00:53:03,279
Speaker 2: Yeah that we just did it really fast. Yeah that

1005
00:53:03,440 --> 00:53:04,680
Speaker 2: was dumb. Okay, guys.

1006
00:53:04,719 --> 00:53:06,800
Speaker 1: On Friday, we are gonna be at the Wildlife CSI

1007
00:53:06,840 --> 00:53:10,160
Speaker 1: at Lake Tobias Wildlife Park and then the following weekend

1008
00:53:10,200 --> 00:53:12,080
Speaker 1: we are going to be sponsoring the golf carts at

1009
00:53:12,080 --> 00:53:14,560
Speaker 1: the Keeping Hope a Live Golf Classic, and the weekend

1010
00:53:14,560 --> 00:53:17,360
Speaker 1: after that we will be at Darkside, New Jersey and Edison.

1011
00:53:18,000 --> 00:53:20,759
Speaker 2: I'm looking forward to that. I'm gonna go shopping for

1012
00:53:20,880 --> 00:53:21,320
Speaker 2: my house.

1013
00:53:22,040 --> 00:53:24,480
Speaker 1: We should have the schedule for that coming out, hopefully

1014
00:53:24,480 --> 00:53:25,960
Speaker 1: in the next week or two too, so we can

1015
00:53:26,040 --> 00:53:30,520
Speaker 1: give some more instructions. But I think if you buy

1016
00:53:30,560 --> 00:53:33,680
Speaker 1: the ticket early, you get some money off, so look

1017
00:53:33,719 --> 00:53:36,640
Speaker 1: into that because it's pretty affordable to go to in general,

1018
00:53:36,640 --> 00:53:38,279
Speaker 1: but I think you get an extra five bucks off

1019
00:53:38,280 --> 00:53:38,799
Speaker 1: if you get in.

1020
00:53:38,920 --> 00:53:41,160
Speaker 2: Yeah, and then you could get really too my book too,

1021
00:53:41,200 --> 00:53:42,960
Speaker 2: and I'll sign your book if you get one.

1022
00:53:43,080 --> 00:53:46,080
Speaker 1: So yeah, all right, guys, Well head over to Apple

1023
00:53:46,120 --> 00:53:48,640
Speaker 1: or Spotify, leave us review, subscribe to our YouTube channel,

1024
00:53:48,640 --> 00:53:50,319
Speaker 1: and if you have stories for us, please submit them

1025
00:53:50,320 --> 00:53:52,280
Speaker 1: to stories at Mothernosdeath dot com.

1026
00:53:52,440 --> 00:53:58,760
Speaker 2: So yeah, thank you for listening to Mother nos Death.

1027
00:53:59,440 --> 00:54:04,239
Speaker 2: As my training is as a pathologist's assistant. I have

1028
00:54:04,280 --> 00:54:08,760
Speaker 2: a master's level education and specialize in anatomy and pathology education.

1029
00:54:09,880 --> 00:54:12,040
Speaker 2: I am not a doctor and I have not diagnosed

1030
00:54:12,160 --> 00:54:15,799
Speaker 2: or treated anyone dead or alive without the assistance of

1031
00:54:15,800 --> 00:54:21,040
Speaker 2: a licensed medical doctor. This show, my website, and social

1032
00:54:21,080 --> 00:54:24,600
Speaker 2: media accounts are designed to educate and inform people based

1033
00:54:24,640 --> 00:54:28,560
Speaker 2: on my experience working in pathology, so they can make

1034
00:54:28,760 --> 00:54:33,440
Speaker 2: healthier decisions regarding their life and well being. Always remember

1035
00:54:33,440 --> 00:54:36,560
Speaker 2: that science is changing every day, and the opinions expressed

1036
00:54:36,600 --> 00:54:39,239
Speaker 2: in this episode are based on my knowledge of those

1037
00:54:39,280 --> 00:54:43,080
Speaker 2: subjects at the time of publication. If you are having

1038
00:54:43,080 --> 00:54:47,080
Speaker 2: a medical problem, have a medical question, or having a

1039
00:54:47,080 --> 00:54:51,439
Speaker 2: medical emergency, please contact your physician or visit an urgent

1040
00:54:51,480 --> 00:54:56,480
Speaker 2: care center, emergency room, or hospital. Please rate, review, and

1041
00:54:56,560 --> 00:55:01,080
Speaker 2: subscribe to Mother Knows Death on Apple, Spotify, YouTube, or

1042
00:55:01,120 --> 00:55:03,480
Speaker 2: anywhere you get podcasts. Thanks