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

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Speaker 2: Hi.

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Speaker 1: Everyone, welcome to Mother Knows Death. Let's get started with

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Speaker 1: the story.

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Speaker 2: Of the week.

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Speaker 3: God, this one is particularly sad. I don't know if

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Speaker 3: you felt the same way.

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Speaker 2: Of course.

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Speaker 3: So in London a few days ago, this local dance

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Speaker 3: studio was hosting a yoga and dance night that was

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Speaker 3: Taylor Swift theme. So it was marketed towards young girls,

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Speaker 3: I believe between the ages of six and eleven. Right,

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Speaker 3: So there's a bunch of little girls there with their moms.

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Speaker 3: They're having a good time, and then this seventeen year

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Speaker 3: old walks in with a knife and just starts attacking everybody.

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Speaker 1: Yeah, I mean we did two taller Swift type things

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Speaker 1: the past couple of weeks. We went to some impersonator

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Speaker 1: concert thing about a week or two ago, and then

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Speaker 1: like yesterday, we actually drove down the shore to see

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Speaker 1: Taylor Swift's guitar because apparently she donated it to the

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Speaker 1: museum down the shore where she used to go when

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Speaker 1: she was a kid. And the whole entire museum was

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Speaker 1: packed with parents with their kids, little kids to go

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Speaker 1: see this stuff.

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Speaker 2: Right, it's just.

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Speaker 1: It's so it's so like I don't even know how

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Speaker 1: you make sense of it, you know, it's you can't.

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Speaker 1: And it's like here, I know that they have issues

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Speaker 1: in the UK more with with like knife attacks like this,

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Speaker 1: where this doesn't happen as frequently in the US, but

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Speaker 1: in the US we have the gun issue. So it's like, regardless,

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Speaker 1: why do you have to be scared to take your

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Speaker 1: children out to an event like this? And who would

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Speaker 1: even think that anybody would want to hurt a kid

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Speaker 1: like that. It's just so you can't wrap your mind

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Speaker 1: around it.

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Speaker 2: No, you can't.

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Speaker 3: And as a result of this, three eight little girls

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Speaker 3: have died, so a nine year old, a seven year old,

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Speaker 3: and a six year old, and as of Tuesday, they

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Speaker 3: were saying eight other children had suffered stab wounds, five

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Speaker 3: of which are in critical condition, and I believe there's

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Speaker 3: two adults in critical condition as well. And the adults

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Speaker 3: that were her were believed to have been protecting the

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Speaker 3: kids or covering them up, so they just kind of

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Speaker 3: got her as a result of this. But you know,

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Speaker 3: I was thinking, we we had a baseball game Tuesday night,

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Speaker 3: so we couldn't do it. But last week you know,

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Speaker 3: a bar near my house was doing in all ages

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Speaker 3: Taylor Swift themed trivia and we had talked about maybe

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Speaker 3: taking them there, and you know, I was thinking about

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Speaker 3: it as this really fun like girls night out for

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Speaker 3: the four of us.

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Speaker 1: But to think that, I'm sure that's what every single

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Speaker 1: parent was thinking this night and exactly it's it sounds

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Speaker 1: so crazy that one person with a knife is able

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Speaker 1: to almost kill like over ten people. Like it's just

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Speaker 1: it's just kind of crazy to make kill and almost kill.

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Speaker 1: I mean, if they're in critical canda, then he did

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Speaker 1: serious injuries to all these people. And of course they're

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Speaker 1: not releasing really anything about him because he's seventeen years old.

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Speaker 1: I just want to know what was this.

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Speaker 2: All about, Like what caused this?

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Speaker 1: I feel like he almost researched how like where to

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Speaker 1: cut somebody in order to cause the most damage, because

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Speaker 1: how else would you how else would you do that?

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Speaker 1: I mean, I don't really know about the size of

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Speaker 1: the knife he was using or anything, and of course

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Speaker 1: kids have little anatomy, but it's just fucking terrible.

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Speaker 3: I know in the UK they can't release his name

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Speaker 3: because he's a minor's that must be a law that's

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Speaker 3: specific to there or maybe in most European countries. I'm

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Speaker 3: not sure, but I'm hoping, even though we don't know

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Speaker 3: his identity, that they could release details about motive and

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Speaker 3: everything like that so we could just have an understanding.

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Speaker 3: Was he having a mental breakdown? Was he having some

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Speaker 3: type of episode? Was he planning I mean attacks.

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Speaker 1: Like before when it boils down to it, and it's

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Speaker 1: this could be said about any case that we talk about,

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Speaker 1: like does it really matter, like when you lose your

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Speaker 1: child or a loved one or something like, what what's

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Speaker 1: the difference? Does that make you feel better about it?

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Speaker 2: I don't. I don't really know, you know, yeah.

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Speaker 1: I just I don't think that that's gonna make that's

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Speaker 1: gonna make me like not more in my child as

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Speaker 1: hard or something something like that.

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Speaker 3: You know, No, definitely, And I can't imagine how difficult

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Speaker 3: this is for her as well. It's like, you know,

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Speaker 3: her name is plastered all over this thing, right, and

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Speaker 3: it's her, it's her entire fan base as young girls

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Speaker 3: that are looking up to her, and this was intended

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Speaker 3: to be a night to celebrate her and how fun

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Speaker 3: the entire culture she's built around her music is so

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Speaker 3: you know, she did release the statement that she doesn't

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Speaker 3: even know the right words to say and how to

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Speaker 3: you know, address the families properly. I mean, she must

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Speaker 3: be devastated by this.

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Speaker 1: Yeah, I mean, what do you say. It's there's nothing

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Speaker 1: that you could say to make this any better, right,

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Speaker 1: It's fucking terrible.

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Speaker 3: No, it's it's just absolutely horrible. And you know, the

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Speaker 3: girls are this age, and it just it makes you

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Speaker 3: so upset thinking about it.

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Speaker 2: All right, let's talk about some celebrity news.

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Speaker 3: This story is like, I'm so absolutely outraged by this.

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Speaker 3: You know, there's there's been so much controversy with the

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Speaker 3: Olympics since they started last week. I mean we're like

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Speaker 3: barely a week indo them, and there's already all this

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Speaker 3: bullshit going on around it. Only to find out that

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Speaker 3: the Netherlands have allowed a child rapist to compete this year.

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Speaker 1: Yeah, which I'm really not okay with. This guy was

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Speaker 1: nineteen years old, so he only let's start off by

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Speaker 1: saying he only did this in twenty and sixteen, which

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Speaker 1: was really not that long ago.

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Speaker 3: Well, he was just an even ten. He was convicted

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Speaker 3: in twenty sixteen, So in twenty fourteen, this guy. His

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Speaker 3: name Stephen von Deevilde. He's nineteen years old. He meets

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Speaker 3: this He's from Amsterdam. He meets this twelve year old

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Speaker 3: girl online, flies to England, has sex with her, and

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Speaker 3: then makes her get the morning after pill. So the

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Speaker 3: clinic in which she got the morning after pill from

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Speaker 3: had reported this to her family and police and that's

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Speaker 3: how they kind of figured this out.

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Speaker 2: So he's nineteen years.

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Speaker 1: Old and she's twelve years old. I don't even understand

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Speaker 1: how this happens, because I mean real and I'm just

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Speaker 1: I'm not trying to like victim blame, but I just

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Speaker 1: want to know, like where were her parents when all

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Speaker 1: this was happening too? Do they have any responsibility? And

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Speaker 1: I mean obviously like that guy shouldn't have been contacting

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Speaker 1: her online and traveling to see her. But how was

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Speaker 1: she talking to someone online and able to have sex

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Speaker 1: with them and knew she should be having sex with them,

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Speaker 1: and then going to a clinic by herself. It just

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Speaker 1: seems kind of a lot for a kid that's only

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Speaker 1: twelve years.

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Speaker 3: Old, right, Yeah, because Lillian's almost twelve, and I think

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Speaker 3: about her being in this scenario and I'm just like,

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Speaker 3: I don't even think she would know to do all that,

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Speaker 3: and like she kind of in an alternate universe, were always.

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Speaker 1: Making Now She's probably not the best example because she

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Speaker 1: like she lives in her own little world. But their

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Speaker 1: friends are all the same age. It's just it seems

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Speaker 1: very advanced for me for a twelve year old to

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Speaker 1: begin with. So I'm just wondering. I don't know some

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Speaker 1: how that happened. But regardless, I mean, I guess that

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Speaker 1: doesn't matter, because some twelve year old guys shouldn't have

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Speaker 1: did this anyway.

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Speaker 2: No, he shouldn't have did it anyway.

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Speaker 3: I mean, there's definitely a question of like, where was

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Speaker 3: why wasn't she being monitored as a young child, you know,

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Speaker 3: But some children are just on different levels. I feel

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Speaker 3: like when I was twelve, I was on Lillian's level

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Speaker 3: of just being completely.

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Speaker 2: Naive about the world.

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Speaker 3: And then I will never forget I was in seventh

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Speaker 3: grade and what are you like thirteen and seventh grade

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Speaker 3: and I'm in the locker room and Jim and somebody

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Speaker 3: whispers next to me, like so and so give someone

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Speaker 3: a blowjob last year, And I'm like, last year in

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Speaker 3: sixth grade, I didn't even know what a blowjob was

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Speaker 3: when I was thirteen years old, Like, I just I

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Speaker 3: couldn't believe it. So I just think there's these two

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Speaker 3: really different types of children and their knowledge of things

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Speaker 3: and maturity levels and everything. But anyway, in twenty sixteen,

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Speaker 3: he was convicted and sentenced to four years in prison

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Speaker 3: in England, which, of course, as we know with pedophiles,

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Speaker 3: they get special treatment, so he didn't serve four years.

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Speaker 3: He served about one year in England, got transferred back

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Speaker 3: to Amsterdam, and then got out one month later.

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Speaker 1: Yeah, which for I'm like thinking four years and they're

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Speaker 1: you know, a twelve year old is, in my opinion,

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Speaker 1: still a child. There's no consent ever happening there. And

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Speaker 1: a nineteen year old, even though they're still young and

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Speaker 1: their brains aren't developed right in everything, they're a man technically,

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Speaker 1: I mean, they would be allowed to vote, serve in

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Speaker 1: the army, all of that kind of stuff, right, So

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Speaker 1: he knew that that wasn't right, and in fact, I

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Speaker 1: would go as far to say that he is a pedophile.

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Speaker 1: You should when you're nineteen years old, why you're attracted

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Speaker 1: to a child that's twelve.

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Speaker 3: Even I was thinking about this too, like if you

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Speaker 3: take the age difference, so Ricky's three years older than me, right,

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Speaker 3: Like if I was twelve and Ricky was fifteen, that's

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Speaker 3: still a criminal offense in my mind.

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Speaker 2: I don't know.

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Speaker 1: I think it's a little bit different, like once the

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Speaker 1: kids it's different once the kids get older. But I

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Speaker 1: think especially because it's like sometimes you have kids. This

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Speaker 1: just happened at our kids' school actually, that one of

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Speaker 1: the kids in fifth grade had a crush on one

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Speaker 1: of the boys that were in eighth grade and was

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Speaker 1: like actively like trying to, you know, have him be

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Speaker 1: her boyfriend kind of thing. And I'm like, no, that's

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Speaker 1: not good because there's a big difference between kids that

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Speaker 1: are in fifth grade versus kids that are in eighth grade.

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Speaker 1: But I think it's harder and it's a little bit

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Speaker 1: more innocent in a situation where kids are in school

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Speaker 1: with the kids because there is such a big difference,

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Speaker 1: especially like you know, the high school that you went

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Speaker 1: to started in seventh grade, right, yeah, Okay, so that

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Speaker 1: went from seventh grade to twelve eighteen year olds in

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Speaker 1: high school, so you could have been very much in

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Speaker 1: that situation where you're twelve or thirteen years old, and

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Speaker 1: then there's a boy that's eighteen that sees you at

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Speaker 1: school and might be in one of your classes and

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Speaker 1: everything like that. Not saying it's right, I'm just saying

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Speaker 1: that it's a little bit more of an organic situation

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Speaker 1: where children don't really realize how old they are what's

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Speaker 1: going on there, Whereas with this one, it was like, okay, dude,

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Speaker 1: you're old enough to be out of high school and

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Speaker 1: you looked her out online and found her and then

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Speaker 1: traveled and you know, when you watch to catch a

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Speaker 1: predator and stuff, it's like these these these sex offenders,

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Speaker 1: they'll drive hours or fly whatever, and you know you're

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Speaker 1: doing something wrong if you're trying to get sex and

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Speaker 1: going through all of those you know, motions to get there.

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Speaker 3: Well, actually they're saying that if he committed this act

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Speaker 3: in Amsterdam, he would not have been convicted.

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Speaker 1: Oh I know, it's well, I mean they're all different countries,

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Speaker 1: have all different rules, right, yeah. So and regardless, like

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Speaker 1: he did what he did and he served his time

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Speaker 1: technically what he was given. No, he went through an

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Speaker 1: extensive rehabilitation program.

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Speaker 3: So the Netherlands Olympic Committee is defending it, saying that

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Speaker 3: he went through the extensive rehabilitation program, and experts had

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Speaker 3: concluded that there was no risk of him reoffending. I

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Speaker 3: do not agree with this, And let's say that's true.

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Speaker 3: Why does this person then deserve to represent the country

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Speaker 3: of Netherlands in this prestigious game situation? Like, I'm so

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Speaker 3: this this disgusted me on so many levels, Like I've

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Speaker 3: always dreamed of going to Amsterdam, and it makes me

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Speaker 3: not want to even give them my money.

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Speaker 1: Well, imagine that it Like, Okay, I have a twelve

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Speaker 1: year old or almost twelve year old, and she gets

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Speaker 1: raped by a nineteen year old, So imagine that this

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Speaker 1: sets her up for life of problems and just I mean,

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Speaker 1: she hasn't even gotten to the age where she has

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Speaker 1: ever dated anyone, naturally, right, her whole entire sex life,

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Speaker 1: dating life is going to be altered because of this event.

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Speaker 1: And then you get to see the guy on TV

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Speaker 1: like succeeding and doing well and winning medals and being

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Speaker 1: celebrated and having parades like no, not fucking cool.

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Speaker 3: Sorry, yeah, and you know what else I thought about?

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Speaker 3: So then I was like, all right, so he is competing,

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Speaker 3: but what's the youngest age of Olympians, right, so there's

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Speaker 3: no age limit for Olympians. There is literally an eleven

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Speaker 3: year old competing in the Olympics right now, so he

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Speaker 3: is in the presence of children. So I just I

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Speaker 3: don't trust the whole thing. And they're just like, oh, well,

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Speaker 3: he's not staying in the Olympic village.

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Speaker 2: Oh well, that means.

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Speaker 3: He can't do it anything right, just because he's not

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Speaker 3: staying in the apartments as the rest of them is.

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Speaker 1: But what so, why is this a news story? Are

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Speaker 1: they trying to get rid of them or they're just saying, like, yo,

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Speaker 1: this is fucked up.

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Speaker 2: We're just letting you guys.

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Speaker 3: So I think they're just like everybody is pretty disgusted

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Speaker 3: and outraged every time he's done two games so far

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Speaker 3: and he's been booed every time he's come out. He

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Speaker 3: is another game tomorrow Friday at two pm local Paris time,

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Speaker 3: so make sure to boo him then too, and go

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Speaker 3: on Twitter bollo him and everything. I'm like, I'm so

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Speaker 3: disgusted by the situation. So I guess everybody in the

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Speaker 3: media in France and the UK and the United States

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Speaker 3: that are covering this are like, I don't understand why

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Speaker 3: this was even allowed or this isn't a big deal.

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Speaker 3: And in the Netherlands they're just like, it is what

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Speaker 3: it is. He went, he served his time, so he's good.

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Speaker 3: Now what is going on over there that this is okay?

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Speaker 2: Again? It wasn't It wasn't. It really bothers me.

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Speaker 3: I understand they're both technically teenagers, right, but it's a

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Speaker 3: huge difference, Like twelve to nineteen years old, you were

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Speaker 3: a world depart One is legally an adult and one.

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Speaker 2: Is a child.

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Speaker 1: Plus I keep thinking about, like I'm visually thinking about

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Speaker 1: every twelve year old that I know in my life

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Speaker 1: right now, which is a bunch of them.

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Speaker 2: And even if some of them have gotten their period

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Speaker 2: a couple of years ago or this year or recently or.

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Speaker 1: Whatever, not one of them is built anywhere near like

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Speaker 1: a teenager. They are built like children, exact like little

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Speaker 1: things starting to happen to their body. And that to

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Speaker 1: me is a line.

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Speaker 2: You know that you're.

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Speaker 1: Attracted to that you're attracted to a child's body like

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Speaker 1: and it and it's just it's gross, you know.

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Speaker 3: So this is what he had to say about the matter.

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Speaker 3: He said, and I quote, I made that choice in

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Speaker 3: my life when I wasn't ready. I was sort of lost,

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Speaker 3: and now I have so much more life experience. I

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Speaker 3: can't reverse it, so I have to carry the consequences.

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Speaker 3: It's the biggest mistake.

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Speaker 2: Of my life. You weren't ready what he wasn't ready

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Speaker 2: for what? This is just such pr bullshit.

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Speaker 1: Yeah, but also it's just like, oh, okay, well cool,

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Speaker 1: you just totally destroyed some girl's life. So as long

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Speaker 1: as you're good now, like, go on and have your career.

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Speaker 3: The purpose of the Olympics is to spread this sense

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Speaker 3: of like world peace and good values around the globe.

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Speaker 3: And how are we spreading good values if you're letting

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Speaker 3: a convicted sex offender participate and have the ability to

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Speaker 3: get a prestigious honor. It's disgusting. And the International Olympic

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Speaker 3: Committee is like, well, we let the countries decide, Like, no,

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Speaker 3: you need to step up and take responsibility too.

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Speaker 2: Yeah, I don't know.

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Speaker 3: I just I can't get on board with this. I'm sorry,

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Speaker 3: who is on board with it? Besides besides the people

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Speaker 3: that are in charge, all right, So you must like

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Speaker 3: not have good athletes there or something that they have

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Speaker 3: to like settle for a subpar person. I guess I I. Yeah,

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Speaker 3: I just don't. I will never understand why this is allowed.

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Speaker 2: I don't know.

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Speaker 3: You don't get you don't get good things when you

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Speaker 3: do bad things. Well apparently you do, because they don't

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Speaker 3: you don't.

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Speaker 2: You actually do. That's like total, that's like total point

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Speaker 2: of life right now?

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Speaker 1: Right?

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Speaker 2: Yeah?

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Speaker 3: So all right, So in January, we had reported that

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Speaker 3: Sinead O'Connor's cause of death was just, you know, nonchalantly

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Speaker 3: released as quote natural causes, which you were like, that's

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Speaker 3: not a cause of death.

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Speaker 1: Actually, well, I know I had said that, they said

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Speaker 1: that she died of natural causes, and I think because

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Speaker 1: she actually died in July of twenty twenty three, so

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Speaker 1: an entire year ago.

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Speaker 2: And she's young.

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Speaker 1: She's in her fifties, right, fifty she was fifty six six,

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Speaker 1: and her son had just died of suicide a few

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Speaker 1: the year before, of the year before, right, So it

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Speaker 1: was kind of a question of like, well, how did

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Speaker 1: she die because she seemed like online she was she

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Speaker 1: was visibly depressed about her son's suicide obviously, so there

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Speaker 1: was a lot of speculation about like, well, did did

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Speaker 1: she die by suicide or was she having like a

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Speaker 1: drug drinking problem whatever, and nobody really knew. But then

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Speaker 1: they came out and said that she died from natural causes,

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Speaker 1: So that would just imply that she had a medical

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Speaker 1: issue that caused her to die, but they didn't say

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Speaker 1: what it was, and they just came out and said

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Speaker 1: what it was.

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Speaker 3: Yeah, so now they're saying it was a combination of

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Speaker 3: chronic obstructive pulmonary disease and asthma.

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Speaker 2: So what does that mean for ra simple?

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Speaker 1: Chronic obstructive pulmonary disease is COPD, which you've probably heard

349
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Speaker 1: of because there's commercials and stuff for it all the time,

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Speaker 1: and there's different things that fall under COPD, So it

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Speaker 1: just means that there's some kind of blockage of air

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Speaker 1: getting into your lungs and getting oxygen through your body.

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Speaker 1: And underneath of that category of COPD are things like emphysema, asthma, bronchitis, bronchiectuses,

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Speaker 1: and cystic fibrosis, and they're just all different kinds of

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Speaker 1: disease that you could have with your lungs. So she

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Speaker 1: has emphysema, which is most of the time it's caused

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Speaker 1: by cigarette smoking, and that's when the little air secks

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Speaker 1: in your lungs kind of blow up into like a balloon,

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Speaker 1: and then the air gets stuck in there because it's

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Speaker 1: just there's so much space for the air to go in.

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Speaker 1: You can get it from some medical issues if she

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Speaker 1: had an underlying medical issue like that, but the most

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Speaker 1: common cause is from cigarette smoking and asthma. Seems she could.

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Speaker 1: I mean, so many people have asthma and stuff like that.

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Speaker 1: So what happened was, I think she had a lot

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Speaker 1: of lung disease. She could have just been a lifelong smoker,

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Speaker 1: and then on top of that, she got a respiratory

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Speaker 1: infection and it was just like the combination of the two.

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Speaker 1: She just wasn't able to get enough oxygen in her

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Speaker 1: body and she died because of that.

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Speaker 3: Yeah, it's just the whole thing's really sad. I mean,

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Speaker 3: with the Sun's death the year before her saidden death.

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Speaker 3: You know they have other kids too, husband left behind

374
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Speaker 3: just said, I mean, fifty six is just really so

375
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Speaker 3: so young, so dying, and especially again I'll go on

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Speaker 3: my brant about cigarettes and stuff, because if she wasn't

377
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Speaker 3: a smoker then you know, and I'm not saying that

378
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Speaker 3: she was because I don't, like I said, I don't know,

379
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Speaker 3: but probability wise, she was.

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Speaker 2: And this is what the problem was.

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Speaker 1: It's like, here's a prime example of someone that died

382
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Speaker 1: from results of cigarettes smoking that doesn't have cancer because

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Speaker 1: a lot of people just think, oh, you get lung

384
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Speaker 1: cancer from smoking, and it's like, this is just one

385
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Speaker 1: of the other things that could happen that have nothing

386
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Speaker 1: to do with cancer but can kill you. Yeah, all right,

387
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Speaker 1: let's get on the freak accidents. We have a lot

388
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Speaker 1: in this category today.

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Speaker 2: Oh my god.

390
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Speaker 3: So this mom goes to Burger King with her four

391
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Speaker 3: year old daughter. She orders her a kid's meal. You know,

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Speaker 3: I think they were in the drive through, right, So

393
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Speaker 3: she gets the bag, you know, as we do with

394
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Speaker 3: the kids, to you just like throw it back.

395
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Speaker 2: To the throw in the back seat, throw it in the.

396
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Speaker 1: Back seat, drive with one arm, stick your other arm behind,

397
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Speaker 1: throw the stuff to them. Yeah.

398
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Speaker 3: I love to when they're just like, I don't know

399
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Speaker 3: how to put the straw in the cup. And then

400
00:20:12,520 --> 00:20:15,080
Speaker 3: you're like almost crashing the cart trying to put this

401
00:20:15,240 --> 00:20:17,040
Speaker 3: yet the cup in the vac seat.

402
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Speaker 2: So you know that's going on.

403
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Speaker 3: And then the daughter says, Mommy, I didn't want ketchup

404
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Speaker 3: on my food. So she takes the bag up front,

405
00:20:25,760 --> 00:20:28,440
Speaker 3: pulls over and looks at it. Oh, no, it's not ketchup.

406
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Speaker 3: It's blood.

407
00:20:30,160 --> 00:20:34,200
Speaker 1: Yeah, there's blood all over the wrapper of her burger.

408
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Speaker 1: And not only that, but it's all over the bag.

409
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Speaker 1: It's all over, dripping inside of the French fries apparently,

410
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Speaker 1: And she calls the restaurant right away because she realized

411
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Speaker 1: that it wasn't ketch up, and they said, oh, yeah,

412
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Speaker 1: we're sorry. It was Burger King, right, Yeah, they called

413
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Speaker 1: Burger King and they said, yeah, one of our chefs

414
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Speaker 1: cut himself with a knife today and that's what happened,

415
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Speaker 1: and we apologize.

416
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Speaker 3: But he didn't think he was bleeding that.

417
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Speaker 2: Oh my god, this is so bad. So the daughter

418
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Speaker 2: now had to go.

419
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Speaker 1: She she they called the department a house she had to,

420
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Speaker 1: which they weren't really a big help.

421
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Speaker 2: They were just like, well, thanks for reporting it, but

422
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Speaker 2: there's not much we could do.

423
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Speaker 1: And I'm like, no, bullshit, there's not much you can do.

424
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Speaker 1: My kid ingested someone else's blood, possibly because it was

425
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Speaker 1: in the fry box, and you know, that's the first thing.

426
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Speaker 3: It was in laz and on the hamburger rapper. So

427
00:21:26,440 --> 00:21:28,359
Speaker 3: she said the kids. The kid had eat and the

428
00:21:28,440 --> 00:21:31,240
Speaker 3: couple fries and had taken a bite out of the hamburger.

429
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Speaker 1: So, I mean the probability of her catching a blood

430
00:21:36,400 --> 00:21:40,240
Speaker 1: born illness is very low, but still if you get

431
00:21:40,359 --> 00:21:43,879
Speaker 1: blood in your mouth, it's there's it's you can have

432
00:21:44,000 --> 00:21:46,600
Speaker 1: it transmitted through that, especially if she had a cut

433
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Speaker 1: in her mouth, and a little kid could totally have

434
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Speaker 1: a cut in their mouth, right this guy if he

435
00:21:52,040 --> 00:21:56,200
Speaker 1: had HIV, HEP, B, hepsy, anything like that. So now

436
00:21:56,440 --> 00:21:59,640
Speaker 1: the little kid has to get tested every single month

437
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Speaker 1: for a year ye to see if she contracted any

438
00:22:01,880 --> 00:22:06,240
Speaker 1: of these illnesses. And like if you don't take the

439
00:22:06,680 --> 00:22:10,720
Speaker 1: proper medications right after you have an exposure like that

440
00:22:10,840 --> 00:22:16,040
Speaker 1: in order to prevent you from possibly getting this one

441
00:22:16,080 --> 00:22:19,480
Speaker 1: of these viruses transmitted, which you can do in some cases,

442
00:22:20,000 --> 00:22:20,720
Speaker 1: like if.

443
00:22:20,600 --> 00:22:24,240
Speaker 2: You get HEP or HEPSI, like you have it.

444
00:22:24,400 --> 00:22:27,200
Speaker 1: Like there's no taking a drug and making it go away.

445
00:22:27,320 --> 00:22:30,400
Speaker 1: I mean, you can get treatments now that are very

446
00:22:30,440 --> 00:22:33,480
Speaker 1: effective in a lot of cases. But it's a lot

447
00:22:33,560 --> 00:22:35,880
Speaker 1: for a child to go through who was just trying

448
00:22:35,880 --> 00:22:37,600
Speaker 1: to eat some French fries at Burger King.

449
00:22:37,920 --> 00:22:39,960
Speaker 3: Yeah, I mean the mom saying she has to get

450
00:22:40,040 --> 00:22:44,199
Speaker 3: monthly blood tests for a whole year. That's traumatizing for

451
00:22:44,280 --> 00:22:44,840
Speaker 3: a child.

452
00:22:45,480 --> 00:22:49,600
Speaker 1: Yeah well that alone, Yeah that alone for just to

453
00:22:49,640 --> 00:22:53,080
Speaker 1: bring a kid to get blood work done. But I mean,

454
00:22:53,920 --> 00:22:56,520
Speaker 1: I think that this is lawsuit worthy for real.

455
00:22:56,600 --> 00:23:00,000
Speaker 3: Yeah, I agree, we always are talking about stupid lawsuit,

456
00:23:00,200 --> 00:23:02,879
Speaker 3: but this is one for sure that I think is warranted,

457
00:23:03,320 --> 00:23:06,440
Speaker 3: especially because the health department of Burger King are like, well,

458
00:23:06,760 --> 00:23:08,679
Speaker 3: we closed the restaurant for the day to clean it.

459
00:23:08,760 --> 00:23:11,520
Speaker 3: Like okay, there's larger problems at hand here, So of

460
00:23:11,560 --> 00:23:14,760
Speaker 3: course she took the TikTok to expose them, because that's

461
00:23:14,800 --> 00:23:17,280
Speaker 3: the only way in today's day and age, like you go.

462
00:23:17,359 --> 00:23:19,600
Speaker 1: Back and forth and you just think, okay, this guy,

463
00:23:20,720 --> 00:23:23,600
Speaker 1: this guy cut his finger, and like the chef at

464
00:23:23,600 --> 00:23:26,480
Speaker 1: Burger King, who knows he could be anywhere from.

465
00:23:26,200 --> 00:23:28,840
Speaker 2: Like fifteen to fifty. You know, you don't know.

466
00:23:29,080 --> 00:23:31,800
Speaker 1: You don't know the guy situation, which I'd like to

467
00:23:31,840 --> 00:23:34,360
Speaker 1: know actually because it would help you determine like if

468
00:23:34,359 --> 00:23:39,080
Speaker 1: they were just a dumb teenager or what the deal was.

469
00:23:39,160 --> 00:23:43,680
Speaker 1: But it's it's not really Burger King's fault per se.

470
00:23:44,920 --> 00:23:47,800
Speaker 1: It's not even the guy's fault. I don't think he

471
00:23:47,920 --> 00:23:50,160
Speaker 1: intentionally was like dripping his blood over.

472
00:23:50,240 --> 00:23:53,000
Speaker 3: They didn't intentionally do it, but they also should have

473
00:23:53,080 --> 00:23:56,360
Speaker 3: be trained enough to know like the second.

474
00:23:56,720 --> 00:23:57,479
Speaker 2: I mean, I don't know.

475
00:23:57,520 --> 00:24:00,240
Speaker 1: I just the bottom line is, though it happened like

476
00:24:00,280 --> 00:24:02,479
Speaker 1: this kid is the is the victim of it, So

477
00:24:02,760 --> 00:24:05,040
Speaker 1: I think someone needs to be responsible for it.

478
00:24:05,119 --> 00:24:07,560
Speaker 2: But maybe that would be their argument, Courd. I don't know.

479
00:24:07,600 --> 00:24:10,560
Speaker 3: I'm just constantly surprised by the lack of food safety

480
00:24:10,600 --> 00:24:13,280
Speaker 3: training that people that work in food establishments have. Like

481
00:24:13,320 --> 00:24:15,639
Speaker 3: the second you cut your finger, you're supposed to like

482
00:24:16,320 --> 00:24:17,280
Speaker 3: stop everything.

483
00:24:17,520 --> 00:24:20,040
Speaker 1: Clearly he nicked a little artery or something. If it

484
00:24:20,119 --> 00:24:21,400
Speaker 1: was like dripping that much.

485
00:24:21,280 --> 00:24:23,200
Speaker 3: It wasn't like a little paper cut that you didn't

486
00:24:23,240 --> 00:24:25,399
Speaker 3: like Do you ever get like this happens to me

487
00:24:25,480 --> 00:24:27,840
Speaker 3: sometimes sometimes I'll just be like walking around and I'll

488
00:24:27,880 --> 00:24:29,720
Speaker 3: look down and I'll have like a little blood smeared

489
00:24:29,760 --> 00:24:31,280
Speaker 3: on my hand because I had a paper cut or

490
00:24:31,280 --> 00:24:33,720
Speaker 3: something and I didn't realize or something.

491
00:24:33,760 --> 00:24:37,840
Speaker 1: You know, it was this there's there's like, yeah, there's

492
00:24:38,080 --> 00:24:39,800
Speaker 1: decent drops for sure.

493
00:24:40,040 --> 00:24:42,879
Speaker 3: Yeah, So I don't know. I do I do agree.

494
00:24:42,920 --> 00:24:45,240
Speaker 3: I think she should maybe consider taking leashit.

495
00:24:45,560 --> 00:24:48,480
Speaker 1: We need to start having a survey, like because we

496
00:24:48,520 --> 00:24:50,760
Speaker 1: have so many questions like this, like is this lawsuit

497
00:24:50,800 --> 00:24:51,439
Speaker 1: worthy or not?

498
00:24:51,680 --> 00:24:54,760
Speaker 3: Well, you know, I do think it's lawsuit worthy. I mean,

499
00:24:55,000 --> 00:24:57,720
Speaker 3: at the very least, they should cover the medical expenses

500
00:24:57,760 --> 00:24:59,639
Speaker 3: for the kid having to get all those tests for

501
00:24:59,680 --> 00:25:00,680
Speaker 3: the NEX so.

502
00:25:01,920 --> 00:25:04,639
Speaker 1: I think also I've heard that there's a role that

503
00:25:06,720 --> 00:25:10,920
Speaker 1: if she contracted HIV or heppie or hepsy or something,

504
00:25:11,040 --> 00:25:14,560
Speaker 1: then it would be lawsuit worthy. But until then, like

505
00:25:14,640 --> 00:25:18,600
Speaker 1: she technically wasn't really harmed. Now, I think a four

506
00:25:18,640 --> 00:25:21,560
Speaker 1: year old having to get blood work is a lot

507
00:25:21,600 --> 00:25:23,639
Speaker 1: on them, but like one of my kids has to

508
00:25:23,640 --> 00:25:25,439
Speaker 1: get blood work all the time, and it's like it's

509
00:25:25,480 --> 00:25:28,960
Speaker 1: it's not really causing that much of an effect on

510
00:25:29,000 --> 00:25:31,359
Speaker 1: her entire life, you know what I mean. Listen, like

511
00:25:31,800 --> 00:25:35,159
Speaker 1: it like suffering pain and suffering and stuff. The mom's

512
00:25:35,160 --> 00:25:38,000
Speaker 1: probably more emotionally distraught than the kid. Doesn't even really

513
00:25:38,040 --> 00:25:38,919
Speaker 1: realize what happened.

514
00:25:38,960 --> 00:25:42,679
Speaker 3: This lawsuit is not going to destroy the Burger king empire. Like,

515
00:25:42,840 --> 00:25:45,720
Speaker 3: just give them a couple thousand dollars to cover the test.

516
00:25:45,520 --> 00:25:48,080
Speaker 2: And they won't be inclined it. It's an I already

517
00:25:48,080 --> 00:25:50,600
Speaker 2: should have did that. So the lady just didn't say anything.

518
00:25:50,600 --> 00:25:53,280
Speaker 3: Maybe this is what these corporate businesses don't understand. It's

519
00:25:53,320 --> 00:25:56,400
Speaker 3: like you were in the wrong and the littlest gesture

520
00:25:56,480 --> 00:25:59,479
Speaker 3: could just make it right. Like if they were like, listen,

521
00:25:59,640 --> 00:26:01,840
Speaker 3: we're really sorry about this. We'll cover her bills for

522
00:26:01,880 --> 00:26:03,400
Speaker 3: the rest of the year. What could that be? At

523
00:26:03,440 --> 00:26:06,359
Speaker 3: most five to ten thousand dollars for them, that's a

524
00:26:06,480 --> 00:26:09,760
Speaker 3: drop in the hat for them, nothing. They're a multi

525
00:26:09,760 --> 00:26:12,840
Speaker 3: million dollar company. They are making so much money. I mean,

526
00:26:12,880 --> 00:26:15,960
Speaker 3: they could afford super Bowl commercials. Think about that. That's

527
00:26:16,040 --> 00:26:19,560
Speaker 3: millions of dollars to play one super Bowl commercial. So like,

528
00:26:20,280 --> 00:26:22,359
Speaker 3: give the people the money. It was your fault. You

529
00:26:22,440 --> 00:26:25,400
Speaker 3: have insurance, it won't affect you at all. It's honestly,

530
00:26:25,440 --> 00:26:28,600
Speaker 3: probably a tax right off. But just do it right.

531
00:26:29,000 --> 00:26:31,440
Speaker 2: They'll actually make out on the deal. Yeah, all right.

532
00:26:31,480 --> 00:26:34,520
Speaker 3: So in Santa Cruz, California, there's this area known as

533
00:26:34,560 --> 00:26:37,120
Speaker 3: the Death Rocks near the ocean because the currents could

534
00:26:37,200 --> 00:26:40,520
Speaker 3: change so rapidly. So this couple was standing on the

535
00:26:40,600 --> 00:26:43,359
Speaker 3: rocks to take a photo. The woman had just found

536
00:26:43,400 --> 00:26:45,840
Speaker 3: out she was pregnant. They were expecting their first child,

537
00:26:45,960 --> 00:26:48,320
Speaker 3: and sure enough, a wave comes up and takes them

538
00:26:48,359 --> 00:26:49,720
Speaker 3: and kills them.

539
00:26:50,119 --> 00:26:52,160
Speaker 2: Did somebody witness that happening?

540
00:26:52,880 --> 00:26:56,679
Speaker 3: I couldn't tell because who knew they were taking a photo?

541
00:26:56,680 --> 00:26:59,200
Speaker 3: Did somebody see them taking a selfie with somebody else

542
00:26:59,240 --> 00:27:01,920
Speaker 3: taking a photo of them? I feel like somebody had

543
00:27:01,920 --> 00:27:04,320
Speaker 3: to have witnessed it because first responders seemed to be

544
00:27:04,359 --> 00:27:07,840
Speaker 3: on it pretty quick. Yeah, and they they found them

545
00:27:08,000 --> 00:27:11,280
Speaker 3: right away in the water, face down dead. Yes, I

546
00:27:11,320 --> 00:27:14,479
Speaker 3: mean it's it's it's like so crazy, it sucks.

547
00:27:14,840 --> 00:27:16,440
Speaker 2: Yeah, I've been hearing a lot of this lately.

548
00:27:16,480 --> 00:27:20,199
Speaker 1: I didn't some girl recently within the past couple of

549
00:27:20,320 --> 00:27:26,080
Speaker 1: weeks fall at one of these national parks or something

550
00:27:26,119 --> 00:27:26,440
Speaker 1: like that.

551
00:27:26,640 --> 00:27:29,320
Speaker 3: Well, I think we wrote about that girl that or

552
00:27:29,440 --> 00:27:31,440
Speaker 3: I think on the show we talked about that girl

553
00:27:31,480 --> 00:27:35,080
Speaker 3: that fell into the volcano because she was trying to

554
00:27:35,080 --> 00:27:35,760
Speaker 3: take a picture.

555
00:27:36,000 --> 00:27:36,359
Speaker 2: Yeah.

556
00:27:36,520 --> 00:27:39,800
Speaker 1: No, there was just another one I think in Arizona

557
00:27:39,920 --> 00:27:43,399
Speaker 1: or one of those places that they she fell taken

558
00:27:43,440 --> 00:27:46,320
Speaker 1: a picture. You just hear about this a lot, really,

559
00:27:46,480 --> 00:27:49,760
Speaker 1: I mean not a lot, like there's you hear about

560
00:27:49,800 --> 00:27:52,199
Speaker 1: everyone that happens. But there's been a couple people this

561
00:27:52,320 --> 00:27:54,760
Speaker 1: year that have died taken pictures.

562
00:27:55,200 --> 00:27:57,400
Speaker 2: Yeah, and the fire, how terrible is that? Yeah?

563
00:27:57,400 --> 00:28:00,520
Speaker 3: And the fire Department said it's really important, especially in

564
00:28:00,560 --> 00:28:03,399
Speaker 3: an area nicknamed death Rocks, that you're paying attention to

565
00:28:03,440 --> 00:28:05,680
Speaker 3: the tide levels and that you never turn your back

566
00:28:05,720 --> 00:28:09,440
Speaker 3: to the ocean because you things can happen very quickly

567
00:28:09,480 --> 00:28:10,560
Speaker 3: like this and you just never know.

568
00:28:10,760 --> 00:28:13,480
Speaker 1: There is a saying that says that, like never turn

569
00:28:13,560 --> 00:28:16,040
Speaker 1: your back to the ocean or something like that. I

570
00:28:16,119 --> 00:28:18,560
Speaker 1: remember we were talking about this because I was going

571
00:28:18,600 --> 00:28:21,639
Speaker 1: on my rant about how people are like way overdoing

572
00:28:21,680 --> 00:28:24,720
Speaker 1: the selfies anymore, Like why are you taking so many

573
00:28:24,760 --> 00:28:25,760
Speaker 1: pictures of yourself?

574
00:28:26,200 --> 00:28:26,800
Speaker 2: You know what I mean?

575
00:28:27,000 --> 00:28:29,639
Speaker 1: Remember we were talking about that that one episode because

576
00:28:29,680 --> 00:28:31,480
Speaker 1: we were at the Phillies game and the girls setting

577
00:28:31,520 --> 00:28:34,520
Speaker 1: in front of me seriously took a hundred selfies of

578
00:28:34,560 --> 00:28:36,840
Speaker 1: herself in front of Gabe and I where we were

579
00:28:36,840 --> 00:28:40,200
Speaker 1: sitting there, and I was just like, this is so ridiculous.

580
00:28:41,080 --> 00:28:44,840
Speaker 1: Well listen, I'm serious. There's a certain level that like

581
00:28:44,960 --> 00:28:48,240
Speaker 1: people aren't living their life anymore because they're so worried

582
00:28:48,360 --> 00:28:51,120
Speaker 1: about pulling out their phone to take videos and pictures.

583
00:28:51,680 --> 00:28:54,360
Speaker 1: You're just like, just experience life, like you don't need

584
00:28:54,400 --> 00:28:55,880
Speaker 1: a picture and a video of everything.

585
00:28:56,560 --> 00:29:00,160
Speaker 3: Yeah, I would agree with that, all right, So In

586
00:29:00,160 --> 00:29:02,480
Speaker 3: twenty twenty one, a woman in Ireland had gone to

587
00:29:02,520 --> 00:29:04,840
Speaker 3: the hospital because she had chest pain and thought she

588
00:29:04,960 --> 00:29:08,080
Speaker 3: swallowed a dental plate. I'm really confused, but is that

589
00:29:08,320 --> 00:29:11,360
Speaker 3: Is that like in a visil line or no.

590
00:29:11,640 --> 00:29:14,920
Speaker 1: Think about like if your bottom two in sizors, your

591
00:29:14,920 --> 00:29:19,080
Speaker 1: front teeth are missing, they make this wire plate that

592
00:29:19,240 --> 00:29:21,160
Speaker 1: kind of hooks on the sides to your teeth and

593
00:29:21,200 --> 00:29:23,040
Speaker 1: it just has like two teeth attached.

594
00:29:22,680 --> 00:29:24,560
Speaker 3: To Okay, I got it, got it, got it. So

595
00:29:24,880 --> 00:29:27,080
Speaker 3: she thought she had so hers was missing, so she

596
00:29:27,160 --> 00:29:29,959
Speaker 3: thought she swallowed it. Yeah, so she thought she swallowed it.

597
00:29:30,000 --> 00:29:32,640
Speaker 3: So the hospital gave her this meal test to see

598
00:29:32,640 --> 00:29:35,320
Speaker 3: if she could swallow, which she was able to swallow

599
00:29:35,360 --> 00:29:37,360
Speaker 3: find and then they did an x ray and no

600
00:29:37,520 --> 00:29:39,600
Speaker 3: foreign body showed up on the x ray, so they

601
00:29:40,080 --> 00:29:41,760
Speaker 3: kind of brushed her off and were like you're good

602
00:29:41,800 --> 00:29:43,400
Speaker 3: to go, and center on her way.

603
00:29:44,520 --> 00:29:47,240
Speaker 1: Yeah, but what the people working at the hospital didn't

604
00:29:47,320 --> 00:29:50,520
Speaker 1: know was that this dental plate, like certain dental plates,

605
00:29:50,600 --> 00:29:53,960
Speaker 1: don't show up on imaging, so when you do the

606
00:29:54,120 --> 00:29:56,200
Speaker 1: x ray, you wouldn't see the foreign body like you

607
00:29:56,240 --> 00:29:58,520
Speaker 1: would if you swallowed a quarter or something like that.

608
00:29:59,160 --> 00:30:02,080
Speaker 1: And what happened next is terrible. I mean, this lady's

609
00:30:02,120 --> 00:30:04,959
Speaker 1: only thirty three years old, and seventeen days later she

610
00:30:05,040 --> 00:30:07,800
Speaker 1: was at home and she collapsed and started vomiting blood,

611
00:30:08,360 --> 00:30:11,040
Speaker 1: and she went to the hospital and they saw that

612
00:30:11,080 --> 00:30:16,440
Speaker 1: she had the dental plate was embedded in her esophagus.

613
00:30:16,720 --> 00:30:20,080
Speaker 1: But really, like the most messed up part of it

614
00:30:20,160 --> 00:30:22,719
Speaker 1: was that she went to the hospital at one o'clock

615
00:30:22,760 --> 00:30:25,080
Speaker 1: in the morning, and they didn't even see her and

616
00:30:25,120 --> 00:30:27,720
Speaker 1: figure out that this had happened until seven o'clock in

617
00:30:27,760 --> 00:30:28,120
Speaker 1: the morning.

618
00:30:28,200 --> 00:30:31,280
Speaker 3: Yeah, And so basically this week the court was hearing

619
00:30:31,320 --> 00:30:34,400
Speaker 3: about the delay in her treatment, which is becoming an

620
00:30:34,440 --> 00:30:37,200
Speaker 3: issue because now they're like, Okay, if you know these

621
00:30:37,200 --> 00:30:39,280
Speaker 3: things aren't showing up in the x rays, what are

622
00:30:39,360 --> 00:30:41,680
Speaker 3: you going to do about it moving forward? If somebody

623
00:30:41,680 --> 00:30:45,200
Speaker 3: thinks it happened because it in the hospital from your experience,

624
00:30:45,240 --> 00:30:46,920
Speaker 3: I mean, I know you were working in the lab

625
00:30:46,920 --> 00:30:49,160
Speaker 3: and in the morgue, not with live patients, But would

626
00:30:49,160 --> 00:30:51,760
Speaker 3: do you think or do you know of any technique

627
00:30:51,800 --> 00:30:53,920
Speaker 3: they could do that wouldn't be an X ray to

628
00:30:54,040 --> 00:30:55,720
Speaker 3: check to see if it was in there. Would they

629
00:30:55,760 --> 00:30:58,680
Speaker 3: have to send like a camera down.

630
00:30:58,720 --> 00:30:59,280
Speaker 2: They could do?

631
00:31:00,880 --> 00:31:03,560
Speaker 1: Yeah, I mean they could do an endoscopy. But that's

632
00:31:04,000 --> 00:31:07,800
Speaker 1: that's a huge that's so much more work than an

633
00:31:07,960 --> 00:31:10,840
Speaker 1: X ray. I don't even mean more works, it's more

634
00:31:10,920 --> 00:31:14,480
Speaker 1: work because it now you need an anesthesiologist and you

635
00:31:14,520 --> 00:31:18,640
Speaker 1: need a special doctor that could do an endoscopy. It's time,

636
00:31:18,840 --> 00:31:24,280
Speaker 1: it's more money, it's more invasive. There can be complications

637
00:31:24,280 --> 00:31:28,320
Speaker 1: with endoscopy, and the chance of if somebody unless they

638
00:31:28,320 --> 00:31:30,760
Speaker 1: were like, it just went down my throat five minutes ago,

639
00:31:30,880 --> 00:31:32,959
Speaker 1: then it would still be in their stomach. But like,

640
00:31:33,480 --> 00:31:36,000
Speaker 1: who knows, you know, when you go to the er

641
00:31:36,120 --> 00:31:38,520
Speaker 1: right and you sit in the waiting room for five hours, well,

642
00:31:38,600 --> 00:31:41,400
Speaker 1: like it won't even be in your stomach anymore.

643
00:31:41,440 --> 00:31:43,000
Speaker 2: It'll be moving down the GI track.

644
00:31:43,120 --> 00:31:46,760
Speaker 1: So they could probably do I'm not like one hundred

645
00:31:46,760 --> 00:31:49,920
Speaker 1: percent sure with imaging and stuff. How if it would

646
00:31:49,960 --> 00:31:52,720
Speaker 1: show up in an MRI or CT scan or something like,

647
00:31:52,840 --> 00:31:55,560
Speaker 1: I don't know, But those tests also cost so much

648
00:31:55,560 --> 00:31:56,880
Speaker 1: more money than an X ray.

649
00:31:57,280 --> 00:32:00,360
Speaker 3: Yeah, I mean apparently the doctors were also disagreeing about

650
00:32:00,360 --> 00:32:04,440
Speaker 3: the diagnosis, which was delaying her care, which is messed up,

651
00:32:04,520 --> 00:32:07,640
Speaker 3: so she ended up dying from this, which is I

652
00:32:08,040 --> 00:32:10,520
Speaker 3: think if any patient comes in and says that they thought.

653
00:32:10,560 --> 00:32:15,600
Speaker 3: They think that they swallowed something like this or really anything,

654
00:32:16,360 --> 00:32:19,280
Speaker 3: then maybe you can do the more expensive or more

655
00:32:19,320 --> 00:32:22,640
Speaker 3: invasive testing to figure it out. But it's not like

656
00:32:22,840 --> 00:32:25,640
Speaker 3: it's a four year old that was sitting there and

657
00:32:25,680 --> 00:32:29,600
Speaker 3: the mom thinks it and it swallowed something and they

658
00:32:29,640 --> 00:32:32,040
Speaker 3: don't even know for sure. This is a thirty three

659
00:32:32,120 --> 00:32:36,200
Speaker 3: year old woman. She's she came in because she was like,

660
00:32:36,240 --> 00:32:38,760
Speaker 3: I mean, she's not going to come in and say

661
00:32:38,800 --> 00:32:39,840
Speaker 3: she swallowed that whole thing.

662
00:32:39,920 --> 00:32:41,080
Speaker 2: It's it's kind of big.

663
00:32:42,120 --> 00:32:46,120
Speaker 1: Yeah, you know, she she probably she probably slept it

664
00:32:46,280 --> 00:32:48,479
Speaker 1: on or something. I don't know, if you're not supposed

665
00:32:48,520 --> 00:32:52,720
Speaker 1: to sleep with them or whatever, but she she clearly

666
00:32:52,800 --> 00:32:57,440
Speaker 1: thought that that happened, and she still could have survived

667
00:32:57,440 --> 00:33:00,640
Speaker 1: this if she was seen when she got to the hospital.

668
00:33:01,000 --> 00:33:03,640
Speaker 1: I don't understand how you show up to the hospital

669
00:33:04,240 --> 00:33:09,680
Speaker 1: vomiting blood and you don't get seen for hours, six

670
00:33:09,720 --> 00:33:13,920
Speaker 1: hours that that should be a medical emergency.

671
00:33:14,640 --> 00:33:16,640
Speaker 3: Well, I think that's coming in. A question in court

672
00:33:16,720 --> 00:33:19,680
Speaker 3: now is like why was there delays? How could this

673
00:33:19,720 --> 00:33:22,200
Speaker 3: have been prevented? And maybe they're trying to use this

674
00:33:22,240 --> 00:33:25,240
Speaker 3: as an example of how to change procedure going forward.

675
00:33:25,800 --> 00:33:28,479
Speaker 2: This was this was in the UK or something. This

676
00:33:28,560 --> 00:33:29,360
Speaker 2: was in Ireland.

677
00:33:29,880 --> 00:33:32,240
Speaker 1: In Ireland, so I don't know how their medical system

678
00:33:32,320 --> 00:33:34,720
Speaker 1: rolls there, you know, like it's not the same as here.

679
00:33:35,360 --> 00:33:39,040
Speaker 1: I just think that if a young woman that's thirty

680
00:33:39,080 --> 00:33:41,960
Speaker 1: three years old is vomiting a lot of blood, that

681
00:33:41,960 --> 00:33:44,720
Speaker 1: that's like, let's wheel them in right now and figure

682
00:33:44,720 --> 00:33:47,800
Speaker 1: out what's wrong. That's not Oh it's not your fingers broken.

683
00:33:47,840 --> 00:33:49,720
Speaker 1: Go sit over there for five hours.

684
00:33:49,360 --> 00:33:49,920
Speaker 2: You know what I mean?

685
00:33:50,000 --> 00:33:51,640
Speaker 3: Yeah, I would, I would say so.

686
00:33:51,640 --> 00:33:52,840
Speaker 2: So I don't know.

687
00:33:52,880 --> 00:33:55,479
Speaker 3: Hopefully they're using this as a way to adjust the system.

688
00:33:55,560 --> 00:33:59,120
Speaker 3: So I mean, obviously this is a complete freak accident, right,

689
00:33:59,160 --> 00:34:02,800
Speaker 3: like this doesn't happen. They actually said though that swallowing

690
00:34:02,840 --> 00:34:06,520
Speaker 3: these like dental devices, isn't that rare, Like it does happen.

691
00:34:06,560 --> 00:34:08,719
Speaker 3: But the fact that it got lodged in her esophagus

692
00:34:08,760 --> 00:34:10,400
Speaker 3: the way there was what was weird.

693
00:34:10,400 --> 00:34:12,600
Speaker 1: And then it Yeah, I have a bunch of stories

694
00:34:12,760 --> 00:34:16,360
Speaker 1: in the gross room of like people swallowing drill bits

695
00:34:16,360 --> 00:34:20,279
Speaker 1: from the dentist office and dentures and things like that

696
00:34:20,400 --> 00:34:22,600
Speaker 1: getting stuck in their bowels and this and that.

697
00:34:22,800 --> 00:34:24,560
Speaker 3: Well, I was at the dentist yesterday and I was

698
00:34:24,600 --> 00:34:27,480
Speaker 3: thinking about that. Actually, what if they just were like

699
00:34:27,520 --> 00:34:28,760
Speaker 3: whoops and drop.

700
00:34:29,320 --> 00:34:31,200
Speaker 1: I think about that every time I go now too,

701
00:34:31,239 --> 00:34:33,520
Speaker 1: because because of the stuff in the gross room that

702
00:34:33,560 --> 00:34:37,600
Speaker 1: you've seen people with the dental drill bit, you know,

703
00:34:37,680 --> 00:34:39,799
Speaker 1: and it's they have to go to the hospital right

704
00:34:39,840 --> 00:34:42,800
Speaker 1: away because it's point t and it could tear you

705
00:34:42,840 --> 00:34:46,840
Speaker 1: or esophagus like this lady's case. So I'm sure that.

706
00:34:47,120 --> 00:34:49,960
Speaker 1: I'm sure I don't. But it's the same when you

707
00:34:50,080 --> 00:34:52,080
Speaker 1: use a drill bit on a drill, if you know

708
00:34:52,120 --> 00:34:54,359
Speaker 1: how to use the tool properly, it's never coming off

709
00:34:54,440 --> 00:34:57,160
Speaker 1: unless you didn't put it on right. It's not like

710
00:34:57,200 --> 00:34:58,600
Speaker 1: those things just fall off, you know.

711
00:34:58,719 --> 00:35:00,799
Speaker 3: Do you ever sit there though, and like if I

712
00:35:00,880 --> 00:35:04,040
Speaker 3: move my tongue by like a fraction of an inch

713
00:35:04,160 --> 00:35:06,840
Speaker 3: and it nips that thing, there's it's going to be

714
00:35:06,880 --> 00:35:08,239
Speaker 3: a bloody mess everywhere.

715
00:35:08,360 --> 00:35:08,840
Speaker 2: I'm sure.

716
00:35:08,960 --> 00:35:12,480
Speaker 1: I'm sure dentists and dental hygienis and stuff have some

717
00:35:12,520 --> 00:35:13,280
Speaker 1: good stories.

718
00:35:13,440 --> 00:35:16,719
Speaker 3: Oh yeah, for sure. All right, so this is a lawsuit.

719
00:35:17,239 --> 00:35:19,800
Speaker 3: I don't know how I feel about. So. In twenty sixteen,

720
00:35:19,840 --> 00:35:22,360
Speaker 3: a guy ordered boneless wings from a restaurant in Ohio,

721
00:35:22,480 --> 00:35:25,400
Speaker 3: but somehow a bone got lodged in his throat. So

722
00:35:25,920 --> 00:35:29,080
Speaker 3: how is that happening if you're ordering boneless wings. Well,

723
00:35:29,200 --> 00:35:32,880
Speaker 3: the court's saying, that's common sense that that could happen,

724
00:35:34,320 --> 00:35:37,399
Speaker 3: is it. I don't think it is common sense that

725
00:35:37,400 --> 00:35:38,240
Speaker 3: that could happen.

726
00:35:38,800 --> 00:35:42,879
Speaker 1: I mean, I've always wondered about this because wings are

727
00:35:43,040 --> 00:35:45,960
Speaker 1: really delicious, right, and they're kind of a pain, and

728
00:35:46,040 --> 00:35:48,960
Speaker 1: they asked to eat because you they're like eating crabs, right,

729
00:35:49,000 --> 00:35:51,160
Speaker 1: you get like two strands of me off of this

730
00:35:51,400 --> 00:35:54,960
Speaker 1: bony thing, so then they have boneless ones. But I

731
00:35:54,960 --> 00:35:57,719
Speaker 1: always would think, well, like, what is what's a boneless rib?

732
00:35:57,800 --> 00:35:59,319
Speaker 2: Like, how do they do that?

733
00:35:59,440 --> 00:36:03,120
Speaker 1: I don't know, to make it have be more meaty

734
00:36:03,160 --> 00:36:05,719
Speaker 1: like a chicken nugget type of thing. Well, but then

735
00:36:05,760 --> 00:36:09,239
Speaker 1: that goes for chicken nuggets, Like should we assume when

736
00:36:09,280 --> 00:36:11,120
Speaker 1: we eat chicken nuggets that there's going to be a

737
00:36:11,160 --> 00:36:11,719
Speaker 1: bone in it?

738
00:36:11,760 --> 00:36:13,920
Speaker 2: I just never thought about it. I guess no.

739
00:36:14,040 --> 00:36:17,040
Speaker 3: And in my mind this might be idiotic because I

740
00:36:17,120 --> 00:36:18,680
Speaker 3: just don't know, and I didn't look it up before

741
00:36:18,719 --> 00:36:22,719
Speaker 3: we recorded. But in my mind, boneless wings are made

742
00:36:22,880 --> 00:36:26,759
Speaker 3: like chicken nuggets, so like in my mind, they're they're

743
00:36:26,760 --> 00:36:29,319
Speaker 3: not They're not just taking the wing the bone out

744
00:36:29,320 --> 00:36:30,120
Speaker 3: of the wing right.

745
00:36:30,120 --> 00:36:31,680
Speaker 2: They're like shaped weird.

746
00:36:32,160 --> 00:36:34,960
Speaker 1: So they're making so it's like how they make like

747
00:36:35,000 --> 00:36:37,880
Speaker 1: a McDonald's one where they they take the chicken and

748
00:36:37,920 --> 00:36:40,000
Speaker 1: put it in a blender and mix it with fillers

749
00:36:40,040 --> 00:36:42,880
Speaker 1: and then form it into a nugget type thing or

750
00:36:42,920 --> 00:36:46,000
Speaker 1: like a wing shaped type thing. And that's what I

751
00:36:46,040 --> 00:36:48,880
Speaker 1: would think, because they I had them are up. I

752
00:36:48,880 --> 00:36:50,479
Speaker 1: don't think I had them, but one of the kids

753
00:36:50,480 --> 00:36:55,680
Speaker 1: got them before from Dominant is one of these chikes.

754
00:36:55,680 --> 00:36:58,560
Speaker 3: They're kind of big or they're just like chunks of

755
00:36:58,640 --> 00:37:01,360
Speaker 3: breasts that are fraught, know what I mean, Like I

756
00:37:01,440 --> 00:37:01,719
Speaker 3: don't know.

757
00:37:01,760 --> 00:37:02,160
Speaker 2: I don't know.

758
00:37:02,239 --> 00:37:05,640
Speaker 3: But regardless of that, I if I'm ordering boneless wings,

759
00:37:05,680 --> 00:37:08,160
Speaker 3: I would would say I'd be a little shocked that

760
00:37:09,400 --> 00:37:12,640
Speaker 3: a bone was in there. So the Supreme Court in

761
00:37:12,680 --> 00:37:15,920
Speaker 3: this state is saying that it's not it's not literal,

762
00:37:16,040 --> 00:37:19,880
Speaker 3: it's a cooking style. I don't think it's considered a

763
00:37:19,960 --> 00:37:20,880
Speaker 3: cooking style.

764
00:37:21,160 --> 00:37:26,680
Speaker 2: It's it to me, it's literal. I I'm kind of

765
00:37:26,719 --> 00:37:28,720
Speaker 2: like surprised by this, honestly.

766
00:37:28,640 --> 00:37:30,880
Speaker 3: And you know what, I'm surprised by that this that

767
00:37:31,000 --> 00:37:33,480
Speaker 3: this went to the Supreme Court and tax dollars are

768
00:37:33,520 --> 00:37:37,600
Speaker 3: being used to determine the terminology of boneless.

769
00:37:37,680 --> 00:37:39,919
Speaker 1: Think about if you're the guy, though, honestly, if you're

770
00:37:40,000 --> 00:37:41,040
Speaker 1: eating I'll say this.

771
00:37:41,239 --> 00:37:44,359
Speaker 2: If I'm eating fish that that was.

772
00:37:44,440 --> 00:37:46,840
Speaker 1: Caught right at my table and I know there's bones

773
00:37:46,880 --> 00:37:49,600
Speaker 1: in it, I'm eating it way different than I'm eating

774
00:37:50,080 --> 00:37:53,279
Speaker 1: a filet of fish that I don't suspect there to

775
00:37:53,320 --> 00:37:56,919
Speaker 1: be a bone in because I'm like constantly, Okay, I'm

776
00:37:56,920 --> 00:37:58,799
Speaker 1: not gonna chew too hard.

777
00:37:58,800 --> 00:38:00,680
Speaker 2: I don't want to get this bone to poke meat

778
00:38:00,840 --> 00:38:01,920
Speaker 2: or worse, swallow it.

779
00:38:02,280 --> 00:38:02,440
Speaker 3: Right.

780
00:38:02,600 --> 00:38:06,160
Speaker 2: The same when you eat wings, you just eat in

781
00:38:06,200 --> 00:38:09,319
Speaker 2: a different way when you know the bones there, right,

782
00:38:10,080 --> 00:38:10,880
Speaker 2: I mean you don't eat.

783
00:38:10,840 --> 00:38:13,239
Speaker 3: Yeah, because at the times I've had boneless I mean

784
00:38:13,320 --> 00:38:16,000
Speaker 3: I don't get boneless wings anymore because they tend not

785
00:38:16,040 --> 00:38:18,520
Speaker 3: to be gluten free. But I did enjoy them before

786
00:38:18,560 --> 00:38:21,560
Speaker 3: I was gluten free, and I eat them like chicken nuggets,

787
00:38:21,760 --> 00:38:25,560
Speaker 3: like I didn't eat them like like regular wing.

788
00:38:25,680 --> 00:38:28,520
Speaker 2: I don't know, I don't know what I feel.

789
00:38:28,520 --> 00:38:31,600
Speaker 1: Are they just saying that any single time there's meat

790
00:38:31,600 --> 00:38:33,960
Speaker 1: in a dish, you should expect there to be bone

791
00:38:33,960 --> 00:38:34,359
Speaker 1: with I.

792
00:38:34,280 --> 00:38:38,560
Speaker 3: Think they're saying that, which I could agree with that

793
00:38:38,760 --> 00:38:41,320
Speaker 3: argument because sometimes it just happens.

794
00:38:42,280 --> 00:38:43,480
Speaker 2: I just don't know. I guess.

795
00:38:43,680 --> 00:38:45,319
Speaker 3: I guess this boils down to it. And I know

796
00:38:45,520 --> 00:38:50,399
Speaker 3: people are screaming in their cars listening. I just don't

797
00:38:50,440 --> 00:38:52,600
Speaker 3: know how boneless wings are made. So like, I don't

798
00:38:52,760 --> 00:38:55,239
Speaker 3: I don't know the answer to this. I guess it's

799
00:38:55,280 --> 00:38:55,640
Speaker 3: gonna be some.

800
00:38:55,960 --> 00:38:59,160
Speaker 1: Really sloppy for not investigating this before we started talking

801
00:38:59,200 --> 00:39:03,239
Speaker 1: about this story. I'm gonna go with, I'm gonna go

802
00:39:03,320 --> 00:39:06,480
Speaker 1: with it's just someone picks the meat off the bone

803
00:39:06,600 --> 00:39:10,319
Speaker 1: and puts it together and throws some battery on it

804
00:39:10,360 --> 00:39:10,960
Speaker 1: and fries it.

805
00:39:11,000 --> 00:39:15,440
Speaker 2: I don't know, all right, really really a bone, let's go.

806
00:39:15,719 --> 00:39:21,000
Speaker 2: Let don't you think? Because the wing is dark meat? Right, yes, yes,

807
00:39:21,520 --> 00:39:22,040
Speaker 2: a chicken.

808
00:39:23,000 --> 00:39:26,160
Speaker 1: All it is is a dark meat nugget with with

809
00:39:26,560 --> 00:39:29,239
Speaker 1: hot like the hot sauce or whatever you normally put

810
00:39:29,239 --> 00:39:29,720
Speaker 1: on wings.

811
00:39:29,960 --> 00:39:32,560
Speaker 2: Because when you get a nugget, and typically you don't.

812
00:39:32,400 --> 00:39:34,720
Speaker 1: Pour sauce on it like that, you dip it into

813
00:39:35,400 --> 00:39:40,520
Speaker 1: honey mustard or sweet and sour or whatever. Right, it's

814
00:39:40,560 --> 00:39:42,879
Speaker 1: it's probably and but like if you go to Chick

815
00:39:42,880 --> 00:39:44,400
Speaker 1: fil a, it's a white meat nugget.

816
00:39:45,200 --> 00:39:46,920
Speaker 2: This is just a dark meat nugget.

817
00:39:47,000 --> 00:39:52,440
Speaker 3: Wait, I looked it up. It's pieces. It's can be

818
00:39:52,560 --> 00:39:56,799
Speaker 3: so pissed about pieces of breast meat cut into the

819
00:39:56,800 --> 00:39:57,800
Speaker 3: shape of chicken wings.

820
00:39:57,800 --> 00:40:01,440
Speaker 2: Though I did say that earlier. Oh so it's breast,

821
00:40:02,440 --> 00:40:05,319
Speaker 2: it's not even dark meat, so it's not even a wing. No,

822
00:40:05,480 --> 00:40:05,759
Speaker 2: it's not.

823
00:40:06,000 --> 00:40:08,480
Speaker 1: It's a cooking style. This is why it's a cooking style.

824
00:40:08,719 --> 00:40:10,959
Speaker 1: So you're just an idiot for not knowing what you're

825
00:40:11,200 --> 00:40:14,799
Speaker 1: putting in your mouth. Apparently, well, I think everybody could

826
00:40:14,880 --> 00:40:18,120
Speaker 1: argue we're probably idiots for talking about the story without

827
00:40:18,560 --> 00:40:23,480
Speaker 1: really researching it beforehand. Yeah, now that I think about it,

828
00:40:23,520 --> 00:40:25,239
Speaker 1: I feel like the cut surface of it is a

829
00:40:25,320 --> 00:40:29,200
Speaker 1: little bit light in color. With this new revelation in mind,

830
00:40:29,320 --> 00:40:33,560
Speaker 1: I was, no, this makes this actually makes sense then,

831
00:40:34,239 --> 00:40:38,120
Speaker 1: because they're essentially saying like it is a cooking style.

832
00:40:38,160 --> 00:40:41,760
Speaker 1: They're just saying it's a chicken nugget that's covered in sauce.

833
00:40:43,239 --> 00:40:45,480
Speaker 1: But maybe they need to change the name of it

834
00:40:45,520 --> 00:40:48,719
Speaker 1: to chicken nugget covered in sauce instead of boneless wing.

835
00:40:50,400 --> 00:40:54,040
Speaker 1: It's not a it's not a boneless wingsugets.

836
00:40:54,080 --> 00:40:59,520
Speaker 3: Bad marketing though, but okay, boneless wings as chicken nuggets.

837
00:41:00,160 --> 00:41:03,319
Speaker 1: But but regardless, Okay, it's a chicken nugget of some

838
00:41:03,440 --> 00:41:06,120
Speaker 1: sort that's a different shape. It's not like the Santa

839
00:41:06,160 --> 00:41:10,399
Speaker 1: boot from McDonald's. It's a different shape, right, So why

840
00:41:10,480 --> 00:41:11,279
Speaker 1: was there a bone in it?

841
00:41:11,360 --> 00:41:12,240
Speaker 2: Still? I'm confused?

842
00:41:13,640 --> 00:41:16,920
Speaker 1: Yeah, like, yes, they're still they're still wrong, right, A

843
00:41:17,000 --> 00:41:18,719
Speaker 1: nugget doesn't have a bone in it.

844
00:41:19,040 --> 00:41:19,520
Speaker 2: I don't know.

845
00:41:21,040 --> 00:41:23,040
Speaker 3: Pring the boneless wings?

846
00:41:24,120 --> 00:41:25,120
Speaker 2: Are you not feeling?

847
00:41:25,480 --> 00:41:28,360
Speaker 3: They said it was a five centimeter long chicken bone

848
00:41:28,600 --> 00:41:30,720
Speaker 3: that was lodged in his esophagus.

849
00:41:31,200 --> 00:41:34,200
Speaker 2: Yeah, I mean was he inhaling the food? I had?

850
00:41:34,719 --> 00:41:37,799
Speaker 3: A five centimeters is freaking big? I don't know, Like

851
00:41:37,840 --> 00:41:41,000
Speaker 3: I'm thinking, it's like, it's like it's kind of big

852
00:41:41,080 --> 00:41:43,240
Speaker 3: to get that by accident.

853
00:41:43,280 --> 00:41:45,600
Speaker 2: But regardless, all right, let's change this.

854
00:41:46,080 --> 00:41:48,640
Speaker 1: What if What if it was a little kid that

855
00:41:48,719 --> 00:41:51,759
Speaker 1: you bought chicken nuggets for and they accidentally got a

856
00:41:51,800 --> 00:41:54,480
Speaker 1: bone lodged in their throat? Like I've never thought when

857
00:41:54,480 --> 00:41:57,160
Speaker 1: I gave my kids chicken nuggets that they might accidentally

858
00:41:58,040 --> 00:41:58,880
Speaker 1: choke on a bone.

859
00:41:59,680 --> 00:42:01,760
Speaker 2: Yeah, I think this could be up for debate.

860
00:42:01,800 --> 00:42:04,680
Speaker 3: I mean, if you're still listening to this episode after

861
00:42:04,760 --> 00:42:05,640
Speaker 3: all of that.

862
00:42:05,920 --> 00:42:08,320
Speaker 2: We're gonna be We're gonna be canceled after this. No,

863
00:42:08,440 --> 00:42:09,760
Speaker 2: I mean if you're listen.

864
00:42:09,840 --> 00:42:13,640
Speaker 3: Every week I get messages say especially never you. It's

865
00:42:13,680 --> 00:42:16,480
Speaker 3: always be like say it I said some dumb ship.

866
00:42:16,640 --> 00:42:18,680
Speaker 3: I know, Okay, I'm not I'm not a genius.

867
00:42:18,719 --> 00:42:19,680
Speaker 2: I don't know everything.

868
00:42:19,960 --> 00:42:21,840
Speaker 3: Like I understand, I have a phone in front of you,

869
00:42:21,880 --> 00:42:24,240
Speaker 3: but I like to try to focus on the episode

870
00:42:24,280 --> 00:42:27,600
Speaker 3: and the notes in front of Sorry, if I come across,

871
00:42:27,680 --> 00:42:28,200
Speaker 3: what did.

872
00:42:28,080 --> 00:42:30,640
Speaker 2: Someone say that you were you were not saying right.

873
00:42:31,880 --> 00:42:35,080
Speaker 3: Oh, I don't even want to say it again. It

874
00:42:35,200 --> 00:42:39,480
Speaker 3: was that it was that city in North Carolina. What

875
00:42:39,640 --> 00:42:42,960
Speaker 3: story was it? It was it was months ago, I said, Raleigh.

876
00:42:43,239 --> 00:42:46,319
Speaker 2: It's like Raleigh or whatever. Oh, I do that all

877
00:42:46,320 --> 00:42:48,919
Speaker 2: the time. I don't care. Listen I'm from would say,

878
00:42:48,960 --> 00:42:52,640
Speaker 2: what's what's the difference? And from it? I can't be ever.

879
00:42:55,239 --> 00:42:57,719
Speaker 1: If you ever, if you ever listened to my parents talk,

880
00:42:57,880 --> 00:43:03,080
Speaker 1: it's it's a wonder that that any word is pronounced correctly, honestly, seriously,

881
00:43:03,080 --> 00:43:06,800
Speaker 1: But what words like like pop up would describe having

882
00:43:06,840 --> 00:43:09,440
Speaker 1: an ulcer in his mouth, and he called them ulcers.

883
00:43:09,719 --> 00:43:14,080
Speaker 1: He calls thought they were different than ulcers. And and

884
00:43:14,120 --> 00:43:17,040
Speaker 1: then I before I went to school for all this

885
00:43:17,120 --> 00:43:19,719
Speaker 1: and stuff like I did too, actually, like oh, I'm

886
00:43:19,760 --> 00:43:22,319
Speaker 1: an ulcer in my mouth, like no, just he just

887
00:43:23,200 --> 00:43:23,759
Speaker 1: actually this.

888
00:43:23,760 --> 00:43:25,759
Speaker 3: Weekend when we were with him all weekend, I was like,

889
00:43:25,800 --> 00:43:28,719
Speaker 3: this is definitely where I get my mispronunciation problem from,

890
00:43:28,760 --> 00:43:30,600
Speaker 3: because he doesn't say any word correctly.

891
00:43:30,680 --> 00:43:33,680
Speaker 2: He's nothing. He said cadaver was Cordova.

892
00:43:35,640 --> 00:43:38,840
Speaker 1: Remember when he said he kept saying that he heard

893
00:43:38,880 --> 00:43:41,120
Speaker 1: an ambulance and we didn't know, and he kept saying, like,

894
00:43:41,120 --> 00:43:42,319
Speaker 1: what's that syrene for?

895
00:43:42,480 --> 00:43:45,279
Speaker 2: And We're like, what the fuck is this syne? He

896
00:43:45,360 --> 00:43:46,320
Speaker 2: was saying siren.

897
00:43:46,680 --> 00:43:49,360
Speaker 3: He calls like Biggers, Tigers, tigers.

898
00:43:49,440 --> 00:43:55,320
Speaker 2: He calls Bryce and Scott Stout tsunamis are t tsunamis?

899
00:43:55,360 --> 00:43:56,759
Speaker 2: What else did he say? This week?

900
00:43:56,800 --> 00:44:00,400
Speaker 3: He calls covid Covic. So that's Cone using for.

901
00:44:00,680 --> 00:44:04,120
Speaker 1: Let's you know, every single time Lara thinks about popop.

902
00:44:04,160 --> 00:44:06,799
Speaker 1: Because I've been friends with Lara since since we were

903
00:44:06,840 --> 00:44:10,000
Speaker 1: sixteen years old. You know, one time we were at

904
00:44:10,040 --> 00:44:12,600
Speaker 1: the house and he was like, hey, and I mean

905
00:44:12,640 --> 00:44:13,440
Speaker 1: he was young.

906
00:44:13,520 --> 00:44:16,839
Speaker 2: He was in his fifties when this happened, so it's.

907
00:44:16,800 --> 00:44:19,040
Speaker 1: Not like the old thing could be an excuse, right,

908
00:44:19,560 --> 00:44:22,640
Speaker 1: And he was like, hey, guys, could you stop at

909
00:44:22,680 --> 00:44:25,560
Speaker 1: CBC and get me some suave And we were like

910
00:44:25,719 --> 00:44:29,280
Speaker 1: what and he he meant CBS to get suave.

911
00:44:30,920 --> 00:44:34,319
Speaker 2: Like so, Lara still says it to me to this day.

912
00:44:34,680 --> 00:44:36,439
Speaker 2: She's like, you want to go to CBC and get

913
00:44:36,440 --> 00:44:36,960
Speaker 2: some swaby.

914
00:44:37,680 --> 00:44:41,719
Speaker 3: I mean, he's kind of amazing, the king of mispronunciation melpropisms.

915
00:44:41,760 --> 00:44:44,600
Speaker 3: You have to really you just have to really love

916
00:44:44,680 --> 00:44:46,480
Speaker 3: him for it. It's just why he is. Lou I

917
00:44:46,600 --> 00:44:48,400
Speaker 3: used to have a running note in my phone of

918
00:44:48,520 --> 00:44:50,080
Speaker 3: the things he would say. But then he's sort of

919
00:44:50,120 --> 00:44:52,240
Speaker 3: get mad at us because he said we were making fun.

920
00:44:52,120 --> 00:44:54,879
Speaker 2: Of him all the time, which we are, which we are.

921
00:44:56,480 --> 00:44:58,920
Speaker 2: Good thing he doesn't listen to us anyway. Good thing.

922
00:44:58,920 --> 00:45:00,000
Speaker 2: He doesn't know what a podcast.

923
00:45:00,480 --> 00:45:02,239
Speaker 3: Oh my god, he would never figure out how to

924
00:45:02,280 --> 00:45:02,879
Speaker 3: listen to this.

925
00:45:03,520 --> 00:45:06,520
Speaker 1: No, he still doesn't even know what Instagram is, even

926
00:45:06,560 --> 00:45:08,600
Speaker 1: though he somehow figured out what TikTok is.

927
00:45:08,800 --> 00:45:11,200
Speaker 2: Yeah, it's ridiculous. It's very odd.

928
00:45:11,400 --> 00:45:14,120
Speaker 3: Okay, anyway, if you're still with us. In twenty seventeen,

929
00:45:14,160 --> 00:45:16,560
Speaker 3: this guy had sued the restaurant, the food supplier, and

930
00:45:16,600 --> 00:45:19,960
Speaker 3: the chicken farm, but the Ohio Supreme Court decided that

931
00:45:20,360 --> 00:45:22,319
Speaker 3: none of them were at fault for this, and it's

932
00:45:22,400 --> 00:45:25,120
Speaker 3: common sense that a bone could be in a boneless

933
00:45:25,480 --> 00:45:29,439
Speaker 3: chicken wing, and from the tangent tight ten we did

934
00:45:29,520 --> 00:45:32,879
Speaker 3: about not knowing what those chicken wings are, I think

935
00:45:32,920 --> 00:45:34,160
Speaker 3: we could agree that.

936
00:45:34,800 --> 00:45:36,120
Speaker 2: We don't have any common sense.

937
00:45:36,160 --> 00:45:39,759
Speaker 3: We don't have common sense, definitely, that's I've never had

938
00:45:39,800 --> 00:45:43,239
Speaker 3: common sense never. But I think we could agree that

939
00:45:43,280 --> 00:45:45,520
Speaker 3: this was a preparation error, and I think.

940
00:45:45,400 --> 00:45:51,080
Speaker 2: They should be responsible for it. I don't know, I

941
00:45:51,080 --> 00:45:55,400
Speaker 2: don't know. I am the most perplexed. I'm like questioning myself.

942
00:45:55,680 --> 00:45:59,759
Speaker 1: I'm questioning myself because all these people are like, you're

943
00:45:59,760 --> 00:46:01,279
Speaker 1: a fucking idiot if you didn't know this.

944
00:46:01,400 --> 00:46:03,040
Speaker 2: So now I'm like, all right, maybe I'm just a

945
00:46:03,040 --> 00:46:03,680
Speaker 2: fucking idiot.

946
00:46:03,719 --> 00:46:04,080
Speaker 1: I don't know.

947
00:46:04,400 --> 00:46:11,719
Speaker 3: Well, I think we probably reasonably lost some listeners from there, Which.

948
00:46:11,560 --> 00:46:14,600
Speaker 1: Is this like when when Jessica Simpson didn't know Chicken

949
00:46:14,640 --> 00:46:16,600
Speaker 1: of the Sea was tuna?

950
00:46:16,680 --> 00:46:17,560
Speaker 2: Probably, I mean.

951
00:46:17,440 --> 00:46:20,080
Speaker 1: Do you remember, Like that's how she became really popular

952
00:46:20,080 --> 00:46:22,920
Speaker 1: because she had that TV show with her husband, Nichola

953
00:46:23,000 --> 00:46:27,240
Speaker 1: chet and they were talking about Chicken of the Sea tuna,

954
00:46:27,400 --> 00:46:28,800
Speaker 1: and she thought it was chicken.

955
00:46:28,880 --> 00:46:32,160
Speaker 3: She didn't realize that it was fish. Listen I've never

956
00:46:32,400 --> 00:46:37,040
Speaker 3: made boneless chicken wings. I only ate them a couple

957
00:46:37,080 --> 00:46:40,160
Speaker 3: of times. I'm not sitting there thinking about the process,

958
00:46:40,440 --> 00:46:41,360
Speaker 3: which there may stopped.

959
00:46:41,600 --> 00:46:46,200
Speaker 1: Could we just stop talking about damn chicken. Let's talk

960
00:46:46,200 --> 00:46:50,359
Speaker 1: about people's feet melting off. A forty two year old

961
00:46:50,440 --> 00:46:53,959
Speaker 1: Belgian tourist was visiting Death Valley National Park last week.

962
00:46:54,320 --> 00:46:57,160
Speaker 1: The temperature was one hundred and twenty three degrees fahrenheit,

963
00:46:57,200 --> 00:47:00,360
Speaker 1: which is about fifty point five degrees celsia is for

964
00:47:00,400 --> 00:47:06,000
Speaker 1: the international folk listening. So while walking in the sand dunes,

965
00:47:06,120 --> 00:47:10,080
Speaker 1: this guy loses his shoes, which they don't know how

966
00:47:10,160 --> 00:47:13,880
Speaker 1: they because because of I'm glad that this guy, like

967
00:47:13,960 --> 00:47:16,400
Speaker 1: his feet literally melted off of his body.

968
00:47:16,480 --> 00:47:23,160
Speaker 3: And you're like laughing, I'm listen. I feel bad for him.

969
00:47:23,280 --> 00:47:26,520
Speaker 3: But he was wearing flip flops, which, as discussed prior,

970
00:47:26,600 --> 00:47:28,920
Speaker 3: should be illegal for men to wear flip flops.

971
00:47:29,040 --> 00:47:30,760
Speaker 2: For usha. I'd been wearing them anyway.

972
00:47:31,239 --> 00:47:34,640
Speaker 3: But who wears them in the desert, I don't know.

973
00:47:35,200 --> 00:47:38,200
Speaker 1: So Paul sent us this story actually, and Paul lives

974
00:47:38,239 --> 00:47:40,680
Speaker 1: in the desert, and I was just saying this when

975
00:47:40,680 --> 00:47:42,959
Speaker 1: we went when we just went on our trip out there,

976
00:47:43,040 --> 00:47:47,160
Speaker 1: I had we all wore combat boots or hiking boots

977
00:47:47,160 --> 00:47:49,360
Speaker 1: out on all this stuff.

978
00:47:49,760 --> 00:47:54,800
Speaker 2: Shild that's responsible. So let's just put this out there. Okay.

979
00:47:55,000 --> 00:47:58,080
Speaker 1: We already talked about a story that two people died

980
00:47:58,080 --> 00:48:01,480
Speaker 1: when they were visiting a site called Death Rocks. Now

981
00:48:01,560 --> 00:48:05,480
Speaker 1: you have this guy that's visiting a site called death Valley.

982
00:48:05,680 --> 00:48:08,600
Speaker 1: Maybe if the place has death in the name, it's

983
00:48:08,680 --> 00:48:12,840
Speaker 1: because people die there and it might not be safe

984
00:48:12,840 --> 00:48:14,520
Speaker 1: and you should take extra precautions.

985
00:48:14,560 --> 00:48:15,760
Speaker 2: I don't know, I'm just saying.

986
00:48:15,880 --> 00:48:20,120
Speaker 3: I was also thinking they were getting on this whole

987
00:48:20,160 --> 00:48:22,279
Speaker 3: tangent in the article about how they've had the most

988
00:48:22,280 --> 00:48:24,680
Speaker 3: consecutive days over one hundred and twenty degrees and all

989
00:48:24,719 --> 00:48:27,560
Speaker 3: that stuff. In July is always the hottest recorded month there.

990
00:48:28,400 --> 00:48:32,759
Speaker 3: Maybe we shouldn't allow visitors from a certain time frame

991
00:48:32,840 --> 00:48:35,200
Speaker 3: if it's that hot, because they seem to have the

992
00:48:35,239 --> 00:48:37,440
Speaker 3: most problems during the month of July.

993
00:48:38,560 --> 00:48:41,120
Speaker 1: A lot of it's just people like I want to

994
00:48:41,160 --> 00:48:44,239
Speaker 1: see what that feels like. But you have to think that.

995
00:48:44,960 --> 00:48:47,040
Speaker 1: I mean, when we go down the shore at our beach,

996
00:48:48,640 --> 00:48:51,680
Speaker 1: the sand is fricking hot. It hurts like you can't

997
00:48:51,680 --> 00:48:53,920
Speaker 1: even walk on it. Sometimes it's so hot.

998
00:48:54,200 --> 00:48:57,800
Speaker 3: No, and I think we talked about last year a story.

999
00:48:58,640 --> 00:48:59,279
Speaker 2: I'm trying to think.

1000
00:49:00,000 --> 00:49:03,080
Speaker 3: I think we talked about a story last year where

1001
00:49:04,000 --> 00:49:06,640
Speaker 3: something similar happened. But then we got in a tangent

1002
00:49:06,680 --> 00:49:09,760
Speaker 3: about how they make these specific little booties for dogs

1003
00:49:09,800 --> 00:49:11,879
Speaker 3: to wear outside because it's too wet.

1004
00:49:11,920 --> 00:49:12,719
Speaker 2: Yeah, because feet.

1005
00:49:13,719 --> 00:49:17,600
Speaker 1: Yeah, they were saying that the sidewalk in Arizona and

1006
00:49:17,640 --> 00:49:20,959
Speaker 1: stuff is so hot. Well, we were probably just talking

1007
00:49:21,040 --> 00:49:25,760
Speaker 1: about the hot temperature last year and like, yeah, dogs

1008
00:49:25,800 --> 00:49:28,080
Speaker 1: are getting the pads of their feet burned. They're not

1009
00:49:28,160 --> 00:49:30,480
Speaker 1: even supposed to walk their dog in the morning. The

1010
00:49:30,520 --> 00:49:33,759
Speaker 1: sidewalks too hot. But the sand is the same way.

1011
00:49:34,640 --> 00:49:37,000
Speaker 1: That's why when you visit a place, you really need

1012
00:49:37,080 --> 00:49:40,840
Speaker 1: to look into what if you're not used to the environment,

1013
00:49:40,920 --> 00:49:44,520
Speaker 1: because if you do, you know that if you had

1014
00:49:44,719 --> 00:49:46,600
Speaker 1: We were just talking about this with Louly with the

1015
00:49:46,640 --> 00:49:49,200
Speaker 1: temperature of the water coming out of the faucet when

1016
00:49:49,200 --> 00:49:52,520
Speaker 1: we were in the mountains the other day. If it's

1017
00:49:52,600 --> 00:49:57,200
Speaker 1: one hundred and fifty degree water, and most humans that

1018
00:49:57,280 --> 00:50:00,239
Speaker 1: touch that water within three seconds can get a third

1019
00:50:00,280 --> 00:50:05,080
Speaker 1: degree burn. It's it's like that, it's that fast. Yeah,

1020
00:50:05,120 --> 00:50:08,759
Speaker 1: So if the temperature and so if the temperatures one

1021
00:50:08,840 --> 00:50:12,440
Speaker 1: hundred and twenty degrees. You would have to be summersed

1022
00:50:12,480 --> 00:50:14,719
Speaker 1: under that water for five minutes in order to get

1023
00:50:14,719 --> 00:50:18,520
Speaker 1: a severe burn. Right, But if you're thinking about the

1024
00:50:18,560 --> 00:50:21,520
Speaker 1: temperatures outside one hundred and twenty three degrees, you know

1025
00:50:21,600 --> 00:50:24,120
Speaker 1: the temperature the sand's always going to be even hotter

1026
00:50:25,000 --> 00:50:29,160
Speaker 1: because of the sun beating directly on it. He probably

1027
00:50:29,200 --> 00:50:32,200
Speaker 1: walked on there with the flip flops and they probably melted.

1028
00:50:32,480 --> 00:50:32,800
Speaker 2: Really.

1029
00:50:32,960 --> 00:50:36,360
Speaker 3: Yeah, they couldn't figure out where the shoes went because

1030
00:50:36,680 --> 00:50:41,120
Speaker 3: of like of language barrier. I almost said barrier language

1031
00:50:41,200 --> 00:50:43,840
Speaker 3: because that because Bombo.

1032
00:50:43,960 --> 00:50:47,480
Speaker 1: Yeah, yeah, because one of my one of my friends

1033
00:50:47,520 --> 00:50:49,319
Speaker 1: who is one of the residents I used to work

1034
00:50:49,360 --> 00:50:52,440
Speaker 1: with at the hospital, was from Italy and he always

1035
00:50:52,520 --> 00:50:55,920
Speaker 1: used to say everything backwards and he used to call

1036
00:50:55,960 --> 00:50:58,360
Speaker 1: it barrier language instead of language barrier.

1037
00:50:58,400 --> 00:51:01,200
Speaker 2: So now we always say it because he said it.

1038
00:51:01,360 --> 00:51:03,480
Speaker 3: Yeah, and I almost legit used it in this skin.

1039
00:51:03,760 --> 00:51:05,480
Speaker 1: I do it all the time, and then I'm like, wait,

1040
00:51:05,520 --> 00:51:07,239
Speaker 1: what's the right way to say it? I don't even

1041
00:51:07,280 --> 00:51:08,160
Speaker 1: remember anymore.

1042
00:51:09,160 --> 00:51:12,439
Speaker 3: Yeah, I mean I feel horrible obviously, I just.

1043
00:51:13,440 --> 00:51:15,719
Speaker 1: And then they they wanted to metavac them and they

1044
00:51:15,719 --> 00:51:19,239
Speaker 1: couldn't because the temperature was so hot they couldn't they

1045
00:51:19,239 --> 00:51:21,839
Speaker 1: didn't feel comfortable flying the helicopter.

1046
00:51:22,200 --> 00:51:24,399
Speaker 3: No, so it took kind of a while to get

1047
00:51:24,480 --> 00:51:26,319
Speaker 3: him to the hospital, and then he had to go

1048
00:51:26,320 --> 00:51:30,960
Speaker 3: to the hospital in Vegas. And it sucks, like oh, so,

1049
00:51:31,200 --> 00:51:36,880
Speaker 3: third degree burns are fairly significant. So think about usually

1050
00:51:37,120 --> 00:51:40,319
Speaker 3: a sunburn, a normal sunburn is like a first degree burn.

1051
00:51:40,440 --> 00:51:42,360
Speaker 3: And then when you get a really really bad sunburn,

1052
00:51:42,400 --> 00:51:45,319
Speaker 3: when it blisters or when you pour boiling water on

1053
00:51:45,400 --> 00:51:47,440
Speaker 3: you by accident or something, that would be a second

1054
00:51:47,440 --> 00:51:48,040
Speaker 3: degree burn.

1055
00:51:48,400 --> 00:51:49,760
Speaker 2: But a third degree burn.

1056
00:51:49,600 --> 00:51:51,640
Speaker 1: Goes all the way through your skin, and then it

1057
00:51:51,680 --> 00:51:54,760
Speaker 1: can go into your muscle and your tendons and even

1058
00:51:54,920 --> 00:51:55,600
Speaker 1: to your bone.

1059
00:51:55,640 --> 00:51:57,000
Speaker 2: Like it's really really bad.

1060
00:51:57,760 --> 00:52:02,400
Speaker 1: He's probably if if he doesn't need an amputation, he

1061
00:52:02,480 --> 00:52:07,720
Speaker 1: probably needs serious skin grafting. Like its it's serious. It's

1062
00:52:07,800 --> 00:52:11,000
Speaker 1: gonna like affect the rest of his life, not having

1063
00:52:11,080 --> 00:52:14,040
Speaker 1: two feet that work properly, you know, Yeah, it's gonna

1064
00:52:14,160 --> 00:52:16,520
Speaker 1: it might almost be better to just get them amputated

1065
00:52:16,560 --> 00:52:21,680
Speaker 1: and get prosthetics with all that, because when you get

1066
00:52:21,760 --> 00:52:24,360
Speaker 1: grafts and stuff that, you know, you could get contraction,

1067
00:52:24,520 --> 00:52:28,480
Speaker 1: which is the skin gets really thickened and fibrotic and

1068
00:52:28,520 --> 00:52:30,920
Speaker 1: you don't have a good range of motion and you

1069
00:52:31,080 --> 00:52:34,319
Speaker 1: kind of need that with your feet. Yeah, so I'm

1070
00:52:34,320 --> 00:52:36,880
Speaker 1: not sure what they're gonna do, but it's terrible.

1071
00:52:38,360 --> 00:52:41,520
Speaker 3: In Australia, a surfer was attacked by a ten foot

1072
00:52:41,520 --> 00:52:44,719
Speaker 3: great white shark. So a wave had carried him to shore,

1073
00:52:44,800 --> 00:52:47,440
Speaker 3: where an off duty police officer had saw that his

1074
00:52:47,560 --> 00:52:49,560
Speaker 3: leg had been bitten and he was able to take

1075
00:52:49,600 --> 00:52:52,600
Speaker 3: it dog leash and use it as a tourniquet to

1076
00:52:52,680 --> 00:52:54,680
Speaker 3: try to help him in the moment. But then shortly

1077
00:52:54,719 --> 00:52:56,600
Speaker 3: after his leg washed ashore.

1078
00:52:58,080 --> 00:53:02,000
Speaker 1: Yeah, and so they the people that this was all

1079
00:53:02,040 --> 00:53:04,360
Speaker 1: really good for him, that someone was right there to

1080
00:53:04,400 --> 00:53:06,920
Speaker 1: tourniquet him, because he would have died from this for sure.

1081
00:53:07,920 --> 00:53:10,000
Speaker 1: He ended up getting to the hospital, okay, And then

1082
00:53:10,040 --> 00:53:13,000
Speaker 1: when the people found the leg. I don't think the

1083
00:53:13,120 --> 00:53:16,120
Speaker 1: leg washed up until he was already at the hospital, right.

1084
00:53:16,880 --> 00:53:18,960
Speaker 1: It seemed like it washed up a little bit later.

1085
00:53:20,000 --> 00:53:22,680
Speaker 1: The people that were there, I don't know if they

1086
00:53:22,680 --> 00:53:25,320
Speaker 1: were living in the town or whatever, they took the

1087
00:53:25,440 --> 00:53:26,560
Speaker 1: leg to the hospital.

1088
00:53:26,680 --> 00:53:28,319
Speaker 3: Yeah, they put it on ice and brought it to

1089
00:53:28,320 --> 00:53:30,600
Speaker 3: the hospital. I think they were hoping that the surgeon

1090
00:53:30,680 --> 00:53:33,560
Speaker 3: would be able to reattach it. But the most recent

1091
00:53:33,800 --> 00:53:35,799
Speaker 3: article updates don't seem like that.

1092
00:53:36,440 --> 00:53:38,680
Speaker 2: It said they yeah, they said it wasn't a possibility.

1093
00:53:38,840 --> 00:53:41,320
Speaker 2: So it's just really sad.

1094
00:53:41,400 --> 00:53:44,120
Speaker 3: You know, we've been talking about a lot of shark

1095
00:53:44,120 --> 00:53:46,000
Speaker 3: atac stories too, and you know a lot of these

1096
00:53:46,120 --> 00:53:49,640
Speaker 3: involved surfers because they're like more, they're out further in

1097
00:53:49,680 --> 00:53:52,959
Speaker 3: the ocean than I think the lifeguards are recommending. So this,

1098
00:53:52,960 --> 00:53:55,799
Speaker 3: this just happens and it's horrible. And now this guy

1099
00:53:55,920 --> 00:53:57,520
Speaker 3: lost a leg. I know it was a big deal.

1100
00:53:57,560 --> 00:53:59,520
Speaker 3: He was out there surfing because I guess a couple

1101
00:53:59,520 --> 00:54:01,480
Speaker 3: of months ago he had fractured his neck and that

1102
00:54:01,560 --> 00:54:03,400
Speaker 3: prevented him from competing for a while.

1103
00:54:04,680 --> 00:54:07,400
Speaker 2: They're still telling us there's not an increase in shark attacks.

1104
00:54:09,120 --> 00:54:12,960
Speaker 3: I guess you just don't know, because especially with the

1105
00:54:13,320 --> 00:54:15,520
Speaker 3: more and more stories like this coming out, and with

1106
00:54:15,640 --> 00:54:17,960
Speaker 3: social media the way it is, it's like every single

1107
00:54:17,960 --> 00:54:19,319
Speaker 3: one's gonna be online now.

1108
00:54:19,480 --> 00:54:22,600
Speaker 1: I feel like we've had so many and we've talked

1109
00:54:22,640 --> 00:54:25,320
Speaker 1: about so many on this podcast, and there's at least

1110
00:54:25,400 --> 00:54:27,160
Speaker 1: one or two a week that I'm like, we talk

1111
00:54:27,200 --> 00:54:29,879
Speaker 1: about shark attacks all the time. We're not reporting every

1112
00:54:29,880 --> 00:54:33,280
Speaker 1: single one that happens. It's it's like reporting car accidents

1113
00:54:33,320 --> 00:54:35,680
Speaker 1: at this point. Yeah, no, it's definitely not that high.

1114
00:54:35,680 --> 00:54:40,239
Speaker 1: But it just this is the problem with the news

1115
00:54:40,280 --> 00:54:42,360
Speaker 1: because you don't you don't really know what's going on

1116
00:54:42,440 --> 00:54:45,040
Speaker 1: in real life because it's what's presented to you, and

1117
00:54:45,520 --> 00:54:47,600
Speaker 1: they could really make a big deal out of anything

1118
00:54:47,640 --> 00:54:50,160
Speaker 1: that's not really a big deal. It just for me,

1119
00:54:50,480 --> 00:54:52,960
Speaker 1: it feels like from the time I was a kid,

1120
00:54:53,040 --> 00:54:55,560
Speaker 1: I saw Jaws and stuff, and he never ever heard

1121
00:54:55,600 --> 00:55:00,719
Speaker 1: of anyone that happening to anyone in real life. Remember, Mom,

1122
00:55:00,760 --> 00:55:03,400
Speaker 1: I'm always just being like, is this fake? It doesn't happen,

1123
00:55:04,840 --> 00:55:07,359
Speaker 1: But I always obviously it has happened, That's why there

1124
00:55:07,400 --> 00:55:08,480
Speaker 1: was a movie made on it.

1125
00:55:08,520 --> 00:55:09,759
Speaker 2: But I mean, I always.

1126
00:55:09,520 --> 00:55:13,279
Speaker 3: Try to think though about, like momm didn't know Ted

1127
00:55:13,320 --> 00:55:15,759
Speaker 3: Bundy was happening when it was happening great, which is

1128
00:55:15,800 --> 00:55:18,760
Speaker 3: one of the most prolific serial killers of this time.

1129
00:55:18,840 --> 00:55:22,200
Speaker 1: So there was no social media, there was no twenty

1130
00:55:22,239 --> 00:55:27,320
Speaker 1: four hour news, There was no people talking in Florida,

1131
00:55:27,400 --> 00:55:29,880
Speaker 1: what's happening in Pennsylvania like that kind of stuff.

1132
00:55:29,920 --> 00:55:30,600
Speaker 2: As much so.

1133
00:55:30,719 --> 00:55:34,440
Speaker 3: Also people working on the inside, like investigators and journalists

1134
00:55:34,560 --> 00:55:37,080
Speaker 3: and everything. We're not journalists, but you know law enforcement

1135
00:55:37,920 --> 00:55:40,320
Speaker 3: people that are looking at a case. I think before

1136
00:55:41,480 --> 00:55:44,960
Speaker 3: you know took the vow of you know, secrecy a little.

1137
00:55:45,200 --> 00:55:47,120
Speaker 3: I don't know what I'm trying to say, they weren't

1138
00:55:47,160 --> 00:55:50,839
Speaker 3: as inclined to, you know, drop details about a case

1139
00:55:50,880 --> 00:55:53,160
Speaker 3: to like depress or on TikTok or something, when now

1140
00:55:53,160 --> 00:55:57,000
Speaker 3: it's like everybody once they're fifteen minutes. So people on

1141
00:55:57,080 --> 00:55:59,319
Speaker 3: the inside are now more likely to leave details of

1142
00:55:59,320 --> 00:56:02,320
Speaker 3: a case because they just want a little pop of attention,

1143
00:56:02,560 --> 00:56:04,839
Speaker 3: even though most of them lose their job, but they

1144
00:56:04,840 --> 00:56:16,080
Speaker 3: don't see it that way. So this episode is brought

1145
00:56:16,120 --> 00:56:17,440
Speaker 3: to you by the Grosser Room.

1146
00:56:17,960 --> 00:56:20,719
Speaker 1: Hi, guys, So you definitely should join the Grosser Room.

1147
00:56:20,960 --> 00:56:22,840
Speaker 1: We just had a sal that finish, so we'll have

1148
00:56:22,880 --> 00:56:24,640
Speaker 1: another one in a couple of months, but you can

1149
00:56:24,680 --> 00:56:26,600
Speaker 1: get in now for only five ninety nine a month,

1150
00:56:26,680 --> 00:56:28,520
Speaker 1: and I think you should do that because you could

1151
00:56:28,560 --> 00:56:30,439
Speaker 1: try it out and see if you like it, and

1152
00:56:30,800 --> 00:56:32,799
Speaker 1: I guarantee you're not gonna want to leave because we

1153
00:56:32,960 --> 00:56:37,600
Speaker 1: just have so many cool stories going on today. We

1154
00:56:37,640 --> 00:56:40,279
Speaker 1: didn't really talk about this on this episode, but the

1155
00:56:40,400 --> 00:56:45,919
Speaker 1: Gypsy Rose Blanchard crime scene photos were leaked of her mother,

1156
00:56:46,080 --> 00:56:48,560
Speaker 1: Dede Blancher, even though I'm not really sure if they

1157
00:56:48,560 --> 00:56:51,640
Speaker 1: were leaked or they were just resubmitted, but regardless, I

1158
00:56:51,719 --> 00:56:53,799
Speaker 1: posted them in the gross room and we talked about

1159
00:56:53,840 --> 00:56:56,560
Speaker 1: what we saw in the photographs, and people in the

1160
00:56:56,600 --> 00:56:58,839
Speaker 1: gross room were writing such great comments. Did you see

1161
00:56:58,880 --> 00:57:03,120
Speaker 1: the one about that the Facebook posts when she went

1162
00:57:03,200 --> 00:57:06,000
Speaker 1: missing of everyone like freaking out because she was missing

1163
00:57:06,040 --> 00:57:07,359
Speaker 1: but they didn't know where she was.

1164
00:57:07,800 --> 00:57:08,080
Speaker 2: Yeah.

1165
00:57:08,120 --> 00:57:10,680
Speaker 3: So I know you're not as familiar with the intimate

1166
00:57:10,680 --> 00:57:13,120
Speaker 3: details of this case as me, but basically, like after

1167
00:57:13,160 --> 00:57:15,080
Speaker 3: they killed the mom, they made a Facebook post that

1168
00:57:15,080 --> 00:57:18,160
Speaker 3: said the bitch is dead. And apparently all the Facebook

1169
00:57:18,160 --> 00:57:20,520
Speaker 3: posts they made are still live on this account. Like

1170
00:57:20,600 --> 00:57:23,200
Speaker 3: nobody's gone in to delete this Facebook account, so yeah,

1171
00:57:23,200 --> 00:57:26,040
Speaker 3: could still go on and see them and see everybody's reactions.

1172
00:57:26,080 --> 00:57:26,960
Speaker 2: And I was.

1173
00:57:26,960 --> 00:57:29,160
Speaker 1: Reading it last night, I was like, this is insane,

1174
00:57:29,280 --> 00:57:31,680
Speaker 1: but this is what's awesome about the grocerroom because I

1175
00:57:31,760 --> 00:57:33,960
Speaker 1: never knew that. And then someone that's a member is

1176
00:57:34,000 --> 00:57:37,160
Speaker 1: just like, hey, like look at this, and you're like, okay, cool.

1177
00:57:37,480 --> 00:57:42,520
Speaker 1: And honestly, I was really against the mom and just Okay,

1178
00:57:42,640 --> 00:57:45,040
Speaker 1: she should definitely be dead. But after reading a lot

1179
00:57:45,040 --> 00:57:49,080
Speaker 1: of the comments of people saying that they said that

1180
00:57:49,120 --> 00:57:51,760
Speaker 1: she was very manipulative too, and all this stuff, and

1181
00:57:52,160 --> 00:57:53,840
Speaker 1: it kind of like makes me think a little bit

1182
00:57:53,840 --> 00:57:54,760
Speaker 1: differently about it.

1183
00:57:54,800 --> 00:57:57,480
Speaker 2: So it's really cool anyway.

1184
00:57:58,040 --> 00:58:00,439
Speaker 1: So yeah, if you get into the Grocerroom now ninety

1185
00:58:00,520 --> 00:58:02,760
Speaker 1: nine a month, check it out, check out the videos.

1186
00:58:02,800 --> 00:58:06,440
Speaker 1: You'll have access to everything since we started in twenty nineteen,

1187
00:58:06,520 --> 00:58:08,760
Speaker 1: so there's a lot to keep you busy.

1188
00:58:08,840 --> 00:58:11,960
Speaker 3: He had nearly five years worth of content. It's so crazy.

1189
00:58:12,000 --> 00:58:14,640
Speaker 3: But you can visit the Grossroom dot com for more

1190
00:58:14,680 --> 00:58:15,960
Speaker 3: info and to sign up.

1191
00:58:20,200 --> 00:58:21,800
Speaker 2: All right, let's get started with true crime.

1192
00:58:22,400 --> 00:58:25,080
Speaker 3: Let's talk about this Ellen Greenberg case, which is kind

1193
00:58:25,080 --> 00:58:27,400
Speaker 3: of a huge case near our area because it happened

1194
00:58:27,400 --> 00:58:31,880
Speaker 3: in Philly. So in January twenty eleven, this teacher from Philadelphia,

1195
00:58:31,920 --> 00:58:34,760
Speaker 3: her name was Ellen Greenberg. She was found dead by

1196
00:58:34,800 --> 00:58:37,600
Speaker 3: her fiance and their condo, which was in an apartment

1197
00:58:37,640 --> 00:58:42,320
Speaker 3: building near here. So this guy comes home and the

1198
00:58:42,440 --> 00:58:44,960
Speaker 3: door was locked to their apartment. It was dead bolded

1199
00:58:44,960 --> 00:58:47,840
Speaker 3: from the inside and he had to break in to

1200
00:58:47,880 --> 00:58:50,640
Speaker 3: get into the house. And when he gets into the apartment,

1201
00:58:50,880 --> 00:58:53,800
Speaker 3: he finds that she was stabbed to death twenty times

1202
00:58:53,840 --> 00:58:56,040
Speaker 3: and the knife was embedded in her chest.

1203
00:58:57,200 --> 00:59:00,240
Speaker 1: Yeah, so this the reason that this case I'm I mean,

1204
00:59:00,280 --> 00:59:02,480
Speaker 1: if you guys never heard about it and you're listening

1205
00:59:02,600 --> 00:59:06,680
Speaker 1: right now, you think, okay, someone killed her, right, And

1206
00:59:07,240 --> 00:59:11,760
Speaker 1: this case is just so complicated because what happened was

1207
00:59:12,000 --> 00:59:15,600
Speaker 1: her body went to the Medical Examiner's office in Philly,

1208
00:59:15,640 --> 00:59:18,760
Speaker 1: which I actually interned out so kind of know how things.

1209
00:59:18,680 --> 00:59:19,680
Speaker 2: Work there a little bit.

1210
00:59:20,440 --> 00:59:26,200
Speaker 1: And they originally ruled her death at the preliminary autopsy,

1211
00:59:26,440 --> 00:59:29,160
Speaker 1: so that's when they first do it within the first

1212
00:59:29,160 --> 00:59:33,000
Speaker 1: twenty four hours of getting the body, and they originally

1213
00:59:33,760 --> 00:59:37,720
Speaker 1: said that it was a homicide. But then this is

1214
00:59:37,760 --> 00:59:42,600
Speaker 1: where things get weird. A couple days later, the medical

1215
00:59:42,640 --> 00:59:46,840
Speaker 1: examiner changed the matter of death from homicide to suicide.

1216
00:59:47,960 --> 00:59:50,920
Speaker 3: Yeah, so there was a bunch of weird circumstantial things.

1217
00:59:51,480 --> 00:59:55,600
Speaker 3: So they had a balcony in their apartment, and it

1218
00:59:55,680 --> 00:59:57,880
Speaker 3: had just snowed that morning, which is why she was

1219
00:59:58,000 --> 01:00:00,520
Speaker 3: I think this happened in the afternoon, right, So normally

1220
01:00:00,520 --> 01:00:02,360
Speaker 3: she wouldn't have been home from work, but she got

1221
01:00:02,360 --> 01:00:04,880
Speaker 3: dismissed from her school because she was a teacher, So

1222
01:00:04,920 --> 01:00:08,240
Speaker 3: she got dismissed from school early, and there was snow

1223
01:00:08,320 --> 01:00:10,800
Speaker 3: on the back patio where their balcony was, and they

1224
01:00:10,840 --> 01:00:13,200
Speaker 3: determined that nobody could have come in through that way

1225
01:00:13,600 --> 01:00:16,320
Speaker 3: because the door wasn't open and there was no disturbance

1226
01:00:16,400 --> 01:00:18,919
Speaker 3: or footprints or anything in the snow. And I guess

1227
01:00:18,920 --> 01:00:21,080
Speaker 3: by the time she was found dead, it had stopped snowing,

1228
01:00:21,080 --> 01:00:23,280
Speaker 3: so it's not even like snow could like new snow

1229
01:00:23,320 --> 01:00:26,520
Speaker 3: could have fallen and replaced that. And then there was

1230
01:00:26,560 --> 01:00:30,040
Speaker 3: the fact that they have this surveillance footage of the fiance,

1231
01:00:30,320 --> 01:00:32,840
Speaker 3: you know, breaking into the house because he couldn't get

1232
01:00:32,880 --> 01:00:35,960
Speaker 3: in the door. So she all signs pointed that she

1233
01:00:36,120 --> 01:00:40,320
Speaker 3: was alone, but her wounds were really confusing because it

1234
01:00:40,320 --> 01:00:42,800
Speaker 3: didn't seem like somebody could do that to themselves.

1235
01:00:43,840 --> 01:00:46,760
Speaker 1: So there's especially in the grocery room, we have plenty

1236
01:00:46,760 --> 01:00:50,080
Speaker 1: of cases of people who kill themselves by stabbing themselves

1237
01:00:50,320 --> 01:00:54,520
Speaker 1: in the chest, right that's people do that. That happens.

1238
01:00:54,360 --> 01:00:57,520
Speaker 1: It sounds crazy because you're like, why would I you know,

1239
01:00:57,600 --> 01:01:00,680
Speaker 1: you think about stabbing yourself as terrible, but people do it,

1240
01:01:01,520 --> 01:01:03,800
Speaker 1: especially when they're desperate and they and they really want

1241
01:01:03,840 --> 01:01:08,840
Speaker 1: to die. So what came from the autopsy report, and

1242
01:01:08,880 --> 01:01:11,360
Speaker 1: this is why it's so crucial to really document what

1243
01:01:11,400 --> 01:01:15,200
Speaker 1: you see at the autopsy perfectly, because once the body

1244
01:01:15,320 --> 01:01:18,680
Speaker 1: is gone and it goes to the funeral home, and

1245
01:01:18,720 --> 01:01:22,080
Speaker 1: in a lot of cases it's cremated, it's like there's

1246
01:01:22,160 --> 01:01:26,040
Speaker 1: there's only so much. And with this case, I'm sure

1247
01:01:26,080 --> 01:01:29,200
Speaker 1: they took photographs of the wounds and I'm sure they

1248
01:01:29,280 --> 01:01:33,919
Speaker 1: documented everything that they saw, and they said that one

1249
01:01:33,920 --> 01:01:39,040
Speaker 1: of the knife wounds had punctured her vertebral column and

1250
01:01:39,080 --> 01:01:46,000
Speaker 1: her spinal canal, and doctors really believe that if she

1251
01:01:46,160 --> 01:01:50,280
Speaker 1: had gotten that injury while she was alive and stabbing herself,

1252
01:01:50,920 --> 01:01:53,960
Speaker 1: she wouldn't have been able to use her arms anymore.

1253
01:01:54,200 --> 01:01:56,520
Speaker 1: So where is that on the body where you just

1254
01:01:56,520 --> 01:02:00,040
Speaker 1: said she oh, like her spinal cord is it?

1255
01:02:00,040 --> 01:02:00,840
Speaker 2: It's in the back.

1256
01:02:01,440 --> 01:02:03,760
Speaker 1: So she had stab wounds in the back and in

1257
01:02:03,800 --> 01:02:08,720
Speaker 1: her chest and one of them punctured her. So you know,

1258
01:02:08,720 --> 01:02:11,680
Speaker 1: if you get a spinal cord injury, yeah, right, and

1259
01:02:11,720 --> 01:02:15,320
Speaker 1: you're paralyzed from the waist down, Well, you're paralyzed from

1260
01:02:15,400 --> 01:02:19,040
Speaker 1: wherever that spinal cord injury occurred. So it if occurs

1261
01:02:19,040 --> 01:02:22,240
Speaker 1: in your neck, it's anything below that won't work. If

1262
01:02:22,280 --> 01:02:25,480
Speaker 1: it's your lower back, it's anything below that won't work right.

1263
01:02:26,680 --> 01:02:27,480
Speaker 2: She didn't.

1264
01:02:27,880 --> 01:02:31,040
Speaker 1: She didn't sever it, but she she nicked it enough

1265
01:02:31,160 --> 01:02:33,640
Speaker 1: that she wouldn't have been able to use her arms

1266
01:02:34,440 --> 01:02:38,640
Speaker 1: normally at all. But the final thing that caused her

1267
01:02:38,640 --> 01:02:41,520
Speaker 1: to die, because so many of those stab wounds were superficial,

1268
01:02:42,160 --> 01:02:44,200
Speaker 1: the thing that caused her to die was the one

1269
01:02:44,280 --> 01:02:48,400
Speaker 1: in her chest. So if she stabbed herself in the

1270
01:02:48,520 --> 01:02:51,800
Speaker 1: neck and was unable to move her arms, then how

1271
01:02:51,920 --> 01:02:54,520
Speaker 1: was she able to continue to stab herself in the

1272
01:02:54,600 --> 01:02:58,520
Speaker 1: chest in order? And so she bled to death and died.

1273
01:02:59,000 --> 01:03:01,439
Speaker 1: It just there's a lot of different things that don't

1274
01:03:01,440 --> 01:03:03,960
Speaker 1: add up. And then the way her body was found

1275
01:03:04,120 --> 01:03:06,960
Speaker 1: was a little weird. She had this blood that it

1276
01:03:07,040 --> 01:03:10,480
Speaker 1: made it look like her body was moved. So you

1277
01:03:10,480 --> 01:03:12,880
Speaker 1: can go back and forth with this case. When you

1278
01:03:12,960 --> 01:03:16,920
Speaker 1: say that that just based on the evidence alone at

1279
01:03:16,920 --> 01:03:22,720
Speaker 1: the autopsy, it sounds sauce, as our kids would say.

1280
01:03:22,280 --> 01:03:25,880
Speaker 1: But then on the other hand, she has a history

1281
01:03:25,880 --> 01:03:31,360
Speaker 1: of mental illness. She had Google searches prior to getting treatment,

1282
01:03:31,520 --> 01:03:34,520
Speaker 1: so she was on medications for depression and anxiety.

1283
01:03:34,520 --> 01:03:36,440
Speaker 3: Well, the important thing to note too is she had

1284
01:03:36,480 --> 01:03:39,880
Speaker 3: been on and off several psychiatric medications.

1285
01:03:40,400 --> 01:03:43,760
Speaker 1: Yeah, so and she was she was engaged to this

1286
01:03:43,800 --> 01:03:46,360
Speaker 1: guy and having a lot of anxiety about the wedding

1287
01:03:46,480 --> 01:03:49,760
Speaker 1: and this and that, and so prior to getting this

1288
01:03:49,800 --> 01:03:53,440
Speaker 1: psychiatric treatment with these drugs, she had Google searches that

1289
01:03:53,520 --> 01:04:00,800
Speaker 1: included suffocation, suicide methods and girl getting electricuted to death

1290
01:04:00,840 --> 01:04:07,520
Speaker 1: in a bathtub, quick suicide, euthanasia, painless suicide. So when

1291
01:04:07,560 --> 01:04:11,440
Speaker 1: you are doing an investigation, a homicide suicide investigation and

1292
01:04:11,480 --> 01:04:16,400
Speaker 1: these people have a history of mental illness, suicidal ideations

1293
01:04:16,480 --> 01:04:21,360
Speaker 1: talking about suicide, it just really supports that cause of

1294
01:04:21,400 --> 01:04:24,040
Speaker 1: death or that manner of death more right.

1295
01:04:24,360 --> 01:04:28,200
Speaker 2: Yeah, But then there's so many details of this case.

1296
01:04:28,240 --> 01:04:30,600
Speaker 1: We did a two part high profile death disseection on

1297
01:04:30,640 --> 01:04:32,880
Speaker 1: this in the gross Room that was like a couple

1298
01:04:32,960 --> 01:04:33,439
Speaker 1: years ago.

1299
01:04:33,480 --> 01:04:35,840
Speaker 3: Now, yeah, I think too, at least it was a

1300
01:04:35,880 --> 01:04:36,520
Speaker 3: while ago.

1301
01:04:37,040 --> 01:04:40,560
Speaker 1: But it's just it's so much information because then there's

1302
01:04:40,640 --> 01:04:45,320
Speaker 1: like the fiance just didn't act normal what we would

1303
01:04:45,320 --> 01:04:48,880
Speaker 1: consider a normal behavior when somebody that you love dies,

1304
01:04:48,920 --> 01:04:52,520
Speaker 1: and there was these connections to like his uncle, wasn't

1305
01:04:52,520 --> 01:04:54,520
Speaker 1: his uncle like somebody.

1306
01:04:54,320 --> 01:04:57,919
Speaker 3: I don't remember that, But basically they had they had

1307
01:04:58,000 --> 01:05:02,240
Speaker 3: surveillance footage from the hallway their apartment building. Basically proving

1308
01:05:02,280 --> 01:05:05,880
Speaker 3: that he was not there when she died, and then.

1309
01:05:05,920 --> 01:05:08,120
Speaker 2: There was something weird with that too, though.

1310
01:05:08,200 --> 01:05:10,880
Speaker 1: There was something weird with the security guard in the footage,

1311
01:05:10,880 --> 01:05:14,439
Speaker 1: and there's just like we broke it down in there. Yeah,

1312
01:05:14,480 --> 01:05:17,440
Speaker 1: And I don't know the exact specifics, but one of

1313
01:05:17,480 --> 01:05:22,200
Speaker 1: the biggest things is is that the medical examiner that

1314
01:05:22,280 --> 01:05:26,200
Speaker 1: did this at the time had been previously reprimanded in

1315
01:05:26,280 --> 01:05:31,400
Speaker 1: three separate situations, like written warnings about how sloppy his

1316
01:05:31,480 --> 01:05:35,400
Speaker 1: work was and how he wasn't documenting things properly. So

1317
01:05:36,400 --> 01:05:39,040
Speaker 1: is it like this whole the whole thing with the

1318
01:05:39,160 --> 01:05:41,160
Speaker 1: nick in the spinal cord and stuff. I don't know

1319
01:05:41,160 --> 01:05:43,720
Speaker 1: if they actually have pictures of this, but like if

1320
01:05:43,760 --> 01:05:48,440
Speaker 1: that wasn't documented correctly, then he could have potentially like

1321
01:05:48,520 --> 01:05:49,720
Speaker 1: fucked up this whole case.

1322
01:05:50,360 --> 01:05:53,200
Speaker 3: Yeah, I mean, there was also a theory floating around

1323
01:05:53,200 --> 01:05:55,800
Speaker 3: that maybe somebody had broken into the apartment before they

1324
01:05:55,840 --> 01:05:58,640
Speaker 3: got home or was hiding out, but then there's no

1325
01:05:58,800 --> 01:06:01,560
Speaker 3: footage of somebody lead and as I talked about earlier

1326
01:06:01,560 --> 01:06:03,720
Speaker 3: with the snow, there was like no way somebody else

1327
01:06:03,720 --> 01:06:06,440
Speaker 3: could have gotten out. So the details are just kind

1328
01:06:06,440 --> 01:06:10,240
Speaker 3: of all over the place. But now her parents don't

1329
01:06:10,240 --> 01:06:14,160
Speaker 3: want to accept that it is suicide as it now stands,

1330
01:06:14,680 --> 01:06:17,680
Speaker 3: because they just don't think that she did that. But

1331
01:06:18,080 --> 01:06:20,800
Speaker 3: they're really pressing that she didn't have any mental health issues,

1332
01:06:20,840 --> 01:06:23,680
Speaker 3: which we know from the police investigation that they determined

1333
01:06:24,120 --> 01:06:26,080
Speaker 3: she was going to therapy and she was on and

1334
01:06:26,080 --> 01:06:30,160
Speaker 3: off these psychiatric mids. So they're trying now they're bringing

1335
01:06:30,200 --> 01:06:32,440
Speaker 3: it to the Supreme Court of Pennsylvania to try to

1336
01:06:32,480 --> 01:06:35,280
Speaker 3: get the cause of death or I guess the manner

1337
01:06:35,280 --> 01:06:39,720
Speaker 3: of death turned over from suicide to either homicide or undetermined.

1338
01:06:41,720 --> 01:06:45,720
Speaker 1: I agree with them. I know a lot of people.

1339
01:06:45,880 --> 01:06:47,920
Speaker 1: This is like a common thing. You find out someone

1340
01:06:47,920 --> 01:06:50,320
Speaker 1: that you love or you were friends with died by suicide,

1341
01:06:50,360 --> 01:06:52,960
Speaker 1: and you think, Okay, you don't believe it. You don't

1342
01:06:52,960 --> 01:06:54,920
Speaker 1: want to believe it, especially if you didn't really know

1343
01:06:54,960 --> 01:06:58,360
Speaker 1: how bad they were suffering and stuff. And that's common.

1344
01:06:58,480 --> 01:07:03,320
Speaker 1: But I do think that their parent, the parents, given

1345
01:07:03,360 --> 01:07:05,840
Speaker 1: all the other facts of the case of how things

1346
01:07:05,880 --> 01:07:08,640
Speaker 1: went down with this, I would be pushing to get

1347
01:07:08,680 --> 01:07:12,680
Speaker 1: more answers with this too. I don't know, I don't

1348
01:07:12,720 --> 01:07:16,120
Speaker 1: know where her body is, if she's if she's buried somewhere.

1349
01:07:16,160 --> 01:07:19,640
Speaker 1: They can definitely pull her up and see some thing. Still,

1350
01:07:19,680 --> 01:07:22,440
Speaker 1: if they really wanted to, I'm I'm assuming that she

1351
01:07:22,560 --> 01:07:24,000
Speaker 1: got cremated or something.

1352
01:07:24,040 --> 01:07:26,360
Speaker 3: Maybe that there's no I think they're Jewish though, and

1353
01:07:26,440 --> 01:07:29,320
Speaker 3: it's not common in the Jewish religion to cremate.

1354
01:07:29,360 --> 01:07:30,240
Speaker 2: I don't think they do.

1355
01:07:30,320 --> 01:07:35,800
Speaker 1: That, but it's probably also frowned upon to exzoom too,

1356
01:07:36,200 --> 01:07:37,760
Speaker 1: So I'm assuming.

1357
01:07:37,640 --> 01:07:39,240
Speaker 2: Like, I don't know.

1358
01:07:41,280 --> 01:07:43,880
Speaker 1: If they or they might have enough photographs to prove

1359
01:07:43,960 --> 01:07:47,400
Speaker 1: everything that they need to prove. I listen, like, when

1360
01:07:47,440 --> 01:07:50,520
Speaker 1: you get somebody saying, think about this, like.

1361
01:07:50,720 --> 01:07:53,520
Speaker 2: You're you're a how old was she she? Usually like

1362
01:07:53,560 --> 01:07:55,200
Speaker 2: your age, around your age or something.

1363
01:07:55,280 --> 01:07:57,840
Speaker 1: Right, I get a call from you that you're dead,

1364
01:07:57,960 --> 01:08:01,760
Speaker 1: and somebody the first exam that looks at it says

1365
01:08:01,760 --> 01:08:05,760
Speaker 1: that someone murdered you. And then four days later they're like,

1366
01:08:05,840 --> 01:08:10,360
Speaker 1: never mind, she killed herself. And I'd be like, m no,

1367
01:08:10,520 --> 01:08:12,720
Speaker 1: I don't understand how you like, I.

1368
01:08:12,720 --> 01:08:15,480
Speaker 3: Understand from that to that, I understand the questioning it

1369
01:08:15,640 --> 01:08:19,200
Speaker 3: one hundred percent. I feel like changing it to undetermined

1370
01:08:19,840 --> 01:08:24,960
Speaker 3: is more frustrating than it being categorized. I understand also

1371
01:08:25,120 --> 01:08:28,920
Speaker 3: that they don't want they don't want it to come out.

1372
01:08:29,000 --> 01:08:31,360
Speaker 1: I would get satisfaction out of that though, Like I

1373
01:08:31,479 --> 01:08:33,960
Speaker 1: just I would just be like, you're not putting that

1374
01:08:34,160 --> 01:08:36,320
Speaker 1: because you haven't really proven that.

1375
01:08:36,840 --> 01:08:38,960
Speaker 2: Yeah, I get that. I just I don't know.

1376
01:08:39,040 --> 01:08:42,439
Speaker 3: I feel really horrible for them because it seems I

1377
01:08:42,479 --> 01:08:47,240
Speaker 3: actually feel like the investigation was pretty thorough, but like

1378
01:08:47,320 --> 01:08:49,880
Speaker 3: you said, the medical examiner that had done it at

1379
01:08:49,880 --> 01:08:53,160
Speaker 3: the time had already been reprimanded for sloppy work, and

1380
01:08:53,680 --> 01:08:58,280
Speaker 3: those little details are obviously very important. So when you

1381
01:08:58,400 --> 01:09:02,160
Speaker 3: put a good investigation with a botched autopsy together, like,

1382
01:09:02,240 --> 01:09:03,599
Speaker 3: how are any how is anything?

1383
01:09:03,640 --> 01:09:03,960
Speaker 2: Answer?

1384
01:09:04,000 --> 01:09:06,240
Speaker 1: Well, I'm thinking this too, Like when he did the

1385
01:09:06,280 --> 01:09:10,160
Speaker 1: first autopsy, clearly he was he decided that she was

1386
01:09:10,280 --> 01:09:15,680
Speaker 1: murdered and he had that on the brain, and like

1387
01:09:15,960 --> 01:09:20,800
Speaker 1: he was, I don't know that he was really documenting properly.

1388
01:09:20,920 --> 01:09:23,760
Speaker 1: I really feel like that's yeah, that might be one

1389
01:09:23,840 --> 01:09:26,840
Speaker 1: of the biggest parts of this case because let's say,

1390
01:09:26,880 --> 01:09:32,599
Speaker 1: for example, which there should be photographs of every single injury,

1391
01:09:32,880 --> 01:09:35,879
Speaker 1: just because I know how they do things there unless

1392
01:09:35,920 --> 01:09:39,760
Speaker 1: for some reason they didn't follow protocol. Because if that

1393
01:09:40,240 --> 01:09:44,080
Speaker 1: lesion or that stab worn on her on her spinal

1394
01:09:44,240 --> 01:09:47,479
Speaker 1: column is not there, or it's not as bad as

1395
01:09:47,479 --> 01:09:49,080
Speaker 1: they think it is that it would be able to

1396
01:09:50,240 --> 01:09:53,439
Speaker 1: make her unable to do those things. Then that could

1397
01:09:53,560 --> 01:09:57,759
Speaker 1: change this whole case, because then she would be able

1398
01:09:57,760 --> 01:09:59,400
Speaker 1: to stab herself that many times.

1399
01:09:59,439 --> 01:10:01,680
Speaker 2: And yeah, I mean, so.

1400
01:10:01,760 --> 01:10:04,559
Speaker 3: Is what you're getting at that, Like if the medical

1401
01:10:04,600 --> 01:10:08,679
Speaker 3: examiner might have a certain scenario in their mind, instead

1402
01:10:08,680 --> 01:10:11,799
Speaker 3: of being completely neutral about it, they might write something

1403
01:10:11,880 --> 01:10:14,479
Speaker 3: down to kind of lead with their theory.

1404
01:10:16,600 --> 01:10:19,320
Speaker 1: That's not what's supposed to happen. I'm just saying that

1405
01:10:20,000 --> 01:10:23,719
Speaker 1: he wasn't when he was doing it. He was thinking

1406
01:10:23,760 --> 01:10:29,080
Speaker 1: about someone putting those wounds on her versus her doing

1407
01:10:29,080 --> 01:10:33,120
Speaker 1: it on herself. Another big thing too, is when people

1408
01:10:33,240 --> 01:10:37,320
Speaker 1: get stabbed, typically especially her. She had come she was

1409
01:10:37,400 --> 01:10:40,479
Speaker 1: at work that day and she left early because it

1410
01:10:40,520 --> 01:10:43,439
Speaker 1: was a snow day in Philly. When she got back,

1411
01:10:43,479 --> 01:10:45,719
Speaker 1: I think she was in her kitchen like cutting oranges

1412
01:10:45,840 --> 01:10:50,479
Speaker 1: or something. She was cutting like fresh fruit. Someone Let's

1413
01:10:50,479 --> 01:10:52,920
Speaker 1: say someone came up to her and started stabbing her.

1414
01:10:53,000 --> 01:10:56,120
Speaker 1: If it was a homicide, she had no wounds on

1415
01:10:56,160 --> 01:11:00,000
Speaker 1: her hands or like really evidence of much of a struggle.

1416
01:11:00,200 --> 01:11:02,240
Speaker 3: Yeah, like no defensive wounds or anything.

1417
01:11:02,360 --> 01:11:05,000
Speaker 1: Yeah, and that and that's like there, you know what

1418
01:11:05,080 --> 01:11:07,719
Speaker 1: I mean, Like you can argue both sides of the case,

1419
01:11:07,760 --> 01:11:10,000
Speaker 1: which which is why I think it would just be

1420
01:11:10,000 --> 01:11:13,280
Speaker 1: better to call it undetermined, because for the mom and

1421
01:11:13,400 --> 01:11:17,479
Speaker 1: dad's sake too, it's like, why if you can't one

1422
01:11:17,600 --> 01:11:20,800
Speaker 1: hundred percent prove and there's so many questions that other

1423
01:11:20,880 --> 01:11:24,439
Speaker 1: things could have happened, at least they could feel at

1424
01:11:24,479 --> 01:11:27,920
Speaker 1: peace that that it wasn't just like given this label

1425
01:11:28,040 --> 01:11:29,000
Speaker 1: based upon.

1426
01:11:30,560 --> 01:11:32,000
Speaker 2: Not much. Yeah.

1427
01:11:32,040 --> 01:11:35,720
Speaker 3: So basically, now the Pennsylvania Supreme Court is going to

1428
01:11:36,640 --> 01:11:39,920
Speaker 3: look over the case again, and the parents are trying

1429
01:11:39,960 --> 01:11:43,200
Speaker 3: to accomplish getting that manner of death turned to either

1430
01:11:43,240 --> 01:11:46,320
Speaker 3: homicide or undetermined to move forward, because I guess if

1431
01:11:46,360 --> 01:11:48,160
Speaker 3: it does get rolled of homicide, then they're going to

1432
01:11:48,200 --> 01:11:49,800
Speaker 3: try to file a wrongful death suit.

1433
01:11:51,960 --> 01:11:55,200
Speaker 2: Well if it gets if it gets they should what

1434
01:11:55,400 --> 01:11:56,960
Speaker 2: for to the medical examiner.

1435
01:11:57,439 --> 01:11:59,920
Speaker 3: That's what I'm confused about, because even if it does

1436
01:12:00,040 --> 01:12:02,799
Speaker 3: get ruled homicide, they still have to prove who committed

1437
01:12:03,400 --> 01:12:03,760
Speaker 3: the crime.

1438
01:12:04,080 --> 01:12:05,160
Speaker 2: They don't, No, they don't.

1439
01:12:05,160 --> 01:12:08,040
Speaker 3: Well in order for me in order to like file

1440
01:12:08,120 --> 01:12:10,720
Speaker 3: a wrongful death suit, I don't know, Like I don't

1441
01:12:10,720 --> 01:12:13,880
Speaker 3: know how that whole system works. Oh, I get what

1442
01:12:13,920 --> 01:12:16,080
Speaker 3: you're saying, Like they could file it against the medical

1443
01:12:16,120 --> 01:12:22,799
Speaker 3: examiner because because technically think like like OJ was not guilty, right, yeah, well.

1444
01:12:22,680 --> 01:12:24,280
Speaker 2: Then who killed them?

1445
01:12:24,720 --> 01:12:27,240
Speaker 3: Yeah? But the civil suit he was guilty, just not

1446
01:12:27,320 --> 01:12:28,080
Speaker 3: the federal one.

1447
01:12:28,760 --> 01:12:29,040
Speaker 2: Yeah.

1448
01:12:29,280 --> 01:12:32,880
Speaker 1: But I'm just saying, like it's it doesn't matter, It

1449
01:12:32,880 --> 01:12:36,160
Speaker 1: doesn't matter who who killed her. It just matters that

1450
01:12:36,280 --> 01:12:38,800
Speaker 1: somebody killed her. They have to figure out who it is,

1451
01:12:38,840 --> 01:12:42,479
Speaker 1: and that's the whole thing. But I mean, yeah, they

1452
01:12:42,560 --> 01:12:45,600
Speaker 1: they they should if if it's determined that and I

1453
01:12:45,640 --> 01:12:49,479
Speaker 1: guess I mean there's there's serious professionals that have been

1454
01:12:49,800 --> 01:12:53,040
Speaker 1: asked about this case that think it's this.

1455
01:12:53,000 --> 01:12:56,520
Speaker 2: Is what happens when you're sloppy. It's really important.

1456
01:12:56,960 --> 01:12:59,280
Speaker 1: So when we when we do an autopsy, we have

1457
01:12:59,840 --> 01:13:02,400
Speaker 1: a and this is just hospital once, but they're all

1458
01:13:02,400 --> 01:13:05,760
Speaker 1: the same because in autopsy reports so many pages. We

1459
01:13:05,840 --> 01:13:09,400
Speaker 1: have these pre filled out templates that we go through

1460
01:13:09,400 --> 01:13:12,480
Speaker 1: every organ system and change when we're doing the autopsy.

1461
01:13:13,080 --> 01:13:15,879
Speaker 1: So it'll give it a description of let's say, for example,

1462
01:13:15,920 --> 01:13:19,360
Speaker 1: the GI track or the liver or something, and it'll

1463
01:13:19,360 --> 01:13:22,000
Speaker 1: talk about like, oh, this the liver looked like this,

1464
01:13:22,120 --> 01:13:24,400
Speaker 1: and the gallbladder looked like this, and inside there were

1465
01:13:24,439 --> 01:13:26,759
Speaker 1: no stones and there was this color bile and stuff.

1466
01:13:26,920 --> 01:13:30,280
Speaker 1: We're supposed to change every single thing that we go through. Well,

1467
01:13:30,720 --> 01:13:34,040
Speaker 1: what happens in my report that I just like forget

1468
01:13:34,080 --> 01:13:36,400
Speaker 1: to change that thing about the liver and the gallbladder.

1469
01:13:36,439 --> 01:13:39,200
Speaker 1: And then all of a sudden, the family members like,

1470
01:13:39,360 --> 01:13:41,600
Speaker 1: wait a second, my mom had her gallbladder removed. She

1471
01:13:41,640 --> 01:13:43,600
Speaker 1: didn't have a gallbladder, but you're saying you saw a

1472
01:13:43,640 --> 01:13:46,920
Speaker 1: gallbladder there. I want to see the person's like in

1473
01:13:47,000 --> 01:13:50,360
Speaker 1: the ground, like you don't you know. It's that's why

1474
01:13:50,400 --> 01:13:52,840
Speaker 1: your document is so important.

1475
01:13:53,280 --> 01:13:54,840
Speaker 3: I want to see if we could get a certain

1476
01:13:54,880 --> 01:13:57,599
Speaker 3: guests on that we could talk about it off there

1477
01:13:57,680 --> 01:14:00,640
Speaker 3: that will elaborate on this story a little, because I

1478
01:14:00,640 --> 01:14:04,200
Speaker 3: think it would be a good conversation between two professionals

1479
01:14:04,200 --> 01:14:05,599
Speaker 3: in the field.

1480
01:14:06,840 --> 01:14:09,800
Speaker 2: All right, let's talk about medical news, all right.

1481
01:14:09,840 --> 01:14:12,479
Speaker 3: So last year, after having their second kid, this couple

1482
01:14:12,520 --> 01:14:15,120
Speaker 3: decided the husband would get a vasectomy. I mean, this

1483
01:14:15,200 --> 01:14:18,479
Speaker 3: is something that's super common. He got the procedure done

1484
01:14:18,520 --> 01:14:21,839
Speaker 3: in October last year, and in the meantime, the doctors

1485
01:14:21,840 --> 01:14:24,040
Speaker 3: had said, for a couple months after the procedure, you

1486
01:14:24,080 --> 01:14:26,840
Speaker 3: should just use a secondary form of birth control just

1487
01:14:26,880 --> 01:14:28,920
Speaker 3: to make sure until we could do the proper sperm

1488
01:14:28,960 --> 01:14:32,880
Speaker 3: testing to make sure the vasectomy worked. So they were

1489
01:14:32,960 --> 01:14:35,400
Speaker 3: doing that for a couple months. I think I've read

1490
01:14:35,439 --> 01:14:38,000
Speaker 3: in January that she eventually went off with the birth

1491
01:14:38,000 --> 01:14:41,160
Speaker 3: control again or they weren't using condoms or whatever they

1492
01:14:41,160 --> 01:14:44,760
Speaker 3: were using for the secondary form. But in May, the

1493
01:14:44,840 --> 01:14:48,320
Speaker 3: wife realized that she never got her period in April,

1494
01:14:48,720 --> 01:14:51,439
Speaker 3: and she was like, oh, well, whatever, my periods are

1495
01:14:51,479 --> 01:14:53,680
Speaker 3: irregular anyway. And then within a couple of weeks she

1496
01:14:53,720 --> 01:14:57,840
Speaker 3: started developing symptoms like nausea and fatigue and everything. So

1497
01:14:58,320 --> 01:15:02,440
Speaker 3: she took a pregnancy test and trure if she was pregnant.

1498
01:15:03,240 --> 01:15:07,519
Speaker 1: Uh So, when you, as as a regular person, when

1499
01:15:07,600 --> 01:15:09,640
Speaker 1: you read this story, like, what do you what do

1500
01:15:09,720 --> 01:15:10,080
Speaker 1: you think?

1501
01:15:11,040 --> 01:15:15,120
Speaker 3: I assume, because they did say they tested the sperm

1502
01:15:15,160 --> 01:15:16,400
Speaker 3: and that the procedure had worked.

1503
01:15:16,439 --> 01:15:17,720
Speaker 2: I assumed infidelity.

1504
01:15:19,240 --> 01:15:23,280
Speaker 1: Yeah, so she so that's that's what everybody assumed. So

1505
01:15:23,360 --> 01:15:28,639
Speaker 1: she she got testing. She didn't even she got it done,

1506
01:15:28,720 --> 01:15:30,800
Speaker 1: just so when people say that to her, like, yeah,

1507
01:15:30,840 --> 01:15:33,840
Speaker 1: you were cheating. She got paternity testing to prove that

1508
01:15:34,080 --> 01:15:35,479
Speaker 1: it was her husband's kid.

1509
01:15:36,520 --> 01:15:39,200
Speaker 3: Yeah, which it is, Like, I mean, I guess if

1510
01:15:39,240 --> 01:15:40,920
Speaker 3: you're going to go on the internet and share your

1511
01:15:40,920 --> 01:15:44,240
Speaker 3: story and everything. Then you need to understand the backlash

1512
01:15:44,280 --> 01:15:45,680
Speaker 3: that's going to come with it. Because I was gonna say,

1513
01:15:45,720 --> 01:15:48,160
Speaker 3: it's ridiculous that she would have to go forward and

1514
01:15:48,160 --> 01:15:50,280
Speaker 3: get a paternity test with her husband that is the

1515
01:15:50,320 --> 01:15:53,080
Speaker 3: father of her other two children, right, But I think

1516
01:15:53,080 --> 01:15:55,680
Speaker 3: it'll be public about it then, Yeah.

1517
01:15:55,439 --> 01:15:57,679
Speaker 1: And I think, you know, at first I was kind

1518
01:15:57,680 --> 01:15:59,559
Speaker 1: of like rolling my eyes about it, but then I

1519
01:15:59,600 --> 01:16:03,360
Speaker 1: was like, you know what, Like I think she's she's

1520
01:16:03,439 --> 01:16:06,839
Speaker 1: kind of mad about it and was going to multiple

1521
01:16:06,840 --> 01:16:09,880
Speaker 1: doctors to be like, how the fuck did this happen?

1522
01:16:10,680 --> 01:16:14,840
Speaker 1: And the doctors, she felt like the doctors were kind

1523
01:16:14,880 --> 01:16:19,000
Speaker 1: of like not taking it seriously, and she wanted to

1524
01:16:19,000 --> 01:16:22,559
Speaker 1: be like, Hi, we had this. He has no sperm

1525
01:16:22,680 --> 01:16:24,559
Speaker 1: in his semen in two tests. He had a home

1526
01:16:24,600 --> 01:16:27,800
Speaker 1: test and a one in the office, and I just

1527
01:16:27,840 --> 01:16:30,320
Speaker 1: took this paternity test and it's his child.

1528
01:16:30,560 --> 01:16:31,519
Speaker 2: How did this happen?

1529
01:16:32,080 --> 01:16:32,280
Speaker 3: Yeah?

1530
01:16:32,280 --> 01:16:35,840
Speaker 1: And they want to keep blowing her off. But this

1531
01:16:36,040 --> 01:16:39,599
Speaker 1: when I look when I read this story, because it's

1532
01:16:39,640 --> 01:16:43,679
Speaker 1: it's like mom wants answers, this shouldn't have happened and stuff,

1533
01:16:43,680 --> 01:16:47,679
Speaker 1: and I'm like, has vasectomy ever been one hundred percent?

1534
01:16:47,840 --> 01:16:49,800
Speaker 2: No? Not in my opinion. I don't know what.

1535
01:16:49,760 --> 01:16:52,200
Speaker 1: They tell people at the doctor's offices, but they're not

1536
01:16:52,280 --> 01:16:54,920
Speaker 1: one hundred percent. Well I never have been.

1537
01:16:55,160 --> 01:16:58,120
Speaker 3: I think based on people I know that have them done,

1538
01:16:58,360 --> 01:17:00,880
Speaker 3: that is the assumption is that they're hundred percent.

1539
01:17:01,840 --> 01:17:04,200
Speaker 1: Like they tell you before you get it done, that

1540
01:17:05,040 --> 01:17:08,519
Speaker 1: you're you you'll be sterile, and this is permanent. But

1541
01:17:08,680 --> 01:17:11,160
Speaker 1: like there's guys that get it reversed all the time

1542
01:17:11,200 --> 01:17:12,360
Speaker 1: and go on to have children.

1543
01:17:13,160 --> 01:17:16,439
Speaker 2: It's it's just like it it's.

1544
01:17:16,280 --> 01:17:18,880
Speaker 1: Not good, like you shouldn't do it unless you are

1545
01:17:18,920 --> 01:17:21,720
Speaker 1: making that decision that you probably won't have another kid.

1546
01:17:21,760 --> 01:17:24,880
Speaker 2: But they are able to reverse it. But I'm just.

1547
01:17:24,840 --> 01:17:27,920
Speaker 1: Saying I've never and like Gabe, never even had that done.

1548
01:17:27,960 --> 01:17:30,759
Speaker 1: I never even went on the actual appointments or anything.

1549
01:17:30,800 --> 01:17:32,960
Speaker 1: But I've just always been under the assumption that that

1550
01:17:33,120 --> 01:17:36,200
Speaker 1: was never one hundred percent guaranteed.

1551
01:17:35,640 --> 01:17:39,120
Speaker 2: It really lowered your probability of getting pregnant.

1552
01:17:39,120 --> 01:17:41,840
Speaker 1: But it was, And so I looked it up and

1553
01:17:41,880 --> 01:17:44,680
Speaker 1: according to the CDC even it's saying it's not one

1554
01:17:44,760 --> 01:17:45,400
Speaker 1: hundred percent.

1555
01:17:46,160 --> 01:17:48,920
Speaker 3: So I think there is I think doctor I don't

1556
01:17:48,960 --> 01:17:51,880
Speaker 3: know if doctors are necessarily saying it, but I think

1557
01:17:52,000 --> 01:17:54,799
Speaker 3: the public definitely thinks it's one hundred percent.

1558
01:17:55,360 --> 01:17:57,200
Speaker 2: It's not not everybody.

1559
01:17:57,320 --> 01:17:59,640
Speaker 1: I mean, the CDC really has it that it's not

1560
01:17:59,680 --> 01:18:03,080
Speaker 1: a hundred percent. Even after they get their sperm checked

1561
01:18:03,120 --> 01:18:06,559
Speaker 1: and there's no sperm, it's not one hundred percent because

1562
01:18:07,040 --> 01:18:10,559
Speaker 1: even let's say you ejaculate twice and there's nothing in

1563
01:18:10,600 --> 01:18:12,639
Speaker 1: the semen. I used to look at semen all day,

1564
01:18:12,680 --> 01:18:15,439
Speaker 1: by the way, at my when I was a cyto chech.

1565
01:18:15,600 --> 01:18:19,960
Speaker 1: It was actually kind of gross, honestly, but regardless, like

1566
01:18:20,720 --> 01:18:23,800
Speaker 1: sometimes the guys I looked at so many of them,

1567
01:18:23,800 --> 01:18:25,760
Speaker 1: Like sometimes the guys would bring it and there would

1568
01:18:25,760 --> 01:18:28,800
Speaker 1: be like one little sperm that was like dead, it

1569
01:18:28,840 --> 01:18:31,840
Speaker 1: wasn't even moving or anything. And it's just like nope, dude,

1570
01:18:32,320 --> 01:18:36,519
Speaker 1: that like it takes one sperm and that isn't one

1571
01:18:36,600 --> 01:18:39,439
Speaker 1: hundred percent representative of what's going on all the time.

1572
01:18:39,479 --> 01:18:42,200
Speaker 2: It's just what's going on with that particular ejaculate.

1573
01:18:42,280 --> 01:18:45,439
Speaker 1: Like it's not maybe I'm not saying like that there's

1574
01:18:45,560 --> 01:18:47,840
Speaker 1: one thousands of sperm in the next load or whatever,

1575
01:18:47,880 --> 01:18:52,439
Speaker 1: but like it's I'm serious though, I I know that

1576
01:18:52,640 --> 01:18:55,759
Speaker 1: like she wasn't expecting this or anything, but I don't.

1577
01:18:56,439 --> 01:18:58,519
Speaker 1: I don't know what doctors are telling their patients. It's

1578
01:18:58,560 --> 01:19:00,000
Speaker 1: just not it's not one hundred percent.

1579
01:19:00,439 --> 01:19:02,960
Speaker 3: Maybe when we eventually make merch for the show, we'll

1580
01:19:02,960 --> 01:19:08,280
Speaker 3: making sure that says I look at sperm all day. Yeah,

1581
01:19:08,400 --> 01:19:10,280
Speaker 3: I mean it, it's you know.

1582
01:19:10,320 --> 01:19:12,120
Speaker 2: And then they were even more awful.

1583
01:19:12,160 --> 01:19:13,880
Speaker 3: They were telling her that she might be getting a

1584
01:19:13,880 --> 01:19:16,200
Speaker 3: false positive test and she might be having like another

1585
01:19:16,439 --> 01:19:19,400
Speaker 3: serious issue. So then you know, you have this lady

1586
01:19:19,439 --> 01:19:21,960
Speaker 3: that's like not expecting to be pregnant at all, and

1587
01:19:21,960 --> 01:19:23,840
Speaker 3: then they're telling her she might not be pregnant, and

1588
01:19:23,880 --> 01:19:26,920
Speaker 3: then she's freaking out about that, and she she has

1589
01:19:26,960 --> 01:19:31,080
Speaker 3: a healthy pregnancy, She is pregnant, and the whole thing's happening,

1590
01:19:31,080 --> 01:19:32,960
Speaker 3: and I guess they're trying to post it on the

1591
01:19:32,960 --> 01:19:33,759
Speaker 3: internet to try.

1592
01:19:33,640 --> 01:19:35,000
Speaker 2: To be like how is this possible?

1593
01:19:35,040 --> 01:19:37,920
Speaker 3: But you're explaining that it's very kind.

1594
01:19:38,080 --> 01:19:40,599
Speaker 1: I think it's kind of cool, Like it's just like, dude,

1595
01:19:40,600 --> 01:19:43,280
Speaker 1: that thing that baby wants to be born, Like it's

1596
01:19:43,360 --> 01:19:48,400
Speaker 1: kind of I don't know, a it's a sign. I

1597
01:19:48,400 --> 01:19:50,720
Speaker 1: don't even I just think I think it's kind of

1598
01:19:50,800 --> 01:19:53,639
Speaker 1: a cool story. Like I keep thinking about that kid

1599
01:19:53,680 --> 01:19:55,960
Speaker 1: when it grows up and just telling the kid the

1600
01:19:56,040 --> 01:19:58,120
Speaker 1: story of how they came along, and it's just like

1601
01:19:58,160 --> 01:20:00,200
Speaker 1: you were like supposed to.

1602
01:20:00,080 --> 01:20:00,599
Speaker 2: To be here.

1603
01:20:00,720 --> 01:20:03,360
Speaker 3: Well, did you see they had another TikTok video where

1604
01:20:03,360 --> 01:20:06,720
Speaker 3: they're calling it visect to me baby, So they did

1605
01:20:06,800 --> 01:20:10,040
Speaker 3: visectomy baby reveal they're having.

1606
01:20:09,800 --> 01:20:15,160
Speaker 2: A third daughter. But all right, So I don't know.

1607
01:20:15,200 --> 01:20:18,640
Speaker 1: I just think that's that's the big I think the

1608
01:20:18,640 --> 01:20:22,600
Speaker 1: biggest problem is that maybe they say you have to

1609
01:20:22,680 --> 01:20:25,160
Speaker 1: make sure you really want to do this because it's permanent,

1610
01:20:25,200 --> 01:20:27,799
Speaker 1: and they don't say and you're.

1611
01:20:27,680 --> 01:20:29,080
Speaker 2: Supposed to assume.

1612
01:20:30,560 --> 01:20:34,240
Speaker 1: That that that means that it's one hundred percent like

1613
01:20:34,280 --> 01:20:36,760
Speaker 1: there's no DoD they I feel like you should sign

1614
01:20:36,840 --> 01:20:39,640
Speaker 1: a document that's like, we are not responsible if you

1615
01:20:39,680 --> 01:20:42,759
Speaker 1: get pregnant. There is a zero point one percent chance

1616
01:20:42,760 --> 01:20:44,200
Speaker 1: of a sperm finding its way.

1617
01:20:44,360 --> 01:20:46,840
Speaker 3: Think about the documents, however, that you're signing at the

1618
01:20:46,880 --> 01:20:49,439
Speaker 3: doctor's office. Most people aren't reading them. They're like signing

1619
01:20:49,520 --> 01:20:52,400
Speaker 3: most documents. People are like sitting there reading all the

1620
01:20:52,400 --> 01:20:54,080
Speaker 3: fine little bullet points in.

1621
01:20:54,080 --> 01:20:56,080
Speaker 1: The But like, if that's the whole point of you

1622
01:20:56,240 --> 01:20:58,760
Speaker 1: getting the surgery, don't you think you should know what

1623
01:20:59,000 --> 01:21:00,280
Speaker 1: like that part of it?

1624
01:21:00,400 --> 01:21:01,320
Speaker 2: One hundred percent?

1625
01:21:01,439 --> 01:21:04,400
Speaker 3: I do think it's a terminology and miscommunication issue, Like

1626
01:21:04,479 --> 01:21:07,479
Speaker 3: you're saying, they're saying it's permanent, so you're thinking like, Okay,

1627
01:21:07,520 --> 01:21:09,960
Speaker 3: it's permanent, I can't have kids anymore, and you're saying no,

1628
01:21:10,040 --> 01:21:14,000
Speaker 3: Like the procedure is that it's one hundred percent effect.

1629
01:21:14,160 --> 01:21:16,720
Speaker 1: It's permanent until they go in and turn it, reverse it,

1630
01:21:16,760 --> 01:21:18,439
Speaker 1: and then all of a sudden it's not or whatever

1631
01:21:18,600 --> 01:21:21,719
Speaker 1: or nature. Fine, but not everybody can get it reversed

1632
01:21:21,800 --> 01:21:25,679
Speaker 1: right now. No, they can't, but people do and definitely

1633
01:21:25,720 --> 01:21:26,920
Speaker 1: do all right.

1634
01:21:27,000 --> 01:21:29,479
Speaker 3: Well, In more interesting news, now that the Barbie movie

1635
01:21:29,560 --> 01:21:32,400
Speaker 3: has been out for a whole year, a new study

1636
01:21:32,400 --> 01:21:34,800
Speaker 3: has suggested that it taught a lot of people about

1637
01:21:34,840 --> 01:21:38,880
Speaker 3: what a kind of cologist is. It's it's so cool, right,

1638
01:21:39,360 --> 01:21:42,479
Speaker 3: And there's lots of different stories that they mentioned in

1639
01:21:42,520 --> 01:21:46,160
Speaker 3: this article that could also point to that. But Jama did, Uh,

1640
01:21:46,200 --> 01:21:47,040
Speaker 3: this is the.

1641
01:21:47,560 --> 01:21:49,200
Speaker 1: I don't even know what it stands for. Journal of

1642
01:21:49,240 --> 01:21:52,920
Speaker 1: American Medicals, Medical Association.

1643
01:21:52,479 --> 01:21:53,800
Speaker 2: Something like that. Yeah.

1644
01:21:54,360 --> 01:21:57,599
Speaker 1: They they said that when Barbie was released in July

1645
01:21:57,720 --> 01:22:00,840
Speaker 1: of twenty twenty three, that there was a fifty one

1646
01:22:00,880 --> 01:22:06,000
Speaker 1: percent increase in searches for gaynacologists and gynecology, combined with

1647
01:22:06,080 --> 01:22:09,880
Speaker 1: queries like what does a gynocologist do on Google? Yeah,

1648
01:22:09,880 --> 01:22:12,439
Speaker 1: and as you know when you saw I don't want.

1649
01:22:12,320 --> 01:22:13,960
Speaker 3: To spoil it for no week, do you have to

1650
01:22:14,000 --> 01:22:17,000
Speaker 3: spoil it that like spoiler alert. You have a couple

1651
01:22:17,120 --> 01:22:19,919
Speaker 3: seconds to pause this or just skip ahead fifteen seconds.

1652
01:22:20,120 --> 01:22:23,960
Speaker 3: The final scene of the of the movie is Barbie's

1653
01:22:24,000 --> 01:22:26,439
Speaker 3: out of Barbie World and she's in the real world

1654
01:22:26,720 --> 01:22:29,120
Speaker 3: and they show her go up to a receptionist at

1655
01:22:29,120 --> 01:22:31,920
Speaker 3: the desk and she says, I'm here to see my gaynacologists.

1656
01:22:31,960 --> 01:22:35,679
Speaker 3: And it's hilarious for many reasons, but because Barbie dolls

1657
01:22:35,720 --> 01:22:40,240
Speaker 3: don't have a vagina.

1658
01:22:38,320 --> 01:22:40,160
Speaker 2: And now she's in the real world and she has

1659
01:22:40,200 --> 01:22:40,800
Speaker 2: to deal with it.

1660
01:22:40,880 --> 01:22:43,080
Speaker 3: So and Greta Gerrig was saying, it was like the

1661
01:22:43,080 --> 01:22:45,640
Speaker 3: whole point of the movie was to be like, Barbies

1662
01:22:45,640 --> 01:22:48,320
Speaker 3: can be astronauts, they could be president, they could be anything.

1663
01:22:48,320 --> 01:22:50,080
Speaker 3: Well they could also be just like us and go

1664
01:22:50,160 --> 01:22:52,240
Speaker 3: to the gynecologists. So it was like kind of this

1665
01:22:52,280 --> 01:22:54,280
Speaker 3: full circle from the beginning of the movie.

1666
01:22:55,520 --> 01:22:59,160
Speaker 1: So back in two thousand, Katie Kerrik that was on

1667
01:22:59,240 --> 01:22:59,960
Speaker 1: the Today Show.

1668
01:23:00,200 --> 01:23:02,680
Speaker 2: You you I don't know if you know her or not.

1669
01:23:02,680 --> 01:23:05,200
Speaker 3: I know alba Her I read her autobiography and it

1670
01:23:05,240 --> 01:23:05,960
Speaker 3: was amazing.

1671
01:23:06,880 --> 01:23:10,320
Speaker 1: Well, her husband died, you know then of colon cancer,

1672
01:23:10,400 --> 01:23:12,800
Speaker 1: so she did a live stream of a colonoscopy and

1673
01:23:12,840 --> 01:23:16,360
Speaker 1: they said that it increased colonoscopies by twenty one percent

1674
01:23:16,439 --> 01:23:20,120
Speaker 1: after she did that. And then Angelina Jolie was talking

1675
01:23:20,160 --> 01:23:23,599
Speaker 1: about testing positive for the Bronco gene. If you remember,

1676
01:23:23,640 --> 01:23:26,679
Speaker 1: her mom died from ovarian cancer from the Bronco gene.

1677
01:23:26,720 --> 01:23:31,320
Speaker 1: And then she had a prophylactic mesectomy as well as

1678
01:23:31,720 --> 01:23:36,600
Speaker 1: salpingo upherectomy, which is removing the Filippian tubes and ovaries,

1679
01:23:36,680 --> 01:23:41,000
Speaker 1: and that saw a sixty four percent increase in genetic testing.

1680
01:23:41,160 --> 01:23:43,080
Speaker 3: Yeah, so I guess the point of this study is

1681
01:23:43,160 --> 01:23:46,960
Speaker 3: just emphasizing the importance of pop culture and you know,

1682
01:23:47,080 --> 01:23:49,960
Speaker 3: showing these type of tests or procedures. And they were

1683
01:23:49,960 --> 01:23:53,320
Speaker 3: saying with the Barbie thing that it was really awesome

1684
01:23:53,400 --> 01:23:55,120
Speaker 3: to see. You know, there's a lot of this like

1685
01:23:55,200 --> 01:23:58,439
Speaker 3: doom and gloom associated with going to the doctor in general,

1686
01:23:58,560 --> 01:24:03,160
Speaker 3: especially the guydecologists. So this one gynecologist that was interviewed

1687
01:24:03,200 --> 01:24:05,839
Speaker 3: for this article said it was awesome to see somebody

1688
01:24:05,840 --> 01:24:08,200
Speaker 3: going to the office with a smile, and it actually

1689
01:24:08,240 --> 01:24:10,800
Speaker 3: gave this really good impression of how it could be

1690
01:24:10,880 --> 01:24:13,679
Speaker 3: an easy going experience if you're on top of everything

1691
01:24:13,840 --> 01:24:14,960
Speaker 3: taking care of your health.

1692
01:24:15,080 --> 01:24:17,120
Speaker 2: So it's kind of cool, which.

1693
01:24:17,080 --> 01:24:20,320
Speaker 1: Is not how I feel when I have a gynocologist appointment.

1694
01:24:20,400 --> 01:24:21,439
Speaker 2: For sure, there's two.

1695
01:24:21,720 --> 01:24:24,520
Speaker 3: Like when I go to the dentist and the gynecologists,

1696
01:24:24,560 --> 01:24:27,000
Speaker 3: it's like the only doctor's appointments. I don't have my

1697
01:24:27,080 --> 01:24:29,519
Speaker 3: weird white coat syndrome that I have everywhere else.

1698
01:24:29,560 --> 01:24:30,519
Speaker 2: I can't explain it.

1699
01:24:30,560 --> 01:24:34,280
Speaker 3: They're like the two gynecologists who don't. I'm totally comfortable there.

1700
01:24:34,320 --> 01:24:35,679
Speaker 2: I can explain it. Now.

1701
01:24:36,640 --> 01:24:39,920
Speaker 1: I have like PTSD from having you like accept the

1702
01:24:39,960 --> 01:24:42,120
Speaker 1: one time I want to stick my feet in those

1703
01:24:42,160 --> 01:24:42,760
Speaker 1: oven myths.

1704
01:24:42,800 --> 01:24:43,799
Speaker 2: It's fucking weird.

1705
01:24:44,000 --> 01:24:45,760
Speaker 3: Except the one time that I went to get an

1706
01:24:45,800 --> 01:24:48,000
Speaker 3: ultras out for assist I had, and they put me

1707
01:24:48,080 --> 01:24:49,960
Speaker 3: in this like other waiting room and there was just

1708
01:24:50,000 --> 01:24:53,800
Speaker 3: this TV playing continuous ads about ovarian cancer, and I'm like,

1709
01:24:53,840 --> 01:24:56,000
Speaker 3: this is really soothing when I'm here to get this

1710
01:24:56,520 --> 01:24:59,160
Speaker 3: test done. Thanks, Like you can't just have like the

1711
01:24:59,200 --> 01:25:00,679
Speaker 3: Today Show on or something.

1712
01:25:02,240 --> 01:25:07,040
Speaker 1: Now, why I've been noticing that doctor's offices And it's

1713
01:25:07,040 --> 01:25:09,479
Speaker 1: probably just because like you don't want to put the

1714
01:25:09,520 --> 01:25:11,760
Speaker 1: news on anymore and stuff like that. So they have

1715
01:25:11,880 --> 01:25:13,519
Speaker 1: like HDTV on all the time.

1716
01:25:13,560 --> 01:25:14,320
Speaker 2: It's pretty nice.

1717
01:25:14,680 --> 01:25:17,720
Speaker 3: Yeah, they had the dentist yesterday they had the Olympics on,

1718
01:25:18,080 --> 01:25:19,240
Speaker 3: which was nice because.

1719
01:25:19,080 --> 01:25:19,679
Speaker 2: Oh that's cool.

1720
01:25:19,800 --> 01:25:23,799
Speaker 3: Yeah, all right, let's get into other death news. Last March,

1721
01:25:23,880 --> 01:25:26,759
Speaker 3: this woman's husband of fifty eight years had died after

1722
01:25:26,800 --> 01:25:29,720
Speaker 3: a brief illness. So to feel close to him, she

1723
01:25:29,800 --> 01:25:32,360
Speaker 3: had been wearing his wedding band on a chain around

1724
01:25:32,360 --> 01:25:35,640
Speaker 3: her neck. So he died in March last year. So

1725
01:25:35,720 --> 01:25:38,839
Speaker 3: a year goes by. Their wedding anniversary was in June.

1726
01:25:38,960 --> 01:25:41,280
Speaker 3: A couple of days before the wedding anniversary, she was

1727
01:25:41,360 --> 01:25:43,839
Speaker 3: just like sitting outside and enjoying a nice day outside,

1728
01:25:44,360 --> 01:25:46,719
Speaker 3: and she's looking at the ring up close.

1729
01:25:47,320 --> 01:25:47,880
Speaker 2: So then she.

1730
01:25:47,960 --> 01:25:50,800
Speaker 3: Notices there's an inscription on the inside of the ring,

1731
01:25:51,240 --> 01:25:53,880
Speaker 3: and the inscription was a date in initials that were

1732
01:25:53,920 --> 01:25:57,040
Speaker 3: not hers or her husband's, and certainly not the day

1733
01:25:57,080 --> 01:26:00,320
Speaker 3: they got married. So she realized she hadn't been wearing

1734
01:26:00,360 --> 01:26:02,360
Speaker 3: his ring after all. It was somebody else's.

1735
01:26:02,439 --> 01:26:05,719
Speaker 2: God, that's so sad. It is really sad. It's sad.

1736
01:26:05,720 --> 01:26:08,360
Speaker 1: They were married for fifty eight years. Like I just

1737
01:26:08,400 --> 01:26:12,040
Speaker 1: think about how sad that must be for her, And

1738
01:26:12,640 --> 01:26:14,760
Speaker 1: of course the next question is, well, then where the

1739
01:26:14,800 --> 01:26:16,160
Speaker 1: hell is her husband's ring?

1740
01:26:16,600 --> 01:26:18,960
Speaker 3: Yeah, so it seemed like he was in the hospital

1741
01:26:19,040 --> 01:26:21,720
Speaker 3: and in the ICU from whatever illness he had, and

1742
01:26:21,760 --> 01:26:23,680
Speaker 3: she was trying to backtrack, and she was like, it

1743
01:26:23,760 --> 01:26:26,719
Speaker 3: must have went down at the hospital because I don't

1744
01:26:26,800 --> 01:26:28,720
Speaker 3: understand where else it could have been or where I

1745
01:26:28,720 --> 01:26:30,960
Speaker 3: could have even gotten this ring, right, like, she Yeah,

1746
01:26:31,240 --> 01:26:33,439
Speaker 3: the most important detail is she has no idea whose

1747
01:26:33,520 --> 01:26:36,840
Speaker 3: ring this is. So she contacted the hospital and the

1748
01:26:36,960 --> 01:26:40,200
Speaker 3: lady in the I guess public relations office or whatever

1749
01:26:40,240 --> 01:26:43,880
Speaker 3: there she's been really really amazing and trying to help

1750
01:26:43,880 --> 01:26:46,719
Speaker 3: her a find whose ring that is, but also find

1751
01:26:46,720 --> 01:26:49,839
Speaker 3: her husband's ring. But they can't find any other patient

1752
01:26:49,920 --> 01:26:53,800
Speaker 3: around that time that had those same initials or that date. Well,

1753
01:26:53,800 --> 01:26:56,080
Speaker 3: I don't know if they'd know wedding date, but they

1754
01:26:56,080 --> 01:26:58,120
Speaker 3: don't know anybody that had those initials. They didn't have

1755
01:26:58,160 --> 01:27:02,799
Speaker 3: anybody else report missing, so they talked to the morgue.

1756
01:27:02,840 --> 01:27:05,960
Speaker 3: They didn't have anybody down there with similar initials. So

1757
01:27:06,080 --> 01:27:08,120
Speaker 3: I guess they're having a hard time figuring out where

1758
01:27:08,160 --> 01:27:10,719
Speaker 3: that ring came from and what could have happened.

1759
01:27:10,760 --> 01:27:13,519
Speaker 1: To his I think that there's a way that they

1760
01:27:13,560 --> 01:27:16,439
Speaker 1: could figure out who this belongs to. I know they

1761
01:27:16,479 --> 01:27:18,320
Speaker 1: said that there was no one staying there at that

1762
01:27:18,400 --> 01:27:21,680
Speaker 1: time with those initials, staying there, like staying there in

1763
01:27:21,720 --> 01:27:25,120
Speaker 1: the morgue at the hospital or in the morgue like

1764
01:27:25,200 --> 01:27:28,599
Speaker 1: it's like it's like it's a hotel, but but for real,

1765
01:27:28,720 --> 01:27:33,960
Speaker 1: like you just be that could have so many different meanings,

1766
01:27:34,840 --> 01:27:39,040
Speaker 1: you know, when you're like Camille, right, Gabe's sister wears

1767
01:27:39,040 --> 01:27:43,000
Speaker 1: a ring with his mom's initials on it, which are

1768
01:27:43,000 --> 01:27:43,960
Speaker 1: not her initials.

1769
01:27:44,520 --> 01:27:45,519
Speaker 2: It's her old ring.

1770
01:27:46,240 --> 01:27:50,280
Speaker 1: So I think the easier thing would be to especially

1771
01:27:50,360 --> 01:27:52,840
Speaker 1: the ICUs so small and the morgue only hurts so

1772
01:27:52,920 --> 01:27:55,120
Speaker 1: many people, you could probably narrow it down to ten

1773
01:27:55,160 --> 01:27:59,120
Speaker 1: people and maybe try to contact those people and see

1774
01:27:59,120 --> 01:28:02,800
Speaker 1: if you can figure it out. And then you'd have

1775
01:28:02,880 --> 01:28:06,599
Speaker 1: to hope that those people have the rank the real ring, right,

1776
01:28:06,680 --> 01:28:08,519
Speaker 1: I mean, I think the chance of her getting back

1777
01:28:08,560 --> 01:28:12,760
Speaker 1: her ring is probably slim, but at least maybe if

1778
01:28:12,760 --> 01:28:16,200
Speaker 1: somebody really wants that ring, she could help somebody else

1779
01:28:16,280 --> 01:28:16,639
Speaker 1: with it.

1780
01:28:17,760 --> 01:28:20,360
Speaker 3: Well, we're gonna use our platform to try to help

1781
01:28:20,439 --> 01:28:26,479
Speaker 3: as well. So the inscription is July twenty MG to GB.

1782
01:28:26,880 --> 01:28:32,479
Speaker 3: So if you guys have any idea if this belongs

1783
01:28:32,479 --> 01:28:34,559
Speaker 3: to somebody, you know, I guess reach out to us,

1784
01:28:34,560 --> 01:28:37,360
Speaker 3: because I don't have the proper resources.

1785
01:28:36,600 --> 01:28:39,040
Speaker 2: In front of it, or so let's put them in

1786
01:28:39,120 --> 01:28:39,719
Speaker 2: the description.

1787
01:28:40,200 --> 01:28:42,920
Speaker 3: It is really sad because it's like, this horrible thing

1788
01:28:43,000 --> 01:28:44,880
Speaker 3: happens to you. The love of your life is dead,

1789
01:28:44,880 --> 01:28:47,559
Speaker 3: and you just want to have this little piece of

1790
01:28:47,640 --> 01:28:50,040
Speaker 3: jewelry to have him close to your heart, and then

1791
01:28:50,080 --> 01:28:53,080
Speaker 3: you find out it's not even his. Maybe those people

1792
01:28:53,120 --> 01:28:55,920
Speaker 3: do have it though, if it really looked identical, Yeah,

1793
01:28:56,040 --> 01:29:00,000
Speaker 3: maybe they don't even realize it. Because Ricky, for example,

1794
01:29:00,320 --> 01:29:03,080
Speaker 3: has the same ring. I'm sure many people have, but

1795
01:29:03,120 --> 01:29:05,519
Speaker 3: he has an inscription inside of his.

1796
01:29:05,720 --> 01:29:07,160
Speaker 2: So I would and back in.

1797
01:29:07,120 --> 01:29:09,479
Speaker 1: The day, like if they're married fifty eight years, like

1798
01:29:09,640 --> 01:29:12,400
Speaker 1: everybody just had a gold ring, like a very simple

1799
01:29:12,680 --> 01:29:16,120
Speaker 1: you know what I mean exactly, So I will in

1800
01:29:16,160 --> 01:29:18,799
Speaker 1: the description of the episode, I'll put a little resource

1801
01:29:18,880 --> 01:29:21,160
Speaker 1: to reach out to. I mean, I doubt anybody that

1802
01:29:21,240 --> 01:29:23,439
Speaker 1: listens to our show knows, but you never know, they might,

1803
01:29:23,600 --> 01:29:25,080
Speaker 1: or they might tell a friend of a friend of

1804
01:29:25,120 --> 01:29:27,200
Speaker 1: a friend, and then I just want to help this

1805
01:29:27,280 --> 01:29:30,200
Speaker 1: lady out. I feel so horrible about it. I like

1806
01:29:30,280 --> 01:29:32,639
Speaker 1: that the lady at the hospital's helpen, but I feel

1807
01:29:32,640 --> 01:29:34,840
Speaker 1: like they could still. I feel like there's like a

1808
01:29:34,880 --> 01:29:36,559
Speaker 1: little bit more they can do. I guess it's just

1809
01:29:36,600 --> 01:29:40,840
Speaker 1: a touchy subject because you have I don't know how

1810
01:29:40,880 --> 01:29:43,559
Speaker 1: that goes with like hip it and stuff to be

1811
01:29:43,680 --> 01:29:48,360
Speaker 1: able to contact these people to ask them something like that.

1812
01:29:48,479 --> 01:29:52,040
Speaker 1: But I do feel if she's certain that someone at

1813
01:29:52,080 --> 01:29:54,639
Speaker 1: the hospital had given it to her after he died,

1814
01:29:54,640 --> 01:29:56,800
Speaker 1: then it's kind of their problem, so they need to

1815
01:29:56,840 --> 01:29:57,240
Speaker 1: fix this.

1816
01:29:58,160 --> 01:30:01,879
Speaker 3: No, I agree, one hundred percent, all right onto Questions

1817
01:30:01,920 --> 01:30:04,200
Speaker 3: of the Day. Every Friday at the at Mother Knows

1818
01:30:04,280 --> 01:30:06,920
Speaker 3: Death Instagram account, we put a question box up in

1819
01:30:06,960 --> 01:30:09,600
Speaker 3: our story that's there for twenty four hours and you

1820
01:30:09,640 --> 01:30:12,880
Speaker 3: guys can ask whatever you want. So one best way

1821
01:30:12,920 --> 01:30:15,360
Speaker 3: to practice interviewing for a PA program?

1822
01:30:15,439 --> 01:30:16,519
Speaker 2: Do you have any tips?

1823
01:30:17,280 --> 01:30:21,280
Speaker 1: I guess I would just say practice with someone if

1824
01:30:21,320 --> 01:30:25,599
Speaker 1: you do have someone that's maybe in that field that

1825
01:30:25,640 --> 01:30:27,720
Speaker 1: you know. I know a lot of students that are

1826
01:30:27,760 --> 01:30:32,800
Speaker 1: starting don't. But any kind of doctor maybe, especially if

1827
01:30:32,840 --> 01:30:36,120
Speaker 1: your family doctor will let you or whatever, because they

1828
01:30:36,160 --> 01:30:39,960
Speaker 1: might ask you more relevant questions that than a regular

1829
01:30:40,000 --> 01:30:42,760
Speaker 1: person would ask you. But even if you don't have

1830
01:30:42,920 --> 01:30:45,280
Speaker 1: any of that, just get your friend or your mom

1831
01:30:45,400 --> 01:30:48,599
Speaker 1: or dad or somebody that that's going to ask you

1832
01:30:48,680 --> 01:30:53,120
Speaker 1: lots of questions. And we interviews are like the worst

1833
01:30:53,160 --> 01:30:55,599
Speaker 1: thing ever, right, we could all agree, we could all

1834
01:30:55,640 --> 01:30:58,880
Speaker 1: agree on that, and they ask the worst questions ever.

1835
01:31:01,080 --> 01:31:02,280
Speaker 2: So try to maybe.

1836
01:31:02,360 --> 01:31:05,040
Speaker 1: I would even say to Google maybe and just look

1837
01:31:05,120 --> 01:31:06,599
Speaker 1: up like what are common questions?

1838
01:31:06,600 --> 01:31:09,720
Speaker 2: Because they always say what are your strengths and what

1839
01:31:09,760 --> 01:31:10,720
Speaker 2: are your weaknesses?

1840
01:31:10,840 --> 01:31:14,200
Speaker 1: And then I was actually just reading an article recently

1841
01:31:14,360 --> 01:31:17,880
Speaker 1: that was saying answers you should I wish I had

1842
01:31:17,880 --> 01:31:20,080
Speaker 1: it to give to you because I knew I should

1843
01:31:20,120 --> 01:31:22,320
Speaker 1: have book marked it, but it was it was just

1844
01:31:22,360 --> 01:31:25,519
Speaker 1: like answers you should give to these commonly asked questions

1845
01:31:25,520 --> 01:31:28,720
Speaker 1: and ones that don't look good, and one of them

1846
01:31:28,880 --> 01:31:32,519
Speaker 1: was you know how you're supposed to say those? And

1847
01:31:32,600 --> 01:31:35,080
Speaker 1: everybody says, it's just like, what are your weaknesses?

1848
01:31:35,400 --> 01:31:36,800
Speaker 2: Well, my weakness is is.

1849
01:31:36,760 --> 01:31:39,599
Speaker 1: That I'm a workaholic, so I come to work every

1850
01:31:39,640 --> 01:31:42,080
Speaker 1: day and sometimes I put too much stress on myself

1851
01:31:42,160 --> 01:31:45,320
Speaker 1: and they get they don't really like that.

1852
01:31:45,360 --> 01:31:49,120
Speaker 2: Apparently, I don't know why. I don't understand hr people.

1853
01:31:49,120 --> 01:31:52,519
Speaker 3: You know what ask better questions because I had a

1854
01:31:52,560 --> 01:31:56,320
Speaker 3: situation with this recently and the questions, I was just like,

1855
01:31:56,640 --> 01:32:00,800
Speaker 3: how do you seriously want me to answer this question authentically? Yeah,

1856
01:32:00,840 --> 01:32:02,960
Speaker 3: because if I answered the way I want to answer,

1857
01:32:03,080 --> 01:32:04,479
Speaker 3: I don't think you'll like it.

1858
01:32:04,520 --> 01:32:07,160
Speaker 1: And it depends what PA school you're going to and

1859
01:32:07,200 --> 01:32:12,160
Speaker 1: who's interviewing you, so they might just ask you questions

1860
01:32:12,200 --> 01:32:16,679
Speaker 1: about and which are valid if they ask you good questions,

1861
01:32:16,680 --> 01:32:20,080
Speaker 1: because I'll tell you in my program, we had a

1862
01:32:20,120 --> 01:32:23,040
Speaker 1: couple students that, like one of them couldn't deal with

1863
01:32:23,120 --> 01:32:25,200
Speaker 1: the smell of the gross anatomy lab and that was

1864
01:32:25,240 --> 01:32:28,360
Speaker 1: always an issue, and one of them, which might have

1865
01:32:28,479 --> 01:32:31,240
Speaker 1: actually been her, decided she didn't want to be a

1866
01:32:31,280 --> 01:32:33,640
Speaker 1: PA after she started doing it, and it was like

1867
01:32:33,680 --> 01:32:35,400
Speaker 1: a big struggle for her to get through it.

1868
01:32:35,479 --> 01:32:37,759
Speaker 2: She like not decided she couldn't.

1869
01:32:38,080 --> 01:32:39,920
Speaker 1: I feel like when I took gross anatomy with her,

1870
01:32:39,960 --> 01:32:41,600
Speaker 1: I was like, this chick can't be a PA, And

1871
01:32:41,600 --> 01:32:43,280
Speaker 1: then it ended up she went through like half the

1872
01:32:43,320 --> 01:32:48,200
Speaker 1: program and couldn't do it just because she just didn't

1873
01:32:48,200 --> 01:32:49,440
Speaker 1: have the personality.

1874
01:32:49,520 --> 01:32:50,479
Speaker 2: So I think if they.

1875
01:32:50,360 --> 01:32:53,760
Speaker 1: Ask you specific questions to see if you're gonna be

1876
01:32:53,800 --> 01:32:56,559
Speaker 1: able to handle this, because you're gonna have to rotate

1877
01:32:56,600 --> 01:32:59,200
Speaker 1: probably at the medical examiner's office at the children's hospital,

1878
01:32:59,200 --> 01:33:02,240
Speaker 1: and you're gonna see really horrible things like did children

1879
01:33:02,360 --> 01:33:06,720
Speaker 1: and people getting murdered and dying in horrific ways, and

1880
01:33:07,280 --> 01:33:10,320
Speaker 1: they want to make sure that you're mentally able to

1881
01:33:10,479 --> 01:33:14,160
Speaker 1: deal with that. The program is very stressful. They want

1882
01:33:14,200 --> 01:33:16,880
Speaker 1: to just make sure that because the worst thing in

1883
01:33:16,920 --> 01:33:19,519
Speaker 1: the world for a college is for you to drop out,

1884
01:33:19,600 --> 01:33:22,720
Speaker 1: and they don't have one hundred percent graduation success rate

1885
01:33:22,760 --> 01:33:25,200
Speaker 1: with their program, so they just want to make sure

1886
01:33:25,200 --> 01:33:28,559
Speaker 1: that you're up for the rigor of the program. So

1887
01:33:28,680 --> 01:33:33,599
Speaker 1: just make sure you exude confidence and you kind of

1888
01:33:33,640 --> 01:33:36,400
Speaker 1: look like you did your homework and you have you

1889
01:33:36,479 --> 01:33:39,360
Speaker 1: know what the job is. So and you're at an

1890
01:33:39,400 --> 01:33:41,800
Speaker 1: advantage because you have the Internet and stuff, which was

1891
01:33:41,880 --> 01:33:44,600
Speaker 1: like a lot of that stuff wasn't available to me

1892
01:33:44,680 --> 01:33:46,760
Speaker 1: as much as it is to you guys that you

1893
01:33:46,800 --> 01:33:49,800
Speaker 1: could see when you're a PA, what you walk into

1894
01:33:49,880 --> 01:33:52,400
Speaker 1: every day, how you do it. You sit down, you

1895
01:33:52,439 --> 01:33:54,880
Speaker 1: gross your specimens. You're going to be exposed to blood

1896
01:33:54,880 --> 01:33:58,360
Speaker 1: borne pathogens and chemicals. Are you okay with that and

1897
01:33:58,400 --> 01:33:59,080
Speaker 1: things like that?

1898
01:34:00,840 --> 01:34:03,519
Speaker 3: All Right, The next question, which I'm very much looking

1899
01:34:03,520 --> 01:34:07,400
Speaker 3: forward to. Is Maria, what is your funniest story about Nicole?

1900
01:34:08,479 --> 01:34:09,760
Speaker 2: Do you know what I'm gonna say?

1901
01:34:11,400 --> 01:34:11,639
Speaker 1: Name?

1902
01:34:11,880 --> 01:34:14,599
Speaker 2: There's probably so many of them, don't I don't want

1903
01:34:14,600 --> 01:34:16,720
Speaker 2: to know what you're going to say.

1904
01:34:16,960 --> 01:34:20,519
Speaker 3: My favorite and recent memory was we went to the

1905
01:34:20,600 --> 01:34:24,759
Speaker 3: craft store and we both had a cup of coffee.

1906
01:34:25,200 --> 01:34:32,280
Speaker 1: Oh god, I know what this is. And I said,

1907
01:34:32,439 --> 01:34:34,880
Speaker 1: this makes you look bad. This is not make me

1908
01:34:35,000 --> 01:34:38,080
Speaker 1: look bad. No, everyone will be everyone will be on

1909
01:34:38,120 --> 01:34:38,639
Speaker 1: my side.

1910
01:34:39,800 --> 01:34:40,320
Speaker 2: Oh god.

1911
01:34:42,400 --> 01:34:45,519
Speaker 3: So I said, are you done with your coffee yet?

1912
01:34:46,520 --> 01:34:48,559
Speaker 3: Je said yeah, And I took it and we were

1913
01:34:48,560 --> 01:34:51,320
Speaker 3: walking towards the parking lot and I turned around and

1914
01:34:51,360 --> 01:34:53,439
Speaker 3: I went and threw the coffee cups in the trash

1915
01:34:53,520 --> 01:34:56,240
Speaker 3: can next to the store. So when I turned around,

1916
01:34:56,800 --> 01:34:59,559
Speaker 3: she wasn't there. So I was like, oh, she must

1917
01:34:59,600 --> 01:35:01,680
Speaker 3: have walked back to the car really fast, because I

1918
01:35:01,720 --> 01:35:06,920
Speaker 3: was parked like far away, like twenty spots down. So

1919
01:35:06,960 --> 01:35:08,720
Speaker 3: I get to my car, and at the time, I

1920
01:35:08,760 --> 01:35:12,920
Speaker 3: had a gray GMC Terrain, and I can admit that

1921
01:35:13,080 --> 01:35:17,439
Speaker 3: probably fifty percent of Americans have gray SUVs, so it

1922
01:35:17,479 --> 01:35:20,720
Speaker 3: does look like everybody else's car. So I get to

1923
01:35:20,800 --> 01:35:29,160
Speaker 3: the car and she's not. I'm gonna pee myself down this.

1924
01:35:31,479 --> 01:35:38,160
Speaker 2: Oh my god, So she's not there, Oh my god,

1925
01:35:38,439 --> 01:35:40,400
Speaker 2: get your shit under control, please.

1926
01:35:42,360 --> 01:35:45,640
Speaker 1: This is like the twentieth time she told this story too,

1927
01:35:46,040 --> 01:35:48,599
Speaker 1: Like you would think, you would think it would get

1928
01:35:48,640 --> 01:35:51,320
Speaker 1: easier to tell this is.

1929
01:35:51,400 --> 01:35:58,360
Speaker 2: I called it anythy, I knew it all right, so

1930
01:35:58,720 --> 01:35:59,759
Speaker 2: sorry if you watching YouTube?

1931
01:36:01,560 --> 01:36:01,920
Speaker 3: All right.

1932
01:36:02,000 --> 01:36:03,960
Speaker 2: So then I'm like, where is she?

1933
01:36:04,080 --> 01:36:06,320
Speaker 3: I call her and she doesn't answer, And I turned

1934
01:36:06,360 --> 01:36:09,840
Speaker 3: around and I started walking back, and I see your

1935
01:36:10,000 --> 01:36:11,559
Speaker 3: bun in somebody else.

1936
01:36:14,400 --> 01:36:17,840
Speaker 2: Jesus Christ, she got in somebody else.

1937
01:36:21,720 --> 01:36:24,760
Speaker 3: Oh that's the best part is this?

1938
01:36:29,200 --> 01:36:30,799
Speaker 2: But then it wasn't even a GMC.

1939
01:36:31,320 --> 01:36:33,080
Speaker 1: The best part is what that I got out of

1940
01:36:33,120 --> 01:36:38,120
Speaker 1: the car and there was seven mid grade mid levels.

1941
01:36:38,120 --> 01:36:40,280
Speaker 2: Silver subs lined up.

1942
01:36:40,320 --> 01:36:44,000
Speaker 1: It's like the craft store mom car that you had

1943
01:36:44,000 --> 01:36:46,719
Speaker 1: the same car as everyone else, and I got into

1944
01:36:46,720 --> 01:36:47,280
Speaker 1: the wrong one.

1945
01:36:47,320 --> 01:36:52,000
Speaker 2: I'm sorry, Like, no, how is that my father? The

1946
01:36:52,080 --> 01:36:55,800
Speaker 2: old lady had like a crocheted jacket on the bathroom. No,

1947
01:36:55,920 --> 01:36:58,880
Speaker 2: it was quilted. It was Quilton in the.

1948
01:36:58,880 --> 01:37:02,000
Speaker 3: Car and moved the jacket and I didn't Maybe maybe

1949
01:37:02,080 --> 01:37:03,320
Speaker 3: this isn't my car.

1950
01:37:05,200 --> 01:37:07,160
Speaker 2: I don't know, Maybe it was Ricky. I don't know.

1951
01:37:08,280 --> 01:37:11,800
Speaker 3: I literally almost peed my pants when I mean, I'm

1952
01:37:11,800 --> 01:37:14,400
Speaker 3: almost gonna pee my pants right now recounting it, but

1953
01:37:14,880 --> 01:37:19,880
Speaker 3: I really almost pissed my pants when it happened. And

1954
01:37:19,880 --> 01:37:22,240
Speaker 3: and then I it was laughing the entire drive home.

1955
01:37:22,640 --> 01:37:25,400
Speaker 3: In the second I made contact with Gabe, I couldn't

1956
01:37:25,439 --> 01:37:27,960
Speaker 3: breathe telling him, And then.

1957
01:37:27,840 --> 01:37:29,400
Speaker 2: I called Louis and I called Momo.

1958
01:37:29,760 --> 01:37:32,600
Speaker 1: I just I don't listen, like I understand that you

1959
01:37:32,680 --> 01:37:36,920
Speaker 1: think it, that it was funny, but like it's not

1960
01:37:37,120 --> 01:37:40,760
Speaker 1: like you have a pink car and every car is

1961
01:37:40,800 --> 01:37:43,000
Speaker 1: like black and white. And then that I went into

1962
01:37:43,040 --> 01:37:46,720
Speaker 1: the wrong car. You have the most basic, bitch car

1963
01:37:46,920 --> 01:37:50,840
Speaker 1: that like, there's nothing that the car looked the same

1964
01:37:50,880 --> 01:37:54,360
Speaker 1: it was. There's nothing about it. There's no like little

1965
01:37:54,400 --> 01:37:55,520
Speaker 1: dice hanging.

1966
01:37:55,200 --> 01:37:58,200
Speaker 2: In the mirror or a sticker on the back of

1967
01:37:58,240 --> 01:37:58,599
Speaker 2: the car.

1968
01:37:58,720 --> 01:38:02,800
Speaker 1: It just looks like everybody's car. It's the same as

1969
01:38:02,840 --> 01:38:06,439
Speaker 1: that car. So I just picked the wrong one out

1970
01:38:06,439 --> 01:38:09,800
Speaker 1: of it. I should have I should have taken photos,

1971
01:38:09,840 --> 01:38:12,519
Speaker 1: like I should have taken a three sixty video of

1972
01:38:12,560 --> 01:38:15,479
Speaker 1: the cars in the parking lot, because everybody would be like, okay,

1973
01:38:15,520 --> 01:38:17,120
Speaker 1: well clearly.

1974
01:38:16,800 --> 01:38:17,479
Speaker 2: But you didn't.

1975
01:38:17,720 --> 01:38:20,000
Speaker 3: You didn't think when you got in and saw clearly

1976
01:38:20,040 --> 01:38:22,920
Speaker 3: a grandmother's jacket on the passenger seat, that it was

1977
01:38:23,000 --> 01:38:24,040
Speaker 3: not the right car.

1978
01:38:24,080 --> 01:38:24,479
Speaker 2: I don't know.

1979
01:38:24,600 --> 01:38:27,840
Speaker 1: You look where you're wearing right now. You look like

1980
01:38:27,880 --> 01:38:31,799
Speaker 1: you're wearing a fucking Doiley, Like what are you talking about?

1981
01:38:31,840 --> 01:38:32,960
Speaker 2: The designer croach?

1982
01:38:33,200 --> 01:38:35,519
Speaker 1: Look like you look like you're wearing a grandmam sweater

1983
01:38:35,640 --> 01:38:38,479
Speaker 1: right now? So like what why would I think anything

1984
01:38:38,520 --> 01:38:38,720
Speaker 1: of it?

1985
01:38:38,800 --> 01:38:39,280
Speaker 2: I don't know.

1986
01:38:40,360 --> 01:38:43,040
Speaker 3: So to answer your question, that was a funny story, ever,

1987
01:38:43,160 --> 01:38:44,160
Speaker 3: because clearly.

1988
01:38:43,880 --> 01:38:47,160
Speaker 1: That was like three years you put like a sticker

1989
01:38:47,600 --> 01:38:48,840
Speaker 1: on the back of your car.

1990
01:38:49,840 --> 01:38:53,000
Speaker 3: Well I have a different car now, that's like, can't

1991
01:38:53,040 --> 01:38:57,080
Speaker 3: be more obvious. But at the time the car the

1992
01:38:57,120 --> 01:38:59,200
Speaker 3: best is you're trying to bully me, being like you

1993
01:38:59,200 --> 01:39:01,960
Speaker 3: shouldn't have a baby took bitch car, Like, no, you

1994
01:39:02,000 --> 01:39:04,519
Speaker 3: shouldn't have moved the old lady's daggedge. She probably got

1995
01:39:04,600 --> 01:39:06,960
Speaker 3: in the car and then thought I got broke into Well.

1996
01:39:06,800 --> 01:39:10,000
Speaker 2: She should have left her door unlocked. Who leaves her

1997
01:39:10,040 --> 01:39:10,719
Speaker 2: door unlocked?

1998
01:39:11,720 --> 01:39:15,880
Speaker 3: Seeing the silhouette of your bun through this lady's fucking car.

1999
01:39:16,080 --> 01:39:19,040
Speaker 3: I literally I can't believe I didn't pee my pants.

2000
01:39:19,240 --> 01:39:21,160
Speaker 3: I never laughed that hard in my entire life.

2001
01:39:22,600 --> 01:39:26,080
Speaker 2: I don't think it's that Honestly, it was honestly iconic.

2002
01:39:26,680 --> 01:39:30,599
Speaker 3: Okay, last question, how tall are we?

2003
01:39:30,880 --> 01:39:35,400
Speaker 2: I am five foot four, I'm almost five nine. Yeah,

2004
01:39:35,439 --> 01:39:36,160
Speaker 2: you're a giant.

2005
01:39:36,520 --> 01:39:36,960
Speaker 3: Geez.

2006
01:39:38,000 --> 01:39:38,240
Speaker 2: No.

2007
01:39:38,520 --> 01:39:40,599
Speaker 1: I was showing the girls. Yeah, I was showing the girls.

2008
01:39:41,800 --> 01:39:45,840
Speaker 1: There's a there's a woman on the Chinese basketball team

2009
01:39:45,920 --> 01:39:50,599
Speaker 1: who's I don't know her name. Sorry, she's six foot eleven, dude,

2010
01:39:50,640 --> 01:39:54,799
Speaker 1: she's taller than shack a woman, And I was showing

2011
01:39:54,800 --> 01:39:59,040
Speaker 1: the girls the videos of her playing because it's I mean,

2012
01:39:59,120 --> 01:40:02,200
Speaker 1: I guess you can't get you can't like not play

2013
01:40:02,240 --> 01:40:05,640
Speaker 1: a sport because you have a serious anatomical advantage. But

2014
01:40:06,160 --> 01:40:10,120
Speaker 1: it's just like here's the ball and like I'm putting

2015
01:40:10,200 --> 01:40:13,360
Speaker 1: it in a basket, Like it's so ridiculous. So there

2016
01:40:13,439 --> 01:40:15,479
Speaker 1: was a video that was pointing to all of the

2017
01:40:15,520 --> 01:40:18,240
Speaker 1: players and the one woman that was standing next to

2018
01:40:18,240 --> 01:40:20,400
Speaker 1: her was five nine, who looked like she was like

2019
01:40:20,479 --> 01:40:22,120
Speaker 1: up to her waist. And I was telling the girls,

2020
01:40:22,160 --> 01:40:24,800
Speaker 1: I was like, that's like me standing next to this

2021
01:40:24,840 --> 01:40:25,679
Speaker 1: woman right now.

2022
01:40:26,640 --> 01:40:30,320
Speaker 3: That's The Flyers have anue goalie that I think is

2023
01:40:30,360 --> 01:40:33,800
Speaker 3: six seven, and most of I mean all of those

2024
01:40:33,800 --> 01:40:35,840
Speaker 3: guys next to him look like they're so short and

2025
01:40:35,840 --> 01:40:38,080
Speaker 3: they're all like six four six five.

2026
01:40:38,160 --> 01:40:40,360
Speaker 2: You know, did you ever see the photo of.

2027
01:40:41,880 --> 01:40:45,880
Speaker 1: Shaq standing next to Simone what's her name, Simone Bias.

2028
01:40:45,520 --> 01:40:46,560
Speaker 2: Simone Biles.

2029
01:40:46,840 --> 01:40:48,960
Speaker 1: There's a picture of them standing next to each other,

2030
01:40:49,040 --> 01:40:51,920
Speaker 1: and it it looks like it's photoshopped, like it doesn't

2031
01:40:51,920 --> 01:40:55,599
Speaker 1: look real. It's so crazy because she's she's so little.

2032
01:40:55,680 --> 01:40:59,599
Speaker 1: She's four to eight, which is so so she's she's

2033
01:40:59,640 --> 01:41:01,000
Speaker 1: such a pets he little.

2034
01:41:00,880 --> 01:41:08,559
Speaker 2: She's four eight, yes, no, yes, and he's six. I

2035
01:41:08,600 --> 01:41:08,960
Speaker 2: don't know.

2036
01:41:09,040 --> 01:41:11,639
Speaker 1: I guess he's not six eleven because that other woman

2037
01:41:11,800 --> 01:41:13,599
Speaker 1: is what are you looking up right now?

2038
01:41:13,600 --> 01:41:17,960
Speaker 2: Because you don't believe? Yeah, I am, I don't all right,

2039
01:41:18,000 --> 01:41:23,719
Speaker 2: she is for eight for Liian is four eight, it's

2040
01:41:23,880 --> 01:41:24,920
Speaker 2: Shack seven to one.

2041
01:41:25,720 --> 01:41:28,360
Speaker 1: Oh, well, maybe she is. I thought they said that

2042
01:41:28,720 --> 01:41:31,320
Speaker 1: she was taller. Maybe it was someone else. I thought

2043
01:41:31,600 --> 01:41:32,240
Speaker 1: they said that.

2044
01:41:34,040 --> 01:41:39,160
Speaker 2: Shaq was. She was taller than Jack. Who's taller than Jack?

2045
01:41:40,080 --> 01:41:41,759
Speaker 2: The lady?

2046
01:41:42,600 --> 01:41:45,400
Speaker 3: Oh, the basketball player. I thought you were saying to Mobile.

2047
01:41:45,439 --> 01:41:47,960
Speaker 3: I was like, what are you talking about? No, he

2048
01:41:48,160 --> 01:41:50,679
Speaker 3: it's well, Google says he said it would. But if

2049
01:41:50,680 --> 01:41:52,360
Speaker 3: you look up like someone look up.

2050
01:41:52,320 --> 01:41:53,559
Speaker 2: The picture real quick.

2051
01:41:53,880 --> 01:41:56,240
Speaker 1: That says, okay, it just puts it, just puts some

2052
01:41:56,360 --> 01:41:57,920
Speaker 1: mobiles in jack, it'll come up.

2053
01:41:59,040 --> 01:42:04,760
Speaker 2: It's so outright. I love it. I love how there's like, guy,

2054
01:42:04,840 --> 01:42:09,679
Speaker 2: I know, right, it doesn't look real. That is crazy.

2055
01:42:09,880 --> 01:42:11,120
Speaker 2: It doesn't look real right.

2056
01:42:12,080 --> 01:42:16,760
Speaker 1: No, it's so cool though that people have such anatomical differences,

2057
01:42:16,800 --> 01:42:17,439
Speaker 1: you know what I mean.

2058
01:42:18,240 --> 01:42:21,920
Speaker 2: I didn't realize that she was four eight. That's nuts.

2059
01:42:22,880 --> 01:42:25,360
Speaker 3: Isn't her husband like an NFL player? He must be

2060
01:42:25,400 --> 01:42:26,240
Speaker 3: pretty tall.

2061
01:42:26,040 --> 01:42:28,240
Speaker 2: Too, Yeah, I don't. I don't really know.

2062
01:42:29,880 --> 01:42:32,320
Speaker 3: All right, Well, I hope you guys enjoyed this. It's

2063
01:42:32,360 --> 01:42:35,280
Speaker 3: definitely a long one. Don't forget to submit your stories

2064
01:42:35,320 --> 01:42:38,480
Speaker 3: for six Shocking Stories as well. That's stories at Mothernosdeath

2065
01:42:38,479 --> 01:42:41,160
Speaker 3: dot com. Also, please give us a rating, leave us

2066
01:42:41,200 --> 01:42:43,680
Speaker 3: a review that really helps us bump the show up

2067
01:42:43,720 --> 01:42:45,519
Speaker 3: so we could keep doing this for you guys, because

2068
01:42:45,520 --> 01:42:47,960
Speaker 3: we love you. And yeah, like the right time right,

2069
01:42:48,080 --> 01:42:50,439
Speaker 3: how we're morons that we don't know what boneless wings

2070
01:42:50,439 --> 01:42:54,760
Speaker 3: are and how Maria can't keep herself composed to tell

2071
01:42:54,800 --> 01:42:55,280
Speaker 3: a story.

2072
01:42:56,400 --> 01:42:58,599
Speaker 2: No, I I.

2073
01:42:58,479 --> 01:43:00,960
Speaker 3: Definitely have a problem where if I well, now I'm

2074
01:43:00,960 --> 01:43:02,720
Speaker 3: gonna have like asthma for the rest of the day

2075
01:43:02,720 --> 01:43:06,759
Speaker 3: from this too. Whenever I laughed this hard, I definitely

2076
01:43:06,760 --> 01:43:08,799
Speaker 3: have a problem that when i start getting the giggles,

2077
01:43:08,920 --> 01:43:10,960
Speaker 3: like I just can't stop. It's an all day thing,

2078
01:43:11,080 --> 01:43:14,000
Speaker 3: especially when I'm around Louis and Louie and I must

2079
01:43:14,040 --> 01:43:17,240
Speaker 3: have this like secret like language in our brains. But

2080
01:43:17,920 --> 01:43:20,600
Speaker 3: sometimes when stuff happens that he's around, I just I

2081
01:43:20,680 --> 01:43:23,800
Speaker 3: can't stop but laughing, especially when we're with like pop up,

2082
01:43:24,000 --> 01:43:27,400
Speaker 3: and he says, when he's on it, you know what's it?

2083
01:43:27,680 --> 01:43:29,960
Speaker 1: We have to tell this really quick. What he said.

2084
01:43:30,800 --> 01:43:36,040
Speaker 1: He was trying to describe something. It was all of

2085
01:43:36,120 --> 01:43:38,479
Speaker 1: us sitting at the table waiting dinner, and he was

2086
01:43:38,520 --> 01:43:38,920
Speaker 1: trying to.

2087
01:43:39,040 --> 01:43:40,760
Speaker 2: He was describing a wheelchair.

2088
01:43:40,840 --> 01:43:43,640
Speaker 1: He was trying to describe a wheelchair, and he was

2089
01:43:43,680 --> 01:43:47,800
Speaker 1: trying to describe that it was manual and you had

2090
01:43:47,800 --> 01:43:51,680
Speaker 1: to like you had to like move a lever with

2091
01:43:51,760 --> 01:43:54,360
Speaker 1: your hands. And he kept saying that you had to

2092
01:43:54,400 --> 01:43:55,439
Speaker 1: give it a hand job.

2093
01:43:56,320 --> 01:43:59,320
Speaker 2: No, yes, wasn't he saying you had to?

2094
01:43:59,479 --> 01:44:01,599
Speaker 3: He said it it's not an electric one. It's one

2095
01:44:01,640 --> 01:44:05,240
Speaker 3: of those hand job on and he kept saying it.

2096
01:44:05,680 --> 01:44:07,800
Speaker 1: And Gabe was sitting right next to me, and he

2097
01:44:07,920 --> 01:44:12,479
Speaker 1: turned around and his profile like I saw the ball

2098
01:44:12,600 --> 01:44:15,479
Speaker 1: and curvature of his eye like pop out, and he like,

2099
01:44:15,640 --> 01:44:18,960
Speaker 1: look cause, like you know, gab Gabes not one of us.

2100
01:44:19,000 --> 01:44:21,960
Speaker 1: He's like, he's the extended family. So he's like, oh

2101
01:44:22,000 --> 01:44:23,680
Speaker 1: my god, can I laugh about this right now? And

2102
01:44:23,720 --> 01:44:26,599
Speaker 1: his eyes popped out so hard it was hilarious, and

2103
01:44:26,640 --> 01:44:29,280
Speaker 1: we all started crying laughing at the same time.

2104
01:44:29,600 --> 01:44:31,720
Speaker 2: And he gets so mad at us. It's like you

2105
01:44:31,880 --> 01:44:36,040
Speaker 2: said it, Oh my god. All right, guys, we'll see

2106
01:44:36,040 --> 01:44:38,120
Speaker 2: you next week. And we'll see you next week.

2107
01:44:42,200 --> 01:44:46,080
Speaker 1: Thank you for listening to Mother nos Death. As a reminder,

2108
01:44:46,280 --> 01:44:50,040
Speaker 1: my training is as a pathologists assistant. I have a

2109
01:44:50,080 --> 01:44:54,439
Speaker 1: master's level education and specialize in anatomy and pathology education.

2110
01:44:55,600 --> 01:44:57,720
Speaker 1: I am not a doctor and I have not diagnosed

2111
01:44:57,800 --> 01:45:01,439
Speaker 1: or treated anyone dead or alive without the assistance of

2112
01:45:01,479 --> 01:45:06,719
Speaker 1: a licensed medical doctor. This show, my website, and social

2113
01:45:06,760 --> 01:45:10,280
Speaker 1: media accounts are designed to educate and inform people based

2114
01:45:10,280 --> 01:45:14,240
Speaker 1: on my experience working in pathology, so they can make

2115
01:45:14,439 --> 01:45:19,120
Speaker 1: healthier decisions regarding their life and well being. Always remember

2116
01:45:19,120 --> 01:45:22,240
Speaker 1: that science is changing every day and the opinions expressed

2117
01:45:22,240 --> 01:45:24,920
Speaker 1: in this episode are based on my knowledge of those

2118
01:45:24,960 --> 01:45:28,759
Speaker 1: subjects at the time of publication. If you are having

2119
01:45:28,760 --> 01:45:32,760
Speaker 1: a medical problem, have a medical question, or having a

2120
01:45:32,760 --> 01:45:37,120
Speaker 1: medical emergency, please contact your physician or visit an urgent

2121
01:45:37,160 --> 01:45:42,120
Speaker 1: care center, emergency room, or hospital. Please rate, review, and

2122
01:45:42,240 --> 01:45:46,760
Speaker 1: subscribe to Mother Knows Death on Apple, Spotify, YouTube, or

2123
01:45:46,800 --> 01:45:48,240
Speaker 1: anywhere you get podcasts.

2124
01:45:48,760 --> 01:45:52,880
Speaker 2: Thanks