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

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Speaker 2: Hi everyone walk on The Mother Knows Death. Let's get

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Speaker 2: started with the story of the day. This fast story

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Speaker 2: is really disturbing. So a twenty six year old was

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Speaker 2: taking what was believed to be, you know, a simple

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Speaker 2: routine Uber drive from her job to her house, and

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Speaker 2: she's on her phone, as most people are when they're

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Speaker 2: riding in the back seat, and notices some movement going

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Speaker 2: on in the front So she looks away from her

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Speaker 2: phone and notices that the Uber driver is masturbating in

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Speaker 2: the front seat. Can you even imagine being in this situation?

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Speaker 2: I was in a situation I don't know, you claim,

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Speaker 2: but luckily I had luckily I had people around me.

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Speaker 2: But yeah, I mean, it's so weird. I don't know

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Speaker 2: how to explain it. It's just it's something that's so

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Speaker 2: private usually, and when someone just does something like that

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Speaker 2: in public, you're just absolutely shocked. You can't even believe

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Speaker 2: what you're actually looking at. You're just looking like, is

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Speaker 2: this really happening right now? And then when you realize

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Speaker 2: it's happening, you get kind of grossed out that a

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Speaker 2: person would feel comfortable enough to do that in front

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Speaker 2: of a complete strain, and.

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Speaker 3: Like your case with the airplane, it's like you're in

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Speaker 3: a public space, but you're still somewhat in this private

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Speaker 3: little section, you know. So this girl's like trapped in

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Speaker 3: this car, panicking about what to do. She doesn't want

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Speaker 3: to call the cops, and she doesn't necessarily want to

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Speaker 3: speak up because I mean, clearly, if he's doing this,

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Speaker 3: he's not right. So she's afraid she's gonna get raped

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Speaker 3: or assaulted or something. So you know, she's kind of

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Speaker 3: sitting there like, I don't know what to do. She

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Speaker 3: notices the doors are locked. It's really scary to be

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Speaker 3: in this position as a woman. So she ends up

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Speaker 3: texting her boyfriend and her mom her location, and she

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Speaker 3: texts her mom and says, I'm gonna be home in

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Speaker 3: about ten minutes. Can you please wait for me outside

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Speaker 3: because this uber driver's penis is out and I don't

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Speaker 3: know what to do.

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Speaker 2: So I can't imagine getting that call from you.

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Speaker 3: Well, first of all, you have your notifications off, so

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Speaker 3: I was thinking, in this situation I texted you probably

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Speaker 3: wouldn't even get it.

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Speaker 2: They'll way later. I know. I am really bad with that,

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Speaker 2: but I just don't like hearing my phone.

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Speaker 3: Yeah, so you know, they pull up to the house

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Speaker 3: and she had to ask him to unlock the doors,

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Speaker 3: and then when he gets out, he just said thank

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Speaker 3: you so much in a creepy tone, which absolutely disgusting.

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Speaker 3: So she reported this to Uber, to which they wouldn't

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Speaker 3: let her know immediately or not if he was fired

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Speaker 3: or banned from the app because of their quote privacy policies,

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Speaker 3: which she was like, well, I certainly don't feel safe

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Speaker 3: ordering one ever again in this area because what if

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Speaker 3: she got him again, not knowing if he still.

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Speaker 2: Had a job or not.

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Speaker 3: But she also reported it to the police and he

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Speaker 3: ended up getting arrested for indecent behavior. But the worst

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Speaker 3: part of this story is that he pled guilty and

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Speaker 3: was sentenced to four weeks, which in my opinion is

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Speaker 3: definitely not enough time, and then they ended up just

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Speaker 3: scrubbing the whole sentence.

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Speaker 2: And he got a fine.

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Speaker 1: Yeah.

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Speaker 2: I mean, if I was hard that I would be

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Speaker 2: most scared that he I mean, he knows that it

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Speaker 2: was her that reported I'm sure, and now he knows

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Speaker 2: where she lives, and he's embarrassed. He had to well,

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Speaker 2: maybe had to do some time, but not even that

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Speaker 2: he just had a good accord. He'd hire a lawyer,

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Speaker 2: and you don't want him coming back and retaliating because

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Speaker 2: of that. So I would be scared just in that circumstance,

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Speaker 2: and I would actually love to hear in the comments

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Speaker 2: section of YouTube how you guys feel about this, if

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Speaker 2: you've ever had an experience with Uber or a ride share,

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Speaker 2: in particular of a situation where you didn't feel safe.

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Speaker 2: It does make me think of something that I've thought

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Speaker 2: of before on several occasions that I wish that nine

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Speaker 2: to one one somehow had a texting well so they do, so,

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Speaker 2: oh okay, where because I don't know about it? Uber does,

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Speaker 2: I don't.

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Speaker 3: So this case was in Australia, so I don't know

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Speaker 3: if this feature is rolled out in every country that

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Speaker 3: Uber is available, but in the US at least they

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Speaker 3: have a safety toolkit so you can open Uber when

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Speaker 3: you're on the ride, and there's a safety toolkit so

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Speaker 3: you could open it, and a couple options are you

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Speaker 3: could like I could share my location with you so

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Speaker 3: you could follow the track of the ride, because you know,

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Speaker 3: if you're in an Uber it's geo tracking your entire drive,

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Speaker 3: So that's an option. You can send it to a

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Speaker 3: loved one, or there's an option to call nine one one.

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Speaker 3: I'm assuming if you're in an accident. There's another option, however,

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Speaker 3: to contact nine one one via a texting system. So

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Speaker 3: I believe at first it matches you with somebody that

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Speaker 3: works at ADT the security system, and you talk to

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Speaker 3: them until you feel like you're dropped off and you're safe.

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Speaker 3: But if the situation is more severe and you feel

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Speaker 3: like you're in immediate danger, they can set you up

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Speaker 3: with this nine to one one texting service where it'll

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Speaker 3: then give the the police department your location of the

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Speaker 3: ride and follow them.

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Speaker 2: And I'm assuming in.

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Speaker 3: Really severe situations they will track down the ride and

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Speaker 3: pull the car over.

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Speaker 2: Yeah, I mean that's I was just talking in general,

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Speaker 2: Like I think about if somebody breaks into your house

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Speaker 2: at night and you hear someone in your house when

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Speaker 2: no one's supposed to be downstairs or something, if you

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Speaker 2: could just text some nine one one system and say, hey,

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Speaker 2: can you send an officer to my house? I think

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Speaker 2: someone's in my house. Yeah, Because once you make a

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Speaker 2: phone call and you have to talk to someone, you're

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Speaker 2: making noise, right, And there's probably lots of situations where

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Speaker 2: you can't make a phone call because even think about

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Speaker 2: that in cases of domestic abuse or something like that.

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Speaker 2: It's just it would be kind of a cool thing

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Speaker 2: to have. I don't know, I always think about that,

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Speaker 2: but yeah, I mean with Uber, it's so it's just

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Speaker 2: it's scary because you are going in the car with

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Speaker 2: a complete stranger, which is what we've been told our

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Speaker 2: whole life not to do. Yeah, and you know it is.

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Speaker 3: It is really weird because you know, Uber says they

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Speaker 3: do background checks and everything, and even if that's true,

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Speaker 3: somebody doesn't have to have committed something in the past

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Speaker 3: to commit something in the future, so we have to

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Speaker 3: think about that. People can very well have ill intentioned

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Speaker 3: their entire life and not have technically committed a crime

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Speaker 3: or not been caught enough to have it come up

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Speaker 3: on a background check.

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Speaker 2: So that's scary.

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Speaker 3: And I was even at a party last month where

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Speaker 3: I had taken an Uber to my husband's work, you know,

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Speaker 3: like a month or two ago, and the driver I

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Speaker 3: had was fine enough, but I got in the car

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Speaker 3: and he said, getting into trouble tonight, And I'm like, okay,

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Speaker 3: and you know, he was an older guy, and Ricky

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Speaker 3: was like he was probably just being a boomer about it,

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Speaker 3: like a dad exactly. And you know, I don't know.

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Speaker 3: I'm just like, you don't understand what it's like to

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Speaker 3: be a girl and just have somebody say a comment

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Speaker 3: like that, because I'm like, great, this guy picked me

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Speaker 3: up at my house.

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Speaker 2: So there's like, I'm Maria, Let's let's give it some context.

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Speaker 2: Actually that ever since Maria was like legit ten years old,

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Speaker 2: she has accused every single person in her presence of me.

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Speaker 3: But I have not accused them a stranger. I've not

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Speaker 3: accused every single person, like to their face.

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Speaker 2: Well in your head, yeah, like you're always just like

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Speaker 2: that person was outside of our apartment and I'd be like,

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Speaker 2: well they live next door. No, they're a pedophile.

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Speaker 3: I'm overly cautious of people. So I just think, I

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Speaker 3: don't know. It just didn't set a good tone for

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Speaker 3: my ride. So then I mean, and then the guy

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Speaker 3: proceeded to dump his entire life story on me the

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Speaker 3: forty minute drive, so when I just wanted to read

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Speaker 3: my kindle. So I'm at a party later that night

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Speaker 3: just talking about how funny it is that the situation happened,

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Speaker 3: and every girl at this party is like proceeding that.

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Speaker 3: Everybody's telling their own version of a creepy Uber story,

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Speaker 3: one of which where this girl said she was a

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Speaker 3: little tipsy after going out. She was being responsible, called

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Speaker 3: an uber and you know, she was in this car

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Speaker 3: and then he went down a really weird alleyway which

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Speaker 3: is off the normal trajectory of their ride, so much

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Speaker 3: so that she got out of the car in the

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Speaker 3: middle of a bad neighborhood at three o'clock in the morning.

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Speaker 3: It was like, I'm not getting back in there with you.

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Speaker 2: Oh my god. We need to do we have to

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Speaker 2: say if we could figure out how to get phone

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Speaker 2: calls and do like a creepy Uber Confessions Hour or

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Speaker 2: something like that.

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Speaker 3: So, I mean, obviously a bunch of incidents had to

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Speaker 3: happen for them to unroll this feature, or yeah, that's

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Speaker 3: what I.

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Speaker 2: Was gonna say.

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Speaker 3: So I don't know if this, like, if you're from

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Speaker 3: Australia and you take Uber, let us know if this

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Speaker 3: is a feature. I even understand from her perspective, if

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Speaker 3: it was a feature, just still being so scared to

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Speaker 3: even you know, attempt to fix this in the car,

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Speaker 3: being scared that he might turn around and assault her

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Speaker 3: between the time somebody got to the car and that

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Speaker 3: she doesn't know if they're going to contact him or something.

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Speaker 3: So I just think this is really scary and we

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Speaker 3: don't realize how vulnerable we are in these ride chair situations.

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Speaker 2: Sometimes we're on airplane. Yes, all right, let's get let's

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Speaker 2: get into the celebrity.

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Speaker 3: N Na dough Brev, most popularly known for being a

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Speaker 3: Vampire Diaries. She's recovering after getting an accident with an

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Speaker 3: e bike.

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Speaker 2: So she's in a.

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Speaker 3: Relationship with Olympic snowboarder Sean White, who I will say

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Speaker 3: was my first ginger celebrity crush. Everw aka he is, like,

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Speaker 3: so not the flying tomato. He's way vetter now that

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Speaker 3: he got a short haircut. But they're always posting. You know,

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Speaker 3: he's an Olympic snowboarder and a skateboarder too, so he

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Speaker 3: is an adventures guy and they're always posting online about

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Speaker 3: these inventurous things they're doing. So she went on Instagram

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Speaker 3: and posted a series of pictures saying how it started

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Speaker 3: versus how it's going. So the first picture was her

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Speaker 3: on this e bike, and the second picture of her

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Speaker 3: was in a hospital with a neck brace, a leg

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Speaker 3: brace and IV and everything. So she hasn't really come

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Speaker 3: forward into the exact details of this accident, but we

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Speaker 3: know she was involved in the accident related to this bike.

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Speaker 2: These bikes are they're kind of a misconception of a

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Speaker 2: bike when really it's kind of a low grade motorcycle

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Speaker 2: in a way, and people, especially like parents, buy them

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Speaker 2: for their kids, and they can go up to thirty

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Speaker 2: miles an hour almost, which is which is double of

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Speaker 2: the fastest you could do on the bike by yourself

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Speaker 2: or an average person, right, And of course, like emergency

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Speaker 2: rooms and stuff are just seeing more severe injuries with

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Speaker 2: these e bikes because they go so fast. And if

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Speaker 2: you look at this picture of her on a bike,

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Speaker 2: it looks like she's on a motorcycle that's not a bike.

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Speaker 2: It's frickin huge, so just the weight of that could

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Speaker 2: hurt you too. And then there's this other weird phenomenon

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Speaker 2: going on that people aren't wearing helmets as much as

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Speaker 2: they used to, so hospitals are seeing this huge increase

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Speaker 2: in head trauma because people are especially falling off of

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Speaker 2: these e bikes, So it's essentially like being on a

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Speaker 2: motorcycle that's going twenty five or thirty miles an hour

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Speaker 2: and falling off to the ground and hitting your head,

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Speaker 2: So of course you're gonna have major head troubles.

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Speaker 3: The same could be said. There's these e scooters and

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Speaker 3: popping up all over cities.

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Speaker 2: I hate those time.

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Speaker 3: I actually fell off one in Venice like five years

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Speaker 3: ago and hurt my leg pretty bad because Ricky decided

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Speaker 3: to do a flip trick right in front of me

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Speaker 3: as an inexperience. And we all know I'm like the

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Speaker 3: most uncoordinated person in our family, so when I had

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Speaker 3: just stop quickly, it didn't go well. But yeah, they're

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Speaker 3: all over cities, and you know, when you're you have

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Speaker 3: to download an app. I think Lyft actually has a

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Speaker 3: feature on it where you could get a scooter, and

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Speaker 3: then there's other ones. But when you are setting up

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Speaker 3: the app to unlock the bike to ride around, it'll

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Speaker 3: tell you to wear a helmet.

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Speaker 2: But I'm like, I'm in.

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Speaker 3: A different city. Where am I getting a helmet right now?

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Speaker 3: I don't give a shit, right, So I think that's

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Speaker 3: most people's atague.

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Speaker 2: Yeah, and they're weird, like the only thing I could.

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Speaker 2: I just think it would just be totally improbable. Because

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Speaker 2: even if you made helmet liners, let's say, and just

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Speaker 2: hung them on every one of the scooters like we

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Speaker 2: just saw them in LA and they do look fun.

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Speaker 2: But I said to the kids, like, I can't in

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Speaker 2: good conscience let you do this because you're gonna get hurt.

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Speaker 2: And I can't put you on here with me, like

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Speaker 2: we're gonna fall and get hurt. And this is everything

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Speaker 2: I talk about all the time. We can't do this.

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Speaker 2: But helmets are different sizes for different heads, so you

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Speaker 2: wouldn't even be able to really do something like that

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Speaker 2: with the ride share thing. So it's just you just

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Speaker 2: have to take your chance.

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Speaker 3: But it also just be worried about like lice and

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Speaker 3: whatever else and just them not proper.

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Speaker 2: Well, that's why I was saying, like if they had liners,

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Speaker 2: you know what I mean, but not that that would

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Speaker 2: really I don't know what I'm even saying, but I

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Speaker 2: think about that too. I see I saw so many

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Speaker 2: people on them, and I'm just like, God, they're in

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Speaker 2: the street there, you know. It just makes me nervous

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Speaker 2: and probably overall, if you did the statistics how many

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Speaker 2: are used a day versus like how many injuries there are.

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Speaker 2: It's probably not that bad, but the medical associations actually

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Speaker 2: recommend that, especially if children get them, that they should

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Speaker 2: take like specific classes for e bikes because they're different

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Speaker 2: than regular bicycles that parents don't usually understand. Okay, let's

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Speaker 2: get into freak accidents.

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Speaker 3: So a flight going from London to Singapore experienced such

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Speaker 3: severe turbulence that one person died and thirty people were injured.

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Speaker 3: So on the trip, the Boeing seven seven seven shocker

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Speaker 3: hit an air pocket over Thailand and requested to make

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Speaker 3: an emergency landing in Bangkok. So we like, I always

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Speaker 3: hear this term air pocket, but what is it? So

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Speaker 3: according to Google, it's a disruption in the air current

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Speaker 3: that could cause a plane to shake or may result

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Speaker 3: in a temporary loss of attitude like total new fear unlocked.

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Speaker 2: Right, add a loss of attitude?

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Speaker 3: We had change the freak accidents to be gone fear unlocked.

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Speaker 2: I feel like no, Well, yeah, because I was listening

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Speaker 2: to our local New Jersey radio today and a pilot

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Speaker 2: called and was talking about these things and was just

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Speaker 2: saying like he was he was making it equivalent to

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Speaker 2: driving in black ice. Like it's something that you really

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Speaker 2: can't see come in and it just happens, and it

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Speaker 2: could be really severe and there's kind of nothing that

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Speaker 2: they can do about. Yeah.

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Speaker 3: So the plane was carrying two hundred and eleven passengers

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Speaker 3: and eighteen crew members, so thirty of them were injured,

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Speaker 3: some of them with some life threatening injuries, mostly to

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Speaker 3: the head. I can only assume based on previous stories

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Speaker 3: we reported on that they weren't wearing seatbelts, which caused

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Speaker 3: them to lift and smack their heads on the ceiling.

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Speaker 3: And then well apparently it was when they were being

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Speaker 3: served breakfast. So there's a high probability that at that time,

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Speaker 3: you know, when you're on the plane and they start

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Speaker 3: giving you stuff pretty early in the morning, it's like

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Speaker 3: maybe people are just waking up or they want to

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Speaker 3: get up and go to the bathroom. So if the

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Speaker 3: seatbelt sign wasn't on, like, it's totally probable that people

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Speaker 3: were standing up and going to the bathroom.

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Speaker 2: Yeah, totally.

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Speaker 3: So, Yeah, a seventy three year old British National head

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Speaker 3: was the one that died, and they believe it was

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Speaker 3: due to a heart attack. So yeah, I mean they

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Speaker 3: said he had a history part problems, but they didn't

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Speaker 3: really determine what his cause of death was. I think

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Speaker 3: they also were saying that this was one of the

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Speaker 3: first cases of a death caused in the case of severely.

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Speaker 2: So I was gonna say that.

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Speaker 3: So I don't necessarily consider myself a nervous flyer, but

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Speaker 3: you know, everybody's been on a flight where there's been

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Speaker 3: some you know, shady turbulence situation that doesn't make you

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Speaker 3: feel good.

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Speaker 2: So I've always had.

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Speaker 3: This internal peace that I've heard that nobody's ever died

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Speaker 3: from turbulence. It's always just a weird thing that happens.

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Speaker 3: And now, I mean, I guess maybe if this guy

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Speaker 3: had a heart attack, you could say he died from

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Speaker 3: the turbulence setting on the heart attack. Maybe, but nobody's

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Speaker 3: ever died from like something happening during turbulence besides having

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Speaker 3: a heart attack. So yeah, and they're saying, like you

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Speaker 3: should in that case, like if you ever I never

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Speaker 3: had an experience of that.

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Speaker 2: Hopefully I never do. But I don't want to look

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Speaker 2: around at people around me to be like, is this normal,

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Speaker 2: because I've only been on a plane like under ten

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Speaker 2: times in my life probably, So I want to be like, Okay,

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Speaker 2: looking at people, is this something that typically happens or

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Speaker 2: are we about to die? Like what's going on here?

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Speaker 2: But maybe you should just look at the flight attending

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Speaker 2: because they're the ones that are on planes all the time.

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Speaker 3: Well, yeah, and nothing's where. When we were just flying

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Speaker 3: into Denver a couple of weeks ago, there was basically

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Speaker 3: no turbulence the entire flight except when Ricky was in

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Speaker 3: the bathroom, and then when I was in the bathroom

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Speaker 3: like two hours late, and then when we were landing,

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Speaker 3: they were like, oh, the weather's a little rough down there,

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Speaker 3: so landing's gonna be a little shaky. It was like, so, yeah, yeah,

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Speaker 3: I'm still gonna hold my somewhat piece that nobody's really

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Speaker 3: died from turbulence besides a heart condition that might have

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Speaker 3: been set off from it.

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Speaker 2: So yeah, but just because people don't die, they've had

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Speaker 2: like major head trauma, concussions, brain bleeds. I mean, it's

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Speaker 2: not like I could be life affecting thing, yeah, altering thing. Yeah.

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Speaker 3: So In another plane related incident in Indonesia, there was

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Speaker 3: a passenger ladder against an airbus plane due to an

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Speaker 3: alleged miscommunication. The workers on the ground had moved the

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Speaker 3: ladder away from the plane even though the door to

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Speaker 3: the plane was opened, which is against aviation rules. So

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Speaker 3: inside of the plane, another worker was standing by the door,

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Speaker 3: didn't realize the ladder had been moved, just innocently took

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Speaker 3: a step backward and fell several feet until he hit

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Speaker 3: the ground. He's okay, but he has injuries related to it,

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Speaker 3: and there's an investigation happening as to exactly why the

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Speaker 3: ladder was moved, even though they're saying it was just

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Speaker 3: a simple miscommunication.

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Speaker 2: Oh my god, it looks so terrifying though it's I

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Speaker 2: think I looked at it like there's a guy standing

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Speaker 2: right underneath. So just estimating it's definitely high. It's around

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Speaker 2: twelve feet probably maybe even a little bit higher of

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Speaker 2: a fall, but that's like a huge fall, and I

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Speaker 2: just can't imagine how scared he was. Luckily, it happened

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Speaker 2: so quickly and he didn't fall and hit his head,

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Speaker 2: but I'm sure he probably has a broken leg or something. Yeah,

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Speaker 2: so the whole thing was caught on video, which is

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Speaker 2: kind of nuts. But yeah, you should check the link

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Speaker 2: out and click on the video because it is. It

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Speaker 2: is rather frightening, all right.

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Speaker 3: Next, an Amtrak train that was heading from NYC to

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Speaker 3: Niagara Falls struck a pickup truck, killing three people. The

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Speaker 3: three people were a sixty nine year old male, a

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Speaker 3: sixty six year old female, and a six year old male.

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Speaker 3: So on my assumption, I'm gonna say it's grandparents with

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Speaker 3: their grandchild.

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Speaker 2: Yeah, don't. I don't know. I did see that they

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Speaker 2: identified them, but they didn't really say, at least in

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Speaker 2: the articles. I saw what their relationship was. But it's

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Speaker 2: it seems as if they were trying to cross the

385
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Speaker 2: tracks and the horn was beeping. I don't know why

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Speaker 2: they tried to cross the tracks, but the arms of

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Speaker 2: the to protect the tracks went down and kind of

388
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Speaker 2: trapped the car there.

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Speaker 3: Well, it seems like the arms started going down and

390
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Speaker 3: then simultaneously the car like broke down, which is why

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Speaker 3: they couldn't get out fast enough, or it stuttered or

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Speaker 3: something where it couldn't get past the gate in time,

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Speaker 3: and then the train hit it on the tracks. But

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Speaker 3: this is actually the second accident that's happened in this

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Speaker 3: small town in New York where a train where a

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Speaker 3: train has hit a car this year.

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Speaker 2: I mean, it's it's like, if you don't go on

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Speaker 2: the tracks, this doesn't happen. So I wouldn't even consider

399
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Speaker 2: this to be Amtrak's no.

400
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Speaker 3: But like if you yeah, but like if you're just

401
00:19:33,800 --> 00:19:36,280
Speaker 3: you know, if you're just driving and your car just

402
00:19:36,320 --> 00:19:39,280
Speaker 3: happens to break down, like that's not that's not your

403
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Speaker 3: fall either.

404
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Speaker 2: Yeah, I know, I just I think I don't know what.

405
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Speaker 2: I don't know what happened. Like when we just drove

406
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Speaker 2: from we were in Las Vegas and drove to Joshua Tree.

407
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Speaker 2: From there, we were driving through like the old Route

408
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Speaker 2: sixty six, and there were all these kinds of railroad

409
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Speaker 2: tracks there with no sign of other lifelike gas stations

410
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Speaker 2: or houses or anything. And it would start flashing really

411
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Speaker 2: fast before this huge train was coming. Like luckily it

412
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Speaker 2: was so far there was nothing around so you could

413
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Speaker 2: see the train coming. But I did think, like, wow,

414
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Speaker 2: this came on pretty fast in relation to how fast

415
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Speaker 2: the train approached where we needed to cross the street.

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Speaker 3: Yeah, like I'm wondering if it I don't know, because

417
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Speaker 3: I'm only thinking more into it because they said there

418
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Speaker 3: was a second car this year that it also happened to.

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Speaker 3: I'm wondering if it's a case where you know you're

420
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Speaker 3: crossing over and then the bar drops before like the

421
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Speaker 3: sound comes down or something, which then makes you get stuck, right. Yeah,

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Speaker 3: I mean that's what it seems like happened. They said

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Speaker 3: that they were stuck in between the bar. Yeah, So

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Speaker 3: I'm just wondering if the car just so happened to

425
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Speaker 3: break down at the same time, or if there was

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Speaker 3: a signaling issue and maybe the bars lowered before the

427
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Speaker 3: sound went off so they didn't know not to cross

428
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Speaker 3: at that exact moment. It's just really terrible. They were

429
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Speaker 3: all pronounced dead at the scene, and Amtraks reported that

430
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Speaker 3: none of the passengers were affected or anything.

431
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Speaker 2: I would hate to have been just I do feel

432
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Speaker 2: like I was on a Paco train once when someone

433
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Speaker 2: jumped in front of it and it was like shut down,

434
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Speaker 2: and it was like this big thing, and just being like,

435
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Speaker 2: if you take the train every day, that's just kind

436
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Speaker 2: of bound to happen, I feel, you know, if you're

437
00:21:23,760 --> 00:21:26,240
Speaker 2: a frequent user of a train. Yeah.

438
00:21:26,280 --> 00:21:28,760
Speaker 3: I even when we were driving or when we were

439
00:21:28,800 --> 00:21:32,600
Speaker 3: on the Zephyr train, there was a lot of branches

440
00:21:32,760 --> 00:21:36,240
Speaker 3: along the train tracks and a couple cows had like

441
00:21:36,560 --> 00:21:39,280
Speaker 3: broken out of the fenced area near the track, and

442
00:21:39,320 --> 00:21:42,399
Speaker 3: we almost slammed into one, like on the side. It

443
00:21:42,480 --> 00:21:45,040
Speaker 3: was literally walking up towards the train and it almost

444
00:21:45,119 --> 00:21:47,399
Speaker 3: hit it. And I would have felt horrible if we

445
00:21:47,480 --> 00:21:50,520
Speaker 3: hit it farm animal, let alone plowed into an entire

446
00:21:50,560 --> 00:21:51,480
Speaker 3: car full of people.

447
00:21:51,560 --> 00:21:54,119
Speaker 2: It's just so scary, especially a little kid. That sucks.

448
00:21:54,200 --> 00:21:57,560
Speaker 3: Yeah, So our next one, a fifteen year old girl

449
00:21:57,560 --> 00:22:01,120
Speaker 3: and her friend were wakeboarding in bisc Bay and Florida

450
00:22:01,160 --> 00:22:04,399
Speaker 3: when another boat suddenly hit her and then left the scene.

451
00:22:04,840 --> 00:22:08,000
Speaker 3: So the boat she was wakeboarding from retrieved her body,

452
00:22:08,040 --> 00:22:10,159
Speaker 3: which was covered in blood. It was too late and

453
00:22:10,200 --> 00:22:14,119
Speaker 3: she had died. Witnesses gave police a detailed description of

454
00:22:14,160 --> 00:22:16,080
Speaker 3: the boat that had hit her, which led them to

455
00:22:16,160 --> 00:22:18,520
Speaker 3: this seventy eight year old man who claims he had

456
00:22:18,560 --> 00:22:21,240
Speaker 3: no idea his boat was involved in the accident until

457
00:22:21,240 --> 00:22:23,200
Speaker 3: police came to question him.

458
00:22:24,119 --> 00:22:26,639
Speaker 2: He I mean, I don't know. I almost kind of

459
00:22:26,880 --> 00:22:29,720
Speaker 2: believe this just because of and this is just the

460
00:22:29,800 --> 00:22:32,439
Speaker 2: story that his lawyer's given, so you have to always

461
00:22:32,480 --> 00:22:35,960
Speaker 2: take that. But he's seventy eight, he's been boating for

462
00:22:36,000 --> 00:22:41,720
Speaker 2: like fifty years. He doesn't drink alcohol, and when there's

463
00:22:41,840 --> 00:22:44,199
Speaker 2: video footage of him pulling up to the dock and

464
00:22:44,240 --> 00:22:47,879
Speaker 2: everything after the accident happened, he pulled his boat in

465
00:22:48,200 --> 00:22:50,919
Speaker 2: and it was in plain sight of everybody to see

466
00:22:50,960 --> 00:22:54,359
Speaker 2: and kind of like strolled around like nothing happened. He

467
00:22:54,440 --> 00:22:58,800
Speaker 2: wasn't trying to hide evidence or or looked panicked in

468
00:22:58,840 --> 00:23:02,520
Speaker 2: any way. I mean, but he's he's an older guy,

469
00:23:02,600 --> 00:23:04,639
Speaker 2: and maybe that's part of the problem, you know what

470
00:23:04,720 --> 00:23:07,720
Speaker 2: I mean, Like, we know some people that are seventy

471
00:23:07,760 --> 00:23:09,840
Speaker 2: eight that are really sharp and some that are like

472
00:23:09,960 --> 00:23:13,280
Speaker 2: really old. So maybe you know, that's why they don't

473
00:23:13,280 --> 00:23:15,760
Speaker 2: put in writing what age you have to take someone's

474
00:23:15,840 --> 00:23:19,439
Speaker 2: driver's license or boating license away because they may not

475
00:23:19,600 --> 00:23:23,360
Speaker 2: see well anymore, or just may not have their it

476
00:23:23,400 --> 00:23:25,280
Speaker 2: may not be as alert as they once were.

477
00:23:25,480 --> 00:23:27,520
Speaker 3: Yeah, Like I was just I'm trying to think of

478
00:23:27,600 --> 00:23:30,360
Speaker 3: all angles because I'm like, boats are really loud, right,

479
00:23:30,440 --> 00:23:34,119
Speaker 3: so if people were screaming immediately, would he even be

480
00:23:34,240 --> 00:23:36,760
Speaker 3: able to hear them? And then are their policy is

481
00:23:36,840 --> 00:23:40,760
Speaker 3: as far as driving close to other boats or was

482
00:23:40,840 --> 00:23:43,600
Speaker 3: the boat that they were wakeboarding from following policy. I'm

483
00:23:43,600 --> 00:23:46,000
Speaker 3: just really curious what they're going to find in this case.

484
00:23:47,080 --> 00:23:49,359
Speaker 2: Yeah, like I would think if there's boats where people

485
00:23:49,440 --> 00:23:51,480
Speaker 2: are getting off the boats and either swimming in the

486
00:23:51,480 --> 00:23:54,000
Speaker 2: water or wakeboarding or anything, that there should be a

487
00:23:54,119 --> 00:23:57,159
Speaker 2: rule that moving boats should be nowhere near those. They

488
00:23:57,200 --> 00:24:00,360
Speaker 2: agree with it, because this would happen off the right,

489
00:24:00,400 --> 00:24:02,680
Speaker 2: Like was there a speed limit and you wasn't going

490
00:24:02,720 --> 00:24:05,080
Speaker 2: to speed lit Like, I don't know. I'm not familiar

491
00:24:05,160 --> 00:24:08,040
Speaker 2: with I don't know anything about the boating world. I

492
00:24:08,080 --> 00:24:10,359
Speaker 2: am interested in it. We went on a boat in

493
00:24:10,400 --> 00:24:12,399
Speaker 2: Cape Cod a couple of times, and we went on

494
00:24:12,440 --> 00:24:14,280
Speaker 2: the fire boat and it was so awesome and I

495
00:24:14,359 --> 00:24:16,560
Speaker 2: was like, if I lived here, I could totally get

496
00:24:16,560 --> 00:24:18,919
Speaker 2: into this. It's kind of fun because it's cool, like

497
00:24:18,960 --> 00:24:21,560
Speaker 2: they have restaurants there that you could just leave your

498
00:24:21,600 --> 00:24:24,000
Speaker 2: dock at your house and go to the to the

499
00:24:24,040 --> 00:24:26,439
Speaker 2: restaurant and get food and go back and never have

500
00:24:26,600 --> 00:24:29,399
Speaker 2: to go on the street. It's just kind of that

501
00:24:29,520 --> 00:24:32,800
Speaker 2: super cool, like another way to move around. It's pretty cool.

502
00:24:40,680 --> 00:24:43,000
Speaker 2: This episode is brought to you by the Grocery Room.

503
00:24:43,280 --> 00:24:45,600
Speaker 2: Only once in a while, I put the grocer Room

504
00:24:45,680 --> 00:24:48,439
Speaker 2: on sale, and this time has come. It is a

505
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Speaker 2: Memorial Day sal and it is going to be only

506
00:24:50,560 --> 00:24:54,399
Speaker 2: twenty dollars for a year of gross and in the

507
00:24:54,440 --> 00:24:58,400
Speaker 2: grocer Room I started it back in twenty and nineteen.

508
00:24:58,920 --> 00:25:04,280
Speaker 2: There are thousand of posts, videos, photos, articles written by

509
00:25:04,320 --> 00:25:07,359
Speaker 2: some guests. There's just so much information on there. Lots

510
00:25:07,400 --> 00:25:11,040
Speaker 2: of audio too as well. And Marie and I actually

511
00:25:11,080 --> 00:25:13,760
Speaker 2: have been doing mother nos Death. We did about fifty

512
00:25:13,800 --> 00:25:16,679
Speaker 2: episodes before we even came on the air to you guys.

513
00:25:17,040 --> 00:25:19,119
Speaker 2: So if you're interested in listening to any of that,

514
00:25:19,240 --> 00:25:21,720
Speaker 2: it's just so much stuff. It'll keep you busy for

515
00:25:21,880 --> 00:25:24,480
Speaker 2: hours and hours and hours a day. And we put

516
00:25:24,480 --> 00:25:27,280
Speaker 2: out new stuff every day, so you can go to

517
00:25:27,359 --> 00:25:31,120
Speaker 2: the grossroom dot com and the sale starts. When does

518
00:25:31,160 --> 00:25:34,680
Speaker 2: a sal start on Sunday? On Sunday? Yes, and we

519
00:25:34,720 --> 00:25:40,760
Speaker 2: will see there. Let's get into violent crime.

520
00:25:40,920 --> 00:25:43,720
Speaker 3: So in Brazil, a woman has been sentenced to jail

521
00:25:43,760 --> 00:25:46,159
Speaker 3: for about four and a half years after cutting her

522
00:25:46,200 --> 00:25:49,399
Speaker 3: husband's penis off and fleshing it down the toilet. So

523
00:25:49,520 --> 00:25:53,000
Speaker 3: this one's a doozy, so buckle up. After learning her

524
00:25:53,080 --> 00:25:56,719
Speaker 3: husband had sex with her fifteen year old niece multiple times,

525
00:25:56,880 --> 00:25:59,520
Speaker 3: the woman then learned her husband to bed promising him.

526
00:25:59,600 --> 00:25:59,879
Speaker 2: Quote.

527
00:26:01,240 --> 00:26:03,959
Speaker 3: By the way, the age of consent in Brazil is

528
00:26:04,000 --> 00:26:07,360
Speaker 3: fourteen years old. So at first I was thinking this

529
00:26:07,400 --> 00:26:10,200
Speaker 3: story was like your sex predator, so I'm going to

530
00:26:10,280 --> 00:26:13,159
Speaker 3: cut your dick off, But this article is painting it

531
00:26:13,160 --> 00:26:15,520
Speaker 3: out to be it was just an incident of jealousy.

532
00:26:16,320 --> 00:26:18,480
Speaker 3: So she tied his arms and legs to the bed

533
00:26:18,480 --> 00:26:21,760
Speaker 3: with her underwear, turned the lights off, and then bust

534
00:26:21,800 --> 00:26:23,879
Speaker 3: it out a razor and cut his dick off. She

535
00:26:23,920 --> 00:26:26,480
Speaker 3: said she flushed it down the toilet so surgeons couldn't

536
00:26:26,520 --> 00:26:30,080
Speaker 3: reattach it. And shockingly, after the trial and she was sentenced,

537
00:26:30,119 --> 00:26:30,840
Speaker 3: they made up.

538
00:26:32,359 --> 00:26:34,840
Speaker 2: Yeah, this is just a pure story of like how

539
00:26:34,840 --> 00:26:37,920
Speaker 2: do people live? Right, this lady looks insane. You could

540
00:26:37,960 --> 00:26:40,639
Speaker 2: tell she's insane just by the way her eyebrows look. Okay,

541
00:26:40,680 --> 00:26:42,919
Speaker 2: if you look at the article, she just looks like

542
00:26:43,600 --> 00:26:45,840
Speaker 2: you don't want to mess with this stick, right? But

543
00:26:46,480 --> 00:26:49,360
Speaker 2: I mean when I we actually covered this story, Ray,

544
00:26:49,359 --> 00:26:51,520
Speaker 2: I don't know if you remember when it first happened,

545
00:26:51,520 --> 00:26:53,600
Speaker 2: when we were doing the podcast in the gross room,

546
00:26:54,080 --> 00:26:57,560
Speaker 2: and now she just got sentenced recently, and that's why

547
00:26:57,560 --> 00:27:00,560
Speaker 2: we're talking about this again. But of course my first

548
00:27:00,560 --> 00:27:02,720
Speaker 2: thought is like, okay, a grown man's having sex with

549
00:27:02,720 --> 00:27:05,520
Speaker 2: a fifteen year old. Good. I don't care, like, yeah,

550
00:27:05,680 --> 00:27:10,280
Speaker 2: I don't feel bad about this, But the legal age

551
00:27:10,280 --> 00:27:12,720
Speaker 2: of consent is fourteen years old in Brazil, so that

552
00:27:12,880 --> 00:27:17,639
Speaker 2: sounds like a brazil problem. And it's actually terrible for

553
00:27:18,119 --> 00:27:20,520
Speaker 2: women that live in Brazil because I'm sure they're getting

554
00:27:20,640 --> 00:27:23,600
Speaker 2: young women especially are getting taken advantage of all the

555
00:27:23,640 --> 00:27:27,680
Speaker 2: time by older dudes like this. But I love that

556
00:27:27,720 --> 00:27:30,240
Speaker 2: she flushed his penis down the toilet. I mean, that's

557
00:27:30,760 --> 00:27:32,919
Speaker 2: that's just pretty amazing. And she had it thought out

558
00:27:32,960 --> 00:27:36,520
Speaker 2: because she didn't want it to be able to be reattached.

559
00:27:36,560 --> 00:27:40,439
Speaker 2: I mean, she's she is, like, she's kind of a

560
00:27:40,480 --> 00:27:43,280
Speaker 2: crazy person. But even more of a crazy person is

561
00:27:43,760 --> 00:27:44,920
Speaker 2: the next story. Yeah.

562
00:27:44,960 --> 00:27:48,680
Speaker 3: So in the next case, police in Grand Junction, Colorado

563
00:27:48,760 --> 00:27:51,399
Speaker 3: got a call from a local hotel from a hysterical

564
00:27:51,440 --> 00:27:54,720
Speaker 3: woman saying she believed her boyfriend was dead, but could

565
00:27:54,760 --> 00:27:57,120
Speaker 3: not provide any more context.

566
00:27:56,720 --> 00:27:57,399
Speaker 2: On what happened.

567
00:27:57,760 --> 00:28:00,000
Speaker 3: So police get to the hotel and notice there's blood

568
00:28:00,119 --> 00:28:02,639
Speaker 3: all over the bed. They said his naked, a naked,

569
00:28:02,680 --> 00:28:05,399
Speaker 3: unresponsive mail was lying on his back with his feet

570
00:28:05,520 --> 00:28:09,119
Speaker 3: under the bed, so they started to perform CPR on

571
00:28:09,200 --> 00:28:12,040
Speaker 3: him and then noticed that his penis was missing and

572
00:28:12,240 --> 00:28:14,320
Speaker 3: it had apparently been cut off his body.

573
00:28:14,640 --> 00:28:15,960
Speaker 2: He also had a stab.

574
00:28:15,720 --> 00:28:18,760
Speaker 3: Wound in his leg, so he was pronounced dead at

575
00:28:18,760 --> 00:28:22,439
Speaker 3: the scene. Officers found then a Quote severed penis in

576
00:28:22,480 --> 00:28:26,000
Speaker 3: the trash can inside of the hotel bathroom. So the

577
00:28:26,080 --> 00:28:29,240
Speaker 3: woman told an officer that she and the boyfriend had

578
00:28:29,240 --> 00:28:31,959
Speaker 3: previously got into an argument because at first he wouldn't

579
00:28:32,040 --> 00:28:34,439
Speaker 3: let her go to sleep and she had threatened to

580
00:28:34,440 --> 00:28:36,600
Speaker 3: stab him. Then the next morning she thought he had

581
00:28:36,600 --> 00:28:39,760
Speaker 3: maybe gotten her pregnant again and they were arguing about

582
00:28:39,760 --> 00:28:42,640
Speaker 3: the paternity of the baby, to which she then stabbed

583
00:28:42,680 --> 00:28:44,960
Speaker 3: him in the leg and then cut his penis off.

584
00:28:45,520 --> 00:28:47,760
Speaker 2: So she said, throughout the day.

585
00:28:47,600 --> 00:28:50,480
Speaker 3: He started getting cold and was worried he was gonna die.

586
00:28:50,760 --> 00:28:53,600
Speaker 3: So you know, she went to the store. She bought

587
00:28:53,640 --> 00:28:56,959
Speaker 3: rubbing alcohol, antibiotics, and beer, but she said she forgot

588
00:28:56,960 --> 00:28:59,680
Speaker 3: to buy bandages, like I don't think that was fixing

589
00:28:59,760 --> 00:29:04,200
Speaker 3: this situation. And then after he started getting more cold

590
00:29:04,200 --> 00:29:07,120
Speaker 3: throughout the day, she gave him ibuprofen, water and Quote

591
00:29:07,160 --> 00:29:10,760
Speaker 3: greens and then he eventually died. So she was arrested

592
00:29:10,800 --> 00:29:12,479
Speaker 3: and charged with second degree murder.

593
00:29:14,480 --> 00:29:17,520
Speaker 2: This is actually so psychotic, like she stabbed the guy

594
00:29:17,560 --> 00:29:20,680
Speaker 2: and everything and then she kind of kept them, tried

595
00:29:20,720 --> 00:29:22,800
Speaker 2: to keep them alive a little bit, and while he

596
00:29:22,920 --> 00:29:26,800
Speaker 2: was suffering and bleeding to death. It's and that doesn't

597
00:29:26,840 --> 00:29:30,240
Speaker 2: happen either. Well, I lie, if he gets stabbed in

598
00:29:30,280 --> 00:29:33,320
Speaker 2: the leg in the femeral artery, that could happen pretty fast,

599
00:29:33,320 --> 00:29:35,200
Speaker 2: But I don't know where the stab one was. I

600
00:29:35,200 --> 00:29:37,400
Speaker 2: don't know if it went into a major artery. But

601
00:29:37,520 --> 00:29:40,920
Speaker 2: even amputating the penis, it wouldn't cause someone to bleed

602
00:29:40,960 --> 00:29:44,440
Speaker 2: to death really fast like it would if you cut

603
00:29:44,440 --> 00:29:47,000
Speaker 2: off somebody's leg or arm or something like that, or

604
00:29:47,480 --> 00:29:54,120
Speaker 2: slip slit their neck. But I just don't I don't see,

605
00:29:54,160 --> 00:29:57,080
Speaker 2: like I feel like she's seriously having some kind of

606
00:29:57,480 --> 00:30:01,280
Speaker 2: mental breakdown. Went to the store alcohol on that that

607
00:30:01,320 --> 00:30:05,840
Speaker 2: probably felt real great. I can't even imagine, and just

608
00:30:06,120 --> 00:30:09,280
Speaker 2: I mean, just think about you know, you're in CBS

609
00:30:09,280 --> 00:30:11,720
Speaker 2: and you're and you're buying tampons or something, and the

610
00:30:11,840 --> 00:30:14,760
Speaker 2: girl next to you, you just see, oh, she's got

611
00:30:14,760 --> 00:30:17,160
Speaker 2: a guy at the hotel room that she's buying alcohol

612
00:30:17,200 --> 00:30:18,920
Speaker 2: for to put on his penis that she just I

613
00:30:18,960 --> 00:30:20,040
Speaker 2: also imagine.

614
00:30:19,640 --> 00:30:22,560
Speaker 3: Her putting one little normal sized band aid like over

615
00:30:23,240 --> 00:30:25,840
Speaker 3: the area and then like walking in on that scene

616
00:30:25,880 --> 00:30:28,280
Speaker 3: of just this tiny band aid like covering where she

617
00:30:28,400 --> 00:30:30,080
Speaker 3: just cut his entire penis off.

618
00:30:30,160 --> 00:30:32,800
Speaker 2: It's well and think that's the first thing I thought

619
00:30:32,800 --> 00:30:34,560
Speaker 2: of when I heard of this story, Like these poor

620
00:30:34,680 --> 00:30:37,960
Speaker 2: cops and first responders just walk into this crazy shit,

621
00:30:38,240 --> 00:30:41,520
Speaker 2: like what like all the time, we hear it every

622
00:30:41,520 --> 00:30:45,240
Speaker 2: single week that they're just walking into these crazy situations.

623
00:30:45,320 --> 00:30:50,400
Speaker 2: And I just the story is even weirder because if

624
00:30:50,400 --> 00:30:53,120
Speaker 2: the guy got injured, like why didn't he try to

625
00:30:53,160 --> 00:30:55,440
Speaker 2: call nine one one when she left? Was he did

626
00:30:55,440 --> 00:30:57,640
Speaker 2: he lose that much blood that he just was too

627
00:30:57,640 --> 00:30:58,360
Speaker 2: weak to move?

628
00:30:58,480 --> 00:31:00,800
Speaker 3: Or I mean, you don't know, maybe he had some

629
00:31:00,920 --> 00:31:03,920
Speaker 3: mental things going on, or yeah, maybe he was too

630
00:31:03,960 --> 00:31:06,920
Speaker 3: weak and he couldn't move, or she made sure like

631
00:31:07,000 --> 00:31:08,080
Speaker 3: the phone was disconnected.

632
00:31:08,240 --> 00:31:10,200
Speaker 2: We just don't know what was going on. They were

633
00:31:10,240 --> 00:31:14,120
Speaker 2: in a hotel, right, so I mean there is a phone.

634
00:31:14,240 --> 00:31:16,920
Speaker 3: She might have disconnected it, like you just don't Also

635
00:31:17,080 --> 00:31:17,920
Speaker 3: lengths she went to.

636
00:31:19,000 --> 00:31:24,000
Speaker 2: That's like another thing too write, So you're what happens

637
00:31:24,000 --> 00:31:26,480
Speaker 2: in hotel rooms that you don't even know about? So

638
00:31:27,000 --> 00:31:30,200
Speaker 2: did these people leave? You know, she gets arrested, he

639
00:31:30,280 --> 00:31:33,200
Speaker 2: goes to the morgue. You have this big blood spot

640
00:31:33,280 --> 00:31:36,760
Speaker 2: on the floor because of a penis bleeding out, And

641
00:31:36,880 --> 00:31:38,680
Speaker 2: what do they do just rip up the carpet and

642
00:31:38,720 --> 00:31:40,960
Speaker 2: put in a new one, and then the next you know,

643
00:31:41,000 --> 00:31:43,080
Speaker 2: they're running it out like the next week or something.

644
00:31:43,200 --> 00:31:45,200
Speaker 3: So actually, when we were in Vegas, when we were

645
00:31:45,240 --> 00:31:47,760
Speaker 3: on the elevator, two of the cleaning people got on

646
00:31:47,880 --> 00:31:50,960
Speaker 3: with us and they were just like clearly exhausted, and

647
00:31:51,040 --> 00:31:53,760
Speaker 3: you know, Ricky just has to talk to everybody, so

648
00:31:53,800 --> 00:31:56,040
Speaker 3: he was like, oh, do you guys see some wild shit?

649
00:31:56,200 --> 00:31:58,080
Speaker 3: And they were like, you have no idea what we

650
00:31:58,120 --> 00:32:00,680
Speaker 3: see here. We could write novels about stuff.

651
00:32:00,720 --> 00:32:03,640
Speaker 2: Oh, I know, in Vegas especially, I can't even imagine.

652
00:32:03,680 --> 00:32:06,200
Speaker 2: They said, just I'd actually really like to know some

653
00:32:06,280 --> 00:32:08,320
Speaker 2: of the stories they said just that morning, because it

654
00:32:08,360 --> 00:32:10,520
Speaker 2: was Sinco de Mayo the day before that. They were

655
00:32:10,640 --> 00:32:13,440
Speaker 2: just like, we just found They're like, so many people

656
00:32:13,480 --> 00:32:16,719
Speaker 2: were so beyond blackout drunk the day before that. They

657
00:32:16,760 --> 00:32:19,800
Speaker 2: found like underwear and ice buckets and just like really

658
00:32:19,840 --> 00:32:22,840
Speaker 2: weird stuff in people's rooms. Oh my god.

659
00:32:23,040 --> 00:32:26,040
Speaker 3: But I would love to read a book written about

660
00:32:26,040 --> 00:32:28,560
Speaker 3: what they find. I think that would be so interesting.

661
00:32:28,840 --> 00:32:31,920
Speaker 2: Yeah, cause it's just you hear all these stories about

662
00:32:31,960 --> 00:32:35,640
Speaker 2: even I don't remember what it was, some like older

663
00:32:35,720 --> 00:32:38,120
Speaker 2: rockstar bon Jovi or like one of those kinds of people.

664
00:32:38,160 --> 00:32:40,080
Speaker 2: I don't know if it was specifically them, but just

665
00:32:40,120 --> 00:32:42,960
Speaker 2: like getting these hotel rooms back in the eighties with

666
00:32:43,040 --> 00:32:46,440
Speaker 2: these crazy parties and like having live animals there and

667
00:32:46,520 --> 00:32:51,440
Speaker 2: just like just just complete mayhem like and then you

668
00:32:51,520 --> 00:32:53,760
Speaker 2: have to think, like some poor persons coming in in

669
00:32:53,800 --> 00:32:55,640
Speaker 2: the morning and having to clean that up. I feel

670
00:32:55,680 --> 00:32:58,560
Speaker 2: terrible just because my hair falls out everywhere or something.

671
00:32:58,600 --> 00:33:01,480
Speaker 2: And they probably loved getting just like normal rooms to

672
00:33:01,480 --> 00:33:03,520
Speaker 2: clean up after all.

673
00:33:03,600 --> 00:33:06,360
Speaker 3: Right, So our next story. In nineteen ninety eight, a

674
00:33:06,440 --> 00:33:10,400
Speaker 3: teenager had gone missing in Algeria during the Algerian Civil War.

675
00:33:11,200 --> 00:33:14,120
Speaker 3: When he never returned, his family believed he was just

676
00:33:14,200 --> 00:33:17,280
Speaker 3: simply a casualty of war, although they never had confirmation

677
00:33:17,360 --> 00:33:19,880
Speaker 3: of this, and his mother believed for the rest of

678
00:33:19,920 --> 00:33:23,280
Speaker 3: her life that he was still alive, maybe even close

679
00:33:23,360 --> 00:33:27,120
Speaker 3: to them, and she died in twenty thirteen without any answers.

680
00:33:27,480 --> 00:33:30,640
Speaker 3: So now, at forty five years old, twenty six years later,

681
00:33:30,720 --> 00:33:33,240
Speaker 3: he has been rescued from a neighbor's house only six

682
00:33:33,360 --> 00:33:37,400
Speaker 3: hundred and fifty feet from his family's home. I know.

683
00:33:37,560 --> 00:33:40,480
Speaker 2: That's so. I mean, it's a good story, but is

684
00:33:40,520 --> 00:33:42,240
Speaker 2: he is he okay?

685
00:33:42,280 --> 00:33:45,560
Speaker 3: Like, mentally, I doubt he's okay if he's been kidnapped

686
00:33:45,560 --> 00:33:46,960
Speaker 3: for twenty six years and.

687
00:33:47,360 --> 00:33:49,520
Speaker 2: They said they found them under hay or something. Yeah,

688
00:33:49,560 --> 00:33:51,760
Speaker 2: so a sixty one year old man was arrested in

689
00:33:51,800 --> 00:33:55,120
Speaker 2: connection with the kidnapping. Somebody, This is what's kind of

690
00:33:55,200 --> 00:33:58,800
Speaker 2: unclear to me. Somebody who knew the suspect posted on

691
00:33:58,880 --> 00:34:02,080
Speaker 2: social media saying they believed this guy was involved in

692
00:34:02,120 --> 00:34:04,960
Speaker 2: the kidnapping, which then caused police and the family to

693
00:34:05,000 --> 00:34:07,840
Speaker 2: go to the property and look for him. So I'm

694
00:34:07,960 --> 00:34:11,200
Speaker 2: kind of unclear how the association was made or if

695
00:34:11,239 --> 00:34:13,839
Speaker 2: he was at the house and saw something where it

696
00:34:13,880 --> 00:34:17,000
Speaker 2: was like a year's long, this guy's a creeper, blah

697
00:34:17,000 --> 00:34:17,759
Speaker 2: blah blah. You know.

698
00:34:18,480 --> 00:34:21,240
Speaker 3: So anyway, they go to the house and they found

699
00:34:21,360 --> 00:34:24,080
Speaker 3: the guy in a haystack in the backyard, and when

700
00:34:24,120 --> 00:34:27,400
Speaker 3: they found him, the suspect tried to flee the scene,

701
00:34:27,440 --> 00:34:30,520
Speaker 3: although when they first arrived, he seemed really calm and collected.

702
00:34:32,280 --> 00:34:34,880
Speaker 2: Well, think about this, a grown man is kidnapping a

703
00:34:34,920 --> 00:34:37,359
Speaker 2: teenage boy. Like, nothing good is coming of that, right?

704
00:34:37,440 --> 00:34:37,520
Speaker 3: No?

705
00:34:37,640 --> 00:34:39,640
Speaker 2: And what I don't even want to think about what

706
00:34:39,680 --> 00:34:40,400
Speaker 2: that kid's life was.

707
00:34:40,440 --> 00:34:44,080
Speaker 3: No, and what's even the weirder to add to the

708
00:34:44,120 --> 00:34:47,560
Speaker 3: story is that the family of the victim their dog

709
00:34:47,880 --> 00:34:51,160
Speaker 3: was constantly sniffing around this guy's property and then one

710
00:34:51,239 --> 00:34:53,160
Speaker 3: day showed up dead from a poisoning.

711
00:34:54,160 --> 00:34:58,040
Speaker 2: Yeah. I and it's weird that the family didn't kind

712
00:34:58,040 --> 00:35:00,839
Speaker 2: of pick up on I mean, maybe they did. They

713
00:35:00,880 --> 00:35:03,400
Speaker 2: could have possibly even searched around there and just been like,

714
00:35:03,480 --> 00:35:06,520
Speaker 2: why is this dog always on this person's property. It's

715
00:35:06,520 --> 00:35:08,000
Speaker 2: a little wit I think just when you're in.

716
00:35:08,000 --> 00:35:10,840
Speaker 3: A level of grief like that of losing somebody, just

717
00:35:11,000 --> 00:35:14,640
Speaker 3: really obvious signs just go by you. And there also

718
00:35:14,760 --> 00:35:17,160
Speaker 3: just has to be this complete disbelief that it could

719
00:35:17,320 --> 00:35:20,000
Speaker 3: quite literally be happening in your backyard.

720
00:35:21,800 --> 00:35:24,080
Speaker 2: It's such a shame, and it's more a shame that

721
00:35:24,120 --> 00:35:27,640
Speaker 2: the mom died before getting any peace with this. Yeah,

722
00:35:27,640 --> 00:35:29,239
Speaker 2: but I mean, at the end of the day, at

723
00:35:29,320 --> 00:35:32,600
Speaker 2: least he's been rescued and hopefully he could go through

724
00:35:32,680 --> 00:35:35,560
Speaker 2: some treatment to try to have somewhat normal quality of

725
00:35:35,600 --> 00:35:37,719
Speaker 2: life after this. Yeah.

726
00:35:37,960 --> 00:35:41,080
Speaker 3: All right, So our last violent crime. Last week, an

727
00:35:41,120 --> 00:35:45,240
Speaker 3: investigation uncovered that an HIV positive sex worker made contact

728
00:35:45,320 --> 00:35:48,680
Speaker 3: with over two hundred clients after a positive diagnosis in

729
00:35:48,719 --> 00:35:49,640
Speaker 3: twenty twenty two.

730
00:35:51,800 --> 00:35:56,200
Speaker 2: I have a lot of questions about this because they're

731
00:35:56,280 --> 00:35:58,839
Speaker 2: trying to say that this person figured out that they

732
00:35:58,840 --> 00:36:02,200
Speaker 2: were HIV positive and they were still continuing to be

733
00:36:02,239 --> 00:36:05,400
Speaker 2: a sex worker. And I don't know what the rules

734
00:36:05,440 --> 00:36:12,120
Speaker 2: are because now a days, there's anti retroviral medications that

735
00:36:12,680 --> 00:36:16,480
Speaker 2: they can lighten your load of HIV so much that

736
00:36:16,520 --> 00:36:20,440
Speaker 2: it's not even detectable. And let's say a husband and

737
00:36:20,680 --> 00:36:23,239
Speaker 2: wife are together and the husband as HIV and the

738
00:36:23,280 --> 00:36:27,239
Speaker 2: wife doesn't. If they're on the proper medication and their

739
00:36:27,320 --> 00:36:30,480
Speaker 2: viral load is so low that you can't detect it anymore,

740
00:36:30,840 --> 00:36:33,719
Speaker 2: they're considered to be safe to have sex with each

741
00:36:33,760 --> 00:36:36,960
Speaker 2: other at that point. So I'm wondering if she was

742
00:36:37,000 --> 00:36:40,120
Speaker 2: diagnosed two years ago, I'm assuming that she hasn't gotten

743
00:36:40,160 --> 00:36:43,560
Speaker 2: any treatment for it, and that's why they're still considering

744
00:36:43,600 --> 00:36:46,239
Speaker 2: this to be That's why we put it in the

745
00:36:46,320 --> 00:36:51,359
Speaker 2: violent crime section, because this is you're giving someone a

746
00:36:51,400 --> 00:36:54,320
Speaker 2: disease that could be deadly without letting them know about it,

747
00:36:54,440 --> 00:36:56,080
Speaker 2: especially when you do know about it.

748
00:36:56,400 --> 00:36:59,560
Speaker 3: Yeah, So they determined through phone records that she was

749
00:36:59,600 --> 00:37:02,800
Speaker 3: in kind with at least two hundred and eleven people

750
00:37:03,520 --> 00:37:07,160
Speaker 3: in business transactions with them. So now they're working to

751
00:37:07,239 --> 00:37:10,120
Speaker 3: contact all two hundred and eleven individuals that may have

752
00:37:10,200 --> 00:37:12,680
Speaker 3: been affected by this, and they're encouraging them to all

753
00:37:12,680 --> 00:37:15,640
Speaker 3: be brutally honest. So they could, you know, follow the

754
00:37:15,680 --> 00:37:17,640
Speaker 3: line of exactly how far this is gonna go.

755
00:37:18,840 --> 00:37:21,239
Speaker 2: I just don't. I don't really know why this is

756
00:37:21,360 --> 00:37:23,480
Speaker 2: much of a story. Like, if you're having sex with

757
00:37:23,520 --> 00:37:26,640
Speaker 2: the sex worker, are you assuming that they that they're

758
00:37:26,680 --> 00:37:29,520
Speaker 2: like really clean and safe? I mean there has to

759
00:37:29,560 --> 00:37:33,239
Speaker 2: be some level of You're you're having sex with a

760
00:37:33,239 --> 00:37:35,360
Speaker 2: person that you knows have sex with so many people

761
00:37:35,400 --> 00:37:37,879
Speaker 2: that there's a certain level of risk associated with it, right,

762
00:37:38,640 --> 00:37:41,879
Speaker 2: Yeah don't. I don't really, I don't. I mean, it's

763
00:37:41,920 --> 00:37:44,000
Speaker 2: messed up if she knows about it and she's doing it,

764
00:37:44,040 --> 00:37:46,560
Speaker 2: But like you shouldn't. You really shouldn't be having sex

765
00:37:46,600 --> 00:37:48,080
Speaker 2: with a sex worker without protection.

766
00:37:48,600 --> 00:37:51,400
Speaker 3: Yeah, I agree with that. I just yeah, I don't really,

767
00:37:51,800 --> 00:37:54,560
Speaker 3: I don't know. I guess there's a lot more to this.

768
00:37:54,719 --> 00:37:58,640
Speaker 3: Maybe we don't even understand yet, but yeah, maybe I don't.

769
00:37:58,680 --> 00:38:01,879
Speaker 2: I don't know. I'm just kind of like, isn't isn't

770
00:38:01,880 --> 00:38:04,319
Speaker 2: not like because they also said is not why it's frown.

771
00:38:04,480 --> 00:38:08,040
Speaker 3: They also said this sex trafficker, this sex worker came.

772
00:38:08,640 --> 00:38:11,480
Speaker 3: They found this sex worker because she was part of

773
00:38:11,520 --> 00:38:15,200
Speaker 3: a sex trafficking organization. So I'm sure there's a lot

774
00:38:15,280 --> 00:38:17,839
Speaker 3: more to have to do with this, which is what

775
00:38:19,000 --> 00:38:20,280
Speaker 3: makes the criminal charges.

776
00:38:20,360 --> 00:38:23,759
Speaker 2: So all right, medical news, all right.

777
00:38:23,800 --> 00:38:26,760
Speaker 3: An NYC law student is claiming her addiction to eating

778
00:38:26,840 --> 00:38:29,040
Speaker 3: cheese got so bad that she had to go to

779
00:38:29,160 --> 00:38:33,480
Speaker 3: a six thousand dollars per week rehab. So in twenty eighteen,

780
00:38:33,560 --> 00:38:36,440
Speaker 3: this girl says she started craving cheese and binged on

781
00:38:36,480 --> 00:38:39,880
Speaker 3: the quote cheapest bricks of white cheddar and parmesan almost daily.

782
00:38:40,239 --> 00:38:43,279
Speaker 3: Although I'm gonna like, let's take it in perspective for

783
00:38:43,320 --> 00:38:45,560
Speaker 3: a second. She said she used to buy her cheese

784
00:38:45,560 --> 00:38:49,480
Speaker 3: out Whole Foods, which if you're looking's if you're looking

785
00:38:49,560 --> 00:38:52,800
Speaker 3: for the cheapest cheese, you're not going to Whole Foods.

786
00:38:53,120 --> 00:38:57,160
Speaker 3: So she started off her addiction with white cheddar and

787
00:38:57,239 --> 00:39:00,400
Speaker 3: parmesan almost daily. She said she would just straight up

788
00:39:00,440 --> 00:39:02,560
Speaker 3: eat the block of cheese with her hands and let

789
00:39:02,680 --> 00:39:05,360
Speaker 3: and eventually was eating five and a half blocks of

790
00:39:05,440 --> 00:39:10,360
Speaker 3: cheese per week, which is so much, so she rapidly

791
00:39:10,440 --> 00:39:13,320
Speaker 3: gained weight until she hit one hundred and seventy two pounds.

792
00:39:13,719 --> 00:39:15,759
Speaker 3: I guess her normal weight is around one hundred and

793
00:39:15,760 --> 00:39:18,560
Speaker 3: twenty three pounds, which she's now at now. But she

794
00:39:18,640 --> 00:39:21,239
Speaker 3: had stopped menstruating for five months during her binge and

795
00:39:21,280 --> 00:39:24,080
Speaker 3: became at risk for type two diabetes. It got so

796
00:39:24,160 --> 00:39:26,239
Speaker 3: bad that her mother sent her to a reheb in

797
00:39:26,320 --> 00:39:29,200
Speaker 3: Hilton Head, costing nearly six thousand dollars per week to

798
00:39:29,239 --> 00:39:30,440
Speaker 3: treat the eating disorder.

799
00:39:32,120 --> 00:39:36,319
Speaker 2: This story just reeks of what you would say privilege, right, like, oh,

800
00:39:36,360 --> 00:39:38,920
Speaker 2: you went to you went to Hilton Head for a

801
00:39:38,960 --> 00:39:42,120
Speaker 2: couple of weeks. That's six thousand dollars for retreat because

802
00:39:42,160 --> 00:39:46,279
Speaker 2: of your gourmet cheese addiction. Like it's serious. And the

803
00:39:46,880 --> 00:39:49,080
Speaker 2: reason that I'm even more annoyed is because when you

804
00:39:49,120 --> 00:39:51,719
Speaker 2: look at the article, there's like these weird pictures of

805
00:39:51,760 --> 00:39:55,600
Speaker 2: her all over it, like lambed up, like like posing

806
00:39:55,680 --> 00:39:58,680
Speaker 2: with cheese and then like with her dear bag and

807
00:39:58,719 --> 00:40:01,400
Speaker 2: the cheese and stuff, and you're like, you kind of suck, lady,

808
00:40:01,880 --> 00:40:06,640
Speaker 2: and she really does. But there's this doctor who authored

809
00:40:06,640 --> 00:40:10,200
Speaker 2: a book called The Cheese Trap, who he wrote that

810
00:40:10,520 --> 00:40:14,680
Speaker 2: cheese contains opiate opiates that attached to the same brain

811
00:40:14,719 --> 00:40:18,480
Speaker 2: receptors as fetanoyl or other narcotics, and you actually could

812
00:40:18,520 --> 00:40:22,320
Speaker 2: get addicted to the caseyin in cheese, and it's called

813
00:40:22,440 --> 00:40:25,640
Speaker 2: a dairy like a dairy addiction, but they will call

814
00:40:25,680 --> 00:40:27,719
Speaker 2: it like a what do they call it crack? They

815
00:40:27,760 --> 00:40:33,799
Speaker 2: call dairy crack, dairy crack. Yeah, so yeah, I don't

816
00:40:33,840 --> 00:40:36,040
Speaker 2: I don't know. I just think this, but don't worry.

817
00:40:36,080 --> 00:40:38,640
Speaker 2: She took ozempic and lost the fifty pounds and now

818
00:40:38,719 --> 00:40:40,640
Speaker 2: she only has it when she's stressed out.

819
00:40:41,120 --> 00:40:44,600
Speaker 3: Yeah, this story just freaks a bullshit to be so like,

820
00:40:44,800 --> 00:40:45,359
Speaker 3: I don't know.

821
00:40:46,440 --> 00:40:49,000
Speaker 2: Yeah, well you got an article on the New York Post,

822
00:40:49,040 --> 00:40:49,720
Speaker 2: So this.

823
00:40:49,600 --> 00:40:51,600
Speaker 3: Is what you you really want to be around for

824
00:40:51,719 --> 00:40:55,240
Speaker 3: the girl that went to rehab because of geees. Like people,

825
00:40:56,480 --> 00:41:02,200
Speaker 3: it's it's giving desperate onto the next. I don't think

826
00:41:02,239 --> 00:41:05,239
Speaker 3: we covered this on Mother Nose Death because of when

827
00:41:05,280 --> 00:41:07,279
Speaker 3: it came out in September of last year. I know

828
00:41:07,320 --> 00:41:10,040
Speaker 3: we did on the grocer Room podcast, but a tenth

829
00:41:10,080 --> 00:41:13,000
Speaker 3: grader had died in September of last year after eating

830
00:41:13,040 --> 00:41:15,600
Speaker 3: the Pockey chip as part of the One Chip Challenge.

831
00:41:16,160 --> 00:41:18,959
Speaker 3: So the challenge god for participants to eat this chip

832
00:41:19,000 --> 00:41:21,040
Speaker 3: and then see how long they could go without consuming

833
00:41:21,120 --> 00:41:25,640
Speaker 3: other food and water. It was really to see how

834
00:41:25,680 --> 00:41:28,839
Speaker 3: well you could tolerate the spice level. So now the

835
00:41:28,880 --> 00:41:31,239
Speaker 3: autopsy results are in saying he died from eating a

836
00:41:31,320 --> 00:41:34,200
Speaker 3: large quantity of chili pepper extract and also had a

837
00:41:34,200 --> 00:41:36,839
Speaker 3: congenital heart defect. So what are your thoughts on this?

838
00:41:38,239 --> 00:41:45,480
Speaker 2: So sometimes a tenth grader is like cow old, it's fifteen, fifteen, sixteen. Yeah,

839
00:41:45,719 --> 00:41:49,359
Speaker 2: so there's sometimes that kids that are teenagers might have

840
00:41:49,480 --> 00:41:52,720
Speaker 2: a heart defect that wasn't bad and off their entire life.

841
00:41:52,719 --> 00:41:55,280
Speaker 2: That clearly like they made it to tenth grade without

842
00:41:55,320 --> 00:41:58,640
Speaker 2: anybody knowing, So it's not it's not like they can't

843
00:41:58,719 --> 00:42:04,920
Speaker 2: live with it, but something can trigger it that could

844
00:42:04,960 --> 00:42:08,400
Speaker 2: make it cause death, like in this case, this capstation

845
00:42:09,239 --> 00:42:13,680
Speaker 2: that's used with these chips, these extra strong chili powder,

846
00:42:14,239 --> 00:42:17,520
Speaker 2: that's causing these people to get really sick. This isn't

847
00:42:17,560 --> 00:42:21,120
Speaker 2: actually the only person that's gotten sick of doing this challenge,

848
00:42:21,200 --> 00:42:24,360
Speaker 2: which is why they eventually pulled it off of the

849
00:42:24,440 --> 00:42:28,120
Speaker 2: market at this point. But he was born so when

850
00:42:28,120 --> 00:42:30,680
Speaker 2: they did the autopsy, they found that his heart was big,

851
00:42:30,760 --> 00:42:33,279
Speaker 2: or he had cardio megle, and he also had a

852
00:42:33,320 --> 00:42:36,719
Speaker 2: condition that was called myocardio bridging of the left anterior

853
00:42:36,800 --> 00:42:41,279
Speaker 2: descending artery, which normally the coronary arteries are above the

854
00:42:41,320 --> 00:42:44,000
Speaker 2: heart muscle and in this case it's within the heart muscle.

855
00:42:44,520 --> 00:42:47,920
Speaker 2: And obviously the kid's been living with this and this

856
00:42:47,960 --> 00:42:51,080
Speaker 2: has been fine, and maybe if he didn't have any

857
00:42:51,160 --> 00:42:54,399
Speaker 2: kind of super traumatic body events the rest of his life,

858
00:42:54,400 --> 00:42:57,040
Speaker 2: he could have lived with this and lived to be

859
00:42:57,080 --> 00:43:00,359
Speaker 2: an older person. But or even had an issue where

860
00:43:00,400 --> 00:43:02,520
Speaker 2: he went to the hospital and they detected it and

861
00:43:02,760 --> 00:43:06,160
Speaker 2: were able to repair it. But in this case, it

862
00:43:06,200 --> 00:43:09,719
Speaker 2: was it seems so innocent because it's a chip, but

863
00:43:09,800 --> 00:43:12,040
Speaker 2: it's it's trauma to your body. I mean, do you

864
00:43:12,800 --> 00:43:17,640
Speaker 2: I had we went to that restaurant for Gabe's graduation

865
00:43:17,760 --> 00:43:20,040
Speaker 2: and I had you know how they gave us two things,

866
00:43:20,040 --> 00:43:22,080
Speaker 2: a horse radish and one was like a creamy one

867
00:43:22,080 --> 00:43:24,799
Speaker 2: and one was like the high octane one. Well, I

868
00:43:24,880 --> 00:43:27,680
Speaker 2: had the high octane one by accident. It's essentially like

869
00:43:27,840 --> 00:43:31,920
Speaker 2: was sabi. I took such a big spoonful of it though,

870
00:43:31,960 --> 00:43:33,879
Speaker 2: because I thought it was like the water down one,

871
00:43:34,400 --> 00:43:37,239
Speaker 2: and it gave my body, like the weirdest reaction, like

872
00:43:37,280 --> 00:43:40,400
Speaker 2: my nose was burning so bad, and I was like,

873
00:43:40,440 --> 00:43:42,719
Speaker 2: oh my god, if that feeling never went away, I

874
00:43:42,719 --> 00:43:45,200
Speaker 2: would I would want to die. It's like terrible, like

875
00:43:45,280 --> 00:43:48,319
Speaker 2: I felt like I was drowning underwater or something. And

876
00:43:49,440 --> 00:43:52,200
Speaker 2: this spice could have the same that kind of effect

877
00:43:52,239 --> 00:43:54,080
Speaker 2: on a person and on their heart, and it was

878
00:43:54,160 --> 00:43:56,400
Speaker 2: just too much for the heart to take. And in

879
00:43:56,760 --> 00:44:00,920
Speaker 2: the literature they said that this capstation can cause toxicity

880
00:44:01,000 --> 00:44:03,600
Speaker 2: and caused the schema eschemia to the heart muscle, which

881
00:44:03,640 --> 00:44:05,359
Speaker 2: is death to the heart muscle or like a heart

882
00:44:05,360 --> 00:44:11,000
Speaker 2: attack essentially. So maybe if another kid had something like

883
00:44:11,000 --> 00:44:13,239
Speaker 2: this that didn't have an underlying heart defect, But like

884
00:44:13,640 --> 00:44:16,600
Speaker 2: you're marketing these towards kids, they're all stock.

885
00:44:16,880 --> 00:44:19,800
Speaker 3: So they came out and said they the labeling says

886
00:44:19,880 --> 00:44:22,440
Speaker 3: it's not for children and not for people with underlying

887
00:44:22,560 --> 00:44:25,160
Speaker 3: health conditions, which how was this boy supposed to know

888
00:44:25,239 --> 00:44:26,400
Speaker 3: he had an underlying health condition?

889
00:44:26,480 --> 00:44:28,960
Speaker 2: But it's on TikTok. So they go to the store.

890
00:44:29,200 --> 00:44:31,920
Speaker 3: Exactly, It's kind of what we're talking about with vaping,

891
00:44:32,080 --> 00:44:35,680
Speaker 3: Like their labels say it's not for kids, but their

892
00:44:35,760 --> 00:44:39,560
Speaker 3: marketing really isn't saying the same thing, especially when you're

893
00:44:39,600 --> 00:44:42,759
Speaker 3: turning to TikTok, which is primarily used by children and

894
00:44:42,880 --> 00:44:44,040
Speaker 3: gen z and younger.

895
00:44:44,080 --> 00:44:46,279
Speaker 2: It should it should be locked up behind like with

896
00:44:46,320 --> 00:44:49,920
Speaker 2: the cigarettes. Then, I mean, really, how do you if

897
00:44:49,920 --> 00:44:53,600
Speaker 2: it's just in the aisle with with like lazed potato chips,

898
00:44:54,160 --> 00:44:57,440
Speaker 2: because it was I saw it before this happened, because

899
00:44:57,440 --> 00:44:59,560
Speaker 2: my kids actually pointed out to me and said, oh,

900
00:44:59,560 --> 00:45:01,880
Speaker 2: that's the on chip challenge they showed me when we

901
00:45:01,880 --> 00:45:06,480
Speaker 2: were traveling last year. They could have bought it, yeah right,

902
00:45:06,520 --> 00:45:08,440
Speaker 2: I mean, like, I mean, it was just there on

903
00:45:08,440 --> 00:45:11,040
Speaker 2: the counter with everything, especially if you're like a little

904
00:45:11,440 --> 00:45:13,080
Speaker 2: not a little little kid, but if you're like a

905
00:45:13,160 --> 00:45:16,960
Speaker 2: kid or a teenager and you're out by yourself without

906
00:45:17,000 --> 00:45:19,080
Speaker 2: your parents there, and you're at like the store and

907
00:45:19,160 --> 00:45:20,759
Speaker 2: you might just be like, oh, I'll just grab it.

908
00:45:21,520 --> 00:45:24,880
Speaker 2: It happens very innocently. They don't understand the severe effects

909
00:45:24,880 --> 00:45:28,799
Speaker 2: this could have. So I understand, like the company did

910
00:45:28,840 --> 00:45:30,440
Speaker 2: what they're supposed to do, which is putting out on

911
00:45:30,440 --> 00:45:32,919
Speaker 2: the label. But do you think a fifteen year old's

912
00:45:32,920 --> 00:45:35,680
Speaker 2: gonna give a shit what's on a label when all

913
00:45:35,719 --> 00:45:38,040
Speaker 2: they see is not even a TikTok challenge and all

914
00:45:38,080 --> 00:45:39,600
Speaker 2: their friends are talking about it. They just want to

915
00:45:39,600 --> 00:45:43,080
Speaker 2: be cool and do the challenge exactly all right. Next,

916
00:45:43,080 --> 00:45:45,760
Speaker 2: a husband and wife were having sex when the husband

917
00:45:45,760 --> 00:45:49,400
Speaker 2: noticed discoloration on the wife's flulva. She immediately made an

918
00:45:49,440 --> 00:45:52,320
Speaker 2: appointment with her doctor, who suggested she go to the hospital,

919
00:45:52,360 --> 00:45:55,120
Speaker 2: fearing she might have cancer, and after four biopsies, she

920
00:45:55,280 --> 00:45:58,759
Speaker 2: was told the lesions were pre cancerous and slow progressing.

921
00:46:00,560 --> 00:46:03,319
Speaker 2: So the best part of this story is that it's

922
00:46:03,320 --> 00:46:05,480
Speaker 2: so cute because they're like an older couple and she's like,

923
00:46:05,560 --> 00:46:09,200
Speaker 2: I haven't looked down there in a long time. I

924
00:46:09,239 --> 00:46:11,879
Speaker 2: love it. So yeah, he was just like, ah, something,

925
00:46:11,920 --> 00:46:14,000
Speaker 2: they'll look right down there and they buy upsted in.

926
00:46:14,120 --> 00:46:18,720
Speaker 2: She had what's called VIN or evolva into epithelial lesion,

927
00:46:18,800 --> 00:46:21,520
Speaker 2: which is it's the same thing that you can get

928
00:46:21,560 --> 00:46:24,200
Speaker 2: in the vagina on the cervix, and it's due to

929
00:46:24,640 --> 00:46:29,200
Speaker 2: HPV changes and when you have viral changes in the cells,

930
00:46:29,320 --> 00:46:32,400
Speaker 2: it could start making them look a little bit funny

931
00:46:32,480 --> 00:46:36,640
Speaker 2: and it could be pre cancerous changes that eventually, if

932
00:46:36,680 --> 00:46:39,239
Speaker 2: you don't get it treated, can turn to cancer. So

933
00:46:39,840 --> 00:46:42,319
Speaker 2: most of the cases of VIN are caused by an

934
00:46:42,480 --> 00:46:47,080
Speaker 2: HPV infection with a higher risk of HPV and hopefully

935
00:46:47,200 --> 00:46:50,000
Speaker 2: she's able to just get it treated. And usually if

936
00:46:50,000 --> 00:46:53,160
Speaker 2: you go and get treatment, then you're good, and they'll

937
00:46:53,160 --> 00:46:55,720
Speaker 2: do testing too to see if it's a high restrain

938
00:46:55,800 --> 00:46:59,279
Speaker 2: of HPV or a low restrain of HPV. And but

939
00:46:59,400 --> 00:47:01,520
Speaker 2: it's kind of cool because if she wasn't going to

940
00:47:01,560 --> 00:47:04,879
Speaker 2: look down there for another couple years, right, it could

941
00:47:04,880 --> 00:47:07,720
Speaker 2: have eventually turned to something a little bit more severe,

942
00:47:07,800 --> 00:47:12,600
Speaker 2: either like a higher inner epithelial lesion or even cancer.

943
00:47:12,760 --> 00:47:16,480
Speaker 2: So this is say see something, say something, husband, Yeah, I.

944
00:47:16,840 --> 00:47:18,840
Speaker 3: Do want to say I don't think we stress the

945
00:47:18,880 --> 00:47:22,320
Speaker 3: importance enough of our sexual partners. If you notice something's

946
00:47:22,360 --> 00:47:25,440
Speaker 3: not normal in these areas, like I don't have the

947
00:47:25,520 --> 00:47:28,080
Speaker 3: flexibility to bend down and really look up in there,

948
00:47:28,080 --> 00:47:29,000
Speaker 3: and a mirror.

949
00:47:28,640 --> 00:47:30,120
Speaker 2: Can only show you so much.

950
00:47:30,200 --> 00:47:33,520
Speaker 3: So if you see a mole or anything that looks weird,

951
00:47:33,600 --> 00:47:36,319
Speaker 3: it's definitely better to say something and have it checked

952
00:47:36,360 --> 00:47:39,239
Speaker 3: out than just be like, ah, maybe that's whatever you

953
00:47:39,280 --> 00:47:42,120
Speaker 3: know for sure? All right, our next one. A new

954
00:47:42,160 --> 00:47:44,799
Speaker 3: study has come out suggesting it may be beneficial if

955
00:47:44,840 --> 00:47:48,000
Speaker 3: people wait longer to pull the plug on life support.

956
00:47:49,040 --> 00:47:51,480
Speaker 2: This is kind of my favorite story of the week

957
00:47:51,560 --> 00:47:55,120
Speaker 2: because it's it's something that a lot of people have

958
00:47:55,160 --> 00:47:57,399
Speaker 2: to deal with, is you have a loved one and

959
00:47:58,000 --> 00:48:01,040
Speaker 2: they either they get injured or they're all or whatever happens,

960
00:48:01,080 --> 00:48:02,799
Speaker 2: and they end up going into a coma and then

961
00:48:02,840 --> 00:48:05,960
Speaker 2: they go on life support and they come to you

962
00:48:06,080 --> 00:48:09,240
Speaker 2: and say, Okay, your family member is on life support

963
00:48:09,320 --> 00:48:11,880
Speaker 2: right now, they cannot live on their own. When would

964
00:48:11,880 --> 00:48:14,160
Speaker 2: you like to kind of pull the plug and end

965
00:48:14,200 --> 00:48:18,080
Speaker 2: their life? And this study, so this study was done

966
00:48:18,160 --> 00:48:22,920
Speaker 2: by the Journal of Neurotrauma, and it included three hundred

967
00:48:22,920 --> 00:48:26,120
Speaker 2: and ninety two traumatic brain injuries, and of these they

968
00:48:26,160 --> 00:48:30,960
Speaker 2: compared eighty patients that had severe injuries who died after

969
00:48:31,040 --> 00:48:34,720
Speaker 2: life support was withdrawn, so that's when the family decided

970
00:48:34,719 --> 00:48:38,359
Speaker 2: to pull the plug, and then eighty similar patients whose

971
00:48:38,400 --> 00:48:42,480
Speaker 2: life support was not withdrawn, which would be me somebody

972
00:48:42,520 --> 00:48:46,080
Speaker 2: that's like, I'm not I'm not pulling the plug ever, right,

973
00:48:46,840 --> 00:48:50,120
Speaker 2: So they did want to emphasize that most of the

974
00:48:50,200 --> 00:48:54,400
Speaker 2: patients whose life support was continued still ended up dying

975
00:48:54,600 --> 00:48:58,320
Speaker 2: anyway in the hospital within about six days, but forty

976
00:48:58,440 --> 00:49:01,440
Speaker 2: two percent of them, which is a lot in my opinion,

977
00:49:02,360 --> 00:49:06,719
Speaker 2: who continued life support eventually recovered and they either had

978
00:49:06,760 --> 00:49:09,520
Speaker 2: some degree of independence after their injury, and some of

979
00:49:09,520 --> 00:49:12,400
Speaker 2: them even went on to have a completely like resume

980
00:49:12,440 --> 00:49:16,800
Speaker 2: their normal huge number. I know it is, and it's

981
00:49:16,920 --> 00:49:20,320
Speaker 2: it's like, oh my god, now, I mean I don't

982
00:49:20,680 --> 00:49:23,200
Speaker 2: I kind of regret ever seeing this because now if

983
00:49:23,200 --> 00:49:25,279
Speaker 2: I'm ever forced to be in this situation, I'm going

984
00:49:25,360 --> 00:49:27,680
Speaker 2: to be like, yeah, but incently, I'm not going to

985
00:49:27,719 --> 00:49:30,520
Speaker 2: ender to wait even if it ends up not being

986
00:49:31,040 --> 00:49:34,200
Speaker 2: like you'd rather wait and see if it works out

987
00:49:34,320 --> 00:49:37,839
Speaker 2: then just be like, well, I guess this is it. Yeah.

988
00:49:37,920 --> 00:49:39,759
Speaker 2: I just it's just sad because you're like, well, how

989
00:49:39,800 --> 00:49:42,919
Speaker 2: many people decided to do this because they were told

990
00:49:42,960 --> 00:49:45,960
Speaker 2: to do it and then like maybe they could have recovered.

991
00:49:46,080 --> 00:49:48,080
Speaker 3: Yeah, I mean maybe with this study and some more

992
00:49:48,120 --> 00:49:52,160
Speaker 3: additional research, the kind of qualifications for it will alter

993
00:49:52,400 --> 00:49:57,120
Speaker 3: over time. That's a huge number of people I know.

994
00:49:57,560 --> 00:50:00,439
Speaker 2: And and and when they say, I mean you don't

995
00:50:00,520 --> 00:50:02,719
Speaker 2: want your family me, because sometimes they'll come to you

996
00:50:02,760 --> 00:50:04,960
Speaker 2: and say like listen, even if they do survive, they're

997
00:50:05,000 --> 00:50:07,279
Speaker 2: going to be a vegetable their whole life. And they

998
00:50:07,280 --> 00:50:08,839
Speaker 2: say things like that, and you're like, well, I don't

999
00:50:08,840 --> 00:50:10,360
Speaker 2: want to do that to my loved one. Of course,

1000
00:50:10,400 --> 00:50:13,520
Speaker 2: that's you don't want to do that. But they're saying

1001
00:50:13,560 --> 00:50:16,640
Speaker 2: that some people like completely resume their regular life, Like,

1002
00:50:16,840 --> 00:50:18,120
Speaker 2: oh my god. Okay.

1003
00:50:18,160 --> 00:50:22,480
Speaker 3: The EU has opened a formal investigation into Meta over

1004
00:50:22,600 --> 00:50:25,400
Speaker 3: concerns that it isn't doing enough to safeguard the mental

1005
00:50:25,480 --> 00:50:28,799
Speaker 3: and physical health of children who use Facebook and Instagram.

1006
00:50:29,320 --> 00:50:31,120
Speaker 3: This is not really surprising to me.

1007
00:50:32,680 --> 00:50:34,880
Speaker 2: Why is it only in the EU? Why is it

1008
00:50:34,960 --> 00:50:35,759
Speaker 2: in America too?

1009
00:50:35,880 --> 00:50:40,360
Speaker 3: Because everything, like, think about everything, think about processed foods,

1010
00:50:40,360 --> 00:50:44,279
Speaker 3: for example, in Europe, they have such strict regulations over

1011
00:50:44,320 --> 00:50:46,520
Speaker 3: there about what can be in the food and everything

1012
00:50:46,560 --> 00:50:49,360
Speaker 3: that we have seen over studies over so many years

1013
00:50:49,719 --> 00:50:52,959
Speaker 3: that they have way less health problems associated with things

1014
00:50:53,000 --> 00:50:56,400
Speaker 3: like that, And you know, it just kind of shows

1015
00:50:56,440 --> 00:50:59,239
Speaker 3: that they care a lot more about people over there

1016
00:51:00,080 --> 00:51:03,319
Speaker 3: physical and mental help, seeing as they put their resources

1017
00:51:03,320 --> 00:51:04,560
Speaker 3: into checking these things.

1018
00:51:05,520 --> 00:51:07,279
Speaker 2: Yeah. I mean, I don't know, you might be able

1019
00:51:07,320 --> 00:51:09,520
Speaker 2: to talk to people over there that might disagree with that,

1020
00:51:09,560 --> 00:51:12,840
Speaker 2: but I see what you're saying. I just think that,

1021
00:51:14,320 --> 00:51:17,600
Speaker 2: you know, how like the World Health Organization got together

1022
00:51:17,719 --> 00:51:21,000
Speaker 2: for the whole COVID situation, Like, why why isn't this

1023
00:51:21,160 --> 00:51:23,279
Speaker 2: considered a public health crisis as.

1024
00:51:23,160 --> 00:51:25,960
Speaker 3: Well, really just because we have different calls in different countries.

1025
00:51:26,040 --> 00:51:30,600
Speaker 2: So it's yeah, I mean, I just we talk about

1026
00:51:30,600 --> 00:51:34,799
Speaker 2: this all the time, and I mean it's like all

1027
00:51:34,800 --> 00:51:36,719
Speaker 2: I could say is kids are fucked, Like what else?

1028
00:51:37,160 --> 00:51:40,520
Speaker 2: What else could you say? At this point, it's it's

1029
00:51:40,560 --> 00:51:43,440
Speaker 2: not going away, right, So we're gonna have to teach

1030
00:51:43,520 --> 00:51:46,080
Speaker 2: the kids how to use it. But just we you know,

1031
00:51:46,160 --> 00:51:48,640
Speaker 2: we have kids now that are nine and eleven years old,

1032
00:51:48,719 --> 00:51:51,360
Speaker 2: and it's like we don't we're not getting them phones,

1033
00:51:51,400 --> 00:51:53,680
Speaker 2: but they have iPads and this and that, and they're

1034
00:51:53,680 --> 00:51:55,560
Speaker 2: getting to the age where they want to text their

1035
00:51:55,600 --> 00:51:57,319
Speaker 2: friends and this and that, and we have to sit

1036
00:51:57,360 --> 00:52:00,480
Speaker 2: them down all the time and say, like this is

1037
00:52:00,640 --> 00:52:01,720
Speaker 2: forever on the phone.

1038
00:52:01,719 --> 00:52:03,839
Speaker 3: If you send a picture, you sent a talking about

1039
00:52:03,840 --> 00:52:07,000
Speaker 3: a couple of stories ago. So like the girls don't

1040
00:52:07,000 --> 00:52:09,320
Speaker 3: have TikTok, right, But how did they know about the

1041
00:52:09,360 --> 00:52:12,520
Speaker 3: one chip challenge? Because somebody they know will always know

1042
00:52:12,600 --> 00:52:15,399
Speaker 3: what's going on on the internet and bad things going on, right,

1043
00:52:15,800 --> 00:52:17,040
Speaker 3: so you have to think of just that.

1044
00:52:17,120 --> 00:52:20,080
Speaker 2: Yeah, or they just put it on YouTube or whatever.

1045
00:52:20,239 --> 00:52:23,400
Speaker 2: Like I mean, it's it's the same, it's all the

1046
00:52:23,440 --> 00:52:26,319
Speaker 2: same thing. They yes, exactly. They knew about it. They

1047
00:52:26,360 --> 00:52:29,560
Speaker 2: heard it in school wherever. Like they also heard about

1048
00:52:29,560 --> 00:52:33,040
Speaker 2: the Kylie Jenner lip challenge, which we know that one

1049
00:52:33,040 --> 00:52:35,360
Speaker 2: of my kids did that with the stupid water bottle,

1050
00:52:35,400 --> 00:52:40,200
Speaker 2: and like, I can't but this is I know. But

1051
00:52:40,800 --> 00:52:45,120
Speaker 2: it's just like you can't teach their own because think

1052
00:52:45,160 --> 00:52:46,920
Speaker 2: about when you were a kid and your parents were

1053
00:52:46,960 --> 00:52:48,960
Speaker 2: talking to you and you were just like whatever, Like

1054
00:52:49,320 --> 00:52:53,480
Speaker 2: I was so scared of you that I listened everything. Yeah, well,

1055
00:52:53,520 --> 00:52:57,080
Speaker 2: you're not normal with kid because because that's not normally

1056
00:52:57,120 --> 00:53:00,480
Speaker 2: how kids react. But I think I don't know, And

1057
00:53:00,520 --> 00:53:02,759
Speaker 2: this wasn't really an issue with you when you were

1058
00:53:02,800 --> 00:53:04,880
Speaker 2: a kid because it wasn't as much as but now

1059
00:53:05,360 --> 00:53:08,879
Speaker 2: it's like kids could send stuff now and it could

1060
00:53:08,920 --> 00:53:12,239
Speaker 2: affect them in twenty years from Loudly, they don't understand

1061
00:53:12,280 --> 00:53:15,600
Speaker 2: how Like it's the same thing we talk about with

1062
00:53:15,719 --> 00:53:18,879
Speaker 2: boomers on Facebook. They don't understand how the internet works.

1063
00:53:18,880 --> 00:53:21,880
Speaker 2: Oh my good. Literally they don't understand that like everybody

1064
00:53:21,920 --> 00:53:24,720
Speaker 2: could see everything that they're saying and doing and stuff.

1065
00:53:24,760 --> 00:53:28,359
Speaker 2: It's like we're in this weird situation of life where

1066
00:53:28,360 --> 00:53:31,319
Speaker 2: we're sandwiched in the middle of two generations that don't

1067
00:53:31,400 --> 00:53:33,800
Speaker 2: understand how the internet works.

1068
00:53:33,840 --> 00:53:36,120
Speaker 3: Kindly interesting when you put it that way, because it's

1069
00:53:36,160 --> 00:53:38,760
Speaker 3: like you think a sixty year old that has lived

1070
00:53:38,960 --> 00:53:41,960
Speaker 3: life would just grasp the concept, but they just cannot.

1071
00:53:42,040 --> 00:53:44,160
Speaker 3: And it's funny to they don't see them with a

1072
00:53:44,200 --> 00:53:45,600
Speaker 3: ten year old child's brain.

1073
00:53:46,560 --> 00:53:49,440
Speaker 2: And if you talk to any friend. I think I

1074
00:53:49,520 --> 00:53:52,560
Speaker 2: was talking to Aunt Kara about this and they live

1075
00:53:52,600 --> 00:53:55,400
Speaker 2: in Minnesota and her mother and stuff, and it's just

1076
00:53:55,440 --> 00:53:58,280
Speaker 2: like you could talk to any person that has parents

1077
00:53:58,320 --> 00:54:00,360
Speaker 2: that are on Facebook and they will all say the

1078
00:54:00,400 --> 00:54:03,680
Speaker 2: same shit about like, oh my god, my mom posted

1079
00:54:03,719 --> 00:54:06,600
Speaker 2: this or this, that and the other. The best story

1080
00:54:06,680 --> 00:54:08,400
Speaker 2: is that we have to tell the story about mo

1081
00:54:08,480 --> 00:54:11,080
Speaker 2: Mom and her bras I was gonna say, I was

1082
00:54:11,160 --> 00:54:13,279
Speaker 2: gonna tell about there's a lot of there's a lot

1083
00:54:13,280 --> 00:54:14,840
Speaker 2: of stories with mo Mom, but the one with the

1084
00:54:14,880 --> 00:54:18,399
Speaker 2: bro I was gonna talk about fuck Tiery. No, Oh,

1085
00:54:18,640 --> 00:54:20,160
Speaker 2: you could talk about that really quick.

1086
00:54:20,239 --> 00:54:23,480
Speaker 3: That it was some post that was like change your

1087
00:54:23,520 --> 00:54:26,239
Speaker 3: first name to the word fuck and the first four

1088
00:54:26,360 --> 00:54:28,680
Speaker 3: letters of your last name to fuck. So I get

1089
00:54:28,680 --> 00:54:34,000
Speaker 3: this suggestion on my feed with my grandmother posting fuck

1090
00:54:34,120 --> 00:54:37,279
Speaker 3: fuck Tiery instead of Beth qual Tiery. I was like,

1091
00:54:37,320 --> 00:54:38,640
Speaker 3: what are you doing.

1092
00:54:39,280 --> 00:54:43,080
Speaker 2: Now all the time, and it's and and like, got my,

1093
00:54:43,280 --> 00:54:46,560
Speaker 2: it's somewhat something I don't know. I don't really even

1094
00:54:46,640 --> 00:54:49,239
Speaker 2: understand why how Facebook works, is why I don't use

1095
00:54:49,280 --> 00:54:52,120
Speaker 2: it that much. Talk to any single person that has

1096
00:54:52,200 --> 00:54:55,040
Speaker 2: parents that are on Facebook, and they probably all, well,

1097
00:54:55,160 --> 00:54:57,680
Speaker 2: we'll share the story with about the brother. Yes.

1098
00:54:57,840 --> 00:55:02,359
Speaker 3: Wait, so mama, like whatever, you get notifications for any

1099
00:55:02,440 --> 00:55:04,120
Speaker 3: activity somebody you're friends with does.

1100
00:55:04,520 --> 00:55:07,160
Speaker 2: So we get a notification that she's she's gonna kill

1101
00:55:07,200 --> 00:55:07,880
Speaker 2: us for saying this.

1102
00:55:09,480 --> 00:55:12,840
Speaker 3: I'm sure I'm gonna get a text MFM me in

1103
00:55:12,880 --> 00:55:15,719
Speaker 3: a couple hours after we drop this. So then we

1104
00:55:15,760 --> 00:55:18,680
Speaker 3: get a notification that she's listed her bras for sale

1105
00:55:18,760 --> 00:55:21,320
Speaker 3: on Facebook Marketplace. So we're like, what are you doing?

1106
00:55:22,719 --> 00:55:26,640
Speaker 2: Yeah? And and actually that's another thing that my father

1107
00:55:26,680 --> 00:55:30,239
Speaker 2: in law did too, Like you list stuff on Facebook marketplace, right,

1108
00:55:30,800 --> 00:55:34,200
Speaker 2: and everybody that you're friends with can see what you're selling,

1109
00:55:34,719 --> 00:55:38,680
Speaker 2: so which they don't think about that. Actually it's actually

1110
00:55:38,719 --> 00:55:41,400
Speaker 2: there is a box you can click when you're listing

1111
00:55:41,440 --> 00:55:45,600
Speaker 2: something on Facebook Marketplace that says hide from friends. Yeah,

1112
00:55:45,600 --> 00:55:48,239
Speaker 2: but they don't know that shit, they would never do that.

1113
00:55:48,360 --> 00:55:51,920
Speaker 2: So it's like your your idea for the for the

1114
00:55:52,000 --> 00:55:55,040
Speaker 2: Instagram called Boomer's Gone Wild is just genius. So you

1115
00:55:55,120 --> 00:55:57,560
Speaker 2: really you could get submissions all day long because this

1116
00:55:57,680 --> 00:55:59,800
Speaker 2: is Beth. We love you so much, but your Internet

1117
00:55:59,800 --> 00:56:04,440
Speaker 2: behavior is out of control. And it's it's not just

1118
00:56:04,520 --> 00:56:07,799
Speaker 2: those two things. It's like we we screenshots ship to

1119
00:56:07,840 --> 00:56:09,840
Speaker 2: each other every day. It's like me and Maria and

1120
00:56:09,880 --> 00:56:13,440
Speaker 2: Louis have a text group text because all like I

1121
00:56:13,480 --> 00:56:16,040
Speaker 2: even see it, like in my town Facebook group, it'll

1122
00:56:16,040 --> 00:56:20,080
Speaker 2: be like tiger friend that does this, or did you

1123
00:56:20,239 --> 00:56:22,000
Speaker 2: remember this when you were a little kid, And it's

1124
00:56:22,040 --> 00:56:24,200
Speaker 2: always shit that like I don't even remember the toys,

1125
00:56:24,239 --> 00:56:26,160
Speaker 2: so it has to be geared towards like sixty year

1126
00:56:26,160 --> 00:56:29,160
Speaker 2: old people and stuff, you know. And then they're all

1127
00:56:29,200 --> 00:56:31,719
Speaker 2: commenting underneath, and you read all the comments underneath, and

1128
00:56:31,760 --> 00:56:33,920
Speaker 2: you're like, oh my god, do these people know that

1129
00:56:33,960 --> 00:56:36,520
Speaker 2: their first and last name is attached to these comments?

1130
00:56:36,520 --> 00:56:37,200
Speaker 2: Really don't?

1131
00:56:37,760 --> 00:56:40,000
Speaker 3: They just don't get it and they and they also

1132
00:56:40,080 --> 00:56:43,000
Speaker 3: don't know when they troll on our Facebook page that

1133
00:56:43,080 --> 00:56:45,920
Speaker 3: I also can see their name, So maybe be a

1134
00:56:46,000 --> 00:56:50,800
Speaker 3: nice person adult troll us in the comments, thank you anyway,

1135
00:56:50,880 --> 00:56:53,839
Speaker 3: So yeah, they're getting investigated. They're kind of just gonna

1136
00:56:53,920 --> 00:56:56,120
Speaker 3: check out the you know, a couple of years ago,

1137
00:56:56,239 --> 00:56:59,040
Speaker 3: this whistleblower came forward saying that they knew that there

1138
00:56:59,120 --> 00:57:03,040
Speaker 3: was all these problems with younger people and behavior associated

1139
00:57:03,080 --> 00:57:05,080
Speaker 3: with the apps, and they said that wasn't true and

1140
00:57:05,560 --> 00:57:07,959
Speaker 3: all this stuff. Oh, but they're gonna take a deep

1141
00:57:08,000 --> 00:57:10,600
Speaker 3: dive into their back end and look at their algorithm

1142
00:57:10,640 --> 00:57:14,080
Speaker 3: and their suggested content. I've spoken about this many times that, like,

1143
00:57:14,480 --> 00:57:18,440
Speaker 3: I don't necessarily consider myself to have a problem with

1144
00:57:18,480 --> 00:57:20,000
Speaker 3: the way I look right now. But when I was

1145
00:57:20,000 --> 00:57:22,400
Speaker 3: a teenager, you know, as most teenage girls do, I

1146
00:57:22,400 --> 00:57:25,240
Speaker 3: was very self conscious about my appearance and that I

1147
00:57:25,280 --> 00:57:28,240
Speaker 3: would be constantly being fed ads about making my stomach

1148
00:57:28,360 --> 00:57:31,720
Speaker 3: flatter and taking weight loss drugs and dieting. And I

1149
00:57:31,720 --> 00:57:35,360
Speaker 3: don't really appreciate that, considering I've never really googled that stuff,

1150
00:57:35,360 --> 00:57:37,840
Speaker 3: and I think I look okay right now. So like,

1151
00:57:38,240 --> 00:57:40,680
Speaker 3: and I'm like, is it scanning my pictures and telling

1152
00:57:40,720 --> 00:57:43,360
Speaker 3: me I need to be skinnier or is this just

1153
00:57:43,760 --> 00:57:45,800
Speaker 3: their fucked up way about going about things.

1154
00:57:45,840 --> 00:57:49,160
Speaker 2: So it's just it's just like, listen, me and Gabe

1155
00:57:49,200 --> 00:57:51,440
Speaker 2: send videos to each other on Instagram back and forth,

1156
00:57:51,480 --> 00:57:55,480
Speaker 2: all day long and it's cats, plants and baseball, like

1157
00:57:55,640 --> 00:57:57,600
Speaker 2: all the time. Both of our feeds are just filled

1158
00:57:57,600 --> 00:57:59,480
Speaker 2: with that, Like it's just like you just get what

1159
00:57:59,520 --> 00:58:02,120
Speaker 2: you look at and the whole like listening to you.

1160
00:58:02,640 --> 00:58:05,560
Speaker 3: I mean, people can't even deny anymore that they listen

1161
00:58:05,640 --> 00:58:07,520
Speaker 3: to you through your phone. But there was even an

1162
00:58:07,720 --> 00:58:11,000
Speaker 3: entire storyline on suc Session about this where they had

1163
00:58:11,000 --> 00:58:14,080
Speaker 3: a similar app and they were gonna make some motto

1164
00:58:14,160 --> 00:58:16,480
Speaker 3: called We're listening, and they were like, we can't put

1165
00:58:16,560 --> 00:58:18,840
Speaker 3: we're listening because then they'll know what's going on behind

1166
00:58:18,920 --> 00:58:19,440
Speaker 3: the scenes.

1167
00:58:20,160 --> 00:58:23,360
Speaker 2: Yeah, exactly. Well I was gonna say that too that

1168
00:58:23,520 --> 00:58:27,439
Speaker 2: there's this Netflix documentary which I think everybody should watch.

1169
00:58:27,440 --> 00:58:31,320
Speaker 2: It's called like The Social Experiment or something, you know,

1170
00:58:31,520 --> 00:58:34,240
Speaker 2: I don't remember the Social Project, I don't know, something

1171
00:58:34,320 --> 00:58:37,280
Speaker 2: like that, but it's about Network, which is the movie

1172
00:58:37,720 --> 00:58:41,160
Speaker 2: No No, No. This is like a documentary about social

1173
00:58:41,200 --> 00:58:45,840
Speaker 2: media and kids especially and people that run that work

1174
00:58:45,880 --> 00:58:48,479
Speaker 2: for these companies and run these companies. In the very

1175
00:58:48,640 --> 00:58:50,880
Speaker 2: end of it, after your life is totally ruined from

1176
00:58:50,920 --> 00:58:53,120
Speaker 2: watching it, at the very end of it, they're like,

1177
00:58:53,200 --> 00:58:57,000
Speaker 2: would you does your child have social media? And they're like, no,

1178
00:58:57,080 --> 00:58:58,840
Speaker 2: I would never let them get it until they're eighteen.

1179
00:58:58,880 --> 00:59:01,240
Speaker 2: Like every one of them says that it's so crazy.

1180
00:59:01,520 --> 00:59:03,880
Speaker 2: The people that created it and that are living like

1181
00:59:03,920 --> 00:59:07,440
Speaker 2: billionaires off of it say that. So Mark Zuckerberg, for example, like,

1182
00:59:07,480 --> 00:59:09,200
Speaker 2: do you think that his kids are going on that?

1183
00:59:10,720 --> 00:59:12,640
Speaker 3: And if they go on it, they probably have their

1184
00:59:12,640 --> 00:59:15,640
Speaker 3: own special version that he codd himself, you know, like

1185
00:59:16,040 --> 00:59:17,680
Speaker 3: they get special treatment in it.

1186
00:59:17,720 --> 00:59:19,480
Speaker 2: Also, I don't know.

1187
00:59:19,560 --> 00:59:22,480
Speaker 3: I'm honestly not surprised by this at all. I wish

1188
00:59:22,600 --> 00:59:25,360
Speaker 3: the United States, well, the United States is taking some

1189
00:59:25,520 --> 00:59:28,680
Speaker 3: actions towards them, but it's just taken a lot longer here.

1190
00:59:29,760 --> 00:59:31,040
Speaker 2: So whatever.

1191
00:59:31,320 --> 00:59:33,160
Speaker 3: I could talk about this for hours, but I'm sure

1192
00:59:33,200 --> 00:59:34,080
Speaker 3: people don't want to hire.

1193
00:59:34,000 --> 00:59:36,680
Speaker 2: Out for kids do a whole and like I get

1194
00:59:36,760 --> 00:59:39,640
Speaker 2: so pissed off about it, really, I just do. I

1195
00:59:39,720 --> 00:59:42,040
Speaker 2: just don't even want to talk about it anymore. All right,

1196
00:59:42,120 --> 00:59:43,560
Speaker 2: let's talk about other death news.

1197
00:59:43,640 --> 00:59:46,080
Speaker 3: Our last story today is local to us, and it's

1198
00:59:46,120 --> 00:59:49,280
Speaker 3: absolutely crazy. So a few days ago, no news broke

1199
00:59:49,320 --> 00:59:52,640
Speaker 3: in our area that a few cars and human remains

1200
00:59:52,640 --> 00:59:55,080
Speaker 3: have been pulled from the Cooper River in Camden, New Jersey.

1201
00:59:55,320 --> 00:59:57,600
Speaker 3: So my friend Rachel actually sent this to me first,

1202
00:59:57,600 --> 00:59:59,440
Speaker 3: and I had no idea this was going on. And

1203
00:59:59,440 --> 01:00:01,560
Speaker 3: then I sent it to you and you're.

1204
01:00:01,360 --> 01:00:03,560
Speaker 2: Like, which I was sitting at the softball field talk

1205
01:00:03,600 --> 01:00:07,040
Speaker 2: you were like, I'm all over this. Yeah. Yeah, so

1206
01:00:07,120 --> 01:00:10,160
Speaker 2: it's it's because it's what ten minutes not even ten

1207
01:00:10,160 --> 01:00:12,760
Speaker 2: minutes away from our house, and yeah, it's like, oh,

1208
01:00:12,840 --> 01:00:14,920
Speaker 2: we pulled a couple of cars out of the water

1209
01:00:15,120 --> 01:00:17,840
Speaker 2: and one of them had human remains, And you're like, okay,

1210
01:00:17,880 --> 01:00:21,480
Speaker 2: what And then when you hear the story, which isn't

1211
01:00:21,840 --> 01:00:25,240
Speaker 2: one hundred percent official yet because officials have not given

1212
01:00:25,320 --> 01:00:28,840
Speaker 2: a statement on this, but what happened was basically, this

1213
01:00:28,920 --> 01:00:32,040
Speaker 2: woman went missing fourteen years ago that lived in Camden

1214
01:00:32,040 --> 01:00:35,000
Speaker 2: and she had a history of depression and it was

1215
01:00:35,040 --> 01:00:38,440
Speaker 2: thought that she that she had possibly killed herself, and

1216
01:00:38,480 --> 01:00:41,160
Speaker 2: the family went to the police to try to find her.

1217
01:00:41,440 --> 01:00:43,959
Speaker 2: They knew what car she had, and like, she never

1218
01:00:44,000 --> 01:00:46,000
Speaker 2: came up and neither did her car. Like they just

1219
01:00:46,120 --> 01:00:49,240
Speaker 2: totally fell off the face of the planet. And of course,

1220
01:00:49,280 --> 01:00:51,280
Speaker 2: like your mom goes missing and stuff, you're going to

1221
01:00:51,360 --> 01:00:53,800
Speaker 2: fight for years and try to find out where she

1222
01:00:54,040 --> 01:00:56,720
Speaker 2: is and what happened, and like, is she still alive somewhere?

1223
01:00:56,760 --> 01:01:00,480
Speaker 2: Did she die, Is she okay? Whatever? And the police

1224
01:01:00,920 --> 01:01:03,560
Speaker 2: didn't help at all. So they ended up hiring this

1225
01:01:04,120 --> 01:01:06,680
Speaker 2: really cool organization that I ever heard of called the

1226
01:01:06,760 --> 01:01:11,400
Speaker 2: United Search Corps, and these people got together with the

1227
01:01:11,480 --> 01:01:16,000
Speaker 2: family and well, secret, we're probably going to interview these

1228
01:01:16,000 --> 01:01:18,600
Speaker 2: people soon so we could get more detailent on exactly

1229
01:01:18,640 --> 01:01:19,200
Speaker 2: how this went.

1230
01:01:19,280 --> 01:01:21,360
Speaker 3: I spoke to Doug this morning to try to get

1231
01:01:21,400 --> 01:01:23,720
Speaker 3: him on the show. He was an absolute sweetheart. So

1232
01:01:23,800 --> 01:01:26,600
Speaker 3: we're gonna hope to try to We're gonna manifest their

1233
01:01:26,800 --> 01:01:30,200
Speaker 3: interview with them on this show because their organization is

1234
01:01:30,280 --> 01:01:34,040
Speaker 3: absolutely incredible. This story is really incredible. I'm really excited

1235
01:01:34,080 --> 01:01:37,080
Speaker 3: to hear about, you know, the background, how he got

1236
01:01:37,120 --> 01:01:39,840
Speaker 3: to have this job, other cases they've worked on, and

1237
01:01:39,960 --> 01:01:42,800
Speaker 3: especially how they led to this. So, I mean, we

1238
01:01:42,880 --> 01:01:45,600
Speaker 3: now know the We don't know officially because they're waiting

1239
01:01:45,600 --> 01:01:48,960
Speaker 3: on DNA and everything like that, but we suspect that

1240
01:01:49,000 --> 01:01:51,160
Speaker 3: the one vehicle and the remains belonged to this woman

1241
01:01:51,160 --> 01:01:53,080
Speaker 3: who was missing. But where did the other two cars

1242
01:01:53,080 --> 01:01:57,760
Speaker 3: come from? Well that's right behind the pub and stuff.

1243
01:01:57,800 --> 01:01:59,440
Speaker 3: It's like the sketchiest area ever.

1244
01:01:59,480 --> 01:02:00,360
Speaker 2: Yeah, you know, I'm talking.

1245
01:02:00,520 --> 01:02:02,920
Speaker 3: I know exactly what drives I used to drive. So,

1246
01:02:03,200 --> 01:02:05,160
Speaker 3: but I used to drive by there every single day

1247
01:02:05,160 --> 01:02:06,080
Speaker 3: when I was going to school.

1248
01:02:06,720 --> 01:02:11,200
Speaker 2: Yeah, it's like there's always murders happening, I'm certain, but

1249
01:02:11,960 --> 01:02:14,800
Speaker 2: so I'm not surprised that that that happened in that area.

1250
01:02:15,000 --> 01:02:17,600
Speaker 2: It's just it's kind of cool to know that there's

1251
01:02:17,640 --> 01:02:21,160
Speaker 2: an organization out there that that will listen to you

1252
01:02:21,280 --> 01:02:23,920
Speaker 2: and will help you. Yeah. So, I mean, and we

1253
01:02:24,000 --> 01:02:26,720
Speaker 2: don't know the story behind it because like the authority

1254
01:02:26,840 --> 01:02:28,560
Speaker 2: is of being a little hush hush about it right

1255
01:02:28,600 --> 01:02:32,200
Speaker 2: now because they probably feel like a little dumb that

1256
01:02:32,320 --> 01:02:34,920
Speaker 2: some company found this car in the water with human

1257
01:02:34,960 --> 01:02:38,840
Speaker 2: remains and was like, Hi, you can come now, job's done. Yeah,

1258
01:02:39,440 --> 01:02:43,560
Speaker 2: so and assuming that there was barely anything left, just

1259
01:02:43,680 --> 01:02:46,680
Speaker 2: skeletonized remains at that point after being in the water

1260
01:02:46,760 --> 01:02:49,640
Speaker 2: for fourteen years, but they definitely know it's her car

1261
01:02:49,760 --> 01:02:52,800
Speaker 2: with her license plate on it. So, I mean, I

1262
01:02:52,800 --> 01:02:55,480
Speaker 2: guess there's a small you have to for forensics and

1263
01:02:55,520 --> 01:02:59,760
Speaker 2: everything do DNA just to confirm, but it's it's a

1264
01:03:00,040 --> 01:03:02,000
Speaker 2: great story for the family at least that they have

1265
01:03:02,080 --> 01:03:05,840
Speaker 2: closure now because just imagine, like we always say this,

1266
01:03:05,920 --> 01:03:07,760
Speaker 2: if one of your loved ones dies, it would be horrible,

1267
01:03:07,800 --> 01:03:09,600
Speaker 2: But it'd be even more horrible if they were missing

1268
01:03:09,680 --> 01:03:11,560
Speaker 2: and you didn't know what really happened. So I can't

1269
01:03:11,560 --> 01:03:12,440
Speaker 2: even imagine.

1270
01:03:13,360 --> 01:03:16,080
Speaker 3: Okay, So on to Question of the Day. Every Friday

1271
01:03:16,120 --> 01:03:18,600
Speaker 3: at the at mother nos Death Instagram account, we put

1272
01:03:18,600 --> 01:03:21,360
Speaker 3: a little question box up in the story. We even

1273
01:03:21,400 --> 01:03:24,720
Speaker 3: put a little box up yesterday asking for suggestions of guests.

1274
01:03:24,720 --> 01:03:27,040
Speaker 3: You know, this show is tailored for you, guys, so

1275
01:03:27,080 --> 01:03:28,800
Speaker 3: we want to know what you want on the show.

1276
01:03:29,360 --> 01:03:31,840
Speaker 3: So first question is what is the best part of

1277
01:03:31,920 --> 01:03:36,600
Speaker 3: working in a hospital pathology lab. First, let's say that

1278
01:03:36,840 --> 01:03:38,560
Speaker 3: a lot of people said they want to Gabe on

1279
01:03:38,600 --> 01:03:41,360
Speaker 3: the show, and we just want to know. Y, Yeah,

1280
01:03:41,440 --> 01:03:43,720
Speaker 3: like what he could be on the show if you want,

1281
01:03:43,760 --> 01:03:45,520
Speaker 3: But like, what are we going to talk about?

1282
01:03:46,040 --> 01:03:47,880
Speaker 2: You know what we could talk to him about? Actually,

1283
01:03:47,920 --> 01:03:50,040
Speaker 2: because we wrote in the grocer Room yesterday this is

1284
01:03:50,080 --> 01:03:52,640
Speaker 2: a good article if you guys are interested in joining

1285
01:03:52,680 --> 01:03:55,600
Speaker 2: for our sale, which starts on Sunday at the grocerroom

1286
01:03:55,600 --> 01:03:59,240
Speaker 2: dot com. We wrote an article about spontaneous human combustion

1287
01:03:59,480 --> 01:04:03,840
Speaker 2: and he was actually helpful in uh some of my

1288
01:04:04,000 --> 01:04:06,280
Speaker 2: theories as to why I didn't think that it was

1289
01:04:06,320 --> 01:04:08,160
Speaker 2: possible for that. You weren't taken.

1290
01:04:08,600 --> 01:04:10,400
Speaker 3: It didn't take a whole day to explain it.

1291
01:04:11,560 --> 01:04:14,280
Speaker 2: It did. He's he's the worst at explaining things. But

1292
01:04:15,320 --> 01:04:17,480
Speaker 2: I did. I did text him and got the answer

1293
01:04:17,520 --> 01:04:19,280
Speaker 2: out of that I wanted out of him, and it

1294
01:04:19,320 --> 01:04:22,680
Speaker 2: only took maybe a half hour instead of five hours.

1295
01:04:24,120 --> 01:04:26,400
Speaker 2: So yeah, we will. We would have him on here

1296
01:04:26,440 --> 01:04:28,280
Speaker 2: if you have some questions you would like to us

1297
01:04:28,360 --> 01:04:31,120
Speaker 2: to ask him or just talk about random fire stuff

1298
01:04:31,200 --> 01:04:36,880
Speaker 2: or whatever. But so sorry, I wasn't listening to what's

1299
01:04:36,920 --> 01:04:37,520
Speaker 2: your question.

1300
01:04:37,760 --> 01:04:40,200
Speaker 3: What is the best part of working in a hospital

1301
01:04:40,280 --> 01:04:41,200
Speaker 3: pathology lab?

1302
01:04:42,920 --> 01:04:47,439
Speaker 2: Oh, listen, everything's great about working in a hospital pathology lab,

1303
01:04:47,560 --> 01:04:50,760
Speaker 2: except working for a corporation like a hospital. I mean,

1304
01:04:50,760 --> 01:04:53,919
Speaker 2: it's just great. It's you work. For the most part,

1305
01:04:54,120 --> 01:04:57,680
Speaker 2: it's like some of my my best friends forever I

1306
01:04:57,680 --> 01:05:00,320
Speaker 2: I've worked with or went to school with, And it's

1307
01:05:00,400 --> 01:05:03,800
Speaker 2: like such a weird little part of the hospital because

1308
01:05:03,840 --> 01:05:05,920
Speaker 2: we don't have the same thing in common, like if

1309
01:05:05,920 --> 01:05:09,600
Speaker 2: you work in radiology or you work in nursing, on

1310
01:05:09,640 --> 01:05:11,880
Speaker 2: the floor anything, it's like you all have patience, you

1311
01:05:11,920 --> 01:05:14,720
Speaker 2: all have the same kind of thing. And when we

1312
01:05:14,760 --> 01:05:17,000
Speaker 2: go it's just we go in the lab. We don't

1313
01:05:17,000 --> 01:05:21,439
Speaker 2: see patients. We just see each other where it's very dark,

1314
01:05:21,520 --> 01:05:23,960
Speaker 2: sometimes there's no windows. It's just like a different kind

1315
01:05:24,000 --> 01:05:27,520
Speaker 2: of a vibe. And sometimes you work with a really

1316
01:05:27,600 --> 01:05:30,160
Speaker 2: great group of people because lots of times they're like

1317
01:05:30,240 --> 01:05:33,840
Speaker 2: really weirdos, which is cool because it makes life interesting

1318
01:05:34,480 --> 01:05:36,760
Speaker 2: and you just I mean, some people you work with

1319
01:05:36,800 --> 01:05:39,000
Speaker 2: are always going to be douche or whatever, but you

1320
01:05:39,080 --> 01:05:41,280
Speaker 2: just you normally just get to meet a really great

1321
01:05:41,320 --> 01:05:45,600
Speaker 2: group of people. And just seeing pathology every day is

1322
01:05:45,680 --> 01:05:47,960
Speaker 2: just is just so cool. And then being able to

1323
01:05:48,400 --> 01:05:50,919
Speaker 2: figure stuff out when people are having problems and help

1324
01:05:50,960 --> 01:05:54,000
Speaker 2: them get a diagnosis and stuff. It's just really it's

1325
01:05:54,080 --> 01:05:57,520
Speaker 2: just really rewarding and it's a great job and it's

1326
01:05:57,520 --> 01:06:01,880
Speaker 2: a shame that it's ruined by a corporation. Bullshit.

1327
01:06:02,040 --> 01:06:05,040
Speaker 3: All right, Next, Maria, what's your favorite thing to do

1328
01:06:05,120 --> 01:06:10,800
Speaker 3: with your sisters? Well, I was Prince Tea. Yeah, we

1329
01:06:10,840 --> 01:06:13,560
Speaker 3: go there the Prince Teahouse, which is a chain of

1330
01:06:14,080 --> 01:06:17,760
Speaker 3: tea places opened up near us. So I like to

1331
01:06:17,800 --> 01:06:21,200
Speaker 3: take them to do that. That's really fun for I mean,

1332
01:06:21,240 --> 01:06:23,800
Speaker 3: I took Lillian by myself for the first time, and

1333
01:06:23,840 --> 01:06:26,360
Speaker 3: then you and Lulu came the next time. So I

1334
01:06:26,480 --> 01:06:28,360
Speaker 3: like doing out, all four of us, because we could

1335
01:06:28,400 --> 01:06:29,960
Speaker 3: just all get our little pot of tea in a

1336
01:06:29,960 --> 01:06:32,800
Speaker 3: little dessert and just talk. And that's always fun to

1337
01:06:32,840 --> 01:06:35,560
Speaker 3: hang out. I love the occasional nights when I come

1338
01:06:35,600 --> 01:06:38,320
Speaker 3: over and watch movies and Lillian gets so hyper that

1339
01:06:38,400 --> 01:06:40,200
Speaker 3: she reads the word loser.

1340
01:06:39,880 --> 01:06:43,160
Speaker 2: As lost or she was so annoying.

1341
01:06:43,280 --> 01:06:46,840
Speaker 3: She was extra annoying that day a couple of weeks ago,

1342
01:06:46,960 --> 01:06:50,000
Speaker 3: I took them to play pickleball, which Lulu had absolutely

1343
01:06:50,080 --> 01:06:53,120
Speaker 3: no interest in participating in it all. But Lilian, like me,

1344
01:06:53,280 --> 01:06:56,040
Speaker 3: is very uncoordinated, so it was just hilarious trying to

1345
01:06:56,080 --> 01:06:58,560
Speaker 3: see he hit the ball. But yeah, I just I

1346
01:06:58,640 --> 01:07:01,000
Speaker 3: like taking them to do little fun I cactivities. I

1347
01:07:01,080 --> 01:07:03,240
Speaker 3: used to when they were younger, take them to the movies,

1348
01:07:03,320 --> 01:07:05,640
Speaker 3: but they just never really see that into it, so

1349
01:07:06,840 --> 01:07:09,320
Speaker 3: they'd probably be into it now they're a little older, Yeah,

1350
01:07:09,360 --> 01:07:10,320
Speaker 3: because they really.

1351
01:07:10,120 --> 01:07:11,200
Speaker 2: Like going to the movies now.

1352
01:07:11,280 --> 01:07:13,120
Speaker 3: Yeah, I also feel like they just think they're too

1353
01:07:13,200 --> 01:07:15,360
Speaker 3: cool for me sometimes, so that's that.

1354
01:07:15,440 --> 01:07:18,320
Speaker 2: But well, they're just cool in general. They're at that

1355
01:07:18,360 --> 01:07:21,200
Speaker 2: age where you have to like knock them down a

1356
01:07:21,240 --> 01:07:23,680
Speaker 2: little bit because you're like, you're just not cool, Like, yeah,

1357
01:07:23,760 --> 01:07:25,680
Speaker 2: I just have to keep telling them they're not. I

1358
01:07:25,720 --> 01:07:27,520
Speaker 2: would say my favorite thing that was going to the

1359
01:07:27,520 --> 01:07:30,600
Speaker 2: tea place because that's something that Mo Mom took me

1360
01:07:30,640 --> 01:07:32,480
Speaker 2: to do a couple of times with the Deity, my

1361
01:07:32,600 --> 01:07:35,000
Speaker 2: cousin when I was little, so I like doing it

1362
01:07:35,040 --> 01:07:37,040
Speaker 2: with them. It reminds me of being their age and

1363
01:07:37,080 --> 01:07:39,920
Speaker 2: mom I taking us to that place in Haddonfield, but

1364
01:07:40,480 --> 01:07:43,120
Speaker 2: it being like a slightly better selection and having more

1365
01:07:43,160 --> 01:07:46,360
Speaker 2: fun desserts. So that place is good. They have such

1366
01:07:46,400 --> 01:07:48,520
Speaker 2: good green milk tea. It's oh my god.

1367
01:07:48,560 --> 01:07:50,440
Speaker 3: Yeah, the rose tea I got last time was awesome.

1368
01:07:50,480 --> 01:07:52,800
Speaker 3: Their desserts are so good. I get some like coconut

1369
01:07:52,880 --> 01:07:54,800
Speaker 3: panacatta with strawberry ice cream.

1370
01:07:54,840 --> 01:07:56,160
Speaker 2: It Yeah, that's delicious.

1371
01:07:56,520 --> 01:08:00,160
Speaker 3: All right. Last question, Nicole, how have you changed as

1372
01:08:00,160 --> 01:08:04,400
Speaker 3: a mother from Maria to the current kids?

1373
01:08:04,880 --> 01:08:08,120
Speaker 2: A lot and then not a lot. Really, I definitely

1374
01:08:08,360 --> 01:08:15,680
Speaker 2: like cook better. Yeah, Maria unfortunately was you know, I

1375
01:08:15,760 --> 01:08:18,080
Speaker 2: was a single mom when I had her, and I

1376
01:08:18,160 --> 01:08:21,160
Speaker 2: wasn't really making a ton of money, so we ate

1377
01:08:21,240 --> 01:08:24,879
Speaker 2: a lot of just you know, like she said, mactt.

1378
01:08:24,880 --> 01:08:27,920
Speaker 2: We had we had our favorites like pastine, mac and

1379
01:08:28,000 --> 01:08:31,360
Speaker 2: cheese ham steak. I didn't know how to really.

1380
01:08:31,160 --> 01:08:33,360
Speaker 3: Cook at McDonald's dakhove.

1381
01:08:33,520 --> 01:08:35,320
Speaker 2: Now I don't even think we had I don't even

1382
01:08:35,320 --> 01:08:37,200
Speaker 2: think Chick fil a was well that was really there

1383
01:08:37,240 --> 01:08:39,479
Speaker 2: was the one in Defford, so it wasn't near us,

1384
01:08:39,479 --> 01:08:41,160
Speaker 2: but if we went to the different mall, we would

1385
01:08:41,240 --> 01:08:43,080
Speaker 2: get it and that was like the ultimate treat.

1386
01:08:43,120 --> 01:08:45,040
Speaker 3: And then we got that one in Audubon, so then

1387
01:08:45,080 --> 01:08:46,320
Speaker 3: we were having it all the time.

1388
01:08:46,760 --> 01:08:48,639
Speaker 2: I don't think there was one at different mall. There

1389
01:08:48,800 --> 01:08:52,439
Speaker 2: was in the yeah, oh yeah, yeah there was, you're right,

1390
01:08:52,840 --> 01:08:55,280
Speaker 2: yeah that we used to get that, but that we didn't. Yeah,

1391
01:08:55,320 --> 01:08:57,200
Speaker 2: there wasn't one around, so we didn't get it that much.

1392
01:08:57,680 --> 01:09:00,360
Speaker 2: But like, yeah, I mean she she just was kind

1393
01:09:00,400 --> 01:09:03,519
Speaker 2: of like I would get down from work at six

1394
01:09:03,520 --> 01:09:05,599
Speaker 2: o'clock and then drive her at to her after school

1395
01:09:05,640 --> 01:09:07,320
Speaker 2: program and pick her up, and we would stop at

1396
01:09:07,320 --> 01:09:10,080
Speaker 2: the grocery store or stopping a food or something Boston

1397
01:09:10,120 --> 01:09:13,599
Speaker 2: Market whatever, like it was just kind of really fast.

1398
01:09:13,600 --> 01:09:16,120
Speaker 2: So now I have more time that I could like

1399
01:09:16,360 --> 01:09:21,080
Speaker 2: cook better food and stuff like that, And I mean

1400
01:09:21,120 --> 01:09:23,360
Speaker 2: that's kind of it, Like what do you what do

1401
01:09:23,400 --> 01:09:25,400
Speaker 2: you think? Like we still do the same stuff, like

1402
01:09:25,479 --> 01:09:29,040
Speaker 2: we like watch movies and stuff, and I do their

1403
01:09:29,080 --> 01:09:31,840
Speaker 2: homework with don't just like regular stuff. I mean, Maria

1404
01:09:31,920 --> 01:09:34,120
Speaker 2: was pretty good about doing her homework by herself. She

1405
01:09:34,560 --> 01:09:36,600
Speaker 2: just was a good kid and like did what she

1406
01:09:36,680 --> 01:09:37,479
Speaker 2: was supposed to do.

1407
01:09:37,920 --> 01:09:41,000
Speaker 3: I jokingly refer sometimes that I got you during your

1408
01:09:41,040 --> 01:09:43,519
Speaker 3: fun phase because you were in like your early twenties,

1409
01:09:43,520 --> 01:09:46,080
Speaker 3: so meaning that like you would be more willing to

1410
01:09:46,120 --> 01:09:48,479
Speaker 3: take me to concerts and be out late or like

1411
01:09:48,720 --> 01:09:50,479
Speaker 3: pick me up from somewhere too in the morning. And

1412
01:09:50,520 --> 01:09:52,040
Speaker 3: I know you would do that for them now, but

1413
01:09:52,479 --> 01:09:53,080
Speaker 3: I feel like.

1414
01:09:53,120 --> 01:09:57,360
Speaker 2: No, I wouldn't. I am not like when they sit

1415
01:09:57,400 --> 01:09:59,040
Speaker 2: there and say, oh, can we go to the Tayler

1416
01:09:59,080 --> 01:10:01,360
Speaker 2: Swift tour, I'm just like I would rather give you

1417
01:10:01,400 --> 01:10:02,640
Speaker 2: five thousand dollars.

1418
01:10:02,320 --> 01:10:05,120
Speaker 3: Than good and well that would be my worst nightmare

1419
01:10:05,160 --> 01:10:07,320
Speaker 3: because I absolutely don't want to listen to her music.

1420
01:10:07,360 --> 01:10:09,960
Speaker 3: I would take them to that, like I would be

1421
01:10:10,040 --> 01:10:12,840
Speaker 3: the one to take them to do things like that,

1422
01:10:12,920 --> 01:10:16,400
Speaker 3: Whereas when I was their age, you were young, you were.

1423
01:10:16,240 --> 01:10:18,559
Speaker 2: My age, Yeah, I mean I took I took you, yeah,

1424
01:10:18,600 --> 01:10:20,960
Speaker 2: and I took you to places like that all the time,

1425
01:10:20,960 --> 01:10:24,280
Speaker 2: because that was like, It's just weird how you change

1426
01:10:24,280 --> 01:10:26,160
Speaker 2: as you get older, Like when I was your age,

1427
01:10:26,160 --> 01:10:28,880
Speaker 2: I had no problem eating dinner at nine o'clock at night.

1428
01:10:29,040 --> 01:10:31,360
Speaker 2: Like if a reservation was available at nine, I'd be like,

1429
01:10:31,439 --> 01:10:34,920
Speaker 2: oh cool, like let's go. I don't want to, Like

1430
01:10:35,000 --> 01:10:36,640
Speaker 2: I want to be in bed at nine o'clock at

1431
01:10:36,720 --> 01:10:38,479
Speaker 2: night now, and I want to eat no later than

1432
01:10:38,520 --> 01:10:41,840
Speaker 2: five point thirty. Like This's just there's certain things like yes,

1433
01:10:41,880 --> 01:10:44,920
Speaker 2: I'm really not fun anymore, to be honest you, but

1434
01:10:45,760 --> 01:10:48,400
Speaker 2: there's like stuff like that that's just different because I'm

1435
01:10:48,439 --> 01:10:51,400
Speaker 2: a way older person, like I did. I didn't have

1436
01:10:51,520 --> 01:10:55,880
Speaker 2: Lilian until Maria was eighteen years old, so it's just

1437
01:10:56,040 --> 01:10:59,400
Speaker 2: I'm so much older now and there's just like different things.

1438
01:10:59,479 --> 01:11:03,160
Speaker 2: I'm I'm married now, so I have like help with that,

1439
01:11:03,320 --> 01:11:06,599
Speaker 2: and it's just there's just different things. But overall, it's

1440
01:11:07,400 --> 01:11:10,320
Speaker 2: we still do the same traditions like we watch we

1441
01:11:10,400 --> 01:11:13,800
Speaker 2: have movie night and and things like that and we

1442
01:11:13,880 --> 01:11:16,679
Speaker 2: go down the shore. Just yeah, you there's not there's

1443
01:11:16,720 --> 01:11:17,680
Speaker 2: nothing like different in that.

1444
01:11:17,960 --> 01:11:21,680
Speaker 3: From my perspective, you are pretty similar with them. We

1445
01:11:21,840 --> 01:11:25,080
Speaker 3: just also had a different situation, which I understand, you know,

1446
01:11:25,240 --> 01:11:28,320
Speaker 3: like they they live in the same house their whole life.

1447
01:11:28,320 --> 01:11:32,080
Speaker 3: We moved a lot, like you know, I kind of

1448
01:11:32,160 --> 01:11:34,960
Speaker 3: kept to myself and you respected that, where like sometimes

1449
01:11:34,960 --> 01:11:37,200
Speaker 3: like they need a little more guidance in that area,

1450
01:11:38,560 --> 01:11:39,880
Speaker 3: especially because there's two of them.

1451
01:11:39,920 --> 01:11:41,400
Speaker 2: So like if they're I didn't.

1452
01:11:41,240 --> 01:11:43,519
Speaker 3: Have anybody to like fight with, for example, So like

1453
01:11:43,600 --> 01:11:45,760
Speaker 3: if they're fighting, you got to step in and stop it,

1454
01:11:46,560 --> 01:11:48,000
Speaker 3: and you got to be kind of more on their

1455
01:11:48,040 --> 01:11:49,519
Speaker 3: ass a little bit than I had to be.

1456
01:11:49,680 --> 01:11:52,320
Speaker 2: So there's just yeah, but it's it's kind of the

1457
01:11:52,360 --> 01:11:55,040
Speaker 2: same though. Like it's like we like, especially when Gabe

1458
01:11:55,040 --> 01:11:57,519
Speaker 2: has work at nights, like we will watch like a

1459
01:11:57,640 --> 01:12:01,160
Speaker 2: series of a show or something we just had, you know,

1460
01:12:01,240 --> 01:12:03,160
Speaker 2: the same with you, Like we had our things that

1461
01:12:03,200 --> 01:12:05,800
Speaker 2: we did all the time. And it's it's basically, from

1462
01:12:05,800 --> 01:12:08,879
Speaker 2: my observation, the same thing with like little things adjusted

1463
01:12:08,960 --> 01:12:12,719
Speaker 2: just simply based on life circumstances. So I would say,

1464
01:12:12,880 --> 01:12:15,960
Speaker 2: it's it's funny that your motherhood style has had it

1465
01:12:16,040 --> 01:12:18,719
Speaker 2: really changed in a twelve year or twenty year difference.

1466
01:12:18,760 --> 01:12:21,840
Speaker 2: So well, it worked out well with you, so I

1467
01:12:21,880 --> 01:12:24,160
Speaker 2: figure I'm thinking to change things up too much.

1468
01:12:25,400 --> 01:12:27,760
Speaker 3: No, all right, guys, well, thank you so much. We'll

1469
01:12:27,840 --> 01:12:29,719
Speaker 3: see you Thursday for our next episode.

1470
01:12:32,960 --> 01:12:36,800
Speaker 2: Thank you for listening to mother nos death. As a reminder,

1471
01:12:37,000 --> 01:12:40,800
Speaker 2: my training is as a pathologist assistant. I have a

1472
01:12:40,800 --> 01:12:45,200
Speaker 2: master's level education and specialize in anatomy and pathology education.

1473
01:12:46,320 --> 01:12:48,480
Speaker 2: I am not a doctor and I have not diagnosed

1474
01:12:48,560 --> 01:12:52,200
Speaker 2: or treated anyone dead or alive without the assistance of

1475
01:12:52,240 --> 01:12:57,439
Speaker 2: a licensed medical doctor. This show, my website, and social

1476
01:12:57,479 --> 01:13:01,000
Speaker 2: media accounts are designed to educate and warn people based

1477
01:13:01,040 --> 01:13:04,960
Speaker 2: on my experience working in pathology, so they can make

1478
01:13:05,160 --> 01:13:09,839
Speaker 2: healthier decisions regarding their life and well being. Always remember

1479
01:13:09,880 --> 01:13:13,000
Speaker 2: that science is changing every day and the opinions expressed

1480
01:13:13,000 --> 01:13:15,639
Speaker 2: in this episode are based on my knowledge of those

1481
01:13:15,680 --> 01:13:19,479
Speaker 2: subjects at the time of publication. If you are having

1482
01:13:19,520 --> 01:13:23,479
Speaker 2: a medical problem, have a medical question, or having a

1483
01:13:23,520 --> 01:13:27,880
Speaker 2: medical emergency, please contact your physician or visit an urgent

1484
01:13:27,880 --> 01:13:32,880
Speaker 2: care center, emergency room, or hospital. Please rate, review, and

1485
01:13:32,960 --> 01:13:37,479
Speaker 2: subscribe to Mother Knows Death on Apple, Spotify, YouTube, or

1486
01:13:37,560 --> 01:13:39,919
Speaker 2: anywhere you get podcasts. Thanks