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

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Speaker 2: Everyone welcome The Mother Knows Death. On today's episode, we're

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Speaker 2: going to be talking about the continuing drama of Gene

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Speaker 2: Hackman and his wife's death. A YouTuber who was killed

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Speaker 2: after revealing their location, a man who was held captive

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Speaker 2: by a stepmother for years, a baby cut out of

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Speaker 2: a pregnant teenager, a woman trying to sell toes on

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Speaker 2: the Internet, a man who just ate a rat in

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Speaker 2: the middle of New York City, and reasons why I

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Speaker 2: don't want to send my kids away to college. So

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Speaker 2: let's get started with Gene Hackman again for the third

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Speaker 2: week in a row.

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Speaker 1: Yeah. I thought we were definitely done talking about this

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Speaker 1: Gene Hackman case. But now Betsy, his wife's doctor, has

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Speaker 1: come out to say that she called him the day

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Speaker 1: after police said she died.

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Speaker 2: All right, I think this is kind of duchey by

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Speaker 2: the doctor, and I really don't understand what the point

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Speaker 2: is exactly, except to get publicity for himself. Because the

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Speaker 2: medical examiner said quote, based on the circumstances, it is

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Speaker 2: reasonable to conclude that Betsy passed away. First with February

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Speaker 2: eleventh being the last time that she was known to

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Speaker 2: be alive, which is true, that's the last time that

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Speaker 2: we heard from her. And they said multiple times that

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Speaker 2: this is and it's an estimate, like there's no internal

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Speaker 2: clock that people have that tell you exactly what time

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Speaker 2: and day they died. You're just doing it based upon

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Speaker 2: the investigation and based upon what you see at autopsy,

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Speaker 2: Like you could estimate based on like, Okay, these changes

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Speaker 2: wouldn't be seen in a couple of days, This might

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Speaker 2: take a couple of weeks, based on the environment and

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Speaker 2: things like that. But there's there's no one ever said

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Speaker 2: that there was a magic date that that was the

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Speaker 2: day that she definitely died. And this doctor is just

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Speaker 2: kind of a douchebag for even bringing that up, in

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Speaker 2: my opinion.

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Speaker 1: Well, unless you're on Yellowstone season five and there's no

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Speaker 1: witnesses or anything, remember I was telling you about that,

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Speaker 1: they were they're like, oh, he died at this exact time,

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Speaker 1: but there was no video footage, there's no witnesses, Like,

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Speaker 1: how do you know he died at that exact minute

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Speaker 1: from the autime?

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Speaker 2: See? And then the doctor, this doctor was also so

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Speaker 2: he first started off saying that She wasn't his patient.

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Speaker 2: She was referred by a friend to this doctor, so

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Speaker 2: he doesn't really know anything about her because he's never

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Speaker 2: really physically examined her. But he had to make sure

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Speaker 2: that he kept saying she didn't have any respiratory symptoms, like, Okay,

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Speaker 2: who cares, what does that have to do with anything?

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Speaker 2: I told you guys last week that or whenever this

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Speaker 2: information came out. That was last week that we went

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Speaker 2: over this, that the haunted virus, when you get the

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Speaker 2: infection and then when you start showing symptoms, it could

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Speaker 2: be anywhere from one week to five weeks after you're

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Speaker 2: exposed to it. But I told you that, you know,

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Speaker 2: the first three to six days of the virus, you

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Speaker 2: don't start showing any respiratory symptoms. So she could have

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Speaker 2: called because she just was feeling like it was just

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Speaker 2: coming on and she was feeling unwell, and so she

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Speaker 2: wouldn't have had any respiratory symptoms. And I don't know

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Speaker 2: if you remember me saying that once the cardio pulmonary

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Speaker 2: symptoms come on, then that's it could be very rapid

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Speaker 2: that your lung spill up with fluid and everything. So

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Speaker 2: that could have happened like we said, she went out

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Speaker 2: on that one day and then she wasn't heard from again,

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Speaker 2: and that's when that could have happened at her house,

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Speaker 2: and it could have just came on very quick, within

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Speaker 2: twenty four hours, maybe even faster, that she went from

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Speaker 2: feeling okay to dead. So what exactly is this doctor

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Speaker 2: trying to do except stir up drama and confusion that

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Speaker 2: doesn't need to be there.

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Speaker 1: Well, I agree with you, especially because he was saying

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Speaker 1: that she was supposed to come in later that So

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Speaker 1: the police are saying she died on February eleventh. The

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Speaker 1: doctor is saying she called on February twelve and that

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Speaker 1: she was supposed to come in later that afternoon and

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Speaker 1: never showed up. But she had called them that morning.

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Speaker 1: So what's it a difference of less than twenty four

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Speaker 1: hours that he's trying to clear up. It's not like

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Speaker 1: she called them a week later. That would be something

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Speaker 1: more substantiactly.

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Speaker 2: And also you're saying she didn't have any respiratory symptoms,

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Speaker 2: like you didn't examine her, you didn't listen to her test,

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Speaker 2: You do not know what was going on in her body,

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Speaker 2: and clearly she's dead, Okay. So she was pretty not

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Speaker 2: feeling well. I'll say that, right, we don't know exactly

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Speaker 2: what was going on, but don't try to put out

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Speaker 2: within the public by sight putting this out because you're

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Speaker 2: not proving anything. And in fact, the fact that you're

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Speaker 2: a doctor makes me just think that you sound like

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Speaker 2: an idiot, like you should know all this.

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Speaker 1: But did the police just come across this phone record

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Speaker 1: when they were doing their investigation, because there was no

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Speaker 1: mention of an outco and call from her, well, they were.

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Speaker 2: Still examining the cell phones, as do you remember they

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Speaker 2: said that they listen, I'm telling you right now, just

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Speaker 2: because I'm in this field and everything, I think that

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Speaker 2: they did a really good job just based on everything

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Speaker 2: that I know so far, and I'm just I'm just

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Speaker 2: kind of annoyed by this. They even said last week

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Speaker 2: when they gave out that she had haunt a virus

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Speaker 2: and he died from the Alzheimer's and the heart disease,

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Speaker 2: they said, the investigation's not closed. They're still looking into

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Speaker 2: the cell phones that were found in the house, and

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Speaker 2: they were still waiting for the dog. That results also

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Speaker 2: came back that that the dog starved to death and

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Speaker 2: was dehydrated, which we knew was going to have happened

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Speaker 2: as predicted, so so they could close that part of it.

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Speaker 2: But they're still looking at the cell phone records. But anyway,

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Speaker 2: it doesn't matter. Like like I said, that, you don't

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Speaker 2: just have haunt a virus in your system, and there

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Speaker 2: was other things seen at autopsy too that would have

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Speaker 2: concurred that. So I just think that this doctor just,

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Speaker 2: you know, all of a sudden, it's like his name's

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Speaker 2: in the news everywhere, and everybody's looking up his business

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Speaker 2: in his name. That's all that's about.

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Speaker 1: Well, it's not helping either with all the online saluits

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Speaker 1: that think there's this like grand conspiracy theory that there's

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Speaker 1: something more nefarious going on behind the scenes. It's pretty straightforward,

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Speaker 1: just like it's just it's not necessary information to have

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Speaker 1: out there. It's just a matter of a couple hours

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Speaker 1: of difference.

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Speaker 2: Yeah, so whatever, let's we don't need to talk about

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Speaker 2: this anymore. I got actually annoyed by that doctor. It

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Speaker 2: just pissed me off. Let's talk about this really scary

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Speaker 2: situation that happened with the YouTuber. Yeah, so in Japan,

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Speaker 2: this twenty two year old YouTuber was doing a live

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Speaker 2: stream and then all of a sudden, her viewers heard

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Speaker 2: some screaming before the feed cut off. So it turns

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Speaker 2: out that she had borrowed money from this guy a

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Speaker 2: couple of years ago, and she didn't pay him back,

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Speaker 2: and even though they had been in contact with the

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Speaker 2: police about the money and everything, they just never got

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Speaker 2: it situated. So then when she announced her live stream,

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Speaker 2: he drove I think over sixty miles where she was

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Speaker 2: doing the live stream and then was able to see

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Speaker 2: the landmarks in the back of the video, and so

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Speaker 2: he used that to track her down and then stab terror. Yeah,

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Speaker 2: that's really scary.

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Speaker 1: You know.

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Speaker 2: We I don't know if we've ever said this on

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Speaker 2: this program, but we've been like this as a social

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Speaker 2: media family that we've been on Instagram now since when

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Speaker 2: twenty and thirteen, a really long time. Yeah, we when

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Speaker 2: we go away, we never ever post pictures or say

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Speaker 2: anything about where we're going until we get back and

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Speaker 2: we're back home in our house from the trip. That's

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Speaker 2: just like, that's number one rule if you go on

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Speaker 2: social media a lot and people are following you, because

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Speaker 2: why would you ever let anybody know where you're at

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Speaker 2: in real time? That's just stupid unless you have, like

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Speaker 2: you know, if you're going to an event or something

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Speaker 2: in their security there. But why would you why would

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Speaker 2: you ever just be like, hey, I'm here right now.

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Speaker 2: You're just asking for trouble.

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Speaker 1: Well, you know, it happens so frequently other podcasts I

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Speaker 1: listened to, The women on those shows will be like, yeah,

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Speaker 1: my husband's going away this weekend, I'm going to be alone.

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Speaker 1: I'm like, why would you advertise that to the world?

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Speaker 1: Other women that I fall on, it's it's women in

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Speaker 1: particular that do this, and they're at the most risk.

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Speaker 1: I feel, not that men aren't, but I well.

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Speaker 2: They don't have a crazy husband stepfather like you do, right,

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Speaker 2: like he would freeze. He's the Yes, he's the one

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Speaker 2: the reason that we're like that because he's constantly thinking

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Speaker 2: about terrible things.

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Speaker 1: These women are always on their instagrams being like home

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Speaker 1: alone this weekend of like what are you doing, or

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Speaker 1: posting pictures of the front of their house, or just

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Speaker 1: showing too much personal information showing that they're going out

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Speaker 1: going so and so, so and so hanging out with whoever.

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Speaker 2: It's just not smart and for us, it's like it's

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Speaker 2: the same with the housewives. Honestly, like most people are

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Speaker 2: considered low risk because we're not doing anything that's like

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Speaker 2: really pissing people off, like political stuff or whatever. But

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Speaker 2: you know, you can find a lot of stuff already online,

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Speaker 2: so you don't want to invite and give more information

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Speaker 2: than you need to. Anyway, what was the content, Like,

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Speaker 2: what did they figure out if it was one of

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Speaker 2: her followers, Like what what was the relationship between the two.

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Speaker 2: So it said she had met this man in twenty

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Speaker 2: twenty one and she had convinced him to let her

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Speaker 2: borrow some money. So he said he led her two

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Speaker 2: million yen, which is equivalent to thirteen thy five hundred

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Speaker 2: US dollars, and that when she borrowed it, she never

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Speaker 2: returned it. So it seems like they had already been

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Speaker 2: working up with police and everything about the stolen money.

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Speaker 1: I guess you could consider the stolen money, So they

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Speaker 1: had already been working that out, and because she didn't

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Speaker 1: return it, it angered him. But where I'm confused is

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Speaker 1: he said he wasn't planning to kill her, But if

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Speaker 1: you're stabbing somebody, in my opinion, you're planning to kill them.

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Speaker 2: I mean, maybe I don't know maybe his intentions were

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Speaker 2: to scare her, but then she was you know, her

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Speaker 2: reaction maybe triggered him to do it. But it doesn't matter. Really.

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Speaker 2: If you bring a weapon to anywhere and you're pretty

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Speaker 2: a flight, yeah, to a confrontation or for anything, then

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Speaker 2: if you use it, it doesn't matter. I guess he's

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Speaker 2: trying to say, you know, you want to go premeditated

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Speaker 2: or not whatever. I don't know, but that's not gonna work, Bud.

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Speaker 1: Sorry, Yeah, I mean, I think the grander message of

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Speaker 1: this entire story is, like, be smart about it. When

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Speaker 1: you buy a house, you don't have to post the

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Speaker 1: picture of the front of your house on Instagram. And

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Speaker 1: you don't have to post a million pictures of your

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Speaker 1: children online and where they go to school and what

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Speaker 1: they're doing, and when your.

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Speaker 2: Husband's not home.

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Speaker 1: It's okay to keep some things to yourself.

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Speaker 2: It's not in this world, okay. So these tornadoes are insane.

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Speaker 2: I've been seeing videos of them all over the place,

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Speaker 2: and when we've drove cross country twice this year and

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Speaker 2: just driving out and seeing how flat it is and

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Speaker 2: nothing around, which is just so opposite of where we

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Speaker 2: live here. It's just to see to just imagine driving

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Speaker 2: down one of these roads and seeing a twister like

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Speaker 2: that would just I think I would just drop dead.

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Speaker 2: I don't know.

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Speaker 1: I mean, we all know, this is my biggest fear

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Speaker 1: of all time. This was It's quite a biblical event

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Speaker 1: that was going on throughout the country over the weekend.

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Speaker 1: There were I think Fox reported that over ninety tornadoes

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Speaker 1: broke out over the weekend.

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Speaker 2: Can you imagine this? No, but just seeing it, I mean,

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Speaker 2: we and we barely get storms like anywhere, We don't

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Speaker 2: ever get storms to that level. I think we've had

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Speaker 2: a couple, but it it's really scary to be in

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Speaker 2: your house when something's happening outside that you have absolutely

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Speaker 2: no control over. I would think in this area of

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Speaker 2: the country, since it happened so often, that most people

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Speaker 2: would either have at their house or have access to

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Speaker 2: some kind of storm shelters. And but I don't know.

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Speaker 2: I guess people don't because so many people died. Forty

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Speaker 2: two people died so far, at least that's a lot

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Speaker 2: of people. When you when you they were pretty much

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Speaker 2: posting all over the place. I don't know, if you

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Speaker 2: saw the map online that was rotating around, yeah, you

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Speaker 2: saw it right, Well, it's kind of a joke. So there,

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Speaker 2: I think I know the one you're talking. Okay, there

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Speaker 2: was explain it. Let me tell you guys if you

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Speaker 2: haven't seen it. So there was a map of this

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Speaker 2: whole area of the lower part of the country that

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Speaker 2: was I think it was kind of like New Orleans

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Speaker 2: was kind of in the middle of this, and it

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Speaker 2: went up into the Midwest. And it was one of

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Speaker 2: those maps that you know, they show the different colors

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Speaker 2: of probability of you being affected by this tornado, and

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Speaker 2: it just looked like the shape of a penis. And

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Speaker 2: and this map was going around and just kept saying

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Speaker 2: like hard winds are going to ram the country, you know,

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Speaker 2: like stuff like that. It just was it just was

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Speaker 2: really funny. So but yeah, they that was going around

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Speaker 2: all over online that warning there's going to be really

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Speaker 2: high chance of having tornadoes all over this part of

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Speaker 2: the country, and it certainly happened.

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Speaker 1: It's just so scary to think about. And there's this

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Speaker 1: crazy coincidence. So one hundred years ago today, March eighteenth,

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Speaker 1: nineteen twenty, there was this event that they called the

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Speaker 1: tri State Tornado. So this massive tornado went through Missouri,

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Speaker 1: Illinois and Indiana. It went for over four hours, It

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Speaker 1: spread across two hundred miles, and they killed nearly seven

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Speaker 1: hundred people. So that was the deadliest tornado in United

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Speaker 1: States history. I'm not sure if it's in world history,

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Speaker 1: but definitely in the United States. But I mean they

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Speaker 1: were kind of when they were talking about this situation,

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Speaker 1: they were discussing how hopefully it would never get to

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Speaker 1: this level again because of all the weather monitoring services

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Speaker 1: we have now and the ability to warn people with

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Speaker 1: cell phones and sirens and everything. But just think it

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Speaker 1: scary that was in nineteen twenty five, being in your house,

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Speaker 1: having absolutely no idea all the storm is coming, and

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Speaker 1: then it leveled out entire towns.

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Speaker 2: Yeah, I mean back then you would just hear stories

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Speaker 2: of family members that might have been older that experienced

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Speaker 2: that kind of stuff from by happening. And I'm sure

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Speaker 2: there were books documenting it as well. But you have

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Speaker 2: to think, like I could tell you, over the course

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Speaker 2: of just this year alone, between Gabe going and being

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Speaker 2: deployed to these hurricanes, Remember I was thinking about that.

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Speaker 2: Remember they there was one of the hurricanes that he

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Speaker 2: had went to, and that it could have been Helene,

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Speaker 2: which was terrible for but it wasn't. I don't think

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Speaker 2: it was super terrible for Florida as bad as it

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Speaker 2: was for North Carolina. But there was one of the tornado.

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Speaker 2: Didn't a hurricane occur around the same time too, There

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Speaker 2: were like back to back ones, but one of them

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Speaker 2: that they were just acting was going to be the

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Speaker 2: worst thing ever. And that guy that was the weather

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Speaker 2: castor in the news was crying saying it was going

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Speaker 2: to be so bad, and then it ended up that

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Speaker 2: was the one that was supposed to hit Tampa maybe

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Speaker 2: like whatever was the one that was directly before Helene, Okay,

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Speaker 2: the week before. So all I'm trying to say is

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Speaker 2: that a lot of times, and even this past weekend,

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Speaker 2: they were saying where we lived, that we were supposed

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Speaker 2: to get this tornado warnings and horrible thunderstorms and this

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Speaker 2: and that, and it's like, after a while, people just

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Speaker 2: stop listening. And that's the problem because boy who cried wolf? Yeah,

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Speaker 2: And I know that it's I mean, listen, I don't

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Speaker 2: predict weather for a living, and I'm sure it's difficult

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Speaker 2: because when they talk about all of this stuff, it's

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Speaker 2: it's crazy. And we're getting better and better but all

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Speaker 2: they're doing. You just have to remember is that all

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Speaker 2: they're doing is predicting it, and there's really no repercussions

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Speaker 2: if they're if they're wrong or they're right. But I

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Speaker 2: think that's probably what the thing is like. If you

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Speaker 2: live in that part of the country, you probably get

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Speaker 2: these warnings all the time, and just people are just like, well,

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Speaker 2: what are we just supposed to sit in a hole

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Speaker 2: in the ground that every single time we get one

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Speaker 2: of these, we get them for months on end every year.

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Speaker 1: Well, my best friends from Wisconsin, and he's saying that,

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Speaker 1: you know this, this is nothing over there, Like they

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Speaker 1: would just sit in there in their kitchen and act

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Speaker 1: like nothing was happening when there's a twister on the

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Speaker 1: ground not that far from their house, whereas I'm hiding

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Speaker 1: in a closet in my base it when one touches

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Speaker 1: down five miles away from my house.

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Speaker 2: I keep seeing these videos and I just think, like,

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Speaker 2: how are these people dis close to this thing with

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Speaker 2: their phone and not freaking out and just hiding somewhere.

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Speaker 2: I don't know.

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Speaker 1: Well, I guess it's really important to understand the differences

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Speaker 1: with the warnings. So I saw this really good graphic

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Speaker 1: last year. A tornado watch basically means there's the ingredients

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Speaker 1: to make a tornado, if you want to equate it

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Speaker 1: to a cake like this meme did, and then the

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Speaker 1: tornado warning means the cake has been made. And then

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Speaker 1: there's another there's another warning level called a tornado emergency,

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Speaker 1: which means a tornado has formed reporter on the ground

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Speaker 1: and it's a direct threat to human life. So they

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Speaker 1: need to be a little really, get in your base.

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Speaker 1: We're not, but they need to be.

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Speaker 2: They just need to use a little bit more because

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Speaker 2: this is where people get screwed up with the two

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Speaker 2: W words warning. What does the difference between a warning

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Speaker 2: and a watch? Like you know what I mean? Like

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Speaker 2: the average person doesn't sit there and see those charts

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Speaker 2: you're talking about. You get it across your phone with

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Speaker 2: an emergency message and you're like, wait, is that the

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Speaker 2: bad one or the good one? That's what everybody says.

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Speaker 2: So they just need to come up with new terminology

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Speaker 2: or something to just make it less confusing for people,

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Speaker 2: especially people who live in the Midwest obviously are probably

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Speaker 2: just way more in tune to this. But for us,

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Speaker 2: when we only get maybe one or two tornado warnings

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Speaker 2: a year. If that, it's like every single person's just like,

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Speaker 2: what does this mean? Exactly?

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Speaker 1: Yeah, exactly. I mean I feel like for us, like

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Speaker 1: I get so scared when they happen because they didn't

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Speaker 1: happen our entire life. I could recall too before the

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Speaker 1: last couple of years that I ever remembered in my

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Speaker 1: whole life.

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Speaker 2: Well, you're gonna have to adapt. It's we're in a

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Speaker 2: tornado zone now.

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Speaker 1: No, we are, remember too nothing, So Maries Maria goes

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Speaker 1: and hides in a cabby in her house.

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Speaker 2: Whenever they say there's gonna be severe weather. We keep

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Speaker 2: joking that we're gonna put like a TV in that

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Speaker 2: little room for her, and like a bean bag chair.

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Speaker 1: I just told Louis last night, I won a wallpaper

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Speaker 1: and put a cute little rug.

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Speaker 2: In there, and maybe a bean bag like Maria's personal

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Speaker 2: hurricane shelter. Yeah, but watch the house gets sucked right

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Speaker 2: up and you're in like this prime zone of just

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Speaker 2: getting sucked right up into it. Well, everybody makes fun

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Speaker 2: of me, but you guys don't have the warnings quite

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Speaker 2: like my neighborhood does. And once the couple we've had

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Speaker 2: in the last couple of years have touched down not

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Speaker 2: that far from my house, so it's not that far

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Speaker 2: fetched that I want to go in hiding about it.

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Speaker 2: But it's always when I'm home alone too that they

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Speaker 2: have and it is. There has never been a time

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Speaker 2: where I've been where Fricky's been home, where anybody's been

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Speaker 2: over here.

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Speaker 1: It's always wan I'm by myself. It's just like really

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Speaker 1: adds to it. Then my phone goes on SOS mode.

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Speaker 1: I'm like, this is really great.

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Speaker 2: So you need to get one of those red landline

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Speaker 2: telephones or or something like that that only works in emergencies.

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Speaker 2: I don't know, maybe you can.

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Speaker 1: Know where to find me if it happen in the house.

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Speaker 1: All right, what's going on with this?

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Speaker 2: Okay? So like let's talk about Saint Patrick's Day because

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Speaker 2: I just don't get it. I just don't. I don't

386
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Speaker 2: get it, like it can be, I don't care. But

387
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Speaker 2: I'm not really Irish, so I like, I'm not. Is

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Speaker 2: that why I don't get it? I don't know.

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Speaker 1: First of all, genetically you are Irish. I love Irish, I.

390
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Speaker 2: Said, I'm not really because I'm barely listen. I loved it.

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Speaker 2: So yesterday obviously, Saint Patrick's Day is a reason for celebration,

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Speaker 2: like an actual reason, because it's my daughter's birthday. Right,

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Speaker 2: So my dad came over, everybody came over last night.

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Speaker 2: We had dinner and cake and everything, and I was

395
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Speaker 2: so I was like cleaning the dishes in the other room.

396
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Speaker 2: But I overheard him say it, and I was so

397
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Speaker 2: happy to hear him ask Ricky, what exactly are you celebrating?

398
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Speaker 2: I never understood that my whole life. What are you celebrating?

399
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Speaker 2: And I was like, thank you, Like this guy gets it.

400
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Speaker 2: I been saying, like, what's the It's an excuse, it's

401
00:20:03,840 --> 00:20:06,480
Speaker 2: not a celebration. It's an excuse to go out and

402
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Speaker 2: get drunk. What are you celebrating?

403
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Speaker 1: You can't argue that about fourth of July? Do you

404
00:20:10,560 --> 00:20:14,920
Speaker 1: think people are really you're celebrating the birth of America

405
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Speaker 1: on that day? People there really are not celebrate America.

406
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Speaker 2: Listen, at least you could say that they are, like

407
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Speaker 2: there's an actual that's the reason that we're having that holiday,

408
00:20:25,680 --> 00:20:28,640
Speaker 2: Like what is the cell? What is Saint Patrick's Day?

409
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Speaker 2: And what is the celebration about?

410
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Speaker 1: This is a major glimpse into your of fun suckerness.

411
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Speaker 1: Because you're you don't you don't engage in normal young

412
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Speaker 1: people activities. Just let people go out and have fun.

413
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Speaker 2: If they want to say they can't, people could do

414
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Speaker 2: whatever they want. I just I just want an explanation.

415
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Speaker 1: So just sound like such a Karen about it. Just like,

416
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Speaker 1: if people want to go out every reason to celebrate,

417
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Speaker 1: let them listen.

418
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Speaker 2: I brought my kids and one of their friends to

419
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Speaker 2: the city this weekend, and I don't even understand how

420
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Speaker 2: I possibly ended up like right in the smack in

421
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Speaker 2: the middle of both of the old Irish bars.

422
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Speaker 1: Because Philadelphia is an enormous place to celebrate.

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Speaker 2: Well, like everybody's walking around drunk in the middle of

424
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Speaker 2: the day wearing green I just like, Okay, if it's fun,

425
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Speaker 2: that's fine. I just I just don't get it. So

426
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Speaker 2: let's talk about what happened to these college students on

427
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Speaker 2: Saint Patrick's Day.

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Speaker 1: Well, at University of Pittsburgh, a bunch of college kids

429
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Speaker 1: were celebrating the holiday. Obviously, everybody's drinking. At some point

430
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Speaker 1: during this party, thirty people pile onto the roof of

431
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Speaker 1: this front porch and then it suddenly collapses obviously due

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Speaker 1: to the weight on it, and one of the most

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Speaker 1: concerning parts of this for me is the girl that

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Speaker 1: took the video of the roof collapsing is saying, well,

435
00:21:38,400 --> 00:21:40,840
Speaker 1: everybody did it last year and there wasn't a problem.

436
00:21:42,040 --> 00:21:47,040
Speaker 2: What so exactly so, and guess what, they're all wearing

437
00:21:47,040 --> 00:21:51,399
Speaker 2: green T shirts. Surprise. This is exactly why. This is

438
00:21:51,480 --> 00:21:54,000
Speaker 2: one of a few stories that I just this is

439
00:21:54,000 --> 00:21:56,000
Speaker 2: why I don't want my kids to go away to college.

440
00:21:56,040 --> 00:21:58,320
Speaker 2: Their brains are just not developed yet. When you see

441
00:21:58,359 --> 00:22:00,480
Speaker 2: this house, so it's a house, it's just like a

442
00:22:00,520 --> 00:22:03,280
Speaker 2: regular house, an older house. And they're standing on a

443
00:22:03,320 --> 00:22:06,800
Speaker 2: porch roof. It's not it's not that it was a

444
00:22:06,840 --> 00:22:10,119
Speaker 2: specific deck that was made on a second floor for

445
00:22:10,240 --> 00:22:12,919
Speaker 2: people to stand on. They're standing on the roof of

446
00:22:12,960 --> 00:22:15,360
Speaker 2: a porch. The roof of a porch is put on

447
00:22:15,440 --> 00:22:17,440
Speaker 2: so you don't get wet in the rain. There's no

448
00:22:17,520 --> 00:22:21,720
Speaker 2: structural integrity to that to hold it up, to hold

449
00:22:21,760 --> 00:22:25,520
Speaker 2: any weight beside shingles and maybe snow. Like, it's not

450
00:22:25,640 --> 00:22:28,960
Speaker 2: made for thirty human beings that weigh over one hundred

451
00:22:28,960 --> 00:22:32,280
Speaker 2: pounds to be standing on. That's that's outrageous to me.

452
00:22:32,640 --> 00:22:34,879
Speaker 1: No, And like, I'm not even really concerned about the

453
00:22:34,920 --> 00:22:37,560
Speaker 1: people who are on the roof getting her. I'm concerned

454
00:22:37,560 --> 00:22:39,840
Speaker 1: about the people who are underneath of it and under.

455
00:22:40,920 --> 00:22:43,480
Speaker 2: Like, what's happening? Is it because they're all drunk? It

456
00:22:43,520 --> 00:22:44,240
Speaker 2: has to be right?

457
00:22:44,720 --> 00:22:48,000
Speaker 1: No, I think people are just like really dumb anymore.

458
00:22:48,080 --> 00:22:50,720
Speaker 1: I from being honest because we have stories a lot

459
00:22:50,720 --> 00:22:53,080
Speaker 1: of times like this where people are completely sober and

460
00:22:53,119 --> 00:22:54,280
Speaker 1: doing dumb shit like this.

461
00:22:54,680 --> 00:22:56,880
Speaker 2: Well, it's just a bad combination. And this is why

462
00:22:56,920 --> 00:22:59,040
Speaker 2: I'm anti sending my kids away to college. So it's

463
00:22:59,080 --> 00:23:03,600
Speaker 2: like alcohol just makes you dumb, and then the brains

464
00:23:03,640 --> 00:23:07,040
Speaker 2: aren't formed altogether. It's just a big and then people

465
00:23:07,080 --> 00:23:09,120
Speaker 2: are just dumb, and then add weed into it. There's

466
00:23:09,160 --> 00:23:11,359
Speaker 2: just a lot of dumbness going on. So like, I

467
00:23:11,359 --> 00:23:13,159
Speaker 2: don't want my kids to go away and be in

468
00:23:13,240 --> 00:23:17,760
Speaker 2: situations like that, because it's alarming that one person would

469
00:23:17,800 --> 00:23:20,600
Speaker 2: do it, let alone thirty and how many were standing

470
00:23:20,720 --> 00:23:23,879
Speaker 2: underneath of it. It's just like all of those brains

471
00:23:23,920 --> 00:23:26,119
Speaker 2: together still couldn't have figured out that that was a

472
00:23:26,160 --> 00:23:26,720
Speaker 2: bad idea.

473
00:23:27,160 --> 00:23:29,560
Speaker 1: The worst part for me is the university had to

474
00:23:29,560 --> 00:23:32,480
Speaker 1: send out a memo telling the students not to stand

475
00:23:32,520 --> 00:23:35,320
Speaker 1: on a roof, and I'm like, are we seriously at

476
00:23:35,320 --> 00:23:38,800
Speaker 1: this point where we're telling these people that are legally

477
00:23:38,840 --> 00:23:42,239
Speaker 1: adults not to stand on a roof, I don't know.

478
00:23:50,359 --> 00:23:52,440
Speaker 1: This episode is brought to you by the Grossroom.

479
00:23:52,920 --> 00:23:55,280
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480
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481
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482
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483
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493
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498
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Speaker 1: All right.

499
00:25:01,520 --> 00:25:04,240
Speaker 2: So, yeah, we have this other story at a University

500
00:25:04,280 --> 00:25:07,520
Speaker 2: of Pittsburgh. Again. This is what makes me just not

501
00:25:07,640 --> 00:25:11,720
Speaker 2: want to send my kids away to college. And I

502
00:25:11,880 --> 00:25:14,800
Speaker 2: just like, I'm not into the trips with the young

503
00:25:14,960 --> 00:25:17,359
Speaker 2: kids all together, and the drinking. It's really like the

504
00:25:17,480 --> 00:25:20,879
Speaker 2: drinking is makes things worse in my opinion. So why

505
00:25:20,880 --> 00:25:22,080
Speaker 2: don't we talk about this one?

506
00:25:22,320 --> 00:25:27,280
Speaker 1: Yeah, please forgive my pronunciation of this girl's name, Sudishka Kunanki.

507
00:25:27,359 --> 00:25:30,440
Speaker 1: She's twenty years old. She's a junior at University of Pittsburgh.

508
00:25:30,480 --> 00:25:33,239
Speaker 1: So she went to Puna Kana on spring break with

509
00:25:33,280 --> 00:25:35,720
Speaker 1: some of her friends and on March sixth, her friend

510
00:25:35,800 --> 00:25:37,880
Speaker 1: said they all went to the beach together and then

511
00:25:37,920 --> 00:25:40,640
Speaker 1: she stayed behind with some people she met on the trip. Well,

512
00:25:40,640 --> 00:25:42,200
Speaker 1: that's the last time they've seen her.

513
00:25:44,000 --> 00:25:46,760
Speaker 2: I feel tired. As soon as I heard about this,

514
00:25:46,880 --> 00:25:51,200
Speaker 2: I was like, I'm getting Natalie Holloway vibes exactly now,

515
00:25:51,760 --> 00:25:54,720
Speaker 2: is it? So? So, of course there's a guy involved.

516
00:25:55,400 --> 00:25:56,280
Speaker 2: Well the story.

517
00:25:56,920 --> 00:25:58,879
Speaker 1: You know, at first, when you hear of a girl

518
00:25:58,920 --> 00:26:00,960
Speaker 1: on a trip with their friend, of course you think

519
00:26:01,000 --> 00:26:05,159
Speaker 1: of Natalie Holloway. But there's so many eerily similar details

520
00:26:05,200 --> 00:26:08,560
Speaker 1: between the two cases. So yeah, there's this guy involved

521
00:26:08,640 --> 00:26:12,399
Speaker 1: named Joshua, so police have been questioning him. He's allegedly

522
00:26:12,440 --> 00:26:15,639
Speaker 1: the last person that's seen her alive. So he was

523
00:26:15,680 --> 00:26:18,920
Speaker 1: saying they were in waste deep water, talking and kissing

524
00:26:19,000 --> 00:26:20,919
Speaker 1: a little when a big wave came in and swept

525
00:26:20,920 --> 00:26:23,440
Speaker 1: them away. The hotel is saying that there were red

526
00:26:23,480 --> 00:26:25,960
Speaker 1: flags out that day indicating that there was really strong

527
00:26:26,000 --> 00:26:29,399
Speaker 1: current and high waves. So I guess he's claiming that

528
00:26:29,880 --> 00:26:31,800
Speaker 1: they were swept away in this wave, but he was

529
00:26:31,800 --> 00:26:33,600
Speaker 1: able to get her back to shore and then he

530
00:26:33,640 --> 00:26:35,600
Speaker 1: turned around, and then when he turned back to ask

531
00:26:35,640 --> 00:26:37,920
Speaker 1: her if she was okay, she wasn't there anymore. So

532
00:26:38,040 --> 00:26:40,680
Speaker 1: he's he thinks that she's just walked up and left.

533
00:26:40,920 --> 00:26:43,160
Speaker 1: But I'm like, dude, you're on a beach. You would

534
00:26:43,160 --> 00:26:46,760
Speaker 1: see somebody for half a mile if they were walking away.

535
00:26:47,440 --> 00:26:50,560
Speaker 2: Were they So that I guess my first question is

536
00:26:51,680 --> 00:26:54,160
Speaker 2: did he come forth? Because I know they found him

537
00:26:54,200 --> 00:26:56,879
Speaker 2: on surveillance videos, So is that how they found him

538
00:26:56,960 --> 00:26:59,159
Speaker 2: or he came forth and was like she I was

539
00:26:59,160 --> 00:27:01,240
Speaker 2: with her that night. I'm just curious.

540
00:27:01,600 --> 00:27:05,520
Speaker 1: I'm exactly sure that detail what I think is really

541
00:27:05,560 --> 00:27:08,160
Speaker 1: interesting about this case is the police are saying there's

542
00:27:08,200 --> 00:27:11,080
Speaker 1: no suspects and they're treating it as a missing persons

543
00:27:11,200 --> 00:27:15,399
Speaker 1: and not necessarily as a homicide. But why did they

544
00:27:15,480 --> 00:27:17,679
Speaker 1: take his passport away from him? And why are they

545
00:27:17,680 --> 00:27:21,520
Speaker 1: having police escort him everywhere he goes? So he's an

546
00:27:21,520 --> 00:27:25,119
Speaker 1: American too, Yeah, so he's a student at University of Minnesota.

547
00:27:25,160 --> 00:27:26,639
Speaker 1: He's twenty two years old.

548
00:27:26,920 --> 00:27:31,239
Speaker 2: So he so did they find him in Minnesota or

549
00:27:31,320 --> 00:27:35,120
Speaker 2: was he still on the trip? When he's still there,

550
00:27:35,160 --> 00:27:37,119
Speaker 2: I don't even think he's allowed to leave the country

551
00:27:37,200 --> 00:27:39,520
Speaker 2: rangew Okay, So well, I mean, I guess they're keeping

552
00:27:39,600 --> 00:27:42,880
Speaker 2: him there because he's the only person. So I guess

553
00:27:42,600 --> 00:27:46,280
Speaker 2: that the theory could be correct because if they're saying

554
00:27:46,280 --> 00:27:48,320
Speaker 2: that you shouldn't have been out in the water, and

555
00:27:48,359 --> 00:27:50,440
Speaker 2: they were out in the water, which is possible because

556
00:27:50,440 --> 00:27:53,880
Speaker 2: people just ignore those signs. I guess what I'm having

557
00:27:53,920 --> 00:27:57,159
Speaker 2: a hard time with is didn't they find her clothes

558
00:27:57,200 --> 00:27:58,159
Speaker 2: on the beach or something?

559
00:27:59,000 --> 00:28:01,040
Speaker 1: I did read that they found underclothes on the beach.

560
00:28:01,119 --> 00:28:04,359
Speaker 1: And I'm definitely not saying he did it. I just

561
00:28:04,400 --> 00:28:08,439
Speaker 1: think his account of what happened is kind of weird,

562
00:28:08,680 --> 00:28:10,920
Speaker 1: and maybe he was drinking and he doesn't have good

563
00:28:10,960 --> 00:28:13,119
Speaker 1: memory of it or something because it was in the

564
00:28:13,119 --> 00:28:14,399
Speaker 1: middle of the night. I think they said it was

565
00:28:14,440 --> 00:28:15,760
Speaker 1: around four o'clock in the morning.

566
00:28:16,600 --> 00:28:20,399
Speaker 2: It's just it's just odd that unless he was completely

567
00:28:20,720 --> 00:28:25,320
Speaker 2: wasted and just wasn't paying attention to really what was happening.

568
00:28:25,400 --> 00:28:29,240
Speaker 2: Just think in general, like, I mean, whatever they were doing,

569
00:28:29,280 --> 00:28:32,600
Speaker 2: they were on a date, right, So if you're just

570
00:28:32,640 --> 00:28:34,760
Speaker 2: on a date for a couple hours and then all

571
00:28:34,800 --> 00:28:37,000
Speaker 2: of a sudden your date is just like gone, it's

572
00:28:37,040 --> 00:28:37,879
Speaker 2: just a little weird.

573
00:28:38,120 --> 00:28:39,520
Speaker 1: I don't think they were on a date. I think

574
00:28:39,560 --> 00:28:41,320
Speaker 1: they were hanging out and then they just started hooking

575
00:28:41,360 --> 00:28:42,520
Speaker 1: up when everybody lived.

576
00:28:42,600 --> 00:28:45,160
Speaker 2: But still it's a date they were I mean, like,

577
00:28:45,480 --> 00:28:47,520
Speaker 2: people don't just like leave in the middle of a

578
00:28:47,560 --> 00:28:49,200
Speaker 2: hangout session. It's just odd.

579
00:28:50,320 --> 00:28:54,760
Speaker 1: So sure, I don't agree with that, but it's yours.

580
00:28:55,280 --> 00:28:57,280
Speaker 2: Just like make out with a guy in the ocean

581
00:28:57,320 --> 00:28:59,160
Speaker 2: and go back to the beach and turn around, Oh,

582
00:28:59,200 --> 00:29:01,480
Speaker 2: I guess, I guess we're here Like that. That's weird.

583
00:29:02,360 --> 00:29:06,280
Speaker 2: I'm not saying it's like, hey, I'm leaving now, like it.

584
00:29:06,640 --> 00:29:08,560
Speaker 2: You don't just hang up on someone on the phone

585
00:29:08,640 --> 00:29:10,520
Speaker 2: in the middle of the conversation. It's kind of like.

586
00:29:10,480 --> 00:29:13,640
Speaker 1: That, Sure, if that's what you want to think. Sure,

587
00:29:13,680 --> 00:29:16,080
Speaker 1: but young people definitely do make out at parties and

588
00:29:16,080 --> 00:29:18,240
Speaker 1: stuff and just get up and walk away. I think

589
00:29:18,280 --> 00:29:20,600
Speaker 1: that the added element of them being in the ocean

590
00:29:20,640 --> 00:29:24,320
Speaker 1: and then being swept up is interesting that, you know,

591
00:29:25,520 --> 00:29:27,880
Speaker 1: he's saying that they were like, you know, taken down

592
00:29:27,920 --> 00:29:30,040
Speaker 1: by this wave, and then he said he got her

593
00:29:30,080 --> 00:29:31,600
Speaker 1: back to shore and then all of a sudden she

594
00:29:31,680 --> 00:29:34,400
Speaker 1: wasn't there. But I don't know how quickly this goes down.

595
00:29:34,440 --> 00:29:37,040
Speaker 1: Maybe another wave came in and swept her away really quick.

596
00:29:37,280 --> 00:29:37,720
Speaker 1: Maybe not.

597
00:29:37,960 --> 00:29:38,680
Speaker 2: I don't really know.

598
00:29:38,840 --> 00:29:41,080
Speaker 1: But this is why this is so similar to the

599
00:29:41,160 --> 00:29:42,680
Speaker 1: Natalie Halloway case.

600
00:29:42,680 --> 00:29:44,920
Speaker 2: Because did it You're on vander Sleuth. The guy that

601
00:29:45,120 --> 00:29:47,840
Speaker 2: was he is like accused of being killer.

602
00:29:48,520 --> 00:29:52,000
Speaker 1: By the way, was he ever formally convicted of killing her,

603
00:29:52,120 --> 00:29:54,719
Speaker 1: because remember they kept arresting him and then they couldn't

604
00:29:54,760 --> 00:29:57,120
Speaker 1: prove he did it, and then he killed another person later.

605
00:29:57,720 --> 00:30:00,480
Speaker 2: He's definitely in trouble. That was the first time I

606
00:30:00,520 --> 00:30:02,960
Speaker 2: think he ever got arrested. Is when he is when

607
00:30:03,000 --> 00:30:06,719
Speaker 2: he or like be not arrested but put in prison

608
00:30:06,880 --> 00:30:09,720
Speaker 2: for killing the other girl. Yeah, I'm not. I honestly

609
00:30:09,800 --> 00:30:14,240
Speaker 2: don't know, but I guess. So this is what's odd

610
00:30:14,600 --> 00:30:17,520
Speaker 2: I guess about this case. So now her parents maybe

611
00:30:17,560 --> 00:30:20,280
Speaker 2: it's not odd because I'm sure it's for burial or

612
00:30:20,320 --> 00:30:25,800
Speaker 2: religious purposes or whatever. But her parents are asking the

613
00:30:25,840 --> 00:30:30,040
Speaker 2: Dominican if they could declare her dead, and I think,

614
00:30:30,160 --> 00:30:32,800
Speaker 2: and I'm kind of like, well, like why, like why

615
00:30:33,120 --> 00:30:35,920
Speaker 2: unless it's unless it's, like I said, for religious or

616
00:30:35,960 --> 00:30:37,040
Speaker 2: burial purposes.

617
00:30:37,480 --> 00:30:40,440
Speaker 1: All I could think is that information that we don't

618
00:30:40,440 --> 00:30:42,520
Speaker 1: have is the public right now, is that they really

619
00:30:42,560 --> 00:30:47,280
Speaker 1: believe she accidentally was swept up in the water and died.

620
00:30:48,160 --> 00:30:49,960
Speaker 1: I mean, I was hearing I think it's I think

621
00:30:49,960 --> 00:30:52,560
Speaker 1: it's it's it's too early.

622
00:30:52,840 --> 00:30:54,600
Speaker 2: Hasn't it only been like ten days?

623
00:30:54,840 --> 00:30:57,800
Speaker 1: It's been twelve days since she went missing. Also, I

624
00:30:57,880 --> 00:31:01,480
Speaker 1: was hearing interviews with people that know the Joshua kid,

625
00:31:01,480 --> 00:31:04,360
Speaker 1: and they all, by all accounts, it seems like he's

626
00:31:04,480 --> 00:31:07,760
Speaker 1: a pretty good kid that's never been in trouble.

627
00:31:08,040 --> 00:31:09,880
Speaker 2: I mean, I'm sure if he was the guy like

628
00:31:09,920 --> 00:31:12,640
Speaker 2: a couple of weeks ago that ate his brother's eyeballs,

629
00:31:12,680 --> 00:31:15,920
Speaker 2: like what that doesn't I don't saying anything. I'm saying.

630
00:31:15,960 --> 00:31:18,160
Speaker 1: More information could come out, but I don't want to

631
00:31:18,240 --> 00:31:20,520
Speaker 1: just assume he's guilty because he happened to be the

632
00:31:20,600 --> 00:31:22,320
Speaker 1: last person with her. I mean, they were in the

633
00:31:22,360 --> 00:31:25,280
Speaker 1: ocean and the waters were rough. It's completely possible that

634
00:31:25,360 --> 00:31:27,840
Speaker 1: his drunk curR and swept her away. I think his

635
00:31:28,200 --> 00:31:30,760
Speaker 1: story of it is unusual, but it was the middle

636
00:31:30,760 --> 00:31:31,160
Speaker 1: of the night.

637
00:31:31,200 --> 00:31:32,200
Speaker 2: He could have been drinking.

638
00:31:32,880 --> 00:31:35,440
Speaker 1: You don't know. I do think it's strange, But I

639
00:31:35,480 --> 00:31:38,040
Speaker 1: also could understand if you're a grieving parent and there's

640
00:31:38,240 --> 00:31:40,840
Speaker 1: a large possibility your daughter's not going to be found,

641
00:31:41,440 --> 00:31:44,000
Speaker 1: Like why keep reliving through it every single day? Like

642
00:31:44,600 --> 00:31:46,320
Speaker 1: some people just have to do it to move on.

643
00:31:47,640 --> 00:31:50,239
Speaker 1: But it's a little it's I don't know, it's just

644
00:31:50,320 --> 00:31:55,480
Speaker 1: it's just a little unusual to me, Like why listen,

645
00:31:55,600 --> 00:31:59,480
Speaker 1: she's dead. If she comes up alive, I would be shocked, honestly.

646
00:31:59,600 --> 00:32:01,720
Speaker 1: But weirder things have happened.

647
00:32:01,720 --> 00:32:07,160
Speaker 2: Like this next case, Yes exactly, Like Okay, this shit

648
00:32:07,240 --> 00:32:09,000
Speaker 2: is outrageous, So let's.

649
00:32:08,800 --> 00:32:12,480
Speaker 1: Start getting into this one. So in Connecticut, emergency workers

650
00:32:12,520 --> 00:32:15,000
Speaker 1: get a call about a fire at a residential home.

651
00:32:15,160 --> 00:32:17,120
Speaker 1: So they get there and they find this fifty six

652
00:32:17,160 --> 00:32:19,800
Speaker 1: year old woman. She's I guess the homeowner. She has

653
00:32:19,840 --> 00:32:22,240
Speaker 1: gotten to safety, but they find out that her thirty

654
00:32:22,240 --> 00:32:24,719
Speaker 1: two year old stepson is trapped in the house. So

655
00:32:24,920 --> 00:32:26,640
Speaker 1: they go in the house and they get him out,

656
00:32:26,640 --> 00:32:29,320
Speaker 1: and then he confessed that he set the fire himself

657
00:32:29,440 --> 00:32:33,400
Speaker 1: using computer paper, hand sanitizer, and a lighter because he

658
00:32:33,440 --> 00:32:36,720
Speaker 1: had been held captive in his bedroom for over twenty years.

659
00:32:37,880 --> 00:32:40,440
Speaker 2: I just can't even believe that this is true. Now

660
00:32:40,840 --> 00:32:44,240
Speaker 2: her defense attorney is like, no, you have this all wrong.

661
00:32:44,520 --> 00:32:47,080
Speaker 2: This is she's innocent, and it's just like, yeah, dude,

662
00:32:47,240 --> 00:32:51,680
Speaker 2: this guy was five foot nine and seventy pounds, a

663
00:32:51,800 --> 00:32:56,240
Speaker 2: grown man who's been abused by his wicked stepmother since

664
00:32:56,280 --> 00:33:00,320
Speaker 2: he was starting in fourth grade, it accounts, and he's

665
00:33:00,360 --> 00:33:03,239
Speaker 2: talking to police and telling them everything that he was,

666
00:33:04,000 --> 00:33:06,320
Speaker 2: which is this is interesting that he went to school

667
00:33:06,360 --> 00:33:08,240
Speaker 2: and he was asking people for food and then he

668
00:33:08,280 --> 00:33:10,480
Speaker 2: started stealing it and picking it out of the trash,

669
00:33:10,520 --> 00:33:13,120
Speaker 2: and then she found the rappers, and then she would

670
00:33:13,120 --> 00:33:16,200
Speaker 2: do more punishment on him and stuff, and it got

671
00:33:16,520 --> 00:33:20,160
Speaker 2: to the point where they she disenrolled him from school,

672
00:33:20,640 --> 00:33:23,400
Speaker 2: and then the Division of or the Department of Children

673
00:33:23,440 --> 00:33:26,080
Speaker 2: and Families actually went to the house to see where

674
00:33:26,120 --> 00:33:28,760
Speaker 2: he was, because I mean, I guess that's the benefit

675
00:33:28,800 --> 00:33:30,840
Speaker 2: of when children are in public school because they have

676
00:33:30,920 --> 00:33:34,120
Speaker 2: to be accounted for at that point. So the state's

677
00:33:34,200 --> 00:33:36,000
Speaker 2: just like, what's going on with this kid. You can't

678
00:33:36,040 --> 00:33:37,480
Speaker 2: just take a kid out of school in the middle

679
00:33:37,520 --> 00:33:40,120
Speaker 2: of fourth grade unless you're homeschooling them and you have

680
00:33:40,240 --> 00:33:44,440
Speaker 2: documentation of that. So they go and investigate, and they

681
00:33:44,440 --> 00:33:48,000
Speaker 2: were called apparently a couple times, and then finally the

682
00:33:48,160 --> 00:33:51,760
Speaker 2: stepmom was filed a harassment complaint saying that they had

683
00:33:51,800 --> 00:33:55,280
Speaker 2: no reason to be going there. And at that point

684
00:33:55,320 --> 00:33:57,640
Speaker 2: he kind of fell out of the system and just

685
00:33:57,760 --> 00:34:01,240
Speaker 2: nobody went back and checked every again again. I mean,

686
00:34:01,600 --> 00:34:02,840
Speaker 2: that's so concerning.

687
00:34:03,320 --> 00:34:05,800
Speaker 1: I see this as a total failure of the system

688
00:34:05,920 --> 00:34:09,120
Speaker 1: because you know, there was many people, in my opinion,

689
00:34:09,280 --> 00:34:11,960
Speaker 1: reading this privy to what was going on. They said

690
00:34:11,960 --> 00:34:14,040
Speaker 1: there was an uncle that was staying at the house

691
00:34:14,080 --> 00:34:17,080
Speaker 1: and he eventually they told him he couldn't stay there anymore.

692
00:34:17,120 --> 00:34:19,920
Speaker 1: So you have to think another adult knows about this.

693
00:34:20,440 --> 00:34:23,080
Speaker 1: What was his father doing about this. His father didn't

694
00:34:23,120 --> 00:34:26,160
Speaker 1: even die until last January, so this has been going

695
00:34:26,200 --> 00:34:29,200
Speaker 1: on for twenty years and the father was just letting

696
00:34:29,239 --> 00:34:29,840
Speaker 1: this happen.

697
00:34:30,800 --> 00:34:33,439
Speaker 2: Yeah. And the weird thing is, though, is that at

698
00:34:33,480 --> 00:34:37,239
Speaker 2: some point someone had called an investigator, because even that

699
00:34:37,400 --> 00:34:40,399
Speaker 2: uncle that was staying there was just like, we've been

700
00:34:40,440 --> 00:34:43,080
Speaker 2: asking about the kid. Then they said that they they

701
00:34:43,120 --> 00:34:44,919
Speaker 2: had said they hadn't seen him in years. I guess

702
00:34:44,920 --> 00:34:47,520
Speaker 2: they were implying that he ran away or something. And

703
00:34:47,520 --> 00:34:49,840
Speaker 2: the uncle was trying to talk to an investigator, and

704
00:34:49,880 --> 00:34:52,839
Speaker 2: the investigator suggested, maybe you should try to see if

705
00:34:52,840 --> 00:34:55,200
Speaker 2: you could find a death certificate for the kid. Maybe

706
00:34:55,200 --> 00:34:59,080
Speaker 2: he ran away and he died or something. And I mean,

707
00:34:59,239 --> 00:35:01,879
Speaker 2: like that guy was staying there though, and I'm not

708
00:35:01,960 --> 00:35:04,560
Speaker 2: sure he didn't seem like he knew that the kid

709
00:35:04,600 --> 00:35:08,280
Speaker 2: was there. That's that's what I'm saying, Like, I don't

710
00:35:08,360 --> 00:35:11,640
Speaker 2: he he did bring up that I haven't seen the kid,

711
00:35:11,680 --> 00:35:15,680
Speaker 2: and something's weird here. So, and the kid was locked

712
00:35:16,120 --> 00:35:18,200
Speaker 2: the kid, he's thirty two years old. He was locked

713
00:35:18,280 --> 00:35:22,480
Speaker 2: in a room and given two sandwiches a day. I mean,

714
00:35:22,520 --> 00:35:25,560
Speaker 2: he was he was locked away. So there is a possibility,

715
00:35:25,600 --> 00:35:28,480
Speaker 2: I guess that a person could be living in a

716
00:35:28,560 --> 00:35:30,759
Speaker 2: house and nobody would know that the person was there.

717
00:35:31,880 --> 00:35:34,359
Speaker 1: Yeah, I mean, I guess we just don't really know

718
00:35:34,480 --> 00:35:37,080
Speaker 1: the layout of the house and where people were allowing

719
00:35:37,120 --> 00:35:39,200
Speaker 1: them to go, because if you think about it, most

720
00:35:39,239 --> 00:35:42,640
Speaker 1: of the time, like I mean, I my house isn't

721
00:35:42,640 --> 00:35:44,520
Speaker 1: set up like this. But if you were to have

722
00:35:44,520 --> 00:35:47,319
Speaker 1: people over your house for Christmas, for example, like you're

723
00:35:47,320 --> 00:35:50,160
Speaker 1: not gonna like have people go upstairs like your house

724
00:35:50,160 --> 00:35:53,760
Speaker 1: guests go upstairs, right, So like if people are visiting

725
00:35:53,840 --> 00:35:55,840
Speaker 1: the home, they're not going in every single room of

726
00:35:55,880 --> 00:35:58,319
Speaker 1: your home anyway, so they might just not know what's

727
00:35:58,360 --> 00:36:00,600
Speaker 1: going on in more private area of the house, like

728
00:36:00,640 --> 00:36:03,960
Speaker 1: the betroom areas. But I just think this is really

729
00:36:04,000 --> 00:36:07,400
Speaker 1: concerning because they're saying that there was two half sisters

730
00:36:07,440 --> 00:36:10,080
Speaker 1: living at the house, so there's other children living there too,

731
00:36:10,160 --> 00:36:12,239
Speaker 1: but their friends were never allowed to come over in

732
00:36:12,280 --> 00:36:15,319
Speaker 1: case of this being discovered. And then the kid had

733
00:36:15,360 --> 00:36:16,960
Speaker 1: a window in his room, but he was scared to

734
00:36:17,000 --> 00:36:20,160
Speaker 1: death to open it because he didn't one further retaliation,

735
00:36:20,560 --> 00:36:22,680
Speaker 1: And then the older he got, the more severe the

736
00:36:22,680 --> 00:36:25,279
Speaker 1: punishment got and the locks got. At first, they were

737
00:36:25,360 --> 00:36:27,080
Speaker 1: letting him go out of the house a couple hours

738
00:36:27,120 --> 00:36:29,200
Speaker 1: a day to do chores, and then by the time

739
00:36:29,200 --> 00:36:31,160
Speaker 1: he was fourteen fifteen, he was only allowed to go

740
00:36:31,200 --> 00:36:33,360
Speaker 1: out for fifteen minutes at a time, and then I

741
00:36:33,360 --> 00:36:35,640
Speaker 1: guess at some point he was never allowed to go out.

742
00:36:36,480 --> 00:36:39,439
Speaker 2: So I just don't know how this woman possibly thinks

743
00:36:39,440 --> 00:36:42,320
Speaker 2: she's getting away with this just based on his appearance alone.

744
00:36:42,360 --> 00:36:45,600
Speaker 2: Like I said, he was five nine and seventy pounds.

745
00:36:45,600 --> 00:36:50,040
Speaker 2: I mean, that's that's he was near death's store at

746
00:36:50,080 --> 00:36:53,160
Speaker 2: that weight, just as it is. His hair was dirty

747
00:36:53,200 --> 00:36:56,960
Speaker 2: and matted together, his teeth were rotten. I mean, I'm sorry,

748
00:36:57,040 --> 00:36:59,600
Speaker 2: but how are you going to get away with that

749
00:36:59,640 --> 00:37:02,080
Speaker 2: and say that you're innocent. There's just no reason that

750
00:37:02,160 --> 00:37:04,919
Speaker 2: an adult would be living. And she looks like she's

751
00:37:04,960 --> 00:37:08,400
Speaker 2: got makeup on, even though it's terrible, but like she

752
00:37:08,520 --> 00:37:12,040
Speaker 2: looks well nourished and like she's got clothes on and

753
00:37:12,080 --> 00:37:14,160
Speaker 2: her hair's brought you know what I mean. Like it's

754
00:37:14,160 --> 00:37:16,760
Speaker 2: a clear case of abuse, and it's just terribly sad.

755
00:37:17,360 --> 00:37:20,520
Speaker 1: Yeah, it really is. This is what her attorney said. Quote,

756
00:37:20,560 --> 00:37:22,360
Speaker 1: he was not locked in a room, She did not

757
00:37:22,440 --> 00:37:26,560
Speaker 1: restrain him in any way, She provided food, she provided shelter. Okay,

758
00:37:26,600 --> 00:37:28,800
Speaker 1: then why would they search the house? Did they find

759
00:37:28,840 --> 00:37:31,960
Speaker 1: this like plywood and special lock system on his bedroom

760
00:37:32,280 --> 00:37:33,560
Speaker 1: that clearly he couldn't get out.

761
00:37:33,640 --> 00:37:36,279
Speaker 2: I'm curious when the fire happened, since she got out

762
00:37:36,360 --> 00:37:39,560
Speaker 2: to safety, if she told the fire department, if there

763
00:37:39,600 --> 00:37:41,719
Speaker 2: was someone else in there, or they found him when

764
00:37:41,760 --> 00:37:42,440
Speaker 2: they were searching.

765
00:37:42,920 --> 00:37:46,000
Speaker 1: I'm curious about that too, And I'm wondering. I mean,

766
00:37:46,760 --> 00:37:48,959
Speaker 1: he clearly was so desperate to get out. He maybe

767
00:37:49,040 --> 00:37:50,880
Speaker 1: was just like, I don't even care if I die, Like,

768
00:37:50,960 --> 00:37:52,480
Speaker 1: at least.

769
00:37:52,440 --> 00:37:54,759
Speaker 2: I believe that he actually said that. He was just like,

770
00:37:54,800 --> 00:37:56,560
Speaker 2: you know what, I'm either gonna get out or I'm

771
00:37:56,560 --> 00:37:57,680
Speaker 2: gonna die either way.

772
00:37:57,800 --> 00:38:02,600
Speaker 1: Like, so, when his dad died last January, he was

773
00:38:02,640 --> 00:38:04,360
Speaker 1: able to leave for a little bit, I guess, to

774
00:38:04,440 --> 00:38:06,680
Speaker 1: grieve his dad. Like, how nice of this lady, right,

775
00:38:07,120 --> 00:38:10,880
Speaker 1: And then he was wearing an old jacket of his

776
00:38:10,960 --> 00:38:13,640
Speaker 1: dad's and that's where he found the lighter. Because of course,

777
00:38:13,719 --> 00:38:15,600
Speaker 1: I was like, how did he even get access to that?

778
00:38:15,920 --> 00:38:19,160
Speaker 2: This is interesting actually too, because so you're saying he

779
00:38:19,239 --> 00:38:21,960
Speaker 2: was allowed to leave, so he presumably went to some

780
00:38:22,040 --> 00:38:23,440
Speaker 2: kind of a funeral or something.

781
00:38:23,600 --> 00:38:25,160
Speaker 1: No, I don't think he went to a funeral. I

782
00:38:25,160 --> 00:38:26,560
Speaker 1: think he was allowed to leave the room.

783
00:38:27,160 --> 00:38:29,279
Speaker 2: Oh okay, so he didn't leave the house. Because I

784
00:38:29,360 --> 00:38:31,439
Speaker 2: was going to say, who the hell saw this guy

785
00:38:31,440 --> 00:38:34,480
Speaker 2: in this condition and wasn't like, what is happening here? No? No,

786
00:38:34,560 --> 00:38:37,080
Speaker 2: he was allowed to leave the room. And you know,

787
00:38:37,160 --> 00:38:40,240
Speaker 2: now he's safe and he's in a hospital, and that's great.

788
00:38:40,320 --> 00:38:42,759
Speaker 2: But I'm just thinking, like, you're thirty two years old,

789
00:38:43,200 --> 00:38:46,000
Speaker 2: How in the world is this? How are you ever

790
00:38:46,040 --> 00:38:47,359
Speaker 2: going to recover from this?

791
00:38:47,960 --> 00:38:51,759
Speaker 1: He's going to have he even though he seems like

792
00:38:52,040 --> 00:38:54,040
Speaker 1: you know, when I first read about this, I was like,

793
00:38:54,080 --> 00:38:56,960
Speaker 1: I don't know if maybe he had like some mental

794
00:38:57,200 --> 00:38:59,719
Speaker 1: disorder on top of being held captive and everything, but

795
00:38:59,719 --> 00:39:02,360
Speaker 1: how can you not form one after being abused in

796
00:39:02,400 --> 00:39:05,200
Speaker 1: this type of way for so long? I mean, I

797
00:39:05,200 --> 00:39:08,280
Speaker 1: have even if he gets healthy and he's in treatment

798
00:39:08,320 --> 00:39:11,040
Speaker 1: and everything, he's gonna have severe PTSD from this the

799
00:39:11,080 --> 00:39:13,600
Speaker 1: rest of his life. How is he ever gonna trust anybody?

800
00:39:13,960 --> 00:39:16,120
Speaker 1: I don't know. If you saw just this morning, NBC

801
00:39:16,320 --> 00:39:21,040
Speaker 1: reported about his biological mother. So apparently she had given

802
00:39:21,080 --> 00:39:23,359
Speaker 1: up custody of him when he was a really little kid,

803
00:39:23,400 --> 00:39:26,000
Speaker 1: and she had been looking for him in recent years

804
00:39:26,000 --> 00:39:29,919
Speaker 1: and wasn't able to locate him. So that's what's weird

805
00:39:29,960 --> 00:39:30,600
Speaker 1: to me too.

806
00:39:30,760 --> 00:39:32,959
Speaker 2: It is weird. The whole story is just so weird,

807
00:39:33,000 --> 00:39:36,560
Speaker 2: and it's just so it's so terrible that people would

808
00:39:36,560 --> 00:39:39,280
Speaker 2: ever do this to a child and now an adult.

809
00:39:39,480 --> 00:39:42,400
Speaker 2: I mean, she ruined his life. It's just that simple,

810
00:39:42,440 --> 00:39:44,400
Speaker 2: and it's it's just so terrible.

811
00:39:44,960 --> 00:39:48,960
Speaker 1: So the stepmom's facing charges of assault, kidnapping, and cruelty.

812
00:39:50,320 --> 00:39:53,400
Speaker 1: I'm really interested for more details about this case, especially

813
00:39:53,480 --> 00:39:57,120
Speaker 1: with other children being involved. Obviously the dad had some involvement,

814
00:39:57,640 --> 00:40:00,279
Speaker 1: of course, because we just wrote about Ruby Frank, I mean,

815
00:40:01,520 --> 00:40:04,359
Speaker 1: I didn't really cover this in part one necessarily, but

816
00:40:04,400 --> 00:40:06,799
Speaker 1: there's a lot of similarities to this coming up in

817
00:40:06,880 --> 00:40:09,200
Speaker 1: this week's part two, where we talk about, you know,

818
00:40:09,640 --> 00:40:12,440
Speaker 1: her locking her kids in this like bunker and this

819
00:40:12,600 --> 00:40:16,360
Speaker 1: Jodie woman's house and rubbing Cayenne Pepper in their wounds

820
00:40:16,400 --> 00:40:19,640
Speaker 1: after she beat them, and starving them and writing these

821
00:40:19,680 --> 00:40:22,560
Speaker 1: detailed diary entries about how she thought they were possessed

822
00:40:22,560 --> 00:40:26,160
Speaker 1: by Satan, and it's just really terrible. It really is

823
00:40:26,680 --> 00:40:29,440
Speaker 1: so all Right, the next case that we're talking about

824
00:40:29,640 --> 00:40:34,000
Speaker 1: is another terrible case. So I read this article this

825
00:40:34,080 --> 00:40:39,160
Speaker 1: week and I almost thought that it was a reprint

826
00:40:39,200 --> 00:40:42,240
Speaker 1: of a story because it's so similar to another story

827
00:40:42,239 --> 00:40:44,520
Speaker 1: that I believe that we've covered on here at some

828
00:40:44,600 --> 00:40:49,640
Speaker 1: point on our podcast, and it's it's not it's happened again,

829
00:40:49,680 --> 00:40:52,080
Speaker 1: and it's almost the same story. Well, I think this

830
00:40:52,160 --> 00:40:54,200
Speaker 1: has happened a couple of times, and there was an

831
00:40:54,360 --> 00:40:57,480
Speaker 1: episode there, you know that show I Survived. Yeah, there

832
00:40:57,560 --> 00:41:00,719
Speaker 1: was an episode about this with a woman that survived

833
00:41:00,719 --> 00:41:04,560
Speaker 1: an attack like this. So basically, in Brazil, this woman

834
00:41:04,680 --> 00:41:07,160
Speaker 1: shows up to the hospital with a newborn baby, claiming

835
00:41:07,200 --> 00:41:09,280
Speaker 1: she just gave birth to it. And then the hospital

836
00:41:09,360 --> 00:41:11,719
Speaker 1: is getting a little concerned because there's no signs at

837
00:41:11,719 --> 00:41:14,759
Speaker 1: all that she was pregnant or just gave birth. So

838
00:41:15,040 --> 00:41:17,239
Speaker 1: they have the police look into this, and they go

839
00:41:17,320 --> 00:41:19,719
Speaker 1: to her house and as they're searching the house, they

840
00:41:19,800 --> 00:41:24,040
Speaker 1: find this dead teenager buried in her backyard and more shockingly,

841
00:41:24,400 --> 00:41:26,920
Speaker 1: she clearly had a baby cut out of her stomach.

842
00:41:28,800 --> 00:41:31,600
Speaker 2: So this sounds familiar to you guys, right, because there

843
00:41:31,680 --> 00:41:35,520
Speaker 2: was a case back in twenty nineteen in Chicago where

844
00:41:35,600 --> 00:41:39,520
Speaker 2: it was so wait, we didn't say how how she

845
00:41:39,680 --> 00:41:44,000
Speaker 2: got the pregnant woman, how she had access to her, No,

846
00:41:44,200 --> 00:41:48,799
Speaker 2: So basically what happened is this lady was pregnant and

847
00:41:48,840 --> 00:41:51,480
Speaker 2: she had a miscarriage. She didn't tell her family so

848
00:41:51,520 --> 00:41:53,440
Speaker 2: they thought she was pregnant. I don't know how you're

849
00:41:53,520 --> 00:41:56,800
Speaker 2: keeping up that ruse with everybody that you're interacting with daily,

850
00:41:57,120 --> 00:42:02,000
Speaker 2: but obviously because especially especially because in theory you would

851
00:42:02,000 --> 00:42:04,520
Speaker 2: be like, at least you don't have to be having

852
00:42:04,520 --> 00:42:06,439
Speaker 2: sex with them, but at least like naked or getting

853
00:42:06,480 --> 00:42:08,879
Speaker 2: undressed at some point in front of them. Yeah.

854
00:42:08,880 --> 00:42:10,960
Speaker 1: But and do you think I was wondering this too,

855
00:42:11,000 --> 00:42:13,480
Speaker 1: I'm like, did she have a fake belly? Do you

856
00:42:13,480 --> 00:42:15,759
Speaker 1: think she kept having sex with him hoping that she

857
00:42:15,760 --> 00:42:18,880
Speaker 1: would get pregnant again to like self correct this issue.

858
00:42:19,440 --> 00:42:22,239
Speaker 1: I don't know, But obviously there's a time limit on

859
00:42:22,280 --> 00:42:24,840
Speaker 1: this because everybody thinks you're pregnant and you have to

860
00:42:24,840 --> 00:42:29,200
Speaker 1: give birth eventually. So she lures this pregnant teenager to

861
00:42:29,239 --> 00:42:32,719
Speaker 1: her house saying through Facebook, saying that she has a

862
00:42:32,840 --> 00:42:35,600
Speaker 1: free baby clothing to give her. And I believe that's

863
00:42:35,640 --> 00:42:38,480
Speaker 1: how the woman on I Survive got attacked too, was

864
00:42:38,520 --> 00:42:41,360
Speaker 1: through like a Facebook marketplace ad for free baby clothes.

865
00:42:41,640 --> 00:42:44,400
Speaker 2: So, and that's what happened in the case with Chicago

866
00:42:44,719 --> 00:42:47,840
Speaker 2: in twenty nineteen. It was an ad on Facebook for

867
00:42:47,920 --> 00:42:50,680
Speaker 2: free baby clothes, and there was another one that just

868
00:42:50,719 --> 00:42:54,360
Speaker 2: happened in twenty twenty two with another Facebook ad, except

869
00:42:54,360 --> 00:42:56,560
Speaker 2: this time the woman was pretending to give the pregnant

870
00:42:56,560 --> 00:43:01,360
Speaker 2: woman a job opportunity. So fa f book has happened

871
00:43:01,440 --> 00:43:05,279
Speaker 2: in many of these cases, which is super disturbing, and

872
00:43:05,880 --> 00:43:09,680
Speaker 2: I feel like, I mean, it's involved with lots of homicide.

873
00:43:09,719 --> 00:43:12,560
Speaker 2: So you really should just never be meeting strangers on

874
00:43:12,600 --> 00:43:15,320
Speaker 2: the internet. That's just like a given rule of life

875
00:43:15,400 --> 00:43:18,520
Speaker 2: in general. But did you know that the number one

876
00:43:18,960 --> 00:43:22,520
Speaker 2: manner of death in pregnant women is homicide. It's not

877
00:43:22,680 --> 00:43:25,960
Speaker 2: actually a natural cause of death or an accidental cause

878
00:43:26,000 --> 00:43:29,800
Speaker 2: of death is homicide. Yeah, so there's just something about

879
00:43:29,800 --> 00:43:32,279
Speaker 2: pregnant ladies that people want to kill them. It is

880
00:43:32,360 --> 00:43:37,400
Speaker 2: really terrifying actually, But yeah, so this lady shows up

881
00:43:37,440 --> 00:43:40,600
Speaker 2: to the hospital. Now, if you go to the hospital

882
00:43:40,640 --> 00:43:42,960
Speaker 2: and say I just had a big with a brand

883
00:43:42,960 --> 00:43:45,640
Speaker 2: new baby, and you go there and say I just

884
00:43:45,719 --> 00:43:48,520
Speaker 2: gave birth to this kid in my car, they're gonna

885
00:43:48,520 --> 00:43:50,680
Speaker 2: want to examine you because they're gonna want to make

886
00:43:50,719 --> 00:43:53,160
Speaker 2: sure that the placenta came out and then make sure

887
00:43:53,200 --> 00:43:55,239
Speaker 2: it all came out because if it didn't, it could

888
00:43:55,280 --> 00:43:59,719
Speaker 2: cause bleeding and it can cause infection. Serious complications. They

889
00:43:59,800 --> 00:44:02,200
Speaker 2: just want to make sure you're not bleeding more than

890
00:44:02,280 --> 00:44:05,600
Speaker 2: normal and they check you. So they do an examine

891
00:44:05,600 --> 00:44:08,960
Speaker 2: this lady and like, duh, imagine giving birth to a

892
00:44:09,080 --> 00:44:12,080
Speaker 2: huge baby, this was a term baby. Your your your

893
00:44:12,160 --> 00:44:13,960
Speaker 2: vadge would look like there was like a little bit

894
00:44:13,960 --> 00:44:16,920
Speaker 2: of trauma there, don't you think? So you're yeah, your

895
00:44:17,000 --> 00:44:20,200
Speaker 2: vaginal canal would be stretched, your cervix would still be dilated,

896
00:44:20,280 --> 00:44:22,880
Speaker 2: your uterus wouldn't even be done being contracted all the

897
00:44:22,920 --> 00:44:26,759
Speaker 2: way down, And they just were like, yeah, no, like

898
00:44:26,800 --> 00:44:31,120
Speaker 2: this didn't happen. And they they actually called police from

899
00:44:31,160 --> 00:44:35,759
Speaker 2: the hospital and were like something's up here. And it's

900
00:44:35,840 --> 00:44:39,400
Speaker 2: just so disturbing that you would you would kill a

901
00:44:39,480 --> 00:44:42,959
Speaker 2: human and take that that person away from their mother,

902
00:44:43,160 --> 00:44:46,000
Speaker 2: like that baby away from their mother. It's just so gross.

903
00:44:46,840 --> 00:44:49,799
Speaker 1: But like why, you know, why would you also not

904
00:44:49,920 --> 00:44:52,239
Speaker 1: tell your family you had a miscarriage and then go

905
00:44:52,280 --> 00:44:54,800
Speaker 1: to these steps like what is going on with this person?

906
00:44:55,640 --> 00:44:58,440
Speaker 2: Maybe she thought a baby was gonna save her marriage

907
00:44:58,440 --> 00:45:01,439
Speaker 2: and he would be disappointed. I mean, like people get

908
00:45:01,440 --> 00:45:05,040
Speaker 2: weird about stuff like that. Honestly, Like I don't think

909
00:45:05,160 --> 00:45:08,520
Speaker 2: I just think that that's not super unusual that a

910
00:45:08,640 --> 00:45:12,960
Speaker 2: husband might be disappointed or that's just that's life and

911
00:45:12,960 --> 00:45:16,640
Speaker 2: that happens, especially in certain cultures, that definitely happens. It's

912
00:45:16,719 --> 00:45:19,360
Speaker 2: more like, okay, well, like the rest of the world

913
00:45:19,440 --> 00:45:22,120
Speaker 2: just has to have deal with the disappointment or whatever,

914
00:45:22,160 --> 00:45:26,560
Speaker 2: because you can't hide that. And really having a miscarriage

915
00:45:26,640 --> 00:45:29,680
Speaker 2: is it's super upsetting and you want to have support

916
00:45:29,719 --> 00:45:32,280
Speaker 2: there and everything. I can't even imagine going through something

917
00:45:32,360 --> 00:45:34,719
Speaker 2: like that, not only for the physical part of it,

918
00:45:34,760 --> 00:45:37,320
Speaker 2: but just the mental part of it. Going through something

919
00:45:37,400 --> 00:45:39,520
Speaker 2: like that and not telling anybody about it. She was

920
00:45:39,560 --> 00:45:43,600
Speaker 2: probably just embarrassed for whatever reason, and it went from there.

921
00:45:44,160 --> 00:45:46,640
Speaker 2: I just don't know what people are thinking that they

922
00:45:46,640 --> 00:45:51,239
Speaker 2: could actually get away with this. It's just so it's

923
00:45:51,280 --> 00:45:55,120
Speaker 2: so odd and nobody would question where the where the

924
00:45:55,200 --> 00:45:57,680
Speaker 2: dead pregnant girl was, Like come on, it's just it's

925
00:45:57,760 --> 00:45:58,760
Speaker 2: just outrageous.

926
00:45:59,120 --> 00:46:01,879
Speaker 1: Well, you have to quit the husband's involvement too, because

927
00:46:01,880 --> 00:46:04,720
Speaker 1: you're like, seriously, you didn't realize your wife wasn't pregnant

928
00:46:04,719 --> 00:46:07,080
Speaker 1: for six months and like her belly wasn't getting bigger,

929
00:46:07,480 --> 00:46:11,840
Speaker 1: and like again, like you're saying it, I'm sure ninety

930
00:46:11,920 --> 00:46:14,160
Speaker 1: nine percent of married people get naked in front of

931
00:46:14,160 --> 00:46:17,839
Speaker 1: each other besides having sex, So like, it's just really

932
00:46:17,880 --> 00:46:18,560
Speaker 1: odd to me he didn't.

933
00:46:18,600 --> 00:46:19,960
Speaker 2: I would make it in front of one of my

934
00:46:20,000 --> 00:46:22,640
Speaker 2: family members every single day, whether it's getting out of

935
00:46:22,680 --> 00:46:25,080
Speaker 2: the shower or whatever. Like it's just when you live

936
00:46:25,120 --> 00:46:27,280
Speaker 2: in a house, Like I feel like it just happens.

937
00:46:27,440 --> 00:46:30,880
Speaker 1: Well, Furthermore, they're saying that she buried this girl in

938
00:46:30,920 --> 00:46:33,400
Speaker 1: a shallow grave, So like, would the husband have not

939
00:46:33,520 --> 00:46:36,880
Speaker 1: eventually come across the whole dead body buried in his backyard?

940
00:46:37,040 --> 00:46:40,040
Speaker 2: I don't know. I just think it's really lot of

941
00:46:40,080 --> 00:46:44,319
Speaker 2: disturbing stories this week, especially like this one.

942
00:46:44,640 --> 00:46:47,160
Speaker 1: This next case also involves Facebook.

943
00:46:47,840 --> 00:46:52,120
Speaker 2: It's it's Facebook is just like a cesspool of crime.

944
00:46:52,640 --> 00:46:55,640
Speaker 1: No, it really is. I mean you have to think

945
00:46:55,719 --> 00:46:59,560
Speaker 1: like people. This new tool comes about like twenty twenty

946
00:46:59,600 --> 00:47:02,160
Speaker 1: five years years ago. Right of course people use it

947
00:47:02,200 --> 00:47:05,399
Speaker 1: for evil. It's what everybody's arguing about AI. It's cool

948
00:47:05,400 --> 00:47:08,280
Speaker 1: to go on AI and Google, like make a picture

949
00:47:08,320 --> 00:47:10,600
Speaker 1: of blah blah blah, right and have something funny to

950
00:47:10,640 --> 00:47:12,840
Speaker 1: make fun of. Remember when I was putting my face

951
00:47:12,880 --> 00:47:16,919
Speaker 1: on all those different years, so like make me look

952
00:47:17,000 --> 00:47:19,560
Speaker 1: like a Victorian woman. Whatever, But somebody will use it

953
00:47:19,600 --> 00:47:21,240
Speaker 1: for evil eventually anyway.

954
00:47:21,320 --> 00:47:24,640
Speaker 2: Oh oh, they already are. They're putting like children's pictures

955
00:47:24,640 --> 00:47:26,440
Speaker 2: on porn and stuff. It's fucking terrible.

956
00:47:26,560 --> 00:47:29,640
Speaker 1: Uh all right, So last year, these two dogs have

957
00:47:29,719 --> 00:47:32,000
Speaker 1: been taken to a shelter after their owner died from

958
00:47:32,120 --> 00:47:35,280
Speaker 1: natural causes, but they ended up eating the owner before

959
00:47:35,560 --> 00:47:38,760
Speaker 1: the person was discovered. So at the shelter, the dogs

960
00:47:38,800 --> 00:47:41,799
Speaker 1: throw up this guy's toes and other remains. So then

961
00:47:41,880 --> 00:47:45,000
Speaker 1: this woman, Joanna, goes into work at the shelter, finds

962
00:47:45,000 --> 00:47:47,160
Speaker 1: the toes in a bin and thinks it's a good

963
00:47:47,160 --> 00:47:49,560
Speaker 1: idea to bring the toes home, throw them in some

964
00:47:49,640 --> 00:47:53,520
Speaker 1: formal dyde and try to sell them on Facebook. Like

965
00:47:53,840 --> 00:47:54,520
Speaker 1: what you know what?

966
00:47:54,520 --> 00:47:57,400
Speaker 2: I was just thinking, actually, and I really hope we

967
00:47:57,480 --> 00:47:59,919
Speaker 2: could talk to somebody about this. Do you think face

968
00:48:00,000 --> 00:48:02,600
Speaker 2: this book has a whole entire division that they deal

969
00:48:02,680 --> 00:48:06,839
Speaker 2: with this particular stuff like crimes that happen because they

970
00:48:07,280 --> 00:48:11,280
Speaker 2: they definitely get reported to them and they have police

971
00:48:11,360 --> 00:48:14,279
Speaker 2: contact them, FBI contact them all the time to look

972
00:48:14,320 --> 00:48:16,719
Speaker 2: into certain people. I'm just like really curious of that

973
00:48:16,800 --> 00:48:17,960
Speaker 2: aspect of Facebook.

974
00:48:18,400 --> 00:48:24,960
Speaker 1: Well, it's my understanding that things like this are delegated

975
00:48:25,000 --> 00:48:29,959
Speaker 1: to the FBI because they're online. So I would think

976
00:48:30,000 --> 00:48:33,120
Speaker 1: the question is is does the FDI. Does the FBI

977
00:48:33,239 --> 00:48:35,720
Speaker 1: have a division specifically for Facebook.

978
00:48:35,880 --> 00:48:37,600
Speaker 2: No, I'm sure they do. I'm sure they have a

979
00:48:37,640 --> 00:48:41,200
Speaker 2: whole entire social media like a division of multiple people.

980
00:48:41,480 --> 00:48:43,600
Speaker 2: I actually could find that out because I know somebody

981
00:48:43,600 --> 00:48:46,840
Speaker 2: that works there. But anyway, so I'll get back to

982
00:48:46,880 --> 00:48:50,640
Speaker 2: you guys on that. But so, she she's in some

983
00:48:50,760 --> 00:48:54,120
Speaker 2: active member Facebook group where specimens are bought and sold,

984
00:48:54,560 --> 00:48:57,239
Speaker 2: and she heard that she could get up to two

985
00:48:57,320 --> 00:49:00,160
Speaker 2: hundred and fifty dollars if she sold these two. Oh,

986
00:49:01,080 --> 00:49:04,239
Speaker 2: so that's why she decided to do it. Are there

987
00:49:04,239 --> 00:49:06,760
Speaker 2: like pictures of these posts that she made on Facebook?

988
00:49:06,800 --> 00:49:09,560
Speaker 2: By any chance, I'll have to do a deep dive

989
00:49:09,600 --> 00:49:12,560
Speaker 2: for them. We need to find that, because I mean, listen,

990
00:49:12,719 --> 00:49:16,040
Speaker 2: I never like this is very interesting that this story

991
00:49:16,080 --> 00:49:18,600
Speaker 2: came up today because I never even thought about this,

992
00:49:18,840 --> 00:49:23,000
Speaker 2: like this happens. This just happened with Gene Hackman, for example,

993
00:49:23,080 --> 00:49:25,360
Speaker 2: like him and his wife died at the house, and

994
00:49:25,400 --> 00:49:29,560
Speaker 2: they brought the dogs that survived somewhere somebody as the dogs.

995
00:49:29,880 --> 00:49:32,000
Speaker 2: And I brought this up last week that I was

996
00:49:32,080 --> 00:49:35,080
Speaker 2: curious as to how the dogs were eating this entire

997
00:49:35,160 --> 00:49:39,440
Speaker 2: time that nobody was feeding them, so that information has

998
00:49:39,520 --> 00:49:42,640
Speaker 2: never been released. This is just something I'm assuming, but

999
00:49:42,840 --> 00:49:45,920
Speaker 2: just the many times that we know that, you know,

1000
00:49:46,000 --> 00:49:49,960
Speaker 2: pets eat their owners when they die. I'm really really

1001
00:49:50,000 --> 00:49:54,040
Speaker 2: curious to see what happens when these pets go to

1002
00:49:54,440 --> 00:49:56,200
Speaker 2: a vet office. If any of you work in a

1003
00:49:56,280 --> 00:49:59,719
Speaker 2: vet office, like I would just never would think that

1004
00:49:59,760 --> 00:50:02,520
Speaker 2: they might throw up and have human body parts in it.

1005
00:50:02,520 --> 00:50:07,440
Speaker 2: It's just very disturbing. But it seems like the woman

1006
00:50:07,640 --> 00:50:10,239
Speaker 2: wasn't working at there at the time, and maybe one

1007
00:50:10,239 --> 00:50:12,160
Speaker 2: of her co workers told her about it, and they

1008
00:50:12,360 --> 00:50:14,640
Speaker 2: it seems like she took them out of the trash

1009
00:50:15,239 --> 00:50:17,399
Speaker 2: and then put them in from aldehyde and brought them

1010
00:50:17,400 --> 00:50:21,319
Speaker 2: home like it's just okay, Like that's how you want

1011
00:50:21,320 --> 00:50:23,120
Speaker 2: to make two hundred and fifty dollars. I don't know.

1012
00:50:24,320 --> 00:50:26,279
Speaker 1: I guess my question is how do you think you're

1013
00:50:26,360 --> 00:50:29,960
Speaker 1: not getting in trouble for that? Also, I was really

1014
00:50:30,040 --> 00:50:34,240
Speaker 1: curious how a group that's dedicated to selling and buying

1015
00:50:34,320 --> 00:50:38,880
Speaker 1: specimens is not prohibited on Facebook. But I guess that

1016
00:50:39,280 --> 00:50:42,640
Speaker 1: taxidermy sales are legal, correct, so like.

1017
00:50:43,400 --> 00:50:48,040
Speaker 2: Yeah, and certain certain things are. It depends too, because

1018
00:50:48,080 --> 00:50:51,480
Speaker 2: she was in Australia. Right, Yeah, so certain countries have

1019
00:50:51,600 --> 00:50:54,640
Speaker 2: different laws. I mean, you're not allowed to buy every

1020
00:50:54,719 --> 00:50:58,120
Speaker 2: single animal that's taxidermied either some of them are illegal,

1021
00:50:58,880 --> 00:51:02,520
Speaker 2: other times some of them are considered like exempt because

1022
00:51:02,600 --> 00:51:07,080
Speaker 2: they're front. They're maybe an old specimen, like a really

1023
00:51:07,120 --> 00:51:11,719
Speaker 2: really like an animal that maybe wasn't considered endangered in

1024
00:51:11,760 --> 00:51:13,840
Speaker 2: the past, or even one that might have been. But

1025
00:51:13,920 --> 00:51:16,719
Speaker 2: the taxi Army was done in the twenties, so it's

1026
00:51:17,480 --> 00:51:19,279
Speaker 2: you know, like stuff like that. There's like all these

1027
00:51:19,360 --> 00:51:23,160
Speaker 2: rules which I don't know what they are, but I mean,

1028
00:51:24,000 --> 00:51:27,000
Speaker 2: and I don't know how Facebook monitors things like that

1029
00:51:27,120 --> 00:51:30,440
Speaker 2: because the rules change state to state, country to country,

1030
00:51:30,480 --> 00:51:34,239
Speaker 2: and if it's a group that has members from all

1031
00:51:34,280 --> 00:51:36,439
Speaker 2: over the world in it, I don't really know how

1032
00:51:36,480 --> 00:51:39,160
Speaker 2: they monitor that. But I'm pretty sure that we know

1033
00:51:39,200 --> 00:51:44,160
Speaker 2: they're not monitoring a lot. I think that they created

1034
00:51:44,160 --> 00:51:46,040
Speaker 2: this and they just, you know, we say this all

1035
00:51:46,080 --> 00:51:48,160
Speaker 2: the time. They just create these things and think of

1036
00:51:48,200 --> 00:51:50,879
Speaker 2: all the great and they don't think about all the bad,

1037
00:51:50,920 --> 00:51:53,120
Speaker 2: and then all the bad starts happening and they just

1038
00:51:53,200 --> 00:51:55,680
Speaker 2: can't stay on top of it. They don't know how

1039
00:51:55,719 --> 00:51:56,640
Speaker 2: to stay on top of it.

1040
00:51:56,840 --> 00:51:59,279
Speaker 1: Like people going on live streams and cutting off other

1041
00:51:59,320 --> 00:52:00,000
Speaker 1: people's heads.

1042
00:52:00,239 --> 00:52:02,759
Speaker 2: Yeah, just all of that stuff. So, I mean, and

1043
00:52:03,080 --> 00:52:05,840
Speaker 2: it's like someone just got We said that the person

1044
00:52:05,920 --> 00:52:09,239
Speaker 2: got murdered on. Was that on TikTok or YouTube? The

1045
00:52:09,560 --> 00:52:12,160
Speaker 2: one we talked about earlier today was YouTube?

1046
00:52:12,200 --> 00:52:13,360
Speaker 1: Right, that was YouTube?

1047
00:52:13,520 --> 00:52:16,279
Speaker 2: Yeah, I mean, and there's going to be a certain level.

1048
00:52:16,040 --> 00:52:20,480
Speaker 1: Of I don't know it was a YouTuber, but she.

1049
00:52:20,520 --> 00:52:23,560
Speaker 2: Was live streaming. I guess we don't know where she

1050
00:52:23,600 --> 00:52:24,719
Speaker 2: was live streaming. Yeah, I guess.

1051
00:52:24,719 --> 00:52:27,880
Speaker 1: I'm just saying that because if she had a popular YouTube,

1052
00:52:27,880 --> 00:52:31,040
Speaker 1: she would be her title would be a YouTuber, but

1053
00:52:31,120 --> 00:52:33,640
Speaker 1: she could have been theory been live streaming on another

1054
00:52:33,760 --> 00:52:35,040
Speaker 1: so she had a platform.

1055
00:52:35,160 --> 00:52:38,279
Speaker 2: But regardless, like it's just I mean, how do you

1056
00:52:38,320 --> 00:52:42,160
Speaker 2: prevent all of it? So anyway, this lady's getting in trouble.

1057
00:52:42,200 --> 00:52:44,640
Speaker 2: She's facing up to two years in prison.

1058
00:52:44,840 --> 00:52:47,000
Speaker 1: She was facing up to two years in prison, but

1059
00:52:47,040 --> 00:52:49,280
Speaker 1: she made a plea deal, so she ended up getting

1060
00:52:49,320 --> 00:52:53,400
Speaker 1: sentenced with eighteen month non custodial sentence, which includes one

1061
00:52:53,480 --> 00:52:58,319
Speaker 1: hundred and fifty hours of community service. So I yeah,

1062
00:52:58,400 --> 00:53:00,480
Speaker 1: could I guess I don't think she should go to

1063
00:53:00,560 --> 00:53:03,320
Speaker 1: jail for it. Yeah, she didn't.

1064
00:53:03,360 --> 00:53:06,200
Speaker 2: It's it's gross. I mean, if they were throwing them

1065
00:53:06,200 --> 00:53:10,480
Speaker 2: in the trash whatever, it's gross. But what's really gross

1066
00:53:10,719 --> 00:53:15,000
Speaker 2: is this next story is freaking gross. No, this is horrible.

1067
00:53:15,280 --> 00:53:17,600
Speaker 1: Last month in China, these two seventeen year olds were

1068
00:53:17,600 --> 00:53:20,919
Speaker 1: eating at a popular hot pot chain. So they're eating

1069
00:53:21,000 --> 00:53:23,040
Speaker 1: in this private dining room and they decide to make

1070
00:53:23,120 --> 00:53:25,920
Speaker 1: videos of them peeing in the hot pot and then

1071
00:53:25,960 --> 00:53:29,319
Speaker 1: they post it online and it goes viral. So of

1072
00:53:29,360 --> 00:53:31,040
Speaker 1: course people are freaking out.

1073
00:53:30,960 --> 00:53:35,319
Speaker 2: That have eaten at this restaurant. So listen, like in

1074
00:53:35,360 --> 00:53:37,640
Speaker 2: the grand scheme of things, I think we've talked about

1075
00:53:37,680 --> 00:53:42,319
Speaker 2: this before because unfortunately people pee in people's food and

1076
00:53:42,360 --> 00:53:45,840
Speaker 2: we have to talk about it. Urine is just the

1077
00:53:46,320 --> 00:53:49,239
Speaker 2: like the least inert I guess you would say of

1078
00:53:49,440 --> 00:53:53,160
Speaker 2: body fluids. It's not like you're drinking someone's blood, which

1079
00:53:53,200 --> 00:53:59,040
Speaker 2: could really expose you to bloodborne pathogens. Urine carries some stuff,

1080
00:53:59,080 --> 00:54:02,080
Speaker 2: but it's not it's it's not terrible. It's just more

1081
00:54:02,160 --> 00:54:04,279
Speaker 2: like it's just really the thought of it is just

1082
00:54:04,360 --> 00:54:07,840
Speaker 2: really gross. You could get certain like typhoid or something,

1083
00:54:07,840 --> 00:54:11,240
Speaker 2: but like in an average person, you're in a sterile

1084
00:54:11,320 --> 00:54:13,239
Speaker 2: inside the body and then it comes out and it

1085
00:54:13,440 --> 00:54:15,759
Speaker 2: and it hits your skin and it gets bacteria on it,

1086
00:54:15,840 --> 00:54:17,680
Speaker 2: and you I guess in theory you could get stick

1087
00:54:17,719 --> 00:54:20,000
Speaker 2: from some of that bacteria, but it's like not very

1088
00:54:20,120 --> 00:54:22,719
Speaker 2: likely for it to happen. But it's just freaking disgusting.

1089
00:54:23,680 --> 00:54:26,480
Speaker 1: Yeah, I mean, it is really gross, and it seeming

1090
00:54:26,719 --> 00:54:30,320
Speaker 1: like the bigger problem with this story is that people

1091
00:54:30,360 --> 00:54:35,040
Speaker 1: alerted the restaurant, but they weren't taking the claim seriously,

1092
00:54:35,160 --> 00:54:37,880
Speaker 1: and then we're trying to allege that people were trying

1093
00:54:37,920 --> 00:54:41,160
Speaker 1: to hurt their reputation, and then by the time they

1094
00:54:41,200 --> 00:54:43,960
Speaker 1: finally took it seriously, that it was this greater issue.

1095
00:54:44,320 --> 00:54:46,600
Speaker 1: So they've offered a reason that they.

1096
00:54:46,480 --> 00:54:49,040
Speaker 2: Only take it seriously when they saw the viral video.

1097
00:54:49,920 --> 00:54:52,759
Speaker 1: But I think people were reporting it beforehand, so why

1098
00:54:52,760 --> 00:54:54,440
Speaker 1: aren't they taking it seriously?

1099
00:54:55,160 --> 00:54:57,640
Speaker 2: This is this is like a pretty big deal chain

1100
00:54:57,920 --> 00:55:01,120
Speaker 2: and there's even a couple hero I heart I think

1101
00:55:01,160 --> 00:55:05,120
Speaker 2: I've read. So now they're going to compensate all of

1102
00:55:05,160 --> 00:55:09,399
Speaker 2: these forty one hundred orders between the dates where they

1103
00:55:09,400 --> 00:55:12,879
Speaker 2: think that this happened with a full refund plus ten

1104
00:55:13,000 --> 00:55:16,520
Speaker 2: times that amount of money. So they're like scared shitless

1105
00:55:16,560 --> 00:55:18,279
Speaker 2: that this is going to affect their business because that's

1106
00:55:18,320 --> 00:55:19,080
Speaker 2: a lot of money.

1107
00:55:19,920 --> 00:55:22,960
Speaker 1: Well, I was wondering if because they were blowing it

1108
00:55:23,000 --> 00:55:25,960
Speaker 1: off at first, they had to really go hard on

1109
00:55:26,400 --> 00:55:31,200
Speaker 1: the refunds and giving extra because of how serious this

1110
00:55:31,400 --> 00:55:34,080
Speaker 1: is and how gross it is, and because they weren't

1111
00:55:34,080 --> 00:55:35,960
Speaker 1: taking it seriously, and then they were like, we have

1112
00:55:36,000 --> 00:55:38,760
Speaker 1: to do everything in our power to make it right. Yeah,

1113
00:55:38,840 --> 00:55:41,080
Speaker 1: Because I'm like, if they just at first were like,

1114
00:55:41,760 --> 00:55:43,719
Speaker 1: oh my god, we're so sorry, we're definitely going to

1115
00:55:43,800 --> 00:55:46,799
Speaker 1: refund people from these days, blah blah blah, they might

1116
00:55:46,840 --> 00:55:48,640
Speaker 1: not have had to take the extra step to make

1117
00:55:48,680 --> 00:55:51,480
Speaker 1: it right. But you can't act like people are just

1118
00:55:51,520 --> 00:55:54,320
Speaker 1: trying to hurt your reputation when there's like video of

1119
00:55:54,400 --> 00:55:57,440
Speaker 1: people pissing in the pot pots at your restaurant.

1120
00:55:57,960 --> 00:56:01,360
Speaker 2: All right, speaking of this, this is definitely the grossest

1121
00:56:01,400 --> 00:56:02,320
Speaker 2: video of the week.

1122
00:56:02,760 --> 00:56:05,160
Speaker 1: So this woman's in the Bronx. She's walking down the

1123
00:56:05,200 --> 00:56:07,840
Speaker 1: street and she sees this man take a dead rat

1124
00:56:07,960 --> 00:56:10,560
Speaker 1: off of the street and just start eating it.

1125
00:56:12,960 --> 00:56:15,279
Speaker 2: You watch this video and you just can't believe it.

1126
00:56:15,440 --> 00:56:19,040
Speaker 2: So to me, the grossest part because people eat rats.

1127
00:56:19,400 --> 00:56:22,440
Speaker 2: It's I know it's gross in America, but people in

1128
00:56:22,520 --> 00:56:24,880
Speaker 2: different cultures eat rats. It's just the way it is.

1129
00:56:24,920 --> 00:56:27,520
Speaker 2: It's really not any grosser than eating any kind of animal,

1130
00:56:27,520 --> 00:56:30,520
Speaker 2: except in New York City rat it's just extra gross

1131
00:56:30,520 --> 00:56:33,240
Speaker 2: because they're in the city and they're just eating whatever

1132
00:56:33,360 --> 00:56:36,240
Speaker 2: off of the ground, and they just seem the grosser

1133
00:56:36,239 --> 00:56:39,719
Speaker 2: than the average animal. Right, You're not really supposed to

1134
00:56:39,719 --> 00:56:42,440
Speaker 2: ever eat raw meat. It's never really considered safe, so

1135
00:56:42,520 --> 00:56:44,759
Speaker 2: if you cook it, then it kills off all of

1136
00:56:44,760 --> 00:56:47,960
Speaker 2: the bacteria and viruses that you could possibly and parasites

1137
00:56:48,000 --> 00:56:52,680
Speaker 2: that you could possibly get. Let's talk about gene Hackman,

1138
00:56:52,800 --> 00:56:55,120
Speaker 2: right and the haunt of virus. Now, it hasn't been

1139
00:56:55,160 --> 00:56:56,960
Speaker 2: found in New York City, so we don't have to

1140
00:56:57,000 --> 00:56:59,800
Speaker 2: worry about that, but in theory, you could get hantavirus

1141
00:56:59,840 --> 00:57:03,759
Speaker 2: for eating a rodent like that raw and uncooked, because

1142
00:57:03,800 --> 00:57:06,160
Speaker 2: you'll be eating their fecal matter, which is how you

1143
00:57:06,480 --> 00:57:12,080
Speaker 2: contract that virus like salmonella leptosporiasis. Like this is really

1144
00:57:12,080 --> 00:57:12,600
Speaker 2: really bad.

1145
00:57:14,360 --> 00:57:17,120
Speaker 1: Obviously, it seems like this person was having some mental

1146
00:57:17,160 --> 00:57:20,280
Speaker 1: health issues because why would you just pick up a

1147
00:57:20,320 --> 00:57:22,320
Speaker 1: dead rat and eat it like that? And it seems

1148
00:57:22,320 --> 00:57:25,160
Speaker 1: like in this video he's like giving it a mini

1149
00:57:25,200 --> 00:57:29,000
Speaker 1: dissection in his hands first, and then when he pulls

1150
00:57:29,160 --> 00:57:31,960
Speaker 1: up to his mouth and takes the bite, I'm thinking,

1151
00:57:32,000 --> 00:57:35,240
Speaker 1: in my mind, he's just like biting the fur, right. No,

1152
00:57:35,480 --> 00:57:39,160
Speaker 1: there's like this gross white string of organ that comes

1153
00:57:39,280 --> 00:57:41,840
Speaker 1: between his mouth and the rats. So discussing he.

1154
00:57:41,840 --> 00:57:44,360
Speaker 2: Could totally be out of his mind, which is possible,

1155
00:57:44,400 --> 00:57:47,200
Speaker 2: but like it's the same as a conversation that we

1156
00:57:47,320 --> 00:57:49,680
Speaker 2: had about the guy that was catching the pigeon in

1157
00:57:49,720 --> 00:57:51,760
Speaker 2: the bag in New York City as well, Like people

1158
00:57:51,840 --> 00:57:54,480
Speaker 2: are coming from other cultures and maybe they eat that

1159
00:57:54,560 --> 00:57:59,360
Speaker 2: wherever he's from. I don't know. It's nasty, but whatever,

1160
00:57:59,720 --> 00:58:02,360
Speaker 2: Like it's it's who cares what the dude eat if

1161
00:58:02,400 --> 00:58:04,320
Speaker 2: she wants to eat it, Like it's not hurting you.

1162
00:58:05,080 --> 00:58:07,720
Speaker 1: Yeah, because they're saying the New York City officials are

1163
00:58:07,720 --> 00:58:10,000
Speaker 1: trying to like locate him and try.

1164
00:58:09,880 --> 00:58:12,120
Speaker 2: To get him help you, I mean, like listen, like

1165
00:58:12,200 --> 00:58:15,080
Speaker 2: he's probably gonna get sick with something, but like whatever,

1166
00:58:15,240 --> 00:58:18,840
Speaker 2: so like that that's just whatever. How's that going to

1167
00:58:18,960 --> 00:58:20,040
Speaker 2: hurt other? I don't know whatever.

1168
00:58:20,160 --> 00:58:23,560
Speaker 1: Like you're saying, though, some people eat rats and other cultures,

1169
00:58:23,600 --> 00:58:27,120
Speaker 1: but typically they are cooked, so I think it's pretty unusual.

1170
00:58:27,200 --> 00:58:29,200
Speaker 1: To just pick up a dead rodent off of the

1171
00:58:29,240 --> 00:58:33,240
Speaker 1: ground and then start snacking on it. But let's move

1172
00:58:33,280 --> 00:58:35,160
Speaker 1: on to questions of the day. Every Friday at the

1173
00:58:35,160 --> 00:58:37,440
Speaker 1: app Mother knows that Instagram account, You guys could head

1174
00:58:37,440 --> 00:58:40,880
Speaker 1: over to our story and ask us whatever you want. First,

1175
00:58:41,160 --> 00:58:44,800
Speaker 1: would mass casualties after wars call for autopsies on each

1176
00:58:44,920 --> 00:58:45,760
Speaker 1: deceased person?

1177
00:58:46,520 --> 00:58:51,240
Speaker 2: I would say No. There might be circumstances where there's

1178
00:58:51,280 --> 00:58:53,840
Speaker 2: there's an attack or something on a building and they

1179
00:58:53,840 --> 00:58:55,880
Speaker 2: weren't sure if it was friendly fire or not, so

1180
00:58:55,920 --> 00:58:59,000
Speaker 2: they might do some investigation to see if they could

1181
00:58:59,000 --> 00:59:02,320
Speaker 2: figure out what caused that in a very smaller group

1182
00:59:02,360 --> 00:59:06,920
Speaker 2: of people. But to do mass casualty events, no, all right.

1183
00:59:07,000 --> 00:59:09,920
Speaker 1: Two, can you see changes on the brain of someone

1184
00:59:09,960 --> 00:59:11,880
Speaker 1: with severe mental health disorders?

1185
00:59:12,560 --> 00:59:16,520
Speaker 2: So if the person was having depression or something before death,

1186
00:59:16,560 --> 00:59:19,320
Speaker 2: and let's say you did the autopsy and it turns out, oh,

1187
00:59:19,440 --> 00:59:22,120
Speaker 2: they had a brain tumor or something, then yes, you

1188
00:59:22,120 --> 00:59:26,840
Speaker 2: would see that. If you would see Parkinson's, which and

1189
00:59:26,920 --> 00:59:30,320
Speaker 2: these types of disease could have they could have an

1190
00:59:30,320 --> 00:59:32,920
Speaker 2: effect on mental health, Alzheimer's and things like that. So

1191
00:59:33,000 --> 00:59:35,520
Speaker 2: you could see things like that. But as far as

1192
00:59:35,560 --> 00:59:41,040
Speaker 2: just straightforward like schizophrenia, bipolar disorder, depression. You can't see that,

1193
00:59:41,160 --> 00:59:43,840
Speaker 2: and you can't even see it under the microscope. In fact,

1194
00:59:43,880 --> 00:59:47,280
Speaker 2: there's not even imaging really that could show that stuff.

1195
00:59:47,320 --> 00:59:53,480
Speaker 2: So yeah, unfortunately it's a chemical thing that's going on

1196
00:59:53,600 --> 00:59:56,240
Speaker 2: or a structural thing that they just can't identify under

1197
00:59:56,280 --> 00:59:58,480
Speaker 2: the microscope as of yet.

1198
00:59:58,920 --> 01:00:01,840
Speaker 1: All Right, last favorite cult classic movies.

1199
01:00:03,000 --> 01:00:05,400
Speaker 2: So I had to look up what was considered a

1200
01:00:05,440 --> 01:00:07,800
Speaker 2: cult classic because one of the first things that popped

1201
01:00:07,800 --> 01:00:11,520
Speaker 2: in my brain was like Killer Clowns from Outer Space

1202
01:00:11,600 --> 01:00:14,880
Speaker 2: or some crazy movie like that, which I love that movie,

1203
01:00:14,880 --> 01:00:17,160
Speaker 2: by the way, But then when I looked it up,

1204
01:00:17,200 --> 01:00:21,320
Speaker 2: it's every single movie. There's list of one hundred movies,

1205
01:00:21,320 --> 01:00:22,920
Speaker 2: and I'm like, oh, I've seen all these movies and

1206
01:00:22,920 --> 01:00:23,400
Speaker 2: they're great.

1207
01:00:23,520 --> 01:00:27,040
Speaker 1: So well, I think it's defined as like a movie

1208
01:00:27,120 --> 01:00:30,800
Speaker 1: that has a niche following but wasn't like you would

1209
01:00:30,880 --> 01:00:33,520
Speaker 1: want to think about Tim Burton movies, right, Like, it's

1210
01:00:33,560 --> 01:00:36,960
Speaker 1: a very niche following, but they don't count because they

1211
01:00:37,000 --> 01:00:39,960
Speaker 1: were like box office hits. So it's these weird, obscure,

1212
01:00:40,360 --> 01:00:44,760
Speaker 1: obscure movies that have niche followings but were not initially hit.

1213
01:00:44,880 --> 01:00:47,040
Speaker 1: So like when I'm thinking of it. I'm thinking of

1214
01:00:47,080 --> 01:00:51,560
Speaker 1: like Malret, Princess Bride, Napoleon Dynamite, like weird artsy movies,

1215
01:00:51,640 --> 01:00:54,520
Speaker 1: you know. Yeah, And I love all those movies, and

1216
01:00:54,600 --> 01:00:58,640
Speaker 1: probably like Hairspray. Yeah, i'd say hairs like that, the

1217
01:00:58,760 --> 01:01:02,080
Speaker 1: original Hairspray, I think, yeah, ye, where Harrishbray was a

1218
01:01:02,120 --> 01:01:05,000
Speaker 1: pretty big box office hit. I would say the most

1219
01:01:05,200 --> 01:01:09,240
Speaker 1: popular now is probably like Big Lebowski, right for us,

1220
01:01:09,280 --> 01:01:12,400
Speaker 1: probably like Rome and Michelle, but things like that.

1221
01:01:13,240 --> 01:01:15,439
Speaker 2: I love Rome and Michelle, and the new one's coming out,

1222
01:01:15,680 --> 01:01:15,960
Speaker 2: you know.

1223
01:01:16,760 --> 01:01:20,360
Speaker 1: I listen, that's cool and everything, but I think they

1224
01:01:20,400 --> 01:01:22,480
Speaker 1: should just stop touching things that are perfect.

1225
01:01:22,600 --> 01:01:24,520
Speaker 2: Wait did you see that a trailer came out for

1226
01:01:24,600 --> 01:01:29,240
Speaker 2: the new Freaky Friday? No? I didn't it, did it does?

1227
01:01:29,400 --> 01:01:31,360
Speaker 2: It's like, e of course it's.

1228
01:01:31,440 --> 01:01:34,800
Speaker 1: Because these movies are I don't know if people that

1229
01:01:34,920 --> 01:01:37,720
Speaker 1: listen would consider Freaky Friday to be great per se,

1230
01:01:37,800 --> 01:01:41,240
Speaker 1: but in our household it was pretty big. So I

1231
01:01:41,280 --> 01:01:42,040
Speaker 1: love that movie.

1232
01:01:42,080 --> 01:01:45,600
Speaker 2: I must. They were saying that that Mean Girls is

1233
01:01:45,600 --> 01:01:48,800
Speaker 2: a cult classic, and I'm like, what this is what?

1234
01:01:48,920 --> 01:01:51,000
Speaker 2: I'm kind of confused because a lot of the movies

1235
01:01:51,000 --> 01:01:54,920
Speaker 2: on there, Like I wrote some down on like kill Bill,

1236
01:01:55,080 --> 01:01:59,680
Speaker 2: which I love. I love like any Tarantino movie, so

1237
01:02:00,200 --> 01:02:02,240
Speaker 2: but I don't know, like I saw it at the

1238
01:02:02,280 --> 01:02:05,320
Speaker 2: movie theater, just I don't I don't consider a cult classic,

1239
01:02:05,320 --> 01:02:08,439
Speaker 2: but I guess it is. Like That's why I think

1240
01:02:08,480 --> 01:02:10,919
Speaker 2: like Killer Clowns from Outer Space is an example, because

1241
01:02:10,960 --> 01:02:14,240
Speaker 2: it's like a low budget, like weird A lot of

1242
01:02:14,240 --> 01:02:16,960
Speaker 2: people haven't heard of it. But then you know, I

1243
01:02:16,960 --> 01:02:17,360
Speaker 2: don't know.

1244
01:02:17,520 --> 01:02:19,760
Speaker 1: When I think of these movies, I think of what

1245
01:02:19,800 --> 01:02:25,200
Speaker 1: you're saying, like low budget, but they're like artsy and

1246
01:02:25,240 --> 01:02:29,160
Speaker 1: they're weird, right, They're not like the you know what's

1247
01:02:29,240 --> 01:02:32,800
Speaker 1: like a big movie. They're not like Barbie Last Year Oppenheimer,

1248
01:02:32,880 --> 01:02:35,240
Speaker 1: like these movies that are designed to be this giant

1249
01:02:35,280 --> 01:02:36,320
Speaker 1: box office.

1250
01:02:36,040 --> 01:02:39,640
Speaker 2: But like so many movies are like that that we watch.

1251
01:02:39,960 --> 01:02:42,560
Speaker 2: But they even had like sixteen candles and stuff on

1252
01:02:42,600 --> 01:02:46,040
Speaker 2: the list, and I'm like, I don't want to put

1253
01:02:46,040 --> 01:02:48,640
Speaker 2: that in that category to me, But maybe I don't know.

1254
01:02:49,280 --> 01:02:51,560
Speaker 1: Yeah, I would agree with you. I think that it's

1255
01:02:51,640 --> 01:02:56,720
Speaker 1: up to interpretation. But I think for me, it's like

1256
01:02:56,800 --> 01:02:59,320
Speaker 1: I love The Big Lebowski. I think that's one of

1257
01:02:59,360 --> 01:03:01,400
Speaker 1: the bigger ones. If you're gonna go with, Yeah.

1258
01:03:01,600 --> 01:03:02,320
Speaker 2: That one's great.

1259
01:03:03,080 --> 01:03:05,880
Speaker 1: I think Princess Brian's pretty big too, though, Like, but

1260
01:03:06,120 --> 01:03:07,960
Speaker 1: was it a huge hit when it first came out.

1261
01:03:08,280 --> 01:03:11,160
Speaker 1: It is such a weird movie.

1262
01:03:11,240 --> 01:03:14,040
Speaker 2: I don't know, I just love I love movies like that.

1263
01:03:14,200 --> 01:03:17,080
Speaker 2: I mean because I like, I really love watching a

1264
01:03:17,120 --> 01:03:21,320
Speaker 2: movie that just has a like a more original idea

1265
01:03:21,400 --> 01:03:25,439
Speaker 2: that hasn't been done before, which is kind of impossible anymore. Yeah,

1266
01:03:25,480 --> 01:03:27,920
Speaker 2: I mean I haven't seen I don't know, Like I'm

1267
01:03:27,920 --> 01:03:30,680
Speaker 2: not a movie connoisseur, but like I don't need to be.

1268
01:03:30,760 --> 01:03:34,840
Speaker 2: I'm a consumer, and like shit's been lame, right, Yeah.

1269
01:03:34,680 --> 01:03:36,920
Speaker 1: I mean, movies definitely have not been as good the

1270
01:03:37,040 --> 01:03:39,760
Speaker 1: last couple of years, but hopefully they'll be on a

1271
01:03:39,840 --> 01:03:40,880
Speaker 1: path to getting better.

1272
01:03:41,160 --> 01:03:43,280
Speaker 2: I think show I read an article the other day

1273
01:03:43,320 --> 01:03:45,320
Speaker 2: that they're just never gonna get better and they were

1274
01:03:45,320 --> 01:03:48,720
Speaker 2: blaming it on COVID a lot, but which, well, listen,

1275
01:03:48,800 --> 01:03:52,240
Speaker 2: I understand that that that's totally a thing, but like

1276
01:03:52,320 --> 01:03:56,520
Speaker 2: I'm just over all of these actors and they're just

1277
01:03:56,600 --> 01:03:59,920
Speaker 2: so self important and like, I don't know, I just

1278
01:04:00,000 --> 01:04:01,640
Speaker 2: I like, back in the day, I think there was

1279
01:04:01,680 --> 01:04:05,080
Speaker 2: so much mystery to famous people that you were just

1280
01:04:05,200 --> 01:04:08,200
Speaker 2: intrigued by their glamorous lifestyle and you didn't really know

1281
01:04:08,640 --> 01:04:10,880
Speaker 2: them as a person but more as an actor. And

1282
01:04:10,920 --> 01:04:13,280
Speaker 2: now all these people talk and you're just like, eh,

1283
01:04:13,360 --> 01:04:16,200
Speaker 2: could you just like there's certain people that I used

1284
01:04:16,240 --> 01:04:18,640
Speaker 2: to love that now I'm like, like, I don't ever

1285
01:04:18,680 --> 01:04:20,760
Speaker 2: want to watch her movie again. You suck so bad,

1286
01:04:20,880 --> 01:04:21,080
Speaker 2: you know?

1287
01:04:21,200 --> 01:04:26,200
Speaker 1: So, yeah, definitely, So it's not helping them, I think though.

1288
01:04:26,280 --> 01:04:29,920
Speaker 1: Another thing they consider is that TV shows used to

1289
01:04:30,080 --> 01:04:33,040
Speaker 1: just be like the sitcoms we used to watch and

1290
01:04:33,040 --> 01:04:36,080
Speaker 1: stuff like that, right, and now TV shows have taken

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01:04:36,120 --> 01:04:38,919
Speaker 1: on this new cinematic element to them, and I think

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01:04:38,960 --> 01:04:42,280
Speaker 1: that's taking away from movies, because why make a two

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01:04:42,320 --> 01:04:45,880
Speaker 1: hour movie when you could make a limited series with

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01:04:46,000 --> 01:04:49,640
Speaker 1: eight episodes and tell the story in a longer form

1295
01:04:50,080 --> 01:04:53,680
Speaker 1: over eight episodes and have it be more compelling, you know? Yeah?

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01:04:53,680 --> 01:04:56,440
Speaker 2: So I think so like when like a lot of times,

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01:04:56,480 --> 01:04:58,440
Speaker 2: you see a movie and you love it so much

1298
01:04:58,480 --> 01:05:01,960
Speaker 2: and then there's never any more it. It's just like that's it,

1299
01:05:02,000 --> 01:05:04,360
Speaker 2: and you never get a sequel and there's never anything

1300
01:05:04,400 --> 01:05:08,320
Speaker 2: else again. And and this too, Like that makes sense

1301
01:05:08,360 --> 01:05:11,360
Speaker 2: that you're saying that reactually because people could just be

1302
01:05:11,600 --> 01:05:14,440
Speaker 2: at like home and their pajamas watching it all the time,

1303
01:05:14,560 --> 01:05:20,040
Speaker 2: and there it's just a sad because the movies used

1304
01:05:20,080 --> 01:05:24,560
Speaker 2: to be so glamorous, but they never really were when

1305
01:05:24,600 --> 01:05:27,120
Speaker 2: I was a kid. But it was packed when I

1306
01:05:27,200 --> 01:05:28,320
Speaker 2: was a kid, though, for sure.

1307
01:05:28,840 --> 01:05:31,080
Speaker 1: Yeah, I think just with shows and stuff, because like

1308
01:05:31,240 --> 01:05:34,240
Speaker 1: I'm I'm watching Severance right now, and I'm just thinking, like,

1309
01:05:34,320 --> 01:05:37,080
Speaker 1: you could never make that type of story into a

1310
01:05:37,120 --> 01:05:40,200
Speaker 1: two hour movie. It just would not cut, like cut

1311
01:05:40,240 --> 01:05:43,080
Speaker 1: the same way, you know, Like some of these shows

1312
01:05:43,400 --> 01:05:46,560
Speaker 1: that I think are some of these movies maybe that

1313
01:05:46,720 --> 01:05:50,400
Speaker 1: are in the process of getting made. I think people

1314
01:05:50,480 --> 01:05:52,760
Speaker 1: realize they'll do bet better as a series as far

1315
01:05:52,800 --> 01:05:55,680
Speaker 1: as storytelling, and you're gonna make so much more money

1316
01:05:55,720 --> 01:05:57,600
Speaker 1: because you're gonna have way more ads to put in,

1317
01:05:58,080 --> 01:05:59,640
Speaker 1: Like you're saying you can have a couple of year

1318
01:05:59,720 --> 01:06:03,040
Speaker 1: run instead of a one off. So I think that's

1319
01:06:03,320 --> 01:06:05,720
Speaker 1: more about why they're being affected so much.

1320
01:06:06,640 --> 01:06:09,560
Speaker 2: It's a bummer because I look, I do look every

1321
01:06:09,600 --> 01:06:11,880
Speaker 2: single weekend and think like, maybe we can go to

1322
01:06:11,960 --> 01:06:14,080
Speaker 2: the movies. And really, the best time when we were

1323
01:06:14,080 --> 01:06:16,200
Speaker 2: going to the movies all the time was during COVID

1324
01:06:16,200 --> 01:06:18,520
Speaker 2: because nothing was coming out and they were playing old

1325
01:06:18,600 --> 01:06:21,720
Speaker 2: movies and they were only charging five dollars a person.

1326
01:06:21,840 --> 01:06:24,120
Speaker 2: Like I took the kids, what did I take them

1327
01:06:24,160 --> 01:06:26,880
Speaker 2: to see recently? I don't even remember what it was.

1328
01:06:28,000 --> 01:06:30,240
Speaker 2: I took them to see, like the four of them,

1329
01:06:30,400 --> 01:06:32,240
Speaker 2: them and their friends or whatever to go see the movie.

1330
01:06:32,240 --> 01:06:35,280
Speaker 2: And it's just like it costs eighty some dollars and

1331
01:06:35,280 --> 01:06:39,480
Speaker 2: that was just for the tickets, Like, like, who wants

1332
01:06:39,520 --> 01:06:41,040
Speaker 2: to who wants to do that?

1333
01:06:41,840 --> 01:06:44,360
Speaker 1: I do because I want the popcorn and the cherry coke.

1334
01:06:44,480 --> 01:06:48,840
Speaker 1: But but when you but it's because it's you, or

1335
01:06:48,880 --> 01:06:51,400
Speaker 1: maybe you and Ricky, but when you start like having

1336
01:06:51,480 --> 01:06:53,960
Speaker 1: kids and then you have to buy it for multiple people.

1337
01:06:54,600 --> 01:06:57,000
Speaker 1: It's nice once in a while, but that's that's not

1338
01:06:57,160 --> 01:06:59,480
Speaker 1: something you can do once a week or a couple

1339
01:06:59,520 --> 01:06:59,960
Speaker 1: times a week.

1340
01:07:00,120 --> 01:07:02,600
Speaker 2: It's just a lot of money. Yeah, you can watch

1341
01:07:02,640 --> 01:07:05,880
Speaker 2: it for whatever at home. I don't know.

1342
01:07:06,160 --> 01:07:08,600
Speaker 1: Ricky actually hates the movies, which really bums me out.

1343
01:07:08,640 --> 01:07:10,800
Speaker 1: I've gone by myself a couple of times, so I'm like,

1344
01:07:10,840 --> 01:07:13,240
Speaker 1: I just have the afternoon to do nothing, and I

1345
01:07:13,280 --> 01:07:15,479
Speaker 1: really want popcorn and coke and I want to watch

1346
01:07:15,480 --> 01:07:19,560
Speaker 1: a movie in silence. All right, Well, thank you guys

1347
01:07:19,600 --> 01:07:22,000
Speaker 1: so much. Please leave us a five star written review

1348
01:07:22,040 --> 01:07:23,920
Speaker 1: on Apple and if you have a story for us,

1349
01:07:23,960 --> 01:07:27,720
Speaker 1: please submit it to stories at Mothernosdeath dot com or

1350
01:07:27,760 --> 01:07:34,160
Speaker 1: send us a message on Instagram say yeah, thank.

1351
01:07:33,960 --> 01:07:37,520
Speaker 2: You for listening to Mother nos Death. As a reminder,

1352
01:07:37,720 --> 01:07:41,520
Speaker 2: my training is as a pathologist assistant. I have a

1353
01:07:41,560 --> 01:07:45,920
Speaker 2: master's level education and specialize in anatomy and pathology education.

1354
01:07:47,040 --> 01:07:49,160
Speaker 2: I am not a doctor and I have not diagnosed

1355
01:07:49,280 --> 01:07:52,920
Speaker 2: or treated anyone dead or alive without the assistance of

1356
01:07:52,960 --> 01:07:58,160
Speaker 2: a licensed medical doctor. This show, my website, and social

1357
01:07:58,200 --> 01:08:01,320
Speaker 2: media accounts are designed to ed educate, and inform people

1358
01:08:01,400 --> 01:08:05,400
Speaker 2: based on my experience working in pathology, so they can

1359
01:08:05,480 --> 01:08:10,160
Speaker 2: make healthier decisions regarding their life and well being. Always

1360
01:08:10,200 --> 01:08:13,240
Speaker 2: remember that science is changing every day and the opinions

1361
01:08:13,280 --> 01:08:16,120
Speaker 2: expressed in this episode are based on my knowledge of

1362
01:08:16,160 --> 01:08:19,880
Speaker 2: those subjects at the time of publication. If you are

1363
01:08:19,920 --> 01:08:24,080
Speaker 2: having a medical problem, have a medical question, or having

1364
01:08:24,120 --> 01:08:28,200
Speaker 2: a medical emergency, please contact your physician or visit an

1365
01:08:28,320 --> 01:08:33,400
Speaker 2: urgent care center, emergency room or hospital. Please rate, review,

1366
01:08:33,520 --> 01:08:37,920
Speaker 2: and subscribe to Mother Knows Death on Apple, Spotify, YouTube,

1367
01:08:38,160 --> 01:08:39,720
Speaker 2: or anywhere you get podcasts.

1368
01:08:40,200 --> 01:08:47,840
Speaker 1: Thanks