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

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

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Speaker 1: the story of the day.

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Speaker 2: We have really tragic, sad news out of DC last night.

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Speaker 2: This was making me sick when you sent me a

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Speaker 2: text about this. So American Airlines Flight fifty three forty

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Speaker 2: two was headed to DC from Wichita, Kansas and as

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Speaker 2: they were preparing to land on the runway, a military

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Speaker 2: helicopter somehow was in the same airspace and crashed into

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Speaker 2: the plane, causing it to go into the Potomac River.

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Speaker 2: And unfortunately, at this time they don't think there's any survivors. Yeah,

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Speaker 2: I mean, they gave up rescue efforts, it even seems

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Speaker 2: in the middle of the night because the water is

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Speaker 2: so cold, it's thirty six degrees and they, i mean,

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Speaker 2: first responders were there so fast and they were able

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Speaker 2: to access some of the people, but unfortunately all of

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Speaker 2: the people that they found were already dead. Not sure

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Speaker 2: exactly what the cause of death is yet at this time,

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Speaker 2: because they're gonna have to do death investigation and autopsies

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Speaker 2: and everything, and there can be different causes of death

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Speaker 2: for the people they don't all have to have the

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Speaker 2: same cause of death. But unfortunately, it's just so freaking

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Speaker 2: scary that I just really couldn't believe.

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Speaker 1: Because when I first heard the news last night, I

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Speaker 1: was watching TV and I saw all the fire trucks

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Speaker 1: in DC, right, So I texted Gabe and just said like, hey,

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Speaker 1: why don't you text your friends because it looks like

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Speaker 1: there's something happened with a plane. And I just was

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Speaker 1: assuming it was like a little personal plane.

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Speaker 2: Well that's how they were first reporting it was it.

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Speaker 2: They just kept saying small plane. So I'm thinking, you know,

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Speaker 2: private plane JFK junior level.

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Speaker 1: Yeah, that's exactly what I was thinking too.

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Speaker 2: But this was a commercial airline with sixty four people

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Speaker 2: on board.

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Speaker 1: Yeah, so I that's what When I said, oh it

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Speaker 1: came from whichitah and it was American Airlines, I was like,

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Speaker 1: what the fuck? This is an actual commuter plane, Like,

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Speaker 1: what the hell? So, I mean, it's crazy because that

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Speaker 1: just doesn't really happen like that. And then when you

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Speaker 1: watch the videos, you just don't understand how it possibly

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Speaker 1: happened because it just looked pretty clear to everyone else

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Speaker 1: that there was a plane right in front of the helicops.

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Speaker 1: I just don't understand it. But we don't really know

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Speaker 1: anything right now except that they've as of right now

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Speaker 1: when we're recording, they have recovered twenty seven bodies from

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Speaker 1: the airplane and one body from the helicopter, and that's

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Speaker 1: all we know. But the plane apparently had sixty four

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Speaker 1: people all together, right, sixty passengers and four crew member. Yeah,

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Speaker 1: and then the helicopter had an additional four people, I believe,

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Speaker 1: So as of this time, they're saying that everyone is

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Speaker 1: presumed dead. I mean, just terrible.

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Speaker 2: Yeah, So, I mean I found I came across this

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Speaker 2: article from CNN from twenty thirteen that they almost had

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Speaker 2: an identical situation happened with a military helicopter and a

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Speaker 2: commercial airline, but at the last second they were able

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Speaker 2: to realize and the flight was able to divert and

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Speaker 2: not get hit by the helicopter. So I think there's

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Speaker 2: a lot of controversy about, you know, how this went down,

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Speaker 2: how did this possibly happen. I was listening to some

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Speaker 2: of the air traffic control calls this morning, and it

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Speaker 2: seems like they only realized that seconds before it happened,

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Speaker 2: and then they had to close the airport last night.

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Speaker 2: I don't even think it opened to eleven today, so

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Speaker 2: it's really scary. And they're saying, now, this is, you know,

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Speaker 2: the deadliest crash since another plane crash that happened right

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Speaker 2: after nine eleven, where this commercial airline crashed into a

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Speaker 2: neighborhood in Queens, where two hundred and sixty five people died.

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Speaker 2: So two hundred and sixty people on board and five

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Speaker 2: people that were in the neighborhood. It's really sickening when

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Speaker 2: you see why don't you remember that when it was

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Speaker 2: right after nine to eleven.

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Speaker 1: That was such a crazy time. I just don't. I

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Speaker 1: mean I was in the heat of going to school

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Speaker 1: and stuff, and maybe I just wasn't paying attention enough

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Speaker 1: to the news. Just like off the top of my head,

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Speaker 1: I just don't even remember. I remember the one that

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Speaker 1: landed on the Hudson, which was crazy, that was insane,

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Speaker 1: But now I kind of remember it now that I'm

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Speaker 1: thinking about it. But it's the whole entire thing is

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Speaker 1: just not said. The aviation accidents are just really messy sometimes.

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Speaker 1: This one, obviously, when we watched the video, you could

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Speaker 1: see there was an explosion and you could see now

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Speaker 1: that it's daytime. You could see pictures of the fuselage

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Speaker 1: in the water, and you could see that there's like

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Speaker 1: a giant hole and mangled up area where the impact

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Speaker 1: took place. But then the rest of the plane is

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Speaker 1: pretty intact. And that's why I say that you might

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Speaker 1: not see the same causes of death in people because

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Speaker 1: from the area of impact you might see injuries like

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Speaker 1: blunt trauma, and even from the explosion you would see

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Speaker 1: different injuries there. But then the people on the other

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Speaker 1: end of the plane that was completely intact, they could

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Speaker 1: have still been seat belted in and submerged underwater, and

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Speaker 1: they could have had a cause of death of drowning

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Speaker 1: or hypothermia because the water was so cold. I mean, honestly,

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Speaker 1: the water was thirty six degrees. The water of the

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Speaker 1: Titanic it was twenty eight. So just think about that.

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Speaker 1: It's not really too far different. And we know how

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Speaker 1: that ended up when people were in the water too long,

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Speaker 1: and it would only take twenty minutes to start feeling

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Speaker 1: hypothermia in that situation, So it's just frickin' terrible.

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Speaker 2: Yeah, Now you know, we're starting to get some identities

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Speaker 2: of people that were on the plane. I don't know

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Speaker 2: if you saw this, but this woman that was on

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Speaker 2: the plane texted her husband and said, we're landing. I

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Speaker 2: guess through the plane.

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Speaker 1: Everybody does that, and that's what I was thinking, Like,

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Speaker 1: think about every single time we pick each other up

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Speaker 1: from the airport or something like that, and you say, okay,

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Speaker 1: look i'm I see the ground, I'll be down in

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Speaker 1: five minutes. I'll call you to come pick me up

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Speaker 1: when I get my luggage or something like. All those

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Speaker 1: people waiting there and essentially they saw it all happening

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Speaker 1: right out the window, you know what I mean.

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Speaker 2: Yeah, it's it's absolutely horrible. Some of the people on

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Speaker 2: board were also there was Russian figure skaters World champions.

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Speaker 2: There was also some US members of the figure skating team.

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Speaker 2: So the Olympic Association has been putting out some you know,

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Speaker 2: just memorials and like kind thoughts about how tragic the

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Speaker 2: loss of these people are. And it's really sad. I mean,

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Speaker 2: they the good thing about technology is that we know

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Speaker 2: every single person that was on that plane based on

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Speaker 2: who checked in, what their boarding passed, right, So they

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Speaker 2: know exactly who they're looking for in these accidents.

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Speaker 1: Yeah, and they know what's and that's why when when

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Speaker 1: they said, I mean there was a couple things that

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Speaker 1: this is what makes me personally think that that there

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Speaker 1: were some people that were just intact and easy to find.

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Speaker 1: Because when you see the plane the tail portion of

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Speaker 1: the plane completely intact like that, it's like the first

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Speaker 1: responders nowhere to go right away. The bodies are there

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Speaker 1: and they're seat belted in and they're very it's very

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Speaker 1: easy for them to go and find them, whereas if

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Speaker 1: it was because sometimes when you see aviation and accidents,

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Speaker 1: they're just so bad and the crash causes just body

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Speaker 1: parts and stuff to be everywhere, and imagine in the water,

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Speaker 1: like they wouldn't be able to find people as easily.

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Speaker 1: So they might even specifically be able to say, like

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Speaker 1: they got this one out of this seat and so forth.

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Speaker 1: But they're going to send all the bodies to the

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Speaker 1: medical Examiner's office to get identified, and that could be

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Speaker 1: a process to depending on how the condition of the bodies.

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Speaker 1: It's just going to take some time, and they probably

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Speaker 1: should do an autopsy on everyone just to see what

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Speaker 1: the cause of death is, especially if their bodies are

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Speaker 1: intact at least, so they could provide death certificates, and

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Speaker 1: of course there's going to be litigation obviously, so I

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Speaker 1: guess we'll just keep updated. I guess next time we

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Speaker 1: record next week, it's just going to be way more detailed,

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Speaker 1: So we'll talk about it some more next week.

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Speaker 2: Yeah, I think, I think we'll have definitely more details

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Speaker 2: over the next couple of weeks. But I mean, investigations

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Speaker 2: like this could take years sometimes to figure out exactly

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Speaker 2: what happened, so it's going to.

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Speaker 1: Be a while.

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Speaker 2: But it's just it's really sad. It may be really

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Speaker 2: sick to think about. I'm sure people that fly regularly

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Speaker 2: have anxiety about it, even though, like plane crashes are

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Speaker 2: pretty rare in the grand scheme of things, but it's unsettling.

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Speaker 1: Someone put a statistic up that was insane actually, that said,

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Speaker 1: since the last plane crash, which was that one you

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Speaker 1: were talking about, I guess there's been And what year

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Speaker 1: was that too?

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Speaker 2: It was two thousand and one, so.

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Speaker 1: It was right after nine to eleven, So since then,

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Speaker 1: there's been like one hundred and fifty million flights. Think

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Speaker 1: about that with no I mean, besides, you know, a

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Speaker 1: door flying off an airplane or a person getting sucked

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Speaker 1: out a window like there there hasn't been a major

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Speaker 1: incident like that well, which is kind of remarkable. Like

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Speaker 1: you did the statistics, like it's very very safe to fly.

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Speaker 1: I think it's important to note too, the last plane

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Speaker 1: crash I was referring to with in Queens was just

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Speaker 1: based on the United States. I mean, there was just

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Speaker 1: two really bad plane incidents in Russia and South Korea.

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Speaker 1: We didn't even cover those. Yeah, because like there's there's

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Speaker 1: so many planes stores. I mean this we could turn

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Speaker 1: this show into like a plane accident show at this point.

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Speaker 1: There's so many stories. But to have three back to

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Speaker 1: back like that is very just like it's very gross

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Speaker 1: to think about, and I don't know, it makes me

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Speaker 1: not won to fly every Do you think it's sus

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Speaker 1: I mean, I think everything Lauren.

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Speaker 2: We were talking to Lauren today, she's all on that shit.

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Speaker 2: I think that, you know, because of how unbelievable it

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Speaker 2: is that this is truly an accident in today's day

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Speaker 2: and age, with all the technology we have, that it's

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Speaker 2: hard not to go into conspiracy theories about it. But

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Speaker 2: I think, like Gabe was saying, there were humans involved,

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Speaker 2: so it just naturally makes error very possible and yeah,

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Speaker 2: and that was another thing he said too. He's just like,

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Speaker 2: let's just wait until more information comes out and we're

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Speaker 2: going to hear that the people on the ground are saying, Oh, this,

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Speaker 2: we knew this was going to happen. We've had near

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Speaker 2: misses before that we didn't even hear about, Like you

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Speaker 2: were talking about earlier, that there was a near miss

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Speaker 2: at you know when was that a couple.

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Speaker 1: Of years or twenty twenty thirteen, But like we might

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Speaker 1: not really hear about all. You know, more stuff will

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Speaker 1: come out for sure, but let's let's get into We

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Speaker 1: don't really have much in celebrity news, but I thought

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Speaker 1: this story was kind of fun.

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Speaker 2: No, I think this story is pretty good. So this

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Speaker 2: chick posted on TikTok calling out actors who are in

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Speaker 2: period pieces that have obvious cosmetic procedures, you know, like

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Speaker 2: botox fillers, preston plants, things like that, and just saying,

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Speaker 2: if you're gonna like you shouldn't even be making it

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Speaker 2: past the audition because it totally removes you from the story.

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Speaker 2: And I really agree with this, but like.

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Speaker 1: How are you going to find an actress that doesn't

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Speaker 1: have all this stuff? It's just kind of like, well,

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Speaker 1: I one particular example, which I am sorry to slam

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Speaker 1: this actress because I think she's a pretty good actress,

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Speaker 1: But there's this chick in nineteen twenty three.

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Speaker 2: She was also in Landman. Her name's escaping me at

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Speaker 2: the moment, but she has a lot of fillers that

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Speaker 2: are so obvious that you're looking at this woman that's

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Speaker 2: supposed to be in nineteen twenty three and you're like, okay,

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Speaker 2: Like she looks absolutely nothing like anybody that was alive

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Speaker 2: in nineteen twenty three. I think every actor, for the

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Speaker 2: most part, has both hawks and fillers and everything, but

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Speaker 2: there are actors that don't have as much that it's

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Speaker 2: not as obvious. And I think some shows do a

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Speaker 2: really good job with this, Like The Gilded Age is

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Speaker 2: a more recent period piece, and I think most of

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Speaker 2: the main actors in that show have the subtle work done,

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Speaker 2: but it's not as blatantly obvious as other ones.

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Speaker 1: You know what's kind of interesting, which might be a

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Speaker 1: totally you might not even think that this is relevant,

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Speaker 1: but Gabe, when we were doing our family movie night,

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Speaker 1: he picked Brewsters millions. Have you ever seen it? It's

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Speaker 1: from the eighties. I don't even feel like explaining the plot.

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Speaker 2: But it's an age.

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Speaker 1: It's just it's an eighties movie and Richard pryor John Candy.

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Speaker 1: But I noticed that the women in the in the

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Speaker 1: movie just looked very old. And I know that they're

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Speaker 1: my age, but like now, when you look around at

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Speaker 1: people that are forty five years old, like they just

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Speaker 1: don't look that old. You know, they don't have wrinkled

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Speaker 1: like for the most part, because so many people get

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Speaker 1: botox and fillers and things like that. Like it's just

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Speaker 1: like that's the way it is right now with all actresses.

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Speaker 1: I mean you just and some of them are just

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Speaker 1: so extreme. I mean people are getting surgeries and stuff.

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Speaker 1: And look at people like j Low and Demi Moore

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Speaker 1: and stuff, like these people aren't They're like one hundred

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Speaker 1: years old and they look they look like incredible, you

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Speaker 1: know what I mean. Like it's because of all the

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Speaker 1: work they gets one so I think finding an actress

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Speaker 1: like that is unrealistic, but it is. It is interesting though,

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Speaker 1: because you know that there's actors all the time that

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Speaker 1: they do these extreme things to their bodies to get roles,

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Speaker 1: like gain a lot of weight or lose a lot

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Speaker 1: of weight or or you know, to really fit in

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Speaker 1: the role. And I could see what the girl was

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Speaker 1: saying in the article basically like, you're watching this and

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Speaker 1: you don't really feel like you could get fully immersed

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Speaker 1: because you're like, oh my god, that girl has had

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Speaker 1: a Brazilian butt lift or something.

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Speaker 2: You know. Well, I think it's more. I think it's

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Speaker 2: unrealistic to not get an actor in today's Dane's it

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Speaker 2: doesn't have any work done. But I really am going

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Speaker 2: to stick to my guns about the Some people definitely

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Speaker 2: go really overboard, and it's extremely obvious that they've had

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Speaker 2: all that work done. So I do think if you're

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Speaker 2: taking the time and all the extra money it takes

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Speaker 2: to make a period authentic television show, and you're making

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Speaker 2: sure the costumes and the props and the hair and

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Speaker 2: the makeup are all extremely accurate, you can't have somebody

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Speaker 2: that very clearly has lip injections like really Veneers, Well yeah,

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Speaker 2: and Veneers. I feel like, you know, you could definitely

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Speaker 2: argue that, but it's not even as blatantly obvious. But

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Speaker 2: I don't know, I think it is kind of stupid

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Speaker 2: when you're taking all the time to make every other

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Speaker 2: component of the show incredibly historically accurate, and then you

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Speaker 2: have this person that looks absolutely nothing like a person

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Speaker 2: at the time, when there are people that exist that

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Speaker 2: could look like that.

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Speaker 1: But but the thing is to their defense, like how

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Speaker 1: do you really know what a person of the time

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Speaker 1: looked like, especially once like pre photograph, Like you kind

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Speaker 1: of don't really know? Well you don't, but I mean,

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Speaker 1: like you, for example, I think that you have really

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Speaker 1: good teeth, and I don't, no, you do, like because

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Speaker 1: I'm gonna explain this, like you'd ever had braces and

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Speaker 1: we never whiten your teeth and you don't have veneers,

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Speaker 1: so your teeth like in theory, if you were around

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Speaker 1: in the seventeen or eighteen hundreds, your teeth would have

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Speaker 1: looked like that. Like there's people that have nice teeth.

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Speaker 2: Well that's why the veneers.

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Speaker 1: I mean, I guess, I guess it's different because like

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Speaker 1: we have toothpaste and everything like that. But still there

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Speaker 1: were people that had nice teeth. It was just like

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Speaker 1: not it might not have been as common obviously because

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Speaker 1: oral healthcare wasn't as much of a thing, but you

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Speaker 1: know what I'm saying, there's and there's also people that

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Speaker 1: were it might have been older that didn't have as

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Speaker 1: many wrinkles because you know, skincare and everything's been a

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Speaker 1: thing forever, and there's people that always have been trying

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Speaker 1: to not look older and everything. But I get what

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Speaker 1: you're saying. They're like the and and like a Christy

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Speaker 1: Tigan type that just looks like well, that's what I'm

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Speaker 1: talking about. Nature like people like her that have there

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Speaker 1: are doesn't even look like a human being. There's like you.

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Speaker 2: For me, it catches my eye that you just look

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Speaker 2: and you're like, WHOA like when I look at you,

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Speaker 2: for example, I don't I don't think it's blatantly obvious

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Speaker 2: that you have botox right like you get to do.

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Speaker 1: Thanks doctor Dmitri. If anyone lives in the South Jersey

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Speaker 1: Philadelphia area, please go to a med spat at RIZERI

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Speaker 1: because doctor Dimitri is the best.

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Speaker 2: So but you continue small plug there for him. You've

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Speaker 2: been getting injections forgive or take twenty years. Correct about that,

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Speaker 2: because yeah, okay, but listen to my defense. I didn't

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Speaker 2: I didn't actively seek it out. One day I was

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Speaker 2: I was twenty I was twenty seven years old, and

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Speaker 2: I was working in the hospital. And then one of

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Speaker 2: the pathologists who happens to be like this. She was

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Speaker 2: a little bit older than me, but like a hot chick, right.

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Speaker 2: She was a dermatic pathologist. So she did skin too,

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Speaker 2: and she came up to me and she was like,

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Speaker 2: you have a wrinkle in between she was she was

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Speaker 2: polish too, right, which which she looks at me and

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Speaker 2: she's like, because we're part polish too, And she's like,

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Speaker 2: you have a little wrinkle in between your forehead. You

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Speaker 2: should go get botox. I'll send you across the street.

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Speaker 2: This is over to dermatology and they'll they'll do it

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Speaker 2: for free for you. And I was like, okay, thanks.

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Speaker 2: I didn't ever I didn't ever think about it, but okay.

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Speaker 2: And that was I mean, that was when it wasn't

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Speaker 2: just as popular as it. She's like, yeah, they just

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Speaker 2: put an injection in your forehead and it makes it

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Speaker 2: so you can't Like, as I'm talking about this, my

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Speaker 2: eye is twitching so bad. It's like not a good

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Speaker 2: it's not a good sales point for botox. Like my

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Speaker 2: eyes all like, my eye has been twitching the last

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Speaker 2: three months. I can't stop it.

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Speaker 1: So anyway, side notes, So so yeah, so she just said, oh,

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Speaker 1: they just put something in your forehead it and it

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Speaker 1: paralyzes your muscle. And the funniest part is so I

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Speaker 1: go and get it done. And then a couple of

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Speaker 1: days later, I was sitting in the office with Andre

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Speaker 1: who was one of the other pas, and he was

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Speaker 1: a Russian guy, and he was just like he was

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Speaker 1: so funny, but like not intentionally funny, and he was

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Speaker 1: like staring at me, and I was like, what are

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Speaker 1: you looking at, dude, And he's.

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Speaker 2: Like, I don't, oh, just you look different.

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Speaker 1: And I was like okay, and I didn't even think

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Speaker 1: about it, like I forgot that I had the botox enough,

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Speaker 1: and he was like, it.

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Speaker 2: Looks good though, it's just different.

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Speaker 1: So so but from then on I was like a

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Speaker 1: hardcore okay, I'm doing this, but I didn't have it.

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Speaker 1: I didn't get it for years though, because I didn't

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Speaker 1: get it the entire time I was pregnant and breastfeeding,

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Speaker 1: so that was like a period of three and a

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Speaker 1: half years, you know what I mean. Yeah, I didn't

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Speaker 1: get it at all.

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Speaker 2: My point is you're forty five years old. I look

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Speaker 2: at you, and you look good, and you don't look

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Speaker 2: like you've had work done. I look at some other

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Speaker 2: like celebrities and influencers and stuff that I know for

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00:19:32,119 --> 00:19:34,320
Speaker 2: a fact have been open about getting them done. But

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Speaker 2: it's not blatantly obvious. So I think there is a

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Speaker 2: way to go about it where you just get people

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Speaker 2: that aren't like the Chrissy Taguan types that have so

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Speaker 2: overboard had it done.

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Speaker 1: So I well, I go because when I go to

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Speaker 1: doctor Dimitri, I'm always just like I just want like

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Speaker 1: the bare minimum, and I want to look like myself.

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Speaker 1: I don't ever go in there and say, like I

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Speaker 1: think think that's part of the thing is that people

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Speaker 1: go in there with pictures. I want to look like

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Speaker 1: this person like no, you know what I mean. I'm

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Speaker 1: just kind of like this thing is sagging and like

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Speaker 1: make it go away kind of thing, you know.

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Speaker 2: And listen, that actress from nineteen twenty three is dropped

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Speaker 2: a gorgeous She is a beautiful woman. She doesn't look

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Speaker 2: like she lives in nineteen twenty three, And I'm sure

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Speaker 2: there's other actors that could have fulfilled the role. And

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Speaker 2: I'm just using that show as an example because it's

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Speaker 2: the most fresh in my mind. But I think this

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Speaker 2: is a more recent problem because even if you go

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Speaker 2: back to like Deadwood or Madman or something. People were

387
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Speaker 2: getting both acts at the time, but it wasn't as

388
00:20:36,200 --> 00:20:39,399
Speaker 2: obvious because people weren't going so overboard with it, so

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Speaker 2: you could have these actors that looked pretty authentic to

390
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Speaker 2: the time.

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Speaker 1: That is so good. I fucking love that show.

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Speaker 2: It's far the best shows.

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Speaker 1: We need to move on because we have a lot

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Speaker 1: of good stories.

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Speaker 2: But I've said my piece, don't yes spend all your

396
00:20:54,480 --> 00:20:56,640
Speaker 2: time making it authentic if you're not really gonna take

397
00:20:56,680 --> 00:21:01,560
Speaker 2: all the steps freak accidents. This is truly unbelievable. You

398
00:21:01,640 --> 00:21:05,639
Speaker 2: thought this story was AI. So at its aquarium in China,

399
00:21:05,720 --> 00:21:08,879
Speaker 2: they have these aquatic performers who go in tanks and

400
00:21:08,960 --> 00:21:11,280
Speaker 2: dress like mermaids, which they do in.

401
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Speaker 1: Our country too, So that wasn't the part that I

402
00:21:13,680 --> 00:21:15,600
Speaker 1: thought was AI. But continue, No, the.

403
00:21:15,600 --> 00:21:19,000
Speaker 2: Video looks crazy, but this performer's in the tank doing

404
00:21:19,040 --> 00:21:21,680
Speaker 2: her thing, swimming around, and this giant fish comes over

405
00:21:21,680 --> 00:21:25,000
Speaker 2: to her and suddenly bites her head, Like her whole

406
00:21:25,160 --> 00:21:27,880
Speaker 2: entire head goes in the fish's mouth and her head

407
00:21:27,920 --> 00:21:31,000
Speaker 2: snaps in a weird way. So I saw the video

408
00:21:31,119 --> 00:21:33,840
Speaker 2: on Instagram, but it was like it was late last

409
00:21:33,920 --> 00:21:35,919
Speaker 2: night and I didn't have the volume on and I

410
00:21:36,000 --> 00:21:37,640
Speaker 2: was just I watched it and I was like, oh,

411
00:21:37,640 --> 00:21:39,720
Speaker 2: that's Ai and I scrolled through it, and then Maria

412
00:21:39,760 --> 00:21:42,359
Speaker 2: sent me an article like, no, this is a real

413
00:21:42,880 --> 00:21:44,120
Speaker 2: this is a real story.

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Speaker 1: I just I can't even believe it.

415
00:21:46,000 --> 00:21:50,600
Speaker 2: It's nuts looking, it's really crazy. You know, it just

416
00:21:50,640 --> 00:21:53,400
Speaker 2: gets worse because you know, she was able to quickly

417
00:21:53,440 --> 00:21:55,959
Speaker 2: free herself swim to the surface, and then her boss

418
00:21:56,040 --> 00:21:59,040
Speaker 2: was basically like, get back down there and don't say anything.

419
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Speaker 1: Like Ira Banks on America's Next Top Model, Like you

420
00:22:04,400 --> 00:22:06,480
Speaker 1: smile even though you have the flu and you're dying,

421
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Speaker 1: Like you go down there and you put a face on.

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Speaker 2: You know. I've rewatched that show in recent years, which

423
00:22:12,400 --> 00:22:14,840
Speaker 2: that was one of our favorites when like added to

424
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Speaker 2: the list of shows they probably shouldn't have been watching

425
00:22:17,200 --> 00:22:21,640
Speaker 2: it at inappropriately young age. But that show's really fucked up.

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Speaker 1: I see clips of it from time to time on Instagram.

427
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Speaker 1: There's always these clips that are like, oh, this is

428
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Speaker 1: what women in the nineties were dealing with, and it's

429
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Speaker 1: just like all of these clips of them saying that

430
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Speaker 1: people are fat, and they're just like they're like a

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Speaker 1: size eight.

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Speaker 2: Yeah, not even like like a size four. Yeah.

433
00:22:39,920 --> 00:22:42,560
Speaker 1: Yeah, Like it's just so it's so outrage it's Johannis

434
00:22:42,600 --> 00:22:45,280
Speaker 1: Dickinson was a big one that was telling people that

435
00:22:45,280 --> 00:22:46,480
Speaker 1: they were fat all the time.

436
00:22:46,840 --> 00:22:51,760
Speaker 2: One time at my internship in New York, one of

437
00:22:51,800 --> 00:22:54,640
Speaker 2: the fashion editors got a pair of jeans that were

438
00:22:54,640 --> 00:22:58,040
Speaker 2: a size four as a gift, and she threw them

439
00:22:58,040 --> 00:23:00,840
Speaker 2: in the room and was like, I'm women in these.

440
00:23:00,960 --> 00:23:04,159
Speaker 2: Somebody take them. And I'm like, I would die to

441
00:23:04,200 --> 00:23:05,080
Speaker 2: be a size for.

442
00:23:06,200 --> 00:23:08,760
Speaker 1: I'd be I'd die to be swimming in a size twelve.

443
00:23:08,960 --> 00:23:14,679
Speaker 2: I Like, it's like unbelievable. But yeah, And she was

444
00:23:14,720 --> 00:23:17,560
Speaker 2: like an assistant editor too, not even a main editor.

445
00:23:17,600 --> 00:23:20,960
Speaker 2: So I'm like, you're really snobby for your job.

446
00:23:21,000 --> 00:23:23,840
Speaker 1: But I haven't been a size for since like second grade,

447
00:23:23,880 --> 00:23:26,919
Speaker 1: for real, I'm not lying to Like that's that's truth.

448
00:23:27,240 --> 00:23:29,399
Speaker 1: So all right, we're getting very side tracked today. So

449
00:23:29,920 --> 00:23:31,840
Speaker 1: they gave you a hundred dollars and we're like, shut

450
00:23:31,960 --> 00:23:35,080
Speaker 1: up and this. So I was trying to find out

451
00:23:35,080 --> 00:23:37,480
Speaker 1: what kind of fish this is, because this thing isn't

452
00:23:37,520 --> 00:23:40,960
Speaker 1: like it's it's like a shark sized fish. It's a

453
00:23:41,040 --> 00:23:44,440
Speaker 1: huge fish. But and I couldn't find it. It just

454
00:23:44,480 --> 00:23:47,680
Speaker 1: said that they have rare fish in this aquarium. Thingful,

455
00:23:48,600 --> 00:23:50,280
Speaker 1: but I was trying to see if it had I

456
00:23:50,480 --> 00:23:53,119
Speaker 1: don't think it had teeth. It just was crazy that

457
00:23:53,200 --> 00:23:55,880
Speaker 1: this whole entire thing like engulfed her head and then

458
00:23:56,160 --> 00:23:57,720
Speaker 1: spit it out quite quickly.

459
00:23:58,200 --> 00:24:00,960
Speaker 2: It really just looked like she had a black guy

460
00:24:01,440 --> 00:24:03,960
Speaker 2: from the injury. It said she got neck, head, and

461
00:24:04,040 --> 00:24:07,280
Speaker 2: eye injuries from the bite, but she seemed to be okay.

462
00:24:07,760 --> 00:24:09,960
Speaker 1: I think too, that she was wearing goggles and the

463
00:24:10,000 --> 00:24:13,320
Speaker 1: thing knocked the goggles off, and I think that the fish,

464
00:24:13,640 --> 00:24:16,560
Speaker 1: just the goggles pushing against her face is actually probably

465
00:24:16,600 --> 00:24:18,960
Speaker 1: what cut her face. I totally could see she had

466
00:24:19,000 --> 00:24:21,160
Speaker 1: neck injuries because it looked like she had whiplash after

467
00:24:21,200 --> 00:24:26,400
Speaker 1: the thing like spit her head out. But I don't know,

468
00:24:26,520 --> 00:24:28,880
Speaker 1: like I I just don't even know what to say

469
00:24:28,880 --> 00:24:31,080
Speaker 1: about it, you know what I mean? You know, like

470
00:24:31,160 --> 00:24:33,159
Speaker 1: I'm a I know you wear glasses too, but I'm

471
00:24:33,200 --> 00:24:36,560
Speaker 1: a glasses wear and when people hit my glasses against

472
00:24:36,560 --> 00:24:38,919
Speaker 1: my face, it just it hurts so bad. And I

473
00:24:39,000 --> 00:24:41,720
Speaker 1: always get a bruise just because of the anatomy, and

474
00:24:41,720 --> 00:24:46,320
Speaker 1: there's not really much subcutaneous tissue with the hard plastic

475
00:24:46,480 --> 00:24:49,360
Speaker 1: pushing against your face. So well, somebody hits a pair

476
00:24:49,400 --> 00:24:51,400
Speaker 1: of goggles that like would bruise you.

477
00:24:51,400 --> 00:24:54,320
Speaker 2: You know, well, your glasses are basically goggles. You only

478
00:24:54,359 --> 00:24:57,440
Speaker 2: wear like extremely thick ones. So I wear really thin ones,

479
00:24:57,480 --> 00:24:59,959
Speaker 2: and even if they do hit my face, they're not

480
00:25:00,160 --> 00:25:04,159
Speaker 2: nearly as painful. But another ridiculous story that happened in

481
00:25:04,160 --> 00:25:07,200
Speaker 2: Brazil was this OnlyFans model was filming a threesome on

482
00:25:07,240 --> 00:25:10,280
Speaker 2: a hotel balcony and somehow slipped over the edge and

483
00:25:10,440 --> 00:25:11,280
Speaker 2: fell to her death.

484
00:25:13,080 --> 00:25:16,760
Speaker 1: I don't I don't know how this happened, but so

485
00:25:16,840 --> 00:25:18,760
Speaker 1: I guess they're going to do an autopsy on the

486
00:25:18,760 --> 00:25:22,800
Speaker 1: girl to see because there's there's just all these questions

487
00:25:22,840 --> 00:25:25,200
Speaker 1: like is this really what happened because you have two

488
00:25:25,280 --> 00:25:27,359
Speaker 1: men that are on a balcony and something and they're

489
00:25:27,400 --> 00:25:29,879
Speaker 1: having sex with a woman who ends up on the ground.

490
00:25:29,960 --> 00:25:33,960
Speaker 2: Well, they also reportedly gave conflicting reports of what happened,

491
00:25:34,000 --> 00:25:37,600
Speaker 2: so it's not looking good for them. So they're doing

492
00:25:37,640 --> 00:25:40,160
Speaker 2: an investigation to see if it was truly an accident

493
00:25:40,359 --> 00:25:42,399
Speaker 2: or if one of them pusher or something.

494
00:25:42,520 --> 00:25:46,480
Speaker 1: Yeah, I mean, they'll they'll look for evidence of sexual assault,

495
00:25:46,960 --> 00:25:50,600
Speaker 1: but like I don't know how you would prove that

496
00:25:50,640 --> 00:25:53,399
Speaker 1: in this kind of case. Like normally you don't get

497
00:25:53,760 --> 00:25:57,600
Speaker 1: certain injuries if there's very like rough four sex and

498
00:25:57,640 --> 00:26:00,959
Speaker 1: stuff like that, but this, I mean, woman was an

499
00:26:00,960 --> 00:26:03,720
Speaker 1: only Fans model and apparently she said that she was

500
00:26:04,359 --> 00:26:07,760
Speaker 1: doing this threesome. Well it wasn't the first, so they

501
00:26:07,800 --> 00:26:10,359
Speaker 1: have it on they had yeah record, so I and

502
00:26:10,359 --> 00:26:12,760
Speaker 1: and like if you're having sex with two different guys

503
00:26:12,800 --> 00:26:15,199
Speaker 1: like that, like you're gonna get more torn up than

504
00:26:15,240 --> 00:26:18,639
Speaker 1: you normally do. Probably, Like I don't know about that,

505
00:26:18,680 --> 00:26:22,400
Speaker 1: but I guess they have like surveillance that they're gonna

506
00:26:22,400 --> 00:26:24,560
Speaker 1: look at and see if they could figure out what happened.

507
00:26:24,600 --> 00:26:27,240
Speaker 2: But I don't think they're necessarily looking into if she

508
00:26:27,359 --> 00:26:29,600
Speaker 2: was sexually assaulted. I think they're seeing if they push

509
00:26:29,600 --> 00:26:30,479
Speaker 2: her over the edge.

510
00:26:30,920 --> 00:26:33,360
Speaker 1: Well they want to see if it was a sexual

511
00:26:33,400 --> 00:26:36,200
Speaker 1: crime or not. Though that's I mean, you know what

512
00:26:36,240 --> 00:26:38,920
Speaker 1: I mean, if it was involved with that, I don't know.

513
00:26:39,000 --> 00:26:42,439
Speaker 1: But it's the sad part is is that she has

514
00:26:42,480 --> 00:26:43,680
Speaker 1: a kid.

515
00:26:44,359 --> 00:26:48,360
Speaker 2: Yeah, and I'm like, it just seems it's totally unnecessary.

516
00:26:48,600 --> 00:26:51,960
Speaker 1: Yeah, it's just it's just like senseless, and like what

517
00:26:52,080 --> 00:26:54,120
Speaker 1: was she like bent over the side of the edge.

518
00:26:54,200 --> 00:26:56,400
Speaker 1: Like they didn't really give any details. I'm just trying

519
00:26:56,400 --> 00:26:59,960
Speaker 1: to figure out how that even happened. I really don't know,

520
00:27:00,200 --> 00:27:02,679
Speaker 1: because like you're saying, like dead ass naked on the

521
00:27:02,680 --> 00:27:04,960
Speaker 1: ground below, Like no, she.

522
00:27:05,000 --> 00:27:07,280
Speaker 2: Might have been wearing some lingerie or something. You don't

523
00:27:07,320 --> 00:27:10,159
Speaker 2: really know the details of it. But yeah, I'll be

524
00:27:10,240 --> 00:27:12,240
Speaker 2: interested to see what they find and if they have

525
00:27:12,359 --> 00:27:14,639
Speaker 2: the entire thing recorded, and if they could prove that

526
00:27:15,440 --> 00:27:18,440
Speaker 2: it was done intentionally or not, because it's it's weird

527
00:27:18,480 --> 00:27:21,960
Speaker 2: that they're giving different stories about what happened, unless they're

528
00:27:22,000 --> 00:27:23,800
Speaker 2: just really flustered and they can't wrap up.

529
00:27:23,840 --> 00:27:26,480
Speaker 1: Also, like they could be married, Like there's a lot

530
00:27:26,480 --> 00:27:28,919
Speaker 1: of other things that could go on. It's kind of

531
00:27:28,960 --> 00:27:31,600
Speaker 1: embarrassing to say you were having a threesome with somebody

532
00:27:31,680 --> 00:27:33,240
Speaker 1: and they died or you know what I mean.

533
00:27:33,320 --> 00:27:35,280
Speaker 2: Like she had a boyfriend, but I don't know if

534
00:27:35,280 --> 00:27:37,119
Speaker 2: he was one of the participants.

535
00:27:37,720 --> 00:27:39,639
Speaker 1: I'm saying, like the guys could have been married, and

536
00:27:39,680 --> 00:27:40,920
Speaker 1: they don't you know what I mean, Like.

537
00:27:40,880 --> 00:27:44,400
Speaker 2: Oh, yeah, I don't. I don't know, But it's they're

538
00:27:44,440 --> 00:27:47,280
Speaker 2: planning on publishing, well, they were going to plan and

539
00:27:47,320 --> 00:27:49,960
Speaker 2: publish it, So I guess the police are just gonna

540
00:27:49,960 --> 00:27:52,000
Speaker 2: hold onto that and try to figure out what happened.

541
00:27:53,040 --> 00:27:55,159
Speaker 2: All right, In Vietnam, this twenty four year old went

542
00:27:55,200 --> 00:27:58,320
Speaker 2: to his local medical center and complained of swelling. And

543
00:27:58,480 --> 00:28:01,640
Speaker 2: I don't understand this, but they were loosely monitoring him

544
00:28:01,680 --> 00:28:03,840
Speaker 2: for three weeks and couldn't figure out what was going on.

545
00:28:05,040 --> 00:28:06,640
Speaker 2: Doesn't that seem like a long time?

546
00:28:06,800 --> 00:28:09,879
Speaker 1: Yeah, I couldn't really. I couldn't really figure out what

547
00:28:10,040 --> 00:28:15,080
Speaker 1: happened either. But apparently the guy was drunk and hanging

548
00:28:15,119 --> 00:28:19,080
Speaker 1: out with his friend and had a chopstick in his

549
00:28:19,359 --> 00:28:23,600
Speaker 1: nose I don't know why, and bumped into his friend

550
00:28:23,680 --> 00:28:26,680
Speaker 1: and then the chopstick ended up perforating through his nose

551
00:28:26,760 --> 00:28:31,880
Speaker 1: and getting and like breaking off inside of behind his eye,

552
00:28:31,920 --> 00:28:34,800
Speaker 1: like within his sinus, like close to his brain.

553
00:28:34,960 --> 00:28:38,240
Speaker 2: But he like didn't realize this happened and just realized

554
00:28:38,280 --> 00:28:40,120
Speaker 2: the next day. Is I hurt?

555
00:28:40,920 --> 00:28:43,640
Speaker 1: The only thing I could think is that the chop

556
00:28:43,720 --> 00:28:47,080
Speaker 1: because what happened was a it's not an entire chopstick,

557
00:28:47,120 --> 00:28:50,120
Speaker 1: it's the piece of the chopstick. So maybe he didn't

558
00:28:50,200 --> 00:28:54,560
Speaker 1: realize that a piece of it pushed up and broke off,

559
00:28:54,640 --> 00:28:57,120
Speaker 1: so when he pulled it out, he didn't realize it

560
00:28:57,160 --> 00:28:59,080
Speaker 1: was shorter than it was when he put it up there.

561
00:29:01,000 --> 00:29:04,360
Speaker 1: That's all I could think of. I just like imagine

562
00:29:04,760 --> 00:29:07,960
Speaker 1: taking care of a patient that's complaining about having eyes

563
00:29:08,120 --> 00:29:10,280
Speaker 1: swelling and post coming out of the corner of their

564
00:29:10,320 --> 00:29:13,560
Speaker 1: eye and not knowing like this other half of the story,

565
00:29:13,600 --> 00:29:16,720
Speaker 1: and doing imaging and finding that there's a frickin' chopstick

566
00:29:16,760 --> 00:29:20,280
Speaker 1: embedded in their head. It's just snus.

567
00:29:21,000 --> 00:29:23,800
Speaker 2: I guess, like where I just get confused about this

568
00:29:23,880 --> 00:29:26,960
Speaker 2: story is that he said he was he sought treatment

569
00:29:27,240 --> 00:29:29,800
Speaker 2: seemingly pretty quickly, and that he was getting monitored for

570
00:29:29,880 --> 00:29:33,320
Speaker 2: three weeks before they did any scans. Doesn't that just

571
00:29:33,320 --> 00:29:34,480
Speaker 2: seem like a long time?

572
00:29:35,000 --> 00:29:39,520
Speaker 1: This is this is another possible scenario. Maybe he said

573
00:29:40,880 --> 00:29:44,640
Speaker 1: at the first healthcare clinic that he had a chopstick

574
00:29:44,720 --> 00:29:49,040
Speaker 1: up his nose and he bumped into his friend, and

575
00:29:49,080 --> 00:29:52,360
Speaker 1: then maybe when they did an external examination and looked

576
00:29:52,400 --> 00:29:55,520
Speaker 1: up his nose, they they thought, Okay, there was some

577
00:29:55,680 --> 00:29:57,680
Speaker 1: charm on the inside of the nose, like that's why

578
00:29:57,720 --> 00:30:00,760
Speaker 1: he's feeling this pain, Like it pushed up to like

579
00:30:00,800 --> 00:30:03,080
Speaker 1: if you stick a chop stick in your nose right now,

580
00:30:03,080 --> 00:30:05,400
Speaker 1: it's eventually going to stop, but if you push it

581
00:30:05,400 --> 00:30:07,720
Speaker 1: hard enough, it's going to keep going, you know what

582
00:30:07,800 --> 00:30:11,200
Speaker 1: I mean. So maybe that was it, and they were like, oh,

583
00:30:11,200 --> 00:30:15,040
Speaker 1: we're just treating this wound, like and listen. I feel

584
00:30:15,040 --> 00:30:18,560
Speaker 1: like if this this was not in America, correct.

585
00:30:18,760 --> 00:30:20,840
Speaker 2: It was in Vietnam.

586
00:30:20,960 --> 00:30:23,640
Speaker 1: Yeah, Like, I just feel like if you went into

587
00:30:23,680 --> 00:30:27,320
Speaker 1: an emergency room and gave that story, they would probably

588
00:30:27,440 --> 00:30:31,520
Speaker 1: here be like, let's do imaging and see what's happening. Yeah,

589
00:30:31,520 --> 00:30:35,200
Speaker 1: but like sometimes I don't know what's happening at other places,

590
00:30:35,560 --> 00:30:38,080
Speaker 1: but I'm thinking that that could be what it is.

591
00:30:38,720 --> 00:30:42,760
Speaker 1: And when he kept having symptoms that were the pain

592
00:30:43,360 --> 00:30:45,200
Speaker 1: kept being there, and then he started having that weird

593
00:30:45,200 --> 00:30:47,240
Speaker 1: symptom of pus coming out of the corner of his eye,

594
00:30:47,280 --> 00:30:49,800
Speaker 1: then they were like, okay, something he has an infection,

595
00:30:49,960 --> 00:30:53,720
Speaker 1: Like let's check this out. Yeah, I mean, that's the

596
00:30:53,760 --> 00:30:56,600
Speaker 1: only thing that could happened. And it's crazy because the

597
00:30:56,600 --> 00:30:59,840
Speaker 1: way that it went up. It's in his sinus, which

598
00:30:59,840 --> 00:31:04,160
Speaker 1: is normally a sterile spot, right, but because the chopstick,

599
00:31:04,640 --> 00:31:08,160
Speaker 1: it was a dirty like used chopstick that he ate with,

600
00:31:08,240 --> 00:31:11,040
Speaker 1: so it had like food and bacteria from his mouth

601
00:31:11,080 --> 00:31:14,400
Speaker 1: on it. You're introducing germs that aren't normally there and

602
00:31:14,440 --> 00:31:16,720
Speaker 1: it created an infection and that's where the pus was

603
00:31:16,720 --> 00:31:19,680
Speaker 1: coming from. But it like luckily it didn't disturb his

604
00:31:19,800 --> 00:31:21,560
Speaker 1: vision at all. It just was like in this weird

605
00:31:21,800 --> 00:31:23,400
Speaker 1: space of the sinus.

606
00:31:24,160 --> 00:31:27,040
Speaker 2: I just whenever we cover stories like this, when things

607
00:31:27,080 --> 00:31:29,480
Speaker 2: are you know, stuck up, people's nose are near their brains,

608
00:31:29,520 --> 00:31:32,360
Speaker 2: I can't understand how they survive it. And it's like, oh,

609
00:31:32,480 --> 00:31:35,080
Speaker 2: simply he just got surgery and got antibiotics, and that

610
00:31:35,240 --> 00:31:38,480
Speaker 2: was that. There's a lot of different spaces that you

611
00:31:38,520 --> 00:31:41,640
Speaker 2: could fit things at just the right angle that you

612
00:31:41,680 --> 00:31:52,680
Speaker 2: don't hit any vital structures, and this is one. This

613
00:31:52,720 --> 00:31:54,680
Speaker 2: episode is brought to you by at the Grosser Room.

614
00:31:55,280 --> 00:31:58,600
Speaker 1: Guys, this is your last chance to go to the

615
00:31:58,640 --> 00:32:01,880
Speaker 1: Grosser Room and have an opportunity and enter our contest

616
00:32:01,920 --> 00:32:04,560
Speaker 1: to win dinner with Maria and I. We're going to

617
00:32:04,640 --> 00:32:08,040
Speaker 1: take two Grossroom members out to dinner for a night

618
00:32:08,200 --> 00:32:11,000
Speaker 1: just to talk about gross things or whatever you guys

619
00:32:11,080 --> 00:32:14,040
Speaker 1: want to talk about. But we're really looking forward to it.

620
00:32:14,080 --> 00:32:17,000
Speaker 1: But it is for gross Room members only, so make

621
00:32:17,040 --> 00:32:19,200
Speaker 1: sure that you sign up. If you're not a member already.

622
00:32:19,760 --> 00:32:21,320
Speaker 2: Yeah. All you have to do is head over to

623
00:32:21,360 --> 00:32:24,000
Speaker 2: the grossroom dot com sign up or log into your

624
00:32:24,040 --> 00:32:27,280
Speaker 2: existing account, and head over to the Grossroom anniversary post

625
00:32:27,360 --> 00:32:29,120
Speaker 2: and tell us why you want to come to dinner

626
00:32:29,160 --> 00:32:32,800
Speaker 2: with us, and we will be announcing winners in two days.

627
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Speaker 1: I can't wait till we have that all planned out.

628
00:32:35,320 --> 00:32:37,440
Speaker 1: And it's going to be just such a good dinner

629
00:32:37,440 --> 00:32:41,040
Speaker 1: that involves a cheeseboard of some sort. Yeah, can't wait

630
00:32:41,080 --> 00:32:43,760
Speaker 1: for that fun. All right, awesome, So we'll see you

631
00:32:43,760 --> 00:32:47,520
Speaker 1: guys in the gross Room. Guys, let's get into some

632
00:32:47,760 --> 00:32:48,360
Speaker 1: true crime.

633
00:32:49,160 --> 00:32:51,320
Speaker 2: These next three stories all have to do with people

634
00:32:51,360 --> 00:32:54,080
Speaker 2: committing crimes all for social media. And I feel like

635
00:32:54,120 --> 00:32:57,959
Speaker 2: this is taking over this section. It really is, and

636
00:32:58,000 --> 00:33:00,400
Speaker 2: it's really just making me concerned. I mean, let's get

637
00:33:00,440 --> 00:33:02,320
Speaker 2: into it first and then I'm just gonna express my

638
00:33:02,400 --> 00:33:05,400
Speaker 2: concerns as always. So first, we have a healthcare worker

639
00:33:05,560 --> 00:33:08,040
Speaker 2: nineteen years old. She's been charged with the felony after

640
00:33:08,120 --> 00:33:11,160
Speaker 2: posting a video where she was twerking on a disabled

641
00:33:11,160 --> 00:33:11,880
Speaker 2: person's head.

642
00:33:12,920 --> 00:33:17,520
Speaker 1: Yes, and it's just one person. She's on video with

643
00:33:17,920 --> 00:33:22,520
Speaker 1: multiple patients twerking over their head. Again, a video that

644
00:33:22,640 --> 00:33:24,720
Speaker 1: i've been seeing on the internet for a week, and

645
00:33:24,760 --> 00:33:27,960
Speaker 1: I was like, I blew over it because I'm like,

646
00:33:28,000 --> 00:33:30,080
Speaker 1: that can't be real. That has to be a joke

647
00:33:30,200 --> 00:33:32,560
Speaker 1: of like some girl doing that, and that's her boyfriend

648
00:33:32,560 --> 00:33:35,240
Speaker 1: pretending to be disabled right there. Like I just literally

649
00:33:35,240 --> 00:33:39,320
Speaker 1: cannot believe this is a real thing. When you watch it,

650
00:33:39,400 --> 00:33:41,840
Speaker 1: you just can't believe, Like, what the hell was going

651
00:33:41,840 --> 00:33:43,560
Speaker 1: through this person's head. I don't understand.

652
00:33:44,520 --> 00:33:47,160
Speaker 2: I don't know. And like many of these other cases too,

653
00:33:47,240 --> 00:33:49,960
Speaker 2: she's smiling in the mugshot. Do we just have no

654
00:33:50,120 --> 00:33:55,920
Speaker 2: regard for what's right and wrong anymore? I don't know

655
00:33:55,960 --> 00:33:59,320
Speaker 2: what to say, you guys, I'll post the video in

656
00:33:59,360 --> 00:34:01,320
Speaker 2: the gross rooms. You could see it. It's just so

657
00:34:01,520 --> 00:34:06,600
Speaker 2: it's very weird. I just I don't understand. Did they

658
00:34:06,680 --> 00:34:09,000
Speaker 2: interview her and ask her like what were you thinking?

659
00:34:10,640 --> 00:34:13,000
Speaker 1: So I think what are people thinking too?

660
00:34:13,040 --> 00:34:15,800
Speaker 2: Because you could That's what's most.

661
00:34:15,560 --> 00:34:17,719
Speaker 1: Concerning, because like it's like they don't even know it's wrong,

662
00:34:17,800 --> 00:34:19,600
Speaker 1: because if you post it on social media, of course

663
00:34:19,600 --> 00:34:21,360
Speaker 1: they're going to be able to find you easily. But

664
00:34:21,440 --> 00:34:24,000
Speaker 1: I don't even think that she realized that she was

665
00:34:24,040 --> 00:34:24,960
Speaker 1: doing anything wrong.

666
00:34:26,200 --> 00:34:29,600
Speaker 2: Yeah, I mean, it's really concerning, and they believe that

667
00:34:29,640 --> 00:34:32,120
Speaker 2: she worked in an in home adult daycare program. So

668
00:34:32,200 --> 00:34:34,960
Speaker 2: I'm assuming if people are in an adult daycare program,

669
00:34:35,000 --> 00:34:37,760
Speaker 2: they have, you know, things going on where they obviously

670
00:34:37,760 --> 00:34:41,760
Speaker 2: can't take care of themselves, they might have cognitive disabilities.

671
00:34:41,800 --> 00:34:44,840
Speaker 2: And this person is just completely taking advantage of the

672
00:34:44,880 --> 00:34:48,640
Speaker 2: situation all to get likes. And it is like, what

673
00:34:48,760 --> 00:34:50,359
Speaker 2: is going through your head that you don't think you're

674
00:34:50,360 --> 00:34:53,240
Speaker 2: going to get in trouble for this from even your employer,

675
00:34:53,360 --> 00:34:54,640
Speaker 2: let alone the police department.

676
00:34:54,719 --> 00:34:58,480
Speaker 1: It's just it's not I don't I just don't understand.

677
00:34:58,560 --> 00:35:02,719
Speaker 1: I mean, if she was trying to get known she

678
00:35:02,880 --> 00:35:04,799
Speaker 1: did it. I guess if that's what she was trying

679
00:35:04,800 --> 00:35:07,080
Speaker 1: to do, I just don't understand.

680
00:35:07,440 --> 00:35:09,719
Speaker 2: Yeah, but you look like a complete idiot. It's not

681
00:35:09,800 --> 00:35:12,640
Speaker 2: like you became this viral TikToker and you made ten

682
00:35:12,680 --> 00:35:15,440
Speaker 2: million dollars trying to make all these videos. You just

683
00:35:15,560 --> 00:35:18,360
Speaker 2: you're nineteen years old. Now you have a possible felony

684
00:35:18,760 --> 00:35:19,400
Speaker 2: on your hands.

685
00:35:19,480 --> 00:35:22,600
Speaker 1: You've ruined, You're ruined any chance of you ever working

686
00:35:22,600 --> 00:35:23,720
Speaker 1: in healthcare again.

687
00:35:24,120 --> 00:35:27,080
Speaker 2: Yeah, which are seemingly pretty good jobs. So what are

688
00:35:27,120 --> 00:35:27,560
Speaker 2: you doing?

689
00:35:28,440 --> 00:35:31,360
Speaker 1: I don't I don't know. Well, we could say that

690
00:35:31,440 --> 00:35:35,680
Speaker 1: about all three stories in this category today, Like yeah, So.

691
00:35:35,680 --> 00:35:39,160
Speaker 2: This next story is in Australia. Police started looking into

692
00:35:39,160 --> 00:35:42,120
Speaker 2: this influencer after her baby was brought to the hospital.

693
00:35:42,680 --> 00:35:46,040
Speaker 2: So apparently this chick was online telling her following that

694
00:35:46,120 --> 00:35:49,000
Speaker 2: this baby had a terminal illness. But it really turns

695
00:35:49,040 --> 00:35:52,960
Speaker 2: out that she was feeding her pharmaceuticals and just unprescribed

696
00:35:53,040 --> 00:35:56,360
Speaker 2: drugs and making the baby sick and then filming the

697
00:35:56,400 --> 00:35:58,719
Speaker 2: baby in distress to make it look like she was

698
00:35:58,800 --> 00:36:01,319
Speaker 2: ill and it was all to get followers and donations

699
00:36:01,320 --> 00:36:02,319
Speaker 2: from the followers.

700
00:36:03,440 --> 00:36:06,959
Speaker 1: That's so gross. So what what happened when they sent

701
00:36:07,880 --> 00:36:10,520
Speaker 1: they so she brought the baby to the hospital at

702
00:36:10,520 --> 00:36:14,640
Speaker 1: some point, what like were they like? Because this is

703
00:36:14,680 --> 00:36:18,319
Speaker 1: the thing when you're not in medicine. It's the same

704
00:36:18,360 --> 00:36:21,680
Speaker 1: thing when when we're talking about remember last episode, we

705
00:36:21,680 --> 00:36:25,160
Speaker 1: were talking about that dad who thought that he grabbed

706
00:36:25,200 --> 00:36:27,920
Speaker 1: tongs and then he really grabbed the knife and then

707
00:36:28,040 --> 00:36:29,040
Speaker 1: tried to pass.

708
00:36:28,800 --> 00:36:29,640
Speaker 2: Off that marketing.

709
00:36:30,000 --> 00:36:33,000
Speaker 1: He thinks he's out smarting the system. But the system

710
00:36:33,080 --> 00:36:35,120
Speaker 1: and the people that work in the system know how

711
00:36:35,160 --> 00:36:38,560
Speaker 1: things work, and if they see a baby presenting in

712
00:36:38,600 --> 00:36:41,160
Speaker 1: that kind of way, that's just very like they already

713
00:36:41,200 --> 00:36:43,799
Speaker 1: are triggered, like something else is going on here. So

714
00:36:43,920 --> 00:36:46,880
Speaker 1: what happened when the baby went to the hospital.

715
00:36:48,080 --> 00:36:50,120
Speaker 2: I mean they go to the hospit she goes to

716
00:36:50,120 --> 00:36:52,759
Speaker 2: the hospital, and she's trying to just, I guess play

717
00:36:52,800 --> 00:36:55,120
Speaker 2: it off like the kids sick, and you know, they

718
00:36:55,160 --> 00:36:57,719
Speaker 2: they drug tested the baby, and they saw that all

719
00:36:57,719 --> 00:36:59,680
Speaker 2: these drugs were in the baby system that were not

720
00:37:00,440 --> 00:37:03,160
Speaker 2: the child. And then when they start investigating it more,

721
00:37:03,440 --> 00:37:05,520
Speaker 2: they find that the woman was going to all these

722
00:37:05,520 --> 00:37:07,600
Speaker 2: great lengths to cover up how she was getting the

723
00:37:07,680 --> 00:37:11,560
Speaker 2: drugs and even using remaining pills from another person's prescription

724
00:37:11,640 --> 00:37:12,440
Speaker 2: in the household.

725
00:37:13,080 --> 00:37:16,680
Speaker 1: So I don't I've never worked in emergency medicine, especially

726
00:37:16,719 --> 00:37:19,480
Speaker 1: with children, but I believe that that's definitely not just

727
00:37:19,560 --> 00:37:24,160
Speaker 1: normal protocol to order a drug panel and unless like

728
00:37:23,160 --> 00:37:27,480
Speaker 1: the exhibiting specific. Yeah, that's what I'm saying, Like they

729
00:37:27,560 --> 00:37:30,240
Speaker 1: just if a kid was genuinely sick, they wouldn't be like, Okay,

730
00:37:30,320 --> 00:37:32,160
Speaker 1: let's test to see if this kid's on drugs. Like

731
00:37:32,200 --> 00:37:36,279
Speaker 1: it's just it's just unusual. So I mean this was.

732
00:37:36,280 --> 00:37:40,399
Speaker 2: Her kid, yes, like she gave birth to That's that's

733
00:37:40,400 --> 00:37:42,200
Speaker 2: what I'm reading from the article, and.

734
00:37:42,120 --> 00:37:45,239
Speaker 1: She was making videos for social media or was the

735
00:37:45,360 --> 00:37:47,600
Speaker 1: videos just so she could try to get money from

736
00:37:47,640 --> 00:37:48,880
Speaker 1: the GoFundMe.

737
00:37:49,280 --> 00:37:52,560
Speaker 2: She was making. She was trying to make it seem

738
00:37:52,680 --> 00:37:56,520
Speaker 2: like she had a terminally ill child so that she

739
00:37:56,640 --> 00:37:59,480
Speaker 2: could get sympathy, which is kind of like what that

740
00:37:59,600 --> 00:38:02,840
Speaker 2: Huxley thing was doing, right. They were using this adoption

741
00:38:02,960 --> 00:38:06,160
Speaker 2: process to get more followers, So she was using it

742
00:38:06,239 --> 00:38:09,319
Speaker 2: to build a following and therefore get donations for this

743
00:38:09,640 --> 00:38:13,120
Speaker 2: falsely sick child. But she was really making the baby

744
00:38:13,239 --> 00:38:15,719
Speaker 2: sick by giving it these pills that it shouldn't have

745
00:38:15,760 --> 00:38:18,080
Speaker 2: been taking and then videoing it like it was in

746
00:38:18,120 --> 00:38:20,440
Speaker 2: distress all the time, but nothing was.

747
00:38:20,440 --> 00:38:23,520
Speaker 1: Actually kind of life is this child going to have

748
00:38:23,640 --> 00:38:26,160
Speaker 1: when she grows up? I mean, she's one years old now.

749
00:38:26,239 --> 00:38:29,680
Speaker 1: She'll be fine because she'll obviously never be hopefully never

750
00:38:30,120 --> 00:38:34,040
Speaker 1: be let near this woman again. But when you this

751
00:38:34,239 --> 00:38:37,480
Speaker 1: is like an interesting thing that you're going to notice

752
00:38:37,520 --> 00:38:39,560
Speaker 1: too with the Internet, because like, if shit like this

753
00:38:39,680 --> 00:38:44,680
Speaker 1: happened fifty years ago, you might be able to find

754
00:38:44,760 --> 00:38:47,960
Speaker 1: like an old newspaper clipping that said your mom did

755
00:38:48,000 --> 00:38:52,280
Speaker 1: something horrible. But now it's like if that kid Google

756
00:38:52,360 --> 00:38:55,560
Speaker 1: searches the mom's name, Like all of these stories are

757
00:38:55,560 --> 00:38:58,520
Speaker 1: going to come up, and like, how do you feel

758
00:38:58,560 --> 00:38:59,080
Speaker 1: about that?

759
00:38:59,400 --> 00:39:01,880
Speaker 2: I don't think she's gonna have custody of this child

760
00:39:01,960 --> 00:39:05,200
Speaker 2: any longer, I would say, And so the kid's either

761
00:39:05,640 --> 00:39:08,160
Speaker 2: gonna have to go in the care of another family member.

762
00:39:08,640 --> 00:39:11,880
Speaker 1: Or yeah, but still like she's she's still going to

763
00:39:11,920 --> 00:39:14,839
Speaker 1: grow up and and know this happened to her.

764
00:39:15,080 --> 00:39:16,719
Speaker 2: Yeah, you know what I mean, and say this about

765
00:39:16,760 --> 00:39:18,279
Speaker 2: any victim of child. I know.

766
00:39:18,400 --> 00:39:20,560
Speaker 1: It's just it's just it's just a weird thing to

767
00:39:20,600 --> 00:39:24,120
Speaker 1: think about that all of these people that are, you know,

768
00:39:24,239 --> 00:39:28,719
Speaker 1: kids right now, even the the OnlyFans lady that we

769
00:39:28,719 --> 00:39:31,480
Speaker 1: were just talking about, Like, eventually that kid that's a

770
00:39:31,480 --> 00:39:34,160
Speaker 1: baby right now of hers is going to grow up

771
00:39:34,239 --> 00:39:36,640
Speaker 1: and be a teenager and start googling and like when

772
00:39:36,640 --> 00:39:39,200
Speaker 1: you google your mom's name, like that's the story that's

773
00:39:39,239 --> 00:39:42,040
Speaker 1: coming up about them. It's I don't know, it's just

774
00:39:42,120 --> 00:39:42,720
Speaker 1: kind of weird.

775
00:39:43,200 --> 00:39:46,400
Speaker 2: Well, she's duing court tomorrow. She's been charged with torture,

776
00:39:46,480 --> 00:39:51,760
Speaker 2: administering poison, making child exploitation material, and fraud. She raised

777
00:39:51,800 --> 00:39:55,600
Speaker 2: about thirty seven thousand US dollars via GoF on me.

778
00:39:56,200 --> 00:39:59,680
Speaker 1: So I guess now that was that was Australian dollars.

779
00:39:59,719 --> 00:40:04,000
Speaker 2: I thought, no, sixty thousand dollars Australia honey thirty approximately

780
00:40:04,080 --> 00:40:08,520
Speaker 2: thirty seven thousand US dollars. So I guess we're just

781
00:40:08,560 --> 00:40:12,600
Speaker 2: like that was worth I just yeah, I guess we're

782
00:40:12,640 --> 00:40:15,080
Speaker 2: just gonna see what happens to her. I mean, people

783
00:40:15,120 --> 00:40:17,160
Speaker 2: like this one hundred percent go to jail, and I

784
00:40:17,200 --> 00:40:19,440
Speaker 2: hope this kid ends up in the custody of a

785
00:40:19,440 --> 00:40:22,520
Speaker 2: person that actually cares for them instead of exploiting them.

786
00:40:23,239 --> 00:40:25,880
Speaker 2: You know what I questioned too, I like all of

787
00:40:25,880 --> 00:40:28,799
Speaker 2: these people that were donating stuff. I wonder if anybody

788
00:40:29,000 --> 00:40:32,000
Speaker 2: suspected that this story wasn't real.

789
00:40:32,400 --> 00:40:35,120
Speaker 1: Because you know, when we talk about you know, it's funny.

790
00:40:35,160 --> 00:40:37,200
Speaker 1: I was talking to Lara the other day. Lara is

791
00:40:37,239 --> 00:40:39,720
Speaker 1: the one with the poop log story that we lost

792
00:40:39,760 --> 00:40:42,719
Speaker 1: it about a couple of weeks ago. But she was

793
00:40:42,760 --> 00:40:45,200
Speaker 1: telling me because we were talking about somebody in that

794
00:40:45,239 --> 00:40:49,719
Speaker 1: episode that faked cancer or something. Yeah, so she was

795
00:40:49,760 --> 00:40:52,520
Speaker 1: telling me that another person that we know faked cancer

796
00:40:52,600 --> 00:40:55,239
Speaker 1: as well. Oh my god. And it's like it's just

797
00:40:55,560 --> 00:40:59,120
Speaker 1: when anybody does like a they fake a medical thing.

798
00:40:59,719 --> 00:41:04,080
Speaker 1: When you start asking questions about it or you know,

799
00:41:04,200 --> 00:41:06,920
Speaker 1: questioning it at all. Then you sit there and say like, Okay,

800
00:41:07,040 --> 00:41:09,800
Speaker 1: that doesn't go along with the story, you know what

801
00:41:09,880 --> 00:41:13,960
Speaker 1: I mean, Like, I'm surprised that people because like all

802
00:41:14,000 --> 00:41:16,520
Speaker 1: of these people that were watching these videos, some person

803
00:41:16,560 --> 00:41:18,920
Speaker 1: had to be a medical person and just would be like, well,

804
00:41:18,960 --> 00:41:21,279
Speaker 1: I don't understand these symptoms are weird or something, you

805
00:41:21,280 --> 00:41:21,759
Speaker 1: know what I mean.

806
00:41:22,000 --> 00:41:24,800
Speaker 2: Honestly, I think a lot of these people get away

807
00:41:24,840 --> 00:41:27,440
Speaker 2: with this for so long because you're seen as the

808
00:41:27,560 --> 00:41:29,000
Speaker 2: asshole for questioning it.

809
00:41:29,800 --> 00:41:31,040
Speaker 1: Yeah, I mean that's true.

810
00:41:31,239 --> 00:41:33,319
Speaker 2: So I think a lot of times people do have

811
00:41:33,360 --> 00:41:36,359
Speaker 2: speculations about people that do things like this, and then

812
00:41:36,400 --> 00:41:39,640
Speaker 2: when they, you know, bring it up to somebody else,

813
00:41:39,680 --> 00:41:42,000
Speaker 2: they're like, how dare you think that way? Because you

814
00:41:42,200 --> 00:41:44,640
Speaker 2: really don't want to think that a person is that

815
00:41:44,920 --> 00:41:46,279
Speaker 2: fucked up to act that way.

816
00:41:47,640 --> 00:41:51,400
Speaker 1: We're hearing more and more stories about it, honestly, Like, listen,

817
00:41:51,440 --> 00:41:53,640
Speaker 1: this is you know, this is one of those things

818
00:41:53,680 --> 00:41:57,279
Speaker 1: that people have been faking illnesses and everything probably since

819
00:41:57,280 --> 00:42:00,360
Speaker 1: the beginning of time, right, but now it's in credible

820
00:42:00,440 --> 00:42:02,640
Speaker 1: with your kid is just it's fucked up.

821
00:42:03,080 --> 00:42:07,280
Speaker 2: Well, because she wasn't just pretending the kid had an illness.

822
00:42:07,320 --> 00:42:11,040
Speaker 2: She was actually making the child sick, all right.

823
00:42:11,120 --> 00:42:14,280
Speaker 1: So the next story, though, is a little bit different

824
00:42:14,280 --> 00:42:16,640
Speaker 1: because it's just I think it's a person acting like

825
00:42:16,680 --> 00:42:18,800
Speaker 1: a fucking idiot and just got caught.

826
00:42:19,440 --> 00:42:22,719
Speaker 2: Yeah. So this this person just took their three month

827
00:42:22,760 --> 00:42:25,560
Speaker 2: old baby and was wiping them on their car windshield,

828
00:42:25,560 --> 00:42:28,920
Speaker 2: wiping snow off, thinking it would be a funny viral video.

829
00:42:29,200 --> 00:42:31,239
Speaker 2: And you know what, my husband actually showed me this

830
00:42:31,360 --> 00:42:33,799
Speaker 2: video before I saw a news story written about it,

831
00:42:33,840 --> 00:42:37,920
Speaker 2: So I was fully prepared for this to becoming in

832
00:42:38,160 --> 00:42:39,920
Speaker 2: or be in the news because it's just like, what

833
00:42:39,960 --> 00:42:41,960
Speaker 2: are you doing? That's a baby, it's cold.

834
00:42:42,040 --> 00:42:45,240
Speaker 1: So I posted which I think is actually interesting because

835
00:42:45,280 --> 00:42:48,400
Speaker 1: I posted a video in the grosser room a couple

836
00:42:48,480 --> 00:42:51,759
Speaker 1: weeks ago, and it was this guy who had his

837
00:42:51,880 --> 00:42:54,720
Speaker 1: son who was probably about seven years old, like wrapped

838
00:42:54,800 --> 00:42:57,600
Speaker 1: up in a million layers of saran wrap really tight

839
00:42:57,680 --> 00:43:00,880
Speaker 1: with his arms tight, and then pulled it really hard

840
00:43:00,920 --> 00:43:05,279
Speaker 1: and like let the kid unravel. So I posted it

841
00:43:05,320 --> 00:43:08,680
Speaker 1: in the gross room to just be like okay, number one.

842
00:43:08,840 --> 00:43:11,440
Speaker 1: I just so happened to stumble across this on Instagram

843
00:43:11,880 --> 00:43:14,240
Speaker 1: and when I watched it, I was like, oh my god,

844
00:43:14,320 --> 00:43:17,719
Speaker 1: like that kid could have positional asphyxia and not be

845
00:43:17,800 --> 00:43:21,200
Speaker 1: able to expand his rib cage enough to breathe properly.

846
00:43:21,719 --> 00:43:23,719
Speaker 1: Or the way that he pulled them out and the

847
00:43:23,800 --> 00:43:26,360
Speaker 1: kid was spinning out of it could have like snapped

848
00:43:26,400 --> 00:43:29,359
Speaker 1: his freakin neck. It just was so crazy to watch

849
00:43:29,360 --> 00:43:32,279
Speaker 1: a video of a parent doing something like that and

850
00:43:32,320 --> 00:43:36,040
Speaker 1: it like probably it's it's like an innocent dad doing

851
00:43:36,080 --> 00:43:39,279
Speaker 1: a dumb thing, not even thinking about it, but like

852
00:43:39,400 --> 00:43:42,520
Speaker 1: really could have hurt the child. And I feel like

853
00:43:42,560 --> 00:43:46,160
Speaker 1: that was actually more severe than this guy putting his

854
00:43:46,239 --> 00:43:48,640
Speaker 1: baby on the windshield to clear the car or whatever.

855
00:43:48,960 --> 00:43:52,920
Speaker 1: I just kind of I don't really understand because in

856
00:43:52,960 --> 00:43:55,160
Speaker 1: that case of the one I posted in the gross room,

857
00:43:55,200 --> 00:43:57,480
Speaker 1: it looked like the mother was filming it, like what,

858
00:43:57,680 --> 00:43:58,200
Speaker 1: why are.

859
00:43:58,040 --> 00:43:59,839
Speaker 2: You okay with with.

860
00:43:59,760 --> 00:44:02,319
Speaker 1: Your doing some dumb shit like that.

861
00:44:02,560 --> 00:44:04,560
Speaker 2: Well, in this case, they said there was two other

862
00:44:04,640 --> 00:44:07,400
Speaker 2: females involved too, which one of them was possibly the

863
00:44:07,440 --> 00:44:10,040
Speaker 2: mother of the baby. I mean, this guy has as

864
00:44:10,080 --> 00:44:12,920
Speaker 2: of our research this morning, he has not been arrested,

865
00:44:12,920 --> 00:44:14,799
Speaker 2: but the police are working with the DA to get

866
00:44:14,840 --> 00:44:18,680
Speaker 2: a search warrant and an arrest warrant, So I don't

867
00:44:18,680 --> 00:44:20,880
Speaker 2: know if this is actually if he's actually gonna be

868
00:44:20,960 --> 00:44:23,719
Speaker 2: arrested or what I think this could you know, I'm

869
00:44:23,719 --> 00:44:27,240
Speaker 2: not as I'm not surprised this became a news story

870
00:44:27,239 --> 00:44:29,320
Speaker 2: and got picked up, But I think this is a

871
00:44:29,360 --> 00:44:31,880
Speaker 2: little more innocent than other actions we have seen.

872
00:44:32,719 --> 00:44:35,800
Speaker 1: That's I think that too. Like I'm looking at it

873
00:44:35,800 --> 00:44:37,919
Speaker 1: and I'm just kind of like, Okay, I wouldn't put

874
00:44:37,960 --> 00:44:40,080
Speaker 1: my baby on the windshield to clear off the car.

875
00:44:40,160 --> 00:44:43,440
Speaker 1: But like the kids, it looks like the kids in

876
00:44:43,480 --> 00:44:45,040
Speaker 1: a snowsuit.

877
00:44:44,400 --> 00:44:46,200
Speaker 2: And it's his back. It's not like they shoved the

878
00:44:46,200 --> 00:44:48,520
Speaker 2: baby's face off the windshield and they're just like wea

879
00:44:49,000 --> 00:44:52,640
Speaker 2: like I don't know, I'm I don't know, like it

880
00:44:52,800 --> 00:44:55,440
Speaker 2: just it doesn't unless I don't know more, is that

881
00:44:55,480 --> 00:44:57,600
Speaker 2: the only part of the story, Like there's.

882
00:44:57,400 --> 00:45:00,520
Speaker 1: No I feel like there if that's all while it is,

883
00:45:00,560 --> 00:45:02,680
Speaker 1: I'm just kind of like, this isn't even a story

884
00:45:02,760 --> 00:45:03,960
Speaker 1: in my opinion.

885
00:45:03,640 --> 00:45:05,440
Speaker 2: Because I feel like you can look at it and

886
00:45:05,480 --> 00:45:07,799
Speaker 2: definitely be like like you just said, okay, like I

887
00:45:07,800 --> 00:45:12,000
Speaker 2: wouldn't be doing that right, But whatever it was, it's

888
00:45:12,040 --> 00:45:14,640
Speaker 2: not that agree just compared to other stories we have

889
00:45:14,760 --> 00:45:17,440
Speaker 2: covered on here. But I don't know if there's more

890
00:45:17,520 --> 00:45:20,200
Speaker 2: to the story or there's more to the video, but

891
00:45:20,440 --> 00:45:23,680
Speaker 2: it genuinely just seemed like a dad put his baby

892
00:45:23,680 --> 00:45:26,840
Speaker 2: and was just jokingly wiping the snow off. But I

893
00:45:26,840 --> 00:45:28,880
Speaker 2: guess at the same time, the police don't think this

894
00:45:29,000 --> 00:45:31,239
Speaker 2: is funny because you see these other stories of these

895
00:45:31,280 --> 00:45:36,000
Speaker 2: people doing horrific things with their children for views. Okay,

896
00:45:36,239 --> 00:45:40,800
Speaker 2: medical news, this story is really controversial. So this woman

897
00:45:40,880 --> 00:45:43,279
Speaker 2: is suing Lyft after a driver told her she was

898
00:45:43,320 --> 00:45:47,080
Speaker 2: too big to fit in his car. She claims that

899
00:45:47,120 --> 00:45:48,839
Speaker 2: when she ordered the car and he got there, he

900
00:45:48,880 --> 00:45:51,520
Speaker 2: immediately locked his doors, told her she could not come

901
00:45:51,560 --> 00:45:54,000
Speaker 2: in the car and that she was too heavy for

902
00:45:54,040 --> 00:45:57,600
Speaker 2: his tires to handle. And she was fighting back, saying

903
00:45:57,640 --> 00:46:00,960
Speaker 2: she has fit in smaller cars. And it's been this

904
00:46:01,160 --> 00:46:03,720
Speaker 2: great debate about who was right or wrong.

905
00:46:04,880 --> 00:46:06,360
Speaker 1: What I mean, what do you think.

906
00:46:08,560 --> 00:46:11,200
Speaker 2: I think that lifts putting it out. As you know,

907
00:46:11,239 --> 00:46:14,239
Speaker 2: we don't condone discrimination, and I would agree that you

908
00:46:14,280 --> 00:46:18,040
Speaker 2: shouldn't discriminate, but I think this is a tricky situation

909
00:46:18,160 --> 00:46:18,560
Speaker 2: to be in.

910
00:46:19,920 --> 00:46:22,560
Speaker 1: Yeah, I mean, I I don't think that there's a

911
00:46:22,560 --> 00:46:27,440
Speaker 1: problem with this, Honestly, you can't. Nobody wants to discriminate

912
00:46:27,640 --> 00:46:30,400
Speaker 1: against people, but there's like a certain limit that you

913
00:46:30,520 --> 00:46:34,200
Speaker 1: just have to you know, if somebody pulls up with

914
00:46:34,400 --> 00:46:38,239
Speaker 1: a motorcycle and wants to put her on it, you

915
00:46:38,320 --> 00:46:38,920
Speaker 1: have to say no.

916
00:46:39,120 --> 00:46:40,719
Speaker 2: Like it's just that it's a safe It could be

917
00:46:40,760 --> 00:46:42,879
Speaker 2: a safety issue, I mean, a safety issue that we're

918
00:46:42,920 --> 00:46:45,280
Speaker 2: not talking about an average plus sized person. This woman

919
00:46:45,320 --> 00:46:47,120
Speaker 2: was almost five hundred pounds.

920
00:46:47,800 --> 00:46:51,319
Speaker 1: Yeah, And I mean I think that his argument with

921
00:46:51,480 --> 00:46:57,000
Speaker 1: the tires is probably pretty valid because most cars, like

922
00:46:57,080 --> 00:47:00,239
Speaker 1: an actual sedan kind of car, which was what this is.

923
00:47:00,320 --> 00:47:02,440
Speaker 1: It wasn't an suv or anything like that. It was

924
00:47:02,480 --> 00:47:06,160
Speaker 1: like a smaller Mercedes Sedan, they could hold like eight

925
00:47:06,239 --> 00:47:09,520
Speaker 1: hundred and fifty pounds on the tires and everything. Right,

926
00:47:09,960 --> 00:47:13,480
Speaker 1: So if the guy is already two hundred pounds, I mean,

927
00:47:13,600 --> 00:47:17,839
Speaker 1: in theory, it probably would have been fine. But it's

928
00:47:17,920 --> 00:47:21,400
Speaker 1: his car, Okay, that's his vehicle. He's not driving a

929
00:47:21,440 --> 00:47:23,879
Speaker 1: taxi cab that he doesn't own or something like. That's

930
00:47:23,920 --> 00:47:27,319
Speaker 1: his vehicle. So I feel like, what if you pick

931
00:47:27,400 --> 00:47:29,680
Speaker 1: up a person that's like soaked in pissed, you can't

932
00:47:29,719 --> 00:47:31,000
Speaker 1: say you can't come in my car.

933
00:47:31,360 --> 00:47:34,799
Speaker 2: Because that's where I was gonna get at. Because there

934
00:47:34,880 --> 00:47:36,840
Speaker 2: is a level of like, you are a human and

935
00:47:36,880 --> 00:47:39,040
Speaker 2: you have a right to deny somebody, and he wasn't

936
00:47:39,120 --> 00:47:41,360
Speaker 2: being an like In my opinion watching the video, I

937
00:47:41,440 --> 00:47:43,000
Speaker 2: don't think he was being an asshole about it. I

938
00:47:43,040 --> 00:47:45,920
Speaker 2: think he was being extremely apologetic he told her to

939
00:47:46,040 --> 00:47:49,000
Speaker 2: order a larger car. I think you know, people are

940
00:47:49,000 --> 00:47:51,600
Speaker 2: gonna take it as him being an asshole because he

941
00:47:51,640 --> 00:47:53,879
Speaker 2: obviously didn't take her in the car and he was saying,

942
00:47:53,920 --> 00:47:58,239
Speaker 2: you're too heavy for my tires and everything. But I

943
00:47:58,360 --> 00:48:02,640
Speaker 2: don't really I see a problem with it necessarily.

944
00:48:02,719 --> 00:48:05,120
Speaker 1: I'm gonna tell you an easy way around this. For

945
00:48:05,239 --> 00:48:09,120
Speaker 1: every Uber and Lyft driver that's listening, all you got

946
00:48:09,160 --> 00:48:11,120
Speaker 1: to say is if you don't fucking put a seatbelt

947
00:48:11,200 --> 00:48:12,879
Speaker 1: on in my car, you're not getting in my car.

948
00:48:13,160 --> 00:48:15,760
Speaker 1: There's no way that she could put a seatbelt on. Therefore,

949
00:48:15,760 --> 00:48:17,480
Speaker 1: I don't want you in there. You know why, because

950
00:48:17,719 --> 00:48:21,319
Speaker 1: if there's an accident, she becomes a projectile. And as

951
00:48:21,320 --> 00:48:23,480
Speaker 1: sure as fuck, don't want a five hundred pound person

952
00:48:23,520 --> 00:48:26,480
Speaker 1: getting pushed into me in a car accident because they're

953
00:48:26,520 --> 00:48:29,840
Speaker 1: not restrained in the car seat. And that should be

954
00:48:29,920 --> 00:48:32,400
Speaker 1: a rule with Lyft and Uber that you can't go

955
00:48:32,480 --> 00:48:34,640
Speaker 1: in the car if you can't buckle the seat belts

956
00:48:35,080 --> 00:48:37,360
Speaker 1: if that's what the driver feels safe with you. Really,

957
00:48:37,760 --> 00:48:40,000
Speaker 1: that's the biggest reason why you want people to wear

958
00:48:40,000 --> 00:48:42,719
Speaker 1: seat belts, because they fly around the car in an accident.

959
00:48:43,560 --> 00:48:46,360
Speaker 1: I mean, it's end of story. It's just a safety issue,

960
00:48:46,920 --> 00:48:49,960
Speaker 1: and it's a bait thing for some of these people,

961
00:48:50,040 --> 00:48:53,040
Speaker 1: like she wants to be able to be like, oh,

962
00:48:53,120 --> 00:48:55,640
Speaker 1: I'm suing you for discrimination and making a big deal

963
00:48:55,680 --> 00:48:57,759
Speaker 1: out of it. It's the same time when people of

964
00:48:57,800 --> 00:49:00,160
Speaker 1: that size go on an airplane and try to like

965
00:49:00,360 --> 00:49:02,319
Speaker 1: say they should get the seats for free and shit

966
00:49:02,920 --> 00:49:05,680
Speaker 1: like it's just it's your start in trouble and you

967
00:49:05,719 --> 00:49:06,840
Speaker 1: know it's gonna be trouble.

968
00:49:07,000 --> 00:49:12,239
Speaker 2: I don't understand why Lyft is liable because, as far

969
00:49:12,320 --> 00:49:16,400
Speaker 2: as I understand it, there those drivers are independent contractors.

970
00:49:16,520 --> 00:49:18,960
Speaker 2: So if you're gonna go after somebody, go after the driver.

971
00:49:19,040 --> 00:49:21,120
Speaker 2: I don't see how Lyft as a company is liable

972
00:49:21,160 --> 00:49:24,440
Speaker 2: for a driver. Let let's say he pulled up and

973
00:49:24,480 --> 00:49:27,560
Speaker 2: he just for no reason at all, was like I'm

974
00:49:27,560 --> 00:49:30,239
Speaker 2: not picking you up, and she wanted to say it

975
00:49:30,280 --> 00:49:34,279
Speaker 2: was discrimination. I don't understand how that's a company's fault

976
00:49:34,400 --> 00:49:38,080
Speaker 2: regardless of the weight issue or not. The company should

977
00:49:38,120 --> 00:49:41,120
Speaker 2: have Like I just was saying about the seat belt situation,

978
00:49:41,400 --> 00:49:43,480
Speaker 2: it should just be a policy. That's like it's up

979
00:49:43,520 --> 00:49:46,960
Speaker 2: to the prerogative of the driver if they feel comfortable

980
00:49:47,000 --> 00:49:49,120
Speaker 2: having a person that can't be restrained in the car.

981
00:49:49,480 --> 00:49:52,360
Speaker 1: But also like just a safety issue. It's it's a

982
00:49:52,400 --> 00:49:56,440
Speaker 1: safety issue. And like if you if you don't want

983
00:49:56,480 --> 00:49:58,960
Speaker 1: to pick up a person, like you're saying covered in

984
00:49:59,000 --> 00:50:01,719
Speaker 1: piss or covered in or something, that could be seen

985
00:50:01,719 --> 00:50:05,360
Speaker 1: as discrimination as well. So yeah, and and like I

986
00:50:05,440 --> 00:50:08,719
Speaker 1: mean if I was a lift driver, if I if

987
00:50:08,760 --> 00:50:11,160
Speaker 1: there was anybody that I was like, for whatever reason,

988
00:50:11,239 --> 00:50:13,239
Speaker 1: I don't want this person in my car, I should

989
00:50:13,280 --> 00:50:14,840
Speaker 1: have the right to be like I don't, I'm not

990
00:50:14,880 --> 00:50:17,959
Speaker 1: picking you up. You could think it's discrimination all you want.

991
00:50:18,000 --> 00:50:21,960
Speaker 1: But like when you're talking about a person's individual safety

992
00:50:22,000 --> 00:50:25,480
Speaker 1: and property, which is their car, Like like let's say

993
00:50:25,520 --> 00:50:27,760
Speaker 1: for example, she got in the car and it fucked

994
00:50:27,760 --> 00:50:29,719
Speaker 1: the car up or something like that, then what like

995
00:50:29,800 --> 00:50:32,320
Speaker 1: is lift gonna pay for that? Probably not the damage

996
00:50:32,320 --> 00:50:35,840
Speaker 1: for that, Like it's you should just have the ability

997
00:50:35,880 --> 00:50:40,720
Speaker 1: to say that I think that this is all. It's all.

998
00:50:40,840 --> 00:50:43,319
Speaker 1: It's it's just all a show. But the problem is

999
00:50:43,320 --> 00:50:45,359
Speaker 1: is that they're gonna give her money to make her

1000
00:50:45,360 --> 00:50:48,400
Speaker 1: go away, and that just pisses me off because it

1001
00:50:48,600 --> 00:50:53,360
Speaker 1: just perpetuates this behavior that's you know, listen, like there's

1002
00:50:53,880 --> 00:50:56,440
Speaker 1: I feel bad that that she's that heavy. It's the

1003
00:50:56,440 --> 00:50:58,600
Speaker 1: same thing as being in a wheelchair, right, but like

1004
00:50:59,200 --> 00:51:01,960
Speaker 1: every single place in the world can't accommodate a person

1005
00:51:02,000 --> 00:51:05,160
Speaker 1: in a wheelchair. Most people try to as much as possible,

1006
00:51:05,200 --> 00:51:07,520
Speaker 1: but like some places can't, and you just can't get

1007
00:51:07,600 --> 00:51:11,000
Speaker 1: upset about that, Like we're the whole world. Functions for

1008
00:51:11,040 --> 00:51:17,200
Speaker 1: the whole population, not just for a specific circumstance. It's

1009
00:51:17,239 --> 00:51:20,040
Speaker 1: not like you're turning down five hundred pound people all

1010
00:51:20,080 --> 00:51:20,439
Speaker 1: the time.

1011
00:51:20,520 --> 00:51:23,120
Speaker 2: You know. Even if the driver was being a complete

1012
00:51:23,200 --> 00:51:26,600
Speaker 2: asshole about the situation, I think he's gonna lose lose because,

1013
00:51:26,640 --> 00:51:28,560
Speaker 2: like you said, if he led her into the car,

1014
00:51:28,760 --> 00:51:31,120
Speaker 2: there could be a major safety risk, and if he

1015
00:51:31,160 --> 00:51:33,239
Speaker 2: did exactly what he did, it could be seen the

1016
00:51:33,280 --> 00:51:37,320
Speaker 2: other way. So don't I don't know, Like I definitely

1017
00:51:37,360 --> 00:51:40,600
Speaker 2: don't think the drivers should be discriminating in general. Like

1018
00:51:40,640 --> 00:51:42,640
Speaker 2: if you're a woman and the driver comes is like

1019
00:51:42,680 --> 00:51:44,919
Speaker 2: I'm not taking you because you're a woman. That's one thing,

1020
00:51:45,000 --> 00:51:48,360
Speaker 2: But like this, as you put it so simply, is

1021
00:51:48,440 --> 00:51:53,040
Speaker 2: just a matter of a safety problem. So all right,

1022
00:51:53,120 --> 00:51:55,200
Speaker 2: let's talk about this next case, going back to twenty

1023
00:51:55,280 --> 00:51:58,000
Speaker 2: twenty one. So, this twenty nine year old girl felt

1024
00:51:58,040 --> 00:52:00,880
Speaker 2: a crack in her neck after this personal training session

1025
00:52:00,920 --> 00:52:03,120
Speaker 2: at the gym. She went to the hospital, got a

1026
00:52:03,160 --> 00:52:06,239
Speaker 2: CT scan. They recommended a spinal tap to eliminate the

1027
00:52:06,320 --> 00:52:09,200
Speaker 2: possibility of a hemorrhage, but she ended up declining and

1028
00:52:09,200 --> 00:52:12,439
Speaker 2: seeking treatment with a chiropractor. So what happened from there?

1029
00:52:14,280 --> 00:52:18,520
Speaker 1: So I don't I don't know exactly why they wanted

1030
00:52:18,920 --> 00:52:22,920
Speaker 1: to do a spinal tap and that was their first

1031
00:52:23,280 --> 00:52:26,440
Speaker 1: way to diagnose her with any kind of an issue,

1032
00:52:26,440 --> 00:52:31,319
Speaker 1: but that was whatever. She declined medical treatment apparently went

1033
00:52:31,360 --> 00:52:35,000
Speaker 1: to a chiropractor, and when she went to the chiropractor,

1034
00:52:35,840 --> 00:52:38,839
Speaker 1: he did a manipulation with her neck, which they would

1035
00:52:38,840 --> 00:52:43,360
Speaker 1: typically do, and then she ended up what happens afterwards,

1036
00:52:43,400 --> 00:52:47,560
Speaker 1: because she ended up dying from this chirop manipulation, and

1037
00:52:47,800 --> 00:52:50,200
Speaker 1: when they did an autopsy on her afterwards and they

1038
00:52:50,200 --> 00:52:53,640
Speaker 1: figured out what happened. What happened was when she was

1039
00:52:53,719 --> 00:52:58,560
Speaker 1: doing the first physical therapy treatment that caused the initial injury.

1040
00:52:58,600 --> 00:53:00,799
Speaker 1: She was doing some kind of exercise with her neck.

1041
00:53:01,360 --> 00:53:04,200
Speaker 1: She tore a vessel in her neck an artery that

1042
00:53:04,320 --> 00:53:08,239
Speaker 1: caused a dissection. So the inside of the artery can tear,

1043
00:53:08,400 --> 00:53:10,920
Speaker 1: and the blood that's inside of the lumen or the

1044
00:53:11,680 --> 00:53:14,840
Speaker 1: inside of the artery could start making a track in

1045
00:53:14,920 --> 00:53:17,720
Speaker 1: between the inner layer of the artery and the middle

1046
00:53:17,840 --> 00:53:21,439
Speaker 1: layer of the artery, which creates a false track, which

1047
00:53:21,440 --> 00:53:24,560
Speaker 1: could then cause the artery to rupture and kill a person.

1048
00:53:25,000 --> 00:53:27,680
Speaker 1: But it also if it doesn't do that right away,

1049
00:53:27,680 --> 00:53:31,040
Speaker 1: it just causes it to be painful. And the vessel

1050
00:53:31,120 --> 00:53:35,040
Speaker 1: is that verse at risk of bursting at any time.

1051
00:53:35,719 --> 00:53:39,279
Speaker 1: And so then when she went to the hospital and

1052
00:53:39,360 --> 00:53:43,160
Speaker 1: denied the treatment, which even if they did a spinal tap,

1053
00:53:43,320 --> 00:53:45,439
Speaker 1: they wouldn't have been able to see that.

1054
00:53:45,880 --> 00:53:47,600
Speaker 2: This is why I'm saying, I don't know why that

1055
00:53:48,000 --> 00:53:48,720
Speaker 2: is the choice.

1056
00:53:49,160 --> 00:53:52,120
Speaker 1: So she left and then went back, and then when

1057
00:53:52,160 --> 00:53:55,440
Speaker 1: she went back, he did manipulation on her neck and

1058
00:53:55,480 --> 00:53:58,279
Speaker 1: that gave her another tear in her artery right there,

1059
00:53:58,400 --> 00:54:01,880
Speaker 1: the chiro the kira, and then this this increases the

1060
00:54:01,960 --> 00:54:03,719
Speaker 1: risk of a stroke, and she ended up having a

1061
00:54:03,760 --> 00:54:06,799
Speaker 1: stroke and then she died. So when they when they

1062
00:54:06,840 --> 00:54:09,480
Speaker 1: do the autopsy, they find out that she had these

1063
00:54:09,960 --> 00:54:13,840
Speaker 1: these dissections in her arteries which caused her to have

1064
00:54:13,880 --> 00:54:18,160
Speaker 1: a stroke. But also they determined that she had this

1065
00:54:18,400 --> 00:54:23,160
Speaker 1: underlying connective tissue disorder called they didn't say what it was,

1066
00:54:23,200 --> 00:54:25,240
Speaker 1: but I'm going to say that it was probably Eller's

1067
00:54:25,280 --> 00:54:28,399
Speaker 1: dwan Loos based upon what they said that she had

1068
00:54:28,440 --> 00:54:34,359
Speaker 1: this underlying connective tissue disorder that wasn't diagnosed. And when

1069
00:54:34,440 --> 00:54:38,359
Speaker 1: people have that disorder, and she had this, she had

1070
00:54:38,400 --> 00:54:41,080
Speaker 1: this as well. She had a history of hyper flexible

1071
00:54:41,160 --> 00:54:45,520
Speaker 1: joints and migraines. And when people have this this disorder,

1072
00:54:45,560 --> 00:54:49,040
Speaker 1: their connective tissue, which is the tissue that's all over

1073
00:54:49,120 --> 00:54:50,920
Speaker 1: your bodies, so with your skin, it could be in

1074
00:54:50,960 --> 00:54:54,880
Speaker 1: your joint everything is like extra stretchy. So have you

1075
00:54:54,920 --> 00:54:58,200
Speaker 1: ever seen on like Instagram videos or something of these

1076
00:54:58,239 --> 00:55:00,360
Speaker 1: people that like can grab their skin and like stretch

1077
00:55:00,400 --> 00:55:02,400
Speaker 1: it out really far, or they could bend their joints

1078
00:55:02,440 --> 00:55:03,360
Speaker 1: like crazy ways.

1079
00:55:03,800 --> 00:55:06,319
Speaker 2: So they be the case of it in the book, Yeah,

1080
00:55:06,320 --> 00:55:07,240
Speaker 2: we did, definitely.

1081
00:55:07,560 --> 00:55:12,120
Speaker 1: So Eller's down Lost is a group of connective tissue disorders,

1082
00:55:12,120 --> 00:55:16,600
Speaker 1: but sometimes people with this disorder can have problems with

1083
00:55:16,719 --> 00:55:19,560
Speaker 1: the blood vessels that could cause them to be in

1084
00:55:19,640 --> 00:55:24,759
Speaker 1: an increased risk of dissection. So a person that let's say,

1085
00:55:24,800 --> 00:55:27,320
Speaker 1: for example, if if you walk into a chiropractor and

1086
00:55:27,400 --> 00:55:29,759
Speaker 1: tell them that you have this, they wouldn't touch you,

1087
00:55:30,360 --> 00:55:32,760
Speaker 1: right because they're scared of something like that happening. Because

1088
00:55:32,960 --> 00:55:35,719
Speaker 1: these tears in the vessels and the a order to

1089
00:55:36,320 --> 00:55:39,680
Speaker 1: it could happen with minimal to no trauma. So her

1090
00:55:39,800 --> 00:55:43,640
Speaker 1: just getting her neck cracked at the chiropractor caused it, right,

1091
00:55:44,920 --> 00:55:48,800
Speaker 1: I guess with this lawsuit, they're saying that he should

1092
00:55:48,840 --> 00:55:52,040
Speaker 1: have like asked for her records from the hospital before

1093
00:55:52,080 --> 00:55:53,800
Speaker 1: doing manipulation on her or something.

1094
00:55:54,280 --> 00:55:57,799
Speaker 2: I think the argument now is going forward, they want

1095
00:55:57,840 --> 00:56:01,799
Speaker 2: to make sure chiropractors are getting previous medical information, which

1096
00:56:01,800 --> 00:56:03,520
Speaker 2: does before it was not mandatory.

1097
00:56:03,640 --> 00:56:07,440
Speaker 1: It doesn't matter, like as far as everything I read, like,

1098
00:56:07,520 --> 00:56:10,239
Speaker 1: what's what's the difference, Like the hospital didn't know she

1099
00:56:10,320 --> 00:56:12,200
Speaker 1: was having a dissection, and the hospital didn't know she

1100
00:56:12,200 --> 00:56:16,160
Speaker 1: had other standloaws, So what's the difference. This is just like.

1101
00:56:16,560 --> 00:56:18,520
Speaker 2: Because they're just looking for somebody to blame.

1102
00:56:18,600 --> 00:56:21,680
Speaker 1: I mean, that's that's all. I I just I can't

1103
00:56:21,719 --> 00:56:24,520
Speaker 1: really see if they knew she had this, this is

1104
00:56:24,560 --> 00:56:25,279
Speaker 1: a whole other thing.

1105
00:56:25,360 --> 00:56:27,200
Speaker 2: But like she didn't even know she had it. Do

1106
00:56:27,239 --> 00:56:30,319
Speaker 2: you think, though, in general, take away this case that

1107
00:56:30,600 --> 00:56:35,960
Speaker 2: chiropractors should be getting everybody's medical history before doing on them.

1108
00:56:36,680 --> 00:56:39,120
Speaker 1: I think that they are I mean most doctors. If

1109
00:56:39,160 --> 00:56:41,840
Speaker 1: you go you recently went to a chiropractor, right, like,

1110
00:56:41,880 --> 00:56:43,879
Speaker 1: do you fill out a health form of all your

1111
00:56:43,920 --> 00:56:45,719
Speaker 1: different things that are wrong with you and stuff. It's

1112
00:56:45,719 --> 00:56:47,759
Speaker 1: not like you just walk in and they start doing shit.

1113
00:56:48,160 --> 00:56:49,600
Speaker 1: Well you there are doctors too.

1114
00:56:49,719 --> 00:56:52,239
Speaker 2: They're doctors too, Like they they are doctors too, and

1115
00:56:52,280 --> 00:56:55,480
Speaker 2: you fill out a form. But I guess the argument

1116
00:56:55,520 --> 00:56:58,200
Speaker 2: in this case is that they want you to request

1117
00:56:58,239 --> 00:56:59,479
Speaker 2: the actual medical doctor.

1118
00:56:59,760 --> 00:57:00,920
Speaker 1: Is ridiculous.

1119
00:57:00,960 --> 00:57:02,680
Speaker 2: They are doctors.

1120
00:57:02,880 --> 00:57:06,440
Speaker 1: Chiropractors are doctors. They're allowed to like, they ask the

1121
00:57:06,520 --> 00:57:09,840
Speaker 1: questions they need to know in order to treat patients.

1122
00:57:10,120 --> 00:57:13,000
Speaker 1: They shouldn't have to get Like that's just the most

1123
00:57:13,040 --> 00:57:15,080
Speaker 1: outrageous thing I've ever heard in my life.

1124
00:57:15,160 --> 00:57:18,200
Speaker 2: Let me tell you to side note, like getting your

1125
00:57:18,320 --> 00:57:21,360
Speaker 2: neck cracked, this is like a weird thing, but like

1126
00:57:21,480 --> 00:57:23,880
Speaker 2: just in general, getting your neck cracked is so scary

1127
00:57:23,920 --> 00:57:27,000
Speaker 2: to me. It's just the sounds it makes is just

1128
00:57:27,320 --> 00:57:28,880
Speaker 2: uncomfortable and.

1129
00:57:28,800 --> 00:57:30,760
Speaker 1: I just always think I have never done it, so

1130
00:57:30,840 --> 00:57:32,080
Speaker 1: I'm just curious, Like.

1131
00:57:32,800 --> 00:57:36,320
Speaker 2: It feels good, but it's the sounds are horrible.

1132
00:57:36,400 --> 00:57:40,800
Speaker 1: Ter But they I mean, they go to school and

1133
00:57:40,880 --> 00:57:43,160
Speaker 1: learn how to do that. It's like all they learn,

1134
00:57:43,240 --> 00:57:45,080
Speaker 1: you know what I mean, They learn anatomy, they learn

1135
00:57:45,120 --> 00:57:47,560
Speaker 1: not to hurt people and stuff. This to me is

1136
00:57:47,640 --> 00:57:51,760
Speaker 1: just like a freak thing. How the hell did you know?

1137
00:57:51,840 --> 00:57:55,800
Speaker 1: It's I don't know, Yeah, maybe I am missing part

1138
00:57:55,800 --> 00:57:58,000
Speaker 1: of the story or something. I just from what I read,

1139
00:57:58,000 --> 00:58:00,280
Speaker 1: I'm just kind of like, yeah, if you got the

1140
00:58:00,840 --> 00:58:03,120
Speaker 1: hospital clearly didn't know she was having that, because you

1141
00:58:03,120 --> 00:58:06,439
Speaker 1: don't let a patient that's having an arterial dissection leave,

1142
00:58:06,880 --> 00:58:10,520
Speaker 1: even if they want to leave, like they're going to die, right, Like, yeah,

1143
00:58:10,600 --> 00:58:13,440
Speaker 1: they didn't do any of that. She thought she just

1144
00:58:13,480 --> 00:58:17,520
Speaker 1: had a neck pain, you know, I don't know, Okay,

1145
00:58:18,080 --> 00:58:18,960
Speaker 1: other death news.

1146
00:58:19,600 --> 00:58:21,840
Speaker 2: All right. Thank you to Klotah for sending this and

1147
00:58:21,960 --> 00:58:24,520
Speaker 2: especially with your notes because it was very helpful and

1148
00:58:24,680 --> 00:58:28,200
Speaker 2: understanding this case. So back in twenty twenty two, this

1149
00:58:28,240 --> 00:58:30,520
Speaker 2: person who studies aging, do you want to say this

1150
00:58:30,560 --> 00:58:33,520
Speaker 2: because that was the look of the garanty. I don't

1151
00:58:33,680 --> 00:58:36,560
Speaker 2: I don't even have it because whatever whatever I wrote,

1152
00:58:36,600 --> 00:58:40,800
Speaker 2: it changed it to dermatologists. Garante, I don't know. It's

1153
00:58:40,920 --> 00:58:44,720
Speaker 2: it's some person that studies aging. So let her say

1154
00:58:44,720 --> 00:58:48,360
Speaker 2: that thing you do is talk to text notes side note.

1155
00:58:48,440 --> 00:58:51,600
Speaker 1: I well, because I'm I'm reading an article, it's just

1156
00:58:51,640 --> 00:58:53,919
Speaker 1: easier to just do that, all right, So I don't.

1157
00:58:54,120 --> 00:58:56,760
Speaker 1: I absolutely don't do not do talk to text and

1158
00:58:56,800 --> 00:59:00,160
Speaker 1: text messages ever. I only the only time I literally read,

1159
00:59:00,320 --> 00:59:02,360
Speaker 1: and when you're doing only when I'm only when I'm

1160
00:59:02,400 --> 00:59:05,840
Speaker 1: doing notes for stuff I do because it's quicker. Because

1161
00:59:05,840 --> 00:59:07,480
Speaker 1: you know, we were talking about this earlier that I

1162
00:59:07,480 --> 00:59:11,200
Speaker 1: didn't learn how to type properly. It's just I have

1163
00:59:11,320 --> 00:59:13,480
Speaker 1: ideas that came in my head really fast, and it's

1164
00:59:13,520 --> 00:59:15,880
Speaker 1: just easier for me to say them out loud than

1165
00:59:15,920 --> 00:59:18,880
Speaker 1: to write them because then I forget them anyway. Continue, Well,

1166
00:59:19,000 --> 00:59:19,960
Speaker 1: not a dermatology.

1167
00:59:20,000 --> 00:59:23,080
Speaker 2: I'm not a boomer. I'm not eve gen X.

1168
00:59:23,120 --> 00:59:25,920
Speaker 1: I'm barely gen X even I'm almost a millennial, but

1169
00:59:26,080 --> 00:59:27,959
Speaker 1: like one year, by the way, almost.

1170
00:59:27,640 --> 00:59:31,240
Speaker 2: The same generation, which is kind of nuts to think about. Okay.

1171
00:59:31,560 --> 00:59:35,040
Speaker 2: Back in twenty twenty two, a gentrilogist, a person who

1172
00:59:35,080 --> 00:59:38,640
Speaker 2: studies aging, was researching the oldest people in Ireland and

1173
00:59:38,720 --> 00:59:40,560
Speaker 2: came across this case of a guy who was one

1174
00:59:40,640 --> 00:59:43,560
Speaker 2: hundred and ten years old. So there are many attempts

1175
00:59:43,600 --> 00:59:45,600
Speaker 2: for this guy to visit, this one hundred and ten

1176
00:59:45,640 --> 00:59:48,200
Speaker 2: year old band freak of nature living in that's one

1177
00:59:48,280 --> 00:59:51,320
Speaker 2: hundred and ten the oldest person living in Ireland. Yeah,

1178
00:59:51,320 --> 00:59:53,320
Speaker 2: so they were there's many attempts to visit this one

1179
00:59:53,360 --> 00:59:55,360
Speaker 2: hundred and ten year old man, but the family kept

1180
00:59:55,360 --> 00:59:58,360
Speaker 2: making up excuses why it couldn't happen. So finally, one

1181
00:59:58,440 --> 01:00:01,320
Speaker 2: day in April of twenty twenty two, welfare officers headed

1182
01:00:01,360 --> 01:00:04,160
Speaker 2: to the house and this older woman answered the door

1183
01:00:04,200 --> 01:00:06,040
Speaker 2: and said her father in law, who was one hundred

1184
01:00:06,040 --> 01:00:08,000
Speaker 2: and ten year old man, didn't want to be disturbed.

1185
01:00:08,280 --> 01:00:11,240
Speaker 2: So they kept pushing and eventually she brings them in

1186
01:00:11,320 --> 01:00:14,080
Speaker 2: the house and brings them to a man wearing shoes

1187
01:00:14,200 --> 01:00:17,520
Speaker 2: laying in a bed. And when they start looking at

1188
01:00:17,520 --> 01:00:20,120
Speaker 2: this man in the bed, they're like, this is clearly

1189
01:00:20,160 --> 01:00:22,440
Speaker 2: not one hundred and ten year old. It is clearly

1190
01:00:22,480 --> 01:00:26,800
Speaker 2: a younger person because it was her husband. So she

1191
01:00:27,640 --> 01:00:28,560
Speaker 2: ended up getting.

1192
01:00:28,320 --> 01:00:31,520
Speaker 1: Arrested because did you imagine like the poor husband was

1193
01:00:31,560 --> 01:00:34,120
Speaker 1: like probably sitting there watching TV and then the wife

1194
01:00:34,240 --> 01:00:36,720
Speaker 1: just goes up to him and like, go in bed

1195
01:00:36,800 --> 01:00:38,800
Speaker 1: right now, Like I know, you still have your shoes on, everything.

1196
01:00:38,840 --> 01:00:40,960
Speaker 1: You got to go pretend to be dead, and like

1197
01:00:41,040 --> 01:00:45,640
Speaker 1: him being like what, Yeah, Like imagine this conversation taking place.

1198
01:00:45,680 --> 01:00:46,680
Speaker 1: It's kind of amazing.

1199
01:00:47,040 --> 01:00:50,080
Speaker 2: I can't. But it was apparently the scheme of the

1200
01:00:50,120 --> 01:00:53,280
Speaker 2: century because for twenty eight and a half years, this

1201
01:00:53,320 --> 01:00:57,880
Speaker 2: woman was claiming her dead father in law's pension. He uh,

1202
01:00:57,960 --> 01:01:00,120
Speaker 2: she started getting it, I guess because she was his

1203
01:01:00,200 --> 01:01:03,200
Speaker 2: care giver and she was allowed to take it out,

1204
01:01:03,240 --> 01:01:06,160
Speaker 2: which also sounds suspicious, but that's according to her that

1205
01:01:06,200 --> 01:01:08,840
Speaker 2: she was given permission to take it out and then

1206
01:01:08,880 --> 01:01:11,320
Speaker 2: he died at some point and she just kept taking

1207
01:01:11,360 --> 01:01:15,200
Speaker 2: it out for decades after his death. So they're sitting

1208
01:01:15,200 --> 01:01:17,280
Speaker 2: there thinking, this guy's one hundred and ten years old,

1209
01:01:17,280 --> 01:01:19,560
Speaker 2: but he had been dead since the nineties and she

1210
01:01:19,640 --> 01:01:21,880
Speaker 2: had just been taking out his pension all this time.

1211
01:01:22,320 --> 01:01:26,280
Speaker 1: But where was where was his body? Like, I mean

1212
01:01:26,320 --> 01:01:30,600
Speaker 1: he was declared dead and had like his body was

1213
01:01:30,960 --> 01:01:33,840
Speaker 1: properly disposed of, right, Like he went to a funeral

1214
01:01:33,880 --> 01:01:36,480
Speaker 1: home or whatever and had all that done. Like where's

1215
01:01:36,560 --> 01:01:37,320
Speaker 1: his body then?

1216
01:01:37,360 --> 01:01:40,360
Speaker 2: So that's what I'm kind of unclear about like was

1217
01:01:40,600 --> 01:01:43,000
Speaker 2: we do have stories sometimes though. We just had that

1218
01:01:43,040 --> 01:01:45,960
Speaker 2: one last week of that family living with their dead

1219
01:01:46,160 --> 01:01:49,720
Speaker 2: grandpa or uncle or something in coming and going and

1220
01:01:49,720 --> 01:01:50,840
Speaker 2: taking the house. Right.

1221
01:01:51,440 --> 01:01:54,000
Speaker 1: So, yeah, but the person was dead there, Like I'm

1222
01:01:54,040 --> 01:01:57,480
Speaker 1: just wondering, because usually if you die and then you

1223
01:01:57,520 --> 01:02:00,000
Speaker 1: go to a funeral home and they submit all their things,

1224
01:02:00,160 --> 01:02:03,280
Speaker 1: like we were talking about. Remember we were saying that

1225
01:02:03,880 --> 01:02:05,760
Speaker 1: a couple of weeks ago or a week ago that

1226
01:02:05,800 --> 01:02:09,000
Speaker 1: we were talking about that one girl that her social

1227
01:02:09,040 --> 01:02:12,240
Speaker 1: Security number got mistakenly entered as a person that died

1228
01:02:12,240 --> 01:02:14,800
Speaker 1: at a funeral home, and she was having all those problems.

1229
01:02:15,360 --> 01:02:18,760
Speaker 1: So if this guy died and had a funeral and

1230
01:02:18,800 --> 01:02:22,360
Speaker 1: everything like that, then what in his information have gotten

1231
01:02:22,360 --> 01:02:25,400
Speaker 1: submitted that he died and should no longer be receiving

1232
01:02:25,440 --> 01:02:28,080
Speaker 1: the pension checks, you know what I mean. There's some

1233
01:02:28,200 --> 01:02:31,360
Speaker 1: kind of like a disparage there with well, I'm thinking

1234
01:02:31,400 --> 01:02:35,400
Speaker 1: that didn't happen or he wasn't the Yeah, died naturally.

1235
01:02:35,960 --> 01:02:38,919
Speaker 1: Possibly he died naturally and they they got they took

1236
01:02:38,960 --> 01:02:41,720
Speaker 1: care of it and continued taking Yeah, I mean that

1237
01:02:41,720 --> 01:02:44,240
Speaker 1: would make the most sense. I don't think that I

1238
01:02:44,320 --> 01:02:46,920
Speaker 1: read anything about that though, they didn't really say, like

1239
01:02:47,000 --> 01:02:48,800
Speaker 1: how she got away with this kind.

1240
01:02:48,560 --> 01:02:51,680
Speaker 2: Of unless it was like he did go through and

1241
01:02:51,720 --> 01:02:55,160
Speaker 2: have a proper funeral and everything, and she just kept

1242
01:02:55,240 --> 01:02:57,840
Speaker 2: taking the pension out and nobody stopped it because.

1243
01:02:57,600 --> 01:03:01,040
Speaker 1: Of Yeah, I mean, yeah, that's possible too.

1244
01:03:01,360 --> 01:03:03,880
Speaker 2: So I think it was probably that because I think

1245
01:03:03,920 --> 01:03:05,920
Speaker 2: if they figured out they got rid of a body

1246
01:03:06,000 --> 01:03:08,040
Speaker 2: or something, it would have been a bigger deal in

1247
01:03:08,080 --> 01:03:10,320
Speaker 2: a bigger jail sentence. So she got sentenced to two

1248
01:03:10,400 --> 01:03:13,040
Speaker 2: years in jail, but she only served six weeks and

1249
01:03:13,160 --> 01:03:18,080
Speaker 2: is already out. So she is said to have defrauded

1250
01:03:18,200 --> 01:03:21,760
Speaker 2: approximately two hundred and eighty two thousand US dollars. That

1251
01:03:21,960 --> 01:03:24,240
Speaker 2: is a lot of money, and she had been taking

1252
01:03:24,280 --> 01:03:27,200
Speaker 2: it out from December nineteen ninety three until she got

1253
01:03:27,200 --> 01:03:28,760
Speaker 2: caught in twenty twenty two.

1254
01:03:29,200 --> 01:03:31,200
Speaker 1: So does she have to pay it back or anything

1255
01:03:31,280 --> 01:03:32,720
Speaker 1: or like they didn't say.

1256
01:03:33,400 --> 01:03:35,439
Speaker 2: I think she's working on a way to pay them back.

1257
01:03:35,440 --> 01:03:37,240
Speaker 2: But how are you possibly going to pay that back?

1258
01:03:37,280 --> 01:03:41,400
Speaker 2: She's in her seventies. Oh my god, it's absolutely ridiculous.

1259
01:03:41,440 --> 01:03:43,360
Speaker 2: It is. Thanks Cloda for sending this.

1260
01:03:43,560 --> 01:03:46,840
Speaker 1: Yeah, thanks thanks for looking out Kloda. Do you want

1261
01:03:46,880 --> 01:03:50,560
Speaker 1: to give Cloda's podcast a shot out Maria. Yeah, Cloda

1262
01:03:50,720 --> 01:03:53,120
Speaker 1: is the most awesome reporter for Sunday World. She also

1263
01:03:53,200 --> 01:03:55,680
Speaker 1: has a works on a podcast called Crime World that's

1264
01:03:55,800 --> 01:03:58,560
Speaker 1: really awesome. There's actually a great episode with you. You

1265
01:03:58,600 --> 01:04:03,120
Speaker 1: were interviewed at Crime Con for it. Yeah, thanks girl,

1266
01:04:03,960 --> 01:04:04,320
Speaker 1: Thanks you.

1267
01:04:05,040 --> 01:04:06,840
Speaker 2: All right, let's move on to Questions of the Day.

1268
01:04:06,880 --> 01:04:09,640
Speaker 2: Every Friday at that at Mother Knows Death Instagram account,

1269
01:04:09,720 --> 01:04:11,840
Speaker 2: we have a little question box on the stories. You

1270
01:04:11,840 --> 01:04:14,280
Speaker 2: guys can ask whatever you want. Thank you for not

1271
01:04:14,320 --> 01:04:18,080
Speaker 2: asking any ghost questions this week, by the way, First,

1272
01:04:18,480 --> 01:04:20,280
Speaker 2: is it common to get a body from the o

1273
01:04:20,640 --> 01:04:22,360
Speaker 2: R or Labor and Delivery?

1274
01:04:23,360 --> 01:04:26,840
Speaker 1: I would say it's not common. I've gotten more bodies

1275
01:04:26,840 --> 01:04:30,000
Speaker 1: from the o R than from labor and Delivery. I've

1276
01:04:30,040 --> 01:04:35,600
Speaker 1: actually never got well, I've gotten fetal and baby bodies

1277
01:04:35,640 --> 01:04:42,280
Speaker 1: from the the oh, labor and Delivery, but not women. Now, yeah,

1278
01:04:42,320 --> 01:04:44,640
Speaker 1: I had I told you I did a pregnant woman once,

1279
01:04:44,680 --> 01:04:47,080
Speaker 1: but she was already dead when she got to the hospital.

1280
01:04:48,320 --> 01:04:48,880
Speaker 2: But o R.

1281
01:04:49,000 --> 01:04:52,840
Speaker 1: Yeah, unfortunately, just a few times. Not it's not anything alarming,

1282
01:04:52,920 --> 01:04:55,400
Speaker 1: But there were a couple mistakes and we got the

1283
01:04:55,440 --> 01:04:59,920
Speaker 1: bodies from the O R. Yes, all right, why wouldn't

1284
01:04:59,920 --> 01:05:02,680
Speaker 1: I autopsy require the brain to be examined when the

1285
01:05:02,720 --> 01:05:04,480
Speaker 1: cause of death is stomach related.

1286
01:05:05,520 --> 01:05:07,360
Speaker 2: So we.

1287
01:05:09,000 --> 01:05:12,360
Speaker 1: For the most part, a lot of times like they're

1288
01:05:12,440 --> 01:05:14,360
Speaker 1: just going to take out all the organs just to

1289
01:05:14,440 --> 01:05:16,920
Speaker 1: have a full picture of what was going on with

1290
01:05:17,040 --> 01:05:21,800
Speaker 1: a person. So, especially in academic centers, they will just

1291
01:05:21,840 --> 01:05:23,880
Speaker 1: take out all of the organs just so they can

1292
01:05:23,960 --> 01:05:26,320
Speaker 1: examine them. And especially if you're giving permission for the

1293
01:05:26,360 --> 01:05:29,840
Speaker 1: autopsy and say we could do a full autopsy, sometimes

1294
01:05:29,840 --> 01:05:32,760
Speaker 1: we're going to do that just for purposes of medical

1295
01:05:32,800 --> 01:05:36,160
Speaker 1: students that are there and learning and residence pathology residents

1296
01:05:36,160 --> 01:05:41,040
Speaker 1: and stuff like that. So in general, is it is

1297
01:05:41,080 --> 01:05:44,000
Speaker 1: it really necessary? Don't I don't know, because I don't know.

1298
01:05:44,040 --> 01:05:46,520
Speaker 1: You're saying stomach issues, and I'm not sure exactly what

1299
01:05:46,640 --> 01:05:49,720
Speaker 1: that could be. But for example, if you thought your

1300
01:05:49,760 --> 01:05:52,600
Speaker 1: family member died from something stomach related, they could have

1301
01:05:52,640 --> 01:05:55,280
Speaker 1: seen something else inside which may make them think that

1302
01:05:55,320 --> 01:05:57,720
Speaker 1: there was something else going on. So a lot of

1303
01:05:57,760 --> 01:06:00,600
Speaker 1: times people think that their stomach pathology, but they might

1304
01:06:00,600 --> 01:06:03,400
Speaker 1: be having like an aortic aneurysm or something, and then

1305
01:06:03,400 --> 01:06:05,880
Speaker 1: they would want to check the vessels, they would want

1306
01:06:05,880 --> 01:06:07,640
Speaker 1: to check the horror and they would like they like

1307
01:06:07,880 --> 01:06:11,440
Speaker 1: checking the cardiovascular system too, and just to see it

1308
01:06:11,480 --> 01:06:13,160
Speaker 1: because a lot of times, a lot of that stuff

1309
01:06:13,240 --> 01:06:16,040
Speaker 1: is related strokes, heart attacks and things like that. So

1310
01:06:17,000 --> 01:06:19,640
Speaker 1: I'm not I'm not really sure, Like if you're telling

1311
01:06:19,680 --> 01:06:22,959
Speaker 1: me exactly, Okay, the person had stomach cancer, why would

1312
01:06:22,960 --> 01:06:28,280
Speaker 1: they want to look at their brain. It's not necessarily necessary,

1313
01:06:28,320 --> 01:06:31,000
Speaker 1: But they also might want to look for a metastasist

1314
01:06:31,080 --> 01:06:33,560
Speaker 1: or something. It just depends on like where the autopsy

1315
01:06:33,640 --> 01:06:36,800
Speaker 1: is getting done and stuff. So if you did have

1316
01:06:36,840 --> 01:06:39,960
Speaker 1: an autopsy on your family member that died, I'm sorry

1317
01:06:40,000 --> 01:06:42,560
Speaker 1: to hear that, by the way, but when you if

1318
01:06:42,600 --> 01:06:44,360
Speaker 1: they did look at the brain, I wouldn't think that

1319
01:06:44,360 --> 01:06:46,800
Speaker 1: that was suspicious at all.

1320
01:06:46,920 --> 01:06:50,080
Speaker 2: Well, if you uh work at want to like the

1321
01:06:50,120 --> 01:06:53,280
Speaker 2: hospital you are, that was a university hospital, So would

1322
01:06:53,320 --> 01:06:55,720
Speaker 2: they if they were trying to teach students or something.

1323
01:06:56,720 --> 01:06:59,680
Speaker 1: Yeah, I mean we we always did, but in the

1324
01:06:59,680 --> 01:07:02,240
Speaker 1: hospit the way the permission form is filled out, it's

1325
01:07:02,280 --> 01:07:04,480
Speaker 1: just like, do you give us permission to do a

1326
01:07:04,480 --> 01:07:06,560
Speaker 1: full autopsy, and if the person says yes, then we

1327
01:07:06,640 --> 01:07:10,440
Speaker 1: just take everything out. Like even if we find the cause, Okay,

1328
01:07:10,480 --> 01:07:15,120
Speaker 1: this person had you know, a ruptured aneurysm or something

1329
01:07:15,160 --> 01:07:17,240
Speaker 1: like that. We would still take everything out just because

1330
01:07:17,240 --> 01:07:19,800
Speaker 1: they gave us permission to and we use it to

1331
01:07:20,160 --> 01:07:23,480
Speaker 1: We just use it to study with even in the

1332
01:07:23,480 --> 01:07:25,920
Speaker 1: private hospital there's always there's nurses and stuff. We just

1333
01:07:26,000 --> 01:07:29,680
Speaker 1: use it for anatomy purposes and teaching. So I just

1334
01:07:29,720 --> 01:07:31,680
Speaker 1: don't think it's weird. That's just like a part of

1335
01:07:31,680 --> 01:07:33,880
Speaker 1: the protocol kind of all.

1336
01:07:33,920 --> 01:07:37,000
Speaker 2: Right, Last, do you find it difficult to separate emotions

1337
01:07:37,040 --> 01:07:43,760
Speaker 2: from the stories you cover? No, I mean not really.

1338
01:07:43,800 --> 01:07:45,840
Speaker 1: I'm just kind of like wired like that because of

1339
01:07:45,880 --> 01:07:48,760
Speaker 1: the job that I did for so long. But no,

1340
01:07:49,000 --> 01:07:51,440
Speaker 1: some stories bother the hell out of me, you know

1341
01:07:51,480 --> 01:07:56,520
Speaker 1: what I mean, especially when they're mostly related to to

1342
01:07:56,640 --> 01:07:58,720
Speaker 1: like my current life, you know, when it has to

1343
01:07:58,720 --> 01:08:01,280
Speaker 1: do you know, this was a story we actually didn't

1344
01:08:01,320 --> 01:08:04,520
Speaker 1: even cover because I don't I try not to talk

1345
01:08:04,560 --> 01:08:07,000
Speaker 1: about We try not to cover stories that are just

1346
01:08:07,080 --> 01:08:11,120
Speaker 1: like I mean, it's kind of impossible in this podcast,

1347
01:08:11,160 --> 01:08:12,960
Speaker 1: but some of them are just like extra terrible and

1348
01:08:13,000 --> 01:08:14,360
Speaker 1: they're I don't even know if I talked to you

1349
01:08:14,360 --> 01:08:16,599
Speaker 1: about this, Maria, But there was a story last week

1350
01:08:17,120 --> 01:08:20,840
Speaker 1: about a kid in like second grade that the parent

1351
01:08:20,960 --> 01:08:23,519
Speaker 1: was dropping them off at school and their coat like

1352
01:08:23,640 --> 01:08:26,559
Speaker 1: got caught in the car in the drop offline and

1353
01:08:26,600 --> 01:08:29,240
Speaker 1: the kid got like ran over. Yeah, killed saw that,

1354
01:08:29,760 --> 01:08:32,760
Speaker 1: and like, I just I can't even like I don't

1355
01:08:32,760 --> 01:08:34,680
Speaker 1: even want to talk about that shit. It's just so

1356
01:08:34,880 --> 01:08:39,400
Speaker 1: freakin upsetting on so many levels, and you just think, like, God,

1357
01:08:39,479 --> 01:08:41,799
Speaker 1: what if something like that happened at our school or

1358
01:08:42,000 --> 01:08:46,280
Speaker 1: just you know, things like that. And I covered another

1359
01:08:46,320 --> 01:08:48,519
Speaker 1: story in the gross room this week of a case

1360
01:08:48,720 --> 01:08:51,679
Speaker 1: that someone had set me the video, but it was old,

1361
01:08:51,840 --> 01:08:53,960
Speaker 1: like ten years old. I don't know if you saw it,

1362
01:08:54,000 --> 01:08:57,639
Speaker 1: but it was a bus driver who let a kid

1363
01:08:57,680 --> 01:08:59,960
Speaker 1: off the bus and the kid's backpack got caught in

1364
01:09:00,120 --> 01:09:02,160
Speaker 1: between the doors when it's shut, and the bus driver

1365
01:09:02,320 --> 01:09:04,759
Speaker 1: drove away with the kid like attached to the bus

1366
01:09:05,040 --> 01:09:07,759
Speaker 1: for like blocks and blocks and blocks and didn't realize

1367
01:09:07,760 --> 01:09:10,160
Speaker 1: that the kid was hanging from the bus. It was

1368
01:09:10,200 --> 01:09:14,479
Speaker 1: like so disturbing, and the kid lived, luckily. She's she's

1369
01:09:14,560 --> 01:09:18,120
Speaker 1: probably close to your age or she's you know what

1370
01:09:18,200 --> 01:09:20,759
Speaker 1: I mean, she's older because this happened a while ago.

1371
01:09:21,320 --> 01:09:25,760
Speaker 1: But yeah, just just like really really upset. I get

1372
01:09:25,840 --> 01:09:28,800
Speaker 1: upset when anything has to do with kids all the time.

1373
01:09:28,920 --> 01:09:31,120
Speaker 1: You know what I mean, or firefighters too, just like

1374
01:09:31,160 --> 01:09:33,880
Speaker 1: things that are that it's hard for me to like

1375
01:09:33,960 --> 01:09:37,600
Speaker 1: turn off like those. Sometimes I see commercials for like

1376
01:09:38,920 --> 01:09:44,480
Speaker 1: these organizations that support firefighters, especially like military and firefighters

1377
01:09:44,479 --> 01:09:46,080
Speaker 1: that die in the line of duty, and they like

1378
01:09:46,120 --> 01:09:49,440
Speaker 1: buy them a house and stuff, you know, that organization,

1379
01:09:50,160 --> 01:09:52,920
Speaker 1: and I just like I have to like tune it

1380
01:09:52,920 --> 01:09:55,120
Speaker 1: out because I'm just like this, this is like a

1381
01:09:55,160 --> 01:09:56,280
Speaker 1: little too close. You know.

1382
01:09:56,960 --> 01:10:01,000
Speaker 2: Well, I think, well, A, we're picking all the stories

1383
01:10:01,040 --> 01:10:04,080
Speaker 2: we're covering, and not all of them are obviously easy

1384
01:10:04,120 --> 01:10:07,000
Speaker 2: to talk about. And one in particular we cut out

1385
01:10:07,000 --> 01:10:09,040
Speaker 2: in the last couple of months was that woman in

1386
01:10:09,080 --> 01:10:12,679
Speaker 2: France where she was just getting raped by all these

1387
01:10:12,720 --> 01:10:15,400
Speaker 2: people her husband was like setting it up. I just

1388
01:10:15,439 --> 01:10:19,360
Speaker 2: didn't want to cover that one because.

1389
01:10:19,120 --> 01:10:22,479
Speaker 1: Stories we also just too dark. Yeah, and we also

1390
01:10:22,600 --> 01:10:26,880
Speaker 1: only have so much time. I mean, maybe if there's

1391
01:10:26,960 --> 01:10:29,519
Speaker 1: a possibility in the future of us having more time,

1392
01:10:29,560 --> 01:10:31,439
Speaker 1: that we could do like an extra episode a week

1393
01:10:31,520 --> 01:10:34,519
Speaker 1: or something, but we only could cover so many stories.

1394
01:10:34,520 --> 01:10:36,120
Speaker 1: We cut out so many every day, you know.

1395
01:10:36,240 --> 01:10:39,320
Speaker 2: And I feel like you guys probably appreciate some of

1396
01:10:39,320 --> 01:10:41,720
Speaker 2: the more outrageous ones at times, just because they're a

1397
01:10:41,720 --> 01:10:44,720
Speaker 2: little easier to digest. It doesn't necessarily mean they're not

1398
01:10:44,760 --> 01:10:48,240
Speaker 2: as fucked up or heavy, but they're easier to digest.

1399
01:10:48,320 --> 01:10:51,960
Speaker 2: And you know, I think about how hard it is

1400
01:10:52,000 --> 01:10:54,200
Speaker 2: to be a news anchor and be live on air

1401
01:10:54,320 --> 01:10:56,519
Speaker 2: and have a breaking news story and then try to

1402
01:10:56,560 --> 01:10:59,439
Speaker 2: process it. I believe when I was reading Katie Kerrick's

1403
01:11:00,120 --> 01:11:03,680
Speaker 2: memoir that if I'm remembering this correctly, I believe she

1404
01:11:03,720 --> 01:11:06,280
Speaker 2: said she was live on air during nine to eleven.

1405
01:11:06,600 --> 01:11:07,840
Speaker 1: She was because I was.

1406
01:11:08,200 --> 01:11:10,960
Speaker 2: I watched it, and I was watching it, and like

1407
01:11:11,040 --> 01:11:13,120
Speaker 2: immediately she was just like I have to get to

1408
01:11:13,160 --> 01:11:16,559
Speaker 2: my kids, you know, can't. You can't even if you're

1409
01:11:16,600 --> 01:11:18,439
Speaker 2: in that process, and your mother like, how are you

1410
01:11:18,479 --> 01:11:20,439
Speaker 2: even doing your job when something like yeah happening and

1411
01:11:20,520 --> 01:11:23,360
Speaker 2: your kids aren't with you. Yeah. So I try to

1412
01:11:23,360 --> 01:11:25,920
Speaker 2: think about things like that, And you know, when people

1413
01:11:26,000 --> 01:11:29,280
Speaker 2: cry on air sometimes I think people think it's really unprofessional,

1414
01:11:29,360 --> 01:11:32,760
Speaker 2: But like, think about all the really heavy things you

1415
01:11:32,880 --> 01:11:35,120
Speaker 2: have to hear in a day. Sometimes certain things just

1416
01:11:35,160 --> 01:11:37,800
Speaker 2: crack you. We definitely have stories on here that are

1417
01:11:37,840 --> 01:11:41,040
Speaker 2: really difficult to talk about. But I guess for us,

1418
01:11:41,080 --> 01:11:43,240
Speaker 2: it's like we have the barrier of picking the stories

1419
01:11:43,280 --> 01:11:45,519
Speaker 2: ourselves covering it in the way we want to, doing

1420
01:11:45,600 --> 01:11:47,720
Speaker 2: the notes ahead of time to kind of prepare for it,

1421
01:11:48,720 --> 01:11:49,920
Speaker 2: and then you just go from there.

1422
01:11:50,120 --> 01:11:50,640
Speaker 1: Yeah.

1423
01:11:50,840 --> 01:11:54,120
Speaker 2: So I and you know, I think with our jobs,

1424
01:11:54,160 --> 01:11:57,080
Speaker 2: it's like I really try to balance my day out

1425
01:11:57,120 --> 01:12:01,080
Speaker 2: with really light things afterwards, because like I can't. I

1426
01:12:01,120 --> 01:12:03,439
Speaker 2: can't stop working for the day and then just watch

1427
01:12:03,479 --> 01:12:06,280
Speaker 2: the news all night long. I would be miserable and

1428
01:12:06,320 --> 01:12:08,519
Speaker 2: depressed if that's all I heard all day long. So

1429
01:12:08,840 --> 01:12:10,640
Speaker 2: I really try to balance out the rest of my

1430
01:12:10,720 --> 01:12:13,720
Speaker 2: day like reading a stupid book or watching housewives or

1431
01:12:13,760 --> 01:12:16,360
Speaker 2: just doing something that's the complete opposite to take my

1432
01:12:16,439 --> 01:12:20,040
Speaker 2: mind away from it. But it's not. It's not easy

1433
01:12:20,040 --> 01:12:20,439
Speaker 2: all the time.

1434
01:12:20,479 --> 01:12:20,960
Speaker 1: I'm different.

1435
01:12:21,040 --> 01:12:23,439
Speaker 2: I just like death and destruction all the time.

1436
01:12:23,560 --> 01:12:25,080
Speaker 1: Yeah, twenty four to seven.

1437
01:12:25,360 --> 01:12:27,760
Speaker 2: You're the most negative first nine. I'm just kidding. I'm

1438
01:12:27,800 --> 01:12:29,880
Speaker 2: quoting pop Up when he yelled at made that one time,

1439
01:12:31,479 --> 01:12:34,800
Speaker 2: which was a shock to the system. Okay, if you

1440
01:12:34,800 --> 01:12:36,800
Speaker 2: guys have a shocking story, please submit it to stories

1441
01:12:36,840 --> 01:12:39,080
Speaker 2: at motherdosdeath dot com, or if you find a cool story,

1442
01:12:39,080 --> 01:12:41,200
Speaker 2: you could always DM it to us on Instagram, although

1443
01:12:41,200 --> 01:12:43,639
Speaker 2: we know we don't always get them, so the email

1444
01:12:43,680 --> 01:12:45,880
Speaker 2: would be preferred, But thank you guys so much. We'll

1445
01:12:45,920 --> 01:12:46,639
Speaker 2: see you next week.

1446
01:12:46,720 --> 01:12:53,280
Speaker 1: Say you next week. Thank you for listening to Mother

1447
01:12:53,400 --> 01:12:57,120
Speaker 1: Knows Death. As a reminder, my training is as a

1448
01:12:57,160 --> 01:13:02,000
Speaker 1: pathologist assistant. I have a master level education and specialize

1449
01:13:02,040 --> 01:13:06,080
Speaker 1: in anatomy and pathology education. I am not a doctor

1450
01:13:06,120 --> 01:13:09,120
Speaker 1: and I have not diagnosed or treated anyone dead or

1451
01:13:09,160 --> 01:13:14,439
Speaker 1: alive without the assistance of a licensed medical doctor. This show,

1452
01:13:14,800 --> 01:13:18,479
Speaker 1: my website, and social media accounts are designed to educate

1453
01:13:18,520 --> 01:13:22,480
Speaker 1: and inform people based on my experience working in pathology,

1454
01:13:22,960 --> 01:13:26,160
Speaker 1: so they can make healthier decisions regarding their life and

1455
01:13:26,240 --> 01:13:30,479
Speaker 1: well being. Always remember that science is changing every day

1456
01:13:30,560 --> 01:13:33,479
Speaker 1: and the opinions expressed in this episode are based on

1457
01:13:33,560 --> 01:13:36,280
Speaker 1: my knowledge of those subjects at the time of publication.

1458
01:13:37,520 --> 01:13:41,120
Speaker 1: If you are having a medical problem, have a medical question,

1459
01:13:41,680 --> 01:13:45,720
Speaker 1: or having a medical emergency, please contact your physician or

1460
01:13:45,880 --> 01:13:51,519
Speaker 1: visit an urgent care center, emergency room, or hospital. Please rate, review,

1461
01:13:51,640 --> 01:13:56,040
Speaker 1: and subscribe to Mother Knows Death on Apple, Spotify, YouTube,

1462
01:13:56,240 --> 01:13:59,000
Speaker 1: or anywhere you get podcasts. Thanks