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Speaker 1: Mother Knows Dad starring Nicole and Jemmy and Maria qk.

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Speaker 2: Hi.

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Speaker 1: Everyone, welcome The Mother Knows Death. We have some great

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Speaker 1: stories for you today. We are going to be talking

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Speaker 1: about head trauma in sports, players getting offered money for

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Speaker 1: near death experiences, beating up someone with a dildo, and

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Speaker 1: deadly's social media challenges. And the craziest story that we

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Speaker 1: have today is a white woman who gave birth to

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Speaker 1: a black baby and the background on that is outrageous.

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Speaker 1: But Riewan, don't you get started with the celebrity news.

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Speaker 2: All right, So let's start off with this new story

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Speaker 2: about Bobby Hole.

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Speaker 1: So.

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Speaker 2: He is a Hall of Fame NHL player. He had

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Speaker 2: played with the Chicago Blackhawks, the Winnipeg Jets, and the

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Speaker 2: former heart Hertford Whalers now is the Carolina Hurricanes. In

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Speaker 2: twenty twenty three, he died at age eighty four and

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Speaker 2: his family donated his brain to a brain bank at

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Speaker 2: Boston University to study. And now two years later they

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Speaker 2: have diagnosed him with CTE.

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Speaker 1: So before I guess, the reason that he donated his

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Speaker 1: brain to a CTE center, obviously is because he was

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Speaker 1: having symptoms prior to his death and it seems that

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Speaker 1: before he retired or right after he retired, So he

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Speaker 1: had all of these amazing achievements while he was playing,

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Speaker 1: and then soon after he retired, his wife accused him

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Speaker 1: of domestic abuse. Then he assaulted a police officer, and

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Speaker 1: he was even saying that Adolph Hitler had some really

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Speaker 1: good ideas. So he sought medical treatment. His family was

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Speaker 1: really worried about him, and they can't diagnose CTE. So

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Speaker 1: CTE stands for a chronic traumatic encephalopathy, which most of

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Speaker 1: the time we're talking about that with football players, but

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Speaker 1: it most certainly applies to hockey players as well. And

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Speaker 1: what happens with ct is that it is due to

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Speaker 1: brain trauma. And it's not like if you get in

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Speaker 1: a car accident and you get a concussion. It's these

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Speaker 1: usually these careers where you have repetitive trauma to the head.

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Speaker 1: And they were saying at first that it was multiple concussions,

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Speaker 1: but now they're saying that just multiple blows to the

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Speaker 1: head in general, even if there's a non symptomatic concussion,

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Speaker 1: is being responsible for causing CTE. So you have all

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Speaker 1: these repetitive blows to the head, but then the symptoms

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Speaker 1: of it are not showing up for maybe even sometimes

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Speaker 1: ten years later. So he started acting really erratic. And

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Speaker 1: when you go to the doctor and you say, you know,

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Speaker 1: you have this history of blunt trauma to your head

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Speaker 1: multiple times because of your career. It's usually in sports,

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Speaker 1: but it could be in the military or something like that,

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Speaker 1: they will start doing tests on you. But there's really

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Speaker 1: no bio markers to tell for diagnostic criteria for CTE.

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Speaker 1: And the only way to definitively diagnose CTE is at

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Speaker 1: death by looking at the brain at autopsy, because clearly

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Speaker 1: you can't look under the microscope at large portions of

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Speaker 1: people's brains while they're still alive. So the thing is

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Speaker 1: is that some of the presentation and the symptoms are

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Speaker 1: similar to other neurogenre diseases like Alzheimer's or als, So

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Speaker 1: they could say that they suspect it, but they really

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Speaker 1: don't know until the person dies. Yeah.

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Speaker 2: What I thought was really interesting about this story is

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Speaker 2: they were saying one of his Blackhawks teammates, Stan Mikita,

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Speaker 2: he had also been diagnosed with ct and that guy

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Speaker 2: had been part of this study of nineteen dead NHL players,

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Speaker 2: eighteen of whom were diagnosed with CTE after they died.

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Speaker 2: I think it's really important to note that helmets were

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Speaker 2: not mandatory until nineteen seventy nine in the NHL, and

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Speaker 2: Bobby Hall played from nineteen fifty seven to nineteen eighty,

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Speaker 2: so he basically had one year of playing with a

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Speaker 2: helmet on. I mean, part of the game is checking

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Speaker 2: other grown men's bodies into a wall. A lot of

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Speaker 2: the time you're falling down, you're skating around on ice.

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Speaker 2: And while they do wear helmets now, I mean, they

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Speaker 2: certainly get concussions still that they're playing. And I was

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Speaker 2: gonna say, like, really, how much do the helmets do

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Speaker 2: I don't know. I mean, it's definitely better than no helmet,

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Speaker 2: but we see this, how long have football player's been

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Speaker 2: playing with helmets.

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Speaker 1: They're still getting them too, So it's it's just the repetitive.

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Speaker 1: Like I said, now they're even saying it's not even

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Speaker 1: a concussion level. If you have some kind of a

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Speaker 1: brain injury, that's that's scary because you can't even really

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Speaker 1: count how many times that this is happening. And they

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Speaker 1: think that when you have this this brain trauma, that

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Speaker 1: it's causing this cascade of events that results in nerd

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Speaker 1: of general changes over time. So it's the scary thing

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Speaker 1: is is that even if you have a high school

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Speaker 1: or player or a college player, you wouldn't even know

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Speaker 1: that the damage was happening until years later.

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Speaker 2: Yeah, I just think it's kind of nuts with everything

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Speaker 2: we know about it today. And I think the NHL

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Speaker 2: has been pretty good about their concussion protocol and making

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Speaker 2: like checks to the head illegal and everything like that.

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Speaker 2: But Gary Bettman, who's the NHL commissioner, has faced a

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Speaker 2: lot of criticism because he refuses to acknowledge a link

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Speaker 2: between CT and playing professional hockey. I think the NFL

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Speaker 2: is facing similar criticisms, and there's even been rumors flying

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Speaker 2: around that they're like convincing former players to go on

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Speaker 2: television and talk shit about how that's a ridiculous concept.

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Speaker 2: When we're seeing all these people get diagnosed with it after.

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Speaker 1: They die, well, there has to be a little bit

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Speaker 1: more to it, because clearly it's not happening to every

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Speaker 1: single person that has had repetitive head trauma. It's only

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Speaker 1: happening to some people. It's not happening to every player.

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Speaker 1: Although obviously we're not looking at every play brain under

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Speaker 1: the microscope as well when they die. But I think

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Speaker 1: that it's just like the cigarette smoking thing. Some people

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Speaker 1: could smoke cigarettes their entire life and never get cancer,

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Speaker 1: really have no pathology from it, and other people have

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Speaker 1: terrible pathology from it. I think it's probably a similar

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Speaker 1: type of a thing, but it's definitely especially now, even

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Speaker 1: if you get children that are starting to involve in

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Speaker 1: these contact sports like this, it should just always be

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Speaker 1: the first thing on a person's mind that this is

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Speaker 1: definitely a possibility. And these people, I mean, this guy

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Speaker 1: was a little bit older when he started having all

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Speaker 1: of the symptoms really and he didn't die until he

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Speaker 1: was almost ninety years old. But look at Aaron Hernandez,

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Speaker 1: and it causes people's personalities to change. What's really interesting

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Speaker 1: is when you look at a brain of someone with

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Speaker 1: CTA at autopsy, it's shrunken down, but specifically the frontal

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Speaker 1: lobe is shrunken down, and that is responsible for your personality,

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Speaker 1: your self awareness, decision making and things like that. So

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Speaker 1: this would go along with maybe why he suddenly started

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Speaker 1: abusing someone or started saying really outrageous things, and with

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Speaker 1: Aaron Hernandez, for example, homicide, suicide, things like that are

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Speaker 1: common in people that suffer from this.

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Speaker 2: Yeah, I mean we saw with Aaron Hernandez, we saw

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Speaker 2: it with Chris ben Wave the WWE. I think there's

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Speaker 2: certain athletes I see doing commentary, especially in the last

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Speaker 2: couple of weeks, that when they're talking on screen, I

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Speaker 2: just look at their face and how they're talking, and

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Speaker 2: I'm like, Wow, that guy is just like not home,

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Speaker 2: even though he's on television doing commentary. But I am

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Speaker 2: concerned for them, and I think the bigger picture and

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Speaker 2: the criticism behind it is, you know, this is a possibility,

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Speaker 2: and even though you can't necessarily prevent it, why are

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Speaker 2: you guys not at least educated the players about it?

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Speaker 2: So I think that's interesting. I wonder just how the

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Speaker 2: future is going to be with more of this stuff

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Speaker 2: coming out.

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Speaker 1: Okay, freak accidents.

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Speaker 2: So we talked about this Toronto plane crash on the

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Speaker 2: last episode, and now Delta is trying to pay everybody

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Speaker 2: that was on the flight thirty thousand dollars, which I'm

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Speaker 2: going to just quite frankly say, I don't think is

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Speaker 2: enough money for something like that.

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Speaker 1: I think that if if something like that, when did

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Speaker 1: this happen on Saturday? Monday? Monday Monday afternoon. Okay, it

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Speaker 1: just happened on Monday, and as of last night, which

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Speaker 1: was Wednesday, they're offering thirty thousand dollars to some what

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Speaker 1: was it eighty people or something were on the flight, yes,

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Speaker 1: or around that. Okay, you have to think that that's

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Speaker 1: a serious red flag that they're offering that much money

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Speaker 1: within three days. Like I think about this on Monday,

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Speaker 1: if you were in an accident like that, I feel

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Speaker 1: like you're almost in the stage where you're still like

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Speaker 1: wrapped up in a blanket, curled on the corner of

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Speaker 1: your couch and crying with your family members. Still the

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Speaker 1: last thing you're thinking about is financial compensation. At this point,

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Speaker 1: you're you're like in shock if you're not in the hospital. Still,

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Speaker 1: it's just really it's so slimy, right sore.

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Speaker 2: The Delta Care team representatives are saying that quote there's

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Speaker 2: no strings attached and does not affect right. So I'm

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Speaker 2: wondering if that means that they still have a right

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Speaker 2: to sue, because I'm thinking, most of the time, when

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Speaker 2: families get settlements like this, you're getting a fat check

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Speaker 2: in exchange for you will not sue us, right, So

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Speaker 2: I don't know if this is just like a we

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Speaker 2: know we fucked up, here's some money, but you still

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Speaker 2: have a right to sue us. But I don't also

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Speaker 2: understand why they would even do that. I it is weird.

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Speaker 2: I do think it's very quick to determine that who

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Speaker 2: came up with that monetary value, I don't know, and.

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Speaker 1: It's it is. I mean, for a company like Delta,

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Speaker 1: it's probably nothing, but thirty thousand dollars times however many

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Speaker 1: people were on the plane eighty plus people is a

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Speaker 1: couple million dollars. I mean, it's it's just it's a

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Speaker 1: lot of money to just offer really fast, and it

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Speaker 1: almost seems like they're they're saying that they made a mistake.

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Speaker 1: I mean, obviously the plane crashed, and when a plane crashes, though,

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Speaker 1: there's all different things that could happen, one of which

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Speaker 1: is just the plane is broke, the landing gear didn't

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Speaker 1: go down, or something like that, and that's not really

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Speaker 1: anybody's fault. It might be if there's a problem with

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Speaker 1: the parts or whatever. But it almost seems like they're

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Speaker 1: they're trying to pacify people really fast. And I've seen

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Speaker 1: a lot on the news of pilots that are looking

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Speaker 1: at this video and they're they're not acting like there

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Speaker 1: was a problem with the landing gear. It was more

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Speaker 1: a problem with the people that were flying the plane,

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Speaker 1: according to the interviews that I've seen and just videos

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Speaker 1: I've seen online as well. So I mean, and another

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Speaker 1: thing is too, is that I guess the fire chief

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Speaker 1: you had said this last week or on Monday or Tuesday,

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Speaker 1: whenever we recorded that, the fire chief had said that

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Speaker 1: the ground was dry and there was no wind conditions

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Speaker 1: or something, And we're looking at the video like it

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Speaker 1: looks like a freaking blizzard and there's a couple inches

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Speaker 1: of snow and ice on the ground. So there was

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Speaker 1: later went back and said, I don't know. He said

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Speaker 1: he was mistaken, but it's all weird, right. There was a.

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Speaker 2: Giant blizzard in Canada over the weekend, so like, what

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Speaker 2: are you talking about? And like hours after this plane crashed,

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Speaker 2: as they're still investigating it, the plane gets covered in

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Speaker 2: snow because it's still actively snowing.

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Speaker 1: Yeah, and they canceled a bunch of flights that day too,

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Speaker 1: So I don't know. I just think it's very quick.

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Speaker 1: There's how what kind of investigation has been done over

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Speaker 1: the course of three days that you're already ready to

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Speaker 1: be like that. Whereas, let's think about the plane crash

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Speaker 1: that happened in DC a few weeks ago. Have you

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Speaker 1: heard of any of those people getting offered money like

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Speaker 1: their families anyway, because they're certainly not alive. I mean,

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Speaker 1: I didn't hear anything like that. The two big differences

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Speaker 1: between these cases are nobody died in this Toronto thing,

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Speaker 1: but a lot of people, not a lot. Everybody died

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Speaker 1: in the other one. So I think that's just going

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Speaker 1: to take some more time legally to figure out. But

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Speaker 1: with that said, even though nobody died and only one

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Speaker 1: person remains in the hospital with injuries, it does not

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Speaker 1: mean you are not going to have some form of

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Speaker 1: PTSD the rest of your life. Personally, I feel like I.

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Speaker 2: Right now I'm internally struggling with can I ever get

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Speaker 2: on a plane again? But I feel like I could

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Speaker 2: get over that because I'd like to go to Europe

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Speaker 2: again in my lifetime and go see other countries and

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Speaker 2: everything like that, and I just I don't have time

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Speaker 2: to take the Mayflower across the ocean. But then again,

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Speaker 2: it's like, if you're in an accident like this, how

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Speaker 2: could you ever comfortably get on a plane again, especially

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Speaker 2: with all these aviation accidents in the news, And I'm

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Speaker 2: thinking they maybe came up with this, like we're gonna

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Speaker 2: be really quick about it because there is just a

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Speaker 2: magnifying glass on aviation right now and we need to

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Speaker 2: just look like the best we possibly.

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Speaker 1: Yeah, didn't Delta are No, that wasn't That was Alaska, right,

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Speaker 1: they have adults were flying off Delta. I feel like

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Speaker 1: Delta had something, though I don't remember what it was.

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Speaker 1: I don't know if the tip of my head was

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Speaker 1: something like the near miss or the clip of the

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Speaker 1: wing or something. I don't know. There's just it just

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Speaker 1: seems like, okay, you're you're trying to cover something and

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Speaker 1: just a piece people really fast. I don't know, it's

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Speaker 1: just really quick. I'm probably jinxing this.

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Speaker 2: But I've been seeing a lot of memes this week

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Speaker 2: too that are like, you know what, planes are never

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Speaker 2: in the news. And it was like spirit in Frontier because.

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Speaker 1: Everyone you know why, I think that is because and

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Speaker 1: I could be totally wrong, so you guys could correct me.

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Speaker 1: But I feel like back in the day, when I

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Speaker 1: was younger, there was one called Jet Blue or something

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Speaker 1: and that one crashed and it was and that was

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Speaker 1: Jet Blue still exists. Okay, so but that's like a

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Speaker 1: budget one of those budget ones, right, No, it's.

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Speaker 2: Not no special one. Pretty sure is pretty expensive. No,

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Speaker 2: there's American Airlines South Southwest, Frontier and Spirit are considered

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Speaker 2: like the lower tier airliners, and then I think American, Delta, United,

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Speaker 2: and Jet Blue are all on the same line. Okay,

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Speaker 2: but anyway, what happened with this.

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Speaker 1: So well, it's not I think that it was that

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Speaker 1: there was a crash of one of these budget airliners

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Speaker 1: and then some people are just always afraid to take

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00:14:51,240 --> 00:14:55,800
Speaker 1: those types of planes because that had happened years ago. No,

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Speaker 1: but I would argue that in my knowledge of aviation accidents,

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Speaker 1: I mean there's aviation accidents since planes have been invented,

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Speaker 1: but I always feel like they have been the bigger names.

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Speaker 1: So yeah, here it is, No, not Jet Blue, Value

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Speaker 1: Jet Yeah, I'm like, what are you talking about? I

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Speaker 1: don't fucking know. Anyway, Yeah, it says it crashed in

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Speaker 1: the Florida Evergly it's killing one hundred and ten people

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Speaker 1: on board. This was in nineteen ninety six, so like

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Speaker 1: for my for my age time, period I was a teenager,

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Speaker 1: and it was just that's the feeling that a lot

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Speaker 1: of people that I know had around that time was

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Speaker 1: just don't take one of those those budget flights because

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Speaker 1: of that. And I know people take them all the time,

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Speaker 1: but I always had that in the back of my

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Speaker 1: mind that there was a crash because and I don't

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Speaker 1: really remember what the reason was or whatever, but you know,

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Speaker 1: everybody used to. I used to take the megabus to

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Speaker 1: my internship every day that summer, and I never had

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Speaker 1: a single problem. And I feel the same way about Frontier,

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Speaker 1: like I fust has come. I have genuinely never had

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Speaker 1: a problem on Frontier. So yeah, it's the whole thing

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Speaker 1: is is that it's just probably they just caught cut

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Speaker 1: a lot of the bullshit and it's just cheaper. It's

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00:16:08,800 --> 00:16:12,120
Speaker 1: probably the same exact thing. I don't I don't really know.

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Speaker 1: I always fly the same airline because knock on what,

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Speaker 1: I've never had a problem, So I'm just kind of

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00:16:17,080 --> 00:16:20,640
Speaker 1: like I and I mean problem like not died. I

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00:16:21,480 --> 00:16:24,120
Speaker 1: mean like when I go, my flights aren't ever delayed

291
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Speaker 1: a long time, and I'm not sleeping in the airport

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Speaker 1: for ten hours with my family it's just it's always

293
00:16:30,040 --> 00:16:32,720
Speaker 1: been a pretty chill experience. So I just kind of

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Speaker 1: go with that. But no judgment if people want to

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00:16:37,000 --> 00:16:42,440
Speaker 1: use Jet Blue or whatever nice airline. I don't even

296
00:16:42,440 --> 00:16:48,240
Speaker 1: think values yet exist. It probably when that happened, exactly, Okay.

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Speaker 1: So we don't have any more stories than freak accidents

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Speaker 1: except that one, which is a huge one. Okay, true crime, Okay.

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Speaker 2: In nineteen ninety nine, one of the most horrific mass

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Speaker 2: shootings we know, that Columbine High School shooting happened two

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Speaker 2: For those of you who are unfamiliar, which I can't

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Speaker 2: imagine anybody is, but for those of you who are unfamiliar,

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Speaker 2: it was two seniors at the high school named Eric

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00:17:10,280 --> 00:17:14,320
Speaker 2: and Dylan. They went to their school, they killed twelve students,

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00:17:14,440 --> 00:17:17,600
Speaker 2: one teacher ended up killing themselves, and then they injured

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00:17:17,600 --> 00:17:20,480
Speaker 2: twenty one additional students. So one of the students that

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00:17:20,560 --> 00:17:24,120
Speaker 2: was injured was this woman, Anne Marie Hotch Halter. So

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00:17:24,160 --> 00:17:26,520
Speaker 2: she was seventeen when the shooting happened. She was eating

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00:17:26,600 --> 00:17:29,639
Speaker 2: lunch in the cafeteria at the time. She was shot

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Speaker 2: in her back with the pistol and then it left

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Speaker 2: her paralyzed. Six months later, her mother killed herself. I mean,

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Speaker 2: this girl's life just seems horrible. No, let's talk about how.

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Speaker 1: Her mother killed herself, because it is so I do

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00:17:44,200 --> 00:17:47,280
Speaker 1: feel terrible. But after reading this, it said six months

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Speaker 1: after this shooting, now her daughter is paralyzed because her

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Speaker 1: daughter survived a school shooting, which at the time, because

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Speaker 1: I was like, well twenty years old at this time. This,

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Speaker 1: even there were school shootings before Columbine, Columbine was the

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Speaker 1: first one that every single person was like, holy shit,

320
00:18:07,200 --> 00:18:10,080
Speaker 1: this is this is so scary, this is a thing.

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Speaker 1: This has never really happened like this. You can't believe it.

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00:18:14,040 --> 00:18:16,960
Speaker 1: It just was really life changing when it happened, you know.

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Speaker 1: It's one of those things that you're like, I remember

324
00:18:19,040 --> 00:18:21,040
Speaker 1: where I was when I found out about that, and

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00:18:21,080 --> 00:18:24,080
Speaker 1: I can't believe it. So her daughter survives this and

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Speaker 1: is paralyzed and is in a wheelchair, and six months later,

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Speaker 1: the mom goes to a pawnshop and asks if she

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Speaker 1: could see the gun, and she takes a gun and

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Speaker 1: shoots herself and kills herself. I mean, how fucked up

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Speaker 1: is that that that daughter had to go through that,

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Speaker 1: But she lives. She's got this spinal cord injury. She's

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Speaker 1: in a wheelchair for life, but she was able to

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Speaker 1: live on her own in an assisted home. It was

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00:18:48,040 --> 00:18:49,639
Speaker 1: a home that was kind of set up for her

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Speaker 1: to live in with a wheelchair. And she said she

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Speaker 1: constantly had pain in her back, intensive nerve pain, spinal

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Speaker 1: cord injury, and everything that comes along with being paralyzed.

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Speaker 1: And now she's forty four years old, and the principal

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00:19:06,560 --> 00:19:09,200
Speaker 1: of the school had said that she died from natural causes.

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Speaker 2: But I would disagree with that, Yeah, because even so

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00:19:13,240 --> 00:19:16,679
Speaker 2: I guess her. I guess there's criticism of saying she

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00:19:16,760 --> 00:19:20,600
Speaker 2: died from natural causes because the thought right now is

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Speaker 2: that she died connected from issues stemming from her injuries

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00:19:25,200 --> 00:19:25,880
Speaker 2: from the shooting.

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Speaker 1: So that is not she causes. Yes, she didn't like.

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Speaker 1: And the thing is is if those two, let's say,

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00:19:32,760 --> 00:19:35,880
Speaker 1: for example, one of those two were still alive, they

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00:19:35,920 --> 00:19:39,959
Speaker 1: would now get charged with homicide if she died like today,

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00:19:40,840 --> 00:19:44,800
Speaker 1: even though they could have already been charged for her injury,

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Speaker 1: at some point, it will now be upgraded to a

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Speaker 1: homicide charge. And they don't care how long in between

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00:19:50,320 --> 00:19:53,119
Speaker 1: the injury and the person dying. If you could prove

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Speaker 1: that she died, which she's forty four years old, so

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Speaker 1: I mean not that forty four year old people can't die.

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00:20:00,560 --> 00:20:04,040
Speaker 1: But if they could prove it was related to her paralysis,

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Speaker 1: which it more than likely was, then it's a homicide.

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00:20:08,240 --> 00:20:09,520
Speaker 1: It is not natural causes.

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Speaker 2: Yeah, I did think that was interesting that they were

359
00:20:12,440 --> 00:20:17,159
Speaker 2: quick to categorize it as that. Well, I don't know,

360
00:20:18,400 --> 00:20:20,879
Speaker 2: for regular people, they don't really understand. I mean, she

361
00:20:20,920 --> 00:20:24,239
Speaker 2: had she had disease and died from the disease. She

362
00:20:24,280 --> 00:20:26,880
Speaker 2: didn't no one shot her or she didn't shoot herself.

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00:20:27,760 --> 00:20:30,919
Speaker 2: That's I guess that's what they're I mean, acutely like

364
00:20:31,040 --> 00:20:32,800
Speaker 2: right now, I guess that's what they're saying. But you

365
00:20:32,800 --> 00:20:35,800
Speaker 2: don't have a medical examiner saying this that. I mean,

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00:20:35,840 --> 00:20:38,159
Speaker 2: on her death certificate it should say her manner of

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00:20:38,200 --> 00:20:40,680
Speaker 2: death is homicide. I think in a lot of these

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00:20:40,720 --> 00:20:42,560
Speaker 2: stories we talked about, like let's just jump back to

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Speaker 2: the plane while we're talking about for example, technically nobody

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00:20:45,800 --> 00:20:48,720
Speaker 2: has died right now, and people were in the hospital,

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00:20:48,720 --> 00:20:50,760
Speaker 2: but at one point she was just in the hospital

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00:20:50,760 --> 00:20:52,760
Speaker 2: and was released as well. It doesn't mean it doesn't

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Speaker 2: affect the rest of people's lives because they don't die

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00:20:54,920 --> 00:20:57,359
Speaker 2: from it, and I don't think a lot of people

375
00:20:57,440 --> 00:21:00,159
Speaker 2: are not king of the long term effects of I

376
00:21:00,200 --> 00:21:03,080
Speaker 2: can't imagine being in a seatbelt in an airplane and

377
00:21:03,080 --> 00:21:06,160
Speaker 2: then all of a sudden being turned upside down that

378
00:21:06,200 --> 00:21:08,440
Speaker 2: you have to now cut or take your seatbelt off

379
00:21:08,440 --> 00:21:09,880
Speaker 2: and fall to get out of it.

380
00:21:10,440 --> 00:21:14,439
Speaker 1: That you would fall properly and not injure yourself. Hopefully

381
00:21:14,440 --> 00:21:17,320
Speaker 1: you wouldn't hit your head and do something to your neck.

382
00:21:17,400 --> 00:21:20,000
Speaker 1: But sometimes if you get in a car accident, you

383
00:21:20,000 --> 00:21:23,480
Speaker 1: could have lifelong neck problems. Even it's just they're gonna be,

384
00:21:23,520 --> 00:21:27,880
Speaker 1: they're gonna have it doesn't even matter because we're not

385
00:21:27,920 --> 00:21:32,600
Speaker 1: ever taking into consideration emotional trauma as well.

386
00:21:32,680 --> 00:21:36,320
Speaker 2: So well, was even just watching an old episode of

387
00:21:36,400 --> 00:21:39,439
Speaker 2: New York Housewives the other day, and one of the

388
00:21:39,440 --> 00:21:42,439
Speaker 2: housewives at that time had like a childhood injury and

389
00:21:42,480 --> 00:21:45,000
Speaker 2: she didn't have a leg, and so she worked often

390
00:21:45,000 --> 00:21:48,440
Speaker 2: with charities with amputees, and she was in the episode

391
00:21:48,480 --> 00:21:50,560
Speaker 2: working with a woman who had lost one of her

392
00:21:50,600 --> 00:21:53,800
Speaker 2: limbs in the Boston marathon bombing. And we're not thinking

393
00:21:53,800 --> 00:21:55,959
Speaker 2: of those victims, like there are, of course victims that

394
00:21:56,000 --> 00:21:58,040
Speaker 2: have died and lost their life, but there are people

395
00:21:58,080 --> 00:22:01,960
Speaker 2: that have life altering injuries from these attacks, and it's

396
00:22:01,960 --> 00:22:03,320
Speaker 2: just really sad to think about.

397
00:22:03,560 --> 00:22:04,120
Speaker 1: Yeah it is.

398
00:22:04,280 --> 00:22:06,360
Speaker 2: Do you remember so like I was only four when

399
00:22:06,400 --> 00:22:09,920
Speaker 2: this happened, so like when it happened, what was going

400
00:22:09,960 --> 00:22:12,360
Speaker 2: on in the news, Like it was scary because there

401
00:22:12,400 --> 00:22:13,480
Speaker 2: wasn't social media.

402
00:22:13,240 --> 00:22:13,720
Speaker 1: At this time.

403
00:22:13,760 --> 00:22:15,800
Speaker 2: So in my day and age when things like this happened,

404
00:22:16,320 --> 00:22:17,120
Speaker 2: I remember it.

405
00:22:17,400 --> 00:22:22,840
Speaker 1: I remember. The biggest talking point was that because I

406
00:22:22,880 --> 00:22:26,040
Speaker 1: guess just as a person that you know, everybody goes

407
00:22:26,080 --> 00:22:28,200
Speaker 1: to high school. I went to a bigger high school

408
00:22:29,080 --> 00:22:32,000
Speaker 1: at some point, you know, after I got kicked out

409
00:22:32,000 --> 00:22:34,720
Speaker 1: for the Catholic school for being pregnant, so I went

410
00:22:34,760 --> 00:22:38,440
Speaker 1: to my town's high school, which was bigger, but you

411
00:22:38,880 --> 00:22:41,080
Speaker 1: sit there and I was already out of high school

412
00:22:41,200 --> 00:22:44,919
Speaker 1: for a couple of years at that point, but you

413
00:22:45,080 --> 00:22:47,199
Speaker 1: just think, you try to put yourself back there and

414
00:22:47,200 --> 00:22:49,880
Speaker 1: you're like, why would why would these two kids get

415
00:22:49,920 --> 00:22:52,800
Speaker 1: together and do this? You just couldn't imagine. And all

416
00:22:52,840 --> 00:22:55,160
Speaker 1: of this stuff came out that they were getting teased

417
00:22:55,160 --> 00:22:57,520
Speaker 1: and that's why they did. But there was like a

418
00:22:57,560 --> 00:23:01,159
Speaker 1: lot like I really never It's it's kind of weird

419
00:23:01,200 --> 00:23:03,560
Speaker 1: with my website and stuff that I never really dug

420
00:23:03,640 --> 00:23:06,840
Speaker 1: deep into Columbine. It was almost kind of one of

421
00:23:06,840 --> 00:23:10,760
Speaker 1: those like nine to eleven type events, like a traumatizing

422
00:23:10,840 --> 00:23:12,560
Speaker 1: news event that you'll remember.

423
00:23:12,800 --> 00:23:15,200
Speaker 2: And now kids in school right now too, So it's

424
00:23:15,240 --> 00:23:17,120
Speaker 2: like hard to dissociate from.

425
00:23:17,359 --> 00:23:20,440
Speaker 1: Yeah, but but now it's now it's like I can't

426
00:23:20,640 --> 00:23:23,640
Speaker 1: I can't even remember them because there's so many of them.

427
00:23:23,640 --> 00:23:26,919
Speaker 1: It's I mean, it's so it's so depressing. But with

428
00:23:27,000 --> 00:23:29,800
Speaker 1: that case, there was a lot of there was just

429
00:23:29,840 --> 00:23:32,439
Speaker 1: a lot of like negligence on the parents' part. I

430
00:23:32,480 --> 00:23:36,280
Speaker 1: remember that, and and then these kids were getting teased,

431
00:23:36,280 --> 00:23:39,320
Speaker 1: and that was the biggest thing because I remember reiterating

432
00:23:39,359 --> 00:23:42,120
Speaker 1: that to you when you were in school, like don't

433
00:23:42,200 --> 00:23:45,480
Speaker 1: tease kids, don't get involved with that. And I'm still

434
00:23:45,520 --> 00:23:48,200
Speaker 1: like that today, just like you kind of stay out

435
00:23:48,200 --> 00:23:50,679
Speaker 1: of it and just don't get involved with that. And

436
00:23:50,720 --> 00:23:54,360
Speaker 1: it's because people like that. That's the incident that make

437
00:23:54,480 --> 00:23:57,480
Speaker 1: me think that people flip a switch like that. And

438
00:23:58,040 --> 00:24:00,119
Speaker 1: but now we know there's just like so much all

439
00:24:00,119 --> 00:24:03,919
Speaker 1: their shit to the story. But yeah, it was it

440
00:24:04,000 --> 00:24:05,600
Speaker 1: was upsetting, of course.

441
00:24:06,080 --> 00:24:09,320
Speaker 2: Yeah, all right, Well this next case is in Florida.

442
00:24:09,359 --> 00:24:11,879
Speaker 2: Police got this call for a domestic dispute between a

443
00:24:11,960 --> 00:24:14,720
Speaker 2: husband and wife. According to the husband, his wife began

444
00:24:14,840 --> 00:24:18,280
Speaker 2: drinking and confronted him about who he follows on Instagram.

445
00:24:18,520 --> 00:24:20,080
Speaker 2: I just want to say a side note, These people

446
00:24:20,119 --> 00:24:23,200
Speaker 2: are in their fifties. So she starts getting in his face,

447
00:24:23,240 --> 00:24:25,080
Speaker 2: and he had threatened to call the cops, and then

448
00:24:25,160 --> 00:24:26,959
Speaker 2: she thought that was the best time to take out

449
00:24:27,000 --> 00:24:29,360
Speaker 2: a dildo and start beating him with it.

450
00:24:29,359 --> 00:24:33,359
Speaker 1: It's kind of funny, listen, Like, domestic abuse is never funny,

451
00:24:33,359 --> 00:24:36,320
Speaker 1: but like, come on, if you're gonna beat your husband,

452
00:24:36,359 --> 00:24:37,320
Speaker 1: you should use a dildo.

453
00:24:37,640 --> 00:24:40,320
Speaker 2: It's just like, what's going on in this household? Like,

454
00:24:40,400 --> 00:24:43,399
Speaker 2: you guys are an absolute miss Why why aren't we

455
00:24:43,400 --> 00:24:46,600
Speaker 2: fighting as fifty year olds? Who's following who on Instagram?

456
00:24:46,680 --> 00:24:48,800
Speaker 2: This is like a high school level fight.

457
00:24:49,800 --> 00:24:54,040
Speaker 1: I know, I'm I don't think I ever once even

458
00:24:54,200 --> 00:24:56,960
Speaker 1: looked at who Gabe follows on Instagram? Like who cares?

459
00:24:57,080 --> 00:24:58,720
Speaker 1: Me too? Because who cares?

460
00:24:58,840 --> 00:25:01,840
Speaker 2: And like it's like the old saying, like if you're gonna,

461
00:25:01,960 --> 00:25:04,239
Speaker 2: if you're gonna look, you're always gonna find something you

462
00:25:04,280 --> 00:25:06,480
Speaker 2: don't like. It doesn't even matter if the person's not

463
00:25:06,600 --> 00:25:07,600
Speaker 2: doing something bad.

464
00:25:08,440 --> 00:25:11,359
Speaker 1: So I'm not I'm definitely not like a snooper like

465
00:25:11,440 --> 00:25:14,199
Speaker 1: that for sure, but I mean people are though. I

466
00:25:14,280 --> 00:25:18,680
Speaker 1: know people that I know, people that have the passwords

467
00:25:18,720 --> 00:25:22,080
Speaker 1: to their husband's things and like check their messages and

468
00:25:22,119 --> 00:25:25,280
Speaker 1: shit and check their phones and well, listen, I don't

469
00:25:25,280 --> 00:25:27,040
Speaker 1: pass back to all my husband's things.

470
00:25:27,080 --> 00:25:29,840
Speaker 2: I've never once felt a desire to log into his

471
00:25:29,960 --> 00:25:33,480
Speaker 2: email and see what he like, what his emails.

472
00:25:33,680 --> 00:25:37,119
Speaker 1: But there's people that openly check each other's stuff, and

473
00:25:37,160 --> 00:25:41,359
Speaker 1: it's weird. It's weird. But I mean if people feel

474
00:25:41,400 --> 00:25:44,760
Speaker 1: comfortable with that, then that's fine. I don't know, I

475
00:25:44,800 --> 00:25:48,119
Speaker 1: think it's weird. So it's not weird to beat someone

476
00:25:48,119 --> 00:25:48,760
Speaker 1: with a sex.

477
00:25:48,640 --> 00:25:53,320
Speaker 2: Boy, well, I mean you shouldn't be hitting anybody, but

478
00:25:53,480 --> 00:25:56,640
Speaker 2: like that, it's a little bit of a comical element

479
00:25:56,720 --> 00:25:57,000
Speaker 2: to the.

480
00:25:57,000 --> 00:26:00,600
Speaker 1: Story, so like you can't really ignore that. So so

481
00:26:00,680 --> 00:26:04,679
Speaker 1: the cops showed up and wait, wait, yeah, So the

482
00:26:04,720 --> 00:26:06,919
Speaker 1: cops get there and the man warned them that his

483
00:26:06,960 --> 00:26:09,160
Speaker 1: wife was naked and they were in risk of being

484
00:26:09,200 --> 00:26:11,800
Speaker 1: flashed by her inside of the house, and they were like,

485
00:26:11,880 --> 00:26:13,439
Speaker 1: is that a bad thing? I don't know, we have

486
00:26:13,480 --> 00:26:17,760
Speaker 1: to see her. I guess right, I don't, I mean,

487
00:26:18,200 --> 00:26:20,600
Speaker 1: think about what the wife looks like it could be

488
00:26:20,600 --> 00:26:22,959
Speaker 1: a really bad thing or really horrible thing, but just

489
00:26:23,119 --> 00:26:26,600
Speaker 1: it's just funny. Like the cops. The cops just see

490
00:26:26,720 --> 00:26:30,040
Speaker 1: they just encounter the craziest shit. Just like you're sitting

491
00:26:30,520 --> 00:26:33,000
Speaker 1: you're sitting at the police station and just like eating

492
00:26:33,119 --> 00:26:35,879
Speaker 1: or whatever, and you get this call that someone's beating

493
00:26:35,880 --> 00:26:37,760
Speaker 1: someone with a dildo, and then you show up and

494
00:26:37,800 --> 00:26:40,560
Speaker 1: the husband's just like, hey, my wife is gonna flash you.

495
00:26:40,640 --> 00:26:44,720
Speaker 1: I'm warning. Just imagine, like that's like a weird night

496
00:26:44,760 --> 00:26:45,360
Speaker 1: of work, right.

497
00:26:45,760 --> 00:26:48,480
Speaker 2: Well, and also it's not like they just left it alone.

498
00:26:48,560 --> 00:26:52,439
Speaker 2: She got arrested for domestic battery. This is another problem

499
00:26:52,440 --> 00:26:55,280
Speaker 2: I have. She had a thousand dollars, she posted a

500
00:26:55,400 --> 00:26:59,760
Speaker 2: thousand dollars bond and was released. Why if you really

501
00:26:59,800 --> 00:27:02,919
Speaker 2: thought she was an aggressor is it just so easy

502
00:27:02,960 --> 00:27:04,000
Speaker 2: and cheap to get out?

503
00:27:04,359 --> 00:27:07,679
Speaker 1: Well it is forever. I mean, I know somebody that

504
00:27:07,800 --> 00:27:12,760
Speaker 1: actually got arrested for a domestic situation and didn't even

505
00:27:13,160 --> 00:27:15,600
Speaker 1: didn't even have to pay bond at all. You know what,

506
00:27:15,640 --> 00:27:16,840
Speaker 1: I don't know.

507
00:27:17,680 --> 00:27:18,560
Speaker 2: You know, it's interesting.

508
00:27:19,520 --> 00:27:22,359
Speaker 1: There's another case here, which is actually the next one

509
00:27:22,400 --> 00:27:24,560
Speaker 1: that we're going to talk to, which are like what

510
00:27:24,680 --> 00:27:28,480
Speaker 1: is happening with the arrest situation in that case? Yeah,

511
00:27:28,560 --> 00:27:30,080
Speaker 1: totally all right.

512
00:27:30,119 --> 00:27:32,480
Speaker 2: So last summer in Michigan, police got a call that

513
00:27:32,560 --> 00:27:35,960
Speaker 2: this elderly couple was squatting in a cabin. While talking

514
00:27:36,000 --> 00:27:39,320
Speaker 2: to them, police discovered they were homeless and noticed extensive

515
00:27:39,320 --> 00:27:42,040
Speaker 2: bruising on the wife, so she was taken to the hospital.

516
00:27:42,119 --> 00:27:44,159
Speaker 2: She had disclosed the history of abuse and ended up

517
00:27:44,240 --> 00:27:47,080
Speaker 2: dying a few days later, and then her husband just

518
00:27:47,080 --> 00:27:48,160
Speaker 2: could not let it in there.

519
00:27:49,760 --> 00:27:54,000
Speaker 1: Okay, So before we even talk about what happened next,

520
00:27:53,480 --> 00:27:57,560
Speaker 1: if police show up to a place and find that

521
00:27:57,600 --> 00:28:02,240
Speaker 1: a man is beating a woman, why wasn't he taken

522
00:28:02,280 --> 00:28:06,320
Speaker 1: into custody at that time? I don't know.

523
00:28:06,680 --> 00:28:08,720
Speaker 2: I think it's very bizarre.

524
00:28:08,840 --> 00:28:15,000
Speaker 1: Okay. So anyway, he's seventy four, so he's older, and

525
00:28:15,040 --> 00:28:19,199
Speaker 1: he shows up to the hospital and is impersonating a

526
00:28:19,560 --> 00:28:23,639
Speaker 1: police officer and wants to go in the hospital and

527
00:28:23,680 --> 00:28:26,800
Speaker 1: said that he wants to see the woman's body in

528
00:28:26,840 --> 00:28:31,560
Speaker 1: the morgue, And clearly any person with the brain working

529
00:28:32,400 --> 00:28:34,879
Speaker 1: at the hospital was just like, yeah, okay, you're a

530
00:28:34,920 --> 00:28:39,400
Speaker 1: police officer. We're not letting you in obviously. So they

531
00:28:39,440 --> 00:28:42,520
Speaker 1: were able to eventually arrest. They put a warn out

532
00:28:42,520 --> 00:28:45,040
Speaker 1: for his arrest and they were able to arrest him later,

533
00:28:45,720 --> 00:28:51,040
Speaker 1: but they still let him out with bail. Right. Yeah,

534
00:28:51,280 --> 00:28:55,240
Speaker 1: he was charged with me. He was charged with impersonating

535
00:28:55,280 --> 00:28:58,720
Speaker 1: a police officer and domestic abuse and domestic abuse. He

536
00:28:58,800 --> 00:29:02,000
Speaker 1: was trying to go look at the body of the woman.

537
00:29:02,240 --> 00:29:06,080
Speaker 1: I don't know what that was about. He probably was,

538
00:29:06,680 --> 00:29:10,480
Speaker 1: I mean, the last time he saw her she went

539
00:29:10,520 --> 00:29:12,960
Speaker 1: to the hospital and then they said she was dead.

540
00:29:13,200 --> 00:29:15,400
Speaker 1: Maybe he just wanted to confirm she was really dead.

541
00:29:15,400 --> 00:29:19,480
Speaker 1: Maybe he wasn't trying to do anything bad. I mean, my.

542
00:29:19,520 --> 00:29:22,760
Speaker 2: Confusion all this is my understanding is she died as

543
00:29:22,800 --> 00:29:26,120
Speaker 2: a result of her injuries from being abused by him,

544
00:29:26,200 --> 00:29:27,880
Speaker 2: So why is he not charagure with murder.

545
00:29:28,800 --> 00:29:32,240
Speaker 1: That's what I was, That's what I was wondering. I'm like, what,

546
00:29:32,560 --> 00:29:39,080
Speaker 1: the story's just missing major elements. She was sixty eight, so,

547
00:29:39,200 --> 00:29:43,640
Speaker 1: I mean, she could have She could have just so

548
00:29:43,720 --> 00:29:45,720
Speaker 1: when they took her to the hospital, they said she

549
00:29:45,800 --> 00:29:49,640
Speaker 1: had extensive bruising, but they also said she had difficulty breathing,

550
00:29:50,280 --> 00:29:55,120
Speaker 1: So she might have died as a result of whatever

551
00:29:55,280 --> 00:29:58,480
Speaker 1: was causing her difficulty in breathing. That might have just

552
00:29:58,560 --> 00:30:01,520
Speaker 1: been you know, she have been having heart failure or

553
00:30:01,520 --> 00:30:06,200
Speaker 1: something right or anything, pneumonia whatever. They were homeless, so

554
00:30:06,520 --> 00:30:10,840
Speaker 1: she probably wasn't seeking medical treatment. So in that case,

555
00:30:11,000 --> 00:30:14,520
Speaker 1: I could say that, Okay, she did technically die of

556
00:30:14,600 --> 00:30:17,480
Speaker 1: natural causes, but she admitted that she was being beaten

557
00:30:17,720 --> 00:30:20,640
Speaker 1: had these extensive bruises, so that's why she's he was

558
00:30:20,680 --> 00:30:25,160
Speaker 1: only getting charged with domestic abuse as opposed to murder.

559
00:30:25,560 --> 00:30:28,200
Speaker 1: I just don't really They didn't really say why he

560
00:30:28,320 --> 00:30:30,120
Speaker 1: was trying to go sneak into the morgue.

561
00:30:30,160 --> 00:30:33,360
Speaker 2: But I just think whenever these cases we cover have

562
00:30:33,480 --> 00:30:36,440
Speaker 2: these weird you know, it's not like this is the

563
00:30:36,480 --> 00:30:40,240
Speaker 2: first domestic dispute case we've covered or whatever, but whenever

564
00:30:40,320 --> 00:30:42,440
Speaker 2: they have these weird added tidbits to it, like he

565
00:30:42,480 --> 00:30:45,120
Speaker 2: tried to impersonate being a state trooper. They're leaving out

566
00:30:45,240 --> 00:30:47,200
Speaker 2: major details about the rest of.

567
00:30:47,200 --> 00:30:49,040
Speaker 1: The case, and you're like, oh, and I want to know.

568
00:30:49,400 --> 00:30:51,280
Speaker 1: And I want to know too, because I'm just thinking,

569
00:30:51,280 --> 00:30:54,520
Speaker 1: as a person that works in the hospital, that was

570
00:30:55,960 --> 00:30:58,120
Speaker 1: a person that you would have went to me to

571
00:30:58,160 --> 00:31:02,000
Speaker 1: get asked to go into the morgue? How is this person?

572
00:31:03,600 --> 00:31:07,360
Speaker 1: Is this person in a police officer out uniform, because

573
00:31:07,360 --> 00:31:10,280
Speaker 1: where would he have gotten that? When is a police

574
00:31:10,320 --> 00:31:13,400
Speaker 1: officer seventy four years old? Anyway, they usually don't don't

575
00:31:13,600 --> 00:31:15,840
Speaker 1: stay cops until they're older age like that.

576
00:31:16,080 --> 00:31:18,320
Speaker 2: Let's just say we were at Let's you say you

577
00:31:18,360 --> 00:31:21,120
Speaker 2: were the person working and a and a cop came

578
00:31:21,200 --> 00:31:21,760
Speaker 2: up to you.

579
00:31:22,520 --> 00:31:25,720
Speaker 1: What purpose do they have being there? I wouldn't. I

580
00:31:26,080 --> 00:31:28,800
Speaker 1: wouldn't do that. I would just go, you're gonna have

581
00:31:28,840 --> 00:31:31,040
Speaker 1: to go to security or so. I wouldn't deal with that.

582
00:31:31,720 --> 00:31:34,720
Speaker 1: I mean, the only time that I don't, I don't

583
00:31:34,720 --> 00:31:36,640
Speaker 1: even know that that's ever happened. The only time that

584
00:31:36,680 --> 00:31:39,440
Speaker 1: I ever let anybody into the more refrigerator was when

585
00:31:39,440 --> 00:31:42,600
Speaker 1: it was either the medical examiner or the funeral home

586
00:31:42,640 --> 00:31:46,120
Speaker 1: to pick the body up. I just like nobody should

587
00:31:46,160 --> 00:31:48,880
Speaker 1: be out. No, no, no, And you would never let

588
00:31:48,920 --> 00:31:52,560
Speaker 1: a family in there for sure. And yeah, like there

589
00:31:53,120 --> 00:31:55,080
Speaker 1: would just never be a reason for that. Like I

590
00:31:55,120 --> 00:31:57,040
Speaker 1: would say, Okay, well you could if it was a

591
00:31:57,040 --> 00:32:00,320
Speaker 1: police incident, then I'd say, Okay, you're gonna have to

592
00:32:00,320 --> 00:32:03,240
Speaker 1: deal with the medical examiner's office. That's not my business.

593
00:32:03,640 --> 00:32:06,040
Speaker 2: You need to watch that thing I told you about

594
00:32:06,120 --> 00:32:09,840
Speaker 2: last week called the Kings of Tupelo because this janitor

595
00:32:09,960 --> 00:32:13,280
Speaker 2: that's also an elvis impersonator, he's working at the hospital

596
00:32:13,280 --> 00:32:14,959
Speaker 2: and he goes in the morgue to clean and then

597
00:32:15,040 --> 00:32:18,120
Speaker 2: claims he sees his severed head in the hospital morgue,

598
00:32:18,800 --> 00:32:22,560
Speaker 2: and then he starts bringing other employees into the morgue

599
00:32:22,600 --> 00:32:26,000
Speaker 2: to see like these body parts in there, which I'm saying,

600
00:32:26,040 --> 00:32:29,200
Speaker 2: Di Rocky, that doesn't sound right if they're at a hospital, right.

601
00:32:31,080 --> 00:32:34,600
Speaker 1: No, it listen. If they're in an academic facility that

602
00:32:34,720 --> 00:32:39,200
Speaker 1: also does research, it could have been like when I

603
00:32:39,720 --> 00:32:42,840
Speaker 1: went to school, I was at an academic hospital and

604
00:32:42,880 --> 00:32:45,560
Speaker 1: then next to that was the gross anatomy labs which

605
00:32:45,560 --> 00:32:49,840
Speaker 1: were which were in the university right next door. Though

606
00:32:49,880 --> 00:32:53,200
Speaker 1: that you might have seen different body parts cut off

607
00:32:53,200 --> 00:32:57,720
Speaker 1: that you normally wouldn't see in the hospital morgue for dissection,

608
00:32:58,040 --> 00:33:01,360
Speaker 1: and they do, I mean, they're are dis sections anatomy

609
00:33:01,400 --> 00:33:06,840
Speaker 1: dissections where they do heads. So it's possible, but that

610
00:33:06,880 --> 00:33:09,400
Speaker 1: wouldn't be something that would be done. That would be

611
00:33:09,440 --> 00:33:12,200
Speaker 1: more of a like donate your body to science. And

612
00:33:13,320 --> 00:33:17,600
Speaker 1: you know, like let's say you're teaching pedietary students. They

613
00:33:17,600 --> 00:33:20,480
Speaker 1: don't need a whole entire cadaver. They only need lower

614
00:33:20,560 --> 00:33:25,160
Speaker 1: legs and feet. So sometimes you kind of take the

615
00:33:25,240 --> 00:33:27,800
Speaker 1: parts to where they need to go for to get

616
00:33:28,520 --> 00:33:33,920
Speaker 1: have researcher for medical purposes or whatever. But there's is

617
00:33:34,320 --> 00:33:36,280
Speaker 1: what hospital. Is this a real story?

618
00:33:36,440 --> 00:33:39,440
Speaker 2: Yes, it was in Mississippi. You need to watch it

619
00:33:39,480 --> 00:33:42,120
Speaker 2: because he ends up getting into this world. It's like

620
00:33:42,160 --> 00:33:44,240
Speaker 2: they're early two thousands. He ends up getting into this

621
00:33:44,280 --> 00:33:47,800
Speaker 2: world of conspiracy theories and people selling body parts, but

622
00:33:48,160 --> 00:33:50,640
Speaker 2: ends up being true in some capacity, and then he

623
00:33:50,680 --> 00:33:55,479
Speaker 2: gets arrested for allegedly mailing ricin to Obama. So you

624
00:33:55,600 --> 00:33:58,720
Speaker 2: just you need to watch this. It's truly the craziest thing.

625
00:33:59,000 --> 00:34:02,080
Speaker 2: It's three episodes, it's only three hours. Gabe, I think

626
00:34:02,120 --> 00:34:04,840
Speaker 2: will thoroughly enjoy it as well. But it's just you

627
00:34:04,920 --> 00:34:07,120
Speaker 2: can not believe these people getting interviewed.

628
00:34:07,160 --> 00:34:09,360
Speaker 1: I do. I want to look into that because I

629
00:34:09,400 --> 00:34:15,080
Speaker 1: want to see, like exactly exactly what was taking place there,

630
00:34:15,120 --> 00:34:18,720
Speaker 1: because it's it is possible. I'm just saying I haven't.

631
00:34:19,160 --> 00:34:21,359
Speaker 2: When you watched the whole thing, you're just like, this

632
00:34:21,400 --> 00:34:24,080
Speaker 2: thing is ridiculous. Uh, well, I was gonna say earlier.

633
00:34:24,120 --> 00:34:27,040
Speaker 2: I was. I I started watching the new Gabby Potito

634
00:34:27,160 --> 00:34:29,799
Speaker 2: thing on Netflix last night and they have a lot

635
00:34:29,800 --> 00:34:31,880
Speaker 2: of the body cam footage, which I've seen clips of

636
00:34:31,920 --> 00:34:34,480
Speaker 2: here and there, but they showed pretty much all of it,

637
00:34:34,520 --> 00:34:37,640
Speaker 2: and I just thought it was really interesting because when

638
00:34:37,719 --> 00:34:41,040
Speaker 2: they had first pulled them over after hearing that he

639
00:34:41,120 --> 00:34:44,440
Speaker 2: had been slapping her in the street, Brian and Gabby

640
00:34:44,560 --> 00:34:47,720
Speaker 2: both admitted that Gabby was the aggressor, but she also

641
00:34:47,800 --> 00:34:50,680
Speaker 2: had bruises on her face and her arms, and I'm

642
00:34:50,719 --> 00:34:53,640
Speaker 2: just curious why they didn't question him more about it.

643
00:34:54,080 --> 00:34:57,040
Speaker 1: And then, well, I think that that was the one

644
00:34:57,040 --> 00:35:00,560
Speaker 1: in Molab. Yeah, Okay, I'm pretty sure that everyone agrees

645
00:35:00,600 --> 00:35:03,719
Speaker 1: that that was That was a crucial error that they

646
00:35:03,840 --> 00:35:06,879
Speaker 1: let her go, because if they would have taken her

647
00:35:06,920 --> 00:35:09,400
Speaker 1: in at that time and recognized the signs of abuse

648
00:35:09,440 --> 00:35:12,840
Speaker 1: and the ship she was saying, then that that was

649
00:35:13,440 --> 00:35:14,480
Speaker 1: a critical error.

650
00:35:14,560 --> 00:35:16,759
Speaker 2: Well, they interviewed them both on the side of a

651
00:35:16,800 --> 00:35:20,279
Speaker 2: busy highway and then they basically told her you could

652
00:35:20,320 --> 00:35:22,480
Speaker 2: take the van, and they put him in a hotel room.

653
00:35:22,480 --> 00:35:24,520
Speaker 2: They said, don't talk to each other tonight, and then

654
00:35:24,520 --> 00:35:26,439
Speaker 2: they ended up beating up a couple hours later.

655
00:35:26,640 --> 00:35:29,439
Speaker 1: Yeah, I mean, they had an abusive relationship, and it's

656
00:35:29,480 --> 00:35:32,960
Speaker 1: the cycle of abuse. It's terrible. But yeah, I mean

657
00:35:33,120 --> 00:35:36,160
Speaker 1: that when you watch the video, and especially any person

658
00:35:36,200 --> 00:35:38,600
Speaker 1: that's ever been through that is just like, oh my god,

659
00:35:38,640 --> 00:35:41,200
Speaker 1: this is terrible, Like you could see exactly what's happening.

660
00:35:41,520 --> 00:35:44,440
Speaker 2: No, exactly, it's I just wonder. I mean, I I

661
00:35:44,480 --> 00:35:46,680
Speaker 2: would assume they look back at them now now that

662
00:35:46,800 --> 00:35:47,200
Speaker 2: oh they do.

663
00:35:47,280 --> 00:35:50,000
Speaker 1: They're under criticism for that for sure.

664
00:35:50,880 --> 00:35:53,400
Speaker 2: I just feel in some capacity I feel bad though,

665
00:35:53,440 --> 00:35:56,480
Speaker 2: because they show them the officers talking amongst one another,

666
00:35:56,560 --> 00:35:58,680
Speaker 2: and they're like, they're so young, like we don't want

667
00:35:58,680 --> 00:36:01,319
Speaker 2: to like arrest them and have this be this whole

668
00:36:01,320 --> 00:36:03,200
Speaker 2: thing if they really did just get in the fight.

669
00:36:03,719 --> 00:36:06,279
Speaker 2: So I just think it's really difficult to tell. But

670
00:36:06,640 --> 00:36:11,000
Speaker 2: I did think that was abnormal because in some states,

671
00:36:11,080 --> 00:36:14,200
Speaker 2: if there's a domestic dispute call, somebody has to get

672
00:36:14,200 --> 00:36:18,080
Speaker 2: taken in for questioning or arrested in general. So I

673
00:36:18,160 --> 00:36:21,360
Speaker 2: just thought it was interesting. Their whole time they're explaining

674
00:36:21,400 --> 00:36:23,640
Speaker 2: they don't think she's a legitimate threat to him because

675
00:36:23,640 --> 00:36:26,160
Speaker 2: she's like one hundred and ten pounds and five foot tall,

676
00:36:26,239 --> 00:36:28,359
Speaker 2: right or what however tall she was, she was way

677
00:36:28,360 --> 00:36:30,719
Speaker 2: smaller than him, So I just thought it was really

678
00:36:30,760 --> 00:36:33,120
Speaker 2: interesting to see it all play out and the conversation

679
00:36:33,200 --> 00:36:35,680
Speaker 2: the officers were having as well, instead of just the

680
00:36:35,760 --> 00:36:37,160
Speaker 2: highlights of the point.

681
00:36:37,160 --> 00:36:39,480
Speaker 1: I mean, that was terrible to see that and that

682
00:36:39,560 --> 00:36:42,200
Speaker 1: mistake with the police and everything. But the worst part

683
00:36:42,200 --> 00:36:44,839
Speaker 1: of that case is his fucking parents.

684
00:36:45,080 --> 00:36:47,680
Speaker 2: Oh well, I just started getting to the part in

685
00:36:47,719 --> 00:36:49,439
Speaker 2: the I'm only like halfway through.

686
00:36:49,520 --> 00:36:52,239
Speaker 1: I just started to get like, serio, I just I

687
00:36:52,239 --> 00:36:54,560
Speaker 1: can't wrap my brain around how those people are not

688
00:36:54,640 --> 00:36:57,640
Speaker 1: in prison right now. They're just the most disgusting humans

689
00:36:57,680 --> 00:36:58,400
Speaker 1: that ever lived.

690
00:36:58,480 --> 00:37:01,279
Speaker 2: Like, well, I didn't know, I didn't really realize as

691
00:37:01,360 --> 00:37:04,880
Speaker 2: soon as the police went to the house to just

692
00:37:05,320 --> 00:37:09,000
Speaker 2: ask them if they heard from Brian, their son, They're like, yeah,

693
00:37:09,040 --> 00:37:10,920
Speaker 2: he's here, and we have an attorney and we're not

694
00:37:11,040 --> 00:37:15,000
Speaker 2: talking to you. It's not even like they necessarily knew.

695
00:37:15,960 --> 00:37:18,879
Speaker 2: The police had not been there prior to talk to them.

696
00:37:18,920 --> 00:37:21,160
Speaker 2: They had an attorney before the cops even got there.

697
00:37:21,200 --> 00:37:22,240
Speaker 1: And it is because they knew.

698
00:37:22,560 --> 00:37:23,359
Speaker 2: I know, they knew.

699
00:37:23,400 --> 00:37:28,120
Speaker 1: It's just crazy. It's just so fucked up. It's fucked

700
00:37:28,200 --> 00:37:31,640
Speaker 1: up on a humanity level of a like a morality level.

701
00:37:32,280 --> 00:37:36,560
Speaker 1: Respect for even if you hated that girl and everything,

702
00:37:36,680 --> 00:37:39,840
Speaker 1: like just respect from one parent to another, it's so

703
00:37:40,040 --> 00:37:41,840
Speaker 1: fucked up, it.

704
00:37:41,719 --> 00:37:46,080
Speaker 2: Is, and to not answer her family and say yeah anything.

705
00:37:45,760 --> 00:37:48,640
Speaker 1: Yeah, I mean go get there this one day. Yeah,

706
00:37:48,680 --> 00:37:49,880
Speaker 1: you know that always happens.

707
00:37:49,920 --> 00:37:52,920
Speaker 2: But all right, So a few weeks ago we had

708
00:37:52,960 --> 00:37:55,560
Speaker 2: talked about this woman who had been arrested for allegedly

709
00:37:55,600 --> 00:37:58,640
Speaker 2: poisoning her family's Christmas cake, which resulted in the death

710
00:37:58,680 --> 00:38:02,680
Speaker 2: of three people. She also was accused of killing her

711
00:38:02,800 --> 00:38:05,600
Speaker 2: husband a few months before that, and he had been exhumed,

712
00:38:06,040 --> 00:38:08,439
Speaker 2: and now she's been found dead in her jail sill.

713
00:38:09,040 --> 00:38:12,160
Speaker 2: All right, so this is this is actually kind of great.

714
00:38:12,760 --> 00:38:15,719
Speaker 2: So when we said that back at Christmas time, they

715
00:38:15,760 --> 00:38:19,520
Speaker 2: were exhuming the ex husband's body to see if he

716
00:38:19,880 --> 00:38:24,719
Speaker 2: had been poisoned with arsenic. Since then, they have determined

717
00:38:24,760 --> 00:38:28,440
Speaker 2: that he has been poisoned with arsenic the ex husband

718
00:38:29,239 --> 00:38:33,640
Speaker 2: and then, yes or two days ago, the husband her

719
00:38:33,680 --> 00:38:37,480
Speaker 2: news her current husband told her that he wanted a divorce,

720
00:38:37,600 --> 00:38:41,879
Speaker 2: and then she killed herself. I got so confused about

721
00:38:41,920 --> 00:38:44,520
Speaker 2: this because I'm like, I was under the assumption they

722
00:38:44,520 --> 00:38:49,560
Speaker 2: were married at the time the old husband died, So

723
00:38:49,640 --> 00:38:52,759
Speaker 2: I was like, how did I was just confused about

724
00:38:52,800 --> 00:38:55,600
Speaker 2: all of it, Like I thought that the older husband.

725
00:38:55,640 --> 00:38:59,880
Speaker 1: Funny to me that this woman is in prison for

726
00:39:00,120 --> 00:39:02,960
Speaker 1: killing what was it three people?

727
00:39:03,280 --> 00:39:05,800
Speaker 2: Well four three people with the cake and then the

728
00:39:06,400 --> 00:39:07,880
Speaker 2: form yes.

729
00:39:07,719 --> 00:39:10,040
Speaker 1: But three people that he knew of, that her husband

730
00:39:10,080 --> 00:39:12,759
Speaker 1: knew of, and they were still together. And then when

731
00:39:12,800 --> 00:39:15,120
Speaker 1: he found out that she had killed her ex husband,

732
00:39:15,120 --> 00:39:17,080
Speaker 1: he was like, Okay, this is the final straw. Now

733
00:39:17,239 --> 00:39:20,000
Speaker 1: I am I am officially filing for divorce.

734
00:39:20,800 --> 00:39:23,440
Speaker 2: It is ridiculous because the three people died, she got

735
00:39:23,520 --> 00:39:25,799
Speaker 2: arrested pretty quick, and the others that ate the cake

736
00:39:25,880 --> 00:39:28,600
Speaker 2: got really sick. So it's not like it was a

737
00:39:28,760 --> 00:39:30,520
Speaker 2: grand mystery and it was all arsenic.

738
00:39:30,600 --> 00:39:31,840
Speaker 1: Arsenic I don't.

739
00:39:31,640 --> 00:39:34,280
Speaker 2: Believe just accidentally ends up in a cake.

740
00:39:35,040 --> 00:39:40,120
Speaker 1: So oh no, And they said, oh, it was two thousand,

741
00:39:40,239 --> 00:39:42,919
Speaker 1: seven hundred times the legal limit. I guess you're allowed

742
00:39:42,960 --> 00:39:46,280
Speaker 1: to have. I wouldn't say legal limit is the correct word.

743
00:39:46,360 --> 00:39:51,480
Speaker 1: But it was arsenic naturally in Yeah, it's a natural

744
00:39:51,520 --> 00:39:55,640
Speaker 1: element in the environment, so sometimes you could find it

745
00:39:55,760 --> 00:39:58,800
Speaker 1: in people's blood that didn't really know they were even

746
00:39:58,840 --> 00:40:01,680
Speaker 1: having an exposure to it. No one was intentionally trying

747
00:40:01,680 --> 00:40:04,880
Speaker 1: to poison them, but there's level It's the same with

748
00:40:05,000 --> 00:40:08,880
Speaker 1: like lead and everything like that. You're you're not supposed

749
00:40:08,920 --> 00:40:12,320
Speaker 1: to have it. It's toxic, but there's sometimes you're exposed

750
00:40:12,320 --> 00:40:15,040
Speaker 1: to some things once in a while, but there's there's

751
00:40:15,320 --> 00:40:18,120
Speaker 1: certain levels in your body that are considered to be

752
00:40:19,200 --> 00:40:23,799
Speaker 1: a safe, safer exposure in small amounts. And that's why

753
00:40:23,800 --> 00:40:27,239
Speaker 1: they're saying, Okay, there's no way that this was accidental.

754
00:40:27,480 --> 00:40:31,120
Speaker 1: It was twenty seven hundred times. And also they found

755
00:40:31,160 --> 00:40:34,880
Speaker 1: that she was purchasing it multiple times. It's just and

756
00:40:35,000 --> 00:40:37,319
Speaker 1: that didn't tip the husband off. Then you know what's

757
00:40:37,440 --> 00:40:40,520
Speaker 1: nuts if she just killed the ex husband. This is

758
00:40:40,560 --> 00:40:42,839
Speaker 1: what makes you think about people all the time, Like

759
00:40:43,200 --> 00:40:47,000
Speaker 1: if she just killed the ex husband with the arsenic

760
00:40:47,280 --> 00:40:51,200
Speaker 1: and just stopped, no one would ever know that she

761
00:40:51,320 --> 00:40:51,839
Speaker 1: killed him.

762
00:40:52,080 --> 00:40:55,080
Speaker 2: Well, it's the same as when people are stealing from stores.

763
00:40:55,120 --> 00:40:56,959
Speaker 2: When you get greedy, it's when you get caught.

764
00:40:57,120 --> 00:40:58,040
Speaker 1: Yes, exactly.

765
00:41:06,400 --> 00:41:08,400
Speaker 2: This episode is brought to you by the Grossroom.

766
00:41:08,840 --> 00:41:12,040
Speaker 1: Guys. I think next week we are definitely tackling what

767
00:41:12,080 --> 00:41:17,839
Speaker 1: everyone wants to know, and that is beastiality. Unfortunately, while

768
00:41:17,880 --> 00:41:20,480
Speaker 1: we started doing research for this post that we're going

769
00:41:20,520 --> 00:41:24,840
Speaker 1: to be doing in the Gross Room yesterday, Maria started

770
00:41:24,960 --> 00:41:28,839
Speaker 1: googling things and really bad things. Started coming up on

771
00:41:28,840 --> 00:41:32,239
Speaker 1: our Google search. So I'm like, yeah, dude, like, I

772
00:41:32,239 --> 00:41:35,120
Speaker 1: don't know, and we're gonna tackle this in the post,

773
00:41:35,239 --> 00:41:37,640
Speaker 1: like what's legal, what's not, because we know it's legal

774
00:41:37,640 --> 00:41:40,719
Speaker 1: in some states. But it's really scary that some of

775
00:41:40,719 --> 00:41:43,800
Speaker 1: these images could just pop up that easily with one

776
00:41:44,160 --> 00:41:46,799
Speaker 1: term put in the Google search. So okay, well, I

777
00:41:46,840 --> 00:41:50,560
Speaker 1: didn't see any images. I googled the word to see

778
00:41:50,560 --> 00:41:53,799
Speaker 1: how to spell it to start the draft post, and

779
00:41:53,840 --> 00:41:56,600
Speaker 1: then the second So the first link was like Wikipedia,

780
00:41:56,680 --> 00:41:59,839
Speaker 1: and the second link was a porn link to watch it,

781
00:42:00,040 --> 00:42:03,040
Speaker 1: which I don't really want to see. So I just

782
00:42:03,080 --> 00:42:05,040
Speaker 1: could not believe it came up that easily.

783
00:42:05,360 --> 00:42:05,600
Speaker 2: Yeah.

784
00:42:05,880 --> 00:42:08,240
Speaker 1: Really, it's really not saying it's good that you didn't

785
00:42:08,400 --> 00:42:11,520
Speaker 1: click on the images, because I've done that before by accident,

786
00:42:11,520 --> 00:42:13,720
Speaker 1: and I'm like, fuck, just add this to my crazy

787
00:42:13,760 --> 00:42:17,279
Speaker 1: Google searches, right, But so yeah, we're gonna tackle that

788
00:42:17,360 --> 00:42:21,319
Speaker 1: this week, of course, and less anything crazier than that,

789
00:42:21,600 --> 00:42:25,120
Speaker 1: which seems impossible, but you never know. If some celebrity

790
00:42:25,160 --> 00:42:27,960
Speaker 1: dies or something, usually will jump on that. But yeah,

791
00:42:28,000 --> 00:42:29,560
Speaker 1: we have a lot of good stuff coming up in

792
00:42:29,560 --> 00:42:30,839
Speaker 1: the gross room, so check it out.

793
00:42:31,200 --> 00:42:33,080
Speaker 2: Yeah, head over to the grosser room dot com for

794
00:42:33,160 --> 00:42:37,040
Speaker 2: more info into sign up. Okay, let's get into medical news.

795
00:42:37,600 --> 00:42:40,040
Speaker 2: So in Brazil, this fourteen year old boy started throwing

796
00:42:40,120 --> 00:42:42,920
Speaker 2: up and developed a limp in his leg. At first,

797
00:42:42,960 --> 00:42:45,200
Speaker 2: he told his dad he got injured while playing, and

798
00:42:45,239 --> 00:42:47,920
Speaker 2: then as he started getting sicker throughout the day, he

799
00:42:48,000 --> 00:42:51,400
Speaker 2: finally admitted that he mixed a dead butterfly in water

800
00:42:51,560 --> 00:42:54,879
Speaker 2: and then injected the liquid from that mixture into his leg.

801
00:42:56,040 --> 00:42:59,200
Speaker 1: This so one of the grocery members actually sent us

802
00:42:59,200 --> 00:43:01,879
Speaker 1: this case, Yester, because I hadn't heard of it, and

803
00:43:02,160 --> 00:43:04,799
Speaker 1: they're thinking that he carried it out as part of

804
00:43:04,840 --> 00:43:10,200
Speaker 1: an online social media challenge, which of course I'm not

805
00:43:10,239 --> 00:43:12,920
Speaker 1: sure if he mixed it with water, because there are

806
00:43:12,960 --> 00:43:15,560
Speaker 1: some talks that he may have mixed it with a chemical.

807
00:43:15,719 --> 00:43:19,479
Speaker 1: And they're not exactly sure why he died, so there's

808
00:43:20,239 --> 00:43:22,560
Speaker 1: a variety of different reasons that could have caused him

809
00:43:22,560 --> 00:43:24,760
Speaker 1: to die. He could have had some kind of allergic reaction.

810
00:43:25,320 --> 00:43:29,759
Speaker 1: They don't there's not much research on the toxicity of

811
00:43:29,880 --> 00:43:33,399
Speaker 1: humans for butterflies because people aren't typically injecting it into

812
00:43:33,480 --> 00:43:37,640
Speaker 1: their body like this, so it could be a toxic reaction,

813
00:43:38,320 --> 00:43:43,719
Speaker 1: allergic reaction. The large chunks being injected into a vein

814
00:43:43,800 --> 00:43:46,520
Speaker 1: could have caused some kind of an embolism of sorts.

815
00:43:46,840 --> 00:43:50,120
Speaker 1: So there's all different kinds of reasons that this kid

816
00:43:50,160 --> 00:43:54,560
Speaker 1: could have died. But what fucking social media challenge is this? Now?

817
00:43:55,320 --> 00:43:57,799
Speaker 2: I just have many questions as a fourteen year old,

818
00:43:57,960 --> 00:44:00,680
Speaker 2: why are we injecting anything into our body at all?

819
00:44:01,080 --> 00:44:03,560
Speaker 2: Where is a fourteen year old getting a needle to

820
00:44:03,640 --> 00:44:05,440
Speaker 2: do it? Like?

821
00:44:05,560 --> 00:44:08,640
Speaker 1: I have syringes at my house for Lucia's needles, and

822
00:44:09,040 --> 00:44:12,000
Speaker 1: parents their kids are diabetic whatever I mean, I have

823
00:44:12,040 --> 00:44:14,320
Speaker 1: a box and syringe in my drawer. It's just that

824
00:44:14,520 --> 00:44:18,080
Speaker 1: people got the money around their house. Yeah, I just

825
00:44:18,280 --> 00:44:21,480
Speaker 1: I have parents and stuff. Like the people use syringes

826
00:44:21,480 --> 00:44:24,440
Speaker 1: for medications, so they're easy. I think you could probably

827
00:44:24,480 --> 00:44:26,799
Speaker 1: just go buy them at CBS if you really wanted to.

828
00:44:27,840 --> 00:44:32,720
Speaker 2: I just think we need to start educating children about it.

829
00:44:32,800 --> 00:44:35,080
Speaker 2: Like it to me, it's as simple as if all

830
00:44:35,120 --> 00:44:37,880
Speaker 2: your friends are gonna go jump off a bridge, are

831
00:44:37,920 --> 00:44:40,399
Speaker 2: you gonna go do it too? But I really think

832
00:44:40,440 --> 00:44:44,720
Speaker 2: with technology that philosophy is just totally out the window

833
00:44:44,760 --> 00:44:47,200
Speaker 2: and kids are just doing the dumbest shit. Why would

834
00:44:47,200 --> 00:44:52,359
Speaker 2: you ever inject something into your body, especially if it's

835
00:44:52,480 --> 00:44:53,000
Speaker 2: just kids.

836
00:44:53,080 --> 00:44:56,239
Speaker 1: Just listen. I was reading in this article that there

837
00:44:56,320 --> 00:44:58,719
Speaker 1: was this other challenge, which it seems like it was

838
00:44:58,760 --> 00:45:02,440
Speaker 1: an older person, so not a fourteen year old, maybe

839
00:45:02,480 --> 00:45:06,279
Speaker 1: an older teenager or young adult had done some kind

840
00:45:06,360 --> 00:45:09,400
Speaker 1: of a standing in an ice bucket challenge and stood

841
00:45:09,480 --> 00:45:13,319
Speaker 1: in ice water mixed with salt for fifteen minutes and

842
00:45:13,440 --> 00:45:16,879
Speaker 1: had to get their legs amputated or their feet amputated.

843
00:45:16,920 --> 00:45:20,080
Speaker 1: I'm like, what the fuck are people thinking? But the

844
00:45:20,160 --> 00:45:22,680
Speaker 1: thing is is that kids aren't thinking. And you could

845
00:45:22,840 --> 00:45:26,719
Speaker 1: use the bridge analysis, but it doesn't help because then

846
00:45:26,760 --> 00:45:29,600
Speaker 1: if it's not an actual bridge, then then they don't

847
00:45:29,680 --> 00:45:33,040
Speaker 1: understand that it's bad. You know, like if it's a

848
00:45:33,080 --> 00:45:35,440
Speaker 1: situation where children are standing at a bridge and the

849
00:45:35,520 --> 00:45:37,440
Speaker 1: kids are jumping over, I think at this point my

850
00:45:37,520 --> 00:45:40,280
Speaker 1: kids wouldn't do that, But then what's the next bridge?

851
00:45:40,280 --> 00:45:42,160
Speaker 1: Putting a water bottle up to your lips and doing

852
00:45:42,200 --> 00:45:46,560
Speaker 1: the Kaylie Jenner lip challenge like everybody else is doing it,

853
00:45:46,600 --> 00:45:48,040
Speaker 1: but then you do it and you have a giant

854
00:45:48,080 --> 00:45:50,799
Speaker 1: hickey on your face, you know, like they don't They

855
00:45:50,880 --> 00:45:54,120
Speaker 1: just don't know. Their brains don't have that capability to

856
00:45:54,239 --> 00:45:58,960
Speaker 1: know right from wrong as much, and especially teenagers are

857
00:45:59,000 --> 00:46:02,560
Speaker 1: known to not teenagers are a weird thing because they

858
00:46:02,600 --> 00:46:06,400
Speaker 1: have this super undeveloped brain, but they look bigger and

859
00:46:06,440 --> 00:46:09,040
Speaker 1: they're starting to look like adults. So you just assume

860
00:46:09,160 --> 00:46:11,960
Speaker 1: that that they're thinking the same way you are, and

861
00:46:12,000 --> 00:46:14,640
Speaker 1: they're just not even a little bit and they make

862
00:46:14,719 --> 00:46:17,719
Speaker 1: terrible decisions all the time, with trying drugs and this

863
00:46:17,760 --> 00:46:21,640
Speaker 1: and that and alcohol and driving. And I just think

864
00:46:21,880 --> 00:46:24,480
Speaker 1: back in my day, the internet challenges were like the

865
00:46:24,480 --> 00:46:28,480
Speaker 1: cinnamon challenge, the saltine challenge, the dal challenge is deadly too.

866
00:46:29,400 --> 00:46:31,319
Speaker 1: I don't know if anybody actually died from it, but

867
00:46:31,360 --> 00:46:34,240
Speaker 1: it's a terrible idea. It's a terrible idea.

868
00:46:34,320 --> 00:46:37,319
Speaker 2: But like, all right, you're just I understand doing something

869
00:46:37,440 --> 00:46:39,319
Speaker 2: like that because I did it.

870
00:46:39,400 --> 00:46:41,640
Speaker 1: Obviously you did it too, So like I don't even

871
00:46:41,640 --> 00:46:44,560
Speaker 1: what he did. I did. It was fucking terrible. But

872
00:46:44,840 --> 00:46:47,640
Speaker 1: just like this is dumb. My point is it's cinnamon.

873
00:46:47,719 --> 00:46:48,480
Speaker 1: It's a spice.

874
00:46:48,880 --> 00:46:52,000
Speaker 2: It's not like a needle and injecting something into your

875
00:46:52,040 --> 00:46:57,560
Speaker 2: body like use your brain. Oh, I don't know, all right,

876
00:46:57,600 --> 00:46:59,799
Speaker 2: So this sext wray is this thirty eight year old

877
00:46:59,840 --> 00:47:01,680
Speaker 2: one and went to the hospital with headaches and a

878
00:47:01,719 --> 00:47:04,680
Speaker 2: burning sensation in her feet. She said the symptoms came

879
00:47:04,719 --> 00:47:08,600
Speaker 2: on after she went on this vacation between Thailand and

880
00:47:08,680 --> 00:47:11,400
Speaker 2: Japan and Hawaii, and at first doctor sent her on

881
00:47:11,400 --> 00:47:14,720
Speaker 2: her way with anxiety medication, but of course the symptoms

882
00:47:14,719 --> 00:47:17,680
Speaker 2: started progressing and going throughout her body. So they did

883
00:47:17,680 --> 00:47:19,600
Speaker 2: some further testing and what did they see.

884
00:47:20,560 --> 00:47:25,120
Speaker 1: Oh, she had parasites all over her body. I don't

885
00:47:25,239 --> 00:47:27,920
Speaker 1: blame I don't blame the emergency room because if you

886
00:47:28,080 --> 00:47:32,120
Speaker 1: go in there and you're just this, you're saying, I

887
00:47:32,160 --> 00:47:35,600
Speaker 1: have a headache, and I have like the jitters, I

888
00:47:35,719 --> 00:47:38,400
Speaker 1: have like this shaky feeling in my legs and stuff.

889
00:47:39,960 --> 00:47:42,600
Speaker 1: I don't think that it's warranted to do a full

890
00:47:42,640 --> 00:47:45,839
Speaker 1: body MRI on a person because of that. That's just outrageous.

891
00:47:45,920 --> 00:47:50,719
Speaker 1: And in America, I mean maybe, I don't know if

892
00:47:50,719 --> 00:47:53,640
Speaker 1: she had said that she had just traveled to these

893
00:47:53,640 --> 00:47:55,759
Speaker 1: people at the emergency room, which would have been a

894
00:47:55,760 --> 00:47:58,919
Speaker 1: clue that maybe something was going on. But this isn't

895
00:47:58,920 --> 00:48:01,359
Speaker 1: a common occurrence in America, so it's not on the

896
00:48:01,400 --> 00:48:05,360
Speaker 1: top of American doctor's minds that something like this could happen.

897
00:48:06,520 --> 00:48:09,120
Speaker 2: Well, how did they get to the point then when

898
00:48:09,120 --> 00:48:14,280
Speaker 2: they're doing it, because she's continually pushing for it and complaining, Well,

899
00:48:14,760 --> 00:48:17,440
Speaker 2: she went to the She went to the hospital again

900
00:48:18,120 --> 00:48:20,920
Speaker 2: and I don't know what, but they gave her a

901
00:48:21,000 --> 00:48:23,840
Speaker 2: lumbar puncture, so they put a needle and take spinal

902
00:48:23,880 --> 00:48:26,759
Speaker 2: fluid out. And in order to do that, they had

903
00:48:26,800 --> 00:48:29,399
Speaker 2: to something had to trigger them to do that, because

904
00:48:29,400 --> 00:48:30,760
Speaker 2: they don't just do that on people.

905
00:48:30,800 --> 00:48:34,320
Speaker 1: I don't know if she was having a lot of times,

906
00:48:34,320 --> 00:48:36,719
Speaker 1: if people have like a change in mental status or

907
00:48:36,760 --> 00:48:39,680
Speaker 1: some sort of certain blood work comes up and looks funny,

908
00:48:39,920 --> 00:48:44,319
Speaker 1: which I'm sure it did because she had such it was.

909
00:48:44,400 --> 00:48:47,359
Speaker 1: It was such an extreme parasitic infection. I'm sure some

910
00:48:47,440 --> 00:48:51,360
Speaker 1: of her markers were elevated. So they did this lumbar

911
00:48:51,400 --> 00:48:56,719
Speaker 1: puncture and discovered she had a roundworm infection called Angio's

912
00:48:56,719 --> 00:49:00,640
Speaker 1: strong eliasis and it is also now as a rat

913
00:49:00,719 --> 00:49:07,759
Speaker 1: lungworm who apes these things. I don't know, but it

914
00:49:07,840 --> 00:49:11,520
Speaker 1: causes inflammation surrounding the brain, spinal cord, and nerves. So

915
00:49:11,640 --> 00:49:14,640
Speaker 1: this makes sense why she was having this nerve sensation

916
00:49:14,719 --> 00:49:18,719
Speaker 1: in her legs as well as the headaches. And it's

917
00:49:18,760 --> 00:49:23,160
Speaker 1: really kind of gross. So a snail or slug eats

918
00:49:23,400 --> 00:49:26,640
Speaker 1: rap and that's how they get it, and then a

919
00:49:26,719 --> 00:49:31,080
Speaker 1: human becomes infected because they ingest the larva from eating

920
00:49:31,480 --> 00:49:36,480
Speaker 1: undercooked snail or slug or contaminated vegetables, especially leafy greens

921
00:49:36,480 --> 00:49:39,960
Speaker 1: that were touched by infected slugs, and then larva migrate

922
00:49:40,000 --> 00:49:42,360
Speaker 1: into the digestive track and then they move into the

923
00:49:42,440 --> 00:49:44,920
Speaker 1: muscle and brain. So when you look at the imaging

924
00:49:44,960 --> 00:49:47,520
Speaker 1: from this lady, it just looks like all of her

925
00:49:47,600 --> 00:49:49,920
Speaker 1: muscles have these like little lines in them, and all

926
00:49:49,960 --> 00:49:51,440
Speaker 1: of them are parasites.

927
00:49:52,560 --> 00:49:55,000
Speaker 2: So I guess when they asked her about her trip

928
00:49:55,000 --> 00:49:57,000
Speaker 2: and what she was eating and everything, she was eating

929
00:49:57,040 --> 00:49:59,400
Speaker 2: a lot of raw sushi, So they're assuming that is

930
00:49:59,440 --> 00:50:00,400
Speaker 2: where it came from.

931
00:50:01,080 --> 00:50:05,200
Speaker 1: Yeah, And I guess that this particular parasitic infection is

932
00:50:05,960 --> 00:50:08,920
Speaker 1: most common in Hawaii, so that's where they thought think

933
00:50:09,040 --> 00:50:11,960
Speaker 1: she picked it up. I don't think that it's it's

934
00:50:12,000 --> 00:50:14,279
Speaker 1: like a huge thing that everybody in Hawaii is getting this,

935
00:50:14,400 --> 00:50:16,600
Speaker 1: but there's cases of it, so that's where they think

936
00:50:16,640 --> 00:50:20,560
Speaker 1: that she got it. And the cool thing about parasites

937
00:50:20,640 --> 00:50:22,759
Speaker 1: if you get them treated in time, because this could

938
00:50:22,840 --> 00:50:26,000
Speaker 1: actually kill you because it could inflame the membrane surrounding

939
00:50:26,000 --> 00:50:27,840
Speaker 1: the brain so bad that it could lead to seizure

940
00:50:27,880 --> 00:50:31,640
Speaker 1: US strokes. But the cool thing is is that they

941
00:50:31,680 --> 00:50:36,040
Speaker 1: gave her medication straw. They gave her medications anti parasitic

942
00:50:36,080 --> 00:50:40,000
Speaker 1: and also steroids, and within six days she was essentially

943
00:50:40,120 --> 00:50:44,000
Speaker 1: feeling a lot better and went home. And you just

944
00:50:44,040 --> 00:50:46,120
Speaker 1: need the right medication to kill it. It's almost the

945
00:50:46,160 --> 00:50:49,560
Speaker 1: same as having a like a bacterial infection or a

946
00:50:49,640 --> 00:50:51,680
Speaker 1: viral infection. You just need to be able to get

947
00:50:51,800 --> 00:50:54,400
Speaker 1: rid of it. And so they're easy to get rid

948
00:50:54,480 --> 00:50:58,000
Speaker 1: of most of the time. But imagine how this lady

949
00:50:58,080 --> 00:50:59,840
Speaker 1: feels now, Well.

950
00:50:59,800 --> 00:51:02,960
Speaker 2: I can't imagine it. I would want to vomit everywhere

951
00:51:03,000 --> 00:51:05,920
Speaker 2: thinking that those things were like invading my entire body.

952
00:51:05,960 --> 00:51:07,720
Speaker 1: But at least she took care of it and pushed

953
00:51:07,719 --> 00:51:10,479
Speaker 1: for treatment. And yeah, and like round worms, I've seen

954
00:51:10,520 --> 00:51:13,680
Speaker 1: them before. They look like they look like worms. They're

955
00:51:14,440 --> 00:51:19,000
Speaker 1: it's not like these microscopic things that you can't really see.

956
00:51:19,080 --> 00:51:21,480
Speaker 1: It's when you look at it, it looks they look

957
00:51:21,600 --> 00:51:26,600
Speaker 1: like a smaller maybe than an earthworm and not they

958
00:51:26,640 --> 00:51:28,880
Speaker 1: don't have the lines like an earthworm. They're very smooth

959
00:51:28,920 --> 00:51:31,399
Speaker 1: and usually white in color. But they look like they

960
00:51:31,400 --> 00:51:34,840
Speaker 1: look like worms. Yeah, and the thought of those moving

961
00:51:34,880 --> 00:51:39,400
Speaker 1: inside of your muscles and stuff is terrifying. Ye imagine

962
00:51:39,400 --> 00:51:42,080
Speaker 1: looking back and just being like, oh my god, ugh,

963
00:51:42,160 --> 00:51:44,960
Speaker 1: I can't imagine. No, Okay.

964
00:51:45,000 --> 00:51:47,560
Speaker 2: Back in twenty ten, this guy in his fifties started

965
00:51:47,600 --> 00:51:51,640
Speaker 2: having concerning symptoms like headaches, distress, and slurred speech. He

966
00:51:51,680 --> 00:51:53,879
Speaker 2: went to the doctors, but they also blew it off

967
00:51:53,920 --> 00:51:56,400
Speaker 2: his stress, and at some point the doctor suggested he

968
00:51:56,520 --> 00:51:59,959
Speaker 2: was faking his symptoms. So eventually he got a seat

969
00:52:00,640 --> 00:52:03,360
Speaker 2: and doctors did in fact find a tumor on his brain.

970
00:52:05,040 --> 00:52:07,759
Speaker 1: This is this is almost every single case in my

971
00:52:07,800 --> 00:52:11,560
Speaker 1: book right that that people were having these symptoms and

972
00:52:11,640 --> 00:52:15,319
Speaker 1: went to the doctor. I remember I had this one

973
00:52:15,440 --> 00:52:19,240
Speaker 1: under the adrenal chapter of this woman who was having

974
00:52:19,280 --> 00:52:23,359
Speaker 1: Addison's disease and she was going to the doctor. She

975
00:52:23,440 --> 00:52:26,359
Speaker 1: was losing so much weight and they were accusing her

976
00:52:26,400 --> 00:52:29,680
Speaker 1: of having an eating disorder, and here she had pathology

977
00:52:29,719 --> 00:52:33,759
Speaker 1: in her adrenal gland that was being ignored. And one

978
00:52:33,800 --> 00:52:38,640
Speaker 1: of one of our friends, actually her daughter started having

979
00:52:38,719 --> 00:52:42,319
Speaker 1: all of these crazy symptoms as a teenager, and she

980
00:52:42,440 --> 00:52:45,040
Speaker 1: kept bringing her to the doctor and bringing her and

981
00:52:45,080 --> 00:52:47,960
Speaker 1: they kept telling her that her daughter was anorexic and

982
00:52:48,040 --> 00:52:49,680
Speaker 1: all this stuff, and then it turns out that she

983
00:52:49,719 --> 00:52:55,399
Speaker 1: has silliac disease. So it's it's just I hear this

984
00:52:55,520 --> 00:52:58,280
Speaker 1: every single day of my life, between just real life

985
00:52:58,280 --> 00:53:01,240
Speaker 1: with your family and my followers, people in the cross

986
00:53:01,360 --> 00:53:05,880
Speaker 1: room saying that they're seriously blown off by doctors and

987
00:53:05,880 --> 00:53:08,759
Speaker 1: then they end up having something that's serious.

988
00:53:09,040 --> 00:53:11,400
Speaker 2: Now I find a hard time with this in particular,

989
00:53:11,640 --> 00:53:14,720
Speaker 2: because if you're complaining of any head stuff, why wouldn't

990
00:53:14,760 --> 00:53:16,839
Speaker 2: you just do a scan to rule it out. I mean,

991
00:53:17,120 --> 00:53:20,000
Speaker 2: when I went a couple of years ago for my migraines,

992
00:53:20,040 --> 00:53:22,120
Speaker 2: it was the first thing we talked about was getting

993
00:53:22,120 --> 00:53:24,200
Speaker 2: an MRI just to rule out any problems.

994
00:53:25,400 --> 00:53:30,319
Speaker 1: Well, I'm not sure. I mean, I don't believe that

995
00:53:30,400 --> 00:53:33,239
Speaker 1: this was in this country, Okay, so I don't know

996
00:53:33,280 --> 00:53:35,799
Speaker 1: what the protocol is. It is in the UK, yeah,

997
00:53:35,840 --> 00:53:39,640
Speaker 1: And I don't know what the protocol is there if

998
00:53:39,800 --> 00:53:43,040
Speaker 1: I mean they were saying the family was saying he

999
00:53:43,160 --> 00:53:47,640
Speaker 1: was having jumbled speech and severe headaches, And I feel

1000
00:53:47,719 --> 00:53:50,200
Speaker 1: like here, if you went to the hospital, they would

1001
00:53:50,200 --> 00:53:53,759
Speaker 1: definitely say okay, like we're gonna check to make sure

1002
00:53:53,800 --> 00:53:56,319
Speaker 1: you're not having a stroke or something. Like that, but

1003
00:53:57,040 --> 00:54:00,440
Speaker 1: for whatever reason, they're I'm not sure why they didn't

1004
00:54:00,480 --> 00:54:04,319
Speaker 1: work it up. And honestly, in this case, like I

1005
00:54:04,320 --> 00:54:06,840
Speaker 1: don't know if it really matters because he had the

1006
00:54:06,880 --> 00:54:10,280
Speaker 1: brain tumor he had was called a glioblastomen they're they're

1007
00:54:10,320 --> 00:54:14,200
Speaker 1: malignant and they're very deadly tumors, and even if they

1008
00:54:14,200 --> 00:54:16,600
Speaker 1: found it a month or two earlier, it wasn't gonna

1009
00:54:16,800 --> 00:54:19,680
Speaker 1: change anything. But that doesn't matter because there are lots

1010
00:54:19,680 --> 00:54:22,319
Speaker 1: of times that people get blown off and they had

1011
00:54:22,360 --> 00:54:26,160
Speaker 1: something that could have definitely been taken care of way

1012
00:54:26,239 --> 00:54:29,000
Speaker 1: before it did get taken care of, and then it

1013
00:54:29,160 --> 00:54:33,160
Speaker 1: and then it's advanced disease. At that point, I thought

1014
00:54:33,160 --> 00:54:36,040
Speaker 1: this story was actually interesting because of the article that

1015
00:54:36,120 --> 00:54:42,080
Speaker 1: you wrote last week about faking cancer, because people actually

1016
00:54:42,120 --> 00:54:44,919
Speaker 1: do fake cancer, like a lot of people do. Well,

1017
00:54:45,000 --> 00:54:46,319
Speaker 1: this is what I was gonna say.

1018
00:54:46,360 --> 00:54:49,400
Speaker 2: So last week, so a couple of weeks ago, we

1019
00:54:49,480 --> 00:54:52,040
Speaker 2: had that story about the new Netflix show coming out

1020
00:54:52,040 --> 00:54:55,000
Speaker 2: called Apple Cider Vinegar, which was about the girl Belle

1021
00:54:55,040 --> 00:54:56,880
Speaker 2: Gibson that fake cancer.

1022
00:54:56,960 --> 00:55:00,600
Speaker 1: Oh yeah, I listen, Like I know that you're not

1023
00:55:00,640 --> 00:55:03,320
Speaker 1: an eighties kid or whatever, but when you say Bell Gibson,

1024
00:55:03,360 --> 00:55:05,359
Speaker 1: I'm just like, is that really her fut name?

1025
00:55:05,480 --> 00:55:08,160
Speaker 2: They brought up the joke and the show too.

1026
00:55:08,719 --> 00:55:10,960
Speaker 1: Is it really her name? Because isn't she? I think

1027
00:55:11,000 --> 00:55:12,279
Speaker 1: her name's Anna.

1028
00:55:12,000 --> 00:55:15,400
Speaker 2: Bell Gibson, but she goes by Yi she because.

1029
00:55:15,200 --> 00:55:17,879
Speaker 1: She's like kind of she's like out of her mind.

1030
00:55:17,960 --> 00:55:21,040
Speaker 2: Right, Okay, so this I watched the show. I thought

1031
00:55:21,080 --> 00:55:24,560
Speaker 2: the show was very good. I was prompted to write

1032
00:55:24,560 --> 00:55:27,480
Speaker 2: an article last week about other people that fake cancer

1033
00:55:27,560 --> 00:55:30,640
Speaker 2: because I notice every couple of years there's a trend

1034
00:55:30,719 --> 00:55:33,759
Speaker 2: of true crime. It's like starts with murder, and then

1035
00:55:33,920 --> 00:55:36,960
Speaker 2: a couple of years ago was all like financial crimes

1036
00:55:37,040 --> 00:55:39,759
Speaker 2: or people that were love bombing people and stealing all

1037
00:55:39,760 --> 00:55:42,360
Speaker 2: their money, which I know somebody in real life that

1038
00:55:42,400 --> 00:55:44,799
Speaker 2: did that, by the way, and went to jail for it.

1039
00:55:45,960 --> 00:55:50,640
Speaker 2: And now it's people that fake illnesses and steal money

1040
00:55:51,360 --> 00:55:52,440
Speaker 2: from other people.

1041
00:55:52,760 --> 00:55:55,640
Speaker 1: So in my article, I first.

1042
00:55:55,480 --> 00:55:59,439
Speaker 2: Wrote about Amanda Riley, who first was the I guess

1043
00:55:59,480 --> 00:56:01,920
Speaker 2: she was the first example of this in true crime.

1044
00:56:03,239 --> 00:56:06,399
Speaker 2: This podcast came out called Scamanda, and it went through

1045
00:56:06,400 --> 00:56:08,759
Speaker 2: and broke down her whole scam. And then there was

1046
00:56:08,800 --> 00:56:12,920
Speaker 2: the writer for Grey's Anatomy, Elizabeth Finch. She faked having cancer.

1047
00:56:13,000 --> 00:56:16,279
Speaker 2: And then most notably is Belle Gibson, who robbed all

1048
00:56:16,320 --> 00:56:20,160
Speaker 2: these people of their money. She was taking money, and

1049
00:56:20,200 --> 00:56:23,040
Speaker 2: she said she was donating it, donating it to charities

1050
00:56:23,080 --> 00:56:25,440
Speaker 2: and families that needed it for surgeries, but she was

1051
00:56:25,480 --> 00:56:29,240
Speaker 2: just keeping it for herself. And furthermore, she was telling

1052
00:56:29,280 --> 00:56:32,800
Speaker 2: all of her following that she had glioblastoma as well

1053
00:56:32,960 --> 00:56:34,800
Speaker 2: and was told she was going to die and cured

1054
00:56:34,840 --> 00:56:39,240
Speaker 2: herself with holistic healing, and so all these real cancer

1055
00:56:39,320 --> 00:56:42,000
Speaker 2: patients were following her thinking they could cure themselves with

1056
00:56:42,040 --> 00:56:44,759
Speaker 2: holistic killing as well, and then dying because of that.

1057
00:56:45,400 --> 00:56:47,200
Speaker 2: I can't believe she's not in jail for the rest

1058
00:56:47,200 --> 00:56:48,680
Speaker 2: of her life. But I don't know what the laws

1059
00:56:48,719 --> 00:56:51,120
Speaker 2: are in Australia, so whatever.

1060
00:56:51,480 --> 00:56:56,640
Speaker 1: Yeah, but I know someone peripherally that that faked cancer.

1061
00:56:56,800 --> 00:56:59,759
Speaker 1: I just knew because listen, like, if you're ever gonna

1062
00:56:59,800 --> 00:57:02,200
Speaker 1: fake cancer, you definitely can't ever tell it to a

1063
00:57:02,239 --> 00:57:05,600
Speaker 1: person that is a pathology person, because we'll call bullshit

1064
00:57:05,680 --> 00:57:09,400
Speaker 1: right off the bat. Something won't make sense exactly. Nurses

1065
00:57:09,440 --> 00:57:13,319
Speaker 1: and doctors too. It's just and and then Laura told

1066
00:57:13,400 --> 00:57:17,280
Speaker 1: me that we also know another person that faked cancer,

1067
00:57:17,280 --> 00:57:20,440
Speaker 1: and I was like, oh, and that person's even more peripheral,

1068
00:57:20,440 --> 00:57:22,880
Speaker 1: but I know who she was talking about, and it's

1069
00:57:22,960 --> 00:57:25,480
Speaker 1: just like, just to think that there's two people that

1070
00:57:25,600 --> 00:57:28,040
Speaker 1: I know through a friend or something that has fake

1071
00:57:28,120 --> 00:57:29,560
Speaker 1: cancer is outrageous to me.

1072
00:57:30,520 --> 00:57:32,840
Speaker 2: Well, it really is. And in most of these cases,

1073
00:57:32,880 --> 00:57:35,920
Speaker 2: the people are picking rare cancers that people don't have

1074
00:57:36,000 --> 00:57:38,640
Speaker 2: a lot of knowledge about, and also there's less of

1075
00:57:38,680 --> 00:57:41,680
Speaker 2: a likelihood they will run into another person that has

1076
00:57:41,720 --> 00:57:43,760
Speaker 2: the same exact cancer as than to call them out

1077
00:57:43,800 --> 00:57:48,040
Speaker 2: on their bullshit. And I just find it really interesting

1078
00:57:48,120 --> 00:57:52,960
Speaker 2: because it's like, with Belle Gibson in particular, I'm seeing

1079
00:57:53,000 --> 00:57:56,600
Speaker 2: her as this person that utilized Instagram as soon as

1080
00:57:56,600 --> 00:57:59,080
Speaker 2: it came out, She formed this brand, she got an

1081
00:57:59,120 --> 00:58:00,800
Speaker 2: app on the App Store, she was one of the

1082
00:58:00,840 --> 00:58:03,520
Speaker 2: first apps to be featured on the Apple Watch. She

1083
00:58:03,640 --> 00:58:06,520
Speaker 2: gets this monster deal with Simon and Schuster to put

1084
00:58:06,520 --> 00:58:09,720
Speaker 2: out her cookbook, and I'm like, if you were this brilliant,

1085
00:58:09,760 --> 00:58:12,680
Speaker 2: why couldn't you have just started a legitimate brand?

1086
00:58:12,880 --> 00:58:14,680
Speaker 1: I now, right, because.

1087
00:58:14,800 --> 00:58:16,240
Speaker 2: Yeah, And you're just like, how are you going to

1088
00:58:16,280 --> 00:58:20,200
Speaker 2: believe anything? And then when people start questioning her cancer diagnosis,

1089
00:58:20,480 --> 00:58:24,640
Speaker 2: then she starts saying her cancer that was allegedly cured

1090
00:58:24,680 --> 00:58:27,040
Speaker 2: in her brain has now spread to her uterus and

1091
00:58:27,040 --> 00:58:30,560
Speaker 2: all throughout her body. So all these people, that's when

1092
00:58:30,600 --> 00:58:33,160
Speaker 2: she really started tumbling down when she said it spread.

1093
00:58:34,200 --> 00:58:35,160
Speaker 1: So I don't know.

1094
00:58:35,240 --> 00:58:37,560
Speaker 2: I guess my ramble here is that I wrote this

1095
00:58:37,720 --> 00:58:40,680
Speaker 2: article talking about these three notable cases, and I asked

1096
00:58:40,720 --> 00:58:42,800
Speaker 2: at the end of my article, of anybody in the

1097
00:58:42,840 --> 00:58:44,360
Speaker 2: gross room new somebody that did this.

1098
00:58:44,480 --> 00:58:45,360
Speaker 1: And I cannot.

1099
00:58:45,080 --> 00:58:47,800
Speaker 2: Believe the amount of people that know somebody that faked

1100
00:58:47,880 --> 00:58:50,080
Speaker 2: cancer to this capacity.

1101
00:58:50,400 --> 00:58:52,120
Speaker 1: I know, it's just so crazy.

1102
00:58:52,320 --> 00:58:58,360
Speaker 2: There's a difference between being gross misdiagnosed and then finding

1103
00:58:58,400 --> 00:59:00,560
Speaker 2: out you don't really have that, and then these people

1104
00:59:00,560 --> 00:59:03,480
Speaker 2: that just totally fabricated out of thin air. They forge

1105
00:59:03,560 --> 00:59:07,920
Speaker 2: and photoshop medical documents to try to back up their claims.

1106
00:59:08,080 --> 00:59:10,480
Speaker 2: They in most of these cases, the women shave their

1107
00:59:10,480 --> 00:59:13,000
Speaker 2: heads or put fake ports on their body. I know.

1108
00:59:13,160 --> 00:59:15,760
Speaker 1: That's what's crazy, because all of the pictures that used

1109
00:59:15,760 --> 00:59:18,040
Speaker 1: in the gross room of these particular women, they all

1110
00:59:18,080 --> 00:59:22,600
Speaker 1: have this weird like shaved haircut. It's just really bizarre.

1111
00:59:22,960 --> 00:59:24,960
Speaker 1: It is really would just do that. I don't I

1112
00:59:25,000 --> 00:59:29,360
Speaker 1: don't like that at all. It's just really it's but I'm.

1113
00:59:29,160 --> 00:59:34,560
Speaker 2: Thinking this guy really does have gleoblastoma, and his doctor

1114
00:59:34,680 --> 00:59:37,560
Speaker 2: suggested he's faking his symptoms. When these women were up

1115
00:59:37,560 --> 00:59:41,200
Speaker 2: to this for years and nobody called them out on it,

1116
00:59:41,200 --> 00:59:44,000
Speaker 2: It's it's a very weird behavioral trait. I just will

1117
00:59:44,040 --> 00:59:47,960
Speaker 2: never understand it. All right, should we get into this

1118
00:59:48,040 --> 00:59:50,720
Speaker 2: is probably the most fucked up one of the week,

1119
00:59:51,240 --> 00:59:53,960
Speaker 2: is all right? So in Georgia, this woman in her

1120
00:59:54,000 --> 00:59:56,080
Speaker 2: thirties decided she wanted to have a baby, and she

1121
00:59:56,120 --> 00:59:58,720
Speaker 2: got pregnant through IVF using a sperm donor.

1122
00:59:59,320 --> 01:00:00,280
Speaker 1: She is white.

1123
01:00:00,400 --> 01:00:03,480
Speaker 2: She said the sperm donor she chose had similar features

1124
01:00:03,520 --> 01:00:07,560
Speaker 2: to her, having lighter skin, blonde hair, and blue eyes.

1125
01:00:08,560 --> 01:00:10,960
Speaker 2: Let me tell you, she was surprised when she delivered

1126
01:00:10,960 --> 01:00:13,880
Speaker 2: this baby and it was black, because that's not what

1127
01:00:13,920 --> 01:00:14,960
Speaker 2: she thought was happening.

1128
01:00:15,600 --> 01:00:19,160
Speaker 1: So when I heard this story, at first, I thought, okay, well,

1129
01:00:20,520 --> 01:00:24,400
Speaker 1: maybe they gave her the wrong sperm, and that's what

1130
01:00:24,440 --> 01:00:27,240
Speaker 1: she had initially thought. That's what I would have thought too.

1131
01:00:27,320 --> 01:00:29,919
Speaker 1: That would have been my first thought of Okay, maybe

1132
01:00:29,920 --> 01:00:32,960
Speaker 1: they gave me the wrong sperm, which is also fucked up.

1133
01:00:33,560 --> 01:00:36,280
Speaker 1: I mean, there was a mix up, clearly, because especially

1134
01:00:36,360 --> 01:00:39,440
Speaker 1: a person that's that light. The chance of them having

1135
01:00:39,440 --> 01:00:45,480
Speaker 1: a darker skin baby is nonexistent with the recessive genes

1136
01:00:45,560 --> 01:00:50,840
Speaker 1: like that. I don't know. I don't know what happened,

1137
01:00:51,080 --> 01:00:54,320
Speaker 1: but she had this baby, she loved this baby, She

1138
01:00:54,400 --> 01:00:58,760
Speaker 1: treated this baby for five whole months, and raise the

1139
01:00:58,840 --> 01:01:00,960
Speaker 1: baby as her own. And I don't know why it

1140
01:01:01,080 --> 01:01:03,360
Speaker 1: took so long to do all the DNA tests.

1141
01:01:03,560 --> 01:01:06,480
Speaker 2: I have the timeline, Okay, she had the baby in

1142
01:01:06,520 --> 01:01:09,880
Speaker 2: December twenty twenty three, and then the following month, I guess,

1143
01:01:09,960 --> 01:01:12,800
Speaker 2: after recovering, getting settled and everything, she did a DNA

1144
01:01:12,960 --> 01:01:16,840
Speaker 2: test and then she knew right then and there that

1145
01:01:17,080 --> 01:01:19,640
Speaker 2: she was not biologically related to this child.

1146
01:01:19,800 --> 01:01:20,600
Speaker 1: She just delivered.

1147
01:01:21,240 --> 01:01:24,520
Speaker 2: So the next month in February, she had retained a

1148
01:01:24,600 --> 01:01:27,280
Speaker 2: lawyer at that point, and they alerted the IVF clinic

1149
01:01:27,480 --> 01:01:29,320
Speaker 2: and said, there's been a mix up and this is

1150
01:01:29,360 --> 01:01:33,400
Speaker 2: what happened. And they also found the real biological parents

1151
01:01:33,600 --> 01:01:36,120
Speaker 2: of this embryo. I'm not sure how they quickly found

1152
01:01:36,200 --> 01:01:40,080
Speaker 2: those people, but they became aware of it, and then

1153
01:01:40,120 --> 01:01:42,600
Speaker 2: they did a DNA test and confirmed that they were

1154
01:01:42,720 --> 01:01:45,400
Speaker 2: in fact connected to this baby. I guess maybe the

1155
01:01:45,480 --> 01:01:47,880
Speaker 2: clinics suspected who it was, and then they had them

1156
01:01:47,960 --> 01:01:51,080
Speaker 2: do a DNA test, so at that point that probably

1157
01:01:51,160 --> 01:01:55,200
Speaker 2: took another month to confirm all of that, and then

1158
01:01:55,480 --> 01:02:00,320
Speaker 2: those parents filed for custody of their embryo that was

1159
01:02:00,360 --> 01:02:01,240
Speaker 2: their baby.

1160
01:02:01,120 --> 01:02:04,360
Speaker 1: Yeah, which they should have. They should have.

1161
01:02:04,440 --> 01:02:07,680
Speaker 2: And what really, what really upsets me about this is

1162
01:02:07,760 --> 01:02:10,440
Speaker 2: because this woman is saying this was supposed to be

1163
01:02:10,520 --> 01:02:13,200
Speaker 2: the happiest day of her life, and to some capacity,

1164
01:02:13,400 --> 01:02:15,200
Speaker 2: it was. And she did have this baby, and she

1165
01:02:15,280 --> 01:02:17,840
Speaker 2: immediately bonded with the kid and loved this kid as

1166
01:02:17,840 --> 01:02:20,400
Speaker 2: her own kid. But she knew, because it was not

1167
01:02:20,560 --> 01:02:24,920
Speaker 2: the same ethnicity as her erases her, that there was

1168
01:02:25,000 --> 01:02:26,960
Speaker 2: going to be an issue down the line, and at

1169
01:02:27,000 --> 01:02:28,520
Speaker 2: first she did not know if that was going to

1170
01:02:28,520 --> 01:02:30,840
Speaker 2: be a sperm mix up. I don't think she imagined

1171
01:02:30,880 --> 01:02:32,760
Speaker 2: it was the worst case scenario, which is they put

1172
01:02:32,840 --> 01:02:34,840
Speaker 2: another couple's baby inside of her.

1173
01:02:34,920 --> 01:02:36,800
Speaker 1: Yeah. I don't think that she thought that either. And

1174
01:02:37,280 --> 01:02:40,960
Speaker 1: it's so sad because she, I mean, she did this

1175
01:02:41,240 --> 01:02:44,000
Speaker 1: as a single mom. She went out and did this,

1176
01:02:44,280 --> 01:02:46,080
Speaker 1: and she wanted to be a mom, and then she

1177
01:02:46,320 --> 01:02:50,280
Speaker 1: carried this entire pregnancy, gave birth to this baby, loved

1178
01:02:50,320 --> 01:02:53,200
Speaker 1: this baby, and even took care of this baby when

1179
01:02:53,240 --> 01:02:55,440
Speaker 1: there was doubt that it was hers, and then when

1180
01:02:55,480 --> 01:02:59,840
Speaker 1: she even knew it wasn't hers, And I mean, this

1181
01:03:00,200 --> 01:03:02,640
Speaker 1: is this is the crazy part of it. If she

1182
01:03:02,800 --> 01:03:06,000
Speaker 1: never did the DNA test, she didn't have to do it.

1183
01:03:06,840 --> 01:03:08,480
Speaker 1: She did it because she wanted to do it to

1184
01:03:08,600 --> 01:03:11,400
Speaker 1: find out. But like she didn't even have to contact

1185
01:03:11,600 --> 01:03:14,360
Speaker 1: the IVF clinic and say that that it was not

1186
01:03:14,600 --> 01:03:15,120
Speaker 1: her baby.

1187
01:03:16,120 --> 01:03:19,120
Speaker 2: Well yeah, because well do you think eventually though, the

1188
01:03:19,200 --> 01:03:22,480
Speaker 2: clinic would have realized this embryo is missing and would

1189
01:03:22,520 --> 01:03:23,720
Speaker 2: have figured out what happened.

1190
01:03:24,040 --> 01:03:25,840
Speaker 1: Maybe what the fuck's going on there? I don't know

1191
01:03:26,520 --> 01:03:28,760
Speaker 1: the look at this how I don't even understand how

1192
01:03:28,840 --> 01:03:30,800
Speaker 1: you mix it up to begin with. I just don't

1193
01:03:30,880 --> 01:03:31,480
Speaker 1: understand it.

1194
01:03:31,920 --> 01:03:34,520
Speaker 2: I think this is such a horrible position to be

1195
01:03:34,640 --> 01:03:39,080
Speaker 2: in from either end, because in one capacity, you want

1196
01:03:39,120 --> 01:03:42,000
Speaker 2: to be like, well, she carried the child and gave

1197
01:03:42,080 --> 01:03:44,000
Speaker 2: birth to the child, it should be her child, but

1198
01:03:44,080 --> 01:03:46,400
Speaker 2: it's just not like it is legally not her kid.

1199
01:03:46,480 --> 01:03:50,560
Speaker 2: And those people paid a fucking ton of money and

1200
01:03:51,040 --> 01:03:53,040
Speaker 2: god knows why they were doing it. If they were

1201
01:03:53,120 --> 01:03:54,920
Speaker 2: just you know a lot of.

1202
01:03:54,920 --> 01:03:58,120
Speaker 1: People, they're going to be reimbursed for all of that money.

1203
01:03:58,160 --> 01:04:00,960
Speaker 1: That they spent. This is going to be a massive lawsuit.

1204
01:04:01,000 --> 01:04:01,600
Speaker 2: There's no way I.

1205
01:04:02,040 --> 01:04:05,840
Speaker 1: Actually will because the fertility clinic put out a thing like, oh,

1206
01:04:06,120 --> 01:04:08,120
Speaker 1: I'm sure this never happens again, like fuck you, you

1207
01:04:08,280 --> 01:04:10,480
Speaker 1: should lose your license as a doctor, and that place

1208
01:04:10,520 --> 01:04:13,240
Speaker 1: should close down. I don't care, Like this is just

1209
01:04:13,400 --> 01:04:18,560
Speaker 1: malpractice and negligence, and I'm so tired of hearing this happen.

1210
01:04:18,600 --> 01:04:22,640
Speaker 1: It's because I work in a lab and you're You're like,

1211
01:04:22,920 --> 01:04:26,000
Speaker 1: it's it's very hard to mix up specimens if you're

1212
01:04:26,040 --> 01:04:28,919
Speaker 1: doing the right thing all the time. It's just hard

1213
01:04:29,000 --> 01:04:33,000
Speaker 1: to do. And how how many patients does one clinic

1214
01:04:33,120 --> 01:04:37,280
Speaker 1: have that they can't keep them all separated properly. I

1215
01:04:37,400 --> 01:04:40,160
Speaker 1: just I don't believe it. It's it's just sloppy cutting

1216
01:04:40,200 --> 01:04:44,919
Speaker 1: corners bullshit. And that doctor really, who who would even

1217
01:04:44,960 --> 01:04:46,880
Speaker 1: want to go to him ever after that?

1218
01:04:47,760 --> 01:04:49,880
Speaker 2: Who would want to go to him ever again? After that?

1219
01:04:50,960 --> 01:04:54,400
Speaker 2: How is this woman gonna trust the system ever again?

1220
01:04:54,560 --> 01:04:56,640
Speaker 2: I mean, like, she she doesn't have the child. The

1221
01:04:56,760 --> 01:04:59,320
Speaker 2: child is in the custody of its biological parents now,

1222
01:05:00,000 --> 01:05:03,400
Speaker 2: so she lost who she thought was her baby, and

1223
01:05:03,520 --> 01:05:04,440
Speaker 2: that's traumatized.

1224
01:05:04,480 --> 01:05:07,400
Speaker 1: And the other parents lost the first five months of

1225
01:05:07,520 --> 01:05:11,800
Speaker 1: the baby's life, yes, which is bonding, and it's just

1226
01:05:12,000 --> 01:05:15,560
Speaker 1: it's just everything it's and maybe that mom wanted to

1227
01:05:15,680 --> 01:05:19,800
Speaker 1: carry the baby. Well, it's just it's it's such a

1228
01:05:19,920 --> 01:05:23,440
Speaker 1: mega lawsuit on both ends and terrible on both ends,

1229
01:05:23,480 --> 01:05:25,720
Speaker 1: and it's it doesn't even matter the money, like you

1230
01:05:25,920 --> 01:05:28,760
Speaker 1: just will never get back with that stole from these people.

1231
01:05:29,120 --> 01:05:30,840
Speaker 2: Well that's what I'm saying, Like you could sue these

1232
01:05:30,840 --> 01:05:32,640
Speaker 2: people for all the money in the world. It doesn't

1233
01:05:32,680 --> 01:05:35,440
Speaker 2: make it better. Like you thought this was your child.

1234
01:05:35,560 --> 01:05:38,560
Speaker 2: You delivered a child that wasn't yours, and legally you

1235
01:05:38,760 --> 01:05:40,720
Speaker 2: do have to give the child up because it is

1236
01:05:40,800 --> 01:05:42,200
Speaker 2: biologically not your kid.

1237
01:05:42,280 --> 01:05:44,480
Speaker 1: You know. I would go as far to say that

1238
01:05:44,600 --> 01:05:46,560
Speaker 1: this happens a lot more than we think it happens,

1239
01:05:46,840 --> 01:05:50,400
Speaker 1: because where we talked about a case, there was a

1240
01:05:50,440 --> 01:05:52,680
Speaker 1: similar case. I don't know if it was even when

1241
01:05:52,760 --> 01:05:54,320
Speaker 1: we were on Mother Knows Death or when we were

1242
01:05:54,400 --> 01:05:57,040
Speaker 1: doing the podcast in the Grosser Room, but it was.

1243
01:05:57,640 --> 01:05:59,280
Speaker 1: It was the same thing. And I believe it was

1244
01:05:59,440 --> 01:06:02,640
Speaker 1: with white people and an Asian baby or the Asians

1245
01:06:02,720 --> 01:06:05,480
Speaker 1: had a white baby or something like that, and it

1246
01:06:05,600 --> 01:06:07,600
Speaker 1: was because of a mix up. We talked about this,

1247
01:06:08,240 --> 01:06:11,760
Speaker 1: and you're like, it's obvious when it's somebody that's a

1248
01:06:11,880 --> 01:06:15,280
Speaker 1: different race or skin color that it's obvious. It's not

1249
01:06:15,440 --> 01:06:18,640
Speaker 1: so obvious if the kid could kind of pass for

1250
01:06:18,720 --> 01:06:21,600
Speaker 1: your coloring and stuff like that. It's just, how are

1251
01:06:21,640 --> 01:06:23,440
Speaker 1: we supposed to think that the only time this has

1252
01:06:23,480 --> 01:06:25,520
Speaker 1: happened in the past couple of years is like, oh,

1253
01:06:25,640 --> 01:06:28,040
Speaker 1: it just so happens that this white woman had a

1254
01:06:28,080 --> 01:06:31,120
Speaker 1: black baby, and then this other Asian person had a

1255
01:06:31,160 --> 01:06:34,320
Speaker 1: white child, Like it has to happen more than that.

1256
01:06:34,440 --> 01:06:36,280
Speaker 1: You just you don't even know it. And I would

1257
01:06:36,280 --> 01:06:39,280
Speaker 1: think that anybody that goes to these clinics that gets

1258
01:06:39,760 --> 01:06:42,520
Speaker 1: accused of this and caught doing this, I would I

1259
01:06:42,560 --> 01:06:43,600
Speaker 1: would be scared. You know.

1260
01:06:43,960 --> 01:06:46,280
Speaker 2: Well, there was that whole exposa a couple of years

1261
01:06:46,320 --> 01:06:49,200
Speaker 2: ago of the fertility doctor that was mixing his own

1262
01:06:49,400 --> 01:06:53,800
Speaker 2: sperm instead of the male partner sperm into these gate

1263
01:06:53,840 --> 01:06:56,480
Speaker 2: where a sperm donor. He was just mixing his own sperm.

1264
01:06:56,520 --> 01:06:58,640
Speaker 2: So we ended up having like over one hundred children.

1265
01:06:58,920 --> 01:07:01,040
Speaker 2: And these women are thinking it's their husband or their

1266
01:07:01,080 --> 01:07:02,320
Speaker 2: significant other baby.

1267
01:07:02,960 --> 01:07:06,480
Speaker 1: It's really scary when you put that much power into

1268
01:07:06,560 --> 01:07:07,600
Speaker 1: someone's hands like that.

1269
01:07:08,480 --> 01:07:10,360
Speaker 2: Well, and This is what concerns me too, is right

1270
01:07:10,440 --> 01:07:13,360
Speaker 2: now there's no federal requirement for these clinics to report

1271
01:07:13,640 --> 01:07:17,400
Speaker 2: incidents like this, and that has to change. It has

1272
01:07:17,480 --> 01:07:23,160
Speaker 2: to change because if what if a case like this

1273
01:07:23,280 --> 01:07:25,600
Speaker 2: happens and they settle like under the radar, like this

1274
01:07:25,720 --> 01:07:28,000
Speaker 2: one's in the news so you can google the facility

1275
01:07:28,040 --> 01:07:30,200
Speaker 2: and it comes up as this lawsuit is happening, as

1276
01:07:30,240 --> 01:07:32,440
Speaker 2: I'm sure with other cases too. But what if they

1277
01:07:32,520 --> 01:07:34,520
Speaker 2: settle this and it remains under the radar. I would

1278
01:07:34,640 --> 01:07:36,200
Speaker 2: like to know if this happened at a clinic I

1279
01:07:36,360 --> 01:07:38,040
Speaker 2: was seeking out for this type of treatment.

1280
01:07:39,760 --> 01:07:43,520
Speaker 1: I can't believe it. They have to change that law.

1281
01:07:43,640 --> 01:07:45,960
Speaker 2: There is no way that counts stay in place because

1282
01:07:46,040 --> 01:07:50,480
Speaker 2: IVF is becoming increasingly more common, So there's just no way.

1283
01:07:51,760 --> 01:07:53,040
Speaker 1: This makes me so sick.

1284
01:07:53,120 --> 01:07:56,600
Speaker 2: I feel so horrible for both families involved. And this

1285
01:07:56,800 --> 01:07:59,880
Speaker 2: woman was basically forced to be a surrogate against her

1286
01:08:00,080 --> 01:08:02,080
Speaker 2: will and now she has nothing at the end of it.

1287
01:08:02,600 --> 01:08:05,000
Speaker 2: She's thinking she's going to have a child, and now,

1288
01:08:05,560 --> 01:08:08,040
Speaker 2: how could you ever trust going through this process again?

1289
01:08:09,400 --> 01:08:12,440
Speaker 2: Well she shouldn't, I mean no, but then she just

1290
01:08:12,760 --> 01:08:13,520
Speaker 2: won't have a kid.

1291
01:08:13,800 --> 01:08:15,240
Speaker 1: I guess you could adopt and stuff.

1292
01:08:15,280 --> 01:08:19,840
Speaker 2: But it's just this is traumatizing on all behalfs. It

1293
01:08:20,000 --> 01:08:23,360
Speaker 2: just really sucks. Okay, on the Questions of the Day.

1294
01:08:23,439 --> 01:08:26,080
Speaker 2: Every Friday at the at Mother Knows Death Instagram account,

1295
01:08:26,120 --> 01:08:28,880
Speaker 2: we put a story up on our Instagram page and

1296
01:08:28,920 --> 01:08:32,519
Speaker 2: you guys could ask us whatever questions you want. How

1297
01:08:32,680 --> 01:08:35,439
Speaker 2: has computer slash technology changed your job as a PA

1298
01:08:35,680 --> 01:08:36,400
Speaker 2: for better.

1299
01:08:36,320 --> 01:08:41,799
Speaker 1: And for worse? So that's interesting. When I started working

1300
01:08:42,080 --> 01:08:45,880
Speaker 1: in pathology, we had different ways up. So we do

1301
01:08:46,080 --> 01:08:50,000
Speaker 1: dictation for all of our specimens. And what that is

1302
01:08:50,120 --> 01:08:52,160
Speaker 1: is when we're looking at a specimen, we type up

1303
01:08:52,240 --> 01:08:55,160
Speaker 1: like little reports on every single specimen we look at.

1304
01:08:55,200 --> 01:08:59,320
Speaker 1: And when I first started, there were secretaries and some

1305
01:08:59,520 --> 01:09:03,439
Speaker 1: hospitals still have it, which had like a transcriptionist. That

1306
01:09:03,600 --> 01:09:08,080
Speaker 1: was the title that they were secretaries. And you would

1307
01:09:08,160 --> 01:09:13,080
Speaker 1: do your dictation into a microphone and you were actually

1308
01:09:13,240 --> 01:09:15,560
Speaker 1: talking to a person, so you could say, okay, write this,

1309
01:09:15,760 --> 01:09:17,880
Speaker 1: put a period here, say this, say this, no, I

1310
01:09:17,920 --> 01:09:19,920
Speaker 1: didn't mean to say that, take it out. And it

1311
01:09:20,320 --> 01:09:22,960
Speaker 1: was It was really cool and I like the advantage

1312
01:09:23,000 --> 01:09:26,599
Speaker 1: of it because having a transcriptionist is awesome because when

1313
01:09:26,640 --> 01:09:29,120
Speaker 1: your hands are covered in blood, you really have a

1314
01:09:29,200 --> 01:09:32,760
Speaker 1: hard time, like playing with the computer and everything like that.

1315
01:09:32,960 --> 01:09:34,840
Speaker 1: So it's just you could focus on your work and

1316
01:09:34,920 --> 01:09:37,840
Speaker 1: talk at the same time. The disadvantage of that was

1317
01:09:38,600 --> 01:09:40,640
Speaker 1: there would be some times that you would do some

1318
01:09:41,560 --> 01:09:44,840
Speaker 1: crazy dissection of a colon cancer case or something, and

1319
01:09:44,960 --> 01:09:48,320
Speaker 1: then the transcriptionists would come up to you and say, oh,

1320
01:09:48,479 --> 01:09:51,320
Speaker 1: I don't have that dictation, like it just gets lost

1321
01:09:51,800 --> 01:09:54,760
Speaker 1: in the whatever. I don't know, and it would just

1322
01:09:54,880 --> 01:09:56,840
Speaker 1: like make you want to cry. So I always kept

1323
01:09:56,920 --> 01:09:59,800
Speaker 1: notes aside for every single case in case I had

1324
01:09:59,840 --> 01:10:04,240
Speaker 1: to go back to redctate it or whatever. But so

1325
01:10:04,680 --> 01:10:07,320
Speaker 1: we got this thing called dragon Speak. Is that still

1326
01:10:07,360 --> 01:10:07,639
Speaker 1: a thing?

1327
01:10:08,800 --> 01:10:09,240
Speaker 2: I don't know.

1328
01:10:10,040 --> 01:10:12,880
Speaker 1: So we had this thing that was the improvement in technology.

1329
01:10:12,880 --> 01:10:16,760
Speaker 1: It was called Dragon's Beak, and it was kind of

1330
01:10:16,920 --> 01:10:20,600
Speaker 1: like voice to text or to text thing that you

1331
01:10:20,720 --> 01:10:22,560
Speaker 1: do on your phone, except the one that you do

1332
01:10:22,680 --> 01:10:26,719
Speaker 1: on your phone works great, and dragon Speak was just terrible.

1333
01:10:27,240 --> 01:10:30,880
Speaker 1: All the time you had to train it. You had

1334
01:10:30,920 --> 01:10:33,880
Speaker 1: to train it to your voice. It was, and then

1335
01:10:34,600 --> 01:10:37,160
Speaker 1: like if someone else had to sit at your grossing station,

1336
01:10:37,479 --> 01:10:41,519
Speaker 1: then they would in theory have to change the profile

1337
01:10:41,600 --> 01:10:44,040
Speaker 1: in order for it to work for them. It just

1338
01:10:44,160 --> 01:10:46,320
Speaker 1: was such a mess. And the computers are really old

1339
01:10:46,360 --> 01:10:51,200
Speaker 1: and everything, So I think overall it's probably better for

1340
01:10:51,400 --> 01:10:55,360
Speaker 1: labeling and things and all. But when there's a situation

1341
01:10:55,479 --> 01:10:57,840
Speaker 1: at the hospital that the computers don't work, which I

1342
01:10:57,880 --> 01:11:00,519
Speaker 1: feel like happens all the time because for some reason,

1343
01:11:01,160 --> 01:11:03,880
Speaker 1: they just don't want to invest in Apple computers and

1344
01:11:03,960 --> 01:11:07,320
Speaker 1: they have these shitty PC computers that just are terrible.

1345
01:11:09,160 --> 01:11:11,840
Speaker 1: If the computer system's down, even say it's down for

1346
01:11:12,000 --> 01:11:16,840
Speaker 1: like two hours, it's very hard to just work because

1347
01:11:16,960 --> 01:11:19,200
Speaker 1: you're waiting for cassettes to print out, you're waiting for

1348
01:11:19,320 --> 01:11:22,360
Speaker 1: labels to print out, you're waiting for the to be

1349
01:11:22,439 --> 01:11:26,519
Speaker 1: able to do your dictation all this stuff. So I mean,

1350
01:11:27,280 --> 01:11:30,840
Speaker 1: I personally like, I'm not a fan of technology, but

1351
01:11:32,760 --> 01:11:35,640
Speaker 1: I don't know, I don't really know. I haven't been

1352
01:11:35,680 --> 01:11:37,600
Speaker 1: working in the field long enough for there to be

1353
01:11:37,720 --> 01:11:40,640
Speaker 1: too much of a transition in technology as far as

1354
01:11:41,040 --> 01:11:43,240
Speaker 1: any of the places that I've ever worked at, Like,

1355
01:11:43,360 --> 01:11:46,960
Speaker 1: nobody's using any crazy state of the art stuff. You

1356
01:11:47,040 --> 01:11:49,080
Speaker 1: know what is interesting though, when I started going to

1357
01:11:49,160 --> 01:11:53,320
Speaker 1: school to be a cytotech that was when we looked

1358
01:11:53,320 --> 01:11:56,160
Speaker 1: at sales under the microscope to diagnose cancer. And even

1359
01:11:56,360 --> 01:11:59,680
Speaker 1: back then, back in like the early two thousands, they

1360
01:11:59,760 --> 01:12:04,000
Speaker 1: start introducing technology where they could stick the slide into

1361
01:12:04,080 --> 01:12:06,759
Speaker 1: a computer and the computer could read the slide instead

1362
01:12:06,800 --> 01:12:10,280
Speaker 1: of a human. And I believe that they're doing that

1363
01:12:10,439 --> 01:12:14,400
Speaker 1: technology now like more and more. And I remember back

1364
01:12:14,439 --> 01:12:18,439
Speaker 1: in early two thousands being scared, like, am I going

1365
01:12:18,520 --> 01:12:21,160
Speaker 1: to need a job? Are is there going to be

1366
01:12:21,160 --> 01:12:23,000
Speaker 1: a job for me when I'm fifty years old? Because

1367
01:12:23,040 --> 01:12:25,800
Speaker 1: if they have this technology, are they really going to

1368
01:12:25,880 --> 01:12:28,200
Speaker 1: need a human to be doing this? And they still

1369
01:12:28,720 --> 01:12:32,400
Speaker 1: do obviously for other reasons. But the same kind of

1370
01:12:32,439 --> 01:12:36,280
Speaker 1: transition happened in lab medicine in general. You know, when

1371
01:12:36,320 --> 01:12:39,439
Speaker 1: you used to do your analysis and blood test and everything,

1372
01:12:39,640 --> 01:12:42,280
Speaker 1: a lot of it was all manual stuff and mixing

1373
01:12:42,439 --> 01:12:44,559
Speaker 1: lots of chemicals. And now it's just if you work

1374
01:12:44,640 --> 01:12:48,200
Speaker 1: in chemistry, for example, in the lab, you just put

1375
01:12:48,320 --> 01:12:50,720
Speaker 1: the vial on a machine and it does the test

1376
01:12:50,840 --> 01:12:54,599
Speaker 1: for you. So it's it's pretty interesting, although it takes

1377
01:12:54,640 --> 01:12:56,240
Speaker 1: a lot of the science out of stuff.

1378
01:12:57,400 --> 01:12:59,680
Speaker 2: All Right, what's the biggest piece of advice you each

1379
01:12:59,760 --> 01:13:01,280
Speaker 2: get a young person.

1380
01:13:06,320 --> 01:13:09,320
Speaker 1: For I'm especially for women. I always taught Maria this,

1381
01:13:09,640 --> 01:13:12,519
Speaker 1: just make sure that you don't have to go to

1382
01:13:12,640 --> 01:13:15,720
Speaker 1: college but just get whatever career you're going to get.

1383
01:13:15,800 --> 01:13:18,320
Speaker 1: Make sure you have a career that if you get

1384
01:13:18,400 --> 01:13:20,599
Speaker 1: fired from your current job and get another job, you're

1385
01:13:20,600 --> 01:13:22,640
Speaker 1: gonna get paid the same amount. And just always make

1386
01:13:22,680 --> 01:13:25,600
Speaker 1: sure you could take care of yourself. Don't meet a

1387
01:13:25,680 --> 01:13:29,760
Speaker 1: boyfriend and then join your two shitty incomes in order

1388
01:13:29,840 --> 01:13:31,800
Speaker 1: to buy a house and then not be able to

1389
01:13:31,840 --> 01:13:35,240
Speaker 1: afford the house yourself. Like, you should be able to

1390
01:13:36,000 --> 01:13:40,800
Speaker 1: afford your whole entire life without somebody, because being stuck

1391
01:13:40,880 --> 01:13:45,920
Speaker 1: with someone because of financial reasons is really terrible and

1392
01:13:46,360 --> 01:13:51,200
Speaker 1: that could have a significant impact on your life. Yeah, definitely.

1393
01:13:51,280 --> 01:13:53,639
Speaker 2: I also to bounce off of that, I think it's

1394
01:13:53,760 --> 01:13:58,080
Speaker 2: really important to have, you know, multiple skills. So let's

1395
01:13:58,080 --> 01:14:01,280
Speaker 2: say you have let's say what you were just saying, like,

1396
01:14:01,360 --> 01:14:03,240
Speaker 2: make sure you could get a job where you're being

1397
01:14:03,360 --> 01:14:05,840
Speaker 2: paid the same, but like the market's not always the same,

1398
01:14:05,960 --> 01:14:08,760
Speaker 2: so you need kind of something else in your back

1399
01:14:08,880 --> 01:14:11,519
Speaker 2: pocket that you could do. Like I'm just like, if

1400
01:14:11,640 --> 01:14:14,840
Speaker 2: God forbid this ever imploded and I couldn't do this

1401
01:14:15,000 --> 01:14:17,400
Speaker 2: job anymore, I could at least bartend in the meantime

1402
01:14:17,520 --> 01:14:19,920
Speaker 2: until I figured something else out to make a living,

1403
01:14:20,120 --> 01:14:20,960
Speaker 2: Exactly like.

1404
01:14:21,040 --> 01:14:24,160
Speaker 1: I was thinking about that when I saw some crazy

1405
01:14:24,280 --> 01:14:26,920
Speaker 1: thing about all, you know, all these people in Washington,

1406
01:14:27,000 --> 01:14:30,200
Speaker 1: DC are getting fired, right, And then I see on

1407
01:14:31,280 --> 01:14:33,679
Speaker 1: someone took and I don't even know if this is true,

1408
01:14:33,720 --> 01:14:35,840
Speaker 1: but I believe it is. That there was a screenshot

1409
01:14:35,920 --> 01:14:38,920
Speaker 1: of all the recent inventory for sale now in Washington, DC,

1410
01:14:39,479 --> 01:14:41,960
Speaker 1: and it's like a lot because people are losing their

1411
01:14:42,040 --> 01:14:44,439
Speaker 1: jobs and they're putting their houses up for sale. And

1412
01:14:46,040 --> 01:14:49,920
Speaker 1: I think, like for me, I never wanted to be

1413
01:14:50,000 --> 01:14:52,000
Speaker 1: in a position that if I lost my job, I

1414
01:14:52,000 --> 01:14:54,599
Speaker 1: would feel like I had to sell my house right away,

1415
01:14:55,880 --> 01:14:58,560
Speaker 1: because I've always had other skills to be able to.

1416
01:14:58,840 --> 01:15:00,720
Speaker 1: Like if I lost a job as a PA, I

1417
01:15:00,800 --> 01:15:02,800
Speaker 1: could go be a side attack and if I lost

1418
01:15:02,840 --> 01:15:04,720
Speaker 1: that job, I could go be a full bottom. I

1419
01:15:04,760 --> 01:15:06,640
Speaker 1: could do like so many different jobs. I could go

1420
01:15:06,720 --> 01:15:08,680
Speaker 1: do nails at it slan, I could do whatever.

1421
01:15:08,600 --> 01:15:11,160
Speaker 2: Like yeah, and even to get by just to pay

1422
01:15:11,360 --> 01:15:13,960
Speaker 2: for your house, you know, even when you have steady

1423
01:15:14,040 --> 01:15:16,759
Speaker 2: salary too, like right now, like I pick up side

1424
01:15:16,840 --> 01:15:20,040
Speaker 2: gigs all the time just because I'm like, Okay, it'll

1425
01:15:20,160 --> 01:15:22,800
Speaker 2: pay for like a shirt I want, you know, or

1426
01:15:22,880 --> 01:15:24,560
Speaker 2: something like that, where I could throw it in my

1427
01:15:24,680 --> 01:15:27,479
Speaker 2: savings account where I could go to a game or

1428
01:15:27,520 --> 01:15:28,040
Speaker 2: a concert.

1429
01:15:28,160 --> 01:15:31,160
Speaker 1: I normally wouldn't have bought tickets too, Like I don't think.

1430
01:15:31,439 --> 01:15:35,040
Speaker 2: I think it's good to have multiple skills, other things,

1431
01:15:35,160 --> 01:15:38,400
Speaker 2: other forms of making money instead of you know, you

1432
01:15:38,600 --> 01:15:41,760
Speaker 2: just going near nine to five. Something else you could

1433
01:15:41,800 --> 01:15:43,799
Speaker 2: do in your back pocket, just in case of an emergency,

1434
01:15:43,840 --> 01:15:44,800
Speaker 2: because you never know.

1435
01:15:45,840 --> 01:15:49,599
Speaker 1: Yeah, I mean, that's that's my advice too, all right.

1436
01:15:49,720 --> 01:15:52,559
Speaker 2: Three the best thing about living in Philly or your

1437
01:15:52,600 --> 01:15:57,160
Speaker 2: best memory. I like Philly in particular because it's a

1438
01:15:57,320 --> 01:15:59,679
Speaker 2: it's a major city, but it's a very small city,

1439
01:15:59,800 --> 01:16:02,960
Speaker 2: so it's not very overwhelming. I think there's a really

1440
01:16:03,120 --> 01:16:06,240
Speaker 2: rich history to it, so you can go see all

1441
01:16:06,360 --> 01:16:08,600
Speaker 2: that cool stuff. But then there's also parts of the

1442
01:16:08,680 --> 01:16:11,760
Speaker 2: city that are totally brand new and newly developed. I

1443
01:16:11,880 --> 01:16:13,640
Speaker 2: don't like in the last couple of years, and it's

1444
01:16:13,680 --> 01:16:15,240
Speaker 2: turning into like Brooklyn junior.

1445
01:16:16,840 --> 01:16:18,679
Speaker 1: I preferred what else that was before?

1446
01:16:19,160 --> 01:16:21,720
Speaker 2: Like think about Fishtown, right, Like Fishtown used to just

1447
01:16:21,800 --> 01:16:24,280
Speaker 2: be like a neighborhood with regular people, and now it's

1448
01:16:24,640 --> 01:16:26,120
Speaker 2: a mini version of Brooklyn.

1449
01:16:27,000 --> 01:16:28,599
Speaker 1: And like, yeah, I mean when I was a kid,

1450
01:16:28,680 --> 01:16:31,040
Speaker 1: it was not even but well I guess it was.

1451
01:16:31,240 --> 01:16:34,679
Speaker 1: It just was like a normal, a normal neighborhood. I'm

1452
01:16:34,720 --> 01:16:40,640
Speaker 1: not into the hipster restaurant thing, so I get what

1453
01:16:40,720 --> 01:16:41,160
Speaker 1: you're saying.

1454
01:16:41,960 --> 01:16:45,320
Speaker 2: Yeah, And I think another big part of our city

1455
01:16:45,400 --> 01:16:47,720
Speaker 2: that I don't really appreciate until I go to other

1456
01:16:47,800 --> 01:16:50,479
Speaker 2: parts of the country is that we have incredible food

1457
01:16:50,560 --> 01:16:53,320
Speaker 2: here and really when you go to other cities, their

1458
01:16:53,360 --> 01:16:54,760
Speaker 2: food really sucks sometimes.

1459
01:16:55,400 --> 01:16:58,360
Speaker 1: Yeah, I love Philly so much. I mean, I only

1460
01:16:58,439 --> 01:17:04,360
Speaker 1: lived in Philly for a year or two before that

1461
01:17:04,600 --> 01:17:07,880
Speaker 1: was while I was in Jefferson for Pcyentology School with Maria,

1462
01:17:08,000 --> 01:17:10,599
Speaker 1: But I worked in Philly for a really long time

1463
01:17:10,720 --> 01:17:14,920
Speaker 1: and it's it's a very cool I can't really describe

1464
01:17:14,960 --> 01:17:18,000
Speaker 1: the cool feeling of going on your lunch break and

1465
01:17:18,160 --> 01:17:20,840
Speaker 1: just walking by and it's saying like, oh, this is

1466
01:17:20,880 --> 01:17:23,560
Speaker 1: where the Declaration of Independence was signed. It's just like

1467
01:17:23,680 --> 01:17:25,639
Speaker 1: you just walk by that every day when you're going

1468
01:17:25,680 --> 01:17:28,040
Speaker 1: to get lunch, or you walk by the Liberty Bell,

1469
01:17:28,080 --> 01:17:30,920
Speaker 1: and it's just the history is just so it's just

1470
01:17:31,040 --> 01:17:34,840
Speaker 1: so so cool, and it is. It is a very

1471
01:17:35,200 --> 01:17:37,800
Speaker 1: It's a small city that has it has each of

1472
01:17:37,880 --> 01:17:41,160
Speaker 1: its own neighborhoods. It's easy to go, it's easy to park.

1473
01:17:41,280 --> 01:17:45,400
Speaker 1: I feel like, for the most part, I love I

1474
01:17:45,960 --> 01:17:48,439
Speaker 1: know that a lot of people don't like Philly fans

1475
01:17:50,120 --> 01:17:54,080
Speaker 1: sports fans, but we're like our own people kind of.

1476
01:17:55,200 --> 01:17:56,400
Speaker 2: It's a very good community.

1477
01:17:56,439 --> 01:17:58,680
Speaker 1: It's a good community. It's a good it's good to

1478
01:17:58,800 --> 01:18:02,719
Speaker 1: go to the sports game. We're like a family almost.

1479
01:18:02,800 --> 01:18:05,759
Speaker 1: It's like and you might think that we're rude or whatever,

1480
01:18:05,880 --> 01:18:07,880
Speaker 1: but at least like we're all on each other side

1481
01:18:08,000 --> 01:18:10,040
Speaker 1: kind of we'll all like fight for our team.

1482
01:18:12,080 --> 01:18:13,080
Speaker 2: So I kind of like that.

1483
01:18:13,520 --> 01:18:17,519
Speaker 1: And there's just like sometimes you see these there's like

1484
01:18:17,560 --> 01:18:19,880
Speaker 1: a couple of these Instagram accounts that are just like

1485
01:18:20,040 --> 01:18:22,439
Speaker 1: only in Philly, and you look at it and you're like, yeah,

1486
01:18:22,560 --> 01:18:24,880
Speaker 1: that's that's cool, you know, but all kind of the

1487
01:18:24,960 --> 01:18:27,639
Speaker 1: best part of it. Yeah, Like our family like grew

1488
01:18:27,760 --> 01:18:30,320
Speaker 1: up around here too, so it's so it's just like

1489
01:18:31,680 --> 01:18:34,560
Speaker 1: we we we have rich history in it forever, and

1490
01:18:34,760 --> 01:18:36,120
Speaker 1: it's it's just really cool.

1491
01:18:36,640 --> 01:18:37,320
Speaker 2: I like it.

1492
01:18:37,400 --> 01:18:40,080
Speaker 1: I would never ever live there, even if you got me.

1493
01:18:41,320 --> 01:18:43,160
Speaker 1: I used to think that if I could get a

1494
01:18:43,280 --> 01:18:46,320
Speaker 1: house in like one of those old houses in Society

1495
01:18:46,400 --> 01:18:48,720
Speaker 1: Hill that had a driveway in a backyard and shit

1496
01:18:48,800 --> 01:18:51,080
Speaker 1: that and like you couldn't pay me to live there.

1497
01:18:51,160 --> 01:18:56,240
Speaker 1: Absolutely not. The city is wonderful in when the weather

1498
01:18:56,479 --> 01:18:59,519
Speaker 1: is nice in the spring and the fall, and in

1499
01:18:59,600 --> 01:19:02,000
Speaker 1: the summer it gets a little hot sometimes, so even

1500
01:19:02,080 --> 01:19:06,559
Speaker 1: then it's unpleasant. But like right now, for example, it's

1501
01:19:06,680 --> 01:19:08,880
Speaker 1: what is it today, fifteen degrees or whatever it is

1502
01:19:08,920 --> 01:19:11,760
Speaker 1: outside twenty degrees? Fuck no, I do not want to

1503
01:19:11,800 --> 01:19:14,759
Speaker 1: be outside having to walk anywhere. Like no, thanks.

1504
01:19:15,160 --> 01:19:18,559
Speaker 2: There is nothing more perfect than when it's seventy five

1505
01:19:18,640 --> 01:19:21,280
Speaker 2: degrees in Philadelphia and you go to Franklin Fountain and

1506
01:19:21,320 --> 01:19:23,800
Speaker 2: you get the freshest ice cream cone of your life.

1507
01:19:24,280 --> 01:19:25,680
Speaker 1: I think you just walk.

1508
01:19:25,479 --> 01:19:28,280
Speaker 2: Around and look at all the cool buildings and just

1509
01:19:28,520 --> 01:19:31,320
Speaker 2: enjoy it, and it's it's really nice to just walk around.

1510
01:19:31,439 --> 01:19:35,400
Speaker 2: But I mean, there's obvious like problems here, two like

1511
01:19:35,600 --> 01:19:38,920
Speaker 2: major problems. But it is a pretty good city to

1512
01:19:39,040 --> 01:19:41,800
Speaker 2: be near. It's definitely better than New York. I liked

1513
01:19:41,840 --> 01:19:43,360
Speaker 2: Boston a lot when I was there a couple of

1514
01:19:43,360 --> 01:19:46,639
Speaker 2: weeks ago, because it's similar, but it's still like way bigger.

1515
01:19:47,479 --> 01:19:50,879
Speaker 1: I like the intimacy. New York is an interesting situation

1516
01:19:51,080 --> 01:19:53,840
Speaker 1: to me because when I go there, I feel and

1517
01:19:53,960 --> 01:19:58,519
Speaker 1: I feel in Philadelphia, I don't ever get that overwhelmed feeling.

1518
01:19:59,360 --> 01:20:03,040
Speaker 1: I know where everything is. The city's very easy for

1519
01:20:03,160 --> 01:20:05,200
Speaker 1: me to figure out. I know how to get everywhere,

1520
01:20:05,200 --> 01:20:08,200
Speaker 1: and I know where everything is in New York. I

1521
01:20:08,400 --> 01:20:11,040
Speaker 1: just go there and I look around at just the

1522
01:20:11,479 --> 01:20:14,120
Speaker 1: vast size of it, and I can't even believe that

1523
01:20:14,200 --> 01:20:18,000
Speaker 1: anybody wants to live there. And I know people like

1524
01:20:18,240 --> 01:20:19,880
Speaker 1: die and want to live there. They think it's the

1525
01:20:19,960 --> 01:20:22,880
Speaker 1: greatest thing ever. And I think it's so overwhelming to

1526
01:20:23,000 --> 01:20:26,960
Speaker 1: me that I don't know, it scares me or something

1527
01:20:27,080 --> 01:20:27,240
Speaker 1: like that.

1528
01:20:27,840 --> 01:20:30,920
Speaker 2: I would live there if I could afford a really

1529
01:20:31,080 --> 01:20:34,439
Speaker 2: nice house. I love New York, but it's overwhelming, and

1530
01:20:34,520 --> 01:20:36,840
Speaker 2: I think once you learn the setup of the city,

1531
01:20:37,040 --> 01:20:40,680
Speaker 2: it's very easy to get around, and they have incredible transportation,

1532
01:20:41,120 --> 01:20:44,960
Speaker 2: where Philadelphia has maybe the worst public transportation of all time. Like,

1533
01:20:45,040 --> 01:20:47,040
Speaker 2: you have to drive if you live there. I don't

1534
01:20:47,120 --> 01:20:50,760
Speaker 2: understand how people don't unless really yeah, unless they're like

1535
01:20:50,920 --> 01:20:54,360
Speaker 2: never leaving the city, but otherwise, oh.

1536
01:20:54,280 --> 01:20:56,479
Speaker 1: Yeah, you have to have a car if you want

1537
01:20:56,520 --> 01:20:58,800
Speaker 1: to leave the city, really yeah.

1538
01:20:58,840 --> 01:21:00,560
Speaker 2: And it's not like New York where you could do

1539
01:21:00,760 --> 01:21:03,120
Speaker 2: every single thing you need to do in the city.

1540
01:21:03,200 --> 01:21:06,160
Speaker 1: You have to leave sometimes to do things. Yeah, there's

1541
01:21:06,640 --> 01:21:10,560
Speaker 1: yeah exactly, I don't know. I just I would not

1542
01:21:10,720 --> 01:21:12,439
Speaker 1: live in New York if you paid me to. I

1543
01:21:12,600 --> 01:21:16,400
Speaker 1: just wouldn't. I just I like visiting for the day

1544
01:21:16,439 --> 01:21:19,760
Speaker 1: and then going home. I like how I'm just super suburban.

1545
01:21:20,479 --> 01:21:25,839
Speaker 1: I like having a driveway and privacy. Quiet.

1546
01:21:28,000 --> 01:21:31,040
Speaker 2: Yeah, I mean, especially when you go from living in

1547
01:21:31,120 --> 01:21:34,919
Speaker 2: the city to moving back to the suburbs, it's it's difficult.

1548
01:21:34,960 --> 01:21:37,120
Speaker 2: It would be difficult to go back, especially with the

1549
01:21:37,160 --> 01:21:39,280
Speaker 2: parking spot. It used to take me forty five minutes

1550
01:21:39,320 --> 01:21:41,439
Speaker 2: to park my car and I would be parked five

1551
01:21:41,479 --> 01:21:45,080
Speaker 2: blocks from my house. But Andreas, Andrea has a parking spot.

1552
01:21:45,439 --> 01:21:47,200
Speaker 2: She actually has two because she has a garage and

1553
01:21:47,280 --> 01:21:48,920
Speaker 2: then you could park behind her garage if.

1554
01:21:48,840 --> 01:21:51,080
Speaker 1: You really want to. And she has a nice, big

1555
01:21:51,160 --> 01:21:55,920
Speaker 1: house and it's in a good neighborhood. But like and

1556
01:21:56,040 --> 01:21:58,280
Speaker 1: in the spring, I bet it's amazing to bring the

1557
01:21:58,360 --> 01:22:01,160
Speaker 1: kids to school, but when it's wanty degrees out having

1558
01:22:01,200 --> 01:22:05,240
Speaker 1: a walk blocks in snow and rain and no, I

1559
01:22:05,320 --> 01:22:10,160
Speaker 1: don't even known an umbrella because I don't want one, Okay,

1560
01:22:10,320 --> 01:22:12,800
Speaker 1: I just don't want the hassle of it. All right, Well,

1561
01:22:12,800 --> 01:22:14,800
Speaker 1: if you guys have a story for us, Please submit

1562
01:22:14,840 --> 01:22:17,479
Speaker 1: it to stories at Motherdosdeath dot com or send us

1563
01:22:17,520 --> 01:22:20,800
Speaker 1: a message on Instagram. Don't forget to give us a

1564
01:22:20,880 --> 01:22:23,080
Speaker 1: review and tell us why you'd like living in New

1565
01:22:23,160 --> 01:22:26,719
Speaker 1: York City. Five star review. Thank you, five stars. Yes, thanks,

1566
01:22:30,400 --> 01:22:34,200
Speaker 1: thank you for listening to Mother Knows Death. As a reminder,

1567
01:22:34,439 --> 01:22:38,160
Speaker 1: my training is as a pathologists assistant. I have a

1568
01:22:38,280 --> 01:22:42,599
Speaker 1: master's level education and specialize in anatomy and pathology education.

1569
01:22:43,760 --> 01:22:45,880
Speaker 1: I am not a doctor and I have not diagnosed

1570
01:22:46,000 --> 01:22:49,600
Speaker 1: or treated anyone dead or alive without the assistance of

1571
01:22:49,680 --> 01:22:54,840
Speaker 1: a licensed medical doctor. This show, my website, and social

1572
01:22:54,920 --> 01:22:58,439
Speaker 1: media accounts are designed to educate and inform people based

1573
01:22:58,479 --> 01:23:02,360
Speaker 1: on my experience working in pathology, so they can make

1574
01:23:02,600 --> 01:23:07,240
Speaker 1: healthier decisions regarding their life and well being. Always remember

1575
01:23:07,320 --> 01:23:10,400
Speaker 1: that science is changing every day and the opinions expressed

1576
01:23:10,439 --> 01:23:13,040
Speaker 1: in this episode are based on my knowledge of those

1577
01:23:13,120 --> 01:23:16,880
Speaker 1: subjects at the time of publication. If you are having

1578
01:23:16,960 --> 01:23:20,880
Speaker 1: a medical problem, have a medical question, or having a

1579
01:23:20,960 --> 01:23:25,280
Speaker 1: medical emergency, please contact your physician or visit an urgent

1580
01:23:25,360 --> 01:23:30,280
Speaker 1: care center, emergency room, or hospital. Please rate, review, and

1581
01:23:30,439 --> 01:23:34,880
Speaker 1: subscribe to Mother Knows Death on Apple, Spotify, YouTube, or

1582
01:23:35,000 --> 01:23:37,320
Speaker 1: anywhere you get podcasts. Thanks