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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 so many

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Speaker 1: great stories for you today. We are going to get

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Speaker 1: into the politically motivated murders that happened in Minnesota this weekend,

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Speaker 1: the viral video that's going around showing the plane crash

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Speaker 1: in India, and the survivor. We'll talk about that because

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Speaker 1: I'm a little suss of that. One of Prince William's

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Speaker 1: best friends was killed in a freak incident involving a beasting,

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Speaker 1: a story local to us that involved hitting cameras in bathrooms,

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Speaker 1: what it's like to have a painful vagina, potential exposures

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Speaker 1: while writing, public transportation, and an update on a story

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Speaker 1: we reported last month of a woman who was forced

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Speaker 1: to keep her dead daughter on life support because she

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Speaker 1: was pregnant. All that and more on today's episode. It

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Speaker 1: is a lot. Let's get started with this beasting story.

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Speaker 3: Okay, so, longtime friend of Prince William's son, Jay Kapor,

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Speaker 3: he was playing polo last week when suddenly he shouted,

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Speaker 3: I swallowed something. It turns out that he swallowed a bee,

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Speaker 3: which subsequently stung him inside.

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Speaker 2: Of his mouth and caused him to die.

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Speaker 1: So he had an anaphylactic reaction. I think that I

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Speaker 1: don't necessarily know if he swallowed it or if it

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Speaker 1: just went in his mouth and stung him, but regardless,

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Speaker 1: it caused this chemical chain reaction inside his body that

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Speaker 1: causes you to have this instantaneous swelling. And when he

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Speaker 1: was saying that he felt something in his throat that

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Speaker 1: he thought he swallowed something, it was perhaps more of

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Speaker 1: a feeling of a foreign body sensation almost because of

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Speaker 1: his throat swelling up so quickly that he thought something

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Speaker 1: was kind of stuck in there, like that's how fast

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Speaker 1: it happens. So it sucks that no one there really

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Speaker 1: realized what was happening and didn't have an EpiPen on

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Speaker 1: them out of all those people, because this isn't something

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Speaker 1: that you have to die from, but even sometimes people

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Speaker 1: have such a bad reaction that they don't survive it.

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Speaker 2: It's just so scary to think about.

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Speaker 3: I mean, what a freak thing that you're doing something

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Speaker 3: you do all the time and then a bug just

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Speaker 3: happens to fly in your mouth. I mean, it probably

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Speaker 3: just happened so quick he couldn't even fully register what happened.

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Speaker 1: I'm gonna go out on a limb and say, this

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Speaker 1: is not the first time he's had a serious reaction

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Speaker 1: to a beasting. Okay, they don't usually present like you're

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Speaker 1: totally fine your entire life, and then all of a

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Speaker 1: sudden you get this severe reaction. Not saying that it's

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Speaker 1: not possible, I'm just saying that it's not likely. Is

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Speaker 1: it possible though, because he was possibly stung in the

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Speaker 1: throat that it caused swelling in general, that maybe was

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Speaker 1: not an allergic reaction to the beasting that caused his

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Speaker 1: caused him to die, Like.

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Speaker 2: Yeah, I mean that's possible.

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Speaker 1: I think it would cause a little bit of a

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Speaker 1: different presentation because anaphylaxis is not just the throat closing up,

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Speaker 1: but other things happened too, like there's a sharp decline

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Speaker 1: in blood pressure, like obviously the air narrows and things

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Speaker 1: like that. But I'm not really sure exactly if that

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Speaker 1: would cause a person to die because the swelling. Again, normally,

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Speaker 1: if you get stung by a bee, I'm not sure

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Speaker 1: if you don't have any kind of allergy to it,

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Speaker 1: that the swelling would be that intense. So I really

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Speaker 1: think that it has to do with him having this

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Speaker 1: reaction that is typical in people that get stung by

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Speaker 1: a bee, which is anaphylaxis.

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Speaker 3: All right, well, let's move on to the events of

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Speaker 3: last week. So this man went to the home of

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Speaker 3: several Minnesota politicians in the middle of the night, disguised

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Speaker 3: as a police officer with the intent to kill them.

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Speaker 3: So let's go over this disguise, because this is one

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Speaker 3: of the craziest things I've seen in these modern true

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Speaker 3: crime cases.

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Speaker 2: Well, I see.

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Speaker 1: The thing is is that you're saying that it's crazy,

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Speaker 1: but I've been seeing this all over social media, of

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Speaker 1: these videos of regular people putting on these things.

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Speaker 3: That's interesting you say that, because when I was reading

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Speaker 3: this story, I've obviously seen we're gonna get into this

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Speaker 3: mask he was wearing. I've seen them at the Halloween

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Speaker 3: store and been thinking what a horrible idea they could be.

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Speaker 3: But I don't feel like I've necessarily seen it used

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Speaker 3: in a crime, especially on this eye profile of a crime.

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Speaker 1: Well, I think this is probably a little bit more

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Speaker 1: sophisticated than a Halloween mask. But you see these videos.

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Speaker 1: There's two different ones. So there's the silicone mask that

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Speaker 1: goes around that when somebody puts it on, you legitimately

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Speaker 1: cannot tell if you don't know the person and they're

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Speaker 1: walking and they're kind of not standing right on top

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Speaker 1: of you and they're wearing sunglasses, especially because that's where

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Speaker 1: it looks the weirdest is around the eyes. It's like

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Speaker 1: creepy that. And the people in these social media videos

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Speaker 1: look completely different from the mask they're putting on. Sometimes

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Speaker 1: it's like a white person versus a black person, like

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Speaker 1: totally different, crazy things that you wouldn't really be able

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Speaker 1: to tell unless you were really like looking.

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Speaker 2: Up on them.

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Speaker 1: It's just it's so scary. There's another one too. This

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Speaker 1: guy makes these ones that are like the fabric ones

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Speaker 1: that you put over your face. They're almost made out

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Speaker 1: of a material of like, well, I've seen those or something,

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Speaker 1: and they don't look as good because like there's a

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Speaker 1: guy that does it all the time and he put

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Speaker 1: one on with like twer Swift's face on it, right,

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Speaker 1: and it's like he put his hoodie up over it,

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Speaker 1: and it's like he kind of looks like her a

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Speaker 1: little bit, but it's like the shape of his skull

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Speaker 1: is making it not look exactly like her. But the

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Speaker 1: silicone ones like this dude was wearing. I've been thinking

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Speaker 1: about this forever, like, Okay, when's somebody gonna use one

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Speaker 1: of those to do something bad?

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Speaker 2: Because clearly, well.

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Speaker 3: They're like, hwhy would level special effects makeup?

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Speaker 2: Yeah?

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Speaker 1: Exactly, And I guess I guess the scary thing is

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Speaker 1: is that he so he went to the first people's house, right,

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Speaker 1: he went there, and is that where the video was

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Speaker 1: taken from or we don't know exactly whose house that

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Speaker 1: was taken. Well, let's backtrack a little bit. So he

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Speaker 1: was disguised as a police officer.

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Speaker 3: He was driving a black SUV with emergency lights and

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Speaker 3: a license plate that said police. He was carrying a

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Speaker 3: nine millimeter gun, wearing a black tactical vest, and then

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Speaker 3: he was wearing the silicone mask to hide his identity.

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Speaker 3: So then he ends up going to John Hoffman's house,

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Speaker 3: who's a senator with his wife. He's talking to them

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Speaker 3: at the door. It's the middle of the night. They're

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Speaker 3: probably disoriented because they had been asleep. Then they realized

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Speaker 3: this guy is wearing a silicone mask. They try to

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Speaker 3: push him out of the house, and as they're doing this,

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Speaker 3: he ends up shooting them. Then proceeds to the next

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Speaker 3: victim's house.

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Speaker 1: So this is where the story gets really crazy. So

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Speaker 1: the officers were like, Okay, this guy is a lawmaker

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Speaker 1: and he got shot. Like, let's just go to a

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Speaker 1: fellow lawmaker's house that wasn't too far away, who was

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Speaker 1: Minnesota House of Representatives Melissa Hortman. The cops were like,

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Speaker 1: let's just go there and check this out and make

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Speaker 1: sure that that she's okay and her family's okay. So

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Speaker 1: the officers arrive and they see that a cop car

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Speaker 1: is already there, and they end up getting in an

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Speaker 1: altercation with this guy that's pretending to be a cop

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Speaker 1: that starts shooting at them and he flees into their house.

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Speaker 1: So he somehow gets into their house, goes in and

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Speaker 1: kills her Melissa Hortman and her husband. Now I have

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Speaker 1: so many questions about this, like how do cops show

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Speaker 1: up at a scene and think it's an officer when

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Speaker 1: it was a fake It was a fake cop car,

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Speaker 1: like someone was saying it said police on the license plate,

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Speaker 1: Like I don't know if it mimicked the police officer's

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Speaker 1: vehicle exactly, that they weren't able to tell that it

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Speaker 1: wasn't theirs. I mean, like, aren't they communicating and stuff

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Speaker 1: to say, Oh, Officer so and so is already here. Yeah,

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Speaker 1: but if this event is happening and they're scrambling, they

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Speaker 1: might have just for I mean, this could have gone

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Speaker 1: down in less than sixty seconds. Where they pull up

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Speaker 1: to the scene. They're just like, I'm not sure what's

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Speaker 1: really happening for a second and then it just yeah.

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Speaker 1: But if they're going like, oh, we're gonna check out

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Speaker 1: this Minnesota House of Representatives person, right, aren't they talking

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Speaker 1: over the radio saying we're going to go here and

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Speaker 1: they know what they thought? He was there yet, not

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Speaker 1: necessarily because there could have been, in theory, another patrolman

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Speaker 1: that got there before they did, a couple seconds before,

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Speaker 1: but they I feel like that's something that they should know.

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Speaker 1: This is like the whole point of them talking on

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Speaker 1: the radio, so like stuff doesn't happen by accident. They

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Speaker 1: have to say where they're at. I would that, but like,

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Speaker 1: two people are dead now, and I'm curious, like how

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Speaker 1: he even got into the house unless the couple had

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Speaker 1: opened the door because they saw all the police activity

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Speaker 1: going on.

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Speaker 3: I mean, when you see a police just start at

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Speaker 3: the door. I think most people are going to open

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Speaker 3: it because hey, you're curious what's going on. And it's

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Speaker 3: like him doing this in the middle of the night

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Speaker 3: was intentional because people are not at full attention, right,

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Speaker 3: so you're confused. You don't know what's happening. You're in

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Speaker 3: a political scenario. You don't know what's going on. A

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Speaker 3: cops at your door. I mean, the mask is sophisticated.

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Speaker 3: You can't necessarily tell unless you're kind of up closed

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Speaker 3: that it's not that person's real skin.

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Speaker 2: I don't see.

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Speaker 1: Well, this is the thing when you look, when you

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Speaker 1: look at the video from the from the doorbell, it's

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Speaker 1: very obvious that the dy But if you look, you're

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Speaker 1: not thinking high night, Yeah exactly, and in hindsight like, yes,

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Speaker 1: we're looking and we're like, oh my god, that's so freaky.

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Speaker 1: But like you're saying, like if you wake up at

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Speaker 1: three o'clock in the morning and you're woken up out

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Speaker 1: of your sleep and you just look really quick, even

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Speaker 1: if it's on your phone whatever, like I I know,

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Speaker 1: I don't have my glasses on. Ever, you look and

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Speaker 1: you're just like, oh, the cops are here for some reason,

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Speaker 1: Like you're just not thinking that somebody's wearing a freakin

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Speaker 1: mask on your front porch dress as a cop trying

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Speaker 1: to get into your house.

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Speaker 2: I mean, back to your.

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Speaker 3: Point about the communication, I think this attack just seemed

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Speaker 3: really elevated. He had every element tied down where it

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Speaker 3: wasn't that obvious upfront. I mean, especially to the people

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Speaker 3: that were woken up in the middle of the night,

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Speaker 3: but especially like he certainly tricked the cops, even if

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Speaker 3: it was only for thirty seconds, long enough to be

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Speaker 3: able to go through their house and then eventually hide

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Speaker 3: in the woods and become this manhunt that was apparently

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Speaker 3: the biggest manhunt in Minnesota state history, which is kind

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Speaker 3: of nuts to think about. But luckily, after two days

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Speaker 3: they were able to get him and he's in custody.

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Speaker 1: Now, yeah, I can't I can't believe that he was

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Speaker 1: on the run like that for so many days and

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Speaker 1: it and now, like, I mean, it just happened a

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Speaker 1: few days ago, So it's like we don't know that

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Speaker 1: many details, but certain details, like I want to know

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Speaker 1: how much planning went into this, because apparently in the

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Speaker 1: car they found the hit list with a bunch of

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Speaker 1: names on it, and there were notes written about what their.

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Speaker 2: House looked like.

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Speaker 1: So this guy was like stalking them for days.

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Speaker 3: Apparently this was probably this planning was probably more than days.

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Speaker 3: I'm sure it was going on for takeing a year

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Speaker 3: or more. But then there's other shady stuff too. So

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Speaker 3: the guy allegedly texted his wife and said, words are

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Speaker 3: not going to explain how sorry I am for this situation.

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Speaker 3: There's going to be some people coming to the house

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Speaker 3: armed and trigger happy, and I don't want you guys around.

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Speaker 3: And he also texted his family and said dad went

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Speaker 3: to war last night. I don't want to say more

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Speaker 3: because I don't want to implicate anybody. So so like

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Speaker 3: he was communicating with his family in that way. But

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Speaker 3: then this was the weird part. When they searched his

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Speaker 3: wife's car, they found two handguns, ten thousand dollars in cash,

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Speaker 3: and passports for his wife and her children.

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Speaker 2: Well, I mean, he could have put that stuff there.

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Speaker 3: I'm not saying she's totally innocent in all of this,

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Speaker 3: but he easily could have put that stuff there and

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Speaker 3: was like just getting the car and go.

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Speaker 2: But a normal person would not listen like he could have.

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Speaker 1: But like, I'm sorry if you're putting ten grand in

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Speaker 1: someone's car, you're gonna tell them it's there?

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Speaker 3: Are you gonna tell them you're about to go murder

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Speaker 3: a bunch of people? Like I don't think so. So

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Speaker 3: I think he had this really well planned.

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Speaker 2: If anybody, if Gabe.

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Speaker 1: Called me and was like, hey, just to let you know,

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Speaker 1: there's two guns, ten thousand dollars of cash, and all

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Speaker 1: your passports are in the car, like that, would I'd

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Speaker 1: be like, okay, honey, I'll see it for dinner.

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Speaker 3: I highly doubt that's the order of operations that went down,

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Speaker 3: Like he probably murdered them and ten grand in somebody's

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Speaker 3: car and like whatever I refused, I don't know. I mean,

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Speaker 3: she very well could have been invited.

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Speaker 1: I totally believe that he had that set up because

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Speaker 1: if she had the run, like she would be able

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Speaker 1: to get out of the guns.

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Speaker 3: I'm saying he set it up like she might have

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Speaker 3: not known that was there, and then he was planning

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Speaker 3: to shoot her a text and be like no, we're

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Speaker 3: taking care of just getting the car and go.

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Speaker 1: Absolutely not. There's way more to this story. I just

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Speaker 1: don't buy you. Like, even like I understand that this

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Speaker 1: guy's a crazy person. But like, nobody just leaves ten

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Speaker 1: grand in a car without that's that's like what if

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Speaker 1: somebody broke into the car or something.

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Speaker 3: I think that since that's your takeaway, that's ridiculous of

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Speaker 3: all the details in the story, because I'm right, it's

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Speaker 3: gonna come back because listen, like you just have to

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Speaker 3: think about how people normally behave.

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Speaker 1: And I understand, like obviously normally people don't put on

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Speaker 1: masks and go and kill people and execute them or whatever.

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Speaker 1: But but still it's just like, there's there's shadiness going

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Speaker 1: on here. And the fact that he said to his kids,

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Speaker 1: like I went to war means that they've been talking

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Speaker 1: about something that he went to war for me, they

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Speaker 1: would know what that meant.

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Speaker 3: Maybe he was extreme with his ideologies and was talking

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Speaker 3: about them in the comfort of his home, and they're

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Speaker 3: just kind of like, ah, that's my crazy dad. But

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Speaker 3: I don't think you really think your parent's gonna go

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Speaker 3: forward and execute these actions they speak of.

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Speaker 2: It's nuts.

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Speaker 1: Yeah, I can't wait to hear more because it's it's

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Speaker 1: a little sheep.

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Speaker 3: Yeah, Like, I don't think we're gonna get the full

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Speaker 3: picture until we start seeing interviews with the family but

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Speaker 3: and seeing how they're responding.

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Speaker 1: To it in jail because they're they're accomplices maybe anyway,

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Speaker 1: all right, all right, so speaking of other things that

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Speaker 1: are just like I'm becoming like a huge conspiracy theory

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Speaker 1: over every single thing that's reported because I just don't

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Speaker 1: trust anything. But that, let's talk about this plane crash.

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Speaker 3: Twenty twenty five has really become in the year of

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Speaker 3: the plane crash, because there's just been like such a

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Speaker 3: crazy amount of them and we're only six months into

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Speaker 3: the year so far. So yeah, but I think that

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Speaker 3: if you I think that a lot of people say that,

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Speaker 3: but then when you look, it's like the numbers are

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Speaker 3: just kind of where they always are. Two commercial airliner

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Speaker 3: disasters in six months, I feel like that's not common.

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Speaker 1: The one in India though, it's just I don't know,

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Speaker 1: it's like it doesn't it doesn't count for our count

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Speaker 1: right for what anyway.

301
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Speaker 3: It's not America, for America, Yeah, exactly about American commercial

302
00:15:06,160 --> 00:15:09,720
Speaker 3: airline disasters of talking about all over the world have whatever.

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Speaker 1: There there's always there's always airline crashes. What I just

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Speaker 1: I'm like that I killed two hundred and forty one people.

305
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Speaker 1: I mean, this this one's this one is insane, and

306
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Speaker 1: the story's insane, and it gets even weirder.

307
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Speaker 3: So a Boeing seven eighty seven Dreamliner was heading from

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Speaker 3: London to m Debad, India, or heading from m Debad

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Speaker 3: to London, and shortly after takeoff crash in the dorm

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Speaker 3: rooms of a local medical school. So it's unclear how

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Speaker 3: many were killed on the ground. But as I said earlier,

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Speaker 3: two hundred and forty one people were on board. I

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Speaker 3: guess where your conspiracy theory has coming in is that

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Speaker 3: two hundred and forty two people were on board, but

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Speaker 3: one person miraculously survived.

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Speaker 2: So what's your theory? All right?

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Speaker 1: Like, let me just say this that you and you

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Speaker 1: guys could argue with me all you want and take

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Speaker 1: I just don't take anything by its word anymore. This

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00:16:01,560 --> 00:16:06,120
Speaker 1: airplane had twenty six thousand gallons of jet fuel in it.

321
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Speaker 1: It just took off a second before, right, It's a

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Speaker 1: lot of fuel to put in a fire. Any airplane

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Speaker 1: fire or airplane accident causes terrible blunt trauma as well

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Speaker 1: as people burning to death and just terrible burns, amputations,

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Speaker 1: crush injuries, just terrible evidence of a plane crash. Okay,

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Speaker 1: so that's and not that people haven't survived. They have,

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Speaker 1: but we're just putting it out there that there was

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Speaker 1: a lot of fuel on this fire. Then they showed

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Speaker 1: this video that I don't know. Did you see the

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Speaker 1: video that's been going around of the survivor coming out

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Speaker 1: of the out of the debris.

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Speaker 3: I saw an animation of I saw an animation that

333
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Speaker 3: I'm not accepting of a person no jumping out midair.

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Speaker 2: But no, so he didn't jump out mid air.

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Speaker 1: I don't know why people are saying that, because that's

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00:16:58,040 --> 00:16:59,640
Speaker 1: that's not what happens exactly.

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Speaker 2: So this video is going around.

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00:17:01,800 --> 00:17:06,000
Speaker 1: Now of actual footage of people filming this big ball

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Speaker 1: of fire over this medical school dorm room, and all

340
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Speaker 1: of a sudden, this guy just comes out of this

341
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Speaker 1: ball of fire, wearing a white T shirt and like

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Speaker 1: texting or talking on his phone. He just walks right

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Speaker 1: out of this ball of fire. He barely has any

344
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Speaker 1: soot on his shirt. He's wearing a white T shirt

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00:17:25,480 --> 00:17:28,680
Speaker 1: that looks white from when you're looking at it. You

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Speaker 1: would think if someone's coming out of a ball of fire,

347
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Speaker 1: they would be covered in like soot from the smoke,

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Speaker 1: and they would be beat up and their shirt would

349
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Speaker 1: be ripped and there would be blood and there would

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Speaker 1: be coughing because there's so much smoke around, right, because

351
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Speaker 1: this is what happens when you're in a fire, not

352
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Speaker 1: to mention, like an inferno like this. And the guy's

353
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Speaker 1: just like on his phone and like, listen, I understand

354
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Speaker 1: that he could be in shock if this is true

355
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Speaker 1: or whatever, but you would expect to see the other things.

356
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Speaker 1: And when people don't die from getting burned or from

357
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Speaker 1: a traumatic injury in a plane crash, it's due to

358
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Speaker 1: the smoke in aalation, all right. So you're so like

359
00:18:08,320 --> 00:18:11,440
Speaker 1: he would I would think that he would be. Did

360
00:18:11,480 --> 00:18:14,560
Speaker 1: you ever like see somebody come out of a fire

361
00:18:14,960 --> 00:18:17,520
Speaker 1: like that? It's just it's just weird to me, Like

362
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Speaker 1: it just doesn't sit right.

363
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Speaker 3: With So you think he wasn't on the plane. He

364
00:18:20,920 --> 00:18:22,760
Speaker 3: just happened to be on the ground and then said

365
00:18:22,800 --> 00:18:23,600
Speaker 3: he was on the plane.

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Speaker 2: I don't know, I don't know. I don't know who

367
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Speaker 2: it is or what it is.

368
00:18:26,680 --> 00:18:29,399
Speaker 1: I just like, listen, this is just my this is

369
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Speaker 1: just my conspiracy theory that something don't seem right about it.

370
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Speaker 3: This is his story, but he says he doesn't remember

371
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Speaker 3: a lot that the plane because it didn't have The

372
00:18:42,119 --> 00:18:46,919
Speaker 3: plane crashed, and then before it caught on fire, the

373
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Speaker 3: emergency door had been bent and he was able to

374
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Speaker 3: it was broken, and he happened to be sitting and

375
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Speaker 3: see eleven A, which is right next to the emergency door,

376
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Speaker 3: and because it had been broken from the crash, he

377
00:18:58,359 --> 00:19:01,000
Speaker 3: was able to get out seconds for it exploded.

378
00:19:02,160 --> 00:19:05,160
Speaker 1: So that's his story. But I don't know even though

379
00:19:05,200 --> 00:19:08,479
Speaker 1: though if it exploded in close proximity to where he was,

380
00:19:08,960 --> 00:19:12,440
Speaker 1: Like the angle of this camera is like he's walking

381
00:19:12,480 --> 00:19:16,879
Speaker 1: out of a plume of an atomic bomb, looking like

382
00:19:17,080 --> 00:19:19,840
Speaker 1: smoke and stuff, and you're just like, h okay, dude,

383
00:19:20,240 --> 00:19:22,880
Speaker 1: I don't know. His shirt is white, Okay, but it's

384
00:19:23,080 --> 00:19:26,000
Speaker 1: just weird. I'm just saying, you can't neglect.

385
00:19:25,640 --> 00:19:29,040
Speaker 3: To tell this other story of another plane crash survivor

386
00:19:29,080 --> 00:19:32,199
Speaker 3: from nineteen ninety eight that also was sitting in seat eleven.

387
00:19:32,280 --> 00:19:34,880
Speaker 1: That one's also a lie. They're just trying to get

388
00:19:34,880 --> 00:19:37,560
Speaker 1: people to buy that seat. No, so they're gonna charge

389
00:19:37,560 --> 00:19:38,520
Speaker 1: more money for that.

390
00:19:38,440 --> 00:19:39,440
Speaker 2: Seat in that case.

391
00:19:39,480 --> 00:19:41,879
Speaker 3: In nineteen ninety eight, there was a horrific plane crash

392
00:19:41,920 --> 00:19:44,920
Speaker 3: in Thailand which killed over one hundred people. Forty five

393
00:19:44,960 --> 00:19:47,840
Speaker 3: people survived, which were primarily people sitting towards the front

394
00:19:47,840 --> 00:19:50,320
Speaker 3: of the plane. But one of those survivors was sitting

395
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Speaker 3: in the same seat eleven A. So of course, now

396
00:19:53,119 --> 00:19:56,360
Speaker 3: that seat is the most valuable seat in airline history.

397
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Speaker 3: Right now, you are not going to be able to

398
00:19:58,200 --> 00:20:02,200
Speaker 3: sit there unless you pay a premium. The probability though,

399
00:20:02,280 --> 00:20:05,639
Speaker 3: in the other case is like forty five people's by okay,

400
00:20:05,720 --> 00:20:08,480
Speaker 3: Like it's a little bit it's a little bit more probable, Like, okay,

401
00:20:08,520 --> 00:20:11,399
Speaker 3: this is this is like a one to two hundred

402
00:20:11,400 --> 00:20:14,919
Speaker 3: and eighty ratio, and I know, you know, it's just

403
00:20:15,000 --> 00:20:15,560
Speaker 3: a little.

404
00:20:15,320 --> 00:20:16,399
Speaker 2: Bit different, just pointing.

405
00:20:16,560 --> 00:20:21,119
Speaker 3: I understand your conspiracy behind it, right, But they knew

406
00:20:21,160 --> 00:20:24,159
Speaker 3: pretty quickly that he was sitting in that seat number

407
00:20:24,320 --> 00:20:27,560
Speaker 3: So like, how would he have known that before? I mean,

408
00:20:27,800 --> 00:20:30,119
Speaker 3: let's say he was a person on the ground that

409
00:20:30,240 --> 00:20:31,879
Speaker 3: just so happened to be at the site of the

410
00:20:31,880 --> 00:20:34,679
Speaker 3: plane crash, how would he have had information to know

411
00:20:34,760 --> 00:20:38,240
Speaker 3: that eleven A was the seat on that exact flight

412
00:20:38,320 --> 00:20:41,080
Speaker 3: with the emergency exit door. Because it's not the same

413
00:20:41,200 --> 00:20:44,240
Speaker 3: row on every single plane, I.

414
00:20:44,200 --> 00:20:46,200
Speaker 1: Don't know, well it is when you book it, though,

415
00:20:46,240 --> 00:20:48,840
Speaker 1: you know where, and can't they find his name on

416
00:20:48,960 --> 00:20:53,560
Speaker 1: the ticket? They need to find his DNA and confirm.

417
00:20:53,720 --> 00:20:54,199
Speaker 2: I don't know.

418
00:20:54,280 --> 00:20:57,280
Speaker 3: I just like there's something that's just a little I

419
00:20:57,320 --> 00:20:59,080
Speaker 3: feel like it's gonna be easily.

420
00:21:00,240 --> 00:21:02,359
Speaker 2: They're gonna see his name on the plane ticket or not.

421
00:21:04,000 --> 00:21:05,760
Speaker 2: But how do you know that's him?

422
00:21:06,520 --> 00:21:10,280
Speaker 1: I don't know, Like people have gone on fake with

423
00:21:10,400 --> 00:21:11,879
Speaker 1: fake ideas before whatever.

424
00:21:12,119 --> 00:21:17,359
Speaker 2: I just don't you heard it here first? What listen?

425
00:21:17,480 --> 00:21:20,920
Speaker 1: I I'm just I'm just saying like it totally can

426
00:21:20,960 --> 00:21:23,320
Speaker 1: be cool and like, congratulations, dude.

427
00:21:23,400 --> 00:21:24,040
Speaker 2: I just like.

428
00:21:25,720 --> 00:21:28,479
Speaker 1: If you saw somebody coming out of a swimming pool

429
00:21:28,880 --> 00:21:31,080
Speaker 1: that had dry clothes on, you would be like, they

430
00:21:31,119 --> 00:21:33,520
Speaker 1: weren't just in the swimming pool right.

431
00:21:34,119 --> 00:21:37,040
Speaker 3: Actually, in my chemistry class, there is this chemical I

432
00:21:37,080 --> 00:21:39,199
Speaker 3: don't know what it is right now, this powder that

433
00:21:39,280 --> 00:21:42,480
Speaker 3: you could put in liquid that when you put your

434
00:21:42,480 --> 00:21:44,200
Speaker 3: finger in it's wet and when you pull it out

435
00:21:44,240 --> 00:21:49,800
Speaker 3: it's completely dry. Obviously unlikely that situation, but it is

436
00:21:50,160 --> 00:21:52,280
Speaker 3: possible in some scenarios.

437
00:21:52,400 --> 00:21:56,480
Speaker 2: Unlikely, but there are things that exist. Let's move on to.

438
00:21:56,480 --> 00:21:59,760
Speaker 3: These hidden cameras at the Ocean City boardwalk. Shocker, it's

439
00:21:59,800 --> 00:22:01,359
Speaker 3: the ones we always go into.

440
00:22:02,000 --> 00:22:04,359
Speaker 1: Yeah, well, we went there on Father's Day, you know,

441
00:22:04,520 --> 00:22:08,000
Speaker 1: down the shore, and I went in the bathroom with

442
00:22:08,040 --> 00:22:10,320
Speaker 1: the girls. I always go in there with them with them,

443
00:22:10,359 --> 00:22:12,639
Speaker 1: Like there it was all three of the bathrooms. They

444
00:22:12,680 --> 00:22:15,879
Speaker 1: found them, and I was just messing with them, saying

445
00:22:15,960 --> 00:22:19,119
Speaker 1: like yeah, that this happened. Like they kids can't believe

446
00:22:19,119 --> 00:22:22,000
Speaker 1: it either, but I'm thinking, all that's there are people

447
00:22:22,119 --> 00:22:25,960
Speaker 1: going in the bathroom, especially with kids, and what perver

448
00:22:26,359 --> 00:22:27,440
Speaker 1: is doing this?

449
00:22:27,640 --> 00:22:28,760
Speaker 2: Like what are they looking for?

450
00:22:28,840 --> 00:22:30,720
Speaker 3: So that's how they were found because some girl was

451
00:22:30,720 --> 00:22:32,639
Speaker 3: in there with her friend and her friend's kids and

452
00:22:32,640 --> 00:22:34,679
Speaker 3: they were getting changed to go on the beach. So

453
00:22:34,720 --> 00:22:37,960
Speaker 3: she sees this like pen hanging out by the trash can,

454
00:22:38,000 --> 00:22:40,919
Speaker 3: which is obviously weird in a bathroom. So then she

455
00:22:41,000 --> 00:22:43,880
Speaker 3: goes to investigate it and notices there's this blue blinking

456
00:22:43,960 --> 00:22:46,040
Speaker 3: light on it. Then she sees a lens with a

457
00:22:46,080 --> 00:22:48,560
Speaker 3: little slide that would be on like a webcam or something.

458
00:22:48,800 --> 00:22:50,520
Speaker 3: So she opens the pen up and then there's an

459
00:22:50,640 --> 00:22:52,280
Speaker 3: SD card in there, so of course she had to

460
00:22:52,320 --> 00:22:54,720
Speaker 3: call the cops. Then they get this pen, and.

461
00:22:54,760 --> 00:22:58,240
Speaker 1: I think that's actually really cool that she did that.

462
00:22:58,440 --> 00:23:00,639
Speaker 2: Yeah, I do too, because because.

463
00:23:00,440 --> 00:23:04,280
Speaker 1: Let me tell you like I keep because obviously, like

464
00:23:04,359 --> 00:23:07,080
Speaker 1: this scenario could have happened with us, because we go

465
00:23:07,160 --> 00:23:09,800
Speaker 1: in those bathrooms all the time, and I'm thinking like,

466
00:23:09,880 --> 00:23:12,760
Speaker 1: if I saw something like that, I would probably just

467
00:23:12,960 --> 00:23:13,520
Speaker 1: ignore it.

468
00:23:14,080 --> 00:23:16,120
Speaker 2: Well, like honestly, like I would.

469
00:23:16,200 --> 00:23:18,560
Speaker 1: I would just be like, oh, someone left something in here,

470
00:23:18,600 --> 00:23:20,879
Speaker 1: because I you know, like sometimes if you see someone's

471
00:23:20,880 --> 00:23:23,560
Speaker 1: phone in the bathroom, I don't take it out because

472
00:23:23,560 --> 00:23:25,800
Speaker 1: I'm like, oh, if the person lost something, like they're

473
00:23:25,800 --> 00:23:29,399
Speaker 1: gonna remember and come back here instead of you know,

474
00:23:29,520 --> 00:23:31,200
Speaker 1: you give it to the cops or something, they might

475
00:23:31,200 --> 00:23:32,240
Speaker 1: not ever find it again.

476
00:23:32,280 --> 00:23:34,400
Speaker 3: But if you saw it ever that was a blatantly

477
00:23:34,480 --> 00:23:36,639
Speaker 3: obvious camera, you would just leave it.

478
00:23:36,960 --> 00:23:39,320
Speaker 1: But that thing, like I saw it, it doesn't look

479
00:23:39,359 --> 00:23:42,320
Speaker 1: like a blatantly obvious camera to me, Like she picked

480
00:23:42,359 --> 00:23:44,879
Speaker 1: it up and inspected it. That's what I'm saying. Like, first,

481
00:23:44,960 --> 00:23:48,040
Speaker 1: I wouldn't have picked it up off off the trash

482
00:23:48,080 --> 00:23:51,919
Speaker 1: canon there because it's skiv Like it's gross, you know,

483
00:23:52,080 --> 00:23:54,919
Speaker 1: Like I just seeing it across the room, I'd be

484
00:23:55,000 --> 00:23:57,560
Speaker 1: like maybe I don't know what I would do, but

485
00:23:57,720 --> 00:24:00,320
Speaker 1: I I'm more like, oh, I would just like leave

486
00:24:00,359 --> 00:24:02,600
Speaker 1: it there, unless it was an obvious camera.

487
00:24:02,320 --> 00:24:04,360
Speaker 3: But then after she turned it in, they found more

488
00:24:04,400 --> 00:24:06,479
Speaker 3: cameras and other bathrooms along the sideway.

489
00:24:06,560 --> 00:24:07,920
Speaker 2: Yeah, all the way up the boardwalk. Yeah.

490
00:24:07,960 --> 00:24:10,000
Speaker 3: So you're like, that's awesome. And then I'm thinking, did

491
00:24:10,000 --> 00:24:12,040
Speaker 3: the police have to go through all the footage and

492
00:24:12,080 --> 00:24:14,080
Speaker 3: then try to contact everybody that was.

493
00:24:14,080 --> 00:24:14,840
Speaker 2: Recorded in them?

494
00:24:14,880 --> 00:24:17,280
Speaker 3: How would you even figure that out?

495
00:24:17,680 --> 00:24:20,720
Speaker 1: So how does it work that little card they could

496
00:24:20,760 --> 00:24:22,439
Speaker 1: just pull out and look at the footage?

497
00:24:22,960 --> 00:24:25,439
Speaker 3: Yeah, I mean I would be surprised if it was

498
00:24:26,240 --> 00:24:29,880
Speaker 3: elevated technology that was going back to some like home

499
00:24:29,960 --> 00:24:34,000
Speaker 3: based system, because it's just this like pen thing. I

500
00:24:34,119 --> 00:24:37,080
Speaker 3: just would be confused. I would be surprised if it

501
00:24:37,160 --> 00:24:39,679
Speaker 3: was going back to some sort of like monitoring system

502
00:24:39,720 --> 00:24:40,400
Speaker 3: on a computer.

503
00:24:40,800 --> 00:24:43,520
Speaker 1: That's what I was thinking that it was. I mean,

504
00:24:43,560 --> 00:24:45,359
Speaker 1: I don't really know how that stuff works. I was

505
00:24:45,400 --> 00:24:48,800
Speaker 1: thinking that it was going like someone was watching it live.

506
00:24:49,080 --> 00:24:50,320
Speaker 1: That's not possible.

507
00:24:50,560 --> 00:24:53,080
Speaker 3: I would say, based on the level of the device,

508
00:24:53,160 --> 00:24:55,679
Speaker 3: that the person probably planted them, turned it on and

509
00:24:55,720 --> 00:24:57,840
Speaker 3: then was planning to go back and retrieve them to

510
00:24:57,880 --> 00:24:59,880
Speaker 3: get the recordings off of the card.

511
00:25:00,560 --> 00:25:01,080
Speaker 2: So if the.

512
00:25:01,080 --> 00:25:04,360
Speaker 1: Police, well and and like maybe they have been doing that,

513
00:25:04,520 --> 00:25:09,080
Speaker 1: and well exactly so if the police have the SD card,

514
00:25:09,119 --> 00:25:12,240
Speaker 1: they could see exactly when they started recording, and then

515
00:25:12,280 --> 00:25:14,680
Speaker 1: they're gonna have to analyze the security cameras to see

516
00:25:14,680 --> 00:25:18,000
Speaker 1: who was going in those bathrooms at that time. So

517
00:25:18,119 --> 00:25:22,000
Speaker 1: the cops have to look at videos of people going

518
00:25:22,040 --> 00:25:25,080
Speaker 1: to the bathroom and like, I don't yeah, because.

519
00:25:24,760 --> 00:25:26,880
Speaker 3: They'll probably be able to see if the guy had

520
00:25:26,880 --> 00:25:31,000
Speaker 3: to turn it on before he left the bathroom, then

521
00:25:31,040 --> 00:25:34,880
Speaker 3: they'll probably see parts of him exiting the room, right

522
00:25:34,880 --> 00:25:35,919
Speaker 3: because he's in the stall.

523
00:25:36,920 --> 00:25:40,960
Speaker 1: Yeah, because I was wondering that. I was thinking like

524
00:25:41,000 --> 00:25:43,080
Speaker 1: that they should be able to find him easily if

525
00:25:43,119 --> 00:25:45,359
Speaker 1: it was connected to some kind of device, But I

526
00:25:45,359 --> 00:25:48,359
Speaker 1: guess that might be a little bit more difficult if

527
00:25:48,359 --> 00:25:51,280
Speaker 1: there's no it's possible. I just fingerprints and that girl

528
00:25:51,440 --> 00:25:53,240
Speaker 1: was hold the girl that called the cops was like

529
00:25:53,280 --> 00:25:54,280
Speaker 1: holding it and I'm.

530
00:25:54,119 --> 00:25:56,720
Speaker 2: Like, no, your fingerprints are getting all over it too. Now.

531
00:25:56,960 --> 00:26:00,240
Speaker 3: Yeah, I mean, anything's possible, but I would be attually

532
00:26:00,280 --> 00:26:03,119
Speaker 3: surprised if that happened. If it was going back to

533
00:26:03,200 --> 00:26:05,840
Speaker 3: some like home based type of situation, I would say

534
00:26:05,880 --> 00:26:08,000
Speaker 3: he planted them and was going to retrieve them and

535
00:26:08,040 --> 00:26:09,440
Speaker 3: then download the information.

536
00:26:09,440 --> 00:26:11,879
Speaker 1: I wonder if it's just like a dumb kid. I

537
00:26:11,920 --> 00:26:14,320
Speaker 1: hope it is. Honestly, I don't know. This seem like

538
00:26:14,400 --> 00:26:15,040
Speaker 1: a teenage.

539
00:26:15,040 --> 00:26:17,919
Speaker 3: This seems pretty calculated, so I would be surprised if

540
00:26:17,960 --> 00:26:19,639
Speaker 3: it was like a teenager being dumb.

541
00:26:20,920 --> 00:26:23,480
Speaker 1: I just hope it is, because I it's just like

542
00:26:23,560 --> 00:26:24,960
Speaker 1: so disturbing to think about it.

543
00:26:25,000 --> 00:26:27,840
Speaker 3: But it's like, obviously you're taking videos of girls changing

544
00:26:27,920 --> 00:26:30,560
Speaker 3: and everything, but then you're obviously having videos of people

545
00:26:30,640 --> 00:26:31,200
Speaker 3: like shitting.

546
00:26:31,880 --> 00:26:34,400
Speaker 1: It's a very fee That's well, that's what I did

547
00:26:34,400 --> 00:26:36,240
Speaker 1: when I went in the bathroom, like I was just

548
00:26:36,320 --> 00:26:39,040
Speaker 1: messing with the kids, and I was like, like I

549
00:26:39,119 --> 00:26:41,960
Speaker 1: was doing all this stuff, like, oh, for on camera,

550
00:26:41,960 --> 00:26:43,879
Speaker 1: They're going to turn it off because it's disgusting.

551
00:26:44,720 --> 00:26:46,000
Speaker 2: Yeah, it's just like, yeah, it's weird.

552
00:26:46,040 --> 00:26:56,479
Speaker 1: It's it's just it's just like really not cool. This

553
00:26:56,600 --> 00:26:59,919
Speaker 1: episode is brought to you by the Gross Room guys.

554
00:26:59,640 --> 00:27:02,680
Speaker 1: This weekend was Father's Day and we had a really

555
00:27:02,720 --> 00:27:06,200
Speaker 1: interesting post that was called Happy father to Be Day,

556
00:27:06,440 --> 00:27:09,520
Speaker 1: and I labeled that because I wrote it on Father's Day.

557
00:27:09,560 --> 00:27:11,600
Speaker 1: But it was a really interesting case about a guy

558
00:27:11,960 --> 00:27:14,440
Speaker 1: who was in a motorcycle accident and how he had

559
00:27:14,480 --> 00:27:18,200
Speaker 1: to have his sperm harvested because of his injuries. So

560
00:27:18,240 --> 00:27:21,320
Speaker 1: that is a really interesting post. We also had a

561
00:27:21,359 --> 00:27:24,320
Speaker 1: post about a woman who had a rectal piercing, so

562
00:27:24,920 --> 00:27:27,720
Speaker 1: that's also a very interesting post, so check that out.

563
00:27:27,760 --> 00:27:29,640
Speaker 3: Yeah, head over to the Grosser Room dot com now

564
00:27:29,680 --> 00:27:32,960
Speaker 3: to sign up. All right, So this woman went on

565
00:27:33,000 --> 00:27:35,760
Speaker 3: TikTok and starts explaining how she was convinced she didn't

566
00:27:35,760 --> 00:27:38,520
Speaker 3: have a vaginal hole because she had tried using tampons

567
00:27:38,560 --> 00:27:40,760
Speaker 3: in her teens and having sex several times but was

568
00:27:40,760 --> 00:27:44,280
Speaker 3: never successful. And then she watched the show Sex Education

569
00:27:44,400 --> 00:27:46,479
Speaker 3: in her one of the characters talking about a condition

570
00:27:46,600 --> 00:27:49,080
Speaker 3: that was similar to her own. You could go ahead

571
00:27:49,080 --> 00:27:51,280
Speaker 3: and say this, because there's no way, I'm pretty it's

572
00:27:51,280 --> 00:27:52,679
Speaker 3: a very it's a very weird.

573
00:27:52,800 --> 00:27:56,120
Speaker 1: One of these weird medical words called imagine is miss

574
00:27:56,880 --> 00:28:00,399
Speaker 1: came up with this word. I I don't though, but

575
00:28:00,480 --> 00:28:04,639
Speaker 1: it's a condition where the vagina suddenly tightens up. So

576
00:28:05,240 --> 00:28:07,880
Speaker 1: they don't know exactly what causes it, but it could

577
00:28:07,920 --> 00:28:10,639
Speaker 1: be all It could be for psychological reasons, or it

578
00:28:10,640 --> 00:28:15,160
Speaker 1: could be for sexual anxiety disorders like history of rape

579
00:28:15,280 --> 00:28:18,800
Speaker 1: or any kind of trauma like that that you your

580
00:28:18,920 --> 00:28:22,119
Speaker 1: vaginal opening kind of like tightens up in tenses up

581
00:28:22,160 --> 00:28:25,280
Speaker 1: to the point where sometimes you can't wear tampons, but

582
00:28:25,320 --> 00:28:27,800
Speaker 1: also you have difficulty having sex and things like that.

583
00:28:28,280 --> 00:28:32,440
Speaker 1: So she's had this condition her whole life. And it's

584
00:28:32,520 --> 00:28:34,960
Speaker 1: crazy because she went to the doctor and said, hey,

585
00:28:35,000 --> 00:28:37,719
Speaker 1: I saw this condition on this show, and is this

586
00:28:37,800 --> 00:28:39,560
Speaker 1: what I have? And the doctor was like, yeah, you

587
00:28:39,600 --> 00:28:42,280
Speaker 1: do have it, and she was getting so a lot

588
00:28:42,280 --> 00:28:44,880
Speaker 1: of times they want you to go do physical therapy

589
00:28:45,560 --> 00:28:48,560
Speaker 1: for it to strengthen the keegol muscles and to kind

590
00:28:48,560 --> 00:28:52,520
Speaker 1: of loosen things up around there, and but then COVID

591
00:28:52,560 --> 00:28:54,400
Speaker 1: happened and she kind of had a set back there.

592
00:28:54,440 --> 00:28:57,440
Speaker 1: So she said that she ended up buying these dilators

593
00:28:57,960 --> 00:29:03,280
Speaker 1: off of online. She bought diladers and vaginal diladers, like

594
00:29:03,480 --> 00:29:06,200
Speaker 1: think about I don't know, think about a dildo, That's

595
00:29:06,240 --> 00:29:06,720
Speaker 1: what it's.

596
00:29:06,640 --> 00:29:07,120
Speaker 2: Kind of like.

597
00:29:07,680 --> 00:29:11,440
Speaker 1: But they start really small and thin, like a pencil,

598
00:29:11,480 --> 00:29:13,640
Speaker 1: and then they move their way up to the the

599
00:29:13,680 --> 00:29:15,520
Speaker 1: size of like a penis, let's say.

600
00:29:15,640 --> 00:29:15,920
Speaker 2: And you.

601
00:29:17,640 --> 00:29:20,160
Speaker 1: Slowly start with the smaller one and you kind of

602
00:29:20,400 --> 00:29:22,640
Speaker 1: stretch it out until you can gradually get up to

603
00:29:22,680 --> 00:29:26,160
Speaker 1: the bigger one. And she was saying in this article

604
00:29:26,200 --> 00:29:31,480
Speaker 1: that she was a virgin because she not really by choice,

605
00:29:31,480 --> 00:29:32,959
Speaker 1: she didn't want to be, but she was just so

606
00:29:33,000 --> 00:29:35,080
Speaker 1: scared to have sex. So she finally did get married

607
00:29:35,080 --> 00:29:39,080
Speaker 1: and was able to have sex and stretch it out

608
00:29:39,120 --> 00:29:41,600
Speaker 1: down there. But it's cool that she's talking about it

609
00:29:41,600 --> 00:29:43,520
Speaker 1: because there's people that go through it all the time

610
00:29:43,560 --> 00:29:45,800
Speaker 1: and don't speak about it.

611
00:29:45,880 --> 00:29:48,800
Speaker 3: So, yeah, especially a condition like this that's like, is

612
00:29:48,840 --> 00:29:52,360
Speaker 3: this considered something rare because I haven't heard of this before,

613
00:29:52,920 --> 00:29:55,160
Speaker 3: But I guess if you're going through something like this,

614
00:29:55,240 --> 00:29:57,800
Speaker 3: it's really scary and it's nice to hear somebody else's

615
00:29:57,800 --> 00:30:00,560
Speaker 3: experience and maybe help you identify it. She was able

616
00:30:00,600 --> 00:30:04,200
Speaker 3: to through hearing it on a show. Yeah, it's it's.

617
00:30:04,080 --> 00:30:07,440
Speaker 1: Rare, but it happens and people have it, and like

618
00:30:07,600 --> 00:30:10,040
Speaker 1: shows like that always want to show you the most

619
00:30:10,280 --> 00:30:13,360
Speaker 1: rare things. It's it's just like my Instagram or the

620
00:30:13,400 --> 00:30:15,560
Speaker 1: Grosser Room, Like I show you the craziest stuff that

621
00:30:15,680 --> 00:30:18,720
Speaker 1: barely happens to anyone sometimes, you know, but that makes

622
00:30:18,720 --> 00:30:23,120
Speaker 1: it the most interesting, right, But yeah, it's it's it's

623
00:30:23,160 --> 00:30:27,480
Speaker 1: a really it's a really interesting condition honestly, And it's

624
00:30:27,760 --> 00:30:30,640
Speaker 1: another interesting thing is just like the thought of physical

625
00:30:30,680 --> 00:30:34,800
Speaker 1: therapy for for your vadge. Well, like it's just a

626
00:30:34,920 --> 00:30:38,320
Speaker 1: very you know, unusual thing to feel like, you know,

627
00:30:38,360 --> 00:30:40,240
Speaker 1: you don't want to go to the gynecologist anyway, and

628
00:30:40,280 --> 00:30:42,240
Speaker 1: to think that you're going there to like work out

629
00:30:42,280 --> 00:30:45,640
Speaker 1: your vagina with somebody is just a little uncomfortable, right.

630
00:30:45,680 --> 00:30:48,360
Speaker 3: Well, I actually go to pelvic for therapy after my

631
00:30:48,520 --> 00:30:53,040
Speaker 3: endivitriosis surgery, and it is I guess the first appointment

632
00:30:53,160 --> 00:30:56,520
Speaker 3: is very awkward because I knew going into it that

633
00:30:56,600 --> 00:30:59,600
Speaker 3: they like stick their fingers or hands in your vagina

634
00:30:59,680 --> 00:31:02,520
Speaker 3: to like to stretch your muscles and see where you know,

635
00:31:02,560 --> 00:31:04,680
Speaker 3: you have tension and stuff. So I was prepared, but

636
00:31:04,720 --> 00:31:07,480
Speaker 3: I've heard stories of people being totally in shock that

637
00:31:07,480 --> 00:31:08,880
Speaker 3: that's what goes down there.

638
00:31:08,920 --> 00:31:13,520
Speaker 1: But did you did the place you go to is specialize,

639
00:31:13,600 --> 00:31:13,840
Speaker 1: is that?

640
00:31:14,080 --> 00:31:14,240
Speaker 2: Yeah?

641
00:31:15,400 --> 00:31:17,320
Speaker 1: So all they do is badge therapy.

642
00:31:17,480 --> 00:31:21,560
Speaker 3: Well it's not like it's not all internal. So a

643
00:31:21,600 --> 00:31:24,280
Speaker 3: lot of the stretches I do are breeding exercises where

644
00:31:24,280 --> 00:31:26,640
Speaker 3: I have to like lay anserin positions and breathe and

645
00:31:26,680 --> 00:31:29,520
Speaker 3: like focus my breadths going like down in that area

646
00:31:29,760 --> 00:31:33,200
Speaker 3: to strengthen it. And then I have other like because

647
00:31:33,200 --> 00:31:35,840
Speaker 3: my surgery was in my abdomen, they we do it

648
00:31:35,920 --> 00:31:37,040
Speaker 3: like this rolling.

649
00:31:36,800 --> 00:31:39,479
Speaker 2: On my It's like on YouTube, you can see it.

650
00:31:39,600 --> 00:31:41,920
Speaker 3: You literally take your fingers and like roll down your

651
00:31:41,920 --> 00:31:44,080
Speaker 3: skin to like loosen the tension there.

652
00:31:44,840 --> 00:31:49,520
Speaker 1: But I'm I'm actually really curious about this if obviously

653
00:31:49,560 --> 00:31:51,720
Speaker 1: some of you who are listening, No, I'm just curious

654
00:31:51,760 --> 00:31:56,240
Speaker 1: about the education for these people. Is it an actual

655
00:31:56,280 --> 00:32:00,440
Speaker 1: physical therapist that specializes in pulvic floor muscles or is

656
00:32:00,480 --> 00:32:04,200
Speaker 1: it a different education. I'm just curious about that.

657
00:32:04,280 --> 00:32:06,240
Speaker 3: So I believe the woman in charge it where I'm

658
00:32:06,280 --> 00:32:09,320
Speaker 3: going as a doctor, and then they have physical therapists

659
00:32:09,400 --> 00:32:12,560
Speaker 3: working there that just specialize in this particular area. But

660
00:32:12,600 --> 00:32:15,800
Speaker 3: it could be different per practice, but they typically work

661
00:32:15,840 --> 00:32:19,440
Speaker 3: with people that are pregnant or postpartum, or older women

662
00:32:19,440 --> 00:32:22,120
Speaker 3: that are having like prolapse issues or.

663
00:32:22,040 --> 00:32:22,520
Speaker 2: People like that.

664
00:32:22,640 --> 00:32:25,320
Speaker 1: No, it's like a place that has multiple employees. It's

665
00:32:25,440 --> 00:32:27,560
Speaker 1: it's funny because, like you again, you never hear this,

666
00:32:27,640 --> 00:32:29,360
Speaker 1: and you're like, there has to be some kind of

667
00:32:29,400 --> 00:32:31,280
Speaker 1: market for it if they have a bunch of people

668
00:32:31,320 --> 00:32:32,280
Speaker 1: working there doing.

669
00:32:32,120 --> 00:32:33,400
Speaker 2: Oh, and it's popping there.

670
00:32:33,400 --> 00:32:35,640
Speaker 3: Like I had an appointment tomorrow morning and I had

671
00:32:35,720 --> 00:32:37,200
Speaker 3: to reschedule it because I can't go.

672
00:32:37,320 --> 00:32:41,840
Speaker 2: And the next available appointment was in three weeks. Interesting.

673
00:32:42,040 --> 00:32:43,680
Speaker 3: I'm like, she's going to try to go with me,

674
00:32:44,560 --> 00:32:47,600
Speaker 3: see how this goes down, But we have to draw

675
00:32:47,640 --> 00:32:48,680
Speaker 3: the line somewhere.

676
00:32:50,920 --> 00:32:53,040
Speaker 1: I am just curious. I don't want to be in

677
00:32:53,080 --> 00:32:55,880
Speaker 1: your appointment. I'm just curious about the training that goes

678
00:32:55,880 --> 00:32:56,280
Speaker 1: into that.

679
00:32:56,680 --> 00:32:59,120
Speaker 3: Yeah, it's interesting, And at first I was like, why

680
00:32:59,160 --> 00:33:02,720
Speaker 3: am I here? But then afterwards and after doing the stretches,

681
00:33:02,760 --> 00:33:05,120
Speaker 3: there is a noticeable difference in how I feel.

682
00:33:05,160 --> 00:33:06,600
Speaker 2: So I don't know.

683
00:33:06,720 --> 00:33:09,240
Speaker 3: Maybe people have good experiences are bad, But I think

684
00:33:09,280 --> 00:33:12,080
Speaker 3: in a case like this, chick gets helpful obviously, because

685
00:33:12,160 --> 00:33:14,560
Speaker 3: what else is she gonna do. They're going to force

686
00:33:14,600 --> 00:33:17,200
Speaker 3: something in there when she could like ease into it

687
00:33:17,240 --> 00:33:20,240
Speaker 3: and have a nice experience and turn her whole attitude

688
00:33:20,240 --> 00:33:21,520
Speaker 3: around about having sex.

689
00:33:23,200 --> 00:33:26,040
Speaker 1: I just think it's it's just an I think about

690
00:33:26,040 --> 00:33:29,480
Speaker 1: this with gynecology too. It's just like a really interesting thing.

691
00:33:29,600 --> 00:33:31,760
Speaker 1: Like people ask me all the time, for example, like

692
00:33:31,800 --> 00:33:33,640
Speaker 1: how'd you get into this and stuff? And I guess

693
00:33:33,680 --> 00:33:36,640
Speaker 1: it's very unusual for people to have a job where

694
00:33:36,640 --> 00:33:39,320
Speaker 1: they're touching dead people, but I think it's more unusual

695
00:33:39,360 --> 00:33:41,160
Speaker 1: to have a job where you're just like arms up

696
00:33:41,160 --> 00:33:43,160
Speaker 1: in a badge all day, Like, how did you get

697
00:33:43,240 --> 00:33:44,720
Speaker 1: into that? How does this interest you?

698
00:33:44,840 --> 00:33:45,000
Speaker 3: How?

699
00:33:45,560 --> 00:33:47,240
Speaker 2: Like, I don't know, it's just crazy to me.

700
00:33:47,440 --> 00:33:49,960
Speaker 3: I mean at first, it's like really awkward because you're

701
00:33:50,000 --> 00:33:51,040
Speaker 3: laying on a table.

702
00:33:51,720 --> 00:33:52,720
Speaker 2: It's believe me.

703
00:33:52,760 --> 00:33:55,160
Speaker 1: It's like, but who's it awkward for the person to

704
00:33:55,280 --> 00:33:55,840
Speaker 1: doing it or.

705
00:33:55,840 --> 00:33:58,080
Speaker 3: Now because you're just like sitting there. But if you're

706
00:33:58,160 --> 00:34:01,240
Speaker 3: just like talking, it's fun whatever. But if you're just

707
00:34:01,280 --> 00:34:04,040
Speaker 3: sitting there in silence while it's happening, it's kind of

708
00:34:04,400 --> 00:34:07,479
Speaker 3: like awkward a little bit, But I mean it it's help.

709
00:34:07,720 --> 00:34:09,920
Speaker 1: They give you the little sunglasses like they do at

710
00:34:09,920 --> 00:34:11,880
Speaker 1: the dentist, so you don't have to make icons.

711
00:34:11,920 --> 00:34:16,200
Speaker 3: No no. It's nice though, because they also focused. I

712
00:34:16,280 --> 00:34:19,000
Speaker 3: noticed this check and her TikTok was explaining that their

713
00:34:19,000 --> 00:34:21,840
Speaker 3: first couple of appointments, she it was a lot of

714
00:34:21,880 --> 00:34:24,920
Speaker 3: emotional stuff. So they'll like talk you through like what

715
00:34:25,040 --> 00:34:27,040
Speaker 3: you're going through and how it's affected you. So it's

716
00:34:27,080 --> 00:34:30,840
Speaker 3: like a mixture of mental health and physical therapy treatment.

717
00:34:31,680 --> 00:34:33,200
Speaker 2: Yeah, that's interesting.

718
00:34:33,239 --> 00:34:36,200
Speaker 3: Okay, This new story is New Fear Unlocked. There's these

719
00:34:36,200 --> 00:34:39,640
Speaker 3: street cars in Toronto, which for us is basically like

720
00:34:39,680 --> 00:34:42,279
Speaker 3: a train that runs along the street instead of in

721
00:34:42,280 --> 00:34:44,680
Speaker 3: tunnels and stuff. But last week this person was on

722
00:34:44,719 --> 00:34:47,279
Speaker 3: it with their friend and they noticed an open syringe

723
00:34:47,320 --> 00:34:49,680
Speaker 3: sticking out from underneath of the seat next to where

724
00:34:49,680 --> 00:34:50,560
Speaker 3: her friend was sitting.

725
00:34:51,800 --> 00:34:53,600
Speaker 1: Yeah, I mean the way that it's sitting there, anybody

726
00:34:53,640 --> 00:34:55,839
Speaker 1: could have easily sat on it, right. Yeah.

727
00:34:55,880 --> 00:34:58,040
Speaker 3: I was looking at it, and like the plunger was

728
00:34:58,080 --> 00:34:59,960
Speaker 3: all the way down, so at least there was no

729
00:35:00,239 --> 00:35:02,080
Speaker 3: liquid of any sort in it. But I mean, it's

730
00:35:02,080 --> 00:35:04,520
Speaker 3: an open syringe. It appears to be used. You don't

731
00:35:04,520 --> 00:35:06,560
Speaker 3: know what's like on the edge of the needle, which

732
00:35:06,600 --> 00:35:09,560
Speaker 3: is disgusting. How disturbing would it be if you just

733
00:35:09,600 --> 00:35:11,920
Speaker 3: sat down on the train and got poked by something

734
00:35:12,000 --> 00:35:12,279
Speaker 3: like that.

735
00:35:12,560 --> 00:35:15,000
Speaker 1: Well, this is a good story though, because this is

736
00:35:15,040 --> 00:35:19,760
Speaker 1: something that people should know about because there's IVY drug

737
00:35:19,840 --> 00:35:22,920
Speaker 1: users all around, right, and that's I mean, we have

738
00:35:23,000 --> 00:35:25,000
Speaker 1: to assume this is from an IVY drug user. It

739
00:35:25,000 --> 00:35:28,520
Speaker 1: could be from a diabetic to our but like who

740
00:35:28,680 --> 00:35:31,239
Speaker 1: uses their medication on the train just sitting there and

741
00:35:31,320 --> 00:35:34,279
Speaker 1: like would leave the needle there that it's more than

742
00:35:34,360 --> 00:35:37,520
Speaker 1: likely an IVY drug user. And with an iv drug user,

743
00:35:37,560 --> 00:35:39,360
Speaker 1: there's just so much of a higher chance of it

744
00:35:39,400 --> 00:35:42,640
Speaker 1: being infectious because sometimes they share needles, and that it

745
00:35:42,680 --> 00:35:46,319
Speaker 1: could have hepsi, hive, any kind of bacteria on it,

746
00:35:46,360 --> 00:35:51,120
Speaker 1: So you could come into a situation where you accidentally

747
00:35:51,920 --> 00:35:54,680
Speaker 1: step on one or sit on one in this case,

748
00:35:54,840 --> 00:35:57,880
Speaker 1: and as soon as you do something like that, you

749
00:35:57,920 --> 00:35:59,600
Speaker 1: need to go get it checked out right away.

750
00:35:59,840 --> 00:36:02,000
Speaker 3: I mean, I would also agree with you that it's

751
00:36:02,080 --> 00:36:06,880
Speaker 3: probably a drug user, because I think most diabetics anymore.

752
00:36:06,960 --> 00:36:10,000
Speaker 3: I mean, there's definitely some people still using traditional surreins

753
00:36:10,000 --> 00:36:12,799
Speaker 3: with syringes with vials. But I'm thinking about my in

754
00:36:12,880 --> 00:36:15,399
Speaker 3: laws who are both diabetic, and they have the pens now,

755
00:36:16,040 --> 00:36:18,680
Speaker 3: and this didn't seem like it was dropped. It was

756
00:36:18,719 --> 00:36:21,920
Speaker 3: intentionally placed underneath the seat, perhaps for somebody to go

757
00:36:22,000 --> 00:36:23,480
Speaker 3: back and get for later use.

758
00:36:24,440 --> 00:36:26,560
Speaker 1: Oh yeah, I didn't even think of that about that,

759
00:36:26,600 --> 00:36:30,480
Speaker 1: but you should go to especially a lot of times

760
00:36:30,520 --> 00:36:33,200
Speaker 1: when people get an injury like this, their first thought

761
00:36:33,239 --> 00:36:35,719
Speaker 1: is to like run in the house and like pour

762
00:36:35,840 --> 00:36:38,040
Speaker 1: bleach on their hand or something. And that's the worst

763
00:36:38,040 --> 00:36:40,719
Speaker 1: thing that you could do, actually, because any kind of

764
00:36:40,760 --> 00:36:44,200
Speaker 1: antiseptic can break down the skin around the puncture wound,

765
00:36:44,760 --> 00:36:47,640
Speaker 1: so the really you should just wash it with soap

766
00:36:47,680 --> 00:36:49,879
Speaker 1: and water and like let it run under the water

767
00:36:49,960 --> 00:36:53,600
Speaker 1: for like ten minutes and just really you should squeeze

768
00:36:53,600 --> 00:36:55,239
Speaker 1: the area and try to just like get it as

769
00:36:55,280 --> 00:36:57,600
Speaker 1: clean as possible and then go to the hospital because

770
00:36:57,640 --> 00:37:02,400
Speaker 1: they can give you post exposure prophylactics, which are anti

771
00:37:02,480 --> 00:37:07,840
Speaker 1: retroviral medications like to prevent you from getting an HIV infection.

772
00:37:08,400 --> 00:37:11,200
Speaker 1: It's not really going to help with hepatitis. A lot

773
00:37:11,239 --> 00:37:14,840
Speaker 1: of times people like, like you're not vaccinated for hepatitis B,

774
00:37:15,040 --> 00:37:19,240
Speaker 1: probably I don't know, usual like that's that's like something

775
00:37:19,239 --> 00:37:21,600
Speaker 1: that healthcare workers. I am just because I worked in

776
00:37:21,600 --> 00:37:24,560
Speaker 1: the hospital, but like there's certain viruses that you could get,

777
00:37:24,600 --> 00:37:27,480
Speaker 1: and it's just terrible if you have an exposure like that,

778
00:37:27,880 --> 00:37:31,479
Speaker 1: and the at least in the hospital most of the time,

779
00:37:31,520 --> 00:37:34,880
Speaker 1: like if I get caught on an autop sero surgical specimen,

780
00:37:34,960 --> 00:37:37,080
Speaker 1: like the person's in the hospital and I could get

781
00:37:37,239 --> 00:37:39,360
Speaker 1: their blood and see if they have any kind of

782
00:37:39,400 --> 00:37:42,480
Speaker 1: infectious diseases, Whereas like if you just find a rando

783
00:37:42,640 --> 00:37:44,919
Speaker 1: on the street and get stuck with it, then then

784
00:37:44,960 --> 00:37:47,520
Speaker 1: you don't even know if the person's carrying anything that

785
00:37:47,600 --> 00:37:51,080
Speaker 1: you should be worried about. So if you ever have

786
00:37:51,320 --> 00:37:55,520
Speaker 1: something like that happen, I mean, listen, Like, the chance

787
00:37:55,560 --> 00:37:59,120
Speaker 1: of getting anything in this situation is low in my opinion,

788
00:37:59,239 --> 00:38:02,239
Speaker 1: because it would go into your butt fat or your

789
00:38:02,320 --> 00:38:04,759
Speaker 1: butt muscle, like if it didn't go directly into your

790
00:38:04,800 --> 00:38:08,200
Speaker 1: bloodstream it and it's sitting there.

791
00:38:08,080 --> 00:38:09,959
Speaker 3: Well, it was like under the seat, So I would

792
00:38:09,960 --> 00:38:12,200
Speaker 3: say it would probably most likely pinch you in your

793
00:38:12,280 --> 00:38:15,120
Speaker 3: thigh or your calf because of where it was underneath

794
00:38:15,120 --> 00:38:17,799
Speaker 3: of the seat. Yeah, but I mean it, but it's

795
00:38:17,840 --> 00:38:21,600
Speaker 3: not going into your vein. No, but but still and

796
00:38:21,880 --> 00:38:24,439
Speaker 3: there's no visible blood on the needles, so like there's

797
00:38:24,520 --> 00:38:27,480
Speaker 3: just different things like that. But still like stranger things

798
00:38:27,600 --> 00:38:31,200
Speaker 3: have happened, so you should always get that checked out

799
00:38:31,239 --> 00:38:32,600
Speaker 3: out And it's just disgusting.

800
00:38:33,640 --> 00:38:34,560
Speaker 2: It is disgusting.

801
00:38:34,680 --> 00:38:37,520
Speaker 1: But remember one time we found well that was near

802
00:38:37,560 --> 00:38:40,560
Speaker 1: your house that we found that whole entire like jar

803
00:38:40,760 --> 00:38:41,560
Speaker 1: of needles.

804
00:38:41,880 --> 00:38:44,279
Speaker 3: Yeah, in the your house bush. I have this like

805
00:38:44,360 --> 00:38:48,520
Speaker 3: bush in my front yard on the corner. And this

806
00:38:48,640 --> 00:38:49,600
Speaker 3: person is weird.

807
00:38:49,680 --> 00:38:49,879
Speaker 2: Yeah.

808
00:38:49,880 --> 00:38:52,520
Speaker 3: There we were like doing lawn work and my husband

809
00:38:52,520 --> 00:38:55,719
Speaker 3: pulls out this gatoride bottle filled with syringes and we

810
00:38:55,760 --> 00:38:58,640
Speaker 3: were just like what the fuck, Like it is it is.

811
00:38:58,680 --> 00:39:00,000
Speaker 2: Like a random location.

812
00:39:00,160 --> 00:39:05,239
Speaker 1: And like when Lucia was taking shots for her autoimmune thing,

813
00:39:06,120 --> 00:39:09,600
Speaker 1: I would put the needles into like a like a

814
00:39:09,640 --> 00:39:12,319
Speaker 1: water bottle or something like that, so they because we

815
00:39:12,360 --> 00:39:16,840
Speaker 1: didn't always have the the sharps container. But yeah, but

816
00:39:16,920 --> 00:39:19,439
Speaker 1: then you would throw them out, like you don't put it.

817
00:39:19,640 --> 00:39:22,279
Speaker 1: You don't just like leave it on the can't even

818
00:39:22,320 --> 00:39:26,120
Speaker 1: somebody put your trash like somebody somebody like yeah, somebody

819
00:39:26,160 --> 00:39:29,040
Speaker 1: placed it there. It's just not you could think like

820
00:39:29,160 --> 00:39:32,359
Speaker 1: maybe someone's trash can spilled over or something, but that's

821
00:39:32,440 --> 00:39:35,239
Speaker 1: not anywhere near where anybody would even put trash can

822
00:39:35,320 --> 00:39:37,319
Speaker 1: to the curb. So it's just like really bizarre that

823
00:39:37,400 --> 00:39:37,879
Speaker 1: it was there.

824
00:39:38,360 --> 00:39:40,200
Speaker 3: All right, So we have an update about the pregnant

825
00:39:40,239 --> 00:39:42,480
Speaker 3: Georgia woman who has declared brain dead and kept on

826
00:39:42,520 --> 00:39:45,960
Speaker 3: life support because she was pregnant, and she has been

827
00:39:45,960 --> 00:39:49,080
Speaker 3: there since February and now her baby has finally been

828
00:39:49,120 --> 00:39:52,240
Speaker 3: delivered via c section on Friday, and now they're planning

829
00:39:52,280 --> 00:39:53,640
Speaker 3: to take her off of life support.

830
00:39:54,880 --> 00:39:57,480
Speaker 1: Yeah, so the baby they wanted to keep her. I

831
00:39:57,520 --> 00:39:59,640
Speaker 1: guess she was eight or nine, somewhere in between eight

832
00:39:59,680 --> 00:40:03,920
Speaker 1: and nine pregnant when she when she had this incident

833
00:40:03,960 --> 00:40:07,480
Speaker 1: where she was declared brain dead and they were they said, okay,

834
00:40:07,520 --> 00:40:09,799
Speaker 1: that she she's going to die, and then they made

835
00:40:09,880 --> 00:40:13,920
Speaker 1: her mother keep her alive because she was pregnant, which

836
00:40:13,960 --> 00:40:18,080
Speaker 1: is kind of outrageous, but they said that they wanted

837
00:40:18,120 --> 00:40:21,000
Speaker 1: to keep her pregnant until she was thirty two weeks,

838
00:40:21,000 --> 00:40:23,919
Speaker 1: so she had this so the baby had the best

839
00:40:24,000 --> 00:40:27,400
Speaker 1: chance of survival, and they delivered her this week at

840
00:40:27,440 --> 00:40:30,040
Speaker 1: twenty five weeks, which.

841
00:40:29,840 --> 00:40:32,600
Speaker 3: Is really really really early. Yeah, he was less than

842
00:40:32,680 --> 00:40:33,720
Speaker 3: two pounds.

843
00:40:34,040 --> 00:40:37,600
Speaker 1: Yeah, so the chance of survival though, is pretty good,

844
00:40:37,719 --> 00:40:41,920
Speaker 1: like seventy eighty percent in twenty five weeks. We actually

845
00:40:42,000 --> 00:40:43,799
Speaker 1: know someone that was born at twenty five weeks and

846
00:40:43,840 --> 00:40:44,839
Speaker 1: he's like fifty years old.

847
00:40:44,920 --> 00:40:45,319
Speaker 2: So if he.

848
00:40:45,360 --> 00:40:48,440
Speaker 1: Survived, he's a doctor actually too. It was like, is

849
00:40:48,440 --> 00:40:53,600
Speaker 1: it he's a little off. He's a little off, but no,

850
00:40:53,680 --> 00:40:57,960
Speaker 1: he's one of my friends. But yeah, he he lived

851
00:40:58,280 --> 00:41:00,760
Speaker 1: at that time. I mean, it's such a tiny little baby.

852
00:41:00,840 --> 00:41:03,920
Speaker 1: But so now, like Maria said, they're going to take

853
00:41:03,920 --> 00:41:05,600
Speaker 1: the mom. I think they said they were taking her

854
00:41:05,600 --> 00:41:09,279
Speaker 1: off today. Actually, what an emotional roller coaster for this

855
00:41:09,400 --> 00:41:11,000
Speaker 1: poor mom to go on and you want to hear

856
00:41:11,280 --> 00:41:12,840
Speaker 1: I don't know if you heard this sad part of

857
00:41:12,880 --> 00:41:15,560
Speaker 1: the story too. She has a seven year old little

858
00:41:15,640 --> 00:41:19,840
Speaker 1: boy that the mom that that her mother has said

859
00:41:19,880 --> 00:41:22,440
Speaker 1: that the kid thinks that the that his mom's sleeping

860
00:41:23,480 --> 00:41:25,240
Speaker 1: and doesn't even know about the baby.

861
00:41:25,360 --> 00:41:26,080
Speaker 2: That's horrible.

862
00:41:26,239 --> 00:41:28,919
Speaker 1: So like it's horrible. It's so horrible for her because

863
00:41:28,960 --> 00:41:31,520
Speaker 1: not only when you say that, you speaking about the

864
00:41:31,640 --> 00:41:35,440
Speaker 1: woman the grandmother. Yeah, the woman who's in the who's

865
00:41:35,840 --> 00:41:40,600
Speaker 1: on life supports mother. Like, think about the ship she's

866
00:41:40,680 --> 00:41:42,799
Speaker 1: gone through in the past couple of months of like

867
00:41:42,880 --> 00:41:46,560
Speaker 1: getting that call that your daughter's been that your daughter

868
00:41:46,640 --> 00:41:49,960
Speaker 1: is hurt and may not survive, and then being told, Okay,

869
00:41:50,000 --> 00:41:52,880
Speaker 1: your daughter's definitely not going to survive, and then have

870
00:41:53,120 --> 00:41:55,120
Speaker 1: and then being told you can't take her off life

871
00:41:55,160 --> 00:41:59,000
Speaker 1: support because she's pregnant. Sitting there and just watching her

872
00:41:59,160 --> 00:42:02,120
Speaker 1: just like dead. She's dead on machines for months and

873
00:42:02,120 --> 00:42:05,080
Speaker 1: months and months just incubating this baby. And now the

874
00:42:05,160 --> 00:42:07,200
Speaker 1: baby you know. So now it's like the baby's born.

875
00:42:07,280 --> 00:42:09,360
Speaker 1: She's gonna love the baby, obviously, but the baby's in

876
00:42:09,400 --> 00:42:12,200
Speaker 1: the nick you now for for months. The baby will

877
00:42:12,200 --> 00:42:15,799
Speaker 1: be in the nick you to get their lungs more

878
00:42:15,840 --> 00:42:19,759
Speaker 1: mature and things like that. But then having the grandson

879
00:42:19,840 --> 00:42:23,640
Speaker 1: at home, who now she has to tell that his

880
00:42:23,760 --> 00:42:27,360
Speaker 1: mom's dead, and oh and you have a sibling now too. Like,

881
00:42:27,400 --> 00:42:29,640
Speaker 1: it's just a lot and I don't know what the

882
00:42:29,719 --> 00:42:31,879
Speaker 1: right thing to do is with with a little kid

883
00:42:31,920 --> 00:42:34,200
Speaker 1: like that that's seven, like they just don't understand.

884
00:42:35,360 --> 00:42:36,760
Speaker 2: Well, I mean, it is horrible.

885
00:42:36,760 --> 00:42:39,480
Speaker 1: It's so horrible though, but a kid that's seven is

886
00:42:39,520 --> 00:42:42,719
Speaker 1: also like kind of hip and those you know, you

887
00:42:42,800 --> 00:42:44,799
Speaker 1: think that they don't really know what's going on, but

888
00:42:44,840 --> 00:42:46,120
Speaker 1: they know what's going on, you know.

889
00:42:46,160 --> 00:42:48,759
Speaker 3: I have to tell the kid, I mean it, it's

890
00:42:48,880 --> 00:42:51,680
Speaker 3: unfortunate because of how young he is. I feel like

891
00:42:51,680 --> 00:42:54,799
Speaker 3: he'll be able to heal a little better than if

892
00:42:54,800 --> 00:42:57,800
Speaker 3: he was older and fully understood what was going Yeah, it's.

893
00:42:57,719 --> 00:43:00,560
Speaker 1: Just like it's just like such a crazy and really

894
00:43:00,600 --> 00:43:03,440
Speaker 1: like the mom. The mom is feeling the brunt of

895
00:43:03,480 --> 00:43:05,520
Speaker 1: all of this, you know, Yeah, I.

896
00:43:05,520 --> 00:43:06,600
Speaker 2: Feel terrible for her.

897
00:43:06,680 --> 00:43:08,480
Speaker 3: All right, let's move on to questions of the day.

898
00:43:08,520 --> 00:43:10,480
Speaker 3: Every Friday at the AP mother knows that the Instagram

899
00:43:10,520 --> 00:43:12,640
Speaker 3: account you guys had head over to our story and

900
00:43:12,719 --> 00:43:16,080
Speaker 3: ask whatever you want. First, how can they tell from

901
00:43:16,280 --> 00:43:19,480
Speaker 3: just the skeleton that a woman has given birth? So

902
00:43:19,840 --> 00:43:23,000
Speaker 3: in the past, they would say that these partuition scars

903
00:43:23,040 --> 00:43:27,160
Speaker 3: which are on the pelvis were indicative of a woman

904
00:43:27,200 --> 00:43:30,520
Speaker 3: who has given birth, and now they're saying that they

905
00:43:30,520 --> 00:43:33,120
Speaker 3: don't really know if that's one hundred percent true. And

906
00:43:33,480 --> 00:43:35,720
Speaker 3: the reason why this is so important is because sometimes

907
00:43:35,800 --> 00:43:39,360
Speaker 3: if they find a skeleton in the woods, for example,

908
00:43:40,120 --> 00:43:42,760
Speaker 3: they're going to look at it and they'll be able

909
00:43:42,800 --> 00:43:45,720
Speaker 3: to estimate, Okay, this was a woman of child bearing

910
00:43:45,760 --> 00:43:47,360
Speaker 3: age and it looks like she had a kid. They

911
00:43:47,360 --> 00:43:49,080
Speaker 3: would say, you know, stuff like that, so you could

912
00:43:49,120 --> 00:43:52,160
Speaker 3: kind of narrow down who this person is. And now

913
00:43:52,200 --> 00:43:55,280
Speaker 3: they're saying that these might be some kind of scars

914
00:43:55,320 --> 00:43:57,719
Speaker 3: that are almost like think about like a stretch mark

915
00:43:57,760 --> 00:44:01,880
Speaker 3: that would occur and it to do with the pelvis growing.

916
00:44:02,280 --> 00:44:06,160
Speaker 3: So usually they are found in women because the most

917
00:44:06,200 --> 00:44:09,200
Speaker 3: common thing that happens in women is childbirth that causes

918
00:44:09,239 --> 00:44:12,240
Speaker 3: the pelvis to grow and to stretch. But they've also

919
00:44:12,400 --> 00:44:15,760
Speaker 3: been seen in men too, so that kind of pushes

920
00:44:15,800 --> 00:44:18,440
Speaker 3: it out that that is there. So it might be

921
00:44:18,520 --> 00:44:21,560
Speaker 3: consistent with a person that has had childbirth or at

922
00:44:21,640 --> 00:44:25,399
Speaker 3: least has been pregnant. But now they're saying that that's

923
00:44:25,480 --> 00:44:29,480
Speaker 3: not a true telltale sign that that's the case all

924
00:44:29,560 --> 00:44:32,839
Speaker 3: right too. If somebody dies smiling, does their corpse stay

925
00:44:32,880 --> 00:44:38,880
Speaker 3: smiling or does the muscle relax? No, it doesn't stay smiling.

926
00:44:39,000 --> 00:44:41,480
Speaker 3: So if you think about when you smile, it's like

927
00:44:42,560 --> 00:44:45,160
Speaker 3: something in your brain is making you happy and it's

928
00:44:45,200 --> 00:44:50,040
Speaker 3: sending messages to your mouth muscles around your mouth that smile. Okay,

929
00:44:50,160 --> 00:44:52,839
Speaker 3: so then you smile and then that sends messages back

930
00:44:52,840 --> 00:44:56,719
Speaker 3: to your brain that's like, oh, that feels good, and

931
00:44:57,160 --> 00:45:00,640
Speaker 3: you continue to smile. Right, But when you're dead, all

932
00:45:00,680 --> 00:45:04,200
Speaker 3: of those signals turn off, so that doesn't happen anymore.

933
00:45:04,719 --> 00:45:08,480
Speaker 3: And when you talk about rigor mortis, which is post

934
00:45:08,520 --> 00:45:12,600
Speaker 3: mortem muscle stiffening, that doesn't even start until about a

935
00:45:12,640 --> 00:45:15,520
Speaker 3: half hour after death. But it really takes a couple

936
00:45:15,560 --> 00:45:18,440
Speaker 3: hours for that to fully kick in anyway, And that

937
00:45:18,520 --> 00:45:21,960
Speaker 3: really has nothing to do with it either. So to

938
00:45:22,040 --> 00:45:25,840
Speaker 3: answer your question, no, that usually when a person dies,

939
00:45:25,880 --> 00:45:30,640
Speaker 3: their muscles are very floppy. And you ever talk about

940
00:45:30,680 --> 00:45:33,160
Speaker 3: like picking up someone that's dead weight, like they can't

941
00:45:33,239 --> 00:45:37,600
Speaker 3: hold you know, it's literally dead weight. So they're very

942
00:45:37,640 --> 00:45:40,600
Speaker 3: floppy and they don't start to stiffen for hours afterwards.

943
00:45:40,840 --> 00:45:44,160
Speaker 3: Speaking of public floor therapy. My last appointment, there was

944
00:45:44,280 --> 00:45:47,160
Speaker 3: like a dead deer in front of the complex that

945
00:45:47,320 --> 00:45:49,400
Speaker 3: was laying there, and you know, it was off to

946
00:45:49,440 --> 00:45:51,399
Speaker 3: the side, it was on the sidewalk. I just drove

947
00:45:51,440 --> 00:45:52,200
Speaker 3: from the driveway.

948
00:45:52,239 --> 00:45:52,600
Speaker 2: Whatever.

949
00:45:53,080 --> 00:45:55,160
Speaker 3: So I'm in the waiting room and this crazy old

950
00:45:55,239 --> 00:45:58,480
Speaker 3: lady comes in and starts telling the receptionist, I have

951
00:45:58,520 --> 00:46:01,720
Speaker 3: a job for you, and then she starts complaining about

952
00:46:01,719 --> 00:46:04,719
Speaker 3: this dead deer. Mind you, there are fifty businesses in

953
00:46:04,800 --> 00:46:07,759
Speaker 3: this complex, Like this is this lady's personal job to

954
00:46:07,800 --> 00:46:08,480
Speaker 3: get this deer move.

955
00:46:08,719 --> 00:46:10,040
Speaker 2: Also, it was on the side.

956
00:46:10,400 --> 00:46:12,080
Speaker 3: I mean this thing you know when deers are dead

957
00:46:12,120 --> 00:46:12,600
Speaker 3: and they're.

958
00:46:12,440 --> 00:46:18,480
Speaker 1: Like truly yeah, full on rigor. Also yeah, also like

959
00:46:18,560 --> 00:46:21,120
Speaker 1: when they start to decompose and they blow it. Also

960
00:46:21,280 --> 00:46:23,240
Speaker 1: just kind of it's like a float.

961
00:46:23,320 --> 00:46:25,120
Speaker 3: It looks like a stuff fan like fills it up

962
00:46:25,120 --> 00:46:27,479
Speaker 3: with air. So she's going on this whole tirade about

963
00:46:27,520 --> 00:46:29,720
Speaker 3: how it just got hit and it's in the middle

964
00:46:29,760 --> 00:46:31,680
Speaker 3: of the driveway, and I'm like, first of all, it's

965
00:46:31,680 --> 00:46:34,040
Speaker 3: in rigor, so it didn't just get hit minutes ago.

966
00:46:34,320 --> 00:46:35,840
Speaker 3: Second of all, it was not in the middle of

967
00:46:35,880 --> 00:46:39,160
Speaker 3: the driveway. Third, it is not their receptionist problem. I'm

968
00:46:39,160 --> 00:46:41,560
Speaker 3: trying to make eye contact with her the entire time,

969
00:46:41,640 --> 00:46:41,960
Speaker 3: like this.

970
00:46:42,000 --> 00:46:43,120
Speaker 2: Bitch is crazier.

971
00:46:44,760 --> 00:46:47,360
Speaker 3: Then she sits down starts asking me if it bothered me.

972
00:46:47,480 --> 00:46:49,719
Speaker 3: I'm like, it really didn't bother me. It was not

973
00:46:49,840 --> 00:46:50,319
Speaker 3: in the way.

974
00:46:50,719 --> 00:46:53,080
Speaker 2: But that's just a full circle moment.

975
00:46:53,160 --> 00:46:56,280
Speaker 3: Oh boy, Anyway, last, how did you choose your daughter's names?

976
00:46:57,800 --> 00:47:00,640
Speaker 2: Oh, well, Marie's name.

977
00:47:01,360 --> 00:47:04,000
Speaker 1: I just liked the name Maria, so there was I

978
00:47:04,040 --> 00:47:06,680
Speaker 1: don't know, there was nothing like romantic about her name.

979
00:47:06,719 --> 00:47:11,600
Speaker 1: I just liked it, and so did my parents because

980
00:47:11,760 --> 00:47:13,960
Speaker 1: like I was a teenager, so it was just like

981
00:47:14,000 --> 00:47:16,120
Speaker 1: it worked out. We just were like, oh, that's cool.

982
00:47:17,280 --> 00:47:20,160
Speaker 1: I'm not like, I'm not crazy with the names like

983
00:47:20,320 --> 00:47:21,040
Speaker 1: some people are.

984
00:47:21,080 --> 00:47:21,640
Speaker 2: It's funny.

985
00:47:22,160 --> 00:47:24,840
Speaker 1: I I feel like Maria and I were talking about

986
00:47:24,840 --> 00:47:27,720
Speaker 1: this a few weeks ago because I saw some video

987
00:47:27,920 --> 00:47:31,040
Speaker 1: about one of the Kardashians like changing the kid's name

988
00:47:31,120 --> 00:47:33,040
Speaker 1: after a year and this and that, and it's just

989
00:47:33,080 --> 00:47:36,200
Speaker 1: like I feel like that's kind of like a narcissistic quality,

990
00:47:36,320 --> 00:47:38,680
Speaker 1: like get over yourself. You're not that important, Like you

991
00:47:38,680 --> 00:47:40,719
Speaker 1: don't need to change your kid's name after a year,

992
00:47:41,000 --> 00:47:44,120
Speaker 1: Which is interesting because I'm I'm kind of a crazy

993
00:47:44,160 --> 00:47:47,960
Speaker 1: person when it comes to like changing things at my house.

994
00:47:48,040 --> 00:47:52,440
Speaker 3: For example, you basically have a full year. You have

995
00:47:52,920 --> 00:47:56,280
Speaker 3: nine months to decide what the name of your kid.

996
00:47:56,200 --> 00:47:56,719
Speaker 2: Is gonna be.

997
00:47:56,880 --> 00:47:59,960
Speaker 3: I mean, my mind is blown when people can't name

998
00:48:00,160 --> 00:48:03,160
Speaker 3: their kids when they're born. It's like you really haven't

999
00:48:03,239 --> 00:48:05,520
Speaker 3: had enough time to think this through.

1000
00:48:05,880 --> 00:48:08,279
Speaker 1: It's it is, it's it's like so weird to me,

1001
00:48:08,440 --> 00:48:10,360
Speaker 1: and it's just like it's just not that big of

1002
00:48:10,400 --> 00:48:15,799
Speaker 1: a deal. So yeah, So with Lilian, before Gabe and

1003
00:48:15,840 --> 00:48:19,680
Speaker 1: I even like before I even got pregnant, he was

1004
00:48:19,719 --> 00:48:21,640
Speaker 1: always like, oh, if I ever have a girl, I'm

1005
00:48:21,719 --> 00:48:24,200
Speaker 1: naming her Lilian, after my grandmom. Like he called that

1006
00:48:24,320 --> 00:48:28,640
Speaker 1: name years before I even got pregnant. So like I

1007
00:48:28,760 --> 00:48:30,480
Speaker 1: just knew if I had a girl that her name

1008
00:48:30,520 --> 00:48:34,920
Speaker 1: was going to be Lilian. And then with Lucia, we

1009
00:48:35,000 --> 00:48:37,399
Speaker 1: didn't have anything set because that was the only name

1010
00:48:37,440 --> 00:48:39,759
Speaker 1: that we wrote that we were going to use, and

1011
00:48:39,960 --> 00:48:42,040
Speaker 1: we were going to use Santino if we had a boy.

1012
00:48:43,040 --> 00:48:46,600
Speaker 1: So and then we just thought Luccio was going to

1013
00:48:46,640 --> 00:48:48,200
Speaker 1: be a boy because like, how could I have three

1014
00:48:48,239 --> 00:48:52,279
Speaker 1: girls in a rep So since she ended up being

1015
00:48:52,320 --> 00:48:55,440
Speaker 1: a girl, we we just wrote down like I really.

1016
00:48:55,480 --> 00:48:57,440
Speaker 1: I wrote down a bunch of names and was like

1017
00:48:57,719 --> 00:48:59,919
Speaker 1: like five or six names, and then me and Gabe

1018
00:49:00,160 --> 00:49:02,759
Speaker 1: Maria like sat around and we're like, okay, which one

1019
00:49:03,200 --> 00:49:05,560
Speaker 1: like at the top of the running for me personally

1020
00:49:05,640 --> 00:49:08,560
Speaker 1: with Stella. But I also thought that there would have

1021
00:49:08,640 --> 00:49:12,000
Speaker 1: been like other names that I would be fine with, because,

1022
00:49:12,040 --> 00:49:14,759
Speaker 1: like I said, I just don't like I could have

1023
00:49:14,880 --> 00:49:15,359
Speaker 1: went with.

1024
00:49:15,280 --> 00:49:16,200
Speaker 2: Any of them.

1025
00:49:16,400 --> 00:49:19,480
Speaker 1: And then Maria and Gabe both picked Luccio. So that's

1026
00:49:19,600 --> 00:49:21,759
Speaker 1: how it went, and I think it's it worked out

1027
00:49:21,920 --> 00:49:24,920
Speaker 1: perfect for her. But she also she also could have

1028
00:49:24,960 --> 00:49:27,000
Speaker 1: been a Stella too. Probably Stella is.

1029
00:49:27,000 --> 00:49:29,680
Speaker 3: A really cute name. But of course, now that she's

1030
00:49:29,760 --> 00:49:31,640
Speaker 3: older and stuff, and she has like kind of a

1031
00:49:31,760 --> 00:49:36,239
Speaker 3: raspy voice and she's like fuzzy and stuff, Like a

1032
00:49:36,280 --> 00:49:39,239
Speaker 3: little girl named Stella with like a smoker's voice like

1033
00:49:39,320 --> 00:49:41,640
Speaker 3: she had when she was really little would have been

1034
00:49:41,680 --> 00:49:42,400
Speaker 3: really funny.

1035
00:49:42,640 --> 00:49:44,800
Speaker 1: She doesn't have that anymore, no, but when.

1036
00:49:44,680 --> 00:49:47,359
Speaker 3: She was really little she had the real raspy, old

1037
00:49:47,400 --> 00:49:49,879
Speaker 3: lady smoker's voice and her name, which we.

1038
00:49:49,840 --> 00:49:52,720
Speaker 1: Always thought, Yeah, we always thought that would have been funny.

1039
00:49:52,760 --> 00:49:56,160
Speaker 2: So yeah, so that was it.

1040
00:49:56,160 --> 00:49:58,080
Speaker 1: It was nothing. I mean, it was cool because we

1041
00:49:58,120 --> 00:50:00,120
Speaker 1: all kind of picked it out. I liked it, and

1042
00:50:00,160 --> 00:50:02,359
Speaker 1: then gab and Maria did too. So her middle name

1043
00:50:02,440 --> 00:50:04,960
Speaker 1: she didn't have. We didn't have a middle name picked out.

1044
00:50:05,000 --> 00:50:07,720
Speaker 1: And when she came out, she was really like red

1045
00:50:07,800 --> 00:50:11,640
Speaker 1: and ruddy. She had some billy rubens, so she just

1046
00:50:11,719 --> 00:50:14,399
Speaker 1: had like this like kind of tannish red skin color.

1047
00:50:14,440 --> 00:50:17,600
Speaker 1: So we just called her Rose because it's because she

1048
00:50:17,800 --> 00:50:21,600
Speaker 1: was rosy. And that's it. Nothing, nothing too crazy, no,

1049
00:50:21,800 --> 00:50:23,520
Speaker 1: but we did it. We should have called her like

1050
00:50:23,560 --> 00:50:26,000
Speaker 1: Guda because she was like covered in cheese so bad

1051
00:50:26,040 --> 00:50:26,680
Speaker 1: when she came out.

1052
00:50:26,760 --> 00:50:28,920
Speaker 3: We did not foresee, however, that people were going to

1053
00:50:28,960 --> 00:50:31,560
Speaker 3: call her Lucia, which is crazy.

1054
00:50:31,280 --> 00:50:35,360
Speaker 1: Well, and that that was really like speaking of changing,

1055
00:50:35,400 --> 00:50:38,439
Speaker 1: I would never change my kid's name. But the very

1056
00:50:38,480 --> 00:50:43,840
Speaker 1: first time we went to the pediatrician, they they said Lucia,

1057
00:50:44,560 --> 00:50:46,880
Speaker 1: and I was like, oh shit, man, I gave her

1058
00:50:46,880 --> 00:50:48,759
Speaker 1: one of these names that nobody's going to know how

1059
00:50:48,760 --> 00:50:54,040
Speaker 1: to pronounce. And it's always like Lucia Lucia, like nobody

1060
00:50:54,080 --> 00:50:58,640
Speaker 1: ever gets it right actually, And Gabe said, but Gabe's

1061
00:50:58,680 --> 00:50:59,759
Speaker 1: name's gabriel right.

1062
00:51:00,120 --> 00:51:01,280
Speaker 2: That to me is like easy.

1063
00:51:01,480 --> 00:51:04,520
Speaker 1: People called him Gabrielle every single time in school, like

1064
00:51:04,560 --> 00:51:08,680
Speaker 1: calling his name and embarrassing. I guess it's just like whatever.

1065
00:51:08,760 --> 00:51:12,399
Speaker 1: So I felt kind of bad because nobody, nobody ever

1066
00:51:12,440 --> 00:51:14,680
Speaker 1: gets her name right. And that continues to this day.

1067
00:51:14,760 --> 00:51:16,920
Speaker 3: I mean, people call me Mariah all the time, and

1068
00:51:16,960 --> 00:51:22,560
Speaker 3: I'm like, do we just with boomers in particular, they're

1069
00:51:22,600 --> 00:51:25,520
Speaker 3: just too lazy to say the last so well, and

1070
00:51:25,560 --> 00:51:29,000
Speaker 3: then young people always call me Mariah and I'm like,

1071
00:51:29,760 --> 00:51:32,359
Speaker 3: and I just guess we're not learning how to read anymore,

1072
00:51:33,080 --> 00:51:33,359
Speaker 3: you know.

1073
00:51:33,360 --> 00:51:36,240
Speaker 1: How, Like I get tripped up with the name like

1074
00:51:36,239 --> 00:51:40,319
Speaker 1: like Kristin because it's like Kristin and like I have,

1075
00:51:40,680 --> 00:51:42,719
Speaker 1: like I don't have that many friends, and a lot

1076
00:51:42,760 --> 00:51:48,120
Speaker 1: of them have the same name Chrissy, Kristin, Christine. They're

1077
00:51:48,160 --> 00:51:50,080
Speaker 1: all like kind of the same.

1078
00:51:50,320 --> 00:51:53,319
Speaker 2: Yeah. And then and it's like maybe people, yeah, like

1079
00:51:53,400 --> 00:51:55,080
Speaker 2: maybe people get like that with.

1080
00:51:56,600 --> 00:51:59,640
Speaker 1: Like with the Maria, Mariah, Marie, like they're all kind

1081
00:51:59,640 --> 00:52:02,200
Speaker 1: of the same, you know that people can't ever.

1082
00:52:03,600 --> 00:52:04,080
Speaker 2: Remember.

1083
00:52:04,200 --> 00:52:06,799
Speaker 3: I don't know, that's is weird, all right, guys. Well,

1084
00:52:06,800 --> 00:52:08,920
Speaker 3: we have the Meat and Greek coming up in Atlanta,

1085
00:52:09,000 --> 00:52:11,120
Speaker 3: and we also have a new event, a Crime and

1086
00:52:11,200 --> 00:52:13,719
Speaker 3: Whine that's gonna happen at the Georgia Writers Museum on

1087
00:52:13,800 --> 00:52:17,040
Speaker 3: July twelfth, So tickets for that are in the description

1088
00:52:17,120 --> 00:52:19,160
Speaker 3: of this episode or in the grocerroom or on our

1089
00:52:19,200 --> 00:52:21,560
Speaker 3: social media and if you can head over to Apple

1090
00:52:21,640 --> 00:52:25,160
Speaker 3: or Spotify, leave us review, subscribe to our YouTube channel order.

1091
00:52:25,160 --> 00:52:26,719
Speaker 3: If you have a story for us, please submit it

1092
00:52:26,719 --> 00:52:28,760
Speaker 3: to stories at Mothernosdeath dot com.

1093
00:52:29,560 --> 00:52:31,440
Speaker 1: Yeah, guys, leave us a review, because a lot of

1094
00:52:31,480 --> 00:52:35,640
Speaker 1: people have been emailing me and saying, like one particular

1095
00:52:35,680 --> 00:52:37,440
Speaker 1: person was like, I listen to you guys all the

1096
00:52:37,480 --> 00:52:39,400
Speaker 1: time with my mom. I don't miss an episode. And

1097
00:52:39,440 --> 00:52:42,440
Speaker 1: I was like, Oh, that's so cool. And then someone

1098
00:52:42,520 --> 00:52:45,279
Speaker 1: told me, I know, I'm like, did you give us

1099
00:52:45,280 --> 00:52:48,400
Speaker 1: a five star review? And someone else told me, I

1100
00:52:48,400 --> 00:52:50,080
Speaker 1: don't even know if I told you this ree. Someone

1101
00:52:50,080 --> 00:52:52,600
Speaker 1: messaged me and told me that because I was talking

1102
00:52:52,640 --> 00:52:55,200
Speaker 1: about my cancer story that they went and got a

1103
00:52:55,239 --> 00:52:57,439
Speaker 1: bump checked out on them and it ended up being

1104
00:52:57,440 --> 00:53:00,879
Speaker 1: Basilsuth Carconoma too. Yeah, And I was like, oh, that's

1105
00:53:00,880 --> 00:53:03,880
Speaker 1: so cool, Like I'm glad that I could have helped

1106
00:53:03,880 --> 00:53:07,520
Speaker 1: with that, yeah, because it's so scary that it just

1107
00:53:07,560 --> 00:53:10,399
Speaker 1: doesn't look like anything. And then and like, honestly, they're

1108
00:53:10,480 --> 00:53:13,799
Speaker 1: kind of they're not aggressive cancer. So sometimes they could

1109
00:53:13,840 --> 00:53:16,240
Speaker 1: stay there for a couple of years and not do anything,

1110
00:53:16,320 --> 00:53:18,560
Speaker 1: but it's just better to get that shit off of

1111
00:53:18,600 --> 00:53:19,880
Speaker 1: you as fast as possible.

1112
00:53:20,080 --> 00:53:22,360
Speaker 3: Yeah, all right, Well, we will see you guys tomorrow.

1113
00:53:22,880 --> 00:53:27,000
Speaker 2: See Yeah.

1114
00:53:27,040 --> 00:53:30,880
Speaker 1: Thank you for listening to Mother Nos Death. As a reminder,

1115
00:53:31,080 --> 00:53:34,880
Speaker 1: my training is as a pathologists assistant. I have a

1116
00:53:34,920 --> 00:53:39,280
Speaker 1: master's level education and specialize in anatomy and pathology education.

1117
00:53:40,400 --> 00:53:42,680
Speaker 1: I am not a doctor and I've not diagnosed or

1118
00:53:42,719 --> 00:53:46,400
Speaker 1: treated anyone dead or alive without the assistance of a

1119
00:53:46,480 --> 00:53:51,880
Speaker 1: licensed medical doctor. This show, my website, and social media

1120
00:53:51,920 --> 00:53:55,200
Speaker 1: accounts are designed to educate and inform people based on

1121
00:53:55,280 --> 00:53:59,640
Speaker 1: my experience working in pathology, so they can make healthier

1122
00:53:59,680 --> 00:54:04,080
Speaker 1: decision regarding their life and well being. Always remember that

1123
00:54:04,120 --> 00:54:07,160
Speaker 1: science is changing every day and the opinions expressed in

1124
00:54:07,200 --> 00:54:10,280
Speaker 1: this episode are based on my knowledge of those subjects

1125
00:54:10,280 --> 00:54:13,680
Speaker 1: at the time of publication. If you are having a

1126
00:54:13,719 --> 00:54:18,640
Speaker 1: medical problem, have a medical question, or having a medical emergency,

1127
00:54:19,200 --> 00:54:22,600
Speaker 1: please contact your physician or visit an urgent care center,

1128
00:54:22,920 --> 00:54:24,120
Speaker 1: emergency room.

1129
00:54:24,120 --> 00:54:24,880
Speaker 2: Or hospital.

1130
00:54:25,560 --> 00:54:31,279
Speaker 1: Please rate, review, and subscribe to Mother Knows Death on Apple, Spotify, YouTube,

1131
00:54:31,520 --> 00:54:33,080
Speaker 1: or anywhere you get podcasts.

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00:54:33,560 --> 00:54:35,320
Speaker 3: Thanks