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

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

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Speaker 2: are going to talk about some DNA evidence relating to

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Speaker 2: some of the most high profile murder cases. People seriously

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Speaker 2: injured or killed by animals on vacation, another plane crash

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Speaker 2: believe it or not, another sounding injury, believe it or not,

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Speaker 2: and more So let's get started with the celebrity news

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Speaker 2: of today.

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Speaker 1: All right, So, first we have this story about this

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Speaker 1: model from New York so back in twenty twenty, her

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Speaker 1: name is Leah. She was working with the hair care

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Speaker 1: company con Air for a convention. So she claimed it

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Speaker 1: the convention that one of the stylists negligently applied this

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Speaker 1: bleaching product or her hair didn't remove it in time,

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Speaker 1: and it left her disfigured. Yeah, Unfortunately, this happens from

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Speaker 1: time to time. I've had a couple of my followers

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Speaker 1: actually send me cases of them getting burned when they

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Speaker 1: were getting their hair bleached. And one of the biggest

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Speaker 1: things that should stick out to a stylist if this

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Speaker 1: is happening, is that when you get your hair bleached,

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Speaker 1: it's not supposed to hurt. So if one of your

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Speaker 1: clients is or you're doing it on yourself and you're

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Speaker 1: complaining that it hurts really bad and it's causing redness,

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Speaker 1: you should immediately wash the bleach off and start rinsing

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Speaker 1: it a lot, like for twenty minutes straight, and that

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Speaker 1: will cause the chemical to wipe off of the skin

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Speaker 1: and cause. It doesn't mean that you're not going to

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Speaker 1: get any damage, but you definitely can reduce the risk

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Speaker 1: of getting a serious burn like in this case. Now,

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Speaker 1: I don't know exactly what happened in this case, but

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Speaker 1: I'm going to tell you what happened in a similar

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Speaker 1: case to one that one of my followers had sent

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Speaker 1: me over five years ago at this point. And the

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Speaker 1: title of that post in the grosser room for the

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Speaker 1: listening is called butt heead, and you'll know what the

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Speaker 1: reason for that is. So, the woman had went to

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Speaker 1: the salon to get her hair bleached to get her

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Speaker 1: entire head lightened, and the stylist had accidentally grabbed a

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Speaker 1: bleach that is typically not used directly on the scalp.

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Speaker 1: This is one that you would see when a stylist

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Speaker 1: is using foils to put highlights in someone's hair, they'll

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Speaker 1: use a stronger bleach. And what happened was that this

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Speaker 1: particular stylist used the one that was for off of

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Speaker 1: the scalp on the scalp, and it caused this girl

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Speaker 1: to have severe burns on her head. And she didn't

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Speaker 1: really I mean, the stylist just told her, Okay, this

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Speaker 1: is kind of normal to have burning, which they say

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Speaker 1: it's not supposed to be. But every time I've had

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Speaker 1: bleach put on my head, it's burned too. Yeah. I

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Speaker 1: was just gonna say every time, because you know, we

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Speaker 1: dyed our hair, yes, a fair amount of times, so

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Speaker 1: definitely every time we've done it before, it is it

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Speaker 1: has burned a little bit. But I mean, I guess

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Speaker 1: not to this capacity clearly now.

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Speaker 2: So the so the woman that I wrote about in

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Speaker 2: post called butt Heead, she was saying her head hurt

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Speaker 2: so bad, and she finally said, Mom, can you look

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Speaker 2: at the back of my head? And her mom was

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Speaker 2: horrified at what she saw. And when you see the

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Speaker 2: photographs that go along with this case, you will one

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Speaker 2: hundred percent realize why her mom freaked out and was like,

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Speaker 2: we need to go to the emergency room right now

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Speaker 2: and get this taken care of. So the woman actually

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Speaker 2: got referred to a plastic surgeon and she had to

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Speaker 2: get skin grafts because she had such a severe chemical burn. Oh,

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Speaker 2: another part I left out of the story was that

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Speaker 2: when this woman put this off the scalp bleach on

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Speaker 2: her hair by accident, she also put her under the

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Speaker 2: dryer to help accelerate it. And it was so it

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Speaker 2: was a combination of a chemical burn and a thermal

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Speaker 2: burn as well. So she had to get a full

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Speaker 2: thickness skin graft, which is outrageous on her head. So now,

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Speaker 2: so they had to take skin from her butt and

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Speaker 2: put it on her head because it was such a

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Speaker 2: large piece of skin that had to be removed. That's

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Speaker 2: why I labeled the post butt head in case you

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Speaker 2: were wondering.

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Speaker 1: So in this case, you know, when you're explaining this,

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Speaker 1: I'm just thinking about situations you or I have been

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Speaker 1: in where you're getting your head bleached and it.

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Speaker 2: Has that slight burning.

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Speaker 1: But then when you see photos of what happened to

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Speaker 1: this woman, it's absolutely atrocious. She's completely as the article

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Speaker 1: put it, bloody and mangled. It's really graphic pictures. She

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Speaker 1: said her hair can't grow back in that spot you

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Speaker 1: could see that it's a permanent scar. Yes, it's terrible looking.

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Speaker 1: So I guess I'm she said she has this heart

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Speaker 1: shaped bald spot, so I'm wondering if they were trying

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Speaker 1: to do some like heart shaped bleach design in her

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Speaker 1: hair that just went horribly wrong. It's absolutely horrible. But

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Speaker 1: she first filed a complaint in twenty twenty two, but

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Speaker 1: they pushed back immediately saying she was in breach of

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Speaker 1: contract because I guess when you sign up to do

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Speaker 1: these type of events with them, in your agreement, you

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Speaker 1: say that they're not responsible for any injuries you might

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Speaker 1: get in the process.

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Speaker 2: I could see if she had an allergy to a

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Speaker 2: hair product, I could see them not wanting to take

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Speaker 2: responsibility for that. But if they could figure out that

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Speaker 2: the wrong product was used or for the wrong amount

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Speaker 2: of time, or for example, they put her under the

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Speaker 2: heater when they weren't supposed to, like in the case

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Speaker 2: that I was just talking about, then there's definitely negligence. Yeah,

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Speaker 2: don't you agree?

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Speaker 1: No, I definitely think so, when I think the court

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Speaker 1: probably agrees too, because if it was as simple as

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Speaker 1: breach of contract, they don't think this would be getting

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Speaker 1: pushed very far. But now it's going to be going

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Speaker 1: to trial unless they settle beforehand, So.

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Speaker 2: She's permanently deformed. Listen, when you're a regular person like

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Speaker 2: you or I, and we just don't we go to

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Speaker 2: the store and buy it, we don't really understand the

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Speaker 2: full extent of it. You're going she was a model, right, Yeah,

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Speaker 2: she went as a model to go get her hair done.

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Speaker 2: I actually did this once. There was this hair World

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Speaker 2: thing back in the nineties that I went to and

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Speaker 2: they dyed my hair and cut my hair. I think

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Speaker 2: I certainly, I certainly didn't expect that I was going

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Speaker 2: to get the third or Greek chemical burns on my head.

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Speaker 2: Like that's just not even what people are thinking when

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Speaker 2: they're getting their hair done. So I don't know, but

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Speaker 2: I mean, if she signed a contract, then I don't

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Speaker 2: know if she would be responsible for it or not.

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Speaker 2: It's just it's it's scary because we do go to

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Speaker 2: salons all the time and they use some hardcore chemicals

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Speaker 2: on us. I mean this the bleach that they use

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Speaker 2: actually opens up your hair shaft shaft right, and it

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Speaker 2: allows hydrogen peroxide to react with the melanin in your

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Speaker 2: hair tone so it doesn't look as dark as it

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Speaker 2: normally is. Now you have to think, like if someone

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Speaker 2: like you or I walks in there and this this

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Speaker 2: woman is she's Asian, right, so she has darker natural hair.

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Speaker 2: It just takes a lot longer and the product needs

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Speaker 2: to be on a lot longer in order to lighten

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Speaker 2: the hair. That's just the way it is, and that

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Speaker 2: is if she has virgin hair, because especially a person

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Speaker 2: that colors their hair and then tries to bleach it,

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Speaker 2: it takes even a stronger product and a longer time

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Speaker 2: to get that color out sometimes. So I'm not sure

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Speaker 2: where this is going to go, but I definitely think

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Speaker 2: a lawsuit is in order in this case.

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Speaker 1: I would assume the court agrees with her, because I

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Speaker 1: can't see a world in which you could just sign

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Speaker 1: a piece of paper that waves somebody of all possible

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Speaker 1: liability when it comes down to using chemical products like this.

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Speaker 1: It just doesn't even seem realistic that that's a thing

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Speaker 1: that they could uphold. So definitely they're letting it go through,

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Speaker 1: which and I'm interested to see if they're gonna just

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Speaker 1: settle so they don't have to go through the whole trial.

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Speaker 1: Or if she's going to do it, because I feel

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Speaker 1: like the Jerry's definitely going to be on her side.

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Speaker 2: You know, it's crazy. The woman that I was talking

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Speaker 2: about in the post labeled butt head that I did

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Speaker 2: a few years back, she actually didn't sue the salon

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Speaker 2: because apparently the woman that was doing her hair she

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Speaker 2: said she was a single mom and she didn't make

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Speaker 2: that much money and she just didn't want to do

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Speaker 2: that to her, which I thought was kind of cool.

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Speaker 2: But when you're in a situation, I mean, and this

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Speaker 2: girl had to have skin grasps for crisis, Like when

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Speaker 2: you're in a situation like this where you're being used

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Speaker 2: as a model and and some huge company is responsible.

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Speaker 2: I don't know, It's just it's kind of tacky that

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Speaker 2: they're even fighting it when you look at the pictures

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Speaker 2: of this poor girl's head.

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Speaker 1: Well yeah, and I think that's why she keeps pushing

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Speaker 1: forward too, because like, you know, you want to tell

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Speaker 1: them what happened, and then most of these companies are

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Speaker 1: just total dicks about it, and you're like, you know what,

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Speaker 1: I am going to take the time to fully go after.

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Speaker 2: Yeah, exactly right, Yeah, just at least like send me

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Speaker 2: some money for all my hospital bills.

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Speaker 1: But I mean, like, don't use this product again because

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Speaker 1: there's clearly a problem, or like, do more research into

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Speaker 1: who you're hiring to do the process.

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Speaker 2: I don't know. It's just it's it is. It is scary,

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Speaker 2: but I think about especially it's not even from a

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Speaker 2: woman's perspective, because men might actually be more crazy about

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Speaker 2: their hair women are, honestly, like, I'm starting to think

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Speaker 2: that just the more and more dudes that I talked to.

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Speaker 2: But for you, you have to get some kind of extension.

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Speaker 2: I don't even know how you cover a spot like

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Speaker 2: that on your head. I know they have all these

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Speaker 2: different kinds of hair products and partial falls and all

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Speaker 2: these sorts of things that they could put on to cover,

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Speaker 2: but it's going to be a hassle for the rest

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Speaker 2: of this woman's life, you know what I mean? Yeah,

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Speaker 2: of course, Okay, freak accidents.

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Speaker 1: Guys, another plane crash, Like, I'm sorry, but this just

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Speaker 1: can't be all happening in the last couple of weeks.

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Speaker 1: It's just it's very bizarre. And I know we were

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Speaker 1: talking to Lauren last night about how there's always aviation

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Speaker 1: accidents and they're definitely heightened right now with the media

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Speaker 1: reporting them.

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Speaker 2: But this isn't you know.

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Speaker 1: We talked I talked a little bit last week about

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Speaker 1: how like two planes clipped wings. I think that happens

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Speaker 1: pretty often actually, but these type of things, you know,

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Speaker 1: with the commercial airliner, in the helicopter situation, the accident

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Speaker 1: in Philly, and now in Toronto. This delta flight with

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Speaker 1: eighty people was trying to land on the runway. I

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Speaker 1: don't know what happened, but it seems like their landing

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Speaker 1: gear wasn't coming down, which caused them to land on

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Speaker 1: the belly of the plane and then it flipped over

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Speaker 1: completely and caught on fire.

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Speaker 2: Did you see video I sent you on Instagram today

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Speaker 2: of the people getting out of it? Yes? Yes, terrifying,

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Speaker 2: it really is. I don't know what to say. I

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Speaker 2: think that you might be able to pinpoint it to

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Speaker 2: a certain thing if it was all happening because of

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Speaker 2: the same reason. I just think it's some weird, coincidental thing.

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Speaker 2: Because with the first one in DC that seems to

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Speaker 2: have been now at least preliminarily, they're saying that is

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Speaker 2: that even a word. Preliminary reports are saying that that

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Speaker 2: it had something to do with possibly the radio of

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Speaker 2: the of the helicopter was broken and they weren't getting

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Speaker 2: the message that they should have been getting. So okay,

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Speaker 2: so that's an aircraft error, right, And so that's that one.

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Speaker 2: And then the one that that happened in Philly, of course,

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Speaker 2: the one that happened near us. Did we even find

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Speaker 2: out what happened with that one? Not yet, right, I

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Speaker 2: don't know, But I mean that one, it I'm you

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Speaker 2: have to assume it has something to do with the

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Speaker 2: airplane since it happened right after it took off. I mean,

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Speaker 2: unless the I don't understand what else could have happened,

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Speaker 2: you know what. That's stupid to say, because the pilot

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Speaker 2: could have had a heart attack. I guess I don't.

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Speaker 2: I don't really know what would have happened in that case. Well,

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Speaker 2: you just don't know, and but you can't pinpoint it

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Speaker 2: to It's not like, okay, there was a problem with

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Speaker 2: air traffic controllers in all four cases. There's clearly an

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Speaker 2: issue here this one. I'm sorry, this Toronto one. When

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Speaker 2: I look at when I looked at the original video

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Speaker 2: of the plane upside down and them having people exit

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Speaker 2: the plane, I'm looking at the runway, and I'm just like,

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Speaker 2: I wouldn't even want to drive on that street. I

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Speaker 2: don't know what the rules are with airplanes, but when

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Speaker 2: it's a sheet of ice on the runway, I feel

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Speaker 2: like that's probably not a good idea.

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Speaker 1: Yeah, the runway is like completely covered in snow when

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Speaker 1: this video comes out and they are saying that the

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Speaker 1: runway was dry at the time the plane landed, and

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Speaker 1: it was actively snowing when this happened. But I agree

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Speaker 1: with you, it's certainly not a road you would want

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Speaker 1: to even drive a car on, let a.

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Speaker 2: Little land the way it was dry, it looks like

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Speaker 2: it's got two inches of snow on it. It looks

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Speaker 2: like that snow that like sticks over top of the

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Speaker 2: ice kind of thing. I don't know, just that was

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Speaker 2: my first impression, thinking, God, they just landed a plane

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Speaker 2: in this weather. It's all gray outside and hazy and

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Speaker 2: but but I guess I don't know. In Canada and stuff,

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Speaker 2: where it's like that all the time, maybe they do that.

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Speaker 2: But I mean, and that one technically isn't even on

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Speaker 2: American territory, correct, I mean, they that would be responsibility

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Speaker 2: of Canada at this point. So I think it's just

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Speaker 2: it's just a coincidental thing. Maybe I don't I don't know,

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Speaker 2: I don't well level of expertise. I just know that

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Speaker 2: the worst part of the whole thing, honestly, is that

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Speaker 2: as of this recording that I went to the AP

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Speaker 2: and it said that eighty people on board survived and

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Speaker 2: there was minor injuries those who got injured. And then

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Speaker 2: I read that there were nineteen people injured and three

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Speaker 2: were in critical condition, which I wouldn't consider that to

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Speaker 2: be minor. So I'm not really sure what the injuries are,

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Speaker 2: but everybody's reporting something different.

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Speaker 1: Well, I'm gonna go with a couple of people have

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Speaker 1: critical injuries because I've heard that on multiple legitimate news outlets,

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Speaker 1: So I would say that's more likely what happened. And

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Speaker 1: I don't see how some people would not. I mean

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Speaker 1: most you want to say most people were buckled in,

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Speaker 1: so they were protected in some capacity by that, But

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Speaker 1: you always know somebody on a plane that tries to

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Speaker 1: hide that they're not buckled, and then when things like

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Speaker 1: this happen, you go flying around because you're not in

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Speaker 1: your seat belt like you should be. They that is

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Speaker 1: totally that's totally possible.

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Speaker 2: Because there's been many times recently when I'm flying because

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Speaker 2: I feel like people try to get these new tricks

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Speaker 2: so they could get ahead, and it's it's like as

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Speaker 2: soon as the plane's landing, they're like up and ready

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Speaker 2: to go, so they could just jump ahead of everyone

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Speaker 2: once they start getting up and everything. But I don't know,

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Speaker 2: I'd be scared to get yelled at by one of

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Speaker 2: the planes to flight attendants, you know what I mean.

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Speaker 2: But I don't know. Listen like that plane being upside

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Speaker 2: down and then think about this, like being in your

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Speaker 2: seat belt and hung upside down, because that's what happened, right,

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Speaker 2: and then you had to unbuckle your seat belt and

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Speaker 2: somehow get down off of that, especially if you're a

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Speaker 2: family and you were with your kids. I mean, that's

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Speaker 2: just this is why whenever we take a plane, I

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Speaker 2: want us all to be together, because last time we

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Speaker 2: got on, it was like me and Gabe or me

295
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Speaker 2: and the kids were together on one side. But then

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Speaker 2: Gabe had to get a seat that was like three

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Speaker 2: aisles up because it was it was the only thing

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Speaker 2: that we could get. And the I sitting next to

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Speaker 2: us was just so sweet and he was like, no,

300
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Speaker 2: your husband could come sit next to you. I'll go

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Speaker 2: up there. That was so cool. But in cases like this,

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Speaker 2: like what if something like that happened and Gabe was

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Speaker 2: all the way away from us, I would be freaking out,

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Speaker 2: you know, Well, yeah, of course, And I've thought of

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Speaker 2: the couple.

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Speaker 1: There's only been one or two times where there's been

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Speaker 1: like really bad turbulence or we were landing or something

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Speaker 1: where I was like, I am going to pee myself,

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Speaker 1: like I cannot wait another second. And I remember, in particular,

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Speaker 1: on our flight to Denver last year, in the middle

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Speaker 1: of the flight, I had been trying to go to

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Speaker 1: the bathroom the whole time and I just couldn't do it.

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Speaker 1: And there were really bad turbulence on the plane the

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Speaker 1: entire time, so they were like, you can't get up,

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Speaker 1: and I was like, all right, it's like two and

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Speaker 1: a half hours and I'm going to pee my pants,

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Speaker 1: like I have to go right now. And the flight

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Speaker 1: attendants like, you need to sit down because if you

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Speaker 1: hit your head, we're not responsible.

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Speaker 2: That's when you pay right on her foot, that's all

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Speaker 2: you do in that situation.

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Speaker 1: That's what happened when that guy ended up peeing on

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Speaker 1: that other guy, probably because they were just like sit

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Speaker 1: down and I'm like, well, do you want me to

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Speaker 1: pee in the sea and like have that be a thing?

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Speaker 1: Or I don't know what to tell you, Like I

327
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Speaker 1: have to go and if I get hurt or something happens,

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Speaker 1: it's my fault.

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Speaker 2: I'll accept that. But it's really like when you have

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Speaker 2: to pee like that. It sounds so silly, but it is.

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Speaker 2: It's really one of the most satisfying feelings in life

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Speaker 2: when you could sit down and let it out. You're

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Speaker 2: just it's it's just like this. That's why I told you,

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Speaker 2: like natural birth kind of felt like like once it

335
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Speaker 2: was done, it was just like this euphoria comes over

336
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Speaker 2: you of like I just got that out. It's the

337
00:16:34,120 --> 00:16:37,280
Speaker 2: same as that kind of a feeling. But yeah, like

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Speaker 2: I'm telling you you can't go to the bathroom like peep.

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Speaker 2: It's it's not like little kids that are just getting

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Speaker 2: up to like go wash their hands and see what

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Speaker 2: the bathroom looks like. You know those people are.

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Speaker 1: But then you don't have that typical euphoria because I'm

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Speaker 1: in there and then the plane's shaking so bad and

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Speaker 1: I'm like, oh my god, this thing's gonna plummet to

345
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Speaker 1: the ground and I'm in this.

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Speaker 2: Bathroom, like, well, what's the difference where you are at

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Speaker 2: that point.

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Speaker 1: Because I'd like to view with my husband if something

349
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Speaker 1: like that happened instead of stuck in the bathroom.

350
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Speaker 2: I feel I feel like all of these plain incidents

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Speaker 2: that have happened over the past couple of months, there

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Speaker 2: has to be some people that, especially this one, that

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Speaker 2: they all survived, you know, I just would love to

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Speaker 2: talk to somebody that went through something like this. Remember

355
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Speaker 2: the flight that was a couple, It was probably a

356
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Speaker 2: year ago at this point when the door flew off

357
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Speaker 2: during the flight.

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Speaker 1: I think that's what started kicking off all of this

359
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Speaker 1: really last year because around that time, all those Boeing

360
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Speaker 1: employees were coming forward talking about all the issues they

361
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Speaker 1: were having, and then at that time, all those Boeing

362
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Speaker 1: flights were having insane problems like the door blowing off

363
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Speaker 1: and people's shirts getting sucked out, and like what else

364
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Speaker 1: happened around I mean, we have.

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Speaker 2: We really love to talk to somebody that because all

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Speaker 2: of us lie at some point, most of us except

367
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Speaker 2: my dad, right, I think I think that everyone could

368
00:18:06,720 --> 00:18:10,119
Speaker 2: relate to a little bit of fear of just being

369
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Speaker 2: in that kind of a situation where you really have

370
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Speaker 2: absolutely no control and just thinking about people how you

371
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Speaker 2: feel afterwards after going through something that traumatic, And also

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Speaker 2: you would feel kind of lucky because I think in general,

373
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Speaker 2: when planes crashed, most people die. So just surviving something

374
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Speaker 2: like that is is awesome to you should feel blessed

375
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Speaker 2: in one sense, but on the other sense, like I

376
00:18:35,160 --> 00:18:37,359
Speaker 2: wonder if these people actually ever want to go on

377
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Speaker 2: a plane again.

378
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Speaker 1: Well, I think Travis Barker survived a plane crash.

379
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Speaker 2: Oh yeah, he had. Was he on like a was

380
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Speaker 2: it a helicopter or it was?

381
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Speaker 1: I think it was like a private a small private plane,

382
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Speaker 1: but he survived it. I don't really know the details

383
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Speaker 1: of the rest of it.

384
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Speaker 2: I forgot about that. Now that happened, he wouldn't.

385
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Speaker 1: Get on a plane for a long time, and now

386
00:18:58,359 --> 00:19:01,280
Speaker 1: he's married to a Kardashian who constantly needs to be

387
00:19:01,320 --> 00:19:04,760
Speaker 1: going to Europe, and then he has now gone on

388
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Speaker 1: a plane since so I thought, because you can't like

389
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Speaker 1: really take a boat overseas like that.

390
00:19:10,560 --> 00:19:13,320
Speaker 2: Why doesn't she have to be constantly going to Europe? Like,

391
00:19:13,359 --> 00:19:16,000
Speaker 2: couldn't she just stay at home? And she got married

392
00:19:16,040 --> 00:19:20,760
Speaker 2: in Italy? Whatever, all right, let's talk about So these

393
00:19:20,840 --> 00:19:25,520
Speaker 2: next two cases have to do with animal attacks on vacation,

394
00:19:25,680 --> 00:19:27,200
Speaker 2: which is also terrifying.

395
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Speaker 1: Yeah, this fifty five year old woman and her husband

396
00:19:30,040 --> 00:19:33,040
Speaker 1: were on vacation in Turks and Caicos. So around ten

397
00:19:33,160 --> 00:19:35,400
Speaker 1: thirty in the morning one day, they're just swimming at

398
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Speaker 1: the beach. They said, they were only a few yards

399
00:19:37,520 --> 00:19:40,440
Speaker 1: into the water, and I guess the shark.

400
00:19:40,320 --> 00:19:43,159
Speaker 2: Comes upon them. And so this.

401
00:19:43,119 --> 00:19:45,800
Speaker 1: Woman instead of you know, typically when you would think

402
00:19:45,840 --> 00:19:47,960
Speaker 1: you would see a shark, you would be like, oh shit,

403
00:19:48,200 --> 00:19:50,560
Speaker 1: like trying to get away as fast as possible, but

404
00:19:50,680 --> 00:19:53,280
Speaker 1: instead she was trying to engage with it to take

405
00:19:53,320 --> 00:19:56,240
Speaker 1: photos of it. Of course, it's a shark, So how

406
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Speaker 1: do you think that went? It bit her hands off.

407
00:19:59,080 --> 00:20:02,280
Speaker 2: So I rode a couple different articles about this because

408
00:20:02,320 --> 00:20:04,280
Speaker 2: I was just trying to get information to see if

409
00:20:04,320 --> 00:20:06,439
Speaker 2: they knew what kind of a shark it was. And

410
00:20:06,520 --> 00:20:09,359
Speaker 2: there are some witnesses there that are saying that that

411
00:20:09,640 --> 00:20:15,360
Speaker 2: photo story isn't true. Interesting. I mean, I know they

412
00:20:15,400 --> 00:20:18,240
Speaker 2: sell cameras that you could bring into the water, but

413
00:20:18,359 --> 00:20:20,639
Speaker 2: a lot of iPhones you can put underwater today doo,

414
00:20:21,440 --> 00:20:23,359
Speaker 2: like a regular one that doesn't have a special case

415
00:20:23,440 --> 00:20:27,520
Speaker 2: or anything. Yeah, I'm pretty sure, really well knew. I

416
00:20:27,560 --> 00:20:32,280
Speaker 2: didn't know that. I'm pretty sure anyway she was, she

417
00:20:32,440 --> 00:20:34,280
Speaker 2: was in it. So one I found a little bit

418
00:20:34,280 --> 00:20:38,040
Speaker 2: more details. She was in hip deep water, which everybody

419
00:20:38,080 --> 00:20:40,360
Speaker 2: could agree with in Turks and kkos is like that

420
00:20:40,440 --> 00:20:46,040
Speaker 2: really clear, beautiful water, and apparently the shark bumped up

421
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Speaker 2: against her. The witnesses believed that it was a bull shark,

422
00:20:49,960 --> 00:20:52,919
Speaker 2: so like a seven foot shark, a huge shark, and

423
00:20:52,960 --> 00:20:56,760
Speaker 2: it bit her thigh, and then it circled back around

424
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Speaker 2: and she put her hands out to have the shark,

425
00:21:00,080 --> 00:21:02,040
Speaker 2: you know, to try to push the shark away, and

426
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Speaker 2: it bit both of her hands off.

427
00:21:04,880 --> 00:21:07,960
Speaker 1: Well that's a way different story than what other media

428
00:21:07,960 --> 00:21:08,480
Speaker 1: outlets are.

429
00:21:08,680 --> 00:21:11,400
Speaker 2: Oh I know, so I don't, I don't know. But

430
00:21:11,400 --> 00:21:15,240
Speaker 2: but regardless, the shark bit one of her hands at

431
00:21:15,240 --> 00:21:17,480
Speaker 2: the wrist and one at the forearms, so she has

432
00:21:17,520 --> 00:21:20,720
Speaker 2: no hands now at all. Do you think the resort

433
00:21:20,840 --> 00:21:24,000
Speaker 2: put out that story so people weren't scared to go

434
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Speaker 2: on the beach, because that's pretty much the reason you're

435
00:21:26,880 --> 00:21:29,720
Speaker 2: going there, because they have the most beautiful beaches. Put

436
00:21:29,760 --> 00:21:33,600
Speaker 2: out what story that she was that inten engaging with

437
00:21:33,640 --> 00:21:35,879
Speaker 2: it and that's why it attacked her. So it didn't

438
00:21:35,920 --> 00:21:39,960
Speaker 2: look bad on the resort, even though it's an accident. Well,

439
00:21:40,240 --> 00:21:42,760
Speaker 2: is it an accident you're in the shark's home. No,

440
00:21:42,960 --> 00:21:46,520
Speaker 2: it's it's not. It's this is well, we're going to

441
00:21:46,600 --> 00:21:49,000
Speaker 2: talk about the same exact thing in the next story.

442
00:21:49,080 --> 00:21:53,440
Speaker 2: But it's just whenever you go, it's like you hear

443
00:21:53,520 --> 00:21:56,199
Speaker 2: people are going in the ocean and they're doing this,

444
00:21:56,320 --> 00:21:58,520
Speaker 2: and they're doing that. They went diving. I remember there

445
00:21:58,560 --> 00:22:00,360
Speaker 2: was one woman that was like diving off a boat

446
00:22:00,480 --> 00:22:03,480
Speaker 2: years ago and there was a shark attack. And you think,

447
00:22:03,480 --> 00:22:05,119
Speaker 2: if you're in the middle of the ocean and you're

448
00:22:05,200 --> 00:22:07,760
Speaker 2: jumping into the water, like, why wouldn't you just expect

449
00:22:07,760 --> 00:22:10,320
Speaker 2: there to be a shark there? They're not going to

450
00:22:10,359 --> 00:22:14,879
Speaker 2: attack humans. But but maybe there was a real you

451
00:22:14,960 --> 00:22:17,880
Speaker 2: know what I mean. They're an animal, they're just being animals.

452
00:22:17,880 --> 00:22:22,800
Speaker 2: They're not trying to hurt people. And maybe maybe it

453
00:22:22,920 --> 00:22:25,639
Speaker 2: was provoked. I mean, you're saying it was provoked. How

454
00:22:25,680 --> 00:22:27,440
Speaker 2: would the shark know if you were trying to take

455
00:22:27,440 --> 00:22:29,439
Speaker 2: a picture of it, and would it get mad and

456
00:22:29,480 --> 00:22:31,200
Speaker 2: say like I'm going to bite that camera out of

457
00:22:31,240 --> 00:22:34,440
Speaker 2: your hand, Like they're freaking they have a small brain.

458
00:22:34,520 --> 00:22:37,520
Speaker 2: They don't think like that. Well, I guess this is.

459
00:22:37,520 --> 00:22:40,760
Speaker 1: My problem with these animal attack stories we talk about

460
00:22:40,800 --> 00:22:44,720
Speaker 1: so often, is that you know, like, it's not that

461
00:22:44,800 --> 00:22:48,040
Speaker 1: it's not unfortunate that this happens, and it can be

462
00:22:48,119 --> 00:22:50,720
Speaker 1: considered an accident. But I don't like when people are

463
00:22:50,720 --> 00:22:54,000
Speaker 1: treating the shark or the bear or in the next

464
00:22:54,000 --> 00:22:57,760
Speaker 1: siece of hippo like they're a serial killer. That was

465
00:22:57,800 --> 00:23:00,760
Speaker 1: like plotting this plan to kill this person. You're in

466
00:23:00,840 --> 00:23:03,480
Speaker 1: their home. They're an animal. They don't have brains that

467
00:23:03,560 --> 00:23:05,840
Speaker 1: work the same way as us. They're just being an

468
00:23:05,880 --> 00:23:07,360
Speaker 1: animal in their environment.

469
00:23:07,520 --> 00:23:09,680
Speaker 2: I didn't hear anything about it in this case because

470
00:23:09,720 --> 00:23:12,480
Speaker 2: normally we hear that they're using all of this money

471
00:23:12,520 --> 00:23:14,880
Speaker 2: and resource to try to find this beast that did

472
00:23:14,920 --> 00:23:16,760
Speaker 2: this to this woman. It's so ridiculous.

473
00:23:16,800 --> 00:23:19,600
Speaker 1: They did close the beach for two days, so was

474
00:23:19,640 --> 00:23:21,439
Speaker 1: that the plan they were gonna try to look for

475
00:23:21,520 --> 00:23:23,560
Speaker 1: it and kill it, Which that's not fair to the shot.

476
00:23:23,920 --> 00:23:26,680
Speaker 2: It's just the dumbest shit ever, Like you're, okay, you're

477
00:23:26,680 --> 00:23:29,160
Speaker 2: gonna close the beach, Like that doesn't help. The thing's

478
00:23:29,200 --> 00:23:32,320
Speaker 2: still in the ocean. That's attached there, it doesn't. I mean,

479
00:23:32,359 --> 00:23:34,719
Speaker 2: I guess they were hoping it would swim away or something.

480
00:23:34,800 --> 00:23:38,080
Speaker 2: I don't know, but there's there's plenty of millions of

481
00:23:38,119 --> 00:23:40,800
Speaker 2: other ones to come back and take its place. They

482
00:23:41,000 --> 00:23:44,159
Speaker 2: that all, to me is just like a smoke and

483
00:23:44,240 --> 00:23:46,720
Speaker 2: mirror type of thing that the resort's doing to act

484
00:23:46,760 --> 00:23:49,240
Speaker 2: like they're doing something because they just can't do anything

485
00:23:49,280 --> 00:23:54,560
Speaker 2: about it. And it's you're not at a zoo. There's

486
00:23:54,600 --> 00:23:57,600
Speaker 2: no control over what's in the environment. You know. But

487
00:23:58,000 --> 00:23:59,640
Speaker 2: let's argue you where it is zoo.

488
00:24:00,320 --> 00:24:03,360
Speaker 1: The animals are in captivity, not in their natural environment,

489
00:24:03,400 --> 00:24:06,720
Speaker 1: which might make them act out of their normal behavior.

490
00:24:07,080 --> 00:24:10,040
Speaker 1: So like it's still I'm saying it's not correct, But

491
00:24:10,800 --> 00:24:12,400
Speaker 1: what do you expect.

492
00:24:12,400 --> 00:24:16,280
Speaker 2: They are not humans with human like brains. Yeah, but

493
00:24:16,440 --> 00:24:20,040
Speaker 2: do you want from them? I'd get that, like leave

494
00:24:20,119 --> 00:24:23,200
Speaker 2: them in their environment. But I'm just saying, like at

495
00:24:23,240 --> 00:24:26,119
Speaker 2: a zoo. At a zoo, you assume that you're in

496
00:24:26,160 --> 00:24:29,880
Speaker 2: a controlled environment. I guess the beach just because you're

497
00:24:29,880 --> 00:24:34,040
Speaker 2: at some fancy resort, it's not a controlled environment, you know.

498
00:24:34,160 --> 00:24:37,359
Speaker 2: This just whatever, Okay, talk about the next story, because

499
00:24:37,359 --> 00:24:40,320
Speaker 2: that's this is the same exact thing. In another country.

500
00:24:40,440 --> 00:24:41,360
Speaker 2: It's the same as I think.

501
00:24:41,359 --> 00:24:43,760
Speaker 1: So this last year, this couple in their seventies had

502
00:24:43,800 --> 00:24:46,680
Speaker 1: booked a vacation for a ten day safari in Zambia,

503
00:24:46,720 --> 00:24:48,959
Speaker 1: which honestly sounds incredible.

504
00:24:49,640 --> 00:24:53,679
Speaker 2: Yeah it does. But but but like before you would go, like,

505
00:24:53,800 --> 00:24:55,480
Speaker 2: let's say you and I were going on a ten

506
00:24:55,560 --> 00:25:00,600
Speaker 2: day safari, right, yeah, what like what would you do

507
00:25:00,680 --> 00:25:02,919
Speaker 2: ahead of time? Would you find out what animals were

508
00:25:02,960 --> 00:25:05,159
Speaker 2: gonna be there, would you learn about the environment you

509
00:25:05,200 --> 00:25:07,200
Speaker 2: were going in, or would you just go and listen

510
00:25:07,240 --> 00:25:09,239
Speaker 2: to every single thing the tour guy said, and just

511
00:25:09,280 --> 00:25:12,040
Speaker 2: like go there completely ignorant. Well, I do my.

512
00:25:12,080 --> 00:25:15,200
Speaker 1: Own research, so I would say I would look things up,

513
00:25:15,240 --> 00:25:18,040
Speaker 1: but I also see how easily they could have been

514
00:25:18,040 --> 00:25:21,320
Speaker 1: in this situation. So a couple of days in the trip,

515
00:25:21,359 --> 00:25:24,119
Speaker 1: they're on this what they're calling a bushwalk, which is

516
00:25:24,200 --> 00:25:28,160
Speaker 1: too observe hippos, notoriously one of the most dangerous animals

517
00:25:28,160 --> 00:25:31,320
Speaker 1: in the world in a river bank. So you're going

518
00:25:31,400 --> 00:25:35,440
Speaker 1: on this walk to watch hippos in their natural environment.

519
00:25:35,800 --> 00:25:38,119
Speaker 1: And they're saying these tour guides are with them, and

520
00:25:38,160 --> 00:25:40,280
Speaker 1: one of them has a rifle, Like I'm sorry, but

521
00:25:40,359 --> 00:25:41,040
Speaker 1: in my opinion.

522
00:25:41,080 --> 00:25:42,280
Speaker 2: I don't think a simple.

523
00:25:42,040 --> 00:25:46,439
Speaker 1: Rifle is taking out a hippo, right, but whatever, I

524
00:25:46,480 --> 00:25:46,800
Speaker 1: don't know.

525
00:25:46,920 --> 00:25:49,520
Speaker 2: I just why would you even go on a bushwalk?

526
00:25:50,359 --> 00:25:50,479
Speaker 1: If?

527
00:25:50,920 --> 00:25:52,600
Speaker 2: I mean, listen, I think.

528
00:25:52,520 --> 00:25:56,040
Speaker 1: Because the total company is acting like they do it

529
00:25:56,119 --> 00:25:58,760
Speaker 1: all the time and there's never like they're selling out.

530
00:25:58,840 --> 00:26:01,119
Speaker 2: This is this is a hundred percent on the people.

531
00:26:02,240 --> 00:26:04,320
Speaker 2: This is the same as this woman that just got

532
00:26:04,320 --> 00:26:06,040
Speaker 2: her hands bit off by the shark. So in the

533
00:26:06,040 --> 00:26:07,400
Speaker 2: hotel that the beach was at.

534
00:26:07,720 --> 00:26:10,520
Speaker 1: Come on, no, you can't. You definitely can't do that.

535
00:26:11,040 --> 00:26:15,760
Speaker 1: Both parties are are responsible for this because of trying

536
00:26:15,800 --> 00:26:18,199
Speaker 1: to sell it as a safe activity and also in

537
00:26:18,240 --> 00:26:21,720
Speaker 1: your own mind not identifying it as an unsafe activity.

538
00:26:22,160 --> 00:26:27,200
Speaker 2: I don't know, I don't agree both parties are okay anyways,

539
00:26:27,240 --> 00:26:29,639
Speaker 2: So remember listen, remember a couple of years back, they

540
00:26:29,720 --> 00:26:35,680
Speaker 2: used to have tours of that volcano. Yeah, that all

541
00:26:35,720 --> 00:26:38,439
Speaker 2: those people went to and the volcano erupted and they

542
00:26:38,440 --> 00:26:41,840
Speaker 2: all got burned really bad and stuff. Yes, how is

543
00:26:41,880 --> 00:26:45,200
Speaker 2: that the tour company's fault because they're selling it as

544
00:26:45,200 --> 00:26:48,760
Speaker 2: a safe activity, but you're going to a volcano that's active.

545
00:26:49,480 --> 00:26:51,840
Speaker 1: Yeah, but people don't understand how the work. So I'm

546
00:26:51,880 --> 00:26:54,880
Speaker 1: saying like the company should not be selling it as

547
00:26:55,240 --> 00:26:58,800
Speaker 1: a safe activity, and the person booking the tour should

548
00:26:58,840 --> 00:27:01,240
Speaker 1: also be doing affect a research and see what the

549
00:27:01,280 --> 00:27:01,800
Speaker 1: risk closed.

550
00:27:01,880 --> 00:27:04,639
Speaker 2: This statement from the from the guy that went on

551
00:27:04,680 --> 00:27:07,359
Speaker 2: the safari said quote, how do we hold up? We

552
00:27:07,359 --> 00:27:10,440
Speaker 2: didn't even say what happened yet? Okay, say what happened

553
00:27:10,480 --> 00:27:13,320
Speaker 2: for they're on this bushwk. You do this all with time,

554
00:27:14,440 --> 00:27:16,520
Speaker 2: they're on this book. I'm angry.

555
00:27:17,080 --> 00:27:21,679
Speaker 1: They're on this bushwalk and this married couple is walking

556
00:27:21,720 --> 00:27:24,240
Speaker 1: through observing the hippos, and they claim that the tour

557
00:27:24,359 --> 00:27:28,040
Speaker 1: guides left them alone and that the hippo made eye

558
00:27:28,040 --> 00:27:31,000
Speaker 1: contact with the wife and started charging at her and

559
00:27:31,040 --> 00:27:33,159
Speaker 1: then it completely mauled.

560
00:27:32,920 --> 00:27:36,640
Speaker 2: Her and ripped her apart in front of everybody else. Well,

561
00:27:36,680 --> 00:27:39,440
Speaker 2: it crossed her head. Did you ever see them feed

562
00:27:39,560 --> 00:27:43,639
Speaker 2: pumpkins to the hippos at the zoo? Yeah, I've seen that.

563
00:27:43,720 --> 00:27:47,560
Speaker 2: It's yeah, they imagine someone's human head being in between

564
00:27:47,600 --> 00:27:51,400
Speaker 2: those jaws. It's funny because hippos.

565
00:27:51,040 --> 00:27:56,800
Speaker 1: Are yes, But I know, I'm a surprised that they're

566
00:27:56,960 --> 00:28:00,280
Speaker 1: dangerous like this is. This has been a known fact

567
00:28:00,520 --> 00:28:03,320
Speaker 1: for a long time. So if somebody's like do you

568
00:28:03,320 --> 00:28:06,240
Speaker 1: want to go walk amongst hippos? I'd be inclined to

569
00:28:06,280 --> 00:28:08,880
Speaker 1: say no, I would not like to walk amongst hippos

570
00:28:08,920 --> 00:28:10,040
Speaker 1: because they are violent.

571
00:28:10,600 --> 00:28:14,240
Speaker 2: Okay, so this is what this guy is saying, like quote,

572
00:28:14,280 --> 00:28:17,359
Speaker 2: had we understood the dangerous posed by the hippopotamus, we

573
00:28:17,400 --> 00:28:20,280
Speaker 2: would have never agreed to be in such close contact

574
00:28:20,359 --> 00:28:24,760
Speaker 2: like that. That just sounds dumb to me. You're trying

575
00:28:24,800 --> 00:28:27,840
Speaker 2: to get money. I mean, listen, this situation is freaking horrible.

576
00:28:27,920 --> 00:28:32,240
Speaker 2: But like saying that out loud just makes you sound dumb.

577
00:28:32,880 --> 00:28:37,040
Speaker 1: But do you think that the company was I'm just

578
00:28:37,200 --> 00:28:39,480
Speaker 1: trying to think of everything. Do you think that company

579
00:28:39,520 --> 00:28:42,000
Speaker 1: did not let them know they'd be walking amongst animals

580
00:28:42,040 --> 00:28:43,720
Speaker 1: and they just thought they were going to be like

581
00:28:44,440 --> 00:28:47,920
Speaker 1: walking in a designated area that did not have wildlife.

582
00:28:49,560 --> 00:28:51,760
Speaker 1: You're outside, and I'm just.

583
00:28:51,760 --> 00:28:52,200
Speaker 2: Like you.

584
00:28:54,400 --> 00:28:57,400
Speaker 1: Listen, I just think that it said it was a

585
00:28:57,400 --> 00:29:00,520
Speaker 1: bushwalk to have them walk to see Anna in their

586
00:29:00,600 --> 00:29:05,440
Speaker 1: natural habitat. Like I know, I just am trying to

587
00:29:05,760 --> 00:29:09,200
Speaker 1: understand from both perspectives, Like when I am going to

588
00:29:09,280 --> 00:29:13,160
Speaker 1: go book a trip somewhere and there's all these activities listed,

589
00:29:13,520 --> 00:29:17,320
Speaker 1: like it is my responsibility to research those things, But

590
00:29:17,440 --> 00:29:19,760
Speaker 1: I also think there's a world in which that company

591
00:29:19,760 --> 00:29:22,440
Speaker 1: should not just be able to say it's one hundred

592
00:29:22,480 --> 00:29:23,479
Speaker 1: percent safe.

593
00:29:25,400 --> 00:29:28,440
Speaker 2: I'm not sure that that was anywhere. They probably signed

594
00:29:28,520 --> 00:29:32,280
Speaker 2: a bunch of waivers and shit too, honestly, and whatever.

595
00:29:32,480 --> 00:29:35,600
Speaker 2: Like Listen, when you go on vacation like this and

596
00:29:35,640 --> 00:29:39,120
Speaker 2: do something like this, you don't expect you don't expect

597
00:29:39,160 --> 00:29:41,600
Speaker 2: anything like this to happen. And it's terrible that her

598
00:29:41,680 --> 00:29:45,480
Speaker 2: husband had to sit there and witness that. But when

599
00:29:45,520 --> 00:29:48,680
Speaker 2: you're on a tour guide with a person that's carrying

600
00:29:48,760 --> 00:29:54,560
Speaker 2: around a weapon that's not for people to protect you,

601
00:29:54,560 --> 00:29:57,720
Speaker 2: you have to assume that there's something that could hurt

602
00:29:57,720 --> 00:30:00,880
Speaker 2: you really bad. That's why this person's carrying a rifle around.

603
00:30:01,240 --> 00:30:05,160
Speaker 2: And also it's kind of fucked up to go watch

604
00:30:05,280 --> 00:30:08,080
Speaker 2: hippos in their environments, so a bunch of people could

605
00:30:08,080 --> 00:30:10,200
Speaker 2: go look at it, and then if it starts attacking

606
00:30:10,240 --> 00:30:13,480
Speaker 2: someone to kill it. It's just Sen's what I was

607
00:30:13,480 --> 00:30:16,440
Speaker 2: talking about earlier. It's just like it's kind of messed up,

608
00:30:16,640 --> 00:30:19,280
Speaker 2: Like what this whole thing is just kind of dumb.

609
00:30:19,440 --> 00:30:23,520
Speaker 1: You're in the hippos home, it doesn't it doesn't even

610
00:30:23,600 --> 00:30:26,240
Speaker 1: know that you're a person. It just sees that your food,

611
00:30:27,080 --> 00:30:29,480
Speaker 1: So why does it have to die for just going

612
00:30:29,520 --> 00:30:30,840
Speaker 1: about its normal? But I don't know.

613
00:30:30,920 --> 00:30:33,760
Speaker 2: I'm not even this like animal rights person. I don't

614
00:30:33,840 --> 00:30:37,080
Speaker 2: like animals at all. I don't really like them either,

615
00:30:37,160 --> 00:30:39,640
Speaker 2: like I like my cat. I'm not a huge animal person.

616
00:30:39,640 --> 00:30:42,320
Speaker 2: But I just also think that it's just kind of dumb.

617
00:30:42,400 --> 00:30:44,560
Speaker 1: But what's right is right and what's wrong is wrong.

618
00:30:44,640 --> 00:30:46,600
Speaker 1: You should not kill the animal when you're in their

619
00:30:46,680 --> 00:30:48,880
Speaker 1: home and they go after you because they don't have

620
00:30:49,360 --> 00:30:52,720
Speaker 1: a human brain to identify. There's a difference. Stop comparing

621
00:30:52,760 --> 00:30:56,480
Speaker 1: them to like Jeffrey Dahmer. They're not the same thing.

622
00:30:56,600 --> 00:31:07,479
Speaker 1: It is ridiculous. This episode is brought to you by

623
00:31:07,520 --> 00:31:08,360
Speaker 1: the Gross Room.

624
00:31:08,880 --> 00:31:10,800
Speaker 2: Guys. We have a lot of great things going on

625
00:31:10,840 --> 00:31:13,360
Speaker 2: in the gross Room this week. One example that makes

626
00:31:13,360 --> 00:31:15,880
Speaker 2: the Grosser Room a little bit better than just following

627
00:31:15,920 --> 00:31:20,760
Speaker 2: my Instagram account is for example, this week's mystery diagnosis

628
00:31:20,960 --> 00:31:23,760
Speaker 2: was a woman, a young woman who was poisoned by

629
00:31:23,800 --> 00:31:28,040
Speaker 2: her sixty year old boyfriend. And I couldn't really get

630
00:31:28,080 --> 00:31:31,840
Speaker 2: into the details of the case on Instagram because they

631
00:31:31,920 --> 00:31:35,040
Speaker 2: censor the shit out of me, honestly, So I was

632
00:31:35,080 --> 00:31:37,800
Speaker 2: able to write a lot more details in the Gross

633
00:31:37,840 --> 00:31:40,480
Speaker 2: Room along which show a little bit more graphic pictures

634
00:31:40,480 --> 00:31:44,240
Speaker 2: that I wouldn't normally be able to share on Instagram.

635
00:31:44,760 --> 00:31:47,560
Speaker 2: Plus we have awesome posts like the butt head one

636
00:31:47,600 --> 00:31:49,880
Speaker 2: I was talking about earlier with the girl that had

637
00:31:49,960 --> 00:31:54,480
Speaker 2: to get skin grafts because she had such severe chemical

638
00:31:54,520 --> 00:31:59,320
Speaker 2: burns from having her hair bleached. And this week we

639
00:31:59,400 --> 00:32:03,680
Speaker 2: did our our high Profile Slash Celebrity death dissection all

640
00:32:03,720 --> 00:32:07,120
Speaker 2: about the different cases we've covered over the years involving

641
00:32:07,560 --> 00:32:13,240
Speaker 2: presidents and politics and politicians. So that was that's really interesting.

642
00:32:13,480 --> 00:32:15,400
Speaker 2: And one thing that I thought was really cool about

643
00:32:15,480 --> 00:32:18,400
Speaker 2: that case is that all of the people that I

644
00:32:18,520 --> 00:32:21,560
Speaker 2: listed that we've covered that have died that have been

645
00:32:21,680 --> 00:32:26,920
Speaker 2: related to their death was somehow surrounded around the politician.

646
00:32:27,360 --> 00:32:31,800
Speaker 2: They all involved the Kennedy family, which I did, which

647
00:32:31,840 --> 00:32:36,000
Speaker 2: is so interesting. But the George Washington one's really cool,

648
00:32:36,160 --> 00:32:40,480
Speaker 2: and we talk about how blood letting possibly led to

649
00:32:40,520 --> 00:32:42,360
Speaker 2: his death. So we're going to talk a little bit

650
00:32:42,440 --> 00:32:45,560
Speaker 2: about blood letting actually in the next story. But yeah,

651
00:32:45,560 --> 00:32:48,360
Speaker 2: the Gross Room's awesome, so check it out. Yeah, head

652
00:32:48,360 --> 00:32:50,600
Speaker 2: over to the grossroom dot com for more info and

653
00:32:50,640 --> 00:32:56,800
Speaker 2: to sign up. Okay, let's get into true crime in

654
00:32:56,840 --> 00:32:58,440
Speaker 2: this blood letting situation.

655
00:32:59,080 --> 00:33:01,520
Speaker 1: All right, we have two d stories for you guys,

656
00:33:01,560 --> 00:33:04,760
Speaker 1: which is extremely exciting for me. So first we're going

657
00:33:04,800 --> 00:33:06,840
Speaker 1: to talk about Jack the Ripper. He is one of

658
00:33:06,880 --> 00:33:09,840
Speaker 1: the oldest and most famous serial killers that we talk

659
00:33:09,920 --> 00:33:12,720
Speaker 1: about in our time. So in eighteen eighty eight, this

660
00:33:12,840 --> 00:33:16,400
Speaker 1: unidentified man had gone around London and killed five women.

661
00:33:17,120 --> 00:33:19,719
Speaker 1: Newspapers because they didn't know his identity, referred to him

662
00:33:19,720 --> 00:33:22,560
Speaker 1: as Jack the Ripper, and for all this time it's

663
00:33:22,600 --> 00:33:25,880
Speaker 1: been this great speculation who was this man. Well, now

664
00:33:26,160 --> 00:33:28,960
Speaker 1: a researcher in England might have some answers.

665
00:33:29,880 --> 00:33:33,800
Speaker 2: So apparently there was this shawl that was found at

666
00:33:33,800 --> 00:33:37,360
Speaker 2: the time when this one woman, one of his victims

667
00:33:37,560 --> 00:33:41,520
Speaker 2: was murdered, and they did have a suspect at the

668
00:33:41,560 --> 00:33:43,680
Speaker 2: time who was never arrested. I guess they had a

669
00:33:43,680 --> 00:33:47,440
Speaker 2: couple suspects, but nobody's ever formally been charged with the crime.

670
00:33:47,960 --> 00:33:52,680
Speaker 2: The crimes and they did this DNA on this shawl,

671
00:33:53,480 --> 00:33:57,000
Speaker 2: and I don't know, I don't know how I feel

672
00:33:57,040 --> 00:34:01,320
Speaker 2: about it, but he's claiming to say that they were researchers,

673
00:34:01,360 --> 00:34:04,640
Speaker 2: claiming the researchers claiming to say that they found DNA

674
00:34:04,800 --> 00:34:08,520
Speaker 2: from this one particular person that was a suspect at

675
00:34:08,520 --> 00:34:14,800
Speaker 2: the time, and what was his name, the suspect Okay,

676
00:34:14,840 --> 00:34:17,880
Speaker 2: So on the shaw they did DNA testing and they

677
00:34:17,880 --> 00:34:19,719
Speaker 2: said that the blood on the shaw was from the

678
00:34:19,800 --> 00:34:22,000
Speaker 2: victim of the shaw. And then they said they were

679
00:34:22,080 --> 00:34:28,560
Speaker 2: Semen DNA that belonged to a guy named Aaron Cousminsky.

680
00:34:28,680 --> 00:34:31,759
Speaker 1: Aaron Cousminsky, Okay, So he was a Polish barber at

681
00:34:31,760 --> 00:34:34,400
Speaker 1: that time. So they're saying that the Semen DNA on

682
00:34:34,440 --> 00:34:37,560
Speaker 1: the shaw matched him, and he had been a suspect.

683
00:34:37,880 --> 00:34:40,359
Speaker 1: And this researcher had claimed in a book he wrote

684
00:34:40,400 --> 00:34:43,840
Speaker 1: ten years ago he believed this guy Aaron was the

685
00:34:43,920 --> 00:34:47,040
Speaker 1: leading suspect and was Jack the Ripper.

686
00:34:47,400 --> 00:34:50,680
Speaker 2: So I think it's personally a stretch to say that

687
00:34:50,840 --> 00:34:54,480
Speaker 2: he is definitely Jack the Ripper just because this guy

688
00:34:54,600 --> 00:34:58,840
Speaker 2: Semen was on her shawl I mean, don't, well.

689
00:34:58,719 --> 00:35:01,280
Speaker 1: Why why else would you just have seen.

690
00:35:01,120 --> 00:35:04,560
Speaker 2: Because because they might have had a relationship, Like, how

691
00:35:04,600 --> 00:35:06,000
Speaker 2: do you how would you even know that?

692
00:35:07,200 --> 00:35:10,720
Speaker 1: Well, I think there's a couple other factors that he

693
00:35:10,719 --> 00:35:13,799
Speaker 1: he Eventually, this guy he was suspected to be Jack

694
00:35:13,840 --> 00:35:15,920
Speaker 1: the Ripper, He was never arrested, but then he had

695
00:35:15,960 --> 00:35:18,319
Speaker 1: schizophrenia and he was put in an asylum.

696
00:35:18,840 --> 00:35:22,960
Speaker 2: They're also saying that in do you know why he

697
00:35:23,080 --> 00:35:27,799
Speaker 2: was initially suspected? I'm just curious, like why they thought

698
00:35:27,840 --> 00:35:29,960
Speaker 2: of him to be a suspect to begin with.

699
00:35:30,239 --> 00:35:33,560
Speaker 1: Well, people that knew him said he had homicidal thoughts

700
00:35:33,560 --> 00:35:37,360
Speaker 1: and he was just acting erradically crazy, acting really crazy

701
00:35:37,400 --> 00:35:40,279
Speaker 1: around that time. I don't know in particular how they

702
00:35:40,320 --> 00:35:43,720
Speaker 1: connected him to these women. I thought, I'm not super

703
00:35:43,760 --> 00:35:47,160
Speaker 1: familiar with this case, but I believed the lore at

704
00:35:47,200 --> 00:35:49,880
Speaker 1: the time was that he was only killing prostitutes. But

705
00:35:50,880 --> 00:35:53,200
Speaker 1: now they're saying that three of the five women had

706
00:35:53,200 --> 00:35:55,759
Speaker 1: no connection to doing any type of sex work. So, like,

707
00:35:55,880 --> 00:35:59,399
Speaker 1: I think that's interesting because that's the story I've always heard,

708
00:35:59,520 --> 00:36:03,040
Speaker 1: is like, oh, he was always killing these prostitutes, but yea, just.

709
00:36:03,000 --> 00:36:06,279
Speaker 2: So were they. So the shawl belonged to a woman

710
00:36:06,400 --> 00:36:11,080
Speaker 2: named Catherine A. Dows. I guess that's how you pronounce

711
00:36:11,120 --> 00:36:14,960
Speaker 2: her name, And everything that I read about her didn't

712
00:36:15,000 --> 00:36:19,120
Speaker 2: seem like she was a prostitute at all. What's interesting

713
00:36:20,000 --> 00:36:23,480
Speaker 2: about these deaths was that they they were killed with

714
00:36:23,560 --> 00:36:29,160
Speaker 2: a sharp object, obviously, and her particular autopsy showed that

715
00:36:29,280 --> 00:36:32,400
Speaker 2: her throat was sliced and that was her cause of

716
00:36:32,440 --> 00:36:35,319
Speaker 2: death was the left common carotids. She bled out from

717
00:36:35,360 --> 00:36:39,360
Speaker 2: that injury. But what was weird is that they did

718
00:36:39,560 --> 00:36:44,279
Speaker 2: the autopsy slightly after she died. They said that her

719
00:36:44,280 --> 00:36:46,759
Speaker 2: body was still warm when they did the autopsy, which

720
00:36:46,800 --> 00:36:51,360
Speaker 2: is I don't like doing autopsies like that. But she

721
00:36:51,480 --> 00:36:55,400
Speaker 2: had these really interesting lots of different trauma to her body,

722
00:36:55,440 --> 00:36:58,799
Speaker 2: but one of the most significant ones was that her

723
00:36:58,960 --> 00:37:04,000
Speaker 2: abdomen was sliced open and she was partially eviscerated, meaning

724
00:37:04,000 --> 00:37:08,359
Speaker 2: that her intestines were taken out of her abdomen, and

725
00:37:08,600 --> 00:37:12,520
Speaker 2: the pathologist that was doing the autopsy thought that it

726
00:37:12,600 --> 00:37:16,080
Speaker 2: was strategically placed over her shoulder and across her arm

727
00:37:16,280 --> 00:37:19,399
Speaker 2: and thought that that was very unusual. And then they

728
00:37:19,440 --> 00:37:23,120
Speaker 2: said that one of her kidneys was missing, and the

729
00:37:23,560 --> 00:37:28,279
Speaker 2: pathologists doing the autopsy came to the conclusion that he

730
00:37:28,400 --> 00:37:30,880
Speaker 2: thought that this person might have had some skill in

731
00:37:30,960 --> 00:37:34,080
Speaker 2: anatomy because of the way that the kidney was removed

732
00:37:34,239 --> 00:37:37,839
Speaker 2: so nicely. But there's other people that are also just

733
00:37:37,920 --> 00:37:42,359
Speaker 2: like this guy didn't have to be a surgeon, like

734
00:37:42,440 --> 00:37:44,880
Speaker 2: you could just have killed an animal in the woods

735
00:37:44,920 --> 00:37:46,080
Speaker 2: and knew how to take it out.

736
00:37:46,440 --> 00:37:49,120
Speaker 1: But an interesting thing though, is he was a barber,

737
00:37:49,160 --> 00:37:54,560
Speaker 1: and at that time, barbers were considered barber surgeons, and

738
00:37:54,640 --> 00:37:56,920
Speaker 1: they had a little more knowledge of anatomy than they

739
00:37:56,920 --> 00:37:59,400
Speaker 1: have now, So I think that's why they found it suspicious.

740
00:37:59,440 --> 00:38:02,640
Speaker 2: So I don't think I don't think that that's right historically.

741
00:38:03,000 --> 00:38:05,680
Speaker 2: I'm not sure, but I there was definitely a thing

742
00:38:05,760 --> 00:38:08,720
Speaker 2: called barber surgeons back in the day. That's why barbers

743
00:38:08,719 --> 00:38:12,000
Speaker 2: still have the poles out front that have to do

744
00:38:12,120 --> 00:38:16,440
Speaker 2: with them doing minor surgical procedures and blood letting and

745
00:38:16,480 --> 00:38:20,400
Speaker 2: everything like that. I think the blue represents cutting the veins,

746
00:38:20,440 --> 00:38:23,319
Speaker 2: the blue veins, and the red represents blood, and the

747
00:38:23,360 --> 00:38:26,840
Speaker 2: white represents the bandages of the barber pole. Right, But

748
00:38:27,520 --> 00:38:30,120
Speaker 2: that was done like a really, really long time ago.

749
00:38:30,480 --> 00:38:33,279
Speaker 2: This woman was killed in eighteen eighty eight, which is

750
00:38:33,360 --> 00:38:35,920
Speaker 2: almost the turn of the century. I think that that

751
00:38:36,840 --> 00:38:41,920
Speaker 2: practice wasn't going on with barber surgeons that late into history.

752
00:38:42,040 --> 00:38:46,000
Speaker 2: Like there was a distinct cut off between surgeons, medical

753
00:38:46,040 --> 00:38:50,080
Speaker 2: doctor surgeons and barbers way before that. So I'm not

754
00:38:50,120 --> 00:38:55,080
Speaker 2: sure that that's historically accurate that there were barbers that

755
00:38:55,120 --> 00:38:58,520
Speaker 2: were doing surgical procedures in the late eighteen hundreds like that.

756
00:38:59,520 --> 00:39:03,799
Speaker 2: Well regardless, and like that guy was was a younger guy,

757
00:39:04,400 --> 00:39:07,440
Speaker 2: so he I mean, unless it was a family business

758
00:39:07,520 --> 00:39:09,759
Speaker 2: or something, I don't know, Like I don't even know that.

759
00:39:09,760 --> 00:39:12,799
Speaker 1: Twenty three back then was basically forty five.

760
00:39:13,040 --> 00:39:15,879
Speaker 2: So no, but I'm saying if he was twenty three

761
00:39:15,960 --> 00:39:19,160
Speaker 2: years old though, it's not like there was a there

762
00:39:19,239 --> 00:39:22,520
Speaker 2: was someone in his family still practicing the barber surgeon

763
00:39:22,560 --> 00:39:24,600
Speaker 2: thing that he grew up looking at and stuff it

764
00:39:24,719 --> 00:39:28,000
Speaker 2: still was. It looks to me from what I've been

765
00:39:28,040 --> 00:39:31,440
Speaker 2: looking up in stuff that it was the mid seventeen

766
00:39:31,560 --> 00:39:34,360
Speaker 2: hundreds when that split occurred, that there was like a

767
00:39:34,600 --> 00:39:39,719
Speaker 2: distinct line between surgeons and medical doctors versus barbers. Now

768
00:39:39,800 --> 00:39:43,000
Speaker 2: I'm not saying that they weren't still doing these procedures,

769
00:39:43,040 --> 00:39:45,800
Speaker 2: but like we were talking about earlier with George Washington,

770
00:39:46,400 --> 00:39:49,759
Speaker 2: there was one of these barber surgeon people involved with

771
00:39:50,200 --> 00:39:53,359
Speaker 2: George Washington, but that was back in seventeen the late

772
00:39:53,440 --> 00:39:58,120
Speaker 2: seventeen hundreds, and that was just experimental stuff. You know,

773
00:39:58,160 --> 00:40:00,520
Speaker 2: they used to do blood letting it because they thought

774
00:40:00,520 --> 00:40:02,520
Speaker 2: that they would be freeing the body of disease and

775
00:40:02,600 --> 00:40:05,960
Speaker 2: things like that. So, and he was the president, so

776
00:40:06,000 --> 00:40:08,399
Speaker 2: he got whatever he wanted to get done to him,

777
00:40:08,440 --> 00:40:11,200
Speaker 2: even though they were advising him against it and all

778
00:40:11,200 --> 00:40:14,719
Speaker 2: this stuff. But this was almost nineteen hundred. I just

779
00:40:14,760 --> 00:40:18,000
Speaker 2: don't think that that was happening. And there is so

780
00:40:18,080 --> 00:40:21,480
Speaker 2: much debate between physicians saying like, Okay, this guy had

781
00:40:21,520 --> 00:40:24,560
Speaker 2: anatomy and knowledge and not like I mean, honestly, if

782
00:40:24,600 --> 00:40:26,160
Speaker 2: you have a body in front of you and you

783
00:40:26,200 --> 00:40:29,920
Speaker 2: cut it open, you could. I don't know why the

784
00:40:30,000 --> 00:40:33,120
Speaker 2: kidney was chosen over anything else, but anybody could cut

785
00:40:33,160 --> 00:40:35,480
Speaker 2: it out if you know how to use a knife.

786
00:40:35,520 --> 00:40:38,360
Speaker 2: You don't need to like in every other case. However,

787
00:40:38,920 --> 00:40:41,799
Speaker 2: it's a circumstantial piece of evidence that could go against him.

788
00:40:41,840 --> 00:40:44,279
Speaker 2: I don't know in particular how he was connected to

789
00:40:44,360 --> 00:40:48,600
Speaker 2: this victim, but it you know, you have multiple factors.

790
00:40:48,600 --> 00:40:50,359
Speaker 2: You have the DNA, you have what he was doing

791
00:40:50,440 --> 00:40:52,439
Speaker 2: around the time, you have that he was mentally ill.

792
00:40:52,880 --> 00:40:56,399
Speaker 2: So this researcher is really convinced that this has been

793
00:40:56,440 --> 00:40:59,799
Speaker 2: the person and had publicized that in twenty fourteen when

794
00:40:59,800 --> 00:41:02,759
Speaker 2: he a book and now has this DNA, which he's

795
00:41:02,800 --> 00:41:05,719
Speaker 2: trying to just basically close the case and be like,

796
00:41:05,760 --> 00:41:10,400
Speaker 2: this guy is Jack ripper, and beyond this, beyond this

797
00:41:10,520 --> 00:41:14,240
Speaker 2: short article, there as much other evidence this guy has

798
00:41:14,280 --> 00:41:16,960
Speaker 2: to suggest this is the person. But for now this

799
00:41:17,120 --> 00:41:21,399
Speaker 2: is his scientific confirmation in his mind. But other people

800
00:41:21,480 --> 00:41:25,360
Speaker 2: are questioning it as well. Yeah, because this DNA, I'm

801
00:41:25,480 --> 00:41:28,600
Speaker 2: questioning it for multiple reasons, Like this DNA evidence hasn't

802
00:41:28,640 --> 00:41:31,840
Speaker 2: been published in a peer review scientific journal. This is

803
00:41:31,960 --> 00:41:35,400
Speaker 2: just this guy's And like, honestly, this happens sometimes if

804
00:41:35,400 --> 00:41:37,759
Speaker 2: a researcher is trying to make something happen, they can

805
00:41:37,840 --> 00:41:41,600
Speaker 2: make it happen, but not to say that they're creating DNA.

806
00:41:41,719 --> 00:41:44,480
Speaker 2: But when I see a picture of this shawl, this

807
00:41:44,600 --> 00:41:47,160
Speaker 2: shaw is almost I'm trying to think of what it

808
00:41:47,200 --> 00:41:51,880
Speaker 2: would be similar to clothing today. Almost it's it's it's

809
00:41:51,960 --> 00:41:54,680
Speaker 2: it's almost like a punch, like a huge poncho thing

810
00:41:54,680 --> 00:41:56,560
Speaker 2: that you would wrap around your body. It's it's the

811
00:41:56,600 --> 00:41:59,640
Speaker 2: size of a blanket almost right. And in the picture

812
00:42:00,080 --> 00:42:03,040
Speaker 2: that the person's holding up this shaw, which by the way,

813
00:42:03,160 --> 00:42:06,080
Speaker 2: has been in existence for now one hundred and thirty

814
00:42:06,120 --> 00:42:09,120
Speaker 2: seven years with DNA on it. Right in the picture

815
00:42:09,160 --> 00:42:11,200
Speaker 2: of the shaw there's a person holding it and they're

816
00:42:11,239 --> 00:42:14,200
Speaker 2: not even holding wearing gloves, So now their DNA is

817
00:42:14,280 --> 00:42:17,239
Speaker 2: on it. That's a major problem. And well, nobody's been

818
00:42:17,280 --> 00:42:19,640
Speaker 2: wearing gloves, So think about all of the people that

819
00:42:19,719 --> 00:42:22,000
Speaker 2: have touched this shaw, that have been obsessed and interested

820
00:42:22,040 --> 00:42:24,240
Speaker 2: with this case over one hundred and thirty seven years,

821
00:42:24,600 --> 00:42:27,440
Speaker 2: not to mention the fact that the DNA can denigrate

822
00:42:27,800 --> 00:42:31,000
Speaker 2: and the DNA that was taken from this was mitochondrial

823
00:42:31,120 --> 00:42:34,520
Speaker 2: DNA and not nuclear DNA, which is a better it's

824
00:42:34,560 --> 00:42:37,560
Speaker 2: better to have a more distinct fit of who the

825
00:42:37,600 --> 00:42:41,880
Speaker 2: person is. So mitochondrial DNA is found in a little

826
00:42:41,880 --> 00:42:45,920
Speaker 2: oregonelle inside of your cells and it makes its own DNA,

827
00:42:46,120 --> 00:42:48,640
Speaker 2: and that's the DNA of your mom, so you have

828
00:42:49,320 --> 00:42:52,399
Speaker 2: So if we looked at Maria's mitochondrial DNA, it would

829
00:42:52,440 --> 00:42:54,080
Speaker 2: be the same as mine. It would be the same

830
00:42:54,080 --> 00:42:56,720
Speaker 2: as momms, it would be the same as Nanni's, right,

831
00:42:57,400 --> 00:43:02,120
Speaker 2: but like it's also the same as our cousins and

832
00:43:02,280 --> 00:43:03,839
Speaker 2: you know what I mean, because it goes to your

833
00:43:03,840 --> 00:43:06,960
Speaker 2: mother's lineage, So there's gonna be other people that have

834
00:43:07,080 --> 00:43:11,239
Speaker 2: that DNA, whereas nuclear DNA has both DNA from both

835
00:43:11,239 --> 00:43:13,480
Speaker 2: your mom and your dad, and it's just more specific,

836
00:43:13,520 --> 00:43:16,400
Speaker 2: and that's not the one that they use, So I

837
00:43:16,760 --> 00:43:19,480
Speaker 2: think I think that they might be onto something. But

838
00:43:19,560 --> 00:43:22,279
Speaker 2: it's a little bit of a stretch in a way

839
00:43:22,360 --> 00:43:25,680
Speaker 2: to say like this case is solved for sure in

840
00:43:25,719 --> 00:43:26,320
Speaker 2: my opinion.

841
00:43:26,360 --> 00:43:30,359
Speaker 1: Anyway, Well, you don't know the other circumstantial evidence he has.

842
00:43:30,400 --> 00:43:33,440
Speaker 1: But if you're just gonna isolate the DNA component of

843
00:43:33,480 --> 00:43:35,080
Speaker 1: this story, yes, I agree with you.

844
00:43:35,560 --> 00:43:38,960
Speaker 2: And and it's and the weirdest part of the story

845
00:43:39,120 --> 00:43:43,000
Speaker 2: is that it's the three times great granddaughter of this

846
00:43:43,200 --> 00:43:46,640
Speaker 2: victim is calling for a new legal inquest and she

847
00:43:46,840 --> 00:43:50,200
Speaker 2: said she quote just wants justice to be served. Like

848
00:43:50,400 --> 00:43:55,560
Speaker 2: that's ridiculous. The person's dead for almost one hundred and

849
00:43:55,560 --> 00:43:58,120
Speaker 2: fifty years, Like, what are you talking about right now?

850
00:43:58,120 --> 00:44:00,400
Speaker 2: Why are we gonna waste any money on it? Just

851
00:44:00,440 --> 00:44:04,600
Speaker 2: seems it seems I mean, if researchers independently want to

852
00:44:04,600 --> 00:44:06,400
Speaker 2: do it just to get an answer, I just think,

853
00:44:06,560 --> 00:44:10,000
Speaker 2: are we actually gonna put a legal inquest in for this?

854
00:44:10,239 --> 00:44:12,520
Speaker 2: What do you get out of that? Exactly?

855
00:44:13,200 --> 00:44:16,560
Speaker 1: I don't know, all right, new developments with Coburger. So

856
00:44:16,719 --> 00:44:19,800
Speaker 1: his lawyer's claim blood from an unknown man was found

857
00:44:19,800 --> 00:44:22,640
Speaker 1: on a handrail in the victim's home, in addition to

858
00:44:22,800 --> 00:44:26,360
Speaker 1: another's DNA found on a glove outside. All right, So

859
00:44:26,400 --> 00:44:28,480
Speaker 1: you're gonna have to explain a little bit about this

860
00:44:28,520 --> 00:44:33,279
Speaker 1: story for people who are living under a rock. I mean,

861
00:44:33,320 --> 00:44:35,920
Speaker 1: we've talked about it so many times. Brian Coburger is

862
00:44:37,400 --> 00:44:41,040
Speaker 1: the alleged killer of which I want to bring up

863
00:44:41,040 --> 00:44:43,800
Speaker 1: a point later, but let me finish what I'm saying first.

864
00:44:44,320 --> 00:44:47,560
Speaker 1: Brian Coberger is the alleged killer of four college students

865
00:44:47,640 --> 00:44:51,319
Speaker 1: in Idaho in November of twenty twenty two. They were

866
00:44:51,360 --> 00:44:55,880
Speaker 1: all found stabbed to death, brutally murdered. He was arrested

867
00:44:55,880 --> 00:44:58,800
Speaker 1: about a month later, right, and then he is currently

868
00:44:58,840 --> 00:45:02,240
Speaker 1: waiting to go to trial for crime. So the only

869
00:45:02,360 --> 00:45:05,600
Speaker 1: thing they had really tying him to this case for

870
00:45:05,719 --> 00:45:09,640
Speaker 1: physical evidence was they found his DNA on this knife, on.

871
00:45:09,600 --> 00:45:12,080
Speaker 2: This knife sheet. This is a hard word for his heart.

872
00:45:12,160 --> 00:45:13,520
Speaker 2: It is they found.

873
00:45:13,320 --> 00:45:15,840
Speaker 1: His DNA on the button of a knife's sheet that

874
00:45:15,960 --> 00:45:19,400
Speaker 1: was left at the scene. So of course that's incredibly

875
00:45:19,440 --> 00:45:22,200
Speaker 1: suspicious considering all these kids are found stab to death.

876
00:45:22,920 --> 00:45:25,040
Speaker 2: So there's already been a lot of.

877
00:45:25,080 --> 00:45:28,000
Speaker 1: Questions about how they obtained the DNA match because they

878
00:45:28,120 --> 00:45:30,319
Speaker 1: ran it through ran it through a public system, came

879
00:45:30,400 --> 00:45:32,120
Speaker 1: up with one of his relatives. This is how the

880
00:45:32,120 --> 00:45:35,720
Speaker 1: Golden State killer was also caught fifty years after committing

881
00:45:35,760 --> 00:45:38,279
Speaker 1: all his crimes. But his lawyer has been arguing the

882
00:45:38,280 --> 00:45:41,880
Speaker 1: whole time that that's a violation of his rights, which

883
00:45:42,000 --> 00:45:44,240
Speaker 1: I'm curious how that's going to go down in court.

884
00:45:45,120 --> 00:45:48,200
Speaker 1: But now they're saying there's this additional DNA from other

885
00:45:48,280 --> 00:45:50,759
Speaker 1: people found at this scene, and they're trying to get

886
00:45:50,760 --> 00:45:53,560
Speaker 1: the case dismissed or get him off in some capacity

887
00:45:53,600 --> 00:45:54,520
Speaker 1: on this evidence.

888
00:45:55,719 --> 00:45:59,240
Speaker 2: This crime scene must be a nightmare for investigators because

889
00:45:59,280 --> 00:46:04,640
Speaker 2: it was a college party house. I mean, just think

890
00:46:04,719 --> 00:46:09,320
Speaker 2: about all of the DNA between people going there, drinking,

891
00:46:09,520 --> 00:46:13,359
Speaker 2: having sex, just being teenagers spitting. You know, you could

892
00:46:13,360 --> 00:46:16,800
Speaker 2: have a cut cuticle on your finger and get blood somewhere.

893
00:46:16,880 --> 00:46:22,000
Speaker 2: I mean, it's just it's just really a lot of

894
00:46:22,120 --> 00:46:26,520
Speaker 2: DNA to go through, and just because it's unknown, I

895
00:46:26,520 --> 00:46:29,600
Speaker 2: don't know how they figure out what's known versus unknown.

896
00:46:29,640 --> 00:46:31,920
Speaker 2: They must have tested a bunch of people that were

897
00:46:31,960 --> 00:46:35,840
Speaker 2: known to go to the house, but before those girls

898
00:46:35,960 --> 00:46:38,279
Speaker 2: lived in that house, there were other people living in

899
00:46:38,280 --> 00:46:41,719
Speaker 2: that house. I mean, it's it's just a lot. It's

900
00:46:41,840 --> 00:46:43,120
Speaker 2: just a lot of stuff.

901
00:46:43,200 --> 00:46:48,399
Speaker 1: And because you can't necessarily tell how old something is, right, Well,

902
00:46:48,560 --> 00:46:49,080
Speaker 1: they couldn't.

903
00:46:49,440 --> 00:46:52,440
Speaker 2: They couldn't. I have no idea. I don't believe that

904
00:46:52,520 --> 00:46:56,000
Speaker 2: they're able to figure out how long something's been there.

905
00:46:56,080 --> 00:46:59,240
Speaker 2: I really, I really don't know much about DNA testing.

906
00:46:59,360 --> 00:47:04,719
Speaker 2: That's a whole other career profession of people that know

907
00:47:04,960 --> 00:47:08,000
Speaker 2: the ins and outs of that stuff. It just it

908
00:47:08,080 --> 00:47:11,680
Speaker 2: seems to me if you just think about it, for example,

909
00:47:11,800 --> 00:47:15,799
Speaker 2: like even in my small little house that's over one

910
00:47:15,840 --> 00:47:18,640
Speaker 2: hundred years old, how much DNA must be in this house.

911
00:47:19,000 --> 00:47:22,440
Speaker 2: It's just skin cells shutting off and this and that.

912
00:47:22,480 --> 00:47:26,720
Speaker 2: It's just very hard. Now. I think the biggest piece

913
00:47:26,719 --> 00:47:29,840
Speaker 2: of evidence that they have, obviously is because they have

914
00:47:30,680 --> 00:47:33,839
Speaker 2: this guy that definitely shouldn't have ever been in that

915
00:47:33,920 --> 00:47:38,160
Speaker 2: house having a knife sheaf which also shouldn't have been

916
00:47:38,200 --> 00:47:41,560
Speaker 2: in that house with DNA on it under one of

917
00:47:41,560 --> 00:47:46,120
Speaker 2: the victim's bodies, right, So that's what led them to

918
00:47:46,280 --> 00:47:48,640
Speaker 2: other things. And there's other things too that they were

919
00:47:48,640 --> 00:47:52,080
Speaker 2: able to say something about cell phone pings and where

920
00:47:52,120 --> 00:47:54,960
Speaker 2: his car was, and here there was do you remember

921
00:47:55,000 --> 00:47:57,279
Speaker 2: there was that woman working at the gas station that

922
00:47:57,360 --> 00:47:59,839
Speaker 2: said she had saw in the news that they were

923
00:48:00,040 --> 00:48:04,480
Speaker 2: looking for a white what was that car, a Hondai

924
00:48:04,680 --> 00:48:07,520
Speaker 2: whatever it was. And then she had said she went

925
00:48:07,560 --> 00:48:10,320
Speaker 2: through the tapes from the gas station and saw one

926
00:48:10,400 --> 00:48:13,040
Speaker 2: driving by and they were able to ping the cell phone.

927
00:48:13,120 --> 00:48:16,000
Speaker 2: And there's all these different things that go along with it.

928
00:48:16,440 --> 00:48:18,439
Speaker 2: I've been saying from the beginning though, that there's going

929
00:48:18,480 --> 00:48:21,640
Speaker 2: to be there's something else with this case. And do

930
00:48:21,680 --> 00:48:24,640
Speaker 2: you remember when he got arrested, the very first thing

931
00:48:24,719 --> 00:48:29,200
Speaker 2: he said was did you arrest anyone else for this? Yeah?

932
00:48:29,280 --> 00:48:31,840
Speaker 2: Like I did, which I always thought it was weird,

933
00:48:31,920 --> 00:48:34,720
Speaker 2: and it's something you can't blow it off. It's something

934
00:48:34,760 --> 00:48:38,960
Speaker 2: that can't be ignored. It's very you could say, Okay,

935
00:48:39,000 --> 00:48:41,480
Speaker 2: he's a criminal justice student. So he just said that

936
00:48:41,520 --> 00:48:44,320
Speaker 2: to purposely throw people off, which is totally possible.

937
00:48:44,840 --> 00:48:47,719
Speaker 1: Well, it seems like to me they're trying to use

938
00:48:48,280 --> 00:48:51,400
Speaker 1: the fact that there's blood DNA from two other males

939
00:48:52,600 --> 00:48:56,480
Speaker 1: as evidence that his case should get dismissed. But the

940
00:48:56,600 --> 00:48:59,520
Speaker 1: judge rightfully so is like, well, we can't just ignore

941
00:48:59,760 --> 00:49:02,759
Speaker 1: his DNA that was on the nighte sheet. So no,

942
00:49:02,880 --> 00:49:06,399
Speaker 1: we're still going forward with it, obviously, because they'll need

943
00:49:06,440 --> 00:49:09,440
Speaker 1: to prove, like I am interested when this when the

944
00:49:09,440 --> 00:49:13,719
Speaker 1: trial does happen supposedly in August of this year. How

945
00:49:13,719 --> 00:49:16,080
Speaker 1: they're going to bring that up? Who it belongs to?

946
00:49:16,440 --> 00:49:19,120
Speaker 1: Was it other guys that were regularly at the party?

947
00:49:20,520 --> 00:49:23,239
Speaker 1: Brian Kober Like, you're saying had no business being in

948
00:49:23,239 --> 00:49:25,239
Speaker 1: that house. So his DNA being in there is the

949
00:49:25,280 --> 00:49:26,200
Speaker 1: biggest red flag.

950
00:49:27,160 --> 00:49:30,359
Speaker 2: And I don't know what I believe. They were saying

951
00:49:30,360 --> 00:49:32,799
Speaker 2: it was touch DNA, like I like, I don't know

952
00:49:32,880 --> 00:49:37,400
Speaker 2: the difference, But obviously this is what's going to be

953
00:49:37,440 --> 00:49:42,160
Speaker 2: a problem. They found one single thing of touch DNA

954
00:49:42,280 --> 00:49:45,560
Speaker 2: on this knife sheet, but they found nothing in the

955
00:49:45,560 --> 00:49:50,800
Speaker 2: rest of his house. Nothing like you murder four people

956
00:49:51,560 --> 00:49:55,440
Speaker 2: and you have even if the guy was wearing a

957
00:49:55,520 --> 00:49:59,319
Speaker 2: tievax suit and somehow was able to take it off

958
00:49:59,320 --> 00:50:01,040
Speaker 2: and put in it a or something. I don't know

959
00:50:01,040 --> 00:50:04,520
Speaker 2: what exactly the guy did, but there was nothing in

960
00:50:04,560 --> 00:50:08,000
Speaker 2: the car, and nothing in his apartment. Nothing. There wasn't

961
00:50:08,040 --> 00:50:10,759
Speaker 2: a dog hair in his house. From their house, they

962
00:50:10,880 --> 00:50:16,280
Speaker 2: found nothing else. And that's going to be just having

963
00:50:16,560 --> 00:50:20,319
Speaker 2: that little bit of DNA does not it does not

964
00:50:20,520 --> 00:50:24,760
Speaker 2: convict him, you know, Like no, but somebody had said,

965
00:50:25,160 --> 00:50:27,040
Speaker 2: and this is true, if you go to a gun

966
00:50:27,040 --> 00:50:29,640
Speaker 2: show or a knife show, or something like we go

967
00:50:29,800 --> 00:50:31,640
Speaker 2: we go, like let's say we go to our favorite

968
00:50:31,719 --> 00:50:35,000
Speaker 2: knife store in Tennessee, right, that big knife store, and

969
00:50:35,040 --> 00:50:36,640
Speaker 2: you go and you're like, oh, let me look at

970
00:50:36,640 --> 00:50:38,879
Speaker 2: that knife, and you pick it up and you're like, oh,

971
00:50:38,920 --> 00:50:40,480
Speaker 2: this is cool and that's too much money. I don't

972
00:50:40,480 --> 00:50:41,680
Speaker 2: want to buy it, and you give it back. Well,

973
00:50:41,680 --> 00:50:43,480
Speaker 2: guess what your DNA is on that knife right now?

974
00:50:43,520 --> 00:50:45,520
Speaker 2: So if somebody buys it and use it as a crime,

975
00:50:46,280 --> 00:50:48,560
Speaker 2: like my DNA will come up on it and they'll be.

976
00:50:48,560 --> 00:50:51,880
Speaker 1: Like, yes, yes, but they have to piece this together

977
00:50:51,960 --> 00:50:54,839
Speaker 1: with circumstantial evidence. I mean, it's not like that's the

978
00:50:54,920 --> 00:50:56,239
Speaker 1: only thing tying him.

979
00:50:56,440 --> 00:51:00,120
Speaker 2: Like listen, like that dude's eyes are fucking creepy as hell,

980
00:51:00,160 --> 00:51:01,240
Speaker 2: and he's guilty basis.

981
00:51:01,280 --> 00:51:05,200
Speaker 1: All right, Okay, this is what I want to bring up. Well,

982
00:51:05,239 --> 00:51:07,360
Speaker 1: we talked about Luigi last week, and every time we

983
00:51:07,400 --> 00:51:12,440
Speaker 1: talk about Luigi, we inevitably get messages and comments being like,

984
00:51:12,640 --> 00:51:15,920
Speaker 1: you guys are assholes. He is alleged to have killed

985
00:51:15,960 --> 00:51:18,600
Speaker 1: this man, right, even though there's a video that looks

986
00:51:18,640 --> 00:51:21,160
Speaker 1: pretty much like him. But let me just say this. Now,

987
00:51:21,160 --> 00:51:25,160
Speaker 1: we have Brian Koberger, who there's really not as much

988
00:51:25,239 --> 00:51:27,920
Speaker 1: clear as day evidence, such as a video of him

989
00:51:27,960 --> 00:51:31,480
Speaker 1: shooting somebody or stabbing somebody in this case, and because

990
00:51:31,480 --> 00:51:34,680
Speaker 1: of the way he looks, because he's scary, nobody's saying

991
00:51:34,680 --> 00:51:38,680
Speaker 1: that he's the alleged killer. Everybody's saying he definitely did

992
00:51:38,680 --> 00:51:39,800
Speaker 1: it because of his looks.

993
00:51:40,000 --> 00:51:41,880
Speaker 2: So I just want to say it is because the

994
00:51:41,960 --> 00:51:45,200
Speaker 2: eyes in particular. Well, another problem for them is that

995
00:51:45,280 --> 00:51:50,640
Speaker 2: the surviving housemate victim, that Dylan girl, she wasn't able

996
00:51:50,719 --> 00:51:54,800
Speaker 2: to identify him. Yeah, but like which is also a problem.

997
00:51:54,840 --> 00:51:57,399
Speaker 2: I'm just saying it's definitely a problem. But when you're

998
00:51:57,400 --> 00:52:00,040
Speaker 2: in a state of shock, your brain is not I

999
00:52:00,040 --> 00:52:03,480
Speaker 2: don't just sing things. Listen, I don't even I'm not

1000
00:52:03,600 --> 00:52:04,160
Speaker 2: saying anything.

1001
00:52:04,360 --> 00:52:05,759
Speaker 1: I just want to wrap up what I was saying

1002
00:52:05,800 --> 00:52:08,840
Speaker 1: with Societally, I find it interesting that we are so

1003
00:52:09,040 --> 00:52:11,840
Speaker 1: willing to defend an attractive person when it comes to

1004
00:52:11,920 --> 00:52:15,160
Speaker 1: a crime, but when somebody looks like Brian Coberger, he's

1005
00:52:15,160 --> 00:52:16,719
Speaker 1: one hundred percent guilty because of his.

1006
00:52:16,800 --> 00:52:19,600
Speaker 2: Appearance, even though there is truly if you want to

1007
00:52:19,640 --> 00:52:19,840
Speaker 2: put the.

1008
00:52:19,880 --> 00:52:23,640
Speaker 1: Case aside by side, there is less evidence of his

1009
00:52:23,800 --> 00:52:26,400
Speaker 1: involvement in this crime versus Luigi and Brian Thompson.

1010
00:52:26,840 --> 00:52:32,080
Speaker 2: Listen, there's Luigi is a nice looking specimen. I must admit,

1011
00:52:32,160 --> 00:52:34,120
Speaker 2: even though I think that he shouldn't have done that.

1012
00:52:34,600 --> 00:52:39,600
Speaker 2: But but Coburger is there's like a whole entire group

1013
00:52:39,680 --> 00:52:43,400
Speaker 2: of chicks that think that dude's hot, which I I

1014
00:52:43,719 --> 00:52:46,200
Speaker 2: don't see it, but like you're you're just saying that

1015
00:52:46,280 --> 00:52:48,680
Speaker 2: we think he's guilty because he's unattractive, but like people

1016
00:52:48,719 --> 00:52:51,120
Speaker 2: think he's attractive. It's just we don't but like people

1017
00:52:51,200 --> 00:52:53,960
Speaker 2: think he's attractive. But you just can't ignore the stark

1018
00:52:54,040 --> 00:52:56,960
Speaker 2: contrast between that case and the Luigi case and how

1019
00:52:57,000 --> 00:53:00,800
Speaker 2: people react. I mean, listen, really, you're not guilty because

1020
00:53:00,960 --> 00:53:04,480
Speaker 2: you're you're creepy looking like that's you just it's it's

1021
00:53:04,600 --> 00:53:08,600
Speaker 2: unfortunate but should be taken into account. But one thing

1022
00:53:08,680 --> 00:53:11,919
Speaker 2: that needs to come out of this case for sure

1023
00:53:12,280 --> 00:53:15,400
Speaker 2: is this is going to be happening more and more

1024
00:53:15,440 --> 00:53:18,719
Speaker 2: and more, that the DNA situation is going to happen

1025
00:53:18,800 --> 00:53:21,160
Speaker 2: more and more and more, like a lot of For example,

1026
00:53:21,719 --> 00:53:24,160
Speaker 2: when I did one of those tests, it said to me,

1027
00:53:24,280 --> 00:53:26,600
Speaker 2: do you want to be put into a public database?

1028
00:53:26,760 --> 00:53:28,560
Speaker 2: And I said no, I just wanted to have it

1029
00:53:28,680 --> 00:53:31,800
Speaker 2: done to find out if I had any underlying genetic

1030
00:53:31,880 --> 00:53:34,520
Speaker 2: things and also to do my genealogy and stuff, right,

1031
00:53:35,360 --> 00:53:39,880
Speaker 2: But so in what I gave consent for is to

1032
00:53:40,000 --> 00:53:43,480
Speaker 2: do a test to find out something for me. I'm

1033
00:53:43,520 --> 00:53:47,120
Speaker 2: not like, technically, I didn't give consent to try to

1034
00:53:47,200 --> 00:53:50,400
Speaker 2: see if my third cousin murdered somebody, you know what

1035
00:53:50,480 --> 00:53:50,759
Speaker 2: I mean.

1036
00:53:50,840 --> 00:53:53,640
Speaker 1: So, yeah, but I think there needs obviously, because this

1037
00:53:53,760 --> 00:53:56,520
Speaker 1: is newer technology, it needs to be more regulated. But

1038
00:53:56,680 --> 00:54:00,000
Speaker 1: I think when it comes down to crimes of this nature,

1039
00:54:00,080 --> 00:54:04,239
Speaker 1: you're like taking a human life. It shouldn't matter if

1040
00:54:04,320 --> 00:54:06,760
Speaker 1: you're accessing it through a public database or not, because

1041
00:54:06,760 --> 00:54:08,960
Speaker 1: you're talking about solving a murder.

1042
00:54:09,360 --> 00:54:13,040
Speaker 2: This person, oh Iley's life. It's just it's just a

1043
00:54:13,239 --> 00:54:16,720
Speaker 2: very it's it's something. It's it's crazy because like in Congress,

1044
00:54:16,760 --> 00:54:19,160
Speaker 2: you don't even hear these people talking about this, and

1045
00:54:19,280 --> 00:54:21,360
Speaker 2: this isn't going to be for years and years and

1046
00:54:21,440 --> 00:54:23,440
Speaker 2: years that they're going to get this shit straightened out.

1047
00:54:24,400 --> 00:54:27,359
Speaker 2: I just think it's it's a I don't think it's

1048
00:54:27,400 --> 00:54:31,760
Speaker 2: a violation of his rights, but I think it's almost

1049
00:54:32,000 --> 00:54:35,400
Speaker 2: a violation of the family member's rights who didn't agree

1050
00:54:35,560 --> 00:54:38,600
Speaker 2: to have but you consented to have it put in

1051
00:54:38,680 --> 00:54:40,960
Speaker 2: a public data base. No, no, no, that's not a

1052
00:54:41,040 --> 00:54:42,880
Speaker 2: public database. That's what I'm trying to tell you.

1053
00:54:43,719 --> 00:54:47,640
Speaker 1: They said they accessed his DNA through a public database

1054
00:54:48,160 --> 00:54:49,200
Speaker 1: through what through?

1055
00:54:49,440 --> 00:54:50,480
Speaker 2: No, I don't believe.

1056
00:54:50,560 --> 00:54:53,560
Speaker 1: So twenty three and meter ancestry do not turn over

1057
00:54:54,080 --> 00:54:58,800
Speaker 1: the DNA. There are public systems that are available to

1058
00:54:59,080 --> 00:54:59,480
Speaker 1: any You.

1059
00:54:59,520 --> 00:55:01,440
Speaker 2: Need to lose to that because I was under the

1060
00:55:01,680 --> 00:55:04,880
Speaker 2: So let's say, for example, right, twenty three and me

1061
00:55:05,080 --> 00:55:08,919
Speaker 2: is not public, you send your DNA in right, Let's

1062
00:55:08,920 --> 00:55:11,480
Speaker 2: say you do this bit because right here they compared

1063
00:55:11,600 --> 00:55:15,000
Speaker 2: the sample with data from public databases that came from

1064
00:55:15,080 --> 00:55:20,400
Speaker 2: the suspects. Distant relatives are our services that are public data.

1065
00:55:21,600 --> 00:55:25,400
Speaker 2: So if the police department subpoenas twenty three and Me

1066
00:55:25,760 --> 00:55:29,040
Speaker 2: or ancestry dot com, they push back on that really hard.

1067
00:55:29,120 --> 00:55:31,880
Speaker 1: I don't think they've ever given those over because it's private.

1068
00:55:33,440 --> 00:55:34,880
Speaker 1: But you could agree to have it put in a

1069
00:55:34,920 --> 00:55:39,399
Speaker 1: more public system like jedmatch, and then that's putting your

1070
00:55:39,560 --> 00:55:42,759
Speaker 1: stuff in public to become posit. So that happened with

1071
00:55:42,880 --> 00:55:45,080
Speaker 1: the Golden State killer too, that it was a public

1072
00:55:45,600 --> 00:55:48,320
Speaker 1: it was through a public database, Okay, not through the

1073
00:55:48,400 --> 00:55:51,480
Speaker 1: private ones, And that needs to be like that, that

1074
00:55:51,719 --> 00:55:54,040
Speaker 1: is for sure twenty three and me and Ancestry are

1075
00:55:54,239 --> 00:55:56,960
Speaker 1: very vocal about them pushing back on it because they

1076
00:55:57,040 --> 00:56:00,560
Speaker 1: want their users to know their data is safe. But

1077
00:56:00,680 --> 00:56:02,920
Speaker 1: when you agree to have it put in a public system,

1078
00:56:03,760 --> 00:56:06,960
Speaker 1: you are agreeing to make a public information. Which that's

1079
00:56:07,000 --> 00:56:08,880
Speaker 1: why I'm not understanding how it's a violation of his

1080
00:56:09,000 --> 00:56:09,840
Speaker 1: rights if it's public.

1081
00:56:10,040 --> 00:56:13,680
Speaker 2: I don't understand that either, because I was thinking because

1082
00:56:13,680 --> 00:56:17,000
Speaker 2: I feel like I feel like there's certain ways that

1083
00:56:17,080 --> 00:56:19,600
Speaker 2: you can as a as a I'm not a I'm

1084
00:56:19,640 --> 00:56:22,640
Speaker 2: not a cop obviously, but there's ways that you could

1085
00:56:22,680 --> 00:56:25,880
Speaker 2: get around twenty three and me not giving it. For example,

1086
00:56:26,040 --> 00:56:29,400
Speaker 2: like if you sent and I know that you wouldn't

1087
00:56:29,440 --> 00:56:31,000
Speaker 2: be able to use this in a court of law.

1088
00:56:31,160 --> 00:56:35,680
Speaker 2: I'm thinking that if you send it in and just

1089
00:56:35,800 --> 00:56:38,400
Speaker 2: say you're whoever, it will Matt. Like let's say you

1090
00:56:38,520 --> 00:56:40,520
Speaker 2: spit in a cop and you put that your name,

1091
00:56:41,360 --> 00:56:43,880
Speaker 2: your name was whatever, it would match that you were

1092
00:56:43,960 --> 00:56:47,920
Speaker 2: my daughter, and then from there it doesn't matter who

1093
00:56:48,000 --> 00:56:50,080
Speaker 2: the person that sent it in, you know what I mean?

1094
00:56:50,200 --> 00:56:54,320
Speaker 2: Like you would find out like let's say, for example,

1095
00:56:54,560 --> 00:56:58,680
Speaker 2: you had Brian Coberger's DNA and you sent it in

1096
00:56:59,080 --> 00:57:01,399
Speaker 2: to twenty three and me just being like, Hey, I'm

1097
00:57:01,440 --> 00:57:03,920
Speaker 2: a new user and I want to find out my family.

1098
00:57:04,200 --> 00:57:07,239
Speaker 2: You can't they can't do that. That that's a leek, right,

1099
00:57:07,320 --> 00:57:10,080
Speaker 2: So then what they did they can do because it's

1100
00:57:10,120 --> 00:57:12,759
Speaker 2: public data. So then why is this even a conversation.

1101
00:57:13,120 --> 00:57:15,560
Speaker 1: That's why I'm saying, I don't understand her argument because

1102
00:57:15,560 --> 00:57:19,240
Speaker 1: it's a public database. If if the police took his

1103
00:57:19,360 --> 00:57:21,120
Speaker 1: DNA and put it into twenty three and meters with

1104
00:57:21,160 --> 00:57:24,320
Speaker 1: a fake identity or used his name's I thought it

1105
00:57:24,440 --> 00:57:27,400
Speaker 1: happened really that they were using like I don't under

1106
00:57:28,520 --> 00:57:31,560
Speaker 1: the Golden State Killer, they're taking the DNA sample they have.

1107
00:57:31,800 --> 00:57:34,400
Speaker 1: In the Golden State Killer case, it was semen from

1108
00:57:34,440 --> 00:57:37,920
Speaker 1: a rape kit. In Coburger's case, it's the DNA they

1109
00:57:38,000 --> 00:57:41,120
Speaker 1: extracted from the sheet. So they're putting that DNA in

1110
00:57:41,280 --> 00:57:44,800
Speaker 1: and they're running it into a public database, and it's

1111
00:57:44,960 --> 00:57:48,080
Speaker 1: pinging a distant relative of his, and then they look

1112
00:57:48,160 --> 00:57:51,120
Speaker 1: at the relative, they break down the family tree, they

1113
00:57:51,200 --> 00:57:54,280
Speaker 1: see circumstantially who's living, where, what age are they.

1114
00:57:54,240 --> 00:57:57,200
Speaker 2: What did they look like? And then they going, I

1115
00:57:57,360 --> 00:57:59,080
Speaker 2: just don't think that they're going to throw this out

1116
00:57:59,120 --> 00:58:02,960
Speaker 2: then anyway, they're throwing it out. What do you think

1117
00:58:03,000 --> 00:58:04,680
Speaker 2: that they're just like throwing a bunch of shit out

1118
00:58:04,680 --> 00:58:05,680
Speaker 2: there and seeing what sticks.

1119
00:58:05,720 --> 00:58:12,240
Speaker 1: Basically that yes, because that's a good well that's her truly,

1120
00:58:12,400 --> 00:58:15,360
Speaker 1: what does she have to work with Circumstantially, he was

1121
00:58:15,440 --> 00:58:19,240
Speaker 1: creeping on those women? He has DNA at the crime scene.

1122
00:58:19,640 --> 00:58:22,160
Speaker 1: Other people are coming forward saying he was in extreme

1123
00:58:22,240 --> 00:58:26,120
Speaker 1: creeps there. I mean, unless she has and what was

1124
00:58:26,200 --> 00:58:27,920
Speaker 1: his what was the OWLBI they said he had.

1125
00:58:27,920 --> 00:58:29,960
Speaker 2: I don't be driving around the loan. I don't think

1126
00:58:30,040 --> 00:58:33,320
Speaker 2: there's any Yes, he was meditating Maria. I don't think

1127
00:58:33,320 --> 00:58:37,160
Speaker 2: there's any evidence that he was creeping on those women.

1128
00:58:37,280 --> 00:58:39,560
Speaker 2: I know that they were saying that there was something

1129
00:58:39,640 --> 00:58:42,120
Speaker 2: with Instagram direct messages, but I don't think that.

1130
00:58:42,320 --> 00:58:43,960
Speaker 1: I don't know that that wy I thought he had

1131
00:58:44,040 --> 00:58:46,240
Speaker 1: gone to the restaurant the one girl worked at like

1132
00:58:46,320 --> 00:58:47,120
Speaker 1: a bunch of times.

1133
00:58:47,200 --> 00:58:49,920
Speaker 2: To me, that's that's bullshit. All right, Well, I got

1134
00:58:50,040 --> 00:58:51,680
Speaker 2: I go to Chick fil A up the street for

1135
00:58:51,800 --> 00:58:54,520
Speaker 2: me multiple times a month Like that doesn't mean that

1136
00:58:54,640 --> 00:58:57,320
Speaker 2: I killed the person that's there. That's ridiculous. He lived

1137
00:58:57,360 --> 00:58:59,680
Speaker 2: in the college town, it wouldn't be. Yeah, but you're

1138
00:58:59,760 --> 00:59:02,200
Speaker 2: you're and he was vegetarian or something like that. Not

1139
00:59:02,320 --> 00:59:04,280
Speaker 2: the last story to you're being closed minded. It's not

1140
00:59:04,320 --> 00:59:06,880
Speaker 2: about the one detail. It's about the the little details

1141
00:59:06,880 --> 00:59:10,720
Speaker 2: put together in one picture. It doesn't look good for him.

1142
00:59:11,040 --> 00:59:13,720
Speaker 2: But listen, I'm not wait, we have to talk about

1143
00:59:13,760 --> 00:59:16,480
Speaker 2: something else too. So apparently this I don't know if

1144
00:59:16,520 --> 00:59:21,000
Speaker 2: you've listened to Nancy Grace about this, but apparently this

1145
00:59:21,280 --> 00:59:23,400
Speaker 2: there's this guy that's on her show all the time

1146
00:59:23,520 --> 00:59:26,280
Speaker 2: that has a YouTube channel and he's like a former

1147
00:59:26,400 --> 00:59:29,080
Speaker 2: homicide investigator or something. I don't know exactly what he does,

1148
00:59:29,680 --> 00:59:33,880
Speaker 2: but he was there reporting on this case, on this

1149
00:59:34,160 --> 00:59:36,520
Speaker 2: the Idaho murders when it first happened. He was there

1150
00:59:36,600 --> 00:59:39,160
Speaker 2: within the first couple of days of it happening. And

1151
00:59:39,280 --> 00:59:41,800
Speaker 2: I believe that he was the one that pointed out

1152
00:59:41,880 --> 00:59:45,400
Speaker 2: the glove that he saw on the scene and was like,

1153
00:59:45,840 --> 00:59:48,760
Speaker 2: because remember Nancy like set up her table outside of

1154
00:59:48,840 --> 00:59:51,960
Speaker 2: the house, Yeah, I did, which was great, which was outrageous, yeat,

1155
00:59:52,280 --> 00:59:54,919
Speaker 2: and and so you there was police line you weren't

1156
00:59:54,960 --> 00:59:56,920
Speaker 2: allowed over a certain part of the scene. And the

1157
00:59:57,280 --> 00:59:59,720
Speaker 2: guy was like a former homicide detective or something, and

1158
00:59:59,760 --> 01:00:02,440
Speaker 2: he's like he like yells over to one of the

1159
01:00:02,520 --> 01:00:04,680
Speaker 2: cops and he's like, did you guys see this glove

1160
01:00:04,800 --> 01:00:09,560
Speaker 2: sitting over here? So it was it was not initially collected,

1161
01:00:09,720 --> 01:00:11,800
Speaker 2: I believe. I don't know if that's the same glove

1162
01:00:11,840 --> 01:00:15,480
Speaker 2: that they found DNA on, which would be outrageous because

1163
01:00:16,160 --> 01:00:21,560
Speaker 2: now that's that could be anything because that was days later.

1164
01:00:21,800 --> 01:00:22,720
Speaker 2: Kind of I don't know.

1165
01:00:22,920 --> 01:00:26,000
Speaker 1: I don't know, okay, But there's two different things going on.

1166
01:00:26,160 --> 01:00:28,960
Speaker 1: The conversation we had about his DNA is separate from

1167
01:00:29,040 --> 01:00:31,680
Speaker 1: this new evidence that they're sing. Like at first, his

1168
01:00:31,840 --> 01:00:36,520
Speaker 1: lawyer tried to say they unconstitutionally got his DNA from

1169
01:00:36,800 --> 01:00:39,200
Speaker 1: the sheath, So that was the first thing thrown out

1170
01:00:39,280 --> 01:00:43,320
Speaker 1: months ago. The new development is that there was other

1171
01:00:43,560 --> 01:00:47,080
Speaker 1: DNA samples that had been known at the scene, and

1172
01:00:47,200 --> 01:00:50,160
Speaker 1: they did not disclose that when they got his search warrant.

1173
01:00:50,400 --> 01:00:52,200
Speaker 2: Yeah, and they should have.

1174
01:00:52,920 --> 01:00:56,360
Speaker 1: They should have disclosed it. But you don't know what

1175
01:00:56,600 --> 01:00:58,680
Speaker 1: investigation they've done on that. They could have found out

1176
01:00:58,720 --> 01:01:01,320
Speaker 1: it was from a party three weeks before, they could

1177
01:01:01,360 --> 01:01:03,040
Speaker 1: have found out the glove was from somebody that lived

1178
01:01:03,080 --> 01:01:04,000
Speaker 1: there ten years before.

1179
01:01:04,160 --> 01:01:07,840
Speaker 2: Like, you just don't know. So it's frush.

1180
01:01:07,960 --> 01:01:10,560
Speaker 1: This case is frustrating because we're getting little tidbits here

1181
01:01:10,600 --> 01:01:12,280
Speaker 1: and there, but there's a gag order, so we don't

1182
01:01:12,320 --> 01:01:12,880
Speaker 1: have everything.

1183
01:01:12,920 --> 01:01:15,720
Speaker 2: It is frustrating too, because let's say, for example, there

1184
01:01:15,880 --> 01:01:18,919
Speaker 2: was a glove that had blood on it, How could

1185
01:01:18,960 --> 01:01:22,880
Speaker 2: there not be any blood from any of the victims

1186
01:01:22,960 --> 01:01:26,400
Speaker 2: on it. It's just so interesting. The whole case is

1187
01:01:26,480 --> 01:01:30,440
Speaker 2: so interesting, and what is really scary about it, honestly,

1188
01:01:30,720 --> 01:01:34,080
Speaker 2: is that if he or who, if he didn't leave

1189
01:01:34,280 --> 01:01:36,200
Speaker 2: I mean I still believe that he did it, didn't

1190
01:01:36,280 --> 01:01:39,160
Speaker 2: leave that knife sheath underneath of that body, we would

1191
01:01:39,960 --> 01:01:43,160
Speaker 2: possibly never know who did this, and that is freaking

1192
01:01:43,320 --> 01:01:45,040
Speaker 2: really scary actually, well.

1193
01:01:45,640 --> 01:01:50,360
Speaker 1: In some capacity, but that security officer at the college

1194
01:01:50,480 --> 01:01:54,520
Speaker 1: was onto his car pretty quickly, so he was. But

1195
01:01:55,440 --> 01:01:58,120
Speaker 1: would they have done anything else if they didn't have

1196
01:01:59,400 --> 01:02:02,440
Speaker 1: you know, well, they maybe couldn't have arrested him as quickly,

1197
01:02:02,560 --> 01:02:05,640
Speaker 1: but they weren't going to drop that. They were looking

1198
01:02:05,720 --> 01:02:08,720
Speaker 1: into him pretty quickly, way quicker than we knew publicly

1199
01:02:09,240 --> 01:02:10,680
Speaker 1: before he got arrested.

1200
01:02:10,640 --> 01:02:11,640
Speaker 2: Simply off of the car.

1201
01:02:12,040 --> 01:02:15,360
Speaker 1: The DNA thing was just like a good moment for

1202
01:02:15,480 --> 01:02:21,040
Speaker 1: them to tie it all together. Okay, medical news, All right,

1203
01:02:21,120 --> 01:02:23,360
Speaker 1: So a new study is revealed the possible new use

1204
01:02:23,400 --> 01:02:27,120
Speaker 1: for ozempic besides weight loss. All right, so this is

1205
01:02:27,640 --> 01:02:30,400
Speaker 1: kind of really interesting actually. So obviously we hear about

1206
01:02:30,440 --> 01:02:33,200
Speaker 1: ozempic all the time, all the Hollywood people are using

1207
01:02:33,280 --> 01:02:36,640
Speaker 1: it to lose weight and such, and they're coming to

1208
01:02:36,800 --> 01:02:41,240
Speaker 1: find that there's more benefits to it because obviously it's

1209
01:02:41,360 --> 01:02:45,240
Speaker 1: curving crater or curbing cravings for people for food, but

1210
01:02:45,320 --> 01:02:48,000
Speaker 1: they're also seeing that it's helping for other things too.

1211
01:02:48,720 --> 01:02:51,600
Speaker 1: So there was this really small study done with only

1212
01:02:51,720 --> 01:02:53,720
Speaker 1: forty eight people, but they had half of the people

1213
01:02:53,840 --> 01:02:56,880
Speaker 1: on ozempic and half of the people were not on ozempic.

1214
01:02:57,440 --> 01:02:59,800
Speaker 1: All of these people had been diagnosed.

1215
01:02:59,280 --> 01:03:03,280
Speaker 2: With moderate to severe alcohol use disorder, and for nine

1216
01:03:03,360 --> 01:03:05,520
Speaker 2: weeks they were in this study, so they had half

1217
01:03:05,560 --> 01:03:07,560
Speaker 2: of them taking the ozempic and half of them were

1218
01:03:07,600 --> 01:03:11,720
Speaker 2: getting this placebo they said. And at the end of

1219
01:03:11,800 --> 01:03:14,280
Speaker 2: the study they had this party kind of thing that

1220
01:03:14,400 --> 01:03:16,840
Speaker 2: they said, here's a bunch of alcohol and you could

1221
01:03:16,920 --> 01:03:18,760
Speaker 2: drink as much as you want at this party to

1222
01:03:18,880 --> 01:03:21,640
Speaker 2: celebrate the end of this study or whatever. And they

1223
01:03:21,840 --> 01:03:25,320
Speaker 2: found that the people who were on the ozempic drank

1224
01:03:25,680 --> 01:03:29,600
Speaker 2: less overall the nine weeks. They also drank less at

1225
01:03:29,640 --> 01:03:32,680
Speaker 2: the end of the trial, the you know, the clinical

1226
01:03:32,760 --> 01:03:36,520
Speaker 2: trial party, and they also said that they smoked fewer

1227
01:03:36,600 --> 01:03:38,480
Speaker 2: cigarettes during that time as well.

1228
01:03:39,480 --> 01:03:41,680
Speaker 1: Well, that's pretty cool if they could use it. I

1229
01:03:41,800 --> 01:03:44,120
Speaker 1: know that. I mean, I don't know if it's like

1230
01:03:44,720 --> 01:03:46,680
Speaker 1: approved for this purpose, but I know a lot of

1231
01:03:46,720 --> 01:03:50,120
Speaker 1: people are using ozempic for fertility purposes. They're obviously using

1232
01:03:50,160 --> 01:03:52,960
Speaker 1: it for weight loss. The main cause of ozempic was

1233
01:03:53,000 --> 01:03:56,160
Speaker 1: for diabetes, so to see it could be used for

1234
01:03:56,240 --> 01:03:59,640
Speaker 1: something like substance control issues oasly with that, it's cool

1235
01:03:59,680 --> 01:04:00,360
Speaker 1: because I've.

1236
01:04:00,240 --> 01:04:02,640
Speaker 2: Been hearing studies too that are being done that it's

1237
01:04:02,720 --> 01:04:05,560
Speaker 2: for Obviously it's for binge eating, and now we're talking

1238
01:04:05,560 --> 01:04:09,960
Speaker 2: about alcohol use disorder, but also excessive gambling, excessive spending.

1239
01:04:10,680 --> 01:04:13,920
Speaker 2: The only thing so it seems like whatever the mechanism is,

1240
01:04:14,040 --> 01:04:18,480
Speaker 2: it's suppressing that that reward system that you would normally

1241
01:04:18,600 --> 01:04:22,560
Speaker 2: get from doing something like that. But the other problem

1242
01:04:22,680 --> 01:04:26,400
Speaker 2: is is that it also suppresses your sexual drives. So

1243
01:04:26,480 --> 01:04:29,520
Speaker 2: that might be good for people that have these sex

1244
01:04:29,560 --> 01:04:32,880
Speaker 2: addictions or something like that, but for regular people that

1245
01:04:33,280 --> 01:04:34,920
Speaker 2: might be a problem that you don't want to have

1246
01:04:35,080 --> 01:04:40,720
Speaker 2: certain things suppressed. So you hear like people are sometimes

1247
01:04:40,800 --> 01:04:43,320
Speaker 2: people are having symptoms of not having as much joy

1248
01:04:43,840 --> 01:04:46,280
Speaker 2: and certain things are suppressed as well, so you have

1249
01:04:46,360 --> 01:04:50,480
Speaker 2: to take that into consideration. No, totally, all right.

1250
01:04:50,560 --> 01:04:53,560
Speaker 1: So last week's Valentine's Day especial, we talked about different

1251
01:04:53,600 --> 01:04:57,240
Speaker 1: types of accidents stemming from pleasure, including two forms of

1252
01:04:57,320 --> 01:04:59,919
Speaker 1: your wreath throw sounding. So in this case, this twenty

1253
01:05:00,160 --> 01:05:02,200
Speaker 1: three year old or twenty one year old shows up

1254
01:05:02,240 --> 01:05:05,520
Speaker 1: to the hospital and he has a USB cord in

1255
01:05:05,640 --> 01:05:07,960
Speaker 1: his penis because he was using that for pleasure.

1256
01:05:08,960 --> 01:05:12,680
Speaker 2: So this guy had a history of doing this to himself.

1257
01:05:13,000 --> 01:05:16,640
Speaker 2: He said he used cotton swabs wire cables in the past,

1258
01:05:16,680 --> 01:05:18,840
Speaker 2: but he was always able to get it out himself.

1259
01:05:19,520 --> 01:05:25,160
Speaker 2: And when Maria says it's a us B cord, You're thinking, like, okay,

1260
01:05:25,320 --> 01:05:28,440
Speaker 2: this little, this little ten foot one that everybody has

1261
01:05:28,480 --> 01:05:30,640
Speaker 2: that comes with their iPhones or something. And I'm thinking,

1262
01:05:30,760 --> 01:05:34,840
Speaker 2: he just stuck the tip into his penis. So he's

1263
01:05:34,920 --> 01:05:39,120
Speaker 2: got this. It almost looks like one that you would

1264
01:05:39,240 --> 01:05:42,560
Speaker 2: use for a TV. It's a thicker cable, more of

1265
01:05:42,640 --> 01:05:45,520
Speaker 2: a cable wire. I don't know when in what circumstance

1266
01:05:45,560 --> 01:05:49,800
Speaker 2: you would use it, maybe for a phone connection or

1267
01:05:49,880 --> 01:05:52,200
Speaker 2: something in your house or a cable box connection or

1268
01:05:52,240 --> 01:05:56,400
Speaker 2: something like that. But this, this cable is it doesn't

1269
01:05:56,440 --> 01:05:59,200
Speaker 2: say in the article how long it is, but to

1270
01:05:59,320 --> 01:06:02,040
Speaker 2: me it's s I would estimate it's like fifty feet long.

1271
01:06:02,200 --> 01:06:03,280
Speaker 2: It's frickin huge.

1272
01:06:03,600 --> 01:06:06,360
Speaker 1: So wait, when you're looking at the pictures of this.

1273
01:06:06,520 --> 01:06:10,360
Speaker 1: First you're looking, he like kinks it in the middle

1274
01:06:10,520 --> 01:06:14,000
Speaker 1: and sticks that up his penis, so your men.

1275
01:06:14,000 --> 01:06:16,800
Speaker 2: Just starts jamming it up, so the two ends are

1276
01:06:16,880 --> 01:06:18,400
Speaker 2: like hanging out of his penis.

1277
01:06:18,800 --> 01:06:22,000
Speaker 1: So visually, I'm like agreeing with you, this looks to

1278
01:06:22,120 --> 01:06:25,120
Speaker 1: be about a five to ten foot long cord, but no,

1279
01:06:25,360 --> 01:06:28,280
Speaker 1: you're saying it's fifty feet so you're only seeing the

1280
01:06:28,600 --> 01:06:30,600
Speaker 1: like the ends of it basically coming out. But he

1281
01:06:30,640 --> 01:06:34,320
Speaker 1: has stuck this entire cable up there, which is why

1282
01:06:34,480 --> 01:06:35,440
Speaker 1: he couldn't get it out.

1283
01:06:35,560 --> 01:06:38,240
Speaker 2: Yeah, so it's obviously it's not just up his penis,

1284
01:06:38,320 --> 01:06:41,520
Speaker 2: but it's filling up his bladder with all of these wires, right,

1285
01:06:42,160 --> 01:06:45,320
Speaker 2: And the doctors first tried to pull it out and

1286
01:06:45,400 --> 01:06:48,880
Speaker 2: they weren't. It wasn't it was stuck right, So they

1287
01:06:49,080 --> 01:06:51,080
Speaker 2: they thought, oh god, there might be a kink or

1288
01:06:51,240 --> 01:06:53,320
Speaker 2: they might have nodded up there. So they didn't want

1289
01:06:53,360 --> 01:06:56,160
Speaker 2: to mess with it too much more, so they put

1290
01:06:56,240 --> 01:06:58,600
Speaker 2: him under anesthesia and they went up there with a

1291
01:06:58,680 --> 01:07:00,880
Speaker 2: scoop and they figured out that there was no canks.

1292
01:07:00,920 --> 01:07:02,880
Speaker 2: It was just, you know what I'm saying, the difference

1293
01:07:02,920 --> 01:07:05,760
Speaker 2: between a USB cord wire versus one that you would

1294
01:07:06,560 --> 01:07:08,720
Speaker 2: a thicker one that you would put behind a TV

1295
01:07:08,920 --> 01:07:10,800
Speaker 2: or something like. It just was it was thick and

1296
01:07:10,880 --> 01:07:13,280
Speaker 2: it was just not budging the way that they wanted to.

1297
01:07:13,880 --> 01:07:15,640
Speaker 2: So they were able to go up there with a

1298
01:07:15,720 --> 01:07:18,440
Speaker 2: scope and actually cut it, so they were able to

1299
01:07:18,520 --> 01:07:21,040
Speaker 2: pull it out easier. And he had to stay in

1300
01:07:21,120 --> 01:07:23,360
Speaker 2: the hospital for a week, which is long to have

1301
01:07:23,480 --> 01:07:26,440
Speaker 2: to stay in the hospital. He was discharged with antibiotics

1302
01:07:26,520 --> 01:07:29,240
Speaker 2: and there was his recovery was on eventful.

1303
01:07:30,640 --> 01:07:34,040
Speaker 1: I just I can't believe people survived doing stuff like this.

1304
01:07:34,280 --> 01:07:34,600
Speaker 2: I can't.

1305
01:07:34,680 --> 01:07:38,480
Speaker 1: This scan of the of the cable like all in

1306
01:07:38,600 --> 01:07:40,880
Speaker 1: his bladder and everything is insane looking.

1307
01:07:41,120 --> 01:07:44,360
Speaker 2: Yeah, it really is. And it's I mean, this is

1308
01:07:44,680 --> 01:07:46,760
Speaker 2: this is the thing, like if we really think about this,

1309
01:07:47,440 --> 01:07:50,080
Speaker 2: this particular case, it's like we just talked about one

1310
01:07:50,160 --> 01:07:53,280
Speaker 2: last week. It happens. It happens all the time, and

1311
01:07:53,440 --> 01:07:56,720
Speaker 2: these are just ones that are getting reported in case reports, Like,

1312
01:07:57,320 --> 01:08:00,439
Speaker 2: think about all of the ones that are happening every

1313
01:08:00,520 --> 01:08:03,080
Speaker 2: single day in the emergency room that just never end

1314
01:08:03,200 --> 01:08:06,600
Speaker 2: up getting reported. You know, No, definitely, all right onto

1315
01:08:06,720 --> 01:08:08,840
Speaker 2: Questions of the Day every Friday at the at mother

1316
01:08:08,920 --> 01:08:11,040
Speaker 2: Nose Death Instagram account, you guys could head over to

1317
01:08:11,120 --> 01:08:14,400
Speaker 2: our story and ask us whatever questions you want. First,

1318
01:08:14,520 --> 01:08:17,400
Speaker 2: have you ever done in autopsy and found endometriosis where

1319
01:08:17,400 --> 01:08:21,880
Speaker 2: you didn't expect to. I've never found it at autopsy

1320
01:08:22,160 --> 01:08:25,400
Speaker 2: by accident. I mean, I guess I've seen it on

1321
01:08:25,800 --> 01:08:28,679
Speaker 2: women from time to time. That's just in the normal places,

1322
01:08:28,840 --> 01:08:32,040
Speaker 2: like over the outer surface of the uterus or down

1323
01:08:32,080 --> 01:08:33,840
Speaker 2: in the pelvis like that, that would be a normal

1324
01:08:33,880 --> 01:08:37,000
Speaker 2: place that you would see endometriosis. But I definitely have

1325
01:08:37,160 --> 01:08:42,360
Speaker 2: gotten a couple different ones that were weird in surgical pathology.

1326
01:08:42,479 --> 01:08:45,000
Speaker 2: So I had one that was from someone's belly button

1327
01:08:45,640 --> 01:08:47,320
Speaker 2: and I have a case of that in my book

1328
01:08:47,400 --> 01:08:50,439
Speaker 2: actually that this woman was bleeding, like literally getting her

1329
01:08:50,520 --> 01:08:53,519
Speaker 2: period out of her belly button, which is crazy. And

1330
01:08:53,680 --> 01:08:56,160
Speaker 2: I also got one from the omentum. So that is

1331
01:08:56,280 --> 01:08:59,120
Speaker 2: the fat that it's kind of an apron of fat

1332
01:08:59,160 --> 01:09:02,919
Speaker 2: that covers all of the abdominal organs in the abdomen.

1333
01:09:03,080 --> 01:09:06,920
Speaker 2: So I've gotten cool ones in surge path for sure. Yeah,

1334
01:09:06,960 --> 01:09:08,680
Speaker 2: because I guess in theory it could really go like

1335
01:09:08,800 --> 01:09:11,240
Speaker 2: anywhere like that. The one time I got that belly

1336
01:09:11,320 --> 01:09:14,240
Speaker 2: button one, it has it on gross exam when you're

1337
01:09:14,280 --> 01:09:15,920
Speaker 2: looking at it and cutting it, it has a very

1338
01:09:16,000 --> 01:09:18,760
Speaker 2: specific look. We got it for a frozen section, and

1339
01:09:18,800 --> 01:09:20,800
Speaker 2: as soon as I cut it, I was like, this

1340
01:09:20,920 --> 01:09:24,840
Speaker 2: looks like endometriosis. It just looks like a very specific thing.

1341
01:09:24,920 --> 01:09:28,680
Speaker 2: And I remember telling the pathologists and he was just

1342
01:09:28,800 --> 01:09:31,000
Speaker 2: kind of like, you know, we always have bets. I

1343
01:09:31,080 --> 01:09:32,479
Speaker 2: bet you it's going to be this or something. And

1344
01:09:32,560 --> 01:09:35,920
Speaker 2: I was like just satisfied that I was right about that,

1345
01:09:35,960 --> 01:09:37,920
Speaker 2: because it just does have a very specific look.

1346
01:09:38,560 --> 01:09:40,759
Speaker 1: All right, how do you feel about body worlds?

1347
01:09:41,560 --> 01:09:44,000
Speaker 2: I think it's cool. I think it's really cool for

1348
01:09:44,240 --> 01:09:47,560
Speaker 2: people who don't get to do what I do and

1349
01:09:47,720 --> 01:09:50,799
Speaker 2: don't ever really get to see it. It's very similar

1350
01:09:51,120 --> 01:09:54,360
Speaker 2: looking stuff for the most part. I mean, it's wax.

1351
01:09:54,880 --> 01:09:59,000
Speaker 2: It's just really interesting and I think that everyone has

1352
01:09:59,160 --> 01:10:02,240
Speaker 2: the right to be able to see inside of the

1353
01:10:02,320 --> 01:10:06,080
Speaker 2: human body. I don't I know there's controversy around it,

1354
01:10:06,240 --> 01:10:09,240
Speaker 2: but I don't. I don't really get involved with that stuff.

1355
01:10:09,280 --> 01:10:11,360
Speaker 2: I just think the thing is cool. I've seen it

1356
01:10:11,400 --> 01:10:15,200
Speaker 2: a couple of times. You did you go with me? Yeah?

1357
01:10:15,320 --> 01:10:15,880
Speaker 2: Well I was.

1358
01:10:16,280 --> 01:10:18,639
Speaker 1: I feel like I was Lilyan's age. I was pretty young.

1359
01:10:18,680 --> 01:10:20,639
Speaker 1: It was at the Franklin Institute. Yeah.

1360
01:10:20,680 --> 01:10:22,640
Speaker 2: Remember, Yeah, you were pretty young, because I feel like

1361
01:10:22,720 --> 01:10:26,519
Speaker 2: I was in school still maybe when that happened. Maybe older,

1362
01:10:27,080 --> 01:10:29,760
Speaker 2: maybe even younger. I'm not sure, but I mean the

1363
01:10:29,840 --> 01:10:32,760
Speaker 2: one that came around Philly back in the day had

1364
01:10:32,840 --> 01:10:34,880
Speaker 2: a pregnant woman and there was this whole room with

1365
01:10:35,120 --> 01:10:38,680
Speaker 2: with like fetuses and jars, and I just think it's like,

1366
01:10:38,880 --> 01:10:42,000
Speaker 2: I'm so for that stuff. Museums that show that stuff,

1367
01:10:42,120 --> 01:10:47,240
Speaker 2: and I don't know, I think that it's great for

1368
01:10:47,360 --> 01:10:50,599
Speaker 2: people to get to go see that kind of stuff. Okay, last,

1369
01:10:50,680 --> 01:10:54,639
Speaker 2: what are both of your favorite Valentine's Day desserts? Wait?

1370
01:10:54,720 --> 01:10:57,720
Speaker 1: Can I just start off with we So we were

1371
01:10:57,840 --> 01:11:00,240
Speaker 1: talking about how you know the presence.

1372
01:11:01,720 --> 01:11:02,479
Speaker 2: When you're married.

1373
01:11:02,880 --> 01:11:06,600
Speaker 1: So you know, I just got totally overshadowed because of

1374
01:11:06,680 --> 01:11:09,920
Speaker 1: the Eagles parade, right, So it's like all day just

1375
01:11:10,120 --> 01:11:10,639
Speaker 1: I think.

1376
01:11:10,479 --> 01:11:15,439
Speaker 2: That there's probably there's probably many women in Philadelphia that

1377
01:11:15,600 --> 01:11:19,360
Speaker 2: feel like because a lot of times, right, you have

1378
01:11:20,120 --> 01:11:23,640
Speaker 2: a boyfriend and you're or a husband and you're in

1379
01:11:23,720 --> 01:11:26,200
Speaker 2: a relationship or a girlfriend whatever, you're in a relationship

1380
01:11:26,280 --> 01:11:29,320
Speaker 2: for a long time, and you kind of look forward

1381
01:11:29,360 --> 01:11:32,439
Speaker 2: to that day because you're like, Okay, this day, he

1382
01:11:32,640 --> 01:11:34,960
Speaker 2: has to spend time with me, he has to take

1383
01:11:35,040 --> 01:11:37,320
Speaker 2: me out to dinner, he has to pay attention, and

1384
01:11:37,439 --> 01:11:39,880
Speaker 2: then all of a sudden, you have to also go

1385
01:11:39,960 --> 01:11:42,120
Speaker 2: to the Eagles game. And then the guy's getting drunk

1386
01:11:42,160 --> 01:11:44,920
Speaker 2: all day and then the whole night is shot. There's

1387
01:11:44,920 --> 01:11:46,840
Speaker 2: probably a lot of women that are feeling this way

1388
01:11:46,960 --> 01:11:47,240
Speaker 2: right now.

1389
01:11:47,800 --> 01:11:50,120
Speaker 1: Yeah, So you know, I went to the parade and

1390
01:11:50,280 --> 01:11:53,760
Speaker 1: like all morning, I'm just like not even like, uh,

1391
01:11:54,000 --> 01:11:55,639
Speaker 1: can I buy you a coffee, my dear?

1392
01:11:55,840 --> 01:11:57,000
Speaker 2: Like right, it's just like.

1393
01:11:57,040 --> 01:11:59,880
Speaker 1: All Eagles parade, which I will say, my husband's very

1394
01:12:00,160 --> 01:12:03,400
Speaker 1: good husband in sense of like spoiling me a treaty,

1395
01:12:03,439 --> 01:12:03,840
Speaker 1: be special.

1396
01:12:03,920 --> 01:12:04,639
Speaker 2: But I was annoyed.

1397
01:12:05,000 --> 01:12:08,360
Speaker 1: And then after the parade we go to Wegman's and

1398
01:12:08,439 --> 01:12:10,200
Speaker 1: he's just like, why don't you stay in the car

1399
01:12:10,400 --> 01:12:13,080
Speaker 1: since it's cold out, and then comes out with like

1400
01:12:13,680 --> 01:12:17,679
Speaker 1: Macaroon's moose, two things of flowers. I was like Okay,

1401
01:12:17,920 --> 01:12:20,840
Speaker 1: I just I just needed like a coffee and a

1402
01:12:21,080 --> 01:12:23,960
Speaker 1: like small five dollars box of chocolates. I didn't need

1403
01:12:24,040 --> 01:12:27,120
Speaker 1: you to like fivey something crazy. But I sent you

1404
01:12:27,240 --> 01:12:30,080
Speaker 1: that funny picture of him outside the car door because

1405
01:12:30,080 --> 01:12:31,200
Speaker 1: I saw him walking up.

1406
01:12:31,200 --> 01:12:34,240
Speaker 2: With the flowers. That's just like he is an idiot.

1407
01:12:35,040 --> 01:12:38,120
Speaker 2: I know it's funny because that's and I sent you

1408
01:12:38,240 --> 01:12:40,439
Speaker 2: one back because I was in the kitchen in the

1409
01:12:40,520 --> 01:12:43,160
Speaker 2: morning and Gabe had gotten up before me, and I'm

1410
01:12:43,200 --> 01:12:46,400
Speaker 2: in the kitchen just whatever, cleaning up, and then I

1411
01:12:46,520 --> 01:12:48,720
Speaker 2: turn around and he comes in from the back door

1412
01:12:48,800 --> 01:12:51,120
Speaker 2: and he's kneeling in the kitchen with like two dozen

1413
01:12:51,160 --> 01:12:53,000
Speaker 2: of roses he's holding in his hand, and I'm like,

1414
01:12:53,960 --> 01:12:56,080
Speaker 2: and my first reaction is, let me get my phone

1415
01:12:56,120 --> 01:12:57,840
Speaker 2: and take a picture of this, because I don't think

1416
01:12:57,840 --> 01:12:59,880
Speaker 2: you've ever gotten on your knees. For me, I was

1417
01:13:00,080 --> 01:13:01,800
Speaker 2: just laughing so hard. And then he had a hard

1418
01:13:01,840 --> 01:13:04,479
Speaker 2: time getting up because he's old. It's just, oh my god.

1419
01:13:04,520 --> 01:13:06,040
Speaker 2: We were cracking up. But I was like, that was

1420
01:13:06,120 --> 01:13:09,080
Speaker 2: so nice. But we we have I think I said

1421
01:13:09,080 --> 01:13:11,040
Speaker 2: this last time that we have a tradition every year

1422
01:13:11,080 --> 01:13:14,479
Speaker 2: that we make Gabe like chocolate covered strawberries. Yeah, we

1423
01:13:15,000 --> 01:13:19,040
Speaker 2: did that, and so that was cool, but I don't know,

1424
01:13:19,360 --> 01:13:22,920
Speaker 2: I didn't really have any special dessert for Valentine's Day.

1425
01:13:23,600 --> 01:13:25,559
Speaker 2: Meat loaf.

1426
01:13:27,360 --> 01:13:31,120
Speaker 1: It's like ridiculous, Oh you made meat loaf. We had

1427
01:13:31,160 --> 01:13:33,200
Speaker 1: meat loaf too, Really.

1428
01:13:33,080 --> 01:13:33,599
Speaker 2: That's funny.

1429
01:13:33,720 --> 01:13:38,720
Speaker 1: Yeah, So yeah, I like Valentine's Day desserts because a

1430
01:13:38,720 --> 01:13:41,080
Speaker 1: lot of it are of raspberry themed, and I feel

1431
01:13:41,120 --> 01:13:44,120
Speaker 1: like not a lot of places. I think raspberry is

1432
01:13:44,200 --> 01:13:46,719
Speaker 1: definitely used in desserts, but not as often as it should.

1433
01:13:46,760 --> 01:13:48,120
Speaker 1: It's truly so delicious.

1434
01:13:48,240 --> 01:13:51,760
Speaker 2: Yeah, it is so, I mean the obvious. I told

1435
01:13:51,800 --> 01:13:53,479
Speaker 2: you that we went to the pub the other night

1436
01:13:53,560 --> 01:13:56,280
Speaker 2: for dinner. Yeah, and they have that dessert that's called

1437
01:13:56,360 --> 01:14:00,120
Speaker 2: peach melbat and it's like whatever peach melbat is in

1438
01:14:00,200 --> 01:14:02,400
Speaker 2: an ice cream and Gabe was just like, you got

1439
01:14:02,520 --> 01:14:04,040
Speaker 2: to figure out what this is. So he wants me

1440
01:14:04,160 --> 01:14:05,880
Speaker 2: to make it at home. And I looked it up

1441
01:14:05,920 --> 01:14:08,599
Speaker 2: and it looks like it's raspberry some kind of raspberry

1442
01:14:08,720 --> 01:14:12,639
Speaker 2: sauce mixed with the peaches. So oh, that's probably so delicious. Yeah,

1443
01:14:12,760 --> 01:14:13,360
Speaker 2: it really does.

1444
01:14:13,920 --> 01:14:16,800
Speaker 1: I mean, my obvious favorite Valentine's Day dessert is the

1445
01:14:16,880 --> 01:14:19,360
Speaker 1: brownie battered donut from Duncan, but I can't eat it,

1446
01:14:19,439 --> 01:14:20,840
Speaker 1: so I'll just buy it and eat the filling.

1447
01:14:20,840 --> 01:14:23,040
Speaker 2: Oh so I bought I forgot to tell you when

1448
01:14:23,040 --> 01:14:26,400
Speaker 2: you were here yesterday. Shit, I bought that brownie batter

1449
01:14:26,560 --> 01:14:30,320
Speaker 2: ice cream from I don't know what the brand was whatever,

1450
01:14:30,760 --> 01:14:33,439
Speaker 2: And there are chunks in it that taste good, but

1451
01:14:33,720 --> 01:14:36,080
Speaker 2: it's not. I don't know. I just thought it's just

1452
01:14:36,280 --> 01:14:39,200
Speaker 2: chocolate ice cream. It's like chocolate chip cookie dough ice cream.

1453
01:14:39,240 --> 01:14:41,400
Speaker 2: There's like balls of it in there. But it's good.

1454
01:14:42,479 --> 01:14:44,479
Speaker 2: It's good. But I wouldn't ever sit there and eat

1455
01:14:44,520 --> 01:14:48,080
Speaker 2: chocolate ice cream. Well I would, so all right, I

1456
01:14:48,160 --> 01:14:49,800
Speaker 2: know I wanted you to take it yesterday because I

1457
01:14:49,840 --> 01:14:52,200
Speaker 2: was like, I just I just was thinking that maybe

1458
01:14:52,280 --> 01:14:54,000
Speaker 2: the whole texture of the ice cream would have been

1459
01:14:54,080 --> 01:14:56,479
Speaker 2: like gritty and delicious, but it's not.

1460
01:14:57,160 --> 01:14:59,800
Speaker 1: After the kids made us those cinnamon rolls, which were

1461
01:14:59,840 --> 01:15:01,720
Speaker 1: really good, and then I don't know if you ended

1462
01:15:01,800 --> 01:15:03,960
Speaker 1: up seeing the coffee Lily had made me, but it

1463
01:15:04,120 --> 01:15:05,479
Speaker 1: was basically a heart attack.

1464
01:15:05,600 --> 01:15:07,240
Speaker 2: It was like you left.

1465
01:15:08,040 --> 01:15:11,400
Speaker 1: She made she fed the Starbucks iced coffee in the

1466
01:15:11,680 --> 01:15:13,800
Speaker 1: in the glass, and then she filled it to the

1467
01:15:13,960 --> 01:15:16,720
Speaker 1: top with like whole milk and then she made me

1468
01:15:16,840 --> 01:15:18,640
Speaker 1: cold foam too and put more of it.

1469
01:15:19,600 --> 01:15:23,280
Speaker 2: I know she Why was the little foam thing tampered with?

1470
01:15:24,600 --> 01:15:27,479
Speaker 1: It was basically the color of the coffee was basically

1471
01:15:27,840 --> 01:15:29,479
Speaker 1: it was a very light beige.

1472
01:15:30,560 --> 01:15:33,200
Speaker 2: It was probably delicious, actually it was delicious.

1473
01:15:33,520 --> 01:15:35,719
Speaker 1: Yeah. Other than that, I agree with you. Like chocolate

1474
01:15:35,720 --> 01:15:39,439
Speaker 1: covered strawberries are delicious. I had a little chocolate moose cup.

1475
01:15:39,720 --> 01:15:42,160
Speaker 1: I like all chocolates. I even like those really shitty

1476
01:15:42,400 --> 01:15:43,920
Speaker 1: boxed heart chocolates too.

1477
01:15:44,560 --> 01:15:47,240
Speaker 2: Oh yeah, like the one Pop Pop gets us. My

1478
01:15:47,360 --> 01:15:49,800
Speaker 2: dad's so cute he got he came over on the

1479
01:15:49,840 --> 01:15:52,360
Speaker 2: weekend and brought all of like me and all the

1480
01:15:52,439 --> 01:15:55,880
Speaker 2: girls these like what is it like Whitman's Yeah, he

1481
01:15:56,000 --> 01:16:00,519
Speaker 2: always does, like the ones from CBS. But they're so good, No,

1482
01:16:00,800 --> 01:16:04,040
Speaker 2: they really really are. Of course, the little piece of

1483
01:16:04,080 --> 01:16:07,479
Speaker 2: paper that comes with it does not always match up,

1484
01:16:07,600 --> 01:16:09,280
Speaker 2: so you know you have to stick your nail in

1485
01:16:09,360 --> 01:16:12,679
Speaker 2: the bottom to see exactly, like what's in each chocolate?

1486
01:16:13,120 --> 01:16:17,599
Speaker 1: Now I'll just bite all of them, yeah exactly. All right, guys, Well,

1487
01:16:17,640 --> 01:16:19,320
Speaker 1: thank you so much. If you have a story, please

1488
01:16:19,320 --> 01:16:22,040
Speaker 1: submit it to stories at mothernosdet dot com or shoot

1489
01:16:22,080 --> 01:16:23,440
Speaker 1: us a message on Instagram.

1490
01:16:23,840 --> 01:16:30,559
Speaker 2: So yeah, thank you for listening to Mother Nos Death.

1491
01:16:31,320 --> 01:16:35,000
Speaker 2: As a reminder, my training is as a pathologists assistant.

1492
01:16:35,800 --> 01:16:39,240
Speaker 2: I have a master's level education and specialize in anatomy

1493
01:16:39,280 --> 01:16:42,880
Speaker 2: and pathology education. I am not a doctor and I

1494
01:16:42,920 --> 01:16:46,759
Speaker 2: have not diagnosed or treated anyone dead or alive without

1495
01:16:46,800 --> 01:16:52,160
Speaker 2: the assistance of a licensed medical doctor. This show, my website,

1496
01:16:52,280 --> 01:16:55,599
Speaker 2: and social media accounts are designed to educate and inform

1497
01:16:55,720 --> 01:16:59,840
Speaker 2: people based on my experience working in pathology, so they

1498
01:16:59,840 --> 01:17:03,360
Speaker 2: can make healthier decisions regarding their life and well being.

1499
01:17:04,479 --> 01:17:07,320
Speaker 2: Always remember that science is changing every day and the

1500
01:17:07,400 --> 01:17:10,679
Speaker 2: opinions expressed in this episode are based on my knowledge

1501
01:17:10,720 --> 01:17:14,360
Speaker 2: of those subjects at the time of publication. If you

1502
01:17:14,439 --> 01:17:18,320
Speaker 2: are having a medical problem, have a medical question, or

1503
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Speaker 2: having a medical emergency, please contact your physician or visit

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Speaker 2: an urgent care center, emergency room, or hospital. Please rate, review,

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Speaker 2: and subscribe to Mother Knows Death on Apple, Spotify, YouTube,

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Speaker 2: or anywhere you get podcasts. Thanks