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

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Speaker 2: Hi.

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Speaker 1: Everyone welcome The Mother Knows Death. We have a lot

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Speaker 1: of great stories to cover with you guys this week.

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Speaker 1: Today we're going to start off with Gene Hackman's house,

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Speaker 1: you know, the one that him and his wife died in,

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Speaker 1: is up for sale. Then we have an update on

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Speaker 1: the Indiana Jones experience at Disney, and speaking of injuries

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Speaker 1: at theme parks, another person has died on a roller

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Speaker 1: coaster at Universal Studios. Then we'll talk about a really

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Speaker 1: crazy true crime case involving a child that killed his

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Speaker 1: father over a Nintendo switch. There is a lawsuit involving Pernuvo, which,

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Speaker 1: if you guys recall, is the company that Kim Kardashian

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Speaker 1: was endorsing, saying that they did elective full body MRIs.

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Speaker 1: And a man claims that there was something really huge

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Speaker 1: missed on his which in turn caused him to have

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Speaker 1: a near death experience. So we'll talk about that, and

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Speaker 1: a man who tried to board on a flight with

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Speaker 1: his dead wife. Will finish that up with your questions, comments,

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Speaker 1: and emails. All that and more on today's episode. So

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Speaker 1: I apologize to you guys, because obviously I'm sick. I

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Speaker 1: have two kids in my house that tested positive for

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Speaker 1: the flu despite the fact that they both had flu shots,

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Speaker 1: and now I have it. So there you go. But

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Speaker 1: the show must go on, so let's let's get started.

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Speaker 1: Gene Hackman, I'm like, I want to hear your thoughts

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Speaker 1: because I'm just so annoyed by this hold.

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Speaker 2: At first, I wouldn't say. When you recorded the More

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Speaker 2: the Monday's Morbid Minute yesterday, I knew. I knew I

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Speaker 2: was gonna mess this up. This is like, you know,

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Speaker 2: if we came up with the name six Shocking Stories,

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Speaker 2: were like, are we idiots?

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Speaker 3: Yeah, it all the time.

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Speaker 2: Anyway, when you said me the audio, I was like,

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Speaker 2: she definitely sounds off And I was like, are you sick?

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Speaker 2: And you said no. And then hours later you said

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Speaker 2: the Demigorgan's coming from and I'm like, are you hallucinating

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Speaker 2: or are you sick? But yeah, I can. It's funny

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Speaker 2: how I could tell just by the shift in your

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Speaker 2: voice from week to week. But yeah, anyway, So first

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Speaker 2: of all, I can't believe it's almost been a year

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Speaker 2: since they died. Gene Hackman and Betsy Arakawa. I could

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Speaker 2: never say her last name either. It was in February

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Speaker 2: last year. I feel like it was much sooner than that,

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Speaker 2: maybe because it comes up so often in conversation, it

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Speaker 2: hasn't seemed that long. But that's truly nuts. But yeah,

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Speaker 2: their Santa Fe home that they were found dead in

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Speaker 2: has now been listed for sale for over six million dollars.

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Speaker 2: I was interested in the price point because on the

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Speaker 2: article we referenced for the story, they were saying the

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Speaker 2: median house sale in that area was going for six

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Speaker 2: hundred thousand and this one's going for ten times as

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Speaker 2: much money. But I mean, again, they have a pretty

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Speaker 2: huge property and it's a custom build. They've lived there

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Speaker 2: for a couple decades, So what do you think about

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Speaker 2: the price point?

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Speaker 3: So what was it six point five million?

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Speaker 2: It's listed on It was six point two five And

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Speaker 2: at first I was I was looking into it if

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Speaker 2: it was listed as cheaper because of what happened there,

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Speaker 2: But it actually seems like astronomical for the area.

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Speaker 1: They well, they said that they are listing it cheaper

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Speaker 1: because they think that I mean, I don't think that

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Speaker 1: that's astronomical. Honestly, it's fifty three acres and the house

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Speaker 1: is thirteen thousand square feet, Like I don't even know

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Speaker 1: how many comps in that area are anywhere near that,

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Speaker 1: Like maybe like a house like mine would sell on

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Speaker 1: average for that much money, Like not this house, this

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Speaker 1: is this is a beautiful estate, I guess. So they

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Speaker 1: were saying that normally a house like this with some

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Speaker 1: one that's really like an A List actor, would sell

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Speaker 1: for high or just because the A List actor lived there.

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Speaker 1: But they said, oh, you know, we're just we're just

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Speaker 1: gonna base it priced on what we felt was a

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Speaker 1: fair market value. Well, why do you think they're doing that?

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Speaker 1: Because really, who wants to live there? I mean, I

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Speaker 1: know there's interest in like in sites where people died,

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Speaker 1: which I understand that, but this is actually like to

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Speaker 1: another level of not only just gross, but could potentially

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Speaker 1: make you sick as well.

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Speaker 2: Well. That was my favorite quote I pulled from the article,

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Speaker 2: which was, there will be some buyers that are just

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Speaker 2: adverse to purchasing a property where death has occurred. First

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Speaker 2: of all, if you're buying a house like you should,

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Speaker 2: especially an older one, obviously, you should maybe assume a

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Speaker 2: death has occurred there, whether it was a horrific commicide

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Speaker 2: or a natural death. There's been at least a couple

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Speaker 2: that have happened in my house whatever. But I think

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Speaker 2: most houses, especially older ones, you could say somebody has

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Speaker 2: probably died from old age or whatever in the house.

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Speaker 2: So get that out of your mind and get over it, basically, right.

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Speaker 2: But we know in this case that she died from hantavirus,

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Speaker 2: which stems from rodents, so like what exactly all with it?

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Speaker 1: So it's like, we know one hundred percent certain that

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Speaker 1: there are probably deer mice. They're a common vector in

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Speaker 1: that area of hantavirus living somewhere in that fifty three

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Speaker 1: acre estate or in or around their thirteen thousand square

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Speaker 1: foot home. That virus can infect people that are completely healthy.

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Speaker 1: So for me, it's just like that's kind of almost

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Speaker 1: a hot zone. I would stay away from that just

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Speaker 1: because you know it's there. Now it is all over

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Speaker 1: the place too, and people aren't getting sick in that area.

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Speaker 1: But it's just like, I don't know, It just kind

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Speaker 1: of freaks me out a little bit to know that

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Speaker 1: something that Betsy was doing on that property, whether she

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Speaker 1: was cleaning up mouse droppings or whatever, she was exposed

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Speaker 1: to the urine of one of these infect advice and

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Speaker 1: got the haunt of virus, and she was completely healthy

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Speaker 1: before she got it, and then she died. Furthermore, they

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Speaker 1: were both dead for a significant amount of time and

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Speaker 1: decomposing in that house, which is also just it's it's

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Speaker 1: juicy smelly, and I don't know. I mean, obviously they

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Speaker 1: cleaned it up, because I mean it's not in some

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Speaker 1: cases like that when a person decomposes, you're talking about

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Speaker 1: like cutting out sections of floor because you can't get

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Speaker 1: the smell out. So they've done something. They restaged the home,

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Speaker 1: all this stuff. I mean, the pictures of it are

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Speaker 1: absolutely gorgeous. Anybody would want the house, but I don't know.

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Speaker 1: The whole thing of it is just kind of like

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Speaker 1: every single time you go in that one room, what

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Speaker 1: you just be like, oh, there was a dead decomposing

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Speaker 1: body and he or in I don't know, and a

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Speaker 1: dog two died.

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Speaker 2: Like listen, I understand that I obviously learned recently that

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Speaker 2: somebody died in my house from alleged autoerotic exphectiation, which

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Speaker 2: doesn't make me feel good. So every time I go

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Speaker 2: in that space, yeah, it crosses my mind. But like

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Speaker 2: I think people do.

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Speaker 1: Die in house at least he died doing something that

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Speaker 1: he loved.

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Speaker 2: Well, yeah, and I don't even know if it's true

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Speaker 2: or not. It was like we're it on the street,

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Speaker 2: So I don't know. I tried to look it up.

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Speaker 2: I couldn't find any confirmed records of it, and anybody

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Speaker 2: that's lived here around that time is just like, we

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Speaker 2: don't talk about that. So I do think it was

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Speaker 2: maybe something along those lines. But yeah, I understand that.

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Speaker 2: I wonder I don't know about in New Mexico or

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Speaker 2: like in general real estate law, if you have to

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Speaker 2: disclose those Obviously everybody knows what happened in the house,

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Speaker 2: but I'm saying if this happened to a regular person

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Speaker 2: that died and was decomposing in the house for a

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Speaker 2: long period of time, I wonder if that has to

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Speaker 2: be disclosed, because I believe in New Jersey you only

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Speaker 2: have to disclose if a homicide or crime occurred in

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Speaker 2: a house within seven years.

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Speaker 1: I mean, I don't I feel like that could be

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Speaker 1: more of an issue because let's say, for example, someone

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Speaker 1: was going to someone's house to kill them because you know,

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Speaker 1: like in a homicide case, they're going there because they

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Speaker 1: hate this person.

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Speaker 3: If you know, you hear that time to time.

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Speaker 1: Like let's say, for example, a person buys a house

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Speaker 1: that like a prosecutor used to own, and then they

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Speaker 1: move into it, and then all of a sudden, some

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Speaker 1: person gets out of jail and wants revenge and they

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Speaker 1: think that that prosecutor still lives there, but really it's

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Speaker 1: someone else. I feel like something like that has happened

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Speaker 1: within the past couple of years, so it's like you

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Speaker 1: should be aware that there was a point where some

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Speaker 1: kind of criminal activity was happening, just because like, I've

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Speaker 1: been at this house now for thirteen years, and I

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Speaker 1: still get mail from people that used to live here,

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Speaker 1: So there is a chance that people, you know, think

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Speaker 1: that you are still at the house even if you're

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Speaker 1: not at the house, and people could show up. But

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Speaker 1: I just think a regular death is like whatever.

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Speaker 3: I think it's.

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Speaker 1: Funny because that happened to us once when we were

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Speaker 1: looking for a house. We really liked this one house,

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Speaker 1: and then we were outside and we were asking one

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Speaker 1: of the neighbors, like a house the neighborhood, and she

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Speaker 1: was just like, you know that the guy that lived

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Speaker 1: here died in that house, And I was like, okay, whatever,

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Speaker 1: and she was like no, like his dead body was

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Speaker 1: in that house. And I'm like, okay, Like people get

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Speaker 1: really freaked out about that. But it's just like my

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Speaker 1: house now was built in eighteen hundreds, like I'm sure

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Speaker 1: many people died here. There were probably kids born here too, right,

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Speaker 1: Like well, that's what I'm saying, and like a real

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Speaker 1: you have a house over one hundred years old, and

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Speaker 1: like sometimes old people just die in their house like

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Speaker 1: it just happens.

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Speaker 2: It's it's nothing to ferry it.

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Speaker 1: It happens to my next door I mean, it happened

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Speaker 1: in my next door neighbor. Like she she her wife

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Speaker 1: died at the at the house like that that it

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Speaker 1: just happens, and the medical examiner came and picked her

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Speaker 1: up and then they brought her to the funeral home

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Speaker 1: and that was.

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Speaker 2: That, Like people die, Like, but did your neighbor know

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Speaker 2: that when they bought that, That's what I'm wondering.

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Speaker 3: I don't know. I'm not thinking about that.

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Speaker 1: Because my neighbor Nicole is probably listening right now, so surprised.

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Speaker 1: But it was natural, right, So it's like nothing like

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Speaker 1: she just died like in her sleep or right around

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Speaker 1: that time when she tried to get up.

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Speaker 3: It's not It's just not that big of a deal yet.

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Speaker 2: That's how I feel about it too. Obviously people feel

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Speaker 2: the type of way about it, but I think if

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Speaker 2: you're buying an older house, it would be difficult to

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Speaker 2: find one where somebody didn't die in the house maybe

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Speaker 2: at some point in time.

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Speaker 1: Yeah, So I mean whatever. And I know there's there's

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Speaker 1: crime scene cleaning companies they're all over Instagram too, that

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Speaker 1: are that are cleaning up these decomposed bodies and they

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Speaker 1: do a great job. So that's not as much of

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Speaker 1: a concern for me as this whole like hantavirus thing.

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Speaker 1: It's just I feel like, you know, it's it's so

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Speaker 1: specific and there's only a small number of cases reported

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Speaker 1: a year, but like if you know a place where

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Speaker 1: it actually happened, I just personally would stay away from it.

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Speaker 2: Oh you don't mean when after this happened, the news

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Speaker 2: wasn't trying to fear Manker all of us that it

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Speaker 2: was like the next pandemic yet us. Yeah, I was

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Speaker 2: getting out of hand all right. Update in the Disney

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Speaker 2: Indiana Jones malfunction, So the guy who was hit with

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Speaker 2: the four hundred pounds. Rubber Ball is now revealing the

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Speaker 2: extent of his injuries, and it was actually pretty bad. Yeah.

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Speaker 1: So you know what's interesting When we posted our little

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Speaker 1: teaser of this episode on Instagram, I was surprised that

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Speaker 1: there were some people that commented and just said, like, yeah, right,

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Speaker 1: that ball wasn't four hundred pounds.

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Speaker 2: It was more like, you guys are idiots, why would

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Speaker 2: you think that?

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Speaker 3: Like all that.

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Speaker 1: But I'm just kind of like, the video is not

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Speaker 1: ai right. So if you just look at the man's response,

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Speaker 1: it like, there's no way that his body thrusted like

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Speaker 1: that if it was something light that hit him. Rubber

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Speaker 1: is also heavy, I don't, I know, it looks like

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Speaker 1: I know, like I guess what they're saying is, if

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Speaker 1: you look at it, it looks like it could be

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Speaker 1: like a giant pool toy or something, just because it's

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Speaker 1: but it's just not like once you see it hit

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Speaker 1: the guy, you're like, Okay, this was heavy. You could

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Speaker 1: just tell, of course. So so anyway, he broke his

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Speaker 1: frickin neck. He has two broken vertebral bones in his neck,

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Speaker 1: and that could cause I mean, that protects your very

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Speaker 1: essential and important spinal cord. So if that injury was

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Speaker 1: severe enough, that could have severed a part of his

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Speaker 1: spinal cord and he could have had either partial or

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Speaker 1: full paralysis, So that that's really serious. Now, one thing

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Speaker 1: I want to note about the article is that this

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Speaker 1: dude is like it looks very happy, go lucky, and

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Speaker 1: he's smiling, and I'm just like, yeah, man, like he

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Speaker 1: knows what's about to happen with him. Well, did you

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Speaker 1: not probably the best place to get injured like that?

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Speaker 2: Yeah? But did you notice it said his sister in

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Speaker 2: law set up a GoFundMe to support his wife and

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Speaker 2: his kids. And I'm like, this man has been an

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Speaker 2: employee of at least this ride or experience whatever it's

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Speaker 2: called technically for thirty years. And he said he just

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Speaker 2: he didn't even think about it before he did it.

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Speaker 2: He did it so the ball wouldn't hit the audience.

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Speaker 2: Disney should be kissing his ass.

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Speaker 3: For his heroic amption. I'm sure.

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Speaker 1: I'm sure that that will all come out. But they're

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Speaker 1: doing they you know, they have lawyers investigation and this,

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Speaker 1: that and the other. He's going to get some kind

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Speaker 1: of a settlement and I imagine it's going to be

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Speaker 1: pretty significant. But like in the meantime, if he was

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Speaker 1: just you know, an average paid employee. He needs money,

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Speaker 1: and like, honestly, like anytime someone gets anything happens to

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Speaker 1: any person nowadays, it's just like an excuse to make

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Speaker 1: a GoFundMe for them, right, So, like it's up to

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Speaker 1: as of this morning, it was up to like eleven

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Speaker 1: grand So I mean, good for it. I guess I

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Speaker 1: wonder how they're gonna alter the I hate that it's

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Speaker 1: not technically a ride.

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Speaker 2: I'm just gonna call it a ride. Everybody knows what

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Speaker 2: I mean. I wonder how.

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Speaker 3: They're gonna alter their experience.

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Speaker 2: It's it's a show, but I guess it's a show.

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Speaker 1: Technically it's a spectacular stunt show.

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Speaker 2: I wonder if they're gonna either put like some type

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Speaker 2: of barrier up on the path it rolls down, or

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Speaker 2: if they're gonna put some type of barrier in front

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Speaker 2: of the audience, you know what I mean. So if

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Speaker 2: it happens again, I just can't believe this has never

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Speaker 2: happened in decades, that the thing has never gone off track,

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Speaker 2: because it looked like it happened real easy.

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Speaker 3: Yeah, I don't, I don't.

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Speaker 2: Louis thisss.

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Speaker 1: I know that's my brother's favorite ride since he was

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Speaker 1: a little kid.

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Speaker 2: All right.

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Speaker 1: So in other news at amusement parks, we have another death,

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Speaker 1: this time at Universal Studios.

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Speaker 2: Yeah, so as seventy year old woman died while riding

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Speaker 2: one of our favorite roller coasters ever, which I probably

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Speaker 2: haven't been on in fifteen years. So I don't know

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Speaker 2: if it's still good or not. Put the Revenge of

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Speaker 2: the Mummy.

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Speaker 1: Roller coast fifteen years. I feel like it's like twenty

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Speaker 1: years yeah.

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Speaker 2: Probably. Why did we go to Universal last?

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Speaker 3: I feel like I.

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Speaker 1: Feel like we went who did we even go with?

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Speaker 1: Did we go with some of my classmates or was

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Speaker 1: it even before then? Oh no, I'm serious, it was

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Speaker 1: like twenty years ago. Didn't we go with like Annie

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Speaker 1: and Deity or something and Louis or something.

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Speaker 3: I remember.

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Speaker 2: I feel like I wasn't. Yeah I had to be.

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Speaker 2: I feel like I wasn't like a little little kid,

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Speaker 2: but I might have been Lilian's age where around her age.

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Speaker 1: Yeah, it's been a while, but yeah that I thought

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Speaker 1: that years ago. I just remember thinking that ride was cool,

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Speaker 1: and we went on at a bunch of times because

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Speaker 1: there was no one there and somehow we were able

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Speaker 1: to go on a bunch. But so they still haven't

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Speaker 1: said what happened to this lady. But she was seventy

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Speaker 1: years old, So like a part of me is just like,

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Speaker 1: if you're older, especially if you feel good, you shouldn't

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Speaker 1: have to not do stuff Like if you're seventy and

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Speaker 1: you're trying to have fun in your life and you

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Speaker 1: want to go on a roller coaster, go on a

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Speaker 1: roller coaster. But I guess you just need to know

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Speaker 1: when you go on rides that accelerate like that, if

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Speaker 1: you have any kind of underlying especially like a cardiovascular

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Speaker 1: thing where if you get too excited, it could cause

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Speaker 1: your heart to have like an arrhythmia and you could

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Speaker 1: basically have a heart attack. Or if you have a

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Speaker 1: cardiovascular thing where there's a vessel that's just like about

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Speaker 1: to burst and it just needs the right amount of

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Speaker 1: force to cause it to do that, it's a chance

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Speaker 1: you're taking. And we talked about this a few months ago.

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Speaker 1: We had this one that I actually wrote about in

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Speaker 1: the grocer room. I did a forensic Friday on it

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Speaker 1: back in December for a guy who also died on

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Speaker 1: a ride at Universal, and here he was significantly younger.

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Speaker 1: But if you remember, he was in a wheelchair, and

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Speaker 1: he had a history of spinal hardware put in and

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Speaker 1: also a broken femur that was repaired, so his skeleton

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Speaker 1: was not stable. And I believe that that's how they

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Speaker 1: said that the death was accidental and it wasn't on

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Speaker 1: the ride at all, So a person like him should

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Speaker 1: absolutely have not been on the ride. And we'll get

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Speaker 1: more information with this woman. I mean, like, when you're seventy,

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Speaker 1: you could be completely healthy, but you could also have

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Speaker 1: a history of cardiovascular disease, diabetes, whatever, and maybe she

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Speaker 1: shouldn't have went on the ride. They didn't even say

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Speaker 1: if it was like natural or accidental or anything.

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Speaker 2: So yeah, and I mean, I guess what I don't

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Speaker 2: really like about this is we're just finding out about

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Speaker 2: this now and it happened back in November. Because they're

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Speaker 2: saying the Florida Department of Agriculture and Consumer Services list

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Speaker 2: incidents that occur at amusement parks that employ their own

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Speaker 2: full time safety and must self report incidents as they

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Speaker 2: are exempt from state inspections, and then the incidents are

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Speaker 2: broken down on a quarterly basis. So are there other

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Speaker 2: incidents not getting reported because they're self reported. I don't

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Speaker 2: really like that these are exempt from state inspections. I know,

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Speaker 2: I'm sure so I'd hear about it in Florida all

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Speaker 2: the time. I Mean, the worst one ever was that

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Speaker 2: that kid that went in that I don't know what

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Speaker 2: you would call that, like a free fall. I don't

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Speaker 2: know the exact name of that ride, but the the

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Speaker 2: kid that was significantly overweight and shouldn't have been on

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Speaker 2: it in the first place.

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Speaker 1: Because the hardest terrible. That was so terrible. God, that

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Speaker 1: video is so it's just so so terrible. I am

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Speaker 1: such a crazy person when when the kids go on rides,

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Speaker 1: like I just I'm so scared because half of the time,

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Speaker 1: and maybe this is a false sense of security, but

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Speaker 1: I feel like at Disney they just hire people that

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Speaker 1: are a little bit more like interested in doing the

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Speaker 1: rides because they know how important it is the safety

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Speaker 1: of it. But like at the Boardwalk, for example, everyone's

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Speaker 1: high all the time and they're like fifteen years old,

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Speaker 1: you know, they're just like and some of those rides,

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Speaker 1: I mean, they're not as extreme as something like the

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Speaker 1: Mummy sometimes, but like if they fell off of it,

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Speaker 1: they could get significantly her or killed. It just scares

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Speaker 1: the shit out of me.

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Speaker 2: Well, I encourage everybody to read both our Disney and

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Speaker 2: six Flags high Profile death to sections because you will

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Speaker 2: see there is a very distinct difference between how the

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Speaker 2: two parks handle accidents and the type of accidents that

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Speaker 2: occur between the two.

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Speaker 1: Oh yeah, that fire at six Flags, Geese, that was bad.

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Speaker 2: This episode is brought to you by the Gross Room guys.

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Speaker 1: This week's high profile death dissection is actually a story

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Speaker 1: we talked about in the news last week, which was

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Speaker 1: a woman that was married and then she found out

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Speaker 1: that she was being poisoned with lead and it turns

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Speaker 1: out that it was her husband. So in that death dissection,

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Speaker 1: we go all through what would have happened in the hospital,

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Speaker 1: from the time she got here there and how they

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Speaker 1: were able to diagnose that, what they're looking for, what

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Speaker 1: the treatment is for all of that, and just the

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Speaker 1: whole background behind it. It's really a disturbing case. Her

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Speaker 1: name is Hannah Petty. And then we have a really

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Speaker 1: fun post about causes of death in the sixteen hundreds.

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Speaker 1: Did you get to check that out?

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Speaker 2: Yeah?

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Speaker 1: Ray was like death Planet. Yeah, a frightened like all that.

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Speaker 1: I was like, oh, we need to make some T

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Speaker 1: shirts with these are pretty funny. And then our funeral

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Speaker 1: Friday this week was about post mortem grooming, so getting

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Speaker 1: your nails and your hair did after you die. So

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Speaker 1: all that and more in the Gross Room.

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Speaker 2: Head over to the grossroom dot com now to sign up.

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Speaker 1: Okay, this I hate hearing stories about little kids like

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Speaker 1: wanting to kill people. It's just so disturbing to me

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Speaker 1: that we hear this from time to time, just knowing

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Speaker 1: kids that are around this age, thinking like, how is

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Speaker 1: a kid this hateful? And I mean the biggest case

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Speaker 1: I could think of in recent memory of us covering

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Speaker 1: on this show is that six year old or even

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Speaker 1: five year old at the time that shot his first

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Speaker 1: grade teacher.

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Speaker 2: Oh yeah, You're just like like what I really would

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Speaker 2: like to just talk to a psycho a psychologist about

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Speaker 2: this and just see like, what is it about that

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Speaker 2: kid that makes that kid like that, because it's just

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Speaker 2: so abnormal from most other children that age. Well, let's

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Speaker 2: get into this one. This is disturbing all around. So

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Speaker 2: an eleven year old boy has been charged with homicide

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Speaker 2: after his father took away his Nintendo switch and after

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Speaker 2: he was looking for it on his birthday. He came

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Speaker 2: across a revolver and decided he was gonna shoot his

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Speaker 2: dad in the head. Yeah.

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Speaker 3: I mean, so the mom.

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Speaker 1: The mom wakes up to this loud noise and she

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Speaker 1: doesn't know what's going on because it's dark, and then

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Speaker 1: she hears something that sounds like water dripping and turns

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Speaker 1: on the lights and sees that it's blood in her

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Speaker 1: husband is laying there bleeding out.

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Speaker 3: Jesus Christ.

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Speaker 2: I mean, this is like one of these examples of

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Speaker 2: you hear about this video game being taken away. They

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Speaker 2: didn't even really get into why the game was taken

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Speaker 2: from him to begin with, but I guess, but who

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Speaker 2: cares exactly. It doesn't matter why the game was taken

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Speaker 2: away with. The kid should not be getting so angry

438
00:22:48,119 --> 00:22:50,560
Speaker 2: from that that this is the result of it. But

439
00:22:50,920 --> 00:22:53,920
Speaker 2: they're saying that it was the day of his eleventh birthday,

440
00:22:54,240 --> 00:22:56,280
Speaker 2: so he didn't have the switch. It had been taken

441
00:22:56,359 --> 00:22:58,000
Speaker 2: from him. I don't know if it was that day

442
00:22:58,080 --> 00:23:01,080
Speaker 2: or prior or whatever, but there's before they went to bed,

443
00:23:01,080 --> 00:23:05,080
Speaker 2: they sang happy birthday to him. Everything seemed okay. So

444
00:23:05,119 --> 00:23:08,000
Speaker 2: he's looking for the Nintendo switch, and he's also getting

445
00:23:08,080 --> 00:23:10,560
Speaker 2: He also later admitted that he got angry that they

446
00:23:10,600 --> 00:23:13,159
Speaker 2: made him go to bed, So he's looking for the

447
00:23:13,200 --> 00:23:15,760
Speaker 2: switch and sees there's a safe in the house and

448
00:23:15,800 --> 00:23:18,080
Speaker 2: thinks that the switch is in the safe, So he

449
00:23:18,160 --> 00:23:20,520
Speaker 2: ends up finding the keys to the safe, goes in there,

450
00:23:20,600 --> 00:23:22,840
Speaker 2: finds the gun, and then just says he was so

451
00:23:22,960 --> 00:23:25,119
Speaker 2: angry that he didn't and he didn't even think about

452
00:23:25,440 --> 00:23:28,920
Speaker 2: the consequences of what could potentially happen, which is very

453
00:23:28,960 --> 00:23:32,040
Speaker 2: concerning and I hate to be like this, but I

454
00:23:32,080 --> 00:23:35,480
Speaker 2: also have some criticism for the parents for allowing access

455
00:23:35,520 --> 00:23:36,320
Speaker 2: into the safe that.

456
00:23:36,320 --> 00:23:37,520
Speaker 3: Easily for young kid.

457
00:23:39,040 --> 00:23:41,760
Speaker 1: I just think that once the investigation comes out with this,

458
00:23:41,840 --> 00:23:44,280
Speaker 1: there's just going to be more to the story. There

459
00:23:44,359 --> 00:23:47,959
Speaker 1: has to be, I mean, and maybe I'm just being

460
00:23:48,040 --> 00:23:51,320
Speaker 1: naive by saying this, but I feel like I feel

461
00:23:51,320 --> 00:23:53,719
Speaker 1: like if my kids found a gun, they wouldn't know

462
00:23:53,800 --> 00:23:56,760
Speaker 1: how to just like pick it up and use it.

463
00:23:58,520 --> 00:23:59,600
Speaker 2: Yeah, exactly easily.

464
00:24:00,000 --> 00:24:03,280
Speaker 1: The gun is I fired several different kinds of guns,

465
00:24:03,280 --> 00:24:07,000
Speaker 1: and they're not very easy to do. Act Like, I

466
00:24:07,040 --> 00:24:09,280
Speaker 1: know that it can be if it's if it's loaded

467
00:24:09,320 --> 00:24:13,480
Speaker 1: and it's just like ready to go, But I mean, so, yeah,

468
00:24:13,560 --> 00:24:15,159
Speaker 1: like I know that you're like, I don't want to

469
00:24:15,160 --> 00:24:17,720
Speaker 1: blame the parents, but you one hundred percent I don't care,

470
00:24:17,800 --> 00:24:19,720
Speaker 1: Like I one hundred percent blame the parents. You can't

471
00:24:19,760 --> 00:24:23,240
Speaker 1: have a firearm in your house that's not away from

472
00:24:23,359 --> 00:24:27,199
Speaker 1: the children. Like that literally would not have happened kids.

473
00:24:28,000 --> 00:24:31,000
Speaker 1: I mean, kids get pissed off. They do, It's normal,

474
00:24:31,840 --> 00:24:35,440
Speaker 1: and they just shouldn't even have had access to anything

475
00:24:35,560 --> 00:24:35,840
Speaker 1: like that.

476
00:24:36,480 --> 00:24:39,000
Speaker 3: But I feel like there's gonna be a little.

477
00:24:38,760 --> 00:24:41,639
Speaker 1: Bit more to the story because didn't they say in

478
00:24:41,680 --> 00:24:44,560
Speaker 1: the article that the kid had a like a bruise

479
00:24:44,680 --> 00:24:46,920
Speaker 1: on his face and a laceration or something.

480
00:24:47,840 --> 00:24:51,080
Speaker 2: Yeah, and they didn't really get in detail about what

481
00:24:51,119 --> 00:24:53,639
Speaker 2: that was about. Also, I want to point out, like

482
00:24:54,200 --> 00:24:56,399
Speaker 2: he used a revolver, which you could argue was one

483
00:24:56,440 --> 00:24:58,880
Speaker 2: of the easier guns to fire, right, but a why

484
00:24:58,960 --> 00:24:59,760
Speaker 2: was it?

485
00:24:59,440 --> 00:25:00,960
Speaker 1: What was so it was loaded?

486
00:25:01,000 --> 00:25:03,120
Speaker 2: Though? Like was it loaded or did he know how

487
00:25:03,119 --> 00:25:07,040
Speaker 2: to loaded? Like exactly, there's you know, there's in our

488
00:25:07,080 --> 00:25:11,000
Speaker 2: area junior shooting range for kids can go. You know,

489
00:25:11,080 --> 00:25:13,919
Speaker 2: it doesn't mean all of them are murderers, but some children,

490
00:25:14,119 --> 00:25:17,400
Speaker 2: especially if they're parents or family members, are hunting. They're

491
00:25:17,440 --> 00:25:19,240
Speaker 2: interested in it and they learn at a young age

492
00:25:19,280 --> 00:25:21,640
Speaker 2: how to do it, so like was it loaded? Did

493
00:25:21,640 --> 00:25:24,480
Speaker 2: he know how to load it? The thing that's concerning

494
00:25:24,520 --> 00:25:26,800
Speaker 2: for me is this revolver seemed to have a hammer,

495
00:25:26,840 --> 00:25:29,159
Speaker 2: which he was well enough aware that he had to

496
00:25:29,160 --> 00:25:31,080
Speaker 2: pull it back to fire the guns.

497
00:25:31,359 --> 00:25:34,040
Speaker 1: That's what I'm saying, Like, there's just I feel like

498
00:25:34,080 --> 00:25:40,600
Speaker 1: this isn't his first experience with this gun. And you know,

499
00:25:40,840 --> 00:25:44,200
Speaker 1: like I don't know. I take my kid's iPads away sometimes,

500
00:25:44,240 --> 00:25:46,040
Speaker 1: like why would you put it in a seat? You know,

501
00:25:46,119 --> 00:25:49,040
Speaker 1: like why is the kid really why does the kid

502
00:25:49,080 --> 00:25:52,560
Speaker 1: even know that there's a safe? Like that's something when

503
00:25:52,600 --> 00:25:55,000
Speaker 1: you have a weapon like that, that's something that should

504
00:25:55,119 --> 00:25:57,640
Speaker 1: just exist that your child doesn't even know that it's

505
00:25:57,640 --> 00:25:59,320
Speaker 1: in the house. They don't know it's in the house.

506
00:25:59,359 --> 00:26:02,280
Speaker 1: They don't know because sometimes if you say to a kid, like, oh,

507
00:26:02,359 --> 00:26:04,680
Speaker 1: don't touch this, this is don't ever use the key,

508
00:26:04,760 --> 00:26:08,760
Speaker 1: like that's exactly what they used, they would want to do.

509
00:26:09,640 --> 00:26:12,760
Speaker 1: But like I we grew up around hunters and guns,

510
00:26:12,760 --> 00:26:16,320
Speaker 1: and I feel like it was an unspoken you just

511
00:26:16,440 --> 00:26:22,320
Speaker 1: know you don't touch them. So but but like that

512
00:26:22,320 --> 00:26:24,840
Speaker 1: that doesn't work with kids, It works with you because

513
00:26:24,880 --> 00:26:27,840
Speaker 1: you follow rules, but like we used to. We used

514
00:26:27,880 --> 00:26:29,640
Speaker 1: to be a nanny and Pop's basement and they were

515
00:26:29,680 --> 00:26:32,359
Speaker 1: locked up in the in the case, but like we

516
00:26:32,400 --> 00:26:34,159
Speaker 1: would look around the basement to try to find the

517
00:26:34,200 --> 00:26:36,280
Speaker 1: cave for it, just just because they told us not

518
00:26:36,359 --> 00:26:40,200
Speaker 1: to like this, This is what children do, right, It's

519
00:26:40,280 --> 00:26:43,320
Speaker 1: just like you you have to just assume that every

520
00:26:43,400 --> 00:26:46,040
Speaker 1: kid is going to not listen to you, and that

521
00:26:46,119 --> 00:26:50,520
Speaker 1: should be there's child proof safe that sometimes you have

522
00:26:50,560 --> 00:26:52,520
Speaker 1: to like use your fingerprint to open it or something

523
00:26:52,600 --> 00:26:56,000
Speaker 1: like that. It's just completely unacceptable that that was even

524
00:26:56,080 --> 00:27:00,439
Speaker 1: in the house. But so this kid is it was

525
00:27:00,480 --> 00:27:01,880
Speaker 1: adopted correct.

526
00:27:01,800 --> 00:27:03,199
Speaker 2: Yeah, in tw twenty eighteen.

527
00:27:03,560 --> 00:27:07,520
Speaker 1: Okay, so that's another thing like that, So that kid

528
00:27:07,560 --> 00:27:12,960
Speaker 1: wasn't adopted as a baby. No, he was like three

529
00:27:13,119 --> 00:27:17,240
Speaker 1: ish when he was adopted already. So that's another thing

530
00:27:17,280 --> 00:27:20,800
Speaker 1: to take into consideration, is like what was that kid's

531
00:27:20,880 --> 00:27:22,960
Speaker 1: life for the first three years of his life?

532
00:27:23,000 --> 00:27:24,960
Speaker 3: Where was he how was he treated?

533
00:27:25,320 --> 00:27:27,320
Speaker 2: Yeah, like did he have pre existing trauma?

534
00:27:27,800 --> 00:27:30,119
Speaker 1: Because I mean, like it's possible that they had the

535
00:27:30,200 --> 00:27:33,760
Speaker 1: kid from the time it was an infant because of

536
00:27:33,920 --> 00:27:36,680
Speaker 1: like a foster care situation and they finally made the adoption.

537
00:27:36,760 --> 00:27:40,240
Speaker 1: We don't really know, but it's just an interesting thing

538
00:27:40,359 --> 00:27:43,920
Speaker 1: to note and talk about that potentially this kid had

539
00:27:44,600 --> 00:27:47,840
Speaker 1: a lot of negative experiences prior to even getting in

540
00:27:48,520 --> 00:27:50,400
Speaker 1: the care of this family.

541
00:27:50,840 --> 00:27:53,359
Speaker 2: Well, it's just worrisome in general that a child is

542
00:27:53,400 --> 00:27:56,760
Speaker 2: getting that angry that they are seeking to hurt somebody

543
00:27:56,800 --> 00:27:59,479
Speaker 2: as a response to the anger. Kids get angry all

544
00:27:59,520 --> 00:28:01,760
Speaker 2: the time. It doesn't mean they want to hurt somebody.

545
00:28:03,040 --> 00:28:05,760
Speaker 1: Yeah, but I don't know, it's just a hard age

546
00:28:05,800 --> 00:28:09,640
Speaker 1: because they're so young. Like you have kids that they

547
00:28:09,680 --> 00:28:11,760
Speaker 1: get in a fight and then they they their first

548
00:28:11,800 --> 00:28:13,560
Speaker 1: instinct is like hit somebody back.

549
00:28:13,680 --> 00:28:17,360
Speaker 3: It's just like they when when you're an adult you I'll.

550
00:28:17,160 --> 00:28:19,800
Speaker 1: Say you usually because most adults, like when they get pissed,

551
00:28:19,800 --> 00:28:22,880
Speaker 1: they don't want to hit somebody. But it's clearly happens

552
00:28:23,480 --> 00:28:25,560
Speaker 1: in abusive relationships and stuff like that.

553
00:28:26,119 --> 00:28:28,480
Speaker 3: So the impulsivity of.

554
00:28:28,359 --> 00:28:31,800
Speaker 1: Being angry isn't as much of a concern to me

555
00:28:32,080 --> 00:28:36,240
Speaker 1: as because I don't really think an eleven year old,

556
00:28:36,280 --> 00:28:39,120
Speaker 1: although they do, they do, they are starting to learn

557
00:28:39,520 --> 00:28:41,520
Speaker 1: right from wrong and all of that stuff. I just

558
00:28:41,560 --> 00:28:47,320
Speaker 1: don't really think they quite understand the full impact of

559
00:28:47,400 --> 00:28:50,800
Speaker 1: things like that or or how that works. Like a

560
00:28:50,880 --> 00:28:55,960
Speaker 1: child just doesn't really understand that completely. So I mean

561
00:28:56,160 --> 00:28:57,680
Speaker 1: when you have a kid of this age, it was

562
00:28:57,720 --> 00:28:59,680
Speaker 1: the same. It was even worse with the six year

563
00:28:59,680 --> 00:29:02,080
Speaker 1: old that the teacher. It's just like, what are you

564
00:29:02,160 --> 00:29:05,440
Speaker 1: gonna put them in jail? I mean, like Luchi is

565
00:29:05,480 --> 00:29:09,480
Speaker 1: eleven years old, she doesn't she couldn't live on her own,

566
00:29:09,920 --> 00:29:12,120
Speaker 1: you know what I mean, Like she knows right from wrong,

567
00:29:12,160 --> 00:29:14,040
Speaker 1: is she's starting to get to that point, but like

568
00:29:15,480 --> 00:29:18,400
Speaker 1: she couldn't just she's not an adult. She couldn't go

569
00:29:18,480 --> 00:29:20,520
Speaker 1: out and like get a credit card and drive a car,

570
00:29:20,600 --> 00:29:23,480
Speaker 1: and she doesn't know how to be an adult, you

571
00:29:23,520 --> 00:29:24,000
Speaker 1: know what I mean.

572
00:29:24,080 --> 00:29:26,000
Speaker 3: So it's just like, what do you do with these kids?

573
00:29:26,440 --> 00:29:26,560
Speaker 1: Well?

574
00:29:26,640 --> 00:29:28,920
Speaker 2: Yeah, and I feel like that's maybe where the homicide

575
00:29:29,080 --> 00:29:31,400
Speaker 2: charge is stemming from it. I don't know if he's

576
00:29:31,400 --> 00:29:34,600
Speaker 2: gonna get fried as an adult, which would be crazy

577
00:29:34,920 --> 00:29:37,480
Speaker 2: because he's eleven years old. But at the same time,

578
00:29:37,520 --> 00:29:40,400
Speaker 2: like we're just kind of missing information, Like we know

579
00:29:40,520 --> 00:29:42,720
Speaker 2: from this article he knew enough to pull the hammer

580
00:29:42,760 --> 00:29:45,000
Speaker 2: back to fire the gun, but did he load the gun?

581
00:29:45,560 --> 00:29:48,200
Speaker 2: How familiar was he with it? Did his dad show

582
00:29:48,200 --> 00:29:50,040
Speaker 2: it was he sneaking in the safe all of the

583
00:29:50,120 --> 00:29:51,800
Speaker 2: time and playing around with it.

584
00:29:52,080 --> 00:29:53,280
Speaker 3: We just really don't know.

585
00:29:54,760 --> 00:29:58,400
Speaker 1: Okay, let's get into this Pernuva case. So a man

586
00:29:58,520 --> 00:30:02,040
Speaker 1: is suing the health care company Pernuvo after he paid

587
00:30:02,040 --> 00:30:04,560
Speaker 1: twenty five hundred dollars for a full body scan and

588
00:30:04,680 --> 00:30:07,240
Speaker 1: was told he was all clear, only to have a

589
00:30:07,240 --> 00:30:11,400
Speaker 1: debilitating stroke a couple months later. All right, So we

590
00:30:11,520 --> 00:30:14,000
Speaker 1: did talk about this on this show, how it was

591
00:30:14,080 --> 00:30:18,040
Speaker 1: really weird that some high list celebrities are promoting this thing.

592
00:30:18,160 --> 00:30:20,920
Speaker 1: It's twenty five hundred dollars to get a full body scan,

593
00:30:22,280 --> 00:30:26,280
Speaker 1: but that price doesn't just include going in this machine

594
00:30:26,320 --> 00:30:30,960
Speaker 1: and getting the scan, because the MRI machine doesn't give

595
00:30:31,000 --> 00:30:34,160
Speaker 1: you results. There's an actual radiologist that needs to look

596
00:30:34,200 --> 00:30:37,360
Speaker 1: at that, and that's a lot for them to look

597
00:30:37,400 --> 00:30:40,280
Speaker 1: at every square inch of a human body all of

598
00:30:40,320 --> 00:30:41,719
Speaker 1: the I don't know if you've ever seen what an

599
00:30:41,800 --> 00:30:42,560
Speaker 1: MRI looks like.

600
00:30:42,640 --> 00:30:44,960
Speaker 3: But they take multiple it's.

601
00:30:44,760 --> 00:30:46,720
Speaker 1: Almost like they're doing a dissection of you.

602
00:30:46,680 --> 00:30:47,640
Speaker 3: While you're still alive.

603
00:30:47,720 --> 00:30:49,720
Speaker 1: Like they just take slices and look at it from

604
00:30:49,760 --> 00:30:54,320
Speaker 1: all different levels to see how your your organs look,

605
00:30:54,360 --> 00:30:59,600
Speaker 1: your arteries look, and things like that. So they they

606
00:30:59,640 --> 00:31:04,520
Speaker 1: missed apparently on his scan of his brain, the cerebral

607
00:31:04,680 --> 00:31:10,160
Speaker 1: arteries that are bringing oxygen from the heart to the brain,

608
00:31:10,880 --> 00:31:14,600
Speaker 1: one of them had such significant I guess in hindsight,

609
00:31:14,640 --> 00:31:16,440
Speaker 1: when they went back and looked at it, it had

610
00:31:16,480 --> 00:31:21,200
Speaker 1: such significant narrowing that in a real life situation, like

611
00:31:21,320 --> 00:31:23,120
Speaker 1: let's say you just had that done at your doctor

612
00:31:23,160 --> 00:31:25,480
Speaker 1: and they scanned your brain, they would be like, we

613
00:31:25,520 --> 00:31:27,760
Speaker 1: need to do further work up because you're at risk

614
00:31:27,800 --> 00:31:31,040
Speaker 1: of a stroke. But they saw that or did it

615
00:31:31,160 --> 00:31:33,680
Speaker 1: they didn't see it, and gave him a clear bill

616
00:31:33,720 --> 00:31:36,520
Speaker 1: of health. And then eight months later he had a

617
00:31:36,560 --> 00:31:40,160
Speaker 1: pretty severe stroke where he has paralysis at least on

618
00:31:40,520 --> 00:31:43,440
Speaker 1: certain parts of the left side of his body. So

619
00:31:45,360 --> 00:31:50,479
Speaker 1: this brings up an interesting question like how liable is

620
00:31:50,560 --> 00:31:55,560
Speaker 1: this company because it you know, when your insurance isn't

621
00:31:55,560 --> 00:31:58,240
Speaker 1: paying for this, you're spending twenty five hundred dollars or

622
00:31:58,280 --> 00:32:01,520
Speaker 1: your own money for this additional coquur peace of mind,

623
00:32:02,400 --> 00:32:07,000
Speaker 1: and you're told that everything looks good, but like everything

624
00:32:07,160 --> 00:32:08,040
Speaker 1: wasn't good for him.

625
00:32:08,840 --> 00:32:11,120
Speaker 2: Well, I wanted to point that out too, because an

626
00:32:11,160 --> 00:32:14,880
Speaker 2: interesting detail is that he was thirty five years old

627
00:32:15,800 --> 00:32:19,640
Speaker 2: and I am only four years away from that age.

628
00:32:19,680 --> 00:32:22,080
Speaker 2: And I don't feel like in the next five even

629
00:32:22,160 --> 00:32:24,760
Speaker 2: ten years that I would need to get a full

630
00:32:25,080 --> 00:32:29,360
Speaker 2: preventative scan on my body to make sure that nothing

631
00:32:29,480 --> 00:32:31,920
Speaker 2: was wrong. And then that he had the stroke so

632
00:32:32,200 --> 00:32:38,520
Speaker 2: young is kind of odd to me, don't you think, Well, like,

633
00:32:38,600 --> 00:32:40,720
Speaker 2: did he I guess what I'm getting at is, did

634
00:32:40,760 --> 00:32:43,640
Speaker 2: he know that he had a pre existing condition or

635
00:32:43,640 --> 00:32:46,000
Speaker 2: something and that's why he got the scan? No.

636
00:32:46,200 --> 00:32:48,200
Speaker 1: I just think that people just want to know what's

637
00:32:48,240 --> 00:32:51,320
Speaker 1: going on inside their body, Like if you I mean,

638
00:32:52,000 --> 00:32:54,400
Speaker 1: there's lots of people that have millions of dollars and

639
00:32:54,440 --> 00:32:56,760
Speaker 1: it's like twenty five hundred dollars is like twenty five

640
00:32:56,800 --> 00:32:59,960
Speaker 1: dollars to normal people. It's nothing like, Oh, I'll just

641
00:33:00,120 --> 00:33:02,360
Speaker 1: get this done and see like I always have this

642
00:33:02,440 --> 00:33:04,960
Speaker 1: weird headache or I have I always have this like

643
00:33:05,920 --> 00:33:08,680
Speaker 1: pain in my leg. Is there anything there? I mean,

644
00:33:08,720 --> 00:33:14,080
Speaker 1: why not? Right? Like, I think most people would want

645
00:33:14,080 --> 00:33:17,760
Speaker 1: to do it just because there's a potential you can

646
00:33:17,840 --> 00:33:21,000
Speaker 1: see a small tumor or something like that. So I

647
00:33:21,040 --> 00:33:23,640
Speaker 1: don't think he knew. He had this scan done and

648
00:33:23,760 --> 00:33:26,440
Speaker 1: eight months later he had this stroke. So they compared

649
00:33:26,520 --> 00:33:30,240
Speaker 1: the pernuva scan with the scan from when he had

650
00:33:30,280 --> 00:33:32,680
Speaker 1: his stroke, So a blood clot got stuck in that

651
00:33:32,720 --> 00:33:36,959
Speaker 1: air that area where the cerebral artery was narrowed, and

652
00:33:37,000 --> 00:33:41,560
Speaker 1: it was the same exact spot. So and that's that's

653
00:33:41,680 --> 00:33:44,120
Speaker 1: what the worry is when you have a narrowed artery,

654
00:33:44,240 --> 00:33:46,480
Speaker 1: is that blood could clot up and get stuck there

655
00:33:46,520 --> 00:33:48,520
Speaker 1: and then all of a sudden, oxygen's not getting to

656
00:33:48,560 --> 00:33:51,320
Speaker 1: your brain anymore, and that part of your brain could

657
00:33:51,360 --> 00:33:53,920
Speaker 1: die off and then you have a stroke or like

658
00:33:54,080 --> 00:33:59,360
Speaker 1: lose oxygen at least. So I think it's valid. I mean,

659
00:34:00,520 --> 00:34:02,520
Speaker 1: the thing is is that I don't know what kind

660
00:34:02,560 --> 00:34:04,680
Speaker 1: of papers you sign when you get this done. That

661
00:34:04,840 --> 00:34:06,840
Speaker 1: just says like, hey, this is kind of for fun,

662
00:34:07,000 --> 00:34:11,120
Speaker 1: so if we you know, I mean, if you're marketing it,

663
00:34:11,280 --> 00:34:14,560
Speaker 1: like Kim Kardashian was saying, Oh, you should get this

664
00:34:14,640 --> 00:34:16,960
Speaker 1: done because this saved me. I almost had a life

665
00:34:17,280 --> 00:34:20,440
Speaker 1: threatening aneurysm, which she didn't, by the way, just because

666
00:34:21,160 --> 00:34:22,960
Speaker 1: if she did, they would have done surgery on her

667
00:34:23,040 --> 00:34:25,640
Speaker 1: right away, and as we know, she didn't have anything done.

668
00:34:26,400 --> 00:34:30,359
Speaker 1: Then like they're advertising it as like, hey, you might

669
00:34:30,440 --> 00:34:33,400
Speaker 1: have this thing that you could catch early, when indeed,

670
00:34:33,560 --> 00:34:36,240
Speaker 1: if they did catch it early, it would have saved

671
00:34:36,280 --> 00:34:40,040
Speaker 1: his life. So the fact that you're like, who are

672
00:34:40,040 --> 00:34:43,680
Speaker 1: they getting to read this? Cause I think about it

673
00:34:43,719 --> 00:34:46,160
Speaker 1: like this, twenty five hundred dollars to get that test

674
00:34:46,200 --> 00:34:50,080
Speaker 1: done is really not that much money, considering you have

675
00:34:50,160 --> 00:34:52,160
Speaker 1: to pay for the staff to run the machine, you

676
00:34:52,200 --> 00:34:54,600
Speaker 1: have to pay for the machine itself. It takes forty

677
00:34:54,600 --> 00:34:56,640
Speaker 1: five minutes to an hour to get the scan done,

678
00:34:57,080 --> 00:34:59,319
Speaker 1: and then you need to pay a radiologist who's a

679
00:34:59,400 --> 00:35:02,480
Speaker 1: doctor to read it, which takes a long time because

680
00:35:02,480 --> 00:35:05,680
Speaker 1: it's a really long scan. It's a big scan with

681
00:35:05,760 --> 00:35:09,719
Speaker 1: lots of pictures. So like, I can't imagine how the

682
00:35:09,920 --> 00:35:12,560
Speaker 1: company's making too much money off of it unless they're

683
00:35:12,600 --> 00:35:16,920
Speaker 1: like lowballing radiologists or having them read them too fast.

684
00:35:17,440 --> 00:35:21,000
Speaker 2: Well, unless the scan itself is twenty five hundred dollars

685
00:35:21,080 --> 00:35:23,560
Speaker 2: and then you're paying a separate fee for the doctor

686
00:35:23,600 --> 00:35:24,400
Speaker 2: to review.

687
00:35:24,360 --> 00:35:24,839
Speaker 3: I don't know.

688
00:35:25,239 --> 00:35:27,560
Speaker 1: Like I wouldn't assume that if I was a customer,

689
00:35:27,600 --> 00:35:29,840
Speaker 1: I would think the whole thing's twenty five hundred bucks.

690
00:35:29,960 --> 00:35:32,279
Speaker 2: No, I also think it's valid. I just wanted to

691
00:35:32,280 --> 00:35:34,360
Speaker 2: point that out because I thought that guy was pretty

692
00:35:34,400 --> 00:35:36,319
Speaker 2: young to be having a stroke. So, like, I'm not

693
00:35:36,400 --> 00:35:39,040
Speaker 2: saying that's what happened. I'm just like trying to think

694
00:35:39,120 --> 00:35:42,759
Speaker 2: of all possible scenarios. But I wonder if you know,

695
00:35:43,120 --> 00:35:44,759
Speaker 2: you make a good point, like we don't know the

696
00:35:44,800 --> 00:35:47,040
Speaker 2: type of paperwork you're signing when you're getting this done.

697
00:35:47,480 --> 00:35:49,400
Speaker 2: I wonder if they could try to get them on

698
00:35:49,520 --> 00:35:53,080
Speaker 2: false advertising or something like that. It said their website

699
00:35:53,200 --> 00:35:56,400
Speaker 2: says the scan can detect subtle changes early and quote

700
00:35:56,400 --> 00:35:59,239
Speaker 2: spot potential issues before they become serious. So I mean,

701
00:35:59,280 --> 00:36:01,760
Speaker 2: they could probably use that in court as a false

702
00:36:01,800 --> 00:36:04,040
Speaker 2: advertising claim.

703
00:36:03,560 --> 00:36:05,520
Speaker 1: Like let me, let me give you an example. When

704
00:36:05,520 --> 00:36:09,799
Speaker 1: you get there's all of these businesses around. I don't

705
00:36:09,840 --> 00:36:11,239
Speaker 1: know if there are any works. So I haven't been

706
00:36:11,239 --> 00:36:15,600
Speaker 1: pregnant in eleven years, but when I was pregnant, at

707
00:36:15,680 --> 00:36:19,640
Speaker 1: least with my last one, there's all these businesses around

708
00:36:19,760 --> 00:36:22,920
Speaker 1: that you can go and get an ultrasound to see

709
00:36:22,960 --> 00:36:26,960
Speaker 1: like a forty image of your baby. Right when I

710
00:36:27,040 --> 00:36:29,120
Speaker 1: went to get that done, it was just kind of like,

711
00:36:29,200 --> 00:36:32,160
Speaker 1: hey that all the papers I signed were just like, hey,

712
00:36:32,200 --> 00:36:35,640
Speaker 1: this is for fun. We can't diagnose anything. We can't

713
00:36:35,640 --> 00:36:39,000
Speaker 1: promise you this is gonna look good. If something looks wrong,

714
00:36:39,040 --> 00:36:41,160
Speaker 1: you're gonna have to follow up. Your with your doctor

715
00:36:41,280 --> 00:36:44,680
Speaker 1: like like a hands off like we're just showing you.

716
00:36:44,920 --> 00:36:48,560
Speaker 1: We have no responsibility what you're seeing and and like

717
00:36:48,600 --> 00:36:51,880
Speaker 1: what we see kind of thing. Right. I almost wonder

718
00:36:51,920 --> 00:36:56,879
Speaker 1: how this pernuva is falls under just a boutique regulation, yes,

719
00:36:57,000 --> 00:36:59,120
Speaker 1: Like is it like a boutique place or is it

720
00:36:59,280 --> 00:37:02,879
Speaker 1: fall under this same exact regulations that a diagnostic MRI

721
00:37:03,040 --> 00:37:03,799
Speaker 1: would fall under.

722
00:37:04,960 --> 00:37:07,560
Speaker 2: That is interesting to bring that comparison up. And those

723
00:37:07,600 --> 00:37:09,759
Speaker 2: places do exist. I mean there's one very close to us.

724
00:37:09,800 --> 00:37:12,000
Speaker 2: I really considered going out.

725
00:37:12,800 --> 00:37:15,279
Speaker 1: But it's it's the same thing too because like you

726
00:37:15,360 --> 00:37:18,960
Speaker 1: can go for fun, but also they do diagnostic for

727
00:37:19,200 --> 00:37:22,359
Speaker 1: the five D imaging too, so it's like they are

728
00:37:22,440 --> 00:37:25,600
Speaker 1: straight up just like this is not diagnos diagnostic. This

729
00:37:25,719 --> 00:37:27,480
Speaker 1: is just like so you could see your baby look

730
00:37:27,520 --> 00:37:29,279
Speaker 1: clearer than the regular ultra sound you get at your

731
00:37:29,320 --> 00:37:33,719
Speaker 1: doctor's appointment. So but if there has to be like

732
00:37:33,920 --> 00:37:35,640
Speaker 1: major regulations with this.

733
00:37:35,840 --> 00:37:37,799
Speaker 2: If you want to use that example though, like you're

734
00:37:37,800 --> 00:37:40,799
Speaker 2: going to a boutique ultrasound place to get you if

735
00:37:40,840 --> 00:37:42,359
Speaker 2: you want to argue it, you want to get cute

736
00:37:42,400 --> 00:37:45,800
Speaker 2: pictures of your baby or you just like for somebody

737
00:37:45,840 --> 00:37:48,040
Speaker 2: like me that went through IVF and everything, And like

738
00:37:48,120 --> 00:37:50,239
Speaker 2: I was getting scanned every single week till seven weeks,

739
00:37:50,280 --> 00:37:51,960
Speaker 2: and then I couldn't go till thirteen weeks, and then

740
00:37:52,000 --> 00:37:54,960
Speaker 2: I couldn't go till twenty weeks. Right, Like, somebody like

741
00:37:55,040 --> 00:37:56,840
Speaker 2: me that's an anxious person might want to go in

742
00:37:56,920 --> 00:37:59,440
Speaker 2: between that long period of time just to see and

743
00:37:59,480 --> 00:38:02,400
Speaker 2: make sure he's moving around and everything. But like, I

744
00:38:02,440 --> 00:38:05,800
Speaker 2: feel like they are advertising it as a diagnostic service,

745
00:38:06,600 --> 00:38:08,480
Speaker 2: not just like you're coming in for fun to get

746
00:38:08,480 --> 00:38:10,880
Speaker 2: cute pictures of your baby, or just to get pictures

747
00:38:10,920 --> 00:38:11,560
Speaker 2: of your body.

748
00:38:12,480 --> 00:38:15,839
Speaker 1: Yeah, that's what and it's and really I can't think

749
00:38:15,840 --> 00:38:21,120
Speaker 1: of anything else that's quite like that, because even like

750
00:38:21,239 --> 00:38:24,759
Speaker 1: let's say, Perneuva is not even a company, right, I

751
00:38:24,800 --> 00:38:27,600
Speaker 1: don't know that I could just go to my doctor

752
00:38:27,719 --> 00:38:29,880
Speaker 1: and say I want a full body MRI and then

753
00:38:29,880 --> 00:38:33,279
Speaker 1: they'll say, okay, obviously insurance won't cover that, right for

754
00:38:33,400 --> 00:38:36,400
Speaker 1: no reason. Like my my little one, Lucia has had

755
00:38:36,400 --> 00:38:39,440
Speaker 1: a full body MRI for her bone disorder that was

756
00:38:39,440 --> 00:38:42,200
Speaker 1: paid for with insurance because it was it was they

757
00:38:42,239 --> 00:38:45,960
Speaker 1: needed to see if she had a fauxcaia of different

758
00:38:46,200 --> 00:38:49,680
Speaker 1: areas of inflammation throughout any bones in her body. But

759
00:38:49,840 --> 00:38:53,280
Speaker 1: like if I just said to my doctor, Hey, Joe,

760
00:38:53,320 --> 00:38:55,279
Speaker 1: like I want to I want to go get a

761
00:38:55,320 --> 00:38:57,520
Speaker 1: full body MRI, and he would say, oh, insurance won't

762
00:38:57,560 --> 00:38:58,920
Speaker 1: cover it. And then I was like, I want to

763
00:38:58,920 --> 00:39:01,680
Speaker 1: pay cash for it. Would they just do it just

764
00:39:01,719 --> 00:39:05,520
Speaker 1: because you want it? I don't even think, so, yeah,

765
00:39:05,600 --> 00:39:06,680
Speaker 1: you can't just get one.

766
00:39:06,760 --> 00:39:07,359
Speaker 2: I don't know.

767
00:39:07,880 --> 00:39:09,280
Speaker 3: Yeah, it's just it's just weird.

768
00:39:09,360 --> 00:39:14,440
Speaker 2: So there, maybe that's where this idea stemmed from. Though, Yeah,

769
00:39:14,560 --> 00:39:15,440
Speaker 2: I mean I get it.

770
00:39:15,560 --> 00:39:17,600
Speaker 1: It's a it's a good idea for money making, but

771
00:39:18,080 --> 00:39:21,719
Speaker 1: you have to be having them legitimately read as if

772
00:39:21,760 --> 00:39:23,520
Speaker 1: it were a diagnostic one.

773
00:39:23,920 --> 00:39:27,560
Speaker 2: But healthcare providers are very critical of this service, saying

774
00:39:27,640 --> 00:39:30,600
Speaker 2: exactly what you were saying earlier, which is like when

775
00:39:30,640 --> 00:39:33,839
Speaker 2: you're going in for an MRI, it's typically for let's

776
00:39:33,920 --> 00:39:36,960
Speaker 2: use me for an example, Like my blood work was

777
00:39:37,000 --> 00:39:39,279
Speaker 2: weird for prolactin, so they were like, we want to

778
00:39:39,320 --> 00:39:41,680
Speaker 2: see if you have a pituitary atonomus, so they look

779
00:39:41,719 --> 00:39:44,440
Speaker 2: at my brain, right, and these experts are saying, like

780
00:39:45,040 --> 00:39:47,919
Speaker 2: we go based off of symptoms or something like that.

781
00:39:48,040 --> 00:39:50,719
Speaker 2: Labs that are off to look at an area and

782
00:39:50,800 --> 00:39:53,600
Speaker 2: a specific area and it takes time to look at

783
00:39:53,600 --> 00:39:56,960
Speaker 2: one specific area in all those layers you were talking about,

784
00:39:57,320 --> 00:39:59,920
Speaker 2: So like, how are they looking at the full body

785
00:40:00,160 --> 00:40:02,520
Speaker 2: in detail like they're claiming, Yeah, it just I just

786
00:40:02,560 --> 00:40:05,279
Speaker 2: feel like it would cost to pay a radiologist to

787
00:40:05,280 --> 00:40:08,000
Speaker 2: do it. They're just quick scanning it to see if

788
00:40:08,640 --> 00:40:12,440
Speaker 2: I think they're quick scanning to see if there's anything glaring, like, oh,

789
00:40:12,480 --> 00:40:15,600
Speaker 2: there's there's a two centimeter tumor in this person's pancreass

790
00:40:15,719 --> 00:40:19,280
Speaker 2: kind of, but like the narrowing of the cerebral artery

791
00:40:19,440 --> 00:40:26,680
Speaker 2: is a very fine but yet important, very important abnormality.

792
00:40:26,840 --> 00:40:28,719
Speaker 3: But I suppose if.

793
00:40:28,640 --> 00:40:31,240
Speaker 1: You're looking through hundreds and hundreds of pictures, it's something

794
00:40:31,239 --> 00:40:36,399
Speaker 1: that could be easily you know. And another interesting point

795
00:40:36,440 --> 00:40:39,680
Speaker 1: too is that and I don't know this any radiology

796
00:40:39,680 --> 00:40:43,520
Speaker 1: people that are listening. When I worked as a cytotechnologist,

797
00:40:43,560 --> 00:40:46,360
Speaker 1: so that was looking at slides specifically like PAP smears.

798
00:40:46,760 --> 00:40:48,759
Speaker 1: We had a limit of how many slides we were

799
00:40:48,960 --> 00:40:52,040
Speaker 1: able to look at a day, and it was at

800
00:40:52,040 --> 00:40:53,560
Speaker 1: that time, I don't know what it is now, but

801
00:40:53,600 --> 00:40:54,880
Speaker 1: it was like we were allowed to look at one

802
00:40:54,960 --> 00:40:56,040
Speaker 1: hundred pap smears a day.

803
00:40:56,080 --> 00:40:56,760
Speaker 3: That's it.

804
00:40:56,760 --> 00:40:59,600
Speaker 1: It doesn't matter if we worked, you know, a ten

805
00:40:59,640 --> 00:41:02,560
Speaker 1: hours whatever, Like you can't work, you can't read more

806
00:41:02,560 --> 00:41:06,640
Speaker 1: than that according to laws that were made within the

807
00:41:06,719 --> 00:41:14,840
Speaker 1: laboratory accreditation systems, so for radiology, and that that's because

808
00:41:14,880 --> 00:41:18,160
Speaker 1: like let's say, for example, I'm reading pap smears at

809
00:41:18,200 --> 00:41:21,080
Speaker 1: my job one hundred and then I go work per

810
00:41:21,160 --> 00:41:23,759
Speaker 1: damn at another hospital for another four hours at night.

811
00:41:24,560 --> 00:41:26,600
Speaker 3: Like do you really want someone like me.

812
00:41:26,680 --> 00:41:28,879
Speaker 1: Whose eyes are tired and have looked at a hundred

813
00:41:28,920 --> 00:41:31,279
Speaker 1: slides already to be looking at your pap smerror at

814
00:41:31,280 --> 00:41:34,279
Speaker 1: that second job. No, So it was just like one

815
00:41:34,360 --> 00:41:36,840
Speaker 1: hundred a day. It doesn't matter how many jobs you have.

816
00:41:37,200 --> 00:41:38,919
Speaker 1: Now if you add a per damn job, you could

817
00:41:38,960 --> 00:41:41,319
Speaker 1: do like fifty at one job and fifty at another job.

818
00:41:41,360 --> 00:41:44,840
Speaker 1: But there's like regulations for a reason. So it's the

819
00:41:44,880 --> 00:41:49,720
Speaker 1: same thing in this case, like how many how many

820
00:41:49,760 --> 00:41:52,560
Speaker 1: slides or how many pictures is a radiologist allowed to

821
00:41:52,600 --> 00:41:54,920
Speaker 1: look at in a twenty four hour period? I'm not

822
00:41:55,040 --> 00:41:55,600
Speaker 1: sure of that.

823
00:41:56,320 --> 00:41:58,640
Speaker 2: Yeah, that's interesting. And they also pointed out that this

824
00:41:58,719 --> 00:42:01,440
Speaker 2: scan's only forty five minus and it's long, and like

825
00:42:01,520 --> 00:42:03,120
Speaker 2: I have a hard time believing that because if I

826
00:42:03,160 --> 00:42:05,120
Speaker 2: get the one on my brain with and without contrast.

827
00:42:05,200 --> 00:42:07,080
Speaker 2: That's also forty five minutes, So like, how are they

828
00:42:07,120 --> 00:42:09,240
Speaker 2: looking at the full body that quickly?

829
00:42:09,280 --> 00:42:12,000
Speaker 1: And I feel like Cicia's, I feel like Lucia's was

830
00:42:12,040 --> 00:42:12,799
Speaker 1: about an hour.

831
00:42:13,120 --> 00:42:16,080
Speaker 2: Yeah, but she's a tiny person but a full blown adult.

832
00:42:16,239 --> 00:42:19,000
Speaker 1: I think when you get the contrast, though, they take

833
00:42:19,040 --> 00:42:20,960
Speaker 1: a whole new set of pictures, so it's almost like

834
00:42:20,960 --> 00:42:23,360
Speaker 1: you're getting two separate MRIs.

835
00:42:23,400 --> 00:42:25,560
Speaker 3: You know, I'm not really sure honestly.

836
00:42:25,239 --> 00:42:28,400
Speaker 2: But yeah, I just think it's interesting that other healthcare

837
00:42:28,440 --> 00:42:32,520
Speaker 2: professionals are very critical of this, and it's primarily endorsed

838
00:42:32,520 --> 00:42:34,480
Speaker 2: by celebrities, so you got to think about that too,

839
00:42:34,480 --> 00:42:37,480
Speaker 2: because those people are probably getting paid. I'm just speculating that,

840
00:42:37,640 --> 00:42:40,480
Speaker 2: but the way that they push it, it just seems

841
00:42:40,600 --> 00:42:43,960
Speaker 2: like skeptical, and I think everybody the overall lesson is

842
00:42:43,960 --> 00:42:46,480
Speaker 2: you gotta do your own research before you go to

843
00:42:46,520 --> 00:42:50,040
Speaker 2: these places. Don't just take parasit owner Kim Kardashian's word

844
00:42:50,120 --> 00:42:51,279
Speaker 2: for it. It is.

845
00:42:51,440 --> 00:42:54,040
Speaker 1: It's weird too, because they have a lot of companies

846
00:42:54,080 --> 00:42:57,320
Speaker 1: out now that you could order your own blood work too.

847
00:42:57,520 --> 00:43:00,919
Speaker 1: It's just it's just like a different thing in medicine. Well,

848
00:43:01,760 --> 00:43:04,680
Speaker 1: I mean listen, like you could say that the medical

849
00:43:04,719 --> 00:43:08,160
Speaker 1: system is screwed here, and sometimes you're just like, I

850
00:43:08,239 --> 00:43:10,360
Speaker 1: want to order this stuff because they're not getting to

851
00:43:10,400 --> 00:43:14,319
Speaker 1: the bottom of whatever's wrong with me. But so we're

852
00:43:14,320 --> 00:43:16,239
Speaker 1: gonna be seeing more and more of these services that

853
00:43:16,280 --> 00:43:18,440
Speaker 1: you could pay cash for and just kind of bypass

854
00:43:18,960 --> 00:43:19,719
Speaker 1: you know all that.

855
00:43:20,719 --> 00:43:23,360
Speaker 2: All right, Well, it's happened again. A man has tried

856
00:43:23,440 --> 00:43:27,200
Speaker 2: to board a flight with his dead wife. Didn't it

857
00:43:27,480 --> 00:43:31,080
Speaker 2: just happen, not like not too long ago? Yeah, it did,

858
00:43:31,120 --> 00:43:34,960
Speaker 2: And I guess I'm happy to address this in the story.

859
00:43:35,280 --> 00:43:37,279
Speaker 2: In the last one we covered where they were trying

860
00:43:37,320 --> 00:43:38,840
Speaker 2: to get that old lady on the plane, like she

861
00:43:38,960 --> 00:43:42,200
Speaker 2: was on the plane. They really almost got away with it. Honestly,

862
00:43:44,040 --> 00:43:47,000
Speaker 2: I was asking at that time, did she die, Like

863
00:43:47,120 --> 00:43:50,080
Speaker 2: how did she get through security? Did she die in

864
00:43:50,160 --> 00:43:52,960
Speaker 2: between going to security and getting on the plane. Did

865
00:43:53,000 --> 00:43:55,040
Speaker 2: they just say she was asleep when she was going

866
00:43:55,080 --> 00:43:58,440
Speaker 2: through security. I couldn't understand. But in this particular case,

867
00:43:58,760 --> 00:44:00,520
Speaker 2: they were trying to go through a metal detector and

868
00:44:00,560 --> 00:44:04,160
Speaker 2: the security noticed that she was unconscious and she was infected,

869
00:44:04,440 --> 00:44:07,240
Speaker 2: and they would not let them proceed. And then this guy,

870
00:44:07,280 --> 00:44:09,840
Speaker 2: this happened in Spain, so this guy said, oh, she

871
00:44:09,960 --> 00:44:13,080
Speaker 2: died a couple hours ago, but we were here, So

872
00:44:13,160 --> 00:44:16,360
Speaker 2: I'm just confused about the security system. There was it

873
00:44:16,400 --> 00:44:19,120
Speaker 2: a secondary set of security where they just hanging out

874
00:44:19,600 --> 00:44:22,000
Speaker 2: before they went through, because typically you get dropped off

875
00:44:22,000 --> 00:44:23,560
Speaker 2: and you go right through and then you hang out

876
00:44:23,600 --> 00:44:24,320
Speaker 2: in the terminal.

877
00:44:25,000 --> 00:44:27,600
Speaker 1: Well, I guess if you have a wheelchair, you have

878
00:44:27,640 --> 00:44:30,719
Speaker 1: to go through a certain thing because you can't get

879
00:44:30,760 --> 00:44:36,000
Speaker 1: out and walk through it. So I don't I don't

880
00:44:36,040 --> 00:44:38,719
Speaker 1: know how this has happened more than once in the

881
00:44:38,760 --> 00:44:42,960
Speaker 1: past six months, but I like how they say she

882
00:44:43,080 --> 00:44:46,640
Speaker 1: also had an extremely low body temperature, Like were they

883
00:44:46,680 --> 00:44:48,000
Speaker 1: touching her body.

884
00:44:47,719 --> 00:44:49,040
Speaker 3: To see if she was alive?

885
00:44:50,040 --> 00:44:52,520
Speaker 2: I don't know, but I guess the thing what we

886
00:44:52,560 --> 00:44:55,719
Speaker 2: talked about last time is obviously this is ridiculous, but

887
00:44:55,760 --> 00:44:58,560
Speaker 2: we could understand it because shipping a dead body is

888
00:44:58,719 --> 00:45:02,840
Speaker 2: incredibly expensive and can just be a whole headache in itself.

889
00:45:02,880 --> 00:45:04,799
Speaker 2: So if you could try to get away with it,

890
00:45:05,560 --> 00:45:07,239
Speaker 2: I guess that's what these people are trying to do

891
00:45:07,360 --> 00:45:08,800
Speaker 2: to save somebody and headache.

892
00:45:09,000 --> 00:45:10,040
Speaker 3: I'm not hating on them.

893
00:45:10,040 --> 00:45:14,680
Speaker 1: It's like, and he got arrested and unnecessary, Well, if

894
00:45:14,680 --> 00:45:16,920
Speaker 1: it might be necessary. He might have killed her, like

895
00:45:17,120 --> 00:45:19,920
Speaker 1: we don't know, but like she's eighty right, Like all

896
00:45:19,920 --> 00:45:22,080
Speaker 1: I keep thinking about is this little old man that

897
00:45:22,160 --> 00:45:25,080
Speaker 1: his wife died and he's just like kind of lost.

898
00:45:24,760 --> 00:45:27,279
Speaker 3: And and and you.

899
00:45:27,160 --> 00:45:30,040
Speaker 1: Know, maybe people are frowning upon what he did, but whatever,

900
00:45:30,960 --> 00:45:33,120
Speaker 1: maybe she really did die at the airport and he

901
00:45:33,480 --> 00:45:36,080
Speaker 1: like freaked out and didn't know what was happening. But

902
00:45:36,239 --> 00:45:40,000
Speaker 1: like now he's got arrested, Like come on, no, it's

903
00:45:40,120 --> 00:45:44,000
Speaker 1: he also could he also could be like an abusive asshole,

904
00:45:44,200 --> 00:45:46,879
Speaker 1: like I don't know what happened, you know, it's just yeah,

905
00:45:46,960 --> 00:45:48,719
Speaker 1: I mean, it's like sad if it's just like an

906
00:45:48,800 --> 00:45:49,400
Speaker 1: old dude.

907
00:45:49,760 --> 00:45:53,440
Speaker 2: If they figure out that he killed her, obviously deserves

908
00:45:53,440 --> 00:45:56,160
Speaker 2: to be arrested. And then I guess where she died,

909
00:45:56,160 --> 00:45:58,120
Speaker 2: if he entered the airport with her in that state

910
00:45:58,239 --> 00:46:01,239
Speaker 2: or whatever. That's being investigated right now. But as we know,

911
00:46:01,400 --> 00:46:03,319
Speaker 2: he tried to get her through security and they were

912
00:46:03,320 --> 00:46:08,040
Speaker 2: like absolutely not. Okay, onto your questions and emails. If

913
00:46:08,080 --> 00:46:11,640
Speaker 2: you guys have questions or stories for us, please send

914
00:46:11,680 --> 00:46:14,880
Speaker 2: them the stories at Mothernosdeath dot com. All right, this

915
00:46:14,880 --> 00:46:18,280
Speaker 2: first one's from Jen High Ladies Knewish fan obsessed about

916
00:46:18,280 --> 00:46:20,719
Speaker 2: one of the last segments on your most recent episode.

917
00:46:21,000 --> 00:46:23,239
Speaker 2: I one hundred percent agree with Nicole. One of the

918
00:46:23,239 --> 00:46:25,759
Speaker 2: main reasons I love your podcast is because you don't

919
00:46:25,800 --> 00:46:28,400
Speaker 2: speak down to your listeners. You say it how it is,

920
00:46:28,440 --> 00:46:30,960
Speaker 2: in use simple terms, and when you drop medical jargon,

921
00:46:31,120 --> 00:46:34,960
Speaker 2: usually simplify it for us. As someone who constantly has

922
00:46:34,960 --> 00:46:38,040
Speaker 2: trouble getting her thoughts out, forget about trying to sound

923
00:46:38,040 --> 00:46:40,719
Speaker 2: smart or use big words. I appreciate this to me,

924
00:46:40,840 --> 00:46:43,799
Speaker 2: it shows anyone could be successful. The other thing I

925
00:46:43,840 --> 00:46:46,400
Speaker 2: love and had me from the beginning is Nicole's accent.

926
00:46:46,880 --> 00:46:49,000
Speaker 2: I live in central Oregon now but grew up in

927
00:46:49,080 --> 00:46:51,480
Speaker 2: upstate New York. I have family in Jersey and hearing

928
00:46:51,520 --> 00:46:53,960
Speaker 2: the accent reminds me of home and brings me comfort.

929
00:46:54,360 --> 00:46:56,680
Speaker 2: I've been hearing New Yorker and be coming out more

930
00:46:56,719 --> 00:46:59,520
Speaker 2: and more leately, and I'm not mad about it. Any who,

931
00:46:59,520 --> 00:47:02,080
Speaker 2: Love you guys, love the show, and welcome to hearing

932
00:47:02,120 --> 00:47:04,040
Speaker 2: more about your mother daughter dynamic.

933
00:47:04,840 --> 00:47:05,600
Speaker 3: Oh thank you.

934
00:47:05,840 --> 00:47:08,440
Speaker 1: Why is it that Nicole's accent like?

935
00:47:08,480 --> 00:47:11,239
Speaker 3: What about yours? Yours?

936
00:47:11,640 --> 00:47:14,799
Speaker 2: You know? I was I always say this. You have

937
00:47:14,840 --> 00:47:18,400
Speaker 2: a pretty thick New Jersey accent, and so does Louie.

938
00:47:18,640 --> 00:47:20,880
Speaker 2: And I don't think Louise is as obvious because he

939
00:47:20,880 --> 00:47:24,520
Speaker 2: didn't talk that much. But what he does, it's really thick,

940
00:47:24,960 --> 00:47:27,520
Speaker 2: and I think I have it in more context, and

941
00:47:27,560 --> 00:47:29,799
Speaker 2: I think it's weird. Like sometimes I feel like some

942
00:47:29,840 --> 00:47:32,080
Speaker 2: words I say sound Southern, and I don't know, it

943
00:47:32,239 --> 00:47:35,800
Speaker 2: just happens, but I think you'res just definitely one hundred

944
00:47:35,800 --> 00:47:36,879
Speaker 2: percent stronger than mine.

945
00:47:37,200 --> 00:47:39,600
Speaker 1: I had to change a lot of like now I

946
00:47:39,600 --> 00:47:42,680
Speaker 1: would say water, but I used to say water.

947
00:47:43,239 --> 00:47:45,399
Speaker 3: Yeah, I'm the same, Like I really had to.

948
00:47:45,360 --> 00:47:48,680
Speaker 1: Like force myself to not say that anymore. Just certain

949
00:47:49,239 --> 00:47:52,759
Speaker 1: types of Philly words, you know, but.

950
00:47:52,840 --> 00:47:55,960
Speaker 2: Think of like like mo mom and Ricky right have

951
00:47:56,239 --> 00:48:02,080
Speaker 2: pretty strong philly Ish accents where they say like Sundy,

952
00:48:03,120 --> 00:48:08,520
Speaker 2: what a daughter, and like all those ones, whereas we say,

953
00:48:08,640 --> 00:48:10,880
Speaker 2: like my number one thing I say weird is milk.

954
00:48:11,360 --> 00:48:13,400
Speaker 2: I if I think about it, I'll say it correctly,

955
00:48:13,440 --> 00:48:16,680
Speaker 2: but I typically say milk or him.

956
00:48:17,000 --> 00:48:20,759
Speaker 3: You know, I can wait, I'm going home?

957
00:48:21,280 --> 00:48:24,200
Speaker 2: Is that? Yeah? I guess so, well you're thinking about it.

958
00:48:24,239 --> 00:48:27,920
Speaker 2: I think if anybody sees us in the true wild

959
00:48:27,960 --> 00:48:30,600
Speaker 2: and we're just talking, not even about these stories, talking

960
00:48:30,600 --> 00:48:32,759
Speaker 2: about life and whatever. I feel like that's what it's

961
00:48:32,760 --> 00:48:33,600
Speaker 2: the worst.

962
00:48:34,320 --> 00:48:36,880
Speaker 1: Oh yeah, people have come up to me when I

963
00:48:36,920 --> 00:48:38,840
Speaker 1: was traveling and say like, are you from Philly?

964
00:48:39,320 --> 00:48:41,279
Speaker 2: Oh? One hundred percent, you could always tell.

965
00:48:41,560 --> 00:48:45,720
Speaker 3: So there's this girl on I've been seeing.

966
00:48:45,760 --> 00:48:47,720
Speaker 1: I'll send it to you next time it comes across

967
00:48:47,760 --> 00:48:52,959
Speaker 1: on Instagram and she basically all she does is talk

968
00:48:53,160 --> 00:48:56,680
Speaker 1: about how we talk around here, and she has like

969
00:48:56,760 --> 00:48:57,719
Speaker 1: thousands of use.

970
00:48:58,160 --> 00:49:00,719
Speaker 2: Wait, I think I've seen her. Does she have like

971
00:49:00,840 --> 00:49:01,600
Speaker 2: long black hair?

972
00:49:01,760 --> 00:49:02,000
Speaker 3: Yeah?

973
00:49:02,040 --> 00:49:03,399
Speaker 2: Like she yeah, I know exactly where.

974
00:49:03,520 --> 00:49:06,600
Speaker 1: Like today, Like today I came across one and she

975
00:49:06,760 --> 00:49:12,279
Speaker 1: was talking about how how we pronounced the streets or

976
00:49:12,480 --> 00:49:15,240
Speaker 1: like certain streets and stuff like that. And then today

977
00:49:15,360 --> 00:49:19,120
Speaker 1: was like she was doing how we would pronounce people's names.

978
00:49:19,920 --> 00:49:22,000
Speaker 2: Oh, I gotta see that one. Because a weird thing

979
00:49:22,080 --> 00:49:25,279
Speaker 2: in North Philly is they have a street, they have

980
00:49:25,320 --> 00:49:26,880
Speaker 2: two streets. I don't know if she covered this one.

981
00:49:26,920 --> 00:49:28,920
Speaker 2: I didn't see it, but she probably did. They have

982
00:49:29,040 --> 00:49:33,040
Speaker 2: almond in Salmon Street and they pronounce it almond and salmon,

983
00:49:33,840 --> 00:49:37,479
Speaker 2: which is drives me crazy. And what oh she said,

984
00:49:37,520 --> 00:49:40,480
Speaker 2: because I used to live near oregonev. We they all

985
00:49:40,480 --> 00:49:45,560
Speaker 2: pronounce it in Philly argonev argon. Yeah, things like that. Yeah,

986
00:49:45,600 --> 00:49:47,560
Speaker 2: I saw she had one where she was saying, how

987
00:49:47,560 --> 00:49:50,000
Speaker 2: if somebody says you look sharp, it's like the highest

988
00:49:50,080 --> 00:49:54,000
Speaker 2: compliment in Philly. Someone's like, oh, your dress is sharp,

989
00:49:54,600 --> 00:49:55,880
Speaker 2: and it is. It's crazy.

990
00:49:56,200 --> 00:49:58,319
Speaker 1: We just have our totally owned language here.

991
00:49:58,800 --> 00:50:01,400
Speaker 2: She's really funny though, she that's really good videos. Yeah,

992
00:50:01,400 --> 00:50:04,759
Speaker 2: they're one hundred percent accurate. All right. Next from Heather,

993
00:50:05,280 --> 00:50:07,799
Speaker 2: Hello to my favorite pod ladies. I just wanted to

994
00:50:07,840 --> 00:50:10,080
Speaker 2: comment about the booker wall. Maria.

995
00:50:10,160 --> 00:50:12,239
Speaker 1: I am one hundred percent with you and feeling like

996
00:50:12,280 --> 00:50:13,080
Speaker 1: you want to vomit.

997
00:50:13,600 --> 00:50:15,839
Speaker 2: I am a nurse and also a part time art

998
00:50:15,880 --> 00:50:18,680
Speaker 2: teacher to an elementary junior high school. I have dealt

999
00:50:18,719 --> 00:50:22,360
Speaker 2: with more than my fair share of excrementmesis what's that

1000
00:50:22,560 --> 00:50:23,280
Speaker 2: an expulsion?

1001
00:50:23,320 --> 00:50:25,799
Speaker 1: Missus? And missus is just thrown up?

1002
00:50:26,080 --> 00:50:29,440
Speaker 2: Okay. Nothing of my nursing career has ever made me

1003
00:50:29,480 --> 00:50:32,520
Speaker 2: want to vomit. Teaching, on the other hand, has. The

1004
00:50:32,640 --> 00:50:34,920
Speaker 2: one time in my life I almost vomited was turning

1005
00:50:34,960 --> 00:50:38,520
Speaker 2: around and finding two boys picking their noses and eating them. Disgusting.

1006
00:50:38,960 --> 00:50:41,520
Speaker 2: You would think they were kindergarteners or even first grade,

1007
00:50:41,520 --> 00:50:44,480
Speaker 2: but nope, we're talking about fourth and fifth graders. They

1008
00:50:44,480 --> 00:50:47,239
Speaker 2: were not eating each other's thank god, but sat right

1009
00:50:47,280 --> 00:50:49,400
Speaker 2: next to each other and continued as if this was

1010
00:50:49,440 --> 00:50:52,400
Speaker 2: a normal affair. All things considered, it's a win that

1011
00:50:52,440 --> 00:50:55,520
Speaker 2: they weren't sharing anyways. Hope things bring a smile to

1012
00:50:55,560 --> 00:50:57,319
Speaker 2: your face if you read this on air. I hope

1013
00:50:57,320 --> 00:51:01,719
Speaker 2: parents will appreciate what teachers go through. Oh my god.

1014
00:51:02,280 --> 00:51:05,439
Speaker 1: So when Maria was making the clip for the booger Wall,

1015
00:51:06,000 --> 00:51:07,960
Speaker 1: she sent it to me and I was like, no,

1016
00:51:08,160 --> 00:51:10,320
Speaker 1: you got to put a picture of a real booger

1017
00:51:10,360 --> 00:51:12,880
Speaker 1: wall in the video, and she goes, okay, do you

1018
00:51:12,960 --> 00:51:14,799
Speaker 1: have one you want to use? So then I just

1019
00:51:15,120 --> 00:51:18,839
Speaker 1: I'm like, okay, let me just check. And I I.

1020
00:51:18,760 --> 00:51:20,360
Speaker 3: Don't I google.

1021
00:51:20,480 --> 00:51:23,120
Speaker 1: I just google image shirts booger wall, and I'm like,

1022
00:51:23,360 --> 00:51:26,040
Speaker 1: oh my god. There's just picture after picture and they're

1023
00:51:26,080 --> 00:51:28,920
Speaker 1: all nasty. Some of them are like bloody. And I

1024
00:51:29,000 --> 00:51:31,319
Speaker 1: send it to her and then you know, like when

1025
00:51:31,320 --> 00:51:34,400
Speaker 1: you're texting with someone, that picture is there, like every

1026
00:51:34,719 --> 00:51:36,480
Speaker 1: like I was in the middle of because you know,

1027
00:51:36,600 --> 00:51:39,480
Speaker 1: she loves to text me while I'm cooking dinner, so

1028
00:51:39,480 --> 00:51:41,879
Speaker 1: so like I'm looking at this booger wall picture while

1029
00:51:41,880 --> 00:51:44,879
Speaker 1: I'm cooking dinner and having a text conversation with her.

1030
00:51:45,239 --> 00:51:46,360
Speaker 3: It is really gross.

1031
00:51:46,360 --> 00:51:49,359
Speaker 1: But just google search it you'll see all of the.

1032
00:51:49,280 --> 00:51:51,719
Speaker 2: Things that come up. Wait, is that the one that

1033
00:51:52,200 --> 00:51:54,840
Speaker 2: on the crime con account? They said this is upsetting

1034
00:51:54,840 --> 00:51:58,359
Speaker 2: and I said I was upset making it. Yeah, oh

1035
00:51:58,400 --> 00:52:00,799
Speaker 2: my god. And then the worst is I put the

1036
00:52:00,880 --> 00:52:04,120
Speaker 2: text over the picture and then I spelled something wrong,

1037
00:52:04,200 --> 00:52:06,960
Speaker 2: so then I go back and remake it, and I

1038
00:52:07,000 --> 00:52:09,040
Speaker 2: was like, I just want this to be over with.

1039
00:52:09,080 --> 00:52:12,400
Speaker 2: This picture so gross. It is so gross. All right,

1040
00:52:12,480 --> 00:52:15,320
Speaker 2: last question, Maria, what will you do with your placenta

1041
00:52:15,480 --> 00:52:19,600
Speaker 2: minds in the deep freezer? I really have no interest

1042
00:52:19,640 --> 00:52:21,000
Speaker 2: in it. So do you want to go?

1043
00:52:21,160 --> 00:52:23,480
Speaker 3: Because yes I do. It's going on my shelf.

1044
00:52:24,120 --> 00:52:26,600
Speaker 2: I yeah, I'm not interested in eating it. I'm not

1045
00:52:26,719 --> 00:52:29,200
Speaker 2: interested in displaying it. I don't really want to do

1046
00:52:29,280 --> 00:52:32,279
Speaker 2: anything with it, So like it's open for you to take.

1047
00:52:32,360 --> 00:52:36,839
Speaker 2: Otherwise it's going in the medical trash. So I don't

1048
00:52:36,880 --> 00:52:37,719
Speaker 2: know if that's Yeah.

1049
00:52:37,800 --> 00:52:39,920
Speaker 1: I'll try to think of something. I'll try to think

1050
00:52:39,960 --> 00:52:43,080
Speaker 1: of something creative to do with it, but it probably

1051
00:52:43,120 --> 00:52:44,920
Speaker 1: will just go in a jar with the other ones.

1052
00:52:45,600 --> 00:52:47,880
Speaker 1: We'll have fun with that because I will think you.

1053
00:52:47,920 --> 00:52:50,000
Speaker 2: I don't. I don't even want to see it. Like

1054
00:52:50,040 --> 00:52:52,880
Speaker 2: you can arrange it. I'll tell them at my appointment

1055
00:52:53,640 --> 00:52:55,640
Speaker 2: that you want to keep it. Whenever, I'll put it

1056
00:52:55,680 --> 00:52:58,520
Speaker 2: on my birth plan. That's all on you, all right, guys.

1057
00:52:58,560 --> 00:53:01,320
Speaker 2: We have some new Valentine's Day merch on our shop,

1058
00:53:01,360 --> 00:53:03,600
Speaker 2: so you could head to the doormatshop dot com to

1059
00:53:03,640 --> 00:53:06,560
Speaker 2: see We have three new designs and they're super cool.

1060
00:53:07,280 --> 00:53:10,400
Speaker 2: The link to that is in the description of every episode.

1061
00:53:10,520 --> 00:53:12,279
Speaker 2: Or you could go on the Grosserroom dot com and

1062
00:53:12,360 --> 00:53:14,640
Speaker 2: hit shop and they will be right there. Or head

1063
00:53:14,640 --> 00:53:17,879
Speaker 2: over to the doormattershop dot com. Our City winery show

1064
00:53:18,000 --> 00:53:20,799
Speaker 2: technically at the City Vineyard in New York City are

1065
00:53:20,840 --> 00:53:23,080
Speaker 2: now for sale as well, so you guys could buy those.

1066
00:53:23,440 --> 00:53:25,319
Speaker 2: The link to those are in the Grossroom or in

1067
00:53:25,360 --> 00:53:28,239
Speaker 2: the description of every episode as well. Please head over

1068
00:53:28,280 --> 00:53:30,560
Speaker 2: to Apple or Spotify, leave us review, subscribe to our

1069
00:53:30,560 --> 00:53:33,360
Speaker 2: YouTube channel, and as always, a few stories or comments

1070
00:53:33,400 --> 00:53:36,400
Speaker 2: for us, please submit them to stories at Mothernosdeath dot com.

1071
00:53:36,800 --> 00:53:37,720
Speaker 3: See you guys tomorrow.

1072
00:53:41,200 --> 00:53:45,040
Speaker 1: Thank you for listening to Mother Noos Death. As a reminder,

1073
00:53:45,239 --> 00:53:49,040
Speaker 1: my training is as a pathologists assistant. I have a

1074
00:53:49,080 --> 00:53:53,440
Speaker 1: master's level education and specialize in anatomy and pathology education.

1075
00:53:54,560 --> 00:53:56,719
Speaker 1: I am not a doctor and I have not diagnosed

1076
00:53:56,800 --> 00:54:00,360
Speaker 1: or treated anyone dead or alive without the assist sense

1077
00:54:00,360 --> 00:54:05,160
Speaker 1: of a licensed medical doctor. This show, my website, and

1078
00:54:05,280 --> 00:54:08,840
Speaker 1: social media accounts are designed to educate and inform people

1079
00:54:08,920 --> 00:54:12,920
Speaker 1: based on my experience working in pathology, so they can

1080
00:54:13,000 --> 00:54:17,680
Speaker 1: make healthier decisions regarding their life and well being. Always

1081
00:54:17,719 --> 00:54:20,759
Speaker 1: remember that science is changing every day and the opinions

1082
00:54:20,800 --> 00:54:23,640
Speaker 1: expressed in this episode are based on my knowledge of

1083
00:54:23,680 --> 00:54:27,399
Speaker 1: those subjects at the time of publication. If you are

1084
00:54:27,440 --> 00:54:31,600
Speaker 1: having a medical problem, have a medical question, or having

1085
00:54:31,640 --> 00:54:35,719
Speaker 1: a medical emergency, please contact your physician or visit an

1086
00:54:35,840 --> 00:54:38,240
Speaker 1: urgent care center, emergency room.

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Speaker 3: Or hospital.

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Speaker 1: Please rate, review, and subscribe to Mother Knows Death on Apple, Spotify, YouTube,

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Speaker 1: or anywhere you get podcasts. Thanks