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

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

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Speaker 1: the story of the week. We have this absolutely horrible

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Speaker 1: story of the week. So back in August, this twelve

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Speaker 1: year old girl had three of her friends over for

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Speaker 1: a sleepover. Throughout the night, her father was very involved

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Speaker 1: in all their activities, which I'm sure having a husband

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Speaker 1: that is a father of three girls, you're like, that's

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Speaker 1: kind of weird, right, Yeah, yeah, because whenever kids sleep

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Speaker 1: over here, my husband like locks himself up in his office.

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Speaker 2: He wants nothing to do with it.

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Speaker 1: Yeah, but it's kind of unclear where the mom was

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Speaker 1: in all of this, so he was constantly checking up

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Speaker 1: on them, just involving himself in their conversations, and they're

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Speaker 1: probably like, get away from us, lose or whatever. So

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Speaker 1: the first thing that really stuck out that was weird

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Speaker 1: about the story is one of the girls said that

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Speaker 1: after they had gone in the hot tub, the dad

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Speaker 1: insisted they all take showers before going to bed, Which

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Speaker 1: have you did you ever shower at a friend's house

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Speaker 1: when you were a kid.

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Speaker 2: No, it's so weird.

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Speaker 1: I wasn't even Normally you're supposed to shower before you

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Speaker 1: go in a hot tub, not after. I mean, I

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Speaker 1: could see if it's chlorinated. You might want to rinse

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Speaker 1: that off, because that's not great to be sitting on

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Speaker 1: a kid's skin, I guess. But no, I it's just weird. Yes,

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Speaker 1: let them have fun. So that was the first major

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Speaker 1: red flag to me. So eventually throughout the night, the

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Speaker 1: dad made these mango smoothies that he offered to all

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Speaker 1: of the girls and really insisted they take not even

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Speaker 1: one serving, but two. And they recounted that they had

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Speaker 1: these white chunks and them sprinkled throughout, and he was

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Speaker 1: really insistent that they only drink from their cup. They

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Speaker 1: had different color straws indicating cups his daughter. At one

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Speaker 1: point he thought his daughter and one of the other

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Speaker 1: girls swapped cups and he started freaking out, and they

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Speaker 1: were like, what is this dude's deal. So they go

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Speaker 1: to bed around midnight, and one of the girls didn't

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Speaker 1: drink the smoothie. She only took a couple of SIPs

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Speaker 1: and thought something was weird and thought it tasted bad,

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Speaker 1: so she kind of didn't like was able to hide

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Speaker 1: it and not drink the whole thing, so she was

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Speaker 1: kind of awake when he comes down in the basement

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Speaker 1: and starts checking on them to see if they're awake.

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Speaker 1: He's putting his finger under their nose to see if

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Speaker 1: they're sound asleep. He moved the girl next to her body.

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Speaker 1: He was going into another bedroom in the basement where

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Speaker 1: the other girls were sleeping. So she starts freaking out

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Speaker 1: and text her mom frantically at one o'clock, well it

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Speaker 1: was near two o'clock in the morning, was like, please

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Speaker 1: come get me. I don't feel safe. You're knocked out

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Speaker 1: at two o'clock in the morning as an adult, right,

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Speaker 1: So she just kept texting people on her phone until

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Speaker 1: she finally got a hold of a family friend that

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Speaker 1: came and picked her up in the middle of the night.

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Speaker 1: So when this girl gets home and tells the whole thing,

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Speaker 1: do her mom, her mom closed the other parents and

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Speaker 1: they go to pick the kids up. But when they

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Speaker 1: go to the house, the dad's really resisting the whole

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Speaker 1: thing and just saying they're still asleep, don't bother them.

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Speaker 1: They had a really good time, blah blah blah. So

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Speaker 1: they're not having that. So one of the girl's parents

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Speaker 1: goes in and gets her daughter, and the girl is

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Speaker 1: totally out of sorts. She doesn't know what's going on.

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Speaker 1: She could barely keep her eyes open. She's walking really weird.

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Speaker 1: They take these girls to the hospital and it turns

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Speaker 1: out that the dead had drugged these smoothies.

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Speaker 2: Oh my god.

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Speaker 1: Yeah, So they got tested at the hospital and they

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Speaker 1: had benzo diazepines in their system, which is everybody's heard

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Speaker 1: of them, like xanax or valume, something like that, a klonipin,

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Speaker 1: and he crushed them up and put them inside of

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Speaker 1: their smoothies. A benzo diazepine is a central nervous It

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Speaker 1: makes the central nervous system depressed, which means that, yeah,

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Speaker 1: it's good when you have anxiety, it makes you ch

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Speaker 1: out and stuff, but it also can.

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Speaker 2: Give you amnesia.

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Speaker 1: It could be used as a date rape drug, which

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Speaker 1: we've heard of Rufie's before is a Benzodiazepean. Who knows

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Speaker 1: what the hell this guy which one he put in

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Speaker 1: their smoothie? But more importantly, what were his intentions? Well,

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Speaker 1: you know what really stuck it out to me is

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Speaker 1: for people that don't know me, I had this wonderful

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Speaker 1: couple Joan and Joe watched me when I was a

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Speaker 1: little kid, and I kind of got my obsession with

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Speaker 1: dramas and soap opera and true crime a little bit

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Speaker 1: from her because she obsessively watched soaps and calledemer stories

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Speaker 1: and I love that. But she was huge on Doctor

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Speaker 1: Phil And I want to say, about fifteen years ago,

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Speaker 1: we were watching an episode where this father had given

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Speaker 1: all these girls that his daughter's sleepover iced tea and

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Speaker 1: had drugged them or roofied them or something and was

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Speaker 1: sexually assaulting them in the middle of the night. But

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Speaker 1: one girl got suspicious to it because she was thinking,

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Speaker 1: every time I sleep here, I feel really weird the

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Speaker 1: next day when I wake up, so I'm not going

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Speaker 1: to drink this iced tea. And she caught him in

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Speaker 1: the act with one of her friends, Which how traumatic

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Speaker 1: is that as a little kid, So that story always

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Speaker 1: really stuck out to me. And you know, the topic

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Speaker 1: of sleepovers has been coming up a lot. Is it

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Speaker 1: appropriate anymore? Some trauma therapists say that a lot of

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Speaker 1: cases they get, kids are assaulted when they're at sleepovers

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Speaker 1: by you know, an older brother, a father, a strange

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Speaker 1: person in the house. I just I don't know how

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Speaker 1: to feel about it. I mean, I'm just kind of

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Speaker 1: I'm kind of over sleepovers anyway, because my girls are

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Speaker 1: of age, and every time they have a sleepover, it's

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Speaker 1: like they're up all night, they get in a fight

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Speaker 1: with one of the sisters, there's like all this drama

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Speaker 1: their dickheads the next morning. Like, I'm very selective anymore

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Speaker 1: about what kid I let sleepover and how how often

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Speaker 1: I allow that, just because there's just there's just too

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Speaker 1: much to deal with surrounding it. And my kids they've

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Speaker 1: never slept they they've slept at a friends once one

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Speaker 1: time each so that's it. I just we don't really

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Speaker 1: do it fortunately. And yeah, I mean if you interrupview

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Speaker 1: all these parents, would they say that they knew that

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Speaker 1: this was happening, that they were suspicious of this guy

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Speaker 1: doing anything like this?

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Speaker 2: I don't know.

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Speaker 1: I mean, luck I guess we could say luckily they

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Speaker 1: only ended up getting high, but really they could have

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Speaker 1: died from this because it decreases your respiration rate. You

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Speaker 1: can die from this. People overdose on this kind of

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Speaker 1: stuff all the time, and it's just it's just not cool. Like,

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Speaker 1: do you have any examples of some of the text

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Speaker 1: messages that these kids were sending I was reading in

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Speaker 1: the article they were saying just you know, like help me,

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Speaker 1: I don't feel good, just really alarming things. Imagine just

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Speaker 1: being a parent and getting text messages thinking that and

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Speaker 1: a a kid that's twelve years old, they don't or

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Speaker 1: percent know that they're drugged, or because they haven't experimented

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Speaker 1: with anything, they might have taken like benadryl or something before.

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Speaker 1: But to think that that that girl, at least one

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Speaker 1: of them was smart enough to be like, something isn't

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Speaker 1: right here. I mean, at twelve years old, is just

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Speaker 1: is really good? And they came back and said that

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Speaker 1: what was the dad going through a divorce or something

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Speaker 1: like that? Well, he so he just turned himself in

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Speaker 1: last week and is just filing for divorce. So I

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Speaker 1: don't know if they were going through a separation at

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Speaker 1: the time or had planned a divorce. Also, why did

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Speaker 1: it take so long for him to have to turn

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Speaker 1: himself in? That was kind of confusing to me. If

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Speaker 1: this happened back in August, I mean that annoys the

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Speaker 1: shit out of me because if they knew that this happened,

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Speaker 1: why wasn't he in jail the next day?

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Speaker 2: Like, I'm serious.

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Speaker 1: Exactly, and these were twelve year old he he It's

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Speaker 1: not like he just drugged the daughter's friends. He drugged

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Speaker 1: the daughter as well, but just the three of them

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Speaker 1: had been brought to the hospital, not the daughter. But

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Speaker 1: you have to think, these are twelve year old girls

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Speaker 1: and it's just really disgusting behavior.

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Speaker 2: Was was he doing this?

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Speaker 1: Because because I know, like the few times that I've

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Speaker 1: had kids sleep here, sometimes I'll say, like, hey, can

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Speaker 1: the kids take a melotonein gummy at like eleven o'clock

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Speaker 1: so they could start winding down?

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Speaker 2: Was that his intention? Just to have them?

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Speaker 1: I mean, listen, benzodiazepines for children are absolutely over the top.

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Speaker 1: But what or was he planning on sexually? I mean,

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Speaker 1: I feel like he was probably planning on sexually assaulting

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Speaker 1: them because why was he going downstairs and trying to

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Speaker 1: check to make sure that they were really asleep like that?

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Speaker 1: Like why would why would he care if they weren't

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Speaker 1: making noise? You know? Yeah, I mean you could. You

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Speaker 1: can not that it makes it right, but you could

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Speaker 1: see that he might do it to like get them

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Speaker 1: to shut up and go to bed, right, But like

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Speaker 1: the fact that he was going down there and not

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Speaker 1: just making sure they're awake, like oh, oh shit, did

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Speaker 1: I give them too much? The fact that he was

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Speaker 1: like moving their bodies around, and I don't like that.

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Speaker 1: I mean, no matter what, this story isn't right, but

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Speaker 1: I just feel like there was really ill intent behind

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Speaker 1: the whole thing. And my mind immediately went to that

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Speaker 1: Doctor Phil episode from so long ago, because I just

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Speaker 1: remembered hearing the perspective of the girls that had to

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Speaker 1: go through that and how absolutely horrific it was and

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Speaker 1: how scary it must be. I mean, sleepover's Eye with

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Speaker 1: my best friends when I was little kids, or some

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Speaker 1: of my best memories of my childhood. I can't imagine

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Speaker 1: my trust being violated in this manner at all. Yeah,

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Speaker 1: it really, it really sucks, And I just keep thinking

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Speaker 1: about those parents, like if that, if that happened to

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Speaker 1: me and my kids, Like I don't know if it

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Speaker 1: would go down like this, because I'm pretty sure that

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Speaker 1: Gabe and I would want to take matters into our

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Speaker 1: own hands and not just like wait for this guy

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Speaker 1: to turn himself in, because I just I can't imagine

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Speaker 1: just like sitting back and being like, you know what,

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Speaker 1: I'm gonna let the legal system work.

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Speaker 2: This out for us.

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Speaker 1: Well, it clearly took a long time. So okay, okay,

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Speaker 1: let's get into celebrity news. This is another really sad story.

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Speaker 1: So Sister Wives star Janelle She is one of the

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Speaker 1: Sister Wives. Her son, Garrison Brown, has been found dead

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Speaker 1: at age twenty five from an apparent suicide. So Sister

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Speaker 1: Wives came out in twenty ten. For those that are unfamiliar,

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Speaker 1: it's this show that follows around a polygamous family. So basically,

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Speaker 1: this guy, Cody Brown, is married to four women, but

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Speaker 1: only legally married to one of them. But they live

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Speaker 1: this lifestyle where you know, they all live in separate

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Speaker 1: houses or a one time they have won big house

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Speaker 1: with separate sections. So he kind of bounces between the families,

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Speaker 1: which is definitely not a usual dynamic. It's polygamy is

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Speaker 1: a branch of Mormonism, but is now it's not acceptable

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Speaker 1: by modern day Mormons. They really shun those people out.

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Speaker 1: It's illegal in many states. So this family's just been

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Speaker 1: bouncing all around the country a trying to figure out

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Speaker 1: where to live. And then you know, this show has

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Speaker 1: been on for the last fourteen years. This kid was

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Speaker 1: eleven years old, when this show first came out. So

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Speaker 1: he's in this really untraditional family dynamic to begin with,

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Speaker 1: and then all of a sudden, you throw cameras in

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Speaker 1: your phase twenty for seven for most of your life,

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Speaker 1: and it's just really horrible to see. We don't really

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Speaker 1: know if him being on the show was a direct

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Speaker 1: result of him taking his own life, but I don't

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Speaker 1: think it helped that he was under this kind of

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Speaker 1: pressure all the time. Yeah, I know, there's multiple studies

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Speaker 1: that have been done that say that children of celebrities

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Speaker 1: have an increased risk of alcoholism and depression, and the

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Speaker 1: same could be said about children that are in polygamous

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Speaker 1: relationships and the result of that, so they have more

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Speaker 1: mental health problems, more social problems, And I think it's

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Speaker 1: the combination of both things that.

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Speaker 2: You could agree.

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Speaker 1: And it's just like it's just like a really shitty

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Speaker 1: time of life right now too. It's just a combination

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Speaker 1: of everything. I mean, think about the pandemic and everything,

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Speaker 1: and already being vulnerable and then going through lockdowns and

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Speaker 1: this and that, Like it just took a toll on him.

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Speaker 1: And it's just really sad to see because when the

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Speaker 1: show started, Maria and I used to watch it. I mean,

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Speaker 1: I admitted, it's like one of the trash TV shows

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Speaker 1: that we used to watch. And yeah, like it's just

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Speaker 1: sad to see like a little kid now he's grown

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Speaker 1: up and he chose to do this.

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Speaker 2: It's just really sad.

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Speaker 1: Well it's not only that, but so, you know, they

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Speaker 1: have this really unconventional family dynamic, and then it kind

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Speaker 1: of starts crumbling when COVID happened and the lockdown happened.

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Speaker 1: The dad, who is kind of the central point of

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Speaker 1: this entire dynamic, decides he wants to permanently reside with

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Speaker 1: his you know, his latest youngest wife, right, so he

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Speaker 1: kind of shut himself off from his three other families essentially,

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Speaker 1: which created a lot of strain with the other wives.

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Speaker 1: They've now since all left him, only with the fourth

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Speaker 1: wife at this time. So you have to think you're

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Speaker 1: going through this really unusual dynamic. Then you guys are

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Speaker 1: reality stars, you know, then everything you've ever known is

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Speaker 1: crumbling before you. The first wife, Lee or the third

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Speaker 1: wife left first, and then this guy's mother left second.

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Speaker 1: So they announced they were separated in December of twenty

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Speaker 1: twenty two. Publicly. In the last season, the father was

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Speaker 1: saying he had a strained relationship, specifically with this kid

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Speaker 1: and one of his brothers, and it was due to

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Speaker 1: just the lockdown, him not spending time with them. They're

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Speaker 1: not communicating, And as I see this unfold, it seems

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Speaker 1: like the families just in shambles and hates the dad

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Speaker 1: now and so resides. The families in shambles that you

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Speaker 1: could have never foresaw that when people get married to

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Speaker 1: three different people. So I do feel a complete shocker.

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Speaker 1: I do feel really horrible for the mother. Apparently he

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Speaker 1: sent this really bizarre text message to some people they

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Speaker 1: had worked with at TLC, and that forced her to

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Speaker 1: call him, and he seemed okay on the phone, but

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Speaker 1: then when he stopped responding, she asked one of her

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Speaker 1: other children to go check on him, and that's who

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Speaker 1: ended up finding him deceased. So it's just really it's

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Speaker 1: really really sad to see. And I think this is

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Speaker 1: one of the first reality suicides we've seen in a while,

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Speaker 1: since Taylor Armstrong's husband Russell had died by suicide on

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Speaker 1: Real Housewives of Beverly Hills all those years ago. Yeah,

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Speaker 1: and I'm sure, I mean reality TV shows haven't been

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Speaker 1: on too long, so you might see that increasing more

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Speaker 1: depending on what's happening with especially when little kids are involved.

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Speaker 2: They're just like yeah, and they're a huge fan of that.

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Speaker 1: And the cameras were rolling. They're filming right now, So

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Speaker 1: the production needs to make a choice. Are they going

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Speaker 1: to show this to try to shed light on the

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Speaker 1: dangers of this or are they going to give the

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Speaker 1: family their respect? Personally, I don't think this is appropriate

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Speaker 1: for them to show them going through this at this time,

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Speaker 1: but that's not up to me. I'm not the cable executive.

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Speaker 1: Obviously it'll draw major ratings, but is that what it's about, Like,

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Speaker 1: this family's going through this terrible event right now, that's

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Speaker 1: what it's always about. Yeah, So onto the next story.

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Speaker 1: We have fashion icon iris Atfell has died at one

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Speaker 1: hundred and two years old. This lady was so cool.

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Speaker 1: I always loved looking at her fashion, her interior design.

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Speaker 1: She was awesome. She's she's like so cool. I hope

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Speaker 1: I look cool like that when I get old, Like

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Speaker 1: and it's it's really interesting because there's not that many people.

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Speaker 1: It's like one in five thousand people live over one

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Speaker 1: hundred years old, and so it's it's pretty remarkable that

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Speaker 1: she lived so long, and it's great because she was

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Speaker 1: just such a great person and a great inspiration.

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Speaker 2: So it's really.

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Speaker 1: Cool that why don't you describe who she is because

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Speaker 1: I think that a lot of people might not know

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Speaker 1: her name, but they know exactly who she is if

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Speaker 1: they saw a photo. Okay, So kind of getting into

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Speaker 1: her life. So from nineteen fifty to nineteen ninety two,

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Speaker 1: her and her husband had this textile company, so they

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Speaker 1: actually had a contract with the White House. That spot

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Speaker 1: spanned nine presidencies, so she did interior textiles for all

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Speaker 1: these presidents, to which I thought this was hilaria. She said,

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Speaker 1: many of the first ladies did not have good taste. Yeah,

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Speaker 1: except Jackieyo, right, Like, yeah, it's probably true that I

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Speaker 1: haven't seen one that's had like their own individual fashion

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Speaker 1: like that that's been like iconic, you know exactly. So

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Speaker 1: from that she kind of became this New York social light,

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Speaker 1: and in the eighties and nineties she became this fashion icon.

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Speaker 1: She you know, costume jewelry in the fashion world for

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Speaker 1: a long time was really shit on, and she really

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Speaker 1: embraced that. She loves shotski, She loves wearing these outrageous,

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Speaker 1: big black round glasses. That's what her most notable look is.

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Speaker 1: She's always wearing a million necklaces, colorful clothing. She really

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Speaker 1: was awesome. She called herself a geriatric starlet, which I

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Speaker 1: absolutely love. That's great. So she really drew a critical

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Speaker 1: acclaim in two thousand and five because she did a

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Speaker 1: show at the Costume Institute at the met which featured

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Speaker 1: her personal collection of costume jewelry styled with clothing she

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Speaker 1: had worn. So after that, she just does iris boom happened.

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Speaker 1: Everybody knew about her. They thought she was the coolest person. Rightfully,

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Speaker 1: so she was awesome. And at ninety seven years old,

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Speaker 1: she signed with IMG Models, which is a huge accomplishment

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Speaker 1: because some of our world's biggest models we know today

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Speaker 1: don't even sign with a modeling agency that large. So

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Speaker 1: just last week she died in her home in Palm Beach.

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Speaker 1: She was one hundred and two years old. That followed

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Speaker 1: her husband, who died in twenty and fifteen at one

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Speaker 1: hundred years old. That's I love this that I want

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Speaker 1: to know how old her parents were when they died,

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Speaker 1: because there definitely is a genetic portion to this. Yeah,

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Speaker 1: my grandmom which is my dad's mom lived to be

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Speaker 1: ninety nine, just a few months short of her hundredth birthday,

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Speaker 1: and she I'll tell you she had good jeans, obviously

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Speaker 1: as part of it, but she also had a pretty

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Speaker 1: good lifestyle. She cooked all the time, she always ate fruit.

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Speaker 1: She didn't drive, like both of my grandmoms just didn't drive.

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Speaker 1: But I get yours to my life. I like get

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Speaker 1: that because I'm about at that stage where I'm just

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Speaker 1: kind of like overdriving. Oh you mean when I had

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Speaker 1: to drive you to your nail appointment yesterday like you

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Speaker 1: were a ninety five year old woman. Yes, well, it's

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Speaker 1: because my car is out of service. Don't act like

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Speaker 1: I'm that much of a princess, but I do. I do.

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Speaker 1: I do see that for sure. But anyway, she walked.

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Speaker 1: My grandma walked everywhere. She rode a bike until she

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Speaker 1: had this like adult sized tricycle that she rode every

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Speaker 1: day in the summer until she was ninety three, I think.

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Speaker 1: And the only reason she stopped is because she fell

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Speaker 1: and broke her hip. But there's a lot to be

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Speaker 1: said by that, and just walking every day is like

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Speaker 1: a huge is a huge thing, and I think that

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Speaker 1: it's I just think that this woman was, you know,

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Speaker 1: an inspiration and just so positive and I love her

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Speaker 1: and I'm kind of bummed out that she died, but

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Speaker 1: I mean, I'm happy for her that she got and

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Speaker 1: her family that she got to live such a long life. Yeah. Absolutely, Okay,

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Speaker 1: this next one's pretty outrageous.

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Speaker 2: You know what I was.

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Speaker 1: I was texting Gandhi this morning at like three o'clock

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Speaker 1: in the morning because I obviously, like I never sleep.

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Speaker 1: She's like, what do you doing a week? And I'm like,

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Speaker 1: I'm reading about Halle Baber's sister throwing a tampon at somebody.

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Speaker 1: Oh my god, what did she say to that? Oh?

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Speaker 1: She was just like that story is so outrageous, and

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Speaker 1: I'm like, yeah, yeah, it is. We need to talk

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Speaker 1: about this for sure. Oh yeah, absolutely. So Aliyah Baldwin

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Speaker 1: Aaron Now, who is Haley Bee Bieber's sister and Steven

378
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Speaker 1: Baldwin's daughter. She's my age thirty one years old, was

379
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Speaker 1: charged after throwing a tampon at a bartender in Savannah, Georgia.

380
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Speaker 1: So around two thirty in the morning, she was out

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Speaker 1: with friends when she forced herself into a locked employee bathroom.

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Speaker 1: The only female bartender at the time, of course, was

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Speaker 1: sent in there to deal with it. I have been

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Speaker 1: in this position many times at my job, being the

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Speaker 1: only female bartender for a long time. They asked if

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Speaker 1: she asked Aliyah to leave the bathroom, but allowed her

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Speaker 1: a few minutes to change her tampon. When she went

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Speaker 1: back in, she threw the tampon at her. Security came

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Speaker 1: in to remove her. She kicked one in the genital

390
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Speaker 1: yanked a portion of the other one's hair out before

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Speaker 1: she left, and then the cop said to get involved. Okay,

392
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Speaker 1: that is just seriously some nasty bitch shit, Like who

393
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Speaker 1: does that? No, it's disgusting. I mean, even if you're

394
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Speaker 1: drunken stuff like that's that's like really gross. No, like that,

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Speaker 1: you deservely be more stunched in the face. That's like

396
00:20:59,760 --> 00:21:02,480
Speaker 1: where than like throwing poop at somebody. I think it's

397
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Speaker 1: just it's just like the highest level of nastiness. It

398
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Speaker 1: really is disgusting. And if you're even if you're doing

399
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Speaker 1: that when you're drunk, you need to get a hold

400
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Speaker 1: of yourself. It's totally unacceptable. Well, do you think that

401
00:21:13,840 --> 00:21:17,480
Speaker 1: she's got this like rich kid, famous dad, famous sister,

402
00:21:17,800 --> 00:21:20,480
Speaker 1: syndrome like thinking, oh, I'm not gonna go in the

403
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Speaker 1: regular bathroom, I'm just gonna go in the employee bathroom

404
00:21:22,920 --> 00:21:25,520
Speaker 1: because I'm somebody kind of thing. Yeah, I mean, I

405
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Speaker 1: think a lot of people have that mentality, like they

406
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Speaker 1: I'll get out of it, or I'm a notable name,

407
00:21:31,359 --> 00:21:34,640
Speaker 1: so they won't tell me no because they don't want

408
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Speaker 1: me to blow up their spot right and call them

409
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Speaker 1: out online. But I just think the day and age

410
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Speaker 1: of people acting like that is over, so we need

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Speaker 1: to adjust that.

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Speaker 2: She won't get in any trouble.

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Speaker 1: But you know, I'm wondering how this, how this is,

414
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Speaker 1: because how this is going to be charged, because technically

415
00:21:53,840 --> 00:21:59,680
Speaker 1: you're you could you're giving someone an exposure to bloodborne pathogens, bacteria, viruses,

416
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Speaker 1: Like I don't know if that's on any kind of

417
00:22:02,560 --> 00:22:06,119
Speaker 1: a different level. I always thought I always thought this

418
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Speaker 1: was weird. Like I'd be at work right and just

419
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Speaker 1: dissecting organs or doing autopsies, and then like all the

420
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Speaker 1: paper towels and stuff that I use, I would just

421
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Speaker 1: have to throw in a biohazard bag, right, And then

422
00:22:17,119 --> 00:22:19,480
Speaker 1: sometimes this is when I was like getting tattooed all

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Speaker 1: the time. I would go to to go get tattooed,

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Speaker 1: and then they're wiping blood off my arm with a

425
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Speaker 1: tattoo and then just put the bloody paper tail in

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Speaker 1: a trash can. And I always used to think, like

427
00:22:30,000 --> 00:22:32,840
Speaker 1: that's kind of weird, you know, they like were so

428
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Speaker 1: specific in the hospital about putting bloody paper towels and

429
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Speaker 1: things in the trash can, and then we don't have

430
00:22:39,280 --> 00:22:41,639
Speaker 1: to do it at a tattoo shop. But then I

431
00:22:41,640 --> 00:22:43,800
Speaker 1: guess the guy that was tattooing me was like, yeah, well,

432
00:22:43,840 --> 00:22:46,159
Speaker 1: like if you throw out a pad or something in

433
00:22:46,359 --> 00:22:48,320
Speaker 1: the trash can, you don't have to do that either, right,

434
00:22:48,800 --> 00:22:52,280
Speaker 1: So it's interesting, but it doesn't matter. Like just because

435
00:22:52,320 --> 00:22:54,560
Speaker 1: the person's that you're doing an autopsy on someone in

436
00:22:54,560 --> 00:22:58,520
Speaker 1: the hospital doesn't mean that they're infectious. And it doesn't

437
00:22:58,560 --> 00:23:02,760
Speaker 1: mean that, you know, Halle Baber's sister is infectious.

438
00:23:02,280 --> 00:23:03,720
Speaker 2: Either, but she very well could be.

439
00:23:04,000 --> 00:23:09,320
Speaker 1: It doesn't to me have infections, it doesn't, but like

440
00:23:10,480 --> 00:23:12,480
Speaker 1: think of the severity of that, like if she has

441
00:23:12,560 --> 00:23:16,719
Speaker 1: any kind of sexually transmitted infections, if she has an

442
00:23:17,359 --> 00:23:21,159
Speaker 1: HIV hepatitis, could like live out on a countertop for

443
00:23:21,200 --> 00:23:26,119
Speaker 1: a couple weeks, Like right, it's just kind it's nasty bacteria,

444
00:23:26,240 --> 00:23:28,960
Speaker 1: yeast infection. Do you like, where did she throw it?

445
00:23:29,000 --> 00:23:31,320
Speaker 1: Did it just like throw it at her? Did it

446
00:23:31,359 --> 00:23:33,800
Speaker 1: touch her body? Did it hit her in the mouth

447
00:23:33,920 --> 00:23:36,280
Speaker 1: or the eye? Like I just I want to know

448
00:23:36,359 --> 00:23:39,920
Speaker 1: because she could have potentially had an exposure like that.

449
00:23:40,160 --> 00:23:42,600
Speaker 1: It said she threw it at the bartender, so I'm

450
00:23:42,640 --> 00:23:46,520
Speaker 1: not sure if it made contact, but regardless, absolutely repulsive behavior.

451
00:23:46,640 --> 00:23:49,320
Speaker 1: And so what happens, like the cops show up and

452
00:23:49,320 --> 00:23:52,200
Speaker 1: they just like they come in to take a statement

453
00:23:52,280 --> 00:23:54,520
Speaker 1: and they see a tampon sitting there on the floor,

454
00:23:54,720 --> 00:23:57,679
Speaker 1: just like, well, she'll probably get assault charges for what

455
00:23:57,760 --> 00:24:00,360
Speaker 1: happened to the security people, but I'm sure nothing will

456
00:24:00,400 --> 00:24:03,679
Speaker 1: happen to the most egregious offense, which was the tampon throwing.

457
00:24:03,840 --> 00:24:10,080
Speaker 1: Oh my god, Okay, onto freak accidents. So a group

458
00:24:10,119 --> 00:24:12,280
Speaker 1: of people in India went to dinner and ended up

459
00:24:12,280 --> 00:24:15,040
Speaker 1: in the hospital bleeding from their mouths and barfing after

460
00:24:15,080 --> 00:24:19,200
Speaker 1: they were accidentally served dry ice. I don't even understand

461
00:24:19,200 --> 00:24:21,040
Speaker 1: how this happened. It looks like they were trying to

462
00:24:21,080 --> 00:24:23,440
Speaker 1: give them like a pallet cleanser or something, yeah, which

463
00:24:23,480 --> 00:24:26,680
Speaker 1: they said was ice and sugar. So a waiter came

464
00:24:26,720 --> 00:24:29,560
Speaker 1: by the table and said, take this pallette cleanser, which

465
00:24:29,600 --> 00:24:32,119
Speaker 1: was ice and sugar. So these people immediately put in

466
00:24:32,160 --> 00:24:34,040
Speaker 1: their mouths, and the one person that didn't put it

467
00:24:34,080 --> 00:24:36,800
Speaker 1: in their mouth was this person holding a baby. So

468
00:24:36,960 --> 00:24:40,480
Speaker 1: that person ended up recording all of them puking up

469
00:24:40,560 --> 00:24:43,640
Speaker 1: blood and just throwing up in the restaurant. I guess

470
00:24:43,640 --> 00:24:47,440
Speaker 1: as proof that this horrible thing had happened. Yeah, but

471
00:24:47,440 --> 00:24:50,960
Speaker 1: but why was the guy recording when that was happening,

472
00:24:51,040 --> 00:24:53,920
Speaker 1: Like if you there's something weird about this, and he

473
00:24:54,119 --> 00:24:57,199
Speaker 1: was telling one of the people puking to call the cops,

474
00:24:57,560 --> 00:24:59,639
Speaker 1: like they couldn't even talk because they were throwing up

475
00:24:59,640 --> 00:25:02,760
Speaker 1: so bad. I don't know. I just think that there's

476
00:25:02,800 --> 00:25:05,159
Speaker 1: a little bit more to the story. Why if you

477
00:25:05,200 --> 00:25:08,080
Speaker 1: were out to dinner with with somebody and they were

478
00:25:08,119 --> 00:25:11,760
Speaker 1: giving you a palette cleanser, right, why would you be like,

479
00:25:11,840 --> 00:25:13,399
Speaker 1: you know what, let me take out my phone and

480
00:25:13,480 --> 00:25:16,760
Speaker 1: record this. It's just because now, I don't I think

481
00:25:16,800 --> 00:25:21,280
Speaker 1: the recording came after they started violently puking. Oh okay,

482
00:25:21,440 --> 00:25:23,720
Speaker 1: because it seemed like it was pretty early on that

483
00:25:23,880 --> 00:25:27,280
Speaker 1: he was, you know, just going to people and that

484
00:25:27,320 --> 00:25:29,479
Speaker 1: they were throwing up all over the place and stuff

485
00:25:29,520 --> 00:25:31,800
Speaker 1: like how what did he just automatically pull out the

486
00:25:31,840 --> 00:25:34,159
Speaker 1: camera like right away. I mean, that's the culture we

487
00:25:34,240 --> 00:25:36,480
Speaker 1: live in today. People don't want to help others. They

488
00:25:36,480 --> 00:25:40,159
Speaker 1: want to get it on TikTok. Yeah, right, I mean exactly,

489
00:25:40,280 --> 00:25:42,960
Speaker 1: but it I mean, so listen, we talked about the

490
00:25:43,080 --> 00:25:45,719
Speaker 1: dangers of dry ice a few weeks ago when we

491
00:25:45,720 --> 00:25:49,160
Speaker 1: were talking about it being used in a school from

492
00:25:49,440 --> 00:25:54,960
Speaker 1: some outside chemistry department thing was coming in and teaching

493
00:25:55,000 --> 00:25:57,879
Speaker 1: classes to kids, and then they the kids were in

494
00:25:57,920 --> 00:26:02,399
Speaker 1: an enclosed area that wasn't ventilated and had CO two exposure,

495
00:26:02,480 --> 00:26:04,840
Speaker 1: right that we talked about that a couple of weeks ago.

496
00:26:05,240 --> 00:26:08,240
Speaker 1: So if you eat it by accident, the same thing,

497
00:26:08,320 --> 00:26:10,359
Speaker 1: like the gases that emit off of it and stuff,

498
00:26:10,359 --> 00:26:12,880
Speaker 1: could cause you to get dizzy and give you all

499
00:26:12,920 --> 00:26:16,119
Speaker 1: the same symptoms of asphyxia because you can have carbon

500
00:26:16,240 --> 00:26:20,199
Speaker 1: dioxide toxicity. But you also because it's so cold, you

501
00:26:20,240 --> 00:26:23,720
Speaker 1: can get really bed burns. Like were they told to

502
00:26:23,800 --> 00:26:26,240
Speaker 1: just put this palette cleanser in their mouth and spit

503
00:26:26,320 --> 00:26:29,520
Speaker 1: it out or did they actually swallow it? Yeah, I'm

504
00:26:29,560 --> 00:26:32,320
Speaker 1: not sure. It said they had to go to the hospital.

505
00:26:32,359 --> 00:26:35,560
Speaker 1: They spent two days there recovering, while ultimately they're fine

506
00:26:35,600 --> 00:26:38,080
Speaker 1: and the restaurant owners on the run. So I don't

507
00:26:38,080 --> 00:26:42,200
Speaker 1: know what that's about. What is happening, Yeah, what goes on?

508
00:26:42,359 --> 00:26:43,960
Speaker 2: But I don't know.

509
00:26:45,160 --> 00:26:47,919
Speaker 1: So onto this next. This one is truly insane. So

510
00:26:48,600 --> 00:26:51,560
Speaker 1: after a four car accident on the Roger Clark Memorial

511
00:26:51,560 --> 00:26:55,840
Speaker 1: Bridge in Louisville, Kentucky, a semi truck slid off the

512
00:26:56,000 --> 00:27:00,040
Speaker 1: side and started dangling over the railing, suspended above the

513
00:27:00,080 --> 00:27:03,760
Speaker 1: Ohio River, with the female truck driver still in the cabin.

514
00:27:04,280 --> 00:27:07,280
Speaker 1: So if you watch this video of the rescue, it's

515
00:27:07,320 --> 00:27:10,240
Speaker 1: absolutely crazy. Did you show this to Gabe at all? Yeah?

516
00:27:10,280 --> 00:27:12,880
Speaker 1: I asked him about it, and he said he saw it,

517
00:27:12,920 --> 00:27:16,480
Speaker 1: and he's like, that guy needed another like a rope

518
00:27:16,480 --> 00:27:20,480
Speaker 1: strap whatever they call it. I forget he was criticizing it.

519
00:27:20,520 --> 00:27:23,840
Speaker 1: Where No, he said he needed that for his extra

520
00:27:23,960 --> 00:27:26,600
Speaker 1: balls because he's like that's he was like, just it

521
00:27:26,680 --> 00:27:28,639
Speaker 1: was a joke. He was like, that guy's got balls

522
00:27:28,680 --> 00:27:32,280
Speaker 1: to do that, like that was And I said, I

523
00:27:32,520 --> 00:27:34,360
Speaker 1: you know what exactly I said to him, iself, well,

524
00:27:34,400 --> 00:27:36,359
Speaker 1: I hope that doesn't happen in Camden because you'll be

525
00:27:36,359 --> 00:27:38,560
Speaker 1: the first person in line that'll try to do that.

526
00:27:38,800 --> 00:27:41,239
Speaker 1: I know, that's exactly what I thought too. So this

527
00:27:41,359 --> 00:27:46,280
Speaker 1: fireman goes on a harness down to the where the

528
00:27:46,359 --> 00:27:51,040
Speaker 1: truck cabin is suspended, which the image is just absolutely crazy,

529
00:27:51,560 --> 00:27:53,720
Speaker 1: and is able to get this woman out of the

530
00:27:53,760 --> 00:27:56,240
Speaker 1: cabin of the truck and pull her back to safety.

531
00:27:56,400 --> 00:27:59,919
Speaker 1: I could not even believe watching it. I was like,

532
00:28:00,520 --> 00:28:02,760
Speaker 1: you know, it was live on TV when it was happening,

533
00:28:02,760 --> 00:28:05,120
Speaker 1: so they had the whole footage, and I was shaking,

534
00:28:05,200 --> 00:28:09,520
Speaker 1: like what if they'veired something? Well, they just had. They've

535
00:28:09,560 --> 00:28:12,840
Speaker 1: been having rope rescues in New York Fire Department and

536
00:28:13,440 --> 00:28:16,240
Speaker 1: just when they go down and try. We have a

537
00:28:16,280 --> 00:28:19,040
Speaker 1: good video actually of one from like last year in

538
00:28:19,080 --> 00:28:21,359
Speaker 1: the Grosser room. Remember the lady was wearing a thong

539
00:28:21,480 --> 00:28:26,520
Speaker 1: or something. Yeah, yeah, And so the fireman was taking

540
00:28:26,520 --> 00:28:30,000
Speaker 1: this woman out of a window because her her apartment

541
00:28:30,080 --> 00:28:32,959
Speaker 1: was on fire, and she was wearing a thong because

542
00:28:33,080 --> 00:28:35,119
Speaker 1: I mean, she didn't expect that her house was going

543
00:28:35,200 --> 00:28:36,880
Speaker 1: to catch on fire and that she'd have to get

544
00:28:36,920 --> 00:28:39,800
Speaker 1: rescued out of the window. But when I see these

545
00:28:39,800 --> 00:28:42,840
Speaker 1: firemen going off the roof and doing these rope rescues,

546
00:28:43,360 --> 00:28:45,400
Speaker 1: I told Gabe I'm like, if you came to the

547
00:28:45,400 --> 00:28:47,760
Speaker 1: window and was like I'm gonna grab you and pull

548
00:28:47,800 --> 00:28:50,760
Speaker 1: you up outside of this high building, I would just

549
00:28:50,800 --> 00:28:53,440
Speaker 1: be like, I'm not going. I just can't even imagine

550
00:28:53,480 --> 00:28:57,080
Speaker 1: doing that. I'd be so scared. No, it's what happened

551
00:28:57,080 --> 00:29:00,760
Speaker 1: with this Lady's like really cool. She wasn't even really hurt.

552
00:29:00,760 --> 00:29:03,280
Speaker 1: They brought her to observe, but I think she was fine. No,

553
00:29:03,400 --> 00:29:06,040
Speaker 1: I think psychologically she was in that she was suspended

554
00:29:06,080 --> 00:29:09,040
Speaker 1: for forty minutes, so I think psychologically she was probably

555
00:29:09,080 --> 00:29:11,640
Speaker 1: just really scared. And you know, they were saying on

556
00:29:11,720 --> 00:29:14,520
Speaker 1: the news that the Ohio River was freezing and the

557
00:29:14,600 --> 00:29:17,200
Speaker 1: distance they were up above it would be equivalent to

558
00:29:17,240 --> 00:29:21,360
Speaker 1: smacking on concrete if you did fall. So this is

559
00:29:21,440 --> 00:29:25,400
Speaker 1: absolute best case scenario. Kudos to firefighter Bryce Carden on

560
00:29:25,480 --> 00:29:29,600
Speaker 1: his good efforts. That was really really really brave of

561
00:29:29,680 --> 00:29:32,440
Speaker 1: him to do. I can't like I would be crying.

562
00:29:32,960 --> 00:29:34,480
Speaker 1: I don't even know. I couldn't even I want to

563
00:29:34,480 --> 00:29:36,360
Speaker 1: cry to you. I know, I just want to cry

564
00:29:36,440 --> 00:29:39,800
Speaker 1: watching the video. Okay, So this next story happened in

565
00:29:39,840 --> 00:29:43,600
Speaker 1: South Jersey. A seventeen year old driver survived crashing into

566
00:29:43,640 --> 00:29:46,640
Speaker 1: a utility pole, but then was electrocuted to death when

567
00:29:46,640 --> 00:29:50,320
Speaker 1: he walked into the downpower line. I heard this on

568
00:29:50,440 --> 00:29:51,760
Speaker 1: the local news the other day.

569
00:29:51,800 --> 00:29:53,200
Speaker 2: It was just really sad.

570
00:29:53,000 --> 00:29:56,320
Speaker 1: And I think that you always, even when your kids

571
00:29:56,320 --> 00:29:58,800
Speaker 1: starts driving and stuff, you try to teach them everything.

572
00:29:58,800 --> 00:30:01,160
Speaker 1: And this is something that I will and even think about.

573
00:30:01,280 --> 00:30:05,880
Speaker 1: But actually the most electrocution death, so electrocution is when

574
00:30:05,960 --> 00:30:08,600
Speaker 1: you die from getting an electric shock. You can't get

575
00:30:08,640 --> 00:30:12,760
Speaker 1: electrocuted and survive that. Most of those deaths are actually

576
00:30:12,760 --> 00:30:17,360
Speaker 1: caused by high voltage power lines being down, and it's

577
00:30:17,440 --> 00:30:19,560
Speaker 1: just it sucks. It's like the kid got in an

578
00:30:19,560 --> 00:30:22,200
Speaker 1: accident and survived the accident, was able to walk out

579
00:30:22,240 --> 00:30:26,959
Speaker 1: of the accident and die this way. And it's just

580
00:30:26,960 --> 00:30:29,360
Speaker 1: like an important lesson for anyone, even if you're just

581
00:30:29,440 --> 00:30:31,760
Speaker 1: walking your dog around the block or something, just like

582
00:30:31,920 --> 00:30:35,200
Speaker 1: stay far and clear away from wires. I always if

583
00:30:35,240 --> 00:30:37,680
Speaker 1: I see them, I tell the kids, like, we're walking

584
00:30:37,720 --> 00:30:39,560
Speaker 1: on the opposite side of the street. I just like,

585
00:30:39,640 --> 00:30:43,040
Speaker 1: don't even want to be anywhere near those nets, because

586
00:30:43,160 --> 00:30:45,080
Speaker 1: if you don't know if they're alive, they just look

587
00:30:45,120 --> 00:30:49,360
Speaker 1: like this innocent little thing laying there and it's terrible. Yeah,

588
00:30:49,400 --> 00:30:51,719
Speaker 1: I mean you you just never know, and it's just

589
00:30:52,000 --> 00:30:54,920
Speaker 1: safe to try to avoid them altogether. I mean, we

590
00:30:54,960 --> 00:30:57,000
Speaker 1: had that story a couple of weeks ago where everybody

591
00:30:57,040 --> 00:31:00,560
Speaker 1: in the car ended up dying, right, getting a tricuted.

592
00:31:01,520 --> 00:31:04,640
Speaker 2: Yeah, and so this is what happened with in this case.

593
00:31:04,720 --> 00:31:07,320
Speaker 1: This kid hit a utility poll and it knocked the

594
00:31:07,360 --> 00:31:12,239
Speaker 1: wires over. If that ever happens to anyone, really you

595
00:31:12,280 --> 00:31:15,000
Speaker 1: should stay in the car and just called nine one one,

596
00:31:15,680 --> 00:31:19,200
Speaker 1: And they were saying this interesting thing, like if for

597
00:31:19,280 --> 00:31:21,520
Speaker 1: some reason you have to exit the car, because obviously

598
00:31:21,520 --> 00:31:23,120
Speaker 1: when there's a crash, there's a risk of the car

599
00:31:23,160 --> 00:31:25,080
Speaker 1: catching on fire and smoking and stuff. So if you

600
00:31:25,120 --> 00:31:27,800
Speaker 1: really have to exit the car, they say to like

601
00:31:28,120 --> 00:31:30,760
Speaker 1: take small shuffles when you walk, and keep your legs

602
00:31:30,760 --> 00:31:34,600
Speaker 1: together as close as possible because that will like be

603
00:31:34,720 --> 00:31:37,040
Speaker 1: the light the least chance that that would happen. But

604
00:31:37,640 --> 00:31:41,560
Speaker 1: and they also said to like if someone is like,

605
00:31:41,680 --> 00:31:44,800
Speaker 1: so let's say, for it instance, that kid got shocked

606
00:31:44,840 --> 00:31:48,720
Speaker 1: from from the wire, you shouldn't go try to help

607
00:31:48,800 --> 00:31:51,960
Speaker 1: him because you can then get shocked just by touching him,

608
00:31:52,000 --> 00:31:55,160
Speaker 1: you know what I mean. So it's it's one of

609
00:31:55,160 --> 00:31:59,040
Speaker 1: those those really scary things that you can't see, and

610
00:31:59,080 --> 00:32:01,240
Speaker 1: that I think that's why I like, it doesn't look

611
00:32:01,400 --> 00:32:04,080
Speaker 1: it doesn't look dangerous, but it's just so dangerous. Yeah,

612
00:32:04,080 --> 00:32:06,160
Speaker 1: And I think a lot of people just aren't thinking

613
00:32:06,200 --> 00:32:08,040
Speaker 1: because they have the shock of just getting in a

614
00:32:08,120 --> 00:32:10,840
Speaker 1: car accident and then they're just not thinking.

615
00:32:11,080 --> 00:32:11,920
Speaker 2: Just added to the list.

616
00:32:11,960 --> 00:32:13,760
Speaker 1: We should we should make a book of all the

617
00:32:13,800 --> 00:32:17,000
Speaker 1: things that you need to teach your kid about, because

618
00:32:17,080 --> 00:32:23,479
Speaker 1: just how to live your life in absolute fear. Seriously, Okay,

619
00:32:23,480 --> 00:32:26,880
Speaker 1: onto this next one. So this woman was on her

620
00:32:26,880 --> 00:32:30,040
Speaker 1: neck and her husband was mowing the lawn and something

621
00:32:30,200 --> 00:32:33,480
Speaker 1: flew at her from about six to nine meters away,

622
00:32:33,960 --> 00:32:38,200
Speaker 1: hit her neck, which sliced that and her shoulder open. Yeah,

623
00:32:38,200 --> 00:32:41,360
Speaker 1: she was lucky that it only left a laceration on

624
00:32:41,440 --> 00:32:43,600
Speaker 1: her neck, because they were saying it could have hit

625
00:32:43,640 --> 00:32:45,880
Speaker 1: her caroted artery, and that could have just been She

626
00:32:45,960 --> 00:32:49,720
Speaker 1: could have died from that, honestly, and we did so.

627
00:32:50,120 --> 00:32:54,200
Speaker 1: One of the Instagram followers sent me a photograph a

628
00:32:54,240 --> 00:32:57,520
Speaker 1: couple months ago and the post I titled was damaged

629
00:32:57,680 --> 00:33:01,240
Speaker 1: by decoration, and it was about her husband was mowing

630
00:33:01,280 --> 00:33:04,080
Speaker 1: the lawn and he ran over one of those garden

631
00:33:04,120 --> 00:33:08,400
Speaker 1: flags that you know everybody has those in the front lawn.

632
00:33:08,400 --> 00:33:10,320
Speaker 1: It's like a little steak and it has that little

633
00:33:10,360 --> 00:33:14,040
Speaker 1: cute flag hanging from it, and the metal from the

634
00:33:14,080 --> 00:33:18,720
Speaker 1: garden flag steak went into the lawnmower and it cut

635
00:33:18,760 --> 00:33:22,080
Speaker 1: the metal and it like ricocheted into his leg and

636
00:33:22,120 --> 00:33:25,120
Speaker 1: got impaled in the bone of his leg. Oh my god.

637
00:33:25,240 --> 00:33:27,800
Speaker 1: And I have pictures of the X ray and the

638
00:33:28,320 --> 00:33:31,160
Speaker 1: actual thing in his leg, which is just it's crazy,

639
00:33:31,200 --> 00:33:33,040
Speaker 1: but you need to think about that kind of stuff.

640
00:33:33,040 --> 00:33:36,920
Speaker 1: And this woman in particular thinks that her husband had

641
00:33:37,200 --> 00:33:39,920
Speaker 1: ran over a rock or something and that would a

642
00:33:40,040 --> 00:33:43,239
Speaker 1: rock flying at a speed like that would cause a

643
00:33:43,440 --> 00:33:48,400
Speaker 1: laceration like that in her neck. And actually in Australia

644
00:33:48,440 --> 00:33:53,160
Speaker 1: this week someone died from a lawnmower incident. So it happens,

645
00:33:53,240 --> 00:33:57,520
Speaker 1: and especially with the summer coming up. We at the

646
00:33:57,560 --> 00:34:01,160
Speaker 1: hospital it's a trauma unit. We used to get fingers

647
00:34:01,240 --> 00:34:04,200
Speaker 1: all the time from people because you're mowing your lawn,

648
00:34:04,760 --> 00:34:08,319
Speaker 1: especially if it's if it's longer, and the grass could

649
00:34:08,360 --> 00:34:11,040
Speaker 1: get lodged in the lawn mower and then it turns off.

650
00:34:11,080 --> 00:34:15,160
Speaker 1: It stops mowing, it stops working. And the first rule

651
00:34:15,320 --> 00:34:17,960
Speaker 1: is like turn it off before you check to see

652
00:34:18,000 --> 00:34:20,879
Speaker 1: why it's jammed. But a lot of people don't do that,

653
00:34:21,040 --> 00:34:25,880
Speaker 1: usually men and not talking shit, but it's just truey

654
00:34:26,080 --> 00:34:30,719
Speaker 1: And they go there and they unlodge the blade with

655
00:34:30,800 --> 00:34:33,279
Speaker 1: the grass and then it turns right back on and

656
00:34:33,320 --> 00:34:36,800
Speaker 1: like cuts off their fingers. And I've gotten hands in

657
00:34:37,120 --> 00:34:40,879
Speaker 1: surgical pathology that still have grass attached to it.

658
00:34:40,880 --> 00:34:43,080
Speaker 2: It's so gnarly. That's gross.

659
00:34:43,080 --> 00:34:46,200
Speaker 1: But her husband was a police officer and was able

660
00:34:46,239 --> 00:34:49,800
Speaker 1: to use his training to quickly get the situation under control,

661
00:34:50,920 --> 00:35:02,160
Speaker 1: So yeah, she's okay. Every week on Mother Knows That

662
00:35:02,360 --> 00:35:04,840
Speaker 1: we talk about all of these different stories that relates

663
00:35:04,880 --> 00:35:06,640
Speaker 1: to posts that we have in the Grosser Room, And

664
00:35:06,760 --> 00:35:08,840
Speaker 1: I think you guys would really love it if you

665
00:35:09,040 --> 00:35:12,040
Speaker 1: joined right now. You could join for only five ninety

666
00:35:12,160 --> 00:35:14,080
Speaker 1: nine a month and you get to see.

667
00:35:14,080 --> 00:35:15,360
Speaker 2: Multiple posts a week.

668
00:35:15,440 --> 00:35:20,040
Speaker 1: We have thousands of posts, pictures, videos over the course

669
00:35:20,080 --> 00:35:22,080
Speaker 1: of years. When did we start the gross Room in

670
00:35:22,080 --> 00:35:25,560
Speaker 1: twenty twenty nineteen, twenty nineteen, Yeah, And you can see

671
00:35:25,600 --> 00:35:28,520
Speaker 1: all the way back and it's just really awesome. If

672
00:35:28,560 --> 00:35:33,520
Speaker 1: you have an interest in any particular topic, you could

673
00:35:33,520 --> 00:35:35,879
Speaker 1: search by the title, like I was just telling you

674
00:35:35,920 --> 00:35:38,920
Speaker 1: about the guy that got impelled with the garden flag

675
00:35:39,480 --> 00:35:42,919
Speaker 1: and that is called damage by decoration. But you also

676
00:35:43,000 --> 00:35:45,319
Speaker 1: could just search like today, I didn't remember what I

677
00:35:45,360 --> 00:35:47,759
Speaker 1: called the post, so I just searched garden flag there

678
00:35:47,960 --> 00:35:51,760
Speaker 1: and lawnmower. If you search lawnmower, all the lawnmower accidents

679
00:35:51,760 --> 00:35:54,600
Speaker 1: will come up. So it's it's really awesome when we

680
00:35:54,640 --> 00:35:56,759
Speaker 1: have a great group of people in the grosser room.

681
00:35:56,880 --> 00:35:58,560
Speaker 2: So only five ninety nine a month.

682
00:35:58,840 --> 00:36:04,719
Speaker 1: Yeah, so visit the growth for more info. All right,

683
00:36:04,800 --> 00:36:07,840
Speaker 1: let's get started with violent crime. This is the most

684
00:36:07,920 --> 00:36:10,680
Speaker 1: repulsive story I ever heard in my life. Shame on

685
00:36:10,760 --> 00:36:16,680
Speaker 1: this woman. A Kentucky Senator, Karen Berg truly suggested during

686
00:36:16,680 --> 00:36:20,520
Speaker 1: a legislative committee meeting last week that allowing pedophiles access

687
00:36:20,560 --> 00:36:23,480
Speaker 1: to child sex dolls could help lessen their desire to

688
00:36:23,560 --> 00:36:28,880
Speaker 1: abuse children. This lady sucks so bad, and she shouldn't.

689
00:36:28,960 --> 00:36:31,560
Speaker 1: I can't even believe that she's a senator and she's

690
00:36:31,600 --> 00:36:36,000
Speaker 1: a lawmaker. She's the most This kind of mentality is

691
00:36:36,040 --> 00:36:39,560
Speaker 1: so disgusting. She was and you know, like you can't

692
00:36:39,640 --> 00:36:42,759
Speaker 1: listen to a word she says because she starts off

693
00:36:42,840 --> 00:36:47,280
Speaker 1: calling these people pedophiles, she calls minor attracted people. Okay,

694
00:36:47,840 --> 00:36:52,200
Speaker 1: Like get what anybody that uses that terminology should never

695
00:36:52,280 --> 00:36:55,360
Speaker 1: be allowed to be around children, and they really shouldn't

696
00:36:55,440 --> 00:36:58,120
Speaker 1: be allowed to be around society, to be honest, it's

697
00:36:58,239 --> 00:37:02,280
Speaker 1: so gross. Children are not a sexual preference. It's a crime.

698
00:37:02,880 --> 00:37:04,440
Speaker 2: It's so is a crime.

699
00:37:04,480 --> 00:37:08,239
Speaker 1: Stop accommodating them. Calling them maps is accommodating to a

700
00:37:08,320 --> 00:37:09,880
Speaker 1: repulsive crime.

701
00:37:10,280 --> 00:37:11,400
Speaker 2: Stop it.

702
00:37:11,400 --> 00:37:14,520
Speaker 1: It's a crime. It's it's seriously, is like we talk

703
00:37:14,600 --> 00:37:18,120
Speaker 1: about all of these stories every week about kids, like

704
00:37:18,320 --> 00:37:20,200
Speaker 1: just the one we were talking about about the dad

705
00:37:20,560 --> 00:37:23,680
Speaker 1: drugging the kids with smoothies and everything. It's like, this

706
00:37:23,960 --> 00:37:28,520
Speaker 1: is a problem. It is. It's so underreported. I mean,

707
00:37:28,560 --> 00:37:32,000
Speaker 1: it's estimated that there's like forty two million people living

708
00:37:32,040 --> 00:37:34,800
Speaker 1: in the America right now that are victims of childhood

709
00:37:34,840 --> 00:37:38,839
Speaker 1: sexual abuse. And you're gonna go on and say, like, oh,

710
00:37:38,880 --> 00:37:41,960
Speaker 1: they if they had these sex dolls though, they would

711
00:37:41,960 --> 00:37:44,160
Speaker 1: have a release. You know what. The worst part is

712
00:37:44,200 --> 00:37:46,960
Speaker 1: actually this lady is a doctor. Yeah, and it's like,

713
00:37:47,680 --> 00:37:50,680
Speaker 1: suck your gross, yeah, go fuck yourself. So the comments

714
00:37:50,680 --> 00:37:53,640
Speaker 1: we're in response to House Bill two seven, which would

715
00:37:53,640 --> 00:37:56,960
Speaker 1: make it illegal to possess, traffic, import, or promote a

716
00:37:57,040 --> 00:38:00,680
Speaker 1: child sex doll as well as criminalized the distribution of

717
00:38:00,800 --> 00:38:04,000
Speaker 1: computer generated images that depict a minor being sexually abused.

718
00:38:04,040 --> 00:38:08,640
Speaker 1: So that wraps in AI. So unanimously this bill was voted,

719
00:38:08,680 --> 00:38:11,480
Speaker 1: and except miss Berg had to chime in with her

720
00:38:11,640 --> 00:38:15,960
Speaker 1: ill research comment. And it's just it's inaccurate. It's disgusting.

721
00:38:16,040 --> 00:38:18,320
Speaker 1: I wouldn't want to be around this woman. I wouldn't

722
00:38:18,320 --> 00:38:20,719
Speaker 1: want any children to be around this woman. I just

723
00:38:20,760 --> 00:38:25,000
Speaker 1: don't understand how you could even try to defend this behavior.

724
00:38:25,080 --> 00:38:28,080
Speaker 1: It is absolutely disgusting. And if anything, from all of

725
00:38:28,080 --> 00:38:32,000
Speaker 1: our conversations about child predators, especially in our conversations with

726
00:38:32,040 --> 00:38:35,880
Speaker 1: doctor DAWs, you learned that it's based off of escalation.

727
00:38:36,360 --> 00:38:39,759
Speaker 1: So what is going to make a predator not do

728
00:38:39,880 --> 00:38:44,080
Speaker 1: the not use these dolls and then escalate to wanting

729
00:38:44,160 --> 00:38:47,200
Speaker 1: to be use the real thing, right, So like, what

730
00:38:47,360 --> 00:38:49,560
Speaker 1: is she even talking about? And they all have come

731
00:38:49,600 --> 00:38:52,640
Speaker 1: out and said her research is it's illegitimate.

732
00:38:54,200 --> 00:38:56,040
Speaker 2: I saw I know where she got it from.

733
00:38:56,080 --> 00:38:58,600
Speaker 1: I saw the paper she's she did a lazy Google search,

734
00:38:58,640 --> 00:39:02,440
Speaker 1: that's what she did, and that research paper was referring

735
00:39:02,440 --> 00:39:05,200
Speaker 1: to these people as minor attractive persons. So I just

736
00:39:05,239 --> 00:39:08,719
Speaker 1: wouldn't even read that fucking paper because we need to

737
00:39:08,880 --> 00:39:13,239
Speaker 1: like set boundaries that like children are off limits, and

738
00:39:13,320 --> 00:39:17,680
Speaker 1: like you using terminology like that is making it okay

739
00:39:17,760 --> 00:39:20,200
Speaker 1: and not as bad for them to do what they're doing.

740
00:39:20,280 --> 00:39:24,160
Speaker 1: And it's so messed up. Those people are equally as

741
00:39:24,200 --> 00:39:26,960
Speaker 1: to blame as pedophiles are. They should not be standing

742
00:39:27,040 --> 00:39:28,879
Speaker 1: up for people like that. No, and people can think

743
00:39:28,920 --> 00:39:30,960
Speaker 1: our stance is extreme, but I don't care when it

744
00:39:30,960 --> 00:39:33,319
Speaker 1: comes to child safety. I don't care. That was a

745
00:39:33,360 --> 00:39:35,680
Speaker 1: fucked up thing to say. And you don't deserve to

746
00:39:35,719 --> 00:39:38,520
Speaker 1: be in the verne I bye, you don't. You don't

747
00:39:38,560 --> 00:39:41,799
Speaker 1: deserve to be in society. That's how I look at it. No, Like,

748
00:39:42,000 --> 00:39:44,600
Speaker 1: get out of here, all right, off the ramp, because

749
00:39:44,600 --> 00:39:46,720
Speaker 1: I've been pissed off about this for a couple of days.

750
00:39:47,320 --> 00:39:49,120
Speaker 1: You know what, I'm more pissed off about that, like

751
00:39:50,080 --> 00:39:52,879
Speaker 1: more people are not completely outraged by this shit.

752
00:39:53,440 --> 00:39:55,680
Speaker 2: And it's not just her, It's not just her.

753
00:39:55,800 --> 00:39:59,480
Speaker 1: Like there's this whole entire movement of people calling these

754
00:39:59,520 --> 00:40:04,480
Speaker 1: people attractive persons like it's it's seriously is so disturbing,

755
00:40:05,000 --> 00:40:08,640
Speaker 1: And what was once was considered to be totally off

756
00:40:08,680 --> 00:40:11,960
Speaker 1: limits is now like we should have a conversation about

757
00:40:12,000 --> 00:40:14,960
Speaker 1: and you're just like, shot, there's no conversation. It's there's

758
00:40:15,040 --> 00:40:19,040
Speaker 1: no conversation. There's hundreds of years of evidence to suggest

759
00:40:19,080 --> 00:40:21,880
Speaker 1: that sexually exploiting children at a young age has been

760
00:40:21,920 --> 00:40:25,640
Speaker 1: extremely detrimental to their mental health and life growing up.

761
00:40:26,160 --> 00:40:28,440
Speaker 1: I just don't we want to accommodate, we want don't

762
00:40:28,440 --> 00:40:31,440
Speaker 1: accommodate this sexual preference. What's wrong with that, But we

763
00:40:31,480 --> 00:40:35,520
Speaker 1: don't accommodate people that commit crimes of this nature. So

764
00:40:35,640 --> 00:40:38,680
Speaker 1: that's that. Yeah, I just I just and and to

765
00:40:38,719 --> 00:40:41,600
Speaker 1: think like you're a physician, like that's that's so you

766
00:40:41,640 --> 00:40:44,920
Speaker 1: go on national TV as a public figure and you

767
00:40:45,040 --> 00:40:47,360
Speaker 1: quick google searched something and came up with some shitty

768
00:40:47,360 --> 00:40:48,760
Speaker 1: paper and that's what you're quoting.

769
00:40:48,840 --> 00:40:50,680
Speaker 2: Like you sound like an asshole, dude.

770
00:40:51,320 --> 00:40:53,640
Speaker 1: And I'm especially fired up about it because we covered

771
00:40:53,680 --> 00:40:57,160
Speaker 1: Jeffrey Epstein's autopsy the last two weeks in the Grossroom,

772
00:40:57,239 --> 00:40:59,680
Speaker 1: and you know, reading about how this went on for

773
00:40:59,719 --> 00:41:02,799
Speaker 1: decads and people were just covering him and whatever, it

774
00:41:02,840 --> 00:41:05,640
Speaker 1: makes you really question society and this is disgusting and

775
00:41:05,680 --> 00:41:08,480
Speaker 1: I I will strongly speak about it. I think it's

776
00:41:08,520 --> 00:41:10,520
Speaker 1: a hard I think it was a horrible thing to say.

777
00:41:10,960 --> 00:41:14,200
Speaker 1: And even if you know, now she's backtracking, being like

778
00:41:14,280 --> 00:41:18,560
Speaker 1: I didn't research properly, you're taking your words out of context,

779
00:41:18,560 --> 00:41:21,360
Speaker 1: and it's like, actually, we're not. You can you can

780
00:41:21,760 --> 00:41:23,640
Speaker 1: if you look at the link on the video, you

781
00:41:23,680 --> 00:41:26,200
Speaker 1: can listen to the video and listen to her and

782
00:41:26,280 --> 00:41:30,040
Speaker 1: her own words, and and just you sit there and

783
00:41:30,040 --> 00:41:32,520
Speaker 1: you're listening to her and you're like, dude, what are

784
00:41:32,520 --> 00:41:37,200
Speaker 1: you saying right now? This this is completely outrageous. Well

785
00:41:37,200 --> 00:41:39,759
Speaker 1: now she's like, oh, I have supported the bill. Well

786
00:41:39,760 --> 00:41:42,320
Speaker 1: did you actually support the bill because it didn't seem

787
00:41:42,320 --> 00:41:44,239
Speaker 1: like you were going to And did you do it

788
00:41:44,280 --> 00:41:46,480
Speaker 1: because of public peer pressure? Which I don't really want

789
00:41:46,480 --> 00:41:50,240
Speaker 1: somebody voting for something because of public pressure. But maybe

790
00:41:50,239 --> 00:41:52,799
Speaker 1: if you used your brain and actually thought about she's

791
00:41:53,120 --> 00:41:56,959
Speaker 1: she's a fraud like most other politicians, Like she's she's

792
00:41:57,000 --> 00:42:01,160
Speaker 1: a complete fraud, and and and just gross, like don't

793
00:42:01,440 --> 00:42:05,840
Speaker 1: that whole entire minor attractive persons saying like needs to

794
00:42:05,880 --> 00:42:09,000
Speaker 1: go away, Like everyone needs to condemn that, anyone that's

795
00:42:09,000 --> 00:42:12,200
Speaker 1: ever been a child, or anyone that has children or

796
00:42:12,320 --> 00:42:15,719
Speaker 1: has friends that have children, or anything like just absolutely not.

797
00:42:15,880 --> 00:42:18,399
Speaker 1: How do you think victims feel that we're now as

798
00:42:18,440 --> 00:42:21,839
Speaker 1: a society trying to accommodate to these people. I don't know,

799
00:42:22,200 --> 00:42:26,240
Speaker 1: like get the fuck out of here, okay, onto something

800
00:42:26,760 --> 00:42:29,759
Speaker 1: less aggravating but kind of shocking. Well, I'm sure I'm

801
00:42:29,800 --> 00:42:33,160
Speaker 1: sure it was aggravating to somebody, since like somebody got

802
00:42:33,160 --> 00:42:36,480
Speaker 1: their head cut off. Several body parts belonging to a

803
00:42:36,520 --> 00:42:39,000
Speaker 1: man and a woman were discovered in a park in Babylon,

804
00:42:39,080 --> 00:42:42,239
Speaker 1: New York. So a female head, right upper leg, left

805
00:42:42,320 --> 00:42:44,480
Speaker 1: leg from the knee down, and right arm in two

806
00:42:44,480 --> 00:42:47,360
Speaker 1: male arms were found. Autopsies are underway to determine the

807
00:42:47,400 --> 00:42:50,200
Speaker 1: identities of the victims and what happened to them.

808
00:42:50,520 --> 00:42:51,760
Speaker 2: All right, so I.

809
00:42:51,640 --> 00:42:54,560
Speaker 1: Think that they did figure out who they were. Okay, sheile,

810
00:42:55,000 --> 00:42:59,439
Speaker 1: but regardless. So we've been talking about over the past

811
00:42:59,520 --> 00:43:02,160
Speaker 1: couple weeks, like last week it was a finger was

812
00:43:02,200 --> 00:43:05,160
Speaker 1: found in the parking lot at Walmart. The week before that,

813
00:43:05,360 --> 00:43:07,600
Speaker 1: it was a leg was found on a platform of

814
00:43:07,600 --> 00:43:09,839
Speaker 1: a train in New York, which later we found out

815
00:43:09,960 --> 00:43:12,000
Speaker 1: was from a person that got hit by a train.

816
00:43:12,120 --> 00:43:15,160
Speaker 1: And the person with the finger we never found out about,

817
00:43:15,160 --> 00:43:17,400
Speaker 1: but we did read that it was from natural causes.

818
00:43:17,440 --> 00:43:19,800
Speaker 1: So we're assuming that they just had an auto amputation

819
00:43:19,880 --> 00:43:25,480
Speaker 1: from gangraine or something. This one, however, is it's there's

820
00:43:25,560 --> 00:43:28,040
Speaker 1: no like what happened here. When you find a head,

821
00:43:28,480 --> 00:43:30,440
Speaker 1: it didn't just accidentally fall off.

822
00:43:30,480 --> 00:43:31,560
Speaker 2: It didn't. It didn't.

823
00:43:31,840 --> 00:43:34,520
Speaker 1: Well, you could lose your head, I guess accidentally from

824
00:43:34,560 --> 00:43:37,040
Speaker 1: a decapitation from an accident or something. But that's not

825
00:43:37,080 --> 00:43:39,759
Speaker 1: what happened here. No, they were bar clearly there. Yeah,

826
00:43:39,800 --> 00:43:43,120
Speaker 1: this is clearly a homicide situation. You don't your head

827
00:43:43,160 --> 00:43:45,680
Speaker 1: doesn't fall off from any kind of a natural process.

828
00:43:46,320 --> 00:43:50,000
Speaker 1: So when these body parts, especially multiple body parts from

829
00:43:50,000 --> 00:43:53,359
Speaker 1: different people, are sent to the medical examiner's office, they

830
00:43:53,400 --> 00:43:56,799
Speaker 1: already know that they're investigating a crime. Yeah. So a

831
00:43:56,840 --> 00:43:59,799
Speaker 1: group of teenagers came upon one of the arms, called

832
00:43:59,840 --> 00:44:02,680
Speaker 1: their dad, and then saw another arm, and then cadaver

833
00:44:02,760 --> 00:44:05,400
Speaker 1: dogs found the rest of the parts. I can't imagine

834
00:44:05,400 --> 00:44:08,440
Speaker 1: just calling my dad and saying, like, Dad, we were

835
00:44:08,640 --> 00:44:11,000
Speaker 1: we were walking the dog and I found the human

836
00:44:11,120 --> 00:44:12,719
Speaker 1: arm on the side of the road. Could you come

837
00:44:12,719 --> 00:44:15,960
Speaker 1: here and pick me up? Exactly. So, they were saying

838
00:44:16,040 --> 00:44:18,840
Speaker 1: that the body parts had only been there maybe a

839
00:44:18,840 --> 00:44:23,360
Speaker 1: few days or even hours. You know, there there was

840
00:44:23,480 --> 00:44:26,040
Speaker 1: tattoos on the guy's body, parts, So I think that

841
00:44:26,120 --> 00:44:28,560
Speaker 1: did a help assist in identifying him. And we did

842
00:44:28,600 --> 00:44:32,520
Speaker 1: a really good external exam about tattoos and forensics, so

843
00:44:32,560 --> 00:44:34,279
Speaker 1: you guys should definitely check that out. From a CAU

844
00:44:35,040 --> 00:44:37,360
Speaker 1: that's with our girl, doctor Michelle Miranda.

845
00:44:37,560 --> 00:44:38,440
Speaker 2: Yeah, she was awesome.

846
00:44:39,040 --> 00:44:41,279
Speaker 1: She's she's the kind of person that like, she does

847
00:44:41,320 --> 00:44:44,640
Speaker 1: forensic tattoo analysis and stuff. It's like a it's a

848
00:44:44,680 --> 00:44:47,520
Speaker 1: really cool part of forensics. So check out that interview.

849
00:44:48,160 --> 00:44:50,759
Speaker 1: But yes, the neighbor in the park was saying that

850
00:44:50,840 --> 00:44:54,040
Speaker 1: this was absolutely shocking, but not the first time limbs

851
00:44:54,040 --> 00:44:57,799
Speaker 1: have been found in this park, So I don't know.

852
00:44:57,880 --> 00:45:00,439
Speaker 1: It seems like a small town community and it would

853
00:45:00,480 --> 00:45:04,759
Speaker 1: be certainly very disturbing of this nature to know not one,

854
00:45:04,840 --> 00:45:07,680
Speaker 1: but two people's remains were found in this park and

855
00:45:08,320 --> 00:45:14,240
Speaker 1: you don't know where they came from. So nice. Yeah, Okay, Next,

856
00:45:14,400 --> 00:45:18,480
Speaker 1: a Stanley cup actually saved a woman's life. So this

857
00:45:18,640 --> 00:45:20,960
Speaker 1: woman says she was at home with her fiance when

858
00:45:21,000 --> 00:45:25,720
Speaker 1: bullets began flying into her home. One of them grazed

859
00:45:25,719 --> 00:45:28,400
Speaker 1: her Stanley cup, which deflected the bullet and ended up

860
00:45:28,440 --> 00:45:32,879
Speaker 1: saving her life. So this is not the first time

861
00:45:32,960 --> 00:45:36,640
Speaker 1: that a Stanley cup has saved someone's life apparently. Remember

862
00:45:36,680 --> 00:45:39,040
Speaker 1: we Yeah, we had a YouTube comment a couple of

863
00:45:39,040 --> 00:45:41,160
Speaker 1: weeks ago. We were talking about one of these Stanley

864
00:45:41,680 --> 00:45:45,279
Speaker 1: Cup stories and somebody shared with us that they heard

865
00:45:45,320 --> 00:45:48,960
Speaker 1: a story of a person that was walking or taking

866
00:45:48,960 --> 00:45:51,600
Speaker 1: a job with their Stanley and somebody attacked them and

867
00:45:51,640 --> 00:45:53,640
Speaker 1: they were able to use it to beat the guy off.

868
00:45:54,000 --> 00:45:57,439
Speaker 1: So I'm more impressed that you could that you could

869
00:45:57,520 --> 00:46:01,000
Speaker 1: take a run holding a Stanley because they're like fifty. Yeah.

870
00:46:01,040 --> 00:46:05,080
Speaker 1: So the Stanley team is apparently thankful to learn about

871
00:46:05,120 --> 00:46:09,160
Speaker 1: the woman's life saving experience, but they issued a statement

872
00:46:09,320 --> 00:46:12,279
Speaker 1: that said, however, we do not recommend our products be

873
00:46:12,400 --> 00:46:16,840
Speaker 1: used for safety protection purposes, so don't try to do

874
00:46:16,880 --> 00:46:20,520
Speaker 1: any experiments fires. We had that one case too, of

875
00:46:20,640 --> 00:46:22,760
Speaker 1: the I don't even know. I feel like we talked

876
00:46:22,760 --> 00:46:26,560
Speaker 1: about this at some point, that the woman had she

877
00:46:26,600 --> 00:46:28,480
Speaker 1: had her Stanley Cup in the car and that a

878
00:46:28,520 --> 00:46:30,640
Speaker 1: car caught on fire and there was like still ice

879
00:46:30,680 --> 00:46:34,080
Speaker 1: in it. Yeah, it was like the perfectly intact afterwards,

880
00:46:34,120 --> 00:46:36,920
Speaker 1: So I would say this, I don't think it has

881
00:46:36,920 --> 00:46:38,200
Speaker 1: anything to do with the Stanley Cup.

882
00:46:38,239 --> 00:46:39,200
Speaker 2: This happens all the time.

883
00:46:39,239 --> 00:46:42,160
Speaker 1: If somebody shoots a gun at you, and it hits

884
00:46:42,160 --> 00:46:44,920
Speaker 1: something on the way, then it's going to change the

885
00:46:44,960 --> 00:46:48,600
Speaker 1: trajectory of the bullet, right. And I actually have a

886
00:46:48,640 --> 00:46:51,560
Speaker 1: case in the gross room. It's called bullet Proof Chest

887
00:46:52,400 --> 00:46:54,800
Speaker 1: and it's a case about how a breast i plant

888
00:46:54,840 --> 00:46:58,440
Speaker 1: saved someone when they got shot. And as you know,

889
00:46:58,440 --> 00:47:00,440
Speaker 1: a breast i plant's like a pillow, it's a thing.

890
00:47:00,480 --> 00:47:02,200
Speaker 1: But it just goes to show that it could slow

891
00:47:02,280 --> 00:47:04,600
Speaker 1: down the trajectory of a bullet and where it's going.

892
00:47:04,719 --> 00:47:09,120
Speaker 1: So that's a really cool case that you could read about. Yeah,

893
00:47:09,200 --> 00:47:12,520
Speaker 1: so okay, onto our next one. This one's really horrible.

894
00:47:12,600 --> 00:47:16,680
Speaker 1: So this Florida sheriff has apologized after posting a photo

895
00:47:16,760 --> 00:47:19,920
Speaker 1: of a dead body on Instagram. So a photo of

896
00:47:19,960 --> 00:47:22,480
Speaker 1: a body wearing a green top and blue jeans lying

897
00:47:22,520 --> 00:47:25,560
Speaker 1: beneath a mound of brush was posted in a carousel

898
00:47:25,560 --> 00:47:28,920
Speaker 1: of images to Instagram trying to highlight a community event

899
00:47:29,760 --> 00:47:32,200
Speaker 1: for seniors hosted by the sheriff. So. This was on

900
00:47:32,320 --> 00:47:36,320
Speaker 1: the police Department's official Instagram page. The photo was posted

901
00:47:36,480 --> 00:47:38,719
Speaker 1: just a day after the corpse of a thirteen year

902
00:47:38,719 --> 00:47:41,680
Speaker 1: old named Madeline Sota was found in rural Saint Cloud

903
00:47:42,239 --> 00:47:48,480
Speaker 1: by the Sheriff's Search teams. So first I want to

904
00:47:48,520 --> 00:47:51,920
Speaker 1: start off with is it necessary that our police departments

905
00:47:52,000 --> 00:47:55,680
Speaker 1: have social media?

906
00:47:55,800 --> 00:47:56,960
Speaker 2: Because I think.

907
00:47:56,800 --> 00:48:00,520
Speaker 1: It is because what happens, like when there's an act shooter,

908
00:48:00,600 --> 00:48:03,120
Speaker 1: they want to put out a statement to say, like

909
00:48:03,239 --> 00:48:06,000
Speaker 1: this is happening right now. I think it is. I'm

910
00:48:06,000 --> 00:48:08,640
Speaker 1: going to tell you what happened. I think that a

911
00:48:08,640 --> 00:48:12,040
Speaker 1: lot of times in investigations and stuff, especially even at

912
00:48:12,040 --> 00:48:14,800
Speaker 1: the hospital and everything, there's like situations with the camera,

913
00:48:14,880 --> 00:48:18,480
Speaker 1: it's just easier sometimes to use a photo to use

914
00:48:18,520 --> 00:48:20,960
Speaker 1: the phone to take the photos, even the scene photos.

915
00:48:21,000 --> 00:48:23,440
Speaker 1: I'm not sure what the police do because I've never

916
00:48:23,480 --> 00:48:27,120
Speaker 1: worked for the police or anything, but I'm thinking rather

917
00:48:27,200 --> 00:48:29,600
Speaker 1: than having a camera that might not work or might

918
00:48:29,640 --> 00:48:32,520
Speaker 1: have weird lighting situation, like the phone camera kind of

919
00:48:32,520 --> 00:48:34,799
Speaker 1: works pretty good all the time and most people know

920
00:48:34,840 --> 00:48:37,439
Speaker 1: how to use it, they probably have a specific one

921
00:48:37,480 --> 00:48:40,600
Speaker 1: that's just for the department, which might even go directly

922
00:48:40,640 --> 00:48:41,400
Speaker 1: to the Instagram.

923
00:48:41,440 --> 00:48:41,640
Speaker 2: Right.

924
00:48:42,239 --> 00:48:45,920
Speaker 1: You know, when you're uploading photos for like a carousel,

925
00:48:46,160 --> 00:48:49,759
Speaker 1: and sometimes it like picks a bunch of them by accident, Yeah,

926
00:48:49,760 --> 00:48:52,880
Speaker 1: because you're moving your finger too much. It's probably something

927
00:48:52,960 --> 00:48:55,759
Speaker 1: like that happened and he so happened to have a

928
00:48:55,800 --> 00:48:59,440
Speaker 1: scene photo there and it just like accidentally got on

929
00:48:59,480 --> 00:49:03,120
Speaker 1: there and he just he didn't check it correctly, Like

930
00:49:03,160 --> 00:49:05,560
Speaker 1: I don't think it was intentional. Yeah, So that was

931
00:49:05,600 --> 00:49:09,719
Speaker 1: my next question. Is my question earlier, I am support

932
00:49:09,920 --> 00:49:13,440
Speaker 1: in support of the police departments having social media, but

933
00:49:13,520 --> 00:49:16,279
Speaker 1: I've been seeing it come up a lot. Where is

934
00:49:16,320 --> 00:49:19,720
Speaker 1: it appropriate that they're posting pictures so regularly, so something

935
00:49:19,800 --> 00:49:23,680
Speaker 1: like this could happen. But my second question was how

936
00:49:23,719 --> 00:49:25,839
Speaker 1: did this get on a phone? Because you have to

937
00:49:25,960 --> 00:49:29,360
Speaker 1: post on Instagram through a phone. You could access Instagram

938
00:49:29,440 --> 00:49:31,880
Speaker 1: on a website, but you cannot actively post on it

939
00:49:31,920 --> 00:49:35,040
Speaker 1: from a computer space. So like you're saying, this might

940
00:49:35,080 --> 00:49:38,560
Speaker 1: have been a department's phone right that the picture was

941
00:49:38,600 --> 00:49:40,640
Speaker 1: taken on, But still I feel like it's kind of

942
00:49:41,680 --> 00:49:44,680
Speaker 1: breaking some regulation in some way that it's just living

943
00:49:44,719 --> 00:49:48,680
Speaker 1: on the phone device. Yeah, And I don't know, I

944
00:49:48,680 --> 00:49:51,680
Speaker 1: don't know the details, Like I said, I'm just assuming

945
00:49:51,760 --> 00:49:54,480
Speaker 1: and just from what I've seen working and stuff, it's

946
00:49:54,560 --> 00:50:00,319
Speaker 1: just like it's sometimes it's sometimes there's phones dedicated just

947
00:50:00,360 --> 00:50:03,680
Speaker 1: for the job, and that's what I think happened probably. Yeah.

948
00:50:03,719 --> 00:50:07,520
Speaker 1: So then another I mean, it's not it's not good, No,

949
00:50:07,880 --> 00:50:11,600
Speaker 1: that especially it's this is a homicide case, right, I

950
00:50:11,719 --> 00:50:14,759
Speaker 1: understand what you're saying about them taking the pictures on

951
00:50:14,800 --> 00:50:17,960
Speaker 1: their phone, but there should be some process where you

952
00:50:18,120 --> 00:50:22,040
Speaker 1: take them and they are immediately uploaded to the proper

953
00:50:22,200 --> 00:50:24,920
Speaker 1: case file and then they're removed from the device.

954
00:50:25,320 --> 00:50:26,560
Speaker 2: Yeah, I get that.

955
00:50:26,640 --> 00:50:29,239
Speaker 1: And they probably have some kind of programs, like some

956
00:50:29,400 --> 00:50:31,480
Speaker 1: kind of I don't know, police apps are something that

957
00:50:31,520 --> 00:50:34,880
Speaker 1: you can do that, yeah, because like what if the

958
00:50:34,920 --> 00:50:38,120
Speaker 1: phone gets lost. Yeah, that's what I'm saying, what if

959
00:50:38,120 --> 00:50:41,440
Speaker 1: someone guesses the password or whatever. And the thing is is,

960
00:50:41,520 --> 00:50:44,480
Speaker 1: especially with homicide cases that are going to be going

961
00:50:44,560 --> 00:50:47,200
Speaker 1: to court and stuff, that's evidence, right, So you don't

962
00:50:47,680 --> 00:50:49,960
Speaker 1: you don't want that to get into the wrong hands,

963
00:50:49,960 --> 00:50:53,440
Speaker 1: I guess. But I think I don't think it was

964
00:50:53,680 --> 00:50:56,600
Speaker 1: I mean, I think it was just an accident. Yeah.

965
00:50:56,640 --> 00:50:59,120
Speaker 1: I think it was an accident too, which is still

966
00:50:59,160 --> 00:51:00,640
Speaker 1: like an age.

967
00:51:01,040 --> 00:51:02,240
Speaker 2: Yeah, Like we would love.

968
00:51:02,120 --> 00:51:06,360
Speaker 1: To hear from any police officers or anybody that that

969
00:51:06,440 --> 00:51:09,839
Speaker 1: handles these kinds of investigations if that's like.

970
00:51:09,840 --> 00:51:10,799
Speaker 2: Really frowned upon.

971
00:51:11,840 --> 00:51:15,440
Speaker 1: I just know that, especially I went through this time

972
00:51:15,560 --> 00:51:19,800
Speaker 1: even in the hospital, like we had this the the

973
00:51:19,960 --> 00:51:22,560
Speaker 1: camera that we had to take pictures of specimens and stuff.

974
00:51:22,560 --> 00:51:24,840
Speaker 1: It just was like so shitty, like you just couldn't

975
00:51:24,840 --> 00:51:27,040
Speaker 1: ever get even if you put it on auto, you

976
00:51:27,080 --> 00:51:30,200
Speaker 1: couldn't get like as crisp of pictures or something like that.

977
00:51:30,280 --> 00:51:33,480
Speaker 1: And it's just always like this debate because like the

978
00:51:33,520 --> 00:51:37,120
Speaker 1: iPhone has a better camera than like not to say,

979
00:51:37,120 --> 00:51:39,799
Speaker 1: it's a better camera than like a d uh what.

980
00:51:39,719 --> 00:51:41,560
Speaker 2: Are they called da DSLR.

981
00:51:41,920 --> 00:51:44,759
Speaker 1: Yeah, like if it's not better than that, if you

982
00:51:44,840 --> 00:51:47,439
Speaker 1: at but Maria knows how to use that, Like I'm

983
00:51:47,560 --> 00:51:49,200
Speaker 1: like a person that doesn't know how to use that.

984
00:51:49,239 --> 00:51:51,040
Speaker 1: And I think most people don't know how to use

985
00:51:51,080 --> 00:51:53,960
Speaker 1: like a real camera to adjust the settings and everything. Yeah,

986
00:51:53,960 --> 00:51:56,799
Speaker 1: but you took a class in college that taught you

987
00:51:56,840 --> 00:51:57,960
Speaker 1: how to take pictures.

988
00:51:58,120 --> 00:51:59,399
Speaker 2: Yeah, and it was.

989
00:52:00,960 --> 00:52:07,000
Speaker 1: I went to the hospital actually, and I did all

990
00:52:07,040 --> 00:52:09,080
Speaker 1: of those settings. What was it like F stop and

991
00:52:09,120 --> 00:52:12,520
Speaker 1: all of that stuff and what is it, I don't

992
00:52:12,520 --> 00:52:15,920
Speaker 1: even remember whatever it was. I took it off of

993
00:52:15,960 --> 00:52:18,279
Speaker 1: auto and I did all that shit I learned in

994
00:52:18,280 --> 00:52:21,160
Speaker 1: the photography class, and the pictures were even worse. So

995
00:52:21,239 --> 00:52:23,000
Speaker 1: then I put it on auto. I was just like,

996
00:52:23,120 --> 00:52:25,839
Speaker 1: I you know what, I don't care. I just want

997
00:52:25,880 --> 00:52:26,920
Speaker 1: to take a goddamn picture.

998
00:52:26,960 --> 00:52:27,520
Speaker 2: I don't care.

999
00:52:27,760 --> 00:52:30,960
Speaker 1: So what was not an accident was a separate photo

1000
00:52:31,000 --> 00:52:35,880
Speaker 1: that was posted where a selfie of agency executive director

1001
00:52:36,400 --> 00:52:39,640
Speaker 1: took a selfie in front of the prime suspect in

1002
00:52:39,760 --> 00:52:44,400
Speaker 1: Madeleine's disappearance and then posted it to her Facebook. She

1003
00:52:44,520 --> 00:52:47,920
Speaker 1: took a picture with him. She the selfie is like

1004
00:52:48,040 --> 00:52:51,000
Speaker 1: her face with him coming out of the door getting

1005
00:52:51,040 --> 00:52:54,200
Speaker 1: back in a patrol car. Totally inappropriate. It's not that

1006
00:52:54,280 --> 00:52:57,360
Speaker 1: it's with him where they're both smiling. He's like crowds

1007
00:52:57,400 --> 00:53:00,359
Speaker 1: down and not paying attention in the background, but it's

1008
00:53:00,680 --> 00:53:03,000
Speaker 1: it's like when somebody's at a restaurant and they see

1009
00:53:03,040 --> 00:53:05,120
Speaker 1: a celebrity at the booth and they're like taking a

1010
00:53:05,160 --> 00:53:07,680
Speaker 1: picture and they're in the background, but like, what are

1011
00:53:07,719 --> 00:53:12,560
Speaker 1: you doing? Yeah, that's really inappropriate. Both the photos have

1012
00:53:12,640 --> 00:53:16,279
Speaker 1: now been deleted. But what's going on in your head

1013
00:53:16,320 --> 00:53:19,239
Speaker 1: that you think that's okay? And especially you shouldn't be

1014
00:53:19,239 --> 00:53:21,400
Speaker 1: taking a picture like that at all, and you especially

1015
00:53:21,480 --> 00:53:23,960
Speaker 1: shouldn't be posting it to your Facebook, Like what is

1016
00:53:24,000 --> 00:53:28,080
Speaker 1: the purpose? And like, let's say, for example, this guy's arrested,

1017
00:53:28,120 --> 00:53:30,680
Speaker 1: but he's still not been convicted of this crime, right,

1018
00:53:30,760 --> 00:53:32,920
Speaker 1: even if all evidence at this time points to him.

1019
00:53:32,960 --> 00:53:35,360
Speaker 1: So you can't be posting like, oh, this is the killer,

1020
00:53:35,480 --> 00:53:40,160
Speaker 1: right because he still has not been formally convicted in court. Yeah,

1021
00:53:40,200 --> 00:53:43,279
Speaker 1: there's just like this whole there's this whole thing with

1022
00:53:43,360 --> 00:53:47,960
Speaker 1: like killers and and you know, an interest in that

1023
00:53:48,080 --> 00:53:52,839
Speaker 1: kind of stuff. John Wayne Gacy, All, I mean, I

1024
00:53:52,880 --> 00:53:55,160
Speaker 1: know that these people are way more infamous and stuff,

1025
00:53:55,200 --> 00:53:58,040
Speaker 1: but there's there's a certain level of like interest that

1026
00:53:58,120 --> 00:54:03,160
Speaker 1: some people have with these really horrible people. Okay, let's

1027
00:54:03,200 --> 00:54:06,319
Speaker 1: get on to the medical news, all right. So, a

1028
00:54:06,360 --> 00:54:10,680
Speaker 1: Long Island based vegan market called Cindy Snacks says it

1029
00:54:10,719 --> 00:54:13,760
Speaker 1: was sold donuts from a nearby bakery that falsely claimed

1030
00:54:13,760 --> 00:54:16,799
Speaker 1: the treets were homemade, vegan and gluten free. So they

1031
00:54:16,840 --> 00:54:20,839
Speaker 1: got their delivery dropped off, their order dropped off, and

1032
00:54:21,120 --> 00:54:24,320
Speaker 1: they noticed one of the donuts that was strawberry frosted,

1033
00:54:24,440 --> 00:54:26,680
Speaker 1: didn't look like any of the other donuts they had

1034
00:54:26,680 --> 00:54:30,279
Speaker 1: in the order. And to make it even better, there

1035
00:54:30,360 --> 00:54:34,560
Speaker 1: was little purple and orange d sprinkles all over the donut,

1036
00:54:34,560 --> 00:54:38,360
Speaker 1: which are the signature colors of the chain Dunkin Donuts.

1037
00:54:38,920 --> 00:54:43,560
Speaker 1: So the owner of the market messaged the baker that

1038
00:54:43,600 --> 00:54:46,120
Speaker 1: they had been ordering from, and said, I don't mean

1039
00:54:46,120 --> 00:54:49,880
Speaker 1: to insult you or anything, but are these donuts from Duncan,

1040
00:54:50,080 --> 00:54:53,440
Speaker 1: because we think we're buying vegan gluten free donuts from you,

1041
00:54:53,640 --> 00:54:57,720
Speaker 1: and this looks like a Dunkin donut. And that person

1042
00:54:57,880 --> 00:55:00,840
Speaker 1: immediately doubled down and said, no, it is not from Duncan.

1043
00:55:01,360 --> 00:55:03,719
Speaker 1: And they were trying, the owners were trying to give

1044
00:55:03,719 --> 00:55:05,359
Speaker 1: them the benefit of the doubt and be like, can

1045
00:55:05,400 --> 00:55:09,240
Speaker 1: you can you show us some proof that they're not Duncan. Basically,

1046
00:55:09,640 --> 00:55:13,600
Speaker 1: so the baker sends them pictures of these alphabet sprinkles

1047
00:55:13,600 --> 00:55:16,480
Speaker 1: which are a not the same size, and they're rainbow color.

1048
00:55:16,640 --> 00:55:20,760
Speaker 1: They're not all orange and purple d's, they're all different colors.

1049
00:55:22,120 --> 00:55:25,080
Speaker 1: So obviously this is a Dunkin donut. This this owner

1050
00:55:25,200 --> 00:55:28,239
Speaker 1: takes the donut and does this at home gluten test,

1051
00:55:28,280 --> 00:55:30,400
Speaker 1: which I didn't even know is a thing. Apparently you

1052
00:55:30,400 --> 00:55:32,719
Speaker 1: could take little strips and test food if they have

1053
00:55:32,760 --> 00:55:35,640
Speaker 1: gluten in them, and of course it was positive. And

1054
00:55:36,600 --> 00:55:39,320
Speaker 1: this person had apparently been doing this for a while.

1055
00:55:39,360 --> 00:55:42,560
Speaker 1: And I'm laughing reading this article and looking back at

1056
00:55:42,600 --> 00:55:45,360
Speaker 1: pictures other customers have posted of these donuts because they

1057
00:55:45,400 --> 00:55:48,239
Speaker 1: are so clearly Dunkin donuts to me. I mean even

1058
00:55:48,280 --> 00:55:50,640
Speaker 1: the Valentine's Day once were heart shaped and had the

1059
00:55:50,640 --> 00:55:53,880
Speaker 1: same color sprinkles. Like, how did nobody pick this up

1060
00:55:53,920 --> 00:55:57,160
Speaker 1: for so long? I think I think in general, like

1061
00:55:57,880 --> 00:56:00,719
Speaker 1: a vegan person might not pick it up. Yeah, they

1062
00:56:01,160 --> 00:56:04,879
Speaker 1: I mean listen, like I'm gluten free and like I've

1063
00:56:04,920 --> 00:56:08,120
Speaker 1: eating vegan food and there's just like there's no comparison

1064
00:56:08,239 --> 00:56:11,319
Speaker 1: like to the regular thing, right, so most people that

1065
00:56:11,560 --> 00:56:15,000
Speaker 1: eat it know that it's not real, right, but vegan's

1066
00:56:15,040 --> 00:56:17,799
Speaker 1: a little bit different. So because it's more of a

1067
00:56:17,840 --> 00:56:22,560
Speaker 1: dietary preference than than an allergy, except if people have.

1068
00:56:22,560 --> 00:56:24,200
Speaker 2: Like a latos.

1069
00:56:24,400 --> 00:56:26,719
Speaker 1: A lot of people will eat vegan food if they

1070
00:56:26,760 --> 00:56:29,920
Speaker 1: have like egg or dairy allergies because they know it's safe.

1071
00:56:30,200 --> 00:56:33,600
Speaker 2: But just think about this, like if people if people.

1072
00:56:33,320 --> 00:56:35,719
Speaker 1: Go home and eat these, right, even a person that's

1073
00:56:35,760 --> 00:56:39,279
Speaker 1: got celiac, they're going to get sick, and then they're

1074
00:56:39,360 --> 00:56:41,239
Speaker 1: just going to be like, well, fuck that place, I'm

1075
00:56:41,239 --> 00:56:43,720
Speaker 1: not going to eat there anymore, Right, I don't trust

1076
00:56:43,719 --> 00:56:46,200
Speaker 1: that place. And they'll tell all their gluten free friends, right,

1077
00:56:46,680 --> 00:56:49,759
Speaker 1: but like maybe they might not hear about it for

1078
00:56:49,800 --> 00:56:52,680
Speaker 1: a while because people might and like people like me

1079
00:56:52,719 --> 00:56:55,759
Speaker 1: and you that just have sensitivity might get like a

1080
00:56:55,800 --> 00:56:58,120
Speaker 1: headache or a little bloating and just be like, all right,

1081
00:56:58,160 --> 00:57:00,319
Speaker 1: we're we've done that several times that we're just like

1082
00:57:00,360 --> 00:57:02,760
Speaker 1: we're not eating that because it bothers us for some reason.

1083
00:57:02,840 --> 00:57:04,720
Speaker 2: Right, So I think.

1084
00:57:04,560 --> 00:57:06,600
Speaker 1: That that that's what happened in this case, and that's

1085
00:57:06,800 --> 00:57:09,160
Speaker 1: how they don't know. But especially if you're a person

1086
00:57:09,680 --> 00:57:12,839
Speaker 1: like us that only eats gluten free donuts that absolutely

1087
00:57:13,160 --> 00:57:15,720
Speaker 1: taste like crap most of the time. They're like lead

1088
00:57:16,400 --> 00:57:18,760
Speaker 1: when you pick them up, they're like physically heavy because

1089
00:57:18,800 --> 00:57:21,520
Speaker 1: they can't make them like really fluffy and delicious. Like

1090
00:57:22,320 --> 00:57:25,200
Speaker 1: I don't really consider Dunkin Donuts donuts to be that.

1091
00:57:25,320 --> 00:57:26,920
Speaker 2: I think, honest really.

1092
00:57:26,680 --> 00:57:30,840
Speaker 1: Delicious when they're fresh. Deelers is way better. There's like

1093
00:57:30,880 --> 00:57:35,320
Speaker 1: an amish uh donut place in the Red Inns is

1094
00:57:35,360 --> 00:57:38,360
Speaker 1: my new shit now that well, I don't know, it's amazing,

1095
00:57:38,600 --> 00:57:43,040
Speaker 1: I don't know. But anyway, regardless, like any person that's

1096
00:57:43,040 --> 00:57:45,560
Speaker 1: gluten free would pick up the Dunkin Donuts donut and

1097
00:57:45,600 --> 00:57:47,600
Speaker 1: be like this isn't gluten free just based on the

1098
00:57:47,600 --> 00:57:51,000
Speaker 1: texture of it alone, like it's just well, yeah, possible.

1099
00:57:51,080 --> 00:57:54,680
Speaker 1: I would definitely am speculation with that. There's many problems

1100
00:57:54,680 --> 00:57:58,520
Speaker 1: here because I was I was thinking back to my

1101
00:57:58,720 --> 00:58:02,840
Speaker 1: Dunkin experiment last month where I had half of a

1102
00:58:03,000 --> 00:58:06,560
Speaker 1: brownie battered donut and I felt really shitty the next

1103
00:58:06,560 --> 00:58:09,720
Speaker 1: two days afterwards. But I knew that it was from that,

1104
00:58:09,760 --> 00:58:12,800
Speaker 1: and I willingly ate that knowing it could potentially bother me.

1105
00:58:13,320 --> 00:58:17,000
Speaker 1: But when you're getting food out, you might not realize

1106
00:58:17,040 --> 00:58:20,120
Speaker 1: what you ate that bothered you. Right, So they a

1107
00:58:20,120 --> 00:58:22,480
Speaker 1: lot of people might have been eating these regularly and

1108
00:58:22,560 --> 00:58:24,960
Speaker 1: not even realizing for a while that it was coming

1109
00:58:25,000 --> 00:58:27,120
Speaker 1: from this source. And you know, they want to trust

1110
00:58:27,600 --> 00:58:31,280
Speaker 1: this market because this market is supposed to be doing

1111
00:58:31,320 --> 00:58:35,800
Speaker 1: its due diligence looking into all their vendors. And you

1112
00:58:35,840 --> 00:58:38,960
Speaker 1: know that the market did come forward and say that

1113
00:58:39,000 --> 00:58:41,240
Speaker 1: this was happening and let all the customers know. And

1114
00:58:41,560 --> 00:58:43,919
Speaker 1: it seems like a lot of people are being really

1115
00:58:43,920 --> 00:58:47,360
Speaker 1: supportive of them, but also some people are really criticizing them, saying,

1116
00:58:47,400 --> 00:58:51,120
Speaker 1: why didn't you look into this more? And apparently it's

1117
00:58:51,200 --> 00:58:53,520
Speaker 1: kind of genius. So the person, how much do you

1118
00:58:53,560 --> 00:58:59,200
Speaker 1: think a dozen of duncan is? Like like like ten bucks?

1119
00:58:59,400 --> 00:59:00,000
Speaker 2: Ten bucks?

1120
00:59:00,080 --> 00:59:03,360
Speaker 1: Okay, right, so they probably went to this market and

1121
00:59:03,400 --> 00:59:07,200
Speaker 1: were like, Oh, here's a dozen of vegan, gluten free donuts.

1122
00:59:07,240 --> 00:59:09,800
Speaker 1: I'm going to charge you fifty dollars for like, you know,

1123
00:59:09,880 --> 00:59:11,960
Speaker 1: it's just so much more money. I mean, there's this

1124
00:59:12,000 --> 00:59:14,960
Speaker 1: breakfast place near Ricky's work and the lady straight up

1125
00:59:15,000 --> 00:59:17,800
Speaker 1: buys cinnamon rolls from Costco and sells them for five

1126
00:59:17,840 --> 00:59:20,320
Speaker 1: dollars each. I mean the entire tray of them probably

1127
00:59:20,320 --> 00:59:23,440
Speaker 1: costs five dollars. Yeah, exactly, That's exactly what's happened. And

1128
00:59:23,480 --> 00:59:25,280
Speaker 1: so these people are just like, oh, I'm going to

1129
00:59:25,320 --> 00:59:28,240
Speaker 1: get over on these people. That's and we talked about

1130
00:59:28,240 --> 00:59:30,960
Speaker 1: this last week with the case in Disney that the

1131
00:59:31,000 --> 00:59:34,440
Speaker 1: woman died from being exposed to an allergen. And it's like,

1132
00:59:34,480 --> 00:59:39,560
Speaker 1: you just if you have serious like if you have Celiac,

1133
00:59:39,680 --> 00:59:42,760
Speaker 1: especially you. I mean, there's people that you could trust,

1134
00:59:42,800 --> 00:59:46,400
Speaker 1: obviously because they're hardcore about it too. But when you

1135
00:59:46,440 --> 00:59:48,000
Speaker 1: go to especially if you go to a place and

1136
00:59:48,000 --> 00:59:50,440
Speaker 1: you're not really sure of the person and they're new

1137
00:59:50,520 --> 00:59:53,000
Speaker 1: or whatever, you got to be skeptical because you can

1138
00:59:53,040 --> 00:59:56,840
Speaker 1: get really sick. Yeah, And that's a lot of I

1139
00:59:56,840 --> 01:00:01,200
Speaker 1: mean beyond it just being kind of a scam from

1140
01:00:01,400 --> 01:00:05,240
Speaker 1: the baking like they were called Savory Fig the vendor.

1141
01:00:05,320 --> 01:00:08,920
Speaker 1: So besides it being shady behavior from the vendor, I

1142
01:00:09,120 --> 01:00:11,720
Speaker 1: was somebody that at one time sold bake treats on

1143
01:00:11,800 --> 01:00:14,040
Speaker 1: the side to make extra money, and I would have

1144
01:00:14,160 --> 01:00:18,160
Speaker 1: been paralyzed by fear of somebody getting sick for my

1145
01:00:18,280 --> 01:00:22,120
Speaker 1: product like that, Right, So it's kind of really ballsy

1146
01:00:22,160 --> 01:00:26,240
Speaker 1: to be advertising these as two things you know, are

1147
01:00:26,320 --> 01:00:29,080
Speaker 1: really well one thing in particular gluten, which can be

1148
01:00:29,080 --> 01:00:33,640
Speaker 1: a really severe allergy, and marketing them otherwise. And people

1149
01:00:33,720 --> 01:00:36,280
Speaker 1: were saying they went back on Savory FIG's Instagram, it

1150
01:00:36,280 --> 01:00:39,200
Speaker 1: could see a clear difference when they were homemade donuts

1151
01:00:39,200 --> 01:00:42,760
Speaker 1: and when they shifted to the Dunkin Donuts. So I

1152
01:00:42,760 --> 01:00:45,320
Speaker 1: don't know, like pretty ballsy, Yeah, it is ballzy. The

1153
01:00:45,760 --> 01:00:50,320
Speaker 1: markets considering legal action, I don't know what they're gonna do.

1154
01:00:50,400 --> 01:00:53,200
Speaker 2: Legal action? Are you gonna do like did anybody? Did

1155
01:00:53,240 --> 01:00:54,480
Speaker 2: anybody die? Come on?

1156
01:00:54,680 --> 01:00:57,360
Speaker 1: I don't know, because it seems like it's unclear how

1157
01:00:57,440 --> 01:01:00,560
Speaker 1: well I guess that could affect their business. Maybe they

1158
01:01:00,600 --> 01:01:02,320
Speaker 1: would have it like to stand on with that. Yeah,

1159
01:01:02,360 --> 01:01:05,840
Speaker 1: if they could prove that they lost a substantial amount

1160
01:01:05,840 --> 01:01:08,600
Speaker 1: of income or had their business affected by this, then

1161
01:01:08,640 --> 01:01:11,960
Speaker 1: I certainly think they have a case. But otherwise I

1162
01:01:12,000 --> 01:01:14,560
Speaker 1: don't think they would have known unless they that person

1163
01:01:14,720 --> 01:01:17,400
Speaker 1: was so stupid to drop off like such an obvious

1164
01:01:17,520 --> 01:01:22,600
Speaker 1: dunkin donut. Right, But yeah, I know, who knows how

1165
01:01:22,600 --> 01:01:24,280
Speaker 1: long this could have gone on if it wasn't for

1166
01:01:24,400 --> 01:01:30,320
Speaker 1: the d sprinkles all over telltale sign. Okay, Next, we

1167
01:01:30,440 --> 01:01:34,320
Speaker 1: have a potential blindness epidemic. So gen zers are getting

1168
01:01:34,360 --> 01:01:38,040
Speaker 1: increasingly nearsighted from staring at their electronic devices all day

1169
01:01:38,160 --> 01:01:41,080
Speaker 1: and face a blindness epidemic if they continue to stay

1170
01:01:41,120 --> 01:01:45,680
Speaker 1: indoors while phone addicted. Yeah, I believe that I my

1171
01:01:45,840 --> 01:01:49,040
Speaker 1: eyes started going bad and rapidly got worse when I

1172
01:01:49,160 --> 01:01:52,120
Speaker 1: was looking in the microscope when I started, like nineteen

1173
01:01:52,200 --> 01:01:55,080
Speaker 1: years old, right, And they told me that when I

1174
01:01:55,200 --> 01:01:57,400
Speaker 1: would go to the eye doctor, like, you're looking at

1175
01:01:57,400 --> 01:01:59,720
Speaker 1: this all day and you're straining your eyes, and that's

1176
01:01:59,760 --> 01:02:02,520
Speaker 1: why your eye vision is getting so bad, because that's

1177
01:02:02,520 --> 01:02:07,000
Speaker 1: the kind of sight problem that I have. But they're

1178
01:02:07,040 --> 01:02:10,760
Speaker 1: saying that it's not only the screen, it's also if

1179
01:02:10,800 --> 01:02:13,440
Speaker 1: you have a decrease in dopamine that your eyes can

1180
01:02:13,480 --> 01:02:16,360
Speaker 1: get bad too. And they're saying that because kids are

1181
01:02:16,360 --> 01:02:18,920
Speaker 1: sitting on their phones all day and not going outside

1182
01:02:18,960 --> 01:02:21,960
Speaker 1: and getting sunlight that they're not getting, like sunlight apparently

1183
01:02:22,000 --> 01:02:25,640
Speaker 1: triggers dopamine response, and they're not getting that, and that's

1184
01:02:25,760 --> 01:02:29,600
Speaker 1: also making the problem worse. Yeah, I mean, I mean

1185
01:02:29,680 --> 01:02:32,800
Speaker 1: not surprised. I've even noticed in the last couple of

1186
01:02:32,880 --> 01:02:35,920
Speaker 1: months since we started doing this show that I'm you know,

1187
01:02:36,040 --> 01:02:39,360
Speaker 1: I'm these these podcast days take me a really long time,

1188
01:02:39,400 --> 01:02:41,600
Speaker 1: and I'm on the computer staring at the screen. I

1189
01:02:41,600 --> 01:02:44,520
Speaker 1: mean right now, I have an enormous round light in

1190
01:02:44,600 --> 01:02:46,880
Speaker 1: my face, and I have the computer screen in my face.

1191
01:02:46,920 --> 01:02:49,240
Speaker 1: And I don't know if people on YouTube noticed this,

1192
01:02:49,320 --> 01:02:52,400
Speaker 1: but my eyes tear up really easily all the time.

1193
01:02:52,480 --> 01:02:56,280
Speaker 1: And I feel like it's because I'm just constantly staring

1194
01:02:56,320 --> 01:02:58,440
Speaker 1: at a screen and just have these bright lights in

1195
01:02:58,480 --> 01:03:02,040
Speaker 1: my face. Yeah, like I told you yesterday, I have

1196
01:03:02,080 --> 01:03:05,440
Speaker 1: to go the eye doctor because my prescription is definitely changing.

1197
01:03:05,480 --> 01:03:07,720
Speaker 1: I mean, I can't. I feel like my vision is

1198
01:03:07,760 --> 01:03:09,920
Speaker 1: so weird right now from staring at the screen. And

1199
01:03:10,360 --> 01:03:12,720
Speaker 1: I've been trying to do all those special techniques of

1200
01:03:13,360 --> 01:03:15,080
Speaker 1: you know, you could turn this like red light on

1201
01:03:15,120 --> 01:03:17,280
Speaker 1: your computer. But at the same time, I have to

1202
01:03:17,600 --> 01:03:19,920
Speaker 1: edit a visual show and make sure that the colors

1203
01:03:19,960 --> 01:03:23,400
Speaker 1: are correct, so I can't always have those special settings on.

1204
01:03:23,880 --> 01:03:26,520
Speaker 1: And then those like stupid blue light glasses that turned

1205
01:03:26,520 --> 01:03:29,760
Speaker 1: out to not do anything. Yeah, like I apparently have

1206
01:03:29,800 --> 01:03:32,320
Speaker 1: a blue light filter in my glasses and I noticed

1207
01:03:32,320 --> 01:03:35,280
Speaker 1: no difference. So didn't you write about this in the

1208
01:03:35,320 --> 01:03:37,920
Speaker 1: gross room about blue light glasses that they did all

1209
01:03:37,960 --> 01:03:40,440
Speaker 1: these studies on them and they really they didn't really

1210
01:03:40,520 --> 01:03:44,360
Speaker 1: like doing. Yeah, it prompt my article was prompted because

1211
01:03:45,360 --> 01:03:49,760
Speaker 1: I think Addison Ray came out with some blue light makeup.

1212
01:03:50,040 --> 01:03:51,920
Speaker 1: I don't I don't remember. I wrote this article a

1213
01:03:52,000 --> 01:03:54,640
Speaker 1: couple of years ago. But yeah, it doesn't really do

1214
01:03:55,000 --> 01:03:59,560
Speaker 1: what they say it does. So eyes are very important

1215
01:04:00,800 --> 01:04:06,160
Speaker 1: fully figure out a way. Next is about the increase

1216
01:04:06,240 --> 01:04:08,960
Speaker 1: in obesity throughout the world. So why don't you get

1217
01:04:08,960 --> 01:04:09,640
Speaker 1: into this one?

1218
01:04:11,080 --> 01:04:11,440
Speaker 2: Wow?

1219
01:04:11,480 --> 01:04:15,800
Speaker 1: So last week I posted a picture of It was

1220
01:04:15,840 --> 01:04:18,560
Speaker 1: a sagital section, so if a person's cut in half

1221
01:04:18,640 --> 01:04:23,600
Speaker 1: down the middle of two kidavers, one was of average

1222
01:04:23,680 --> 01:04:25,680
Speaker 1: eight of weight and.

1223
01:04:25,600 --> 01:04:27,560
Speaker 2: The other one was someone that was obese.

1224
01:04:28,120 --> 01:04:31,520
Speaker 1: And people like, go look at that post on Instagram

1225
01:04:31,560 --> 01:04:34,640
Speaker 1: because people just like lost their shit over that and

1226
01:04:34,960 --> 01:04:40,320
Speaker 1: fighting and typical Instagram nonsense. But I just showed it

1227
01:04:40,440 --> 01:04:43,320
Speaker 1: just so people can look for themselves and not have

1228
01:04:43,480 --> 01:04:46,800
Speaker 1: me tell them about visceral fat and internal fat and everything.

1229
01:04:46,840 --> 01:04:49,280
Speaker 1: You can look for yourself and make your own determination,

1230
01:04:49,480 --> 01:04:52,520
Speaker 1: because clearly, if I say anything against it, it's like

1231
01:04:53,440 --> 01:04:56,040
Speaker 1: we just should ignore what all of our eyes are seeing. Right,

1232
01:04:56,560 --> 01:05:01,680
Speaker 1: And there's just been these number are staggering that since

1233
01:05:02,000 --> 01:05:05,880
Speaker 1: nineteen ninety, the amount of adults that have been diagnosed

1234
01:05:05,880 --> 01:05:09,240
Speaker 1: with obesity has doubled since nineteen ninety. So that's like

1235
01:05:09,720 --> 01:05:12,800
Speaker 1: when I was a kid, right, Like I was what

1236
01:05:12,880 --> 01:05:15,080
Speaker 1: was I from nineteen ninety to eleven years old? Right?

1237
01:05:16,160 --> 01:05:20,840
Speaker 1: Or the more staggering one is that it has quadrupled

1238
01:05:21,000 --> 01:05:24,760
Speaker 1: in children. So and there's all these studies that say

1239
01:05:24,800 --> 01:05:27,880
Speaker 1: that if kids are obese, they end up growing up

1240
01:05:27,920 --> 01:05:30,160
Speaker 1: to be obese adults. They struggle with it for their

1241
01:05:30,280 --> 01:05:36,320
Speaker 1: entire life. It's they're saying twelve percent worldwide has obesity,

1242
01:05:36,400 --> 01:05:39,320
Speaker 1: Like it's just it's out of control. And I think

1243
01:05:39,360 --> 01:05:42,160
Speaker 1: a lot of it is because number one, we're kind

1244
01:05:42,160 --> 01:05:45,240
Speaker 1: of ignoring it and pretending like it doesn't exist when

1245
01:05:45,280 --> 01:05:50,240
Speaker 1: it does exist, and we can blame I mean, there's

1246
01:05:50,240 --> 01:05:52,120
Speaker 1: so many different factors to blame it on.

1247
01:05:52,240 --> 01:05:52,479
Speaker 2: Right.

1248
01:05:53,440 --> 01:05:55,680
Speaker 1: I could even say, like you can blame it on

1249
01:05:55,760 --> 01:05:57,960
Speaker 1: door dash right, like people don't even get up and

1250
01:05:58,000 --> 01:06:00,520
Speaker 1: go in their car anymore to get food, like no

1251
01:06:00,640 --> 01:06:01,600
Speaker 1: calories being burned.

1252
01:06:01,640 --> 01:06:04,760
Speaker 2: It's just right. I mean, that could be a huge

1253
01:06:04,760 --> 01:06:05,440
Speaker 2: part of it.

1254
01:06:05,640 --> 01:06:09,920
Speaker 1: Just the difficulty of society and anxiety and depression and

1255
01:06:10,720 --> 01:06:13,200
Speaker 1: things are really heavy right now. You know that's another

1256
01:06:13,280 --> 01:06:18,720
Speaker 1: contributing factor. We're very busy right now. Most parents, if

1257
01:06:18,760 --> 01:06:21,000
Speaker 1: you even do have a two parent householder working, and

1258
01:06:21,040 --> 01:06:25,040
Speaker 1: it's just like lots of processed foods. There's just it's multifactorial.

1259
01:06:25,120 --> 01:06:28,680
Speaker 1: But I think that us saying like it doesn't exist

1260
01:06:28,720 --> 01:06:31,680
Speaker 1: and it doesn't make you not be unhealthy, it's just

1261
01:06:31,760 --> 01:06:38,360
Speaker 1: completely ignoring the Huger problem of it. So again I

1262
01:06:38,480 --> 01:06:40,560
Speaker 1: just implore you to check out that post and read

1263
01:06:40,600 --> 01:06:42,960
Speaker 1: the comments and see for yourself what you think about it.

1264
01:06:44,240 --> 01:06:46,320
Speaker 1: Let me tell you this next one is something I

1265
01:06:46,360 --> 01:06:48,440
Speaker 1: never thought. This is my favorite story of the week.

1266
01:06:48,560 --> 01:06:51,520
Speaker 1: I never thought i'd hear this. So men are complaining

1267
01:06:51,720 --> 01:06:57,160
Speaker 1: about the stink associated with bbls. So apparently when you

1268
01:06:57,280 --> 01:06:59,960
Speaker 1: change your anatomy and you make your ass really big,

1269
01:07:00,120 --> 01:07:02,880
Speaker 1: your arm can't like reach around your butt as easily

1270
01:07:03,040 --> 01:07:06,919
Speaker 1: and you can't wipe as properly. And there was one

1271
01:07:06,960 --> 01:07:10,040
Speaker 1: girl on there that was saying that her ass was

1272
01:07:10,080 --> 01:07:13,480
Speaker 1: so rock hard she couldn't get barely get toilet paper

1273
01:07:13,520 --> 01:07:18,080
Speaker 1: between her ass cheeks. Yeah, interesting, right. I never I

1274
01:07:18,160 --> 01:07:20,240
Speaker 1: never even thought of this when it came to this

1275
01:07:20,280 --> 01:07:23,080
Speaker 1: procedure at all. But this one guy said he was

1276
01:07:23,120 --> 01:07:25,360
Speaker 1: on a date and he just could not believe the

1277
01:07:25,440 --> 01:07:28,200
Speaker 1: smell and it was like a quote assault on his nose.

1278
01:07:29,960 --> 01:07:31,160
Speaker 2: I just love it so much.

1279
01:07:31,240 --> 01:07:34,000
Speaker 1: I'm just like, yeah, like spread that ass open and

1280
01:07:34,040 --> 01:07:35,640
Speaker 1: like let that smell come out.

1281
01:07:35,720 --> 01:07:38,640
Speaker 2: Yeah, real nice. It doesn't seem as sexy now, does it.

1282
01:07:38,960 --> 01:07:42,960
Speaker 1: No, definitely not okay. Next, a man woke up to

1283
01:07:43,040 --> 01:07:46,440
Speaker 1: find he was given a vasectomy by accident after going

1284
01:07:46,480 --> 01:07:52,040
Speaker 1: in initially for gallbladder operation in Argentina. This shit is

1285
01:07:52,120 --> 01:07:56,360
Speaker 1: so outrageous, Like, so everyone in America is always like, yeah,

1286
01:07:56,400 --> 01:07:59,400
Speaker 1: these other countries have free healthcare and stuff. It's like, yeah,

1287
01:07:59,480 --> 01:08:02,640
Speaker 1: you really want this, don't you. Apparently this guy was

1288
01:08:02,680 --> 01:08:05,400
Speaker 1: on the schedule to get his gallbladder removed, and then

1289
01:08:05,400 --> 01:08:08,080
Speaker 1: they put him on the schedule the following day, but

1290
01:08:08,200 --> 01:08:11,640
Speaker 1: that day they didn't remove gallbladders, and his name accidentally

1291
01:08:11,680 --> 01:08:14,240
Speaker 1: got on the list of people that were getting vest sectomies,

1292
01:08:14,720 --> 01:08:17,000
Speaker 1: and he went to sleep and he woke up and

1293
01:08:17,040 --> 01:08:19,679
Speaker 1: the nurse was like, oh, yeah, we made an accident.

1294
01:08:19,760 --> 01:08:23,240
Speaker 1: We gave you a ves sectomy instead of giving removing

1295
01:08:23,240 --> 01:08:26,759
Speaker 1: your gallbladder, which he's devastated by because he wanted more kids.

1296
01:08:27,560 --> 01:08:30,840
Speaker 1: So a vest sectomy is just they're cutting the vast

1297
01:08:30,880 --> 01:08:34,200
Speaker 1: deaf friends, which is not allowing you to get someone

1298
01:08:34,240 --> 01:08:36,920
Speaker 1: pregnant basically. But there's a lot of holes in this

1299
01:08:36,960 --> 01:08:40,280
Speaker 1: story because the guy saying that he wanted to have

1300
01:08:40,320 --> 01:08:42,599
Speaker 1: more kids. But like Diddy, I mean I would say

1301
01:08:42,600 --> 01:08:44,320
Speaker 1: that too if I was looking to sue the hospital.

1302
01:08:44,360 --> 01:08:48,880
Speaker 2: Maybe I don't know, but yeah, I don't know.

1303
01:08:48,960 --> 01:08:51,479
Speaker 1: He's also saying that there's no chance that they could

1304
01:08:51,479 --> 01:08:55,799
Speaker 1: fix it, and they they reverse vessectomies and people have babies.

1305
01:08:55,840 --> 01:08:57,360
Speaker 2: I used to listen.

1306
01:08:57,560 --> 01:08:59,880
Speaker 1: Let me tell you about one nasty job I have

1307
01:09:00,120 --> 01:09:02,040
Speaker 1: that I don't think about too much. Is when I

1308
01:09:02,200 --> 01:09:05,600
Speaker 1: was a cidotech. I used to have to This is

1309
01:09:05,640 --> 01:09:09,600
Speaker 1: like an interesting story. Actually, so when we worked in cytology,

1310
01:09:09,720 --> 01:09:14,240
Speaker 1: we had to look at seamen under the microscope. Right

1311
01:09:15,080 --> 01:09:18,439
Speaker 1: when guys are having problems, usually when they're having problems

1312
01:09:18,520 --> 01:09:24,759
Speaker 1: getting their their significant other pregnant. Right, Okay, so the guys,

1313
01:09:25,000 --> 01:09:27,920
Speaker 1: but like the fresher the specimen. Right, So the guys

1314
01:09:27,960 --> 01:09:30,519
Speaker 1: would have to come in and like jerk off in

1315
01:09:30,600 --> 01:09:33,439
Speaker 1: our bathroom, and it was like our bathroom at the

1316
01:09:33,439 --> 01:09:36,320
Speaker 1: hospital that like the employees used. We had one bathroom

1317
01:09:36,320 --> 01:09:39,760
Speaker 1: in our department. So we would like we would go

1318
01:09:39,880 --> 01:09:43,960
Speaker 1: like run. I never told you this story. Actually, So

1319
01:09:44,080 --> 01:09:47,839
Speaker 1: one time Susie, remember Susie at Susie. Susie was running

1320
01:09:47,920 --> 01:09:51,759
Speaker 1: into the bathroom and she was like had to peeer pants,

1321
01:09:51,800 --> 01:09:53,680
Speaker 1: you know. She ran over there and she just like

1322
01:09:53,960 --> 01:09:56,360
Speaker 1: opened the door and there was a guy sitting on

1323
01:09:56,400 --> 01:09:59,439
Speaker 1: the floor like waxing his carrot, like on the floor

1324
01:10:00,479 --> 01:10:01,080
Speaker 1: in the hospital.

1325
01:10:01,200 --> 01:10:01,960
Speaker 2: Yeah, said term.

1326
01:10:02,040 --> 01:10:05,839
Speaker 1: Ever again, well that's how we used to describe it.

1327
01:10:06,880 --> 01:10:10,320
Speaker 1: When Susie found this guy discuss and he never dropped

1328
01:10:10,320 --> 01:10:12,439
Speaker 1: his specimen off. He was so embarrassed that he left.

1329
01:10:12,840 --> 01:10:14,720
Speaker 1: But like all the time, it would be like, oh,

1330
01:10:14,760 --> 01:10:16,720
Speaker 1: I'm gonna go to the bathroom right before we go

1331
01:10:16,760 --> 01:10:18,360
Speaker 1: to lunch, and then you would knock on the door

1332
01:10:18,360 --> 01:10:20,280
Speaker 1: and be locked, and some guy would be like coming

1333
01:10:20,280 --> 01:10:23,599
Speaker 1: out like bringing a specimen to the window.

1334
01:10:23,680 --> 01:10:26,040
Speaker 2: Yeah, and we know what they're doing in there, right.

1335
01:10:26,160 --> 01:10:28,200
Speaker 1: It was just we're just like, there can't be like

1336
01:10:28,240 --> 01:10:30,519
Speaker 1: a special room where these I felt bad for the

1337
01:10:30,560 --> 01:10:33,080
Speaker 1: guys too. There would always be like a wife standing

1338
01:10:33,080 --> 01:10:35,519
Speaker 1: outside the door, like tapping her foot, like come on,

1339
01:10:35,720 --> 01:10:37,960
Speaker 1: let's get this over with, you know.

1340
01:10:38,080 --> 01:10:41,679
Speaker 2: And it was just like a clinical hospital bathrooms.

1341
01:10:41,080 --> 01:10:44,640
Speaker 1: Because don't fertility clinics have special rooms that have like

1342
01:10:44,760 --> 01:10:46,200
Speaker 1: magazines and stuff.

1343
01:10:46,200 --> 01:10:46,960
Speaker 2: That's what I thought.

1344
01:10:47,000 --> 01:10:48,960
Speaker 1: I thought they would have had like a TV and

1345
01:10:49,040 --> 01:10:52,120
Speaker 1: some movies and like a little entertainment. No, it just

1346
01:10:52,240 --> 01:10:54,880
Speaker 1: was like go in this room right now and make

1347
01:10:54,960 --> 01:10:57,120
Speaker 1: this happen and give this spec It was just totally

1348
01:10:57,160 --> 01:10:58,400
Speaker 1: mortifying for the guy.

1349
01:10:58,240 --> 01:11:01,599
Speaker 2: To be honest with you. But yeah, so I used

1350
01:11:01,640 --> 01:11:01,960
Speaker 2: to do this.

1351
01:11:02,120 --> 01:11:04,680
Speaker 1: So anyway, getting back, I went on a little bit

1352
01:11:04,680 --> 01:11:08,920
Speaker 1: of a tangent here. But when a guy gets a

1353
01:11:08,960 --> 01:11:12,040
Speaker 1: vas sectomy, they could reverse it, and then I would

1354
01:11:12,080 --> 01:11:14,320
Speaker 1: look at the sperm to number one, check to make

1355
01:11:14,360 --> 01:11:17,880
Speaker 1: sure that the vasseectomy worked, and number two, if a

1356
01:11:17,920 --> 01:11:20,920
Speaker 1: person had it reversed, to see if sperm were moving through.

1357
01:11:21,320 --> 01:11:23,840
Speaker 1: And I'll tell you that lots of times you even

1358
01:11:23,840 --> 01:11:26,000
Speaker 1: if a guy had a v sectomy. Sometimes you would

1359
01:11:26,000 --> 01:11:28,360
Speaker 1: see one or two sperm here or there, not like

1360
01:11:28,439 --> 01:11:31,080
Speaker 1: the millions that are normally there. But guess what, it

1361
01:11:31,120 --> 01:11:34,360
Speaker 1: only takes one to get someone pregnant. So yeah, it's

1362
01:11:34,400 --> 01:11:37,160
Speaker 1: not as easy, but they reversed vassectomies and people have

1363
01:11:37,280 --> 01:11:40,320
Speaker 1: babies that way all the time. That being said, he

1364
01:11:40,320 --> 01:11:43,800
Speaker 1: should have never had that done by accident. But that

1365
01:11:43,920 --> 01:11:47,400
Speaker 1: was just like a little side note for you. No, okay.

1366
01:11:47,840 --> 01:11:51,439
Speaker 1: Doctors at a New Delhi hospital removed thirty nine coins

1367
01:11:51,439 --> 01:11:54,640
Speaker 1: and thirty seven magnets from a man's intestine after he

1368
01:11:54,800 --> 01:11:57,640
Speaker 1: swallowed them under the assumption that zinc would help with

1369
01:11:57,680 --> 01:12:01,840
Speaker 1: his body building. What mon The picture from this is

1370
01:12:01,880 --> 01:12:04,200
Speaker 1: really good too. I thought you would really appreciate the

1371
01:12:04,280 --> 01:12:07,880
Speaker 1: pictures in this article. It is. It's just I don't

1372
01:12:07,880 --> 01:12:10,719
Speaker 1: even know if I buy that story. Like I understand

1373
01:12:10,800 --> 01:12:14,640
Speaker 1: he wanted to increase his zinc. He probably could have

1374
01:12:14,720 --> 01:12:19,240
Speaker 1: died from this easily, just not from zinc tousic toxicity,

1375
01:12:19,280 --> 01:12:24,120
Speaker 1: but also from magnets and metal are not good. And

1376
01:12:24,560 --> 01:12:25,759
Speaker 1: that's exactly what happened.

1377
01:12:25,760 --> 01:12:27,519
Speaker 2: He ate them.

1378
01:12:27,520 --> 01:12:30,240
Speaker 1: They got into his gi track and what happens is

1379
01:12:30,240 --> 01:12:32,800
Speaker 1: is like think of your intestines like a hose, right,

1380
01:12:32,880 --> 01:12:35,559
Speaker 1: and you have some magnets in one portion of this

1381
01:12:35,680 --> 01:12:38,160
Speaker 1: hose and some magnets in the other portion of the hose. Well,

1382
01:12:38,160 --> 01:12:40,639
Speaker 1: what happens when magnets get near each other, they click,

1383
01:12:41,080 --> 01:12:43,479
Speaker 1: and then the magnets click together, and all of a sudden,

1384
01:12:43,640 --> 01:12:47,559
Speaker 1: you have the hoses like kinked together, basically, and you're

1385
01:12:47,600 --> 01:12:52,080
Speaker 1: causing an obstruction. So that, I mean, that's the reason

1386
01:12:52,080 --> 01:12:53,800
Speaker 1: that he went to the hospital because he was in

1387
01:12:53,840 --> 01:12:56,439
Speaker 1: a tremendous amount of pain and they found all this stuff.

1388
01:12:56,479 --> 01:12:58,960
Speaker 1: But and this is a condition known as pica when

1389
01:12:58,960 --> 01:13:04,519
Speaker 1: people eat that are not nutritional, which is it happens

1390
01:13:04,560 --> 01:13:07,000
Speaker 1: all the time. There's not like a reason. Sometimes people

1391
01:13:07,040 --> 01:13:09,840
Speaker 1: don't really have a reason except that they're just they

1392
01:13:09,880 --> 01:13:13,120
Speaker 1: have this condition. So he's saying that that's why he

1393
01:13:13,160 --> 01:13:15,320
Speaker 1: did this. Maybe he was trying to make it seem

1394
01:13:15,360 --> 01:13:17,360
Speaker 1: like he had a real reason to do that. Maybe

1395
01:13:17,400 --> 01:13:19,479
Speaker 1: he really did. I don't know where he heard that from.

1396
01:13:19,520 --> 01:13:23,640
Speaker 1: But luckily they were able to save his life and

1397
01:13:23,760 --> 01:13:25,680
Speaker 1: he was only in the hospital for a week and

1398
01:13:25,760 --> 01:13:31,120
Speaker 1: then he was leaving. He left and seems to be fine. Yeah,

1399
01:13:31,160 --> 01:13:33,280
Speaker 1: so definitely a week. I mean, I don't know if

1400
01:13:33,320 --> 01:13:36,040
Speaker 1: you're mentally fine, but this is something out of like

1401
01:13:36,160 --> 01:13:41,559
Speaker 1: my strange addiction. For sure. That's like another really good show. Actually, yeah,

1402
01:13:41,640 --> 01:13:44,920
Speaker 1: it really is. Okay, on the other death news, So

1403
01:13:45,160 --> 01:13:48,559
Speaker 1: first let's start off with excessive drinking deaths. Get into

1404
01:13:48,560 --> 01:13:51,880
Speaker 1: this one, all right. So this one's a little weird.

1405
01:13:52,360 --> 01:13:54,920
Speaker 1: And I kept reading the article over and over again

1406
01:13:54,960 --> 01:13:58,240
Speaker 1: to make sure that this was making sense to me,

1407
01:13:58,360 --> 01:14:03,040
Speaker 1: because I mean, obviously, like the lockdowns caused loneliness, depression,

1408
01:14:03,240 --> 01:14:06,519
Speaker 1: so and so. But they're saying, the CDC is saying

1409
01:14:06,600 --> 01:14:11,400
Speaker 1: that throughout the pandemic they were having up to five

1410
01:14:11,520 --> 01:14:17,439
Speaker 1: hundred deaths a day because of over alcohol consumption. Five

1411
01:14:17,520 --> 01:14:21,920
Speaker 1: hundred deaths a day. Okay, you read that correctly, right. Yeah.

1412
01:14:22,720 --> 01:14:26,160
Speaker 2: So there's there's a website.

1413
01:14:25,600 --> 01:14:28,920
Speaker 1: That I've been looking at this entire time of the

1414
01:14:28,960 --> 01:14:32,160
Speaker 1: pandemic and everything that's called our World indata dot org.

1415
01:14:34,280 --> 01:14:37,839
Speaker 1: So in April of twenty twenty, that's really when everything started.

1416
01:14:38,439 --> 01:14:40,920
Speaker 1: Right before that started going to shit, like when they

1417
01:14:41,720 --> 01:14:46,960
Speaker 1: lockdown on Lilian's birthday, it was in March seventeenth. At

1418
01:14:46,960 --> 01:14:50,600
Speaker 1: the peak of that time, there were and this is

1419
01:14:50,640 --> 01:14:54,360
Speaker 1: when like the whole world shut down, the highest amounted

1420
01:14:54,560 --> 01:14:57,880
Speaker 1: deaths in one day was two thousand, two hundred and

1421
01:14:57,920 --> 01:15:02,840
Speaker 1: seventy one. And you saw what they did from COVID, right, Yeah,

1422
01:15:02,880 --> 01:15:06,519
Speaker 1: But like you're saying, at that time there was five

1423
01:15:06,640 --> 01:15:09,800
Speaker 1: hundred people a day dying from alcohol. That's that's like

1424
01:15:09,920 --> 01:15:12,559
Speaker 1: not too far off of that number, you know what

1425
01:15:12,560 --> 01:15:15,240
Speaker 1: I mean. And they weren't and they weren't doing anything

1426
01:15:15,240 --> 01:15:18,519
Speaker 1: about that, and they were they were keeping people in

1427
01:15:18,560 --> 01:15:20,960
Speaker 1: that depressed, lonely state, you know what I mean, Like

1428
01:15:21,000 --> 01:15:21,639
Speaker 1: they just didn't.

1429
01:15:22,080 --> 01:15:22,720
Speaker 2: I mean, I guess in.

1430
01:15:22,720 --> 01:15:25,800
Speaker 1: Hindsight you could look back and say, oh, well, lots

1431
01:15:25,800 --> 01:15:28,680
Speaker 1: of people were affected by the lockdowns. But I mean,

1432
01:15:28,680 --> 01:15:30,679
Speaker 1: I think there was a plenty of people that were

1433
01:15:31,080 --> 01:15:33,599
Speaker 1: arguing that it was a really horrible idea at the time,

1434
01:15:34,240 --> 01:15:39,200
Speaker 1: So don't I don't know, I don't know how they

1435
01:15:39,240 --> 01:15:42,000
Speaker 1: got to that. But even in June, So in June,

1436
01:15:42,800 --> 01:15:46,160
Speaker 1: this is April twenty twenty, two hundred and seventy one

1437
01:15:46,280 --> 01:15:48,480
Speaker 1: people died. That was at the peak of the pandemic.

1438
01:15:49,240 --> 01:15:53,880
Speaker 1: June of that same year. It went down June thirtieth,

1439
01:15:53,880 --> 01:15:56,559
Speaker 1: twenty and twenty, it was eight hundred and sixty eight

1440
01:15:56,600 --> 01:16:00,400
Speaker 1: people die a day. But you're saying that five hundred

1441
01:16:00,400 --> 01:16:03,080
Speaker 1: people that were dying a day from alcohol use during

1442
01:16:03,120 --> 01:16:06,000
Speaker 1: that time. To me, it was like equivalent, It should

1443
01:16:06,000 --> 01:16:08,000
Speaker 1: have been equivalently like.

1444
01:16:09,439 --> 01:16:09,919
Speaker 2: Important.

1445
01:16:09,960 --> 01:16:12,640
Speaker 1: I don't know, like just I'm just looking at the

1446
01:16:12,720 --> 01:16:16,080
Speaker 1: numbers on this website, I think, I mean, I think

1447
01:16:16,120 --> 01:16:19,080
Speaker 1: it's just important to note that, you know, not a

1448
01:16:19,120 --> 01:16:21,719
Speaker 1: lot of people knew what was coming at that time.

1449
01:16:22,080 --> 01:16:25,920
Speaker 1: It was scary for everybody. There was stress, you know,

1450
01:16:26,000 --> 01:16:30,400
Speaker 1: they said, stress, loneliness, social isolation, social isolation, and mental

1451
01:16:30,400 --> 01:16:34,559
Speaker 1: health conditions all contributed to excessive alcohol consumption. You know,

1452
01:16:35,160 --> 01:16:37,559
Speaker 1: I drank, like I don't really drink that much, but

1453
01:16:37,640 --> 01:16:39,840
Speaker 1: I certainly drank more when I was in the house

1454
01:16:39,840 --> 01:16:43,400
Speaker 1: because I didn't have any responsibilities for months. So you

1455
01:16:43,479 --> 01:16:46,439
Speaker 1: have to take that all into consideration. But I think

1456
01:16:47,479 --> 01:16:49,800
Speaker 1: it's more in women than in men, for sure. Yeah,

1457
01:16:49,800 --> 01:16:51,400
Speaker 1: And I think what you're trying to get at is

1458
01:16:51,479 --> 01:16:55,200
Speaker 1: just like why wasn't this as sensationalized as everything else,

1459
01:16:55,240 --> 01:16:57,960
Speaker 1: Because it's just as important that we understand the effects

1460
01:16:58,000 --> 01:17:00,719
Speaker 1: of this. That's why I was read in the article

1461
01:17:00,800 --> 01:17:03,160
Speaker 1: and thinking like they put this article out and nobody's

1462
01:17:03,200 --> 01:17:05,400
Speaker 1: really made a big deal about it, and because people

1463
01:17:05,560 --> 01:17:08,280
Speaker 1: wants to keep drinking like, you know what I mean,

1464
01:17:08,439 --> 01:17:10,240
Speaker 1: people make big deals out of what they want to

1465
01:17:10,280 --> 01:17:11,320
Speaker 1: make big deals about.

1466
01:17:11,520 --> 01:17:12,519
Speaker 2: Yeah, I get that.

1467
01:17:12,400 --> 01:17:15,600
Speaker 1: People want alcohol. Alcohol is one of the wealthiest industries

1468
01:17:16,040 --> 01:17:18,680
Speaker 1: in this entire world, So they're not going to make

1469
01:17:18,680 --> 01:17:20,799
Speaker 1: a big deal about it. And I'm sure alcohol companies

1470
01:17:20,840 --> 01:17:23,000
Speaker 1: will even pay to try to kill this article from

1471
01:17:23,600 --> 01:17:26,880
Speaker 1: reaching the light. Yeah, nobody cares. I doubt that it

1472
01:17:26,920 --> 01:17:29,360
Speaker 1: was even like talked about on the news. Honestly, no,

1473
01:17:29,560 --> 01:17:31,400
Speaker 1: because they all drink too, so they don't want to

1474
01:17:31,439 --> 01:17:34,120
Speaker 1: hear it. It's just it's just what it is. It

1475
01:17:34,479 --> 01:17:37,519
Speaker 1: was like when all the information started rolling out about

1476
01:17:37,520 --> 01:17:41,320
Speaker 1: cigarettes in the fifties and sixties, right, like everybody smoked everyone,

1477
01:17:41,880 --> 01:17:45,240
Speaker 1: and nobody wanted to hear it because everybody smoked, and

1478
01:17:45,320 --> 01:17:48,599
Speaker 1: until somebody they know died, you know, it's until somebody

1479
01:17:48,640 --> 01:17:52,639
Speaker 1: who know is directly affected, right then you start caring. Yeah,

1480
01:17:52,760 --> 01:17:56,040
Speaker 1: and that's when it comes into play. Okay, last story

1481
01:17:56,200 --> 01:18:01,200
Speaker 1: is about a new autopsy simulator game. So Autopsies Simulator

1482
01:18:01,360 --> 01:18:05,640
Speaker 1: is an upcoming narrative driven psychological horror game coming to

1483
01:18:05,680 --> 01:18:09,280
Speaker 1: twenty twenty four. Yeah. I just added this one and

1484
01:18:09,720 --> 01:18:11,960
Speaker 1: as a little fun thing. I didn't even hear about this,

1485
01:18:12,040 --> 01:18:17,160
Speaker 1: but apparently they've consulted real forensic scientist and it's going

1486
01:18:17,200 --> 01:18:19,439
Speaker 1: to be a game, but you're also going to be

1487
01:18:19,479 --> 01:18:22,160
Speaker 1: given a case to solve a crime and do an autopsy.

1488
01:18:22,760 --> 01:18:25,479
Speaker 1: I'm like, I did see there is like a video

1489
01:18:25,600 --> 01:18:28,200
Speaker 1: that they show like a teaser of it, and the

1490
01:18:28,200 --> 01:18:31,840
Speaker 1: morgue looks really creepy, and the real morgue doesn't look

1491
01:18:31,960 --> 01:18:34,240
Speaker 1: so creepy. I guess if the lights were kind of broken,

1492
01:18:34,280 --> 01:18:36,719
Speaker 1: it could look a little creepy. But they didn't really

1493
01:18:36,760 --> 01:18:38,880
Speaker 1: show anything as to what the autopsy would look like.

1494
01:18:38,920 --> 01:18:41,040
Speaker 1: But I'm curious just to see what it looks like

1495
01:18:41,080 --> 01:18:43,360
Speaker 1: if it's real looking. I think what's weird is that

1496
01:18:43,439 --> 01:18:47,120
Speaker 1: you're playing a person seemingly having a psychological breakdown and

1497
01:18:47,120 --> 01:18:50,240
Speaker 1: then performing an autopsy while you're mid psycolois. Should Yeah,

1498
01:18:50,280 --> 01:18:52,439
Speaker 1: I don't know what the I don't know, Like I

1499
01:18:52,479 --> 01:18:54,960
Speaker 1: think I was just thinking like if it was if

1500
01:18:55,000 --> 01:18:57,040
Speaker 1: it was like a real game, to like a real

1501
01:18:57,120 --> 01:18:59,960
Speaker 1: CSI game kind of thing, that would be kind of fun.

1502
01:19:00,120 --> 01:19:03,360
Speaker 1: But if yeah, I don't understand the whole You're you're

1503
01:19:03,400 --> 01:19:06,320
Speaker 1: having a breakdown and doing like why would you do

1504
01:19:06,360 --> 01:19:07,519
Speaker 1: that and then do an autopsy?

1505
01:19:07,560 --> 01:19:08,640
Speaker 2: I don't really understand it.

1506
01:19:08,680 --> 01:19:10,559
Speaker 1: But I don't know. In the trailer, it's like there

1507
01:19:10,640 --> 01:19:13,800
Speaker 1: was like pills involved. Is there like some simulation where

1508
01:19:13,840 --> 01:19:15,840
Speaker 1: you're high trying to do that? Yeah, that's what I

1509
01:19:15,960 --> 01:19:16,720
Speaker 1: was wondering too.

1510
01:19:16,760 --> 01:19:19,280
Speaker 2: I saw the guy like taking pills and I'm like, wait.

1511
01:19:19,120 --> 01:19:21,479
Speaker 1: Wait, like you have to I mean, you do have

1512
01:19:21,520 --> 01:19:23,639
Speaker 1: to mentally prepare to do that maybe, but.

1513
01:19:24,240 --> 01:19:27,120
Speaker 2: I don't know what that was all about.

1514
01:19:27,520 --> 01:19:30,920
Speaker 1: Okay, So onto Questions of the Day. Every Friday on

1515
01:19:30,960 --> 01:19:33,240
Speaker 1: the ap Mother Knows Death Instagram, we put a little

1516
01:19:33,320 --> 01:19:35,679
Speaker 1: question box up you guys cauld ask whatever you want.

1517
01:19:36,080 --> 01:19:38,840
Speaker 1: First we have is can you get an autopsy for

1518
01:19:38,960 --> 01:19:40,920
Speaker 1: your pet? Yeah?

1519
01:19:40,960 --> 01:19:41,320
Speaker 2: You can.

1520
01:19:41,640 --> 01:19:45,240
Speaker 1: Actually it's caught a neck cropsy and they are done.

1521
01:19:46,200 --> 01:19:48,600
Speaker 2: They're usually if if you want the VET to do it.

1522
01:19:48,640 --> 01:19:50,599
Speaker 1: I think that the VAT could do it, or they

1523
01:19:50,840 --> 01:19:53,599
Speaker 1: maybe will send the body somewhere to get it done.

1524
01:19:54,120 --> 01:19:55,719
Speaker 2: They do it if if your.

1525
01:19:55,640 --> 01:19:57,439
Speaker 1: Dog dies and you want to know what the cause

1526
01:19:57,479 --> 01:19:59,439
Speaker 1: of death is, but like you have to pay for that,

1527
01:19:59,479 --> 01:20:02,599
Speaker 1: and sometime that might not be worth it to you.

1528
01:20:03,040 --> 01:20:05,080
Speaker 1: Sometimes the VET might ask you if they can do

1529
01:20:05,120 --> 01:20:09,400
Speaker 1: an autopsy on your animal for training purposes, So they

1530
01:20:09,439 --> 01:20:13,519
Speaker 1: do do them and they also this is like kind

1531
01:20:13,560 --> 01:20:16,479
Speaker 1: of interesting that you're asking this, because I do have

1532
01:20:16,520 --> 01:20:18,559
Speaker 1: a post coming up in the gross room this week

1533
01:20:18,680 --> 01:20:21,880
Speaker 1: about a necropsy that was done on a dog for

1534
01:20:21,920 --> 01:20:25,479
Speaker 1: a forensic case. Actually, and hopefully within the next couple

1535
01:20:25,520 --> 01:20:28,280
Speaker 1: of weeks, we'll be talking to a forensic scientist that

1536
01:20:28,360 --> 01:20:33,320
Speaker 1: does these necropsies on animals. They help because animals can

1537
01:20:33,360 --> 01:20:35,880
Speaker 1: be victims of crimes too, right, Like they can get shot.

1538
01:20:36,120 --> 01:20:39,360
Speaker 1: They could help with forensic investigations. And also they do

1539
01:20:39,520 --> 01:20:44,120
Speaker 1: forensic autopsies on these animals because of cases of animal abuse,

1540
01:20:44,200 --> 01:20:46,880
Speaker 1: so crimes get committed against animals too.

1541
01:20:46,960 --> 01:20:49,559
Speaker 2: So yeah, it's totally a thing, all right.

1542
01:20:49,760 --> 01:20:52,400
Speaker 1: What other city states will we live in if we

1543
01:20:52,479 --> 01:20:57,719
Speaker 1: could go anywhere else? I don't know because I really

1544
01:20:57,760 --> 01:21:00,519
Speaker 1: haven't been to any other states. I feel like I

1545
01:21:00,560 --> 01:21:03,479
Speaker 1: would want to live in Arizona, but I've never really

1546
01:21:03,520 --> 01:21:04,400
Speaker 1: actually been there.

1547
01:21:04,840 --> 01:21:09,479
Speaker 2: Florida, No, it's I couldn't. I do love Savannah, actually,

1548
01:21:10,000 --> 01:21:10,479
Speaker 2: but I.

1549
01:21:10,920 --> 01:21:14,720
Speaker 1: Can't deal with that environment. And my hair I just

1550
01:21:14,800 --> 01:21:17,559
Speaker 1: can't do it. My hair is like this big and

1551
01:21:17,640 --> 01:21:23,360
Speaker 1: crazy and just I couldn't do it. Frizzy, what do

1552
01:21:23,400 --> 01:21:27,240
Speaker 1: you think are you like Tennessee. Yeah, my dream is

1553
01:21:27,280 --> 01:21:31,280
Speaker 1: to move to Tennessee. I really I don't think Nashville's

1554
01:21:31,280 --> 01:21:34,200
Speaker 1: for me. But I really loved Knoxville a lot. And

1555
01:21:34,840 --> 01:21:37,600
Speaker 1: what I really loved about being there was I like

1556
01:21:37,680 --> 01:21:40,680
Speaker 1: that it's kind of a small city. It's very you know,

1557
01:21:40,800 --> 01:21:43,800
Speaker 1: it's clean. You could ride the scooters everywhere, and you

1558
01:21:43,800 --> 01:21:45,880
Speaker 1: could just walk a lot of places, and it's really

1559
01:21:45,960 --> 01:21:49,400
Speaker 1: nice and the food's really good there. And on top

1560
01:21:49,479 --> 01:21:52,600
Speaker 1: of that, it's only an hour away from the Smoky Mountains,

1561
01:21:52,680 --> 01:21:56,800
Speaker 1: so it's really nice. Like where we live outside of Philadelphia,

1562
01:21:56,960 --> 01:21:58,840
Speaker 1: the Beach is only an hour from us, so to

1563
01:21:58,920 --> 01:22:01,559
Speaker 1: think that the Smoking Mountains is an hour from there

1564
01:22:01,760 --> 01:22:04,160
Speaker 1: is really cool because you can just you know, go

1565
01:22:04,200 --> 01:22:06,240
Speaker 1: pop over there for a day and do some fun things.

1566
01:22:06,280 --> 01:22:08,679
Speaker 1: My dream is to live in the mountain like setting,

1567
01:22:08,720 --> 01:22:12,160
Speaker 1: and Knoxville isn't quite the Mountains, but it's close enough

1568
01:22:12,200 --> 01:22:13,920
Speaker 1: for me that I would really like it. And it

1569
01:22:13,960 --> 01:22:16,680
Speaker 1: has the city vibe too, so you're not living in

1570
01:22:16,720 --> 01:22:17,760
Speaker 1: like total isolation.

1571
01:22:18,240 --> 01:22:18,479
Speaker 2: See.

1572
01:22:18,520 --> 01:22:20,640
Speaker 1: I really like where we live right now because we

1573
01:22:20,760 --> 01:22:24,040
Speaker 1: live like I could be in Philly in ten minutes.

1574
01:22:24,720 --> 01:22:26,800
Speaker 1: New York takes us what like an hour to get there.

1575
01:22:27,400 --> 01:22:31,600
Speaker 1: Like if with traffic and everything, yeah, I guess like

1576
01:22:31,640 --> 01:22:35,479
Speaker 1: almost two hours. But the shore, we can go to

1577
01:22:35,560 --> 01:22:38,080
Speaker 1: the Poconos and mountains. Like it's just like a good

1578
01:22:38,120 --> 01:22:41,439
Speaker 1: scent with DC couple hours. Like it's a good central location.

1579
01:22:41,720 --> 01:22:44,200
Speaker 1: And I don't know if I could really ever move

1580
01:22:44,320 --> 01:22:46,400
Speaker 1: away from my family, Like I always say that, like

1581
01:22:46,439 --> 01:22:48,880
Speaker 1: I would love to have this house or this house

1582
01:22:48,960 --> 01:22:51,320
Speaker 1: or whatever, but like, ultimately I don't think I would

1583
01:22:51,360 --> 01:22:54,120
Speaker 1: do it. I could definitely live down the shore, though

1584
01:22:54,160 --> 01:22:58,000
Speaker 1: I think like I would rather be around pretty scenery

1585
01:22:58,040 --> 01:23:00,120
Speaker 1: than I am right now because now it's just like

1586
01:23:00,840 --> 01:23:03,840
Speaker 1: houses too close together kind of thing. But if I

1587
01:23:03,840 --> 01:23:06,479
Speaker 1: could get a house like down the shore in a

1588
01:23:06,479 --> 01:23:11,000
Speaker 1: non congested part or in Pennsylvania somewhere, that's a little

1589
01:23:11,000 --> 01:23:13,120
Speaker 1: bit more chill, but I probably still stay around this

1590
01:23:13,200 --> 01:23:17,679
Speaker 1: area all right. Last, how did we meet our husbands?

1591
01:23:18,439 --> 01:23:20,680
Speaker 2: Wowwa? I met abe at Wowa.

1592
01:23:21,880 --> 01:23:25,800
Speaker 1: I first met Ricky at a birthday party for a

1593
01:23:25,880 --> 01:23:29,000
Speaker 1: mutual friend's kid, and then we were both dating other

1594
01:23:29,000 --> 01:23:30,680
Speaker 1: people at the time, and then a year and a

1595
01:23:30,720 --> 01:23:33,080
Speaker 1: half went by and then we weren't dating other people,

1596
01:23:33,479 --> 01:23:36,200
Speaker 1: and I feel like he kept accidentally bumping into me

1597
01:23:37,080 --> 01:23:41,200
Speaker 1: and are really good friends Amanda and Byron, brought him

1598
01:23:41,200 --> 01:23:43,960
Speaker 1: into my work one night because they knew that he

1599
01:23:44,040 --> 01:23:46,040
Speaker 1: had a crush on me, and I kind of had

1600
01:23:46,080 --> 01:23:48,640
Speaker 1: a crush on him, and then we started kind of

1601
01:23:48,640 --> 01:23:51,320
Speaker 1: hanging out from well. Then the week after that we

1602
01:23:51,600 --> 01:23:54,599
Speaker 1: bumped into each other again and then we started talking

1603
01:23:54,640 --> 01:23:57,240
Speaker 1: from there. But I blew him off at first. So

1604
01:23:57,240 --> 01:23:59,240
Speaker 1: I was graduating college that week and I'm like, I

1605
01:23:59,240 --> 01:24:02,240
Speaker 1: don't have time for you, so leave me alone right now.

1606
01:24:03,360 --> 01:24:05,639
Speaker 1: He was patient, and I'm thankful because he's the best

1607
01:24:05,680 --> 01:24:12,720
Speaker 1: husband ever. Oh so tomorrow morning, if anybody listens to

1608
01:24:12,760 --> 01:24:15,679
Speaker 1: this tonight or early tomorrow tomorrow morning, Friday, March eighth,

1609
01:24:15,760 --> 01:24:17,560
Speaker 1: you are going to be on the Elvis dur And

1610
01:24:17,680 --> 01:24:20,559
Speaker 1: Morning Show around seven point fifty in the morning. So

1611
01:24:20,640 --> 01:24:23,680
Speaker 1: that's really exciting. I can't wait, Stoke to go up.

1612
01:24:23,680 --> 01:24:26,559
Speaker 1: There is kitty next to you Tube new kitty. We

1613
01:24:26,600 --> 01:24:30,040
Speaker 1: have a new family member. Oh yeah, she I can't

1614
01:24:30,080 --> 01:24:32,719
Speaker 1: really grab her right now, she's she's under my leg.

1615
01:24:32,760 --> 01:24:35,320
Speaker 1: But we have a we adopted a cat that's a

1616
01:24:35,360 --> 01:24:38,280
Speaker 1: little handicap. She is missing an eye and a leg

1617
01:24:38,439 --> 01:24:42,080
Speaker 1: on the same side, and she's just so cute and sweet.

1618
01:24:42,720 --> 01:24:45,040
Speaker 1: I'll bring her on next time. She she just sits

1619
01:24:45,080 --> 01:24:47,479
Speaker 1: there all day and chills. She's just like so sweet,

1620
01:24:47,479 --> 01:24:50,759
Speaker 1: and we're in the we're in the process. We adopted

1621
01:24:50,800 --> 01:24:53,400
Speaker 1: her on Sunday, so we're in this like slow process

1622
01:24:53,479 --> 01:24:58,680
Speaker 1: of transitioning her and into the new cat with with

1623
01:24:58,760 --> 01:25:02,519
Speaker 1: our old cat, Thumpkin. And so she's like in my

1624
01:25:02,640 --> 01:25:05,160
Speaker 1: office and then the other cats outside. So now they

1625
01:25:05,160 --> 01:25:08,519
Speaker 1: have seen each other through the glass door, but they

1626
01:25:08,560 --> 01:25:12,640
Speaker 1: haven't met yet, like officially, and we're a little bit

1627
01:25:12,680 --> 01:25:16,679
Speaker 1: nervous about that because my other cat is very active

1628
01:25:16,720 --> 01:25:18,919
Speaker 1: and this one's just kind of chill. But she's obviously

1629
01:25:19,000 --> 01:25:22,800
Speaker 1: been through a lot. She was founding Camden and she

1630
01:25:23,040 --> 01:25:28,120
Speaker 1: had a pencil tied to her leg with electric tape.

1631
01:25:28,600 --> 01:25:31,840
Speaker 1: Someone I guess she had been injured and someone tried

1632
01:25:31,880 --> 01:25:34,719
Speaker 1: to repair it themselves. That's how she was walking around

1633
01:25:34,760 --> 01:25:37,479
Speaker 1: the city. And she also had a ruptured eye globe,

1634
01:25:37,520 --> 01:25:40,400
Speaker 1: so I don't know what happened to her, but she's

1635
01:25:40,439 --> 01:25:43,280
Speaker 1: been through a lot, and she's just she's really sweet

1636
01:25:43,320 --> 01:25:43,759
Speaker 1: and cute.

1637
01:25:43,800 --> 01:25:45,959
Speaker 2: So yeah, and her name.

1638
01:25:46,080 --> 01:25:48,639
Speaker 1: So her name that they gave her at the This

1639
01:25:48,720 --> 01:25:51,960
Speaker 1: is a shout out to the Pennsauken Animal Hospital and

1640
01:25:52,000 --> 01:25:56,519
Speaker 1: they're doing a helping pause thing. They find these cats

1641
01:25:56,800 --> 01:26:00,679
Speaker 1: or animals too dogs, and they rehabilitate them and put

1642
01:26:00,720 --> 01:26:02,720
Speaker 1: them with a foster home until they could be adopted.

1643
01:26:02,840 --> 01:26:06,800
Speaker 1: So they had named her Peggy the Pirate because she

1644
01:26:06,880 --> 01:26:08,679
Speaker 1: has a peg leg and they put like a little

1645
01:26:08,680 --> 01:26:12,320
Speaker 1: emoji over her eye of a pirate patch, which I

1646
01:26:12,360 --> 01:26:15,679
Speaker 1: thought was so cute, And so that's her name as

1647
01:26:15,680 --> 01:26:18,360
Speaker 1: of right now. The kids debate on Gabe wants to

1648
01:26:18,360 --> 01:26:21,439
Speaker 1: call her Tripod, and I'm like, Okay, I get the joke.

1649
01:26:21,640 --> 01:26:23,680
Speaker 1: I think you should keep Peggy. It's kind of a

1650
01:26:23,760 --> 01:26:27,840
Speaker 1: really cute name. It's like really mid century. Yeah, I mean,

1651
01:26:27,880 --> 01:26:29,720
Speaker 1: I don't have a problem with it, And like, what

1652
01:26:29,760 --> 01:26:33,200
Speaker 1: are you gonna call the cat tripod? That's just like

1653
01:26:33,360 --> 01:26:35,800
Speaker 1: do like it's a dumb animal name. It's just a

1654
01:26:36,040 --> 01:26:39,000
Speaker 1: it's not a name. And he did say Eileen, which

1655
01:26:39,040 --> 01:26:42,040
Speaker 1: was funny, you know, like Eileen to one side. I

1656
01:26:42,040 --> 01:26:45,160
Speaker 1: thought that was kind of funny. But no, I think

1657
01:26:45,200 --> 01:26:48,679
Speaker 1: Peggy the Pirate is fine. But Lilian and Lulu don't

1658
01:26:48,680 --> 01:26:51,920
Speaker 1: seem to think that it fits her personality, so we'll

1659
01:26:51,920 --> 01:26:54,479
Speaker 1: see how that goes, all right, guys, Well, thank you

1660
01:26:54,520 --> 01:26:59,360
Speaker 1: so much. Check out your appearance on Elvis Duran tomorrow morning, Friday,

1661
01:26:59,400 --> 01:27:02,720
Speaker 1: March eighth, and we have an awesome external exam next

1662
01:27:02,720 --> 01:27:05,680
Speaker 1: week with authors of the new book The Unclaimed, So

1663
01:27:05,920 --> 01:27:08,040
Speaker 1: don't miss that one. Oh yeah, that's a really good one.

1664
01:27:08,200 --> 01:27:08,760
Speaker 2: Check it out.

1665
01:27:11,880 --> 01:27:15,760
Speaker 1: Thank you for listening to Mother Nos Death. As a reminder,

1666
01:27:15,920 --> 01:27:19,720
Speaker 1: my training is as a pathologist's assistant. I have a

1667
01:27:19,760 --> 01:27:24,120
Speaker 1: master's level education and specialized in anatomy and pathology education.

1668
01:27:25,240 --> 01:27:27,400
Speaker 1: I am not a doctor and I have not diagnosed

1669
01:27:27,479 --> 01:27:31,120
Speaker 1: or treated anyone dead or alive without the assistance of

1670
01:27:31,160 --> 01:27:36,360
Speaker 1: a licensed medical doctor. This show, my website, and social

1671
01:27:36,400 --> 01:27:39,920
Speaker 1: media accounts are designed to educate and inform people based

1672
01:27:39,960 --> 01:27:43,880
Speaker 1: on my experience working in pathology, so they can make

1673
01:27:44,080 --> 01:27:48,759
Speaker 1: healthier decisions regarding their life and well being. Always remember

1674
01:27:48,800 --> 01:27:51,919
Speaker 1: that science is changing every day and the opinions expressed

1675
01:27:51,920 --> 01:27:54,559
Speaker 1: in this episode are based on my knowledge of those

1676
01:27:54,600 --> 01:27:58,360
Speaker 1: subjects at the time of publication. If you are having

1677
01:27:58,439 --> 01:28:02,400
Speaker 1: a medical problem, have a medical question, or having a

1678
01:28:02,439 --> 01:28:06,800
Speaker 1: medical emergency, please contact your physician or visit an urgent

1679
01:28:06,840 --> 01:28:08,959
Speaker 1: care center, emergency room.

1680
01:28:08,960 --> 01:28:09,720
Speaker 2: Or hospital.

1681
01:28:10,400 --> 01:28:16,120
Speaker 1: Please rate, review, and subscribe to Mother Knows Death on Apple, Spotify, YouTube,

1682
01:28:16,360 --> 01:28:24,320
Speaker 1: or anywhere you get podcasts. Thanks