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

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Speaker 2: Hi.

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Speaker 3: Everyone, welcome The Mother Knows Death. Let's get started with

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Speaker 3: the story of the week.

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Speaker 4: So we're starting off today's show with this weird phenomenon,

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Speaker 4: which is feeling like you have to poop in a bookstore.

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Speaker 2: So this is us.

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Speaker 4: This is not quite a foreign concept to our family.

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Speaker 4: We call it bright white syndrome. And it's not that

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Speaker 4: we coin this like twenty years ago. Dude. Yeah, so

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Speaker 4: we've been calling it bright white syndrome, and I've heard

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Speaker 4: it in the past called bright light syndrome. Specifically when

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Speaker 4: you're at a store like Target, Home Goods, et cetera,

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Speaker 4: you just feel this overwhelming need to go to the bathroom.

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Speaker 4: But this gas serentrologist has come out on Instagram to

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Speaker 4: talk about why this is relevant at bookstores, and there's

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Speaker 4: a couple of different theories. So one of them is

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Speaker 4: that the smell of fresh books may trigger something through

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Speaker 4: the how do you say this, old factory?

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Speaker 3: It's yeah, that is your cranial nerve that sends the

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Speaker 3: this that is responsible for your sense of smell old factory.

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Speaker 4: So it basically sends this signal to your bowels that

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Speaker 4: makes you want to poop. Another theory is that if

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Speaker 4: you tend to read while on the toilet, it may

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Speaker 4: trigger your brain to be familiar with that action and

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Speaker 4: may cause you to have to poop in the bookstore.

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Speaker 4: And then there's other ones like the stress of picking

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Speaker 4: out a book can trigger you to have to go

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Speaker 4: to the bathroom, or on the opposite end that it's

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Speaker 4: so relaxing that then your bowls relax and you feel

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Speaker 4: like you have to go to the bathroom.

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Speaker 2: Yeah.

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Speaker 3: I don't really think most of those theories are true,

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Speaker 3: because it's like this article is specifically written for people

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Speaker 3: that feel like they have to poop at a bookstore,

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Speaker 3: where we were just describing that it happens to us,

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Speaker 3: like every time we go to Target. It's especially Target

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Speaker 3: is the one, but I've read online people like TJ

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Speaker 3: Max and Marshall's is a big one too. Oh yeah,

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Speaker 3: And what happens is when we eat, So we eat

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Speaker 3: all day, right, and so our bows are constantly filled

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Speaker 3: with poop, but you're not always actually pooping, right. So,

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Speaker 3: something called the parasympathetic nervous system is what connects our

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Speaker 3: brain to our bells, and something has to tell the

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Speaker 3: bells to empty, right, So there's something that's triggering that

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Speaker 3: parasympathetic nervous system to say like, hey, it's time to

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Speaker 3: get rid of this. And I think that it's probably

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Speaker 3: I know, for us, if we're going to the store

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Speaker 3: and all, it's kind of like a retail therapy relaxing situation.

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Speaker 2: So it's probably just like, Oh.

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Speaker 3: I'm going to shop and spend money and I feel

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Speaker 3: good and I'm relaxed, and like, you know, what's your

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Speaker 3: favorite bathroom in public? I like ones, well, BUCkies, but

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Speaker 3: that does BUCkies doesn't have anything to do with shopping, right,

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Speaker 3: But I love BUCkies. For those of you who don't

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Speaker 3: know what that store is, it's this mega convenience store

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Speaker 3: that's on the side of highways. At least when we

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Speaker 3: drive to Florida, we see it.

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Speaker 4: It's mostly around in Texas, but they're starting to pop up.

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Speaker 4: There's one in Florida. There's like the biggest one ever

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Speaker 4: in Pigeon Forge, Tennessee, which is where our family goes.

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Speaker 2: So you get to the one in Florida, right.

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Speaker 3: But the reason that it's so great is because when

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Speaker 3: you go, there's probably twenty five or thirty bathroom stalls,

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Speaker 3: maybe more, maybe less, but around there. And they each

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Speaker 3: have individual doors that you can go in by yourself,

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Speaker 3: shut the door and lock it and nobody will bother you.

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Speaker 3: It's not some uncomfortable one that reminds me of like

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Speaker 3: a back in the day when we went to school

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Speaker 3: that actually the one that we used in California had

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Speaker 3: cracks so big in between the doors that they somebody

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Speaker 3: hung toilet paper from the little thing you put your

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Speaker 3: purse on to kind of block people because you could

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Speaker 3: really see in like it was that big of a gap.

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Speaker 3: And I was like, so we saw Lucia and I

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Speaker 3: saw the toilet paper hanging in every single stall, and

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Speaker 3: I'm like, okay, there's a reason for this, because this

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Speaker 3: is a weird place to just hang a long piece

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Speaker 3: of toilet paper. And yeah, So I I hate those kinds,

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Speaker 3: but if it's if it's like a nice bathroom, I'll go.

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Speaker 2: I don't care.

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Speaker 4: I personally really like the bathroom at nord Trum and

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Speaker 4: Cherry Home all.

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Speaker 3: I think it's a very nice bathroom, but it's still

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Speaker 3: got those weird close side by side stalls.

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Speaker 2: It does.

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Speaker 4: But I used to go to the Barnes and Noble

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Speaker 4: in Brittenhouse Square before it closed. That was my go

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Speaker 4: to bathroom when I was just walking around the city

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Speaker 4: because again, you're in a bookstore, it's very relaxing, and

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Speaker 4: there's just something about a Barnes and Noble bathroom that's

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Speaker 4: just a soothing experience.

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Speaker 3: And now we know why God we were in When

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Speaker 3: we were just in California, we visited this little area

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Speaker 3: of the city called Little Tokyo. It was so cool,

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Speaker 3: but we went in this one store to get bubble

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Speaker 3: tea and they didn't have a bathroom and Lucia had

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Speaker 3: to go to the bathroom. So the guy was like, oh,

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Speaker 3: go to Starbucks across the street. Well, we went, and

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Speaker 3: there was ten people in line, and then ten people

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Speaker 3: ended up getting in line behind us, so it must

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Speaker 3: have been the only toilet and they only had one stall,

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Speaker 3: and it was just it was terrible because if you

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Speaker 3: really had to poop or something like you you really

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Speaker 3: couldn't even do it comfortably because so many people were

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Speaker 3: waiting like that.

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Speaker 2: It was Starbucks.

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Speaker 4: Bathrooms are really hit or miss because they're either like

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Speaker 4: the cleanest bathroom you've ever been in or the dirtiest

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Speaker 4: bathroom you've ever been.

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Speaker 3: In Well, think about just the short I was probably

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Speaker 3: there maybe fifteen or twenty minutes, and and like twenty

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Speaker 3: people did whatever in there, like they couldn't even catch

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Speaker 3: up if they tried it.

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Speaker 2: Just I just think it was just so busy.

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Speaker 4: Yeah, when we were in Vegas, we went to the

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Speaker 4: gas station Terribles, which I've in my opinion is like

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Speaker 4: BUCkies but Area fifty one. Themes definitely different. But they

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Speaker 4: had a pretty good bathroom too. Some of these mega

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Speaker 4: gas stations definitely.

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Speaker 2: Have really good bathrooms if you're on road trips.

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Speaker 3: So yeah, I mean I went to so many different

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Speaker 3: ones since I drove across the country, and there were

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Speaker 3: someones I had to say to the girls like just

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Speaker 3: fucking pee and get it out like this, just don't

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Speaker 3: touch anything.

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Speaker 2: What can you do? You can't have a good one

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Speaker 2: everywhere you go. I remember, we.

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Speaker 4: Had this genius idea with other Maria, who's one of

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Speaker 4: our closest family friends, to make this app called eyepoop,

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Speaker 4: where you would like rate good public bathrooms. But apparently

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Speaker 4: it exists, but it's not that big of a platform,

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Speaker 4: and we're so pissed that it exists.

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Speaker 3: It are I know, right, Okay, let's get on to

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Speaker 3: celebrity news.

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Speaker 2: Okay.

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Speaker 4: So King Charles has come out that he's lost his

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Speaker 4: sense of taste since receiving his cancer treatment. So I

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Speaker 4: like this story because I think that it's giving us

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Speaker 4: a little bit of information as to what kind of

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Speaker 4: cancer he had, because he hasn't said anything about that, right,

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Speaker 4: and there's the assumption it's prostate cancer, but no.

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Speaker 3: But then they said it was and they said it

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Speaker 3: wasn't prostate cancer though, so which we we only could

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Speaker 3: believe what they tell us, right, But so when you

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Speaker 3: get cancer, tree meant sometimes when you get chemotherapy, which

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Speaker 3: can be for all different kinds of cancer treatments, it

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Speaker 3: could cause you to have a difference in taste for sure,

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Speaker 3: like most a lot of people that get it actually

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Speaker 3: report that they don't taste things the same way. But

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Speaker 3: it's more common to lose your taste if you're having

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Speaker 3: some kind of treatment to a head and neck cancer,

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Speaker 3: like a radiation, or if you have surgery that removes

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Speaker 3: some of your taste buds, because the actual act of

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Speaker 3: radiation can can damage your tissues than your ability to taste.

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Speaker 3: So now I'm kind of like, I wonder if he

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Speaker 3: has a head and neck cancer.

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Speaker 2: Yeah, that's definitely interesting.

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Speaker 4: I was gonna ask you if this is a common

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Speaker 4: side effect with all chemotherapies, but it's interesting to know

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Speaker 4: it's pretty isolated to that area. Yeah, I think that

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Speaker 4: it's just making me think that he had some kind

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Speaker 4: of radiation to his head and neck area.

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Speaker 2: Yeah, it's interesting.

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Speaker 4: I mean, I don't know, like, he's seventy five years old,

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Speaker 4: he's been going through this treatment. I saw also that

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Speaker 4: they're like making updates to his funeral plans and everything,

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Speaker 4: which I think that's pretty standard procedure in general for

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Speaker 4: them when they get up up there in age, you know.

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Speaker 4: But hopefully we'll see what more information comes out over

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Speaker 4: time about this. Yeah, or he'll die like his mother

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Speaker 4: did and they'll put that he died from old age.

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Speaker 2: My face. That's absolutely fous. Okay. Freak accidents.

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Speaker 4: Okay, So this punk band from Australia called Trophy Eyes

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Speaker 4: was playing a show in Buffalo and the lead singer

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Speaker 4: stage dove, which partially paralyzed the fan that he landed on.

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Speaker 4: So the twenty four year old fans neck was broken

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Speaker 4: as a result, and they suffered a quote catastrophic spinal

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Speaker 4: cord injury. The band did stop the show immediately, and

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Speaker 4: I believe that singer accompanied her to the hospital and

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Speaker 4: made sure she was okay, and they even set up

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Speaker 4: a goof on me page. But it is a scary situation.

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Speaker 3: Yeah, so just think about your your spinal cord or

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Speaker 3: your backbone is not just bones, but it's housing your

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Speaker 3: spinal cord, which is a for life, all of your

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Speaker 3: movement and just sending the chord is the transportation system

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Speaker 3: that sends signals from your brain to the rest of

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Speaker 3: your body, so you one percent need it for survival.

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Speaker 3: And she broke her neck when he fell on top

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Speaker 3: of her, which again new Fear never really I mean,

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Speaker 3: obviously that could happen, but didn't Teller Swift stage dive once.

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Speaker 2: Well. I have a personal story.

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Speaker 4: When I was in high school, I always was really

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Speaker 4: obsessed with music, but I couldn't really play anything, so

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Speaker 4: I resorted to taking pictures of shows, and I specifically

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Speaker 4: remember seeing The Wonder Years at Union Transfer when I

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Speaker 4: was sixteen, and somebody, not anybody from the band, but

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Speaker 4: a guy climbed up on the stage and staged Dove

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Speaker 4: and hit me in the head and I was more

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Speaker 4: concerned about my camera being messed up, and you freaked

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Speaker 4: out on me. So you were like, you're not going

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Speaker 4: to sleep, you might have a concussion. Stop standing so

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Speaker 4: close to the stage. I'm over this shit yelling.

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Speaker 2: So well.

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Speaker 3: Thank I mean, yeah, it's true, and I mean it's

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Speaker 3: like you could talk about all these things, but people

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Speaker 3: still have to live, and that's a traditional thing that's

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Speaker 3: done at shows. But I mean, I'm sure he felt

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Speaker 3: terrible for breaking her neck, And I guess the most

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Speaker 3: important thing is is if you ever witness someone get

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Speaker 3: an injury like this.

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Speaker 2: You don't move them.

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Speaker 3: You always say to keep their neck as stable as

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Speaker 3: possible because the spinal cords inside of the bones that

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Speaker 3: are now broken, and then the roots of the spinal

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Speaker 3: cord come out the nerves that go to the rest

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Speaker 3: of your body, and if any of those get damaged,

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Speaker 3: you can have something as small as like loss of

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Speaker 3: sensation to the hands or the fingertips, but you can

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Speaker 3: also become paralyzed and you could also die, so it's

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Speaker 3: a very serious injury.

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Speaker 4: Well, the venue also came out and said that they

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Speaker 4: have a strict no stage diving policy and there are

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Speaker 4: signs everywhere, but you know, I'm wondering if they had

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Speaker 4: an incident before, because that action is incredibly common at shows,

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Speaker 4: especially punk shows, hardcore shows, all of that. So I

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Speaker 4: just wonder if maybe the guy didn't see it and

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Speaker 4: he's just so used to doing it in his performance,

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Speaker 4: or he saw it and was like whatever, I do

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Speaker 4: it all the time. It's not that big of a deal.

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Speaker 4: But I doubt he's ever gonna do it again.

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Speaker 2: Yeah, it's just a terrible situation.

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Speaker 4: But a family friend said that quote. Her neck was

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Speaker 4: definitely broken, but as of now she has feeling in

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Speaker 4: her arms and could use her fingers and hands, So yeah.

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Speaker 2: That's great.

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Speaker 3: I mean, like I said, if they really stabilize a person,

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Speaker 3: a person could almost completely heal from something like that,

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Speaker 3: which is amazing. But yeah, it just especially the transportation

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Speaker 3: of the patient to the hospitals is really important.

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Speaker 2: It is scary though, all right.

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Speaker 4: So in our next story, last month, a thirty four

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Speaker 4: year old male collided with a seventy one year old

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Speaker 4: ski instructor on a slope at the Jackson Hole Mountain Resort.

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Speaker 4: So the instructor wasn't teaching at the time, but he

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Speaker 4: was skiing with another group of people when he was

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Speaker 4: struck and the resort said the instructor was wearing a helmet,

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Speaker 4: the younger man was not, and the younger man quote

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Speaker 4: failed to maneuver around this instructor. So basically they collided.

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Speaker 4: Both of them were sent to the hospital and then

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Speaker 4: the older man ended up dying from the collision. And

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Speaker 4: it's now been ruled a homicide, which is kind of

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Speaker 4: unusual in this ski accident like this.

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Speaker 2: Yeah, it is, it is unusual.

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Speaker 3: But if we just think about the manners of death,

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Speaker 3: and one of the manners of death being homicide, so

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Speaker 3: you have to choose a category natural accident, suicide, homicide undetermined.

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Speaker 2: Right if you talk.

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Speaker 3: About homicide, really it doesn't whenever we hear the word homicide,

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Speaker 3: we think of murder, right, Yeah, but really it just

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Speaker 3: means death at the hands of another. So if you

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Speaker 3: hit some one with your car, that could be considered homicide,

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Speaker 3: even if it was accidental. It's just usually if there's

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Speaker 3: a case where skiers collide, they would call it a

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Speaker 3: death as a result of an act accident. Sometimes they

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Speaker 3: changed the manner to homicide if the person was being

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Speaker 3: negligent like drunk or just blatantly not following the rules,

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Speaker 3: then they would cause it, they would change it to

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Speaker 3: be homicide rather than accident. Yeah, Like I would imagine

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Speaker 3: he's probably gonna get charged with manslaughter because as we know,

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Speaker 3: that's death due to negligence. So I don't even know

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Speaker 3: if if it would go that far, honestly, I just

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Speaker 3: think it's for category categorization purposes. But unless unless they

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Speaker 3: found because like, if you hit somebody with your car

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Speaker 3: purely by accident, you won't you won't go to jail

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Speaker 3: for that, you won't get you won't get charged with that.

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Speaker 3: But if you're drinking and driving, then it's a different story,

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Speaker 3: you know what I mean. So it's just like that

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Speaker 3: kind of thing. It's it's just a different mechanism but

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Speaker 3: the same it's basically the same thing.

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Speaker 4: Yeah, I mean, it's definitely interesting to see it categorized

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Speaker 4: as such. But your explanation's really good that we just

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Speaker 4: have to remember at the end of the day, it's

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Speaker 4: because it is what it is, you know. Yeah, all right,

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Speaker 4: So our next one is something so idiotic. So a

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Speaker 4: man died after seeking to quote hot pot in a

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Speaker 4: hot spring in Yellowstone National Park. So a hot spring

288
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Speaker 4: is a spring produced by heated groundwater onto the surface

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Speaker 4: of the Earth. It's usually heated by magma or circulation

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Speaker 4: through faults to hot rock deep in the Earth's crust.

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Speaker 2: So, according to.

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Speaker 4: This UNILAD article that we're reporting on, one of the

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Speaker 4: largest magma chambers in the world is located under yellowstone.

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Speaker 4: So this guy, he's twenty three years old, is going

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Speaker 4: around seeking.

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Speaker 2: To quote hot pot.

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Speaker 3: So he's sticking his that like a TikTok trend or

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Speaker 3: something stupid, or that's something people do.

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Speaker 2: I've never heard of this action before.

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Speaker 4: I think it's really stupid, and like I'm assuming it's

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Speaker 4: tied to, you know, the cooking style of hot pot,

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Speaker 4: which is basically you put food in and boil it

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Speaker 4: right in the pot of hot broth. So this guy's

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Speaker 4: going around looking to hot pot. He sticks his finger

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Speaker 4: in a spring to test the water, which the surface

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Speaker 4: of these springs is average around one hundred and ninety

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Speaker 4: nine degrees fahrenheit. So he sticks his finger in and

308
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Speaker 4: then ends up slipping and falling into the spring and dies.

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Speaker 4: All right, can I but one hundred and ninety nine

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Speaker 4: degree water is like very hot. If you boil water,

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Speaker 4: it's two hundred and twelve degrees, so you're essentially right.

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Speaker 4: It's sticking your finger into water right before it boils,

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Speaker 4: which would burn you. So I don't even know why

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Speaker 4: he would. You're saying it's average, like it would it

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Speaker 4: would hurt.

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Speaker 3: You, as it is, just that I don't understand saying

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Speaker 3: like the temperature of these things is at an average

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Speaker 3: of one hundred and ninety nine degrees or ninety three

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Speaker 3: degrees celsius. So basically, they find him floating in the

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Speaker 3: spring a couple hours later, and when rescuers come to

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Speaker 3: get him, there's a severe thunderstorm and they're not able

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Speaker 3: to follow through with the rest, so they had to

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Speaker 3: wait till later. So when they come back later, his

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Speaker 3: body's not there except his flip flops and his wallet

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00:16:07,720 --> 00:16:10,000
Speaker 3: are still floating in there. So they are under the

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Speaker 3: belief that he dissolved in the hot spring.

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Speaker 2: I don't know about that, honestly.

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Speaker 3: Because isn't there a possibility an animal could have drug

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Speaker 3: him out or something? Well, I mean, what animal is

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Speaker 3: going in that water though?

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Speaker 2: I mean, think about it.

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Speaker 3: If it's hot for humans, it's hot for any for

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Speaker 3: any animal like that, unless it was some kind of

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Speaker 3: a weird creature that lived in there, that could live

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Speaker 3: in those kinds of temperatures.

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

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00:16:37,680 --> 00:16:40,560
Speaker 3: This is as far as I know. This is pretty

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00:16:40,600 --> 00:16:43,560
Speaker 3: normal water. There's some bacteria in it that gives it,

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Speaker 3: I think, when you're near it, it gives it a certain

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Speaker 3: kind of like a sulfury kind of smell, But there's

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Speaker 3: no like acid in it that would completely disintegrate bones.

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Speaker 2: So think about this. Just think about this. You have

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Speaker 2: a big pot.

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Speaker 3: Of boiling water on your on your stove. I do

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Speaker 3: this when I make mats of ball soup. Actually right,

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Speaker 3: I get a huge pot and I put a whole

347
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Speaker 3: chicken in there, and I boil it like all day long,

348
00:17:09,200 --> 00:17:11,840
Speaker 3: so the it turns into a broth mixed with some

349
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Speaker 3: vegetables and stuff. When I clear it out, the meat

350
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Speaker 3: falls right off of the bone super easily. But the

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Speaker 3: bones are are there. They're there, and that's a whole day.

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Speaker 3: So this isn't really much longer than he was in

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Speaker 3: that kind of water, unless the temperatures below are just

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Speaker 3: so so hot.

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Speaker 2: I don't know.

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Speaker 3: To me, it just it's just a little weird that

357
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Speaker 3: I could totally believe that all of his soft tissue

358
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Speaker 3: fell off for sure, but his bones for sure would

359
00:17:41,960 --> 00:17:46,000
Speaker 3: would still would still be intact, I think, And you

360
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Speaker 3: know what, actually on top of that, I think because

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Speaker 3: the bones are so heavy, they might they might sink

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Speaker 3: down to the bottom if all of the soft tissue

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Speaker 3: came off, because when you usually find a person who

364
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Speaker 3: dies in a body of water, they float because they

365
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Speaker 3: have so much gas and bacteria inside their body. It

366
00:18:03,359 --> 00:18:06,359
Speaker 3: keeps their body more buoyant and not sinking to the bottom,

367
00:18:06,400 --> 00:18:09,720
Speaker 3: you know. So it's I guess it's possible if all

368
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Speaker 3: of the meat came off of the bones, then the

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Speaker 3: bones kind of fell to the bottom and what was

370
00:18:13,760 --> 00:18:16,320
Speaker 3: left was like his clothes and stuff, but the flip

371
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Speaker 3: flops and while it survived. Yeah, but I wouldn't I

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Speaker 3: wouldn't say that he dissolved that. I just don't think

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Speaker 3: that that's the bones in one day. I just I

374
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Speaker 3: don't think that's possible.

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Speaker 4: Yeah, it's definitely interesting that they came to that conclude.

376
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Speaker 3: That's like some shit you would see like in an

377
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Speaker 3: Indiana Chonan's movie.

378
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Speaker 4: Also, like it's not realistic to your point, though you're

379
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Speaker 4: saying the bones might have sunk to the bottom of

380
00:18:38,440 --> 00:18:41,760
Speaker 4: this spring, right, how are they gonna possibly check for

381
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Speaker 4: that with their temperature?

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00:18:43,000 --> 00:18:43,719
Speaker 2: They're probably not.

383
00:18:43,840 --> 00:18:47,119
Speaker 3: They're probably just like your beat, Like I don't know, Yeah,

384
00:18:47,720 --> 00:18:50,080
Speaker 3: unless they have some kind of skimming device that they could.

385
00:18:50,320 --> 00:18:52,600
Speaker 3: I don't even know how deep those things are. I mean,

386
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Speaker 3: if it's only five foot deep and they have some

387
00:18:54,480 --> 00:18:58,960
Speaker 3: kind of like metal like a you know that the

388
00:18:59,040 --> 00:19:01,240
Speaker 3: thing that you would use to pick up stuff that

389
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Speaker 3: you felt that fell in the bottom of boiling water

390
00:19:03,720 --> 00:19:05,960
Speaker 3: or something like the skimmer. I don't Why can't I

391
00:19:05,960 --> 00:19:07,280
Speaker 3: think of the name of the tool right now in

392
00:19:07,359 --> 00:19:09,760
Speaker 3: this strain or it's like a strainer. Yeah, Like if

393
00:19:09,760 --> 00:19:12,440
Speaker 3: they have something like that, I have no idea were

394
00:19:13,080 --> 00:19:15,920
Speaker 3: you know, when they look on for in bodies of water,

395
00:19:16,000 --> 00:19:18,520
Speaker 3: for bodies, they put those like nets down there. Yeah,

396
00:19:18,560 --> 00:19:21,240
Speaker 3: like maybe they have ones that are that could withstand

397
00:19:21,280 --> 00:19:23,600
Speaker 3: heat like that and look for it. But it's not

398
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Speaker 3: like they're going to send divers down there or anything.

399
00:19:25,760 --> 00:19:29,800
Speaker 4: Yeah, I don't know. It's just kind of like totally preventable.

400
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Speaker 2: Yeah.

401
00:19:31,920 --> 00:19:35,080
Speaker 3: I mean he died of hyperthomia obviously, because your your

402
00:19:35,080 --> 00:19:38,640
Speaker 3: body temperature has to stay at ninety eight point six

403
00:19:38,720 --> 00:19:41,639
Speaker 3: degrees most of the time in order for your organs

404
00:19:41,640 --> 00:19:45,120
Speaker 3: to function function properly, So being submersed in at least

405
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Speaker 3: one hundred and ninety nine degree water for even a

406
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Speaker 3: very short period of time would would.

407
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Speaker 2: Just kill you, you know.

408
00:19:53,440 --> 00:19:56,600
Speaker 4: Yeah, all right, So our next story is really sad

409
00:19:56,640 --> 00:19:59,879
Speaker 4: in Arizona at bounce house when airborne when struck with

410
00:20:00,119 --> 00:20:04,720
Speaker 4: a really strong gust of wind which injured several children.

411
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Speaker 4: But a two year old boy had died and another

412
00:20:06,840 --> 00:20:08,960
Speaker 4: child had injuries that were severe that he had to

413
00:20:08,960 --> 00:20:11,720
Speaker 4: go to the hospital, but they weren't considered life threatening

414
00:20:11,760 --> 00:20:12,600
Speaker 4: at the end of the day.

415
00:20:13,520 --> 00:20:16,160
Speaker 3: This is a fireman's kid too. I felt so terrible.

416
00:20:16,280 --> 00:20:19,119
Speaker 4: Yeah, and the parents are expecting another baby, I guess

417
00:20:19,320 --> 00:20:21,679
Speaker 4: any day now, because they said in middle of the

418
00:20:21,760 --> 00:20:22,359
Speaker 4: end of May.

419
00:20:22,480 --> 00:20:23,320
Speaker 2: So it's you.

420
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Speaker 4: Lose your child right before you're about to welcome another

421
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Speaker 4: one into the world. It's such an absolute horrific tragedy.

422
00:20:30,200 --> 00:20:30,560
Speaker 1: I could have.

423
00:20:30,640 --> 00:20:33,359
Speaker 3: Sworn when we rented a bounce house one time for

424
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Speaker 3: one of the kids' parties, I could swear that when

425
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Speaker 3: they dropped it off, they like bolted it into the

426
00:20:38,640 --> 00:20:42,080
Speaker 3: ground with these steaks and stuff, like one of those

427
00:20:42,080 --> 00:20:43,359
Speaker 3: really heavy duty ones.

428
00:20:43,720 --> 00:20:47,159
Speaker 4: I mean they yeah, there's probably some level of securing

429
00:20:47,240 --> 00:20:50,200
Speaker 4: they need to do to these, but they sell them

430
00:20:50,200 --> 00:20:52,679
Speaker 4: on Amazon now, so it might have been just like

431
00:20:52,680 --> 00:20:56,280
Speaker 4: a crappy one, yeah, or you know, winds can be

432
00:20:56,320 --> 00:20:58,800
Speaker 4: super strong, so maybe it just wasn't equipped for that.

433
00:20:58,880 --> 00:21:01,040
Speaker 4: I'm sure there's warnings that if it's a windy day

434
00:21:01,119 --> 00:21:04,639
Speaker 4: or something that they can't even you're not even supposed

435
00:21:04,640 --> 00:21:07,280
Speaker 4: to have them out or whatever. But it's just really

436
00:21:07,320 --> 00:21:09,600
Speaker 4: sad that this happened because I'm sure it was just

437
00:21:09,840 --> 00:21:12,720
Speaker 4: somebody being innocently overlooking something.

438
00:21:12,760 --> 00:21:15,760
Speaker 2: You know, they didn't intend to do it. Yeah, I mean,

439
00:21:15,880 --> 00:21:17,639
Speaker 2: it's just terrible, all right.

440
00:21:17,720 --> 00:21:20,679
Speaker 4: So last in freak accidents is this woman was on

441
00:21:20,720 --> 00:21:23,800
Speaker 4: a beach in Mexico when a bull suddenly appeared and

442
00:21:23,840 --> 00:21:28,000
Speaker 4: took interest in her belongings. According to officials, it's not

443
00:21:28,240 --> 00:21:32,480
Speaker 4: unusual that livestock appears on this beach, but normally it's donkeys,

444
00:21:32,560 --> 00:21:36,120
Speaker 4: not bull, so that was kind of unusual. So in

445
00:21:36,119 --> 00:21:39,560
Speaker 4: this video bystander took, you see people yelling at this

446
00:21:39,720 --> 00:21:42,320
Speaker 4: lady because you know, this bull is on the beach

447
00:21:42,800 --> 00:21:46,119
Speaker 4: and it's taking an interest in her bags and towel

448
00:21:46,119 --> 00:21:48,359
Speaker 4: and stuff, and she just will not walk away.

449
00:21:48,400 --> 00:21:48,720
Speaker 2: From it.

450
00:21:48,800 --> 00:21:50,919
Speaker 4: She's like trying to get her bag and her stuff,

451
00:21:51,320 --> 00:21:53,840
Speaker 4: and everybody's yelling at her just step away and get it.

452
00:21:53,920 --> 00:21:56,920
Speaker 2: Later. They're actually calling her a fucking moron. Yeah, they're

453
00:21:56,920 --> 00:21:59,680
Speaker 2: the video. They're like, yeah, you're a fucking Mari.

454
00:22:00,119 --> 00:22:03,120
Speaker 3: Get away, Like, because even if you're not from there,

455
00:22:03,560 --> 00:22:05,919
Speaker 3: if you're not from anywhere that has animals that go

456
00:22:06,000 --> 00:22:07,280
Speaker 3: on the beach, Like, what do we have at the

457
00:22:07,280 --> 00:22:09,719
Speaker 3: most seagulls go on our beach. I know that, Like,

458
00:22:09,760 --> 00:22:13,240
Speaker 3: if some big, huge animal is near me, I'm getting away.

459
00:22:13,359 --> 00:22:15,199
Speaker 3: You don't need your beach bag. You could always go

460
00:22:15,240 --> 00:22:15,760
Speaker 3: back and get it.

461
00:22:15,840 --> 00:22:16,840
Speaker 2: Yeah, So people are.

462
00:22:16,760 --> 00:22:19,400
Speaker 4: Literally yelling at her, you're a fucking moron, get away

463
00:22:19,440 --> 00:22:21,879
Speaker 4: from it, and she just keeps trying to grab her bag.

464
00:22:22,280 --> 00:22:24,920
Speaker 4: So it pisses the bowl off, and then he starts

465
00:22:25,480 --> 00:22:29,400
Speaker 4: chasing her. Yeah, and he starts ramming into her for

466
00:22:29,400 --> 00:22:31,639
Speaker 4: twenty whole seconds, which is a really long time if

467
00:22:31,680 --> 00:22:34,960
Speaker 4: you're getting attacked. Of course, everybody around is like, I

468
00:22:34,960 --> 00:22:36,919
Speaker 4: don't even know what to do because I'm not putting

469
00:22:36,920 --> 00:22:39,480
Speaker 4: myself at risk saving this lady because she just was

470
00:22:39,520 --> 00:22:40,200
Speaker 4: being dumb.

471
00:22:40,720 --> 00:22:40,960
Speaker 2: Right.

472
00:22:41,800 --> 00:22:44,639
Speaker 3: It's weird because when I first saw the video, on

473
00:22:44,720 --> 00:22:48,119
Speaker 3: social media this morning, I think, and you know, when

474
00:22:48,119 --> 00:22:50,320
Speaker 3: I'm laying in bed looking at videos, I have the

475
00:22:50,440 --> 00:22:53,479
Speaker 3: volume off because I have respect for my partner. I'm like,

476
00:22:54,280 --> 00:22:58,560
Speaker 3: like opposite everyone else around thooth, our husbands, your mother

477
00:22:58,800 --> 00:23:03,280
Speaker 3: and my mother. Yes, but yeah, So I was watching it,

478
00:23:03,440 --> 00:23:05,679
Speaker 3: and so I didn't have the volume on it, and

479
00:23:05,720 --> 00:23:07,840
Speaker 3: I was I was like, oh my god, why is

480
00:23:07,880 --> 00:23:10,800
Speaker 3: no one helping her? That's what I kept thinking. But

481
00:23:10,880 --> 00:23:13,520
Speaker 3: then when I turned the volume on, I was like, Okay,

482
00:23:14,040 --> 00:23:16,959
Speaker 3: people were straight up like warning her and warning her

483
00:23:17,000 --> 00:23:19,720
Speaker 3: and warning her, and she just ignored it. And that's

484
00:23:19,800 --> 00:23:22,080
Speaker 3: now why I understand that people weren't helping her.

485
00:23:22,160 --> 00:23:26,760
Speaker 4: There is this culture of like people should not be

486
00:23:26,960 --> 00:23:30,960
Speaker 4: videoing entire situations and be stepping into help, but this

487
00:23:31,119 --> 00:23:34,280
Speaker 4: is actually one of them where like, I don't necessarily

488
00:23:34,280 --> 00:23:38,080
Speaker 4: agree somebody videoed the entire interaction, but what was somebody

489
00:23:38,119 --> 00:23:40,480
Speaker 4: gonna do. They kept telling her to leave and she wouldn't,

490
00:23:40,480 --> 00:23:43,880
Speaker 4: and then she got attacked and finally somebody did take

491
00:23:43,880 --> 00:23:45,879
Speaker 4: a bucket of water and was like splashing it to

492
00:23:45,960 --> 00:23:48,520
Speaker 4: distract the bull so she could get away. But I mean,

493
00:23:48,560 --> 00:23:50,120
Speaker 4: she was, she was fucked up.

494
00:23:50,720 --> 00:23:51,600
Speaker 2: I wouldn't even do that.

495
00:23:51,640 --> 00:23:53,080
Speaker 3: I would have got in my car and shut the

496
00:23:53,119 --> 00:23:55,200
Speaker 3: door and been like I don't want that. Think onme

497
00:23:55,200 --> 00:23:56,680
Speaker 3: in here, maybe like honk the horn.

498
00:23:56,720 --> 00:23:58,160
Speaker 2: I want to be in the car.

499
00:23:58,200 --> 00:23:59,960
Speaker 3: What if it rammed the car and knocked it up,

500
00:24:00,400 --> 00:24:02,000
Speaker 3: like you just don't I don't.

501
00:24:01,760 --> 00:24:03,360
Speaker 2: Know if it could knock over a car.

502
00:24:03,440 --> 00:24:07,360
Speaker 3: They're pretty strong, yeah, I know. I mean I wouldn't

503
00:24:07,359 --> 00:24:09,840
Speaker 3: want to be in its white that lady. I agree

504
00:24:09,840 --> 00:24:12,320
Speaker 3: that she is a fucking moron for sure, but I

505
00:24:12,440 --> 00:24:15,760
Speaker 3: really want to know what happened because they didn't say

506
00:24:15,960 --> 00:24:18,159
Speaker 3: like it's like, oh, her injuries are unknown. I mean,

507
00:24:18,200 --> 00:24:20,000
Speaker 3: she looked like she got beat up a little bit there.

508
00:24:20,040 --> 00:24:21,000
Speaker 3: I don't think she's dead.

509
00:24:21,040 --> 00:24:23,920
Speaker 4: But if she was trying to run away from it

510
00:24:23,960 --> 00:24:26,800
Speaker 4: and it like then came after her, I'd have a

511
00:24:26,840 --> 00:24:29,800
Speaker 4: little more sympathy. But the fact that all these people

512
00:24:29,800 --> 00:24:32,280
Speaker 4: are screaming, please get away from it. It's going to

513
00:24:32,320 --> 00:24:35,080
Speaker 4: hurt you, and she's just like fuck you, I'm I

514
00:24:35,200 --> 00:24:37,440
Speaker 4: want my bag, And then you get a tell maybe

515
00:24:37,440 --> 00:24:39,399
Speaker 4: her phone was in the bag and she really needed

516
00:24:39,400 --> 00:24:41,480
Speaker 4: it or something. You don't need anything when you're in

517
00:24:41,600 --> 00:24:44,879
Speaker 4: dangerous way, like save your life instead of being like

518
00:24:44,960 --> 00:24:46,920
Speaker 4: everybody else said a fucking moron.

519
00:24:47,440 --> 00:24:49,560
Speaker 3: But we do we do talk about this in the

520
00:24:49,600 --> 00:24:52,800
Speaker 3: gross room a lot, this culture of because we get

521
00:24:52,840 --> 00:24:54,920
Speaker 3: so many videos sent to us all the time of

522
00:24:55,000 --> 00:24:58,119
Speaker 3: this culture of just like people recording terrible shit and

523
00:24:58,200 --> 00:25:03,280
Speaker 3: nobody doing anything to help people. A lot of times,

524
00:25:03,320 --> 00:25:06,560
Speaker 3: it's like it'll be a motorcycle accident where a person's

525
00:25:06,640 --> 00:25:09,359
Speaker 3: leg gets amputated and they're bleeding out and there's like

526
00:25:09,440 --> 00:25:12,280
Speaker 3: fifty people standing around them with a with a phone

527
00:25:12,800 --> 00:25:15,920
Speaker 3: recording it, when in that case, like you could actually

528
00:25:15,920 --> 00:25:19,600
Speaker 3: help that person by maybe tourniquet above putting a tourniquet

529
00:25:19,640 --> 00:25:20,200
Speaker 3: above their.

530
00:25:20,280 --> 00:25:22,280
Speaker 2: But why did injury you could go viral.

531
00:25:22,960 --> 00:25:25,880
Speaker 3: Well that's that's the problem. Yeah, and we do talk

532
00:25:25,880 --> 00:25:27,399
Speaker 3: about that a lot in the grosser room because we

533
00:25:27,440 --> 00:25:29,680
Speaker 3: see it all the time. It's and it's getting worse

534
00:25:29,720 --> 00:25:31,280
Speaker 3: and worse and worse, honestly.

535
00:25:31,000 --> 00:25:34,480
Speaker 4: Oh yeah, absolutely, it's getting worse. I Mean, when you

536
00:25:34,520 --> 00:25:36,959
Speaker 4: see some of the videos from the perspective of the

537
00:25:37,000 --> 00:25:40,480
Speaker 4: person taking it, you're just like, you seriously are standing

538
00:25:40,480 --> 00:25:42,840
Speaker 4: there doing nothing to help and just taking this video.

539
00:25:42,920 --> 00:25:44,679
Speaker 3: I just I just got one today that I'm going

540
00:25:44,720 --> 00:25:47,800
Speaker 3: to post in the gross room. Leader of one of

541
00:25:47,800 --> 00:25:51,000
Speaker 3: the grocery members send it in and it's two men

542
00:25:51,080 --> 00:25:53,680
Speaker 3: who are fighting each other in the street with machetes,

543
00:25:54,040 --> 00:25:56,800
Speaker 3: like literally having a sword fight with these giant knives,

544
00:25:57,320 --> 00:26:00,000
Speaker 3: and the guy and someone's recording it the whole time,

545
00:26:00,160 --> 00:26:02,359
Speaker 3: like nobody's trying to step in and get this to

546
00:26:02,400 --> 00:26:04,960
Speaker 3: try to stop. And the guy cuts off the other

547
00:26:05,000 --> 00:26:09,159
Speaker 3: guy's hand completely, his whole entire hand amputated, and the

548
00:26:09,200 --> 00:26:11,400
Speaker 3: guy kind of walks up and picks up his hand

549
00:26:11,440 --> 00:26:14,520
Speaker 3: and walks away like and I'm like, you could just

550
00:26:14,640 --> 00:26:17,359
Speaker 3: keep a straight camera, straight phone like this when something

551
00:26:17,400 --> 00:26:19,640
Speaker 3: like this is going on, and want you pass out

552
00:26:19,640 --> 00:26:32,760
Speaker 3: if I witness speaking of the grocerroom or you guys members. Yet,

553
00:26:33,080 --> 00:26:36,679
Speaker 3: the grosser room is awesome. We talk about stories like

554
00:26:36,720 --> 00:26:39,240
Speaker 3: this all the time, but we have the real pictures

555
00:26:39,320 --> 00:26:41,320
Speaker 3: videos that go along with it, and we have great

556
00:26:41,359 --> 00:26:44,760
Speaker 3: discussion with the members as far as their personal experiences

557
00:26:44,840 --> 00:26:47,040
Speaker 3: and a lot of people that work in the medical

558
00:26:47,040 --> 00:26:49,680
Speaker 3: field and people just in the grosser room. The members

559
00:26:49,720 --> 00:26:53,040
Speaker 3: just have the craziest stories to add in, which sometimes

560
00:26:53,080 --> 00:26:57,520
Speaker 3: are even more outrageous than the cases that I'm presenting themselves.

561
00:26:57,800 --> 00:27:00,679
Speaker 4: Yeah, the comment section sometimes is more under dating than

562
00:27:00,760 --> 00:27:02,000
Speaker 4: the post itself, so.

563
00:27:02,080 --> 00:27:02,760
Speaker 2: Oh it is.

564
00:27:03,040 --> 00:27:04,880
Speaker 3: I read them and I'm like, oh my god, this

565
00:27:04,920 --> 00:27:07,920
Speaker 3: is nuts that I kind of know somebody that went

566
00:27:07,960 --> 00:27:11,320
Speaker 3: through something like this, or just these stories that people

567
00:27:11,359 --> 00:27:12,560
Speaker 3: tell her are amazing.

568
00:27:12,800 --> 00:27:14,280
Speaker 2: But yeah, we do.

569
00:27:14,520 --> 00:27:17,320
Speaker 3: Every week we do a celebrity death dissection or a

570
00:27:17,400 --> 00:27:21,639
Speaker 3: high profile death dissection, which is basically like someone that

571
00:27:21,920 --> 00:27:26,720
Speaker 3: is famous now from having being murdered or almost murdered,

572
00:27:27,560 --> 00:27:30,040
Speaker 3: but now they're famous because of that, they weren't prior

573
00:27:30,119 --> 00:27:31,439
Speaker 3: to their crime.

574
00:27:31,920 --> 00:27:34,359
Speaker 2: But we cover these in depth. Every week.

575
00:27:34,400 --> 00:27:38,160
Speaker 3: We write these big articles about last week, my mom

576
00:27:38,359 --> 00:27:41,040
Speaker 3: was covering for me while I was away and she

577
00:27:41,280 --> 00:27:46,320
Speaker 3: covered HH Holmes and Gary Heidnick from Philadelphia, which that

578
00:27:46,560 --> 00:27:49,439
Speaker 3: I that case, the Gary Heidnick one especially is so

579
00:27:49,600 --> 00:27:52,439
Speaker 3: crazy that that happened within twenty minutes from our house.

580
00:27:52,600 --> 00:27:53,560
Speaker 2: Yeah.

581
00:27:53,960 --> 00:27:57,840
Speaker 3: So we write these in depth death dissections all the

582
00:27:57,840 --> 00:28:01,040
Speaker 3: way from who this person was before this happened, what

583
00:28:01,119 --> 00:28:03,240
Speaker 3: crimes did they commit. We show pictures of the crime

584
00:28:03,280 --> 00:28:06,800
Speaker 3: scenes and things like that, so it's really awesome.

585
00:28:06,920 --> 00:28:08,080
Speaker 2: And the rest of the.

586
00:28:08,080 --> 00:28:10,600
Speaker 3: Days we also have posts videos like the one I

587
00:28:10,640 --> 00:28:14,600
Speaker 3: told you I'm uploading later and it's just awesome and

588
00:28:14,680 --> 00:28:17,480
Speaker 3: you can join now for five ninety nine a month.

589
00:28:17,560 --> 00:28:17,840
Speaker 2: That's it.

590
00:28:17,880 --> 00:28:19,399
Speaker 3: So you could try it for the first month and

591
00:28:20,000 --> 00:28:23,320
Speaker 3: you'll definitely want to stay because we have such a

592
00:28:23,320 --> 00:28:26,200
Speaker 3: great time and it's awesome, and it's it's a nice

593
00:28:26,240 --> 00:28:29,359
Speaker 3: distraction from social media because everyone in there is so

594
00:28:29,440 --> 00:28:31,440
Speaker 3: cool and there's no trolls that are just being mean

595
00:28:31,480 --> 00:28:34,000
Speaker 3: to each other. It's just what social media used to be,

596
00:28:34,040 --> 00:28:35,760
Speaker 3: like good discussion and learning.

597
00:28:35,760 --> 00:28:36,520
Speaker 2: It's really awesome.

598
00:28:36,680 --> 00:28:39,200
Speaker 4: Yeah, and we have so sometimes we do some more

599
00:28:39,240 --> 00:28:42,280
Speaker 4: controversial cases like the death of Jeffrey Epstein or the

600
00:28:42,320 --> 00:28:45,880
Speaker 4: Titanic submersible, and we break down every single element and

601
00:28:45,960 --> 00:28:49,360
Speaker 4: sometimes you know, your medical opinion doesn't match what the

602
00:28:49,400 --> 00:28:52,000
Speaker 4: press is saying, and it's just really awesome to engage

603
00:28:52,000 --> 00:28:55,640
Speaker 4: in conversation with you and other medical professionals to kind

604
00:28:55,640 --> 00:28:58,160
Speaker 4: of see what your thoughts are from firsthand experience. So

605
00:28:58,640 --> 00:29:01,640
Speaker 4: those are my favorite articles to read and definitely research.

606
00:29:01,720 --> 00:29:05,000
Speaker 4: So you guys should check it out. Is it thegrossroom

607
00:29:05,160 --> 00:29:11,239
Speaker 4: dot com for more info? All right, let's get on

608
00:29:11,280 --> 00:29:13,880
Speaker 4: the violent crime. We only have one case this week,

609
00:29:14,240 --> 00:29:16,560
Speaker 4: which we like when there's not a lot of cases

610
00:29:16,560 --> 00:29:19,200
Speaker 4: in this category because they tend to be very deep,

611
00:29:19,320 --> 00:29:22,360
Speaker 4: dark and heavy, which this one definitely is So a

612
00:29:22,440 --> 00:29:24,800
Speaker 4: ten year old girl at her mother went missing twenty

613
00:29:24,880 --> 00:29:27,719
Speaker 4: four years ago in August of two thousand, with no

614
00:29:27,840 --> 00:29:30,600
Speaker 4: answers for all of this time. So they were living

615
00:29:30,640 --> 00:29:31,400
Speaker 4: with this man.

616
00:29:31,360 --> 00:29:31,960
Speaker 2: Larry Webb.

617
00:29:32,040 --> 00:29:34,960
Speaker 4: I don't know if you got any clarification of their relationship.

618
00:29:35,000 --> 00:29:37,560
Speaker 4: It didn't seem like the mother and him were dating

619
00:29:37,640 --> 00:29:39,320
Speaker 4: or anything. They were just roommates.

620
00:29:40,800 --> 00:29:44,400
Speaker 3: Yeah, I don't really know, but there was something about money.

621
00:29:44,720 --> 00:29:44,960
Speaker 2: Yeah.

622
00:29:45,000 --> 00:29:48,440
Speaker 4: So, a couple weeks ago, on his deathbed, Larry admitted

623
00:29:48,440 --> 00:29:52,000
Speaker 4: to shooting and killing both of them. So after he died,

624
00:29:52,160 --> 00:29:55,160
Speaker 4: police were finally able to solve this case and find

625
00:29:55,280 --> 00:29:58,240
Speaker 4: the remains of the mother and her daughter. He had

626
00:29:58,280 --> 00:30:02,280
Speaker 4: said that he sho because he had all this money

627
00:30:02,280 --> 00:30:04,440
Speaker 4: in the house and that he believed the mother was

628
00:30:04,480 --> 00:30:06,960
Speaker 4: stealing it from him, so he shot her in the

629
00:30:06,960 --> 00:30:09,440
Speaker 4: middle of an argument relating to stealing the money.

630
00:30:11,080 --> 00:30:13,440
Speaker 3: And yeah, and then he killed them and then he

631
00:30:13,560 --> 00:30:16,560
Speaker 3: buried He said that they stayed in their abasement for

632
00:30:17,360 --> 00:30:20,120
Speaker 3: two days and then buried them in a shallow grave

633
00:30:20,160 --> 00:30:24,160
Speaker 3: in his backyard. Mike, I have a lot of questions

634
00:30:24,200 --> 00:30:29,040
Speaker 3: about this, because you know, they're asking investigators like, well,

635
00:30:29,560 --> 00:30:32,160
Speaker 3: was this guy looked into before or what and they're

636
00:30:32,200 --> 00:30:34,360
Speaker 3: just like, well, this is an ongoing investigation.

637
00:30:34,760 --> 00:30:36,560
Speaker 2: No, he was, they said, I don't know.

638
00:30:36,520 --> 00:30:40,560
Speaker 3: If you watch the video, because the video is terribly upsetting. Yeah,

639
00:30:40,560 --> 00:30:45,520
Speaker 3: because it shows the little girl's father who hasn't he's

640
00:30:45,560 --> 00:30:48,040
Speaker 3: an old man now, but he hasn't given up hope,

641
00:30:48,080 --> 00:30:51,120
Speaker 3: and he also hasn't given up fighting to find out

642
00:30:51,160 --> 00:30:53,840
Speaker 3: what happened to his daughter this whole time. And that's

643
00:30:53,920 --> 00:30:56,520
Speaker 3: kind of his message in the video, like you might

644
00:30:56,560 --> 00:30:58,880
Speaker 3: sound like a crazy person, but just keep pushing and

645
00:30:58,960 --> 00:31:02,080
Speaker 3: keep pushing and keep pushing. And now he finally has

646
00:31:02,120 --> 00:31:04,960
Speaker 3: her remains, and the saddest part is that the only

647
00:31:05,000 --> 00:31:06,880
Speaker 3: thing that he has from her is like a breath

648
00:31:06,880 --> 00:31:08,560
Speaker 3: that she had in her hair when she died.

649
00:31:10,120 --> 00:31:11,600
Speaker 2: But when you watch the video.

650
00:31:11,440 --> 00:31:14,600
Speaker 3: They say that there was a time that they found

651
00:31:14,760 --> 00:31:16,280
Speaker 3: a bullet embedded in.

652
00:31:16,240 --> 00:31:18,920
Speaker 4: It, but that wasn't until twenty twenty. So why did

653
00:31:18,960 --> 00:31:20,480
Speaker 4: it take twenty years?

654
00:31:20,920 --> 00:31:21,640
Speaker 2: I even't know.

655
00:31:22,120 --> 00:31:26,200
Speaker 4: So basically, this case happened, and the police department has

656
00:31:26,240 --> 00:31:29,200
Speaker 4: come forward saying that they believe mistakes were made in

657
00:31:29,240 --> 00:31:31,720
Speaker 4: the initial investigation, which like no shit.

658
00:31:32,640 --> 00:31:34,080
Speaker 2: So then new.

659
00:31:33,960 --> 00:31:36,600
Speaker 4: Leads came forward in twenty twenty where they discovered a

660
00:31:36,640 --> 00:31:39,080
Speaker 4: bullet with one of the victim's DNA on it, and

661
00:31:39,120 --> 00:31:42,920
Speaker 4: then the guy, Larry wasn't even indicted until twenty twenty three.

662
00:31:43,200 --> 00:31:45,440
Speaker 4: So I'm still kind of like, why did it take

663
00:31:45,520 --> 00:31:48,760
Speaker 4: three years between finding this crucial piece of evidence with

664
00:31:49,080 --> 00:31:51,840
Speaker 4: obviously one of the number one suspects, the person they

665
00:31:51,880 --> 00:31:54,960
Speaker 4: lived with, It just seems And the fact that the

666
00:31:55,000 --> 00:31:58,920
Speaker 4: bodies were in a shallow grave I mean on property, Yeah,

667
00:31:59,000 --> 00:32:01,080
Speaker 4: but I don't want to because I'm like, maybe the

668
00:32:01,120 --> 00:32:04,240
Speaker 4: property was thirty acres big, it's not you're thinking of

669
00:32:04,280 --> 00:32:07,800
Speaker 4: like our backyard. I think a quarter It looked like

670
00:32:07,840 --> 00:32:10,480
Speaker 4: it was the size of our properties, like a straight

671
00:32:10,560 --> 00:32:11,840
Speaker 4: up driveway a house.

672
00:32:11,560 --> 00:32:12,680
Speaker 2: In a very little yard.

673
00:32:13,720 --> 00:32:16,400
Speaker 3: I mean, the story sucks, but it has it has

674
00:32:16,440 --> 00:32:18,800
Speaker 3: a good ending because I mean, if you think about

675
00:32:18,880 --> 00:32:21,120
Speaker 3: losing a child, it's just the absolute worst thing in

676
00:32:21,160 --> 00:32:23,680
Speaker 3: the world, and then imagine not having any kind of

677
00:32:24,120 --> 00:32:27,440
Speaker 3: closure as to like, because when you have the body,

678
00:32:27,560 --> 00:32:31,680
Speaker 3: it's you could kind of mourn and say this definitely happened,

679
00:32:31,800 --> 00:32:33,760
Speaker 3: But there has to be a part of you that

680
00:32:33,920 --> 00:32:37,640
Speaker 3: just always thinks that maybe they got kidnapped and maybe

681
00:32:37,680 --> 00:32:40,480
Speaker 3: they ran away, or there's always a small part of

682
00:32:40,520 --> 00:32:42,600
Speaker 3: you that has hoped that the person is still alive

683
00:32:42,640 --> 00:32:46,360
Speaker 3: when you don't have any concrete evidence that they're dead.

684
00:32:46,800 --> 00:32:47,120
Speaker 2: Yeah.

685
00:32:47,120 --> 00:32:50,520
Speaker 3: And I think for this guy, at least before he dies,

686
00:32:50,600 --> 00:32:54,760
Speaker 3: now he knows what happened, and that might help him

687
00:32:55,120 --> 00:32:57,720
Speaker 3: heal a little bit better for the remainder of his life.

688
00:32:58,840 --> 00:33:01,680
Speaker 4: Yeah, I mean, it's definitely good. Ida's closure. I just

689
00:33:01,880 --> 00:33:04,040
Speaker 4: I have a lot of questions about what happened with

690
00:33:04,080 --> 00:33:05,680
Speaker 4: the investigation and everything.

691
00:33:06,080 --> 00:33:08,600
Speaker 3: Yeah, I mean, because it wasn't too long ago. I

692
00:33:08,600 --> 00:33:11,280
Speaker 3: mean twenty four years ago was not too long ago.

693
00:33:11,360 --> 00:33:14,120
Speaker 4: No, I mean, they had DNA, they had dogs, you know.

694
00:33:14,560 --> 00:33:18,200
Speaker 4: I just I have a lot of questions, But I

695
00:33:18,200 --> 00:33:22,959
Speaker 4: don't know all right. Medical News, brain specialists at the

696
00:33:22,960 --> 00:33:27,800
Speaker 4: California Institute of Technology have developed a technology to decode

697
00:33:27,880 --> 00:33:28,960
Speaker 4: what you are thinking.

698
00:33:29,640 --> 00:33:31,320
Speaker 2: I hate this idea.

699
00:33:32,600 --> 00:33:35,560
Speaker 3: I feel like the theme of medical news this week

700
00:33:35,800 --> 00:33:38,800
Speaker 3: is like, why the fuck are they trying to see

701
00:33:38,880 --> 00:33:41,040
Speaker 3: if they can do this? Because it's only gonna be

702
00:33:41,160 --> 00:33:42,200
Speaker 3: used for horrible shit.

703
00:33:42,880 --> 00:33:45,600
Speaker 2: I don't want anybody knowing what I'm thinking.

704
00:33:45,960 --> 00:33:50,400
Speaker 4: Actually, So in the in the show slash Books True Blood,

705
00:33:50,600 --> 00:33:54,360
Speaker 4: that's like Suki the vain girl, her ability is she

706
00:33:54,440 --> 00:33:56,280
Speaker 4: could like hear people's thoughts.

707
00:33:57,240 --> 00:33:58,920
Speaker 2: And I just always thought, how.

708
00:33:58,760 --> 00:34:03,120
Speaker 3: Burdens of spee hearing what everybody has to like think

709
00:34:03,160 --> 00:34:05,320
Speaker 3: about you that they wouldn't say out loud, and how

710
00:34:05,360 --> 00:34:08,480
Speaker 3: horrible that would be that somebody would know what you

711
00:34:08,520 --> 00:34:09,160
Speaker 3: were thinking.

712
00:34:09,200 --> 00:34:12,040
Speaker 2: And I just absolutely do not like this technology at all.

713
00:34:13,080 --> 00:34:16,759
Speaker 3: There has to be a certain level of privacy that

714
00:34:16,840 --> 00:34:19,680
Speaker 3: a person has, and definitely inside of your brain should

715
00:34:19,680 --> 00:34:23,560
Speaker 3: be privacy like you need to have with all of

716
00:34:23,600 --> 00:34:26,720
Speaker 3: this like social media and searching your address and finding

717
00:34:26,719 --> 00:34:29,279
Speaker 3: people online and every aspect of their life. There has

718
00:34:29,360 --> 00:34:32,680
Speaker 3: to be something that you keep to yourself, and like,

719
00:34:33,080 --> 00:34:36,920
Speaker 3: I understand what they're doing. Like the research was they

720
00:34:36,960 --> 00:34:40,480
Speaker 3: had two volunteers who had spinal cord injuries and they

721
00:34:40,520 --> 00:34:42,799
Speaker 3: put electrodes in their brain. They let it heal for

722
00:34:42,880 --> 00:34:45,480
Speaker 3: like two weeks, and then they had them think of

723
00:34:45,600 --> 00:34:49,720
Speaker 3: things and they were able to literally read their thoughts

724
00:34:49,880 --> 00:34:53,160
Speaker 3: right for the one volunteer. For the one volunteer there

725
00:34:53,200 --> 00:34:55,839
Speaker 3: was like a seventy nine percent accuracy and the other

726
00:34:55,880 --> 00:34:59,080
Speaker 3: one was a twenty three percent accuracy, which they don't

727
00:34:59,120 --> 00:35:02,560
Speaker 3: know why there was such discrepancy between the two volunteers,

728
00:35:02,600 --> 00:35:04,319
Speaker 3: but they look at both of it as being a

729
00:35:04,440 --> 00:35:07,040
Speaker 3: successful because even if you could pick up twenty three

730
00:35:07,080 --> 00:35:10,520
Speaker 3: percent of what a person's thinking, that's I mean, it's

731
00:35:10,600 --> 00:35:16,320
Speaker 3: kind of amazing from from a biotech standpoint, but that

732
00:35:16,520 --> 00:35:19,040
Speaker 3: this can be done. But like, you should not do

733
00:35:19,080 --> 00:35:22,600
Speaker 3: this because this is gonna even with criminals and stuff,

734
00:35:22,640 --> 00:35:24,960
Speaker 3: Like when is this going to become a chance where

735
00:35:24,960 --> 00:35:27,320
Speaker 3: you're like, Okay, we're just going to read your thoughts

736
00:35:27,400 --> 00:35:29,280
Speaker 3: and figure out if you're lying or not and stuff.

737
00:35:29,320 --> 00:35:34,000
Speaker 3: It's like, I don't know, speaking of just because you

738
00:35:34,080 --> 00:35:36,440
Speaker 3: can doesn't mean you should. Did you see that they've

739
00:35:36,600 --> 00:35:40,600
Speaker 3: found like a dinosaur egg with a fully formed dinosaur

740
00:35:40,680 --> 00:35:42,040
Speaker 3: baby inside of the egg.

741
00:35:43,600 --> 00:35:46,000
Speaker 2: I don't think I read that now. Okay, so now

742
00:35:46,040 --> 00:35:52,120
Speaker 2: everybody's like, great, Jurassic true, would you listen?

743
00:35:52,200 --> 00:35:55,399
Speaker 3: Jurassic Park is such a genius movie or book first, that, yeah,

744
00:35:56,160 --> 00:35:59,960
Speaker 3: is because that's that's what like crazy science people do,

745
00:36:00,160 --> 00:36:02,759
Speaker 3: because you want to be able to do the impossible.

746
00:36:02,840 --> 00:36:06,319
Speaker 3: And I understand that this would be really awesome for

747
00:36:06,400 --> 00:36:10,879
Speaker 3: people who maybe can't speak or and but can think

748
00:36:10,960 --> 00:36:13,000
Speaker 3: totally clearly and want to get out the words. I

749
00:36:13,239 --> 00:36:15,359
Speaker 3: feel like I even have that problem most of the time.

750
00:36:15,400 --> 00:36:17,399
Speaker 3: It probably helped me out a lot, because what's going

751
00:36:17,440 --> 00:36:19,080
Speaker 3: on in my brain doesn't come out of my mouth.

752
00:36:19,120 --> 00:36:21,120
Speaker 2: I don't know what's going on in my brain to

753
00:36:21,160 --> 00:36:22,600
Speaker 2: be out like this.

754
00:36:23,960 --> 00:36:27,239
Speaker 3: Like yeah, your best friend is shit talking in your

755
00:36:27,239 --> 00:36:29,600
Speaker 3: own brain, you know, like you don't need to say

756
00:36:29,640 --> 00:36:32,360
Speaker 3: everything out loud. That's the greatest part of being human

757
00:36:32,440 --> 00:36:34,680
Speaker 3: is you could have thoughts and keep it to yourself

758
00:36:34,719 --> 00:36:37,479
Speaker 3: and kind of giggle to yourself, but not project those

759
00:36:37,480 --> 00:36:38,799
Speaker 3: into the world. Yeah.

760
00:36:38,840 --> 00:36:39,880
Speaker 2: I don't know, but I don't know.

761
00:36:39,920 --> 00:36:42,680
Speaker 3: Maybe that would make things better because every you know,

762
00:36:42,760 --> 00:36:45,160
Speaker 3: if you were like upfront and honest and blunt with

763
00:36:45,200 --> 00:36:47,680
Speaker 3: every single person, there would be no room to be like,

764
00:36:48,200 --> 00:36:50,400
Speaker 3: oh she looked at me weird at dinner. Was she

765
00:36:50,520 --> 00:36:53,160
Speaker 3: thinking this and stuff? There's like, no, none of that's gone.

766
00:36:53,160 --> 00:36:53,800
Speaker 3: It's all gone.

767
00:36:53,840 --> 00:36:55,879
Speaker 4: Like what if one of the patients they were doing

768
00:36:55,920 --> 00:36:58,000
Speaker 4: a trial that was like shit talking.

769
00:36:57,680 --> 00:36:58,960
Speaker 2: The researcher like this too.

770
00:36:59,120 --> 00:37:01,360
Speaker 3: That's what I think when I read it, like this

771
00:37:01,520 --> 00:37:02,480
Speaker 3: is fucking stupid.

772
00:37:02,600 --> 00:37:05,120
Speaker 2: I let them wu to these electrodes in my brain.

773
00:37:05,840 --> 00:37:08,640
Speaker 3: Yeah, I was thinking that too, and I'd be like scared,

774
00:37:08,680 --> 00:37:11,040
Speaker 3: I'd be having like performance anxiety that I was gonna

775
00:37:11,040 --> 00:37:13,480
Speaker 3: say something like what if the what if one of

776
00:37:13,480 --> 00:37:16,440
Speaker 3: the researchers had some like crazy bushy eyebrows or something

777
00:37:16,440 --> 00:37:19,239
Speaker 3: weird that you just like couldn't stop staring at, or

778
00:37:19,280 --> 00:37:22,000
Speaker 3: like weird like foam around their mouth, or like a

779
00:37:22,120 --> 00:37:24,719
Speaker 3: giant bat in the cave or something like that, Like

780
00:37:25,000 --> 00:37:27,680
Speaker 3: you you can't help but not think about these things,

781
00:37:27,680 --> 00:37:29,480
Speaker 3: And they were probably petrified this.

782
00:37:29,719 --> 00:37:31,880
Speaker 4: I guess we could look at it as like good

783
00:37:31,920 --> 00:37:36,000
Speaker 4: for you science wise, horrible idea for humanity.

784
00:37:35,760 --> 00:37:37,760
Speaker 2: So exactly okay.

785
00:37:37,800 --> 00:37:40,880
Speaker 4: Next, the FDA has approved the option for patients to

786
00:37:40,920 --> 00:37:44,760
Speaker 4: collect their own vaginal samples for screening in a healthcare setting,

787
00:37:44,840 --> 00:37:48,120
Speaker 4: so they're able to take their own samples in settings

788
00:37:48,120 --> 00:37:50,640
Speaker 4: such as a doctor's office and urgent care or even

789
00:37:50,680 --> 00:37:53,480
Speaker 4: a mobile clinic in case they're very uncomfortable with a

790
00:37:53,520 --> 00:37:59,400
Speaker 4: doctor taking their own samples. So having somebody work like

791
00:37:59,520 --> 00:38:02,320
Speaker 4: as somebody I worked in scientology and did pap smears

792
00:38:02,360 --> 00:38:05,040
Speaker 4: and stuff, how do you feel about this people taking

793
00:38:05,120 --> 00:38:07,880
Speaker 4: their own cervical cancer screen examples?

794
00:38:07,920 --> 00:38:11,160
Speaker 3: The thing the article was written a little terrible because

795
00:38:11,160 --> 00:38:15,319
Speaker 3: it said your own vaginal screening. So my first thought was,

796
00:38:15,360 --> 00:38:17,400
Speaker 3: because what, I don't know if you guys know this

797
00:38:17,440 --> 00:38:19,799
Speaker 3: But before I was a PA, I went to score

798
00:38:19,840 --> 00:38:21,840
Speaker 3: to be a cytotech and I looked at pap smears

799
00:38:21,880 --> 00:38:23,799
Speaker 3: for a living that was that was like mostly what

800
00:38:23,840 --> 00:38:27,160
Speaker 3: I did. And the only way to get a very

801
00:38:27,200 --> 00:38:30,480
Speaker 3: adequate sample to say a true picture of what's going

802
00:38:30,560 --> 00:38:35,759
Speaker 3: on inside of the female reproductive track is to get up.

803
00:38:35,840 --> 00:38:38,200
Speaker 3: You have to kind of get up inside of the cervix.

804
00:38:38,520 --> 00:38:40,760
Speaker 3: So when you go get a pap smear, it feels

805
00:38:40,920 --> 00:38:44,879
Speaker 3: like really gross, like it has a weird, uncomfortable like

806
00:38:45,000 --> 00:38:48,920
Speaker 3: this doesn't feel natural feeling because they're sticking a swab

807
00:38:49,040 --> 00:38:52,000
Speaker 3: or a tool up inside of your cervix to get

808
00:38:52,040 --> 00:38:56,800
Speaker 3: this transitional zone, which is where HPV affected infected cells

809
00:38:57,239 --> 00:39:00,360
Speaker 3: turn over a lot and could lead to pre cancer

810
00:39:00,360 --> 00:39:04,080
Speaker 3: and cancer's changes. When when as a cytotech one, we

811
00:39:04,160 --> 00:39:07,960
Speaker 3: didn't get adequate samples of that area, whether it was

812
00:39:08,040 --> 00:39:10,279
Speaker 3: the woman was on her period or the doctor just

813
00:39:10,280 --> 00:39:12,759
Speaker 3: like didn't do it right or whatever, the woman was

814
00:39:12,800 --> 00:39:14,840
Speaker 3: squirming too much and they couldn't get a good sample

815
00:39:15,520 --> 00:39:18,799
Speaker 3: that we would actually note that in the report, like, hey,

816
00:39:18,840 --> 00:39:21,840
Speaker 3: we don't have the correct zone, so right now it

817
00:39:21,880 --> 00:39:24,439
Speaker 3: looks like there's no cancer cells there, but like we're

818
00:39:24,480 --> 00:39:27,040
Speaker 3: not in the right zone because we could tell by

819
00:39:27,080 --> 00:39:29,600
Speaker 3: looking at the different kinds of cells that we see

820
00:39:29,680 --> 00:39:32,880
Speaker 3: under the microscope. So my first thought with thinking this

821
00:39:33,040 --> 00:39:36,759
Speaker 3: is like, if trained doctors can't even get adequate samples sometimes,

822
00:39:36,800 --> 00:39:40,880
Speaker 3: how is a person going to do this by themselves

823
00:39:40,880 --> 00:39:44,000
Speaker 3: at home because you still have to go up into

824
00:39:44,000 --> 00:39:45,280
Speaker 3: the cervix like that.

825
00:39:45,280 --> 00:39:48,600
Speaker 4: That happened to me once I had my papsmere done

826
00:39:48,640 --> 00:39:50,319
Speaker 4: and then they called me and said they didn't do

827
00:39:50,360 --> 00:39:51,759
Speaker 4: it right, and I had to go back and get

828
00:39:51,800 --> 00:39:52,400
Speaker 4: it done again.

829
00:39:52,840 --> 00:39:54,680
Speaker 3: Yeah, I mean, it happens. It doesn't happen a lot,

830
00:39:54,680 --> 00:39:58,759
Speaker 3: but it happens. So they they did create this thing

831
00:39:58,760 --> 00:40:00,480
Speaker 3: that I looked up that was called it's called a

832
00:40:00,560 --> 00:40:03,839
Speaker 3: teal wand And what it looks like is it looks

833
00:40:03,880 --> 00:40:06,719
Speaker 3: like they're gonna have women inserted in their vagina like

834
00:40:06,760 --> 00:40:09,480
Speaker 3: a tampon. It almost looks like a tampon. And within

835
00:40:09,560 --> 00:40:12,840
Speaker 3: the tampon is this swab that you kind of push

836
00:40:12,920 --> 00:40:15,680
Speaker 3: all the way up that's going to go up into

837
00:40:15,719 --> 00:40:18,360
Speaker 3: the cervix and get those cells that they need to check.

838
00:40:19,160 --> 00:40:24,080
Speaker 3: The thing is is that for me, once a woman

839
00:40:24,200 --> 00:40:27,640
Speaker 3: feels that weird, gross feeling, is every single person going

840
00:40:27,680 --> 00:40:32,640
Speaker 3: to tolerate that uncomfortable, weird feeling for a second, you

841
00:40:32,680 --> 00:40:34,239
Speaker 3: know what I mean, Like, I feel like there's going

842
00:40:34,320 --> 00:40:36,080
Speaker 3: to be issues with collection.

843
00:40:36,320 --> 00:40:39,200
Speaker 4: Honestly, this sounds a thousand times worse to me than

844
00:40:39,239 --> 00:40:43,000
Speaker 4: them sticking that medieval contraption up your kuchie and sticking

845
00:40:43,120 --> 00:40:45,440
Speaker 4: doing it in thirty six not even thirty seconds, it

846
00:40:45,480 --> 00:40:46,640
Speaker 4: takes five seconds.

847
00:40:47,320 --> 00:40:50,120
Speaker 3: I mean, I understand the point of it, because this

848
00:40:50,200 --> 00:40:52,520
Speaker 3: is what this is what they're fighting, Like, Okay, In

849
00:40:52,960 --> 00:40:56,080
Speaker 3: United States, cervical cancer used to be a huge killer

850
00:40:56,239 --> 00:40:59,080
Speaker 3: among women, and now it's under control because of things

851
00:40:59,080 --> 00:41:02,319
Speaker 3: like the hpvvacs and cervical cancer screening and everything. But

852
00:41:02,440 --> 00:41:05,080
Speaker 3: still there's eleven thousand cases of it in the United

853
00:41:05,120 --> 00:41:08,160
Speaker 3: States a year. It's much higher in other countries. And

854
00:41:08,320 --> 00:41:11,960
Speaker 3: of those, almost half of these women die. For four

855
00:41:12,000 --> 00:41:14,840
Speaker 3: thousand of them die from it. And when they do

856
00:41:15,000 --> 00:41:18,719
Speaker 3: some investigation to find out exactly like how they got

857
00:41:18,760 --> 00:41:21,360
Speaker 3: stage four cervical cancer just because women are supposed to

858
00:41:21,400 --> 00:41:24,319
Speaker 3: get screened every couple of years, it shouldn't ever get

859
00:41:24,360 --> 00:41:28,319
Speaker 3: to that point, they find that most of the some

860
00:41:28,400 --> 00:41:30,400
Speaker 3: of the women, most of them actually never had a

861
00:41:30,400 --> 00:41:32,879
Speaker 3: pap smear. And then there's like ten percent of them

862
00:41:32,880 --> 00:41:35,400
Speaker 3: that haven't had a PAP smear in five years. So

863
00:41:36,040 --> 00:41:38,120
Speaker 3: what they want to do is just to make sure

864
00:41:38,120 --> 00:41:40,719
Speaker 3: that women are testing every couple years, just to make

865
00:41:40,760 --> 00:41:43,480
Speaker 3: sure because even if you catch it early or at

866
00:41:43,480 --> 00:41:47,360
Speaker 3: pre cancer stages, it's much better than being diagnosed with

867
00:41:47,400 --> 00:41:50,120
Speaker 3: formal cancer because then it's just trickier to treat, and

868
00:41:50,160 --> 00:41:53,239
Speaker 3: it's nastier, and the probability of you dying from it

869
00:41:53,280 --> 00:41:56,839
Speaker 3: is just much higher. So I see why they want

870
00:41:56,840 --> 00:41:58,960
Speaker 3: to do it, because there are people that don't go

871
00:41:59,640 --> 00:42:01,600
Speaker 3: to They don't want to go to the gynocologists.

872
00:42:01,640 --> 00:42:01,880
Speaker 2: It is.

873
00:42:02,040 --> 00:42:04,560
Speaker 3: It is like, seriously so awkward every time I go.

874
00:42:04,640 --> 00:42:06,200
Speaker 3: I say that to my husband, Like, you have no

875
00:42:06,280 --> 00:42:08,239
Speaker 3: idea what it's like to have to go to the

876
00:42:08,280 --> 00:42:10,400
Speaker 3: doctor like once a year, once every couple of years,

877
00:42:10,760 --> 00:42:14,080
Speaker 3: and like get completely naked and have them stick a

878
00:42:14,280 --> 00:42:16,600
Speaker 3: contraption in your badge and stick their finger up your

879
00:42:16,600 --> 00:42:19,680
Speaker 3: ass and fill up your boobs and like ask you

880
00:42:19,719 --> 00:42:22,080
Speaker 3: about who you're having sex with and what protect Like,

881
00:42:22,120 --> 00:42:24,560
Speaker 3: it's just it's invasive and it's awkward and I just

882
00:42:24,600 --> 00:42:27,759
Speaker 3: hate it. And like, honestly, like if I could do

883
00:42:27,840 --> 00:42:31,560
Speaker 3: this at home or like that, I would because I

884
00:42:31,680 --> 00:42:33,160
Speaker 3: know how to do it, but I'm just I don't.

885
00:42:33,200 --> 00:42:35,840
Speaker 3: I don't know that like other people would collect it

886
00:42:35,880 --> 00:42:39,120
Speaker 3: as good. So that's my only concern. Unless this teal

887
00:42:39,239 --> 00:42:42,160
Speaker 3: wand has some kind of fool proof like you can't

888
00:42:42,200 --> 00:42:45,839
Speaker 3: screw it up collecting it thing, I don't know. Yeah,

889
00:42:45,880 --> 00:42:47,000
Speaker 3: I'm into I'm into it.

890
00:42:47,040 --> 00:42:48,239
Speaker 2: I'm not I'm not against it.

891
00:42:48,280 --> 00:42:50,840
Speaker 3: I just I couldn't really find too much information about

892
00:42:50,880 --> 00:42:53,600
Speaker 3: like hell, because it got FDA approved, so they had

893
00:42:53,600 --> 00:42:55,440
Speaker 3: to go through some kind of trials to prove that.

894
00:42:55,520 --> 00:42:56,279
Speaker 2: It worked right.

895
00:42:56,440 --> 00:42:58,840
Speaker 4: I mean, I guess my concern is the same as yours,

896
00:42:58,880 --> 00:43:01,880
Speaker 4: like our people gonna do it right, but then you guys,

897
00:43:01,880 --> 00:43:03,840
Speaker 4: I guess on the lab band no, if it's not

898
00:43:04,040 --> 00:43:06,120
Speaker 4: done correctly, to have them do it again.

899
00:43:06,320 --> 00:43:10,160
Speaker 3: So I just I don't know the method that they're

900
00:43:10,200 --> 00:43:13,040
Speaker 3: even looking. So a traditional cytotech will look at the

901
00:43:13,080 --> 00:43:16,000
Speaker 3: cells under the microscope, but I'm assuming that they're probably

902
00:43:16,040 --> 00:43:20,359
Speaker 3: looking they're testing for DNA of HPB to see if

903
00:43:20,360 --> 00:43:21,320
Speaker 3: a person's high risk.

904
00:43:21,239 --> 00:43:22,600
Speaker 2: Or low risk or just negative.

905
00:43:23,239 --> 00:43:26,560
Speaker 3: So and if a human isn't looking at it under

906
00:43:26,560 --> 00:43:29,879
Speaker 3: the microscope, then I don't know. I just I don't

907
00:43:29,920 --> 00:43:32,960
Speaker 3: really know about the test. I'm curious about it. I

908
00:43:33,000 --> 00:43:34,080
Speaker 3: want more information, that's all.

909
00:43:34,040 --> 00:43:36,160
Speaker 2: I want to say. Yeah, all right.

910
00:43:36,200 --> 00:43:39,359
Speaker 4: Next, a new study led by University of Nebraska found

911
00:43:39,400 --> 00:43:43,120
Speaker 4: that regular vapors between the ages of thirteen and seventeen

912
00:43:43,160 --> 00:43:46,600
Speaker 4: who reported using an e segarette at least eight times

913
00:43:46,600 --> 00:43:49,080
Speaker 4: a day have thirty percent more lead and twice as

914
00:43:49,160 --> 00:43:52,080
Speaker 4: much uranium in their urine compared to their peers who

915
00:43:52,200 --> 00:43:53,800
Speaker 4: only occasionally vaped.

916
00:43:55,640 --> 00:43:56,359
Speaker 2: Surprised.

917
00:43:56,760 --> 00:43:59,239
Speaker 3: I've been saying this since vaping became a huge thing,

918
00:43:59,320 --> 00:44:01,440
Speaker 3: that like give but it's some time and all the

919
00:44:01,520 --> 00:44:04,279
Speaker 3: dirty secrets are going to start coming out, right. You

920
00:44:04,360 --> 00:44:06,680
Speaker 3: have to give things time to be able to have

921
00:44:06,719 --> 00:44:09,000
Speaker 3: research and to see the long term effects on humans.

922
00:44:09,480 --> 00:44:12,279
Speaker 3: I think we talked about a couple weeks ago or

923
00:44:12,280 --> 00:44:14,920
Speaker 3: a couple months ago how vaping increases your risk of

924
00:44:14,960 --> 00:44:21,200
Speaker 3: cardiovascular disease, and now we're seeing that this is especially dangerous.

925
00:44:21,680 --> 00:44:24,680
Speaker 3: Kind of shocking that they're doing this test in children

926
00:44:24,719 --> 00:44:28,319
Speaker 3: that are thirteen to seventeen years old who vape regularly. Like,

927
00:44:28,400 --> 00:44:30,920
Speaker 3: that's kind of insane. Yeah, and I don't want to

928
00:44:30,960 --> 00:44:31,400
Speaker 3: be naive.

929
00:44:31,480 --> 00:44:32,320
Speaker 2: I know it happens.

930
00:44:32,440 --> 00:44:35,319
Speaker 4: Yeah, And they said the uranium levels were especially high

931
00:44:35,400 --> 00:44:38,520
Speaker 4: in those who preferred sweeter flavors as opposed to mental

932
00:44:38,680 --> 00:44:39,600
Speaker 4: or mintee ones.

933
00:44:40,400 --> 00:44:44,160
Speaker 3: Yeah, And I mean the concern is obviously heavy metal

934
00:44:44,280 --> 00:44:48,719
Speaker 3: poisoning and a young developing brain. Even though teenagers sometimes

935
00:44:48,760 --> 00:44:51,400
Speaker 3: look like adults and everything, their brain is not done

936
00:44:51,520 --> 00:44:55,759
Speaker 3: developing yet, and to have these heavy metals in the system,

937
00:44:56,120 --> 00:44:59,800
Speaker 3: it's just unknown the effects of brain development on these kids.

938
00:45:00,040 --> 00:45:05,480
Speaker 3: And I mean, it's just I think that there's just

939
00:45:05,560 --> 00:45:08,640
Speaker 3: like a larger conversation to be had about how are

940
00:45:08,680 --> 00:45:10,200
Speaker 3: these kids even really.

941
00:45:10,000 --> 00:45:10,960
Speaker 2: Getting this stuff?

942
00:45:11,000 --> 00:45:13,719
Speaker 3: How's a thirteen year old even able to vape if

943
00:45:13,760 --> 00:45:15,839
Speaker 3: you have to be a certain age to buy it?

944
00:45:15,960 --> 00:45:18,520
Speaker 2: And how do they know about it? Is it pushed

945
00:45:18,560 --> 00:45:20,080
Speaker 2: on social media? Is it like.

946
00:45:21,719 --> 00:45:24,600
Speaker 3: Celebrities are using it? It's like the greatest thing ever? Like,

947
00:45:24,719 --> 00:45:26,960
Speaker 3: what's what's making all these kids do this?

948
00:45:27,200 --> 00:45:30,560
Speaker 4: Kids, I feel like, are naturally attracted to smoking because

949
00:45:30,600 --> 00:45:33,440
Speaker 4: it's like a bad thing to do. And then you know,

950
00:45:33,600 --> 00:45:36,880
Speaker 4: the flavors are like caught in candy, which is attractive

951
00:45:36,920 --> 00:45:39,520
Speaker 4: to a thirteen year old, And a lot of the

952
00:45:39,600 --> 00:45:43,000
Speaker 4: advertising is very colorful. I know that a lot of

953
00:45:43,040 --> 00:45:46,360
Speaker 4: these vaping companies it kind of goes back to the

954
00:45:46,440 --> 00:45:49,200
Speaker 4: sixties and cigarette companies right, like, they started getting in

955
00:45:49,200 --> 00:45:52,920
Speaker 4: trouble for their marketing practices because they were targeting children.

956
00:45:53,719 --> 00:45:56,000
Speaker 4: So I think it's kind of coming full circle now

957
00:45:56,000 --> 00:45:59,680
Speaker 4: where the vaping companies are now making the product and

958
00:45:59,719 --> 00:46:02,919
Speaker 4: making more enticing to a younger audience, which is problematic.

959
00:46:03,040 --> 00:46:06,719
Speaker 4: And I think even just last year a company got

960
00:46:06,719 --> 00:46:10,920
Speaker 4: fined for their marketing that was directly geared towards children.

961
00:46:11,080 --> 00:46:13,319
Speaker 2: Basically, Yeah, I don't know.

962
00:46:13,400 --> 00:46:17,359
Speaker 3: I just but the couple of thirteen year old kids

963
00:46:17,400 --> 00:46:19,600
Speaker 3: I know, for example, I'm like, I don't know where

964
00:46:19,640 --> 00:46:21,560
Speaker 3: they would get it unless they're getting it from their

965
00:46:21,600 --> 00:46:23,800
Speaker 3: parents or something. It happens to be like an older

966
00:46:23,840 --> 00:46:25,680
Speaker 3: person buying it for them, right, Yeah, I'm sure a

967
00:46:25,760 --> 00:46:29,480
Speaker 3: parent's older sibling, a friend's older sibling. You know.

968
00:46:29,719 --> 00:46:33,680
Speaker 4: Yeah, they can get it or you know, they have sources.

969
00:46:33,680 --> 00:46:35,839
Speaker 4: It's the same how they get alcohol and everything else.

970
00:46:35,880 --> 00:46:38,080
Speaker 3: I just think it's different, Like when I was a

971
00:46:38,080 --> 00:46:40,120
Speaker 3: teenager and all the kids in high school were smoking,

972
00:46:40,160 --> 00:46:41,799
Speaker 3: Like you used to be able to get cigarettes out

973
00:46:41,840 --> 00:46:43,960
Speaker 3: of ending machines, used to be able to send your

974
00:46:44,040 --> 00:46:46,799
Speaker 3: kid into Like Gabe even says that like his mom

975
00:46:46,800 --> 00:46:49,480
Speaker 3: would send them into Cumberland farms with money and be like,

976
00:46:49,520 --> 00:46:51,200
Speaker 3: get me a pack of cigarettes, and they would give

977
00:46:51,239 --> 00:46:53,440
Speaker 3: it to him as a little child, Like that was

978
00:46:53,520 --> 00:46:55,400
Speaker 3: back in the day. I just think, like, right now,

979
00:46:56,040 --> 00:46:58,960
Speaker 3: it just seems like a lot harder to buy things.

980
00:46:59,080 --> 00:47:01,040
Speaker 4: I don't think it's as hard as you think, though,

981
00:47:01,160 --> 00:47:04,040
Speaker 4: And like, do you ever see these memes of like

982
00:47:04,719 --> 00:47:06,760
Speaker 4: thirteen year olds now and me at thirteen?

983
00:47:07,239 --> 00:47:07,479
Speaker 1: Yeah?

984
00:47:07,480 --> 00:47:10,520
Speaker 4: I do? Kids look so much older now. I don't

985
00:47:10,560 --> 00:47:14,120
Speaker 4: even I don't think people working at places that sell

986
00:47:14,200 --> 00:47:14,960
Speaker 4: vapes give.

987
00:47:14,880 --> 00:47:18,279
Speaker 2: Two shits who they're selling it too. I guess all right.

988
00:47:18,360 --> 00:47:22,000
Speaker 4: Next, a school nurse is being investigated for quote misuse

989
00:47:22,080 --> 00:47:26,200
Speaker 4: of prescription medication intended for students after one child tested

990
00:47:26,239 --> 00:47:29,880
Speaker 4: positive for feanyl. So it looks like the school alerted

991
00:47:29,920 --> 00:47:33,680
Speaker 4: the parent of this that their child received the wrong medications,

992
00:47:34,160 --> 00:47:37,600
Speaker 4: and then lab work showed that the kid had excessive

993
00:47:37,719 --> 00:47:41,640
Speaker 4: aspirin intake and tested positive for fatanyl. So their lawyer

994
00:47:41,760 --> 00:47:43,719
Speaker 4: is now saying they have evidence the school did not

995
00:47:43,840 --> 00:47:48,920
Speaker 4: properly dispense the prescription medication and was substituting it out

996
00:47:49,000 --> 00:47:50,240
Speaker 4: for other medications.

997
00:47:51,440 --> 00:47:52,320
Speaker 2: I'm trying to wonder.

998
00:47:52,360 --> 00:47:55,160
Speaker 3: So it was an elementary school, which is little okay,

999
00:47:55,239 --> 00:47:58,560
Speaker 3: I think, like under fifth grade, right, Yeah, what what

1000
00:47:58,760 --> 00:48:03,160
Speaker 3: prescription medication? And is a child bringing to school? So

1001
00:48:03,320 --> 00:48:06,120
Speaker 3: our kids take like they have in Haller's at school

1002
00:48:06,239 --> 00:48:08,400
Speaker 3: and they're allowed to take til and all. I have

1003
00:48:08,520 --> 00:48:11,040
Speaker 3: friends that have children that have diabetes and they have

1004
00:48:11,080 --> 00:48:12,799
Speaker 3: to send insulin to school.

1005
00:48:12,880 --> 00:48:13,600
Speaker 2: Things like that.

1006
00:48:13,920 --> 00:48:17,960
Speaker 3: What medication is being given for a school to disperse

1007
00:48:18,120 --> 00:48:20,719
Speaker 3: that has spentanyl in it for a child under five

1008
00:48:20,760 --> 00:48:21,760
Speaker 3: year fifth grade?

1009
00:48:21,840 --> 00:48:22,279
Speaker 2: I don't know.

1010
00:48:22,320 --> 00:48:26,960
Speaker 4: It seems extremely suspicious weird to me, right Like, I

1011
00:48:27,040 --> 00:48:30,000
Speaker 4: just think it's clearly weird to everybody because she's now

1012
00:48:30,040 --> 00:48:31,520
Speaker 4: being investigated by the police.

1013
00:48:31,880 --> 00:48:35,200
Speaker 3: So I mean, I I don't know, Like I obviously

1014
00:48:35,280 --> 00:48:38,560
Speaker 3: I don't treat live people, especially children. I don't know.

1015
00:48:38,680 --> 00:48:42,040
Speaker 3: I assume that kids get fatanol sometimes because they they're

1016
00:48:42,040 --> 00:48:44,040
Speaker 3: getting cancer treatment, or they have some kind of chronic

1017
00:48:44,040 --> 00:48:47,239
Speaker 3: pain condition. Maybe I just don't see that if it

1018
00:48:47,320 --> 00:48:49,440
Speaker 3: was that bad that the kid needed to be on that,

1019
00:48:49,440 --> 00:48:51,680
Speaker 3: that they would be able to just go to public

1020
00:48:51,719 --> 00:48:54,040
Speaker 3: school like a normal day and have a nurse give

1021
00:48:54,080 --> 00:48:57,360
Speaker 3: the medication out. Yeah, it just seems a little crazy

1022
00:48:57,400 --> 00:49:00,400
Speaker 3: to me. And just imagine getting that call from your

1023
00:49:00,440 --> 00:49:02,920
Speaker 3: school that there was a mix up in medication. And

1024
00:49:02,960 --> 00:49:05,160
Speaker 3: then bringing your child to the doctor and having them

1025
00:49:05,200 --> 00:49:09,800
Speaker 3: test for high levels of aspirin and fentanol is against

1026
00:49:09,840 --> 00:49:13,400
Speaker 3: you know, against their their will take thinking that this

1027
00:49:13,520 --> 00:49:15,799
Speaker 3: school nurse, you trust them to take care of your

1028
00:49:15,880 --> 00:49:20,920
Speaker 3: child's health at school. It's just it's so it's so invasive.

1029
00:49:20,440 --> 00:49:23,279
Speaker 2: You know, No, it definitely isn't. It's scary. I'm really

1030
00:49:23,360 --> 00:49:24,640
Speaker 2: wondering it.

1031
00:49:24,960 --> 00:49:28,359
Speaker 4: Like in my mind, she has to be bringing in

1032
00:49:28,520 --> 00:49:30,080
Speaker 4: her own stuff and giving it to the.

1033
00:49:30,040 --> 00:49:33,240
Speaker 2: Kid, right, Yeah, like I would.

1034
00:49:33,280 --> 00:49:37,160
Speaker 3: I would think she had something at school and mixed somehow,

1035
00:49:37,200 --> 00:49:40,880
Speaker 3: like gave something in a bottle she had instead or

1036
00:49:41,120 --> 00:49:41,840
Speaker 3: had it mixed up.

1037
00:49:41,880 --> 00:49:45,240
Speaker 4: I mean, because like they don't just like out of school.

1038
00:49:46,480 --> 00:49:49,680
Speaker 4: Do they just have some medications aside? Or does every

1039
00:49:49,800 --> 00:49:51,160
Speaker 4: kid have to bring in their own?

1040
00:49:51,719 --> 00:49:55,799
Speaker 3: No, we we had to not only that, Like so

1041
00:49:55,960 --> 00:49:59,080
Speaker 3: Lulu and Lilian are on out butterol for asthma. I

1042
00:49:59,160 --> 00:50:01,520
Speaker 3: had to send it in a haller with Lilian's name

1043
00:50:01,560 --> 00:50:03,799
Speaker 3: on it, with the you know, the box has the

1044
00:50:03,840 --> 00:50:06,839
Speaker 3: prescription on it. I just send one for her and

1045
00:50:06,840 --> 00:50:10,040
Speaker 3: one for Lilian. Lucea one for Lilian. Even though I

1046
00:50:10,040 --> 00:50:11,880
Speaker 3: said to the nurse, like can't they just share it?

1047
00:50:11,920 --> 00:50:12,719
Speaker 2: I only have one.

1048
00:50:15,120 --> 00:50:17,759
Speaker 3: Yeah, I thought that that was kind of nuts. And

1049
00:50:17,760 --> 00:50:19,879
Speaker 3: then on top of that, they say, can you can

1050
00:50:19,920 --> 00:50:23,759
Speaker 3: the nurse give your child motrin or a tailan off? Right,

1051
00:50:24,360 --> 00:50:26,440
Speaker 3: I have to get the doctor to write a note

1052
00:50:26,480 --> 00:50:30,000
Speaker 3: that says what milligrams they take off each of those,

1053
00:50:30,040 --> 00:50:32,640
Speaker 3: and then I have to send in my own motron

1054
00:50:32,719 --> 00:50:34,680
Speaker 3: and my own tailan off for each kid. So I

1055
00:50:34,719 --> 00:50:37,120
Speaker 3: had to send Remember I bought all those boxes because

1056
00:50:37,120 --> 00:50:39,120
Speaker 3: I was like, this one's for Lilian, this one's fort

1057
00:50:39,280 --> 00:50:40,040
Speaker 3: Maybe that's just.

1058
00:50:40,040 --> 00:50:42,960
Speaker 4: Your school though, because they go to a private school

1059
00:50:42,960 --> 00:50:47,759
Speaker 4: and not a public school. So I'm interested to see

1060
00:50:47,760 --> 00:50:50,279
Speaker 4: if public schools. I'm even thinking like, let's give this,

1061
00:50:50,520 --> 00:50:52,799
Speaker 4: let's give this lady the benefit of it out for

1062
00:50:52,840 --> 00:50:55,360
Speaker 4: a second and just say they just have a cabinet

1063
00:50:55,360 --> 00:50:57,360
Speaker 4: full of Thailand and all aspirin and everything, Like what

1064
00:50:57,400 --> 00:50:59,960
Speaker 4: if somebody else is going in there and tampering with it?

1065
00:51:00,840 --> 00:51:03,160
Speaker 2: I think, I mean, that's true. I just think back

1066
00:51:03,160 --> 00:51:03,360
Speaker 2: in the.

1067
00:51:03,440 --> 00:51:06,799
Speaker 3: Day when when when we were kids, even when you

1068
00:51:06,840 --> 00:51:08,560
Speaker 3: were kids, it was just like a little bit like

1069
00:51:08,600 --> 00:51:10,239
Speaker 3: if I went to the nurse and said I had

1070
00:51:10,280 --> 00:51:11,240
Speaker 3: a headache, she would.

1071
00:51:11,080 --> 00:51:11,640
Speaker 2: Give me talent.

1072
00:51:11,680 --> 00:51:13,759
Speaker 3: I'll not even call my mom and ask about it. Right,

1073
00:51:14,200 --> 00:51:16,800
Speaker 3: But now it's like a different story because they're scared

1074
00:51:16,800 --> 00:51:19,760
Speaker 3: to death of something like this happening.

1075
00:51:20,080 --> 00:51:21,080
Speaker 2: Yeah right, or your.

1076
00:51:21,000 --> 00:51:24,080
Speaker 3: Kid have an an allergy, or just well your calls

1077
00:51:24,160 --> 00:51:28,920
Speaker 3: for every yeah, well yeah, way too much. But I

1078
00:51:28,920 --> 00:51:31,680
Speaker 3: guess it's better than giving my kid fen all right,

1079
00:51:31,800 --> 00:51:34,120
Speaker 3: So I can't I guess I can't complain, all right.

1080
00:51:34,200 --> 00:51:37,480
Speaker 4: Next, an airline worker is claiming she went blind after

1081
00:51:37,600 --> 00:51:41,600
Speaker 4: drinking bug infested coffee from a vending machine. So she

1082
00:51:41,719 --> 00:51:43,920
Speaker 4: got that coffee and said, after drinking half of it,

1083
00:51:44,040 --> 00:51:47,239
Speaker 4: she noticed it tastes off, and then noticed little antennas

1084
00:51:47,239 --> 00:51:50,840
Speaker 4: and wings coming out of the liquid and clinging to

1085
00:51:50,920 --> 00:51:52,600
Speaker 4: the side of the cup. Did you see the picture

1086
00:51:52,680 --> 00:51:56,440
Speaker 4: in the article? She pressed, The cup's nasty, absolutely disgusting,

1087
00:51:56,760 --> 00:51:59,120
Speaker 4: so she said. About ten minutes later, she started feeling

1088
00:51:59,120 --> 00:52:02,080
Speaker 4: sick and went in which she believes is anaphylactic shock.

1089
00:52:02,440 --> 00:52:05,360
Speaker 4: Her face and throat swelled so badly she couldn't breathe,

1090
00:52:05,400 --> 00:52:08,640
Speaker 4: and she lost her sight, and she spent thirty six

1091
00:52:08,680 --> 00:52:09,800
Speaker 4: hours in the ICU.

1092
00:52:10,960 --> 00:52:13,800
Speaker 3: I keep trying to think of, like, what actually happened

1093
00:52:13,800 --> 00:52:16,480
Speaker 3: with this woman? Trust me, the cop is so nasty looking,

1094
00:52:17,600 --> 00:52:20,839
Speaker 3: but something caused her to have some kind of an

1095
00:52:20,840 --> 00:52:25,279
Speaker 3: allergic type reaction because of the swelling. She didn't I

1096
00:52:25,320 --> 00:52:27,799
Speaker 3: wouldn't really say that she actually went blind. I just

1097
00:52:27,840 --> 00:52:30,560
Speaker 3: think that her face swelled up so bad from whatever

1098
00:52:30,600 --> 00:52:33,360
Speaker 3: she was having a reaction to that she couldn't see

1099
00:52:33,400 --> 00:52:36,120
Speaker 3: out of her eyelids because they were so swollen, you know.

1100
00:52:37,400 --> 00:52:39,760
Speaker 3: And she was in the ICU for thirty six hours,

1101
00:52:39,760 --> 00:52:42,759
Speaker 3: So she's not making this up that this happened. I

1102
00:52:42,800 --> 00:52:46,080
Speaker 3: don't know what she drank. I don't know why there

1103
00:52:46,080 --> 00:52:48,760
Speaker 3: were bugs in it, how that happened, how long. Maybe

1104
00:52:48,760 --> 00:52:52,840
Speaker 3: the machine hadn't been cleaned out. But well, that's what

1105
00:52:52,960 --> 00:52:55,759
Speaker 3: I'm thinking. It's a cleaning issue. I even just heard

1106
00:52:55,760 --> 00:52:58,759
Speaker 3: a couple of weeks ago that something came out that,

1107
00:52:58,880 --> 00:53:03,480
Speaker 3: you know, like at the base they have those side

1108
00:53:03,600 --> 00:53:06,160
Speaker 3: the condiment dispensers with the ketchup and everything.

1109
00:53:06,360 --> 00:53:07,520
Speaker 2: Oh yeah, they're probably nasty.

1110
00:53:07,680 --> 00:53:10,319
Speaker 4: Yeah, I've heard like those type of things that are

1111
00:53:10,360 --> 00:53:14,040
Speaker 4: at like restaurants, buffets, stadiums, everything like that are so

1112
00:53:14,280 --> 00:53:18,839
Speaker 4: often found contaminated with maggots because they don't clean them out.

1113
00:53:18,920 --> 00:53:21,840
Speaker 4: So like I actually am like I don't want to

1114
00:53:21,920 --> 00:53:23,960
Speaker 4: use them anymore since I found that out.

1115
00:53:24,440 --> 00:53:26,600
Speaker 3: Since we're going to the Phillies game tonight, I'll bring

1116
00:53:26,719 --> 00:53:29,799
Speaker 3: us like some packets of ketchup and relish fra.

1117
00:53:30,520 --> 00:53:32,960
Speaker 4: I was gonna say that because, like, honestly, it's gave

1118
00:53:33,040 --> 00:53:35,960
Speaker 4: me out so bad, and I'm thinking that might be

1119
00:53:36,000 --> 00:53:38,480
Speaker 4: the situation, like they're just not cleaning it properly. And

1120
00:53:39,920 --> 00:53:42,960
Speaker 4: you know, like most of the restaurants I worked at

1121
00:53:42,960 --> 00:53:44,560
Speaker 4: were really good about this, but I worked at one

1122
00:53:44,600 --> 00:53:49,360
Speaker 4: in particular that was horrible with cleaning the soda machine

1123
00:53:49,400 --> 00:53:52,000
Speaker 4: and like there was like a a dead spider in

1124
00:53:52,040 --> 00:53:54,160
Speaker 4: it one time when we took the nozzles off, and

1125
00:53:54,640 --> 00:53:57,840
Speaker 4: you know, there would just be like gnats everywhere and everything, So,

1126
00:53:59,080 --> 00:54:01,440
Speaker 4: you know it, I can see how easily it happens.

1127
00:54:01,440 --> 00:54:04,640
Speaker 4: I don't know how the bugs would necessarily give her

1128
00:54:04,680 --> 00:54:06,680
Speaker 4: an allergic reaction. But did I ever tell you this

1129
00:54:06,760 --> 00:54:08,799
Speaker 4: kind of this happened to me at the airport one time?

1130
00:54:09,120 --> 00:54:12,680
Speaker 4: Kind of so a couple of years ago, I was

1131
00:54:12,840 --> 00:54:15,360
Speaker 4: going to Florida and I got a coffee at I

1132
00:54:15,360 --> 00:54:17,200
Speaker 4: don't even want to say the company name, but I

1133
00:54:17,200 --> 00:54:19,280
Speaker 4: got a coffee at a coffee shop in the airport,

1134
00:54:19,800 --> 00:54:21,959
Speaker 4: and I got an iced coffee and the guy hands

1135
00:54:22,000 --> 00:54:22,279
Speaker 4: it to.

1136
00:54:22,239 --> 00:54:23,359
Speaker 2: Me and I take the lead.

1137
00:54:23,440 --> 00:54:25,600
Speaker 3: I remember this to put cream in it, and there's

1138
00:54:25,719 --> 00:54:29,480
Speaker 3: just a bee, like a bumble bee like top. So

1139
00:54:30,320 --> 00:54:33,800
Speaker 3: I was like, excuse me, and you know, they're busy,

1140
00:54:33,840 --> 00:54:35,400
Speaker 3: so that he was like what And I'm like, well,

1141
00:54:35,400 --> 00:54:37,040
Speaker 3: there's a B in my coffee and I just get

1142
00:54:37,160 --> 00:54:38,520
Speaker 3: new one. And he was like, what do you mean

1143
00:54:38,520 --> 00:54:40,520
Speaker 3: there's a B in your coffee? And I was like,

1144
00:54:40,520 --> 00:54:43,200
Speaker 3: there's literally a bumble bee flo And.

1145
00:54:43,200 --> 00:54:44,960
Speaker 2: You're like, I didn't put it in there? Like where

1146
00:54:45,000 --> 00:54:46,839
Speaker 2: would I go on? Are you sure it was there?

1147
00:54:46,920 --> 00:54:48,879
Speaker 3: I was like, you just handed this to be ten

1148
00:54:48,960 --> 00:54:51,439
Speaker 3: seconds ago, and did I bring my own B into

1149
00:54:51,480 --> 00:54:55,960
Speaker 3: the airport? It's sense, it's past security and everything. That

1150
00:54:55,960 --> 00:54:58,080
Speaker 3: would be a whole new level of psycho to bring

1151
00:54:58,120 --> 00:54:59,960
Speaker 3: a ten So you think you think if it was

1152
00:55:00,080 --> 00:55:02,719
Speaker 3: before security, it would have been totally probable for him

1153
00:55:02,719 --> 00:55:03,840
Speaker 3: to think you brought the be in.

1154
00:55:04,600 --> 00:55:05,239
Speaker 2: No, I don't know.

1155
00:55:05,280 --> 00:55:08,000
Speaker 3: I'm just saying like the entire situation was ridiculous, and

1156
00:55:08,000 --> 00:55:10,080
Speaker 3: then he was like, oh sorry, I'm like I wasn't

1157
00:55:10,120 --> 00:55:12,640
Speaker 3: even I didn't even complain necessarily.

1158
00:55:12,719 --> 00:55:14,520
Speaker 2: I just said, can I have a new co disent?

1159
00:55:14,600 --> 00:55:15,240
Speaker 2: Dead bee?

1160
00:55:15,280 --> 00:55:15,480
Speaker 3: Well?

1161
00:55:15,520 --> 00:55:16,000
Speaker 2: This.

1162
00:55:16,000 --> 00:55:19,319
Speaker 3: This lady didn't really complain either, She just called the

1163
00:55:19,360 --> 00:55:21,880
Speaker 3: company to not like, hey, just wanted to let you know,

1164
00:55:21,960 --> 00:55:23,839
Speaker 3: I have a photo of these dead bugs in this

1165
00:55:23,880 --> 00:55:25,640
Speaker 3: cup that I just drank and I was in the

1166
00:55:25,960 --> 00:55:28,719
Speaker 3: ICU for for three days, right, and what did they

1167
00:55:28,719 --> 00:55:29,759
Speaker 3: What was their response?

1168
00:55:29,800 --> 00:55:32,279
Speaker 4: They were like, take the fifty cent refund and be

1169
00:55:32,440 --> 00:55:35,759
Speaker 4: on with it, Like yeah, right, Like so yeah, she

1170
00:55:36,239 --> 00:55:39,600
Speaker 4: really should look into that, because that's that's messed up

1171
00:55:39,640 --> 00:55:42,640
Speaker 4: their response. I do want to say, in my case,

1172
00:55:42,680 --> 00:55:44,239
Speaker 4: they did make it right and gave me a new

1173
00:55:44,280 --> 00:55:46,880
Speaker 4: coffee out of a new pot that they filled. But

1174
00:55:47,160 --> 00:55:51,279
Speaker 4: the accusation that I put the dead bee is ridiculous.

1175
00:55:51,560 --> 00:55:53,520
Speaker 4: But yeah, at the end of the day, this lady

1176
00:55:53,600 --> 00:55:56,279
Speaker 4: ended up filing a police complaint and the machine's been

1177
00:55:56,280 --> 00:55:59,439
Speaker 4: shut down while it's investigated, I think, rightfully, so because

1178
00:55:59,480 --> 00:56:03,759
Speaker 4: that is gnar really yeah all right, Next, researchers have

1179
00:56:03,880 --> 00:56:07,640
Speaker 4: developed a protein gel that neutralizes alcohol before it enters

1180
00:56:07,640 --> 00:56:13,520
Speaker 4: the bloodstream and essentially makes it harmless. Okay again, why yeah,

1181
00:56:13,600 --> 00:56:16,560
Speaker 4: like this is just telling about it because yeah, it's

1182
00:56:16,560 --> 00:56:20,399
Speaker 4: begging people to abuse alcohol, But.

1183
00:56:20,920 --> 00:56:22,920
Speaker 2: Talk about do you want me to talk about it?

1184
00:56:23,000 --> 00:56:23,480
Speaker 2: What happens?

1185
00:56:23,520 --> 00:56:26,600
Speaker 3: So What happens when you eat food, right, is it

1186
00:56:26,640 --> 00:56:28,680
Speaker 3: goes into your stomach and it goes into the GI

1187
00:56:28,800 --> 00:56:31,160
Speaker 3: track and it gets absorbed into your bloodstream that way.

1188
00:56:31,560 --> 00:56:34,479
Speaker 3: When you drink alcohol, it's kind of opposite. It goes

1189
00:56:34,520 --> 00:56:37,160
Speaker 3: into your stomach when you drink, but it immediately like

1190
00:56:37,280 --> 00:56:41,080
Speaker 3: bypasses your GI track. It gets absorbed into the wall

1191
00:56:41,160 --> 00:56:43,799
Speaker 3: of the stomach and into the bloodstream and it goes

1192
00:56:43,840 --> 00:56:46,440
Speaker 3: directly to the liver. And this is what makes you

1193
00:56:46,440 --> 00:56:48,759
Speaker 3: get drunk. This is why when you drink alcohol you

1194
00:56:48,800 --> 00:56:51,040
Speaker 3: could kind of feel it like right away, because it

1195
00:56:51,080 --> 00:56:55,759
Speaker 3: gets in there fast, right. So their scientific theory is

1196
00:56:55,800 --> 00:57:00,440
Speaker 3: to somehow coat the alcohol in this gel you have

1197
00:57:00,520 --> 00:57:04,319
Speaker 3: to take before you drink, and it will kind of

1198
00:57:04,560 --> 00:57:08,200
Speaker 3: encase it and then put it into your intestines as

1199
00:57:08,200 --> 00:57:11,160
Speaker 3: if it was regular food, and it won't get absorbed

1200
00:57:11,160 --> 00:57:13,959
Speaker 3: into the bloodstream until later. But then it also won't

1201
00:57:14,000 --> 00:57:16,720
Speaker 3: go directly to the liver. But then it also won't

1202
00:57:16,760 --> 00:57:19,800
Speaker 3: get you drunk, which isn't that what the point of

1203
00:57:19,880 --> 00:57:21,160
Speaker 3: drinking alcohol is? Right?

1204
00:57:21,280 --> 00:57:24,920
Speaker 2: Yeah, because otherwise why even bother drinking it? Exactly?

1205
00:57:24,960 --> 00:57:27,200
Speaker 3: I'm like, this is the dumbest shit ever. So this

1206
00:57:27,280 --> 00:57:30,480
Speaker 3: was the quote from from their study, and this company

1207
00:57:30,560 --> 00:57:33,840
Speaker 3: is it's it's quote it's healthy or not to drink.

1208
00:57:33,960 --> 00:57:37,840
Speaker 3: It's not healthy to drink alcohol. However, the gel could

1209
00:57:37,880 --> 00:57:40,840
Speaker 3: be a particular interest to people who don't want to

1210
00:57:40,880 --> 00:57:44,080
Speaker 3: give up alcohol completely but don't want to put a

1211
00:57:44,080 --> 00:57:47,200
Speaker 3: strain on their bodies and are actively seeking the effects.

1212
00:57:47,360 --> 00:57:51,960
Speaker 3: Aren't actively seeking the effects of alcohol. So it's basically

1213
00:57:52,040 --> 00:57:54,080
Speaker 3: for people that just like want to drink with their

1214
00:57:54,120 --> 00:57:56,760
Speaker 3: friends but don't really want to get drunk or alcoholics.

1215
00:57:56,920 --> 00:57:58,920
Speaker 2: But then what's the point of drinking? Get a soda

1216
00:57:59,040 --> 00:58:01,560
Speaker 2: or they may mock hills are everywhere now.

1217
00:58:01,640 --> 00:58:05,200
Speaker 3: I know, I'm like, who just drinks to drink without

1218
00:58:05,320 --> 00:58:09,280
Speaker 3: feeling drunk? It just doesn't even make any sense to me, Like,

1219
00:58:09,320 --> 00:58:14,080
Speaker 3: why would you pay twenty dollars for a Cosmopolitan when

1220
00:58:14,120 --> 00:58:16,520
Speaker 3: you can get like a saltz or water for a

1221
00:58:16,600 --> 00:58:17,920
Speaker 3: dollar fifty, like, or.

1222
00:58:17,920 --> 00:58:20,800
Speaker 4: You could get a fake Cosmo for five bucks with

1223
00:58:21,000 --> 00:58:21,720
Speaker 4: just the juice.

1224
00:58:21,880 --> 00:58:23,320
Speaker 2: It just doesn't even make like that.

1225
00:58:23,600 --> 00:58:27,320
Speaker 3: Let's let's just like make your your I I could

1226
00:58:27,320 --> 00:58:29,800
Speaker 3: almost see it if they were able to do this

1227
00:58:30,000 --> 00:58:34,160
Speaker 3: technology and you were still able to get drunk, that

1228
00:58:34,200 --> 00:58:37,240
Speaker 3: would be that would be understandable.

1229
00:58:36,920 --> 00:58:38,160
Speaker 2: That would be understandable.

1230
00:58:38,160 --> 00:58:39,720
Speaker 3: And when I kept reading it, I was like, this

1231
00:58:39,760 --> 00:58:41,560
Speaker 3: is the dumbest shit I ever heard, Like, why are

1232
00:58:41,640 --> 00:58:42,480
Speaker 3: you even bothering?

1233
00:58:42,600 --> 00:58:44,960
Speaker 2: It's just why take in the calories?

1234
00:58:45,720 --> 00:58:49,919
Speaker 3: I gonna feel it, right, It's just I don't understand it.

1235
00:58:50,360 --> 00:58:52,040
Speaker 2: I just literally don't understand it.

1236
00:58:52,080 --> 00:58:54,920
Speaker 3: And you're right, like, just get nobody likes the taste

1237
00:58:54,920 --> 00:58:56,040
Speaker 3: of alcohol, right, Like.

1238
00:58:56,240 --> 00:58:58,840
Speaker 4: Well, even if you get some people really like the

1239
00:58:58,920 --> 00:59:01,320
Speaker 4: taste of alcohol, you might not, but.

1240
00:59:01,440 --> 00:59:02,080
Speaker 2: I don't think so.

1241
00:59:03,120 --> 00:59:05,960
Speaker 3: I think people like, what if you just gave someone

1242
00:59:05,960 --> 00:59:09,560
Speaker 3: an alcoholic drink and it didn't make you drunk, nobody

1243
00:59:09,560 --> 00:59:10,160
Speaker 3: would like it.

1244
00:59:10,480 --> 00:59:12,520
Speaker 2: I'm telling true. At all I drink.

1245
00:59:12,720 --> 00:59:15,560
Speaker 4: I had a coconut drink in Vegas that was delicious

1246
00:59:15,880 --> 00:59:17,320
Speaker 4: regardless if I got drunk off.

1247
00:59:17,560 --> 00:59:20,280
Speaker 3: I'd like to have a study on this. Actually, I

1248
00:59:20,320 --> 00:59:23,400
Speaker 3: think you're really wrong about it now. I want to

1249
00:59:23,400 --> 00:59:26,640
Speaker 3: have a study because if you test to like, all right,

1250
00:59:27,080 --> 00:59:31,320
Speaker 3: give someone a shot of night quill, right, an adult

1251
00:59:31,440 --> 00:59:34,320
Speaker 3: every adults just like or cough medicine, don't make this

1252
00:59:34,520 --> 00:59:37,360
Speaker 3: like this is gross space right, But then if you're like,

1253
00:59:37,400 --> 00:59:39,640
Speaker 3: oh well, if you Nike quill is probably bad example

1254
00:59:39,640 --> 00:59:41,760
Speaker 3: because you could kind of get a little buzzy on that,

1255
00:59:42,200 --> 00:59:45,080
Speaker 3: but like once you're like, oh, you can get drunk

1256
00:59:45,120 --> 00:59:48,280
Speaker 3: on this, then you kind of tolerate it more the

1257
00:59:48,400 --> 00:59:51,320
Speaker 3: grost case, Like nobody wants to drink cough medicine just

1258
00:59:51,360 --> 00:59:53,400
Speaker 3: to drink it, like they do it because they get drunk.

1259
00:59:53,480 --> 00:59:57,720
Speaker 2: You're just not right, except no, I'm actually very right.

1260
00:59:58,640 --> 01:00:01,480
Speaker 4: You're just not all right. This next story is one

1261
01:00:01,480 --> 01:00:02,560
Speaker 4: of my favorite stories of the.

1262
01:00:02,640 --> 01:00:04,680
Speaker 3: Well then, like, so would you just like sit there

1263
01:00:04,680 --> 01:00:08,120
Speaker 3: and like drink hair spray? Seriously, Well, if you didn't

1264
01:00:08,120 --> 01:00:12,840
Speaker 3: get drunk, No, you're not understanding drinking straight vodka. Yes,

1265
01:00:13,040 --> 01:00:14,800
Speaker 3: might taste like hair spray, but if you have a

1266
01:00:14,800 --> 01:00:18,000
Speaker 3: well crafted cocktail, you can't always taste the alcohol in it,

1267
01:00:18,160 --> 01:00:21,280
Speaker 3: and the drink itself might be delicious and you might

1268
01:00:21,320 --> 01:00:24,880
Speaker 3: not taste that there's alcohol in it. Like, I understand

1269
01:00:24,880 --> 01:00:28,080
Speaker 3: your argument with straight alcohol, but many drinks are cocktails

1270
01:00:28,080 --> 01:00:32,000
Speaker 3: with your other juices and everything together that actually mask

1271
01:00:32,080 --> 01:00:34,480
Speaker 3: the flavor of the alcohol. So you're getting the effect

1272
01:00:34,520 --> 01:00:38,200
Speaker 3: that you're also still having a delicious drink. Yeah, I

1273
01:00:38,240 --> 01:00:40,160
Speaker 3: get that, I just don't I don't understand why you would,

1274
01:00:40,240 --> 01:00:43,560
Speaker 3: because at that point, why even make flavors of it

1275
01:00:43,600 --> 01:00:45,920
Speaker 3: if you're just gonna have to tolerate like it just

1276
01:00:45,960 --> 01:00:47,080
Speaker 3: doesn't even make any sense.

1277
01:00:47,720 --> 01:00:50,680
Speaker 4: People genuinely like the way things taste sometimes and that's

1278
01:00:50,680 --> 01:00:53,040
Speaker 4: why they want it. You just don't like alcohol, so

1279
01:00:53,080 --> 01:00:55,160
Speaker 4: you don't understand it anyway.

1280
01:00:55,240 --> 01:00:57,400
Speaker 3: This next story is one of let's talk about this

1281
01:00:57,440 --> 01:01:00,840
Speaker 3: next story, which is another stupid don't miss shit ever.

1282
01:01:00,920 --> 01:01:02,640
Speaker 4: Think if this is one of my favorite stories of

1283
01:01:02,680 --> 01:01:07,320
Speaker 4: the week. Olympians get so freaky that at Farris Olympics

1284
01:01:07,320 --> 01:01:10,840
Speaker 4: this year they had to introduce anti sex beds. So

1285
01:01:11,360 --> 01:01:12,959
Speaker 4: these beds are twin sized beds.

1286
01:01:13,000 --> 01:01:16,360
Speaker 3: They essentially looked like two hollowed out cardboard boxes pushed

1287
01:01:16,360 --> 01:01:18,720
Speaker 3: together with a thin mattress pad on top of it.

1288
01:01:19,120 --> 01:01:21,320
Speaker 4: But it's alleged that it could only hold the weight

1289
01:01:21,400 --> 01:01:24,160
Speaker 4: of one person, so therefore, if two people were on

1290
01:01:24,240 --> 01:01:27,600
Speaker 4: top of the bed, or there was any movement associated

1291
01:01:27,600 --> 01:01:30,600
Speaker 4: with sexual activity, the bed would collapse in on itself

1292
01:01:31,080 --> 01:01:34,040
Speaker 4: to prevent sex. So all these other Olympians are coming

1293
01:01:34,040 --> 01:01:36,960
Speaker 4: forward being like this is stupid, thanks for giving us

1294
01:01:37,000 --> 01:01:39,720
Speaker 4: these shitty beds before like these huge performances of our

1295
01:01:39,760 --> 01:01:41,880
Speaker 4: lives that are gonna mess up our backs because guess

1296
01:01:41,920 --> 01:01:45,200
Speaker 4: what people are gonna have sex anywhere they can. It

1297
01:01:45,200 --> 01:01:47,120
Speaker 4: doesn't matter if the bed's comfortable or not.

1298
01:01:47,280 --> 01:01:49,800
Speaker 3: Do these people like know how humans came to be?

1299
01:01:50,360 --> 01:01:54,400
Speaker 3: But like, like we've only had beds in a civilized

1300
01:01:54,400 --> 01:01:56,960
Speaker 3: culture for X amount of years, right, Like people used

1301
01:01:57,000 --> 01:01:59,840
Speaker 3: to live in caves on the fricking floor and somehow

1302
01:01:59,840 --> 01:02:02,840
Speaker 3: are species was able to survive And that's because they

1303
01:02:02,880 --> 01:02:07,760
Speaker 3: were having sex right on a dirty floor in a cave.

1304
01:02:08,600 --> 01:02:10,680
Speaker 3: You mean to tell me that, Like they can't just

1305
01:02:10,760 --> 01:02:13,320
Speaker 3: like have sex on the floor like next to that

1306
01:02:13,440 --> 01:02:15,680
Speaker 3: shitty bed or even figure it out somehow.

1307
01:02:15,800 --> 01:02:19,080
Speaker 4: So one olympian said, quote, I've seen people having sex

1308
01:02:19,160 --> 01:02:21,840
Speaker 4: right out in the open on the grass between buildings.

1309
01:02:21,880 --> 01:02:25,439
Speaker 2: People are getting down and dirty, Like, why can't they

1310
01:02:25,440 --> 01:02:27,560
Speaker 2: have sex? They're grown ups.

1311
01:02:27,360 --> 01:02:31,439
Speaker 4: Exactly, They're consenting adults. They all have this insane adrenaline rush.

1312
01:02:31,520 --> 01:02:32,520
Speaker 4: Just let them get it out.

1313
01:02:32,560 --> 01:02:33,160
Speaker 2: Who cares?

1314
01:02:33,760 --> 01:02:36,080
Speaker 3: Right, Like, aren't they just trying to like release some

1315
01:02:36,160 --> 01:02:38,640
Speaker 3: of the pressure before they're going on stage or whatever

1316
01:02:38,680 --> 01:02:41,360
Speaker 3: they're doing, right, because I guess they'll, like the Olympics

1317
01:02:41,520 --> 01:02:44,240
Speaker 3: don't want the image of all these like mass orgies

1318
01:02:44,280 --> 01:02:45,880
Speaker 3: happening under their organization.

1319
01:02:46,000 --> 01:02:48,920
Speaker 4: But who cares and makes them happy. And as we

1320
01:02:49,040 --> 01:02:52,560
Speaker 4: learn from legally blood, people who exercise are happy because

1321
01:02:52,600 --> 01:02:53,520
Speaker 4: in dormans.

1322
01:02:55,400 --> 01:02:59,760
Speaker 2: Make you happy, so and happy people just don't kill people.

1323
01:03:00,160 --> 01:03:01,760
Speaker 2: So anyway, no.

1324
01:03:01,880 --> 01:03:03,800
Speaker 3: And happy people get gold medals.

1325
01:03:04,240 --> 01:03:06,760
Speaker 4: I just I just think this is so ridiculous. They're

1326
01:03:06,840 --> 01:03:10,000
Speaker 4: saying the beds aren't for this reason, they're for sustainability

1327
01:03:10,040 --> 01:03:14,120
Speaker 4: purposes because they're one hundred percent recyclable. It's like, yeah, okay, yeah,

1328
01:03:14,160 --> 01:03:16,880
Speaker 4: that's the best thing. Is just like to sleep in

1329
01:03:16,920 --> 01:03:19,520
Speaker 4: a cardboard box right before you're about to like win

1330
01:03:19,560 --> 01:03:22,800
Speaker 4: a gold That's what I'm thinking, Like it really, who

1331
01:03:22,920 --> 01:03:26,840
Speaker 4: cares about their freaky activities behind the scenes, Like if

1332
01:03:27,240 --> 01:03:29,600
Speaker 4: they're consenting and they want to do it, just let

1333
01:03:29,640 --> 01:03:31,440
Speaker 4: them do it. If they want to have orgies or

1334
01:03:31,480 --> 01:03:33,920
Speaker 4: whatever they want to do, like it makes them happy.

1335
01:03:34,520 --> 01:03:37,200
Speaker 4: Now you're making them sleep on these uncomfortable beds that

1336
01:03:37,240 --> 01:03:40,200
Speaker 4: are probably gonna affect their chances of placing. You know,

1337
01:03:41,000 --> 01:03:44,160
Speaker 4: you know, hundreds of these athletes compete and only three

1338
01:03:44,200 --> 01:03:45,600
Speaker 4: of them place in each category.

1339
01:03:45,680 --> 01:03:46,600
Speaker 2: Let's think about this.

1340
01:03:47,400 --> 01:03:49,640
Speaker 3: I could see this if this if we were talking

1341
01:03:49,680 --> 01:03:53,040
Speaker 3: about like a boarding school with children that were ages

1342
01:03:53,200 --> 01:03:56,840
Speaker 3: thirteen to seventeen, I would be like okay, like they

1343
01:03:56,840 --> 01:04:00,440
Speaker 3: don't want the kids having sex, they're too young, this

1344
01:04:00,520 --> 01:04:02,280
Speaker 3: and that, Like you could almost see that, but when

1345
01:04:02,280 --> 01:04:06,720
Speaker 3: you're talking about grown ups, it's just so controlling and

1346
01:04:06,800 --> 01:04:08,040
Speaker 3: weird to eat it.

1347
01:04:08,160 --> 01:04:11,880
Speaker 2: So bird, it is so weird. But I don't know.

1348
01:04:12,000 --> 01:04:15,320
Speaker 4: I'm gonna be I really like watching the Olympics, so

1349
01:04:15,320 --> 01:04:17,520
Speaker 4: I'm gonna try to follow a couple of athletes before

1350
01:04:17,520 --> 01:04:20,480
Speaker 4: and to see if they give any fun scenes info

1351
01:04:20,560 --> 01:04:23,439
Speaker 4: about this, because I just think it's so funny. It's

1352
01:04:23,440 --> 01:04:28,160
Speaker 4: so ridiculous. All right, all the death news. Chinese scientists

1353
01:04:28,320 --> 01:04:32,200
Speaker 4: move closer to bringing cryogenically frozen humans back to life

1354
01:04:32,240 --> 01:04:35,040
Speaker 4: after brain tissue is thawed without damage.

1355
01:04:35,600 --> 01:04:37,600
Speaker 3: See, I told you there is a theme that, like,

1356
01:04:37,680 --> 01:04:39,360
Speaker 3: why the hell are we doing this shit?

1357
01:04:39,480 --> 01:04:39,600
Speaker 4: Right?

1358
01:04:39,680 --> 01:04:43,760
Speaker 3: It's happened in Austin powers he freezes himself and comes back. Yeah,

1359
01:04:43,840 --> 01:04:46,320
Speaker 3: And isn't like Walt Disney frozen in the top of

1360
01:04:46,360 --> 01:04:49,760
Speaker 3: the Cinderella's castle. It wasn't that like a huge rumor

1361
01:04:49,800 --> 01:04:51,200
Speaker 3: going yeah for a while.

1362
01:04:52,400 --> 01:04:53,840
Speaker 2: So so cryogenics.

1363
01:04:54,080 --> 01:04:56,280
Speaker 3: I feel like we wrote an article about this at

1364
01:04:56,280 --> 01:04:57,439
Speaker 3: some point in the Grosser room.

1365
01:04:57,640 --> 01:04:58,360
Speaker 2: I don't remember.

1366
01:04:59,320 --> 01:05:02,400
Speaker 3: I totally remember touching on it at some point, there's

1367
01:05:02,520 --> 01:05:05,560
Speaker 3: some at least they're all over the world, but there's

1368
01:05:05,640 --> 01:05:10,520
Speaker 3: one that had Okay, it costs twenty eight thousand dollars

1369
01:05:10,560 --> 01:05:13,479
Speaker 3: to get this done. When you die that think about

1370
01:05:13,480 --> 01:05:16,840
Speaker 3: how much money that is. And so far there's like

1371
01:05:17,000 --> 01:05:20,440
Speaker 3: almost two thousand people that are cryogenically frozen. Well, this

1372
01:05:20,520 --> 01:05:22,800
Speaker 3: is the thing that this technology comes to light one day.

1373
01:05:22,840 --> 01:05:25,520
Speaker 3: This isn't one lab in Michigan, Is that confirmed? Like

1374
01:05:25,600 --> 01:05:26,920
Speaker 3: the only lab doing this?

1375
01:05:27,160 --> 01:05:28,560
Speaker 2: No, it's all over the world.

1376
01:05:28,720 --> 01:05:30,880
Speaker 4: Okay, so just that this one lab in Michigan, it's

1377
01:05:30,920 --> 01:05:33,520
Speaker 4: twenty eight thousand dollars and there's one nine hundred and

1378
01:05:33,560 --> 01:05:37,360
Speaker 4: seventy five permanent residents. Their numbers have tripled since two

1379
01:05:37,400 --> 01:05:38,280
Speaker 4: thousand and six.

1380
01:05:38,800 --> 01:05:42,360
Speaker 3: Just think about this, that they've convinced almost two thousand

1381
01:05:42,440 --> 01:05:46,120
Speaker 3: people that this that it's worth to give thirty almost

1382
01:05:46,160 --> 01:05:47,480
Speaker 3: thirty thousand dollars to them.

1383
01:05:47,560 --> 01:05:49,960
Speaker 2: Like how ridiculous is I Mean, if you're dead anyway,

1384
01:05:50,000 --> 01:05:51,640
Speaker 2: why not give it a shot?

1385
01:05:51,680 --> 01:05:55,520
Speaker 3: You know, why do you think that you're that important

1386
01:05:55,520 --> 01:05:57,160
Speaker 3: that you need to be brought back to life?

1387
01:05:57,320 --> 01:05:58,560
Speaker 2: Like, get over yourself.

1388
01:05:58,840 --> 01:06:02,320
Speaker 3: Seriously, I'm so annoyed by this guy. Gotta do they

1389
01:06:02,520 --> 01:06:06,600
Speaker 3: so they were able to unfreeze brain tissue and not

1390
01:06:06,720 --> 01:06:09,160
Speaker 3: only was the brain tissue not damaged, but they were

1391
01:06:09,200 --> 01:06:13,280
Speaker 3: able to restore its function. Why like and they say

1392
01:06:13,320 --> 01:06:16,160
Speaker 3: it's because they want to be able to like develop

1393
01:06:16,240 --> 01:06:17,200
Speaker 3: drugs or this or that.

1394
01:06:17,360 --> 01:06:20,200
Speaker 2: Like, you know what, this is just terrible. This is

1395
01:06:20,880 --> 01:06:21,960
Speaker 2: to add to the.

1396
01:06:22,120 --> 01:06:25,000
Speaker 3: Terribleness that's been going on for the past couple of years.

1397
01:06:25,040 --> 01:06:27,640
Speaker 3: Just like add this to the list of things that

1398
01:06:27,680 --> 01:06:31,480
Speaker 3: should never happen. Like, when you start messing with the

1399
01:06:31,520 --> 01:06:35,440
Speaker 3: balance of life, I'm gonna sound like some hippie like

1400
01:06:35,600 --> 01:06:39,080
Speaker 3: circle of life thing. There's people born every day and

1401
01:06:39,080 --> 01:06:41,479
Speaker 3: there's people that die every day that then you're gonna

1402
01:06:41,520 --> 01:06:43,360
Speaker 3: have all these people that are coming back to life

1403
01:06:43,400 --> 01:06:45,640
Speaker 3: that just have so happen to have enough money to

1404
01:06:45,680 --> 01:06:48,560
Speaker 3: afford to get this done. And like it's just it's

1405
01:06:48,560 --> 01:06:50,400
Speaker 3: gonna you don't mess with stuff like that.

1406
01:06:50,440 --> 01:06:53,880
Speaker 2: It's just not good. It's just not necessary. It's just

1407
01:06:53,960 --> 01:06:55,040
Speaker 2: not necessary at all.

1408
01:06:55,080 --> 01:06:58,080
Speaker 3: And trust me, there's like there's definitely people like Walt

1409
01:06:58,120 --> 01:07:00,640
Speaker 3: Disney like, please come back and make this world better

1410
01:07:00,640 --> 01:07:03,280
Speaker 3: because it's starting to suck whatever, But like you can't,

1411
01:07:03,560 --> 01:07:05,040
Speaker 3: you can't, you can't do that.

1412
01:07:05,160 --> 01:07:07,240
Speaker 2: It's just like it's just wrong.

1413
01:07:07,600 --> 01:07:10,840
Speaker 3: Who do you decide whose life is worth living longer?

1414
01:07:10,920 --> 01:07:13,480
Speaker 2: You know, the richest of people decides.

1415
01:07:14,360 --> 01:07:16,680
Speaker 4: All right, on the question of the day. Every Friday

1416
01:07:16,760 --> 01:07:19,320
Speaker 4: at the at mother No's death Instagram, you could ask

1417
01:07:19,360 --> 01:07:21,240
Speaker 4: a little question. We put it on the story and

1418
01:07:21,280 --> 01:07:23,920
Speaker 4: it's up for twenty four hours. All right, one, have

1419
01:07:24,040 --> 01:07:27,160
Speaker 4: you ever seen fetus in fetu in real life? Well?

1420
01:07:27,320 --> 01:07:29,120
Speaker 2: Do you want to explain that for people that don't

1421
01:07:29,120 --> 01:07:29,560
Speaker 2: know what it is?

1422
01:07:30,320 --> 01:07:33,960
Speaker 3: Fetus in fetu is super super rare. So I'm going

1423
01:07:33,960 --> 01:07:36,200
Speaker 3: to start off with saying, hell, no, I've never seen it,

1424
01:07:36,240 --> 01:07:37,960
Speaker 3: but I wish I've seen it. There's only been like

1425
01:07:37,960 --> 01:07:41,600
Speaker 3: two hundred cases of it reported worldwide. But it's this

1426
01:07:41,720 --> 01:07:46,680
Speaker 3: weird phenomenon that happens with a certain twin pregnancies where

1427
01:07:46,840 --> 01:07:49,800
Speaker 3: one of the twins does not develop properly and it

1428
01:07:49,920 --> 01:07:55,120
Speaker 3: ends up getting like enveloped inside of another twin as

1429
01:07:55,160 --> 01:08:00,680
Speaker 3: it's forming. So when the twin is born, it it's

1430
01:08:00,760 --> 01:08:04,200
Speaker 3: usually caught as like an abdominal mass in an infant,

1431
01:08:04,400 --> 01:08:07,480
Speaker 3: and then when they take the mass out, there's this

1432
01:08:07,840 --> 01:08:11,600
Speaker 3: really deformed looking fetus inside of the mass inside of

1433
01:08:11,680 --> 01:08:16,400
Speaker 3: the baby. There are some because a lot of people

1434
01:08:16,439 --> 01:08:18,840
Speaker 3: go back and forth that is this just some kind

1435
01:08:18,880 --> 01:08:22,040
Speaker 3: of like highly developed teratoma, which is another kind of

1436
01:08:22,760 --> 01:08:26,080
Speaker 3: a more common tumor that people get, and that one

1437
01:08:26,160 --> 01:08:30,160
Speaker 3: arises from germ cells, so males can get if females

1438
01:08:30,200 --> 01:08:31,960
Speaker 3: get it more commonly in the ovaries. I don't know

1439
01:08:31,960 --> 01:08:33,800
Speaker 3: if you've ever heard of an ovary that has like

1440
01:08:33,880 --> 01:08:38,840
Speaker 3: hair and teeth in it. So your ovary has tissues

1441
01:08:38,840 --> 01:08:41,479
Speaker 3: in it to form a human. That's that's what your

1442
01:08:41,520 --> 01:08:46,240
Speaker 3: ovaries do. But this develops in an ovary of a female,

1443
01:08:46,280 --> 01:08:49,960
Speaker 3: but it doesn't require a sperm. So all it is

1444
01:08:49,960 --> 01:08:52,240
Speaker 3: is like this tumor that grows out of all of

1445
01:08:52,280 --> 01:08:55,439
Speaker 3: these elements that are supposed to form a human. But

1446
01:08:55,720 --> 01:08:58,479
Speaker 3: it's like this haphazard arrangement, so you'll just get like

1447
01:08:58,960 --> 01:09:01,559
Speaker 3: there might be like pieces the thyroid tissue and pieces

1448
01:09:01,600 --> 01:09:04,559
Speaker 3: of hair, but it doesn't like look anything like a human.

1449
01:09:04,960 --> 01:09:06,640
Speaker 3: There might be even a tooth in it. This is

1450
01:09:06,680 --> 01:09:10,599
Speaker 3: a terotoma. But in fetus in fetu, when you open

1451
01:09:10,640 --> 01:09:13,439
Speaker 3: this tumor, it like kind of looks like a human,

1452
01:09:13,560 --> 01:09:16,080
Speaker 3: like well formed legs and feet and things like that,

1453
01:09:16,439 --> 01:09:19,040
Speaker 3: so they think that like it could possibly be this

1454
01:09:19,160 --> 01:09:25,080
Speaker 3: highly like sophisticated form of a terratoma, or that it

1455
01:09:25,200 --> 01:09:28,360
Speaker 3: is just like a twin absorbed inside of a twin. Now,

1456
01:09:28,439 --> 01:09:31,880
Speaker 3: it's really cool because there's always these cases, like like

1457
01:09:31,920 --> 01:09:34,360
Speaker 3: in India or something that a woman's like sixty eight

1458
01:09:34,400 --> 01:09:36,800
Speaker 3: years old and she has this tumor inside of her

1459
01:09:37,200 --> 01:09:39,240
Speaker 3: it's like the first time she realized it. Goes to

1460
01:09:39,320 --> 01:09:41,240
Speaker 3: the doctors and they cut her open and they find

1461
01:09:41,240 --> 01:09:43,840
Speaker 3: this like mummified fetus inside her body that's been there

1462
01:09:43,880 --> 01:09:46,639
Speaker 3: her whole entire life, right, Like you've heard cases like that.

1463
01:09:47,160 --> 01:09:49,880
Speaker 4: But I mean to answer your question, no, I wish

1464
01:09:49,960 --> 01:09:52,439
Speaker 4: I've seen it. Do they know when the baby's born

1465
01:09:52,520 --> 01:09:54,479
Speaker 4: that that's the dealer? It has to wait till it

1466
01:09:54,560 --> 01:09:58,080
Speaker 4: presents itself. Well, it just depends because you have you

1467
01:09:58,840 --> 01:10:02,160
Speaker 4: always think about meta from like living in America and

1468
01:10:02,280 --> 01:10:04,599
Speaker 4: just like how things normally go for all of the people.

1469
01:10:04,680 --> 01:10:06,040
Speaker 2: You know, Oh, you.

1470
01:10:05,960 --> 01:10:07,960
Speaker 3: Get pregnant and you find out right away when you're

1471
01:10:08,040 --> 01:10:10,800
Speaker 3: like four point five weeks, and you go to ultrasounds

1472
01:10:10,840 --> 01:10:12,519
Speaker 3: every all the time, and this, that and the other.

1473
01:10:12,600 --> 01:10:15,120
Speaker 3: But like in some countries, people go through an entire

1474
01:10:15,160 --> 01:10:17,320
Speaker 3: pregnancy and never get an ultrasound or anything. They don't

1475
01:10:17,360 --> 01:10:21,760
Speaker 3: know they're pregnant with twins, you know, so I feel

1476
01:10:21,760 --> 01:10:24,240
Speaker 3: like it would be less likely to happen here, especially

1477
01:10:24,560 --> 01:10:28,400
Speaker 3: when a person's like really monitored, even especially if they're

1478
01:10:28,400 --> 01:10:30,760
Speaker 3: getting like IVF for some kind of fertility treatment, that

1479
01:10:30,760 --> 01:10:33,240
Speaker 3: they're going to the doctor all the time. They would

1480
01:10:33,280 --> 01:10:35,320
Speaker 3: know that you were pregnant with twins or whatever, like,

1481
01:10:35,560 --> 01:10:38,439
Speaker 3: it would probably be figured out way earlier. And then

1482
01:10:38,520 --> 01:10:41,240
Speaker 3: another thing is if a baby, a young baby here,

1483
01:10:41,600 --> 01:10:44,439
Speaker 3: has any kind of mass that's that's obvious, that sticking

1484
01:10:44,479 --> 01:10:47,240
Speaker 3: out of the abdomen, they would immediately get it taken

1485
01:10:47,280 --> 01:10:50,839
Speaker 3: care of, whereas in other countries that either the people

1486
01:10:50,960 --> 01:10:55,080
Speaker 3: are living in like low socioeconomic areas or they just

1487
01:10:55,600 --> 01:10:58,559
Speaker 3: some places are so rural that there's like not a

1488
01:10:58,600 --> 01:11:01,120
Speaker 3: hospital for six hours or something. You see these kids

1489
01:11:01,200 --> 01:11:03,640
Speaker 3: growing this mass for years, and then all of a

1490
01:11:03,680 --> 01:11:06,360
Speaker 3: sudden they finally go to the doctor or finally able

1491
01:11:06,360 --> 01:11:07,960
Speaker 3: to afford to go to the doctor, and then they

1492
01:11:08,000 --> 01:11:10,839
Speaker 3: find out that they have this like a mammified fetus

1493
01:11:10,880 --> 01:11:12,040
Speaker 3: living inside their bodies.

1494
01:11:12,600 --> 01:11:15,519
Speaker 2: Yeah, it's super interesting. Yeah, it is all right.

1495
01:11:15,640 --> 01:11:22,800
Speaker 4: Would you ever consider another job in the medical field.

1496
01:11:24,040 --> 01:11:25,800
Speaker 2: I do like stuff.

1497
01:11:25,479 --> 01:11:29,000
Speaker 3: That happens in the er but I don't think I'd

1498
01:11:29,000 --> 01:11:31,200
Speaker 3: ever work in that situation because I feel like I

1499
01:11:31,200 --> 01:11:34,840
Speaker 3: would be too nervous working with people that were like live.

1500
01:11:34,800 --> 01:11:36,880
Speaker 2: And screaming in pain and for their life.

1501
01:11:37,479 --> 01:11:40,840
Speaker 3: I am interested in seeing videos and photos of it,

1502
01:11:40,920 --> 01:11:43,559
Speaker 3: but I don't know if I would actually be like

1503
01:11:43,760 --> 01:11:47,160
Speaker 3: cool in that kind of a situation. I would probably

1504
01:11:47,200 --> 01:11:49,439
Speaker 3: if I if I had to pick one thing, it

1505
01:11:49,479 --> 01:11:56,280
Speaker 3: would probably be like dermatology and aesthetic, like botox injections,

1506
01:11:56,400 --> 01:12:00,280
Speaker 3: any kind of like skincare, sofia like that. That be

1507
01:12:00,360 --> 01:12:05,000
Speaker 3: what I would mostly be into, I think, besides, because

1508
01:12:05,040 --> 01:12:08,439
Speaker 3: I would feel comfortable doing that on Live People. Everything else,

1509
01:12:08,600 --> 01:12:11,519
Speaker 3: I just I wouldn't really be into it on Live People.

1510
01:12:12,040 --> 01:12:15,720
Speaker 3: I want to be like the happy person. Not I

1511
01:12:15,720 --> 01:12:18,240
Speaker 3: don't want to see you on on your worst day,

1512
01:12:18,280 --> 01:12:20,439
Speaker 3: you know, Like I want you to come in and

1513
01:12:20,520 --> 01:12:22,400
Speaker 3: like have a bunch of frown lines and leave and

1514
01:12:22,439 --> 01:12:22,760
Speaker 3: be like.

1515
01:12:22,760 --> 01:12:24,479
Speaker 2: Yeah, you made me look good like that.

1516
01:12:24,479 --> 01:12:27,559
Speaker 3: That's I'd be more into that, all right, Last, did

1517
01:12:27,560 --> 01:12:29,759
Speaker 3: you guys eat any good food on your trip?

1518
01:12:32,680 --> 01:12:33,400
Speaker 2: I did, did you?

1519
01:12:34,120 --> 01:12:36,280
Speaker 4: I don't think I had a bad meal on the

1520
01:12:36,439 --> 01:12:40,120
Speaker 4: entire trip, except my one breakfast in Vegas that it

1521
01:12:40,200 --> 01:12:43,000
Speaker 4: wasn't even a bad meal. It was just so expensive

1522
01:12:43,120 --> 01:12:47,040
Speaker 4: for diner food. I was kind of mind blown how

1523
01:12:47,120 --> 01:12:53,240
Speaker 4: much money food costs in Vegas and California compared to here.

1524
01:12:53,479 --> 01:12:57,880
Speaker 4: I was surprised in Vegas because, like, we went to

1525
01:12:57,960 --> 01:13:01,120
Speaker 4: a buffet at Caesar's for a day and it was

1526
01:13:01,160 --> 01:13:03,400
Speaker 4: like over two hundred dollars just for two of us,

1527
01:13:03,439 --> 01:13:05,599
Speaker 4: and we didn't even get alcohol or anything. That was

1528
01:13:05,680 --> 01:13:09,360
Speaker 4: just for soda and food. I mean, it was and

1529
01:13:09,439 --> 01:13:12,160
Speaker 4: I delicious, but it's a lot.

1530
01:13:12,439 --> 01:13:14,360
Speaker 3: Like I told you, Gabe and I brought the girls

1531
01:13:14,360 --> 01:13:19,599
Speaker 3: to some Italian restaurant in California, and I didn't think

1532
01:13:19,640 --> 01:13:22,400
Speaker 3: it was like a high level place. I felt like

1533
01:13:22,439 --> 01:13:24,479
Speaker 3: it was just kind of like, I mean, it was

1534
01:13:24,520 --> 01:13:27,879
Speaker 3: a nicer restaurant, but it wasn't like the nicest restaurant

1535
01:13:27,960 --> 01:13:28,280
Speaker 3: kind of.

1536
01:13:28,920 --> 01:13:30,680
Speaker 2: And me and Gabe got meals and the.

1537
01:13:30,600 --> 01:13:33,400
Speaker 3: Girls, you know, they eat buttered noodles and a bite

1538
01:13:33,479 --> 01:13:34,040
Speaker 3: of our meal.

1539
01:13:34,800 --> 01:13:37,280
Speaker 2: No alcohol. It was what did I say it was?

1540
01:13:37,320 --> 01:13:39,599
Speaker 3: It was like three hundred and some dollars.

1541
01:13:39,760 --> 01:13:42,040
Speaker 2: Yeah, that's outrageous when you have two little kids.

1542
01:13:42,080 --> 01:13:44,519
Speaker 3: And that was with the tip and everything. But three

1543
01:13:44,600 --> 01:13:46,479
Speaker 3: hundred dollars for a meal is like a.

1544
01:13:46,360 --> 01:13:47,880
Speaker 2: Lot for four people.

1545
01:13:47,920 --> 01:13:49,800
Speaker 3: I just thought that that was kind of outrageous.

1546
01:13:49,960 --> 01:13:54,639
Speaker 2: My favorite meal we had the entire trip was we

1547
01:13:54,840 --> 01:13:55,839
Speaker 2: when we were in Denver.

1548
01:13:55,920 --> 01:13:58,000
Speaker 4: The first night we went to this place called the

1549
01:13:58,040 --> 01:14:01,960
Speaker 4: Buckhorn Exchange, which was a super restaurant, but we shared

1550
01:14:02,000 --> 01:14:05,080
Speaker 4: a bison prime rib and that was incredible.

1551
01:14:05,840 --> 01:14:09,200
Speaker 2: It was so delicious. What are the steakhouse that we ate?

1552
01:14:09,560 --> 01:14:13,360
Speaker 3: And then graduation Louise Lowies that place was all that

1553
01:14:13,479 --> 01:14:14,479
Speaker 3: was awesome like that.

1554
01:14:14,479 --> 01:14:17,240
Speaker 2: That was Yeah, that was in Taie for my favor.

1555
01:14:17,280 --> 01:14:19,200
Speaker 4: I mean, I also had a prime rib that I

1556
01:14:19,360 --> 01:14:21,559
Speaker 4: ate so much red meat last week I felt like shit,

1557
01:14:21,640 --> 01:14:24,160
Speaker 4: That's probably why I had my horrible headache on Tuesday

1558
01:14:24,200 --> 01:14:27,679
Speaker 4: because all I ate was like red meat and cheese

1559
01:14:27,720 --> 01:14:30,400
Speaker 4: and cured meats and everything you're not supposed to eat

1560
01:14:30,400 --> 01:14:32,080
Speaker 4: when you have migraines.

1561
01:14:32,280 --> 01:14:35,160
Speaker 3: So yeah, that place, that place was good. We had

1562
01:14:35,200 --> 01:14:37,640
Speaker 3: a really good waiter and it just it was like

1563
01:14:37,680 --> 01:14:39,719
Speaker 3: a nice, nice meal for our family.

1564
01:14:39,920 --> 01:14:43,719
Speaker 4: Yeah, Gabe's graduation dinner at Lowry's was, Oh my god,

1565
01:14:43,760 --> 01:14:44,920
Speaker 4: that place was really good.

1566
01:14:45,000 --> 01:14:46,400
Speaker 2: I'm really happy we went there.

1567
01:14:47,240 --> 01:14:51,120
Speaker 3: And then I had a good gluten free breakfast in Anaheim.

1568
01:14:51,160 --> 01:14:54,679
Speaker 3: I guess it was near Disneyland. Oh it's that place

1569
01:14:54,760 --> 01:14:55,599
Speaker 3: called Snooze.

1570
01:14:55,640 --> 01:14:56,599
Speaker 2: Yeah, that place was good.

1571
01:14:56,680 --> 01:14:59,080
Speaker 4: I believe that was the same place I went at

1572
01:14:59,080 --> 01:15:01,560
Speaker 4: the Train stage in Colorado.

1573
01:15:01,920 --> 01:15:06,160
Speaker 3: They had gluten free pancake pineapple upside down and it

1574
01:15:06,200 --> 01:15:08,680
Speaker 3: was good. It wasn't like it was like a good

1575
01:15:08,960 --> 01:15:11,760
Speaker 3: It tasted like pretty normal. So yeah, yeah, I mean

1576
01:15:11,840 --> 01:15:15,320
Speaker 3: every pretty decent really everywhere. Like even the night we

1577
01:15:15,400 --> 01:15:18,479
Speaker 3: got back from Disneyland, we just ordered on door Dash

1578
01:15:18,520 --> 01:15:23,160
Speaker 3: this Mediterranean kebab place for us, and it was also

1579
01:15:23,400 --> 01:15:26,519
Speaker 3: just the most delicious, Like I really genuinely did not

1580
01:15:26,600 --> 01:15:28,639
Speaker 3: have a bad meali the entire time. My brunch at

1581
01:15:28,640 --> 01:15:32,320
Speaker 3: Beverly Hills Hotel was absolutely incredible. I sent you a

1582
01:15:32,360 --> 01:15:36,599
Speaker 3: picture of my little cappuccino. No, definitely, how.

1583
01:15:36,560 --> 01:15:37,120
Speaker 2: Much was that?

1584
01:15:38,200 --> 01:15:40,040
Speaker 3: How much was the coffee twenty dollars?

1585
01:15:40,280 --> 01:15:43,040
Speaker 4: No, it was twelve, which is a lot for a cappuccino. Yeah,

1586
01:15:43,080 --> 01:15:45,679
Speaker 4: that is all it is. But Starbucks is ten dollars.

1587
01:15:45,840 --> 01:15:48,400
Speaker 4: Like think about it, they're not here.

1588
01:15:48,880 --> 01:15:49,160
Speaker 2: Nope.

1589
01:15:49,720 --> 01:15:52,560
Speaker 4: The drink you get at Starbucks is like nine dollars.

1590
01:15:52,880 --> 01:15:56,759
Speaker 4: I don't know. Yeah, I mean why it's absolutely ridiculous

1591
01:15:56,800 --> 01:15:58,160
Speaker 4: and it's really like not that good.

1592
01:15:58,200 --> 01:15:59,920
Speaker 2: Anymore. So, Yeah, I don't know.

1593
01:16:00,200 --> 01:16:04,240
Speaker 4: That was good and like that property was so absolutely incredible.

1594
01:16:04,840 --> 01:16:08,639
Speaker 4: It really hurts my soul that it's cheapest eleven hundred

1595
01:16:08,640 --> 01:16:11,080
Speaker 4: dollars a night to stay there, because I certainly.

1596
01:16:10,760 --> 01:16:12,280
Speaker 2: Will never that's never happening.

1597
01:16:13,479 --> 01:16:16,040
Speaker 4: Yeah, so it was cool to like go and get

1598
01:16:16,439 --> 01:16:18,080
Speaker 4: you know, brunch and just walk around.

1599
01:16:18,160 --> 01:16:19,240
Speaker 2: Didn't Whitney die there?

1600
01:16:20,160 --> 01:16:20,280
Speaker 1: Did?

1601
01:16:20,520 --> 01:16:20,800
Speaker 2: I thought?

1602
01:16:21,439 --> 01:16:25,800
Speaker 4: At the Beverly Willshire where a pretty woman was maybe

1603
01:16:25,840 --> 01:16:26,479
Speaker 4: she died there?

1604
01:16:26,760 --> 01:16:27,439
Speaker 2: Did you see that?

1605
01:16:27,520 --> 01:16:29,840
Speaker 4: In mart a cyber truck drove through the sign of

1606
01:16:29,880 --> 01:16:31,240
Speaker 4: the Beverly Sittel.

1607
01:16:31,880 --> 01:16:33,960
Speaker 2: No. I saw those things everywhere.

1608
01:16:34,120 --> 01:16:37,160
Speaker 4: I actually saw my first one in Delco a couple

1609
01:16:37,200 --> 01:16:39,360
Speaker 4: of weeks ago week, which was a truck those new

1610
01:16:39,400 --> 01:16:43,439
Speaker 4: Tesla trucks that look like they're like Sims trucks. Yeah,

1611
01:16:43,479 --> 01:16:45,200
Speaker 4: I saw one to Yeah they're weird.

1612
01:16:45,400 --> 01:16:46,000
Speaker 2: Yeah they are.

1613
01:16:46,280 --> 01:16:48,680
Speaker 3: You know what we needed to talk about the weirdest

1614
01:16:48,720 --> 01:16:52,120
Speaker 3: frickin thing in California. Two weird things both happened in

1615
01:16:52,160 --> 01:16:52,839
Speaker 3: Santa Monica.

1616
01:16:52,920 --> 01:16:53,320
Speaker 2: Actually.

1617
01:16:54,200 --> 01:16:57,719
Speaker 3: One, there's cars that drive by themselves. There are ubers

1618
01:16:57,760 --> 01:16:59,880
Speaker 3: that there is no driver in the front seat and

1619
01:17:00,240 --> 01:17:02,200
Speaker 3: drive and they go on the highway. They can go

1620
01:17:02,280 --> 01:17:03,720
Speaker 3: up to sixty five miles an hour.

1621
01:17:03,800 --> 01:17:06,479
Speaker 2: I don't like that. I can't. I couldn't believe it.

1622
01:17:06,520 --> 01:17:08,679
Speaker 3: I was scared when I saw a car driving around

1623
01:17:08,680 --> 01:17:11,000
Speaker 3: without a person sitting in the driver's seat.

1624
01:17:11,400 --> 01:17:14,880
Speaker 2: It's so weird. How is that? I just don't even know.

1625
01:17:15,240 --> 01:17:18,280
Speaker 3: The Other thing was that there were these little robots

1626
01:17:18,320 --> 01:17:20,880
Speaker 3: going up and down the street that had like door

1627
01:17:21,000 --> 01:17:23,479
Speaker 3: dash in them or uber eats in them. And then

1628
01:17:23,520 --> 01:17:25,360
Speaker 3: I guess because and one of them got like stuck

1629
01:17:25,400 --> 01:17:28,240
Speaker 3: on the curve. Dude, what the hell is that? They

1630
01:17:28,360 --> 01:17:30,720
Speaker 3: just like go to people's houses and shit, that's true.

1631
01:17:30,760 --> 01:17:32,720
Speaker 3: It's like I felt like I was in Back to

1632
01:17:32,760 --> 01:17:35,400
Speaker 3: the Future part two or something like, I'm like, let's

1633
01:17:35,439 --> 01:17:36,519
Speaker 3: get that happening here.

1634
01:17:37,160 --> 01:17:39,519
Speaker 4: Those would never last in Philly. They would get smashed

1635
01:17:39,520 --> 01:17:40,160
Speaker 4: in a second.

1636
01:17:40,400 --> 01:17:42,679
Speaker 3: They get smashed and stolen. That's what I was saying

1637
01:17:42,720 --> 01:17:44,759
Speaker 3: to our friend. We went and visited our friend Blue

1638
01:17:44,800 --> 01:17:47,320
Speaker 3: and his family, and we were like, people don't like

1639
01:17:47,439 --> 01:17:49,320
Speaker 3: just steal the food out of there, because that's what

1640
01:17:49,400 --> 01:17:50,640
Speaker 3: everybody in Philly would do.

1641
01:17:50,840 --> 01:17:53,479
Speaker 4: Yeah, all right, Well, thank you guys so much. We

1642
01:17:53,520 --> 01:17:55,920
Speaker 4: will see you next week with some more news stories.

1643
01:17:56,120 --> 01:17:56,439
Speaker 2: Thanks.

1644
01:17:56,479 --> 01:17:59,320
Speaker 3: We hope you enjoyed our double episodes this week to

1645
01:17:59,439 --> 01:18:06,559
Speaker 3: catch up. Thank you for listening to Mother Nos Death.

1646
01:18:07,280 --> 01:18:11,040
Speaker 3: As a reminder, my training is as a pathologist's assistant.

1647
01:18:11,760 --> 01:18:15,200
Speaker 3: I have a master's level education and specialize in anatomy

1648
01:18:15,240 --> 01:18:18,880
Speaker 3: and pathology education. I am not a doctor and I

1649
01:18:18,880 --> 01:18:22,719
Speaker 3: have not diagnosed or treated anyone dead or alive without

1650
01:18:22,760 --> 01:18:28,160
Speaker 3: the assistance of a licensed medical doctor. This show, my website,

1651
01:18:28,240 --> 01:18:31,559
Speaker 3: and social media accounts are designed to educate and inform

1652
01:18:31,680 --> 01:18:35,880
Speaker 3: people based on my experience working in pathology, so they

1653
01:18:35,920 --> 01:18:39,360
Speaker 3: can make healthier decisions regarding their life and well being.

1654
01:18:40,439 --> 01:18:43,320
Speaker 3: Always remember that science is changing every day and the

1655
01:18:43,360 --> 01:18:46,679
Speaker 3: opinions expressed in this episode are based on my knowledge

1656
01:18:46,720 --> 01:18:50,360
Speaker 3: of those subjects at the time of publication. If you

1657
01:18:50,400 --> 01:18:54,280
Speaker 3: are having a medical problem, have a medical question, or

1658
01:18:54,479 --> 01:18:58,719
Speaker 3: having a medical emergency, please contact your physician or visit

1659
01:18:58,760 --> 01:19:04,080
Speaker 3: an urgent care center, emergency room or hospital. Please rate, review,

1660
01:19:04,200 --> 01:19:08,560
Speaker 3: and subscribe to Mother Knows Death on Apple, Spotify, YouTube,

1661
01:19:08,800 --> 01:19:10,560
Speaker 3: or anywhere you get podcasts.

1662
01:19:10,880 --> 01:19:16,880
Speaker 2: Thanks