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

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Speaker 1: Everyone welcome the Mother Knows Death. News broke yesterday that

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Speaker 1: the Pope died, and we are going to talk about

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Speaker 1: all of the details of his death and funeral. We're

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Speaker 1: also going to get into the shooting at Florida State University,

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Speaker 1: poisoned easter eggs, a woman who donated her kidney to

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Speaker 1: her boss and then got fired, and lots of talk

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Speaker 1: about sperm and seamen today. All of that and more

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Speaker 1: in today's episode. Let's start off with the Pope. So,

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Speaker 1: he died yesterday at the age of eighty eight years

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Speaker 1: old from a stroke and heart failure. What's interesting when

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Speaker 1: a pope dies, however, is that their body is put

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Speaker 1: on public display. So I want to talk about that

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Speaker 1: a little bit. Yeah, So, I mean, he was eighty

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Speaker 1: eight years old and he had a stroke, and this

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Speaker 1: is not uncommon because a stroke is basically a heart

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Speaker 1: attack of the brain. So what happens is that there's

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Speaker 1: a lack of oxygenated blood getting to the brain and

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Speaker 1: it could cause a part of the brain to die off,

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Speaker 1: and in this case, it caused him to die or

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Speaker 1: caused him to go into cardiac arrest and cause him

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Speaker 1: to die. So in this case, we're not like, this

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Speaker 1: is not anything crazy. He did have a bout of

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Speaker 1: double pneumonia at some point recently, and I don't even

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Speaker 1: think that that necessarily.

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Speaker 2: Contributed to it.

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Speaker 1: When we get older, our blood vessels just start getting

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Speaker 1: terrible in most people, and that's probably more than likely

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Speaker 1: what happened in this case. It could cause the blood

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Speaker 1: vessels to get weak and blood clots and plaques conform,

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Speaker 1: and that could cause like a clog in the artery

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Speaker 1: that's going and feeding blood to the brain, and that

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Speaker 1: causes what's called an a ischemic stroke. They didn't say

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Speaker 1: if he had an eschema stroke versus a hemorrhagic stroke,

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Speaker 1: that would be if a blood vessel had burst in

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Speaker 1: the brain, that that would be a less likely outcome.

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Speaker 1: I'm pretty sure it's an a schemic stroke. But yeah,

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Speaker 1: So they put him on display public viewing for a

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Speaker 1: week until Saturday, so almost a week after he died.

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Speaker 1: So obviously the first thing is, okay, well, they need

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Speaker 1: to embalm him to put him on display like that,

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Speaker 1: because once a person dies, they start decomposing right away

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Speaker 1: and if you put the body into refrigeration, it will

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Speaker 1: slow it down, but it doesn't completely stop it. And

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Speaker 1: then as soon as you take the body out and

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Speaker 1: put it in room temperature, it's just going to start

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Speaker 1: rapidly decomposing as well. It's just kind of like the

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Speaker 1: talk I was having with you guys about the lamb

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Speaker 1: over Easter and putting it in the refrigerator, and you know,

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Speaker 1: like it only could be there a certain amount of

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Speaker 1: days before you have to put it in the freezer

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Speaker 1: because it because it breaks down it's meat, so it

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Speaker 1: shouldn't break down before the cell by date.

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Speaker 2: That I can't.

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Speaker 1: Oh, I'll get into that later. But the smell is

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Speaker 1: still like in vibrated, it's permanently traumatized.

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Speaker 2: Yeah.

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Speaker 1: So yeah, So it's really cool because there's all of

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Speaker 1: these there's been studies on the pontiffs how they've treated

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Speaker 1: their deaths since since they started doing this, and it's

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Speaker 1: it's really interesting. So they've been embalming people with modern

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Speaker 1: day embombing techniques for quite some time. The first one

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Speaker 1: that received the modern embalming was in nineteen fourteen, so

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Speaker 1: it's been over one hundred years since they've been doing it.

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Speaker 1: But this is interesting. So apparently Pope Pious the twelfth,

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Speaker 1: who died in nineteen fifty eight, had a botched embalming,

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Speaker 1: and apparently it was like really really bad. There was

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Speaker 1: this doctor that was in charge of embalming him and

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Speaker 1: decided to put these herbs and spices and resin inside

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Speaker 1: of his body instead of embalming him, and then placed

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Speaker 1: it him inside of a plastic bag. And what happened

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Speaker 1: is that not only did he not slow down from decomposing,

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Speaker 1: but it actually accelerated it. And apparently his body was covered,

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Speaker 1: but he was still out there and the guards had

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Speaker 1: to be rotated every fifteen minutes because it smelled so bad. Well,

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Speaker 1: I think that the person that performed that very that

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Speaker 1: quote unquote watched embalming, was saying that he believed this

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Speaker 1: was the way that Jesus Christ was preserved, so he

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Speaker 1: was trying to mimic the technique. Obviously, it failed miserably,

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Speaker 1: so they were like, no, no, we're gonna stick with

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Speaker 1: the modern techniques. They also maybe should have practiced that

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Speaker 1: on someone else that was not this public display. So

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Speaker 1: it is interesting though, because in more recent times, apparently

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Speaker 1: John Paul the Second was not embalmed, and I don't

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Speaker 1: know why they exactly decided not to do that, but

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Speaker 1: in this case, they're going to do it. And the

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Speaker 1: reason that they do that is they they essentially flush

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Speaker 1: the body of all of the blood and then they

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Speaker 1: put formaldehyde and embalming fluid through the body in order

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Speaker 1: to preserve it. It won't be preserved forever, but it

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Speaker 1: will be preserved for a very long time. I've seen

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Speaker 1: people pulled out of the ground being dead for a

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Speaker 1: couple of years that kind of look the same way

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Speaker 1: that they were put in the ground, with like maybe

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Speaker 1: a little bit of mold on them. So and that,

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Speaker 1: and that makes another interesting conversation because apparently if these

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Speaker 1: popes want to become a saint one day and they

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Speaker 1: want to get canonized, they One of the things is

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Speaker 1: is that when their bodies are repulled out, how preserved

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Speaker 1: they are, it almost makes them seem like they might

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Speaker 1: be a superior being if they're more preserved after so

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Speaker 1: many years of pulling them out, which really should just

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Speaker 1: be attributed to a good embalmer. But but whatever, just

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Speaker 1: like one of those weird religious things. Yeah, so they're

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Speaker 1: gonna put him out on and and I guess the

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Speaker 1: cool thing is it's being the most powerful person in

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Speaker 1: the Catholic Church. You get to decide how you want

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Speaker 1: it to go down. And he really had this all

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Speaker 1: written out as to what he wanted. So he didn't

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Speaker 1: want his body to be I guess normally they would

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Speaker 1: put it up on a platform like oh, you know,

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Speaker 1: and he wanted it to be.

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Speaker 2: Like more chill.

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Speaker 1: This makes me think of and also he wanted his

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Speaker 1: casket to be a little bit less extravagant. I think, well,

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Speaker 1: I think he was pretty popular because he my understanding

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Speaker 1: was he was a pretty humble person.

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Speaker 2: So this tracks with everything he's asking for.

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Speaker 1: Listen, if you remember Indiana Jones in the Last Crusade,

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Speaker 1: do you remember when they had to pick what chalice

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Speaker 1: that Jesus would have drank out of?

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Speaker 2: Okay, and they had all.

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Speaker 1: These really fancy ones and then they had this really plain,

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Speaker 1: like wooden one, and one of the German Nazis picked

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Speaker 1: like the fan and see us one in the room because.

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Speaker 2: They were like, oh, of course he would have picked

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Speaker 2: this one.

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Speaker 1: And then Indiana Jones was like, no, he was a

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Speaker 1: carpenter and picked the wooden one, and that was like

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Speaker 1: that was the one that he got eternal life from

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Speaker 1: drinking from and the Nazi like melted in front of everyone.

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Speaker 2: Do you remember that, Yeah, it kind of remember.

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Speaker 1: Reminds me of that, Like even though they they're this

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Speaker 1: like super powerful person, they're they're the very basic or whatever.

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Speaker 1: So I guess in the past they have traditionally used

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Speaker 1: three caskets to bury popes because they which is kind

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Speaker 1: of disturbing, but it's it's almost certain that they're not

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Speaker 1: going to stay in the same location where they were buried,

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Speaker 1: so they're going to be pulling them out and looking

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Speaker 1: at them again at some point. So they were doing

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Speaker 1: these three caskets that were had an airtight seal around it,

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Speaker 1: and now he's just having this one that's lined with

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Speaker 1: zinc or something like that. So I just think it's

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Speaker 1: I'm just curious as to why he pick that versus

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Speaker 1: the other ones. Maybe it's it has the same effect,

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Speaker 1: I'm not sure, or maybe he thinks it will be

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Speaker 1: better for him to eventually become a saint one day. Well,

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Speaker 1: I also find it interesting. So he's gonna be the

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Speaker 1: first pope in over a century not to be buried

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Speaker 1: in Saint Peter's Basilica in the Vatican. He's gonna go

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Speaker 1: in the Saint Mary Major in Rome for his burial,

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Speaker 1: So I think that's a really interesting choice too. Did

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Speaker 1: he say did he have reasoning for that? I'm probably

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Speaker 1: botching this, but I feel like I saw that he

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Speaker 1: wanted to be buried near this statue of the Virgin Mary.

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Speaker 1: But I probably misunderstood that reference because you know, we're

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Speaker 1: raised Catholic, but we're not practicing Catholics. So I'm like

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Speaker 1: trying to re educate myself about the practices as I'm

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Speaker 1: writing my notes for this episode. But I do find

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Speaker 1: this really fascinating culturally. I mean, people are flocking to

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Speaker 1: the Vatican to see his body right now, which is

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Speaker 1: a really interesting concept that people are going on these

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Speaker 1: lavish vacations just to see his body. Yeah, it is,

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Speaker 1: really it's it's kind of weird. Although that's that's more

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Speaker 1: of the norm. I mean, that's like, that's definitely a

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Speaker 1: Catholic thing. That's how we grew up. And you know,

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Speaker 1: when a person dies, they get a viewing all the time.

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Speaker 1: And another another interesting thing to think about is like

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Speaker 1: they they know how he died and he was old.

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Speaker 1: It wasn't like he just dropped dead unexpectedly, Although a

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Speaker 1: lot of articles were saying that people were kind of

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Speaker 1: shocked by it. I did think it was kind of

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Speaker 1: like weird that he died right after Easter.

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Speaker 2: That was just a little weird, right.

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Speaker 1: Yeah. I was gonna say if it happened on either Friday,

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Speaker 1: Good Friday or Easter, it was it was giving mild conspiracy.

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Speaker 1: But I go down that path because that's gonna be

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Speaker 1: offensive to a lot of people. But yeah, the timing

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Speaker 1: was certainly interesting, but we all knew he was sick.

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Speaker 1: I mean, he was in the hospital for over a month,

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Speaker 1: not that long ago. I think at that's how we

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Speaker 1: were preparing for him to die. And then he did it,

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Speaker 1: and he recovered miraculously, and then, you know, a couple

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Speaker 1: of days later, or not a couple of days later,

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Speaker 1: a couple months later, it ended up not being so

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Speaker 1: good for him. But I think it was pretty well respected.

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Speaker 1: And of course this brings up the big Oscar movie

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Speaker 1: that was going around this year, the Conclave, which was

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Speaker 1: this really dramatic film about how they picked the next pope.

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Speaker 2: I didn't see.

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Speaker 1: I think I'm gonna watch it tonight because now I'm

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Speaker 1: very interested to watch how that all goes down. Yeah,

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Speaker 1: it sounds like it's kind of a crazy processed. It's

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Speaker 1: almost it's almost like a jury in a way of it.

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Speaker 1: It's very hidden, and they put off smoke twice a

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Speaker 1: day because they're burning their whatever they were looking into

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Speaker 1: and stuff in between, the first in the morning and

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Speaker 1: then at night and then I don't know. It just

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Speaker 1: sounds like it sounds like a crazy process. But interested

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Speaker 1: to see how that goes It's interesting too, because I

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Speaker 1: was thinking, obviously this is different than a monarchy or

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Speaker 1: like the presidency, but when a president dies or a

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Speaker 1: monarch dies, there's no gap in between a leader, right,

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Speaker 1: So when a president dies immediately, the vice president has

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Speaker 1: been made the president, and when the monarch dies immediately,

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Speaker 1: the successor has been now made care It is weird

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Speaker 1: that there's not that you wouldn't want the current person

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Speaker 1: to be in on those conversations about who's going to

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Speaker 1: take over, you know. But I guess that might be

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Speaker 1: a good thing if if most of the people didn't

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Speaker 1: really like that person, so I could see and and

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Speaker 1: really like they're not they're not I know that they're

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Speaker 1: leading like the Catholic religion and stuff, but like if

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Speaker 1: they're not there for a week, like what's going to happen.

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Speaker 1: Pope Francis was also the first pope from the Americas

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Speaker 1: to be the pope, so there's never been like somebody

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Speaker 1: from the United States, and he was from Argentina, So

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Speaker 1: I find it interesting, like going forward, are they going

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Speaker 1: to try to pick somebody from a different cultural background,

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Speaker 1: because I think most of the time European guys, So

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Speaker 1: I find that is pretty interesting, even though not really

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Speaker 1: that into practicing religion, but I just think culturally it's

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Speaker 1: very interesting. Okay, let's get into this FSU shooting. So

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Speaker 1: last week, you know that we recorded with Tom Smith

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Speaker 1: of the gold Shields podcast, and I went to Target

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Speaker 1: afterwards to get my kids some stuff for Easter, and

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Speaker 1: he texted me and told me that he was on

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Speaker 1: the news talking about this latest school shooting. And I'm

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Speaker 1: just like, how is it that I was gone off

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Speaker 1: of the radar for a half hour and something like

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Speaker 1: this happened? And sure enough I look it up online

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Speaker 1: and saw that there was yet another school shooting. We

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Speaker 1: don't typically cover them on here because they're just too

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Speaker 1: upsetting and they just happen all the time, but we

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Speaker 1: think this one has some crazy background story, so we

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Speaker 1: should probably get into it. Yeah, I want to start

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Speaker 1: off talking about the background of the shooter. Who is

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Speaker 1: this twenty year old male. So when he was eleven,

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Speaker 1: his biological mother had told his father she was taking

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Speaker 1: him to Florida on spring break, but ended up kidnapping

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Speaker 1: him and taking him to Norma amid this giant custody

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Speaker 1: battle they were having, and the dad didn't even know

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Speaker 1: at first until the kid ended up telling him on

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Speaker 1: the phone and she had him in Norway for a

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Speaker 1: couple of months. I mean, you are a single parent

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Speaker 1: at one time that shared custody of me with my dad,

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Speaker 1: and that would have never flown with you. You know,

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Speaker 1: you can't just be taking your kids out of state

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Speaker 1: or to other countries against the other parents' wishes. Yeah,

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Speaker 1: I mean, but I mean people do it though, no

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Speaker 1: people do it all the time, but it's still kidnapping,

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Speaker 1: even if it's your own child. I feel like sometimes

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Speaker 1: most of the time when we see these amber alerts,

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Speaker 1: it ends up being one of the parents. Yeah, And

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Speaker 1: I don't really know because honestly, like it's bizarre if

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Speaker 1: the dad had full time custody of the kid anyway,

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Speaker 1: and the mom was having visitation. That's like not typical

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Speaker 1: at all. No, So that makes me think, Okay, what

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Speaker 1: was going on there? But also is it possible, just

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Speaker 1: knowing what we know now, that the mom was like,

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Speaker 1: I don't want that kid there because of what's going

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Speaker 1: on in that house and stuff. I mean, there clearly

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Speaker 1: was like family instability with this child, and of course

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Speaker 1: there is from time to time with adults, and then

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Speaker 1: kids get wrapped up in their bullshit, you know. Yeah,

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Speaker 1: I mean it's hard to say because we're not in

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Speaker 1: the house, so we don't really know what went down,

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Speaker 1: and we are just having a conversation recently how you

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Speaker 1: could be the best parent in the world and your

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Speaker 1: kid could still end up being disturbed or having issues.

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Speaker 1: Clearly this kid was having severe mental health issues. His

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Speaker 1: father had said he was on medication for several health

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Speaker 1: and mental issues, including a growth hormone disorder in ADHD.

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Speaker 1: So moving forward to this shooting, you know, he goes

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Speaker 1: on this campus and open fire. He killed two, he

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Speaker 1: ends up hurting six, and when the police got there,

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Speaker 1: they shot him and were able to retrieve weapons.

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Speaker 2: Off of him.

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Speaker 1: One of which was a handgun believed to be the

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Speaker 1: old service weapon of his stepmother, who is a sheriff's deputy.

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Speaker 1: So I guess one of the things that we should

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Speaker 1: address is if the father is saying that this kid

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Speaker 1: had several health and mental issues, including a growth hormone

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Speaker 1: disorder which I don't know exactly what that is in

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Speaker 1: ADHD or attention deficit hyperactivity disorder, why was he allowed

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Speaker 1: to be in a house that had weapons that were

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Speaker 1: not secured or even had weapons in it period. Well, yeah,

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Speaker 1: of course, so this is the problem in most of

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Speaker 1: these cases. So do you remember recently that parents in

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Speaker 1: a Michigan school shooting had were like the they were

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Speaker 1: the first case of parents getting charged for their kid

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Speaker 1: doing something like this. I think that that should be

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Speaker 1: heavily looked at in this case. Yeah, I mean, this

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Speaker 1: is my first question too, because I'm reading that this

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Speaker 1: weapon is an old service weapon of his stepmother, who

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Speaker 1: is a police officer. So I'm just confused about the

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Speaker 1: process of that. Did they not only have one weapon

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Speaker 1: assigned to them that they bring home, and don't they

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Speaker 1: have certain standards they have to abide by as a

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Speaker 1: police officer to lock them up, And why is there

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Speaker 1: an older one in the house. You don't have to

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Speaker 1: turn that one in. I don't understand why somebody would

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Speaker 1: have multiple that they're bringing home from their office.

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Speaker 2: You know what I mean.

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Speaker 1: Well, I mean that people have lots of guns in

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Speaker 1: their house, like who cares, No, I'm talking about service

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Speaker 1: weapons in particular. Yeah, I mean whatever, Like the kid,

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Speaker 1: The bottom line is it doesn't matter if she if

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Speaker 1: she had it locked up, it wasn't good enough. Like

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Speaker 1: whatever was the problem wasn't good enough. So yeah, it's

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Speaker 1: almost like in this case, you know, because we're always

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Speaker 1: having this debate, and we had this great interview For

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Speaker 1: those of you who are newer to Mother Knows Death

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Speaker 1: when we started, god almost two years ago now or

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Speaker 1: like a year and a half ago, I would say, yeah,

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Speaker 1: our very second episode of Mother Knows Death was with

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Speaker 1: a doctor, Jonathan Metzarl and he is an expert on

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Speaker 1: school shooting and it was really interesting if you guys

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Speaker 1: are interested in listening to that episode about all of

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Speaker 1: the different reasons because he since he studies them, he

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Speaker 1: looks into everything like the gun situate, because usually it's

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Speaker 1: like one side's like it's the guns, the other sides,

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Speaker 1: like it's mental health, and he really goes into how

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Speaker 1: there's just a combination of different so many different things

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Speaker 1: that go into it that it's just not easy to

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Speaker 1: pinpoint it specifically to one thing or another. And this

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Speaker 1: is a good example of this case because this person,

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Speaker 1: this gun that was used, was, or at least one

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Speaker 1: of the weapons that was used, was a police officers

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Speaker 1: who would have a weapon regardless of anything. They would

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Speaker 1: always have a weapon. So now it's like, okay, and

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Speaker 1: then you look at the history and you're just like

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Speaker 1: a child going through all of this stuff between getting

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Speaker 1: kidnapped as a child and living with his dad and

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Speaker 1: stepmother and just all of these underlying mental health things

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Speaker 1: that this kid may have been going through at the time.

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Speaker 1: I don't know what led to it, but let me

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Speaker 1: tell you something interesting. So one of our listeners as

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Speaker 1: well as a grocery member, had messaged me right after

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Speaker 1: this happened and said that she was a student at

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Speaker 1: FSU and she she was going to school there and

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Speaker 1: telling me everything that was going on and just how

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Speaker 1: crazy it is from a student's perspective. And shockingly, she

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Speaker 1: messaged me a couple days ago and she said you know.

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Speaker 1: First she was like, I hope they just canceled the

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Speaker 1: rest of the semester and we wanted them back yesterday.

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Speaker 1: They wanted the best yes. So then she writes me

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Speaker 1: and says, you won't believe this, but they're not. They're

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Speaker 1: not canceling anything. It's just like business as usual. And

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Speaker 1: I'm sure they got a lot of pushback from not

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Speaker 1: only the students but their parents that are paying for

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Speaker 1: them to go to school. There some of them just

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Speaker 1: being like that was a super traumatic event that my

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Speaker 1: kids just went through. Like I think about something like

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Speaker 1: that happening, and then you having to take these important

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Speaker 1: tests to get these grades that will affect the rest

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Speaker 1: of your college life. Right, they're just like, I'm sorry,

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Speaker 1: but when you were just running for your life, what

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Speaker 1: are there Some stories of students in the classroom, like

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Speaker 1: they were trying to hang paper on the windows to

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Speaker 1: hide the fact that there were people in the windows,

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Speaker 1: and kids didn't have any tape and the teacher they

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Speaker 1: didn't have any tape, so they were literally chewing pieces

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Speaker 1: of gum to make glue to stick paper on the

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Speaker 1: windows to hide themselves in a room. Do you think

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Speaker 1: that they're going to be like, all right, let's get

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Speaker 1: studying for that science exam, Like, come on, I mean,

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Speaker 1: it's outrageous, but they they've since gone back and said

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Speaker 1: that students could take it at their own pace or whatever.

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Speaker 1: It was absolutely ridiculous that the university wanted them to

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Speaker 1: come back four days after this incredibly traumatic event. We

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Speaker 1: can argue, and it was like over the weekend. It

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Speaker 1: was just like, yeah, you had the weekend off and

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Speaker 1: it was Easter weekend. It's just like, come on, dude,

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Speaker 1: like what are you talking about right now?

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Speaker 2: I think we can argue.

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Speaker 1: We're living in this society of people that are a

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Speaker 1: little soft by things happening, But this is not one

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Speaker 1: of those instances. This is an incredibly dramatic event. It

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Speaker 1: should be treated as such. It's a special circumstance. It's

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Speaker 1: almost like, how dare you assume they're gonna be okay

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Speaker 1: in four days? Even if you were a victim of this,

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Speaker 1: you can't go out in public comfortably. And to your point,

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Speaker 1: they're about to hit finals and take tests that are

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Speaker 1: going to affect the rest of their collegiate careers and

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Speaker 1: eventually their professional lives. How could you possibly expect somebody

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Speaker 1: to be focused.

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Speaker 2: When it happened.

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Speaker 1: I see what they were thinking, because it's kind of

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Speaker 1: like that, we're not going to let the terrorists win.

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Speaker 1: We're not going to shut this down and do.

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Speaker 2: This four days.

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Speaker 1: Yeah, I just I do think that it's like, all right,

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Speaker 1: like come on, it is a little bit, but the

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Speaker 1: craziest So this woman that I was talking to, she

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Speaker 1: she also was sending me some messages telling me that

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Speaker 1: you know, because now this is also just like so

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Speaker 1: much more complex the more and more social media is

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Speaker 1: involved in stuff. And one of his friends was writing

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Speaker 1: all these things about how these people deserved it because

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Speaker 1: he was bullied and this is what he gets and

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Speaker 1: this and that.

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Speaker 2: But then it's.

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Speaker 1: Like like you use that and then you say, Okay,

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Speaker 1: well the guy killed two people that worked there that

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Speaker 1: he appeared to have nothing to do with or not

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Speaker 1: even know they were, like I think one person was

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Speaker 1: visiting the university and the other person was a worker

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Speaker 1: at the university. Like he just killed random people, shot

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Speaker 1: other random people. And it's just like, it's no excuse

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Speaker 1: if you get bullied to do something like that.

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Speaker 2: Well, it's no excuse in general.

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Speaker 1: And it's especially like why even bring it up if

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Speaker 1: you're not even if you're hitting random people, like if

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Speaker 1: you're hitting the bullies. I understand that defense, not that

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Speaker 1: it makes it okay, but I understand you bringing up

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Speaker 1: that point. But like you're just targeting completely random people.

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Speaker 1: So what what did they have to do with it?

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Speaker 1: I mean, was he even a student there? So apparently

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Speaker 1: he was a student there, I believe. I don't know

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Speaker 1: if he was currently a student, but he was at

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Speaker 1: some time apparently.

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Speaker 2: The mom This is what makes it.

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Speaker 1: I mean, I don't know, because you know a lot

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Speaker 1: of people like this in your real life that they

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Speaker 1: they're no longer together, and there's like a lot of

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Speaker 1: drama between the husband and the wife or the girlfriend

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Speaker 1: or boyfriend whatever that had this kid together. So it

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Speaker 1: just seems like it was one of those relationships. But

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Speaker 1: like when kids are in the middle of that, it's

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Speaker 1: just it's a terrible like they're using the children as

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Speaker 1: pawns and it's terrible. Well, this drives my constant point

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Speaker 1: that people should not be marrying and pro creating with

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Speaker 1: people they are not really in love with, because when

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Speaker 1: you're putting a child in a tumultuous situation like this,

436
00:22:53,000 --> 00:22:56,600
Speaker 1: and of course can cause them distress. Well, you can't

437
00:22:56,640 --> 00:22:58,640
Speaker 1: say that, though, because a lot of times people are

438
00:22:58,680 --> 00:23:00,000
Speaker 1: in love and they don't really.

439
00:23:00,560 --> 00:23:01,000
Speaker 2: While I'm not.

440
00:23:00,960 --> 00:23:02,480
Speaker 1: Talking about the people that are in love and it

441
00:23:02,520 --> 00:23:04,760
Speaker 1: doesn't work out, I'm talking about these people and there's

442
00:23:04,840 --> 00:23:07,720
Speaker 1: many of them that have no business getting married. They

443
00:23:07,880 --> 00:23:10,320
Speaker 1: admit they don't love the person they're marrying, and they

444
00:23:10,400 --> 00:23:13,760
Speaker 1: have kids and there's no love in the entire house. Well,

445
00:23:14,720 --> 00:23:17,439
Speaker 1: people are gonna do what they're gonna do, And like

446
00:23:17,640 --> 00:23:22,320
Speaker 1: his mother, sometimes people don't really understand that. They just

447
00:23:22,400 --> 00:23:25,080
Speaker 1: do it because it's convenient or because they're pressured from

448
00:23:25,119 --> 00:23:28,320
Speaker 1: their family or something. But something was clearly up in

449
00:23:28,320 --> 00:23:31,480
Speaker 1: this house obviously behind the kidnapping. Also a point I

450
00:23:31,520 --> 00:23:34,640
Speaker 1: wanted to make is that the mother and the son

451
00:23:34,960 --> 00:23:38,840
Speaker 1: the shooter had dual citizenship between the United States and Norway,

452
00:23:38,840 --> 00:23:40,560
Speaker 1: which is how she was able to bring him over

453
00:23:40,600 --> 00:23:42,600
Speaker 1: there and keep them over there for so long. But

454
00:23:42,720 --> 00:23:46,160
Speaker 1: obviously it's still a kidnapping situation, and his biological mother

455
00:23:46,240 --> 00:23:49,680
Speaker 1: ended up suing his father and stepmother and her son

456
00:23:49,960 --> 00:23:53,840
Speaker 1: for defamation after the fact. There was just like this

457
00:23:53,960 --> 00:23:57,080
Speaker 1: craziness going on all around. This kid just seems like

458
00:23:57,080 --> 00:24:02,200
Speaker 1: he had a totally unstable lifestyle, Yeah, which could definitely

459
00:24:02,240 --> 00:24:05,879
Speaker 1: be attributed. So like, let's say that kid's going and

460
00:24:05,960 --> 00:24:07,840
Speaker 1: dealing with that at home, and then he goes to

461
00:24:07,880 --> 00:24:10,679
Speaker 1: school and he's getting bullied at school. It's like the

462
00:24:10,720 --> 00:24:13,960
Speaker 1: bullying at school is contributing. But like when you don't

463
00:24:13,960 --> 00:24:16,800
Speaker 1: really have an escape, especially when you're a young kid

464
00:24:16,920 --> 00:24:20,119
Speaker 1: or with social media, it just never goes away exactly like,

465
00:24:20,160 --> 00:24:23,760
Speaker 1: it just never goes away. You never get a release

466
00:24:23,840 --> 00:24:26,480
Speaker 1: and to be able to just not deal with that,

467
00:24:26,680 --> 00:24:30,920
Speaker 1: and it sucks because you feel terrible for what happened there.

468
00:24:30,960 --> 00:24:34,480
Speaker 1: But let's talk about another thing with this particular case

469
00:24:34,600 --> 00:24:37,480
Speaker 1: was the video that went viral after this. I mean,

470
00:24:37,800 --> 00:24:40,439
Speaker 1: this is getting so out of control with people just

471
00:24:40,480 --> 00:24:43,800
Speaker 1: taking videos and not worrying about what's happening to other people.

472
00:24:44,119 --> 00:24:47,040
Speaker 1: So this video goes viral of this woman just holding

473
00:24:47,080 --> 00:24:50,320
Speaker 1: a Starbucks cup and very quickly in the background you

474
00:24:50,320 --> 00:24:52,760
Speaker 1: just see one of the victims bleeding out on the ground.

475
00:24:53,320 --> 00:24:56,680
Speaker 1: I'm like, A, what's wrong with our society today that

476
00:24:56,720 --> 00:24:59,040
Speaker 1: A you're not so scared for your life that you're

477
00:24:59,080 --> 00:25:02,240
Speaker 1: running there's guns you here in the background, and B

478
00:25:02,440 --> 00:25:05,159
Speaker 1: there's a clear person bleeding out in front of you,

479
00:25:05,480 --> 00:25:07,439
Speaker 1: and instead of trying to help them out or at

480
00:25:07,520 --> 00:25:10,000
Speaker 1: least try to save yourself, you're just so worried about

481
00:25:10,080 --> 00:25:11,240
Speaker 1: taking a video and then.

482
00:25:11,160 --> 00:25:13,720
Speaker 2: Posting it online. Yeah, I think that was the most

483
00:25:13,760 --> 00:25:14,800
Speaker 2: disturbing part for me.

484
00:25:14,960 --> 00:25:18,240
Speaker 1: Like, I understand, in a school shooting, there's going to

485
00:25:18,280 --> 00:25:20,639
Speaker 1: be plenty of times where you see somebody laying on

486
00:25:20,680 --> 00:25:24,000
Speaker 1: the ground that's dying, and like, in all honesty, what's

487
00:25:24,000 --> 00:25:27,680
Speaker 1: a regular person? The person's probably like a nineteen year

488
00:25:27,680 --> 00:25:29,399
Speaker 1: old kid, Like, what the hell's she going to do

489
00:25:29,440 --> 00:25:32,679
Speaker 1: to help? And I understand help this victim, but like

490
00:25:33,400 --> 00:25:37,760
Speaker 1: in a normal circumstance, if you were at an active

491
00:25:37,800 --> 00:25:41,560
Speaker 1: shooter scene, you would be ducking and hiding and like

492
00:25:41,640 --> 00:25:44,280
Speaker 1: making yourself off the radar as much as possible. But

493
00:25:44,440 --> 00:25:48,520
Speaker 1: this woman decided that she had to document this, which

494
00:25:48,560 --> 00:25:51,600
Speaker 1: she didn't even get anything good. It just went viral,

495
00:25:51,640 --> 00:25:54,199
Speaker 1: and it went viral because people were like, what the

496
00:25:54,240 --> 00:25:57,600
Speaker 1: hell is wrong with you, lady? Yeah, And like, let

497
00:25:57,600 --> 00:26:00,200
Speaker 1: me tell you something. If I'm hearing gunshots, my our

498
00:26:00,200 --> 00:26:02,960
Speaker 1: books cup ain't even in my hand anymore. Exadly, right,

499
00:26:03,320 --> 00:26:07,320
Speaker 1: I'm running for cover. I've certainly not in her tornado

500
00:26:07,440 --> 00:26:10,240
Speaker 1: cave I'm going in my tornado cave in my house.

501
00:26:10,480 --> 00:26:13,400
Speaker 1: I'm not worried about maintaining the coffee I just bought,

502
00:26:13,520 --> 00:26:15,920
Speaker 1: even though they charged ten dollars for a coffee. Now,

503
00:26:16,600 --> 00:26:19,679
Speaker 1: let alone, you know, whipping out my phone and holding

504
00:26:19,720 --> 00:26:21,919
Speaker 1: this drink and trying to take a video to go viral.

505
00:26:22,200 --> 00:26:24,199
Speaker 1: In what world do you think you're going viral in

506
00:26:24,240 --> 00:26:25,160
Speaker 1: a good way for this?

507
00:26:26,160 --> 00:26:26,440
Speaker 2: Yeah?

508
00:26:26,480 --> 00:26:29,040
Speaker 1: I mean, I don't even think that this woman really

509
00:26:29,119 --> 00:26:33,240
Speaker 1: understands the ramifications of this, because I feel like if

510
00:26:33,240 --> 00:26:36,359
Speaker 1: the video got posted online, it was posted to some account,

511
00:26:36,440 --> 00:26:38,640
Speaker 1: and someone's going to figure out who this woman is,

512
00:26:38,760 --> 00:26:43,000
Speaker 1: and like she's going to be ostracized from the community, obviously,

513
00:26:43,320 --> 00:26:45,960
Speaker 1: and she set herself up for that just because she

514
00:26:46,080 --> 00:26:49,680
Speaker 1: wanted to be first. And that's a whole entire that's

515
00:26:49,760 --> 00:26:52,720
Speaker 1: just like a whole entire issue with humans in general,

516
00:26:52,840 --> 00:26:56,879
Speaker 1: and a very interesting one because now it's and I

517
00:26:56,880 --> 00:26:59,760
Speaker 1: think we were talking about this actually with Tom last week,

518
00:26:59,800 --> 00:27:03,520
Speaker 1: that you can go on Twitter or on Instagram and

519
00:27:03,560 --> 00:27:07,240
Speaker 1: get the news sometimes hours before the news actually reports

520
00:27:07,240 --> 00:27:10,240
Speaker 1: it because regular people don't have to fact check, and

521
00:27:10,520 --> 00:27:12,560
Speaker 1: people are just looking to go viral, and they just

522
00:27:12,600 --> 00:27:16,840
Speaker 1: don't they don't care. And we see this all the

523
00:27:16,880 --> 00:27:18,679
Speaker 1: time in the gross room, with so many videos that

524
00:27:18,720 --> 00:27:23,160
Speaker 1: we post of people just horrific accidents maybe falling off

525
00:27:23,200 --> 00:27:25,760
Speaker 1: a motorcycle and stuff, and instead of a person going

526
00:27:26,280 --> 00:27:28,760
Speaker 1: up to them and consoling them and just saying like, hey,

527
00:27:28,840 --> 00:27:30,720
Speaker 1: I just want to let you know that I'm here

528
00:27:30,760 --> 00:27:32,359
Speaker 1: and we call nine one one, because that's what you

529
00:27:32,400 --> 00:27:34,679
Speaker 1: want to hear. If you're shot and you're laying there

530
00:27:34,720 --> 00:27:36,919
Speaker 1: and you're still alive, it would just be nice for

531
00:27:36,920 --> 00:27:39,880
Speaker 1: someone to say to you, like, hey, helps on the way,

532
00:27:40,040 --> 00:27:43,600
Speaker 1: You're not alone, and like I understand if the bullets

533
00:27:43,600 --> 00:27:45,840
Speaker 1: were flying live, but she didn't really look like she

534
00:27:46,000 --> 00:27:49,480
Speaker 1: was scared. She didn't look like she was scared. It's

535
00:27:49,560 --> 00:27:53,240
Speaker 1: concerning how desensitized we are that we think it's okay

536
00:27:53,280 --> 00:27:56,320
Speaker 1: to be taking videos like this, let alone, not even

537
00:27:56,440 --> 00:27:59,160
Speaker 1: trying to protect yourself. I mean, she was still an

538
00:27:59,200 --> 00:28:02,360
Speaker 1: open target at this point. And we know so far

539
00:28:02,480 --> 00:28:05,480
Speaker 1: that this girl in the video has survived because the

540
00:28:05,520 --> 00:28:08,760
Speaker 1: two people that died from this were males and it's

541
00:28:08,800 --> 00:28:11,480
Speaker 1: clearly a female in this video, so we know that

542
00:28:11,520 --> 00:28:14,439
Speaker 1: person has survived. And now there's this video circulating of

543
00:28:14,480 --> 00:28:18,240
Speaker 1: them on the internet heading out and I'm actually I'm curious,

544
00:28:18,280 --> 00:28:21,439
Speaker 1: Like once she comes to and she's she's I know

545
00:28:21,480 --> 00:28:24,879
Speaker 1: that she's done a couple of interviews, so she's getting better, thankfully,

546
00:28:25,320 --> 00:28:26,040
Speaker 1: But once.

547
00:28:25,840 --> 00:28:27,960
Speaker 2: She realizes that this video has.

548
00:28:27,800 --> 00:28:31,119
Speaker 1: Been going viral of her bleeding like that and someone

549
00:28:31,240 --> 00:28:34,160
Speaker 1: just being like, oh, look over there, like what how

550
00:28:34,280 --> 00:28:36,960
Speaker 1: is she going to feel about that? And then I

551
00:28:37,000 --> 00:28:39,760
Speaker 1: mean she's everybody's going to find out who that person

552
00:28:39,840 --> 00:28:43,320
Speaker 1: is eventually, and it's just that's that's like really a

553
00:28:43,360 --> 00:28:44,120
Speaker 1: gross feeling.

554
00:28:44,160 --> 00:28:44,600
Speaker 2: Honestly.

555
00:28:45,480 --> 00:28:47,560
Speaker 1: Yeah, I mean I think that person that took the

556
00:28:47,640 --> 00:28:51,560
Speaker 1: video needs to bare minimum change schools or like consider

557
00:28:51,640 --> 00:28:54,040
Speaker 1: doing college online identities.

558
00:28:54,080 --> 00:28:55,560
Speaker 2: And yeah, moved to another country.

559
00:28:55,800 --> 00:28:57,719
Speaker 1: The problem is if you move to another country, now

560
00:28:57,760 --> 00:28:59,840
Speaker 1: it's like your your viral thing went everywhere.

561
00:29:00,080 --> 00:29:01,440
Speaker 2: There's nowhere to hide anymore.

562
00:29:01,720 --> 00:29:04,400
Speaker 1: Just what a stupid decision to make to do that.

563
00:29:04,440 --> 00:29:06,760
Speaker 1: And it's just concerning, like you weren't concerned for your

564
00:29:06,800 --> 00:29:09,640
Speaker 1: life at any point during this You can hear gunshots

565
00:29:09,680 --> 00:29:10,440
Speaker 1: of the background.

566
00:29:10,440 --> 00:29:11,080
Speaker 2: Oh my god.

567
00:29:11,480 --> 00:29:14,479
Speaker 1: All right, So let's talk about So Easter was this

568
00:29:14,560 --> 00:29:18,000
Speaker 1: weekend and this is an interesting story that has to

569
00:29:18,040 --> 00:29:20,000
Speaker 1: do with poisoned Easter eggs.

570
00:29:20,400 --> 00:29:21,360
Speaker 2: Yeah, so in Brazil.

571
00:29:21,440 --> 00:29:23,800
Speaker 1: This thirty five year old woman had bought chocolate Easter

572
00:29:23,880 --> 00:29:26,360
Speaker 1: eggs and then she poisoned them, got them delivered to

573
00:29:26,480 --> 00:29:30,040
Speaker 1: her ex's new girlfriend's house. They keep preferring that her

574
00:29:30,080 --> 00:29:33,800
Speaker 1: ex husband has this new family. So she sends these

575
00:29:33,840 --> 00:29:37,720
Speaker 1: poisoned Easter eggs to the new family with this anonymous

576
00:29:37,760 --> 00:29:41,440
Speaker 1: card just saying Happy Easter. So this woman passes out

577
00:29:41,480 --> 00:29:44,360
Speaker 1: the chocolate Easter eggs, each one of them herself, gives

578
00:29:44,480 --> 00:29:46,920
Speaker 1: two of them to her two kids, and then her

579
00:29:46,960 --> 00:29:49,800
Speaker 1: seven year old son ended up getting severely ill and

580
00:29:49,880 --> 00:29:52,400
Speaker 1: dying and now her and her thirteen year old daughter

581
00:29:52,440 --> 00:29:53,600
Speaker 1: are in critical condition.

582
00:29:53,960 --> 00:29:56,360
Speaker 2: Oh my god, what a psycho.

583
00:29:56,480 --> 00:30:00,280
Speaker 1: And they so they show video they found her. They

584
00:30:00,280 --> 00:30:03,240
Speaker 1: found her buying the Easter eggs and she was wearing

585
00:30:03,280 --> 00:30:07,360
Speaker 1: a black wig when she bought them. They found receipts

586
00:30:07,360 --> 00:30:12,640
Speaker 1: for chocolate eggs, two wigs, scissors, cards, a special knife

587
00:30:12,720 --> 00:30:16,240
Speaker 1: to a small little knife to cut open the eggs.

588
00:30:16,240 --> 00:30:18,360
Speaker 1: I guess to put in the suspected drugs. They never

589
00:30:18,400 --> 00:30:22,280
Speaker 1: really said exactly what the poison was, but they're doing

590
00:30:22,320 --> 00:30:26,080
Speaker 1: an autopsy on the kid, so apparently he got sick

591
00:30:26,120 --> 00:30:28,800
Speaker 1: and died pretty quickly. So I would say something like

592
00:30:28,960 --> 00:30:32,080
Speaker 1: cyanide maybe. I mean, I guess like something like fentanyl too,

593
00:30:32,120 --> 00:30:35,280
Speaker 1: if they had access to it. There's all different kinds

594
00:30:35,280 --> 00:30:38,040
Speaker 1: of poisons you could give people, and especially a little

595
00:30:38,200 --> 00:30:42,240
Speaker 1: seven year old. You don't need much, right, It's just

596
00:30:42,520 --> 00:30:44,920
Speaker 1: it's so psychotic, like you actually thought that you were

597
00:30:44,920 --> 00:30:47,680
Speaker 1: going to get away with that. Well, it's psychotic. She

598
00:30:47,720 --> 00:30:49,520
Speaker 1: thought she was gonna get away with it. And then

599
00:30:49,680 --> 00:30:52,600
Speaker 1: when the police were interviewing the eggs husband they were

600
00:30:52,800 --> 00:30:55,080
Speaker 1: he immediately said, I think my ex wife has something

601
00:30:55,120 --> 00:30:56,960
Speaker 1: to do with it. And then of course they find

602
00:30:56,960 --> 00:30:59,760
Speaker 1: this CCTV footage of her in the grocery store with

603
00:30:59,840 --> 00:31:03,480
Speaker 1: the that's ridiculous disguise on buying the eggs. She's denying

604
00:31:03,560 --> 00:31:06,360
Speaker 1: she said she bought the eggs, but she's denying poisoning them.

605
00:31:06,400 --> 00:31:09,480
Speaker 1: And everybody's like, yeah, okay, and apparently she had tried

606
00:31:09,520 --> 00:31:12,880
Speaker 1: to poison them before. This is like the second attempt. Yeah,

607
00:31:12,920 --> 00:31:15,720
Speaker 1: And it's just like, this is one thing I always

608
00:31:15,760 --> 00:31:18,680
Speaker 1: think about every single time you hear about these stupid crimes.

609
00:31:18,680 --> 00:31:21,760
Speaker 1: When people are like they'll call and say, oh, my

610
00:31:22,160 --> 00:31:24,480
Speaker 1: girlfriend just fainted and I don't know what happened, and

611
00:31:24,520 --> 00:31:26,400
Speaker 1: then they do the autopsy and they're like, no, there's

612
00:31:26,400 --> 00:31:28,800
Speaker 1: evidence of manual strangulation. Like do you think that you're

613
00:31:28,840 --> 00:31:31,240
Speaker 1: just gonna say something and like people are gonna believe you,

614
00:31:31,360 --> 00:31:34,640
Speaker 1: Like you know, forensic files has been on for such

615
00:31:34,640 --> 00:31:36,560
Speaker 1: a long time, Like you don't know that they that

616
00:31:36,560 --> 00:31:39,480
Speaker 1: they're able to like check this kind of stuff.

617
00:31:39,280 --> 00:31:41,520
Speaker 2: It's just like all they're going to do.

618
00:31:41,840 --> 00:31:44,720
Speaker 1: They they literally have the leftover chocolate, they'll test it

619
00:31:44,760 --> 00:31:46,280
Speaker 1: and see if the drugs are in it. It's like

620
00:31:46,360 --> 00:31:49,520
Speaker 1: a clearcut thing, I know, and they'll see the same

621
00:31:49,600 --> 00:31:51,880
Speaker 1: drugs in the kid. And then they saw you on

622
00:31:52,000 --> 00:32:04,000
Speaker 1: video buying it. Like hello, guys, you're gonna love the

623
00:32:04,040 --> 00:32:06,160
Speaker 1: gross room. It is on Salve right now for just

624
00:32:06,240 --> 00:32:09,200
Speaker 1: twenty dollars for the whole entire year of gross. That's

625
00:32:09,280 --> 00:32:14,560
Speaker 1: three hundred and sixty five days of thousands of videos, posts,

626
00:32:14,600 --> 00:32:16,880
Speaker 1: photos of all this kind of stuff that we talk

627
00:32:16,920 --> 00:32:18,960
Speaker 1: about all the time. But we go into a lot

628
00:32:19,000 --> 00:32:22,240
Speaker 1: more detail on all of the cases. This week's high

629
00:32:22,280 --> 00:32:27,640
Speaker 1: profile death dissection, as promised, is necrophilia, and we get

630
00:32:27,640 --> 00:32:31,200
Speaker 1: into a lot of really disturbing things that I probably

631
00:32:31,280 --> 00:32:35,320
Speaker 1: was way better off not knowing. We also talk about

632
00:32:35,360 --> 00:32:38,520
Speaker 1: a case this week of extreme constipation, and there's so

633
00:32:38,640 --> 00:32:42,400
Speaker 1: much more. We have also just talking about that school shooting.

634
00:32:42,480 --> 00:32:46,200
Speaker 1: I uploaded the photo that the video of that woman

635
00:32:46,720 --> 00:32:49,840
Speaker 1: that went viral on social media to and we had

636
00:32:49,840 --> 00:32:54,680
Speaker 1: a discussion about about this citizen journalism that we like

637
00:32:54,800 --> 00:32:58,480
Speaker 1: to call it that, and it's it's very interesting because

638
00:32:58,520 --> 00:33:00,880
Speaker 1: most people kind of are on the same page that

639
00:33:00,920 --> 00:33:03,600
Speaker 1: this needs to be a trend that stops. So it's

640
00:33:03,640 --> 00:33:07,040
Speaker 1: cool because the members get to discuss it in the Grossroom. Yeah,

641
00:33:07,120 --> 00:33:09,680
Speaker 1: head over to the grossroom dot com now to sign up.

642
00:33:15,800 --> 00:33:19,760
Speaker 1: Oh god, this next story is is really terrible? Is

643
00:33:19,800 --> 00:33:23,000
Speaker 1: it not? Like so bizarre how everything went down? It

644
00:33:23,080 --> 00:33:26,280
Speaker 1: just doesn't really add up. So in the Bronx, police

645
00:33:26,280 --> 00:33:28,800
Speaker 1: got this anonymous call to check on this apartment because

646
00:33:28,840 --> 00:33:31,240
Speaker 1: of a foul odor and neighbors saying they hadn't seen

647
00:33:31,280 --> 00:33:33,840
Speaker 1: this woman or her children in a couple of weeks.

648
00:33:34,160 --> 00:33:36,400
Speaker 1: So they go knock on the door and nobody answered,

649
00:33:36,440 --> 00:33:38,200
Speaker 1: and they're saying, oh, we don't have a right to

650
00:33:38,280 --> 00:33:41,960
Speaker 1: barge in, so we'll come back in a couple of days. Yeah,

651
00:33:42,000 --> 00:33:43,920
Speaker 1: that's where it gets weird to me. And I don't

652
00:33:43,920 --> 00:33:46,760
Speaker 1: know what the rules of that are, but Apparently the

653
00:33:46,760 --> 00:33:49,240
Speaker 1: neighbors were calling and saying, not only did they not

654
00:33:49,360 --> 00:33:51,600
Speaker 1: see the kids, but there was like a weird smell

655
00:33:51,640 --> 00:33:53,520
Speaker 1: coming from the house. But I guess the cops said

656
00:33:53,520 --> 00:33:56,640
Speaker 1: they didn't smell it, so that's why they didn't feel

657
00:33:56,640 --> 00:33:58,160
Speaker 1: like they had reason to break in.

658
00:33:58,520 --> 00:34:00,600
Speaker 2: And I guess you could kind of under stand.

659
00:34:00,360 --> 00:34:03,960
Speaker 1: That because like, listen, like what if I just went

660
00:34:04,000 --> 00:34:07,640
Speaker 1: on vacation for two weeks with with Gabe and the girls,

661
00:34:07,720 --> 00:34:09,640
Speaker 1: and then one of my neighbors was like, that's weird.

662
00:34:09,719 --> 00:34:11,239
Speaker 1: We haven't seen them in a couple of weeks, Like,

663
00:34:11,280 --> 00:34:12,840
Speaker 1: they can't just break into my house.

664
00:34:13,000 --> 00:34:13,920
Speaker 2: I understand that.

665
00:34:14,000 --> 00:34:16,880
Speaker 1: I'm more like the foul smell, Like if the neighbors

666
00:34:16,920 --> 00:34:19,120
Speaker 1: were smelling it, how did the cops not smell it?

667
00:34:19,160 --> 00:34:22,080
Speaker 1: And clearly it was a d cop smell, and I'm

668
00:34:22,120 --> 00:34:25,440
Speaker 1: assuming police officers are familiar with that ouder. I don't know,

669
00:34:25,520 --> 00:34:28,480
Speaker 1: they must maybe I don't know if that's the thing,

670
00:34:28,560 --> 00:34:30,680
Speaker 1: but I mean they said they didn't smell, so whatever.

671
00:34:31,000 --> 00:34:34,280
Speaker 1: So anyway, apparently, a couple days later, the landlord calls

672
00:34:34,320 --> 00:34:37,760
Speaker 1: this woman, the renter's father and asked if she moved

673
00:34:37,800 --> 00:34:40,480
Speaker 1: out because he hadn't heard from her and I'm like, again,

674
00:34:41,120 --> 00:34:43,640
Speaker 1: you're not like knocking on the door, going in there

675
00:34:43,719 --> 00:34:46,160
Speaker 1: or anything. So the dad was like, you know what,

676
00:34:46,200 --> 00:34:47,840
Speaker 1: I haven't really heard from her in a couple of

677
00:34:47,880 --> 00:34:49,920
Speaker 1: days and called her older daughter and take, can you

678
00:34:49,920 --> 00:34:52,239
Speaker 1: go check on your mom and your siblings. So the

679
00:34:52,320 --> 00:34:54,440
Speaker 1: daughter goes to the apartment and then ends up finding

680
00:34:54,480 --> 00:34:56,680
Speaker 1: her mother and her eight year old brother dead. Well,

681
00:34:56,719 --> 00:34:59,359
Speaker 1: her four year old sister is alive and had been

682
00:34:59,400 --> 00:35:01,200
Speaker 1: surviving on eating chocolate.

683
00:35:01,880 --> 00:35:04,439
Speaker 2: God thank god, she's only four.

684
00:35:04,520 --> 00:35:07,000
Speaker 1: I mean, I know that there'll be parts of that

685
00:35:07,000 --> 00:35:09,920
Speaker 1: that she'll remember, but like, at least she's not a

686
00:35:09,920 --> 00:35:15,280
Speaker 1: little bit older. Yeah, because how terrible. So I guess

687
00:35:15,280 --> 00:35:19,160
Speaker 1: the mom the mom was pretty young. She was she

688
00:35:19,360 --> 00:35:24,239
Speaker 1: was thirty eight, So her son was born premature and

689
00:35:24,280 --> 00:35:28,319
Speaker 1: had a feeding tube and they so they believe the

690
00:35:28,400 --> 00:35:30,120
Speaker 1: thirty eight year old they're going to have to do

691
00:35:30,160 --> 00:35:32,360
Speaker 1: an autopsy and see exactly what she died. But she

692
00:35:32,440 --> 00:35:36,319
Speaker 1: had a long standing history of mental illness, possibly bipolar.

693
00:35:37,280 --> 00:35:39,759
Speaker 1: I don't know, in my opinion, based upon some of

694
00:35:39,760 --> 00:35:43,600
Speaker 1: the things I'm hearing from the neighbors, possible schizophrenia or

695
00:35:43,640 --> 00:35:48,000
Speaker 1: something that was causing psychosis. And they don't really know

696
00:35:48,120 --> 00:35:50,160
Speaker 1: exactly she had a history of asthma. They don't know

697
00:35:50,440 --> 00:35:53,680
Speaker 1: exactly how she died, but they think that the kid,

698
00:35:54,000 --> 00:35:58,120
Speaker 1: the boy with the feeding tube, is probably likely starved

699
00:35:58,160 --> 00:36:02,640
Speaker 1: to death because obviously there was no one to feed

700
00:36:02,640 --> 00:36:07,240
Speaker 1: the kid, which is so heartbreaking. And then the little

701
00:36:07,280 --> 00:36:09,799
Speaker 1: girl who was only four years old was surviving off

702
00:36:09,840 --> 00:36:12,960
Speaker 1: of chocolate, but was in this apartment with two with

703
00:36:13,080 --> 00:36:18,680
Speaker 1: her brother and her mother dead, bloated, decomposing maggots, flies

704
00:36:18,920 --> 00:36:21,880
Speaker 1: like the whole nine yards, I mean, just with this

705
00:36:21,920 --> 00:36:24,960
Speaker 1: whole thing too. They didn't hear this kid screaming or

706
00:36:25,000 --> 00:36:26,520
Speaker 1: making any noise or anything.

707
00:36:27,480 --> 00:36:28,520
Speaker 2: I don't know.

708
00:36:28,560 --> 00:36:31,240
Speaker 1: Maybe the kid was is in some kind of shock

709
00:36:31,320 --> 00:36:34,160
Speaker 1: that she just didn't she'd I don't even know how

710
00:36:34,200 --> 00:36:36,960
Speaker 1: a person reacts in that, and especially a little kid.

711
00:36:38,120 --> 00:36:41,160
Speaker 1: I mean, luckily, she's alive, and hopefully she's going to

712
00:36:41,200 --> 00:36:43,520
Speaker 1: go she's going to be with the with the rest

713
00:36:43,520 --> 00:36:45,920
Speaker 1: of her family now right or at least is right now,

714
00:36:45,960 --> 00:36:49,120
Speaker 1: and hopefully she'll go on to have a normal life.

715
00:36:49,160 --> 00:36:53,600
Speaker 1: Because this is just so it's just so disturbing, and

716
00:36:53,320 --> 00:36:56,880
Speaker 1: it's actually really disturbing for that other child, the older

717
00:36:56,960 --> 00:36:59,960
Speaker 1: child that had walked in and found that well, of course,

718
00:37:00,239 --> 00:37:03,800
Speaker 1: because you're also like, police could have possibly discovered this

719
00:37:04,000 --> 00:37:06,719
Speaker 1: days before and saved that daughter from having to see

720
00:37:06,760 --> 00:37:11,040
Speaker 1: that scene. So what really bothers me about this case

721
00:37:11,280 --> 00:37:15,640
Speaker 1: more than anything is that this mom apparently had a

722
00:37:15,760 --> 00:37:19,719
Speaker 1: child services case pending against her, because back in twenty

723
00:37:19,920 --> 00:37:24,040
Speaker 1: twenty one she was put on child abandonment charges because

724
00:37:24,040 --> 00:37:27,839
Speaker 1: she was caught acting erratically swinging her then infant daughter.

725
00:37:27,920 --> 00:37:30,520
Speaker 1: So that's the four year old around in a stroller

726
00:37:30,560 --> 00:37:33,040
Speaker 1: and lighting a wig on fire in front of a store.

727
00:37:33,719 --> 00:37:36,640
Speaker 1: And then the neighbors were saying that she had multiple

728
00:37:36,719 --> 00:37:39,600
Speaker 1: episodes of like one time she threw paint out the

729
00:37:39,640 --> 00:37:41,960
Speaker 1: window and then she said that the devil was talking

730
00:37:41,960 --> 00:37:43,640
Speaker 1: to her. This is what's making me think that she

731
00:37:43,680 --> 00:37:47,839
Speaker 1: has some kind of psychosis, and made several references to

732
00:37:47,880 --> 00:37:51,000
Speaker 1: the devil talking to her. She went on the building's

733
00:37:51,080 --> 00:37:54,000
Speaker 1: rooftop a couple years ago with the boy, the one

734
00:37:54,040 --> 00:37:57,040
Speaker 1: that was born premature, and said that she wanted to

735
00:37:57,160 --> 00:38:01,799
Speaker 1: kill herself and him, And she also said she wanted

736
00:38:01,800 --> 00:38:03,759
Speaker 1: to kill everyone on the block. Like why was she

737
00:38:03,880 --> 00:38:06,040
Speaker 1: allowed to have access to her children.

738
00:38:05,840 --> 00:38:08,040
Speaker 2: At all, be alone with them?

739
00:38:08,320 --> 00:38:11,560
Speaker 1: That With that in mind, that's even more concerning Yeah.

740
00:38:11,640 --> 00:38:14,239
Speaker 1: So I mean that to me is like, and god,

741
00:38:14,360 --> 00:38:16,680
Speaker 1: we hear about this with every single case when child

742
00:38:16,760 --> 00:38:19,520
Speaker 1: Service is involved. It seems like such a shit show

743
00:38:19,520 --> 00:38:23,000
Speaker 1: in every single state in the country. But I just

744
00:38:23,080 --> 00:38:25,560
Speaker 1: am like, I don't even understand how those kids So

745
00:38:25,640 --> 00:38:27,799
Speaker 1: now it's like, well, one's dead and the other one

746
00:38:28,040 --> 00:38:32,440
Speaker 1: has severe emotional trauma and possibly even medical issues for

747
00:38:32,520 --> 00:38:36,080
Speaker 1: not eating for for however long the bodies were gone.

748
00:38:37,520 --> 00:38:39,239
Speaker 2: Yeah, I just I hate hearing this.

749
00:38:39,400 --> 00:38:41,960
Speaker 1: I mean, yeah, we saw with the Ruby Frank case too,

750
00:38:42,000 --> 00:38:44,239
Speaker 1: where people had been very hip to what was going

751
00:38:44,280 --> 00:38:46,399
Speaker 1: on and sent child Services and they're just like, well,

752
00:38:46,400 --> 00:38:49,520
Speaker 1: we don't see anything wrong. And of course, of course

753
00:38:49,560 --> 00:38:52,479
Speaker 1: you shouldn't just willy nilly have your kids taken away

754
00:38:52,480 --> 00:38:55,920
Speaker 1: from you, obviously, but if it's this severe, come on,

755
00:38:57,160 --> 00:38:59,440
Speaker 1: I just think alone, if you're standing on top of

756
00:38:59,480 --> 00:39:02,719
Speaker 1: a roof threatening to kill yourself and your child, I

757
00:39:02,760 --> 00:39:05,319
Speaker 1: think that alone, is just like, Okay, these kids need

758
00:39:05,360 --> 00:39:07,880
Speaker 1: to get taken away for a while until we figure

759
00:39:08,040 --> 00:39:09,200
Speaker 1: out what's going on here.

760
00:39:09,480 --> 00:39:10,919
Speaker 2: No, of course, all.

761
00:39:10,880 --> 00:39:15,120
Speaker 1: Right, So this next story is it's weird because when

762
00:39:15,120 --> 00:39:17,680
Speaker 1: we started looking it up, it happened like over ten

763
00:39:17,760 --> 00:39:20,000
Speaker 1: years ago, but all of these people were sending it

764
00:39:20,040 --> 00:39:22,200
Speaker 1: to us this week because apparently it was going viral

765
00:39:22,239 --> 00:39:24,160
Speaker 1: on TikTok, So we thought we'll talk about it because

766
00:39:24,160 --> 00:39:24,800
Speaker 1: it's interesting.

767
00:39:25,120 --> 00:39:25,359
Speaker 2: Yeah.

768
00:39:25,360 --> 00:39:27,920
Speaker 1: So this goes back to twenty twelve, and it certainly

769
00:39:28,000 --> 00:39:31,280
Speaker 1: is interesting. So this woman's boss told her she needed

770
00:39:31,320 --> 00:39:34,080
Speaker 1: a new kidney, and because this lady was just nice,

771
00:39:34,160 --> 00:39:37,280
Speaker 1: she said she offered to donate her kidney to the boss.

772
00:39:37,920 --> 00:39:41,040
Speaker 1: So it turns out that she wasn't a match for

773
00:39:41,080 --> 00:39:43,840
Speaker 1: her boss, but doctors had said that if she donated

774
00:39:43,880 --> 00:39:46,480
Speaker 1: her kidney too another patient, that it would move her

775
00:39:46,560 --> 00:39:49,560
Speaker 1: boss up on the list. This woman goes forward and

776
00:39:49,640 --> 00:39:52,800
Speaker 1: has her kidney removed. It took her longer than expected

777
00:39:52,840 --> 00:39:55,560
Speaker 1: to recover, and then when she goes back to work,

778
00:39:55,800 --> 00:39:58,640
Speaker 1: the boss is first criticizing her for how long it

779
00:39:58,680 --> 00:40:01,120
Speaker 1: took her to come back to work after her recovery,

780
00:40:01,480 --> 00:40:05,120
Speaker 1: and then ends up just getting totally abusive. She demotes her,

781
00:40:05,200 --> 00:40:08,200
Speaker 1: she transferred her to a different location which was really

782
00:40:08,239 --> 00:40:11,000
Speaker 1: far from her home, and it just kept continuing on

783
00:40:11,040 --> 00:40:13,040
Speaker 1: and on and on to the point where the woman

784
00:40:13,080 --> 00:40:17,040
Speaker 1: eventually got fired. So she's like donating an organ to

785
00:40:17,120 --> 00:40:19,120
Speaker 1: help her boss out, and then the same boss ends.

786
00:40:19,000 --> 00:40:20,720
Speaker 2: Up firing her months later.

787
00:40:21,040 --> 00:40:24,799
Speaker 1: Yeah, the whole thing is just outrageous. And I think

788
00:40:24,840 --> 00:40:27,920
Speaker 1: that in general, like this lady is just a really

789
00:40:28,600 --> 00:40:31,879
Speaker 1: nice person and she felt terrible for this lady. I mean,

790
00:40:31,880 --> 00:40:34,080
Speaker 1: you feel terrible when you see that somebody is going

791
00:40:34,120 --> 00:40:36,520
Speaker 1: to die without getting an organ and you could potentially

792
00:40:36,560 --> 00:40:39,160
Speaker 1: help them. But at the same time, this lady was

793
00:40:39,239 --> 00:40:43,680
Speaker 1: a divorced mom of two, So getting a surgery like that,

794
00:40:44,280 --> 00:40:46,680
Speaker 1: you're putting your own life at risk as well for

795
00:40:46,800 --> 00:40:48,919
Speaker 1: something like this, And it wasn't even for like her

796
00:40:48,960 --> 00:40:52,960
Speaker 1: sister or her parent, it was for her boss. And

797
00:40:53,200 --> 00:40:55,760
Speaker 1: on top of that, so when you say about being

798
00:40:56,160 --> 00:40:59,480
Speaker 1: a good match with somebody when you get organ donation,

799
00:40:59,600 --> 00:41:02,440
Speaker 1: there's three different types of tests done, which is they

800
00:41:02,480 --> 00:41:05,239
Speaker 1: test your blood type, they do a cross match, and

801
00:41:05,280 --> 00:41:09,239
Speaker 1: then they do HLA testing. And HLA testing is done

802
00:41:09,239 --> 00:41:12,680
Speaker 1: because there's these different proteins on the cells and they

803
00:41:12,719 --> 00:41:16,280
Speaker 1: want to make sure that they found that there's six

804
00:41:16,360 --> 00:41:18,879
Speaker 1: of them that are the best you have the best

805
00:41:18,960 --> 00:41:21,799
Speaker 1: chances of not rejecting the organ. So if they can

806
00:41:21,880 --> 00:41:25,080
Speaker 1: get a match to as close to six of them

807
00:41:25,120 --> 00:41:28,960
Speaker 1: as possible, the better chance you are of not rejecting

808
00:41:29,160 --> 00:41:33,359
Speaker 1: the organ. So obviously an identical twin would have the

809
00:41:33,400 --> 00:41:36,440
Speaker 1: same match as this person. A sibling could have a

810
00:41:36,520 --> 00:41:40,040
Speaker 1: very close match, but like someone that's complete strangers, the

811
00:41:40,160 --> 00:41:43,000
Speaker 1: chances of all of those tests matching up are are

812
00:41:43,040 --> 00:41:47,200
Speaker 1: not always great. So she was she was being extra

813
00:41:47,280 --> 00:41:50,480
Speaker 1: nice to just give it to a complete random stranger

814
00:41:50,560 --> 00:41:53,640
Speaker 1: in order to just give her one chance on the list.

815
00:41:54,200 --> 00:41:57,160
Speaker 1: Is that normal that they would recommend that, because that

816
00:41:57,320 --> 00:42:00,520
Speaker 1: mean that they're like, oh, well, we know you're not match,

817
00:42:00,600 --> 00:42:04,200
Speaker 1: but just give it to someone else to push her up. No.

818
00:42:04,760 --> 00:42:07,759
Speaker 1: I just felt like that was personally Yeah, I personally

819
00:42:07,840 --> 00:42:12,560
Speaker 1: think that I can't imagine that someone would actually say

820
00:42:12,560 --> 00:42:16,120
Speaker 1: that to her, but they might say, like, hey, they

821
00:42:16,280 --> 00:42:20,560
Speaker 1: they definitely would ask because they just need kidney donors, right.

822
00:42:21,000 --> 00:42:23,799
Speaker 1: They would definitely say like, hey, I know you didn't

823
00:42:23,840 --> 00:42:27,360
Speaker 1: match for this person, but if you were to donate

824
00:42:27,400 --> 00:42:29,920
Speaker 1: your kidney, it could go to someone else, Like I

825
00:42:29,920 --> 00:42:32,239
Speaker 1: guess in theory, they would say that out loud to her,

826
00:42:32,239 --> 00:42:34,520
Speaker 1: but they wouldn't pressure her at all to do it.

827
00:42:34,600 --> 00:42:37,600
Speaker 1: They would just tell her that, like, hey, in theory,

828
00:42:37,600 --> 00:42:39,319
Speaker 1: if you give it to someone else, then that's one

829
00:42:39,400 --> 00:42:41,600
Speaker 1: less person on the list. Although I just think that

830
00:42:41,600 --> 00:42:43,799
Speaker 1: that's ridiculous because the list is just so long.

831
00:42:43,840 --> 00:42:47,200
Speaker 2: So I don't, I don't know. I don't.

832
00:42:47,360 --> 00:42:50,480
Speaker 1: I don't know honestly, like what the whole story is.

833
00:42:50,560 --> 00:42:54,000
Speaker 1: But it's it's just interesting that this lady went all

834
00:42:54,040 --> 00:42:57,840
Speaker 1: the way through with this and and then But but like,

835
00:42:57,920 --> 00:43:01,080
Speaker 1: at the same time, you're not guaranteed to be to

836
00:43:01,160 --> 00:43:03,360
Speaker 1: have a job for the rest of your life because

837
00:43:03,360 --> 00:43:06,280
Speaker 1: of it. Okay, So at first, when I was reading

838
00:43:06,320 --> 00:43:08,839
Speaker 1: this story, I thought that she ended up giving her

839
00:43:09,239 --> 00:43:11,640
Speaker 1: her kidney to the boss, and the boss went through

840
00:43:11,640 --> 00:43:13,719
Speaker 1: with the surgery as well and got her kidney right.

841
00:43:13,920 --> 00:43:16,200
Speaker 1: And remember I had written that article for the Gross

842
00:43:16,239 --> 00:43:19,120
Speaker 1: Room about people that got organ transplants that started taking

843
00:43:19,120 --> 00:43:22,759
Speaker 1: on personality traits, yeah, of the purse.

844
00:43:22,600 --> 00:43:24,400
Speaker 2: Of the organ they were donated.

845
00:43:24,680 --> 00:43:27,080
Speaker 1: So I was thinking, like, what if she had some

846
00:43:27,160 --> 00:43:31,360
Speaker 1: residual hate in her body transferred to the boss.

847
00:43:31,719 --> 00:43:32,120
Speaker 2: I don't know.

848
00:43:32,360 --> 00:43:36,440
Speaker 1: So it's so ridiculous that that is ridiculous. Important the

849
00:43:36,520 --> 00:43:40,360
Speaker 1: concept that people get organ donations or organ transplants and

850
00:43:40,480 --> 00:43:43,400
Speaker 1: end up taking the qualities from the donors is ridiculous

851
00:43:43,400 --> 00:43:43,880
Speaker 1: in general.

852
00:43:44,000 --> 00:43:44,640
Speaker 2: It is cool.

853
00:43:45,400 --> 00:43:47,720
Speaker 1: Wait, this just made me think of something, didn't something

854
00:43:47,800 --> 00:43:50,279
Speaker 1: like this happen with Selena Gomez that she.

855
00:43:50,360 --> 00:43:53,719
Speaker 2: Got a kid like what happened with that?

856
00:43:54,840 --> 00:43:58,719
Speaker 1: So from my memory, her best friend at the time

857
00:43:59,000 --> 00:44:02,279
Speaker 1: donated because Selena Govez has lupis and she needed a

858
00:44:02,360 --> 00:44:06,640
Speaker 1: kidney transplant, and from my understanding, her best friend at

859
00:44:06,680 --> 00:44:09,759
Speaker 1: the time donated her kidney, and then they ended up

860
00:44:09,960 --> 00:44:12,279
Speaker 1: like not being friends a couple of years later, and

861
00:44:12,360 --> 00:44:15,920
Speaker 1: everybody was criticizing Selena Goas for that, saying this woman.

862
00:44:16,400 --> 00:44:17,960
Speaker 2: So it's essentially the same thing.

863
00:44:18,680 --> 00:44:21,600
Speaker 1: It's kind of the same thing, like like people were

864
00:44:21,680 --> 00:44:24,000
Speaker 1: accusing her of using this girl to get a kidney,

865
00:44:24,120 --> 00:44:26,000
Speaker 1: and then I was like, yeah, I don't need you anymore.

866
00:44:26,320 --> 00:44:26,600
Speaker 2: Yeah.

867
00:44:26,640 --> 00:44:29,960
Speaker 1: Basically, well now she's got the anger of the organ

868
00:44:30,000 --> 00:44:32,600
Speaker 1: inside her body, so she can't escape it. I know

869
00:44:32,719 --> 00:44:35,080
Speaker 1: that is so ridiculous to say, but when I was

870
00:44:35,120 --> 00:44:38,280
Speaker 1: writing that article about the people taking all the different traits,

871
00:44:38,280 --> 00:44:40,040
Speaker 1: I was like, there's just no way this is real.

872
00:44:40,320 --> 00:44:42,239
Speaker 1: And then so many people in the gross room were

873
00:44:42,239 --> 00:44:45,480
Speaker 1: saying they knew somebody that happened to I'm just like,

874
00:44:45,520 --> 00:44:47,640
Speaker 1: there's no way this is a possibility.

875
00:44:48,280 --> 00:44:50,520
Speaker 2: No, it is. I've heard that before, for sure.

876
00:44:50,880 --> 00:44:53,520
Speaker 1: It's so ridiculous, but it also could just be like

877
00:44:53,680 --> 00:44:57,280
Speaker 1: a placebo thing like you you know, you just wouldn't

878
00:44:57,320 --> 00:45:01,000
Speaker 1: really notice it if, like, like right now, if I

879
00:45:01,160 --> 00:45:03,400
Speaker 1: had another organ in me, I could be like, you know,

880
00:45:03,520 --> 00:45:06,400
Speaker 1: I have been thinking differently lately, you know, like you

881
00:45:06,400 --> 00:45:08,719
Speaker 1: could tell yourself a lot of different things.

882
00:45:09,200 --> 00:45:10,720
Speaker 2: Well, I believe the one.

883
00:45:10,600 --> 00:45:12,920
Speaker 1: Lady I wrote about said she hated beer, and then

884
00:45:13,000 --> 00:45:15,840
Speaker 1: after she got an organ transplant, it's all she ever wanted,

885
00:45:15,960 --> 00:45:18,640
Speaker 1: which is so weird. You know what, There's certain things

886
00:45:18,640 --> 00:45:20,320
Speaker 1: in life that you're like, I used to love that,

887
00:45:20,480 --> 00:45:23,040
Speaker 1: Like Momm's a good example. She used to drink coffee

888
00:45:23,040 --> 00:45:25,480
Speaker 1: all the time, and now she doesn't like coffee anymore.

889
00:45:25,600 --> 00:45:29,080
Speaker 1: Like it's just because she's weird. It has nothing to

890
00:45:29,120 --> 00:45:32,800
Speaker 1: do with the organ transplant. Speaking of weird, this Friday,

891
00:45:32,840 --> 00:45:35,560
Speaker 1: the world's first competitive sperm race will be held at

892
00:45:35,560 --> 00:45:39,840
Speaker 1: the Hollywood Palladium. I am really curious as to like

893
00:45:40,080 --> 00:45:44,200
Speaker 1: how these people got together and even really thought about this,

894
00:45:44,320 --> 00:45:47,200
Speaker 1: But I honestly it's kind of cool. Well it's even

895
00:45:47,239 --> 00:45:50,279
Speaker 1: weirder because it's four teenagers that are spirit aading this

896
00:45:50,360 --> 00:45:55,160
Speaker 1: whole thing. So when I worked in psychology, I used

897
00:45:55,200 --> 00:45:57,680
Speaker 1: to have to look at seman specimens under the microscope

898
00:45:57,719 --> 00:46:01,000
Speaker 1: for people who were not only having fertility issues but

899
00:46:01,080 --> 00:46:04,000
Speaker 1: also ones that were post getting a vasectomy to make

900
00:46:04,040 --> 00:46:06,560
Speaker 1: sure that it worked. And the whole thing was just

901
00:46:06,680 --> 00:46:10,120
Speaker 1: like I just I'm not into it. You know why

902
00:46:10,160 --> 00:46:13,279
Speaker 1: I wasn't into it because the lab that I worked at,

903
00:46:13,920 --> 00:46:16,840
Speaker 1: it wasn't just like I got this cop of semen

904
00:46:16,920 --> 00:46:19,080
Speaker 1: and that's it. It was just like you saw the

905
00:46:19,120 --> 00:46:22,200
Speaker 1: guy that was dropping it off to you and they

906
00:46:22,239 --> 00:46:24,279
Speaker 1: had to go jerk off in the bathroom, like the

907
00:46:24,360 --> 00:46:28,759
Speaker 1: same bathroom that we used as same reise. And one

908
00:46:28,760 --> 00:46:31,759
Speaker 1: time one of my coworkers worked walked in on a

909
00:46:31,800 --> 00:46:34,000
Speaker 1: guy that was sitting on the floor like jerking off.

910
00:46:34,040 --> 00:46:35,759
Speaker 1: There was a toilet, he could have been sitting on

911
00:46:35,760 --> 00:46:37,360
Speaker 1: the toilet, but he was sitting in the middle of

912
00:46:37,360 --> 00:46:40,759
Speaker 1: the floor, and she just like it was it was like,

913
00:46:40,840 --> 00:46:43,360
Speaker 1: actually hilarious. He left and didn't give his specimen. I

914
00:46:43,400 --> 00:46:47,880
Speaker 1: mean obviously, like it's weird. They didn't have a specific

915
00:46:47,960 --> 00:46:50,520
Speaker 1: room for them, because I feel like fertility clinics have

916
00:46:50,680 --> 00:46:54,080
Speaker 1: like special little rooms for well, it wasn't a fertility clinic.

917
00:46:54,120 --> 00:46:56,919
Speaker 1: That's why it was the hospital, like cold Cut Dry

918
00:46:57,000 --> 00:46:59,359
Speaker 1: City hospital, Like I don't know what to tell you.

919
00:46:59,440 --> 00:47:01,480
Speaker 1: I just thought it was I just thought it was weird,

920
00:47:01,520 --> 00:47:03,799
Speaker 1: and like I'd be like, oh, I have to go

921
00:47:03,840 --> 00:47:05,719
Speaker 1: to the bathroom, and then I would walk down the

922
00:47:05,719 --> 00:47:08,400
Speaker 1: hallway and like see this guy there. It just was

923
00:47:08,480 --> 00:47:10,680
Speaker 1: so awkward, and I knew what he was doing in there,

924
00:47:10,719 --> 00:47:12,719
Speaker 1: so it just was like, I don't know, I just

925
00:47:12,840 --> 00:47:14,160
Speaker 1: was kind of uncomfortable with it.

926
00:47:14,160 --> 00:47:14,680
Speaker 2: It was weird.

927
00:47:15,080 --> 00:47:18,080
Speaker 1: But so what they're doing is they're doing this live

928
00:47:18,160 --> 00:47:21,880
Speaker 1: feed that's magnified forty times and it shows the sperm

929
00:47:21,920 --> 00:47:26,799
Speaker 1: which are only zero point five millimeters small, and they

930
00:47:26,840 --> 00:47:30,680
Speaker 1: swim five millimeters a minute. So it's saying that each

931
00:47:30,800 --> 00:47:34,080
Speaker 1: race will take about forty minutes and whoever crosses the

932
00:47:34,120 --> 00:47:40,080
Speaker 1: finish line first is the winner. Well, it's it's just

933
00:47:40,120 --> 00:47:43,279
Speaker 1: so funny. So they're taking the samples from two male

934
00:47:43,320 --> 00:47:47,839
Speaker 1: students with matching biomarkers at rival schools, so they it's

935
00:47:47,880 --> 00:47:52,279
Speaker 1: like UCLA versus USC. So, yeah, they said, once the

936
00:47:52,320 --> 00:47:54,359
Speaker 1: samples are taken, they're gonna place them in a pipe

937
00:47:54,400 --> 00:47:56,880
Speaker 1: bett and inject them into this device in the center

938
00:47:56,920 --> 00:47:58,840
Speaker 1: of the venue, and then they're gonna live stream it.

939
00:47:58,920 --> 00:48:01,279
Speaker 1: Like you're saying, So it's going to be just like

940
00:48:01,360 --> 00:48:04,719
Speaker 1: every other sporting event, there's going to be live commentating, replays,

941
00:48:04,760 --> 00:48:09,560
Speaker 1: and even sports betting. It's kind of amazing that they

942
00:48:09,560 --> 00:48:12,880
Speaker 1: thought of this, honestly. Well, they're trying to bring awareness

943
00:48:12,920 --> 00:48:16,239
Speaker 1: to male infertility because apparently in twenty twenty two, a

944
00:48:16,280 --> 00:48:20,120
Speaker 1: study was published in Human Reproductive Update Journal and said

945
00:48:20,120 --> 00:48:22,920
Speaker 1: that male sperm counts have been declining more than fifty

946
00:48:22,920 --> 00:48:27,760
Speaker 1: percent in the past five decades, so there's clearly something

947
00:48:27,800 --> 00:48:30,160
Speaker 1: going on. They say that it could be due to

948
00:48:30,920 --> 00:48:37,400
Speaker 1: a low sperm count because of alcohol and drinking. Honestly, like,

949
00:48:37,520 --> 00:48:40,040
Speaker 1: people don't want to say that that affects it, but

950
00:48:40,200 --> 00:48:47,080
Speaker 1: it does. So smoking, drinking, alcohol, regular sleep patterns, maintaining

951
00:48:47,080 --> 00:48:50,240
Speaker 1: a healthy way. Again, obesity is shown to lower sperm counts.

952
00:48:50,280 --> 00:48:53,680
Speaker 1: So they're just trying to bring awareness to it and

953
00:48:53,719 --> 00:48:58,120
Speaker 1: hopefully like increase sperm counts in men. I guess with

954
00:48:58,200 --> 00:48:59,960
Speaker 1: this awareness.

955
00:48:59,400 --> 00:49:01,719
Speaker 2: It's kind of amazing, all right.

956
00:49:01,760 --> 00:49:06,400
Speaker 1: So, speaking of speaking of semen, there's a new viral

957
00:49:06,440 --> 00:49:10,560
Speaker 1: TikTok going around. Yeah, this video is going around discussing

958
00:49:10,600 --> 00:49:13,920
Speaker 1: the benefits of swallowing sperm, but people are really up

959
00:49:13,920 --> 00:49:18,000
Speaker 1: in arms about it. So this there's a woman that's

960
00:49:18,040 --> 00:49:20,359
Speaker 1: in scrubs. Now, this is something that I don't think

961
00:49:20,360 --> 00:49:22,319
Speaker 1: we've talked about on the show too, but I've been

962
00:49:22,360 --> 00:49:25,400
Speaker 1: seeing a lot that there's like these weird AI videos

963
00:49:25,440 --> 00:49:28,560
Speaker 1: going around that there's people that have accounts that are

964
00:49:28,600 --> 00:49:31,160
Speaker 1: pretending to be doctors and like the whole entire thing

965
00:49:31,239 --> 00:49:34,040
Speaker 1: is AI. Like the person's into scrubs. Well, yeah, of

966
00:49:34,040 --> 00:49:37,640
Speaker 1: course it's probably been going on for years. Yeah, exactly. So,

967
00:49:37,640 --> 00:49:41,080
Speaker 1: so it's a woman that's in scrubs and it's saying

968
00:49:41,120 --> 00:49:45,719
Speaker 1: that semen is it offers women health benefits. I guess

969
00:49:45,840 --> 00:49:50,160
Speaker 1: men too for swallowing. It helps you get better sleep,

970
00:49:50,239 --> 00:49:55,000
Speaker 1: is a natural antidepressant, improves memory, gives you energy back,

971
00:49:55,160 --> 00:49:59,000
Speaker 1: It's it's multi vitamins, gives you, it says, gives you

972
00:49:59,160 --> 00:50:01,640
Speaker 1: best appetit, which to me, I'm kind of like, who

973
00:50:01,680 --> 00:50:04,720
Speaker 1: the fuck talks like that? Well, AI talks like that exactly.

974
00:50:04,800 --> 00:50:08,480
Speaker 1: That's what makes me think AI it's a natural pain reliever,

975
00:50:08,960 --> 00:50:14,160
Speaker 1: prevents morning sickness, and helps you glow when you're after

976
00:50:14,239 --> 00:50:17,160
Speaker 1: you have a baby and and while you're pregnant too,

977
00:50:17,280 --> 00:50:20,880
Speaker 1: and also is good for postmenopausal health. It sounds like

978
00:50:20,960 --> 00:50:24,520
Speaker 1: some guy made this video with AI that's just like, Yeah,

979
00:50:24,560 --> 00:50:27,800
Speaker 1: I just want to give like women and men reasons

980
00:50:27,800 --> 00:50:30,160
Speaker 1: to give blowjobs all the time, all the way up

981
00:50:30,239 --> 00:50:32,600
Speaker 1: until they're old. Like we'll tell them that their bones

982
00:50:32,600 --> 00:50:34,759
Speaker 1: are going to be stronger if they do it. Well,

983
00:50:34,760 --> 00:50:36,719
Speaker 1: that's exactly what I was gonna say. And I was

984
00:50:36,800 --> 00:50:39,440
Speaker 1: listening to a podcast a couple of weeks ago, and

985
00:50:39,480 --> 00:50:41,279
Speaker 1: one of the girls on it was talking about how

986
00:50:41,840 --> 00:50:45,399
Speaker 1: her holistic doctor was trying to suggest that for her,

987
00:50:45,760 --> 00:50:47,719
Speaker 1: and the other women were like, you need to find

988
00:50:47,719 --> 00:50:50,520
Speaker 1: a different doctor. This doesn't sound it is really like

989
00:50:50,600 --> 00:50:53,640
Speaker 1: I mean, if you look at the composition of semen,

990
00:50:53,760 --> 00:50:55,680
Speaker 1: you might say, like, Okay, there's a little bit of

991
00:50:55,680 --> 00:50:57,880
Speaker 1: protein in it, and there's a little bit of nutrients

992
00:50:57,880 --> 00:50:59,360
Speaker 1: in it, and there's a little bit of hormones in

993
00:50:59,440 --> 00:51:05,120
Speaker 1: it that in theory could provide some kind of extra

994
00:51:05,320 --> 00:51:08,359
Speaker 1: benefits to you from swallowing, right, But you would need

995
00:51:08,400 --> 00:51:11,759
Speaker 1: to consume gallons of it in order to get any

996
00:51:11,800 --> 00:51:15,000
Speaker 1: benefits from it, which is just like I'm just saying,

997
00:51:15,440 --> 00:51:18,360
Speaker 1: I'm thinking about like a giant jug of Elmer's glue

998
00:51:18,440 --> 00:51:22,200
Speaker 1: or something nasty. But like it's like come on now,

999
00:51:22,480 --> 00:51:25,480
Speaker 1: like it just it doesn't like you would just need

1000
00:51:25,520 --> 00:51:28,439
Speaker 1: way too much of it. There has been studies done

1001
00:51:28,440 --> 00:51:32,239
Speaker 1: though that shows that it has natural antidepressant effects, but

1002
00:51:32,960 --> 00:51:36,200
Speaker 1: they're not able to say just studied dubbi like I

1003
00:51:36,280 --> 00:51:39,040
Speaker 1: just haven't no, like listen, but listen, Like when they're

1004
00:51:39,120 --> 00:51:42,279
Speaker 1: studying these people, they'll say, Okay, like all of these

1005
00:51:42,320 --> 00:51:45,120
Speaker 1: women it seemed to be having a better mood after

1006
00:51:45,160 --> 00:51:48,120
Speaker 1: doing this study. But like maybe it's just because they

1007
00:51:48,120 --> 00:51:51,640
Speaker 1: had sex, like they it's it's not because of the semen,

1008
00:51:51,719 --> 00:51:54,719
Speaker 1: like they don't know. They're saying, there are other factors

1009
00:51:54,719 --> 00:51:58,279
Speaker 1: that might influence it, such as the sexual activity itself. Like, yeah,

1010
00:51:58,320 --> 00:52:03,160
Speaker 1: you think this scene this seems rigged. I'm called bulsh

1011
00:52:03,440 --> 00:52:05,719
Speaker 1: All right, let's move out the questions of the day.

1012
00:52:05,760 --> 00:52:08,200
Speaker 1: Every Friday at that mother knows that Instagram account, you

1013
00:52:08,239 --> 00:52:10,080
Speaker 1: guys can head over to our story and ask us

1014
00:52:10,120 --> 00:52:13,399
Speaker 1: whatever you want. First, If a morbially obese person were

1015
00:52:13,400 --> 00:52:15,759
Speaker 1: to be stabbed with the fat layer protect from hitting

1016
00:52:15,760 --> 00:52:19,799
Speaker 1: an artery, I mean, yeah, in theory, it could you

1017
00:52:19,880 --> 00:52:24,480
Speaker 1: have the panis layer of the subcutaneous fat. And sometimes

1018
00:52:24,520 --> 00:52:28,040
Speaker 1: when people are morbially obese, it's it's very thick. It

1019
00:52:28,040 --> 00:52:30,920
Speaker 1: could be a couple inches in thickness. So if you're

1020
00:52:30,960 --> 00:52:34,600
Speaker 1: sticking a three inch knife in that normally would get

1021
00:52:34,600 --> 00:52:38,520
Speaker 1: through somebody faster if they were thinner versus hitting that

1022
00:52:38,600 --> 00:52:42,080
Speaker 1: block of fat, then sure, And even you could say

1023
00:52:42,760 --> 00:52:48,359
Speaker 1: visceral or organ fat could also definitely change the trajectory of.

1024
00:52:48,360 --> 00:52:49,320
Speaker 2: A knife angle.

1025
00:52:49,719 --> 00:52:53,120
Speaker 1: It just depends on I mean, like if it's a

1026
00:52:53,160 --> 00:52:57,200
Speaker 1: butcher knife or some long knife that's ten inches long,

1027
00:52:57,280 --> 00:53:00,520
Speaker 1: like that's not going to help anybody. But yeah, if

1028
00:53:00,560 --> 00:53:04,160
Speaker 1: it's a smaller knife, for sure. Two, why don't you

1029
00:53:04,239 --> 00:53:07,560
Speaker 1: all record together anymore? Like in the same room. Well,

1030
00:53:07,640 --> 00:53:10,000
Speaker 1: we've never recorded together in the same room. I was like,

1031
00:53:10,120 --> 00:53:13,279
Speaker 1: did we ever record in the same room? It's you know,

1032
00:53:13,719 --> 00:53:17,879
Speaker 1: I'm sure it's easy in some capacity, but considering I've

1033
00:53:18,200 --> 00:53:21,640
Speaker 1: learned how to do audio engineering via the School of YouTube,

1034
00:53:22,040 --> 00:53:25,120
Speaker 1: this ended up being an easier option for us, and

1035
00:53:25,400 --> 00:53:28,279
Speaker 1: we can make it much neater and I don't know,

1036
00:53:29,040 --> 00:53:33,279
Speaker 1: I mean, hopefully one day we could progress. Yeah, but

1037
00:53:33,719 --> 00:53:36,080
Speaker 1: I think it's fine this way because you then you

1038
00:53:36,120 --> 00:53:38,080
Speaker 1: don't have to come over my house because you're here,

1039
00:53:38,360 --> 00:53:40,239
Speaker 1: like you don't have to drive over here every day,

1040
00:53:40,320 --> 00:53:42,800
Speaker 1: And I listen, it's for me, it's better because I

1041
00:53:42,960 --> 00:53:45,920
Speaker 1: don't I don't like the distraction. Like I'm in my

1042
00:53:46,160 --> 00:53:49,360
Speaker 1: own zone here right now, and if you were sitting

1043
00:53:49,440 --> 00:53:51,239
Speaker 1: next to me, then you would be like when are

1044
00:53:51,280 --> 00:53:55,080
Speaker 1: we having for lunch and like annoying the shit out

1045
00:53:55,080 --> 00:53:56,600
Speaker 1: of me and telling me all these stories. Plus it

1046
00:53:56,600 --> 00:53:59,040
Speaker 1: would make our workday like twenty times longer because we

1047
00:53:59,040 --> 00:54:02,200
Speaker 1: would be talking about all this other stuff in between. Yeah.

1048
00:54:02,239 --> 00:54:05,760
Speaker 1: I also find that sometimes when we do the audio

1049
00:54:05,880 --> 00:54:09,400
Speaker 1: only episodes and I'm at your house, I like can't

1050
00:54:09,440 --> 00:54:11,440
Speaker 1: look at you while I'm talking because I lose my

1051
00:54:11,520 --> 00:54:14,880
Speaker 1: train of thought. I looking at you via the computer.

1052
00:54:15,080 --> 00:54:18,560
Speaker 1: I could look between my notes and you, but also

1053
00:54:18,719 --> 00:54:21,400
Speaker 1: I'm monitoring all of the levels and making sure the

1054
00:54:21,440 --> 00:54:24,960
Speaker 1: recording's going well. So if we were together in the

1055
00:54:24,960 --> 00:54:26,719
Speaker 1: same room, I feel like it would just be too

1056
00:54:26,760 --> 00:54:28,920
Speaker 1: much for my brain and I wouldn't contribute much to

1057
00:54:28,920 --> 00:54:32,239
Speaker 1: the conversation because I'm like doing five jobs at one

1058
00:54:32,280 --> 00:54:35,640
Speaker 1: time and it's very difficult. But this works for us.

1059
00:54:35,760 --> 00:54:38,399
Speaker 1: But maybe one day we could have a cute set,

1060
00:54:38,440 --> 00:54:40,120
Speaker 1: But I don't know. I like our setup brain now

1061
00:54:40,200 --> 00:54:43,680
Speaker 1: I have this nice gorgeous wallpaper. We do have dreams

1062
00:54:43,680 --> 00:54:46,680
Speaker 1: of having like a nice set and maybe like a

1063
00:54:46,719 --> 00:54:50,200
Speaker 1: better video that's actually really entertaining to watch.

1064
00:54:50,239 --> 00:54:53,000
Speaker 2: But I mean, I just don't have the energy too.

1065
00:54:54,719 --> 00:54:56,879
Speaker 1: It is a lot, all right, last, what are your

1066
00:54:56,880 --> 00:55:00,880
Speaker 1: Eastern traditions? So wait, let me get back to the conversation.

1067
00:55:01,640 --> 00:55:05,160
Speaker 1: So we get this ham and my husband also bought

1068
00:55:05,239 --> 00:55:07,919
Speaker 1: lamb because he knows pop Up doesn't eat ham, even

1069
00:55:07,920 --> 00:55:10,200
Speaker 1: though I told him pop Up eats literally anything. That's

1070
00:55:10,239 --> 00:55:13,640
Speaker 1: why we call him a human garbage disposal. And so

1071
00:55:13,680 --> 00:55:16,360
Speaker 1: we cut this. He cuts this lamb open in the

1072
00:55:16,480 --> 00:55:19,719
Speaker 1: kitchen and I'm in the back bedroom getting ready. He's like,

1073
00:55:19,800 --> 00:55:21,520
Speaker 1: can you come smell this? I don't know if it

1074
00:55:21,560 --> 00:55:23,480
Speaker 1: smells good or not. And the second I walked in

1075
00:55:23,520 --> 00:55:25,760
Speaker 1: my hallway, I was like, what is that? It smelled

1076
00:55:25,840 --> 00:55:29,040
Speaker 1: so horrible? I called you because when you google it,

1077
00:55:29,040 --> 00:55:31,000
Speaker 1: it says lamb has a strong odor. But I really

1078
00:55:31,080 --> 00:55:34,680
Speaker 1: don't think it should be that bad. You guys are

1079
00:55:35,000 --> 00:55:38,040
Speaker 1: kind of domb Like you said you said that it

1080
00:55:38,120 --> 00:55:39,560
Speaker 1: had an expiration date on it.

1081
00:55:39,560 --> 00:55:42,880
Speaker 2: Right, but which was which wasay? Which was today?

1082
00:55:43,320 --> 00:55:46,120
Speaker 1: But like he was telling me that he bought it,

1083
00:55:46,239 --> 00:55:47,400
Speaker 1: when did he buy it?

1084
00:55:47,480 --> 00:55:49,600
Speaker 2: Three days before Easter? All right?

1085
00:55:49,719 --> 00:55:52,719
Speaker 1: So you can't really you're not really supposed to leave

1086
00:55:52,800 --> 00:55:54,880
Speaker 1: meat in the refrigerator for that long.

1087
00:55:55,640 --> 00:55:58,320
Speaker 2: Like, yeah, you are, it has a sell by date.

1088
00:55:58,640 --> 00:56:00,640
Speaker 1: No, you don't leave it in as long as the

1089
00:56:00,719 --> 00:56:02,520
Speaker 1: sell by like when you take it back from the

1090
00:56:02,560 --> 00:56:04,239
Speaker 1: grocery store, if you're not going to use it in

1091
00:56:04,280 --> 00:56:06,040
Speaker 1: a day or two, you should put it in the freezer.

1092
00:56:06,280 --> 00:56:07,400
Speaker 2: That is not correct.

1093
00:56:07,760 --> 00:56:11,680
Speaker 1: Listen, you're full shit, And I'm right because I know

1094
00:56:11,800 --> 00:56:15,719
Speaker 1: all about decomposition, and I'm telling you that, like it's

1095
00:56:15,760 --> 00:56:19,759
Speaker 1: decomposing in there, and it's like that, it's like the

1096
00:56:19,800 --> 00:56:22,919
Speaker 1: Pope wrapped up in plastic with resins and stuff. You're

1097
00:56:23,000 --> 00:56:27,320
Speaker 1: just accelerating the decomposition. Like raw meat is supposed to

1098
00:56:27,400 --> 00:56:29,799
Speaker 1: be used within a day or two of the grocery store,

1099
00:56:29,840 --> 00:56:31,560
Speaker 1: and then you're supposed to put it in the freezer

1100
00:56:31,560 --> 00:56:33,640
Speaker 1: if you're not going to use it. Okay, Well I'm

1101
00:56:33,640 --> 00:56:37,160
Speaker 1: calling bullshit because I go grocery shopping on Saturday mornings

1102
00:56:37,200 --> 00:56:39,680
Speaker 1: and I cook that meat throughout the whole week, and

1103
00:56:39,719 --> 00:56:41,440
Speaker 1: I've never had a problem like this is one of

1104
00:56:41,560 --> 00:56:43,879
Speaker 1: very few problems I've had where it's gone bad. Well,

1105
00:56:43,960 --> 00:56:45,960
Speaker 1: I'm just telling you, like, if you look up what

1106
00:56:46,000 --> 00:56:48,680
Speaker 1: you're supposed to do, that's what you're supposed to do.

1107
00:56:48,760 --> 00:56:51,320
Speaker 1: And on top of that, you just like just knowing

1108
00:56:51,360 --> 00:56:56,240
Speaker 1: how decomposition works, it's just like it like it sounds gross,

1109
00:56:56,280 --> 00:57:01,000
Speaker 1: but it's literally a human decomposing. Like it's going to

1110
00:57:01,080 --> 00:57:04,239
Speaker 1: look worse in day one than it is or on

1111
00:57:04,320 --> 00:57:06,239
Speaker 1: day three than it would look on day one, you

1112
00:57:06,239 --> 00:57:09,520
Speaker 1: know what I mean, Like, especially if you're going to

1113
00:57:09,560 --> 00:57:12,520
Speaker 1: cook me like oh that, I just wouldn't leave it

1114
00:57:12,560 --> 00:57:14,040
Speaker 1: in the fridge like that for that long.

1115
00:57:14,120 --> 00:57:18,000
Speaker 2: But that's that's always what I've been taught.

1116
00:57:18,080 --> 00:57:20,440
Speaker 1: So I don't know, you've been cooking for five minutes

1117
00:57:20,480 --> 00:57:23,560
Speaker 1: to act like your Bobby Flay like, relax, I am

1118
00:57:23,640 --> 00:57:25,920
Speaker 1: Bobby Flay. I probably cook better than him. But it

1119
00:57:25,960 --> 00:57:28,040
Speaker 1: doesn't have anything to do with cooking. It just has

1120
00:57:28,080 --> 00:57:32,560
Speaker 1: to do with common sense and decomposition. Anyway, we didn't

1121
00:57:32,560 --> 00:57:35,080
Speaker 1: cook the lamb and they got returned because it smelled

1122
00:57:35,360 --> 00:57:37,760
Speaker 1: so horrible. My house smelt so horrible for like an

1123
00:57:37,800 --> 00:57:39,680
Speaker 1: hour and a half. The smell would not go away

1124
00:57:39,840 --> 00:57:40,400
Speaker 1: no matter what.

1125
00:57:40,440 --> 00:57:41,160
Speaker 2: It was disgusting.

1126
00:57:41,240 --> 00:57:43,200
Speaker 1: But what did you end up doing for the girls?

1127
00:57:44,200 --> 00:57:48,480
Speaker 1: So we do well, I'm in this conundrum because my

1128
00:57:48,560 --> 00:57:51,480
Speaker 1: ten year old still believes still believes in Santa and

1129
00:57:51,520 --> 00:57:54,440
Speaker 1: the Easter Bunny, and I'm like, okay, I have like

1130
00:57:54,480 --> 00:57:57,160
Speaker 1: this magical age of like okay, you're gonna start getting

1131
00:57:57,160 --> 00:57:58,960
Speaker 1: beat up in school, Like I think you need to

1132
00:57:59,000 --> 00:58:03,560
Speaker 1: tell her, uh, I know, but like it's hard, it's

1133
00:58:03,600 --> 00:58:06,439
Speaker 1: hard to break it. So I just been like every year,

1134
00:58:06,640 --> 00:58:09,720
Speaker 1: like this year especially, it's been like very obvious in

1135
00:58:09,760 --> 00:58:12,880
Speaker 1: her face. So Lillian came and put the little Easter

1136
00:58:12,920 --> 00:58:17,360
Speaker 1: bunny footprints on the ground for her. But normally we say,

1137
00:58:17,440 --> 00:58:19,840
Speaker 1: like you know, we hard boil the eggs and die

1138
00:58:19,880 --> 00:58:22,400
Speaker 1: them at night, and then in the morning, Gabe hides them,

1139
00:58:22,440 --> 00:58:25,160
Speaker 1: which was like, ale, oh my god, please tell that.

1140
00:58:26,320 --> 00:58:30,520
Speaker 1: I seriously was going to show in this weekend. So

1141
00:58:30,720 --> 00:58:34,200
Speaker 1: all right, So I make hard boiled eggs for the

1142
00:58:34,280 --> 00:58:36,439
Speaker 1: kit for the girls for the for the Easter egg

1143
00:58:36,520 --> 00:58:39,120
Speaker 1: hunt in the morning, and then I had another So

1144
00:58:39,240 --> 00:58:41,240
Speaker 1: this box was in the fridge and it was labeled

1145
00:58:41,280 --> 00:58:44,560
Speaker 1: Easter eggs and it was filled with dyed eggs. The

1146
00:58:44,640 --> 00:58:47,360
Speaker 1: other box was not labeled with anything, and I had

1147
00:58:47,400 --> 00:58:49,480
Speaker 1: a bunch of white eggs in it, and then it

1148
00:58:49,520 --> 00:58:53,040
Speaker 1: had four dyed eggs that were raw dyed eggs because

1149
00:58:53,080 --> 00:58:55,160
Speaker 1: I was going to cook them in my Easter bread

1150
00:58:55,160 --> 00:58:58,960
Speaker 1: the next morning. So I wake up on Easter morning

1151
00:58:59,080 --> 00:59:03,240
Speaker 1: and he was walking around, you know, working out in

1152
00:59:03,280 --> 00:59:06,080
Speaker 1: the morning, and he wasn't home. And I look and

1153
00:59:06,120 --> 00:59:08,240
Speaker 1: I see one of the Easter eggs that he hid

1154
00:59:08,320 --> 00:59:10,240
Speaker 1: for the Easter bunny. You know, he does that before

1155
00:59:10,240 --> 00:59:14,360
Speaker 1: the girls wake up. And I look inside of the

1156
00:59:14,440 --> 00:59:17,240
Speaker 1: fridge and all of the eggs are gone except like

1157
00:59:17,360 --> 00:59:20,080
Speaker 1: two white ones. And I'm like, he hid the raw

1158
00:59:20,120 --> 00:59:23,439
Speaker 1: eggs too. He took the ones for my Easter bread,

1159
00:59:23,480 --> 00:59:26,000
Speaker 1: and now I didn't have enough left to redie them

1160
00:59:26,000 --> 00:59:28,640
Speaker 1: for the Easter bread. So I just text him and

1161
00:59:28,680 --> 00:59:31,800
Speaker 1: I'm like, dude, you like this is this is classic Gabe.

1162
00:59:31,800 --> 00:59:34,840
Speaker 1: Every single time I go food shopping. Hole Like what

1163
00:59:35,040 --> 00:59:37,320
Speaker 1: was I I was going to make biscotti last weekend?

1164
00:59:37,360 --> 00:59:40,120
Speaker 1: And he ate the cranberries, like a whole box of cranberries.

1165
00:59:40,160 --> 00:59:43,280
Speaker 1: Why would I buy a box of cranberries? You ate

1166
00:59:43,320 --> 00:59:45,680
Speaker 1: it for my recipe? He eats something for my recipe

1167
00:59:45,680 --> 00:59:48,120
Speaker 1: all the time. Like what about the mini cabbage? Because

1168
00:59:48,120 --> 00:59:51,600
Speaker 1: I'll never get over that that. Oh when I asked

1169
00:59:51,640 --> 00:59:53,560
Speaker 1: for cabbage to make, was it to make go on

1170
00:59:53,640 --> 00:59:56,479
Speaker 1: keys or something? Or yeah, you're making go on keys,

1171
00:59:56,480 --> 00:59:59,680
Speaker 1: which is the stuffed cabbage, which he knows he's eating

1172
00:59:59,680 --> 01:00:02,120
Speaker 1: a thous and times. He knows you need the big leaves.

1173
01:00:02,160 --> 01:00:05,240
Speaker 1: So you were like, can he could get me more cabbage?

1174
01:00:05,280 --> 01:00:07,920
Speaker 1: I ran out of leaves? And he comes back, literally

1175
01:00:07,960 --> 01:00:10,920
Speaker 1: with the world's tiniest cabbage and it says mini cabbage.

1176
01:00:11,040 --> 01:00:11,760
Speaker 2: It was ten of.

1177
01:00:11,720 --> 01:00:14,520
Speaker 1: Them, like ten of them, and then it was it

1178
01:00:14,600 --> 01:00:16,680
Speaker 1: was it was pretty much an.

1179
01:00:16,600 --> 01:00:22,680
Speaker 2: Enlarged Brussels sprout exactly that it was not. It was ridiculous.

1180
01:00:22,680 --> 01:00:25,240
Speaker 1: So okay, So we have this long standing history of

1181
01:00:25,320 --> 01:00:28,640
Speaker 1: him just like interfering with my my meals and my

1182
01:00:28,720 --> 01:00:31,720
Speaker 1: desserts and stuff. So I text him and I'm like, dude,

1183
01:00:31,920 --> 01:00:34,680
Speaker 1: you hid the things. And now, like I'm trying to

1184
01:00:34,720 --> 01:00:36,880
Speaker 1: get this Easter bread ready that makes it takes a

1185
01:00:36,920 --> 01:00:39,959
Speaker 1: couple hours, and I'm like, I'm not doing an Easter

1186
01:00:40,040 --> 01:00:42,000
Speaker 1: egg hunt right now to try to find all these

1187
01:00:42,040 --> 01:00:43,919
Speaker 1: eggs that he hid around the house because he's hiding

1188
01:00:43,960 --> 01:00:46,000
Speaker 1: them really good because the girls are older and they could,

1189
01:00:46,040 --> 01:00:48,280
Speaker 1: you know. So I'm like, I'm not looking for these

1190
01:00:48,360 --> 01:00:50,600
Speaker 1: right now. So he goes, okay, whatever, I'll just stop

1191
01:00:50,640 --> 01:00:52,840
Speaker 1: at the store on the way back and bring eggs.

1192
01:00:52,920 --> 01:00:55,680
Speaker 1: And I said Okay, he walks in the door and

1193
01:00:55,760 --> 01:00:59,040
Speaker 1: he has freaking brown eggs and I'm.

1194
01:00:58,920 --> 01:01:01,840
Speaker 2: Like, dude, how supposed to die these eggs?

1195
01:01:02,320 --> 01:01:07,520
Speaker 1: It was funny anyway, so what Yeah, so so we

1196
01:01:07,640 --> 01:01:11,120
Speaker 1: hide the Easter eggs. But I said, like, Lulu came

1197
01:01:11,160 --> 01:01:14,160
Speaker 1: downstairs and I was like, yeah, like, daddy hit the eggs.

1198
01:01:14,320 --> 01:01:17,280
Speaker 1: I told them the egg story, like normally it's like, no,

1199
01:01:17,400 --> 01:01:18,960
Speaker 1: the easter bunny hit the eggs. And I was like, no,

1200
01:01:19,080 --> 01:01:22,120
Speaker 1: Daddy hit the eggs. You know. So it's just like

1201
01:01:22,800 --> 01:01:24,880
Speaker 1: and she said, I think she's trying to get me

1202
01:01:24,920 --> 01:01:26,520
Speaker 1: to tell her because she was like, Mommy, what do

1203
01:01:26,560 --> 01:01:27,840
Speaker 1: you think these footprints are?

1204
01:01:28,400 --> 01:01:29,560
Speaker 2: And I was like, I don't know.

1205
01:01:30,200 --> 01:01:33,120
Speaker 1: I think you should have Lilian tell her me.

1206
01:01:33,280 --> 01:01:33,800
Speaker 2: I don't know.

1207
01:01:34,520 --> 01:01:37,000
Speaker 1: She no, I feel like she knows Listen, of all

1208
01:01:37,080 --> 01:01:40,760
Speaker 1: of my kids, she's the one even with you, like

1209
01:01:40,840 --> 01:01:43,959
Speaker 1: she's the one that's like on it and knows what's

1210
01:01:44,000 --> 01:01:46,600
Speaker 1: going on. Well. I was telling Ricky yesterday she gave

1211
01:01:46,640 --> 01:01:48,800
Speaker 1: me like a pep talk about getting my blood teeth,

1212
01:01:49,640 --> 01:01:53,440
Speaker 1: and I'm like, how ridiculous that thirty years old at

1213
01:01:53,480 --> 01:01:55,720
Speaker 1: my ten year old sister has to be like I

1214
01:01:55,760 --> 01:01:58,360
Speaker 1: don't like it either, but it gets easier time.

1215
01:01:58,400 --> 01:01:59,480
Speaker 2: Oh my god.

1216
01:01:59,760 --> 01:02:02,560
Speaker 1: Yeah yes, so yeah, so we do that and we

1217
01:02:02,720 --> 01:02:05,200
Speaker 1: just get together whatever we're gonna do. But yeah, that

1218
01:02:05,400 --> 01:02:10,160
Speaker 1: was a long rant over I mean anything unpopular opinion.

1219
01:02:10,520 --> 01:02:13,240
Speaker 1: I really don't care for Easter. I think the food

1220
01:02:13,720 --> 01:02:16,120
Speaker 1: food's good, and I like getting together with family. But

1221
01:02:16,160 --> 01:02:21,080
Speaker 1: I'm just like whatever I like it. Maybe I'll feel

1222
01:02:21,120 --> 01:02:22,080
Speaker 1: different in the future.

1223
01:02:22,120 --> 01:02:23,680
Speaker 2: I just don't know, but all right.

1224
01:02:23,800 --> 01:02:26,560
Speaker 1: Also, we need to announce our winners for our one

1225
01:02:26,560 --> 01:02:30,120
Speaker 1: million download giveaway. So everybody has been contacted and I've

1226
01:02:30,120 --> 01:02:33,040
Speaker 1: heard back from them, so we'll do it severed style

1227
01:02:33,200 --> 01:02:37,560
Speaker 1: for some privacy. But our grand prize winner was Selina

1228
01:02:37,840 --> 01:02:40,720
Speaker 1: M and then the winner of Nicole and Jemmy's Anatomy Book,

1229
01:02:40,720 --> 01:02:43,760
Speaker 1: where Kaylin f Ellen g and Lisa E. Thank you

1230
01:02:43,800 --> 01:02:46,920
Speaker 1: guys so much. Everybody that's submitted for the giveaway. We

1231
01:02:47,000 --> 01:02:52,919
Speaker 1: will definitely have more coming up in the future. Thank

1232
01:02:52,960 --> 01:02:56,560
Speaker 1: you for listening to Mother nos Death. As a reminder,

1233
01:02:56,720 --> 01:03:00,520
Speaker 1: my training is as a pathologist assistant. I have a

1234
01:03:00,560 --> 01:03:04,920
Speaker 1: master's level education and specialize in anatomy and pathology education.

1235
01:03:06,040 --> 01:03:08,200
Speaker 1: I am not a doctor and I have not diagnosed

1236
01:03:08,280 --> 01:03:11,920
Speaker 1: or treated anyone dead or alive without the assistance of

1237
01:03:11,960 --> 01:03:17,200
Speaker 1: a licensed medical doctor. This show, my website, and social

1238
01:03:17,240 --> 01:03:20,760
Speaker 1: media accounts are designed to educate and inform people based

1239
01:03:20,760 --> 01:03:24,680
Speaker 1: on my experience working in pathology, so they can make

1240
01:03:24,880 --> 01:03:29,520
Speaker 1: healthier decisions regarding their life and well being. Always remember

1241
01:03:29,600 --> 01:03:32,720
Speaker 1: that science is changing every day, and the opinions expressed

1242
01:03:32,720 --> 01:03:35,400
Speaker 1: in this episode are based on my knowledge of those

1243
01:03:35,440 --> 01:03:39,160
Speaker 1: subjects at the time of publication. If you are having

1244
01:03:39,240 --> 01:03:43,200
Speaker 1: a medical problem, have a medical question, or having a

1245
01:03:43,240 --> 01:03:47,600
Speaker 1: medical emergency, please contact your physician or visit an urgent

1246
01:03:47,640 --> 01:03:49,760
Speaker 1: care center, emergency room.

1247
01:03:49,760 --> 01:03:50,560
Speaker 2: Or hospital.

1248
01:03:51,200 --> 01:03:56,920
Speaker 1: Please rate, review, and subscribe to Mother Knows Death on Apple, Spotify, YouTube,

1249
01:03:57,160 --> 01:03:58,880
Speaker 1: or anywhere you get podcasts.

1250
01:03:59,240 --> 01:04:03,120
Speaker 2: Thanks Yo Yo,