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

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

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Speaker 2: going to be talking about a Yankee player's teen son

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Speaker 2: who mysteriously died on vacation in Costa Rica, a babysitter

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Speaker 2: who was checking under the bed for monsters only to

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Speaker 2: come across something far more scary, a person who died

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Speaker 2: from rabies after receiving a transplant, and a sixty six

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Speaker 2: year old who just gave birth. We have all that

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Speaker 2: and more on today's episode. So let's get started with

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Speaker 2: this Yankee player's son. Yeah, So former Yankees player Brett Gardner,

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Speaker 2: he was on vacation with his family in Costa Rica.

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Speaker 2: So they're saying that they went out to dinner at

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Speaker 2: this restaurant near the resort, and when they got back,

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Speaker 2: a couple people in the family got sick. So the

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Speaker 2: resort then sent out a medical team with a licensed

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Speaker 2: doctor over to treat them, and in the middle of

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Speaker 2: the night, their fourteen year old son ended up dying.

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Speaker 2: So did they ever say what the medical team had

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Speaker 2: said that night when they saw all of these people.

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Speaker 1: So I first saw it being reported as food poisoning,

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Speaker 1: and an official had said it was due to asphyxiation

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Speaker 1: from food intoxication, but now that doesn't seem to.

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Speaker 2: Be the case. So there's a couple different things that

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Speaker 2: you could think about, especially when people say they ate

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Speaker 2: and then they got sick afterwards. The person that died especially,

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Speaker 2: so I think it's pretty safe that we could rule

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Speaker 2: out something like anaphylaxis, which would be something you would

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Speaker 2: think about if a person had a peanut allergy and

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Speaker 2: was exposed to something they shouldn't be exposed to. Not

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Speaker 2: that it's one hundred percent not possible, but when you're

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Speaker 2: talking about multiple people being sick from eating the same

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Speaker 2: type of food, then you think more of Okay, it's

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Speaker 2: some kind of bacteria that was present in the food

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Speaker 2: that all of these people ate, which caused them all

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Speaker 2: to get sick shortly after they ate a meal. So

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Speaker 2: when you're thinking about that, there's talk that there was

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Speaker 2: a lot of vomiting going on between the other people

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Speaker 2: as well as this boy, and in fact whoever came

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Speaker 2: and took care of him, I guess in the middle

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Speaker 2: of the night or whenever they decided to call emergency

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Speaker 2: services to come. They had said they were saying it

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Speaker 2: was a nearby urgent care that had treated him. I

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Speaker 2: don't know how things work in Costa Rica, but essentially

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Speaker 2: they showed up and they had to do CPR on

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Speaker 2: the kid because he was unresponsive, and they said that

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Speaker 2: he was basically clinically dead when they arrived. They said

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Speaker 2: that there was indication of vomiting president when they got

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Speaker 2: to the hotel room, and it was in his bed actually,

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Speaker 2: but they couldn't confirm that it is from him. So

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Speaker 2: I guess initially with that presentation, people would assume that

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Speaker 2: possibly he asphyxiated, which would mean that he vomited and

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Speaker 2: then he inhaled it again and it got caught in

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Speaker 2: his lungs and caused him to die that way by

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Speaker 2: a lack of oxygen. But I guess when they did

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Speaker 2: the autopsy they didn't see any evidence of that, at

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Speaker 2: least grossly or by looking at it with the human eye.

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Speaker 2: Now they still do need to look at the lungs

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Speaker 2: under the microscope in order to determine that that wasn't

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Speaker 2: the case, but usually if somebody dies from that, there's

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Speaker 2: going to be evidence of it right away. So now

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Speaker 2: so they basically ruled out asphyxia because of the vomit.

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Speaker 2: They ruled out anaphylaxis probably for the most part, because

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Speaker 2: again that's something that you could see at autopsy. You

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Speaker 2: could see swelling in the throat definitely, that would be

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Speaker 2: something you could see as well. So they probably ruled

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Speaker 2: out those two things. So now they're just trying to see,

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Speaker 2: I guess what kind of infection these people had, because

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Speaker 2: you have to think it's there is a rare chance

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Speaker 2: that it could be from something else too. When you

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Speaker 2: just think about a whole bunch of people that are

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Speaker 2: eating food at the same time, it gets sick pretty

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Speaker 2: soon afterwards, you think of it could be like chemicals

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Speaker 2: in the food, like actual poison, or it could be

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Speaker 2: a bacteria. So that's what people like epidemiologists do, is

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Speaker 2: they try to find the source of like where this

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Speaker 2: all happens. So they're going to interview all the people

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Speaker 2: that were there and find out what they ate, and

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Speaker 2: then they're going to go to the restaurant and see

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Speaker 2: what they ate and see what they all ate the

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Speaker 2: same of and try to determine if it was from there.

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Speaker 2: The thing is is sometimes when you get a bacterial

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Speaker 2: infection from food, it might not present for days actually,

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Speaker 2: so even though they all started getting sick around the

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Speaker 2: same time after they ate that one meal, doesn't necessar

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Speaker 2: mean it's from that meal, depending on what the bacteria is.

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Speaker 2: Now the good news is is that they could test

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Speaker 2: his poop and then test his blood and everything at

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Speaker 2: autopsy as well as the people that are still alive

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Speaker 2: that might still have the infection, and they they can

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Speaker 2: determine what the bacteria is. And each bacteria acts differently,

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Speaker 2: so some will infect people within thirty minutes, others will

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Speaker 2: be forty eight hours, and then they'll be able to

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Speaker 2: really track back to what restaurant they were eating at

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Speaker 2: at that particular time. Another thing to take into consideration

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Speaker 2: when people are on trips like this in somewhere like

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Speaker 2: Costa Rica, when I know I've never been there, I

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Speaker 2: really want to go there, but I always see that

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Speaker 2: people are in these you know, in the water all

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Speaker 2: the time, right, and there can also be kinds of

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Speaker 2: weird bacteria that you could ingest the water accidentally and

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Speaker 2: get sick from that too. Whatever it is, it happened,

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Speaker 2: whether it was a chemical poisoning or a bacteria, they

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Speaker 2: all got it around the same time. All started exhibiting

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Speaker 2: similar symptoms. So as of right now, we're going to

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Speaker 2: just have to wait and see what the toxicology shows.

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Speaker 2: So the toxicology will just be checking for actual drugs,

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Speaker 2: but thinking that they were treated the night before correct

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Speaker 2: at the hotel. Yeah, So, I mean, I can't even

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Speaker 2: imagine what medication they would have possibly given them, because

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Speaker 2: they kind of want food poisoning sometimes to run its course,

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Speaker 2: so they might have given them pepto or something like that.

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Speaker 2: And like, listen, people can be alertic to medication. People

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Speaker 2: have died from taking tile and all, but it's just

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Speaker 2: so rare. So that's where I'm thinking that that's probably

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Speaker 2: not going to show much either. He probably just died

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Speaker 2: as a result of the infection. And another thing to

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Speaker 2: consider is that, let's say, for example, the family was

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Speaker 2: at a restaurant and the Sun got a dessert and

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Speaker 2: then other people were like, let me try that, but

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Speaker 2: he ate most of it and they had like a

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Speaker 2: bite of it. Sometimes they might not seem as sick

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Speaker 2: as he would, depending on how much he ingested. Another

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Speaker 2: thing is that we don't know the Sun's medical history,

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Speaker 2: so you know, let's say, for example, like my daughter

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Speaker 2: Lucia is considered immunosuppressed because of some of the medications

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Speaker 2: that she's on for her bone disorder, and that would

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Speaker 2: make her more likely to get a more severe reaction

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Speaker 2: from something like this rather than the other people that

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Speaker 2: might have been a little bit healthier. So we don't

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Speaker 2: know if he had anything like that either. You know,

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Speaker 2: throwing up like that a lot causes severe dehydration. There's

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Speaker 2: just like lots of different things to consider. So unfortunately,

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Speaker 2: we just have to wait until more results come out

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Speaker 2: because the authorities over there in Costa Rica had said

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Speaker 2: that the toxicology histology, which is looking at the slides

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Speaker 2: under the microscope, which it appears that they may not

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Speaker 2: have even done yet, and neuropathology, which is looking at

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Speaker 2: the brain, will be delayed because there's such a high

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Speaker 2: demand for autopsies because apparently there's like an increase of

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Speaker 2: homicides there and they're just overwhelmed with autopsy so they're

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Speaker 2: saying it might take months to actually get the results.

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Speaker 1: Yeah, it's just really sad for this family where you know,

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Speaker 1: you're trying to be on a trip that's fun and

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Speaker 1: then something like this that's tragic just happens, and then

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Speaker 1: you're not really getting answers right away either. Yeah, And

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Speaker 1: I think and this happened to me while traveling in

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Speaker 1: America when we just drove from We drove from New

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Speaker 1: Jersey to Las Vegas over Christmas time, and Lucia got sick.

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Speaker 1: She started coughing a lot, and I was kind of like,

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Speaker 1: all right, whatever, she's got a virus. And then all

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Speaker 1: of a sudden, it was just like, all right, we

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Speaker 1: have a problem. We have to go somewhere.

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Speaker 2: And we were in the middle of New Mexico, which

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Speaker 2: is just not anywhere near populated around here, where there's

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Speaker 2: just an urgent care on every corner. And it's scary

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Speaker 2: when you're traveling and you're not in your air and

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Speaker 2: you just don't even have access to the things that

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Speaker 2: you normally have access to. But at least being in America,

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Speaker 2: you're kind of like, all right, well, I'm going to

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Speaker 2: go to this Walgreens and hopefully it's the same as

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Speaker 2: the one near my house, like you could there's like

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Speaker 2: similar things. Oh, I'm going to go to urgent care

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Speaker 2: and they have similar way of doing things than my

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Speaker 2: urgent care does. But when you're traveling to other countries,

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Speaker 2: just things are handled so much differently. So the reason

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Speaker 2: I'm saying this is because maybe if they were let's

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Speaker 2: say they were in Florida, for example, on a similar

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Speaker 2: type of vacation, they might have considered his condition to

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Speaker 2: be severe enough or the people around him that they

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Speaker 2: needed to go to the hospital. And when they had

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Speaker 2: And I don't know what the deal is because this

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Speaker 2: seems to be like a really fancy resort. It said

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Speaker 2: it was two thousand dollars a night. I mean, that's

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Speaker 2: a lot. Most people don't go on vacations that cost

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Speaker 2: that much money, right, so they might And again, this

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Speaker 2: is like a little bit of a VIP special Tree

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Speaker 2: meant thing like oh, we'll just send a doctor or

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Speaker 2: somebody to your room to help you instead of you

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Speaker 2: having to leave and go to a hospital. And that

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Speaker 2: could be involved in it too, because that kid could

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Speaker 2: have I mean, like I'm thinking, if he was dead

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Speaker 2: in the middle of the night, hours after he was

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Speaker 2: seen by a medical professional, he was either worse off

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Speaker 2: than he seemed to be, I needed to have more

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Speaker 2: intervention or I mean, the asphyxia thing would have made

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Speaker 2: sense just because that's something that just happens right away.

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Speaker 2: It's a quick thing. So I am just really curious

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Speaker 2: about how this is gonna go down.

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Speaker 1: Yeah, this next one is like total nightmare of fuel.

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Speaker 2: It really is, right, And I saw this last night

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Speaker 2: and I was just thinking Jesus, like, I can't believe

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Speaker 2: that this really happened. But tell them about the story.

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Speaker 1: So this kid goes to the babysitter and says, there's

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Speaker 1: a monster hiding under my bed, which how many times

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Speaker 1: did children do this?

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Speaker 2: Right?

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Speaker 1: So they're like, Okay, she's like, all right, I'm gonna

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Speaker 1: go upstairs and show you there's nothing to worry about.

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Speaker 2: If he goes.

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Speaker 1: Upstairs, looks under the bed, and then his face to

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Speaker 1: face with the man, it's just unbelievable, right, Yeah, but

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Speaker 1: could you imagine like the jump scare of that chick

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Speaker 1: got cheese.

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Speaker 2: I'd be like because I wouldn't even expect it to

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Speaker 2: be a human. So it's just like, I don't even

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Speaker 2: know what you would think. But what, like what was

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Speaker 2: happening today? Say, because I don't really remember in the

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Speaker 2: article if they said anything about the parents, like where

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Speaker 2: were the parents at the time. I mean, it's normal

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Speaker 2: that there's a babysitter at the house and the parents

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Speaker 2: aren't home. I'm just wondering. Usually just strange men don't

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Speaker 2: break into people's houses and hide under the bed, So like,

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Speaker 2: there's more to this story. Well, this is what was weird.

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Speaker 1: Is it said he once lived on the property but

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Speaker 1: there was a protection order issued against him to stay

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Speaker 1: away from it, So like who was he?

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Speaker 2: Like, well, exactly, like we need more details, okay, okay?

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Speaker 2: So he is it possible that he's some kind of

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Speaker 2: a friend or family member, Like he lived with those people, he.

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Speaker 1: Had to have been connected to them in some capacity,

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Speaker 1: Like was he a roommate, was he a family friend?

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Speaker 2: Was he a relative? So I wonder if the kid

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Speaker 2: just heard noises and was like, there's something in my room?

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Speaker 1: Well, how many times are there stories where you know, like,

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Speaker 1: if you're sitting in your house, you might if you

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Speaker 1: have like an attic or something, you might just think

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Speaker 1: that you like hear something, but you're like, oh, it's

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Speaker 1: probably just the wind or whatever. And then you see

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Speaker 1: these stories that are like man's been living in woman's

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Speaker 1: attic for thirty four years, Like how yeah it is.

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Speaker 2: It is a crazy story, and of course we'll never

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Speaker 2: hear anything more about it, so you know, we have.

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Speaker 2: We always have so many questions, and the way they

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Speaker 2: write these stories, you're just like, dude, you gotta like

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Speaker 2: give us way more information. You can't leave us hanging

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Speaker 2: like this.

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Speaker 1: No. And this next one's crazy too, because this anesthesiologist

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Speaker 1: and his wife are on this hiking trail in Hawaii.

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Speaker 1: So he's saying he just wanted to take a photo

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Speaker 1: with her and she didn't want to, so then he

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Speaker 1: allegedly attempted to throw her off the hiking trail, struck

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Speaker 1: her in the head with the rock. There's also something

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Speaker 1: about him trying to poke her with a syringe.

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Speaker 2: On the scene. I guess everybody thinks that this is

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Speaker 2: crazy because this guy has like no indication that he

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Speaker 2: was like this, no history of this anywhere, but no crimes.

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Speaker 2: I know it doesn't, but you know, sometimes if you

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Speaker 2: ever think about people that are in this situation, like

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Speaker 2: this dude is like one of the highest levels of physicians.

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Speaker 2: He works at a really prestigious place, and think about

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Speaker 2: his coworkers getting interviewed and hearing this story that they

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Speaker 2: some people would be shocked. Like sometimes you know, there's

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Speaker 2: certain people in your life that if you heard this,

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Speaker 2: you'd be like I'm not surprised, Yeah, you know, And

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Speaker 2: that's that's all they're saying here, is like they're surprised.

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Speaker 2: They think it's unusual, and honestly, like, I guess they

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Speaker 2: know the story because the wife's not dead and she

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Speaker 2: told them what happened. I don't know how she ever

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Speaker 2: got to the hospital. I guess maybe there were witnesses

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Speaker 2: or something, but she like for not taking a picture.

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Speaker 2: It seems it seems kind of weird.

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Speaker 1: Well, if you think about if there's domestic violence going

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Speaker 1: on in the house, little things like that tend to

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Speaker 1: trigger and abuse her. So I mean, it's not really surprising.

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Speaker 1: But I don't know if they have a history of

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Speaker 1: that or what. But I guess they were at an

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Speaker 1: elevation of twelve hundred feet and they were saying that

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Speaker 1: the quote wind so strong that one could lean against

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Speaker 1: the wall of wind. So I guess at first it

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Speaker 1: wasn't unclear how she like fell, but then when they

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Speaker 1: found her, she was in critical condition. But she's still

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Speaker 1: alive and she was able to tell her side of

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Speaker 1: the story, and this is what's being alleged against him.

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Speaker 2: It's really it reminds me of this case that we

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Speaker 2: had when we were doing this podcast in the gross room.

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Speaker 2: Do you remember again it was a doctor who drove

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Speaker 2: off a cliff with his kids and his wife in

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Speaker 2: the car.

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Speaker 1: Yeah.

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Speaker 2: Could you imagine first responders like rescuing these people and

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Speaker 2: going to the hospital and they finally start talking and

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Speaker 2: they say that he intentionally did this on purpose. It's

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Speaker 2: just it it There's there's other stories coming up. I

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Speaker 2: don't know if it's in this today's episode or tomorrow's

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Speaker 2: episode that you think about what these poor doctors have

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Speaker 2: to go through in the hospital because you're treating someone

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Speaker 2: that you you innocently think fell down on vacation, right,

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Speaker 2: and then all of a sudden you hear these stories.

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Speaker 2: It must really be hard for the doctors to hear

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Speaker 2: things like this as well, to know that someone intentionally

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Speaker 2: hurted some hurt someone like that.

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Speaker 1: Yeah, for sure. I Mean the thing is is he's

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Speaker 1: been suspended from his practice while this is being investigated,

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Speaker 1: So I really wonder if they're going to turn up,

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Speaker 1: like if he's had any history of abuse or whatever,

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Speaker 1: because I mean, this thing, this type of thing, Let's

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Speaker 1: say that he's innocent in all this, Like this doesn't

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Speaker 1: go away. Everybody's gonna remember that you're that guy that

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Speaker 1: pushed his wife off the cliff, even if he didn't

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Speaker 1: really do it.

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Speaker 2: Yeah, it's just it's just kind of sad actually to

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Speaker 2: think that a person would work. We say this all

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Speaker 2: the time, like you work so hard to do this,

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Speaker 2: this great, amazing thing and become a physician with your life,

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Speaker 2: Like why would you? I guess, I guess it's not

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Speaker 2: really an argument because it's not like any just because

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Speaker 2: someone has a good job doesn't mean that they shouldn't

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Speaker 2: throw their life away. But anybody shouldn't do anything like this.

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Speaker 2: It's just it's just really bizarre to me. But it's

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Speaker 2: it's interesting though, when you hear stories like this, because

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Speaker 2: especially with domestic violence, like it's not just limited to

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Speaker 2: a certain socioeconomic group. It goes across all spans of

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Speaker 2: the poorest people, the richest people, race it everything like.

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Speaker 1: It's grittiest people, the yeast people.

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Speaker 2: And it's and you know when you hear I was

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Speaker 2: listening to an interview with Gabby Petito's parents and talking

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Speaker 2: about there's just like a lot of interesting things. I'm

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Speaker 2: glad that they're going on all of these shows and

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Speaker 2: they're talking about domestic violence and trying to make something

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Speaker 2: at least educate people and the horrible thing that they

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Speaker 2: had to experience with their daughter's death. But some of

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Speaker 2: the signs they were going through the the nine to

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Speaker 2: one to one or the footage from the Moa Police

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Speaker 2: Department and talking about just some of these signs that

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Speaker 2: she was showing when she was talking and things she

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Speaker 2: was saying, but even hand movements and stuff, And I

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Speaker 2: just thought that was so it's so interesting about how

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Speaker 2: many people it affects, but people obviously don't talk about it.

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Speaker 2: And so yeah, like once they investigate this particular case too,

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Speaker 2: I'm sure that they're going to they're going to find

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Speaker 2: all this stuff out, because that's not you know, if

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Speaker 2: you're with Ricky on vacation, like he's not just going

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Speaker 2: to throw you over the edge. There's like way more

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Speaker 2: to the story, you know.

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Speaker 1: Can you imagine being in the surgical bed like about

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Speaker 1: to undergo anesthesia and the anesthesiologist comes in and is like,

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Speaker 1: all right, we're gonna like start setting you up, and

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Speaker 1: it's this person that was in the news for possibly

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Speaker 1: throwing their.

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Speaker 2: I mean, no, he's done.

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Speaker 1: I'm just saying he gets off as innocent, like you

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Speaker 1: just don't forever remember his face being associated with this story.

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Speaker 2: The scary thing is is though that we've talked about

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Speaker 2: this before. Remember we were talking about that case where

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Speaker 2: the doctor took out this guy's liver instead of this

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Speaker 2: guy's spleen yea, And then we found out that there

347
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Speaker 2: was another case that he took out the wrong organ

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Speaker 2: or or something like that there was a major mistake.

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Speaker 2: The thing is is that oftentimes people don't really research

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Speaker 2: the physicians that are doing their procedures and stuff and

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Speaker 2: really find out like go on medical boards and find

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Speaker 2: out like if these people have any claims against them

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Speaker 2: or anything. The scary thing is is like once this guy,

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Speaker 2: if this guy was able to get off, like you

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Speaker 2: might not even know about it. As a patient, Yeah,

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Speaker 2: I mean when you have surgery. At least I've only

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Speaker 2: had a couple of little procedures here and there, But

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Speaker 2: like I don't know who the anesthesiologist is going to

359
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Speaker 2: be until they come in and they start talking to you.

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Speaker 2: It's not like you have a choice, do you.

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Speaker 1: That's what I was just gonna say, Like, let's say

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Speaker 1: you do do their research, but can you be like, well,

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Speaker 1: I don't want that person because they had bad press.

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Speaker 2: Like, yeah, I mean, it works like it doesn't Like

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Speaker 2: I feel like even when I had the kids and stuff.

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Speaker 2: I mean, and I had two horrible experiences with anesthesia

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Speaker 2: at both hospitals, but like even I feel like you

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Speaker 2: just get who's there that day. I don't know that

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Speaker 2: you have a choice. So it's it's just a really

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Speaker 2: interesting thing to think about. It's just the same as

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Speaker 2: like you get x rays, right, Like you don't get

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Speaker 2: to pick what radiologists looks at your x rays. You

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Speaker 2: don't get to pick what pathologist looks at your stuff it.

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Speaker 2: You know, It's just like that's that's just how it is.

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Speaker 1: So yeah, all right, So two years ago, this only

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Speaker 1: fans chick was performing a fetish session with a client

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Speaker 1: when he became unresponsive and she had to call nine

378
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Speaker 1: one one, And just now two years later, she's being

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Speaker 1: arrested for his murder. I wonder what's taking so long,

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Speaker 1: just because so I guess apparently he they you know,

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Speaker 1: they go through all of the emails and everything in

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Speaker 1: the correspondence between the people and he had said that

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Speaker 1: he wanted to get saran wrapped like a mummy with

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Speaker 1: a pair of woman's boots glued to his feet, which

385
00:20:31,600 --> 00:20:35,080
Speaker 1: is these are very interesting requests, and adhesive poured on

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Speaker 1: into his eyes to seal them shut. That's what he wanted,

387
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Speaker 1: and he paid someone eleven thousand dollars to do this

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Speaker 1: to him. But I guess like that's her thing on OnlyFans.

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Speaker 1: I didn't even like look into her, But I guess

390
00:20:48,920 --> 00:20:54,119
Speaker 1: that's I didn't even really realize OnlyFans models actually like

391
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Speaker 1: met the people that they were talking to.

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Speaker 2: Well, I guess it could.

393
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Speaker 1: I guess it could cross as like you know, cam

394
00:21:00,400 --> 00:21:04,440
Speaker 1: girl content with like this girl's obviously like a dominatrix

395
00:21:04,480 --> 00:21:07,160
Speaker 1: of some sort, right, or maybe she just did dominatrix

396
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Speaker 1: like sessions with this guy. So, like you're saying, he

397
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Speaker 1: requested for him to be wrapped up in saranne wrap

398
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Speaker 1: and have the boots and have pour adhesive onto his

399
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Speaker 1: eyes to seal them shut, but he actually ended up

400
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Speaker 1: with duct tape over his mouth, a plastic bag over

401
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Speaker 1: his head, and more sarane rap around that, and then

402
00:21:24,480 --> 00:21:28,160
Speaker 1: duct tape wrapped around his face and head. So basically

403
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Speaker 1: he just suffocated.

404
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Speaker 2: Yeah, but but like, why did it take them so

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Speaker 2: long to arrest her because there's no other reason that

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Speaker 2: that that would happen. And really, even even if they

407
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Speaker 2: found emails that said I want you to do this

408
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Speaker 2: to me, you as a human have a responsibility like

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Speaker 2: not to kill someone if they ask you to, and

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Speaker 2: you have to be dumb to know that this wouldn't

411
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Speaker 2: kill someone. They have all these warning about plastic bags,

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Speaker 2: putting it over a baby's head, all this stuff, and

413
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Speaker 2: it's like, don't go in a sleeping bag with it

414
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Speaker 2: ZIPPERD And you're talking about putting all of that stuff

415
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Speaker 2: plus taping it on his head so he can't even

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Speaker 2: get it off. Well he couldn't anyway, right because his

417
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Speaker 2: body was saran wrapped like a mummy. But even if

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Speaker 2: he asked you to do that and you did it,

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Speaker 2: you would still be you should still be charged with

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Speaker 2: with his homicide. I am with you.

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Speaker 1: I don't understand why this investigation took so long because

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Speaker 1: it's pretty straightforward. I mean, they could have seen their

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Speaker 1: communication via email, I feel like, pretty quickly, and it

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Speaker 1: was obvious what happened, Like what he requested isn't what happened.

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Speaker 1: And let's say he even requested it the day of

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Speaker 1: Like she still is responsible in some capacity for it happening,

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Speaker 1: So like, why did it take two full years? I

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Speaker 1: would understand a couple of months if they were waiting

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Speaker 1: to look through like phone records everything like that, but

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Speaker 1: two years is insane. Well, and they also found a

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Speaker 1: video on her phone using a vibrator and in the

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Speaker 1: background he was laying with the plastic bag and saran

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Speaker 1: wrap on his head. Like, so she was not only

434
00:23:10,000 --> 00:23:13,000
Speaker 1: getting paid one thousand, eleven thousand dollars to do this

435
00:23:13,040 --> 00:23:16,320
Speaker 1: to him, but then she was making content and also

436
00:23:17,400 --> 00:23:19,080
Speaker 1: I guess she was making I don't know if she

437
00:23:19,200 --> 00:23:21,080
Speaker 1: was making it for just him or if she was

438
00:23:21,560 --> 00:23:26,440
Speaker 1: planning on uploading that content to her OnlyFans page, which

439
00:23:26,480 --> 00:23:28,720
Speaker 1: is fine. I mean, if she wants to double dip,

440
00:23:28,760 --> 00:23:32,040
Speaker 1: it's fine. The problem is is that she she killed him.

441
00:23:32,320 --> 00:23:36,159
Speaker 1: Like I don't really know what else to say. So

442
00:23:36,280 --> 00:23:40,399
Speaker 1: I'm glad she finally got did it say? Or she

443
00:23:40,640 --> 00:23:42,639
Speaker 1: just got arrested, so we don't even know like what

444
00:23:42,680 --> 00:23:45,600
Speaker 1: she's actually getting from this. No, but she's happy in

445
00:23:45,960 --> 00:23:48,400
Speaker 1: court like next month, so I'm sure there'll be more

446
00:23:48,440 --> 00:23:51,920
Speaker 1: about it. I just I just can't believe they knew

447
00:23:51,960 --> 00:23:54,760
Speaker 1: she was there. They knew exactly what happened. It seems

448
00:23:54,800 --> 00:23:57,239
Speaker 1: like the medical examiner knew it was a homicide from

449
00:23:57,280 --> 00:23:59,240
Speaker 1: the start, So just like what took so long?

450
00:24:00,119 --> 00:24:07,080
Speaker 2: No idea.

451
00:24:08,880 --> 00:24:10,960
Speaker 1: This episode is brought to you by the Gross Room.

452
00:24:11,680 --> 00:24:14,240
Speaker 2: Guys. We have the Gross Room on sal right now.

453
00:24:14,320 --> 00:24:18,400
Speaker 2: It's only twenty dollars for a whole entire year of gross,

454
00:24:18,440 --> 00:24:23,439
Speaker 2: so that is thousands of cases that you get to see, videos, photos,

455
00:24:24,119 --> 00:24:26,760
Speaker 2: all sorts of stuff like the things that we're talking

456
00:24:26,800 --> 00:24:29,520
Speaker 2: about on this episode. In every episode, we have plenty

457
00:24:29,600 --> 00:24:33,679
Speaker 2: of fetish type murder situations just for an example of

458
00:24:33,720 --> 00:24:38,000
Speaker 2: a story we just talked about. We have high profile

459
00:24:38,240 --> 00:24:40,919
Speaker 2: or celebrity death dissections every week that we put out

460
00:24:40,960 --> 00:24:43,760
Speaker 2: in the beginning of the week. So last week we

461
00:24:43,840 --> 00:24:46,080
Speaker 2: did Ruby frank A Part one and two because it

462
00:24:46,080 --> 00:24:49,000
Speaker 2: was so much information and it's sparking a lot of

463
00:24:49,119 --> 00:24:53,040
Speaker 2: interesting discussion in the Gross Room, which it should because

464
00:24:53,040 --> 00:24:56,320
Speaker 2: the case is is just really crazy. So check that

465
00:24:56,359 --> 00:24:58,600
Speaker 2: one out. And next week we're doing a really crazy

466
00:24:58,600 --> 00:25:03,560
Speaker 2: case of a mistaken identity where where two females were

467
00:25:03,640 --> 00:25:08,159
Speaker 2: misidentified and it's just a really crazy it's just a

468
00:25:08,200 --> 00:25:11,080
Speaker 2: really upsetting story. One of the most upsetting stories that

469
00:25:11,119 --> 00:25:13,920
Speaker 2: I've ever written about honestly on the website.

470
00:25:14,440 --> 00:25:16,359
Speaker 1: Yeah, head over to the Grosser Room dot com for

471
00:25:16,520 --> 00:25:17,840
Speaker 1: more info and to sign up.

472
00:25:21,000 --> 00:25:25,240
Speaker 2: Okay, this next, This is outrageous to me, this story,

473
00:25:25,680 --> 00:25:28,159
Speaker 2: I really I sent it to one of my friends

474
00:25:28,160 --> 00:25:30,880
Speaker 2: who is a transplant nurse and she can't believe it either.

475
00:25:31,200 --> 00:25:34,199
Speaker 1: Yeah. So this patient ended up getting a kidney transplant

476
00:25:34,240 --> 00:25:37,879
Speaker 1: back in December and then contracted rabies through the donated organ.

477
00:25:37,960 --> 00:25:39,199
Speaker 1: Are they not testing for that?

478
00:25:40,080 --> 00:25:43,320
Speaker 2: No, they're not, but I'll tell you why. There's there's

479
00:25:43,359 --> 00:25:47,840
Speaker 2: a reason. So when you if you look up rabies

480
00:25:48,000 --> 00:25:51,879
Speaker 2: right now in the United States, how many people get

481
00:25:52,040 --> 00:25:56,240
Speaker 2: rabies and die? Because most it's like one hundred percent fatal.

482
00:25:56,880 --> 00:26:00,320
Speaker 2: Ten people in the whole entire United States die from

483
00:26:01,560 --> 00:26:05,240
Speaker 2: from this every from rabies, every single year. Ten people.

484
00:26:05,840 --> 00:26:08,560
Speaker 2: So they're not going to test organs for it because

485
00:26:08,600 --> 00:26:13,880
Speaker 2: the chances of somebody getting it are apparently not ever

486
00:26:14,000 --> 00:26:16,560
Speaker 2: going to happen because of this. But it's so rare,

487
00:26:17,320 --> 00:26:20,159
Speaker 2: I'm sure there's like not even any cases of it,

488
00:26:20,280 --> 00:26:22,159
Speaker 2: or if there are, there's not that many of this

489
00:26:22,320 --> 00:26:23,080
Speaker 2: ever happening.

490
00:26:23,400 --> 00:26:27,280
Speaker 1: So like, all right, so the person who donated their organs,

491
00:26:27,480 --> 00:26:30,160
Speaker 1: so they got rabies obviously, and then how long does

492
00:26:30,160 --> 00:26:31,119
Speaker 1: that take to present?

493
00:26:32,000 --> 00:26:34,600
Speaker 2: So this is this is what I'm thinking right now.

494
00:26:35,359 --> 00:26:38,679
Speaker 2: I'm thinking, when you get bit by an animal that

495
00:26:38,720 --> 00:26:42,159
Speaker 2: has rabies, it takes anywhere from three to eight weeks

496
00:26:42,160 --> 00:26:47,200
Speaker 2: to start showing signs of the infection. But there's documentation

497
00:26:47,520 --> 00:26:51,800
Speaker 2: of this taking days, weeks and even a month to

498
00:26:51,920 --> 00:26:56,840
Speaker 2: show up it as an infection. So this person, I'm

499
00:26:56,880 --> 00:27:00,560
Speaker 2: thinking that the person that donated the organ could have

500
00:27:00,720 --> 00:27:05,000
Speaker 2: possibly been bit by an animal and didn't go to

501
00:27:05,040 --> 00:27:08,280
Speaker 2: the hospital and get treatment and get the rabies vaccine

502
00:27:08,280 --> 00:27:12,000
Speaker 2: when they went to the hospital and then died, maybe

503
00:27:12,040 --> 00:27:15,320
Speaker 2: in a car accident shortly thereafter or within a couple

504
00:27:15,440 --> 00:27:18,200
Speaker 2: weeks of that bite, and that's how it went down.

505
00:27:18,240 --> 00:27:22,000
Speaker 2: So the person wasn't having any symptoms yet of rabies,

506
00:27:22,800 --> 00:27:26,560
Speaker 2: but had it inside of their body. Because the only

507
00:27:26,640 --> 00:27:33,199
Speaker 2: other option is that this person got the transplant and

508
00:27:33,240 --> 00:27:37,080
Speaker 2: then went home and got rabies themselves and then died,

509
00:27:37,640 --> 00:27:40,840
Speaker 2: and I don't think that's likely because this person had

510
00:27:40,840 --> 00:27:45,480
Speaker 2: the transplant and died within a month. And like we said,

511
00:27:45,520 --> 00:27:49,720
Speaker 2: the lowest point of the incubation period is three weeks,

512
00:27:50,240 --> 00:27:53,440
Speaker 2: So if you get a transplant, you're in the hospital.

513
00:27:53,880 --> 00:27:55,280
Speaker 2: I don't know how long you would be in the

514
00:27:55,280 --> 00:27:58,000
Speaker 2: hospital if there was any complications or whatever, but you're

515
00:27:58,040 --> 00:27:59,840
Speaker 2: in the hospital for a little while after you get

516
00:27:59,880 --> 00:28:03,600
Speaker 2: it transplant, So there wouldn't even have physically been time

517
00:28:04,320 --> 00:28:07,359
Speaker 2: for this patient to go home and interact with an

518
00:28:07,400 --> 00:28:11,360
Speaker 2: animal to get bit and then go back to the hospital. Furthermore,

519
00:28:12,040 --> 00:28:15,800
Speaker 2: this person lives in Michigan and had the transplant surgery

520
00:28:15,880 --> 00:28:19,639
Speaker 2: done in Ohio, and they said that the person died

521
00:28:19,760 --> 00:28:23,639
Speaker 2: at the same place where they had the transplant, which

522
00:28:23,680 --> 00:28:27,880
Speaker 2: means to me that it's possible that that person never

523
00:28:27,960 --> 00:28:30,960
Speaker 2: even left the hospital after they had the transplant. And

524
00:28:31,040 --> 00:28:36,840
Speaker 2: we're exhibiting started exhibiting super weird symptoms that you know,

525
00:28:36,920 --> 00:28:39,960
Speaker 2: these these transplant nurses and doctors take care of these

526
00:28:39,960 --> 00:28:42,720
Speaker 2: people all the time, and they know what they're looking for,

527
00:28:42,760 --> 00:28:45,120
Speaker 2: which is rejection of the organ is the biggest thing,

528
00:28:45,200 --> 00:28:50,200
Speaker 2: or infection. And then this person starts showing these symptoms

529
00:28:50,200 --> 00:28:53,160
Speaker 2: that you wouldn't normally see in those types of patients,

530
00:28:53,200 --> 00:28:59,040
Speaker 2: including like respiratory arrests and seizures and paralysis and things

531
00:28:59,040 --> 00:29:01,320
Speaker 2: that like would be we to happen in a normal

532
00:29:01,320 --> 00:29:04,640
Speaker 2: transplant person. And that might be how they were keyed

533
00:29:04,720 --> 00:29:07,800
Speaker 2: in that this was happening. So let's say, for example,

534
00:29:08,320 --> 00:29:11,800
Speaker 2: the donor had lived another couple weeks, maybe they would

535
00:29:11,840 --> 00:29:14,200
Speaker 2: have started exhibiting the symptoms and been one of the

536
00:29:14,280 --> 00:29:17,760
Speaker 2: ten people that died in this country from it, which

537
00:29:17,800 --> 00:29:19,320
Speaker 2: is still outrageous to me.

538
00:29:19,640 --> 00:29:22,880
Speaker 1: Can you just imagine having the bad look of kindragting

539
00:29:23,120 --> 00:29:25,360
Speaker 1: rabees and then dying in a car accident?

540
00:29:26,320 --> 00:29:30,040
Speaker 2: If this is well, yeah, I mean exactly, But I

541
00:29:30,080 --> 00:29:33,600
Speaker 2: mean I'm just saying that because the reason I'm saying

542
00:29:33,600 --> 00:29:36,880
Speaker 2: a car accident is because if a person went to

543
00:29:36,920 --> 00:29:40,640
Speaker 2: the hospital and was exhibiting any of these symptoms, they

544
00:29:40,680 --> 00:29:44,680
Speaker 2: would they would not be a candidate for the transplant. Yeah,

545
00:29:44,720 --> 00:29:48,200
Speaker 2: so they weren't having anything like this before they died,

546
00:29:48,200 --> 00:29:50,360
Speaker 2: and that makes me think, Okay, they just died in

547
00:29:50,440 --> 00:29:52,920
Speaker 2: some kind of an accident, like a drop dead situation.

548
00:29:53,400 --> 00:29:57,000
Speaker 2: And what they do the Oregon Donor Centers, they determined

549
00:29:57,040 --> 00:29:59,640
Speaker 2: there's a different a bunch of different factors. They do

550
00:29:59,760 --> 00:30:03,680
Speaker 2: tell for certain bacteria and viruses for sure, but like

551
00:30:04,080 --> 00:30:07,000
Speaker 2: common ones. Right, they're not going to test for rabies

552
00:30:07,040 --> 00:30:08,880
Speaker 2: because it's not common. They're not going to test for

553
00:30:08,960 --> 00:30:13,160
Speaker 2: polio like they just won't test for like Rando things ebola, like,

554
00:30:13,320 --> 00:30:16,000
Speaker 2: come on, it's just not happening, So they test for

555
00:30:16,040 --> 00:30:19,160
Speaker 2: the most common ones. Sometimes they look at pieces of

556
00:30:19,240 --> 00:30:22,160
Speaker 2: an organ under the microscope to determine if it looks healthy.

557
00:30:22,520 --> 00:30:24,840
Speaker 2: They ask a lot of questions to the family and friends,

558
00:30:24,880 --> 00:30:26,600
Speaker 2: like were they sick, did they have any of this?

559
00:30:26,720 --> 00:30:30,160
Speaker 2: Did they have any of that? And that's it, Like,

560
00:30:30,920 --> 00:30:33,720
Speaker 2: I don't think that they did anything wrong here. I

561
00:30:33,800 --> 00:30:36,040
Speaker 2: just think this is like such a freak thing. I

562
00:30:36,080 --> 00:30:38,480
Speaker 2: just don't see how else it could have possibly happened.

563
00:30:39,480 --> 00:30:42,480
Speaker 1: Yeah, I do think it's just so it's so weird

564
00:30:42,520 --> 00:30:44,880
Speaker 1: to talk about because it's so rare in general, and

565
00:30:44,920 --> 00:30:47,320
Speaker 1: then like you just had like everything go wrong at

566
00:30:47,360 --> 00:30:49,240
Speaker 1: the exact same moment with this case.

567
00:30:49,920 --> 00:30:52,400
Speaker 2: Yeah, I mean, I don't know if you remember. Back

568
00:30:52,400 --> 00:30:55,920
Speaker 2: in September, we talked about a case where there was

569
00:30:56,000 --> 00:30:59,040
Speaker 2: this boy that had a bat in his bedroom and

570
00:30:59,080 --> 00:31:03,080
Speaker 2: then he ended up dying from raby's and it was

571
00:31:03,120 --> 00:31:05,400
Speaker 2: like his parents didn't even know they got the bat

572
00:31:05,480 --> 00:31:07,280
Speaker 2: out of the house. The parents didn't even know that

573
00:31:07,320 --> 00:31:10,720
Speaker 2: the bat had bit him because they because their teeth

574
00:31:10,800 --> 00:31:13,280
Speaker 2: can leave like pinpoint little marks, and they just didn't

575
00:31:13,280 --> 00:31:18,560
Speaker 2: see it. So it's just totally possible that this person

576
00:31:18,680 --> 00:31:21,680
Speaker 2: just got that got got bit by an animal. Like

577
00:31:21,720 --> 00:31:23,880
Speaker 2: you're you have to go to the hospital when you

578
00:31:23,920 --> 00:31:26,880
Speaker 2: get bit by an animal, because they have drugs that

579
00:31:26,920 --> 00:31:32,200
Speaker 2: they can give you, and it's it's called post exposure prophylaxis.

580
00:31:32,800 --> 00:31:36,840
Speaker 2: It is nearly one hundred percent effective if it's administered

581
00:31:36,880 --> 00:31:40,760
Speaker 2: within forty eight hours of a bite. So getting bit

582
00:31:40,840 --> 00:31:43,720
Speaker 2: by an animal and not going and get this getting

583
00:31:43,760 --> 00:31:46,160
Speaker 2: this done, I mean sometimes it's like, Okay, if your

584
00:31:46,200 --> 00:31:47,840
Speaker 2: dog bites you, and you know your dog's up on

585
00:31:48,000 --> 00:31:49,800
Speaker 2: it shots and stuff, then you could be like, all right,

586
00:31:49,840 --> 00:31:53,280
Speaker 2: I'm not gonna go, you know. But but really it's

587
00:31:53,360 --> 00:31:57,280
Speaker 2: just it's funny because I was just thinking about this. Actually,

588
00:31:58,320 --> 00:32:01,360
Speaker 2: do you remember years ago, Lillian was like eighteen months

589
00:32:01,400 --> 00:32:03,600
Speaker 2: old and we were at some art show and some

590
00:32:03,960 --> 00:32:06,960
Speaker 2: guy was carrying around one of those like Paris Hilton

591
00:32:07,040 --> 00:32:11,080
Speaker 2: purse dogs that it had like a Louis Vauton outfit

592
00:32:11,160 --> 00:32:13,200
Speaker 2: on that was more expensive than any of the clothes

593
00:32:13,240 --> 00:32:15,880
Speaker 2: I was wearing. And it was like a pomeranium, like

594
00:32:15,920 --> 00:32:19,200
Speaker 2: a little tiny, like miniature Pomerani thing, and it bit

595
00:32:19,360 --> 00:32:22,120
Speaker 2: Lilian on the hand. It likes. She thought it was

596
00:32:22,120 --> 00:32:24,360
Speaker 2: like a doll and like hit it on the face

597
00:32:24,360 --> 00:32:27,320
Speaker 2: and it bit her right so and it didn't it

598
00:32:27,360 --> 00:32:29,280
Speaker 2: didn't really even hurt her. It just was like a

599
00:32:29,320 --> 00:32:32,040
Speaker 2: little nibble thing. But I just took her to the

600
00:32:32,080 --> 00:32:35,560
Speaker 2: doctor right away, and and you know, he was just like,

601
00:32:35,560 --> 00:32:37,400
Speaker 2: all right, well we have to figure out. So I

602
00:32:37,520 --> 00:32:39,840
Speaker 2: got the guy's information and figured out that the dog

603
00:32:39,920 --> 00:32:41,880
Speaker 2: had shots and stuff, because it's like you just I'm like,

604
00:32:41,920 --> 00:32:43,680
Speaker 2: I'm sure the dog is up to date on its

605
00:32:43,680 --> 00:32:47,680
Speaker 2: shots because it's full out in Louis Vaton and gets

606
00:32:47,680 --> 00:32:51,240
Speaker 2: like a SPA treatment every night, right, Sometimes people prioritize

607
00:32:51,280 --> 00:32:54,840
Speaker 2: the Vaton outfits over the medical exactly, But so it

608
00:32:54,920 --> 00:32:57,120
Speaker 2: all worked out well. But that's that's why they want

609
00:32:57,120 --> 00:33:01,600
Speaker 2: to know, because you can get this this Raybi's uh

610
00:33:02,440 --> 00:33:05,440
Speaker 2: you know, the post exposure PROFILACCECS and and it will

611
00:33:05,760 --> 00:33:09,440
Speaker 2: prevent you from from getting it. So because rabies is

612
00:33:09,520 --> 00:33:14,040
Speaker 2: one hundred percent fatal, like there's barely there's a couple

613
00:33:14,080 --> 00:33:16,760
Speaker 2: people that have survived in history, a couple people like

614
00:33:16,800 --> 00:33:19,640
Speaker 2: you don't want it ever, so it's just better to

615
00:33:19,680 --> 00:33:22,000
Speaker 2: get it treated. And I just I guess this is

616
00:33:22,080 --> 00:33:24,960
Speaker 2: just like one of I don't even I don't even

617
00:33:25,000 --> 00:33:27,800
Speaker 2: know that you could even plan something like this. I

618
00:33:28,160 --> 00:33:30,160
Speaker 2: just don't see how else it's possible.

619
00:33:30,800 --> 00:33:33,480
Speaker 1: This is a storyline on nineteen twenty three right now,

620
00:33:33,520 --> 00:33:35,560
Speaker 1: where that girl we were talking about a couple of

621
00:33:35,560 --> 00:33:39,000
Speaker 1: weeks ago that like has so much like botox and fillers.

622
00:33:39,000 --> 00:33:42,400
Speaker 1: She's like not believable at all. Her character like gets

623
00:33:42,440 --> 00:33:45,400
Speaker 1: bit by a wolf that has Raybi's and she has

624
00:33:45,440 --> 00:33:48,680
Speaker 1: to get these insane you know how they like make

625
00:33:48,840 --> 00:33:52,520
Speaker 1: needles from back then look so crazy in TV and movies.

626
00:33:52,600 --> 00:33:55,320
Speaker 1: But it's just this horrible thing that she has to get.

627
00:33:55,360 --> 00:33:59,920
Speaker 1: Like every episode I hate watching it. She looks just horrible.

628
00:34:01,200 --> 00:34:04,360
Speaker 2: The thing is is that back in the day, rabies

629
00:34:04,520 --> 00:34:07,080
Speaker 2: used to be an issue and it's one of these

630
00:34:07,120 --> 00:34:12,080
Speaker 2: really cool things where animal medicine and human medicine came

631
00:34:12,120 --> 00:34:15,680
Speaker 2: together and got it under control. And it's mostly because

632
00:34:15,760 --> 00:34:19,120
Speaker 2: of vaccinating the animals. But then it's also when people

633
00:34:19,120 --> 00:34:22,840
Speaker 2: get exposed, because like every there's no point of every

634
00:34:22,840 --> 00:34:27,040
Speaker 2: single person getting vaccinated for that, because why add another

635
00:34:27,120 --> 00:34:29,480
Speaker 2: one of the thousands that we need to get anyway, right,

636
00:34:29,920 --> 00:34:32,400
Speaker 2: But like if you're at a higher exposure, like people

637
00:34:32,440 --> 00:34:34,520
Speaker 2: that work at vet offices and stuff. They should be

638
00:34:34,600 --> 00:34:37,759
Speaker 2: protected against that because there's a very high risk they're

639
00:34:37,760 --> 00:34:41,320
Speaker 2: going to get bit by an animal. Right, But it's cool,

640
00:34:41,360 --> 00:34:46,640
Speaker 2: like it used to be really present in dogs, even

641
00:34:46,719 --> 00:34:49,000
Speaker 2: back in the day before the vaccinations and stuff. So

642
00:34:49,040 --> 00:34:53,080
Speaker 2: it's it really has gone away and it's not killing

643
00:34:53,120 --> 00:34:55,360
Speaker 2: thousands of people every year like it used to. And

644
00:34:55,400 --> 00:34:57,880
Speaker 2: now it's just ten. And one of these ten just

645
00:34:57,880 --> 00:35:02,320
Speaker 2: so happened to donate an organ and it sucks actually

646
00:35:02,360 --> 00:35:04,440
Speaker 2: because the guy got a second chance at life and

647
00:35:04,480 --> 00:35:07,000
Speaker 2: got a kidney and then he died anyway because of

648
00:35:07,239 --> 00:35:08,839
Speaker 2: rabies of all. Like it's so.

649
00:35:08,880 --> 00:35:12,000
Speaker 1: Outrageous, all right, So let's get onto this last story,

650
00:35:12,040 --> 00:35:14,600
Speaker 1: which this one is truly one of the most unbelievable

651
00:35:14,640 --> 00:35:16,799
Speaker 1: ones for me, which is the sixty six year old

652
00:35:16,840 --> 00:35:20,080
Speaker 1: woman in Germany has given birth to her tenth child vs.

653
00:35:20,320 --> 00:35:24,120
Speaker 2: Section, Like, why would you even want to have a

654
00:35:24,120 --> 00:35:26,560
Speaker 2: baby when you're sixty six? I just don't. I can't

655
00:35:26,600 --> 00:35:28,040
Speaker 2: wrap my brain around it.

656
00:35:28,040 --> 00:35:30,960
Speaker 1: It looks like she had two children when she was younger,

657
00:35:31,040 --> 00:35:34,240
Speaker 1: and then since she turned fifty three she's had eight kids,

658
00:35:34,280 --> 00:35:37,719
Speaker 1: including twins, And I.

659
00:35:37,680 --> 00:35:41,120
Speaker 2: Mean, is she married and stuff, like her husband's on

660
00:35:41,200 --> 00:35:43,200
Speaker 2: board with this too, or what's happening there.

661
00:35:43,520 --> 00:35:46,000
Speaker 1: I mean, there wasn't really much background on her other

662
00:35:46,040 --> 00:35:48,319
Speaker 1: than the fact that she's a museum director. But I

663
00:35:48,360 --> 00:35:50,480
Speaker 1: don't know why you would choose to do this. I mean,

664
00:35:50,480 --> 00:35:52,560
Speaker 1: she was saying that she wanted a large family and

665
00:35:52,560 --> 00:35:55,600
Speaker 1: all this stuff, and she made sure to let everybody

666
00:35:55,640 --> 00:35:58,760
Speaker 1: know she did not use any reproductive technologies to conceive

667
00:35:58,840 --> 00:35:59,440
Speaker 1: the children.

668
00:36:00,200 --> 00:36:03,000
Speaker 2: But I just think it's crazy. It's possible because you

669
00:36:03,040 --> 00:36:06,520
Speaker 2: can get something that's like late onset menopause. I mean,

670
00:36:06,560 --> 00:36:10,560
Speaker 2: think about even there's such a variety of a window

671
00:36:10,680 --> 00:36:14,239
Speaker 2: of when women could go into menopause, right, so think

672
00:36:14,280 --> 00:36:16,000
Speaker 2: about when you were a kid even and get in

673
00:36:16,040 --> 00:36:18,080
Speaker 2: your period. It's like I knew kids that got it

674
00:36:18,120 --> 00:36:20,399
Speaker 2: when they were eight years old, and like my mom

675
00:36:20,520 --> 00:36:22,920
Speaker 2: got hers when she was seventeen years old. It's just

676
00:36:23,000 --> 00:36:27,080
Speaker 2: a huge variation in ages. And you know, they'll call

677
00:36:27,120 --> 00:36:30,840
Speaker 2: it precocious or late set puberty and everything like that.

678
00:36:30,920 --> 00:36:34,920
Speaker 2: But when you're talking about menopause, it's considered anything after

679
00:36:35,000 --> 00:36:38,920
Speaker 2: fifty five years old is considered to be late on set.

680
00:36:39,239 --> 00:36:41,600
Speaker 2: But I found a really cool case actually of this

681
00:36:41,680 --> 00:36:43,759
Speaker 2: sixty five year old lady that went to the er

682
00:36:43,880 --> 00:36:46,640
Speaker 2: after she had a cerebral vascular accident, so like a

683
00:36:46,760 --> 00:36:49,799
Speaker 2: stroke or something like a mini stroke or something. And

684
00:36:50,239 --> 00:36:52,480
Speaker 2: when she was getting examined, they noted that she had

685
00:36:52,600 --> 00:36:56,719
Speaker 2: vaginal bleeding and they consulted gynecology and they talked to

686
00:36:56,800 --> 00:36:59,479
Speaker 2: her and when she got interviewed, she was like, yeah,

687
00:36:59,520 --> 00:37:01,680
Speaker 2: I still get my period, and they were like, eh,

688
00:37:01,719 --> 00:37:06,000
Speaker 2: are you sure. And because when a woman, it is

689
00:37:06,040 --> 00:37:08,680
Speaker 2: in her sixties, sixty five year old woman is bleeding,

690
00:37:08,760 --> 00:37:11,600
Speaker 2: they consider that to be like it's a it's a

691
00:37:11,600 --> 00:37:14,080
Speaker 2: bad sign and it could be a sign of endometrial

692
00:37:14,160 --> 00:37:17,279
Speaker 2: cancer or something like that. So they interviewed her and

693
00:37:17,320 --> 00:37:19,080
Speaker 2: she was like, no, I still get my period. So

694
00:37:19,120 --> 00:37:21,399
Speaker 2: they wanted to check because they're like, eh, you could

695
00:37:21,400 --> 00:37:23,080
Speaker 2: have been bleeding for a while and you might have

696
00:37:23,160 --> 00:37:26,080
Speaker 2: like uterine cancer or something like that. And sure enough,

697
00:37:26,160 --> 00:37:28,400
Speaker 2: like her blood work, her hormones were checked and they

698
00:37:28,440 --> 00:37:31,600
Speaker 2: were at the pre menopausal range at sixty five years old.

699
00:37:31,920 --> 00:37:35,600
Speaker 2: So it's yeah, it's it's it's really interesting, right, So

700
00:37:36,520 --> 00:37:40,799
Speaker 2: I mean it sounds terrible to an extent because listen, like,

701
00:37:41,360 --> 00:37:43,479
Speaker 2: just because I'm a person that's kind of going through

702
00:37:43,480 --> 00:37:45,640
Speaker 2: that right now. I always was like I can't wait

703
00:37:45,760 --> 00:37:48,120
Speaker 2: till I get my stop getting my period, and now

704
00:37:48,160 --> 00:37:50,360
Speaker 2: that like, I'm I really haven't had it much in

705
00:37:50,400 --> 00:37:52,879
Speaker 2: the past two years. I'm like, I kind of wish

706
00:37:52,920 --> 00:37:55,320
Speaker 2: I had it back because I felt like at least

707
00:37:56,000 --> 00:37:58,719
Speaker 2: it was like very regular, like every whatever it is,

708
00:37:58,760 --> 00:38:00,680
Speaker 2: twenty eight days or whatever, you get it, and you

709
00:38:00,719 --> 00:38:02,160
Speaker 2: would know that you would feel like shit for a

710
00:38:02,200 --> 00:38:03,680
Speaker 2: couple of days, but then you would know it would

711
00:38:03,719 --> 00:38:06,160
Speaker 2: go away. And now it's just like all of that

712
00:38:06,280 --> 00:38:08,000
Speaker 2: is kind of all over the place, and I just

713
00:38:08,200 --> 00:38:12,080
Speaker 2: hate that. But just thinking about bleeding like a period

714
00:38:12,120 --> 00:38:14,799
Speaker 2: at sixty five years old just sounds terrible to me.

715
00:38:15,280 --> 00:38:18,400
Speaker 2: But this, so this is what could have possibly happened

716
00:38:18,400 --> 00:38:22,440
Speaker 2: with this lady, that she just that she still is ovulating,

717
00:38:22,560 --> 00:38:26,120
Speaker 2: And I mean, after you're forty five years old, they're

718
00:38:26,280 --> 00:38:29,880
Speaker 2: like the chances of you having a baby naturally just

719
00:38:30,239 --> 00:38:36,320
Speaker 2: diminish even after thirty five. Really, so it's it's totally

720
00:38:36,360 --> 00:38:38,440
Speaker 2: possible that she's not lying about that.

721
00:38:38,840 --> 00:38:41,040
Speaker 1: No, I don't think she's lying about it. But I'm

722
00:38:41,080 --> 00:38:42,920
Speaker 1: like sitting here as a thirty year old, like I

723
00:38:42,960 --> 00:38:45,319
Speaker 1: don't even want to put my body at thirty years

724
00:38:45,320 --> 00:38:48,160
Speaker 1: old through the process of giving birth right, let alone

725
00:38:48,520 --> 00:38:51,240
Speaker 1: having a sea section, let alone having eight sea sections,

726
00:38:51,280 --> 00:38:55,400
Speaker 1: Because isn't that an incredibly intense surgery. It's not just

727
00:38:55,520 --> 00:38:58,720
Speaker 1: like yeah, and you risk you risk that every single

728
00:38:58,760 --> 00:39:01,479
Speaker 1: time just opening up that wound again, and you could

729
00:39:01,560 --> 00:39:04,759
Speaker 1: you could have complications associated with that and adhesions like

730
00:39:04,760 --> 00:39:08,640
Speaker 1: when your organs stick to your other organs, and like

731
00:39:08,719 --> 00:39:10,680
Speaker 1: in the case of the C section, it could be

732
00:39:10,719 --> 00:39:12,880
Speaker 1: like your uterus could stick to the front of your

733
00:39:12,920 --> 00:39:16,160
Speaker 1: abdominal wall and it could cause a lot of problems.

734
00:39:16,200 --> 00:39:19,239
Speaker 2: Like the thing is is that you know so many

735
00:39:19,239 --> 00:39:21,879
Speaker 2: people that have babies and stuff, and if you ask

736
00:39:21,960 --> 00:39:24,480
Speaker 2: them all their experiences, everyone has a different one. Some

737
00:39:24,520 --> 00:39:26,600
Speaker 2: people just don't think pregnancy is like that big of

738
00:39:26,640 --> 00:39:28,680
Speaker 2: a deal all at all, and they just go about

739
00:39:28,680 --> 00:39:31,160
Speaker 2: their life and pop the kid out and then they're

740
00:39:31,239 --> 00:39:34,120
Speaker 2: just like find the whole time. And other women are like,

741
00:39:34,160 --> 00:39:36,840
Speaker 2: this is the worst thing ever. I don't want to

742
00:39:36,880 --> 00:39:40,960
Speaker 2: do this again. And it's like for me, like, I

743
00:39:41,000 --> 00:39:43,239
Speaker 2: don't think it was the greatest thing ever. I'm kind

744
00:39:43,280 --> 00:39:47,000
Speaker 2: of neutral about it, like I I mean, I'm just

745
00:39:47,040 --> 00:39:50,759
Speaker 2: like older now, so I wouldn't consider it. But it

746
00:39:51,200 --> 00:39:54,000
Speaker 2: wasn't the worst thing ever. But also it wasn't I

747
00:39:54,000 --> 00:39:56,120
Speaker 2: didn't think it was great. Like momm thinks it was

748
00:39:56,120 --> 00:39:58,560
Speaker 2: the best thing ever being pregnant. She thought it was amazing.

749
00:39:58,880 --> 00:40:00,719
Speaker 1: Oh my god, I can't believe that.

750
00:40:01,280 --> 00:40:03,880
Speaker 2: But you see people all the time that are just

751
00:40:04,360 --> 00:40:06,759
Speaker 2: that are just like, yeah, this is great, like and

752
00:40:07,040 --> 00:40:09,120
Speaker 2: they gain like twenty pounds the whole time, and they're

753
00:40:09,160 --> 00:40:13,279
Speaker 2: exercising the whole time, and like, no, I just like

754
00:40:13,320 --> 00:40:16,960
Speaker 2: there's certain things about that. I mean, it's a good experience,

755
00:40:17,000 --> 00:40:21,279
Speaker 2: of course, but like so, but some people just I mean,

756
00:40:21,719 --> 00:40:23,960
Speaker 2: she's kind of like, Okay, I'm sixty six, and I'm

757
00:40:23,960 --> 00:40:25,960
Speaker 2: gonna see if this could happen, and if it happens,

758
00:40:26,000 --> 00:40:28,920
Speaker 2: like she just is, she's on the news now right

759
00:40:29,000 --> 00:40:29,239
Speaker 2: for it?

760
00:40:29,320 --> 00:40:32,880
Speaker 1: Right, I mean, can I just say something a little controversial,

761
00:40:33,040 --> 00:40:37,560
Speaker 1: Like I keep seeing all this press about how awesome

762
00:40:37,560 --> 00:40:40,040
Speaker 1: it is that Robert de Niro, who's eighty one years old,

763
00:40:40,080 --> 00:40:43,000
Speaker 1: has this baby, right, and how he's such a great dad,

764
00:40:43,040 --> 00:40:46,840
Speaker 1: And I'm like, is it not selfish to have a

765
00:40:46,960 --> 00:40:50,360
Speaker 1: child when you're eighty years old, like giving them basically

766
00:40:50,400 --> 00:40:51,200
Speaker 1: no life with you.

767
00:40:52,680 --> 00:40:56,400
Speaker 2: But like this woman we're talking about sixty six, Like

768
00:40:57,680 --> 00:41:01,319
Speaker 2: my grandmam died when she was ninety nine, so I

769
00:41:01,360 --> 00:41:04,200
Speaker 2: mean technically, like this lady could live in other thirty

770
00:41:04,280 --> 00:41:06,040
Speaker 2: years and like that's.

771
00:41:06,040 --> 00:41:08,200
Speaker 1: Yeah, but what's the likelihood she's gonna live in another

772
00:41:08,280 --> 00:41:08,839
Speaker 1: thirty years?

773
00:41:08,920 --> 00:41:09,680
Speaker 2: Because like what's that?

774
00:41:10,000 --> 00:41:12,880
Speaker 1: She seems like she's healthier than I am, for sure.

775
00:41:13,239 --> 00:41:13,719
Speaker 2: I don't know.

776
00:41:14,080 --> 00:41:16,680
Speaker 1: I just think it's this weird thing, and like if

777
00:41:16,719 --> 00:41:18,640
Speaker 1: you want to do it, do whatever you want. I

778
00:41:18,760 --> 00:41:21,759
Speaker 1: just think it's like bizarre when you want to have

779
00:41:21,800 --> 00:41:24,040
Speaker 1: a kid when you're in your fifties and sixties and

780
00:41:24,320 --> 00:41:26,680
Speaker 1: seventies and like Robert de Niro in your eighties. You know,

781
00:41:27,360 --> 00:41:28,440
Speaker 1: it's just bizarre to me.

782
00:41:28,800 --> 00:41:31,359
Speaker 2: Yeah, but then like what are you going to make

783
00:41:31,360 --> 00:41:34,200
Speaker 2: a magic age? It's the same thing as telling people

784
00:41:34,239 --> 00:41:38,360
Speaker 2: they can't have you know what. People of course, like listen,

785
00:41:38,440 --> 00:41:39,960
Speaker 2: I'll sit there and be the first to be like

786
00:41:40,000 --> 00:41:42,080
Speaker 2: this lady's a moron, and so are people that have

787
00:41:42,120 --> 00:41:44,080
Speaker 2: twenty kids and everything like that. But like it's not

788
00:41:44,200 --> 00:41:47,000
Speaker 2: my life, so I don't care. Right, it's you can't

789
00:41:47,000 --> 00:41:50,320
Speaker 2: put an age because because that's you just can't do that.

790
00:41:50,320 --> 00:41:53,120
Speaker 2: That's like one of your free rights as a human

791
00:41:53,200 --> 00:41:58,080
Speaker 2: being is to have children. Like whenever you want and right.

792
00:41:58,520 --> 00:42:00,680
Speaker 1: Yeah, I guess it's just a thought had because they've

793
00:42:00,719 --> 00:42:03,759
Speaker 1: been seeing all this stuff like I don't even know why,

794
00:42:03,800 --> 00:42:06,440
Speaker 1: Robert and keeps popping up like a news cycle. The

795
00:42:07,200 --> 00:42:11,760
Speaker 1: way that you're saying it is like, like I understand

796
00:42:11,800 --> 00:42:15,799
Speaker 1: what you're saying, but it's because like most people have this,

797
00:42:16,400 --> 00:42:18,759
Speaker 1: Most people, I would say, have this idea of what

798
00:42:18,800 --> 00:42:23,040
Speaker 1: an ideal life for a child should be. But that

799
00:42:23,200 --> 00:42:28,000
Speaker 1: doesn't mean that other children's life are not as valid,

800
00:42:28,080 --> 00:42:33,120
Speaker 1: because then you're getting into sl like then people would say, okay,

801
00:42:33,200 --> 00:42:36,600
Speaker 1: and well, actually people have said and do say, when

802
00:42:36,640 --> 00:42:38,920
Speaker 1: you're a teenager and you get pregnant that you should

803
00:42:38,960 --> 00:42:41,279
Speaker 1: automatically get an abortion because what kind of life would

804
00:42:41,320 --> 00:42:45,880
Speaker 1: that kid have? And like you're a prime example of that, right, So, so,

805
00:42:46,120 --> 00:42:48,839
Speaker 1: like you definitely didn't have what would be considered an

806
00:42:48,880 --> 00:42:52,480
Speaker 1: ideal life as a child because your mom and dad

807
00:42:52,520 --> 00:42:55,399
Speaker 1: weren't together, and you lived at the house with your grandparents,

808
00:42:55,400 --> 00:42:57,560
Speaker 1: and your uncle is almost like your brother and like

809
00:42:58,080 --> 00:43:01,200
Speaker 1: just some weird backwood shit, right, But but like you

810
00:43:01,280 --> 00:43:04,120
Speaker 1: add a good life and you're a successful adult, and

811
00:43:04,160 --> 00:43:08,080
Speaker 1: that doesn't mean that like your life wasn't worth being

812
00:43:08,120 --> 00:43:11,800
Speaker 1: born because you weren't born into an ideal situation, and honestly,

813
00:43:11,840 --> 00:43:14,000
Speaker 1: like if you just look around at everyone, you know,

814
00:43:14,360 --> 00:43:16,839
Speaker 1: there's a lot of kids that are living in situations

815
00:43:16,840 --> 00:43:19,440
Speaker 1: that you're like, that's probably not the best thing for

816
00:43:19,520 --> 00:43:22,200
Speaker 1: the kid, but they're they're fine. I guess my mind,

817
00:43:22,239 --> 00:43:24,640
Speaker 1: I don't even think about it when it comes to

818
00:43:24,760 --> 00:43:27,520
Speaker 1: terms with like our situation with you having me so young.

819
00:43:27,640 --> 00:43:30,359
Speaker 1: I think I go there to it being selfish because

820
00:43:30,719 --> 00:43:34,279
Speaker 1: I immediately think like eighty years old equals death soon

821
00:43:35,040 --> 00:43:38,319
Speaker 1: equals like this, And I know that's I know that's

822
00:43:38,360 --> 00:43:41,600
Speaker 1: like insane to think that way, but I just it

823
00:43:41,640 --> 00:43:44,440
Speaker 1: always crosses my mind, like these people are having kids

824
00:43:44,480 --> 00:43:47,959
Speaker 1: so old and then like their kid has no life

825
00:43:48,000 --> 00:43:50,640
Speaker 1: with them. And obviously, in Robert de Niro's case, for example,

826
00:43:50,680 --> 00:43:53,000
Speaker 1: he has the means to give this kid a really

827
00:43:53,000 --> 00:43:55,800
Speaker 1: good life, but that's the thing for case they don't.

828
00:43:56,200 --> 00:43:58,920
Speaker 2: With famous people though, Like if you when you hear

829
00:43:58,960 --> 00:44:01,400
Speaker 2: about some of the way these people live, it's like

830
00:44:01,560 --> 00:44:05,360
Speaker 2: they're they're kids. Do you think like Kardashian's kids really

831
00:44:05,400 --> 00:44:09,000
Speaker 2: have much of a life with them, like really, Like

832
00:44:09,040 --> 00:44:10,960
Speaker 2: I know that you show it on TV and this

833
00:44:11,000 --> 00:44:13,960
Speaker 2: and that, but like how much time are they actually,

834
00:44:14,080 --> 00:44:17,920
Speaker 2: Like if you think about a traditional parent that's getting

835
00:44:17,920 --> 00:44:20,200
Speaker 2: their kids from school and coming home and sitting down

836
00:44:20,239 --> 00:44:22,640
Speaker 2: and doing their homework and going to their sports games

837
00:44:22,640 --> 00:44:25,319
Speaker 2: and doing this and doing that, Like a lot of

838
00:44:25,360 --> 00:44:28,720
Speaker 2: these famous parents aren't like very involved like that anyway.

839
00:44:28,719 --> 00:44:31,879
Speaker 2: There's always like some nanny with them all the time, this, that,

840
00:44:31,920 --> 00:44:34,440
Speaker 2: and the other. They might not even like go to school.

841
00:44:34,480 --> 00:44:36,919
Speaker 2: They might like I'm sure some of them travel with them,

842
00:44:36,920 --> 00:44:39,520
Speaker 2: but I think that a lot of them they're just

843
00:44:39,600 --> 00:44:42,520
Speaker 2: in this kind of life that other people take care

844
00:44:42,680 --> 00:44:46,520
Speaker 2: of the children. So it's like, so when de Niro dies,

845
00:44:46,600 --> 00:44:48,920
Speaker 2: like who cares? Because he could just pay someone and

846
00:44:48,960 --> 00:44:50,879
Speaker 2: leave money in his will for someone else to take

847
00:44:50,920 --> 00:44:53,760
Speaker 2: care of the kid. And really the kid's mom is

848
00:44:53,760 --> 00:44:55,640
Speaker 2: is like thirty or something, right.

849
00:44:56,320 --> 00:45:00,000
Speaker 1: Yeah, I guess my my greater problem is when people

850
00:45:00,000 --> 00:45:03,120
Speaker 1: we are like I'm not talking about women that are.

851
00:45:03,040 --> 00:45:04,960
Speaker 2: Like forty having a baby. I'm talking about.

852
00:45:04,800 --> 00:45:08,200
Speaker 1: Women that are like, so what this lady, what you're.

853
00:45:08,320 --> 00:45:11,160
Speaker 2: What's you're cut off age? Then when you're going to

854
00:45:11,280 --> 00:45:16,480
Speaker 2: Congress to put forth this time Congress, I'm just saying like,

855
00:45:17,000 --> 00:45:18,759
Speaker 2: and then you could say you could say the same

856
00:45:18,800 --> 00:45:21,799
Speaker 2: thing like oh, okay, if you work and you make

857
00:45:22,480 --> 00:45:24,960
Speaker 2: fifteen dollars an hour, like you have no business having

858
00:45:24,960 --> 00:45:26,840
Speaker 2: a kid because you can't afford it, like and that

859
00:45:27,400 --> 00:45:30,799
Speaker 2: it's not it's not like no, well you can't say that,

860
00:45:30,880 --> 00:45:33,960
Speaker 2: Like I don't think I'm articulating my thoughts correctly on

861
00:45:34,000 --> 00:45:34,480
Speaker 2: this one.

862
00:45:35,760 --> 00:45:38,960
Speaker 1: We're like really deep into this conversation by now.

863
00:45:38,920 --> 00:45:43,120
Speaker 2: Well, it's because it's it's it's interesting, it's interesting to

864
00:45:43,200 --> 00:45:43,760
Speaker 2: talk about.

865
00:45:43,880 --> 00:45:46,600
Speaker 1: Like, well, I think it plays into my greater problem

866
00:45:46,640 --> 00:45:49,400
Speaker 1: with people having like kids to check a box. So

867
00:45:49,560 --> 00:45:52,120
Speaker 1: like I would all right, like this is where I'm thinking,

868
00:45:52,200 --> 00:45:56,480
Speaker 1: but I group these people that are that are elderly

869
00:45:56,760 --> 00:45:59,440
Speaker 1: having babies in the same box as people that have

870
00:45:59,600 --> 00:46:01,960
Speaker 1: kids us for like Facebook photos that are under the

871
00:46:02,000 --> 00:46:04,360
Speaker 1: carav a nanny twenty four to seven, Like you're saying,

872
00:46:05,040 --> 00:46:08,080
Speaker 1: like it's just selfish to have kids just to have kids,

873
00:46:08,120 --> 00:46:08,960
Speaker 1: not because like.

874
00:46:09,440 --> 00:46:12,399
Speaker 2: Yeah, well it's just life. You could feel that way

875
00:46:12,440 --> 00:46:14,600
Speaker 2: all you want, but if you really boil it down,

876
00:46:15,040 --> 00:46:17,360
Speaker 2: like a lot of people aren't having kids for the

877
00:46:17,440 --> 00:46:20,480
Speaker 2: right reasons, So I don't think most people are actually

878
00:46:20,560 --> 00:46:23,480
Speaker 2: Like if you sat there and were like this kid

879
00:46:23,600 --> 00:46:27,200
Speaker 2: was born in a situation that like both parents were

880
00:46:27,239 --> 00:46:29,680
Speaker 2: done with their education and they own their house already,

881
00:46:29,719 --> 00:46:31,759
Speaker 2: and their student loans were paid off, and they were

882
00:46:31,800 --> 00:46:34,239
Speaker 2: married and and this, that and the other, and then

883
00:46:34,239 --> 00:46:37,200
Speaker 2: they had this kid that they planned for it. You'd

884
00:46:37,200 --> 00:46:40,120
Speaker 2: be like, that's one percent of the population, Like most

885
00:46:40,120 --> 00:46:42,920
Speaker 2: people are like getting knocked up all over the place.

886
00:46:43,040 --> 00:46:47,680
Speaker 1: Like it's realistic either that, Like that's a thing, you

887
00:46:47,719 --> 00:46:50,120
Speaker 1: know what I mean? Yeah, I'm talking about like people

888
00:46:50,160 --> 00:46:53,560
Speaker 1: that strictly have no interest at all in said child,

889
00:46:53,680 --> 00:46:56,839
Speaker 1: but go ahead pro creating them anyway. Like, well, kids

890
00:46:56,840 --> 00:46:59,359
Speaker 1: are born of all different circumstances, but they end up

891
00:46:59,400 --> 00:47:02,080
Speaker 1: in loving SAIDs. They don't have to have like the

892
00:47:02,160 --> 00:47:04,640
Speaker 1: most ideal situation obviously.

893
00:47:05,480 --> 00:47:10,640
Speaker 2: I think that like in society, like it's most there's

894
00:47:10,680 --> 00:47:13,719
Speaker 2: a lot of pressure to have children, and it takes

895
00:47:13,760 --> 00:47:15,759
Speaker 2: a lot for a person to say, like, you know what,

896
00:47:15,840 --> 00:47:17,799
Speaker 2: I don't really think I like being around kids and

897
00:47:17,800 --> 00:47:19,120
Speaker 2: I don't want to have them. And a lot of

898
00:47:19,120 --> 00:47:22,319
Speaker 2: people get pressure from their family and stuff, and a

899
00:47:22,360 --> 00:47:24,560
Speaker 2: lot of times you think that you're going to have

900
00:47:24,600 --> 00:47:28,279
Speaker 2: a kid. Every person that that is doesn't have a

901
00:47:28,360 --> 00:47:30,239
Speaker 2: kid thinks they're going to be the best person, the

902
00:47:30,280 --> 00:47:32,960
Speaker 2: best parent ever and then you have the kid and

903
00:47:33,000 --> 00:47:36,520
Speaker 2: then you're like, oh, okay, that makes sense. Like this

904
00:47:36,640 --> 00:47:40,120
Speaker 2: is really hard and some people just don't enjoy it,

905
00:47:40,160 --> 00:47:44,759
Speaker 2: and other people think maybe like I lucked out because

906
00:47:44,760 --> 00:47:47,840
Speaker 2: I feel like I don't really enjoy being around other people,

907
00:47:48,040 --> 00:47:50,720
Speaker 2: like around kids a lot. Like if me and Gabe

908
00:47:50,719 --> 00:47:52,480
Speaker 2: go on a date, I don't want to sit anywhere

909
00:47:52,480 --> 00:47:54,600
Speaker 2: near a table that has children, Like I just I

910
00:47:54,680 --> 00:47:56,839
Speaker 2: don't want it. I don't I don't care. I think

911
00:47:56,840 --> 00:47:59,440
Speaker 2: I'm a dickhead whatever, Like I just don't like that.

912
00:47:59,560 --> 00:48:01,680
Speaker 2: I don't want to be around kids like that. I

913
00:48:01,760 --> 00:48:05,239
Speaker 2: do have love for my friends' kids because they're like

914
00:48:05,320 --> 00:48:08,160
Speaker 2: they're almost like cousins to my kids. They're like family

915
00:48:08,200 --> 00:48:10,920
Speaker 2: to me, you know, But like in general, I'm not

916
00:48:11,000 --> 00:48:13,760
Speaker 2: a person that's just like, oh, your kid is so cute,

917
00:48:13,800 --> 00:48:16,640
Speaker 2: Like I just don't really I'm not really attached like that.

918
00:48:17,120 --> 00:48:20,560
Speaker 2: But I mean, for me, like, let's pretend I didn't

919
00:48:20,600 --> 00:48:23,120
Speaker 2: have any kids, I would take the chance and be like, well,

920
00:48:23,160 --> 00:48:25,439
Speaker 2: hopefully I'll love my kids. I know, I don't really

921
00:48:25,520 --> 00:48:28,200
Speaker 2: like kids, but like I might like my I should

922
00:48:28,239 --> 00:48:30,680
Speaker 2: like mine because they're mine, and I do luckily, But

923
00:48:30,800 --> 00:48:33,799
Speaker 2: like sometimes I think people have the kids and they

924
00:48:34,000 --> 00:48:36,000
Speaker 2: they never get that bond. They're just kind of like

925
00:48:36,080 --> 00:48:40,000
Speaker 2: not into it. And you see, like me and Gabe's

926
00:48:40,000 --> 00:48:42,200
Speaker 2: life all the time, it's just like we're kind of

927
00:48:42,280 --> 00:48:44,200
Speaker 2: it's like kids, kids' kids all the time. And some

928
00:48:44,200 --> 00:48:46,759
Speaker 2: people don't want to give up the like going out

929
00:48:46,800 --> 00:48:48,719
Speaker 2: to dinner at nine o'clock and hanging out with their

930
00:48:48,719 --> 00:48:51,879
Speaker 2: friends on the beach and this and that. Like so

931
00:48:51,880 --> 00:48:56,160
Speaker 2: so people like resent their kids them when they have them. Yeah,

932
00:48:56,200 --> 00:48:58,960
Speaker 2: I think I'm ultra is the biggest This is like

933
00:48:59,000 --> 00:48:59,879
Speaker 2: the biggest rant.

934
00:49:00,440 --> 00:49:02,919
Speaker 1: I know. I'm just gonna say, like, I think I'm

935
00:49:02,960 --> 00:49:05,640
Speaker 1: just so ultra sensitive to this because of writing up

936
00:49:05,680 --> 00:49:08,000
Speaker 1: a Ruby Frank for the last two weeks and just

937
00:49:08,040 --> 00:49:10,719
Speaker 1: being like, I don't think she had kids for the

938
00:49:10,760 --> 00:49:13,920
Speaker 1: purpose of having a YouTube channel. But then we see,

939
00:49:14,360 --> 00:49:17,840
Speaker 1: you know that other chick that adopted that Huxley child

940
00:49:17,960 --> 00:49:21,320
Speaker 1: for content specifically, and you're just like, what are you doing?

941
00:49:22,080 --> 00:49:24,960
Speaker 2: It's just so Yeah, that's interesting with the with the

942
00:49:25,000 --> 00:49:29,560
Speaker 2: family content creators because it seems like the fame of

943
00:49:29,640 --> 00:49:31,439
Speaker 2: all of it just kind of goes through their head

944
00:49:31,440 --> 00:49:33,960
Speaker 2: a little bit. And I really think when you even

945
00:49:34,040 --> 00:49:36,359
Speaker 2: hear about the Ruby Frank story, Like when you hear

946
00:49:36,400 --> 00:49:39,440
Speaker 2: about the beginning of their life, it seemed like it

947
00:49:39,520 --> 00:49:42,400
Speaker 2: probably was something that she wanted and was into. And

948
00:49:42,440 --> 00:49:46,040
Speaker 2: then as soon as she started getting famous and like

949
00:49:46,080 --> 00:49:48,799
Speaker 2: all this weird stuff happened with meeting that person and

950
00:49:48,840 --> 00:49:51,920
Speaker 2: this and that, like it just like whatever tendency she

951
00:49:52,080 --> 00:49:54,880
Speaker 2: had to be like a meaner sterner mom turned into

952
00:49:54,920 --> 00:50:00,600
Speaker 2: something super pathologic. And you see that sometimes in I mean,

953
00:50:00,640 --> 00:50:02,640
Speaker 2: we have a couple of cases like that with these

954
00:50:02,680 --> 00:50:03,920
Speaker 2: family vlog people.

955
00:50:04,480 --> 00:50:07,479
Speaker 1: Yeah, well I don't know if that rant was worth

956
00:50:07,560 --> 00:50:10,480
Speaker 1: going on, and it probably didn't make sense to our listeners,

957
00:50:10,600 --> 00:50:15,520
Speaker 1: but it happens now that yeah exactly what.

958
00:50:15,600 --> 00:50:18,439
Speaker 2: Well, No, I think it'll make sense. I think it'll

959
00:50:18,440 --> 00:50:21,400
Speaker 2: make sense to people because the first instinct you always

960
00:50:21,480 --> 00:50:24,520
Speaker 2: have is like they people shouldn't do that, but like

961
00:50:25,040 --> 00:50:27,279
Speaker 2: it's just it's it's just like not fair to be

962
00:50:27,440 --> 00:50:27,719
Speaker 2: like that.

963
00:50:28,360 --> 00:50:30,840
Speaker 1: No, And I guess that's what you could judge.

964
00:50:30,880 --> 00:50:34,200
Speaker 2: You could judge just I don't mind judging people. It's

965
00:50:34,239 --> 00:50:37,200
Speaker 2: more like when you then we know you don't mind

966
00:50:37,280 --> 00:50:41,279
Speaker 2: judging people, but but like I judge people, but I

967
00:50:41,320 --> 00:50:45,800
Speaker 2: would never like say, oh, there should be laws against

968
00:50:46,000 --> 00:50:48,400
Speaker 2: like like people could do whatever they want to do.

969
00:50:48,480 --> 00:50:51,040
Speaker 2: I'm against a lot of things people do, but but

970
00:50:51,160 --> 00:50:53,239
Speaker 2: I feel like they should have that right to do it.

971
00:50:53,480 --> 00:50:56,160
Speaker 1: Exactly. I'm in the mindset of do whatever you want.

972
00:50:56,200 --> 00:50:58,040
Speaker 1: But like, I'm not going to go to Congress and

973
00:50:58,080 --> 00:51:00,319
Speaker 1: be like, you need to put this like a on

974
00:51:00,400 --> 00:51:02,520
Speaker 1: people that have children, like that's ridiculous.

975
00:51:02,520 --> 00:51:03,880
Speaker 2: But I'm not gonna sit.

976
00:51:03,719 --> 00:51:06,120
Speaker 1: Here and act like it isn't strange to me.

977
00:51:06,760 --> 00:51:08,080
Speaker 2: But all right, I.

978
00:51:08,000 --> 00:51:10,440
Speaker 1: Guess we should move on to the questions now, because

979
00:51:10,520 --> 00:51:13,719
Speaker 1: we just went on like a fifteen minute rant about nonsense.

980
00:51:14,200 --> 00:51:16,160
Speaker 1: All right, Every Friday at the ap mother knows that

981
00:51:16,280 --> 00:51:18,279
Speaker 1: the Instagram account, you guys can head over to our

982
00:51:18,320 --> 00:51:21,319
Speaker 1: story and ask us whatever you want. First questions from

983
00:51:21,560 --> 00:51:23,080
Speaker 1: friend of the pod lar Lee.

984
00:51:23,960 --> 00:51:26,839
Speaker 2: I knew this question was from her. I knew it.

985
00:51:27,000 --> 00:51:27,520
Speaker 2: I knew it.

986
00:51:28,280 --> 00:51:31,040
Speaker 1: She said, how many car accidents are caused because of

987
00:51:31,120 --> 00:51:34,640
Speaker 1: those stupid road signs with the witty sayings, Oh my God,

988
00:51:34,840 --> 00:51:37,120
Speaker 1: Explain this to people that don't live in New Jersey,

989
00:51:37,120 --> 00:51:39,560
Speaker 1: because I don't know if this happens everywhere it does happen.

990
00:51:39,640 --> 00:51:41,920
Speaker 2: I feel like I saw it on my trip, maybe

991
00:51:41,920 --> 00:51:46,920
Speaker 2: in Ohio, so there, so New Jersey put forth this campaign,

992
00:51:47,040 --> 00:51:50,760
Speaker 2: which just drives me freaking crazy because, like, my tax

993
00:51:50,800 --> 00:51:54,759
Speaker 2: dollars are being spent on this that they put up.

994
00:51:54,800 --> 00:51:57,040
Speaker 2: You know those signs that they put that say the

995
00:51:57,239 --> 00:52:00,799
Speaker 2: electric signs that'll say like road closed or right or

996
00:52:00,840 --> 00:52:04,160
Speaker 2: something like that. It'll it's one of those signs. And

997
00:52:04,200 --> 00:52:07,840
Speaker 2: now they put these sayings on them to try to

998
00:52:07,880 --> 00:52:10,680
Speaker 2: get people to like not drink and drive, or to

999
00:52:10,719 --> 00:52:13,120
Speaker 2: put their seap out on or to not text and drive.

1000
00:52:13,560 --> 00:52:16,279
Speaker 2: There's all these messages they put on it. And I

1001
00:52:16,320 --> 00:52:19,160
Speaker 2: guess the thing that really makes me the most mad

1002
00:52:19,200 --> 00:52:21,640
Speaker 2: of it is that, you know, you think about all

1003
00:52:21,680 --> 00:52:24,440
Speaker 2: of these people in Congress and stuff like sitting around

1004
00:52:24,480 --> 00:52:27,759
Speaker 2: and making this law, and just how much money these

1005
00:52:28,000 --> 00:52:32,000
Speaker 2: this campaign actually costs. And the worst part is that

1006
00:52:32,160 --> 00:52:36,600
Speaker 2: the signs are terrible. They're just they're not funny, they're terrible.

1007
00:52:36,760 --> 00:52:38,319
Speaker 2: I wish I had an example of one.

1008
00:52:38,360 --> 00:52:40,759
Speaker 1: Now I have an example of my favorite one that

1009
00:52:40,840 --> 00:52:43,560
Speaker 1: was circulating a couple months ago. Are you ready for it? Yeah,

1010
00:52:43,719 --> 00:52:47,839
Speaker 1: it's from California. Do not touch your partner's private part

1011
00:52:47,920 --> 00:52:49,480
Speaker 1: well he or she is driving?

1012
00:52:50,800 --> 00:52:52,319
Speaker 2: Is that real?

1013
00:52:52,480 --> 00:52:53,440
Speaker 1: I think so?

1014
00:52:53,440 --> 00:52:58,040
Speaker 2: So ours? Like ours? That's possible that that would say,

1015
00:52:58,160 --> 00:53:00,799
Speaker 2: I don't think that that's real. It doesn't sound real

1016
00:53:00,840 --> 00:53:03,400
Speaker 2: because a child could read that and that's not appropriate.

1017
00:53:03,960 --> 00:53:07,640
Speaker 2: But I probably could look through my test. Here's some

1018
00:53:07,880 --> 00:53:09,040
Speaker 2: I'm looking right now.

1019
00:53:09,120 --> 00:53:13,600
Speaker 3: So they're like they're usually like like they make ones

1020
00:53:13,640 --> 00:53:16,319
Speaker 3: that are applicable to the shore because we live near

1021
00:53:16,440 --> 00:53:20,279
Speaker 3: the shore, and it'll just and they rhyme and they're

1022
00:53:20,320 --> 00:53:23,239
Speaker 3: just terrible, and you're like, they can't find any like

1023
00:53:23,320 --> 00:53:23,840
Speaker 3: I want.

1024
00:53:23,640 --> 00:53:25,400
Speaker 2: To sit down and write them and send them in,

1025
00:53:25,440 --> 00:53:28,160
Speaker 2: like a bunch of wittier things that would be quirky

1026
00:53:28,200 --> 00:53:28,720
Speaker 2: and funny.

1027
00:53:29,360 --> 00:53:33,560
Speaker 1: All right, ready, no, no, Valentine, your seatbelt will hold you.

1028
00:53:34,800 --> 00:53:37,560
Speaker 2: Yes, that is one I saw. There was one for

1029
00:53:38,040 --> 00:53:40,560
Speaker 2: there's one for Saint Patrick's Day. And there's definitely like

1030
00:53:40,640 --> 00:53:43,799
Speaker 2: shore related ones about like there was something about a

1031
00:53:43,880 --> 00:53:45,719
Speaker 2: shark bite or something. I don't even know.

1032
00:53:45,960 --> 00:53:49,120
Speaker 1: Only Rudolph should be lit, drive high, get DUI.

1033
00:53:49,480 --> 00:53:53,680
Speaker 2: Yeah, just they're so dumb. So yes, Lara, So me

1034
00:53:53,719 --> 00:53:58,960
Speaker 2: and Laura are constantly talking about those signs. So when

1035
00:53:59,000 --> 00:54:01,080
Speaker 2: I read that, I was like, either she sent this

1036
00:54:01,160 --> 00:54:03,560
Speaker 2: question in or I'm gonna call her right after this

1037
00:54:03,600 --> 00:54:06,120
Speaker 2: and be like, dude, someone else hates this too.

1038
00:54:06,160 --> 00:54:08,919
Speaker 1: I've never it's just so bad and like with chat

1039
00:54:08,960 --> 00:54:12,400
Speaker 1: GBT existing, like you really can't come up with better ones.

1040
00:54:12,600 --> 00:54:17,160
Speaker 2: There was one. There was one with the Grinch.

1041
00:54:18,600 --> 00:54:20,800
Speaker 1: At Christmas Tamer.

1042
00:54:20,920 --> 00:54:22,680
Speaker 2: I probably have them because I feel like me and

1043
00:54:22,719 --> 00:54:24,680
Speaker 2: Laura sent them to each other. But they were Yeah,

1044
00:54:24,719 --> 00:54:28,799
Speaker 2: they were terrible, and like I'm sure there was there was.

1045
00:54:29,040 --> 00:54:33,920
Speaker 2: They have another campaign going on too, about like texting

1046
00:54:33,960 --> 00:54:37,160
Speaker 2: and driving and motorcyclists on the streets and not hitting them.

1047
00:54:37,239 --> 00:54:40,439
Speaker 2: And it's like you hear these commercials all the time

1048
00:54:40,480 --> 00:54:43,319
Speaker 2: and they're like, what if you didn't text it and

1049
00:54:43,360 --> 00:54:45,840
Speaker 2: you didn't hit the person, you would change their life.

1050
00:54:46,239 --> 00:54:48,759
Speaker 2: Now this message has been life changing, You're like, no,

1051
00:54:48,920 --> 00:54:52,160
Speaker 2: it hasn't. Actually, nobody is listening, like this is terrible.

1052
00:54:52,239 --> 00:54:54,480
Speaker 2: This is the only thing that it's just I don't

1053
00:54:54,560 --> 00:54:55,680
Speaker 2: I just don't understand.

1054
00:54:56,080 --> 00:54:59,200
Speaker 1: Remember in Barrington there was that lumber place. It's like

1055
00:54:59,239 --> 00:54:59,760
Speaker 1: a brewery.

1056
00:54:59,800 --> 00:55:03,120
Speaker 2: Now, yeah, that dude should write them because he's hilarious.

1057
00:55:03,200 --> 00:55:05,800
Speaker 1: Wait, I have two of them from twenty sixteen.

1058
00:55:06,000 --> 00:55:09,320
Speaker 2: So this was like a random like lumber place, family

1059
00:55:09,360 --> 00:55:12,360
Speaker 2: owned place though, and he used to write hilarious things.

1060
00:55:13,120 --> 00:55:15,680
Speaker 2: It would just be like, well I saw one on

1061
00:55:15,719 --> 00:55:18,479
Speaker 2: a church once that was just like if you give

1062
00:55:18,840 --> 00:55:22,160
Speaker 2: Satan an inch, he'll become a ruler. Oh my god,

1063
00:55:23,560 --> 00:55:26,359
Speaker 2: like things like that, like a local church. But I

1064
00:55:26,480 --> 00:55:28,160
Speaker 2: like guys they're like funny, like.

1065
00:55:28,360 --> 00:55:31,360
Speaker 1: One of him says, ever tried groundhog kind of tastes

1066
00:55:31,400 --> 00:55:35,399
Speaker 1: like hamster like, so random on a sign and then wait,

1067
00:55:35,440 --> 00:55:37,440
Speaker 1: I have a Valentine's Day one too. I just have

1068
00:55:37,520 --> 00:55:40,440
Speaker 1: to find it. But like when we're talking about we

1069
00:55:40,480 --> 00:55:44,040
Speaker 1: don't need witty road signs, we understand, how you know?

1070
00:55:45,200 --> 00:55:48,120
Speaker 2: Yeah, And I feel like, like Lar's point, they probably

1071
00:55:48,160 --> 00:55:52,279
Speaker 2: cause people to like that's the thing with these things

1072
00:55:52,280 --> 00:55:55,000
Speaker 2: that they put forth, there's no metrics to determine if

1073
00:55:55,000 --> 00:55:56,400
Speaker 2: they're actually doing anything.

1074
00:55:56,560 --> 00:56:00,040
Speaker 1: All right, So his Valentine's one says, be our Valentine.

1075
00:55:59,520 --> 00:56:03,399
Speaker 2: We have hardwood. Yeah, that one was good.

1076
00:56:03,760 --> 00:56:06,160
Speaker 1: Yeah, But the ones around here, they're just they're so

1077
00:56:06,440 --> 00:56:09,000
Speaker 1: bad that they're funny. And I don't know if that's

1078
00:56:09,040 --> 00:56:11,600
Speaker 1: their goal, but I don't. I would say they probably

1079
00:56:11,600 --> 00:56:12,760
Speaker 1: aren't causing car actent.

1080
00:56:13,080 --> 00:56:15,120
Speaker 2: I just the reason I get mad is because like

1081
00:56:15,200 --> 00:56:18,600
Speaker 2: I just picture like corporate meetings and like some woman

1082
00:56:18,680 --> 00:56:21,440
Speaker 2: in a business woman special with or like high heels

1083
00:56:21,440 --> 00:56:23,560
Speaker 2: that you know, the type that carry their sneakers to

1084
00:56:23,600 --> 00:56:26,280
Speaker 2: work with them and stuff, and like just walking around

1085
00:56:26,280 --> 00:56:29,440
Speaker 2: and be like, Okay, guys, like around this big mahogany desk.

1086
00:56:29,840 --> 00:56:33,200
Speaker 2: I mean, anytime I see this one, anytime I see

1087
00:56:33,200 --> 00:56:36,319
Speaker 2: a bad commercial or billboard or something like that, I'll

1088
00:56:36,360 --> 00:56:38,240
Speaker 2: say to Ricky like, do you know how many people

1089
00:56:38,280 --> 00:56:42,680
Speaker 2: had to approve this? It is true? It's ridiculous, all right.

1090
00:56:42,760 --> 00:56:45,719
Speaker 1: Second question, when doing an autopsy, can you tell if

1091
00:56:45,719 --> 00:56:49,640
Speaker 1: somebody has broken bones if they have healed? Yeah, So

1092
00:56:50,000 --> 00:56:53,760
Speaker 1: when we do an autopsy, we don't typically examine bones

1093
00:56:53,800 --> 00:56:56,120
Speaker 1: to the point where we would be able to see that,

1094
00:56:56,400 --> 00:56:59,759
Speaker 1: except maybe when we open the abdominal cavity. We could

1095
00:56:59,800 --> 00:57:03,239
Speaker 1: really see the spine pretty well and the ribs, So

1096
00:57:03,480 --> 00:57:06,040
Speaker 1: if someone had a broken rib previously, we could see

1097
00:57:06,080 --> 00:57:08,920
Speaker 1: evidence of that for sure. If you're talking about a

1098
00:57:09,000 --> 00:57:11,040
Speaker 1: leg or something like that, that would be a little

1099
00:57:11,040 --> 00:57:15,919
Speaker 1: bit more iffy because we don't typically dissect the tissue

1100
00:57:15,960 --> 00:57:18,760
Speaker 1: off off of long bones like the legs or the

1101
00:57:18,880 --> 00:57:23,680
Speaker 1: arms like that, so we wouldn't see it grossly unless,

1102
00:57:23,720 --> 00:57:27,640
Speaker 1: of course, let's say, for example, someone found human bones

1103
00:57:27,640 --> 00:57:29,440
Speaker 1: in a wood in the woods, they would get a

1104
00:57:29,480 --> 00:57:32,560
Speaker 1: forensic anthropologist to look at the bones, and that those

1105
00:57:33,120 --> 00:57:35,760
Speaker 1: scientists for sure would be able to look at the

1106
00:57:35,760 --> 00:57:38,840
Speaker 1: bones and be able to determine if there was previously

1107
00:57:39,040 --> 00:57:42,680
Speaker 1: healed fractures, but like we wouldn't actually be looking at

1108
00:57:42,760 --> 00:57:46,800
Speaker 1: them for our purposes. And then obviously though, like we

1109
00:57:46,920 --> 00:57:49,640
Speaker 1: have access to x ray at autopsy, so if we

1110
00:57:49,720 --> 00:57:52,240
Speaker 1: put someone, if we x rayed someone, we would be

1111
00:57:52,320 --> 00:57:55,040
Speaker 1: able to determine if they had a previous broken bone,

1112
00:57:55,680 --> 00:58:01,080
Speaker 1: just because when a bone breaks, and this just depends,

1113
00:58:01,120 --> 00:58:03,680
Speaker 1: like especially in abuse cases and stuff, because sometimes like

1114
00:58:03,760 --> 00:58:06,840
Speaker 1: kids will get abused and then the parents or the

1115
00:58:06,840 --> 00:58:09,360
Speaker 1: people that are abusing them don't take them to the hospital,

1116
00:58:09,720 --> 00:58:12,760
Speaker 1: so their bones don't heal properly like you would if

1117
00:58:12,800 --> 00:58:15,720
Speaker 1: you went and got a cast put on. So it

1118
00:58:15,800 --> 00:58:19,080
Speaker 1: has very specific looks to the bones or any people.

1119
00:58:19,120 --> 00:58:21,800
Speaker 1: If sometimes people break a rib and they don't really

1120
00:58:21,840 --> 00:58:23,840
Speaker 1: realize it or something like that just has like a

1121
00:58:23,880 --> 00:58:28,320
Speaker 1: different appearance. So yeah, in that case, if we image

1122
00:58:28,320 --> 00:58:30,439
Speaker 1: the body, we would be able to see it as well.

1123
00:58:31,400 --> 00:58:34,040
Speaker 1: All right, last, what lunch do you typically have on

1124
00:58:34,120 --> 00:58:34,760
Speaker 1: a workday?

1125
00:58:36,280 --> 00:58:38,880
Speaker 2: Like when we're recording, I just I just housed like

1126
00:58:40,280 --> 00:58:43,760
Speaker 2: fifty seedless peppers and I'm about to go eat goat

1127
00:58:43,840 --> 00:58:48,440
Speaker 2: cheese in a bowl. Well, yesterday we have nothing goods yesterday,

1128
00:58:48,440 --> 00:58:51,640
Speaker 2: Well yesterday wasn't really considered a workday, no, but we

1129
00:58:51,680 --> 00:58:52,200
Speaker 2: had craped y.

1130
00:58:52,280 --> 00:58:52,480
Speaker 1: Yeah.

1131
00:58:52,520 --> 00:58:54,920
Speaker 2: But when we're sitting here, I just like I just

1132
00:58:55,000 --> 00:58:58,040
Speaker 2: eat like little things. But we like, I cook dinner

1133
00:58:58,080 --> 00:59:00,000
Speaker 2: almost every night, and we have a pretty big dinner

1134
00:59:00,200 --> 00:59:03,240
Speaker 2: every night. So I just try to kind of like

1135
00:59:03,600 --> 00:59:07,240
Speaker 2: snack on things throughout the day, you know, coffee, little

1136
00:59:07,280 --> 00:59:09,560
Speaker 2: things here and there, and then at dinner all like

1137
00:59:09,880 --> 00:59:13,760
Speaker 2: house a lot of food. So I just like, we

1138
00:59:13,800 --> 00:59:16,480
Speaker 2: don't really have time when we're recording and stuff, but

1139
00:59:16,600 --> 00:59:18,919
Speaker 2: a few minutes to just like inhance something real quick.

1140
00:59:19,240 --> 00:59:22,400
Speaker 1: Yeah, Like I'll usually just have leftovers or if I

1141
00:59:22,400 --> 00:59:24,680
Speaker 1: have something in the freezer, I could just pop in

1142
00:59:24,720 --> 00:59:28,000
Speaker 1: the air fryer real quick, or on a desperate day,

1143
00:59:28,080 --> 00:59:31,240
Speaker 1: just a bowl of cereal or like toast, and then

1144
00:59:31,240 --> 00:59:32,280
Speaker 1: I'll just cook dinner early.

1145
00:59:32,360 --> 00:59:34,680
Speaker 2: Well, I forgot I got those things that I got

1146
00:59:34,680 --> 00:59:38,440
Speaker 2: a box for myself at Trader Joe's, those coconut ball things.

1147
00:59:38,800 --> 00:59:40,720
Speaker 2: I wanted to try them, but I don't want to

1148
00:59:40,760 --> 00:59:43,840
Speaker 2: hear it. I don't want to hear it. They're delicious Okay,

1149
00:59:44,200 --> 00:59:47,120
Speaker 2: that's all I want to say. Maria's husband says they

1150
00:59:47,280 --> 00:59:49,280
Speaker 2: they taste or smell like, so I just don't even

1151
00:59:49,320 --> 00:59:50,600
Speaker 2: want to think about it because I'm not going to

1152
00:59:50,640 --> 00:59:51,360
Speaker 2: want to eat it now.

1153
00:59:51,560 --> 00:59:53,640
Speaker 1: I'm not saying that on here because I think they're

1154
00:59:53,640 --> 00:59:56,840
Speaker 1: delicious and here being ridiculous. All right, guys, well, thank

1155
00:59:56,880 --> 00:59:59,200
Speaker 1: you so much. Please leave us a five star written

1156
00:59:59,240 --> 01:00:01,720
Speaker 1: review on and if you have a story for us,

1157
01:00:01,760 --> 01:00:05,040
Speaker 1: please submit it to stories at Motheranosdeath dot com.

1158
01:00:05,640 --> 01:00:12,840
Speaker 2: Saya, thank you for listening to Mother NOO's Death. As

1159
01:00:12,880 --> 01:00:17,200
Speaker 2: a reminder, my training is as a pathologist's assistant. I

1160
01:00:17,240 --> 01:00:20,680
Speaker 2: have a master's level education and specialize in anatomy and

1161
01:00:20,720 --> 01:00:24,320
Speaker 2: pathology education. I am not a doctor and I have

1162
01:00:24,400 --> 01:00:28,160
Speaker 2: not diagnosed or treated anyone dead or alive without the

1163
01:00:28,200 --> 01:00:33,480
Speaker 2: assistance of a licensed medical doctor. This show, my website,

1164
01:00:33,560 --> 01:00:36,920
Speaker 2: and social media accounts are designed to educate and inform

1165
01:00:37,000 --> 01:00:41,240
Speaker 2: people based on my experience working in pathology, so they

1166
01:00:41,240 --> 01:00:44,680
Speaker 2: can make healthier decisions regarding their life and well being.

1167
01:00:45,800 --> 01:00:48,680
Speaker 2: Always remember that science is changing every day and the

1168
01:00:48,720 --> 01:00:52,000
Speaker 2: opinions expressed in this episode are based on my knowledge

1169
01:00:52,040 --> 01:00:55,680
Speaker 2: of those subjects at the time of publication. If you

1170
01:00:55,720 --> 01:00:59,720
Speaker 2: are having a medical problem, have a medical question, or

1171
01:00:59,760 --> 01:01:04,040
Speaker 2: have a medical emergency. Please contact your physician or visit

1172
01:01:04,080 --> 01:01:09,400
Speaker 2: an urgent care center, emergency room, or hospital. Please rate, review,

1173
01:01:09,520 --> 01:01:13,920
Speaker 2: and subscribe to Mother Knows Death on Apple, Spotify, YouTube,

1174
01:01:14,160 --> 01:01:15,880
Speaker 2: or anywhere you get podcasts.

1175
01:01:16,200 --> 01:01:22,160
Speaker 1: Thanks