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

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Speaker 1: Everyone welcome The Mother Knows Death. On today's episode, we're

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Speaker 1: going to have some updates on some recent celebrity deaths

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Speaker 1: that we talked about on Mother Knows Death and a

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Speaker 1: couple new celebrity deaths that happened this week. Of course,

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Speaker 1: we have to discuss Casey Anthony's TikTok, someone pooping their

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Speaker 1: pants on a date, a teen without a vagina getting pregnant,

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Speaker 1: and middle schoolers who are tattooing each other. But let's

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Speaker 1: get started with the celebrity news.

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Speaker 2: As usual, just the most unusual stories of all time.

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Speaker 2: All right, So last week we talked about actress Michelle

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Speaker 2: Trachtenberg's death. She was thirty nine years old, and as

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Speaker 2: a reminder, she was found unresponsive in her bed by

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Speaker 2: her mother, and she had a history of a life transplant.

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Speaker 2: So I guess now people are really confused because her

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Speaker 2: cause of death was listed as undetermined and her family

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Speaker 2: refused an autopsy. So how does that work? Exactly? All right?

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Speaker 1: So normally, if you die in the hospital, then you

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Speaker 1: don't ever have to get an autopsy unless you want

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Speaker 1: to get one, and then you would just ask the hospital, hey,

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Speaker 1: could you do an autopsy. I'm not sure of the

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Speaker 1: cause of death. But in the case when the medical

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Speaker 1: examiner gets involved, it's a little bit different because the

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Speaker 1: medical examiner, they work for the legal system and they're

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Speaker 1: trying to determine if people were murdered or how they died,

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Speaker 1: so they have jurisdiction over a person's body when it

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Speaker 1: goes there, and then ultimately they can make the decision.

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Speaker 1: A lot of times when they're going to do an autopsy,

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Speaker 1: people have objections, whether it's for personal reasons or they

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Speaker 1: don't want to delay a burial, or usually it's for

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Speaker 1: religious reasons. In this case, it could be for more

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Speaker 1: multiple reasons because she's famous, right high profile person. Medical

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Speaker 1: examiner reports or public records, so people would be able

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Speaker 1: to find out information that possibly her family doesn't want

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Speaker 1: to get out about her medical history, such as we

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Speaker 1: were talking about specific reasons that she may have had

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Speaker 1: deliver transplant and it could have been due to hepestitis

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Speaker 1: cea infection, it could have been due to alcoholism. If

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Speaker 1: that was the case, that might be something that her

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Speaker 1: family might be embarrassed by not embarrassed by but just

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Speaker 1: not want it out there like that. And another reason

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Speaker 1: is that both of her parents are Jewish, so they

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Speaker 1: might object the autopsy as well. So in those cases,

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Speaker 1: the medical examiner will look at all of the circumstances

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Speaker 1: surrounding the case and then they will make the determination

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Speaker 1: if they're going to do the autopsy or not.

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Speaker 2: Okay, Yeah, I was wondering that about the Jewish culture too,

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Speaker 2: because I know that in their faith they typically want

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Speaker 2: to try to bury the body within a twenty four

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Speaker 2: hour period, so I was interested if that was a

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Speaker 2: reason for their refusal.

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Speaker 1: So they have an and listen, I'm no expert of

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Speaker 1: Judaism by any means, but I just know this from

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Speaker 1: working in the field as long as i've been that

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Speaker 1: they have pretty strict rules to not desecrate the body

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Speaker 1: after it's dead. And they say if pieces of the

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Speaker 1: body need to be removed, especially at an autopsy, like

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Speaker 1: let's say, for example, we take out the brain and

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Speaker 1: we need to look at it two weeks later with

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Speaker 1: a neuropathologist, they they act like the body's not even

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Speaker 1: getting buried at all, if it's not buried in whole.

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Speaker 1: And this is actually a really interesting fact because when

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Speaker 1: Gabe went to the condo collapse in Miami a few

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Speaker 1: years ago, there was a lot of Jewish people there,

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Speaker 1: and they were very specific on collecting all of the

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Speaker 1: human remains for each person and keeping them together, because

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Speaker 1: that's very much in line with their religion. Now, they

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Speaker 1: do have some exceptions for autopsies if they believe so.

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Speaker 1: For example, I guess organ donation would fall under this too.

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Speaker 1: If they believe for whatever reason that the autopsy needs

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Speaker 1: to be done or I guess organ donation, and that

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Speaker 1: circumstance needs to be done in order to save someone's life,

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Speaker 1: whether it's helping with treatments or actually helping a person

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Speaker 1: that's alive live, then they kind of are okay with

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Speaker 1: bending the rules a little bit in that circumstance. But

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Speaker 1: we so if they ask the medical examiner, please don't

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Speaker 1: do this autopsy, and the medical examiner is pretty certain

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Speaker 1: that she wasn't murdered, then they'll say, okay, we're going

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Speaker 1: to do an external exam. So they're going to look

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Speaker 1: at her body and they're going to go over everything

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Speaker 1: and know anything and see if anything is out of place.

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Speaker 1: Everything that they could do without actually cutting her body open.

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Speaker 1: If they were suspicious that it was a homicide, then

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Speaker 1: the medical examine or could say basically, I don't care

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Speaker 1: what your religion is, we're cutting her open. They could

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Speaker 1: override your requests. We do do an autopsy that's very

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Speaker 1: in line with their beliefs of getting buried in hold

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Speaker 1: because typically when we do an autopsy, we take all

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Speaker 1: the organs out and we keep lots of pieces of

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Speaker 1: them in jars, so we could go back to it

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Speaker 1: if we have to after the body's gone. But there

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Speaker 1: is an autopsy technique that we do that's called the

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Speaker 1: Rokatanski and that is when we open the body and

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Speaker 1: we do what's called an insight to autopsy. So we

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Speaker 1: open it and we just look at all the organs

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Speaker 1: and poke around, but we keep everything in place, sew

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Speaker 1: them up and send them back. But again, like you

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Speaker 1: were saying earlier, that has a lot to do with

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Speaker 1: them getting buried as fast as possible, and sometimes that's

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Speaker 1: just not possible to do an autopsy and get the

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Speaker 1: body out in a couple hours.

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Speaker 2: So in a typical autopsy, when you guys are cutting

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Speaker 2: out the organs, in a normal case where you would

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Speaker 2: cut out the or do you put them back in

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Speaker 2: the body in bags if the family wants all the

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Speaker 2: piece or do you like, how did you put them

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Speaker 2: back in?

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Speaker 1: Yeah, I mean we'll use a biohazard bag or even

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Speaker 1: a viscera bag as it's called. It's just essentially a

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Speaker 1: plastic trash bag, and we put all the organs in there,

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Speaker 1: and then we put them back inside the body and

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Speaker 1: sew them up and send them back to the funeral director. Now,

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Speaker 1: sometimes we like I said earlier, when if you have

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Speaker 1: a person that has died from something and their brain

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Speaker 1: needs to be examined, sometimes we keep the brain because

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Speaker 1: we have to fix it in formaldehyde, a formaldehyde mixture

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Speaker 1: which is stronger than the normal formal and we use

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Speaker 1: for organs, and it could take a longer time to

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Speaker 1: firm up the brain, and we want it to get

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Speaker 1: harder because normally the brain is the consistency of like

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Speaker 1: not even jello, like a very soft jello, and we

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Speaker 1: want to make it firmer. So when we cut the slices,

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Speaker 1: it's very very smooth slices. So we could look at

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Speaker 1: the anatomy and also you want a special pathologist to

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Speaker 1: look at that. That's called a neuropathologist, and they specialized

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Speaker 1: in brain pathology. So oftentimes maybe a neuropathologist can't look

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Speaker 1: at the brain for a week or two, and so

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Speaker 1: we keep it. It never goes back to the person

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Speaker 1: that goes to the funeral home. Ever, we'll keep it

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Speaker 1: a couple months and then we'll throw it out with

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Speaker 1: the with the medical waste after a couple of months.

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Speaker 1: But so there are possible there are circumstances where people

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Speaker 1: aren't buried with one hundred percent of their organs after

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Speaker 1: an autopsy, but we can accommodate it in most cases.

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Speaker 2: Yeah, I think that. You know, a lot of times

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Speaker 2: these news outlets are reporting on these things, and when

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Speaker 2: I was reading this, I think they did a decent

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Speaker 2: job at explaining it. But hearing it from you a

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Speaker 2: medical professional is like easier to digest something about the

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Speaker 2: way they explain their protocol after a person dies. They're

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Speaker 2: always trying to make it seem suspicious, right in every case,

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Speaker 2: it's not super suspicious.

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Speaker 1: To their defense, they don't know what they're talking about,

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Speaker 1: so they're just looking stuff up or hearing something and

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Speaker 1: repeating it and it doesn't translate right because they're not

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Speaker 1: making sense of it, and it sucks because after we

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Speaker 1: recorded on Thursday, it was hours later I hear, oh,

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Speaker 1: her manner of death is going to be or her

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Speaker 1: cause of death. I'm not sure if it was manner

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Speaker 1: or cause, but undetermined. So oftentimes too, let's person and

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Speaker 1: I've run across the situation, and sometimes a person's found

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Speaker 1: dead at home, they're sixty years old, they don't really

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Speaker 1: know why they died, but on the external exam we

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Speaker 1: see that they have like a sternal scar right, and

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Speaker 1: that would indicate, okay, this person's had open heart surgery.

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Speaker 1: At some point, the investigators get the information from their

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Speaker 1: physician and they call their physician and say, hey, you're

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Speaker 1: a patient that's sixty some years old just died. Is

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Speaker 1: there a reason that he should be dead right now?

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Speaker 1: And the doctor might say, yeah, you know, he was

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Speaker 1: having heart failure and we tried this, and we tried that,

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Speaker 1: and it's just like he never really got better. And

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Speaker 1: they'll say, well, you signed the death certificate. And then

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Speaker 1: the doctor will say, yeah, I'll sign the death certificate.

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Speaker 1: He had a reason to die. That could have happened

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Speaker 1: in this case too as well.

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Speaker 2: That they could have I mean, if they knew that.

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Speaker 1: She was rejecting the organ or what I mean, she

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Speaker 1: had to be rejecting the organ because they were her

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Speaker 1: neighbors were saying that her eyes were yellow, So clearly

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Speaker 1: she was in liver failure again. Whatever whatever caused it,

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Speaker 1: I'm not sure, but people she was in the hospital.

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Speaker 1: Her friend said, so like somebody knew that was taking

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Speaker 1: care of her that she wasn't doing good, and that

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Speaker 1: person might have just said, I'll sign the certificate. They

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Speaker 1: don't know exactly what was the triggering thing that caused it,

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Speaker 1: but they definitely know that she didn't she wasn't murdered.

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Speaker 1: Another situation, in all honesty, is that is suicide, and

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Speaker 1: that's not a determination to do an autopsy in all

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Speaker 1: circumstances too. They're only doing it to rule out if

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Speaker 1: a person was murdered, so again, that could be something

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Speaker 1: the family doesn't want the public to know as well.

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Speaker 2: Why though, the suicide thing confuses me though, because I

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Speaker 2: just feel like they're not that it's super common, but

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Speaker 2: it's not necessarily rare that a person is murdered or

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Speaker 2: something and then it's set up to look like a suicide.

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Speaker 2: So why wouldn't they do it in a suicide, even

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Speaker 2: if there was obvious signs and a note and everything.

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Speaker 2: They do in.

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Speaker 1: Most circumstances, but like a circumstance like this, you could

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Speaker 1: see why they wouldn't do it.

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Speaker 2: There could be.

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Speaker 1: You know, she had a chronic medical illness. There could

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Speaker 1: be a history of her having depression, suicidal ideations, like,

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Speaker 1: we don't know any of that stuff.

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Speaker 2: Yeah, her mom.

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Speaker 1: Her mom might not be shocked and it might not

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Speaker 1: even be a medical thing. She might have just been like,

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Speaker 1: fuck this, I'm not doing this anymore. And like with

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Speaker 1: all of this history and the way she was found

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Speaker 1: and her high profile status and her religion, it's a

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Speaker 1: case by case basis.

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Speaker 2: Okay, all right, well let's move on to the next

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Speaker 2: two celebrity death updates we have. So first we have

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Speaker 2: Gene Hackman. Of course, again, right after we recorded, way

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Speaker 2: more information came out, Like truly, I think we hit

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Speaker 2: stop record and then I was flooded with messages about

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Speaker 2: new stuff. Right, so people had thought it was carbon

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Speaker 2: monoxide poisoning, but it ended up not playing out that way.

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Speaker 2: So what are the leading theories now? I think you

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Speaker 2: were pretty on the ball with it.

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Speaker 1: Yeah, So we when we spoke last the carbon monoxide.

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Speaker 1: We already knew that that was ruled out because the

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Speaker 1: firefighters said that there was no carbon monoxide reading, although

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Speaker 1: I believe the next day or the day after, the

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Speaker 1: blood work showed that there was no carbon monoxide. So

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Speaker 1: that's been one hundred percent rolled out. What was new

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Speaker 1: that we didn't hear last week? So we were talking

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Speaker 1: about how long she was there, and you were saying

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Speaker 1: that they said she they were there at least one day. Well,

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Speaker 1: now we found out several things. Number one because I

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Speaker 1: remember texting you right after this came out and them

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Speaker 1: saying something about her body being bloated with signs of

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Speaker 1: mummification and his looking similar.

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Speaker 2: Yeah, so yeah, we were originally recording, I had read

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Speaker 2: that they were there at least a day. So in

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Speaker 2: my mind, I'm reading that as you know, they think

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Speaker 2: it happened within the last day or two, not that

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Speaker 2: somebody's mummified and his pacemaker has data that goes back

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Speaker 2: like what nine days or.

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Speaker 1: February seventeenth was the last time it was read. So

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Speaker 1: so yeah, I texted Maria and was just like, where

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Speaker 1: did you read one day? Because they were mummified and

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Speaker 1: there's no way that that happened in one day, and

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Speaker 1: you know, so then we start learning other things. So

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Speaker 1: let's talk about a pacemaker for a little bit. So

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Speaker 1: do you know anything about those?

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Speaker 2: I generally know it's something that helps your heart, but

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Speaker 2: I don't really know anything beyond that. So so you.

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Speaker 1: Could get them for different medical situations involving the heart.

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Speaker 2: They come in all.

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Speaker 1: Different shapes and sizes and they do different things, but

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Speaker 1: the overall thing is that it's a small implantable electric

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Speaker 1: device that helps the heart rhythm stay normal. So some

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Speaker 1: people have atypical heart rhythm. So the thing doesn't necessarily

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Speaker 1: work all day, but when it feels like it needs to,

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Speaker 1: it'll zap the heart and make it continue to beat regularly. Now,

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Speaker 1: it's a piece of metal that goes underneath of the collarbone,

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Speaker 1: and you could grab it on someone and feel it,

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Speaker 1: so that this metal is the actual battery of the device.

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Speaker 1: And then there's usually electrodes that lead out of it

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Speaker 1: and go into the heart, like little pieces of wire

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Speaker 1: that are coated in plastic that go into the heart chamber.

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Speaker 1: And some of the newer ones don't even have that,

255
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Speaker 1: but he probably had one of the old school ones.

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Speaker 1: They're really they're really interesting to do an autopsy with.

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Speaker 1: I got zapped with one one time.

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Speaker 2: Oh my god.

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Speaker 1: I don't know exactly what happened because I've done so

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Speaker 1: many autopsies with people with pacemakers, and usually I would

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Speaker 1: just once I'm reflecting the skin so it's right underneath

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Speaker 1: the collarbones. So when I'm removing the skin off of

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Speaker 1: the ribs, you have these wires that are going into

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Speaker 1: the heart, and usually I would just cut it right

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Speaker 1: there so I could keep the wires in place and

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Speaker 1: make sure they were in place. And one of the

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Speaker 1: times I cut the wires, it zapped.

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Speaker 2: Me a little bit.

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Speaker 1: It wasn't like it threw me on the floor or anything,

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Speaker 1: but it just freaked me out. So then every single

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Speaker 1: time I did an autopsy after that, I was always

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Speaker 1: like thinking I was going to get like a little

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Speaker 1: ding to my body. And it's not typical. It only

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Speaker 1: happened that one time. It was really weird. But they

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Speaker 1: they're so if you have one, you have to tell

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Speaker 1: if you go to an MRI, you have this huge

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Speaker 1: piece of metal and planet it in your body. If

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Speaker 1: you get an MRI, you have to tell them if

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Speaker 1: you go through a metal detector it will go off.

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Speaker 2: And they even say that.

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Speaker 1: If you use your cell phone, you shouldn't use your

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Speaker 1: cell phone too close to it because it could affect.

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Speaker 2: The way that it works, which is nuts, right.

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Speaker 1: They say to use your other ear to talk on

285
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Speaker 1: the phone and stuff, which is really interesting. But these things, again,

286
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Speaker 1: like I was saying, there's all different kinds. So some

287
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Speaker 1: of them have they're connected to your doctor's office.

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Speaker 2: So they send reports.

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Speaker 1: So the doctor will set up a schedule and say

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Speaker 1: every couple weeks, send me a report on this pacemaker

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Speaker 1: and it'll go. And this way they could tell if

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Speaker 1: something major is happening, like the battery is about to

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Speaker 1: die or something on a person. But it's not continuously

294
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Speaker 1: moditoring a person. So if a doctor gets a report

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Speaker 1: and says, hey, this person's battery died, like, get them

296
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Speaker 1: in and then you're able to fix that now, because

297
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Speaker 1: people have too much of a gap in between their

298
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Speaker 1: doctor's appointments, so this is just a way to kind

299
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Speaker 1: of keep on top of them a little bit more regularly.

300
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Speaker 1: They also have the they have the ability to continuously

301
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Speaker 1: monitor people and for even more things that are going on.

302
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Speaker 1: And I'm not so it's like, I'm not sure which

303
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Speaker 1: one he had, but I'm assuming he probably had the

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Speaker 1: one that just did the periodic checks, because if it

305
00:16:12,520 --> 00:16:16,440
Speaker 1: was continuously monitoring him, it would have sent an alert

306
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Speaker 1: to the doctor right away that it wasn't working anymore,

307
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Speaker 1: and the doctor would have known it wouldn't be nine

308
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Speaker 1: days or whatever it was. So that's just what I'm

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Speaker 1: assuming that the doctor did not get the message that

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Speaker 1: the things stopped working, but they're able to check the

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Speaker 1: log and see, which is it's kind of crazy that

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Speaker 1: you could have something implanted in your body that they're

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Speaker 1: able to monitor, like the last day your heart was

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Speaker 1: beating correctly.

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Speaker 2: Well, I always wonder that about the order ring because

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Speaker 2: I'm like, let's say you're wearing it and you end

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Speaker 2: up dying, it would stop detecting your heart beat, right, yeah,

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Speaker 2: oh totally. Yeah, So you could really, in theory, if

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Speaker 2: somebody who was actively wearing that or an Apple watch

320
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Speaker 2: or whatever one of those devices, you could see like

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Speaker 2: the exact not exact moment, but give her take around

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Speaker 2: the time in which they died.

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Speaker 1: Yeah, it's really interesting. So I mean that's really the

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Speaker 1: only information we got. One other information that we did

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Speaker 1: get that is pretty significant is that they did say

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Speaker 1: that there was no signs of trauma on either body,

327
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Speaker 1: but then when they did the actual autopsy, they confirmed

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Speaker 1: that there was no trauma on either body. So before

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Speaker 1: one of my three or four theories was that she

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Speaker 1: could have fell, and I think at this point that's

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Speaker 1: ruled out. There was no skull fracture, there was no

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Speaker 1: brain bleed, So she died of natural causes as far

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Speaker 1: as that's concerned, and so did he. Unless their toxicology

334
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Speaker 1: comes up with something weird and crazy, we don't know.

335
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Speaker 1: So it looks like she didn't fall. Now let's talk

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Speaker 1: about the mommification a little bit. She was found apparently,

337
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Speaker 1: so I believe I was correct about the dog. The

338
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Speaker 1: dog was locked up and seems like it died from starvation.

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Speaker 2: Or cohdation or something like that. I didn't realize at

340
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Speaker 2: first that the dog was apparently like in a cage

341
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Speaker 2: or something. Yeah, it was.

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Speaker 1: I think that I said that last time, that it

343
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Speaker 1: was in a closet. So I was like, the only

344
00:18:06,080 --> 00:18:08,719
Speaker 1: reason that dog's dead is because it just was so

345
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Speaker 1: happened to be in a krate or something, you know

346
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Speaker 1: what I mean. So so that doesn't make the story

347
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Speaker 1: as weird anymore, because that's what's going to happen if

348
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Speaker 1: there's an animal that which is actually terrible to think

349
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Speaker 1: that the animal was in a cage, just like watching

350
00:18:21,280 --> 00:18:24,359
Speaker 1: his owner be dead like that. And it also kind

351
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Speaker 1: of makes me think that their deaths like rolling out

352
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Speaker 1: suicide a little bit more because I feel like, if

353
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Speaker 1: you were doing that intentionally, you wouldn't. You wouldn't do

354
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Speaker 1: that to one of your pets. They were like their babies,

355
00:18:37,000 --> 00:18:38,280
Speaker 1: you know what I mean, That would.

356
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Speaker 2: Just be well. Doctor Boden had been interviewed for this

357
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Speaker 2: article we're referencing in particular, and I guess his leading

358
00:18:45,920 --> 00:18:48,640
Speaker 2: theory was that Gene Hackman may have fell and then

359
00:18:49,400 --> 00:18:52,679
Speaker 2: in some type of panic, she ran to go maybe

360
00:18:52,680 --> 00:18:55,280
Speaker 2: get him medication or something to help him out. And

361
00:18:55,320 --> 00:18:58,800
Speaker 2: then he also theorized that she might have fell, but

362
00:18:58,880 --> 00:19:03,639
Speaker 2: then said because of the excitement of Jane falling, she

363
00:19:03,800 --> 00:19:06,600
Speaker 2: might have then had a cardiac episode two.

364
00:19:06,720 --> 00:19:10,720
Speaker 1: So I think I'm gonna roll that out though, because

365
00:19:10,760 --> 00:19:14,040
Speaker 1: they said there was no trauma. So if you fall,

366
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Speaker 1: especially if you're ninety five years old, there's going to

367
00:19:16,359 --> 00:19:18,960
Speaker 1: be like a ninety five year old you could like

368
00:19:19,040 --> 00:19:21,720
Speaker 1: bump their arm against the table and have a huge

369
00:19:21,720 --> 00:19:22,880
Speaker 1: hemorrhage under their skin.

370
00:19:22,960 --> 00:19:23,680
Speaker 2: You see old.

371
00:19:23,520 --> 00:19:25,680
Speaker 1: People with these bruises all over them all the time.

372
00:19:26,480 --> 00:19:29,680
Speaker 1: It's called senile echamosis. It happens because you don't really

373
00:19:29,680 --> 00:19:33,480
Speaker 1: have that much subcutaneous fat underneath your skin anymore, so

374
00:19:33,640 --> 00:19:36,159
Speaker 1: it's just like a layer of skin on top of

375
00:19:36,200 --> 00:19:39,639
Speaker 1: your blood vessels and they just burst super easy. So

376
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Speaker 1: I just I'm rolling that out. There was no evidence.

377
00:19:44,640 --> 00:19:48,159
Speaker 1: Even if she fell, it would just be like it

378
00:19:48,160 --> 00:19:50,120
Speaker 1: would have to be so bad that it would leave

379
00:19:50,280 --> 00:19:51,840
Speaker 1: trauma or something, and it just didn't.

380
00:19:51,880 --> 00:19:54,280
Speaker 2: So I just I don't agree with that. Honestly. He

381
00:19:54,880 --> 00:19:59,000
Speaker 2: was saying that Jean fell, she was running. This is

382
00:19:59,080 --> 00:20:02,920
Speaker 2: his theory. Fell. The wife Betsy was running to try

383
00:20:02,920 --> 00:20:05,240
Speaker 2: to get him some kind of care or medication or something,

384
00:20:05,440 --> 00:20:09,080
Speaker 2: and she either fell or she had a cardiac event

385
00:20:09,119 --> 00:20:12,920
Speaker 2: that caused her to die because of the stress of

386
00:20:13,000 --> 00:20:15,240
Speaker 2: him falling or something. That was just his theory. But

387
00:20:15,320 --> 00:20:17,439
Speaker 2: I know, but but like that didn't happen.

388
00:20:18,400 --> 00:20:20,879
Speaker 1: It just didn't, like there was there was no evidence

389
00:20:20,920 --> 00:20:22,600
Speaker 1: that anybody felt That's what I'm trying to say, So

390
00:20:23,000 --> 00:20:27,320
Speaker 1: that theory's out the window. There is an unusual condition

391
00:20:27,560 --> 00:20:31,240
Speaker 1: that's called Takasubo arteritis, and it's it's like the broken

392
00:20:31,280 --> 00:20:36,000
Speaker 1: heart syndrome. So it is possible that he died and

393
00:20:36,040 --> 00:20:38,920
Speaker 1: then she died of having spasms in her heart. It's

394
00:20:38,960 --> 00:20:41,639
Speaker 1: just like this weird phenomenon that happens sometimes when people

395
00:20:41,680 --> 00:20:45,120
Speaker 1: have a severe emotional distress, like losing a loved one

396
00:20:45,240 --> 00:20:48,439
Speaker 1: or even if they get really really scared or something

397
00:20:48,480 --> 00:20:48,760
Speaker 1: like that.

398
00:20:48,840 --> 00:20:52,040
Speaker 2: So that's a possibility. Yeah, I think that's what he

399
00:20:52,200 --> 00:20:55,800
Speaker 2: was saying. As the alternative, she fell or she had

400
00:20:55,880 --> 00:21:01,320
Speaker 2: a cardiac event. Okay, not so simultaneously, so it's so regardless.

401
00:21:01,359 --> 00:21:05,240
Speaker 2: I think that that's completely a possibility. And then obviously

402
00:21:05,920 --> 00:21:09,040
Speaker 2: once the toxicology comes back, if they rule out everything

403
00:21:09,119 --> 00:21:11,920
Speaker 2: with that, that could be fine. There was no evidence

404
00:21:11,920 --> 00:21:14,600
Speaker 2: of I wouldn't say they had food poisoning in the

405
00:21:14,680 --> 00:21:18,040
Speaker 2: sense of what you would what you would typically think

406
00:21:18,200 --> 00:21:22,520
Speaker 2: with a bacteria, or even if they had something crazy

407
00:21:22,600 --> 00:21:24,800
Speaker 2: like botulism or something, because there just didn't seem to

408
00:21:24,840 --> 00:21:27,239
Speaker 2: be any evidence that they were having any kind of

409
00:21:27,320 --> 00:21:32,640
Speaker 2: like g I or upper GI distress, although that doesn't

410
00:21:32,680 --> 00:21:36,320
Speaker 2: mean anything if they were clean about it. But I

411
00:21:36,320 --> 00:21:38,800
Speaker 2: guess in theory they could have gotten poisoned with like

412
00:21:38,960 --> 00:21:41,439
Speaker 2: arsenic or something too, But like, who's doing that? I

413
00:21:41,520 --> 00:21:43,119
Speaker 2: just I think they didn't.

414
00:21:43,119 --> 00:21:48,640
Speaker 1: They live in a secure like a security guard out

415
00:21:48,640 --> 00:21:50,399
Speaker 1: front a gated community or whatever.

416
00:21:50,640 --> 00:21:53,680
Speaker 2: That doesn't mean anything. But can they tell if they

417
00:21:53,720 --> 00:21:58,359
Speaker 2: can't really tell who died first necessarily right, well, they

418
00:21:58,800 --> 00:22:01,800
Speaker 2: they can depending on the level of decomposition. So this

419
00:22:01,840 --> 00:22:03,280
Speaker 2: is the thing that's going to be a little bit

420
00:22:03,280 --> 00:22:07,520
Speaker 2: weird because she was found I guess, in the bathroom

421
00:22:07,640 --> 00:22:09,760
Speaker 2: and she was in front of a space heater. They

422
00:22:09,760 --> 00:22:11,959
Speaker 2: didn't say if the space heater was on or not,

423
00:22:12,000 --> 00:22:15,719
Speaker 2: which would be important. But if you're in a house

424
00:22:16,000 --> 00:22:19,520
Speaker 2: that's contained, and you're in New Mexico, which is already

425
00:22:20,160 --> 00:22:22,480
Speaker 2: warmer as it is, and it's very dry, you're in

426
00:22:22,520 --> 00:22:25,000
Speaker 2: the desert, and you're in a house that doesn't have

427
00:22:25,040 --> 00:22:28,560
Speaker 2: any insects, you breaking down. The normal way of decomposing

428
00:22:28,720 --> 00:22:32,200
Speaker 2: is just a little bit different because the bacteria needs

429
00:22:32,240 --> 00:22:34,399
Speaker 2: water in order to break down, and if you're in

430
00:22:34,480 --> 00:22:39,560
Speaker 2: a very dry environment, that especially if the air conditioner

431
00:22:39,680 --> 00:22:42,040
Speaker 2: was on. But at the same time, so the wind

432
00:22:42,040 --> 00:22:44,680
Speaker 2: from the air conditioners blowing, but at the same time

433
00:22:44,720 --> 00:22:48,200
Speaker 2: there's a space heater on, that's also heating and blowing,

434
00:22:48,240 --> 00:22:50,640
Speaker 2: it could just dry out the skin, So that would

435
00:22:50,720 --> 00:22:53,679
Speaker 2: make sense as to why there was mummification. He was

436
00:22:53,720 --> 00:22:58,439
Speaker 2: found in the house as well. Yeah, he is in

437
00:22:58,480 --> 00:23:01,200
Speaker 2: the mudroom and she was in the and where the

438
00:23:01,240 --> 00:23:04,800
Speaker 2: dog the other two dogs were They outside? They said

439
00:23:04,840 --> 00:23:08,560
Speaker 2: they were roaming around And I remember last week there

440
00:23:08,600 --> 00:23:11,000
Speaker 2: was a report that their front door was a jar.

441
00:23:12,680 --> 00:23:15,080
Speaker 1: Yeah, I do remember that, So yeah, I mean I

442
00:23:15,119 --> 00:23:18,160
Speaker 1: don't I The only reason I'm asking that is because

443
00:23:18,320 --> 00:23:21,200
Speaker 1: obviously animals in the house that don't have any food,

444
00:23:21,520 --> 00:23:24,199
Speaker 1: that have dead bodies there, which we are actually going

445
00:23:24,280 --> 00:23:27,720
Speaker 1: to talk about with the next update, that that's what happened.

446
00:23:27,760 --> 00:23:30,919
Speaker 1: So they didn't say anything that there was evidence that

447
00:23:30,960 --> 00:23:33,680
Speaker 1: the animals were eating them, But they also aren't telling

448
00:23:33,760 --> 00:23:36,520
Speaker 1: us everything either, So this is just one of those

449
00:23:36,600 --> 00:23:39,879
Speaker 1: cases where we just need to wait for the toxicology

450
00:23:39,920 --> 00:23:44,680
Speaker 1: because then we could find out more. Also, if they

451
00:23:44,720 --> 00:23:47,280
Speaker 1: are suspecting that she had a cardiac event or he

452
00:23:47,280 --> 00:23:49,680
Speaker 1: had a cardiac event, whatever, they're going to take sections

453
00:23:49,680 --> 00:23:51,679
Speaker 1: of their heart to look at it under the microscope,

454
00:23:52,119 --> 00:23:54,919
Speaker 1: and that could also take a couple of days. And

455
00:23:55,080 --> 00:23:57,720
Speaker 1: also you kind of have issues because when a person

456
00:23:57,760 --> 00:24:01,800
Speaker 1: starts decomposing, Sometimes their tissues on their microscope don't look great,

457
00:24:01,840 --> 00:24:04,480
Speaker 1: and sometimes it's not as easy to figure out why

458
00:24:04,520 --> 00:24:06,840
Speaker 1: they died. So the biggest thing I guess we're waiting

459
00:24:06,840 --> 00:24:09,320
Speaker 1: for right now to summarize this all is like we

460
00:24:09,400 --> 00:24:11,400
Speaker 1: just have to wait and see what the toxicology says

461
00:24:11,440 --> 00:24:12,360
Speaker 1: and go from there.

462
00:24:12,359 --> 00:24:14,720
Speaker 2: And that could be a couple weeks still, right, Yeah,

463
00:24:14,800 --> 00:24:15,720
Speaker 2: I mean, I don't know.

464
00:24:15,840 --> 00:24:18,639
Speaker 1: I feel like in these cases, like whenever it's the

465
00:24:18,840 --> 00:24:21,280
Speaker 1: high profile cases, they could expedite it. I don't know

466
00:24:21,359 --> 00:24:23,879
Speaker 1: what their caseload there is in New Mexico, but I

467
00:24:23,920 --> 00:24:26,359
Speaker 1: mean they have so many cases, and a lot of

468
00:24:26,359 --> 00:24:28,440
Speaker 1: times they say, like we're not cutting anyone in line.

469
00:24:28,440 --> 00:24:30,879
Speaker 1: They're just gonna have to wait. So we'll say and

470
00:24:31,000 --> 00:24:32,840
Speaker 1: as soon as we find out, we'll do like a

471
00:24:32,880 --> 00:24:34,879
Speaker 1: breaking news episode talking about it.

472
00:24:35,560 --> 00:24:37,680
Speaker 2: Yeah, all right, So let's move on to the last

473
00:24:37,760 --> 00:24:41,000
Speaker 2: update we have. So my chemical romance drummer Bob Bryer,

474
00:24:41,119 --> 00:24:44,200
Speaker 2: he was found dead a couple months ago. We talked

475
00:24:44,200 --> 00:24:47,040
Speaker 2: about that, right, we had talked about it, and he

476
00:24:47,240 --> 00:24:49,560
Speaker 2: was a case where he was severely decomposed and they

477
00:24:49,600 --> 00:24:52,880
Speaker 2: had found evidence that his dogs were eating him and

478
00:24:53,400 --> 00:24:56,040
Speaker 2: now the Emmy is saying that three large canisters of

479
00:24:56,200 --> 00:24:58,560
Speaker 2: nitrous oxide were found next to his body.

480
00:24:59,320 --> 00:25:02,960
Speaker 1: Yeah, oxides the stuff that they give you at the dentists, right,

481
00:25:03,040 --> 00:25:06,359
Speaker 1: laughing gafts, and they give you just enough for you

482
00:25:06,440 --> 00:25:09,360
Speaker 1: to feel euphoric. And that's that's why people do whip

483
00:25:09,480 --> 00:25:11,840
Speaker 1: its because it's in whip cream containers and everything.

484
00:25:11,880 --> 00:25:13,320
Speaker 2: But if you have too much.

485
00:25:13,119 --> 00:25:15,760
Speaker 1: Of it, it can replace the oxygen in your blood

486
00:25:15,760 --> 00:25:18,680
Speaker 1: and on your blood cells then could cause an asphyxial death,

487
00:25:18,720 --> 00:25:22,720
Speaker 1: similar to like carbon monoxide poisoning or anything like that.

488
00:25:23,960 --> 00:25:26,960
Speaker 2: So yeah, I guess, because I guess we've talked about

489
00:25:27,000 --> 00:25:29,680
Speaker 2: this on here before. How you could just easily buy

490
00:25:29,760 --> 00:25:32,720
Speaker 2: the canisters, right, because yes, so they're talking about it

491
00:25:32,760 --> 00:25:34,560
Speaker 2: with like kids on TikTok doing it.

492
00:25:35,280 --> 00:25:39,880
Speaker 1: Yeah, and you can, well, they sell it. They sell

493
00:25:39,880 --> 00:25:42,240
Speaker 1: it on Amazon because you could buy it to make

494
00:25:42,280 --> 00:25:44,600
Speaker 1: your own homemade whip cream. They sell it. I mean,

495
00:25:44,640 --> 00:25:46,840
Speaker 1: it's not hard to get and you could get it

496
00:25:46,880 --> 00:25:49,560
Speaker 1: from just buying a normal can of whip cream.

497
00:25:49,600 --> 00:25:53,200
Speaker 2: I literally have it in my refrigerator right now. I guess.

498
00:25:53,280 --> 00:25:56,720
Speaker 1: They said they found three large canisters of the nitrous oxide,

499
00:25:57,080 --> 00:26:01,240
Speaker 1: but they also said that his body was so decomposed

500
00:26:01,280 --> 00:26:05,160
Speaker 1: that they weren't really able to say or determine if

501
00:26:05,240 --> 00:26:09,800
Speaker 1: it was a suicidal that he killed himself on purpose,

502
00:26:09,880 --> 00:26:12,520
Speaker 1: or it was an accidental overdose. And I think that

503
00:26:12,520 --> 00:26:17,119
Speaker 1: that's important to note because everybody gets a little confused

504
00:26:17,119 --> 00:26:19,960
Speaker 1: and but heard about that sometimes. But you have to

505
00:26:20,000 --> 00:26:23,080
Speaker 1: think about this, like if the guy just had it

506
00:26:23,119 --> 00:26:25,320
Speaker 1: because that was his drug of choice and he was

507
00:26:25,359 --> 00:26:27,560
Speaker 1: getting high on it and that's why he had it,

508
00:26:28,040 --> 00:26:31,200
Speaker 1: then he didn't mean to die. He just was getting

509
00:26:31,280 --> 00:26:34,800
Speaker 1: high and he died because he took too much. Whereas

510
00:26:34,880 --> 00:26:38,360
Speaker 1: people that kill themselves intentionally ingest a lot of it

511
00:26:38,440 --> 00:26:41,080
Speaker 1: because they want to die. And that's the difference between

512
00:26:41,080 --> 00:26:44,480
Speaker 1: putting the matter of death is accident versus suicide. You

513
00:26:44,520 --> 00:26:48,000
Speaker 1: could argue all the time about it and say, Okay,

514
00:26:49,320 --> 00:26:51,320
Speaker 1: if they were doing it, they knew they were gonna die,

515
00:26:51,320 --> 00:26:53,679
Speaker 1: and it's like yeah, but that's that's not how it works.

516
00:26:53,800 --> 00:26:57,760
Speaker 2: So would this then be undetermined If they can't officially

517
00:26:57,840 --> 00:27:00,040
Speaker 2: confirm if he did it intentionally.

518
00:26:59,640 --> 00:27:03,240
Speaker 1: They possibly put the death as undetermined. They will do

519
00:27:03,280 --> 00:27:06,879
Speaker 1: an investigation to see if he had Like now it

520
00:27:07,040 --> 00:27:09,359
Speaker 1: changes if he had a suicide note there and he

521
00:27:09,400 --> 00:27:11,760
Speaker 1: had a history of suicidal ideations and all this stuff,

522
00:27:11,800 --> 00:27:14,760
Speaker 1: and I don't really know about that, but even then,

523
00:27:15,720 --> 00:27:17,879
Speaker 1: I mean, it's just hard to say because I believe

524
00:27:17,960 --> 00:27:21,200
Speaker 1: that they weren't able to get really true levels of it,

525
00:27:21,320 --> 00:27:24,679
Speaker 1: and because when a person's decomposed, the blood work and

526
00:27:24,720 --> 00:27:26,879
Speaker 1: everything and the tissues, like I said, break down and

527
00:27:26,920 --> 00:27:31,240
Speaker 1: you just don't get accurate readings. And apparently a lot

528
00:27:31,240 --> 00:27:34,240
Speaker 1: of his body was eaten away by his dogs, so

529
00:27:35,200 --> 00:27:39,119
Speaker 1: you know, there's a limitations to the autopsy in those cases.

530
00:27:39,119 --> 00:27:42,720
Speaker 1: And I think he was dead twenty two days in

531
00:27:42,760 --> 00:27:45,560
Speaker 1: his house, so it was significantly decomposed.

532
00:27:45,960 --> 00:27:49,600
Speaker 2: I find it interesting we've recently had all these undetermined

533
00:27:49,640 --> 00:27:52,320
Speaker 2: cause of death with these stories we've covered, because I

534
00:27:52,359 --> 00:27:54,840
Speaker 2: don't know if you remember, but like sometime last year,

535
00:27:54,960 --> 00:27:56,879
Speaker 2: maybe the year before, I was doing one of my

536
00:27:56,920 --> 00:28:01,720
Speaker 2: favorite activities, making a spreadsheet of all the dissections we've

537
00:28:01,760 --> 00:28:05,600
Speaker 2: covered for the website, and I was breaking them down

538
00:28:05,640 --> 00:28:08,240
Speaker 2: by manner of death, and we only had I think

539
00:28:08,400 --> 00:28:11,639
Speaker 2: three that were undetermined at that time, compared to all

540
00:28:11,640 --> 00:28:14,000
Speaker 2: the other categories, where we had dozens of them in

541
00:28:14,040 --> 00:28:16,600
Speaker 2: each category. And I think you and I just had

542
00:28:16,640 --> 00:28:19,840
Speaker 2: a discussion about how undetermined. Is it happens, but it's

543
00:28:19,840 --> 00:28:22,320
Speaker 2: so uncommon, And now in the last couple of months,

544
00:28:22,359 --> 00:28:24,639
Speaker 2: it's been almost like in the last week in particular,

545
00:28:24,680 --> 00:28:26,159
Speaker 2: it's been all these people.

546
00:28:26,400 --> 00:28:28,480
Speaker 1: I think it's important to note too, and I'm gonna

547
00:28:28,480 --> 00:28:31,480
Speaker 1: look this up after this episode, but especially when we're

548
00:28:31,520 --> 00:28:36,399
Speaker 1: talking about Michelle Trachenberg, I think that all of the

549
00:28:36,560 --> 00:28:41,360
Speaker 1: articles I read said that her cause of death was undetermined. Yes,

550
00:28:41,680 --> 00:28:45,200
Speaker 1: but there's a difference between a cause of death being

551
00:28:45,280 --> 00:28:50,680
Speaker 1: undetermined and a manner of death being undetermined. So I'm

552
00:28:50,760 --> 00:28:53,640
Speaker 1: curious to see if we could pull up the record

553
00:28:53,680 --> 00:28:56,120
Speaker 1: of her death certificate and see what her manner of

554
00:28:56,160 --> 00:28:58,720
Speaker 1: death was, because they might have said, okay, her manner

555
00:28:58,720 --> 00:29:01,080
Speaker 1: of death was natural, so they were one hundred percent

556
00:29:01,200 --> 00:29:03,960
Speaker 1: sure that she died as a result of her liver

557
00:29:04,080 --> 00:29:09,240
Speaker 1: failure and from complications from the transplant, So they would

558
00:29:09,240 --> 00:29:13,520
Speaker 1: still put a natural death, or they could even put

559
00:29:13,560 --> 00:29:15,880
Speaker 1: suicide as a manner of death, but they could put

560
00:29:16,160 --> 00:29:19,920
Speaker 1: undetermined meaning they don't know how she did it, or

561
00:29:20,520 --> 00:29:23,920
Speaker 1: undetermined cause of death. The same with the natural manner

562
00:29:24,040 --> 00:29:26,479
Speaker 1: is that we don't know exactly what was the what

563
00:29:27,240 --> 00:29:29,200
Speaker 1: pulled the trigger and caused her to die, but we

564
00:29:29,280 --> 00:29:33,280
Speaker 1: know that it was natural causes. So in this case

565
00:29:33,320 --> 00:29:36,640
Speaker 1: it would be a little bit different because they do

566
00:29:36,800 --> 00:29:41,400
Speaker 1: know that he had ingested this nitrous oxide. What they

567
00:29:41,440 --> 00:29:44,320
Speaker 1: don't know is why he did it, which would be

568
00:29:44,400 --> 00:29:48,440
Speaker 1: the manner okay, and like we could use this. Another

569
00:29:48,520 --> 00:29:51,440
Speaker 1: thing we're talking about in a little bit is Casey Anthony.

570
00:29:51,520 --> 00:29:55,160
Speaker 1: But her manner of death was listed homicide because the

571
00:29:55,240 --> 00:29:59,200
Speaker 1: medical examiner felt as if there's no reason that a

572
00:29:59,320 --> 00:30:02,320
Speaker 1: child should be dead in the woods with duct tape

573
00:30:02,320 --> 00:30:05,360
Speaker 1: on her mouth. There's no natural way that that happens.

574
00:30:05,800 --> 00:30:10,040
Speaker 1: The kid didn't kill herself, no, okay, and so and

575
00:30:10,160 --> 00:30:14,080
Speaker 1: that wasn't an accident. You don't accidentally drop a child

576
00:30:14,200 --> 00:30:16,520
Speaker 1: with duct tape on their mouth in the woods. So

577
00:30:16,560 --> 00:30:20,080
Speaker 1: she was certain to call the manner of death homicide. However,

578
00:30:20,520 --> 00:30:23,480
Speaker 1: the cause of death was listed as undetermined. They don't

579
00:30:23,520 --> 00:30:26,760
Speaker 1: know if she was you know, there was questions if

580
00:30:26,760 --> 00:30:30,320
Speaker 1: she had ether or something, remember was it ether.

581
00:30:32,440 --> 00:30:33,520
Speaker 2: Chloroform or something.

582
00:30:33,520 --> 00:30:35,800
Speaker 1: They don't know if that was a thing or they

583
00:30:36,160 --> 00:30:40,120
Speaker 1: couldn't determine exactly what was the thing that caused her

584
00:30:40,160 --> 00:30:42,720
Speaker 1: to die, But they were certain that it was homicide.

585
00:30:42,760 --> 00:30:46,160
Speaker 1: So there is a difference between the manner and cause

586
00:30:46,200 --> 00:30:47,400
Speaker 1: of death being undetermined.

587
00:30:48,040 --> 00:30:50,720
Speaker 2: All right, So we had two other notable deaths that occur,

588
00:30:50,840 --> 00:30:53,360
Speaker 2: I mean there has been This year has so far

589
00:30:53,520 --> 00:30:56,320
Speaker 2: been like filled with celebrity deaths. So first we have

590
00:30:56,440 --> 00:30:58,920
Speaker 2: a frontman of New York Dolls, David Johansen. He has

591
00:30:59,000 --> 00:31:02,160
Speaker 2: died in seventy five years old. He announced last month

592
00:31:02,160 --> 00:31:04,640
Speaker 2: that he was suffering from stage four cancer, brain tumor

593
00:31:04,720 --> 00:31:07,760
Speaker 2: and a broken back, so definitely sad to hear.

594
00:31:08,720 --> 00:31:12,680
Speaker 1: One of the things that's interesting is when a person

595
00:31:13,400 --> 00:31:15,920
Speaker 1: has cancer and it spreads to the bones, they could

596
00:31:15,920 --> 00:31:19,680
Speaker 1: have what's called pathologic fractures, so they might not even

597
00:31:19,720 --> 00:31:22,560
Speaker 1: know that they have cancer. And then someone has a

598
00:31:22,600 --> 00:31:25,560
Speaker 1: small fall and then breaks up one of their vertebral

599
00:31:25,600 --> 00:31:27,760
Speaker 1: bones or their backbones and goes to the hospital and

600
00:31:27,760 --> 00:31:30,960
Speaker 1: then it's like, oh shit, and prostate cancer is honestly

601
00:31:31,080 --> 00:31:34,560
Speaker 1: like one that's good for that in men, and go

602
00:31:34,640 --> 00:31:37,520
Speaker 1: to the doctor and see, oh, you have cancer there

603
00:31:37,600 --> 00:31:39,840
Speaker 1: and that's what caused the break. But by the time

604
00:31:39,880 --> 00:31:42,440
Speaker 1: the cancer's and the bones, you're diagnosed at stage four.

605
00:31:42,600 --> 00:31:45,840
Speaker 1: So that's I mean in men. I would most commonly

606
00:31:46,240 --> 00:31:49,160
Speaker 1: think that situation would be seen in prostate cancer, whereas

607
00:31:49,160 --> 00:31:51,719
Speaker 1: with women you would see it most commonly with breast cancer.

608
00:31:52,800 --> 00:31:56,040
Speaker 2: Yeah. And then the last I guess celebrity adjacent death

609
00:31:56,080 --> 00:31:59,160
Speaker 2: we have is Dolly Parton's husband of almost sixty years

610
00:31:59,160 --> 00:32:02,200
Speaker 2: has passed away. Hey, we know this one's hurting you.

611
00:32:03,240 --> 00:32:06,960
Speaker 2: I it is upset. It is upsetting because they met

612
00:32:06,960 --> 00:32:11,360
Speaker 2: in nineteen sixty four. They've been married since nineteen sixty six,

613
00:32:11,520 --> 00:32:14,800
Speaker 2: and that's I mean, it's an accomplishment to be married

614
00:32:14,800 --> 00:32:19,440
Speaker 2: that long, especially today and especially in celebrity culture. How

615
00:32:19,480 --> 00:32:24,200
Speaker 2: old she She's seventy nine. He was eighty two. I

616
00:32:24,240 --> 00:32:26,680
Speaker 2: think right now it's unclear how he died, but I

617
00:32:26,680 --> 00:32:29,040
Speaker 2: mean he was older. You know, I don't know if

618
00:32:29,040 --> 00:32:32,360
Speaker 2: he had been battling any illness or anything. Yeah.

619
00:32:32,360 --> 00:32:35,920
Speaker 1: Well, they were super super private with him, which is

620
00:32:36,160 --> 00:32:38,680
Speaker 1: I think is very cool actually because she's one of

621
00:32:38,760 --> 00:32:40,920
Speaker 1: the most famous people in the world, and just to

622
00:32:41,040 --> 00:32:43,880
Speaker 1: think that her husband was able to go to the

623
00:32:43,920 --> 00:32:46,160
Speaker 1: store and nobody really ever knew who.

624
00:32:46,120 --> 00:32:49,200
Speaker 2: He was, it's really cool. Yeah. I was. I was

625
00:32:49,240 --> 00:32:51,800
Speaker 2: reading a little bit about it. So, like obviously I've

626
00:32:51,840 --> 00:32:54,000
Speaker 2: read a million books about her and listen to every

627
00:32:54,040 --> 00:32:56,040
Speaker 2: podcast on the Face of the Son about her and

628
00:32:56,120 --> 00:32:59,640
Speaker 2: like everything. So I think it's really cool because they

629
00:32:59,720 --> 00:33:01,560
Speaker 2: met and I don't know if you know this, but

630
00:33:01,920 --> 00:33:04,040
Speaker 2: so they met and they were dating, and her record

631
00:33:04,040 --> 00:33:06,440
Speaker 2: company really did not want her to get married because

632
00:33:06,440 --> 00:33:08,320
Speaker 2: they thought it was going to destroy the image they

633
00:33:08,320 --> 00:33:10,920
Speaker 2: were building for her. So she eloped and was like,

634
00:33:11,080 --> 00:33:13,280
Speaker 2: if you I'm doing whatever I want. And they got

635
00:33:13,360 --> 00:33:16,600
Speaker 2: married anyway. And then when she started getting recognition for

636
00:33:16,680 --> 00:33:19,640
Speaker 2: her songwriting, he did, early on in her career go

637
00:33:19,760 --> 00:33:22,440
Speaker 2: to one dinner for her where she was getting an award,

638
00:33:22,520 --> 00:33:24,040
Speaker 2: and when they got in the car, he was like,

639
00:33:24,720 --> 00:33:27,280
Speaker 2: I want you to have everything you've ever wanted, and

640
00:33:27,320 --> 00:33:29,840
Speaker 2: I'll support you, but I am never going to anything

641
00:33:29,880 --> 00:33:32,440
Speaker 2: like that ever again, which I think.

642
00:33:32,520 --> 00:33:35,600
Speaker 1: So he's a normal yes, Like he's a normal person.

643
00:33:35,800 --> 00:33:39,680
Speaker 1: And yeah, it is cool because it's she's got this

644
00:33:39,840 --> 00:33:43,760
Speaker 1: persona that she puts on and then it's it's keeping

645
00:33:43,920 --> 00:33:47,080
Speaker 1: very distinct lines between work and home. And I like

646
00:33:47,160 --> 00:33:50,760
Speaker 1: that there's no mixing, there's no this guy's just trying

647
00:33:50,760 --> 00:33:53,680
Speaker 1: to You have to admire that that he was just

648
00:33:53,720 --> 00:33:55,760
Speaker 1: trying to be himself and he didn't want to be

649
00:33:55,840 --> 00:33:59,200
Speaker 1: anybody just because he was associated with her. I'm sure

650
00:33:59,520 --> 00:34:01,440
Speaker 1: that that help their marriage stay together.

651
00:34:01,560 --> 00:34:04,920
Speaker 2: Honestly, yeah, it did. And then I was reading you

652
00:34:04,960 --> 00:34:07,600
Speaker 2: know this article we referenced with saying her like tips

653
00:34:07,600 --> 00:34:09,800
Speaker 2: to their long lasting marriage, which is that they didn't

654
00:34:09,840 --> 00:34:12,600
Speaker 2: really ever get an arguments and when they sense their retention,

655
00:34:12,760 --> 00:34:15,240
Speaker 2: they try to make a joke about it and loosen

656
00:34:15,320 --> 00:34:18,720
Speaker 2: up the tension. I think they had a really cute

657
00:34:18,800 --> 00:34:21,279
Speaker 2: relationship that seemed like they were both kind of like

658
00:34:21,360 --> 00:34:25,279
Speaker 2: ballbusters of each other. And I definitely think for both

659
00:34:25,320 --> 00:34:27,520
Speaker 2: of our marriages that's kind of in a way how

660
00:34:27,520 --> 00:34:31,000
Speaker 2: we our dynamic is with our husbands too. God, I

661
00:34:31,040 --> 00:34:31,799
Speaker 2: was just thinking that.

662
00:34:31,880 --> 00:34:34,239
Speaker 1: I'm like, whenever Gabe gets mad, i just look at

663
00:34:34,280 --> 00:34:36,520
Speaker 1: them and I make like faces and I'm like, oh,

664
00:34:36,640 --> 00:34:38,600
Speaker 1: do you want to cry on my shop? And then

665
00:34:38,640 --> 00:34:41,600
Speaker 1: he just like bust out laughing. It's like it really,

666
00:34:41,840 --> 00:34:45,399
Speaker 1: it really like works. It just it just when you're

667
00:34:45,520 --> 00:34:48,239
Speaker 1: going down a hole of like anger and somebody can

668
00:34:48,320 --> 00:34:50,480
Speaker 1: pull you out of it. However it is just by

669
00:34:50,520 --> 00:34:53,239
Speaker 1: doing something funny. It just like it changes the whole

670
00:34:53,320 --> 00:34:55,200
Speaker 1: vibe of a marriage. It's pretty amazing.

671
00:34:56,080 --> 00:34:58,920
Speaker 2: Yeah, I mean, I yeah, I think that's the most

672
00:34:58,960 --> 00:35:01,560
Speaker 2: successful thing, being able to get out of it. And

673
00:35:01,560 --> 00:35:04,799
Speaker 2: not fighting all the time. I mean, it makes me

674
00:35:04,880 --> 00:35:07,440
Speaker 2: really sad for her because they were together since she

675
00:35:07,560 --> 00:35:10,239
Speaker 2: was eighteen years old. And think about that, like the

676
00:35:10,280 --> 00:35:13,440
Speaker 2: person you've known longest and the most intimately in your

677
00:35:13,480 --> 00:35:15,040
Speaker 2: life is now no longer here.

678
00:35:16,000 --> 00:35:19,040
Speaker 1: I give her six months, it's my prediction.

679
00:35:18,960 --> 00:35:20,680
Speaker 2: Before finding another boyfriend.

680
00:35:20,880 --> 00:35:24,760
Speaker 1: No, I think that it's there's so many documented cases

681
00:35:24,840 --> 00:35:27,960
Speaker 1: of a husband or a wife dying and then the

682
00:35:28,000 --> 00:35:30,200
Speaker 1: partner that has been with them for a very long

683
00:35:30,239 --> 00:35:31,880
Speaker 1: time dying within a year of that.

684
00:35:32,080 --> 00:35:34,120
Speaker 2: Dude, do not put that in the atmosphere.

685
00:35:34,760 --> 00:35:38,640
Speaker 1: I'm just I'm just making a I'm making a gambling guess.

686
00:35:39,000 --> 00:35:40,920
Speaker 2: All right, Well, I don't really like that because I

687
00:35:41,000 --> 00:35:42,680
Speaker 2: love her and obviously she will die.

688
00:35:42,960 --> 00:35:45,319
Speaker 1: I think she's awesome, and I don't want to die.

689
00:35:45,360 --> 00:35:47,600
Speaker 1: I'm just saying that that that happens often.

690
00:35:48,680 --> 00:35:50,400
Speaker 2: You know, what was really cute that they did a

691
00:35:50,440 --> 00:35:53,760
Speaker 2: couple of years ago. She was on that Playboy spread,

692
00:35:53,800 --> 00:35:56,080
Speaker 2: you know, dressed as a buddy, and then she put

693
00:35:56,080 --> 00:35:58,520
Speaker 2: the outfit back on for him for their anniversary a

694
00:35:58,520 --> 00:36:01,600
Speaker 2: couple of years ago. Oh that's great. Yeah, So, I

695
00:36:01,640 --> 00:36:03,279
Speaker 2: mean it makes me sad for her, But what are

696
00:36:03,320 --> 00:36:05,160
Speaker 2: you gonna do. At least they had a very long

697
00:36:05,200 --> 00:36:07,680
Speaker 2: marriage in life together. I mean, you want to hope

698
00:36:07,719 --> 00:36:09,839
Speaker 2: that if you are madly in love with somebody, that

699
00:36:09,880 --> 00:36:11,920
Speaker 2: you are with each other for most of your life

700
00:36:11,920 --> 00:36:14,319
Speaker 2: and die in old age, not young and taken away

701
00:36:14,360 --> 00:36:14,840
Speaker 2: too early.

702
00:36:14,960 --> 00:36:19,880
Speaker 1: You know. Yeah, Okay, so freak accidents. Our friend Lauren

703
00:36:19,920 --> 00:36:23,920
Speaker 1: sent with this terrifying video on Instagram the other day, So, Maria,

704
00:36:23,960 --> 00:36:25,239
Speaker 1: whyn't you tell them about it?

705
00:36:25,560 --> 00:36:28,040
Speaker 2: This is horrifying. So last week in New York City,

706
00:36:28,080 --> 00:36:31,359
Speaker 2: two window washers were up on a scaffold seventy eight

707
00:36:31,480 --> 00:36:36,200
Speaker 2: floors high. Suddenly, strong wings picked up and started launching

708
00:36:36,440 --> 00:36:39,160
Speaker 2: this scaffold into the building. They broke a bunch of

709
00:36:39,200 --> 00:36:41,400
Speaker 2: the windows, and you see in this video they're just

710
00:36:41,480 --> 00:36:45,280
Speaker 2: twirling around so high in the air. It's so terrifying.

711
00:36:45,800 --> 00:36:48,680
Speaker 1: That job is just like fuck this anyway. When I

712
00:36:48,719 --> 00:36:53,200
Speaker 1: see that, imagine there's no window in the world that

713
00:36:53,280 --> 00:36:56,680
Speaker 1: needs to get clean that bad. I'm I'm sorry, that's

714
00:36:56,760 --> 00:37:00,720
Speaker 1: just so terrifying. But I don't think that they really

715
00:37:01,000 --> 00:37:02,960
Speaker 1: got injured. It seems like they brought them to the

716
00:37:02,960 --> 00:37:05,080
Speaker 1: hospital and they were fine. It's amazing that no one

717
00:37:05,120 --> 00:37:08,440
Speaker 1: got injured, not only those people, that were on the scaffold,

718
00:37:08,480 --> 00:37:10,640
Speaker 1: but the people that were on the ground because huge

719
00:37:10,719 --> 00:37:13,880
Speaker 1: chunks of glass were flying on the street as the

720
00:37:13,920 --> 00:37:15,560
Speaker 1: scaffold was hitting the building.

721
00:37:16,040 --> 00:37:19,120
Speaker 2: That's what I was thinking, some total final destination. You're

722
00:37:19,160 --> 00:37:21,080
Speaker 2: just walking to work in the morning in a giant

723
00:37:21,160 --> 00:37:23,279
Speaker 2: chunk of glass just lands right in your head.

724
00:37:23,440 --> 00:37:26,560
Speaker 1: How horrible it was. Like it's a weird kind of

725
00:37:26,560 --> 00:37:30,240
Speaker 1: glass too. It's probably tempered so it but it was thick,

726
00:37:30,360 --> 00:37:32,600
Speaker 1: Like you could see the thickness of the glass. Obviously

727
00:37:32,600 --> 00:37:34,600
Speaker 1: it's going to be thick if it's outside of a building,

728
00:37:34,680 --> 00:37:40,600
Speaker 1: protecting it from the outside environment. But yeah, it's God,

729
00:37:40,719 --> 00:37:43,839
Speaker 1: it just looks so terrifying, and luckily like firefighters were

730
00:37:43,880 --> 00:37:45,799
Speaker 1: able to go up there and reel them in and

731
00:37:45,840 --> 00:37:48,200
Speaker 1: pull them in and stuff. I just I don't even

732
00:37:48,239 --> 00:37:50,560
Speaker 1: know how you have the balls to do that as

733
00:37:50,760 --> 00:37:53,360
Speaker 1: a profession. It just terrifies me.

734
00:37:53,800 --> 00:37:56,000
Speaker 2: Well, I guess they're looking into the official cause too,

735
00:37:56,040 --> 00:37:58,400
Speaker 2: because it seems like the men had harnesses on but

736
00:37:58,440 --> 00:38:01,920
Speaker 2: they weren't secured. So were they not secured? Why was?

737
00:38:02,560 --> 00:38:05,840
Speaker 2: I'm surprised this is the first I guess this probably

738
00:38:05,920 --> 00:38:07,920
Speaker 2: isn't the first time something like this has happened, but

739
00:38:08,600 --> 00:38:11,400
Speaker 2: in the news it has been probably a while since

740
00:38:11,520 --> 00:38:14,040
Speaker 2: a case like this has been shown. So I just

741
00:38:14,120 --> 00:38:17,120
Speaker 2: wonder what they did to make this happen, or if

742
00:38:17,120 --> 00:38:20,279
Speaker 2: it was just a complete freak, really windy day and

743
00:38:20,280 --> 00:38:22,440
Speaker 2: maybe they shouldn't have been out there in the first place.

744
00:38:22,480 --> 00:38:23,239
Speaker 2: I don't even know.

745
00:38:24,880 --> 00:38:27,200
Speaker 1: I told you before that when I feel like I

746
00:38:27,239 --> 00:38:29,520
Speaker 1: said this on the show before that, there was when

747
00:38:29,600 --> 00:38:32,960
Speaker 1: I was in one of the pathologists office at one

748
00:38:33,000 --> 00:38:36,040
Speaker 1: of my old jobs that a person was outside and

749
00:38:36,080 --> 00:38:37,960
Speaker 1: fell like straight in front.

750
00:38:37,760 --> 00:38:39,279
Speaker 2: Of us onto the ground and died.

751
00:38:39,680 --> 00:38:46,919
Speaker 1: Yeah, it's so like just whole profession just seems very No,

752
00:38:47,360 --> 00:38:49,960
Speaker 1: it's just anxiety. I mean you look at it and

753
00:38:50,000 --> 00:38:51,080
Speaker 1: you're like, I guess.

754
00:38:50,800 --> 00:38:51,799
Speaker 2: Someone has to do it.

755
00:38:51,840 --> 00:38:54,200
Speaker 1: There's just like no other way they could figure out

756
00:38:54,239 --> 00:38:54,880
Speaker 1: how to do that.

757
00:38:54,960 --> 00:38:57,600
Speaker 2: At this point, does somebody have to do it? I mean,

758
00:38:57,640 --> 00:38:59,719
Speaker 2: does rain not just stay care of? Now?

759
00:39:00,040 --> 00:39:02,400
Speaker 1: It does, because like the hard water and stuff it gets.

760
00:39:02,520 --> 00:39:05,919
Speaker 1: I see, I could see it, like you can even

761
00:39:05,920 --> 00:39:08,040
Speaker 1: see it in your shower for example, like on the

762
00:39:08,120 --> 00:39:10,040
Speaker 1: glass doors if you don't use.

763
00:39:09,960 --> 00:39:11,080
Speaker 2: Your little squeegee thing.

764
00:39:11,120 --> 00:39:14,279
Speaker 1: It just the hard water leaves marks and everything, and

765
00:39:14,360 --> 00:39:16,640
Speaker 1: the rain water is gonna be even worse with just

766
00:39:16,800 --> 00:39:20,879
Speaker 1: stuff in it. And you're in a building where people live,

767
00:39:20,960 --> 00:39:23,719
Speaker 1: it's their office, whatever, you have to look outside. I

768
00:39:23,840 --> 00:39:26,320
Speaker 1: just think that there there has to be a better

769
00:39:26,360 --> 00:39:28,919
Speaker 1: way or make some kind of repellent coating or something.

770
00:39:28,960 --> 00:39:32,319
Speaker 2: I'm not sure. So when they were showing pictures and

771
00:39:32,440 --> 00:39:35,920
Speaker 2: videos from inside of the building of the scaffold on

772
00:39:35,960 --> 00:39:39,279
Speaker 2: the outside, I could see right there was where my

773
00:39:39,400 --> 00:39:42,160
Speaker 2: internship was. The building was right there, and I'm like,

774
00:39:42,200 --> 00:39:44,359
Speaker 2: can you imagine if I was just there that day

775
00:39:44,360 --> 00:39:47,279
Speaker 2: and watching it out the window happened, it just would

776
00:39:47,320 --> 00:39:48,120
Speaker 2: be I want to.

777
00:39:48,080 --> 00:39:50,359
Speaker 1: Hear from those guys, like what they were, what they

778
00:39:50,600 --> 00:39:51,560
Speaker 1: they were going through.

779
00:39:51,719 --> 00:40:03,560
Speaker 2: I Jesus. This episode is brought to you by the

780
00:40:03,600 --> 00:40:05,440
Speaker 2: Gross Room guys.

781
00:40:05,520 --> 00:40:12,920
Speaker 1: We finally with regret. We wrote up our bestiality post yesterday,

782
00:40:13,000 --> 00:40:16,560
Speaker 1: and I say with regret because I was much better

783
00:40:16,600 --> 00:40:20,480
Speaker 1: off before. I didn't really know anything about it. Obviously.

784
00:40:20,520 --> 00:40:22,880
Speaker 1: We've talked about it a couple times on this show

785
00:40:23,360 --> 00:40:26,360
Speaker 1: that there's people that get arrested for having sex with animals,

786
00:40:26,400 --> 00:40:28,480
Speaker 1: but you just don't know the half of it, and

787
00:40:28,520 --> 00:40:34,680
Speaker 1: it's really just like mind blowing disturbing. So if you

788
00:40:34,719 --> 00:40:37,600
Speaker 1: don't want to have questionable Google searches on your computer

789
00:40:37,920 --> 00:40:41,400
Speaker 1: like we now do. You could check out our article

790
00:40:41,400 --> 00:40:46,480
Speaker 1: on Best Reality. We also have some really great stories

791
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792
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Speaker 1: unusual vaginal foreign body, very weird case, and talking about

793
00:40:55,640 --> 00:40:59,880
Speaker 1: schizophrenia and just like how terrible of a disease it is.

794
00:41:00,040 --> 00:41:03,360
Speaker 1: We were talking remember last week, we're talking about that guy

795
00:41:03,440 --> 00:41:07,600
Speaker 1: that killed his brother and then ripped his eyeballs out,

796
00:41:07,680 --> 00:41:09,440
Speaker 1: and there was evidence that he was trying to or

797
00:41:09,480 --> 00:41:11,279
Speaker 1: that he ate the eyeball. There was a fork and

798
00:41:11,360 --> 00:41:14,240
Speaker 1: knife and the eyeball was missing and stuff. I'm pretty

799
00:41:14,280 --> 00:41:17,120
Speaker 1: certain that that guy has schizophrenia. And I did hear

800
00:41:17,160 --> 00:41:20,640
Speaker 1: too that he tried to kill himself since he's been arrested,

801
00:41:21,160 --> 00:41:24,840
Speaker 1: because he probably got medicated and it's starting to all

802
00:41:25,040 --> 00:41:27,919
Speaker 1: come together as to what happened, which is just such

803
00:41:27,920 --> 00:41:30,120
Speaker 1: a terrible disease. So we talk about that a little

804
00:41:30,160 --> 00:41:33,480
Speaker 1: bit in the gross room. So check out the Beast Reality.

805
00:41:33,520 --> 00:41:38,320
Speaker 2: It won't disappoint. Unfortunately, I was exposed to horse panties yesterday,

806
00:41:38,400 --> 00:41:41,200
Speaker 2: which I never want to see again in my life.

807
00:41:41,239 --> 00:41:44,719
Speaker 2: So I hope you guys enjoy it, because Google fuck

808
00:41:44,800 --> 00:41:48,400
Speaker 2: puts panties on a horse, like I can't googling for

809
00:41:48,560 --> 00:41:53,640
Speaker 2: this article and doing this research without being exposed to

810
00:41:53,719 --> 00:41:56,560
Speaker 2: anything should have been an Olympic sport because I mean

811
00:41:57,000 --> 00:42:00,480
Speaker 2: the terminology we had the search to not acts idly

812
00:42:00,640 --> 00:42:04,200
Speaker 2: see a clip of something was really difficult, but I

813
00:42:04,200 --> 00:42:06,279
Speaker 2: mean we did it and it's there. I hope you

814
00:42:06,320 --> 00:42:08,680
Speaker 2: guys enjoy. Head over to the grossroom dot com for

815
00:42:08,760 --> 00:42:15,520
Speaker 2: more info and to sign up. Okay true crime Casey

816
00:42:15,640 --> 00:42:20,200
Speaker 2: Anthony aka top Mom has surprised everyone this week with

817
00:42:20,320 --> 00:42:23,360
Speaker 2: joining TikTok and trying to promote a substack because she

818
00:42:23,680 --> 00:42:25,600
Speaker 2: claims her new career is going to be as a

819
00:42:25,680 --> 00:42:26,719
Speaker 2: legal advocate.

820
00:42:28,160 --> 00:42:31,080
Speaker 1: Dude, I cannot wait to hear what Nancy Grace has

821
00:42:31,120 --> 00:42:34,279
Speaker 1: to say about this, like I know, looking forward to it.

822
00:42:35,960 --> 00:42:39,960
Speaker 1: She I'm surprised that it's taken this long for her

823
00:42:40,120 --> 00:42:43,960
Speaker 1: to do this because clearly, I you do you have

824
00:42:44,000 --> 00:42:46,839
Speaker 1: the TikTok on your phone, Like can you look up

825
00:42:46,880 --> 00:42:49,839
Speaker 1: and see if she's even got followers? And she has

826
00:42:49,960 --> 00:42:54,000
Speaker 1: said about sixty thousand TikTok followers she had in one day,

827
00:42:54,640 --> 00:42:56,120
Speaker 1: well or a couple of days, a couple.

828
00:42:55,880 --> 00:42:59,920
Speaker 2: Of days the substack she had about two thousand followers,

829
00:43:00,040 --> 00:43:04,920
Speaker 2: which I thought was interesting. Yeah, what is subs exactly.

830
00:43:05,280 --> 00:43:07,759
Speaker 2: It's like it's kind of like WordPress. It's like a

831
00:43:08,320 --> 00:43:11,239
Speaker 2: blog type of website, but you can set it up

832
00:43:11,280 --> 00:43:13,799
Speaker 2: like Patreon where you can get subscription money. But like,

833
00:43:13,880 --> 00:43:16,320
Speaker 2: I don't think you can make it that fun or anything.

834
00:43:16,480 --> 00:43:20,040
Speaker 2: It was straightforward a blog. Does she have it set

835
00:43:20,160 --> 00:43:23,279
Speaker 2: up for to get money off of it? Well, I

836
00:43:23,360 --> 00:43:25,319
Speaker 2: tried to look at the comments, and it wanted me

837
00:43:25,400 --> 00:43:28,120
Speaker 2: to log in, but you could see a couple of

838
00:43:28,160 --> 00:43:30,839
Speaker 2: her posts and actually, I don't know if you looked

839
00:43:30,840 --> 00:43:32,840
Speaker 2: at it at all, but just a couple of hours

840
00:43:32,840 --> 00:43:35,719
Speaker 2: before we recorded this, she made a post that said,

841
00:43:35,800 --> 00:43:39,359
Speaker 2: quote for everyone speaking good, bad, or otherwise, heed your

842
00:43:39,400 --> 00:43:42,280
Speaker 2: words and make sure you're saying something of substance. Here's

843
00:43:42,320 --> 00:43:45,400
Speaker 2: the law in Florida about threats, libel and slander. You

844
00:43:45,440 --> 00:43:47,960
Speaker 2: don't have to be a Florida resident to be charged.

845
00:43:48,200 --> 00:43:52,080
Speaker 2: Jurisdiction is where the crime was committed. Usually if it's

846
00:43:52,120 --> 00:43:55,720
Speaker 2: over the Internet and you're saying something hateful, slanderous, liable, threatening, bully,

847
00:43:55,760 --> 00:43:59,440
Speaker 2: et cetera. The recipient party can request the jurisdiction be

848
00:43:59,600 --> 00:44:01,759
Speaker 2: in the state where they live. Not the state where

849
00:44:01,760 --> 00:44:04,720
Speaker 2: you committed the act. The internet is not a protected place.

850
00:44:05,120 --> 00:44:07,359
Speaker 2: So I'm going to go in a limb and say

851
00:44:07,360 --> 00:44:09,759
Speaker 2: that she's been getting a lot of threatening messages and

852
00:44:09,800 --> 00:44:12,560
Speaker 2: she's letting everybody know that she knows the law. As

853
00:44:12,640 --> 00:44:17,120
Speaker 2: far as that goes, well decimations. Listen.

854
00:44:17,239 --> 00:44:21,239
Speaker 1: I know that like nance's hardcore, like top mom and

855
00:44:21,280 --> 00:44:24,479
Speaker 1: this and that, and I think that she's shady as shit,

856
00:44:24,600 --> 00:44:28,120
Speaker 1: But I actually there is a part I know you

857
00:44:28,160 --> 00:44:29,919
Speaker 1: guys are gonna get mad if I say this, there's

858
00:44:29,960 --> 00:44:32,320
Speaker 1: a part of me that feels bad for her, only

859
00:44:32,400 --> 00:44:35,680
Speaker 1: because her parents are such disgusting people.

860
00:44:35,760 --> 00:44:38,880
Speaker 2: In my opinion that I agree with it that like.

861
00:44:38,840 --> 00:44:43,960
Speaker 1: A child being born into that environment is like bound

862
00:44:44,000 --> 00:44:45,720
Speaker 1: to not be okay in the head.

863
00:44:46,160 --> 00:44:47,399
Speaker 2: So and she was.

864
00:44:47,560 --> 00:44:49,880
Speaker 1: Nineteen when it happened, so she was an adult and

865
00:44:49,920 --> 00:44:53,880
Speaker 1: she should be you know, whatever happened, I just I

866
00:44:53,920 --> 00:44:57,480
Speaker 1: don't believe either side of the story. But I also

867
00:44:57,600 --> 00:44:59,879
Speaker 1: don't believe it was all her and the parents aren't

868
00:45:00,440 --> 00:45:03,880
Speaker 1: weren't involved at all either. There's like the whole thing

869
00:45:04,400 --> 00:45:06,200
Speaker 1: is so weird, and I could speak to it one

870
00:45:06,239 --> 00:45:09,680
Speaker 1: hundred percent because I was a teen mom. I was

871
00:45:09,719 --> 00:45:13,520
Speaker 1: even younger, as a teen mom I had parents living together,

872
00:45:14,560 --> 00:45:16,760
Speaker 1: Like I didn't live at the house for a period,

873
00:45:17,120 --> 00:45:19,359
Speaker 1: you know, when I went to college and stuff, when

874
00:45:19,400 --> 00:45:22,440
Speaker 1: I brought Maria with me, and like, I'm sorry, but

875
00:45:22,520 --> 00:45:25,080
Speaker 1: my mother would not have let thirty days go by

876
00:45:25,160 --> 00:45:26,920
Speaker 1: before she was like, you know what, I don't believe

877
00:45:26,960 --> 00:45:29,319
Speaker 1: you anymore, and stuff, like my mom would have let

878
00:45:29,600 --> 00:45:33,480
Speaker 1: like thirty hours go by. Maybe I'm serious, Like it's so,

879
00:45:34,080 --> 00:45:36,160
Speaker 1: and then the whole, the whole thing of it just

880
00:45:36,719 --> 00:45:40,480
Speaker 1: it stinks, like I just I don't know what to believe.

881
00:45:41,120 --> 00:45:45,080
Speaker 1: So also I just I just I don't really know

882
00:45:45,120 --> 00:45:47,920
Speaker 1: what to say, like she if you want to go

883
00:45:48,000 --> 00:45:51,759
Speaker 1: buy the law and everything, like she got found not

884
00:45:51,880 --> 00:45:55,919
Speaker 1: guilty of doing that crime, so we have to if

885
00:45:55,960 --> 00:45:58,879
Speaker 1: we want to respect it in other cases, we have

886
00:45:58,960 --> 00:46:02,279
Speaker 1: to respect the decision in this case as well. Well.

887
00:46:02,400 --> 00:46:06,759
Speaker 2: Yeah, and I think you know, everybody that's like criticizing her,

888
00:46:07,400 --> 00:46:10,560
Speaker 2: it's gonna be hard. I understand what she's saying. She's

889
00:46:10,680 --> 00:46:12,680
Speaker 2: trying to put a post out there because I can't

890
00:46:12,760 --> 00:46:15,400
Speaker 2: imagine the reception has been well at all in her corner.

891
00:46:15,440 --> 00:46:17,960
Speaker 2: I mean, she she cannot have that many supporters. I

892
00:46:18,080 --> 00:46:20,520
Speaker 2: just refuse to believe. I believe that she does. I

893
00:46:20,520 --> 00:46:23,840
Speaker 2: think she has more supporters after us, like, well, I

894
00:46:23,880 --> 00:46:27,120
Speaker 2: think she has four supporters after that Peacock documentary came out.

895
00:46:27,160 --> 00:46:30,279
Speaker 2: Because in my eyes as somebody that's you know, this

896
00:46:30,480 --> 00:46:33,680
Speaker 2: was like my first big true crime case was this

897
00:46:33,800 --> 00:46:38,080
Speaker 2: case when I was younger. So I'm thinking, as somebody

898
00:46:38,120 --> 00:46:41,560
Speaker 2: that's watched this case unfold for the last what like

899
00:46:42,400 --> 00:46:44,719
Speaker 2: it happened in two thousand and eight, the murder. She

900
00:46:44,800 --> 00:46:48,600
Speaker 2: went on trial a couple of years later, So it's

901
00:46:48,640 --> 00:46:49,839
Speaker 2: been a really long time.

902
00:46:49,880 --> 00:46:52,440
Speaker 1: This is twenty eleven. She was found not guilty.

903
00:46:52,760 --> 00:46:57,160
Speaker 2: Okay, So so fourteen years ago she was found not guilty. Okay,

904
00:46:57,200 --> 00:46:59,440
Speaker 2: So this is this case has been going on almost

905
00:46:59,520 --> 00:47:03,640
Speaker 2: twenty years. After I saw that Peacock documentary, I did

906
00:47:03,719 --> 00:47:06,040
Speaker 2: feel bad for her as well, because I was like, Wow,

907
00:47:06,120 --> 00:47:09,640
Speaker 2: her parents really fucking suck, and like, I believe that,

908
00:47:09,680 --> 00:47:13,080
Speaker 2: and I just think they're bouncing off of each other,

909
00:47:13,160 --> 00:47:15,200
Speaker 2: going back and forth. I think all three of them

910
00:47:15,239 --> 00:47:18,480
Speaker 2: are bad people. And I don't know, I just.

911
00:47:18,440 --> 00:47:20,799
Speaker 1: Don't know what she were we talking about a couple

912
00:47:20,840 --> 00:47:25,640
Speaker 1: of weeks ago of someone doing something terrible that had

913
00:47:25,719 --> 00:47:31,400
Speaker 1: terrible parents too, had terrible parents. Yeah, we were talking

914
00:47:31,440 --> 00:47:34,400
Speaker 1: about I don't really remember what the case was, but

915
00:47:34,480 --> 00:47:38,439
Speaker 1: we were saying, like, if you were raised by these scumbags,

916
00:47:38,520 --> 00:47:41,960
Speaker 1: like this is what's gonna happen with with the What

917
00:47:42,040 --> 00:47:44,359
Speaker 1: the hell was it? I guess what I'm getting at

918
00:47:44,440 --> 00:47:47,280
Speaker 1: is that before the Peacock documentary, I one hundred percent

919
00:47:47,360 --> 00:47:51,520
Speaker 1: thought she was guilty, and I as as people say

920
00:47:51,560 --> 00:47:54,120
Speaker 1: it was a miscarriage of justice that she was not

921
00:47:54,239 --> 00:47:57,600
Speaker 1: convicted in that crime. But you know what they the

922
00:47:57,760 --> 00:48:01,279
Speaker 1: jury cannot convict somebody if there's reasonable doubt, and there

923
00:48:01,400 --> 00:48:03,919
Speaker 1: was just reasonable doubt in that case. And like you said,

924
00:48:03,960 --> 00:48:07,239
Speaker 1: we have to respect the law. It's I mean, it's

925
00:48:07,280 --> 00:48:10,680
Speaker 1: the same. And that case got so sensationalized, just like

926
00:48:10,760 --> 00:48:12,200
Speaker 1: OJ and stuff, and it's just.

927
00:48:12,160 --> 00:48:15,080
Speaker 2: Like, okay oja OJ.

928
00:48:15,320 --> 00:48:18,759
Speaker 1: I feel like was even different because I don't I

929
00:48:18,760 --> 00:48:23,440
Speaker 1: don't think there was any reasonable doubt with OJ. That

930
00:48:23,600 --> 00:48:26,000
Speaker 1: was like just a whole other set of circumstances. There

931
00:48:26,080 --> 00:48:29,520
Speaker 1: was never like I don't know many people that'll be

932
00:48:29,640 --> 00:48:32,759
Speaker 1: like that doesn't really add up. It's like most people

933
00:48:32,840 --> 00:48:35,520
Speaker 1: are like, yeah, there was no one else that could

934
00:48:35,520 --> 00:48:38,440
Speaker 1: have been It's just it was a little bit different

935
00:48:39,280 --> 00:48:42,080
Speaker 1: and I don't like, wasn't there some shit with the

936
00:48:42,200 --> 00:48:46,600
Speaker 1: parents that they like while the kid was missing, or

937
00:48:47,760 --> 00:48:50,920
Speaker 1: something about them like having some kind of foundation to

938
00:48:50,960 --> 00:48:52,799
Speaker 1: make money and then they use the money to buy

939
00:48:52,840 --> 00:48:53,400
Speaker 1: a boat or so.

940
00:48:53,520 --> 00:48:53,840
Speaker 2: I don't know.

941
00:48:53,880 --> 00:48:56,400
Speaker 1: There was just like all of this really weird stuff

942
00:48:56,440 --> 00:48:58,239
Speaker 1: that rubbed me the wrong way, and then just not

943
00:48:58,719 --> 00:49:02,239
Speaker 1: reporting it, and certain stories about when she was a kid,

944
00:49:02,280 --> 00:49:04,120
Speaker 1: and I just thought that that was a little weird.

945
00:49:04,719 --> 00:49:07,319
Speaker 2: Let's say this was me and you I committed this

946
00:49:07,400 --> 00:49:11,960
Speaker 2: horrendous crime. You're my parents were very close. You know

947
00:49:12,040 --> 00:49:14,839
Speaker 2: I've done something like this. Are you gonna go on

948
00:49:15,000 --> 00:49:19,279
Speaker 2: every news outlet and true crime documentary talking about how

949
00:49:19,360 --> 00:49:23,000
Speaker 2: I'm the problem. I don't think you're going to publicly

950
00:49:24,080 --> 00:49:26,680
Speaker 2: go and have this whole campaign saying how I'm this

951
00:49:26,800 --> 00:49:29,399
Speaker 2: problem and I've always been a problem and everything. You'd

952
00:49:29,400 --> 00:49:31,719
Speaker 2: want to keep it private. And that's where I find

953
00:49:31,760 --> 00:49:35,879
Speaker 2: them suspicious, because they're working, like over time.

954
00:49:35,760 --> 00:49:37,919
Speaker 1: To dig her whole deeper.

955
00:49:37,640 --> 00:49:39,440
Speaker 2: Dig her in a deeper hole, you know what I'm saying,

956
00:49:40,200 --> 00:49:42,880
Speaker 2: Like her life is already ruined. You don't need to

957
00:49:42,920 --> 00:49:45,920
Speaker 2: go on every fucking documentary and say how she's a

958
00:49:45,920 --> 00:49:46,720
Speaker 2: horrible person.

959
00:49:47,840 --> 00:49:51,800
Speaker 1: Yeah, but I mean, listen, if you if I believe

960
00:49:51,920 --> 00:49:54,279
Speaker 1: that you killed my grandkid, I wouldn't really give a

961
00:49:54,280 --> 00:49:57,040
Speaker 1: fuck about like saving your name.

962
00:49:58,440 --> 00:50:01,239
Speaker 2: No, it's not saving a name. It's just about like

963
00:50:01,320 --> 00:50:03,799
Speaker 2: what are you what are you trying to accomplish? Like

964
00:50:04,480 --> 00:50:08,440
Speaker 2: this case happened so long ago, and they're still actively

965
00:50:08,520 --> 00:50:10,319
Speaker 2: going and doing all these interviews.

966
00:50:10,000 --> 00:50:14,560
Speaker 1: Because that's that's their livelihood. They're all, I mean, they're

967
00:50:14,600 --> 00:50:18,120
Speaker 1: all making money off of it. That's how they they live, and.

968
00:50:19,920 --> 00:50:21,760
Speaker 2: I mean they can't. It's not like they could.

969
00:50:21,600 --> 00:50:25,279
Speaker 1: Go to a regular job and work ever either any

970
00:50:25,320 --> 00:50:28,560
Speaker 1: of them. Their whole entire identity until the day they die,

971
00:50:28,560 --> 00:50:31,480
Speaker 1: no matter what, any even if some evidence came out

972
00:50:31,520 --> 00:50:33,880
Speaker 1: that like there was a video that cleared her of it,

973
00:50:34,000 --> 00:50:36,799
Speaker 1: Like her life is ruined and has been since she's

974
00:50:36,880 --> 00:50:40,719
Speaker 1: nineteen years old, and that could right very well be

975
00:50:40,840 --> 00:50:45,839
Speaker 1: her fault. But it also I just think that like

976
00:50:45,880 --> 00:50:50,520
Speaker 1: the parents didn't get in any trouble for for like eating.

977
00:50:50,320 --> 00:50:52,600
Speaker 2: In a bedding. I don't, I don't know.

978
00:50:53,560 --> 00:50:56,560
Speaker 1: I know I've seen Nancy act like the parents are

979
00:50:56,600 --> 00:50:57,120
Speaker 1: just like.

980
00:50:57,120 --> 00:50:59,040
Speaker 2: It was Brian Laundry we were talking about.

981
00:50:59,440 --> 00:51:04,120
Speaker 1: Oh yeah, so there's another similar situation of a very

982
00:51:04,400 --> 00:51:09,000
Speaker 1: young person that grew up with really terrible people and ultimately,

983
00:51:09,120 --> 00:51:12,400
Speaker 1: like Brian Laundry is responsible for killing Gabby Petito, but

984
00:51:12,600 --> 00:51:19,359
Speaker 1: also his family is disgusting. So you think about like

985
00:51:19,800 --> 00:51:22,759
Speaker 1: two gross people raising a kid, they're not gonna end

986
00:51:22,840 --> 00:51:24,880
Speaker 1: up being a normal person and then they're just like

987
00:51:25,000 --> 00:51:28,920
Speaker 1: barely legal and do something horrible. It shouldn't all the

988
00:51:28,920 --> 00:51:30,520
Speaker 1: blames shouldn't be on that person.

989
00:51:30,600 --> 00:51:35,279
Speaker 2: But I guess overall. You know, we've talked about her

990
00:51:35,280 --> 00:51:37,440
Speaker 2: on the show before because she was having an affair

991
00:51:37,800 --> 00:51:41,040
Speaker 2: with the married man and it wasn't a good look

992
00:51:41,080 --> 00:51:45,439
Speaker 2: for her. And I understand she's trying to revive her

993
00:51:45,480 --> 00:51:48,640
Speaker 2: image by being like, I'm gonna be this legal advocate

994
00:51:48,680 --> 00:51:52,840
Speaker 2: for LGBTQ and women's right, But how do you really

995
00:51:52,880 --> 00:51:56,600
Speaker 2: think people are going to respond to you. They're not

996
00:51:56,760 --> 00:52:01,240
Speaker 2: forgetting this case. Most people think you killed your child. Well, listen,

997
00:52:01,320 --> 00:52:04,440
Speaker 2: the bottom line is that the kid's dead and nobody

998
00:52:04,920 --> 00:52:07,880
Speaker 2: protected that kid. That's another thing too, like if you

999
00:52:08,080 --> 00:52:10,479
Speaker 2: thought your daughter was such a horrible piece of shit,

1000
00:52:10,560 --> 00:52:12,680
Speaker 2: why did you even let her take that baby out

1001
00:52:12,719 --> 00:52:15,480
Speaker 2: of the house, Like, and I guess you could say, well,

1002
00:52:15,520 --> 00:52:17,319
Speaker 2: she had custody and she was an adult in this

1003
00:52:17,400 --> 00:52:20,719
Speaker 2: and that. But I don't know, just that case, we

1004
00:52:20,800 --> 00:52:25,160
Speaker 2: could like beat that thing to death. It's just like whatever.

1005
00:52:26,200 --> 00:52:30,040
Speaker 2: I'm surprised that because she seems to be a little narcissistic,

1006
00:52:30,160 --> 00:52:32,719
Speaker 2: like it's I'm surprised that it took this long for

1007
00:52:32,760 --> 00:52:35,719
Speaker 2: her to realize that she could really capitalize on this.

1008
00:52:35,840 --> 00:52:38,799
Speaker 2: And if sixty thousand people in a couple of days

1009
00:52:38,840 --> 00:52:42,600
Speaker 2: are already interested, she's she's gonna end up being some

1010
00:52:42,800 --> 00:52:47,600
Speaker 2: kind of influencer and who knows, maybe maybe she'll be

1011
00:52:47,640 --> 00:52:50,439
Speaker 2: the next Nancy Because she's trying to compete for her job.

1012
00:52:50,480 --> 00:52:53,440
Speaker 2: I think, well, it's almost like she's like, fuck.

1013
00:52:53,280 --> 00:52:55,239
Speaker 1: You, I'm out of jail now and I'm gonna like,

1014
00:52:55,480 --> 00:52:57,239
Speaker 1: I'm gonna take your job over.

1015
00:52:58,360 --> 00:53:01,640
Speaker 2: I'm going to do your same job. I can say

1016
00:53:01,680 --> 00:53:04,880
Speaker 2: with confidence that Peacock paid her a pretty penny for

1017
00:53:04,920 --> 00:53:10,000
Speaker 2: that documentary. But I'm surprised she hasn't written a book yet,

1018
00:53:10,360 --> 00:53:13,040
Speaker 2: you know what I mean, maybe well, you know what

1019
00:53:13,120 --> 00:53:15,600
Speaker 2: I'm thinking, this is my prediction is that on the

1020
00:53:15,640 --> 00:53:18,640
Speaker 2: twentieth anniversary of the death of the Kid, the book's

1021
00:53:18,680 --> 00:53:22,040
Speaker 2: gonna come out. Yeah, So I don't know, I mean,

1022
00:53:23,480 --> 00:53:25,600
Speaker 2: I just don't know what she's trying to accomplish, like

1023
00:53:26,280 --> 00:53:29,480
Speaker 2: your your name is forever smeared as being a child killer,

1024
00:53:29,560 --> 00:53:32,520
Speaker 2: even though she's not convicted of it. I'm just saying, listen,

1025
00:53:32,920 --> 00:53:34,880
Speaker 2: her name, that's what you think about. I don't think it.

1026
00:53:35,280 --> 00:53:37,520
Speaker 2: Like I'm surprised it took her this long. I just don't.

1027
00:53:38,040 --> 00:53:41,400
Speaker 1: I don't blame her because she needs to make money

1028
00:53:41,640 --> 00:53:43,120
Speaker 1: like she had.

1029
00:53:43,320 --> 00:53:46,120
Speaker 2: She has had a job. It's not like she hasn't

1030
00:53:46,160 --> 00:53:48,080
Speaker 2: worked in twenty years. She's been working with one of

1031
00:53:48,080 --> 00:53:51,520
Speaker 2: the lawyers for her case. Yeah, but how like, I

1032
00:53:51,520 --> 00:53:54,319
Speaker 2: don't know how as much as she actually making doing that,

1033
00:53:54,440 --> 00:53:58,120
Speaker 2: You know, I don't know. All right, let's moving to

1034
00:53:58,160 --> 00:54:01,120
Speaker 2: the sectory in Iowa. So last time October, police arrived

1035
00:54:01,160 --> 00:54:03,279
Speaker 2: to this house after a child had called nine one

1036
00:54:03,360 --> 00:54:05,600
Speaker 2: one for help. When they got there, the kid was

1037
00:54:05,600 --> 00:54:07,959
Speaker 2: holding their baby brother and said that they had found

1038
00:54:08,000 --> 00:54:12,319
Speaker 2: him unconscious. So, according to this Affidavid, this baby had

1039
00:54:12,400 --> 00:54:15,319
Speaker 2: fallen into a bucket of bleach water, which resulted in

1040
00:54:15,360 --> 00:54:18,040
Speaker 2: his head being submerged in the bleach water for an

1041
00:54:18,120 --> 00:54:21,440
Speaker 2: undisclosed amount of time, and he suffered acute respiratory failure

1042
00:54:21,520 --> 00:54:24,680
Speaker 2: and a loss of consciousness as a result. So did

1043
00:54:24,719 --> 00:54:25,799
Speaker 2: the kid live?

1044
00:54:25,840 --> 00:54:28,520
Speaker 1: Because I didn't even realize that this was an old case, Like,

1045
00:54:28,840 --> 00:54:31,840
Speaker 1: why is it coming out now because they got convicted finally.

1046
00:54:32,160 --> 00:54:35,240
Speaker 2: So this is what's confusing to me, because the parents

1047
00:54:35,400 --> 00:54:38,399
Speaker 2: just got arrested this week, So why did it take

1048
00:54:38,480 --> 00:54:42,759
Speaker 2: all these months to investigate this case? But I guess

1049
00:54:42,840 --> 00:54:45,600
Speaker 2: they when they went in the house, they were looking

1050
00:54:45,640 --> 00:54:47,920
Speaker 2: for additional evidence and then they found that the house

1051
00:54:48,040 --> 00:54:50,960
Speaker 2: was just completely infested with mice and filthy and there

1052
00:54:51,040 --> 00:54:54,440
Speaker 2: was three children living in the house. But why did

1053
00:54:54,480 --> 00:54:56,600
Speaker 2: it take so long for the parents to get arrested

1054
00:54:56,920 --> 00:55:00,160
Speaker 2: for neglect? Yeah, it's it's also crazy too because you

1055
00:55:00,160 --> 00:55:02,600
Speaker 2: said that the kids called nine one one, so they

1056
00:55:02,600 --> 00:55:05,440
Speaker 2: were at home with the parents at the time, and

1057
00:55:05,480 --> 00:55:07,640
Speaker 2: they were only four and six years old, So imagine

1058
00:55:07,640 --> 00:55:09,640
Speaker 2: a four and a six year old knowing that something

1059
00:55:09,760 --> 00:55:13,279
Speaker 2: was wrong before the adults in the house. And the

1060
00:55:13,360 --> 00:55:15,759
Speaker 2: thing it really pissed me off about this story was

1061
00:55:15,760 --> 00:55:22,520
Speaker 2: that apparently the Dyfist people were investigating this family four

1062
00:55:22,640 --> 00:55:27,319
Speaker 2: other times for four months, and not for four times

1063
00:55:27,000 --> 00:55:32,800
Speaker 2: for four months, they were investigating them prior to this arrest.

1064
00:55:33,080 --> 00:55:36,480
Speaker 2: So it takes so long if children.

1065
00:55:36,120 --> 00:55:40,880
Speaker 1: Were I don't know, but it's really it's really upsetting.

1066
00:55:41,000 --> 00:55:45,640
Speaker 1: So I'm just I that system is so broken and

1067
00:55:45,680 --> 00:55:47,839
Speaker 1: you just hear about this stuff all the time. And

1068
00:55:48,000 --> 00:55:53,160
Speaker 1: I guess at the same time, it's just a double

1069
00:55:53,239 --> 00:55:56,600
Speaker 1: edged thing, because you do want people to not overly

1070
00:55:56,680 --> 00:55:59,239
Speaker 1: jump and take people's kids away when they don't deserve too,

1071
00:55:59,239 --> 00:56:03,200
Speaker 1: because people certainly get falsely accused of things too. But

1072
00:56:03,280 --> 00:56:05,319
Speaker 1: I feel like once the moment you walk into a

1073
00:56:05,360 --> 00:56:09,560
Speaker 1: house and see that people because with rats or mice

1074
00:56:09,600 --> 00:56:13,320
Speaker 1: around and the pee and the urine is carries disease,

1075
00:56:13,440 --> 00:56:17,640
Speaker 1: and that's enough reason to take away the children in

1076
00:56:17,719 --> 00:56:21,120
Speaker 1: my opinion. And I don't know what happened to this baby,

1077
00:56:21,239 --> 00:56:25,120
Speaker 1: just inhaling bleach and getting it on that little baby, I.

1078
00:56:25,719 --> 00:56:28,319
Speaker 2: Would say the kid did not die, because then the

1079
00:56:28,440 --> 00:56:31,120
Speaker 2: chargers would be different. Their chargers were child in dangerous.

1080
00:56:31,239 --> 00:56:35,360
Speaker 1: But I mean bleach could cause chemical burns and irritation

1081
00:56:35,520 --> 00:56:41,160
Speaker 1: of the mucous membranes for a regular adult human. Imagine

1082
00:56:41,160 --> 00:56:45,960
Speaker 1: on like that delicate baby skin. It's so it's so gross, No,

1083
00:56:46,000 --> 00:56:48,200
Speaker 1: it really is. I mean, they like on drugs or

1084
00:56:48,200 --> 00:56:50,040
Speaker 1: something with the excuse.

1085
00:56:51,080 --> 00:56:53,920
Speaker 2: I don't I would assume they're on drugs, because why

1086
00:56:54,320 --> 00:56:56,960
Speaker 2: are your children They assumingly were in the house when

1087
00:56:57,040 --> 00:56:59,040
Speaker 2: nine one one got there. So why is your kid

1088
00:56:59,160 --> 00:57:02,560
Speaker 2: calling the cops when you're in the house. And how

1089
00:57:02,680 --> 00:57:05,799
Speaker 2: is it kid unattended in bleach water for a quote

1090
00:57:05,880 --> 00:57:09,799
Speaker 2: undisclosed amount of time? How long does that mean? I

1091
00:57:09,840 --> 00:57:11,480
Speaker 2: have no idea.

1092
00:57:12,160 --> 00:57:16,120
Speaker 1: Okay, I hate talking about stories like this. Let's get

1093
00:57:16,160 --> 00:57:20,600
Speaker 1: on to some really important medical news and people who

1094
00:57:20,640 --> 00:57:21,520
Speaker 1: poop their pants.

1095
00:57:21,800 --> 00:57:25,320
Speaker 2: Yeah, this is a really important story. It's breaking news.

1096
00:57:26,160 --> 00:57:28,000
Speaker 2: The chick went on TikTok and said she was on

1097
00:57:28,040 --> 00:57:30,360
Speaker 2: a very romantic date with this guy. It was their

1098
00:57:30,400 --> 00:57:33,320
Speaker 2: tenth date and she felt pretty comfortable with him. So

1099
00:57:33,600 --> 00:57:35,760
Speaker 2: on this date, they had picked up sandwiches and they

1100
00:57:35,800 --> 00:57:37,640
Speaker 2: were sitting on blankets in the back of the car

1101
00:57:37,800 --> 00:57:41,040
Speaker 2: watching the sunset. She said, at that moment, she decided

1102
00:57:41,040 --> 00:57:45,480
Speaker 2: to let out a quote small toute, and unfortunately, afterwards

1103
00:57:45,480 --> 00:57:47,160
Speaker 2: she realized that she should her pants.

1104
00:57:48,040 --> 00:57:55,720
Speaker 1: That's called a shark, my kid's new favorite word. I

1105
00:57:55,760 --> 00:57:59,080
Speaker 1: guess I guess that this has happened to everyone at

1106
00:57:59,080 --> 00:57:59,920
Speaker 1: some point, and they're like.

1107
00:58:00,760 --> 00:58:01,880
Speaker 2: This has not happened to me.

1108
00:58:03,480 --> 00:58:05,480
Speaker 1: Oh well, I guess I won't say it happened to.

1109
00:58:05,400 --> 00:58:09,360
Speaker 2: Me either, Well, now you have to share with the class.

1110
00:58:10,680 --> 00:58:13,200
Speaker 1: It's happened to me a couple times, honestly when I

1111
00:58:13,200 --> 00:58:16,160
Speaker 1: was a couple of times, Yes, when I was younger,

1112
00:58:16,200 --> 00:58:18,680
Speaker 1: I used to just get like, I don't know, I

1113
00:58:18,800 --> 00:58:22,800
Speaker 1: just had really really bad like I would just get

1114
00:58:22,840 --> 00:58:25,000
Speaker 1: these really bad stomach pains out of the blue and

1115
00:58:25,080 --> 00:58:27,200
Speaker 1: have to go to the bathroom right away. It was

1116
00:58:27,240 --> 00:58:29,600
Speaker 1: probably because I had like an asshole boyfriend that was

1117
00:58:29,600 --> 00:58:33,160
Speaker 1: giving me anxiety all the time or something. But it's

1118
00:58:33,240 --> 00:58:35,920
Speaker 1: happened to me a couple times, honestly, and that's not

1119
00:58:35,960 --> 00:58:38,440
Speaker 1: even bad compared to some people.

1120
00:58:38,560 --> 00:58:38,720
Speaker 2: Right.

1121
00:58:39,160 --> 00:58:41,960
Speaker 1: But I think the key is is that the guy

1122
00:58:42,080 --> 00:58:46,800
Speaker 1: that she was dating is a first responder, so which

1123
00:58:46,840 --> 00:58:48,800
Speaker 1: I feel like is kind of the best person to

1124
00:58:48,920 --> 00:58:52,080
Speaker 1: date because they just they don't really get grossed out

1125
00:58:52,120 --> 00:58:54,680
Speaker 1: by much because they see so much crazy shit at

1126
00:58:54,680 --> 00:58:57,880
Speaker 1: their job that they're kind of like, Okay, So if

1127
00:58:57,880 --> 00:58:59,960
Speaker 1: I if I was hanging out with Gabe and I'm

1128
00:59:00,000 --> 00:59:02,400
Speaker 1: it's just like, Babe, I just shit myself by accident,

1129
00:59:02,480 --> 00:59:04,400
Speaker 1: like we have to go home, he would just be

1130
00:59:04,560 --> 00:59:06,240
Speaker 1: like he wouldn't be grossed out.

1131
00:59:06,280 --> 00:59:08,080
Speaker 2: He would just be like, Okay, whatever, let's do this.

1132
00:59:08,240 --> 00:59:11,640
Speaker 2: And you know, and in this case, they she fully

1133
00:59:11,680 --> 00:59:14,400
Speaker 2: admitted to doing it, and they just started laughing about

1134
00:59:14,400 --> 00:59:17,880
Speaker 2: it because it was it's ridiculous, you know, but he

1135
00:59:18,000 --> 00:59:19,880
Speaker 2: jumped into action because he knew it's too.

1136
00:59:20,280 --> 00:59:22,520
Speaker 1: The best part is that she said she was wearing

1137
00:59:22,560 --> 00:59:25,520
Speaker 1: a one piece jumpsuit and it was trapped in there,

1138
00:59:25,560 --> 00:59:28,840
Speaker 1: so she took off her whole outfit. Like this is

1139
00:59:28,880 --> 00:59:30,760
Speaker 1: the kind of thing that you're like, Okay, you know,

1140
00:59:30,800 --> 00:59:33,720
Speaker 1: these people are meant to be together, because after ten dates,

1141
00:59:33,760 --> 00:59:36,040
Speaker 1: like you're getting more comfortable with a person, but you're

1142
00:59:36,080 --> 00:59:41,320
Speaker 1: still not like in pooping in front of them mode yet, right,

1143
00:59:41,480 --> 00:59:45,560
Speaker 1: And this lady like not only pooped in front of him,

1144
00:59:45,600 --> 00:59:48,920
Speaker 1: but then like took off her whole entire jumpsuit and

1145
00:59:48,960 --> 00:59:51,320
Speaker 1: got naked in front of him, and he gave her

1146
00:59:51,320 --> 00:59:53,280
Speaker 1: a blanket, wrapped her up, and like helped take her

1147
00:59:53,280 --> 00:59:57,080
Speaker 1: home and stuff. But could you imagine just like leaving

1148
00:59:57,080 --> 00:59:58,960
Speaker 1: this jumpsuit at the side of the road that's like

1149
00:59:59,000 --> 01:00:01,360
Speaker 1: filled with shit people, Well, people that clean up the

1150
01:00:01,440 --> 01:00:03,600
Speaker 1: roads are probably finding like really neat stuff.

1151
01:00:03,640 --> 01:00:06,440
Speaker 2: I'll tell you that. Well, now they've been together for

1152
01:00:06,520 --> 01:00:09,840
Speaker 2: six years and they are engaged. They've been able to

1153
01:00:09,880 --> 01:00:12,480
Speaker 2: make light of this situation, her friends and family started

1154
01:00:12,520 --> 01:00:15,600
Speaker 2: calling her poopy butt, and then whenever one of them

1155
01:00:15,640 --> 01:00:17,840
Speaker 2: in the couple says that their stomach hurts, they just

1156
01:00:17,920 --> 01:00:20,080
Speaker 2: call each other poopy butt. That's great.

1157
01:00:20,120 --> 01:00:22,880
Speaker 1: She could probably get like her wedding sponsored by Emodium

1158
01:00:22,960 --> 01:00:23,800
Speaker 1: ad or something.

1159
01:00:23,960 --> 01:00:24,200
Speaker 2: Yeah.

1160
01:00:24,240 --> 01:00:29,280
Speaker 1: Probably Wait, speaking of first responders, a funny story. I

1161
01:00:29,320 --> 01:00:33,680
Speaker 1: totally forgot to tell you this. So this weekend, I

1162
01:00:34,120 --> 01:00:36,320
Speaker 1: like my parents come over like once a month, and

1163
01:00:36,520 --> 01:00:38,480
Speaker 1: I cook like a big dinner and stuff like that.

1164
01:00:38,680 --> 01:00:41,800
Speaker 1: And of course Maria and Ricky were too cool guy

1165
01:00:41,840 --> 01:00:43,480
Speaker 1: to come over, so they weren't here.

1166
01:00:43,880 --> 01:00:46,440
Speaker 2: I had six and nine of the boarding. It's like

1167
01:00:46,480 --> 01:00:50,080
Speaker 2: dinner tonight. You know, I need more notice than that.

1168
01:00:50,080 --> 01:00:53,440
Speaker 1: That doesn't that doesn't matter, all right. So anyway, so

1169
01:00:54,400 --> 01:00:59,160
Speaker 1: I was cooking chicken palm, and I was cooking the

1170
01:00:59,200 --> 01:01:01,520
Speaker 1: pasta to go with the chicken parm on the oven.

1171
01:01:01,640 --> 01:01:02,680
Speaker 2: So we're in my kitchen.

1172
01:01:03,560 --> 01:01:07,040
Speaker 1: Gabe is sitting on the side of the island where

1173
01:01:07,080 --> 01:01:10,160
Speaker 1: the refrigerator is, and Louie's standing on the other side,

1174
01:01:10,320 --> 01:01:12,360
Speaker 1: and he's kind of talking to me as I'm cooking,

1175
01:01:12,400 --> 01:01:15,640
Speaker 1: and we're talking to Gabe. So I had this chicken

1176
01:01:15,680 --> 01:01:18,920
Speaker 1: palm in the oven. I take it out of the oven,

1177
01:01:19,680 --> 01:01:23,000
Speaker 1: and I and it was on a cookie sheet. I

1178
01:01:23,080 --> 01:01:24,520
Speaker 1: take it out of the oven, and I put it

1179
01:01:24,560 --> 01:01:27,480
Speaker 1: on top of the stove, and I turn around and

1180
01:01:27,520 --> 01:01:31,960
Speaker 1: I look over and the parchment paper is literally on fire,

1181
01:01:32,200 --> 01:01:33,440
Speaker 1: like a flame fire.

1182
01:01:34,240 --> 01:01:36,560
Speaker 2: And I'm like, so, me and Louis look at it

1183
01:01:36,640 --> 01:01:37,200
Speaker 2: the same time.

1184
01:01:37,240 --> 01:01:39,680
Speaker 1: But I don't scream or anything, because I'm like, oh

1185
01:01:39,680 --> 01:01:41,680
Speaker 1: my god, Gabe's gonna yell at me so bad. Right,

1186
01:01:42,200 --> 01:01:44,360
Speaker 1: So I go over there and I like grab it

1187
01:01:44,400 --> 01:01:47,080
Speaker 1: and essentially like smother it with my hands. My hand's

1188
01:01:47,120 --> 01:01:51,560
Speaker 1: fucking destroyed and burned, right, And the whole entire time,

1189
01:01:51,720 --> 01:01:55,200
Speaker 1: Gabe is sitting there like literally he's he's two feet

1190
01:01:55,200 --> 01:01:58,440
Speaker 1: away from this happening. He didn't look up, he didn't

1191
01:01:58,480 --> 01:02:00,600
Speaker 1: notice it happened. And he's sitting and they're playing on

1192
01:02:00,640 --> 01:02:03,760
Speaker 1: his phone, and me and Louie were like cracking up laughing.

1193
01:02:03,800 --> 01:02:05,800
Speaker 1: He didn't even ask why we were laughing. He didn't

1194
01:02:05,800 --> 01:02:08,240
Speaker 1: turn his head. We were just we were dying. We're like,

1195
01:02:09,960 --> 01:02:12,280
Speaker 1: so then later in the dinner, you know, because when

1196
01:02:12,320 --> 01:02:14,360
Speaker 1: you burn yourself, it's like it kind of hurts. And

1197
01:02:14,360 --> 01:02:16,520
Speaker 1: then all of a sudden like within a half hour,

1198
01:02:16,560 --> 01:02:19,160
Speaker 1: you're like, oh, this is the worst pain ever, you know.

1199
01:02:19,720 --> 01:02:21,960
Speaker 1: So I'm sitting there and he's like, what happened? And

1200
01:02:22,000 --> 01:02:24,400
Speaker 1: I just was like, oh, you didn't notice that I

1201
01:02:24,480 --> 01:02:26,840
Speaker 1: caught the kitchen and on fire right in front of

1202
01:02:26,880 --> 01:02:28,919
Speaker 1: your face, and like we were just laughing so hard.

1203
01:02:28,920 --> 01:02:30,880
Speaker 1: And he's like, I don't want to know, and I

1204
01:02:30,880 --> 01:02:33,040
Speaker 1: was like, you should know because you were sitting right there.

1205
01:02:33,080 --> 01:02:35,280
Speaker 2: It happened like me and Louie were dying.

1206
01:02:35,320 --> 01:02:37,400
Speaker 1: We were like, he should If that was on tape,

1207
01:02:37,400 --> 01:02:39,000
Speaker 1: that would have been like people would have thought it

1208
01:02:39,040 --> 01:02:41,160
Speaker 1: was a setup that he just didn't even pay attention.

1209
01:02:41,240 --> 01:02:43,320
Speaker 2: It was great. I mean, when he's on his phone,

1210
01:02:43,360 --> 01:02:44,360
Speaker 2: he's pretty zoned out.

1211
01:02:44,600 --> 01:02:48,480
Speaker 1: He's the worst. I feel like I could like text

1212
01:02:48,560 --> 01:02:51,920
Speaker 1: and post and have a conversation with three people and

1213
01:02:52,000 --> 01:02:55,520
Speaker 1: still have a conversation with him, and he just like can't.

1214
01:02:55,920 --> 01:02:58,240
Speaker 1: He can't like walk and chew gum at the same time.

1215
01:02:58,280 --> 01:03:02,360
Speaker 1: It's so funny. All right, anyway, get into the next

1216
01:03:02,360 --> 01:03:04,720
Speaker 1: story because this is a good one, all right.

1217
01:03:04,800 --> 01:03:07,760
Speaker 2: So recently this story came up about a Scottish woman

1218
01:03:07,800 --> 01:03:10,320
Speaker 2: who thought she had a burst appendix, only to find

1219
01:03:10,360 --> 01:03:12,440
Speaker 2: out that she was pregnant, and I guess when this

1220
01:03:12,520 --> 01:03:16,000
Speaker 2: story was circulating, this case from nineteen eighty eight resurface,

1221
01:03:16,040 --> 01:03:19,680
Speaker 2: which is absolutely insane, but in something that kind of

1222
01:03:19,720 --> 01:03:23,080
Speaker 2: has nothing kinda has nothing to do with this case,

1223
01:03:23,120 --> 01:03:25,280
Speaker 2: but like it also is a good story, so we'll

1224
01:03:25,320 --> 01:03:28,280
Speaker 2: share it. Yeah, in South Africa, this fifteen year old

1225
01:03:28,280 --> 01:03:30,800
Speaker 2: girl was admitted to the hospital for abdominal pain. So

1226
01:03:30,880 --> 01:03:32,840
Speaker 2: of course, if you're a woman and you've ever gone

1227
01:03:32,880 --> 01:03:35,520
Speaker 2: to the emergency room for abdominal pain, the first thing

1228
01:03:35,520 --> 01:03:37,880
Speaker 2: they're gonna do is give you a pregnancy test. So

1229
01:03:38,200 --> 01:03:40,760
Speaker 2: she gets a pregnancy test and it's revealed that she

1230
01:03:40,920 --> 01:03:45,200
Speaker 2: is nine months pregnant. So you must be thinking, how

1231
01:03:45,280 --> 01:03:47,560
Speaker 2: are you you know, nine months pregnant and don't have

1232
01:03:47,600 --> 01:03:50,600
Speaker 2: any idea. Well, this case is pretty unusual based on

1233
01:03:50,680 --> 01:03:53,880
Speaker 2: what's going on in this particular girl's body. Yeah, so

1234
01:03:53,960 --> 01:03:56,600
Speaker 2: she's fifteen and they say you're.

1235
01:03:56,560 --> 01:04:01,640
Speaker 1: Nine months pregnant, and she's just like, I can't be pregnant. Why, oh,

1236
01:04:01,720 --> 01:04:06,200
Speaker 1: because I don't have a vagina so that's crazy, and

1237
01:04:06,200 --> 01:04:08,320
Speaker 1: they're like, what do you mean. Oh, she was born

1238
01:04:08,360 --> 01:04:11,080
Speaker 1: with a condition called vaginal atresia, which is when the

1239
01:04:11,200 --> 01:04:15,360
Speaker 1: vagina doesn't properly form right, and in most cases, if

1240
01:04:15,360 --> 01:04:17,439
Speaker 1: a baby is born with something like that, they could

1241
01:04:17,480 --> 01:04:20,080
Speaker 1: fix it. But they didn't fix it in this woman.

1242
01:04:20,200 --> 01:04:23,120
Speaker 1: So she had no vaginal opening to the point where

1243
01:04:23,160 --> 01:04:26,200
Speaker 1: she tried to have sex a couple times. I mean,

1244
01:04:26,240 --> 01:04:28,280
Speaker 1: she's fifteen years old too, but tried to have sex

1245
01:04:28,480 --> 01:04:30,480
Speaker 1: a bunch of times and then just decided that her

1246
01:04:30,480 --> 01:04:32,640
Speaker 1: preference was oral sex because.

1247
01:04:32,680 --> 01:04:33,880
Speaker 2: She was able to do that.

1248
01:04:34,880 --> 01:04:37,800
Speaker 1: And I can't even believe that this is like a

1249
01:04:37,840 --> 01:04:40,680
Speaker 1: case written up in a medical journal, because it just

1250
01:04:40,760 --> 01:04:44,400
Speaker 1: really is so outrageous. So apparently she was giving the

1251
01:04:44,440 --> 01:04:48,640
Speaker 1: guy a blowjob and swallowed, and then her ex boyfriend

1252
01:04:48,720 --> 01:04:52,600
Speaker 1: had walked in soon afterwards and found out about it

1253
01:04:53,040 --> 01:04:56,240
Speaker 1: and started stabbing her. And when he stabbed her in

1254
01:04:56,280 --> 01:05:00,160
Speaker 1: the stomach, the seaman left her stomach, made its way

1255
01:05:00,280 --> 01:05:05,640
Speaker 1: into her abdominal and pelvic cavity, and then it impregnated her.

1256
01:05:05,720 --> 01:05:09,640
Speaker 1: It made its way down near her ovary somehow got

1257
01:05:09,720 --> 01:05:12,080
Speaker 1: into her fallopian tube and impregnated her.

1258
01:05:12,120 --> 01:05:13,960
Speaker 2: I still cannot believe that this is true.

1259
01:05:14,520 --> 01:05:19,320
Speaker 1: I just found so it's so and it's so outrageous.

1260
01:05:19,440 --> 01:05:21,520
Speaker 1: This is and this is like the theory of how

1261
01:05:21,560 --> 01:05:25,080
Speaker 1: she got pregnant because they don't know otherwise how it

1262
01:05:25,160 --> 01:05:28,080
Speaker 1: was possible. You know, I need to really like do

1263
01:05:28,200 --> 01:05:30,200
Speaker 1: a deep dive into this case because I think that

1264
01:05:30,320 --> 01:05:34,240
Speaker 1: this explanation is outrageous. So so then people bring up

1265
01:05:34,280 --> 01:05:36,760
Speaker 1: the fact, well, the stomach acid is you know, you

1266
01:05:36,760 --> 01:05:39,720
Speaker 1: have hydrochloric acid inside of your stomach and it's so

1267
01:05:39,800 --> 01:05:42,120
Speaker 1: strong that it would kill the sperm and they wouldn't

1268
01:05:42,120 --> 01:05:44,600
Speaker 1: be able to live. But then the doctors are saying, yeah,

1269
01:05:44,640 --> 01:05:46,960
Speaker 1: but she was living in it. She was living in

1270
01:05:47,000 --> 01:05:49,680
Speaker 1: South Africa, and she was malnourished and she didn't have

1271
01:05:50,080 --> 01:05:53,680
Speaker 1: preper stomach acid production and that's what caused the sperm

1272
01:05:53,800 --> 01:05:57,320
Speaker 1: to survive. And like, I guess in theory that this

1273
01:05:57,480 --> 01:06:02,880
Speaker 1: is possible, weirder things have happen. I would be more

1274
01:06:02,920 --> 01:06:05,320
Speaker 1: inclined to think that there was something else going on,

1275
01:06:05,440 --> 01:06:10,360
Speaker 1: but I don't know. So we're just reporting it because

1276
01:06:10,360 --> 01:06:12,560
Speaker 1: it was in the news this week and it's it's

1277
01:06:12,600 --> 01:06:14,200
Speaker 1: it's interesting.

1278
01:06:15,040 --> 01:06:17,840
Speaker 2: And I guess because of her age and circumstances, there's

1279
01:06:17,920 --> 01:06:20,880
Speaker 2: like no possible way she could have gotten IVF and

1280
01:06:20,960 --> 01:06:25,600
Speaker 2: just I don't know it. Just this seems so like

1281
01:06:26,000 --> 01:06:29,320
Speaker 2: mythical legend to me, I'm having a hard time wrapping

1282
01:06:29,320 --> 01:06:30,280
Speaker 2: my brain around it.

1283
01:06:32,080 --> 01:06:36,600
Speaker 1: I'm thinking, I'm just saying this out loud. What could

1284
01:06:36,680 --> 01:06:41,320
Speaker 1: be more likely possibly, and I don't even know, is

1285
01:06:41,800 --> 01:06:45,120
Speaker 1: she Sometimes you could have a fistula between the ans

1286
01:06:45,160 --> 01:06:48,439
Speaker 1: and the vaginal canal, like the top of it, because

1287
01:06:48,440 --> 01:06:51,400
Speaker 1: when you have vaginal latricia, it's sometimes it's just like

1288
01:06:52,400 --> 01:06:55,080
Speaker 1: there's almost a piece of skin over the vaginal opening,

1289
01:06:55,120 --> 01:06:57,120
Speaker 1: but some of it's open at the top. If you

1290
01:06:57,120 --> 01:07:00,600
Speaker 1: could bypass it and if the rack them and the

1291
01:07:01,320 --> 01:07:04,440
Speaker 1: top of the vagina, we're communicating somehow, And she was

1292
01:07:04,480 --> 01:07:06,880
Speaker 1: having anal sex and it could have went in that way.

1293
01:07:07,000 --> 01:07:09,320
Speaker 2: But we had a case about that not too long ago.

1294
01:07:09,640 --> 01:07:13,680
Speaker 1: I just like, I feel like that would be but

1295
01:07:13,680 --> 01:07:15,800
Speaker 1: but like they would have ruled out if she had

1296
01:07:16,080 --> 01:07:18,320
Speaker 1: if she had a fictulous So I just I just

1297
01:07:18,360 --> 01:07:21,560
Speaker 1: don't know. I just think that this is so so

1298
01:07:21,880 --> 01:07:22,600
Speaker 1: far fetched.

1299
01:07:23,200 --> 01:07:24,840
Speaker 2: It's just so so far fetched.

1300
01:07:24,880 --> 01:07:28,240
Speaker 1: I mean, I guess in theory, when the ovary gets released,

1301
01:07:28,680 --> 01:07:31,600
Speaker 1: right because it's next to the fimbria ends, like you know,

1302
01:07:31,640 --> 01:07:34,800
Speaker 1: the little finger ends of the fallopian tube. When the

1303
01:07:34,840 --> 01:07:38,880
Speaker 1: ovary gets released, it is in the middle of the

1304
01:07:38,960 --> 01:07:42,680
Speaker 1: pelvic cavity, kind of unprotected for a short period of

1305
01:07:42,720 --> 01:07:45,560
Speaker 1: time before it gets into the tube. And that's how

1306
01:07:45,600 --> 01:07:49,640
Speaker 1: you can get like ectopic pregnancies not in the tube,

1307
01:07:49,640 --> 01:07:53,000
Speaker 1: but actually ones that are like in the abdomen. Okay,

1308
01:07:53,000 --> 01:07:56,360
Speaker 1: so if and like if you get stabbed in the stomach,

1309
01:07:57,440 --> 01:08:00,520
Speaker 1: it's going to pour your stomach contents into your abdomen

1310
01:08:00,560 --> 01:08:04,479
Speaker 1: and your pelvis, so it could get down there. It's

1311
01:08:04,560 --> 01:08:07,400
Speaker 1: just like, it's so outrageous to even think about it,

1312
01:08:07,520 --> 01:08:09,560
Speaker 1: Like just saying it out loud sounds crazy to me.

1313
01:08:10,160 --> 01:08:13,320
Speaker 2: Well, let's move on to another outrageous story. So out

1314
01:08:13,320 --> 01:08:15,960
Speaker 2: of middle school in Texas, students were passing around a

1315
01:08:16,040 --> 01:08:19,040
Speaker 2: needle to scrape their skin with temporary ink to give

1316
01:08:19,080 --> 01:08:20,720
Speaker 2: themselves DIY tattoos.

1317
01:08:22,479 --> 01:08:25,160
Speaker 1: This story is so wrong on so many different levels.

1318
01:08:25,880 --> 01:08:28,760
Speaker 1: These kids are in sixth grade. They're my daughter's age,

1319
01:08:28,760 --> 01:08:33,040
Speaker 1: Lilian's age, eleven years old, eleven years old, and listen,

1320
01:08:33,120 --> 01:08:36,599
Speaker 1: kids do dumb shit, So you can't like kids. Somebody's like, hey,

1321
01:08:36,640 --> 01:08:39,200
Speaker 1: let's give each other a tattoo, and they all do it.

1322
01:08:39,760 --> 01:08:42,439
Speaker 1: The problem is is that they were using a needle

1323
01:08:42,960 --> 01:08:45,799
Speaker 1: and they were sharing the same needle around the classroom,

1324
01:08:45,840 --> 01:08:49,559
Speaker 1: which is just so so bad not to mention the

1325
01:08:49,600 --> 01:08:54,400
Speaker 1: fact that they were scarring their bodies. And this boy,

1326
01:08:54,680 --> 01:08:57,160
Speaker 1: little boy, he's eleven years old, and you have to

1327
01:08:57,320 --> 01:08:59,479
Speaker 1: mention that these are children, because like, where the fuck

1328
01:08:59,520 --> 01:09:02,320
Speaker 1: were the adult in this situation that this was happening.

1329
01:09:02,720 --> 01:09:04,640
Speaker 1: I mean you could see maybe it happening for a

1330
01:09:04,680 --> 01:09:07,080
Speaker 1: minute or two and then a teacher being like, whoa, whoa, whoa,

1331
01:09:07,080 --> 01:09:10,639
Speaker 1: what's happening. No, they were unattended for quite some time.

1332
01:09:10,439 --> 01:09:13,559
Speaker 2: To do this. It was going between multiple classrooms and

1333
01:09:13,640 --> 01:09:14,720
Speaker 2: multiple students.

1334
01:09:14,760 --> 01:09:18,920
Speaker 1: This this boy engraved I Heart my Lord on his

1335
01:09:19,160 --> 01:09:23,360
Speaker 1: arm and JC on his hands, but not little that

1336
01:09:23,600 --> 01:09:28,479
Speaker 1: he's eleve entire forearms. Oh I know, it's his entire forearms.

1337
01:09:28,520 --> 01:09:31,960
Speaker 1: So I'm like, okay. In one sense, the mom should

1338
01:09:31,960 --> 01:09:35,280
Speaker 1: be like, well, at least he wasn't tattooing, you know,

1339
01:09:35,360 --> 01:09:37,639
Speaker 1: his girlfriend's name or something stupid.

1340
01:09:37,680 --> 01:09:41,200
Speaker 2: He was saying I Heart Jesus right a year when

1341
01:09:41,280 --> 01:09:45,360
Speaker 2: Mark Wahlberg does this and puts Nicole forever, I think

1342
01:09:45,400 --> 01:09:46,639
Speaker 2: Gabe should get that tattoo.

1343
01:09:47,160 --> 01:09:52,200
Speaker 1: So so anyway, but the other part of this disturbing

1344
01:09:52,320 --> 01:09:53,280
Speaker 1: story is what.

1345
01:09:53,439 --> 01:09:57,439
Speaker 2: Fuck is temporary ink? What are they talking about?

1346
01:09:58,120 --> 01:10:01,759
Speaker 1: You could get if you're in great anything and putting

1347
01:10:01,760 --> 01:10:04,080
Speaker 1: an open wound, and you put anything in there, it

1348
01:10:04,120 --> 01:10:06,560
Speaker 1: could leave you a lasting scar that could be pigmented.

1349
01:10:06,640 --> 01:10:09,679
Speaker 1: You could get a permanent tattoo from a pencil getting

1350
01:10:09,880 --> 01:10:13,599
Speaker 1: underneath your skin. Like what is invisible ink? I've never

1351
01:10:13,640 --> 01:10:17,800
Speaker 1: even heard of it unless it's like or temporary ink.

1352
01:10:18,000 --> 01:10:22,000
Speaker 2: Is it like a water based ink that washes off personally?

1353
01:10:22,400 --> 01:10:24,639
Speaker 2: But I just don't even know.

1354
01:10:24,880 --> 01:10:27,160
Speaker 1: I mean, it's just the whole entire thing is so weird.

1355
01:10:27,160 --> 01:10:30,160
Speaker 1: But if you're scraping inside your body hard enough and

1356
01:10:30,160 --> 01:10:32,519
Speaker 1: writing I Heart my Lord, and it's deep enough, it

1357
01:10:32,560 --> 01:10:36,080
Speaker 1: could leave a scar on the arm that looks like

1358
01:10:36,160 --> 01:10:36,759
Speaker 1: that forever.

1359
01:10:36,960 --> 01:10:39,840
Speaker 2: Like I don't imagine getting this call from the school

1360
01:10:39,920 --> 01:10:41,960
Speaker 2: nurse that this happened to your kid and now you

1361
01:10:41,960 --> 01:10:43,960
Speaker 2: have to go get blood work to make sure that

1362
01:10:44,000 --> 01:10:48,479
Speaker 2: they don't have any crazy infections or anything. Yeah, and I.

1363
01:10:48,439 --> 01:10:51,040
Speaker 1: Still don't they say, oh, we got the kid blood

1364
01:10:51,040 --> 01:10:53,479
Speaker 1: work and it came back negative. Well guess what, Like

1365
01:10:53,920 --> 01:10:56,160
Speaker 1: that doesn't mean that's not going to happen right away.

1366
01:10:56,280 --> 01:10:59,439
Speaker 1: That kid needs to be monitored. And don't I don't

1367
01:10:59,479 --> 01:11:01,760
Speaker 1: even know what to I I guess the likelihood of

1368
01:11:02,080 --> 01:11:05,920
Speaker 1: a classroom of eleven year olds having anything major is

1369
01:11:06,800 --> 01:11:10,599
Speaker 1: is not God, could you I just I'm thinking about

1370
01:11:10,600 --> 01:11:12,320
Speaker 1: getting a call from the nurse like that. I just

1371
01:11:12,360 --> 01:11:14,040
Speaker 1: can't even imagine that you.

1372
01:11:14,080 --> 01:11:17,040
Speaker 2: Only get them when the kids, you know, like bump

1373
01:11:17,120 --> 01:11:18,080
Speaker 2: their elbow.

1374
01:11:17,800 --> 01:11:20,960
Speaker 1: Into I get the nurse at the last school was

1375
01:11:21,160 --> 01:11:22,599
Speaker 1: literally like the worst.

1376
01:11:22,640 --> 01:11:24,680
Speaker 2: The calls every day. It was just like.

1377
01:11:26,320 --> 01:11:28,800
Speaker 1: She was on the swing and she fell and her

1378
01:11:28,920 --> 01:11:30,880
Speaker 1: knee hurts, and I'm like, okay, we'll tell her to

1379
01:11:30,920 --> 01:11:31,559
Speaker 1: shake it off.

1380
01:11:31,920 --> 01:11:35,880
Speaker 2: That's my that's my response. Well, she's really upset, can

1381
01:11:35,920 --> 01:11:36,559
Speaker 2: you come get her?

1382
01:11:36,560 --> 01:11:39,320
Speaker 1: And I'm like, she's upset because she's eight years old

1383
01:11:39,320 --> 01:11:41,559
Speaker 1: and she's upset, but yeah, and she knows that you're

1384
01:11:41,600 --> 01:11:43,160
Speaker 1: gonna call me and I'll come get her, and I'm

1385
01:11:43,200 --> 01:11:48,400
Speaker 1: just like, no, anyway, this is kind of more valid concern,

1386
01:11:48,600 --> 01:11:51,559
Speaker 1: and I I just it's just like added to the

1387
01:11:51,600 --> 01:11:53,519
Speaker 1: list of things you never think about. Oh, your kid's

1388
01:11:53,520 --> 01:11:55,160
Speaker 1: gonna go to school and then you're gonna get a

1389
01:11:55,160 --> 01:11:57,400
Speaker 1: call that they were exposed to a bloodborne pathogen that

1390
01:11:57,479 --> 01:12:01,479
Speaker 1: day or something like what the fuck? And it's like,

1391
01:12:01,680 --> 01:12:04,040
Speaker 1: are they doing I know they said they fire, did

1392
01:12:04,080 --> 01:12:06,080
Speaker 1: they fire the teacher or so suspended.

1393
01:12:06,640 --> 01:12:09,720
Speaker 2: I mean I don't know. I guess kids could hide it.

1394
01:12:10,120 --> 01:12:12,759
Speaker 2: I mean you hide notes, but that many children headed

1395
01:12:13,160 --> 01:12:16,400
Speaker 2: or hid it between multiple classrooms and multiple teachers.

1396
01:12:16,400 --> 01:12:18,719
Speaker 1: I did say, oh, it said that there was more

1397
01:12:18,720 --> 01:12:21,839
Speaker 1: than a dozen parents said their children were inked.

1398
01:12:22,320 --> 01:12:24,240
Speaker 2: Yeah, so they don't Yeah, I wanted to close up

1399
01:12:24,280 --> 01:12:26,320
Speaker 2: with that, which is they don't know the exact number

1400
01:12:26,360 --> 01:12:28,599
Speaker 2: of children that partook in this. But yeah, at least

1401
01:12:28,640 --> 01:12:32,559
Speaker 2: a dozen parents have complained. So that's that's really great.

1402
01:12:33,439 --> 01:12:38,000
Speaker 2: It's all right, Well, let's move on to Questions of

1403
01:12:38,040 --> 01:12:40,000
Speaker 2: the Day. Every Friday at the at Mother Knows Death

1404
01:12:40,040 --> 01:12:42,120
Speaker 2: Instagram account, you guys can head over to our story

1405
01:12:42,160 --> 01:12:44,920
Speaker 2: and ask whatever questions you want. First, do you think

1406
01:12:44,960 --> 01:12:46,760
Speaker 2: AI will ever do autopsies?

1407
01:12:47,720 --> 01:12:49,920
Speaker 1: I think there's a lot of programs now that exists

1408
01:12:50,000 --> 01:12:55,960
Speaker 1: for that. They're called virtual autopsies. I don't think there

1409
01:12:56,040 --> 01:12:59,880
Speaker 1: is good I mean, this is my thing. Especially with

1410
01:13:00,120 --> 01:13:02,080
Speaker 1: doing autopsies, you have to think that a lot of

1411
01:13:02,120 --> 01:13:08,759
Speaker 1: it is for helping medical students pathology residents learn how

1412
01:13:08,840 --> 01:13:12,479
Speaker 1: to do other things and learn about medicine. So if

1413
01:13:12,960 --> 01:13:16,600
Speaker 1: surgery students, for example, are just doing virtual stuff, like

1414
01:13:16,680 --> 01:13:19,519
Speaker 1: they're not going to be doing virtual surgery, they're always

1415
01:13:19,560 --> 01:13:21,519
Speaker 1: going to have to be going in and cutting the

1416
01:13:21,600 --> 01:13:23,800
Speaker 1: organs with their hands and like looking at things and

1417
01:13:23,840 --> 01:13:28,280
Speaker 1: seeing when things are abnormal. And it's definitely great to

1418
01:13:28,360 --> 01:13:31,519
Speaker 1: have the advancements for sure in some circumstances. But it's

1419
01:13:31,600 --> 01:13:35,160
Speaker 1: just it's nothing like the real thing, and I'm not

1420
01:13:35,240 --> 01:13:37,320
Speaker 1: sure that it would ever get to the point where

1421
01:13:37,360 --> 01:13:41,479
Speaker 1: we would never want to examine the body, especially because,

1422
01:13:42,000 --> 01:13:44,320
Speaker 1: like I was saying earlier, if we see something you

1423
01:13:44,400 --> 01:13:49,040
Speaker 1: need to take sections from microscopy. It might help make

1424
01:13:49,360 --> 01:13:53,000
Speaker 1: autopsies a little bit less gruesome. Like let's say, for example,

1425
01:13:53,080 --> 01:13:56,599
Speaker 1: the AI technology can determine that their cause of death

1426
01:13:56,720 --> 01:13:58,760
Speaker 1: was caused by something in the heart, that maybe we

1427
01:13:58,800 --> 01:14:01,200
Speaker 1: could just go to oct to the heart and take

1428
01:14:01,240 --> 01:14:04,360
Speaker 1: that out instead of examining the whole body. But there's

1429
01:14:04,360 --> 01:14:06,960
Speaker 1: so much more to it than just diagnosing death. It's

1430
01:14:06,960 --> 01:14:10,600
Speaker 1: also to help with medical students and other professions like

1431
01:14:10,640 --> 01:14:14,280
Speaker 1: mine pathology or physician's assistance or anything like that.

1432
01:14:15,520 --> 01:14:18,439
Speaker 2: Two. Why transport a body from the coroner to an

1433
01:14:18,479 --> 01:14:24,400
Speaker 2: out of county hospital for autopsy, Well, everything's different in

1434
01:14:24,439 --> 01:14:29,160
Speaker 2: every single state and even within states jurisdictions, So a

1435
01:14:29,200 --> 01:14:33,080
Speaker 2: coroner system isn't the same as a medical examiner system.

1436
01:14:33,240 --> 01:14:39,479
Speaker 2: So sometimes coroners use hospitals to do the autopsies because

1437
01:14:39,520 --> 01:14:42,800
Speaker 2: they don't have their own morgue. I would say that

1438
01:14:42,800 --> 01:14:47,360
Speaker 2: that would probably be the case. So let's say, for example,

1439
01:14:48,120 --> 01:14:52,639
Speaker 2: someone dies and the coroner they look at it and think, Okay,

1440
01:14:52,760 --> 01:14:55,840
Speaker 2: this person needs a forensic autopsy. I'm going to send

1441
01:14:55,840 --> 01:14:59,120
Speaker 2: this body somewhere else so a forensic pathologist can do

1442
01:14:59,200 --> 01:14:59,799
Speaker 2: the autopsy.

1443
01:15:00,080 --> 01:15:03,759
Speaker 1: Sometimes they would do that at a hospital. We actually

1444
01:15:04,120 --> 01:15:06,680
Speaker 1: one of the hospitals I worked at, we had forensic

1445
01:15:06,720 --> 01:15:10,960
Speaker 1: cases going there and a forensic medical examiner was coming

1446
01:15:11,000 --> 01:15:16,479
Speaker 1: in to do the autopsies at the hospital. Okay, is

1447
01:15:16,520 --> 01:15:18,519
Speaker 1: that clear? Is that answering the question?

1448
01:15:19,040 --> 01:15:22,360
Speaker 2: Yeah? I think so. Okay, Okay, did you have mom

1449
01:15:22,360 --> 01:15:25,160
Speaker 2: guilt when I was younger with schooler work? And how

1450
01:15:25,200 --> 01:15:26,120
Speaker 2: did you deal with it?

1451
01:15:27,479 --> 01:15:31,240
Speaker 1: I think everybody has some kind of mom guilt, but

1452
01:15:31,280 --> 01:15:33,760
Speaker 1: I guess when I was younger, it was more like.

1453
01:15:35,600 --> 01:15:36,639
Speaker 2: I have to do this.

1454
01:15:36,880 --> 01:15:38,880
Speaker 1: I'm a single mom, and I have to do this,

1455
01:15:39,120 --> 01:15:44,519
Speaker 1: so it wasn't a ton of guilt, Whereas now, I

1456
01:15:44,600 --> 01:15:47,760
Speaker 1: like I can make more decisions, especially because I have

1457
01:15:47,800 --> 01:15:50,040
Speaker 1: another income and stuff that I could be like, all right,

1458
01:15:50,080 --> 01:15:52,840
Speaker 1: I don't always have to be gone as much or

1459
01:15:52,880 --> 01:15:56,160
Speaker 1: work as hard because that's taken time away from the

1460
01:15:56,240 --> 01:15:58,880
Speaker 1: kids that like, I don't have to be taking away

1461
01:15:58,880 --> 01:16:01,400
Speaker 1: from them, just be for my own.

1462
01:16:02,760 --> 01:16:06,280
Speaker 2: Does that make sense? Yeah? Like when I was, uh,

1463
01:16:06,680 --> 01:16:09,400
Speaker 2: I guess thirteen, you sat me down and you were like, listen,

1464
01:16:09,439 --> 01:16:11,519
Speaker 2: I'm going to get my master's degree in the next

1465
01:16:11,520 --> 01:16:13,320
Speaker 2: two years. Are gonna suck, but it's going to be

1466
01:16:13,320 --> 01:16:15,240
Speaker 2: worth it and change your life. And it did you

1467
01:16:15,240 --> 01:16:17,800
Speaker 2: know what I mean, It wasn't I'm sure it wasn't

1468
01:16:17,920 --> 01:16:20,599
Speaker 2: an easy two years for you to be at school

1469
01:16:20,640 --> 01:16:22,679
Speaker 2: and work full time and then trying to be a parent.

1470
01:16:22,840 --> 01:16:24,240
Speaker 2: It was the same time, but I was.

1471
01:16:24,240 --> 01:16:27,559
Speaker 1: A single mom and I was making fifty thousand dollars

1472
01:16:27,600 --> 01:16:30,200
Speaker 1: a year. It never was going to carry us, Like,

1473
01:16:30,240 --> 01:16:31,479
Speaker 1: it just wasn't happening.

1474
01:16:31,960 --> 01:16:33,599
Speaker 2: So I had to go back to school.

1475
01:16:33,720 --> 01:16:35,880
Speaker 1: And the only thing that I knew to make more

1476
01:16:35,960 --> 01:16:38,559
Speaker 1: money was to go back to school to get a

1477
01:16:38,600 --> 01:16:42,800
Speaker 1: bump in salary. So it just if we ever wanted

1478
01:16:42,840 --> 01:16:45,000
Speaker 1: to move out of an apartment and own a house

1479
01:16:45,080 --> 01:16:48,240
Speaker 1: and all that stuff, and like I've said earlier, like

1480
01:16:48,320 --> 01:16:50,639
Speaker 1: this is all me. I don't care what Gabe was doing,

1481
01:16:50,680 --> 01:16:52,680
Speaker 1: if I was dating him whatever, Like I was, you

1482
01:16:52,800 --> 01:16:56,040
Speaker 1: do this for yourself. So I like, if me and

1483
01:16:56,080 --> 01:16:58,120
Speaker 1: Gabe had broken up, I'd still be able to have

1484
01:16:58,160 --> 01:17:01,200
Speaker 1: my house and everything like that. So it was just

1485
01:17:01,280 --> 01:17:04,240
Speaker 1: kind of like this has to be done now. Like

1486
01:17:04,320 --> 01:17:07,760
Speaker 1: there's definitely things that I would want to do. I'm

1487
01:17:07,760 --> 01:17:10,400
Speaker 1: really into gardening or cooking or stuff. There's like classes

1488
01:17:10,439 --> 01:17:12,599
Speaker 1: I want to take. But then now I'm kind of like, well,

1489
01:17:12,600 --> 01:17:14,680
Speaker 1: I don't really have to do that. I'm going to

1490
01:17:14,720 --> 01:17:17,439
Speaker 1: take time away from my kids. It's just different when

1491
01:17:17,479 --> 01:17:20,120
Speaker 1: you have to versus not. And I think when you're

1492
01:17:20,520 --> 01:17:24,720
Speaker 1: a parent you always have to juggle that because and

1493
01:17:25,240 --> 01:17:27,760
Speaker 1: Gabe even went through this for a while when the

1494
01:17:27,840 --> 01:17:30,320
Speaker 1: kids were little, like it would be, he always wanted

1495
01:17:30,360 --> 01:17:33,880
Speaker 1: to work overtime every single time it was offered, and

1496
01:17:33,920 --> 01:17:37,679
Speaker 1: then it took him a very long time to learn that, Okay,

1497
01:17:37,760 --> 01:17:40,519
Speaker 1: maybe I don't need to work overtime all the time

1498
01:17:40,600 --> 01:17:44,160
Speaker 1: because that extra money isn't as worth as much as

1499
01:17:44,200 --> 01:17:47,479
Speaker 1: like me being around more. It's always a balance, you know.

1500
01:17:47,960 --> 01:17:50,800
Speaker 2: Yeah for sure. All right, guys, well thank you so much.

1501
01:17:50,800 --> 01:17:52,640
Speaker 2: If you have a story for us, please submit it.

1502
01:17:52,680 --> 01:17:55,240
Speaker 2: At stories at mother Knowosdeath dot com or shoot us

1503
01:17:55,240 --> 01:18:00,000
Speaker 2: a message on Instagram.

1504
01:18:00,160 --> 01:18:04,000
Speaker 1: Thank you for listening to Mother Knows Death. As a reminder,

1505
01:18:04,160 --> 01:18:07,960
Speaker 1: my training is as a pathologist's assistant. I have a

1506
01:18:08,000 --> 01:18:12,360
Speaker 1: master's level education and specialize in anatomy and pathology education.

1507
01:18:13,479 --> 01:18:15,640
Speaker 1: I am not a doctor and I have not diagnosed

1508
01:18:15,720 --> 01:18:19,360
Speaker 1: or treated anyone dead or alive without the assistance of

1509
01:18:19,400 --> 01:18:24,639
Speaker 1: a licensed medical doctor. This show, my website, and social

1510
01:18:24,680 --> 01:18:28,200
Speaker 1: media accounts are designed to educate and inform people based

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01:18:28,200 --> 01:18:32,120
Speaker 1: on my experience working in pathology, so they can make

1512
01:18:32,320 --> 01:18:37,000
Speaker 1: healthier decisions regarding their life and well being. Always remember

1513
01:18:37,040 --> 01:18:40,160
Speaker 1: that science is changing every day and the opinions expressed

1514
01:18:40,160 --> 01:18:42,840
Speaker 1: in this episode are based on my knowledge of those

1515
01:18:42,880 --> 01:18:46,639
Speaker 1: subjects at the time of publication. If you are having

1516
01:18:46,680 --> 01:18:50,640
Speaker 1: a medical problem, have a medical question, or having a

1517
01:18:50,680 --> 01:18:55,040
Speaker 1: medical emergency, please contact your physician or visit an urgent

1518
01:18:55,080 --> 01:18:57,200
Speaker 1: care center, emergency room.

1519
01:18:57,200 --> 01:18:58,000
Speaker 2: Or hospital.

1520
01:18:58,640 --> 01:19:04,360
Speaker 1: Please rate, review, and subscribe to Mother Knows Death on Apple, Spotify, YouTube,

1521
01:19:04,600 --> 01:19:06,160
Speaker 1: or anywhere you get podcasts.

1522
01:19:06,680 --> 01:19:07,080
Speaker 2: Thanks