1
00:00:08,080 --> 00:00:21,079
Speaker 1: Mother Knows Dad starring Nicole and Jemmy and Maria qk Hi.

2
00:00:21,160 --> 00:00:23,760
Speaker 1: Everyone welcome The Mother Knows Death. We have lots of

3
00:00:23,800 --> 00:00:27,400
Speaker 1: news stories to get into with you guys this week. Obviously,

4
00:00:27,520 --> 00:00:30,200
Speaker 1: by now we've all heard about the horrific school shooting

5
00:00:30,240 --> 00:00:33,720
Speaker 1: in Minnesota. Well, a bullet fragment has been found in

6
00:00:33,760 --> 00:00:36,239
Speaker 1: one of the children who went viral after saying his

7
00:00:36,280 --> 00:00:38,760
Speaker 1: friend laid on him, so we are going to talk

8
00:00:38,840 --> 00:00:42,680
Speaker 1: about that. We'll also get into another viral moment captured

9
00:00:42,680 --> 00:00:45,640
Speaker 1: on film this week at Hershey Park, an update on

10
00:00:45,680 --> 00:00:47,600
Speaker 1: a story we brought to you last week about a

11
00:00:47,640 --> 00:00:50,720
Speaker 1: mother who killed her children and her husband and herself,

12
00:00:51,360 --> 00:00:54,720
Speaker 1: a family that was awarded nearly one billion dollars because

13
00:00:54,720 --> 00:00:58,920
Speaker 1: of hospital negligence, high cocaine levels in the water in

14
00:00:59,000 --> 00:01:02,480
Speaker 1: a fancy beach. And we'll get into this really gruesome,

15
00:01:02,640 --> 00:01:07,000
Speaker 1: bizarre story about a funeral director who was taking babies home.

16
00:01:07,600 --> 00:01:10,440
Speaker 1: Then we'll finish off the episode with your questions. All

17
00:01:10,440 --> 00:01:14,000
Speaker 1: that and more. On today's episode, Let's get started with

18
00:01:14,080 --> 00:01:19,240
Speaker 1: this horrific Minnesota shooting. Like I honestly, I don't even

19
00:01:19,280 --> 00:01:22,200
Speaker 1: really want to talk about it. We've been avoiding a

20
00:01:22,240 --> 00:01:26,760
Speaker 1: lot of these mass shootings because they're so they're just

21
00:01:26,800 --> 00:01:29,720
Speaker 1: so scary as a parent and just as a human

22
00:01:29,880 --> 00:01:34,479
Speaker 1: living in America. So but I think that this particular

23
00:01:34,560 --> 00:01:36,720
Speaker 1: part of this story has interest.

24
00:01:37,240 --> 00:01:39,319
Speaker 2: Yeah. I mean, we got into this in our YouTube

25
00:01:39,360 --> 00:01:43,000
Speaker 2: live more in discussion about it on Friday, but you know,

26
00:01:43,160 --> 00:01:44,800
Speaker 2: we talked about it for about a half hour and

27
00:01:44,840 --> 00:01:46,280
Speaker 2: we just got to a point where we really, this

28
00:01:46,400 --> 00:01:48,120
Speaker 2: is so sad. We just don't want to keep getting

29
00:01:48,120 --> 00:01:50,920
Speaker 2: into it, and we can't possibly cover every single one

30
00:01:50,960 --> 00:01:54,680
Speaker 2: that happens. But what we covered on the YouTube was

31
00:01:54,720 --> 00:01:56,720
Speaker 2: just the basic facts, but what went down, and then

32
00:01:56,760 --> 00:01:59,400
Speaker 2: this manifesto from the shooter that had been posted online

33
00:01:59,440 --> 00:02:01,400
Speaker 2: in how disturb that was. And of course we have

34
00:02:01,440 --> 00:02:03,760
Speaker 2: to focus on the young victims. Who is eight year

35
00:02:03,760 --> 00:02:06,760
Speaker 2: old Fletcher Merkele and ten year old Harper Moyski. They

36
00:02:06,760 --> 00:02:10,160
Speaker 2: were killed in the incident. Eighteen others, including fifteen kids

37
00:02:10,160 --> 00:02:14,160
Speaker 2: and three adults, were injured. So one kid, Weston, he's

38
00:02:14,200 --> 00:02:16,200
Speaker 2: in fifth grade. He has gone viral on the news

39
00:02:16,240 --> 00:02:18,480
Speaker 2: and talked about how his friend shielded him and ended

40
00:02:18,560 --> 00:02:20,520
Speaker 2: up getting hit and as part of the interview, he

41
00:02:20,600 --> 00:02:23,000
Speaker 2: was saying he thought he had gunpowder on his neck,

42
00:02:23,240 --> 00:02:25,840
Speaker 2: but that ended up being a bullet fragment that just

43
00:02:25,919 --> 00:02:27,120
Speaker 2: missed a vital artery.

44
00:02:27,800 --> 00:02:31,880
Speaker 1: Yeah, so I don't know exactly how that went down

45
00:02:32,040 --> 00:02:35,280
Speaker 1: as far as them bringing him to the hospital, but

46
00:02:35,919 --> 00:02:39,320
Speaker 1: he did because was I mean, I would assume that

47
00:02:39,320 --> 00:02:43,080
Speaker 1: that interview wasn't directly after the shooting occurred, right, It

48
00:02:43,160 --> 00:02:46,640
Speaker 1: had to be some time later, So there was some

49
00:02:46,880 --> 00:02:50,600
Speaker 1: point that they decided to bring their son to the

50
00:02:50,600 --> 00:02:55,399
Speaker 1: hospital to get checked and if he didn't have anything,

51
00:02:55,480 --> 00:02:57,160
Speaker 1: I mean, he had to have some kind of an

52
00:02:57,320 --> 00:02:59,960
Speaker 1: entry wound of some sorts in order for the fragment

53
00:03:00,120 --> 00:03:03,680
Speaker 1: to get inside of his body. But what happened was

54
00:03:03,720 --> 00:03:07,000
Speaker 1: when they did imaging, they saw that it was within

55
00:03:07,240 --> 00:03:12,000
Speaker 1: millimeters of his carotid artery, which as we know, is

56
00:03:12,040 --> 00:03:16,080
Speaker 1: the largest artery that is bringing blood right from the

57
00:03:16,120 --> 00:03:18,960
Speaker 1: heart to the brain. And if that gets severed in

58
00:03:19,000 --> 00:03:23,480
Speaker 1: any way, a person can die at the scene just

59
00:03:23,520 --> 00:03:28,240
Speaker 1: because of massive blood loss. So he's just extremely fortunate

60
00:03:28,360 --> 00:03:32,160
Speaker 1: to have survived this and still had to get surgery

61
00:03:32,200 --> 00:03:36,960
Speaker 1: to remove this shrapnel metal fragment from his neck. But

62
00:03:37,120 --> 00:03:41,800
Speaker 1: luckily it's not going to cause him any long term complications.

63
00:03:42,800 --> 00:03:45,120
Speaker 2: It's just like horrific that you know, this kid already

64
00:03:45,160 --> 00:03:47,920
Speaker 2: has to go through this, and obviously he wasn't the

65
00:03:47,960 --> 00:03:50,320
Speaker 2: full bullet didn't go in his body, thank goodness. But

66
00:03:50,520 --> 00:03:52,280
Speaker 2: you know, he still has to get surgery, he still

67
00:03:52,280 --> 00:03:54,240
Speaker 2: has to go through the trauma of being in the

68
00:03:54,320 --> 00:03:57,440
Speaker 2: room that they the trauma of his friend shielding him

69
00:03:57,440 --> 00:04:00,920
Speaker 2: and getting shot as well. It's disgusting to even think about, Well,

70
00:04:01,000 --> 00:04:01,960
Speaker 2: the kid that.

71
00:04:01,960 --> 00:04:04,800
Speaker 1: Was sitting next to him is one of the children

72
00:04:04,840 --> 00:04:09,080
Speaker 1: that got killed right next to him. I mean, these kids,

73
00:04:09,120 --> 00:04:12,640
Speaker 1: I just like, that's the worst part of this whole story.

74
00:04:12,680 --> 00:04:15,560
Speaker 1: I was saying this on the YouTube live that I

75
00:04:16,040 --> 00:04:18,920
Speaker 1: felt like the most horrible part of hearing this story

76
00:04:19,080 --> 00:04:22,599
Speaker 1: is that kids are talking and saying One of the

77
00:04:22,680 --> 00:04:26,520
Speaker 1: kids said that they they didn't know what to do

78
00:04:26,600 --> 00:04:29,279
Speaker 1: because they had prepared for this if someone came into

79
00:04:29,320 --> 00:04:32,919
Speaker 1: their school and shot them, but it didn't. They weren't

80
00:04:32,960 --> 00:04:35,839
Speaker 1: prepared for church. They didn't have any drills in church.

81
00:04:36,839 --> 00:04:38,440
Speaker 2: And I'm sure that's going to change.

82
00:04:38,440 --> 00:04:41,240
Speaker 1: And just like and and my kids today, even dropping

83
00:04:41,320 --> 00:04:43,680
Speaker 1: my kids off at school today, we were talking about

84
00:04:43,720 --> 00:04:46,359
Speaker 1: there being all this grass that wasn't utilized and my

85
00:04:46,440 --> 00:04:49,240
Speaker 1: kids are like, oh, yeah, well, we go out there

86
00:04:49,279 --> 00:04:52,919
Speaker 1: when we do shooter drills and bomb drills. It's just like,

87
00:04:53,520 --> 00:04:56,640
Speaker 1: why is this the world that we're living in right now?

88
00:04:57,920 --> 00:05:00,000
Speaker 1: So whatever, I don't even want to talk about it

89
00:05:00,080 --> 00:05:03,039
Speaker 1: because it's just like it's just like talk talk, talk,

90
00:05:03,080 --> 00:05:08,040
Speaker 1: and nothing ever gets done from both sides. Really, it's

91
00:05:08,160 --> 00:05:11,640
Speaker 1: just so frustrating, and you know, we're just gonna hear

92
00:05:11,680 --> 00:05:13,440
Speaker 1: about it again in a couple of weeks and then

93
00:05:13,440 --> 00:05:15,800
Speaker 1: we're all going to be enraged, and it's just like

94
00:05:15,920 --> 00:05:19,920
Speaker 1: a horrible cycle of abuse. So we're wishing all of

95
00:05:19,960 --> 00:05:23,440
Speaker 1: those children, well, it's a shame that all of these

96
00:05:23,520 --> 00:05:25,720
Speaker 1: kids have to deal with this. I mean, this isn't

97
00:05:25,720 --> 00:05:29,279
Speaker 1: the only kid that's undergoing surgery to remove a bullet

98
00:05:29,320 --> 00:05:33,839
Speaker 1: from their body. It's just it's absolutely terrible, and like,

99
00:05:34,120 --> 00:05:36,320
Speaker 1: how do you even go on after this? I don't know,

100
00:05:36,440 --> 00:05:40,560
Speaker 1: But let's go move on to a little and equally

101
00:05:40,680 --> 00:05:43,800
Speaker 1: is disturbing thing, maybe but a little bit lighter. As

102
00:05:43,800 --> 00:05:46,839
Speaker 1: far as this video that was going viral, it's almost unbelievable.

103
00:05:47,600 --> 00:05:49,520
Speaker 1: I watched it so many times because you're like, what

104
00:05:49,560 --> 00:05:51,320
Speaker 1: would happen if you were just sitting there and you

105
00:05:51,360 --> 00:05:52,240
Speaker 1: saw something like this.

106
00:05:52,920 --> 00:05:55,760
Speaker 2: Yeah, so at Hershey Park, this kid got separated from

107
00:05:55,800 --> 00:05:59,159
Speaker 2: his parents, somehow entered a secured area and was later

108
00:05:59,240 --> 00:06:03,000
Speaker 2: seen by many videos taken walking around on the monorail

109
00:06:03,080 --> 00:06:04,080
Speaker 2: tracks at the park.

110
00:06:05,000 --> 00:06:07,760
Speaker 1: It's just it's it's such an outrageous video to watch.

111
00:06:07,800 --> 00:06:09,800
Speaker 1: You just can't even believe that you're looking at it

112
00:06:09,839 --> 00:06:13,240
Speaker 1: with your eyes. And the coolest part is is that

113
00:06:14,279 --> 00:06:17,280
Speaker 1: this guy that was there, this dad solid and just

114
00:06:17,360 --> 00:06:20,479
Speaker 1: like somehow, like within seconds, got to the roof of

115
00:06:20,520 --> 00:06:23,000
Speaker 1: a nearby building and was able to climb up on

116
00:06:23,720 --> 00:06:27,280
Speaker 1: the rail and get this kid. Now, my first thing

117
00:06:27,320 --> 00:06:29,960
Speaker 1: when why I was watching this is obviously this kid

118
00:06:30,080 --> 00:06:32,400
Speaker 1: holds this kid like five or six years old. Yeah, young,

119
00:06:32,640 --> 00:06:36,560
Speaker 1: he's a little kid. So obviously just think about it.

120
00:06:36,880 --> 00:06:39,159
Speaker 1: If for those of you that haven't seen the video,

121
00:06:40,279 --> 00:06:42,919
Speaker 1: think about like the monorail system at Disney World. It

122
00:06:43,000 --> 00:06:45,440
Speaker 1: kind of like looks like a similar track to that.

123
00:06:46,320 --> 00:06:51,400
Speaker 1: And so it's obviously it's very high up and you're thinking, Okay,

124
00:06:51,440 --> 00:06:54,679
Speaker 1: this kid is walking on this, it's very thin. You're

125
00:06:54,800 --> 00:06:57,920
Speaker 1: just afraid that the kid's gonna fall. In general, not

126
00:06:58,000 --> 00:07:00,680
Speaker 1: even knowing like why a child would be up there

127
00:07:00,720 --> 00:07:05,320
Speaker 1: by themselves anyway. But my other concern was the guy

128
00:07:05,480 --> 00:07:10,840
Speaker 1: going up there because typically these things have a third

129
00:07:10,960 --> 00:07:14,560
Speaker 1: roil that is the electricity source for them to move,

130
00:07:15,440 --> 00:07:19,280
Speaker 1: and you can get electrocuted if you go near one

131
00:07:19,320 --> 00:07:22,040
Speaker 1: of those things. I don't know if this particular train

132
00:07:22,240 --> 00:07:25,120
Speaker 1: had a setup like that, but it has to move somehow, right,

133
00:07:25,800 --> 00:07:28,480
Speaker 1: and luckily it was off and not working that day,

134
00:07:28,600 --> 00:07:31,880
Speaker 1: so hopefully that's you know, that's why it wasn't on.

135
00:07:32,560 --> 00:07:36,120
Speaker 1: But people should definitely not be going anywhere near that thing.

136
00:07:36,840 --> 00:07:39,640
Speaker 1: So the kid, I just was thinking, Oh my god,

137
00:07:39,680 --> 00:07:41,640
Speaker 1: this kid's going to get electrocuted. This guy is going

138
00:07:41,680 --> 00:07:44,920
Speaker 1: to get electrocuted. Like it's just it's so scary and

139
00:07:45,640 --> 00:07:48,559
Speaker 1: really kind of unacceptable how it all went down.

140
00:07:49,280 --> 00:07:52,240
Speaker 2: Yeah, because the parents were saying they reported him missing

141
00:07:52,240 --> 00:07:54,960
Speaker 2: around five o'clock and this whole thing went down over

142
00:07:55,080 --> 00:07:57,440
Speaker 2: a half hour. That's a long time for a child

143
00:07:57,440 --> 00:07:58,640
Speaker 2: to be missing. Think about that.

144
00:07:58,880 --> 00:08:02,760
Speaker 1: But like her, she park put out a statement and

145
00:08:02,800 --> 00:08:06,640
Speaker 1: they they didn't really it just didn't really seem like like.

146
00:08:07,480 --> 00:08:11,000
Speaker 2: They aren't accepting the blame for it. They were taking

147
00:08:11,080 --> 00:08:14,680
Speaker 2: responsibility for a child being able to access a secured

148
00:08:14,760 --> 00:08:17,040
Speaker 2: area so easily and get on a train track.

149
00:08:17,640 --> 00:08:22,800
Speaker 1: They say, like the child was missing only twenty three minutes.

150
00:08:22,920 --> 00:08:27,000
Speaker 1: That's they said that in a statement, and then they

151
00:08:27,080 --> 00:08:31,000
Speaker 1: said the quote long time, right, Yeah, that's that's what

152
00:08:31,080 --> 00:08:33,240
Speaker 1: I was thinking. And then it says, quote, we are

153
00:08:33,320 --> 00:08:36,199
Speaker 1: grateful for the vigilance of our guests and the swift

154
00:08:36,280 --> 00:08:39,320
Speaker 1: response of our team. No, your team didn't do shit, dude.

155
00:08:39,559 --> 00:08:42,120
Speaker 2: No, A good Samaritan climbed up on the roof that

156
00:08:42,400 --> 00:08:46,400
Speaker 2: Like maybe they got people together afterwards and stuff, but

157
00:08:46,559 --> 00:08:49,720
Speaker 2: like the team, what did the team do exactly?

158
00:08:49,760 --> 00:08:54,400
Speaker 1: I don't really know, so whatever, but and we'll remain

159
00:08:55,000 --> 00:08:58,880
Speaker 1: committed to maintaining highest level of guest safety throughout Hershey Park.

160
00:08:59,320 --> 00:09:01,440
Speaker 1: And then it said it's reviewing how the boy was

161
00:09:01,480 --> 00:09:04,560
Speaker 1: able to access the closed monorail area.

162
00:09:04,720 --> 00:09:07,920
Speaker 2: Well, I was thinking about this all the times we've

163
00:09:07,960 --> 00:09:10,920
Speaker 2: been to Disney, right, like, how are they fully securing

164
00:09:11,040 --> 00:09:13,640
Speaker 2: that area? They can't fully shut it down. It's an

165
00:09:13,679 --> 00:09:16,600
Speaker 2: open space. They just put a little chain over the

166
00:09:16,640 --> 00:09:19,880
Speaker 2: walk way, right, of course, so what are they doing

167
00:09:19,880 --> 00:09:23,000
Speaker 2: They're really secure the area? I mean kids can climb,

168
00:09:23,679 --> 00:09:23,880
Speaker 2: you know.

169
00:09:24,320 --> 00:09:28,360
Speaker 1: I'm just more disturbed because what if it was working

170
00:09:29,160 --> 00:09:32,160
Speaker 1: not only the electricity being worked on and that just

171
00:09:32,200 --> 00:09:35,800
Speaker 1: being a risk, but just on moving car like that,

172
00:09:36,000 --> 00:09:39,440
Speaker 1: like they the monorail car can't just like stop like that.

173
00:09:39,960 --> 00:09:42,880
Speaker 2: Well, I guess the argument is that if it was working,

174
00:09:42,920 --> 00:09:45,600
Speaker 2: there would be so many people around that the kid

175
00:09:45,640 --> 00:09:48,240
Speaker 2: wouldn't have been unsupervised and able to get on the

176
00:09:48,280 --> 00:09:51,400
Speaker 2: track for so long. But it's just ridiculous in general.

177
00:09:52,440 --> 00:09:55,839
Speaker 1: Yeah, I mean this, this guy should get all of

178
00:09:55,880 --> 00:09:58,679
Speaker 1: the credit all all all.

179
00:09:58,840 --> 00:10:00,960
Speaker 2: The mean park absolutely s not be getting any of

180
00:10:00,960 --> 00:10:01,440
Speaker 2: the credits.

181
00:10:01,520 --> 00:10:04,240
Speaker 1: I was sitting there thinking, like if that happened to us,

182
00:10:04,280 --> 00:10:06,680
Speaker 1: that would be something that Gabe would do, Like he

183
00:10:06,679 --> 00:10:10,360
Speaker 1: would one hundred percent. I mean think about that. Most

184
00:10:10,400 --> 00:10:13,280
Speaker 1: people wouldn't do something like that. No, not at all

185
00:10:13,320 --> 00:10:15,040
Speaker 1: because they don't want to be I'd be scared to

186
00:10:15,040 --> 00:10:18,240
Speaker 1: climb up on a roof, let alone. I mean, he

187
00:10:18,480 --> 00:10:21,400
Speaker 1: just went up there and grabbed that baby like like

188
00:10:21,520 --> 00:10:24,320
Speaker 1: it was nothing. Not scared of heights, nothing, It just

189
00:10:24,440 --> 00:10:25,120
Speaker 1: was amazing.

190
00:10:25,280 --> 00:10:28,480
Speaker 2: Well, did he also know that the train wasn't running? No,

191
00:10:28,760 --> 00:10:29,480
Speaker 2: that's what's saying.

192
00:10:29,679 --> 00:10:33,240
Speaker 1: He probably didn't know that the electricity wasn't on either,

193
00:10:33,360 --> 00:10:36,599
Speaker 1: Like it, I mean, it just was like an instinctual

194
00:10:36,640 --> 00:10:39,000
Speaker 1: thing that he did and you just watch it. But

195
00:10:39,640 --> 00:10:43,200
Speaker 1: like I'm kind of disturbed. By this in a way.

196
00:10:43,320 --> 00:10:46,120
Speaker 1: I ultimately, I guess parents are in charge of watching

197
00:10:46,200 --> 00:10:49,280
Speaker 1: their kids and stuff, but yep, like I don't know.

198
00:10:49,440 --> 00:10:50,680
Speaker 1: It just kind of bothers me.

199
00:10:51,160 --> 00:10:53,920
Speaker 2: As a person who was lost at the pumpkin festival

200
00:10:53,960 --> 00:10:57,320
Speaker 2: at four years old, I would say, it's mamma ble noo,

201
00:10:57,440 --> 00:10:59,280
Speaker 2: and she's gonna be upset for us bring it up.

202
00:10:59,280 --> 00:11:00,960
Speaker 2: And I'm sure we've talked put it on here before.

203
00:11:01,400 --> 00:11:03,640
Speaker 2: But you know, it's as simple as you're in a

204
00:11:03,679 --> 00:11:06,400
Speaker 2: busy space, a kid could turn around. It doesn't necessarily

205
00:11:06,480 --> 00:11:08,920
Speaker 2: mean you're a shitty parent, but like, no, yeah, no,

206
00:11:09,040 --> 00:11:12,120
Speaker 2: the point that they're trying to say it was only

207
00:11:12,160 --> 00:11:14,880
Speaker 2: twenty three minutes, I mean, on another episode this week,

208
00:11:14,880 --> 00:11:17,360
Speaker 2: we're going to talk about the influencer Emily Kaiser, whose

209
00:11:17,400 --> 00:11:20,000
Speaker 2: son drowned. He was only, if you want to use

210
00:11:20,000 --> 00:11:23,480
Speaker 2: the word only out of his father's site for seven

211
00:11:23,520 --> 00:11:26,280
Speaker 2: to nine minutes, and look how that ended up, so

212
00:11:26,520 --> 00:11:29,920
Speaker 2: exactly only twenty three minutes. Only twenty three minutes is

213
00:11:29,920 --> 00:11:32,280
Speaker 2: an extremely long time for a child to be missing.

214
00:11:32,480 --> 00:11:34,920
Speaker 2: Thirty seconds is a really long time for a child

215
00:11:34,960 --> 00:11:36,200
Speaker 2: to not be in your sights.

216
00:11:37,280 --> 00:11:40,960
Speaker 1: So anyway, I mean, all this all ended well thank God,

217
00:11:41,120 --> 00:11:45,360
Speaker 1: and this is going to be I mean we talk

218
00:11:45,400 --> 00:11:47,760
Speaker 1: about this in the gross room sometimes because sometimes we

219
00:11:47,840 --> 00:11:52,160
Speaker 1: have these outrageous accidents that happen to kids where it's

220
00:11:52,280 --> 00:11:54,760
Speaker 1: like the scariest thing ever, but they end up surviving.

221
00:11:54,800 --> 00:11:56,560
Speaker 1: And then you think about when they're older and then

222
00:11:56,600 --> 00:11:59,280
Speaker 1: bringing it up. I mean, this is on video. Imagine

223
00:12:00,120 --> 00:12:02,160
Speaker 1: bringing this up to your kid when they're seventeen years

224
00:12:02,200 --> 00:12:05,120
Speaker 1: old and be like, oh, remember that time you went

225
00:12:05,200 --> 00:12:07,880
Speaker 1: viral for being on the monorail and someone saved your life,

226
00:12:07,920 --> 00:12:11,040
Speaker 1: you know, like, and every news source was talking about it.

227
00:12:11,040 --> 00:12:14,240
Speaker 1: It's just it. It'll be funny in a couple of years.

228
00:12:14,280 --> 00:12:16,240
Speaker 1: Just right now, it's a little bit of a sore

229
00:12:16,320 --> 00:12:17,000
Speaker 1: spottom shore.

230
00:12:17,400 --> 00:12:20,760
Speaker 2: Is this this decade's balloon boy incident of sorts?

231
00:12:20,800 --> 00:12:24,960
Speaker 1: That thing was outrageous, that story at some point, well and.

232
00:12:25,040 --> 00:12:28,000
Speaker 2: Netflix thing just dropped about it, and Ricky never heard

233
00:12:28,000 --> 00:12:29,880
Speaker 2: of it, which I just couldn't believe. And then I

234
00:12:29,920 --> 00:12:32,800
Speaker 2: was like, well, you know, the parents like allegedly made

235
00:12:32,800 --> 00:12:36,280
Speaker 2: it up. Right, It's good. It's a good hour show.

236
00:12:36,320 --> 00:12:39,480
Speaker 2: But yeah, I agree with you one hundred percent. Okay,

237
00:12:39,559 --> 00:12:41,640
Speaker 2: last week we talked about this mother who killed her

238
00:12:41,679 --> 00:12:43,760
Speaker 2: husband and two of her three children, who were eight

239
00:12:43,760 --> 00:12:46,320
Speaker 2: and six years old, before killing herself. The toddler was

240
00:12:46,400 --> 00:12:49,760
Speaker 2: unharmed and he's currently in the care of other family members.

241
00:12:50,120 --> 00:12:52,280
Speaker 2: And we went over that prior to the deaths, the

242
00:12:52,360 --> 00:12:55,120
Speaker 2: husband had been diagnosed with brain cancer. I think in

243
00:12:55,200 --> 00:12:58,720
Speaker 2: that original conversation we were speculating as to what happened

244
00:12:58,720 --> 00:13:01,120
Speaker 2: as far as was it some post partum thing. Wasn't

245
00:13:01,200 --> 00:13:04,559
Speaker 2: just being overwhelmed with the diagnosis of the brain cancer.

246
00:13:04,880 --> 00:13:07,040
Speaker 2: Some of the grocery members had pointed out that it

247
00:13:07,080 --> 00:13:09,559
Speaker 2: could just be you know, a lot of people are

248
00:13:09,600 --> 00:13:12,720
Speaker 2: caretakers and it's incredibly overwhelming and they could go through

249
00:13:12,720 --> 00:13:15,880
Speaker 2: deep depression because of that. Well, now it turns out

250
00:13:15,880 --> 00:13:18,960
Speaker 2: the mother was accused of stealing over six hundred thousand

251
00:13:19,000 --> 00:13:21,080
Speaker 2: dollars from her work just a week before.

252
00:13:22,160 --> 00:13:28,080
Speaker 1: Yeah, so obviously this has a huge impact on the story. Correct.

253
00:13:28,480 --> 00:13:30,160
Speaker 2: Well, yeah, and I say a week before. So a

254
00:13:30,240 --> 00:13:32,240
Speaker 2: police report was filed a week before, But she had

255
00:13:32,280 --> 00:13:35,360
Speaker 2: only been accused a short amount of time before this

256
00:13:35,400 --> 00:13:38,760
Speaker 2: went down, and then she wasn't providing the records to

257
00:13:39,080 --> 00:13:42,199
Speaker 2: her boss or not giving any information. Finally, she turned

258
00:13:42,200 --> 00:13:45,080
Speaker 2: over bank records, which they said were clearly doctored, and

259
00:13:45,120 --> 00:13:48,000
Speaker 2: then they filed the police report, and then a week

260
00:13:48,080 --> 00:13:49,840
Speaker 2: later the murder suicide happened.

261
00:13:50,040 --> 00:13:53,240
Speaker 1: Yeah, and from a business owner perspective, it kind of

262
00:13:53,280 --> 00:13:56,760
Speaker 1: sucks for him because he knew that her husband had

263
00:13:56,800 --> 00:13:59,360
Speaker 1: just been diagnosed with brain cancer and she had little

264
00:13:59,440 --> 00:14:01,559
Speaker 1: kids and everything like that. But at the same time,

265
00:14:02,240 --> 00:14:05,000
Speaker 1: she stole six hundred and sixty thousand dollars from him.

266
00:14:05,160 --> 00:14:08,760
Speaker 1: Like I'm sorry, Like I don't care if I mean,

267
00:14:09,000 --> 00:14:12,120
Speaker 1: have compassion for people, but I'm not going to just

268
00:14:12,200 --> 00:14:14,480
Speaker 1: let someone steal money like that from me because their

269
00:14:14,600 --> 00:14:18,200
Speaker 1: husband has and actually we need to mention that this

270
00:14:18,280 --> 00:14:22,160
Speaker 1: money was stolen before her husband was diagnosed with cancer.

271
00:14:22,320 --> 00:14:24,080
Speaker 2: Well, I was just gonna say that. So she started

272
00:14:24,080 --> 00:14:27,520
Speaker 2: writing herself personal checks in twenty twenty three, which they

273
00:14:27,520 --> 00:14:30,680
Speaker 2: were saying was well before the husband was diagnosed with cancer,

274
00:14:30,720 --> 00:14:33,080
Speaker 2: so she had just been doing it anyway, And then

275
00:14:33,120 --> 00:14:35,960
Speaker 2: when they confronted her with the information, she just offered

276
00:14:35,960 --> 00:14:38,560
Speaker 2: no explanation at all. It took weeks for them to

277
00:14:38,600 --> 00:14:41,160
Speaker 2: get any bank records from her, which they're saying were

278
00:14:41,160 --> 00:14:43,880
Speaker 2: clearly doctored, and then they felt they had no choice

279
00:14:43,880 --> 00:14:46,080
Speaker 2: to put the file of police report, which is a

280
00:14:46,080 --> 00:14:49,120
Speaker 2: shitty position to be in as an employer because obviously

281
00:14:49,120 --> 00:14:51,400
Speaker 2: you want to trust your employees. And then, like you're saying,

282
00:14:51,680 --> 00:14:54,080
Speaker 2: they know she's going through this horrific thing in her house,

283
00:14:54,120 --> 00:14:56,320
Speaker 2: but you can't just let somebody steal money because they're

284
00:14:56,360 --> 00:14:57,240
Speaker 2: going through something.

285
00:14:57,920 --> 00:15:01,280
Speaker 1: She And the weird thing is that she worked for

286
00:15:01,920 --> 00:15:05,840
Speaker 1: a chicken wing company. It's not like they it's not

287
00:15:05,920 --> 00:15:09,120
Speaker 1: like they make billions of dollars and it's it's like, oh,

288
00:15:09,200 --> 00:15:11,520
Speaker 1: I'm just gonna skim some off the top, like an

289
00:15:11,560 --> 00:15:16,080
Speaker 1: office space situation, you know, like distractions of a penny. No,

290
00:15:16,360 --> 00:15:20,200
Speaker 1: like like six hundred and sixty thousand dollars over the

291
00:15:20,240 --> 00:15:23,040
Speaker 1: course of two years is a noticeable chunk of money

292
00:15:23,120 --> 00:15:24,720
Speaker 1: missing that people would notice.

293
00:15:25,000 --> 00:15:27,360
Speaker 2: Yeah, So it seems like they were going through with

294
00:15:27,440 --> 00:15:31,000
Speaker 2: an accountant in June and realized this chunk of money

295
00:15:31,000 --> 00:15:33,640
Speaker 2: missing and that it was going to her. So that's

296
00:15:33,680 --> 00:15:36,640
Speaker 2: when they confronted her. And you know, this boss still

297
00:15:36,760 --> 00:15:40,040
Speaker 2: is remaining in a positive I think he still looks

298
00:15:40,080 --> 00:15:41,920
Speaker 2: good at the end of this because he's saying at

299
00:15:41,920 --> 00:15:43,800
Speaker 2: this point he doesn't even want the money back, he

300
00:15:43,880 --> 00:15:45,880
Speaker 2: just wants it to go to the surviving child.

301
00:15:46,320 --> 00:15:49,440
Speaker 1: Yeah, which which is really nice. I mean, he probably

302
00:15:50,160 --> 00:15:53,480
Speaker 1: feels he might feel a little terrible about bringing this

303
00:15:53,640 --> 00:15:58,040
Speaker 1: up because obviously it might not be the only reason

304
00:15:58,080 --> 00:16:02,360
Speaker 1: that she did this, but she might have felt like

305
00:16:02,400 --> 00:16:05,160
Speaker 1: a compounding my world is ending kind of a thing,

306
00:16:05,560 --> 00:16:09,000
Speaker 1: and that along with the cancer. But it does make

307
00:16:09,080 --> 00:16:12,720
Speaker 1: more sense now. I mean, obviously, if your husband gets

308
00:16:12,720 --> 00:16:15,120
Speaker 1: diagnosed with cancer. We were talking about this last week,

309
00:16:15,120 --> 00:16:16,880
Speaker 1: if your husband gets diagnosed with cancer and you have

310
00:16:16,960 --> 00:16:19,920
Speaker 1: little kids, it's terrible, but like life will go on

311
00:16:20,920 --> 00:16:23,520
Speaker 1: and some people just get really depressed about it or whatever.

312
00:16:23,600 --> 00:16:25,680
Speaker 1: But like now it kind of makes a little bit

313
00:16:25,720 --> 00:16:28,520
Speaker 1: more sense why it was so drastic With the.

314
00:16:28,480 --> 00:16:30,600
Speaker 2: Facts we have in front of us. At this point,

315
00:16:30,640 --> 00:16:34,200
Speaker 2: this guy cannot blame himself for this event happening. I mean,

316
00:16:34,240 --> 00:16:37,440
Speaker 2: she was doing something wrong for years, and it's not

317
00:16:37,520 --> 00:16:39,560
Speaker 2: like she felt like she had to steal the money

318
00:16:39,560 --> 00:16:42,640
Speaker 2: to help pay for her husband's cancer, as established she

319
00:16:42,680 --> 00:16:43,600
Speaker 2: was doing before.

320
00:16:43,520 --> 00:16:46,800
Speaker 1: Exactly like and that still isn't even right, but at

321
00:16:46,880 --> 00:16:48,800
Speaker 1: least you might say, okay, well.

322
00:16:48,760 --> 00:16:51,840
Speaker 2: You understand a little more, but it's still a crime.

323
00:16:51,960 --> 00:16:55,000
Speaker 1: It's like, listen, she's kind of being a scumbag like that.

324
00:16:55,040 --> 00:16:58,160
Speaker 1: It's the bottom line, like she's dead whatever, shouldn't speak

325
00:16:58,160 --> 00:17:00,440
Speaker 1: about the dead, but like that's what was going on,

326
00:17:01,040 --> 00:17:05,520
Speaker 1: and she created all like that problem stealing money in general,

327
00:17:05,560 --> 00:17:07,960
Speaker 1: but just like she wasn't even doing it good, Like

328
00:17:08,000 --> 00:17:10,119
Speaker 1: you just can't steal money from people like that, and

329
00:17:10,160 --> 00:17:14,080
Speaker 1: they wouldn't realize it because six hundred and sixty thousand

330
00:17:14,119 --> 00:17:16,919
Speaker 1: dollars over two years, three hundred thousand dollars, Like you

331
00:17:16,920 --> 00:17:19,439
Speaker 1: think somebody's not going to notice that that much money's missing,

332
00:17:20,160 --> 00:17:22,080
Speaker 1: and then it's all like a paper trail.

333
00:17:23,240 --> 00:17:25,680
Speaker 2: This isn't like one hundred years ago where you could

334
00:17:25,760 --> 00:17:26,840
Speaker 2: like exactly.

335
00:17:28,480 --> 00:17:32,200
Speaker 1: Bizarre. And then on top of it, which is actually

336
00:17:32,359 --> 00:17:37,359
Speaker 1: interesting too because assumingly this this couple is is just

337
00:17:37,680 --> 00:17:41,960
Speaker 1: wasn't what did she do for a profession the way? Yeah,

338
00:17:42,119 --> 00:17:44,760
Speaker 1: it wasn't. Didn't we talk about that last time that

339
00:17:45,560 --> 00:17:47,439
Speaker 1: because we were talking about like one of them not

340
00:17:47,520 --> 00:17:50,720
Speaker 1: working or whatever. But regardless, let's just just assume that

341
00:17:50,760 --> 00:17:57,359
Speaker 1: their they're average middle class income people, right, what like

342
00:17:57,720 --> 00:18:00,240
Speaker 1: her bringing over the course of two years is an

343
00:18:00,280 --> 00:18:04,440
Speaker 1: additional six hundred thousand dollars into her life untaxed by

344
00:18:04,480 --> 00:18:06,840
Speaker 1: the way, which is like a person making over a

345
00:18:06,920 --> 00:18:12,840
Speaker 1: million dollars like her husband, her family, like nobody noticed

346
00:18:12,840 --> 00:18:15,240
Speaker 1: that she had all this extra money.

347
00:18:15,520 --> 00:18:17,879
Speaker 2: Well, we don't know how she was spending it, I

348
00:18:17,920 --> 00:18:21,080
Speaker 2: guess at the end just because like why like why

349
00:18:21,080 --> 00:18:22,960
Speaker 2: would she steal it to dash it away?

350
00:18:23,000 --> 00:18:26,200
Speaker 1: Like it's just weird. The whole thing is just is fishy,

351
00:18:26,240 --> 00:18:26,439
Speaker 1: you know.

352
00:18:26,840 --> 00:18:29,440
Speaker 2: I mean clearly there was a lot of issues going

353
00:18:29,480 --> 00:18:33,520
Speaker 2: on because obviously you wouldn't a normal person would not

354
00:18:33,600 --> 00:18:36,760
Speaker 2: steal from their employer at all. We're not talking about

355
00:18:36,800 --> 00:18:40,320
Speaker 2: stealing like no pads, like I stole from your house yesterday. Sorry,

356
00:18:40,680 --> 00:18:43,400
Speaker 2: but you know, like this is this is a lot

357
00:18:43,440 --> 00:18:45,880
Speaker 2: of money. So you have that going on, and then

358
00:18:45,880 --> 00:18:48,439
Speaker 2: you have this horrible situation with the illness, and then

359
00:18:48,440 --> 00:18:51,840
Speaker 2: you think the only solution is to kill your whole family. Yeah,

360
00:18:51,880 --> 00:19:02,560
Speaker 2: it doesn't make any sense at all. No. This episode

361
00:19:02,600 --> 00:19:04,119
Speaker 2: is brought to you by the Grossroom.

362
00:19:04,520 --> 00:19:07,560
Speaker 1: Guys. This week's celebrity death. This section was on Lonnie

363
00:19:07,560 --> 00:19:09,880
Speaker 1: Anderson and she had a little bit of a rare

364
00:19:10,119 --> 00:19:13,960
Speaker 1: cause of death. She had a tumor called a uterine

365
00:19:14,080 --> 00:19:18,320
Speaker 1: llomyosarcoma which had metastasized. So we talk about all about

366
00:19:18,359 --> 00:19:21,520
Speaker 1: what that would look like, what symptoms would present and

367
00:19:22,440 --> 00:19:25,720
Speaker 1: just relate it to a common condition that women are

368
00:19:25,800 --> 00:19:30,640
Speaker 1: really familiar with. Actually, and this week's Forensic Friday, we

369
00:19:30,680 --> 00:19:33,840
Speaker 1: talked about fire effect on the brain, and we're going

370
00:19:33,880 --> 00:19:36,840
Speaker 1: to get into that with some other stories in the

371
00:19:36,880 --> 00:19:40,240
Speaker 1: news this week. So tune into the Grossroom to see

372
00:19:40,280 --> 00:19:41,919
Speaker 1: what this stuff actually looks like.

373
00:19:42,520 --> 00:19:45,000
Speaker 2: Head over to the Grossroom dot com now to sign up.

374
00:19:46,560 --> 00:19:51,800
Speaker 1: So this next story I actually posted in my Instagram

375
00:19:51,920 --> 00:19:57,800
Speaker 1: story this week because of quotes made by the judges,

376
00:19:58,240 --> 00:20:02,600
Speaker 1: and one of which was quote, this woman would have

377
00:20:02,720 --> 00:20:06,280
Speaker 1: been better delivering this baby in a bathroom at a

378
00:20:06,320 --> 00:20:09,439
Speaker 1: gas station or a hut somewhere in Africa instead of

379
00:20:09,560 --> 00:20:14,760
Speaker 1: in this hospital. Like wow, it's I actually put it

380
00:20:14,800 --> 00:20:18,000
Speaker 1: on my Instagram story that this judge must be listening

381
00:20:18,000 --> 00:20:21,440
Speaker 1: to Mother Knows Death because I say that about especially

382
00:20:21,520 --> 00:20:24,280
Speaker 1: my one childbirth, that I would have been safer if

383
00:20:24,320 --> 00:20:28,640
Speaker 1: I was I usually say squatting by a tree, but well,

384
00:20:29,000 --> 00:20:31,439
Speaker 1: I was thinking that immediately when seeing this headline, that

385
00:20:31,560 --> 00:20:34,400
Speaker 1: somebody like you that went through a really horrific delivery

386
00:20:34,440 --> 00:20:36,920
Speaker 1: with Lillian must feel a type of way about this

387
00:20:37,080 --> 00:20:40,359
Speaker 1: and must feel some kind of joy that this family

388
00:20:40,720 --> 00:20:42,880
Speaker 1: not joy at what they went through, obviously, but that

389
00:20:43,080 --> 00:20:45,119
Speaker 1: you know, justice is on their side and they're getting

390
00:20:45,720 --> 00:20:49,199
Speaker 1: the largest settlement in Utah history over this bots delivery

391
00:20:49,240 --> 00:20:51,720
Speaker 1: of their child. But of course that doesn't make up for,

392
00:20:52,000 --> 00:20:54,040
Speaker 1: you know, the hardship their daughter's going to face the

393
00:20:54,080 --> 00:20:57,480
Speaker 1: rest of her life. And that's and that's with us, like, like,

394
00:20:57,600 --> 00:21:01,040
Speaker 1: thank god, there was no long term affect on either

395
00:21:01,119 --> 00:21:05,200
Speaker 1: of us as far as we know, right, but this

396
00:21:05,440 --> 00:21:10,080
Speaker 1: poor family. And listen, like, whenever I've talked to people

397
00:21:10,200 --> 00:21:13,200
Speaker 1: about what happened to me when I had Lillian, especially,

398
00:21:14,880 --> 00:21:20,040
Speaker 1: a lot of people have similar stories a lot, and

399
00:21:20,480 --> 00:21:23,960
Speaker 1: but it's just by luck that you survive and you're fine.

400
00:21:24,000 --> 00:21:26,800
Speaker 1: And then it kind of like all of what I

401
00:21:26,880 --> 00:21:30,840
Speaker 1: went through was completely swept under the rug because I

402
00:21:30,880 --> 00:21:33,040
Speaker 1: didn't die and my daughter didn't die or have any

403
00:21:33,080 --> 00:21:37,280
Speaker 1: long term health effects. Therefore nobody knows about it.

404
00:21:37,359 --> 00:21:40,400
Speaker 2: Yeah, they're even an incident report about what we know.

405
00:21:40,800 --> 00:21:43,840
Speaker 1: I doubt it. I doubt it. That's that's how it

406
00:21:43,880 --> 00:21:50,280
Speaker 1: goes down. So with this particular mother, I don't even

407
00:21:50,359 --> 00:21:53,240
Speaker 1: understand how this happens. And maybe some of you that

408
00:21:53,280 --> 00:21:55,359
Speaker 1: work in labor and delivery could help us with this,

409
00:21:55,520 --> 00:22:00,679
Speaker 1: but apparently there were nurses working there that were trying

410
00:22:00,720 --> 00:22:05,879
Speaker 1: to induce this woman who had just finished training. I

411
00:22:05,920 --> 00:22:10,240
Speaker 1: don't really understand what that means exactly, Like, are they

412
00:22:10,480 --> 00:22:12,119
Speaker 1: new grads from nursing school.

413
00:22:12,440 --> 00:22:14,359
Speaker 2: I think what they're trying to elude is that the

414
00:22:14,480 --> 00:22:16,879
Speaker 2: nurses that were on staff that they had just barely

415
00:22:16,960 --> 00:22:20,439
Speaker 2: graduated from school before getting hired there. They hadn't really

416
00:22:20,920 --> 00:22:23,800
Speaker 2: gone through that much training. And the doctor overseeing them

417
00:22:24,160 --> 00:22:26,360
Speaker 2: was not in the room because he had been sleeping

418
00:22:26,440 --> 00:22:28,800
Speaker 2: in another room of the hospital while they were in

419
00:22:28,920 --> 00:22:31,080
Speaker 2: charge of this woman and giving her drugs.

420
00:22:31,880 --> 00:22:34,520
Speaker 1: You know what really sucks for these parents. They were

421
00:22:34,560 --> 00:22:38,600
Speaker 1: actually from Wyoming and they decided to take a little

422
00:22:38,600 --> 00:22:45,720
Speaker 1: short trip before they had this baby, and which I

423
00:22:45,760 --> 00:22:50,959
Speaker 1: don't think is a problem because as a person living

424
00:22:51,080 --> 00:22:56,600
Speaker 1: in America at least, you kind of have this false

425
00:22:56,880 --> 00:23:01,320
Speaker 1: sense of security. I guess I would say that any

426
00:23:01,440 --> 00:23:04,280
Speaker 1: hospital that you walk into would be able to deliver

427
00:23:04,359 --> 00:23:06,719
Speaker 1: your baby if you were to go into labor early.

428
00:23:07,320 --> 00:23:08,840
Speaker 2: Well that should be the case.

429
00:23:09,040 --> 00:23:12,560
Speaker 1: Like the most common thing they do is deliver babies.

430
00:23:13,240 --> 00:23:16,399
Speaker 1: It should be the bread and butter of their industry.

431
00:23:16,480 --> 00:23:19,159
Speaker 1: It should be you know, and there's always complications with

432
00:23:19,720 --> 00:23:23,680
Speaker 1: deliveries and pregnancy that are sometimes out of the doctor's hands,

433
00:23:23,720 --> 00:23:28,280
Speaker 1: for sure, But I can imagine that this family, these

434
00:23:28,320 --> 00:23:31,760
Speaker 1: parents beat themselves up every day over this because they

435
00:23:31,840 --> 00:23:34,080
Speaker 1: just wanted to have like a little trip and ended

436
00:23:34,160 --> 00:23:36,880
Speaker 1: up at a hospital. If they would have just stayed home,

437
00:23:38,119 --> 00:23:40,919
Speaker 1: things might have been different for their entire life, because

438
00:23:40,960 --> 00:23:44,760
Speaker 1: now their daughter has seizures so bad to the point

439
00:23:44,800 --> 00:23:46,840
Speaker 1: where they have to sleep in bed with her every

440
00:23:46,960 --> 00:23:49,720
Speaker 1: night because they're scared that she's going to die in

441
00:23:49,760 --> 00:23:54,800
Speaker 1: her sleep. She's just not developing normally as she should be,

442
00:23:55,359 --> 00:23:57,720
Speaker 1: and there was no indication that that would have happened

443
00:23:57,760 --> 00:23:59,480
Speaker 1: prior to this botch delivery.

444
00:24:00,280 --> 00:24:03,560
Speaker 2: I mean, everything you read about this case just seems unacceptable.

445
00:24:03,560 --> 00:24:06,359
Speaker 2: They're saying they gave her these labor inducing drugs and

446
00:24:06,400 --> 00:24:08,720
Speaker 2: that the baby's blood pressure was getting high, the mom

447
00:24:08,840 --> 00:24:10,679
Speaker 2: was having a fever, and they just were kind of

448
00:24:10,680 --> 00:24:13,199
Speaker 2: blowing it off. The baby was not born until the

449
00:24:13,240 --> 00:24:16,560
Speaker 2: next day. This lawsuits alluding that the mother clearly needed

450
00:24:16,600 --> 00:24:19,119
Speaker 2: a sea section and they were blowing her off. I

451
00:24:19,160 --> 00:24:22,320
Speaker 2: don't really understand, because I haven't been through this how

452
00:24:22,359 --> 00:24:27,280
Speaker 2: this process works, but like, what is the timeline supposed

453
00:24:27,280 --> 00:24:29,399
Speaker 2: to be. I'm assuming if there's any issues coming up

454
00:24:29,400 --> 00:24:32,080
Speaker 2: at all, with the baby having issues or the mom

455
00:24:32,119 --> 00:24:34,040
Speaker 2: having issues, they would just go straight to a sea

456
00:24:34,080 --> 00:24:36,160
Speaker 2: section because it would be too dangerous to wait.

457
00:24:37,320 --> 00:24:39,280
Speaker 1: The only thing that I could think of is that

458
00:24:39,400 --> 00:24:44,000
Speaker 1: there wasn't I mean, there was a doctor there apparently.

459
00:24:44,040 --> 00:24:45,960
Speaker 1: I don't know if the doctor was there the whole time,

460
00:24:46,080 --> 00:24:52,240
Speaker 1: but there had to be a situation where listen, I

461
00:24:52,280 --> 00:24:55,720
Speaker 1: don't know, I'm trying to find like an excuse, and

462
00:24:55,760 --> 00:24:59,399
Speaker 1: I just I can't. I'm thinking, like, if there's a

463
00:24:59,440 --> 00:25:02,320
Speaker 1: situation where there's just not a doctor available to do it,

464
00:25:02,359 --> 00:25:08,280
Speaker 1: but even a general surgeon could if a baby or

465
00:25:08,320 --> 00:25:11,520
Speaker 1: mother's life's in changer, Like someone knows how to get

466
00:25:11,520 --> 00:25:13,960
Speaker 1: a baby out of as out of a stomach via

467
00:25:14,000 --> 00:25:18,240
Speaker 1: C section. You're not in the middle of of of

468
00:25:18,560 --> 00:25:21,760
Speaker 1: another third world country that doesn't have access to healthcare,

469
00:25:21,920 --> 00:25:24,359
Speaker 1: Like it's it's just completely unacceptable.

470
00:25:25,359 --> 00:25:28,960
Speaker 2: I imagine that protocol in most cases is that there needs

471
00:25:29,000 --> 00:25:31,159
Speaker 2: to be at least not one, but a few people

472
00:25:31,240 --> 00:25:33,119
Speaker 2: on staff at all time that would know how to

473
00:25:33,160 --> 00:25:34,720
Speaker 2: do this in case of an emergency.

474
00:25:36,119 --> 00:25:39,800
Speaker 1: Yeah, I mean, so the interesting thing is, so this

475
00:25:39,840 --> 00:25:41,800
Speaker 1: is a couple of notes I wanted to make about

476
00:25:41,800 --> 00:25:44,640
Speaker 1: this particular case, So this hospital system has to pay

477
00:25:44,640 --> 00:25:49,399
Speaker 1: them almost one billion dollars. Yeah, okay, which is a

478
00:25:49,440 --> 00:25:53,159
Speaker 1: lot of money. Isn't it kind of crazy that a

479
00:25:53,200 --> 00:25:56,640
Speaker 1: hospital can pay out a lawsuit settlement of a billion

480
00:25:56,680 --> 00:26:00,240
Speaker 1: dollars and still be able to remain a thing.

481
00:26:01,080 --> 00:26:04,280
Speaker 2: Well, I think in a normal case, yes, But they

482
00:26:04,320 --> 00:26:07,040
Speaker 2: were saying later in this article that they're probably not

483
00:26:07,119 --> 00:26:09,560
Speaker 2: even going to get half of this settlement because this

484
00:26:09,960 --> 00:26:14,160
Speaker 2: medical center has filed for bankruptcy, So are they even

485
00:26:14,200 --> 00:26:15,320
Speaker 2: going to see this money?

486
00:26:16,000 --> 00:26:20,240
Speaker 1: I don't know. It's just really listen, like the money

487
00:26:20,280 --> 00:26:23,520
Speaker 1: will be helpful for them, especially if she has to

488
00:26:23,560 --> 00:26:27,919
Speaker 1: be monitored like this because of seizures, that maybe they

489
00:26:27,920 --> 00:26:30,359
Speaker 1: could hire a person to come so they can get

490
00:26:30,400 --> 00:26:32,439
Speaker 1: a good night's sleep or something, or go out on

491
00:26:32,480 --> 00:26:34,560
Speaker 1: a date or just like live their life for the

492
00:26:34,560 --> 00:26:36,760
Speaker 1: rest of their life. All of the care that's going

493
00:26:37,000 --> 00:26:40,160
Speaker 1: she's going to require, but like, it still doesn't it's

494
00:26:40,200 --> 00:26:43,520
Speaker 1: still not changing anything. And it's scary to think this

495
00:26:43,680 --> 00:26:46,000
Speaker 1: just happened in two thousand and twenty.

496
00:26:46,080 --> 00:26:49,159
Speaker 2: This wasn't twenty nineteen that the box delivery happened, and

497
00:26:49,240 --> 00:26:51,960
Speaker 2: they filed the lawsuit in twenty twenty one. So still

498
00:26:52,000 --> 00:26:54,359
Speaker 2: all this time and they still you know, there's a

499
00:26:54,440 --> 00:26:56,200
Speaker 2: lot of stress to be on a family that went

500
00:26:56,200 --> 00:26:58,359
Speaker 2: through this and has a kid that actively needs to

501
00:26:58,440 --> 00:26:59,760
Speaker 2: be monitored all the time.

502
00:27:00,320 --> 00:27:03,600
Speaker 1: Yeah, and it's I mean, it is satisfying for the

503
00:27:03,680 --> 00:27:10,600
Speaker 1: judge to say, like to reiterate your feelings on how

504
00:27:10,640 --> 00:27:14,199
Speaker 1: bad things were, but it's like none of it changes anything.

505
00:27:14,240 --> 00:27:16,520
Speaker 1: And you hear about these things all the time, and

506
00:27:16,560 --> 00:27:20,639
Speaker 1: you're just like, I don't even twenty nineteen, it was

507
00:27:20,760 --> 00:27:24,959
Speaker 1: before the pandemic, because think you could think like maybe

508
00:27:25,000 --> 00:27:27,800
Speaker 1: it was during the craziness of COVID and there were

509
00:27:27,880 --> 00:27:29,960
Speaker 1: short staffed and nobody wanted to come to work, Like

510
00:27:30,359 --> 00:27:32,760
Speaker 1: there's no excuse. There's just no excuse.

511
00:27:33,680 --> 00:27:36,240
Speaker 2: Going back to your comment though about you know, them

512
00:27:36,280 --> 00:27:39,040
Speaker 2: having a million dollars or almost a billion dollar settlement

513
00:27:39,040 --> 00:27:42,879
Speaker 2: in it not affecting a hospital. It's just, you know,

514
00:27:42,960 --> 00:27:46,760
Speaker 2: the greater conversation of the outrageous nature of health care

515
00:27:46,760 --> 00:27:49,040
Speaker 2: in this country. Think about a couple of weeks ago,

516
00:27:49,480 --> 00:27:52,000
Speaker 2: I had a teeny tidy reaction to MRI contrast, and

517
00:27:52,040 --> 00:27:54,160
Speaker 2: we had to go to the emergency room. We were

518
00:27:54,200 --> 00:27:56,600
Speaker 2: in the waiting room probably for an hour and forty

519
00:27:56,640 --> 00:27:58,639
Speaker 2: five minutes. And how long were we back there? Not

520
00:27:58,720 --> 00:28:01,840
Speaker 2: even fifteen minutes? Yeah no, And they said go home

521
00:28:01,880 --> 00:28:03,879
Speaker 2: and take a ben a drill. Right, that was my

522
00:28:03,960 --> 00:28:07,000
Speaker 2: whole entire emergency room visit. I just got a bill

523
00:28:07,080 --> 00:28:09,800
Speaker 2: that I owe three hundred and fifty dollars and if

524
00:28:09,840 --> 00:28:11,600
Speaker 2: I didn't have health insurance, it would have been like

525
00:28:11,680 --> 00:28:14,000
Speaker 2: four grand. Think about this.

526
00:28:14,320 --> 00:28:17,240
Speaker 1: Yeah, for them to tell me, I really actually don't

527
00:28:17,320 --> 00:28:20,560
Speaker 1: understand that because they didn't do anything to you except

528
00:28:20,560 --> 00:28:23,399
Speaker 1: take your blood pressure. That's all they physically did to you.

529
00:28:23,640 --> 00:28:25,439
Speaker 2: Well, this is what I'm talking about. But this is

530
00:28:25,440 --> 00:28:27,879
Speaker 2: why these hospitals have this much money. So if they do,

531
00:28:27,960 --> 00:28:32,560
Speaker 2: in fact, get a billion dollar settlement for malpractice, oh whatever,

532
00:28:32,680 --> 00:28:35,119
Speaker 2: because they're getting all this other money from people like

533
00:28:35,200 --> 00:28:36,680
Speaker 2: me that they just say go home and take a

534
00:28:36,680 --> 00:28:38,480
Speaker 2: bend a drill. They didn't even give me a ben

535
00:28:38,560 --> 00:28:38,920
Speaker 2: a drill.

536
00:28:39,560 --> 00:28:44,760
Speaker 1: They didn't. That's actually it's really interesting because all of

537
00:28:44,800 --> 00:28:49,800
Speaker 1: our I mean obviously we dealt with the people that

538
00:28:49,920 --> 00:28:53,240
Speaker 1: checked us into the hospital or into the emergency room.

539
00:28:53,280 --> 00:28:56,000
Speaker 1: So you dealt with like clerical staff, and then you

540
00:28:56,040 --> 00:28:58,480
Speaker 1: were brought back to a triage nurse and they took

541
00:28:58,480 --> 00:29:01,479
Speaker 1: your blood pressure and asked you some quiet us and

542
00:29:01,520 --> 00:29:04,560
Speaker 1: then that was it as far as medical intervention goes.

543
00:29:04,600 --> 00:29:06,880
Speaker 1: And then a physician came and told you that you

544
00:29:06,880 --> 00:29:10,720
Speaker 1: could leave. There was no testing done, nothing, no blood

545
00:29:10,720 --> 00:29:14,200
Speaker 1: we're talking about nothing. I was there the entire time.

546
00:29:14,440 --> 00:29:18,400
Speaker 2: They didn't give me a pill. I were like, well,

547
00:29:18,640 --> 00:29:22,160
Speaker 2: four thousand dollars for a talk, Like, think about how

548
00:29:22,280 --> 00:29:25,920
Speaker 2: ridiculous anyway. I just think because of things like that,

549
00:29:26,080 --> 00:29:29,040
Speaker 2: they're they're getting hundreds, if not thousands of dollars from

550
00:29:29,080 --> 00:29:33,040
Speaker 2: people like me, you know, and then when there's cases

551
00:29:33,080 --> 00:29:35,840
Speaker 2: like this in most cases obviously this hospital ended up

552
00:29:35,840 --> 00:29:38,320
Speaker 2: filing for bankruptcy, but I don't think this would be

553
00:29:38,360 --> 00:29:40,960
Speaker 2: a ding to most hospitals.

554
00:29:40,600 --> 00:29:43,640
Speaker 1: Right, It's just like it's just so much money. It's

555
00:29:43,720 --> 00:29:45,560
Speaker 1: I mean, and I know just from working in a

556
00:29:45,600 --> 00:29:49,640
Speaker 1: hospital that the amount of waste. So it's just it's

557
00:29:49,720 --> 00:29:53,440
Speaker 1: just really you would just think that that kind of

558
00:29:53,480 --> 00:29:57,080
Speaker 1: money would would cripple. Well, this is this is another

559
00:29:57,200 --> 00:29:59,840
Speaker 1: great part of the story. So the hospital got obtained

560
00:29:59,880 --> 00:30:02,440
Speaker 1: by another hospital and now they're they changed their name.

561
00:30:03,200 --> 00:30:05,440
Speaker 2: Oh yeah, so nobody would so nobody could trace it

562
00:30:05,480 --> 00:30:07,320
Speaker 2: back that it happened there like that.

563
00:30:07,320 --> 00:30:09,560
Speaker 1: That's always alarming. I guess if you live in an

564
00:30:09,600 --> 00:30:11,880
Speaker 1: area and the hospitals are changing names and stuff, you

565
00:30:11,960 --> 00:30:15,720
Speaker 1: might want to look into into that.

566
00:30:16,560 --> 00:30:18,120
Speaker 2: There is a question I want to post to you though.

567
00:30:18,560 --> 00:30:22,920
Speaker 2: Is the hospital liable for having bad hiring practices and

568
00:30:22,960 --> 00:30:27,000
Speaker 2: bad protocols or are the nurses and the sleeping doctor liable?

569
00:30:27,960 --> 00:30:30,840
Speaker 2: Like why not go after those people individually? Are you

570
00:30:30,920 --> 00:30:32,320
Speaker 2: going after I think they did.

571
00:30:32,440 --> 00:30:34,720
Speaker 1: I think they were even trying to ask the people

572
00:30:34,840 --> 00:30:38,840
Speaker 1: who were involved in the lawsuit. So each person in

573
00:30:38,840 --> 00:30:41,880
Speaker 1: that like for us as a PA and pathology, we

574
00:30:42,320 --> 00:30:45,560
Speaker 1: in particular don't have to have malpractice insurance because we're

575
00:30:45,640 --> 00:30:49,440
Speaker 1: covered underneath of the pathologists in the hospital. But in

576
00:30:49,440 --> 00:30:53,880
Speaker 1: that situation, the nurses might not have to have their

577
00:30:53,880 --> 00:30:56,320
Speaker 1: own insurance, although I'm not sure all of that, but

578
00:30:56,400 --> 00:30:59,200
Speaker 1: they definitely would fall underneath of the doctors that they

579
00:30:59,240 --> 00:31:03,520
Speaker 1: work for, who definitely have to have it. So the

580
00:31:03,640 --> 00:31:07,240
Speaker 1: individuals are all in short as well as the institution.

581
00:31:07,440 --> 00:31:12,760
Speaker 1: But you can't one hundred percent because we don't know

582
00:31:12,840 --> 00:31:16,520
Speaker 1: the whole story. And I know nurses that I'm best

583
00:31:16,520 --> 00:31:21,720
Speaker 1: friends with that are constantly working short staffed because of

584
00:31:21,760 --> 00:31:24,520
Speaker 1: the hospital's fault. So if something were to happen to

585
00:31:24,600 --> 00:31:28,320
Speaker 1: one of their patients, Like ultimately it would be their fault.

586
00:31:28,400 --> 00:31:30,880
Speaker 1: But at the same time, it's like the hospital isn't

587
00:31:31,440 --> 00:31:34,760
Speaker 1: supplying them with the amount of help they need. And

588
00:31:35,400 --> 00:31:38,440
Speaker 1: if you have one nurse taken care of triple the

589
00:31:38,480 --> 00:31:40,880
Speaker 1: patients that they should be, then like there's going to

590
00:31:40,920 --> 00:31:43,360
Speaker 1: be mistakes made. So it could have been a situation

591
00:31:43,520 --> 00:31:49,520
Speaker 1: like that, Like obviously this person won, so the hospital

592
00:31:49,800 --> 00:31:51,720
Speaker 1: and the staff were in the wrong. We just don't

593
00:31:51,720 --> 00:31:55,800
Speaker 1: know exactly, like like why was that doctor sleeping because

594
00:31:55,800 --> 00:31:57,920
Speaker 1: he worked three days in a row without any help,

595
00:31:58,040 --> 00:31:59,640
Speaker 1: like you know what I mean, Like things like that,

596
00:32:00,040 --> 00:32:01,560
Speaker 1: So there might be more to the story that we

597
00:32:02,640 --> 00:32:03,400
Speaker 1: just don't know.

598
00:32:04,200 --> 00:32:07,360
Speaker 2: Yeah, and you know, hopefully this family does see some

599
00:32:07,440 --> 00:32:09,440
Speaker 2: of that money. It's not like they went after them

600
00:32:09,480 --> 00:32:13,880
Speaker 2: for no reason. They have lifelong medical bills. Now, yeah, all.

601
00:32:13,840 --> 00:32:15,920
Speaker 1: Right, let's talk about this story is a little bit

602
00:32:15,960 --> 00:32:19,320
Speaker 1: more fun, I would say. All right, So in Nantucket,

603
00:32:19,360 --> 00:32:21,880
Speaker 1: a couple of years ago, they started testing the water

604
00:32:22,000 --> 00:32:24,320
Speaker 1: to see if there was COVID spikes in the region,

605
00:32:24,360 --> 00:32:27,640
Speaker 1: which is that even necessary in general? But since then

606
00:32:27,680 --> 00:32:30,440
Speaker 1: they've gone on to do other tests, including drug tests,

607
00:32:30,480 --> 00:32:32,560
Speaker 1: and they see in this newer test that there are

608
00:32:32,680 --> 00:32:35,960
Speaker 1: very high levels of cocaine in the water. Yeah, it's

609
00:32:36,040 --> 00:32:39,480
Speaker 1: actually really interesting. I've been to Nantucket, so I could

610
00:32:39,520 --> 00:32:42,719
Speaker 1: speak about this a little bit. I thought it was

611
00:32:43,200 --> 00:32:46,040
Speaker 1: it was very cool, like it's always cool to have

612
00:32:46,160 --> 00:32:49,320
Speaker 1: to put your car onto a ferry and go somewhere.

613
00:32:50,480 --> 00:32:54,040
Speaker 1: And I'm just trying to think, actually when we went there,

614
00:32:54,120 --> 00:32:55,880
Speaker 1: I don't even know. I feel like we did that

615
00:32:55,960 --> 00:32:58,600
Speaker 1: for Martha's Vineyard, but I think for Nantucket we just

616
00:32:58,640 --> 00:33:01,520
Speaker 1: took the ferry over and we rented a car for

617
00:33:01,600 --> 00:33:03,880
Speaker 1: the day because I don't even know if you can

618
00:33:03,960 --> 00:33:06,680
Speaker 1: bring your car there or maybe you have to preserve it.

619
00:33:06,760 --> 00:33:11,400
Speaker 1: I don't really remember. But dude, Nantucket is like a

620
00:33:11,440 --> 00:33:15,200
Speaker 1: whole different world as far as like compared to the

621
00:33:15,320 --> 00:33:16,760
Speaker 1: Jersey Shore and stuff.

622
00:33:16,880 --> 00:33:18,480
Speaker 2: It's like course.

623
00:33:18,120 --> 00:33:22,680
Speaker 1: Mood show money, It's beautiful. It's just it's just like

624
00:33:22,760 --> 00:33:26,320
Speaker 1: a whole different vibe of anything that we've seen in

625
00:33:26,360 --> 00:33:31,400
Speaker 1: New Jersey at least for sure. And you know, obviously

626
00:33:31,480 --> 00:33:35,520
Speaker 1: like I felt completely out of place with my family,

627
00:33:35,680 --> 00:33:39,800
Speaker 1: Like everybody there is super just like very white and

628
00:33:39,880 --> 00:33:42,880
Speaker 1: clean cut and their vineyard vine shirts and they're Lily

629
00:33:42,920 --> 00:33:47,440
Speaker 1: Pulitzer outfits and and then like we just don't necessarily

630
00:33:47,480 --> 00:33:50,480
Speaker 1: fit that mold. So we felt very like, okay, this

631
00:33:50,560 --> 00:33:54,600
Speaker 1: isn't cool. We actually so we went to visit the

632
00:33:55,080 --> 00:33:57,440
Speaker 1: We go to look at lighthouses all the time, and

633
00:33:57,520 --> 00:34:02,320
Speaker 1: we met like Peter Benchley's you like, ran the lighthouse there.

634
00:34:02,360 --> 00:34:06,440
Speaker 1: He was really cool actually though, so so that was

635
00:34:06,480 --> 00:34:09,439
Speaker 1: my cool part of Nantucket. But I could see it's

636
00:34:09,480 --> 00:34:12,480
Speaker 1: like it seems like it's like very snobby, very clicky,

637
00:34:12,920 --> 00:34:17,160
Speaker 1: very money and like and and with that comes cocaine

638
00:34:17,200 --> 00:34:21,640
Speaker 1: and apparently very good cocaine because the water left the

639
00:34:21,680 --> 00:34:25,359
Speaker 1: water levels are showing high levels of cocaine but very

640
00:34:25,440 --> 00:34:27,880
Speaker 1: low levels of things like vent and all and stuff

641
00:34:27,920 --> 00:34:30,960
Speaker 1: that you would find in like when people aren't getting

642
00:34:31,000 --> 00:34:34,320
Speaker 1: good shit, and these people are getting sure, they're getting

643
00:34:34,440 --> 00:34:39,239
Speaker 1: very pure cocaine and fifty percent higher levels in Nantucket

644
00:34:39,239 --> 00:34:41,920
Speaker 1: water than the rest of the water around the United

645
00:34:41,960 --> 00:34:47,200
Speaker 1: States that gets treated. So it's really it's really really interesting.

646
00:34:47,480 --> 00:34:50,960
Speaker 1: And there's there's low levels of of like trashier drugs

647
00:34:51,040 --> 00:34:55,520
Speaker 1: like meth and likerings like yeah drank stuff like that.

648
00:34:55,680 --> 00:35:00,000
Speaker 1: So it's it's just like it's cool because they said, wait,

649
00:35:00,040 --> 00:35:02,040
Speaker 1: hold on, let me look at this really quick because

650
00:35:02,080 --> 00:35:06,279
Speaker 1: this is interesting. So it says that, so let me

651
00:35:06,360 --> 00:35:09,520
Speaker 1: say how many people live there. There's fourteen to fifteen

652
00:35:09,600 --> 00:35:13,680
Speaker 1: thousand residents there all year, but they said they could

653
00:35:13,719 --> 00:35:18,080
Speaker 1: get up to eighty thousand visitors. But they're saying that

654
00:35:18,120 --> 00:35:22,040
Speaker 1: the water, it appears that the water is that they

655
00:35:22,080 --> 00:35:27,640
Speaker 1: test it is coming from almost three fourths of the

656
00:35:27,719 --> 00:35:32,319
Speaker 1: homes on the island. Okay, so they're trying to say

657
00:35:32,320 --> 00:35:36,960
Speaker 1: that they're able to test. This is like, it's kind

658
00:35:36,960 --> 00:35:39,440
Speaker 1: of weird because it seems like an invasion of privacy.

659
00:35:39,480 --> 00:35:42,960
Speaker 1: But overall they can't tell whose house it's coming from,

660
00:35:43,239 --> 00:35:46,760
Speaker 1: but they can test like do like a regional drug test.

661
00:35:46,800 --> 00:35:51,480
Speaker 1: Almost so of the water of three fourths of the island,

662
00:35:51,560 --> 00:35:54,520
Speaker 1: there's these high levels of a cocaine from like personal

663
00:35:54,760 --> 00:35:58,960
Speaker 1: use from homes. So they're either rentals or they're people

664
00:35:59,000 --> 00:36:01,879
Speaker 1: that live there. But it's you know, when I went

665
00:36:01,920 --> 00:36:04,000
Speaker 1: and visited, I didn't sleep over. There's a lot of

666
00:36:04,000 --> 00:36:05,799
Speaker 1: people that just because you could take the ferry, you

667
00:36:05,840 --> 00:36:07,640
Speaker 1: just go for a couple hours and then you leave.

668
00:36:08,239 --> 00:36:11,520
Speaker 1: So this is specific to people that are either living

669
00:36:11,560 --> 00:36:15,160
Speaker 1: there or there for the summer, or they're renting, but

670
00:36:16,280 --> 00:36:20,600
Speaker 1: it's coming from the houses it is. It is just

671
00:36:20,280 --> 00:36:23,640
Speaker 1: such just it's interesting, and they can't like they're saying,

672
00:36:23,640 --> 00:36:26,640
Speaker 1: they're not invading privacy because they can't pinpoint it to

673
00:36:26,680 --> 00:36:29,280
Speaker 1: whose house it is. It's just like a generalized pool

674
00:36:29,320 --> 00:36:33,759
Speaker 1: of water. But it's cool. It's it's cool in the

675
00:36:33,840 --> 00:36:37,919
Speaker 1: sense scientifically because let's say you came to our town

676
00:36:37,960 --> 00:36:40,560
Speaker 1: in New Jersey, you would definitely find a different composition

677
00:36:40,680 --> 00:36:45,120
Speaker 1: of drugs in the water here as opposed to there,

678
00:36:45,200 --> 00:36:46,880
Speaker 1: and then other places, you know what I mean, like

679
00:36:46,920 --> 00:36:50,879
Speaker 1: different places. It's just it's it's something that's kind of

680
00:36:51,640 --> 00:36:53,480
Speaker 1: I don't know, I just think it's like it's kind

681
00:36:53,480 --> 00:36:54,120
Speaker 1: of interesting.

682
00:36:54,680 --> 00:36:57,200
Speaker 2: Did you also see this cool fact that they were

683
00:36:57,239 --> 00:37:00,279
Speaker 2: saying before a drug raid most of the time will

684
00:37:00,320 --> 00:37:03,839
Speaker 2: shut the water off so that, uh, whoever's in the house,

685
00:37:03,920 --> 00:37:06,879
Speaker 2: they can't flush any drugs.

686
00:37:05,560 --> 00:37:08,120
Speaker 1: Like Loreina Broco and Goodfellas.

687
00:37:08,360 --> 00:37:10,960
Speaker 2: Yeah, like they can't, they can't do it at all.

688
00:37:11,080 --> 00:37:14,280
Speaker 2: They just have to whatever they put down the toilet

689
00:37:14,280 --> 00:37:16,319
Speaker 2: they'll be able to get so they can't get away

690
00:37:16,320 --> 00:37:16,520
Speaker 2: with it.

691
00:37:16,600 --> 00:37:19,000
Speaker 1: Yeah, So it was interesting because they were saying like

692
00:37:19,080 --> 00:37:23,160
Speaker 1: sometimes the water could have so so there was the

693
00:37:23,200 --> 00:37:27,919
Speaker 1: biggest cocaine drug bust recently in Nantucket where this guy

694
00:37:28,000 --> 00:37:31,120
Speaker 1: had five and a half pounds of cocaine. Right, So

695
00:37:31,280 --> 00:37:35,160
Speaker 1: let's say that guy it didn't get caught with that

696
00:37:35,280 --> 00:37:38,240
Speaker 1: and he flushed it down the toilet, right. Well, obviously

697
00:37:38,280 --> 00:37:40,960
Speaker 1: the water is going to have a high concentration of cocaine.

698
00:37:41,040 --> 00:37:43,560
Speaker 1: So they were saying that that could affect it sometimes,

699
00:37:43,800 --> 00:37:45,799
Speaker 1: but they were saying that they don't think that's the

700
00:37:45,920 --> 00:37:48,840
Speaker 1: case in this case because it was spread out over

701
00:37:48,960 --> 00:37:53,480
Speaker 1: such a long period of time that it didn't seem like, Okay,

702
00:37:53,520 --> 00:37:55,560
Speaker 1: the levels were this, and then all of a sudden,

703
00:37:55,600 --> 00:37:57,279
Speaker 1: one day after a drug bust, it was like this

704
00:37:57,440 --> 00:37:59,480
Speaker 1: high and now they went back to this. It's been

705
00:37:59,560 --> 00:38:03,560
Speaker 1: like high the whole time, and it's just it's just

706
00:38:03,680 --> 00:38:08,760
Speaker 1: interesting to think about, like what groups of people use drugs,

707
00:38:08,800 --> 00:38:12,720
Speaker 1: and it's it's just very telling of that whole entire

708
00:38:12,960 --> 00:38:15,880
Speaker 1: scene that I witnessed there. Although I will say I

709
00:38:16,080 --> 00:38:20,000
Speaker 1: ate at this really crazy. It was like a weird restaurant.

710
00:38:20,120 --> 00:38:24,160
Speaker 1: It was kind of like outside on a lawn, and

711
00:38:24,480 --> 00:38:27,520
Speaker 1: I had the like it was the best food. It

712
00:38:27,640 --> 00:38:29,160
Speaker 1: was so so so good.

713
00:38:29,120 --> 00:38:31,680
Speaker 2: It better be for what it cost to go visits

714
00:38:31,760 --> 00:38:35,800
Speaker 2: was it was just like lobster like a lobster Roles situation,

715
00:38:35,960 --> 00:38:38,600
Speaker 2: like all of this like super fresh seafood and stuff.

716
00:38:38,640 --> 00:38:41,319
Speaker 1: But it was so awkward because Gabe and I were

717
00:38:41,360 --> 00:38:44,960
Speaker 1: like sitting it was like a green field and all

718
00:38:45,000 --> 00:38:48,680
Speaker 1: of these like white umbrellas and we're sitting there at

719
00:38:48,719 --> 00:38:52,560
Speaker 1: a table like amongst all of these people.

720
00:38:52,719 --> 00:38:54,879
Speaker 2: And you're wearing black, looking like a beef.

721
00:38:55,239 --> 00:38:57,919
Speaker 1: But let me yes, but let me tell you that

722
00:38:57,920 --> 00:39:01,879
Speaker 1: that that the Eventually dude I don't remember his first name,

723
00:39:01,920 --> 00:39:04,200
Speaker 1: and I feel really rude even saying that, but he

724
00:39:04,400 --> 00:39:08,160
Speaker 1: was so awesome, Like we went to the lighthouse. He

725
00:39:08,280 --> 00:39:10,960
Speaker 1: like brought us there and talked to Gabe for like

726
00:39:11,000 --> 00:39:14,120
Speaker 1: an hour and he was just so cool and we

727
00:39:14,120 --> 00:39:17,440
Speaker 1: were and he's been like obviously like his family is

728
00:39:17,640 --> 00:39:23,160
Speaker 1: in that whole you know, Cape Cod Island situation because

729
00:39:23,160 --> 00:39:25,439
Speaker 1: of Jaws and everything like that, like they lived there

730
00:39:25,520 --> 00:39:27,560
Speaker 1: and they He was like super cool, but some of

731
00:39:27,600 --> 00:39:31,160
Speaker 1: the other people were like definitely, I felt like Julia

732
00:39:31,320 --> 00:39:34,000
Speaker 1: robertson Pretty Woman when they're like, we don't have anything

733
00:39:34,040 --> 00:39:34,840
Speaker 1: for you here.

734
00:39:35,560 --> 00:39:38,600
Speaker 2: Christy Ars. I just read this really good book. It's

735
00:39:38,600 --> 00:39:40,839
Speaker 2: a fiction book called The Wedding People, and it's set

736
00:39:40,880 --> 00:39:44,200
Speaker 2: in a similar climate like that. But the narrator of

737
00:39:44,239 --> 00:39:47,280
Speaker 2: the story is going through just how like douchey the areas,

738
00:39:47,320 --> 00:39:49,680
Speaker 2: and she's like, they even have a coconut pillow at

739
00:39:49,680 --> 00:39:52,520
Speaker 2: this hotel, and then I'm like, I kind of want that.

740
00:39:54,560 --> 00:39:57,399
Speaker 1: I don't know, it was definitely, it was definitely like that,

741
00:39:57,480 --> 00:40:00,000
Speaker 1: Like we stuck out like a sore thumb like listen

742
00:40:00,000 --> 00:40:03,520
Speaker 1: and I would love to. I mean it was. It

743
00:40:03,600 --> 00:40:07,040
Speaker 1: was beautiful, like the hydrangea in the houses, and we

744
00:40:07,160 --> 00:40:09,520
Speaker 1: just drove around and it just was so so so nice.

745
00:40:09,600 --> 00:40:11,680
Speaker 1: I mean, I see why people want to go there

746
00:40:11,719 --> 00:40:12,480
Speaker 1: and do cocaine.

747
00:40:12,719 --> 00:40:15,640
Speaker 2: To be honest, I can see cocaine as such like

748
00:40:15,760 --> 00:40:18,120
Speaker 2: an eighties drug. I'm like, who does it anymore? And

749
00:40:18,239 --> 00:40:20,400
Speaker 2: especially who does it with ventanyl going around? But I

750
00:40:20,400 --> 00:40:22,520
Speaker 2: guess if you had enough money, that's not a concern

751
00:40:22,600 --> 00:40:25,400
Speaker 2: for you because there was not very high ventanyl levels

752
00:40:25,400 --> 00:40:25,920
Speaker 2: in the water.

753
00:40:26,120 --> 00:40:30,759
Speaker 1: So yeah, I never I never got cocaine either. But

754
00:40:31,880 --> 00:40:32,880
Speaker 1: to each his own.

755
00:40:33,080 --> 00:40:37,240
Speaker 2: An interesting observation. Okay, So this last story we have today,

756
00:40:37,360 --> 00:40:39,520
Speaker 2: This listener from the UK sent this in and said,

757
00:40:39,520 --> 00:40:41,640
Speaker 2: it's not really a huge story over there, which I

758
00:40:41,640 --> 00:40:45,080
Speaker 2: can't believe because you know, every week we get super

759
00:40:45,080 --> 00:40:47,200
Speaker 2: disturbing stories and I don't want to say like summer

760
00:40:47,320 --> 00:40:49,719
Speaker 2: worse than the others, but this is definitely up there.

761
00:40:50,280 --> 00:40:52,799
Speaker 2: So back in twenty twenty one, this woman's baby died

762
00:40:52,840 --> 00:40:54,799
Speaker 2: at three weeks old due to brain damage, and a

763
00:40:54,840 --> 00:40:58,000
Speaker 2: loved one suggested using this company called Flory's Army, which

764
00:40:58,040 --> 00:41:01,840
Speaker 2: specialize in babylaw support and fewnroals. So this company was

765
00:41:01,880 --> 00:41:04,400
Speaker 2: set up by this woman, Amy Upton in twenty seventeen

766
00:41:04,480 --> 00:41:08,000
Speaker 2: after her daughter was stillborn. They offer free hand prints, photographs,

767
00:41:08,000 --> 00:41:11,879
Speaker 2: baby clothing, and dedicated funeral services for babies. So this

768
00:41:12,000 --> 00:41:15,920
Speaker 2: child who passed away was picked up by somebody on

769
00:41:16,000 --> 00:41:19,160
Speaker 2: behalf of Florrie's Army. The next day, the mom goes

770
00:41:19,200 --> 00:41:21,640
Speaker 2: to visit and is horrified to see that her dead

771
00:41:21,760 --> 00:41:25,000
Speaker 2: child is propped up in a baby bouncer. Quote watching

772
00:41:25,080 --> 00:41:28,640
Speaker 2: cartoons with this woman that founded this funeral company.

773
00:41:29,920 --> 00:41:33,560
Speaker 1: Yeah, I mean this shit is weird. Listen, I'm gonna

774
00:41:33,560 --> 00:41:36,279
Speaker 1: say this. I know a couple of people throughout my

775
00:41:36,400 --> 00:41:39,480
Speaker 1: life that have either had a stillborn or lost a baby,

776
00:41:40,800 --> 00:41:45,200
Speaker 1: either I know them directly or indirectly through other people,

777
00:41:46,080 --> 00:41:52,440
Speaker 1: and the reaction that differ everyone's reaction to death is different,

778
00:41:52,440 --> 00:41:54,760
Speaker 1: and we know this even when adults die and people

779
00:41:54,960 --> 00:41:59,040
Speaker 1: that are ninety years old die. Everybody's reactions different. And

780
00:42:00,200 --> 00:42:03,319
Speaker 1: I know of a couple of people who have had

781
00:42:03,400 --> 00:42:07,560
Speaker 1: a baby die or a stillborn and they they're just like,

782
00:42:08,480 --> 00:42:10,840
Speaker 1: this sucks, but they move on with life and they're

783
00:42:10,880 --> 00:42:14,279
Speaker 1: just kind of you know, going on as normal. And

784
00:42:14,320 --> 00:42:18,359
Speaker 1: then others that like just completely go off the deep

785
00:42:18,480 --> 00:42:20,960
Speaker 1: end and never really, I don't want to say anybody

786
00:42:21,000 --> 00:42:24,080
Speaker 1: ever gets over it, but never it is still in

787
00:42:24,120 --> 00:42:28,759
Speaker 1: that moment of of of like the intensity of the

788
00:42:29,360 --> 00:42:32,640
Speaker 1: new death and not, you know, five years later, just

789
00:42:32,680 --> 00:42:36,759
Speaker 1: like completely detached from reality in a way of like

790
00:42:37,760 --> 00:42:43,000
Speaker 1: things moving on right, yeah, and not judging anyone, because

791
00:42:43,080 --> 00:42:45,920
Speaker 1: I can't imagine that I would probably be more in

792
00:42:46,000 --> 00:42:48,600
Speaker 1: that category if it happened to me, for sure. But

793
00:42:49,160 --> 00:42:53,319
Speaker 1: so this lady had a stillborn and started this organization

794
00:42:53,480 --> 00:42:57,120
Speaker 1: for people that lost babies, which is which is great.

795
00:42:57,160 --> 00:42:59,920
Speaker 1: A lot of times when people have a huge law

796
00:43:00,280 --> 00:43:03,040
Speaker 1: like that, they start some kind of organization to not

797
00:43:03,080 --> 00:43:06,040
Speaker 1: only help them, but to help other people too. And

798
00:43:07,440 --> 00:43:10,319
Speaker 1: I don't know what happened, but there appears there had

799
00:43:10,360 --> 00:43:12,520
Speaker 1: been a lot of complaints over the years, and this

800
00:43:12,600 --> 00:43:18,120
Speaker 1: woman had a very unusual attachment to dead babies and

801
00:43:18,239 --> 00:43:21,719
Speaker 1: had it in a freaking bouncer watching PJ masks a

802
00:43:21,760 --> 00:43:25,680
Speaker 1: dead a dead baby like well, and even the mother

803
00:43:25,800 --> 00:43:28,680
Speaker 1: of that dead baby was like, this is freaking weird.

804
00:43:29,160 --> 00:43:30,920
Speaker 1: This is weird. It's weird.

805
00:43:30,960 --> 00:43:33,600
Speaker 2: And then she's looking around the room and she sees

806
00:43:33,680 --> 00:43:37,080
Speaker 2: another dead child on the couch, and then there's just

807
00:43:37,120 --> 00:43:40,880
Speaker 2: like animals all over the house too. So you're you know,

808
00:43:41,000 --> 00:43:43,440
Speaker 2: you're first of all going through the trauma of just

809
00:43:43,480 --> 00:43:46,560
Speaker 2: having lost a baby, and then you're trying to do

810
00:43:46,600 --> 00:43:49,520
Speaker 2: anything you can agree to give this child some respectful

811
00:43:49,600 --> 00:43:52,960
Speaker 2: burial of sorts. And you walk into this lady's house

812
00:43:53,640 --> 00:43:57,200
Speaker 2: and see you're kase she's watch PJ Masks with us.

813
00:43:57,280 --> 00:43:59,439
Speaker 1: It was like that, like that's what happened. She didn't

814
00:43:59,440 --> 00:44:01,279
Speaker 1: even it wasn't like she was trying to hide it.

815
00:44:01,320 --> 00:44:02,320
Speaker 1: She didn't think it was weird.

816
00:44:02,760 --> 00:44:03,880
Speaker 2: She didn't think it was weird at all.

817
00:44:04,000 --> 00:44:08,360
Speaker 1: Yeah, and that's like a detachment from reality. There's something

818
00:44:08,719 --> 00:44:10,359
Speaker 1: mentally going on there, and.

819
00:44:10,360 --> 00:44:12,280
Speaker 2: There's the other dead child on the couch.

820
00:44:12,640 --> 00:44:15,399
Speaker 1: Well, probably someone else, someone else that she was dealing

821
00:44:15,480 --> 00:44:18,680
Speaker 1: with from another hospital. So the question comes up because

822
00:44:19,120 --> 00:44:20,640
Speaker 1: and this is the UK, so I don't know how

823
00:44:20,640 --> 00:44:23,880
Speaker 1: they do things over there. But as far as here

824
00:44:24,000 --> 00:44:27,520
Speaker 1: goes like, you can't just go to you can't just

825
00:44:27,560 --> 00:44:30,040
Speaker 1: go to the hospital and pick up a dead body.

826
00:44:30,640 --> 00:44:33,360
Speaker 1: There has we We wouldn't release the body unless it

827
00:44:33,400 --> 00:44:36,600
Speaker 1: was to a funeral director or to the medical examiner's

828
00:44:36,640 --> 00:44:41,279
Speaker 1: office or to you know, So, who is this? What's

829
00:44:41,320 --> 00:44:42,719
Speaker 1: the name of her organization?

830
00:44:43,280 --> 00:44:46,520
Speaker 2: It's Florie's Army, which in my head, her name's Amy,

831
00:44:46,680 --> 00:44:48,759
Speaker 2: and I keep seeing Amy an army, and I know

832
00:44:48,840 --> 00:44:50,680
Speaker 2: at some point I'm going to mispronounce it, but the

833
00:44:50,680 --> 00:44:53,279
Speaker 2: company's called Florie's Army because I think her daughter that

834
00:44:53,360 --> 00:44:54,680
Speaker 2: was still born's name was Floren.

835
00:44:54,840 --> 00:44:58,040
Speaker 1: So even if there's organizations that do things like that

836
00:44:58,080 --> 00:45:01,480
Speaker 1: in America, they wouldn't really release the body to that person.

837
00:45:01,480 --> 00:45:03,359
Speaker 1: They would release it to a funeral home and then

838
00:45:04,320 --> 00:45:07,480
Speaker 1: go from there. So when they pulled the records, it

839
00:45:07,520 --> 00:45:11,120
Speaker 1: seems as if she had some kind of affiliation with

840
00:45:11,160 --> 00:45:13,560
Speaker 1: some funeral home because they did release the body to

841
00:45:13,719 --> 00:45:16,680
Speaker 1: a licensed funeral director. So I don't know what that

842
00:45:16,960 --> 00:45:20,919
Speaker 1: what's going on with that relationship, But apparently in the UK,

843
00:45:21,040 --> 00:45:26,359
Speaker 1: the funeral director the funeral businesses in general aren't very regulated,

844
00:45:26,800 --> 00:45:31,800
Speaker 1: so there are like regulatory agencies that oversee funeral homes

845
00:45:31,800 --> 00:45:36,440
Speaker 1: that people can join, I guess, and they have standards

846
00:45:36,480 --> 00:45:38,719
Speaker 1: that these If you're going to be in their association,

847
00:45:38,840 --> 00:45:42,600
Speaker 1: you have to follow these standards. But you don't have

848
00:45:42,719 --> 00:45:45,520
Speaker 1: to be in one of those associations to have a

849
00:45:45,520 --> 00:45:48,920
Speaker 1: funeral business. I think one of the only requirements is

850
00:45:48,920 --> 00:45:52,400
Speaker 1: to have some kind of a storage for a cold

851
00:45:52,440 --> 00:45:56,520
Speaker 1: storage to prevent decomposition, which it appears that this woman

852
00:45:57,360 --> 00:46:00,719
Speaker 1: had some sort of cold storage or some kind of

853
00:46:00,760 --> 00:46:02,080
Speaker 1: way to keep the body cold.

854
00:46:03,040 --> 00:46:06,399
Speaker 2: So I don't know if she was registered with any

855
00:46:06,480 --> 00:46:09,239
Speaker 2: of those entities, though I'm now it doesn't seem like

856
00:46:09,280 --> 00:46:11,719
Speaker 2: she was. But that's not illegal in.

857
00:46:12,000 --> 00:46:13,400
Speaker 1: The UK, No, it's not.

858
00:46:13,640 --> 00:46:16,360
Speaker 2: And then another interesting thing our listeners sent in was

859
00:46:16,400 --> 00:46:20,200
Speaker 2: that this organization has a Facebook page where this woman

860
00:46:20,840 --> 00:46:23,960
Speaker 2: is posting photos of at least her dead child back

861
00:46:24,000 --> 00:46:27,759
Speaker 2: from twenty seventeen, and I can't believe those things don't

862
00:46:27,760 --> 00:46:30,560
Speaker 2: get flagged. I mean, I guess if you're seeing it

863
00:46:30,560 --> 00:46:33,680
Speaker 2: as people that have stillborns and stuff post their dead

864
00:46:33,760 --> 00:46:35,600
Speaker 2: kids all the time. I see it all the time,

865
00:46:35,880 --> 00:46:38,600
Speaker 2: and that's fine if that's what people want to do.

866
00:46:40,480 --> 00:46:42,399
Speaker 2: If she wants to do that with her own kids,

867
00:46:42,400 --> 00:46:46,879
Speaker 2: she can, that's fine. She shouldn't do it with other

868
00:46:46,920 --> 00:46:49,760
Speaker 2: people's kids, for sure. Especially This is the thing from

869
00:46:50,680 --> 00:46:54,719
Speaker 2: I guess from a consumer standpoint in the UK. You

870
00:46:54,800 --> 00:46:59,000
Speaker 2: have a stillborn you're incredibly upset. You do some Google

871
00:46:59,040 --> 00:47:02,000
Speaker 2: searches and come across an organization like that. How is

872
00:47:02,040 --> 00:47:04,880
Speaker 2: the regular average person going to know that they're not

873
00:47:05,640 --> 00:47:09,200
Speaker 2: like you would just assume that the country or the

874
00:47:09,239 --> 00:47:12,319
Speaker 2: state that you're living in is overseeing things like this

875
00:47:13,200 --> 00:47:16,640
Speaker 2: and they're not. Well. I guess where I'm at right

876
00:47:16,680 --> 00:47:19,319
Speaker 2: now is you know what we've talked about with all

877
00:47:19,360 --> 00:47:22,640
Speaker 2: these airplane accidents too. Have these things just been going

878
00:47:22,680 --> 00:47:25,400
Speaker 2: on all the time, and they're more sensationalized as of

879
00:47:25,480 --> 00:47:28,759
Speaker 2: late with social media. You know, the BBC just did

880
00:47:28,800 --> 00:47:30,960
Speaker 2: an investigation and this is kind of why all this

881
00:47:31,040 --> 00:47:33,560
Speaker 2: information just coming out now, even though this happened a

882
00:47:33,600 --> 00:47:38,359
Speaker 2: few years ago. We just talked about that story last

883
00:47:38,400 --> 00:47:40,839
Speaker 2: week too, with that other funeral home in Colorado where

884
00:47:40,840 --> 00:47:43,600
Speaker 2: they had bodies hidden behind the door. And by the way,

885
00:47:43,640 --> 00:47:46,399
Speaker 2: that guy stepped down he resigned as a coroner as

886
00:47:46,440 --> 00:47:49,600
Speaker 2: he should have. He should have get fired exactly.

887
00:47:49,640 --> 00:47:53,759
Speaker 1: They shouldn't even have gave him that opportunity because honestly, like,

888
00:47:54,520 --> 00:47:57,400
Speaker 1: I don't know how that works in that particular jurisdiction,

889
00:47:57,560 --> 00:48:02,400
Speaker 1: but I assuming that would be a pension job. Well yeah,

890
00:48:02,280 --> 00:48:05,680
Speaker 1: so so he's gonna be able to just retire and

891
00:48:05,680 --> 00:48:08,960
Speaker 1: get his pension now, Like, well, no, the people that

892
00:48:09,080 --> 00:48:11,560
Speaker 1: live there really need to fight that because that's bullshit,

893
00:48:11,600 --> 00:48:13,920
Speaker 1: because that's taxpayer money. That's bullshit.

894
00:48:14,719 --> 00:48:17,680
Speaker 2: Yeah, I'm just wondering exactly what prompted the BBC to

895
00:48:17,840 --> 00:48:20,480
Speaker 2: just investigate this now? Have they been doing it for years?

896
00:48:20,600 --> 00:48:23,000
Speaker 2: Did they watch the mortician and see what was going

897
00:48:23,040 --> 00:48:24,000
Speaker 2: on with this? God?

898
00:48:24,320 --> 00:48:29,280
Speaker 1: You know, so this particular organization for these dead babies

899
00:48:29,360 --> 00:48:34,400
Speaker 1: has been they've had complaints before. I don't know what

900
00:48:34,440 --> 00:48:35,600
Speaker 1: the complaints are.

901
00:48:35,440 --> 00:48:38,080
Speaker 2: But they said only two that were investigated by police

902
00:48:38,120 --> 00:48:39,640
Speaker 2: and they didn't find any wrongdoing.

903
00:48:40,239 --> 00:48:44,120
Speaker 1: But the hospital that's affiliated with this is saying that

904
00:48:45,800 --> 00:48:50,600
Speaker 1: they they aren't affiliated with her, so they said she's

905
00:48:50,680 --> 00:48:53,600
Speaker 1: not allowed anymore. It seems to go to the maternity

906
00:48:53,640 --> 00:48:56,360
Speaker 1: floors unless she's a patient. Unless she's a patient, but

907
00:48:56,440 --> 00:49:01,400
Speaker 1: she was before well yeah, yeah, and like from a

908
00:49:01,400 --> 00:49:05,480
Speaker 1: hospital perspective, you're like, Okay, there's this outside organization that

909
00:49:05,520 --> 00:49:08,040
Speaker 1: comes in and helps mothers deal with dead babies, like

910
00:49:08,120 --> 00:49:10,799
Speaker 1: of course, Like why wouldn't you let them in? Right?

911
00:49:10,960 --> 00:49:15,360
Speaker 2: Like of course, because you know it's an unfathomable tragedy,

912
00:49:15,480 --> 00:49:18,000
Speaker 2: so you want to do anything as possible to provide

913
00:49:18,000 --> 00:49:20,319
Speaker 2: the family with resources to help them get through it.

914
00:49:20,360 --> 00:49:23,160
Speaker 2: You don't think this lady's like taking their kid home

915
00:49:23,200 --> 00:49:26,240
Speaker 2: and like watching cartoons and acting like it's normal.

916
00:49:26,239 --> 00:49:29,080
Speaker 1: That I have no idea it is. It is just

917
00:49:29,160 --> 00:49:34,720
Speaker 1: really it's really bizarre, and I just the whole entire

918
00:49:34,760 --> 00:49:38,560
Speaker 1: thing is bizarre. But I guess this mother assumed. There's

919
00:49:38,600 --> 00:49:40,680
Speaker 1: a lot of assuming in the world. This is why people.

920
00:49:40,719 --> 00:49:43,399
Speaker 1: Can you assume that this is a funeral home that's

921
00:49:43,440 --> 00:49:47,279
Speaker 1: picking up the kids, So that's that's what she did.

922
00:49:48,080 --> 00:49:51,640
Speaker 1: And that's the problem when you're like, you want to say, okay,

923
00:49:51,680 --> 00:49:55,279
Speaker 1: make sure you're using it an accredited a funeral home

924
00:49:55,320 --> 00:49:58,520
Speaker 1: in the UK by these organizations, but like, average people

925
00:49:58,600 --> 00:50:01,720
Speaker 1: just don't think about that, especially if a death comes unexpected.

926
00:50:02,680 --> 00:50:04,640
Speaker 2: Well, that's exactly what I was gonna say. There's a

927
00:50:04,719 --> 00:50:07,719
Speaker 2: level of shock and like is your first priority when

928
00:50:07,719 --> 00:50:09,719
Speaker 2: you've just lost a child, being like, let me make

929
00:50:09,719 --> 00:50:12,319
Speaker 2: sure this funeral home is accredited. You're not in your

930
00:50:12,440 --> 00:50:13,280
Speaker 2: right senses.

931
00:50:13,480 --> 00:50:17,640
Speaker 1: Average people just just wouldn't even know to do that.

932
00:50:17,880 --> 00:50:20,359
Speaker 1: You just think, oh, they say they're a funeral home,

933
00:50:20,440 --> 00:50:21,880
Speaker 1: let's say no.

934
00:50:22,120 --> 00:50:25,640
Speaker 2: So I mean, this Facebook page was posting as of

935
00:50:25,760 --> 00:50:28,480
Speaker 2: July twenty ninth. I don't know if the services are

936
00:50:28,480 --> 00:50:31,799
Speaker 2: going to continue or what's gonna happen, but I just

937
00:50:31,880 --> 00:50:35,439
Speaker 2: think it's really disturbing, and I just hope the whole

938
00:50:35,440 --> 00:50:37,600
Speaker 2: thing gets shut down, honestly, because I think if she

939
00:50:37,760 --> 00:50:40,640
Speaker 2: was really trying to do the right thing, it's just

940
00:50:40,719 --> 00:50:43,120
Speaker 2: gone so far south at this point that you maybe

941
00:50:43,200 --> 00:50:46,200
Speaker 2: need to take a step back and reevaluate the goals

942
00:50:46,200 --> 00:50:48,000
Speaker 2: of your business and how you're handling it.

943
00:50:48,480 --> 00:50:51,239
Speaker 1: Do you remember that one case, that high profile death

944
00:50:51,239 --> 00:50:53,279
Speaker 1: dis section we did in the gross room about that

945
00:50:53,320 --> 00:50:56,480
Speaker 1: guy that was like digging up dead children and stuffing

946
00:50:56,480 --> 00:50:59,160
Speaker 1: them and making them dolls and like kind of doing

947
00:50:59,200 --> 00:51:02,520
Speaker 1: a similar not obviously she wasn't well. I don't know

948
00:51:02,560 --> 00:51:04,799
Speaker 1: if she was embombing them. I mean, she she had

949
00:51:04,800 --> 00:51:06,799
Speaker 1: to do something or else they would have been decomposing,

950
00:51:06,840 --> 00:51:09,600
Speaker 1: but like propping them up and like having them watch

951
00:51:09,680 --> 00:51:12,000
Speaker 1: TV with him and stuff. It was so weird.

952
00:51:12,800 --> 00:51:15,440
Speaker 2: Well, yeah, that was hands down one of the worst

953
00:51:15,480 --> 00:51:18,680
Speaker 2: ones we've ever done, because there's a million pictures associated

954
00:51:18,680 --> 00:51:19,759
Speaker 2: with it too, and just.

955
00:51:19,680 --> 00:51:22,799
Speaker 1: Looking at their me that's automatically what I thought of, though,

956
00:51:22,920 --> 00:51:26,920
Speaker 1: is like thinking about like a dead child propped up

957
00:51:26,920 --> 00:51:30,280
Speaker 1: as a doll, Like why, Like it's so bizarre, It's

958
00:51:30,400 --> 00:51:31,000
Speaker 1: really weird.

959
00:51:31,560 --> 00:51:33,560
Speaker 2: Okay, let's move on to Questions of the Week. Every

960
00:51:33,560 --> 00:51:35,719
Speaker 2: Friday on the at mother Nose Death Instagram account, you

961
00:51:35,719 --> 00:51:38,000
Speaker 2: could head over to our story ask us whatever you want.

962
00:51:38,760 --> 00:51:41,279
Speaker 2: Do families have to pay for autopsies done against their

963
00:51:41,320 --> 00:51:43,600
Speaker 2: wishes like in investigations, et cetera.

964
00:51:44,200 --> 00:51:47,240
Speaker 1: Now they don't. The only time that a family would

965
00:51:47,280 --> 00:51:50,799
Speaker 1: have to pay for an autopsy even really, I mean

966
00:51:51,320 --> 00:51:55,560
Speaker 1: the couple hospitals that I worked at and the ones

967
00:51:55,560 --> 00:51:58,399
Speaker 1: that I interned at as well, if you died in

968
00:51:58,440 --> 00:52:02,280
Speaker 1: the hospital and you wanted an autopsy, they were free

969
00:52:02,880 --> 00:52:07,719
Speaker 1: because that was a service that number one, the hospital provides.

970
00:52:07,719 --> 00:52:11,040
Speaker 1: But number two, we need bodies for training for medical

971
00:52:11,120 --> 00:52:15,200
Speaker 1: students and for pathology residents. So that the only time

972
00:52:15,239 --> 00:52:19,120
Speaker 1: that we've done autopsies that people have had to pay

973
00:52:19,160 --> 00:52:23,000
Speaker 1: for is if someone calls would call the hospital and

974
00:52:23,040 --> 00:52:25,600
Speaker 1: say they want to do a private autopsy, which means

975
00:52:26,040 --> 00:52:28,799
Speaker 1: maybe there the body got sent to the medical Examiner's

976
00:52:28,800 --> 00:52:31,000
Speaker 1: office and the medical examiner said, we're not going to

977
00:52:31,000 --> 00:52:33,480
Speaker 1: do an autopsy, we don't think it's necessary, and the

978
00:52:33,520 --> 00:52:36,719
Speaker 1: family's like, no, this is suspicious, I want it done.

979
00:52:36,800 --> 00:52:39,920
Speaker 1: Then you would have to pay for it for a

980
00:52:39,960 --> 00:52:43,040
Speaker 1: private autopsy. And sometimes even if you have an autopsy

981
00:52:43,080 --> 00:52:44,719
Speaker 1: and you want to do like a second autopsy or

982
00:52:44,800 --> 00:52:47,719
Speaker 1: second review, you would pay for that as well. But

983
00:52:48,200 --> 00:52:50,719
Speaker 1: we actually had a rule because we worked in an

984
00:52:50,760 --> 00:52:53,360
Speaker 1: academic center and like I said, we just needed bodies

985
00:52:53,400 --> 00:52:56,720
Speaker 1: to do dis sections on for the residents. We would

986
00:52:56,760 --> 00:53:00,719
Speaker 1: actually say, even if a person didn't die the hospital,

987
00:53:00,800 --> 00:53:03,360
Speaker 1: if they were ever a patient of our whole entire

988
00:53:04,000 --> 00:53:07,239
Speaker 1: medical institute, that we would do the autopsy for free.

989
00:53:08,000 --> 00:53:11,719
Speaker 2: Where do private autopsies get done? Like if you were

990
00:53:11,719 --> 00:53:15,320
Speaker 2: going to hide because didn't they have a doctor Boden

991
00:53:15,440 --> 00:53:17,800
Speaker 2: do Epstein's like, where would that be performed?

992
00:53:17,840 --> 00:53:21,160
Speaker 1: So it sometimes like since he worked as the New

993
00:53:21,239 --> 00:53:24,680
Speaker 1: York Medical Examiner, sometimes like if he's still in good

994
00:53:24,719 --> 00:53:26,799
Speaker 1: relations with them, they would just let him come in

995
00:53:26,840 --> 00:53:30,960
Speaker 1: after hours. Sometimes it's done at a funeral home. Oftentimes

996
00:53:31,000 --> 00:53:33,640
Speaker 1: it's done at a funeral home because they have the

997
00:53:34,120 --> 00:53:38,720
Speaker 1: setup to do it. And usually like the few people

998
00:53:38,880 --> 00:53:43,000
Speaker 1: I know a couple of people that have done like autopsy,

999
00:53:43,160 --> 00:53:47,240
Speaker 1: like private autopsies like that, And like my friend Frank

1000
00:53:47,320 --> 00:53:49,640
Speaker 1: that just died, he had like his own kit that

1001
00:53:49,719 --> 00:53:51,399
Speaker 1: he would bring with him that had a bone saw

1002
00:53:51,440 --> 00:53:54,360
Speaker 1: and scalpa bleeds and things like that. Because the funeral

1003
00:53:54,400 --> 00:53:58,279
Speaker 1: home isn't going to have the exact tools that we

1004
00:53:58,320 --> 00:54:02,279
Speaker 1: would use for an autopsy they have, I'm sure I

1005
00:54:02,320 --> 00:54:04,400
Speaker 1: could get by with you know, if you have a

1006
00:54:04,440 --> 00:54:06,920
Speaker 1: scalpa blay, technically you could do an autopsy, but like

1007
00:54:07,960 --> 00:54:10,279
Speaker 1: you want your tools to be a little bit more comfortable,

1008
00:54:11,280 --> 00:54:14,879
Speaker 1: so so typically, you know, sometimes you would rent out

1009
00:54:14,920 --> 00:54:17,120
Speaker 1: space maybe in a funeral home or something like that.

1010
00:54:17,239 --> 00:54:21,080
Speaker 1: And we've had private autopsies done at the hospital too

1011
00:54:21,120 --> 00:54:24,200
Speaker 1: that that external bodies will come out and we would

1012
00:54:24,239 --> 00:54:24,799
Speaker 1: do them there.

1013
00:54:25,680 --> 00:54:29,200
Speaker 2: Okay, all right too, or autopsy performed differently if a

1014
00:54:29,239 --> 00:54:31,600
Speaker 2: body is obese compared to average.

1015
00:54:31,280 --> 00:54:35,279
Speaker 1: Weight, I would say, like a little bit, we still

1016
00:54:35,280 --> 00:54:39,279
Speaker 1: do the same procedure, but sometimes it's just a lot harder. Obviously,

1017
00:54:39,320 --> 00:54:43,640
Speaker 1: if a person's body is bigger. I've I always talk

1018
00:54:43,680 --> 00:54:45,680
Speaker 1: about this one case I had of a person that

1019
00:54:45,840 --> 00:54:49,160
Speaker 1: was considered to be super obese, which was over five

1020
00:54:49,239 --> 00:54:53,920
Speaker 1: hundred pounds and had died after surgery. And the gurney

1021
00:54:54,040 --> 00:54:56,520
Speaker 1: that this body was on was so big it didn't

1022
00:54:56,560 --> 00:54:59,000
Speaker 1: fit into our mark. So I had to cut in

1023
00:54:59,360 --> 00:55:03,359
Speaker 1: the refrigerator. And it was terrible because it's just hard

1024
00:55:03,400 --> 00:55:07,160
Speaker 1: to work when your cold, your hands don't bend right and.

1025
00:55:09,239 --> 00:55:09,520
Speaker 2: Like that.

1026
00:55:09,719 --> 00:55:13,040
Speaker 1: But it's pretty much the same. It's just a lot

1027
00:55:13,160 --> 00:55:16,319
Speaker 1: it's just a lot messier because there's a lot of

1028
00:55:16,320 --> 00:55:18,799
Speaker 1: fat in the way. But I mean, you're still going

1029
00:55:18,880 --> 00:55:20,520
Speaker 1: to look at all of the same stuff you look

1030
00:55:20,520 --> 00:55:23,160
Speaker 1: at every single body. It's just a little bit more

1031
00:55:23,200 --> 00:55:24,319
Speaker 1: difficult for us to do.

1032
00:55:25,719 --> 00:55:29,000
Speaker 2: Okay, last for Nicole, do you love your Couybella? Now

1033
00:55:29,080 --> 00:55:30,240
Speaker 2: after a few years.

1034
00:55:31,080 --> 00:55:35,600
Speaker 1: Kuybella is the oxycolic acid, and this is something that's

1035
00:55:35,719 --> 00:55:38,520
Speaker 1: naturally found in the body. But for the Kuybella, they

1036
00:55:38,520 --> 00:55:42,240
Speaker 1: made it synthetic. But it's something that would be created

1037
00:55:42,320 --> 00:55:44,439
Speaker 1: in the liver stored in the gallbladder to break down

1038
00:55:44,440 --> 00:55:46,239
Speaker 1: fat after you eat a meal. So if you eat

1039
00:55:46,239 --> 00:55:49,280
Speaker 1: a cheeseburger or that acid naturally and your body comes

1040
00:55:49,320 --> 00:55:52,520
Speaker 1: and squirts out of your gallbladder into your small bough

1041
00:55:52,640 --> 00:55:55,440
Speaker 1: and helps break down the fat. So they thought like, hey,

1042
00:55:55,560 --> 00:55:58,360
Speaker 1: let's take this technology and try to break down fat

1043
00:55:58,360 --> 00:56:02,880
Speaker 1: bite injectating it into people. And it's FDA approved and

1044
00:56:02,920 --> 00:56:06,400
Speaker 1: everything like that, and uh, doctor Dimitri did it on me.

1045
00:56:06,440 --> 00:56:09,080
Speaker 1: I'm actually going to see him today to try to

1046
00:56:09,080 --> 00:56:14,600
Speaker 1: get my uh botox before crime con. But anyway, so

1047
00:56:14,680 --> 00:56:16,600
Speaker 1: we could I could talk to him more about that

1048
00:56:16,719 --> 00:56:18,600
Speaker 1: because he might want to come on and actually talk

1049
00:56:18,640 --> 00:56:22,319
Speaker 1: about it. It's interesting. So anyway, when I got it,

1050
00:56:22,360 --> 00:56:24,719
Speaker 1: I was like ten pounds heavier or lighter than I

1051
00:56:24,760 --> 00:56:28,240
Speaker 1: am now. So now that I've gained ten pounds, usually

1052
00:56:28,280 --> 00:56:30,880
Speaker 1: I see it like a lot in my face, like

1053
00:56:31,000 --> 00:56:34,200
Speaker 1: my chain gets fatter, and I feel like it hasn't

1054
00:56:34,280 --> 00:56:38,040
Speaker 1: gotten fatter like it typically what of if I fluctuated

1055
00:56:38,160 --> 00:56:43,239
Speaker 1: and wait? So I think overall, it's good. So I've

1056
00:56:43,280 --> 00:56:46,240
Speaker 1: been happy with I think that it was it worked

1057
00:56:46,400 --> 00:56:49,600
Speaker 1: because like when I got it done, I was, like

1058
00:56:49,640 --> 00:56:52,399
Speaker 1: I said, ten pounds later. And also, god, I feel

1059
00:56:52,440 --> 00:56:56,480
Speaker 1: like I got that done before the pandemic, so I

1060
00:56:56,600 --> 00:57:02,480
Speaker 1: was younger too, and so I think I need I think, yeah,

1061
00:57:02,480 --> 00:57:06,120
Speaker 1: well you would, you would hate it. So let me

1062
00:57:06,200 --> 00:57:08,799
Speaker 1: tell you that the worst part of it was it

1063
00:57:08,880 --> 00:57:13,200
Speaker 1: was painful, like very very painful. Not it was like

1064
00:57:13,480 --> 00:57:16,160
Speaker 1: the weirdest thing because he did tell me it was

1065
00:57:16,160 --> 00:57:18,560
Speaker 1: gonna hurt. And I believe that he did inject me

1066
00:57:18,640 --> 00:57:21,880
Speaker 1: with lida kine, which they wouldn't typically do with like

1067
00:57:22,000 --> 00:57:26,880
Speaker 1: botox or something, and he gave it to me and

1068
00:57:26,960 --> 00:57:30,000
Speaker 1: it was fine. But then when I went in the

1069
00:57:30,040 --> 00:57:33,880
Speaker 1: car right from leaving his office, it hurts so so

1070
00:57:33,880 --> 00:57:38,200
Speaker 1: so bad, Like I don't know exactly what causes the

1071
00:57:38,200 --> 00:57:43,520
Speaker 1: pain like that, but like I I was borderline, like

1072
00:57:43,560 --> 00:57:45,520
Speaker 1: if I had a purposet or something right now, I

1073
00:57:45,560 --> 00:57:47,760
Speaker 1: would take it, like it hurt that bad. And I

1074
00:57:47,800 --> 00:57:50,320
Speaker 1: think I have a pretty high tolerance for pain, and

1075
00:57:50,360 --> 00:57:53,960
Speaker 1: I didn't. Luckily I just had or luckily I had

1076
00:57:54,000 --> 00:57:59,800
Speaker 1: the Motrend eight hundred whatever the you know, the ivy.

1077
00:58:00,000 --> 00:58:02,720
Speaker 2: We'll talk about how awesome i'd be profen eight hundred.

1078
00:58:03,960 --> 00:58:07,000
Speaker 1: No it it but like it didn't. The thing the

1079
00:58:07,040 --> 00:58:09,000
Speaker 1: reason that I say that I might have that I

1080
00:58:09,040 --> 00:58:11,280
Speaker 1: would have taken a pain pill if I had one,

1081
00:58:11,480 --> 00:58:14,920
Speaker 1: was because that didn't even touch it. Like it was.

1082
00:58:15,200 --> 00:58:21,440
Speaker 1: It was like a weird burning, and also like if

1083
00:58:21,520 --> 00:58:23,480
Speaker 1: you want to get it done, I'm just trying to

1084
00:58:23,480 --> 00:58:25,400
Speaker 1: tell you the negatives of it, because I think the

1085
00:58:25,440 --> 00:58:28,760
Speaker 1: results overall are good. If you want to get it done,

1086
00:58:28,760 --> 00:58:30,640
Speaker 1: you need to make sure that you have nothing to

1087
00:58:30,720 --> 00:58:34,640
Speaker 1: do for like almost a week, because I didn't really

1088
00:58:34,800 --> 00:58:37,840
Speaker 1: realize that. And I also swallowed more than the average person,

1089
00:58:37,880 --> 00:58:41,120
Speaker 1: I think. But remember I went, I went to like

1090
00:58:41,240 --> 00:58:43,840
Speaker 1: terrain with Lara a couple like I think two whole

1091
00:58:43,920 --> 00:58:46,640
Speaker 1: days later it was like her birthday or something, and

1092
00:58:46,720 --> 00:58:48,640
Speaker 1: like I had to wear a scarf around my neck

1093
00:58:48,760 --> 00:58:52,560
Speaker 1: like Jackie. Oh, because I'm serious, Like I looked like

1094
00:58:52,600 --> 00:58:57,000
Speaker 1: a frog, like I gotta find the picture actually because

1095
00:58:57,040 --> 00:59:01,160
Speaker 1: it's it's like hilarious. I look like I can't even

1096
00:59:01,240 --> 00:59:03,560
Speaker 1: recreate how I looked. It was terrible.

1097
00:59:03,800 --> 00:59:05,320
Speaker 2: Is it like when you open your feet? It was

1098
00:59:05,320 --> 00:59:07,960
Speaker 2: like a camera by accident? What is it like when

1099
00:59:08,000 --> 00:59:09,320
Speaker 2: you open your camera by actually?

1100
00:59:09,320 --> 00:59:12,360
Speaker 1: Oh, but like times twenty, it was like this big

1101
00:59:12,480 --> 00:59:14,400
Speaker 1: like frog. Like I just feel like I looked like

1102
00:59:14,440 --> 00:59:16,560
Speaker 1: a bullfrog. Like I don't know how else to explain.

1103
00:59:16,800 --> 00:59:20,120
Speaker 1: I had like I had like boobs and like a chin,

1104
00:59:20,280 --> 00:59:24,200
Speaker 1: like there was no like neck definition whatsoever. It was

1105
00:59:24,200 --> 00:59:27,600
Speaker 1: the weirdest thing. But then the swelling went down and

1106
00:59:27,640 --> 00:59:30,280
Speaker 1: it was fine. But I just was like, oh my god,

1107
00:59:30,360 --> 00:59:33,240
Speaker 1: like I really you know, like if you go get

1108
00:59:33,240 --> 00:59:36,280
Speaker 1: a facelift, you're like, okay, I gotta be like missing

1109
00:59:36,320 --> 00:59:38,760
Speaker 1: for a week or two. But I just didn't think

1110
00:59:38,800 --> 00:59:42,120
Speaker 1: that way before I went there. And then, you know,

1111
00:59:42,160 --> 00:59:44,360
Speaker 1: I had plans with Laren. It was her birthday and stuff,

1112
00:59:44,360 --> 00:59:46,240
Speaker 1: and I'm like, I would feel like a jerk not

1113
00:59:46,440 --> 00:59:50,960
Speaker 1: going to lunch with her because of my a cosmetic procedure, right,

1114
00:59:51,560 --> 00:59:56,320
Speaker 1: but it was. It was outrageous, but overall overall, it

1115
00:59:56,440 --> 00:59:59,840
Speaker 1: was good. And they do it in like other parts

1116
00:59:59,840 --> 01:00:02,560
Speaker 1: of your body too, like you can, especially if you're

1117
01:00:02,600 --> 01:00:05,960
Speaker 1: one of those those fortunate girls that are just like

1118
01:00:06,160 --> 01:00:08,840
Speaker 1: pretty skinny and you just have like a little tiny

1119
01:00:08,880 --> 01:00:11,360
Speaker 1: glob of fat on your abdomen, Like they could inject

1120
01:00:11,400 --> 01:00:14,280
Speaker 1: it in your abdomen too, and it's been shown to

1121
01:00:14,320 --> 01:00:15,080
Speaker 1: show results.

1122
01:00:15,120 --> 01:00:18,160
Speaker 2: So all right, well, in that note, we will see

1123
01:00:18,160 --> 01:00:19,880
Speaker 2: you guys in only a couple of days.

1124
01:00:19,880 --> 01:00:21,680
Speaker 1: I'll try to find the picture and I'll put it.

1125
01:00:22,680 --> 01:00:23,840
Speaker 2: We'll put it on Instagram.

1126
01:00:23,880 --> 01:00:25,680
Speaker 1: I don't know if I want to put it on Instagram.

1127
01:00:25,680 --> 01:00:31,480
Speaker 1: It's terrible maybe I'll say, we'll say, yeah, I gotta

1128
01:00:31,480 --> 01:00:33,480
Speaker 1: find it though, but yeah, it was. I have to

1129
01:00:33,480 --> 01:00:34,920
Speaker 1: figure out when I got it done, and I'll look

1130
01:00:34,920 --> 01:00:37,080
Speaker 1: for it in my phone. But it was. It was funny.

1131
01:00:37,080 --> 01:00:39,320
Speaker 1: And I think that the picture that I took was

1132
01:00:39,400 --> 01:00:42,680
Speaker 1: like two whole days after I had it done, so

1133
01:00:42,960 --> 01:00:45,560
Speaker 1: you could imagine like how bad it was. But all right,

1134
01:00:46,040 --> 01:00:46,640
Speaker 1: all right, well.

1135
01:00:46,520 --> 01:00:48,440
Speaker 2: We'll see at crime kind in a couple of days.

1136
01:00:48,440 --> 01:00:52,000
Speaker 2: We're really excited and if you excited, if you have

1137
01:00:52,080 --> 01:00:54,960
Speaker 2: a review for us, please leave it on Apple or Spotify,

1138
01:00:55,000 --> 01:00:57,480
Speaker 2: subscribe to our YouTube channel, and send us stories to

1139
01:00:57,560 --> 01:00:59,560
Speaker 2: stories at Mothernosdeath dot com.

1140
01:01:00,000 --> 01:01:05,880
Speaker 1: Hey you guys tomorrow, thank you for listening to Mother

1141
01:01:06,040 --> 01:01:09,760
Speaker 1: Knows Death. As a reminder, my training is as a

1142
01:01:09,800 --> 01:01:14,640
Speaker 1: pathologist's assistant. I have a master's level education and specialize

1143
01:01:14,640 --> 01:01:18,680
Speaker 1: in anatomy and pathology education. I am not a doctor,

1144
01:01:18,720 --> 01:01:21,720
Speaker 1: and I have not diagnosed or treated anyone dead or

1145
01:01:21,800 --> 01:01:27,080
Speaker 1: alive without the assistance of a licensed medical doctor. This show,

1146
01:01:27,400 --> 01:01:31,120
Speaker 1: my website, and social media accounts are designed to educate

1147
01:01:31,160 --> 01:01:35,120
Speaker 1: and inform people based on my experience working in pathology,

1148
01:01:35,600 --> 01:01:38,800
Speaker 1: so they can make healthier decisions regarding their life and

1149
01:01:38,880 --> 01:01:43,080
Speaker 1: well being Always remember that science is changing every day,

1150
01:01:43,160 --> 01:01:46,120
Speaker 1: and the opinions expressed in this episode are based on

1151
01:01:46,200 --> 01:01:48,880
Speaker 1: my knowledge of those subjects at the time of publication.

1152
01:01:50,120 --> 01:01:53,720
Speaker 1: If you are having a medical problem, have a medical question,

1153
01:01:54,280 --> 01:01:58,400
Speaker 1: or having a medical emergency, please contact your physician or

1154
01:01:58,520 --> 01:02:04,120
Speaker 1: visit an urgent care center, emergency room, or hospital. Please rate, review,

1155
01:02:04,240 --> 01:02:08,640
Speaker 1: and subscribe to Mother Knows Death on Apple, Spotify, YouTube,

1156
01:02:08,880 --> 01:02:10,600
Speaker 1: or anywhere you get podcasts.

1157
01:02:10,960 --> 01:02:16,920
Speaker 2: Thanks