1
00:00:08,039 --> 00:00:14,040
Speaker 1: Mother Knows Dad, starring Nicole and Jemmy and Maria qk.

2
00:00:21,160 --> 00:00:21,360
Speaker 2: Hi.

3
00:00:21,400 --> 00:00:24,120
Speaker 1: Everyone welcome The Mother Knows Death. We have so many

4
00:00:24,160 --> 00:00:27,160
Speaker 1: stories in the news today that we're going to get into. First,

5
00:00:27,200 --> 00:00:31,320
Speaker 1: obviously Michelle Trachenberg's sudden death, and then we heard that

6
00:00:31,520 --> 00:00:34,720
Speaker 1: Gene Hackman, his wife and his dog died yesterday, so

7
00:00:34,800 --> 00:00:37,240
Speaker 1: we have to talk about that. And a man who

8
00:00:37,400 --> 00:00:41,040
Speaker 1: ate his brother's eyeball and killed him, a woman who

9
00:00:41,120 --> 00:00:44,400
Speaker 1: likes to pee on groceries, and more. So let's get

10
00:00:44,400 --> 00:00:46,360
Speaker 1: started with celebrity news, all.

11
00:00:46,400 --> 00:00:49,720
Speaker 2: Right, So first we have actress Michelle Trachenberg. She was

12
00:00:49,920 --> 00:00:53,559
Speaker 2: most famously on Gossip Girl Buffy. She was on Weeds.

13
00:00:53,600 --> 00:00:55,600
Speaker 2: I don't know if you got that feign Weeds when

14
00:00:55,640 --> 00:00:57,840
Speaker 2: she was on, but it was when the younger boy

15
00:00:58,640 --> 00:01:01,560
Speaker 2: what was his name, Jonah the youngest when he was

16
00:01:01,560 --> 00:01:05,120
Speaker 2: a little older. But she was found dead in her

17
00:01:05,120 --> 00:01:08,160
Speaker 2: apartment yesterday. She was only thirty nine years old. Her

18
00:01:08,200 --> 00:01:10,360
Speaker 2: mom last saw her the night before and in the

19
00:01:10,360 --> 00:01:14,039
Speaker 2: morning she was found unresponsive in bed. Right now, people

20
00:01:14,040 --> 00:01:16,680
Speaker 2: are thinking it has to do with a liver transplant

21
00:01:16,720 --> 00:01:19,120
Speaker 2: that she had last year and maybe it being rejected.

22
00:01:20,080 --> 00:01:21,559
Speaker 2: So this is a lot.

23
00:01:21,640 --> 00:01:23,600
Speaker 1: We have a lot to talk about on this case,

24
00:01:23,640 --> 00:01:26,119
Speaker 1: because this we don't really know that much that it could

25
00:01:26,160 --> 00:01:28,840
Speaker 1: be so many different things. So of course everybody is

26
00:01:28,880 --> 00:01:32,800
Speaker 1: shocked about this because apparently only her closest friends really

27
00:01:32,840 --> 00:01:36,640
Speaker 1: even knew that she had this liver transplant, And we

28
00:01:36,720 --> 00:01:39,679
Speaker 1: don't exactly know why she had a liver transplant, because

29
00:01:39,720 --> 00:01:42,080
Speaker 1: that's the first thing you're going to think of, is

30
00:01:42,120 --> 00:01:44,840
Speaker 1: why would she have a liver transplant? And so we're

31
00:01:44,840 --> 00:01:46,640
Speaker 1: going to go through today. We're going to go through

32
00:01:46,640 --> 00:01:49,960
Speaker 1: all the different reasons why people might need a liver transplant,

33
00:01:50,560 --> 00:01:52,920
Speaker 1: and go over some of the things that you're hearing

34
00:01:52,920 --> 00:01:56,080
Speaker 1: in the news. But again, some of the news sources

35
00:01:56,120 --> 00:01:58,560
Speaker 1: that I've been seeing these stories from are not accurate,

36
00:01:58,600 --> 00:02:01,480
Speaker 1: so I wouldn't even take them as word. And we're

37
00:02:01,520 --> 00:02:04,640
Speaker 1: going to see, like what happens when you have a

38
00:02:04,680 --> 00:02:07,560
Speaker 1: liver transplant that fails and you die from it. So

39
00:02:08,240 --> 00:02:11,760
Speaker 1: I guess the most important thing to start talking about

40
00:02:11,960 --> 00:02:16,000
Speaker 1: is that her neighbors were interviewed and said that she

41
00:02:16,360 --> 00:02:19,440
Speaker 1: was looking very frail in the past couple of months.

42
00:02:19,520 --> 00:02:23,800
Speaker 1: Her hair looked very thin, and her eyes looked yellow,

43
00:02:24,639 --> 00:02:29,919
Speaker 1: and that's something called scleal ectaris, and that is you've

44
00:02:29,919 --> 00:02:33,400
Speaker 1: heard of jarndyce, right, Yeah, it's jaundice, but it's in

45
00:02:33,520 --> 00:02:36,840
Speaker 1: the eyes, and that's usually the first place where jarndice

46
00:02:36,840 --> 00:02:39,960
Speaker 1: would show up is in the eyes. So to me,

47
00:02:40,160 --> 00:02:45,480
Speaker 1: that indicates that she was having liver failure again for

48
00:02:45,520 --> 00:02:48,880
Speaker 1: whatever reason. Now we don't know when she had the transplant.

49
00:02:49,000 --> 00:02:51,680
Speaker 1: All of the articles are saying it was sometime this year,

50
00:02:51,960 --> 00:02:56,680
Speaker 1: which is a long time, so she wasn't looking well.

51
00:02:56,840 --> 00:03:01,320
Speaker 1: It wasn't really a shock to anybody that really knew her.

52
00:03:01,520 --> 00:03:03,760
Speaker 1: One of her friends was interviewed and said that she

53
00:03:03,919 --> 00:03:06,280
Speaker 1: was recently in the hospital and came home and said

54
00:03:06,320 --> 00:03:09,840
Speaker 1: she was going to die. I don't know if that's

55
00:03:09,880 --> 00:03:12,080
Speaker 1: true because there's a lot of sources that said this

56
00:03:12,200 --> 00:03:15,480
Speaker 1: and sources said that, but I think it's fair to say.

57
00:03:15,520 --> 00:03:19,320
Speaker 1: She posted photos on Instagram, people were questioning why she

58
00:03:19,360 --> 00:03:22,360
Speaker 1: didn't look healthy. She was very thin, so it's safe

59
00:03:22,360 --> 00:03:25,320
Speaker 1: to say that she wasn't doing well right before she died.

60
00:03:27,120 --> 00:03:28,280
Speaker 2: So now we're going to talk.

61
00:03:28,160 --> 00:03:31,560
Speaker 1: About reasons why a thirty nine year old person would

62
00:03:31,600 --> 00:03:36,520
Speaker 1: need a liver transplant, And the most common reason that

63
00:03:36,560 --> 00:03:40,000
Speaker 1: people would need a transplant is because of sorosis, and

64
00:03:40,040 --> 00:03:42,720
Speaker 1: when everybody thinks of sorosis, they automatically think of a

65
00:03:42,720 --> 00:03:47,520
Speaker 1: person being an alcoholic. But that soorhosis is not always

66
00:03:47,600 --> 00:03:51,000
Speaker 1: caused by someone being an alcoholic, So we'll get into

67
00:03:52,080 --> 00:03:55,320
Speaker 1: alcoholic versus not. But first let's talk about natural diseases.

68
00:03:55,360 --> 00:03:58,280
Speaker 1: And this is things that she either could have been

69
00:03:58,280 --> 00:04:00,800
Speaker 1: born with her infections as she could got that would

70
00:04:00,840 --> 00:04:02,800
Speaker 1: have damaged her liver so bad that she would have

71
00:04:02,920 --> 00:04:06,200
Speaker 1: needed a transplant. So first we think of infections like

72
00:04:06,240 --> 00:04:10,840
Speaker 1: hepatitis C, hepatitis B, and then we think of maybe

73
00:04:10,960 --> 00:04:14,720
Speaker 1: genetic conditions or other conditions that people have throughout their life,

74
00:04:15,120 --> 00:04:19,320
Speaker 1: like non alcoholic fatty liver disease. So that is most

75
00:04:19,360 --> 00:04:23,320
Speaker 1: commonly seen in obese patients, which clearly she's not, but

76
00:04:23,360 --> 00:04:26,279
Speaker 1: there's also a genetic component to that too, so that

77
00:04:26,360 --> 00:04:29,839
Speaker 1: cannot be completely rolled out. And what happens is fatty

78
00:04:29,880 --> 00:04:35,000
Speaker 1: liver disease is kind of early. It's early liver damage,

79
00:04:35,040 --> 00:04:37,680
Speaker 1: but it can be reversible. But what happens is that

80
00:04:37,880 --> 00:04:41,000
Speaker 1: the more damage that occurs, it could start turning into

81
00:04:41,120 --> 00:04:45,960
Speaker 1: cerosis and permanently scar the liver. When we say crosis,

82
00:04:46,000 --> 00:04:48,880
Speaker 1: crosis just means that the liver is scarred and there's

83
00:04:48,920 --> 00:04:53,480
Speaker 1: no way of fixing it. There's no going back. Other

84
00:04:53,600 --> 00:04:57,640
Speaker 1: genetic conditions that I've seen, So I should mention this

85
00:04:57,760 --> 00:05:01,000
Speaker 1: that for a long time when I worked in pathology,

86
00:05:01,120 --> 00:05:03,840
Speaker 1: I was the one that dissected all of the liver explants,

87
00:05:03,839 --> 00:05:07,200
Speaker 1: which are the disease livers coming out of these patients

88
00:05:07,200 --> 00:05:09,320
Speaker 1: that are getting liver transplants. So I saw a lot

89
00:05:09,320 --> 00:05:13,080
Speaker 1: of different stuff and I'm very thankful for that experience.

90
00:05:13,839 --> 00:05:18,200
Speaker 1: You could have some underlying genetic conditions called hemochromatosis or

91
00:05:18,640 --> 00:05:22,679
Speaker 1: which is an excess iron that's deposited into your organs,

92
00:05:22,720 --> 00:05:26,400
Speaker 1: Wilson's disease, which we copper. These are all things I've

93
00:05:26,440 --> 00:05:29,760
Speaker 1: seen transplants for. So this is a possibility because she

94
00:05:29,880 --> 00:05:31,400
Speaker 1: never really talked about.

95
00:05:31,160 --> 00:05:32,560
Speaker 2: Any of this, so nobody knows.

96
00:05:33,040 --> 00:05:37,320
Speaker 1: There's other conditions now that and this is another possibility.

97
00:05:37,360 --> 00:05:39,360
Speaker 1: She could have been born with a condition and had

98
00:05:39,400 --> 00:05:41,920
Speaker 1: a liver transplant already as a child that we didn't

99
00:05:41,920 --> 00:05:44,840
Speaker 1: know about, and then this is now another liver transplant,

100
00:05:44,920 --> 00:05:46,640
Speaker 1: so we just don't know any of this. She could

101
00:05:46,640 --> 00:05:51,440
Speaker 1: add cystic fibrosis, any of these things now non natural

102
00:05:51,480 --> 00:05:55,600
Speaker 1: ways to have liver damage that would require a transplant.

103
00:05:55,640 --> 00:05:59,360
Speaker 1: Other things that I've seen in my career, obviously alcohol

104
00:05:59,400 --> 00:06:02,159
Speaker 1: being the biggest. So if you're an alcoholic, you could

105
00:06:02,200 --> 00:06:06,120
Speaker 1: damage your liver to the point where you require a transplant.

106
00:06:06,160 --> 00:06:08,680
Speaker 1: And I've definitely seen that in people as young as

107
00:06:08,720 --> 00:06:12,520
Speaker 1: thirty nine years old, so that's a possibility. Another crazy

108
00:06:13,000 --> 00:06:16,120
Speaker 1: ex plant that I had once was a woman who

109
00:06:16,200 --> 00:06:20,080
Speaker 1: overdosed on tailan all. And you think that's crazy, right, yeah,

110
00:06:20,320 --> 00:06:22,080
Speaker 1: because people take it all the time, but you could

111
00:06:22,120 --> 00:06:25,240
Speaker 1: overdose on it and totally destroy your liver. So she

112
00:06:25,440 --> 00:06:29,200
Speaker 1: overdosed on tilan all. She was actually trying to kill herself,

113
00:06:29,200 --> 00:06:32,839
Speaker 1: so she probably had a decent amount and she needed

114
00:06:32,880 --> 00:06:35,279
Speaker 1: to get a liver transplant. So I imagine surviving that

115
00:06:35,360 --> 00:06:37,680
Speaker 1: and then having to go through the transplant and everything,

116
00:06:37,720 --> 00:06:42,040
Speaker 1: but hopefully she had a new lease on life after that.

117
00:06:42,600 --> 00:06:48,320
Speaker 1: I've seen other crazy things that caused liver failure, herpies

118
00:06:48,440 --> 00:06:51,960
Speaker 1: virus when we talked about that with infections, but non

119
00:06:52,040 --> 00:06:57,400
Speaker 1: natural things, so I think like rare things like a

120
00:06:57,480 --> 00:07:00,240
Speaker 1: tile and all overdose and stuff are a little bit

121
00:07:00,320 --> 00:07:05,039
Speaker 1: less likely in this category. So that would be a

122
00:07:05,120 --> 00:07:08,560
Speaker 1: reason that multiple reasons why she would need to get

123
00:07:08,600 --> 00:07:11,480
Speaker 1: a liver transplant. Now, well, I've seen most of the

124
00:07:11,600 --> 00:07:14,760
Speaker 1: articles bringing up the alcohol factor because I feel like

125
00:07:14,840 --> 00:07:19,040
Speaker 1: that's the most obvious correlation for lay people, right, But

126
00:07:19,440 --> 00:07:22,080
Speaker 1: I've also seen that her family said she was pretty

127
00:07:22,360 --> 00:07:27,280
Speaker 1: outspoken about being against substance abuse, so she wasn't really

128
00:07:27,320 --> 00:07:29,720
Speaker 1: known as a big drinker or anybody that used drugs

129
00:07:29,960 --> 00:07:31,040
Speaker 1: publicly anyway.

130
00:07:31,440 --> 00:07:32,800
Speaker 2: Yeah, and that's that.

131
00:07:33,480 --> 00:07:36,920
Speaker 1: I'm not saying that at all a lot, but I

132
00:07:36,920 --> 00:07:39,000
Speaker 1: feel like we should talk about it because why not.

133
00:07:39,520 --> 00:07:41,760
Speaker 1: This is something that affects people in this age group.

134
00:07:41,880 --> 00:07:46,320
Speaker 1: So normally you would think, Okay, well, if a person's

135
00:07:46,360 --> 00:07:49,520
Speaker 1: an alcoholic and they damage their liver, why do they

136
00:07:49,560 --> 00:07:50,880
Speaker 1: deserve to get a transplant?

137
00:07:50,960 --> 00:07:51,120
Speaker 2: Right?

138
00:07:51,440 --> 00:07:54,240
Speaker 1: That's a lot of people say that, And I would

139
00:07:54,320 --> 00:07:59,080
Speaker 1: argue that alcoholism is a disease, and the and the

140
00:07:59,160 --> 00:08:02,120
Speaker 1: cirrhosis is a secondary effect of that disease, so they

141
00:08:02,120 --> 00:08:04,840
Speaker 1: should be treated as as well as a person that

142
00:08:05,000 --> 00:08:07,640
Speaker 1: is born with hemochromatosis or something. In my opinion, and

143
00:08:08,160 --> 00:08:10,120
Speaker 1: most of medicine has that opinion.

144
00:08:10,280 --> 00:08:12,600
Speaker 2: Well, just because you did it to yourself doesn't mean

145
00:08:12,640 --> 00:08:15,560
Speaker 2: you don't deserve to get some redemption in that.

146
00:08:15,880 --> 00:08:18,400
Speaker 1: Yeah, and it's and I mean, there's just so much

147
00:08:18,440 --> 00:08:21,400
Speaker 1: now that that says that the addiction isn't something that

148
00:08:21,440 --> 00:08:24,480
Speaker 1: you're quite control or at least all people aren't in

149
00:08:24,520 --> 00:08:29,720
Speaker 1: control of. So so it's completely possible that that that

150
00:08:29,960 --> 00:08:32,280
Speaker 1: was the case, but we like we like we said,

151
00:08:32,320 --> 00:08:33,040
Speaker 1: we just don't know.

152
00:08:33,160 --> 00:08:35,440
Speaker 2: So her so when her.

153
00:08:35,200 --> 00:08:41,079
Speaker 1: Mom left her the night before and then went over

154
00:08:41,120 --> 00:08:44,800
Speaker 1: the next morning and she was dead, her mom was

155
00:08:44,880 --> 00:08:48,040
Speaker 1: well aware that she was very sick. Now, when you

156
00:08:48,120 --> 00:08:51,200
Speaker 1: get a liver transplant, especially when you're a young person,

157
00:08:52,400 --> 00:08:55,720
Speaker 1: it's kind of worse when you're younger because young people

158
00:08:55,760 --> 00:08:59,319
Speaker 1: have very good immune systems. And when you get a transplant.

159
00:08:59,360 --> 00:09:01,160
Speaker 1: And this is like we talked about this the other

160
00:09:01,240 --> 00:09:04,559
Speaker 1: day when we were talking about that guy that accidentally

161
00:09:04,600 --> 00:09:09,960
Speaker 1: inhaled a pen cap. Whenever there's a foreign object put

162
00:09:10,000 --> 00:09:13,080
Speaker 1: into your body, it's not plastic in this case, but

163
00:09:13,120 --> 00:09:15,800
Speaker 1: it's not from your body, so your body recognizes it

164
00:09:15,840 --> 00:09:19,240
Speaker 1: as far in your body attacks it. So you put

165
00:09:19,280 --> 00:09:23,400
Speaker 1: this liver. If you do a liver transplant, it's usually

166
00:09:23,520 --> 00:09:26,760
Speaker 1: from a cadaver, so or it's from a person that died.

167
00:09:26,840 --> 00:09:30,160
Speaker 1: So someone dies in a car accident and they say, hey,

168
00:09:30,160 --> 00:09:32,800
Speaker 1: do you want to donate the organs and that liver

169
00:09:32,920 --> 00:09:36,360
Speaker 1: will then go to the new person, and that liver

170
00:09:36,480 --> 00:09:39,280
Speaker 1: is usually very healthy and they put it in, but

171
00:09:39,400 --> 00:09:42,080
Speaker 1: then your body is like, this is farign I don't

172
00:09:42,080 --> 00:09:45,440
Speaker 1: want this in, and your body starts attacking it. So

173
00:09:46,320 --> 00:09:49,520
Speaker 1: what happens is when you get a transplant, they put

174
00:09:49,559 --> 00:09:52,600
Speaker 1: you on all of these medications to chill your immune

175
00:09:52,600 --> 00:09:55,800
Speaker 1: system out so your immune system doesn't attack this liver.

176
00:09:56,840 --> 00:09:59,960
Speaker 1: And the negative part of that is when you chill

177
00:10:00,200 --> 00:10:04,360
Speaker 1: your immune system down or suppress it, you then become immunosuppressed,

178
00:10:04,400 --> 00:10:06,600
Speaker 1: and then you're opening yourself up to getting all these

179
00:10:06,640 --> 00:10:10,400
Speaker 1: weird kind of infections and stuff like that. I personally,

180
00:10:11,160 --> 00:10:13,120
Speaker 1: I don't know if I think that's the case, because

181
00:10:13,280 --> 00:10:15,760
Speaker 1: people have said that she's been looking sick for a while.

182
00:10:15,800 --> 00:10:17,920
Speaker 1: Apparently she went out to dinner to last week and

183
00:10:17,960 --> 00:10:20,120
Speaker 1: people were saying she could barely walk down the steps.

184
00:10:20,679 --> 00:10:24,640
Speaker 1: So something more chronic is going on in my opinion now.

185
00:10:25,240 --> 00:10:27,200
Speaker 1: So the next thing that you need to think about

186
00:10:27,360 --> 00:10:30,400
Speaker 1: is when you get a transplant, it's like any other surgery.

187
00:10:30,440 --> 00:10:32,480
Speaker 1: You have risk of infection, you have risk of the

188
00:10:32,520 --> 00:10:35,440
Speaker 1: anastomotic sites or where they sew it back into the person,

189
00:10:35,600 --> 00:10:38,280
Speaker 1: like leaking or anything like that, and I think it

190
00:10:38,360 --> 00:10:40,680
Speaker 1: seems like she got through that stage of it. But

191
00:10:40,960 --> 00:10:43,480
Speaker 1: the biggest thing that you need to worry about within

192
00:10:43,520 --> 00:10:47,200
Speaker 1: the next couple of months of the transplant is the rejection.

193
00:10:47,400 --> 00:10:51,440
Speaker 1: So I don't so you could have a cute rejection

194
00:10:51,559 --> 00:10:54,480
Speaker 1: where it rejects pretty quickly, and then you could have

195
00:10:54,640 --> 00:10:55,840
Speaker 1: chronic rejection.

196
00:10:56,559 --> 00:10:58,480
Speaker 2: Usually you don't.

197
00:10:58,760 --> 00:11:01,360
Speaker 1: You're not just sitting there toe totally fine, healed from

198
00:11:01,400 --> 00:11:06,080
Speaker 1: this surgery, and then you just drop dead. So I

199
00:11:06,120 --> 00:11:08,480
Speaker 1: think that if we can make any guess, it's it's

200
00:11:08,480 --> 00:11:11,200
Speaker 1: she's having some kind of rejection that they knew about.

201
00:11:11,280 --> 00:11:14,240
Speaker 1: I think that it's unusual that she's not in the

202
00:11:14,280 --> 00:11:17,520
Speaker 1: hospital being treated if they knew that she was rejecting.

203
00:11:18,080 --> 00:11:21,680
Speaker 1: But I'm not really I'm not really sure what to

204
00:11:21,679 --> 00:11:24,040
Speaker 1: say about that, honestly. I mean, she was there last

205
00:11:24,040 --> 00:11:26,560
Speaker 1: week and told her friend that she was going to die,

206
00:11:26,600 --> 00:11:29,320
Speaker 1: So I don't know if they were, like, we don't

207
00:11:29,320 --> 00:11:31,240
Speaker 1: know the full story, where they did they say go

208
00:11:31,320 --> 00:11:34,360
Speaker 1: home and just live your life out in your bed.

209
00:11:34,480 --> 00:11:34,840
Speaker 2: I don't.

210
00:11:34,920 --> 00:11:37,520
Speaker 1: I don't know what happened, but it is a little

211
00:11:37,640 --> 00:11:41,520
Speaker 1: unusual that the medical examiner said that they're doing an autopsy,

212
00:11:41,640 --> 00:11:44,520
Speaker 1: So it doesn't one hundred percent seem like it was

213
00:11:45,440 --> 00:11:46,920
Speaker 1: expected at least that quickly.

214
00:11:48,120 --> 00:11:51,719
Speaker 2: Well, could they be doing it for research purposes if maybe.

215
00:11:51,440 --> 00:11:53,679
Speaker 1: She did have some not at not at the New

216
00:11:53,760 --> 00:11:56,720
Speaker 1: York City Medical Examiner's office, if that's where they're doing

217
00:11:56,760 --> 00:11:59,280
Speaker 1: the autopsy. And I don't I don't think. I I

218
00:11:59,640 --> 00:12:01,640
Speaker 1: just don't think a person of her level and stuff

219
00:12:01,679 --> 00:12:05,080
Speaker 1: would be would be being brought to a hospital to

220
00:12:05,120 --> 00:12:07,680
Speaker 1: do any kind of research. I mean, I could be wrong,

221
00:12:07,679 --> 00:12:11,120
Speaker 1: but I think that that's not possible. So I don't

222
00:12:11,120 --> 00:12:15,400
Speaker 1: know if it was a complete shock to her mother

223
00:12:15,559 --> 00:12:17,720
Speaker 1: to find her that way, because maybe it didn't seem

224
00:12:17,760 --> 00:12:19,080
Speaker 1: as imminent as it was.

225
00:12:19,640 --> 00:12:22,800
Speaker 2: Well, even if you're prepared, well still going on, Yeah,

226
00:12:23,080 --> 00:12:23,800
Speaker 2: I understand that.

227
00:12:23,960 --> 00:12:27,440
Speaker 1: So, but normal in normal cases, let's say a person

228
00:12:27,480 --> 00:12:30,760
Speaker 1: has cancer and they're just they're getting palliative care, like

229
00:12:30,800 --> 00:12:33,320
Speaker 1: they're getting medication just to be comfortable, and they die.

230
00:12:33,400 --> 00:12:36,360
Speaker 1: The medical examiner doesn't usually get involved with that because

231
00:12:36,400 --> 00:12:40,840
Speaker 1: it was known and like I said, we're having We

232
00:12:40,920 --> 00:12:45,600
Speaker 1: can't one hundred percent say because she had the surgery. Uh,

233
00:12:45,800 --> 00:12:48,960
Speaker 1: she could have had it two days ago or or

234
00:12:49,240 --> 00:12:51,440
Speaker 1: a year ago. We don't really know. Not two days ago,

235
00:12:51,440 --> 00:12:53,480
Speaker 1: obviously she'd still be in the hospital, but we don't

236
00:12:53,520 --> 00:12:55,520
Speaker 1: really know what that So I.

237
00:12:55,559 --> 00:12:57,920
Speaker 2: Will most of the articles I said said she was

238
00:12:57,960 --> 00:13:01,679
Speaker 2: having She had the transplant last year, so it definitely

239
00:13:01,720 --> 00:13:04,000
Speaker 2: wasn't in the last couple of weeks. Yeah, so she was.

240
00:13:04,240 --> 00:13:07,280
Speaker 1: She more than likely was having some kind of chronic

241
00:13:07,360 --> 00:13:10,000
Speaker 1: rejection at this point, I would say, because even if

242
00:13:10,040 --> 00:13:14,040
Speaker 1: she did get a weird infection, I don't I feel

243
00:13:14,040 --> 00:13:16,760
Speaker 1: like she would be in the hospital being treated for that.

244
00:13:17,440 --> 00:13:17,720
Speaker 2: Now.

245
00:13:18,120 --> 00:13:21,960
Speaker 1: There are people that get liver transplants and they reject

246
00:13:21,760 --> 00:13:26,000
Speaker 1: in some cases, and then they get another transplant. So

247
00:13:26,880 --> 00:13:29,760
Speaker 1: that's why I was saying, it is possible that she

248
00:13:29,960 --> 00:13:33,000
Speaker 1: had one when she was younger, and then this is

249
00:13:33,040 --> 00:13:35,800
Speaker 1: now another one that's rejecting again. And the reason that

250
00:13:35,840 --> 00:13:38,240
Speaker 1: I say this is because do you remember my friend Ken.

251
00:13:38,840 --> 00:13:39,360
Speaker 2: Yeah.

252
00:13:39,400 --> 00:13:41,000
Speaker 1: So I had a friend Ken that worked at the

253
00:13:41,040 --> 00:13:43,800
Speaker 1: medical Examiner's office when I was in PA school, and

254
00:13:43,840 --> 00:13:46,000
Speaker 1: we were really good friends. We hung out all the time,

255
00:13:46,679 --> 00:13:50,320
Speaker 1: and he was a pretty healthy guy. And then when

256
00:13:50,360 --> 00:13:53,680
Speaker 1: he was young, like in his twenties, he was playing hockey.

257
00:13:54,200 --> 00:13:57,600
Speaker 1: He hit his head and he was unresponsive and he

258
00:13:57,640 --> 00:14:02,000
Speaker 1: got metavacked to the local try the center and they said, Okay,

259
00:14:02,080 --> 00:14:05,679
Speaker 1: your head's fine, but your heart is complete shit, like

260
00:14:05,720 --> 00:14:09,360
Speaker 1: you need a heart. You have you have to get

261
00:14:09,400 --> 00:14:12,439
Speaker 1: a heart transplant. Like how crazy is that to hear that.

262
00:14:13,000 --> 00:14:16,600
Speaker 1: So again, he's in his twenties, he's super young. They

263
00:14:16,600 --> 00:14:18,720
Speaker 1: don't even really know what caused it. They think it

264
00:14:18,760 --> 00:14:22,440
Speaker 1: was a viral infection. So he gets on the heart

265
00:14:22,440 --> 00:14:25,240
Speaker 1: transplant list. He gets a heart, and he has it

266
00:14:25,280 --> 00:14:27,920
Speaker 1: for a while, ten fifteen years. He's fine with this

267
00:14:27,960 --> 00:14:29,800
Speaker 1: new heart, and then all of a sudden, the heart

268
00:14:29,840 --> 00:14:32,880
Speaker 1: started rejecting and it was like, oh shit, he has

269
00:14:32,920 --> 00:14:34,600
Speaker 1: to go back on the list and get a new heart.

270
00:14:34,680 --> 00:14:38,400
Speaker 1: It just was like that quick, and he got the

271
00:14:38,480 --> 00:14:41,520
Speaker 1: new heart and it just was like never good. It

272
00:14:41,680 --> 00:14:45,479
Speaker 1: never it never really took. He was out of the hospital,

273
00:14:45,520 --> 00:14:48,600
Speaker 1: but he just never looked well. And he died shortly

274
00:14:48,760 --> 00:14:53,560
Speaker 1: after getting that second heart transplant, and he was forty ish.

275
00:14:53,640 --> 00:14:55,920
Speaker 1: So I kind of went through this with one of

276
00:14:55,920 --> 00:15:00,680
Speaker 1: my friends before, and it's it's just getting a transplant

277
00:15:00,720 --> 00:15:02,480
Speaker 1: is a really big deal to me, and it's so

278
00:15:02,600 --> 00:15:05,160
Speaker 1: awesome that they do it, but it's it's a life

279
00:15:05,240 --> 00:15:07,680
Speaker 1: or death situation. It's a very serious surgery.

280
00:15:08,440 --> 00:15:10,800
Speaker 2: Is there like a magic number of years where you

281
00:15:10,840 --> 00:15:14,200
Speaker 2: could have an organ transplant? And I guess what I'm

282
00:15:14,240 --> 00:15:17,200
Speaker 2: asking is, when you get a transplant, is there like

283
00:15:17,240 --> 00:15:19,400
Speaker 2: a certain amount of time where you're considered in a

284
00:15:19,440 --> 00:15:22,240
Speaker 2: safe zone or you always at risk for it rejecting it?

285
00:15:22,560 --> 00:15:24,240
Speaker 2: You're always you're always at risk.

286
00:15:24,600 --> 00:15:28,080
Speaker 1: There's people like liver transplants are pretty good. They're not

287
00:15:28,280 --> 00:15:30,920
Speaker 1: the most like a long transplant would probably be much

288
00:15:30,960 --> 00:15:35,640
Speaker 1: higher reason of rejection and have more complications with something

289
00:15:35,720 --> 00:15:39,560
Speaker 1: like that. There's people that get one liver transplant and

290
00:15:39,560 --> 00:15:43,680
Speaker 1: they live a healthy life after that, and because that's

291
00:15:43,760 --> 00:15:46,520
Speaker 1: really all that needs to be replaced on them to

292
00:15:46,600 --> 00:15:50,040
Speaker 1: make them better. It's it's considered curative in most cases,

293
00:15:50,120 --> 00:15:54,560
Speaker 1: in a lot of cases. So you know, it's a shame.

294
00:15:54,760 --> 00:15:57,720
Speaker 1: It's a shame that we don't know anything about it,

295
00:15:57,800 --> 00:16:01,680
Speaker 1: because I was really reading some really nasty shit online

296
00:16:01,760 --> 00:16:03,680
Speaker 1: about her, and I don't.

297
00:16:03,280 --> 00:16:04,200
Speaker 2: Like that people.

298
00:16:04,680 --> 00:16:07,400
Speaker 1: You know, she'll post a picture of herself and everybody's like,

299
00:16:07,440 --> 00:16:08,440
Speaker 1: are you on drugs?

300
00:16:08,880 --> 00:16:10,160
Speaker 2: You look so bad?

301
00:16:10,280 --> 00:16:12,360
Speaker 1: But and I guess the part of it is you're

302
00:16:12,400 --> 00:16:14,760
Speaker 1: famous and you're out there. She has almost a million

303
00:16:14,920 --> 00:16:19,920
Speaker 1: followers on Instagram, so you have everybody commenting. People are

304
00:16:20,080 --> 00:16:24,960
Speaker 1: genuinely concerned, but other people are just assholes and for

305
00:16:25,000 --> 00:16:27,640
Speaker 1: whatever reason, though it's her decision, she just decided that

306
00:16:27,720 --> 00:16:29,560
Speaker 1: she didn't want to tell the world what was going

307
00:16:29,600 --> 00:16:31,560
Speaker 1: on with her. And I think it's kind of cool

308
00:16:31,600 --> 00:16:33,800
Speaker 1: that she went through all that and had a freaking

309
00:16:33,880 --> 00:16:36,440
Speaker 1: transplant and it never came out that she was going

310
00:16:36,480 --> 00:16:37,840
Speaker 1: through any of that until now.

311
00:16:38,800 --> 00:16:41,400
Speaker 2: Yeah. I mean it means she has good, trustworthy people

312
00:16:41,400 --> 00:16:44,280
Speaker 2: in her life that weren't leaking her story to the press. Yeah.

313
00:16:44,320 --> 00:16:48,080
Speaker 2: I feel like that's the rarest part of all of this. Yeah, exactly.

314
00:16:48,200 --> 00:16:52,640
Speaker 2: So it's really sad. I don't know how much we'll

315
00:16:52,680 --> 00:16:53,120
Speaker 2: find out.

316
00:16:53,840 --> 00:16:57,240
Speaker 1: I don't think it's gonna be I don't know if

317
00:16:57,240 --> 00:17:00,800
Speaker 1: we're gonna hear anything that's really shocking. Unless she decided

318
00:17:00,840 --> 00:17:02,720
Speaker 1: to do something because she was in too much pain

319
00:17:02,760 --> 00:17:05,120
Speaker 1: and just didn't want to live anymore. I'm not sure

320
00:17:05,119 --> 00:17:09,960
Speaker 1: about that, but hopefully they give us some info once

321
00:17:10,280 --> 00:17:11,600
Speaker 1: once the autopsy's done.

322
00:17:12,440 --> 00:17:15,840
Speaker 2: All right. Well, another shocking death yesterday was Gene Hackman.

323
00:17:15,960 --> 00:17:19,399
Speaker 2: So he's an Oscar Award winning actor. He was in

324
00:17:19,400 --> 00:17:23,600
Speaker 2: the French Connection Superman Young Frankenstein a bunch of good movies.

325
00:17:24,280 --> 00:17:27,280
Speaker 1: I love him. Actually, I love all those movies too.

326
00:17:27,920 --> 00:17:31,920
Speaker 2: When I saw this, Not to be insensitive, but I

327
00:17:31,960 --> 00:17:34,359
Speaker 2: was like, I would have bet money he died or

328
00:17:34,440 --> 00:17:35,440
Speaker 2: like forty years ago.

329
00:17:37,600 --> 00:17:40,480
Speaker 1: No, we told I swear we talked about him for

330
00:17:40,520 --> 00:17:41,159
Speaker 1: some reason.

331
00:17:41,960 --> 00:17:44,520
Speaker 2: Well he is ninety five. I don't remember we acted

332
00:17:44,800 --> 00:17:48,000
Speaker 2: since the early two thousand's, Like his name isn't really

333
00:17:48,040 --> 00:17:48,640
Speaker 2: coming up.

334
00:17:48,880 --> 00:17:51,320
Speaker 1: I feel like we talked about it for some for

335
00:17:51,359 --> 00:17:56,159
Speaker 1: whatever reason, because I was saying, remember, I was saying, like,

336
00:17:56,240 --> 00:17:58,240
Speaker 1: oh god, I thought he was sixty and I heard

337
00:17:58,320 --> 00:18:00,439
Speaker 1: he was like ninety eight, and it was shocked to me.

338
00:18:01,359 --> 00:18:03,359
Speaker 1: Or ninety five or however old he was.

339
00:18:03,640 --> 00:18:05,800
Speaker 2: Well, when I first saw it, I was like, I

340
00:18:06,119 --> 00:18:08,000
Speaker 2: don't know, I get the names confused. And then he

341
00:18:08,080 --> 00:18:11,000
Speaker 2: was in Young Frankenstein too, So I'm like, Gene Wilder's

342
00:18:11,040 --> 00:18:14,480
Speaker 2: been dead, right, Like that's what I'm thinking. But it's

343
00:18:14,520 --> 00:18:17,240
Speaker 2: a totally different guy. All these old men named Gene,

344
00:18:17,359 --> 00:18:19,200
Speaker 2: it's hard to keep track of. There's just a lot

345
00:18:19,240 --> 00:18:22,000
Speaker 2: of Now he's Lex Luthor, Come on, all right, So

346
00:18:22,119 --> 00:18:25,920
Speaker 2: Gene Wilder, his wife and one other Gene command Oh

347
00:18:25,920 --> 00:18:28,880
Speaker 2: my god, I knew how the gonna is. Gene Hackman,

348
00:18:29,040 --> 00:18:31,800
Speaker 2: his wife, and one of their three dogs were all

349
00:18:31,800 --> 00:18:36,399
Speaker 2: found dead in their home in New Mexico yesterday afternoon. Yesterday,

350
00:18:36,440 --> 00:18:38,800
Speaker 2: the news was saying they didn't suspect any foul play,

351
00:18:38,880 --> 00:18:42,159
Speaker 2: but TMZ this morning was reporting that police got a

352
00:18:42,200 --> 00:18:44,760
Speaker 2: search warrant in case they had to look further into

353
00:18:44,800 --> 00:18:47,040
Speaker 2: the house to see if there was any criminal activity,

354
00:18:47,359 --> 00:18:50,359
Speaker 2: and also two of the dogs survived, so I guess

355
00:18:50,359 --> 00:18:53,080
Speaker 2: they're looking into that. Yeah.

356
00:18:53,119 --> 00:18:55,520
Speaker 1: So of course when I first when I just saw

357
00:18:55,560 --> 00:18:59,080
Speaker 1: the headline, my first obviously, my first thought is okay,

358
00:18:59,080 --> 00:19:04,200
Speaker 1: carbon monoxide, right, But apparently they just came out as

359
00:19:04,240 --> 00:19:06,560
Speaker 1: of what time is it now, two o'clock in the

360
00:19:06,600 --> 00:19:11,240
Speaker 1: afternoon while we're recording right now, they just came out

361
00:19:11,240 --> 00:19:14,280
Speaker 1: and said that the fire department said that there was

362
00:19:14,320 --> 00:19:17,160
Speaker 1: no evidence that there was carbon monoxide in the house,

363
00:19:17,240 --> 00:19:21,560
Speaker 1: no pipes leaking, gas leaks, nothing, So we're rolling that out.

364
00:19:21,640 --> 00:19:25,640
Speaker 1: So now it's like, Okay, let's think of the possible scenarios.

365
00:19:25,680 --> 00:19:29,520
Speaker 1: We have two dead people and a dead.

366
00:19:29,480 --> 00:19:31,920
Speaker 2: Dog with no visible trauma.

367
00:19:32,000 --> 00:19:35,359
Speaker 1: With no visible trauma, they said the front door was

368
00:19:35,840 --> 00:19:38,879
Speaker 1: a jar, but it didn't look like there was any

369
00:19:38,920 --> 00:19:43,159
Speaker 1: forcible entry, So that's number one. Then there was a

370
00:19:43,200 --> 00:19:46,280
Speaker 1: cop that got interviewed and said it didn't seem like

371
00:19:46,320 --> 00:19:50,200
Speaker 1: there was visible trauma, but they could have been victims

372
00:19:50,240 --> 00:19:53,280
Speaker 1: of homicide, suicide, accident, death, or natural that I feel

373
00:19:53,320 --> 00:19:56,879
Speaker 1: like it was, Yeah, exactly, it was probably like some

374
00:19:57,080 --> 00:19:59,400
Speaker 1: just guy being a dick to a reporter or something.

375
00:20:00,680 --> 00:20:04,480
Speaker 1: So now they're they're obviously like, I don't think that

376
00:20:04,520 --> 00:20:06,879
Speaker 1: it's weird that they got a warrant, because if you

377
00:20:07,000 --> 00:20:09,119
Speaker 1: show up to do a wellness check and see that

378
00:20:09,200 --> 00:20:11,680
Speaker 1: someone's front door is open and then find them dead

379
00:20:11,680 --> 00:20:14,840
Speaker 1: in the house, I don't I would just do that

380
00:20:14,920 --> 00:20:15,720
Speaker 1: to cover my ass.

381
00:20:15,720 --> 00:20:18,080
Speaker 2: And it's fricking Gene Hackman. It's I don't think it's

382
00:20:18,119 --> 00:20:20,280
Speaker 2: weird they got it. I just thought it was weird

383
00:20:20,280 --> 00:20:24,920
Speaker 2: that yesterday seemed pretty straightforward, like no foul plays ispected,

384
00:20:25,000 --> 00:20:27,160
Speaker 2: and now they're saying there might be.

385
00:20:27,240 --> 00:20:30,360
Speaker 1: So these are some things. These are some of my theories.

386
00:20:30,400 --> 00:20:30,840
Speaker 2: Anyway.

387
00:20:31,440 --> 00:20:35,800
Speaker 1: Okay, so Gene Hackman could totally die. He's ninety five

388
00:20:35,920 --> 00:20:38,560
Speaker 1: years old or he was ninety five, right, Yeah, so

389
00:20:38,600 --> 00:20:39,120
Speaker 1: he could.

390
00:20:38,960 --> 00:20:40,000
Speaker 2: Just drop dead. He's old.

391
00:20:40,400 --> 00:20:43,880
Speaker 1: She's not old, sixty three, she's sixty three. So now

392
00:20:43,920 --> 00:20:47,600
Speaker 1: you have to be like, okay, something something happened, because

393
00:20:48,080 --> 00:20:51,240
Speaker 1: why is she dead too? So these are the possible scenarios.

394
00:20:52,119 --> 00:20:55,600
Speaker 1: They're in the house, okay. One other thing that we

395
00:20:55,680 --> 00:20:58,520
Speaker 1: have to say that's very important is that the investigators

396
00:20:58,520 --> 00:21:01,200
Speaker 1: are saying it looks like they were dead for some time.

397
00:21:02,119 --> 00:21:05,360
Speaker 2: Okay, So what's some time? Is it like a day

398
00:21:05,440 --> 00:21:06,479
Speaker 2: or two or a week?

399
00:21:07,640 --> 00:21:11,280
Speaker 1: I don't know. I'm assuming that they were decomposed. That's

400
00:21:11,320 --> 00:21:12,360
Speaker 1: that's what I get.

401
00:21:12,160 --> 00:21:14,560
Speaker 2: On because I read it was only like a day

402
00:21:14,640 --> 00:21:16,920
Speaker 2: or two, twenty four to forty eight hours.

403
00:21:17,000 --> 00:21:20,160
Speaker 1: No, they're saying sometime, so it's clear they've been dead

404
00:21:20,200 --> 00:21:23,159
Speaker 1: for a while. They're not fresh dead whatever. Okay, So

405
00:21:23,280 --> 00:21:28,199
Speaker 1: here's my possible scenarios. Number one, he died in the

406
00:21:28,240 --> 00:21:31,320
Speaker 1: house and like she couldn't deal with it and killed herself.

407
00:21:31,560 --> 00:21:31,720
Speaker 2: Right.

408
00:21:32,119 --> 00:21:34,480
Speaker 1: They found her on the floor, apparently in front of

409
00:21:34,480 --> 00:21:37,159
Speaker 1: a space heater, with like pills all over the floor.

410
00:21:37,680 --> 00:21:41,160
Speaker 1: So that's one option. That's possibility.

411
00:21:41,800 --> 00:21:42,359
Speaker 2: Number two.

412
00:21:42,880 --> 00:21:46,960
Speaker 1: They were also saying it's possible that she fell or something. Right,

413
00:21:47,760 --> 00:21:52,159
Speaker 1: So she's in the bathroom and she falls. Now let's

414
00:21:52,160 --> 00:21:54,760
Speaker 1: pretend she can't. She hits her head really bad, or

415
00:21:54,840 --> 00:21:57,280
Speaker 1: let's pretend she falls and dies. She hits her head

416
00:21:57,320 --> 00:22:00,320
Speaker 1: so bad. Well, let's say he's in the other but

417
00:22:00,359 --> 00:22:02,680
Speaker 1: he's ninety five years old and he needs her assistance

418
00:22:02,760 --> 00:22:06,520
Speaker 1: to get around or do anything. He can't walk, he

419
00:22:06,560 --> 00:22:09,240
Speaker 1: can't he can't do anything without her help. We don't

420
00:22:09,280 --> 00:22:12,360
Speaker 1: know what kind of condition he's in, right, So if

421
00:22:12,400 --> 00:22:16,960
Speaker 1: his main caregiver is now incapacitated, now he is also

422
00:22:17,680 --> 00:22:19,800
Speaker 1: at risk for dying because he has no one to

423
00:22:19,960 --> 00:22:22,760
Speaker 1: physically feed him and take care of him. So that's

424
00:22:22,800 --> 00:22:28,960
Speaker 1: another scenario. We could think about something crazy like their

425
00:22:29,000 --> 00:22:31,920
Speaker 1: food ate they ate was poisoned or something.

426
00:22:31,920 --> 00:22:33,920
Speaker 2: I don't think that that's really probable.

427
00:22:34,560 --> 00:22:37,359
Speaker 1: Obviously, people could have came in and killed them, although

428
00:22:37,400 --> 00:22:40,959
Speaker 1: there was no signs that they were they that they

429
00:22:41,000 --> 00:22:43,800
Speaker 1: were killed unless somebody did something shady like poisoning them

430
00:22:43,920 --> 00:22:47,000
Speaker 1: or something like that. So I just think it's more likely.

431
00:22:47,080 --> 00:22:49,160
Speaker 1: And now when you hear that the dog was dead

432
00:22:49,160 --> 00:22:51,600
Speaker 1: but the other dogs weren't dead, what I did read

433
00:22:51,640 --> 00:22:54,320
Speaker 1: in one of the articles was that there was a

434
00:22:54,440 --> 00:22:57,800
Speaker 1: closet next to the bathroom that this woman was in,

435
00:22:57,880 --> 00:22:59,720
Speaker 1: that the wife was in and the dog was in

436
00:22:59,760 --> 00:23:04,000
Speaker 1: the closet. So if there had been a couple of

437
00:23:04,080 --> 00:23:06,720
Speaker 1: days that went by and there were people that were

438
00:23:06,840 --> 00:23:12,320
Speaker 1: incapacitated or dead, then nobody could have opened the closet

439
00:23:12,440 --> 00:23:14,760
Speaker 1: or wherever this dog was staying, and the dog could

440
00:23:14,800 --> 00:23:17,200
Speaker 1: have just died because it didn't have anything to eat

441
00:23:17,280 --> 00:23:18,440
Speaker 1: or drink for a couple of days.

442
00:23:19,280 --> 00:23:22,320
Speaker 2: Okay, So I totally can see what you're saying about, like,

443
00:23:23,840 --> 00:23:27,240
Speaker 2: you know, one of them dying of natural vice versa, right,

444
00:23:27,600 --> 00:23:30,600
Speaker 2: But I also think there is a possibility. Let's say

445
00:23:30,760 --> 00:23:33,719
Speaker 2: they got some horrible food poisoning or something, and like

446
00:23:33,840 --> 00:23:36,600
Speaker 2: they ate the same meal and then the dog dogs

447
00:23:36,640 --> 00:23:38,119
Speaker 2: often eat human food.

448
00:23:38,280 --> 00:23:41,520
Speaker 1: I just listen, it's I said it because it's a possibility.

449
00:23:41,560 --> 00:23:44,359
Speaker 1: I just think that that's outrageous. I just think it

450
00:23:44,400 --> 00:23:47,359
Speaker 1: has to listen. When I read this story. This is

451
00:23:47,359 --> 00:23:49,359
Speaker 1: going to be my honest first thought. When I read

452
00:23:49,359 --> 00:23:52,480
Speaker 1: this story, I was like, this is what every child

453
00:23:52,560 --> 00:23:55,640
Speaker 1: dreads when their old parents lived together far away from

454
00:23:55,640 --> 00:24:00,800
Speaker 1: them because they need each other to survive. There's no

455
00:24:00,800 --> 00:24:03,160
Speaker 1: one else around to check in on them all the time.

456
00:24:03,920 --> 00:24:07,159
Speaker 1: And now you got a situation where if he was

457
00:24:07,200 --> 00:24:11,919
Speaker 1: the only adult in the house and she, for whatever reason,

458
00:24:12,160 --> 00:24:14,080
Speaker 1: was stuck on the floor, even if it was for

459
00:24:14,200 --> 00:24:18,480
Speaker 1: something silly, he can't help her, or vice versa.

460
00:24:18,600 --> 00:24:19,200
Speaker 2: You know what I mean.

461
00:24:19,280 --> 00:24:22,680
Speaker 1: Like, it's just that's what the vibe get off of it.

462
00:24:22,680 --> 00:24:25,560
Speaker 1: It sounds it sounds crazy. But as soon as I

463
00:24:25,600 --> 00:24:28,320
Speaker 1: heard that the dog was locked up, I was like, well, duh,

464
00:24:28,359 --> 00:24:30,240
Speaker 1: And even if the dog wasn't locked up, the dog

465
00:24:30,280 --> 00:24:32,679
Speaker 1: would have ate one of them, Right, that's what And

466
00:24:32,720 --> 00:24:34,919
Speaker 1: maybe that's what the other two did. We have no

467
00:24:35,000 --> 00:24:38,840
Speaker 1: idea what happened. We don't know about what their bodies

468
00:24:38,840 --> 00:24:41,000
Speaker 1: looked like, where they decompose, were they this, were they that?

469
00:24:41,040 --> 00:24:43,320
Speaker 1: So we just we don't really know. And the good

470
00:24:43,320 --> 00:24:45,360
Speaker 1: thing is is that they're going to get autopsies done.

471
00:24:45,440 --> 00:24:48,280
Speaker 1: And let's say, for example, they do the autopsy on

472
00:24:49,080 --> 00:24:51,440
Speaker 1: the wife that was found in the bathroom, they're clearly

473
00:24:51,480 --> 00:24:53,520
Speaker 1: going to be able to tell if she fell and

474
00:24:53,600 --> 00:24:57,640
Speaker 1: hit her head, or however she died, if she did

475
00:24:58,000 --> 00:25:00,960
Speaker 1: decide to take drugs or something, whatever she decided to do,

476
00:25:02,320 --> 00:25:05,000
Speaker 1: or whatever happened, they'll be able to tell from the autopsy.

477
00:25:05,760 --> 00:25:09,479
Speaker 2: I would say, your second option is most plausible, like

478
00:25:09,600 --> 00:25:12,960
Speaker 2: she got hurt first and then he couldn't get up

479
00:25:13,000 --> 00:25:16,639
Speaker 2: and do anything. Yeah, I mean because if he died,

480
00:25:17,440 --> 00:25:20,200
Speaker 2: and even if she emotionally couldn't take it, why wouldn't

481
00:25:20,240 --> 00:25:24,080
Speaker 2: she say anything? What do you mean, like, why wouldn't

482
00:25:24,119 --> 00:25:27,760
Speaker 2: she call the police or anything? Well, or I.

483
00:25:29,560 --> 00:25:32,360
Speaker 1: Don't really think that's I don't think we're gonna hear

484
00:25:32,400 --> 00:25:35,240
Speaker 1: anything else more crazy out of this. It just sounds

485
00:25:35,359 --> 00:25:38,439
Speaker 1: it just sounds very weird right now. But if you

486
00:25:38,520 --> 00:25:40,960
Speaker 1: talk to ems people and stuff, it's like stuff like

487
00:25:41,000 --> 00:25:45,399
Speaker 1: that happens when you have You can't have like a

488
00:25:45,480 --> 00:25:48,840
Speaker 1: really old senior citizen looking over another senior.

489
00:25:48,480 --> 00:25:52,480
Speaker 2: Citizen, you know. It's just like and this happened to Lara.

490
00:25:52,800 --> 00:25:56,800
Speaker 1: Her mom lived alone, and her mom fell one day, right,

491
00:25:57,560 --> 00:25:59,840
Speaker 1: and Lara checked on her mom every day, so it

492
00:25:59,880 --> 00:26:02,000
Speaker 1: was fine, but she was like, I found last night,

493
00:26:02,040 --> 00:26:04,680
Speaker 1: I've been laying on the floor for six hours or something.

494
00:26:04,760 --> 00:26:07,719
Speaker 2: And Lar's like, what the fuck? You don't have your

495
00:26:07,760 --> 00:26:10,480
Speaker 2: phone in your pocket and you can't move. That's why

496
00:26:10,560 --> 00:26:13,680
Speaker 2: it made those buttons for people, Yeah, life alert.

497
00:26:13,960 --> 00:26:17,439
Speaker 1: But yeah, so it's just like a fear, you know,

498
00:26:17,560 --> 00:26:20,159
Speaker 1: like I obviously we don't have that because my parents

499
00:26:20,200 --> 00:26:23,480
Speaker 1: live on my brother's campus and my sister lives next

500
00:26:23,480 --> 00:26:27,200
Speaker 1: door too, But but I mean, if momm and pop

501
00:26:27,200 --> 00:26:29,399
Speaker 1: Pap lived up there by themselves, we would have to

502
00:26:29,440 --> 00:26:31,960
Speaker 1: be taking rotating turns every two days to go check

503
00:26:32,000 --> 00:26:34,960
Speaker 1: on them, yeah, you know, or just like get them

504
00:26:35,000 --> 00:26:37,560
Speaker 1: the life alert thing and stuff, because that just happens

505
00:26:37,560 --> 00:26:38,159
Speaker 1: to old people.

506
00:26:38,200 --> 00:26:44,080
Speaker 2: So it sucks because you know, like he's ninety five.

507
00:26:44,119 --> 00:26:44,600
Speaker 2: Who who.

508
00:26:44,680 --> 00:26:46,199
Speaker 1: You don't want to be doing an autopsy on a

509
00:26:46,240 --> 00:26:48,359
Speaker 1: ninety five year old person because they were found in

510
00:26:48,400 --> 00:26:51,159
Speaker 1: this way, but it's safe to do for him because

511
00:26:51,200 --> 00:26:52,600
Speaker 1: he's so high profile, you know.

512
00:26:53,160 --> 00:26:56,800
Speaker 2: Yeah, all right. The Grand Dame of Potomac Karen Huger

513
00:26:56,920 --> 00:26:59,120
Speaker 2: sixty one years old. She has been sentenced to one

514
00:26:59,160 --> 00:27:02,719
Speaker 2: year of prison after getting a DUI last year. I

515
00:27:02,760 --> 00:27:05,560
Speaker 2: didn't know this, but this was her fourth alcohol related

516
00:27:05,640 --> 00:27:09,480
Speaker 2: driving offense. So this prison sentence makes sense to me.

517
00:27:09,680 --> 00:27:11,840
Speaker 2: And now that I think about that, it's a little

518
00:27:11,960 --> 00:27:14,920
Speaker 2: like considering four times.

519
00:27:15,320 --> 00:27:20,040
Speaker 1: Yes, So the judge said something interesting, We can't how

520
00:27:20,080 --> 00:27:22,280
Speaker 1: are we supposed to believe in the last seventeen years,

521
00:27:22,280 --> 00:27:25,840
Speaker 1: you've only gotten pulled over for You've only drank and

522
00:27:25,960 --> 00:27:29,359
Speaker 1: drive for four times, right, and you got caught the

523
00:27:29,480 --> 00:27:32,160
Speaker 1: only time, the only time. Yeah, she's trying to say

524
00:27:32,160 --> 00:27:36,000
Speaker 1: the only time she got caught. And the craziest statistic ever,

525
00:27:36,080 --> 00:27:38,720
Speaker 1: if you look up statistics of drunk driving, is that

526
00:27:39,080 --> 00:27:42,760
Speaker 1: they believe that the average drunk driver will be under

527
00:27:42,760 --> 00:27:46,280
Speaker 1: the influence driving eighty times before they even get arrested

528
00:27:46,320 --> 00:27:52,520
Speaker 1: with their first DUI. I mean that's outrageous. So, just

529
00:27:52,560 --> 00:27:56,040
Speaker 1: based on statistics, she's drinking and driving like all the time.

530
00:27:56,960 --> 00:28:00,240
Speaker 2: I don't know if you saw her BAC. I was

531
00:28:00,240 --> 00:28:02,840
Speaker 2: trying to look it up, but I didn't find it successfully,

532
00:28:02,920 --> 00:28:06,160
Speaker 2: but I watched the body cam footage a couple months

533
00:28:06,160 --> 00:28:08,880
Speaker 2: ago when that came out, and she was pissed as drunk.

534
00:28:09,000 --> 00:28:11,760
Speaker 2: I mean she immediately was like, don't you know who

535
00:28:11,800 --> 00:28:13,600
Speaker 2: I am? She name dropped Andy Cohen.

536
00:28:13,800 --> 00:28:16,480
Speaker 1: I hate hearing that shit, and it's just like, well, really,

537
00:28:16,520 --> 00:28:17,120
Speaker 1: who are you?

538
00:28:17,119 --> 00:28:20,600
Speaker 2: Your fucking housewife? Get over yourself? Really has happened with

539
00:28:20,840 --> 00:28:25,080
Speaker 2: Reese Witherspoon, right, yeah, and it happened with Austin Timberlake too. Yeah.

540
00:28:25,119 --> 00:28:27,480
Speaker 1: So its like but at least there were like somebodies

541
00:28:27,520 --> 00:28:28,200
Speaker 1: like who's who?

542
00:28:28,400 --> 00:28:30,480
Speaker 2: Who knows who a housewife is? Beside you?

543
00:28:31,240 --> 00:28:34,200
Speaker 1: Like yeah, exactly or not really, like like a list

544
00:28:34,280 --> 00:28:35,399
Speaker 1: celebrities are anything.

545
00:28:35,840 --> 00:28:39,480
Speaker 2: So she yeah, she she said, who don't you know

546
00:28:39,520 --> 00:28:41,680
Speaker 2: who I am? She tried to name drop Andy Cohen.

547
00:28:41,960 --> 00:28:46,000
Speaker 2: Then she started referring to herself as quote Thomas Jefferson's concubine.

548
00:28:46,040 --> 00:28:50,520
Speaker 2: Everybody's like, what are you talking about, you crazy lady? Yeah,

549
00:28:50,520 --> 00:28:53,480
Speaker 2: they said we didn't she insult the cop too. Yeah,

550
00:28:53,480 --> 00:28:55,720
Speaker 2: she was saying. I don't know the exact quote, but

551
00:28:55,760 --> 00:28:58,200
Speaker 2: she was saying something along the lines of like, don't

552
00:28:58,240 --> 00:29:01,040
Speaker 2: you know I don't like you or something. She said

553
00:29:01,080 --> 00:29:03,440
Speaker 2: something like you're like a poor white boy or something.

554
00:29:03,840 --> 00:29:05,760
Speaker 2: I don't I don't know which. I'm just like, how

555
00:29:05,800 --> 00:29:06,760
Speaker 2: douchey can you be?

556
00:29:06,960 --> 00:29:07,040
Speaker 1: Like?

557
00:29:07,080 --> 00:29:10,640
Speaker 2: She sounds like such a douchebag? Don't you know who

558
00:29:10,680 --> 00:29:12,240
Speaker 2: I am? Oh? Poor little white boy?

559
00:29:12,480 --> 00:29:16,040
Speaker 1: Like, listen, it's like, do you want to piss off

560
00:29:16,040 --> 00:29:18,640
Speaker 1: a cop right now? Like he's pulling over some rich

561
00:29:18,720 --> 00:29:21,400
Speaker 1: lady that has been really nice to her, I know,

562
00:29:21,520 --> 00:29:24,600
Speaker 1: and she has four d uiy's right, and he's pulling

563
00:29:24,600 --> 00:29:27,800
Speaker 1: her over, probably in some Lamborghini or some shit, and

564
00:29:27,800 --> 00:29:31,720
Speaker 1: then you're telling him that he's poor, like that's not good.

565
00:29:32,120 --> 00:29:34,080
Speaker 1: That would purposely make me be like, you know what,

566
00:29:34,240 --> 00:29:35,240
Speaker 1: I'm gonna get her in.

567
00:29:35,200 --> 00:29:38,880
Speaker 2: As much trouble as I possibly can under the law. Yeah,

568
00:29:39,280 --> 00:29:41,880
Speaker 2: they're way too nice like that. That shit would piss

569
00:29:41,920 --> 00:29:46,680
Speaker 2: me off. Man. So basically, I guess the controversy in

570
00:29:46,720 --> 00:29:50,800
Speaker 2: the Bravo world is nobody could understand why right when

571
00:29:50,840 --> 00:29:52,960
Speaker 2: it happened, she didn't go to rehab and try to

572
00:29:53,000 --> 00:29:56,240
Speaker 2: make some plea deal. But she didn't. She like fought

573
00:29:56,280 --> 00:29:57,800
Speaker 2: to have this trial, and.

574
00:29:57,840 --> 00:30:01,520
Speaker 1: Of course she lost the trial. Well because she's a narcissist. So,

575
00:30:01,560 --> 00:30:03,120
Speaker 1: I mean, you could tell just by the way she

576
00:30:03,160 --> 00:30:06,000
Speaker 1: talks to people. But she thinks that she's that the

577
00:30:06,080 --> 00:30:08,120
Speaker 1: rules don't apply to her and she's above the law.

578
00:30:08,240 --> 00:30:10,360
Speaker 1: And I love how this turned out.

579
00:30:10,440 --> 00:30:13,000
Speaker 2: Actually, yeah, so she was sentenced to a two year

580
00:30:13,040 --> 00:30:15,920
Speaker 2: prison term. One of the years is suspended. She has

581
00:30:15,960 --> 00:30:18,200
Speaker 2: thirty days to appeal it. I mean, this is not

582
00:30:18,320 --> 00:30:22,080
Speaker 2: getting appealed. I'm sorry. She crashed into a bunch of

583
00:30:22,080 --> 00:30:24,640
Speaker 2: traffic signs and I believe a median which is why

584
00:30:24,680 --> 00:30:27,600
Speaker 2: she got pulled over. It's not like she was even swerving.

585
00:30:27,640 --> 00:30:30,440
Speaker 2: She got in an accident and it could have been

586
00:30:30,480 --> 00:30:33,880
Speaker 2: really bad. She could have killed somebody. And considering you know,

587
00:30:34,480 --> 00:30:36,840
Speaker 2: when we were talking about this in the car yesterday,

588
00:30:36,960 --> 00:30:39,680
Speaker 2: I first said, Wow, I can't believe they sentenced her,

589
00:30:39,720 --> 00:30:42,240
Speaker 2: because we talk about so many duy cases where people

590
00:30:42,280 --> 00:30:45,040
Speaker 2: don't get in trouble at all. And I was surprised

591
00:30:45,040 --> 00:30:46,520
Speaker 2: at that, And then when I learned that this was

592
00:30:46,560 --> 00:30:48,840
Speaker 2: her fourth defense, I do think it's a little light

593
00:30:49,040 --> 00:30:49,800
Speaker 2: of a sentence.

594
00:30:50,080 --> 00:30:53,440
Speaker 1: Yeah, and she really I mean, like, like we were

595
00:30:53,480 --> 00:30:57,320
Speaker 1: talking about earlier, with alcoholism being a medical condition and

596
00:30:57,320 --> 00:31:01,840
Speaker 1: stuff like it, I have a distaste for people who

597
00:31:01,920 --> 00:31:05,960
Speaker 1: drink and drive it just because I just think it's

598
00:31:06,120 --> 00:31:09,400
Speaker 1: it's just incredibly selfish and preventable. But like, at the

599
00:31:09,440 --> 00:31:13,239
Speaker 1: same time, if you're drinking and driving that much, you

600
00:31:13,400 --> 00:31:15,680
Speaker 1: have I mean, she's an alcoholic and.

601
00:31:15,600 --> 00:31:18,680
Speaker 2: She needs help. She said, she's not ann No, she is.

602
00:31:18,760 --> 00:31:21,880
Speaker 2: I don't care what she says. She is like, so, yeah,

603
00:31:22,040 --> 00:31:23,560
Speaker 2: you don't. What do you do you want me to

604
00:31:23,600 --> 00:31:24,040
Speaker 2: believe that?

605
00:31:24,120 --> 00:31:27,840
Speaker 1: She like, she's had four glasses of wine and at

606
00:31:27,840 --> 00:31:32,120
Speaker 1: dinner and come on, this is just it's this is

607
00:31:32,160 --> 00:31:34,920
Speaker 1: a clear sign of it. And she I just wish, like,

608
00:31:34,960 --> 00:31:37,600
Speaker 1: you're gonna put this chick in jail, but all you're

609
00:31:37,600 --> 00:31:39,440
Speaker 1: gonna do when she gets out of jail is increase

610
00:31:39,480 --> 00:31:42,160
Speaker 1: her anxiety. And and then she's gonna want to drink more.

611
00:31:42,680 --> 00:31:45,360
Speaker 2: I doubt she's gonna go to like a hard jail.

612
00:31:45,440 --> 00:31:48,760
Speaker 1: She'll go to one of those pound me in the

613
00:31:48,800 --> 00:31:49,360
Speaker 1: Ass prison.

614
00:31:49,360 --> 00:31:52,960
Speaker 2: What do they say on Office Space, I don't know,

615
00:31:53,040 --> 00:31:56,400
Speaker 2: you know that movie Almos a movie pound Me in

616
00:31:56,440 --> 00:31:59,520
Speaker 2: the Ass prison or whatever. She's gonna go to, probably

617
00:31:59,520 --> 00:32:02,600
Speaker 2: one of those nice prisons that all her other housewife

618
00:32:03,240 --> 00:32:05,960
Speaker 2: jail birds have gone to, which they referred to as

619
00:32:06,080 --> 00:32:08,760
Speaker 2: camp because it's like nice and they could do whatever

620
00:32:08,800 --> 00:32:12,360
Speaker 2: they want. Didn't Teresa good Ice go to jail, Yeah,

621
00:32:12,360 --> 00:32:16,400
Speaker 2: and Jennifer Shaw. So she is now the third housewife

622
00:32:16,480 --> 00:32:21,040
Speaker 2: in my lifetime that she sent to prison. So, I mean,

623
00:32:21,120 --> 00:32:23,520
Speaker 2: it's only the tip of the iceberg. There are there's

624
00:32:24,120 --> 00:32:29,280
Speaker 2: there's literally an entire podcast devoted to Bravo lawsuits. There

625
00:32:29,280 --> 00:32:33,960
Speaker 2: are so many. I don't know, I'm not I was

626
00:32:34,000 --> 00:32:36,160
Speaker 2: surprised by the since at first, but as I said,

627
00:32:36,160 --> 00:32:38,560
Speaker 2: now that I've discovered it's her fourth offense, I think

628
00:32:38,720 --> 00:32:41,960
Speaker 2: she could have maybe got a little more time. I

629
00:32:42,000 --> 00:32:44,520
Speaker 2: don't know why we're letting drunk drivers off so late,

630
00:32:44,680 --> 00:32:56,480
Speaker 2: especially when they're in the multiple offense territory. This episode

631
00:32:56,520 --> 00:32:59,200
Speaker 2: is brought to you by the gross room. Guys, last night,

632
00:32:59,440 --> 00:33:01,920
Speaker 2: we told you that we were having this dinner with

633
00:33:02,040 --> 00:33:05,400
Speaker 2: a grocerymember to celebrate our five year anniversary, and we

634
00:33:05,440 --> 00:33:07,080
Speaker 2: went last night. It was so fun.

635
00:33:07,120 --> 00:33:11,120
Speaker 1: Emma was so cute and we we talked about the

636
00:33:11,120 --> 00:33:14,880
Speaker 1: Phillies and we talked. Well, we had good food, right,

637
00:33:15,600 --> 00:33:18,120
Speaker 1: but Maria tell him about our waiter.

638
00:33:18,240 --> 00:33:23,120
Speaker 2: How fucking annoying it was. Again, I'm gonna say, like

639
00:33:24,280 --> 00:33:27,200
Speaker 2: the server and the manager came over to the table

640
00:33:27,800 --> 00:33:31,160
Speaker 2: way way too many times, but it was like fifteen times.

641
00:33:31,200 --> 00:33:33,240
Speaker 2: It had to be more than fifteen. I'm not putting

642
00:33:33,280 --> 00:33:35,800
Speaker 2: the full blame on the server because I had worked

643
00:33:35,800 --> 00:33:39,240
Speaker 2: for that parent company before and they make them do that.

644
00:33:39,360 --> 00:33:42,280
Speaker 2: And I think it's almost worthy of writing a letter

645
00:33:42,320 --> 00:33:45,720
Speaker 2: because you know, we're sitting there having like this awesome conversation,

646
00:33:45,840 --> 00:33:48,800
Speaker 2: learning everything about Emma's life. She's just amazing. Well theer,

647
00:33:48,920 --> 00:33:51,200
Speaker 2: this mother, her father worked for the Emmy. We're having

648
00:33:51,360 --> 00:33:55,000
Speaker 2: these awesome conversations and we're interrupted one hundred times and

649
00:33:55,040 --> 00:33:56,920
Speaker 2: I was like, dude, you just want to sit on

650
00:33:56,960 --> 00:33:59,640
Speaker 2: my lap and feed It.

651
00:33:59,600 --> 00:34:02,640
Speaker 1: Was so outrageous, But that was really cool. So hopefully

652
00:34:02,680 --> 00:34:05,480
Speaker 1: we'll be doing more dinners like that with some of

653
00:34:05,520 --> 00:34:09,080
Speaker 1: our members. But this week, Maria's article is coming out

654
00:34:09,120 --> 00:34:14,040
Speaker 1: about a human egg farm, which is very crazy, actually

655
00:34:14,040 --> 00:34:16,279
Speaker 1: outrageous and crazy. And I have a really cool video

656
00:34:16,400 --> 00:34:19,000
Speaker 1: that I'm going to be posting later that's also outrageous,

657
00:34:19,080 --> 00:34:19,799
Speaker 1: So check it out.

658
00:34:20,360 --> 00:34:22,480
Speaker 2: Yeah, head over to the Grosserroom dot com for more

659
00:34:22,520 --> 00:34:23,680
Speaker 2: info and to sign up.

660
00:34:28,239 --> 00:34:31,640
Speaker 1: Okay, let's get into true crimes because we have some

661
00:34:31,800 --> 00:34:32,720
Speaker 1: doozies this week.

662
00:34:33,560 --> 00:34:36,160
Speaker 2: All right, let's talk about the preppy Princeton murder. So

663
00:34:36,400 --> 00:34:39,480
Speaker 2: there was these two brothers, Matt and Joe. They were

664
00:34:39,560 --> 00:34:42,000
Speaker 2: raised in this wealthy family in New Jersey, and we're

665
00:34:42,000 --> 00:34:44,759
Speaker 2: living in a luxury apartment in Princeton. I don't know

666
00:34:44,800 --> 00:34:46,880
Speaker 2: if you know this, but we actually drove by this

667
00:34:46,960 --> 00:34:48,520
Speaker 2: apartment building when we were in print.

668
00:34:48,680 --> 00:34:52,520
Speaker 1: Now, yes, we were in Princeton yesterday. It's, oddly enough,

669
00:34:52,600 --> 00:34:55,239
Speaker 1: the first time I've ever been on Princeton's campus, and

670
00:34:55,280 --> 00:34:57,680
Speaker 1: I loved it. I thought it was beautiful, and then

671
00:34:57,719 --> 00:34:59,959
Speaker 1: I'm like, oh wow, now I could kind of put

672
00:35:00,600 --> 00:35:02,439
Speaker 1: we could put ourselves there because we were there. Yet

673
00:35:02,440 --> 00:35:06,160
Speaker 1: we were there yesterday for another reason, which obviously, like

674
00:35:06,320 --> 00:35:08,000
Speaker 1: we could have checked this out if we knew.

675
00:35:08,520 --> 00:35:10,839
Speaker 2: Yeah, we didn't even know about this case when we

676
00:35:10,840 --> 00:35:13,040
Speaker 2: were there. So now I'm like really mad that we

677
00:35:13,040 --> 00:35:16,480
Speaker 2: were all the way there. But I remember I looked

678
00:35:16,520 --> 00:35:18,880
Speaker 2: up this apartment building on the map, and then I

679
00:35:18,960 --> 00:35:22,600
Speaker 2: specifically remember driving by it because across the street or

680
00:35:22,680 --> 00:35:25,440
Speaker 2: near it with some coffee shop, I specifically pointed out

681
00:35:25,520 --> 00:35:27,120
Speaker 2: to you and said like we could go there and

682
00:35:27,160 --> 00:35:30,359
Speaker 2: get a jury. God. So, anyway, this is all going

683
00:35:30,400 --> 00:35:33,520
Speaker 2: down in Princeton. So Saturday night police respond to this

684
00:35:33,640 --> 00:35:35,520
Speaker 2: nine one one call that there's a dead body and

685
00:35:35,560 --> 00:35:38,399
Speaker 2: a fire at this luxury apartment building. So they get

686
00:35:38,440 --> 00:35:40,920
Speaker 2: to the apartment and they find the younger brother, Joe.

687
00:35:41,239 --> 00:35:44,200
Speaker 2: He's dead. He has signs up blone force trauma and lacerations,

688
00:35:44,239 --> 00:35:46,399
Speaker 2: and it turns out that the older brother, Matt, had

689
00:35:46,400 --> 00:35:49,040
Speaker 2: beat him with a golf club and a knife before

690
00:35:49,080 --> 00:35:53,320
Speaker 2: setting the family's cat on fire and then allegedly cutting

691
00:35:53,400 --> 00:35:57,080
Speaker 2: out the younger brother's eyeball and eating it. Yeah, so

692
00:35:57,760 --> 00:36:02,000
Speaker 2: when when did the eyeball get caught out? Because was

693
00:36:02,040 --> 00:36:05,560
Speaker 2: it before he died or after he died? I don't

694
00:36:05,560 --> 00:36:06,000
Speaker 2: really know.

695
00:36:06,160 --> 00:36:08,600
Speaker 1: See, they'll be able to tell this at autopsy. Because

696
00:36:08,880 --> 00:36:11,359
Speaker 1: the way that the article was written, it was like

697
00:36:11,760 --> 00:36:15,120
Speaker 1: ripped out his little brother's eyeball before beating and slashing

698
00:36:15,160 --> 00:36:16,920
Speaker 1: him to death. So I'm like, did he rip out

699
00:36:16,920 --> 00:36:19,960
Speaker 1: the eye and then beat him up? Like I'm curious

700
00:36:20,000 --> 00:36:24,160
Speaker 1: about that. Like, listen, this guy had posted on Facebook

701
00:36:24,280 --> 00:36:27,359
Speaker 1: a couple months ago something about sharpening a knife and

702
00:36:27,719 --> 00:36:30,439
Speaker 1: blood oozing out of his eyes and stuff. Like, he's

703
00:36:30,600 --> 00:36:35,440
Speaker 1: clearly having some kind of psychosis and some kind of

704
00:36:35,480 --> 00:36:41,520
Speaker 1: mental health issues that weren't being addressed or treated. I

705
00:36:41,560 --> 00:36:45,080
Speaker 1: don't know why he wasn't getting treated for this, but

706
00:36:45,840 --> 00:36:50,160
Speaker 1: the Facebook post alone were very alarming. So I'm not

707
00:36:50,200 --> 00:36:52,600
Speaker 1: sure why he was just walking around, but he was

708
00:36:52,640 --> 00:36:56,680
Speaker 1: probably hearing voices and stuff. And you see cases of

709
00:36:56,719 --> 00:37:00,000
Speaker 1: this from time to time, where people who kill people

710
00:37:00,160 --> 00:37:05,720
Speaker 1: do really outrageous things and including cannibalism, and like it's

711
00:37:05,760 --> 00:37:08,279
Speaker 1: it's it's like, not like the guy. I don't think

712
00:37:08,280 --> 00:37:11,480
Speaker 1: they're gonna find that the guy's evil. He's probably schizophrenic.

713
00:37:12,239 --> 00:37:15,880
Speaker 1: I mean he's thirty one, yeah, he's like in that

714
00:37:16,000 --> 00:37:19,080
Speaker 1: age range. So they get to this scene and they

715
00:37:19,120 --> 00:37:21,840
Speaker 1: find this kid dead and then there's a plate and

716
00:37:21,920 --> 00:37:25,360
Speaker 1: a fork next to his body and his eyeballs missing.

717
00:37:25,520 --> 00:37:29,040
Speaker 1: So I always miss it's missing, like they couldn't find

718
00:37:29,080 --> 00:37:29,720
Speaker 1: it on the scene.

719
00:37:29,719 --> 00:37:32,640
Speaker 2: They really believe he ate it. No, they really believe

720
00:37:32,680 --> 00:37:35,960
Speaker 2: he ate it. And beyond the Facebook post, it doesn't

721
00:37:35,960 --> 00:37:39,400
Speaker 2: seem like there was much. I don't know, there weren't

722
00:37:39,440 --> 00:37:42,279
Speaker 2: many signs that he was going through something, at least

723
00:37:42,280 --> 00:37:45,800
Speaker 2: publicly to family, friends and everything in acquaintances. The poem

724
00:37:45,840 --> 00:37:51,080
Speaker 2: on Facebook though, is yeah, weird, it's disturbing. But you know,

725
00:37:51,239 --> 00:37:53,200
Speaker 2: when you think of somebody that would do something like this,

726
00:37:53,280 --> 00:37:55,560
Speaker 2: it's like, Okay, they're walking around, they're talking to themselves,

727
00:37:55,600 --> 00:37:58,879
Speaker 2: they're like constantly getting in situations. According to everybody, these

728
00:37:58,880 --> 00:38:02,480
Speaker 2: brothers were soccers. The whole family with was athletic and

729
00:38:02,520 --> 00:38:06,160
Speaker 2: really nice and super sweet, and it just become a

730
00:38:06,200 --> 00:38:08,239
Speaker 2: total shock to everybody that knows them.

731
00:38:08,280 --> 00:38:10,440
Speaker 1: And that's another thing that makes you think that he

732
00:38:10,600 --> 00:38:13,960
Speaker 1: was really having some kind of psychotic episode, because they

733
00:38:13,960 --> 00:38:17,200
Speaker 1: interviewed one of his coaches and he was like, literally,

734
00:38:17,239 --> 00:38:20,359
Speaker 1: nothing was ever off. He was totally normal, and that

735
00:38:20,400 --> 00:38:24,080
Speaker 1: makes you think, Okay, clearly he was going through something.

736
00:38:25,400 --> 00:38:27,080
Speaker 2: Yeah. I mean like, but.

737
00:38:27,120 --> 00:38:29,960
Speaker 1: They have another brother. I mean, imagine being that other brother.

738
00:38:30,200 --> 00:38:32,080
Speaker 1: It's just like one of your brothers is dead and

739
00:38:32,160 --> 00:38:34,680
Speaker 1: the other. I mean, this is it's a tragedy for

740
00:38:34,760 --> 00:38:35,280
Speaker 1: the family.

741
00:38:35,320 --> 00:38:38,200
Speaker 2: Really, I don't know. I was trying to figure out.

742
00:38:38,239 --> 00:38:40,600
Speaker 2: I don't know if you saw this, like were they

743
00:38:40,760 --> 00:38:43,680
Speaker 2: were him and the younger brother living at home with

744
00:38:43,800 --> 00:38:46,160
Speaker 2: the parents, because that's what it seemed like, that they

745
00:38:46,160 --> 00:38:49,440
Speaker 2: were living in their family home in this luxury apartment,

746
00:38:49,600 --> 00:38:53,719
Speaker 2: so that's like the mom and dad's house where they aren't.

747
00:38:53,840 --> 00:38:56,040
Speaker 2: That's when I was picking up from the article. So

748
00:38:56,719 --> 00:38:58,560
Speaker 2: I mean, not that people don't do it, but I

749
00:38:58,560 --> 00:39:01,320
Speaker 2: would consider it unusual for a thirty year old grown

750
00:39:01,360 --> 00:39:03,520
Speaker 2: man to be living at home with their parents. So

751
00:39:04,760 --> 00:39:07,120
Speaker 2: I'm just saying, like, I know, people definitely do that,

752
00:39:07,280 --> 00:39:10,719
Speaker 2: but that's another sign maybe that maybe he was going

753
00:39:10,719 --> 00:39:13,480
Speaker 2: through something and they were like caregivers for him. Maybe.

754
00:39:14,360 --> 00:39:16,560
Speaker 2: So I don't know, this is really sad. He's been

755
00:39:16,640 --> 00:39:19,800
Speaker 2: charged with first degree murder, weapon offenses and animal cruelty

756
00:39:19,840 --> 00:39:22,319
Speaker 2: and he's facing up to thirty years to life in

757
00:39:22,360 --> 00:39:26,840
Speaker 2: prison for this. That's another thing too, like who sets

758
00:39:26,840 --> 00:39:28,680
Speaker 2: a count on fire? You know, it's just like the

759
00:39:28,719 --> 00:39:30,000
Speaker 2: things that he's doing are.

760
00:39:29,840 --> 00:39:32,640
Speaker 1: Just so abnormal that you have to think something's going on.

761
00:39:33,040 --> 00:39:35,440
Speaker 2: Okay, In New Hampshire, a twenty three year old content

762
00:39:35,480 --> 00:39:38,240
Speaker 2: creator has been arrested after she went into a grocery

763
00:39:38,239 --> 00:39:40,840
Speaker 2: store pete on a bunch of products and videoed herself

764
00:39:40,880 --> 00:39:44,400
Speaker 2: doing it. I wonder why she did this. It's really so.

765
00:39:44,520 --> 00:39:47,160
Speaker 2: This is a New Hampshire, right, yeah. God.

766
00:39:47,239 --> 00:39:49,440
Speaker 1: And then they list the grocery store, which I feel

767
00:39:49,560 --> 00:39:52,799
Speaker 1: terrible because it sounds like it's a little like an

768
00:39:52,920 --> 00:39:57,399
Speaker 1: organic grocery store, a little family owned place probably, And

769
00:39:57,960 --> 00:40:00,560
Speaker 1: here they're having to put out a statement that they

770
00:40:00,600 --> 00:40:02,920
Speaker 1: looked at the video and saw all the products that

771
00:40:03,000 --> 00:40:05,279
Speaker 1: this woman peded on and threw out the products and

772
00:40:05,320 --> 00:40:07,640
Speaker 1: had to clean up the area, and then listed the

773
00:40:07,640 --> 00:40:11,160
Speaker 1: products on the website like, hey, it's not anything fresh.

774
00:40:11,239 --> 00:40:13,319
Speaker 1: It was all this packaged stuff. So just make sure

775
00:40:13,360 --> 00:40:15,480
Speaker 1: you checked it if you have any of this, and

776
00:40:15,560 --> 00:40:17,000
Speaker 1: bring it back to the store and we'll.

777
00:40:16,840 --> 00:40:17,680
Speaker 2: Give you a refund.

778
00:40:18,280 --> 00:40:20,000
Speaker 1: I mean, like, what the fuck is wrong with people?

779
00:40:20,480 --> 00:40:23,479
Speaker 2: Yeah, So they're reporting fifteen hundred dollars in loss, which

780
00:40:23,520 --> 00:40:26,000
Speaker 2: that's a really big hit to a small store like

781
00:40:26,040 --> 00:40:28,800
Speaker 2: that if they're family owned. And the products that she

782
00:40:28,960 --> 00:40:33,640
Speaker 2: contaminated was quen Wa corn meal, shredded coconut polenta, raw walnuts.

783
00:40:34,280 --> 00:40:37,480
Speaker 2: Thank god, she didn't pee on any fresh produce or anything.

784
00:40:37,520 --> 00:40:39,640
Speaker 2: I mean, at least those things are in packages. Not

785
00:40:39,760 --> 00:40:42,880
Speaker 2: that it makes it better necessarily, but it would probably

786
00:40:42,920 --> 00:40:46,440
Speaker 2: be harder to contaminate the food directly. She's contaminating the packages.

787
00:40:46,480 --> 00:40:50,320
Speaker 2: But this just seems like a completely mentally ill person

788
00:40:50,360 --> 00:40:52,239
Speaker 2: that's not thinking in their right mind.

789
00:40:52,520 --> 00:40:56,000
Speaker 1: Well, she was also recording it, and I don't know where,

790
00:40:56,120 --> 00:40:58,880
Speaker 1: because they're saying she's some kind of influencer, like was

791
00:40:58,920 --> 00:41:00,000
Speaker 1: she doing it for some weeks?

792
00:41:00,000 --> 00:41:00,320
Speaker 2: Weird?

793
00:41:00,920 --> 00:41:05,840
Speaker 1: Like only fans people urinating on people page or something like,

794
00:41:06,040 --> 00:41:07,600
Speaker 1: was she doing it for that reason?

795
00:41:08,080 --> 00:41:09,920
Speaker 2: You know what? I didn't even think about that. And

796
00:41:09,960 --> 00:41:12,960
Speaker 2: that makes sense because typically when we cover stories like this,

797
00:41:13,040 --> 00:41:15,480
Speaker 2: it'll be like these people were doing it for TikTok

798
00:41:15,560 --> 00:41:17,920
Speaker 2: or Instagram and they did not say a platform it

799
00:41:17,960 --> 00:41:20,640
Speaker 2: was being posted on. And when they did the investigation,

800
00:41:20,719 --> 00:41:23,239
Speaker 2: her videos were going back to twenty twenty one. Yeah,

801
00:41:23,239 --> 00:41:24,680
Speaker 2: so she's been doing for a least.

802
00:41:24,760 --> 00:41:28,120
Speaker 1: She's doing it and like people are jerking off to it. Yeah,

803
00:41:28,719 --> 00:41:29,760
Speaker 1: makes its fucking weird.

804
00:41:30,600 --> 00:41:35,040
Speaker 2: Yeah, especially because the terminology was content creator, not influencer,

805
00:41:35,080 --> 00:41:36,880
Speaker 2: which they typically use with people, and.

806
00:41:36,880 --> 00:41:40,399
Speaker 1: They'll typically say the platform too, so they're probably investigating

807
00:41:40,480 --> 00:41:44,560
Speaker 1: still to see like who else is involved in this

808
00:41:44,760 --> 00:41:47,680
Speaker 1: piss ring, you know. Okay, well, this totally makes sense

809
00:41:47,719 --> 00:41:51,440
Speaker 1: that she was doing this for like some weird sexual pleasure, possimly.

810
00:41:51,520 --> 00:41:54,319
Speaker 1: I mean, that's just my our opinion is that that

811
00:41:54,440 --> 00:41:57,600
Speaker 1: was happening. I would say that would yeah, based on

812
00:41:57,640 --> 00:42:00,160
Speaker 1: the terminology and the way the articles written on all

813
00:42:00,160 --> 00:42:01,880
Speaker 1: the different news sites, I would say that it was

814
00:42:01,920 --> 00:42:06,200
Speaker 1: probably the most accurate. Okay, this store is really horrible.

815
00:42:06,280 --> 00:42:08,640
Speaker 1: So last week in West Palm Beach police got a

816
00:42:08,680 --> 00:42:10,880
Speaker 1: call from a local hospital that a nurse had been

817
00:42:10,920 --> 00:42:14,880
Speaker 1: critically injured. So while she was working, this patient suddenly

818
00:42:15,000 --> 00:42:17,600
Speaker 1: jumped on his bed and then jumped on her started

819
00:42:17,600 --> 00:42:21,560
Speaker 1: attacking her, and luckily a witness was nearby to get

820
00:42:21,560 --> 00:42:24,640
Speaker 1: her help quickly, but he really did some damage to

821
00:42:24,680 --> 00:42:25,240
Speaker 1: her face.

822
00:42:26,120 --> 00:42:27,560
Speaker 2: Yeah, this is so scary.

823
00:42:27,600 --> 00:42:30,319
Speaker 1: I mean, we just had a story not even a

824
00:42:30,320 --> 00:42:35,000
Speaker 1: week ago about a patient who was held was holding

825
00:42:35,160 --> 00:42:39,879
Speaker 1: medical staff hostage and shot and injured them, zip tying them,

826
00:42:40,400 --> 00:42:42,680
Speaker 1: killed a police officer at a hospital. And now we're

827
00:42:42,719 --> 00:42:46,600
Speaker 1: hearing this and this store, and it's kind of makes

828
00:42:46,640 --> 00:42:51,600
Speaker 1: you think about how are how are nurses and medical staff,

829
00:42:51,640 --> 00:42:54,439
Speaker 1: anybody working in the hospital being protected where they work.

830
00:42:54,960 --> 00:42:59,240
Speaker 1: It's interesting because I was at a hospital today this morning,

831
00:42:59,440 --> 00:43:01,840
Speaker 1: and when I walked in, I just was kind of

832
00:43:01,880 --> 00:43:04,160
Speaker 1: looking around at the front desk, and I'm like, anybody

833
00:43:04,239 --> 00:43:06,400
Speaker 1: could fucking walk right by here and go up on

834
00:43:06,440 --> 00:43:08,759
Speaker 1: the floors and have access to people. It's just like

835
00:43:09,440 --> 00:43:12,879
Speaker 1: they're not really they're not really checking, especially when it's

836
00:43:12,920 --> 00:43:15,680
Speaker 1: really busy and there's people in and out, and it

837
00:43:15,760 --> 00:43:18,920
Speaker 1: does it's a little bit of a vulnerability for sure.

838
00:43:20,160 --> 00:43:23,520
Speaker 1: In this case, this woman was beaten so bad that

839
00:43:24,200 --> 00:43:28,759
Speaker 1: the trauma physicians are saying that every single bone in

840
00:43:28,800 --> 00:43:31,720
Speaker 1: her face was broken. She might lose her eyes because

841
00:43:31,719 --> 00:43:35,480
Speaker 1: of it. That's how bad she got beaten. And the

842
00:43:35,600 --> 00:43:39,080
Speaker 1: scariest part is is after this patient beat the shit

843
00:43:39,160 --> 00:43:42,880
Speaker 1: out of this nurse, he left the hospital and was arrested,

844
00:43:43,040 --> 00:43:45,120
Speaker 1: like running down the street outside.

845
00:43:46,360 --> 00:43:49,000
Speaker 2: Well, I think this story in particular is really scary

846
00:43:49,040 --> 00:43:51,560
Speaker 2: because unlike the other case. In the other case, a

847
00:43:51,640 --> 00:43:53,879
Speaker 2: guy just kind of walked in there and went into

848
00:43:53,920 --> 00:43:56,120
Speaker 2: the ICU and took those people hostage and shot all

849
00:43:56,160 --> 00:43:58,840
Speaker 2: those people. But in this case, this was a patient

850
00:43:59,000 --> 00:44:01,000
Speaker 2: in the bed and they didn't use a weapon. They

851
00:44:01,000 --> 00:44:03,279
Speaker 2: were using their body, So how are you supposed to

852
00:44:03,280 --> 00:44:03,839
Speaker 2: prevent this?

853
00:44:04,440 --> 00:44:08,640
Speaker 1: Well, so this is digging deeper into this. Her family's

854
00:44:08,840 --> 00:44:12,520
Speaker 1: super pissed off because apparently he is. Yeah, I mean,

855
00:44:12,600 --> 00:44:14,440
Speaker 1: anybody would be pissed off, but when you hear this,

856
00:44:14,520 --> 00:44:18,000
Speaker 1: she'll get more pissed off. So apparently this patient is

857
00:44:18,040 --> 00:44:21,120
Speaker 1: a psychiatric patient who is being held on something called

858
00:44:21,160 --> 00:44:25,160
Speaker 1: a Baker hold, which is an involuntary admission into a

859
00:44:25,200 --> 00:44:28,520
Speaker 1: mental health hospital or program. So you go into the

860
00:44:28,520 --> 00:44:31,840
Speaker 1: hospital and you're having some kind of psychotic episode, perhaps

861
00:44:31,880 --> 00:44:34,319
Speaker 1: like you want to kill your brother and eat his

862
00:44:34,400 --> 00:44:37,400
Speaker 1: eyeballs or something. Right, you go to the hospital and

863
00:44:37,480 --> 00:44:39,479
Speaker 1: if you say you want to leave, they're like, you're

864
00:44:39,480 --> 00:44:43,319
Speaker 1: not leaving. You're too bad, you can't leave. Okay, Well,

865
00:44:44,080 --> 00:44:46,839
Speaker 1: they put him in this hospital that this nurse that

866
00:44:46,880 --> 00:44:49,799
Speaker 1: got beat up was working in, and apparently that hospital

867
00:44:49,920 --> 00:44:52,600
Speaker 1: isn't approved to take patients like that. They don't have

868
00:44:52,680 --> 00:44:56,120
Speaker 1: the training and they don't have this security to deal

869
00:44:56,160 --> 00:45:00,239
Speaker 1: with those patients, so he shouldn't have been there anyway. Yeah,

870
00:45:00,280 --> 00:45:04,279
Speaker 1: and now they're saying that this guy was having delusions

871
00:45:04,320 --> 00:45:06,760
Speaker 1: and the days leading up to the attack and everything,

872
00:45:06,840 --> 00:45:09,560
Speaker 1: So this was like they did not do what they

873
00:45:09,560 --> 00:45:11,480
Speaker 1: should have did to protect her as far as the

874
00:45:11,520 --> 00:45:15,920
Speaker 1: information that's being released right now, and I mean, like,

875
00:45:16,000 --> 00:45:19,280
Speaker 1: what's the difference. Hopefully they could they could do something

876
00:45:19,280 --> 00:45:22,040
Speaker 1: with hospital security, which just needs to be done anyway.

877
00:45:22,080 --> 00:45:25,080
Speaker 1: It's long overdue. This isn't this is certainly not the

878
00:45:25,080 --> 00:45:30,000
Speaker 1: first time this has happened this week, and you can

879
00:45:30,200 --> 00:45:32,440
Speaker 1: It's like you can't one hundred percent prevent all of it,

880
00:45:32,520 --> 00:45:33,600
Speaker 1: but like this is just a.

881
00:45:33,600 --> 00:45:37,560
Speaker 2: No known at this point. It's just really scary.

882
00:45:37,600 --> 00:45:41,080
Speaker 1: I mean, think you can call about your mother or something.

883
00:45:41,120 --> 00:45:44,799
Speaker 2: It's fucking terrible. I just think anymore, just being out

884
00:45:44,800 --> 00:45:46,680
Speaker 2: in public is scary. I mean, we were having a

885
00:45:46,719 --> 00:45:50,160
Speaker 2: situation local to us where this man like locked himself

886
00:45:50,160 --> 00:45:53,120
Speaker 2: in a coffee shop nearby with the only girl working

887
00:45:53,160 --> 00:45:56,960
Speaker 2: in there, and then thankfully another customer came up and

888
00:45:57,080 --> 00:46:00,600
Speaker 2: solemn and you know, interrupted this interaction. But then later

889
00:46:00,680 --> 00:46:03,120
Speaker 2: that day he goes to another local business and stabs

890
00:46:03,160 --> 00:46:06,240
Speaker 2: a random person. It's just so scary.

891
00:46:06,080 --> 00:46:08,399
Speaker 1: It is, and you just hear, I mean, you hear

892
00:46:08,440 --> 00:46:10,120
Speaker 1: the most of it. In New York, I feel that

893
00:46:10,360 --> 00:46:12,799
Speaker 1: you know, a random person punching someone in the face

894
00:46:12,880 --> 00:46:15,799
Speaker 1: or pushing them on the train platform or things like that.

895
00:46:15,880 --> 00:46:19,640
Speaker 1: It just didn't like a little like teenage girl get

896
00:46:19,680 --> 00:46:23,359
Speaker 1: stabbed in Grand Central station a couple of months ago

897
00:46:23,440 --> 00:46:23,839
Speaker 1: or a year.

898
00:46:23,760 --> 00:46:24,279
Speaker 2: Ago, whatever.

899
00:46:24,400 --> 00:46:28,640
Speaker 1: Like it's just it's really scary because sometimes you see

900
00:46:28,640 --> 00:46:31,160
Speaker 1: people walking on the street and they're talking to themselves

901
00:46:31,200 --> 00:46:32,160
Speaker 1: and stuff, and you're like.

902
00:46:32,080 --> 00:46:34,520
Speaker 2: I'm gonna go on the other side of the street, right,

903
00:46:34,920 --> 00:46:39,000
Speaker 2: But sometimes because you are the asshole if you want

904
00:46:39,040 --> 00:46:41,560
Speaker 2: to put yourself in safety, if somebody seems like they're

905
00:46:41,560 --> 00:46:44,040
Speaker 2: not acting in the right mind, because we shouldn't be

906
00:46:44,120 --> 00:46:47,240
Speaker 2: judging other people like that when I think sometimes somebody's

907
00:46:47,320 --> 00:46:51,319
Speaker 2: acting so fucking crazy that it's okay to cross the street, right,

908
00:46:52,200 --> 00:46:53,600
Speaker 2: I don't know. Okay.

909
00:46:54,320 --> 00:46:57,319
Speaker 1: Other death news, this is a good one, all right.

910
00:46:57,360 --> 00:46:59,960
Speaker 2: So this couple from Australia was headed for an attack

911
00:47:00,400 --> 00:47:03,360
Speaker 2: vacation and while they were midflight, a woman that was

912
00:47:03,440 --> 00:47:06,319
Speaker 2: on the plane collapsed and died and then they had

913
00:47:06,320 --> 00:47:08,560
Speaker 2: to sit next to her for the remainder of the flight.

914
00:47:09,680 --> 00:47:15,160
Speaker 1: So I understand that this is not ideal, but you're

915
00:47:15,200 --> 00:47:19,360
Speaker 1: on an airplane. They were going from Melbourne, Australia to Venice. Okay,

916
00:47:19,840 --> 00:47:23,279
Speaker 1: so you're on an airplane you could possibly be over

917
00:47:23,320 --> 00:47:25,600
Speaker 1: the ocean, or you're just on a really long flight.

918
00:47:26,760 --> 00:47:31,560
Speaker 1: What are What does everybody want the crew on the

919
00:47:31,680 --> 00:47:33,800
Speaker 1: airplane to do with the dead person?

920
00:47:34,040 --> 00:47:36,600
Speaker 2: No, I think the problem in this case was they

921
00:47:36,640 --> 00:47:39,160
Speaker 2: were so this dead woman is sitting in the aisle seat,

922
00:47:39,160 --> 00:47:41,080
Speaker 2: and then this married couple is in the middle seat

923
00:47:41,080 --> 00:47:43,640
Speaker 2: in the window seat. And I think the problem people

924
00:47:43,680 --> 00:47:47,000
Speaker 2: have with the story is that there were open seats

925
00:47:47,120 --> 00:47:50,279
Speaker 2: elsewhere on the aircraft and the staff would not let

926
00:47:50,360 --> 00:47:54,719
Speaker 2: them move. Why would they not be allowed to relocate?

927
00:47:56,400 --> 00:48:00,800
Speaker 2: I don't know, because that I don't work on a plane.

928
00:48:00,840 --> 00:48:03,399
Speaker 1: I also just think like it's just not that big

929
00:48:03,440 --> 00:48:05,200
Speaker 1: of a deal, like, well, I don't know.

930
00:48:05,520 --> 00:48:09,719
Speaker 2: According to TMZ, and according to the International Air Transport Association,

931
00:48:09,880 --> 00:48:12,080
Speaker 2: it is ceased person should be placed in a seat

932
00:48:12,200 --> 00:48:15,920
Speaker 2: quote with few other passengers nearby, and covered with a

933
00:48:15,960 --> 00:48:18,399
Speaker 2: bag or a blanket. So when this woman died, they

934
00:48:18,440 --> 00:48:21,680
Speaker 2: did cover her body with a blanket, but because of

935
00:48:21,719 --> 00:48:24,000
Speaker 2: the motion of the plane, the blanket kept slipping off,

936
00:48:24,040 --> 00:48:27,279
Speaker 2: exposing her face to the man next to her. And

937
00:48:27,320 --> 00:48:30,080
Speaker 2: then they had asked to be moved in different seats,

938
00:48:30,080 --> 00:48:33,040
Speaker 2: and allegedly the flight attendant said they could not, even

939
00:48:33,080 --> 00:48:35,960
Speaker 2: though there was other open seats elsewhere on the aircraft.

940
00:48:36,160 --> 00:48:38,120
Speaker 2: So I think that is the issue most people are

941
00:48:38,160 --> 00:48:41,080
Speaker 2: having with this, that there was room. It wasn't like

942
00:48:41,120 --> 00:48:44,399
Speaker 2: it was a completely packed flight. There was a room,

943
00:48:44,400 --> 00:48:45,960
Speaker 2: and they would not listen. It's weird.

944
00:48:46,160 --> 00:48:49,000
Speaker 1: It's just like I just don't like the guys, like

945
00:48:49,360 --> 00:48:52,560
Speaker 1: we were traumatized over and over again, like come on.

946
00:48:52,600 --> 00:48:55,600
Speaker 2: Like, well, I think he was traumatized over and over

947
00:48:55,600 --> 00:48:58,400
Speaker 2: again when her face kept sliding out of this sheet,

948
00:48:58,880 --> 00:48:59,880
Speaker 2: like it's all I pitch you.

949
00:49:01,239 --> 00:49:03,759
Speaker 1: You know in Goonies when when like Chunk goes in

950
00:49:03,800 --> 00:49:05,960
Speaker 1: the fridge and he turns the guy around and he's

951
00:49:06,000 --> 00:49:08,520
Speaker 1: like he's like all dead standing there.

952
00:49:08,719 --> 00:49:10,880
Speaker 2: It's just that's it.

953
00:49:11,520 --> 00:49:14,759
Speaker 1: You know, you're sitting there and this person's going through everything,

954
00:49:14,840 --> 00:49:17,080
Speaker 1: rigor mortis everything while they're sitting next to you on

955
00:49:17,120 --> 00:49:20,759
Speaker 1: the plane all stiff, like the sheet coming over and

956
00:49:20,840 --> 00:49:22,359
Speaker 1: just looking at you with their dead eyes.

957
00:49:22,440 --> 00:49:26,239
Speaker 2: I don't know, it's just like it's just listen. If

958
00:49:26,239 --> 00:49:30,080
Speaker 2: this has a deal, like it would be something to

959
00:49:30,160 --> 00:49:33,719
Speaker 2: talk about, but it's not like ruining your vacation. Come on,

960
00:49:34,160 --> 00:49:35,879
Speaker 2: But if this happened to me and there was other

961
00:49:35,960 --> 00:49:39,120
Speaker 2: seats open that I could see, Fuck the flight attendants,

962
00:49:39,200 --> 00:49:41,040
Speaker 2: just get up and go to them. Yeah, I mean that.

963
00:49:41,200 --> 00:49:42,520
Speaker 2: I literally was thinking that.

964
00:49:42,680 --> 00:49:44,680
Speaker 1: I was just like, why did they listen like I

965
00:49:44,880 --> 00:49:46,719
Speaker 1: I would have been like, no, I'm gonna go up,

966
00:49:46,800 --> 00:49:49,080
Speaker 1: get up to pee, and then I'm sitting over there.

967
00:49:49,239 --> 00:49:52,640
Speaker 1: And if you have a problem with it, then oh well,

968
00:49:53,440 --> 00:49:56,040
Speaker 1: I mean you don't really you don't really want to

969
00:49:56,080 --> 00:49:58,560
Speaker 1: start a fight with a flight attendant because then all

970
00:49:58,600 --> 00:50:01,479
Speaker 1: of a sudden, it's gonna be like an issue with you.

971
00:50:02,200 --> 00:50:05,479
Speaker 1: And I think every person in the world would understand, like, hey,

972
00:50:05,840 --> 00:50:07,799
Speaker 1: there's like a dead person next to me. I just

973
00:50:07,840 --> 00:50:11,920
Speaker 1: wanted to move over there with a live person. But

974
00:50:13,200 --> 00:50:17,960
Speaker 1: there might be reasons because I was trying to tell

975
00:50:18,000 --> 00:50:21,560
Speaker 1: the kids this too. When you go on the airplane,

976
00:50:21,640 --> 00:50:23,560
Speaker 1: they like you to sit in the seat that you're

977
00:50:23,560 --> 00:50:26,640
Speaker 1: assigned to because your name is associated with that seat.

978
00:50:26,680 --> 00:50:28,719
Speaker 1: I guess in case there's an issue. They don't like

979
00:50:29,280 --> 00:50:33,600
Speaker 1: people not sitting where they're supposed to be sitting, you know,

980
00:50:33,760 --> 00:50:37,160
Speaker 1: like you're supposed to be in seat twenty eight.

981
00:50:37,320 --> 00:50:40,759
Speaker 2: This is an emergency. I'm sorry, this is my proposal.

982
00:50:40,840 --> 00:50:43,840
Speaker 2: It's just a dead person. Don't they have access to

983
00:50:43,920 --> 00:50:48,560
Speaker 2: the underneath where the luggages. No, I don't think so, Okay,

984
00:50:48,640 --> 00:50:50,520
Speaker 2: if they did this was my They shouldn't make what

985
00:50:50,560 --> 00:50:54,440
Speaker 2: they should make like a slide. They should put in

986
00:50:54,600 --> 00:50:57,920
Speaker 2: slide so they can put the person down there and

987
00:50:57,960 --> 00:51:00,160
Speaker 2: then just have them down there until they get to

988
00:51:00,239 --> 00:51:02,479
Speaker 2: the destination. Yeah, it would solve a lot of fraud.

989
00:51:02,560 --> 00:51:04,560
Speaker 2: It would solve all the problems. But I guess then

990
00:51:04,560 --> 00:51:05,040
Speaker 2: you have others.

991
00:51:05,440 --> 00:51:08,360
Speaker 1: They could put a trapdoor in like underneath of the carpet,

992
00:51:09,239 --> 00:51:11,759
Speaker 1: because really, if they go down the trap door and

993
00:51:11,840 --> 00:51:14,400
Speaker 1: they hurt themselves, like, they're already dead, so it's not

994
00:51:14,440 --> 00:51:15,239
Speaker 1: that big of a deal.

995
00:51:16,520 --> 00:51:18,560
Speaker 2: I mean, people are probably really not gonna be for

996
00:51:18,640 --> 00:51:20,200
Speaker 2: that idea. But it's like, do you want to sit

997
00:51:20,239 --> 00:51:22,600
Speaker 2: next to a dead person for a multi hour flight

998
00:51:23,320 --> 00:51:25,279
Speaker 2: or would you rather them go down the little shoe

999
00:51:25,360 --> 00:51:25,879
Speaker 2: and be in mine?

1000
00:51:25,880 --> 00:51:28,120
Speaker 1: I would have been taken selfies with the dead lady.

1001
00:51:28,560 --> 00:51:31,839
Speaker 2: Well, you're a free so of course would listen. It's

1002
00:51:31,880 --> 00:51:34,440
Speaker 2: not my, it's not it's not like it's their grandmom.

1003
00:51:34,640 --> 00:51:37,840
Speaker 2: They don't know who it is who cares. All right, whatever,

1004
00:51:38,000 --> 00:51:40,440
Speaker 2: let's move on a question of the day. Every Friday

1005
00:51:40,440 --> 00:51:42,680
Speaker 2: at the at mother knows death Instagram account, You guys

1006
00:51:42,719 --> 00:51:45,040
Speaker 2: can head to our story and ask us whatever questions

1007
00:51:45,080 --> 00:51:49,320
Speaker 2: you want. First, once my friend told me her father

1008
00:51:49,480 --> 00:51:52,040
Speaker 2: was so constipated that he pooped out of his mouth.

1009
00:51:52,120 --> 00:51:52,920
Speaker 2: Can this happen?

1010
00:51:53,320 --> 00:51:58,160
Speaker 1: Oh my god, No, No, not really.

1011
00:51:58,360 --> 00:52:00,960
Speaker 2: I mean it's not really in theory.

1012
00:52:02,000 --> 00:52:08,760
Speaker 1: If you are so constipated, you could start regurgitating maybe

1013
00:52:08,800 --> 00:52:12,000
Speaker 1: some small bow contents up there a little bit like

1014
00:52:12,120 --> 00:52:12,920
Speaker 1: you're not having.

1015
00:52:13,360 --> 00:52:16,600
Speaker 2: It could be like early stages of poop. It's not

1016
00:52:16,640 --> 00:52:17,080
Speaker 2: going to.

1017
00:52:17,040 --> 00:52:18,839
Speaker 1: Be like a full turd coming out of your mouth.

1018
00:52:18,880 --> 00:52:20,120
Speaker 1: It's that's not happening.

1019
00:52:21,239 --> 00:52:23,000
Speaker 2: That's so ridiculous.

1020
00:52:22,800 --> 00:52:25,279
Speaker 1: It's you know, like I'm trying to think of any

1021
00:52:25,400 --> 00:52:28,560
Speaker 1: kind of scenario that would even be able to happen,

1022
00:52:28,560 --> 00:52:30,759
Speaker 1: and I just don't think so. Like one time I

1023
00:52:30,880 --> 00:52:33,600
Speaker 1: opened someone's chest cavity and there was poop in their

1024
00:52:33,680 --> 00:52:35,680
Speaker 1: chest cavity, But then it was like they ended up

1025
00:52:35,719 --> 00:52:40,120
Speaker 1: having some crazy hernia that went up into their chest

1026
00:52:40,160 --> 00:52:43,000
Speaker 1: and perporated, and it wasn't even really again, it wasn't

1027
00:52:43,000 --> 00:52:46,000
Speaker 1: like turd poop. It was like it was like small

1028
00:52:46,000 --> 00:52:49,879
Speaker 1: bell poop. So and that's the chest that wasn't even

1029
00:52:49,880 --> 00:52:52,600
Speaker 1: out of the mouth. Like I just I don't. Her

1030
00:52:52,640 --> 00:52:54,800
Speaker 1: friend told her this, that this happened.

1031
00:52:55,080 --> 00:52:57,799
Speaker 2: Yeah, she said, my friend told me her father was

1032
00:52:57,840 --> 00:53:01,759
Speaker 2: so constipated he pooped out of his mouth. No, all

1033
00:53:01,840 --> 00:53:04,799
Speaker 2: right too. Is there a reason to shave someone's head

1034
00:53:04,880 --> 00:53:05,920
Speaker 2: during an autopsy.

1035
00:53:07,120 --> 00:53:11,239
Speaker 1: No, There's been a couple times that I've had to

1036
00:53:11,280 --> 00:53:14,720
Speaker 1: cut a little bit of people's hair if they really

1037
00:53:14,760 --> 00:53:18,920
Speaker 1: want a brain removal. So in normal cases, if you

1038
00:53:18,960 --> 00:53:21,680
Speaker 1: have hair, like if you're looking at Maria right now,

1039
00:53:21,800 --> 00:53:24,200
Speaker 1: hair that's just like very easy to brush and stuff,

1040
00:53:24,239 --> 00:53:26,160
Speaker 1: I would just get a comb. I kept a comb

1041
00:53:26,200 --> 00:53:28,640
Speaker 1: in the morgue, and I would make the part where

1042
00:53:28,680 --> 00:53:30,400
Speaker 1: I need to make the incision. So then when I

1043
00:53:30,440 --> 00:53:33,839
Speaker 1: make the decision, the incision along the part, it really

1044
00:53:33,880 --> 00:53:35,920
Speaker 1: only cuts a few pieces.

1045
00:53:35,400 --> 00:53:36,560
Speaker 2: Of hair going through.

1046
00:53:37,560 --> 00:53:42,680
Speaker 1: But there's been times where, one particular time, like I

1047
00:53:42,800 --> 00:53:45,280
Speaker 1: had a woman with two to a woman with dreadlocks,

1048
00:53:45,280 --> 00:53:48,440
Speaker 1: and a woman with braids that we're all tied up

1049
00:53:48,480 --> 00:53:50,480
Speaker 1: in a certain kind of way that I was like,

1050
00:53:50,719 --> 00:53:52,560
Speaker 1: there's not going to be a way for me to

1051
00:53:52,680 --> 00:53:56,560
Speaker 1: do this incision without cutting some of these pieces off.

1052
00:53:57,200 --> 00:53:58,560
Speaker 2: And in that.

1053
00:53:58,480 --> 00:54:01,000
Speaker 1: Circumstance, if it's a few is a hair that could

1054
00:54:01,080 --> 00:54:03,799
Speaker 1: just be covered with a part or something. I don't

1055
00:54:03,880 --> 00:54:06,040
Speaker 1: feel bad about that. But like now, if we're talking

1056
00:54:06,040 --> 00:54:09,160
Speaker 1: about cutting out like multiple braids or dreadlocks out of

1057
00:54:09,160 --> 00:54:11,960
Speaker 1: someone's hair, I would just like I called the funeral

1058
00:54:12,000 --> 00:54:14,560
Speaker 1: director and just said, hey, I have to take out

1059
00:54:14,560 --> 00:54:17,359
Speaker 1: the brain. Is this okay? Because it's the only way

1060
00:54:17,400 --> 00:54:19,320
Speaker 1: that I could get out the brain. So either decide

1061
00:54:19,320 --> 00:54:20,840
Speaker 1: that you don't want me to take out the brain,

1062
00:54:21,000 --> 00:54:23,640
Speaker 1: or let me cut the hair, like give them that

1063
00:54:23,719 --> 00:54:27,160
Speaker 1: option just because I don't want to do it, and

1064
00:54:27,200 --> 00:54:29,080
Speaker 1: then send the body over to the funeral home and

1065
00:54:29,440 --> 00:54:32,680
Speaker 1: have the family freak out right, and they would have

1066
00:54:32,719 --> 00:54:36,080
Speaker 1: a right to over that. So but to shave, it's

1067
00:54:36,160 --> 00:54:38,680
Speaker 1: there's just no reason, like use a scalpel blade that's

1068
00:54:38,800 --> 00:54:41,239
Speaker 1: very thin, that could fit on any part of the hair.

1069
00:54:41,320 --> 00:54:45,279
Speaker 1: It's just unless there's been time like one time I

1070
00:54:45,320 --> 00:54:48,000
Speaker 1: had a patient that had very matted hair that hadn't

1071
00:54:48,000 --> 00:54:50,120
Speaker 1: been brushed in months. It was like that big ball

1072
00:54:50,160 --> 00:54:52,840
Speaker 1: of matte hair, and in that case I would have

1073
00:54:52,840 --> 00:54:53,879
Speaker 1: had to cut it off.

1074
00:54:53,960 --> 00:54:54,799
Speaker 2: But that in that.

1075
00:54:54,800 --> 00:54:57,600
Speaker 1: Particular case, I wasn't taking out the brain, so I

1076
00:54:57,640 --> 00:55:01,359
Speaker 1: could see maybe in some extenuay circumstances.

1077
00:55:01,640 --> 00:55:04,400
Speaker 2: What about in a case like Ellen Greenberg, for example,

1078
00:55:04,440 --> 00:55:06,480
Speaker 2: when she has a bunch of stab wounds.

1079
00:55:06,120 --> 00:55:08,520
Speaker 1: On her head, Well, I guess yeah, And like if

1080
00:55:08,520 --> 00:55:13,760
Speaker 1: you're talking about just brain removal, then then yet for sure,

1081
00:55:13,800 --> 00:55:16,120
Speaker 1: like if you're trying to look at a wound, yeah,

1082
00:55:16,200 --> 00:55:19,040
Speaker 1: you would do that just if it was a case

1083
00:55:19,080 --> 00:55:23,680
Speaker 1: that wasn't clear cut. I'm pretty sure that they did

1084
00:55:23,719 --> 00:55:26,600
Speaker 1: in her case, that they would cut around the wounds

1085
00:55:26,640 --> 00:55:31,520
Speaker 1: and stuff like that. But I don't in a regular autopsy,

1086
00:55:31,560 --> 00:55:33,319
Speaker 1: there would never be a reason to do that.

1087
00:55:34,200 --> 00:55:36,640
Speaker 2: Like now that we're thinking about this, like when Teddy

1088
00:55:36,680 --> 00:55:39,160
Speaker 2: Mellencamp just got those tumors removed, Like why do they

1089
00:55:39,239 --> 00:55:40,880
Speaker 2: have to shave her whole head?

1090
00:55:41,239 --> 00:55:45,160
Speaker 1: Well, you have a different situation now with surgery, because

1091
00:55:45,239 --> 00:55:47,719
Speaker 1: surgery is a sterile environment and you want to have

1092
00:55:48,000 --> 00:55:51,399
Speaker 1: like hair could just grab bacteria, and you just don't

1093
00:55:51,440 --> 00:55:53,719
Speaker 1: want any kind of dirt or anything in the in

1094
00:55:53,760 --> 00:55:56,320
Speaker 1: the surgical field as much as possible. So that's why

1095
00:55:56,960 --> 00:55:59,759
Speaker 1: they do that in that situation. But like for autopsy,

1096
00:55:59,800 --> 00:56:01,719
Speaker 1: it's like who care, they're dead, They're not going to

1097
00:56:01,760 --> 00:56:03,919
Speaker 1: get a bacterial infection in their brain. Like the last

1098
00:56:03,960 --> 00:56:06,359
Speaker 1: thing you want is to introduce bacteria into someone's brain.

1099
00:56:06,960 --> 00:56:10,120
Speaker 1: Did you say she ended up getting four tumors. Yes,

1100
00:56:10,160 --> 00:56:13,320
Speaker 1: and the imaging is crazy, the one to see the imaging,

1101
00:56:13,640 --> 00:56:15,800
Speaker 1: the one is so big. I'm just like, I feel

1102
00:56:15,920 --> 00:56:17,560
Speaker 1: terrible to look at that.

1103
00:56:17,719 --> 00:56:21,160
Speaker 2: It's just so it's just not good. All right. Last

1104
00:56:21,239 --> 00:56:24,040
Speaker 2: question is Maria, how was it growing up telling your

1105
00:56:24,040 --> 00:56:28,239
Speaker 2: friends your mom did autopsies. Well, you started doing autopsies

1106
00:56:28,239 --> 00:56:30,880
Speaker 2: when I was a teenager, so I feel like, in general,

1107
00:56:30,920 --> 00:56:32,680
Speaker 2: it was pretty hard for people to get over the

1108
00:56:32,680 --> 00:56:34,480
Speaker 2: fact that I was in high school and had a

1109
00:56:34,520 --> 00:56:38,840
Speaker 2: parent in in her twenties, so that was like first obstacle.

1110
00:56:40,360 --> 00:56:42,680
Speaker 2: I mean, people thought it was cool. I mean people

1111
00:56:42,719 --> 00:56:45,279
Speaker 2: still think it's cool when they asked me what you do,

1112
00:56:45,640 --> 00:56:48,680
Speaker 2: and they think it's really interesting, especially because like you're

1113
00:56:48,719 --> 00:56:50,920
Speaker 2: a young, pretty lady that wants to do it, not

1114
00:56:51,120 --> 00:56:53,960
Speaker 2: just like you know. I feel like a lot of times,

1115
00:56:54,040 --> 00:56:54,439
Speaker 2: well it.

1116
00:56:54,360 --> 00:56:56,600
Speaker 1: Was cool too, because we were talking at Emma last

1117
00:56:56,680 --> 00:56:58,800
Speaker 1: night at dinner. Like I said, she was our grocer

1118
00:56:58,880 --> 00:57:01,840
Speaker 1: and winter for the dinner, and her dad was a toxicologist,

1119
00:57:02,160 --> 00:57:04,799
Speaker 1: so she was telling us crazy stories about when she

1120
00:57:04,960 --> 00:57:07,959
Speaker 1: was growing up, about the different cases he would work

1121
00:57:08,000 --> 00:57:11,439
Speaker 1: on and interesting things like that. So for us it's

1122
00:57:11,520 --> 00:57:14,959
Speaker 1: like and even before I started doing autopsy, I worked

1123
00:57:14,960 --> 00:57:18,360
Speaker 1: in pathology and scientology for several years before that too,

1124
00:57:18,440 --> 00:57:21,200
Speaker 1: so Maria's been and then I went to school for

1125
00:57:21,280 --> 00:57:25,000
Speaker 1: that and Maria was like in second grade, like when

1126
00:57:25,040 --> 00:57:27,400
Speaker 1: I was looking at slides under the microscope and stuff.

1127
00:57:27,440 --> 00:57:29,360
Speaker 1: So she's been in that world for a long time.

1128
00:57:29,440 --> 00:57:34,800
Speaker 2: It's just kind of like normal for us. Yeah.

1129
00:57:34,840 --> 00:57:38,200
Speaker 1: I mean, like, I don't know if it's weird, right.

1130
00:57:39,480 --> 00:57:42,000
Speaker 2: I just think with you know, at the time you

1131
00:57:42,080 --> 00:57:44,920
Speaker 2: started doing it, you know, NCIS was huge, and there

1132
00:57:45,000 --> 00:57:47,480
Speaker 2: was that girl that kind of looked like you. So everybody,

1133
00:57:47,560 --> 00:57:50,960
Speaker 2: I feel like, understood more because there was a pop

1134
00:57:51,000 --> 00:57:54,400
Speaker 2: culture relevant or pop culture reference to go hand in

1135
00:57:54,440 --> 00:57:57,360
Speaker 2: hand with it. Yeah, but otherwise I don't think people

1136
00:57:57,440 --> 00:57:59,800
Speaker 2: really would have gotten it. And again, that show was

1137
00:57:59,840 --> 00:58:01,960
Speaker 2: not really that accurate to what you were doing in

1138
00:58:02,000 --> 00:58:04,480
Speaker 2: real life, No, not even a little bit. It placed

1139
00:58:04,920 --> 00:58:09,520
Speaker 2: a young, beautiful woman with dark, long hair in a lab,

1140
00:58:09,680 --> 00:58:12,760
Speaker 2: and I think people started understanding more with that. Yeah.

1141
00:58:12,840 --> 00:58:17,320
Speaker 1: Remember that one that one someone wrote an article about

1142
00:58:17,320 --> 00:58:20,600
Speaker 1: me called the Real Abby from NCIS or something like that.

1143
00:58:20,600 --> 00:58:22,520
Speaker 1: That was like really long time. That was a really

1144
00:58:22,560 --> 00:58:25,720
Speaker 1: long time ago. I know, Yeah, I got into it

1145
00:58:25,760 --> 00:58:28,960
Speaker 1: a little bit before I guess there. I mean, there's

1146
00:58:28,960 --> 00:58:32,720
Speaker 1: always been true crime stuff on TV, like there was

1147
00:58:32,800 --> 00:58:34,920
Speaker 1: like Quincy and stuff, but there wasn't a ton of

1148
00:58:34,960 --> 00:58:38,200
Speaker 1: shows on back then besides like that show I guess

1149
00:58:38,240 --> 00:58:40,160
Speaker 1: and those types of things.

1150
00:58:40,160 --> 00:58:43,800
Speaker 2: But yeah, that and CSI right, and those.

1151
00:58:43,600 --> 00:58:45,440
Speaker 1: Shows are absolutely terrible.

1152
00:58:45,480 --> 00:58:46,960
Speaker 2: They're the worst shows.

1153
00:58:47,880 --> 00:58:49,960
Speaker 1: Mom and pop up used to watch them all the time.

1154
00:58:50,000 --> 00:58:53,000
Speaker 1: And I would come home from school or just go,

1155
00:58:53,240 --> 00:58:55,120
Speaker 1: you know, and I would just be like, like, what

1156
00:58:55,320 --> 00:58:57,320
Speaker 1: are you watching right now? And I'd watch it. I

1157
00:58:57,320 --> 00:58:59,560
Speaker 1: get so pissed off. I'd be like, yeah, Okay, that's

1158
00:58:59,600 --> 00:59:02,400
Speaker 1: what happened. Oh that's what the Medical Examiner looks like.

1159
00:59:03,160 --> 00:59:05,400
Speaker 2: Well they really think it does. And they think it's

1160
00:59:05,400 --> 00:59:07,560
Speaker 2: that easy that you could get DNA and tox to

1161
00:59:07,680 --> 00:59:10,920
Speaker 2: college year results in like, you know, forty five minutes,

1162
00:59:11,000 --> 00:59:11,920
Speaker 2: which is just like.

1163
00:59:12,280 --> 00:59:15,080
Speaker 1: There was this show on one time. I think it

1164
00:59:15,160 --> 00:59:18,000
Speaker 1: was called Crossing Jordan or something like that, or maybe

1165
00:59:18,040 --> 00:59:19,920
Speaker 1: it wasn't, I don't remember, but there was like a

1166
00:59:19,960 --> 00:59:23,040
Speaker 1: woman's a very beautiful woman who was playing like the

1167
00:59:23,080 --> 00:59:27,320
Speaker 1: Philadelphia Medical Examiner, and they so not only that compared

1168
00:59:27,360 --> 00:59:29,720
Speaker 1: to the guy who was actually the chief at the time,

1169
00:59:29,760 --> 00:59:35,120
Speaker 1: which was like gross. But then number two, the morgue

1170
00:59:35,480 --> 00:59:38,400
Speaker 1: it they wanted. They got a new one in Philadelphia now,

1171
00:59:38,400 --> 00:59:40,080
Speaker 1: but at the time when I was there, it was

1172
00:59:40,120 --> 00:59:42,760
Speaker 1: like it was like seventies as shit with the wood

1173
00:59:42,800 --> 00:59:43,880
Speaker 1: paneling and everything.

1174
00:59:44,120 --> 00:59:45,960
Speaker 2: Yeah, and their morgue, and this show was.

1175
00:59:45,920 --> 00:59:49,080
Speaker 1: Like all stainless steel and beautiful with like all of

1176
00:59:49,080 --> 00:59:51,920
Speaker 1: the latest souls and everything, and You're just like, Okay,

1177
00:59:51,960 --> 00:59:53,880
Speaker 1: this is nothing what this looks like at all?

1178
00:59:54,360 --> 00:59:57,720
Speaker 2: Yeah, exactly. All right, Well, thank you guys so much.

1179
00:59:57,720 --> 00:59:59,680
Speaker 2: If you have a shocking story, please submit it to the

1180
00:59:59,720 --> 01:00:02,840
Speaker 2: story at Mothernosdeath dot com or shoot us a message

1181
01:00:02,840 --> 01:00:05,959
Speaker 2: on Instagram and don't forget to leave us a five

1182
01:00:06,040 --> 01:00:08,000
Speaker 2: star written review on Apple.

1183
01:00:11,160 --> 01:00:15,000
Speaker 1: Thank you for listening to Mother Knows Death. As a reminder,

1184
01:00:15,200 --> 01:00:19,000
Speaker 1: my training is as a pathologist's assistant. I have a

1185
01:00:19,000 --> 01:00:23,360
Speaker 1: master's level education and specialize in anatomy and pathology education.

1186
01:00:24,480 --> 01:00:26,640
Speaker 1: I am not a doctor, and I have not diagnosed

1187
01:00:26,760 --> 01:00:30,400
Speaker 1: or treated anyone dead or alive without the assistance of

1188
01:00:30,440 --> 01:00:35,640
Speaker 1: a licensed medical doctor. This show, my website, and social

1189
01:00:35,680 --> 01:00:39,200
Speaker 1: media accounts are designed to educate and inform people based

1190
01:00:39,240 --> 01:00:43,160
Speaker 1: on my experience working in pathology, so they can make

1191
01:00:43,360 --> 01:00:48,040
Speaker 1: healthier decisions regarding their life and well being. Always remember

1192
01:00:48,040 --> 01:00:51,160
Speaker 1: that science is changing every day, and the opinions expressed

1193
01:00:51,200 --> 01:00:53,840
Speaker 1: in this episode are based on my knowledge of those

1194
01:00:53,880 --> 01:00:57,680
Speaker 1: subjects at the time of publication. If you are having

1195
01:00:57,720 --> 01:01:01,680
Speaker 1: a medical problem, have a medical question, or having a

1196
01:01:01,720 --> 01:01:06,040
Speaker 1: medical emergency, please contact your physician or visit an urgent

1197
01:01:06,080 --> 01:01:08,200
Speaker 1: care center, emergency room.

1198
01:01:08,240 --> 01:01:09,000
Speaker 2: Or hospital.

1199
01:01:09,680 --> 01:01:15,320
Speaker 1: Please rate, review, and subscribe to Mother Knows Death on Apple, Spotify, YouTube,

1200
01:01:15,600 --> 01:01:17,320
Speaker 1: or anywhere you get podcasts.

1201
01:01:17,680 --> 01:01:23,600
Speaker 2: Thanks