1
00:00:08,039 --> 00:00:14,080
Speaker 1: Mother Knows Dad starring Nicole and Jemmy and Maria qk.

2
00:00:20,880 --> 00:00:23,639
Speaker 2: Hi. Everyone welcome The Mother Knows Death. On today's episode,

3
00:00:23,680 --> 00:00:26,160
Speaker 2: we're going to talk about Elizabeth Holmes and her former

4
00:00:26,280 --> 00:00:30,159
Speaker 2: blood testing company called Therahnose, and her latest attempt to

5
00:00:30,160 --> 00:00:33,080
Speaker 2: get out of prison. A therapist who was killed by

6
00:00:33,120 --> 00:00:36,760
Speaker 2: her patient, a video that's gone viral online showing a

7
00:00:36,800 --> 00:00:39,839
Speaker 2: new mom gently slapping her mom away from her baby

8
00:00:39,880 --> 00:00:43,360
Speaker 2: as she tries to kiss her own grandchild, a teen

9
00:00:43,479 --> 00:00:47,720
Speaker 2: who is now paralyzed after having symptoms that were initially

10
00:00:47,760 --> 00:00:50,680
Speaker 2: dismissed as period pain. And a woman who slept in

11
00:00:50,680 --> 00:00:53,440
Speaker 2: a cemetery with her dead husband. All that in moral

12
00:00:53,520 --> 00:00:57,160
Speaker 2: today's episode, Let's get started with Elizabeth Holmes and Therahnos.

13
00:00:57,800 --> 00:00:58,400
Speaker 3: All right, so.

14
00:00:58,480 --> 00:01:03,560
Speaker 1: Elizabeth Holmes, aka the founder of the disgraced blood testing startup.

15
00:01:03,680 --> 00:01:07,200
Speaker 1: Their news is asking the President to commute her sentence.

16
00:01:08,080 --> 00:01:09,360
Speaker 3: Yeah, no, yea.

17
00:01:09,959 --> 00:01:12,360
Speaker 1: Why do you think you deserve to get out?

18
00:01:13,040 --> 00:01:13,320
Speaker 3: Yeah?

19
00:01:14,040 --> 00:01:16,839
Speaker 2: So, why don't you just briefly because we really wrote

20
00:01:16,920 --> 00:01:21,520
Speaker 2: about this in the gross Room this week, about every

21
00:01:21,640 --> 00:01:25,400
Speaker 2: detail of the case and how exactly they were allowed

22
00:01:25,400 --> 00:01:27,720
Speaker 2: to get away with it. I didn't really keep up

23
00:01:27,760 --> 00:01:32,160
Speaker 2: on the case and I remember Maria started. Maria was like,

24
00:01:32,520 --> 00:01:35,480
Speaker 2: like all into this kind of stuff, and when she

25
00:01:35,600 --> 00:01:38,920
Speaker 2: told me a little bit about it, I mean, and

26
00:01:39,120 --> 00:01:42,040
Speaker 2: just you should really say how you briefly said it,

27
00:01:42,080 --> 00:01:45,679
Speaker 2: because you just had said to me. She started some

28
00:01:45,800 --> 00:01:51,240
Speaker 2: technology that she could test blood with a fingerprick instead

29
00:01:51,240 --> 00:01:54,240
Speaker 2: of having to get a vena punctured donner getting the

30
00:01:54,320 --> 00:01:58,240
Speaker 2: beedle in your vein, and she was able to do

31
00:01:58,280 --> 00:02:01,120
Speaker 2: all these tests off of it that you could normally

32
00:02:01,200 --> 00:02:04,560
Speaker 2: do on normal venus blood. And my first question to

33
00:02:04,600 --> 00:02:06,880
Speaker 2: her was like, well, how how is that possible? Like

34
00:02:06,920 --> 00:02:09,560
Speaker 2: you don't get enough volume and the blood is different.

35
00:02:09,639 --> 00:02:12,000
Speaker 2: And Emory was like, I don't know, but like they

36
00:02:12,080 --> 00:02:14,040
Speaker 2: used to do it at Walt Greens and stuff. And

37
00:02:14,080 --> 00:02:17,280
Speaker 2: I was like what and and and the whole thing

38
00:02:17,360 --> 00:02:20,559
Speaker 2: was like faked and and and they made up the technology.

39
00:02:21,000 --> 00:02:23,760
Speaker 2: And I almost didn't believe her because I thought, like,

40
00:02:24,680 --> 00:02:25,720
Speaker 2: just because you.

41
00:02:25,639 --> 00:02:27,880
Speaker 1: Pushed back all the time, you were like, you couldn't

42
00:02:27,880 --> 00:02:28,560
Speaker 1: have heard it right.

43
00:02:28,680 --> 00:02:31,960
Speaker 2: I'm like, because it doesn't sound because I worked in

44
00:02:32,000 --> 00:02:35,520
Speaker 2: a lab my entire life, and I just don't understand

45
00:02:35,560 --> 00:02:39,000
Speaker 2: how you could possibly bypass all of the governing agencies

46
00:02:39,040 --> 00:02:42,040
Speaker 2: with the amounts of inspections they do and oversight they have,

47
00:02:42,840 --> 00:02:46,399
Speaker 2: and really, I mean I still didn't even I still

48
00:02:46,440 --> 00:02:48,840
Speaker 2: don't believe it. I still don't believe that it was possible.

49
00:02:50,320 --> 00:02:54,000
Speaker 2: But yeah, like looking into it yesterday and really seeing

50
00:02:54,040 --> 00:02:56,160
Speaker 2: because that was my question of all of it, is

51
00:02:56,160 --> 00:03:00,920
Speaker 2: how did they get away from specifically like CLIA, which

52
00:03:00,960 --> 00:03:04,760
Speaker 2: is the clinical lab oversight of the United States, the

53
00:03:04,760 --> 00:03:07,320
Speaker 2: big one, the inspections they do in the labs and stuff.

54
00:03:07,360 --> 00:03:10,600
Speaker 2: And it was just really quite remarkable how they were

55
00:03:10,639 --> 00:03:13,800
Speaker 2: able to get away with it. And I mean they

56
00:03:13,840 --> 00:03:16,800
Speaker 2: didn't just defraud investors, which would have been bad enough,

57
00:03:16,880 --> 00:03:20,280
Speaker 2: but they really had this blood test available in real life,

58
00:03:20,320 --> 00:03:24,480
Speaker 2: people were taking it and just going through the process

59
00:03:24,560 --> 00:03:28,160
Speaker 2: number one, but number two like getting false results, and

60
00:03:28,200 --> 00:03:31,440
Speaker 2: that's where she should stay in jail for because of

61
00:03:31,480 --> 00:03:32,320
Speaker 2: that especially.

62
00:03:32,960 --> 00:03:35,560
Speaker 1: Well, yeah, let me just get into brief backgrounds so

63
00:03:35,640 --> 00:03:39,080
Speaker 1: people that aren't aware of the scacious understand I first

64
00:03:39,120 --> 00:03:42,240
Speaker 1: heard of this probably almost ten years ago. This documentary

65
00:03:42,280 --> 00:03:44,920
Speaker 1: came out about her, called The Inventor, and I remember

66
00:03:45,280 --> 00:03:47,600
Speaker 1: being in the first house Ricky and I lived in

67
00:03:47,640 --> 00:03:50,200
Speaker 1: together watching it because everybody was talking about it at

68
00:03:50,240 --> 00:03:51,760
Speaker 1: the time, so it was like you know, I want

69
00:03:51,760 --> 00:03:53,840
Speaker 1: to be up on what's going on in pop culture,

70
00:03:53,840 --> 00:03:57,240
Speaker 1: and we will be talking about Skyscraper live on YouTube tomorrow.

71
00:03:57,880 --> 00:04:00,360
Speaker 2: Oh yeah, oh yeah.

72
00:03:59,600 --> 00:04:00,880
Speaker 3: But yeah.

73
00:04:00,920 --> 00:04:02,200
Speaker 1: So it was one of those deals where I was like,

74
00:04:02,240 --> 00:04:02,840
Speaker 1: I have to watch this.

75
00:04:02,880 --> 00:04:03,840
Speaker 2: Everybody's talking about it.

76
00:04:03,880 --> 00:04:07,120
Speaker 1: I'm very interested in tech startup, corruption and all of that,

77
00:04:07,120 --> 00:04:09,160
Speaker 1: so it's like, Okay, this seems like the perfect documentary

78
00:04:09,160 --> 00:04:09,400
Speaker 1: for me.

79
00:04:09,960 --> 00:04:11,240
Speaker 2: So they start this off.

80
00:04:11,320 --> 00:04:13,320
Speaker 1: I mean, I haven't watched it since I initially watched it,

81
00:04:13,360 --> 00:04:16,000
Speaker 1: but when I'm starting to learn about Elizabeth Holmes in

82
00:04:16,040 --> 00:04:19,280
Speaker 1: the story, it's like, she's in Stanford, she's nineteen years old.

83
00:04:19,320 --> 00:04:24,480
Speaker 1: She gets this idea to start this startup revolutionizing the

84
00:04:24,480 --> 00:04:27,679
Speaker 1: blood testing community because she had a childhood fear of needles.

85
00:04:27,720 --> 00:04:28,640
Speaker 2: Right, So I'm.

86
00:04:28,400 --> 00:04:33,440
Speaker 1: Thinking of myself as somebody that had super severe needlephobia,

87
00:04:33,760 --> 00:04:36,000
Speaker 1: arguably still dealing with it, but it has been better

88
00:04:36,040 --> 00:04:38,080
Speaker 1: since my exposure therapy via IVA.

89
00:04:38,360 --> 00:04:40,680
Speaker 2: It's a it's a great idea. If it was if

90
00:04:40,720 --> 00:04:44,880
Speaker 2: it worked, it would it really would have been revolutionary, Like, yeah,

91
00:04:44,960 --> 00:04:45,760
Speaker 2: exactly would have.

92
00:04:46,160 --> 00:04:47,760
Speaker 1: So, and I think that's where a lot of my

93
00:04:47,960 --> 00:04:51,760
Speaker 1: anger comes at her, because I'm like, you actually had

94
00:04:51,839 --> 00:04:56,880
Speaker 1: this brilliant idea, but you just took every you just

95
00:04:56,920 --> 00:04:59,840
Speaker 1: took advantage of people, and you just took shortcuts, and

96
00:04:59,880 --> 00:05:03,000
Speaker 1: you you didn't actually try to make it work. You

97
00:05:03,040 --> 00:05:06,280
Speaker 1: were just a complete fraud. So I guess basically, she's

98
00:05:06,320 --> 00:05:08,800
Speaker 1: talking about this idea, she's presenting it to her professors

99
00:05:08,800 --> 00:05:11,440
Speaker 1: at Stanford. They're all just saying to her, this isn't

100
00:05:11,440 --> 00:05:13,599
Speaker 1: possible with what you're trying to do. You can't do

101
00:05:13,720 --> 00:05:16,200
Speaker 1: these blood tests with the prick of a finger. You

102
00:05:16,279 --> 00:05:18,760
Speaker 1: have to have a significant amount, like you were saying.

103
00:05:19,040 --> 00:05:22,360
Speaker 2: You think nobody thought of this before exactly. So she

104
00:05:22,400 --> 00:05:23,200
Speaker 2: doesn't give a shit.

105
00:05:23,440 --> 00:05:26,159
Speaker 1: She goes ahead and quits school in her sophomore year,

106
00:05:26,440 --> 00:05:30,320
Speaker 1: and she starts this startup and gets millions of dollars

107
00:05:30,320 --> 00:05:32,599
Speaker 1: in investing in the first year. I think almost seven

108
00:05:32,600 --> 00:05:34,880
Speaker 1: million dollars of investing in the very first year as

109
00:05:34,920 --> 00:05:35,479
Speaker 1: her startup.

110
00:05:35,720 --> 00:05:37,280
Speaker 2: So she's like manipulative.

111
00:05:37,560 --> 00:05:41,480
Speaker 1: She's very manipulative. And let's side note, she's weird. She

112
00:05:41,600 --> 00:05:46,400
Speaker 1: dresses in black turtlenecks and jeans like Steve Jobs.

113
00:05:46,720 --> 00:05:49,799
Speaker 2: She tries it, calls me Steve Jobs all the time.

114
00:05:49,880 --> 00:05:52,160
Speaker 3: You do have your Steve Jobs outfit, for sure.

115
00:05:52,640 --> 00:05:55,400
Speaker 1: She talks in this very weird, deep voice that is

116
00:05:55,440 --> 00:05:58,120
Speaker 1: not her natural voice. One of her professors even was like,

117
00:05:58,160 --> 00:06:00,800
Speaker 1: I was shocked when I saw her on television talking

118
00:06:00,880 --> 00:06:03,320
Speaker 1: like that, and I have put a video in the

119
00:06:03,320 --> 00:06:06,320
Speaker 1: grocer room showing her natural voice versus the one she uses.

120
00:06:06,760 --> 00:06:10,039
Speaker 1: It is very bizarre. She talks very slow because it's

121
00:06:10,080 --> 00:06:13,560
Speaker 1: not the way she naturally speaks. She's like this fraudulent

122
00:06:13,680 --> 00:06:17,200
Speaker 1: vegan person, like on this diet whatever, she's fay healthy.

123
00:06:17,279 --> 00:06:19,600
Speaker 1: She's a total fraud in every aspect of her life.

124
00:06:19,640 --> 00:06:25,000
Speaker 1: Nothing's really that original. So anyway, her startup is pretty popular,

125
00:06:25,120 --> 00:06:27,920
Speaker 1: and the thing with startups is that there's never a

126
00:06:27,960 --> 00:06:31,880
Speaker 1: guarantee they're going to work. So like investors are willing

127
00:06:32,000 --> 00:06:34,440
Speaker 1: to put money into them because if they do take off,

128
00:06:34,480 --> 00:06:38,640
Speaker 1: it could be very profitable, but there's a large possibility

129
00:06:38,920 --> 00:06:41,160
Speaker 1: that they will fail as well. But on all accounts,

130
00:06:41,200 --> 00:06:44,320
Speaker 1: it looked like her idea was this brilliant idea. I

131
00:06:44,360 --> 00:06:46,800
Speaker 1: think everybody could agree if it actually worked, it would

132
00:06:46,839 --> 00:06:47,839
Speaker 1: have been this amazing thing.

133
00:06:48,839 --> 00:06:51,840
Speaker 2: But she was also falsifying reports.

134
00:06:51,640 --> 00:06:53,920
Speaker 1: And the nature of the company and everything they were doing,

135
00:06:53,920 --> 00:06:56,040
Speaker 1: so it seemed like it was working with really behind

136
00:06:56,040 --> 00:06:59,599
Speaker 1: the scenes it just wasn't. So she has this weird

137
00:06:59,680 --> 00:07:01,800
Speaker 1: lover that's like twenty years older than her that she

138
00:07:01,920 --> 00:07:04,640
Speaker 1: met when she was on some high school program. He

139
00:07:04,680 --> 00:07:07,800
Speaker 1: gets involved with the business, he starts doing shady stuff.

140
00:07:07,960 --> 00:07:10,680
Speaker 1: Everybody starts talking about the environment of the company as

141
00:07:10,720 --> 00:07:13,240
Speaker 1: being paranoid. They were like spying on all the employees,

142
00:07:13,560 --> 00:07:16,200
Speaker 1: threatening all of them, firing anybody that spoke out about

143
00:07:16,200 --> 00:07:19,080
Speaker 1: the technology not working. We didn't even really touch on

144
00:07:19,120 --> 00:07:20,760
Speaker 1: this in the post, but they had a whistleblower that

145
00:07:20,840 --> 00:07:23,360
Speaker 1: ended up killing himself too, So there was all this

146
00:07:23,360 --> 00:07:26,440
Speaker 1: stuff going on behind the scenes. And eventually she gets

147
00:07:26,520 --> 00:07:30,800
Speaker 1: hit with federal charges for investor fraud. So like, let's

148
00:07:30,800 --> 00:07:33,080
Speaker 1: think about this. She's not even in jail for putting

149
00:07:33,120 --> 00:07:36,200
Speaker 1: real patience lives at risk. She's in jail for defrauding

150
00:07:36,320 --> 00:07:36,920
Speaker 1: rich people.

151
00:07:37,360 --> 00:07:39,920
Speaker 2: Yeah, which is I mean, but that might be the

152
00:07:39,960 --> 00:07:41,600
Speaker 2: only thing that they could get her on.

153
00:07:41,880 --> 00:07:45,200
Speaker 1: You know, no, totally, But it's just like, what does

154
00:07:45,280 --> 00:07:47,400
Speaker 1: she think she deserves to get out? And I guess

155
00:07:47,520 --> 00:07:50,240
Speaker 1: some could say this is hypocritical what I'm saying because

156
00:07:50,280 --> 00:07:52,920
Speaker 1: of what I said about the Christlies yesterday defrauding banks

157
00:07:53,280 --> 00:07:55,640
Speaker 1: versus a woman that set her children on fire. But

158
00:07:55,760 --> 00:07:58,360
Speaker 1: we have to realize that in the case of Elizabeth Hope,

159
00:07:58,440 --> 00:08:02,920
Speaker 1: she was hurting life people in addition to the investor fraud.

160
00:08:03,960 --> 00:08:08,760
Speaker 2: Yeah, and also you on their mind, like like bank

161
00:08:08,800 --> 00:08:13,160
Speaker 2: fraud is hurts everybody because it raises insurance rates and

162
00:08:13,200 --> 00:08:17,600
Speaker 2: it does this and does I'm saying comparison the victimless crime.

163
00:08:18,160 --> 00:08:21,120
Speaker 1: It's just not like but in comparison to setting your

164
00:08:21,200 --> 00:08:23,200
Speaker 1: kids on fire, that was more of the parties.

165
00:08:23,360 --> 00:08:24,080
Speaker 3: She just tries it.

166
00:08:24,360 --> 00:08:27,480
Speaker 2: She just seems like she's just like a rich like

167
00:08:27,800 --> 00:08:31,400
Speaker 2: a rich brat, Like she thinks, didn't she get pregnant

168
00:08:31,440 --> 00:08:34,199
Speaker 2: a couple of times and like try before she went away,

169
00:08:34,320 --> 00:08:36,559
Speaker 2: like hoping that that would have sympathy on the jury.

170
00:08:36,960 --> 00:08:40,160
Speaker 2: And that's really gross too if that's true that she

171
00:08:41,040 --> 00:08:43,640
Speaker 2: I mean, because anyone in their right mind, like if

172
00:08:43,679 --> 00:08:45,600
Speaker 2: you know you're getting ready for go to jail for

173
00:08:45,679 --> 00:08:48,840
Speaker 2: eleven years, My daughter's eleven years old right now, right Like,

174
00:08:49,360 --> 00:08:52,280
Speaker 2: why would you create a life and go to jail

175
00:08:52,360 --> 00:08:55,040
Speaker 2: and be away while your child was in their formative

176
00:08:55,120 --> 00:08:57,800
Speaker 2: first eleven years of their life, Like it's kind of gross.

177
00:08:58,280 --> 00:09:02,000
Speaker 1: Well, all right, so she can conveniently and allegedly because

178
00:09:02,000 --> 00:09:05,080
Speaker 1: this is not confirmed got pregnant right before her trial,

179
00:09:05,280 --> 00:09:06,800
Speaker 1: and second time right.

180
00:09:06,800 --> 00:09:09,800
Speaker 2: Did she used her own pregnancy tests because maybe that

181
00:09:09,960 --> 00:09:11,120
Speaker 2: was the problem.

182
00:09:11,400 --> 00:09:12,360
Speaker 3: That is unreal.

183
00:09:12,840 --> 00:09:16,240
Speaker 1: I think what happened in her mind is clearly she's

184
00:09:16,320 --> 00:09:19,760
Speaker 1: living in this false reality right where she's like the

185
00:09:19,760 --> 00:09:21,760
Speaker 1: most concerting part of this, I guess is that this

186
00:09:21,960 --> 00:09:24,000
Speaker 1: was going on for ten years. I mean, her company

187
00:09:24,120 --> 00:09:28,200
Speaker 1: was I think in twenty thirteen twenty fourteen evaluated at

188
00:09:28,600 --> 00:09:34,080
Speaker 1: nine billion dollar evaluation, So think about that. But she

189
00:09:34,440 --> 00:09:38,360
Speaker 1: portrayed this false image for ten full years with nobody

190
00:09:38,440 --> 00:09:41,000
Speaker 1: even blinking an eye about it, which is really concerning

191
00:09:41,040 --> 00:09:43,959
Speaker 1: about all the people connected to this. But I think

192
00:09:44,000 --> 00:09:46,720
Speaker 1: when they got caught for what they were doing, she

193
00:09:46,880 --> 00:09:49,160
Speaker 1: was trying to point fingers at the boyfriend, he was

194
00:09:49,160 --> 00:09:52,040
Speaker 1: trying to point fingers at her. And I really think

195
00:09:52,120 --> 00:09:53,800
Speaker 1: she thought she was going to be able to get

196
00:09:53,840 --> 00:09:56,640
Speaker 1: off because she had always had these powerful men in

197
00:09:56,679 --> 00:09:59,880
Speaker 1: her corner that were always able to defend her whenever

198
00:10:00,120 --> 00:10:03,320
Speaker 1: people started questioning her. And I think she really truly

199
00:10:03,360 --> 00:10:05,160
Speaker 1: thought she was not going to go to jail.

200
00:10:06,240 --> 00:10:09,640
Speaker 2: She might have also there's a thing that that pathological

201
00:10:09,679 --> 00:10:12,280
Speaker 2: liars do, that they tell a lie so often that

202
00:10:12,360 --> 00:10:16,520
Speaker 2: they actually believe it to be true, and she might

203
00:10:16,640 --> 00:10:21,400
Speaker 2: have just really convinced herself that this was all fine.

204
00:10:21,720 --> 00:10:23,960
Speaker 2: And I'm not like standing up for her at all

205
00:10:23,960 --> 00:10:28,240
Speaker 2: because she's a terrible person, but I just I really

206
00:10:28,280 --> 00:10:31,680
Speaker 2: think it's kind of remarkable that I think that other

207
00:10:31,800 --> 00:10:34,560
Speaker 2: people need to be in trouble too, just like just

208
00:10:34,640 --> 00:10:38,480
Speaker 2: the whole lab governing agency and stuff. Like I understand

209
00:10:38,520 --> 00:10:41,600
Speaker 2: how she got away with it, but it's only because

210
00:10:41,640 --> 00:10:44,360
Speaker 2: they had these loopholes and holes in their system that

211
00:10:44,440 --> 00:10:47,800
Speaker 2: she was able to pray on. Yeah, and she's presenting

212
00:10:47,880 --> 00:10:51,840
Speaker 2: and Walgreens too, Like I don't go to Walgreens unless

213
00:10:51,880 --> 00:10:53,360
Speaker 2: like I have to go to the drug store and

214
00:10:53,400 --> 00:10:56,320
Speaker 2: it's like the only one there. But if if I

215
00:10:56,480 --> 00:10:59,520
Speaker 2: went there and that was my main pharmacy where I

216
00:10:59,559 --> 00:11:02,240
Speaker 2: get my medications from, like I have a certain level

217
00:11:02,280 --> 00:11:06,840
Speaker 2: of trusting those people. They had a company working outside

218
00:11:06,840 --> 00:11:09,960
Speaker 2: of their establishment that was not legit at all, and

219
00:11:10,000 --> 00:11:12,520
Speaker 2: then it makes me question every single other thing that

220
00:11:12,559 --> 00:11:13,600
Speaker 2: goes on with their store.

221
00:11:14,000 --> 00:11:17,800
Speaker 1: Walgreens involvement in this is completely unacceptable. I agree with you.

222
00:11:17,880 --> 00:11:20,120
Speaker 1: They did not do their due diligence and making sure

223
00:11:20,160 --> 00:11:23,120
Speaker 1: and obviously she was falsifying reports and everything, But then

224
00:11:23,200 --> 00:11:26,800
Speaker 1: like you find out later on that she's claiming that

225
00:11:26,920 --> 00:11:29,520
Speaker 1: all these tests are being done on her device, which

226
00:11:29,559 --> 00:11:32,360
Speaker 1: is called the Edison device, right, But really they have

227
00:11:32,480 --> 00:11:35,439
Speaker 1: competitor devices behind in like a secret room in the

228
00:11:35,559 --> 00:11:38,199
Speaker 1: lab that they're doing the test on, and they're diluting

229
00:11:38,240 --> 00:11:41,480
Speaker 1: the blood which is skewing the results. So what is

230
00:11:41,520 --> 00:11:45,160
Speaker 1: happening that Walgreens allowed this to happen? And I believe

231
00:11:45,240 --> 00:11:48,640
Speaker 1: they were in forty locations alone in Arizona.

232
00:11:48,960 --> 00:11:52,080
Speaker 2: Was that little Edison machine supposed to be in each

233
00:11:52,160 --> 00:11:58,520
Speaker 2: Walgreens location or because that's that's what I got out

234
00:11:58,559 --> 00:12:01,280
Speaker 2: of it, because they were able to just do their

235
00:12:01,400 --> 00:12:06,320
Speaker 2: clinical lab accreditation at their main lab in California. But

236
00:12:06,760 --> 00:12:09,000
Speaker 2: I thought that the whole test was supposed to be

237
00:12:09,040 --> 00:12:12,200
Speaker 2: done in Walgreens, so it shouldn't have been like technically

238
00:12:12,280 --> 00:12:14,199
Speaker 2: a send out that the blood was coming.

239
00:12:14,880 --> 00:12:17,080
Speaker 1: Well, exactly, it was supposed to be done on the

240
00:12:17,240 --> 00:12:20,720
Speaker 1: Edison device with the fingerprick. But didn't you write that

241
00:12:20,800 --> 00:12:23,720
Speaker 1: they were taking blood still from people's veins.

242
00:12:24,880 --> 00:12:29,560
Speaker 2: No, No, they still had to sometimes because the results

243
00:12:29,559 --> 00:12:33,000
Speaker 2: weren't yielding what they needed to. Because those machines that

244
00:12:33,040 --> 00:12:37,400
Speaker 2: are used in all hospitals and labs across the world,

245
00:12:37,440 --> 00:12:42,600
Speaker 2: the country and the world. Those machines are calibrated to

246
00:12:42,840 --> 00:12:47,640
Speaker 2: use venus blood that comes in a large volume that

247
00:12:47,679 --> 00:12:50,600
Speaker 2: comes in the vena puncture tubes. Right, So when they

248
00:12:50,720 --> 00:12:53,360
Speaker 2: only had a drop of the blood from the finger prick,

249
00:12:53,720 --> 00:12:57,079
Speaker 2: they were basically like adding saline to it to make

250
00:12:57,120 --> 00:13:00,280
Speaker 2: it be the same amount of volume as the blood.

251
00:13:01,400 --> 00:13:04,760
Speaker 2: So it like it was. It wasn't calcl Yeah, that's

252
00:13:04,800 --> 00:13:07,680
Speaker 2: why it wasn't reading it correctly because it was too

253
00:13:07,720 --> 00:13:11,360
Speaker 2: diluted down and they were running it on like quest machines. Yeah,

254
00:13:11,360 --> 00:13:14,800
Speaker 2: they were running it on the normal machines. This is true,

255
00:13:14,880 --> 00:13:17,480
Speaker 2: which are approved. So I guess when a person goes

256
00:13:17,520 --> 00:13:20,160
Speaker 2: to the lab and sees something running on those machines,

257
00:13:20,200 --> 00:13:24,240
Speaker 2: the inspector they think that it I don't know what

258
00:13:24,280 --> 00:13:26,599
Speaker 2: they thought it was, because they shouldn't have had it.

259
00:13:26,760 --> 00:13:29,960
Speaker 2: They shouldn't even have had those machines. But I think

260
00:13:29,960 --> 00:13:32,679
Speaker 2: that that was supposed to be. That was also a

261
00:13:32,679 --> 00:13:35,360
Speaker 2: normal lab too, which was how they were getting around it,

262
00:13:36,280 --> 00:13:40,280
Speaker 2: because like in theory, if Barahans only did that one

263
00:13:40,360 --> 00:13:43,520
Speaker 2: test on that one machine, they shouldn't even own those machines.

264
00:13:44,679 --> 00:13:48,160
Speaker 2: But they did because they were operating as a normal

265
00:13:48,280 --> 00:13:50,360
Speaker 2: lab like or pretending to at least.

266
00:13:51,000 --> 00:13:53,840
Speaker 1: It's just negligence on all behalf. And it's not even

267
00:13:53,880 --> 00:13:57,280
Speaker 1: a situation of like this could have been harmful to

268
00:13:57,320 --> 00:14:01,280
Speaker 1: real patients. I mean, real patients were getting bad results

269
00:14:01,360 --> 00:14:03,760
Speaker 1: on there that were affecting their lives.

270
00:14:04,960 --> 00:14:08,080
Speaker 2: Well hopefully, I mean, I don't know. I don't know

271
00:14:08,120 --> 00:14:10,480
Speaker 2: what she's thinking. I mean, listen, like, if i'm her,

272
00:14:10,920 --> 00:14:13,559
Speaker 2: I'm gonna ask for a pardon too, Like why not ask?

273
00:14:13,920 --> 00:14:16,480
Speaker 2: I mean, if you burn two of your kids alive

274
00:14:16,559 --> 00:14:19,000
Speaker 2: in a car, apparently you could get out. So and

275
00:14:19,360 --> 00:14:21,400
Speaker 2: that's what's setting a bad precedent too, because when you

276
00:14:21,480 --> 00:14:24,920
Speaker 2: look at that, you're just like, well if she uses

277
00:14:24,960 --> 00:14:28,400
Speaker 2: that as a comparison, like I didn't kill anybody like that, Like, yeah,

278
00:14:28,440 --> 00:14:30,720
Speaker 2: she's kind of right, honestly, Like that's why we can't

279
00:14:30,760 --> 00:14:33,360
Speaker 2: let people out that are burning their children alive in

280
00:14:33,360 --> 00:14:33,760
Speaker 2: a car.

281
00:14:34,280 --> 00:14:36,560
Speaker 1: No, I understand this is a hell Mary, and like

282
00:14:36,720 --> 00:14:40,160
Speaker 1: she very well may get out because of it, right,

283
00:14:40,640 --> 00:14:43,160
Speaker 1: And I mean I don't really think she's really being

284
00:14:43,200 --> 00:14:47,400
Speaker 1: punished that bad. She's at a minimal security prison in Texas.

285
00:14:47,440 --> 00:14:51,680
Speaker 1: I believe it's rated the nicest one in the entire country.

286
00:14:51,960 --> 00:14:54,320
Speaker 2: I mean, it still sucks. And if she has a kid,

287
00:14:55,040 --> 00:14:57,600
Speaker 2: I mean it still sucks. Plus it's late had.

288
00:14:57,440 --> 00:15:00,640
Speaker 1: Those children knowing I know full well she was going

289
00:15:00,640 --> 00:15:04,200
Speaker 1: to jail, and that's really fucked up to put those kids.

290
00:15:04,200 --> 00:15:07,240
Speaker 2: It is, it's not cool and it's very selfish.

291
00:15:07,520 --> 00:15:09,520
Speaker 1: And her kids are not with the guy that she

292
00:15:09,600 --> 00:15:12,640
Speaker 1: was running the company with. It's she met some hotel error.

293
00:15:12,960 --> 00:15:16,280
Speaker 2: And then they got married. Yeah, but I don't know.

294
00:15:16,400 --> 00:15:19,720
Speaker 2: I have no sympathy and she really I haven't even

295
00:15:19,760 --> 00:15:22,680
Speaker 2: looked at what she looks like. Is she like sexy

296
00:15:22,720 --> 00:15:24,600
Speaker 2: and stuff? Does she have like the I just feel

297
00:15:25,240 --> 00:15:29,360
Speaker 2: I just feel like she's got this ability to like

298
00:15:29,360 --> 00:15:32,360
Speaker 2: like I mean, you could see the one guy maybe,

299
00:15:33,320 --> 00:15:38,080
Speaker 2: but what's his name, Sonny Sonny Bell that guy, But

300
00:15:38,200 --> 00:15:40,920
Speaker 2: the other guy, it's just like he already knew all

301
00:15:41,000 --> 00:15:43,560
Speaker 2: what she was all about and still like you still

302
00:15:44,080 --> 00:15:47,040
Speaker 2: are getting with her, Like I don't understand it.

303
00:15:47,520 --> 00:15:49,840
Speaker 1: I think when she was starting the company and she

304
00:15:49,920 --> 00:15:52,000
Speaker 1: was in her early twenties, right, she like could have

305
00:15:52,120 --> 00:15:55,520
Speaker 1: come across as this cute, nerdy, blonde girl that had

306
00:15:55,560 --> 00:15:59,600
Speaker 1: this amazing vision seemingly and that could have played to

307
00:15:59,640 --> 00:16:01,560
Speaker 1: the heart of like some of these older men that

308
00:16:01,640 --> 00:16:04,240
Speaker 1: ended up being her board members later on. But I mean,

309
00:16:04,280 --> 00:16:07,479
Speaker 1: now she's forty one years old, like truly.

310
00:16:07,160 --> 00:16:08,600
Speaker 2: She's she's an old hag.

311
00:16:08,720 --> 00:16:11,720
Speaker 1: Now truly, all I think about is like this weird

312
00:16:11,760 --> 00:16:13,880
Speaker 1: deep voice she speaks in, and she used to hold

313
00:16:13,920 --> 00:16:16,680
Speaker 1: the little vial up and be like one drop of blood.

314
00:16:18,640 --> 00:16:20,840
Speaker 1: I have to send you the clip. Her voice is

315
00:16:20,920 --> 00:16:24,280
Speaker 1: just so bizarre, but like, yeah, I have zero sympathy

316
00:16:24,320 --> 00:16:26,320
Speaker 1: for her at all. And then last year it's just

317
00:16:26,360 --> 00:16:29,960
Speaker 1: blowing my mind because it's like I'm seeing headlines like, oh,

318
00:16:30,000 --> 00:16:32,520
Speaker 1: she's hanging out with real housewives of Salt Lake City

319
00:16:32,640 --> 00:16:35,720
Speaker 1: Genshaw in prison, like which is so weird. And then

320
00:16:35,760 --> 00:16:38,720
Speaker 1: all of a sudden, Julaane Maxwell gets transferred to this prison,

321
00:16:39,000 --> 00:16:42,200
Speaker 1: and then I see reports that Elizabeth Holmes and Jenshaw

322
00:16:42,560 --> 00:16:46,440
Speaker 1: are like shunning Julayne Maxwell from the friend group, and

323
00:16:46,520 --> 00:16:49,000
Speaker 1: I'm just thinking, what world are we living in that

324
00:16:49,240 --> 00:16:53,200
Speaker 1: this is happening. Yeah, it's weird, it's unbelievable, but yeah,

325
00:16:53,280 --> 00:16:55,800
Speaker 1: I mean, if you couldn't tell from my whole rant,

326
00:16:55,880 --> 00:16:58,480
Speaker 1: I don't think she deserves to get out. I won't

327
00:16:58,520 --> 00:17:01,600
Speaker 1: be surprised if she does, because, as we reported yesterday,

328
00:17:01,640 --> 00:17:04,200
Speaker 1: a woman that said her holler's on fire is getting

329
00:17:04,240 --> 00:17:08,040
Speaker 1: out of jail and that's that. But if she doesn't

330
00:17:08,040 --> 00:17:10,960
Speaker 1: get released, if her pardon is not accepted, she will

331
00:17:11,000 --> 00:17:15,679
Speaker 1: be getting out in twenty thirty one. So and what

332
00:17:15,880 --> 00:17:19,120
Speaker 1: her kids will be like the kid's age. Now, Yeah,

333
00:17:19,160 --> 00:17:22,280
Speaker 1: it's messed up. It's messed up, don't I don't agree

334
00:17:22,280 --> 00:17:25,600
Speaker 1: with it at all. Okay, So, a couple of weeks ago,

335
00:17:25,640 --> 00:17:27,960
Speaker 1: a therapist had been finishing up a session with one

336
00:17:27,960 --> 00:17:31,119
Speaker 1: of her patients when another patient suddenly barged in and

337
00:17:31,160 --> 00:17:32,560
Speaker 1: started stabbing both of them.

338
00:17:33,000 --> 00:17:36,639
Speaker 2: This is really scary. It's really I don't even know why. Like,

339
00:17:36,680 --> 00:17:39,679
Speaker 2: I never even really thought about this. And one of

340
00:17:39,720 --> 00:17:42,000
Speaker 2: my best friends is a therapist and I sent her

341
00:17:42,040 --> 00:17:43,560
Speaker 2: this and I was like, dude, did you see this.

342
00:17:44,200 --> 00:17:46,879
Speaker 1: I've only thought of it before because there's this m

343
00:17:46,960 --> 00:17:51,200
Speaker 1: Night shammel On movie where like James McVoy is personality

344
00:17:51,200 --> 00:17:54,040
Speaker 1: what's that personality disorder? Multiple personality disorder?

345
00:17:54,119 --> 00:17:56,040
Speaker 3: You know, he's like a different thing any time.

346
00:17:56,320 --> 00:17:59,000
Speaker 1: I mean, Heath kills his therapist in that movie. But

347
00:18:00,160 --> 00:18:02,440
Speaker 1: I've thought of it before, but I haven't heard many

348
00:18:02,480 --> 00:18:05,400
Speaker 1: stories of it. Happening in real life, and to think

349
00:18:05,440 --> 00:18:09,520
Speaker 1: that they're going after the doctor and or not even

350
00:18:09,520 --> 00:18:16,040
Speaker 1: necessarily the doctor, the therapist and then another patient is so terrifying. Well,

351
00:18:16,560 --> 00:18:19,520
Speaker 1: I mean in theory though this could happen, This could

352
00:18:19,520 --> 00:18:22,399
Speaker 1: have happened if it was the guy's regular appointment. But

353
00:18:22,560 --> 00:18:26,560
Speaker 1: I guess her family's upset because she was supposed to

354
00:18:26,600 --> 00:18:30,159
Speaker 1: be in a building that they don't understand how this

355
00:18:30,240 --> 00:18:33,760
Speaker 1: guy got in and did this. But I mean in theory,

356
00:18:33,920 --> 00:18:35,760
Speaker 1: like even if he had an appointment with her, he

357
00:18:35,800 --> 00:18:37,359
Speaker 1: still could have done something like this.

358
00:18:37,480 --> 00:18:44,760
Speaker 2: So clearly he's not. I guess he was having some

359
00:18:44,840 --> 00:18:51,040
Speaker 2: kind of problems. He was committed violent sexual battery, violent

360
00:18:51,119 --> 00:18:56,080
Speaker 2: anti social personality disorder. I mean, people who are seeing

361
00:18:56,160 --> 00:19:01,520
Speaker 2: patients like this really need to protect themselves, right because

362
00:19:01,760 --> 00:19:05,639
Speaker 2: because this is I didn't think in a normal just

363
00:19:05,680 --> 00:19:09,000
Speaker 2: like therapist's situation, you know, where you're just like in

364
00:19:09,040 --> 00:19:11,600
Speaker 2: an office building, that you would be seeing people like this.

365
00:19:11,720 --> 00:19:16,120
Speaker 2: I thought that would be more like an impatient psychiatric thing.

366
00:19:16,240 --> 00:19:18,920
Speaker 1: Well, he was out on parole, and part of his

367
00:19:18,960 --> 00:19:22,679
Speaker 1: parole conditions was that he was going to treatment for

368
00:19:23,119 --> 00:19:25,600
Speaker 1: his crimes, right, So like, yeah, I understand.

369
00:19:25,480 --> 00:19:27,760
Speaker 2: But you just like a person like that just goes

370
00:19:27,800 --> 00:19:30,960
Speaker 2: to the same appointment that like people that are complaining

371
00:19:31,040 --> 00:19:33,960
Speaker 2: because their husband doesn't pay enough attention to them, is

372
00:19:34,080 --> 00:19:35,240
Speaker 2: like the same thing.

373
00:19:35,840 --> 00:19:39,000
Speaker 1: Maybe she was treating him in a more formal facility

374
00:19:39,080 --> 00:19:42,680
Speaker 1: related to his prison sentence, but that was her private practice,

375
00:19:42,720 --> 00:19:45,439
Speaker 1: and then he found out where her private was. I mean,

376
00:19:45,480 --> 00:19:50,159
Speaker 1: they haven't released that information, but basically, the other like

377
00:19:50,240 --> 00:19:53,439
Speaker 1: the other patient that just happened to be there, was

378
00:19:53,480 --> 00:19:55,160
Speaker 1: able to call nine one one and they were both

379
00:19:55,160 --> 00:19:57,560
Speaker 1: transfer to the hospital. The therapists ended up dying, the other

380
00:19:57,600 --> 00:20:00,000
Speaker 1: guys expected to survive, and then the next morning they

381
00:20:00,080 --> 00:20:02,439
Speaker 1: found the attacker dead of an apparent suicide.

382
00:20:03,760 --> 00:20:07,439
Speaker 2: Yeah, of course, I mean, that's that's just scary I

383
00:20:07,480 --> 00:20:10,800
Speaker 2: get and anybody that's therapist. I haven't even talked to

384
00:20:10,840 --> 00:20:13,639
Speaker 2: my friend yet since I've texted her this story, but

385
00:20:13,760 --> 00:20:16,879
Speaker 2: I'm just curious, like if this is a if this

386
00:20:16,960 --> 00:20:20,360
Speaker 2: is if you've ever had a patient, because really, when

387
00:20:20,400 --> 00:20:23,480
Speaker 2: you do therapy, you really get to know people different

388
00:20:23,520 --> 00:20:26,320
Speaker 2: than if you're a doctor taking care of a person,

389
00:20:26,400 --> 00:20:29,280
Speaker 2: like they're telling you personal things over time. If there's

390
00:20:29,840 --> 00:20:34,560
Speaker 2: someone that you actually get frightened of that they might

391
00:20:34,640 --> 00:20:36,840
Speaker 2: come back and try to hurt you or something, and

392
00:20:36,920 --> 00:20:40,360
Speaker 2: if you have to report that to someone, and who

393
00:20:40,400 --> 00:20:44,400
Speaker 2: you who would you even report it to, like the police,

394
00:20:45,080 --> 00:20:47,960
Speaker 2: and just you know, well, if you can't, you can't.

395
00:20:48,000 --> 00:20:50,119
Speaker 2: If they haven't threatened you, you can't do anything. But

396
00:20:50,240 --> 00:20:53,320
Speaker 2: I wonder if she was scared of this person.

397
00:20:54,440 --> 00:20:56,440
Speaker 1: I don't know, because we know he was in jail

398
00:20:56,480 --> 00:20:59,800
Speaker 1: for doing horrific things. And I mean, I think there's

399
00:21:00,160 --> 00:21:07,280
Speaker 1: no doctor patient confidentiality with therapy. If they've expressed, like

400
00:21:07,320 --> 00:21:11,120
Speaker 1: you're saying, threats or if they've admitted to doing something violent,

401
00:21:11,800 --> 00:21:13,760
Speaker 1: then they're allowed to go to the therapist is then

402
00:21:13,800 --> 00:21:16,440
Speaker 1: allowed to go to the police and break that confidentiality.

403
00:21:17,080 --> 00:21:19,080
Speaker 1: But we don't really know what happened. If he had

404
00:21:19,080 --> 00:21:22,600
Speaker 1: threatened her before, if she was comfortable with him, I mean,

405
00:21:22,640 --> 00:21:24,480
Speaker 1: he could have been faking it the whole time that

406
00:21:24,520 --> 00:21:26,720
Speaker 1: he was being trying to recover and be a nice

407
00:21:26,720 --> 00:21:28,560
Speaker 1: guy and he suddenly had a break and went there

408
00:21:28,600 --> 00:21:31,960
Speaker 1: and killed her. So it's just really scary to think about.

409
00:21:32,040 --> 00:21:34,160
Speaker 1: I mean, in theory, I feel like this could happen

410
00:21:34,240 --> 00:21:37,600
Speaker 1: to any medical professional, Like what if you get the

411
00:21:37,640 --> 00:21:38,720
Speaker 1: wrong diagnosis?

412
00:21:39,119 --> 00:21:41,399
Speaker 2: Yeah, I mean it has it has happened. For sure.

413
00:21:41,560 --> 00:21:45,240
Speaker 2: We've seen that that people will show up and kill

414
00:21:45,320 --> 00:21:47,480
Speaker 2: the doctor because of something like that. I mean, it's

415
00:21:47,520 --> 00:21:56,199
Speaker 2: just it's just scary.

416
00:21:58,440 --> 00:22:00,840
Speaker 1: This episode is brought to you by the Grossroom.

417
00:22:01,280 --> 00:22:01,560
Speaker 3: Guys.

418
00:22:01,600 --> 00:22:05,560
Speaker 2: If you want to read more about Elizabeth Holmes and Farahs,

419
00:22:05,960 --> 00:22:09,240
Speaker 2: check that out in the Grossroom. We actually also have

420
00:22:09,600 --> 00:22:14,120
Speaker 2: so last week a high profile death disseection. We did

421
00:22:14,119 --> 00:22:17,520
Speaker 2: our almost death disseection we did on lead poisoning, and

422
00:22:17,680 --> 00:22:20,600
Speaker 2: I came across this other crazy case of lead poisoning.

423
00:22:20,680 --> 00:22:22,359
Speaker 2: So I have that in the Gross Room with all

424
00:22:22,400 --> 00:22:27,119
Speaker 2: the pictures that go along with that. And Friday, we

425
00:22:27,320 --> 00:22:30,360
Speaker 2: are going to have our YouTube live that we do

426
00:22:30,560 --> 00:22:35,000
Speaker 2: every single week with Grossroom members and it's kind of

427
00:22:35,119 --> 00:22:37,800
Speaker 2: like a Mother Nos death episode, but a little bit

428
00:22:37,800 --> 00:22:42,480
Speaker 2: more relaxed and off the hinges. And we talk about

429
00:22:42,520 --> 00:22:45,560
Speaker 2: other things too, like conspiracy theories. I have an I

430
00:22:45,600 --> 00:22:47,880
Speaker 2: have another good one and it has to do with

431
00:22:49,480 --> 00:22:53,159
Speaker 2: your boy climbing the building. Oh no, which was out.

432
00:22:53,400 --> 00:22:56,119
Speaker 2: It's not about him, it just it just goes along

433
00:22:56,160 --> 00:22:59,719
Speaker 2: with him too. But a conspiracy theory that we talk

434
00:22:59,760 --> 00:23:03,080
Speaker 2: of about in there, like almost every week, the moon.

435
00:23:05,119 --> 00:23:10,320
Speaker 2: So so yeah, it's fun though it's really fun and

436
00:23:10,320 --> 00:23:13,639
Speaker 2: and it usually goes an hour. Sometimes it goes like

437
00:23:13,680 --> 00:23:16,240
Speaker 2: an hour and a half. It's just like totally off

438
00:23:16,240 --> 00:23:18,840
Speaker 2: the hinges. So we do talk about stories that we

439
00:23:18,880 --> 00:23:21,040
Speaker 2: don't talk about on Mother Knows Death, but we also

440
00:23:21,119 --> 00:23:23,359
Speaker 2: talk about other stuff too, and it's it's fun and

441
00:23:24,119 --> 00:23:27,359
Speaker 2: you could interact with us too and right in the

442
00:23:27,440 --> 00:23:30,320
Speaker 2: chat and the conversation could kind of go from there.

443
00:23:30,359 --> 00:23:32,000
Speaker 2: So it's really fun. Check that out.

444
00:23:32,359 --> 00:23:34,880
Speaker 1: Head over to the grossroom dot com now to sign up.

445
00:23:37,520 --> 00:23:42,320
Speaker 2: Okay, what's next on the list here? Oh this listen,

446
00:23:42,800 --> 00:23:45,480
Speaker 2: people your age are annoying.

447
00:23:46,200 --> 00:23:48,560
Speaker 1: This headline, first of all, is a bit of a stretch.

448
00:23:48,560 --> 00:23:50,920
Speaker 1: So they're saying this new mother is going viral for

449
00:23:51,280 --> 00:23:55,160
Speaker 1: quote slapping her mother away while trying to kiss her

450
00:23:55,160 --> 00:23:58,040
Speaker 1: new baby. She doesn't really slap her per se, but

451
00:23:58,080 --> 00:24:01,520
Speaker 1: she does push her head away, but the word slap

452
00:24:01,560 --> 00:24:03,040
Speaker 1: of like chill out.

453
00:24:04,040 --> 00:24:07,159
Speaker 2: I just think, like what I've noticed over the past

454
00:24:07,680 --> 00:24:11,119
Speaker 2: couple of years is just people having babies think that

455
00:24:11,160 --> 00:24:13,800
Speaker 2: their baby is the most important baby, and like it's

456
00:24:13,840 --> 00:24:18,880
Speaker 2: just it's just so annoying, Like yeah, the like you're

457
00:24:18,920 --> 00:24:21,040
Speaker 2: not gonna let your mom kiss your baby?

458
00:24:21,080 --> 00:24:24,159
Speaker 1: Come on, no, I definitely think there's a problem with

459
00:24:24,280 --> 00:24:28,240
Speaker 1: millennials in general thinking that and just listening to advice

460
00:24:28,280 --> 00:24:32,479
Speaker 1: on social media and just being completely uninformed about you know,

461
00:24:33,560 --> 00:24:36,720
Speaker 1: we know people in our life that have kids and

462
00:24:36,720 --> 00:24:39,000
Speaker 1: they're so crazy about it and they want it a

463
00:24:39,119 --> 00:24:42,919
Speaker 1: very specific way, and it's just like you're talking to

464
00:24:42,960 --> 00:24:45,720
Speaker 1: people that have raised other children. They know what they're doing.

465
00:24:47,119 --> 00:24:50,280
Speaker 1: My only insight on this, and I don't think you've

466
00:24:50,280 --> 00:24:53,359
Speaker 1: seen this as much. I definitely see old people that

467
00:24:53,480 --> 00:24:57,119
Speaker 1: kiss babies on the mouth and that I don't like that,

468
00:24:57,400 --> 00:24:59,919
Speaker 1: and I like, kissing them on the head is whatever.

469
00:25:00,400 --> 00:25:01,840
Speaker 2: Kissing them on the mouth.

470
00:25:01,760 --> 00:25:06,520
Speaker 1: Is a inappropriate to me, I don't, I don't, I'm

471
00:25:06,680 --> 00:25:07,000
Speaker 1: I don't.

472
00:25:07,080 --> 00:25:10,560
Speaker 2: We've we've talked about this before. Like the mouth kissing

473
00:25:10,640 --> 00:25:13,960
Speaker 2: thing to me with anyone that's like not your your

474
00:25:14,040 --> 00:25:17,360
Speaker 2: partner is just like weird. Yeah, I don't like it

475
00:25:17,440 --> 00:25:20,399
Speaker 2: if you're not, If you're not, I don't know. Me Like,

476
00:25:20,480 --> 00:25:25,040
Speaker 2: I just don't like it with kids. I think it's weird. Yeah,

477
00:25:25,080 --> 00:25:27,720
Speaker 2: So I agree with that. I don't think it's necessary,

478
00:25:28,040 --> 00:25:32,359
Speaker 2: and obviously, I mean I do think like if you're sick,

479
00:25:33,200 --> 00:25:35,760
Speaker 2: you shouldn't go near a newborn baby. If you have

480
00:25:36,080 --> 00:25:38,159
Speaker 2: like a giant herp on your lip, you shouldn't be

481
00:25:38,240 --> 00:25:41,400
Speaker 2: kissing a baby, like obvious. This is like obvious shit.

482
00:25:42,160 --> 00:25:46,479
Speaker 2: But like the mom, the mom actually in this in

483
00:25:46,520 --> 00:25:49,840
Speaker 2: this video, the mom herself kissed the baby. It's just

484
00:25:49,880 --> 00:25:53,480
Speaker 2: like that whole thing like, Oh, I'm I'm not gonna

485
00:25:53,520 --> 00:25:55,600
Speaker 2: let you see you know, I can't. I just had

486
00:25:55,600 --> 00:25:57,960
Speaker 2: the baby and it's near Christmas and I can't bring

487
00:25:58,000 --> 00:26:00,320
Speaker 2: the baby around you because the baby's new. But then

488
00:26:00,359 --> 00:26:02,480
Speaker 2: like you're bringing the baby to the mall. It's like this,

489
00:26:02,760 --> 00:26:07,679
Speaker 2: like this dumb shit, like like if you leave the house,

490
00:26:07,840 --> 00:26:10,720
Speaker 2: you're just as able to be sick and bring something

491
00:26:10,720 --> 00:26:13,160
Speaker 2: home to the kid as the mom is, if she's

492
00:26:13,200 --> 00:26:18,440
Speaker 2: not actively sick like right now, like I right now,

493
00:26:18,520 --> 00:26:20,399
Speaker 2: like if you had the baby right now, I wouldn't

494
00:26:20,400 --> 00:26:23,280
Speaker 2: be around the baby because of whatever like flew I

495
00:26:23,400 --> 00:26:26,560
Speaker 2: had and now into this whatever green shit I'm coughing

496
00:26:26,640 --> 00:26:30,359
Speaker 2: up right like I would be like, eh, I'm sick,

497
00:26:30,400 --> 00:26:35,159
Speaker 2: I'm fit, I'm visibly sick, but like on a normal day, No,

498
00:26:35,520 --> 00:26:38,080
Speaker 2: that's ridiculous, it's absolutely ridiculous.

499
00:26:38,200 --> 00:26:41,040
Speaker 1: Well, of course, but you're saying that's obvious, But I know,

500
00:26:41,359 --> 00:26:46,159
Speaker 1: selfish people that wouldn't care if they had tuberculosis or

501
00:26:46,200 --> 00:26:48,760
Speaker 1: the black plague. They're coming near my kid and just

502
00:26:48,800 --> 00:26:51,680
Speaker 1: acting like that's not a thing. So like I think

503
00:26:51,680 --> 00:26:54,720
Speaker 1: if somebody's visibly sick and you have to be like,

504
00:26:55,600 --> 00:26:57,480
Speaker 1: don't come near my kid, and they want to start

505
00:26:57,520 --> 00:27:01,800
Speaker 1: shit like that's ridiculous, like that you can't sit. I

506
00:27:01,840 --> 00:27:04,639
Speaker 1: hate the word boundary. You can't sit the boundary that

507
00:27:04,680 --> 00:27:07,320
Speaker 1: an obvious sick person should not be kissing or coming

508
00:27:07,400 --> 00:27:10,360
Speaker 1: near your newborn baby, right, And I have no problem

509
00:27:10,400 --> 00:27:13,000
Speaker 1: like with people kissing the baby's head and stuff. I

510
00:27:13,119 --> 00:27:16,280
Speaker 1: really will freak out if somebody kisses him on the mouth.

511
00:27:16,440 --> 00:27:19,760
Speaker 1: I think it's just weird and creepy. I don't like it,

512
00:27:20,520 --> 00:27:21,200
Speaker 1: and like.

513
00:27:21,160 --> 00:27:25,879
Speaker 2: Their immune systems are immature and can't handle things. I

514
00:27:25,920 --> 00:27:29,399
Speaker 2: do agree with that, But at the same time, I

515
00:27:29,440 --> 00:27:32,639
Speaker 2: feel like there's no better time to introduce them, like

516
00:27:32,840 --> 00:27:35,920
Speaker 2: I just think I do. I do, and I've been

517
00:27:36,000 --> 00:27:38,440
Speaker 2: like that my whole entire life. And I think that way,

518
00:27:38,520 --> 00:27:41,600
Speaker 2: like kids need to get dirty and be exposed to germs,

519
00:27:41,640 --> 00:27:46,359
Speaker 2: and like the more the merrier, right, Like it's you're

520
00:27:46,680 --> 00:27:50,840
Speaker 2: literally helping them build their immune system, keeping them isolated

521
00:27:50,880 --> 00:27:53,720
Speaker 2: in a house near no humans is really bad for them.

522
00:27:53,800 --> 00:27:56,760
Speaker 2: It's bad. I'm sorry. It just is like I'm like

523
00:27:56,840 --> 00:27:59,600
Speaker 2: a the baby pops out and the next day, when

524
00:27:59,600 --> 00:28:01,720
Speaker 2: you're able to walk, you go to the mall with

525
00:28:01,760 --> 00:28:04,760
Speaker 2: the kid. Like I'm just like that. Yeah, And I

526
00:28:04,800 --> 00:28:06,639
Speaker 2: mean I feel like Ricky was just telling you, like

527
00:28:06,720 --> 00:28:06,960
Speaker 2: I was.

528
00:28:07,720 --> 00:28:09,639
Speaker 1: He he thinks I'm saying we're not going to go

529
00:28:09,680 --> 00:28:12,439
Speaker 1: to the Phillies game for months because of the people,

530
00:28:12,480 --> 00:28:15,840
Speaker 1: And I'm like, no, it's if he's born in the

531
00:28:16,040 --> 00:28:19,399
Speaker 1: like the beginning of summer and it's one hundred degrees outside.

532
00:28:19,440 --> 00:28:21,080
Speaker 1: I'm not going to bring a one month old out

533
00:28:21,160 --> 00:28:23,479
Speaker 1: to die in one hundred degrees. I as an adult,

534
00:28:23,480 --> 00:28:25,960
Speaker 1: don't want to be out in a hundred degree weather, right.

535
00:28:26,400 --> 00:28:29,159
Speaker 1: But the people think they need to be exposed to people,

536
00:28:29,240 --> 00:28:32,720
Speaker 1: And like, I think millennials are setting too many boundaries

537
00:28:32,760 --> 00:28:37,400
Speaker 1: and they're just getting incorrect information and they're not trusting

538
00:28:37,520 --> 00:28:40,480
Speaker 1: that babies have been being born for thousands of years

539
00:28:40,800 --> 00:28:42,240
Speaker 1: and people have figured it out.

540
00:28:42,360 --> 00:28:43,800
Speaker 3: Your kid's not that special.

541
00:28:44,800 --> 00:28:48,240
Speaker 2: Yeah, I mean that's that's that's my message all the time.

542
00:28:48,280 --> 00:28:51,400
Speaker 2: It is just like, your kid's not just special.

543
00:28:51,680 --> 00:28:54,840
Speaker 1: But in regards to this video they were saying they

544
00:28:54,840 --> 00:28:56,560
Speaker 1: were making it as a joke, but then at the

545
00:28:56,560 --> 00:28:58,720
Speaker 1: same time she was like, well I did get sick

546
00:28:58,840 --> 00:29:02,120
Speaker 1: from being kissed by a sick person as well.

547
00:29:02,160 --> 00:29:05,520
Speaker 2: You're you're going, but you're going like I don't know

548
00:29:05,640 --> 00:29:08,920
Speaker 2: when that ever happened. Maybe during COVID that people were like,

549
00:29:09,000 --> 00:29:13,840
Speaker 2: we're not getting sick anymore. Like, I just don't understand. Listen,

550
00:29:13,880 --> 00:29:19,280
Speaker 2: it's a complete inconvenience. I don't I and I really

551
00:29:19,280 --> 00:29:21,240
Speaker 2: feel like I don't get I was saying that to

552
00:29:21,280 --> 00:29:25,080
Speaker 2: Gabe Blake. I'm coughing like this and I might actually

553
00:29:25,120 --> 00:29:29,240
Speaker 2: have to go to the doctor because like it's something

554
00:29:29,280 --> 00:29:32,760
Speaker 2: I can't handle myself. I really, I mean, I go

555
00:29:32,880 --> 00:29:35,360
Speaker 2: to the doctor for my autoimmune thing. But I really

556
00:29:35,400 --> 00:29:38,360
Speaker 2: can't tell you the last time that I ever called

557
00:29:38,400 --> 00:29:42,960
Speaker 2: the doctor because I was sick, like for medication, antibiotics,

558
00:29:43,000 --> 00:29:45,880
Speaker 2: nothing like I never get sick and it's because I'm

559
00:29:45,880 --> 00:29:50,920
Speaker 2: a dirt ball. All right, let's move on to the

560
00:29:51,000 --> 00:29:54,360
Speaker 2: next story. Yeah, this is a scary one.

561
00:29:54,920 --> 00:29:58,440
Speaker 1: So Atene is now paralyzed. After dismissing her symptoms as

562
00:29:58,560 --> 00:30:01,920
Speaker 1: period pain, went actually she was having a spinal stroke.

563
00:30:02,680 --> 00:30:06,280
Speaker 2: Yeah, so a spinal stroke is super rare, so whenever

564
00:30:06,320 --> 00:30:09,680
Speaker 2: you have a blockage to an organ, it could cause

565
00:30:09,720 --> 00:30:14,760
Speaker 2: that particular organ to lose oxygen. So when you have

566
00:30:14,800 --> 00:30:17,520
Speaker 2: a blockage to your coronary artery, you have a heart attack,

567
00:30:17,560 --> 00:30:20,400
Speaker 2: and when you have a blockage to your carotid artery,

568
00:30:20,520 --> 00:30:24,680
Speaker 2: you could have a stroke. This is through having blockage

569
00:30:24,720 --> 00:30:27,320
Speaker 2: to your spinal cord, which can cause a piece of

570
00:30:27,360 --> 00:30:29,760
Speaker 2: your spinal cord to break off too, and it's really

571
00:30:29,760 --> 00:30:32,960
Speaker 2: really rare for it to happen. So it could either

572
00:30:33,000 --> 00:30:36,400
Speaker 2: happen the same exact way that it happens in the brain.

573
00:30:36,480 --> 00:30:40,360
Speaker 2: That it could happen from a clot breaking off and

574
00:30:40,760 --> 00:30:43,520
Speaker 2: causing a lacks of oxygen to the brain, or it

575
00:30:43,560 --> 00:30:48,080
Speaker 2: could happen from something that's causing a bleed to happen,

576
00:30:48,640 --> 00:30:51,800
Speaker 2: like an aneurysm or some of ruptured aneurysm or something

577
00:30:51,840 --> 00:30:55,320
Speaker 2: like that. They didn't say what caused this in this

578
00:30:55,400 --> 00:30:59,920
Speaker 2: girl who's only seventeen years old, but obviously any seven

579
00:31:00,280 --> 00:31:02,920
Speaker 2: year old that's having like severe pain and stuff like

580
00:31:02,960 --> 00:31:05,680
Speaker 2: that and it's around their time a month especially, they're

581
00:31:05,720 --> 00:31:08,200
Speaker 2: going to think that it's from their period. And then

582
00:31:08,240 --> 00:31:11,840
Speaker 2: they quickly realized that she was passing out in a

583
00:31:12,520 --> 00:31:15,080
Speaker 2: tremendous pain, that it was a problem, and found out

584
00:31:15,120 --> 00:31:18,200
Speaker 2: that she was having this really rare thing. So I

585
00:31:18,240 --> 00:31:20,680
Speaker 2: guess now what they need to figure out is like,

586
00:31:21,480 --> 00:31:26,560
Speaker 2: why why would a seventeen year old be having an

587
00:31:26,560 --> 00:31:29,120
Speaker 2: issue like this? It's just so rare and even more

588
00:31:29,200 --> 00:31:30,560
Speaker 2: rare in a kid this age.

589
00:31:30,920 --> 00:31:33,959
Speaker 1: Yeah, I mean I was thinking that I would probably

590
00:31:33,960 --> 00:31:36,320
Speaker 1: dismiss it as period pain too. I mean, you're she

591
00:31:36,440 --> 00:31:39,760
Speaker 1: said she was bleeding two days before Christmas, and then

592
00:31:39,800 --> 00:31:42,840
Speaker 1: she had pain in her back, which like part of

593
00:31:42,920 --> 00:31:46,680
Speaker 1: Maya Demitriosi's was having horrific back pain, So I wouldn't

594
00:31:46,720 --> 00:31:48,400
Speaker 1: have thought anything twice about it, you know.

595
00:31:49,000 --> 00:31:49,760
Speaker 3: But then very.

596
00:31:49,640 --> 00:31:53,880
Speaker 2: Quickly, Yeah, and she started having other issues. And the

597
00:31:54,640 --> 00:31:59,200
Speaker 2: complications with a spinal stroke is that is paralysis, and

598
00:31:59,200 --> 00:32:01,960
Speaker 2: that's what started happening to her that she was she

599
00:32:02,000 --> 00:32:06,320
Speaker 2: became paralyzed because of it. So yeah, I mean all

600
00:32:06,360 --> 00:32:09,160
Speaker 2: of those things that I mentioned that caused it. One

601
00:32:09,200 --> 00:32:13,000
Speaker 2: thing that can cause blood clots in women of this

602
00:32:13,120 --> 00:32:16,080
Speaker 2: age is birth control. I'm wondering if that is a

603
00:32:16,200 --> 00:32:19,720
Speaker 2: potential that she was on something like that, she could

604
00:32:19,760 --> 00:32:23,080
Speaker 2: have had an underlying another. I mean, that's what I

605
00:32:23,120 --> 00:32:25,600
Speaker 2: would think would be the number one in a seventeen

606
00:32:25,640 --> 00:32:29,480
Speaker 2: year old female. But there's definitely other things that could

607
00:32:29,480 --> 00:32:34,840
Speaker 2: happen too that she could I mean having athrosclerosis, which

608
00:32:34,880 --> 00:32:37,400
Speaker 2: is like when the hardening of the arteries is very

609
00:32:37,560 --> 00:32:39,720
Speaker 2: low on my list, and that would be most common

610
00:32:39,720 --> 00:32:42,640
Speaker 2: in an older person, But she could have like a

611
00:32:42,680 --> 00:32:45,640
Speaker 2: clotting disorder of vasculatus. Like they're going to have to

612
00:32:45,640 --> 00:32:49,920
Speaker 2: figure out what caused this because anytime young people, anytime

613
00:32:49,960 --> 00:32:52,440
Speaker 2: anybody gets a blood clot you're like, what's going on

614
00:32:52,520 --> 00:32:55,160
Speaker 2: and causing it because that shouldn't happen. So they need

615
00:32:55,160 --> 00:32:56,920
Speaker 2: to figure that out so it doesn't happen again.

616
00:32:57,560 --> 00:32:59,560
Speaker 1: Yeah, all right, I don't know how I'm going to

617
00:32:59,600 --> 00:33:01,920
Speaker 1: get through this without crying. What was steering up the

618
00:33:02,120 --> 00:33:03,400
Speaker 1: entire time I was writing notes.

619
00:33:03,440 --> 00:33:04,120
Speaker 3: It's so sad.

620
00:33:04,840 --> 00:33:07,680
Speaker 1: So in October twenty twenty, this couple had been who

621
00:33:07,680 --> 00:33:09,800
Speaker 1: had been married for twenty six years, put an offer

622
00:33:09,840 --> 00:33:12,320
Speaker 1: on their dream home, and that day the husband died

623
00:33:12,400 --> 00:33:15,400
Speaker 1: of a heart attack, so the wife ended up taking

624
00:33:15,440 --> 00:33:17,280
Speaker 1: the money they were going to spend on a house,

625
00:33:17,560 --> 00:33:19,800
Speaker 1: bought a cemetery plot for her husband with a bench

626
00:33:19,840 --> 00:33:22,880
Speaker 1: nearby so she could sit with him Since then, she

627
00:33:22,920 --> 00:33:25,360
Speaker 1: has lost her job and been evicted from her house,

628
00:33:25,760 --> 00:33:28,720
Speaker 1: so she started volunteering during the day at a food pantry,

629
00:33:28,760 --> 00:33:30,760
Speaker 1: but she would have to go to the cemetery to

630
00:33:30,840 --> 00:33:31,320
Speaker 1: sleep with.

631
00:33:31,360 --> 00:33:32,640
Speaker 3: Him at night.

632
00:33:33,160 --> 00:33:33,600
Speaker 2: I'm sad.

633
00:33:33,680 --> 00:33:35,640
Speaker 1: Oh my god, I'm just like, I have your hard

634
00:33:35,720 --> 00:33:40,480
Speaker 1: time holding this back. So this is where it gets pleasant.

635
00:33:40,760 --> 00:33:43,680
Speaker 1: In December, a retired police officer learned about what was

636
00:33:43,760 --> 00:33:46,800
Speaker 1: going on, contacted police, and one of the officers there

637
00:33:46,840 --> 00:33:49,320
Speaker 1: has now taken her under his wing and has helped

638
00:33:49,320 --> 00:33:50,400
Speaker 1: her turn her life around.

639
00:33:50,520 --> 00:33:51,160
Speaker 2: That's awesome.

640
00:33:51,480 --> 00:33:52,719
Speaker 3: I'm literally tearing up.

641
00:33:52,800 --> 00:33:52,960
Speaker 1: I know.

642
00:33:53,280 --> 00:33:56,560
Speaker 2: That is so sad. I that's what I think, like

643
00:33:57,360 --> 00:34:00,200
Speaker 2: when I think about my loved ones dying, I have

644
00:34:00,200 --> 00:34:03,160
Speaker 2: a really hard time thinking about them going to like

645
00:34:03,320 --> 00:34:07,160
Speaker 2: a cemetery and not being with me. Yeah you know

646
00:34:07,200 --> 00:34:07,680
Speaker 2: what I mean.

647
00:34:07,920 --> 00:34:08,560
Speaker 3: Yeah, totally.

648
00:34:08,600 --> 00:34:12,480
Speaker 2: It's like it's like a very weird I just I

649
00:34:12,480 --> 00:34:14,799
Speaker 2: don't think i'd like it, just because also if you

650
00:34:14,920 --> 00:34:19,360
Speaker 2: move or anything or something happens, it's just like you

651
00:34:19,400 --> 00:34:22,799
Speaker 2: don't have you can't be with them all the time

652
00:34:22,840 --> 00:34:25,080
Speaker 2: and every single day, which I think that I would

653
00:34:25,120 --> 00:34:29,000
Speaker 2: have a hard time with. Yeah, I agree with this,

654
00:34:29,160 --> 00:34:32,959
Speaker 2: so so I understand that like wanting to be there.

655
00:34:34,440 --> 00:34:37,520
Speaker 2: And I don't know why people would be opposed to

656
00:34:37,640 --> 00:34:40,160
Speaker 2: just keeping the remains at their house. I guess some

657
00:34:40,200 --> 00:34:42,640
Speaker 2: people just you know, people are traditional and they do

658
00:34:42,719 --> 00:34:46,879
Speaker 2: what their families did or whatever. I just personally think

659
00:34:46,920 --> 00:34:49,080
Speaker 2: that I would be better off with that. And I

660
00:34:49,480 --> 00:34:52,239
Speaker 2: because if that happened with me, I would want to

661
00:34:52,239 --> 00:34:55,919
Speaker 2: go I would want to go there all the time. Right.

662
00:34:56,239 --> 00:34:58,480
Speaker 2: It's just it's just like a thing that you would

663
00:34:58,520 --> 00:35:01,200
Speaker 2: want to do, and since I don't like to leave

664
00:35:01,239 --> 00:35:05,840
Speaker 2: the house, I would want them with me. But yeah,

665
00:35:05,960 --> 00:35:08,160
Speaker 2: I mean, it's it is a really sad story, and

666
00:35:08,239 --> 00:35:09,839
Speaker 2: I'm glad though, like.

667
00:35:11,360 --> 00:35:11,759
Speaker 1: All of it.

668
00:35:12,320 --> 00:35:16,080
Speaker 2: I'm really glad that's that people stepped in and were

669
00:35:16,120 --> 00:35:17,680
Speaker 2: able to help her like that. You know.

670
00:35:18,360 --> 00:35:20,719
Speaker 1: I mean this guy, I'm gonna say his name because

671
00:35:20,719 --> 00:35:24,680
Speaker 1: he is an Angel officer, Jamie Pastor Ello. So where

672
00:35:24,760 --> 00:35:26,799
Speaker 1: is this sat in the world in Syracuse?

673
00:35:27,000 --> 00:35:27,360
Speaker 2: Okay?

674
00:35:27,560 --> 00:35:30,560
Speaker 1: So he got her situated with somewhere to stay, meaning

675
00:35:30,600 --> 00:35:32,480
Speaker 1: like he was paying for hotel rooms for her to

676
00:35:32,520 --> 00:35:34,360
Speaker 1: sleep at and stuff, and then got her situated with

677
00:35:34,440 --> 00:35:37,360
Speaker 1: other housing and put her in connection with this company

678
00:35:37,719 --> 00:35:40,800
Speaker 1: that rents out tiny homes at affordable prices. For people

679
00:35:40,840 --> 00:35:42,759
Speaker 1: in need, and now one of those has opened up,

680
00:35:42,800 --> 00:35:44,200
Speaker 1: so she now has somewhere to live.

681
00:35:44,280 --> 00:35:47,680
Speaker 2: Dude, that's like, that's like, that's like such a good

682
00:35:47,760 --> 00:35:51,399
Speaker 2: human behavior. I know the whole time is this guy,

683
00:35:51,440 --> 00:35:53,400
Speaker 2: he's like such a decent human being.

684
00:35:53,640 --> 00:35:55,680
Speaker 1: I don't know if he's married or anything, but based

685
00:35:55,719 --> 00:35:58,600
Speaker 1: on the pictures and say, single ladies, if he is single,

686
00:35:59,280 --> 00:35:59,839
Speaker 1: you should look.

687
00:36:00,719 --> 00:36:03,160
Speaker 2: And if he's not, and if he's not, then his

688
00:36:03,239 --> 00:36:05,480
Speaker 2: wife is very lucky because he's just like such a

689
00:36:05,480 --> 00:36:06,480
Speaker 2: decent human.

690
00:36:06,480 --> 00:36:08,719
Speaker 3: If he's not single, please be respectful.

691
00:36:09,360 --> 00:36:14,439
Speaker 2: But if he's single, then we will be your matchmakers.

692
00:36:14,480 --> 00:36:17,799
Speaker 2: Call us and we will. There's there's endless supplies of

693
00:36:17,880 --> 00:36:23,520
Speaker 2: women on Mother Knows Death, uh listeners and followers. So

694
00:36:24,640 --> 00:36:26,959
Speaker 2: we'll hook it. We'll hook it up because this guy

695
00:36:27,560 --> 00:36:30,520
Speaker 2: he needs it. Dude, this he might need it or

696
00:36:30,520 --> 00:36:32,240
Speaker 2: if his wife sucks that I'm just joking.

697
00:36:32,440 --> 00:36:35,560
Speaker 1: This was totally a story I normally would have cried

698
00:36:35,640 --> 00:36:40,000
Speaker 1: over with like add pregnancy hormones in the mix, forget it.

699
00:36:40,040 --> 00:36:42,360
Speaker 1: I was like writing my notes and I'm like, I

700
00:36:42,360 --> 00:36:44,880
Speaker 1: don't know how I'm saying this later without crying.

701
00:36:45,160 --> 00:36:47,400
Speaker 2: Yeah, And it's sad because when you read the article.

702
00:36:47,440 --> 00:36:49,360
Speaker 2: You could see the lady and stuff and you're just like,

703
00:36:49,440 --> 00:36:52,640
Speaker 2: oh my god, this is terrible. I try not to

704
00:36:52,719 --> 00:36:55,880
Speaker 2: let my brain go there. I try not too terrible

705
00:36:56,040 --> 00:36:57,320
Speaker 2: that I can't.

706
00:36:57,360 --> 00:36:59,799
Speaker 1: It just thinks bakes me very sad and now that

707
00:36:59,880 --> 00:37:02,880
Speaker 1: I have no control over my emotions forget.

708
00:37:04,560 --> 00:37:05,280
Speaker 2: All right, guys.

709
00:37:05,719 --> 00:37:08,880
Speaker 1: We have our Valentine's Day merch up for sale on

710
00:37:08,960 --> 00:37:12,440
Speaker 1: thedoormattershop dot com. And we have our tickets for the

711
00:37:12,440 --> 00:37:15,160
Speaker 1: City vineyardsow in New York City for sale for February

712
00:37:15,239 --> 00:37:17,799
Speaker 1: twenty first you can head over to the grossroom or

713
00:37:17,840 --> 00:37:22,440
Speaker 1: the link in the episode description to purchase those. We

714
00:37:22,480 --> 00:37:24,799
Speaker 1: have our YouTube live tomorrow where we're gonna be talking

715
00:37:24,800 --> 00:37:28,279
Speaker 1: about all our fun topics and chatting with everybody. And

716
00:37:28,360 --> 00:37:32,480
Speaker 1: I feel like that's all the announcements, right, yep, all right, guys,

717
00:37:32,520 --> 00:37:34,839
Speaker 1: thank you for another great week of episodes.

718
00:37:34,880 --> 00:37:35,959
Speaker 3: We will see you next week.

719
00:37:36,080 --> 00:37:42,400
Speaker 2: Say ya, thank you for listening to Mother nos Death.

720
00:37:43,120 --> 00:37:46,800
Speaker 2: As a reminder, my training is as a pathologist assistant.

721
00:37:47,600 --> 00:37:51,040
Speaker 2: I have a master's level education and specialize in anatomy

722
00:37:51,080 --> 00:37:54,719
Speaker 2: and pathology education. I am not a doctor and I

723
00:37:54,719 --> 00:37:58,560
Speaker 2: have not diagnosed or treated anyone dead or alive without

724
00:37:58,560 --> 00:38:03,960
Speaker 2: the assistance of a license medical doctor. This show, my website,

725
00:38:04,080 --> 00:38:07,440
Speaker 2: and social media accounts are designed to educate and inform

726
00:38:07,480 --> 00:38:11,719
Speaker 2: people based on my experience working in pathology, so they

727
00:38:11,760 --> 00:38:15,160
Speaker 2: can make healthier decisions regarding their life and well being.

728
00:38:16,280 --> 00:38:19,160
Speaker 2: Always remember that science is changing every day and the

729
00:38:19,200 --> 00:38:22,480
Speaker 2: opinions expressed in this episode are based on my knowledge

730
00:38:22,520 --> 00:38:26,160
Speaker 2: of those subjects at the time of publication. If you

731
00:38:26,239 --> 00:38:30,080
Speaker 2: are having a medical problem, have a medical question, or

732
00:38:30,280 --> 00:38:34,520
Speaker 2: having a medical emergency, please contact your physician or visit

733
00:38:34,560 --> 00:38:39,880
Speaker 2: an urgent care center, emergency room, or hospital. Please rate, review,

734
00:38:40,000 --> 00:38:44,400
Speaker 2: and subscribe to Mother Knows Death on Apple, Spotify, YouTube,

735
00:38:44,640 --> 00:38:52,480
Speaker 2: or anywhere you get podcasts. Thanks