1
00:00:08,039 --> 00:00:21,079
Speaker 1: Mother Knows Death starring Nicole and Jemmy and Maria qk Hi.

2
00:00:21,120 --> 00:00:24,440
Speaker 2: Everyone welcome The Mother Knows Death. On today's episode, we

3
00:00:24,560 --> 00:00:27,520
Speaker 2: have an update from a story we brought you on

4
00:00:27,520 --> 00:00:30,040
Speaker 2: one of the very first episodes of Mother Knows Death,

5
00:00:30,120 --> 00:00:33,280
Speaker 2: involving the son of a legendary TV agent who was

6
00:00:33,320 --> 00:00:36,919
Speaker 2: accused of killing and dismembering his wife and her parents.

7
00:00:37,560 --> 00:00:39,519
Speaker 2: We are also going to talk about the dangers of

8
00:00:39,560 --> 00:00:43,240
Speaker 2: digging holes at the beach, a kid who got stuck

9
00:00:43,280 --> 00:00:46,240
Speaker 2: in a claw machine, a case of the Black plague

10
00:00:46,360 --> 00:00:49,440
Speaker 2: right here in the United States, a teddy bear made

11
00:00:49,440 --> 00:00:52,800
Speaker 2: of human skin, and one of life's biggest mysteries, does

12
00:00:52,920 --> 00:00:56,760
Speaker 2: cheese give you nightmares? All that and more on today's episode,

13
00:00:56,840 --> 00:00:59,920
Speaker 2: Let's get started with this Sam Haskell Junior case.

14
00:01:00,640 --> 00:01:02,960
Speaker 1: I honestly can't believe we have an update on a

15
00:01:03,000 --> 00:01:05,920
Speaker 1: case we covered almost two years ago that never happens

16
00:01:05,959 --> 00:01:09,160
Speaker 1: to us. Yeah, right, So, Sam Haskell Junior. He is

17
00:01:09,160 --> 00:01:12,560
Speaker 1: the son of Hollywood agent Sam Haskell. Back in November

18
00:01:12,560 --> 00:01:14,880
Speaker 1: twenty twenty three, he had been arrested for killing his

19
00:01:14,920 --> 00:01:17,360
Speaker 1: wife and her parents, dismembering them and throwing them in

20
00:01:17,440 --> 00:01:21,039
Speaker 1: trash bags. If everybody recalls he had hired people to

21
00:01:21,200 --> 00:01:23,200
Speaker 1: throw the trash bags out for him and said they

22
00:01:23,240 --> 00:01:25,560
Speaker 1: were filled with rocks, and then when they were dealing

23
00:01:25,560 --> 00:01:27,880
Speaker 1: with them, they noticed the bags were a little squishy,

24
00:01:28,319 --> 00:01:30,720
Speaker 1: so they went in to look in them and shockingly

25
00:01:30,800 --> 00:01:34,080
Speaker 1: found the remains of a human. So they called police,

26
00:01:34,120 --> 00:01:36,800
Speaker 1: he got arrested, and now he has killed himself in

27
00:01:36,800 --> 00:01:38,520
Speaker 1: prison by slitting his wrists.

28
00:01:39,400 --> 00:01:42,520
Speaker 2: So we have to mention that the human was his

29
00:01:42,560 --> 00:01:46,800
Speaker 2: wife's torso and her parents are also missing, but their

30
00:01:47,160 --> 00:01:50,280
Speaker 2: pieces or their bodies have never been found, which is

31
00:01:50,320 --> 00:01:53,360
Speaker 2: so disturbing. I guess he was supposed to be having

32
00:01:53,440 --> 00:01:56,680
Speaker 2: a hearing in the next couple of weeks, and they

33
00:01:56,720 --> 00:01:59,760
Speaker 2: are reporting that he killed himself in prison by slitting

34
00:01:59,760 --> 00:02:00,480
Speaker 2: his risks.

35
00:02:01,280 --> 00:02:03,800
Speaker 1: I was reading too that he had formerly been on

36
00:02:03,920 --> 00:02:07,120
Speaker 1: suicide watch and at this time was not. I wonder

37
00:02:07,400 --> 00:02:10,400
Speaker 1: just how that works, like when you determine somebody's not

38
00:02:10,480 --> 00:02:12,200
Speaker 1: going to do it or not. I mean, he was

39
00:02:12,240 --> 00:02:14,720
Speaker 1: only a couple of days away from this preliminary hearing

40
00:02:14,800 --> 00:02:17,120
Speaker 1: to decide if he was going to trial or not.

41
00:02:17,639 --> 00:02:21,000
Speaker 1: You would think around big hearings, especially somebody that had

42
00:02:21,040 --> 00:02:23,280
Speaker 1: a history of it, they'd be watching a little more.

43
00:02:23,960 --> 00:02:28,520
Speaker 2: I guess they have psychological analysis to see where they're at.

44
00:02:28,639 --> 00:02:33,119
Speaker 2: And you know, obviously this kid is also some kind

45
00:02:33,120 --> 00:02:36,280
Speaker 2: of like rich kid brat, right, So going from having

46
00:02:36,360 --> 00:02:40,760
Speaker 2: a life of extreme privilege to going in prison could

47
00:02:40,760 --> 00:02:44,880
Speaker 2: make anyone suicidal, right, So maybe that's what they thought.

48
00:02:44,919 --> 00:02:48,040
Speaker 2: It was just an initial adjustment period or something. But

49
00:02:48,800 --> 00:02:52,359
Speaker 2: I mean prisoners are always caught with ships or shanks,

50
00:02:52,360 --> 00:02:57,560
Speaker 2: which are homemade prison sharp weapons essentially, so it would

51
00:02:57,560 --> 00:03:01,240
Speaker 2: be very easy to slice the race artery and you

52
00:03:01,280 --> 00:03:04,320
Speaker 2: could bleed out from that. It is a slower death

53
00:03:04,400 --> 00:03:07,160
Speaker 2: then let's say if you cut the carotid artery up

54
00:03:07,160 --> 00:03:10,720
Speaker 2: in the neck. But for sure, I mean some of

55
00:03:10,720 --> 00:03:15,600
Speaker 2: these prisoners sharpened down toothbrushes and it's just as sharp

56
00:03:16,320 --> 00:03:19,360
Speaker 2: as a knife. It could cut in sever an artery.

57
00:03:19,520 --> 00:03:23,320
Speaker 2: And if he wasn't found in a timely fashion and

58
00:03:23,360 --> 00:03:25,160
Speaker 2: he did it in a certain kind of way, he

59
00:03:25,280 --> 00:03:28,280
Speaker 2: sure could have bled to death right there in his

60
00:03:28,320 --> 00:03:28,960
Speaker 2: prison cell.

61
00:03:30,080 --> 00:03:32,760
Speaker 1: Yeah. I could totally see that happening. And you know,

62
00:03:32,880 --> 00:03:35,080
Speaker 1: they said they found a suicide note at the scene

63
00:03:35,080 --> 00:03:37,000
Speaker 1: where he said he was going to miss his three

64
00:03:37,240 --> 00:03:40,720
Speaker 1: little best friends who were his children. But TMZ had

65
00:03:40,760 --> 00:03:44,000
Speaker 1: reported that I guess around the time of the murders,

66
00:03:44,000 --> 00:03:46,320
Speaker 1: maybe just before or after, he had bought a one

67
00:03:46,360 --> 00:03:49,440
Speaker 1: way plane ticket to Japan with his girlfriend, so it

68
00:03:49,480 --> 00:03:51,600
Speaker 1: looks like he was going to be leaving them anyway,

69
00:03:52,400 --> 00:03:52,960
Speaker 1: So I don't know.

70
00:03:53,240 --> 00:03:57,640
Speaker 2: And also, yeah, and why would you kill their only

71
00:03:57,880 --> 00:04:00,480
Speaker 2: caregivers and then put the last one in prison? So

72
00:04:00,520 --> 00:04:04,560
Speaker 2: he killed his wife, his in laws that lived with him,

73
00:04:04,600 --> 00:04:07,040
Speaker 2: that also took care of the children, and then he

74
00:04:07,120 --> 00:04:10,280
Speaker 2: was in jail. So who even knows who they're living

75
00:04:10,320 --> 00:04:13,720
Speaker 2: with right now? But clearly, I mean, this guy was

76
00:04:13,840 --> 00:04:17,520
Speaker 2: off big time, so who knows what was going on there,

77
00:04:17,560 --> 00:04:19,840
Speaker 2: But that's it, end the story. I guess.

78
00:04:20,120 --> 00:04:23,599
Speaker 1: Do you think people should rethink rename or naming their

79
00:04:23,680 --> 00:04:27,040
Speaker 1: children after themselves when you know this guy was a

80
00:04:27,080 --> 00:04:30,799
Speaker 1: super powerful Hollywood agent and now has the same name

81
00:04:31,279 --> 00:04:32,880
Speaker 1: as his son who is a killer.

82
00:04:33,360 --> 00:04:35,760
Speaker 2: Yeah, I never really thought about that, but that is

83
00:04:35,800 --> 00:04:40,120
Speaker 2: definitely something to consider because obviously, every time a person

84
00:04:40,160 --> 00:04:42,000
Speaker 2: as a kid, they think that their kid is going

85
00:04:42,080 --> 00:04:44,280
Speaker 2: to turn out more wonderful than them, right, But that

86
00:04:44,320 --> 00:04:48,200
Speaker 2: doesn't always happen, And in this case, he's definitely m

87
00:04:48,400 --> 00:04:51,880
Speaker 2: tarnishing the family name for sure. But I mean, this

88
00:04:51,960 --> 00:04:56,640
Speaker 2: guy's older for sure, and obviously the children. I mean,

89
00:04:56,680 --> 00:05:00,960
Speaker 2: who knows what his children's names are as well. Hopefully

90
00:05:01,279 --> 00:05:04,240
Speaker 2: one of his children doesn't have his name getting carried

91
00:05:04,279 --> 00:05:07,160
Speaker 2: on because it's not like Joe Smith or something. It's

92
00:05:07,160 --> 00:05:10,599
Speaker 2: a pretty recognizable name, especially in the California area.

93
00:05:11,279 --> 00:05:13,760
Speaker 1: No, totally, and this place in the Matt Murphy's theory

94
00:05:13,800 --> 00:05:18,239
Speaker 1: that killers are descendants of or they're typically spoiled brats,

95
00:05:18,360 --> 00:05:21,080
Speaker 1: These rich kids that just grow up and don't get

96
00:05:21,120 --> 00:05:23,039
Speaker 1: their way in the world. Isn't what they thought it

97
00:05:23,160 --> 00:05:24,920
Speaker 1: was when they were little kids. So I think it's

98
00:05:24,960 --> 00:05:28,160
Speaker 1: really interesting we're seeing this high profile example of that.

99
00:05:28,880 --> 00:05:31,719
Speaker 2: Yeah, it's it's really a shame though, I mean, just

100
00:05:31,800 --> 00:05:35,440
Speaker 2: thinking about children having to go through something like that

101
00:05:35,560 --> 00:05:39,400
Speaker 2: is just terrible. I mean, and eventually, and they're little now,

102
00:05:39,440 --> 00:05:41,520
Speaker 2: but eventually they're going to grow up and find out

103
00:05:41,560 --> 00:05:44,919
Speaker 2: what happened. And it's just it's the same way I

104
00:05:44,960 --> 00:05:49,960
Speaker 2: feel about like oj and Nicole Brown symptoms the little kids,

105
00:05:50,000 --> 00:05:53,120
Speaker 2: you know, like they they were little children when that happened,

106
00:05:53,160 --> 00:05:57,880
Speaker 2: and how different and terrible their life would be growing

107
00:05:58,000 --> 00:06:00,480
Speaker 2: up being in the center of something like that.

108
00:06:01,240 --> 00:06:04,120
Speaker 1: No, totally, because it's like, not only is your mother dead,

109
00:06:04,160 --> 00:06:06,520
Speaker 1: but your dad's in jail. Well, I guess he got

110
00:06:06,560 --> 00:06:10,240
Speaker 1: out and he was acquitted obviously, but he's accused of

111
00:06:10,279 --> 00:06:12,599
Speaker 1: this horrific crime which we all know we did it,

112
00:06:13,839 --> 00:06:16,040
Speaker 1: and then you have to deal with the most famous

113
00:06:16,120 --> 00:06:19,359
Speaker 1: trial of all time, and then the legacy of it

114
00:06:19,520 --> 00:06:22,400
Speaker 1: just never goes away. Yeah. I would have to change

115
00:06:22,400 --> 00:06:24,800
Speaker 1: my name to try to not be associated with it

116
00:06:24,839 --> 00:06:25,160
Speaker 1: at all.

117
00:06:25,360 --> 00:06:26,159
Speaker 2: Yeah, exactly.

118
00:06:27,200 --> 00:06:29,920
Speaker 1: Okay, let's get into this second story. So last week,

119
00:06:29,960 --> 00:06:32,760
Speaker 1: a teen was on vacation in Italy with his parents

120
00:06:32,800 --> 00:06:36,000
Speaker 1: and three younger siblings. So at the beach, the teenager

121
00:06:36,160 --> 00:06:38,640
Speaker 1: dug a five foot tunnel in the sand. He went

122
00:06:38,720 --> 00:06:41,760
Speaker 1: to go climb under it, and then unfortunately it caved

123
00:06:41,760 --> 00:06:43,360
Speaker 1: in and trapped him beneath the sand.

124
00:06:44,279 --> 00:06:46,359
Speaker 2: I feel like we had a story like this last

125
00:06:46,440 --> 00:06:48,599
Speaker 2: year and the year before that. You always hear of

126
00:06:48,640 --> 00:06:52,479
Speaker 2: these horrible stories happening on the beach like this, and

127
00:06:52,960 --> 00:06:56,760
Speaker 2: a lot of times people don't realize. Essentially, if you're

128
00:06:56,760 --> 00:06:59,719
Speaker 2: digging a hole in the sand, you're digging a ditch,

129
00:07:00,160 --> 00:07:02,320
Speaker 2: and people that do that for a living know that

130
00:07:02,440 --> 00:07:05,360
Speaker 2: the ditch cannot be deeper than your shoulders because if

131
00:07:05,360 --> 00:07:08,680
Speaker 2: it collapses, you'll die. There's no way that you're going

132
00:07:08,720 --> 00:07:10,800
Speaker 2: to be able to get out of that, and the

133
00:07:10,840 --> 00:07:15,640
Speaker 2: sand will just compress your chest and cause asphyxia. We

134
00:07:15,720 --> 00:07:19,400
Speaker 2: have a terrible case in the grossroom, actually called buried alive,

135
00:07:19,600 --> 00:07:23,720
Speaker 2: and in that case, the autopsy showed that the back

136
00:07:23,800 --> 00:07:26,400
Speaker 2: of the mouth and the esophagus as well as the

137
00:07:26,440 --> 00:07:30,000
Speaker 2: trachea which is the windpipe, was impacted with sand so much.

138
00:07:30,000 --> 00:07:32,920
Speaker 2: And it happened in a person that ended up digging

139
00:07:32,960 --> 00:07:37,560
Speaker 2: a trench that was too deep and was buried alive essentially,

140
00:07:37,680 --> 00:07:41,120
Speaker 2: and you just would not believe how much sand was

141
00:07:41,160 --> 00:07:43,520
Speaker 2: in there. And it's just so disturbing to see that

142
00:07:43,520 --> 00:07:47,080
Speaker 2: that guy was under the sand and trying to breathe,

143
00:07:47,120 --> 00:07:49,480
Speaker 2: and as he was trying to breathe, the sand just

144
00:07:49,560 --> 00:07:55,160
Speaker 2: kept impacting within his throat and his esophagus. It's just super,

145
00:07:55,240 --> 00:08:00,240
Speaker 2: super disturbing. So I hate to hear this happen with

146
00:08:00,280 --> 00:08:03,760
Speaker 2: any parents. The dad was taking a nap under an

147
00:08:03,880 --> 00:08:07,600
Speaker 2: umbrella and woke up and didn't see the seventeen year old,

148
00:08:08,160 --> 00:08:11,640
Speaker 2: so by the time anyone realized it happened. Because obviously

149
00:08:12,120 --> 00:08:16,360
Speaker 2: the article kind of contradicts itself because some people say

150
00:08:17,000 --> 00:08:19,880
Speaker 2: some people in the article were interviewed and said it

151
00:08:19,960 --> 00:08:22,720
Speaker 2: was so quiet nobody even knew it happened until it

152
00:08:22,800 --> 00:08:27,040
Speaker 2: was too late. And then other people were saying that

153
00:08:27,440 --> 00:08:31,960
Speaker 2: they heard him screaming under the sand, which I'm not

154
00:08:32,120 --> 00:08:35,840
Speaker 2: exactly sure about that, just because if your mouth is

155
00:08:35,920 --> 00:08:39,040
Speaker 2: filled with sand as you're trying to breathe, I mean,

156
00:08:39,080 --> 00:08:41,280
Speaker 2: I guess you could make some kind of a noise,

157
00:08:41,360 --> 00:08:44,120
Speaker 2: but it definitely might not even be super loud, just

158
00:08:44,200 --> 00:08:47,920
Speaker 2: because your airway is literally blocked with sand.

159
00:08:48,080 --> 00:08:49,679
Speaker 1: Well that's what I was going to ask you. So

160
00:08:49,880 --> 00:08:52,440
Speaker 1: if this happens to you, do you die immediately or

161
00:08:52,480 --> 00:08:54,000
Speaker 1: do you have a couple of minutes?

162
00:08:54,320 --> 00:08:57,920
Speaker 2: Well, you have some time for sure, as your airway

163
00:08:58,000 --> 00:09:03,640
Speaker 2: is blocked off. I mean clearly would probably pass out first.

164
00:09:03,840 --> 00:09:06,120
Speaker 2: Just having a lack of oxygen to your brain for

165
00:09:06,160 --> 00:09:10,040
Speaker 2: only a few seconds could really just make you become unconscious.

166
00:09:10,080 --> 00:09:12,600
Speaker 2: But then if you don't have that oxygen after that,

167
00:09:12,640 --> 00:09:16,680
Speaker 2: then that would just cause you to die. And I

168
00:09:16,840 --> 00:09:19,320
Speaker 2: just feel so terrible for this dad. He said, he

169
00:09:19,320 --> 00:09:23,360
Speaker 2: grabs some local lifeguards just frantically searching for your child

170
00:09:24,320 --> 00:09:27,079
Speaker 2: underneath of this pile of sand, only to pull them

171
00:09:27,080 --> 00:09:29,440
Speaker 2: out and they're dead and there's no way to revive them.

172
00:09:29,520 --> 00:09:34,720
Speaker 2: It's just such a freak accident. And I mean, listen,

173
00:09:34,840 --> 00:09:36,959
Speaker 2: every single time I go to the beach with my kids,

174
00:09:37,000 --> 00:09:38,920
Speaker 2: the first thing they want to do is dig a hole.

175
00:09:39,240 --> 00:09:42,600
Speaker 2: It's just something that kids want to do. It's just

176
00:09:42,679 --> 00:09:45,720
Speaker 2: a natural thing. And not only that you need to

177
00:09:45,800 --> 00:09:50,360
Speaker 2: obviously teach them about cases like this, but also if

178
00:09:50,480 --> 00:09:53,600
Speaker 2: kids build a big hole in the sand, and this

179
00:09:53,920 --> 00:09:56,200
Speaker 2: exact thing happened to us that the kids when we

180
00:09:56,200 --> 00:09:59,440
Speaker 2: were in Bermuda, the kids made this huge hole and

181
00:09:59,480 --> 00:10:02,360
Speaker 2: then we were and ready to leave and they're like, Okay,

182
00:10:02,520 --> 00:10:04,680
Speaker 2: let's go, and I'm like, no, you need to fill

183
00:10:04,720 --> 00:10:07,560
Speaker 2: this hole up because an old person could fall in

184
00:10:07,640 --> 00:10:10,400
Speaker 2: the hole and get really hurt. Not even an old person,

185
00:10:10,480 --> 00:10:11,040
Speaker 2: any person.

186
00:10:11,160 --> 00:10:11,600
Speaker 1: Yeah.

187
00:10:11,840 --> 00:10:15,559
Speaker 2: So, I mean, there's lots of dangers on the beach

188
00:10:15,600 --> 00:10:18,800
Speaker 2: aside from the most common thing that people think of

189
00:10:18,880 --> 00:10:22,000
Speaker 2: his drowning. But we've talked about on this program people

190
00:10:22,040 --> 00:10:25,200
Speaker 2: getting impaled with beach umbrellas. There's like all sorts of

191
00:10:25,760 --> 00:10:27,400
Speaker 2: freak accidents that could happen.

192
00:10:28,240 --> 00:10:30,240
Speaker 1: Yeah. I feel like the sand story is just one

193
00:10:30,240 --> 00:10:32,680
Speaker 1: of those ones we have every single summer. We just

194
00:10:32,679 --> 00:10:36,200
Speaker 1: see all different circumstances with it. And obviously it's not

195
00:10:36,320 --> 00:10:39,640
Speaker 1: only relevant to really little kids. This kid was seventeen.

196
00:10:39,679 --> 00:10:41,520
Speaker 1: You could probably argue he was the size of a

197
00:10:41,600 --> 00:10:42,400
Speaker 1: full blown adult.

198
00:10:42,720 --> 00:10:43,520
Speaker 2: Yes, exactly.

199
00:10:43,600 --> 00:10:47,480
Speaker 1: It could really happen to anybody. Okay, in Ohio, the

200
00:10:47,559 --> 00:10:50,559
Speaker 1: cutest little boy ever goes up to this claw machine

201
00:10:50,640 --> 00:10:53,400
Speaker 1: and starts climbing through the prize chute, got stuck and

202
00:10:53,440 --> 00:10:56,240
Speaker 1: then had to be rescued by emergency workers. So were

203
00:10:56,280 --> 00:10:58,480
Speaker 1: you watching this video where you see all these other

204
00:10:58,600 --> 00:11:01,200
Speaker 1: adults walking by see what's going on and just not

205
00:11:01,320 --> 00:11:02,440
Speaker 1: doing anything to help.

206
00:11:02,760 --> 00:11:05,560
Speaker 2: Yeah, I mean, that's that's the world we live in

207
00:11:05,640 --> 00:11:08,880
Speaker 2: right now. One time, I don't know if you remember this,

208
00:11:09,120 --> 00:11:13,040
Speaker 2: but Luchia was really little, she was like three years old,

209
00:11:13,679 --> 00:11:16,400
Speaker 2: and I was at We were all at this hair

210
00:11:16,440 --> 00:11:19,640
Speaker 2: salon in Philly on Frankfort Avenue, which is a pretty

211
00:11:19,679 --> 00:11:23,560
Speaker 2: busy street, getting our hair cut, and I was getting

212
00:11:23,640 --> 00:11:26,560
Speaker 2: my hair shampooed or something, and I had my eyes

213
00:11:26,640 --> 00:11:29,320
Speaker 2: off of them for a second. And this is one

214
00:11:29,400 --> 00:11:32,319
Speaker 2: hundred percent my fault, just assuming that since they were

215
00:11:32,360 --> 00:11:35,720
Speaker 2: sitting right next to me, that they were safe, and

216
00:11:35,840 --> 00:11:39,560
Speaker 2: Luchia ended up running out of the out of the

217
00:11:39,600 --> 00:11:44,160
Speaker 2: hair salon onto the street right so, and this all

218
00:11:44,240 --> 00:11:48,440
Speaker 2: happened within seconds. So I ran after her, and I'm

219
00:11:48,480 --> 00:11:52,880
Speaker 2: like chasing after her. She's in my eyesight. And Frankfort

220
00:11:52,880 --> 00:11:56,080
Speaker 2: Avenue is a busy street where there's multiple stores and

221
00:11:56,120 --> 00:11:59,720
Speaker 2: coffee shops and people walking around, and this little two

222
00:11:59,840 --> 00:12:03,320
Speaker 2: or three year old kid is running up the sidewalk

223
00:12:03,400 --> 00:12:06,680
Speaker 2: all by herself with not an adult right near her,

224
00:12:06,760 --> 00:12:10,600
Speaker 2: and not one person was like, Oh, let me see

225
00:12:10,600 --> 00:12:13,280
Speaker 2: where this kid's going. She ran into a cross street,

226
00:12:13,320 --> 00:12:17,240
Speaker 2: Like thank god, nothing happened. But I just thought it

227
00:12:17,320 --> 00:12:20,439
Speaker 2: was because she was in my eyesight, but I wasn't

228
00:12:20,480 --> 00:12:23,200
Speaker 2: close enough to get her. I mean, she just was

229
00:12:23,240 --> 00:12:25,319
Speaker 2: like that kind of kid that ran away so fast,

230
00:12:25,800 --> 00:12:28,320
Speaker 2: and I just I just wanted to say to people,

231
00:12:28,400 --> 00:12:30,240
Speaker 2: like you didn't think it was weird that this little

232
00:12:30,360 --> 00:12:32,560
Speaker 2: kid was like running into the street. You're just like,

233
00:12:32,679 --> 00:12:36,320
Speaker 2: not gonna I don't know. I just think it's a

234
00:12:36,360 --> 00:12:41,520
Speaker 2: responsibility that you have as a person. Sometimes we're in public,

235
00:12:41,559 --> 00:12:43,080
Speaker 2: like we might be on the boardwalk, and then you

236
00:12:43,080 --> 00:12:45,720
Speaker 2: see a little kid that's all by themselves that shouldn't

237
00:12:45,760 --> 00:12:47,920
Speaker 2: be all by themselves, they're too little, and then you

238
00:12:48,040 --> 00:12:50,000
Speaker 2: just kind of start looking around and looking for their parents,

239
00:12:50,040 --> 00:12:52,160
Speaker 2: because kids get lost in wander all the time.

240
00:12:52,559 --> 00:12:54,920
Speaker 1: Listen, I agree with you one hundred percent, because that

241
00:12:55,040 --> 00:12:57,640
Speaker 1: did happen to me on the boardwalk one time. It

242
00:12:57,679 --> 00:12:59,600
Speaker 1: was early in the morning. I went we were staying

243
00:12:59,600 --> 00:13:02,200
Speaker 1: down the show for the weekend. I went to get

244
00:13:02,240 --> 00:13:05,559
Speaker 1: a coffee, and I see this little boy wandering by himself,

245
00:13:05,559 --> 00:13:08,720
Speaker 1: and there's no adult anywhere around. So of course, I'm like,

246
00:13:08,840 --> 00:13:11,200
Speaker 1: I have to do the right thing, and Ricky's like,

247
00:13:11,280 --> 00:13:13,680
Speaker 1: mind your business, this isn't our problem, and I'm like,

248
00:13:14,320 --> 00:13:17,320
Speaker 1: this is one of those typical like women have like

249
00:13:17,480 --> 00:13:20,120
Speaker 1: motherly instincts, where if you're just a good person, you're

250
00:13:20,160 --> 00:13:22,120
Speaker 1: gonna jump in and go help this kid. I'm like,

251
00:13:22,160 --> 00:13:24,960
Speaker 1: when you have a kid, you'll understand how important it

252
00:13:25,000 --> 00:13:27,520
Speaker 1: is to help a wandering little kid, because if your

253
00:13:27,640 --> 00:13:30,480
Speaker 1: kid was aimlessly wandering and lost from you, you would

254
00:13:30,520 --> 00:13:32,920
Speaker 1: wonder why every other adult didn't help that kid too.

255
00:13:33,760 --> 00:13:36,760
Speaker 2: It's just a bizarre thing to think about looking at

256
00:13:36,760 --> 00:13:39,600
Speaker 2: a kid doing something like that, even if you didn't

257
00:13:39,640 --> 00:13:41,760
Speaker 2: want to get involved, Like wouldn't you look around and

258
00:13:41,800 --> 00:13:44,120
Speaker 2: be like, okay, where's their parent? And then clearly you

259
00:13:44,160 --> 00:13:47,400
Speaker 2: didn't see anybody, And like I said, like, kids wander

260
00:13:47,440 --> 00:13:51,080
Speaker 2: all the time, and just I was in an arcade

261
00:13:51,080 --> 00:13:53,280
Speaker 2: a couple of weeks ago, and it's like, I don't

262
00:13:53,320 --> 00:13:56,000
Speaker 2: know that I would have thought that my kid would

263
00:13:56,080 --> 00:13:59,160
Speaker 2: do something like that. So this is just happens all

264
00:13:59,200 --> 00:14:03,680
Speaker 2: the time, that kids getting crazy situations. And I definitely

265
00:14:03,760 --> 00:14:05,839
Speaker 2: sent this story to Gabe because I was like, oh,

266
00:14:05,880 --> 00:14:08,840
Speaker 2: here's another thing. The firefighters had to come rescue this

267
00:14:08,960 --> 00:14:11,360
Speaker 2: kid out of a claw machine and it's kind of

268
00:14:11,840 --> 00:14:14,560
Speaker 2: funny just to see his head like peking up through

269
00:14:14,559 --> 00:14:17,600
Speaker 2: the stuffed animals in the machine. But at the same time,

270
00:14:18,400 --> 00:14:21,040
Speaker 2: he wedged his way into the chute, which could have

271
00:14:21,120 --> 00:14:23,440
Speaker 2: been a smaller size, and he really could have gotten

272
00:14:23,480 --> 00:14:27,560
Speaker 2: stuck and had a positional asphyxia or something that he

273
00:14:27,720 --> 00:14:30,800
Speaker 2: wasn't able to get out and was having a difficult

274
00:14:30,840 --> 00:14:34,400
Speaker 2: time breathing. So luckily this ends up being kind of

275
00:14:34,400 --> 00:14:36,720
Speaker 2: a funny story that this kid can tell when he

276
00:14:36,720 --> 00:14:41,800
Speaker 2: gets older. But anytime the police or fire have to

277
00:14:41,800 --> 00:14:44,160
Speaker 2: get called to get your kids stuck out of a situation,

278
00:14:44,320 --> 00:14:47,600
Speaker 2: it's scary for the parents at the time, And luckily

279
00:14:47,640 --> 00:14:48,880
Speaker 2: it just all worked out well.

280
00:14:49,360 --> 00:14:51,160
Speaker 1: Yeah, And like you're saying, like I don't think this

281
00:14:51,360 --> 00:14:54,440
Speaker 1: is on the negligence of the mother this if you're

282
00:14:54,480 --> 00:14:56,320
Speaker 1: watching the video, I mean he gets in there and

283
00:14:56,440 --> 00:14:58,280
Speaker 1: under a minute. It's very quick, and then she has

284
00:14:58,280 --> 00:15:00,280
Speaker 1: a young baby on her arm when she runs over

285
00:15:00,360 --> 00:15:03,520
Speaker 1: and realizes he's stuck in there. I hate to bring

286
00:15:03,560 --> 00:15:05,800
Speaker 1: this story up. My mom's gonna be so upset. But

287
00:15:06,320 --> 00:15:08,520
Speaker 1: I got lost when I was little when she was

288
00:15:08,560 --> 00:15:11,080
Speaker 1: watching me at a fall festival, and it happened in

289
00:15:11,120 --> 00:15:14,080
Speaker 1: a matter of seconds, and luckily I found this old

290
00:15:14,160 --> 00:15:16,160
Speaker 1: lady that brought me to a fireman and it got

291
00:15:16,200 --> 00:15:18,920
Speaker 1: resolved very quickly. But I'm sure that was the worst

292
00:15:19,000 --> 00:15:21,520
Speaker 1: couple of minutes of her life, thinking I was.

293
00:15:21,600 --> 00:15:25,600
Speaker 2: This story is actually the funniest. Maria went up to

294
00:15:26,680 --> 00:15:29,480
Speaker 2: either a firefighter or a cop. I don't really remember

295
00:15:29,480 --> 00:15:32,120
Speaker 2: what the story is, but I remember this part of

296
00:15:32,160 --> 00:15:34,560
Speaker 2: it that because I was at work at the time,

297
00:15:35,080 --> 00:15:37,880
Speaker 2: and I remember this happened, and they were at this

298
00:15:38,320 --> 00:15:41,320
Speaker 2: like a pumpkin festival thing, so there was just lots

299
00:15:41,320 --> 00:15:45,240
Speaker 2: of people there painting pumpkins and doing fall things. And

300
00:15:45,320 --> 00:15:48,880
Speaker 2: she went up to this officer and said, Hi, my

301
00:15:49,000 --> 00:15:54,040
Speaker 2: name is Maria Qualteriri. I'm five years old and I'm lost.

302
00:15:55,280 --> 00:15:56,760
Speaker 2: I thought that that was so great.

303
00:15:57,960 --> 00:16:01,320
Speaker 1: Well, that's she's She's just tell you guys, she's always

304
00:16:01,360 --> 00:16:04,080
Speaker 1: been like this. That's gonna have to be a chapter

305
00:16:04,320 --> 00:16:06,760
Speaker 1: in the memoir. I'd love to write one day with you.

306
00:16:08,920 --> 00:16:10,920
Speaker 1: It is so ridiculous. And there was that time I

307
00:16:10,960 --> 00:16:12,960
Speaker 1: called nine one one too because I thought you guys

308
00:16:13,040 --> 00:16:17,800
Speaker 1: left me alone, but somebody was at the house. But Jesus,

309
00:16:18,240 --> 00:16:19,680
Speaker 1: maybe you should Sammy West.

310
00:16:20,080 --> 00:16:24,400
Speaker 2: Kind of conversation went down then too. You were just like, Hi,

311
00:16:24,640 --> 00:16:27,440
Speaker 2: my name is Maria. It was the same year too. Hi,

312
00:16:27,480 --> 00:16:30,000
Speaker 2: my name's Maria Qualteriri. I'm five years old and I'm

313
00:16:30,040 --> 00:16:32,760
Speaker 2: home alone. That's what you said to the to the

314
00:16:32,840 --> 00:16:35,720
Speaker 2: nine one one. They actually thought it was so funny,

315
00:16:35,760 --> 00:16:38,560
Speaker 2: like they told us when when you know, when they

316
00:16:38,600 --> 00:16:43,520
Speaker 2: called the cops, and of course like, she's just like

317
00:16:43,920 --> 00:16:46,760
Speaker 2: my kids. This is something my kids do every day,

318
00:16:46,920 --> 00:16:50,120
Speaker 2: especially in the summer, like they do a quick look around,

319
00:16:50,240 --> 00:16:52,920
Speaker 2: and they they one time they called Gabe and said

320
00:16:53,240 --> 00:16:54,880
Speaker 2: that they didn't know where I was, and I was

321
00:16:54,920 --> 00:16:57,320
Speaker 2: home alone, and I was like out in the back gardening,

322
00:16:57,400 --> 00:16:59,120
Speaker 2: and I'm just like, did they even open the door

323
00:16:59,160 --> 00:17:02,200
Speaker 2: and look outside see if I was here? Like just

324
00:17:02,520 --> 00:17:04,560
Speaker 2: it's just like a funny thing kids do.

325
00:17:04,560 --> 00:17:08,320
Speaker 1: Do you think the Gladora Police Department will hand over

326
00:17:08,359 --> 00:17:10,960
Speaker 1: the nine one one call that I made in probably

327
00:17:11,040 --> 00:17:12,480
Speaker 1: nineteen ninety nine.

328
00:17:12,480 --> 00:17:13,840
Speaker 2: Yes, I'm sure of it.

329
00:17:14,160 --> 00:17:17,120
Speaker 1: That would be amazing. But yeah, things that happened quick.

330
00:17:17,200 --> 00:17:21,280
Speaker 1: Kids are wanderers. I'm not for putting leish on children

331
00:17:21,359 --> 00:17:23,160
Speaker 1: at all. You know, they may I am backpack.

332
00:17:23,480 --> 00:17:27,000
Speaker 2: I'm telling you, listen. I always used to like think

333
00:17:27,320 --> 00:17:29,760
Speaker 2: that I was never gonna be that parent. And when

334
00:17:29,840 --> 00:17:33,920
Speaker 2: Luceya did that that day, like I could not believe

335
00:17:34,200 --> 00:17:37,200
Speaker 2: how she got away from me and ran away from

336
00:17:37,200 --> 00:17:39,479
Speaker 2: me so fast and I could not get her and

337
00:17:39,600 --> 00:17:43,200
Speaker 2: just seeing your child like from afar and not being

338
00:17:43,240 --> 00:17:46,399
Speaker 2: able to get to them, and she just had no

339
00:17:46,520 --> 00:17:49,399
Speaker 2: fear of like running in a lot of people running

340
00:17:49,400 --> 00:17:51,920
Speaker 2: in the street. Not no, because like kids don't understand

341
00:17:51,960 --> 00:17:54,720
Speaker 2: the street, right. I was just like, no, I don't care.

342
00:17:54,800 --> 00:17:56,800
Speaker 2: Like when we went to the zoo after that and stuff,

343
00:17:56,800 --> 00:17:58,919
Speaker 2: I was just like, I'm having this thing attached to her.

344
00:17:58,960 --> 00:18:01,920
Speaker 2: I don't even care because the kid got away from

345
00:18:01,920 --> 00:18:03,800
Speaker 2: me easily, and I was just like, I don't give

346
00:18:03,840 --> 00:18:06,520
Speaker 2: a shit if every person here is judging me right now,

347
00:18:06,560 --> 00:18:08,720
Speaker 2: Like I'm not going to deal with a kid that

348
00:18:08,800 --> 00:18:09,960
Speaker 2: gets hurt like that.

349
00:18:10,960 --> 00:18:14,720
Speaker 1: Yeah. I never experienced a kid running like that until her.

350
00:18:14,760 --> 00:18:17,560
Speaker 1: And that's the first time ever I understood like why

351
00:18:17,600 --> 00:18:22,080
Speaker 1: those backpacks exist. She she was a runner. She did

352
00:18:22,119 --> 00:18:24,040
Speaker 1: it everywhere. She did it at the mall. She did it.

353
00:18:24,040 --> 00:18:25,960
Speaker 1: If we were like walking around and had it feel

354
00:18:25,960 --> 00:18:26,680
Speaker 1: it's scary.

355
00:18:27,080 --> 00:18:29,680
Speaker 2: Yeah, it's just like really funny how you could have

356
00:18:30,000 --> 00:18:32,679
Speaker 2: like Maria and Lillian were totally if I was just

357
00:18:32,720 --> 00:18:34,919
Speaker 2: like you stick like Lou Like, they literally would be

358
00:18:35,000 --> 00:18:37,440
Speaker 2: right next to me the whole time. And Lulu always

359
00:18:37,480 --> 00:18:40,000
Speaker 2: took advantage of like, oh her eyes looking the other way.

360
00:18:40,040 --> 00:18:43,560
Speaker 2: I'm out, like and I'm gonna chet. It was like

361
00:18:43,640 --> 00:18:46,639
Speaker 2: a cat opening the door when uh, when they're indoor

362
00:18:46,720 --> 00:18:57,200
Speaker 2: cats just getting out. Funny.

363
00:18:57,240 --> 00:18:59,360
Speaker 1: This episode is brought to you by the grocer Room.

364
00:18:59,800 --> 00:19:02,239
Speaker 2: So, like I said earlier, we have this post in

365
00:19:02,280 --> 00:19:04,640
Speaker 2: the grossery room called Buried Alive, and you could see

366
00:19:04,640 --> 00:19:07,840
Speaker 2: what it looks like when someone is actually buried alive

367
00:19:07,920 --> 00:19:13,119
Speaker 2: in a similar situation at autopsy. This week's High Profiles

368
00:19:13,200 --> 00:19:16,080
Speaker 2: Section death dissection that was in the grosser room was

369
00:19:16,119 --> 00:19:21,199
Speaker 2: the Lamb Funeral Home scandal, and that case is just

370
00:19:21,359 --> 00:19:24,320
Speaker 2: so in depth and unbelievable. We had to make it

371
00:19:24,359 --> 00:19:28,200
Speaker 2: two parts because it's just you really just won't believe

372
00:19:28,240 --> 00:19:30,240
Speaker 2: that this is actually a true story.

373
00:19:30,560 --> 00:19:33,200
Speaker 1: Oh and it gets worse, like part on how to

374
00:19:33,320 --> 00:19:36,040
Speaker 1: even cover how bad it is, and that's pretty horrific.

375
00:19:36,200 --> 00:19:37,440
Speaker 1: It gets so much worse.

376
00:19:38,840 --> 00:19:43,720
Speaker 2: It's really amazing that when people could get money doing

377
00:19:44,160 --> 00:19:47,600
Speaker 2: nefarious things like that, how they just completely lose all

378
00:19:47,720 --> 00:19:50,920
Speaker 2: sense of I don't even know what it is, empathy

379
00:19:51,280 --> 00:19:56,560
Speaker 2: or just just being a moral person in general. So

380
00:19:56,600 --> 00:19:58,880
Speaker 2: in the grocer room, we also have a really interesting

381
00:19:58,880 --> 00:20:01,920
Speaker 2: case of a wine drink who had a very unusual

382
00:20:02,320 --> 00:20:07,640
Speaker 2: injury at the hospital, and then another unusual presentation of

383
00:20:07,800 --> 00:20:09,240
Speaker 2: I didn't know I was pregnant.

384
00:20:09,760 --> 00:20:12,119
Speaker 1: Oh my god. All right, Well to check out those stories,

385
00:20:12,160 --> 00:20:14,640
Speaker 1: head over to the grossroom dot com now to sign up.

386
00:20:17,640 --> 00:20:21,080
Speaker 1: So a person's died from the plague in northern Arizona.

387
00:20:21,200 --> 00:20:25,080
Speaker 1: I didn't think this was around anymore. It is.

388
00:20:25,600 --> 00:20:29,199
Speaker 2: It's just not common. I mean, there's one to two

389
00:20:29,240 --> 00:20:32,439
Speaker 2: thousand cases a year worldwide, and in our country we

390
00:20:32,560 --> 00:20:37,320
Speaker 2: have a few cases here and there. It is like

391
00:20:37,480 --> 00:20:41,440
Speaker 2: a little bit of a weird case, though because they

392
00:20:41,520 --> 00:20:45,440
Speaker 2: don't know quite yet how the person got it initially.

393
00:20:45,680 --> 00:20:49,040
Speaker 2: So when you get the plague, which is caused by

394
00:20:49,040 --> 00:20:54,360
Speaker 2: a bacteria called yourcinius pestis, it's caused in most cases

395
00:20:54,400 --> 00:20:57,320
Speaker 2: you either catch it from somebody or you catch it

396
00:20:57,480 --> 00:21:01,520
Speaker 2: from getting bit by a flea has bit an infected

397
00:21:01,720 --> 00:21:07,399
Speaker 2: animal such as a rodent usually right, So they were saying,

398
00:21:07,440 --> 00:21:11,720
Speaker 2: initially there was this prairie dog like mass prairie dog

399
00:21:11,880 --> 00:21:16,800
Speaker 2: death somewhere in Flagstaff, Arizona, So they were thinking that

400
00:21:16,800 --> 00:21:19,840
Speaker 2: that could potentially be it, because that's something that you

401
00:21:19,920 --> 00:21:22,600
Speaker 2: might see in cases of plague. But they have since

402
00:21:22,680 --> 00:21:27,600
Speaker 2: said that it's not from prairie dogs, so they're not

403
00:21:27,680 --> 00:21:30,399
Speaker 2: exactly sure where they got it. But what happened was

404
00:21:30,480 --> 00:21:34,560
Speaker 2: this guy went to the hospital and went from like

405
00:21:34,840 --> 00:21:40,200
Speaker 2: zero to dead very soon and had what appears to be,

406
00:21:40,440 --> 00:21:42,960
Speaker 2: based upon the articles that I read, that he had

407
00:21:43,000 --> 00:21:47,840
Speaker 2: pneumonic plague. The plague bacteria is called your sinius pestis,

408
00:21:47,880 --> 00:21:51,119
Speaker 2: like I said, and all of the different plagues that

409
00:21:51,160 --> 00:21:55,720
Speaker 2: you could get black plague is the generalized term, depends

410
00:21:55,760 --> 00:21:58,280
Speaker 2: on the location of your body where you get it infected.

411
00:21:58,960 --> 00:22:01,840
Speaker 2: So the most common and the one that would you

412
00:22:01,840 --> 00:22:04,480
Speaker 2: would have the most likely chance of survival. Is called

413
00:22:04,600 --> 00:22:08,879
Speaker 2: bubonic plague, and that causes these little things called or

414
00:22:09,040 --> 00:22:11,560
Speaker 2: big things you should say called bubas I think that's

415
00:22:11,600 --> 00:22:15,480
Speaker 2: how you would pronounce it. But they're essentially really enlarged

416
00:22:15,560 --> 00:22:18,159
Speaker 2: lymph nodes. They could commonly be in the groin or

417
00:22:18,200 --> 00:22:20,320
Speaker 2: the armpit and they could get as big as an egg.

418
00:22:20,960 --> 00:22:24,439
Speaker 2: And these lymph nodes can rupture and have pus and

419
00:22:24,560 --> 00:22:27,720
Speaker 2: blood and stuff in them. So back in the day,

420
00:22:27,840 --> 00:22:31,000
Speaker 2: if people got the plague obviously this was in like

421
00:22:31,240 --> 00:22:35,440
Speaker 2: the thirteen hundreds, before they even knew that bacteria caused diseases.

422
00:22:35,920 --> 00:22:38,960
Speaker 2: And the reason the plague killed so many people, there

423
00:22:38,960 --> 00:22:41,800
Speaker 2: were lots of different factors that caused it. One of

424
00:22:41,840 --> 00:22:44,720
Speaker 2: them being just like living into close of quarters and

425
00:22:44,760 --> 00:22:48,200
Speaker 2: having this infection spread and not know how it's infecting

426
00:22:48,240 --> 00:22:51,040
Speaker 2: and not being hygienic and all this stuff. But one

427
00:22:51,080 --> 00:22:53,199
Speaker 2: thing is one of the treatments that they used to

428
00:22:53,280 --> 00:22:57,080
Speaker 2: do is like blood let these lesions which used all

429
00:22:57,119 --> 00:22:59,400
Speaker 2: of this stuff which was super infectious, and that's how

430
00:22:59,480 --> 00:23:01,480
Speaker 2: other people we're getting it as well. So it just

431
00:23:01,560 --> 00:23:05,000
Speaker 2: was spreading multiple different ways. So in this case of

432
00:23:05,040 --> 00:23:08,840
Speaker 2: this guy having been diagnosed with pneumonic plague. That means

433
00:23:08,880 --> 00:23:13,520
Speaker 2: that the bacteria was in his lungs, causing a pneumonia.

434
00:23:13,600 --> 00:23:15,800
Speaker 2: And you could get that two different ways. You could

435
00:23:15,800 --> 00:23:20,359
Speaker 2: get that either from breathing in respiratory droplets from a

436
00:23:20,400 --> 00:23:24,919
Speaker 2: person that has pneumonic plague, or you could get it

437
00:23:25,000 --> 00:23:28,080
Speaker 2: if it goes into your lymph nodes and or into

438
00:23:28,119 --> 00:23:31,159
Speaker 2: your blood and then it spreads to your lungs. So

439
00:23:31,760 --> 00:23:34,320
Speaker 2: I guess that might be why they're saying that he

440
00:23:34,440 --> 00:23:36,720
Speaker 2: didn't get it from a prairie dog, because they think

441
00:23:36,800 --> 00:23:40,439
Speaker 2: that he possibly caught it from someone else that had it.

442
00:23:41,240 --> 00:23:44,360
Speaker 2: I'm not really sure, but what happened is they they

443
00:23:44,400 --> 00:23:49,520
Speaker 2: automatically knew that he was having symptoms of pneumonic plague.

444
00:23:49,800 --> 00:23:54,000
Speaker 2: So what the presentation is very fast and the incubation

445
00:23:54,160 --> 00:23:57,879
Speaker 2: period is fast. That means do you remember with COVID

446
00:23:58,520 --> 00:24:01,479
Speaker 2: that you would be a exposed to somebody and then

447
00:24:01,560 --> 00:24:04,760
Speaker 2: you might not even start showing symptoms for like one

448
00:24:04,840 --> 00:24:08,760
Speaker 2: to two weeks. Yeah, so with when you're exposed to

449
00:24:08,840 --> 00:24:12,720
Speaker 2: bubonic plague, you start showing symptoms within twenty four hours

450
00:24:12,760 --> 00:24:13,560
Speaker 2: of the infection.

451
00:24:14,359 --> 00:24:16,480
Speaker 1: Okay, this is what I was gonna ask you, because

452
00:24:16,560 --> 00:24:19,520
Speaker 1: like how I was just confused how they knew to

453
00:24:19,640 --> 00:24:22,480
Speaker 1: test for it, because I just would assume this isn't

454
00:24:22,480 --> 00:24:25,160
Speaker 1: in the normal round of testing because of how rare

455
00:24:25,200 --> 00:24:25,479
Speaker 1: it is.

456
00:24:25,640 --> 00:24:28,320
Speaker 2: Well, this is what happens. So he came in and

457
00:24:28,359 --> 00:24:30,960
Speaker 2: he was having symptoms, and one of the symptoms is

458
00:24:31,000 --> 00:24:32,760
Speaker 2: a little bit weird and it has a little bit

459
00:24:32,760 --> 00:24:37,160
Speaker 2: of a different presentation than most typical pneumonias are infections.

460
00:24:37,680 --> 00:24:42,159
Speaker 2: So your sputum. Sputum is the grossest specimen ever. But

461
00:24:42,240 --> 00:24:45,280
Speaker 2: basically it's like your loogies that you cough up, when

462
00:24:45,280 --> 00:24:48,280
Speaker 2: you can cough up all that mucus and stuff when

463
00:24:48,320 --> 00:24:52,080
Speaker 2: you have pneumatic plague. It starts very thin and watery.

464
00:24:52,240 --> 00:24:55,280
Speaker 2: It's and it's like a copious amount of fluid that

465
00:24:55,359 --> 00:24:58,040
Speaker 2: comes out, and then all of a sudden it turns pink,

466
00:24:58,359 --> 00:25:00,800
Speaker 2: and then it turns blood tin and then it could

467
00:25:00,800 --> 00:25:04,159
Speaker 2: be like straight up coughing out like blood, like a

468
00:25:04,200 --> 00:25:06,439
Speaker 2: lot of it, and it just it's just like a

469
00:25:06,560 --> 00:25:09,960
Speaker 2: very weird presentation to happen so fast within twenty four

470
00:25:09,960 --> 00:25:13,159
Speaker 2: hours at the hospital. So number one, they're going to

471
00:25:13,240 --> 00:25:16,120
Speaker 2: test that to see what's in it. But more importantly,

472
00:25:16,520 --> 00:25:19,560
Speaker 2: he also had it in his blood, so they'll send

473
00:25:19,600 --> 00:25:23,720
Speaker 2: the blood cultures down to microbiology and they go on

474
00:25:23,800 --> 00:25:27,359
Speaker 2: a machine first, and it's the unfortunate thing is is

475
00:25:27,400 --> 00:25:30,280
Speaker 2: that it's not very quick to do these diagnoses because

476
00:25:30,320 --> 00:25:32,399
Speaker 2: you have to wait to see if the bacteria grows.

477
00:25:32,840 --> 00:25:36,080
Speaker 2: So the machine will say, Okay, there's bacteria in this blood,

478
00:25:36,119 --> 00:25:38,119
Speaker 2: and then the technician will take it off of the

479
00:25:38,160 --> 00:25:41,800
Speaker 2: machine and do a work up to see exactly what

480
00:25:42,080 --> 00:25:46,840
Speaker 2: that bacteria is. So they knew right away like, Okay,

481
00:25:46,840 --> 00:25:50,560
Speaker 2: this guy has just these really weird symptoms kind of

482
00:25:50,640 --> 00:25:53,399
Speaker 2: and then they knew. So he died on the first

483
00:25:53,960 --> 00:25:56,280
Speaker 2: of July, and then by the second day he had

484
00:25:56,280 --> 00:25:59,960
Speaker 2: already had an autopsy done, and the hospital actually called

485
00:26:00,040 --> 00:26:03,639
Speaker 2: the medical examiner's office and was like, uh, this is

486
00:26:03,840 --> 00:26:08,640
Speaker 2: suspicious for your sinius pestis. So that clued the medical

487
00:26:08,680 --> 00:26:12,320
Speaker 2: examiner to take some lung tissue and send it to

488
00:26:12,400 --> 00:26:15,840
Speaker 2: the state because sometimes when you have these weird infections,

489
00:26:15,880 --> 00:26:18,680
Speaker 2: you need to send it to like a special CDC

490
00:26:18,960 --> 00:26:22,160
Speaker 2: type of lab or state lab that's doing that test

491
00:26:22,200 --> 00:26:26,080
Speaker 2: for these infections. So the hospital was able to identify

492
00:26:26,119 --> 00:26:28,800
Speaker 2: that it was possibly that, but just to confirm, they

493
00:26:28,840 --> 00:26:34,160
Speaker 2: wanted to do the diagnosis on his actual lung tissue.

494
00:26:34,720 --> 00:26:39,840
Speaker 2: So after that, of course, this could go really bad,

495
00:26:40,000 --> 00:26:42,840
Speaker 2: really fast, because it's so contagious. So they want to

496
00:26:42,840 --> 00:26:44,840
Speaker 2: be like, where the hell did this guy get this

497
00:26:45,119 --> 00:26:47,680
Speaker 2: and who did he catch it from? And we need

498
00:26:47,720 --> 00:26:49,560
Speaker 2: to stop this right now, because you have to think

499
00:26:49,600 --> 00:26:52,600
Speaker 2: about this. He had family, he had friends, he might

500
00:26:52,640 --> 00:26:55,080
Speaker 2: have had a job, all of this stuff that he

501
00:26:55,160 --> 00:26:57,560
Speaker 2: was exposing people to before he got sick enough to

502
00:26:57,560 --> 00:26:59,800
Speaker 2: go to the hospital and was coughing all over the place.

503
00:27:00,200 --> 00:27:04,760
Speaker 2: Plus you have a typical person that a nurse doctor

504
00:27:04,800 --> 00:27:08,000
Speaker 2: that's working in the emergency room isn't wearing a TB

505
00:27:08,520 --> 00:27:13,960
Speaker 2: mask that's a fitted respirator, right, so that person's coughing

506
00:27:14,040 --> 00:27:17,960
Speaker 2: all over the place in the waiting room. Anybody that

507
00:27:18,000 --> 00:27:20,400
Speaker 2: had exposure to this guy, including the people that did

508
00:27:20,400 --> 00:27:23,280
Speaker 2: the autopsy on him, all need to be treated with

509
00:27:23,359 --> 00:27:26,160
Speaker 2: antibiotics just to make sure that they don't start showing

510
00:27:26,200 --> 00:27:29,320
Speaker 2: symptoms of it as well, because right there you could

511
00:27:29,359 --> 00:27:33,159
Speaker 2: see how one person could just get so many people sick.

512
00:27:33,560 --> 00:27:34,720
Speaker 1: Yeah, that's scary and.

513
00:27:34,720 --> 00:27:38,560
Speaker 2: It's very, very deadly. It was originally called the black

514
00:27:38,600 --> 00:27:42,520
Speaker 2: death because black, just the color black represented death, which

515
00:27:42,640 --> 00:27:44,639
Speaker 2: I just don't really understand because then I guess it

516
00:27:44,680 --> 00:27:47,000
Speaker 2: was called like the death death, but it was called

517
00:27:47,000 --> 00:27:49,600
Speaker 2: that because it's so deadly, and it's still deadly today.

518
00:27:50,560 --> 00:27:53,080
Speaker 2: Now they know that it's caused by a bacteria, and

519
00:27:53,119 --> 00:27:55,840
Speaker 2: they know what antibiotics kill it. So if they're able

520
00:27:55,880 --> 00:27:59,119
Speaker 2: to catch it in time, especially with all these people

521
00:27:59,160 --> 00:28:02,679
Speaker 2: that were exposed, they'll be able to treat it. But

522
00:28:02,880 --> 00:28:07,359
Speaker 2: if it's not treated, it's almost like one hundred percent deadly,

523
00:28:07,480 --> 00:28:10,200
Speaker 2: especially the versions that are in the lung and the blood.

524
00:28:10,240 --> 00:28:12,639
Speaker 2: The one that is in the lymph node is a

525
00:28:12,680 --> 00:28:16,560
Speaker 2: little bit more treatable, a little bit more treatable, but

526
00:28:16,720 --> 00:28:23,720
Speaker 2: not completely treatable, especially if if they do not get antibiotics,

527
00:28:23,480 --> 00:28:24,639
Speaker 2: it's very deadly.

528
00:28:25,200 --> 00:28:29,520
Speaker 1: I feel like in historical drawings they draw the lesions

529
00:28:30,200 --> 00:28:32,679
Speaker 1: to look like they're black. So is that where like

530
00:28:32,760 --> 00:28:34,520
Speaker 1: the name could have come from.

531
00:28:34,400 --> 00:28:37,520
Speaker 2: You can get I don't think that they did that's

532
00:28:37,560 --> 00:28:39,840
Speaker 2: where the name came from. That's just another thing that

533
00:28:39,880 --> 00:28:41,840
Speaker 2: could happen. So if you have it in your blood,

534
00:28:41,880 --> 00:28:45,160
Speaker 2: you can get a condition called DIC, which is when

535
00:28:45,680 --> 00:28:49,160
Speaker 2: it's a very weird condition where at first your blood

536
00:28:49,200 --> 00:28:52,880
Speaker 2: clots throughout your body and then since all of the

537
00:28:52,920 --> 00:28:55,840
Speaker 2: clotting factors are used for all those clots. All of

538
00:28:55,880 --> 00:29:00,160
Speaker 2: a sudden you start bleeding everywhere because there's no clotting

539
00:29:00,160 --> 00:29:03,360
Speaker 2: factors left and no platelets left to clog the blood

540
00:29:03,800 --> 00:29:05,960
Speaker 2: and or to clot the blood. So all of these

541
00:29:06,000 --> 00:29:10,240
Speaker 2: clots in throughout the body can cause especially in the

542
00:29:10,280 --> 00:29:12,920
Speaker 2: fingertips and the toes, it could cause them to turn

543
00:29:13,000 --> 00:29:16,120
Speaker 2: black because the blood with the oxygen in it is

544
00:29:16,160 --> 00:29:18,320
Speaker 2: not able to get to the fingers and not able

545
00:29:18,360 --> 00:29:22,960
Speaker 2: to get to the toes, so that can cause it

546
00:29:23,000 --> 00:29:25,880
Speaker 2: to be black. But I don't know just based upon

547
00:29:25,960 --> 00:29:28,520
Speaker 2: I'm not like a historian or anything, and this is

548
00:29:28,560 --> 00:29:32,720
Speaker 2: something that we should talk to doctor Lindsay Fitzaris about probably,

549
00:29:32,800 --> 00:29:36,000
Speaker 2: But it does not appear that that's where it got

550
00:29:36,040 --> 00:29:39,160
Speaker 2: its name from because that didn't happen in every patient.

551
00:29:40,320 --> 00:29:43,440
Speaker 1: Yeah, so all right to confirm though, this patient died

552
00:29:43,440 --> 00:29:47,120
Speaker 1: from mneumonic plague, because I've been seeing graphics going around

553
00:29:47,200 --> 00:29:50,960
Speaker 1: social media that said he died from bubonic plague. And

554
00:29:51,000 --> 00:29:51,640
Speaker 1: they're different.

555
00:29:51,920 --> 00:29:55,520
Speaker 2: Yeah, they're different. And like I said, he could have

556
00:29:55,880 --> 00:30:01,000
Speaker 2: had bubonic plague in his armpits which then went his lungs.

557
00:30:01,880 --> 00:30:04,240
Speaker 2: And that's another thing too, that when he went to

558
00:30:04,360 --> 00:30:07,080
Speaker 2: the hospital on top of having these symptoms of how

559
00:30:07,120 --> 00:30:10,840
Speaker 2: he was coughing and that weird spudum I was talking about,

560
00:30:11,240 --> 00:30:14,400
Speaker 2: he could have had really enlarged, like egg size lymph

561
00:30:14,480 --> 00:30:17,920
Speaker 2: nodes in his armpit. That made the doctors and nurses

562
00:30:18,000 --> 00:30:21,360
Speaker 2: be like, holy shit, something's up with this guy. And

563
00:30:21,560 --> 00:30:23,880
Speaker 2: so he could have got it from breathing it in

564
00:30:23,920 --> 00:30:27,200
Speaker 2: from someone, and he could have gotten it from a flea.

565
00:30:27,360 --> 00:30:29,720
Speaker 2: I just think it's interesting that they're saying that they're

566
00:30:29,800 --> 00:30:32,440
Speaker 2: sure it wasn't from a prairie dog, Like, how are

567
00:30:32,440 --> 00:30:35,400
Speaker 2: they sure already at this point, I don't know, So

568
00:30:35,440 --> 00:30:38,320
Speaker 2: that makes me think that they think that he just

569
00:30:38,800 --> 00:30:41,959
Speaker 2: breathed it in and that was how he got it.

570
00:30:43,200 --> 00:30:46,200
Speaker 2: So well, obviously they'll do an investigation on this. But

571
00:30:47,280 --> 00:30:51,520
Speaker 2: in situations like that, there's really cool jobs called epidemiologists,

572
00:30:51,560 --> 00:30:55,920
Speaker 2: and they start visiting the home and they start figuring out,

573
00:30:56,000 --> 00:30:59,680
Speaker 2: like they ask all sorts of questions like has this

574
00:31:00,120 --> 00:31:03,640
Speaker 2: has your family member traveled, where do they work, what

575
00:31:03,720 --> 00:31:07,680
Speaker 2: kind of animals are they exposed to? So it obviously

576
00:31:07,720 --> 00:31:11,840
Speaker 2: would be more easy to get in cases where you're

577
00:31:12,040 --> 00:31:16,760
Speaker 2: around rodents and if they have because you know, fleas

578
00:31:16,800 --> 00:31:20,520
Speaker 2: are fleas are fricking terrible. They're like lice on animals, right,

579
00:31:21,000 --> 00:31:22,880
Speaker 2: so it's very hard to get rid of. So if

580
00:31:22,920 --> 00:31:25,120
Speaker 2: one gets them, it's easy to catch the other one.

581
00:31:25,160 --> 00:31:27,640
Speaker 2: And it could be in a whole population of animals.

582
00:31:27,680 --> 00:31:31,440
Speaker 2: But I'm just I am curious because they'll eventually track

583
00:31:31,480 --> 00:31:35,280
Speaker 2: it back to see where they believe it came from.

584
00:31:35,440 --> 00:31:38,040
Speaker 1: All Right, So there's been this myth, so to speak,

585
00:31:38,080 --> 00:31:40,640
Speaker 1: that if you eat cheese before bid it could give

586
00:31:40,680 --> 00:31:45,080
Speaker 1: you nightmares. Have you ever experiences I, you know what.

587
00:31:45,600 --> 00:31:48,760
Speaker 2: I don't want to sound ignorant or anything, but I

588
00:31:48,920 --> 00:31:53,240
Speaker 2: really never thought about the food that I ate necessarily

589
00:31:53,600 --> 00:31:58,120
Speaker 2: causing nightmares or not. I know for sure. Because there's

590
00:31:58,120 --> 00:32:00,400
Speaker 2: this funny meme going around. I think I sent it

591
00:32:00,440 --> 00:32:04,719
Speaker 2: to you about taking melatonin before bed. It's like this

592
00:32:04,840 --> 00:32:08,160
Speaker 2: giant like cockroach like attacking somebody or something.

593
00:32:08,160 --> 00:32:08,520
Speaker 1: I don't know.

594
00:32:08,720 --> 00:32:12,080
Speaker 2: I don't yeah, it's it's just like some outrageous thing.

595
00:32:12,120 --> 00:32:14,040
Speaker 2: And it's like, oh, this is my dreams when I

596
00:32:14,080 --> 00:32:17,880
Speaker 2: take melatonin, because I have noticed I actually don't take

597
00:32:17,920 --> 00:32:20,760
Speaker 2: melatonin that much because every single time I do, I

598
00:32:20,800 --> 00:32:25,959
Speaker 2: get like these crazy dreams. But I never really, I

599
00:32:26,000 --> 00:32:30,320
Speaker 2: never really have correlated something I ate to having dreams.

600
00:32:30,880 --> 00:32:34,080
Speaker 1: I had a really crazy dream last night, and I mean,

601
00:32:34,120 --> 00:32:35,760
Speaker 1: I guess it's gonna make sense for what we're going

602
00:32:35,800 --> 00:32:38,000
Speaker 1: to talk about by I had like treslutches before I

603
00:32:38,040 --> 00:32:41,360
Speaker 1: went to sleep, so maybe it was just all that sugar.

604
00:32:41,720 --> 00:32:44,520
Speaker 1: But basically, this new study was done looking into the

605
00:32:44,600 --> 00:32:48,120
Speaker 1: relationship between certain food, sleep and dreams. So how did

606
00:32:48,160 --> 00:32:49,760
Speaker 1: they conduct this study exactly?

607
00:32:50,280 --> 00:32:54,320
Speaker 2: So I think the title of this article is a

608
00:32:54,360 --> 00:32:58,280
Speaker 2: little bit misleading. I guess I would say in a way,

609
00:32:58,320 --> 00:33:01,360
Speaker 2: although it's it's relevant, but they they tested one thousand

610
00:33:01,360 --> 00:33:04,200
Speaker 2: and eighty two psychology students with an online survey, so

611
00:33:04,240 --> 00:33:07,640
Speaker 2: it's not it's not like one hundred percent scientific, and

612
00:33:07,680 --> 00:33:10,040
Speaker 2: they're going to have to do more studies. But this

613
00:33:10,160 --> 00:33:17,080
Speaker 2: online survey probed food habits, how long the person slept,

614
00:33:17,160 --> 00:33:19,920
Speaker 2: the quality of the dreams, the quality of the nightmares.

615
00:33:20,480 --> 00:33:25,240
Speaker 2: And in this small, relatively small study, they said that

616
00:33:25,480 --> 00:33:30,000
Speaker 2: people with food sensitivities had the most disturbing or bizarre dreams.

617
00:33:31,320 --> 00:33:34,480
Speaker 2: Thirty one percent of them blamed them on desserts or suits,

618
00:33:34,520 --> 00:33:38,600
Speaker 2: and twenty two percent blamed it on dairy. So this

619
00:33:38,640 --> 00:33:42,240
Speaker 2: study has determined that there's a big association between lactose

620
00:33:42,280 --> 00:33:47,360
Speaker 2: intolerance and food allergies, and the researcher's reasoning is because,

621
00:33:48,160 --> 00:33:52,000
Speaker 2: so if you have lactose intolerance, especially because I know

622
00:33:52,120 --> 00:33:54,920
Speaker 2: I do, right, it gives you like terrible stomach pains

623
00:33:54,920 --> 00:33:57,320
Speaker 2: and it could give you gas and diarrhea. So they're saying,

624
00:33:57,840 --> 00:33:59,800
Speaker 2: if you have that before you go to bed and

625
00:33:59,840 --> 00:34:02,600
Speaker 2: then you go to sleep, you're not getting a sound

626
00:34:02,640 --> 00:34:06,080
Speaker 2: of asleep because your body itself is keeping you awake.

627
00:34:06,560 --> 00:34:08,840
Speaker 2: And when you're not getting into a very deep sleep,

628
00:34:08,880 --> 00:34:12,080
Speaker 2: that's when you could start having those like weird ass

629
00:34:12,200 --> 00:34:16,240
Speaker 2: nightmares and stuff. And it's just it's just really interesting

630
00:34:16,320 --> 00:34:19,840
Speaker 2: because they were saying that people who seemed to have

631
00:34:19,920 --> 00:34:24,200
Speaker 2: had a healthier diet were they were having a deeper sleep,

632
00:34:24,760 --> 00:34:29,240
Speaker 2: and they weren't able they weren't as able to recall

633
00:34:29,280 --> 00:34:31,759
Speaker 2: their dreams, but when they did recall their dreams, they

634
00:34:31,800 --> 00:34:35,240
Speaker 2: seemed to be good, like good dreams. Whereas the people

635
00:34:35,280 --> 00:34:38,239
Speaker 2: that were eating kind of shitty and this is like

636
00:34:38,360 --> 00:34:42,080
Speaker 2: junk food, processed food, potato chips and stuff, they were

637
00:34:42,160 --> 00:34:45,600
Speaker 2: able to recall their dreams very easily because they remember

638
00:34:45,640 --> 00:34:48,320
Speaker 2: them because they never really got a deep night sleep

639
00:34:48,360 --> 00:34:51,200
Speaker 2: and On top of that, those dreams were very vivid

640
00:34:51,239 --> 00:34:52,880
Speaker 2: and oftentimes scary.

641
00:34:54,280 --> 00:34:56,520
Speaker 1: Yeah, I mean I can understand that I've heard the

642
00:34:56,560 --> 00:34:59,160
Speaker 1: myth about the cheese, but I don't like, I don't know,

643
00:34:59,560 --> 00:35:01,760
Speaker 1: you know, I'm like, yeah, sometimes.

644
00:35:02,200 --> 00:35:05,520
Speaker 2: Cheese itself is like, I mean, it could happen if

645
00:35:05,560 --> 00:35:08,759
Speaker 2: you have. I honestly would think ice cream would be

646
00:35:08,840 --> 00:35:12,040
Speaker 2: the worst because not only is it is it dairy,

647
00:35:12,160 --> 00:35:15,000
Speaker 2: but it's also has sugar in it. Like, I feel

648
00:35:15,000 --> 00:35:18,080
Speaker 2: like that would be the headline more of of ice

649
00:35:18,120 --> 00:35:20,240
Speaker 2: cream giving you nightmares, you know what I mean. Cheese

650
00:35:20,320 --> 00:35:25,279
Speaker 2: obviously could too, but they're actually chase, Yeah, exactly, you

651
00:35:25,320 --> 00:35:27,120
Speaker 2: had three milks with sugar, Like.

652
00:35:27,600 --> 00:35:29,640
Speaker 1: I don't know, it's pretty delicious. I'd say it was

653
00:35:29,680 --> 00:35:31,879
Speaker 1: worth it, even though I wait, where did you get

654
00:35:31,920 --> 00:35:36,399
Speaker 1: a gluten free treuslat Chase, Wegmans? And it's delicious really well,

655
00:35:36,440 --> 00:35:38,799
Speaker 1: it's you know how they call it like made with

656
00:35:38,880 --> 00:35:43,040
Speaker 1: no gluten containing ingredients to get sued. Yeah, but I

657
00:35:43,040 --> 00:35:45,360
Speaker 1: don't know, it's pretty bay and so yeah, I highly

658
00:35:45,400 --> 00:35:48,920
Speaker 1: recommend not paid, not paid endorsement.

659
00:35:50,120 --> 00:35:53,000
Speaker 2: Clearly don't eat it before you go to bed though.

660
00:35:53,360 --> 00:35:57,960
Speaker 2: All right, So uh, this next story is is just

661
00:35:58,280 --> 00:36:01,600
Speaker 2: fricking weird and the thing is so scary. This is

662
00:36:01,680 --> 00:36:05,239
Speaker 2: real nightmare fuel a yeah right, speaking of nightmares.

663
00:36:05,480 --> 00:36:08,080
Speaker 1: So, what appeared to be a teddy bear made of

664
00:36:08,200 --> 00:36:11,319
Speaker 1: human skin was found outside of a convenience store over

665
00:36:11,360 --> 00:36:13,920
Speaker 1: the weekend, and when police got a call for possible

666
00:36:14,000 --> 00:36:16,960
Speaker 1: human remains, they were looking at it, but discover that

667
00:36:17,000 --> 00:36:20,040
Speaker 1: the bear was actually made from latex and was possibly

668
00:36:20,080 --> 00:36:21,320
Speaker 1: planted there as a prank.

669
00:36:22,239 --> 00:36:24,960
Speaker 2: So I when I first read this article, I was

670
00:36:25,040 --> 00:36:27,160
Speaker 2: just like, okay, whatever, And I looked at it and

671
00:36:27,160 --> 00:36:29,680
Speaker 2: I was like, yo, this shit looks like ed Gains,

672
00:36:29,760 --> 00:36:34,080
Speaker 2: like buffalo bill creepy it. I could see that a

673
00:36:34,120 --> 00:36:39,759
Speaker 2: person that might not really examine tissue often would think

674
00:36:39,840 --> 00:36:43,160
Speaker 2: that that's what it was because it was designed to

675
00:36:43,280 --> 00:36:47,279
Speaker 2: look that like human skin, and it looks pretty good.

676
00:36:47,760 --> 00:36:49,600
Speaker 1: I don't think this is a funny prank at all.

677
00:36:49,640 --> 00:36:51,839
Speaker 1: I mean, people do horrible things like this.

678
00:36:52,400 --> 00:36:53,839
Speaker 2: I mean it's kind of funny, come on.

679
00:36:54,880 --> 00:36:57,800
Speaker 1: I don't know, but the bear was made by an artist.

680
00:36:57,920 --> 00:37:00,000
Speaker 2: I just really wonder like when the cops showed up

681
00:37:00,200 --> 00:37:02,759
Speaker 2: and stuff, like, did they legit be like, holy shit,

682
00:37:02,840 --> 00:37:06,200
Speaker 2: we have some crazy mfror like living around here, or

683
00:37:06,840 --> 00:37:08,040
Speaker 2: did they know right away.

684
00:37:08,480 --> 00:37:11,000
Speaker 1: So you look at real human tissue, so you're saying

685
00:37:11,000 --> 00:37:12,200
Speaker 1: it looks pretty really, I.

686
00:37:12,200 --> 00:37:14,960
Speaker 2: Didn't hold it in my hands, and I'm just looking

687
00:37:15,000 --> 00:37:17,160
Speaker 2: at a picture at it. But when I look at it,

688
00:37:17,239 --> 00:37:21,439
Speaker 2: I'm like just just knowing that that this is a thing. Right,

689
00:37:21,520 --> 00:37:24,439
Speaker 2: it looks like it like it was supposed to look

690
00:37:24,480 --> 00:37:26,680
Speaker 2: like it was human skin that was sewed together to

691
00:37:26,719 --> 00:37:27,520
Speaker 2: make a teddy bear.

692
00:37:27,600 --> 00:37:29,879
Speaker 1: Like it looks it looks pretty good.

693
00:37:30,960 --> 00:37:33,680
Speaker 2: So if I held it in my hand with gloves

694
00:37:33,680 --> 00:37:36,080
Speaker 2: and examined it, I'm sure I would be able to tell.

695
00:37:36,120 --> 00:37:41,640
Speaker 2: But the guy that makes them does does like prosthetics right,

696
00:37:41,800 --> 00:37:44,040
Speaker 2: like like Halloween masks and stuff like that.

697
00:37:44,120 --> 00:37:47,760
Speaker 1: Like he's good, well you know what, he's this guy.

698
00:37:47,840 --> 00:37:50,520
Speaker 1: His name's Robert Kelly, the artist that made this. You know,

699
00:37:50,600 --> 00:37:52,360
Speaker 1: this is what when we like to say this is

700
00:37:52,440 --> 00:37:56,040
Speaker 1: press you could never buy like this. This happened. It

701
00:37:56,080 --> 00:37:58,360
Speaker 1: was a customer bought this. He recalled shipping one to

702
00:37:58,400 --> 00:38:01,960
Speaker 1: that area I guess before this took place. But he

703
00:38:02,080 --> 00:38:05,959
Speaker 1: specializes in making these horror props. So he sells these

704
00:38:06,160 --> 00:38:08,960
Speaker 1: human skin like teddy bears on his website and people

705
00:38:09,040 --> 00:38:11,640
Speaker 1: are clearly into them. But now he's getting all this

706
00:38:11,800 --> 00:38:14,080
Speaker 1: great press for well, not great because some people are

707
00:38:14,120 --> 00:38:17,000
Speaker 1: freaked out, but it's good promotion for his business. And

708
00:38:17,320 --> 00:38:19,759
Speaker 1: I'm especially sure a lot of our listeners are into

709
00:38:19,760 --> 00:38:20,200
Speaker 1: this stuff.

710
00:38:20,239 --> 00:38:22,680
Speaker 2: So now sure, I'm like, I kind of want one

711
00:38:22,719 --> 00:38:23,320
Speaker 2: for my couch.

712
00:38:23,400 --> 00:38:25,359
Speaker 1: Now You're like, do you want to mail us one,

713
00:38:25,520 --> 00:38:26,880
Speaker 1: Robert Kelly, No, it is.

714
00:38:27,160 --> 00:38:29,640
Speaker 2: It really is creepy looking, though, and it just makes

715
00:38:30,000 --> 00:38:34,600
Speaker 2: you know every especially like everyone has seen the Silence

716
00:38:34,680 --> 00:38:37,080
Speaker 2: of the Lambs and they know about Ed Gaines and

717
00:38:37,080 --> 00:38:39,560
Speaker 2: stuff like that, and it just totally has that vibe.

718
00:38:39,640 --> 00:38:43,560
Speaker 2: So I can't imagine who found it, and just remember,

719
00:38:43,680 --> 00:38:46,200
Speaker 2: like I want to hear the naymone call. I want

720
00:38:46,200 --> 00:38:47,759
Speaker 2: to hear all of it, Like I want to hear

721
00:38:47,800 --> 00:38:50,280
Speaker 2: what the cops have to say. It's I'm really curious.

722
00:38:50,640 --> 00:38:53,320
Speaker 1: Well, this would be good promotion too, because Ryan Murphy's

723
00:38:53,680 --> 00:38:56,719
Speaker 1: currently doing the next Monster's installment, which is gonna be

724
00:38:56,960 --> 00:39:00,720
Speaker 1: about Ed gain played by that fine specimen Charlie Hunum

725
00:39:00,760 --> 00:39:01,920
Speaker 1: from Sons of Anarchy.

726
00:39:02,000 --> 00:39:04,560
Speaker 2: But I don't know any of these people. I mean,

727
00:39:04,719 --> 00:39:06,120
Speaker 2: obviously I know a game.

728
00:39:05,920 --> 00:39:09,560
Speaker 1: But yeah, that it's it's disturbing to look at and

729
00:39:09,600 --> 00:39:11,880
Speaker 1: I feel like people like us that are like, I

730
00:39:12,000 --> 00:39:16,239
Speaker 1: like this term cheryl uses forensic storytellers. We often see

731
00:39:16,280 --> 00:39:19,920
Speaker 1: these highly disturbing pictures of people that do these things

732
00:39:19,960 --> 00:39:22,879
Speaker 1: with real human body parts. So when you see something

733
00:39:23,000 --> 00:39:25,919
Speaker 1: like this that is fake, I guess I can see

734
00:39:25,920 --> 00:39:29,960
Speaker 1: the prank element of it, but you can't probably go there.

735
00:39:30,160 --> 00:39:32,840
Speaker 2: Yeah, like the cops and the CSI people had the

736
00:39:32,840 --> 00:39:35,919
Speaker 2: biggest letdown ever because they were like, Oh my god,

737
00:39:36,000 --> 00:39:38,560
Speaker 2: this is going to be like the new serial killer

738
00:39:38,880 --> 00:39:40,759
Speaker 2: case right in our town. And then all of a

739
00:39:40,800 --> 00:39:42,399
Speaker 2: sudden they're like, oh, that's fake.

740
00:39:43,239 --> 00:39:46,800
Speaker 1: I believe Did this happen in Sam Bernardino, Yeah, okay,

741
00:39:46,960 --> 00:39:50,240
Speaker 1: so this is the same as Act police department. Speaking

742
00:39:50,239 --> 00:39:52,440
Speaker 1: of Lamb Funeral Home we were talking about in the ad,

743
00:39:52,680 --> 00:39:57,000
Speaker 1: they responded to the call from the former soldier who

744
00:39:57,080 --> 00:40:00,799
Speaker 1: liberated Auschwitz that he smelled burning flo the air, and

745
00:40:00,840 --> 00:40:04,440
Speaker 1: they go to this warehouse that's called oscar Ceramics that

746
00:40:04,719 --> 00:40:08,640
Speaker 1: was registered as a business that made tiles for NASA,

747
00:40:09,280 --> 00:40:11,319
Speaker 1: and then they go in there and there's hundreds of

748
00:40:11,320 --> 00:40:13,480
Speaker 1: bodies and kilns in there. So what did they think

749
00:40:13,520 --> 00:40:15,719
Speaker 1: when they first walked in there. I don't think.

750
00:40:15,760 --> 00:40:20,200
Speaker 2: I imagine imagine being a police officer there though, now like,

751
00:40:20,239 --> 00:40:23,400
Speaker 2: how are you ever going to top the experience of

752
00:40:23,440 --> 00:40:27,319
Speaker 2: the people in the past of your department? This could

753
00:40:27,320 --> 00:40:28,680
Speaker 2: have been it for them, It could.

754
00:40:28,520 --> 00:40:31,640
Speaker 1: Have been it. I'm sure somebody will be inspired to

755
00:40:31,680 --> 00:40:33,160
Speaker 1: do a more fucked up crime.

756
00:40:34,440 --> 00:40:36,640
Speaker 2: Somebody listening right now is like, you know what, I'm

757
00:40:36,680 --> 00:40:37,200
Speaker 2: gonna make.

758
00:40:37,120 --> 00:40:42,560
Speaker 1: A real one exactly, which is even more disturbing. Please don't, please, please,

759
00:40:42,600 --> 00:40:45,080
Speaker 1: please please don't. We don't need a real life Silence

760
00:40:45,120 --> 00:40:45,640
Speaker 1: of the Lambs.

761
00:40:45,960 --> 00:40:48,200
Speaker 2: If you do, put a cute little Mother Knows Death

762
00:40:48,239 --> 00:40:49,520
Speaker 2: t shirt on it or something.

763
00:40:49,560 --> 00:40:53,560
Speaker 1: So please don't. I don't want to be associated with

764
00:40:53,640 --> 00:40:56,799
Speaker 1: the real psycho that's going to do something like that. Okay,

765
00:40:56,880 --> 00:40:58,840
Speaker 1: let's move on to questions of the day. Every Friday

766
00:40:58,840 --> 00:41:01,160
Speaker 1: at that Mother Knows Deastagram account, you guys can head

767
00:41:01,200 --> 00:41:04,560
Speaker 1: over to our story and ask whatever you want. First,

768
00:41:04,719 --> 00:41:08,279
Speaker 1: I'm an RN and it's fulfilling, but have interest in autopsy,

769
00:41:08,440 --> 00:41:10,560
Speaker 1: So is there a way to be involved with both?

770
00:41:11,120 --> 00:41:13,600
Speaker 1: This person says they're aware of sayings but would rather

771
00:41:13,640 --> 00:41:14,400
Speaker 1: help at the emmy.

772
00:41:15,480 --> 00:41:18,520
Speaker 2: So the answer I'm going to give you is I

773
00:41:18,600 --> 00:41:22,080
Speaker 2: would probably say no, and let me give you my reasoning.

774
00:41:22,200 --> 00:41:26,080
Speaker 2: So you can with your education, get a job at

775
00:41:26,120 --> 00:41:29,279
Speaker 2: the Medical Examiner's office and do autopsies or be a

776
00:41:29,280 --> 00:41:33,359
Speaker 2: crime scene investigator. But the problem is is that it's

777
00:41:33,400 --> 00:41:36,319
Speaker 2: going to be a drastic cut in pay compared to

778
00:41:36,360 --> 00:41:39,799
Speaker 2: what a nurse makes. If you just so happen to

779
00:41:39,920 --> 00:41:43,880
Speaker 2: have like a rich daddy and you don't need to

780
00:41:43,920 --> 00:41:46,479
Speaker 2: worry daddy or is that daddy or what?

781
00:41:46,840 --> 00:41:47,440
Speaker 1: Or azaddy?

782
00:41:47,800 --> 00:41:48,520
Speaker 2: What's a zaddy?

783
00:41:48,960 --> 00:41:51,680
Speaker 1: I think a zaddy is I'm probably gonna botch this term.

784
00:41:51,840 --> 00:41:55,200
Speaker 1: Is like a handsome, rich guy that takes care of you.

785
00:41:55,360 --> 00:41:58,360
Speaker 1: So it's not like you're dad taking care of you.

786
00:41:58,440 --> 00:42:01,480
Speaker 2: It's like, oh, like I sugar, that's what I That's

787
00:42:01,480 --> 00:42:03,480
Speaker 2: what I meant by daddy. I didn't mean like your

788
00:42:03,520 --> 00:42:07,120
Speaker 2: real dad, but okay. Or if you're like a rich

789
00:42:07,200 --> 00:42:08,920
Speaker 2: kid or something like that, and you don't need to

790
00:42:08,960 --> 00:42:14,000
Speaker 2: worry about paying bills and having any kind of a

791
00:42:14,400 --> 00:42:17,399
Speaker 2: you know, you don't worry about your cost of living

792
00:42:17,480 --> 00:42:18,120
Speaker 2: and everything like that.

793
00:42:18,800 --> 00:42:22,600
Speaker 1: Daddy's just a guy that takes care of a younger

794
00:42:22,600 --> 00:42:24,400
Speaker 1: girl and gives him money. And then a zaddy is

795
00:42:24,440 --> 00:42:28,000
Speaker 1: a handsome older man that takes care of a girl.

796
00:42:28,480 --> 00:42:31,279
Speaker 2: Yeah, well, if you're zaddy or daddy whatever, if not,

797
00:42:31,880 --> 00:42:34,120
Speaker 2: if you're like ninety nine point nine percent of the

798
00:42:34,160 --> 00:42:37,560
Speaker 2: rest of the population that actually needs to survive off

799
00:42:37,600 --> 00:42:42,280
Speaker 2: the money that you make at work. I mean, like, listen,

800
00:42:42,360 --> 00:42:44,720
Speaker 2: I'm all about doing what you love for a living,

801
00:42:45,440 --> 00:42:49,040
Speaker 2: but you have to make money too, and right now

802
00:42:49,120 --> 00:42:52,960
Speaker 2: you make way more money than that they make. So

803
00:42:53,680 --> 00:42:58,480
Speaker 2: there are some there are some situations where a nurse

804
00:42:58,520 --> 00:43:02,240
Speaker 2: could work at a medical examiner, sometimes in bigger cities

805
00:43:02,320 --> 00:43:06,440
Speaker 2: like New York City, which would pay you more money,

806
00:43:06,440 --> 00:43:08,239
Speaker 2: but then the cost of living would be more too,

807
00:43:08,280 --> 00:43:10,640
Speaker 2: So I don't know if that's comparable to the increased

808
00:43:10,719 --> 00:43:14,719
Speaker 2: cost of living there, And there's not obviously, like there's

809
00:43:14,760 --> 00:43:18,600
Speaker 2: only so many of those jobs. It's the same exact

810
00:43:18,680 --> 00:43:21,000
Speaker 2: way in the hospital. You're not going to be able

811
00:43:21,040 --> 00:43:23,880
Speaker 2: to do autopsies in the hospital unless you're a PA

812
00:43:24,040 --> 00:43:27,880
Speaker 2: like me. And if you do want to assist with

813
00:43:28,160 --> 00:43:31,400
Speaker 2: doctors and smaller hospitals, you would be considered like a

814
00:43:31,440 --> 00:43:33,600
Speaker 2: morg assistant, which is just going to be addressed to

815
00:43:33,680 --> 00:43:38,560
Speaker 2: cut and pay for, compared to an RN. And I

816
00:43:38,680 --> 00:43:42,600
Speaker 2: understand what the sane nurse, which is a sexual assault

817
00:43:42,760 --> 00:43:46,520
Speaker 2: nurse investigator. I understand why you don't want to do

818
00:43:46,600 --> 00:43:49,600
Speaker 2: that because that's kind of not anywhere near what we

819
00:43:49,760 --> 00:43:54,759
Speaker 2: do in autopsy, that is investigating sexual assaults, and then

820
00:43:54,800 --> 00:43:59,799
Speaker 2: you're having contact with patients that are alive as an

821
00:44:00,320 --> 00:44:03,319
Speaker 2: in horrible situations, and I could see that that it's

822
00:44:03,360 --> 00:44:06,160
Speaker 2: a very special job. It's definitely not for everyone. I

823
00:44:06,239 --> 00:44:12,160
Speaker 2: definitely would never do it. So the only other option

824
00:44:12,480 --> 00:44:16,400
Speaker 2: that you have is just if you're an RN. I

825
00:44:16,440 --> 00:44:19,719
Speaker 2: don't even know. I'm assuming at this point that you

826
00:44:19,960 --> 00:44:22,080
Speaker 2: have a bachelor's degree or you're working on it, because

827
00:44:22,120 --> 00:44:24,239
Speaker 2: I'm not even sure how much longer you could work

828
00:44:24,280 --> 00:44:27,880
Speaker 2: as an RN with the associate's degree. But my only

829
00:44:28,760 --> 00:44:30,799
Speaker 2: thing I could tell you is that you can go

830
00:44:30,880 --> 00:44:32,880
Speaker 2: back to school and at least you have a lot

831
00:44:32,960 --> 00:44:35,600
Speaker 2: of the classes that you already need, and you could

832
00:44:35,640 --> 00:44:37,840
Speaker 2: go to school and get a bachelor's degree and you

833
00:44:37,880 --> 00:44:41,839
Speaker 2: could either be like a crime scene investigator. You could

834
00:44:41,880 --> 00:44:46,240
Speaker 2: go for PA and do all topsyason get a master's degree.

835
00:44:46,680 --> 00:44:50,360
Speaker 2: The problem is you're going to run into this problem

836
00:44:50,440 --> 00:44:52,960
Speaker 2: is that as an RN you make pretty good money

837
00:44:52,960 --> 00:44:55,120
Speaker 2: compared to all of the jobs that you can get

838
00:44:55,200 --> 00:44:59,680
Speaker 2: in forensics on any other level besides being a physician.

839
00:45:00,000 --> 00:45:04,640
Speaker 2: Oh that's the only advice I could give you is

840
00:45:04,680 --> 00:45:05,760
Speaker 2: to go back to school.

841
00:45:07,280 --> 00:45:10,560
Speaker 1: Okay, Nicole. With your recent cancer diagnosis, has there been

842
00:45:10,600 --> 00:45:15,440
Speaker 1: a change in your daily health routine?

843
00:45:15,760 --> 00:45:18,880
Speaker 2: Really? I am more like yesterday I went outside for

844
00:45:18,960 --> 00:45:21,319
Speaker 2: a couple hours and I was doing some gardening, and

845
00:45:21,360 --> 00:45:26,800
Speaker 2: I made sure to put like really thick suntan Lucien

846
00:45:26,880 --> 00:45:30,120
Speaker 2: and silicon suntan stuff on my scar, as well as

847
00:45:30,120 --> 00:45:33,040
Speaker 2: wear a hat, which in the past, I don't think

848
00:45:33,080 --> 00:45:35,719
Speaker 2: I would have been that nuts about it just being

849
00:45:35,719 --> 00:45:40,200
Speaker 2: outside for an hour. So yeah, for sure, I am.

850
00:45:40,400 --> 00:45:43,120
Speaker 2: I am more worried about it now and worried about

851
00:45:43,120 --> 00:45:47,959
Speaker 2: getting sunburn and stuff. But I mean not really, I'm

852
00:45:48,000 --> 00:45:50,719
Speaker 2: just right now. I'm like, yeah, like I guess every night,

853
00:45:50,800 --> 00:45:55,759
Speaker 2: like I'm putting on this scar tape still, and I'm

854
00:45:55,800 --> 00:45:57,919
Speaker 2: going I'm actually going at the end of this week

855
00:45:57,960 --> 00:46:00,799
Speaker 2: to get my scar lazered or to get him to

856
00:46:00,840 --> 00:46:02,799
Speaker 2: look at it to see if he wants to laser it.

857
00:46:02,920 --> 00:46:07,920
Speaker 2: So I'm just trying to work on this scar but

858
00:46:08,600 --> 00:46:09,200
Speaker 2: nothing else.

859
00:46:09,320 --> 00:46:12,600
Speaker 1: I mean, really, I think your scar looks pretty good

860
00:46:12,640 --> 00:46:15,080
Speaker 1: though I know that you want it lasered, but and

861
00:46:15,120 --> 00:46:16,880
Speaker 1: you can't really tell when you have makeup on but

862
00:46:16,920 --> 00:46:19,040
Speaker 1: I think even when you don't have makeup on it,

863
00:46:19,040 --> 00:46:22,359
Speaker 1: it looks like it's healing pretty good. Yeah, it's all right.

864
00:46:22,440 --> 00:46:25,400
Speaker 2: It's it's pretty red though, so and it's just in

865
00:46:25,440 --> 00:46:27,680
Speaker 2: an area where I always had a lot of inflammation.

866
00:46:27,840 --> 00:46:29,719
Speaker 2: So I would like it to be lighter because it

867
00:46:29,800 --> 00:46:32,600
Speaker 2: is definitely obvious, especially if I'm not wearing makeup. But

868
00:46:33,719 --> 00:46:35,640
Speaker 2: I mean, it's it's getting there, and it's good. It's

869
00:46:35,680 --> 00:46:39,040
Speaker 2: only been what May, I got it done, so it's

870
00:46:39,080 --> 00:46:42,200
Speaker 2: only been a couple of months. But yeah, I'm not

871
00:46:42,239 --> 00:46:47,319
Speaker 2: really not. I don't really do anything anything crazy for

872
00:46:47,400 --> 00:46:50,000
Speaker 2: it or any right, I mean I don't think so.

873
00:46:50,520 --> 00:46:53,640
Speaker 1: No, all right, last, do you guys have a day job?

874
00:46:54,560 --> 00:46:55,759
Speaker 1: This is our day job?

875
00:46:56,920 --> 00:47:00,319
Speaker 2: Well this this is this is not our date. Well

876
00:47:00,360 --> 00:47:02,200
Speaker 2: I wouldn't say this is our day job. Like the

877
00:47:02,200 --> 00:47:03,880
Speaker 2: gross room is our major job.

878
00:47:04,680 --> 00:47:08,040
Speaker 1: That grossroom is both of our full time jobs. Believe

879
00:47:08,080 --> 00:47:10,800
Speaker 1: it or not. It takes I know people want everything

880
00:47:10,840 --> 00:47:14,560
Speaker 1: for free, but it does take full days of work

881
00:47:14,640 --> 00:47:17,319
Speaker 1: to run that, and then on top of that to

882
00:47:17,400 --> 00:47:19,440
Speaker 1: do this and do the social media.

883
00:47:20,000 --> 00:47:24,080
Speaker 2: Yeah, it's it's just yeah, you know what's funny. I

884
00:47:24,200 --> 00:47:26,799
Speaker 2: used to think before I started doing this, a long

885
00:47:26,840 --> 00:47:30,640
Speaker 2: time ago, I would listen to people on the radio,

886
00:47:30,800 --> 00:47:33,680
Speaker 2: right and they would only have to be on the

887
00:47:33,800 --> 00:47:37,600
Speaker 2: radio like three hours a day, and I used to say, like, wow,

888
00:47:37,640 --> 00:47:39,840
Speaker 2: that must be a really awesome job, Like you just

889
00:47:39,920 --> 00:47:42,239
Speaker 2: have to show up at twelve and you're done by three,

890
00:47:42,320 --> 00:47:45,520
Speaker 2: and that's awesome. And you just don't you don't really

891
00:47:45,600 --> 00:47:50,440
Speaker 2: think about all of the work that goes into an episode.

892
00:47:50,480 --> 00:47:53,680
Speaker 2: Even though it just seems like you're talking about a

893
00:47:53,719 --> 00:47:56,239
Speaker 2: lot of things very easily, there still needs to be

894
00:47:56,320 --> 00:47:58,239
Speaker 2: some kind of a plan and you need to look

895
00:47:58,280 --> 00:48:01,839
Speaker 2: into things, and just gathering all the stories takes time

896
00:48:01,880 --> 00:48:05,160
Speaker 2: and everything like that. And I mean it's the same

897
00:48:05,160 --> 00:48:08,799
Speaker 2: exact thing for the grosser Room too, because obviously I

898
00:48:08,840 --> 00:48:12,640
Speaker 2: want the gross Room to be as medically accurate as possible.

899
00:48:12,800 --> 00:48:16,160
Speaker 2: And I'm just I'll be the first to tell you

900
00:48:16,200 --> 00:48:18,640
Speaker 2: that I don't know everything. Some things that I write

901
00:48:18,640 --> 00:48:21,040
Speaker 2: about I've never heard about, or I might have learned

902
00:48:21,040 --> 00:48:23,720
Speaker 2: about in school fifteen years ago and I just don't remember.

903
00:48:23,800 --> 00:48:26,919
Speaker 2: So it's just a lot of research on the back end,

904
00:48:27,600 --> 00:48:31,200
Speaker 2: and especially our bigger articles that we write every week

905
00:48:31,200 --> 00:48:33,920
Speaker 2: in the grosser Room, they could take days for us

906
00:48:33,960 --> 00:48:36,520
Speaker 2: to write, so and then we have other stuff going

907
00:48:36,560 --> 00:48:39,200
Speaker 2: on too, like crime Con that, like I'm going to

908
00:48:39,239 --> 00:48:41,719
Speaker 2: be working on that lecture for weeks and things like that.

909
00:48:41,960 --> 00:48:44,799
Speaker 1: So just all of our different projects.

910
00:48:44,840 --> 00:48:48,960
Speaker 2: Plus I have two little kids too, so yeah, and

911
00:48:49,000 --> 00:48:51,320
Speaker 2: I have a husband and a family and a house

912
00:48:51,400 --> 00:48:54,279
Speaker 2: to run and everything like that. So we have trust me,

913
00:48:54,360 --> 00:48:55,680
Speaker 2: we're busy all the time.

914
00:48:56,480 --> 00:48:59,120
Speaker 1: I guess if you didn't see it on Instagram, we

915
00:48:59,160 --> 00:49:02,000
Speaker 1: are going to crime Yeah, so we are.

916
00:49:02,760 --> 00:49:05,640
Speaker 2: Suppose we're going to come con surprise. I need to

917
00:49:05,680 --> 00:49:08,120
Speaker 2: start working on that lecture because that's gonna take me

918
00:49:08,160 --> 00:49:11,160
Speaker 2: a couple of weeks to write. Honestly, I think.

919
00:49:11,080 --> 00:49:14,000
Speaker 1: Like exactly what you're saying. You just have this mentality

920
00:49:14,040 --> 00:49:16,600
Speaker 1: of like, oh you what you guys see is only

921
00:49:16,719 --> 00:49:21,040
Speaker 1: you know, one hour episode or three small episodes every week,

922
00:49:21,120 --> 00:49:23,799
Speaker 1: like maybe three hours of content a week, right, But

923
00:49:24,520 --> 00:49:27,480
Speaker 1: there's a lot of behind the scenes things that go on,

924
00:49:27,640 --> 00:49:30,240
Speaker 1: you know. It's like the gathering stories, the writing notes,

925
00:49:30,440 --> 00:49:35,000
Speaker 1: the editing, the making social clips, the meetings we have

926
00:49:35,120 --> 00:49:37,960
Speaker 1: to have with our network, like the other meetings we

927
00:49:38,040 --> 00:49:40,000
Speaker 1: have to have to do things like crime Con and

928
00:49:40,040 --> 00:49:42,560
Speaker 1: our meet and greet and stuff in Atlanta over the weekend. Which,

929
00:49:42,840 --> 00:49:44,600
Speaker 1: by the way, to everybody that came out to that,

930
00:49:44,680 --> 00:49:46,960
Speaker 1: thank you so much. It was awesome. Cheryl is like

931
00:49:47,200 --> 00:49:49,000
Speaker 1: the most amazing person ever we had.

932
00:49:49,040 --> 00:49:51,239
Speaker 2: We just said as time. We had such a good

933
00:49:51,239 --> 00:49:53,480
Speaker 2: time and we met such great people. It was it

934
00:49:53,560 --> 00:49:56,319
Speaker 2: was really nice. But just even thinking about that, like

935
00:49:56,480 --> 00:50:00,719
Speaker 2: us leaving, both of us leaving for a week, it

936
00:50:01,440 --> 00:50:04,279
Speaker 2: was like, not only were we working while we were there,

937
00:50:04,320 --> 00:50:06,400
Speaker 2: but we had to do all of the work for

938
00:50:06,480 --> 00:50:08,560
Speaker 2: not only the podcast but for the gross room the

939
00:50:08,600 --> 00:50:10,719
Speaker 2: week before, so we had to do double you know,

940
00:50:10,880 --> 00:50:13,040
Speaker 2: like and then we the same thing when we went

941
00:50:13,080 --> 00:50:15,200
Speaker 2: on the cruise. It was like, we don't even though

942
00:50:15,200 --> 00:50:18,160
Speaker 2: we technically can get off for vacation, it's not really

943
00:50:18,200 --> 00:50:20,439
Speaker 2: because you have to do double work before you leave,

944
00:50:20,480 --> 00:50:22,920
Speaker 2: but we always we don't want you guys to have

945
00:50:23,080 --> 00:50:26,799
Speaker 2: a like a lapse in content if it's possible, so

946
00:50:26,840 --> 00:50:29,560
Speaker 2: we try not to ever really like take off as

947
00:50:29,600 --> 00:50:30,960
Speaker 2: far as what you guys.

948
00:50:30,719 --> 00:50:33,520
Speaker 1: See, Yeah, cause you know you left a couple of

949
00:50:33,600 --> 00:50:36,520
Speaker 1: days before me and everybody kept joking like what are

950
00:50:36,520 --> 00:50:38,160
Speaker 1: you gonna do with your days off? Of Like I

951
00:50:38,200 --> 00:50:41,640
Speaker 1: am not off, Like last Monday, I was working twelve

952
00:50:41,680 --> 00:50:45,839
Speaker 1: hours Tuesday twelve hours Wednesday twelve hours. It's like there

953
00:50:46,719 --> 00:50:49,239
Speaker 1: is beauty in our job having flexibility. You work for

954
00:50:49,280 --> 00:50:51,480
Speaker 1: yourself and everything, but like this is a business and

955
00:50:51,600 --> 00:50:55,200
Speaker 1: business things are happening behind the scenes too. It's not like,

956
00:50:55,560 --> 00:50:58,200
Speaker 1: you know, you're just talent and you roll on in

957
00:50:58,280 --> 00:51:01,239
Speaker 1: and yeap for like an hour and then you go home.

958
00:51:01,320 --> 00:51:03,440
Speaker 1: You know, it's it is a lot of work, but

959
00:51:03,520 --> 00:51:06,400
Speaker 1: it's worth it because it's our dream job and business

960
00:51:06,440 --> 00:51:08,000
Speaker 1: and you guys seem to like it.

961
00:51:08,239 --> 00:51:11,400
Speaker 2: Yeah, we we love it. So it's just it's just

962
00:51:11,480 --> 00:51:13,960
Speaker 2: a different it's just a different kind of job. Like

963
00:51:14,719 --> 00:51:18,520
Speaker 2: believe me, I have meltdown sometimes and say, like I

964
00:51:18,640 --> 00:51:20,920
Speaker 2: just wish I worked at the hospital, because you know what,

965
00:51:21,040 --> 00:51:23,280
Speaker 2: when I was off Friday and I had off two weeks,

966
00:51:23,320 --> 00:51:25,319
Speaker 2: Like it just was like I left on Friday, and

967
00:51:25,360 --> 00:51:27,880
Speaker 2: then I was off two weeks and I was off.

968
00:51:28,800 --> 00:51:31,759
Speaker 2: Now like I'm we're kind of just never off, you know,

969
00:51:31,840 --> 00:51:34,840
Speaker 2: because we could be on the it's like on the cruise,

970
00:51:34,880 --> 00:51:36,839
Speaker 2: like we have to bring our laptops and stuff because

971
00:51:37,000 --> 00:51:39,400
Speaker 2: we're like what if the website crashes and and we

972
00:51:39,480 --> 00:51:41,880
Speaker 2: have to answer question you know, Like even to that

973
00:51:41,960 --> 00:51:44,120
Speaker 2: point a couple of years ago, I want to say

974
00:51:44,120 --> 00:51:45,239
Speaker 2: this was three or four years ago.

975
00:51:45,280 --> 00:51:47,960
Speaker 1: At this point. It was Christmas Eve. We were setting

976
00:51:48,040 --> 00:51:49,000
Speaker 1: up for the.

977
00:51:49,080 --> 00:51:51,800
Speaker 2: Kid God yeah, and this terrible.

978
00:51:51,560 --> 00:51:54,480
Speaker 1: Eleven o'clock at night, the website crashed and guess who

979
00:51:54,520 --> 00:51:57,239
Speaker 1: has to be on the phone with the server? Me,

980
00:51:57,920 --> 00:52:01,720
Speaker 1: so like or yeah, you know, it's no, it sucked

981
00:52:01,760 --> 00:52:02,960
Speaker 1: because it was it was.

982
00:52:02,960 --> 00:52:05,640
Speaker 2: Me and Maria. We were wrapping like all of the

983
00:52:05,640 --> 00:52:07,920
Speaker 2: presents for the kids and stuff, and that's a tradition

984
00:52:08,000 --> 00:52:11,040
Speaker 2: we do every year, getting the tree ready and everything.

985
00:52:11,080 --> 00:52:14,760
Speaker 2: And then it was like Maria's that like that special

986
00:52:14,800 --> 00:52:17,440
Speaker 2: time we'll usually share with each other. We're like on

987
00:52:17,520 --> 00:52:20,360
Speaker 2: the phone with these people and like trying to figure

988
00:52:20,400 --> 00:52:23,279
Speaker 2: out like what the hell's going on, and you know,

989
00:52:23,360 --> 00:52:26,359
Speaker 2: you get all the members start saying what's going on?

990
00:52:26,400 --> 00:52:28,440
Speaker 1: What's going you know, and it's like I'm trying.

991
00:52:28,760 --> 00:52:32,759
Speaker 2: Yeah, And we feel terrible because we don't you know,

992
00:52:32,800 --> 00:52:35,080
Speaker 2: we don't want you guys to think like something's up.

993
00:52:35,120 --> 00:52:38,080
Speaker 2: So we've we've gotten better at being able to communicate

994
00:52:38,080 --> 00:52:41,240
Speaker 2: with people though through email and stuff like that. But yeah,

995
00:52:41,280 --> 00:52:43,200
Speaker 2: so we we're busy.

996
00:52:43,680 --> 00:52:46,120
Speaker 1: It is just funny though, when somebody's like, so that's

997
00:52:46,160 --> 00:52:49,319
Speaker 1: what you do full time and you're like, yeah, it

998
00:52:49,440 --> 00:52:50,720
Speaker 1: is my full time job.

999
00:52:51,000 --> 00:52:53,879
Speaker 2: I actually yeah, like I actually work way more now

1000
00:52:53,960 --> 00:52:56,200
Speaker 2: than I did when I just went to work.

1001
00:52:56,440 --> 00:52:59,480
Speaker 1: Ever, because yeah, to your point, like when my husband

1002
00:52:59,480 --> 00:53:02,160
Speaker 1: comes home from work, for example, he's all like he

1003
00:53:02,200 --> 00:53:04,520
Speaker 1: doesn't have to worry about it. He's home, there's nothing

1004
00:53:04,560 --> 00:53:07,760
Speaker 1: to do, Like, you know, I'm just like constantly racking

1005
00:53:07,800 --> 00:53:10,080
Speaker 1: my brain of like what's happening. I gotta check my

1006
00:53:10,120 --> 00:53:12,680
Speaker 1: emails all the time. Whatever. But you trade it off

1007
00:53:12,719 --> 00:53:14,880
Speaker 1: because you have the flexibility you want. You own your

1008
00:53:14,880 --> 00:53:17,960
Speaker 1: own business, you're building your own brand, and that's what

1009
00:53:18,040 --> 00:53:19,040
Speaker 1: makes it all worth it.

1010
00:53:19,239 --> 00:53:21,399
Speaker 2: Yeah, it's it for the most part.

1011
00:53:21,480 --> 00:53:25,399
Speaker 1: It's good. It's good for them. There's days worth Yeah,

1012
00:53:25,480 --> 00:53:26,760
Speaker 1: there's definitely.

1013
00:53:26,400 --> 00:53:28,960
Speaker 2: Days that you have a meltdown and you're just like,

1014
00:53:30,960 --> 00:53:34,080
Speaker 2: my life was so much easier back then. But it's good.

1015
00:53:34,120 --> 00:53:37,719
Speaker 1: Yeah, but whatever. We appreciate you guys very much though,

1016
00:53:37,760 --> 00:53:40,000
Speaker 1: and that's why you know, we love doing events like

1017
00:53:40,040 --> 00:53:41,880
Speaker 1: we did in Atlanta. That's why we look forward to

1018
00:53:41,920 --> 00:53:44,080
Speaker 1: events like crime Con. We get to meet so many

1019
00:53:44,120 --> 00:53:46,319
Speaker 1: of you and get to share what we're trying to

1020
00:53:46,360 --> 00:53:48,600
Speaker 1: do with you, and that's what makes it all worth it.

1021
00:53:48,840 --> 00:53:52,160
Speaker 2: No, you know what the best moment was ever at

1022
00:53:52,200 --> 00:53:54,640
Speaker 2: our meet and greet. So we had one of our

1023
00:53:54,719 --> 00:53:58,200
Speaker 2: listeners come all the way from Illinois. Hi, if you're listening.

1024
00:53:58,600 --> 00:54:00,920
Speaker 2: She came all the way. She's a nurse from Illinois,

1025
00:54:00,920 --> 00:54:03,520
Speaker 2: and she came all the way to see to meet

1026
00:54:03,600 --> 00:54:05,279
Speaker 2: us at the meet and greet, and we were just

1027
00:54:05,719 --> 00:54:11,279
Speaker 2: hanging out in a tavern situation and Gabe came at

1028
00:54:11,280 --> 00:54:14,000
Speaker 2: the end with the kids and sure enough, like we

1029
00:54:14,040 --> 00:54:17,879
Speaker 2: look over at Gabe and he's freaking eating hot dogs, right,

1030
00:54:18,320 --> 00:54:20,480
Speaker 2: And she looks over at him and she's like, yeah,

1031
00:54:20,560 --> 00:54:22,920
Speaker 2: I know from one of your last episodes that your

1032
00:54:23,000 --> 00:54:25,400
Speaker 2: husband likes hot dogs. And I look over at him

1033
00:54:25,440 --> 00:54:26,799
Speaker 2: and I'm like, yeah, I kind of called you a

1034
00:54:26,840 --> 00:54:28,719
Speaker 2: hot dog horror on one of the episodes. And he

1035
00:54:28,800 --> 00:54:30,640
Speaker 2: looked at me with like these eyes, like what are

1036
00:54:30,640 --> 00:54:34,400
Speaker 2: you talking about? But yeah, it's just like it just

1037
00:54:34,520 --> 00:54:37,080
Speaker 2: was really cool because I'm like, oh, like she like

1038
00:54:37,160 --> 00:54:39,239
Speaker 2: she was listening to us say that and then like

1039
00:54:39,400 --> 00:54:41,880
Speaker 2: noticed that he was eating them like that. It's just funny.

1040
00:54:42,360 --> 00:54:45,480
Speaker 1: Wasn't an exaggeration. He really is a hot dog hors.

1041
00:54:45,280 --> 00:54:48,879
Speaker 2: Yeah, it wasn't so all right, cool guys, Well, thanks

1042
00:54:48,960 --> 00:54:51,120
Speaker 2: for coming to our events. We hope we got some

1043
00:54:51,160 --> 00:54:53,359
Speaker 2: new listeners out of it too, because we got to

1044
00:54:53,360 --> 00:54:57,040
Speaker 2: meet such awesome people and also we met such cool

1045
00:54:57,040 --> 00:54:59,920
Speaker 2: people that we'll be able to have on the show. Friends,

1046
00:55:00,320 --> 00:55:06,440
Speaker 2: artists and just psychiatrists, all different reporters. Just it's like

1047
00:55:06,520 --> 00:55:08,959
Speaker 2: really cool people that we think you guys will really love.

1048
00:55:09,320 --> 00:55:11,680
Speaker 1: Yeah, and of course thank you to the Hateville Police

1049
00:55:11,680 --> 00:55:14,240
Speaker 1: Department for hosting your police training and to the Georgia

1050
00:55:14,320 --> 00:55:16,560
Speaker 1: Bandage Museum for hosting one of our lectures.

1051
00:55:16,600 --> 00:55:19,799
Speaker 2: It was fast, please, I was. When we were there,

1052
00:55:19,840 --> 00:55:21,879
Speaker 2: I was like so bummed out that we don't live

1053
00:55:21,920 --> 00:55:26,040
Speaker 2: near these people. I know, I was right, I know,

1054
00:55:26,280 --> 00:55:28,360
Speaker 2: I know. I was like, I love these guys. I

1055
00:55:28,400 --> 00:55:30,520
Speaker 2: want to see them more. So it was kind of

1056
00:55:30,800 --> 00:55:33,240
Speaker 2: and I'm just like, you guys are like fourteen hours

1057
00:55:33,239 --> 00:55:36,319
Speaker 2: away from me. It was such a bumber though. They

1058
00:55:36,320 --> 00:55:37,160
Speaker 2: were so nice.

1059
00:55:37,600 --> 00:55:39,880
Speaker 1: Well, the good thing is is we're always taking road trips,

1060
00:55:39,880 --> 00:55:41,680
Speaker 1: so of course you could always try to make that

1061
00:55:41,760 --> 00:55:43,640
Speaker 1: a stop and yep in there and visit. If you

1062
00:55:43,640 --> 00:55:44,880
Speaker 1: guys live, we'll be back.

1063
00:55:45,120 --> 00:55:47,640
Speaker 2: Yeah, And they live near Stranger Things Land, which is

1064
00:55:47,680 --> 00:55:49,319
Speaker 2: always the destination for us.

1065
00:55:49,400 --> 00:55:52,480
Speaker 1: Right now, all right, guys, Well, thank you very much.

1066
00:55:52,520 --> 00:55:55,080
Speaker 1: It's definitely good to be back. If you're interested in

1067
00:55:55,120 --> 00:55:57,080
Speaker 1: crime con you could head over to the description of

1068
00:55:57,120 --> 00:55:59,120
Speaker 1: this episode ay of links for tickets or if you

1069
00:55:59,160 --> 00:56:01,120
Speaker 1: just want more and for me about it if you

1070
00:56:01,160 --> 00:56:01,640
Speaker 1: have reviewed.

1071
00:56:01,960 --> 00:56:03,600
Speaker 2: That is gonna be so good this year.

1072
00:56:04,000 --> 00:56:07,560
Speaker 1: Oh yeah, Marcia Clark is going, which I'm already dying.

1073
00:56:07,640 --> 00:56:11,960
Speaker 1: Beth Karris, who's my new Nancy's going, So I'm very excited.

1074
00:56:12,000 --> 00:56:14,279
Speaker 2: She did a lot with you know, I remember you

1075
00:56:14,360 --> 00:56:16,920
Speaker 2: said that she did a lot with the Jodie Trial.

1076
00:56:16,960 --> 00:56:17,799
Speaker 2: I know who she is.

1077
00:56:18,400 --> 00:56:20,799
Speaker 1: Yeah, I think it's going to be absolutely incredible. They

1078
00:56:20,800 --> 00:56:23,799
Speaker 1: haven't even finished announcing everybody that's going, so like, we're

1079
00:56:23,880 --> 00:56:25,880
Speaker 1: kind of in the darkness as much as you, guys,

1080
00:56:25,920 --> 00:56:28,680
Speaker 1: but I'm fangirling just as much every time they make

1081
00:56:28,760 --> 00:56:32,280
Speaker 1: new announcements of like, oh my god, I can't wait together.

1082
00:56:32,960 --> 00:56:36,640
Speaker 2: Yeah, exactly. It's it's it's awesome. It's like the coolest

1083
00:56:36,680 --> 00:56:38,840
Speaker 2: thing ever that you could just go in one spot

1084
00:56:38,920 --> 00:56:42,640
Speaker 2: and really see, especially if you're a true crime person,

1085
00:56:42,920 --> 00:56:46,759
Speaker 2: like you could see twenty people that you know in

1086
00:56:46,800 --> 00:56:48,240
Speaker 2: this world. It's just so cool.

1087
00:56:48,360 --> 00:56:51,920
Speaker 1: So yeah, it's a really unique experience and It's awesome

1088
00:56:51,960 --> 00:56:54,000
Speaker 1: that they're able to put something like that together. And

1089
00:56:54,040 --> 00:56:56,160
Speaker 1: it's gonna be in Denver, which is such a beautiful

1090
00:56:56,200 --> 00:56:56,719
Speaker 1: city too.

1091
00:56:57,360 --> 00:56:58,000
Speaker 2: I've never been.

1092
00:56:58,880 --> 00:57:01,400
Speaker 1: You're gonna like it, all right, guys. Well, if you

1093
00:57:01,440 --> 00:57:04,040
Speaker 1: have reviews for us, please head over to Apple or Spotify.

1094
00:57:04,120 --> 00:57:06,360
Speaker 1: Please subscribe to our YouTube channel, and if you have

1095
00:57:06,400 --> 00:57:08,399
Speaker 1: a story for us, please submit it to stories at

1096
00:57:08,440 --> 00:57:09,840
Speaker 1: Mothernosdeath dot com.

1097
00:57:10,160 --> 00:57:16,400
Speaker 2: Say you, guys, thank you for listening to Mother nos Death.

1098
00:57:17,080 --> 00:57:20,800
Speaker 2: As a reminder, my training is as a pathologist's assistant.

1099
00:57:21,600 --> 00:57:25,040
Speaker 2: I have a master's level education and specialize in anatomy

1100
00:57:25,080 --> 00:57:28,680
Speaker 2: and pathology education. I am not a doctor and I

1101
00:57:28,720 --> 00:57:32,560
Speaker 2: have not diagnosed or treated anyone dead or alive without

1102
00:57:32,560 --> 00:57:37,960
Speaker 2: the assistance of a licensed medical doctor. This show, my website,

1103
00:57:38,040 --> 00:57:41,400
Speaker 2: and social media accounts are designed to educate and inform

1104
00:57:41,480 --> 00:57:45,720
Speaker 2: people based on my experience working in pathology, so they

1105
00:57:45,760 --> 00:57:49,160
Speaker 2: can make healthier decisions regarding their life and well being.

1106
00:57:50,280 --> 00:57:53,120
Speaker 2: Always remember that science is changing every day and the

1107
00:57:53,200 --> 00:57:56,480
Speaker 2: opinions expressed in this episode are based on my knowledge

1108
00:57:56,520 --> 00:58:00,240
Speaker 2: of those subjects at the time of publication. If you

1109
00:58:00,280 --> 00:58:04,080
Speaker 2: are having a medical problem, have a medical question, or

1110
00:58:04,280 --> 00:58:08,520
Speaker 2: having a medical emergency, please contact your physician, or visit

1111
00:58:08,560 --> 00:58:13,880
Speaker 2: an urgent care center, emergency room, or hospital. Please rate, review,

1112
00:58:14,000 --> 00:58:18,400
Speaker 2: and subscribe to Mother Knows Death on Apple, Spotify, YouTube,

1113
00:58:18,640 --> 00:58:20,200
Speaker 2: or anywhere you get podcasts.

1114
00:58:20,720 --> 00:58:26,560
Speaker 1: Thanks