1 00:00:08,119 --> 00:00:23,600 Speaker 1: Mother Knows Death starring Nicole and Jemmy and Maria qk. 2 00:00:20,680 --> 00:00:23,480 Speaker 2: Hi. Everyone, welcome to Mother Knows Death. I'm here with 3 00:00:23,560 --> 00:00:26,239 Speaker 2: Maria and we have so many great stories to get 4 00:00:26,280 --> 00:00:28,640 Speaker 2: into this week. So Ray, you want to get started 5 00:00:28,720 --> 00:00:33,080 Speaker 2: with Story of the Week. Yeah, So our first story 6 00:00:33,240 --> 00:00:35,839 Speaker 2: is about Jamie Lynn Spears. She is the sister of 7 00:00:36,080 --> 00:00:39,479 Speaker 2: pop culture icon Britney Spears. She has been on this 8 00:00:39,560 --> 00:00:43,559 Speaker 2: show called I'm a Celebrity, which is a British survival shows. 9 00:00:43,920 --> 00:00:44,479 Speaker 3: I feel like. 10 00:00:44,560 --> 00:00:48,080 Speaker 4: Jamie Lynn's always on these super bizarre shows. I don't know, 11 00:00:48,240 --> 00:00:51,199 Speaker 4: but I guess people wonder because of her name and 12 00:00:51,240 --> 00:00:54,640 Speaker 4: who she is and everything. But on the show, she 13 00:00:54,920 --> 00:00:57,440 Speaker 4: was kind of talking about her family life and everything. 14 00:00:57,480 --> 00:01:02,080 Speaker 4: And then with her camp mates, so she was getting 15 00:01:02,160 --> 00:01:05,080 Speaker 4: into a conversation about her family life and told this 16 00:01:05,160 --> 00:01:08,880 Speaker 4: really scary story about an incident that happened with her 17 00:01:08,920 --> 00:01:12,039 Speaker 4: oldest daughter where she was on a side by side 18 00:01:12,080 --> 00:01:15,400 Speaker 4: and got trapped under the side by side in water. 19 00:01:15,760 --> 00:01:18,720 Speaker 2: It was there she was in a pond at the 20 00:01:19,280 --> 00:01:22,200 Speaker 2: at their house that they frequently used this side by 21 00:01:22,280 --> 00:01:23,120 Speaker 2: side boat. 22 00:01:24,520 --> 00:01:27,399 Speaker 4: Yeah, so it was this pond. She gets trapped in 23 00:01:27,440 --> 00:01:30,600 Speaker 4: this pond and they were freaking out. They couldn't get 24 00:01:30,640 --> 00:01:34,759 Speaker 4: her out from underneath, and they had believed she had died, 25 00:01:34,920 --> 00:01:37,960 Speaker 4: and her so much so that her mother in law 26 00:01:37,959 --> 00:01:39,920 Speaker 4: even called her mother and said they had lost the 27 00:01:40,000 --> 00:01:42,160 Speaker 4: child who was eight or nine years old. Think of 28 00:01:42,200 --> 00:01:45,520 Speaker 4: how scary that is. That's how old Lulu is. And 29 00:01:45,560 --> 00:01:48,000 Speaker 4: then it turns out that a fireman was able to 30 00:01:48,040 --> 00:01:51,400 Speaker 4: resuscitate her and get her pulse back. She went to 31 00:01:51,440 --> 00:01:53,640 Speaker 4: the hospital and she is okay today. 32 00:01:53,960 --> 00:01:56,440 Speaker 2: So I have a couple questions. They said that she 33 00:01:56,640 --> 00:02:00,880 Speaker 2: was trapped underneath of a safety net, and I'm not 34 00:02:01,000 --> 00:02:03,040 Speaker 2: really familiar with boats, so when I looked up a 35 00:02:03,080 --> 00:02:05,240 Speaker 2: safety net of a side by side, it just looks 36 00:02:05,240 --> 00:02:07,960 Speaker 2: like it's something that goes around the edge of the 37 00:02:08,000 --> 00:02:11,200 Speaker 2: boat to prevent kids from falling into the water. So 38 00:02:11,360 --> 00:02:14,320 Speaker 2: I'm not sure why there was a net underneath of 39 00:02:14,360 --> 00:02:16,840 Speaker 2: the boat that the girl was able to get stuck in. 40 00:02:17,400 --> 00:02:19,799 Speaker 2: But like you said, she said she was pulling at 41 00:02:19,800 --> 00:02:22,640 Speaker 2: her arm and was not able to get her out 42 00:02:22,639 --> 00:02:24,960 Speaker 2: of the water. And luckily the mother in law had 43 00:02:25,000 --> 00:02:28,560 Speaker 2: called nine one one, so when first responders came, they 44 00:02:28,639 --> 00:02:33,080 Speaker 2: really were giving her CPR right away, and they said 45 00:02:33,160 --> 00:02:36,959 Speaker 2: that when she was declared dead. When they went there, 46 00:02:37,080 --> 00:02:39,280 Speaker 2: they said that she was in cardiac arrest and she 47 00:02:39,400 --> 00:02:42,800 Speaker 2: had no pulse, so they were able to bring her back. 48 00:02:43,720 --> 00:02:46,359 Speaker 2: I thought a funny part of the story was that 49 00:02:47,280 --> 00:02:51,360 Speaker 2: Jamie Lynn said that she was incubated, and she probably 50 00:02:51,400 --> 00:02:55,240 Speaker 2: meant that she was intubated, because you wouldn't put you 51 00:02:55,280 --> 00:02:58,920 Speaker 2: wouldn't you wouldn't even have an incubator in that situation. 52 00:02:59,440 --> 00:03:05,119 Speaker 2: But aside from that, what happens when it's actually it's 53 00:03:05,160 --> 00:03:08,760 Speaker 2: actually crazy because we hear about a kid drowning, and 54 00:03:08,800 --> 00:03:12,200 Speaker 2: we always hear about the deaths that occur, and there 55 00:03:12,240 --> 00:03:15,959 Speaker 2: are a lot of deaths. Worldwide, there's about three hundred 56 00:03:15,960 --> 00:03:19,360 Speaker 2: and sixty thousand drowning deaths a year, and in the 57 00:03:19,520 --> 00:03:22,880 Speaker 2: United States there's about fifty four hundred of them. But 58 00:03:23,400 --> 00:03:27,080 Speaker 2: most of the accidents that occur with drowning actually are 59 00:03:27,120 --> 00:03:31,320 Speaker 2: people who who survive, which is kind of shocking to hear, right, 60 00:03:31,919 --> 00:03:34,760 Speaker 2: And what happens is when you go in the water 61 00:03:35,040 --> 00:03:38,280 Speaker 2: and you realize that you're in a situation, the first 62 00:03:38,280 --> 00:03:41,800 Speaker 2: thing that you do is you start freaking out and panicking, 63 00:03:42,320 --> 00:03:45,839 Speaker 2: and when you do that, it increases your respiratory rate, 64 00:03:45,920 --> 00:03:49,080 Speaker 2: and then that means that you're just sucking in more water. Basically, 65 00:03:49,760 --> 00:03:51,960 Speaker 2: when you suck in all that water, you can't get 66 00:03:51,960 --> 00:03:55,680 Speaker 2: any oxygen to your heart, to your organs, and to 67 00:03:55,760 --> 00:03:59,400 Speaker 2: your brain, and you eventually can become unconscious and die 68 00:03:59,440 --> 00:04:03,840 Speaker 2: because of that. And in this situation, luckily, when the 69 00:04:03,880 --> 00:04:06,400 Speaker 2: first responders came, they were able to pump her heart 70 00:04:06,480 --> 00:04:08,960 Speaker 2: for her to do CPR and get oxygen to her 71 00:04:09,080 --> 00:04:13,280 Speaker 2: organs enough to metavac her to the hospital. And Jamie 72 00:04:13,320 --> 00:04:15,120 Speaker 2: Lynn was saying that when she got to the hospital, 73 00:04:15,120 --> 00:04:18,880 Speaker 2: the priest was giving her her final like last rites 74 00:04:19,000 --> 00:04:22,240 Speaker 2: or whatever, and she sprung up out of bed and 75 00:04:22,520 --> 00:04:25,280 Speaker 2: was got better each day until she was released. It's 76 00:04:25,360 --> 00:04:29,040 Speaker 2: just it really is. It really is a miracle that 77 00:04:29,360 --> 00:04:31,240 Speaker 2: the kid's alive, to be honest. 78 00:04:32,040 --> 00:04:34,840 Speaker 4: Yeah, So my question I guess is was she riding 79 00:04:34,880 --> 00:04:37,279 Speaker 4: this side by side alone or was she with a 80 00:04:37,360 --> 00:04:41,680 Speaker 4: parent and it tipped over? Because these are extremely heavy vehicles, 81 00:04:41,760 --> 00:04:43,760 Speaker 4: you know, they're like we have them up the mountains. 82 00:04:43,800 --> 00:04:48,160 Speaker 4: They're really strong vehicles. They go really fast. It's definitely 83 00:04:48,160 --> 00:04:50,640 Speaker 4: no place for a kid. Even though I feel like 84 00:04:50,680 --> 00:04:53,920 Speaker 4: people have this misconception that children can drive golf carts 85 00:04:53,960 --> 00:04:54,880 Speaker 4: and the other small. 86 00:04:54,720 --> 00:04:56,960 Speaker 2: Wait, so this is what happened. The thing tipped over. 87 00:04:58,279 --> 00:05:01,120 Speaker 2: I'm just like really confused by this story because I 88 00:05:01,200 --> 00:05:03,440 Speaker 2: thought that that they were on the boat and the 89 00:05:03,560 --> 00:05:06,680 Speaker 2: kids somehow got under the boat. But you're saying it, no. 90 00:05:06,600 --> 00:05:08,039 Speaker 3: So it's not a boat. 91 00:05:08,080 --> 00:05:10,640 Speaker 4: It's like a go kart type of thing you drive 92 00:05:10,720 --> 00:05:12,080 Speaker 4: around side. 93 00:05:12,400 --> 00:05:14,480 Speaker 2: Yeah, but it's a boat. They were in the pond. 94 00:05:15,320 --> 00:05:17,599 Speaker 2: There's water ones, that's what I'm saying, Like they're different 95 00:05:17,640 --> 00:05:18,240 Speaker 2: ones for a while. 96 00:05:19,040 --> 00:05:21,800 Speaker 4: That's why I thought they were driving the go kart 97 00:05:22,040 --> 00:05:24,760 Speaker 4: around the pond and then it tipped over into the 98 00:05:24,800 --> 00:05:27,440 Speaker 4: pond and she got trapped in the pond under the. 99 00:05:27,600 --> 00:05:31,159 Speaker 2: I'm not really sure there are side by side boats 100 00:05:31,200 --> 00:05:34,880 Speaker 2: it seems that have big kind of inflatable things under them. 101 00:05:34,920 --> 00:05:37,240 Speaker 2: But if it did, if it did tip over and 102 00:05:37,279 --> 00:05:39,359 Speaker 2: then she was caught, that would make perfect sense that 103 00:05:39,440 --> 00:05:41,640 Speaker 2: she was caught underneath of the safety net of it. 104 00:05:42,200 --> 00:05:45,040 Speaker 2: They don't really they're not really clear as to as 105 00:05:45,080 --> 00:05:48,800 Speaker 2: to how this happened. But it's when I read it 106 00:05:48,880 --> 00:05:51,120 Speaker 2: the story this week, I thought, oh, we we need 107 00:05:51,120 --> 00:05:54,039 Speaker 2: to talk about that, because that's that's really crazy that 108 00:05:54,040 --> 00:05:54,880 Speaker 2: that happened, you know. 109 00:05:56,240 --> 00:05:59,760 Speaker 4: Yeah, and it's it's sad that you know, it said 110 00:05:59,760 --> 00:06:03,119 Speaker 4: it happened. Thank goodness that the girl ended up being okay. 111 00:06:03,160 --> 00:06:04,839 Speaker 4: I mean, this was a couple of years ago, and 112 00:06:04,880 --> 00:06:07,360 Speaker 4: she said she's had no long term side effects from 113 00:06:07,360 --> 00:06:10,760 Speaker 4: it or anything. So it's kind of it's I find 114 00:06:10,800 --> 00:06:13,680 Speaker 4: it wild with how much this family's in the press 115 00:06:13,760 --> 00:06:16,080 Speaker 4: that this wasn't seemingly in the press before. 116 00:06:16,240 --> 00:06:17,919 Speaker 2: Yeah, it was like not at all, not even a 117 00:06:17,920 --> 00:06:19,800 Speaker 2: little bit. I think that's why I'm so shocked, because 118 00:06:19,800 --> 00:06:22,600 Speaker 2: I'm like, I had never heard this before, but yeah, 119 00:06:22,680 --> 00:06:25,520 Speaker 2: you can have long term pulmonary issues from this, uh, 120 00:06:25,839 --> 00:06:29,080 Speaker 2: neurological issues, and she they say she's fine. I mean, 121 00:06:29,480 --> 00:06:31,680 Speaker 2: who knows. We could be the judge of that if 122 00:06:31,680 --> 00:06:34,920 Speaker 2: we ever get to see her talk or whatever. But yeah, 123 00:06:35,040 --> 00:06:36,160 Speaker 2: I yeah, it's nuts. 124 00:06:37,320 --> 00:06:38,120 Speaker 3: Yeah. Absolutely. 125 00:06:38,160 --> 00:06:40,680 Speaker 4: So let's move into our celebrity section, with our first 126 00:06:40,720 --> 00:06:44,360 Speaker 4: story being about Stephen Colbert. It seems that after their 127 00:06:44,400 --> 00:06:46,680 Speaker 4: Thanksgiving break, they were supposed to return to the Late 128 00:06:46,800 --> 00:06:50,280 Speaker 4: night show this week to continue doing their shows, and 129 00:06:50,320 --> 00:06:54,120 Speaker 4: they put the show on pause because his appendix ruptured 130 00:06:54,160 --> 00:06:55,560 Speaker 4: and he had to undergo surgery. 131 00:06:55,839 --> 00:06:58,520 Speaker 2: Okay, so he put out a quote that said, I'm 132 00:06:58,520 --> 00:07:02,640 Speaker 2: sure you're thinking to turkey over eating or gravy boat capsize. 133 00:07:02,680 --> 00:07:07,159 Speaker 2: Actually I'm recovering from surgery from a ruptured appendix, but 134 00:07:07,360 --> 00:07:09,920 Speaker 2: I'm here to tell you that it could be related 135 00:07:09,960 --> 00:07:12,240 Speaker 2: to eating too much turkey. So let me tell you 136 00:07:12,680 --> 00:07:15,960 Speaker 2: why I think that. So let's first talk about the 137 00:07:16,080 --> 00:07:20,400 Speaker 2: anatomy of the appendix. It's we in pathology describe it 138 00:07:20,440 --> 00:07:23,360 Speaker 2: as vermiform because it is it looks like a worm, 139 00:07:24,240 --> 00:07:27,080 Speaker 2: and it really is about the size of your pinky finger, 140 00:07:27,320 --> 00:07:29,560 Speaker 2: and it's just like this little thing that hangs off 141 00:07:29,600 --> 00:07:31,840 Speaker 2: of a part of your large bowt that's called the secum, 142 00:07:31,840 --> 00:07:34,520 Speaker 2: which is where you're small intestine and your large intestine meat. 143 00:07:35,200 --> 00:07:39,800 Speaker 2: And it's anatomic structure, is not a hundred or function. 144 00:07:39,880 --> 00:07:43,280 Speaker 2: It's not one hundred percent known. Back in the day, 145 00:07:43,320 --> 00:07:45,160 Speaker 2: they just used to think it was nothing and they 146 00:07:45,200 --> 00:07:48,920 Speaker 2: would cut it off and that's it. Many of us 147 00:07:49,000 --> 00:07:51,200 Speaker 2: know people that have had their appendix removed, and obviously 148 00:07:51,240 --> 00:07:52,960 Speaker 2: they're still alive, so you don't need it to live. 149 00:07:53,040 --> 00:07:55,320 Speaker 2: So there's just always been this question like, well, why 150 00:07:55,320 --> 00:07:57,120 Speaker 2: do we have it if we don't need it, And 151 00:07:57,160 --> 00:07:59,080 Speaker 2: it turns out that we do need it. It does 152 00:07:59,160 --> 00:08:03,360 Speaker 2: provide some immune function, so it's not something you just 153 00:08:03,400 --> 00:08:05,480 Speaker 2: want to totally throw in the trash. You only want 154 00:08:05,480 --> 00:08:07,720 Speaker 2: to remove it if you really if you really need to. 155 00:08:08,480 --> 00:08:11,440 Speaker 2: But it's also an anatom what I like to call 156 00:08:11,520 --> 00:08:14,240 Speaker 2: like an anatomical poor design. We have a couple of 157 00:08:14,240 --> 00:08:16,720 Speaker 2: these things in our bodies. This is one of them. 158 00:08:16,800 --> 00:08:20,560 Speaker 2: It's so imagine your pinky finger had a hole going 159 00:08:20,600 --> 00:08:22,960 Speaker 2: through it that didn't go all the way out, so 160 00:08:23,240 --> 00:08:25,480 Speaker 2: there was like a straw going through it, but it 161 00:08:25,560 --> 00:08:28,480 Speaker 2: was blocked off at the end. This little thing is 162 00:08:28,520 --> 00:08:31,680 Speaker 2: hanging off this pouch of your large bell. So what 163 00:08:31,800 --> 00:08:34,959 Speaker 2: happens is when you eat and your food starts turning 164 00:08:35,000 --> 00:08:37,840 Speaker 2: into poop and it goes into your large bell, the 165 00:08:37,880 --> 00:08:40,959 Speaker 2: poop gets stuck in this hole. It happens. It happens 166 00:08:41,000 --> 00:08:43,000 Speaker 2: to everyone. It has to because it's an opening that 167 00:08:43,280 --> 00:08:46,720 Speaker 2: poop could seep into, right, but the poop can stay 168 00:08:46,720 --> 00:08:49,360 Speaker 2: there and it can accumulate and call cause something called 169 00:08:49,440 --> 00:08:54,280 Speaker 2: a fecal lith which is a poop rock basically, and 170 00:08:54,600 --> 00:08:57,440 Speaker 2: that could cause like chronic irritation to the inside of 171 00:08:57,440 --> 00:09:01,040 Speaker 2: the appendix, to the point where in infection can occur. 172 00:09:01,120 --> 00:09:03,959 Speaker 2: Because there's lots of bacteria in the poop too, And 173 00:09:04,520 --> 00:09:07,400 Speaker 2: usually when people have that happen, they feel a tremendous 174 00:09:07,440 --> 00:09:09,640 Speaker 2: amount of pain and they go to the hospital. But 175 00:09:10,080 --> 00:09:14,520 Speaker 2: sometimes people ignore the pain. Sometimes people it just happens 176 00:09:14,520 --> 00:09:16,840 Speaker 2: really fast. But what could happen is that the appendix 177 00:09:16,880 --> 00:09:19,520 Speaker 2: could rupture or it could burst, and now all that 178 00:09:19,559 --> 00:09:21,840 Speaker 2: poop that's inside your colon is now going inside of 179 00:09:21,840 --> 00:09:27,360 Speaker 2: your sterile abdominal cavity, which can get into your blood 180 00:09:27,440 --> 00:09:30,760 Speaker 2: and your organs and cause sepsis and can kill you 181 00:09:30,840 --> 00:09:34,360 Speaker 2: really and so even though you don't need your appendix 182 00:09:34,360 --> 00:09:37,040 Speaker 2: to live, your appendix can be the cause of your death, 183 00:09:37,080 --> 00:09:40,880 Speaker 2: which is kind of weird. But the reason that I 184 00:09:40,920 --> 00:09:43,320 Speaker 2: want to tell Stephen Colbert that yeah, it could be 185 00:09:43,360 --> 00:09:47,200 Speaker 2: from Thanksgiving is because I don't know about you, but 186 00:09:47,320 --> 00:09:50,320 Speaker 2: normally I never eat that amount of food in one day, 187 00:09:50,360 --> 00:09:55,480 Speaker 2: except really on Thanksgiving, right, So it's likely that just 188 00:09:55,520 --> 00:09:58,040 Speaker 2: eating a large volume of food that you're not used 189 00:09:58,080 --> 00:10:00,800 Speaker 2: to could have been the final thing that pushed that 190 00:10:01,480 --> 00:10:02,440 Speaker 2: poop rock through. 191 00:10:03,800 --> 00:10:06,880 Speaker 4: I mean, I definitely ate at least three times the 192 00:10:06,920 --> 00:10:09,280 Speaker 4: portion of my normal dinner. And then I had two 193 00:10:09,320 --> 00:10:11,679 Speaker 4: pieces of pie, and then I had coffee, and then 194 00:10:11,720 --> 00:10:12,920 Speaker 4: an hour later I had more. 195 00:10:13,280 --> 00:10:17,440 Speaker 2: Yeah, exactly. That's so I think that you could agree, 196 00:10:17,480 --> 00:10:19,640 Speaker 2: like I didn't sleep well that night, Gave didn't sleep 197 00:10:19,720 --> 00:10:21,839 Speaker 2: well that night. It's just it kind of is a 198 00:10:21,920 --> 00:10:23,880 Speaker 2: little bit of a different thing that you're doing to 199 00:10:23,920 --> 00:10:27,120 Speaker 2: your body. So I wouldn't be surprised if that was 200 00:10:27,160 --> 00:10:27,800 Speaker 2: the cause of it. 201 00:10:29,040 --> 00:10:32,920 Speaker 4: No, absolutely so onto Linda Evangelisa. We love some of 202 00:10:32,960 --> 00:10:38,079 Speaker 4: her quotes over here Mother Knows Death. Her first notable 203 00:10:38,160 --> 00:10:40,200 Speaker 4: quote was I don't get out of bed for less 204 00:10:40,240 --> 00:10:42,840 Speaker 4: than ten thousand dollars a day, which that was in 205 00:10:42,920 --> 00:10:43,600 Speaker 4: the nineties. 206 00:10:43,640 --> 00:10:46,120 Speaker 2: She said that, right, I know, and I think I 207 00:10:46,160 --> 00:10:48,600 Speaker 2: actually think about that all the time because I'm just like, damn, 208 00:10:48,640 --> 00:10:51,760 Speaker 2: that's still like a lot of money for regular people today. 209 00:10:51,840 --> 00:10:53,960 Speaker 2: So imagine how she was. 210 00:10:54,040 --> 00:10:54,440 Speaker 3: I know it. 211 00:10:54,480 --> 00:10:58,080 Speaker 2: But let's get so the quote that she has this week. 212 00:10:58,120 --> 00:11:02,080 Speaker 2: There's a reason that we're talking about this because back 213 00:11:02,120 --> 00:11:06,800 Speaker 2: a couple months ago, we had talked about when when 214 00:11:07,160 --> 00:11:09,600 Speaker 2: Linda Evangelista came out. So there was like this big 215 00:11:09,640 --> 00:11:14,080 Speaker 2: People magazine article because she had been like in hiding 216 00:11:14,120 --> 00:11:18,440 Speaker 2: apparently for five years because she had a botched surgical procedure, 217 00:11:19,040 --> 00:11:23,360 Speaker 2: and so ray tell them about what she said this week? 218 00:11:24,760 --> 00:11:28,320 Speaker 4: Okay, So just a quick overview. In twenty sixteen, she 219 00:11:28,360 --> 00:11:32,120 Speaker 4: had a cool sculpting procedure. It ended up being botched. 220 00:11:32,400 --> 00:11:35,360 Speaker 4: In twenty twenty one, she sued the company that was 221 00:11:35,400 --> 00:11:39,240 Speaker 4: promoting the I guess the technology used for it. And 222 00:11:39,280 --> 00:11:42,880 Speaker 4: then it's relevant this week because she was talking about us. 223 00:11:42,920 --> 00:11:45,840 Speaker 4: She hasn't dated since before the cool sculpting incident. And 224 00:11:45,840 --> 00:11:48,080 Speaker 4: the quote that most people are pulling from this, which 225 00:11:48,120 --> 00:11:52,000 Speaker 4: is incredible, is I don't want to hear somebody breathing, which. 226 00:11:51,880 --> 00:11:53,720 Speaker 3: Is why she wouldn't say anyone. 227 00:11:53,840 --> 00:11:58,400 Speaker 2: It's so great. It's she is the master of amazing, 228 00:11:58,920 --> 00:12:02,720 Speaker 2: unrelatable but super related. Yeah, I mean, I mean, first 229 00:12:02,760 --> 00:12:04,640 Speaker 2: of all, I wish I could say I don't get 230 00:12:04,679 --> 00:12:06,760 Speaker 2: out of bed for ten thousand dollars, but like that's 231 00:12:06,760 --> 00:12:09,280 Speaker 2: not reality. But yeah, the breathing thing is, it's it's 232 00:12:09,360 --> 00:12:12,760 Speaker 2: kind of hilarious. But let's talk about cool sculpting for 233 00:12:12,840 --> 00:12:15,760 Speaker 2: people that don't know about this. So it's a great 234 00:12:15,920 --> 00:12:20,640 Speaker 2: alternative to lightpo suction because with liposuction you actually have 235 00:12:20,720 --> 00:12:23,480 Speaker 2: to enter the body and then there's risks associated with 236 00:12:23,520 --> 00:12:26,440 Speaker 2: that surgery. There's a lot more downtime, and with cool 237 00:12:26,480 --> 00:12:30,199 Speaker 2: sculpting it could be done in a physician's office, and 238 00:12:30,840 --> 00:12:34,040 Speaker 2: the technology is is that they realize that fat cells 239 00:12:34,960 --> 00:12:40,840 Speaker 2: can freeze really fast, whereas that freezing doesn't affect skin nerves, 240 00:12:40,880 --> 00:12:44,160 Speaker 2: blood vessels, which are also present in the skin. So 241 00:12:44,200 --> 00:12:47,000 Speaker 2: they thought, hey, if we're able to freeze the fat 242 00:12:47,160 --> 00:12:50,960 Speaker 2: and make it lce or go away, then we have 243 00:12:51,080 --> 00:12:53,920 Speaker 2: ourselves like a procedure to help people get rid of 244 00:12:53,960 --> 00:12:57,280 Speaker 2: like small patches of cellulate that they don't want. So 245 00:12:57,600 --> 00:13:01,480 Speaker 2: she had it cellulate and fat. So I'm trying to 246 00:13:01,480 --> 00:13:03,720 Speaker 2: see where she she had it done on her, like 247 00:13:03,760 --> 00:13:06,960 Speaker 2: her chin or butt, like all different areas on her body, right, 248 00:13:07,600 --> 00:13:11,240 Speaker 2: And what happens is instead of like looking in the 249 00:13:11,240 --> 00:13:13,480 Speaker 2: mirror and being like, damn, I look good after having 250 00:13:13,520 --> 00:13:17,840 Speaker 2: this this procedure done, instead she started noticing she had 251 00:13:17,880 --> 00:13:22,760 Speaker 2: these big, like fat globules in these areas. And when 252 00:13:22,800 --> 00:13:25,120 Speaker 2: she went back to the doctor, she was diagnosed with 253 00:13:25,160 --> 00:13:29,520 Speaker 2: something called paradoxial adipos hyperplasia. So let's bring break down 254 00:13:29,559 --> 00:13:34,920 Speaker 2: that paradoxial means that whatever treatment you had is kind 255 00:13:34,920 --> 00:13:38,160 Speaker 2: of having the opposite effect. So instead of licing all 256 00:13:38,200 --> 00:13:40,560 Speaker 2: of the blood cells and making them go away, it 257 00:13:40,640 --> 00:13:45,640 Speaker 2: actually is making them bigger that's what paradoxial means. Atipost 258 00:13:46,080 --> 00:13:49,559 Speaker 2: is another word for fat cells, and hyperplasia just means 259 00:13:50,120 --> 00:13:53,679 Speaker 2: that there are more fat cells. And this is what 260 00:13:53,800 --> 00:13:57,280 Speaker 2: she was experiencing, and it is a known side effect. 261 00:13:57,440 --> 00:13:59,800 Speaker 2: Everybody knows about it before they get the procedure done. 262 00:13:59,840 --> 00:14:01,560 Speaker 2: Of course, nobody thinks it's going to happen to them, 263 00:14:01,559 --> 00:14:03,760 Speaker 2: and it doesn't happen to most people, but it happened 264 00:14:03,800 --> 00:14:07,200 Speaker 2: to her. And the reason that it really sucks is 265 00:14:07,240 --> 00:14:09,959 Speaker 2: because you sometimes you can't get rid of it, like 266 00:14:10,400 --> 00:14:13,640 Speaker 2: you can't exercise, diet, nothing to get rid of it. 267 00:14:13,720 --> 00:14:17,839 Speaker 2: And then oftentimes you can get liposuction sometimes to get 268 00:14:17,920 --> 00:14:21,760 Speaker 2: rid of it, which Linda Evangelisa did actually, and then 269 00:14:21,800 --> 00:14:25,800 Speaker 2: it came back. So she sued the company because she 270 00:14:26,640 --> 00:14:30,400 Speaker 2: thinks that she's permanently deformed. Although it was. 271 00:14:30,280 --> 00:14:34,040 Speaker 3: She fifty, she I'm not totally sure. 272 00:14:34,040 --> 00:14:34,760 Speaker 2: I forget how old. 273 00:14:34,840 --> 00:14:35,560 Speaker 3: Probably around. 274 00:14:35,640 --> 00:14:37,960 Speaker 2: So she's fifty eight, it says, So she's fifty eight, 275 00:14:38,280 --> 00:14:41,000 Speaker 2: and she looks better than like any fifty eight year 276 00:14:41,040 --> 00:14:43,520 Speaker 2: old I've ever seen. Obviously I don't see her naked 277 00:14:43,560 --> 00:14:46,200 Speaker 2: and stuff, but she's saying, I mean, she's a model 278 00:14:46,240 --> 00:14:48,240 Speaker 2: for a living, so she's saying it affects her career, 279 00:14:48,440 --> 00:14:53,160 Speaker 2: and I don't I'm not like a huge fan of 280 00:14:53,200 --> 00:14:56,280 Speaker 2: sewing for something that has known complications. But if it 281 00:14:56,400 --> 00:14:59,560 Speaker 2: was because the technology wasn't used properly or something, or 282 00:14:59,720 --> 00:15:03,320 Speaker 2: they're was neglect in some way, then I could see that. Yeah. 283 00:15:03,320 --> 00:15:06,840 Speaker 4: I mean, she's still incredibly gorgeous. Another thing they touched 284 00:15:06,840 --> 00:15:09,760 Speaker 4: on in this article was that she said she doesn't 285 00:15:09,760 --> 00:15:13,000 Speaker 4: look in the mirror anymore, really since because she and 286 00:15:13,080 --> 00:15:15,440 Speaker 4: I understand she could still be the world's most beautiful 287 00:15:15,440 --> 00:15:17,960 Speaker 4: woman and be uncomfortable in her own body. So it's 288 00:15:18,360 --> 00:15:20,800 Speaker 4: kind of te each your own. But she was saying 289 00:15:20,800 --> 00:15:22,880 Speaker 4: how she doesn't really look in the mirror anymore. And 290 00:15:22,960 --> 00:15:25,840 Speaker 4: another quote I found awesome was she said, but life 291 00:15:25,880 --> 00:15:27,120 Speaker 4: is better without mirrors. 292 00:15:27,600 --> 00:15:32,320 Speaker 2: Wow, Well, she can also just be having Like imagine 293 00:15:32,320 --> 00:15:34,600 Speaker 2: being younger and being the hottest thing in the world 294 00:15:34,680 --> 00:15:37,600 Speaker 2: and then you're just like every single person. I mean, 295 00:15:37,640 --> 00:15:39,600 Speaker 2: I'm forty four, and every single time I look in 296 00:15:39,640 --> 00:15:42,200 Speaker 2: the mirror, I'm just like, oh God, it's happening. It's happening, 297 00:15:42,280 --> 00:15:42,920 Speaker 2: you know, like. 298 00:15:43,080 --> 00:15:46,280 Speaker 4: Oh my god, you're being so ridiculous. It's like she 299 00:15:46,480 --> 00:15:50,000 Speaker 4: is still one of the most stunning people. Ever, even 300 00:15:50,040 --> 00:15:52,560 Speaker 4: though she's getting older, and even if she touched it. 301 00:15:52,600 --> 00:15:55,480 Speaker 2: It doesn't matter, though, are you The thing is, though, 302 00:15:55,560 --> 00:15:57,600 Speaker 2: is that you're young and you don't understand, but when 303 00:15:57,600 --> 00:16:00,440 Speaker 2: you get older you start seeing it. And that could 304 00:16:00,520 --> 00:16:02,520 Speaker 2: just be. That could just be a thing that would 305 00:16:02,520 --> 00:16:03,840 Speaker 2: have happened to her regardless. 306 00:16:03,880 --> 00:16:06,000 Speaker 3: So people think you're younger than me. 307 00:16:07,480 --> 00:16:09,920 Speaker 2: I might be. We might have switched each other. All right, 308 00:16:10,040 --> 00:16:12,200 Speaker 2: let's get into freak accidents. 309 00:16:12,880 --> 00:16:16,720 Speaker 4: This story is I always, and not always, I occasionally 310 00:16:16,760 --> 00:16:19,240 Speaker 4: see a story like this and I think it's so crazy. 311 00:16:19,280 --> 00:16:20,480 Speaker 3: So there's this. 312 00:16:20,480 --> 00:16:23,680 Speaker 4: Chain of salad places called Chopped. We actually ordered lunch 313 00:16:23,720 --> 00:16:24,480 Speaker 4: from one one time. 314 00:16:24,520 --> 00:16:25,560 Speaker 3: That sucked. 315 00:16:26,360 --> 00:16:28,840 Speaker 2: Yeah we were We weren't a fan, so whatever, Like 316 00:16:29,800 --> 00:16:30,640 Speaker 2: now I would. 317 00:16:30,440 --> 00:16:34,520 Speaker 4: Never get it after this, but now, yeah, exactly now, 318 00:16:34,640 --> 00:16:37,760 Speaker 4: I'm happy that we didn't continue our lunches there. So 319 00:16:37,800 --> 00:16:40,560 Speaker 4: this woman claims she was eating a salad and bit 320 00:16:40,600 --> 00:16:44,760 Speaker 4: into part of a severed finger, which I can't imagine 321 00:16:44,800 --> 00:16:47,320 Speaker 4: what that looks like with the finger looked like or anything. 322 00:16:47,360 --> 00:16:50,560 Speaker 4: But after an investigation, it showed that the manager of 323 00:16:50,600 --> 00:16:53,520 Speaker 4: the store was prepping arugula cutting it. I probably said 324 00:16:53,520 --> 00:17:01,240 Speaker 4: that weird, sorry, and I don't either say arugula or 325 00:17:01,280 --> 00:17:04,560 Speaker 4: a rugula, I don't know, whatever, we don't say right. Anyway, 326 00:17:04,800 --> 00:17:08,800 Speaker 4: he's cutting that type of lettuce, and he cut part 327 00:17:08,800 --> 00:17:10,919 Speaker 4: of his finger off, and even though he went to 328 00:17:10,960 --> 00:17:14,640 Speaker 4: the emergency room for it, the contaminated lettuce was still 329 00:17:14,640 --> 00:17:17,520 Speaker 4: served to customers and landed on the lap of this woman. 330 00:17:17,680 --> 00:17:21,720 Speaker 2: So I think, personally, if if if this manager I 331 00:17:21,720 --> 00:17:24,719 Speaker 2: think it was a female, actually was cutting was cutting 332 00:17:24,840 --> 00:17:30,439 Speaker 2: arugola rugula, I think that if if she went to 333 00:17:30,480 --> 00:17:34,200 Speaker 2: the emergency room, it was probably a significant a significant 334 00:17:34,200 --> 00:17:37,320 Speaker 2: cut and a significant chunk fell off, even if it. 335 00:17:37,320 --> 00:17:39,359 Speaker 4: Was that I had cut the tip of my finger 336 00:17:39,440 --> 00:17:41,959 Speaker 4: really bad at work a couple of times. 337 00:17:42,160 --> 00:17:45,120 Speaker 2: Yeah, but I mean it could have been pretty significant. 338 00:17:45,240 --> 00:17:48,640 Speaker 2: You don't know, right, but yeah, then it then they 339 00:17:48,800 --> 00:17:51,800 Speaker 2: just continued to serve this. So she went to the 340 00:17:51,800 --> 00:17:54,000 Speaker 2: hospital clearly didn't bring the tip of her finger that 341 00:17:54,080 --> 00:17:57,080 Speaker 2: she cut off, which is understandable because you're in shock, 342 00:17:57,119 --> 00:18:00,680 Speaker 2: you're bleeding a lot, and they serve it. And then 343 00:18:00,760 --> 00:18:03,600 Speaker 2: some woman is just like eating a salad at lunch 344 00:18:03,680 --> 00:18:06,080 Speaker 2: and you chew into something and pull it out and 345 00:18:06,119 --> 00:18:10,240 Speaker 2: figure out. I mean, listen, there's been many times like 346 00:18:10,320 --> 00:18:12,119 Speaker 2: even the other day, I was eating a popsicle and 347 00:18:12,160 --> 00:18:13,879 Speaker 2: I bit into it and there was a piece of 348 00:18:14,400 --> 00:18:17,200 Speaker 2: popsicle stick in a part where there shouldn't have been 349 00:18:17,200 --> 00:18:19,280 Speaker 2: the stick, And I was like, for a second, I 350 00:18:19,359 --> 00:18:20,760 Speaker 2: pull it out of my mouth, and I'm like, what 351 00:18:20,800 --> 00:18:22,679 Speaker 2: the hell is that? Because I chewed into it and 352 00:18:22,720 --> 00:18:25,800 Speaker 2: it like hurt my tooth. Right, this happens from time 353 00:18:25,840 --> 00:18:27,920 Speaker 2: to time. It's like, this is what happens with food. 354 00:18:28,280 --> 00:18:31,800 Speaker 2: But like, this woman chewed into something that felt chewy, 355 00:18:31,920 --> 00:18:33,800 Speaker 2: and it was enough that she was able to pull 356 00:18:33,840 --> 00:18:37,080 Speaker 2: it out and identify it as being human. Because wouldn't 357 00:18:37,080 --> 00:18:39,080 Speaker 2: you just be like, oh, it's a piece of chicken, Like, 358 00:18:39,160 --> 00:18:41,120 Speaker 2: let me throw it out. It got into my salad, 359 00:18:41,560 --> 00:18:44,800 Speaker 2: right Like, she pulled it out and knew that it 360 00:18:45,040 --> 00:18:47,719 Speaker 2: was a human fingertip and put two and two together 361 00:18:47,760 --> 00:18:49,960 Speaker 2: with this story, right, Well, I. 362 00:18:49,880 --> 00:18:52,960 Speaker 4: Want to give a short brief breakdown of some other 363 00:18:53,080 --> 00:18:57,080 Speaker 4: people that have found severed parts in their food as well. 364 00:18:57,280 --> 00:19:00,440 Speaker 4: So twenty sixteen, a pregnant woman also found portion of 365 00:19:00,520 --> 00:19:03,080 Speaker 4: a finger in her salad at Applebee's. They're all like 366 00:19:03,160 --> 00:19:03,920 Speaker 4: salads for some. 367 00:19:03,880 --> 00:19:07,240 Speaker 2: Reason, and all that shitty places. 368 00:19:07,000 --> 00:19:10,879 Speaker 4: Yeah, all changed in twenty twelve, a teenager took a 369 00:19:10,880 --> 00:19:13,199 Speaker 4: bite of his Arby's roast beef sandwich and found a 370 00:19:13,200 --> 00:19:14,560 Speaker 4: finger including the knuckle. 371 00:19:14,600 --> 00:19:17,000 Speaker 3: It was like a full sandwich. 372 00:19:17,680 --> 00:19:20,680 Speaker 2: How gir you would you think at first this was 373 00:19:20,720 --> 00:19:24,960 Speaker 2: a Halloween prop or something you do? My first thought 374 00:19:25,040 --> 00:19:27,879 Speaker 2: is is that unfortunately that I don't trust anything that 375 00:19:27,920 --> 00:19:29,800 Speaker 2: I hear, because I think that a lot of times 376 00:19:29,840 --> 00:19:32,720 Speaker 2: people are just trying to get views on TikTok or something. Right, 377 00:19:33,119 --> 00:19:36,919 Speaker 2: But this story is legit, real, like the Westchester County 378 00:19:36,920 --> 00:19:40,359 Speaker 2: Health Department actually find the restaurant only nine hundred dollars 379 00:19:40,359 --> 00:19:44,360 Speaker 2: for some reason. But this is legit, this happened. And 380 00:19:44,400 --> 00:19:49,200 Speaker 2: this woman is saying she's suing obviously, which I feel 381 00:19:49,200 --> 00:19:52,080 Speaker 2: like this is kind of valid. Not it's not because. 382 00:19:52,040 --> 00:19:55,240 Speaker 4: You would it's a warranted lawsuit, but read do you 383 00:19:55,280 --> 00:19:57,879 Speaker 4: have the reasons? And yeah, it says she sufferedless. 384 00:19:58,000 --> 00:20:03,840 Speaker 2: It says she suffered shock, panic attacks, migraine, cognitive impairment, nausea, dizziness, 385 00:20:03,880 --> 00:20:06,800 Speaker 2: neck and shoulder pain. That all is mental stuff, And 386 00:20:06,840 --> 00:20:10,720 Speaker 2: I under I understand that, Like in theory, if you 387 00:20:10,960 --> 00:20:14,320 Speaker 2: if this woman had like HIV or hepatitis C and 388 00:20:14,359 --> 00:20:18,080 Speaker 2: she chewed into it, there would be a possibility that 389 00:20:18,160 --> 00:20:23,199 Speaker 2: she would be exposed to a transmissible virus. I'm not 390 00:20:23,240 --> 00:20:26,080 Speaker 2: really sure that there would be any like real bacteria 391 00:20:26,119 --> 00:20:28,400 Speaker 2: there besides just like normal stuff that's on your skin. 392 00:20:28,480 --> 00:20:33,560 Speaker 2: I mean that's always, that's always I guess an option. 393 00:20:33,760 --> 00:20:37,800 Speaker 2: But I think that it's she's just I mean, really 394 00:20:37,920 --> 00:20:41,000 Speaker 2: just think about that. It's it's just really gross. It's 395 00:20:41,200 --> 00:20:43,600 Speaker 2: it just is and it and it's probably giving her 396 00:20:43,680 --> 00:20:47,480 Speaker 2: like major like PTSD stuff. Honestly, Yeah, I just want 397 00:20:47,480 --> 00:20:51,919 Speaker 2: to list the three last notable discoveries I have twenty 398 00:20:52,000 --> 00:20:54,439 Speaker 2: and ten of woman also found a severed finger in 399 00:20:54,480 --> 00:20:55,840 Speaker 2: her salad at I hop. 400 00:20:55,880 --> 00:20:57,760 Speaker 4: I don't know who's getting a salad at I hoop. 401 00:21:00,000 --> 00:21:00,760 Speaker 3: And then five a. 402 00:21:00,760 --> 00:21:03,560 Speaker 4: Man found a severed finger and a pint of ice cream. 403 00:21:03,880 --> 00:21:06,760 Speaker 4: And then, most notably for all our pop culture fans, 404 00:21:06,760 --> 00:21:09,680 Speaker 4: in a nineteen ninety four episode of Friends, Phoebe Buffet 405 00:21:09,800 --> 00:21:12,359 Speaker 4: found a severed finger in a can of soda and 406 00:21:12,480 --> 00:21:17,040 Speaker 4: was awarded seven thousand dollars. So that is one of 407 00:21:17,080 --> 00:21:18,040 Speaker 4: my favorite episodes. 408 00:21:18,080 --> 00:21:20,960 Speaker 2: It's so ridiculous, and it's even funnier that it comes 409 00:21:21,000 --> 00:21:24,480 Speaker 2: back full circle with all of these classes. I kind 410 00:21:24,520 --> 00:21:29,000 Speaker 2: of I just think that it's just I mean, this 411 00:21:29,119 --> 00:21:31,280 Speaker 2: lady's gonna have to go to therapy and ship for this. 412 00:21:31,280 --> 00:21:34,720 Speaker 2: This is like, this is on another level. And I 413 00:21:34,760 --> 00:21:37,600 Speaker 2: can't even imagine wanting to eat and stuff. It's the 414 00:21:37,680 --> 00:21:40,000 Speaker 2: whole way that it went down is just. 415 00:21:40,400 --> 00:21:44,360 Speaker 4: The I can't imagine eating food. Anybody made me ever 416 00:21:44,400 --> 00:21:45,480 Speaker 4: again after this? 417 00:21:45,560 --> 00:21:48,000 Speaker 2: All right, So this next story I want to give 418 00:21:48,040 --> 00:21:50,479 Speaker 2: you like a little bit of a This is crazy 419 00:21:50,480 --> 00:21:52,960 Speaker 2: because this I just heard something like this, which it's 420 00:21:53,000 --> 00:21:55,159 Speaker 2: such an obscure story. And believe it or not, you 421 00:21:55,280 --> 00:21:57,679 Speaker 2: just heard something. Yes, I was just talking. I just 422 00:21:57,760 --> 00:21:59,840 Speaker 2: told Gabe about this like a couple of weeks ago. 423 00:22:00,240 --> 00:22:03,159 Speaker 2: So I live in a historic little town and we 424 00:22:04,160 --> 00:22:08,080 Speaker 2: have a historic meeting like every year, and every time 425 00:22:08,160 --> 00:22:11,240 Speaker 2: we go, it's like the people there like talk about, oh, 426 00:22:11,320 --> 00:22:13,920 Speaker 2: my house is this, and we redid this in our house, 427 00:22:13,920 --> 00:22:15,720 Speaker 2: and this is what we found in our house. Right, 428 00:22:16,359 --> 00:22:19,200 Speaker 2: So I went a couple weeks ago and at the meeting, 429 00:22:19,280 --> 00:22:21,480 Speaker 2: one of the women there was saying that when she 430 00:22:21,680 --> 00:22:26,480 Speaker 2: bought her house, the back room of the kitchen was 431 00:22:26,560 --> 00:22:29,320 Speaker 2: like a squishy floor, she called it. And she said 432 00:22:29,520 --> 00:22:32,439 Speaker 2: she's an older woman now her kids are grown, but 433 00:22:32,520 --> 00:22:34,600 Speaker 2: she said her kids thought it was awesome, so they 434 00:22:34,600 --> 00:22:38,399 Speaker 2: would like jump across this floor because it was squishy, right. 435 00:22:39,280 --> 00:22:43,040 Speaker 2: So when they finally she finally was like, you know what, 436 00:22:43,160 --> 00:22:45,240 Speaker 2: let me not let the kids on there, because I 437 00:22:45,240 --> 00:22:48,640 Speaker 2: don't know why this floor feels so weird. And when 438 00:22:48,680 --> 00:22:51,640 Speaker 2: they finally started flipping the house and doing the repairs 439 00:22:51,680 --> 00:22:54,600 Speaker 2: on the house, they lifted it up and they discovered 440 00:22:54,640 --> 00:22:57,959 Speaker 2: that there was a well shaft underneath of it that 441 00:22:58,040 --> 00:23:03,400 Speaker 2: went down ten ten or fifteen feet or something crazy, 442 00:23:04,000 --> 00:23:06,919 Speaker 2: and she she was like, oh my god, if that 443 00:23:07,040 --> 00:23:11,199 Speaker 2: floor broke, it would have it would have killed one 444 00:23:11,240 --> 00:23:13,240 Speaker 2: of my kids if they fell into that hole. Actually, 445 00:23:13,240 --> 00:23:14,560 Speaker 2: I think it was deeper than that. I think it 446 00:23:14,560 --> 00:23:16,639 Speaker 2: was like twenty feet or something. I don't really know. 447 00:23:16,720 --> 00:23:19,080 Speaker 2: I just think that it was outrageous. And then she 448 00:23:19,160 --> 00:23:21,840 Speaker 2: had to call the city and the state and they 449 00:23:21,960 --> 00:23:24,439 Speaker 2: like were like, you can't stay here right now, and 450 00:23:24,440 --> 00:23:28,240 Speaker 2: they came and they filled it in. But so now 451 00:23:28,280 --> 00:23:32,280 Speaker 2: this story that we're talking about right now is the 452 00:23:32,320 --> 00:23:35,040 Speaker 2: same exact thing. This This woman lived in a house 453 00:23:35,440 --> 00:23:38,800 Speaker 2: from the nineteen twenties and her mom was there to 454 00:23:38,920 --> 00:23:41,240 Speaker 2: help her pack up to move out of it. It 455 00:23:41,240 --> 00:23:43,960 Speaker 2: doesn't really say why she was moving, but the mom 456 00:23:44,240 --> 00:23:47,440 Speaker 2: fell through like a rotted part of the floor into 457 00:23:47,840 --> 00:23:51,160 Speaker 2: a well shaft that was fifty feet deep underneath, and 458 00:23:51,359 --> 00:23:51,840 Speaker 2: she died. 459 00:23:53,160 --> 00:23:55,439 Speaker 4: Yeah, so when she she fell through the floor in 460 00:23:55,480 --> 00:23:57,960 Speaker 4: the kitchen, and the daughter at first went into the 461 00:23:57,960 --> 00:24:00,280 Speaker 4: cross base underneath the house to look for her, could 462 00:24:00,280 --> 00:24:03,760 Speaker 4: not find her anywhere, so they had fireman come, and 463 00:24:04,000 --> 00:24:06,400 Speaker 4: they couldn't find her for a while, and finally they 464 00:24:06,400 --> 00:24:09,400 Speaker 4: discovered she had fallen into this like secret well underneath 465 00:24:09,400 --> 00:24:11,680 Speaker 4: the house, and it took them four hours to get 466 00:24:11,680 --> 00:24:15,639 Speaker 4: her body out. So she died in a freaking deep No, 467 00:24:15,760 --> 00:24:18,879 Speaker 4: I know that. I just can't even imagine this scene. 468 00:24:18,920 --> 00:24:21,600 Speaker 4: And it is so nuts to me that you have 469 00:24:21,720 --> 00:24:22,639 Speaker 4: a similar story. 470 00:24:22,720 --> 00:24:24,600 Speaker 2: So, yeah, that that happened in my town. And she 471 00:24:24,840 --> 00:24:28,280 Speaker 2: when when this woman called the I think she called 472 00:24:29,320 --> 00:24:32,199 Speaker 2: like the county or whatever, they didn't believe her, and 473 00:24:32,240 --> 00:24:35,200 Speaker 2: she was like, no, she she said she kept sticking 474 00:24:35,240 --> 00:24:38,199 Speaker 2: like I think she said, she had a large like 475 00:24:38,240 --> 00:24:40,160 Speaker 2: a broom and she stuck it and it just kept 476 00:24:40,160 --> 00:24:42,760 Speaker 2: going and going and she wasn't hitting the bottom. There 477 00:24:42,840 --> 00:24:45,639 Speaker 2: was water in it still. It was crazy. And and 478 00:24:45,680 --> 00:24:48,200 Speaker 2: then that made me think, like, are there other houses 479 00:24:48,240 --> 00:24:50,440 Speaker 2: in this town? That have that. Does my house or 480 00:24:50,640 --> 00:24:52,760 Speaker 2: my house have that? Like you don't you know what 481 00:24:52,840 --> 00:24:56,520 Speaker 2: I mean. It's it's just nuts. Everybody needs to check 482 00:24:56,560 --> 00:24:59,480 Speaker 2: their wells and see what's going on. It's just it's 483 00:24:59,560 --> 00:25:01,960 Speaker 2: just so I just thought. I just sent the story 484 00:25:01,960 --> 00:25:03,960 Speaker 2: to Gabe and I was like, dude, I just told 485 00:25:03,960 --> 00:25:05,679 Speaker 2: you about this the other day, Like how you know, 486 00:25:05,720 --> 00:25:07,800 Speaker 2: I always liked to share stories with him because he's 487 00:25:07,800 --> 00:25:10,320 Speaker 2: a fireman, And I'm like, this is something you totally 488 00:25:10,359 --> 00:25:12,960 Speaker 2: could get called on. It's just so random. 489 00:25:13,240 --> 00:25:14,200 Speaker 3: Oh yeah, absolutely. 490 00:25:14,240 --> 00:25:15,960 Speaker 4: I mean I think it's safe to say if you 491 00:25:16,000 --> 00:25:19,200 Speaker 4: have quote unquote squishy floors, you should probably be avoiding 492 00:25:19,240 --> 00:25:19,640 Speaker 4: the air. 493 00:25:19,720 --> 00:25:23,320 Speaker 2: This was probably back in like the late sixties or seventies, 494 00:25:23,480 --> 00:25:25,959 Speaker 2: you know, so it's just like life was just different 495 00:25:26,000 --> 00:25:26,400 Speaker 2: back then. 496 00:25:26,480 --> 00:25:28,000 Speaker 3: But yeah, no, totally. 497 00:25:28,760 --> 00:25:32,399 Speaker 4: So I want to talk about our new horse, Gunner. 498 00:25:32,600 --> 00:25:34,760 Speaker 4: This new story going on, not our new horse. I 499 00:25:34,760 --> 00:25:37,399 Speaker 4: don't know why I said it, but anyway, this this 500 00:25:37,520 --> 00:25:40,080 Speaker 4: canopy of a horse drawn carriage in New York collapse. 501 00:25:40,160 --> 00:25:41,640 Speaker 3: The driver was. 502 00:25:41,600 --> 00:25:44,640 Speaker 4: Trying to fix it and the horse got extremely agitated. 503 00:25:44,640 --> 00:25:48,280 Speaker 4: The horse named Gunner, fifteen years old, and he started 504 00:25:48,520 --> 00:25:52,800 Speaker 4: dragging the driver down New York City street, crashing into 505 00:25:52,800 --> 00:25:56,200 Speaker 4: four cars before if slipping on the ground, I guess, 506 00:25:56,200 --> 00:25:59,240 Speaker 4: and then undercover cops were able to help get him 507 00:25:59,280 --> 00:26:01,720 Speaker 4: under control, get him back to a stable he needed 508 00:26:01,720 --> 00:26:02,000 Speaker 4: to be in. 509 00:26:02,240 --> 00:26:05,639 Speaker 2: Luckily, he he talking about the horse, only needed a 510 00:26:05,680 --> 00:26:08,920 Speaker 2: couple sutures on his leg. And the guy that was 511 00:26:09,040 --> 00:26:11,560 Speaker 2: that was the I don't know what you call that guy, 512 00:26:12,000 --> 00:26:15,400 Speaker 2: the guy that drove the carriage, the driver. Are they 513 00:26:15,400 --> 00:26:18,520 Speaker 2: really called drivers though they're not really d whatever. Anyway, 514 00:26:18,720 --> 00:26:22,720 Speaker 2: he was he had some broken ribs, which sucks, right, 515 00:26:23,160 --> 00:26:28,760 Speaker 2: but luckily no one was killed, like the horse, the driver, 516 00:26:29,480 --> 00:26:33,439 Speaker 2: or innocent pedestrians on the street. And I think, like, 517 00:26:33,640 --> 00:26:36,359 Speaker 2: obviously I always say, like I'm not like a huge 518 00:26:36,560 --> 00:26:40,320 Speaker 2: animal rights person or anything, but their argument can be 519 00:26:40,480 --> 00:26:45,560 Speaker 2: understood that horses are are animals that are typically preyed on, 520 00:26:46,160 --> 00:26:48,520 Speaker 2: so they have this like natural instinct that if they 521 00:26:48,520 --> 00:26:51,840 Speaker 2: get scared, they like bolt, you know. And and like 522 00:26:51,880 --> 00:26:54,840 Speaker 2: when you're in the middle of like midtown traffic with 523 00:26:55,000 --> 00:26:56,840 Speaker 2: all of those people in New York and all those 524 00:26:56,880 --> 00:27:00,280 Speaker 2: cars and everything else that's going on, there's bound'd be 525 00:27:00,320 --> 00:27:04,320 Speaker 2: something like really bad that can happen from that. And 526 00:27:04,400 --> 00:27:06,800 Speaker 2: I get that the carriage and the horse gives like 527 00:27:06,840 --> 00:27:08,960 Speaker 2: an old time feel. I'm even like, I just went 528 00:27:09,000 --> 00:27:13,320 Speaker 2: on one in Charleston a couple months ago, but the 529 00:27:13,359 --> 00:27:15,480 Speaker 2: whole time me gape, like we felt kind of bad, 530 00:27:15,600 --> 00:27:17,680 Speaker 2: and we were like, I don't like, I don't really 531 00:27:17,720 --> 00:27:20,199 Speaker 2: like this. This isn't cool for the horse. That it 532 00:27:20,359 --> 00:27:23,239 Speaker 2: just was like it just was weird and and and 533 00:27:23,320 --> 00:27:25,720 Speaker 2: we kept saying, like, what if this horse just bolts 534 00:27:25,800 --> 00:27:28,480 Speaker 2: right now when we're like on this thing, like it's 535 00:27:28,560 --> 00:27:30,800 Speaker 2: it's a little it's a little scary. So yeah, I 536 00:27:30,880 --> 00:27:34,600 Speaker 2: kind of agree that. I just wish there was another 537 00:27:34,680 --> 00:27:36,320 Speaker 2: way they can do something like that. 538 00:27:36,440 --> 00:27:40,160 Speaker 4: I guess, Yeah, I mean, people really aren't into it. 539 00:27:40,200 --> 00:27:42,879 Speaker 4: I don't even understand the logistics of how it works. 540 00:27:42,880 --> 00:27:45,240 Speaker 4: And there's not so many injuries in New York City. 541 00:27:45,320 --> 00:27:46,280 Speaker 4: Have you ever driven there? 542 00:27:46,320 --> 00:27:46,960 Speaker 3: It's horrible. 543 00:27:47,040 --> 00:27:50,520 Speaker 4: Yeah, it really, especially in Philly too, I can't believe, 544 00:27:50,720 --> 00:27:53,240 Speaker 4: especially the area in which they operate in Philly and 545 00:27:53,280 --> 00:27:57,200 Speaker 4: the Old City area is absolutely the most hectic traffic area. 546 00:27:57,320 --> 00:28:00,639 Speaker 2: And yeah, but remember when we so and Maria and 547 00:28:00,640 --> 00:28:04,240 Speaker 2: I were well, when I was in college at Jefferson 548 00:28:05,440 --> 00:28:08,119 Speaker 2: and Maria was in second grade, we lived in the 549 00:28:08,160 --> 00:28:10,320 Speaker 2: city for a year when I went to school, and 550 00:28:10,760 --> 00:28:13,280 Speaker 2: we lived in a portion of the city called Society Hill, 551 00:28:13,359 --> 00:28:15,880 Speaker 2: so like it's my favorite part of the city. It's 552 00:28:15,960 --> 00:28:18,760 Speaker 2: right up the street from the Liberty Bell and Independence Hall, 553 00:28:18,880 --> 00:28:22,119 Speaker 2: so it's just like superhistoric. And the horses used to 554 00:28:22,840 --> 00:28:25,640 Speaker 2: ride by our apartment, so like in the summer when 555 00:28:25,680 --> 00:28:28,479 Speaker 2: we opened the windows, it smelled like horseshit all the time. 556 00:28:29,080 --> 00:28:32,719 Speaker 2: And remember we would hear them like naying, like like 557 00:28:32,840 --> 00:28:34,880 Speaker 2: in the middle of the night. That was like so crazy. 558 00:28:34,960 --> 00:28:37,399 Speaker 2: So you get, Yeah, you could hear them clobber and 559 00:28:37,440 --> 00:28:39,960 Speaker 2: down the street, but it didn't smell very nice. Yeah, 560 00:28:39,960 --> 00:28:41,719 Speaker 2: they just want to give the vibe of like the 561 00:28:41,800 --> 00:28:45,440 Speaker 2: old seventeen seventy six vibe. But yeah, it's just like 562 00:28:45,600 --> 00:28:48,160 Speaker 2: kind of we're past that now, I think. 563 00:28:49,360 --> 00:28:52,560 Speaker 4: Yeah, I mean, give the horses a better life because 564 00:28:52,560 --> 00:28:55,880 Speaker 4: they're always like jammed in these horrible, disgusting warehouses in 565 00:28:55,920 --> 00:28:58,160 Speaker 4: the city and it's not fair let them frolic in 566 00:28:58,200 --> 00:28:58,680 Speaker 4: the fields. 567 00:29:00,080 --> 00:29:01,200 Speaker 2: E've gunner alone. 568 00:29:01,440 --> 00:29:06,160 Speaker 4: Okay, So onto this pilot story in twenty eighteen, an 569 00:29:06,240 --> 00:29:09,880 Speaker 4: experienced skydiver and I'm gonna mess this word up. Aeronautical 570 00:29:09,960 --> 00:29:14,280 Speaker 4: engineer wait for a skydive in the French countryside. Seconds 571 00:29:14,360 --> 00:29:16,800 Speaker 4: after he jumped from the plane, he was decapitated by 572 00:29:16,840 --> 00:29:21,160 Speaker 4: the plane's wing. So now the pilot is being is 573 00:29:21,200 --> 00:29:25,320 Speaker 4: being convicted of manslaughter, which we have discovered in our 574 00:29:25,360 --> 00:29:27,760 Speaker 4: other manslaughter discussions due to directly. 575 00:29:27,720 --> 00:29:30,200 Speaker 2: Yeah, this and this happened back in twenty eighteen. But 576 00:29:30,280 --> 00:29:33,880 Speaker 2: I guess he just got convicted of manslaughter. Yeah, but 577 00:29:33,960 --> 00:29:36,320 Speaker 2: they were saying it was because he didn't have the 578 00:29:36,360 --> 00:29:40,280 Speaker 2: proper license to even be driving the plane. So which 579 00:29:40,360 --> 00:29:42,880 Speaker 2: I think is weird because if the if the skydiver 580 00:29:43,120 --> 00:29:46,560 Speaker 2: was experienced, that's not something that you would that you 581 00:29:46,600 --> 00:29:49,360 Speaker 2: would try to Maybe it was a friend, Yeah, maybe 582 00:29:49,400 --> 00:29:52,480 Speaker 2: I don't know, but I think I more wanted to 583 00:29:52,560 --> 00:29:55,480 Speaker 2: just talk about the story, just thinking about like driving 584 00:29:55,560 --> 00:29:59,480 Speaker 2: out of a plane and having an even Obviously the 585 00:29:59,520 --> 00:30:03,480 Speaker 2: guy was was neglectful because he didn't have a pilot's license, 586 00:30:03,520 --> 00:30:05,600 Speaker 2: but he knew how to fly a little bit because 587 00:30:05,600 --> 00:30:07,160 Speaker 2: he had a plane up in the air. And imagine 588 00:30:07,200 --> 00:30:09,720 Speaker 2: like looking out in the person that just jumped out 589 00:30:09,720 --> 00:30:13,320 Speaker 2: of your plane. Head is and body are floating in 590 00:30:13,400 --> 00:30:16,840 Speaker 2: different directions. It's just like pretty traumatizing, right. 591 00:30:17,000 --> 00:30:19,360 Speaker 4: Well, it was without a valid license so that's not 592 00:30:19,400 --> 00:30:21,120 Speaker 4: to say he didn't have a pilot license, because I 593 00:30:21,200 --> 00:30:23,800 Speaker 4: read later on that he's been banned from flying for 594 00:30:23,880 --> 00:30:24,280 Speaker 4: a year. 595 00:30:24,680 --> 00:30:29,480 Speaker 2: That's it. Yeah, that's great. That makes me feel safe. 596 00:30:29,480 --> 00:30:32,920 Speaker 2: Hopefully he's like driving my next flight. I mean, come on, 597 00:30:32,960 --> 00:30:33,960 Speaker 2: this is ridiculous. 598 00:30:34,720 --> 00:30:34,920 Speaker 3: Yeah. 599 00:30:34,920 --> 00:30:37,280 Speaker 2: I guess they're in desperate need for pilots now, so 600 00:30:37,320 --> 00:30:41,240 Speaker 2: they'll they'll just like, well, maybe he's a private maybe, 601 00:30:41,320 --> 00:30:44,040 Speaker 2: you know, I don't really understand how getting private pilot 602 00:30:44,040 --> 00:30:47,040 Speaker 2: license works. But maybe he's not allowed to fly commercial flights, 603 00:30:47,080 --> 00:30:48,600 Speaker 2: just independent ones. 604 00:30:49,040 --> 00:30:49,760 Speaker 3: I'm not sure. 605 00:30:49,840 --> 00:30:52,080 Speaker 2: Well, we'll probably never be on a private plane. So 606 00:30:52,120 --> 00:30:56,960 Speaker 2: it's not not anything that was fine by me exactly. Statistically, 607 00:30:57,040 --> 00:31:01,360 Speaker 2: they have more promise exactly. I don't need to think 608 00:31:01,400 --> 00:31:04,400 Speaker 2: about that. But all right, let's get into this news 609 00:31:04,440 --> 00:31:09,320 Speaker 2: story about this emergency room pediatrician is putting out kind 610 00:31:09,320 --> 00:31:12,360 Speaker 2: of a psa that there's an uprise in children eating 611 00:31:12,360 --> 00:31:15,960 Speaker 2: weed edibles. All right, so listen to these crazy statistics. 612 00:31:16,240 --> 00:31:18,720 Speaker 2: There was a study published in the Journal of Pediatrics 613 00:31:18,760 --> 00:31:21,920 Speaker 2: that found the calls to poison control centers for kids 614 00:31:22,000 --> 00:31:26,280 Speaker 2: under six years old from eating cannabis infused goodies went 615 00:31:26,360 --> 00:31:30,600 Speaker 2: from two hundred and seven calls in twenty seventeen. Okay, 616 00:31:30,640 --> 00:31:36,640 Speaker 2: two hundred and seven two three thousand and fifty four 617 00:31:36,760 --> 00:31:41,280 Speaker 2: calls in twenty and twenty and ninety seven percent of 618 00:31:41,320 --> 00:31:45,000 Speaker 2: these cases were when kids discovered the edibles at their house. 619 00:31:46,800 --> 00:31:50,000 Speaker 4: Yeah, So this particular case that we're talking about with 620 00:31:50,120 --> 00:31:53,280 Speaker 4: this story is that this child and his family were 621 00:31:53,320 --> 00:31:57,000 Speaker 4: staying in an airbnb and the parents had gone out 622 00:31:57,040 --> 00:31:59,680 Speaker 4: for the day and left the kid under the supervision 623 00:31:59,720 --> 00:32:02,400 Speaker 4: of the seventeen year old brother. So when the parents 624 00:32:02,440 --> 00:32:04,800 Speaker 4: get back, the kid was sleeping, but they couldn't wake 625 00:32:04,880 --> 00:32:08,000 Speaker 4: him up, and they did all these tests. They thought 626 00:32:08,000 --> 00:32:09,960 Speaker 4: maybe he had a stroke, maybe he was having an 627 00:32:09,960 --> 00:32:13,960 Speaker 4: issue with diabetes, and the test came back positive for THHC, 628 00:32:14,680 --> 00:32:18,160 Speaker 4: And the brother said that the little brother had discovered 629 00:32:18,440 --> 00:32:22,000 Speaker 4: this chocolate under the bed at the airbnb and had 630 00:32:22,040 --> 00:32:25,760 Speaker 4: consumed it, and it ended up being edible chocolate that 631 00:32:25,880 --> 00:32:28,320 Speaker 4: was left there, I guess by a prior guest, unless 632 00:32:28,320 --> 00:32:29,360 Speaker 4: the teen was trying to. 633 00:32:29,320 --> 00:32:31,720 Speaker 2: I'm like Maria, I'm always want to like blast Maria 634 00:32:31,720 --> 00:32:33,959 Speaker 2: because she's just so nice and innocent, and I'm like, 635 00:32:34,040 --> 00:32:36,440 Speaker 2: I was like the baddest kid ever. Like, no, Maria, 636 00:32:36,520 --> 00:32:40,160 Speaker 2: that kid that was the teenager's weed chocolate, okay, like, 637 00:32:41,000 --> 00:32:44,000 Speaker 2: and the kid probably got into it in his backpack 638 00:32:44,080 --> 00:32:46,040 Speaker 2: or something. And this was like his lie that he 639 00:32:46,120 --> 00:32:47,640 Speaker 2: was making up to his mom and dad because he 640 00:32:47,640 --> 00:32:48,680 Speaker 2: didn't want to get in trouble. 641 00:32:49,600 --> 00:32:51,840 Speaker 3: Yeah, of course, I mean, but. 642 00:32:51,760 --> 00:32:55,240 Speaker 2: Less than like there has to his defense. There was 643 00:32:55,920 --> 00:32:59,760 Speaker 2: a small toddler baby that died recently at an airbnb 644 00:33:00,040 --> 00:33:03,600 Speaker 2: in Florida because there was what was it fatanoyl or 645 00:33:03,640 --> 00:33:06,120 Speaker 2: something from a party that was there before that the 646 00:33:06,160 --> 00:33:10,320 Speaker 2: baby just like touched and died. So listen, I it's 647 00:33:10,320 --> 00:33:13,800 Speaker 2: something as as a parent, like I stayed air Bnb's 648 00:33:13,800 --> 00:33:15,640 Speaker 2: all the time, I don't go through and check to 649 00:33:15,680 --> 00:33:17,960 Speaker 2: make sure there's like drugs in the drawers or not. 650 00:33:18,080 --> 00:33:20,800 Speaker 2: And I guess I should start doing something like that 651 00:33:21,200 --> 00:33:24,480 Speaker 2: because I could imagine if there's like something that looks 652 00:33:24,520 --> 00:33:27,000 Speaker 2: like gummy candy in the dress or drawer like next 653 00:33:27,000 --> 00:33:30,840 Speaker 2: to especially Lucia's bed, she'd be like, oh, cool candy 654 00:33:31,720 --> 00:33:36,360 Speaker 2: and just eat it. It's so scary. But yeah, and 655 00:33:37,480 --> 00:33:39,680 Speaker 2: you know, everybody likes to say that like we can't 656 00:33:39,760 --> 00:33:41,760 Speaker 2: kill you and stuff, and it certainly can, and it 657 00:33:41,800 --> 00:33:44,440 Speaker 2: could cause a lot of problems with adults too. But 658 00:33:44,720 --> 00:33:49,120 Speaker 2: this kid ate this chocolate bar was five hundred milligrams 659 00:33:49,200 --> 00:33:52,560 Speaker 2: of THHC and he ate about three fourths of the 660 00:33:52,880 --> 00:33:55,280 Speaker 2: of the candy bar, so he probably ate close to 661 00:33:55,360 --> 00:33:59,640 Speaker 2: like four hundred milligrams of THHG. When you know, if 662 00:33:59,640 --> 00:34:02,280 Speaker 2: you've ever taking a weed gummy or anything, it's like 663 00:34:03,080 --> 00:34:07,200 Speaker 2: five to ten, right or I feel like that's enough 664 00:34:07,240 --> 00:34:09,680 Speaker 2: to like not make you totally trip your face off 665 00:34:09,680 --> 00:34:14,040 Speaker 2: and like be past. I mean, there is these gummies 666 00:34:14,080 --> 00:34:17,439 Speaker 2: going around Philly, like I don't know ten years ago, 667 00:34:18,080 --> 00:34:21,480 Speaker 2: maybe before that, or no, like seven to ten years 668 00:34:21,520 --> 00:34:24,600 Speaker 2: ago that said they were ten milligrams, but they were 669 00:34:24,640 --> 00:34:26,600 Speaker 2: way more because if you ate half of one, which 670 00:34:26,640 --> 00:34:29,200 Speaker 2: to a normal person would like take the edge off, 671 00:34:29,480 --> 00:34:31,239 Speaker 2: make you a little high but not crazy, if you 672 00:34:31,400 --> 00:34:33,760 Speaker 2: ate half of one, you'd be like knocked on your ass, 673 00:34:33,800 --> 00:34:36,680 Speaker 2: not able to move. So these like that just happened 674 00:34:36,719 --> 00:34:39,960 Speaker 2: to something person that we know recently. We won't name 675 00:34:40,040 --> 00:34:41,280 Speaker 2: any names. 676 00:34:41,880 --> 00:34:44,640 Speaker 4: Yeah, it happened to an old person in our life recently, 677 00:34:44,680 --> 00:34:47,560 Speaker 4: should never be doing that, or who hasn't done who 678 00:34:47,560 --> 00:34:50,840 Speaker 4: hasn't taken weed since like the sixties or seventies, And 679 00:34:50,880 --> 00:34:53,240 Speaker 4: all of a sudden takes like a modern day TC 680 00:34:53,440 --> 00:34:57,920 Speaker 4: gummy and like or like you're on or like you're 681 00:34:57,960 --> 00:35:00,560 Speaker 4: going out to dinner with your husban been when you 682 00:35:00,640 --> 00:35:02,839 Speaker 4: first started dating, and you feel like you're gonna fall 683 00:35:02,880 --> 00:35:04,320 Speaker 4: asleep at a long Horn steakhouse. 684 00:35:05,680 --> 00:35:05,839 Speaker 2: Ex. 685 00:35:06,080 --> 00:35:10,080 Speaker 4: It's happened, but no parents need to be I feel 686 00:35:10,080 --> 00:35:13,360 Speaker 4: like my generation in particular is so lax with the 687 00:35:13,400 --> 00:35:16,640 Speaker 4: gummies and everything. I don't personally see any issue taking them, 688 00:35:16,800 --> 00:35:19,640 Speaker 4: but I think there needs to be more responsibility and 689 00:35:19,800 --> 00:35:23,360 Speaker 4: keeping them away, even though most of them taste absolutely disgusting. 690 00:35:23,440 --> 00:35:25,399 Speaker 4: Kids just see that they're candy and they're gonna eat 691 00:35:25,440 --> 00:35:27,879 Speaker 4: it anyway or not realize it tastes disgusting until it's 692 00:35:27,920 --> 00:35:28,279 Speaker 4: too late. 693 00:35:28,360 --> 00:35:30,040 Speaker 2: I'm not one to want to like push shit on 694 00:35:30,080 --> 00:35:33,960 Speaker 2: a manufacturer, but honestly, like, if you're selling it to 695 00:35:34,000 --> 00:35:36,360 Speaker 2: adults and you write that like it's a gummy or 696 00:35:36,360 --> 00:35:40,120 Speaker 2: it's chocolate, the packaging doesn't like the packaging can't look 697 00:35:40,239 --> 00:35:44,320 Speaker 2: like candy. Like there I talked about a case. I 698 00:35:44,400 --> 00:35:46,600 Speaker 2: might even have photos of it in the grosser room, 699 00:35:46,680 --> 00:35:49,720 Speaker 2: like years ago about a kid that did a similar 700 00:35:49,800 --> 00:35:53,080 Speaker 2: thing and the parent put a picture of the of 701 00:35:53,120 --> 00:35:55,399 Speaker 2: the wrapper and I was like Oh my god, any 702 00:35:55,480 --> 00:35:57,960 Speaker 2: kid would think that was can't like, like it's like 703 00:35:58,200 --> 00:35:59,320 Speaker 2: enticing to children. 704 00:36:00,200 --> 00:36:01,680 Speaker 3: Yeah, I mean, this is a big problem. 705 00:36:01,760 --> 00:36:04,640 Speaker 4: And a couple of years ago, I believe weed's legal 706 00:36:04,760 --> 00:36:08,480 Speaker 4: in Massachusetts and they passed the regulation in Massachusetts a 707 00:36:08,480 --> 00:36:10,600 Speaker 4: few years ago that they could no longer be shaped 708 00:36:10,680 --> 00:36:13,560 Speaker 4: like gummy bears. But then they reshape them into these 709 00:36:13,600 --> 00:36:16,720 Speaker 4: like hexagons, and they still look like gushers or something. 710 00:36:17,000 --> 00:36:20,960 Speaker 4: It doesn't matter, like they need to be very different looking. 711 00:36:21,000 --> 00:36:23,560 Speaker 4: I understand people want to be like, oh, I could 712 00:36:23,600 --> 00:36:26,000 Speaker 4: have a nerds rope and it's weed and it's bringing 713 00:36:26,040 --> 00:36:28,480 Speaker 4: back memories for me and it's my favorite candy. But 714 00:36:29,320 --> 00:36:31,439 Speaker 4: we need to figure out a balance of making them 715 00:36:31,440 --> 00:36:34,960 Speaker 4: not attractive to children and parents holding the proper responsibility 716 00:36:35,239 --> 00:36:38,040 Speaker 4: and hiding them and making sure their children don't even 717 00:36:38,160 --> 00:36:40,560 Speaker 4: know they're in the household or where they are or 718 00:36:40,600 --> 00:36:41,439 Speaker 4: can't reach them. 719 00:36:41,840 --> 00:36:44,239 Speaker 2: Yeah, I mean I think you I don't know, like 720 00:36:44,360 --> 00:36:46,759 Speaker 2: if you put them in the refrigerator or whatever, like 721 00:36:46,800 --> 00:36:49,440 Speaker 2: you only have one refrigerator in your house usually, so 722 00:36:49,760 --> 00:36:52,680 Speaker 2: it's I don't know what the solution is, but if 723 00:36:52,719 --> 00:36:57,320 Speaker 2: a kid takes it, it could cause them to the parent. 724 00:36:57,400 --> 00:36:59,400 Speaker 2: Can't like alert them, can't wake them up like t 725 00:36:59,400 --> 00:37:01,960 Speaker 2: happened in this case, and it could cause such severe 726 00:37:02,000 --> 00:37:06,000 Speaker 2: respiratory depression that it could kill them. I mean, it's 727 00:37:06,040 --> 00:37:08,719 Speaker 2: it's it's this isn't a joke. This isn't like my 728 00:37:08,800 --> 00:37:12,880 Speaker 2: kids high it's it's a serious matter. It's poison. 729 00:37:13,000 --> 00:37:14,680 Speaker 3: Yeah, No, definitely. 730 00:37:14,680 --> 00:37:18,040 Speaker 4: And the fact that that kid eight seventy five, five 731 00:37:18,080 --> 00:37:20,600 Speaker 4: hundred million, I can't even I can't believe they're alive 732 00:37:21,000 --> 00:37:24,640 Speaker 4: because the few times in my life I feel like 733 00:37:24,640 --> 00:37:27,000 Speaker 4: I've had a little much, I feel absolutely horrible. 734 00:37:27,080 --> 00:37:31,239 Speaker 2: Yeah, and what you've had like twenty at most, Yeah, exactly, 735 00:37:31,360 --> 00:37:42,239 Speaker 2: Like it's it's just nuts. This episode today is brought 736 00:37:42,280 --> 00:37:45,680 Speaker 2: to you by Artery Ink. We love Artery Ink. They 737 00:37:45,719 --> 00:37:48,720 Speaker 2: are a woman owned company and they make really awesome 738 00:37:48,800 --> 00:37:53,600 Speaker 2: gear for medical professionals. Today Maria is wearing an anatomical 739 00:37:53,680 --> 00:37:57,600 Speaker 2: heart hoodie, and we love anatomic hearts around here. And 740 00:37:57,640 --> 00:38:00,840 Speaker 2: we love Artery Ink because they do really awesome designs 741 00:38:00,840 --> 00:38:03,680 Speaker 2: and they draw everything themselves, so we just we just 742 00:38:03,719 --> 00:38:07,440 Speaker 2: think that they're so great. This Christmas, I am giving 743 00:38:08,040 --> 00:38:11,719 Speaker 2: everyone that loves anatomy in my life. This This is 744 00:38:11,800 --> 00:38:15,440 Speaker 2: a coloring book. Show me your guts and there's tons 745 00:38:15,440 --> 00:38:18,520 Speaker 2: of pictures. It's an adult coloring book. Tons of pictures 746 00:38:18,560 --> 00:38:21,400 Speaker 2: in here that were drawn by Artery Inc. That have 747 00:38:22,400 --> 00:38:25,879 Speaker 2: it's it's awesome. It's just like every single anatomic part 748 00:38:25,920 --> 00:38:28,120 Speaker 2: that you could see. They have teeth, they have cross 749 00:38:28,120 --> 00:38:31,680 Speaker 2: sections of head, they have a uterus, they have this 750 00:38:31,800 --> 00:38:39,719 Speaker 2: is my personal favorite, big penis and testicles. I think 751 00:38:39,760 --> 00:38:43,040 Speaker 2: that these this coloring book is not only cool for 752 00:38:43,160 --> 00:38:46,399 Speaker 2: people who like Anatomy, but it's cool for people who 753 00:38:46,440 --> 00:38:49,919 Speaker 2: have friends that like Anatomy because I think, like, if 754 00:38:49,920 --> 00:38:54,160 Speaker 2: you color this nice man's ass and really do it 755 00:38:54,239 --> 00:38:55,759 Speaker 2: artsy and put it in a frame and give it 756 00:38:55,760 --> 00:38:57,239 Speaker 2: to someone as a gift, I think it'd be a 757 00:38:57,239 --> 00:39:01,239 Speaker 2: pretty unique gift for somebody that like men's butts or 758 00:39:02,200 --> 00:39:04,840 Speaker 2: just likes anatomy. So I think it's a really I 759 00:39:04,840 --> 00:39:07,759 Speaker 2: think it's a really cool coloring book. Adult coloring book. 760 00:39:07,800 --> 00:39:10,840 Speaker 2: I love these. I do them with my kids. Obviously 761 00:39:10,880 --> 00:39:14,200 Speaker 2: I won't do those parts with my kids, but yeah, 762 00:39:14,200 --> 00:39:15,680 Speaker 2: I think it'd be a lot of fun. And if 763 00:39:15,719 --> 00:39:17,880 Speaker 2: you just you know, go on Amazon or something and 764 00:39:17,920 --> 00:39:20,759 Speaker 2: get some colored pencils, it's a cool gift to give 765 00:39:20,840 --> 00:39:22,000 Speaker 2: to somebody this season. 766 00:39:23,239 --> 00:39:25,399 Speaker 4: Yeah, so if you're watching on YouTube, you could see 767 00:39:25,400 --> 00:39:28,200 Speaker 4: the hoodie I'm wearing now, which is the Anatomical Heart hoodie. 768 00:39:28,200 --> 00:39:30,239 Speaker 4: It comes in gray. There's a cute little emblem on 769 00:39:30,280 --> 00:39:33,040 Speaker 4: the side sleeve and a little design on the back too. 770 00:39:33,440 --> 00:39:35,319 Speaker 4: When I was getting dressed today, there was no doubt 771 00:39:35,360 --> 00:39:37,000 Speaker 4: in my mind I was wearing this hoodie. It is 772 00:39:37,040 --> 00:39:39,040 Speaker 4: so comfortable. We have to turn the heat off in 773 00:39:39,080 --> 00:39:41,640 Speaker 4: our house when we record, so I'm definitely really cozy 774 00:39:41,719 --> 00:39:44,640 Speaker 4: right now and really thankful for it. So you could 775 00:39:44,760 --> 00:39:48,839 Speaker 4: use code Love your Insides twenty three at arteryink dot 776 00:39:48,880 --> 00:39:51,000 Speaker 4: com for fifteen percent off your whole order. 777 00:39:51,080 --> 00:39:56,359 Speaker 2: Thanks artery Ink. Okay onto violent Crimes. 778 00:39:57,400 --> 00:40:00,320 Speaker 4: This sounds like an episode right out of sixty Mens 779 00:40:00,400 --> 00:40:04,000 Speaker 4: or something. So it's a woman obsessed with true crime 780 00:40:04,200 --> 00:40:07,799 Speaker 4: killed somebody to see what it quote felt like. Definitely 781 00:40:07,840 --> 00:40:11,879 Speaker 4: really scary. So this twenty three year old female out 782 00:40:11,960 --> 00:40:13,080 Speaker 4: of South Korea. 783 00:40:13,719 --> 00:40:16,400 Speaker 3: She had posed as a mother. 784 00:40:16,320 --> 00:40:19,520 Speaker 4: On a tutoring app looking for somebody to quote unquote 785 00:40:19,800 --> 00:40:23,200 Speaker 4: tutor her daughter. So she had gone through fifty four 786 00:40:23,400 --> 00:40:26,880 Speaker 4: people before finally landing on this twenty six year old victim. 787 00:40:27,200 --> 00:40:29,960 Speaker 4: She went to the house dressed as a schoolgirl, pretended 788 00:40:30,440 --> 00:40:33,279 Speaker 4: to be this young girl that needed tutoring, and then 789 00:40:33,320 --> 00:40:36,120 Speaker 4: when she entered the house, she stabbed the woman to death, 790 00:40:36,480 --> 00:40:39,440 Speaker 4: dismembered her body, and disposed of her body, but kept 791 00:40:39,440 --> 00:40:42,200 Speaker 4: some of the parts in her home that police later discovered. 792 00:40:42,680 --> 00:40:45,279 Speaker 2: Yeah, and as they investigated, they saw that she had 793 00:40:45,320 --> 00:40:48,480 Speaker 2: a browsing history that showed she searched for how to kill, 794 00:40:48,920 --> 00:40:51,120 Speaker 2: ways to get rid of a body leading up to 795 00:40:51,160 --> 00:40:54,480 Speaker 2: the murder. Like, let's talk about the case that we 796 00:40:54,520 --> 00:40:58,560 Speaker 2: wrote about in the gross room yesterday. What is the 797 00:40:58,760 --> 00:41:01,760 Speaker 2: woman's name is core Corey Riches. 798 00:41:01,760 --> 00:41:04,080 Speaker 4: So we talked about the case of the death of 799 00:41:04,239 --> 00:41:08,640 Speaker 4: Eric Richards allegedly poisoned to death by his wife, Corey Richins. 800 00:41:09,280 --> 00:41:11,920 Speaker 4: She is not formally convicted yet, but there's a lot 801 00:41:11,920 --> 00:41:14,040 Speaker 4: of circumstantial evidence that's not looking. 802 00:41:13,760 --> 00:41:14,319 Speaker 2: Great for her. 803 00:41:15,080 --> 00:41:17,480 Speaker 4: So a lot of a lot of the evidence they're 804 00:41:17,560 --> 00:41:21,879 Speaker 4: using is a significant amount of Google searches she did. 805 00:41:22,040 --> 00:41:23,920 Speaker 4: One of which being really out of touch are their 806 00:41:24,000 --> 00:41:25,720 Speaker 4: luxury prisons in America. 807 00:41:25,760 --> 00:41:29,000 Speaker 2: Which are there luxury prisons in America for the rich? 808 00:41:29,760 --> 00:41:30,239 Speaker 3: For the rich? 809 00:41:30,280 --> 00:41:30,600 Speaker 2: My bad? 810 00:41:30,840 --> 00:41:34,759 Speaker 4: So, like, theoretically, yes, there there is a prison in 811 00:41:34,800 --> 00:41:37,839 Speaker 4: Texas where like Elizabeth Holmes and Jenshaw are right now 812 00:41:37,840 --> 00:41:41,160 Speaker 4: who have committed federal white collar crimes. But I don't 813 00:41:41,160 --> 00:41:43,680 Speaker 4: think if you murder your husband for financial gain that 814 00:41:43,680 --> 00:41:46,200 Speaker 4: you're going to be put in a nice, luxury little 815 00:41:46,239 --> 00:41:47,280 Speaker 4: prison down south. 816 00:41:47,360 --> 00:41:50,279 Speaker 2: My point of bringing this up is to say, when 817 00:41:50,400 --> 00:41:52,640 Speaker 2: are people that are going to commit crimes get a 818 00:41:52,680 --> 00:41:56,080 Speaker 2: clue that, Like you can see every single thing you 819 00:41:56,120 --> 00:41:59,160 Speaker 2: look up, even if you delete your history on your computer, 820 00:41:59,440 --> 00:42:00,359 Speaker 2: like it's. 821 00:42:00,160 --> 00:42:02,840 Speaker 4: Well, she looked up how to wipe your phone remotely. 822 00:42:03,040 --> 00:42:05,000 Speaker 4: So I don't understand what the problem was. 823 00:42:05,080 --> 00:42:08,239 Speaker 2: I just don't understand what people are thinking. Like it 824 00:42:08,360 --> 00:42:11,280 Speaker 2: seems like every single case, it's like these Google searches 825 00:42:11,320 --> 00:42:14,080 Speaker 2: come up of how to do this, how to do that, 826 00:42:14,200 --> 00:42:16,160 Speaker 2: Like duh, they're going to look at your phone if 827 00:42:16,200 --> 00:42:18,600 Speaker 2: somebody gets murdered that's close to you or that you're 828 00:42:19,200 --> 00:42:22,560 Speaker 2: you're any way connected to it. It's just I'm like 829 00:42:22,680 --> 00:42:25,279 Speaker 2: kind of like, what is wrong with people? All right? 830 00:42:25,680 --> 00:42:28,560 Speaker 2: Moving on to the Giglo Beach. This this, this case 831 00:42:28,640 --> 00:42:30,960 Speaker 2: is getting crazier by the day. You want to talk 832 00:42:31,000 --> 00:42:33,719 Speaker 2: about that case a little bit? Yeah, So I just 833 00:42:33,760 --> 00:42:36,640 Speaker 2: wanted to give a really brief overview because this is 834 00:42:36,760 --> 00:42:40,440 Speaker 2: so involved. We could honestly probably do an entire episode 835 00:42:40,480 --> 00:42:43,160 Speaker 2: just about where we are at this point of the case. 836 00:42:43,400 --> 00:42:46,520 Speaker 2: But this guy, Rex Huerman, he was an architect that 837 00:42:46,600 --> 00:42:52,719 Speaker 2: worked in Manhattan. He lived in Manna. Had seen MANI 838 00:42:53,360 --> 00:42:53,640 Speaker 2: I don't. 839 00:42:53,760 --> 00:42:56,320 Speaker 4: He lived twenty minutes from this place called Go Go 840 00:42:56,440 --> 00:42:59,800 Speaker 4: Beach in Long Island. All these bodies were found there 841 00:43:00,200 --> 00:43:03,439 Speaker 4: years ago. This has been under investigation. Police finally caught 842 00:43:03,480 --> 00:43:07,440 Speaker 4: him by DNA and cell phone pings there. I'm obviously 843 00:43:07,520 --> 00:43:11,320 Speaker 4: leaving out so many details of this, but it's so well. 844 00:43:11,320 --> 00:43:14,600 Speaker 2: Starting in twenty ten, police were looking for a missing 845 00:43:15,000 --> 00:43:18,680 Speaker 2: woman near Long Island Giglo Beach and they discovered ten 846 00:43:18,760 --> 00:43:21,440 Speaker 2: sets of human remains and that's when they started being like, 847 00:43:21,520 --> 00:43:23,759 Speaker 2: wait a second, there might be a serial killer here. 848 00:43:23,800 --> 00:43:26,920 Speaker 2: So that's that's how he was kind of first on 849 00:43:26,960 --> 00:43:30,160 Speaker 2: the radar, and yeah, well, we're gonna cover this like 850 00:43:30,239 --> 00:43:33,080 Speaker 2: way more once the trial starts and once more information 851 00:43:33,200 --> 00:43:36,680 Speaker 2: comes out. But the point is is that this guy 852 00:43:37,200 --> 00:43:41,440 Speaker 2: was killing and it's DNA evidence proved he was killing 853 00:43:41,520 --> 00:43:45,640 Speaker 2: a lot of women and they were all sex workers, correct, Yeah, 854 00:43:45,680 --> 00:43:49,920 Speaker 2: And so one of the pieces of evidence that they 855 00:43:50,000 --> 00:43:53,279 Speaker 2: found on top of all this tons of evidence is 856 00:43:53,280 --> 00:43:55,520 Speaker 2: that they found a hair from his wife on one 857 00:43:55,560 --> 00:43:59,240 Speaker 2: of the victims. Now, that could totally happen, just because 858 00:43:59,280 --> 00:44:01,440 Speaker 2: I'm sure my husban has like five pieces of my 859 00:44:01,520 --> 00:44:03,839 Speaker 2: hair and my daughter's hair on his shirt right now, 860 00:44:03,920 --> 00:44:06,399 Speaker 2: just because we shed all the time. So it's it's likely. 861 00:44:06,920 --> 00:44:09,479 Speaker 2: But there's also a lot of people that have come 862 00:44:09,520 --> 00:44:13,400 Speaker 2: out that have been survivors of this guy who have 863 00:44:13,480 --> 00:44:16,280 Speaker 2: said that his wife was involved. His wife was going 864 00:44:16,320 --> 00:44:18,640 Speaker 2: to like swinging and stuff with him and kind of 865 00:44:18,719 --> 00:44:21,240 Speaker 2: knew that he was doing this. Where she's been acting 866 00:44:21,280 --> 00:44:24,040 Speaker 2: like she had no idea. She's just like I had 867 00:44:24,040 --> 00:44:26,319 Speaker 2: no idea this is happening in my house, like right 868 00:44:26,560 --> 00:44:32,080 Speaker 2: behind my you know whatever. So now the craziest part 869 00:44:32,120 --> 00:44:34,480 Speaker 2: of this story, which is why we're talking about it today, 870 00:44:35,120 --> 00:44:37,880 Speaker 2: is she hasn't visited the guy in jail the entire time. 871 00:44:38,360 --> 00:44:40,960 Speaker 2: He had a court date yesterday, and she shows up 872 00:44:41,080 --> 00:44:44,400 Speaker 2: like gets out of a Mercedes Benz and has a 873 00:44:44,480 --> 00:44:48,400 Speaker 2: camera crew following her from Peacock because apparently she signed 874 00:44:48,440 --> 00:44:51,160 Speaker 2: like a one million dollar deal for a documentary about 875 00:44:51,160 --> 00:44:51,720 Speaker 2: this story. 876 00:44:52,960 --> 00:44:57,880 Speaker 4: So prisoners can't profit off of their convicted criminals, I 877 00:44:57,920 --> 00:45:00,520 Speaker 4: guess to say, or criminals in general can't off of 878 00:45:00,560 --> 00:45:04,000 Speaker 4: their crimes. So let's say she is involved. This is 879 00:45:04,040 --> 00:45:07,440 Speaker 4: a way to still give him money, give her family money. 880 00:45:07,760 --> 00:45:10,640 Speaker 4: The network has not confirmed the amount they have paid 881 00:45:10,680 --> 00:45:13,600 Speaker 4: her and the two kids to participate in this documentaries, 882 00:45:13,640 --> 00:45:16,600 Speaker 4: but it's looking like it's around a million dollars to 883 00:45:16,680 --> 00:45:21,239 Speaker 4: participate in this. And the cameras have been following her 884 00:45:21,280 --> 00:45:24,400 Speaker 4: to several court dates and they've already notably been in 885 00:45:24,520 --> 00:45:26,880 Speaker 4: the family's home, so this has been going on for 886 00:45:26,880 --> 00:45:29,600 Speaker 4: a little bit. I'm sure this documentary will be released 887 00:45:29,640 --> 00:45:31,520 Speaker 4: in the spring or summer of next year if it's 888 00:45:31,520 --> 00:45:36,320 Speaker 4: getting filmed right now. So I am interested to see 889 00:45:36,360 --> 00:45:39,440 Speaker 4: if she right now has not been arrested for any crimes. 890 00:45:39,440 --> 00:45:41,640 Speaker 4: I'm interested to see if she will get wrapped in 891 00:45:41,680 --> 00:45:43,400 Speaker 4: at all, if that will wait to come out and 892 00:45:43,440 --> 00:45:46,279 Speaker 4: trial or whatever. And there is a world in which 893 00:45:46,320 --> 00:45:49,239 Speaker 4: she could have participated with him swinging and still not 894 00:45:50,400 --> 00:45:52,480 Speaker 4: been a participant in the murders itself. 895 00:45:52,480 --> 00:45:55,440 Speaker 2: For New Year, you know what, Like I just called bullshit, 896 00:45:55,560 --> 00:45:58,040 Speaker 2: Like I'm sorry, I think that when you live in 897 00:45:58,080 --> 00:46:00,960 Speaker 2: a house and you're married and like you, there's just 898 00:46:01,000 --> 00:46:03,480 Speaker 2: no reason you don't know there's like a sex torture 899 00:46:03,520 --> 00:46:06,080 Speaker 2: dungeon in your basement, and that your husband's like raping 900 00:46:06,120 --> 00:46:08,600 Speaker 2: and killing people down there, Like come on, I'm sorry, 901 00:46:08,680 --> 00:46:11,920 Speaker 2: Like I just yeah, I mean, it's really hard to 902 00:46:11,960 --> 00:46:15,120 Speaker 2: say because like, obviously the dude ain't right. 903 00:46:15,600 --> 00:46:19,160 Speaker 3: She doesn't seem like she's right either way. 904 00:46:19,200 --> 00:46:21,400 Speaker 4: Well, she doesn't seem like she's right where she's playing 905 00:46:21,440 --> 00:46:22,160 Speaker 4: this ignorance. 906 00:46:22,160 --> 00:46:23,240 Speaker 3: That's really annoying. 907 00:46:23,840 --> 00:46:26,920 Speaker 4: Obviously, family and the family of the victims, and the 908 00:46:27,000 --> 00:46:29,640 Speaker 4: law enforcement is really upset about this because they're like, 909 00:46:29,640 --> 00:46:31,960 Speaker 4: you're giving a platform to these people. This guy's not 910 00:46:32,000 --> 00:46:33,959 Speaker 4: convicted yet, it could possibly hurt. 911 00:46:34,000 --> 00:46:37,080 Speaker 2: Also, why should they why should they become rich off 912 00:46:37,120 --> 00:46:42,719 Speaker 2: of that? That's that's horrible, right, like exactly, And it's 913 00:46:42,760 --> 00:46:46,680 Speaker 2: not cool. It's it's very distasteful, and and and of 914 00:46:46,719 --> 00:46:50,480 Speaker 2: course I'm gonna watch, of course I'm gonna watch curious 915 00:46:50,480 --> 00:46:53,520 Speaker 2: about it. But then it's like all these people, all 916 00:46:53,560 --> 00:46:56,120 Speaker 2: these people are making like millions of dollars off of this, 917 00:46:56,200 --> 00:46:59,520 Speaker 2: and and then like what about the victims and stuff, 918 00:46:59,560 --> 00:47:01,600 Speaker 2: and they're fas I don't know, it just seems kind of. 919 00:47:03,280 --> 00:47:06,600 Speaker 4: To play devil's advocate. Let's say she is let's say 920 00:47:07,000 --> 00:47:09,040 Speaker 4: take away all the information. You know, let's say she 921 00:47:09,239 --> 00:47:11,920 Speaker 4: is innocent. This is on her for the rest of 922 00:47:11,920 --> 00:47:13,839 Speaker 4: her life, and what if she can't get a job 923 00:47:13,920 --> 00:47:15,640 Speaker 4: or she can't get work, and this is the only 924 00:47:15,680 --> 00:47:18,640 Speaker 4: option she sees to provide for her family for the 925 00:47:18,680 --> 00:47:21,160 Speaker 4: rest of her life is to do things like this. Yeah, 926 00:47:21,200 --> 00:47:24,360 Speaker 4: you're not saying she's too nice, because I'm just like, 927 00:47:24,440 --> 00:47:29,440 Speaker 4: even even if she didn't participate, like she she she 928 00:47:29,560 --> 00:47:33,040 Speaker 4: may not have actively participated, but like turning a blind 929 00:47:33,120 --> 00:47:36,920 Speaker 4: eye to shit is just as bad in some cases. No, 930 00:47:37,080 --> 00:47:39,160 Speaker 4: it is, but you have to really look at both 931 00:47:39,200 --> 00:47:43,360 Speaker 4: sides and just think about it from that perspective. All right, 932 00:47:43,640 --> 00:47:47,399 Speaker 4: let's get into some medical stories. Okay, So our first 933 00:47:47,400 --> 00:47:50,440 Speaker 4: story today is about a fly was seen in a 934 00:47:50,480 --> 00:47:53,359 Speaker 4: man's intestine storing a colonoscopy. Do you want to kind 935 00:47:53,360 --> 00:47:55,080 Speaker 4: of explain how this could even happen. 936 00:47:55,360 --> 00:47:57,120 Speaker 2: I don't know how this could even happen, to be 937 00:47:57,120 --> 00:47:59,440 Speaker 2: honest with you, But a sixty three year old male 938 00:47:59,600 --> 00:48:04,279 Speaker 2: was having a routine colonoscopy and doctor saw a dead 939 00:48:04,320 --> 00:48:08,719 Speaker 2: fly in his colon like intact, and they reported it 940 00:48:08,760 --> 00:48:11,600 Speaker 2: in a journal because obviously, like that's not something that 941 00:48:11,640 --> 00:48:14,960 Speaker 2: you normally see and they're not really sure how it 942 00:48:15,000 --> 00:48:17,640 Speaker 2: got there because it only could get there really two ways, 943 00:48:17,680 --> 00:48:20,040 Speaker 2: Like it could get in there through your mouth or 944 00:48:20,040 --> 00:48:24,520 Speaker 2: through your butt, right, and if you ate, If you 945 00:48:24,840 --> 00:48:28,880 Speaker 2: ate a fly, like an intact fly, which is totally 946 00:48:28,920 --> 00:48:31,040 Speaker 2: possible because they're on food all the time and stuff 947 00:48:31,440 --> 00:48:34,319 Speaker 2: your your digestive enzymes will break that thing down in 948 00:48:34,360 --> 00:48:37,600 Speaker 2: a second. So like it couldn't have came out intact 949 00:48:37,719 --> 00:48:42,040 Speaker 2: that way. But like, also, how would it get up 950 00:48:42,239 --> 00:48:46,799 Speaker 2: his butt either? The only thing that I'm thinking, Like 951 00:48:47,600 --> 00:48:50,360 Speaker 2: there's all these other things too, Like this guy was 952 00:48:50,360 --> 00:48:53,080 Speaker 2: getting a colonoscopy, and you could see from the photo 953 00:48:53,280 --> 00:48:55,960 Speaker 2: and if you go to the article and look it up, 954 00:48:56,000 --> 00:48:59,600 Speaker 2: the photo is present and you could see that his 955 00:48:59,719 --> 00:49:02,600 Speaker 2: colon and is cleaned out. So when you get a colonoscopy, 956 00:49:02,640 --> 00:49:05,120 Speaker 2: you take a bewel prep and you're on a liquid 957 00:49:05,160 --> 00:49:07,960 Speaker 2: diet for like a whole entire day or two. Right, 958 00:49:08,600 --> 00:49:12,200 Speaker 2: So he hadn't eaten any food at all except liquids, 959 00:49:12,760 --> 00:49:16,040 Speaker 2: and two days prior to that he had pizza, And 960 00:49:16,080 --> 00:49:18,880 Speaker 2: he said he didn't remember a fly being on his food. 961 00:49:18,880 --> 00:49:21,600 Speaker 2: But like might you might not know or whatever. I 962 00:49:21,680 --> 00:49:23,520 Speaker 2: just don't think that that's where it came from from 963 00:49:23,520 --> 00:49:25,600 Speaker 2: eating like that, because how would it have gotten through 964 00:49:25,600 --> 00:49:28,839 Speaker 2: his stomach intact, and how would it still be there 965 00:49:28,880 --> 00:49:31,800 Speaker 2: when all the the poop was gone, he was totally 966 00:49:31,880 --> 00:49:35,720 Speaker 2: cleaned out, I personally think, and and this is something 967 00:49:35,719 --> 00:49:39,920 Speaker 2: that I didn't read in the article. I I know, 968 00:49:40,040 --> 00:49:43,160 Speaker 2: when you when you get a colonoscopy, they kind of 969 00:49:43,200 --> 00:49:47,480 Speaker 2: blow air up there to dilate the bell so they 970 00:49:47,480 --> 00:49:49,120 Speaker 2: could really get a good look at it, and they 971 00:49:49,160 --> 00:49:51,439 Speaker 2: put the scope up there. Like, is there any way 972 00:49:51,480 --> 00:49:54,120 Speaker 2: that that that there was a fly in the room 973 00:49:54,239 --> 00:49:56,319 Speaker 2: of the procedure and that's how he got up there? 974 00:49:56,360 --> 00:50:00,080 Speaker 2: Like I just don't. I really just don't know like that. 975 00:50:00,080 --> 00:50:02,319 Speaker 2: That's if I had to guess, that's what would be 976 00:50:02,400 --> 00:50:05,080 Speaker 2: my most likely guess is that it's somehow got up 977 00:50:05,120 --> 00:50:10,319 Speaker 2: there during during that during the procedure itself. I mean, 978 00:50:10,360 --> 00:50:14,719 Speaker 2: the thing was dead, but it was it was intact. 979 00:50:15,120 --> 00:50:17,080 Speaker 2: You could see the picture of it. It's it's nuts. 980 00:50:18,400 --> 00:50:22,560 Speaker 4: This is really giving the spider crawling up the vagina 981 00:50:22,680 --> 00:50:24,719 Speaker 4: story from our first Yes it is. 982 00:50:24,760 --> 00:50:28,360 Speaker 2: And you can you can ingest, you know. I always 983 00:50:28,480 --> 00:50:31,279 Speaker 2: show these videos, these crazy videos of people who have 984 00:50:31,280 --> 00:50:33,920 Speaker 2: maggot infestations in their body, and you can you can 985 00:50:33,960 --> 00:50:37,399 Speaker 2: totally get it in your intestines as well. But this 986 00:50:37,480 --> 00:50:40,600 Speaker 2: isn't a maggot. This is this is a fly that's alive, 987 00:50:40,719 --> 00:50:44,040 Speaker 2: and there's no other like you could poop out the 988 00:50:44,080 --> 00:50:47,160 Speaker 2: maggots if they get into your body, but there's no 989 00:50:47,280 --> 00:50:50,000 Speaker 2: poop around. There's nothing around. It's like a perfectly clean 990 00:50:50,080 --> 00:50:52,879 Speaker 2: colon and a little innocent like fly just sitting there. 991 00:50:53,239 --> 00:50:57,480 Speaker 2: So it it's disturbing. I think that if someone told 992 00:50:57,560 --> 00:50:59,440 Speaker 2: me that, I'd be like really freaked out about that 993 00:50:59,440 --> 00:51:01,080 Speaker 2: because I would to know how the hell it got 994 00:51:01,080 --> 00:51:02,920 Speaker 2: in to prevent that from ever happening again. 995 00:51:03,040 --> 00:51:08,360 Speaker 4: But yeah, all right, Well, onto astronauts and their genital issues. 996 00:51:08,840 --> 00:51:13,960 Speaker 2: I love talking about astronaut genitals. NASA recently did a 997 00:51:14,000 --> 00:51:17,719 Speaker 2: study on rats and it showed that due to the 998 00:51:17,800 --> 00:51:23,440 Speaker 2: earths galactic cosmic radiation that male astronauts are exposed to 999 00:51:24,200 --> 00:51:27,799 Speaker 2: long term during space travel, that it could affect the 1000 00:51:27,840 --> 00:51:31,200 Speaker 2: oxygen that's getting to their penis and causing them to 1001 00:51:31,239 --> 00:51:35,280 Speaker 2: have erections and long term erectile dysfunction issues. 1002 00:51:36,840 --> 00:51:39,840 Speaker 4: Well did you see how they conducted the study because 1003 00:51:39,960 --> 00:51:43,239 Speaker 4: I was thinking about the poor rats storing it, so 1004 00:51:43,400 --> 00:51:46,120 Speaker 4: they held them and harnesses at thirty degree angles and 1005 00:51:46,200 --> 00:51:50,120 Speaker 4: exposed them to various levels of radiation to make this discovery. 1006 00:51:50,160 --> 00:51:53,560 Speaker 2: It's I mean, this is what they do because otherwise 1007 00:51:53,600 --> 00:51:55,799 Speaker 2: they're going to do it on people. So and the 1008 00:51:55,840 --> 00:51:57,600 Speaker 2: thing is is that with rats, like a rat's not 1009 00:51:57,640 --> 00:52:00,800 Speaker 2: a human, so you're not going to get the same effect. 1010 00:52:00,880 --> 00:52:04,000 Speaker 2: But they they said there was another scientist that was 1011 00:52:04,080 --> 00:52:06,200 Speaker 2: noted in the article. That's just kind of like, this 1012 00:52:06,440 --> 00:52:08,400 Speaker 2: is not talking to me, Like, we know that the 1013 00:52:09,840 --> 00:52:13,359 Speaker 2: effects of this radiation have on astronauts, so it's not 1014 00:52:13,440 --> 00:52:16,279 Speaker 2: surprising because it could it could damage the lining or 1015 00:52:16,280 --> 00:52:18,879 Speaker 2: the endothelial of the vessels, and that that would cause 1016 00:52:18,920 --> 00:52:22,160 Speaker 2: problems with blood flow to any organ, not just the penis. 1017 00:52:22,200 --> 00:52:27,560 Speaker 4: So it makes total sense. No, definitely. But let's get 1018 00:52:27,600 --> 00:52:31,560 Speaker 4: into our favorite category, which is other death news. This 1019 00:52:31,640 --> 00:52:34,720 Speaker 4: first story is really sad and it kind of ties 1020 00:52:34,760 --> 00:52:37,359 Speaker 4: to a story we talked about with Brookes Shields recently too. 1021 00:52:37,440 --> 00:52:40,839 Speaker 4: So a woman died from drinking an excessive amount of 1022 00:52:40,880 --> 00:52:43,880 Speaker 4: water at the hospital. But it seems like she was 1023 00:52:43,920 --> 00:52:47,759 Speaker 4: having a mental episode and kept drinking this water and 1024 00:52:47,800 --> 00:52:52,160 Speaker 4: then she wasn't being properly tended to buy. The staff 1025 00:52:52,280 --> 00:52:55,440 Speaker 4: there they were on their phones, not paying attention and 1026 00:52:55,480 --> 00:52:57,879 Speaker 4: she ended up dying. But do you want to kind 1027 00:52:57,880 --> 00:53:00,920 Speaker 4: of explain exactly what went down with her met with 1028 00:53:01,000 --> 00:53:04,520 Speaker 4: her mental condition that led to the excessive water drinking 1029 00:53:04,600 --> 00:53:06,399 Speaker 4: and her So this happened in the UK. 1030 00:53:06,600 --> 00:53:09,600 Speaker 2: She's forty five years old and she had They just 1031 00:53:09,640 --> 00:53:12,000 Speaker 2: said she had a mental health breakdown, so that could 1032 00:53:12,000 --> 00:53:14,200 Speaker 2: be due to a lot of things. But she was 1033 00:53:14,239 --> 00:53:18,160 Speaker 2: placed into a psychiatric hospital where she was being evaluated. 1034 00:53:18,760 --> 00:53:22,239 Speaker 2: And there's there's a condition that could sometimes happen with 1035 00:53:22,320 --> 00:53:27,120 Speaker 2: people that are having psychiatric illness. That's called psychogenic polydipsia. 1036 00:53:27,520 --> 00:53:31,720 Speaker 2: So psychogenic means that it's related to a psychological issue, 1037 00:53:31,760 --> 00:53:35,480 Speaker 2: and polydipsia means that you have like excessive thirsts and 1038 00:53:35,520 --> 00:53:37,840 Speaker 2: you just want to drink all the time. That's that 1039 00:53:38,160 --> 00:53:40,319 Speaker 2: Polydipsy is one of the symptoms that you see in 1040 00:53:40,360 --> 00:53:44,800 Speaker 2: a person that has diabetes or something like that. So polydipsia, 1041 00:53:44,920 --> 00:53:48,439 Speaker 2: and she just started drinking like insane amounts of water. 1042 00:53:48,960 --> 00:53:51,920 Speaker 2: And this is this is like a known thing that happens, 1043 00:53:51,920 --> 00:53:54,439 Speaker 2: so people that are working in this specialty should also 1044 00:53:54,640 --> 00:53:57,799 Speaker 2: be like uber aware of this. She was drinking so 1045 00:53:57,880 --> 00:54:01,320 Speaker 2: much water that it dangerously lower her sodium levels in 1046 00:54:01,360 --> 00:54:03,600 Speaker 2: her blood, so it like diluted the electrolytes in her 1047 00:54:03,640 --> 00:54:07,160 Speaker 2: blood and she started to have brain swelling and she 1048 00:54:07,239 --> 00:54:10,640 Speaker 2: slipped into a coma. And when in the UK, when 1049 00:54:10,640 --> 00:54:13,560 Speaker 2: they did an inquest, it's like when they're doing an 1050 00:54:13,560 --> 00:54:16,399 Speaker 2: investigation to see like why this happened, they found out 1051 00:54:16,480 --> 00:54:19,000 Speaker 2: that the staff at the hospital were on their phones 1052 00:54:19,880 --> 00:54:23,000 Speaker 2: and duh, not surprised. Like you can't even drive down 1053 00:54:23,000 --> 00:54:25,719 Speaker 2: the street and have maybe like a couple of cars 1054 00:54:25,760 --> 00:54:28,160 Speaker 2: drive normal any war because everybody's head is down in 1055 00:54:28,200 --> 00:54:32,160 Speaker 2: their lap. It's just like, I mean, I worked in 1056 00:54:32,200 --> 00:54:35,759 Speaker 2: the hospital with phones, but I worked in the lab. 1057 00:54:35,800 --> 00:54:38,200 Speaker 2: It just was like a little bit of a different story. 1058 00:54:40,000 --> 00:54:41,759 Speaker 2: But they would tell us we weren't allowed to have 1059 00:54:41,800 --> 00:54:44,000 Speaker 2: our phones out, but like I was just like I 1060 00:54:44,080 --> 00:54:46,239 Speaker 2: have kids in daycare, Like I'm having my phone out 1061 00:54:46,280 --> 00:54:48,879 Speaker 2: if there's an emergency. Sorry, but I wasn't sitting there 1062 00:54:48,920 --> 00:54:52,600 Speaker 2: playing on it all day. But yeah, I don't work 1063 00:54:52,640 --> 00:54:54,480 Speaker 2: on the floor, so I don't know what the rules are. 1064 00:54:54,480 --> 00:54:57,680 Speaker 2: But it does it does scare you because you've seen 1065 00:54:57,760 --> 00:55:00,920 Speaker 2: people like completely go on TikTok or or YouTube and 1066 00:55:01,000 --> 00:55:04,520 Speaker 2: just zone out and then they're really supposed to be like, 1067 00:55:05,239 --> 00:55:07,359 Speaker 2: you know, if you don't, you can't just zone out 1068 00:55:07,400 --> 00:55:09,480 Speaker 2: for twenty minutes or a half hour while you're working 1069 00:55:09,520 --> 00:55:10,480 Speaker 2: in the hospital, you know. 1070 00:55:12,480 --> 00:55:15,880 Speaker 4: Yeah, for sure. So our last story is one of 1071 00:55:15,880 --> 00:55:18,480 Speaker 4: the wildest stories I've ever read in my life. I 1072 00:55:18,480 --> 00:55:22,760 Speaker 4: can't wait to explain it. So in twenty twenty these 1073 00:55:23,200 --> 00:55:26,279 Speaker 4: there is this murder that happened. Sorry, let me start over. 1074 00:55:26,440 --> 00:55:29,600 Speaker 4: In nineteen eighty seven, there were two murders and they 1075 00:55:29,600 --> 00:55:32,360 Speaker 4: were under investigation. They couldn't link it up. In twenty twenty, 1076 00:55:32,400 --> 00:55:36,239 Speaker 4: they finally solved the case using DNA and found that 1077 00:55:36,280 --> 00:55:41,480 Speaker 4: the murders were committed to this electrician and his name 1078 00:55:41,520 --> 00:55:44,919 Speaker 4: was David Fuller. So as they're looking into this guy 1079 00:55:45,000 --> 00:55:47,759 Speaker 4: and go in his home, they find quote millions of 1080 00:55:47,960 --> 00:55:51,360 Speaker 4: pictures and videos of him performing acts of necrophilia and 1081 00:55:51,400 --> 00:55:54,640 Speaker 4: sexual abuse. A ton of these pictures were taken at 1082 00:55:54,680 --> 00:55:57,080 Speaker 4: his place of work, which was a hospital, so he 1083 00:55:57,239 --> 00:56:00,680 Speaker 4: was going into the morgue. He was reading the logs 1084 00:56:00,719 --> 00:56:03,239 Speaker 4: to see how these patients died because he didn't want 1085 00:56:03,280 --> 00:56:05,319 Speaker 4: to get an infection from somebody that died of an 1086 00:56:05,320 --> 00:56:08,520 Speaker 4: infectious disease or COVID. And then he was having sex 1087 00:56:08,560 --> 00:56:11,040 Speaker 4: with dead bodies. He has said to have sex with 1088 00:56:11,800 --> 00:56:14,799 Speaker 4: well one hundred and forty violations between one hundred and 1089 00:56:14,960 --> 00:56:18,439 Speaker 4: one women and girls ranging from age eight to one 1090 00:56:18,520 --> 00:56:21,280 Speaker 4: hundred and he had been doing this from two thousand 1091 00:56:21,320 --> 00:56:24,880 Speaker 4: and five to twenty and twenty, so fifteen years he 1092 00:56:24,920 --> 00:56:27,960 Speaker 4: had been employed between multiple hospitals and had been raping 1093 00:56:28,000 --> 00:56:29,400 Speaker 4: these dead bodies essentially. 1094 00:56:29,560 --> 00:56:34,440 Speaker 2: Yeah, And I guess that the investigation with this showed that, 1095 00:56:36,000 --> 00:56:38,640 Speaker 2: like I, this was like my job for a while, 1096 00:56:38,760 --> 00:56:41,719 Speaker 2: so I obviously am like very like in tune to 1097 00:56:41,800 --> 00:56:46,840 Speaker 2: what happens. And we definitely in the more, especially like 1098 00:56:46,920 --> 00:56:49,560 Speaker 2: working in an older hospital, it was like the garbage 1099 00:56:49,600 --> 00:56:54,359 Speaker 2: disposal broke every single day, the refrigerator broke every single day, 1100 00:56:54,400 --> 00:56:58,200 Speaker 2: So I could like, we definitely had people plumbers down 1101 00:56:58,200 --> 00:57:00,600 Speaker 2: there all the time, electricians down there all the time, 1102 00:57:00,640 --> 00:57:03,520 Speaker 2: because like things break in the hospital, especially if you're 1103 00:57:03,640 --> 00:57:08,719 Speaker 2: using them right. But I can kind of see how 1104 00:57:08,760 --> 00:57:11,040 Speaker 2: it happens because a lot of morges are not attended. 1105 00:57:11,040 --> 00:57:13,239 Speaker 2: There's been some that I've worked at or that I've 1106 00:57:13,239 --> 00:57:16,240 Speaker 2: done jobs at that nobody works down there. So the 1107 00:57:16,280 --> 00:57:18,520 Speaker 2: only time someone's down there is if there's an autopsy, 1108 00:57:18,560 --> 00:57:20,720 Speaker 2: and if there's not a lot of autopsies at that hospital, 1109 00:57:21,080 --> 00:57:24,720 Speaker 2: sometimes there's only you know, sometimes the person might be 1110 00:57:24,800 --> 00:57:26,520 Speaker 2: down there like two or three times a week, and 1111 00:57:26,560 --> 00:57:29,240 Speaker 2: there's just like a lot of dead time down there, 1112 00:57:29,280 --> 00:57:33,000 Speaker 2: you know what I mean. But yeah, so that's how 1113 00:57:33,040 --> 00:57:35,880 Speaker 2: he had access to all of these people because he 1114 00:57:36,200 --> 00:57:38,720 Speaker 2: was supposed to be down there to fix the refrigerator 1115 00:57:38,760 --> 00:57:42,600 Speaker 2: and stuff. But thinking about him like going through the 1116 00:57:42,680 --> 00:57:45,440 Speaker 2: log and finding the people in the fridge, and then 1117 00:57:45,560 --> 00:57:46,960 Speaker 2: I don't know if he took them out or if 1118 00:57:46,960 --> 00:57:50,360 Speaker 2: he did it in the fridge. It's just it's just 1119 00:57:50,440 --> 00:57:55,360 Speaker 2: so disturbing. And it's even more disturbing. I always give 1120 00:57:55,400 --> 00:57:57,760 Speaker 2: a shout out to, like to police and stuff and 1121 00:57:57,800 --> 00:58:02,960 Speaker 2: detectives that are investigating this stuff, because imagine investigating a murder. 1122 00:58:03,040 --> 00:58:06,520 Speaker 2: Murders are like they're already disturbing and bloody and stuff, 1123 00:58:06,960 --> 00:58:09,520 Speaker 2: but then like you find videos of a guy having 1124 00:58:09,600 --> 00:58:12,000 Speaker 2: sex with dead children, Like, what the fuck? 1125 00:58:13,360 --> 00:58:14,440 Speaker 3: No, it's disgusting. 1126 00:58:14,480 --> 00:58:17,280 Speaker 4: And one really disturbing detail for me was that he 1127 00:58:17,440 --> 00:58:20,240 Speaker 4: was often doing this during work hours, so and then 1128 00:58:20,240 --> 00:58:23,560 Speaker 4: he was documenting himself doing it, so they're kind of 1129 00:58:23,640 --> 00:58:26,680 Speaker 4: questioning the staff working at time that in fifteen years, 1130 00:58:26,680 --> 00:58:30,200 Speaker 4: nobody walked in on him committing these crimes, which is 1131 00:58:30,240 --> 00:58:34,600 Speaker 4: really bizarre. And another really weird thing is that he's 1132 00:58:34,640 --> 00:58:38,120 Speaker 4: he's serving life in prison for the two murders that 1133 00:58:38,200 --> 00:58:40,320 Speaker 4: he did plead guilty to, but he only got a 1134 00:58:40,360 --> 00:58:43,800 Speaker 4: twelve year additional sentence for the necrophilia And I'm like, 1135 00:58:43,880 --> 00:58:47,400 Speaker 4: that's all you can get for doing something that disgusting, and 1136 00:58:47,560 --> 00:58:49,840 Speaker 4: the families are really upset. I think it brings up 1137 00:58:49,840 --> 00:58:52,880 Speaker 4: a point of do you even have to. 1138 00:58:52,960 --> 00:58:55,560 Speaker 2: I was gonna say, like I don't, I like I 1139 00:58:55,600 --> 00:58:58,400 Speaker 2: would if I ever had to deal with a with 1140 00:58:58,440 --> 00:59:01,000 Speaker 2: a child dying as it is, I certainly do not 1141 00:59:01,120 --> 00:59:03,280 Speaker 2: want to get that phone call. Like I seriously just 1142 00:59:03,320 --> 00:59:06,720 Speaker 2: don't want to get it because, like I like it 1143 00:59:06,760 --> 00:59:09,120 Speaker 2: would it would ruin the rest of my life even 1144 00:59:09,160 --> 00:59:11,320 Speaker 2: more to hear something like that, to be honest with you, 1145 00:59:11,960 --> 00:59:15,439 Speaker 2: But I guess they really have to tell you. It's 1146 00:59:15,520 --> 00:59:15,880 Speaker 2: just like. 1147 00:59:17,120 --> 00:59:20,280 Speaker 4: Because if people are dying at the hospital, that's of 1148 00:59:20,480 --> 00:59:23,280 Speaker 4: natural death only correct if their body is there for 1149 00:59:23,360 --> 00:59:24,000 Speaker 4: the most part. 1150 00:59:24,400 --> 00:59:26,640 Speaker 2: Well, this was this was in the UK, so I 1151 00:59:26,640 --> 00:59:31,560 Speaker 2: don't know how things work there in America, yes, but bodies, 1152 00:59:31,880 --> 00:59:35,360 Speaker 2: bodies go So let's say, for example, a kid dies 1153 00:59:35,360 --> 00:59:38,640 Speaker 2: in a car accident, they're gonna go and and it's 1154 00:59:38,640 --> 00:59:41,040 Speaker 2: at night, ten o'clock at night. If they're going to 1155 00:59:41,120 --> 00:59:45,480 Speaker 2: go in the refrigerator at of the Morgue hospital, and 1156 00:59:45,760 --> 00:59:48,200 Speaker 2: the medical examiner comes and picks the bodies up. They 1157 00:59:48,280 --> 00:59:51,360 Speaker 2: usually come like once a day. They'll they'll come more 1158 00:59:51,400 --> 00:59:53,640 Speaker 2: times a day sometimes, but they usually just come and 1159 00:59:53,680 --> 00:59:56,480 Speaker 2: get everybody they need to get and bring them over 1160 00:59:56,520 --> 01:00:00,400 Speaker 2: to the medical examiner's office. So they're there is a 1161 01:00:00,440 --> 01:00:03,960 Speaker 2: time where these bodies are in the refrigerator if the 1162 01:00:04,360 --> 01:00:07,720 Speaker 2: medical examiner can't get them in a certain amount of time. 1163 01:00:07,800 --> 01:00:10,480 Speaker 2: So it's not necessarily a natural death. It could be 1164 01:00:11,080 --> 01:00:13,480 Speaker 2: an accidental death or a homicide or something like. It 1165 01:00:13,760 --> 01:00:18,160 Speaker 2: could be anything. And part of the investigation showed that 1166 01:00:18,280 --> 01:00:21,760 Speaker 2: this guy went to the Morgue four hundred and forty 1167 01:00:21,760 --> 01:00:25,840 Speaker 2: four times in a year to do electrical work on 1168 01:00:25,880 --> 01:00:29,840 Speaker 2: the fridge. They think that that's outrageous. I mean, that's 1169 01:00:29,880 --> 01:00:33,520 Speaker 2: more than once a day, right, But I've worked at 1170 01:00:33,600 --> 01:00:36,840 Speaker 2: a couple different places, especially the old place I used 1171 01:00:36,880 --> 01:00:39,760 Speaker 2: to work at, and the plumbers were down there sometimes 1172 01:00:39,800 --> 01:00:41,840 Speaker 2: a couple times a day, almost every day, like It's 1173 01:00:41,880 --> 01:00:44,160 Speaker 2: just things break all the time, So I don't want 1174 01:00:44,200 --> 01:00:47,960 Speaker 2: to necessarily say that that should have raised a red flag. Plus, 1175 01:00:48,000 --> 01:00:50,160 Speaker 2: we were like friends with the plumbers and the electricis, 1176 01:00:50,160 --> 01:00:51,320 Speaker 2: and so they would be like, Hey, I'm on my 1177 01:00:51,400 --> 01:00:53,960 Speaker 2: lunch break, what's up, Hi, what's up? You know, Like, 1178 01:00:54,080 --> 01:00:56,520 Speaker 2: I don't know if I necessarily think that that's crazy. 1179 01:00:57,680 --> 01:00:59,480 Speaker 4: Yeah, I mean, I guess my point with bringing up 1180 01:00:59,480 --> 01:01:02,880 Speaker 4: the natural at the hospital is that if any death 1181 01:01:02,920 --> 01:01:05,120 Speaker 4: is hard for a loved one, but especially think about 1182 01:01:05,120 --> 01:01:07,560 Speaker 4: watching your loved one go through some terminal illness for 1183 01:01:07,600 --> 01:01:10,080 Speaker 4: a period of time and then you had that closure 1184 01:01:10,160 --> 01:01:12,520 Speaker 4: that they're finally in peace, only to discover that this 1185 01:01:12,600 --> 01:01:16,040 Speaker 4: scumbag had sex with their dead body afterwards, and like 1186 01:01:16,120 --> 01:01:17,960 Speaker 4: nobody was monitoring the situation. 1187 01:01:18,240 --> 01:01:22,000 Speaker 2: I don't I don't know. I just think it sounds 1188 01:01:22,000 --> 01:01:24,320 Speaker 2: crazy because like you've had a regular job, and so 1189 01:01:24,560 --> 01:01:28,080 Speaker 2: is everybody else listening, Mostly everybody else listening, but like 1190 01:01:28,600 --> 01:01:32,480 Speaker 2: there's just nobody like listen. People don't want to hang 1191 01:01:32,520 --> 01:01:35,720 Speaker 2: out in the morgue. It smells, it's kind of creepy. 1192 01:01:35,720 --> 01:01:38,000 Speaker 2: Most of them are in basements. There's no windows, Like 1193 01:01:38,440 --> 01:01:40,960 Speaker 2: nobody really wants to go down there. By themselves if 1194 01:01:40,960 --> 01:01:45,080 Speaker 2: they don't have to. Even when I was covering all 1195 01:01:45,120 --> 01:01:46,960 Speaker 2: the deaths and working in the morgue all the time, 1196 01:01:47,480 --> 01:01:49,720 Speaker 2: I would go down there, I would clean up, I 1197 01:01:49,720 --> 01:01:52,720 Speaker 2: would set up, I'd make sure. But if there was 1198 01:01:52,760 --> 01:01:54,560 Speaker 2: a couple days in a row that there's not an autopsy, 1199 01:01:54,600 --> 01:01:56,400 Speaker 2: there's really like not a reason to be down there 1200 01:01:56,440 --> 01:01:58,520 Speaker 2: if nothing's going on down there, you know what I mean. 1201 01:01:59,080 --> 01:02:02,720 Speaker 2: And it and the only people, like the more doors 1202 01:02:02,760 --> 01:02:05,560 Speaker 2: are locked with like codes, you know, like when you 1203 01:02:05,560 --> 01:02:07,040 Speaker 2: have to push in the buttons to get into a 1204 01:02:07,080 --> 01:02:09,720 Speaker 2: bathroom or something, but like the people that work in 1205 01:02:09,800 --> 01:02:12,600 Speaker 2: the hospital have that code to get in because they 1206 01:02:12,640 --> 01:02:16,280 Speaker 2: have to go into the refrigerator or something. So it's 1207 01:02:16,320 --> 01:02:18,600 Speaker 2: not like a regular patient could just wander down there 1208 01:02:18,600 --> 01:02:19,120 Speaker 2: and get in. 1209 01:02:19,200 --> 01:02:23,400 Speaker 3: But no, but then an employee certainly could. 1210 01:02:23,800 --> 01:02:25,840 Speaker 4: Yeah, so this is I feel like this is one 1211 01:02:25,840 --> 01:02:27,600 Speaker 4: of those stories that comes up every once in a 1212 01:02:27,680 --> 01:02:32,080 Speaker 4: while that's just like absolutely so disgusting. But hopefully we 1213 01:02:32,160 --> 01:02:34,800 Speaker 4: could just learn from this. They said they're planning on 1214 01:02:35,240 --> 01:02:38,960 Speaker 4: putting more surveillance cameras in that area, and that people 1215 01:02:39,000 --> 01:02:41,640 Speaker 4: that are non mortuary workers. I don't know if that's 1216 01:02:41,680 --> 01:02:44,520 Speaker 4: the correct term for it. Yeah, they had non mortuary 1217 01:02:44,760 --> 01:02:49,000 Speaker 4: workers must be accompanied by mortuary workers. 1218 01:02:49,120 --> 01:02:53,160 Speaker 2: And that makes sense too, because there's really there's really 1219 01:02:53,240 --> 01:02:57,560 Speaker 2: no reason because like you know how I was telling you, 1220 01:02:57,640 --> 01:03:00,120 Speaker 2: like if someone, let's say someone gets shot and they 1221 01:03:00,160 --> 01:03:01,320 Speaker 2: have to go in the fridge and wait for the 1222 01:03:01,360 --> 01:03:08,120 Speaker 2: medical examiner, Like the medical examiner is looking at that 1223 01:03:08,240 --> 01:03:13,800 Speaker 2: person's body too legally, right, Let's say like the electrician 1224 01:03:13,880 --> 01:03:15,840 Speaker 2: just went in and was like, hey, my friend got shot, 1225 01:03:15,880 --> 01:03:17,600 Speaker 2: Like let me just peek in this body bag and 1226 01:03:17,640 --> 01:03:20,240 Speaker 2: look at him. It's kind of like you can't do that. 1227 01:03:20,360 --> 01:03:24,040 Speaker 2: You just can't do that because they could like mess 1228 01:03:24,080 --> 01:03:27,320 Speaker 2: with evidence and stuff. It's just like it's really and 1229 01:03:27,600 --> 01:03:29,640 Speaker 2: this isn't to say that this can't even happen with 1230 01:03:29,720 --> 01:03:33,920 Speaker 2: like a mortuary worker, right, someone that someone that works 1231 01:03:33,960 --> 01:03:36,520 Speaker 2: in the world could be doing doing something nasty too, 1232 01:03:36,640 --> 01:03:40,280 Speaker 2: but I guess you would less like likely. You really 1233 01:03:40,360 --> 01:03:42,480 Speaker 2: have to have respect for the patients that are that 1234 01:03:42,560 --> 01:03:45,680 Speaker 2: are there because they're they're even though they're dead, they're 1235 01:03:45,720 --> 01:03:48,600 Speaker 2: like their bodies are there alone and unattended. 1236 01:03:48,680 --> 01:03:54,160 Speaker 4: Kind of Yeah, Okay, So onto our Questions of the Day. 1237 01:03:55,160 --> 01:03:58,120 Speaker 4: Every Friday, on the at mother nos Death Instagram, we 1238 01:03:58,200 --> 01:04:00,600 Speaker 4: post a little story where you guys can ask whatever 1239 01:04:00,720 --> 01:04:03,080 Speaker 4: questions you want. It could be for my mom, me, 1240 01:04:03,280 --> 01:04:03,920 Speaker 4: both of us. 1241 01:04:04,000 --> 01:04:04,440 Speaker 3: Whatever. 1242 01:04:04,960 --> 01:04:07,240 Speaker 4: So let's get into our first question, which is have 1243 01:04:07,360 --> 01:04:09,480 Speaker 4: you ever had a body twitch or jolt while you 1244 01:04:09,520 --> 01:04:11,320 Speaker 4: were working on them? 1245 01:04:11,400 --> 01:04:15,120 Speaker 2: Yeah? I have. Actually one time when I was doing 1246 01:04:15,160 --> 01:04:18,800 Speaker 2: my internship at the medical examiner's office, we had an 1247 01:04:18,840 --> 01:04:25,120 Speaker 2: autopsy on a baby that was I would say very little, 1248 01:04:25,200 --> 01:04:29,760 Speaker 2: like under three months old probably, and it was a 1249 01:04:29,800 --> 01:04:33,160 Speaker 2: co sleeping death. So the dad had drank too much 1250 01:04:33,200 --> 01:04:35,400 Speaker 2: and fell asleep with the baby on his chest on 1251 01:04:35,440 --> 01:04:37,240 Speaker 2: the couch, and the baby ended up in the crack 1252 01:04:37,280 --> 01:04:42,800 Speaker 2: of the couch. It's like very common, honestly, unfortunately, but yeah, 1253 01:04:42,800 --> 01:04:45,440 Speaker 2: the baby was there, and of course when we do 1254 01:04:45,480 --> 01:04:47,960 Speaker 2: the autopsy it's to roll out like shaking baby syndrome 1255 01:04:48,000 --> 01:04:51,800 Speaker 2: and all this other stuff trauma. And when the medical 1256 01:04:51,800 --> 01:04:55,479 Speaker 2: examiner was cutting the body this I was looking over 1257 01:04:55,640 --> 01:04:59,800 Speaker 2: and like the baby's arm was like twitching, and I 1258 01:05:00,160 --> 01:05:02,120 Speaker 2: was so freaked out because I was just like, are 1259 01:05:02,120 --> 01:05:06,160 Speaker 2: we sure that this baby's really dead? Obviously like that 1260 01:05:06,320 --> 01:05:09,320 Speaker 2: there was a rigor mortis and live remortis and stuff, 1261 01:05:09,320 --> 01:05:11,800 Speaker 2: so the baby was dead, but it was it was 1262 01:05:12,240 --> 01:05:15,320 Speaker 2: it really like freaked me out because I just was new, 1263 01:05:15,400 --> 01:05:17,320 Speaker 2: I was a new student everything, and I was staring 1264 01:05:17,320 --> 01:05:19,320 Speaker 2: and I was just like, why is nobody saying anything 1265 01:05:19,320 --> 01:05:22,520 Speaker 2: about this? So, yeah, it happened to me once, never 1266 01:05:22,600 --> 01:05:24,920 Speaker 2: on an adult, and that was the only time I 1267 01:05:24,960 --> 01:05:25,520 Speaker 2: ever saw it. 1268 01:05:27,440 --> 01:05:31,120 Speaker 4: Okay, next question, which pathology is the most interesting to you? 1269 01:05:31,960 --> 01:05:35,680 Speaker 2: I think, I mean, I love all pathology, but I'm 1270 01:05:35,840 --> 01:05:43,520 Speaker 2: especially into congenital anomalies like having a fused kidney or 1271 01:05:43,600 --> 01:05:48,720 Speaker 2: horseshoe kidney, or being born with uh like two urriders 1272 01:05:48,760 --> 01:05:50,960 Speaker 2: coming out of your kidneys or anything like that. I 1273 01:05:50,960 --> 01:05:53,600 Speaker 2: think that things that happen when you develop as a 1274 01:05:53,600 --> 01:05:55,840 Speaker 2: fetus that kind of mess up along the way or 1275 01:05:55,880 --> 01:05:58,600 Speaker 2: really interesting to me, like a double uterus. Things like 1276 01:05:58,640 --> 01:06:01,760 Speaker 2: that are my favorite. They're my favorite to find it 1277 01:06:01,840 --> 01:06:05,800 Speaker 2: autopsy because they're pretty rare, and then when you find it, 1278 01:06:05,920 --> 01:06:08,600 Speaker 2: especially if it was never mentioned in the chart, it's 1279 01:06:08,640 --> 01:06:10,600 Speaker 2: just like a little exciting. I guess. 1280 01:06:12,440 --> 01:06:15,000 Speaker 4: I'm assuming this next question came as a result of 1281 01:06:15,040 --> 01:06:19,040 Speaker 4: our cannibalism episode from last week, But can the consumption 1282 01:06:19,160 --> 01:06:22,480 Speaker 4: of human meat affect a body like sickness or something. 1283 01:06:22,240 --> 01:06:27,800 Speaker 2: Like eating a finger in a chopped salad? Yes, I 1284 01:06:27,800 --> 01:06:31,480 Speaker 2: would say it's the same as eating any like infected 1285 01:06:31,560 --> 01:06:37,040 Speaker 2: meat from any animal, right like it if. I don't 1286 01:06:37,080 --> 01:06:40,320 Speaker 2: really know how to answer this question without being completely disgusting, 1287 01:06:40,400 --> 01:06:43,800 Speaker 2: but let's talk about this as far as like pork 1288 01:06:43,880 --> 01:06:48,360 Speaker 2: or something like if you eat infected pork, which you can, 1289 01:06:48,840 --> 01:06:51,920 Speaker 2: you can get parasitic infection, which is why it's important 1290 01:06:51,920 --> 01:06:55,840 Speaker 2: to cook it at a certain temperature. So I think 1291 01:06:55,880 --> 01:06:58,720 Speaker 2: the safest thing would be would be to not eat 1292 01:06:58,760 --> 01:07:02,760 Speaker 2: it raw and to cook it. Humans carry disease just 1293 01:07:02,800 --> 01:07:06,560 Speaker 2: like any other animals, so you have HIV, hepatitis C viruses, 1294 01:07:06,600 --> 01:07:11,320 Speaker 2: bacteria could be on the skin, so the best and 1295 01:07:11,880 --> 01:07:15,160 Speaker 2: especially like if you get steak from the grocery store, 1296 01:07:15,200 --> 01:07:20,040 Speaker 2: that that cow was killed days prior to you getting that, 1297 01:07:20,800 --> 01:07:27,320 Speaker 2: so as soon as the animal's dead, the decomposition starts 1298 01:07:27,400 --> 01:07:31,720 Speaker 2: right away, and that could cause bacterial accumulation. It's kind 1299 01:07:31,760 --> 01:07:33,680 Speaker 2: of gross to think, like the steak that's sitting in 1300 01:07:33,720 --> 01:07:36,240 Speaker 2: your fridge right now is decomposed meat, but it is, 1301 01:07:36,400 --> 01:07:38,720 Speaker 2: so you just want to make sure that you kill 1302 01:07:38,800 --> 01:07:41,640 Speaker 2: any bacteria that could be on it or anything like that. 1303 01:07:42,240 --> 01:07:45,320 Speaker 2: And the same could be said with human meat. 1304 01:07:45,320 --> 01:07:48,880 Speaker 4: I guess yeah, I mean I don't think Jeffrey Dahmer 1305 01:07:48,920 --> 01:07:52,120 Speaker 4: had any reported illnesses, but then again, he was stabbed 1306 01:07:52,160 --> 01:07:55,360 Speaker 4: in prison, so we don't have any long term studies 1307 01:07:55,400 --> 01:07:59,680 Speaker 4: on that. But okay, the last question says, my father 1308 01:07:59,760 --> 01:08:04,480 Speaker 4: and A suddenly passed away from ischemic, ischemic di ischemic 1309 01:08:04,640 --> 01:08:05,320 Speaker 4: heart disease. 1310 01:08:05,400 --> 01:08:08,720 Speaker 2: What is that? So? Ischemic means that there is a 1311 01:08:08,840 --> 01:08:12,120 Speaker 2: lack of oxygen to the heart, because you're talking about 1312 01:08:12,160 --> 01:08:15,520 Speaker 2: heart disease, and that most commonly occurs when a person 1313 01:08:15,600 --> 01:08:21,200 Speaker 2: has coronary artery disease. So your heart has two blood supplies. 1314 01:08:21,280 --> 01:08:24,080 Speaker 2: The first blood supply is that it takes all of 1315 01:08:24,120 --> 01:08:27,920 Speaker 2: the blood from your aorta and your venic cavea and 1316 01:08:27,960 --> 01:08:30,559 Speaker 2: it circulates it throughout your whole body. That's called the 1317 01:08:30,600 --> 01:08:35,599 Speaker 2: circulatory system. The other blood supply is that blood vessels 1318 01:08:35,680 --> 01:08:38,240 Speaker 2: come off of the aorta and they are called the 1319 01:08:38,280 --> 01:08:42,680 Speaker 2: coronary arteries, and they give oxygenated blood to the heart itself. 1320 01:08:43,479 --> 01:08:48,800 Speaker 2: When those arteries become diseased, they can become hardened, thickened, 1321 01:08:49,000 --> 01:08:51,639 Speaker 2: they can close up, and there could be all sorts 1322 01:08:51,640 --> 01:08:56,200 Speaker 2: of other anatomical problems with them. That oxygenated blood cannot 1323 01:08:56,240 --> 01:08:58,880 Speaker 2: get to the heart muscle and it causes a portion 1324 01:08:59,120 --> 01:09:01,639 Speaker 2: of the heart muscle to die, which is an ischemic 1325 01:09:01,720 --> 01:09:04,680 Speaker 2: injury to the heart, and that's what is known as 1326 01:09:04,720 --> 01:09:08,200 Speaker 2: a myocardial infarction, which is also known to everyone else 1327 01:09:08,240 --> 01:09:10,720 Speaker 2: in the world as a heart attack. Does that make 1328 01:09:10,720 --> 01:09:12,640 Speaker 2: sense to you, Mara? I always ask Maray if it 1329 01:09:12,680 --> 01:09:16,679 Speaker 2: makes sense, because then it makes sense to everybody. So, yeah, 1330 01:09:16,800 --> 01:09:21,479 Speaker 2: it was. He had probably undiagnosed coronary artery disease. And 1331 01:09:21,920 --> 01:09:27,559 Speaker 2: it's especially in certain coronary arteries, it could really just 1332 01:09:27,720 --> 01:09:31,080 Speaker 2: cause you to drop dead. Sometimes. Lots of times people 1333 01:09:31,080 --> 01:09:34,640 Speaker 2: have heart attacks and survive, but there are times, especially 1334 01:09:34,760 --> 01:09:38,719 Speaker 2: if you have a lot of the vessels damaged. Because 1335 01:09:39,120 --> 01:09:41,880 Speaker 2: I like to say, if you have one vessel in 1336 01:09:41,920 --> 01:09:43,960 Speaker 2: your body that's really damaged, and like you kind of 1337 01:09:44,000 --> 01:09:45,719 Speaker 2: want to look around the rest of your body because 1338 01:09:45,720 --> 01:09:48,519 Speaker 2: it doesn't usually just attack one vessel. It's like kind 1339 01:09:48,520 --> 01:09:51,320 Speaker 2: of a system wide thing that maybe your carotid arteries 1340 01:09:51,360 --> 01:09:54,920 Speaker 2: aren't good, or your other coronary arteries aren't good. So 1341 01:09:55,320 --> 01:09:59,759 Speaker 2: when you hear someone had a surgery like a bypass surgery, 1342 01:10:01,360 --> 01:10:05,160 Speaker 2: that a coronary artery bypass surgery, that's because you hear 1343 01:10:05,240 --> 01:10:09,599 Speaker 2: people say like, oh, my blood vessel was eighty percent blocked, 1344 01:10:09,760 --> 01:10:12,120 Speaker 2: Like that's what they're talking about, the one that is 1345 01:10:12,160 --> 01:10:15,040 Speaker 2: bringing the oxygen to the heart. And I'm sorry about 1346 01:10:15,040 --> 01:10:15,920 Speaker 2: your father in law. 1347 01:10:18,360 --> 01:10:20,519 Speaker 4: Okay, guys, well, if you want to ask your question, 1348 01:10:20,640 --> 01:10:23,639 Speaker 4: don't forget to check our Instagram at Mother Knows Death. 1349 01:10:24,000 --> 01:10:27,439 Speaker 4: Every Friday we post the story. Instagram may not alert 1350 01:10:27,479 --> 01:10:29,759 Speaker 4: you about it, but it will be there, so definitely 1351 01:10:29,760 --> 01:10:33,600 Speaker 4: look out. Thank you to Artery Ink for sponsoring this episode, 1352 01:10:33,640 --> 01:10:35,320 Speaker 4: and we hope you guys have a great rest of 1353 01:10:35,360 --> 01:10:36,200 Speaker 4: the week and weekend. 1354 01:10:36,320 --> 01:10:44,599 Speaker 2: Hey uh, thank you for listening to Mother Knows Death. 1355 01:10:45,320 --> 01:10:49,080 Speaker 2: As a reminder, my training is as a pathologist assistant. 1356 01:10:49,800 --> 01:10:53,240 Speaker 2: I have a master's level education and specialize in anatomy 1357 01:10:53,280 --> 01:10:56,920 Speaker 2: and pathology education. I am not a doctor and I 1358 01:10:56,920 --> 01:10:59,920 Speaker 2: have not diagnosed or treated anyone dead or a law 1359 01:11:00,439 --> 01:11:05,040 Speaker 2: without the assistance of a licensed medical doctor. This show, 1360 01:11:05,360 --> 01:11:09,080 Speaker 2: my website, and social media accounts are designed to educate 1361 01:11:09,120 --> 01:11:13,080 Speaker 2: and inform people based on my experience working in pathology, 1362 01:11:13,560 --> 01:11:16,760 Speaker 2: so they can make healthier decisions regarding their life and 1363 01:11:16,840 --> 01:11:21,080 Speaker 2: well being. Always remember that science is changing every day 1364 01:11:21,120 --> 01:11:24,080 Speaker 2: and the opinions expressed in this episode are based on 1365 01:11:24,160 --> 01:11:26,840 Speaker 2: my knowledge of those subjects at the time of publication. 1366 01:11:28,080 --> 01:11:31,679 Speaker 2: If you are having a medical problem, have a medical question, 1367 01:11:32,240 --> 01:11:36,360 Speaker 2: or having a medical emergency, please contact your physician or 1368 01:11:36,479 --> 01:11:42,120 Speaker 2: visit an urgent care center, emergency room, or hospital. Please rate, review, 1369 01:11:42,240 --> 01:11:46,600 Speaker 2: and subscribe to Mother Knows Death on Apple, Spotify, YouTube, 1370 01:11:46,840 --> 01:11:56,600 Speaker 2: or anywhere you get podcasts. Thanks