1 00:00:08,039 --> 00:00:14,040 Speaker 1: Mother Knows Death starring Nicole and Jemmy and Maria qk. 2 00:00:20,920 --> 00:00:22,840 Speaker 2: Hi. Everyone welcome The Mother Knows Death. 3 00:00:22,880 --> 00:00:26,119 Speaker 1: On today's episode, we're going to talk about an influencer 4 00:00:26,200 --> 00:00:30,120 Speaker 1: who discovered he had cancer after his daughter died in Utero. 5 00:00:30,960 --> 00:00:33,880 Speaker 1: That tragic helicopter crash in New York City that was 6 00:00:33,920 --> 00:00:37,159 Speaker 1: caught on film. A dead body left in a closet 7 00:00:37,200 --> 00:00:41,240 Speaker 1: in a hotel room. That one's a real doozy, wrong 8 00:00:41,479 --> 00:00:44,680 Speaker 1: lab results that led to an abortion. That one is 9 00:00:45,280 --> 00:00:47,680 Speaker 1: probably going to you guys are going to hear me 10 00:00:47,720 --> 00:00:51,080 Speaker 1: go on a rant about that. A dead fetus that 11 00:00:51,240 --> 00:00:54,280 Speaker 1: was found randomly on a New York City street, and 12 00:00:54,720 --> 00:00:57,840 Speaker 1: more So, First, let me for those of you who 13 00:00:57,920 --> 00:01:01,720 Speaker 1: are watching this episode, I look a little different today 14 00:01:01,760 --> 00:01:04,000 Speaker 1: because I have absolutely no makeup on because I got 15 00:01:04,040 --> 00:01:06,440 Speaker 1: a biopsy on my face, which is just this random 16 00:01:06,600 --> 00:01:09,920 Speaker 1: like dark spot next to my nose. So if you're 17 00:01:10,040 --> 00:01:12,959 Speaker 1: watching this, just that's that's why I look like this. 18 00:01:13,120 --> 00:01:15,440 Speaker 2: You just know you're finding everybody. 19 00:01:16,680 --> 00:01:19,560 Speaker 1: It's not the ugly, it's just like I don't normally 20 00:01:19,600 --> 00:01:21,640 Speaker 1: I put a pound of blush on in my face 21 00:01:21,840 --> 00:01:24,160 Speaker 1: right now just looks like super white, and I look 22 00:01:24,520 --> 00:01:27,839 Speaker 1: ill and I'm fine. I'll keep you updated on whatever 23 00:01:27,880 --> 00:01:31,120 Speaker 1: those results are. But like, that's that's just what it is. 24 00:01:31,200 --> 00:01:35,800 Speaker 1: So anyway, let's get let's get started on this case 25 00:01:35,840 --> 00:01:39,039 Speaker 1: of the influencer who discovered that he had cancer after 26 00:01:39,120 --> 00:01:41,360 Speaker 1: his wife was having a miscarriage. 27 00:01:41,520 --> 00:01:43,680 Speaker 2: This one is so insane. Thank you to the listener 28 00:01:43,680 --> 00:01:45,399 Speaker 2: that sent it in. As soon as she said it, 29 00:01:45,480 --> 00:01:46,880 Speaker 2: I was like, oh my god, I have to look 30 00:01:46,880 --> 00:01:50,160 Speaker 2: into this. So Sidney Raz he's a life hack influencer. 31 00:01:50,200 --> 00:01:52,640 Speaker 2: He has over four point five million followers on TikTok 32 00:01:52,680 --> 00:01:55,800 Speaker 2: over a million on Instagram. He shared that his daughter 33 00:01:55,880 --> 00:01:58,640 Speaker 2: died in utero at twenty six weeks and after her death, 34 00:01:58,680 --> 00:02:01,080 Speaker 2: he and his wife had to under genetic testing to 35 00:02:01,120 --> 00:02:04,120 Speaker 2: see exactly what went wrong. And from the test, they 36 00:02:04,120 --> 00:02:06,720 Speaker 2: found that the baby had this genetic deletion that could 37 00:02:06,720 --> 00:02:10,200 Speaker 2: cause stomach cancer. Because of this, he scheduled in endoscopy 38 00:02:10,240 --> 00:02:12,520 Speaker 2: and then he found out he had stomach cancer. 39 00:02:13,480 --> 00:02:17,000 Speaker 1: It's kind of crazy to think that his baby girl 40 00:02:17,040 --> 00:02:20,000 Speaker 1: that was going to be born, actually saved his life. 41 00:02:20,040 --> 00:02:22,880 Speaker 2: Probably, Yeah, I mean, this is why I think DNA 42 00:02:23,000 --> 00:02:25,840 Speaker 2: stories are so cool. Obviously, this is such a tragic 43 00:02:25,880 --> 00:02:28,080 Speaker 2: thing that happened to him, and then on top of 44 00:02:28,120 --> 00:02:30,680 Speaker 2: losing your child, you now find out you have cancer. 45 00:02:31,160 --> 00:02:33,200 Speaker 2: But I feel like in this case, this ends up 46 00:02:33,240 --> 00:02:36,480 Speaker 2: being best case scenario for him because he didn't have 47 00:02:36,480 --> 00:02:39,480 Speaker 2: any symptoms, and his doctors were saying that they might 48 00:02:39,520 --> 00:02:41,720 Speaker 2: have not discovered it for a couple more years, and 49 00:02:41,800 --> 00:02:43,880 Speaker 2: by that point he would have been stage three or four, 50 00:02:44,200 --> 00:02:47,600 Speaker 2: which could have been deadly. So let's first talk about 51 00:02:47,600 --> 00:02:51,799 Speaker 2: what happened to the baby that the wife was pregnant with. 52 00:02:52,000 --> 00:02:54,919 Speaker 2: Twenty six weeks is far along to lose a baby, 53 00:02:55,000 --> 00:02:55,840 Speaker 2: so that's terrible. 54 00:02:56,760 --> 00:03:02,079 Speaker 1: And they diagnosed the baby with having this condition hollow prosencephally, 55 00:03:02,800 --> 00:03:05,800 Speaker 1: and basically what that is is that you know when 56 00:03:05,840 --> 00:03:07,560 Speaker 1: you look at a brain and it looks like there's 57 00:03:07,600 --> 00:03:09,760 Speaker 1: a giant crack down the middle, it's split into like 58 00:03:09,800 --> 00:03:13,120 Speaker 1: a right and a left half. Yeah, well that doesn't 59 00:03:13,160 --> 00:03:16,160 Speaker 1: form properly. And not only the brain, but the facial 60 00:03:16,280 --> 00:03:20,680 Speaker 1: bones as well, and the fetus could sometimes look very 61 00:03:20,800 --> 00:03:25,399 Speaker 1: very malformed. So sometimes when a baby has this condition 62 00:03:25,600 --> 00:03:29,280 Speaker 1: very severe, they actually look like a cightclops, like there's 63 00:03:29,320 --> 00:03:31,880 Speaker 1: one eye in the center of the head. Sometimes it's 64 00:03:32,320 --> 00:03:36,000 Speaker 1: two eyes that are fused very close together and It 65 00:03:36,200 --> 00:03:38,560 Speaker 1: just depends on the severity of the condition as to 66 00:03:38,600 --> 00:03:41,680 Speaker 1: what the fetus would look like in that situation. But 67 00:03:42,320 --> 00:03:45,280 Speaker 1: they said that they noticed it. I guess they didn't 68 00:03:45,320 --> 00:03:50,200 Speaker 1: notice it on ultrasound until twenty six weeks, which to 69 00:03:50,280 --> 00:03:52,840 Speaker 1: me makes me think that it wasn't that severe, because 70 00:03:52,880 --> 00:03:55,160 Speaker 1: I feel like that's something they would have caught earlier 71 00:03:55,200 --> 00:03:58,480 Speaker 1: if it was that, if it was that severe. But possibly, 72 00:03:58,520 --> 00:04:03,920 Speaker 1: I'm not sure. But lest anytime, I mean really, anytime 73 00:04:03,960 --> 00:04:06,720 Speaker 1: you have a miscarriage so you don't know why it happened, 74 00:04:06,760 --> 00:04:09,160 Speaker 1: you should always try to get genetic testing if you 75 00:04:09,200 --> 00:04:13,440 Speaker 1: want to. But especially with later term babies like this, 76 00:04:13,520 --> 00:04:15,960 Speaker 1: they don't you don't usually have a miscarriage later term 77 00:04:16,000 --> 00:04:19,720 Speaker 1: as commonly, so they really want to see what's going on, 78 00:04:20,080 --> 00:04:22,040 Speaker 1: just because if they want to try to have more children, 79 00:04:22,080 --> 00:04:25,240 Speaker 1: they want to figure out what's happening. So they did 80 00:04:25,320 --> 00:04:29,640 Speaker 1: this genetic testing on the baby itself, on the fetus 81 00:04:29,680 --> 00:04:33,880 Speaker 1: that had died, and they found that this fetus had 82 00:04:33,880 --> 00:04:37,320 Speaker 1: a deletion for this cd H one gene, which increases 83 00:04:37,360 --> 00:04:40,880 Speaker 1: the risk for stomach cancer and breast cancer actually in 84 00:04:40,920 --> 00:04:45,200 Speaker 1: females as well. So once they discovered this gene, this 85 00:04:45,360 --> 00:04:48,400 Speaker 1: is a super genetic gene. This is the gene you 86 00:04:48,440 --> 00:04:50,920 Speaker 1: think of, Oh my mom had stomach cancer, now I 87 00:04:51,000 --> 00:04:53,160 Speaker 1: have it like something like that. So as soon as 88 00:04:53,200 --> 00:04:56,760 Speaker 1: they saw that the baby had this mutation, then they 89 00:04:56,880 --> 00:05:00,200 Speaker 1: were like, okay, well they got it from somewhere to 90 00:05:00,200 --> 00:05:03,000 Speaker 1: be from the mom or from the dad. So the 91 00:05:03,120 --> 00:05:05,680 Speaker 1: dad goes and gets an endoscopy done and they do 92 00:05:05,960 --> 00:05:08,919 Speaker 1: a bunch of biopsies I think he said thirty plus 93 00:05:08,960 --> 00:05:11,840 Speaker 1: biopsies on his stomach. And the reason that they do 94 00:05:11,920 --> 00:05:15,359 Speaker 1: that and this cancer is so dangerous is because because 95 00:05:15,400 --> 00:05:19,800 Speaker 1: it's called hereditary diffuse gastro cancer. So normally when you 96 00:05:19,839 --> 00:05:23,480 Speaker 1: get gastric cancer stomach cancer, it forms a tumor that 97 00:05:23,560 --> 00:05:26,599 Speaker 1: you could see that sometimes causes bleeding, and you could 98 00:05:26,600 --> 00:05:29,520 Speaker 1: tell that it's there, so you could catch it earlier 99 00:05:29,680 --> 00:05:32,640 Speaker 1: sometimes and you could see it on endoscopy when the 100 00:05:32,680 --> 00:05:37,280 Speaker 1: doctor is looking with the camera on endoscopy. This one 101 00:05:37,360 --> 00:05:40,440 Speaker 1: it's just kind of like grows diffusely, so like a 102 00:05:40,520 --> 00:05:45,400 Speaker 1: carpet underneath there, and they can't really see it with endoscopy. 103 00:05:45,520 --> 00:05:48,919 Speaker 1: So when they did his his stomach looked normal to 104 00:05:48,960 --> 00:05:52,880 Speaker 1: the doctor, but they took biopsies and looked at thirty 105 00:05:52,920 --> 00:05:55,800 Speaker 1: plus under the microscope, and one of them had a 106 00:05:55,839 --> 00:05:59,920 Speaker 1: little small area of cancer. Now, if he didn't get 107 00:06:00,080 --> 00:06:03,920 Speaker 1: that found right now, he would have presented when it 108 00:06:04,000 --> 00:06:06,680 Speaker 1: was so late because of the way that it presents. 109 00:06:06,720 --> 00:06:08,599 Speaker 1: It doesn't present as a tumor, like I said, so 110 00:06:08,680 --> 00:06:12,200 Speaker 1: by the time he started showing symptoms and problems from it, 111 00:06:12,520 --> 00:06:14,560 Speaker 1: he already would have been like a stage three or 112 00:06:14,560 --> 00:06:17,560 Speaker 1: a stage four cancer, which just has such a worse prognosis. 113 00:06:18,240 --> 00:06:21,159 Speaker 2: So remember we had a case of this in the book. 114 00:06:21,600 --> 00:06:25,599 Speaker 1: Yeah, So in my book Nicole an Jemy's Anatomy, we 115 00:06:25,640 --> 00:06:28,320 Speaker 1: had a case, a similar case of a twenty two 116 00:06:28,400 --> 00:06:32,080 Speaker 1: year old woman and her grandmother died from stomach cancer. 117 00:06:32,200 --> 00:06:35,400 Speaker 1: And then they figured out that the grandmam had this gene. 118 00:06:35,680 --> 00:06:37,440 Speaker 1: They decided to test the whole family. 119 00:06:37,720 --> 00:06:38,440 Speaker 2: She had it. 120 00:06:38,600 --> 00:06:41,800 Speaker 1: She got fifty stomach biopsies taken and the same thing 121 00:06:42,200 --> 00:06:44,400 Speaker 1: they told her, they found a small area of cancer. 122 00:06:44,920 --> 00:06:49,280 Speaker 1: So it seems really extreme. But the treatment for this 123 00:06:49,400 --> 00:06:52,560 Speaker 1: kind of cancer is to take out a person's entire stomach. 124 00:06:53,320 --> 00:06:57,080 Speaker 1: So what happens because he's pretty young, So what happens now, Like, 125 00:06:57,160 --> 00:06:58,760 Speaker 1: how did they replace it? 126 00:06:59,480 --> 00:07:01,480 Speaker 2: How does it guess when you don't have. 127 00:07:02,839 --> 00:07:04,920 Speaker 1: So your GI system starts at your mouth, and then 128 00:07:04,960 --> 00:07:07,039 Speaker 1: you have your esophagus, which is a tube that goes 129 00:07:07,080 --> 00:07:10,440 Speaker 1: into your stomach, and then the stomach starts pouring the 130 00:07:10,920 --> 00:07:14,400 Speaker 1: food that's partially digested into the small bell. So they 131 00:07:14,480 --> 00:07:17,120 Speaker 1: remove the entire stomach and they send it to pathology. 132 00:07:17,320 --> 00:07:19,480 Speaker 1: These specimens are actually kind of a bitch when we 133 00:07:19,520 --> 00:07:21,760 Speaker 1: get them because, like I said, you can't see the 134 00:07:21,800 --> 00:07:25,600 Speaker 1: tumor that great, especially in ones when we get them 135 00:07:25,640 --> 00:07:27,920 Speaker 1: when the patient had this gene and they haven't even 136 00:07:27,960 --> 00:07:31,720 Speaker 1: had a tissue diagnosis of cancer. We have to look 137 00:07:31,720 --> 00:07:33,520 Speaker 1: at a lot of it under the microscope, and the 138 00:07:33,520 --> 00:07:35,880 Speaker 1: stomach's freaking huge to look at all of it under 139 00:07:35,920 --> 00:07:39,920 Speaker 1: the microscope like that. But anyway, so they cut it 140 00:07:40,040 --> 00:07:42,840 Speaker 1: at the top, which is the bottom of the esophagus, 141 00:07:42,880 --> 00:07:44,760 Speaker 1: and then they cut it at the bottom of the stomach, 142 00:07:44,800 --> 00:07:47,040 Speaker 1: which is the top of the small bell, and they 143 00:07:47,160 --> 00:07:50,640 Speaker 1: just kind of I mean, it's just the GI system 144 00:07:50,680 --> 00:07:53,920 Speaker 1: from mouth to aenus is just a giant like tube 145 00:07:54,080 --> 00:07:56,680 Speaker 1: hoose essentially, So they just cut out a section and 146 00:07:56,720 --> 00:08:00,600 Speaker 1: they reattach it. So the esophagus then just dumped directly 147 00:08:00,760 --> 00:08:05,000 Speaker 1: into the small bal so there's different things that you 148 00:08:05,040 --> 00:08:07,600 Speaker 1: have to change the way you eat because you don't 149 00:08:07,640 --> 00:08:10,480 Speaker 1: have the stomach and the stomach acids breaking down the food, 150 00:08:10,560 --> 00:08:14,480 Speaker 1: so you're having chewed food go right into the small bow. 151 00:08:14,960 --> 00:08:15,880 Speaker 2: So you have to. 152 00:08:15,840 --> 00:08:19,600 Speaker 1: Really you can't eat like bigger chunks of food. You 153 00:08:19,640 --> 00:08:21,520 Speaker 1: really have to chew your food a lot more and 154 00:08:21,560 --> 00:08:25,080 Speaker 1: you have to just have smaller meals. But he he 155 00:08:25,200 --> 00:08:30,040 Speaker 1: really should live a full life with no complications aside 156 00:08:30,080 --> 00:08:32,360 Speaker 1: from just having to change. 157 00:08:32,120 --> 00:08:36,880 Speaker 2: The way that he eats. I mean, again, I'm going 158 00:08:36,920 --> 00:08:39,040 Speaker 2: to reiterate, this is such a tragic thing that have 159 00:08:39,080 --> 00:08:41,480 Speaker 2: occurred to them. But at least he figured this out. Now, 160 00:08:41,520 --> 00:08:44,520 Speaker 2: well he could, you know, kind of come back from 161 00:08:44,520 --> 00:08:48,040 Speaker 2: this and it wasn't an ultimate death sentence, you know. Yeah, 162 00:08:48,120 --> 00:08:52,120 Speaker 2: it's really it's really cool that you know, science is 163 00:08:52,120 --> 00:08:55,120 Speaker 2: able to do this. I mean, when you test positive 164 00:08:55,160 --> 00:08:58,839 Speaker 2: for this gene mutation, you have an eighty percent chance 165 00:08:58,880 --> 00:09:03,800 Speaker 2: of developing some cancer. So even if you test positive 166 00:09:03,800 --> 00:09:06,400 Speaker 2: for the gene, they recommend you take your stomach out. 167 00:09:06,679 --> 00:09:09,120 Speaker 2: And for women, it's even more difficult because you have 168 00:09:09,120 --> 00:09:12,320 Speaker 2: a sixty percent chance of developing lobular breast cancer, which 169 00:09:12,360 --> 00:09:15,800 Speaker 2: is not the typical breast cancer that we usually talk about, 170 00:09:15,840 --> 00:09:19,560 Speaker 2: but it's it's a type of breast cancer. So that's 171 00:09:19,559 --> 00:09:23,360 Speaker 2: why this genetic it's very important to know when you know, 172 00:09:23,440 --> 00:09:24,640 Speaker 2: when you go to the doctor and they. 173 00:09:24,640 --> 00:09:27,240 Speaker 1: Ask you, did anybody in your family have cancer or anything, 174 00:09:27,280 --> 00:09:30,680 Speaker 1: it's like really important because it could it could save 175 00:09:30,720 --> 00:09:34,520 Speaker 1: your life. And it's it's also very odd too because 176 00:09:34,559 --> 00:09:36,520 Speaker 1: it kind of has nothing to do with why this 177 00:09:36,640 --> 00:09:40,440 Speaker 1: fetus even died. It's just it just so happens that 178 00:09:40,480 --> 00:09:43,440 Speaker 1: they found that. So they still they still don't even 179 00:09:43,440 --> 00:09:46,360 Speaker 1: really know like why the fetus developed this condition, which 180 00:09:46,400 --> 00:09:49,440 Speaker 1: is which is a bummer, but at least it saved 181 00:09:49,480 --> 00:09:52,080 Speaker 1: his life. Well maybe they have the answer, but that 182 00:09:52,240 --> 00:09:55,720 Speaker 1: they're not publicly sharing something else that they found in 183 00:09:55,760 --> 00:09:58,679 Speaker 1: the testing. I think, like I think he was, you know, 184 00:09:58,800 --> 00:10:01,080 Speaker 1: just trying to be open with his audience about what 185 00:10:01,160 --> 00:10:02,960 Speaker 1: he had to get done. And I assume their recovery 186 00:10:03,040 --> 00:10:04,800 Speaker 1: is not easy from this at all. So he's probably 187 00:10:04,800 --> 00:10:06,360 Speaker 1: going to be out of commission for a while. And 188 00:10:06,720 --> 00:10:08,559 Speaker 1: you have people that are going to wonder where you are, 189 00:10:08,600 --> 00:10:10,720 Speaker 1: and so I think when you have a big following 190 00:10:10,760 --> 00:10:12,560 Speaker 1: like that, it's just best to tell them what's going on. 191 00:10:13,440 --> 00:10:14,920 Speaker 2: Yeah, and it's it's cool. 192 00:10:14,720 --> 00:10:17,240 Speaker 1: For awareness because just a lot of people don't really 193 00:10:17,320 --> 00:10:20,000 Speaker 1: know about it, and we know that that doctors always 194 00:10:20,040 --> 00:10:23,480 Speaker 1: aren't the best at communicating things with people. So it's 195 00:10:23,480 --> 00:10:26,240 Speaker 1: just always good to know when you have people in 196 00:10:26,280 --> 00:10:29,200 Speaker 1: your family that have cancer to always find out like, hey, 197 00:10:29,240 --> 00:10:30,439 Speaker 1: can this happen to me too? 198 00:10:30,640 --> 00:10:34,200 Speaker 2: Is this something that's genetic? Yeah, all right, let's move 199 00:10:34,200 --> 00:10:37,480 Speaker 2: on to this helicopter crash. So last Thursday afternoon, this 200 00:10:37,640 --> 00:10:41,079 Speaker 2: insane video came out showing this helicopter crashing into the 201 00:10:41,160 --> 00:10:44,880 Speaker 2: Hudson River. This is so disturbing because you see the 202 00:10:45,120 --> 00:10:48,160 Speaker 2: I guess it's what the fuselage of the helicopter and 203 00:10:48,200 --> 00:10:51,160 Speaker 2: then the blades just totally separate in the air. So 204 00:10:51,200 --> 00:10:53,240 Speaker 2: think of how scary that must have been for everyone 205 00:10:53,280 --> 00:10:55,319 Speaker 2: inside of it. I know, and I was. 206 00:10:55,280 --> 00:11:00,240 Speaker 1: Saying to you that whether you believe in God or not, whatever, like, 207 00:11:00,480 --> 00:11:03,360 Speaker 1: you have to see that these past couple, especially the 208 00:11:03,400 --> 00:11:05,960 Speaker 1: one that happened in DC and now this one, you're 209 00:11:06,040 --> 00:11:08,480 Speaker 1: just like, thank God that this happened over the water 210 00:11:08,640 --> 00:11:11,520 Speaker 1: and only the people that were involved in the crash 211 00:11:11,520 --> 00:11:14,480 Speaker 1: were the ones that were killed. Because when you look 212 00:11:14,520 --> 00:11:18,840 Speaker 1: at this video and you see this giant helicopter falling 213 00:11:18,880 --> 00:11:22,200 Speaker 1: from the sky. Just imagine something like that happening only 214 00:11:22,640 --> 00:11:26,600 Speaker 1: a few, you know, miles away, not even miles, but 215 00:11:26,720 --> 00:11:29,440 Speaker 1: just right within the proximity of New York City and 216 00:11:29,480 --> 00:11:32,280 Speaker 1: busy Manhattan and all those people walking down the street. 217 00:11:32,679 --> 00:11:36,960 Speaker 1: To think about a giant propeller from a helicopter just 218 00:11:37,040 --> 00:11:41,680 Speaker 1: flinging towards you on the street. I mean, it's it's terrifying. 219 00:11:42,240 --> 00:11:45,199 Speaker 2: Well that or the aircraft itself. Yeah, that had hit 220 00:11:45,240 --> 00:11:48,480 Speaker 2: a skyscraper or a neighborhood, that would have been catastrophic. 221 00:11:48,520 --> 00:11:50,800 Speaker 2: Then you add in the fear of people don't know 222 00:11:50,840 --> 00:11:53,440 Speaker 2: what happened for a while, and then there's fear of 223 00:11:53,559 --> 00:11:57,280 Speaker 2: terrorism and everybody has lnkering PTSD from nine to eleven there. 224 00:11:57,600 --> 00:12:00,839 Speaker 2: You know, this could have been really so much work. Yeah, 225 00:12:00,880 --> 00:12:02,680 Speaker 2: And I mean it just it just sucks. 226 00:12:02,760 --> 00:12:07,640 Speaker 1: I my parents and my sister and brother recently went 227 00:12:07,679 --> 00:12:10,600 Speaker 1: to Grand Canyon last year and they told me that 228 00:12:10,640 --> 00:12:13,960 Speaker 1: they were going on one of these helicopter tours. And 229 00:12:14,120 --> 00:12:16,200 Speaker 1: I said to my mom like, I'm like, are you 230 00:12:16,320 --> 00:12:20,520 Speaker 1: fucking nuts? Why would you do that? And She's just like, well, yeah, 231 00:12:20,559 --> 00:12:23,560 Speaker 1: blah blah blah. And I swear something happened that they 232 00:12:23,640 --> 00:12:26,840 Speaker 1: couldn't go like there, their bus was late or something, 233 00:12:26,920 --> 00:12:28,640 Speaker 1: and they showed up a couple of minutes later and 234 00:12:28,640 --> 00:12:30,880 Speaker 1: they're like, we can't wait, sorry, and I'm like, you 235 00:12:30,920 --> 00:12:33,120 Speaker 1: should really take that as a sign as a sign, 236 00:12:33,160 --> 00:12:35,640 Speaker 1: I was like, mom, that saved your life whatever. Like 237 00:12:35,760 --> 00:12:39,640 Speaker 1: I just I I never want to be on a 238 00:12:39,640 --> 00:12:44,120 Speaker 1: helicopter unless I'm getting metavaced because like I'm about to 239 00:12:44,200 --> 00:12:47,560 Speaker 1: drop that or something. I don't know, but I understand 240 00:12:47,559 --> 00:12:49,880 Speaker 1: that people are in them all the time, and it's 241 00:12:49,960 --> 00:12:52,199 Speaker 1: just I don't know, they just I don't like them 242 00:12:52,240 --> 00:12:55,520 Speaker 1: ever since Kobe Bryant. I'm like, yeah, no, thanks, yeah exactly, 243 00:12:55,520 --> 00:12:56,840 Speaker 1: I'm the same exact way as you. 244 00:12:56,920 --> 00:12:58,800 Speaker 2: Obviously, you guys make fun of me all the time 245 00:12:58,840 --> 00:13:00,680 Speaker 2: because I don't want to do like anything like that 246 00:13:00,840 --> 00:13:04,520 Speaker 2: at all. But helicopters are what we have to tell 247 00:13:04,520 --> 00:13:05,520 Speaker 2: them the latest one. 248 00:13:07,040 --> 00:13:10,560 Speaker 1: Oh. So we're we're going on this cruise to Bermuda, right, 249 00:13:10,640 --> 00:13:13,240 Speaker 1: And I'm like like trying to figure out because I've 250 00:13:13,240 --> 00:13:14,959 Speaker 1: never been on a cruise and I've never even really 251 00:13:15,000 --> 00:13:15,880 Speaker 1: been to another country. 252 00:13:15,920 --> 00:13:16,679 Speaker 2: Like I don't know what to do. 253 00:13:16,720 --> 00:13:18,920 Speaker 1: But I'm just kind of like, well, when the cruise 254 00:13:19,040 --> 00:13:21,840 Speaker 1: lands there, Like, can I just like go rent a 255 00:13:21,880 --> 00:13:24,200 Speaker 1: car and wet and gave and I the kids could 256 00:13:24,200 --> 00:13:27,000 Speaker 1: go drive around. And Maria's like, you can't leave the 257 00:13:27,000 --> 00:13:30,480 Speaker 1: proximity of the of the boat, and I'm like, Maria, 258 00:13:30,600 --> 00:13:32,679 Speaker 1: it's it's Bermuda, dude, It's. 259 00:13:32,520 --> 00:13:35,280 Speaker 2: Not like I don't know any going into Like I 260 00:13:35,280 --> 00:13:37,720 Speaker 2: don't know anything about Bermuda. And I was under the 261 00:13:37,800 --> 00:13:41,480 Speaker 2: assumption again you think I'm gonna get like murdered by 262 00:13:41,480 --> 00:13:44,080 Speaker 2: the drug carteller. It's not even murdered. Like some of 263 00:13:44,120 --> 00:13:47,800 Speaker 2: these islands have like crazy like wild animals and stuff, 264 00:13:47,800 --> 00:13:50,760 Speaker 2: and that's why they tell you not to leave the resort. Obviously, 265 00:13:50,840 --> 00:13:54,560 Speaker 2: I'm very naive to the landscape of Bermuda. But it's 266 00:13:54,559 --> 00:13:56,760 Speaker 2: gonna be fine. But no, I don't want to go. 267 00:13:57,679 --> 00:14:00,720 Speaker 2: I'll just stay. Yeah, So then me and my sister like, oh, 268 00:14:00,800 --> 00:14:03,120 Speaker 2: maybe we'll go snorkeling, or maybe we'll go in this 269 00:14:03,200 --> 00:14:03,840 Speaker 2: cave and stuff. 270 00:14:03,840 --> 00:14:06,600 Speaker 1: And Marie is like, I think, just ell stay safe 271 00:14:06,640 --> 00:14:07,240 Speaker 1: on the boat. 272 00:14:07,400 --> 00:14:08,280 Speaker 2: I'm not going to leave. 273 00:14:08,520 --> 00:14:11,160 Speaker 1: Like, could you imagine being in Bermuda and not like 274 00:14:11,520 --> 00:14:13,199 Speaker 1: wanting to explore the whole island. 275 00:14:12,960 --> 00:14:17,319 Speaker 2: Because you're deathly afraid of everything, all right, just want 276 00:14:17,360 --> 00:14:19,640 Speaker 2: a pedia Colada on the beach and I want everybody 277 00:14:19,640 --> 00:14:22,680 Speaker 2: to leave me alone. Anyway, on the helicopter, there was 278 00:14:22,720 --> 00:14:24,960 Speaker 2: a family of five who were tourists from Spain and 279 00:14:25,000 --> 00:14:27,720 Speaker 2: the pilot, unfortunately, all of them are pronounced dead due 280 00:14:27,760 --> 00:14:30,640 Speaker 2: to the crash. Now the FAA is saying that this 281 00:14:30,760 --> 00:14:33,440 Speaker 2: company has to suspend all of their flights. What I 282 00:14:33,480 --> 00:14:35,920 Speaker 2: thought was interesting was I saw this article on CNN 283 00:14:35,960 --> 00:14:40,280 Speaker 2: today that they the director of operations for this helicopter 284 00:14:40,360 --> 00:14:43,480 Speaker 2: company had voluntarily suspended all of the flights. And then 285 00:14:43,480 --> 00:14:46,360 Speaker 2: apparently the CEO of this company fired that guy and 286 00:14:46,400 --> 00:14:51,080 Speaker 2: said he had no authorization to suspend the flights. So 287 00:14:51,160 --> 00:14:54,320 Speaker 2: now the FAA has said, quote the immediate firing of 288 00:14:54,360 --> 00:14:57,600 Speaker 2: the director of operations raises serious safety concerns because it 289 00:14:57,600 --> 00:15:01,480 Speaker 2: appears mister Roth, who's the CEO for tal, mister Costello 290 00:15:01,520 --> 00:15:04,160 Speaker 2: who was the director for making the safety decision to 291 00:15:04,160 --> 00:15:08,800 Speaker 2: cease operations during the investigation. I do think that's concerning. 292 00:15:09,520 --> 00:15:13,560 Speaker 1: Yeah, so why why, like why would and and it's 293 00:15:13,600 --> 00:15:17,920 Speaker 1: so tragic too, It's not just like oh people, you know, 294 00:15:18,040 --> 00:15:19,040 Speaker 1: people die whatever. 295 00:15:19,080 --> 00:15:21,800 Speaker 2: Everyoney's life is. Well, didn't you hear his quote, he said, 296 00:15:21,800 --> 00:15:26,960 Speaker 2: these are machines. They break like did no told like? 297 00:15:27,280 --> 00:15:31,360 Speaker 1: But Siah and and listen to an extent, He's right 298 00:15:31,520 --> 00:15:33,640 Speaker 1: like it it's a machine and it broke. It doesn't 299 00:15:33,640 --> 00:15:36,320 Speaker 1: seem the pilot seemed like he was. He was like 300 00:15:36,480 --> 00:15:39,360 Speaker 1: legit and trained. And I mean, listen, we don't need 301 00:15:39,400 --> 00:15:42,000 Speaker 1: the investigation. We saw with our own eyes what happened, 302 00:15:42,360 --> 00:15:42,760 Speaker 1: and it. 303 00:15:42,800 --> 00:15:46,840 Speaker 2: But like, did it break because there wasn't routine maintenance 304 00:15:46,880 --> 00:15:48,320 Speaker 2: and it wasn't being checked out? 305 00:15:48,400 --> 00:15:51,720 Speaker 1: Or was it truly just a freak? Gags? Regardless of 306 00:15:51,720 --> 00:15:56,080 Speaker 1: what happened. Okay, a mom and a dad and their 307 00:15:56,200 --> 00:16:01,160 Speaker 1: children died like recreationally trying to over New York City 308 00:16:01,200 --> 00:16:03,880 Speaker 1: to celebrate the mom's birthday and then one of the 309 00:16:03,960 --> 00:16:07,840 Speaker 1: kid's birthday. The kid was turning eight the next day. Okay, 310 00:16:07,560 --> 00:16:09,760 Speaker 1: have some heart and be like, you know what, We're 311 00:16:09,760 --> 00:16:11,520 Speaker 1: gonna take off for a little while and try to 312 00:16:11,560 --> 00:16:14,960 Speaker 1: figure out what happened instead of just wanting to make 313 00:16:15,040 --> 00:16:17,720 Speaker 1: money right away. And what person in the right mind 314 00:16:17,800 --> 00:16:20,480 Speaker 1: is doing this after that happened, I don't know. 315 00:16:20,840 --> 00:16:23,480 Speaker 2: I just can't even see it. I think this investigation 316 00:16:23,560 --> 00:16:25,920 Speaker 2: is gonna be tough because they said that this helicopter 317 00:16:26,000 --> 00:16:28,440 Speaker 2: didn't have a black box or flight recorders, and they 318 00:16:28,440 --> 00:16:32,800 Speaker 2: said no onboard video recordings, camera recordings have been recovered, 319 00:16:33,720 --> 00:16:36,280 Speaker 2: or any other information like that. So I think they 320 00:16:36,320 --> 00:16:38,680 Speaker 2: are going to have a difficult time finding out exactly 321 00:16:38,680 --> 00:16:43,200 Speaker 2: what happened unless they have people working there that like 322 00:16:43,520 --> 00:16:46,160 Speaker 2: are gonna come forward about possible issues or whatever. 323 00:16:46,240 --> 00:16:49,520 Speaker 1: But that's a stretch, so you just don't know. So 324 00:16:49,800 --> 00:16:52,800 Speaker 1: dol they So they got the bodies, they found, the 325 00:16:52,840 --> 00:16:55,120 Speaker 1: bodies brought, they're gonna bring them to the medical examiners 326 00:16:55,160 --> 00:16:57,320 Speaker 1: to get autopsy. I'm sure they're already autop seed at 327 00:16:57,320 --> 00:17:01,360 Speaker 1: this point. Her brother had to travel from Spain to 328 00:17:01,440 --> 00:17:05,480 Speaker 1: come identify his sister's body, along with her husband and 329 00:17:05,520 --> 00:17:08,600 Speaker 1: their children. So how terrible is that? It's so horrible. 330 00:17:08,680 --> 00:17:11,199 Speaker 1: It's so horrible. So they're going to determine how the 331 00:17:11,240 --> 00:17:14,359 Speaker 1: people died, If they died in the aircraft itself, when 332 00:17:14,400 --> 00:17:16,880 Speaker 1: it was in the air still, or when it hit 333 00:17:17,080 --> 00:17:22,119 Speaker 1: the water, if they died from drowning, or you know, 334 00:17:22,280 --> 00:17:25,159 Speaker 1: like they'll figure out what happened. Blunt damage, probably a 335 00:17:25,160 --> 00:17:28,440 Speaker 1: combination of some of these things. So I'm sure they'll 336 00:17:28,440 --> 00:17:31,040 Speaker 1: release that at some point when all the testing comes back, 337 00:17:31,080 --> 00:17:43,359 Speaker 1: but freaking terrible, guys, we have hit over one million 338 00:17:43,400 --> 00:17:47,320 Speaker 1: downloads and we are celebrating because of it. So initially 339 00:17:47,440 --> 00:17:52,280 Speaker 1: we were having a giveaway contest just to let you 340 00:17:52,280 --> 00:17:54,560 Speaker 1: guys know that how thankful we are. And we had 341 00:17:54,640 --> 00:17:57,360 Speaker 1: all of these prizes, including a copy of my book 342 00:17:57,920 --> 00:18:00,520 Speaker 1: and a year to the Grossroom and some other prizes. 343 00:18:00,920 --> 00:18:03,560 Speaker 1: And since we've had so many submissions and they've all 344 00:18:03,600 --> 00:18:06,120 Speaker 1: been so great, we decided that there still is going 345 00:18:06,160 --> 00:18:08,480 Speaker 1: to be that one grand prize, but we're also going 346 00:18:08,520 --> 00:18:11,359 Speaker 1: to give away a couple more signed copies of my 347 00:18:11,440 --> 00:18:13,960 Speaker 1: book to some of you who are making submissions. 348 00:18:14,400 --> 00:18:17,400 Speaker 2: Yeah, so next Tuesday, we're going to announce four winners. 349 00:18:17,440 --> 00:18:19,960 Speaker 2: They will be emailed, of course beforehand that they've won 350 00:18:20,000 --> 00:18:23,199 Speaker 2: the prize, and you have until this Friday to submit 351 00:18:23,280 --> 00:18:25,600 Speaker 2: your entry. But you're going to head over to Apple 352 00:18:25,840 --> 00:18:28,679 Speaker 2: leave us a written review, Spotify and leave us a review, 353 00:18:28,800 --> 00:18:32,760 Speaker 2: or head over to YouTube and subscribe. Screenshot your submission 354 00:18:32,840 --> 00:18:38,359 Speaker 2: and then send it over to stories at mothernosdeath dot com. Okay, 355 00:18:38,400 --> 00:18:41,520 Speaker 2: this one is extra disturbing for me. So there's a 356 00:18:41,560 --> 00:18:45,200 Speaker 2: new lawsuit filed against University of Maryland Medical Center because 357 00:18:45,200 --> 00:18:47,960 Speaker 2: it was discovered that a pharmacist working there had used 358 00:18:47,960 --> 00:18:50,720 Speaker 2: a special software to hack into their computers and used 359 00:18:50,720 --> 00:18:55,440 Speaker 2: it to download information to stock his female coworkers. All right, 360 00:18:55,480 --> 00:18:59,119 Speaker 2: so let's be more descriptive of what happened here, because 361 00:18:59,160 --> 00:19:03,840 Speaker 2: this is what it should freak everyone out. Apparently, I 362 00:19:03,880 --> 00:19:07,480 Speaker 2: don't know. I didn't even know this was a possibility, 363 00:19:08,240 --> 00:19:10,400 Speaker 2: and I know Gay warns me about it all the time, 364 00:19:10,400 --> 00:19:13,439 Speaker 2: but I don't really I always plow them off. But 365 00:19:13,720 --> 00:19:18,200 Speaker 2: he was able to break into their eye cloud accounts 366 00:19:18,240 --> 00:19:21,440 Speaker 2: and into their personal computers at their house, and into 367 00:19:21,480 --> 00:19:24,520 Speaker 2: their cameras at their house, and was able to like 368 00:19:24,960 --> 00:19:28,560 Speaker 2: see them having sex with their husbands and seeing nude 369 00:19:28,560 --> 00:19:31,560 Speaker 2: pictures they were sending to their husband or something over 370 00:19:31,600 --> 00:19:35,399 Speaker 2: the eye cloud like this. It was up to eighty 371 00:19:35,480 --> 00:19:38,760 Speaker 2: people he was spying on throughout the course of years. 372 00:19:38,800 --> 00:19:40,760 Speaker 2: And that's what's scary to me. 373 00:19:41,400 --> 00:19:46,160 Speaker 1: That he was able to change a button on cameras. 374 00:19:46,200 --> 00:19:48,240 Speaker 1: You know, when the camera's on, sound like he's tearing 375 00:19:48,280 --> 00:19:50,960 Speaker 1: the light off. So yeah, the little green light was on. 376 00:19:51,040 --> 00:19:53,840 Speaker 1: You didn't even know your camera was on. And it's 377 00:19:53,920 --> 00:19:56,879 Speaker 1: just like all of us have cameras on our doorbells 378 00:19:56,920 --> 00:19:59,119 Speaker 1: and in our house and on our computers and things 379 00:19:59,200 --> 00:19:59,560 Speaker 1: like that. 380 00:19:59,680 --> 00:20:01,720 Speaker 2: And remember Gabe. 381 00:20:01,880 --> 00:20:03,959 Speaker 1: Used to say to pull like he used to like 382 00:20:03,960 --> 00:20:06,119 Speaker 1: put a piece of tape over the camera, used to 383 00:20:06,200 --> 00:20:08,320 Speaker 1: he still does it, and we were just like, dude, 384 00:20:08,359 --> 00:20:10,920 Speaker 1: you are so paranoid. And he's like, people could look 385 00:20:10,920 --> 00:20:12,760 Speaker 1: through your cameras and we're like, well, how. 386 00:20:12,640 --> 00:20:15,200 Speaker 2: If it's not on? Well, isn't this what like Edward 387 00:20:15,280 --> 00:20:18,560 Speaker 2: Snowden whistle blue about our government that they were doing 388 00:20:18,640 --> 00:20:19,399 Speaker 2: that to people. 389 00:20:20,240 --> 00:20:23,840 Speaker 1: I don't know, it's just so freaking scary that that 390 00:20:24,000 --> 00:20:26,520 Speaker 1: somebody has access to all your shit like that. 391 00:20:27,280 --> 00:20:29,560 Speaker 2: Well yeah, and like scary. 392 00:20:29,160 --> 00:20:32,240 Speaker 1: Like why if you're that good, Like why are you 393 00:20:32,440 --> 00:20:35,560 Speaker 1: using it for something like that? You should open your 394 00:20:35,560 --> 00:20:38,280 Speaker 1: own computer company or software company or something. 395 00:20:38,320 --> 00:20:40,760 Speaker 2: It's just so weird. Well, these seem to be the 396 00:20:40,800 --> 00:20:43,359 Speaker 2: type of people that get recruited by the FBI because 397 00:20:43,400 --> 00:20:45,600 Speaker 2: they're such good criminals that they were. They're like, we 398 00:20:45,720 --> 00:20:48,600 Speaker 2: actually need you because we need to learn how criminals 399 00:20:48,640 --> 00:20:52,160 Speaker 2: do this. So, I don't know, this is incredibly disturbing. 400 00:20:52,200 --> 00:20:54,159 Speaker 2: It seems first of all, he's been doing this for 401 00:20:54,200 --> 00:20:56,879 Speaker 2: eight years and they believe he's targeted at least like 402 00:20:57,080 --> 00:21:00,679 Speaker 2: minimum eighty of his female coworkers. So at first he 403 00:21:00,760 --> 00:21:04,080 Speaker 2: was accessing their social Security numbers and I guess their addresses, 404 00:21:04,119 --> 00:21:06,200 Speaker 2: And then eventually he figured out he could get into 405 00:21:06,240 --> 00:21:09,919 Speaker 2: their personal eye clouds, so then he was getting nude photos. 406 00:21:10,280 --> 00:21:13,040 Speaker 2: So then it when he figured out the camera component 407 00:21:13,080 --> 00:21:15,560 Speaker 2: of this, he was spying on either women at his 408 00:21:15,760 --> 00:21:19,840 Speaker 2: job changing or breastfeeding their children. And then eventually he 409 00:21:19,920 --> 00:21:22,359 Speaker 2: was hacking into their systems at home so he would 410 00:21:22,400 --> 00:21:25,840 Speaker 2: see them having intimate moments with their significant others and 411 00:21:26,000 --> 00:21:29,800 Speaker 2: all this horrible stuff. I'm really curious how they figured 412 00:21:29,800 --> 00:21:33,160 Speaker 2: this out exactly, Like who figured out he was doing it? 413 00:21:33,359 --> 00:21:36,200 Speaker 2: And how did this guy have the time at work 414 00:21:36,560 --> 00:21:39,600 Speaker 2: to do all of this without anyone noticing for almost 415 00:21:39,680 --> 00:21:40,280 Speaker 2: a decade. 416 00:21:40,800 --> 00:21:42,560 Speaker 1: I don't know, I did, you know what, though, I 417 00:21:42,600 --> 00:21:44,320 Speaker 1: do think it's a little weird that you would have 418 00:21:44,359 --> 00:21:46,560 Speaker 1: cameras like in your bedroom and stuff like. 419 00:21:46,600 --> 00:21:49,399 Speaker 2: Not well, not cameras if you have a computer in 420 00:21:49,440 --> 00:21:52,080 Speaker 2: your bedroom or your iPhone. Oh yeah, that's a camera. 421 00:21:52,920 --> 00:21:57,280 Speaker 2: It's not like people just have security all over. Oh 422 00:21:57,320 --> 00:22:00,679 Speaker 2: my god, this is fucking scary. It's really scary to me. 423 00:22:01,160 --> 00:22:06,159 Speaker 2: In classic Edward, You're not Edward Twilight, Charles Colin the 424 00:22:06,200 --> 00:22:10,280 Speaker 2: serial killer. Allegedly the hospital or the medical center has 425 00:22:10,320 --> 00:22:13,880 Speaker 2: known about this since last year and they did fire him, 426 00:22:13,920 --> 00:22:16,879 Speaker 2: but of course he's just pushed him onto another facility. 427 00:22:17,200 --> 00:22:20,240 Speaker 2: So as of this article we're referencing, he was still 428 00:22:20,520 --> 00:22:24,760 Speaker 2: actively working pharmacist at another medical center. And only the 429 00:22:24,800 --> 00:22:27,919 Speaker 2: women that were contacted by the FBI know they were 430 00:22:28,040 --> 00:22:30,359 Speaker 2: victims of this, So there are some women that don't 431 00:22:30,359 --> 00:22:31,800 Speaker 2: even know they were targets of his. 432 00:22:32,320 --> 00:22:35,480 Speaker 1: I don't understand, Like, I just don't understand why he's 433 00:22:35,520 --> 00:22:36,199 Speaker 1: not in prison. 434 00:22:38,240 --> 00:22:42,320 Speaker 2: I don't know and there's no qual charges. Why. Clearly, 435 00:22:42,359 --> 00:22:45,400 Speaker 2: if the FBI is interviewing women, they have enough evidence 436 00:22:45,440 --> 00:22:47,680 Speaker 2: to know that he's done this, So how are they 437 00:22:48,280 --> 00:22:50,639 Speaker 2: filing this? How do they have enough evidence to file 438 00:22:50,680 --> 00:22:53,520 Speaker 2: this lawsuit but not enough to get him charged. 439 00:22:55,119 --> 00:22:58,960 Speaker 1: I don't under I just really don't understand it. I mean, 440 00:22:59,040 --> 00:23:02,000 Speaker 1: I like, obviously you want to you want you're gonna 441 00:23:02,000 --> 00:23:03,919 Speaker 1: sue the guy. Like what is suing a person going 442 00:23:04,000 --> 00:23:06,480 Speaker 1: to do? He's a pharmacist, he's not, he's not he 443 00:23:06,520 --> 00:23:08,359 Speaker 1: doesn't have a shit ton of money like that. 444 00:23:08,520 --> 00:23:11,080 Speaker 2: Like, I don't think they're suing him. I think they're 445 00:23:11,160 --> 00:23:14,320 Speaker 2: suing the Medical Center for not having high enough security 446 00:23:14,400 --> 00:23:16,720 Speaker 2: that they should have that allowed him to do this. 447 00:23:17,200 --> 00:23:19,920 Speaker 1: Yeah, I mean that that for sure, if somebody if 448 00:23:19,920 --> 00:23:22,199 Speaker 1: that's happening at work, and especially if they knew it 449 00:23:22,359 --> 00:23:24,520 Speaker 1: they and they were just like brushing it under the rug. 450 00:23:25,680 --> 00:23:27,520 Speaker 2: This scares the shit out of me. I will be 451 00:23:27,600 --> 00:23:30,920 Speaker 2: following Gabe's footsteps and putting the little cutout posted note 452 00:23:30,920 --> 00:23:34,280 Speaker 2: over my cameras. I think they even make special phone 453 00:23:34,320 --> 00:23:37,440 Speaker 2: cases to do it. It's so terrifying. 454 00:23:38,680 --> 00:23:42,080 Speaker 1: I it no, it's it, like seriously is because then 455 00:23:42,640 --> 00:23:44,679 Speaker 1: like if he could see stuff through the camera, then 456 00:23:44,720 --> 00:23:46,680 Speaker 1: they're like listening to you in your house too. 457 00:23:47,440 --> 00:23:50,359 Speaker 2: Well, Instagram's already listening to you in your house. 458 00:23:51,760 --> 00:23:55,119 Speaker 1: That that is definitely true. But what is the newest 459 00:23:55,160 --> 00:23:57,920 Speaker 1: thing that was popping up we were talking about recently? 460 00:23:58,000 --> 00:24:00,440 Speaker 1: So we know, we all know I have my Mezza thelium, 461 00:24:00,560 --> 00:24:03,640 Speaker 1: my ads, but I had I had a totally new 462 00:24:03,720 --> 00:24:05,280 Speaker 1: set of ads last week that I was like, this 463 00:24:05,400 --> 00:24:07,240 Speaker 1: is ridiculous because I think it was something I just 464 00:24:07,240 --> 00:24:09,760 Speaker 1: said to you in passing, Well, do. 465 00:24:09,720 --> 00:24:11,320 Speaker 2: You want to hear something crazy that happened? 466 00:24:11,359 --> 00:24:14,920 Speaker 1: So I got like some targeted ad for a Phillies 467 00:24:15,000 --> 00:24:17,480 Speaker 1: hat and I liked it, and then I ordered it 468 00:24:17,520 --> 00:24:19,119 Speaker 1: and I got it and it was like not the 469 00:24:19,200 --> 00:24:19,680 Speaker 1: right color. 470 00:24:19,760 --> 00:24:21,240 Speaker 2: So I was like, I'm going to return it. 471 00:24:21,280 --> 00:24:23,439 Speaker 1: But before I decided to return it, I took a 472 00:24:23,480 --> 00:24:25,919 Speaker 1: picture of it and I sent it to my brother 473 00:24:26,040 --> 00:24:28,960 Speaker 1: and I said, I don't like, I don't really like 474 00:24:29,000 --> 00:24:29,760 Speaker 1: the way this looks. 475 00:24:29,760 --> 00:24:30,240 Speaker 2: Do you want it? 476 00:24:30,280 --> 00:24:31,680 Speaker 1: Because if you don't want it, then I'm going to 477 00:24:31,760 --> 00:24:34,200 Speaker 1: return it. And he said no, So fine. Gabe wasn't 478 00:24:34,200 --> 00:24:36,399 Speaker 1: even home at all when all this went down. So 479 00:24:36,480 --> 00:24:39,119 Speaker 1: then like last night, he sends me a picture of 480 00:24:39,160 --> 00:24:41,440 Speaker 1: the hat and he's like, oh, you might like this hat, 481 00:24:42,320 --> 00:24:44,720 Speaker 1: and it's the same hat, and I'm just like, this 482 00:24:44,760 --> 00:24:47,480 Speaker 1: is outrageous. If it's it's not like it's like a 483 00:24:47,600 --> 00:24:50,560 Speaker 1: very weird Phillies ha, it's like not the traditional one 484 00:24:50,720 --> 00:24:55,639 Speaker 1: that And I'm just like, are we all somehow connected 485 00:24:55,720 --> 00:24:58,680 Speaker 1: that It's like that picture was taken in this house 486 00:24:58,720 --> 00:25:01,679 Speaker 1: of that or something was from that place from this house. 487 00:25:02,119 --> 00:25:04,879 Speaker 2: It's just weird. I think it is starting to connect 488 00:25:04,880 --> 00:25:07,240 Speaker 2: it or it figures out who's in your household, because 489 00:25:07,320 --> 00:25:10,240 Speaker 2: half the reals, Ricky sends me or vice versa, where 490 00:25:10,280 --> 00:25:13,240 Speaker 2: like we already saw that earlier today, so you're getting 491 00:25:13,240 --> 00:25:14,600 Speaker 2: fed the same as that content. 492 00:25:14,960 --> 00:25:18,520 Speaker 1: Yeah, and out of the millions and billions of videos 493 00:25:18,560 --> 00:25:21,800 Speaker 1: on Instagram, you're like, how are we both individually seeing 494 00:25:21,880 --> 00:25:24,520 Speaker 1: like the same video exactly when it doesn't even have 495 00:25:24,680 --> 00:25:26,199 Speaker 1: like crazy views or whatever. 496 00:25:26,520 --> 00:25:28,880 Speaker 2: I don't know. I feel horrible for these women. It's 497 00:25:28,880 --> 00:25:31,880 Speaker 2: such an invasion of privacy. It's worse than having somebody 498 00:25:31,920 --> 00:25:35,040 Speaker 2: like peeping in your window, because they're in your house essentially, 499 00:25:35,080 --> 00:25:37,880 Speaker 2: and you don't even know it. It's such an invasion 500 00:25:37,880 --> 00:25:41,119 Speaker 2: of privacy. Yeah, and it's scary because you're just like, 501 00:25:41,160 --> 00:25:43,919 Speaker 2: when you're in your house, it's your safe space. You know, 502 00:25:44,000 --> 00:25:47,920 Speaker 2: you don't think that people are listening and watching you, no, exactly, 503 00:25:48,000 --> 00:25:51,640 Speaker 2: but anymore today you just never know. Yeah, all right. 504 00:25:51,720 --> 00:25:54,480 Speaker 2: So in Key Largo, Florida, the family of this forty 505 00:25:54,480 --> 00:25:56,640 Speaker 2: three year old woman had called police because they hadn't 506 00:25:56,680 --> 00:25:58,880 Speaker 2: heard from her in a couple of days, which wasn't normal. 507 00:25:59,359 --> 00:26:01,560 Speaker 2: So police figure out that at some point she met 508 00:26:01,600 --> 00:26:04,080 Speaker 2: up with this guy at a local hotel. He ended 509 00:26:04,160 --> 00:26:06,119 Speaker 2: up staying tonight, but checked out the next day and 510 00:26:06,160 --> 00:26:09,439 Speaker 2: went about his day. Apparently, when he checked out, the 511 00:26:09,480 --> 00:26:12,040 Speaker 2: cleaning people saw that there was a bloody sheets and 512 00:26:12,080 --> 00:26:14,520 Speaker 2: towels stuffed in a trash bag, but didn't think to 513 00:26:14,600 --> 00:26:17,000 Speaker 2: contact police, so they just threw it out and didn't 514 00:26:17,040 --> 00:26:20,159 Speaker 2: say anything. Then they cleaned the room. They let another 515 00:26:20,280 --> 00:26:23,200 Speaker 2: family check into the room they stayed overnight, checked out 516 00:26:23,200 --> 00:26:25,679 Speaker 2: the next day, and by the time police get involved. 517 00:26:25,680 --> 00:26:27,679 Speaker 2: At this point, they go back in the room and 518 00:26:27,720 --> 00:26:30,040 Speaker 2: find the woman stuffed in a closet where the air 519 00:26:30,040 --> 00:26:32,480 Speaker 2: conditioner was. So these people had no idea they were 520 00:26:32,480 --> 00:26:34,080 Speaker 2: staying in a hotel room with a dead. 521 00:26:33,880 --> 00:26:38,560 Speaker 1: Body, right, And when you stay in a hotel room, 522 00:26:38,600 --> 00:26:42,000 Speaker 1: you don't normally, I mean, obviously you would open a closet, 523 00:26:42,040 --> 00:26:44,440 Speaker 1: but I guess some of them have a I don't 524 00:26:44,520 --> 00:26:47,639 Speaker 1: know why one would have an air conditioning closet, but 525 00:26:47,760 --> 00:26:49,040 Speaker 1: I guess some of them might have. 526 00:26:49,800 --> 00:26:51,720 Speaker 2: No, that's not true. One of the hotel rooms that. 527 00:26:51,680 --> 00:26:53,720 Speaker 1: We stay in when we go to Cape May is 528 00:26:53,760 --> 00:26:55,720 Speaker 1: like an older building, and I think that there's a 529 00:26:55,800 --> 00:26:58,720 Speaker 1: hot water heater in one of the doors. I never 530 00:26:58,760 --> 00:27:01,240 Speaker 1: looked in there, but I remember opening it and looking 531 00:27:01,280 --> 00:27:04,200 Speaker 1: in there, so I could totally see. I guess how 532 00:27:04,240 --> 00:27:07,560 Speaker 1: something like that could happen. Oh my god, could you imagine? 533 00:27:07,640 --> 00:27:09,960 Speaker 1: Because my kids When we go into a hotel room, 534 00:27:10,359 --> 00:27:13,960 Speaker 1: they open and explore every single inch of the hotel room. 535 00:27:14,280 --> 00:27:16,520 Speaker 1: They just want to know, like this is different from 536 00:27:16,520 --> 00:27:19,159 Speaker 1: where we live. We open every drawer, we want to 537 00:27:19,160 --> 00:27:22,399 Speaker 1: see what everything is. Could you imagine if kids or 538 00:27:22,440 --> 00:27:24,679 Speaker 1: something opened the door and saw a dead woman that 539 00:27:24,760 --> 00:27:26,200 Speaker 1: was beat to death in the closet. 540 00:27:26,960 --> 00:27:29,119 Speaker 2: No, I really can't. And then I have to ask, 541 00:27:29,280 --> 00:27:31,960 Speaker 2: like did that not smell? Because even if she was 542 00:27:32,040 --> 00:27:34,879 Speaker 2: killed that morning, it's hours later, it's Florida. I know 543 00:27:34,960 --> 00:27:37,280 Speaker 2: she was next to an air conditioner, but yeah, I 544 00:27:37,280 --> 00:27:38,640 Speaker 2: don't know. Not in a day. 545 00:27:38,680 --> 00:27:41,800 Speaker 1: It might have smelled like a little off, but not really. 546 00:27:41,840 --> 00:27:44,359 Speaker 1: I mean just being there a day. If if it 547 00:27:44,440 --> 00:27:47,679 Speaker 1: was like a normal room temperature room, or even the 548 00:27:47,720 --> 00:27:51,639 Speaker 1: air was on it, it doesn't have to smell. 549 00:27:51,280 --> 00:27:52,160 Speaker 2: In a day like that. 550 00:27:52,280 --> 00:27:54,720 Speaker 1: And like I said, like how many times if you've 551 00:27:54,760 --> 00:27:56,520 Speaker 1: been in a hotel room where it like there's like 552 00:27:56,560 --> 00:27:58,879 Speaker 1: a weird smell and you're just like, oh whatever, Like 553 00:27:59,600 --> 00:28:02,600 Speaker 1: a pair of a lot of people don't really know 554 00:28:02,640 --> 00:28:05,639 Speaker 1: what the smell of a decomposing body smells like. I 555 00:28:05,680 --> 00:28:09,240 Speaker 1: feel like everyone should because at least everyone smelled either 556 00:28:09,280 --> 00:28:13,439 Speaker 1: a dead animal or like rotted meat, even if you 557 00:28:13,480 --> 00:28:15,520 Speaker 1: throw it in your trash can and open your trash 558 00:28:15,520 --> 00:28:17,399 Speaker 1: can and it stinks so bad, like it has a 559 00:28:17,520 --> 00:28:21,480 Speaker 1: very specific smell to me, of like a decomp smell. 560 00:28:21,560 --> 00:28:25,880 Speaker 1: But I don't know, Like who knows. Do you think 561 00:28:25,920 --> 00:28:28,960 Speaker 1: they tell the family what happened? Or you just see 562 00:28:28,960 --> 00:28:31,960 Speaker 1: this article and you just hope it wasn't you. These 563 00:28:32,000 --> 00:28:34,760 Speaker 1: people have no idea, and like they might not even 564 00:28:34,760 --> 00:28:37,200 Speaker 1: see the article because I feel like I found this 565 00:28:37,280 --> 00:28:40,080 Speaker 1: on like a more I mean, maybe the story just 566 00:28:40,120 --> 00:28:43,160 Speaker 1: came out, but this was on like a smaller local news. 567 00:28:43,200 --> 00:28:48,600 Speaker 1: It's not like from CNN or anything, so they might 568 00:28:48,640 --> 00:28:52,000 Speaker 1: not ever know. I mean I hope they do, and 569 00:28:52,000 --> 00:28:54,120 Speaker 1: I hope they come forward and say, like how would 570 00:28:54,160 --> 00:28:54,640 Speaker 1: you even know? 571 00:28:54,680 --> 00:28:57,400 Speaker 2: It's just it's just messed up, all right. This twenty 572 00:28:57,440 --> 00:28:59,719 Speaker 2: eight year old woman in her fiance, they had been 573 00:28:59,760 --> 00:29:01,280 Speaker 2: trying I have a baby for a while and they 574 00:29:01,360 --> 00:29:03,760 Speaker 2: ended up breaking up because it was too much frustration. 575 00:29:04,360 --> 00:29:06,440 Speaker 2: So they were only broken up for a couple of weeks, 576 00:29:06,560 --> 00:29:08,960 Speaker 2: and in that time she had slept with somebody else, 577 00:29:09,720 --> 00:29:10,760 Speaker 2: so they get back together. 578 00:29:10,840 --> 00:29:14,240 Speaker 1: So let's stop right there already, Like she already sucks, right, 579 00:29:14,760 --> 00:29:17,160 Speaker 1: like you're trying to start a family with somebody, and 580 00:29:17,200 --> 00:29:19,240 Speaker 1: you break up because you're stressed out about it, So 581 00:29:19,520 --> 00:29:21,640 Speaker 1: the solution is to go have sex with somebody else. 582 00:29:21,840 --> 00:29:24,000 Speaker 2: Well, how do you know she broke up with him? 583 00:29:24,600 --> 00:29:27,040 Speaker 1: She said they broke up because of stress and aggravation 584 00:29:27,160 --> 00:29:28,640 Speaker 1: from inability to conceive. 585 00:29:29,000 --> 00:29:30,600 Speaker 2: Yeah, but what if he said, I don't want to 586 00:29:30,600 --> 00:29:33,560 Speaker 2: do this anymore still, like three weeks? 587 00:29:33,640 --> 00:29:33,840 Speaker 1: Dude? 588 00:29:34,040 --> 00:29:36,600 Speaker 2: No, all right, Well, you're not going to be in 589 00:29:36,640 --> 00:29:39,120 Speaker 2: the popular opinion with this one, because when most people 590 00:29:39,160 --> 00:29:41,720 Speaker 2: break up with each other, they don't like, wait a while. 591 00:29:42,200 --> 00:29:45,960 Speaker 1: So if you really think, if you really like, if 592 00:29:45,960 --> 00:29:48,600 Speaker 1: you're with somebody that you're planning on marrying and that 593 00:29:48,720 --> 00:29:51,360 Speaker 1: you love, you're not having sex with somebody else like 594 00:29:51,440 --> 00:29:53,320 Speaker 1: a couple of days after you, guys break up. 595 00:29:53,360 --> 00:29:53,960 Speaker 2: I'm sorry. 596 00:29:54,280 --> 00:29:58,200 Speaker 1: Well I don't think I'm in the minority. 597 00:29:57,640 --> 00:30:01,120 Speaker 2: With that, but listen, I would not, but most people do. 598 00:30:01,240 --> 00:30:04,360 Speaker 2: And I think you're gonna be like in the unpopular 599 00:30:04,400 --> 00:30:07,520 Speaker 2: opinion about that. And you don't know why they broke up, 600 00:30:07,600 --> 00:30:10,720 Speaker 2: so let's chill out with me. I do know why 601 00:30:10,760 --> 00:30:11,320 Speaker 2: they broke up. 602 00:30:11,360 --> 00:30:14,200 Speaker 1: It said because of stress and aggravation from their inability 603 00:30:14,200 --> 00:30:14,800 Speaker 1: to conceive. 604 00:30:15,120 --> 00:30:17,720 Speaker 2: But you're saying that if she broke up with him 605 00:30:17,720 --> 00:30:19,160 Speaker 2: and that was the love of her life, why is 606 00:30:19,160 --> 00:30:22,400 Speaker 2: she gonna go sleep with somebody like you don't know 607 00:30:22,600 --> 00:30:24,560 Speaker 2: she broke up with him, He might have broke up 608 00:30:24,600 --> 00:30:26,200 Speaker 2: with her, and then she was like, fuck you, I'm 609 00:30:26,200 --> 00:30:29,800 Speaker 2: sleeping with somebody else. Yes, no, that's that's weird, Okay, 610 00:30:29,880 --> 00:30:33,760 Speaker 2: So your judgment aside. She they end up getting back 611 00:30:33,800 --> 00:30:36,240 Speaker 2: together after a couple of weeks, and then she gets 612 00:30:36,240 --> 00:30:39,479 Speaker 2: pregnant right away and she fears that it might be 613 00:30:39,480 --> 00:30:42,400 Speaker 2: the hookups baby. So behind her fiance's back, this is 614 00:30:42,400 --> 00:30:45,560 Speaker 2: where I could agree she's wrong. Instead of telling her 615 00:30:45,560 --> 00:30:48,480 Speaker 2: fiance what happened, that she slept with another person, she 616 00:30:48,600 --> 00:30:50,720 Speaker 2: meets up with this guy behind his back and has 617 00:30:50,760 --> 00:30:54,120 Speaker 2: not one, but three paternity tests to see if this 618 00:30:54,200 --> 00:30:57,800 Speaker 2: guy is the baby's dad. So two of the first 619 00:30:57,840 --> 00:31:00,320 Speaker 2: two tests were inconclusive. So then they find it another 620 00:31:00,440 --> 00:31:04,480 Speaker 2: place and do another fraternity test, and then she goes 621 00:31:04,520 --> 00:31:06,520 Speaker 2: for it and has a gender reveal party with the 622 00:31:06,560 --> 00:31:09,320 Speaker 2: fiance and everything. This whole time he's thinking it's his kid, 623 00:31:09,520 --> 00:31:11,480 Speaker 2: and then she gets a call from the place that 624 00:31:11,560 --> 00:31:13,959 Speaker 2: says they are ninety nine point nine to nine percent 625 00:31:14,040 --> 00:31:16,200 Speaker 2: certain that the hookup is the baby's dead. 626 00:31:17,880 --> 00:31:20,600 Speaker 1: Okay, and I love that you just think that this 627 00:31:20,760 --> 00:31:23,800 Speaker 1: is the wrong part about it. I mean, it gets 628 00:31:24,000 --> 00:31:28,080 Speaker 1: it gets way worse. So then so then she has 629 00:31:28,160 --> 00:31:31,240 Speaker 1: to tell the guy, Okay, this isn't your kid, this 630 00:31:31,360 --> 00:31:34,200 Speaker 1: is this guy I slept with his kid. And then 631 00:31:34,280 --> 00:31:37,320 Speaker 1: she gets an abortion because of it, and she was 632 00:31:37,520 --> 00:31:40,760 Speaker 1: over twenty weeks pregnant, so she decides. 633 00:31:40,680 --> 00:31:41,720 Speaker 2: I'm not keeping this kid. 634 00:31:41,760 --> 00:31:46,280 Speaker 1: I'm gonna get an abortion, right and I don't. They 635 00:31:46,320 --> 00:31:49,280 Speaker 1: don't really weren't really clear on like if her and 636 00:31:49,440 --> 00:31:52,880 Speaker 1: her fiance decided that that's what they should do, like who, 637 00:31:53,040 --> 00:31:56,680 Speaker 1: like what made them decide, But regardless, she gets the abortion, 638 00:31:57,520 --> 00:32:00,920 Speaker 1: they stay together, and then a couple months later, she 639 00:32:01,040 --> 00:32:04,000 Speaker 1: gets a phone call that, oh, we're sorry, there was 640 00:32:04,280 --> 00:32:07,720 Speaker 1: a lab error. And in fact, that guy isn't your 641 00:32:07,920 --> 00:32:11,200 Speaker 1: baby's father. The guy that you're at who's your fiance, 642 00:32:11,440 --> 00:32:12,360 Speaker 1: is actually the father. 643 00:32:13,160 --> 00:32:15,240 Speaker 2: I'm just saying the part that you're taking of it, 644 00:32:15,280 --> 00:32:17,560 Speaker 2: that she's suck with somebody after getting broken up with 645 00:32:17,760 --> 00:32:20,560 Speaker 2: is like the least problematic part of this entire equation. 646 00:32:20,920 --> 00:32:23,040 Speaker 2: It's the fact that, like, she's not being honest with 647 00:32:23,080 --> 00:32:26,040 Speaker 2: her fiance. She's going behind his back and doing something 648 00:32:26,240 --> 00:32:29,760 Speaker 2: and then you immediately result to getting an abortion. It's ridiculous. 649 00:32:29,800 --> 00:32:31,960 Speaker 2: If you were trying so hard to have a baby, 650 00:32:32,240 --> 00:32:34,200 Speaker 2: and even if it was the other guy's baby, you 651 00:32:34,200 --> 00:32:36,120 Speaker 2: should still go forward and have it and then if 652 00:32:36,120 --> 00:32:39,560 Speaker 2: your relationship last, it lasts, and if it doesn't, it doesn't. 653 00:32:40,120 --> 00:32:43,720 Speaker 1: Yeah, it's just well and listen, like this is this 654 00:32:43,760 --> 00:32:47,040 Speaker 1: is exactly why there's people who are against abortion because 655 00:32:47,080 --> 00:32:50,080 Speaker 1: of like assholes like this that shouldn't have children. To 656 00:32:50,080 --> 00:32:53,400 Speaker 1: be honest with you, like it, it definitely is a 657 00:32:53,400 --> 00:32:56,880 Speaker 1: thing that should be available for women, but like this 658 00:32:57,040 --> 00:32:59,080 Speaker 1: to me is like an abuse of it. And it's 659 00:32:59,200 --> 00:33:04,040 Speaker 1: just it's just completely ridiculous. And once you hear the 660 00:33:04,040 --> 00:33:07,600 Speaker 1: more things like so now she's saying that she wants 661 00:33:07,640 --> 00:33:10,240 Speaker 1: to sue the company and she wants them to be 662 00:33:10,320 --> 00:33:13,920 Speaker 1: held accountable, and it's just like, dude, you fucking suck. Lady, 663 00:33:14,000 --> 00:33:17,360 Speaker 1: Like she she sucks as a person on so many levels, 664 00:33:17,400 --> 00:33:21,040 Speaker 1: Like I don't know, I think she sucks because she's 665 00:33:21,280 --> 00:33:23,600 Speaker 1: you know, not being honest with the fiance and obviously, 666 00:33:23,600 --> 00:33:25,960 Speaker 1: if something like that happened, you're not gonna want to 667 00:33:25,960 --> 00:33:26,840 Speaker 1: come forward necessarily. 668 00:33:26,960 --> 00:33:29,080 Speaker 2: I just don't think she treated it the correct way. 669 00:33:29,480 --> 00:33:32,440 Speaker 2: And I think jumping to an abortion, while it's every 670 00:33:32,480 --> 00:33:34,400 Speaker 2: woman's right to have that if they want to, it 671 00:33:34,520 --> 00:33:37,960 Speaker 2: was just rather extreme. And she even said after she 672 00:33:38,040 --> 00:33:40,120 Speaker 2: started the process of it, she regretted it and she 673 00:33:40,200 --> 00:33:43,840 Speaker 2: tried to backtrack, but they were like, it's too late. Listen. 674 00:33:43,920 --> 00:33:46,920 Speaker 1: Like, I've been real open with that. When Gabe and 675 00:33:47,000 --> 00:33:49,080 Speaker 1: I were dating that we broke up a lot because 676 00:33:49,120 --> 00:33:51,760 Speaker 1: it was just like, like all this stuff and the 677 00:33:51,840 --> 00:33:54,480 Speaker 1: last thing I was thinking about was ever just trying 678 00:33:54,480 --> 00:33:56,400 Speaker 1: to bang it out with somebody else. When you're like 679 00:33:56,760 --> 00:33:58,640 Speaker 1: in love with someone and you're trying to like figure 680 00:33:58,680 --> 00:34:00,480 Speaker 1: things out and stuff, you just don't go out and 681 00:34:00,520 --> 00:34:01,440 Speaker 1: have sex with somebody. 682 00:34:01,520 --> 00:34:03,360 Speaker 2: That's your experience, So chill. 683 00:34:03,600 --> 00:34:06,240 Speaker 1: It is my experience, That's what that's That's why I'm 684 00:34:06,240 --> 00:34:07,240 Speaker 1: staying my opinion. 685 00:34:07,800 --> 00:34:11,000 Speaker 2: Yeah, but you're being aggressive about it. Just simmer down. 686 00:34:11,040 --> 00:34:14,320 Speaker 2: The problem is not that she slept with somebody else necessarily, 687 00:34:14,400 --> 00:34:18,880 Speaker 2: like it's it's the fact that the subsequent series of 688 00:34:18,880 --> 00:34:22,360 Speaker 2: events that occurred afterwards. The company should be responsible in 689 00:34:22,400 --> 00:34:26,160 Speaker 2: some capacity for having inaccurate results and not relaying that 690 00:34:26,200 --> 00:34:29,000 Speaker 2: information for a couple of months, but they should not 691 00:34:29,040 --> 00:34:32,640 Speaker 2: be responsible for her deciding to get an abortion because 692 00:34:32,680 --> 00:34:36,520 Speaker 2: of that, because this is such a weird situation. It's 693 00:34:36,560 --> 00:34:39,520 Speaker 2: just such a weird situation. I think she should have 694 00:34:39,600 --> 00:34:42,040 Speaker 2: just told the fiance, like, listen, I thought we were 695 00:34:42,040 --> 00:34:43,959 Speaker 2: done for good and I had sex with somebody else 696 00:34:44,280 --> 00:34:46,200 Speaker 2: and I don't think it's his kid, but I just 697 00:34:46,239 --> 00:34:48,080 Speaker 2: want to make sure before we go forward with this, 698 00:34:48,320 --> 00:34:50,319 Speaker 2: instead of sneakily trying to tell him it was her 699 00:34:50,360 --> 00:34:53,040 Speaker 2: baby while she thought it might have not been his baby, 700 00:34:53,760 --> 00:34:57,000 Speaker 2: and then you ended up losing him anyway. So and 701 00:34:57,360 --> 00:34:59,480 Speaker 2: now you you've lost your child that you work so 702 00:34:59,520 --> 00:35:02,360 Speaker 2: hard to can and now you don't have the fiance. 703 00:35:02,520 --> 00:35:06,600 Speaker 1: Well that's that's what is really is mind blowing, and 704 00:35:06,640 --> 00:35:09,279 Speaker 1: it's kind of like, Okay, so you were having a 705 00:35:09,320 --> 00:35:12,239 Speaker 1: hard time getting pregnant and then you finally did and 706 00:35:12,280 --> 00:35:16,480 Speaker 1: you were just like like it. It's so incredibly gross 707 00:35:16,560 --> 00:35:20,799 Speaker 1: and selfish. It like makes me like feel so uncomfortable 708 00:35:20,840 --> 00:35:23,319 Speaker 1: inside to hear about this story. And now what like 709 00:35:23,400 --> 00:35:25,359 Speaker 1: she's just gonna stay with this guy and then they're 710 00:35:25,400 --> 00:35:27,880 Speaker 1: just gonna make another kid and then that live happily 711 00:35:27,920 --> 00:35:31,480 Speaker 1: ever after. It's just gross, like you shouldn't ever be well, 712 00:35:31,480 --> 00:35:34,279 Speaker 1: they're telling people that this is okay at all. They're 713 00:35:34,280 --> 00:35:38,279 Speaker 1: not together anymore, so, like it's it's idiotic that she 714 00:35:38,360 --> 00:35:42,319 Speaker 1: even did it to beget so they're not together now 715 00:35:42,320 --> 00:35:44,640 Speaker 1: because they were together when they called and said it 716 00:35:45,120 --> 00:35:46,640 Speaker 1: was actually his baby. 717 00:35:47,360 --> 00:35:51,000 Speaker 2: She got the abortion, and so I guess at that 718 00:35:51,120 --> 00:35:53,520 Speaker 2: time he found out that it wasn't his kid. But 719 00:35:53,560 --> 00:35:56,480 Speaker 2: then they stayed together, and then a couple of months 720 00:35:56,560 --> 00:35:59,879 Speaker 2: later when the place found out they made a lab 721 00:36:00,120 --> 00:36:03,799 Speaker 2: error and alerted her that the fiance was actually the 722 00:36:03,880 --> 00:36:06,680 Speaker 2: kid's dad, then they broke up because he was probably 723 00:36:06,680 --> 00:36:08,080 Speaker 2: like this. 724 00:36:08,280 --> 00:36:11,200 Speaker 1: He was finally like kid, he was like, oh, you 725 00:36:11,320 --> 00:36:14,680 Speaker 1: finally saw that was the final straw. 726 00:36:15,880 --> 00:36:18,239 Speaker 2: I don't agree with this. I think if you want 727 00:36:18,239 --> 00:36:20,440 Speaker 2: to get an abortion, that's you're right. I think this 728 00:36:20,480 --> 00:36:34,000 Speaker 2: story is just ridiculous, all right. 729 00:36:34,040 --> 00:36:37,520 Speaker 1: Well, speaking of fetuses, so this woman was just casually 730 00:36:37,520 --> 00:36:40,160 Speaker 1: walking down the street in Brooklyn and then came across 731 00:36:40,280 --> 00:36:44,719 Speaker 1: fetus on the ground. So ems said that the fetus 732 00:36:44,719 --> 00:36:48,160 Speaker 1: looked like it was about sixteen weeks, which is four 733 00:36:48,200 --> 00:36:52,359 Speaker 1: months pregnant. According to all these pregnancy websites, it says 734 00:36:52,400 --> 00:36:54,799 Speaker 1: that the baby would be about the size of an avocado. 735 00:36:55,320 --> 00:36:58,520 Speaker 1: It's you know, we've got sixteen week fetuses all the 736 00:36:58,520 --> 00:37:02,279 Speaker 1: time in surgical pathology, and I would say you could 737 00:37:02,320 --> 00:37:03,840 Speaker 1: put it in your hand and it would fill up 738 00:37:03,840 --> 00:37:08,120 Speaker 1: your hand. It's pretty decent size. If it was sitting 739 00:37:08,160 --> 00:37:10,600 Speaker 1: on the street, any person in the world would know 740 00:37:10,640 --> 00:37:18,080 Speaker 1: what it was because it's very recognizably human at that point, arms, hands, fingers, toes, toenails, eyelids, 741 00:37:18,480 --> 00:37:22,200 Speaker 1: the whole. You know, it looks like what you think 742 00:37:22,239 --> 00:37:26,520 Speaker 1: of as a fetus. So they have a crime scene 743 00:37:26,520 --> 00:37:28,359 Speaker 1: set up they're gonna show. What they'll do is they'll 744 00:37:28,360 --> 00:37:30,920 Speaker 1: send it to the medical Examiner's office. The autop see it. 745 00:37:30,920 --> 00:37:33,120 Speaker 1: They'll see if there was any evidence of trauma. I 746 00:37:33,160 --> 00:37:36,000 Speaker 1: would say that it's more than likely that someone had 747 00:37:36,040 --> 00:37:39,000 Speaker 1: some kind of a miscarriage and it just I don't 748 00:37:39,040 --> 00:37:41,239 Speaker 1: know if they were outside when it happened, or I 749 00:37:41,239 --> 00:37:44,120 Speaker 1: don't know what happened that it ended up on the sidewalk, 750 00:37:44,160 --> 00:37:47,400 Speaker 1: But I would say that it's more than likely not 751 00:37:49,160 --> 00:37:54,200 Speaker 1: like a crime per se. What do you think I mean, 752 00:37:54,239 --> 00:37:55,439 Speaker 1: I haven't heard anything else. 753 00:37:55,480 --> 00:37:55,879 Speaker 2: It's just. 754 00:37:57,400 --> 00:38:01,160 Speaker 1: Unless I just think it's a product of a miscarriage. 755 00:38:02,239 --> 00:38:04,799 Speaker 2: I think We see this a lot of times in 756 00:38:04,880 --> 00:38:07,839 Speaker 2: young people that get pregnant by accident and they don't 757 00:38:07,840 --> 00:38:11,920 Speaker 2: know what to do and they can't tell anybody, So 758 00:38:11,960 --> 00:38:14,600 Speaker 2: that then that's how this ends up happening, where you're 759 00:38:14,640 --> 00:38:17,120 Speaker 2: finding them like in the trash and everything. I have 760 00:38:17,120 --> 00:38:19,120 Speaker 2: a question though, when it says that the fetus is 761 00:38:19,160 --> 00:38:21,279 Speaker 2: four months old, like, this is not a four month 762 00:38:21,320 --> 00:38:25,759 Speaker 2: old baby, it's a fetus that is four months developed, correct, Yeah, 763 00:38:25,800 --> 00:38:27,600 Speaker 2: that's what I would think, like sixteen weeks. 764 00:38:29,120 --> 00:38:32,600 Speaker 1: Yeah, I mean I don't really know, because I obviously, 765 00:38:32,640 --> 00:38:34,920 Speaker 1: like I didn't see the scene itself. I don't know 766 00:38:34,960 --> 00:38:37,440 Speaker 1: if there was a placenta, was there blood, was it 767 00:38:37,640 --> 00:38:41,840 Speaker 1: just a fetus on because just like obviously if you 768 00:38:41,920 --> 00:38:44,680 Speaker 1: have a miscarriage at sixteen weeks, it's like you don't 769 00:38:44,719 --> 00:38:47,680 Speaker 1: have a perfectly clean fetus coming out by itself without 770 00:38:48,480 --> 00:38:52,279 Speaker 1: a lot of blood and the placenta and the other 771 00:38:52,440 --> 00:38:56,960 Speaker 1: products of conception. So that would imply to me that 772 00:38:57,040 --> 00:39:01,320 Speaker 1: it was moved from wherever however it left the mom's 773 00:39:01,360 --> 00:39:04,799 Speaker 1: belly at that point. So I mean that's kind of 774 00:39:04,840 --> 00:39:07,360 Speaker 1: the investigation they're gonna have to do. But like you said, 775 00:39:07,400 --> 00:39:10,880 Speaker 1: like and this this could just happen too. Like if 776 00:39:10,920 --> 00:39:14,480 Speaker 1: you if you have a miscarriage at your house, I 777 00:39:14,480 --> 00:39:17,120 Speaker 1: mean you don't you don't have to go to the hospital. 778 00:39:17,160 --> 00:39:19,880 Speaker 1: I think that you should just to get checked to 779 00:39:19,920 --> 00:39:22,799 Speaker 1: make sure it all came out. But like sometimes if 780 00:39:22,840 --> 00:39:24,759 Speaker 1: you're four months along and it comes out like the 781 00:39:25,280 --> 00:39:29,240 Speaker 1: things sizable, like what, you can't flush it down the toilet, 782 00:39:29,320 --> 00:39:30,960 Speaker 1: Like what do you? I don't know what you're supposed 783 00:39:30,960 --> 00:39:32,839 Speaker 1: to do with it. I actually think that we had 784 00:39:32,880 --> 00:39:36,080 Speaker 1: a story that, remember, some woman had a miscarriage and 785 00:39:36,440 --> 00:39:38,840 Speaker 1: she I don't know if she tried to flush it 786 00:39:38,880 --> 00:39:40,719 Speaker 1: down the toilet or whatever she did, but she got 787 00:39:40,760 --> 00:39:44,520 Speaker 1: in trouble for it that of like disposing of a 788 00:39:45,120 --> 00:39:50,680 Speaker 1: human remains or something like that. And I don't really 789 00:39:50,719 --> 00:39:52,960 Speaker 1: know like what the proper thing is, and I'm sure 790 00:39:52,960 --> 00:39:54,480 Speaker 1: it varies from state to state. 791 00:39:54,560 --> 00:39:57,200 Speaker 2: But like if you were if you were eight. 792 00:39:57,040 --> 00:40:00,200 Speaker 1: Weeks pregnant or nine weeks pregnant, had a miscarriage, you 793 00:40:00,520 --> 00:40:02,640 Speaker 1: would just like flush it down the toilet and nobody 794 00:40:02,680 --> 00:40:05,560 Speaker 1: would even think that you were committing a crime or anything. 795 00:40:05,640 --> 00:40:08,839 Speaker 2: So well, I think I think it depends where you 796 00:40:08,920 --> 00:40:12,520 Speaker 2: live who considers that to be a problem. But I 797 00:40:12,800 --> 00:40:15,080 Speaker 2: think just in a lot of these cases, it's like 798 00:40:15,200 --> 00:40:17,080 Speaker 2: people don't know what to do with it. I feel 799 00:40:17,080 --> 00:40:19,239 Speaker 2: like in the past, we've had people even right back 800 00:40:19,280 --> 00:40:21,080 Speaker 2: to us that they had a miscarriage at their house 801 00:40:21,120 --> 00:40:24,920 Speaker 2: and they keep the fetus in like their freezer, and 802 00:40:24,960 --> 00:40:29,120 Speaker 2: it's like this way of mourning. I mean, obviously that's 803 00:40:29,120 --> 00:40:32,000 Speaker 2: really intense for some people, but like some people need 804 00:40:32,040 --> 00:40:35,160 Speaker 2: that to grieve and to heal. So I don't know, 805 00:40:35,160 --> 00:40:38,080 Speaker 2: because like I don't know what I would do in 806 00:40:38,120 --> 00:40:41,840 Speaker 2: that case of like preserving it if I didn't keep it, 807 00:40:41,880 --> 00:40:44,320 Speaker 2: because like I don't think i'd want the reminder constantly. 808 00:40:44,400 --> 00:40:46,799 Speaker 2: But I understand why people would do it if they 809 00:40:46,840 --> 00:40:50,400 Speaker 2: need that to mourn. It's difficult. It's yeah, you can, 810 00:40:50,600 --> 00:40:51,480 Speaker 2: you can too. 811 00:40:52,080 --> 00:40:55,440 Speaker 1: Sometimes people bring fetal remains to the funeral home to 812 00:40:55,480 --> 00:40:58,560 Speaker 1: have a burial and everything. I mean, it just depends 813 00:40:58,560 --> 00:41:02,200 Speaker 1: on what people want to do in that situation. So 814 00:41:03,080 --> 00:41:06,160 Speaker 1: I mean again, like, hopefully we hear more about this 815 00:41:06,320 --> 00:41:08,799 Speaker 1: and they tell us like, Okay, it came from here 816 00:41:08,880 --> 00:41:12,680 Speaker 1: or whatever. They can depending on if if it wasn't 817 00:41:12,719 --> 00:41:16,319 Speaker 1: that decomposed or whatever, they could possibly do DNA on 818 00:41:16,400 --> 00:41:18,359 Speaker 1: it and try to figure out who the parents are. 819 00:41:20,280 --> 00:41:24,000 Speaker 1: I don't know, crazy story. I just can't imagine looking 820 00:41:24,040 --> 00:41:26,840 Speaker 1: at that. Well, you know, one time, this makes me 821 00:41:26,880 --> 00:41:29,759 Speaker 1: think of something. So one time I was in surgical 822 00:41:29,800 --> 00:41:32,799 Speaker 1: pathology and someone had a miscarriage. And I would say 823 00:41:32,840 --> 00:41:34,759 Speaker 1: it wasn't sixteen weeks, but I'd say it's more like 824 00:41:34,800 --> 00:41:38,160 Speaker 1: thirteen or fourteen weeks. Someone had a miscarriage and we 825 00:41:38,360 --> 00:41:42,200 Speaker 1: got a specimen that looked like it was pulled out 826 00:41:42,200 --> 00:41:44,839 Speaker 1: of the trash and it was literally a Rita's water 827 00:41:44,920 --> 00:41:49,560 Speaker 1: ice bag with pops you know, the you know the 828 00:41:49,600 --> 00:41:52,520 Speaker 1: popsicles that you buy at the store or the yeah, 829 00:41:52,520 --> 00:41:54,200 Speaker 1: the popsicles you buy at the store that are like 830 00:41:54,280 --> 00:41:56,719 Speaker 1: liquid and you put the box in the freezer and 831 00:41:56,719 --> 00:42:01,720 Speaker 1: they freeze, and two of those empty wraps like stuck together, 832 00:42:01,920 --> 00:42:04,600 Speaker 1: and there was a dead fetus stuck to all of 833 00:42:04,600 --> 00:42:08,319 Speaker 1: that stuff. Like someone threw it in the trash. And 834 00:42:08,400 --> 00:42:11,759 Speaker 1: I don't remember if it was the woman that had 835 00:42:11,800 --> 00:42:13,960 Speaker 1: the miscarriage drew it in the trash and then decided 836 00:42:13,960 --> 00:42:16,160 Speaker 1: to bring it into the hospital or whatever, But all 837 00:42:16,200 --> 00:42:17,920 Speaker 1: I know is I got a big pile of trash 838 00:42:17,960 --> 00:42:22,160 Speaker 1: with a dead feet as stuck to it. So what 839 00:42:22,239 --> 00:42:24,799 Speaker 1: possibly happened in that case is that like you have 840 00:42:24,880 --> 00:42:27,480 Speaker 1: the miscarriage and you're just like so trying because it 841 00:42:27,520 --> 00:42:30,520 Speaker 1: could be traumatizing to see that obviously, and just not 842 00:42:30,640 --> 00:42:33,879 Speaker 1: really knowing what to do and then maybe like calming down, 843 00:42:34,000 --> 00:42:36,040 Speaker 1: calling the doctor them telling you maybe to bring it 844 00:42:36,040 --> 00:42:37,200 Speaker 1: into the hospital or something. 845 00:42:37,239 --> 00:42:41,719 Speaker 2: But it was brought into us like that. Yeah, I 846 00:42:41,800 --> 00:42:44,520 Speaker 2: just think in most of these cases, people don't know 847 00:42:44,560 --> 00:42:46,040 Speaker 2: what to do. And I think there's a lot of 848 00:42:46,080 --> 00:42:49,600 Speaker 2: situations where people do get pregnant or they don't know 849 00:42:49,680 --> 00:42:51,960 Speaker 2: they're pregnant, and then something like this happens and they 850 00:42:52,000 --> 00:42:53,839 Speaker 2: freak out and they don't know what to do with it. 851 00:42:54,760 --> 00:42:57,640 Speaker 2: So I think that would more so explain what happened. 852 00:42:58,400 --> 00:43:01,320 Speaker 2: All right, our last story talk about medical schools that 853 00:43:01,360 --> 00:43:04,000 Speaker 2: are planning to stop using kidavers. How do you feel 854 00:43:04,000 --> 00:43:07,879 Speaker 2: about this? Obviously, I think it's a terrible idea. It's 855 00:43:07,920 --> 00:43:13,480 Speaker 2: interesting because recently I did an autopsy and there was 856 00:43:13,520 --> 00:43:18,719 Speaker 2: a medical student there. This was probably like more last year. 857 00:43:19,320 --> 00:43:22,239 Speaker 2: There was a medical student there that was seeing his 858 00:43:22,480 --> 00:43:25,960 Speaker 2: first autopsy and he looked like he was going to faint. 859 00:43:26,160 --> 00:43:28,680 Speaker 2: The people have a very certain look to them when 860 00:43:28,719 --> 00:43:31,919 Speaker 2: they're about to just like go down right I've seen 861 00:43:31,960 --> 00:43:33,680 Speaker 2: it a lot of times. You've seen it with me. 862 00:43:33,760 --> 00:43:37,000 Speaker 2: This guy's like white as a ghost. 863 00:43:36,760 --> 00:43:38,520 Speaker 1: And I'm looking at him and I'm kind of and 864 00:43:38,719 --> 00:43:41,919 Speaker 1: and at this point, I don't usually see it from 865 00:43:42,120 --> 00:43:45,400 Speaker 1: medical students or even medical because I don't know if 866 00:43:45,440 --> 00:43:47,440 Speaker 1: he was a medical student or resident. But he was 867 00:43:47,520 --> 00:43:51,360 Speaker 1: like like towards the end of stuff that he was doing. 868 00:43:51,400 --> 00:43:55,359 Speaker 1: So usually when you see people have that reaction, it's 869 00:43:55,400 --> 00:43:58,799 Speaker 1: somebody that's seeing this stuff for the first time. And 870 00:43:58,920 --> 00:44:01,720 Speaker 1: you don't expect to see that in people who are. 871 00:44:03,480 --> 00:44:04,839 Speaker 2: Through their medical school and. 872 00:44:04,800 --> 00:44:08,120 Speaker 1: Through their residency, because obviously they've seen a lot of it. 873 00:44:09,640 --> 00:44:12,759 Speaker 1: And I said, like, what's going on, and he's just like, 874 00:44:12,800 --> 00:44:14,200 Speaker 1: this is just it's just a lot. 875 00:44:14,239 --> 00:44:14,719 Speaker 2: It's a lot. 876 00:44:14,760 --> 00:44:16,840 Speaker 1: And I was like, oh, is this your first autopsy 877 00:44:16,880 --> 00:44:20,479 Speaker 1: and he's like he's like, yeah, well I've never seen 878 00:44:20,520 --> 00:44:22,719 Speaker 1: a dead body before, so it's just a lot for 879 00:44:22,800 --> 00:44:25,840 Speaker 1: me to handle. And I was like what And he 880 00:44:25,920 --> 00:44:30,040 Speaker 1: said he went to medical school school during COVID and 881 00:44:30,080 --> 00:44:33,440 Speaker 1: they just didn't have gross anatomy lab because it was 882 00:44:33,520 --> 00:44:37,640 Speaker 1: shut down because of COVID, right, And I'm just like, so, 883 00:44:37,760 --> 00:44:39,959 Speaker 1: you went through all of medical school and you didn't 884 00:44:40,000 --> 00:44:43,160 Speaker 1: dissect a body. And he was like no, and my 885 00:44:43,600 --> 00:44:45,680 Speaker 1: mind is like blown. I'm like you, you're like a 886 00:44:45,719 --> 00:44:47,799 Speaker 1: fake doctor. You can't even be a doctor right now. 887 00:44:47,840 --> 00:44:50,960 Speaker 1: How could you do that without even it's like it 888 00:44:51,400 --> 00:44:53,440 Speaker 1: just should be like against the wall or something. 889 00:44:53,440 --> 00:44:56,960 Speaker 2: You know. To me, that's something you can't really get over. 890 00:44:57,360 --> 00:45:00,360 Speaker 2: As a person that gets really squeamish with stuff like that, 891 00:45:01,160 --> 00:45:04,120 Speaker 2: I think like it would be really hard for me 892 00:45:04,239 --> 00:45:07,440 Speaker 2: to get over something like that, like even with a 893 00:45:07,480 --> 00:45:10,000 Speaker 2: bunch of exposure therapy and everything. And to think this 894 00:45:10,040 --> 00:45:13,080 Speaker 2: person that's been in bed school for ten years and. 895 00:45:13,200 --> 00:45:15,680 Speaker 1: No, they're not in med school for ten years by 896 00:45:15,719 --> 00:45:18,440 Speaker 1: any stretch of the imagination, but they're in med school 897 00:45:18,480 --> 00:45:20,520 Speaker 1: for four years and he was towards the end of 898 00:45:20,560 --> 00:45:22,360 Speaker 1: it or a resident already. 899 00:45:22,400 --> 00:45:24,600 Speaker 2: So regardless, like, if. 900 00:45:24,480 --> 00:45:26,520 Speaker 1: You're going to be graduating and you're going to be 901 00:45:26,560 --> 00:45:29,720 Speaker 1: a doctor that's taking care of patients, like you can't 902 00:45:29,760 --> 00:45:30,439 Speaker 1: have that thing. 903 00:45:30,560 --> 00:45:33,680 Speaker 2: You just can't. It's literally impossible. I'm saying, there you 904 00:45:33,880 --> 00:45:37,960 Speaker 2: getting over it, Yeah, but I don't want to say 905 00:45:37,960 --> 00:45:41,440 Speaker 2: that because there are people there is getting over it. 906 00:45:41,480 --> 00:45:43,520 Speaker 2: I think that the first. 907 00:45:43,280 --> 00:45:46,480 Speaker 1: Time that you see a dead body in your entire life, 908 00:45:46,520 --> 00:45:49,120 Speaker 1: because you have to think, like medical students are young kids. 909 00:45:49,160 --> 00:45:53,040 Speaker 1: Sometimes they're like in their early twenties, right, they might 910 00:45:53,080 --> 00:45:55,319 Speaker 1: not even have been to a funeral before. This is 911 00:45:55,400 --> 00:45:57,799 Speaker 1: literally the first time they're seeing a dead person, to 912 00:45:57,880 --> 00:46:01,440 Speaker 1: see an autopsy, as that first experience is, it is 913 00:46:01,480 --> 00:46:04,600 Speaker 1: a lot because it's so gruesome and it's just a 914 00:46:04,640 --> 00:46:05,640 Speaker 1: lot to process. 915 00:46:06,200 --> 00:46:07,320 Speaker 2: I've seen lots. 916 00:46:07,080 --> 00:46:10,040 Speaker 1: Of people that kind of are like weird, including I 917 00:46:10,080 --> 00:46:12,960 Speaker 1: even think including myself, Like I feel like I played 918 00:46:12,960 --> 00:46:15,600 Speaker 1: it off kind of cool, but the very first time 919 00:46:15,640 --> 00:46:18,320 Speaker 1: I saw it, I was just like, how is everyone 920 00:46:18,400 --> 00:46:20,359 Speaker 1: in this room just totally cool that there's like a 921 00:46:20,400 --> 00:46:23,040 Speaker 1: dead person gutted laying here right now and everybody's like 922 00:46:23,080 --> 00:46:24,680 Speaker 1: talking about what they're going to eat for lunch. Like 923 00:46:24,719 --> 00:46:28,680 Speaker 1: it's a very weird thing to experience and get used to. 924 00:46:29,239 --> 00:46:32,080 Speaker 1: And I think people can. I don't think people like 925 00:46:32,320 --> 00:46:35,280 Speaker 1: you can, but there are people that just are shocked 926 00:46:35,280 --> 00:46:38,120 Speaker 1: initially just because of what it is. But that's why 927 00:46:38,160 --> 00:46:42,360 Speaker 1: I think that it's it's so ridiculous that that's part 928 00:46:42,400 --> 00:46:44,960 Speaker 1: of the whole point of the cadaver situation, is that 929 00:46:45,000 --> 00:46:47,680 Speaker 1: you could just get comfortable around a dead body because 930 00:46:48,120 --> 00:46:51,160 Speaker 1: if you're a physician. In most fields, you're going to 931 00:46:51,160 --> 00:46:54,240 Speaker 1: come across that at some point or definitely during your training. 932 00:46:54,800 --> 00:46:57,399 Speaker 1: Even if you're a dermatologist, you're going to see things 933 00:46:57,400 --> 00:47:00,880 Speaker 1: that are disturbing, you know, like any dimatologists. 934 00:47:00,040 --> 00:47:02,520 Speaker 2: I think see some of the most deserving things. But 935 00:47:03,000 --> 00:47:05,200 Speaker 2: I think even when you're touring a school and you're 936 00:47:05,239 --> 00:47:07,680 Speaker 2: considering it, they should expose you to that if it's 937 00:47:07,719 --> 00:47:10,200 Speaker 2: part of the major you're looking to go to. Because 938 00:47:10,239 --> 00:47:12,120 Speaker 2: I remember when I was sixteen and we went to 939 00:47:12,239 --> 00:47:14,920 Speaker 2: University of the Science Is to look at the pharmacy program, 940 00:47:15,120 --> 00:47:17,359 Speaker 2: and I was really into the chemistry component of it. 941 00:47:17,520 --> 00:47:19,040 Speaker 2: And as soon as they brought us in that little 942 00:47:19,120 --> 00:47:21,719 Speaker 2: room and they're like, this is where we practice giving injections, 943 00:47:21,760 --> 00:47:23,680 Speaker 2: I was like, I'm good, I'm out. I don't want 944 00:47:23,719 --> 00:47:27,440 Speaker 2: to do this, which is absolutely ridiculous, but I know 945 00:47:27,560 --> 00:47:30,000 Speaker 2: this about myself, and then I didn't waste all this 946 00:47:30,120 --> 00:47:32,719 Speaker 2: money going to school for something that I can't get over. 947 00:47:32,920 --> 00:47:35,080 Speaker 2: So yeah, and it's crazy that. 948 00:47:35,560 --> 00:47:37,239 Speaker 1: We had that with one of the girls in my 949 00:47:37,360 --> 00:47:42,480 Speaker 1: PA class too, honestly, that she just like whatever. Anyway, 950 00:47:44,120 --> 00:47:47,560 Speaker 1: the whole point is, though they have all I know 951 00:47:47,640 --> 00:47:50,200 Speaker 1: that they have like all this awesome technology they have, 952 00:47:50,360 --> 00:47:56,120 Speaker 1: like three D visualization and augmented reality and all that 953 00:47:56,239 --> 00:48:00,200 Speaker 1: kind of stuff, but it's just not ever going to 954 00:48:00,280 --> 00:48:02,840 Speaker 1: be the same as sticking your hands in a body 955 00:48:03,000 --> 00:48:07,360 Speaker 1: and just seeing. One of the things with cadavers is 956 00:48:07,400 --> 00:48:09,319 Speaker 1: you could have five in front of you and all 957 00:48:09,360 --> 00:48:13,080 Speaker 1: other anatomy looks kind of different because of anatomic variation, 958 00:48:13,400 --> 00:48:16,120 Speaker 1: and it's just not something you're going to get from 959 00:48:16,160 --> 00:48:18,279 Speaker 1: a computer thing. You're not going to be able to 960 00:48:18,280 --> 00:48:21,880 Speaker 1: touch and feel what it feels like. And like I understand, 961 00:48:21,920 --> 00:48:25,880 Speaker 1: some fields of medicine are a little bit more like 962 00:48:27,239 --> 00:48:30,920 Speaker 1: family medicine or something like that, that you're not really like, 963 00:48:31,000 --> 00:48:33,680 Speaker 1: you're not doing surgery, You're not going to have your 964 00:48:33,719 --> 00:48:38,319 Speaker 1: hands inside of somebody like that, especially pathology or dermatology 965 00:48:38,480 --> 00:48:41,719 Speaker 1: like things that you're going to actually need to like 966 00:48:42,040 --> 00:48:43,480 Speaker 1: touch and feel to see what. 967 00:48:43,520 --> 00:48:44,200 Speaker 2: Things are like. 968 00:48:44,400 --> 00:48:48,439 Speaker 1: But I still think that it's I think that it's 969 00:48:48,520 --> 00:48:52,960 Speaker 1: just a terrible idea because ultimately every one of these 970 00:48:53,000 --> 00:48:55,399 Speaker 1: people that are graduating are going to have to work 971 00:48:55,440 --> 00:48:58,240 Speaker 1: on a real person and that's really the only way 972 00:48:58,320 --> 00:49:00,239 Speaker 1: you're going to be able to do it and to 973 00:49:00,280 --> 00:49:02,640 Speaker 1: see a lot of it. I've already been kind of 974 00:49:02,680 --> 00:49:07,000 Speaker 1: against how much work they've been taking off of some 975 00:49:07,040 --> 00:49:10,920 Speaker 1: of the residents in pathology, especially because just the you 976 00:49:11,120 --> 00:49:13,600 Speaker 1: just get better the more you see. It's just like 977 00:49:14,560 --> 00:49:17,719 Speaker 1: Bryce Harper gets better at baseball because he plays. He 978 00:49:17,880 --> 00:49:20,480 Speaker 1: practices and practices and practices. It's just like it's the 979 00:49:20,520 --> 00:49:23,719 Speaker 1: same as acting with medicine. You just get better the 980 00:49:23,760 --> 00:49:25,799 Speaker 1: more that you see. And the only way that you're 981 00:49:25,840 --> 00:49:30,240 Speaker 1: going to see like real life is because like these 982 00:49:30,280 --> 00:49:33,400 Speaker 1: programs are just like AI. They're not always right, you 983 00:49:33,480 --> 00:49:35,279 Speaker 1: know what I mean, They are not always giving you 984 00:49:36,280 --> 00:49:39,719 Speaker 1: what you would see, and it just it just is 985 00:49:39,840 --> 00:49:42,200 Speaker 1: terrible for your critical thinking skills and all that. So, 986 00:49:42,760 --> 00:49:46,520 Speaker 1: I mean, there's concerns with the kidavers, and I understand 987 00:49:46,560 --> 00:49:50,279 Speaker 1: that because because of the shadiness that goes along with 988 00:49:50,320 --> 00:49:54,200 Speaker 1: that whole entire field, and I guess that's why they're 989 00:49:54,239 --> 00:49:57,160 Speaker 1: going away from it more. I don't know if it's 990 00:49:57,200 --> 00:50:00,520 Speaker 1: more because of that or because of just the money 991 00:50:00,520 --> 00:50:02,880 Speaker 1: that it costs for it. I mean, you have to 992 00:50:02,880 --> 00:50:05,440 Speaker 1: have special labs for cadavers, you have to have employees 993 00:50:05,480 --> 00:50:08,560 Speaker 1: that take care of the cadavers, because you can't they'll 994 00:50:08,640 --> 00:50:10,959 Speaker 1: dry out and they'll get all gross and moldy and stuff, 995 00:50:11,000 --> 00:50:12,520 Speaker 1: so there has to be people that know how to 996 00:50:12,560 --> 00:50:17,359 Speaker 1: take care of them. And you know, it's not very 997 00:50:17,600 --> 00:50:20,840 Speaker 1: regulated a lot like from when you donate your body 998 00:50:20,840 --> 00:50:23,759 Speaker 1: to science, it's pretty regulated, but then once people get 999 00:50:23,800 --> 00:50:26,759 Speaker 1: the body, it's not as regulated. And I think our 1000 00:50:26,800 --> 00:50:31,120 Speaker 1: body was like five thousand dollars for PA school and 1001 00:50:31,160 --> 00:50:33,120 Speaker 1: we shared it and it was awesome. It's just like 1002 00:50:33,239 --> 00:50:36,200 Speaker 1: it's just something I don't know. I personally think there's 1003 00:50:36,239 --> 00:50:40,799 Speaker 1: just something that you have to do. But whatever, I 1004 00:50:40,800 --> 00:50:43,719 Speaker 1: guess that will be. We'll see what happens with that. 1005 00:50:44,719 --> 00:50:46,600 Speaker 2: All right, Let's move on to Questions of the Day. 1006 00:50:46,640 --> 00:50:49,200 Speaker 2: Every Friday at the at mother nos Death Instagram account, 1007 00:50:49,239 --> 00:50:51,000 Speaker 2: you guys could head over to our story and ask 1008 00:50:51,080 --> 00:50:54,680 Speaker 2: us whatever you want. First. On a recent episode, you 1009 00:50:54,719 --> 00:50:57,440 Speaker 2: said that you believe vitamins and supplements are a scam. 1010 00:50:57,800 --> 00:51:00,279 Speaker 2: What do you think about all the recommended vitamin for 1011 00:51:00,400 --> 00:51:04,839 Speaker 2: bariatric surgery patients? Well, I don't know if I act 1012 00:51:05,120 --> 00:51:07,880 Speaker 2: like if I think that they're a scam one hundred percent, 1013 00:51:07,960 --> 00:51:11,200 Speaker 2: like I think they definitely have a place for some people. 1014 00:51:12,920 --> 00:51:16,520 Speaker 2: And I told you guys, like my little one has 1015 00:51:16,920 --> 00:51:19,520 Speaker 2: had to get some treatment for she had to get 1016 00:51:19,560 --> 00:51:24,640 Speaker 2: some infusion for her bone issue, and the first time 1017 00:51:24,680 --> 00:51:27,560 Speaker 2: she got it done, she was supposed to do so 1018 00:51:27,600 --> 00:51:29,759 Speaker 2: she's supposed to take thumb's which would be like a 1019 00:51:29,760 --> 00:51:32,200 Speaker 2: calcium supplement for a couple of weeks before she gets 1020 00:51:32,239 --> 00:51:35,239 Speaker 2: it done. And here I was giving them to her 1021 00:51:35,320 --> 00:51:37,920 Speaker 2: every day and she was hiding them, and I found 1022 00:51:37,920 --> 00:51:39,840 Speaker 2: like a pile of film in her room after she 1023 00:51:39,880 --> 00:51:43,080 Speaker 2: got it done. But when she got the infusion of 1024 00:51:43,080 --> 00:51:45,480 Speaker 2: this medication, she was in so much pain in her 1025 00:51:45,520 --> 00:51:47,800 Speaker 2: bones and I couldn't figure out why. And the doctor 1026 00:51:47,920 --> 00:51:50,320 Speaker 2: was like, well, did she take to calcium And I said, yeah, 1027 00:51:50,360 --> 00:51:52,040 Speaker 2: she did, I don't know, But then I found all 1028 00:51:52,080 --> 00:51:55,720 Speaker 2: of them that she didn't take. So the second time around, 1029 00:51:55,760 --> 00:51:58,000 Speaker 2: I was like, Okay, obviously I have to sit here 1030 00:51:58,040 --> 00:52:00,879 Speaker 2: and like watch her chew every one of these and 1031 00:52:00,960 --> 00:52:03,759 Speaker 2: she did, and then when she got the treatment, it 1032 00:52:03,880 --> 00:52:06,680 Speaker 2: was like it was like she didn't have any issues 1033 00:52:06,719 --> 00:52:09,640 Speaker 2: at all. So like that calcium supplement worked for her 1034 00:52:09,680 --> 00:52:14,040 Speaker 2: in that specific instance. And I just think a lot 1035 00:52:14,080 --> 00:52:18,480 Speaker 2: of times, like when you're watching TikTok or Instagram or 1036 00:52:18,480 --> 00:52:20,640 Speaker 2: something and all these people are like, oh, you have 1037 00:52:20,680 --> 00:52:23,200 Speaker 2: to take magnesium for this and you have to take 1038 00:52:23,600 --> 00:52:29,520 Speaker 2: like what are some examples Because of my like perimanopausal symptoms, 1039 00:52:29,560 --> 00:52:31,800 Speaker 2: there was like all these supplements I took and stuff, 1040 00:52:31,840 --> 00:52:33,600 Speaker 2: and I was just kind of like, Okay, this didn't 1041 00:52:33,600 --> 00:52:35,680 Speaker 2: do anything. I took them for months and like I 1042 00:52:35,719 --> 00:52:38,600 Speaker 2: stopped taking them, and it like a lot of it's 1043 00:52:38,600 --> 00:52:43,000 Speaker 2: a scam, honestly. But if your doctor is recommending that 1044 00:52:43,080 --> 00:52:46,000 Speaker 2: you take them prior to bariatric surgery, I think you 1045 00:52:46,040 --> 00:52:49,719 Speaker 2: should because usually prior to getting that surgery, you go 1046 00:52:49,880 --> 00:52:52,920 Speaker 2: on a fasting type diet that might leave you a 1047 00:52:52,960 --> 00:52:56,319 Speaker 2: little bit your nutrients a little bit lower than they 1048 00:52:56,320 --> 00:52:59,759 Speaker 2: would be if you were eating regular food, and they 1049 00:52:59,800 --> 00:53:02,520 Speaker 2: want to make sure that your your vitamins and are 1050 00:53:02,760 --> 00:53:06,120 Speaker 2: healthy when they do the surgery. So I think they 1051 00:53:06,160 --> 00:53:11,040 Speaker 2: definitely have a purpose, But you know, I just think 1052 00:53:11,040 --> 00:53:14,520 Speaker 2: that sometimes it's a scam. All of these companies that 1053 00:53:14,640 --> 00:53:18,279 Speaker 2: sell My husband, honestly, he's famous for it. He's like 1054 00:53:18,520 --> 00:53:20,880 Speaker 2: taken this Gommy and this gummy, and I'm just like 1055 00:53:21,560 --> 00:53:23,319 Speaker 2: I should just go in the bathroom right down and 1056 00:53:23,360 --> 00:53:25,759 Speaker 2: count how much money he spends a month on some 1057 00:53:25,840 --> 00:53:29,080 Speaker 2: of these things, like this is this beat one, and 1058 00:53:29,120 --> 00:53:31,799 Speaker 2: this is this this greens one, and all this, and 1059 00:53:31,840 --> 00:53:33,800 Speaker 2: I'm just kind of like, is this really doing anything 1060 00:53:33,840 --> 00:53:37,120 Speaker 2: for you? I don't really know. I'm surprised Lubert didn't 1061 00:53:37,120 --> 00:53:39,520 Speaker 2: want to take the thumbs because of all things you 1062 00:53:39,520 --> 00:53:42,440 Speaker 2: could take, they taste kind of like candy, so so 1063 00:53:42,800 --> 00:53:45,359 Speaker 2: she wasn't. I don't I agree. 1064 00:53:45,840 --> 00:53:48,719 Speaker 1: I think that they taste like sweet tarts kind of 1065 00:53:48,800 --> 00:53:51,560 Speaker 1: or something. They're just like one of those kinds of candies. 1066 00:53:52,760 --> 00:53:55,520 Speaker 1: So she figured out I bought her like after that, 1067 00:53:55,600 --> 00:53:57,919 Speaker 1: like all the different flavors, and then she fingured out 1068 00:53:58,000 --> 00:53:59,600 Speaker 1: that she liked the Pina colada ones. 1069 00:53:59,680 --> 00:54:02,280 Speaker 2: So now like she takes them without a problem. 1070 00:54:03,000 --> 00:54:05,520 Speaker 1: It just was I don't even know if she was 1071 00:54:05,560 --> 00:54:07,440 Speaker 1: not taking it. I feel like she was just taking 1072 00:54:07,440 --> 00:54:09,960 Speaker 1: it to be like I'm not taking it because you 1073 00:54:10,000 --> 00:54:12,640 Speaker 1: said I should or whatever. But but then she learned 1074 00:54:12,680 --> 00:54:15,359 Speaker 1: her lesson. Oh she learned her lesson. And I'm like 1075 00:54:15,480 --> 00:54:18,279 Speaker 1: all like naive because I think, oh, I've been doing 1076 00:54:18,320 --> 00:54:19,360 Speaker 1: the right thing the whole time. 1077 00:54:19,600 --> 00:54:20,760 Speaker 2: I mean, she was nine. 1078 00:54:20,800 --> 00:54:24,080 Speaker 1: I feel like maybe she's kind of at the younger 1079 00:54:24,120 --> 00:54:27,319 Speaker 1: age to like trust that she was doing it. I 1080 00:54:27,400 --> 00:54:29,680 Speaker 1: just I didn't even think a kid would ever argue 1081 00:54:29,680 --> 00:54:31,200 Speaker 1: about taking Tom's honestly. 1082 00:54:32,239 --> 00:54:35,759 Speaker 2: All right. Next, tips for getting accepted into a competitive 1083 00:54:35,840 --> 00:54:39,000 Speaker 2: PA program. 1084 00:54:39,440 --> 00:54:41,520 Speaker 1: I think that you have to have some kind of 1085 00:54:41,760 --> 00:54:45,520 Speaker 1: experience usually that sticks out. Of course, it's really hard 1086 00:54:45,600 --> 00:54:49,080 Speaker 1: right now, Like if you walk in and you're like, oh, well, hi, 1087 00:54:49,200 --> 00:54:52,840 Speaker 1: I volunteered at the Medical Examiner's office for a summer, like, 1088 00:54:52,920 --> 00:54:54,720 Speaker 1: obviously that's going to put you ahead. 1089 00:54:55,520 --> 00:54:56,640 Speaker 2: But I don't know if. 1090 00:54:56,480 --> 00:54:58,520 Speaker 1: You could do that stuff anymore, because I'm hearing more 1091 00:54:58,560 --> 00:55:01,680 Speaker 1: and more that people aren't letting people in turn like that. 1092 00:55:03,440 --> 00:55:06,279 Speaker 1: So but I'm sure there's some places that still do that. 1093 00:55:07,120 --> 00:55:10,960 Speaker 1: Just any kind of experience you can get that makes 1094 00:55:11,000 --> 00:55:14,080 Speaker 1: them know that you kind of understand what the field 1095 00:55:14,160 --> 00:55:15,719 Speaker 1: is and you know for sure you want to do 1096 00:55:15,800 --> 00:55:17,000 Speaker 1: this and you're ready to do this. 1097 00:55:17,239 --> 00:55:21,359 Speaker 2: That's all I could say. All right. The last one's 1098 00:55:21,400 --> 00:55:23,839 Speaker 2: for me. Was there ever a time growing up where 1099 00:55:23,840 --> 00:55:25,960 Speaker 2: you didn't want to look or style like your mom? 1100 00:55:26,480 --> 00:55:26,680 Speaker 1: Wasn't. 1101 00:55:26,680 --> 00:55:28,600 Speaker 2: I just talking to the kids about this in the 1102 00:55:28,640 --> 00:55:31,040 Speaker 2: car because they said something about a haircut, and I said, 1103 00:55:31,040 --> 00:55:35,520 Speaker 2: at least you didn't have to have matching haircuts with mommy. Yeah, 1104 00:55:35,520 --> 00:55:39,200 Speaker 2: but that's when you were like five, so we used 1105 00:55:39,239 --> 00:55:41,359 Speaker 2: to have matching haircuts. When I was a little kid, 1106 00:55:41,360 --> 00:55:44,080 Speaker 2: which was crazy because it was like the late nineties, 1107 00:55:44,120 --> 00:55:46,440 Speaker 2: early two thousands, So it was either like a pixie 1108 00:55:46,480 --> 00:55:48,879 Speaker 2: cut or that really short, like flared out what would 1109 00:55:48,920 --> 00:55:52,160 Speaker 2: you even call that? Look? They're really short but flared 1110 00:55:52,200 --> 00:55:53,480 Speaker 2: out at the bottom. 1111 00:55:54,560 --> 00:55:56,920 Speaker 1: Oh, just like it's kind of like retro, like a 1112 00:55:56,960 --> 00:55:59,920 Speaker 1: flip like bob, Like a bob that's flipped out. 1113 00:56:00,040 --> 00:56:03,719 Speaker 2: I guess, yeah, but it was like really short. Yeah, 1114 00:56:03,800 --> 00:56:06,239 Speaker 2: I don't. I don't know what it's called anyway. I mean, 1115 00:56:06,440 --> 00:56:10,680 Speaker 2: I think we have similar styles naturally, but also very different. 1116 00:56:10,800 --> 00:56:13,600 Speaker 2: You typically like to lean into like the lacy, more 1117 00:56:13,680 --> 00:56:18,560 Speaker 2: victorian lady look, and I wear like more grandma crochet 1118 00:56:18,760 --> 00:56:21,680 Speaker 2: knit type of things. I wear a lot of different colors. 1119 00:56:21,760 --> 00:56:24,719 Speaker 2: You definitely don't. You have a very specific color palette. 1120 00:56:25,040 --> 00:56:27,319 Speaker 2: I try to stick to the color palette and that's 1121 00:56:27,400 --> 00:56:31,040 Speaker 2: the background for the show, But in everyday life, I 1122 00:56:31,080 --> 00:56:37,319 Speaker 2: wear oranges, green, green, and ore, the ugliest colors ever. 1123 00:56:37,640 --> 00:56:37,920 Speaker 1: For you. 1124 00:56:38,040 --> 00:56:39,000 Speaker 2: Oh, it's fun. 1125 00:56:39,120 --> 00:56:43,080 Speaker 1: It's funny because the kids, like obviously, when you have kids, 1126 00:56:43,160 --> 00:56:46,440 Speaker 1: you dress your kids how you how you what you like. 1127 00:56:46,560 --> 00:56:49,560 Speaker 1: So I always dress the kids in like like when 1128 00:56:49,560 --> 00:56:52,719 Speaker 1: they were younger, like skinny jeans and Doc Martins and 1129 00:56:52,880 --> 00:56:53,719 Speaker 1: T shirt. 1130 00:56:53,480 --> 00:56:54,439 Speaker 2: You know, stuff like that. 1131 00:56:54,880 --> 00:56:58,680 Speaker 1: And as they're getting older, like I don't ever put 1132 00:56:58,760 --> 00:57:01,640 Speaker 1: my opinion as far as that goes too strong on 1133 00:57:01,760 --> 00:57:03,680 Speaker 1: because I hate the way that they dress now. 1134 00:57:03,760 --> 00:57:04,719 Speaker 2: It's just they're just. 1135 00:57:04,680 --> 00:57:08,560 Speaker 1: Like very trendy with the ugs and the crocs and 1136 00:57:08,640 --> 00:57:11,880 Speaker 1: the this, and you know, like they always have this 1137 00:57:12,040 --> 00:57:15,440 Speaker 1: like certain style stuff that I'm kind of like, okay, whatever, 1138 00:57:15,600 --> 00:57:18,240 Speaker 1: and it's not one hundred percent what I would choose 1139 00:57:18,240 --> 00:57:22,600 Speaker 1: as being like cool, but like what what one thing 1140 00:57:22,640 --> 00:57:25,480 Speaker 1: that really bummed me out was when like Lillian always 1141 00:57:25,560 --> 00:57:27,800 Speaker 1: had the coolest hair ever. She had like that like 1142 00:57:27,920 --> 00:57:32,240 Speaker 1: side the side shaved on her head and the long hair, 1143 00:57:32,240 --> 00:57:34,440 Speaker 1: and she has really good hair. Both my kids actually 1144 00:57:34,440 --> 00:57:39,919 Speaker 1: have really good hair. Not Maria, well, no, I Maria has. Yeah, 1145 00:57:39,960 --> 00:57:40,600 Speaker 1: she got my heart. 1146 00:57:40,760 --> 00:57:44,000 Speaker 2: My hair's good now because I figured out like the 1147 00:57:44,040 --> 00:57:48,680 Speaker 2: perfect shampoo product thing with the bright tool. But before 1148 00:57:48,760 --> 00:57:51,240 Speaker 2: it was like crazy you were You're just like blessed 1149 00:57:51,240 --> 00:57:52,240 Speaker 2: with my terrible hair. 1150 00:57:52,600 --> 00:57:59,360 Speaker 1: But anyway, yeah, so Lilian, uh, Lilian recently, like I 1151 00:57:59,400 --> 00:58:02,200 Speaker 1: guess it was last year or two years ago, decided 1152 00:58:02,240 --> 00:58:04,439 Speaker 1: that she was going to start growing the shaved side 1153 00:58:04,480 --> 00:58:07,680 Speaker 1: out and I was just like no, Like I was 1154 00:58:07,760 --> 00:58:10,160 Speaker 1: really just like didn't want her to do it. And 1155 00:58:10,200 --> 00:58:12,439 Speaker 1: I was like, everybody thinks your hair is so cute, 1156 00:58:12,480 --> 00:58:14,200 Speaker 1: and I love your hair and it's so cute. But 1157 00:58:14,240 --> 00:58:16,760 Speaker 1: she was just like, yeah, but I want I want 1158 00:58:16,800 --> 00:58:20,480 Speaker 1: something different. So now it's just like basic whatever. 1159 00:58:21,240 --> 00:58:21,880 Speaker 2: She likes it. 1160 00:58:21,960 --> 00:58:23,800 Speaker 1: So I'm kind of like, Okay, I try to help 1161 00:58:23,800 --> 00:58:26,400 Speaker 1: her do it and stuff, but a part of me 1162 00:58:26,560 --> 00:58:27,280 Speaker 1: died that day. 1163 00:58:27,880 --> 00:58:31,120 Speaker 2: Oh my god, you're ridiculous. No, I mean I don't 1164 00:58:31,160 --> 00:58:34,600 Speaker 2: know it today. It's like, you know, I try to 1165 00:58:34,680 --> 00:58:37,520 Speaker 2: be on brand when we're doing work related events with 1166 00:58:37,640 --> 00:58:41,440 Speaker 2: the whole vibe we go with. But I my style 1167 00:58:41,560 --> 00:58:43,360 Speaker 2: is not too far off from hers. It's just a 1168 00:58:43,360 --> 00:58:47,240 Speaker 2: little different color wise really, And like I wear more jeans, 1169 00:58:47,280 --> 00:58:51,440 Speaker 2: like regular jeans, not black jeans, and you and I 1170 00:58:51,480 --> 00:58:57,560 Speaker 2: wear jellies of what jellies? Yeah, I know you have 1171 00:58:57,600 --> 00:58:59,920 Speaker 2: that cute pair of jellies I have. I have. 1172 00:59:00,000 --> 00:59:02,360 Speaker 1: I have one pair of blue jeans and when I 1173 00:59:02,400 --> 00:59:04,680 Speaker 1: wear them, like I wore them last week and I 1174 00:59:04,800 --> 00:59:06,680 Speaker 1: just was like, oh, I feel gross in these. 1175 00:59:06,720 --> 00:59:09,200 Speaker 2: I have to take them off. Yeah, Like you're crazy 1176 00:59:09,200 --> 00:59:11,200 Speaker 2: about that, Like you'll get jeans that don't have a 1177 00:59:11,240 --> 00:59:13,480 Speaker 2: black or gold button though of silver, and you're like, 1178 00:59:13,480 --> 00:59:16,000 Speaker 2: I can't wear these, which is ridiculous. I just don't care. 1179 00:59:16,120 --> 00:59:19,480 Speaker 2: I'm like a crazy person. What can I say? Whatever? 1180 00:59:20,000 --> 00:59:22,160 Speaker 2: All right, thank you guys so much. Don't forget to 1181 00:59:22,200 --> 00:59:25,120 Speaker 2: submit your entry for the one million download giveaway to 1182 00:59:25,200 --> 00:59:27,680 Speaker 2: stories at Mothernosdeath dot com and if you have a 1183 00:59:27,720 --> 00:59:30,080 Speaker 2: story for us, please send it to there as well 1184 00:59:30,240 --> 00:59:33,280 Speaker 2: or email sorry messages on Instagram. 1185 00:59:33,800 --> 00:59:40,440 Speaker 1: Thanks Toya, thank you for listening to Mother nos Death. 1186 00:59:41,160 --> 00:59:44,840 Speaker 1: As a reminder, my training is as a pathologists assistant. 1187 00:59:45,640 --> 00:59:49,080 Speaker 1: I have a master's level education and specialize in anatomy 1188 00:59:49,120 --> 00:59:52,760 Speaker 1: and pathology education. I am not a doctor and I 1189 00:59:52,760 --> 00:59:56,600 Speaker 1: have not diagnosed or treated anyone dead or alive without 1190 00:59:56,600 --> 01:00:01,960 Speaker 1: the assistance of a licensed medical doctor. This show, my website, 1191 01:00:02,120 --> 01:00:05,480 Speaker 1: and social media accounts are designed to educate and inform 1192 01:00:05,520 --> 01:00:09,760 Speaker 1: people based on my experience working in pathology, so they 1193 01:00:09,800 --> 01:00:13,200 Speaker 1: can make healthier decisions regarding their life and well being. 1194 01:00:14,320 --> 01:00:17,200 Speaker 1: Always remember that science is changing every day and the 1195 01:00:17,240 --> 01:00:20,560 Speaker 1: opinions expressed in this episode are based on my knowledge 1196 01:00:20,560 --> 01:00:24,200 Speaker 1: of those subjects at the time of publication. If you 1197 01:00:24,280 --> 01:00:28,160 Speaker 1: are having a medical problem, have a medical question, or 1198 01:00:28,320 --> 01:00:32,560 Speaker 1: having a medical emergency, Please contact your physician or visit 1199 01:00:32,640 --> 01:00:35,280 Speaker 1: an urgent care center, emergency room. 1200 01:00:35,280 --> 01:00:36,080 Speaker 2: Or hospital. 1201 01:00:36,720 --> 01:00:42,440 Speaker 1: Please rate, review, and subscribe to Mother Knows Death on Apple, Spotify, YouTube, 1202 01:00:42,680 --> 01:00:44,240 Speaker 1: or anywhere you get podcasts. 1203 01:00:44,760 --> 01:00:48,480 Speaker 2: Thanks