1 00:00:08,039 --> 00:00:14,080 Speaker 1: Mother Knows Dad starring Nicole and Jemmy and Maria qk. 2 00:00:20,840 --> 00:00:23,599 Speaker 2: Hi. Everyone welcome The Mother Knows Death. On today's episode, 3 00:00:23,600 --> 00:00:26,239 Speaker 2: we're going to talk about this week's viral video of 4 00:00:26,280 --> 00:00:28,600 Speaker 2: a woman who was stabbed to death on a train. 5 00:00:29,400 --> 00:00:32,400 Speaker 2: Luigi Mangionia is back in the news, only this time 6 00:00:32,440 --> 00:00:36,440 Speaker 2: he is a model. A family doctor has been arrested 7 00:00:36,440 --> 00:00:39,760 Speaker 2: for attempting to groom a child, a rare case of 8 00:00:39,800 --> 00:00:42,599 Speaker 2: a one month old baby who was born with twins 9 00:00:42,680 --> 00:00:46,440 Speaker 2: inside of her body, and the European band on jel 10 00:00:46,600 --> 00:00:50,040 Speaker 2: Now polish all that and more on today's episode. 11 00:00:51,240 --> 00:00:54,160 Speaker 3: All right, let's start off with this viral video of 12 00:00:54,200 --> 00:00:57,000 Speaker 3: the stabbing. I can't believe this is all caught on video. 13 00:00:57,080 --> 00:00:59,760 Speaker 3: Of course, the news outlets are cutting out the big chunk, 14 00:00:59,800 --> 00:01:03,160 Speaker 3: but basically what you see is this woman gets on 15 00:01:03,200 --> 00:01:05,640 Speaker 3: the train and she sits in front of this guy 16 00:01:05,680 --> 00:01:08,760 Speaker 3: who looks like he's sleeping or not paying attention, and 17 00:01:08,800 --> 00:01:11,480 Speaker 3: she's just playing on her phone for a couple of minutes, 18 00:01:11,520 --> 00:01:13,240 Speaker 3: and then all of a sudden, he pulls out a 19 00:01:13,240 --> 00:01:15,680 Speaker 3: pocket knife and starts stabbing her in front of all 20 00:01:15,720 --> 00:01:16,960 Speaker 3: these other people on the train. 21 00:01:17,959 --> 00:01:23,279 Speaker 2: Yeah, and no one else even reacts. It's so weird. 22 00:01:24,680 --> 00:01:27,399 Speaker 2: He gets up and is walking around with a knife 23 00:01:27,400 --> 00:01:31,040 Speaker 2: in his hand with blood dripping everywhere, to the point 24 00:01:31,040 --> 00:01:34,000 Speaker 2: where he like brushed up against a guy and it 25 00:01:34,120 --> 00:01:36,360 Speaker 2: was like right around the guy's feet. I feel like 26 00:01:36,400 --> 00:01:39,479 Speaker 2: the guy saw it, but nobody did anything. 27 00:01:39,800 --> 00:01:42,960 Speaker 3: Well, nobody did anything, and then it just, you know, 28 00:01:43,040 --> 00:01:45,880 Speaker 3: I think everybody's just so checked out on their phones 29 00:01:45,959 --> 00:01:49,160 Speaker 3: that like they either didn't realize what happened or whatever. 30 00:01:49,200 --> 00:01:51,360 Speaker 3: I mean, you didn't realize a woman just got murdered 31 00:01:51,360 --> 00:01:52,760 Speaker 3: on the same train car as you. 32 00:01:54,040 --> 00:01:58,240 Speaker 2: Yeah, I mean, honestly, I don't if that. I just 33 00:01:58,320 --> 00:02:00,320 Speaker 2: keep trying to put myself in that same kind of 34 00:02:00,360 --> 00:02:04,920 Speaker 2: a situation, and I'm like, if I witnessed that, I 35 00:02:04,960 --> 00:02:08,720 Speaker 2: don't know that I wouldn't necessarily do anything either, because 36 00:02:09,120 --> 00:02:11,160 Speaker 2: you're looking at a person that's bleeding to death in 37 00:02:11,160 --> 00:02:13,080 Speaker 2: front of you, and that guy just has a knife 38 00:02:13,080 --> 00:02:15,120 Speaker 2: in his hand still, And when a person has a 39 00:02:15,200 --> 00:02:17,920 Speaker 2: knife in their hand, it's like very hard to like, 40 00:02:18,080 --> 00:02:19,560 Speaker 2: what are you going to do if you if you 41 00:02:19,600 --> 00:02:21,920 Speaker 2: don't have a gun to shoot them down? Basically, like, 42 00:02:21,960 --> 00:02:24,000 Speaker 2: what are you going to do? I don't know. 43 00:02:24,040 --> 00:02:25,920 Speaker 3: And then there's the fear of being trapped in the 44 00:02:25,960 --> 00:02:28,320 Speaker 3: train car until it gets to the next stop, because like, 45 00:02:28,360 --> 00:02:30,520 Speaker 3: where are you supposed to go? And I know, in 46 00:02:30,600 --> 00:02:32,760 Speaker 3: theory you could probably get to the next train car, 47 00:02:32,880 --> 00:02:35,400 Speaker 3: but it's not that easy to do, and the train 48 00:02:35,480 --> 00:02:37,400 Speaker 3: is moving of course too, and you're panicked. 49 00:02:37,639 --> 00:02:40,680 Speaker 2: Yes, I feel like I would. I mean I feel 50 00:02:40,680 --> 00:02:44,040 Speaker 2: like I would be kind of paralyzed sitting there thinking 51 00:02:44,080 --> 00:02:46,480 Speaker 2: like what the hell do I do? Because you're is 52 00:02:46,520 --> 00:02:48,399 Speaker 2: it I don't know if it was an underground train 53 00:02:48,520 --> 00:02:50,160 Speaker 2: or whatever, but even if it's above ground, like you 54 00:02:50,200 --> 00:02:53,280 Speaker 2: can't just jump out of a moving train, and apparently 55 00:02:53,840 --> 00:02:59,120 Speaker 2: there were officers in the next train car. The whole 56 00:02:59,160 --> 00:03:01,920 Speaker 2: thing is like it's it's so scary, and you know 57 00:03:02,040 --> 00:03:05,720 Speaker 2: this happened on August twenty second, Like why it's just 58 00:03:05,840 --> 00:03:09,000 Speaker 2: going viral right now. It's just weird that you just 59 00:03:09,040 --> 00:03:11,760 Speaker 2: didn't hear anything about this until this weekend. 60 00:03:12,480 --> 00:03:15,120 Speaker 3: Yeah, I really wonder why I get I don't know. 61 00:03:15,200 --> 00:03:17,680 Speaker 3: This is just so disturbing because it was at ten pm. 62 00:03:17,760 --> 00:03:21,359 Speaker 3: This girl is wearing her work uniform still, she probably 63 00:03:21,400 --> 00:03:23,400 Speaker 3: just got off her shift or she was either on 64 00:03:23,480 --> 00:03:25,080 Speaker 3: her way to work. I don't know what the deal was. 65 00:03:25,120 --> 00:03:27,679 Speaker 3: I think she worked at a pizza place. And to 66 00:03:27,800 --> 00:03:29,920 Speaker 3: think you're just sitting there with your guard down and 67 00:03:29,960 --> 00:03:32,120 Speaker 3: somebody behind you just all of a sudden pulls out 68 00:03:32,160 --> 00:03:34,560 Speaker 3: a knife and starts stabbing you to death, totally unprompted 69 00:03:34,680 --> 00:03:38,960 Speaker 3: or anything. It's so terrifying and honestly, after the Idaho case, 70 00:03:40,160 --> 00:03:42,680 Speaker 3: obviously people get stabbed to death and everything, but after 71 00:03:42,720 --> 00:03:45,240 Speaker 3: seeing what went down there with him very quickly killing 72 00:03:45,280 --> 00:03:48,400 Speaker 3: four grown up people, it's very scary to think how 73 00:03:48,480 --> 00:03:49,240 Speaker 3: quickly that gets. 74 00:03:49,480 --> 00:03:52,600 Speaker 2: It's easy to do if you know where to do it. 75 00:03:52,880 --> 00:03:55,800 Speaker 2: I mean, this was a big guy, and everybody was 76 00:03:55,840 --> 00:03:58,840 Speaker 2: saying there's no way that that Brian Coberger killed all 77 00:03:58,880 --> 00:04:01,480 Speaker 2: those people, and it was what was it like nine 78 00:04:01,520 --> 00:04:04,960 Speaker 2: minutes or something, and you're like, no, this guy just 79 00:04:05,040 --> 00:04:10,200 Speaker 2: killed this woman in one minute, not even thirty seconds, right, yeah, 80 00:04:10,240 --> 00:04:12,480 Speaker 2: I mean he just attacked her. And just watching it, 81 00:04:12,800 --> 00:04:16,240 Speaker 2: I mean, one thing that we all can learn from 82 00:04:16,240 --> 00:04:19,479 Speaker 2: watching this video is that it's not a good idea 83 00:04:19,520 --> 00:04:23,240 Speaker 2: to have earbuds on like that. Not that I don't 84 00:04:23,279 --> 00:04:26,560 Speaker 2: know how to prevent today, it doesn't matter. You just 85 00:04:26,600 --> 00:04:29,960 Speaker 2: like you can't be sitting there just like completely in 86 00:04:30,160 --> 00:04:34,480 Speaker 2: your own zone on public transportation like that by yourself. 87 00:04:34,520 --> 00:04:38,320 Speaker 2: It's just it's just not a good idea personally, Like 88 00:04:38,400 --> 00:04:41,799 Speaker 2: I think I see people walking around all the time 89 00:04:41,880 --> 00:04:45,800 Speaker 2: outside with earbuds on by themselves, women especially, and it 90 00:04:45,960 --> 00:04:48,440 Speaker 2: just I just don't think it's a great idea. I 91 00:04:48,480 --> 00:04:51,400 Speaker 2: think that you're just a target for someone to sneak 92 00:04:51,480 --> 00:04:54,400 Speaker 2: up behind you. And maybe it would have maybe she 93 00:04:54,440 --> 00:04:56,520 Speaker 2: would have heard something going on behind her. The guy 94 00:04:56,640 --> 00:04:59,840 Speaker 2: was like talking to himself. That could have just been like, oh, 95 00:05:00,080 --> 00:05:01,680 Speaker 2: let me just get up and move because this is 96 00:05:01,720 --> 00:05:03,760 Speaker 2: like weird. I don't know if it would have helped. 97 00:05:03,760 --> 00:05:07,000 Speaker 3: But I don't think her wearing them had anything to 98 00:05:07,000 --> 00:05:09,000 Speaker 3: do with the outcome of this case. Other people on 99 00:05:09,040 --> 00:05:11,200 Speaker 3: the train car for sure, because I think a lot 100 00:05:11,240 --> 00:05:14,440 Speaker 3: of people didn't hear like discreaming and everything going down. 101 00:05:14,480 --> 00:05:16,719 Speaker 3: But for her, if you watch this video, it happened 102 00:05:16,760 --> 00:05:19,600 Speaker 3: so quickly, it wouldn't have mattered. Yeah, if she's just 103 00:05:19,640 --> 00:05:22,080 Speaker 3: saying that, I don't, I just don't. In general, I 104 00:05:22,120 --> 00:05:23,640 Speaker 3: just don't think it's a great idea. 105 00:05:24,160 --> 00:05:26,560 Speaker 2: I think I don't think that there's you know what, 106 00:05:26,760 --> 00:05:32,359 Speaker 2: like this case is so terrible because like even even 107 00:05:32,400 --> 00:05:35,840 Speaker 2: if there was a cop in the car right, it 108 00:05:35,960 --> 00:05:38,479 Speaker 2: still could have it still would have happened. And yes 109 00:05:38,520 --> 00:05:40,440 Speaker 2: the cop would have been able to shot shoot the 110 00:05:40,440 --> 00:05:43,400 Speaker 2: guy dead right then and there, but like it already happened. 111 00:05:44,440 --> 00:05:47,960 Speaker 2: It was so fast and and and the the bigger 112 00:05:48,040 --> 00:05:51,520 Speaker 2: issue is just like this guy again, I feel like 113 00:05:51,600 --> 00:05:54,120 Speaker 2: every single week on this show, we're talking about this 114 00:05:54,520 --> 00:05:59,799 Speaker 2: has this like super long history of crime and attached 115 00:05:59,800 --> 00:06:04,960 Speaker 2: with mental illness. And what really sucks is that his parents, 116 00:06:05,040 --> 00:06:07,960 Speaker 2: his mom and family has already come out and said, like, 117 00:06:08,839 --> 00:06:11,159 Speaker 2: we tried to do everything, and they were like, you 118 00:06:11,279 --> 00:06:14,240 Speaker 2: can't admit him to the hospital because he's not a minor. 119 00:06:14,960 --> 00:06:18,560 Speaker 2: And she, the mom, just like couldn't couldn't get him help. 120 00:06:18,880 --> 00:06:21,360 Speaker 2: And imagine how she feels that she tried really hard 121 00:06:21,360 --> 00:06:23,760 Speaker 2: to get him help and she couldn't get him help. 122 00:06:23,800 --> 00:06:26,200 Speaker 2: But now her son did this to an innocent person. 123 00:06:27,160 --> 00:06:30,039 Speaker 3: Well, yeah, I'm sure that feels horrific, you know, to 124 00:06:30,120 --> 00:06:33,120 Speaker 3: even be dealing with. I want to say first, like, 125 00:06:33,720 --> 00:06:37,280 Speaker 3: it's we don't often see when families have children with 126 00:06:37,360 --> 00:06:39,920 Speaker 3: severe mental issues like this that they're even addressing it 127 00:06:40,040 --> 00:06:43,680 Speaker 3: head on, right so with extra Yeah exactly, that's that's 128 00:06:43,720 --> 00:06:45,760 Speaker 3: like the mom's not ignoring it. She was like, yeah, 129 00:06:46,279 --> 00:06:48,840 Speaker 3: I guess the guy had attacked a sister at some point, 130 00:06:49,360 --> 00:06:51,480 Speaker 3: and the sister dropped charges because she was like, I 131 00:06:51,520 --> 00:06:56,560 Speaker 3: know that he's he's having he was having delusions and hallucinations. 132 00:06:56,560 --> 00:07:00,520 Speaker 3: He actually told police officers that there were like foreign 133 00:07:00,640 --> 00:07:03,479 Speaker 3: objects implanted in his body and that they needed to 134 00:07:03,520 --> 00:07:08,159 Speaker 3: come out and stuff like. He was clearly having severe 135 00:07:08,279 --> 00:07:11,080 Speaker 3: mental health issues. And the fact that they just like 136 00:07:11,240 --> 00:07:13,560 Speaker 3: let this guy just be on the street is. 137 00:07:15,200 --> 00:07:17,560 Speaker 2: It's just not fair. It's not fair to it's not 138 00:07:17,600 --> 00:07:19,920 Speaker 2: fair to him, and it's not fair. It's definitely not 139 00:07:20,040 --> 00:07:24,080 Speaker 2: fair to society that has to live with people that 140 00:07:24,240 --> 00:07:26,120 Speaker 2: are that unstable. 141 00:07:27,000 --> 00:07:28,880 Speaker 3: No, for sure. I mean he's been in and out 142 00:07:28,880 --> 00:07:31,000 Speaker 3: of jail for years. They were saying in this article 143 00:07:31,000 --> 00:07:34,320 Speaker 3: he had fourteen cases, not including this one, linked to 144 00:07:34,360 --> 00:07:37,720 Speaker 3: his name, going back to twenty eleven, so for at 145 00:07:37,800 --> 00:07:41,840 Speaker 3: least over a decade he's been has this extensive criminal history. 146 00:07:42,360 --> 00:07:44,280 Speaker 3: Why is somebody like this on the loose? I don't 147 00:07:44,360 --> 00:07:46,320 Speaker 3: understand it. And it's not like he was a non 148 00:07:46,440 --> 00:07:51,400 Speaker 3: violent offender. They were saying. He had convictions for armed robbery, felony, larceny, 149 00:07:51,480 --> 00:07:53,560 Speaker 3: and breaking and entering. This is not a person that 150 00:07:53,600 --> 00:07:55,600 Speaker 3: should just be walking amongst everybody else. 151 00:07:56,720 --> 00:07:59,080 Speaker 2: Yeah, I mean it's I mean, we were saying the 152 00:07:59,120 --> 00:08:03,560 Speaker 2: same thing about Jay Carrow and just almost killing his 153 00:08:03,600 --> 00:08:08,160 Speaker 2: newborn daughter and being allowed out and then doing it again. 154 00:08:08,760 --> 00:08:14,120 Speaker 2: And I'm kind of all for really judges, especially like 155 00:08:14,240 --> 00:08:17,240 Speaker 2: letting certain people out when they commit a secondary crime 156 00:08:17,320 --> 00:08:21,600 Speaker 2: and getting some kind of punishment for it, because really, 157 00:08:22,200 --> 00:08:25,440 Speaker 2: maybe that would make them think twice about the risks 158 00:08:25,560 --> 00:08:27,800 Speaker 2: to the population some of these people are. 159 00:08:28,600 --> 00:08:30,360 Speaker 3: Well, I just feel like we're seeing it more and 160 00:08:30,400 --> 00:08:33,040 Speaker 3: more often lately. So is that actually going to go 161 00:08:33,120 --> 00:08:35,560 Speaker 3: in effect where there are punishments for the lawyers and 162 00:08:35,600 --> 00:08:39,040 Speaker 3: the judges involved in defending these people that are harmful 163 00:08:39,080 --> 00:08:41,080 Speaker 3: to society, I don't know. 164 00:08:41,160 --> 00:08:44,040 Speaker 2: I just like when you hear part of the police 165 00:08:44,080 --> 00:08:48,040 Speaker 2: records stating that he was telling them that he had 166 00:08:48,080 --> 00:08:51,319 Speaker 2: things implanted in his body that needed to get removed 167 00:08:51,320 --> 00:08:53,840 Speaker 2: and all this stuff. That guy didn't need to be 168 00:08:54,000 --> 00:08:58,600 Speaker 2: in prison, Like what was prison going to he was 169 00:08:58,720 --> 00:09:02,880 Speaker 2: delusional to be in a mental health hospital? Well exactly, 170 00:09:02,960 --> 00:09:05,160 Speaker 2: you know what I mean, Like, I understand that he 171 00:09:05,200 --> 00:09:07,839 Speaker 2: committed a crime and everything, but he needed to get 172 00:09:07,880 --> 00:09:13,640 Speaker 2: like treated before even going into print. Like what's prison 173 00:09:13,679 --> 00:09:16,120 Speaker 2: going to do for a person like that? And I 174 00:09:16,200 --> 00:09:18,480 Speaker 2: understand what you're saying about the headphones, and I agree 175 00:09:18,480 --> 00:09:20,160 Speaker 2: with you to an extent. I just think in this 176 00:09:20,240 --> 00:09:22,920 Speaker 2: particular case, it wasn't saving her life whether she had 177 00:09:23,000 --> 00:09:25,040 Speaker 2: him on or not, because he attacked her from behind. 178 00:09:25,360 --> 00:09:27,560 Speaker 2: Even if he was talking to himself. It was a 179 00:09:27,600 --> 00:09:30,080 Speaker 2: pack train, she might have not thought anything of it 180 00:09:30,200 --> 00:09:31,920 Speaker 2: or like I need to move. There was other people 181 00:09:31,960 --> 00:09:34,760 Speaker 2: around him too. He seemed to be sleeping when she 182 00:09:34,840 --> 00:09:38,920 Speaker 2: initially sat down, so so freaking scary. Like you just 183 00:09:39,000 --> 00:09:42,280 Speaker 2: watch it and you're just like, I don't know, like 184 00:09:42,520 --> 00:09:46,520 Speaker 2: what do you even how do you even prevent that? 185 00:09:46,600 --> 00:09:48,800 Speaker 2: Like what's the thing to do now? It's just like 186 00:09:49,000 --> 00:09:52,760 Speaker 2: it's scary as hell. I feel like that happened recently too, 187 00:09:52,800 --> 00:09:55,720 Speaker 2: within the past couple of years, that someone went on 188 00:09:55,800 --> 00:10:00,000 Speaker 2: a train and killed at least one, maybe a few 189 00:10:00,120 --> 00:10:02,360 Speaker 2: people that were just sleeping on the train, like no 190 00:10:02,559 --> 00:10:05,760 Speaker 2: interaction with them whatsoever. Well, that woman that was set 191 00:10:05,800 --> 00:10:08,360 Speaker 2: on fire right before, Oh yeah, that too, God, that 192 00:10:08,520 --> 00:10:12,480 Speaker 2: was terrible. I don't know, it's just so scary, I 193 00:10:12,480 --> 00:10:15,360 Speaker 2: think for everybody else on the train, Like and what 194 00:10:15,400 --> 00:10:18,720 Speaker 2: you're saying in general, is like I think you could 195 00:10:18,760 --> 00:10:21,480 Speaker 2: have you know, there's two AirPods. I think maybe you 196 00:10:21,520 --> 00:10:23,880 Speaker 2: could have one in so you could listen to something 197 00:10:23,960 --> 00:10:26,480 Speaker 2: and have one out so you could hear what's going on. 198 00:10:26,800 --> 00:10:29,400 Speaker 2: A lot of people anymore are very naive about their 199 00:10:29,440 --> 00:10:31,960 Speaker 2: surroundings and then things like this happen and they don't 200 00:10:32,000 --> 00:10:34,600 Speaker 2: realize there's a woman that just got murdered on their 201 00:10:34,640 --> 00:10:37,920 Speaker 2: same train car, and therefore they're not, you know, paying 202 00:10:37,920 --> 00:10:40,080 Speaker 2: attention to their surroundings. What if that guy came for 203 00:10:40,120 --> 00:10:42,400 Speaker 2: them next, because they're just It's the same thing with 204 00:10:42,480 --> 00:10:45,080 Speaker 2: the phone though, too, Like especially with kids. It's like 205 00:10:45,120 --> 00:10:47,640 Speaker 2: you see these kids walking around school and stuff and 206 00:10:47,640 --> 00:10:49,920 Speaker 2: they're just like looking down at their phone. Every single 207 00:10:49,960 --> 00:10:52,080 Speaker 2: time a child walks up and down my street, I 208 00:10:52,160 --> 00:10:54,720 Speaker 2: just see them looking at their phone, and I'm like, 209 00:10:56,080 --> 00:10:57,960 Speaker 2: it could be It doesn't even have to be like 210 00:10:58,280 --> 00:11:02,240 Speaker 2: a homicide situation. Let's say there's a car driving erradically 211 00:11:02,320 --> 00:11:04,679 Speaker 2: up the street that's going to go onto the sidewalk, 212 00:11:04,760 --> 00:11:07,560 Speaker 2: Like your instincts are just not going to work the 213 00:11:07,600 --> 00:11:11,559 Speaker 2: same when you're engaged in something else like that. And 214 00:11:13,320 --> 00:11:17,199 Speaker 2: it's just like it's unfortunate because when that's the best 215 00:11:17,200 --> 00:11:19,840 Speaker 2: place to have earpop air buds in. Like we just 216 00:11:19,880 --> 00:11:22,400 Speaker 2: were on the plane for hours. It's you're just sitting 217 00:11:22,400 --> 00:11:27,920 Speaker 2: there kind of stuck and going somewhere. So and maybe 218 00:11:28,120 --> 00:11:31,560 Speaker 2: maybe that's part of the solution, is that there just 219 00:11:31,600 --> 00:11:34,440 Speaker 2: needs to be a little bit more security in those situations. 220 00:11:34,480 --> 00:11:36,320 Speaker 2: And I don't mean having a cop on the car, 221 00:11:36,400 --> 00:11:40,680 Speaker 2: but more like I think Gabe said when he went 222 00:11:40,760 --> 00:11:43,440 Speaker 2: to Europe for when he was in school studying the 223 00:11:43,520 --> 00:11:46,240 Speaker 2: terrorism stuff, I thought he said that there was that 224 00:11:46,320 --> 00:11:50,600 Speaker 2: they were checking it trains like metal detectors and things 225 00:11:50,720 --> 00:11:52,280 Speaker 2: like that, because there's. 226 00:11:52,080 --> 00:11:54,240 Speaker 3: No way they could do it with the way people 227 00:11:54,280 --> 00:11:56,840 Speaker 3: commute in major cities. It would hold everybody up. 228 00:11:56,960 --> 00:11:58,400 Speaker 2: Yeah, I I know. 229 00:11:58,679 --> 00:12:02,080 Speaker 3: Just but unless they want to have like those AI 230 00:12:02,160 --> 00:12:04,880 Speaker 3: scanners they have at the Phillies game and then somebody's 231 00:12:04,880 --> 00:12:07,559 Speaker 3: standing close by so if something pops off, then. 232 00:12:07,800 --> 00:12:10,040 Speaker 2: Yeah, And that's the thing, because I guess that's why 233 00:12:10,040 --> 00:12:11,520 Speaker 2: I think of that, because I'm like, I know, the 234 00:12:11,640 --> 00:12:16,040 Speaker 2: technology exists, like you're saying, like if you just had 235 00:12:16,679 --> 00:12:18,760 Speaker 2: exactly the same exact thing at the Phillies game, if 236 00:12:18,760 --> 00:12:22,280 Speaker 2: you just had people walking through this thing and someone 237 00:12:22,559 --> 00:12:26,400 Speaker 2: was monitoring it, and pulling over certain people it. I mean, 238 00:12:26,640 --> 00:12:28,720 Speaker 2: I never go to the Phillies game and thank god, 239 00:12:28,760 --> 00:12:30,440 Speaker 2: we have to wait in this huge long line, Like 240 00:12:30,480 --> 00:12:37,080 Speaker 2: it goes really fast because the security system is able 241 00:12:37,120 --> 00:12:38,120 Speaker 2: to pick it up. 242 00:12:38,160 --> 00:12:40,400 Speaker 3: You know, but you're also going to a game. You're 243 00:12:40,400 --> 00:12:42,840 Speaker 3: not trying to like get to work on a system 244 00:12:42,880 --> 00:12:45,120 Speaker 3: that like might suck at being on time or it 245 00:12:45,200 --> 00:12:47,000 Speaker 3: might be early. You just don't know, like it would 246 00:12:47,080 --> 00:12:49,560 Speaker 3: jam things up too much. But I think they could 247 00:12:49,559 --> 00:12:50,920 Speaker 3: figure out a way to do it. 248 00:12:53,280 --> 00:12:55,360 Speaker 2: Even so though, but if you think about this, like 249 00:12:55,880 --> 00:12:58,480 Speaker 2: the person that set someone on fire, like you're not 250 00:12:58,520 --> 00:13:00,240 Speaker 2: going to pull over someone that has a lighter their 251 00:13:00,240 --> 00:13:03,959 Speaker 2: pocket and like a water bottle that might be filled 252 00:13:03,960 --> 00:13:08,480 Speaker 2: with gasoline, right, Like, it's just when people want to 253 00:13:08,480 --> 00:13:11,080 Speaker 2: do bad shit, they find ways around it with other 254 00:13:11,120 --> 00:13:12,920 Speaker 2: bad shit that doesn't appear to be. 255 00:13:13,360 --> 00:13:15,560 Speaker 3: Yeah, but in this case, this guy had a knife, 256 00:13:15,600 --> 00:13:18,880 Speaker 3: so yeah, yeah, you could have stopped that. But then 257 00:13:19,000 --> 00:13:22,040 Speaker 3: you have to think about I'm sure thousands of people 258 00:13:22,080 --> 00:13:25,640 Speaker 3: go on public transportation with knives and never do anything bad. 259 00:13:25,679 --> 00:13:28,400 Speaker 2: Oh yeah, you know, millions millions of people. I mean, 260 00:13:28,400 --> 00:13:30,520 Speaker 2: if you think I don't even know what the numbers 261 00:13:30,520 --> 00:13:32,400 Speaker 2: are for the New York City train, for example. But 262 00:13:32,559 --> 00:13:35,600 Speaker 2: there's millions of people using that every year, and there's 263 00:13:36,120 --> 00:13:40,600 Speaker 2: relatively we hear about all of the things happening on 264 00:13:40,640 --> 00:13:45,360 Speaker 2: the subway, but statistically it's probably very low compared to 265 00:13:45,400 --> 00:13:47,640 Speaker 2: the amount of people that are on it every day. 266 00:13:49,120 --> 00:13:52,480 Speaker 3: Okay, quite the shock when people were scrolling through Sheian 267 00:13:52,679 --> 00:13:55,120 Speaker 3: last week and saw that Luigi Manchio and he was 268 00:13:55,200 --> 00:13:56,680 Speaker 3: modeling some of their clothing. 269 00:13:56,960 --> 00:14:00,320 Speaker 2: It's unbelievable. You know what this reminds me of what 270 00:14:01,520 --> 00:14:06,319 Speaker 2: there was a couple years ago. There was on Amazon 271 00:14:06,360 --> 00:14:09,200 Speaker 2: there was a Father's Day blanket that was for sale, 272 00:14:09,720 --> 00:14:11,960 Speaker 2: and it was a blanket with a heart in the 273 00:14:11,960 --> 00:14:16,480 Speaker 2: middle that said Happy Father's Day, with blank spaces where 274 00:14:16,520 --> 00:14:20,400 Speaker 2: you could add pictures of your your husband, or your 275 00:14:20,480 --> 00:14:23,120 Speaker 2: dad to give it to him for Father's Day. And 276 00:14:23,200 --> 00:14:28,560 Speaker 2: the example they showed had a picture of Chris Watts 277 00:14:28,600 --> 00:14:29,920 Speaker 2: in on the blanket. 278 00:14:30,440 --> 00:14:32,200 Speaker 3: I remember when you sent this to me and I 279 00:14:32,240 --> 00:14:34,800 Speaker 3: could not believe it, and sure enough it was there. 280 00:14:35,720 --> 00:14:40,440 Speaker 2: It's there. So Chris Watts, if you remember, killed his 281 00:14:40,600 --> 00:14:44,360 Speaker 2: wife and his children in a brutal way by putting 282 00:14:44,360 --> 00:14:49,080 Speaker 2: his children in oil. What were they were oil barrels? 283 00:14:49,720 --> 00:14:53,320 Speaker 2: They were squeezed into these little small oil barrels where 284 00:14:53,320 --> 00:14:57,320 Speaker 2: they were into these little tiny holes they were squeezed into, 285 00:14:57,560 --> 00:15:00,760 Speaker 2: and then their dead little bodies were left in the 286 00:15:00,800 --> 00:15:04,640 Speaker 2: oil to decompose and be found like that. So him 287 00:15:04,760 --> 00:15:06,800 Speaker 2: and his wife and his two kids were in a 288 00:15:06,840 --> 00:15:09,840 Speaker 2: photograph on a blanket that they were selling on Amazon 289 00:15:10,360 --> 00:15:13,680 Speaker 2: for Father's Day as the example of the ultimate father, 290 00:15:14,640 --> 00:15:17,520 Speaker 2: Like how do these things slip through the Let me 291 00:15:17,560 --> 00:15:20,280 Speaker 2: tell you, I didn't even tell you this actually, So 292 00:15:21,280 --> 00:15:24,640 Speaker 2: last week Lubert says to me, can you order me 293 00:15:25,000 --> 00:15:29,520 Speaker 2: Hawaiian stickers for my notepad for school? Right? So I 294 00:15:29,560 --> 00:15:32,720 Speaker 2: get one of these like sixty packs of stickers off 295 00:15:32,720 --> 00:15:38,840 Speaker 2: of Amazon that's titled Whola Girl four Girls sixty vinyl 296 00:15:38,880 --> 00:15:43,000 Speaker 2: proof or like waterproof stickers. Right. So I get it 297 00:15:43,040 --> 00:15:45,240 Speaker 2: and I go through the stickers and it's like because 298 00:15:45,280 --> 00:15:47,440 Speaker 2: I was putting them all like fancy on her notebook, 299 00:15:47,440 --> 00:15:50,040 Speaker 2: and it's like a hibiscus and a coconut and like 300 00:15:50,160 --> 00:15:53,440 Speaker 2: little girls on surfboards. And then there's one and you 301 00:15:53,480 --> 00:15:58,080 Speaker 2: won't believe what it says. It says, I heart DILFS 302 00:16:00,120 --> 00:16:03,680 Speaker 2: stands for Dad. I like to fuck, it's serious. So 303 00:16:03,920 --> 00:16:07,360 Speaker 2: I look at it and I'm like, this does this 304 00:16:07,560 --> 00:16:10,040 Speaker 2: say this? Because it's written in cursive and there's like 305 00:16:10,080 --> 00:16:13,160 Speaker 2: coconuts and stuff around it, and I'm looking and I'm looking, 306 00:16:13,160 --> 00:16:15,520 Speaker 2: and I'm like, I must just not be reading this, right, 307 00:16:15,560 --> 00:16:17,680 Speaker 2: I don't know. So I go up to Gabe and 308 00:16:17,720 --> 00:16:19,600 Speaker 2: I'm like, what does this say? I don't ask, I 309 00:16:19,640 --> 00:16:21,200 Speaker 2: don't tell him what I think it says. I said, 310 00:16:21,200 --> 00:16:26,040 Speaker 2: what does this say? And he says it says iHeart dilfs. 311 00:16:26,920 --> 00:16:29,160 Speaker 2: So he looks at me and he's like, what does 312 00:16:29,160 --> 00:16:31,960 Speaker 2: that mean? And I said it means dad, I like 313 00:16:32,000 --> 00:16:35,840 Speaker 2: to fuck, and he's like, oh, like milf and I said, yeah, 314 00:16:35,920 --> 00:16:38,800 Speaker 2: it's like milf, except it's diff it's like a thing. 315 00:16:39,520 --> 00:16:42,640 Speaker 2: So I was actually going to take a picture of 316 00:16:42,680 --> 00:16:44,960 Speaker 2: it and make a video for Instagram, but then when 317 00:16:44,960 --> 00:16:47,360 Speaker 2: I came back downstairs, it was gone. And he's like, 318 00:16:47,480 --> 00:16:48,920 Speaker 2: I threw that out. I don't want them putting that 319 00:16:49,000 --> 00:16:52,160 Speaker 2: on their notebook by accident, and I'm just like, no, dude. 320 00:16:52,200 --> 00:16:55,040 Speaker 2: So then I go on the reviews for it because 321 00:16:55,080 --> 00:16:57,640 Speaker 2: I'm like, maybe I just got one in my package, 322 00:16:57,680 --> 00:17:00,080 Speaker 2: and sure enough, like most of the people were just 323 00:17:00,120 --> 00:17:02,120 Speaker 2: like the stickers are really cute, but there's this like 324 00:17:02,280 --> 00:17:05,000 Speaker 2: random one that says iHeart delfs, like it wasn't just 325 00:17:05,119 --> 00:17:09,680 Speaker 2: me so, and I'm like, this is so fucked up 326 00:17:09,840 --> 00:17:13,160 Speaker 2: like that, because like if I gave them to Lucia 327 00:17:13,359 --> 00:17:16,119 Speaker 2: and just said here, put these on on your notebook, 328 00:17:16,440 --> 00:17:19,200 Speaker 2: because typically she would take all sixty and put them 329 00:17:19,200 --> 00:17:22,720 Speaker 2: on the notebook. And I'm like, what is happening right now? 330 00:17:23,000 --> 00:17:26,120 Speaker 2: Like that didn't accidentally slip through the cracks? Like why 331 00:17:26,160 --> 00:17:28,200 Speaker 2: would there even be a sticker that says that when 332 00:17:28,240 --> 00:17:29,400 Speaker 2: it's for little children? 333 00:17:29,800 --> 00:17:32,679 Speaker 3: Can you imagine if she went to school and you 334 00:17:32,720 --> 00:17:34,119 Speaker 3: didn't see. 335 00:17:35,560 --> 00:17:37,800 Speaker 2: I'm like, this isn't what I mean, But how weird 336 00:17:37,880 --> 00:17:40,359 Speaker 2: is that? Like so so you want like a little 337 00:17:40,400 --> 00:17:42,679 Speaker 2: girl that's ten years old to have that written on 338 00:17:42,720 --> 00:17:47,080 Speaker 2: her notebook like some like talk about child grooming and 339 00:17:47,119 --> 00:17:49,399 Speaker 2: shit like that. That's fucked up. Well that's what I 340 00:17:49,480 --> 00:17:50,280 Speaker 2: was just gonna say. 341 00:17:50,280 --> 00:17:53,760 Speaker 3: I mean, this is like when Balenciaga did that photo show. Yeah, 342 00:17:53,800 --> 00:17:56,680 Speaker 3: they had those papers scattered on the ground that referenced 343 00:17:56,760 --> 00:17:59,439 Speaker 3: some pedophilia case. Yeah, and they were like, oh, that 344 00:17:59,560 --> 00:18:01,680 Speaker 3: was an act accident, and You're like, no, that actually 345 00:18:01,720 --> 00:18:04,359 Speaker 3: wasn't an accident. So I mean it's a little bit different, 346 00:18:04,400 --> 00:18:08,199 Speaker 3: but still you're just questioning. So the best is is 347 00:18:08,240 --> 00:18:13,000 Speaker 3: that they contacted Sheen, and Sheen was just like, oh, 348 00:18:13,119 --> 00:18:16,440 Speaker 3: that was from a third party, and we've since taken 349 00:18:16,480 --> 00:18:19,320 Speaker 3: it down and we have the most vigorous standards when 350 00:18:19,320 --> 00:18:22,040 Speaker 3: it comes to us, you have the most vigorous standards. 351 00:18:22,119 --> 00:18:25,919 Speaker 2: And I was like, no, you don't, because otherwise, like 352 00:18:26,840 --> 00:18:29,119 Speaker 2: and somebody did it. And then a part of me 353 00:18:29,200 --> 00:18:32,280 Speaker 2: is just like, did they just do this for like clickbait? 354 00:18:33,680 --> 00:18:36,080 Speaker 2: Because all they did was apologize and take it down, 355 00:18:36,119 --> 00:18:38,560 Speaker 2: but like, ultimately nobody's doing anything about it. 356 00:18:38,680 --> 00:18:40,439 Speaker 3: Well, I love too that they're like, we don't know 357 00:18:40,480 --> 00:18:43,080 Speaker 3: if the photos AI generated, Like, well, what is it? 358 00:18:43,200 --> 00:18:45,880 Speaker 3: He either modeled for it before he got arrested, as 359 00:18:45,920 --> 00:18:49,359 Speaker 3: like a stock image model, which I guess is possible. 360 00:18:49,760 --> 00:18:53,359 Speaker 2: Well, I say that too. From Luigi's perspective, I would 361 00:18:53,359 --> 00:18:55,600 Speaker 2: be like, not that I'm trying to stand up for 362 00:18:55,640 --> 00:18:57,320 Speaker 2: the dude, but I would just be like, if you're 363 00:18:57,359 --> 00:19:00,080 Speaker 2: fucking making money off of my image on your web 364 00:19:00,160 --> 00:19:04,640 Speaker 2: site that makes billions of dollars, then you better give 365 00:19:04,720 --> 00:19:07,480 Speaker 2: me the money for it, because you're using my image 366 00:19:07,520 --> 00:19:09,320 Speaker 2: to sell right. 367 00:19:09,720 --> 00:19:12,560 Speaker 3: Yeah, I'm actually curious if he's going to file a 368 00:19:12,640 --> 00:19:15,639 Speaker 3: lawsuit against them for that, that'll. 369 00:19:15,200 --> 00:19:18,240 Speaker 2: Be the new news. I mean, like, I think he's 370 00:19:18,240 --> 00:19:20,919 Speaker 2: in prison for murder. He shouldn't have any rights. But 371 00:19:21,000 --> 00:19:23,880 Speaker 2: at the same time, you're just like, these companies shouldn't 372 00:19:23,880 --> 00:19:26,560 Speaker 2: be using anybody's picture to make money. Like, if that's 373 00:19:26,600 --> 00:19:31,480 Speaker 2: not a real model that they paid for, then that's 374 00:19:31,520 --> 00:19:35,160 Speaker 2: not like a random AI image that's coming up, right. 375 00:19:35,600 --> 00:19:38,879 Speaker 2: I love TMZ being like it appeared to look like 376 00:19:39,440 --> 00:19:40,360 Speaker 2: Luigi Manngiuni. 377 00:19:40,440 --> 00:19:43,159 Speaker 1: I'm like, who else looks like that? That's why he 378 00:19:43,240 --> 00:19:47,439 Speaker 1: got arrested so quickly. Who else has eyebrows like that? 379 00:19:47,600 --> 00:19:52,600 Speaker 1: Come on, it was ridiculous. Speaking of grooming, a family 380 00:19:52,640 --> 00:19:56,120 Speaker 1: doctor has been arrested after allegedly soliciting an undercover cop 381 00:19:56,119 --> 00:19:58,240 Speaker 1: who was posing as a mother to have sex with 382 00:19:58,280 --> 00:19:58,800 Speaker 1: her five. 383 00:19:58,720 --> 00:19:59,399 Speaker 2: Year old daughter. 384 00:19:59,760 --> 00:20:03,840 Speaker 3: Yeah great, Yeah really, family doctor, that's great. Access to 385 00:20:03,960 --> 00:20:07,000 Speaker 3: children alone in exam rooms, really really great to hear. 386 00:20:07,560 --> 00:20:11,040 Speaker 3: It's also it's also interesting too, because he had, like 387 00:20:11,119 --> 00:20:14,040 Speaker 3: his digital footprint showed that he had a bunch of 388 00:20:15,119 --> 00:20:20,880 Speaker 3: weird searches about related to contraception, full term abortions, and 389 00:20:21,119 --> 00:20:25,600 Speaker 3: intentional drug and alcohol used to cause people to have 390 00:20:25,720 --> 00:20:28,159 Speaker 3: birth defects. Yeah, like what is that about? 391 00:20:28,640 --> 00:20:31,560 Speaker 2: I don't know, but it's so alarming. And you know, 392 00:20:31,640 --> 00:20:34,800 Speaker 2: the the hospital or that he was practicing in and 393 00:20:35,040 --> 00:20:37,240 Speaker 2: like put out a statement saying that he was immediately 394 00:20:37,240 --> 00:20:40,879 Speaker 2: fired and all, and like, obviously this is the problem 395 00:20:40,920 --> 00:20:43,480 Speaker 2: because like if he's never been convicted of anything, that 396 00:20:43,520 --> 00:20:48,160 Speaker 2: the hospital hires the guy, they do child background check. 397 00:20:48,600 --> 00:20:51,800 Speaker 2: Like I when I rotated at Children's Hospital when I 398 00:20:51,840 --> 00:20:53,560 Speaker 2: was in PA school, I had to get like a 399 00:20:53,560 --> 00:20:58,840 Speaker 2: criminal background check. Funny story actually, because my program director 400 00:20:59,240 --> 00:21:02,159 Speaker 2: sat a stamn one day and she was like, you 401 00:21:02,200 --> 00:21:04,400 Speaker 2: guys are gonna have to get a criminal background check 402 00:21:05,119 --> 00:21:07,679 Speaker 2: for to go to Children's Hospital. And she's like, so 403 00:21:07,800 --> 00:21:10,120 Speaker 2: before we do it, does anyone have anything they want 404 00:21:10,160 --> 00:21:12,160 Speaker 2: to tell me before they run it? And she looked 405 00:21:12,200 --> 00:21:15,520 Speaker 2: at me, Nicole, do you have anything you want to 406 00:21:15,520 --> 00:21:19,520 Speaker 2: tell me? And I was like, I never been arrested. Meanwhile, 407 00:21:19,560 --> 00:21:23,240 Speaker 2: all the wholesome girls in my class, they like had 408 00:21:23,280 --> 00:21:25,919 Speaker 2: the public drunkenness in college or some shit like that. 409 00:21:26,040 --> 00:21:28,239 Speaker 2: I don't know. It was hilarious though, because we were 410 00:21:28,320 --> 00:21:32,680 Speaker 2: laughing so hard because because like my program director was okay, 411 00:21:32,720 --> 00:21:34,760 Speaker 2: like I was being biased if I had to guess 412 00:21:34,800 --> 00:21:36,639 Speaker 2: anyone in this room that had a criminal record, I 413 00:21:36,640 --> 00:21:39,240 Speaker 2: would think it would have been you. Oh my god, 414 00:21:39,280 --> 00:21:42,960 Speaker 2: I was like thanks, Yeah, it was pretty funny. But anyway, 415 00:21:43,040 --> 00:21:45,000 Speaker 2: like they just do that to see if you were 416 00:21:45,080 --> 00:21:48,359 Speaker 2: arrested or there's anything like that. Like they don't do 417 00:21:50,000 --> 00:21:53,359 Speaker 2: deep searches like this. They would never find this out. 418 00:21:53,920 --> 00:21:55,440 Speaker 3: Well, they would never find this out. But I mean, 419 00:21:55,480 --> 00:21:57,800 Speaker 3: obviously this guy is gonna lose his license at this 420 00:21:57,840 --> 00:21:59,720 Speaker 3: point and never get hired anywhere again. 421 00:22:00,640 --> 00:22:03,639 Speaker 2: Yeah, I mean good, he should actually get his balls 422 00:22:03,640 --> 00:22:06,120 Speaker 2: cut off. I mean, like, f this guy. I hate 423 00:22:06,160 --> 00:22:06,560 Speaker 2: this guy. 424 00:22:07,040 --> 00:22:10,840 Speaker 3: Well, also, the police said he said stomach churning messages 425 00:22:10,880 --> 00:22:13,600 Speaker 3: that were too explicit to share. Think about that. 426 00:22:14,000 --> 00:22:19,600 Speaker 2: Yeah, well, there's like there's like these whole other levels 427 00:22:19,640 --> 00:22:22,400 Speaker 2: of pedophiles. Like first it's like you have the guy, 428 00:22:22,480 --> 00:22:24,800 Speaker 2: the guy that's on roadblox that's just trying to recruit 429 00:22:24,800 --> 00:22:28,359 Speaker 2: a kid, and then the ones that are trying to 430 00:22:28,440 --> 00:22:31,560 Speaker 2: recruit like a mother to give her child up for 431 00:22:31,600 --> 00:22:35,439 Speaker 2: that is like, I don't know why those those ones 432 00:22:35,760 --> 00:22:37,919 Speaker 2: just are even worse to me. I'm I mean, I 433 00:22:37,920 --> 00:22:39,359 Speaker 2: guess there's just they're all bad. 434 00:22:39,880 --> 00:22:41,520 Speaker 3: I don't wonder if we did it on here or 435 00:22:41,560 --> 00:22:43,840 Speaker 3: YouTube live. But remember a couple of weeks ago, we 436 00:22:43,920 --> 00:22:46,159 Speaker 3: just had that story about her mom who was trying 437 00:22:46,160 --> 00:22:49,920 Speaker 3: to sell off her kid. Yeah, I mean there are 438 00:22:50,000 --> 00:22:52,359 Speaker 3: people that do it, No, there there are it. 439 00:22:52,480 --> 00:22:55,320 Speaker 2: I just think that that's the most like when you 440 00:22:55,359 --> 00:22:57,440 Speaker 2: hear that, like as a mother, I'm just like, Oh, 441 00:22:57,480 --> 00:23:00,640 Speaker 2: nobody's ever nobody would ever do that. And I'm like, no, wait, 442 00:23:00,760 --> 00:23:04,600 Speaker 2: people like we'll talk to a stranger online and sell 443 00:23:04,640 --> 00:23:06,840 Speaker 2: their child to an adult male to have sex with 444 00:23:06,920 --> 00:23:09,240 Speaker 2: the Like oh yeah, I just can't even wrap my 445 00:23:09,280 --> 00:23:13,000 Speaker 2: brain around it. It's just so it's just so disturbing. 446 00:23:13,160 --> 00:23:18,600 Speaker 2: And also like, didn't any of these guys ever watch 447 00:23:18,680 --> 00:23:21,440 Speaker 2: To Catch a Predator? Like do you think you actually 448 00:23:21,480 --> 00:23:23,199 Speaker 2: think you're talking to a real person. 449 00:23:24,000 --> 00:23:28,480 Speaker 3: I just think maybe the obsession just blocks out any 450 00:23:28,600 --> 00:23:31,640 Speaker 3: mental clarity, you know what I'm trying to say, Yeah, 451 00:23:31,680 --> 00:23:34,480 Speaker 3: you're right, like you just have such an infatuation, You're 452 00:23:34,520 --> 00:23:37,280 Speaker 3: so obsessed with it that you just are truly in 453 00:23:37,320 --> 00:23:40,840 Speaker 3: denial about getting caught. Even though when did to Catch 454 00:23:40,840 --> 00:23:43,120 Speaker 3: a Predator come about twenty years ago and they were 455 00:23:43,119 --> 00:23:46,160 Speaker 3: on top of this shit with like aim chat rooms. Yeah, 456 00:23:46,160 --> 00:23:48,359 Speaker 3: and now we have even better technology. How do you 457 00:23:48,400 --> 00:23:50,080 Speaker 3: think you're possibly getting away with this? 458 00:23:50,320 --> 00:23:54,119 Speaker 2: Yeah, I don't know, And and like I always I 459 00:23:54,200 --> 00:23:56,639 Speaker 2: really would love to talk to somebody because I know, like, 460 00:23:58,160 --> 00:23:59,840 Speaker 2: well Schlet might do that because I'm not one hundred 461 00:23:59,840 --> 00:24:02,040 Speaker 2: percent I'm sure how he works it, but like I know, 462 00:24:02,119 --> 00:24:06,240 Speaker 2: Chris Hansen is the host of the show, but I 463 00:24:06,240 --> 00:24:10,400 Speaker 2: would like to talk to like a police officer that 464 00:24:10,400 --> 00:24:14,720 Speaker 2: that does that for a living and how they have 465 00:24:14,840 --> 00:24:18,560 Speaker 2: to play along with it and how just you know, 466 00:24:18,800 --> 00:24:22,520 Speaker 2: like imagine seeing like having correspondence with someone that's writing 467 00:24:23,520 --> 00:24:25,960 Speaker 2: disgusting things that they want to do with a child 468 00:24:26,000 --> 00:24:30,720 Speaker 2: and having to like write back and act like you're interested. Well, 469 00:24:30,800 --> 00:24:33,040 Speaker 2: I think it's really really interesting to me. 470 00:24:33,440 --> 00:24:37,040 Speaker 3: I think these undercover stings get criticized too, because they try, 471 00:24:37,160 --> 00:24:39,639 Speaker 3: like people try to say they're like leading a person 472 00:24:39,720 --> 00:24:43,080 Speaker 3: on and it's like entrapment, right. But I'm sorry, but 473 00:24:43,119 --> 00:24:45,919 Speaker 3: if somebody was trying to like prompt me to speak 474 00:24:46,000 --> 00:24:47,879 Speaker 3: like that about a child, I wouldn't do it back 475 00:24:47,920 --> 00:24:51,399 Speaker 3: because I'm not a pedophile, you know what I mean? Like, yeah, people, 476 00:24:51,600 --> 00:24:54,439 Speaker 3: they're catching people that are going to act on it eventually, 477 00:24:54,520 --> 00:24:57,640 Speaker 3: because you can't trick somebody into thinking that. 478 00:24:57,680 --> 00:25:01,439 Speaker 2: Yeah, exactly, like exactly, they're if those sick thoughts in 479 00:25:01,440 --> 00:25:04,160 Speaker 2: your head, Like there's no I mean, it's the same 480 00:25:04,200 --> 00:25:08,800 Speaker 2: theory as like a cop hiding in the woods and 481 00:25:09,160 --> 00:25:12,320 Speaker 2: trying to catch somebody that is driving really fast past them. 482 00:25:13,240 --> 00:25:15,920 Speaker 2: It's like they're not pulling them over because they saw 483 00:25:15,960 --> 00:25:19,240 Speaker 2: them driving fast. They're pulling them over because they kind 484 00:25:19,320 --> 00:25:22,240 Speaker 2: of they caught them when they thought the police weren't 485 00:25:22,280 --> 00:25:25,000 Speaker 2: looking kind of thing. Well, it's the same kind of theory, 486 00:25:25,040 --> 00:25:29,600 Speaker 2: but like you know, I mean, like I don't have 487 00:25:29,680 --> 00:25:32,560 Speaker 2: a problem with it. I wish there were like thousands 488 00:25:32,600 --> 00:25:35,040 Speaker 2: more people doing this and trying to catch all of them. 489 00:25:35,320 --> 00:25:37,040 Speaker 2: It's just so it's so disturbing. 490 00:25:45,480 --> 00:25:47,560 Speaker 3: This episode is brought to you by the Gross Room. 491 00:25:48,000 --> 00:25:50,760 Speaker 2: So we have our sal that we only have a 492 00:25:50,760 --> 00:25:53,080 Speaker 2: few times a year, which is twenty dollars for a 493 00:25:53,240 --> 00:25:56,159 Speaker 2: whole year of gross So you get three hundred and 494 00:25:56,160 --> 00:26:00,480 Speaker 2: sixty five day access to all of our past articles. 495 00:26:00,840 --> 00:26:03,520 Speaker 2: So we're going on year six of the Grosser Room 496 00:26:03,560 --> 00:26:10,720 Speaker 2: almost right, Yeah, So thousands of posts, thousands of videos, photos, 497 00:26:11,000 --> 00:26:14,920 Speaker 2: and this. So every single week we do a high 498 00:26:14,960 --> 00:26:19,040 Speaker 2: profile death dissection or a celebrity death dissection. So last 499 00:26:19,040 --> 00:26:22,240 Speaker 2: week we did Lonnie Anderson and this week we did 500 00:26:22,680 --> 00:26:27,320 Speaker 2: Laken Snelling. So if you recall, she is the cheerleader 501 00:26:27,760 --> 00:26:31,840 Speaker 2: that was going to college and her dead baby infant 502 00:26:32,119 --> 00:26:36,760 Speaker 2: was found in her closet. So we talked about this 503 00:26:36,840 --> 00:26:40,120 Speaker 2: on our Crime con Live episode. There hasn't been too 504 00:26:40,200 --> 00:26:43,800 Speaker 2: much additional information that's come out. However, in the post, 505 00:26:44,000 --> 00:26:48,040 Speaker 2: I write all about what happens when you find a 506 00:26:48,080 --> 00:26:50,840 Speaker 2: baby in this situation. How can we tell if a 507 00:26:50,880 --> 00:26:54,879 Speaker 2: baby was born dead or stillborn, or how can we 508 00:26:54,920 --> 00:26:57,439 Speaker 2: tell that it was alive and different things that we 509 00:26:57,520 --> 00:27:01,360 Speaker 2: go through with the autopsy and the investigation to determine 510 00:27:01,440 --> 00:27:03,600 Speaker 2: exactly what happened in that case. 511 00:27:03,640 --> 00:27:05,720 Speaker 3: So check that out, Yeah, head of it to the 512 00:27:05,720 --> 00:27:10,480 Speaker 3: grossroom dot com now to sign up. All right, let's 513 00:27:10,520 --> 00:27:13,720 Speaker 3: talk about this rare fetus in fetu case. First, can 514 00:27:13,760 --> 00:27:15,560 Speaker 3: you go over what that is in general and then 515 00:27:15,640 --> 00:27:17,160 Speaker 3: what makes this case so special? 516 00:27:18,440 --> 00:27:21,480 Speaker 2: So, fetus in FI two is also a condition called 517 00:27:21,520 --> 00:27:28,679 Speaker 2: a parasitic twin. So sometimes during development, the eggs, can 518 00:27:28,960 --> 00:27:31,040 Speaker 2: you know, they split or they don't split in the 519 00:27:31,119 --> 00:27:32,960 Speaker 2: correct way, and this is how you could end up 520 00:27:33,000 --> 00:27:35,679 Speaker 2: with conjoined twins. And things like that. But in this 521 00:27:35,800 --> 00:27:41,160 Speaker 2: rare case of fetus in fetu there are usually there 522 00:27:41,200 --> 00:27:44,600 Speaker 2: would be an egg that splits and one of them 523 00:27:44,680 --> 00:27:49,440 Speaker 2: gets enveloped by the other one. So as the bigger 524 00:27:49,520 --> 00:27:52,760 Speaker 2: fetus or the healthy fetus is growing, there's this other 525 00:27:52,840 --> 00:27:55,399 Speaker 2: one that's kind of inside of their body that is 526 00:27:55,520 --> 00:27:59,320 Speaker 2: growing at the same time. So typically when these children 527 00:27:59,480 --> 00:28:04,080 Speaker 2: are born, they present with some kind of a mass 528 00:28:04,520 --> 00:28:07,000 Speaker 2: that looks like a tumor almost, and then when they 529 00:28:07,040 --> 00:28:11,320 Speaker 2: do imaging they see actual fetal parts, so it's not 530 00:28:12,359 --> 00:28:15,360 Speaker 2: it's not a it's not an actual twin per se, 531 00:28:15,440 --> 00:28:18,960 Speaker 2: because that twin cannot live without being like a parasite. 532 00:28:18,960 --> 00:28:22,200 Speaker 2: That's why it's called a parasitic twin. And oftentimes they 533 00:28:22,280 --> 00:28:26,280 Speaker 2: look very disorganized, like they'll have an arm and a leg, 534 00:28:26,480 --> 00:28:29,679 Speaker 2: but they'll have some hair and just like random body 535 00:28:29,680 --> 00:28:32,159 Speaker 2: parts that are attached but also are taking from the 536 00:28:32,160 --> 00:28:36,480 Speaker 2: blood supply of the healthy twin, So that that's a 537 00:28:36,600 --> 00:28:40,120 Speaker 2: rare condition in itself. And then this one is even 538 00:28:40,160 --> 00:28:45,440 Speaker 2: more rare because there's two twins inside of one body, 539 00:28:46,240 --> 00:28:50,200 Speaker 2: two parasitic twins. So they said that there's like less 540 00:28:50,240 --> 00:28:54,680 Speaker 2: than forty cases of this reported ever, so it's really 541 00:28:54,680 --> 00:28:55,280 Speaker 2: really cool. 542 00:28:55,680 --> 00:28:59,000 Speaker 3: So essentially, if the eggs had split normally, they would 543 00:28:59,040 --> 00:29:02,440 Speaker 3: have been triplets. What I'm understanding, Yeah, okay. 544 00:29:02,160 --> 00:29:04,120 Speaker 2: So it would have been it would have been a 545 00:29:04,160 --> 00:29:05,320 Speaker 2: triplet pregnancy. 546 00:29:05,720 --> 00:29:07,800 Speaker 3: Okay. So what I wanted to ask though, is did 547 00:29:07,800 --> 00:29:10,360 Speaker 3: they normally catch this this early on? Because wasn't this 548 00:29:10,440 --> 00:29:12,840 Speaker 3: baby only a month old? I feel like most of 549 00:29:12,840 --> 00:29:15,760 Speaker 3: the cases we've covered before have been in older children 550 00:29:15,920 --> 00:29:17,240 Speaker 3: or sometimes adults. 551 00:29:17,640 --> 00:29:22,160 Speaker 2: Well, like I said, it sometimes sometimes it's very obvious, 552 00:29:22,960 --> 00:29:25,200 Speaker 2: other like other times, like I said, like it could 553 00:29:25,200 --> 00:29:28,240 Speaker 2: present as some kind of a tumor. In this case, 554 00:29:28,280 --> 00:29:32,800 Speaker 2: this baby wasn't eating well and was very irritable, and 555 00:29:32,840 --> 00:29:34,880 Speaker 2: when they did the work up, that's when they did 556 00:29:35,000 --> 00:29:37,880 Speaker 2: imaging and they were able to see that there was 557 00:29:38,000 --> 00:29:41,880 Speaker 2: a problem and that there were these two partial fetus 558 00:29:41,920 --> 00:29:46,720 Speaker 2: is growing within this baby's I've demen like it's it's outrageous. 559 00:29:47,000 --> 00:29:50,640 Speaker 2: So they did surgery to remove it, and like that'll 560 00:29:50,680 --> 00:29:52,560 Speaker 2: be the end of it. I mean, just the biggest 561 00:29:52,640 --> 00:29:55,040 Speaker 2: risk in this situation is just doing surgery on a 562 00:29:55,080 --> 00:30:01,640 Speaker 2: baby of that size. But ultimately, like those other partial 563 00:30:01,800 --> 00:30:07,000 Speaker 2: babies are live, so they are sucking off of the 564 00:30:07,040 --> 00:30:10,200 Speaker 2: healthy ones. So it will it can make the healthy 565 00:30:10,800 --> 00:30:14,720 Speaker 2: twin anemic or take nutrients away, so they have to 566 00:30:15,000 --> 00:30:18,600 Speaker 2: they have to get rid of it. But it's like 567 00:30:18,880 --> 00:30:22,440 Speaker 2: they can't separate it and have those twins live as 568 00:30:22,600 --> 00:30:25,680 Speaker 2: as humans because they're just kind of like a haphazard 569 00:30:25,840 --> 00:30:28,360 Speaker 2: like arrangement of a human. They're not like a full human. 570 00:30:29,240 --> 00:30:32,720 Speaker 3: Is this something they could only detect after the baby's 571 00:30:32,760 --> 00:30:34,680 Speaker 3: been born or would they be able to figure this 572 00:30:34,760 --> 00:30:37,760 Speaker 3: out in utero? They could probably figure it out in 573 00:30:37,920 --> 00:30:40,479 Speaker 3: utero for sure, but I guess there's probably nothing they 574 00:30:40,480 --> 00:30:40,840 Speaker 3: could do. 575 00:30:40,800 --> 00:30:44,120 Speaker 2: Really a lot like no, there's no I mean, there's 576 00:30:44,160 --> 00:30:48,560 Speaker 2: nothing that they can do in utero possibly, Like I 577 00:30:48,560 --> 00:30:50,440 Speaker 2: don't think they would attempt to do any kind of 578 00:30:51,200 --> 00:30:56,520 Speaker 2: like like uterine surgery during pregnancy with this case like this, 579 00:30:57,120 --> 00:31:00,120 Speaker 2: I but oftentimes when we hear about it, it's like 580 00:31:00,720 --> 00:31:04,720 Speaker 2: it's in other countries where they're not getting pre needle 581 00:31:04,800 --> 00:31:08,880 Speaker 2: care and things like that, So same is in this case. Right, 582 00:31:09,000 --> 00:31:13,400 Speaker 2: It's just so I'm not exactly sure what they would 583 00:31:13,440 --> 00:31:16,160 Speaker 2: do as far as identifying it. I mean, they might 584 00:31:16,200 --> 00:31:18,960 Speaker 2: identify it on imaging and monitor it and then as 585 00:31:18,960 --> 00:31:20,920 Speaker 2: soon as the baby's born, like they would have to 586 00:31:20,960 --> 00:31:22,120 Speaker 2: do something about it. 587 00:31:23,520 --> 00:31:27,280 Speaker 3: Okay, As of September first, gel nail polish containing a 588 00:31:27,320 --> 00:31:29,840 Speaker 3: shatin ingredient has been banned throughout Europe. 589 00:31:30,200 --> 00:31:32,120 Speaker 2: So what is going on here? 590 00:31:32,160 --> 00:31:34,200 Speaker 3: Because I get gel Mann here's all the time, and 591 00:31:34,240 --> 00:31:37,760 Speaker 3: now I'm kind of freaking out. So I think that 592 00:31:38,640 --> 00:31:42,320 Speaker 3: I think that it was banned because in studies in animals, 593 00:31:42,360 --> 00:31:46,320 Speaker 3: it shows that it could cause infertility. This particular chemical 594 00:31:46,400 --> 00:31:50,280 Speaker 3: that is responsible for hardening the gel nail polish underneath. 595 00:31:49,760 --> 00:31:54,400 Speaker 2: Of the UV light. But the studies that have been 596 00:31:54,440 --> 00:31:57,560 Speaker 2: done have been on like higher volumes of this chemical 597 00:31:57,680 --> 00:32:04,280 Speaker 2: with rats, and they're saying, like anyone that was interviewed 598 00:32:04,320 --> 00:32:09,640 Speaker 2: about it here are saying that that particular chemical is 599 00:32:09,720 --> 00:32:14,200 Speaker 2: not in a very small amount, isn't dangerous, and there's 600 00:32:14,280 --> 00:32:18,600 Speaker 2: really been no human studies linked to it causing infertility, 601 00:32:19,600 --> 00:32:24,000 Speaker 2: and it's in males, not females and males. So furthermore, 602 00:32:24,720 --> 00:32:28,840 Speaker 2: some of the scientists that were interviewed said that once 603 00:32:29,160 --> 00:32:34,680 Speaker 2: that chemical is cured, then it's no longer considered toxic 604 00:32:34,760 --> 00:32:38,080 Speaker 2: to a human. So really the only exposure that you 605 00:32:38,120 --> 00:32:41,200 Speaker 2: would ever have with it would be if it got 606 00:32:41,240 --> 00:32:43,480 Speaker 2: on the sides of your skin or something during that 607 00:32:43,680 --> 00:32:48,160 Speaker 2: minute that it doesn't while it's wet and it's not curing, Okay, 608 00:32:48,400 --> 00:32:52,240 Speaker 2: So I mean I think that we always have to 609 00:32:52,280 --> 00:32:58,320 Speaker 2: take it seriously when certain things are being banned, because 610 00:32:59,080 --> 00:33:02,560 Speaker 2: oftentimes they end up being an issue. Like I don't 611 00:33:02,560 --> 00:33:05,480 Speaker 2: know if you recall, like the red dye forty has 612 00:33:05,520 --> 00:33:07,600 Speaker 2: been banned in Europe for a long time and now 613 00:33:07,760 --> 00:33:10,480 Speaker 2: we're finally banning it and getting along with that because 614 00:33:10,520 --> 00:33:14,200 Speaker 2: of all the problems that we've known that it's causing. 615 00:33:14,640 --> 00:33:17,800 Speaker 2: There's a lot of things that are banned in cosmetics 616 00:33:17,800 --> 00:33:22,400 Speaker 2: in Europe that aren't banned here, so they're probably more 617 00:33:22,480 --> 00:33:26,680 Speaker 2: forward in like they're thinking as far as not having things, 618 00:33:27,240 --> 00:33:31,280 Speaker 2: and there's other chemicals they could use. So for them 619 00:33:31,560 --> 00:33:33,440 Speaker 2: to ban it, I don't think it's that big of 620 00:33:33,480 --> 00:33:36,920 Speaker 2: a deal because they could just replace it with something else, 621 00:33:36,960 --> 00:33:41,120 Speaker 2: and they're just trying to encourage companies to make safer products. 622 00:33:41,160 --> 00:33:43,640 Speaker 2: I don't think that there's I don't have a problem 623 00:33:43,680 --> 00:33:45,960 Speaker 2: with that, And just because there's not studies done on 624 00:33:46,120 --> 00:33:49,080 Speaker 2: humans doesn't mean that it doesn't have any kind of effect. 625 00:33:49,880 --> 00:33:54,840 Speaker 2: There's there's definitely other things to take into consideration when 626 00:33:54,880 --> 00:33:58,320 Speaker 2: getting a manicure or your nail's done. A lot of 627 00:33:58,760 --> 00:34:02,240 Speaker 2: dermatologists will say that the gel nails are causing people 628 00:34:02,320 --> 00:34:06,560 Speaker 2: to have breakouts and rashes on their face and different 629 00:34:06,640 --> 00:34:09,640 Speaker 2: kinds of azimas and things like that, and also just 630 00:34:10,880 --> 00:34:15,400 Speaker 2: there's exposures with infections at places like that, especially if 631 00:34:15,440 --> 00:34:19,279 Speaker 2: they're not doing the proper precautions. I mean, that's why 632 00:34:19,280 --> 00:34:21,040 Speaker 2: you have to be licensed to do it, because you 633 00:34:21,080 --> 00:34:25,160 Speaker 2: can spread viral diseases back and forth between each other 634 00:34:25,320 --> 00:34:27,960 Speaker 2: warts and things like that. And then of course the 635 00:34:28,080 --> 00:34:33,040 Speaker 2: UV light is dangerous. It's like a tanning booth, and 636 00:34:33,239 --> 00:34:36,720 Speaker 2: you're honestly supposed to put like sunscreen on your hands 637 00:34:36,719 --> 00:34:38,160 Speaker 2: before you get your nails done. 638 00:34:38,320 --> 00:34:41,319 Speaker 3: I don't understand, Like, if they're already putting lotion and 639 00:34:41,400 --> 00:34:43,960 Speaker 3: everything on your hands during the manicure, why can't they 640 00:34:44,000 --> 00:34:45,480 Speaker 3: just put sunscrew they should? 641 00:34:45,680 --> 00:34:48,480 Speaker 2: That would be like I mean, maybe it's just the 642 00:34:48,520 --> 00:34:50,400 Speaker 2: thing someone could carry in their purse and bring with 643 00:34:50,440 --> 00:34:53,120 Speaker 2: them when they get their nails done. Because even though 644 00:34:53,160 --> 00:34:55,600 Speaker 2: you're only under there for one or two minutes at 645 00:34:55,640 --> 00:34:59,800 Speaker 2: a time, you're doing that twice a month for years 646 00:34:59,800 --> 00:35:03,680 Speaker 2: of your life. Listen, like they're using toxic chemicals on you. 647 00:35:03,960 --> 00:35:06,000 Speaker 2: There used to be a time where now polished. Before 648 00:35:06,000 --> 00:35:08,600 Speaker 2: we had this gel nail polish always had formaldehyde in it, 649 00:35:08,680 --> 00:35:10,799 Speaker 2: and then they were like, oh, that's probably not good 650 00:35:10,840 --> 00:35:13,799 Speaker 2: to put you know, it's a carcinogen, so we need 651 00:35:13,840 --> 00:35:16,840 Speaker 2: to take that out and now polish and as we learn, 652 00:35:17,560 --> 00:35:20,000 Speaker 2: so all of the chemists that have been interviewed for 653 00:35:20,080 --> 00:35:22,640 Speaker 2: this particular story don't think it's that big of a deal, 654 00:35:22,719 --> 00:35:25,480 Speaker 2: but we could see it be a bigger deal in 655 00:35:25,520 --> 00:35:30,560 Speaker 2: the future. And also it's saying infertility in males. I 656 00:35:30,600 --> 00:35:36,400 Speaker 2: don't know how many men are going and getting gel manicures. 657 00:35:36,560 --> 00:35:39,280 Speaker 2: I mean, what there are, but it's definitely not anywhere 658 00:35:39,280 --> 00:35:41,719 Speaker 2: near as many as women are. So I'm not. 659 00:35:41,680 --> 00:35:43,839 Speaker 3: Thinking about men getting it. I'm thinking about the men 660 00:35:44,000 --> 00:35:47,040 Speaker 3: putting it on well, cause a lot of guys work 661 00:35:47,080 --> 00:35:47,960 Speaker 3: in nail salons. 662 00:35:48,320 --> 00:35:50,600 Speaker 2: Yeah, And I guess the point is, though, is that 663 00:35:52,120 --> 00:35:54,040 Speaker 2: at least in this article, they were saying that you 664 00:35:54,040 --> 00:35:56,760 Speaker 2: would have to have contact with the skin, it wouldn't 665 00:35:56,800 --> 00:36:01,040 Speaker 2: just be from the fumes of it. So I mean, 666 00:36:01,440 --> 00:36:03,359 Speaker 2: in theory, you shouldn't really be getting it on your 667 00:36:03,360 --> 00:36:05,879 Speaker 2: skin that much if you're you know. 668 00:36:06,400 --> 00:36:09,640 Speaker 3: Well, if buying it, well, that's not true. Because think 669 00:36:09,680 --> 00:36:11,719 Speaker 3: about if they paint over by accident and then they 670 00:36:11,800 --> 00:36:13,880 Speaker 3: usually take their finger if they're not wearing gloves. 671 00:36:13,920 --> 00:36:17,120 Speaker 2: Yeah, they do. No, they do, I know, And it's 672 00:36:17,640 --> 00:36:20,080 Speaker 2: I just don't. I don't really, I don't really know. 673 00:36:20,200 --> 00:36:25,279 Speaker 2: Like it's the thing is is that even though a 674 00:36:25,360 --> 00:36:30,000 Speaker 2: rat is a mammal, they have different pathways and different 675 00:36:30,280 --> 00:36:33,399 Speaker 2: they just have different anatomy physiology than a human does. 676 00:36:33,920 --> 00:36:37,759 Speaker 2: So until their studies done in actual humans, that it's 677 00:36:37,800 --> 00:36:40,399 Speaker 2: causing a problem. I think that it's a little bit 678 00:36:40,440 --> 00:36:44,839 Speaker 2: hard to say. This happened with like Sweet and Low 679 00:36:44,960 --> 00:36:47,399 Speaker 2: back in the day that that was like a big thing, 680 00:36:47,480 --> 00:36:50,000 Speaker 2: like it caused cancer and lab rats and things like that, 681 00:36:50,120 --> 00:36:54,120 Speaker 2: and it's still on the market, right, Like yeah, so 682 00:36:54,480 --> 00:36:57,680 Speaker 2: you just have to really like things have to be 683 00:36:58,280 --> 00:37:01,120 Speaker 2: I think it's good that it pops up in the 684 00:37:01,200 --> 00:37:03,239 Speaker 2: animal studies and then you could be like, Okay, this 685 00:37:03,320 --> 00:37:05,719 Speaker 2: is something we need to look into, so now we 686 00:37:05,760 --> 00:37:07,640 Speaker 2: need to test it in humans. But like as of 687 00:37:07,760 --> 00:37:10,960 Speaker 2: right now that that doesn't exist. 688 00:37:11,000 --> 00:37:16,360 Speaker 3: So yeah, I mean, hopefully it just like doesn't become 689 00:37:16,400 --> 00:37:18,839 Speaker 3: this greater thing. But I think the United States could 690 00:37:18,840 --> 00:37:21,719 Speaker 3: maybe take tips from other countries and actually do the 691 00:37:21,840 --> 00:37:24,799 Speaker 3: research because as we see with the red dye and 692 00:37:24,840 --> 00:37:28,680 Speaker 3: everything like that, there are problematic ingredients or chemicals and 693 00:37:29,040 --> 00:37:29,480 Speaker 3: a lot of. 694 00:37:29,400 --> 00:37:33,080 Speaker 2: Stuff we use, and like the nail thing is a 695 00:37:33,200 --> 00:37:39,080 Speaker 2: huge problem because so especially for women of childbearing age, 696 00:37:40,040 --> 00:37:44,200 Speaker 2: if you're talking about fertility issues, that's like something that 697 00:37:44,239 --> 00:37:47,719 Speaker 2: we should know. I just think in general, we're having 698 00:37:47,760 --> 00:37:50,279 Speaker 2: such a bad fertility problem in this country, and we 699 00:37:50,400 --> 00:37:53,440 Speaker 2: need to, like, instead of making pregnancy robots and like 700 00:37:53,960 --> 00:37:56,880 Speaker 2: these weird things, like, maybe take the money and research 701 00:37:57,400 --> 00:37:59,680 Speaker 2: what's going on. I think it's obvious we have a 702 00:37:59,719 --> 00:38:02,120 Speaker 2: lot of of you know, chemicals and our clothing and 703 00:38:02,160 --> 00:38:05,000 Speaker 2: our foods and the products we're using every day. But 704 00:38:05,120 --> 00:38:08,120 Speaker 2: I'd like to see people actually putting energy into figuring 705 00:38:08,160 --> 00:38:12,120 Speaker 2: that out. I really wonder what the I mean, like, 706 00:38:13,239 --> 00:38:16,680 Speaker 2: I wonder what the true the truth is behind the 707 00:38:16,719 --> 00:38:20,200 Speaker 2: fertility situation, because there's a lot of factors to consider, 708 00:38:21,200 --> 00:38:27,720 Speaker 2: and one being like back in the day, it wasn't 709 00:38:27,760 --> 00:38:31,040 Speaker 2: talked about as much, right, So that's so that's a 710 00:38:31,080 --> 00:38:33,759 Speaker 2: whole thing. There's plenty of women that just like never 711 00:38:33,880 --> 00:38:36,759 Speaker 2: grew up to have children because they couldn't and it 712 00:38:36,920 --> 00:38:40,719 Speaker 2: just was like they might not have been a statistic 713 00:38:40,840 --> 00:38:46,520 Speaker 2: back then, and also just I do think a lot 714 00:38:46,560 --> 00:38:48,560 Speaker 2: of it is just because what do they say now, 715 00:38:48,600 --> 00:38:50,680 Speaker 2: like if you can't have a baby in one year, 716 00:38:50,800 --> 00:38:52,520 Speaker 2: you should start the fertility treatment. 717 00:38:53,160 --> 00:38:55,040 Speaker 3: Well, it depends on your age. I think if you're 718 00:38:55,120 --> 00:38:57,480 Speaker 3: under thirty five, they want you to wait a year, 719 00:38:57,760 --> 00:38:59,799 Speaker 3: and then if you're over thirty five it's six. 720 00:39:00,960 --> 00:39:05,880 Speaker 2: Yeah. Like that's so if you talk to someone like 721 00:39:05,880 --> 00:39:08,839 Speaker 2: like momm for example, who's been open that she had 722 00:39:08,920 --> 00:39:11,520 Speaker 2: troubles in the first couple of years of marriage, Like 723 00:39:13,520 --> 00:39:15,799 Speaker 2: if she was if her and pop Up were trying 724 00:39:15,800 --> 00:39:18,160 Speaker 2: to have a baby now in twenty twenty five, she 725 00:39:18,200 --> 00:39:20,879 Speaker 2: would have already been through, like in the couple years 726 00:39:20,920 --> 00:39:23,480 Speaker 2: it took her to get pregnant, she would have been 727 00:39:23,520 --> 00:39:28,440 Speaker 2: through fertility treatments and everything and and IVF already, like 728 00:39:28,480 --> 00:39:31,960 Speaker 2: because it took her well not solid three years, not 729 00:39:32,000 --> 00:39:34,560 Speaker 2: necessarily IVF, because they would have tested her and seen 730 00:39:34,640 --> 00:39:37,520 Speaker 2: what the problem was and then it might have she 731 00:39:37,640 --> 00:39:41,120 Speaker 2: just might have needed yeah or something, yeah, whatever, but 732 00:39:41,320 --> 00:39:43,920 Speaker 2: like she would have had fertility treatment and been considered 733 00:39:43,920 --> 00:39:48,840 Speaker 2: to have a fertility problem, and she just she just 734 00:39:48,920 --> 00:39:51,440 Speaker 2: waited because she had to wait. There was no intervention 735 00:39:51,560 --> 00:39:54,680 Speaker 2: at the time, and it took her three or four 736 00:39:54,760 --> 00:39:57,960 Speaker 2: years to get pregnant, and then she she had three kids, 737 00:39:58,440 --> 00:40:01,839 Speaker 2: so that they just wouldn't let you go that long 738 00:40:01,920 --> 00:40:03,879 Speaker 2: kind of you know back then. 739 00:40:04,200 --> 00:40:08,080 Speaker 3: Well yeah, but yeah, the science was I think what 740 00:40:08,280 --> 00:40:11,759 Speaker 3: was the first IVF baby born in nineteen seventy nine. 741 00:40:11,800 --> 00:40:14,040 Speaker 3: That was the same year you were born. So yeah, 742 00:40:14,200 --> 00:40:17,440 Speaker 3: that was revolutionary science back then. It wasn't in it 743 00:40:17,800 --> 00:40:19,680 Speaker 3: everyday practice like it is today. 744 00:40:19,760 --> 00:40:23,640 Speaker 2: So and then you have to take into consideration too 745 00:40:23,719 --> 00:40:30,839 Speaker 2: that if a woman's infertile then and it's getting IVF now, 746 00:40:30,880 --> 00:40:34,560 Speaker 2: you have a whole generations of people that are trying 747 00:40:34,560 --> 00:40:37,480 Speaker 2: to have babies now that are IVF babies themselves. And 748 00:40:37,520 --> 00:40:41,400 Speaker 2: maybe there's a genetic component of that as well. Yeah, 749 00:40:41,600 --> 00:40:45,880 Speaker 2: so I mean that's another thing to consider. So, I mean, obviously, 750 00:40:45,920 --> 00:40:49,080 Speaker 2: and the foods are just I just think it's a 751 00:40:49,080 --> 00:40:51,160 Speaker 2: combination of a lot of different things. It's hard to 752 00:40:51,160 --> 00:40:53,080 Speaker 2: pinpoint it on like one thing, you know. 753 00:40:53,680 --> 00:40:56,239 Speaker 3: Yeah, all right, before we wrap up, I just want 754 00:40:56,239 --> 00:40:58,719 Speaker 3: to say happy third wedding anniversary to my husband. I 755 00:40:58,760 --> 00:41:00,640 Speaker 3: love you very much. It's been a day three years, 756 00:41:00,640 --> 00:41:03,319 Speaker 3: even though we've been together for almost ten but it's 757 00:41:03,360 --> 00:41:04,280 Speaker 3: literally not got. 758 00:41:04,200 --> 00:41:05,360 Speaker 2: For him a birthday present. 759 00:41:06,000 --> 00:41:09,719 Speaker 3: Its last week. Well I haven't seen him. I could 760 00:41:09,719 --> 00:41:11,759 Speaker 3: get away with it for a couple of days. You can, 761 00:41:11,840 --> 00:41:14,279 Speaker 3: and he doesn't listen to this. I'm sure somebody will 762 00:41:14,360 --> 00:41:17,000 Speaker 3: rat us out, but I don't know. You know, he's 763 00:41:17,040 --> 00:41:18,920 Speaker 3: easy and you probably don't have to get him anything 764 00:41:18,920 --> 00:41:20,759 Speaker 3: at all. He doesn't, you know, now, I know, I 765 00:41:20,840 --> 00:41:22,920 Speaker 3: just like to get he's He's easy to buy for it. 766 00:41:22,920 --> 00:41:24,839 Speaker 3: That's why I like buying him presents because I don't 767 00:41:24,840 --> 00:41:26,279 Speaker 3: have to think that much. But I could get him 768 00:41:26,320 --> 00:41:29,080 Speaker 3: something cool. I know. His birthday was on Saturday when 769 00:41:29,120 --> 00:41:31,000 Speaker 3: we were in Denver, and I was like, he was 770 00:41:31,320 --> 00:41:33,920 Speaker 3: at the cabin, which doesn't have really good service. So 771 00:41:34,000 --> 00:41:35,919 Speaker 3: I just felt so guilty because I'm like, I feel 772 00:41:35,960 --> 00:41:37,399 Speaker 3: like I need to talk to him on the phone. 773 00:41:37,440 --> 00:41:38,280 Speaker 2: It's his birthday. 774 00:41:38,600 --> 00:41:40,319 Speaker 3: And you were like, he probably doesn't care at all. 775 00:41:41,680 --> 00:41:44,840 Speaker 2: Guys. He's not like sitting in the corner crying over you. 776 00:41:44,960 --> 00:41:47,080 Speaker 2: He was with his guy friends like he was fine. 777 00:41:47,120 --> 00:41:50,520 Speaker 3: He was. I told Joseph Scott Morgan was like, Oh, 778 00:41:50,719 --> 00:41:53,000 Speaker 3: where's your husband. I was like, he's probably having the 779 00:41:53,040 --> 00:41:57,920 Speaker 3: best birthday ever because I'm not nagging him. Okay, guys, 780 00:41:58,000 --> 00:42:00,640 Speaker 3: on October third, we are going to be at Cheryl 781 00:42:00,760 --> 00:42:04,960 Speaker 3: McCollum's Wildlife CSI at Lake Tobias Wildlife Park. It is 782 00:42:05,520 --> 00:42:07,760 Speaker 3: I think about an hour and a half outside of Philly, 783 00:42:07,800 --> 00:42:10,719 Speaker 3: about an hour away from Hershey and Lancaster. And then 784 00:42:10,840 --> 00:42:13,000 Speaker 3: on October eighteenth, we are going to be doing a 785 00:42:13,040 --> 00:42:16,600 Speaker 3: live Mother nos Death episode at Darkside, New Jersey in Edison. 786 00:42:17,080 --> 00:42:20,080 Speaker 2: Awesome. See you guys there, see you guys there. 787 00:42:20,239 --> 00:42:22,879 Speaker 3: Please leave us reviews on Apple or Spotify, head over 788 00:42:22,960 --> 00:42:25,520 Speaker 3: to our YouTube channel and subscribe, and if you have 789 00:42:25,560 --> 00:42:28,399 Speaker 3: a story for us, please send to stories at Mothernosdeath 790 00:42:28,440 --> 00:42:29,120 Speaker 3: dot com. 791 00:42:29,239 --> 00:42:36,839 Speaker 2: Saya thank you for listening to Mother Noos Death. As 792 00:42:36,880 --> 00:42:41,239 Speaker 2: a reminder, my training is as a pathologist assistant. I 793 00:42:41,280 --> 00:42:44,680 Speaker 2: have a master's level education and specialize in anatomy and 794 00:42:44,719 --> 00:42:48,359 Speaker 2: pathology education. I am not a doctor and I have 795 00:42:48,400 --> 00:42:52,160 Speaker 2: not diagnosed or treated anyone dead or alive without the 796 00:42:52,200 --> 00:42:57,560 Speaker 2: assistance of a licensed medical doctor. This show, my website, 797 00:42:57,600 --> 00:43:00,960 Speaker 2: and social media accounts are designed to educate and inform 798 00:43:01,000 --> 00:43:05,239 Speaker 2: people based on my experience working in pathology, so they 799 00:43:05,280 --> 00:43:08,680 Speaker 2: can make healthier decisions regarding their life and well being. 800 00:43:09,800 --> 00:43:12,680 Speaker 2: Always remember that science is changing every day. And the 801 00:43:12,719 --> 00:43:16,040 Speaker 2: opinions expressed in this episode are based on my knowledge 802 00:43:16,040 --> 00:43:19,680 Speaker 2: of those subjects at the time of publication. If you 803 00:43:19,760 --> 00:43:23,640 Speaker 2: are having a medical problem, have a medical question, or 804 00:43:23,800 --> 00:43:28,040 Speaker 2: having a medical emergency, please contact your physician or visit 805 00:43:28,120 --> 00:43:33,400 Speaker 2: an urgent care center, emergency room, or hospital. Please rate, review, 806 00:43:33,520 --> 00:43:37,920 Speaker 2: and subscribe to Mother Knows Death on Apple, Spotify, YouTube, 807 00:43:38,160 --> 00:43:39,719 Speaker 2: or anywhere you get podcasts. 808 00:43:40,239 --> 00:43:46,080 Speaker 3: Thanks