1 00:00:08,039 --> 00:00:14,080 Speaker 1: Mother Knows Dad starring Nicole and Jemmy and Maria qk. 2 00:00:20,880 --> 00:00:21,079 Speaker 2: Hi. 3 00:00:21,160 --> 00:00:24,040 Speaker 1: Everyone welcome The Mother Knows Death. It was Easter a 4 00:00:24,079 --> 00:00:26,920 Speaker 1: couple days ago, and we have not one, but two 5 00:00:27,000 --> 00:00:30,680 Speaker 1: stories involving death and Easter egg hunts. We have the 6 00:00:30,760 --> 00:00:34,279 Speaker 1: latest with the Nancy Guthrie kidnapping, an update on a 7 00:00:34,400 --> 00:00:37,479 Speaker 1: story we brought you last week about Perez Hilton, and 8 00:00:37,560 --> 00:00:40,239 Speaker 1: a case coming out of New York City involving a 9 00:00:40,360 --> 00:00:43,400 Speaker 1: luxury birthing center and a woman who claims she brought 10 00:00:43,479 --> 00:00:47,360 Speaker 1: something home besides her new baby. We'll finish up with 11 00:00:47,400 --> 00:00:52,479 Speaker 1: your questions and comments. All that and more on today's episode. Okay, 12 00:00:52,520 --> 00:00:55,760 Speaker 1: so there's been another update on Nancy Guthrie. 13 00:00:56,040 --> 00:00:59,320 Speaker 2: Well, Savannah Guthrie returned to The Today Show yesterday and 14 00:00:59,360 --> 00:01:02,680 Speaker 2: then convene. A new ransom note just happened to drop 15 00:01:02,720 --> 00:01:03,280 Speaker 2: to TMZ. 16 00:01:03,520 --> 00:01:08,760 Speaker 1: Right, yeah, so this one. So Ashley Banfield is saying 17 00:01:08,800 --> 00:01:12,240 Speaker 1: that this new note, the FBI is saying that they 18 00:01:12,280 --> 00:01:14,400 Speaker 1: believe some of these notes are real. 19 00:01:15,280 --> 00:01:18,120 Speaker 2: Well, there's been speculation about that along the way, and 20 00:01:18,160 --> 00:01:20,880 Speaker 2: I saw commentary from a woman that used to work 21 00:01:20,880 --> 00:01:24,480 Speaker 2: in the CIA also that said technically the FBI needs 22 00:01:24,520 --> 00:01:28,280 Speaker 2: to treat all of them as credible until proven otherwise, 23 00:01:28,319 --> 00:01:30,600 Speaker 2: because you really just don't know. And obviously these are 24 00:01:30,640 --> 00:01:33,240 Speaker 2: really hard to track because of the routes in which 25 00:01:33,240 --> 00:01:35,480 Speaker 2: people are going about it. I mean, they're requesting the 26 00:01:35,560 --> 00:01:38,039 Speaker 2: money via bitcoin accounts, which are hard to tract. They're 27 00:01:38,080 --> 00:01:41,399 Speaker 2: most likely using VPNs or encrypted chats or whatever. But 28 00:01:42,000 --> 00:01:44,080 Speaker 2: this person seemed to say that, no matter what, the 29 00:01:44,200 --> 00:01:46,920 Speaker 2: FBI was able at some point, whether it took a 30 00:01:46,959 --> 00:01:49,280 Speaker 2: couple minutes or a couple months to get back to 31 00:01:49,320 --> 00:01:51,760 Speaker 2: who it was in the first place. But this note 32 00:01:51,760 --> 00:01:55,200 Speaker 2: in particular is weird because they're claiming that they saw 33 00:01:55,320 --> 00:01:57,960 Speaker 2: Nancy alive in Mexico at some point and they now 34 00:01:58,000 --> 00:02:00,520 Speaker 2: say she's dead. They claim to know all the information 35 00:02:00,560 --> 00:02:03,960 Speaker 2: about the kidnappers, and they criticize the FBI for not 36 00:02:04,080 --> 00:02:07,240 Speaker 2: taking the other one seriously. I think the weirdest thing 37 00:02:07,320 --> 00:02:11,000 Speaker 2: about this note, however, is there only asking for half 38 00:02:11,040 --> 00:02:14,040 Speaker 2: of a bitcoin, which is about thirty four thousand dollars. 39 00:02:15,000 --> 00:02:17,160 Speaker 2: But the Guthries have said they're willing to pay a 40 00:02:17,200 --> 00:02:18,320 Speaker 2: million dollars only. 41 00:02:18,240 --> 00:02:20,120 Speaker 1: A few weeks ago, So why are you asking for 42 00:02:20,160 --> 00:02:24,920 Speaker 1: so little? I think the plan is, if this is 43 00:02:24,960 --> 00:02:28,040 Speaker 1: all true, is that this person wants to just get 44 00:02:28,880 --> 00:02:35,400 Speaker 1: bitcoin and be completely undetected. I mean, listen, think about this. 45 00:02:36,040 --> 00:02:38,840 Speaker 1: The only person that's going to come for this reward 46 00:02:39,080 --> 00:02:42,920 Speaker 1: is somebody that is not involved in this case at all, 47 00:02:43,040 --> 00:02:47,040 Speaker 1: that doesn't really have anything in the game, Like it's 48 00:02:47,040 --> 00:02:51,240 Speaker 1: not going to be Let's say, for example, a woman 49 00:02:51,760 --> 00:02:54,920 Speaker 1: knows that her son kidnapped her, Like, she's not going 50 00:02:55,000 --> 00:02:58,120 Speaker 1: to go and try to go get this reward because 51 00:02:58,160 --> 00:03:01,680 Speaker 1: that is all traced back. And I guess the whole 52 00:03:01,680 --> 00:03:04,440 Speaker 1: point with the bitcoin is they want to get some 53 00:03:04,639 --> 00:03:07,320 Speaker 1: money out of it and just they think that they 54 00:03:07,360 --> 00:03:10,560 Speaker 1: could be completely undetected and not because like once you 55 00:03:10,680 --> 00:03:14,000 Speaker 1: go to the FBI or to Savannah and try to 56 00:03:14,040 --> 00:03:18,640 Speaker 1: get this huge reward, they're going to be like tracing 57 00:03:18,680 --> 00:03:21,040 Speaker 1: you and following you, and you might get in trouble 58 00:03:21,080 --> 00:03:23,560 Speaker 1: for not saying anything, like why would anybody do that? 59 00:03:23,919 --> 00:03:26,160 Speaker 2: No, I understand that, but don't you also find it 60 00:03:26,200 --> 00:03:30,240 Speaker 2: a red flag that they were criticizing the FBI, Like 61 00:03:30,560 --> 00:03:33,200 Speaker 2: aren't the FBI not the leads on this case still 62 00:03:33,200 --> 00:03:37,320 Speaker 2: the Pima Sheriff County is who is the head of 63 00:03:37,360 --> 00:03:40,640 Speaker 2: this investigation, So, like I thought that was a weird tidbit, 64 00:03:40,720 --> 00:03:43,400 Speaker 2: like it's somebody that's not really in the know and 65 00:03:43,440 --> 00:03:45,960 Speaker 2: they just threw it out there to see what would happen. 66 00:03:46,920 --> 00:03:50,320 Speaker 1: Well, I think if it comes to the letters though, 67 00:03:50,440 --> 00:03:53,800 Speaker 1: like that's an FBI thing, I understand that. 68 00:03:53,920 --> 00:03:56,880 Speaker 2: I just think that they're criticizing them in particular, not 69 00:03:56,960 --> 00:03:59,600 Speaker 2: the whole operation, just from the tidbits I saw, and 70 00:03:59,680 --> 00:04:02,880 Speaker 2: it's all like, you know, people are criticizing TMZ, why 71 00:04:02,880 --> 00:04:05,560 Speaker 2: are you putting these notes out? Of course, this note 72 00:04:05,600 --> 00:04:07,400 Speaker 2: comes out the day she's trying to go back to 73 00:04:07,440 --> 00:04:09,880 Speaker 2: her normal life. I guess in theory her life is 74 00:04:09,880 --> 00:04:11,800 Speaker 2: never going to be normal again, right, But she's trying 75 00:04:11,800 --> 00:04:14,120 Speaker 2: to go back to some semblance of a routine and 76 00:04:14,160 --> 00:04:17,560 Speaker 2: normalcy and everything, and then all of a sudden she's 77 00:04:17,839 --> 00:04:20,000 Speaker 2: on TV that morning trying to just do her job, 78 00:04:20,080 --> 00:04:22,279 Speaker 2: and then a new note drops. I mean, I feel like, 79 00:04:22,920 --> 00:04:26,680 Speaker 2: even if this note is real or not, you have 80 00:04:26,760 --> 00:04:29,520 Speaker 2: these bad faith actors working behind the scenes that just 81 00:04:29,560 --> 00:04:31,800 Speaker 2: want to terrorize them for no reason, and that's just 82 00:04:31,839 --> 00:04:32,800 Speaker 2: gonna keep happening. 83 00:04:33,680 --> 00:04:37,160 Speaker 1: I do think it's a little soon for her to 84 00:04:37,240 --> 00:04:39,040 Speaker 1: be going back to work, To be honest with you, 85 00:04:39,120 --> 00:04:41,360 Speaker 1: I know that people grieve in different ways, and it's 86 00:04:41,400 --> 00:04:45,920 Speaker 1: probably she's probably gotten advice that it's better for her 87 00:04:45,960 --> 00:04:48,680 Speaker 1: mentally to try to get back into the normal routine 88 00:04:48,680 --> 00:04:52,560 Speaker 1: of her life. But because it's so unsolved, and I 89 00:04:52,600 --> 00:04:56,920 Speaker 1: mean she just had that interview with how to the 90 00:04:57,440 --> 00:05:01,360 Speaker 1: horrible interview she had with her SOA. It was so annoying, 91 00:05:01,720 --> 00:05:08,200 Speaker 1: but she seemed like really distraught. Obviously she would be. 92 00:05:08,880 --> 00:05:13,040 Speaker 1: And there's no nothing is different than the night that 93 00:05:13,560 --> 00:05:17,200 Speaker 1: she found out, Right, there's nothing resolved at all, So 94 00:05:18,240 --> 00:05:21,680 Speaker 1: anytime something happens, it's going to come up and be raw, 95 00:05:21,760 --> 00:05:25,039 Speaker 1: Like how is she really going to be returning to 96 00:05:25,160 --> 00:05:28,360 Speaker 1: work if they're doing searches and arresting people? Still, it's 97 00:05:28,400 --> 00:05:29,920 Speaker 1: just too raw, you know. 98 00:05:30,360 --> 00:05:33,040 Speaker 2: Yeah, I mean how could she even report on other 99 00:05:33,240 --> 00:05:36,119 Speaker 2: true crime cases without the I mean, her mother's case 100 00:05:36,200 --> 00:05:40,039 Speaker 2: is truly most likely going to be the highest profile 101 00:05:40,120 --> 00:05:43,200 Speaker 2: true crime case of this year, right, and think about 102 00:05:43,240 --> 00:05:44,800 Speaker 2: all the other cases that are going to come up 103 00:05:44,800 --> 00:05:46,920 Speaker 2: that she has to cover on the Today Show and 104 00:05:46,960 --> 00:05:49,800 Speaker 2: not relive this horrific moment her family has just gone 105 00:05:49,839 --> 00:05:52,440 Speaker 2: through over and over and over again. I mean, maybe 106 00:05:52,480 --> 00:05:55,640 Speaker 2: contractually she had to come back. We don't really know 107 00:05:55,720 --> 00:05:57,880 Speaker 2: what was going on. Behind the scenes. Obviously that would 108 00:05:57,920 --> 00:06:01,000 Speaker 2: make NBC seem like massive assholes if they made her 109 00:06:01,080 --> 00:06:04,040 Speaker 2: come back, which he's also getting paid a lot of money, 110 00:06:04,080 --> 00:06:07,279 Speaker 2: so we don't really know what's going on behind the scenes. 111 00:06:07,560 --> 00:06:11,159 Speaker 2: The got threes also might know more information that is 112 00:06:11,200 --> 00:06:14,839 Speaker 2: not public yet where she's able to kind of I 113 00:06:14,839 --> 00:06:16,800 Speaker 2: don't want to say this in an insensitive way, but 114 00:06:16,880 --> 00:06:18,920 Speaker 2: like move on right, like they have some. 115 00:06:19,040 --> 00:06:21,159 Speaker 1: Form of totally. I was thinking that too. I was 116 00:06:21,240 --> 00:06:24,760 Speaker 1: just like, they it's just annoying because they just release 117 00:06:25,000 --> 00:06:28,440 Speaker 1: It's even with the letters for TMZ. It's just like, listen, 118 00:06:28,720 --> 00:06:30,839 Speaker 1: if you're not going to tell us exactly what it says, 119 00:06:30,880 --> 00:06:33,760 Speaker 1: then don't even tell us you got them, like cause really, 120 00:06:33,839 --> 00:06:36,359 Speaker 1: why does the public even need to know at this point. 121 00:06:36,440 --> 00:06:39,480 Speaker 1: It's just kind of like this weird tease. And then 122 00:06:39,520 --> 00:06:42,640 Speaker 1: the guy those that guy are the two guys that 123 00:06:42,680 --> 00:06:46,159 Speaker 1: are the TMZ the face of TMZ or whatever. It's 124 00:06:46,240 --> 00:06:48,880 Speaker 1: just like, oh, well, they're allowed to know what it says, 125 00:06:48,920 --> 00:06:51,680 Speaker 1: but we're not, like, well, it's only me. 126 00:06:51,839 --> 00:06:55,279 Speaker 2: It's really bad, like it's only benefiting them though, because 127 00:06:55,279 --> 00:06:58,640 Speaker 2: they're getting clicks. I feel like I read somewhere yesterday 128 00:06:59,080 --> 00:07:03,720 Speaker 2: that the TMZ website app only came out in like 129 00:07:03,800 --> 00:07:06,760 Speaker 2: the mid to late early two thousands, and when Michael 130 00:07:06,880 --> 00:07:09,680 Speaker 2: Jackson had died, it literally crashed. It was like the 131 00:07:09,680 --> 00:07:13,040 Speaker 2: most traffic that their website ever had because they reported 132 00:07:13,040 --> 00:07:15,400 Speaker 2: it and nobody could believe it. So think of the 133 00:07:15,440 --> 00:07:17,920 Speaker 2: traffic they get on a daily basis. Because they are 134 00:07:17,960 --> 00:07:21,160 Speaker 2: a news outlet that is typically reporting things first, and 135 00:07:21,200 --> 00:07:24,280 Speaker 2: we have to remember, like they're not on like National 136 00:07:24,360 --> 00:07:27,800 Speaker 2: Inquirer or some of these other like tabloid standards of 137 00:07:27,840 --> 00:07:31,400 Speaker 2: not really getting any sources. TMZ is actually considered a 138 00:07:31,400 --> 00:07:34,280 Speaker 2: pretty credible news source to actually make sure to check 139 00:07:34,320 --> 00:07:37,240 Speaker 2: in and get multiple sources before reporting something. So I 140 00:07:37,280 --> 00:07:40,200 Speaker 2: always try to consider that because I always saw them 141 00:07:40,200 --> 00:07:43,840 Speaker 2: as being this really salacious outlet, But now that I 142 00:07:43,960 --> 00:07:46,000 Speaker 2: kind of know how they work behind the scenes, I'm like, 143 00:07:46,440 --> 00:07:50,520 Speaker 2: they definitely are exploiting people to some extent, obviously, but 144 00:07:50,600 --> 00:07:53,240 Speaker 2: they are doing the due diligence behind the scenes with 145 00:07:53,360 --> 00:07:55,160 Speaker 2: their reporting. Yeah. 146 00:07:55,200 --> 00:07:59,080 Speaker 1: I feel like when the whole Nick Reiner thing happened 147 00:07:59,120 --> 00:08:02,040 Speaker 1: and Rob Reiner and his wife were murdered, they were 148 00:08:02,080 --> 00:08:06,280 Speaker 1: the first ones to come out and say it very 149 00:08:06,320 --> 00:08:08,760 Speaker 1: early on that there was something that happened there and 150 00:08:08,800 --> 00:08:11,400 Speaker 1: then it didn't come out on other news outlets for 151 00:08:11,440 --> 00:08:14,760 Speaker 1: a while, and you have to think, like putting something 152 00:08:15,360 --> 00:08:18,760 Speaker 1: like so crazy out there, you have to be sure 153 00:08:18,880 --> 00:08:22,840 Speaker 1: that you're right. But they have sources inside everywhere, and yeah, 154 00:08:23,080 --> 00:08:27,320 Speaker 1: I think that people frown upon TMZ and you're just 155 00:08:27,400 --> 00:08:30,280 Speaker 1: kind of like NAD. They kind of are getting the 156 00:08:30,320 --> 00:08:35,600 Speaker 1: same information that quote legitimate newsplaces are getting. 157 00:08:36,120 --> 00:08:39,160 Speaker 2: They are, but you have to think about traditional media 158 00:08:39,200 --> 00:08:41,440 Speaker 2: and how they work. I mean, we're living in a 159 00:08:41,480 --> 00:08:43,760 Speaker 2: day and age where something can be on social media 160 00:08:43,920 --> 00:08:47,880 Speaker 2: literally thirty seconds after it happens, and when it doesn't 161 00:08:47,920 --> 00:08:50,560 Speaker 2: show up on a real news outlet for five hours, 162 00:08:50,600 --> 00:08:52,520 Speaker 2: that's annoying as a consumer. 163 00:08:52,640 --> 00:08:57,840 Speaker 1: Well, there's people who So there's legitimate reporters like Briant 164 00:08:58,000 --> 00:09:01,520 Speaker 1: and who he actually was on Joe Jackaloone show this week, 165 00:09:01,559 --> 00:09:05,080 Speaker 1: if you guys are interested, they I'm sure they're talking 166 00:09:05,080 --> 00:09:08,720 Speaker 1: about this same case and he works for News Nation, 167 00:09:08,840 --> 00:09:12,360 Speaker 1: but he's also like a legitimate reporter. And then there's 168 00:09:12,600 --> 00:09:17,160 Speaker 1: just YouTubers that are there and really they their life 169 00:09:17,240 --> 00:09:20,280 Speaker 1: is dedicated to being there, so they're just staying there. 170 00:09:20,960 --> 00:09:26,640 Speaker 1: And yesterday apparently Tomato went to Nancy's house and one 171 00:09:26,679 --> 00:09:31,600 Speaker 1: of the YouTubers was like stalking him and driving around 172 00:09:31,640 --> 00:09:34,280 Speaker 1: following him, like he has to call the police and 173 00:09:34,320 --> 00:09:36,840 Speaker 1: say like, hey, this person's harassing me. You know, like 174 00:09:36,840 --> 00:09:37,760 Speaker 1: you can't be doing that. 175 00:09:37,960 --> 00:09:42,680 Speaker 2: But if TMZ has like their network of internal sources, 176 00:09:42,800 --> 00:09:45,160 Speaker 2: I mean, could they are always a first report when 177 00:09:45,200 --> 00:09:48,319 Speaker 2: people die, when they're getting divorced, things like that. Like 178 00:09:48,640 --> 00:09:51,160 Speaker 2: I imagine in my mind they just have a full 179 00:09:51,160 --> 00:09:55,000 Speaker 2: time employee camped out at the courthouse, because otherwise, how 180 00:09:55,000 --> 00:09:56,840 Speaker 2: are they getting the information so quickly? 181 00:09:57,040 --> 00:09:59,600 Speaker 1: Well, because they have people on the inside, like cops 182 00:09:59,600 --> 00:10:04,240 Speaker 1: and stuff. Yeah, Like if you especially in La, I mean, 183 00:10:04,320 --> 00:10:07,720 Speaker 1: I know, for where we live, we could just listen 184 00:10:07,800 --> 00:10:11,640 Speaker 1: to the police scanners and the fire scanners. So I'm 185 00:10:11,679 --> 00:10:15,480 Speaker 1: assuming they have that kind of stuff too in La. 186 00:10:15,720 --> 00:10:19,959 Speaker 1: And you hear, oh, there's an ambulance called to this house. 187 00:10:20,040 --> 00:10:23,080 Speaker 1: Like that's how I think like Lisa Mury Presley was 188 00:10:23,120 --> 00:10:26,960 Speaker 1: released because somebody knew that it was her address and 189 00:10:27,000 --> 00:10:29,840 Speaker 1: then you hear it over the scanner and you're just like, Okay, 190 00:10:29,880 --> 00:10:33,320 Speaker 1: well we know who lives at that address. There's just 191 00:10:33,400 --> 00:10:36,400 Speaker 1: people that dedicate their life to it. So that's how 192 00:10:36,440 --> 00:10:37,120 Speaker 1: they find out. 193 00:10:37,240 --> 00:10:38,800 Speaker 2: Oh yeah, and I guess if you want to go 194 00:10:38,920 --> 00:10:42,920 Speaker 2: back to like, even though they're reporting may have credible 195 00:10:42,920 --> 00:10:45,680 Speaker 2: sources behind the scenes, I mean morally we can say 196 00:10:45,720 --> 00:10:48,400 Speaker 2: they're not always doing the best thing. Like, if they 197 00:10:48,480 --> 00:10:52,240 Speaker 2: really cared morally about this situation with Nancy Guthrie, I 198 00:10:52,240 --> 00:10:54,920 Speaker 2: don't think they'd immediately publish the ransom notes. They would 199 00:10:54,920 --> 00:10:57,320 Speaker 2: hand them over to the family or the police and 200 00:10:57,400 --> 00:10:58,880 Speaker 2: try to keep it under wraps. 201 00:10:59,160 --> 00:11:03,000 Speaker 1: The probably did, but they were also like, we're using 202 00:11:03,040 --> 00:11:05,480 Speaker 1: this and they have every right too. So what do 203 00:11:05,520 --> 00:11:09,120 Speaker 1: you think about Like, I feel like a lot of 204 00:11:09,160 --> 00:11:12,200 Speaker 1: people thought that it was a probability that she was 205 00:11:12,240 --> 00:11:15,960 Speaker 1: in Mexico just because it's so close to Tucson. I'm 206 00:11:16,000 --> 00:11:19,440 Speaker 1: just wondering it, like if the if the FBI, if 207 00:11:19,600 --> 00:11:22,840 Speaker 1: because Ashley Banfield clearly has a person on the inside, 208 00:11:22,840 --> 00:11:25,440 Speaker 1: if the FBI really thinks that these letters are real 209 00:11:26,600 --> 00:11:30,000 Speaker 1: that particular, is that a state that they said that 210 00:11:30,080 --> 00:11:32,360 Speaker 1: it was in Mexico or something like? I wonder what 211 00:11:32,400 --> 00:11:34,560 Speaker 1: the population is and if they would be able to 212 00:11:34,679 --> 00:11:37,839 Speaker 1: just go there and try to figure that out. Is 213 00:11:37,880 --> 00:11:41,280 Speaker 1: it a very populated area, Is it not like things 214 00:11:41,320 --> 00:11:41,640 Speaker 1: like that? 215 00:11:42,320 --> 00:11:45,160 Speaker 2: Yeah, I don't know, and I feel like they have 216 00:11:45,240 --> 00:11:48,760 Speaker 2: to investigate it because if they really have no other information, 217 00:11:48,880 --> 00:11:50,680 Speaker 2: what's the harm in looking into it? 218 00:11:52,600 --> 00:11:55,600 Speaker 1: Yeah, I mean, like what is how are they doing anything? 219 00:11:55,640 --> 00:11:56,120 Speaker 1: Who knows? 220 00:11:56,160 --> 00:11:59,400 Speaker 2: But at what point is this considered a cold case officially? 221 00:11:59,440 --> 00:12:01,920 Speaker 2: Like they are, we have exhausted all options and we 222 00:12:02,040 --> 00:12:03,360 Speaker 2: just cannot find this lady. 223 00:12:04,800 --> 00:12:08,240 Speaker 1: I don't know what exactly, like what the tipping point 224 00:12:08,320 --> 00:12:11,480 Speaker 1: would be for that. I mean, they've already cut back 225 00:12:11,600 --> 00:12:15,800 Speaker 1: so much on what they're doing, so I just think that, like, 226 00:12:16,040 --> 00:12:18,800 Speaker 1: if this was a normal person, this would already. 227 00:12:18,480 --> 00:12:22,360 Speaker 2: Be like well, of course, but because of how high 228 00:12:22,360 --> 00:12:25,280 Speaker 2: profile this is, they have to really look into everything. 229 00:12:25,520 --> 00:12:29,000 Speaker 1: Yeah, And it's like it's good in a sense the 230 00:12:29,480 --> 00:12:34,000 Speaker 1: amount of attention it's getting. Because we've talked about this before. 231 00:12:34,240 --> 00:12:37,040 Speaker 1: One of the most striking parts of going to crime 232 00:12:37,120 --> 00:12:41,480 Speaker 1: con is that they have a lot of information on 233 00:12:41,559 --> 00:12:44,800 Speaker 1: people who are currently missing. They have a whole entire 234 00:12:44,920 --> 00:12:49,680 Speaker 1: wall of people of photographs with information have you seen 235 00:12:49,720 --> 00:12:53,080 Speaker 1: this person? Have you seen this person? And I met 236 00:12:53,120 --> 00:12:55,800 Speaker 1: a woman at last crime Con that came up to 237 00:12:55,840 --> 00:12:59,240 Speaker 1: me and just handed me a business card, and she 238 00:12:59,480 --> 00:13:02,560 Speaker 1: was a mom that her daughter was missing, and it 239 00:13:02,720 --> 00:13:04,840 Speaker 1: just upset me so much the rest of the day 240 00:13:05,240 --> 00:13:08,320 Speaker 1: after I met her, because she just had this like 241 00:13:08,720 --> 00:13:11,840 Speaker 1: look in her face of just like being alive but 242 00:13:11,920 --> 00:13:16,520 Speaker 1: being dead. It just was so sad because like we're 243 00:13:16,880 --> 00:13:20,960 Speaker 1: we're witnessing it with Savannah, and it's and I'm sorry, 244 00:13:21,040 --> 00:13:24,880 Speaker 1: like the difference between your mom getting kidnapped versus your 245 00:13:24,960 --> 00:13:30,040 Speaker 1: child getting kidnapped is it's just different, right, It's still 246 00:13:30,160 --> 00:13:33,080 Speaker 1: And you look at Savannah and you're just kind of like, 247 00:13:33,880 --> 00:13:37,000 Speaker 1: especially in those interviews, that that interview that she did 248 00:13:37,040 --> 00:13:39,000 Speaker 1: and stuff, and I'm looking at her just thinking like 249 00:13:39,679 --> 00:13:43,920 Speaker 1: how like you have to have intrusive thoughts all day 250 00:13:44,080 --> 00:13:49,960 Speaker 1: about the absolute worst things and then seeing like the 251 00:13:50,080 --> 00:13:53,680 Speaker 1: video with the actual guy and just like visualizing that 252 00:13:53,760 --> 00:13:58,320 Speaker 1: person hurting your mother and just repeating it and repeating it, 253 00:13:58,559 --> 00:14:02,040 Speaker 1: but like never getting the of what actually happened, Like 254 00:14:02,840 --> 00:14:05,200 Speaker 1: did they find her body and do an autopsy and 255 00:14:05,240 --> 00:14:07,199 Speaker 1: figure out that she had a cardiac event and she 256 00:14:07,280 --> 00:14:11,000 Speaker 1: was likely dead within minutes of that her seeing an 257 00:14:11,000 --> 00:14:14,600 Speaker 1: intruder in her house versus was she taken and raped 258 00:14:14,640 --> 00:14:17,959 Speaker 1: for two weeks? You know, like those kinds of thoughts 259 00:14:18,000 --> 00:14:20,080 Speaker 1: and you get a lot of closure when at least 260 00:14:20,120 --> 00:14:22,920 Speaker 1: you get the body back to an extent, because at 261 00:14:22,920 --> 00:14:27,640 Speaker 1: this point, she's decomposed beyond finding out a lot of 262 00:14:27,640 --> 00:14:31,040 Speaker 1: different answers for things like I mean, if she if 263 00:14:31,080 --> 00:14:35,520 Speaker 1: her body's like let's say, for example, in Tucson, outside, 264 00:14:36,080 --> 00:14:39,280 Speaker 1: she's skeletonized. At this point, there's no soft tissue. You 265 00:14:39,280 --> 00:14:41,040 Speaker 1: can't look at her heart and see what happened. 266 00:14:41,280 --> 00:14:43,280 Speaker 2: Yeah, So even if they find her remains and we 267 00:14:43,280 --> 00:14:44,720 Speaker 2: still won't really know what happened. 268 00:14:44,720 --> 00:14:47,280 Speaker 1: No, I mean they could tell, like obviously, if her 269 00:14:47,320 --> 00:14:51,320 Speaker 1: bones are broken and stuff that, or she has shotgun wounds, 270 00:14:51,440 --> 00:14:53,560 Speaker 1: or she has knife marks on her bones, they'll be 271 00:14:53,640 --> 00:14:56,800 Speaker 1: able to tell if she suffered a traumatic event. But 272 00:14:57,480 --> 00:15:00,040 Speaker 1: not having soft tissue there is just rolling out a 273 00:15:00,120 --> 00:15:02,600 Speaker 1: lot of natural death stuff. It's rolling out a lot 274 00:15:02,600 --> 00:15:05,080 Speaker 1: of things that they'll never be able to get an 275 00:15:05,080 --> 00:15:05,520 Speaker 1: answer to. 276 00:15:05,880 --> 00:15:08,920 Speaker 2: I think about this a lot like Elizabeth's Smart's dad 277 00:15:08,920 --> 00:15:11,120 Speaker 2: always said the worst part of it was just not 278 00:15:11,360 --> 00:15:14,280 Speaker 2: knowing what happened. Yeah, And obviously in their case it 279 00:15:14,360 --> 00:15:16,960 Speaker 2: ended up working out well for them where she was 280 00:15:17,000 --> 00:15:21,360 Speaker 2: returned right, not without a super traumatic experience. But I 281 00:15:21,440 --> 00:15:24,880 Speaker 2: can't imagine for all these families, And I wonder if 282 00:15:25,040 --> 00:15:29,760 Speaker 2: other families of kidnapping victims are outraged by the amount 283 00:15:29,760 --> 00:15:33,680 Speaker 2: of media attention. This is getting or happy that light 284 00:15:33,840 --> 00:15:37,840 Speaker 2: is being brought to the situation and possibly helping others. 285 00:15:37,880 --> 00:15:42,160 Speaker 1: I don't know. It's another interesting thought is like the 286 00:15:42,280 --> 00:15:46,760 Speaker 1: person that did this, I really am starting to think 287 00:15:46,800 --> 00:15:51,800 Speaker 1: that they're they're sadistic, like trying they're actually getting off 288 00:15:51,880 --> 00:15:57,320 Speaker 1: on watching this woman be in pain. Like you could 289 00:15:57,320 --> 00:16:00,400 Speaker 1: have just walked in and killed the mind and that 290 00:16:00,400 --> 00:16:04,120 Speaker 1: would have been upsetting, but this is like, think about 291 00:16:04,120 --> 00:16:07,240 Speaker 1: the worst thing you could do to a person and 292 00:16:07,240 --> 00:16:10,360 Speaker 1: and just so happened to be okay. So it looks 293 00:16:10,400 --> 00:16:12,280 Speaker 1: like she's putting a smile back on her face and 294 00:16:12,280 --> 00:16:13,800 Speaker 1: she's going to try to go back to work, like 295 00:16:13,880 --> 00:16:17,760 Speaker 1: let me ruin her day again. And it's like you 296 00:16:17,920 --> 00:16:21,120 Speaker 1: have to think, is this really someone that's trying to 297 00:16:21,160 --> 00:16:25,440 Speaker 1: get back at her for causing them pain or perceived 298 00:16:25,480 --> 00:16:28,840 Speaker 1: pain that they think and who knows what that is? 299 00:16:29,000 --> 00:16:31,880 Speaker 1: That could be something personal that never happened on the air, 300 00:16:32,000 --> 00:16:34,920 Speaker 1: like we're always trying to say, oh, like the biggest 301 00:16:34,920 --> 00:16:37,120 Speaker 1: one that goes around is oh, she she interviewed these 302 00:16:37,160 --> 00:16:39,680 Speaker 1: Epstein victims and blah blah blah. 303 00:16:39,280 --> 00:16:41,840 Speaker 2: I think they're well beyond that theory, you know, like 304 00:16:41,920 --> 00:16:44,720 Speaker 2: I feel like if well, I wouldn't I wouldn't say that. 305 00:16:44,880 --> 00:16:47,720 Speaker 1: I mean that it's kind of like, you know how 306 00:16:47,760 --> 00:16:51,400 Speaker 1: you can connect all movies to Kevin Bacon. Yeah, there's 307 00:16:51,480 --> 00:16:54,240 Speaker 1: like that thing. I feel like you could connect like 308 00:16:54,400 --> 00:16:58,280 Speaker 1: everyone's trying to connect all of everything else to Epstein. 309 00:16:58,840 --> 00:17:03,400 Speaker 2: Yeah, totally, anything is still possible, but I think we 310 00:17:04,320 --> 00:17:08,520 Speaker 2: are definitely. I feel this is probably just going to 311 00:17:08,600 --> 00:17:11,720 Speaker 2: remain unsolved for the rest of our lives. But I 312 00:17:11,760 --> 00:17:12,920 Speaker 2: guess anything's. 313 00:17:12,520 --> 00:17:16,680 Speaker 1: Hopefully not okay. So Perez Hilton, we talked about him 314 00:17:16,680 --> 00:17:17,920 Speaker 1: a little bit last week. 315 00:17:18,760 --> 00:17:20,560 Speaker 2: Yeah, so we talked about how he was in the 316 00:17:20,600 --> 00:17:23,439 Speaker 2: hospital for twenty one days because he had been taking 317 00:17:23,480 --> 00:17:26,560 Speaker 2: flu medication and he wasn't eating with it, so he 318 00:17:26,600 --> 00:17:28,359 Speaker 2: thought it was his fault that he ended up in 319 00:17:28,359 --> 00:17:31,520 Speaker 2: the hospital and developed an ulcer. And now last week 320 00:17:31,560 --> 00:17:33,879 Speaker 2: he reported that he was back in the hospital with 321 00:17:33,920 --> 00:17:36,480 Speaker 2: a blood clot and he had to get emergency surgery. 322 00:17:37,400 --> 00:17:40,400 Speaker 1: This is actually and this is why I love doing 323 00:17:40,440 --> 00:17:43,400 Speaker 1: this show, because we could use real life examples of 324 00:17:43,440 --> 00:17:46,280 Speaker 1: what's going on in the real world. And this is 325 00:17:46,320 --> 00:17:51,440 Speaker 1: a really good example of how something really super minor 326 00:17:52,359 --> 00:17:58,160 Speaker 1: turns into a person dying, right, because you always hear about, oh, 327 00:17:58,200 --> 00:18:00,680 Speaker 1: they just went into the hospital for this, and there's 328 00:18:00,760 --> 00:18:05,560 Speaker 1: always cascading effects of everything. So he goes into the 329 00:18:05,560 --> 00:18:09,639 Speaker 1: hospital because he had a perforated ulcer, which is likely 330 00:18:09,720 --> 00:18:13,639 Speaker 1: because he had an H. Pylori infection, which is the 331 00:18:13,760 --> 00:18:16,960 Speaker 1: number one reason why you would get an ulcer in 332 00:18:17,040 --> 00:18:21,159 Speaker 1: your upper gi track like that. So he took so 333 00:18:21,240 --> 00:18:24,439 Speaker 1: he had a flu, and then he took advil or 334 00:18:24,760 --> 00:18:28,600 Speaker 1: some kind of nad which further pushed that along. He 335 00:18:28,680 --> 00:18:31,120 Speaker 1: said it was his fault because he took he took 336 00:18:31,160 --> 00:18:34,359 Speaker 1: the medication without food, but that is not the sole 337 00:18:34,440 --> 00:18:37,199 Speaker 1: reason why he had a perforation in his stomach. So 338 00:18:37,640 --> 00:18:41,760 Speaker 1: when you have a perforation, then you could get bacteria 339 00:18:41,920 --> 00:18:45,280 Speaker 1: and certain materials that are inside of your gi track 340 00:18:45,359 --> 00:18:48,040 Speaker 1: into the sterile area, which could then get into your blood, 341 00:18:48,040 --> 00:18:51,639 Speaker 1: which then could get into your organs. So when you 342 00:18:51,680 --> 00:18:54,800 Speaker 1: have an infection that's called sepsis, when it goes throughout 343 00:18:54,840 --> 00:18:59,920 Speaker 1: your whole body, they give you a central line, which 344 00:19:00,160 --> 00:19:05,159 Speaker 1: is to administer iv antibiotics. Now, he was in the 345 00:19:05,160 --> 00:19:07,520 Speaker 1: hospital for twenty one days, but they sent him home 346 00:19:07,560 --> 00:19:09,399 Speaker 1: and he still had the line and was still getting 347 00:19:09,400 --> 00:19:11,960 Speaker 1: the ivy antibiotics at his house, which he just had 348 00:19:12,040 --> 00:19:15,960 Speaker 1: said a couple days before this, he posted and said, 349 00:19:16,320 --> 00:19:19,680 Speaker 1: good news, after being on this iv all these weeks, 350 00:19:19,720 --> 00:19:23,960 Speaker 1: I finally just got it taken out. But that central line, 351 00:19:23,960 --> 00:19:27,760 Speaker 1: which is treatment for this, can irritate the blood vessels 352 00:19:27,840 --> 00:19:31,480 Speaker 1: and make you prone to clotting, on top of just 353 00:19:32,240 --> 00:19:36,080 Speaker 1: being septic, which also prones you to clotting, and also 354 00:19:36,240 --> 00:19:40,320 Speaker 1: being bedbound for twenty one days, which also makes you 355 00:19:40,600 --> 00:19:43,960 Speaker 1: increase risk for clotting. Right, So, when you think about 356 00:19:44,000 --> 00:19:48,240 Speaker 1: a typical forty eight year old dude, they should never 357 00:19:48,280 --> 00:19:50,719 Speaker 1: get blood clots. But he's got all these things that 358 00:19:50,760 --> 00:19:54,800 Speaker 1: were set off by this one event. And so he's 359 00:19:54,880 --> 00:19:57,359 Speaker 1: home from the hospital and he notices that he has 360 00:19:57,440 --> 00:20:00,280 Speaker 1: swelling in one of his legs really bad, to the 361 00:20:00,280 --> 00:20:02,119 Speaker 1: point where he said he has to use a walker. 362 00:20:02,480 --> 00:20:05,120 Speaker 1: And that's that's like a huge red flag for anyone 363 00:20:05,119 --> 00:20:08,280 Speaker 1: that's been hospitalized or just had surgery, or has just 364 00:20:08,320 --> 00:20:10,480 Speaker 1: had any kind of condition where they haven't been walking 365 00:20:10,520 --> 00:20:13,600 Speaker 1: around the whole lot for a month. And sure enough, 366 00:20:13,640 --> 00:20:15,719 Speaker 1: he goes to the hospital and they say, okay, you 367 00:20:15,720 --> 00:20:17,840 Speaker 1: have this giant blood clot in the deep veins of 368 00:20:17,880 --> 00:20:19,760 Speaker 1: your legs, and you need to get it taken out, 369 00:20:19,800 --> 00:20:23,040 Speaker 1: like emergency surgery, because if you don't, it could break off, 370 00:20:23,080 --> 00:20:26,439 Speaker 1: travel to your lungs and kill you. So that's exactly 371 00:20:26,520 --> 00:20:29,080 Speaker 1: what happened. So he had to go in and get 372 00:20:29,080 --> 00:20:32,040 Speaker 1: a surgical procedure where they cut open the vessel and 373 00:20:32,080 --> 00:20:34,639 Speaker 1: try to break up the clot. They probably gave him 374 00:20:34,680 --> 00:20:38,160 Speaker 1: some medications too to break it up, and that it's 375 00:20:38,200 --> 00:20:41,639 Speaker 1: a relatively minor procedure and he should be fine. But 376 00:20:41,800 --> 00:20:45,120 Speaker 1: it's just it's just a good example to show how 377 00:20:45,160 --> 00:20:49,040 Speaker 1: people go downhill because one treatment leads to another problem 378 00:20:49,160 --> 00:20:52,520 Speaker 1: neads to another, Like it's a cascading effect that we 379 00:20:52,560 --> 00:20:54,840 Speaker 1: see in the hospital all the time. I mean, for 380 00:20:54,920 --> 00:20:58,400 Speaker 1: a regular person, would they go home with ivy antibiotic 381 00:20:58,520 --> 00:21:01,360 Speaker 1: treatment Like you're saying, okay, so just making sure this 382 00:21:01,400 --> 00:21:05,840 Speaker 1: wasn't one of those situations. Yeah, and treatment, I don't really. 383 00:21:06,000 --> 00:21:09,240 Speaker 1: I mean I know that he's famous, but like he's 384 00:21:09,280 --> 00:21:12,560 Speaker 1: not Jennifer Aniston level like he's Yeah, I don't I 385 00:21:12,600 --> 00:21:16,400 Speaker 1: don't think that he's getting like per like extra special 386 00:21:16,440 --> 00:21:21,560 Speaker 1: treatment on that level. But yeah, pop pop once had 387 00:21:22,960 --> 00:21:26,199 Speaker 1: a MRSA infection in his arm. And remember when he 388 00:21:26,240 --> 00:21:28,280 Speaker 1: was in the hospital. I remember a couple of weeks 389 00:21:28,320 --> 00:21:32,200 Speaker 1: and that was God, that was like twenty years ago. Now, Well, 390 00:21:32,359 --> 00:21:36,360 Speaker 1: he went home with iby antibiotics. He was on them 391 00:21:36,359 --> 00:21:39,600 Speaker 1: for like another month after he was discharged from the hospital, 392 00:21:39,680 --> 00:21:41,520 Speaker 1: so a nurse would come to the house and like 393 00:21:42,160 --> 00:21:44,480 Speaker 1: then there was a point that he had to handle 394 00:21:44,520 --> 00:21:46,479 Speaker 1: it himself and then they eventually take it out and 395 00:21:46,520 --> 00:21:49,920 Speaker 1: that's it, so that none of it is abnormal at all. 396 00:21:49,920 --> 00:21:52,480 Speaker 1: There's no nothing that anybody did wrong. This is like 397 00:21:52,600 --> 00:21:57,639 Speaker 1: total normal complications that are seen. But it's just you 398 00:21:57,760 --> 00:22:00,679 Speaker 1: have a guy. I mean, the only way that this 399 00:22:00,760 --> 00:22:04,040 Speaker 1: really could have been avoided is if he was likely 400 00:22:04,160 --> 00:22:07,520 Speaker 1: having some kind of upper GI symptoms like heartburn or 401 00:22:07,520 --> 00:22:12,119 Speaker 1: something like that. If he would have gotten endoscopy done, 402 00:22:12,560 --> 00:22:17,560 Speaker 1: you know, a year six months prior to getting this flu, 403 00:22:18,119 --> 00:22:21,560 Speaker 1: they would have caught this H. Pylori infection, treated it 404 00:22:21,640 --> 00:22:24,919 Speaker 1: and like he probably never he would have had the 405 00:22:24,960 --> 00:22:28,680 Speaker 1: flu and moved on with life. That's the only preventative thing. 406 00:22:29,480 --> 00:22:32,880 Speaker 1: And I know that they do over forty five years 407 00:22:32,920 --> 00:22:38,240 Speaker 1: old preventative colonoscopy, but endoscopy isn't. I don't believe it's 408 00:22:38,240 --> 00:22:40,880 Speaker 1: a screening unless you have some kind of a high risk, 409 00:22:41,680 --> 00:22:46,200 Speaker 1: either in your family or with yourself. So there are 410 00:22:46,320 --> 00:22:48,560 Speaker 1: tests that could be done at the doctor's office, like 411 00:22:48,680 --> 00:22:50,960 Speaker 1: blood tests and breath tests and stuff to figure out 412 00:22:50,960 --> 00:22:53,800 Speaker 1: if you have this. But if he never reported the symptoms, 413 00:22:55,240 --> 00:22:58,439 Speaker 1: they would have never worked them up for it. But 414 00:22:58,680 --> 00:23:00,960 Speaker 1: it just it just goes to show you how a 415 00:23:01,040 --> 00:23:03,560 Speaker 1: forty eight year old person is now like having a 416 00:23:03,600 --> 00:23:07,199 Speaker 1: serious medical event, almost died twice in the course of 417 00:23:07,240 --> 00:23:07,960 Speaker 1: two months. 418 00:23:08,560 --> 00:23:10,960 Speaker 2: No, it's really scary to think it can happen to anybody. 419 00:23:10,960 --> 00:23:14,000 Speaker 2: I mean, he had the surgery I think on Friday, 420 00:23:14,040 --> 00:23:17,320 Speaker 2: and he has been posting normally since, so I think 421 00:23:17,359 --> 00:23:20,719 Speaker 2: everything seemingly went well. Hopefully this is the end of 422 00:23:20,760 --> 00:23:22,840 Speaker 2: his medical problem because. 423 00:23:22,800 --> 00:23:25,679 Speaker 1: No, it's not, though, because now he'll probably have to 424 00:23:25,720 --> 00:23:28,320 Speaker 1: be on blood thinners for a certain amount of time, 425 00:23:29,000 --> 00:23:32,640 Speaker 1: and that leads to other things that could be complications, 426 00:23:32,640 --> 00:23:34,800 Speaker 1: like for example, if you trip and fall, you could 427 00:23:34,800 --> 00:23:38,000 Speaker 1: get way more seriously injured because you're on blood thinners. Now, 428 00:23:38,040 --> 00:23:40,800 Speaker 1: like there's I'm telling you that this is the problem. 429 00:23:40,800 --> 00:23:43,159 Speaker 1: It's just like one thing leads to another. It's a 430 00:23:43,200 --> 00:23:45,560 Speaker 1: domino effect that you see in medicine all the time. 431 00:23:45,640 --> 00:23:49,040 Speaker 1: So he I mean, he's alive, but he's not out 432 00:23:49,080 --> 00:23:51,240 Speaker 1: of the woods because he's just going to be having 433 00:23:51,400 --> 00:23:54,399 Speaker 1: until his clotting gets back to normal and stuff and 434 00:23:54,440 --> 00:23:56,600 Speaker 1: he doesn't have any accidents or anything like that, Like, 435 00:23:56,680 --> 00:24:00,560 Speaker 1: hopefully everything goes well, but he's not I wouldn't say 436 00:24:00,560 --> 00:24:05,920 Speaker 1: he's out of the woods quite yet. 437 00:24:10,600 --> 00:24:12,760 Speaker 2: This episode is brought to you by the Grossroom. 438 00:24:13,000 --> 00:24:15,560 Speaker 1: So this week's high profile that the section we did 439 00:24:15,640 --> 00:24:19,080 Speaker 1: on a little six year old boy named Corey Mitchello. 440 00:24:19,240 --> 00:24:22,920 Speaker 1: If you guys might not recognize his name, but everybody 441 00:24:23,000 --> 00:24:26,000 Speaker 1: will remember this case. It involves this six year old 442 00:24:26,000 --> 00:24:29,240 Speaker 1: boy who was being abused by his father. And if 443 00:24:29,280 --> 00:24:31,560 Speaker 1: you recall when this was going on, there was this 444 00:24:31,720 --> 00:24:35,120 Speaker 1: viral video that was going around showing his dad forcing 445 00:24:35,200 --> 00:24:37,520 Speaker 1: him to run on the treadmill even though the kid 446 00:24:37,600 --> 00:24:41,119 Speaker 1: kept falling off and the dad was abusing him. And 447 00:24:41,760 --> 00:24:46,919 Speaker 1: while it wasn't directly related to his death, that video 448 00:24:47,080 --> 00:24:50,080 Speaker 1: was able, along with other things obviously, but was really 449 00:24:50,160 --> 00:24:54,240 Speaker 1: able to prove that this guy was abusive towards the kid. 450 00:24:54,400 --> 00:24:58,439 Speaker 1: So it's a cool case that we dissected because it 451 00:24:58,600 --> 00:25:02,560 Speaker 1: shows how the forensic pathologist from the prosecutor and the 452 00:25:02,600 --> 00:25:06,960 Speaker 1: forensic pathologists from the defense team. Both were looking at 453 00:25:06,960 --> 00:25:10,120 Speaker 1: the same as ac medical information, but we're coming up 454 00:25:10,119 --> 00:25:14,280 Speaker 1: with two completely different conclusions and manners of death as 455 00:25:14,280 --> 00:25:16,639 Speaker 1: far as how this child died. So it's really interesting. 456 00:25:16,760 --> 00:25:17,600 Speaker 1: So check that out. 457 00:25:17,960 --> 00:25:22,479 Speaker 2: Head over to the grocerroom dot com now to sign up. Okay, 458 00:25:22,560 --> 00:25:26,359 Speaker 2: So Easter all right, So first, in Germany, a group 459 00:25:26,480 --> 00:25:28,359 Speaker 2: was doing an Easter egg hunt in the woods and 460 00:25:28,400 --> 00:25:30,840 Speaker 2: all of a sudden, this giant gust of wind came through, 461 00:25:31,200 --> 00:25:33,760 Speaker 2: knocked a tree down on top of them, and ended 462 00:25:33,840 --> 00:25:37,080 Speaker 2: up killing three people. Yeah, I mean, this is just 463 00:25:37,200 --> 00:25:39,280 Speaker 2: one of those things that's a freak accident. 464 00:25:40,160 --> 00:25:43,040 Speaker 1: How could you? You hear about it sometimes too, during 465 00:25:43,119 --> 00:25:47,280 Speaker 1: storms and stuff. I mean a tree Like if a 466 00:25:47,359 --> 00:25:50,520 Speaker 1: tree is looks like it's in a residential area and 467 00:25:50,560 --> 00:25:53,280 Speaker 1: it's rotten and stuff like, it should be cut down immediately. 468 00:25:53,320 --> 00:25:57,760 Speaker 1: But when you're in the woods, anything could happened, right. 469 00:25:58,000 --> 00:25:59,679 Speaker 2: Yeah, I mean, even a couple of weeks ago we 470 00:25:59,760 --> 00:26:02,080 Speaker 2: had I'm pretty bad weather here, and when I drive 471 00:26:02,119 --> 00:26:05,240 Speaker 2: to the grocery store there's a tree that seemingly looks 472 00:26:05,280 --> 00:26:08,840 Speaker 2: perfectly healthy that's completely ripped out of the ground with 473 00:26:08,960 --> 00:26:11,760 Speaker 2: all of the grass still around it also ripped out 474 00:26:11,760 --> 00:26:14,439 Speaker 2: of the ground. It literally looks like you know in 475 00:26:14,520 --> 00:26:17,320 Speaker 2: Beetlejuice when they have the mile it looks like that, 476 00:26:17,440 --> 00:26:19,639 Speaker 2: but in real life, which is insane to see. But 477 00:26:20,080 --> 00:26:23,719 Speaker 2: the tree looked pretty healthy. I just think sometimes the 478 00:26:23,720 --> 00:26:25,879 Speaker 2: weather is so intense that this could happen. 479 00:26:26,359 --> 00:26:29,639 Speaker 1: Well, it's I also noticed that when it happens around 480 00:26:29,640 --> 00:26:33,160 Speaker 1: here a lot at you know, like a lot. Even 481 00:26:33,200 --> 00:26:35,760 Speaker 1: in Pennsylvania, they don't have a ton of sidewalks set 482 00:26:35,840 --> 00:26:38,520 Speaker 1: up like we do in New Jersey, where it's we 483 00:26:38,600 --> 00:26:41,000 Speaker 1: have streets and then we have that skinny piece of 484 00:26:41,040 --> 00:26:44,640 Speaker 1: grass at the curb with a sidewalk, and then people's 485 00:26:44,680 --> 00:26:48,439 Speaker 1: lawns and that in that skinny piece of grass, people 486 00:26:49,000 --> 00:26:51,119 Speaker 1: you know, back in the day would plant a maple 487 00:26:51,160 --> 00:26:54,840 Speaker 1: tree which is now fifty years old and way too 488 00:26:54,920 --> 00:26:58,159 Speaker 1: big to be anchored into the ground properly in that 489 00:26:58,480 --> 00:27:02,840 Speaker 1: small space, so they're not really getting their legs in 490 00:27:02,880 --> 00:27:05,200 Speaker 1: there to hold on. You know. That's where I noticed 491 00:27:05,200 --> 00:27:08,560 Speaker 1: them the most. But yeah, it could happen anywhere. I mean, 492 00:27:09,359 --> 00:27:11,480 Speaker 1: we don't even live in an area. I mean, I 493 00:27:11,480 --> 00:27:14,400 Speaker 1: guess now we are considered to have tornadoes around here, 494 00:27:14,440 --> 00:27:17,800 Speaker 1: but you see some trees in my neighborhood because we 495 00:27:17,840 --> 00:27:20,800 Speaker 1: have like an old established tree kind of neighborhood, and 496 00:27:20,840 --> 00:27:23,560 Speaker 1: it's like you just see them completely ripped up out 497 00:27:23,600 --> 00:27:27,840 Speaker 1: of the ground and a piece of wood falling what 498 00:27:27,960 --> 00:27:30,840 Speaker 1: was it ninety eight feet? I mean, that's gonna kill 499 00:27:30,880 --> 00:27:31,560 Speaker 1: you instantly. 500 00:27:31,920 --> 00:27:34,520 Speaker 2: Oh yeah, So it ended up falling on a couple 501 00:27:34,520 --> 00:27:37,000 Speaker 2: of people. So a twenty one year old mother and 502 00:27:37,040 --> 00:27:40,040 Speaker 2: a sixteen year old girl died at the scene, and 503 00:27:40,080 --> 00:27:42,159 Speaker 2: then I guess the twenty one year old mom was 504 00:27:42,200 --> 00:27:45,040 Speaker 2: holding her ten month old baby, who also got injured 505 00:27:45,040 --> 00:27:47,239 Speaker 2: and then later died at the hospital. And then an 506 00:27:47,280 --> 00:27:49,439 Speaker 2: eighteen year old also had to be airlifted to the 507 00:27:49,440 --> 00:27:50,360 Speaker 2: hospital from it. 508 00:27:50,720 --> 00:27:54,320 Speaker 1: Oh god, it's so terrible when you're just doing something 509 00:27:54,400 --> 00:27:58,480 Speaker 1: that's like a recreational fun thing with your kids and 510 00:27:58,720 --> 00:28:01,119 Speaker 1: there's there's I you just sit there and you're just like, 511 00:28:01,119 --> 00:28:04,840 Speaker 1: there's nothing anybody could have done to prevent that. No, totally. 512 00:28:04,880 --> 00:28:08,000 Speaker 2: And then in similar news in Long Beach, an easter 513 00:28:08,040 --> 00:28:10,520 Speaker 2: egg hunt was also happening in the woods, and these 514 00:28:10,600 --> 00:28:14,640 Speaker 2: kids or this family came across a human skull partially 515 00:28:14,680 --> 00:28:15,560 Speaker 2: buried in the dirt. 516 00:28:16,520 --> 00:28:19,800 Speaker 1: Yeah, So at first they said it was suspicious for 517 00:28:19,920 --> 00:28:26,480 Speaker 1: a human skull, which if you're in the United States, 518 00:28:26,600 --> 00:28:29,359 Speaker 1: the only skull that could look like a human skull 519 00:28:29,760 --> 00:28:33,800 Speaker 1: a little bit is some kind of a primate. I mean, 520 00:28:33,840 --> 00:28:37,200 Speaker 1: they kind of have a similar vibe. I can't think 521 00:28:37,200 --> 00:28:40,280 Speaker 1: of any other skull in the animal kingdom that could 522 00:28:40,320 --> 00:28:45,160 Speaker 1: be suspicious for human. You know, so if you're in 523 00:28:46,160 --> 00:28:49,400 Speaker 1: Long Beach, California, the likelihood of there being any kind 524 00:28:49,400 --> 00:28:53,320 Speaker 1: of a primate skull anywhere is very I mean, I 525 00:28:53,360 --> 00:28:55,840 Speaker 1: guess anything's possible if you have a pet or something 526 00:28:55,880 --> 00:28:59,719 Speaker 1: like that. But they're saying it's small, and they have 527 00:28:59,800 --> 00:29:02,200 Speaker 1: can firm that is a human skull, and they said 528 00:29:02,200 --> 00:29:05,400 Speaker 1: that it looks like it's from an infant. So it's 529 00:29:05,520 --> 00:29:08,000 Speaker 1: interesting that they use the word infant too, because it 530 00:29:08,880 --> 00:29:12,000 Speaker 1: I guess they're saying like, it doesn't look like fetal remains. 531 00:29:12,200 --> 00:29:16,120 Speaker 1: It looks like a like a baby, and which is 532 00:29:16,120 --> 00:29:20,280 Speaker 1: weird because that means there's a baby on accounted for somewhere. 533 00:29:21,320 --> 00:29:23,920 Speaker 2: Yeah, because well, now that we know this, I had 534 00:29:24,000 --> 00:29:27,320 Speaker 2: originally categorized this and like our other death news, which 535 00:29:27,360 --> 00:29:30,280 Speaker 2: is where we don't really always necessarily know what happened. 536 00:29:30,480 --> 00:29:32,800 Speaker 2: But if it's a baby, I feel like that can't be. 537 00:29:33,200 --> 00:29:36,240 Speaker 2: Like if it was an adults. Sometimes people will go 538 00:29:36,280 --> 00:29:38,200 Speaker 2: in the woods and do drugs and die there or 539 00:29:38,200 --> 00:29:40,680 Speaker 2: something like that, or have a medical emergency something like that. 540 00:29:40,680 --> 00:29:42,760 Speaker 1: Or get hit by a tree. Get hit by a tree. 541 00:29:42,840 --> 00:29:45,200 Speaker 2: Yeah, exactly, like an accident could occur. But like now 542 00:29:45,200 --> 00:29:48,000 Speaker 2: that we know it's a baby that's potentially unaccounted for, 543 00:29:49,400 --> 00:29:52,120 Speaker 2: that's not good. And then other local news outlets around 544 00:29:52,120 --> 00:29:55,160 Speaker 2: there were reporting that other small bones were located nearby. 545 00:29:55,280 --> 00:30:00,320 Speaker 1: So it's just that's that's the whole theory behind to 546 00:30:00,480 --> 00:30:04,200 Speaker 1: Casey Anthony and Cally Anthony case right, it's just like 547 00:30:04,920 --> 00:30:11,360 Speaker 1: this kid was found dead in a wooded area. There's 548 00:30:11,440 --> 00:30:15,600 Speaker 1: no reason, I mean, aside they couldn't figure out exactly 549 00:30:15,640 --> 00:30:19,000 Speaker 1: what her cause of death was, right, so she could 550 00:30:19,040 --> 00:30:22,120 Speaker 1: have died from an accidental death or whatever, like nobody 551 00:30:22,160 --> 00:30:25,320 Speaker 1: really knows. But there's her mouth. Well it's not even 552 00:30:25,320 --> 00:30:29,120 Speaker 1: that though. It's just like there's no reason that a 553 00:30:29,280 --> 00:30:33,440 Speaker 1: child should be out in the woods like that. But 554 00:30:33,840 --> 00:30:35,920 Speaker 1: you know, it wasn't near her house. It's not like 555 00:30:35,960 --> 00:30:38,000 Speaker 1: she ran away, you know, because that could happen like 556 00:30:38,120 --> 00:30:41,479 Speaker 1: kids wander out in the middle of the night, and 557 00:30:41,760 --> 00:30:45,520 Speaker 1: it wasn't anything like that, So exactly what you're saying, 558 00:30:45,520 --> 00:30:47,880 Speaker 1: it wasn't if it's an adult there, they could say 559 00:30:47,880 --> 00:30:52,240 Speaker 1: it's undetermined and not really like nobody's responsible for an adult, 560 00:30:52,280 --> 00:30:55,520 Speaker 1: whereas like adults are responsible for children. You mean, if 561 00:30:55,560 --> 00:30:58,160 Speaker 1: your kid wandered out of the house in the middle 562 00:30:58,200 --> 00:31:01,200 Speaker 1: and that you wouldn't to wait thirty days to report it. 563 00:31:01,240 --> 00:31:05,440 Speaker 1: Actually not you, your mother would report it. They didn't 564 00:31:05,440 --> 00:31:07,160 Speaker 1: even say that, and then that was the reason the 565 00:31:07,160 --> 00:31:07,800 Speaker 1: whole And. 566 00:31:07,800 --> 00:31:09,680 Speaker 2: Then you go to some parties and get a tattoo 567 00:31:09,720 --> 00:31:11,800 Speaker 2: that sai dulce vito, which means a sweet life. 568 00:31:12,360 --> 00:31:16,480 Speaker 1: You wouldn't know that that case. That case really just 569 00:31:16,560 --> 00:31:18,720 Speaker 1: bothers me to this day, and a lot of it 570 00:31:18,760 --> 00:31:23,720 Speaker 1: is like I know that most people have determined that 571 00:31:23,720 --> 00:31:28,160 Speaker 1: that Casey is is a sociopath whatever people think she is, 572 00:31:28,640 --> 00:31:34,760 Speaker 1: But I really don't agree with people that are supportive 573 00:31:34,840 --> 00:31:38,760 Speaker 1: of the parents, just me too, because we I feel 574 00:31:38,760 --> 00:31:41,160 Speaker 1: like when I look back at that case, especially since 575 00:31:41,160 --> 00:31:46,040 Speaker 1: it happened when I was around the same age, within 576 00:31:46,080 --> 00:31:48,760 Speaker 1: a couple of years, it's just like I was in 577 00:31:48,800 --> 00:31:52,840 Speaker 1: a similar situation where I had a baby as a teenager, 578 00:31:53,040 --> 00:31:55,320 Speaker 1: and I was kind of like living with my mom 579 00:31:55,360 --> 00:31:57,600 Speaker 1: and dad, but sometimes we moved out if I had 580 00:31:57,640 --> 00:32:01,600 Speaker 1: go to school or whatever. And and Momum always said 581 00:32:01,600 --> 00:32:04,000 Speaker 1: this about this case because I used to talk to her, 582 00:32:04,120 --> 00:32:06,200 Speaker 1: like I talked to her like every day or every 583 00:32:06,240 --> 00:32:08,800 Speaker 1: other day, and she would talk to you, and she's 584 00:32:08,880 --> 00:32:12,960 Speaker 1: just like if I if I didn't really think that 585 00:32:13,080 --> 00:32:16,440 Speaker 1: you that Maria was around, especially when you were a 586 00:32:16,440 --> 00:32:19,240 Speaker 1: little kid. You're you know, like you're five and six 587 00:32:19,280 --> 00:32:23,360 Speaker 1: years old. Like how old were we when we moved 588 00:32:23,480 --> 00:32:25,719 Speaker 1: to the city for me to go to Jefferson like 589 00:32:25,760 --> 00:32:29,000 Speaker 1: you you were. I was in second grade? Second grade, right, 590 00:32:29,000 --> 00:32:32,800 Speaker 1: so you were like seven and seven. Okay, so I'm 591 00:32:32,920 --> 00:32:35,680 Speaker 1: there not living near her. She can't see me every 592 00:32:35,720 --> 00:32:40,160 Speaker 1: single day if she wasn't hearing from you every couple days, 593 00:32:40,200 --> 00:32:43,440 Speaker 1: just because I was so young too, you think that 594 00:32:43,480 --> 00:32:46,480 Speaker 1: she wouldn't be like, let me drive over there and 595 00:32:46,520 --> 00:32:51,080 Speaker 1: see what's going on in like thirty days. No, I'm sorry, 596 00:32:51,240 --> 00:32:55,240 Speaker 1: Like I understand it's not their kid, but still it's weird. 597 00:32:55,360 --> 00:32:58,200 Speaker 1: It's just weird. They lived with them for a long 598 00:32:58,280 --> 00:32:58,920 Speaker 1: period of time. 599 00:32:58,960 --> 00:32:59,200 Speaker 2: It is. 600 00:33:00,760 --> 00:33:03,920 Speaker 1: You just have when you're when you're born into a 601 00:33:03,960 --> 00:33:07,600 Speaker 1: situation where you're a teen mom, you usually are kind 602 00:33:07,600 --> 00:33:10,440 Speaker 1: of raising that kid with like the rest of your family, 603 00:33:10,560 --> 00:33:12,600 Speaker 1: So it's just a little bit of a different dynamic 604 00:33:12,680 --> 00:33:18,200 Speaker 1: than your your grandparents have with with children. And I 605 00:33:18,320 --> 00:33:22,640 Speaker 1: just I just think that the whole thing stinks, Like 606 00:33:23,040 --> 00:33:26,600 Speaker 1: the whole story stinks, and I don't like how they 607 00:33:27,280 --> 00:33:29,280 Speaker 1: seem like they're victims of it or something. 608 00:33:29,600 --> 00:33:32,480 Speaker 2: Yeah, I believe it had to be before we launch 609 00:33:32,560 --> 00:33:35,800 Speaker 2: Mother Knows Death, But I know when that Peacock series 610 00:33:35,840 --> 00:33:39,440 Speaker 2: came out interviewing Casey Anthony that we had recapped it. 611 00:33:39,440 --> 00:33:41,040 Speaker 2: It has to be in the grosser room, because I 612 00:33:41,040 --> 00:33:44,120 Speaker 2: know we did an audio recapping it. Yeah, but at 613 00:33:44,120 --> 00:33:47,120 Speaker 2: that time I had said that, like, I, even after 614 00:33:47,160 --> 00:33:50,880 Speaker 2: hearing her speak, had a little more sympathy for her. 615 00:33:51,280 --> 00:33:54,680 Speaker 2: And that's because I saw how gross the parents were 616 00:33:54,720 --> 00:33:58,480 Speaker 2: also acting. Not saying she's innocent, I'm just saying all 617 00:33:58,480 --> 00:34:00,000 Speaker 2: three of them, yeah, have grown. 618 00:34:00,680 --> 00:34:03,280 Speaker 1: I'm not either. I'm just exactly like, I'm just kind 619 00:34:03,280 --> 00:34:04,960 Speaker 1: of like, I don't know what the hell was going 620 00:34:05,000 --> 00:34:06,960 Speaker 1: on in that house, but there was something going on 621 00:34:07,040 --> 00:34:10,279 Speaker 1: in that house that's always weird. Would say, Okay, let's 622 00:34:10,280 --> 00:34:13,560 Speaker 1: get onto our last story, because this one is is 623 00:34:13,640 --> 00:34:14,160 Speaker 1: so weird. 624 00:34:14,880 --> 00:34:18,280 Speaker 2: A patient is claiming that at the luxury Alexandra Cohen 625 00:34:18,360 --> 00:34:20,799 Speaker 2: Hospital for Women in Newborns in New York City that 626 00:34:20,880 --> 00:34:23,800 Speaker 2: her family got a flea infestation that caused them to 627 00:34:23,840 --> 00:34:26,239 Speaker 2: have to vacate their homes so it could be fumigated. 628 00:34:27,239 --> 00:34:30,480 Speaker 1: So why is this considered luxury? 629 00:34:30,920 --> 00:34:33,480 Speaker 2: So this is a private hospital, and I guess it 630 00:34:33,600 --> 00:34:36,799 Speaker 2: costs about thirty grand out of pocket to give birth there. 631 00:34:36,840 --> 00:34:40,520 Speaker 2: It's in like the Upper East Side. And this is 632 00:34:40,560 --> 00:34:44,040 Speaker 2: the most ridiculous thing is that Chanelle gave the hospital 633 00:34:44,120 --> 00:34:47,320 Speaker 2: one point five million dollars a couple of years ago. 634 00:34:47,480 --> 00:34:50,280 Speaker 2: So every mother that gives birth there gets a Chanelle 635 00:34:50,280 --> 00:34:53,680 Speaker 2: gift bag. And I'm thinking, like, you're getting a purse, right, 636 00:34:54,000 --> 00:34:56,640 Speaker 2: But no, you're getting like a perfume, a lipstick, and 637 00:34:56,680 --> 00:34:59,400 Speaker 2: a face wash, which is only about two hundred dollars 638 00:34:59,400 --> 00:35:00,880 Speaker 2: in value. No. 639 00:35:01,080 --> 00:35:04,520 Speaker 1: I was thinking, because like listen, one point five million 640 00:35:04,560 --> 00:35:07,440 Speaker 1: dollars worth of Chanelle is just not that's not that 641 00:35:07,560 --> 00:35:13,080 Speaker 1: many products, because some of their purses are five ten 642 00:35:13,600 --> 00:35:15,040 Speaker 1: forty thousand dollars. 643 00:35:15,360 --> 00:35:18,640 Speaker 2: Even on the real reel, you can't get a purse 644 00:35:18,719 --> 00:35:20,280 Speaker 2: for like under five grand. 645 00:35:20,320 --> 00:35:24,279 Speaker 1: And that's a used bag. Think about that. Oh, I know, 646 00:35:25,040 --> 00:35:28,040 Speaker 1: I I do think about it, and I just think 647 00:35:28,080 --> 00:35:32,319 Speaker 1: that it's like I was thinking, they probably got a 648 00:35:32,480 --> 00:35:36,680 Speaker 1: Chanelle gift bag, like a really nice like a gift 649 00:35:36,719 --> 00:35:39,880 Speaker 1: bag that you would give a birthday present in one 650 00:35:39,880 --> 00:35:42,400 Speaker 1: of those paper ones, and then it had one of 651 00:35:42,440 --> 00:35:45,200 Speaker 1: those cards that's like a pamphlet cut in half with 652 00:35:45,239 --> 00:35:47,480 Speaker 1: a perfume sample that you would get at like Oulta 653 00:35:47,640 --> 00:35:51,080 Speaker 1: or Sephora or something that's I'm I was thinking that 654 00:35:51,080 --> 00:35:54,279 Speaker 1: that it's like shit like that, and like who wants 655 00:35:54,360 --> 00:35:57,640 Speaker 1: Chanelle perfume? It smells like ass, Like it's terrible. 656 00:35:58,239 --> 00:36:02,160 Speaker 2: I one hundred percent agree with you overfu spell so disgusting. 657 00:36:02,320 --> 00:36:04,360 Speaker 1: It's it's one of the you know how there's like 658 00:36:05,480 --> 00:36:08,680 Speaker 1: all of these trends that everybody just does it because 659 00:36:08,680 --> 00:36:11,239 Speaker 1: it's it's so chic, and you're just like that's the 660 00:36:12,040 --> 00:36:17,080 Speaker 1: it's the worst smelling perfume or the ugliest sweater or 661 00:36:17,120 --> 00:36:20,080 Speaker 1: something like that, like that burken bag. I'm sorry, Like 662 00:36:20,120 --> 00:36:23,600 Speaker 1: it's just ugly. It's it's ugly and basic, bitch and boring, 663 00:36:23,640 --> 00:36:26,000 Speaker 1: and everybody's just like, no, I need to spend one 664 00:36:26,040 --> 00:36:29,200 Speaker 1: hundred and fifty thousand dollars on this and you're just like, dude, 665 00:36:29,239 --> 00:36:31,680 Speaker 1: it ain't even cute, like you're lying to yourself, you're 666 00:36:31,719 --> 00:36:35,080 Speaker 1: lying to everybody about it. It's just you're all you're 667 00:36:35,120 --> 00:36:39,400 Speaker 1: all on, like you're all into this trend. That's that's dumb. 668 00:36:39,600 --> 00:36:43,120 Speaker 2: I only understand buying a burkin if you actually have 669 00:36:43,239 --> 00:36:46,680 Speaker 2: a lot of money, and like I believe a burkin 670 00:36:46,840 --> 00:36:49,520 Speaker 2: is considered a smart investment, which is something that will 671 00:36:49,520 --> 00:36:53,680 Speaker 2: always appreciate in value. So if you're buying luxury goods 672 00:36:53,719 --> 00:36:56,080 Speaker 2: like that, from an investment perspective, a burkin is a 673 00:36:56,120 --> 00:36:59,840 Speaker 2: good investment. That's my understanding of it. I personally like 674 00:37:00,080 --> 00:37:02,799 Speaker 2: the way the Kelly bag looks from Irmaz, but it's 675 00:37:02,880 --> 00:37:06,520 Speaker 2: also plain and I don't think worth fifty thousand dollars. 676 00:37:06,560 --> 00:37:08,920 Speaker 2: I mean, if I get one for free, different story, 677 00:37:09,400 --> 00:37:14,040 Speaker 2: Like that's never gonna happen. But yeah, I just think 678 00:37:14,080 --> 00:37:18,000 Speaker 2: this is like so ridiculous that we're thinking about getting 679 00:37:18,040 --> 00:37:20,640 Speaker 2: this Chanelle gift bag and giving birth at this like 680 00:37:20,719 --> 00:37:25,960 Speaker 2: quote unquote luxury maternal hospital in the Upper East Side. 681 00:37:25,640 --> 00:37:29,400 Speaker 1: They put like diamond encrusted speculum menu and stuff. 682 00:37:29,520 --> 00:37:33,359 Speaker 2: Well they should at this rate because it's ridiculous and 683 00:37:33,400 --> 00:37:35,759 Speaker 2: you have to I guess my question is, like, do 684 00:37:35,800 --> 00:37:38,279 Speaker 2: you have to pay out of pocket to give birth there? 685 00:37:38,320 --> 00:37:40,160 Speaker 2: They just don't even take insurance. 686 00:37:41,680 --> 00:37:43,960 Speaker 1: I don't know how this setup is. I mean, there's 687 00:37:44,080 --> 00:37:47,680 Speaker 1: there's definitely a difference between I've worked at private hospital 688 00:37:47,680 --> 00:37:52,120 Speaker 1: and a public hospital, But I don't see why they 689 00:37:52,160 --> 00:37:56,320 Speaker 1: wouldn't take insurance. But they probably do for the basic 690 00:37:56,760 --> 00:37:59,600 Speaker 1: delivery part of it, but the actual room you might 691 00:37:59,640 --> 00:38:02,680 Speaker 1: be paying extra four because it's like more of a 692 00:38:02,680 --> 00:38:05,200 Speaker 1: hotel setup or something like that. Part of it might 693 00:38:05,239 --> 00:38:09,480 Speaker 1: not be covered the extras, you know. So all right, 694 00:38:09,560 --> 00:38:12,839 Speaker 1: So this lady gives birth there and she goes home 695 00:38:12,880 --> 00:38:15,880 Speaker 1: for the second time. It was her second delivery there. Yeah, 696 00:38:15,920 --> 00:38:18,480 Speaker 1: so I guess the first time she had a positive experience. 697 00:38:18,480 --> 00:38:21,920 Speaker 1: So she goes home and has all these bites all 698 00:38:21,920 --> 00:38:25,920 Speaker 1: over her body and figures out that she has a 699 00:38:25,960 --> 00:38:30,000 Speaker 1: fleet infestation that she has brought home to her house. 700 00:38:30,560 --> 00:38:33,080 Speaker 2: Well, she's saying that the first sign of it was 701 00:38:33,120 --> 00:38:36,200 Speaker 2: that when she was transferred to the postpartum suite, she 702 00:38:36,440 --> 00:38:39,319 Speaker 2: noticed that there was holes in the sheets, which I mean, 703 00:38:39,360 --> 00:38:42,680 Speaker 2: if you're paying that much money to deliver at the hospital, 704 00:38:42,840 --> 00:38:45,239 Speaker 2: which I guess in theory, any hospital is going to 705 00:38:45,320 --> 00:38:48,000 Speaker 2: charge you out the ass to give birth, right, so whatever. 706 00:38:48,360 --> 00:38:51,840 Speaker 2: But no hospital you go in, regardless, should have any 707 00:38:51,840 --> 00:38:54,120 Speaker 2: holes in the sheets when you're going into the room. 708 00:38:54,480 --> 00:38:56,640 Speaker 2: And then she said, the first night she was in there, 709 00:38:56,680 --> 00:39:00,000 Speaker 2: her ankles became so incredibly itchy, and she was constantly 710 00:39:00,120 --> 00:39:02,799 Speaker 2: bending over to itch them, which wasn't good because she 711 00:39:02,880 --> 00:39:03,680 Speaker 2: had a C section. 712 00:39:03,760 --> 00:39:05,200 Speaker 1: You're not supposed to bend like that. 713 00:39:05,640 --> 00:39:08,359 Speaker 2: And then she was wearing compression socks at the time too, 714 00:39:08,400 --> 00:39:11,279 Speaker 2: that she said were freshly laundered from her own home, 715 00:39:11,360 --> 00:39:14,040 Speaker 2: so she thought it was especially weird how itchy her 716 00:39:14,080 --> 00:39:16,960 Speaker 2: ankles were. And then when she got home, the bite 717 00:39:16,960 --> 00:39:19,640 Speaker 2: started turning into blisters and hurting so bad. And then 718 00:39:19,680 --> 00:39:22,960 Speaker 2: she physically saw a flea on her bed, jumping around. 719 00:39:24,120 --> 00:39:26,680 Speaker 2: So came to the conclusion that the flea came from 720 00:39:26,719 --> 00:39:27,200 Speaker 2: the hospital. 721 00:39:27,239 --> 00:39:29,360 Speaker 1: I don't know, like, I just think that this is 722 00:39:29,440 --> 00:39:36,160 Speaker 1: highly unlikely. Why because of just because of the way, like, 723 00:39:37,880 --> 00:39:42,200 Speaker 1: there's no there's no animals that are there living there, right, 724 00:39:42,800 --> 00:39:45,440 Speaker 1: So the only way that that's happening is that a 725 00:39:45,560 --> 00:39:49,800 Speaker 1: human unless someone brought in like a service dog or something, 726 00:39:49,800 --> 00:39:52,759 Speaker 1: which is possible. But it's still it's not living there. 727 00:39:52,800 --> 00:39:54,879 Speaker 1: So the only way that it even got it could 728 00:39:54,920 --> 00:39:56,839 Speaker 1: have got there in the first place was that came 729 00:39:56,880 --> 00:40:02,759 Speaker 1: from someone's belongings, which just totally possible. Someone had. You know, 730 00:40:03,080 --> 00:40:05,799 Speaker 1: we were talking about this, how people pack their maternity 731 00:40:05,840 --> 00:40:08,480 Speaker 1: bag six months before they're getting ready to have a baby, 732 00:40:08,480 --> 00:40:10,239 Speaker 1: and they've been sitting by the door because they just 733 00:40:10,239 --> 00:40:11,759 Speaker 1: think their water is gonna break and they have to 734 00:40:11,760 --> 00:40:14,640 Speaker 1: be as a hospital in five minutes, so they so 735 00:40:14,760 --> 00:40:18,200 Speaker 1: they yes. In other words, you so they have their 736 00:40:18,239 --> 00:40:21,400 Speaker 1: bag and they have fleas in their house and that 737 00:40:21,680 --> 00:40:24,200 Speaker 1: could get That's how it gets on the bag, and 738 00:40:24,200 --> 00:40:26,960 Speaker 1: then the person brings the bag to the hospital and 739 00:40:27,000 --> 00:40:32,880 Speaker 1: then it goes there. So fleas like ultimately they have 740 00:40:33,160 --> 00:40:36,520 Speaker 1: a life cycle, but but like they need human a 741 00:40:36,600 --> 00:40:41,839 Speaker 1: human host at some point. So and no one, no 742 00:40:41,880 --> 00:40:44,600 Speaker 1: one is really living there, and it's in a situation 743 00:40:44,719 --> 00:40:47,759 Speaker 1: where so let's say you see fleas and you kill them, 744 00:40:47,760 --> 00:40:49,759 Speaker 1: they're you know, they're like a pain, They're like lice. 745 00:40:49,800 --> 00:40:51,279 Speaker 1: They're a pain in the ass to get rid of 746 00:40:51,360 --> 00:40:53,600 Speaker 1: because you kill all the bugs, but all of the 747 00:40:53,640 --> 00:40:55,879 Speaker 1: eggs are still all over the floor. And then that's 748 00:40:55,920 --> 00:41:00,680 Speaker 1: the lifestyle cycle. Keeps continuing and continue, and that you 749 00:41:00,760 --> 00:41:03,600 Speaker 1: have to kill the eggs because they're gonna hatch and 750 00:41:03,600 --> 00:41:05,080 Speaker 1: then the bugs are gonna be there. And it's like 751 00:41:05,080 --> 00:41:10,120 Speaker 1: a circle circle, right, But like a hospital is doesn't 752 00:41:10,120 --> 00:41:14,279 Speaker 1: have carpet, has sheets and stuff that are cleaned all 753 00:41:14,400 --> 00:41:18,640 Speaker 1: the time and bleached and and like chemicals. I mean, 754 00:41:18,640 --> 00:41:21,600 Speaker 1: you're giving birth. It's like they're not gonna have blood 755 00:41:21,600 --> 00:41:23,879 Speaker 1: and stuff falling on the ground without using some kind 756 00:41:23,880 --> 00:41:29,680 Speaker 1: of aniseptic wash some like usually a bleached product or 757 00:41:29,680 --> 00:41:35,640 Speaker 1: some kind of hospital grade lysol product whatever. I just 758 00:41:35,840 --> 00:41:38,120 Speaker 1: I don't know, Like it just seems to me like 759 00:41:39,120 --> 00:41:41,520 Speaker 1: if was it a flea or was it a bed bug, 760 00:41:41,600 --> 00:41:44,840 Speaker 1: because I think a bedbug could be more likely, although 761 00:41:44,920 --> 00:41:48,319 Speaker 1: it's just still bedbugs don't like jump. 762 00:41:48,400 --> 00:41:50,960 Speaker 2: Or if she's saying she saw the bug jumping around, 763 00:41:51,040 --> 00:41:54,200 Speaker 2: I believe that would be a flea because don't bedbugs 764 00:41:54,280 --> 00:41:56,240 Speaker 2: hide under the mattress and stuff. 765 00:41:56,480 --> 00:41:59,040 Speaker 1: Yeah, I mean, and they don't. I don't know, Like 766 00:41:59,120 --> 00:42:01,239 Speaker 1: I mean, I guess there's a possibility too if there's 767 00:42:01,239 --> 00:42:03,799 Speaker 1: some kind of like a rat infestation, that they're there. 768 00:42:04,160 --> 00:42:07,719 Speaker 2: They just worth noting, however, or that other people have 769 00:42:07,840 --> 00:42:13,520 Speaker 2: criticized this hospital for being very unclean and overcrowded, with 770 00:42:13,960 --> 00:42:17,680 Speaker 2: some people saying that there's unknown stains all over the 771 00:42:17,719 --> 00:42:21,160 Speaker 2: floor and amniotic fluid just splashed on the floor. 772 00:42:21,200 --> 00:42:22,960 Speaker 1: How would you know if it was that or not. 773 00:42:23,040 --> 00:42:23,880 Speaker 1: I don't really know. 774 00:42:24,400 --> 00:42:27,960 Speaker 2: And then someone else said that they noticed a woman 775 00:42:28,000 --> 00:42:31,720 Speaker 2: whose back was caked with dried poop from an unknown source. 776 00:42:32,960 --> 00:42:35,719 Speaker 1: It just seems I just feel like, it seems like 777 00:42:35,840 --> 00:42:39,240 Speaker 1: such a stretch that someone would have had fleas, brought 778 00:42:39,239 --> 00:42:43,560 Speaker 1: it in on their bag, and then they multiplied to 779 00:42:43,640 --> 00:42:47,200 Speaker 1: the point where they were in a room that was uninhabited, 780 00:42:47,280 --> 00:42:50,400 Speaker 1: and then this woman came in and got so many 781 00:42:50,440 --> 00:42:53,440 Speaker 1: fleas that she brought them home and her house got infested. 782 00:42:53,480 --> 00:42:56,520 Speaker 1: It just is. It's such a stretch. It is. 783 00:42:56,560 --> 00:42:59,160 Speaker 2: But another weird thing to point out is that the 784 00:42:59,200 --> 00:43:03,160 Speaker 2: hospital did agree to pay for the exterminator, which I 785 00:43:03,360 --> 00:43:08,160 Speaker 2: as a quote courtesy, which I just thought was unusual. 786 00:43:09,239 --> 00:43:12,279 Speaker 1: Well is the courtesy like, shut the fuck up? Just 787 00:43:13,200 --> 00:43:14,040 Speaker 1: the press. 788 00:43:15,600 --> 00:43:17,760 Speaker 2: I'd be like, I'd pay for it, but you're signing 789 00:43:17,760 --> 00:43:18,360 Speaker 2: this NDA. 790 00:43:18,560 --> 00:43:20,480 Speaker 1: I don't know, Like I just want to know. I 791 00:43:20,640 --> 00:43:24,640 Speaker 1: just really want to know how I mean, obviously, if 792 00:43:24,719 --> 00:43:27,439 Speaker 1: she has a flea infestation, I would. I would say 793 00:43:27,480 --> 00:43:31,080 Speaker 1: that it's that it's unlikely that she has an animal 794 00:43:31,120 --> 00:43:33,000 Speaker 1: living in the house, like a dog or a cat, 795 00:43:33,040 --> 00:43:36,239 Speaker 1: because how else would how else would she be able 796 00:43:36,280 --> 00:43:39,040 Speaker 1: to prove that she got it there? But were they 797 00:43:39,080 --> 00:43:42,200 Speaker 1: traveling recently? Could she have picked it up somewhere else? 798 00:43:42,320 --> 00:43:44,520 Speaker 1: Like I don't know, Like I just think it's such 799 00:43:44,520 --> 00:43:45,080 Speaker 1: a stretch. 800 00:43:45,920 --> 00:43:48,080 Speaker 2: Yeah, but think about the people that are going to 801 00:43:48,120 --> 00:43:51,239 Speaker 2: this hospital. They're probably Upper east Side rich Karens that 802 00:43:51,440 --> 00:43:55,840 Speaker 2: just can't possibly fathom their apartment building have a flea. 803 00:43:55,600 --> 00:43:58,399 Speaker 1: In it, right. Well, no, I mean, like, listen, it's 804 00:43:58,400 --> 00:44:00,959 Speaker 1: such a bitch to get fleas that I would be 805 00:44:01,960 --> 00:44:05,520 Speaker 1: really pissed if I got it from somebody's house, especially 806 00:44:05,719 --> 00:44:08,360 Speaker 1: from a hospital that I was paying, even if I 807 00:44:08,480 --> 00:44:11,160 Speaker 1: was paying nothing. But they gave you that perfume, so 808 00:44:11,320 --> 00:44:14,960 Speaker 1: shut up. I think this solution is to just use 809 00:44:15,040 --> 00:44:17,680 Speaker 1: the Chanelle perfume and spray your house and everything will 810 00:44:17,719 --> 00:44:22,360 Speaker 1: die because it's so toxic. Didn't like Jackie O or 811 00:44:22,440 --> 00:44:25,480 Speaker 1: somebody wore somebody like or Elizabeth Tell like somebody famous 812 00:44:25,520 --> 00:44:25,840 Speaker 1: wore it? 813 00:44:25,960 --> 00:44:26,120 Speaker 2: Right? 814 00:44:26,280 --> 00:44:29,719 Speaker 1: Like there was it's like that. I mean, like obviously 815 00:44:29,800 --> 00:44:32,040 Speaker 1: like Coco Chanel, all that stuff. 816 00:44:32,200 --> 00:44:34,879 Speaker 2: It's like that perfume smell though that the second your 817 00:44:34,920 --> 00:44:37,800 Speaker 2: nose makes contact with it, you feel like you're suffocating. 818 00:44:38,480 --> 00:44:41,719 Speaker 1: It's it's so terrible. So I just want to do 819 00:44:41,760 --> 00:44:44,120 Speaker 1: an experiment because if you think about, like I don't 820 00:44:44,160 --> 00:44:45,960 Speaker 1: know if you want to think about an actress right 821 00:44:46,000 --> 00:44:50,080 Speaker 1: now that's like really popular that everybody loves. I don't 822 00:44:50,080 --> 00:44:52,200 Speaker 1: know if there's anybody you could think off the top 823 00:44:52,239 --> 00:44:55,560 Speaker 1: of your head, but just think like Jennifer Anison for example. 824 00:44:55,600 --> 00:44:59,000 Speaker 1: Like it doesn't it's like a it's a typical like 825 00:44:59,040 --> 00:45:02,400 Speaker 1: product endorsement. Like if she was just like, oh, this 826 00:45:02,400 --> 00:45:05,680 Speaker 1: this one lifesaw that's lavender, it smells exactly like perfume, 827 00:45:05,719 --> 00:45:07,520 Speaker 1: and you could get It's only five dollars and you 828 00:45:07,560 --> 00:45:09,719 Speaker 1: could get it and it has the same chemicals as 829 00:45:10,239 --> 00:45:12,720 Speaker 1: this and blah blah blah, Like you'd have people buying 830 00:45:12,760 --> 00:45:15,960 Speaker 1: it because she said it was good. That's just how 831 00:45:16,000 --> 00:45:20,279 Speaker 1: it is. And there's been this weird tradition that has 832 00:45:20,320 --> 00:45:23,120 Speaker 1: gone on for way too long with Chanelle number five, 833 00:45:23,280 --> 00:45:27,840 Speaker 1: especially like it's it smells beyond old Lady. It just 834 00:45:27,920 --> 00:45:31,239 Speaker 1: smells like it smells like the section in CBS that 835 00:45:31,440 --> 00:45:35,640 Speaker 1: sells like explanation and sunflowers perfume from the eighties or something. 836 00:45:35,680 --> 00:45:40,320 Speaker 1: It just has this like low grade. Ugh, there's nothing 837 00:45:40,719 --> 00:45:41,719 Speaker 1: high end about it. 838 00:45:41,960 --> 00:45:43,880 Speaker 2: And I know we've been talking mad shit, but we 839 00:45:43,920 --> 00:45:45,319 Speaker 2: will accept your sponsorship. 840 00:45:45,360 --> 00:45:50,000 Speaker 1: Punit okay under your questions and emails. 841 00:45:50,040 --> 00:45:52,359 Speaker 2: If you have a story or question for us, please 842 00:45:52,360 --> 00:45:54,960 Speaker 2: submit them to stories at Mother Knows Death. Try to 843 00:45:55,040 --> 00:45:57,960 Speaker 2: keep them as brief as possible. This first one is 844 00:45:58,000 --> 00:46:01,799 Speaker 2: from Jenna. I'm a former e erner, current or nurse 845 00:46:01,840 --> 00:46:04,359 Speaker 2: about Tiger Woods in his twenty twenty one incident where 846 00:46:04,360 --> 00:46:08,239 Speaker 2: they didn't test him. Where I work in rural Nova, Scotia, Canada, 847 00:46:08,360 --> 00:46:11,120 Speaker 2: if we have a person come in a bad car accident, 848 00:46:11,160 --> 00:46:14,000 Speaker 2: we run a UDR as well as a BAC with 849 00:46:14,080 --> 00:46:16,680 Speaker 2: our routine work up, whether the police were involved or not. 850 00:46:17,120 --> 00:46:20,000 Speaker 2: If the person is completely incapacitated and needing to go 851 00:46:20,040 --> 00:46:22,800 Speaker 2: to surgery, they need to have a fully catheter placed 852 00:46:22,800 --> 00:46:25,000 Speaker 2: to drain the bladder, and labs run to determine the 853 00:46:25,080 --> 00:46:28,240 Speaker 2: baseline anyway, so while they are being prepped for ther 854 00:46:28,280 --> 00:46:31,000 Speaker 2: the stuff is included. That being said, I don't know 855 00:46:31,000 --> 00:46:33,920 Speaker 2: how other places work or their policies, but ninety nine 856 00:46:33,960 --> 00:46:36,319 Speaker 2: point nine percent of our doctors are going to order 857 00:46:36,360 --> 00:46:39,239 Speaker 2: those tests every time, and if they don't, the nurse 858 00:46:39,320 --> 00:46:41,600 Speaker 2: is going to insist they add them on what a 859 00:46:41,640 --> 00:46:42,560 Speaker 2: mess that guy is? 860 00:46:43,360 --> 00:46:46,600 Speaker 1: So someone so she's from Canada. Yeah, someone in the 861 00:46:46,600 --> 00:46:50,040 Speaker 1: grosser room also said a similar thing who works in America, 862 00:46:50,080 --> 00:46:53,400 Speaker 1: that they run their ICU nurse and they would run 863 00:46:54,600 --> 00:46:59,080 Speaker 1: like a like a drug screen on it. But would 864 00:46:59,120 --> 00:47:01,080 Speaker 1: you if it was Tiger? That's what I want to know. 865 00:47:01,120 --> 00:47:05,600 Speaker 1: And the other question that I had was because like, 866 00:47:06,160 --> 00:47:10,920 Speaker 1: and I don't know if this particular listener in Canada 867 00:47:11,080 --> 00:47:13,120 Speaker 1: or the one from the grosser room has ever dealt 868 00:47:13,160 --> 00:47:16,760 Speaker 1: with someone that was a VIP patient on that level, 869 00:47:16,840 --> 00:47:22,200 Speaker 1: because things are handled differently. I've witnessed it personally working 870 00:47:22,239 --> 00:47:26,240 Speaker 1: in a hospital in Philadelphia that has had some pretty 871 00:47:26,440 --> 00:47:29,719 Speaker 1: high level people as patients there, So things are just 872 00:47:29,760 --> 00:47:32,439 Speaker 1: handled a little bit differently. So that's question number one. 873 00:47:33,120 --> 00:47:35,760 Speaker 1: And then question number two I had for you guys 874 00:47:36,440 --> 00:47:41,879 Speaker 1: is how does that work with HIPPA Because typically when 875 00:47:41,920 --> 00:47:45,560 Speaker 1: you get any kind of lab work or blood test 876 00:47:45,600 --> 00:47:49,920 Speaker 1: done or anything like that, that's your private personal health information. 877 00:47:50,160 --> 00:47:54,759 Speaker 1: So how does that work? You're legally allowed to tell 878 00:47:54,800 --> 00:47:57,480 Speaker 1: the police that that was like I guess it doesn't 879 00:47:57,520 --> 00:48:00,399 Speaker 1: apply to testing like that, but I am just yes, 880 00:48:00,520 --> 00:48:04,720 Speaker 1: how you go about that without getting into trouble because 881 00:48:04,760 --> 00:48:11,640 Speaker 1: if it was another situation where a nurse was telling 882 00:48:11,719 --> 00:48:14,520 Speaker 1: results to somebody, they could get fired over that. So 883 00:48:15,040 --> 00:48:18,000 Speaker 1: what's the exception? I guess That's what I wanted to know, 884 00:48:18,320 --> 00:48:18,640 Speaker 1: all right. 885 00:48:18,719 --> 00:48:21,400 Speaker 2: Next is from the perspective of a cop, Crystal. She 886 00:48:21,440 --> 00:48:24,040 Speaker 2: has written in before, I'm a cop and in Delaware, 887 00:48:24,040 --> 00:48:26,839 Speaker 2: if someone is suspected of DUI but blows zero zero 888 00:48:26,920 --> 00:48:29,360 Speaker 2: on the breathalyzer, we will get a search warrant to 889 00:48:29,400 --> 00:48:32,000 Speaker 2: do a blood draw and charge with the DUI of drugs. 890 00:48:32,239 --> 00:48:34,520 Speaker 2: If we get that search warrant, they can't refuse the 891 00:48:34,520 --> 00:48:37,160 Speaker 2: blood draw, we will hold them down into a forcible 892 00:48:37,200 --> 00:48:41,520 Speaker 2: blood draw. We also have a quote drug recognition experts 893 00:48:41,520 --> 00:48:44,160 Speaker 2: that will call in to help to do other tests 894 00:48:44,160 --> 00:48:47,680 Speaker 2: and pinpoint exactly which drug they believe they're on, but 895 00:48:47,920 --> 00:48:50,080 Speaker 2: we will always get the blood draw after that. I'm 896 00:48:50,080 --> 00:48:52,000 Speaker 2: not sure how things work in other states, but I 897 00:48:52,040 --> 00:48:53,040 Speaker 2: assume similarly. 898 00:48:54,760 --> 00:48:57,000 Speaker 1: That's interesting. Thank you for sharing that. So I have 899 00:48:57,040 --> 00:49:01,200 Speaker 1: another question for you if you're listening. So yesterday my 900 00:49:01,960 --> 00:49:05,120 Speaker 1: so my car was getting serviced yesterday and my husband 901 00:49:05,280 --> 00:49:08,400 Speaker 1: was driving me and one of my daughters to the 902 00:49:08,440 --> 00:49:11,799 Speaker 1: dealership to go pick up my car, and we were 903 00:49:12,440 --> 00:49:15,720 Speaker 1: en route seventy it's like a major it's not a highway, 904 00:49:15,840 --> 00:49:20,120 Speaker 1: but it's it's not. The speed limits pretty high, probably 905 00:49:20,160 --> 00:49:23,440 Speaker 1: forty or fifty, I don't know, or people drive that 906 00:49:23,560 --> 00:49:27,400 Speaker 1: fast on it anyway, and there's construction going on, and 907 00:49:27,480 --> 00:49:29,879 Speaker 1: someone you know that didn't know how to drive, came 908 00:49:29,920 --> 00:49:32,960 Speaker 1: to a complete stop in front of one of the 909 00:49:33,160 --> 00:49:35,360 Speaker 1: those orange not the cones, but you know those like 910 00:49:35,520 --> 00:49:39,200 Speaker 1: circular big tube things, like the barrier things. Okay, so 911 00:49:39,239 --> 00:49:41,680 Speaker 1: someone in front of us came to a complete stop 912 00:49:41,760 --> 00:49:43,640 Speaker 1: to which we had to come to a complete stop, 913 00:49:43,680 --> 00:49:45,960 Speaker 1: and then the person that was driving behind us, that 914 00:49:46,080 --> 00:49:50,319 Speaker 1: was probably going like thirty plus miles an hour like 915 00:49:51,360 --> 00:49:54,920 Speaker 1: completely slammed into the back of our car right and 916 00:49:54,960 --> 00:49:58,000 Speaker 1: we were look we were looking at this particular car 917 00:49:58,719 --> 00:50:01,880 Speaker 1: through multiple traffic lights because they were driving some like 918 00:50:02,000 --> 00:50:06,400 Speaker 1: hooped pt cruiser. Okay, like how I don't even know 919 00:50:06,440 --> 00:50:08,960 Speaker 1: the last time that car was driven, but just like 920 00:50:09,400 --> 00:50:11,600 Speaker 1: they had their windows down and were smoking, and we 921 00:50:11,600 --> 00:50:13,680 Speaker 1: were stuck in traffic at some point and it was 922 00:50:13,840 --> 00:50:15,560 Speaker 1: going into my car which is like one of my 923 00:50:15,760 --> 00:50:19,200 Speaker 1: number one pet peeves of all time. When people smoke, 924 00:50:19,840 --> 00:50:22,000 Speaker 1: either in traffic or in a drive through line, it's 925 00:50:22,040 --> 00:50:25,680 Speaker 1: so freaking rude. So we were onto these people and 926 00:50:25,719 --> 00:50:28,960 Speaker 1: they got out and they were just like completely like 927 00:50:29,160 --> 00:50:33,960 Speaker 1: on something. It was like two older dudes, and like 928 00:50:35,080 --> 00:50:37,920 Speaker 1: Gabe was just like, they're they're high, Like it's obvious 929 00:50:37,960 --> 00:50:40,759 Speaker 1: that they're high or something like something was up. So 930 00:50:41,200 --> 00:50:44,560 Speaker 1: we Gabe did say something to the officers, but like, 931 00:50:44,760 --> 00:50:47,400 Speaker 1: how does that go from there? Did they do anything? 932 00:50:47,440 --> 00:50:49,719 Speaker 1: Do they mand it to Like is that something that 933 00:50:49,760 --> 00:50:54,319 Speaker 1: the cops have to decide for themselves or because we 934 00:50:54,360 --> 00:50:56,480 Speaker 1: had that situation too with my neighbor that got hit 935 00:50:56,520 --> 00:50:58,560 Speaker 1: by someone that opened their car and their car stunk 936 00:50:58,600 --> 00:51:01,680 Speaker 1: like weed, and like the he said something to the cops, 937 00:51:01,680 --> 00:51:05,280 Speaker 1: but that's it. But I guess in this particular situation, 938 00:51:05,320 --> 00:51:10,200 Speaker 1: it doesn't really matter per se because it was their fault. 939 00:51:10,320 --> 00:51:12,480 Speaker 1: The cops determined it was their fault that they hit us. 940 00:51:12,520 --> 00:51:15,120 Speaker 1: But like we still have like a couple thousand dollars 941 00:51:15,320 --> 00:51:19,279 Speaker 1: car repair now that well they did they even have insurance, 942 00:51:20,880 --> 00:51:23,479 Speaker 1: the cops said. I guess the cops said that they did, 943 00:51:23,560 --> 00:51:25,560 Speaker 1: but like I'm not putting. I don't want to put 944 00:51:25,600 --> 00:51:27,920 Speaker 1: in an insurance claim because our insurance will go up 945 00:51:28,440 --> 00:51:30,120 Speaker 1: way more than the repair cost. 946 00:51:30,520 --> 00:51:34,080 Speaker 2: You know that insurance should cover the cost of your damage. 947 00:51:34,560 --> 00:51:35,520 Speaker 1: Is that how that works? 948 00:51:35,560 --> 00:51:35,680 Speaker 2: So? 949 00:51:35,880 --> 00:51:40,160 Speaker 1: But do I have to call my insurance to handle that? I? Like, 950 00:51:40,239 --> 00:51:43,120 Speaker 1: I just don't know. I have been burned so bad 951 00:51:43,680 --> 00:51:46,280 Speaker 1: by the car insurance and my payment is finally normal, 952 00:51:46,360 --> 00:51:49,319 Speaker 1: So I just don't even want to let them. I 953 00:51:49,320 --> 00:51:51,200 Speaker 1: don't want to let them in on it because of that. 954 00:51:51,280 --> 00:51:56,160 Speaker 1: But I guess my question is under what, like the 955 00:51:56,239 --> 00:51:59,439 Speaker 1: officer has to determine that they're intoxicated. I guess that's 956 00:52:00,040 --> 00:52:01,880 Speaker 1: why you would do it, Like, do you have to 957 00:52:01,920 --> 00:52:05,239 Speaker 1: have an actual documented reason to test somebody? Or can 958 00:52:05,280 --> 00:52:06,759 Speaker 1: you just test whoever you want to? 959 00:52:07,480 --> 00:52:10,000 Speaker 2: I don't know how you would handle that. Somebody could 960 00:52:10,000 --> 00:52:13,560 Speaker 2: write in and let us know, or I would ask around, honestly, 961 00:52:13,600 --> 00:52:15,680 Speaker 2: because I would try to get their insurance to pay 962 00:52:15,719 --> 00:52:19,439 Speaker 2: for it since it was already determined to be their fault. Yeah, 963 00:52:19,560 --> 00:52:20,960 Speaker 2: so all right. 964 00:52:21,680 --> 00:52:22,760 Speaker 1: Last is from Dawn. 965 00:52:23,440 --> 00:52:25,359 Speaker 2: My family was forced to move to a new state 966 00:52:25,440 --> 00:52:27,799 Speaker 2: due to a promotion at work. I'm usually introverted and 967 00:52:27,840 --> 00:52:30,160 Speaker 2: don't make friends easily, but I quickly made friends with 968 00:52:30,200 --> 00:52:32,080 Speaker 2: the lady who lived across the street from me, who 969 00:52:32,160 --> 00:52:34,319 Speaker 2: had kids the same age as mine. Let's call her 970 00:52:34,360 --> 00:52:37,720 Speaker 2: Mom A. I met some other moms through her. Another 971 00:52:37,800 --> 00:52:40,040 Speaker 2: mom in the group, which we'll refer to as Mom B, 972 00:52:40,600 --> 00:52:43,000 Speaker 2: is a nurse at the biggest hospital in our town. 973 00:52:43,480 --> 00:52:45,319 Speaker 2: Mom A and I had a falling out and she 974 00:52:45,360 --> 00:52:47,440 Speaker 2: made my life miserable for a couple of years, being 975 00:52:47,520 --> 00:52:50,560 Speaker 2: snarky and mean. Because of that, Mom B started doing 976 00:52:50,560 --> 00:52:52,799 Speaker 2: the same thing, but she hid the insults very well 977 00:52:52,800 --> 00:52:53,600 Speaker 2: and pretended to. 978 00:52:53,560 --> 00:52:54,200 Speaker 1: Be my friend. 979 00:52:54,760 --> 00:52:57,000 Speaker 2: During all of this, I had a quote mental crisis 980 00:52:57,000 --> 00:52:58,919 Speaker 2: and ended up in the hospital for a few days. 981 00:52:58,960 --> 00:53:02,400 Speaker 2: It was very private, very embarrassing. When I got home, 982 00:53:02,680 --> 00:53:04,680 Speaker 2: Mom A came over to my house and told me 983 00:53:04,760 --> 00:53:07,279 Speaker 2: that the day I went into the hospital, Mom B 984 00:53:07,480 --> 00:53:09,759 Speaker 2: came straight to her house after her shift and told 985 00:53:09,800 --> 00:53:12,640 Speaker 2: her all my private info and exactly why I was 986 00:53:12,680 --> 00:53:15,600 Speaker 2: in the hospital facts. No one except my husband and 987 00:53:15,640 --> 00:53:18,600 Speaker 2: the hospital staff knew. I was mortified and hurt. I 988 00:53:18,600 --> 00:53:21,759 Speaker 2: immediately reported her to the hospital. They did their own investigation. 989 00:53:22,239 --> 00:53:25,040 Speaker 2: They found that Mom B had accessed my info repeatedly 990 00:53:25,120 --> 00:53:27,239 Speaker 2: during my stay, and she had nothing to do with 991 00:53:27,280 --> 00:53:29,680 Speaker 2: my care while I was there. They also chose to 992 00:53:29,760 --> 00:53:32,160 Speaker 2: do nothing to her. I suspect that's because she was 993 00:53:32,320 --> 00:53:34,920 Speaker 2: very close to a few doctors who worked there. This 994 00:53:35,000 --> 00:53:37,120 Speaker 2: happened a few years ago, and I still refused to 995 00:53:37,120 --> 00:53:39,480 Speaker 2: go to that hospital or have my kids be seen there. 996 00:53:40,920 --> 00:53:43,520 Speaker 1: So my advice to you would be to report her. 997 00:53:43,800 --> 00:53:46,120 Speaker 1: If she's a nurse, I would report her to the 998 00:53:46,120 --> 00:53:50,560 Speaker 1: board and try to go like backdoor it from the hospital. 999 00:53:51,560 --> 00:53:54,920 Speaker 1: We know from our friend Amy Lochran at the hospital. 1000 00:53:55,520 --> 00:53:57,799 Speaker 1: Remember like all of the crazy stuff that was going 1001 00:53:57,840 --> 00:54:00,040 Speaker 1: on with her case, that the hospital was doing the 1002 00:54:00,160 --> 00:54:03,359 Speaker 1: investigations and finding things out and like keeping it hush hush. Yeah, 1003 00:54:03,360 --> 00:54:05,480 Speaker 1: it's a massive pr crazy. You kind of have to 1004 00:54:05,560 --> 00:54:09,920 Speaker 1: like there has to be you know, at least for us. 1005 00:54:10,040 --> 00:54:14,560 Speaker 1: So we have associations that like, you know, license or 1006 00:54:14,600 --> 00:54:17,839 Speaker 1: certify us. There has to be some association that you 1007 00:54:17,920 --> 00:54:21,320 Speaker 1: can go to that's above what's happening in the hospital 1008 00:54:21,360 --> 00:54:24,840 Speaker 1: there and report it. And I don't know if you 1009 00:54:24,960 --> 00:54:29,960 Speaker 1: have like the actual report that they did the investigation 1010 00:54:30,120 --> 00:54:34,040 Speaker 1: they did, because I don't see how they couldn't fire her. 1011 00:54:34,719 --> 00:54:37,080 Speaker 1: I mean I would go to NBC ten News and 1012 00:54:38,040 --> 00:54:40,400 Speaker 1: like you got to get you got to get somebody 1013 00:54:40,440 --> 00:54:44,799 Speaker 1: on that, because that that is like such a it's 1014 00:54:44,880 --> 00:54:48,960 Speaker 1: such a like that person should never be able to 1015 00:54:49,000 --> 00:54:51,760 Speaker 1: work in medicine. It's just such a break of trust 1016 00:54:51,880 --> 00:55:01,520 Speaker 1: and completely unethical and immature and losory and just petty. 1017 00:55:01,760 --> 00:55:02,480 Speaker 2: It just it. 1018 00:55:02,480 --> 00:55:05,120 Speaker 1: Breaks all And if she's doing that, she's doing other 1019 00:55:05,239 --> 00:55:07,560 Speaker 1: terrible shit too, Like it wasn't just to you. 1020 00:55:07,719 --> 00:55:11,880 Speaker 2: And the fact that they acknowledged that she repeatedly accessed 1021 00:55:11,880 --> 00:55:14,759 Speaker 2: your information despite not even being on your care team 1022 00:55:14,800 --> 00:55:17,000 Speaker 2: and then went on to share it with somebody else 1023 00:55:17,280 --> 00:55:20,759 Speaker 2: and did nothing about it is completely unacceptable. I don't 1024 00:55:20,760 --> 00:55:22,720 Speaker 2: blame you for not wanting to go to that hospital 1025 00:55:22,760 --> 00:55:25,280 Speaker 2: at all, because clearly they're not handling things right behind 1026 00:55:25,320 --> 00:55:25,840 Speaker 2: the scenes. 1027 00:55:26,680 --> 00:55:29,080 Speaker 1: Yeah, I wouldn't. I mean, I don't blame that either, 1028 00:55:29,160 --> 00:55:31,800 Speaker 1: But I wouldn't just like let this happen like this, 1029 00:55:31,800 --> 00:55:35,560 Speaker 1: This would be this would be my mission to make 1030 00:55:35,600 --> 00:55:38,880 Speaker 1: sure that she no longer does this ever again, Like, 1031 00:55:39,840 --> 00:55:44,480 Speaker 1: just find other avenues and report her to everyone, go 1032 00:55:44,520 --> 00:55:48,000 Speaker 1: on the news and name them, so let everybody. That's 1033 00:55:48,040 --> 00:55:50,399 Speaker 1: what that's what I'm thinking. You probably could just make 1034 00:55:50,440 --> 00:55:53,240 Speaker 1: a TikTok video and make it go viral at this point, 1035 00:55:53,280 --> 00:55:57,920 Speaker 1: like name everyone, name her. Yeah, I don't know. I'm 1036 00:55:57,920 --> 00:56:01,719 Speaker 1: not above being petty in that way. Done you right exactly? 1037 00:56:01,800 --> 00:56:04,680 Speaker 1: Because that's it's just it's absolutely not cool. Like and 1038 00:56:04,719 --> 00:56:09,440 Speaker 1: I understand what you're saying. You know, sometimes people have 1039 00:56:09,520 --> 00:56:11,480 Speaker 1: to go to the hospital because they're having a mental 1040 00:56:11,520 --> 00:56:14,279 Speaker 1: issue that they feel like they can't handle themselves, and 1041 00:56:14,960 --> 00:56:17,520 Speaker 1: shit like this is why people are scared to go 1042 00:56:17,560 --> 00:56:21,080 Speaker 1: because they don't want people to find out. And that's like, 1043 00:56:22,200 --> 00:56:26,200 Speaker 1: it's just completely unethical and it just it's just so 1044 00:56:26,360 --> 00:56:29,080 Speaker 1: wrong and she really needs to deserve to be punished 1045 00:56:29,120 --> 00:56:29,440 Speaker 1: for it. 1046 00:56:29,800 --> 00:56:33,480 Speaker 2: Yeah, and as like chronic oversharers ourselves, Like I don't 1047 00:56:33,560 --> 00:56:37,279 Speaker 2: I have no problem telling people information about myself on 1048 00:56:37,560 --> 00:56:40,239 Speaker 2: my time. If something happens to me that I don't 1049 00:56:40,280 --> 00:56:43,440 Speaker 2: want people knowing about I don't want somebody sharing it 1050 00:56:43,520 --> 00:56:46,080 Speaker 2: without my knowledge or when I'm not ready to come 1051 00:56:46,080 --> 00:56:47,960 Speaker 2: out with it, or if I don't ever want it 1052 00:56:48,000 --> 00:56:48,480 Speaker 2: to come out. 1053 00:56:48,680 --> 00:56:52,040 Speaker 1: It's nobody's business. Yeah, and it also affects your children 1054 00:56:52,080 --> 00:56:54,880 Speaker 1: and everything else. Like no, that's it's just not cool. 1055 00:56:55,960 --> 00:56:58,640 Speaker 2: I would say, I agree with you. Be petty, go 1056 00:56:58,760 --> 00:56:59,719 Speaker 2: to the news. 1057 00:56:59,400 --> 00:57:02,360 Speaker 1: Bike a tick or go to like the higher. 1058 00:57:02,239 --> 00:57:05,640 Speaker 2: Up organizations, even though I'm sure there's I'm sure if 1059 00:57:05,640 --> 00:57:08,480 Speaker 2: she goes to like a board or something, they'll be like, 1060 00:57:08,480 --> 00:57:11,640 Speaker 2: if not, you have limitations? Is up or whatever? Bullshit? 1061 00:57:11,680 --> 00:57:14,120 Speaker 2: If this was a couple of years ago, do something 1062 00:57:14,160 --> 00:57:16,280 Speaker 2: about it, because this lady should not be working with 1063 00:57:16,400 --> 00:57:17,240 Speaker 2: other patients. 1064 00:57:17,440 --> 00:57:19,160 Speaker 1: And I'm sorry they had to go through that. 1065 00:57:20,000 --> 00:57:22,480 Speaker 2: All right, guys, we have our live show, our last 1066 00:57:22,560 --> 00:57:24,840 Speaker 2: for a while due to the Bay Bay coming up 1067 00:57:24,880 --> 00:57:27,400 Speaker 2: this weekend. So Friday night you have your lecture in 1068 00:57:27,440 --> 00:57:30,080 Speaker 2: a little cocktail hour, and then Saturday we have the 1069 00:57:30,160 --> 00:57:32,720 Speaker 2: lectures with Scott Duffy, Joe Jacqueline and then the Mother 1070 00:57:32,840 --> 00:57:35,400 Speaker 2: Knows Death live show, So you guys are not gonna 1071 00:57:35,400 --> 00:57:38,360 Speaker 2: want to miss this. We have outrageous stories as always. 1072 00:57:38,680 --> 00:57:41,959 Speaker 1: Yes, we have some good ones picked out already and more. 1073 00:57:42,800 --> 00:57:45,479 Speaker 1: That's the best part of this job is that there's 1074 00:57:45,560 --> 00:57:48,440 Speaker 1: bound to be a lot of stuff happening between now 1075 00:57:48,480 --> 00:57:51,760 Speaker 1: and Saturday or when we're doing our live show, right, 1076 00:57:51,840 --> 00:57:55,560 Speaker 1: so anything could happen. We don't know. Nancy Gothrie might 1077 00:57:55,600 --> 00:57:58,600 Speaker 1: be solved, you know, they might find Jimmy Hoffa's body, 1078 00:57:58,800 --> 00:57:59,280 Speaker 1: all of it. 1079 00:57:59,400 --> 00:58:01,760 Speaker 2: So yeah, so there's still a couple of tickets left, 1080 00:58:01,800 --> 00:58:03,280 Speaker 2: so if you want to head to the description of 1081 00:58:03,320 --> 00:58:05,120 Speaker 2: this episode, you could check it out there. Or if 1082 00:58:05,120 --> 00:58:08,160 Speaker 2: you're a grocery member, don't forget that you get discounted tickets. 1083 00:58:08,160 --> 00:58:10,960 Speaker 2: You get basically half off, and it might benefit you 1084 00:58:11,040 --> 00:58:13,600 Speaker 2: to sign up because you get half off the ticket 1085 00:58:13,640 --> 00:58:16,280 Speaker 2: and then you get thousands of posts that you could 1086 00:58:16,360 --> 00:58:19,480 Speaker 2: read and share outrageous stories with your friends and family 1087 00:58:19,520 --> 00:58:22,520 Speaker 2: at the dinner table. Everybody loves it. 1088 00:58:22,720 --> 00:58:23,800 Speaker 1: Yes, it'll be great. 1089 00:58:24,040 --> 00:58:25,920 Speaker 2: All right, guys, please head over to Apple or Spotify, 1090 00:58:26,000 --> 00:58:28,320 Speaker 2: leavis or review, subscribe to our YouTube channel, and send 1091 00:58:28,360 --> 00:58:30,840 Speaker 2: your stories to stories at Mothernosdeath dot com. 1092 00:58:31,000 --> 00:58:36,919 Speaker 1: See you, TOMR. Guys, thank you for listening to Mother 1093 00:58:37,040 --> 00:58:40,760 Speaker 1: Nos Death. As a reminder, my training is as a 1094 00:58:40,800 --> 00:58:45,640 Speaker 1: pathologists assistant. I have a master's level education and specialize 1095 00:58:45,640 --> 00:58:49,720 Speaker 1: in anatomy and pathology education. I am not a doctor 1096 00:58:49,760 --> 00:58:52,760 Speaker 1: and I have not diagnosed or treated anyone dead or 1097 00:58:52,800 --> 00:58:58,040 Speaker 1: alive without the assistance of a licensed medical doctor. This show, 1098 00:58:58,440 --> 00:59:02,120 Speaker 1: my website, and social media accounts are designed to educate 1099 00:59:02,160 --> 00:59:06,120 Speaker 1: and inform people based on my experience working in pathology, 1100 00:59:06,600 --> 00:59:09,800 Speaker 1: so they can make healthier decisions regarding their life and 1101 00:59:09,880 --> 00:59:14,120 Speaker 1: well being Always remember that science is changing every day, 1102 00:59:14,160 --> 00:59:17,120 Speaker 1: and the opinions expressed in this episode are based on 1103 00:59:17,200 --> 00:59:19,920 Speaker 1: my knowledge of those subjects at the time of publication. 1104 00:59:21,120 --> 00:59:24,720 Speaker 1: If you are having a medical problem, have a medical question, 1105 00:59:25,280 --> 00:59:29,400 Speaker 1: or having a medical emergency, please contact your physician or 1106 00:59:29,520 --> 00:59:35,160 Speaker 1: visit an urgent care center, emergency room, or hospital. Please rate, review, 1107 00:59:35,280 --> 00:59:39,640 Speaker 1: and subscribe to Mother Knows Death on Apple, Spotify, YouTube, 1108 00:59:39,880 --> 00:59:49,840 Speaker 1: or anywhere you get podcasts. Thanks