1 00:00:08,119 --> 00:00:23,600 Speaker 1: Mother Knows Death starring Nicole and Jemmy and Maria qk. 2 00:00:20,800 --> 00:00:23,560 Speaker 2: Hi. Everyone welcome The Mother Knows Death. We have a 3 00:00:23,640 --> 00:00:26,439 Speaker 2: few announcements this week. First is that we have some 4 00:00:26,560 --> 00:00:28,800 Speaker 2: new merch. We have two new shirts that Maria and 5 00:00:28,880 --> 00:00:31,680 Speaker 2: I are wearing right now, so if you're watching on YouTube, 6 00:00:31,720 --> 00:00:34,360 Speaker 2: you can see our two new designs. So the first 7 00:00:34,360 --> 00:00:37,840 Speaker 2: one I'm wearing is this new Dora Mater crew neck. 8 00:00:37,960 --> 00:00:41,280 Speaker 2: It's a little drawling of your hand holding a scalpel blade. 9 00:00:41,320 --> 00:00:43,880 Speaker 2: It has some little details of your tattoos, your nails. 10 00:00:43,880 --> 00:00:47,040 Speaker 2: It's really cute. And then tell everybody what you're wearing. 11 00:00:47,840 --> 00:00:51,560 Speaker 2: And of course Dora Mater translates to tough mother in Latin, 12 00:00:51,760 --> 00:00:54,600 Speaker 2: and my shirt says more to iv vos docent, let 13 00:00:54,600 --> 00:00:58,160 Speaker 2: me stand up a little bit for you. And you 14 00:00:58,200 --> 00:01:01,040 Speaker 2: can't see it that great, but that translates in Latin 15 00:01:01,120 --> 00:01:03,840 Speaker 2: to the dead teach the living, which is my phraeze 16 00:01:04,520 --> 00:01:07,880 Speaker 2: and it's it's really cool and it's it's just a 17 00:01:08,000 --> 00:01:11,480 Speaker 2: very neutral design, but a conversation starter for sure, and 18 00:01:11,520 --> 00:01:15,120 Speaker 2: it just shows your love for pathology. Yeah. So next Thursday, 19 00:01:15,200 --> 00:01:19,040 Speaker 2: March twenty first, at three pm Eastern twelve pm Pacific time, 20 00:01:19,120 --> 00:01:21,080 Speaker 2: our new merch is going to drop. It's going to 21 00:01:21,120 --> 00:01:23,240 Speaker 2: be a very limited run. We're only going to do 22 00:01:23,280 --> 00:01:25,360 Speaker 2: it one time, so you want to definitely make sure 23 00:01:25,360 --> 00:01:28,119 Speaker 2: to check it out. You can go to Doramodern dot 24 00:01:28,200 --> 00:01:31,039 Speaker 2: shop to check out the countdowns. Only on there right now, 25 00:01:31,080 --> 00:01:33,880 Speaker 2: but next Thursday the page will go live and you'll 26 00:01:33,880 --> 00:01:37,039 Speaker 2: be able to purchase these awesome I hope you guys 27 00:01:37,040 --> 00:01:40,240 Speaker 2: got it and we could all be twinsies. Yeah, definitely. Okay, 28 00:01:40,920 --> 00:01:44,160 Speaker 2: next announcement is that we are going to be at 29 00:01:44,200 --> 00:01:47,240 Speaker 2: Crime Con so Mother Knows Death is going to be there, 30 00:01:47,280 --> 00:01:49,720 Speaker 2: and I'll also be doing a lecture. Yeah, so May 31 00:01:49,760 --> 00:01:52,960 Speaker 2: thirty first to June second in Nashville, Tennessee, We're going 32 00:01:53,040 --> 00:01:55,840 Speaker 2: to be doing a live podcast for the first time ever. 33 00:01:56,240 --> 00:01:59,960 Speaker 2: Please put up with me as really nervous by the idea, 34 00:02:00,080 --> 00:02:03,040 Speaker 2: and then you're going to be doing a lecture as well. Yeah, 35 00:02:03,120 --> 00:02:05,320 Speaker 2: I look, I'm really looking forward to it. I haven't 36 00:02:05,360 --> 00:02:09,000 Speaker 2: really nailed down the title of my lecture yet, but 37 00:02:09,200 --> 00:02:11,200 Speaker 2: I do have the idea ready. I'm not going to 38 00:02:11,240 --> 00:02:13,640 Speaker 2: tell you guys quite yet, but I think you're really 39 00:02:13,680 --> 00:02:15,880 Speaker 2: going to love it. But just FYI, it's going to 40 00:02:15,880 --> 00:02:19,280 Speaker 2: be very very graphic. Yeah, so we'll have more information 41 00:02:19,400 --> 00:02:21,560 Speaker 2: rolling out about that over the next couple of weeks, 42 00:02:21,600 --> 00:02:24,359 Speaker 2: so stay tuned. But we are very excited. Everybody knows 43 00:02:24,400 --> 00:02:28,480 Speaker 2: Tennessee's my favorite place, so I'm definitely really excited to go, 44 00:02:28,600 --> 00:02:30,880 Speaker 2: and it'll be nice to meet a bunch of people 45 00:02:31,040 --> 00:02:34,600 Speaker 2: and hopefully get some new fans of the show too. Yeah, definitely. 46 00:02:34,919 --> 00:02:37,000 Speaker 2: All right, let's get started with the story of the week. 47 00:02:37,680 --> 00:02:41,440 Speaker 2: So we need to talk about Boeing. We yes, something 48 00:02:41,639 --> 00:02:44,480 Speaker 2: is up for sure. We were building the stories for 49 00:02:44,560 --> 00:02:48,440 Speaker 2: this week, you know, we realized that we had at 50 00:02:48,560 --> 00:02:51,720 Speaker 2: least four or five stories that were Boeing related this week, 51 00:02:51,840 --> 00:02:53,600 Speaker 2: and so we were like, okay, we're just going to 52 00:02:53,639 --> 00:02:56,560 Speaker 2: group these all into Story of the Week because there 53 00:02:56,600 --> 00:02:59,480 Speaker 2: is just so much going on. So in the last 54 00:02:59,520 --> 00:03:02,120 Speaker 2: couple of we've had a bunch of stories related to 55 00:03:02,200 --> 00:03:05,280 Speaker 2: planes in general, but they all seemingly have ties to Boeing. So, 56 00:03:06,280 --> 00:03:09,320 Speaker 2: you know, first we had some ridiculous ones like excessive 57 00:03:09,400 --> 00:03:12,639 Speaker 2: farting was turning around a plane, or a man was 58 00:03:12,680 --> 00:03:15,280 Speaker 2: coughing a blood and died on a plane, or maggots 59 00:03:15,280 --> 00:03:19,200 Speaker 2: were falling up falling from a suitcase in the overhead compartment. 60 00:03:20,400 --> 00:03:23,400 Speaker 2: And then we even covered one about an Alaskan Airlines 61 00:03:23,440 --> 00:03:26,400 Speaker 2: pilot who was on mushrooms and tried to cut the 62 00:03:26,480 --> 00:03:28,880 Speaker 2: engines to the plane, which with all of this other, 63 00:03:29,040 --> 00:03:31,080 Speaker 2: with all these other stories, I didn't even remember we 64 00:03:31,160 --> 00:03:33,720 Speaker 2: covered that. I was looking through our old episodes and 65 00:03:33,800 --> 00:03:37,520 Speaker 2: was like, holy shit, there's been basically a plane story, 66 00:03:38,160 --> 00:03:41,280 Speaker 2: a lot of airplane trauma, but this has to specifically 67 00:03:41,360 --> 00:03:46,400 Speaker 2: do with the airplane. It's itself is particularly Boeing. It 68 00:03:46,560 --> 00:03:49,880 Speaker 2: always seems like it's a Boeing. Yeah, So the next 69 00:03:49,880 --> 00:03:52,720 Speaker 2: couple of stories are all Boeing related, whereas the last 70 00:03:52,720 --> 00:03:55,000 Speaker 2: couple ones were just kind of mishaps that happened on 71 00:03:55,040 --> 00:03:57,520 Speaker 2: a variety of planes. So we need to really take 72 00:03:57,560 --> 00:03:59,560 Speaker 2: a serious look at what's happening, because these are just 73 00:03:59,640 --> 00:04:03,760 Speaker 2: reports incidents in the last week. So first a United 74 00:04:03,800 --> 00:04:08,160 Speaker 2: flight lost its tire. So last week a United United 75 00:04:08,160 --> 00:04:11,680 Speaker 2: Airlines Boeing seven seven seven took off from San Francisco 76 00:04:11,840 --> 00:04:15,720 Speaker 2: heading to Japan. When it took off, it immediately lost 77 00:04:15,760 --> 00:04:18,360 Speaker 2: one of its tires, which then fell onto a parked 78 00:04:18,480 --> 00:04:21,000 Speaker 2: car in one of the airports or in one of 79 00:04:21,000 --> 00:04:25,160 Speaker 2: the airport's parking lots. So two hundred and forty nine 80 00:04:25,240 --> 00:04:28,440 Speaker 2: passengers were aboard and they had to reroute and land 81 00:04:28,480 --> 00:04:31,560 Speaker 2: in lax because of the tire. And the airline is 82 00:04:31,560 --> 00:04:35,120 Speaker 2: saying it's designed to land safely if it's missing or 83 00:04:35,160 --> 00:04:37,680 Speaker 2: has damaged tires. But you know, I can't help but 84 00:04:37,680 --> 00:04:39,880 Speaker 2: think what if this landed on a car that was 85 00:04:39,960 --> 00:04:41,880 Speaker 2: driving on the highway, or on a house, or on 86 00:04:41,920 --> 00:04:45,400 Speaker 2: a person. Yeah, I know it's so scary, right, And 87 00:04:45,440 --> 00:04:49,440 Speaker 2: it's you know how we say new fear unlocked every week, Like, oh, now, 88 00:04:49,480 --> 00:04:52,719 Speaker 2: so now we have to worry about plane airplane tires 89 00:04:53,080 --> 00:04:56,719 Speaker 2: falling from the sky and possibly killing us instantly. Like 90 00:04:56,800 --> 00:04:57,839 Speaker 2: how scary is that? 91 00:04:58,080 --> 00:04:58,240 Speaker 1: No? 92 00:04:58,400 --> 00:05:00,120 Speaker 2: Like the whole thing was so disturbing to me, and 93 00:05:00,160 --> 00:05:02,719 Speaker 2: I'm like, I don't think. I mean, there's obviously safety 94 00:05:02,760 --> 00:05:05,680 Speaker 2: concerns about how the aircraft can land safely when it's 95 00:05:05,680 --> 00:05:08,240 Speaker 2: missing a tire, but I think a lot of the 96 00:05:08,320 --> 00:05:10,960 Speaker 2: concern was it crushing a car beneath it. I just 97 00:05:11,400 --> 00:05:14,200 Speaker 2: don't even understand how it was fine enough to take 98 00:05:14,240 --> 00:05:17,120 Speaker 2: off and then moments later it fell off like something 99 00:05:17,600 --> 00:05:20,360 Speaker 2: was maybe they just had recently changed it and didn't 100 00:05:21,560 --> 00:05:23,839 Speaker 2: put it on tight enough or something I don't know, Like, 101 00:05:24,400 --> 00:05:28,039 Speaker 2: of course, we'll hear about the investigation in like six 102 00:05:28,080 --> 00:05:30,679 Speaker 2: months or whatever, and this'll be the last of our worries. 103 00:05:30,720 --> 00:05:33,080 Speaker 2: But all the stuff that's going to happen between now 104 00:05:33,120 --> 00:05:35,960 Speaker 2: and then with these planes. Yeah. So the next one 105 00:05:36,080 --> 00:05:39,039 Speaker 2: is that fifty people were injured by a quote nose 106 00:05:39,160 --> 00:05:42,840 Speaker 2: dive on a Boeing plane. So that's so scary. A 107 00:05:42,880 --> 00:05:45,920 Speaker 2: Boeing seven eighty seven to nine Dreamliner was going from 108 00:05:45,920 --> 00:05:49,280 Speaker 2: Australia to New Zealand. The flight, which was through Latam 109 00:05:49,320 --> 00:05:52,640 Speaker 2: Airlines that's a Chilean based company, was mid flight when 110 00:05:52,680 --> 00:05:55,400 Speaker 2: it suddenly took a nose dive or otherwise known as 111 00:05:55,440 --> 00:05:58,360 Speaker 2: the dramatic drop in altitude, due to a technical error. 112 00:05:59,120 --> 00:06:02,119 Speaker 2: So it threw the without seatbelts from their seats, tossed 113 00:06:02,120 --> 00:06:04,680 Speaker 2: around passengers. They were hitting the roof of the plane. 114 00:06:04,680 --> 00:06:06,479 Speaker 2: If they weren't buckled in, they were being thrown in 115 00:06:06,480 --> 00:06:10,000 Speaker 2: the aisles. One passenger stated quote some of the roof 116 00:06:10,040 --> 00:06:12,800 Speaker 2: panels were broken from people being thrown up and knocking 117 00:06:12,839 --> 00:06:16,560 Speaker 2: into them, and there was blood coming from several people's heads. 118 00:06:16,800 --> 00:06:19,359 Speaker 2: They said it was basically less than a minute, but 119 00:06:19,440 --> 00:06:23,800 Speaker 2: it felt like an intense earthquake in that time. Okay, 120 00:06:24,200 --> 00:06:26,560 Speaker 2: this is my word of advice just because of this, 121 00:06:26,800 --> 00:06:29,680 Speaker 2: And of course the biggest one we've covered is when 122 00:06:29,720 --> 00:06:32,640 Speaker 2: the airplane, when the door flew off the airplane midflight, 123 00:06:33,240 --> 00:06:36,279 Speaker 2: is that you really should always wear your seatbelt in 124 00:06:36,279 --> 00:06:38,520 Speaker 2: the airplane, I except if you have to get up 125 00:06:38,520 --> 00:06:40,479 Speaker 2: and go to the bathroom or something. I just would 126 00:06:40,480 --> 00:06:45,240 Speaker 2: never ever after hearing these stories, because just with the 127 00:06:45,279 --> 00:06:48,360 Speaker 2: airplane door and this one, now that you would be 128 00:06:48,680 --> 00:06:50,920 Speaker 2: safe if you were in a seatbelt, and you would 129 00:06:50,920 --> 00:06:55,080 Speaker 2: have been secure at least in these types of accidents. Yeah, definitely. 130 00:06:55,160 --> 00:06:58,400 Speaker 2: So all of this is, you know, sparking some concerns 131 00:06:58,440 --> 00:07:00,960 Speaker 2: like what was the technical air that happen? You know, 132 00:07:01,080 --> 00:07:06,960 Speaker 2: one person's in critical condition from this, I don't know. 133 00:07:07,000 --> 00:07:10,120 Speaker 2: And then the passengers complained that after so they did 134 00:07:10,200 --> 00:07:13,640 Speaker 2: end up landing on time to their destination. And then 135 00:07:14,120 --> 00:07:16,560 Speaker 2: the passengers are complaining that all they did was give 136 00:07:16,560 --> 00:07:19,640 Speaker 2: them a McDonald's hamburger while they waited, and they weren't 137 00:07:19,640 --> 00:07:23,760 Speaker 2: fed again until the next morning. It's unbelievable, right, like, 138 00:07:23,840 --> 00:07:27,040 Speaker 2: after experiencing something like that, you would I don't know, 139 00:07:27,120 --> 00:07:29,200 Speaker 2: I feel like you expect them to give you some 140 00:07:29,360 --> 00:07:32,280 Speaker 2: money or free flights for life or something, and they're 141 00:07:32,320 --> 00:07:34,640 Speaker 2: just like, oh, well, here's a hamburger for your trouble. 142 00:07:34,880 --> 00:07:37,240 Speaker 2: Yeah exactly. And then the airline has come out with 143 00:07:37,320 --> 00:07:41,720 Speaker 2: a statement that says, quote, it regrets the inconvenience and 144 00:07:41,840 --> 00:07:44,880 Speaker 2: injury the situation may have caused its passengers. It reiterates 145 00:07:44,880 --> 00:07:48,760 Speaker 2: its commitment to safety as a priority. Well, your recommitment 146 00:07:48,800 --> 00:07:52,480 Speaker 2: to safety should be to reevaluate your relationship with Boeing, 147 00:07:53,280 --> 00:07:56,000 Speaker 2: Yeah exactly. So I think everyone needs to do that 148 00:07:56,040 --> 00:07:58,600 Speaker 2: at this point. Yeah. So then we lead into a 149 00:07:58,640 --> 00:08:02,320 Speaker 2: story that is fresh from last night, which we just 150 00:08:02,400 --> 00:08:05,320 Speaker 2: added right before recording. We already have all this was 151 00:08:05,440 --> 00:08:08,560 Speaker 2: just nuts. So an American Airlines flight was forced to 152 00:08:08,560 --> 00:08:11,920 Speaker 2: make an emergency landing in California Wednesday night after the 153 00:08:11,960 --> 00:08:15,720 Speaker 2: pilot reported a possible mechanical issue. It took off from 154 00:08:16,040 --> 00:08:19,600 Speaker 2: Dallas for Worth, Texas. The pilot reported the issue with 155 00:08:19,640 --> 00:08:23,320 Speaker 2: the Boeing seven seven seven plane and ultimately ultimately landed 156 00:08:23,360 --> 00:08:27,360 Speaker 2: at Lax at approximately eight forty five pm last night. 157 00:08:28,120 --> 00:08:30,760 Speaker 2: So there's reports that it was a blown tire, but 158 00:08:30,840 --> 00:08:34,400 Speaker 2: American Airlines has not confirmed that. So that's kind of 159 00:08:34,440 --> 00:08:37,160 Speaker 2: scary that they're not coming forth and saying what it was, right, 160 00:08:38,880 --> 00:08:42,400 Speaker 2: that's this is pretty standard really. Yeah, and then in 161 00:08:42,440 --> 00:08:45,760 Speaker 2: this article about this incident, they revealed another incident that 162 00:08:45,840 --> 00:08:48,200 Speaker 2: has also not really been in the news, which was 163 00:08:48,240 --> 00:08:52,080 Speaker 2: on Monday, a United Airlines flight was headed from Sydney 164 00:08:52,120 --> 00:08:54,760 Speaker 2: to San Francisco and was forced to turn around mid 165 00:08:54,800 --> 00:08:58,640 Speaker 2: flight due to a fuel leak. Oh my god. You 166 00:08:58,679 --> 00:09:00,800 Speaker 2: know what, Honestly, I'm going to say say that these 167 00:09:00,800 --> 00:09:03,360 Speaker 2: things probably happen all the time and they're not really 168 00:09:03,440 --> 00:09:06,559 Speaker 2: in the news, and the only reason now they're being 169 00:09:06,640 --> 00:09:11,880 Speaker 2: like over reported is because of all the controversy surrounding Boeing. Yeah. 170 00:09:11,920 --> 00:09:15,120 Speaker 2: I mean, they're totally under the microscope right now. Yeah, So, 171 00:09:15,120 --> 00:09:17,800 Speaker 2: so explain really the biggest story that has to do 172 00:09:17,840 --> 00:09:21,960 Speaker 2: with Boeing this week. Okay, so we're gonna circle back 173 00:09:22,000 --> 00:09:24,640 Speaker 2: a little bit into the story we covered a few 174 00:09:24,679 --> 00:09:28,160 Speaker 2: weeks ago, which was the Alaskan Airlines flight where the 175 00:09:28,640 --> 00:09:31,360 Speaker 2: door or the wall plug whatever they called it, flew 176 00:09:31,400 --> 00:09:34,240 Speaker 2: off mid flight, right, and nobody got hurt in that situation, 177 00:09:34,400 --> 00:09:36,840 Speaker 2: But remember the boy's shirt was sucked off and people's 178 00:09:36,880 --> 00:09:41,240 Speaker 2: phones were flying out of the plane. So this incident 179 00:09:41,360 --> 00:09:44,240 Speaker 2: is really what I feel ignited all of this, you know, 180 00:09:44,520 --> 00:09:47,880 Speaker 2: further about them being analyzed and like you're saying that 181 00:09:47,960 --> 00:09:50,640 Speaker 2: these events probably happen all of the time, but we 182 00:09:50,760 --> 00:09:53,000 Speaker 2: just aren't hearing about them as much. But now that 183 00:09:53,400 --> 00:09:57,199 Speaker 2: they're kind of being looked at, it's everything they're doing 184 00:09:57,320 --> 00:10:02,080 Speaker 2: is making news. So Boeing video footage showing exactly who 185 00:10:02,120 --> 00:10:05,760 Speaker 2: worked on that aircraft is just it's missing, it's been erased. 186 00:10:06,040 --> 00:10:10,240 Speaker 2: They're not necessarily prize, just like Jeffrey Epstein, right, exactly, 187 00:10:10,320 --> 00:10:14,720 Speaker 2: not there. So the National Transportation Safety Board believes that 188 00:10:14,760 --> 00:10:16,800 Speaker 2: the company is trying to hide money. So you know, 189 00:10:16,840 --> 00:10:19,440 Speaker 2: now the government's involves, which I feel like, why did 190 00:10:19,480 --> 00:10:23,920 Speaker 2: it take so long to get involved? But they're saying 191 00:10:23,960 --> 00:10:27,240 Speaker 2: that Boeing cannot find any documentation at all regarding who 192 00:10:27,280 --> 00:10:29,719 Speaker 2: worked on that door plug. Instead, they're just giving them 193 00:10:29,720 --> 00:10:32,360 Speaker 2: a vague list of names of people that reported to 194 00:10:32,400 --> 00:10:38,240 Speaker 2: the door manager. Yeah nice, Yeah, exactly nice. So, as 195 00:10:38,280 --> 00:10:42,000 Speaker 2: you can recall, when this incident happened in January, they 196 00:10:42,000 --> 00:10:45,679 Speaker 2: had grounded all models of that Boeing, only a couple 197 00:10:45,720 --> 00:10:49,480 Speaker 2: weeks later to let them back in the air. So 198 00:10:50,840 --> 00:10:54,920 Speaker 2: after they started going back in the air, a former 199 00:10:55,200 --> 00:10:59,200 Speaker 2: Boeing quality manager named John Barnett came forward to disagree 200 00:10:59,240 --> 00:11:02,120 Speaker 2: with that decision, citing that they had safety issues and 201 00:11:02,160 --> 00:11:06,959 Speaker 2: were prioritizing money over the safety of his passengers. John 202 00:11:07,040 --> 00:11:10,880 Speaker 2: Barnett is a whistleblower against Boeing. He worked there for 203 00:11:10,920 --> 00:11:13,600 Speaker 2: thirty two years. He was the quality manager for seven 204 00:11:13,679 --> 00:11:16,880 Speaker 2: years at a South Carolina plant, and he retired in 205 00:11:16,880 --> 00:11:20,360 Speaker 2: twenty seventeen and ever since then has been a whistleblower. 206 00:11:20,640 --> 00:11:24,439 Speaker 2: He filed a lawsuit against Boeing and publicly said they 207 00:11:24,440 --> 00:11:28,080 Speaker 2: were using faulty parts, malfunctioning emergency systems, which makes us 208 00:11:28,160 --> 00:11:31,920 Speaker 2: all really feel great, right, So he filed a lawsuit 209 00:11:31,960 --> 00:11:35,680 Speaker 2: alleging that he was getting retaliation for his whistle blowing efforts. 210 00:11:36,280 --> 00:11:39,000 Speaker 2: Last week he sat down for a deposition with Boeing 211 00:11:39,080 --> 00:11:41,880 Speaker 2: lawyers and his own lawyers, and then on Saturday was 212 00:11:41,920 --> 00:11:44,960 Speaker 2: found dead of an apparent suicide with a self inflicted 213 00:11:45,000 --> 00:11:50,200 Speaker 2: gun chot wound. What is going on? I don't know, 214 00:11:50,320 --> 00:11:52,920 Speaker 2: and you know, well, they're going to have to do 215 00:11:52,960 --> 00:11:56,439 Speaker 2: an autopsy to determine if he really did in fact 216 00:11:56,520 --> 00:11:59,800 Speaker 2: kill himself, and there is he does have a history 217 00:11:59,840 --> 00:12:05,240 Speaker 2: of anxiety depression PTSD, but he didn't. It is important 218 00:12:05,280 --> 00:12:08,760 Speaker 2: to state that he didn't have suicidal ideations, which means 219 00:12:08,800 --> 00:12:11,720 Speaker 2: he didn't say to anybody that he wanted to kill himself. 220 00:12:11,720 --> 00:12:14,120 Speaker 2: He didn't seem like he was in any kind of 221 00:12:14,160 --> 00:12:17,680 Speaker 2: acute moment of an episode that would cause him to 222 00:12:17,760 --> 00:12:20,800 Speaker 2: want to do this, and everyone around him, his family, 223 00:12:20,840 --> 00:12:24,680 Speaker 2: his lawyers, and everyone is actually completely shocked. And they 224 00:12:24,679 --> 00:12:28,040 Speaker 2: did also find a note which can be used to 225 00:12:28,400 --> 00:12:31,480 Speaker 2: for circumstantial evidence with the case, but it doesn't always 226 00:12:31,600 --> 00:12:34,960 Speaker 2: mean that, because people write fake notes and stuff, right Yeah, 227 00:12:35,000 --> 00:12:37,680 Speaker 2: and his family saying that the note doesn't seem like 228 00:12:37,800 --> 00:12:40,200 Speaker 2: anything that he would ever say in the tone he 229 00:12:40,200 --> 00:12:43,680 Speaker 2: would talk or write in. So it's pretty interesting. It's 230 00:12:43,720 --> 00:12:46,160 Speaker 2: just suspicious. You know, we talked about before that a 231 00:12:46,200 --> 00:12:50,960 Speaker 2: documentary came out in twenty twenty two on Netflix against Boeing, 232 00:12:51,000 --> 00:12:53,800 Speaker 2: and they were detailing these two Boeing incidents in the 233 00:12:53,920 --> 00:12:56,640 Speaker 2: last couple of years that resulted in the deaths of 234 00:12:56,960 --> 00:13:02,800 Speaker 2: almost three hundred and fifty people, and you know, their 235 00:13:02,960 --> 00:13:05,720 Speaker 2: issues over safety concerns have been coming up a lot 236 00:13:05,800 --> 00:13:09,320 Speaker 2: since that documentary came up. But I'm just I'm just 237 00:13:09,360 --> 00:13:11,920 Speaker 2: like not feeling good about this. Right when we were 238 00:13:11,920 --> 00:13:16,280 Speaker 2: booking a trip recently. I was booking through American Airlines 239 00:13:16,320 --> 00:13:18,640 Speaker 2: and I saw there was an option for a Boeing 240 00:13:19,000 --> 00:13:21,200 Speaker 2: or an air bus, and I went with the more 241 00:13:21,240 --> 00:13:25,600 Speaker 2: inconvenient time because of that, Yeah, I understand that totally. 242 00:13:25,800 --> 00:13:27,760 Speaker 2: People are seeing it too. They've had a twenty five 243 00:13:27,800 --> 00:13:31,160 Speaker 2: percent dip in their stock in the last year. I mean, 244 00:13:31,240 --> 00:13:34,959 Speaker 2: I think the same can be said about some circumstances 245 00:13:34,960 --> 00:13:38,120 Speaker 2: with NASA too, and with the Challenger happening. And when 246 00:13:38,160 --> 00:13:40,559 Speaker 2: you look at the documentary from that, and we wrote 247 00:13:41,000 --> 00:13:43,480 Speaker 2: in the Gross Room, a two part high profile death 248 00:13:43,480 --> 00:13:46,600 Speaker 2: disseection on the Challenger explosions, it was all about just 249 00:13:47,640 --> 00:13:50,960 Speaker 2: money over safety, money over safety. It's always like that, 250 00:13:51,160 --> 00:13:53,840 Speaker 2: you know, and you see this time and time again 251 00:13:53,880 --> 00:13:56,079 Speaker 2: with every one of these huge accidents. It always has 252 00:13:56,120 --> 00:13:59,719 Speaker 2: to do something with that. I mean, all I could 253 00:13:59,760 --> 00:14:04,000 Speaker 2: think is the government's involved now, right, But what are 254 00:14:04,080 --> 00:14:06,280 Speaker 2: we really going to do. Let's say they do this 255 00:14:06,360 --> 00:14:09,040 Speaker 2: mass investigation and Boeings are going to be put out 256 00:14:09,040 --> 00:14:13,440 Speaker 2: of service. That's at least fifty percent of aircraft's are Boeings, right, 257 00:14:14,320 --> 00:14:17,839 Speaker 2: so travel is going to be seriously interrupted. What are 258 00:14:17,880 --> 00:14:19,840 Speaker 2: they going to do to fix these issues? Are they 259 00:14:19,880 --> 00:14:22,280 Speaker 2: actually going to do a formal investigation and take them 260 00:14:22,280 --> 00:14:24,640 Speaker 2: to court or is this going to be like kind 261 00:14:24,640 --> 00:14:26,280 Speaker 2: of a slap on the wrist and get your shit 262 00:14:26,360 --> 00:14:30,200 Speaker 2: together type of deal, cross your fingers and hope nothing happens. 263 00:14:30,200 --> 00:14:35,040 Speaker 2: That seems what's I mean from the transportation perspective, it 264 00:14:35,440 --> 00:14:39,480 Speaker 2: seems like you can't just say, okay, we're getting rid 265 00:14:39,520 --> 00:14:41,920 Speaker 2: of all your planes, Like it just physically can't happen. 266 00:14:42,000 --> 00:14:44,600 Speaker 2: So I do understand that they have a lot to 267 00:14:44,680 --> 00:14:48,200 Speaker 2: deal with too as far as trying to like reel 268 00:14:48,240 --> 00:14:51,760 Speaker 2: these people in, I guess, but you also can't. You 269 00:14:51,800 --> 00:14:55,560 Speaker 2: can't be having citizens getting hurt because of negligence, Like 270 00:14:55,600 --> 00:14:58,360 Speaker 2: it just it can't happen. It's not fair to us. 271 00:14:58,400 --> 00:15:01,320 Speaker 2: And you know, you travel and unknowingly think that you're 272 00:15:01,600 --> 00:15:03,920 Speaker 2: that you're on a plane that's been checked and everything, 273 00:15:04,000 --> 00:15:08,000 Speaker 2: and it's just it's just proof that something can go wrong. 274 00:15:08,040 --> 00:15:11,280 Speaker 2: But still it's just still we have to emphasize that, 275 00:15:11,360 --> 00:15:13,800 Speaker 2: like this is nowhere compared to the problems that cars 276 00:15:13,840 --> 00:15:15,600 Speaker 2: have and the amount of people that die in car 277 00:15:15,640 --> 00:15:18,440 Speaker 2: accidents every day. No, definitely, I think it's just one 278 00:15:18,480 --> 00:15:22,240 Speaker 2: of those like you know, when you hear of a 279 00:15:22,280 --> 00:15:27,000 Speaker 2: car accident. It's it can't It can be fatal, but 280 00:15:27,040 --> 00:15:29,880 Speaker 2: it doesn't always result in a fatality, right, where I 281 00:15:29,960 --> 00:15:32,520 Speaker 2: just feel like you have more control, more control, Whereas 282 00:15:32,600 --> 00:15:35,760 Speaker 2: if you hear a plane crashed, you immediately are like, Okay, 283 00:15:35,880 --> 00:15:39,240 Speaker 2: hundreds of people just died. Yeah, not just always that, 284 00:15:39,480 --> 00:15:44,120 Speaker 2: not always, but it's yeah, it's it's a scary thought 285 00:15:44,160 --> 00:15:46,320 Speaker 2: to think you're not in control and the people that 286 00:15:46,360 --> 00:15:49,200 Speaker 2: are in control just care about making money and not 287 00:15:49,400 --> 00:15:53,920 Speaker 2: about hundreds or thousands of people's lives. All right, let's 288 00:15:53,920 --> 00:15:56,520 Speaker 2: get into the celebrity news of the week. So actress 289 00:15:56,560 --> 00:15:59,840 Speaker 2: Olivia Munn has come forward to announce on Instagram that 290 00:15:59,880 --> 00:16:02,560 Speaker 2: you she was diagnosed with breast cancer and had decided 291 00:16:02,560 --> 00:16:07,920 Speaker 2: to get a double mystectomy. This is super good for 292 00:16:08,120 --> 00:16:11,600 Speaker 2: just educating women in general. I think it's great that 293 00:16:11,640 --> 00:16:14,680 Speaker 2: she's coming forward and really being detailed about everything that 294 00:16:14,720 --> 00:16:17,760 Speaker 2: she's gone through for the past couple of years. But 295 00:16:18,200 --> 00:16:21,000 Speaker 2: so she's young. She's forty three, and most women don't 296 00:16:21,000 --> 00:16:26,000 Speaker 2: even aren't even considered for breast cancer until they're well 297 00:16:26,120 --> 00:16:29,080 Speaker 2: older than forty three. In fact, only like nine percent 298 00:16:29,520 --> 00:16:32,040 Speaker 2: of people under the age of forty five get diagnosed 299 00:16:32,040 --> 00:16:36,160 Speaker 2: with breast cancer. So the majority is in older, postmenopausal women, 300 00:16:36,560 --> 00:16:39,040 Speaker 2: but it does happen in younger people. So you can't 301 00:16:39,080 --> 00:16:43,040 Speaker 2: just you can't blow off the potential of that happening. 302 00:16:43,480 --> 00:16:46,160 Speaker 2: And so when you turn forty years old, and I 303 00:16:46,200 --> 00:16:48,240 Speaker 2: know because I'm around her age, I'm forty four, I'm 304 00:16:48,280 --> 00:16:51,520 Speaker 2: a year older than her. When you're forty, everyone should 305 00:16:51,600 --> 00:16:55,520 Speaker 2: go every year and get a mammogram done. But unfortunately 306 00:16:55,800 --> 00:16:59,800 Speaker 2: mammograms have they're not the best all the time. So 307 00:17:00,240 --> 00:17:03,480 Speaker 2: if you have really dense breast tissue or the lesions 308 00:17:03,560 --> 00:17:06,040 Speaker 2: really small, it won't pick it up. And you only 309 00:17:06,080 --> 00:17:09,879 Speaker 2: get those done every year. So she was saying, Olivia 310 00:17:09,920 --> 00:17:13,280 Speaker 2: Mom was saying that she went to her guynecologist and 311 00:17:13,320 --> 00:17:17,840 Speaker 2: they did something called calculating your Breast Cancer Assessment Risk, 312 00:17:18,359 --> 00:17:21,200 Speaker 2: and they determined that her risk based upon the questions 313 00:17:21,200 --> 00:17:25,560 Speaker 2: they asked her. So they ask you really interesting questions, 314 00:17:25,600 --> 00:17:27,639 Speaker 2: and you could actually I wrote down the name of 315 00:17:27,680 --> 00:17:31,800 Speaker 2: the website. You can go on there yourself, and it's 316 00:17:31,840 --> 00:17:37,080 Speaker 2: called b c so BC for Breast Cancer Risktool dot 317 00:17:37,200 --> 00:17:40,240 Speaker 2: cancer dot gov. And you can go on there and 318 00:17:40,280 --> 00:17:43,040 Speaker 2: take the tests and ask you questions like do you 319 00:17:43,080 --> 00:17:46,199 Speaker 2: have a first degree relative with breast cancer? Have you 320 00:17:46,280 --> 00:17:49,119 Speaker 2: ever had a breast biopsy? And then it asked you 321 00:17:49,240 --> 00:17:52,280 Speaker 2: some really interesting questions like what was the age of 322 00:17:52,320 --> 00:17:56,000 Speaker 2: your first pregnancy? And Olivia mun had said that she 323 00:17:56,320 --> 00:18:00,320 Speaker 2: had her first child over how was she she was 324 00:18:00,359 --> 00:18:03,280 Speaker 2: thirty or over the age of thirty. Yeah, I think 325 00:18:03,320 --> 00:18:06,080 Speaker 2: that kid's a toddler. Yeah, she had it, So she 326 00:18:06,200 --> 00:18:08,840 Speaker 2: had a kid when she was her first pregnancy was 327 00:18:08,880 --> 00:18:12,720 Speaker 2: over the age of thirty, and that is a risk 328 00:18:13,080 --> 00:18:17,080 Speaker 2: factor for breast cancer. So when I did it, so 329 00:18:17,160 --> 00:18:19,480 Speaker 2: I just did it right before we came on today, 330 00:18:19,560 --> 00:18:22,159 Speaker 2: just to see what my score would be. And I 331 00:18:22,200 --> 00:18:24,399 Speaker 2: don't have a family history of breast cancer, like my 332 00:18:24,440 --> 00:18:27,320 Speaker 2: mom didn't have and my grandmom didn't have it. The 333 00:18:27,400 --> 00:18:30,920 Speaker 2: age of my first pregnancy, as everyone knows, was fifteen 334 00:18:31,000 --> 00:18:35,280 Speaker 2: with Maria, and if you have your first child when 335 00:18:35,320 --> 00:18:38,679 Speaker 2: you're that young, it actually decreases your risk of breast cancer. 336 00:18:39,240 --> 00:18:42,119 Speaker 2: And then it also asked you when is the age 337 00:18:42,119 --> 00:18:45,760 Speaker 2: of your first period, so it will say were you eleven, 338 00:18:45,880 --> 00:18:48,199 Speaker 2: were you twelve or thirteen? So I was twelve, so 339 00:18:48,280 --> 00:18:51,959 Speaker 2: I answered that. And you won't believe this, but my 340 00:18:52,400 --> 00:18:56,680 Speaker 2: risk is only zero point six percent for breast cancer 341 00:18:57,359 --> 00:19:00,840 Speaker 2: and the average risk is zero point nine percent, so 342 00:19:00,880 --> 00:19:04,720 Speaker 2: I'm even less than the average risk. Hers was thirty 343 00:19:04,760 --> 00:19:09,320 Speaker 2: seven percent. Oh wow. So yeah, So anytime they say 344 00:19:10,040 --> 00:19:12,560 Speaker 2: if it's greater than twenty percent, they want you to 345 00:19:12,640 --> 00:19:16,240 Speaker 2: get more than what's required at forty years old, which 346 00:19:16,280 --> 00:19:18,320 Speaker 2: is a mammogram every year. So they want you to 347 00:19:18,400 --> 00:19:21,800 Speaker 2: get an MRI and then an ultrasound to be even 348 00:19:21,880 --> 00:19:25,200 Speaker 2: more specific, to make sure that there's no little tiny 349 00:19:25,280 --> 00:19:28,439 Speaker 2: lesions that they can't see. So I went from my 350 00:19:28,520 --> 00:19:32,320 Speaker 2: annual Ganne appointment the other day and she told me 351 00:19:32,400 --> 00:19:36,160 Speaker 2: that last my last mammogram, I had really dense breast tissue, 352 00:19:36,200 --> 00:19:39,080 Speaker 2: which just means that like the older you get and 353 00:19:39,119 --> 00:19:41,080 Speaker 2: the more weight you gain, some times it could turn 354 00:19:41,160 --> 00:19:44,119 Speaker 2: more into fat and just dense breast tissue is just 355 00:19:44,160 --> 00:19:47,359 Speaker 2: like really thick and it's hard for the mammogram to 356 00:19:47,359 --> 00:19:51,040 Speaker 2: see through it sometimes. So she offered me, she said, 357 00:19:51,080 --> 00:19:52,760 Speaker 2: I don't know if your insurance covers it, but I 358 00:19:52,760 --> 00:19:55,440 Speaker 2: would like you to get an ultrasound too, just because 359 00:19:55,480 --> 00:19:58,160 Speaker 2: it's it's more specific and it could see better than 360 00:19:58,160 --> 00:20:00,520 Speaker 2: the mammogram, and then we could just like cover all 361 00:20:00,560 --> 00:20:03,320 Speaker 2: basis and be sure that you're cool for another year 362 00:20:04,320 --> 00:20:07,080 Speaker 2: and I haven't even like made that appointment yet and 363 00:20:07,119 --> 00:20:11,560 Speaker 2: figured that out yet, but I'll do that this week anyway. So, yeah, 364 00:20:11,600 --> 00:20:14,240 Speaker 2: so she was at an increased risk because she had 365 00:20:14,240 --> 00:20:17,879 Speaker 2: a family history of it, I think because she got 366 00:20:18,000 --> 00:20:23,000 Speaker 2: genetic testing done apparently and it was negative. And then 367 00:20:23,320 --> 00:20:26,480 Speaker 2: so I'm thinking she probably had a cancer history because 368 00:20:26,480 --> 00:20:28,119 Speaker 2: I don't know if they just do that on people 369 00:20:28,119 --> 00:20:31,320 Speaker 2: that don't have the history. But apparently that was negative. 370 00:20:31,640 --> 00:20:34,000 Speaker 2: She had a mammogram and that was negative. And the 371 00:20:34,040 --> 00:20:36,879 Speaker 2: only reason that she did this extra test was because 372 00:20:36,920 --> 00:20:40,560 Speaker 2: her doctor said to her assessment was thirty seven percent. 373 00:20:41,119 --> 00:20:42,840 Speaker 2: So she went and got this done, and then she 374 00:20:42,920 --> 00:20:45,520 Speaker 2: found out that she had this really aggressive form of 375 00:20:45,560 --> 00:20:50,640 Speaker 2: breast cancer in both of her breasts too, and decided 376 00:20:50,640 --> 00:20:54,240 Speaker 2: on getting a double messedectomy. So a double messedectomy is 377 00:20:54,280 --> 00:20:59,840 Speaker 2: when they completely surgically remove your breasts and your nipples 378 00:21:00,160 --> 00:21:02,679 Speaker 2: and everything. They just take it off. They could do 379 00:21:02,800 --> 00:21:05,359 Speaker 2: some surgeries where they like try to save your nipple 380 00:21:05,400 --> 00:21:08,360 Speaker 2: and things like that, but in my opinion, based upon 381 00:21:08,640 --> 00:21:12,600 Speaker 2: the hundreds and hundreds of breast that I've dissected in 382 00:21:12,720 --> 00:21:15,760 Speaker 2: the pathology lab, I am like kind of if I 383 00:21:15,800 --> 00:21:18,639 Speaker 2: get breast cancer, like I'm cutting it all off. I 384 00:21:18,760 --> 00:21:22,280 Speaker 2: just because the only way in my opinion, that you 385 00:21:22,280 --> 00:21:24,720 Speaker 2: could get a recurrence of breast cancer is if you 386 00:21:24,880 --> 00:21:29,200 Speaker 2: have it, if you have breast tissue left. So they 387 00:21:29,240 --> 00:21:31,480 Speaker 2: try to say that there are studies that if you 388 00:21:31,560 --> 00:21:33,840 Speaker 2: do treatment on the one and not the other, that 389 00:21:34,560 --> 00:21:37,760 Speaker 2: it doesn't it doesn't seem like it's any more increase 390 00:21:37,880 --> 00:21:40,879 Speaker 2: or deg Chris with a lumpectomy versus a mestectomy. But 391 00:21:41,520 --> 00:21:44,000 Speaker 2: I believe the current protocol is if you have it 392 00:21:44,040 --> 00:21:46,160 Speaker 2: in both breasts, that you should get a double mess 393 00:21:46,160 --> 00:21:50,000 Speaker 2: sectomy regardless. So she got that done and then what 394 00:21:50,119 --> 00:21:53,760 Speaker 2: happens with that is that it leaves you flat chested 395 00:21:53,800 --> 00:21:56,480 Speaker 2: like a man basically, and then you have to get 396 00:21:56,520 --> 00:22:00,760 Speaker 2: reconstructive surgery. So she said, since last since she got 397 00:22:00,800 --> 00:22:03,560 Speaker 2: diagnosed with this, she's had I think four surgeries now. 398 00:22:03,920 --> 00:22:06,720 Speaker 2: So those additional surgeries are one is to remove the breast. 399 00:22:07,160 --> 00:22:09,960 Speaker 2: Then the next one is to try to the next 400 00:22:10,000 --> 00:22:12,160 Speaker 2: ones are try to recreate the breast and make them 401 00:22:12,200 --> 00:22:17,439 Speaker 2: look like more natural like a female figure. And you know, 402 00:22:17,520 --> 00:22:20,520 Speaker 2: Angelina Jolie did this too. She had a double mestectomy 403 00:22:20,520 --> 00:22:24,159 Speaker 2: in reconstruction because she tested positive for the gene. I 404 00:22:24,160 --> 00:22:26,360 Speaker 2: don't even believe that she had the cancer, but her 405 00:22:26,359 --> 00:22:29,520 Speaker 2: mom died from ovarian cancer due to braka I believe. 406 00:22:30,440 --> 00:22:33,800 Speaker 2: So yeah, so this is what's happening with her now. 407 00:22:33,880 --> 00:22:36,679 Speaker 2: So she's going they what's cool now is they do 408 00:22:36,720 --> 00:22:39,880 Speaker 2: this like molecular testing on these tumors and they can 409 00:22:39,920 --> 00:22:42,959 Speaker 2: tell exactly what kind of treatment to give these people 410 00:22:43,359 --> 00:22:45,760 Speaker 2: that will give them the best chance of getting rid 411 00:22:45,800 --> 00:22:49,320 Speaker 2: of the cancer. And so she has said that she's 412 00:22:49,400 --> 00:22:52,400 Speaker 2: learned more about hormones and more about everything since she's 413 00:22:52,440 --> 00:22:56,360 Speaker 2: been diagnosed. She was diagnosed with something called group two 414 00:22:56,560 --> 00:23:00,000 Speaker 2: or luminal B, which is a tumor that's estrogen positive, 415 00:23:00,240 --> 00:23:04,439 Speaker 2: progesterone negative, and her too positive. So they found that 416 00:23:04,480 --> 00:23:08,240 Speaker 2: these tumors, when they're traded with something to target to 417 00:23:08,359 --> 00:23:10,600 Speaker 2: her too, that you can really get rid of it 418 00:23:10,640 --> 00:23:13,680 Speaker 2: and she could have a really good prognosis after this, 419 00:23:14,000 --> 00:23:17,280 Speaker 2: hopefully if it was called early enough. Yeah, I mean, 420 00:23:17,320 --> 00:23:20,560 Speaker 2: it's really I'm sure this whole experience is really scary, 421 00:23:20,720 --> 00:23:23,520 Speaker 2: but it was probably the best call she could have made. 422 00:23:23,600 --> 00:23:27,439 Speaker 2: We'll definitely put that website in the episode description. So 423 00:23:27,520 --> 00:23:31,480 Speaker 2: it's a good resource tool for anybody listening. It's really yeah, 424 00:23:31,480 --> 00:23:33,639 Speaker 2: it's free, and you just it's very easy to answer. 425 00:23:33,640 --> 00:23:36,600 Speaker 2: There was just very clear cut answers, and you could 426 00:23:36,640 --> 00:23:40,119 Speaker 2: really print out your results and it's if it's twenty 427 00:23:40,160 --> 00:23:42,120 Speaker 2: percent or greater, I would print that out and bring 428 00:23:42,119 --> 00:23:43,919 Speaker 2: it to your doctor and just say I want a 429 00:23:43,920 --> 00:23:48,160 Speaker 2: further work up. And most insurance companies take that as 430 00:23:49,160 --> 00:23:52,439 Speaker 2: as a cue that you're allowed to get additional things 431 00:23:52,520 --> 00:23:56,400 Speaker 2: covered in addition to the screening. Yeah, so we'll definitely 432 00:23:56,440 --> 00:23:59,080 Speaker 2: put that in there. All right, let's get on to 433 00:23:59,160 --> 00:24:02,360 Speaker 2: freak accidents. So this couple threw a party at their 434 00:24:02,359 --> 00:24:07,600 Speaker 2: home in Australia to celebrate their engagement and the guy slipped, fell, 435 00:24:07,720 --> 00:24:10,640 Speaker 2: cut his neck, and then died in front of his 436 00:24:10,720 --> 00:24:13,199 Speaker 2: fiance and friends and family that were at this party. 437 00:24:15,000 --> 00:24:17,320 Speaker 2: They don't really get into detail of what happened, but 438 00:24:17,359 --> 00:24:21,199 Speaker 2: he basically exsanguinated, so he cut his carotid artery and 439 00:24:21,280 --> 00:24:23,360 Speaker 2: just bled out all over the place and didn't even 440 00:24:23,400 --> 00:24:25,600 Speaker 2: make it to the hospital. The worst part of this 441 00:24:25,680 --> 00:24:29,359 Speaker 2: story is after this came out, his fiance said that 442 00:24:29,600 --> 00:24:32,919 Speaker 2: she was pregnant. Oh my god, I know. It's just 443 00:24:32,960 --> 00:24:35,840 Speaker 2: so terrible, Like, can you imagine going through that it's nuts. No. 444 00:24:36,960 --> 00:24:39,600 Speaker 2: So next we have a story about a thirty three 445 00:24:39,680 --> 00:24:42,520 Speaker 2: year old mother of five died after getting a BBL 446 00:24:42,600 --> 00:24:46,160 Speaker 2: by a Miami doctor who wasn't allowed to operate, so 447 00:24:46,240 --> 00:24:50,720 Speaker 2: she traveled to this seduction cosmetic center in Miami from 448 00:24:50,800 --> 00:24:53,800 Speaker 2: Tennessee in twenty twenty one to undergo the cosmetic procedure. 449 00:24:54,560 --> 00:24:57,919 Speaker 2: The doctor had performed seven procedures that day and she 450 00:24:58,080 --> 00:25:00,560 Speaker 2: was the last of which to happen at eight PM. 451 00:25:00,720 --> 00:25:04,119 Speaker 2: Don't you think that's an unusual time for a scheduled procedure. 452 00:25:04,200 --> 00:25:07,080 Speaker 2: I don't really know. I just feel like everybody I 453 00:25:07,119 --> 00:25:09,200 Speaker 2: know that gets a surgery, it happens at like six 454 00:25:09,240 --> 00:25:13,399 Speaker 2: o'clock in the morning. Yeah. I mean we talked about 455 00:25:13,400 --> 00:25:15,960 Speaker 2: this before that there's these clinics that are pumping these 456 00:25:15,960 --> 00:25:17,760 Speaker 2: things out way too many in a day. He did 457 00:25:17,800 --> 00:25:20,080 Speaker 2: seven in one day, Like I feel like that already. Yes, 458 00:25:20,119 --> 00:25:22,639 Speaker 2: that was your responsibility. That was the fourteenth hour of 459 00:25:22,680 --> 00:25:26,080 Speaker 2: his shift, and two hours after the procedure began, the 460 00:25:26,119 --> 00:25:30,359 Speaker 2: woman went into cardiac arrest and died. So this is 461 00:25:30,400 --> 00:25:33,040 Speaker 2: interesting because they describe how she died and it's it's 462 00:25:33,080 --> 00:25:36,800 Speaker 2: even more disturbing than the typical botched BBL, which is 463 00:25:37,600 --> 00:25:41,280 Speaker 2: so they used this canulate to suck fat it out 464 00:25:41,320 --> 00:25:44,240 Speaker 2: and to inject fat back into the the rear end. 465 00:25:44,680 --> 00:25:48,439 Speaker 2: And when they were when he was doing this liposuction procedure, 466 00:25:49,080 --> 00:25:54,440 Speaker 2: he actually went from the outside of her body inside 467 00:25:54,440 --> 00:25:57,280 Speaker 2: of her body, so he like poked it through inside 468 00:25:57,280 --> 00:26:01,679 Speaker 2: of her body and punctured her lip or her bladder 469 00:26:02,080 --> 00:26:05,040 Speaker 2: and her intestines with the canula. So when he was 470 00:26:05,760 --> 00:26:09,240 Speaker 2: sucking fat and pushing fat in, he was actually punctured 471 00:26:09,280 --> 00:26:13,320 Speaker 2: into her abdominal and pelvic cavity, which is so crazy 472 00:26:13,400 --> 00:26:16,040 Speaker 2: to me because the bladder and the liver are kind 473 00:26:16,080 --> 00:26:18,159 Speaker 2: of nowhere near each other. So it just means that 474 00:26:18,240 --> 00:26:21,280 Speaker 2: he did it maybe on multiple occasions, or just stuck 475 00:26:21,280 --> 00:26:23,159 Speaker 2: it in so far and thought he was in the 476 00:26:23,200 --> 00:26:27,840 Speaker 2: plane of above the skin or above the cavities, and 477 00:26:27,880 --> 00:26:31,000 Speaker 2: he was in the cavities. So not only did she 478 00:26:31,160 --> 00:26:34,840 Speaker 2: die from massive bleed because he punctured her organs, but 479 00:26:34,960 --> 00:26:37,840 Speaker 2: she also had fat traveling into her lungs that killed 480 00:26:37,880 --> 00:26:40,959 Speaker 2: her as well, which is called a fat enbalist. But like, 481 00:26:41,320 --> 00:26:45,360 Speaker 2: this is on some other level of inexperience, and it's 482 00:26:45,400 --> 00:26:49,680 Speaker 2: scary because she probably found this guy online. Six other 483 00:26:49,760 --> 00:26:53,080 Speaker 2: people got surgery by him that day. God knows how 484 00:26:53,119 --> 00:26:56,520 Speaker 2: many he's done. And as a normal person that just 485 00:26:56,600 --> 00:26:59,080 Speaker 2: goes to doctors, like you think, how is this even 486 00:26:59,119 --> 00:27:01,640 Speaker 2: possible that you're going going to a doctor that they're 487 00:27:01,680 --> 00:27:06,600 Speaker 2: performing surgeries at centers and hospitals, And now it comes 488 00:27:06,640 --> 00:27:10,240 Speaker 2: down to he fudged paperwork, like they can't they can't 489 00:27:10,280 --> 00:27:12,960 Speaker 2: look into that any further. It's a little scary. Yeah, 490 00:27:13,000 --> 00:27:16,760 Speaker 2: So what happened was in twenty twenty the facility falsified 491 00:27:16,800 --> 00:27:19,840 Speaker 2: documents to the Florida Health Department saying that this guy 492 00:27:19,960 --> 00:27:23,879 Speaker 2: was a quote designated physician. So basically his job was 493 00:27:23,920 --> 00:27:27,520 Speaker 2: to ensure the facility was complying with health and safety 494 00:27:27,560 --> 00:27:31,359 Speaker 2: standards and requirements, right, it said nothing about surgery. In fact, 495 00:27:32,000 --> 00:27:35,520 Speaker 2: in June of that year, he provided the state's Health 496 00:27:35,520 --> 00:27:38,119 Speaker 2: Department with a letter stating specifically that he did not 497 00:27:38,280 --> 00:27:43,520 Speaker 2: perform surgical procedures there. So despite all this paperwork, he 498 00:27:43,720 --> 00:27:47,040 Speaker 2: did go on to perform several procedures from April of 499 00:27:47,040 --> 00:27:50,119 Speaker 2: twenty twenty one until this incident in June of twenty 500 00:27:50,160 --> 00:27:53,280 Speaker 2: twenty one. And they're saying since September of twenty twenty two, 501 00:27:53,800 --> 00:27:58,119 Speaker 2: he's been restricted from performing gluteal fat grafting procedures and 502 00:27:58,280 --> 00:28:01,479 Speaker 2: is serving as the designated physics of the surgery Center. 503 00:28:03,359 --> 00:28:07,600 Speaker 2: But I don't know why is he employed. I don't know, 504 00:28:07,720 --> 00:28:10,960 Speaker 2: because because there's no standards anymore with anything like that's 505 00:28:11,000 --> 00:28:13,880 Speaker 2: just all it is. I don't know. No, So it's 506 00:28:13,920 --> 00:28:17,760 Speaker 2: so it's just I mean, and this lady, like, I mean, 507 00:28:17,920 --> 00:28:22,320 Speaker 2: take getting getting cosmetic surgery anyway, everybody just needs to 508 00:28:22,400 --> 00:28:25,360 Speaker 2: know that that's just such a risk as it is. 509 00:28:26,000 --> 00:28:30,960 Speaker 2: And I mean, she she didn't die, Like there's some 510 00:28:31,080 --> 00:28:35,000 Speaker 2: risks that you can't prevent, just your body didn't take it. 511 00:28:35,040 --> 00:28:37,440 Speaker 2: As long as the doctor does everything right, you don't 512 00:28:37,440 --> 00:28:40,760 Speaker 2: feel as bad about that. But then it's because of negligence. 513 00:28:40,760 --> 00:28:43,440 Speaker 2: It's just it's just it's not fair, and it's not 514 00:28:43,480 --> 00:28:45,400 Speaker 2: fair these kids don't have a mom. Now, it's just 515 00:28:45,480 --> 00:28:49,760 Speaker 2: really sad. Yeah, So this next one kind of happened 516 00:28:49,760 --> 00:28:51,880 Speaker 2: to us a little bit. So a couple of weeks ago, 517 00:28:51,920 --> 00:28:54,800 Speaker 2: we mentioned we were at a car wash and when 518 00:28:54,800 --> 00:28:58,120 Speaker 2: we were on the way out, the the buffer thing 519 00:28:58,200 --> 00:29:00,760 Speaker 2: at the very end, like it fount in the car back, 520 00:29:00,800 --> 00:29:03,640 Speaker 2: but the car behind us was getting increasingly close. So 521 00:29:03,680 --> 00:29:06,160 Speaker 2: I'm like telling my husband this and he's like, no, 522 00:29:06,280 --> 00:29:09,160 Speaker 2: you just don't understand. And I was like, I understand. 523 00:29:09,200 --> 00:29:12,240 Speaker 2: We were trapped. For a second. We were we were trapped, 524 00:29:12,400 --> 00:29:15,760 Speaker 2: and on top of that, I so when that happened, 525 00:29:16,040 --> 00:29:18,320 Speaker 2: my first thing was like, holy shit, this thing is 526 00:29:18,360 --> 00:29:20,920 Speaker 2: going to crush through my windshield and we're gonna die 527 00:29:21,000 --> 00:29:24,480 Speaker 2: from blown trauma. But Maria was saying that she thought 528 00:29:24,520 --> 00:29:27,320 Speaker 2: that the car was going to smashed behind us and 529 00:29:27,360 --> 00:29:30,880 Speaker 2: like in trap us in between the roller thing and 530 00:29:31,800 --> 00:29:35,920 Speaker 2: the other car. And it actually it broke my windshield 531 00:29:35,920 --> 00:29:38,160 Speaker 2: wipers too, which was a whole other drama that we 532 00:29:38,160 --> 00:29:42,840 Speaker 2: were dealing with last week. But just to give you 533 00:29:42,920 --> 00:29:44,760 Speaker 2: a little bit of the story of that, because it's 534 00:29:44,840 --> 00:29:47,320 Speaker 2: kind of funny. I brought my car to the dealership 535 00:29:47,720 --> 00:29:49,800 Speaker 2: and they tried to tell me that it was five 536 00:29:49,920 --> 00:29:52,840 Speaker 2: thousand dollars to fix my windshell wipers at the motor 537 00:29:53,360 --> 00:29:55,520 Speaker 2: the motor was broke, and this, that and the other 538 00:29:55,560 --> 00:29:59,240 Speaker 2: five It was like four nine and eighty dollars something ridiculous, right. 539 00:29:59,840 --> 00:30:03,560 Speaker 2: I I come home and I tell my brother and 540 00:30:03,640 --> 00:30:06,200 Speaker 2: he looks up the parts that they said, and the 541 00:30:06,240 --> 00:30:09,080 Speaker 2: parts weren't weren't even a thousand dollars. So he's like, 542 00:30:09,160 --> 00:30:11,200 Speaker 2: let me see, Like, I'll look at it and I'll 543 00:30:11,240 --> 00:30:12,760 Speaker 2: fix it, and we'll just order the parts and i'll 544 00:30:12,800 --> 00:30:15,800 Speaker 2: fix it. Right. My brother goes outside last week. It 545 00:30:15,880 --> 00:30:18,720 Speaker 2: was actually while we were recording mother nos death. He 546 00:30:18,840 --> 00:30:21,640 Speaker 2: was outside working on my car and he comes in 547 00:30:21,680 --> 00:30:24,280 Speaker 2: when we were on break and he says, oh, I 548 00:30:24,360 --> 00:30:27,160 Speaker 2: fixed it, And he fixed it with a dollar twenty 549 00:30:27,240 --> 00:30:30,480 Speaker 2: five bolt that was missing that had screwed off. I'm 550 00:30:30,480 --> 00:30:32,480 Speaker 2: not lying to you that this happened last week. So 551 00:30:33,120 --> 00:30:35,480 Speaker 2: I love my brother and it's awesome that he was 552 00:30:35,520 --> 00:30:38,520 Speaker 2: able to fix that, but I'm so pissed off about that. 553 00:30:38,600 --> 00:30:41,400 Speaker 2: I mean, that was ridiculous. That was ridiculous anyway, So 554 00:30:41,600 --> 00:30:44,760 Speaker 2: we're losing tracks. So in this particular car wash injury 555 00:30:44,800 --> 00:30:47,600 Speaker 2: that this woman had, the same thing happened. The thing 556 00:30:47,640 --> 00:30:50,720 Speaker 2: went through the windshield and broke her windshield, and she 557 00:30:50,880 --> 00:30:53,520 Speaker 2: had injury because of it. Yeah, you know, I was 558 00:30:53,600 --> 00:30:55,400 Speaker 2: thinking when we were in it, you know, you were 559 00:30:55,440 --> 00:30:57,280 Speaker 2: like worried the thing was going to come forward and 560 00:30:57,280 --> 00:30:59,360 Speaker 2: cross the windshield. But I was seeing it as a 561 00:30:59,400 --> 00:31:02,360 Speaker 2: final desc nation situation where the car was going to 562 00:31:02,400 --> 00:31:03,840 Speaker 2: come up behind us and then the thing was going 563 00:31:03,920 --> 00:31:06,440 Speaker 2: to come down and like crush from both ends because 564 00:31:06,480 --> 00:31:09,360 Speaker 2: the employees are like literally not paying attention. They're all 565 00:31:09,440 --> 00:31:12,600 Speaker 2: high everything. It's not even about being high, they're literally 566 00:31:12,640 --> 00:31:15,040 Speaker 2: not paying attention. Well you know what's crazy. So the 567 00:31:15,360 --> 00:31:18,160 Speaker 2: car wash that Gabe goes to, they don't let people 568 00:31:18,280 --> 00:31:19,800 Speaker 2: in the car wash, which is why I don't go 569 00:31:19,840 --> 00:31:21,280 Speaker 2: there because I don't want to get out of my car, 570 00:31:21,400 --> 00:31:23,960 Speaker 2: right and the kids, and the kids like, well now 571 00:31:24,040 --> 00:31:25,920 Speaker 2: I'm scared. I guess I don't know, but the kids 572 00:31:25,960 --> 00:31:28,200 Speaker 2: like going through the car wash and everything. But there 573 00:31:28,240 --> 00:31:30,800 Speaker 2: are lots of car washes that don't let humans go through, 574 00:31:30,840 --> 00:31:34,480 Speaker 2: and it's probably why because there are injuries reported. And 575 00:31:34,560 --> 00:31:37,400 Speaker 2: I saw that there was a couple OSHA reports of 576 00:31:37,560 --> 00:31:41,480 Speaker 2: car wash deaths. We did talk about one, didn't We 577 00:31:41,600 --> 00:31:44,080 Speaker 2: with a girl that worked at one and she got 578 00:31:44,120 --> 00:31:46,080 Speaker 2: caught and oh, yeah, her hair got pulled in the 579 00:31:46,080 --> 00:31:49,280 Speaker 2: one of the mechanisms. Yeah it yes, something she had 580 00:31:49,280 --> 00:31:51,360 Speaker 2: a scalp injury or something, and then we figured it 581 00:31:51,400 --> 00:31:53,440 Speaker 2: was her hair got caught in. Honestly, I was going 582 00:31:53,480 --> 00:31:55,920 Speaker 2: to go there yesterday when I left your house, and 583 00:31:56,080 --> 00:31:58,400 Speaker 2: I was like, I'm gonna just wait and go to 584 00:31:58,640 --> 00:32:01,320 Speaker 2: you have another one close to you, where the one 585 00:32:01,360 --> 00:32:03,160 Speaker 2: Gabe goes to. I think where you don't get out 586 00:32:03,240 --> 00:32:04,760 Speaker 2: or where you get out, and I think I'm just 587 00:32:05,600 --> 00:32:07,120 Speaker 2: now on. I don't want to get out. I don't 588 00:32:07,120 --> 00:32:09,760 Speaker 2: know that. I feel like I get like sexually stalked 589 00:32:09,760 --> 00:32:11,479 Speaker 2: by the workers there. I don't know, I just like 590 00:32:11,520 --> 00:32:14,680 Speaker 2: always staring at it. I just feel like I don't 591 00:32:14,680 --> 00:32:16,560 Speaker 2: want to be in that position, and I especially don't 592 00:32:16,600 --> 00:32:20,720 Speaker 2: want to be alone if something like that happens. Oh totally, 593 00:32:21,040 --> 00:32:24,120 Speaker 2: But the lady ended up. You know, she had injuries, 594 00:32:24,160 --> 00:32:26,960 Speaker 2: but she's okay, so yeah, So I mean, but she 595 00:32:27,000 --> 00:32:29,200 Speaker 2: could have had blunt injuries if that thing smushed on 596 00:32:29,320 --> 00:32:31,719 Speaker 2: her or it probably was more due to the glass 597 00:32:31,760 --> 00:32:35,960 Speaker 2: breaking and on most windshields of any modern car that 598 00:32:36,040 --> 00:32:39,320 Speaker 2: the glass is tempered so it can't cause like huge 599 00:32:39,680 --> 00:32:42,480 Speaker 2: incisional slashes across her neck and things like that, but 600 00:32:42,560 --> 00:32:45,600 Speaker 2: you could still get hurt from the glass. So that's 601 00:32:45,600 --> 00:32:48,800 Speaker 2: probably what happened, all right. Next to nineteen year old 602 00:32:48,800 --> 00:32:52,760 Speaker 2: who was a quarter mile away from explosion was struck 603 00:32:52,800 --> 00:32:55,040 Speaker 2: in the head and killed by a canister that flew 604 00:32:55,120 --> 00:33:00,000 Speaker 2: from the blast, which is absolutely crazy. So beautine containers 605 00:33:00,200 --> 00:33:04,160 Speaker 2: fire on Monday night at a vaping distribution company about 606 00:33:04,200 --> 00:33:07,240 Speaker 2: twenty five miles outside of Detroit. So the vape company 607 00:33:07,320 --> 00:33:12,080 Speaker 2: had recently received a semi load of bututine containers and 608 00:33:12,160 --> 00:33:14,760 Speaker 2: over half of that was still at the facility when 609 00:33:14,800 --> 00:33:17,840 Speaker 2: the explosion occurred. They also had palettes of nitrous and 610 00:33:17,920 --> 00:33:21,080 Speaker 2: lighter fluid, and over one hundred thousand vape pens. With 611 00:33:21,960 --> 00:33:24,640 Speaker 2: the lithium batteries, which we've talked about at length, they 612 00:33:24,640 --> 00:33:28,120 Speaker 2: are a huge problem. So combine all these really horrible 613 00:33:28,240 --> 00:33:32,720 Speaker 2: ingredients together and boom, massive, massive explosion. Firefighters said it 614 00:33:32,760 --> 00:33:35,320 Speaker 2: was one of the worst fires and explosions they've ever 615 00:33:35,360 --> 00:33:38,960 Speaker 2: seen in that area. The firefighters said that that a 616 00:33:39,000 --> 00:33:41,520 Speaker 2: piece of it hit their windshield and broke their windshield 617 00:33:41,760 --> 00:33:45,360 Speaker 2: and hit a firefighter and injured them. It's so, this 618 00:33:45,400 --> 00:33:47,600 Speaker 2: is the thing, like all of those people living around 619 00:33:47,600 --> 00:33:50,200 Speaker 2: there probably had no idea about what's going on at 620 00:33:50,240 --> 00:33:54,360 Speaker 2: this factory, right, And it's so scary because it's it's 621 00:33:54,440 --> 00:33:58,640 Speaker 2: essentially like the kid got shot with something huge going 622 00:33:58,680 --> 00:34:01,960 Speaker 2: that fast and like a shrapnel injury. It's crazy, and 623 00:34:02,000 --> 00:34:03,840 Speaker 2: it was enough to kill him. So yeah, and they 624 00:34:03,880 --> 00:34:05,800 Speaker 2: probably hit him in the head or could have caused 625 00:34:05,800 --> 00:34:09,800 Speaker 2: a large laceration somewhere in his abdominal cavity or severed 626 00:34:09,800 --> 00:34:12,359 Speaker 2: some kind of vessel. It's just so nuts. Yeah, they 627 00:34:12,360 --> 00:34:15,520 Speaker 2: said the debris field was about half a mile away 628 00:34:15,560 --> 00:34:18,640 Speaker 2: and people one to two miles from the blast could 629 00:34:18,000 --> 00:34:22,399 Speaker 2: feel it happened. So that's absolutely crazy. But they were 630 00:34:22,480 --> 00:34:25,839 Speaker 2: saying though that the company was doing everything right, like 631 00:34:25,880 --> 00:34:28,480 Speaker 2: they were doing everything legal. They're still doing an investigation 632 00:34:28,560 --> 00:34:30,560 Speaker 2: as to how the fire broke out, but it's not like, 633 00:34:30,960 --> 00:34:33,439 Speaker 2: you know, they had all this illegal stuff in there 634 00:34:33,480 --> 00:34:36,960 Speaker 2: and they were doing something shady. So they're still trying 635 00:34:36,960 --> 00:34:38,960 Speaker 2: to look up what the cause of the fire was. 636 00:34:39,000 --> 00:34:41,960 Speaker 2: But they are cooperating, which is nice because they feel 637 00:34:42,000 --> 00:34:45,120 Speaker 2: like a lot of incidents lately people are certainly not. 638 00:34:53,880 --> 00:34:57,239 Speaker 2: This episode is brought to you by crime Con. We 639 00:34:57,320 --> 00:34:58,880 Speaker 2: said we were going to be at crime Con and 640 00:34:58,920 --> 00:35:01,719 Speaker 2: you guys could come and meet us. It's so exciting. Yeah, 641 00:35:01,760 --> 00:35:03,600 Speaker 2: you're gonna be doing a lecture, We're gonna be doing 642 00:35:03,600 --> 00:35:06,160 Speaker 2: a live podcast. It's going to be so exciting. It's 643 00:35:06,200 --> 00:35:09,520 Speaker 2: also in my favorite place ever, Tennessee. So from May 644 00:35:09,560 --> 00:35:12,560 Speaker 2: thirty first to June's second, you can go to Nashville 645 00:35:12,560 --> 00:35:15,120 Speaker 2: Tennessee and go to the central place for true crime 646 00:35:15,200 --> 00:35:18,719 Speaker 2: and mystery. Crime Con has been slowly rolling out their 647 00:35:18,719 --> 00:35:21,520 Speaker 2: guest speakers and some podcasts that are gonna be there, 648 00:35:21,920 --> 00:35:24,319 Speaker 2: So if you go on the crime Con Instagram, it's 649 00:35:24,400 --> 00:35:26,960 Speaker 2: at crime Con you could check out. Every week they're 650 00:35:26,960 --> 00:35:30,720 Speaker 2: announcing some new people and fun activities. So, for example, 651 00:35:30,760 --> 00:35:33,080 Speaker 2: a couple of weeks ago, they announced Chris Hansen of 652 00:35:33,160 --> 00:35:35,399 Speaker 2: To Catch a Predator Fame is going to be there. 653 00:35:35,480 --> 00:35:38,520 Speaker 2: It's like our favorite your that's like our childhood bonding 654 00:35:38,560 --> 00:35:41,880 Speaker 2: show we had together. Oh yeah, we are so excited. 655 00:35:41,920 --> 00:35:44,080 Speaker 2: We can't even tell you. We're kind of fan girling 656 00:35:44,120 --> 00:35:47,040 Speaker 2: out about that one a little bit. Maya Kowalski is 657 00:35:47,120 --> 00:35:49,120 Speaker 2: also going to be there. We've talked about her case 658 00:35:49,200 --> 00:35:52,160 Speaker 2: on here. There's a couple podcasts going to wander each 659 00:35:52,200 --> 00:35:55,759 Speaker 2: generation Why that's an awesome show, and now Mother Knows 660 00:35:55,800 --> 00:35:57,920 Speaker 2: Death is also going to be there, So you know, 661 00:35:58,640 --> 00:36:00,279 Speaker 2: you guys need to hurry up and go to their 662 00:36:00,320 --> 00:36:03,200 Speaker 2: website though, because the gold and platinum tickets are sold 663 00:36:03,239 --> 00:36:06,160 Speaker 2: out and the standard passes are also almost sold out, 664 00:36:06,160 --> 00:36:08,640 Speaker 2: so you definitely want to rush over there if you 665 00:36:09,000 --> 00:36:11,359 Speaker 2: happen to not get there. In time, you could join 666 00:36:11,400 --> 00:36:13,960 Speaker 2: a waiting list. You could also join their free mailing 667 00:36:14,000 --> 00:36:17,239 Speaker 2: list for any announcements and updates. That's crimecon dot com 668 00:36:17,280 --> 00:36:20,799 Speaker 2: slash email. So you know, we are very excited to go. 669 00:36:20,920 --> 00:36:23,839 Speaker 2: This is an awesome opportunity. We are excited to meet 670 00:36:23,880 --> 00:36:26,000 Speaker 2: all of you guys and just some like minded people. 671 00:36:26,040 --> 00:36:28,760 Speaker 2: You know, people in your life are not always accepting 672 00:36:28,800 --> 00:36:30,759 Speaker 2: of your love of true crime, but this is the 673 00:36:30,800 --> 00:36:33,440 Speaker 2: one place where everybody will be on the same page. 674 00:36:33,880 --> 00:36:36,560 Speaker 2: So you want to head over to Instagram at crime 675 00:36:36,560 --> 00:36:39,480 Speaker 2: con and follow them for any possible updates, or join 676 00:36:39,520 --> 00:36:46,239 Speaker 2: their freemailing list at crimecon dot com slash email. All right, 677 00:36:46,320 --> 00:36:49,160 Speaker 2: let's get started with violent crime. So two women who 678 00:36:49,160 --> 00:36:51,480 Speaker 2: were fifty five and sixty three years old found their 679 00:36:51,520 --> 00:36:54,040 Speaker 2: eighty year old roommate dead and decided to take on 680 00:36:54,160 --> 00:36:57,920 Speaker 2: kind of a weekend at bernie situation. So they find 681 00:36:57,920 --> 00:36:59,839 Speaker 2: this guy dead and they're like, you know what, we 682 00:37:00,000 --> 00:37:02,160 Speaker 2: he took him to a bank a while ago, so 683 00:37:02,400 --> 00:37:04,080 Speaker 2: let's go back to the bank and steal all his 684 00:37:04,160 --> 00:37:06,760 Speaker 2: money now that he's dead. So they take his body, 685 00:37:07,040 --> 00:37:08,879 Speaker 2: they put it in a car, and they go through 686 00:37:08,920 --> 00:37:12,200 Speaker 2: the drive through at the bank and the bank teller 687 00:37:12,320 --> 00:37:15,279 Speaker 2: sees this guy in the car and they give these 688 00:37:15,320 --> 00:37:17,799 Speaker 2: women the money and then they drive off right and 689 00:37:17,840 --> 00:37:20,560 Speaker 2: then they dump his body at some medical center, and 690 00:37:20,560 --> 00:37:24,400 Speaker 2: they're like, we don't know what happened. He's dead. Was 691 00:37:24,920 --> 00:37:27,120 Speaker 2: I want to see the footage? And was he wearing 692 00:37:27,120 --> 00:37:30,360 Speaker 2: a Hawaiian shirt and sunglasses? I'm just asked, like literally, 693 00:37:30,440 --> 00:37:34,120 Speaker 2: this is so ridiculous. So they drop him off at 694 00:37:34,120 --> 00:37:37,080 Speaker 2: this medical center, they leave quickly, they give the staff 695 00:37:37,120 --> 00:37:40,919 Speaker 2: no information, so obviously that sets off a million red flags, right, 696 00:37:41,360 --> 00:37:44,359 Speaker 2: So then the investigators go to question them, and they 697 00:37:44,400 --> 00:37:47,799 Speaker 2: immediately admitted to what they've done. Do you think that 698 00:37:48,200 --> 00:37:51,200 Speaker 2: I'm pretty sure they probably plan this ahead of time, like, oh, 699 00:37:51,239 --> 00:37:53,800 Speaker 2: Bro's getting old, Like, let's do this when he dies 700 00:37:53,840 --> 00:37:56,359 Speaker 2: if we find him dead, I don't. I don't think 701 00:37:56,440 --> 00:37:59,480 Speaker 2: right now, they haven't said anything that was suspicious about 702 00:37:59,520 --> 00:38:02,520 Speaker 2: his death. They will do an autopsy on them to 703 00:38:02,560 --> 00:38:05,239 Speaker 2: see if they like actually killed him or if he 704 00:38:05,280 --> 00:38:07,960 Speaker 2: really just died of natural causes. But it's still a 705 00:38:08,000 --> 00:38:10,440 Speaker 2: little creepy. And there is a third person involved that 706 00:38:10,480 --> 00:38:13,000 Speaker 2: allegedly helped them put the body in the car, but 707 00:38:13,120 --> 00:38:16,520 Speaker 2: that person's been unnamed. But these two women have been 708 00:38:16,600 --> 00:38:22,160 Speaker 2: charged with abusing a corpse. So very very interesting. Okay, 709 00:38:22,160 --> 00:38:25,000 Speaker 2: this next story is really crazy and all over the place. 710 00:38:25,080 --> 00:38:27,880 Speaker 2: So two men in Georgia were arrested in February twenty 711 00:38:27,880 --> 00:38:31,000 Speaker 2: twenty three on charges of setting off a homemade bomb 712 00:38:31,360 --> 00:38:33,120 Speaker 2: at the home of a woman with whom one of 713 00:38:33,120 --> 00:38:37,600 Speaker 2: them had a previous relationship. That's not it. So they 714 00:38:37,600 --> 00:38:41,320 Speaker 2: were indicted on multiple federal charges related to a January 715 00:38:41,400 --> 00:38:46,160 Speaker 2: thirteenth bombing and their alleged plot, which included mailing dog 716 00:38:46,239 --> 00:38:50,200 Speaker 2: feces to the ex's home and releasing a python in 717 00:38:50,239 --> 00:38:54,880 Speaker 2: her residence to eat her daughter and attempted they wanted 718 00:38:54,920 --> 00:38:58,920 Speaker 2: to scalp her as well. It's so random, right, like 719 00:38:58,960 --> 00:39:02,640 Speaker 2: what who these two guys are sitting around like plotting 720 00:39:02,680 --> 00:39:04,920 Speaker 2: this and they thought these this was a good idea. 721 00:39:05,040 --> 00:39:09,520 Speaker 2: A python is not the most dangerous snake in America 722 00:39:09,560 --> 00:39:13,160 Speaker 2: that I would use to do that. They're actually this 723 00:39:13,239 --> 00:39:15,560 Speaker 2: made me think about there's a case in the grocer room. 724 00:39:15,560 --> 00:39:17,919 Speaker 2: A video we have that is titled lunch. You should 725 00:39:17,960 --> 00:39:20,640 Speaker 2: really look that up. And I believe it took place 726 00:39:20,680 --> 00:39:23,759 Speaker 2: in Indonesia or something. There was a giant python that 727 00:39:24,000 --> 00:39:27,840 Speaker 2: ate a woman that and the video shows the snake 728 00:39:27,880 --> 00:39:29,880 Speaker 2: getting caught open and taking the woman out of the 729 00:39:29,880 --> 00:39:33,600 Speaker 2: snake's belly. There's no snakes of that anywhere near that 730 00:39:33,719 --> 00:39:37,279 Speaker 2: size in America. I'm sure you could get one if 731 00:39:37,320 --> 00:39:39,400 Speaker 2: you stole one from a zoo or something, but like, 732 00:39:39,440 --> 00:39:41,200 Speaker 2: I don't think you could just go to a pet 733 00:39:41,239 --> 00:39:45,040 Speaker 2: store and get a python that big. And they're not venomous, 734 00:39:45,160 --> 00:39:48,640 Speaker 2: so they can wrap around a person and they can 735 00:39:48,719 --> 00:39:51,480 Speaker 2: squeeze them to death, and that's how they usually kill 736 00:39:51,560 --> 00:39:54,800 Speaker 2: their prey like that. But I just think it's silly. 737 00:39:55,400 --> 00:39:57,359 Speaker 2: I don't know how old the daughter was either, because 738 00:39:57,360 --> 00:40:01,440 Speaker 2: they didn't really say that, right. No, I think I 739 00:40:01,480 --> 00:40:04,640 Speaker 2: think it's just kind of like a random snake, like oh, 740 00:40:04,680 --> 00:40:06,560 Speaker 2: I'm going to get a house cat to kill a 741 00:40:06,600 --> 00:40:09,120 Speaker 2: person or something like. There's just there's a lot more 742 00:40:09,640 --> 00:40:13,799 Speaker 2: dangerous animals if you really wanted to do that rout. 743 00:40:14,040 --> 00:40:16,959 Speaker 2: It's just so idiotic, Like they had this lady under 744 00:40:17,000 --> 00:40:20,400 Speaker 2: surveillance from December to January and then they've made a 745 00:40:20,440 --> 00:40:23,680 Speaker 2: homemade bomb and like you know, exploded her house and 746 00:40:23,680 --> 00:40:26,440 Speaker 2: then she wasn't even injured in it, and neither was 747 00:40:26,680 --> 00:40:28,920 Speaker 2: I don't even think they were home when it happened, 748 00:40:28,920 --> 00:40:32,239 Speaker 2: so it's like, what are you even doing? And you 749 00:40:32,280 --> 00:40:35,399 Speaker 2: know they were immediately caught. They're saying the police are 750 00:40:35,440 --> 00:40:39,279 Speaker 2: saying that their conspiracy charges can carry up to a 751 00:40:39,320 --> 00:40:41,799 Speaker 2: sentence of twenty years, and then they could get an 752 00:40:41,800 --> 00:40:45,200 Speaker 2: additional tenures, so they're only really facing thirty years, which 753 00:40:45,200 --> 00:40:48,760 Speaker 2: I really feel like isn't enough. If you blow somebody's 754 00:40:48,800 --> 00:40:51,960 Speaker 2: house up intentionally and you foil this whole you plan 755 00:40:52,080 --> 00:40:55,759 Speaker 2: this whole thing to like, you know, kill their kid, 756 00:40:56,040 --> 00:40:59,320 Speaker 2: mail them to a snake, they just sound like moron, 757 00:40:59,400 --> 00:41:02,960 Speaker 2: Like I don't really want these people entering society after this, 758 00:41:03,120 --> 00:41:06,000 Speaker 2: so mainly because they're so dumb, not. 759 00:41:06,040 --> 00:41:09,359 Speaker 3: Because not because they tried to do this, right, Yeah, 760 00:41:09,480 --> 00:41:12,880 Speaker 3: I mean, it's just kind of like there has to 761 00:41:12,920 --> 00:41:16,600 Speaker 3: be there has to be a greater charge for attempted murder, 762 00:41:16,719 --> 00:41:19,520 Speaker 3: right because you were going to do it. 763 00:41:19,560 --> 00:41:22,239 Speaker 2: You just didn't do a good job. Yeah, you just 764 00:41:22,280 --> 00:41:24,640 Speaker 2: sucked at it. You should actually get charged more because 765 00:41:24,640 --> 00:41:27,200 Speaker 2: you're not good at it all. Right, So that could 766 00:41:27,239 --> 00:41:30,600 Speaker 2: actually lead us into this next story about people going 767 00:41:30,640 --> 00:41:33,080 Speaker 2: to jail and serving their time and getting out and 768 00:41:33,120 --> 00:41:34,840 Speaker 2: what they do with their life when they do that. 769 00:41:35,160 --> 00:41:38,600 Speaker 2: So this guy, Sheldon Johnson was an ex convict turned 770 00:41:38,600 --> 00:41:41,680 Speaker 2: into a criminal justice activist, so he worked for a 771 00:41:41,719 --> 00:41:45,000 Speaker 2: public law firm called Queen's Defenders and was even featured 772 00:41:45,040 --> 00:41:48,520 Speaker 2: on Joe Rogan to talk about it. So, you know, 773 00:41:48,600 --> 00:41:51,360 Speaker 2: this guy was pretty notable in his you know, life 774 00:41:51,440 --> 00:41:55,440 Speaker 2: change experience. So now he's been arrested after his prison 775 00:41:55,560 --> 00:42:00,560 Speaker 2: rival's dismembered body was found and he was on security 776 00:42:00,719 --> 00:42:04,440 Speaker 2: entering his apartment right before. So not a good look. 777 00:42:04,800 --> 00:42:08,279 Speaker 2: So all the people in the building. Did you read 778 00:42:08,320 --> 00:42:10,239 Speaker 2: all the comments by the people in the building, It 779 00:42:10,280 --> 00:42:13,759 Speaker 2: seems like they were watching the whole thing unfold. The 780 00:42:13,800 --> 00:42:16,400 Speaker 2: guy went into the apartment, and then he left, and 781 00:42:16,400 --> 00:42:19,800 Speaker 2: then he came back with cleaning supplies and just they 782 00:42:19,920 --> 00:42:21,799 Speaker 2: watched the whole thing. But it's kind of cool that 783 00:42:21,880 --> 00:42:25,120 Speaker 2: the neighbors were like, Yo, something weird is going on 784 00:42:25,200 --> 00:42:28,799 Speaker 2: over here, because it wasn't nothing that was really outwardly suspicious, 785 00:42:28,840 --> 00:42:32,080 Speaker 2: except we'll tell them what he looked like when he left. Well, wait, 786 00:42:32,120 --> 00:42:34,160 Speaker 2: you're leaving out a huge gap. So there's like a 787 00:42:34,200 --> 00:42:36,759 Speaker 2: lot of questions I have in this because you know, 788 00:42:36,840 --> 00:42:39,640 Speaker 2: the neighbors are saying that they heard two men arguing 789 00:42:39,719 --> 00:42:41,759 Speaker 2: and one of them was begging for his life, and 790 00:42:41,800 --> 00:42:45,560 Speaker 2: then they heard two gunshots, and then the super checks 791 00:42:45,600 --> 00:42:48,440 Speaker 2: the security footage and sees this guy that's not the 792 00:42:48,520 --> 00:42:51,640 Speaker 2: tenant entering and leaving the apartment and calls the police 793 00:42:51,640 --> 00:42:53,880 Speaker 2: for a welfare check. So it seems like when the 794 00:42:53,880 --> 00:42:57,560 Speaker 2: police first got to the apartment, the killer opened the 795 00:42:57,600 --> 00:43:00,759 Speaker 2: door and talked them out of looking into it further 796 00:43:00,840 --> 00:43:03,120 Speaker 2: and said because they got the call, they had to check. 797 00:43:04,000 --> 00:43:07,880 Speaker 2: And then and then this guy calls the super and 798 00:43:08,000 --> 00:43:11,160 Speaker 2: is like, I want to talk to you. So the 799 00:43:11,200 --> 00:43:13,440 Speaker 2: super is kind of like shitting his pants, like I 800 00:43:13,440 --> 00:43:15,359 Speaker 2: don't know what's going to happen, but I'll just tell 801 00:43:15,400 --> 00:43:18,719 Speaker 2: the police whatever. He says to me, like you're not 802 00:43:18,800 --> 00:43:21,919 Speaker 2: in danger too, right. So then before they were able 803 00:43:21,920 --> 00:43:24,879 Speaker 2: to meet up, the police went back and then that's 804 00:43:24,920 --> 00:43:29,200 Speaker 2: when they discovered the dismembered body. Oh yeah, so his 805 00:43:29,320 --> 00:43:32,480 Speaker 2: body was in a tupperwhere like one of those tupperware bins. 806 00:43:32,920 --> 00:43:36,200 Speaker 2: His torso. Yeah, so it just said torso, though it 807 00:43:36,200 --> 00:43:38,640 Speaker 2: didn't well, his head is in a freezer and his 808 00:43:38,719 --> 00:43:41,920 Speaker 2: torso was in this blue bin. So this guy's on 809 00:43:42,080 --> 00:43:46,200 Speaker 2: surveillance leaving and going multiple times. He's like coming back 810 00:43:46,239 --> 00:43:49,120 Speaker 2: with a mop and cleaning supplies. And then he comes 811 00:43:49,160 --> 00:43:52,680 Speaker 2: back with a blue bin that never leaves obviously because 812 00:43:52,680 --> 00:43:54,960 Speaker 2: the guy's torso is in it. Now we know. And 813 00:43:55,000 --> 00:43:57,720 Speaker 2: then the third time he's seen coming back, he's wearing 814 00:43:57,800 --> 00:44:02,200 Speaker 2: a blonde wig, like a hollow like a woman we're 815 00:44:02,280 --> 00:44:05,680 Speaker 2: straight up like Halloween, like a Barbie Barbie wig from lists. 816 00:44:06,080 --> 00:44:08,759 Speaker 2: I'm thinking like, Okay, I understand people want to go 817 00:44:08,800 --> 00:44:12,719 Speaker 2: in disguises, but wouldn't you think something was more up 818 00:44:12,760 --> 00:44:15,240 Speaker 2: if you saw like a grown man wearing a woman's 819 00:44:15,280 --> 00:44:18,960 Speaker 2: like Barbie wig in the it's it's you have to see. 820 00:44:19,040 --> 00:44:20,960 Speaker 2: You have to go on the story and look at 821 00:44:20,960 --> 00:44:23,759 Speaker 2: it because it's so outrageous it sticks out like a 822 00:44:23,760 --> 00:44:26,719 Speaker 2: sore thumb. But the more important question is, though, is like, 823 00:44:27,360 --> 00:44:31,120 Speaker 2: so he's been this victim's rights activist, right for or 824 00:44:31,160 --> 00:44:34,400 Speaker 2: not victims right, but for a criminal justice reform. I'm 825 00:44:34,400 --> 00:44:37,960 Speaker 2: assuming like he's trying to say how great people's lives 826 00:44:38,000 --> 00:44:40,040 Speaker 2: can be when they get out of prison and how 827 00:44:40,040 --> 00:44:42,520 Speaker 2: they can turn their life around. Like this is not 828 00:44:42,600 --> 00:44:45,439 Speaker 2: good for business, bro, not good for business at all. No, 829 00:44:45,480 --> 00:44:47,040 Speaker 2: not good at all. And you know he stole his 830 00:44:47,080 --> 00:44:49,240 Speaker 2: car on top of it, So then when he returned, 831 00:44:49,360 --> 00:44:51,200 Speaker 2: He returned in an uber and then that's when he 832 00:44:51,239 --> 00:44:54,839 Speaker 2: had the blonde wig. And you're like, you don't live 833 00:44:54,880 --> 00:44:57,040 Speaker 2: in this day and age where you just assume everywhere 834 00:44:57,080 --> 00:45:00,000 Speaker 2: you goes under surveillance, right, even if you don't physit. 835 00:45:00,040 --> 00:45:03,360 Speaker 2: Gleasia camera, it is. And it's some of these stories 836 00:45:03,400 --> 00:45:06,120 Speaker 2: that are really crazy. You think like, oh my god, 837 00:45:06,120 --> 00:45:08,440 Speaker 2: I would really you know, that's a good idea for 838 00:45:08,600 --> 00:45:11,560 Speaker 2: a website is just to have like surveillance videos of 839 00:45:11,600 --> 00:45:15,600 Speaker 2: these stories because they're just they're really crazy. Yeah, so 840 00:45:16,000 --> 00:45:19,440 Speaker 2: all right. Next story ten thirty am on Saturday morning, 841 00:45:19,520 --> 00:45:22,000 Speaker 2: a woman and her boyfriend were getting in an argument 842 00:45:22,040 --> 00:45:25,800 Speaker 2: when he allegedly pushed her in front of the train 843 00:45:25,920 --> 00:45:28,920 Speaker 2: in Manhattan. She was twenty nine years old and has 844 00:45:28,960 --> 00:45:32,440 Speaker 2: said now have both of her feet amputated after being 845 00:45:32,520 --> 00:45:34,600 Speaker 2: pushed onto the tracks and being struck by the train. 846 00:45:35,440 --> 00:45:39,319 Speaker 2: So actually, she got pushed onto the tracks and the 847 00:45:39,400 --> 00:45:42,839 Speaker 2: train amputated her feet. Oh, I misread that. I thought 848 00:45:42,840 --> 00:45:44,759 Speaker 2: she got hit and had to I thought she had 849 00:45:44,840 --> 00:45:48,040 Speaker 2: injuries sustained from getting hit out and then oh my god. 850 00:45:47,640 --> 00:45:51,920 Speaker 2: And one of the interesting mechanisms when you get hit 851 00:45:51,960 --> 00:45:55,800 Speaker 2: by a train is that it's so hot the track 852 00:45:55,920 --> 00:45:59,680 Speaker 2: that when it cuts off your limb, it cauterizes the 853 00:45:59,760 --> 00:46:03,520 Speaker 2: vest and it's actually works as kind of a tourniquit 854 00:46:03,680 --> 00:46:07,360 Speaker 2: to keep you from bleeding. Your feet getting cut off, 855 00:46:07,600 --> 00:46:10,040 Speaker 2: you could eventually bleed to death, but it would take 856 00:46:10,080 --> 00:46:13,279 Speaker 2: longer just because the vessels are smaller farther away from 857 00:46:13,320 --> 00:46:16,600 Speaker 2: your heart. But like if it was at the thighs, 858 00:46:16,760 --> 00:46:20,520 Speaker 2: that would be an immediate bleeding concern because the femeral 859 00:46:20,600 --> 00:46:23,640 Speaker 2: artery could really bleed out really bad quickly and you 860 00:46:23,640 --> 00:46:28,239 Speaker 2: could die fast from that. But yeah, it kind of 861 00:46:28,239 --> 00:46:32,360 Speaker 2: blocks off the arteries and she goes to the hospital 862 00:46:32,360 --> 00:46:37,680 Speaker 2: and possibly needed a transfusion, but she had clear cut 863 00:46:37,719 --> 00:46:41,960 Speaker 2: amputations of both of her feet. Like how, I don't 864 00:46:42,000 --> 00:46:46,319 Speaker 2: even understand how you could ever forgive something like that, 865 00:46:46,600 --> 00:46:49,719 Speaker 2: And I mean, obviously they're not in a great relationship 866 00:46:49,760 --> 00:46:54,800 Speaker 2: because clearly your loved one, boyfriend, partner, whatever, doesn't usually 867 00:46:55,040 --> 00:46:57,680 Speaker 2: push you onto the train tracks, and when you do 868 00:46:57,840 --> 00:47:00,080 Speaker 2: something like that, you're assuming he did that because he 869 00:47:00,120 --> 00:47:02,719 Speaker 2: wanted her to get hit by a train, right, So 870 00:47:02,800 --> 00:47:06,440 Speaker 2: that's like another attempted murder situation. Also fled the scene 871 00:47:06,600 --> 00:47:09,680 Speaker 2: and wasn't arrested till nine o'clock that night, so nearly 872 00:47:09,719 --> 00:47:12,520 Speaker 2: twelve hours later, and he was only caught because he 873 00:47:12,560 --> 00:47:15,399 Speaker 2: went to meet with his parole officer. What a dick, 874 00:47:15,520 --> 00:47:17,880 Speaker 2: What a douche? Like so, so he pushed her and 875 00:47:17,920 --> 00:47:20,720 Speaker 2: saw her get injured and bleeding there and obviously saw 876 00:47:21,040 --> 00:47:25,120 Speaker 2: how traumatic that looked. She was probably wide awake and 877 00:47:25,200 --> 00:47:28,200 Speaker 2: screaming and everything else, and he left her. Like what 878 00:47:28,280 --> 00:47:30,880 Speaker 2: a douche. I mean, yeah, though he is. He's a 879 00:47:30,920 --> 00:47:34,799 Speaker 2: douche for the entire situation, and an idiot because he 880 00:47:34,800 --> 00:47:38,360 Speaker 2: has a parole officer. But like, if you just committed 881 00:47:38,360 --> 00:47:41,400 Speaker 2: a crime of this level, why even meet the parole officer, Like, 882 00:47:41,440 --> 00:47:43,520 Speaker 2: you're not even you know, you're not even gonna think 883 00:47:43,560 --> 00:47:45,640 Speaker 2: about it. They're not going to put two and two again, 884 00:47:45,680 --> 00:47:48,440 Speaker 2: You're in trouble. Yeah, and again this is probably all 885 00:47:48,480 --> 00:47:51,719 Speaker 2: on surveillance. Okay. Next, a mom and nurse has been 886 00:47:51,880 --> 00:47:55,279 Speaker 2: arrested after giving her son a drink to prevent bullying. So, 887 00:47:56,040 --> 00:47:59,719 Speaker 2: an eleven year old student allegedly stole a drink belonging 888 00:47:59,760 --> 00:48:02,959 Speaker 2: to the lady's son. The boy went home told the mom, 889 00:48:03,320 --> 00:48:08,840 Speaker 2: who then combined lemon salt and vinegar into a sports bottle, 890 00:48:08,960 --> 00:48:11,600 Speaker 2: saying next time he takes it really like he'll learn 891 00:48:11,680 --> 00:48:15,319 Speaker 2: his lesson, right. So the contents were not toxic, but 892 00:48:15,560 --> 00:48:18,720 Speaker 2: the child that was bullying her son did take the drink, 893 00:48:18,800 --> 00:48:23,439 Speaker 2: drank it and was hospitalized. I don't know. I keep going, 894 00:48:24,640 --> 00:48:26,279 Speaker 2: this is going to be really messed up to say, 895 00:48:26,320 --> 00:48:28,600 Speaker 2: but I keep going really back and forth to this, 896 00:48:28,800 --> 00:48:33,800 Speaker 2: Like I if you have like a tablespoon of vinegar, 897 00:48:33,880 --> 00:48:37,640 Speaker 2: which is I just actually read some study that about 898 00:48:37,640 --> 00:48:41,520 Speaker 2: apple cider vinegar and weight loss, and taking a tablespoon 899 00:48:41,600 --> 00:48:44,799 Speaker 2: of vinegar it could give you, It could give you 900 00:48:44,960 --> 00:48:48,000 Speaker 2: acid reflux, but also sometimes it's used for acid reflux. 901 00:48:48,360 --> 00:48:52,560 Speaker 2: But also like taking a tablespoon of vinegar isn't going 902 00:48:52,640 --> 00:48:58,160 Speaker 2: to really hurt anybody. And but I think it's not 903 00:48:58,320 --> 00:49:02,359 Speaker 2: cool to give to like give kids something that they 904 00:49:02,400 --> 00:49:06,239 Speaker 2: don't know that they're drinking. It probably tasted bad, really bad, 905 00:49:06,280 --> 00:49:09,480 Speaker 2: and then the kid wanted to throw up just because 906 00:49:09,520 --> 00:49:12,160 Speaker 2: of the bad taste. But I don't really necessarily think 907 00:49:12,200 --> 00:49:15,360 Speaker 2: that the kid was injured. I just I just don't 908 00:49:15,360 --> 00:49:18,480 Speaker 2: buy that. Yeah, he said he developed a headache and nausea, 909 00:49:18,560 --> 00:49:20,560 Speaker 2: And because they didn't know what was in the drink, 910 00:49:20,600 --> 00:49:23,120 Speaker 2: that's why they brought him to the hospital. That's that 911 00:49:23,239 --> 00:49:26,200 Speaker 2: was That was all just emotional. I don't really think 912 00:49:26,200 --> 00:49:29,360 Speaker 2: he had any physics. It's like he drank salad dressing. 913 00:49:29,400 --> 00:49:31,319 Speaker 2: Come on, like and a sip of it. It's not 914 00:49:31,520 --> 00:49:35,480 Speaker 2: how much did he possibly drink? Yeah, but I mean, 915 00:49:35,480 --> 00:49:38,120 Speaker 2: come on, it's it's like it's she shouldn't have did it. 916 00:49:38,160 --> 00:49:39,880 Speaker 2: But I don't think. I don't think it should be 917 00:49:39,920 --> 00:49:42,800 Speaker 2: like she poisoned my son like simmered down. No, exactly, 918 00:49:42,840 --> 00:49:45,640 Speaker 2: because it's saying she's charged with injury to a child 919 00:49:45,719 --> 00:49:49,120 Speaker 2: causing bodily harm. But she said she would. She's a nurse, 920 00:49:49,120 --> 00:49:51,040 Speaker 2: and she said she knew it was non toxic. She 921 00:49:51,160 --> 00:49:53,560 Speaker 2: just wanted the kid to stop fucking with her son. 922 00:49:55,080 --> 00:49:58,360 Speaker 2: I just can't get behind being angry, this angry about this, 923 00:49:58,520 --> 00:50:01,759 Speaker 2: Like I don't, I don't. I wouldn't. I wouldn't do it, 924 00:50:01,800 --> 00:50:05,160 Speaker 2: but I don't. I don't know if you if you 925 00:50:05,239 --> 00:50:07,600 Speaker 2: said it was salad dressing, if I read said it 926 00:50:07,640 --> 00:50:10,000 Speaker 2: was salad dressing mixed with gatorade, would you would you 927 00:50:10,040 --> 00:50:13,080 Speaker 2: be mad about it? Like? No, It's it's kind of 928 00:50:13,320 --> 00:50:15,320 Speaker 2: it's kind of like I think sometimes you got to 929 00:50:15,360 --> 00:50:17,240 Speaker 2: teach a kid a lesson. Because they're being a douche. 930 00:50:17,280 --> 00:50:19,239 Speaker 2: I don't know, Like now, I don't know. Maybe she 931 00:50:19,360 --> 00:50:21,600 Speaker 2: put a whole bottle of vinegar in a Stanley cup 932 00:50:21,600 --> 00:50:25,120 Speaker 2: and the kid like drank a lot of it somehow, 933 00:50:25,120 --> 00:50:28,240 Speaker 2: But I just I don't think that that's what really happened. 934 00:50:28,280 --> 00:50:31,479 Speaker 2: I think that he was probably like what the hell 935 00:50:31,600 --> 00:50:34,080 Speaker 2: was that? Because if you ever have drank straight vinegar, 936 00:50:34,160 --> 00:50:37,120 Speaker 2: it's a shock to the system. He's a kid, he 937 00:50:37,200 --> 00:50:39,520 Speaker 2: probably never had it and was like what is this? 938 00:50:41,080 --> 00:50:44,319 Speaker 2: And and and like yeah, maybe thought he was poisoned, right, 939 00:50:44,520 --> 00:50:48,400 Speaker 2: Like yeah, I mean, I understand why they wanted to 940 00:50:48,440 --> 00:50:50,239 Speaker 2: send him to the hospital, But if they know for 941 00:50:50,320 --> 00:50:53,560 Speaker 2: a fact that those were the ingredients, then I don't 942 00:50:53,640 --> 00:50:59,040 Speaker 2: understand why she was charged. But I don't know. I 943 00:51:01,440 --> 00:51:05,200 Speaker 2: just I don't know either because I'm thinking, like could 944 00:51:05,239 --> 00:51:08,880 Speaker 2: because I guess what was in the drink is the kid, 945 00:51:09,160 --> 00:51:11,239 Speaker 2: if you want to talk from a legal perspective, the 946 00:51:11,320 --> 00:51:15,000 Speaker 2: kid thought it was juice, even though he was stealing 947 00:51:15,000 --> 00:51:18,120 Speaker 2: it from another kid, and he thought it was juice, 948 00:51:18,120 --> 00:51:22,080 Speaker 2: and really it was salad dressing and that's not really 949 00:51:22,160 --> 00:51:25,960 Speaker 2: something that you would drink typically, So he got duped 950 00:51:26,080 --> 00:51:38,240 Speaker 2: into drinking something that a person wouldn't normally drink. I guess. Yeah. 951 00:51:38,600 --> 00:51:40,960 Speaker 2: Every week on Mother Knows that we talk about all 952 00:51:41,000 --> 00:51:43,200 Speaker 2: of these different stories that relates to posts that we 953 00:51:43,280 --> 00:51:45,160 Speaker 2: have in the grocer Room. And I think you guys 954 00:51:45,200 --> 00:51:47,840 Speaker 2: would really love it if you joined right now. You 955 00:51:47,840 --> 00:51:50,520 Speaker 2: could join for only five ninety nine a month and 956 00:51:50,560 --> 00:51:53,440 Speaker 2: you get to see multiple posts a week. We have 957 00:51:53,640 --> 00:51:58,520 Speaker 2: thousands of posts, pictures, videos over the course of years. 958 00:51:58,520 --> 00:52:00,280 Speaker 2: When did we start the gross Room in two twenty 959 00:52:00,360 --> 00:52:03,879 Speaker 2: twenty nineteen, Yeah, and you can see all the way 960 00:52:03,920 --> 00:52:07,239 Speaker 2: back and it's just really awesome. If you have an 961 00:52:07,280 --> 00:52:12,360 Speaker 2: interest in any particular topic, you could search by the title, 962 00:52:12,480 --> 00:52:14,840 Speaker 2: like I was just telling you about the guy that 963 00:52:14,880 --> 00:52:18,160 Speaker 2: got impelled with the garden flag, and that is called 964 00:52:18,239 --> 00:52:21,960 Speaker 2: damage by Decoration. But you also could just search, like today, 965 00:52:22,000 --> 00:52:23,840 Speaker 2: I didn't remember what I called the post, so I 966 00:52:23,960 --> 00:52:28,160 Speaker 2: just searched garden flag there and lawnmower. If you search lawnmower, 967 00:52:28,200 --> 00:52:31,440 Speaker 2: all the lawnmower accidents will come up. So it's it's 968 00:52:31,520 --> 00:52:33,560 Speaker 2: really awesome when we have a great group of people 969 00:52:33,719 --> 00:52:36,839 Speaker 2: in the gross Room. So only five ninety nine a month. Yeah, 970 00:52:36,840 --> 00:52:43,279 Speaker 2: So visit Thegrossroom dot com for more info. Okay, on 971 00:52:43,400 --> 00:52:45,960 Speaker 2: the medical stories. So, a fifty two year old man 972 00:52:46,000 --> 00:52:49,120 Speaker 2: in Florida was thought to be suffering from severe migraines, 973 00:52:49,160 --> 00:52:52,040 Speaker 2: but was actually battling a bizarre tape or an infestation 974 00:52:52,200 --> 00:52:57,560 Speaker 2: in his brain, which was caused by undercooked bacon. Yeah, 975 00:52:58,560 --> 00:53:01,800 Speaker 2: I love in the story this said, somebody call a ambulance, 976 00:53:02,000 --> 00:53:06,600 Speaker 2: get it like? But so, actually, the next three stories 977 00:53:06,600 --> 00:53:09,360 Speaker 2: we have this week are talking about people eating weird 978 00:53:09,360 --> 00:53:14,360 Speaker 2: shit and getting weird parasites or toxins. But so the 979 00:53:14,400 --> 00:53:17,799 Speaker 2: first case that we're talking about is a pork tapeworm. 980 00:53:18,120 --> 00:53:20,080 Speaker 2: And this is why they tell you to cook pork. 981 00:53:20,160 --> 00:53:23,200 Speaker 2: You don't really ever serve pork raw, because you can 982 00:53:23,480 --> 00:53:27,000 Speaker 2: ingest these the larvae, or you can ingest it in 983 00:53:27,040 --> 00:53:30,200 Speaker 2: the actual meat that you eat. And apparently he liked 984 00:53:30,200 --> 00:53:34,040 Speaker 2: to eat really soft bacon, it said. And so you 985 00:53:34,080 --> 00:53:36,080 Speaker 2: could get it a couple of different ways. You could 986 00:53:36,080 --> 00:53:39,520 Speaker 2: get it from actually ingesting pork that has it in there, 987 00:53:40,000 --> 00:53:41,839 Speaker 2: or you can get it if a person in your 988 00:53:41,880 --> 00:53:45,600 Speaker 2: house is pooping and not wiping and washing properly, and 989 00:53:45,640 --> 00:53:48,960 Speaker 2: somehow you touch something like a fecal oral transmission, and 990 00:53:49,000 --> 00:53:52,960 Speaker 2: you touch something and ingest the eggs by accident and 991 00:53:53,239 --> 00:53:56,080 Speaker 2: it causes a tapeworm, which is this is just really 992 00:53:56,200 --> 00:53:59,120 Speaker 2: nasty like that you ingest the eggs and then the 993 00:53:59,600 --> 00:54:02,919 Speaker 2: worm starts to grow inside your body and travels its 994 00:54:02,960 --> 00:54:06,239 Speaker 2: way up into your brain and then kind of insists itself, 995 00:54:07,080 --> 00:54:11,000 Speaker 2: meaning like assist forms around this worm inside of your brain. 996 00:54:11,640 --> 00:54:15,279 Speaker 2: And so it's it's actually worldwide, it's the number one 997 00:54:15,360 --> 00:54:19,000 Speaker 2: cause of seizures in people, because this happens in other 998 00:54:19,080 --> 00:54:21,719 Speaker 2: countries all the time, especially ones that don't that have 999 00:54:21,800 --> 00:54:26,080 Speaker 2: poor sanitation. But in America there's only like a thousand 1000 00:54:26,080 --> 00:54:29,520 Speaker 2: hospitalizations a year for this, so it's just not common. 1001 00:54:30,000 --> 00:54:32,520 Speaker 2: And the way to just avoid this is to just 1002 00:54:33,600 --> 00:54:36,240 Speaker 2: cook your pork all the way. You can't you can't 1003 00:54:36,280 --> 00:54:39,080 Speaker 2: serve it rang just because there's a rare chance that 1004 00:54:39,120 --> 00:54:41,319 Speaker 2: this could happen, and that's why they tell you to 1005 00:54:41,360 --> 00:54:46,799 Speaker 2: do that. But he was suffering like severe migraines. And see, 1006 00:54:46,800 --> 00:54:48,799 Speaker 2: this is why why I think it would be so 1007 00:54:49,000 --> 00:54:52,480 Speaker 2: cool to be well, it's obviously it's cool to do 1008 00:54:52,560 --> 00:54:56,880 Speaker 2: autopsy and to do surgical pathology, but in this case 1009 00:54:57,520 --> 00:54:59,680 Speaker 2: we wouldn't see anything in a patient like this, So 1010 00:54:59,760 --> 00:55:01,480 Speaker 2: I think I think it would be cool as a 1011 00:55:01,640 --> 00:55:04,880 Speaker 2: radiologist to have. Okay, this guy came into the emergency room, 1012 00:55:04,920 --> 00:55:08,240 Speaker 2: he's having these debilitating migraines, and you do the imaging 1013 00:55:08,280 --> 00:55:10,640 Speaker 2: and then you could see this in their brain and 1014 00:55:10,680 --> 00:55:12,799 Speaker 2: it like that must be kind of cool from a 1015 00:55:12,880 --> 00:55:17,319 Speaker 2: scientific perspective. Yeah, So this kind of leads us into 1016 00:55:17,320 --> 00:55:19,480 Speaker 2: our next story too, which is a mom found a 1017 00:55:19,560 --> 00:55:23,040 Speaker 2: huge parasitic worm in two year old daughter's diaper, which 1018 00:55:23,120 --> 00:55:27,120 Speaker 2: the CDC claimed she caught from pigs on her family's farm. 1019 00:55:28,120 --> 00:55:31,200 Speaker 2: So again, this happens. It happened in America. I had 1020 00:55:31,200 --> 00:55:35,680 Speaker 2: a case working in Philadelphia with this one time of 1021 00:55:35,760 --> 00:55:39,160 Speaker 2: really years ago of a patient that had a scare. 1022 00:55:39,239 --> 00:55:42,400 Speaker 2: So that's a round worm. Very but it looks like 1023 00:55:42,440 --> 00:55:45,080 Speaker 2: a big worm. Like they're really disturbing looking when you 1024 00:55:45,120 --> 00:55:48,200 Speaker 2: see them inside of a human. And apparently the mom 1025 00:55:48,280 --> 00:55:50,560 Speaker 2: was changing this baby's diaper and saw the worm in 1026 00:55:50,640 --> 00:55:53,239 Speaker 2: the diaper and she threw it out and they did 1027 00:55:53,280 --> 00:55:55,239 Speaker 2: some work up and they found that like maybe that 1028 00:55:55,400 --> 00:55:58,839 Speaker 2: was the only one that she had. The mom caught 1029 00:55:58,880 --> 00:56:01,640 Speaker 2: it really early, but they said that the two year 1030 00:56:01,640 --> 00:56:04,759 Speaker 2: old also has a twin and they enjoyed eating household 1031 00:56:04,840 --> 00:56:10,040 Speaker 2: plant dirt, which I'm assuming they were probably getting the 1032 00:56:10,080 --> 00:56:13,200 Speaker 2: dirt from their backyard though, which is where pigs are pooping, 1033 00:56:13,239 --> 00:56:15,919 Speaker 2: and that's where they picked up the eggs and ingested them. 1034 00:56:16,840 --> 00:56:19,400 Speaker 2: And really, if your kids sitting there, like I'm not 1035 00:56:19,560 --> 00:56:22,359 Speaker 2: one of these germophobes at all, trust me, Like I 1036 00:56:22,400 --> 00:56:25,080 Speaker 2: think kids could eat dirt and it's fine and all. 1037 00:56:25,160 --> 00:56:27,439 Speaker 2: This is just like a rare thing. But you also 1038 00:56:27,480 --> 00:56:31,279 Speaker 2: shouldn't really encourage your kid or just ignore if they're 1039 00:56:31,280 --> 00:56:34,160 Speaker 2: just sitting there eating handfuls of dirt. And you might 1040 00:56:34,200 --> 00:56:37,480 Speaker 2: want to even go get them checked for nutritional deficiencies 1041 00:56:37,520 --> 00:56:42,919 Speaker 2: if they're eating things that aren't considered food. But yeah, 1042 00:56:43,440 --> 00:56:45,520 Speaker 2: I just thought that that was really interesting that the 1043 00:56:45,600 --> 00:56:47,480 Speaker 2: kids just like, yeah, her kids just sit there and 1044 00:56:47,520 --> 00:56:51,919 Speaker 2: eat dirt. Yeah, definitely. But I also just picture it's 1045 00:56:51,960 --> 00:56:54,160 Speaker 2: probably hard. You know, we have a lot of plants, 1046 00:56:54,160 --> 00:56:56,000 Speaker 2: so I imagine it's really hard if you have a 1047 00:56:56,040 --> 00:56:58,879 Speaker 2: toddler that's just you know, you could turn your head 1048 00:56:58,920 --> 00:57:01,200 Speaker 2: for one second and they already have a handful of 1049 00:57:01,200 --> 00:57:03,680 Speaker 2: it in your mouth. I just think, though, I like 1050 00:57:03,760 --> 00:57:05,680 Speaker 2: thinking of that of all the plants in the house 1051 00:57:05,719 --> 00:57:08,520 Speaker 2: and stuff, especially for me, like I put a lot 1052 00:57:08,600 --> 00:57:11,719 Speaker 2: of don't they're chemicals, like plant food and things like 1053 00:57:11,760 --> 00:57:14,319 Speaker 2: that and sprays or like, I don't want my kids 1054 00:57:14,400 --> 00:57:17,080 Speaker 2: putting that stuff in their mouth, So I would be 1055 00:57:17,240 --> 00:57:21,360 Speaker 2: frowning upon that. No, definitely, So next as the story 1056 00:57:21,480 --> 00:57:23,960 Speaker 2: I ever thought we'd really be talking about, which is 1057 00:57:24,000 --> 00:57:28,760 Speaker 2: about consuming sea turtle meat. So nine people have died, 1058 00:57:28,800 --> 00:57:31,640 Speaker 2: which was eight children and one adult, and seventy eight 1059 00:57:31,720 --> 00:57:35,000 Speaker 2: other people were hospitalized after eating sea turtle meat on 1060 00:57:35,120 --> 00:57:39,200 Speaker 2: Pemba Island last Tuesday. Sea turtle meat is considered a 1061 00:57:39,280 --> 00:57:44,720 Speaker 2: delicacy there and even though it periodically results in deaths. 1062 00:57:45,120 --> 00:57:48,400 Speaker 2: So explain what this food poisoning that the sea turtle 1063 00:57:48,400 --> 00:57:51,360 Speaker 2: meat could give people and why it's so dangerous. So 1064 00:57:51,480 --> 00:57:57,160 Speaker 2: this is called shilino toxism, and it is it seems 1065 00:57:57,200 --> 00:58:00,000 Speaker 2: like they don't really one hundred percent know the mechanism 1066 00:58:00,200 --> 00:58:02,680 Speaker 2: because it's it's kind of rare, but they think that 1067 00:58:02,720 --> 00:58:06,680 Speaker 2: it's a neurotoxin, which means that it could it's almost 1068 00:58:06,720 --> 00:58:11,320 Speaker 2: probably like botox is a neurotoxin too, if you have botulism. Right, 1069 00:58:11,760 --> 00:58:15,440 Speaker 2: So what happens is a few hours or even days 1070 00:58:15,480 --> 00:58:19,840 Speaker 2: after you ingest the meat, you can become nauseous, vomiting diarrhea, 1071 00:58:20,360 --> 00:58:22,720 Speaker 2: and the autopsy in these people have shown lots of 1072 00:58:22,760 --> 00:58:24,880 Speaker 2: different things, and one of them is liver and necrosis, 1073 00:58:24,880 --> 00:58:28,120 Speaker 2: so that's when the liver is actually dying or dead. 1074 00:58:28,800 --> 00:58:32,920 Speaker 2: And one of the interesting things about this though, is 1075 00:58:32,960 --> 00:58:36,760 Speaker 2: that since obviously there's not a ton of people that 1076 00:58:36,840 --> 00:58:40,320 Speaker 2: eat this meat and die and it's in a rare 1077 00:58:40,360 --> 00:58:42,160 Speaker 2: part of the country, and they don't just they just 1078 00:58:42,160 --> 00:58:45,240 Speaker 2: don't have a lot of studies on it that they had. 1079 00:58:46,280 --> 00:58:49,040 Speaker 2: The patients that died from this, they would take out 1080 00:58:49,160 --> 00:58:53,960 Speaker 2: their stomach contents after autopsy and feed the stomach contents 1081 00:58:54,000 --> 00:58:58,280 Speaker 2: to animals to see what would happen, and the animals died. Wow. Yeah, 1082 00:58:58,480 --> 00:59:02,320 Speaker 2: Like that's that's really some science right there. Right, So, 1083 00:59:03,840 --> 00:59:07,280 Speaker 2: I don't know, it's it's more it's more specific to 1084 00:59:07,360 --> 00:59:11,920 Speaker 2: injure children. And in this case it was the nine people. 1085 00:59:11,960 --> 00:59:14,320 Speaker 2: That was the nine people, nine people, but it was 1086 00:59:14,360 --> 00:59:16,840 Speaker 2: eight kids and one of tah Yeah, and eight of 1087 00:59:16,880 --> 00:59:18,840 Speaker 2: them were kids, So it is it is known that 1088 00:59:18,880 --> 00:59:22,919 Speaker 2: it's more toxic to children. So if you if that's 1089 00:59:22,960 --> 00:59:24,840 Speaker 2: out there and it's like this is a delicacy I 1090 00:59:24,880 --> 00:59:27,840 Speaker 2: have once in a chance lifetime at least you eat it. 1091 00:59:27,920 --> 00:59:31,200 Speaker 2: Making a consent choice as an adult, but like, don't 1092 00:59:31,240 --> 00:59:34,320 Speaker 2: feed it to little kids. That's because not only do 1093 00:59:34,400 --> 00:59:36,520 Speaker 2: they not have a choice and they don't understand it. 1094 00:59:37,080 --> 00:59:40,040 Speaker 2: Plus it probably tastes nasty as hell. But like, I 1095 00:59:40,840 --> 00:59:43,760 Speaker 2: am not interested in trying turtle at all. I just 1096 00:59:43,760 --> 00:59:48,080 Speaker 2: feel like it would be so slimy and disgusting, not 1097 00:59:48,080 --> 00:59:51,680 Speaker 2: not slimy, just like I don't know, I just think 1098 00:59:51,720 --> 00:59:56,200 Speaker 2: it would be like I I've never had any anything 1099 00:59:56,360 --> 00:59:59,919 Speaker 2: like that though, any kind of like reptile or amphibian meat, 1100 01:00:00,040 --> 01:00:04,280 Speaker 2: but it just it would be like more like like meat, 1101 01:00:04,360 --> 01:00:06,960 Speaker 2: like pork meat, but fishy, Like I don't know, I 1102 01:00:07,000 --> 01:00:09,360 Speaker 2: just feel like it just has this weird like I 1103 01:00:09,360 --> 01:00:12,360 Speaker 2: have roast cross turtles give me out so bad. I 1104 01:00:12,360 --> 01:00:14,600 Speaker 2: feel like when people have them in their houses, they 1105 01:00:14,720 --> 01:00:17,720 Speaker 2: just they stink like them better what people do. They 1106 01:00:17,800 --> 01:00:21,000 Speaker 2: just have this weird odor. I can't explain it, and 1107 01:00:21,160 --> 01:00:23,680 Speaker 2: just the thought of eating them is so disgusting to me. 1108 01:00:24,520 --> 01:00:27,680 Speaker 2: It's a delicacy though, But they're saying this so this 1109 01:00:27,720 --> 01:00:31,000 Speaker 2: isn't an isolated event, like there's no dangers behind eating this. 1110 01:00:31,080 --> 01:00:33,880 Speaker 2: And in November of twenty twenty one, seven people had 1111 01:00:33,920 --> 01:00:37,400 Speaker 2: died after on the same island after eating turtle meat, 1112 01:00:37,440 --> 01:00:40,560 Speaker 2: and three others were hospitalized as well. So I think 1113 01:00:40,640 --> 01:00:42,640 Speaker 2: the key are they not getting the memo or like 1114 01:00:42,680 --> 01:00:45,320 Speaker 2: what's happening there? So they're saying this and officials there 1115 01:00:45,360 --> 01:00:47,520 Speaker 2: to beg people to stop eating it, but it's like 1116 01:00:47,560 --> 01:00:52,040 Speaker 2: who is surfing it? I don't know. They're probably taking 1117 01:00:52,080 --> 01:00:54,320 Speaker 2: it out of the water themselves and killing it and 1118 01:00:54,320 --> 01:00:56,360 Speaker 2: eating it. It's not like I would say, it's not 1119 01:00:56,440 --> 01:01:00,880 Speaker 2: at a restaurant. Yeah, so this I mean, don't eat it, 1120 01:01:01,000 --> 01:01:07,000 Speaker 2: just don't eat ther So okay. Next we have people 1121 01:01:07,040 --> 01:01:10,360 Speaker 2: are getting plastic surgery to copy filtered images of themselves 1122 01:01:10,360 --> 01:01:13,960 Speaker 2: on social media. A new study claim I would say 1123 01:01:14,000 --> 01:01:17,080 Speaker 2: this is really an out shocking information for me. I 1124 01:01:17,120 --> 01:01:21,280 Speaker 2: actually find that people that get a lot of plastic 1125 01:01:21,320 --> 01:01:25,800 Speaker 2: surgery end up using these filters even more. And I 1126 01:01:25,840 --> 01:01:27,840 Speaker 2: don't know, I just feel like it feeds into this 1127 01:01:27,880 --> 01:01:34,040 Speaker 2: whole body dysmorphia thing. Yeah I don't. I have a 1128 01:01:34,120 --> 01:01:37,440 Speaker 2: rule that I don't use filters because I just want 1129 01:01:37,480 --> 01:01:40,160 Speaker 2: every single person that ever meets me in real life 1130 01:01:40,160 --> 01:01:42,320 Speaker 2: to be like, oh, you look exactly the same. It's 1131 01:01:42,360 --> 01:01:46,040 Speaker 2: just as you do right now, and well do you 1132 01:01:46,080 --> 01:01:48,480 Speaker 2: remember that time that you did you were just like 1133 01:01:48,600 --> 01:01:50,720 Speaker 2: messing around with that wand and it made you look 1134 01:01:50,800 --> 01:01:52,840 Speaker 2: like a completely different person. And you send it to 1135 01:01:52,920 --> 01:01:55,000 Speaker 2: mo mom and then she was like, oh, you look great, 1136 01:01:55,160 --> 01:01:57,760 Speaker 2: and You're like thanks, That's actually not what I look 1137 01:01:57,880 --> 01:02:00,520 Speaker 2: like at all. When I was on my bat trip, 1138 01:02:00,600 --> 01:02:03,040 Speaker 2: me and my friends were using face tune, but I 1139 01:02:03,200 --> 01:02:06,680 Speaker 2: was doing it on all of the like the highest 1140 01:02:06,760 --> 01:02:10,120 Speaker 2: possible filters you could do to like we were peeing 1141 01:02:10,160 --> 01:02:12,320 Speaker 2: our pants, laughing in bed. Like. We went to the 1142 01:02:12,360 --> 01:02:16,920 Speaker 2: Wax Museum in Nashville and I took a picture with 1143 01:02:16,960 --> 01:02:20,320 Speaker 2: like the Timothy McGraw wax figure, and I facetuned the 1144 01:02:20,320 --> 01:02:23,360 Speaker 2: wax figure and myself and I was like, this looks 1145 01:02:23,400 --> 01:02:26,840 Speaker 2: like a Midwestern couple that sneaks cigarettes in their minivan 1146 01:02:26,880 --> 01:02:30,160 Speaker 2: while they're kids. They're soccer like. I was doing the 1147 01:02:30,200 --> 01:02:32,720 Speaker 2: most extreme filters, but I set one to Mama and 1148 01:02:32,840 --> 01:02:35,640 Speaker 2: she was like gorgeous, and I'm like, holy shit, I 1149 01:02:35,680 --> 01:02:39,960 Speaker 2: look nothing like yeah. You're like you're like thanks, yeah, 1150 01:02:40,000 --> 01:02:44,160 Speaker 2: thanks for encouraging this. But this was the published This 1151 01:02:44,280 --> 01:02:47,080 Speaker 2: was published in the Journal of Clinical and Aesthetic Dermatology, 1152 01:02:47,560 --> 01:02:50,560 Speaker 2: and it's it's really cool, like all the different things 1153 01:02:50,600 --> 01:02:53,400 Speaker 2: that they studied, so they looked at people that were 1154 01:02:53,440 --> 01:02:56,320 Speaker 2: looking it was mostly for Snapchat and Instagram, and they 1155 01:02:56,320 --> 01:02:59,560 Speaker 2: were looking at like people that followed influencers that talked 1156 01:02:59,560 --> 01:03:04,040 Speaker 2: about plastic surgery, We're more likely to get these procedures done. 1157 01:03:04,080 --> 01:03:07,600 Speaker 2: And it's just the more hours they were spending on 1158 01:03:07,640 --> 01:03:09,560 Speaker 2: it every week, and there was just like a lot 1159 01:03:09,560 --> 01:03:11,480 Speaker 2: of different things that they were using. And then they 1160 01:03:11,480 --> 01:03:14,480 Speaker 2: were saying that people using filters like face tune and 1161 01:03:14,480 --> 01:03:17,280 Speaker 2: stuff all the time, and you see it, like sometimes 1162 01:03:17,320 --> 01:03:20,840 Speaker 2: I see people like Chris Jenner is a perfect example. 1163 01:03:20,920 --> 01:03:24,600 Speaker 2: Sometimes she does these filters on her face and I'm like, 1164 01:03:24,760 --> 01:03:28,760 Speaker 2: are you really trying to let people like think that 1165 01:03:28,760 --> 01:03:31,560 Speaker 2: that you look anything like that? That It's it's so 1166 01:03:31,800 --> 01:03:36,040 Speaker 2: disturbing how distorted people's minds are. I've seen it with Madonna. Well, 1167 01:03:36,200 --> 01:03:39,160 Speaker 2: you don't even follow housewives because they're the number one 1168 01:03:39,320 --> 01:03:42,880 Speaker 2: offenders of this and many of them have excessive plastic 1169 01:03:42,920 --> 01:03:45,840 Speaker 2: surgery and on top of that are face tuning to 1170 01:03:45,880 --> 01:03:49,640 Speaker 2: the maximum, Teresa Guiadas being one of the main offenders 1171 01:03:49,640 --> 01:03:52,400 Speaker 2: of this. But I just I really think I think 1172 01:03:52,440 --> 01:03:56,360 Speaker 2: it's disturbing because when you when you're showing me a 1173 01:03:56,400 --> 01:04:00,000 Speaker 2: picture of yourself, you want me to believe that that's 1174 01:04:00,360 --> 01:04:03,320 Speaker 2: that that's you, And that's right, right, it's it's it's 1175 01:04:03,360 --> 01:04:07,320 Speaker 2: so fraud and but who is believing that? Well, actually 1176 01:04:07,400 --> 01:04:09,840 Speaker 2: this can go with the Kate Middleton pictures, right, It's 1177 01:04:09,880 --> 01:04:13,080 Speaker 2: like we're not believing what you're telling us here right now, right, 1178 01:04:13,120 --> 01:04:17,640 Speaker 2: It's like, well, that's even her. This the scandal happening 1179 01:04:17,720 --> 01:04:21,080 Speaker 2: with Kate is even less obvious. You know, like there 1180 01:04:21,680 --> 01:04:24,280 Speaker 2: that that picture, the family picture they released of her 1181 01:04:24,480 --> 01:04:29,560 Speaker 2: to a trained photo editor, you know, like screams Ai, right, 1182 01:04:29,680 --> 01:04:32,200 Speaker 2: Like it's not even photoshop. It just screams like they 1183 01:04:32,320 --> 01:04:35,760 Speaker 2: uploaded a picture of each of them and it generated 1184 01:04:35,800 --> 01:04:38,920 Speaker 2: this picture just based on little things. And you and 1185 01:04:39,000 --> 01:04:43,320 Speaker 2: I were even talking about the other day how Kim 1186 01:04:43,400 --> 01:04:47,120 Speaker 2: Kardashian was photographed at the Vanity Fair Oscars party and 1187 01:04:47,240 --> 01:04:50,120 Speaker 2: you noticed in one picture that a publication posted of 1188 01:04:50,160 --> 01:04:54,560 Speaker 2: her that her skin looked badly. And I noticed yesterday 1189 01:04:54,640 --> 01:04:59,480 Speaker 2: that she posted a picture advertising her skincare line of 1190 01:04:59,560 --> 01:05:01,920 Speaker 2: a close shot of her face, and when I zoom in, 1191 01:05:02,040 --> 01:05:05,320 Speaker 2: I can see like where the pixels have been altered. Right, 1192 01:05:05,400 --> 01:05:08,640 Speaker 2: But I am also but that's cool, But I'm like, 1193 01:05:08,680 --> 01:05:11,360 Speaker 2: you're trying people to buy your stuff, and it's just like, 1194 01:05:11,560 --> 01:05:13,760 Speaker 2: and your skin don't really look like that. That's kind 1195 01:05:13,760 --> 01:05:15,960 Speaker 2: of gross. You can look at if you look at 1196 01:05:16,560 --> 01:05:18,800 Speaker 2: like I'm saying, like, if you look at her real skin, 1197 01:05:19,040 --> 01:05:22,200 Speaker 2: she's like my age. I'm not going to be like like, 1198 01:05:22,320 --> 01:05:24,200 Speaker 2: oh God, I want my skin to look like yours. 1199 01:05:24,240 --> 01:05:26,200 Speaker 2: Let me buy your stuff, because certainly I would not. 1200 01:05:26,760 --> 01:05:30,680 Speaker 2: If you looked at that picture, you probably wouldn't be 1201 01:05:30,760 --> 01:05:33,640 Speaker 2: able to tell that it was photoshop. But because I'm 1202 01:05:33,640 --> 01:05:37,960 Speaker 2: a trained photo editor, I know what the differences look 1203 01:05:38,040 --> 01:05:40,760 Speaker 2: like with me saying that her editors do a really 1204 01:05:40,800 --> 01:05:43,520 Speaker 2: good job, but I could just see where the changes 1205 01:05:43,560 --> 01:05:46,200 Speaker 2: have been made on her skin based on how certain 1206 01:05:46,320 --> 01:05:49,960 Speaker 2: tones shift and everything like that. So you know, I 1207 01:05:49,960 --> 01:05:54,280 Speaker 2: think that the biggest example of this study is think 1208 01:05:54,320 --> 01:05:57,720 Speaker 2: of think of Darcy and Stacy from ninety Day Fiance, Right, 1209 01:05:57,720 --> 01:05:59,720 Speaker 2: they're these they are these twin sisters that were on 1210 01:05:59,760 --> 01:06:03,000 Speaker 2: the show. Know they are somebody that we're using excessive 1211 01:06:03,200 --> 01:06:07,439 Speaker 2: face tuning, like straight up looked like anime characters. Yeah, 1212 01:06:07,440 --> 01:06:09,720 Speaker 2: and you're like, what are they doing? And they're beautiful 1213 01:06:09,760 --> 01:06:12,280 Speaker 2: women and then they go and they get all this 1214 01:06:12,400 --> 01:06:15,680 Speaker 2: surgery done, they look absolutely horrible, and then they use 1215 01:06:15,720 --> 01:06:18,720 Speaker 2: the filters on top of now having spent thousands and 1216 01:06:18,760 --> 01:06:21,439 Speaker 2: thousands of dollars on this plasto surgery, and if that's 1217 01:06:21,440 --> 01:06:23,560 Speaker 2: what they want to look like, go for it. But 1218 01:06:23,720 --> 01:06:28,280 Speaker 2: like I think it's just feeding into this whole body 1219 01:06:28,320 --> 01:06:33,680 Speaker 2: miss you know what I'm talking about, Like this, Yeah, 1220 01:06:33,760 --> 01:06:35,400 Speaker 2: I don't know. It's at the end of the day, 1221 01:06:35,480 --> 01:06:37,200 Speaker 2: like people can do whatever they want to look like 1222 01:06:37,200 --> 01:06:39,960 Speaker 2: how they want. But you know, some of these people 1223 01:06:39,960 --> 01:06:42,520 Speaker 2: are posting images on Instagram and I think they think 1224 01:06:42,560 --> 01:06:45,320 Speaker 2: this like cartoon character version of themselves is what they 1225 01:06:46,080 --> 01:06:48,160 Speaker 2: really look like, and then they get mad at other 1226 01:06:48,200 --> 01:06:51,000 Speaker 2: people for posting like unedited photos of them and it's 1227 01:06:51,080 --> 01:06:54,680 Speaker 2: just it's just kind of nuts, which is not which 1228 01:06:54,720 --> 01:06:57,520 Speaker 2: is just not possible, especially when there's paparazzi and stuff, 1229 01:06:57,520 --> 01:06:59,520 Speaker 2: Like they take pictures of you. They're not going to 1230 01:06:59,560 --> 01:07:02,439 Speaker 2: sit there and tune it for hours. It's just I 1231 01:07:02,480 --> 01:07:06,320 Speaker 2: And this goes on because the kids always say they 1232 01:07:06,360 --> 01:07:08,720 Speaker 2: want to get the snapchat just so they can do 1233 01:07:08,760 --> 01:07:11,480 Speaker 2: the videos and stuff, and I'm like, absolutely not, because 1234 01:07:11,520 --> 01:07:14,840 Speaker 2: you don't need to be looking at yourself like as 1235 01:07:14,880 --> 01:07:16,920 Speaker 2: a different person, or what you would look like as 1236 01:07:16,960 --> 01:07:18,520 Speaker 2: a boy, or what you would look like as a 1237 01:07:18,560 --> 01:07:21,480 Speaker 2: grown woman or all these things. It's just it's not 1238 01:07:21,640 --> 01:07:24,840 Speaker 2: good for your mental thing to take out your zits 1239 01:07:24,880 --> 01:07:26,919 Speaker 2: and make your skin look perfect and make your eyes 1240 01:07:26,960 --> 01:07:29,320 Speaker 2: look bigger and all these things. It's just not good, 1241 01:07:29,480 --> 01:07:32,640 Speaker 2: especially for little girls growing up to be looking at 1242 01:07:32,640 --> 01:07:35,720 Speaker 2: that kind of stuff, don't you agree? Yeah, totally. And 1243 01:07:35,760 --> 01:07:38,000 Speaker 2: you know, like when I was in photo school and 1244 01:07:38,080 --> 01:07:41,240 Speaker 2: learning how to do that type of editing, I you know, 1245 01:07:41,320 --> 01:07:43,200 Speaker 2: did it on pictures of myself. I'm not gonna do 1246 01:07:43,200 --> 01:07:44,920 Speaker 2: it on a picture of stranger that's like kind of 1247 01:07:44,960 --> 01:07:47,040 Speaker 2: fucked up. So like I would take a picture of 1248 01:07:47,040 --> 01:07:49,240 Speaker 2: myself and just be like, how far can I go 1249 01:07:49,360 --> 01:07:51,560 Speaker 2: with this and make it look as natural as possible? 1250 01:07:52,000 --> 01:07:54,720 Speaker 2: And it's really hard to do it naturally. Again, Like 1251 01:07:54,800 --> 01:07:56,840 Speaker 2: I want to stress that if people want to do 1252 01:07:56,880 --> 01:07:59,080 Speaker 2: this because they it makes them feel good about themselves, 1253 01:07:59,200 --> 01:08:00,960 Speaker 2: let them do it. But I think in the case 1254 01:08:01,000 --> 01:08:03,680 Speaker 2: of what we were talking about with Kim Kardashian, I mean, 1255 01:08:04,280 --> 01:08:06,560 Speaker 2: I like, I like her as a person. We do 1256 01:08:06,600 --> 01:08:09,080 Speaker 2: talk shit on her sometimes. I'm not like a hater 1257 01:08:09,160 --> 01:08:12,040 Speaker 2: of her. I respect her as a business person, But 1258 01:08:12,280 --> 01:08:14,160 Speaker 2: I think we all need to have some level of 1259 01:08:14,200 --> 01:08:17,400 Speaker 2: knowledge that she's certainly not using her own skincare products, 1260 01:08:17,439 --> 01:08:20,320 Speaker 2: and it's kind of fucked up to then doctor your 1261 01:08:20,360 --> 01:08:23,160 Speaker 2: face to make it look like your skincare is making 1262 01:08:23,200 --> 01:08:25,760 Speaker 2: your skin look flawless when we know her skin is 1263 01:08:25,800 --> 01:08:28,760 Speaker 2: not that flawless. Wasn't there some kind this is what 1264 01:08:28,800 --> 01:08:31,640 Speaker 2: I'm asking is as far as like far false advertisement, 1265 01:08:31,760 --> 01:08:34,519 Speaker 2: Like wasn't there some kind of thing with Taco Bell 1266 01:08:34,600 --> 01:08:37,280 Speaker 2: recently that they weren't putting like as much meat as 1267 01:08:37,320 --> 01:08:41,120 Speaker 2: they advertised in their taco Or you've seen like Reces 1268 01:08:41,280 --> 01:08:44,400 Speaker 2: is not putting as much and it's false advertisement. It's 1269 01:08:44,439 --> 01:08:46,960 Speaker 2: not real cheese or whatever Mac and che is all 1270 01:08:46,960 --> 01:08:50,000 Speaker 2: these things. So can't the state same be said about 1271 01:08:50,040 --> 01:08:53,200 Speaker 2: like you're selling this skincare and saying that it makes 1272 01:08:53,240 --> 01:08:55,600 Speaker 2: your skin look a certain way, which you're which it 1273 01:08:55,680 --> 01:08:58,760 Speaker 2: does not Like that that photo is not what your 1274 01:08:58,760 --> 01:09:02,400 Speaker 2: skin looks like. You're edited it. It's false advertisement to 1275 01:09:02,479 --> 01:09:05,960 Speaker 2: me personally, Yeah, it really is. And you know, like 1276 01:09:05,960 --> 01:09:08,800 Speaker 2: like if I was ever approached about having a skincare line, 1277 01:09:08,840 --> 01:09:11,439 Speaker 2: like my skin looks like shit in person, but your 1278 01:09:11,479 --> 01:09:15,400 Speaker 2: skin looks very nice up close in person, Like even 1279 01:09:15,439 --> 01:09:17,680 Speaker 2: I would even buy skincare from bricky skin. I mean, 1280 01:09:17,720 --> 01:09:20,680 Speaker 2: he skin doesn't look like shit in person. Please, like, 1281 01:09:21,160 --> 01:09:23,400 Speaker 2: don't be dramatic. I know, I'm just saying, there's no 1282 01:09:23,479 --> 01:09:25,400 Speaker 2: way that you look like this right now and it 1283 01:09:25,439 --> 01:09:28,200 Speaker 2: looks like shit in person. Yeah, But what I'm getting 1284 01:09:28,240 --> 01:09:30,519 Speaker 2: at is like when I think of somebody that has 1285 01:09:30,640 --> 01:09:34,040 Speaker 2: flawless skincare, I think of like like if you see pictures, 1286 01:09:34,400 --> 01:09:36,960 Speaker 2: or not even pictures, if you watch videos, because that's 1287 01:09:37,000 --> 01:09:39,840 Speaker 2: way harder to edit skin. Right, if you watch a 1288 01:09:39,920 --> 01:09:42,200 Speaker 2: video of j Loo, for example, her skin looks very 1289 01:09:42,280 --> 01:09:46,000 Speaker 2: nice up close without anything on, but then she's going 1290 01:09:46,000 --> 01:09:47,960 Speaker 2: through this bullshit of like, oh, I put is allive 1291 01:09:47,960 --> 01:09:50,720 Speaker 2: oil on my face? Like nobody believes you. But what 1292 01:09:50,720 --> 01:09:52,960 Speaker 2: I'm getting at is like if she was, it's so 1293 01:09:53,160 --> 01:09:57,000 Speaker 2: annoyed by that you're like, okay, oh really, Like that's 1294 01:09:57,080 --> 01:10:00,320 Speaker 2: just bullshits. People are using like hundreds of dollars of 1295 01:10:00,360 --> 01:10:04,280 Speaker 2: lotions and creams and well usual and facials. Like it's 1296 01:10:04,320 --> 01:10:07,320 Speaker 2: possible that she just puts olive oil on her face, 1297 01:10:07,680 --> 01:10:11,360 Speaker 2: because you know what I mean, that's possible, but she 1298 01:10:11,520 --> 01:10:15,600 Speaker 2: also had a face lift, Like right, that's it's not 1299 01:10:15,760 --> 01:10:18,639 Speaker 2: like I just look like this. You have to listen 1300 01:10:18,680 --> 01:10:22,599 Speaker 2: to how they were things. Because it is possible because 1301 01:10:23,080 --> 01:10:25,400 Speaker 2: I could even say that like my grandmom and stuff 1302 01:10:25,400 --> 01:10:27,800 Speaker 2: like the texture or her skin, like she never had 1303 01:10:28,560 --> 01:10:30,679 Speaker 2: when she was eighty years old, she started getting wrinkles 1304 01:10:30,680 --> 01:10:33,799 Speaker 2: and stuff, but her skin especially like where it was smooth. 1305 01:10:33,960 --> 01:10:36,080 Speaker 2: It like you couldn't see a poor on her skin. 1306 01:10:36,560 --> 01:10:40,360 Speaker 2: So it it is possible. But like like if Nanny 1307 01:10:40,400 --> 01:10:43,360 Speaker 2: had a face lift every ten years, like her skin 1308 01:10:43,400 --> 01:10:46,280 Speaker 2: would have looked the texture would have looked nice with 1309 01:10:46,400 --> 01:10:49,000 Speaker 2: maybe just olive oil, Like that's possible. Yeah, And I 1310 01:10:49,160 --> 01:10:51,160 Speaker 2: you know, I look at Ricky's face all the time 1311 01:10:51,200 --> 01:10:53,719 Speaker 2: and I'm like, if you for not having any pores, 1312 01:10:54,439 --> 01:10:57,920 Speaker 2: I'm so justus his perfect skin. I tell him every 1313 01:10:57,960 --> 01:11:00,760 Speaker 2: single day because it's he just has like beautiful skin. 1314 01:11:00,880 --> 01:11:02,760 Speaker 2: I mean, you probably aren't looking at his face for 1315 01:11:02,800 --> 01:11:05,720 Speaker 2: that long, but like I'm not, I don't stare at 1316 01:11:05,720 --> 01:11:09,599 Speaker 2: his poor Sorry, he has prayer, right, So getting onto 1317 01:11:09,680 --> 01:11:15,679 Speaker 2: like talking about something like trashy skin looking stuff. Self tanning, 1318 01:11:15,840 --> 01:11:19,280 Speaker 2: nosing spray exists apparently, and I'm kind of I've always 1319 01:11:19,320 --> 01:11:22,519 Speaker 2: been like in they're always trying to come up with 1320 01:11:22,720 --> 01:11:25,280 Speaker 2: safe ways to tan your skin, and I'm trying to 1321 01:11:25,280 --> 01:11:27,120 Speaker 2: come up with a way to say, like, your skin 1322 01:11:27,160 --> 01:11:31,639 Speaker 2: looks really nice, really pal, But I don't think people 1323 01:11:31,680 --> 01:11:35,120 Speaker 2: are gonna follow what I say instead of Kardashian or whatever. 1324 01:11:35,200 --> 01:11:39,280 Speaker 2: But I think this is called the Barbie drug and 1325 01:11:39,479 --> 01:11:41,920 Speaker 2: it's illegal, so let's get started with that. But it's 1326 01:11:41,920 --> 01:11:44,719 Speaker 2: some kind of it's a nasal spray. You said nosing spray, 1327 01:11:44,760 --> 01:11:48,720 Speaker 2: which is did oh my god, sorry because I meant 1328 01:11:48,760 --> 01:11:50,559 Speaker 2: nose spray and naisl spray at the same time, So 1329 01:11:50,840 --> 01:11:56,639 Speaker 2: a nozle spray. Anyway, Yeah, so it's it's illegal, though, 1330 01:11:56,680 --> 01:11:59,559 Speaker 2: so let's let's state that. So this this woman took it, 1331 01:11:59,600 --> 01:12:01,679 Speaker 2: and what it does is, well, it's kind of cool. 1332 01:12:01,680 --> 01:12:04,280 Speaker 2: When they were coming up with the technology for this drug, 1333 01:12:04,840 --> 01:12:08,880 Speaker 2: they found out for in early research for whatever, the 1334 01:12:09,000 --> 01:12:11,760 Speaker 2: researcher decided to inject two times the amount of this 1335 01:12:11,840 --> 01:12:15,120 Speaker 2: drug into his body and when he did, it caused 1336 01:12:15,160 --> 01:12:18,120 Speaker 2: him to have a long term erection for at least 1337 01:12:18,200 --> 01:12:21,000 Speaker 2: eight hours. So they were like, oh, this is some 1338 01:12:21,479 --> 01:12:24,200 Speaker 2: miracle drugs. So then it was originally marketed as like 1339 01:12:24,280 --> 01:12:29,080 Speaker 2: sexual dysfunction and rectile dysfunction drug, but the side effects 1340 01:12:29,160 --> 01:12:32,479 Speaker 2: are terrible, they well they and it also has been 1341 01:12:32,520 --> 01:12:36,160 Speaker 2: found that it causes your skin to have like irregular 1342 01:12:36,240 --> 01:12:40,439 Speaker 2: pigmentation which makes it look tan. But there's so many 1343 01:12:40,479 --> 01:12:43,240 Speaker 2: negative side effects to this and it could it could 1344 01:12:43,320 --> 01:12:48,320 Speaker 2: hurt cardiovascular health. It causes nausea, vomiting, and to the 1345 01:12:48,360 --> 01:12:52,240 Speaker 2: point where they they don't want people to take it. 1346 01:12:52,280 --> 01:12:55,000 Speaker 2: That's why it's illegal. But this lady bought it illegally 1347 01:12:55,760 --> 01:12:59,080 Speaker 2: and she looks real neat. You need to see a 1348 01:12:59,120 --> 01:13:02,080 Speaker 2: picture of her in just before she took the medication. 1349 01:13:02,240 --> 01:13:06,000 Speaker 2: She's she obviously has some dysmorphia stuff going on and 1350 01:13:06,439 --> 01:13:11,760 Speaker 2: took this and had a horrible like reaction to it, swelling, hospitalization. 1351 01:13:12,280 --> 01:13:15,759 Speaker 2: So I don't even think this is dysmorphia in this case. 1352 01:13:15,840 --> 01:13:18,160 Speaker 2: I think a lot of people when they go on 1353 01:13:18,280 --> 01:13:22,879 Speaker 2: vacation want to be tan before they get to their vacation. 1354 01:13:23,439 --> 01:13:27,920 Speaker 2: So she seemingly her stepdaughter suggested she take this drug 1355 01:13:27,960 --> 01:13:30,720 Speaker 2: and she bought it online. There's no ingredients listed on 1356 01:13:30,760 --> 01:13:33,200 Speaker 2: the bottle. The picture of the bottle literally looked like 1357 01:13:33,240 --> 01:13:35,120 Speaker 2: a lotion you would buy from like a mom at 1358 01:13:35,160 --> 01:13:37,920 Speaker 2: a farmer's market. Yeah, it did. So there's like no 1359 01:13:38,000 --> 01:13:41,040 Speaker 2: information about this at all. So I think it's actually 1360 01:13:41,040 --> 01:13:43,839 Speaker 2: really common that people get spray tan's or go tanning 1361 01:13:43,920 --> 01:13:46,479 Speaker 2: before they go on vacation to get some sort of base, 1362 01:13:46,640 --> 01:13:49,200 Speaker 2: or they just want to look like hot. I thought 1363 01:13:49,200 --> 01:13:52,600 Speaker 2: the point I thought the point of the base was 1364 01:13:52,680 --> 01:13:55,920 Speaker 2: so when you went on the vacation, you didn't burn 1365 01:13:55,960 --> 01:13:58,400 Speaker 2: because it was your first exposure to sun. So if 1366 01:13:58,439 --> 01:14:01,759 Speaker 2: you had a tan that was caused by a drug 1367 01:14:01,800 --> 01:14:03,920 Speaker 2: that you were taking internally or that you sprayed on 1368 01:14:03,920 --> 01:14:07,680 Speaker 2: your skin, that's not protecting you from future layers that 1369 01:14:07,760 --> 01:14:09,920 Speaker 2: you may acquire on vacation. It can be, but I 1370 01:14:09,960 --> 01:14:12,679 Speaker 2: also think it's an aesthetic thing, Like people just want 1371 01:14:12,720 --> 01:14:15,920 Speaker 2: to look tan on vacation. But she looks like she 1372 01:14:15,920 --> 01:14:21,320 Speaker 2: she dipped herself in like in ink that I don't know. 1373 01:14:21,360 --> 01:14:23,799 Speaker 2: There's a there's a glow and then there's like okay, 1374 01:14:23,880 --> 01:14:27,799 Speaker 2: you've if you would talk about in it foundation terms, 1375 01:14:27,840 --> 01:14:30,800 Speaker 2: like she's she's five shades darker than she normally is. 1376 01:14:30,840 --> 01:14:33,320 Speaker 2: Like it's just I don't know. Yeah, So I think 1377 01:14:33,360 --> 01:14:35,479 Speaker 2: that's kind of a dysmorphia thing, to be honest with 1378 01:14:35,520 --> 01:14:38,200 Speaker 2: you whatever. I mean, people like being tan, Like I 1379 01:14:38,200 --> 01:14:41,720 Speaker 2: I personally like, I think I look nice when I'm tan, 1380 01:14:41,880 --> 01:14:44,000 Speaker 2: but I'm lazy and I'm never gonna get a spray tan, 1381 01:14:44,160 --> 01:14:46,000 Speaker 2: like that's just what it is. Like I think. I 1382 01:14:46,000 --> 01:14:48,479 Speaker 2: think when I've tan naturally, I've looked very nice and 1383 01:14:48,560 --> 01:14:50,679 Speaker 2: I like how it looks. But right now I'm white 1384 01:14:50,680 --> 01:14:52,680 Speaker 2: as a ghost. You could tell. Like every week we 1385 01:14:52,760 --> 01:14:55,080 Speaker 2: have an issue with the webcams because both of us 1386 01:14:55,320 --> 01:14:58,839 Speaker 2: totally white it out. I So this is actually funny 1387 01:14:59,280 --> 01:15:01,800 Speaker 2: because if you you talk about seeing me in real 1388 01:15:01,840 --> 01:15:03,880 Speaker 2: life right if you saw me in real life right now, 1389 01:15:04,200 --> 01:15:07,360 Speaker 2: look like I look like an umpa lupa orange person 1390 01:15:07,439 --> 01:15:09,400 Speaker 2: like the kids. And my husband's always like, you look 1391 01:15:09,600 --> 01:15:11,400 Speaker 2: you remind me of my mom. You have this like 1392 01:15:11,520 --> 01:15:14,719 Speaker 2: orange line of foundation around your chin, and I'm like, yeah, 1393 01:15:14,760 --> 01:15:17,240 Speaker 2: when I wear my normal makeup color. The first time 1394 01:15:17,280 --> 01:15:20,000 Speaker 2: we tried to record, we went to mac later that 1395 01:15:20,120 --> 01:15:22,960 Speaker 2: day and we're like, help us because I'm too white, 1396 01:15:23,000 --> 01:15:25,880 Speaker 2: like I need to and she told me what together, 1397 01:15:26,040 --> 01:15:28,920 Speaker 2: but you have to wear a darker shaded foundation because literally, 1398 01:15:29,000 --> 01:15:31,759 Speaker 2: if you don't, the camera does not pick up your face, 1399 01:15:31,840 --> 01:15:34,400 Speaker 2: which is so insane to it is, it's insane. But 1400 01:15:34,520 --> 01:15:37,479 Speaker 2: like when I'm done recording and stuff, I always go 1401 01:15:37,640 --> 01:15:39,640 Speaker 2: and wash my face off because I can't really be 1402 01:15:39,680 --> 01:15:42,360 Speaker 2: seen in public with this color Anyway, this lady took 1403 01:15:42,400 --> 01:15:46,640 Speaker 2: this nasal spray and was liking the results immediately, but 1404 01:15:46,680 --> 01:15:49,519 Speaker 2: then twenty four hours later she had a severe allergic reaction. 1405 01:15:49,640 --> 01:15:52,479 Speaker 2: She couldn't breathe. You know, the ingredients are on the bottle. 1406 01:15:52,520 --> 01:15:54,040 Speaker 2: She has no idea what she took. She had to 1407 01:15:54,040 --> 01:15:58,560 Speaker 2: go to the hospital. They had to give her steroids, 1408 01:15:58,600 --> 01:16:01,640 Speaker 2: you know it. Now she's warning others not to use it, 1409 01:16:01,680 --> 01:16:04,280 Speaker 2: which like, I'm sorry, but if I heard like, this 1410 01:16:04,400 --> 01:16:06,680 Speaker 2: nasal spray makes you tan, like I would think that 1411 01:16:06,800 --> 01:16:09,839 Speaker 2: was pretty suspicious and it's illegal. Yeah, it's illegal. 1412 01:16:10,520 --> 01:16:10,720 Speaker 3: You know. 1413 01:16:11,400 --> 01:16:14,640 Speaker 2: You just have to use your brains sometimes. So I 1414 01:16:14,680 --> 01:16:16,920 Speaker 2: don't know, I could have told you this was gonna 1415 01:16:16,920 --> 01:16:21,519 Speaker 2: happen without knowing it all right. Next, embryos created with 1416 01:16:21,640 --> 01:16:25,200 Speaker 2: genes of two men, So this new technology might soon 1417 01:16:25,240 --> 01:16:28,480 Speaker 2: allow men in same sex relationships to have a child genetically. 1418 01:16:28,960 --> 01:16:31,960 Speaker 2: The technology uses skin cells from one person the alter 1419 01:16:32,080 --> 01:16:35,080 Speaker 2: genetics of a donated egg, and then that egg could 1420 01:16:35,080 --> 01:16:38,439 Speaker 2: be fertilized by a sperm cell to create viable embryo 1421 01:16:38,520 --> 01:16:42,920 Speaker 2: containing to combine genetics of the skin donor and sperm donor. 1422 01:16:43,439 --> 01:16:47,720 Speaker 2: So this could help a bunch of same sex couples have, 1423 01:16:48,040 --> 01:16:50,679 Speaker 2: you know, their own child. It's also saying it could help, 1424 01:16:50,800 --> 01:16:54,360 Speaker 2: you know, people struggling with infertility. It's the same technology 1425 01:16:54,400 --> 01:16:58,120 Speaker 2: they used to clone that sheep in the nineties named Dolly. 1426 01:16:59,040 --> 01:17:02,880 Speaker 2: So I don't know. As far as I read, I 1427 01:17:02,920 --> 01:17:06,200 Speaker 2: think it's only for male same sex, yeah, for right now, 1428 01:17:06,680 --> 01:17:09,040 Speaker 2: for right now, because it looks like it's something that 1429 01:17:09,080 --> 01:17:13,519 Speaker 2: they're doing with the egg. So I don't know. If 1430 01:17:13,520 --> 01:17:17,040 Speaker 2: they would be able to take skin cells from two 1431 01:17:17,080 --> 01:17:21,679 Speaker 2: females and put it on one egg, well, then yeah, 1432 01:17:21,720 --> 01:17:24,800 Speaker 2: they're saying this technology could eventually go on to help 1433 01:17:24,840 --> 01:17:29,040 Speaker 2: women who can't produce viable eggs or they're they don't 1434 01:17:29,040 --> 01:17:31,759 Speaker 2: have good eggs due to advance age or cancer treatment 1435 01:17:31,880 --> 01:17:34,400 Speaker 2: or other causes. So eventually, I think that's where they're 1436 01:17:34,439 --> 01:17:36,720 Speaker 2: hoping it will go. This certainly isn't going to be 1437 01:17:36,720 --> 01:17:40,280 Speaker 2: available for humans for a while, but they're really liking 1438 01:17:40,320 --> 01:17:44,000 Speaker 2: the improvement so far in the new technology. Yeah. I'm 1439 01:17:44,040 --> 01:17:47,360 Speaker 2: not a huge fan of messing with genetics like that, 1440 01:17:47,560 --> 01:17:49,599 Speaker 2: and like being able to pick the sex of your 1441 01:17:49,680 --> 01:17:52,160 Speaker 2: child and all that, and the eye color and this 1442 01:17:52,200 --> 01:17:54,320 Speaker 2: and that, So I don't know, Like I just I 1443 01:17:54,360 --> 01:17:59,599 Speaker 2: think that screwing with nature a little bit like this 1444 01:17:59,680 --> 01:18:01,519 Speaker 2: is I don't I don't know how I feel about it. 1445 01:18:01,560 --> 01:18:03,360 Speaker 2: I don't want to say I'm one hundred percent against it. 1446 01:18:03,640 --> 01:18:08,080 Speaker 2: There when they take the skin cells from from one 1447 01:18:08,120 --> 01:18:11,120 Speaker 2: mail and put it on a donated egg, then the 1448 01:18:11,240 --> 01:18:15,080 Speaker 2: child still isn't just their child. It still has a 1449 01:18:15,320 --> 01:18:17,840 Speaker 2: part of the other you know what I mean, Like, 1450 01:18:17,880 --> 01:18:22,200 Speaker 2: you're not making this egg be one hundred percent from 1451 01:18:22,280 --> 01:18:26,439 Speaker 2: the man who's donating DNA to it. It's just a 1452 01:18:26,479 --> 01:18:30,120 Speaker 2: portion of it. So yeah, yes, the child would have 1453 01:18:30,240 --> 01:18:32,760 Speaker 2: both of their genetics, but it also still has to 1454 01:18:32,800 --> 01:18:37,440 Speaker 2: have the other genetics. Would have three parents, yeah, exactly, 1455 01:18:37,520 --> 01:18:40,960 Speaker 2: And I don't know how that turns out. Like you 1456 01:18:40,960 --> 01:18:44,000 Speaker 2: know what, I just thought of something that we should 1457 01:18:44,080 --> 01:18:47,760 Speaker 2: interview about. We should find someone to interview about the 1458 01:18:47,920 --> 01:18:50,400 Speaker 2: twenty three and meters and the We really need to 1459 01:18:50,439 --> 01:18:53,160 Speaker 2: talk to someone about the DNA and how this works 1460 01:18:53,680 --> 01:18:57,040 Speaker 2: in situations like that, because like let's say, for example, 1461 01:18:57,200 --> 01:18:59,519 Speaker 2: a child born like this and then they have a 1462 01:18:59,600 --> 01:19:04,040 Speaker 2: DNA testing, they're going to come up with three different parents, 1463 01:19:04,040 --> 01:19:06,599 Speaker 2: and then how how do you even work with family 1464 01:19:06,640 --> 01:19:10,839 Speaker 2: trees and everything like that. I'm just not I'm interested 1465 01:19:10,880 --> 01:19:12,360 Speaker 2: in it. I want to talk about it. I don't 1466 01:19:12,360 --> 01:19:14,120 Speaker 2: want to say I'm one hundred percent against it, but 1467 01:19:14,840 --> 01:19:17,880 Speaker 2: I think that, you know, it's like I always refer 1468 01:19:17,960 --> 01:19:20,800 Speaker 2: back to the Jurassic Park movie and them saying, you know, 1469 01:19:20,960 --> 01:19:23,920 Speaker 2: just because you can doesn't mean that you should. And 1470 01:19:24,120 --> 01:19:26,360 Speaker 2: there's a lot of things and especially that could be 1471 01:19:26,400 --> 01:19:29,519 Speaker 2: said about AI, right, like, yes, you can do this, 1472 01:19:29,640 --> 01:19:32,599 Speaker 2: and it's it's probably great in some circumstances, but the 1473 01:19:32,640 --> 01:19:35,280 Speaker 2: horrible shit that could come from that might not be 1474 01:19:35,400 --> 01:19:38,080 Speaker 2: worth trying to figure out if you can actually do 1475 01:19:38,200 --> 01:19:42,280 Speaker 2: that technology. That's all I'm saying, all right. Next, there's 1476 01:19:42,320 --> 01:19:46,000 Speaker 2: a horrible weed smell in New York. So since cannabis 1477 01:19:46,040 --> 01:19:48,320 Speaker 2: was legalized in the city in twenty twenty one, the 1478 01:19:48,400 --> 01:19:51,680 Speaker 2: pungent odor has become increasingly common on the streets and 1479 01:19:51,720 --> 01:19:54,040 Speaker 2: people now want to move out of their houses because 1480 01:19:54,040 --> 01:19:56,920 Speaker 2: it's so bad. All right now, So you know what. 1481 01:19:57,040 --> 01:19:59,760 Speaker 2: I put this story in here specifically because we were 1482 01:19:59,760 --> 01:20:02,240 Speaker 2: at Elvis Durand show last week and Maria and I 1483 01:20:02,280 --> 01:20:04,640 Speaker 2: were walking around the city and were like, Jesus, it 1484 01:20:04,800 --> 01:20:07,360 Speaker 2: smells like you were like everywhere. The smell does not 1485 01:20:07,479 --> 01:20:09,680 Speaker 2: bother me nearly as much as you, I prefer it 1486 01:20:09,720 --> 01:20:11,920 Speaker 2: that's smelling cigarettes everywhere all the time. 1487 01:20:12,040 --> 01:20:12,360 Speaker 1: I don't. 1488 01:20:12,400 --> 01:20:15,400 Speaker 2: It doesn't bother me. I just yeah, it does bother me, 1489 01:20:15,479 --> 01:20:17,120 Speaker 2: Like I just don't. I don't want to leave bother 1490 01:20:17,479 --> 01:20:20,400 Speaker 2: It bothers me that every person is high all the time. 1491 01:20:20,479 --> 01:20:22,320 Speaker 2: That's what bothers me, Like it's in the middle of 1492 01:20:22,360 --> 01:20:24,880 Speaker 2: the day. There's no reason every single person needs to 1493 01:20:24,880 --> 01:20:27,680 Speaker 2: be high all around just to function every day. It's 1494 01:20:27,720 --> 01:20:30,519 Speaker 2: weird to me, Like people have been high every day 1495 01:20:30,520 --> 01:20:33,120 Speaker 2: in your presence. It's just more obvious because now they 1496 01:20:33,120 --> 01:20:37,040 Speaker 2: could smoke more like publicly than smoking behind a closed 1497 01:20:37,040 --> 01:20:39,720 Speaker 2: door and walking outside. It's just well, well, this is 1498 01:20:39,760 --> 01:20:42,160 Speaker 2: something that I didn't consider. Actually if you live in 1499 01:20:42,200 --> 01:20:44,519 Speaker 2: an apartment building, a small building, and it could go 1500 01:20:44,560 --> 01:20:47,920 Speaker 2: through the wall so easily. And people are complaining about 1501 01:20:48,360 --> 01:20:51,840 Speaker 2: like the secondhand smoke from from marijuana smoke, and it's 1502 01:20:51,920 --> 01:20:55,040 Speaker 2: it's a concern. Like according to lung dot org, they 1503 01:20:55,080 --> 01:20:58,519 Speaker 2: say that marijuana smoke secondhand is actually worse than tobacco 1504 01:20:58,640 --> 01:21:02,680 Speaker 2: smoke because just because something's natural and you're burning it, 1505 01:21:02,720 --> 01:21:05,880 Speaker 2: like when you burn anything, it changes the chemical composition 1506 01:21:05,920 --> 01:21:09,120 Speaker 2: of that and inhaling that could cause changes to the DNA, 1507 01:21:09,640 --> 01:21:12,760 Speaker 2: it could cause problems to the cardiovascular system, which is 1508 01:21:13,240 --> 01:21:16,920 Speaker 2: like a concern. And then if you have like if 1509 01:21:16,920 --> 01:21:19,559 Speaker 2: they're smelling it that strong in their apartment, they could 1510 01:21:19,560 --> 01:21:22,719 Speaker 2: actually test positive for THHD, which could be a problem 1511 01:21:22,760 --> 01:21:25,200 Speaker 2: if they're Like if that happened to Gab at work, 1512 01:21:25,240 --> 01:21:27,320 Speaker 2: he would he could lose his job over that. Like 1513 01:21:27,360 --> 01:21:30,559 Speaker 2: that's a concern for some people. Everyone in the world 1514 01:21:30,600 --> 01:21:32,760 Speaker 2: can't be high. You know, there are some jobs still 1515 01:21:32,760 --> 01:21:36,280 Speaker 2: where you're not allowed, Like you can't at this job. Yeah, right, 1516 01:21:36,560 --> 01:21:40,439 Speaker 2: you would even know, try it. It might make it, It 1517 01:21:40,520 --> 01:21:45,280 Speaker 2: might make it more interesting. Try to drug test me. Yes, yeah, 1518 01:21:45,320 --> 01:21:48,559 Speaker 2: I mean I understand the frustration. But it's like this 1519 01:21:48,600 --> 01:21:51,880 Speaker 2: is part of like, so this this story follows a 1520 01:21:51,920 --> 01:21:54,840 Speaker 2: woman that owns an apartment in New York and she's 1521 01:21:54,880 --> 01:21:57,439 Speaker 2: saying that it's coming in her house all the time, 1522 01:21:57,479 --> 01:21:59,400 Speaker 2: and she's smelling it and it's making her sick, and 1523 01:21:59,400 --> 01:22:03,680 Speaker 2: she's complaining to the landlord all the time, but they 1524 01:22:03,760 --> 01:22:07,160 Speaker 2: can't really do anything about it because everybody owns these apartments. 1525 01:22:07,400 --> 01:22:10,080 Speaker 2: And I think that's just part of you know, owning 1526 01:22:10,400 --> 01:22:13,439 Speaker 2: an apartment or a unit in a building with other people, 1527 01:22:13,880 --> 01:22:17,680 Speaker 2: you know, it's there's stories of people living next door 1528 01:22:17,720 --> 01:22:20,760 Speaker 2: to people that cook food that smells absolutely disgusting, or 1529 01:22:21,000 --> 01:22:23,679 Speaker 2: think of Jeffrey Dahmer's neighbors, like they weren't really having 1530 01:22:23,720 --> 01:22:27,880 Speaker 2: a good time. So it it doesn't really have in 1531 01:22:27,880 --> 01:22:29,839 Speaker 2: my mind, it really doesn't have to do with anything 1532 01:22:29,920 --> 01:22:34,040 Speaker 2: being legal or not. It's just you have shitty neighbors. Yeah, 1533 01:22:34,080 --> 01:22:36,760 Speaker 2: but once you say it's legal, that more people are 1534 01:22:36,760 --> 01:22:38,920 Speaker 2: inclined to just do it in the open and not. 1535 01:22:39,200 --> 01:22:43,639 Speaker 2: I mean, honestly, why wouldn't you even use a pen 1536 01:22:43,840 --> 01:22:46,719 Speaker 2: or something at that point, Like it's just it's safer 1537 01:22:46,760 --> 01:22:49,599 Speaker 2: probably to do a pen than to actually burn it 1538 01:22:49,640 --> 01:22:52,920 Speaker 2: and it doesn't smell, and it's just kind of like 1539 01:22:53,160 --> 01:22:56,960 Speaker 2: it's rude. I think. I think cigarettes some cigarette smokers 1540 01:22:57,000 --> 01:23:00,120 Speaker 2: are kind of the rudest people in the world, especially 1541 01:23:00,160 --> 01:23:03,200 Speaker 2: when you're in line at a dunkin Donuts or something 1542 01:23:03,240 --> 01:23:05,680 Speaker 2: and someone's smoking and the drive through, when you're trapped there, 1543 01:23:05,680 --> 01:23:08,800 Speaker 2: it's it's rude. It's just it's it's rude. You could 1544 01:23:08,800 --> 01:23:11,200 Speaker 2: do whatever you want, but like you shouldn't have other 1545 01:23:11,280 --> 01:23:13,600 Speaker 2: people have to smell it and inhale it. It's not 1546 01:23:13,800 --> 01:23:16,400 Speaker 2: it's really not fair. I really think people don't think 1547 01:23:16,439 --> 01:23:22,680 Speaker 2: about it because selfish, No, because this smell like is 1548 01:23:23,040 --> 01:23:25,240 Speaker 2: you know cigarette. You know, if like if you smoked 1549 01:23:25,240 --> 01:23:27,400 Speaker 2: a cigarette in my living room right now, that smell 1550 01:23:27,439 --> 01:23:29,680 Speaker 2: would be in my house for a week. If I 1551 01:23:29,760 --> 01:23:31,960 Speaker 2: smoked a joint in my living room, that smell would 1552 01:23:32,000 --> 01:23:35,160 Speaker 2: go away quicker. So I don't think people are thinking 1553 01:23:35,160 --> 01:23:37,960 Speaker 2: of it because it's not as potent as cigarette smoke, 1554 01:23:38,040 --> 01:23:40,360 Speaker 2: So they're probably just like, oh, I just got home 1555 01:23:40,360 --> 01:23:41,840 Speaker 2: from work, I'm going to smoke a joint, and they 1556 01:23:41,880 --> 01:23:44,360 Speaker 2: don't really realize because the smell might fizzle out of 1557 01:23:44,400 --> 01:23:47,160 Speaker 2: their place by the next morning. Why because it's being 1558 01:23:47,240 --> 01:23:50,679 Speaker 2: stuffed up out of the ventilation system into someone else's apartment. 1559 01:23:50,840 --> 01:23:53,519 Speaker 2: I don't know. It's just like like I understand this 1560 01:23:53,640 --> 01:23:56,519 Speaker 2: lady's complaint, but like you have to move, and where 1561 01:23:56,560 --> 01:23:58,600 Speaker 2: you move in a building, there's gonna be somebody that 1562 01:23:58,720 --> 01:24:01,640 Speaker 2: smells in some way or another. So it's kind of like, 1563 01:24:02,439 --> 01:24:05,799 Speaker 2: I don't think weed smoke's the biggest deal. I understand 1564 01:24:05,840 --> 01:24:08,439 Speaker 2: it's annoying, but I don't think it's There's other smells 1565 01:24:08,479 --> 01:24:11,559 Speaker 2: that are way, way worse. No, I mean I feel 1566 01:24:11,600 --> 01:24:14,240 Speaker 2: that way about like cigarettes. If I had to smell 1567 01:24:14,280 --> 01:24:16,719 Speaker 2: that next to my house. I I just I couldn't 1568 01:24:16,760 --> 01:24:19,000 Speaker 2: even deal with it. But I don't want to smell 1569 01:24:19,080 --> 01:24:21,400 Speaker 2: anything like that. Like I I see what you're saying though. 1570 01:24:21,400 --> 01:24:25,160 Speaker 2: With food and everything, like microwaved fish, you just use 1571 01:24:25,760 --> 01:24:28,919 Speaker 2: one at the at the in the hospital, at the 1572 01:24:29,000 --> 01:24:30,880 Speaker 2: in the lunch room. You know, we we shared the 1573 01:24:30,920 --> 01:24:32,720 Speaker 2: lunch room with the entire lab, and it was just 1574 01:24:32,760 --> 01:24:35,040 Speaker 2: like there's a lot of people working there and people 1575 01:24:35,479 --> 01:24:38,200 Speaker 2: will common they would microwave fish. That was that was always. 1576 01:24:38,200 --> 01:24:40,479 Speaker 2: Actually the bottom line is you can't control what your 1577 01:24:40,520 --> 01:24:42,760 Speaker 2: neighbors are do if you're sharing a wall. So it 1578 01:24:42,920 --> 01:24:45,759 Speaker 2: just it's just the shitty part of you know, living 1579 01:24:45,800 --> 01:24:47,400 Speaker 2: in a twin or in a unit or in a 1580 01:24:47,479 --> 01:24:51,120 Speaker 2: row home. You just unfortunately have neighbors that and they 1581 01:24:51,120 --> 01:24:53,400 Speaker 2: could do whatever they want because they own that place too. 1582 01:24:53,520 --> 01:24:56,160 Speaker 2: So like, yeah, you just gotta you gotta move if 1583 01:24:56,160 --> 01:24:57,680 Speaker 2: you really don't want to deal with it, but you 1584 01:24:57,800 --> 01:25:01,519 Speaker 2: probably will have to deal with it somewhere else too. Okay, 1585 01:25:01,560 --> 01:25:04,320 Speaker 2: this next one, on April eighth, the moon will pass 1586 01:25:04,400 --> 01:25:07,280 Speaker 2: between the Sun and the Earth, which will briefly block 1587 01:25:07,320 --> 01:25:09,760 Speaker 2: out some or all of it's late one of the 1588 01:25:09,760 --> 01:25:14,160 Speaker 2: most stunning celestial events known to mankind. So I can't wait. 1589 01:25:14,760 --> 01:25:17,719 Speaker 2: I'm excited. I'm like a kind of a huge space nerd, 1590 01:25:17,760 --> 01:25:21,880 Speaker 2: you know, and it's it's really exciting, and it's going 1591 01:25:21,920 --> 01:25:24,599 Speaker 2: to be semi close to Philadelphia, so I think that 1592 01:25:24,640 --> 01:25:26,920 Speaker 2: we're going to be able to see it ninety one 1593 01:25:27,200 --> 01:25:30,559 Speaker 2: percent or ninety point one percent of the eclipse, which 1594 01:25:30,600 --> 01:25:33,639 Speaker 2: is pretty cool without having to travel, except I heard 1595 01:25:33,640 --> 01:25:35,519 Speaker 2: that it might be cloudy that day, which is going 1596 01:25:35,560 --> 01:25:37,120 Speaker 2: to suck. I don't know how they would really know 1597 01:25:37,200 --> 01:25:41,000 Speaker 2: that this far in advance, but I'll definitely be outside 1598 01:25:41,080 --> 01:25:44,040 Speaker 2: trying to see it. And one of the concerns, obviously, 1599 01:25:44,320 --> 01:25:47,280 Speaker 2: is that you can burn your retina from looking at 1600 01:25:47,280 --> 01:25:52,280 Speaker 2: the sun, so it's called solar retinopathy, and it's really 1601 01:25:52,640 --> 01:25:55,080 Speaker 2: it's really not good to look at the sun because 1602 01:25:55,160 --> 01:25:58,439 Speaker 2: you're your retina doesn't really have nerve damage. So if 1603 01:25:58,479 --> 01:26:02,240 Speaker 2: you're looking at the Sun and it's completely damaging your retina, 1604 01:26:02,280 --> 01:26:05,680 Speaker 2: you wouldn't even realize it, maybe until hours later. You 1605 01:26:05,720 --> 01:26:10,040 Speaker 2: can start having issues with blindness and just seeing spots 1606 01:26:10,040 --> 01:26:13,960 Speaker 2: and just really horrible things that come later and you 1607 01:26:14,000 --> 01:26:17,639 Speaker 2: wouldn't know it at the time, So you could permanently 1608 01:26:17,760 --> 01:26:21,240 Speaker 2: damage your retina and and even go blind. Honestly, it's 1609 01:26:21,280 --> 01:26:23,880 Speaker 2: just it's so dangerous. So they're letting kids out of 1610 01:26:23,880 --> 01:26:27,720 Speaker 2: school because again, you can't possibly have control over all 1611 01:26:27,800 --> 01:26:29,599 Speaker 2: these children that want to look up in the sky 1612 01:26:29,640 --> 01:26:32,639 Speaker 2: and see this thing unless you just make them stay. 1613 01:26:33,120 --> 01:26:34,960 Speaker 2: Is that it's going to happen right around the time 1614 01:26:35,040 --> 01:26:37,599 Speaker 2: schools get out, So they don't want them to be 1615 01:26:37,840 --> 01:26:40,400 Speaker 2: stuck in a situation where they're traveling home from school 1616 01:26:40,439 --> 01:26:43,160 Speaker 2: and they have no other choice but to look outside. 1617 01:26:43,240 --> 01:26:45,639 Speaker 2: So yeah, and they're going to want to because they're kids, 1618 01:26:45,640 --> 01:26:48,280 Speaker 2: and they just don't realize it. Like I guess, I 1619 01:26:48,320 --> 01:26:50,479 Speaker 2: guess in there, Like if you have a bright light 1620 01:26:50,560 --> 01:26:52,439 Speaker 2: in your house, let's say, and you look at it 1621 01:26:52,479 --> 01:26:55,519 Speaker 2: and it's so bright, like you turn your eyes away. 1622 01:26:55,800 --> 01:27:00,320 Speaker 2: You would there's nothing physiologically that's telling your body. Like 1623 01:27:01,200 --> 01:27:03,040 Speaker 2: let's say, for instance, when you open the stove and 1624 01:27:03,080 --> 01:27:05,599 Speaker 2: you touch something hot, you feel it and you pull 1625 01:27:05,600 --> 01:27:08,080 Speaker 2: your hand away so you don't get injured, right, You're 1626 01:27:08,080 --> 01:27:11,360 Speaker 2: not having that same response physiologically, like your eye isn't 1627 01:27:11,360 --> 01:27:15,160 Speaker 2: telling you like stop doing this, something's wrong. And once 1628 01:27:15,280 --> 01:27:18,120 Speaker 2: you damage your eyes, that's it. You can't sometimes they 1629 01:27:18,160 --> 01:27:21,080 Speaker 2: cannot fix that and it could be permanent damage. So 1630 01:27:22,080 --> 01:27:24,880 Speaker 2: I have a favorite things on my Amazon, like an 1631 01:27:24,920 --> 01:27:27,160 Speaker 2: Amazon list on the favorite things on the website. What's 1632 01:27:27,360 --> 01:27:31,280 Speaker 2: what is the the you is It's thedoormatter dot com 1633 01:27:31,280 --> 01:27:35,320 Speaker 2: slash Favorite dash Things. But you can also find it 1634 01:27:35,360 --> 01:27:39,599 Speaker 2: in the description of every episode. Yeah, so I went 1635 01:27:39,680 --> 01:27:42,240 Speaker 2: on space dot com and I found these like NASA 1636 01:27:42,320 --> 01:27:46,439 Speaker 2: approved solar eclipse sunglasses that they sell on Amazon, and 1637 01:27:46,479 --> 01:27:49,240 Speaker 2: they're they're really cheap. They're like fifteen dollars and you 1638 01:27:49,280 --> 01:27:52,040 Speaker 2: get I don't even think they might not even be 1639 01:27:52,080 --> 01:27:53,840 Speaker 2: fifteen dollars, but they're around that, and you get a 1640 01:27:53,840 --> 01:27:55,760 Speaker 2: couple pairs and then you get a book about how 1641 01:27:55,760 --> 01:27:59,080 Speaker 2: to safely view the eclipse. So I put that link 1642 01:27:59,080 --> 01:28:00,559 Speaker 2: on there so you guys can check it out, and 1643 01:28:00,600 --> 01:28:03,160 Speaker 2: I ordered. I actually ordered too for my family because 1644 01:28:03,160 --> 01:28:06,479 Speaker 2: I was hoping Maria would want to go see it too. 1645 01:28:07,200 --> 01:28:09,720 Speaker 2: It's cool. It's like it's not happening again for a 1646 01:28:09,760 --> 01:28:12,160 Speaker 2: really long time. You might not ever get to see it. 1647 01:28:12,160 --> 01:28:14,000 Speaker 2: It's very cool. I got a question about that because 1648 01:28:14,000 --> 01:28:17,120 Speaker 2: we had one in twenty seventeen, So why are these 1649 01:28:17,120 --> 01:28:19,960 Speaker 2: two suits we went to that? Remember, Well, I was 1650 01:28:20,000 --> 01:28:23,240 Speaker 2: at work when it happened, So you guys went somewhere. Yeah, 1651 01:28:23,280 --> 01:28:26,880 Speaker 2: we went to and it wasn't great because the weather 1652 01:28:27,000 --> 01:28:31,040 Speaker 2: wasn't cooperating. I remember we went to the firehouse and 1653 01:28:31,240 --> 01:28:33,320 Speaker 2: we went in the Camden waterfront and we were looking 1654 01:28:33,360 --> 01:28:35,360 Speaker 2: at it. I just tell the kids were really little. 1655 01:28:35,439 --> 01:28:37,280 Speaker 2: I just texted my friend about this when I was 1656 01:28:37,320 --> 01:28:40,120 Speaker 2: writing my notes for this earlier, because I vividly remember 1657 01:28:40,160 --> 01:28:42,280 Speaker 2: that day because we had just banned this woman from 1658 01:28:42,320 --> 01:28:44,960 Speaker 2: the bar and she came in and kept using the 1659 01:28:45,000 --> 01:28:47,120 Speaker 2: eclipse as a reason why she couldn't leave because she 1660 01:28:47,280 --> 01:28:49,719 Speaker 2: was scared to go blind. And I'm like, I can't 1661 01:28:49,720 --> 01:28:52,240 Speaker 2: believe this is happening right now. Just please get out 1662 01:28:52,240 --> 01:28:54,840 Speaker 2: of it. Yeah, and like being outside isn't going to 1663 01:28:54,880 --> 01:28:57,320 Speaker 2: do anything. It's just like looking at that little thin 1664 01:28:57,520 --> 01:29:00,040 Speaker 2: rim that's around the sun can burn your eye. It 1665 01:29:00,360 --> 01:29:03,040 Speaker 2: was problematic on many levels, but that day is forever 1666 01:29:03,080 --> 01:29:05,960 Speaker 2: in my brain because I'm like literally battling this woman 1667 01:29:06,040 --> 01:29:07,960 Speaker 2: to leave, and then she kept being like, well, the 1668 01:29:08,000 --> 01:29:10,880 Speaker 2: eclipse is happening, so I cain't get either. It's a 1669 01:29:10,960 --> 01:29:16,000 Speaker 2: valid excuse, valid, Okay. Onto other death nuds. So pathogens 1670 01:29:16,040 --> 01:29:19,639 Speaker 2: were found in cadavers at Duke University School of Medicine. 1671 01:29:19,680 --> 01:29:22,360 Speaker 2: So for us everyday people, can you explain what this 1672 01:29:22,479 --> 01:29:26,000 Speaker 2: means and why it's a problem. So cadavers are bodies 1673 01:29:26,000 --> 01:29:28,960 Speaker 2: that are donated to the medical school. So people like 1674 01:29:29,120 --> 01:29:34,960 Speaker 2: me and medical students and anything anatomy, physiology, any kind 1675 01:29:34,960 --> 01:29:38,000 Speaker 2: of majors like that, physician's assistance, we all have to 1676 01:29:38,360 --> 01:29:40,799 Speaker 2: have a body that we dissex so we could learn anatomy. 1677 01:29:40,880 --> 01:29:43,280 Speaker 2: It's the only way, in my opinion, to learn anatomy 1678 01:29:43,360 --> 01:29:47,200 Speaker 2: is from a real body. And before we get these bodies, 1679 01:29:47,840 --> 01:29:51,280 Speaker 2: they have to be tested so they're semi safe in 1680 01:29:51,280 --> 01:29:54,320 Speaker 2: case a student gets injured on one of them. So 1681 01:29:54,640 --> 01:29:57,840 Speaker 2: you can't obviously test for everything, but they test for 1682 01:29:57,920 --> 01:30:02,840 Speaker 2: major things like HIV, HEPAITA, B hepatitis C. And they 1683 01:30:02,880 --> 01:30:05,679 Speaker 2: want to make sure that if you know, we're doing 1684 01:30:05,720 --> 01:30:08,320 Speaker 2: the dissection and we get cut, because you more than 1685 01:30:08,400 --> 01:30:11,000 Speaker 2: likely will I've been cut several times throughout my career, 1686 01:30:11,400 --> 01:30:14,120 Speaker 2: that you're not increasing the risk that one of the 1687 01:30:14,160 --> 01:30:16,920 Speaker 2: students is going to get one of these pathogens. Right, 1688 01:30:18,439 --> 01:30:22,040 Speaker 2: So I guess they did studies. They figured out that 1689 01:30:22,080 --> 01:30:24,400 Speaker 2: they did testing on these and they some of them 1690 01:30:24,439 --> 01:30:27,599 Speaker 2: were testing positive for more of the dangerous like HIV, 1691 01:30:27,800 --> 01:30:31,639 Speaker 2: heps and they were still letting the people dissect these 1692 01:30:31,680 --> 01:30:35,720 Speaker 2: cadavers for I don't know why they don't really mention 1693 01:30:35,800 --> 01:30:39,519 Speaker 2: that in the article, but it is concerning because like 1694 01:30:39,600 --> 01:30:41,400 Speaker 2: they say, oh, it's probably not bad because all the 1695 01:30:41,439 --> 01:30:44,919 Speaker 2: students are wearing PPE right, which is like personal protective equipment, 1696 01:30:45,040 --> 01:30:48,720 Speaker 2: so gloves and aprons and face shields and things like that, 1697 01:30:49,120 --> 01:30:53,599 Speaker 2: but that that doesn't mean anything because you can cut 1698 01:30:53,680 --> 01:30:56,519 Speaker 2: right through a glove like very easily with a scalpel 1699 01:30:56,560 --> 01:30:59,919 Speaker 2: bleed and then get that infection or virus or bacteria. 1700 01:31:00,040 --> 01:31:02,479 Speaker 2: They were even they mentioned syphilis there, which I was 1701 01:31:02,520 --> 01:31:04,880 Speaker 2: like the one of them positive for syphilis. I don't know, 1702 01:31:05,360 --> 01:31:08,760 Speaker 2: but certain ones, like we before you would work on 1703 01:31:08,800 --> 01:31:10,559 Speaker 2: a body like this, you would be vaccinated for a 1704 01:31:10,560 --> 01:31:12,920 Speaker 2: hepatitis B. That's like a standard one that you get 1705 01:31:12,960 --> 01:31:17,000 Speaker 2: working in a hospital, but hepatitis C no, like you 1706 01:31:17,000 --> 01:31:18,880 Speaker 2: you just have to like you get it and then 1707 01:31:18,920 --> 01:31:21,559 Speaker 2: you have to basically like wait and see if it 1708 01:31:21,600 --> 01:31:25,160 Speaker 2: makes you sick kind of thing. So I think it 1709 01:31:25,280 --> 01:31:28,320 Speaker 2: is a concern. I think there's definitely exposures and I 1710 01:31:28,320 --> 01:31:31,719 Speaker 2: don't know like why they allowed these students to dissect 1711 01:31:31,760 --> 01:31:34,960 Speaker 2: these bodies. But it it might have something to do 1712 01:31:35,000 --> 01:31:37,640 Speaker 2: with the fact that they're kind of difficult to get sometimes, 1713 01:31:37,680 --> 01:31:39,639 Speaker 2: and maybe they had a class going on and they 1714 01:31:39,720 --> 01:31:42,720 Speaker 2: just said, hey, we're just gonna risk this because they 1715 01:31:42,760 --> 01:31:46,400 Speaker 2: need to have a body to dissact. I don't know. Yeah, 1716 01:31:46,400 --> 01:31:49,400 Speaker 2: it's just really interesting. Yeah, I mean it's it's kind 1717 01:31:49,400 --> 01:31:51,920 Speaker 2: of not cool. And it was between twenty nineteen and 1718 01:31:51,960 --> 01:31:54,800 Speaker 2: twenty and twenty three. They said there was about seven 1719 01:31:54,880 --> 01:31:57,360 Speaker 2: hundred people that touched these bodies. Yeah, they had to 1720 01:31:57,600 --> 01:32:00,080 Speaker 2: send letters to all of them. Yeah, and I guarantee 1721 01:32:00,200 --> 01:32:02,200 Speaker 2: that out of these seven hundred people, like, there was 1722 01:32:02,240 --> 01:32:04,640 Speaker 2: somebody that got cut and had an exposure. So it 1723 01:32:04,760 --> 01:32:07,920 Speaker 2: just would be nice to know, especially because you've been 1724 01:32:07,960 --> 01:32:10,519 Speaker 2: going on with your life. You like, if I were 1725 01:32:10,560 --> 01:32:12,720 Speaker 2: to ever get cut at the hospital, I would go 1726 01:32:12,800 --> 01:32:16,040 Speaker 2: get down documented right away and be able to monitor 1727 01:32:16,080 --> 01:32:18,640 Speaker 2: it right away. Just to not know for years is 1728 01:32:18,720 --> 01:32:21,479 Speaker 2: kind of messed up. Yeah, for sure. And they'll do 1729 01:32:21,560 --> 01:32:25,200 Speaker 2: nothing except gett a letter, you know, Yeah, exactly. Sorry. Okay, 1730 01:32:25,240 --> 01:32:28,280 Speaker 2: So our last story is about this scientist that manipulated 1731 01:32:28,360 --> 01:32:32,400 Speaker 2: DNA data in hundreds of cases over the last three decades. 1732 01:32:32,920 --> 01:32:36,360 Speaker 2: So the Colorado Bureau of Investigation found that a former 1733 01:32:36,479 --> 01:32:39,880 Speaker 2: DNA scientist manipulated the data in hundreds of cases, and 1734 01:32:39,920 --> 01:32:43,560 Speaker 2: she worked there for thirty years. So the internal investigation 1735 01:32:43,720 --> 01:32:48,000 Speaker 2: found that Yvonne Missy woods handling of DNA testing data 1736 01:32:48,040 --> 01:32:51,960 Speaker 2: affected six hundred and fifty two cases between two thousand 1737 01:32:51,960 --> 01:32:55,840 Speaker 2: and eight and twenty and twenty three, including posting incomplete 1738 01:32:55,880 --> 01:32:59,040 Speaker 2: results in some cases. So they're doing a review of 1739 01:32:59,080 --> 01:33:01,760 Speaker 2: her work from nineteen ninety four to two thousand and eight, 1740 01:33:01,800 --> 01:33:06,200 Speaker 2: and there's also a separate criminal investigation into this. Yeah, 1741 01:33:06,240 --> 01:33:08,840 Speaker 2: so there, I guess her lawyers are saying that she 1742 01:33:09,040 --> 01:33:12,360 Speaker 2: never inten I'm not one hundred percent sure of what's 1743 01:33:12,360 --> 01:33:15,800 Speaker 2: going on here, but she didn't intentionally do anything with 1744 01:33:15,880 --> 01:33:20,160 Speaker 2: the DNA that falsely imprisoned people or did not put 1745 01:33:20,200 --> 01:33:22,800 Speaker 2: people in prison that should have been there, or kept 1746 01:33:22,880 --> 01:33:25,519 Speaker 2: people out of prison that should have been Did I 1747 01:33:25,560 --> 01:33:27,360 Speaker 2: just say the same thing twice? I don't know, But 1748 01:33:28,720 --> 01:33:33,200 Speaker 2: the regardless, she she didn't do anything like that. But 1749 01:33:33,400 --> 01:33:36,559 Speaker 2: as from a lawyer's perspective, now, let's say you had 1750 01:33:36,640 --> 01:33:38,800 Speaker 2: one of these people that she did the DNA on 1751 01:33:38,880 --> 01:33:40,840 Speaker 2: and they're in jail, and you don't especially if you 1752 01:33:40,840 --> 01:33:43,439 Speaker 2: think they shouldn't have been in jail, right, I'm gonna 1753 01:33:43,479 --> 01:33:45,920 Speaker 2: be like, I don't trust anything that that lady did, 1754 01:33:46,040 --> 01:33:49,719 Speaker 2: and we need to look at every single case she did. Well, 1755 01:33:49,840 --> 01:33:52,960 Speaker 2: somebody is coming forward that was just in prison under 1756 01:33:53,080 --> 01:33:56,800 Speaker 2: one of her tests, because they're saying that she had 1757 01:33:56,840 --> 01:34:00,439 Speaker 2: tested this hair from the crime scene and it was 1758 01:34:01,400 --> 01:34:03,360 Speaker 2: it turned out to be the victim's hair, not this 1759 01:34:03,439 --> 01:34:06,400 Speaker 2: guy's hair. So then the grand jury didn't end up 1760 01:34:06,400 --> 01:34:10,680 Speaker 2: pressing charges. But then another hare suddenly showed up that 1761 01:34:10,880 --> 01:34:13,680 Speaker 2: was apparently his and that's what his conviction was based on. 1762 01:34:13,800 --> 01:34:16,840 Speaker 2: Is this hair? Right? So the lawyer is saying that 1763 01:34:16,880 --> 01:34:19,400 Speaker 2: there's no record of this hair being collected at the 1764 01:34:19,439 --> 01:34:22,479 Speaker 2: crime scene, and they're like, where did she get this? 1765 01:34:23,040 --> 01:34:26,120 Speaker 2: You know, this reminds me of this. I wish I 1766 01:34:26,160 --> 01:34:29,439 Speaker 2: remember this when you were interviewing Antoinette. There was this 1767 01:34:29,520 --> 01:34:33,360 Speaker 2: documentary on Netflix about a drug testing lab where this 1768 01:34:33,439 --> 01:34:36,519 Speaker 2: woman was well, the first it was a two parter, 1769 01:34:36,640 --> 01:34:38,280 Speaker 2: So the first part was about a woman who was 1770 01:34:38,320 --> 01:34:41,080 Speaker 2: testing drugs and then doing the drugs, and then the 1771 01:34:41,120 --> 01:34:44,720 Speaker 2: second was this woman was just marking them all positive. 1772 01:34:45,240 --> 01:34:48,679 Speaker 2: So they had to let every single person she tested 1773 01:34:48,680 --> 01:34:51,280 Speaker 2: their sample out of jail because they didn't they couldn't 1774 01:34:51,320 --> 01:34:55,760 Speaker 2: go back and retest them. That's well, that's what's happening here. 1775 01:34:55,880 --> 01:34:59,320 Speaker 2: Like it looks like they're requesting the states requesting seven 1776 01:34:59,360 --> 01:35:02,160 Speaker 2: point five I have million dollars to look at these 1777 01:35:02,200 --> 01:35:05,360 Speaker 2: three thousand tests that she's done over this time, and 1778 01:35:05,400 --> 01:35:07,679 Speaker 2: think about it, they have to redo all the tests 1779 01:35:08,200 --> 01:35:10,759 Speaker 2: and then they have to go through all of the cases. 1780 01:35:11,120 --> 01:35:15,240 Speaker 2: It's just it's an incredible amount of money and resources. 1781 01:35:15,840 --> 01:35:19,240 Speaker 2: And why was she doing this? Was she sloppy or 1782 01:35:19,280 --> 01:35:22,880 Speaker 2: was she intentionally doing this? Like they didn't really you know, 1783 01:35:22,960 --> 01:35:25,160 Speaker 2: I think a lot of this is laziness. And they 1784 01:35:25,160 --> 01:35:27,280 Speaker 2: were saying with the woman in the drug testing lab, 1785 01:35:27,400 --> 01:35:29,599 Speaker 2: she just had this like urge to be the top 1786 01:35:29,640 --> 01:35:32,880 Speaker 2: performer at work. So you know what was really the 1787 01:35:32,920 --> 01:35:35,720 Speaker 2: red flag in her case was she I'm just I'm 1788 01:35:35,760 --> 01:35:38,080 Speaker 2: just making this number up because I don't remember the specifics. 1789 01:35:38,080 --> 01:35:40,599 Speaker 2: But let's say on average a day, somebody could get 1790 01:35:40,640 --> 01:35:43,679 Speaker 2: five drug tests done in a day. She was getting 1791 01:35:43,680 --> 01:35:47,280 Speaker 2: done like twenty. Yeah, which should have been an alarm 1792 01:35:47,360 --> 01:35:50,840 Speaker 2: because that that was actually a thing dealing with my 1793 01:35:50,960 --> 01:35:54,519 Speaker 2: old career in the sitology world, that people were trying 1794 01:35:54,560 --> 01:35:56,880 Speaker 2: to read so many pap smerors that they would be 1795 01:35:57,160 --> 01:35:59,439 Speaker 2: taking them home and trying to read them so they 1796 01:35:59,479 --> 01:36:01,840 Speaker 2: could they get paid per slide and stuff like that. 1797 01:36:02,280 --> 01:36:05,000 Speaker 2: So people were reading hundreds of pap smears a day 1798 01:36:05,080 --> 01:36:07,679 Speaker 2: just so they can make more money. And then finally 1799 01:36:07,720 --> 01:36:11,080 Speaker 2: they put a limit and said, Okay, a cytotech is 1800 01:36:11,120 --> 01:36:13,799 Speaker 2: only allowed to look at one hundred a day because 1801 01:36:13,880 --> 01:36:17,000 Speaker 2: of that, because if they don't, because they have to 1802 01:36:17,040 --> 01:36:19,840 Speaker 2: put limitations on that. And the only reason that that 1803 01:36:19,960 --> 01:36:22,840 Speaker 2: happened was because in that case it was like some 1804 01:36:23,000 --> 01:36:27,600 Speaker 2: congress person or some higher up in the legislative system's 1805 01:36:27,760 --> 01:36:30,920 Speaker 2: wife got affected by that pap smere not getting looked at, 1806 01:36:30,960 --> 01:36:33,320 Speaker 2: and that's why they they put a squash on that. 1807 01:36:33,439 --> 01:36:36,560 Speaker 2: But they they should have put a squash on that immediately. 1808 01:36:37,000 --> 01:36:39,879 Speaker 2: When you see that there's an average, like every employee 1809 01:36:39,920 --> 01:36:42,040 Speaker 2: could do this and then this other one does that, 1810 01:36:42,400 --> 01:36:45,040 Speaker 2: you have to be like, okay, she's cutting corner somewhere. 1811 01:36:45,080 --> 01:36:46,960 Speaker 2: Well yeah, And the best part is like they were like, 1812 01:36:47,000 --> 01:36:49,760 Speaker 2: you should work more like so and so, acting like 1813 01:36:49,880 --> 01:36:52,599 Speaker 2: every other employee at the agency is lazy and this 1814 01:36:52,680 --> 01:36:55,160 Speaker 2: lady's going above and beyond and it's not like okay, 1815 01:36:55,200 --> 01:36:56,960 Speaker 2: but you want to you don't want to even like 1816 01:36:57,040 --> 01:36:59,559 Speaker 2: kind of look into why, Like you don't even want 1817 01:36:59,560 --> 01:37:01,800 Speaker 2: to see what she's doing different to help the other 1818 01:37:01,840 --> 01:37:03,960 Speaker 2: employees out. You just want to assume she's doing better. 1819 01:37:04,040 --> 01:37:07,439 Speaker 2: So you know, this could be This definitely could be 1820 01:37:07,560 --> 01:37:11,960 Speaker 2: laziness or people get some sick satisfaction out of you know, 1821 01:37:12,040 --> 01:37:14,360 Speaker 2: somebody's arrested and they're just like, well, you're arrested, so 1822 01:37:14,439 --> 01:37:16,639 Speaker 2: you most be guilty, So I'm gonna make sure you're guilty. 1823 01:37:17,080 --> 01:37:20,639 Speaker 2: I mean, they said they said that. It said quote 1824 01:37:20,680 --> 01:37:26,040 Speaker 2: she has never created or reported any false in culparatory 1825 01:37:26,479 --> 01:37:30,200 Speaker 2: DNA matches or exclusions, nor has she testified falsely in 1826 01:37:30,240 --> 01:37:32,760 Speaker 2: any hearings or trial results. Well that's what they do, 1827 01:37:32,920 --> 01:37:35,599 Speaker 2: That's what her lawyer's saying, though. Yeah, no, I know, 1828 01:37:36,040 --> 01:37:39,840 Speaker 2: but I mean it either has to be that that 1829 01:37:39,920 --> 01:37:43,519 Speaker 2: she was being that she was doing it intentionally, or 1830 01:37:43,560 --> 01:37:47,000 Speaker 2: that it was it was just sloppy accidental. But regardless, like, 1831 01:37:47,560 --> 01:37:50,040 Speaker 2: think about the state, all the resources on top of 1832 01:37:50,080 --> 01:37:51,960 Speaker 2: all this money that the state has to put out 1833 01:37:52,000 --> 01:37:55,760 Speaker 2: now to just clear these cases. And if you're in 1834 01:37:55,760 --> 01:37:58,080 Speaker 2: prison right now and you really didn't do anything, this 1835 01:37:58,160 --> 01:38:00,560 Speaker 2: is what makes people like not trust this, you know, 1836 01:38:00,760 --> 01:38:03,960 Speaker 2: and if if they can't, the most important thing is 1837 01:38:04,000 --> 01:38:06,720 Speaker 2: if they can't backtrack and double check her work and 1838 01:38:06,800 --> 01:38:10,720 Speaker 2: prove that her results were correct. If they have no 1839 01:38:10,800 --> 01:38:14,120 Speaker 2: evidence or if they have evidence that she did something incorrectly, 1840 01:38:14,160 --> 01:38:16,519 Speaker 2: they have to let that person out, no matter if 1841 01:38:16,560 --> 01:38:20,320 Speaker 2: they actually did it or not. So that's what happened 1842 01:38:20,360 --> 01:38:22,719 Speaker 2: in the drug case. They couldn't go back and test 1843 01:38:22,760 --> 01:38:26,639 Speaker 2: the drugs. So let's say she got fifty samples of 1844 01:38:26,680 --> 01:38:29,000 Speaker 2: what they thought was cocaine, but she marked all of 1845 01:38:29,000 --> 01:38:31,200 Speaker 2: them positive, but five of them might have been like 1846 01:38:32,040 --> 01:38:35,400 Speaker 2: baby laxatives or powdered sugar. Right, they don't know and 1847 01:38:35,400 --> 01:38:37,679 Speaker 2: they don't have the samples anymore. So therefore they had 1848 01:38:37,680 --> 01:38:40,360 Speaker 2: to let all of the people out of jail. I 1849 01:38:40,400 --> 01:38:42,360 Speaker 2: don't know if that would happen in this case, because 1850 01:38:42,400 --> 01:38:44,719 Speaker 2: if they're able to, I think that's why they're doing 1851 01:38:44,760 --> 01:38:47,160 Speaker 2: the DNA test again, because if they come out the 1852 01:38:47,200 --> 01:38:50,559 Speaker 2: same yes, if her same evidence, then they're not going 1853 01:38:50,600 --> 01:38:53,559 Speaker 2: to let like three thousand people that. That's what I'm saying, 1854 01:38:53,600 --> 01:38:56,680 Speaker 2: Like for Kate, No, they're going to double check all 1855 01:38:56,760 --> 01:38:59,200 Speaker 2: the cases, but for ones that they don't know for sure, 1856 01:38:59,880 --> 01:39:01,960 Speaker 2: or ones that I mean enough evidence they have to 1857 01:39:02,040 --> 01:39:04,160 Speaker 2: let them out because I don't know if that was 1858 01:39:04,439 --> 01:39:07,800 Speaker 2: convicting quality. Yeah. I don't know if they would like 1859 01:39:07,880 --> 01:39:09,919 Speaker 2: let them out though, or if they would like retry 1860 01:39:09,920 --> 01:39:13,519 Speaker 2: them maybe or something because they're I'm not really sure 1861 01:39:13,560 --> 01:39:14,920 Speaker 2: what they would like. I don't think you could be 1862 01:39:15,000 --> 01:39:19,800 Speaker 2: tried twice for the same crime in America, So that's true. 1863 01:39:19,800 --> 01:39:22,320 Speaker 2: I don't know, so out of my out of my 1864 01:39:22,360 --> 01:39:24,760 Speaker 2: pay range. Yeah, So I don't know this. This is 1865 01:39:24,800 --> 01:39:28,439 Speaker 2: an absolute, this absolute mess. So I will be I'm 1866 01:39:28,520 --> 01:39:30,879 Speaker 2: very interested in this story though. I'm gonna be following 1867 01:39:30,880 --> 01:39:33,040 Speaker 2: this obviously. It's gonna take a couple of years for 1868 01:39:33,120 --> 01:39:35,600 Speaker 2: them to go through all of these cases. Update you 1869 01:39:35,640 --> 01:39:39,639 Speaker 2: in twenty twenty six. No, seriously, okay. On the Question 1870 01:39:39,720 --> 01:39:41,960 Speaker 2: of the Day Every Friday on the ap Mother Knows 1871 01:39:42,040 --> 01:39:44,360 Speaker 2: Death Instagram, we put a little question box up in 1872 01:39:44,400 --> 01:39:46,400 Speaker 2: the story so you could got you guys could ask 1873 01:39:46,439 --> 01:39:49,439 Speaker 2: whatever you want. So number one, what is your favorite 1874 01:39:49,520 --> 01:39:54,680 Speaker 2: kind of autopsy to perform? Oh? That's interesting. I love 1875 01:39:55,280 --> 01:39:59,200 Speaker 2: I'd love to do ones where a person was seemingly 1876 01:39:59,320 --> 01:40:02,400 Speaker 2: healthy and then they just died and they don't know why. 1877 01:40:02,479 --> 01:40:05,040 Speaker 2: Because I want to find out why. That's probably I 1878 01:40:05,040 --> 01:40:06,600 Speaker 2: would say that do you have an egg? Well, I 1879 01:40:06,600 --> 01:40:08,360 Speaker 2: guess you. I mean do you mean that? Or like 1880 01:40:08,479 --> 01:40:13,519 Speaker 2: body like I'd rather do like physically body like like 1881 01:40:13,880 --> 01:40:17,639 Speaker 2: skinny people are easier to do autopsies on like little 1882 01:40:17,880 --> 01:40:22,000 Speaker 2: ladies just anatomically they're very small and they they don't 1883 01:40:22,040 --> 01:40:24,560 Speaker 2: have a lot of body fats, so they're easy autopsies 1884 01:40:24,600 --> 01:40:28,360 Speaker 2: to do. But as far as like what I what 1885 01:40:28,439 --> 01:40:31,439 Speaker 2: I enjoy, like what gives me satisfaction that I'm doing 1886 01:40:31,840 --> 01:40:36,120 Speaker 2: something good? Is like trying to figure out what happened? Interesting? 1887 01:40:36,920 --> 01:40:40,280 Speaker 2: Have we ever thought about bringing our husbands on the podcast? 1888 01:40:40,920 --> 01:40:41,120 Speaker 3: Oh? 1889 01:40:41,120 --> 01:40:47,840 Speaker 2: God, so no. I I think everybody would love Ricky's voice. 1890 01:40:47,840 --> 01:40:50,479 Speaker 2: He has a very deep, raspy voice. Everybody says he 1891 01:40:50,520 --> 01:40:52,759 Speaker 2: has a good voice for radio, but then he thinks 1892 01:40:52,760 --> 01:40:54,639 Speaker 2: they're making the joke that he has a good face 1893 01:40:54,680 --> 01:40:58,759 Speaker 2: for radio, which means you're ugly. He has a good 1894 01:40:59,040 --> 01:41:01,559 Speaker 2: he has a good voice for certain radio. Like he 1895 01:41:01,600 --> 01:41:04,880 Speaker 2: would be good in the a horror movie trailer reader 1896 01:41:05,080 --> 01:41:07,400 Speaker 2: A horror movie trailer, Yeah, Like he would be good 1897 01:41:07,479 --> 01:41:11,920 Speaker 2: for there's the guy that does for YSP for the 1898 01:41:11,920 --> 01:41:14,000 Speaker 2: Phillies and stuff, like he has that kind of a 1899 01:41:14,000 --> 01:41:17,240 Speaker 2: good voice. Yeah, definitely for he definitely does. He has 1900 01:41:17,280 --> 01:41:21,000 Speaker 2: a very unique voice. But no, like, I don't know, 1901 01:41:21,200 --> 01:41:22,880 Speaker 2: what do you think. I feel like he'd make fun 1902 01:41:22,920 --> 01:41:24,800 Speaker 2: of me the whole time with you, So I'm gonna 1903 01:41:24,800 --> 01:41:26,960 Speaker 2: say that's to no for bringing in. We usually we 1904 01:41:27,080 --> 01:41:31,679 Speaker 2: usually do gang up on Maria and Gabe. We didn't 1905 01:41:31,720 --> 01:41:34,240 Speaker 2: in the gross room, didn't. We interview Gabe one time 1906 01:41:34,360 --> 01:41:38,639 Speaker 2: about some fire or something, and he was very serious 1907 01:41:38,680 --> 01:41:42,000 Speaker 2: and we're like, can you act like you normally? Oh 1908 01:41:42,040 --> 01:41:45,479 Speaker 2: my god, he was like talking at the lowest possible 1909 01:41:45,600 --> 01:41:49,040 Speaker 2: volume ever, and he was he was like he was answering, 1910 01:41:49,120 --> 01:41:52,960 Speaker 2: like like he was on an interview for like killing 1911 01:41:53,000 --> 01:41:55,320 Speaker 2: someone or something. He was like very matter of fact, 1912 01:41:55,360 --> 01:41:57,400 Speaker 2: like he was reading text. Yeah, it was like a 1913 01:41:57,439 --> 01:42:01,439 Speaker 2: police interrogation yet out of them. And then you know, 1914 01:42:01,680 --> 01:42:04,800 Speaker 2: we make fun of him the most because you'll just 1915 01:42:04,840 --> 01:42:07,000 Speaker 2: be like would you have for lunch today? And then 1916 01:42:07,120 --> 01:42:10,840 Speaker 2: it's like the SpongeBob graphic four hours later, like I 1917 01:42:11,040 --> 01:42:14,719 Speaker 2: just asked you. It's seriously, he's brutal. He's brutal, and 1918 01:42:14,800 --> 01:42:17,720 Speaker 2: we're just like, okay, Like sometimes if we have a 1919 01:42:17,800 --> 01:42:20,519 Speaker 2: question for him that we like think we can especially 1920 01:42:20,520 --> 01:42:22,640 Speaker 2: when we have gun questions. We always will ask my 1921 01:42:22,720 --> 01:42:26,160 Speaker 2: brother over Gabe, because like, I want a yes or 1922 01:42:26,200 --> 01:42:28,240 Speaker 2: no answer in two minutes, and Gabi talked to you 1923 01:42:28,320 --> 01:42:30,320 Speaker 2: for an hour and then you're like, I still don't 1924 01:42:30,320 --> 01:42:33,720 Speaker 2: know what they's no. Remember one of our first episodes 1925 01:42:33,760 --> 01:42:36,360 Speaker 2: on on As Mother Knows Death, we had a story 1926 01:42:36,400 --> 01:42:39,120 Speaker 2: about a BB gun or something and I called Louie 1927 01:42:39,160 --> 01:42:41,920 Speaker 2: and it was like a very quick thirty second explanation 1928 01:42:42,400 --> 01:42:44,400 Speaker 2: which I then used in the episode. But if I 1929 01:42:44,439 --> 01:42:47,120 Speaker 2: asked Gabe, it would have been seven hours later. I 1930 01:42:47,120 --> 01:42:48,960 Speaker 2: would have still had no idea what The answer to 1931 01:42:49,000 --> 01:42:53,479 Speaker 2: my question was. Just leave them alone. His brain works 1932 01:42:53,520 --> 01:42:57,320 Speaker 2: differently than ours. Us. We'll probably have them them jump 1933 01:42:57,360 --> 01:42:59,960 Speaker 2: in here and there eventually, but we got we gotta 1934 01:43:00,080 --> 01:43:03,680 Speaker 2: figure that out. Okay, last, how long does it take 1935 01:43:03,720 --> 01:43:07,879 Speaker 2: from start of recording to final editing and uploading? Well, everybody, 1936 01:43:07,920 --> 01:43:12,559 Speaker 2: it takes quite a while. So the already start. We 1937 01:43:12,720 --> 01:43:15,679 Speaker 2: start in the morning while we collect the stories all week, 1938 01:43:16,360 --> 01:43:19,479 Speaker 2: so that's that's like an everyday, all day thing, and 1939 01:43:19,520 --> 01:43:23,040 Speaker 2: then we do the We look up the stories a 1940 01:43:23,080 --> 01:43:27,080 Speaker 2: couple hours before we start. Yeah, for me, I'd say 1941 01:43:27,720 --> 01:43:32,760 Speaker 2: for me, because I do the notes the recording, the 1942 01:43:32,960 --> 01:43:35,760 Speaker 2: editing and everything that this is a twelve hour day 1943 01:43:35,760 --> 01:43:39,760 Speaker 2: for me. I'm done soon after this. You're done as 1944 01:43:39,840 --> 01:43:43,559 Speaker 2: soon as actually this I actually it's it's it's around 1945 01:43:43,560 --> 01:43:46,559 Speaker 2: two o'clock in the afternoon, and I'm gonna go pick 1946 01:43:46,600 --> 01:43:49,040 Speaker 2: my kids up from school and probably go to the boardwalk. 1947 01:43:49,560 --> 01:43:52,880 Speaker 2: Oh so you're down the shore today? Real nice? Well, 1948 01:43:52,960 --> 01:43:55,040 Speaker 2: what what am I supposed to do? It's like beautiful 1949 01:43:55,040 --> 01:43:57,160 Speaker 2: out today. It's actually like a good day around here. 1950 01:43:57,200 --> 01:44:00,000 Speaker 2: It's seventy five and I'm like looking at the sun outside. 1951 01:44:00,479 --> 01:44:02,240 Speaker 2: So you just get to go eat a nice ice 1952 01:44:02,280 --> 01:44:04,400 Speaker 2: cream cone on the boardwalk while I'm gonna sit in 1953 01:44:04,400 --> 01:44:07,479 Speaker 2: my layer and a. It's it's like five hours. Yeah, 1954 01:44:07,479 --> 01:44:10,559 Speaker 2: I'll send I'll send you a picture. Thanks. Oh can 1955 01:44:10,600 --> 01:44:12,320 Speaker 2: you I could bring you home? I know it was 1956 01:44:12,360 --> 01:44:17,320 Speaker 2: gonna get me hiresh potato potatoes. I want fudge, all right, Okay, 1957 01:44:17,360 --> 01:44:21,439 Speaker 2: I want chocolate fudge with walnuts in it. Anyway, So 1958 01:44:21,560 --> 01:44:24,000 Speaker 2: it's about two o'clock right now. This. The audio for 1959 01:44:24,080 --> 01:44:27,840 Speaker 2: this episode will probably go up around five, and then 1960 01:44:28,040 --> 01:44:31,680 Speaker 2: the YouTube. Well, the main problem with YouTube is that 1961 01:44:31,760 --> 01:44:34,360 Speaker 2: it takes forever when you upload it to like upload 1962 01:44:34,400 --> 01:44:36,800 Speaker 2: and render on there, so it'll probably be up by 1963 01:44:36,800 --> 01:44:40,120 Speaker 2: like six or seven and then. Yeah, but I mean 1964 01:44:40,160 --> 01:44:42,760 Speaker 2: we're I feel like we're getting better every week that 1965 01:44:42,800 --> 01:44:45,120 Speaker 2: we do this, because in the beginning it was, oh 1966 01:44:45,160 --> 01:44:48,400 Speaker 2: my god, it's brutal. In the beginning, we'd record around 1967 01:44:48,520 --> 01:44:50,960 Speaker 2: like eleven thirty twelve, and I wouldn't have the episode 1968 01:44:51,000 --> 01:44:53,439 Speaker 2: up till nine o'clock and I and then the YouTube 1969 01:44:53,439 --> 01:44:56,040 Speaker 2: wouldn't be up till around midnight. But it's it's definitely 1970 01:44:56,040 --> 01:44:58,720 Speaker 2: going faster. I mean last week was really fast. I 1971 01:44:58,760 --> 01:45:01,320 Speaker 2: was done work by five thirty, which was totally unheard 1972 01:45:01,360 --> 01:45:03,840 Speaker 2: of for this. That was the fast I've done at 1973 01:45:03,880 --> 01:45:07,080 Speaker 2: This episode's nearly two hours. You know, right now we're 1974 01:45:07,080 --> 01:45:09,760 Speaker 2: at the one hour fifty seven minute mark. When I 1975 01:45:09,960 --> 01:45:11,880 Speaker 2: edit this and put the song in and everything, it'll 1976 01:45:11,880 --> 01:45:14,640 Speaker 2: probably be more like an hour and forty five. But 1977 01:45:14,800 --> 01:45:17,080 Speaker 2: and then you cut out all all the things that 1978 01:45:17,120 --> 01:45:19,960 Speaker 2: we screwed up. Yeah, I cut out one. We need 1979 01:45:20,000 --> 01:45:22,519 Speaker 2: to have like a like at least like a YouTube 1980 01:45:22,600 --> 01:45:25,479 Speaker 2: episode of like all of our bloopers and stuff like 1981 01:45:25,680 --> 01:45:29,200 Speaker 2: boo yeah, because it's so funny. I'm sure you hear 1982 01:45:29,280 --> 01:45:32,640 Speaker 2: us say things that incorrectly sometimes, but there is just 1983 01:45:32,680 --> 01:45:34,400 Speaker 2: a point where you're like, I just have to keep 1984 01:45:34,439 --> 01:45:37,599 Speaker 2: going forward or this is never gonna end. But yeah, 1985 01:45:37,600 --> 01:45:40,679 Speaker 2: but sometimes it's just so bad you're you're just like, Okay, 1986 01:45:40,720 --> 01:45:43,639 Speaker 2: we can't put that on there, right Yeah. Absolutely, Well, 1987 01:45:44,080 --> 01:45:47,200 Speaker 2: now that we're ten hours into this episode, thank you 1988 01:45:47,200 --> 01:45:49,799 Speaker 2: guys so much. We'll see you next week. Don't forget 1989 01:45:49,840 --> 01:45:52,840 Speaker 2: to visit Doramodern dot shop to check out the count 1990 01:45:52,840 --> 01:45:54,600 Speaker 2: I mean, it's only a countdown right now, but you 1991 01:45:54,640 --> 01:45:57,960 Speaker 2: could add it to your calendar and you know, you 1992 01:45:58,000 --> 01:46:02,000 Speaker 2: get a little preview hint of this sick merched very cozy. 1993 01:46:02,040 --> 01:46:05,040 Speaker 2: So I'm gonna export this on the boardwalk tonight and 1994 01:46:05,080 --> 01:46:08,320 Speaker 2: see what people think exactly. And we're so so so 1995 01:46:08,560 --> 01:46:10,760 Speaker 2: excited to go to crime Con and we can't meet 1996 01:46:10,800 --> 01:46:13,200 Speaker 2: wait to meet you guys. So we'll have more information 1997 01:46:13,280 --> 01:46:15,360 Speaker 2: coming out about that over the next couple of weeks 1998 01:46:15,400 --> 01:46:18,360 Speaker 2: and we hope you guys have a good weekend. Siyah, 1999 01:46:22,400 --> 01:46:26,240 Speaker 2: thank you for listening to mother nos death. As a reminder, 2000 01:46:26,439 --> 01:46:30,240 Speaker 2: my training is as a pathologists assistant. I have a 2001 01:46:30,240 --> 01:46:34,599 Speaker 2: master's level education and specialize in anatomy and pathology education. 2002 01:46:35,720 --> 01:46:37,880 Speaker 2: I am not a doctor and I have not diagnosed 2003 01:46:38,000 --> 01:46:41,600 Speaker 2: or treated anyone dead or alive without the assistance of 2004 01:46:41,640 --> 01:46:46,879 Speaker 2: a licensed medical doctor. This show, my website, and social 2005 01:46:46,920 --> 01:46:50,439 Speaker 2: media accounts are designed to educate and inform people based 2006 01:46:50,479 --> 01:46:54,400 Speaker 2: on my experience working in pathology, so they can make 2007 01:46:54,600 --> 01:46:59,280 Speaker 2: healthier decisions regarding their life and well being. Always remember 2008 01:46:59,280 --> 01:47:02,400 Speaker 2: that science is changing every day, and the opinions expressed 2009 01:47:02,439 --> 01:47:05,080 Speaker 2: in this episode are based on my knowledge of those 2010 01:47:05,120 --> 01:47:08,920 Speaker 2: subjects at the time of publication. If you are having 2011 01:47:08,920 --> 01:47:12,920 Speaker 2: a medical problem, have a medical question, or having a 2012 01:47:12,920 --> 01:47:17,280 Speaker 2: medical emergency, please contact your physician or visit an urgent 2013 01:47:17,320 --> 01:47:22,320 Speaker 2: care center, emergency room, or hospital. Please rate, review, and 2014 01:47:22,400 --> 01:47:26,920 Speaker 2: subscribe to Mother Knows Death on Apple, Spotify, YouTube, or 2015 01:47:26,960 --> 01:47:36,520 Speaker 2: anywhere you get podcasts. Thanks