1 00:00:08,119 --> 00:00:21,040 Speaker 1: Mother Knows Death starring Nicole and Jenny and Maria qk Hi. 2 00:00:21,079 --> 00:00:23,760 Speaker 2: Everyone welcome The Mother Knows Death. Let's get started with the. 3 00:00:23,720 --> 00:00:26,799 Speaker 1: Story of the week in Kentucky a couple of years ago, 4 00:00:26,920 --> 00:00:29,639 Speaker 1: this man had overdosed on drugs and his family brought 5 00:00:29,680 --> 00:00:33,120 Speaker 1: him to the hospital. So shortly after arriving, the doctors 6 00:00:33,120 --> 00:00:36,000 Speaker 1: told his relatives that he lacked any reflexes or brain 7 00:00:36,080 --> 00:00:38,640 Speaker 1: activity and they had to make the really difficult decision 8 00:00:38,680 --> 00:00:41,440 Speaker 1: to take him off of life support. So the doctors 9 00:00:41,440 --> 00:00:43,800 Speaker 1: then told the family that he had requested to be 10 00:00:43,960 --> 00:00:46,519 Speaker 1: an organ donor upon his death. Can you explain that 11 00:00:46,640 --> 00:00:49,920 Speaker 1: process for everybody between you know, a patient dying and 12 00:00:49,960 --> 00:00:53,960 Speaker 1: then them getting their organs harvested, Well. 13 00:00:53,760 --> 00:00:58,160 Speaker 2: You can opt into being So we have this system 14 00:00:58,720 --> 00:01:01,480 Speaker 2: that's different than a lot of other countries, which is, 15 00:01:02,080 --> 00:01:05,640 Speaker 2: no one in America is an organ donor unless you 16 00:01:05,800 --> 00:01:08,520 Speaker 2: decide that you want to be an organ donor, or 17 00:01:08,560 --> 00:01:11,160 Speaker 2: your family decides if they want to donate your organs. 18 00:01:11,560 --> 00:01:14,240 Speaker 2: So I know a lot of you have probably had 19 00:01:14,280 --> 00:01:16,480 Speaker 2: that question asked to you when you're getting your driver's 20 00:01:16,520 --> 00:01:20,399 Speaker 2: license and or some kind of legal documentation like that. 21 00:01:20,959 --> 00:01:23,360 Speaker 2: So he probably had it on his driver's license that 22 00:01:23,400 --> 00:01:26,720 Speaker 2: he wanted to be an organ donor, so don't ask 23 00:01:26,840 --> 00:01:29,400 Speaker 2: the family. Then you know he wanted to be an 24 00:01:29,520 --> 00:01:33,400 Speaker 2: organ donor, would you consider donating his organs? And then 25 00:01:33,560 --> 00:01:36,960 Speaker 2: the family agreed to it. So the next process is 26 00:01:37,000 --> 00:01:40,600 Speaker 2: that they're going to see if these organs are good 27 00:01:40,720 --> 00:01:45,040 Speaker 2: enough to be transplanted into a person that needs them. Now, 28 00:01:45,560 --> 00:01:48,920 Speaker 2: in America alone, there are over one hundred thousand people 29 00:01:48,960 --> 00:01:54,080 Speaker 2: that are on this transplant list for various different organs, livers, hearts, kidneys. 30 00:01:54,560 --> 00:01:57,160 Speaker 2: So a lot of people need an organ, and I 31 00:01:57,240 --> 00:01:59,280 Speaker 2: do hear a lot of people asking the question, well, 32 00:01:59,280 --> 00:02:01,640 Speaker 2: this person was was a drug addict, why would you 33 00:02:01,680 --> 00:02:05,160 Speaker 2: want their organs? But if their organ works fine and 34 00:02:05,200 --> 00:02:07,240 Speaker 2: you have one that's failing and you're going to die 35 00:02:07,320 --> 00:02:10,200 Speaker 2: because of it, you will take an organ from someone, right. 36 00:02:10,760 --> 00:02:14,480 Speaker 2: So part of the procedure is that they have to 37 00:02:14,560 --> 00:02:17,560 Speaker 2: biop see the organs to make sure that they look 38 00:02:17,600 --> 00:02:20,080 Speaker 2: good under the microscope, they look healthy and viable and 39 00:02:20,120 --> 00:02:22,120 Speaker 2: that they're going to last inside of the person that 40 00:02:22,160 --> 00:02:26,840 Speaker 2: they're going to transplant them into. And so that's how 41 00:02:26,880 --> 00:02:29,040 Speaker 2: they figure out if these organs are good or not 42 00:02:29,120 --> 00:02:30,960 Speaker 2: because a lot of times people say they want to 43 00:02:31,080 --> 00:02:33,280 Speaker 2: donate their organs, and let's say they die from a 44 00:02:33,320 --> 00:02:35,800 Speaker 2: really bad infection or something, and they say, okay, we 45 00:02:35,800 --> 00:02:37,840 Speaker 2: don't want to use your organ or cancer or something 46 00:02:37,919 --> 00:02:42,600 Speaker 2: like that. So the next process, unfortunately is a little 47 00:02:42,639 --> 00:02:47,200 Speaker 2: bit morbid. But once a person is declared brain dead, 48 00:02:48,000 --> 00:02:51,120 Speaker 2: they're still kept alive on the machine, which means that 49 00:02:51,160 --> 00:02:53,760 Speaker 2: their heart is still beating just because the machine is 50 00:02:53,800 --> 00:02:56,440 Speaker 2: doing it. Their body isn't doing it anymore because they're 51 00:02:56,440 --> 00:02:59,800 Speaker 2: technically considered dead, okay, And then that's how they have 52 00:02:59,840 --> 00:03:04,240 Speaker 2: to harvest the organs, because if they allow oxygen to 53 00:03:04,280 --> 00:03:06,240 Speaker 2: stop going into the heart, it's going to be the 54 00:03:06,240 --> 00:03:08,200 Speaker 2: same effect as like a heart attack or something. There's 55 00:03:08,200 --> 00:03:10,040 Speaker 2: going to be death to the heart muscle and it 56 00:03:10,080 --> 00:03:13,000 Speaker 2: won't be good anymore. So they keep the blood pumping 57 00:03:13,040 --> 00:03:15,519 Speaker 2: through it so it's good to take out for a transplant. 58 00:03:16,280 --> 00:03:19,160 Speaker 1: So about an hour later, after he goes back into 59 00:03:19,160 --> 00:03:22,480 Speaker 1: this surgery to have his organs harvested, the doctor comes 60 00:03:22,480 --> 00:03:26,080 Speaker 1: out and tells his sister that he's quote not ready yet. 61 00:03:26,600 --> 00:03:29,880 Speaker 2: So I think what happened this is because I know 62 00:03:29,919 --> 00:03:32,720 Speaker 2: that the articles have been worded a little weird. I 63 00:03:32,760 --> 00:03:35,960 Speaker 2: think they declared him dead. They said, well, he'd be 64 00:03:36,000 --> 00:03:39,240 Speaker 2: an organ donor. Yes, okay, So they were taking him 65 00:03:39,320 --> 00:03:42,440 Speaker 2: out of the room in order to do that first procedure. 66 00:03:42,440 --> 00:03:44,680 Speaker 2: I was saying, to buy up see the organs. In 67 00:03:44,720 --> 00:03:46,480 Speaker 2: this case, they were trying to take his heart. So 68 00:03:46,520 --> 00:03:49,840 Speaker 2: they were doing a cardiac cathorization, which is when they 69 00:03:49,880 --> 00:03:52,440 Speaker 2: go through an artery in the leg and they can 70 00:03:52,480 --> 00:03:55,040 Speaker 2: go up there and take a little tiny piece or 71 00:03:55,040 --> 00:03:57,200 Speaker 2: a little bite out of the heart and look at 72 00:03:57,200 --> 00:03:59,640 Speaker 2: it under the microscope to see if the heart muscle's good. 73 00:04:00,800 --> 00:04:03,360 Speaker 2: As he was being wheeled to this room back there, 74 00:04:03,840 --> 00:04:07,440 Speaker 2: the sister said that his eyes were following her as 75 00:04:07,480 --> 00:04:11,160 Speaker 2: if he was still alert and awake. They and they 76 00:04:11,240 --> 00:04:14,280 Speaker 2: assured her that he was having reflexes. So when he 77 00:04:14,320 --> 00:04:17,240 Speaker 2: went in and got the cardiac caf now, according to witnesses, 78 00:04:17,680 --> 00:04:20,720 Speaker 2: they said that he was very much alive and thrusting 79 00:04:20,760 --> 00:04:23,760 Speaker 2: on the table when he was getting that procedure done. 80 00:04:24,400 --> 00:04:28,520 Speaker 2: So that's the first alarm. And then I guess some 81 00:04:28,640 --> 00:04:30,839 Speaker 2: people blew it off or they just thought that it 82 00:04:30,920 --> 00:04:32,880 Speaker 2: wasn't that big of a deal, And then they decided 83 00:04:32,880 --> 00:04:34,240 Speaker 2: that they were going to go in to try to 84 00:04:34,279 --> 00:04:37,120 Speaker 2: harvest the organs. But it was at that time that 85 00:04:37,200 --> 00:04:39,800 Speaker 2: the transplant surgeons were like, I'm not touching this dude. 86 00:04:40,200 --> 00:04:43,680 Speaker 1: Yeah, I mean so essentially, he was awake when this 87 00:04:43,880 --> 00:04:46,360 Speaker 1: was all going down, right, but couldn't do anything. 88 00:04:46,720 --> 00:04:49,320 Speaker 2: He seemed to be semi conscious. They even said that 89 00:04:49,360 --> 00:04:52,440 Speaker 2: he was crying, which is so terrible. 90 00:04:52,680 --> 00:04:55,880 Speaker 1: It's horrible. So after all of this goes down, they 91 00:04:55,920 --> 00:04:58,599 Speaker 1: go back to the sister and they're like, Okay, like 92 00:04:58,680 --> 00:05:01,600 Speaker 1: he is actually a so you're gonna take him home 93 00:05:01,720 --> 00:05:04,880 Speaker 1: and make sure he's comfortable, but understand that he's probably 94 00:05:04,920 --> 00:05:07,960 Speaker 1: not going to live much longer. She has been caring 95 00:05:08,000 --> 00:05:10,760 Speaker 1: for him for three years since this happened. 96 00:05:11,240 --> 00:05:12,080 Speaker 2: He's still alive. 97 00:05:12,400 --> 00:05:14,960 Speaker 1: He's still alive. So she's been caring for him for 98 00:05:14,960 --> 00:05:17,480 Speaker 1: three years, and she didn't find out all the details 99 00:05:17,480 --> 00:05:20,479 Speaker 1: of exactly what went down until earlier this year when 100 00:05:20,480 --> 00:05:23,520 Speaker 1: a hospital employee contacted her and told her exactly what 101 00:05:23,600 --> 00:05:27,159 Speaker 1: happened behind the scenes. So this story just makes me 102 00:05:27,240 --> 00:05:30,200 Speaker 1: sad for many reasons. It's like, you're living through you 103 00:05:30,200 --> 00:05:33,560 Speaker 1: know this already trauma, thinking that your sibling has died, 104 00:05:33,880 --> 00:05:37,160 Speaker 1: and then all of a sudden they undergo this horrific, 105 00:05:37,640 --> 00:05:40,800 Speaker 1: horrific experience at the hospital and then you bring them 106 00:05:40,839 --> 00:05:42,920 Speaker 1: home and they end up living all this time, and 107 00:05:43,279 --> 00:05:46,400 Speaker 1: it's not like he's totally back to normal. He's not 108 00:05:46,520 --> 00:05:47,320 Speaker 1: in great shape. 109 00:05:48,080 --> 00:05:50,520 Speaker 2: Well, this reminds me of a story that we talked 110 00:05:50,520 --> 00:05:54,640 Speaker 2: about back in May of this year, or maybe even 111 00:05:54,760 --> 00:05:56,719 Speaker 2: was it. Yeah, it was on May twenty, first episode 112 00:05:56,760 --> 00:05:58,320 Speaker 2: that we talked about it. It was the first thing 113 00:05:58,360 --> 00:06:00,600 Speaker 2: I thought of. Do you remember that there was a 114 00:06:00,640 --> 00:06:04,080 Speaker 2: study done that said that we might want to consider 115 00:06:04,360 --> 00:06:06,720 Speaker 2: waiting a little bit longer to take people off life 116 00:06:06,760 --> 00:06:10,640 Speaker 2: support because there's people that survive being on life support. 117 00:06:11,200 --> 00:06:15,240 Speaker 2: And it was really really addressed it, like very very 118 00:06:15,240 --> 00:06:19,160 Speaker 2: striking study that said that they compared all of these 119 00:06:19,240 --> 00:06:23,640 Speaker 2: patients and most of them ended up dying after they 120 00:06:23,640 --> 00:06:26,160 Speaker 2: were taken off of life support, right, but they said 121 00:06:26,200 --> 00:06:29,680 Speaker 2: forty two percent who stayed on life support recovered enough 122 00:06:29,720 --> 00:06:33,000 Speaker 2: that they had some degree of independence and even returned 123 00:06:33,040 --> 00:06:34,000 Speaker 2: to their former lives. 124 00:06:34,480 --> 00:06:37,600 Speaker 1: So is so high, I know. 125 00:06:37,880 --> 00:06:42,280 Speaker 2: So it's it's like, it is scary because if they 126 00:06:42,320 --> 00:06:44,719 Speaker 2: would have just taken him off of life support and 127 00:06:44,839 --> 00:06:48,279 Speaker 2: didn't keep him alive to harvest his organs, he'd be dead, 128 00:06:49,000 --> 00:06:50,480 Speaker 2: you know what I mean, Because they would have taken 129 00:06:50,520 --> 00:06:52,800 Speaker 2: them off the machines that were keeping them alive during 130 00:06:52,839 --> 00:06:57,240 Speaker 2: that time. I don't so I can't really say exactly 131 00:06:57,320 --> 00:07:00,839 Speaker 2: one hundred percent because obviously I deal with patients that 132 00:07:00,920 --> 00:07:04,159 Speaker 2: don't have a heartbeat. I don't understand the whole process 133 00:07:04,240 --> 00:07:07,000 Speaker 2: to a certain extent. I've been on the lab side 134 00:07:07,080 --> 00:07:10,240 Speaker 2: of organ transplant, getting the biopsies in the lab and 135 00:07:10,360 --> 00:07:13,600 Speaker 2: being associated with that and doing autopsies on people who've 136 00:07:13,640 --> 00:07:16,440 Speaker 2: had harvesting and stuff. I don't know what the exact 137 00:07:16,520 --> 00:07:20,640 Speaker 2: procedure is to declare somebody dead. Clearly, whatever they did 138 00:07:20,680 --> 00:07:24,480 Speaker 2: in this hospital didn't work. But I would like to 139 00:07:24,560 --> 00:07:30,600 Speaker 2: strongly reiterate that organ harvesting is ninety nine percent of 140 00:07:30,600 --> 00:07:33,240 Speaker 2: the time a really good thing. And there's one hundred 141 00:07:33,360 --> 00:07:37,440 Speaker 2: thousand people that need organs right now, and these kinds 142 00:07:37,440 --> 00:07:39,800 Speaker 2: of stories like scare the shit out of people and 143 00:07:39,840 --> 00:07:43,040 Speaker 2: then they don't want to be an organ donor. I mean, 144 00:07:43,720 --> 00:07:46,600 Speaker 2: which makes sense because it really does sound horrific. But 145 00:07:47,080 --> 00:07:50,240 Speaker 2: I think this is just like a freak once in 146 00:07:50,280 --> 00:07:53,000 Speaker 2: a while circumstance. 147 00:07:53,680 --> 00:07:55,520 Speaker 1: You know, I can see that, and you know, the 148 00:07:55,560 --> 00:07:58,400 Speaker 1: hospital saying that it's not true, it didn't go down 149 00:07:58,440 --> 00:08:00,720 Speaker 1: this way, But of course, with the claim and the 150 00:08:00,720 --> 00:08:03,520 Speaker 1: employee coming forward, they have to investigate what happened. 151 00:08:04,000 --> 00:08:06,320 Speaker 2: Well, you have to think that there's a whole entire 152 00:08:06,360 --> 00:08:11,480 Speaker 2: team behind an organ donation, and if this was happening, 153 00:08:11,480 --> 00:08:14,200 Speaker 2: more often you would hear about it because anybody that 154 00:08:14,280 --> 00:08:17,200 Speaker 2: works an organ donation wants to help people who are 155 00:08:17,240 --> 00:08:19,600 Speaker 2: alive continue living with people that are dead that no 156 00:08:19,640 --> 00:08:24,480 Speaker 2: longer need their organs. Nobody's trying to hurt anybody, and 157 00:08:24,480 --> 00:08:27,760 Speaker 2: people wouldn't brush this under the rug. Ever, So the 158 00:08:28,160 --> 00:08:31,200 Speaker 2: fact that this doctor or this nurse, these people that 159 00:08:31,240 --> 00:08:33,920 Speaker 2: were coming out are kind of whistleblowers in this situation. 160 00:08:34,880 --> 00:08:37,800 Speaker 2: It would be happening all the time if it was happening. So, 161 00:08:38,160 --> 00:08:41,960 Speaker 2: I mean, I'm still an organ donor. This story sucks, 162 00:08:42,000 --> 00:08:44,560 Speaker 2: but I just think it's just like a freak thing 163 00:08:44,679 --> 00:08:47,080 Speaker 2: and it's not the norm. That's all I want to say. 164 00:08:47,360 --> 00:08:50,160 Speaker 1: Yeah, And it doesn't help because I feel like we get, 165 00:08:50,320 --> 00:08:53,240 Speaker 1: you know, questions a lot of the time saying there's 166 00:08:53,280 --> 00:08:56,160 Speaker 1: this grand conspiracy, like is it true at the hospital 167 00:08:56,200 --> 00:08:58,160 Speaker 1: that they don't help you if you're an organ donor 168 00:08:58,160 --> 00:09:01,520 Speaker 1: and all this. I think that this story isn't helping 169 00:09:01,559 --> 00:09:04,520 Speaker 1: that cause. But you need to understand that donating your 170 00:09:04,640 --> 00:09:07,280 Speaker 1: organs can still be such a positive thing. And we 171 00:09:07,360 --> 00:09:09,920 Speaker 1: actually have an incredible story later on in this episode 172 00:09:09,960 --> 00:09:13,640 Speaker 1: about how it changed somebody's entire life, well two people's lives, really. 173 00:09:13,440 --> 00:09:17,480 Speaker 2: So and I personally know someone that had two heart 174 00:09:17,480 --> 00:09:21,920 Speaker 2: transplants and it allowed him to live an extra ten 175 00:09:22,000 --> 00:09:24,280 Speaker 2: years of his life. And it's just I think that 176 00:09:24,360 --> 00:09:27,400 Speaker 2: it's a really great thing. It just sucks that something 177 00:09:27,480 --> 00:09:29,959 Speaker 2: like this had to go down. But just because of 178 00:09:30,000 --> 00:09:32,320 Speaker 2: the other study that I talked about, I think that 179 00:09:33,280 --> 00:09:36,880 Speaker 2: maybe we want to start re evaluating what is the 180 00:09:36,920 --> 00:09:40,880 Speaker 2: criteria for determining that somebody is brain dead, or how 181 00:09:40,880 --> 00:09:44,240 Speaker 2: long they should be evaluated or taken off life support 182 00:09:44,320 --> 00:09:47,040 Speaker 2: after they're considered brain dead. I don't know about all 183 00:09:47,040 --> 00:09:49,840 Speaker 2: that stuff, like I said, but I think that maybe 184 00:09:49,920 --> 00:09:53,600 Speaker 2: if that stuff was reevaluated, that might make people feel 185 00:09:53,640 --> 00:09:55,600 Speaker 2: a little bit more comfortable about the process. 186 00:09:55,760 --> 00:10:00,800 Speaker 1: Yeah. Absolutely, Okay, let's get onto some celebrity. So we 187 00:10:00,840 --> 00:10:03,320 Speaker 1: have some updates about Liam Payne. So last week we 188 00:10:03,400 --> 00:10:06,200 Speaker 1: had reported that the One Direction singer had died after 189 00:10:06,320 --> 00:10:10,160 Speaker 1: unfortunately falling over his balcony at his hotel room, falling 190 00:10:10,200 --> 00:10:13,520 Speaker 1: to his death. So the preliminary autopsy findings are in 191 00:10:13,679 --> 00:10:15,120 Speaker 1: and what did they say exactly? 192 00:10:15,920 --> 00:10:19,520 Speaker 2: So the bottom line is that his cause of death 193 00:10:19,679 --> 00:10:23,559 Speaker 2: was due to multiple traumas associated with a fall, particularly 194 00:10:23,600 --> 00:10:26,960 Speaker 2: a head injury that damaged his skull and brain to 195 00:10:27,000 --> 00:10:30,600 Speaker 2: the point where he wouldn't have survived. Even with the 196 00:10:30,640 --> 00:10:34,400 Speaker 2: other injuries that contributed, the head injury was the most significant. 197 00:10:34,720 --> 00:10:37,560 Speaker 2: So now the question is, with the further information that's 198 00:10:37,600 --> 00:10:40,880 Speaker 2: coming out, is well, what caused him to fall off 199 00:10:40,920 --> 00:10:43,839 Speaker 2: of the balcony, So it could be was it an 200 00:10:43,880 --> 00:10:47,360 Speaker 2: accident just he was totally sober up there, leaned back, 201 00:10:47,440 --> 00:10:52,280 Speaker 2: fell backwards, right? Did someone push him over? Did he 202 00:10:52,320 --> 00:10:55,280 Speaker 2: have any enemies, any threats against his life anything like that? 203 00:10:55,920 --> 00:10:57,000 Speaker 1: Was he suicidal? 204 00:10:57,040 --> 00:11:00,480 Speaker 2: Did he have suicidal ideations, the history of depression, any 205 00:11:00,520 --> 00:11:03,800 Speaker 2: reasoned that he would want to kill himself? And did 206 00:11:03,840 --> 00:11:07,400 Speaker 2: he jump as opposed to fall? And then another accidental 207 00:11:07,400 --> 00:11:11,280 Speaker 2: situation would be was he so highly intoxicated that he 208 00:11:11,440 --> 00:11:15,360 Speaker 2: fell over the edge? Which is where I'm leaning at 209 00:11:15,360 --> 00:11:16,079 Speaker 2: this point. 210 00:11:16,400 --> 00:11:20,679 Speaker 1: Yeah, I mean, we did a really, really thoroughly detailed 211 00:11:20,720 --> 00:11:23,960 Speaker 1: dissection about this in the gross room yesterday where we 212 00:11:24,080 --> 00:11:27,280 Speaker 1: kind of outlined everything circumstantially leading up to this point, 213 00:11:27,320 --> 00:11:29,680 Speaker 1: he had a lot going on, especially in the couple 214 00:11:29,800 --> 00:11:32,400 Speaker 1: weeks leading up to his death, was his record label 215 00:11:32,480 --> 00:11:36,480 Speaker 1: dropping him, his ex fiance coming out with allegations of abuse. 216 00:11:37,080 --> 00:11:39,800 Speaker 1: You know, there was all this weird tension between the 217 00:11:39,880 --> 00:11:42,880 Speaker 1: band members. Now we know that he had this substance 218 00:11:42,920 --> 00:11:46,200 Speaker 1: called pink cocaine in his system. All the toxicology reports 219 00:11:46,240 --> 00:11:48,800 Speaker 1: are coming out, so I guess we know from his 220 00:11:48,880 --> 00:11:51,440 Speaker 1: behavior and now confirmed in the autopsy report that he 221 00:11:51,520 --> 00:11:54,839 Speaker 1: was certainly intoxicated. I also read in a couple of 222 00:11:54,880 --> 00:11:57,839 Speaker 1: news outlets that there were potentially rumors he was trying 223 00:11:57,880 --> 00:12:00,800 Speaker 1: to jump in the pool from his balcony. We were 224 00:12:00,840 --> 00:12:03,640 Speaker 1: looking at the pictures yesterday, we were like, the pool 225 00:12:03,720 --> 00:12:04,720 Speaker 1: is kind of nowhere near. 226 00:12:05,000 --> 00:12:08,600 Speaker 2: That's not somebody just said that that is absolutely not true. Yea, 227 00:12:08,679 --> 00:12:10,520 Speaker 2: I just I don't even want to hear that. Like 228 00:12:10,800 --> 00:12:14,560 Speaker 2: when the investigator said that his the way in the 229 00:12:14,559 --> 00:12:17,880 Speaker 2: position that his body was found was that he did 230 00:12:17,920 --> 00:12:21,200 Speaker 2: not They believe that he was in either a semi 231 00:12:21,280 --> 00:12:24,840 Speaker 2: unconscious or an unconscious state because he did not appear 232 00:12:24,880 --> 00:12:29,400 Speaker 2: to use his reflexes when he fell. So either if 233 00:12:29,440 --> 00:12:32,360 Speaker 2: you jump, so if you jump, common injuries that you 234 00:12:32,360 --> 00:12:34,920 Speaker 2: would see in a suicide jumper will be injuries to 235 00:12:35,440 --> 00:12:38,640 Speaker 2: the feet, and that's because they tried to. It's just 236 00:12:38,679 --> 00:12:41,400 Speaker 2: an instinct. It's a human instinct when you're about to 237 00:12:41,400 --> 00:12:44,360 Speaker 2: get hurt that you try to brace yourself if you fall, 238 00:12:44,440 --> 00:12:46,079 Speaker 2: you try to put your arms out so you don't 239 00:12:46,160 --> 00:12:48,280 Speaker 2: hurt yourself. And you know that just from living life 240 00:12:48,360 --> 00:12:51,800 Speaker 2: like that's that's a human instinct. So when he looks 241 00:12:51,880 --> 00:12:54,920 Speaker 2: like he didn't do any of that, he just fell 242 00:12:55,000 --> 00:12:57,880 Speaker 2: like dead weight from the balcony, that makes me think 243 00:12:57,920 --> 00:13:00,640 Speaker 2: that he was so impaired that he had had no 244 00:13:00,760 --> 00:13:05,080 Speaker 2: idea what was happening, and even if he did intentionally jump, 245 00:13:05,400 --> 00:13:07,400 Speaker 2: he was too out of his mind to even though 246 00:13:07,400 --> 00:13:08,079 Speaker 2: what he was doing. 247 00:13:08,600 --> 00:13:11,400 Speaker 1: Yeah, I mean, this entire story is really sad. He 248 00:13:11,480 --> 00:13:14,679 Speaker 1: had a history of substance abuse issues and we talked 249 00:13:14,679 --> 00:13:17,960 Speaker 1: about his issues with suicidal ideation in the past too, 250 00:13:18,000 --> 00:13:20,400 Speaker 1: So of course everybody wants to jump to that conclusion, 251 00:13:20,679 --> 00:13:22,480 Speaker 1: but you really just don't know what's going on, and 252 00:13:22,520 --> 00:13:25,360 Speaker 1: the investigation is still ongoing, so there's so much more 253 00:13:25,400 --> 00:13:26,800 Speaker 1: information that could come out about. 254 00:13:26,960 --> 00:13:30,240 Speaker 2: Yes, I'm not saying that he's not suicidal, because he 255 00:13:30,440 --> 00:13:32,840 Speaker 2: probably was, and he was going through a lot of 256 00:13:32,840 --> 00:13:36,160 Speaker 2: heavy stuff, but he was deciding to use substances to 257 00:13:37,600 --> 00:13:42,080 Speaker 2: help him cope with that, And especially that pink cocaine 258 00:13:42,160 --> 00:13:45,160 Speaker 2: stuff is just like ecstasy mixed with cocaine. It's like 259 00:13:45,240 --> 00:13:48,840 Speaker 2: all these drugs mixed together, stimulants and depressants. He could 260 00:13:48,880 --> 00:13:52,760 Speaker 2: have been having psychosis and just not really fully aware 261 00:13:52,920 --> 00:13:56,560 Speaker 2: of what he was doing and felt. I mean, he 262 00:13:56,720 --> 00:14:02,719 Speaker 2: was acting out in the hotel for hours beforehand, just erratically. 263 00:14:03,040 --> 00:14:05,040 Speaker 2: It looked like he punched a TV in his room. 264 00:14:05,520 --> 00:14:07,480 Speaker 2: There were reports that he was reading an email and 265 00:14:07,520 --> 00:14:10,800 Speaker 2: started yelling like there was clearly something going on mentally 266 00:14:10,840 --> 00:14:14,720 Speaker 2: with him, but it was probably more caused by the 267 00:14:14,760 --> 00:14:16,000 Speaker 2: drugs he was taking, you know. 268 00:14:16,280 --> 00:14:19,520 Speaker 1: Yeah, I forget who it was exactly. Another celebrity came 269 00:14:19,560 --> 00:14:22,120 Speaker 1: out last night and said that they had done that 270 00:14:22,160 --> 00:14:25,760 Speaker 1: pink cocaine before and they experienced severe hallucinations while on 271 00:14:25,840 --> 00:14:28,800 Speaker 1: the drugs. So yeah, that's definitely interesting to think about. 272 00:14:28,880 --> 00:14:31,520 Speaker 1: And now I saw that and employees being looked at 273 00:14:31,520 --> 00:14:34,680 Speaker 1: for possibly providing him with the drugs, So I think 274 00:14:34,720 --> 00:14:36,760 Speaker 1: a lot more is gonna come out about this, But 275 00:14:36,920 --> 00:14:40,560 Speaker 1: it's just really sad to see somebody so young, you 276 00:14:40,600 --> 00:14:44,480 Speaker 1: know to have something this tragic happened. Yeah, all right, 277 00:14:44,560 --> 00:14:47,520 Speaker 1: let's get onto the next story. So Juliana Manfrini, she 278 00:14:47,720 --> 00:14:51,040 Speaker 1: is a surfing influencer. So she was at this popular 279 00:14:51,080 --> 00:14:54,280 Speaker 1: surfing spot at an island in Indonesia and as she 280 00:14:54,360 --> 00:14:57,520 Speaker 1: was in the water, this swordfish just suddenly emerged and 281 00:14:57,680 --> 00:15:00,200 Speaker 1: charged at her and punctured her in the chest. 282 00:15:00,760 --> 00:15:03,440 Speaker 2: Yeah, I mean this sucks. This happened to Steve Irwin, 283 00:15:03,560 --> 00:15:07,080 Speaker 2: remember when he got impelled in the chest by a stingray. 284 00:15:07,440 --> 00:15:11,560 Speaker 2: Different kind of situation because a stingray has a barb 285 00:15:11,680 --> 00:15:14,520 Speaker 2: which can put toxins into the body. I still think 286 00:15:14,560 --> 00:15:17,040 Speaker 2: they were killed in the same way because they both 287 00:15:17,080 --> 00:15:22,120 Speaker 2: died pretty suddenly after being injured. It's a swordfish. It's 288 00:15:22,160 --> 00:15:24,640 Speaker 2: literally like stabbing someone in the chest with the sword. 289 00:15:24,680 --> 00:15:28,800 Speaker 2: That's what happened. The swordfish bill is a bone that 290 00:15:28,840 --> 00:15:31,280 Speaker 2: comes off at the top of their It's like their 291 00:15:31,320 --> 00:15:34,960 Speaker 2: nasal bone kind of. So yeah, a very sharp bone 292 00:15:35,320 --> 00:15:40,280 Speaker 2: that went through her chest and punctured as an artery 293 00:15:40,440 --> 00:15:43,240 Speaker 2: or the heart itself and caused a massive internal bleed. 294 00:15:43,960 --> 00:15:45,800 Speaker 1: It's just crazy because I feel like when we hear 295 00:15:45,800 --> 00:15:48,840 Speaker 1: about surfing accidents, we're always hearing about sharks or like 296 00:15:48,920 --> 00:15:50,920 Speaker 1: there was a surfer last month I think hit his 297 00:15:50,960 --> 00:15:53,440 Speaker 1: head on something when he was surfing and died. I've 298 00:15:53,440 --> 00:15:56,480 Speaker 1: never heard about this swordfish act. It wasn't even on 299 00:15:56,520 --> 00:15:57,760 Speaker 1: my radar to think about it. 300 00:15:58,360 --> 00:16:02,200 Speaker 2: Yeah, it's just it's such a and I guess I 301 00:16:02,200 --> 00:16:05,480 Speaker 2: don't know much about sea animals, but I'm assuming that 302 00:16:05,640 --> 00:16:08,960 Speaker 2: it uses that in a similar way to kill an 303 00:16:08,960 --> 00:16:12,400 Speaker 2: animal to eat it, right, Yeah, I mean so it 304 00:16:12,520 --> 00:16:16,160 Speaker 2: probably just mistaken her for its food. It was the 305 00:16:16,200 --> 00:16:19,040 Speaker 2: same thing that sharks do, right. Yeah, It's just it's 306 00:16:19,920 --> 00:16:24,240 Speaker 2: a tragic accident, you know. Yeah, absolutely, Okay, let's talk 307 00:16:24,280 --> 00:16:26,280 Speaker 2: about some other freak accidents. 308 00:16:26,760 --> 00:16:29,880 Speaker 1: Around nine thirty on Saturday night, police got a call 309 00:16:29,880 --> 00:16:33,040 Speaker 1: about this quote sudden death that happened at this Walmart 310 00:16:33,080 --> 00:16:36,160 Speaker 1: in Nova Scotia. So when they got there, they discovered 311 00:16:36,160 --> 00:16:39,160 Speaker 1: that this nineteen year old employee had died. And although 312 00:16:39,160 --> 00:16:41,760 Speaker 1: they're not really confirming what happened yet, we know that 313 00:16:41,880 --> 00:16:45,720 Speaker 1: a quote large baking oven was involved. And according to 314 00:16:45,760 --> 00:16:47,920 Speaker 1: our listener who sent this into us, who lives in 315 00:16:48,000 --> 00:16:50,360 Speaker 1: Nova Scotia and is local to where this is happening, 316 00:16:50,680 --> 00:16:52,960 Speaker 1: word on the street is that this employee was locked 317 00:16:52,960 --> 00:16:55,880 Speaker 1: inside of an industrial oven that was baking bread. 318 00:16:56,720 --> 00:16:59,320 Speaker 2: How big is an industrial oven? It's something that you 319 00:16:59,360 --> 00:17:00,720 Speaker 2: could walk in like that. 320 00:17:01,920 --> 00:17:04,840 Speaker 1: This is where I'm really like, I don't understand what's 321 00:17:04,840 --> 00:17:07,679 Speaker 1: going on because I'm thinking of standard convection of inns 322 00:17:07,800 --> 00:17:11,359 Speaker 1: and they're not walk in, So I'm like, was she 323 00:17:11,600 --> 00:17:14,880 Speaker 1: shoved in one? It's possible you could fit a body 324 00:17:15,000 --> 00:17:15,920 Speaker 1: in one if it was. 325 00:17:16,720 --> 00:17:20,560 Speaker 2: For it like laying down right, because isn't I'm thinking 326 00:17:20,600 --> 00:17:23,720 Speaker 2: about the thing at at the at the bread bat. 327 00:17:24,400 --> 00:17:27,760 Speaker 2: Yeah that it's that great that moves and that goes in, 328 00:17:27,840 --> 00:17:30,160 Speaker 2: but someone would have to be laying on it correct. 329 00:17:30,320 --> 00:17:32,000 Speaker 1: Yeah, Like in my head that's. 330 00:17:31,880 --> 00:17:35,200 Speaker 2: Something you could accidentally. I don't know, Like anything's possible. 331 00:17:35,200 --> 00:17:37,520 Speaker 2: We know that from this show, right, Yeah, this is 332 00:17:37,680 --> 00:17:39,840 Speaker 2: this is what they're going to do. They're going to 333 00:17:39,840 --> 00:17:41,600 Speaker 2: bring your body and they're going to do an autopsy 334 00:17:41,680 --> 00:17:43,360 Speaker 2: and they're going to figure out what happened. Because there's 335 00:17:43,359 --> 00:17:46,560 Speaker 2: so many scenarios. It could be she died of natural causes, 336 00:17:46,600 --> 00:17:49,280 Speaker 2: which I would say probably not. This would be more 337 00:17:49,320 --> 00:17:52,960 Speaker 2: common in an older person had a heart attack, cleaning 338 00:17:53,000 --> 00:17:55,199 Speaker 2: something or whatever, had a heart attack, fell down and 339 00:17:55,320 --> 00:17:58,520 Speaker 2: so happened to be in an o it. I don't know. 340 00:17:58,560 --> 00:18:02,600 Speaker 2: This sounds the whole thing's so suspicious, but like nineteen 341 00:18:02,680 --> 00:18:05,960 Speaker 2: year olds typically don't just drop dead from things like that, 342 00:18:06,080 --> 00:18:08,320 Speaker 2: So not to say that it's not possible, but it's 343 00:18:08,400 --> 00:18:11,360 Speaker 2: it's it's not likely. They also want to rule out 344 00:18:11,359 --> 00:18:13,800 Speaker 2: if it was an accident, like you were saying, did 345 00:18:13,840 --> 00:18:18,439 Speaker 2: something accidentally get locked did her shirt get caught in 346 00:18:18,560 --> 00:18:21,240 Speaker 2: something that didn't allow her to move That could just 347 00:18:21,280 --> 00:18:23,920 Speaker 2: be an accident, And then you want to see if 348 00:18:23,960 --> 00:18:27,240 Speaker 2: there was something even worse, like homicide or something that 349 00:18:27,680 --> 00:18:30,640 Speaker 2: someone intentionally locked her in there, or someone had killed 350 00:18:30,640 --> 00:18:32,159 Speaker 2: her and then put her in there, like there's all 351 00:18:32,160 --> 00:18:35,000 Speaker 2: these different scenarios. So they'll do the autopsy and they'll 352 00:18:35,040 --> 00:18:38,160 Speaker 2: be able to tell if she was really charred at 353 00:18:38,160 --> 00:18:40,480 Speaker 2: the time of being discovered. They will be able to 354 00:18:40,480 --> 00:18:42,440 Speaker 2: see if she got those injuries while she was alive 355 00:18:42,520 --> 00:18:46,880 Speaker 2: versus dead, and things like that. So hopefully we hear 356 00:18:46,920 --> 00:18:50,480 Speaker 2: what happened, but probably not, just have to assume as 357 00:18:50,520 --> 00:18:51,240 Speaker 2: with every case. 358 00:18:51,520 --> 00:18:54,000 Speaker 1: I don't know, I feel like this is pretty insane 359 00:18:54,080 --> 00:18:56,080 Speaker 1: that they're going to give an update on it. 360 00:18:55,920 --> 00:18:59,760 Speaker 2: It is insane, but I don't know, like Walmart tip. 361 00:19:00,040 --> 00:19:03,480 Speaker 2: I didn't even realize that Walmart would be making the 362 00:19:03,560 --> 00:19:06,159 Speaker 2: bread at the place. What I guess they do. 363 00:19:06,040 --> 00:19:09,760 Speaker 1: Though, the bigger like the super Walmarts, basically have a 364 00:19:09,800 --> 00:19:11,640 Speaker 1: full blown grocery store just like. 365 00:19:12,000 --> 00:19:15,440 Speaker 2: Yeah, I guess. So. So I don't know. I never 366 00:19:15,480 --> 00:19:18,000 Speaker 2: worked in a bakery like I did work in a bakery, 367 00:19:18,040 --> 00:19:20,840 Speaker 2: but I don't remember there being any kind of access 368 00:19:20,960 --> 00:19:24,280 Speaker 2: to go near or inside of an oven. So yeah, 369 00:19:24,400 --> 00:19:26,679 Speaker 2: I need But like if her body was found on 370 00:19:26,720 --> 00:19:31,520 Speaker 2: the conveyor belt, there's just there's just so many scenarios. 371 00:19:31,560 --> 00:19:33,080 Speaker 2: I don't know, So hopefully we hear more. 372 00:19:33,160 --> 00:19:35,880 Speaker 1: Oh yeah, all right. So at a Port Authority bus 373 00:19:36,000 --> 00:19:38,439 Speaker 1: terminal in New Jersey, a bus had pulled in. It 374 00:19:38,480 --> 00:19:41,520 Speaker 1: was parked next to this wall of glass windows, and 375 00:19:41,520 --> 00:19:44,600 Speaker 1: then suddenly the tire blew out, which essentially made the 376 00:19:44,640 --> 00:19:47,840 Speaker 1: glass explode onto the other side of the room where 377 00:19:47,880 --> 00:19:49,720 Speaker 1: people were waiting in line for the bus. 378 00:19:49,840 --> 00:19:50,520 Speaker 2: Oh my god. 379 00:19:50,600 --> 00:19:53,280 Speaker 1: So it hit two people, but most notably it hit 380 00:19:53,359 --> 00:19:56,359 Speaker 1: this one guy and he got these really severe cuts 381 00:19:56,400 --> 00:19:58,600 Speaker 1: to his legs, his lower abdomen, and he had a 382 00:19:58,640 --> 00:20:01,480 Speaker 1: cut on his head. He was able to somehow run 383 00:20:01,560 --> 00:20:04,399 Speaker 1: downstairs in the terminal and get I guess a paper 384 00:20:04,440 --> 00:20:06,560 Speaker 1: towel or some type of towel and turn it get 385 00:20:06,600 --> 00:20:10,320 Speaker 1: his leg. But witnesses are saying that it sounded like 386 00:20:10,320 --> 00:20:12,879 Speaker 1: a bomb went off, so when it exploded, all this 387 00:20:13,000 --> 00:20:15,159 Speaker 1: glass was everywhere, and then they see this guy's blood 388 00:20:15,280 --> 00:20:18,160 Speaker 1: just sprayed all over the terminal, so nobody knew what happened. 389 00:20:18,760 --> 00:20:21,520 Speaker 2: Oh my god, that's so scary. It is, and you 390 00:20:21,560 --> 00:20:25,000 Speaker 2: would think so it essentially acted like shrapnel, like it 391 00:20:25,119 --> 00:20:28,320 Speaker 2: just flew across from the explosion of the tire. Kind 392 00:20:28,320 --> 00:20:30,760 Speaker 2: of weird in a bus terminal that they wouldn't think 393 00:20:30,880 --> 00:20:33,119 Speaker 2: that there was a possibility that there could be a 394 00:20:33,160 --> 00:20:36,479 Speaker 2: blowout with a tire, and maybe pay attention to the 395 00:20:36,520 --> 00:20:39,399 Speaker 2: things that are next to the where the buses are 396 00:20:39,440 --> 00:20:43,200 Speaker 2: parked because they could eventually become shrapnel. 397 00:20:43,320 --> 00:20:45,720 Speaker 1: Right, Well, I think they'll think about it now. 398 00:20:45,920 --> 00:20:48,199 Speaker 2: I mean, I guess even if if it was metal 399 00:20:48,200 --> 00:20:50,560 Speaker 2: doors or something, that would have been a problem too. 400 00:20:50,680 --> 00:20:56,240 Speaker 2: So I don't know exactly. I'm maybe thinking why did 401 00:20:56,320 --> 00:20:58,560 Speaker 2: people have to be so close to the tires, But 402 00:20:58,600 --> 00:21:00,879 Speaker 2: I guess if it's just a small enough place. I 403 00:21:00,920 --> 00:21:04,159 Speaker 2: don't know, and you don't hear about this happening often, 404 00:21:04,240 --> 00:21:06,200 Speaker 2: but that sucks. He could have I mean, he could 405 00:21:06,200 --> 00:21:08,439 Speaker 2: have liked lost an eye or even really if it 406 00:21:08,520 --> 00:21:11,960 Speaker 2: hit his crotted artery or something, it could have went 407 00:21:12,040 --> 00:21:14,240 Speaker 2: deep enough into his neck that it could have killed him. 408 00:21:14,400 --> 00:21:16,200 Speaker 2: That I mean, this is serious, you know. 409 00:21:16,440 --> 00:21:19,600 Speaker 1: Oh yeah, totally. And the picture of the bus stop 410 00:21:19,720 --> 00:21:22,479 Speaker 1: is like these really fine little glass pieces of glass 411 00:21:22,480 --> 00:21:24,280 Speaker 1: all over the floor, and I was thinking they're probably 412 00:21:24,320 --> 00:21:26,800 Speaker 1: all stuck in his skin and how hot. Just the 413 00:21:26,840 --> 00:21:28,200 Speaker 1: whole scene is so horrific. 414 00:21:28,560 --> 00:21:31,199 Speaker 2: And it's also it look does it look like I 415 00:21:31,240 --> 00:21:33,360 Speaker 2: don't I didn't look at the photo. Does it look 416 00:21:33,400 --> 00:21:36,040 Speaker 2: like regular like shards of glass or does it look 417 00:21:36,080 --> 00:21:38,080 Speaker 2: like tempered glass, like if you were to break your 418 00:21:38,080 --> 00:21:41,120 Speaker 2: windshield or something, those little jube it looked like tempered 419 00:21:41,119 --> 00:21:45,080 Speaker 2: glass on the ground. I mean, I mean, that's that's good. 420 00:21:45,119 --> 00:21:48,040 Speaker 2: But typically I guess if anything hits your body hard enough, 421 00:21:48,040 --> 00:21:49,439 Speaker 2: it's going to cut you like that. 422 00:21:49,600 --> 00:22:02,720 Speaker 1: But scary, It is really scary. This episode is brought 423 00:22:02,720 --> 00:22:03,760 Speaker 1: to you by the Grosser Room. 424 00:22:04,600 --> 00:22:06,680 Speaker 2: Guys. I hate to say this, but the holidays are 425 00:22:06,680 --> 00:22:09,640 Speaker 2: coming up. My kids just started making me a Christmas list, 426 00:22:09,720 --> 00:22:15,320 Speaker 2: so oh my god. That Lilian asked for money, just money, 427 00:22:15,520 --> 00:22:17,840 Speaker 2: She no, she asked for like the funniest shit, like 428 00:22:17,880 --> 00:22:19,920 Speaker 2: she wanted a phone. Gabe was like no she. Then 429 00:22:19,960 --> 00:22:21,840 Speaker 2: she said she wanted a kit and we're like no, 430 00:22:23,359 --> 00:22:26,280 Speaker 2: so she and We're like, who asked Santa for money? 431 00:22:26,280 --> 00:22:29,880 Speaker 2: But well, uh, Lillian doesn't do Santa anymore, but Lucia 432 00:22:29,960 --> 00:22:33,280 Speaker 2: still does. Anyway. The perfect gift would be the Grosser 433 00:22:33,320 --> 00:22:36,639 Speaker 2: Room because if anyone that you know in your life 434 00:22:36,760 --> 00:22:39,000 Speaker 2: likes this podcast, they're really going to love the Grosser 435 00:22:39,040 --> 00:22:41,639 Speaker 2: Room because we go further into these stories and we 436 00:22:41,680 --> 00:22:44,560 Speaker 2: show pictures of a lot of these things, and there's 437 00:22:44,680 --> 00:22:49,280 Speaker 2: just thousands of articles that occurred way before Mother Knows 438 00:22:49,280 --> 00:22:52,120 Speaker 2: Death even started that we just will never be able 439 00:22:52,160 --> 00:22:54,280 Speaker 2: to cover on here. So if you want to check 440 00:22:54,320 --> 00:22:56,199 Speaker 2: that out, it's a great gift. You could get it 441 00:22:56,240 --> 00:22:58,719 Speaker 2: for them for only five ninety nine a month or 442 00:22:59,520 --> 00:23:01,040 Speaker 2: what is it for a year? Right now, we don't 443 00:23:01,080 --> 00:23:02,280 Speaker 2: have it on sale right now, but. 444 00:23:02,359 --> 00:23:05,879 Speaker 1: It's fifty five dollars for the year, So that's a 445 00:23:05,920 --> 00:23:08,439 Speaker 1: really great deal. And it's, you know, like Herpes, the 446 00:23:08,440 --> 00:23:11,959 Speaker 1: gift that keeps on giving. So yeah, it's it's not 447 00:23:12,040 --> 00:23:13,959 Speaker 1: like a one time thing. It's just like we update 448 00:23:13,960 --> 00:23:16,560 Speaker 1: the website every day and stop. So I think they'll 449 00:23:16,560 --> 00:23:19,040 Speaker 1: definitely love it. And you can visit the Grossroom dot 450 00:23:19,040 --> 00:23:21,040 Speaker 1: com for more info and to sign up. 451 00:23:25,680 --> 00:23:28,160 Speaker 2: Okay, true crime, all right, So. 452 00:23:28,359 --> 00:23:32,040 Speaker 1: Not surprisingly, this next story happened in Philadelphia. So around 453 00:23:32,080 --> 00:23:35,120 Speaker 1: four am, about two Saturdays ago, this guy was shot 454 00:23:35,200 --> 00:23:38,159 Speaker 1: multiple times throughout his body. So a car with a 455 00:23:38,200 --> 00:23:40,320 Speaker 1: group of three guys had picked up the victim and 456 00:23:40,400 --> 00:23:43,119 Speaker 1: pulled up to the ambulance bay at a nearby hospital. 457 00:23:43,600 --> 00:23:45,959 Speaker 1: They got out of the car and ran in, begging 458 00:23:46,040 --> 00:23:48,760 Speaker 1: the nurses to help the victim in the car. So 459 00:23:49,040 --> 00:23:52,640 Speaker 1: they came out with a hospital security guy and they were, 460 00:23:52,720 --> 00:23:55,280 Speaker 1: you know, working to help the victim and try to 461 00:23:55,280 --> 00:23:58,040 Speaker 1: get him on a gurney. In the meantime, the three 462 00:23:58,040 --> 00:24:00,199 Speaker 1: other guys noticed that a cop car pulled up up 463 00:24:00,320 --> 00:24:03,480 Speaker 1: and freaked out and jumped back in the car. And 464 00:24:03,520 --> 00:24:06,160 Speaker 1: then we're trying to flee. And when they were trying 465 00:24:06,200 --> 00:24:09,920 Speaker 1: to flee, they hit all three nurses, giving them serious injuries. 466 00:24:10,560 --> 00:24:12,880 Speaker 2: Do you know one of our really good friends works here. 467 00:24:13,000 --> 00:24:13,080 Speaker 1: No. 468 00:24:13,800 --> 00:24:17,240 Speaker 2: Yeah, it really sucks and it's so scary. I mean, 469 00:24:17,280 --> 00:24:19,639 Speaker 2: she wasn't there obviously at four o'clock in the morning 470 00:24:19,720 --> 00:24:22,960 Speaker 2: or whenever. This happened. But these three nurses, they were 471 00:24:22,960 --> 00:24:25,600 Speaker 2: all three male nurses. One of them is in critical 472 00:24:25,640 --> 00:24:29,880 Speaker 2: condition after getting this injury, had internal injuries. I mean, 473 00:24:29,920 --> 00:24:33,479 Speaker 2: obviously getting hit by a car. But how messed up 474 00:24:33,560 --> 00:24:36,159 Speaker 2: is that that someone that you go in and recruit 475 00:24:36,160 --> 00:24:38,720 Speaker 2: people to come help your friend, and you're just like, oh, 476 00:24:38,760 --> 00:24:40,880 Speaker 2: the cops are coming, and me, MEI me, it's gonna 477 00:24:40,880 --> 00:24:43,159 Speaker 2: get in trouble, like if everyone else around here, like 478 00:24:43,200 --> 00:24:45,400 Speaker 2: I'm gonna get away from this. It's so messed up. 479 00:24:45,880 --> 00:24:48,919 Speaker 1: It's really messed up, and it just like on so 480 00:24:49,000 --> 00:24:51,280 Speaker 1: many levels it doesn't make sense to me, Like if 481 00:24:51,320 --> 00:24:53,600 Speaker 1: you like, of course you're going to get questioned if 482 00:24:53,600 --> 00:24:55,320 Speaker 1: somebody is shot, what are you thinking? 483 00:24:55,560 --> 00:24:57,439 Speaker 2: So I was thinking that too, Like you cared that 484 00:24:57,520 --> 00:24:59,440 Speaker 2: much about your friend to drop them off to get 485 00:24:59,480 --> 00:25:03,040 Speaker 2: some help, but then you're not doing anything, like you 486 00:25:03,480 --> 00:25:06,959 Speaker 2: almost ran him over to and killed the nurses. I mean, 487 00:25:06,960 --> 00:25:08,640 Speaker 2: it just doesn't make any sense. 488 00:25:08,480 --> 00:25:10,879 Speaker 1: No, And it's like really shitty for these people that 489 00:25:10,920 --> 00:25:12,800 Speaker 1: are trying to save a life that you just have 490 00:25:12,920 --> 00:25:15,520 Speaker 1: total disregard for human life and you're like, fuck this, 491 00:25:16,080 --> 00:25:18,080 Speaker 1: I'm selfish, I'm gonna do what I need to do, 492 00:25:18,359 --> 00:25:21,040 Speaker 1: and guess what, idiots, you got caught anyway, So like, 493 00:25:21,119 --> 00:25:22,680 Speaker 1: what was the point of hurting. 494 00:25:22,560 --> 00:25:24,320 Speaker 2: And in a lot more trouble? 495 00:25:24,800 --> 00:25:28,159 Speaker 1: Yeah a lot, yeah, significantly more trouble. Oh that you 496 00:25:28,240 --> 00:25:30,359 Speaker 1: know what, They hit their friend too, So it's like 497 00:25:30,480 --> 00:25:31,520 Speaker 1: you took all the straw. 498 00:25:31,600 --> 00:25:32,640 Speaker 2: They actually hit the guy. 499 00:25:32,800 --> 00:25:35,040 Speaker 1: They hit three of the nurses and the victim. So, 500 00:25:35,320 --> 00:25:38,040 Speaker 1: my god, you take all these steps to try to 501 00:25:38,080 --> 00:25:40,359 Speaker 1: help your friend out when you either could have just 502 00:25:40,520 --> 00:25:43,639 Speaker 1: called an ambulance to where the shooting happened, or just like, 503 00:25:43,800 --> 00:25:45,600 Speaker 1: if you were so scared of getting in trouble, just 504 00:25:45,680 --> 00:25:47,919 Speaker 1: drop them off and put them on a bench. Somebody 505 00:25:47,920 --> 00:25:50,440 Speaker 1: would have found them, right. So you're taking all these 506 00:25:50,440 --> 00:25:53,120 Speaker 1: steps and then you just completely undone the good deed 507 00:25:53,160 --> 00:25:55,359 Speaker 1: you tried to do and made it a thousand times 508 00:25:55,359 --> 00:25:56,200 Speaker 1: worse for yourself. 509 00:25:56,640 --> 00:25:58,679 Speaker 2: Yeah, what a moron. 510 00:25:58,880 --> 00:26:04,320 Speaker 1: So they idd the they turned themselves in so good ones, idiots. 511 00:26:05,600 --> 00:26:06,520 Speaker 1: It's like so rude. 512 00:26:06,600 --> 00:26:09,600 Speaker 2: This next story is so outrageous. 513 00:26:09,840 --> 00:26:13,240 Speaker 1: All right, So this ten year old had intentionally dropped 514 00:26:13,240 --> 00:26:15,680 Speaker 1: a two month old baby on the ground, which gave 515 00:26:15,720 --> 00:26:19,760 Speaker 1: the baby serious injuries. And then I guess, upon investigating, 516 00:26:20,040 --> 00:26:23,280 Speaker 1: like why would this child do this? I'm thinking Lucia 517 00:26:23,359 --> 00:26:25,720 Speaker 1: is ten years old. I can't imagine a world in 518 00:26:25,760 --> 00:26:28,440 Speaker 1: which she would just take a baby and intentionally try 519 00:26:28,480 --> 00:26:31,520 Speaker 1: to hurt it. They found out this kid was talking 520 00:26:31,560 --> 00:26:35,719 Speaker 1: to this woman on roadblocks who was instructing the child 521 00:26:35,800 --> 00:26:38,639 Speaker 1: how to kill the infant, and also the adults in 522 00:26:38,680 --> 00:26:39,040 Speaker 1: the home. 523 00:26:40,320 --> 00:26:43,760 Speaker 2: Did they say who this lady was? Is she just 524 00:26:43,840 --> 00:26:46,440 Speaker 2: like a Rando stranger or is she like the kids? 525 00:26:46,520 --> 00:26:47,960 Speaker 2: At like? What's going on there? 526 00:26:48,280 --> 00:26:51,520 Speaker 1: So at the end of this news article we're referencing, 527 00:26:51,960 --> 00:26:55,399 Speaker 1: it said that the connection between the adult, the child, 528 00:26:55,440 --> 00:26:58,040 Speaker 1: and the infant were all unclear. So at first I 529 00:26:58,160 --> 00:27:00,879 Speaker 1: was thinking this was the sibling of this kid, but 530 00:27:00,960 --> 00:27:05,320 Speaker 1: that's also not clearly established. But regardless, why is there 531 00:27:05,359 --> 00:27:09,400 Speaker 1: no measures in place to avoid this from happening? This 532 00:27:09,440 --> 00:27:10,480 Speaker 1: is a child's game. 533 00:27:11,040 --> 00:27:16,000 Speaker 2: I hear about this often, that there's especially older people 534 00:27:16,000 --> 00:27:19,560 Speaker 2: that are playing and taking advantage of children. It's usually 535 00:27:19,640 --> 00:27:22,920 Speaker 2: like a sex predator scenario when we hear about adults 536 00:27:22,920 --> 00:27:27,080 Speaker 2: talking to kids on roadbox. In my personal experience, whenever 537 00:27:27,119 --> 00:27:31,400 Speaker 2: my kids get blocked on roadblocks, which happens from time 538 00:27:31,480 --> 00:27:34,639 Speaker 2: to time, believe it or not, it's all whenever I 539 00:27:34,760 --> 00:27:37,479 Speaker 2: read like the comments that they left. I think I 540 00:27:37,640 --> 00:27:41,120 Speaker 2: laugh out loud because they're just so like not violent, 541 00:27:41,240 --> 00:27:44,240 Speaker 2: not threatening. It'll just it'll it'll be like, for example, 542 00:27:44,280 --> 00:27:48,159 Speaker 2: one time, Luccio was talking to Lillian about something with 543 00:27:48,320 --> 00:27:52,159 Speaker 2: dinner and getting daddy and blah blah blah, and it said, like, 544 00:27:52,240 --> 00:27:56,080 Speaker 2: I guess the word daddy automatically triggered this like inappropriate 545 00:27:56,119 --> 00:27:59,840 Speaker 2: sexual content or something. It was ridiculous, and Gabe and 546 00:27:59,840 --> 00:28:02,439 Speaker 2: I actually, you know, I'll send pictures to him once 547 00:28:02,480 --> 00:28:03,840 Speaker 2: in a while and we kind of laugh about it 548 00:28:04,040 --> 00:28:08,600 Speaker 2: because we're like, okay, whatever, right. So I haven't personally 549 00:28:08,720 --> 00:28:10,960 Speaker 2: experienced that with my kids playing, but I do tell 550 00:28:11,000 --> 00:28:13,600 Speaker 2: them all the time that they don't know that the 551 00:28:13,640 --> 00:28:15,639 Speaker 2: people that they're playing with, if they're adults or not. 552 00:28:16,400 --> 00:28:19,080 Speaker 2: But to think that some of the things that she 553 00:28:19,280 --> 00:28:22,600 Speaker 2: was saying to this child to do to this this 554 00:28:22,680 --> 00:28:26,120 Speaker 2: little baby were to drown the baby in a bathtub, 555 00:28:27,040 --> 00:28:31,600 Speaker 2: burn the burn the baby, drop hot water on the baby, 556 00:28:31,960 --> 00:28:34,960 Speaker 2: or drop the baby on a solid tile floor, and 557 00:28:35,119 --> 00:28:38,760 Speaker 2: was closely telling it and yes, and was also telling 558 00:28:39,280 --> 00:28:42,440 Speaker 2: the child to cut their parents the parent's throat while 559 00:28:42,440 --> 00:28:45,680 Speaker 2: they were I'm laughing because you just can't even believe 560 00:28:45,680 --> 00:28:49,040 Speaker 2: that this actually happened. They said cut the parent's throat 561 00:28:49,040 --> 00:28:51,560 Speaker 2: while they were sleeping, the adults in the house. And 562 00:28:51,840 --> 00:28:55,840 Speaker 2: also they said to put alcohol aerosol spray all over 563 00:28:55,920 --> 00:28:58,160 Speaker 2: the sheets and to set them on fire. And apparently 564 00:28:58,200 --> 00:29:00,960 Speaker 2: the kid did put the aerosol right on the sheets, 565 00:29:01,000 --> 00:29:04,600 Speaker 2: but never lit the fire. How was that not picked 566 00:29:04,640 --> 00:29:08,680 Speaker 2: up by any kind of algorithm or whatever? Is outrageous. 567 00:29:08,760 --> 00:29:12,480 Speaker 1: I feel like I'm constantly hearing criticisms from parents of 568 00:29:12,600 --> 00:29:16,800 Speaker 1: children that play Roadblocks that there's not enough safety features embedded, 569 00:29:16,880 --> 00:29:20,320 Speaker 1: considering it's a game intended for children, and that. 570 00:29:20,680 --> 00:29:22,960 Speaker 2: There's not compared to you know how the kids have 571 00:29:23,040 --> 00:29:25,800 Speaker 2: the mess in your kids? Yeah, that one's like very 572 00:29:26,720 --> 00:29:29,440 Speaker 2: anybody that they're friends with on there has to be 573 00:29:29,520 --> 00:29:32,920 Speaker 2: approved by me. I could see every one of their conversations. 574 00:29:33,000 --> 00:29:35,200 Speaker 2: I could control who they talk to, what time they 575 00:29:35,240 --> 00:29:38,720 Speaker 2: all this stuff. And the thing with Roadblocks, this is 576 00:29:39,240 --> 00:29:41,400 Speaker 2: how it is from what I understand, And you guys 577 00:29:41,440 --> 00:29:43,880 Speaker 2: could correct me if I'm wrong. But it's the kids. 578 00:29:43,920 --> 00:29:46,280 Speaker 2: Could they all play together? Right? So they play this 579 00:29:46,360 --> 00:29:48,960 Speaker 2: game right now called Dress to Impress, and they're the 580 00:29:49,400 --> 00:29:52,000 Speaker 2: girls were doing it this weekend. Two of my kids 581 00:29:52,000 --> 00:29:55,160 Speaker 2: are in their bedroom playing with kids that live across 582 00:29:55,200 --> 00:29:57,240 Speaker 2: town and they're all playing together, but they all could 583 00:29:57,280 --> 00:30:00,320 Speaker 2: see what each other's playing. Well, there's a fun function 584 00:30:00,440 --> 00:30:03,240 Speaker 2: that you could chat, right, so you eat. This is 585 00:30:03,280 --> 00:30:05,840 Speaker 2: where the problem lies. You could either chat with everybody 586 00:30:05,880 --> 00:30:08,760 Speaker 2: there or not chat at all. But the kids that 587 00:30:08,840 --> 00:30:10,800 Speaker 2: are not chatting at all, then they can't talk to 588 00:30:10,840 --> 00:30:13,080 Speaker 2: their friends, even which that's what. 589 00:30:13,040 --> 00:30:14,760 Speaker 1: I'm talking to. 590 00:30:14,480 --> 00:30:18,400 Speaker 2: And then most parents, including myself, are like, okay, well 591 00:30:18,440 --> 00:30:20,160 Speaker 2: you could just talk to everyone, because I want you 592 00:30:20,200 --> 00:30:21,680 Speaker 2: to be able to play with your friends, and then 593 00:30:21,680 --> 00:30:22,920 Speaker 2: that's where the problems happen. 594 00:30:23,040 --> 00:30:25,640 Speaker 1: But to me, it's like you coded this entire game 595 00:30:25,680 --> 00:30:27,640 Speaker 1: out and you can't figure out how to code a 596 00:30:27,680 --> 00:30:30,000 Speaker 1: feature that's like you could only talk to your friends, 597 00:30:30,040 --> 00:30:32,520 Speaker 1: or you could only or you have to talk to everybody. 598 00:30:32,640 --> 00:30:35,200 Speaker 1: This doesn't even make sense to me from a developer standpoint. 599 00:30:35,200 --> 00:30:37,680 Speaker 2: And even if they did that though, there's not really 600 00:30:38,160 --> 00:30:42,400 Speaker 2: there's not really a sure way to know or like 601 00:30:42,520 --> 00:30:45,920 Speaker 2: a messenger kids. I only let's say Jen's like, oh 602 00:30:46,000 --> 00:30:48,720 Speaker 2: I want my kids to talk to your kid. I 603 00:30:48,800 --> 00:30:50,960 Speaker 2: have to approve that. She has to approve it. It's 604 00:30:51,000 --> 00:30:53,320 Speaker 2: like this mutual thing that the parents know who the 605 00:30:53,360 --> 00:30:56,160 Speaker 2: kids are talking to. Even if they made friends, it's 606 00:30:56,200 --> 00:30:59,560 Speaker 2: as easy as adding a friend on Instagram. On on roadblocks, 607 00:30:59,600 --> 00:31:01,960 Speaker 2: there's no you don't know who it is. They know 608 00:31:02,000 --> 00:31:04,160 Speaker 2: who their friends use, their names are their real friends, 609 00:31:04,200 --> 00:31:06,640 Speaker 2: but they could add other people that aren't their real friends. 610 00:31:06,920 --> 00:31:09,880 Speaker 2: This team, there's just no way around it for right now, 611 00:31:09,960 --> 00:31:11,480 Speaker 2: at least the way they have it set up. 612 00:31:11,640 --> 00:31:14,440 Speaker 1: And there's been lots of problems. It's not like this 613 00:31:14,920 --> 00:31:18,880 Speaker 1: particular situation. I haven't heard anything this severe, but there's 614 00:31:18,920 --> 00:31:21,560 Speaker 1: a lot of issues with child predators on this game, 615 00:31:21,720 --> 00:31:24,760 Speaker 1: and I don't see why they even want to take 616 00:31:24,760 --> 00:31:28,080 Speaker 1: on the liability of something horrible happening and being associated 617 00:31:28,080 --> 00:31:30,600 Speaker 1: with their platform. Do they really not care? It just 618 00:31:30,600 --> 00:31:31,760 Speaker 1: seems very weird to me. 619 00:31:31,880 --> 00:31:34,520 Speaker 2: They are making probable I can't even imagine the am 620 00:31:34,560 --> 00:31:37,280 Speaker 2: out of money these people are making. It's outrageous. 621 00:31:37,320 --> 00:31:40,240 Speaker 1: Well, they found the lady. She's been arrested, and one 622 00:31:40,240 --> 00:31:42,000 Speaker 1: of the cops working on it said they had worked 623 00:31:42,000 --> 00:31:44,440 Speaker 1: in law enforcement for forty years and have never seen 624 00:31:44,480 --> 00:31:47,320 Speaker 1: anything like this, which I'm like, this is awesome and 625 00:31:47,360 --> 00:31:49,920 Speaker 1: really telling of the society we're living in today. 626 00:31:50,600 --> 00:31:53,480 Speaker 2: I mean, it's really it is really alarming, but you 627 00:31:53,600 --> 00:31:56,960 Speaker 2: have to take into consideration, Like, you know, Luce's ten, 628 00:31:57,760 --> 00:32:00,480 Speaker 2: and I'm like, if an adult online was telling her 629 00:32:00,480 --> 00:32:05,800 Speaker 2: that stuff, I think that I can't imagine that she 630 00:32:05,880 --> 00:32:08,239 Speaker 2: would just do it. Like so there has to be 631 00:32:08,280 --> 00:32:10,520 Speaker 2: some level of, well, what's wrong with this kid that 632 00:32:10,560 --> 00:32:12,800 Speaker 2: he's trying to hurt this baby? How did that conversation 633 00:32:12,920 --> 00:32:14,440 Speaker 2: even come up? It's just very weird. 634 00:32:15,240 --> 00:32:17,600 Speaker 1: You don't know how the conversation came up. I mean 635 00:32:17,640 --> 00:32:19,800 Speaker 1: you kind of don't know, like the mental state of 636 00:32:19,840 --> 00:32:22,640 Speaker 1: the child. Like there's a million factors at play here. 637 00:32:25,040 --> 00:32:25,440 Speaker 2: Okay. 638 00:32:25,600 --> 00:32:28,600 Speaker 1: Medical news a couple of years ago, this man who's 639 00:32:28,640 --> 00:32:31,000 Speaker 1: now in his early thirties had noticed a bump and 640 00:32:31,080 --> 00:32:32,840 Speaker 1: some hair loss on the top of his head, and 641 00:32:32,920 --> 00:32:35,080 Speaker 1: over the course of five years, the bump had become 642 00:32:35,120 --> 00:32:37,920 Speaker 1: tender to touch. So he finally went to the doctor 643 00:32:38,000 --> 00:32:40,640 Speaker 1: and they noticed that the skin above the bumped move 644 00:32:40,800 --> 00:32:44,360 Speaker 1: really easily, which sews me up to think about. But 645 00:32:44,480 --> 00:32:47,400 Speaker 1: it turns out for about twenty years this man had 646 00:32:47,440 --> 00:32:52,120 Speaker 1: been practicing breakdancing, more specifically headspins over and over and 647 00:32:52,160 --> 00:32:55,680 Speaker 1: over again, so he developed what's called a breakdance bulge. 648 00:32:56,360 --> 00:32:59,520 Speaker 1: I don't understand why this is shocking, you know what 649 00:32:59,600 --> 00:33:03,760 Speaker 1: I mean, just dancing. The guy should have just the 650 00:33:03,760 --> 00:33:05,560 Speaker 1: guy should have just walked in and been like, hey, 651 00:33:05,600 --> 00:33:07,760 Speaker 1: I do these headspins and now I got a bump 652 00:33:07,840 --> 00:33:10,240 Speaker 1: on a bald spottle on my head. Like it's just duh, 653 00:33:10,520 --> 00:33:11,680 Speaker 1: overuse of anything. 654 00:33:11,720 --> 00:33:14,240 Speaker 2: If if you if you're like my dad, he was 655 00:33:14,280 --> 00:33:16,720 Speaker 2: a mechanic, right, and he was on his knees all 656 00:33:16,720 --> 00:33:19,360 Speaker 2: the time. He has these huge disgusting cows is on 657 00:33:19,400 --> 00:33:22,040 Speaker 2: his knees right like that. Normal people don't get that, 658 00:33:22,120 --> 00:33:24,880 Speaker 2: don't do those types of jobs. It's just overuse of 659 00:33:24,920 --> 00:33:28,280 Speaker 2: anything is going to cause a tissue reaction that in 660 00:33:28,320 --> 00:33:30,920 Speaker 2: that In this case, he had this bump and when 661 00:33:30,920 --> 00:33:33,080 Speaker 2: they took it out, it was all fibrous tissue, which 662 00:33:33,120 --> 00:33:37,040 Speaker 2: was just the body's way of kind of because think 663 00:33:37,080 --> 00:33:40,320 Speaker 2: about this. You're not supposed to be putting weight on 664 00:33:40,400 --> 00:33:43,680 Speaker 2: the top of your head, no, right, it's it's it's 665 00:33:43,720 --> 00:33:46,360 Speaker 2: not ever supposed to happen. So the top of your 666 00:33:46,400 --> 00:33:50,080 Speaker 2: head isn't strong enough to hold your two hundred pound 667 00:33:50,080 --> 00:33:53,400 Speaker 2: body upside down, right, So your body's going to start 668 00:33:53,520 --> 00:33:57,680 Speaker 2: producing things that that make it thicker and help protect it. 669 00:33:57,800 --> 00:34:00,880 Speaker 2: So every single time it happened. It makes it like 670 00:34:00,920 --> 00:34:03,360 Speaker 2: a little bit stronger and a little bit more hearty 671 00:34:03,440 --> 00:34:06,360 Speaker 2: because this pert that's it's the coolest thing about the 672 00:34:06,480 --> 00:34:09,720 Speaker 2: human body is that it adapts to the different jobs 673 00:34:09,760 --> 00:34:12,320 Speaker 2: we have and the different anatomy we have and everything 674 00:34:12,360 --> 00:34:15,239 Speaker 2: like that. So I it's it's pretty cool. 675 00:34:15,280 --> 00:34:18,560 Speaker 1: But it's just also kind of like, uh, well they said, 676 00:34:18,600 --> 00:34:21,960 Speaker 1: despite this, you know, I guess condition being really well 677 00:34:22,000 --> 00:34:24,799 Speaker 1: known in the break dancing community, there's little to non 678 00:34:24,880 --> 00:34:29,080 Speaker 1: medical literature about it. So yeah, I mean, I listen, 679 00:34:29,160 --> 00:34:31,239 Speaker 1: I'd never thought about it because I just didn't know 680 00:34:31,320 --> 00:34:34,320 Speaker 1: that that people did it that much that it would 681 00:34:34,680 --> 00:34:37,239 Speaker 1: I just never thought about it. But if someone came 682 00:34:37,280 --> 00:34:40,080 Speaker 1: to me and said, oh, with the you know, I 683 00:34:40,120 --> 00:34:40,920 Speaker 1: guess they went there. 684 00:34:41,040 --> 00:34:43,040 Speaker 2: They didn't. They didn't. They had to have telled them 685 00:34:43,040 --> 00:34:45,200 Speaker 2: some history. I could see you walking in with this 686 00:34:45,280 --> 00:34:47,840 Speaker 2: bald spot and this lump and being like, look, I 687 00:34:47,960 --> 00:34:51,319 Speaker 2: just look up and it's happened. Right then. You would 688 00:34:51,520 --> 00:34:53,279 Speaker 2: as a doctor, you would be like, Okay, well we 689 00:34:53,320 --> 00:34:54,719 Speaker 2: need to look into this. But as soon as they 690 00:34:54,719 --> 00:34:56,600 Speaker 2: say what they're doing, it's just like okay. 691 00:34:56,400 --> 00:34:59,920 Speaker 1: Well, yeah, do you think the infamous Olympic breakdancer Rake 692 00:35:00,040 --> 00:35:01,520 Speaker 1: Gun has this issue as well. 693 00:35:03,040 --> 00:35:06,600 Speaker 2: Does Is she really a breakdancer? That was actually like 694 00:35:06,680 --> 00:35:09,919 Speaker 2: hilarious all those memes there. I saw that someone has 695 00:35:10,200 --> 00:35:12,640 Speaker 2: a skeleton on their lawn that's dressed up like her. 696 00:35:12,680 --> 00:35:14,400 Speaker 1: Oh my god, that's hilarious. 697 00:35:14,560 --> 00:35:17,879 Speaker 2: But is she actually a breakdancer or I thought she 698 00:35:17,960 --> 00:35:19,879 Speaker 2: just was going to make a mockery of the whole thing. 699 00:35:20,480 --> 00:35:21,160 Speaker 1: Yeah, I think her. 700 00:35:21,560 --> 00:35:23,960 Speaker 2: She doesn't look like she's got any skills like that. 701 00:35:24,080 --> 00:35:25,959 Speaker 2: She definitely doesn't have any bumps on her head. 702 00:35:26,000 --> 00:35:28,560 Speaker 1: I feel like her story was that she learned it 703 00:35:28,640 --> 00:35:32,440 Speaker 1: like two days before and then one or something nuts. 704 00:35:32,920 --> 00:35:33,640 Speaker 1: But I don't know. 705 00:35:33,800 --> 00:35:35,040 Speaker 2: She didn't win, did she? Oh? 706 00:35:35,080 --> 00:35:35,839 Speaker 1: I thought she did. 707 00:35:36,400 --> 00:35:39,359 Speaker 2: I don't, I don't. Everybody was freaking out, so well, 708 00:35:39,400 --> 00:35:42,680 Speaker 2: everybody's just freaking out because people dedicate their entire lives 709 00:35:42,719 --> 00:35:46,239 Speaker 2: to being Olympic athletes and she just like cut the 710 00:35:46,280 --> 00:35:49,040 Speaker 2: line kind of and I guess she, I guess qualified 711 00:35:49,080 --> 00:35:50,719 Speaker 2: and made it and it made a mockery of it. 712 00:35:50,800 --> 00:35:52,719 Speaker 2: And I don't even think that that's her fault. That's 713 00:35:52,840 --> 00:35:55,640 Speaker 2: their fault. But let's just like not go on and 714 00:35:55,760 --> 00:35:57,080 Speaker 2: tanted about that right now. 715 00:35:58,040 --> 00:36:00,000 Speaker 1: All right, this next word is what I was reference 716 00:36:00,040 --> 00:36:03,200 Speaker 1: saying earlier with the organ donation. So this woman, Jennifer 717 00:36:03,280 --> 00:36:05,680 Speaker 1: was born with this rare condition. Can you explain what 718 00:36:05,800 --> 00:36:06,080 Speaker 1: it is? 719 00:36:06,840 --> 00:36:10,040 Speaker 2: Yes, citis and versus. It's the condition I always say 720 00:36:10,120 --> 00:36:13,080 Speaker 2: is like my dream autopsy, and it's when your your 721 00:36:13,200 --> 00:36:15,720 Speaker 2: organs are not on the right side of your body, 722 00:36:15,800 --> 00:36:20,000 Speaker 2: so everything is kind of not in the normal anatomic place. 723 00:36:20,200 --> 00:36:23,680 Speaker 2: And she ended up having this condition which I never 724 00:36:23,719 --> 00:36:27,319 Speaker 2: really heard of, called primary ciliary dyskinesia, but it makes sense. 725 00:36:27,600 --> 00:36:29,960 Speaker 2: So the ccilia are these little hairs that are inside 726 00:36:29,960 --> 00:36:34,040 Speaker 2: of your respiratory track. That's what happens when you cough. 727 00:36:34,080 --> 00:36:37,200 Speaker 2: It's like those little hairs are kind of pushing debris 728 00:36:37,200 --> 00:36:40,799 Speaker 2: and bad things out of your lungs and it they 729 00:36:40,840 --> 00:36:44,160 Speaker 2: weren't working correctly. So what happened was she was getting 730 00:36:44,160 --> 00:36:48,799 Speaker 2: this increased mucus and kept getting asthma, kept getting pneumonia, 731 00:36:49,000 --> 00:36:51,840 Speaker 2: and she got to the point where she was on 732 00:36:52,320 --> 00:36:56,719 Speaker 2: oxygen and she was very very young, and she was 733 00:36:56,960 --> 00:37:01,279 Speaker 2: thirty two, and they said you have to get along transplant. 734 00:37:01,360 --> 00:37:03,879 Speaker 2: And she obviously like, if somebody told you that too, 735 00:37:03,920 --> 00:37:06,040 Speaker 2: you would say that scares the shit out of me. 736 00:37:06,080 --> 00:37:07,319 Speaker 2: I don't want to do that, but then it got 737 00:37:07,400 --> 00:37:09,879 Speaker 2: to the point where she couldn't even breathe barely, so 738 00:37:09,920 --> 00:37:12,479 Speaker 2: she finally was like, I have to do this, you know. Yeah. 739 00:37:12,520 --> 00:37:15,560 Speaker 1: So then unfortunately, this woman that had a brain aneurysm 740 00:37:15,600 --> 00:37:17,759 Speaker 1: had died, so that's who she was able to get 741 00:37:17,760 --> 00:37:22,040 Speaker 1: the lungs from. So after her transplant surgery, she kind 742 00:37:22,040 --> 00:37:24,840 Speaker 1: of said she broke the rules and found the family 743 00:37:24,880 --> 00:37:27,799 Speaker 1: and contacted them, just thanking them for changing her entire 744 00:37:27,840 --> 00:37:30,799 Speaker 1: life despite the tragedy they had gone through, and they 745 00:37:30,840 --> 00:37:33,120 Speaker 1: had found her on Facebook and messaged her and then 746 00:37:33,120 --> 00:37:36,600 Speaker 1: they planned to meet. So Jennifer flew out to meet 747 00:37:36,640 --> 00:37:39,440 Speaker 1: her donor's family and when she was there, she just 748 00:37:39,480 --> 00:37:42,320 Speaker 1: felt this immediate bond with them. She became very close. 749 00:37:42,560 --> 00:37:45,960 Speaker 1: She was invited to their others, the donor sister's wedding, 750 00:37:46,239 --> 00:37:48,440 Speaker 1: and at the wedding, she became really close with the 751 00:37:48,520 --> 00:37:50,000 Speaker 1: brother and now they're married. 752 00:37:50,800 --> 00:37:54,120 Speaker 2: Isn't this se she was the other sisters? Okay, yeah, 753 00:37:54,160 --> 00:37:57,000 Speaker 2: it is. It really is. It's like such a cute story. 754 00:37:57,440 --> 00:38:00,600 Speaker 2: I am curious though, how because when I first read this, 755 00:38:00,760 --> 00:38:02,799 Speaker 2: I thought, I've talked to a lot of people that 756 00:38:02,840 --> 00:38:05,520 Speaker 2: have had transplants and stuff. And it's very hard to 757 00:38:05,560 --> 00:38:08,120 Speaker 2: figure out who you get it from most of the time. 758 00:38:08,960 --> 00:38:11,920 Speaker 2: I don't know. I don't know why, if they're certain rules, 759 00:38:12,040 --> 00:38:15,800 Speaker 2: or if that's just donors prefer not to give their information. 760 00:38:15,960 --> 00:38:18,920 Speaker 2: I'm not sure what the reason is, but I guess 761 00:38:18,960 --> 00:38:21,840 Speaker 2: she was able to send a letter to the family 762 00:38:22,040 --> 00:38:24,279 Speaker 2: because maybe you can send a letter and say thank you. 763 00:38:24,760 --> 00:38:27,360 Speaker 2: But she said she put these like easter eggs in 764 00:38:27,440 --> 00:38:30,200 Speaker 2: it that gave them enough that if they googled her, 765 00:38:30,280 --> 00:38:32,239 Speaker 2: they were able to find out who she was, which 766 00:38:32,280 --> 00:38:36,000 Speaker 2: I thought was really cool. And I'm a fan of 767 00:38:36,120 --> 00:38:39,040 Speaker 2: breaking roles in some circumstances, so I thought I was 768 00:38:39,080 --> 00:38:40,840 Speaker 2: just like, I would totally do this too if I 769 00:38:40,920 --> 00:38:45,320 Speaker 2: really wanted to know. And it is cool because they 770 00:38:45,560 --> 00:38:47,279 Speaker 2: you know, there's a love story out of it, but 771 00:38:47,400 --> 00:38:50,360 Speaker 2: also the family gets to have this continuous connection with 772 00:38:50,400 --> 00:38:52,600 Speaker 2: their loved one that died. So I think that that's 773 00:38:52,840 --> 00:38:56,160 Speaker 2: and this is like the prime example of this girl 774 00:38:56,280 --> 00:38:59,080 Speaker 2: was thirty two years old and needed lungs. Right, that's 775 00:38:59,120 --> 00:39:02,000 Speaker 2: why you should be in because otherwise this woman that 776 00:39:02,000 --> 00:39:04,640 Speaker 2: had the aneurysm would just be dead underground, and this 777 00:39:04,680 --> 00:39:07,400 Speaker 2: girl would be dead underground too, right, I mean. 778 00:39:07,280 --> 00:39:11,160 Speaker 1: This is the absolute worst inherited quality I have from anybody, 779 00:39:11,280 --> 00:39:14,279 Speaker 1: is my crying for mama. Because when I read the 780 00:39:14,280 --> 00:39:16,600 Speaker 1: part that said the sister that had passed away was 781 00:39:16,600 --> 00:39:18,680 Speaker 1: always trying to set the brother up with somebody, and 782 00:39:18,760 --> 00:39:21,880 Speaker 1: this like cosmically happened, I just started crying off. 783 00:39:23,400 --> 00:39:24,360 Speaker 2: That is so sad. 784 00:39:24,440 --> 00:39:27,000 Speaker 1: I know, it's so touching. It's so cool that they 785 00:39:27,000 --> 00:39:30,200 Speaker 1: got married. Their wedding pictures are so cute, and it's 786 00:39:30,200 --> 00:39:36,160 Speaker 1: so he's crying right now. It's Jesus sorry, alrightry into 787 00:39:36,160 --> 00:39:37,760 Speaker 1: some toilet pictures. 788 00:39:39,880 --> 00:39:43,439 Speaker 2: There's this help is ridiculous, by the way, this is. 789 00:39:43,320 --> 00:39:47,640 Speaker 1: Why people have hypochondria, including myself. There's this health startup 790 00:39:47,680 --> 00:39:50,080 Speaker 1: out of Austin that's selling a camera that you can 791 00:39:50,160 --> 00:39:53,759 Speaker 1: clip inside of your toilet and it'll take pictures of 792 00:39:53,800 --> 00:39:55,960 Speaker 1: your poop and tell you if you have got problems 793 00:39:56,040 --> 00:39:57,200 Speaker 1: or hydration issues. 794 00:39:58,719 --> 00:40:04,520 Speaker 2: Why can't you just look at your turns? Listen. A 795 00:40:04,640 --> 00:40:08,560 Speaker 2: camera inside a toilet is just a terrible there's always 796 00:40:08,800 --> 00:40:11,320 Speaker 2: sure badge and butthole is like right there. 797 00:40:11,360 --> 00:40:14,600 Speaker 1: So there's obvious concerns that there will be pictures that 798 00:40:14,640 --> 00:40:17,760 Speaker 1: are not meant to be taken uploaded on this app. 799 00:40:18,040 --> 00:40:21,240 Speaker 1: And they're claiming that they have all these security measures 800 00:40:21,320 --> 00:40:25,200 Speaker 1: in place and that everything's anonymous. But if everything's anonymous, 801 00:40:25,239 --> 00:40:27,160 Speaker 1: how is it syncing up to your account to tell 802 00:40:27,200 --> 00:40:28,640 Speaker 1: you that something's going on? 803 00:40:30,040 --> 00:40:31,719 Speaker 2: What? I just don't understand. 804 00:40:31,840 --> 00:40:34,719 Speaker 1: What if you just know the basics that if you 805 00:40:34,800 --> 00:40:37,360 Speaker 1: have diarrhea, that's not good, and if you have constipation, 806 00:40:37,520 --> 00:40:39,479 Speaker 1: that's not good. And if your pay is too dark, 807 00:40:39,520 --> 00:40:41,399 Speaker 1: that's not good. And if it's a weird color, that's 808 00:40:41,440 --> 00:40:44,920 Speaker 1: not good. Like I just saved you a bunch of money, Okay, 809 00:40:44,960 --> 00:40:46,319 Speaker 1: why do you need to take a picture of it 810 00:40:46,360 --> 00:40:46,759 Speaker 1: every day? 811 00:40:47,120 --> 00:40:49,880 Speaker 2: I just just get in like a little too personal. 812 00:40:50,160 --> 00:40:52,560 Speaker 2: It just is there has to be a line drawn, 813 00:40:52,560 --> 00:40:53,680 Speaker 2: and it needs to be drawn here. 814 00:40:53,800 --> 00:40:56,280 Speaker 1: I think we're getting to a point where we're knowing 815 00:40:56,360 --> 00:41:00,440 Speaker 1: too much in our personal homes without medical advice, and 816 00:41:00,480 --> 00:41:02,719 Speaker 1: it's not a good thing. It's like my number one 817 00:41:02,760 --> 00:41:06,080 Speaker 1: problem with WebMD. Right. It's like like a couple of 818 00:41:06,120 --> 00:41:08,319 Speaker 1: months ago, I had eaten some pineapple, right, and I 819 00:41:08,360 --> 00:41:10,840 Speaker 1: texted you and I was like, my tongue looks really 820 00:41:10,880 --> 00:41:13,319 Speaker 1: crazy and it was like wavy and everything. You were like, oh, 821 00:41:13,360 --> 00:41:16,040 Speaker 1: that just happens with pineapple, right. But when you google that, 822 00:41:16,120 --> 00:41:20,279 Speaker 1: it's like basically like, you have tongue cancer, right, and 823 00:41:20,960 --> 00:41:22,600 Speaker 1: you shouldn't know things like that. 824 00:41:22,800 --> 00:41:26,480 Speaker 2: Could I make a WebMD that's like totally blows off everything. 825 00:41:26,520 --> 00:41:28,399 Speaker 2: I'll get sooth though on the first day, because it'll 826 00:41:28,400 --> 00:41:32,439 Speaker 2: be this one person that has tongue cancer or something. Yeah, 827 00:41:32,560 --> 00:41:36,239 Speaker 2: just like it's just the pineapple end zyme digesting your tongue. 828 00:41:36,239 --> 00:41:38,919 Speaker 2: You're fine, You'll survive, Like that's aknown thing. 829 00:41:39,080 --> 00:41:41,840 Speaker 1: Yeah, but it like, I'm sure so many people go 830 00:41:41,920 --> 00:41:44,080 Speaker 1: through this, and then somebody like me that's just like 831 00:41:44,560 --> 00:41:48,320 Speaker 1: so freaked out by anything medical. Ironically, I just start spiraling. 832 00:41:48,560 --> 00:41:48,799 Speaker 2: You know. 833 00:41:49,000 --> 00:41:52,040 Speaker 1: We had this really awful comment in the grosser room yesterday. 834 00:41:52,080 --> 00:41:54,480 Speaker 1: I can't stop thinking about it. I wrote this article 835 00:41:54,560 --> 00:41:57,200 Speaker 1: about this woman that got all these bad surgeries because 836 00:41:57,200 --> 00:41:59,480 Speaker 1: she had this really bad doctor. And I just was 837 00:41:59,520 --> 00:42:01,560 Speaker 1: asking our community, like, have you ever had a bad 838 00:42:01,640 --> 00:42:04,799 Speaker 1: experience with the doctor? And somebody wrote that they went 839 00:42:04,840 --> 00:42:06,759 Speaker 1: to the doctor and they got blow work done and 840 00:42:06,760 --> 00:42:09,000 Speaker 1: the doctor said, will you either have hand, foot in 841 00:42:09,040 --> 00:42:11,799 Speaker 1: mouth or leukemia? And it was a long weekend and 842 00:42:11,800 --> 00:42:14,440 Speaker 1: they didn't get the results until after that was a Friday. 843 00:42:14,960 --> 00:42:17,080 Speaker 1: They didn't get the results till the following Tuesday, and 844 00:42:17,120 --> 00:42:19,800 Speaker 1: she was like, I was spiraling out of control, thinking 845 00:42:19,920 --> 00:42:20,560 Speaker 1: I was dying. 846 00:42:21,080 --> 00:42:24,080 Speaker 2: Yeah, and you hear stories like this from time to time, 847 00:42:24,160 --> 00:42:27,759 Speaker 2: even my mother in law. Actually, she had went to 848 00:42:27,800 --> 00:42:30,440 Speaker 2: the hospital and got diagnosed with having a tumor on 849 00:42:30,480 --> 00:42:33,800 Speaker 2: her kidney, and they told her that she had kidney cancer, 850 00:42:34,600 --> 00:42:37,560 Speaker 2: which I've always been taught in school, you never ever 851 00:42:37,640 --> 00:42:40,319 Speaker 2: tell people that they have cancer until you have a 852 00:42:40,360 --> 00:42:42,920 Speaker 2: formal tissue. Well, in this case, it would be a 853 00:42:42,920 --> 00:42:45,719 Speaker 2: blood work, but you have like a formal diagnosis from 854 00:42:45,719 --> 00:42:48,920 Speaker 2: some kind of lab, right, they told her that she 855 00:42:49,000 --> 00:42:51,960 Speaker 2: had cancer. And then so my mother in law got 856 00:42:51,960 --> 00:42:54,840 Speaker 2: the surgery done and got the kidney removed and everything, 857 00:42:54,880 --> 00:42:57,160 Speaker 2: and it turned out to be a benign tumor. But like, 858 00:42:57,320 --> 00:43:00,120 Speaker 2: for a couple weeks, she thought she had cancer, and 859 00:43:00,160 --> 00:43:03,319 Speaker 2: it's just there's no They should have just said, there's 860 00:43:03,360 --> 00:43:05,759 Speaker 2: a tumor, there's a chance it could be, but there's 861 00:43:05,800 --> 00:43:08,560 Speaker 2: also a chance it could be benign, Like let's just 862 00:43:08,680 --> 00:43:11,839 Speaker 2: do this, And they were flat out told her that 863 00:43:11,880 --> 00:43:13,960 Speaker 2: there was nothing else it could be. But kiddy answer, 864 00:43:14,120 --> 00:43:17,080 Speaker 2: it's just so irresponsible. Yeah, it really is irresponsible. 865 00:43:17,160 --> 00:43:19,560 Speaker 1: But back to the toilet camera. I just feel like this, 866 00:43:19,600 --> 00:43:21,440 Speaker 1: I'm like, what does this have to do about toilet 867 00:43:21,960 --> 00:43:24,279 Speaker 1: I just can't stop thinking about that comment. But back 868 00:43:24,320 --> 00:43:26,640 Speaker 1: to the toilet camera. I think this is setting up 869 00:43:26,680 --> 00:43:29,520 Speaker 1: this environment where it's going to you know, it uses 870 00:43:29,560 --> 00:43:32,359 Speaker 1: AI technology to diagnose your poop. I think it's going 871 00:43:32,400 --> 00:43:35,040 Speaker 1: to give somebody a bad reading. It reminds me of 872 00:43:35,080 --> 00:43:37,759 Speaker 1: that penis app we were talking about a couple of 873 00:43:37,800 --> 00:43:41,280 Speaker 1: months ago. Yeah, and how was if you haven't listened 874 00:43:41,320 --> 00:43:43,400 Speaker 1: to that episode, it was like you could take a 875 00:43:43,400 --> 00:43:45,200 Speaker 1: picture of your genitals and we'll tell you if you 876 00:43:45,200 --> 00:43:47,160 Speaker 1: have like what an STD or something. 877 00:43:47,360 --> 00:43:47,680 Speaker 2: Yeah. 878 00:43:47,760 --> 00:43:50,240 Speaker 1: I just think it's going to give many false readings 879 00:43:50,280 --> 00:43:52,360 Speaker 1: and maybe tell someone they're fine when they're not, or 880 00:43:52,400 --> 00:43:54,719 Speaker 1: tell somebody something's wrong when they're not. And I just 881 00:43:54,760 --> 00:43:56,360 Speaker 1: don't think it's a good idea. 882 00:43:56,440 --> 00:43:58,800 Speaker 2: The worst part that it's not a good idea is 883 00:43:58,840 --> 00:44:01,040 Speaker 2: that it's four hundred and nine nine dollars and if 884 00:44:01,080 --> 00:44:04,480 Speaker 2: you want to sign up for their their startup company, 885 00:44:04,520 --> 00:44:06,320 Speaker 2: you can get it for cheaper for two hundred and 886 00:44:06,360 --> 00:44:08,360 Speaker 2: ninety nine dollars. Like that, just it seems like so 887 00:44:08,520 --> 00:44:11,600 Speaker 2: much money, Like you could get a camera on your 888 00:44:11,640 --> 00:44:15,000 Speaker 2: front porch to protect your entire house for for how 889 00:44:15,080 --> 00:44:17,360 Speaker 2: much to one of those things cost a hundred bucks? 890 00:44:17,640 --> 00:44:19,840 Speaker 2: I don't even know how much they cost. 891 00:44:20,200 --> 00:44:22,960 Speaker 1: Like this news article that wrote this up, I too 892 00:44:23,080 --> 00:44:26,960 Speaker 1: have concerns about the privacy and the user data. And 893 00:44:27,360 --> 00:44:30,359 Speaker 1: they said their technology will filter out pictures that aren't 894 00:44:30,400 --> 00:44:33,600 Speaker 1: meant to be there. But I'm like, so somebody's just 895 00:44:33,640 --> 00:44:38,879 Speaker 1: got like a picture of your butthole or your genitals unsolicited. 896 00:44:39,000 --> 00:44:43,000 Speaker 2: I feel this way about even the Amazon Alexa and 897 00:44:43,040 --> 00:44:45,960 Speaker 2: all that shit, like why would you introduce anything like 898 00:44:46,000 --> 00:44:48,680 Speaker 2: that into the privacy of your own home? And then 899 00:44:48,719 --> 00:44:51,960 Speaker 2: it's going a step further to introduce that technology into 900 00:44:51,960 --> 00:44:55,920 Speaker 2: your bathroom, Like they're every single human should have a 901 00:44:55,960 --> 00:45:00,759 Speaker 2: way that they're disconnected from all of that. You do 902 00:45:00,840 --> 00:45:03,000 Speaker 2: not have to be connected in every single way for 903 00:45:03,120 --> 00:45:05,719 Speaker 2: every single thing. It's just it's not good. That's how 904 00:45:05,760 --> 00:45:07,799 Speaker 2: I look at it. Like you need to have like 905 00:45:07,880 --> 00:45:11,680 Speaker 2: safe spaces, right like when I go into the bathroom 906 00:45:11,719 --> 00:45:14,920 Speaker 2: and shut the door, like that's that's like my private space, 907 00:45:15,080 --> 00:45:17,759 Speaker 2: you know what I mean, And you're letting people into that, 908 00:45:17,800 --> 00:45:21,520 Speaker 2: and it's just it's weird, and you know, for you 909 00:45:21,560 --> 00:45:24,879 Speaker 2: always have to talk about like the benefit and the risk, right, 910 00:45:25,320 --> 00:45:27,879 Speaker 2: the risk of something being terrible with this is far 911 00:45:27,920 --> 00:45:31,239 Speaker 2: greater than any benefits you're getting by some camera looking 912 00:45:31,280 --> 00:45:32,280 Speaker 2: at pictures of your poop. 913 00:45:33,120 --> 00:45:35,560 Speaker 1: I don't I see what they're trying to do, but 914 00:45:35,600 --> 00:45:35,959 Speaker 1: I don't. 915 00:45:36,040 --> 00:45:39,640 Speaker 2: Like it's just like, it's just not that difficult. Like 916 00:45:39,880 --> 00:45:43,120 Speaker 2: we've been a species of humans for thousands of years 917 00:45:43,120 --> 00:45:45,400 Speaker 2: and people have figured out when they're having like poop 918 00:45:45,440 --> 00:45:48,680 Speaker 2: and p issues. Like it's just we're not that stupid. 919 00:45:48,719 --> 00:45:49,840 Speaker 2: We can't be that stupid. 920 00:45:50,280 --> 00:45:56,560 Speaker 1: No, just okay. Other death news, So this undertaker from 921 00:45:56,560 --> 00:45:59,239 Speaker 1: England has been sentenced to seventeen years in jail after 922 00:45:59,360 --> 00:46:02,799 Speaker 1: pleading guilty to sex crimes with dead bodies. Some of 923 00:46:02,840 --> 00:46:07,080 Speaker 1: those included making indecent images and arranging or encouraging the 924 00:46:07,080 --> 00:46:10,200 Speaker 1: commission of sexual offenses against a child, a dog, and 925 00:46:10,239 --> 00:46:12,600 Speaker 1: a dead body via social media apps. 926 00:46:14,200 --> 00:46:16,279 Speaker 2: The grossest part of this story is that there's some 927 00:46:16,440 --> 00:46:19,040 Speaker 2: other person that's involved with this, that they were meeting 928 00:46:19,120 --> 00:46:21,279 Speaker 2: up and talking about having sex with dead bodies and 929 00:46:21,320 --> 00:46:24,319 Speaker 2: things like that, and you just think, like, how does 930 00:46:24,320 --> 00:46:27,000 Speaker 2: the conversation ever come? When you meet a person that 931 00:46:27,120 --> 00:46:29,880 Speaker 2: all of a sudden, in some part of your friendship, 932 00:46:30,400 --> 00:46:32,400 Speaker 2: you know, I have friends that we bond because we 933 00:46:32,560 --> 00:46:34,920 Speaker 2: like to collect plants and stuff, Like, how does it go? 934 00:46:35,600 --> 00:46:38,600 Speaker 2: How does it go to? Like, oh, let's like talk 935 00:46:38,640 --> 00:46:40,920 Speaker 2: about the joy of having sex with dead people? 936 00:46:41,120 --> 00:46:44,480 Speaker 1: Well, apparent, it's really weird. It's really weird. And apparently 937 00:46:44,520 --> 00:46:48,200 Speaker 1: this guy had been sentenced in twenty twenty two and 938 00:46:48,480 --> 00:46:52,080 Speaker 1: his case was just recently referenced in this case against 939 00:46:52,200 --> 00:46:54,680 Speaker 1: I feel like we talked about this guy, David Kohler. 940 00:46:55,000 --> 00:46:58,760 Speaker 1: So he was the hospital maintenance man who for fifteen 941 00:46:58,840 --> 00:47:02,360 Speaker 1: years was assaulting over one hundred people. I think they. 942 00:47:02,440 --> 00:47:06,160 Speaker 2: Figured out, Yeah, so like did how. 943 00:47:06,040 --> 00:47:08,560 Speaker 1: Does this happen? How does it come up? And you know, 944 00:47:08,600 --> 00:47:11,840 Speaker 1: of course they were questioning the facility this most recent 945 00:47:12,080 --> 00:47:14,680 Speaker 1: or the guy we're talking about that just got sentenced 946 00:47:14,719 --> 00:47:18,400 Speaker 1: to seventeen years, So they're talking about the facility he 947 00:47:18,440 --> 00:47:21,880 Speaker 1: worked at, and like how did they basically let this happen? 948 00:47:21,920 --> 00:47:23,839 Speaker 1: And they're just like, well, there's no proof he did 949 00:47:23,920 --> 00:47:26,240 Speaker 1: it here, Like well, where else was he getting access 950 00:47:26,280 --> 00:47:27,080 Speaker 1: to dead bodies? 951 00:47:27,840 --> 00:47:30,919 Speaker 2: Yeah? I don't know. I mean I don't know because 952 00:47:30,960 --> 00:47:33,680 Speaker 2: this took place in the UK. You're saying, right, yeah, 953 00:47:34,000 --> 00:47:36,239 Speaker 2: so I don't know what the deal is there. I 954 00:47:36,239 --> 00:47:38,680 Speaker 2: don't really one hundred percent know what the deal is here, honestly, 955 00:47:38,760 --> 00:47:40,880 Speaker 2: but I know that in the article they were saying 956 00:47:40,920 --> 00:47:44,520 Speaker 2: that any person could just be a funeral director and 957 00:47:44,560 --> 00:47:46,440 Speaker 2: they could just have bodies in their house and in 958 00:47:46,480 --> 00:47:50,200 Speaker 2: their garage. And I mean that kind of happened here too, 959 00:47:50,239 --> 00:47:52,200 Speaker 2: a little bit, like there's people that live in the 960 00:47:52,200 --> 00:47:55,359 Speaker 2: funeral home that they that they run out of their 961 00:47:55,360 --> 00:47:59,040 Speaker 2: home and yeah, people, you know, there's a few around 962 00:47:59,120 --> 00:48:01,959 Speaker 2: us that they have. I mean, you don't think about 963 00:48:01,960 --> 00:48:04,200 Speaker 2: it because you go to a funeral, but they have 964 00:48:04,239 --> 00:48:06,719 Speaker 2: to have some kind of refrigeration system somewhere where they're 965 00:48:06,719 --> 00:48:08,960 Speaker 2: storing bodies while they're working on them and stuff. And 966 00:48:09,800 --> 00:48:12,959 Speaker 2: I but I feel like there's a lot of regulations 967 00:48:13,000 --> 00:48:15,080 Speaker 2: here with that. Maybe I'm wrong, though I don't one 968 00:48:15,160 --> 00:48:18,759 Speaker 2: hundred percent know, but and in the UK too, but 969 00:48:19,360 --> 00:48:22,240 Speaker 2: I'm sure there's been cases where there's regulations and people 970 00:48:22,320 --> 00:48:25,400 Speaker 2: are certified funeral directors and stuff, and this stuff still happens. 971 00:48:25,400 --> 00:48:28,759 Speaker 2: Like it's the same thing as a pedophile working at 972 00:48:28,760 --> 00:48:31,879 Speaker 2: a school. Like when you have these weird sexual desires, 973 00:48:31,960 --> 00:48:34,560 Speaker 2: then it wouldn't be unheard of for you to get 974 00:48:34,600 --> 00:48:37,600 Speaker 2: a career where you had access to that, you know 975 00:48:37,640 --> 00:48:38,080 Speaker 2: what I mean? 976 00:48:38,520 --> 00:48:42,080 Speaker 1: Yeah, speaking of that. Actually, so I've been finishing up 977 00:48:42,120 --> 00:48:45,760 Speaker 1: with Matt Murphy's book and he was talking about Rodney Ocala, 978 00:48:45,920 --> 00:48:49,920 Speaker 1: you know, the serial killer, and apparently because this all 979 00:48:49,960 --> 00:48:52,040 Speaker 1: happened in the seventies, he was able to get this 980 00:48:52,120 --> 00:48:54,200 Speaker 1: other alias while he was on the run and he 981 00:48:54,560 --> 00:48:57,320 Speaker 1: was working at a children's like an all girls camp, 982 00:48:57,600 --> 00:49:01,200 Speaker 1: like summer camp, taking pictures her ific. But Netflix just 983 00:49:01,200 --> 00:49:03,279 Speaker 1: put out this movie called Woman at the Hour that 984 00:49:03,400 --> 00:49:06,799 Speaker 1: just came out on Friday about him, and I don't know, 985 00:49:07,120 --> 00:49:08,799 Speaker 1: I watched it and I thought it was fine. But 986 00:49:08,920 --> 00:49:12,799 Speaker 1: after listening to the exact real life, you know, how 987 00:49:12,840 --> 00:49:15,760 Speaker 1: they figured out this guy was on this dating show 988 00:49:15,800 --> 00:49:18,200 Speaker 1: in the seventies versus how they did it in the movie, 989 00:49:18,200 --> 00:49:21,879 Speaker 1: I just thought the real story was so much more compelling. Yeah, 990 00:49:21,880 --> 00:49:23,920 Speaker 1: and they barely touched the surface with it. But I 991 00:49:23,960 --> 00:49:27,319 Speaker 1: guess when somebody's doing horrific things for years and years 992 00:49:27,320 --> 00:49:29,480 Speaker 1: and years and thinking they have victims of up to 993 00:49:29,640 --> 00:49:33,080 Speaker 1: one hundred people, it's impossible to like even touch the surface. 994 00:49:33,160 --> 00:49:36,839 Speaker 1: So yeah, totally, It's definitely interesting. But let's get onto 995 00:49:36,920 --> 00:49:39,279 Speaker 1: questions of the day. Every Friday at the at mother 996 00:49:39,360 --> 00:49:41,720 Speaker 1: nos Death Instagram account. You guys could ask us whatever 997 00:49:41,800 --> 00:49:44,319 Speaker 1: questions you want. Just head over to our story on 998 00:49:44,440 --> 00:49:47,279 Speaker 1: Fridays and we have the little question box up. Can 999 00:49:47,320 --> 00:49:50,640 Speaker 1: you explain why balloons are the worst choking hazard in kids? 1000 00:49:52,440 --> 00:49:55,080 Speaker 2: Well, just because they put it in their mouth, I mean, 1001 00:49:55,120 --> 00:49:57,759 Speaker 2: it wouldn't be I feel like it would be super 1002 00:49:57,880 --> 00:50:00,160 Speaker 2: rare to find a balloon in an adult's mouth. But 1003 00:50:01,160 --> 00:50:04,320 Speaker 2: when you put the balloons, what they do is the 1004 00:50:04,760 --> 00:50:09,480 Speaker 2: balloons are usually inflated, and then a kid usually three 1005 00:50:09,840 --> 00:50:13,400 Speaker 2: four two, you know, little little kid with sharp teeth 1006 00:50:13,520 --> 00:50:16,600 Speaker 2: will bite on the balloon and when the balloon pops, 1007 00:50:16,640 --> 00:50:19,600 Speaker 2: it's all of a sudden, a flat piece of rubber 1008 00:50:19,680 --> 00:50:23,880 Speaker 2: that air can't get through it gets They could inhale 1009 00:50:23,920 --> 00:50:27,359 Speaker 2: it very quickly. It's very thin, and just inhaling it 1010 00:50:27,360 --> 00:50:32,960 Speaker 2: could suck it right down. And unfortunately, if you notice 1011 00:50:33,000 --> 00:50:35,840 Speaker 2: that a child is choking like that, unless you're physically 1012 00:50:35,880 --> 00:50:38,759 Speaker 2: able to stick your finger down their throat and get it. 1013 00:50:38,760 --> 00:50:40,680 Speaker 2: It's not like if you do the heimlook or something, 1014 00:50:40,680 --> 00:50:42,920 Speaker 2: it's not coming up. It's stuck because it's just so 1015 00:50:43,239 --> 00:50:46,480 Speaker 2: thin and it covers the airway, and then it just 1016 00:50:46,560 --> 00:50:50,560 Speaker 2: causes an asphyxial death. So I just hate balloons so much. 1017 00:50:51,160 --> 00:50:54,239 Speaker 2: I hate like thinking about I never had a case 1018 00:50:54,280 --> 00:50:56,680 Speaker 2: personally of it, but seeing the autopsy pictures of just 1019 00:50:56,719 --> 00:50:58,880 Speaker 2: like this little tiny throat with a balloon in it, 1020 00:50:58,920 --> 00:51:02,279 Speaker 2: I just I just like don't like them all. 1021 00:51:02,360 --> 00:51:05,920 Speaker 1: Right. Next, do you ask for any medical history like screenings? 1022 00:51:06,239 --> 00:51:13,360 Speaker 1: I guess when you're doing an exam. 1023 00:51:10,960 --> 00:51:15,479 Speaker 2: No, I would say, I would say not probably. I've 1024 00:51:15,760 --> 00:51:19,000 Speaker 2: like No, I would say, it doesn't really matter because 1025 00:51:19,040 --> 00:51:22,399 Speaker 2: we're looking at it, you know, if you're gonna find 1026 00:51:22,480 --> 00:51:25,719 Speaker 2: it anyway. Yeah, if we go like, let's say we 1027 00:51:25,760 --> 00:51:27,880 Speaker 2: look at a sixty year old person and they have 1028 00:51:27,960 --> 00:51:29,880 Speaker 2: a tumor in their colon, we're not going to go 1029 00:51:29,960 --> 00:51:32,680 Speaker 2: back and see if they've been getting a colonoscopy every 1030 00:51:32,760 --> 00:51:35,520 Speaker 2: year or something like that. That's not what we would 1031 00:51:35,520 --> 00:51:41,360 Speaker 2: really care to do or look into. I don't. I 1032 00:51:41,400 --> 00:51:43,839 Speaker 2: don't think it really matters for dead people as much 1033 00:51:43,840 --> 00:51:48,080 Speaker 2: as it matters for live people. I'm just trying to 1034 00:51:48,080 --> 00:51:51,880 Speaker 2: think of any other circumstance. Even with breast cancer and stuff. 1035 00:51:53,320 --> 00:51:55,879 Speaker 2: I mean, that's that's just more of a clinical thing 1036 00:51:55,960 --> 00:51:59,680 Speaker 2: than than what would matter in pathology. Even if we 1037 00:51:59,800 --> 00:52:02,560 Speaker 2: have a woman that never had mamograms or something. It's 1038 00:52:02,640 --> 00:52:05,080 Speaker 2: just like, at this point, if you're dead or you 1039 00:52:05,120 --> 00:52:07,439 Speaker 2: have cancer from it, there's not really much you could 1040 00:52:07,440 --> 00:52:10,839 Speaker 2: do to say were they having screenings or not. That's 1041 00:52:10,960 --> 00:52:15,080 Speaker 2: more just for the clinical side. I would say, all. 1042 00:52:15,040 --> 00:52:17,239 Speaker 1: Right, least, what's your favorite fall activity? 1043 00:52:19,239 --> 00:52:22,759 Speaker 2: I like haunted things. We went to the one in 1044 00:52:22,760 --> 00:52:24,560 Speaker 2: our town, you know, the one that wouldn't let us 1045 00:52:24,560 --> 00:52:28,040 Speaker 2: advertise there, which I pitched them for out adult just 1046 00:52:28,080 --> 00:52:30,520 Speaker 2: like totally walk through it, and there was just like 1047 00:52:30,600 --> 00:52:34,960 Speaker 2: a bunch of like, you know, kids just pretending to 1048 00:52:35,000 --> 00:52:37,600 Speaker 2: be dead in all these different scenarios, which was it 1049 00:52:37,640 --> 00:52:40,879 Speaker 2: was very cool though, Wait I said something there or yes, 1050 00:52:40,920 --> 00:52:43,799 Speaker 2: I said something, you say. I just was like, oh, 1051 00:52:43,840 --> 00:52:45,920 Speaker 2: I could totally see why you didn't let my podcast 1052 00:52:46,040 --> 00:52:49,640 Speaker 2: advertise here. It's just like not the appropriate situation. I'm sure, 1053 00:52:49,680 --> 00:52:50,879 Speaker 2: like just. 1054 00:52:51,800 --> 00:52:54,000 Speaker 1: Whatever, You're just so different from me. 1055 00:52:54,440 --> 00:52:57,759 Speaker 2: I just what am I going to do? Just like 1056 00:52:57,880 --> 00:53:01,640 Speaker 2: let the like it's just ridiculou If it made sense, 1057 00:53:01,719 --> 00:53:03,560 Speaker 2: I would just let it go. It just doesn't make 1058 00:53:03,560 --> 00:53:06,319 Speaker 2: any sense. So it really wasn't like it wasn't like 1059 00:53:07,120 --> 00:53:10,319 Speaker 2: when I did the garden tour, right, maybe that might 1060 00:53:10,360 --> 00:53:13,319 Speaker 2: not have been appropriate. I could understand that, Like I'm 1061 00:53:13,360 --> 00:53:15,920 Speaker 2: a normal person, I understand stuff. But when you're talking 1062 00:53:15,960 --> 00:53:21,000 Speaker 2: about death like Halloween, whatever, I just whatever. We don't 1063 00:53:21,000 --> 00:53:24,759 Speaker 2: need to go on about it, but I want to 1064 00:53:24,800 --> 00:53:27,160 Speaker 2: go on. Me and Gabe usually go on a good one, 1065 00:53:27,400 --> 00:53:30,600 Speaker 2: like we usually go with other Maria and Friday. Actually 1066 00:53:30,640 --> 00:53:32,960 Speaker 2: we've done that a couple of years too, like like 1067 00:53:33,000 --> 00:53:35,920 Speaker 2: an adult one that the kids would they would just 1068 00:53:36,160 --> 00:53:38,200 Speaker 2: shit themselves if they went to it. They would cry 1069 00:53:38,239 --> 00:53:41,160 Speaker 2: so bad. Maria doesn't even really like Halloween. 1070 00:53:41,760 --> 00:53:44,520 Speaker 1: I don't. There's this, you know, I feel like I 1071 00:53:44,600 --> 00:53:47,399 Speaker 1: say this every week. There's this misconception that I guess 1072 00:53:47,440 --> 00:53:50,080 Speaker 1: because I have tattoos and we have this podcast about death, 1073 00:53:50,080 --> 00:53:52,799 Speaker 1: that I'm just like obsessed with Halloween. Like it just 1074 00:53:52,840 --> 00:53:55,080 Speaker 1: can't be further than the truth. I just I think 1075 00:53:55,120 --> 00:53:57,239 Speaker 1: when I have kids, I'll get really into it because 1076 00:53:57,280 --> 00:53:59,360 Speaker 1: I'll have kids and they go trigger treating and stuff. 1077 00:53:59,360 --> 00:54:02,400 Speaker 1: But right now, like I don't really like horror things. 1078 00:54:02,440 --> 00:54:06,440 Speaker 1: I feel like the stories we talk about are real 1079 00:54:06,560 --> 00:54:08,839 Speaker 1: and really scary, so I don't want to like keep 1080 00:54:08,920 --> 00:54:12,280 Speaker 1: triggering my brain like that, just watching really scary movies 1081 00:54:12,600 --> 00:54:15,399 Speaker 1: over and over again, and it's just not really my thing. 1082 00:54:15,560 --> 00:54:18,360 Speaker 1: So I don't know. It's not like I think people 1083 00:54:18,360 --> 00:54:20,600 Speaker 1: that like it are stupid. It's just like not my thing. 1084 00:54:20,640 --> 00:54:24,160 Speaker 2: I'm like Halloween because or yeah, I like, but that's 1085 00:54:24,160 --> 00:54:26,200 Speaker 2: what I'm saying, Like I like Halloween or Christmas or 1086 00:54:26,239 --> 00:54:30,279 Speaker 2: anything because I like anything that involves creativity and crafting 1087 00:54:30,840 --> 00:54:34,920 Speaker 2: and decorating. So for I mean, really I could go 1088 00:54:35,040 --> 00:54:38,359 Speaker 2: nuts with with Halloween or with Christmas or anything because 1089 00:54:38,360 --> 00:54:41,640 Speaker 2: I'm just like into that, you know what I mean, Like, 1090 00:54:41,719 --> 00:54:45,520 Speaker 2: I don't necessarily it's the same thing. The death thing 1091 00:54:45,600 --> 00:54:47,920 Speaker 2: is around us every single day, so it doesn't really 1092 00:54:48,640 --> 00:54:52,279 Speaker 2: it's more intriguing to other people because it's you know, 1093 00:54:52,760 --> 00:54:55,800 Speaker 2: I have I have skeletons in my house every day, 1094 00:54:55,920 --> 00:54:58,399 Speaker 2: not I'm not gonna go buy a plastic one. Well 1095 00:54:58,440 --> 00:55:00,319 Speaker 2: I have a pink plastic one, but beside that, I'm 1096 00:55:00,360 --> 00:55:02,240 Speaker 2: not going to go buy plastic ones to put outside 1097 00:55:02,280 --> 00:55:03,600 Speaker 2: like I'm around them all the time, you know. 1098 00:55:03,800 --> 00:55:06,280 Speaker 1: And it's cool if that's your thing. But my thing's Christmas. 1099 00:55:06,480 --> 00:55:10,680 Speaker 1: So I don't know, but uh yeah I don't. I 1100 00:55:10,680 --> 00:55:13,960 Speaker 1: don't really do like halloweeny activities like that. I guess 1101 00:55:13,960 --> 00:55:16,840 Speaker 1: when it's like nice and crisp and fallout. I like, 1102 00:55:17,080 --> 00:55:19,000 Speaker 1: you know, being a basic bitch and going to the 1103 00:55:19,040 --> 00:55:22,440 Speaker 1: farmer's market or getting a pumpkin coffee and just I like, 1104 00:55:22,640 --> 00:55:25,320 Speaker 1: you know, I've been baking bread and a pumpkin coffee 1105 00:55:25,440 --> 00:55:28,440 Speaker 1: is like, legit the best, even though are my pumpkin 1106 00:55:28,480 --> 00:55:31,520 Speaker 1: coffee today had a bug in it when I finished 1107 00:55:31,600 --> 00:55:34,240 Speaker 1: drinking it and at the very last stip, I was like, cool, 1108 00:55:34,280 --> 00:55:38,360 Speaker 1: this bug's just floating in the cup. But that's not 1109 00:55:38,480 --> 00:55:42,840 Speaker 1: their fault. That just happens sometimes, pretty disgusting. 1110 00:55:43,080 --> 00:55:47,080 Speaker 2: Well, yeah, so I guess you noticed that this is 1111 00:55:47,160 --> 00:55:50,279 Speaker 2: an early news episode. We had so many stories this 1112 00:55:50,400 --> 00:55:53,279 Speaker 2: week that we had to and like, the week's not over, 1113 00:55:53,360 --> 00:55:55,719 Speaker 2: so we decided we're going to do two episodes this week, 1114 00:55:55,760 --> 00:55:59,000 Speaker 2: which we're going to do probably more often because we're 1115 00:55:59,000 --> 00:56:02,960 Speaker 2: cuting a lot of story. So today News episode, another 1116 00:56:03,000 --> 00:56:05,160 Speaker 2: one's coming at the end of the week. So stay 1117 00:56:05,160 --> 00:56:07,720 Speaker 2: tuned for the rest of those stories, and keep sending 1118 00:56:07,800 --> 00:56:10,560 Speaker 2: us your stories when you find them, because we really 1119 00:56:10,719 --> 00:56:14,160 Speaker 2: enjoy that and we just can't possibly find every single 1120 00:56:14,160 --> 00:56:15,839 Speaker 2: thing that's happening in the world, So when you guys 1121 00:56:15,880 --> 00:56:17,240 Speaker 2: help us out, it's really awesome. 1122 00:56:17,560 --> 00:56:19,799 Speaker 1: Yeah, and if you guys have a shocking story that's 1123 00:56:19,840 --> 00:56:24,040 Speaker 1: thematic to Halloween, Thanksgiving, Christmas, Valentine's Day, just send it 1124 00:56:24,080 --> 00:56:26,480 Speaker 1: whenever because we try to make a list of them 1125 00:56:26,520 --> 00:56:28,239 Speaker 1: so we could fill them in around the times of 1126 00:56:28,280 --> 00:56:31,080 Speaker 1: the year so we could have fun little episodes that 1127 00:56:31,120 --> 00:56:33,560 Speaker 1: are thematic to what's going on. But we like to. 1128 00:56:33,520 --> 00:56:36,359 Speaker 2: Keeople die from Halloween candy, and we have a bunch 1129 00:56:36,360 --> 00:56:38,920 Speaker 2: of stories. We're gonna have a special episode on Halloween. 1130 00:56:38,960 --> 00:56:42,440 Speaker 1: Actually, yeah, I actually have so many stories for our 1131 00:56:42,520 --> 00:56:45,439 Speaker 1: Christmas episode that I think we're gonna have to either 1132 00:56:45,520 --> 00:56:47,359 Speaker 1: do two parts or we're just gonna have to cut 1133 00:56:47,400 --> 00:56:48,080 Speaker 1: a bunch of them. 1134 00:56:48,440 --> 00:56:49,360 Speaker 2: Yeah, there's a lot. 1135 00:56:49,400 --> 00:56:52,960 Speaker 1: But submit those to stories at Mothernosdeath dot com and 1136 00:56:53,000 --> 00:56:55,080 Speaker 1: we all love to review them, and please leave us 1137 00:56:55,080 --> 00:56:55,560 Speaker 1: a review. 1138 00:56:56,480 --> 00:57:03,799 Speaker 2: Yes, thank you, bye, Thank you for listening to Mother 1139 00:57:03,920 --> 00:57:07,680 Speaker 2: nos Death. As a reminder, my training is as a 1140 00:57:07,680 --> 00:57:12,520 Speaker 2: pathologist's assistant. I have a master's level education and specialize 1141 00:57:12,560 --> 00:57:16,600 Speaker 2: in anatomy and pathology education. I am not a doctor 1142 00:57:16,640 --> 00:57:19,640 Speaker 2: and I have not diagnosed or treated anyone dead or 1143 00:57:19,680 --> 00:57:24,960 Speaker 2: alive without the assistance of a licensed medical doctor. This show, 1144 00:57:25,320 --> 00:57:29,000 Speaker 2: my website, and social media accounts are designed to educate 1145 00:57:29,040 --> 00:57:33,000 Speaker 2: and inform people based on my experience working in pathology, 1146 00:57:33,480 --> 00:57:36,680 Speaker 2: so they can make healthier decisions regarding their life and 1147 00:57:36,760 --> 00:57:41,000 Speaker 2: well being. Always remember that science is changing every day 1148 00:57:41,080 --> 00:57:44,040 Speaker 2: and the opinions expressed in this episode are based on 1149 00:57:44,080 --> 00:57:46,800 Speaker 2: my knowledge of those subjects at the time of publication. 1150 00:57:48,040 --> 00:57:51,640 Speaker 2: If you are having a medical problem, have a medical question, 1151 00:57:52,200 --> 00:57:56,240 Speaker 2: or having a medical emergency, please contact your physician or 1152 00:57:56,400 --> 00:58:02,040 Speaker 2: visit an urgent care center, emergency room, or hospital. Please rate, review, 1153 00:58:02,160 --> 00:58:06,520 Speaker 2: and subscribe to Mother Knows Death on Apple, Spotify, YouTube, 1154 00:58:06,800 --> 00:58:08,360 Speaker 2: or anywhere you get podcasts. 1155 00:58:08,840 --> 00:58:15,280 Speaker 1: Thanks