1 00:00:08,039 --> 00:00:14,080 Speaker 1: Mother Knows Death starring Nicole and Jemmy and Maria qk. 2 00:00:20,880 --> 00:00:21,079 Speaker 2: Hi. 3 00:00:21,120 --> 00:00:24,680 Speaker 3: Everyone welcome The Mother Knows Death. The past couple of episodes, 4 00:00:24,720 --> 00:00:28,640 Speaker 3: we've covered Domestic Violence Awareness Month with Jim Schmidt talking 5 00:00:28,680 --> 00:00:32,000 Speaker 3: about his daughter Gabby Petito, who was murdered and was 6 00:00:32,040 --> 00:00:37,160 Speaker 3: a victim of domestic violence. Yesterday's episode was a crossover 7 00:00:37,400 --> 00:00:41,360 Speaker 3: episode with Gandhi from Sauce on the Side, and Gandhi 8 00:00:41,479 --> 00:00:44,120 Speaker 3: is also a part of the Elvis Dran podcast network 9 00:00:44,159 --> 00:00:46,800 Speaker 3: with us. So today we have a lot of news 10 00:00:46,840 --> 00:00:49,599 Speaker 3: stories to catch up on. We're going to start off 11 00:00:49,640 --> 00:00:53,000 Speaker 3: with Kim Kardashian and her brain aneurysm that may have 12 00:00:53,040 --> 00:00:56,319 Speaker 3: been caused by Kanye West. A woman who set her 13 00:00:56,320 --> 00:00:59,360 Speaker 3: building on fire because she was trying to kill a cockroach. 14 00:01:00,080 --> 00:01:03,800 Speaker 3: A grandfather that was boiled alive at a hotel, a 15 00:01:03,840 --> 00:01:06,720 Speaker 3: man who was dead for days at a retirement home 16 00:01:06,800 --> 00:01:10,280 Speaker 3: and no one noticed, of course, and let's finish it 17 00:01:10,360 --> 00:01:14,640 Speaker 3: off with monkeys with herpes. We'll finish the episode with 18 00:01:14,720 --> 00:01:18,760 Speaker 3: your questions comments. All that moral Titty's episode. Let's get 19 00:01:18,800 --> 00:01:22,200 Speaker 3: started with the Kim Kardashian story. It's every week with 20 00:01:22,280 --> 00:01:22,759 Speaker 3: this woman. 21 00:01:23,520 --> 00:01:26,039 Speaker 4: Well, there are new seasons airing right now, so you're 22 00:01:26,080 --> 00:01:28,000 Speaker 4: definitely going to see a bunch of stuff. So the 23 00:01:28,080 --> 00:01:32,400 Speaker 4: trailer came out for the Kardashians and Kim revealed that 24 00:01:32,440 --> 00:01:34,960 Speaker 4: she got one of those full body pernuvo scans. Were 25 00:01:35,000 --> 00:01:37,720 Speaker 4: we just talking to Elvis about this last year, Well, 26 00:01:37,760 --> 00:01:40,920 Speaker 4: he wanted a surgeon to open open him up and 27 00:01:41,120 --> 00:01:42,960 Speaker 4: fully look inside, not just do it. 28 00:01:43,000 --> 00:01:45,399 Speaker 3: Yes, that was I don't know if you guys listened to, 29 00:01:45,640 --> 00:01:49,960 Speaker 3: because we did another episode with Elvis Duran himself and 30 00:01:51,040 --> 00:01:54,640 Speaker 3: he was asking me, like, can people just I didn't 31 00:01:54,640 --> 00:01:57,120 Speaker 3: even understand what he was saying, but he was just saying, like, 32 00:01:57,200 --> 00:01:59,320 Speaker 3: can I just get a surgeon to caught me open 33 00:01:59,320 --> 00:02:03,720 Speaker 3: and look around tell me if anything's wrong? And I said, no, 34 00:02:04,040 --> 00:02:06,440 Speaker 3: I don't think anybody's going to do that for you. 35 00:02:06,440 --> 00:02:09,320 Speaker 3: You could get one of these full body scans that 36 00:02:09,360 --> 00:02:14,000 Speaker 3: they're always advertising, but you definitely can't get someone to 37 00:02:14,120 --> 00:02:17,519 Speaker 3: just do an exploratory laborotomy on you just to see 38 00:02:17,560 --> 00:02:20,320 Speaker 3: if something's wrong when you have absolutely no symptoms. 39 00:02:20,400 --> 00:02:23,720 Speaker 4: So that was funny, pretty insane to what somebody does. 40 00:02:23,760 --> 00:02:26,600 Speaker 3: I'm just like, I'm like, why would you want that? 41 00:02:28,240 --> 00:02:30,480 Speaker 4: So Kim got one of these done and then they 42 00:02:30,560 --> 00:02:33,640 Speaker 4: detected she had a quote little brain aneurism. What are 43 00:02:33,680 --> 00:02:34,400 Speaker 4: your thoughts on this? 44 00:02:34,520 --> 00:02:38,320 Speaker 3: I just think this is such bullshit, Like when if 45 00:02:38,360 --> 00:02:40,680 Speaker 3: you get one of these full body scans on any 46 00:02:40,720 --> 00:02:43,680 Speaker 3: single person, you're just gonna find something a little weird. 47 00:02:44,360 --> 00:02:46,880 Speaker 3: And the fact that they said she has a little 48 00:02:46,960 --> 00:02:51,760 Speaker 3: brain aneurysm is just like, it just means that one 49 00:02:51,800 --> 00:02:55,280 Speaker 3: of her vessels in her brain is bulging a little bit. 50 00:02:56,520 --> 00:02:59,760 Speaker 3: But she didn't say anything that they were treating it, 51 00:02:59,840 --> 00:03:03,040 Speaker 3: so it's just like, if they're not going to treat it, 52 00:03:03,040 --> 00:03:03,560 Speaker 3: it's just. 53 00:03:03,600 --> 00:03:04,800 Speaker 2: Not that big of a deal. 54 00:03:05,120 --> 00:03:07,480 Speaker 4: Well, she didn't reveal yet because she went on Good 55 00:03:07,480 --> 00:03:11,080 Speaker 4: Morning America earlier this week and said, basically, you have 56 00:03:11,160 --> 00:03:13,640 Speaker 4: to watch the episode to find out what happened, which, 57 00:03:13,760 --> 00:03:15,280 Speaker 4: of course, well, if. 58 00:03:15,520 --> 00:03:18,840 Speaker 3: I mean, if she did get treatment, then I would say, okay, 59 00:03:18,919 --> 00:03:21,760 Speaker 3: then that's a little bit more of a significant finding, 60 00:03:21,919 --> 00:03:28,680 Speaker 3: because like, people live with brain aneurysms all the time, 61 00:03:28,960 --> 00:03:31,839 Speaker 3: small ones, and it never causes a problem. If it's 62 00:03:32,040 --> 00:03:36,000 Speaker 3: if it's incidentally identified on a scan such as this, 63 00:03:36,280 --> 00:03:38,360 Speaker 3: or maybe you're getting a scan for something else, they're 64 00:03:38,360 --> 00:03:40,800 Speaker 3: gonna want to watch it just to make sure that 65 00:03:40,880 --> 00:03:43,360 Speaker 3: it doesn't get worse because they are at risk of 66 00:03:43,560 --> 00:03:47,080 Speaker 3: bursting and then you could have real problems, so you 67 00:03:47,080 --> 00:03:49,360 Speaker 3: could die from it. Actually, when we were at the 68 00:03:49,560 --> 00:03:53,560 Speaker 3: Dark Side, New Jersey, was that two weeks ago now 69 00:03:53,760 --> 00:03:57,280 Speaker 3: or ye two saturdays ago, two saturdays ago, which we 70 00:03:57,360 --> 00:04:00,000 Speaker 3: did do a live episode and that will get posted 71 00:04:00,080 --> 00:04:03,160 Speaker 3: as soon as we get the audio from that, because. 72 00:04:02,920 --> 00:04:04,120 Speaker 2: That makes we promised. 73 00:04:04,240 --> 00:04:06,640 Speaker 3: Yeah, it's coming, we promise, and it was a good episode, 74 00:04:06,680 --> 00:04:08,560 Speaker 3: so I want you guys to hear it. But anyway, 75 00:04:08,960 --> 00:04:12,800 Speaker 3: one of our our listeners came up to us at 76 00:04:12,800 --> 00:04:18,080 Speaker 3: that at that Oddity exhibit at the Dark Side and 77 00:04:18,160 --> 00:04:18,960 Speaker 3: she told us. 78 00:04:18,960 --> 00:04:20,919 Speaker 2: She says to me, oh, I'm. 79 00:04:20,760 --> 00:04:23,720 Speaker 3: So glad I was able to get here, get out 80 00:04:23,720 --> 00:04:26,719 Speaker 3: of the hospital in time to get here. So I 81 00:04:26,720 --> 00:04:28,840 Speaker 3: don't know my brain just because there's a lot of 82 00:04:28,839 --> 00:04:31,400 Speaker 3: people listening to us at our nurses and doctors and 83 00:04:31,440 --> 00:04:33,360 Speaker 3: things like that. I was I was like, oh, where 84 00:04:33,400 --> 00:04:36,440 Speaker 3: do you work And she was like, no, I'm actually 85 00:04:36,480 --> 00:04:39,920 Speaker 3: in I was in the hospital. I had a ruptured 86 00:04:39,960 --> 00:04:43,480 Speaker 3: anneurism and a brain bleed. And I was like, holy shit. 87 00:04:43,560 --> 00:04:46,800 Speaker 3: Because she she's pretty young, She's probably around my age 88 00:04:46,839 --> 00:04:52,479 Speaker 3: or maybe even younger. So it really happens and for 89 00:04:53,080 --> 00:04:56,440 Speaker 3: so in the episode, apparently Kim Kardashian said that she 90 00:04:56,680 --> 00:04:59,640 Speaker 3: got this aneurism because of Kanye West. 91 00:05:00,080 --> 00:05:04,400 Speaker 4: That's not true necessarily. The trailer alluded to the fact 92 00:05:04,480 --> 00:05:07,080 Speaker 4: that it was stressed around the time of her divorce, 93 00:05:07,520 --> 00:05:11,200 Speaker 4: although a source is now saying aka their pr person, 94 00:05:11,680 --> 00:05:14,400 Speaker 4: that she's not blaming it on Kanye because at the 95 00:05:14,480 --> 00:05:17,320 Speaker 4: time she was getting it done, or at the time 96 00:05:17,400 --> 00:05:20,000 Speaker 4: the scan happened and they detected the aneurysm, it was 97 00:05:20,200 --> 00:05:22,560 Speaker 4: in the middle of her divorce, she was going through 98 00:05:22,600 --> 00:05:24,719 Speaker 4: the bar exam, i believe for the third time, and 99 00:05:24,760 --> 00:05:26,599 Speaker 4: she was getting ready to go to Paris for the 100 00:05:26,640 --> 00:05:30,640 Speaker 4: trial for her robbery. So she had three extremely stressful 101 00:05:30,680 --> 00:05:32,800 Speaker 4: things happening in her life on top of the stress 102 00:05:32,839 --> 00:05:35,080 Speaker 4: of being a famous person and just not being able 103 00:05:35,120 --> 00:05:36,400 Speaker 4: to live like a normal human being. 104 00:05:37,120 --> 00:05:41,920 Speaker 3: But in the trailer or the episode, she said specifically 105 00:05:41,960 --> 00:05:44,800 Speaker 3: that it was because of stress from Kanye West, and 106 00:05:44,839 --> 00:05:48,440 Speaker 3: then they kind of backtracked it a little bit. Well, yeah, 107 00:05:48,480 --> 00:05:51,599 Speaker 3: because that's what it believes. Well, it probably plays to 108 00:05:51,680 --> 00:05:54,840 Speaker 3: her not wanting to talk shit about her kid's dad. No, 109 00:05:55,000 --> 00:05:57,400 Speaker 3: it plays to the fact that every single person in 110 00:05:57,440 --> 00:05:59,760 Speaker 3: the world, like myself is going to be like, that's 111 00:05:59,839 --> 00:06:03,400 Speaker 3: not what happens, right, Like, that doesn't even make any sense. 112 00:06:03,680 --> 00:06:08,080 Speaker 3: So I guess in theory because if you have high, 113 00:06:08,160 --> 00:06:10,480 Speaker 3: like chronic high blood pressure, that would increase your risk 114 00:06:10,520 --> 00:06:12,640 Speaker 3: for an aneurysm. And in theory, you could have high 115 00:06:12,680 --> 00:06:16,760 Speaker 3: blood pressure if you're under stress a lot. So like that, 116 00:06:16,880 --> 00:06:20,479 Speaker 3: it's it's just a stretch. It's not caused by it's 117 00:06:20,520 --> 00:06:23,440 Speaker 3: not caused by stress, because then people would be dropping 118 00:06:23,560 --> 00:06:28,000 Speaker 3: like flies for everybody's got stress in their life, and really, like, 119 00:06:28,480 --> 00:06:30,719 Speaker 3: she doesn't have money stress, which a lot of people have, 120 00:06:30,920 --> 00:06:34,600 Speaker 3: so it's just different stress, right, It's not any worse 121 00:06:34,640 --> 00:06:39,800 Speaker 3: than anybody else's, So so I think that that's kind 122 00:06:39,800 --> 00:06:43,159 Speaker 3: of that's I feel like that's personally why they put 123 00:06:43,200 --> 00:06:46,000 Speaker 3: out the statement that wasn't caused by that, because a 124 00:06:46,000 --> 00:06:48,000 Speaker 3: bunch of people were going to be like, dude, that's 125 00:06:48,120 --> 00:06:49,720 Speaker 3: not you just made that up. 126 00:06:49,760 --> 00:06:50,640 Speaker 2: That's not even true. 127 00:06:51,000 --> 00:06:53,600 Speaker 4: Well it's interesting though that they are backtracking on it, 128 00:06:53,640 --> 00:06:55,359 Speaker 4: and I don't know what the real reason is it 129 00:06:55,400 --> 00:06:57,800 Speaker 4: behind it, If it's actually people calling her out saying 130 00:06:57,839 --> 00:07:00,480 Speaker 4: that's bullshit, or she like was like I didn't want 131 00:07:00,480 --> 00:07:02,799 Speaker 4: to say something like that, and it looks bad obviously, 132 00:07:03,279 --> 00:07:05,800 Speaker 4: but they're saying from the trailer, and they also picked 133 00:07:05,839 --> 00:07:08,400 Speaker 4: up that she's blaming her psoriasis flare ups on the 134 00:07:08,440 --> 00:07:12,640 Speaker 4: stress of her divorce, and she also discussed having Stockholm syndrome, 135 00:07:12,640 --> 00:07:15,120 Speaker 4: which is when you start being loving and having a 136 00:07:15,160 --> 00:07:17,920 Speaker 4: positive attitude towards your captor abuser. 137 00:07:18,760 --> 00:07:25,560 Speaker 3: So interesting, Well, getting back to this MRI, Like, the 138 00:07:25,600 --> 00:07:28,760 Speaker 3: way the article's written is she was having a routine MRI. 139 00:07:28,880 --> 00:07:31,600 Speaker 3: There's no such thing as a routine MRI. Well, that's 140 00:07:31,640 --> 00:07:33,720 Speaker 3: what I was going to ask you too. There's just 141 00:07:33,800 --> 00:07:36,600 Speaker 3: not they don't they're test that could cost hundreds and 142 00:07:36,640 --> 00:07:38,960 Speaker 3: thousands of dollars. They're not just doing them on everyone 143 00:07:39,120 --> 00:07:43,520 Speaker 3: just to see if if you have something, so bit 144 00:07:44,160 --> 00:07:47,000 Speaker 3: like everybody needs to see that. This whole entire episode 145 00:07:47,040 --> 00:07:50,840 Speaker 3: is an ad for this that she's making thousands of 146 00:07:50,880 --> 00:07:51,680 Speaker 3: dollars off of. 147 00:07:52,280 --> 00:07:55,120 Speaker 4: And they are all it is ad about it because, uh, 148 00:07:55,240 --> 00:07:57,440 Speaker 4: Chris got it done before, and I remember you and 149 00:07:57,480 --> 00:07:59,880 Speaker 4: I got a little tiff about it. 150 00:08:00,080 --> 00:08:03,720 Speaker 1: Because you're saying it's so unnecessary for people to get done. 151 00:08:03,720 --> 00:08:05,120 Speaker 1: But I'm like, if you have the money to do, 152 00:08:05,200 --> 00:08:05,760 Speaker 1: who cares? 153 00:08:05,960 --> 00:08:08,320 Speaker 3: And this is the thing, Like I would actually love 154 00:08:08,400 --> 00:08:10,480 Speaker 3: to see the report and see how it all goes 155 00:08:10,520 --> 00:08:13,480 Speaker 3: down and listen like when we I guess when next 156 00:08:13,480 --> 00:08:15,720 Speaker 3: week's episode comes out, we could be having a totally 157 00:08:15,760 --> 00:08:21,480 Speaker 3: different situation. But like her doing advertisements for them, the 158 00:08:21,560 --> 00:08:24,440 Speaker 3: best case scenario is that they do find something that 159 00:08:24,480 --> 00:08:28,680 Speaker 3: could potentially be deadly, because then every single person's gonna 160 00:08:28,680 --> 00:08:31,480 Speaker 3: watch it and be like, oh my god, Kim Kardashian 161 00:08:31,520 --> 00:08:34,840 Speaker 3: almost died of a hemorrhagic stroke. We have to get 162 00:08:34,880 --> 00:08:37,079 Speaker 3: this test done to make sure that doesn't happen to us. 163 00:08:37,440 --> 00:08:40,479 Speaker 3: So it could have just been like this hair millimeter, 164 00:08:40,720 --> 00:08:43,600 Speaker 3: like it's it's kind of on the edge of abnormal, 165 00:08:43,760 --> 00:08:46,760 Speaker 3: barely abnormal. But they were like, Nope, we're gonna use 166 00:08:46,760 --> 00:08:49,800 Speaker 3: that because that's gonna go viral, which is exactly what's happening, right. 167 00:08:50,320 --> 00:08:54,320 Speaker 3: So I mean, I could be I could stand corrected 168 00:08:54,400 --> 00:08:57,880 Speaker 3: if they say next week, like she had to undergo 169 00:08:58,559 --> 00:09:02,480 Speaker 3: brain surgery and have this thing repaired and clipped or 170 00:09:02,840 --> 00:09:04,960 Speaker 3: you know, embolize, whatever they do for it. I just 171 00:09:05,160 --> 00:09:08,280 Speaker 3: I just don't. I just don't foresee that happening. I 172 00:09:08,320 --> 00:09:10,920 Speaker 3: just think that this and this has been a complaint 173 00:09:11,000 --> 00:09:14,040 Speaker 3: with this show since the newer ones come out that 174 00:09:14,200 --> 00:09:17,960 Speaker 3: every single episode is just an ad for their their brand, 175 00:09:18,000 --> 00:09:21,920 Speaker 3: and this is just an ad and nobody is looking 176 00:09:21,960 --> 00:09:22,600 Speaker 3: at it like that. 177 00:09:23,400 --> 00:09:25,640 Speaker 4: Well, you know, a lot of people have been complaining 178 00:09:25,640 --> 00:09:28,360 Speaker 4: about that. There's this show on Netflix called Nobody Wants 179 00:09:28,440 --> 00:09:30,640 Speaker 4: Us with Kristen Bell and Adam Brody and it's this 180 00:09:30,720 --> 00:09:33,400 Speaker 4: huge show and the second season just came out last Wednesday. 181 00:09:33,679 --> 00:09:35,560 Speaker 4: And I like the show. It's like cute and fun, 182 00:09:35,800 --> 00:09:38,960 Speaker 4: but definitely between season one last year and this season, 183 00:09:39,040 --> 00:09:42,480 Speaker 4: I'm like, the product placement is unbelievable. They will literally 184 00:09:42,559 --> 00:09:45,720 Speaker 4: be holding up a Dunkin Donuts cup for like ten minutes. 185 00:09:46,240 --> 00:09:49,480 Speaker 4: It's outrageous, and they'll be talking so much about. 186 00:09:49,320 --> 00:09:52,000 Speaker 1: A product it's like they don't even try to hide 187 00:09:52,080 --> 00:09:53,920 Speaker 1: it in the you know when you watch Seinfeld and 188 00:09:53,960 --> 00:09:55,640 Speaker 1: they're like, oh, I'm gonna eat an oreo. You know, 189 00:09:56,040 --> 00:09:59,080 Speaker 1: like little things like that. They are just straight up 190 00:09:59,080 --> 00:10:01,440 Speaker 1: holding products up for such a long time. And that's 191 00:10:01,480 --> 00:10:04,080 Speaker 1: the complaint because people are like, we're not stupid. There's 192 00:10:04,120 --> 00:10:07,400 Speaker 1: a way to like have some sort of subliminal messaging 193 00:10:07,400 --> 00:10:10,360 Speaker 1: where you're mentioning it and it's not so in our face. 194 00:10:11,000 --> 00:10:13,960 Speaker 3: Because yeah, because I think like if it wasn't an 195 00:10:14,000 --> 00:10:16,600 Speaker 3: AD then you would have just you would have just said, oh, 196 00:10:16,640 --> 00:10:18,480 Speaker 3: she had an MRI, Like why are you saying what 197 00:10:18,559 --> 00:10:20,240 Speaker 3: brand of MRI she had? 198 00:10:20,640 --> 00:10:22,559 Speaker 2: Like it's just like, come on, dude, I. 199 00:10:22,559 --> 00:10:25,120 Speaker 4: Know somebody that got one of these done. What the 200 00:10:25,320 --> 00:10:27,480 Speaker 4: MRI the pranuvo. 201 00:10:27,040 --> 00:10:30,160 Speaker 3: Thing, Yeah, and and how I mean they. 202 00:10:30,000 --> 00:10:32,560 Speaker 4: Had positive results from it, but it was also like 203 00:10:32,760 --> 00:10:36,680 Speaker 4: unnecessary but whatever, I mean, because there it's just it's 204 00:10:36,720 --> 00:10:38,120 Speaker 4: just it's very exactly. 205 00:10:38,280 --> 00:10:40,680 Speaker 3: That's what's very important to say that it's not it's 206 00:10:40,760 --> 00:10:43,960 Speaker 3: not a screening test. I mean, you could use it 207 00:10:43,960 --> 00:10:45,440 Speaker 3: as that if you pay for it, but like, the 208 00:10:45,520 --> 00:10:48,400 Speaker 3: average person isn't getting that done the way that they 209 00:10:48,400 --> 00:10:50,760 Speaker 3: say it in the articles, like oh, this person's getting 210 00:10:51,640 --> 00:10:54,520 Speaker 3: a papsme or a colonoscopy or things that are are 211 00:10:54,880 --> 00:10:58,200 Speaker 3: typically covered by insurance that people are supposed to be 212 00:10:58,280 --> 00:11:03,559 Speaker 3: getting annually or semianally or whenever they're supposed to get 213 00:11:03,559 --> 00:11:07,360 Speaker 3: these certain tests done. So it's it's not a routine screening. 214 00:11:07,360 --> 00:11:09,960 Speaker 3: There's no person in the world that's just like oh yeah, 215 00:11:10,080 --> 00:11:13,840 Speaker 3: like it's it's such a skin like all of it. 216 00:11:15,000 --> 00:11:17,960 Speaker 3: So I think that's all that I really I really 217 00:11:18,120 --> 00:11:21,600 Speaker 3: wanted to say about that. I mean, the risk factors 218 00:11:21,640 --> 00:11:25,760 Speaker 3: that go along with aneurysms are, like I said, high 219 00:11:25,800 --> 00:11:30,280 Speaker 3: blood pressure. Also obviously if you drink, do cocaine, smoke, 220 00:11:30,440 --> 00:11:35,160 Speaker 3: that could increase it. It could just be like a genetic thing, 221 00:11:35,679 --> 00:11:37,360 Speaker 3: and it also could be a thing when she was 222 00:11:37,400 --> 00:11:40,160 Speaker 3: developing as a fetus that there's just like a weakness 223 00:11:40,200 --> 00:11:42,839 Speaker 3: in the wall there. There's certain conditions and syndrums. You 224 00:11:42,840 --> 00:11:45,440 Speaker 3: could see it with connective tissue disorders and stuff like. 225 00:11:45,760 --> 00:11:48,400 Speaker 3: I don't know what's going on with her, but if 226 00:11:48,440 --> 00:11:51,800 Speaker 3: it's minor, it's just like what of all right? 227 00:11:51,880 --> 00:11:55,439 Speaker 4: A woman is facing charges after accidentally setting her apartment 228 00:11:55,440 --> 00:11:58,200 Speaker 4: building on fire trying to kill a cockroach with a 229 00:11:58,280 --> 00:12:01,280 Speaker 4: lighter and hairspray, which then lets the death of her neighbor. 230 00:12:01,800 --> 00:12:05,880 Speaker 3: I know, it's like, oh, she used the makeshift flame frower, 231 00:12:05,960 --> 00:12:08,679 Speaker 3: and I was just like, okay, wait a second, what 232 00:12:08,720 --> 00:12:12,360 Speaker 3: did she use? Like what did you think was gonna happen? 233 00:12:12,440 --> 00:12:17,959 Speaker 3: And listen, cockroaches are are probably the worst. I like, really, 234 00:12:18,000 --> 00:12:21,800 Speaker 3: what's worse a cockroach or a mouse or in your house? 235 00:12:21,880 --> 00:12:24,760 Speaker 3: I don't even know. I would actually say, see, I 236 00:12:24,800 --> 00:12:27,439 Speaker 3: think like a cockroach is just so much worse because 237 00:12:28,760 --> 00:12:32,360 Speaker 3: I feel like with first, the mice are just bigger, 238 00:12:33,200 --> 00:12:36,280 Speaker 3: and you know, you can get that under control at 239 00:12:36,280 --> 00:12:38,200 Speaker 3: some point if you see them, if you have a 240 00:12:38,280 --> 00:12:41,319 Speaker 3: cat something like that. Like the cockroaches are just they 241 00:12:41,360 --> 00:12:44,319 Speaker 3: lay these eggs. You can't see them, and it's I 242 00:12:44,559 --> 00:12:46,480 Speaker 3: don't know, it freaks me out. 243 00:12:47,080 --> 00:12:50,720 Speaker 4: Usually if you see one, it means there's like hundreds, 244 00:12:50,840 --> 00:12:52,440 Speaker 4: find me exactly. 245 00:12:52,440 --> 00:12:55,959 Speaker 3: That's why I just like, like, fortunately I never had 246 00:12:55,960 --> 00:12:58,640 Speaker 3: to deal with them, but God, at the one hospital 247 00:12:58,640 --> 00:13:00,400 Speaker 3: I worked at they were in the more they were 248 00:13:00,400 --> 00:13:02,080 Speaker 3: coming out of the drain, it was just terrible and 249 00:13:02,120 --> 00:13:03,840 Speaker 3: it was like something you could just like never get 250 00:13:03,920 --> 00:13:07,559 Speaker 3: rid of, you know, and they don't. And like I 251 00:13:07,600 --> 00:13:12,320 Speaker 3: also have a thing with insects that don't fly, you know, 252 00:13:12,800 --> 00:13:15,439 Speaker 3: like if they if something comes in the room and flies, 253 00:13:15,480 --> 00:13:18,120 Speaker 3: then you're kind of like, Okay, that came from outside 254 00:13:18,200 --> 00:13:20,520 Speaker 3: or something. You could just justify it. But like big 255 00:13:20,559 --> 00:13:24,480 Speaker 3: things like that crawling like uh no, So I understand 256 00:13:24,480 --> 00:13:27,079 Speaker 3: that she wanted to kill it, but like could have 257 00:13:27,200 --> 00:13:28,360 Speaker 3: used a shoe, Like. 258 00:13:28,920 --> 00:13:30,600 Speaker 4: What is your most skewed bug? 259 00:13:31,880 --> 00:13:34,400 Speaker 3: Probably, I would say, like a cockroach or like those 260 00:13:34,440 --> 00:13:35,559 Speaker 3: water bugs. 261 00:13:35,760 --> 00:13:38,800 Speaker 4: The mine is sprickets because I have them in my basement. 262 00:13:38,840 --> 00:13:40,560 Speaker 4: I go down there the Changewa wash and you know, 263 00:13:40,600 --> 00:13:43,000 Speaker 4: my basement floor is like brown, so they blend into 264 00:13:43,000 --> 00:13:45,280 Speaker 4: the ground and then one will jump towards me and 265 00:13:45,320 --> 00:13:46,840 Speaker 4: it makes you want to die. 266 00:13:47,720 --> 00:13:48,400 Speaker 2: I hate it. 267 00:13:48,400 --> 00:13:49,720 Speaker 1: And what I don't even know if I told you 268 00:13:49,760 --> 00:13:51,800 Speaker 1: this one got in my hand for the other day. 269 00:13:51,880 --> 00:13:53,520 Speaker 1: When I dumped it on my bed, one of them 270 00:13:53,600 --> 00:13:55,280 Speaker 1: jumped out and I almost passed out. 271 00:13:55,400 --> 00:13:56,679 Speaker 4: They are so disgusting. 272 00:13:56,760 --> 00:13:59,960 Speaker 3: I don't understand. I don't understand them. I feel like 273 00:14:00,000 --> 00:14:02,880 Speaker 3: I've never seen one outside once. I only they're like 274 00:14:02,960 --> 00:14:04,640 Speaker 3: specific basement bugs. 275 00:14:05,080 --> 00:14:07,480 Speaker 4: Well there you know that little shed on the back 276 00:14:07,520 --> 00:14:11,120 Speaker 4: of my house. There's like a gajillion of them in there, really, 277 00:14:11,160 --> 00:14:13,440 Speaker 4: and I don't know where they come from. There show discussing, 278 00:14:13,440 --> 00:14:16,920 Speaker 4: and they're not always in my basement just sometimes. Yeah, 279 00:14:16,920 --> 00:14:19,040 Speaker 4: I guess they're kind of scary. I don't know, it's 280 00:14:19,120 --> 00:14:22,400 Speaker 4: just weird, like and it's weird how our mind does that? 281 00:14:22,520 --> 00:14:25,880 Speaker 3: Like, I feel like most people would say if they 282 00:14:26,320 --> 00:14:28,520 Speaker 3: saw like a ladybug, they would pick it up and 283 00:14:28,560 --> 00:14:31,720 Speaker 3: be like, oh, this is cute, and like or a 284 00:14:31,800 --> 00:14:33,680 Speaker 3: lightning bug, they would like let it crawl on them 285 00:14:33,720 --> 00:14:35,720 Speaker 3: and hold their you know, hold it on their hand, 286 00:14:35,760 --> 00:14:36,520 Speaker 3: and they would think. 287 00:14:36,320 --> 00:14:36,960 Speaker 2: It was cute. 288 00:14:37,600 --> 00:14:40,360 Speaker 3: And then when you think about like a cockroach, it's 289 00:14:40,440 --> 00:14:44,520 Speaker 3: just like people want to get a bottle of hairspray 290 00:14:44,560 --> 00:14:47,240 Speaker 3: and put a lighter towards it and set people's houses 291 00:14:47,240 --> 00:14:48,400 Speaker 3: on fire and kill people. 292 00:14:48,640 --> 00:14:50,960 Speaker 4: They're hard to kill them. You really can't just crush 293 00:14:51,000 --> 00:14:53,360 Speaker 4: one with your shoe and they can live. I think 294 00:14:53,400 --> 00:14:55,960 Speaker 4: they said that it will only bugs that could survive 295 00:14:56,120 --> 00:14:57,400 Speaker 4: like a nuclear attack. 296 00:14:57,760 --> 00:14:58,720 Speaker 2: They can live forever. 297 00:14:58,800 --> 00:15:00,720 Speaker 4: I think they can live a week with out their head. 298 00:15:01,480 --> 00:15:03,320 Speaker 4: They're very unusual creatures. 299 00:15:03,360 --> 00:15:05,360 Speaker 3: So we had, like I said, at one of the 300 00:15:05,400 --> 00:15:08,280 Speaker 3: hospitals I worked out, we had a serious cockroach problem 301 00:15:08,280 --> 00:15:10,360 Speaker 3: in the morgue. But we also had it just in 302 00:15:11,520 --> 00:15:13,720 Speaker 3: the part of the hospital that we were in where 303 00:15:13,720 --> 00:15:15,880 Speaker 3: the lab was and you would just be sitting there 304 00:15:15,920 --> 00:15:18,120 Speaker 3: and look up and you know, when you have like 305 00:15:18,160 --> 00:15:21,920 Speaker 3: a fluorescent light drop ceiling situation, you would be able 306 00:15:21,960 --> 00:15:24,600 Speaker 3: to see them like crawling on that piece of plastic 307 00:15:24,640 --> 00:15:26,200 Speaker 3: that covers the fluorescent light. 308 00:15:26,320 --> 00:15:27,000 Speaker 2: Yeah. 309 00:15:27,080 --> 00:15:29,160 Speaker 3: So one day we were sitting there and one of 310 00:15:29,200 --> 00:15:31,760 Speaker 3: the secretaries was back there and one of them like 311 00:15:32,080 --> 00:15:35,280 Speaker 3: fell out of this ceiling onto her jacket. Oh my god, 312 00:15:35,480 --> 00:15:38,440 Speaker 3: she was like a bo She was like she was 313 00:15:38,560 --> 00:15:42,160 Speaker 3: so emotionally disturbed by it, like it was I felt 314 00:15:42,240 --> 00:15:45,520 Speaker 3: terrible for her. But one day we tried to play 315 00:15:45,520 --> 00:15:49,239 Speaker 3: a trick on one of the pathologists. So we decided 316 00:15:49,280 --> 00:15:51,480 Speaker 3: that we were going to take one of these cockroaches 317 00:15:51,520 --> 00:15:53,120 Speaker 3: that we found, and we were going to and it 318 00:15:53,160 --> 00:15:55,800 Speaker 3: was already dead. So like for all those people that 319 00:15:55,840 --> 00:15:58,120 Speaker 3: are trying to protect bugs, it was already a dead bug. 320 00:15:58,600 --> 00:16:01,000 Speaker 3: And we were gonna we were going to play a 321 00:16:01,000 --> 00:16:03,680 Speaker 3: trick on one of the pathologists, and we were going 322 00:16:03,760 --> 00:16:05,760 Speaker 3: to tell them that it came down as a specimen 323 00:16:05,800 --> 00:16:08,920 Speaker 3: and it was in someone's ear, and we were going 324 00:16:08,960 --> 00:16:11,440 Speaker 3: to make a frozen section of it. So that's something 325 00:16:11,520 --> 00:16:15,640 Speaker 3: that we typically do when a person's getting surgery done 326 00:16:16,240 --> 00:16:18,720 Speaker 3: and they're open on the operating table. We'll look at 327 00:16:18,760 --> 00:16:22,320 Speaker 3: something under the microscope really fast to see if we 328 00:16:22,360 --> 00:16:26,000 Speaker 3: could Usually it's done to guide the surgeon to be like, oh, 329 00:16:26,040 --> 00:16:27,920 Speaker 3: you could close the person up, or you have to 330 00:16:27,960 --> 00:16:31,240 Speaker 3: take more tissue or something like that. So we made 331 00:16:31,320 --> 00:16:35,320 Speaker 3: up this whole story and we stick the cockroach in 332 00:16:35,520 --> 00:16:39,520 Speaker 3: this frozen bath of liquid nitrogen. To freeze it, and 333 00:16:39,880 --> 00:16:41,800 Speaker 3: we try to make a frozen section of it, and 334 00:16:41,840 --> 00:16:45,120 Speaker 3: we can't even cut it onto slides because the exoskeleton 335 00:16:45,240 --> 00:16:49,040 Speaker 3: is essentially like cartilage or bone, like you just can't 336 00:16:49,080 --> 00:16:51,840 Speaker 3: cut it with a blade that's like a razor blade. 337 00:16:52,320 --> 00:16:56,480 Speaker 3: But we got a couple chunks of like antennae, and 338 00:16:56,520 --> 00:16:59,120 Speaker 3: we brought the slide to the pathologists and we were like, 339 00:17:00,480 --> 00:17:02,720 Speaker 3: this was in someone's ear, what do you think it is? 340 00:17:02,800 --> 00:17:05,439 Speaker 3: And he looks at it under the microscope and he's like, well, 341 00:17:05,680 --> 00:17:08,960 Speaker 3: it's some kind of ants. I see bug parts under here. 342 00:17:09,000 --> 00:17:11,840 Speaker 3: Like it was so funny and we were laughing about it, 343 00:17:11,880 --> 00:17:13,760 Speaker 3: but we just didn't even think that we wouldn't be 344 00:17:13,800 --> 00:17:16,720 Speaker 3: able to cut the thing because it was so tough, 345 00:17:16,840 --> 00:17:18,280 Speaker 3: like the outer surface of it. 346 00:17:18,920 --> 00:17:21,600 Speaker 4: They really are so big and so gross, and people 347 00:17:21,640 --> 00:17:23,800 Speaker 4: think that the bigger ones are the issue, but really 348 00:17:23,840 --> 00:17:26,400 Speaker 4: the small brown ones are the serious problem. 349 00:17:26,640 --> 00:17:28,400 Speaker 2: Ew they're just eh. 350 00:17:28,440 --> 00:17:30,240 Speaker 4: So this is what happened in this case. So she 351 00:17:30,400 --> 00:17:34,159 Speaker 4: uses this makeshift flamethrower from the lighter in hairspray a 352 00:17:34,320 --> 00:17:36,840 Speaker 4: five point thirty in the morning, which sets the apartment 353 00:17:36,960 --> 00:17:39,640 Speaker 4: on fire. So then her neighbor who just gave birth 354 00:17:39,680 --> 00:17:42,080 Speaker 4: two months before her and her husband and their two 355 00:17:42,119 --> 00:17:44,960 Speaker 4: month old baby are in their apartment and the apartments 356 00:17:44,960 --> 00:17:47,359 Speaker 4: are filling up with smokes. They can't get out the 357 00:17:47,400 --> 00:17:50,199 Speaker 4: front door, so I guess there was another building or 358 00:17:50,240 --> 00:17:53,199 Speaker 4: part of this apartment building was only three feet away 359 00:17:53,240 --> 00:17:56,880 Speaker 4: out of their window about a meter, So they were 360 00:17:56,960 --> 00:17:59,919 Speaker 4: trying to get into this other apartment across the alleyway. 361 00:18:00,080 --> 00:18:02,280 Speaker 4: So they hand the baby over to the neighbor and 362 00:18:02,320 --> 00:18:05,199 Speaker 4: another apartment. The husband ends up getting over and then 363 00:18:05,240 --> 00:18:07,879 Speaker 4: the wife's going over and she fell five stories to 364 00:18:07,920 --> 00:18:08,359 Speaker 4: her death. 365 00:18:08,800 --> 00:18:12,000 Speaker 3: Yeah, like this, I mean, this is just like so irresponsible. 366 00:18:12,080 --> 00:18:15,520 Speaker 3: And that's the scary part when you live in close 367 00:18:15,600 --> 00:18:19,560 Speaker 3: quarters with people that you could do. You know, you 368 00:18:19,600 --> 00:18:21,320 Speaker 3: hear about this in New York all the time, with 369 00:18:21,440 --> 00:18:26,240 Speaker 3: the scooters and the bicycles catching on fire. But by 370 00:18:26,320 --> 00:18:29,080 Speaker 3: the way, so we went to New York last night 371 00:18:29,200 --> 00:18:34,640 Speaker 3: to see the screening of the Love and War documentary 372 00:18:34,760 --> 00:18:38,119 Speaker 3: for nat GEO Docs, which is going to be out 373 00:18:38,119 --> 00:18:41,879 Speaker 3: in a week or two, I believe, on Hulu. It 374 00:18:42,000 --> 00:18:44,879 Speaker 3: was awesome. I highly recommend you guys seeing it, but 375 00:18:45,240 --> 00:18:48,000 Speaker 3: you know, we don't, and certainly we go to New 376 00:18:48,080 --> 00:18:51,120 Speaker 3: York to go to the iHeartRadio, but we don't really 377 00:18:51,160 --> 00:18:54,160 Speaker 3: go at night usually, like sometimes you'll go get dinner 378 00:18:54,200 --> 00:18:56,760 Speaker 3: with our friends or whatever. But we got this really 379 00:18:56,800 --> 00:18:59,560 Speaker 3: awesome parking spot, but it was next to a bike 380 00:18:59,680 --> 00:19:03,520 Speaker 3: lane and we get out of the car and there's 381 00:19:03,640 --> 00:19:06,760 Speaker 3: people in this bike lane on those e scooters and 382 00:19:07,640 --> 00:19:10,800 Speaker 3: e bikes. It's scary as hell, Like, I feel like 383 00:19:12,000 --> 00:19:14,640 Speaker 3: you can get seriously injured, if not killed, if one 384 00:19:14,640 --> 00:19:17,920 Speaker 3: of those things hit you. It's just a weird thing 385 00:19:17,960 --> 00:19:20,920 Speaker 3: that I wasn't expecting. I almost feel more comfortable crossing 386 00:19:20,960 --> 00:19:24,359 Speaker 3: the street with moving cars than those things, because it 387 00:19:24,760 --> 00:19:26,520 Speaker 3: just was like the weirdest thing ever. That was a 388 00:19:26,560 --> 00:19:27,159 Speaker 3: side note. 389 00:19:27,560 --> 00:19:30,320 Speaker 4: I eclipped by somebody on a regular bike when I 390 00:19:30,400 --> 00:19:32,760 Speaker 4: was interning in New York and it was horrible. So 391 00:19:32,880 --> 00:19:35,280 Speaker 4: I can't imagine getting hit by one of those there 392 00:19:35,119 --> 00:19:36,199 Speaker 4: are little vehicles. 393 00:19:36,440 --> 00:19:39,720 Speaker 3: It's weird because they've again they've come on the scene 394 00:19:40,119 --> 00:19:42,720 Speaker 3: fairly quickly that there. I don't think there's been a 395 00:19:42,760 --> 00:19:46,199 Speaker 3: lot of laws implemented with them. It's just weird to 396 00:19:46,320 --> 00:19:49,439 Speaker 3: watch something that could go that fast be in something 397 00:19:49,480 --> 00:19:51,880 Speaker 3: that's considered to be a bicycle lane. I also think 398 00:19:51,920 --> 00:19:54,199 Speaker 3: it's probably dangerous for people that are on a regular 399 00:19:54,240 --> 00:19:54,800 Speaker 3: bike too. 400 00:19:55,400 --> 00:19:57,520 Speaker 4: Oh totally. Yeah, it can go pretty fast. 401 00:19:57,600 --> 00:19:59,760 Speaker 2: It was. It just was like a really weird thing. 402 00:20:00,359 --> 00:20:05,080 Speaker 3: I was just kind of scared to cross that particular lane. 403 00:20:05,560 --> 00:20:06,840 Speaker 2: What were we talking about? 404 00:20:06,880 --> 00:20:10,040 Speaker 3: I don't even understand, like the tangents, Oh, like living 405 00:20:10,080 --> 00:20:12,720 Speaker 3: in close quarters with someone. We've talked about this before, 406 00:20:12,800 --> 00:20:16,840 Speaker 3: that people will put their e bikes to charge with 407 00:20:16,920 --> 00:20:20,000 Speaker 3: these fake chargers and these fake batteries, and then it 408 00:20:20,040 --> 00:20:23,200 Speaker 3: sets the whole apartment building on fire. So even if 409 00:20:23,240 --> 00:20:25,879 Speaker 3: you're doing the right thing in your particular building, you 410 00:20:25,960 --> 00:20:28,240 Speaker 3: have to deal with everyone else that lives in your building. 411 00:20:28,280 --> 00:20:30,200 Speaker 3: Hopefully they're doing the right thing too. 412 00:20:31,000 --> 00:20:33,959 Speaker 4: Oh totally. And this woman's not the only person that 413 00:20:34,160 --> 00:20:36,200 Speaker 4: I mean, she died, but there was eight other people 414 00:20:36,200 --> 00:20:38,720 Speaker 4: that were injured in the fire. They just got minor 415 00:20:38,760 --> 00:20:41,679 Speaker 4: injuries though from smoke inhalation, which still sucks. None of 416 00:20:41,680 --> 00:20:45,240 Speaker 4: them were life threatening. But so they want to charge 417 00:20:45,240 --> 00:20:48,720 Speaker 4: this woman with accidentally starting a fire and causing death 418 00:20:48,720 --> 00:20:52,000 Speaker 4: by negligence, and I feel like that's reasonable. I mean, 419 00:20:52,119 --> 00:20:53,679 Speaker 4: what the fuck was she thinking? 420 00:20:53,840 --> 00:20:57,920 Speaker 3: I don't know, like why would you? Yeah, like, what 421 00:20:57,960 --> 00:21:01,800 Speaker 3: are you thinking? There's a thousand she could have used I. 422 00:21:01,760 --> 00:21:03,480 Speaker 4: Mean it doesn't make any sense. 423 00:21:03,560 --> 00:21:05,879 Speaker 2: Yeah, And I mean we don't know the full story 424 00:21:05,880 --> 00:21:06,119 Speaker 2: of it. 425 00:21:06,200 --> 00:21:08,600 Speaker 3: Like maybe it's a huge problem and she's called the 426 00:21:08,680 --> 00:21:11,080 Speaker 3: landlord a lot and they're not doing anything and she 427 00:21:11,280 --> 00:21:13,480 Speaker 3: you know what I mean, Like there might be more 428 00:21:13,520 --> 00:21:14,040 Speaker 3: to the story. 429 00:21:14,040 --> 00:21:16,120 Speaker 2: But still it's just. 430 00:21:17,760 --> 00:21:20,600 Speaker 4: That you can't just like go using Yeah, it's such 431 00:21:20,600 --> 00:21:21,600 Speaker 4: a flammable thing. 432 00:21:22,160 --> 00:21:24,040 Speaker 3: Yeah, if you're just like, if you're just like a 433 00:21:24,119 --> 00:21:26,760 Speaker 3: human living in society, like you should just know that. 434 00:21:26,760 --> 00:21:30,000 Speaker 3: That's a terrible idea. It's scary that you don't know that. 435 00:21:30,080 --> 00:21:30,480 Speaker 2: Actually. 436 00:21:31,520 --> 00:21:33,920 Speaker 4: Okay, back in May, this grandpa was staying at a 437 00:21:33,960 --> 00:21:36,560 Speaker 4: hotel because he was going to see his granddaughter graduate 438 00:21:36,600 --> 00:21:38,840 Speaker 4: from college the next day. And at the hotel he 439 00:21:39,000 --> 00:21:41,480 Speaker 4: is taking a shower, but the water was so hot 440 00:21:41,520 --> 00:21:44,800 Speaker 4: that he was essentially boiled alive and found unconscious a 441 00:21:44,840 --> 00:21:46,600 Speaker 4: little while later by his grandson. 442 00:21:47,280 --> 00:21:50,280 Speaker 3: So was he taking a shower or he was taking 443 00:21:50,359 --> 00:21:50,879 Speaker 3: a bath? 444 00:21:52,119 --> 00:21:53,080 Speaker 2: I think he was. 445 00:21:53,080 --> 00:21:56,239 Speaker 4: Taking a shower, But they were saying they found him 446 00:21:56,280 --> 00:21:58,679 Speaker 4: submerged in water. So was it one of those like 447 00:21:58,760 --> 00:22:03,399 Speaker 4: the drain wasn't fully or did he was he in 448 00:22:03,480 --> 00:22:05,800 Speaker 4: the bath and the shower head was turned on I'm 449 00:22:05,800 --> 00:22:10,080 Speaker 4: not really sure. Well, regardless, I think so. Gandhi actually 450 00:22:10,200 --> 00:22:13,600 Speaker 4: texted this morning and asked about this, like, what, how 451 00:22:13,920 --> 00:22:17,879 Speaker 4: the hell did this happen? And I think obviously the 452 00:22:17,960 --> 00:22:22,880 Speaker 4: headline's a little sensationalized, I mean, but technically not at 453 00:22:22,920 --> 00:22:27,439 Speaker 4: the same time, because what you know, I don't know 454 00:22:27,480 --> 00:22:29,760 Speaker 4: how it works in hotels, but I know in the house, 455 00:22:29,800 --> 00:22:34,880 Speaker 4: for example, our hot water heater, you could adjust how 456 00:22:34,920 --> 00:22:38,480 Speaker 4: hot the water is, and in our house we do 457 00:22:38,600 --> 00:22:41,440 Speaker 4: keep we keep the water extra hot, because number one, 458 00:22:41,480 --> 00:22:43,400 Speaker 4: I'd like to take really hot bass. But number two, 459 00:22:44,480 --> 00:22:47,879 Speaker 4: I find that it's easy to wash dishes if you 460 00:22:48,040 --> 00:22:49,960 Speaker 4: just if you eat dinner and you just run it 461 00:22:50,080 --> 00:22:52,080 Speaker 4: under really hot water, like you don't even. 462 00:22:51,880 --> 00:22:54,639 Speaker 3: Need to use soap. It just cleans the dish, you know. 463 00:22:54,720 --> 00:22:58,080 Speaker 3: That's what they do in restaurants and stuff too. I guess. 464 00:22:58,640 --> 00:22:59,840 Speaker 2: So I'm a. 465 00:23:00,000 --> 00:23:02,639 Speaker 3: Assuming that at hotels as well, there's some kind of 466 00:23:02,680 --> 00:23:06,760 Speaker 3: a gauge on it, because most cities and most states 467 00:23:06,840 --> 00:23:10,639 Speaker 3: recommend a certain temperature, so like one hundred and twenty 468 00:23:10,680 --> 00:23:14,400 Speaker 3: degrees for example, that they think that humans can tolerate, 469 00:23:14,520 --> 00:23:19,400 Speaker 3: just to prevent accidental burns like this. So there's that 470 00:23:19,840 --> 00:23:22,679 Speaker 3: this guy is also he's old, a little bit older, 471 00:23:23,000 --> 00:23:25,720 Speaker 3: seventy seven, So he's seventy seven. So when you get older, 472 00:23:25,760 --> 00:23:30,000 Speaker 3: your skin gets a lot thinner. You lose subcutaneous fat, 473 00:23:30,119 --> 00:23:32,840 Speaker 3: or the fat that's underneath of your skin. That's why 474 00:23:32,880 --> 00:23:35,320 Speaker 3: with old people you see that they get these huge 475 00:23:35,359 --> 00:23:37,800 Speaker 3: bruises on their arm just by like walking by the 476 00:23:37,840 --> 00:23:40,560 Speaker 3: table and bumping it, just because the skin gets so thin. 477 00:23:41,240 --> 00:23:45,040 Speaker 3: I don't know if you remember, like years ago about 478 00:23:45,040 --> 00:23:48,440 Speaker 3: this woman that got burned really bad with the hot 479 00:23:48,480 --> 00:23:51,800 Speaker 3: coffee at McDonald's. It was like this huge lawsuit and well. 480 00:23:51,760 --> 00:23:54,320 Speaker 4: Yeah, because even Seinfeld made an episode about it because 481 00:23:54,320 --> 00:23:55,240 Speaker 4: it was such a big deal. 482 00:23:55,400 --> 00:23:58,639 Speaker 3: Yeah, And when you look at the details of that case, 483 00:23:58,680 --> 00:24:01,160 Speaker 3: it was like the woman was a little bit elderly, 484 00:24:01,280 --> 00:24:03,560 Speaker 3: she had thinner skin, and she ended up getting third 485 00:24:03,600 --> 00:24:08,600 Speaker 3: degree burns, which arets should just not happen with with 486 00:24:08,880 --> 00:24:11,879 Speaker 3: coffee unless it's served too hot. And that was the 487 00:24:11,880 --> 00:24:14,560 Speaker 3: whole lawsuit was like it was served too hot. And 488 00:24:14,640 --> 00:24:16,920 Speaker 3: I'll tell you right now, like I get we get 489 00:24:18,160 --> 00:24:22,280 Speaker 3: coffee sometimes from a place and it's so hot, like 490 00:24:22,359 --> 00:24:24,920 Speaker 3: I can't even touch it for an hour at least, 491 00:24:24,960 --> 00:24:27,600 Speaker 3: it's just so hot, like it actually burns my hands 492 00:24:27,600 --> 00:24:30,720 Speaker 3: through the insulated cup. I just know that the temperature 493 00:24:30,840 --> 00:24:34,160 Speaker 3: is not right on it, and that's what's scary, because 494 00:24:34,160 --> 00:24:36,080 Speaker 3: when they're handing it to you through the drive through, 495 00:24:36,119 --> 00:24:38,560 Speaker 3: that just is a potential for it to fall on 496 00:24:38,640 --> 00:24:42,320 Speaker 3: you and burn you like that, right, So that so 497 00:24:42,560 --> 00:24:44,840 Speaker 3: in this case, if they find this guy dead in 498 00:24:44,920 --> 00:24:47,320 Speaker 3: the top, they're obviously going to do an autopsy to 499 00:24:47,359 --> 00:24:51,240 Speaker 3: try to find out exactly what happened. And when they 500 00:24:51,280 --> 00:24:55,679 Speaker 3: did the autopsy, they found that they didn't see anything 501 00:24:55,720 --> 00:24:58,600 Speaker 3: that would have caused his immediate death except the fact 502 00:24:58,600 --> 00:25:02,800 Speaker 3: that he had these burn on thirty percent of his body. 503 00:25:03,080 --> 00:25:08,040 Speaker 3: So what happens. You know, your skin's an organ, right. 504 00:25:08,080 --> 00:25:09,960 Speaker 3: A lot of people don't think about your skin being 505 00:25:10,000 --> 00:25:12,440 Speaker 3: an organ, but it's an organ. So when you get 506 00:25:12,440 --> 00:25:15,800 Speaker 3: burns on a large portion of your body, there's a 507 00:25:15,800 --> 00:25:18,240 Speaker 3: lot of different things to consider that could happen, but 508 00:25:19,440 --> 00:25:23,320 Speaker 3: in the immediate So in the future, you might think 509 00:25:23,359 --> 00:25:26,600 Speaker 3: about infections because your skin is the barrier that holds 510 00:25:26,760 --> 00:25:29,680 Speaker 3: you from the outside world, and when you don't have that, 511 00:25:29,720 --> 00:25:32,240 Speaker 3: you just have an increased risk of like bacteria stuff 512 00:25:32,240 --> 00:25:37,240 Speaker 3: getting through your skin. But that wouldn't happen instantaneously in 513 00:25:37,280 --> 00:25:41,600 Speaker 3: the immediate danger of getting burns Like this is because 514 00:25:41,600 --> 00:25:45,960 Speaker 3: your skin is also responsible for regulating your body temperature, 515 00:25:46,480 --> 00:25:49,080 Speaker 3: and your body temperature is important because your organs have 516 00:25:49,119 --> 00:25:51,080 Speaker 3: to stay at a certain temperature in order for them 517 00:25:51,119 --> 00:25:54,240 Speaker 3: to function correctly. So think about when you have a fever, 518 00:25:54,320 --> 00:25:57,600 Speaker 3: for example, that would be considered hyperthermia because you're you're 519 00:25:57,680 --> 00:26:00,280 Speaker 3: hotter than you're supposed to be. And think about like 520 00:26:00,320 --> 00:26:02,960 Speaker 3: how shitty you feel when you have one hundred degree fever, 521 00:26:03,080 --> 00:26:06,560 Speaker 3: even just a minor fever, you feel totally, you feel 522 00:26:06,560 --> 00:26:09,879 Speaker 3: like shit, right, So, so that that the skin is 523 00:26:09,920 --> 00:26:12,399 Speaker 3: helping regulate your body temperature, and when you have that 524 00:26:12,760 --> 00:26:15,560 Speaker 3: large of a portion of your skin burned, you could 525 00:26:15,560 --> 00:26:20,040 Speaker 3: be caught. You could get hyperthermia, and that's exactly what 526 00:26:20,240 --> 00:26:23,720 Speaker 3: or hypothermia you could. It fluctuates depending, but you can 527 00:26:24,720 --> 00:26:26,520 Speaker 3: die from that. It could cause your organs to shut 528 00:26:26,520 --> 00:26:29,000 Speaker 3: down and die from that. So they determined that that 529 00:26:29,200 --> 00:26:32,440 Speaker 3: was what killed him, and you know, of course they're 530 00:26:32,480 --> 00:26:34,199 Speaker 3: going to go back and the other factors are going 531 00:26:34,280 --> 00:26:36,159 Speaker 3: to be that he was older and his skin was thinner, 532 00:26:36,200 --> 00:26:38,200 Speaker 3: so he was like at more of a risk for burns, 533 00:26:38,240 --> 00:26:39,560 Speaker 3: and well, listen, to. 534 00:26:39,560 --> 00:26:42,119 Speaker 4: The details of this. They're saying the water was so 535 00:26:42,400 --> 00:26:45,600 Speaker 4: dangerously hot that they could not initially lift him from 536 00:26:45,680 --> 00:26:48,399 Speaker 4: the tub. As they struggled desperately to save him, they 537 00:26:48,400 --> 00:26:50,880 Speaker 4: were forced to watch in horror as his skin peeled 538 00:26:50,880 --> 00:26:53,560 Speaker 4: away from his body, and then they said they could 539 00:26:53,560 --> 00:26:55,680 Speaker 4: not touch him without burning themselves. 540 00:26:55,880 --> 00:26:59,720 Speaker 3: Yeah, and that wasn't even immediately after. That wasn't in 541 00:26:59,800 --> 00:27:02,359 Speaker 3: me iediately after, Like they didn't hear a because you 542 00:27:02,359 --> 00:27:05,399 Speaker 3: were saying he took a shower, So I'm assuming that 543 00:27:05,440 --> 00:27:07,720 Speaker 3: they would have. If he was taking a shower, there 544 00:27:07,760 --> 00:27:09,199 Speaker 3: would have been some kind of a thump. 545 00:27:09,880 --> 00:27:13,400 Speaker 4: The lawsuit is saying they believe they found him within minutes, 546 00:27:14,080 --> 00:27:14,639 Speaker 4: but I don't. 547 00:27:14,520 --> 00:27:16,120 Speaker 2: Think the water were still. 548 00:27:16,320 --> 00:27:18,760 Speaker 3: Yeah, and think about that, like when you when you 549 00:27:18,800 --> 00:27:21,920 Speaker 3: take a bath, when you're not in a bathtub, that 550 00:27:21,920 --> 00:27:25,119 Speaker 3: that has a jet, right, the water's hot and it 551 00:27:25,160 --> 00:27:29,199 Speaker 3: cools down pretty fast. So if it was that hot 552 00:27:30,040 --> 00:27:34,760 Speaker 3: there had there could have been something broke on whatever 553 00:27:34,880 --> 00:27:39,560 Speaker 3: regulator controls the temperature of it, or something happened. Maybe 554 00:27:39,600 --> 00:27:44,360 Speaker 3: they installed a new hot water heater. I know sometimes 555 00:27:44,359 --> 00:27:46,520 Speaker 3: when you go to airbnbs and stuff, the hot water 556 00:27:46,600 --> 00:27:48,600 Speaker 3: heater will be in the closet or something like. I 557 00:27:48,600 --> 00:27:50,720 Speaker 3: don't know if I've ever seen that at a hotel 558 00:27:50,840 --> 00:27:54,000 Speaker 3: that an actual person would have access to it to 559 00:27:54,200 --> 00:27:58,240 Speaker 3: change it like that, which is I guess also a 560 00:27:58,280 --> 00:28:02,080 Speaker 3: possibility if a person was there and taking showers and 561 00:28:02,200 --> 00:28:04,920 Speaker 3: didn't think the water was hot enough, someone could have 562 00:28:05,320 --> 00:28:07,560 Speaker 3: messed with it if they had access to it. I 563 00:28:07,640 --> 00:28:10,399 Speaker 3: just don't see that because it was a Marriott or something, right. 564 00:28:10,920 --> 00:28:14,840 Speaker 4: Yeah, do you think that it's possible he got in 565 00:28:14,960 --> 00:28:17,439 Speaker 4: the shower when it was a normal temperature and it 566 00:28:17,600 --> 00:28:19,600 Speaker 4: just got that hot so quickly that it kind of 567 00:28:19,640 --> 00:28:22,080 Speaker 4: like stunned his body that he couldn't move to turn 568 00:28:22,080 --> 00:28:22,520 Speaker 4: it off. 569 00:28:22,840 --> 00:28:24,440 Speaker 3: It could have just been a lot of different things. 570 00:28:24,480 --> 00:28:27,520 Speaker 3: Because another thing to consider is that they said they 571 00:28:27,560 --> 00:28:30,160 Speaker 3: found him submerged in water, which to me would mean 572 00:28:30,200 --> 00:28:33,440 Speaker 3: that the that it was plugged because normally the water 573 00:28:33,560 --> 00:28:34,400 Speaker 3: goes down the drain. 574 00:28:34,600 --> 00:28:38,080 Speaker 4: But is it possible he fell and blocked the drains? Yeah, 575 00:28:38,080 --> 00:28:39,240 Speaker 4: then it started filling up. 576 00:28:39,360 --> 00:28:40,360 Speaker 2: Yeah, that's possible. 577 00:28:40,520 --> 00:28:42,560 Speaker 3: It's also just possible the plug was in and the 578 00:28:42,560 --> 00:28:45,760 Speaker 3: water was filling up and then his feet to his 579 00:28:46,200 --> 00:28:49,080 Speaker 3: you know, mid calf, was submerged in water that hot 580 00:28:49,160 --> 00:28:52,760 Speaker 3: would also increase your body temperature and could make you, 581 00:28:52,760 --> 00:28:56,200 Speaker 3: you know, pass out. I don't know exactly what happened, 582 00:28:56,240 --> 00:29:01,040 Speaker 3: but they did say that he had high blood pressure, 583 00:29:01,040 --> 00:29:04,040 Speaker 3: which was a contributing factor. So that would be not 584 00:29:04,120 --> 00:29:07,520 Speaker 3: only from like looking at the medications that he's on 585 00:29:07,640 --> 00:29:10,440 Speaker 3: in a history of high blood pressure perhaps, but also 586 00:29:10,560 --> 00:29:14,400 Speaker 3: you could see if a person has long standing high 587 00:29:14,440 --> 00:29:16,840 Speaker 3: blood pressure, you could see that the pomp or the 588 00:29:16,960 --> 00:29:21,560 Speaker 3: left ventricle of their heart is enlarged because their heart 589 00:29:21,640 --> 00:29:23,959 Speaker 3: is working harder. And when you work, just like if 590 00:29:24,000 --> 00:29:26,000 Speaker 3: you work a muscle in your arm, it gets bigger. 591 00:29:26,920 --> 00:29:28,800 Speaker 3: It's the same exact thing with your heart, so it's 592 00:29:28,840 --> 00:29:32,160 Speaker 3: working harder and getting bigger. But they didn't think that 593 00:29:32,240 --> 00:29:34,680 Speaker 3: it was severe enough that it would have caused him 594 00:29:34,800 --> 00:29:37,880 Speaker 3: to die. And based with those burns, I mean this 595 00:29:37,920 --> 00:29:39,640 Speaker 3: is like a huge lawsuit. 596 00:29:39,760 --> 00:29:41,840 Speaker 4: Oh for sure. I mean totally unaccepted. 597 00:29:41,920 --> 00:29:51,120 Speaker 3: Yeah. Absolutely. 598 00:29:51,200 --> 00:29:53,959 Speaker 4: This episode is brought to you by the Gross Room. Guys, 599 00:29:54,000 --> 00:29:56,920 Speaker 4: we have the Gross Room on sale this week. It 600 00:29:57,040 --> 00:29:58,040 Speaker 4: is almost over. 601 00:29:58,280 --> 00:30:02,880 Speaker 3: And speaking of people getting boiled alive, we actually have 602 00:30:03,040 --> 00:30:05,800 Speaker 3: a case in the Grosser Room from when a person 603 00:30:06,040 --> 00:30:09,920 Speaker 3: was actually boiled alive. It's a it's a vintage case. 604 00:30:10,040 --> 00:30:15,959 Speaker 3: And it's really really, it's so disturbing. But you know, 605 00:30:16,240 --> 00:30:18,040 Speaker 3: that's why I was saying that the title of the 606 00:30:18,360 --> 00:30:23,400 Speaker 3: of the other article was a little sensationalized. But I 607 00:30:23,400 --> 00:30:26,360 Speaker 3: I was making Matza ball soup this weekend, and I 608 00:30:26,600 --> 00:30:28,479 Speaker 3: was making the broth. And when you do that, you 609 00:30:28,480 --> 00:30:31,480 Speaker 3: put a whole entire chicken and you cook it over 610 00:30:31,600 --> 00:30:36,480 Speaker 3: hours for it to really be boiled, right, and when 611 00:30:36,520 --> 00:30:39,120 Speaker 3: you get to the soup hours later, it's just like 612 00:30:39,560 --> 00:30:43,280 Speaker 3: the bones are completely separated from the meat. And that 613 00:30:43,320 --> 00:30:46,280 Speaker 3: would that's what I think of boiled alive. And in 614 00:30:46,320 --> 00:30:50,040 Speaker 3: this case, in no, it's I mean it it's it's 615 00:30:50,160 --> 00:30:55,080 Speaker 3: it's really disturbing, but that's I mean, that's what it 616 00:30:55,120 --> 00:30:57,160 Speaker 3: is what it is. So in this case in the 617 00:30:57,200 --> 00:30:59,960 Speaker 3: grosser room. So this was a this was actually a friend. 618 00:31:00,120 --> 00:31:02,640 Speaker 3: Like Friday I wrote about what happens when a person 619 00:31:02,720 --> 00:31:06,320 Speaker 3: spoiled alive, this person was actually boiled alive and looks 620 00:31:06,600 --> 00:31:11,320 Speaker 3: more similar to the remains of my soup than just 621 00:31:11,360 --> 00:31:14,040 Speaker 3: a person that has severe burns on their body. Like 622 00:31:14,080 --> 00:31:19,000 Speaker 3: there's and something weird happened with the bone and it 623 00:31:19,080 --> 00:31:22,560 Speaker 3: involves a dog, and it's just this story is absolutely 624 00:31:22,560 --> 00:31:26,200 Speaker 3: crazy and it's actually probably a murder that was that 625 00:31:26,280 --> 00:31:29,760 Speaker 3: was hidden. But that's a side note. So what else 626 00:31:29,760 --> 00:31:31,680 Speaker 3: did we have going on in the grocerroom this week? Oh, 627 00:31:31,760 --> 00:31:35,320 Speaker 3: we had Scream, So we had Scream. We covered Scream. 628 00:31:35,400 --> 00:31:39,400 Speaker 3: So last year we did we did these high profile 629 00:31:39,920 --> 00:31:42,560 Speaker 3: movie dis sect like a movie dissection, where we went 630 00:31:42,600 --> 00:31:44,920 Speaker 3: through the movie Sleepy Hollow as well as the movie 631 00:31:44,960 --> 00:31:49,000 Speaker 3: Seven and just said is this probable or not? Is 632 00:31:49,000 --> 00:31:51,920 Speaker 3: this you know, all of the different scenes, we kind 633 00:31:51,960 --> 00:31:53,720 Speaker 3: of go through put clips of the movie and it 634 00:31:53,760 --> 00:31:57,280 Speaker 3: was really fun. So which if you join the grocerroom, 635 00:31:57,320 --> 00:31:59,360 Speaker 3: you all have access to all that stuff too. But 636 00:31:59,480 --> 00:32:02,320 Speaker 3: then this year we did Scream, and we did it 637 00:32:02,360 --> 00:32:05,360 Speaker 3: a little differently because Scream was actually based on a 638 00:32:05,400 --> 00:32:10,800 Speaker 3: real life serial killer and it's just cool to see 639 00:32:11,000 --> 00:32:13,800 Speaker 3: what parts of the actual story they took and just 640 00:32:13,840 --> 00:32:16,320 Speaker 3: like what was the inspiration for the movie and compare 641 00:32:16,320 --> 00:32:19,920 Speaker 3: and can trast the different things. But then we also 642 00:32:20,000 --> 00:32:24,120 Speaker 3: compare it to another murder case that's more recent and 643 00:32:25,440 --> 00:32:30,040 Speaker 3: one of the most disturbing, really disturbing serial killers out 644 00:32:30,040 --> 00:32:32,840 Speaker 3: there that's not talked about that much, So make sure. 645 00:32:32,640 --> 00:32:34,920 Speaker 4: That you check that out too. Head over to the 646 00:32:34,960 --> 00:32:36,920 Speaker 4: gross Room. Dot com now to get one year for 647 00:32:36,960 --> 00:32:38,680 Speaker 4: only twenty dollars. 648 00:32:40,280 --> 00:32:40,680 Speaker 2: Okay. 649 00:32:41,080 --> 00:32:43,000 Speaker 4: This woman went to visit her seventy five year old 650 00:32:43,080 --> 00:32:45,280 Speaker 4: uncle at his retirement home and when she got there, 651 00:32:45,360 --> 00:32:47,800 Speaker 4: she found him dead in his chair, saying he looked 652 00:32:47,800 --> 00:32:52,520 Speaker 4: like a skeleton. This is another like lawsuit worthy. 653 00:32:52,840 --> 00:32:54,760 Speaker 2: What the hell is going on at this place? 654 00:32:54,880 --> 00:32:59,800 Speaker 4: They had man dates to check in on the people 655 00:33:00,400 --> 00:33:02,720 Speaker 4: and the residence if they didn't hear from them by 656 00:33:02,720 --> 00:33:06,040 Speaker 4: a certain point every day, and they did not do that, yeah, 657 00:33:06,160 --> 00:33:09,560 Speaker 4: for what was it, three or four days? Yeah, so 658 00:33:09,600 --> 00:33:12,200 Speaker 4: it ended up being the sheriff said they thought he 659 00:33:12,360 --> 00:33:15,920 Speaker 4: was sitting there basically for three to four days. And obviously, 660 00:33:16,000 --> 00:33:18,120 Speaker 4: like if he just died of natural causes, like them 661 00:33:18,200 --> 00:33:21,120 Speaker 4: checking on him or not, wouldn't have made him, you know, 662 00:33:22,160 --> 00:33:24,320 Speaker 4: would have revived him. But he shouldn't have been sitting 663 00:33:24,360 --> 00:33:26,320 Speaker 4: there for three to four days. It's disgraceful. 664 00:33:27,200 --> 00:33:34,320 Speaker 3: The whole entire thing is actually interesting because obviously so 665 00:33:34,400 --> 00:33:37,680 Speaker 3: it happened in shccer Maricopa County. It seems like that's 666 00:33:37,720 --> 00:33:40,600 Speaker 3: where all the shady business is happening there in Arizona. 667 00:33:41,200 --> 00:33:44,680 Speaker 3: So in Arizona it's hot as hell still, so I 668 00:33:44,720 --> 00:33:47,560 Speaker 3: would assume that buildings like that have air conditioning, so 669 00:33:47,960 --> 00:33:51,160 Speaker 3: that would definitely slow down decomposition for sure, but it 670 00:33:51,160 --> 00:33:54,480 Speaker 3: would still be happening. And I would think after three 671 00:33:54,560 --> 00:33:57,280 Speaker 3: to four days of a body being out in room 672 00:33:57,320 --> 00:34:01,479 Speaker 3: temperature like that that it would start to And I 673 00:34:01,520 --> 00:34:06,040 Speaker 3: don't believe that it looked I mean, I definitely think 674 00:34:06,040 --> 00:34:09,319 Speaker 3: that it could have had some changes that could have 675 00:34:09,600 --> 00:34:13,000 Speaker 3: make the face appear to be more sunken in, But 676 00:34:13,360 --> 00:34:17,200 Speaker 3: I don't think that the body looked like a skeleton, 677 00:34:17,960 --> 00:34:21,640 Speaker 3: because it's just there's not enough time for that to happen. 678 00:34:22,280 --> 00:34:25,919 Speaker 4: No, I mean, it was probably more just her misspeaking 679 00:34:26,040 --> 00:34:27,040 Speaker 4: about seeing No. 680 00:34:27,160 --> 00:34:30,960 Speaker 3: I'm sure he looked disturbing as hell. And I guess 681 00:34:31,160 --> 00:34:34,720 Speaker 3: the thing that's more that's bothersome to me is that 682 00:34:34,719 --> 00:34:39,080 Speaker 3: that no one smelled that. If they're living in rooms 683 00:34:39,120 --> 00:34:41,680 Speaker 3: within a building like that, I just can't imagine that 684 00:34:41,680 --> 00:34:48,600 Speaker 3: that wasn't addressed. And obviously, I mean that's the scary. 685 00:34:48,680 --> 00:34:51,480 Speaker 3: It's it's almost like sticking your kid in a daycare center, 686 00:34:51,600 --> 00:34:54,120 Speaker 3: like you don't you trust, and you go visit and 687 00:34:54,160 --> 00:34:58,920 Speaker 3: you think it's okay, but you have these either babies 688 00:34:58,920 --> 00:35:02,799 Speaker 3: that can't talk for them adults that can't talk for themselves, 689 00:35:02,800 --> 00:35:07,440 Speaker 3: that are they can possibly be getting mistreated and you 690 00:35:07,440 --> 00:35:11,360 Speaker 3: wouldn't even know it, and that's why you pay for 691 00:35:11,560 --> 00:35:13,359 Speaker 3: I mean, like the guy would have been better off 692 00:35:13,400 --> 00:35:14,920 Speaker 3: being at his house by himself. 693 00:35:15,600 --> 00:35:18,280 Speaker 4: Yeah, but all right, So like, yeah, and I think 694 00:35:18,360 --> 00:35:21,600 Speaker 4: that the niece was really trusting of this facility because 695 00:35:21,640 --> 00:35:25,080 Speaker 4: their policy was that they were that all residents were 696 00:35:25,120 --> 00:35:27,719 Speaker 4: supposed to push a button a signal that they were 697 00:35:27,760 --> 00:35:30,600 Speaker 4: all right by ten am every day, and if the 698 00:35:30,680 --> 00:35:33,279 Speaker 4: staff did not receive that signal from them, they were 699 00:35:33,320 --> 00:35:36,240 Speaker 4: supposed to reach out. But in his case, he didn't 700 00:35:36,239 --> 00:35:38,479 Speaker 4: push the button. They said, they tried to call him, 701 00:35:38,760 --> 00:35:40,839 Speaker 4: couldn't get in touch with him, and then nobody ever 702 00:35:40,880 --> 00:35:43,600 Speaker 4: physically went up to his apartment to check on him, 703 00:35:43,640 --> 00:35:47,480 Speaker 4: which is completely unacceptable. But his wife just died. He 704 00:35:47,680 --> 00:35:50,719 Speaker 4: only has lived in this place since January, and seemingly 705 00:35:50,840 --> 00:35:53,680 Speaker 4: it had seemed like a good place to be until this. 706 00:35:54,040 --> 00:35:55,640 Speaker 2: Yeah, it could exactly. 707 00:35:55,280 --> 00:35:59,960 Speaker 3: Like it just it could just be like, uh a, 708 00:36:00,120 --> 00:36:02,040 Speaker 3: you know, we were talking a couple of weeks ago 709 00:36:02,080 --> 00:36:06,759 Speaker 3: about that that nurse that handed you know, there was 710 00:36:06,800 --> 00:36:10,600 Speaker 3: the wrong baby handed to the wrong mother. Yeah, it's 711 00:36:10,680 --> 00:36:14,080 Speaker 3: just like It probably has something to do with a 712 00:36:14,239 --> 00:36:17,279 Speaker 3: change in shifts and people not following some kind of 713 00:36:17,320 --> 00:36:21,120 Speaker 3: protocol that they should be following, and multiple you know, 714 00:36:21,160 --> 00:36:23,040 Speaker 3: we were saying with the case with the nurse, there's 715 00:36:23,080 --> 00:36:26,640 Speaker 3: like multiple checks in place, so if some if something 716 00:36:26,680 --> 00:36:29,160 Speaker 3: does fall through the cracks, like the next backup person 717 00:36:29,239 --> 00:36:32,759 Speaker 3: is supposed to catch it. All of the systems in 718 00:36:32,800 --> 00:36:35,160 Speaker 3: the hospital are set up like that, and it's probably 719 00:36:35,200 --> 00:36:38,959 Speaker 3: some kind of failure with that, I would say more 720 00:36:39,000 --> 00:36:42,319 Speaker 3: than if if the place has a pretty good rep 721 00:36:42,360 --> 00:36:44,480 Speaker 3: I would say it's probably that more than just like 722 00:36:44,640 --> 00:36:45,680 Speaker 3: pure negligence. 723 00:36:46,640 --> 00:36:49,879 Speaker 4: Well yeah, I mean I could even see if there 724 00:36:49,960 --> 00:36:52,200 Speaker 4: was a shift change on day one and they missed it, 725 00:36:52,280 --> 00:36:53,960 Speaker 4: But three to four days in a. 726 00:36:53,960 --> 00:36:57,000 Speaker 3: Row, now, yeah, not even day one. I mean, it's 727 00:36:57,040 --> 00:36:58,120 Speaker 3: just it's not it's not. 728 00:36:58,080 --> 00:37:01,560 Speaker 4: Unacceptable too, but you could see it, you know, happening 729 00:37:01,600 --> 00:37:04,120 Speaker 4: a little more in that situation, but clearly they were 730 00:37:04,120 --> 00:37:04,960 Speaker 4: not doing their job. 731 00:37:05,080 --> 00:37:08,280 Speaker 3: And just like you going and visiting your family member 732 00:37:08,440 --> 00:37:10,799 Speaker 3: and thinking you're going to see them alive and then 733 00:37:10,840 --> 00:37:14,160 Speaker 3: seeing them dead would be traumatic in itself, but to 734 00:37:14,239 --> 00:37:17,680 Speaker 3: see a dead body that's decomposing is just so traumatic 735 00:37:17,760 --> 00:37:21,919 Speaker 3: and we'll never get erased out of that woman's mind. 736 00:37:22,640 --> 00:37:25,799 Speaker 3: You know, that's that's like a pain and suffrage situation. 737 00:37:25,920 --> 00:37:26,480 Speaker 2: I sure as ill. 738 00:37:26,480 --> 00:37:28,239 Speaker 3: I wouldn't want to see my loved one like that. 739 00:37:28,480 --> 00:37:31,080 Speaker 4: So and she shouldn't have had Yeah, she shouldn't have 740 00:37:31,600 --> 00:37:34,279 Speaker 4: had two you exactly. It's absolutely ridiculous. 741 00:37:35,040 --> 00:37:35,360 Speaker 3: Okay. 742 00:37:35,440 --> 00:37:38,120 Speaker 4: Earlier this week, a truck transporting monkeys to a Florida 743 00:37:38,160 --> 00:37:41,680 Speaker 4: testing lab gotten horrific accident, causing the monkeys to get loose, 744 00:37:41,960 --> 00:37:45,319 Speaker 4: and apparently the driver incorrectly told police that they were 745 00:37:45,400 --> 00:37:48,680 Speaker 4: very dangerous and infected with herpes hepatato sea in COVID. 746 00:37:48,960 --> 00:37:51,320 Speaker 4: So people were freaking out, but it was not true 747 00:37:51,320 --> 00:37:52,880 Speaker 4: that they were infected with anything. 748 00:37:54,480 --> 00:37:58,040 Speaker 3: So when I first heard that, like I barely know 749 00:37:58,200 --> 00:38:00,880 Speaker 3: anything about what gets done in RESAR, but just to me, 750 00:38:01,000 --> 00:38:04,960 Speaker 3: I just was like, this is why would they purposely 751 00:38:05,040 --> 00:38:09,680 Speaker 3: infect monkeys with all of these different viruses? 752 00:38:09,719 --> 00:38:10,440 Speaker 2: Like I could. 753 00:38:10,320 --> 00:38:14,360 Speaker 3: See one and maybe even two if you want to 754 00:38:14,400 --> 00:38:17,560 Speaker 3: see how they act together. It's just a little like 755 00:38:17,680 --> 00:38:19,960 Speaker 3: what study are they doing? Oh, we want to see 756 00:38:20,000 --> 00:38:24,359 Speaker 3: the implications of a monkey that has viral hepatitis that 757 00:38:24,520 --> 00:38:27,680 Speaker 3: also gets a COVID infection and a herpes infection at 758 00:38:27,680 --> 00:38:30,160 Speaker 3: the same time, like it just seems like a little 759 00:38:30,160 --> 00:38:34,319 Speaker 3: bit of a stretch to do that, to give these 760 00:38:34,360 --> 00:38:37,600 Speaker 3: monkeys that, so so I was just kind of like, Okay, 761 00:38:37,640 --> 00:38:42,600 Speaker 3: I just don't understand why this guy thought that and 762 00:38:42,640 --> 00:38:44,400 Speaker 3: why he said it out loud or did it just 763 00:38:44,440 --> 00:38:45,759 Speaker 3: get lost in translation. 764 00:38:47,239 --> 00:38:50,320 Speaker 4: I'm sure, but the university they were being transported from 765 00:38:50,360 --> 00:38:53,000 Speaker 4: was saying they didn't have any infectious diseases at all, 766 00:38:53,080 --> 00:38:55,759 Speaker 4: So I'm not really sure where that even came from. 767 00:38:55,800 --> 00:38:59,040 Speaker 4: It seems like it was totally fabricated. But before they 768 00:38:59,120 --> 00:39:02,760 Speaker 4: knew that they caught some of the monkeys and euthanize. 769 00:39:02,160 --> 00:39:07,240 Speaker 3: Them, Well, I was thinking that too, just in general, 770 00:39:07,480 --> 00:39:10,279 Speaker 3: I mean they have I mean, what's the difference like 771 00:39:10,320 --> 00:39:13,960 Speaker 3: those those those monkeys are getting killed. They're being used 772 00:39:14,000 --> 00:39:16,880 Speaker 3: for scientific research, so they would have gotten killed either 773 00:39:16,880 --> 00:39:19,760 Speaker 3: way when they were done with them. And it's it's 774 00:39:19,840 --> 00:39:25,560 Speaker 3: actually upsetting because there were reports that these monkeys were aggressive. 775 00:39:25,680 --> 00:39:28,280 Speaker 3: But was that false too, I'm not sure. 776 00:39:29,120 --> 00:39:35,840 Speaker 4: Well, you know, they were saying that the monkeys weren't dangerous, but. 777 00:39:35,200 --> 00:39:40,560 Speaker 3: But they weren't dangerous from a transmissible infection standpoint or 778 00:39:41,480 --> 00:39:43,920 Speaker 3: like to personally, I don't think they were dangerous from 779 00:39:44,160 --> 00:39:48,759 Speaker 3: what you're saying, but after you watch you know, documentaries 780 00:39:48,760 --> 00:39:51,920 Speaker 3: and stuff like chim crazy, monkeys are not necessarily the 781 00:39:52,000 --> 00:39:54,840 Speaker 3: safest well animals to be around humans. 782 00:39:54,880 --> 00:39:55,799 Speaker 2: This is the thing though. 783 00:39:55,960 --> 00:39:59,560 Speaker 3: Chimps are are closest to us that if you were 784 00:39:59,600 --> 00:40:02,080 Speaker 3: to do it would be the best because they're they're 785 00:40:02,160 --> 00:40:06,400 Speaker 3: genetically the closest to us. But they get a little angy, 786 00:40:06,719 --> 00:40:10,400 Speaker 3: like yeah, like I think Charlette Nash, Charlotte, Yeah, Charlotte 787 00:40:10,440 --> 00:40:14,280 Speaker 3: Nash like, which is another another one we wrote about 788 00:40:14,320 --> 00:40:17,279 Speaker 3: in the Gross Room with a disturbing of of that, 789 00:40:17,480 --> 00:40:19,239 Speaker 3: and you said, there's like a whole isn't there like 790 00:40:19,239 --> 00:40:20,319 Speaker 3: a whole show about that? 791 00:40:20,520 --> 00:40:20,719 Speaker 4: Yeah? 792 00:40:20,800 --> 00:40:22,040 Speaker 2: Chimp crazy. Yeah. 793 00:40:22,080 --> 00:40:25,640 Speaker 4: So they follow around this woman Tanya that's like absolutely 794 00:40:25,680 --> 00:40:27,160 Speaker 4: insane that has this chimp. 795 00:40:27,400 --> 00:40:28,279 Speaker 2: She like stole one. 796 00:40:28,400 --> 00:40:32,239 Speaker 4: It was like fugitive, it's insane. But they did have 797 00:40:32,280 --> 00:40:34,799 Speaker 4: a I think the second episode is all about the 798 00:40:34,880 --> 00:40:38,640 Speaker 4: other incident where the that chimp ripped off Carla Nash's 799 00:40:38,640 --> 00:40:41,480 Speaker 4: face and it was horrific. I mean that you were 800 00:40:41,520 --> 00:40:43,680 Speaker 4: saying you were maybe gonna show Lucia because she like 801 00:40:43,719 --> 00:40:45,480 Speaker 4: Tiger King, and I was like, I don't know. It 802 00:40:45,560 --> 00:40:47,600 Speaker 4: was pretty disturbing to watch as an adult. 803 00:40:47,640 --> 00:40:49,160 Speaker 2: I don't know the story. 804 00:40:49,360 --> 00:40:53,960 Speaker 3: The story is disturbing. So it's this monkey's called the 805 00:40:54,040 --> 00:40:56,600 Speaker 3: recis monkey. I think it's called but I guess they 806 00:40:56,680 --> 00:40:59,359 Speaker 3: use this particular one because there's a lot of them. 807 00:40:59,400 --> 00:41:02,640 Speaker 3: They grow or they grow, they live in all different 808 00:41:02,680 --> 00:41:05,799 Speaker 3: parts of the world, so they're easy to get and 809 00:41:06,680 --> 00:41:11,040 Speaker 3: they obviously they have a more chill disposition than a 810 00:41:11,160 --> 00:41:15,120 Speaker 3: chimp would have. But the thing is with primates is 811 00:41:15,160 --> 00:41:20,040 Speaker 3: that they're very intelligent animals, so they know what's going 812 00:41:20,080 --> 00:41:26,319 Speaker 3: on this particular species, which is really crazy that they 813 00:41:26,360 --> 00:41:28,879 Speaker 3: say this. When they're studying them. They said that they 814 00:41:28,920 --> 00:41:32,800 Speaker 3: have social intelligence. They side with relatives when fights happen. 815 00:41:32,920 --> 00:41:37,400 Speaker 3: They're very family oriented. They recruit allies when they attack 816 00:41:37,560 --> 00:41:42,440 Speaker 3: most and most of their daily lives are spent building 817 00:41:42,640 --> 00:41:47,839 Speaker 3: political alliances. So to me, if they're able to do 818 00:41:47,920 --> 00:41:50,200 Speaker 3: all that, then I would think if they see that 819 00:41:50,280 --> 00:41:53,680 Speaker 3: they're under the control of humans that are doing things 820 00:41:53,719 --> 00:41:56,560 Speaker 3: on them that hurt them, that they're like kind of 821 00:41:56,640 --> 00:41:59,239 Speaker 3: aware of what's happening a little bit more than the 822 00:41:59,320 --> 00:42:05,120 Speaker 3: average rabbit so does speak. So it is I mean, obviously, 823 00:42:05,200 --> 00:42:08,120 Speaker 3: like if they get let loose, they're gonna split, and 824 00:42:08,160 --> 00:42:10,239 Speaker 3: if they were enjoying it, why would they leave. They're 825 00:42:10,280 --> 00:42:15,240 Speaker 3: not enjoying it, right, They're leaving and now they're getting 826 00:42:16,080 --> 00:42:19,160 Speaker 3: so like their whole life was just for the purpose 827 00:42:19,239 --> 00:42:22,000 Speaker 3: of using them for that, and then they got destroyed 828 00:42:22,000 --> 00:42:26,359 Speaker 3: because of because they were potentially infectious, which you have 829 00:42:26,440 --> 00:42:30,080 Speaker 3: to do because they can transmit that to a human. 830 00:42:30,600 --> 00:42:33,160 Speaker 4: Well, I was gonna ask about the transmission to human, 831 00:42:33,239 --> 00:42:35,960 Speaker 4: but also, like I did notice they kept using the 832 00:42:36,080 --> 00:42:40,759 Speaker 4: terminology we've destroyed them, which was interesting, but I think 833 00:42:40,760 --> 00:42:44,120 Speaker 4: they were saying they killed them because of the infectious disease, 834 00:42:44,520 --> 00:42:46,800 Speaker 4: but then that part turned out not to be true 835 00:42:46,800 --> 00:42:50,080 Speaker 4: at all. But I get what you're saying in some capacity, 836 00:42:50,200 --> 00:42:53,799 Speaker 4: Like I hate when we covered I'm definitely not a 837 00:42:53,880 --> 00:42:56,719 Speaker 4: number one animal advocate, right, Like I'm not really fond 838 00:42:56,760 --> 00:42:59,000 Speaker 4: of animals that much, but I can definitely say it's 839 00:42:59,040 --> 00:43:01,160 Speaker 4: not right when, like, you know, a shark bites a 840 00:43:01,239 --> 00:43:03,799 Speaker 4: human when the shark is just in its home in 841 00:43:03,840 --> 00:43:06,479 Speaker 4: the ocean, and then the shark gets killed or a bear, 842 00:43:06,640 --> 00:43:09,520 Speaker 4: you know, like things like that really bothered me. So 843 00:43:09,680 --> 00:43:11,640 Speaker 4: I was like, this is so fucked up that they 844 00:43:11,760 --> 00:43:14,440 Speaker 4: like killed these monkeys after finding them but I guess 845 00:43:15,160 --> 00:43:17,799 Speaker 4: is it better that they got what they say destroyed 846 00:43:17,840 --> 00:43:20,000 Speaker 4: after they were found now than going to the lab 847 00:43:20,040 --> 00:43:22,680 Speaker 4: and continuing to get tortured the rest of their lives. 848 00:43:23,640 --> 00:43:27,040 Speaker 3: Yeah, I mean, it's just like do it now or 849 00:43:27,080 --> 00:43:30,520 Speaker 3: do it later kind of thing. It's the whole situation's 850 00:43:30,560 --> 00:43:33,719 Speaker 3: messed up. And it's actually we had a story while 851 00:43:33,719 --> 00:43:36,319 Speaker 3: we said this on our YouTube Live in the Grosser Room, 852 00:43:36,320 --> 00:43:38,200 Speaker 3: that we had a story last week that there was 853 00:43:38,239 --> 00:43:43,000 Speaker 3: some really bad accident and someone was transporting I mean cats. 854 00:43:43,120 --> 00:43:46,560 Speaker 3: It wasn't for research, it was for adoption. But the 855 00:43:46,600 --> 00:43:49,520 Speaker 3: same thing happened. The van that the cats were in 856 00:43:49,600 --> 00:43:53,600 Speaker 3: crash so bad that they were exposed to the street 857 00:43:53,680 --> 00:43:56,719 Speaker 3: and the cage is broke and they ran. And then 858 00:43:57,040 --> 00:44:00,000 Speaker 3: now you have I think they caught some of them, 859 00:44:00,120 --> 00:44:02,759 Speaker 3: but like you have cats living in the woods on 860 00:44:02,800 --> 00:44:05,000 Speaker 3: the side of a highway now that aren't used to 861 00:44:05,280 --> 00:44:08,200 Speaker 3: they could possibly be indoor cats and not used to 862 00:44:08,239 --> 00:44:09,040 Speaker 3: being outside. 863 00:44:10,040 --> 00:44:13,640 Speaker 4: So then some some outlets were reporting that three were 864 00:44:13,680 --> 00:44:16,239 Speaker 4: still missing, while some outlets were reporting that one was 865 00:44:16,280 --> 00:44:18,279 Speaker 4: still missing. So, I mean, that's kind of eerie to 866 00:44:18,320 --> 00:44:20,880 Speaker 4: just know a monkey is on the loose, And I 867 00:44:20,920 --> 00:44:23,360 Speaker 4: guess you don't know the full state of the monkey, 868 00:44:23,440 --> 00:44:26,399 Speaker 4: if it's being tortured in a labits whole life, if 869 00:44:26,400 --> 00:44:28,640 Speaker 4: it's gonna have normal behavior or not. And even when 870 00:44:28,680 --> 00:44:31,320 Speaker 4: they do have normal behavior, they can still be aggressive 871 00:44:31,320 --> 00:44:33,960 Speaker 4: towards humans, probably especially when they feel threatened. 872 00:44:34,080 --> 00:44:34,759 Speaker 3: Yeah. 873 00:44:34,920 --> 00:44:37,440 Speaker 4: So, I don't know if you saw this story this morning. 874 00:44:37,480 --> 00:44:40,320 Speaker 4: I just saw that people were out of Spirit Halloween 875 00:44:40,800 --> 00:44:43,839 Speaker 4: in Texas and this monkey wearing a diaper I seem, 876 00:44:43,880 --> 00:44:46,600 Speaker 4: singing from the ceiling and then the owner had to 877 00:44:46,680 --> 00:44:49,720 Speaker 4: lure it down with a cookie after the police were called. 878 00:44:49,880 --> 00:44:52,000 Speaker 4: But of like, why is the monkey in the store? 879 00:44:52,600 --> 00:44:55,879 Speaker 3: Well, it's probably the owner's monkey, right, Well, no. 880 00:44:55,880 --> 00:44:57,759 Speaker 4: I'm talking with the owner of the monkey. I don't 881 00:44:57,760 --> 00:44:59,160 Speaker 4: think it's a story's owner. 882 00:44:59,440 --> 00:45:04,960 Speaker 3: Oh okay, yeah, so, because because there's definitely like this, 883 00:45:06,440 --> 00:45:09,440 Speaker 3: there's been a change over the past couple of years 884 00:45:09,440 --> 00:45:12,920 Speaker 3: that there's not this line of like where is it 885 00:45:12,960 --> 00:45:18,200 Speaker 3: appropriate to bring animals? And obviously, like dogs are the 886 00:45:18,239 --> 00:45:21,200 Speaker 3: most socially acceptable ones, so people bring them to restaurants 887 00:45:21,200 --> 00:45:24,279 Speaker 3: and stuff like that. I don't know if it's necessary 888 00:45:24,280 --> 00:45:26,480 Speaker 3: that we put the ministroller and bring them to the mall, 889 00:45:26,560 --> 00:45:28,120 Speaker 3: but okay, do. 890 00:45:28,000 --> 00:45:29,600 Speaker 4: What everybody else do, do. 891 00:45:29,600 --> 00:45:30,440 Speaker 2: Whatever you want to do. 892 00:45:30,560 --> 00:45:35,279 Speaker 3: But whenever these lines are broken, then there's like the 893 00:45:36,040 --> 00:45:40,960 Speaker 3: habitual line crosser people that you know, they get exotic 894 00:45:41,080 --> 00:45:44,759 Speaker 3: animals like weird snakes and alligators and things like that 895 00:45:44,760 --> 00:45:49,480 Speaker 3: that you're not supposed to really even be handling in 896 00:45:49,520 --> 00:45:52,520 Speaker 3: your house, let alone bringing into public places and stuff 897 00:45:52,560 --> 00:45:56,240 Speaker 3: like that. So so this guy just had a monkey 898 00:45:56,280 --> 00:45:58,200 Speaker 3: with a diaper on and was like, you know what, 899 00:45:58,320 --> 00:46:00,280 Speaker 3: like I'm going to bring this monkey to the Hallween 900 00:46:00,320 --> 00:46:02,680 Speaker 3: store and get it a costume. And now you have 901 00:46:02,719 --> 00:46:05,799 Speaker 3: a monkey hanging from the rafters at Spirit Halloween. Like 902 00:46:06,000 --> 00:46:08,000 Speaker 3: that's that's where we're at right now. 903 00:46:08,680 --> 00:46:10,680 Speaker 4: Yeah, And I don't I don't know how the people 904 00:46:10,680 --> 00:46:12,680 Speaker 4: are responding in the store, but I would certainly not 905 00:46:12,760 --> 00:46:14,680 Speaker 4: be comfortable, which is like I know. 906 00:46:14,760 --> 00:46:18,279 Speaker 2: Running around. Yeah, I don't. I don't know. 907 00:46:18,320 --> 00:46:20,360 Speaker 4: I think having pet monkeys. 908 00:46:20,400 --> 00:46:22,240 Speaker 1: I think it was like real popular in the eighties, 909 00:46:22,320 --> 00:46:24,160 Speaker 1: right that you guys used to get like catalogs in 910 00:46:24,160 --> 00:46:25,960 Speaker 1: the mail where you like order them. I feel like 911 00:46:26,960 --> 00:46:29,080 Speaker 1: a friend of mine said, like in their house in 912 00:46:29,120 --> 00:46:30,399 Speaker 1: South Philly, they I. 913 00:46:30,360 --> 00:46:32,960 Speaker 3: Definitely never got a catalog to order a monkey. 914 00:46:33,480 --> 00:46:35,800 Speaker 4: Well, I know somebody that did in their childhood and 915 00:46:35,840 --> 00:46:39,960 Speaker 4: they're about your age, so I don't know, definitely interesting. 916 00:46:40,040 --> 00:46:42,040 Speaker 4: I don't understand who would want a pet monkey, but 917 00:46:42,080 --> 00:46:44,719 Speaker 4: if it's for you, just be careful don't. 918 00:46:44,560 --> 00:46:45,360 Speaker 2: End up in a series. 919 00:46:45,520 --> 00:46:49,680 Speaker 3: So these particular monkeys, there's videos online and they're actually 920 00:46:49,719 --> 00:46:53,920 Speaker 3: really insane that they'll be in whatever country that they're 921 00:46:53,960 --> 00:46:56,839 Speaker 3: in and they kind of get together and go up 922 00:46:56,840 --> 00:46:59,440 Speaker 3: to humans and open their purse and like steal their 923 00:46:59,480 --> 00:47:04,440 Speaker 3: wallet and stuff. They're very intelligent, so you have to 924 00:47:04,520 --> 00:47:09,520 Speaker 3: think that they're gonna be pissed off because they're they're 925 00:47:09,520 --> 00:47:11,160 Speaker 3: not being treated well, right. 926 00:47:11,040 --> 00:47:17,040 Speaker 4: And that's I'm saying, like, what, it's no quality of life? No, Okay, 927 00:47:17,120 --> 00:47:21,399 Speaker 4: let's move on to questions and your emails first. How 928 00:47:21,440 --> 00:47:24,560 Speaker 4: does having an autoimmune disease affect your viability as an 929 00:47:24,680 --> 00:47:25,360 Speaker 4: organ donor? 930 00:47:26,120 --> 00:47:29,279 Speaker 3: I think in general it probably doesn't unless there are 931 00:47:29,280 --> 00:47:34,520 Speaker 3: certain circumstances. I feel like, either if you're if you're 932 00:47:34,520 --> 00:47:37,680 Speaker 3: a living donor, or you're donating organs, or you're even 933 00:47:37,760 --> 00:47:43,040 Speaker 3: doing post mortem organ donation like skin or cornea. I 934 00:47:43,080 --> 00:47:46,440 Speaker 3: think that there's really not that many things that they 935 00:47:46,600 --> 00:47:50,520 Speaker 3: turned down except really like infections sometimes cancers or things 936 00:47:50,560 --> 00:47:55,600 Speaker 3: like that. But they could always use something, and I don't. 937 00:47:55,920 --> 00:47:59,200 Speaker 3: I would say, like, let's say, for example, a person 938 00:47:59,280 --> 00:48:03,400 Speaker 3: has a alcoholicseurosis, or if they have hepatitis and they 939 00:48:03,400 --> 00:48:06,120 Speaker 3: need a liver transplant, when there are livers that bad 940 00:48:06,160 --> 00:48:08,759 Speaker 3: that they say you need a liver transplant and you 941 00:48:08,800 --> 00:48:13,680 Speaker 3: can't live without one, Taking a liver from somebody even 942 00:48:13,760 --> 00:48:18,160 Speaker 3: with rheumatar arthritis or any kind of autoimmune disease would 943 00:48:18,160 --> 00:48:23,799 Speaker 3: be better than nothing. The only time I could see 944 00:48:23,800 --> 00:48:27,200 Speaker 3: that that might be a problem is if there's an 945 00:48:27,239 --> 00:48:32,479 Speaker 3: autoimmune hepatitis, just because there could be damage to the liver. 946 00:48:32,600 --> 00:48:36,080 Speaker 3: But even so, I'm not really sure what the criteria are. 947 00:48:36,160 --> 00:48:39,640 Speaker 3: But I really and the same with skin, like you 948 00:48:39,640 --> 00:48:43,160 Speaker 3: could have some kind of autoimmune skin conditions, so they 949 00:48:43,239 --> 00:48:46,239 Speaker 3: might not want to donate that. But I just I 950 00:48:46,239 --> 00:48:49,239 Speaker 3: don't really think that it's an issue, but I could 951 00:48:49,320 --> 00:48:50,959 Speaker 3: be wrong. I'm not one hundred percent sure. 952 00:48:52,239 --> 00:48:54,799 Speaker 4: All right too, This from Renee. I love your show. 953 00:48:54,840 --> 00:48:57,560 Speaker 4: I never missed an episode. I downloaded twelve hours of 954 00:48:57,600 --> 00:49:00,279 Speaker 4: your older podcast while flying to Europe this summer. Can't 955 00:49:00,280 --> 00:49:03,040 Speaker 4: get enough of you girls in the Crazy Stories. I 956 00:49:03,080 --> 00:49:05,480 Speaker 4: really want to know what Nicole has to say about 957 00:49:05,520 --> 00:49:09,760 Speaker 4: placenta specimens. Does the hospital sell them? Are they really 958 00:49:09,800 --> 00:49:12,960 Speaker 4: worth what people are saying they are fifty K Is 959 00:49:13,000 --> 00:49:15,680 Speaker 4: there a special protocol for disposing of them or could 960 00:49:15,719 --> 00:49:17,680 Speaker 4: there be a way for a middleman to step in 961 00:49:17,800 --> 00:49:20,640 Speaker 4: and bring them to a facility where they can use 962 00:49:20,680 --> 00:49:23,560 Speaker 4: the stem cells. I work in the operating room as 963 00:49:23,600 --> 00:49:26,000 Speaker 4: a surgical tech and know there are products we use 964 00:49:26,400 --> 00:49:30,480 Speaker 4: for hemostasis that involve placenta stem cells. We use them 965 00:49:30,520 --> 00:49:33,759 Speaker 4: to help promote healing in wounds, mostly in pedietary and 966 00:49:33,800 --> 00:49:36,920 Speaker 4: trauma wounds. I have asked multiple sales reps to explain 967 00:49:36,960 --> 00:49:39,680 Speaker 4: where these placenta's stem cells come from, and no one 968 00:49:39,719 --> 00:49:42,720 Speaker 4: can give me an explanation. I'm totally planned on taking 969 00:49:42,760 --> 00:49:46,759 Speaker 4: mine home from the hospital like Nicole one day. Yeah 970 00:49:46,800 --> 00:49:49,919 Speaker 4: you should. It's a good trinket and it's your organ 971 00:49:49,960 --> 00:49:51,640 Speaker 4: and you made it, so you should keep it. 972 00:49:53,040 --> 00:49:53,400 Speaker 2: Listen. 973 00:49:53,520 --> 00:49:58,200 Speaker 3: Honestly, I kind of have similar questions, and I'm going 974 00:49:58,280 --> 00:50:01,359 Speaker 3: to say from my perspective of b both of the 975 00:50:01,440 --> 00:50:04,759 Speaker 3: major jobs that I've had working in surgical pathology and 976 00:50:04,800 --> 00:50:10,600 Speaker 3: even just rotating, I've rotated at almost every local hospital 977 00:50:10,680 --> 00:50:13,640 Speaker 3: around here, been in surgical pathology at some point or 978 00:50:13,680 --> 00:50:17,520 Speaker 3: no people that work there. I particularly, I think that 979 00:50:17,600 --> 00:50:25,200 Speaker 3: it happens prior to pathology. I've never seen cases like 980 00:50:25,280 --> 00:50:27,800 Speaker 3: we don't get all of the placentas that are delivered 981 00:50:27,840 --> 00:50:30,600 Speaker 3: in pathology. We only get ones that have a problem 982 00:50:31,320 --> 00:50:34,440 Speaker 3: because if we got all of them, it would be 983 00:50:34,480 --> 00:50:35,879 Speaker 3: a problem for us big time. 984 00:50:35,920 --> 00:50:38,320 Speaker 2: It's just too many. It would be too much work. 985 00:50:39,160 --> 00:50:40,160 Speaker 2: So we get them. 986 00:50:40,040 --> 00:50:42,240 Speaker 3: If the mom had an infection, if there was something 987 00:50:42,280 --> 00:50:44,840 Speaker 3: wrong with the fetus, if it was a multiple berth, 988 00:50:44,880 --> 00:50:47,359 Speaker 3: if there was the mom was on drugs, like there's 989 00:50:47,360 --> 00:50:49,919 Speaker 3: all this this list of reasons that we would get 990 00:50:49,960 --> 00:50:55,160 Speaker 3: a placentate, but all of the standard normal births. Most 991 00:50:55,280 --> 00:50:58,880 Speaker 3: pathology labs don't see any of them. So I have 992 00:50:58,920 --> 00:51:02,400 Speaker 3: no idea what happened with those placentas. That would be 993 00:51:02,440 --> 00:51:05,880 Speaker 3: something you want to or if one of our listeners 994 00:51:05,920 --> 00:51:09,440 Speaker 3: listens that works on an ob floor, like what happens 995 00:51:09,520 --> 00:51:10,359 Speaker 3: with them? 996 00:51:10,640 --> 00:51:11,520 Speaker 2: When we get it? 997 00:51:12,760 --> 00:51:18,040 Speaker 3: We put it in formaldehyde, so that I believe would 998 00:51:18,080 --> 00:51:23,000 Speaker 3: just like not the specimen would no longer even be 999 00:51:23,239 --> 00:51:26,960 Speaker 3: eligible for that because we're we're you know, formaldehyde is 1000 00:51:27,360 --> 00:51:30,440 Speaker 3: killing everything in it, So we do it, especially if 1001 00:51:30,640 --> 00:51:34,280 Speaker 3: a person had any kind of infection like HIV infection 1002 00:51:34,400 --> 00:51:37,799 Speaker 3: anything like that. Like we put it in formaldehyde or 1003 00:51:37,880 --> 00:51:42,480 Speaker 3: formal in, which is like a water down formaldehyde, just 1004 00:51:42,560 --> 00:51:45,799 Speaker 3: to just so it's not infectious for us because we're 1005 00:51:45,840 --> 00:51:49,719 Speaker 3: cutting it and it's a super bloody specimen. But then 1006 00:51:49,800 --> 00:51:52,360 Speaker 3: you wouldn't take cord blood from that. So I don't 1007 00:51:52,400 --> 00:51:54,680 Speaker 3: know if they take the chords before they send them 1008 00:51:54,680 --> 00:51:57,200 Speaker 3: to us or anything. But once we're done with them, 1009 00:51:57,560 --> 00:52:01,680 Speaker 3: we make microscopic slides with them. The pathologist looks at it, 1010 00:52:01,719 --> 00:52:05,520 Speaker 3: if they're satisfied, we keep it for you know, like 1011 00:52:05,600 --> 00:52:07,960 Speaker 3: a month, and then we throw it. We incinerate it 1012 00:52:07,960 --> 00:52:11,319 Speaker 3: with the medical waste. So from my perspective, I've never 1013 00:52:11,400 --> 00:52:15,480 Speaker 3: seen that happening. So I really don't I really don't know. 1014 00:52:16,120 --> 00:52:18,759 Speaker 3: But I've heard about all of these cord studies and 1015 00:52:18,800 --> 00:52:20,600 Speaker 3: this and that, and I'm just like, well, where are 1016 00:52:20,640 --> 00:52:23,000 Speaker 3: you getting it from, because it's certainly not coming from 1017 00:52:23,160 --> 00:52:25,840 Speaker 3: the pathology department in most cases. 1018 00:52:26,640 --> 00:52:31,120 Speaker 4: Interest all right, this last one's from Tara, Hi, Nicole, 1019 00:52:31,160 --> 00:52:33,160 Speaker 4: and Maria. I listened to you at work and it's 1020 00:52:33,160 --> 00:52:35,040 Speaker 4: always the highlight of my day. Thank you. 1021 00:52:35,080 --> 00:52:35,680 Speaker 2: That's very nice. 1022 00:52:36,520 --> 00:52:38,840 Speaker 4: I wanted to comment on your road clean up question. 1023 00:52:39,239 --> 00:52:41,680 Speaker 4: My parents live in California, and their neighbor had a 1024 00:52:41,719 --> 00:52:44,799 Speaker 4: psychotic episode and stabbed his mother before walking down the 1025 00:52:44,800 --> 00:52:48,000 Speaker 4: street shooting an assault rifle. He tried to shoot my dad, 1026 00:52:48,040 --> 00:52:50,719 Speaker 4: but fortunately the gun jammed. My parents live on a 1027 00:52:50,719 --> 00:52:53,239 Speaker 4: street that ends on a main boulevard. The man that 1028 00:52:53,320 --> 00:52:56,480 Speaker 4: went up on the boulevard and started shooting at cars 1029 00:52:56,760 --> 00:52:58,759 Speaker 4: at that time, the police were there and shot him 1030 00:52:58,760 --> 00:53:01,000 Speaker 4: in the middle of the street. His pool of blood 1031 00:53:01,040 --> 00:53:03,640 Speaker 4: was left in the street, along with various medical supplies 1032 00:53:03,680 --> 00:53:06,359 Speaker 4: such as gauze and god knows what else. He ended 1033 00:53:06,440 --> 00:53:10,080 Speaker 4: up dying of the gunshot. Nobody ever cleaned his blood up. 1034 00:53:10,120 --> 00:53:12,680 Speaker 4: It slowly faded from the sun and the rain. I 1035 00:53:12,719 --> 00:53:15,239 Speaker 4: guess this doesn't answer your question, but maybe they just 1036 00:53:15,360 --> 00:53:20,480 Speaker 4: leave it. Can you imagine? No, I can't. Actually, that 1037 00:53:20,680 --> 00:53:24,040 Speaker 4: to me doesn't sound typical. But I don't know if 1038 00:53:24,080 --> 00:53:27,319 Speaker 4: you're in a more suburban area. I just know that, 1039 00:53:28,280 --> 00:53:30,800 Speaker 4: like I said before, my husband's been called to clean 1040 00:53:30,880 --> 00:53:31,399 Speaker 4: blood off. 1041 00:53:31,440 --> 00:53:34,600 Speaker 3: But that's in a city, so it might be. I 1042 00:53:34,719 --> 00:53:38,080 Speaker 3: just think it's it's a blood borne pathogen. It just 1043 00:53:38,080 --> 00:53:41,120 Speaker 3: shouldn't be sitting out there for kids to run through 1044 00:53:41,200 --> 00:53:45,319 Speaker 3: with by accident with their bike or and and just 1045 00:53:45,400 --> 00:53:48,320 Speaker 3: from a litter perspective of loan, like having a pile 1046 00:53:48,360 --> 00:53:51,520 Speaker 3: of gloves and gauze and clean up. There is weird 1047 00:53:51,760 --> 00:53:56,040 Speaker 3: that anybody even left that. But it could just be 1048 00:53:56,239 --> 00:53:59,600 Speaker 3: like they called and said, hey, come clean this up 1049 00:53:59,600 --> 00:54:01,920 Speaker 3: and it all through the cracks and someone didn't do it, 1050 00:54:01,960 --> 00:54:04,760 Speaker 3: because I would think that that is something that should 1051 00:54:04,800 --> 00:54:06,080 Speaker 3: not be there. 1052 00:54:06,719 --> 00:54:09,400 Speaker 4: Cops can't just have like a little power water in 1053 00:54:09,480 --> 00:54:12,960 Speaker 4: their car to like their job. Like I know, I'm 1054 00:54:13,000 --> 00:54:16,200 Speaker 4: just saying like somebody can't clumb through because like sometimes 1055 00:54:16,239 --> 00:54:18,279 Speaker 4: I see blood on the street, but mentally, I'm just 1056 00:54:18,280 --> 00:54:20,000 Speaker 4: like it has to be from a deer. I can't 1057 00:54:20,000 --> 00:54:22,120 Speaker 4: accept that it would be anything else. But you know, 1058 00:54:22,160 --> 00:54:24,839 Speaker 4: there was just that bad accident near us last week, 1059 00:54:24,960 --> 00:54:28,040 Speaker 4: you know where that person got killed on thirty eight 1060 00:54:28,640 --> 00:54:32,040 Speaker 4: and oh yeah, imagine knowing that a person got killed 1061 00:54:32,040 --> 00:54:34,200 Speaker 4: and then driving by that spot and seeing a giant 1062 00:54:34,239 --> 00:54:37,320 Speaker 4: bloodstain every day until it raindo went away. 1063 00:54:37,600 --> 00:54:41,439 Speaker 3: I feel like it's probably the same crew they call 1064 00:54:41,520 --> 00:54:45,200 Speaker 3: when there's animals on the road because they because they 1065 00:54:45,200 --> 00:54:48,000 Speaker 3: have all the equipment to pick up the I mean 1066 00:54:48,040 --> 00:54:51,279 Speaker 3: like in that case that she's talking about, they're not 1067 00:54:51,280 --> 00:54:53,320 Speaker 3: going to leave pieces of the human there because that 1068 00:54:53,360 --> 00:54:55,759 Speaker 3: would go to the medical examiner's office. But the same thing, 1069 00:54:55,840 --> 00:55:00,879 Speaker 3: like let's say, for example, a person got hit by 1070 00:55:01,160 --> 00:55:05,959 Speaker 3: an e bike right so hard that like their leg 1071 00:55:06,040 --> 00:55:09,120 Speaker 3: flew off. The medical examiner is gonna take the dead 1072 00:55:09,120 --> 00:55:10,960 Speaker 3: body and they're gonna go and pick up the leg 1073 00:55:11,000 --> 00:55:13,040 Speaker 3: and put the leg in a body bag too, and 1074 00:55:13,080 --> 00:55:15,719 Speaker 3: bring it all together to keep the body there. But 1075 00:55:15,800 --> 00:55:18,600 Speaker 3: it's not the medical examiner's job to clean up the 1076 00:55:18,640 --> 00:55:22,600 Speaker 3: blood off the sidewalk, so somebody like and. 1077 00:55:22,560 --> 00:55:24,360 Speaker 4: Those aren't always perfect because you know, we have stories 1078 00:55:24,360 --> 00:55:26,520 Speaker 4: where people get by trains and like a child will 1079 00:55:26,560 --> 00:55:28,920 Speaker 4: come across their like nose in a field or something 1080 00:55:28,960 --> 00:55:29,360 Speaker 4: next to me. 1081 00:55:29,520 --> 00:55:32,560 Speaker 3: Yeah, but that's but that's just because they didn't find it. 1082 00:55:32,600 --> 00:55:34,680 Speaker 3: Like I said, like people go and clean it up. 1083 00:55:35,239 --> 00:55:37,239 Speaker 3: But I mean, when you're getting hit by a train 1084 00:55:37,320 --> 00:55:40,759 Speaker 3: that's going super fast that you're in the force of 1085 00:55:40,800 --> 00:55:42,960 Speaker 3: it blows your body up, like a piece can fly 1086 00:55:44,120 --> 00:55:46,680 Speaker 3: one hundred feet away, you know, like and they just 1087 00:55:46,760 --> 00:55:48,799 Speaker 3: might not find it in the media area, which is 1088 00:55:48,840 --> 00:55:49,920 Speaker 3: what happened in that case. 1089 00:55:50,560 --> 00:55:53,439 Speaker 4: Well, sorry that happened to you, thankfully the gun jam. 1090 00:55:53,560 --> 00:55:56,880 Speaker 4: I know that's scary for your dad, jeez, I know 1091 00:55:57,000 --> 00:56:00,520 Speaker 4: it's horrible. Well, guys, if you have wild stories for 1092 00:56:00,640 --> 00:56:03,279 Speaker 4: us or any questions, please email them to stories at 1093 00:56:03,320 --> 00:56:06,719 Speaker 4: Mothernosdeath dot com and don't forget to head over to Appler, Spotify, 1094 00:56:06,800 --> 00:56:09,360 Speaker 4: leave us a review, and subscribe to our YouTube channel. 1095 00:56:09,560 --> 00:56:10,319 Speaker 2: Say you guys, have. 1096 00:56:10,280 --> 00:56:16,960 Speaker 3: A good weekend. Thank you for listening to Mother Nos Death. 1097 00:56:17,640 --> 00:56:21,360 Speaker 3: As a reminder, my training is as a pathologist's assistant. 1098 00:56:22,160 --> 00:56:25,600 Speaker 3: I have a master's level education and specialize in anatomy 1099 00:56:25,640 --> 00:56:29,200 Speaker 3: and pathology education. I am not a doctor and I 1100 00:56:29,280 --> 00:56:33,120 Speaker 3: have not diagnosed or treated anyone dead or alive without 1101 00:56:33,120 --> 00:56:38,520 Speaker 3: the assistance of a licensed medical doctor. This show, my website, 1102 00:56:38,600 --> 00:56:41,960 Speaker 3: and social media accounts are designed to educate and inform 1103 00:56:42,040 --> 00:56:46,279 Speaker 3: people based on my experience working in pathology, so they 1104 00:56:46,320 --> 00:56:49,720 Speaker 3: can make healthier decisions regarding their life and well being. 1105 00:56:50,840 --> 00:56:53,680 Speaker 3: Always remember that science is changing every day and the 1106 00:56:53,760 --> 00:56:57,040 Speaker 3: opinions expressed in this episode are based on my knowledge 1107 00:56:57,080 --> 00:57:00,719 Speaker 3: of those subjects at the time of publication. If you 1108 00:57:00,760 --> 00:57:04,640 Speaker 3: are having a medical problem, have a medical question, or 1109 00:57:04,840 --> 00:57:09,080 Speaker 3: having a medical emergency, please contact your physician or visit 1110 00:57:09,120 --> 00:57:14,440 Speaker 3: an urgent care center, emergency room or hospital. Please rate, review, 1111 00:57:14,560 --> 00:57:18,960 Speaker 3: and subscribe to Mother Knows Death on Apple, Spotify, YouTube, 1112 00:57:19,200 --> 00:57:20,760 Speaker 3: or anywhere you get podcasts. 1113 00:57:21,280 --> 00:57:27,080 Speaker 2: Thanks