1 00:00:08,039 --> 00:00:21,440 Speaker 1: Mother Knows Death starring Nicole and Jemmy and Maria qk Hi. Everyone, 2 00:00:21,560 --> 00:00:24,000 Speaker 1: welcome The Mother Knows Death. Today we are going to 3 00:00:24,040 --> 00:00:28,960 Speaker 1: be talking about a nurse influencer who tragically died during childbirth. 4 00:00:29,440 --> 00:00:33,680 Speaker 1: Russell Brand's rape charges at least five nurses working at 5 00:00:33,680 --> 00:00:37,640 Speaker 1: the same unit that all have brain tumors, discounts for 6 00:00:37,720 --> 00:00:41,120 Speaker 1: skinny people, a man who performs surgery on hisself, and 7 00:00:41,200 --> 00:00:44,559 Speaker 1: of course sex in a cemetery. All that more on 8 00:00:44,600 --> 00:00:49,000 Speaker 1: today's episode, Let's get started with Nurse Halle's tragic death. Okay, 9 00:00:49,040 --> 00:00:52,400 Speaker 1: So Haley Accola, she was a popular nurse influencer. Her 10 00:00:52,440 --> 00:00:55,920 Speaker 1: handle was at rn New Grads, so she was pregnant 11 00:00:55,960 --> 00:00:58,280 Speaker 1: with her first child. She had told her audience about 12 00:00:58,320 --> 00:01:02,080 Speaker 1: her fertility struggles, so of course everybody was really happy 13 00:01:02,240 --> 00:01:04,399 Speaker 1: for her when she announced that she's pregnant with her 14 00:01:04,400 --> 00:01:08,000 Speaker 1: and her husband's first child. So last week she was 15 00:01:08,080 --> 00:01:10,200 Speaker 1: due or she started going into birth. 16 00:01:10,280 --> 00:01:13,720 Speaker 2: She went in the hospital and then her audience was 17 00:01:13,760 --> 00:01:16,119 Speaker 2: shocked when her husband posted a couple of days later 18 00:01:16,200 --> 00:01:18,240 Speaker 2: that she had died during the childbirth. 19 00:01:19,080 --> 00:01:22,440 Speaker 1: Yeah, I mean, we personally have dealt with this experience 20 00:01:22,480 --> 00:01:25,720 Speaker 1: that one of our great family friends died after giving 21 00:01:25,760 --> 00:01:30,039 Speaker 1: birth to her son. This was back eleven twelve years 22 00:01:30,080 --> 00:01:34,920 Speaker 1: ago now at this point. But yeah, I mean it's 23 00:01:35,040 --> 00:01:38,400 Speaker 1: really especially since that happened to us, I know exactly 24 00:01:38,440 --> 00:01:42,360 Speaker 1: what everybody in her life is going through. And I 25 00:01:42,400 --> 00:01:46,560 Speaker 1: guess it's just even more shocking because she was an 26 00:01:46,640 --> 00:01:50,840 Speaker 1: Instagram influencer. She had almost half a million followers, you know, 27 00:01:51,000 --> 00:01:54,480 Speaker 1: so a lot of people were following her story for years, 28 00:01:54,560 --> 00:01:57,760 Speaker 1: and it's just upsetting to anyone that hears that because 29 00:01:58,200 --> 00:02:00,760 Speaker 1: nobody wants to hear a first. People are just like, 30 00:02:00,800 --> 00:02:03,920 Speaker 1: it's twenty twenty five, How does that even happen? But 31 00:02:04,160 --> 00:02:08,000 Speaker 1: it happens, unfortunately, about a thousand times a year in 32 00:02:08,040 --> 00:02:11,919 Speaker 1: the United States and even more in other countries. It 33 00:02:12,120 --> 00:02:17,359 Speaker 1: just sometimes this particular condition that his wife was diagnosed with, 34 00:02:18,840 --> 00:02:22,160 Speaker 1: it's just like you can't know that it's happening, and 35 00:02:22,200 --> 00:02:25,400 Speaker 1: sometimes you can't stop it from happening. Well, what happened 36 00:02:25,440 --> 00:02:29,840 Speaker 1: exactly in her case, So she had something called an 37 00:02:29,840 --> 00:02:34,200 Speaker 1: amnionic fluid embolism. So we've talked about embolisms all the 38 00:02:34,240 --> 00:02:37,720 Speaker 1: time on this program. Usually we talk about a pulmonary embolism. 39 00:02:37,800 --> 00:02:42,639 Speaker 1: Sometimes if we're talking about like lip boseuction. Sometimes these 40 00:02:42,680 --> 00:02:45,040 Speaker 1: plastic surgery deaths we talk about, it would be a 41 00:02:45,080 --> 00:02:48,720 Speaker 1: fat embolism, and that just means that something is starting 42 00:02:48,800 --> 00:02:51,640 Speaker 1: at one point in the body and it's moving through 43 00:02:51,800 --> 00:02:55,520 Speaker 1: the vascular system and can go to another part of 44 00:02:55,560 --> 00:02:58,800 Speaker 1: the body. So in this case, it is the fetal 45 00:02:58,919 --> 00:03:02,840 Speaker 1: cells that are in the amniotic fluid are somehow getting 46 00:03:02,960 --> 00:03:07,320 Speaker 1: into the maternal blood supply and traveling to the lungs, 47 00:03:07,360 --> 00:03:10,960 Speaker 1: and this is what is causing these women to just 48 00:03:11,080 --> 00:03:15,799 Speaker 1: suddenly get these symptoms and their heart stops and then 49 00:03:16,160 --> 00:03:19,080 Speaker 1: they start So the weird thing is about this is 50 00:03:19,120 --> 00:03:23,160 Speaker 1: that embolisms, when there's death from embolisms, either from fat 51 00:03:23,280 --> 00:03:26,640 Speaker 1: or from blood, they usually have this certain way of 52 00:03:26,760 --> 00:03:32,200 Speaker 1: presenting itself, and with amnionic fluid embolisms it's a little 53 00:03:32,240 --> 00:03:36,440 Speaker 1: bit different, and that's why sometimes it's referred to as 54 00:03:36,560 --> 00:03:39,880 Speaker 1: being closer to like an anaphylactic reaction that you would 55 00:03:39,880 --> 00:03:42,720 Speaker 1: think when you you know, a person with peanut allergies 56 00:03:42,760 --> 00:03:46,480 Speaker 1: has peanuts or something like that. So what happens is 57 00:03:46,640 --> 00:03:50,400 Speaker 1: it's the blood vessels start tightening up really tight, and 58 00:03:50,560 --> 00:03:53,680 Speaker 1: the bronchials start tightening up there the airway and the 59 00:03:53,720 --> 00:03:57,400 Speaker 1: lungs start tightening up. And not only are they just 60 00:03:57,480 --> 00:04:02,080 Speaker 1: getting irritated because these cells are within the blood vessels 61 00:04:02,920 --> 00:04:07,600 Speaker 1: and are traveling into the lungs, but it's releasing these 62 00:04:07,680 --> 00:04:12,280 Speaker 1: inflammatory cytokinds that are reacting to this foreign material being 63 00:04:12,320 --> 00:04:16,719 Speaker 1: present inside of the mom and that is leading to 64 00:04:17,520 --> 00:04:21,360 Speaker 1: it activates coagulation, which is blood clotting, and it leads 65 00:04:21,400 --> 00:04:27,320 Speaker 1: to a condition called DIC. DIC stands for disseminated intravascular coagulation. 66 00:04:27,400 --> 00:04:30,680 Speaker 1: It just sounds it just sounds crazy, and it's this 67 00:04:30,839 --> 00:04:34,800 Speaker 1: really bizarre condition where the blood clots too much and 68 00:04:34,839 --> 00:04:38,080 Speaker 1: then people end up bleeding to death, which it's kind 69 00:04:38,120 --> 00:04:41,839 Speaker 1: of counteractive. It doesn't make sense, but let me explain 70 00:04:41,880 --> 00:04:43,560 Speaker 1: it to you really quick, because it makes sense. So 71 00:04:43,640 --> 00:04:47,440 Speaker 1: what happens is all of the blood starts clotting and 72 00:04:47,640 --> 00:04:50,400 Speaker 1: it could block off all of the oxygen to the organs. 73 00:04:50,400 --> 00:04:53,120 Speaker 1: So that's the first problem really that you're having problems 74 00:04:53,120 --> 00:04:56,280 Speaker 1: with all these blood clots. But then the rest of 75 00:04:56,320 --> 00:04:59,480 Speaker 1: the blood no longer has an access to any of 76 00:04:59,520 --> 00:05:04,640 Speaker 1: those clots factors such as platelets, because they're all being 77 00:05:04,720 --> 00:05:07,040 Speaker 1: used by the clots that are being made, so that 78 00:05:07,120 --> 00:05:10,120 Speaker 1: blood just can't clot at all, and then the person 79 00:05:10,200 --> 00:05:15,159 Speaker 1: ends up just spontaneously bleeding, and it's it's this really 80 00:05:15,279 --> 00:05:19,640 Speaker 1: fast thing that could happen to women during childbirth. From 81 00:05:19,680 --> 00:05:22,720 Speaker 1: the time it starts, they could be dead within an hour. 82 00:05:22,880 --> 00:05:28,239 Speaker 1: It's just it's really quick and unfortunately it's so rare 83 00:05:28,800 --> 00:05:32,480 Speaker 1: that many physicians don't see it in their lifetime and 84 00:05:32,880 --> 00:05:35,400 Speaker 1: it's something that you have to really be on top of, 85 00:05:35,520 --> 00:05:38,520 Speaker 1: you have to recognize, jump on top of, and even 86 00:05:38,560 --> 00:05:40,440 Speaker 1: in that case, you still might not be able to 87 00:05:40,440 --> 00:05:43,800 Speaker 1: save the person. But there are people that do survive it. 88 00:05:45,120 --> 00:05:48,040 Speaker 2: Yeah, because I guess my question is just like, there's 89 00:05:48,120 --> 00:05:50,440 Speaker 2: nothing you could do to prevent this, right, It just 90 00:05:50,800 --> 00:05:51,400 Speaker 2: there's nothing. 91 00:05:51,600 --> 00:05:56,280 Speaker 1: I mean, there's definitely risk factors associated with it, and 92 00:05:56,520 --> 00:05:59,320 Speaker 1: there's a lot of risk factors associated with it, and 93 00:05:59,360 --> 00:06:01,600 Speaker 1: if I really listed all of them, I think every 94 00:06:01,640 --> 00:06:04,039 Speaker 1: single person that's ever had a baby could say they 95 00:06:04,080 --> 00:06:08,880 Speaker 1: have one of them. Yeah, so it's it sometimes happens 96 00:06:08,920 --> 00:06:13,960 Speaker 1: in people who have multiple pregnancies. So if you have twins, right, Okay, 97 00:06:14,080 --> 00:06:17,720 Speaker 1: well that's a lot of people advanced maternal age that 98 00:06:17,800 --> 00:06:20,400 Speaker 1: means over thirty five years old, that's a lot of people. 99 00:06:22,120 --> 00:06:24,919 Speaker 1: It there's all these different risk factors. One of the 100 00:06:24,960 --> 00:06:28,480 Speaker 1: biggest ones is when a person has a condition called 101 00:06:29,320 --> 00:06:33,479 Speaker 1: placenta acrida, which is so normally when you have the baby, 102 00:06:33,560 --> 00:06:35,760 Speaker 1: you have this placenta grows inside your uterus and then 103 00:06:35,800 --> 00:06:39,960 Speaker 1: there's this tissue, this layer in between the placenta and 104 00:06:40,040 --> 00:06:42,320 Speaker 1: the inside of the uterus. So when you give birth, 105 00:06:42,360 --> 00:06:46,039 Speaker 1: the placenta is supposed to just kind of fall out 106 00:06:46,040 --> 00:06:49,200 Speaker 1: and slide out really nicely, but sometimes that doesn't happen, 107 00:06:49,240 --> 00:06:52,239 Speaker 1: and sometimes the placenta could grow into the uterus almost 108 00:06:52,279 --> 00:06:55,560 Speaker 1: like a tumor, and but it's it's not a tumor. 109 00:06:55,600 --> 00:06:58,920 Speaker 1: It's just it's not a tumor, but it's it's you know, 110 00:06:58,960 --> 00:07:00,840 Speaker 1: it's it just has that kind of thing that it's 111 00:07:00,880 --> 00:07:04,720 Speaker 1: growing into it like that. And those people are at 112 00:07:04,760 --> 00:07:07,640 Speaker 1: the highest risk for this, They have like a tenfold 113 00:07:07,720 --> 00:07:12,480 Speaker 1: increased risk with it. But again, lots of women have 114 00:07:12,560 --> 00:07:17,200 Speaker 1: this condition and never develop an amniotic fluid embolism, So 115 00:07:18,520 --> 00:07:21,440 Speaker 1: it's hard to say, but she did have this history 116 00:07:21,600 --> 00:07:25,160 Speaker 1: of IVF. It does happen in eight percent of patients 117 00:07:25,200 --> 00:07:28,480 Speaker 1: that have had eight percent of the cases or patients 118 00:07:28,520 --> 00:07:32,160 Speaker 1: that have had IVF I still wouldn't even really consider 119 00:07:32,240 --> 00:07:34,680 Speaker 1: that to be though, like a risk factor, because how 120 00:07:34,680 --> 00:07:38,360 Speaker 1: many people get IVF and have no problems. So this 121 00:07:38,520 --> 00:07:40,840 Speaker 1: is just one of those things that it's so scary. 122 00:07:41,360 --> 00:07:44,840 Speaker 1: A thousand people a year died during childbirth, and this 123 00:07:44,880 --> 00:07:48,800 Speaker 1: is actually not even the number one cause of death 124 00:07:48,840 --> 00:07:52,880 Speaker 1: in these patients. But it's something that you kind of 125 00:07:52,920 --> 00:07:55,880 Speaker 1: walk in there knowing maybe like speak to your doctor 126 00:07:55,920 --> 00:07:59,000 Speaker 1: and just say, hey, are you aware of what symptoms present? 127 00:07:59,080 --> 00:08:02,760 Speaker 1: Because it you're seemingly like pretty fine and then all 128 00:08:02,760 --> 00:08:05,400 Speaker 1: of a sudden, it just goes downhill really fast. Your 129 00:08:05,400 --> 00:08:09,280 Speaker 1: heart stops, and there's there's some kind of confusion that 130 00:08:09,320 --> 00:08:14,160 Speaker 1: could be presenting, like a disoriented There's different things that 131 00:08:14,200 --> 00:08:16,360 Speaker 1: the doctor could be like, wait a second, like what's 132 00:08:16,360 --> 00:08:19,960 Speaker 1: happening here. Also the scary thing though, is that there's 133 00:08:20,280 --> 00:08:22,400 Speaker 1: this is not like this is one in a list 134 00:08:22,440 --> 00:08:24,760 Speaker 1: of all the fifty other things that could happen to 135 00:08:24,800 --> 00:08:27,480 Speaker 1: you while you're having a baby. So it sometimes the 136 00:08:27,520 --> 00:08:30,440 Speaker 1: symptoms kind of cross over each other with other conditions 137 00:08:30,480 --> 00:08:36,079 Speaker 1: and listen, like people think just because so many people 138 00:08:36,120 --> 00:08:38,800 Speaker 1: get pregnant and have babies that it's just this thing. 139 00:08:38,920 --> 00:08:41,440 Speaker 1: It's it's not a benign condition. It puts a lot 140 00:08:41,480 --> 00:08:45,680 Speaker 1: on your body. It makes you immuno suppressed, you have 141 00:08:45,840 --> 00:08:48,720 Speaker 1: more blood in your body than normal. It's harder on 142 00:08:48,760 --> 00:08:51,480 Speaker 1: your heart because of that. Like there's there's just all 143 00:08:51,520 --> 00:08:54,360 Speaker 1: these different things, and people get very surprised when things 144 00:08:54,400 --> 00:08:59,400 Speaker 1: like this happen. But like out a thousand people a year, 145 00:08:59,520 --> 00:09:03,280 Speaker 1: out of the millions of people women especially that are 146 00:09:04,080 --> 00:09:07,200 Speaker 1: childbearing age in this country, it's just like it's it's 147 00:09:07,280 --> 00:09:09,600 Speaker 1: not that much and it's nothing to freak out about 148 00:09:09,679 --> 00:09:11,079 Speaker 1: or not get pregnant because of. 149 00:09:11,880 --> 00:09:14,360 Speaker 2: Yeah, and on the subject of IVF, it had me 150 00:09:14,480 --> 00:09:17,880 Speaker 2: wondering if they have multiple embryos that are in storage 151 00:09:17,960 --> 00:09:21,599 Speaker 2: right now, do you think he would consider using a 152 00:09:21,760 --> 00:09:25,320 Speaker 2: sarrogate to have more babies since they're already created, and 153 00:09:25,360 --> 00:09:29,080 Speaker 2: then all his kids could be full blooded siblings. Is 154 00:09:29,120 --> 00:09:31,880 Speaker 2: that I know if we've talked about that before on here? 155 00:09:32,200 --> 00:09:36,839 Speaker 2: Are is that something that is legal. 156 00:09:36,559 --> 00:09:40,959 Speaker 1: To do here? I mean, it seems because I remember 157 00:09:41,000 --> 00:09:42,880 Speaker 1: we were talking about it, but I thought it was 158 00:09:42,920 --> 00:09:46,000 Speaker 1: in another country. Honestly, Well, the case we talked about 159 00:09:46,040 --> 00:09:49,160 Speaker 1: before was I believe a woman's husband had died in 160 00:09:49,200 --> 00:09:51,880 Speaker 1: a car accident and she wanted to have his sperm 161 00:09:52,040 --> 00:09:55,600 Speaker 1: extracted after his death. That's like a totally different thing. Yeah, 162 00:09:55,600 --> 00:10:01,559 Speaker 1: I'm he he honestly probably can use them legally because 163 00:10:01,600 --> 00:10:04,600 Speaker 1: they're they're his. I'm just I'm not one hundred percent 164 00:10:04,640 --> 00:10:07,760 Speaker 1: sure of the law regarding that. Oh, it's great if 165 00:10:07,760 --> 00:10:09,280 Speaker 1: anybody knew that. Yeah. 166 00:10:09,360 --> 00:10:11,560 Speaker 2: I did a little bit of research on it. So 167 00:10:11,600 --> 00:10:14,800 Speaker 2: it seems like it depends where you live and which 168 00:10:15,160 --> 00:10:18,160 Speaker 2: what your state's laws are in this country in particular, 169 00:10:18,880 --> 00:10:21,439 Speaker 2: and it seems like in most cases it would require 170 00:10:21,559 --> 00:10:26,520 Speaker 2: some written consent. Based on my research, it appears that 171 00:10:26,720 --> 00:10:29,559 Speaker 2: fertility clinics will kind of like cover this in your 172 00:10:29,600 --> 00:10:32,680 Speaker 2: paperwork of what's to happen with the embryos overtime. And 173 00:10:32,760 --> 00:10:36,280 Speaker 2: I assume when you do it that both people and 174 00:10:36,320 --> 00:10:38,880 Speaker 2: the couple will need the consent if they're going to 175 00:10:38,960 --> 00:10:41,040 Speaker 2: be destroyed after a certain amount of time or if 176 00:10:41,080 --> 00:10:42,960 Speaker 2: you get divorced. I know I had talked about this 177 00:10:43,000 --> 00:10:46,160 Speaker 2: before with Sophia Virgara had been in a lawsuit about 178 00:10:46,200 --> 00:10:48,840 Speaker 2: her ex husband trying to use embryos they had created, 179 00:10:48,840 --> 00:10:51,520 Speaker 2: but she did not consent to it. So I guess 180 00:10:51,600 --> 00:10:54,000 Speaker 2: a large part of it is written consent, And there 181 00:10:54,040 --> 00:10:56,040 Speaker 2: was a really big case in the UK with this. 182 00:10:56,160 --> 00:11:00,160 Speaker 2: Actually it's called the Jennings versus Human Fertilization and Embryo 183 00:11:00,360 --> 00:11:03,480 Speaker 2: Authority case. So that is where a court ruled that 184 00:11:03,559 --> 00:11:06,760 Speaker 2: a widower could use an embryo created with his late wife, 185 00:11:06,760 --> 00:11:09,360 Speaker 2: even though she hadn't provided the written consent. 186 00:11:09,800 --> 00:11:12,839 Speaker 1: Oh yeah, well, I mean, yeah, I am interested. I mean, 187 00:11:12,840 --> 00:11:14,640 Speaker 1: how how do you even know this? 188 00:11:15,320 --> 00:11:17,720 Speaker 2: Well, I looked into all of this because no, I don't. 189 00:11:17,559 --> 00:11:19,520 Speaker 1: Mean I don't mean this, Like, how do you how 190 00:11:19,600 --> 00:11:22,040 Speaker 1: do you even know that there's more embryos? 191 00:11:22,600 --> 00:11:25,280 Speaker 2: Well, I think when you when you're going through IVF, 192 00:11:25,400 --> 00:11:28,920 Speaker 2: they after they do the egg retrieval, you are privy 193 00:11:28,960 --> 00:11:31,080 Speaker 2: to how many they have created, and then you could 194 00:11:31,480 --> 00:11:34,400 Speaker 2: they do fresh transfers or the remaining ones will get 195 00:11:34,440 --> 00:11:36,120 Speaker 2: frozen that you could get in planet. 196 00:11:36,200 --> 00:11:38,520 Speaker 1: But I'm saying you're not. I'm saying, like, how do 197 00:11:38,640 --> 00:11:42,240 Speaker 1: you know that this couple has extras? Oh? I don't 198 00:11:42,280 --> 00:11:44,520 Speaker 1: know this, I'm saying. I was just like assuming if 199 00:11:44,559 --> 00:11:47,240 Speaker 1: there were extra, okay, tars like that would just be 200 00:11:47,640 --> 00:11:50,440 Speaker 1: it just would be a really weird thing to talk 201 00:11:50,480 --> 00:11:53,960 Speaker 1: about in an interview. It just like that they're not. 202 00:11:54,080 --> 00:11:57,199 Speaker 1: I'm sure that's the last thing from his mind right now. No, 203 00:11:57,280 --> 00:11:59,319 Speaker 1: it's none of my business. It's just something I. 204 00:11:59,360 --> 00:12:02,600 Speaker 2: Was curious because I know in these cases a lot 205 00:12:02,640 --> 00:12:05,679 Speaker 2: of times you end up with multiple embryos, and of 206 00:12:05,679 --> 00:12:09,160 Speaker 2: course that's because sometimes they don't take and then there's 207 00:12:09,240 --> 00:12:12,560 Speaker 2: extras to use for multiple rounds of IVF. But I'm 208 00:12:12,600 --> 00:12:15,200 Speaker 2: just wondering, in the case of if somebody did have 209 00:12:15,280 --> 00:12:18,880 Speaker 2: extras and their significant other died, what the legality is 210 00:12:19,280 --> 00:12:22,280 Speaker 2: or the desire is to go forward and use those. 211 00:12:23,400 --> 00:12:26,920 Speaker 1: Yeah, well that's that's that's actually a really interesting case 212 00:12:26,960 --> 00:12:32,079 Speaker 1: because remember that the hockey player what's his name, good, 213 00:12:32,120 --> 00:12:36,320 Speaker 1: Johnny Gudrou. Yeah, like his wife just had the baby today, 214 00:12:36,480 --> 00:12:39,040 Speaker 1: yesterday or something or within the past couple of days. 215 00:12:39,080 --> 00:12:42,080 Speaker 1: It's just really it's just like so sad to think 216 00:12:42,120 --> 00:12:46,040 Speaker 1: about having a pregnancy and giving birth to a baby 217 00:12:46,080 --> 00:12:49,640 Speaker 1: that you know, the the parent that you made the 218 00:12:49,640 --> 00:12:52,880 Speaker 1: baby with is no longer alive. It's but people, people 219 00:12:53,000 --> 00:12:56,800 Speaker 1: do it. So yeah, and this this case just bummed 220 00:12:56,800 --> 00:12:59,720 Speaker 1: me out so much. I mean, she's like a fellow firewife. 221 00:12:59,760 --> 00:13:04,559 Speaker 1: Her husband's a firefighter, just like my husband, and she's 222 00:13:04,960 --> 00:13:07,280 Speaker 1: she does kind of what I do, Like she educates 223 00:13:07,400 --> 00:13:12,680 Speaker 1: medical professionals. She started a whole entire program educating nurses, 224 00:13:12,920 --> 00:13:17,080 Speaker 1: and so it's scary because, like she I one hundred 225 00:13:17,080 --> 00:13:20,640 Speaker 1: percent guarantee you that she knew about this condition because 226 00:13:20,679 --> 00:13:24,000 Speaker 1: we all learn about it in school and and it's 227 00:13:24,040 --> 00:13:26,800 Speaker 1: always every single person that knows about this condition. It's 228 00:13:26,800 --> 00:13:29,400 Speaker 1: always on your mind when you go into childbirth. You 229 00:13:29,400 --> 00:13:32,400 Speaker 1: know all of the possible thousands of things that could 230 00:13:32,440 --> 00:13:36,120 Speaker 1: go wrong, and you just have to think, like like 231 00:13:36,280 --> 00:13:38,600 Speaker 1: if she was still alive, like what would she think 232 00:13:38,640 --> 00:13:40,560 Speaker 1: of this? You know, It's just it's just like a 233 00:13:40,640 --> 00:13:43,960 Speaker 1: really just as you would say if something like that 234 00:13:44,080 --> 00:13:46,320 Speaker 1: happened to me, Like because I talk about it all 235 00:13:46,360 --> 00:13:48,640 Speaker 1: the time. It's kind of just like a really crazy thing. 236 00:13:48,720 --> 00:13:52,920 Speaker 1: And I feel terrible for her family, Like I said, 237 00:13:52,960 --> 00:13:55,280 Speaker 1: this happened to one of my best friends, and her 238 00:13:55,360 --> 00:13:57,720 Speaker 1: husband had to leave the hospital with a baby too, 239 00:13:57,760 --> 00:14:00,719 Speaker 1: without his wife, And it just is freaking terrible. No, 240 00:14:00,800 --> 00:14:03,079 Speaker 1: it's it's unimaginable, you know. You. 241 00:14:03,920 --> 00:14:07,160 Speaker 2: I just think of like what horrific luck that you 242 00:14:07,320 --> 00:14:10,000 Speaker 2: already have to go through the struggle of infertility and 243 00:14:10,000 --> 00:14:13,320 Speaker 2: how emotionally draining that is, and then you finally have 244 00:14:13,440 --> 00:14:15,520 Speaker 2: this like miracle baby and then it just ends up 245 00:14:15,559 --> 00:14:16,720 Speaker 2: in tragedy anyway. 246 00:14:17,240 --> 00:14:20,000 Speaker 1: Yeah, I mean they'll be fine. They will be fine, 247 00:14:20,360 --> 00:14:24,200 Speaker 1: just it's it's just like, right now, this, this, the 248 00:14:24,280 --> 00:14:26,000 Speaker 1: next couple of months are just going to feel like 249 00:14:26,040 --> 00:14:28,280 Speaker 1: the absolute end of the world. But like life goes 250 00:14:28,320 --> 00:14:31,040 Speaker 1: on and they'll be fine. So what do you think 251 00:14:31,080 --> 00:14:33,560 Speaker 1: about this Russell Brand story. 252 00:14:34,480 --> 00:14:36,560 Speaker 2: I mean, I wasn't really shocked when the news broke 253 00:14:36,640 --> 00:14:39,080 Speaker 2: that he had been charged, because I know two years 254 00:14:39,080 --> 00:14:41,600 Speaker 2: ago some news had been floating around that he was 255 00:14:41,640 --> 00:14:46,800 Speaker 2: being investigated for sexual assault. So I guess I kind 256 00:14:46,800 --> 00:14:48,960 Speaker 2: of forgot about it because it's been a little bit 257 00:14:49,000 --> 00:14:52,920 Speaker 2: of time. But I don't think this was particularly shocking 258 00:14:52,960 --> 00:14:54,960 Speaker 2: for me as somebody that follows pop culture. 259 00:14:55,040 --> 00:14:56,240 Speaker 1: But what are your thoughts on it? 260 00:14:56,480 --> 00:14:56,680 Speaker 2: Well? 261 00:14:56,760 --> 00:14:59,080 Speaker 1: I don't I don't really know much about the dude, 262 00:14:59,120 --> 00:15:01,520 Speaker 1: Like he used to be married to Katy Perry or something. 263 00:15:02,240 --> 00:15:04,880 Speaker 1: He we just don't really I don't like follow what 264 00:15:04,920 --> 00:15:05,880 Speaker 1: he's doing. I don't know. 265 00:15:06,320 --> 00:15:08,680 Speaker 2: I mean, I believe he started off as a stand 266 00:15:08,760 --> 00:15:11,360 Speaker 2: up and then he just became this TV personality. I 267 00:15:11,440 --> 00:15:14,200 Speaker 2: know him because he's in my favorite movie ever, Forgetting 268 00:15:14,240 --> 00:15:15,040 Speaker 2: Sarah Marshall. 269 00:15:15,480 --> 00:15:17,440 Speaker 1: He's just this comedian. Ever I saw that. I never 270 00:15:17,480 --> 00:15:18,680 Speaker 1: saw that. Oh my god. 271 00:15:19,040 --> 00:15:21,400 Speaker 2: I don't know if you would find it particularly funny, 272 00:15:21,440 --> 00:15:24,160 Speaker 2: But I've gone over this many times. I think it's 273 00:15:24,200 --> 00:15:26,920 Speaker 2: a cavorite movie. So he's like an actor, or he's 274 00:15:26,960 --> 00:15:29,720 Speaker 2: an actor. Okay, he's like an actor in this like 275 00:15:29,760 --> 00:15:34,920 Speaker 2: British personality. He's this overly eccentric, very sexual man, always 276 00:15:35,000 --> 00:15:39,080 Speaker 2: like hip thrusting and whatever. So, yeah, he was married 277 00:15:39,120 --> 00:15:41,680 Speaker 2: to Katy Perry. I think he's now married to an author. 278 00:15:41,920 --> 00:15:43,480 Speaker 2: He's been married to her for a couple of years. 279 00:15:43,480 --> 00:15:45,080 Speaker 2: He was only with Katy Perry for I think like 280 00:15:45,120 --> 00:15:47,840 Speaker 2: two years. In celebrity world, that's five minutes. 281 00:15:48,120 --> 00:15:51,520 Speaker 1: So he has the history of these accusations. 282 00:15:52,240 --> 00:15:54,880 Speaker 2: Well, I don't know about a long term history of 283 00:15:54,880 --> 00:15:57,760 Speaker 2: the accusations, but I know the accusations first started surfacing 284 00:15:57,840 --> 00:16:02,000 Speaker 2: a couple of years ago, which seemingly prompted this investigation 285 00:16:02,120 --> 00:16:03,920 Speaker 2: that has now resulted in charges. 286 00:16:05,040 --> 00:16:09,680 Speaker 1: So what so now this investigation like this, the only 287 00:16:09,760 --> 00:16:12,760 Speaker 1: thing that I've questioned about is the year that these 288 00:16:12,840 --> 00:16:16,840 Speaker 1: particular incidents took place. All right, So the alleged incidents 289 00:16:16,840 --> 00:16:19,280 Speaker 1: happened from nineteen ninety nine to two thousand and five, 290 00:16:19,360 --> 00:16:22,480 Speaker 1: involving four women, but he has been charged with five 291 00:16:22,560 --> 00:16:25,280 Speaker 1: counts of rape and assault. So they're saying it's one 292 00:16:25,480 --> 00:16:28,720 Speaker 1: count of rape, one count of indecent assault, one count 293 00:16:28,760 --> 00:16:31,400 Speaker 1: of oral rape, and two counts of sexual assault. 294 00:16:31,680 --> 00:16:34,960 Speaker 2: And these are just I believe incidents that happen in 295 00:16:34,960 --> 00:16:35,480 Speaker 2: the UK. 296 00:16:36,760 --> 00:16:39,240 Speaker 1: How did they find these women? 297 00:16:39,360 --> 00:16:43,200 Speaker 2: They came forward, So it looks like these women came 298 00:16:43,320 --> 00:16:46,960 Speaker 2: forward in the last couple of years to a media outlet, 299 00:16:47,000 --> 00:16:50,680 Speaker 2: which of course is providing a lot of scrutiny as like, 300 00:16:51,120 --> 00:16:54,240 Speaker 2: you know, if these incidents happened nearly two decades ago, 301 00:16:54,360 --> 00:16:57,320 Speaker 2: why are you just coming out now, and why are 302 00:16:57,320 --> 00:16:59,880 Speaker 2: you going right to the news. And I am going 303 00:16:59,880 --> 00:17:02,480 Speaker 2: to to defend them because I just think in these 304 00:17:02,520 --> 00:17:05,200 Speaker 2: cases a lot of times, I'm gonna use Megan Kelly 305 00:17:05,280 --> 00:17:08,720 Speaker 2: as an example because I've recently read her book and 306 00:17:09,119 --> 00:17:12,240 Speaker 2: we all know my favorite type of drama is newsroom drama. 307 00:17:12,320 --> 00:17:14,879 Speaker 2: So when everything that broke with Roger Ale's happened, it 308 00:17:14,920 --> 00:17:18,560 Speaker 2: was all over it. But for example, with Megan Kelly, 309 00:17:18,640 --> 00:17:22,880 Speaker 2: so she had experienced inappropriate actions with Roger Ales while 310 00:17:22,880 --> 00:17:26,720 Speaker 2: she was working at Fox and at the time it happened, 311 00:17:26,760 --> 00:17:29,440 Speaker 2: you know, she was of course, worried it was going 312 00:17:29,480 --> 00:17:32,760 Speaker 2: to impact her career, and she started putting feelers around 313 00:17:32,800 --> 00:17:35,040 Speaker 2: the office to see if anybody else had had this 314 00:17:35,160 --> 00:17:38,000 Speaker 2: experience with him. She even at one point brought it 315 00:17:38,000 --> 00:17:40,560 Speaker 2: to management, who kind of blew it off as Roger 316 00:17:40,600 --> 00:17:44,800 Speaker 2: Ayls was just infatuated with her. So after putting feelers 317 00:17:44,800 --> 00:17:47,119 Speaker 2: out and talking to a couple of her colleagues about it, 318 00:17:47,160 --> 00:17:50,879 Speaker 2: she decided, you know, I don't want this to affect 319 00:17:50,920 --> 00:17:52,040 Speaker 2: my career overall. 320 00:17:52,080 --> 00:17:52,840 Speaker 1: I don't want to be. 321 00:17:52,960 --> 00:17:55,919 Speaker 2: Like a shit starter at my job, so I just 322 00:17:55,960 --> 00:17:57,800 Speaker 2: want to like kind of make it go away, because 323 00:17:57,840 --> 00:18:00,760 Speaker 2: she was embarrassed that it even happened, even though she 324 00:18:00,920 --> 00:18:03,840 Speaker 2: denied all of his advances. So then, you know, fast 325 00:18:03,880 --> 00:18:07,280 Speaker 2: forward years later, we have this lawsuit by Gretchen Carlson 326 00:18:07,320 --> 00:18:10,600 Speaker 2: that's exposing this huge problem going on behind the scenes, 327 00:18:10,640 --> 00:18:13,119 Speaker 2: and then we find out there's many victims, but the 328 00:18:13,240 --> 00:18:16,440 Speaker 2: victims had gone back for decades. So of course everybody's 329 00:18:16,520 --> 00:18:18,600 Speaker 2: quick to jump on and blame the women for not 330 00:18:18,640 --> 00:18:21,160 Speaker 2: coming forward. But there's a lot of concerns when you're 331 00:18:21,200 --> 00:18:22,400 Speaker 2: dealing with men like this. 332 00:18:23,880 --> 00:18:28,040 Speaker 1: Yeah, and I understand what you're saying for sure, but 333 00:18:28,280 --> 00:18:32,480 Speaker 1: I just I'm always skeptical as well, Like I don't 334 00:18:32,520 --> 00:18:35,520 Speaker 1: I'm not like a you know, believe all women thing 335 00:18:35,640 --> 00:18:37,679 Speaker 1: like it could be. I want to go on a 336 00:18:37,720 --> 00:18:40,320 Speaker 1: case by case basis of what's happening. 337 00:18:41,000 --> 00:18:43,840 Speaker 2: I think that's important, especially with everything we're seeing with 338 00:18:43,880 --> 00:18:45,200 Speaker 2: Blake Lively right now. 339 00:18:45,880 --> 00:18:49,080 Speaker 1: Yeah, well exactly, And that's why I feel that way. 340 00:18:50,080 --> 00:18:53,400 Speaker 1: I don't know, like I look at it right now, 341 00:18:53,480 --> 00:18:56,840 Speaker 1: like nineteen ninety nine to two thousand and five was 342 00:18:56,960 --> 00:19:01,199 Speaker 1: just such a long, long, long time go and I 343 00:19:01,359 --> 00:19:04,639 Speaker 1: think about, like, let me give you like an exact 344 00:19:04,720 --> 00:19:06,879 Speaker 1: example of something that happened in my life, because I 345 00:19:06,880 --> 00:19:10,879 Speaker 1: think if you talk to every single woman really like 346 00:19:10,960 --> 00:19:13,879 Speaker 1: they have some kind of experience of some kind of 347 00:19:14,000 --> 00:19:19,560 Speaker 1: sexual I wouldn't say like assault, but just maybe well 348 00:19:19,600 --> 00:19:22,679 Speaker 1: you would consider it sexual assault. Now, like people at 349 00:19:22,720 --> 00:19:24,840 Speaker 1: your job, Like I'm going to use an example of 350 00:19:24,960 --> 00:19:27,960 Speaker 1: like someone grabbing my ass or something like that. Right, 351 00:19:28,680 --> 00:19:31,960 Speaker 1: Like I started working when I was fourteen years old 352 00:19:32,040 --> 00:19:36,439 Speaker 1: at a bakery, right and in like underground bakery, like 353 00:19:36,760 --> 00:19:41,280 Speaker 1: under the table whatever, right, And like there were guys 354 00:19:41,320 --> 00:19:43,760 Speaker 1: working there. I was fourteen, there were guys working there 355 00:19:43,800 --> 00:19:46,119 Speaker 1: that were like older than me, and they would like 356 00:19:46,160 --> 00:19:48,199 Speaker 1: come up to me and grab my ass and like 357 00:19:48,520 --> 00:19:51,080 Speaker 1: this one guy like grabbed my ass like really hard 358 00:19:51,119 --> 00:19:54,160 Speaker 1: and like like stuck his finger kind of like as 359 00:19:54,160 --> 00:19:55,879 Speaker 1: far as he could with my pants on, you know, 360 00:19:56,600 --> 00:19:59,399 Speaker 1: and like whatever, I stopped working and I was just 361 00:19:59,440 --> 00:20:01,400 Speaker 1: like ew, get off me, and like slap the guy 362 00:20:01,440 --> 00:20:02,800 Speaker 1: off of me. And that was the end of it. 363 00:20:02,840 --> 00:20:07,000 Speaker 1: Like it was nothing. Right, It's totally wrong that that happened. 364 00:20:07,480 --> 00:20:10,080 Speaker 1: I one hundred percent agree, Like if that happened to 365 00:20:10,160 --> 00:20:12,200 Speaker 1: one of my kids right now, I would go down 366 00:20:12,280 --> 00:20:16,160 Speaker 1: there and like punch them in the face and get 367 00:20:16,200 --> 00:20:18,160 Speaker 1: my anger out on them before I would even call 368 00:20:18,200 --> 00:20:23,640 Speaker 1: the police. Right, But like, now, okay, so now right, 369 00:20:23,720 --> 00:20:25,920 Speaker 1: I and I carry that with me, like I don't 370 00:20:25,960 --> 00:20:30,040 Speaker 1: really consider that to be like as as intense as 371 00:20:30,080 --> 00:20:32,440 Speaker 1: like other people's experiences and I don't know what these 372 00:20:32,440 --> 00:20:36,200 Speaker 1: women's experiences are or whatever, but like it's just kind 373 00:20:36,240 --> 00:20:38,800 Speaker 1: of like whatever, that guy was an asshole, blah blah 374 00:20:38,800 --> 00:20:41,560 Speaker 1: blah blah blah, move on with my life. Right So now, 375 00:20:41,600 --> 00:20:46,359 Speaker 1: like in two thousand and twenty five, like, am I 376 00:20:46,480 --> 00:20:49,040 Speaker 1: gonna go and try to figure out who that dude 377 00:20:49,240 --> 00:20:52,640 Speaker 1: was and like get him arrested and whatever? 378 00:20:52,800 --> 00:20:56,119 Speaker 2: Well, I think you might be inclined if you're constantly 379 00:20:56,160 --> 00:20:58,240 Speaker 2: seeing his face on television and. 380 00:20:58,640 --> 00:21:01,720 Speaker 1: But that's but that's my I might because the guy's 381 00:21:01,760 --> 00:21:04,440 Speaker 1: got money and I want to like take down a. 382 00:21:04,400 --> 00:21:07,719 Speaker 2: Faming person daily reminder of something bad that happened. 383 00:21:07,840 --> 00:21:11,160 Speaker 1: No, because no, because I just I like I'm over 384 00:21:11,200 --> 00:21:13,479 Speaker 1: it and I've been over it, Like it's it's just 385 00:21:13,520 --> 00:21:16,239 Speaker 1: like I'm not like living as a victim of it. 386 00:21:16,400 --> 00:21:18,480 Speaker 1: I'm just saying it's a memory I have from when 387 00:21:18,520 --> 00:21:22,960 Speaker 1: I was younger. But like now, let's vice versa and say, 388 00:21:22,960 --> 00:21:25,040 Speaker 1: like I was working on a movie set and that 389 00:21:25,080 --> 00:21:29,720 Speaker 1: guy so happened to be Russell Brand Well, like isn't 390 00:21:29,760 --> 00:21:32,600 Speaker 1: there something in it that like people go after him 391 00:21:32,600 --> 00:21:34,960 Speaker 1: because of who he is, because he's got money, because 392 00:21:34,960 --> 00:21:37,200 Speaker 1: he's famous, because they want to take him down, because 393 00:21:37,200 --> 00:21:39,439 Speaker 1: they're jealous that he has more than they do. Like 394 00:21:39,720 --> 00:21:42,399 Speaker 1: there's there's all this other angle to it. Because the 395 00:21:42,480 --> 00:21:45,440 Speaker 1: guy that was working at the bakery in his twenties 396 00:21:45,560 --> 00:21:49,080 Speaker 1: or thirties, that that was involved in my case, like 397 00:21:49,600 --> 00:21:52,840 Speaker 1: he's he's probably like a loser right now, Like why 398 00:21:52,840 --> 00:21:55,280 Speaker 1: would I even bother? Why? You know, like it that's 399 00:21:55,280 --> 00:21:57,480 Speaker 1: how I look at it, like you don't hear about 400 00:21:57,480 --> 00:22:02,120 Speaker 1: these accusations coming out on regular, everyday people because there's 401 00:22:02,160 --> 00:22:04,840 Speaker 1: nothing to get out of it besides money, which. 402 00:22:04,720 --> 00:22:07,520 Speaker 2: Is a lie because it does happen with regular people. 403 00:22:07,560 --> 00:22:11,840 Speaker 1: But you know a regular person that's just living around 404 00:22:11,880 --> 00:22:13,919 Speaker 1: here right now that's going to jail for something that 405 00:22:13,960 --> 00:22:15,480 Speaker 1: they did twenty years ago. Like that. 406 00:22:16,280 --> 00:22:19,520 Speaker 2: No, just making the point I always stay. But you're 407 00:22:19,800 --> 00:22:23,440 Speaker 2: saying that there are plenty of people that make things 408 00:22:23,520 --> 00:22:25,440 Speaker 2: up and go after celebrities. 409 00:22:25,720 --> 00:22:28,159 Speaker 1: I don't even thine there, I don't even know this 410 00:22:28,359 --> 00:22:31,080 Speaker 1: are no think that they're making it up. I'm just 411 00:22:31,200 --> 00:22:35,439 Speaker 1: kind of like, dude, like it's it's it's just I 412 00:22:35,560 --> 00:22:37,560 Speaker 1: just don't. I don't know, Like I just don't. I 413 00:22:37,600 --> 00:22:40,199 Speaker 1: don't like this, like all of a sudden, all these 414 00:22:40,240 --> 00:22:42,360 Speaker 1: people come out of the woodwork, Like where the fuck 415 00:22:42,400 --> 00:22:44,600 Speaker 1: have these people been for twenty five years? 416 00:22:44,640 --> 00:22:47,040 Speaker 2: Because like you're missing the point of my story with 417 00:22:47,119 --> 00:22:49,520 Speaker 2: Megan Kelly is that it happened to her, I believe 418 00:22:49,560 --> 00:22:52,560 Speaker 2: in like two thousand and six, and she couldn't come 419 00:22:52,600 --> 00:22:55,760 Speaker 2: out for a decade because she had actively tried in 420 00:22:55,800 --> 00:22:58,720 Speaker 2: two thousand and six at the time it occurred to 421 00:22:58,840 --> 00:23:00,760 Speaker 2: try to get around it and figure out how to 422 00:23:00,760 --> 00:23:03,560 Speaker 2: get out of this situation and hold him accountable. But 423 00:23:03,720 --> 00:23:06,400 Speaker 2: she was not able to do so until many other 424 00:23:06,440 --> 00:23:07,639 Speaker 2: women came out later. 425 00:23:08,560 --> 00:23:10,879 Speaker 1: But why are they going to the news then, And 426 00:23:10,880 --> 00:23:11,880 Speaker 1: they're not going to the. 427 00:23:11,840 --> 00:23:16,000 Speaker 2: Police because you, like, some people go to the police 428 00:23:16,040 --> 00:23:18,600 Speaker 2: and they don't do anything. So your only option is 429 00:23:18,640 --> 00:23:22,600 Speaker 2: to go to the news. I'm telling you, I just don't. 430 00:23:22,720 --> 00:23:25,879 Speaker 1: I don't. I'm sorry, like you, you we could disagree 431 00:23:25,880 --> 00:23:27,800 Speaker 1: on this, Like I just I just think it's like, 432 00:23:28,320 --> 00:23:31,040 Speaker 1: it's just kind of like whatever, dude, you have. 433 00:23:31,000 --> 00:23:33,640 Speaker 2: Every right to be skeptical. I mean, people certainly come 434 00:23:33,680 --> 00:23:37,399 Speaker 2: forward with false accusations, but I think it's important to 435 00:23:37,520 --> 00:23:40,919 Speaker 2: look at like the amount of people. It's not one person, 436 00:23:41,040 --> 00:23:44,080 Speaker 2: Like look at Blake Lively and Justin Baldoni, for example. 437 00:23:44,280 --> 00:23:47,320 Speaker 2: There is not one other person coming forward saying Justin 438 00:23:47,359 --> 00:23:50,520 Speaker 2: Baldoni's actually harass them. And that's where it makes a 439 00:23:50,520 --> 00:23:54,120 Speaker 2: gray area because there's not enough claims to back up 440 00:23:54,359 --> 00:23:57,680 Speaker 2: what she what Blake Lively is saying. So like, when 441 00:23:57,680 --> 00:23:59,400 Speaker 2: you look at this case and there's a two year 442 00:23:59,440 --> 00:24:03,400 Speaker 2: investigation and there's four women involved, you have to start 443 00:24:03,440 --> 00:24:04,400 Speaker 2: thinking about this. 444 00:24:04,400 --> 00:24:08,040 Speaker 1: This is but this is why like and and you know, 445 00:24:08,359 --> 00:24:10,440 Speaker 1: you you sit there and say, well, women can't come 446 00:24:10,480 --> 00:24:13,560 Speaker 1: forward and stuff like women can't come forward because of 447 00:24:13,600 --> 00:24:16,520 Speaker 1: the Blake Lively situation, and like I know that, but 448 00:24:16,600 --> 00:24:19,919 Speaker 1: because but like and like if that, if that turns 449 00:24:19,920 --> 00:24:22,000 Speaker 1: out like after they go to court and stuff to 450 00:24:22,080 --> 00:24:25,960 Speaker 1: be like true, she should be ostracized because of that. 451 00:24:26,119 --> 00:24:30,280 Speaker 1: Because that This is why like people like me are 452 00:24:30,400 --> 00:24:33,560 Speaker 1: even too, are just kind of like, okay, here's another one, 453 00:24:33,640 --> 00:24:37,520 Speaker 1: because it's just like there's a certain there's a certain 454 00:24:37,600 --> 00:24:39,439 Speaker 1: level that like you don't even want to hear it 455 00:24:39,480 --> 00:24:42,199 Speaker 1: anymore because it's just like, oh, yeah, it happened to 456 00:24:42,200 --> 00:24:48,240 Speaker 1: you whatever. Like I don't know, I'm like the years 457 00:24:48,280 --> 00:24:52,000 Speaker 1: are just bothering me because like, dude, in nineteen ninety nine, 458 00:24:52,160 --> 00:24:54,840 Speaker 1: it was like a year after I was done working 459 00:24:54,880 --> 00:24:58,080 Speaker 1: at Hot Topic, and like I literally was working at 460 00:24:58,119 --> 00:25:00,600 Speaker 1: the mall and like getting ready to go to college 461 00:25:00,760 --> 00:25:04,680 Speaker 1: at like it's just it's just so fricking long ago. 462 00:25:04,800 --> 00:25:07,119 Speaker 1: I can't even imagine that. 463 00:25:08,119 --> 00:25:10,359 Speaker 2: The point I'm trying to make is that at the time, 464 00:25:10,600 --> 00:25:13,520 Speaker 2: this woman may have gone to somebody and told them 465 00:25:13,520 --> 00:25:16,160 Speaker 2: and nobody did anything about it, and it. 466 00:25:16,160 --> 00:25:17,200 Speaker 1: Kept coming back up. 467 00:25:17,359 --> 00:25:20,840 Speaker 2: So she eventually felt her only way to like get 468 00:25:20,880 --> 00:25:22,760 Speaker 2: a hold on it was to go to the media 469 00:25:22,840 --> 00:25:26,159 Speaker 2: to expose it, because that does happen a lot of times. 470 00:25:26,640 --> 00:25:29,080 Speaker 2: But there is also a world in which these people 471 00:25:29,080 --> 00:25:30,960 Speaker 2: could be totally making it up to get a nice, 472 00:25:30,960 --> 00:25:35,160 Speaker 2: fat paycheck. So I don't think in the UK they're 473 00:25:35,160 --> 00:25:39,359 Speaker 2: getting a paycheck because it's criminal charges. He's facing a 474 00:25:39,359 --> 00:25:42,879 Speaker 2: civil lawsuit in the United States right now, So like, 475 00:25:43,520 --> 00:25:46,040 Speaker 2: I don't know what's going to result in that, and 476 00:25:46,080 --> 00:25:48,639 Speaker 2: it's you get a paycheck from from the newspaper that 477 00:25:48,680 --> 00:25:52,440 Speaker 2: they brought it to. Yeah, maybe, like not all newspapers pay, 478 00:25:52,520 --> 00:25:57,560 Speaker 2: so like you don't know, it's not not all newspapers pay. 479 00:25:58,800 --> 00:26:01,720 Speaker 2: That one might have, but you just really don't know. 480 00:26:01,800 --> 00:26:04,359 Speaker 2: It's like he said, she said, you just don't know. 481 00:26:12,720 --> 00:26:16,000 Speaker 1: Guys. We are so excited that we have hit over 482 00:26:16,160 --> 00:26:20,720 Speaker 1: one million downloads and we are having a giveaway to celebrate. 483 00:26:21,520 --> 00:26:23,720 Speaker 2: Yeah, so you guys can enter for a chance to 484 00:26:23,800 --> 00:26:26,760 Speaker 2: win one free year to the Grossroom, a signed copy 485 00:26:26,800 --> 00:26:31,480 Speaker 2: of Nicole and Jimmy's Anatomy book, and a skull giant microbe. 486 00:26:31,560 --> 00:26:33,439 Speaker 2: All you have to do is head over to Apple 487 00:26:33,680 --> 00:26:36,440 Speaker 2: or Spotify, and leave us a review, or head over 488 00:26:36,480 --> 00:26:40,159 Speaker 2: to our YouTube channel and subscribe. Screenshot your submission and 489 00:26:40,240 --> 00:26:43,280 Speaker 2: send it over to stories at Mothernosdeath dot com. You 490 00:26:43,320 --> 00:26:45,720 Speaker 2: guys have another week to enter the contest and then 491 00:26:45,760 --> 00:26:48,040 Speaker 2: we will be announcing winners the following week. 492 00:26:49,359 --> 00:26:52,560 Speaker 1: All right, so let's start with this case of the 493 00:26:52,640 --> 00:26:56,520 Speaker 1: nurses that are working on a maternity floor in a hospital. 494 00:26:56,560 --> 00:26:59,840 Speaker 1: They all work together, and they all somehow have brain tumors. 495 00:27:00,280 --> 00:27:03,399 Speaker 2: Yeah, so this is happening at this hospital in Massachusetts, 496 00:27:03,480 --> 00:27:06,080 Speaker 2: and five of these nurses have come up with these 497 00:27:06,119 --> 00:27:09,320 Speaker 2: benign brain tumors, and six other workers at the same 498 00:27:09,320 --> 00:27:12,240 Speaker 2: hospital have come up with other weird health situations. 499 00:27:12,920 --> 00:27:16,399 Speaker 1: So the other weird health situations don't really alarm me 500 00:27:16,480 --> 00:27:19,480 Speaker 1: as much because like every like, talk to every one 501 00:27:19,480 --> 00:27:21,880 Speaker 1: of your friends. Everybody's got a weird health situation. That's 502 00:27:21,920 --> 00:27:24,760 Speaker 1: like why we do this podcast. Right. All of these 503 00:27:24,880 --> 00:27:29,439 Speaker 1: people had benign brain tumors, right, which is good at 504 00:27:29,520 --> 00:27:33,360 Speaker 1: least they didn't get brain cancer. But the interesting part 505 00:27:33,560 --> 00:27:36,080 Speaker 1: of this is that there were five different tumors, but 506 00:27:36,680 --> 00:27:39,680 Speaker 1: of those five, it was three different kinds of benign 507 00:27:39,800 --> 00:27:44,560 Speaker 1: brain tumors. So there were two meningiomas, but there were 508 00:27:44,600 --> 00:27:48,960 Speaker 1: also other kinds of brain tumors, including probably I would say, 509 00:27:49,000 --> 00:27:53,439 Speaker 1: just based upon most commons, like an acoustic neuroma, or 510 00:27:53,560 --> 00:27:58,000 Speaker 1: also I would say, like a pituitary adnoma. Now, the 511 00:27:58,080 --> 00:28:01,359 Speaker 1: reason that it's important that there's these different tumors is 512 00:28:01,400 --> 00:28:07,399 Speaker 1: because like meningiomas, for sure, I would say definitely have 513 00:28:07,520 --> 00:28:10,800 Speaker 1: an increased risk with something like radiation exposure, so to 514 00:28:11,000 --> 00:28:16,480 Speaker 1: acoustic neuromas, but like pituitary adnomas, they they don't really, 515 00:28:16,520 --> 00:28:19,120 Speaker 1: they might, they might not. So it's like there's hard 516 00:28:19,160 --> 00:28:22,919 Speaker 1: to see like a correlation between like pathology versus like 517 00:28:23,000 --> 00:28:26,320 Speaker 1: what they were exposed to in that case. So that's 518 00:28:26,359 --> 00:28:28,760 Speaker 1: what's you know how it's like very interesting at a 519 00:28:28,880 --> 00:28:32,600 Speaker 1: job because the most famous job related pathologies would be 520 00:28:32,720 --> 00:28:36,320 Speaker 1: like asbestos. Right, it's very easy to see like they 521 00:28:36,320 --> 00:28:40,280 Speaker 1: have this very specific pathology and they have musothelioma and 522 00:28:41,000 --> 00:28:45,600 Speaker 1: it correlates to asbesis disposure, whereas these are like, they don't. 523 00:28:45,840 --> 00:28:48,280 Speaker 1: They didn't find anything when they were testing. So the 524 00:28:48,960 --> 00:28:52,880 Speaker 1: health the Occupational safety on the state level came in 525 00:28:53,200 --> 00:28:57,000 Speaker 1: and did a bunch of testing. They found nothing, and 526 00:28:57,400 --> 00:29:00,640 Speaker 1: they're trying to correlate it to They say the other 527 00:29:00,680 --> 00:29:03,720 Speaker 1: health diseases that these the other people are suffering from. 528 00:29:03,840 --> 00:29:05,880 Speaker 1: But they're trying to correlate both of them, and they're like, 529 00:29:05,920 --> 00:29:09,040 Speaker 1: there's nothing here now. Like I said, it's it's very 530 00:29:09,760 --> 00:29:12,560 Speaker 1: I guess it's possible in some kind of world that 531 00:29:12,760 --> 00:29:17,040 Speaker 1: it is that they all just so happened to have 532 00:29:17,080 --> 00:29:19,640 Speaker 1: a brain tumor. I think a lot of people. I 533 00:29:20,080 --> 00:29:23,400 Speaker 1: know two people in my immediate family that have benign 534 00:29:23,520 --> 00:29:27,200 Speaker 1: brain tumors that didn't even know they had it, right. 535 00:29:27,640 --> 00:29:30,880 Speaker 2: So me, because I have a pituitary you but you 536 00:29:31,200 --> 00:29:34,080 Speaker 2: and I was under the impression that it was just 537 00:29:34,400 --> 00:29:39,160 Speaker 2: a genetic weird thing, like it wasn't from an environmental exposure. 538 00:29:39,520 --> 00:29:42,760 Speaker 1: That's how it's not one hundred percent certain of that. 539 00:29:42,920 --> 00:29:46,520 Speaker 1: But it doesn't have a strong link like other things do. Now, 540 00:29:46,680 --> 00:29:49,160 Speaker 1: Like like I'm saying, like, you had a brain tumor, 541 00:29:49,240 --> 00:29:51,320 Speaker 1: we don't know how long you didn't even know it. Right, 542 00:29:52,360 --> 00:29:55,600 Speaker 1: My father in law gives me his scan for something 543 00:29:55,640 --> 00:29:57,800 Speaker 1: I don't even know what he was getting done somewhere 544 00:29:57,800 --> 00:30:00,400 Speaker 1: on his head and neck, and it's like, oh, there's 545 00:30:00,440 --> 00:30:03,840 Speaker 1: a one centimeter miningeoman the frontal lobe of your brain. 546 00:30:03,880 --> 00:30:05,560 Speaker 1: And I look at him and I'm like, did you 547 00:30:05,600 --> 00:30:08,320 Speaker 1: know you had a brain tumor? And he's like no. 548 00:30:08,480 --> 00:30:10,200 Speaker 1: And it's like a huge joke in our family now 549 00:30:10,200 --> 00:30:11,760 Speaker 1: because we're like, that's what's wrong with you. You have 550 00:30:11,800 --> 00:30:15,280 Speaker 1: a brain tumor. Right, So so anyway, like we were 551 00:30:15,280 --> 00:30:19,400 Speaker 1: just joking about that, but like people have things anyway. 552 00:30:19,720 --> 00:30:22,760 Speaker 1: But I'm assuming that if all these people got testing done, 553 00:30:22,760 --> 00:30:25,080 Speaker 1: like they must have been having symptoms it otherwise, like 554 00:30:25,200 --> 00:30:27,680 Speaker 1: how how would you even know that you had it? Right? 555 00:30:28,160 --> 00:30:31,640 Speaker 1: And I so I had a similar situation at my 556 00:30:31,800 --> 00:30:35,280 Speaker 1: last job, and my coworker, my old coworker, Jess could 557 00:30:35,440 --> 00:30:38,840 Speaker 1: can talk about this with me that we had a bet. 558 00:30:38,880 --> 00:30:41,520 Speaker 1: We were working in a newer hospital and the ventilation 559 00:30:41,680 --> 00:30:44,600 Speaker 1: system for the lab was bad. It was just really bad. 560 00:30:45,040 --> 00:30:48,560 Speaker 1: And obviously in the pathology lab we deal with formaldehyde 561 00:30:48,560 --> 00:30:51,360 Speaker 1: mostly alcohols too, but like formaldehyde is the biggest one 562 00:30:51,360 --> 00:30:53,400 Speaker 1: that you don't want to be breathing in and we 563 00:30:53,560 --> 00:30:58,000 Speaker 1: constantly like had burning face, burning eyes. The thing didn't work, 564 00:30:58,320 --> 00:31:00,360 Speaker 1: and then it was weird like at lunchtime we would 565 00:31:00,360 --> 00:31:03,840 Speaker 1: smell the exhaust from from them making burgers in the 566 00:31:03,920 --> 00:31:06,760 Speaker 1: lunch room that was way far away from our labs. 567 00:31:06,800 --> 00:31:09,240 Speaker 1: So strong. We were like, something's not right with the 568 00:31:09,360 --> 00:31:12,960 Speaker 1: ventilation system, and we brought it up. We had all 569 00:31:13,000 --> 00:31:15,160 Speaker 1: of these people come in all of the time. It 570 00:31:15,200 --> 00:31:18,280 Speaker 1: was just so ridiculous, and people were just like, oh, 571 00:31:18,320 --> 00:31:20,480 Speaker 1: we can't find anything, we can't find anything, and it's 572 00:31:20,480 --> 00:31:23,440 Speaker 1: just like it's it's just total bullshit. So I feel 573 00:31:23,520 --> 00:31:26,640 Speaker 1: terrible for these nurses working on the floor because they 574 00:31:26,680 --> 00:31:29,320 Speaker 1: basically are just told like, nothing to see here, move on. 575 00:31:29,360 --> 00:31:31,560 Speaker 1: And just because they didn't find anything doesn't mean that 576 00:31:31,600 --> 00:31:34,920 Speaker 1: there's nothing there. So they brought up lots of different 577 00:31:34,960 --> 00:31:38,600 Speaker 1: things that could possibly they had concerned about. They were 578 00:31:38,640 --> 00:31:41,640 Speaker 1: wearing a mask like twenty four to seven during the pandemic, 579 00:31:41,720 --> 00:31:44,600 Speaker 1: so they and of course like the CDC and all 580 00:31:44,600 --> 00:31:47,000 Speaker 1: these people are saying that there's no correlation that that 581 00:31:47,080 --> 00:31:51,080 Speaker 1: causes brain tumors, which which is possible, but like, they 582 00:31:51,120 --> 00:31:53,800 Speaker 1: also don't really have any long term studies of people 583 00:31:53,880 --> 00:31:56,200 Speaker 1: wearing a mask for years and years in a row 584 00:31:56,680 --> 00:31:59,360 Speaker 1: because that's not what it was designed forever, right, So 585 00:31:59,560 --> 00:32:02,160 Speaker 1: they don't have that evidence yet and they might just 586 00:32:02,200 --> 00:32:05,280 Speaker 1: start rearing it's ugly. Had now those things have chemicals 587 00:32:05,360 --> 00:32:07,040 Speaker 1: on them, I'm sorry, Like, and if you have them 588 00:32:07,040 --> 00:32:10,240 Speaker 1: on your face all day. They they definitely cause irritation 589 00:32:10,320 --> 00:32:12,920 Speaker 1: to the skin. Sometimes they've caused other people problems, So like, 590 00:32:13,400 --> 00:32:15,760 Speaker 1: I wouldn't one hundred percent roll that out. They had 591 00:32:15,760 --> 00:32:18,640 Speaker 1: to use some other kind of chemical to decontaminate the 592 00:32:18,720 --> 00:32:21,320 Speaker 1: N ninety five mass during the pandemic as well. Now 593 00:32:21,360 --> 00:32:23,360 Speaker 1: they're so they've ruled that out and said, like, no, 594 00:32:23,760 --> 00:32:27,120 Speaker 1: that's not happening. They checked the drinking water, they said 595 00:32:27,120 --> 00:32:29,520 Speaker 1: it was fine. They checked They said that there were 596 00:32:29,720 --> 00:32:32,440 Speaker 1: X rays one six hundred and sixty eight within the 597 00:32:32,440 --> 00:32:34,960 Speaker 1: past couple years on that floor with a portable X 598 00:32:35,080 --> 00:32:37,840 Speaker 1: ray machine, and they said even if a staff member 599 00:32:37,920 --> 00:32:40,160 Speaker 1: was present for every single one of those X rays, 600 00:32:40,160 --> 00:32:43,040 Speaker 1: they still wouldn't have been around enough radiation exposure to 601 00:32:43,120 --> 00:32:48,440 Speaker 1: cause a problem. Apparently there's a pharmacy below the below 602 00:32:48,520 --> 00:32:52,080 Speaker 1: the maternity floor that's making that's using ventilated systems for 603 00:32:52,200 --> 00:32:55,200 Speaker 1: some kind of chemicals that they're working on there. So 604 00:32:56,560 --> 00:32:59,240 Speaker 1: they've ruled everything out, and now all of these people 605 00:32:59,320 --> 00:33:02,360 Speaker 1: are working on Explore, and not just the nurses, but 606 00:33:02,440 --> 00:33:04,320 Speaker 1: all the staff that are working on the floor are 607 00:33:04,400 --> 00:33:08,320 Speaker 1: left with like, now what, I don't know? 608 00:33:08,400 --> 00:33:11,560 Speaker 2: And I wouldn't accept this because I do think I 609 00:33:11,640 --> 00:33:15,200 Speaker 2: understand you're saying. It's like multiple forms. It's not like 610 00:33:15,240 --> 00:33:18,480 Speaker 2: everybody has the same exact kind, but it is eerie 611 00:33:18,560 --> 00:33:22,440 Speaker 2: to think about, and they must have been having symptoms. 612 00:33:22,840 --> 00:33:25,600 Speaker 2: I don't know this. This just bothers me because I'm thinking, 613 00:33:25,680 --> 00:33:28,840 Speaker 2: like I only found out about my thing because I 614 00:33:28,880 --> 00:33:31,520 Speaker 2: was getting blood work for something totally different and it 615 00:33:31,520 --> 00:33:33,600 Speaker 2: came up, and I just want to tell this story 616 00:33:33,600 --> 00:33:37,000 Speaker 2: really quick. So like I get my blood panel back 617 00:33:37,040 --> 00:33:39,840 Speaker 2: and I'm reading it, so I see like my prolactance high, 618 00:33:39,880 --> 00:33:43,760 Speaker 2: and then of course I'm like googling it and it's like, oh, 619 00:33:43,840 --> 00:33:46,280 Speaker 2: you might have a brain tumor, right, So I'm like, uh, 620 00:33:46,320 --> 00:33:47,360 Speaker 2: classic web MD. 621 00:33:47,480 --> 00:33:48,840 Speaker 1: I'm just gonna blow it off. 622 00:33:49,400 --> 00:33:51,680 Speaker 2: So then I send it to you and you're just 623 00:33:51,760 --> 00:33:53,760 Speaker 2: so casually like you have a brain tumor. 624 00:33:53,800 --> 00:33:56,600 Speaker 1: It's fine, And I'm like, what are you talking about? 625 00:33:57,000 --> 00:33:59,000 Speaker 1: But it really is fun. Did you want me to 626 00:33:59,120 --> 00:34:01,640 Speaker 1: like like put your head on my bosom and like 627 00:34:01,720 --> 00:34:03,800 Speaker 1: hold you and tell you it was gonna be okay? 628 00:34:03,840 --> 00:34:06,320 Speaker 1: Like it's not cancer, They get treat you, you're fine. 629 00:34:06,440 --> 00:34:11,640 Speaker 2: Your delivery of your medical diagnosis is like insane. 630 00:34:11,800 --> 00:34:15,239 Speaker 1: It's why we call you doctor death. It was. If 631 00:34:15,280 --> 00:34:17,640 Speaker 1: it was serious, I would have been a little bit more. 632 00:34:17,920 --> 00:34:21,279 Speaker 1: It's just like like listen, like I'll tell you when 633 00:34:21,280 --> 00:34:24,960 Speaker 1: there's a problem, trust me. It's look, you're alive. 634 00:34:25,080 --> 00:34:27,879 Speaker 2: So I was right, well, it's like really in my case, 635 00:34:27,920 --> 00:34:29,560 Speaker 2: it's really not a big deal at all. But like 636 00:34:29,600 --> 00:34:33,680 Speaker 2: for these people, I just I wouldn't be comfortable with 637 00:34:33,840 --> 00:34:37,800 Speaker 2: this investigation just being like, you know, there's nothing wrong. 638 00:34:37,840 --> 00:34:41,200 Speaker 2: And it seems like the Massachusetts Nurse Association is also 639 00:34:41,280 --> 00:34:44,160 Speaker 2: saying that their testing was not comprehensive and they're gonna 640 00:34:44,239 --> 00:34:48,680 Speaker 2: keep pushing for me. Yeah, and apparently the federal level 641 00:34:48,719 --> 00:34:51,440 Speaker 2: of OSHA is not even aware that this is going on. 642 00:34:51,640 --> 00:34:54,440 Speaker 2: So I would hope they're gonna, like the big guns 643 00:34:54,440 --> 00:34:56,839 Speaker 2: are gonna step in and try to. 644 00:34:57,280 --> 00:34:59,520 Speaker 1: There was some I didn't look this up because I 645 00:34:59,600 --> 00:35:02,040 Speaker 1: just thought this. I just thought of this right now. 646 00:35:02,080 --> 00:35:05,360 Speaker 1: But do you remember that there's like all of these 647 00:35:05,560 --> 00:35:09,440 Speaker 1: cases of weird cancer. I think it's actually bringing tumors too, 648 00:35:09,600 --> 00:35:12,759 Speaker 1: being linked to the vet in in Philly, our old 649 00:35:12,840 --> 00:35:18,080 Speaker 1: Phillies and Eagles Stadium. Yeah, at the Veteran Stadium. Every 650 00:35:18,120 --> 00:35:21,840 Speaker 1: single person that had these tumors was either like related 651 00:35:21,920 --> 00:35:25,480 Speaker 1: they worked there or they somehow they linked it all 652 00:35:25,520 --> 00:35:29,000 Speaker 1: back to there, and I never I don't we should 653 00:35:29,000 --> 00:35:31,440 Speaker 1: actually like do a deeper dive into that because I'm 654 00:35:31,480 --> 00:35:32,239 Speaker 1: interested in that. 655 00:35:32,360 --> 00:35:35,040 Speaker 2: Like I believe a high profile death's a section. I 656 00:35:35,120 --> 00:35:38,440 Speaker 2: believe John Kruk had a cancer that was related to 657 00:35:38,520 --> 00:35:40,400 Speaker 2: the turf field from the Veterans. 658 00:35:40,440 --> 00:35:42,880 Speaker 1: Yeah, it was something about the turf. And then remember 659 00:35:42,920 --> 00:35:46,920 Speaker 1: they were like they were selling the turf on eBay 660 00:35:46,960 --> 00:35:49,719 Speaker 1: on eBay, like for a memory, and I was just like, yeah, 661 00:35:49,800 --> 00:35:51,919 Speaker 1: no thanks, I don't want that in my house. Yeah, 662 00:35:53,080 --> 00:35:56,200 Speaker 1: which whatever, like in a glass case, it's fine, but 663 00:35:56,280 --> 00:36:00,719 Speaker 1: it's just like bad juju or whatever. All right, let's 664 00:36:00,800 --> 00:36:02,960 Speaker 1: so let's do a high profile depth dis section on 665 00:36:03,000 --> 00:36:06,520 Speaker 1: that because I like that kind of stuff. Yeah. Have 666 00:36:06,640 --> 00:36:10,920 Speaker 1: you heard about these tattoos that are apparently they're like 667 00:36:11,080 --> 00:36:12,600 Speaker 1: semi permanent tattoos. 668 00:36:13,080 --> 00:36:16,520 Speaker 2: Well, I've seen them circulating on social media, but I 669 00:36:16,719 --> 00:36:19,360 Speaker 2: just assume, like most things I see on social media, 670 00:36:19,440 --> 00:36:22,719 Speaker 2: that it wasn't true or people are just idiots for 671 00:36:22,840 --> 00:36:25,000 Speaker 2: like not understanding how tattooing works. 672 00:36:26,320 --> 00:36:29,120 Speaker 1: I don't know, like I I don't know where the 673 00:36:29,120 --> 00:36:31,000 Speaker 1: hell I've been. I just like, this is the first 674 00:36:31,040 --> 00:36:34,520 Speaker 1: time I've heard of it, and so I'm looking into 675 00:36:34,640 --> 00:36:38,840 Speaker 1: it and it's it's it's like they're doing a normal tattoo, 676 00:36:38,880 --> 00:36:41,480 Speaker 1: except they're using this other kind of ink that is 677 00:36:41,520 --> 00:36:45,280 Speaker 1: supposed to be able to be removed from your body easier. 678 00:36:45,400 --> 00:36:48,240 Speaker 1: And they're tattoos that are done that are only supposed 679 00:36:48,239 --> 00:36:51,360 Speaker 1: to last a year to one to three years, and 680 00:36:51,400 --> 00:36:55,000 Speaker 1: they're just supposed to fade away. I mean, I can't like, 681 00:36:55,440 --> 00:36:57,880 Speaker 1: so tattoo artists are doing this on people. I mean, 682 00:36:57,920 --> 00:37:00,840 Speaker 1: I guess, oh, if they're getting paid either way, right, well. 683 00:37:00,640 --> 00:37:05,120 Speaker 2: I guess this company called Ephemeral Tattoos created this specialized 684 00:37:05,160 --> 00:37:08,399 Speaker 2: ink that is designed to fade over time. So it's 685 00:37:08,440 --> 00:37:12,600 Speaker 2: this like, I guess it's on some level considered this 686 00:37:12,760 --> 00:37:13,920 Speaker 2: temporary tattoo. 687 00:37:14,000 --> 00:37:16,360 Speaker 1: This is the dumbest shit I ever heard in my life. 688 00:37:16,400 --> 00:37:19,080 Speaker 2: But I'm thinking, like, why would you want to sit 689 00:37:19,160 --> 00:37:21,360 Speaker 2: through the pain of getting a tattoo if it wasn't 690 00:37:21,360 --> 00:37:24,680 Speaker 2: gonna be there forever it has to be causing scar tissues? 691 00:37:24,800 --> 00:37:27,520 Speaker 2: Or are people getting it thinking like, oh, maybe I'll 692 00:37:27,600 --> 00:37:29,440 Speaker 2: like it and it'll go away and I'll just get 693 00:37:29,480 --> 00:37:32,040 Speaker 2: another one right on top of that same exact area. 694 00:37:32,200 --> 00:37:35,399 Speaker 1: I guess in their testing and in their theory, they 695 00:37:35,560 --> 00:37:39,080 Speaker 1: think that if you if the tattoo artist delivers it 696 00:37:39,160 --> 00:37:42,880 Speaker 1: in the exact sweet spot of the dermist, so not 697 00:37:42,960 --> 00:37:45,920 Speaker 1: that epidermist is the top layer and then the dermist 698 00:37:45,960 --> 00:37:49,399 Speaker 1: is below that and the subcutaneous is below that. If 699 00:37:49,440 --> 00:37:53,759 Speaker 1: the tattoo artist puts it in the sweet spot, that 700 00:37:53,760 --> 00:37:57,120 Speaker 1: that's how it should last the amount of time, they say, 701 00:37:57,160 --> 00:38:00,279 Speaker 1: and it should go away. I like, it's it's just 702 00:38:00,320 --> 00:38:03,080 Speaker 1: so against This is why, like I wish I could 703 00:38:03,160 --> 00:38:05,600 Speaker 1: just take off all my tattoos and not be associated 704 00:38:05,640 --> 00:38:07,759 Speaker 1: with the culture anymore. I just like I hate it 705 00:38:07,880 --> 00:38:10,960 Speaker 1: so bad. It's just so different from what it was 706 00:38:11,000 --> 00:38:13,799 Speaker 1: when I started back in the nineties that like, I 707 00:38:13,880 --> 00:38:16,160 Speaker 1: want to be as far away from it as possible 708 00:38:16,239 --> 00:38:19,960 Speaker 1: because it because this dumb. This is just so dumb. 709 00:38:20,320 --> 00:38:23,080 Speaker 1: And I was telling you this in the car yesterday too, 710 00:38:23,200 --> 00:38:25,080 Speaker 1: Like I saw that there was some I don't know 711 00:38:25,120 --> 00:38:26,879 Speaker 1: if it was Shark Tank, but it was some kind 712 00:38:26,920 --> 00:38:30,640 Speaker 1: of company that's that's making a machine that you could 713 00:38:30,640 --> 00:38:33,040 Speaker 1: put pictures into and lay under it and have the 714 00:38:33,080 --> 00:38:34,960 Speaker 1: machine tattoo you and you don't have to have an 715 00:38:35,040 --> 00:38:37,160 Speaker 1: artist draw it and do it on you and stuff, 716 00:38:37,200 --> 00:38:39,840 Speaker 1: and I'm just kind of like, Okay, I'm over it. 717 00:38:40,200 --> 00:38:43,560 Speaker 1: I'm over the tattoo thing. Like, I'm just over it this, 718 00:38:43,640 --> 00:38:44,080 Speaker 1: I mean. 719 00:38:43,960 --> 00:38:46,359 Speaker 2: That machine is it absolutely idi like? 720 00:38:46,600 --> 00:38:48,880 Speaker 1: But this is idiotic too, Like just why wouldn't you 721 00:38:48,960 --> 00:38:51,279 Speaker 1: just get one of those those hen of tattoos are 722 00:38:51,280 --> 00:38:53,520 Speaker 1: a sticker and just put it on if you weren't 723 00:38:53,520 --> 00:38:56,480 Speaker 1: ready for the commitment? I don't know. And what did 724 00:38:56,520 --> 00:39:00,440 Speaker 1: you think, like when it says it's it's made to fade, Like, 725 00:39:00,520 --> 00:39:03,120 Speaker 1: what did you think the faded away tattoo was going 726 00:39:03,160 --> 00:39:03,480 Speaker 1: to look? 727 00:39:03,560 --> 00:39:06,640 Speaker 2: Like? I don't think anybody that they interviewed or that 728 00:39:06,719 --> 00:39:09,279 Speaker 2: the people they were sourcing for this article that had 729 00:39:09,320 --> 00:39:11,240 Speaker 2: this tattoo done, I don't think any of them realized 730 00:39:11,280 --> 00:39:14,280 Speaker 2: exactly what that was going to be, because it seems 731 00:39:14,320 --> 00:39:16,600 Speaker 2: like when the company first came out, they were saying 732 00:39:16,600 --> 00:39:19,040 Speaker 2: the tattoos were gonna last nine to fifteen months, and 733 00:39:19,080 --> 00:39:21,760 Speaker 2: then they sent out like an update email that actually 734 00:39:21,760 --> 00:39:24,400 Speaker 2: they might last up to three years. And these people 735 00:39:24,440 --> 00:39:27,160 Speaker 2: that were interviewed for this article were saying that it 736 00:39:27,200 --> 00:39:29,439 Speaker 2: did look like a nice, fresh tattoo for the first 737 00:39:29,480 --> 00:39:31,840 Speaker 2: couple of months, but then as it started to fade, 738 00:39:31,880 --> 00:39:35,560 Speaker 2: it looked like they had a like a botch procedure done, 739 00:39:35,760 --> 00:39:38,600 Speaker 2: so to speak, or that they had some really shitty 740 00:39:38,719 --> 00:39:42,000 Speaker 2: lasering done. And the craziest part of this is one 741 00:39:42,000 --> 00:39:44,680 Speaker 2: girl did go to get it lasered and the lasering 742 00:39:44,680 --> 00:39:46,520 Speaker 2: place said we can't do it because that inks not 743 00:39:46,680 --> 00:39:48,359 Speaker 2: FDA approved to get lasered off. 744 00:39:48,800 --> 00:39:51,680 Speaker 1: I love that She's actually, yeah, that girl that got 745 00:39:51,719 --> 00:39:56,920 Speaker 1: interviewed is actually like the semi permanent tattoo is actually 746 00:39:57,160 --> 00:39:59,439 Speaker 1: worse than if I just got a real tattoo because 747 00:39:59,440 --> 00:40:01,879 Speaker 1: I at least able to get it removed. Like, think 748 00:40:01,920 --> 00:40:06,160 Speaker 1: about that. It's just like, listen, it's just like a marriage, right, 749 00:40:06,239 --> 00:40:08,520 Speaker 1: Like you really shouldn't go into it thinking that you're 750 00:40:08,560 --> 00:40:11,480 Speaker 1: going to get out of it right away. Right, Shockingly 751 00:40:11,520 --> 00:40:14,440 Speaker 1: a lot of people do so, Like, well, I get 752 00:40:14,600 --> 00:40:16,880 Speaker 1: I guess that that's why this makes sense. Then I 753 00:40:16,880 --> 00:40:20,920 Speaker 1: don't know. I'm curious and this company, it's it's interesting 754 00:40:20,960 --> 00:40:22,560 Speaker 1: for me because I'm sure they've made a ton of 755 00:40:22,600 --> 00:40:25,880 Speaker 1: money off of this. But like, and the reason that 756 00:40:25,920 --> 00:40:28,800 Speaker 1: I brought up the application is key because if you 757 00:40:28,960 --> 00:40:32,080 Speaker 1: put it more superficial, it's going to it's not going 758 00:40:32,160 --> 00:40:34,080 Speaker 1: to last as long. And if you put it into 759 00:40:34,160 --> 00:40:39,319 Speaker 1: the the subdervis or the subcutaneous tissue, Like it's going 760 00:40:39,360 --> 00:40:43,520 Speaker 1: to last way longer than three years. So my whole 761 00:40:43,560 --> 00:40:46,040 Speaker 1: thing is like, you're just giving this product to people 762 00:40:46,120 --> 00:40:48,160 Speaker 1: to use and like put in your name on it, 763 00:40:48,239 --> 00:40:50,439 Speaker 1: and if it's not applied right, like people are gonna 764 00:40:50,440 --> 00:40:53,200 Speaker 1: have a problem. And I feel like that could almost 765 00:40:53,320 --> 00:40:57,080 Speaker 1: be I mean, it could be lawsuit worthy because according 766 00:40:57,120 --> 00:40:59,160 Speaker 1: to what I looked at at their website, they were 767 00:40:59,200 --> 00:41:02,000 Speaker 1: just kind of like, Yeah, this is definitely gonna be 768 00:41:02,080 --> 00:41:04,960 Speaker 1: gone in three years. It didn't say like results may 769 00:41:05,080 --> 00:41:07,719 Speaker 1: vary there. They're like pretty certain it's gonna be gone. 770 00:41:07,920 --> 00:41:11,040 Speaker 2: It seems like now they're saying that results may vary 771 00:41:11,719 --> 00:41:15,239 Speaker 2: depending on the person. But like you're saying, they have 772 00:41:15,280 --> 00:41:16,840 Speaker 2: to put it in a sweet spot, so you have 773 00:41:16,880 --> 00:41:20,239 Speaker 2: to use a special tattoo gun that doesn't go no, but. 774 00:41:20,280 --> 00:41:22,759 Speaker 1: Like every tattoo artist is supposed to put it in 775 00:41:22,800 --> 00:41:27,120 Speaker 1: a sweet spot. But like ultimately, like that's a microscopic level, 776 00:41:27,120 --> 00:41:30,080 Speaker 1: and if you're a good tattoo artist, you know what 777 00:41:30,120 --> 00:41:32,279 Speaker 1: it feels like to be in the right area. But 778 00:41:32,360 --> 00:41:35,520 Speaker 1: I've certainly gotten tattoos. If you get blowouts, it goes 779 00:41:35,560 --> 00:41:38,759 Speaker 1: too deep, like it doesn't go deep enough. How many 780 00:41:38,760 --> 00:41:40,440 Speaker 1: times do you get tattooed and you just like have 781 00:41:40,520 --> 00:41:42,160 Speaker 1: to go back and get it touched up like some 782 00:41:42,520 --> 00:41:44,960 Speaker 1: And this is like normal stuff when you get tattooed 783 00:41:45,400 --> 00:41:47,759 Speaker 1: all the time by different artists and everything like that, 784 00:41:47,880 --> 00:41:53,120 Speaker 1: but it's very hard, like tattooing my skin versus tattooing 785 00:41:53,360 --> 00:41:57,200 Speaker 1: like a man with thick and like an older thick man, 786 00:41:57,360 --> 00:41:59,400 Speaker 1: or like pop Pop got his first tattoo and he 787 00:41:59,520 --> 00:42:02,000 Speaker 1: was like seven. Like there's just such a variety of 788 00:42:02,000 --> 00:42:06,279 Speaker 1: what's happening that like sometimes it's not always going to 789 00:42:06,280 --> 00:42:08,759 Speaker 1: be in the perfect sweet spot and that's probably what's 790 00:42:08,760 --> 00:42:11,719 Speaker 1: happening here. So now all of these people have these 791 00:42:11,800 --> 00:42:16,000 Speaker 1: like like poop blobs all over their skin, like just 792 00:42:16,080 --> 00:42:19,919 Speaker 1: like they look like they have like an actual skin 793 00:42:20,000 --> 00:42:22,680 Speaker 1: lesion or something, or just like a terrible tattoo. It's 794 00:42:22,719 --> 00:42:26,640 Speaker 1: just but like at the same time, before you do 795 00:42:26,719 --> 00:42:29,440 Speaker 1: something like that, you didn't think, like, hey, can we 796 00:42:29,520 --> 00:42:33,239 Speaker 1: see after pictures of what this looks like? Like I 797 00:42:33,239 --> 00:42:34,680 Speaker 1: don't know, I don't. 798 00:42:34,600 --> 00:42:37,160 Speaker 2: I mean, I would just never even consider getting something 799 00:42:37,239 --> 00:42:39,719 Speaker 2: like this done, So I can't put myself in I 800 00:42:39,719 --> 00:42:40,120 Speaker 2: don't know. 801 00:42:40,080 --> 00:42:42,560 Speaker 1: Why I'm like so shocked, like reading it today and 802 00:42:42,640 --> 00:42:44,440 Speaker 1: you I just was like, and you go to a 803 00:42:44,480 --> 00:42:46,840 Speaker 1: real tattoo artist and you pay the same amount. Like 804 00:42:46,880 --> 00:42:49,640 Speaker 1: it's just that I just don't even understand it. It's 805 00:42:49,680 --> 00:42:52,279 Speaker 1: just weird. Yeah, it doesn't make any sense at all. 806 00:42:53,200 --> 00:42:58,080 Speaker 1: Okay this this also doesn't make sense. Thai Thai restaurant 807 00:42:58,080 --> 00:43:01,240 Speaker 1: that's offering discounts for skinny people. Yeah, there's a restaurant 808 00:43:01,239 --> 00:43:04,160 Speaker 1: in Thailand that has this system of metal bars. It 809 00:43:04,280 --> 00:43:07,080 Speaker 1: kind of looks like a fence, but all the bars 810 00:43:07,120 --> 00:43:10,440 Speaker 1: are different withs, and depending on which with you fit 811 00:43:10,520 --> 00:43:13,040 Speaker 1: through is how much of a discount you get. So 812 00:43:13,080 --> 00:43:15,759 Speaker 1: if you get this, get through the thinnest one, which 813 00:43:15,760 --> 00:43:17,560 Speaker 1: I don't even think I could fit my head through, 814 00:43:17,960 --> 00:43:20,759 Speaker 1: you get twenty percent off, and then there's like a 815 00:43:20,800 --> 00:43:23,480 Speaker 1: fifteen percent off, ten percent off, five percent off, and 816 00:43:23,520 --> 00:43:26,319 Speaker 1: then there's you know, you just don't get anything for 817 00:43:26,360 --> 00:43:28,279 Speaker 1: free because I guess they deemed that you're too fat. 818 00:43:28,440 --> 00:43:30,920 Speaker 1: So yeah, there's there's what the widest set of bars 819 00:43:31,080 --> 00:43:34,319 Speaker 1: is like full price. Sorry. Yeah, So I mean like 820 00:43:34,520 --> 00:43:36,719 Speaker 1: I I was looking at that and I'm thinking, like 821 00:43:37,520 --> 00:43:41,120 Speaker 1: this is so all the people are saying it's discriminatory, 822 00:43:41,120 --> 00:43:42,959 Speaker 1: and it's just like, yeah, they don't they don't care, 823 00:43:43,400 --> 00:43:46,920 Speaker 1: like obviously, and they're doing it because like we're like 824 00:43:47,040 --> 00:43:49,959 Speaker 1: everybody's talking about this Thai restaurant that wouldn't got talked 825 00:43:49,960 --> 00:43:52,399 Speaker 1: about before, right, So it's just like a marketing thing. 826 00:43:53,680 --> 00:43:58,080 Speaker 1: But yeah, I can't even imagine really many women that 827 00:43:58,080 --> 00:44:01,360 Speaker 1: would even fit through the first one because just the boobs, 828 00:44:01,719 --> 00:44:04,200 Speaker 1: it's so skinny. Like even if you could fit your head, 829 00:44:04,200 --> 00:44:07,439 Speaker 1: because your head looks like it would just fit through, right, 830 00:44:07,480 --> 00:44:10,600 Speaker 1: So if you turn my head, I could fit through. Well, 831 00:44:10,640 --> 00:44:13,120 Speaker 1: you have like an extra big head, but like for 832 00:44:13,239 --> 00:44:16,960 Speaker 1: regular people head size, it would fit through. Yeah, I 833 00:44:17,000 --> 00:44:20,600 Speaker 1: don't know. Probably you would probably only get fifteen percent off. 834 00:44:21,040 --> 00:44:22,000 Speaker 1: I don't even think my. 835 00:44:21,960 --> 00:44:24,080 Speaker 2: Head would fit through the fifteen percent off. I'm going 836 00:44:24,080 --> 00:44:27,319 Speaker 2: with the ten to five. But yeah, I mean, they're 837 00:44:27,360 --> 00:44:30,399 Speaker 2: facing a lot of backlash online, but at the same time, 838 00:44:30,440 --> 00:44:32,840 Speaker 2: they have a really high rating on trip Advisor, so 839 00:44:32,960 --> 00:44:36,440 Speaker 2: people must think the food's pretty good. I'm actually making 840 00:44:36,440 --> 00:44:39,400 Speaker 2: a delicious tie dinner. I'm gonna make some tompkaw soup. 841 00:44:40,360 --> 00:44:42,879 Speaker 2: It's some nice fresh to make that. Yet I'm gonna 842 00:44:42,920 --> 00:44:43,520 Speaker 2: make it tonight. 843 00:44:43,760 --> 00:44:46,960 Speaker 1: You never made it before. No, I'm curious what it 844 00:44:47,040 --> 00:44:50,160 Speaker 1: tastes like. Well, have you ever had it before? Yeah, 845 00:44:50,160 --> 00:44:52,200 Speaker 1: I've had it before at a restaurant, but I've never 846 00:44:52,200 --> 00:44:52,960 Speaker 1: made it before. 847 00:44:53,239 --> 00:44:57,040 Speaker 2: So I'm gonna make a vegetarian version for myself because 848 00:44:57,120 --> 00:44:59,480 Speaker 2: I don't really like putting chicken in soup, but I'll 849 00:44:59,480 --> 00:45:02,879 Speaker 2: put shrimp and Ricky's. But yeah, it seems pretty good, 850 00:45:04,040 --> 00:45:04,439 Speaker 2: all right. 851 00:45:05,560 --> 00:45:08,719 Speaker 1: So again, I have a personal autopsy story with a 852 00:45:08,760 --> 00:45:12,200 Speaker 1: similar situation with this next case. Yeah, so this mom 853 00:45:12,239 --> 00:45:14,960 Speaker 1: had been on this weight lost journey, and I guess 854 00:45:15,000 --> 00:45:17,120 Speaker 1: part of you know, fluctuating with weight is that your 855 00:45:17,160 --> 00:45:19,960 Speaker 1: hair could fall out. So she started taking these over 856 00:45:20,000 --> 00:45:22,160 Speaker 1: the counter supplements to help with her hair, her skin, 857 00:45:22,280 --> 00:45:24,520 Speaker 1: and her nails, and then she ended up going into 858 00:45:24,680 --> 00:45:28,879 Speaker 1: organ failure. So I had an autopsy years ago of 859 00:45:28,960 --> 00:45:31,840 Speaker 1: a person that was in a similar situation. She just 860 00:45:31,880 --> 00:45:34,240 Speaker 1: went to the hospital, was in full on liver failure, 861 00:45:34,800 --> 00:45:37,360 Speaker 1: died before they could even figure out what was going on. 862 00:45:37,480 --> 00:45:40,600 Speaker 1: We did the autopsy. Her liver was just look terrible, 863 00:45:40,680 --> 00:45:45,320 Speaker 1: like it's just so jammed up, and you know, it 864 00:45:45,680 --> 00:45:48,360 Speaker 1: looked so bad. It's probably one of the worst livers 865 00:45:48,400 --> 00:45:51,360 Speaker 1: I've ever seen. Honestly, and and and you know, you 866 00:45:51,440 --> 00:45:53,520 Speaker 1: show everybody in the lab and we all look at 867 00:45:54,120 --> 00:45:57,320 Speaker 1: it and say, like, Okay, something like really gnarly happened 868 00:45:57,360 --> 00:45:59,200 Speaker 1: to this lady, because like, what the hell happened to 869 00:45:59,239 --> 00:46:01,160 Speaker 1: her liver, because you don't see a liver that looks 870 00:46:01,200 --> 00:46:05,480 Speaker 1: like that every day, right, And sure enough, like when 871 00:46:05,480 --> 00:46:08,560 Speaker 1: we were investigating it and figuring out what caused her, 872 00:46:08,680 --> 00:46:11,000 Speaker 1: she had so she was having a cute liver failure 873 00:46:11,000 --> 00:46:14,560 Speaker 1: and it was toxicity from vitamins. And then we found 874 00:46:14,560 --> 00:46:19,799 Speaker 1: out that she was taking this salt palmetto extract that. 875 00:46:19,960 --> 00:46:23,120 Speaker 1: Normally that would be used for like male pattern baldness, 876 00:46:23,120 --> 00:46:25,920 Speaker 1: but she was having hair loss as well, and she 877 00:46:26,040 --> 00:46:29,200 Speaker 1: was taking it for that. And I don't know like 878 00:46:29,360 --> 00:46:32,400 Speaker 1: what was in it besides that, but I just know 879 00:46:32,520 --> 00:46:35,759 Speaker 1: that she had such high levels of that that that 880 00:46:35,880 --> 00:46:38,040 Speaker 1: is what caused her to have liver toxicity and it 881 00:46:38,120 --> 00:46:40,760 Speaker 1: killed her. And she was young. It was a crazy case. 882 00:46:41,160 --> 00:46:43,200 Speaker 1: And so when I read about this story in the 883 00:46:43,239 --> 00:46:46,600 Speaker 1: news this week, this this mother kind of was going 884 00:46:46,640 --> 00:46:48,760 Speaker 1: through the same thing. She's on a weight loss journey 885 00:46:48,760 --> 00:46:50,680 Speaker 1: and she lost a bunch of hair. She's probably on 886 00:46:50,840 --> 00:46:54,560 Speaker 1: ozembic because your hair falls out sometimes with that because 887 00:46:54,600 --> 00:46:59,080 Speaker 1: you're like lacking nutrients, protein and stuff like that or whatever, 888 00:46:59,320 --> 00:47:02,040 Speaker 1: Like your hair just falls out anyway because you're starting 889 00:47:02,040 --> 00:47:04,359 Speaker 1: to go through perry menopause and that's just a thing. 890 00:47:04,920 --> 00:47:08,360 Speaker 1: So she started just taking a lot of supplements to 891 00:47:08,600 --> 00:47:10,920 Speaker 1: supplement for the nutrient and she was losing and then 892 00:47:11,040 --> 00:47:13,680 Speaker 1: tip for her hair loss and hair and nail one, 893 00:47:14,280 --> 00:47:17,920 Speaker 1: and she started, like right after she started taking this 894 00:47:18,600 --> 00:47:21,520 Speaker 1: one for her hair and nails, she started noticing that 895 00:47:21,600 --> 00:47:24,680 Speaker 1: her eyes were yellow, like she was turning jaundice. She 896 00:47:24,760 --> 00:47:26,920 Speaker 1: went to the hospital. They first they thought she had 897 00:47:26,920 --> 00:47:29,680 Speaker 1: hepatitis or something and worked her up for that, and 898 00:47:29,719 --> 00:47:32,600 Speaker 1: then her doctor was like, have you started taking any 899 00:47:32,600 --> 00:47:35,000 Speaker 1: new medication And she was like no. And they were like, 900 00:47:35,120 --> 00:47:37,880 Speaker 1: did you start taking any new vitamins or supplements and 901 00:47:37,920 --> 00:47:40,160 Speaker 1: she was like yeah, and he's like, that's it. That's 902 00:47:40,200 --> 00:47:43,000 Speaker 1: what it is, nuts, right, Well. 903 00:47:42,840 --> 00:47:46,279 Speaker 2: I think a lot of people think, because supplements are 904 00:47:46,320 --> 00:47:50,440 Speaker 2: considered a more holistic approach, that there's nothing dangerous in them, 905 00:47:50,560 --> 00:47:53,239 Speaker 2: and they're often taking them because they could just buy 906 00:47:53,280 --> 00:47:57,480 Speaker 2: them at the store without consulting a doctor. And it's 907 00:47:57,520 --> 00:47:59,520 Speaker 2: just really interesting because I don't think a lot of 908 00:47:59,560 --> 00:48:03,120 Speaker 2: people that I don't know if all, but most supplements 909 00:48:03,160 --> 00:48:07,560 Speaker 2: are not FDA approve, so it's really concerning how people 910 00:48:07,600 --> 00:48:10,440 Speaker 2: just kind of pop them without a second thought just 911 00:48:10,480 --> 00:48:11,760 Speaker 2: because they think they're healthier. 912 00:48:12,239 --> 00:48:15,279 Speaker 1: Yeah, and I think because we were talking, i think 913 00:48:15,440 --> 00:48:18,719 Speaker 1: last week or two weeks ago about the ones that 914 00:48:18,760 --> 00:48:21,319 Speaker 1: are getting sold on Amazon and stuff which people are 915 00:48:21,360 --> 00:48:25,120 Speaker 1: having issues with because I mean, if you're getting it 916 00:48:25,160 --> 00:48:28,920 Speaker 1: from like a brand named place, you're probably more likely 917 00:48:29,040 --> 00:48:31,759 Speaker 1: to not have as many problems with it because it's 918 00:48:31,800 --> 00:48:34,120 Speaker 1: but not really that's even a lie, honestly, Like they 919 00:48:34,120 --> 00:48:36,120 Speaker 1: don't it's not FDA regulated, Like you don't know what 920 00:48:36,160 --> 00:48:39,960 Speaker 1: the hell is in this stuff, which is a problem, 921 00:48:40,400 --> 00:48:43,880 Speaker 1: and I think most people don't really have an issue 922 00:48:43,880 --> 00:48:47,239 Speaker 1: with it, but you could also take too much of it, 923 00:48:47,280 --> 00:48:50,400 Speaker 1: and it's just it's damaging. And there are other cases. 924 00:48:50,440 --> 00:48:52,399 Speaker 1: I'm going to try to look up some cases today 925 00:48:52,440 --> 00:48:56,120 Speaker 1: if there was any other autopsy reports, because we should 926 00:48:56,120 --> 00:48:58,319 Speaker 1: have wrote up that one for sure, because that was 927 00:48:58,360 --> 00:49:02,000 Speaker 1: a crazy one. But luckily they're able to help her out. 928 00:49:02,280 --> 00:49:06,560 Speaker 1: They also say sometimes that certain supplements could like start 929 00:49:06,600 --> 00:49:11,640 Speaker 1: exacerbating issues that were already there. So if she was 930 00:49:11,920 --> 00:49:14,480 Speaker 1: overweight for a large portion of her life. She might 931 00:49:14,480 --> 00:49:17,480 Speaker 1: have had some degree of like fatty liver or something 932 00:49:17,560 --> 00:49:19,960 Speaker 1: going on, and it could have just like aggravated that 933 00:49:20,000 --> 00:49:22,279 Speaker 1: condition that was going on a little bit more, or 934 00:49:23,760 --> 00:49:25,880 Speaker 1: or it just was like straight up toxic to her. 935 00:49:25,920 --> 00:49:28,799 Speaker 1: But she had said that it was a brand name, 936 00:49:29,280 --> 00:49:32,160 Speaker 1: common supplement that people use for hair and Naw, they 937 00:49:32,200 --> 00:49:34,240 Speaker 1: didn't say in this article the exact one. 938 00:49:34,520 --> 00:49:39,719 Speaker 2: Well I think maybe they didn't because well, I don't know, Yeah, 939 00:49:39,760 --> 00:49:42,400 Speaker 2: I saw it on her TikTok what it was, so like, 940 00:49:43,000 --> 00:49:44,440 Speaker 2: I know it's what it was, Which. 941 00:49:44,600 --> 00:49:45,760 Speaker 1: Was that one in my cabinet? 942 00:49:45,760 --> 00:49:49,200 Speaker 2: By No, it was just a hair, skin and nail 943 00:49:49,200 --> 00:49:51,600 Speaker 2: supplement from CBS. This is, of course, but she is 944 00:49:51,640 --> 00:49:54,359 Speaker 2: claiming we're not saying this definitely does it. She had 945 00:49:54,400 --> 00:49:57,960 Speaker 2: a weird complication from Yeah, but exactly. It is important 946 00:49:58,040 --> 00:50:01,520 Speaker 2: to check with your medical provider before taking anything. 947 00:50:01,719 --> 00:50:04,080 Speaker 1: I think yeah, and a lot of times too, like 948 00:50:04,440 --> 00:50:07,279 Speaker 1: they could interact with drugs. So when you go to 949 00:50:07,320 --> 00:50:09,520 Speaker 1: the doctor and they ask you what medicine you're on, 950 00:50:09,600 --> 00:50:12,040 Speaker 1: you really should tell them all that kind of stuff. 951 00:50:12,080 --> 00:50:15,120 Speaker 1: I think it's it's kind of crazy now with all 952 00:50:15,160 --> 00:50:17,799 Speaker 1: the gummies and everything, people are just taking like a 953 00:50:17,800 --> 00:50:19,920 Speaker 1: lot of stuff I used to. I feel like I 954 00:50:20,000 --> 00:50:22,359 Speaker 1: used to take a lot of supplements, right, And then 955 00:50:22,400 --> 00:50:24,960 Speaker 1: I sat there one day and said, like, this is 956 00:50:25,000 --> 00:50:27,319 Speaker 1: like one hundred and fifty dollars a month of all 957 00:50:27,360 --> 00:50:29,799 Speaker 1: this thirty dollars here, thirty dollars. It really is, right, 958 00:50:30,480 --> 00:50:32,680 Speaker 1: and then I just stopped taking all of them one day, 959 00:50:32,719 --> 00:50:34,960 Speaker 1: all of them, and like, I'm the same as I was, 960 00:50:35,800 --> 00:50:38,279 Speaker 1: like I never like I really never had one that 961 00:50:38,320 --> 00:50:41,520 Speaker 1: I'm like, this is life changing, except the one I 962 00:50:41,600 --> 00:50:44,759 Speaker 1: take this one around this time of year, the the 963 00:50:44,880 --> 00:50:50,680 Speaker 1: vitamin D because it's especially in New Jersey it's been 964 00:50:50,800 --> 00:50:54,800 Speaker 1: like gray since December, and then all of a sudden, 965 00:50:54,800 --> 00:50:56,719 Speaker 1: the stunt starts coming out, and you know, I got 966 00:50:56,719 --> 00:51:01,200 Speaker 1: that weird skin thing happening when it's like April May June. 967 00:51:01,360 --> 00:51:04,280 Speaker 1: I just if I have like my first real sun exposure, 968 00:51:04,360 --> 00:51:07,040 Speaker 1: I get like that crazy rash and everything. So I 969 00:51:07,080 --> 00:51:10,560 Speaker 1: started taking two of those a day, like around April 970 00:51:10,680 --> 00:51:14,280 Speaker 1: until the midsummer, and I you know, it's a combination 971 00:51:14,400 --> 00:51:16,839 Speaker 1: of other things, medications I'm on and things like that, 972 00:51:16,920 --> 00:51:20,120 Speaker 1: but I haven't had that bad rash in a couple 973 00:51:20,120 --> 00:51:22,600 Speaker 1: of years, so I'm like, maybe it works. I don't know, 974 00:51:23,120 --> 00:51:25,799 Speaker 1: but but like other than that, like, have you ever 975 00:51:25,880 --> 00:51:28,120 Speaker 1: taken a supplement that you're just like, oh my god, 976 00:51:28,239 --> 00:51:29,440 Speaker 1: like this is mind blowing. 977 00:51:30,120 --> 00:51:34,719 Speaker 2: Well, I take this cortisol one that is for like, 978 00:51:34,800 --> 00:51:36,920 Speaker 2: I had really high cortisol and I started I was 979 00:51:36,960 --> 00:51:39,520 Speaker 2: recommended it by a doctor and I started taking it. 980 00:51:39,560 --> 00:51:43,280 Speaker 2: And I do feel like I haven't had such lingering 981 00:51:43,440 --> 00:51:46,480 Speaker 2: anxiety all the time, like I was having, like there 982 00:51:46,560 --> 00:51:49,440 Speaker 2: was a point it's a placebo you it could it 983 00:51:49,480 --> 00:51:50,640 Speaker 2: could be a place ebo. 984 00:51:51,040 --> 00:51:53,320 Speaker 1: You don't know that because you don't live in my body. 985 00:51:53,560 --> 00:51:57,080 Speaker 1: So then I'm the next closest thing I think. I 986 00:51:57,080 --> 00:52:00,360 Speaker 1: I think it's all like it's kind of like the 987 00:52:00,400 --> 00:52:02,400 Speaker 1: biggest scam ever. Whatever. 988 00:52:02,520 --> 00:52:05,480 Speaker 2: I was hearing a really good conversation on another podcast 989 00:52:05,480 --> 00:52:11,480 Speaker 2: this morning actually, where they were discussing how all these 990 00:52:11,800 --> 00:52:14,359 Speaker 2: all these holistic doctors will have you taking like four 991 00:52:14,440 --> 00:52:16,879 Speaker 2: hundred vitamins for mental health, Like in my case, I'm 992 00:52:16,920 --> 00:52:20,120 Speaker 2: taking this fun for anxiety, right, and that you don't 993 00:52:20,160 --> 00:52:22,239 Speaker 2: really feel better and you're taking all these things and 994 00:52:22,239 --> 00:52:24,680 Speaker 2: you're having to do stuff like do cold plunges and 995 00:52:24,719 --> 00:52:26,319 Speaker 2: go in asana and all this stuff so you don't 996 00:52:26,320 --> 00:52:29,279 Speaker 2: feel anxious all day but there's just like a pill 997 00:52:29,360 --> 00:52:32,000 Speaker 2: you could take every morning that makes you feel amazing 998 00:52:32,280 --> 00:52:33,960 Speaker 2: and you don't have to do all this stuff. And 999 00:52:34,040 --> 00:52:36,840 Speaker 2: I was cracking up because they were saying, like, everybody 1000 00:52:36,880 --> 00:52:41,399 Speaker 2: criticizes Big Pharma, but nobody's criticizing Big Supplement, Like they're 1001 00:52:41,480 --> 00:52:42,400 Speaker 2: kind of no, it's. 1002 00:52:42,239 --> 00:52:45,200 Speaker 1: True, it's true. It's it's like it's I'm telling you, like, 1003 00:52:45,239 --> 00:52:48,080 Speaker 1: it's a scam. It's a lot, a lot of it 1004 00:52:48,120 --> 00:52:51,440 Speaker 1: is a huge scam. And now especially their shit is 1005 00:52:51,520 --> 00:52:54,080 Speaker 1: like blowing up because of social media because you see 1006 00:52:54,120 --> 00:52:57,279 Speaker 1: videos all the time like you should really take magnesium, 1007 00:52:57,320 --> 00:52:58,320 Speaker 1: you should really take. 1008 00:52:58,120 --> 00:53:00,239 Speaker 2: This, you should really and then all these people are like, 1009 00:53:00,280 --> 00:53:02,680 Speaker 2: oh yeah, I should take that too, and all of 1010 00:53:02,719 --> 00:53:07,399 Speaker 2: a sudden, it's like they're like those supplement companies are 1011 00:53:07,480 --> 00:53:10,399 Speaker 2: like killing it right now, they're killing it. 1012 00:53:10,719 --> 00:53:10,919 Speaker 1: Yeah. 1013 00:53:10,960 --> 00:53:12,960 Speaker 2: I mean a couple of years ago, I had gotten 1014 00:53:13,000 --> 00:53:17,640 Speaker 2: these supplements that were designed specifically for painful periods, and 1015 00:53:17,719 --> 00:53:19,480 Speaker 2: like I took them for a year and let me 1016 00:53:19,520 --> 00:53:22,239 Speaker 2: tell you, it did not make one fucking difference at all. 1017 00:53:22,360 --> 00:53:24,080 Speaker 1: And they made how much and how much was it 1018 00:53:24,120 --> 00:53:27,799 Speaker 1: a month? A lot? Like thirty bucks a month. Yeah, 1019 00:53:27,880 --> 00:53:30,040 Speaker 1: that's what I'm saying like it adds up when you're 1020 00:53:30,080 --> 00:53:31,919 Speaker 1: taking a lot of them, Like you're just like, wait 1021 00:53:31,960 --> 00:53:33,640 Speaker 1: a second, this is like kind of a lot of 1022 00:53:33,640 --> 00:53:34,120 Speaker 1: money here. 1023 00:53:34,200 --> 00:53:38,920 Speaker 2: And I think some vitamins are really good, especially if 1024 00:53:38,960 --> 00:53:41,240 Speaker 2: you have like deficiencies and you just need a little 1025 00:53:41,239 --> 00:53:44,319 Speaker 2: boost of something. But like a lot of these ones 1026 00:53:44,360 --> 00:53:46,160 Speaker 2: you see ads for and stuff, it's like you just 1027 00:53:46,760 --> 00:53:50,320 Speaker 2: don't need it. It's okay, it's nuts. 1028 00:54:01,880 --> 00:54:06,120 Speaker 1: Okay. So this guy decided that, you know, his stomach 1029 00:54:06,160 --> 00:54:08,600 Speaker 1: curt and doctors weren't listening to him, so he decided 1030 00:54:08,600 --> 00:54:11,560 Speaker 1: to go on YouTube and do surgery on himself. 1031 00:54:12,200 --> 00:54:14,840 Speaker 2: I was just thinking about how ridiculous this is, because 1032 00:54:14,840 --> 00:54:17,560 Speaker 2: when we decided to sert the podcast, I was like, 1033 00:54:18,040 --> 00:54:21,080 Speaker 2: I'm gonna watch a couple YouTube videos to figure out 1034 00:54:21,120 --> 00:54:24,120 Speaker 2: how to make the podcast, not how to do surgery 1035 00:54:24,239 --> 00:54:27,280 Speaker 2: on myself. Oh, it's so ridiculous. 1036 00:54:27,320 --> 00:54:33,760 Speaker 1: YouTube university is like the best for so many things. Yeah, specifically, 1037 00:54:33,880 --> 00:54:37,759 Speaker 1: remember when like some person parked their hooptie outside of 1038 00:54:37,760 --> 00:54:40,440 Speaker 1: my house for weeks and weeks and we didn't know 1039 00:54:40,480 --> 00:54:42,480 Speaker 1: who it was and it just was sitting there, and 1040 00:54:42,520 --> 00:54:44,760 Speaker 1: then Gabe learned how to move the car up the street. 1041 00:54:45,840 --> 00:54:49,000 Speaker 1: That was amazing. It was just like, oh, like how 1042 00:54:49,040 --> 00:54:50,919 Speaker 1: to just like move a car that's parked in front 1043 00:54:50,960 --> 00:54:53,319 Speaker 1: of your house. It was so amazing. It's like the 1044 00:54:53,360 --> 00:55:00,160 Speaker 1: best YouTube university advertisement ever. But there's just there are 1045 00:55:00,239 --> 00:55:02,160 Speaker 1: so many things that you go on there and like 1046 00:55:03,040 --> 00:55:06,360 Speaker 1: like I had I usually get these young coconuts and 1047 00:55:06,400 --> 00:55:09,279 Speaker 1: they brought me like the hairy one by accident when 1048 00:55:09,320 --> 00:55:12,239 Speaker 1: I ordered my groceries, and I was like, oh, I 1049 00:55:12,239 --> 00:55:14,359 Speaker 1: don't really know how to open this, but I want 1050 00:55:14,400 --> 00:55:17,399 Speaker 1: to eat it because I've like I just never had one. 1051 00:55:17,719 --> 00:55:20,920 Speaker 1: I eat them often, if especially like in New York 1052 00:55:20,960 --> 00:55:22,399 Speaker 1: when they cooked them on the side of the street, 1053 00:55:22,400 --> 00:55:25,719 Speaker 1: which is the best thing ever. But I you know, 1054 00:55:25,760 --> 00:55:27,600 Speaker 1: you just like look a video and it shows you 1055 00:55:27,640 --> 00:55:29,720 Speaker 1: how to do it real fast, and you're like, oh cool, 1056 00:55:29,840 --> 00:55:32,480 Speaker 1: Like just like little things like that all the time. 1057 00:55:32,560 --> 00:55:36,080 Speaker 1: So the podcast things like normal learn how to do 1058 00:55:36,120 --> 00:55:36,560 Speaker 1: this and. 1059 00:55:36,480 --> 00:55:41,120 Speaker 2: That, embroidery to embroidery, but like, I don't know, doing 1060 00:55:41,200 --> 00:55:42,320 Speaker 2: surgery on yourself. 1061 00:55:42,960 --> 00:55:45,760 Speaker 1: And I guess, I mean he wasn't looking at self 1062 00:55:45,800 --> 00:55:48,640 Speaker 1: surgery videos. I'm supposing I think he was just looking 1063 00:55:48,680 --> 00:55:52,279 Speaker 1: at other ones. But listen, like honestly, like it kind 1064 00:55:52,360 --> 00:55:55,799 Speaker 1: of worked. He kind of did it. I mean, like, 1065 00:55:56,320 --> 00:56:00,759 Speaker 1: I mean, listen, he's alive, so well I'm saying, like 1066 00:56:01,080 --> 00:56:04,600 Speaker 1: he did it, and so let's say what he did. Okay, 1067 00:56:04,640 --> 00:56:08,040 Speaker 1: So he's thirty two and he has a history of 1068 00:56:08,160 --> 00:56:13,680 Speaker 1: he had appendectomy. He had his appendix removed fifteen years ago, 1069 00:56:13,719 --> 00:56:15,760 Speaker 1: so when he was a kid he had that removed 1070 00:56:16,000 --> 00:56:21,520 Speaker 1: or teenager, and he had stomach He had stomach pain 1071 00:56:21,560 --> 00:56:24,040 Speaker 1: that he kept going to the doctor for and they 1072 00:56:24,280 --> 00:56:26,719 Speaker 1: just were kept blowing them off and saying whatever, and 1073 00:56:26,760 --> 00:56:29,239 Speaker 1: he was saying it was driving them nuts. So he 1074 00:56:29,360 --> 00:56:32,759 Speaker 1: decided he essentially was going to do an exploratory laparotomy 1075 00:56:32,800 --> 00:56:36,799 Speaker 1: on himself, which is he cut an incision in his abdomen, 1076 00:56:36,920 --> 00:56:40,759 Speaker 1: on his abdominal wall to like look and feel inside 1077 00:56:40,800 --> 00:56:42,719 Speaker 1: to see if he could see what was wrong to 1078 00:56:42,800 --> 00:56:48,719 Speaker 1: remove it. Now, he probably he could have been having 1079 00:56:48,760 --> 00:56:50,719 Speaker 1: pain because he could have had like a lot of 1080 00:56:50,760 --> 00:56:54,000 Speaker 1: adhesions from the previous surgery, which is like scar tissue 1081 00:56:54,440 --> 00:56:58,600 Speaker 1: because sometimes when you get your appendix removed, especially I 1082 00:56:58,640 --> 00:57:01,279 Speaker 1: don't know if he had an open appendectomy or a 1083 00:57:01,360 --> 00:57:04,600 Speaker 1: laparoscopic one, but like it causes a lot of scars 1084 00:57:04,600 --> 00:57:07,239 Speaker 1: and it could cause the part of the bow to 1085 00:57:07,360 --> 00:57:09,880 Speaker 1: like stick to the abdominal wall and it could just 1086 00:57:09,960 --> 00:57:12,919 Speaker 1: cause pain. So that's more than likely what he had 1087 00:57:12,960 --> 00:57:16,480 Speaker 1: going on. But he somehow like went to some market. 1088 00:57:16,520 --> 00:57:20,960 Speaker 1: This was in another India or yeah, in India. In India, 1089 00:57:21,040 --> 00:57:23,000 Speaker 1: he went to like a market and he got some 1090 00:57:23,120 --> 00:57:25,040 Speaker 1: numbing stuff and he got a suit your kid, and 1091 00:57:25,040 --> 00:57:27,920 Speaker 1: he got all this stuff. So he goes back to 1092 00:57:28,000 --> 00:57:30,760 Speaker 1: his house and he starts doing it and like he 1093 00:57:30,800 --> 00:57:33,840 Speaker 1: has no pain. But then the numbing stuff started wearing off, 1094 00:57:33,880 --> 00:57:36,840 Speaker 1: and that's when he started like screaming in his room, 1095 00:57:36,880 --> 00:57:39,800 Speaker 1: and his family realized that he was doing something weird 1096 00:57:40,000 --> 00:57:42,120 Speaker 1: in his room. I'm not sure that you would ever, 1097 00:57:42,600 --> 00:57:44,240 Speaker 1: you know, you hear your kids from time to time 1098 00:57:44,320 --> 00:57:46,520 Speaker 1: scream from upstairs or something and running up there. You 1099 00:57:46,520 --> 00:57:49,400 Speaker 1: wouldn't expect somebody to be doing surgery on themself. But 1100 00:57:49,880 --> 00:57:53,120 Speaker 1: apparently he said he went inside, he didn't see anything. 1101 00:57:53,160 --> 00:57:57,200 Speaker 1: He felt something abnormal on his stomach, he said, and 1102 00:57:57,360 --> 00:57:59,440 Speaker 1: he tried to remove it and he couldn't, so he 1103 00:57:59,520 --> 00:58:03,000 Speaker 1: sewed him self back up with eleven sutures and then 1104 00:58:03,160 --> 00:58:06,120 Speaker 1: he started screaming in pain. Like I guess it all 1105 00:58:06,240 --> 00:58:10,080 Speaker 1: like ow, like the numbing's wearing off and this this 1106 00:58:10,160 --> 00:58:14,400 Speaker 1: has come this is all coming together now. So obviously 1107 00:58:14,480 --> 00:58:17,560 Speaker 1: they immediately take him to the hospital. And the biggest 1108 00:58:17,560 --> 00:58:20,080 Speaker 1: thing that you're scared of in that case is infection, 1109 00:58:20,240 --> 00:58:22,680 Speaker 1: because god knows what was all over his hands, if 1110 00:58:22,680 --> 00:58:25,640 Speaker 1: he was even wearing gloves, but they definitely probably weren't sterile, 1111 00:58:25,680 --> 00:58:30,520 Speaker 1: and it's just really bad to introduce bacteria into there. 1112 00:58:30,560 --> 00:58:33,720 Speaker 1: And who knows what he did, but I mean he 1113 00:58:34,200 --> 00:58:36,680 Speaker 1: went in and he sewed himself up like old school, 1114 00:58:36,720 --> 00:58:38,200 Speaker 1: like back in the day what they used to do. 1115 00:58:38,320 --> 00:58:42,439 Speaker 1: It was pretty amazing ridiculous. So you know that there 1116 00:58:42,520 --> 00:58:44,920 Speaker 1: was a guy, there's a doctor who like successfully gave 1117 00:58:45,000 --> 00:58:46,760 Speaker 1: himself surgery back in the sixties. 1118 00:58:46,880 --> 00:58:50,640 Speaker 2: Right, I've heard of this, but I just can't ever 1119 00:58:50,720 --> 00:58:52,040 Speaker 2: fathom doing something well. 1120 00:58:52,320 --> 00:58:55,800 Speaker 1: So he was so he was like in the Arctic 1121 00:58:55,920 --> 00:58:59,200 Speaker 1: or something on some kind of expedition and he he 1122 00:58:59,360 --> 00:59:02,640 Speaker 1: was a surgeon, and he was having appendicitis and he 1123 00:59:02,720 --> 00:59:05,560 Speaker 1: knew it and he was just like, if I don't 1124 00:59:05,600 --> 00:59:08,120 Speaker 1: remove my appendix right now, I'm going to die. He 1125 00:59:08,200 --> 00:59:10,000 Speaker 1: had no way to get to a hospital or a 1126 00:59:10,040 --> 00:59:13,640 Speaker 1: doctor or anything like that, and he did it. Like 1127 00:59:13,760 --> 00:59:18,800 Speaker 1: I can't even I can't even imagine like having that 1128 00:59:18,880 --> 00:59:21,440 Speaker 1: conversation with a friend you're with or whatever. I don't know, 1129 00:59:21,680 --> 00:59:25,320 Speaker 1: just like there's cases of people doing it though it's 1130 00:59:25,360 --> 00:59:28,600 Speaker 1: it's pretty nuts, but it's cool, Like it's cool like 1131 00:59:29,040 --> 00:59:31,360 Speaker 1: that it can be done, but I wouldn't suggest doing 1132 00:59:31,360 --> 00:59:34,400 Speaker 1: it at home. And honestly, like in this case, like 1133 00:59:34,480 --> 00:59:36,840 Speaker 1: I know that the most frustrating thing ever is to 1134 00:59:36,880 --> 00:59:39,800 Speaker 1: not hear like have your doctor take you seriously, but 1135 00:59:39,960 --> 00:59:43,440 Speaker 1: like taking matters into your own hands is is you 1136 00:59:43,480 --> 00:59:47,480 Speaker 1: should kind of check someone's mental status right to do 1137 00:59:47,600 --> 00:59:48,320 Speaker 1: something like this. 1138 00:59:48,760 --> 00:59:52,840 Speaker 2: Definitely, this next story sounds like it's something that's gonna 1139 00:59:52,840 --> 00:59:53,560 Speaker 2: be on that show. 1140 00:59:53,600 --> 00:59:54,440 Speaker 1: It's Florida, man. 1141 00:59:54,560 --> 00:59:56,800 Speaker 2: Remember I wrote that article about that guy that got 1142 00:59:56,880 --> 00:59:59,720 Speaker 2: hired to cut off the guy's toes yet them. So 1143 01:00:00,000 --> 01:00:03,960 Speaker 2: this couple basically, you know, they're they're feeling it coming on. 1144 01:00:04,080 --> 01:00:06,360 Speaker 2: They're hot and bothered, and they just had to pull 1145 01:00:06,400 --> 01:00:09,439 Speaker 2: over in front of this cemetery that had locked gate. 1146 01:00:09,480 --> 01:00:11,800 Speaker 2: They hopped over the fence and then they started having 1147 01:00:11,840 --> 01:00:14,880 Speaker 2: sex on a grave of course, grave number forty three, 1148 01:00:14,960 --> 01:00:18,200 Speaker 2: Grave number forty three specifically, so this was a historic 1149 01:00:18,280 --> 01:00:22,440 Speaker 2: cemetery and I guess regular, I guess nobody was just 1150 01:00:22,480 --> 01:00:25,840 Speaker 2: allowed to go in there without permission. So this cop 1151 01:00:25,960 --> 01:00:28,640 Speaker 2: comes across the parked car and the windows are rolled 1152 01:00:28,640 --> 01:00:30,880 Speaker 2: down and he's like, okay, I don't see anybody. So 1153 01:00:30,920 --> 01:00:33,920 Speaker 2: he starts snooping around and finds them having sex, and 1154 01:00:33,960 --> 01:00:36,960 Speaker 2: then he also found some meth OxyS and Xanax. 1155 01:00:36,720 --> 01:00:39,720 Speaker 1: And their stars math involved in this story. Really, the 1156 01:00:39,720 --> 01:00:42,440 Speaker 1: best part of this story was that the author of 1157 01:00:42,480 --> 01:00:48,040 Speaker 1: this article wrote titled it bone Yard, and then and 1158 01:00:48,080 --> 01:00:51,000 Speaker 1: then they wrote they were they thought they were being 1159 01:00:51,120 --> 01:00:53,880 Speaker 1: dead sexy, Like, oh my god, it's so some of 1160 01:00:53,920 --> 01:00:56,320 Speaker 1: these articles are just written so funny. So I was like, 1161 01:00:56,360 --> 01:00:59,000 Speaker 1: I got a kick out of that bone Yard. Yeah. 1162 01:00:59,000 --> 01:01:01,480 Speaker 2: And this next one is local to us, which it's 1163 01:01:01,520 --> 01:01:02,560 Speaker 2: totally unbelievable. 1164 01:01:02,720 --> 01:01:06,560 Speaker 1: This one is really outrageous. The video is so outrageous. Yeah. 1165 01:01:06,600 --> 01:01:08,920 Speaker 2: So this family is burying their loved one at a 1166 01:01:08,960 --> 01:01:12,280 Speaker 2: local cemetery in North Philly, and as the pallbearers are 1167 01:01:12,280 --> 01:01:16,080 Speaker 2: bringing the casket to the burial site, the platform collapses. 1168 01:01:15,560 --> 01:01:17,960 Speaker 1: And they all fell in the hole with the casket. 1169 01:01:18,600 --> 01:01:21,600 Speaker 1: Oh my god, it's so it's so disturbing. Like you 1170 01:01:21,680 --> 01:01:24,400 Speaker 1: see all of these guys in they're really nice suits 1171 01:01:24,440 --> 01:01:28,000 Speaker 1: carrying this really nice casket and it falls, Like how 1172 01:01:28,080 --> 01:01:31,600 Speaker 1: traumatizing on so many levels, but they actually got hurt. 1173 01:01:32,240 --> 01:01:33,040 Speaker 1: I mean, well, how. 1174 01:01:33,320 --> 01:01:35,520 Speaker 2: How could you not get hurt? I mean, caskets are 1175 01:01:35,560 --> 01:01:37,600 Speaker 2: so heavy, that's why they have to have like six 1176 01:01:37,680 --> 01:01:39,000 Speaker 2: grown men carrying them. 1177 01:01:39,400 --> 01:01:42,160 Speaker 1: They're a casket could be like one to three hundred 1178 01:01:42,200 --> 01:01:45,040 Speaker 1: pounds without a body in it, and the body is 1179 01:01:45,160 --> 01:01:49,160 Speaker 1: literal dead weight, right, so they're all carrying it and 1180 01:01:50,080 --> 01:01:53,400 Speaker 1: I mean between that, so that probably right there is 1181 01:01:53,920 --> 01:01:56,880 Speaker 1: close to it could be four to five hundred pounds 1182 01:01:56,960 --> 01:01:59,640 Speaker 1: just the casket, and then each one of those dudes 1183 01:01:59,680 --> 01:02:02,600 Speaker 1: could be like, you know, one fifty to two hundred 1184 01:02:02,600 --> 01:02:05,760 Speaker 1: plus pounds. That so much weight, like they need to 1185 01:02:05,840 --> 01:02:08,680 Speaker 1: consider that there's going to be one thousand pounds standing 1186 01:02:08,720 --> 01:02:11,240 Speaker 1: on wherever they were standing, and it was like a 1187 01:02:11,280 --> 01:02:13,280 Speaker 1: wet piece of plywood or something. 1188 01:02:13,840 --> 01:02:16,800 Speaker 2: Yeah, so they all got injured, and one guy in particular, 1189 01:02:16,920 --> 01:02:19,360 Speaker 2: the casket basically fell right on top of him and 1190 01:02:19,400 --> 01:02:21,480 Speaker 2: then it pushed his head into the mud. So I'm 1191 01:02:21,480 --> 01:02:23,880 Speaker 2: sure there was like a second where he's getting crushed 1192 01:02:23,880 --> 01:02:26,560 Speaker 2: by the casket and then he's probably suffocating on top 1193 01:02:26,600 --> 01:02:32,200 Speaker 2: of it. It's absolutely like this is unforgivable and unacceptable 1194 01:02:32,240 --> 01:02:33,560 Speaker 2: to me that this happened. 1195 01:02:33,560 --> 01:02:37,720 Speaker 1: This is definitely like lawsuit worthy in my opinion, and 1196 01:02:37,880 --> 01:02:40,600 Speaker 1: not surprised that it happened in North Billy, Like, yeah, 1197 01:02:40,920 --> 01:02:43,720 Speaker 1: the corners that get cut at some of these funeral 1198 01:02:43,720 --> 01:02:47,040 Speaker 1: homes are just like, come on, dude. Yeah, And the. 1199 01:02:47,000 --> 01:02:49,440 Speaker 2: Family was saying that it was wobbly and the wood 1200 01:02:49,560 --> 01:02:51,680 Speaker 2: was wet and soaked so the ground if it had 1201 01:02:51,680 --> 01:02:54,480 Speaker 2: been raining, I'm sure the ground was soggy too and slippery, 1202 01:02:54,880 --> 01:02:58,000 Speaker 2: so it clearly just wasn't set up correctly. And how 1203 01:02:58,000 --> 01:03:00,440 Speaker 2: many funerals happen a day, we don't hear about this 1204 01:03:00,560 --> 01:03:01,360 Speaker 2: ever happening. 1205 01:03:01,600 --> 01:03:05,280 Speaker 1: No, it's it really, it's it's upsetting because the guys 1206 01:03:05,280 --> 01:03:08,600 Speaker 1: are they look nice, they're in their suits like they're mourning. Whoever. 1207 01:03:08,680 --> 01:03:10,720 Speaker 1: I mean, if you're carrying the casket, you're like one 1208 01:03:10,760 --> 01:03:14,000 Speaker 1: of the inner circle, right yeah, I mean just think 1209 01:03:14,040 --> 01:03:17,440 Speaker 1: about that. The family's all watching. It's just it's just 1210 01:03:17,520 --> 01:03:21,120 Speaker 1: like ridiculous. You know, when someone dies, and and funeral 1211 01:03:21,200 --> 01:03:24,440 Speaker 1: homes have huge responsibilities because when someone dies, the last 1212 01:03:24,440 --> 01:03:26,840 Speaker 1: thing you want to do is inflict even more pain 1213 01:03:26,920 --> 01:03:28,480 Speaker 1: on them than they're already going through. 1214 01:03:29,200 --> 01:03:31,240 Speaker 2: So is that who sets it up. Is it the 1215 01:03:31,240 --> 01:03:33,760 Speaker 2: funeral home or the cemetery that sets up. 1216 01:03:33,880 --> 01:03:37,360 Speaker 1: I don't, well, what for the actual I don't really 1217 01:03:37,400 --> 01:03:39,400 Speaker 1: know act at the gravesite. 1218 01:03:39,440 --> 01:03:42,240 Speaker 2: I guess I'm just curious, like who actually sets up 1219 01:03:42,880 --> 01:03:46,600 Speaker 2: the system which lowers the casket and the platform and everything. 1220 01:03:46,720 --> 01:03:50,240 Speaker 2: I would think that that's more of the cemetery thing, 1221 01:03:50,480 --> 01:03:54,320 Speaker 2: to be honest, But I don't know what association the 1222 01:03:54,320 --> 01:03:55,200 Speaker 2: funeral home. 1223 01:03:55,040 --> 01:03:58,720 Speaker 1: Has with it too. But I really don't know, Like 1224 01:03:58,800 --> 01:04:01,280 Speaker 1: that's not I like, once the funeral hum picks a 1225 01:04:01,280 --> 01:04:04,680 Speaker 1: body up from the hospital, I have no idea really 1226 01:04:04,760 --> 01:04:07,840 Speaker 1: what happens after that, like just from talking to friends 1227 01:04:07,880 --> 01:04:11,240 Speaker 1: and things like that, but like that's not my thing. 1228 01:04:12,040 --> 01:04:13,640 Speaker 1: I don't know if you saw this either, but on 1229 01:04:13,720 --> 01:04:17,360 Speaker 1: the news video of this at the very end, they 1230 01:04:17,360 --> 01:04:20,480 Speaker 1: were saying that the damaged wood that broke through was 1231 01:04:20,800 --> 01:04:23,520 Speaker 1: just like thrown off to the side after they completed 1232 01:04:23,560 --> 01:04:25,840 Speaker 1: the burial. So I'm like, okay, so they had to 1233 01:04:25,880 --> 01:04:28,120 Speaker 1: go through this horrific thing and then you're just gonna 1234 01:04:28,200 --> 01:04:31,919 Speaker 1: leave it a mess at the gravesite. It's just so disrespectful. Yeah, 1235 01:04:31,960 --> 01:04:32,560 Speaker 1: it really is. 1236 01:04:32,960 --> 01:04:34,840 Speaker 2: All right, Let's move on to questions of the day. 1237 01:04:34,880 --> 01:04:37,400 Speaker 2: Every Friday at the at mother nos Death Instagram account, 1238 01:04:37,440 --> 01:04:39,200 Speaker 2: You guys could head over to our story and ask 1239 01:04:39,280 --> 01:04:42,680 Speaker 2: us whatever you want. First, what are the differences between 1240 01:04:42,680 --> 01:04:44,520 Speaker 2: a PA and an autopsy tech. 1241 01:04:46,040 --> 01:04:49,880 Speaker 1: Well, a PA is a pathology a pathologist assistance. That's 1242 01:04:49,880 --> 01:04:53,880 Speaker 1: what I am, and so we have to have a 1243 01:04:53,920 --> 01:04:57,840 Speaker 1: bachelor's degree. At a master's degree, the master's program specializes 1244 01:04:57,960 --> 01:05:01,960 Speaker 1: in pathology, so it's similar like you guys probably go 1245 01:05:02,040 --> 01:05:04,560 Speaker 1: to the doctor and have a physician assistant, while we're 1246 01:05:04,640 --> 01:05:07,960 Speaker 1: like a physician assistant to the pathologist. So we have 1247 01:05:08,080 --> 01:05:11,200 Speaker 1: a whole entire different program than the physician's assistants do 1248 01:05:11,360 --> 01:05:14,840 Speaker 1: because we're dealing with organs and dead people in anatomy 1249 01:05:15,120 --> 01:05:17,440 Speaker 1: more than that they would be. So we have to 1250 01:05:17,480 --> 01:05:20,360 Speaker 1: just learn a whole different way of doing things than 1251 01:05:20,400 --> 01:05:23,080 Speaker 1: they would do because we don't take care of live patients, 1252 01:05:23,120 --> 01:05:26,840 Speaker 1: so we don't really have any emphasis on pharmacy or 1253 01:05:26,880 --> 01:05:30,000 Speaker 1: anything like that because like we're not giving patients medications, 1254 01:05:30,040 --> 01:05:33,920 Speaker 1: and it's just a different it's just a totally different field. 1255 01:05:35,360 --> 01:05:37,760 Speaker 1: So when we do the autopsy, we could do the 1256 01:05:37,800 --> 01:05:42,880 Speaker 1: autopsy by ourself, and a pathologist always has to really 1257 01:05:43,040 --> 01:05:45,200 Speaker 1: be there. Technically, they don't have to be in the 1258 01:05:45,280 --> 01:05:47,120 Speaker 1: room with us, but they have to be on the 1259 01:05:47,160 --> 01:05:49,360 Speaker 1: case because they're the ones that are going to look 1260 01:05:49,360 --> 01:05:51,720 Speaker 1: at the microscopic slides that we take from them. But 1261 01:05:52,440 --> 01:05:55,680 Speaker 1: we're we have more authority to do the whole thing 1262 01:05:55,760 --> 01:06:00,680 Speaker 1: by ourself without having anybody there present because we're trained 1263 01:06:00,720 --> 01:06:03,439 Speaker 1: to do it, and autopsy tech is a little bit 1264 01:06:03,520 --> 01:06:08,680 Speaker 1: different they are, so they will eviscerate basically, they'll take 1265 01:06:08,680 --> 01:06:10,440 Speaker 1: care of the more ex ceta for the autopsy and 1266 01:06:10,440 --> 01:06:13,760 Speaker 1: they'll evisceraate so they could make the incisions and take 1267 01:06:13,800 --> 01:06:17,320 Speaker 1: the organs out, but really they're not trained to know 1268 01:06:17,600 --> 01:06:20,800 Speaker 1: what they're looking for. There always should be a pathologist 1269 01:06:20,840 --> 01:06:23,440 Speaker 1: or a PA with them to watch what they're doing, 1270 01:06:23,720 --> 01:06:26,720 Speaker 1: just because they're not allowed to take out all the 1271 01:06:26,840 --> 01:06:30,919 Speaker 1: organs and then like go tell the doctor hours later 1272 01:06:31,000 --> 01:06:34,240 Speaker 1: what they saw. They just don't have that educational requirement 1273 01:06:34,280 --> 01:06:39,080 Speaker 1: to be able to do that. That particular position used 1274 01:06:39,080 --> 01:06:41,320 Speaker 1: to be called the deaner back in the day. I 1275 01:06:41,320 --> 01:06:43,440 Speaker 1: don't know if anybody's ever heard of that position, but 1276 01:06:43,520 --> 01:06:46,160 Speaker 1: now I think they call it an autopsy tech. So 1277 01:06:46,640 --> 01:06:50,520 Speaker 1: they're usually just side by side, especially like in medical 1278 01:06:50,560 --> 01:06:55,480 Speaker 1: examiner's offices and stuff, because sometimes in bigger offices there 1279 01:06:55,520 --> 01:06:58,240 Speaker 1: could be multiple bodies lined up in a row. And 1280 01:06:58,280 --> 01:07:00,480 Speaker 1: then this way the doctor could just be there and 1281 01:07:00,520 --> 01:07:03,160 Speaker 1: like go body to body, but not have to do 1282 01:07:03,360 --> 01:07:07,560 Speaker 1: all of the heavy lifting and dirty work basically all right. 1283 01:07:07,680 --> 01:07:10,800 Speaker 2: Next, in homicide cases where they used a weapon, did 1284 01:07:10,840 --> 01:07:14,760 Speaker 2: they leave it in the body if it's stuck, Yes, 1285 01:07:14,840 --> 01:07:17,560 Speaker 2: they would, they would, they would leave it in the body. 1286 01:07:17,640 --> 01:07:23,880 Speaker 2: So for example Ellen Greenberg, well, so I don't know, 1287 01:07:23,920 --> 01:07:28,200 Speaker 2: because I don't believe that the boyfriend pulled the knife out. 1288 01:07:28,920 --> 01:07:32,960 Speaker 1: Right, I don't. I don't remember that case. But Ellen Greenberg, 1289 01:07:33,080 --> 01:07:35,440 Speaker 1: she was one of the high profile death disseections that 1290 01:07:35,480 --> 01:07:38,560 Speaker 1: we've covered, and when she died, she had a knife 1291 01:07:38,600 --> 01:07:42,600 Speaker 1: lodged in her chest. Still, so under normal circumstances, if 1292 01:07:42,640 --> 01:07:44,920 Speaker 1: no one removes it at the scene, which which a 1293 01:07:45,000 --> 01:07:48,600 Speaker 1: regular person should never do that anyway, they would bring 1294 01:07:48,720 --> 01:07:51,280 Speaker 1: the body to the medical examiner's office and then they 1295 01:07:51,320 --> 01:07:54,520 Speaker 1: would they would leave every everything gets left in place. 1296 01:07:54,960 --> 01:07:58,160 Speaker 1: And that that's for anything like let's say a person 1297 01:07:58,200 --> 01:08:01,960 Speaker 1: got impelled by something and died. You would want to 1298 01:08:02,080 --> 01:08:04,920 Speaker 1: leave as much as possible for them to examine, just 1299 01:08:04,960 --> 01:08:07,880 Speaker 1: so they could really clearly document the injuries and exactly 1300 01:08:07,920 --> 01:08:12,440 Speaker 1: what caused the person to die. Sometimes obviously you couldn't because, 1301 01:08:12,760 --> 01:08:16,439 Speaker 1: like I don't know, if it's like a huge fence 1302 01:08:16,479 --> 01:08:18,000 Speaker 1: at Stepta, you can't bring it with you, you know 1303 01:08:18,040 --> 01:08:19,080 Speaker 1: what I mean, like things like that. 1304 01:08:19,120 --> 01:08:22,200 Speaker 2: But all right, last, what do you guys typically do 1305 01:08:22,360 --> 01:08:23,240 Speaker 2: on a day off? 1306 01:08:27,120 --> 01:08:27,960 Speaker 1: You want to go first? 1307 01:08:28,960 --> 01:08:31,960 Speaker 2: Yeah, I mean most of the time it's boring, like 1308 01:08:32,000 --> 01:08:34,639 Speaker 2: I'll catch up on my like I'll clean my house 1309 01:08:34,720 --> 01:08:37,200 Speaker 2: or do chores or meal prep or something like that. 1310 01:08:37,680 --> 01:08:40,040 Speaker 2: If it's like a nice day out, I like to 1311 01:08:40,320 --> 01:08:44,000 Speaker 2: go out and go shopping. Not shopping like for clothes. 1312 01:08:44,000 --> 01:08:45,880 Speaker 2: I just like to like go to a vintage Doore 1313 01:08:45,960 --> 01:08:48,240 Speaker 2: or bookstore and get a nice coffee or just like 1314 01:08:48,640 --> 01:08:50,880 Speaker 2: do something and walk around because when I'm in my 1315 01:08:50,960 --> 01:08:52,920 Speaker 2: house all day like makes you stare crazy. 1316 01:08:53,000 --> 01:08:56,040 Speaker 1: So like Maria's like get such like a towny, like 1317 01:08:56,080 --> 01:08:58,960 Speaker 1: she she likes going all these towns and like trying 1318 01:08:59,040 --> 01:09:02,680 Speaker 1: every little coffee shop and little shops and stuff like that. 1319 01:09:02,680 --> 01:09:05,720 Speaker 1: That's like that's her thing all the time, no matter what. 1320 01:09:06,520 --> 01:09:09,479 Speaker 2: The coffee we had on Sunday at that place on 1321 01:09:09,640 --> 01:09:12,200 Speaker 2: Rowan's campus was pretty delicious. 1322 01:09:11,720 --> 01:09:13,680 Speaker 1: Yeah, it was good. I got to match it and 1323 01:09:13,720 --> 01:09:16,840 Speaker 1: it was good. Yeah, And I don't really I mean, 1324 01:09:16,920 --> 01:09:19,280 Speaker 1: I don't have an exciting life either, trust me. I 1325 01:09:19,320 --> 01:09:23,040 Speaker 1: cook when like I take like hours to cook though, 1326 01:09:23,080 --> 01:09:25,439 Speaker 1: Like I like to cook really good meals, especially like 1327 01:09:25,600 --> 01:09:29,679 Speaker 1: on Sunday. Now that it's getting warmer out, I'll be guarding, 1328 01:09:29,720 --> 01:09:32,719 Speaker 1: so I'll be outside, like making my outside look awesome. 1329 01:09:32,760 --> 01:09:35,759 Speaker 1: For a couple of months. We go to Phillies games. 1330 01:09:35,800 --> 01:09:37,920 Speaker 1: They started. We didn't even go to one yet, but 1331 01:09:37,960 --> 01:09:41,400 Speaker 1: that's we have partial season, so we go, all of us, 1332 01:09:41,760 --> 01:09:45,960 Speaker 1: our whole family goes a lot and just like go 1333 01:09:46,160 --> 01:09:48,559 Speaker 1: We go down the shore too. In the summer. Like 1334 01:09:48,560 --> 01:09:50,759 Speaker 1: in the winter, it's kind of like whatever, do projects 1335 01:09:50,800 --> 01:09:53,879 Speaker 1: around the house and stuff. Nothing that exciting. We do movies, 1336 01:09:54,240 --> 01:09:59,000 Speaker 1: TV shows. Yeah, we're not very fun. We're not nothing 1337 01:09:59,040 --> 01:10:00,200 Speaker 1: crazy going on here. 1338 01:10:00,720 --> 01:10:06,080 Speaker 2: No, I laugh because you know when we do the show. 1339 01:10:06,160 --> 01:10:09,880 Speaker 2: For example, today, I'm like, I'm wearing like a nice 1340 01:10:09,920 --> 01:10:12,719 Speaker 2: top for the show, but I'm wearing like pajama possums 1341 01:10:12,800 --> 01:10:16,120 Speaker 2: right now. That's like, that's like what happens like when 1342 01:10:16,120 --> 01:10:18,280 Speaker 2: I work from home, I look like a total slob 1343 01:10:19,240 --> 01:10:20,799 Speaker 2: and then I don't know. 1344 01:10:20,720 --> 01:10:22,720 Speaker 1: I think it's just just like really funny. I have, 1345 01:10:22,920 --> 01:10:25,120 Speaker 1: like I don't know if I've ever told you guys this, 1346 01:10:25,200 --> 01:10:27,880 Speaker 1: but I have like a I hate when people wear 1347 01:10:27,920 --> 01:10:31,439 Speaker 1: pajamas like in public. And it's like one of my 1348 01:10:31,560 --> 01:10:34,240 Speaker 1: pet peeves that I can't now that's so surprising that 1349 01:10:34,320 --> 01:10:38,960 Speaker 1: you don't like that. It's seriously, is just oh my god, 1350 01:10:38,960 --> 01:10:41,400 Speaker 1: it annoys me so like every single day when I 1351 01:10:41,439 --> 01:10:46,880 Speaker 1: wake up, I get dressed like the pajamas after nine 1352 01:10:46,880 --> 01:10:51,320 Speaker 1: o'clock or like, no, I just I'm not tolerant of 1353 01:10:51,360 --> 01:10:52,799 Speaker 1: it out in public. 1354 01:10:52,840 --> 01:10:55,839 Speaker 2: I mean, I wouldn't wear my pajama pants out in public. 1355 01:10:55,880 --> 01:10:57,720 Speaker 2: But if I'm just gonna be in the house all day, 1356 01:10:58,600 --> 01:11:00,160 Speaker 2: then it's the same. 1357 01:11:00,200 --> 01:11:04,120 Speaker 1: Thing as like the rule about making your bed every day, Like. 1358 01:11:04,120 --> 01:11:08,120 Speaker 2: I certainly don't do that. Yeah, it's you should. Though 1359 01:11:08,320 --> 01:11:10,960 Speaker 2: there's like lots of studies done that show that people 1360 01:11:10,960 --> 01:11:13,599 Speaker 2: are more productive that make their bed every day. It's 1361 01:11:13,600 --> 01:11:16,760 Speaker 2: like it's pretty productive, so listen, it sets off a 1362 01:11:16,800 --> 01:11:19,280 Speaker 2: cascade in your mind and you don't even know it. 1363 01:11:19,360 --> 01:11:21,280 Speaker 2: Like once you do that, if you wake up and 1364 01:11:21,320 --> 01:11:24,240 Speaker 2: do that, then it's like you've already accomplished something for 1365 01:11:24,320 --> 01:11:26,680 Speaker 2: the day. And they their studies have said that it 1366 01:11:26,760 --> 01:11:29,040 Speaker 2: leads to doing more tasks throughout the day. 1367 01:11:29,920 --> 01:11:31,559 Speaker 1: I'm just sure. I mean I do. 1368 01:11:32,120 --> 01:11:33,800 Speaker 2: I do a lot of tasks during the day, so 1369 01:11:33,840 --> 01:11:35,840 Speaker 2: I don't feel I'd like to add putting. 1370 01:11:36,120 --> 01:11:39,439 Speaker 1: I'd like to add putting clothes onto that too. You do, actually, 1371 01:11:39,439 --> 01:11:40,880 Speaker 1: So I'm not going to give you too much shit 1372 01:11:40,920 --> 01:11:45,000 Speaker 1: because you you are a productive human. But I'm just 1373 01:11:45,120 --> 01:11:46,479 Speaker 1: thanks just putting it out there. 1374 01:11:46,560 --> 01:11:49,840 Speaker 2: Thanks for putting your criticisms aside for me. It's just 1375 01:11:50,000 --> 01:11:52,880 Speaker 2: so nice, all right, guys, don't I mean if you 1376 01:11:53,000 --> 01:11:55,719 Speaker 2: ever tried to go in public, I would I would 1377 01:11:56,479 --> 01:11:59,559 Speaker 2: not allow it, or I would not do that because 1378 01:11:59,600 --> 01:12:02,000 Speaker 2: I don't do that, so like it's not even a 1379 01:12:02,080 --> 01:12:05,760 Speaker 2: concern for me, So all right, well whatever, Thank you 1380 01:12:05,760 --> 01:12:06,439 Speaker 2: guys so much. 1381 01:12:06,520 --> 01:12:08,519 Speaker 1: Please send in your entry for the. 1382 01:12:08,479 --> 01:12:12,479 Speaker 2: One million download give away two stories at Mothernosdeath dot com. 1383 01:12:12,920 --> 01:12:19,160 Speaker 1: Thanks guys, thank you for listening to Mother Knows Death. 1384 01:12:19,840 --> 01:12:23,600 Speaker 1: As a reminder, my training is as a pathologists assistant. 1385 01:12:24,320 --> 01:12:27,759 Speaker 1: I have a master's level education and specialize in anatomy 1386 01:12:27,800 --> 01:12:31,439 Speaker 1: and pathology education. I am not a doctor and I 1387 01:12:31,439 --> 01:12:35,280 Speaker 1: have not diagnosed or treated anyone dead or alive without 1388 01:12:35,320 --> 01:12:40,000 Speaker 1: the assistance of a licensed medical doctor. This show, My 1389 01:12:40,120 --> 01:12:43,720 Speaker 1: website and social media accounts are designed to educate and 1390 01:12:43,800 --> 01:12:48,240 Speaker 1: inform people based on my experience working in pathology, so 1391 01:12:48,280 --> 01:12:51,920 Speaker 1: they can make healthier decisions regarding their life and well being. 1392 01:12:53,040 --> 01:12:55,920 Speaker 1: Always remember that science is changing every day and the 1393 01:12:55,920 --> 01:12:59,240 Speaker 1: opinions expressed in this episode are based on my knowledge 1394 01:12:59,240 --> 01:13:02,920 Speaker 1: of those subjects at the time of publication. If you 1395 01:13:02,960 --> 01:13:06,840 Speaker 1: are having a medical problem, have a medical question, or 1396 01:13:07,040 --> 01:13:11,280 Speaker 1: having a medical emergency, please contact your physician or visit 1397 01:13:11,320 --> 01:13:16,639 Speaker 1: an urgent care center, emergency room, or hospital. Please rate, review, 1398 01:13:16,760 --> 01:13:21,160 Speaker 1: and subscribe to Mother Knows Death on Apple, Spotify, YouTube, 1399 01:13:21,400 --> 01:13:23,879 Speaker 1: or anywhere you get podcasts. Thanks