1 00:00:08,039 --> 00:00:21,400 Speaker 1: Mother Knows Dad starring Nicole and Jemmy and Maria qk Hi. Everyone, 2 00:00:21,440 --> 00:00:23,840 Speaker 1: welcome The Mother nos Death. On today's episode, we're going 3 00:00:23,920 --> 00:00:29,160 Speaker 1: to be talking about Meghan Markle's postpartum preaclampsia, a child 4 00:00:29,280 --> 00:00:33,519 Speaker 1: that came home from daycare that was missing something, a 5 00:00:33,640 --> 00:00:36,680 Speaker 1: murder for higher plot that is local to us. Actually, 6 00:00:36,800 --> 00:00:41,600 Speaker 1: so that's pretty interesting. Pet anxiety. Just wait till you 7 00:00:41,640 --> 00:00:45,040 Speaker 1: hear what I have to say about that, and what 8 00:00:45,360 --> 00:00:49,320 Speaker 1: happens if you steal a body temporarily from a funeral home. 9 00:00:50,080 --> 00:00:53,400 Speaker 1: So lots of interesting stuff today. Let's get started with 10 00:00:53,479 --> 00:00:58,120 Speaker 1: Meghan Markle. So her podcast launched this week, The Confessions 11 00:00:58,160 --> 00:01:02,680 Speaker 1: of a Female Founder. But basically she had Whitney Wolf 12 00:01:02,760 --> 00:01:04,800 Speaker 1: hurt On, who is the founder of Bumble, and they 13 00:01:04,840 --> 00:01:07,880 Speaker 1: were talking and in their discussion it came up that 14 00:01:07,959 --> 00:01:11,399 Speaker 1: they both had pre acclampsia postpartum and you actually went 15 00:01:11,480 --> 00:01:14,440 Speaker 1: through this, So do you want to talk about it? Yeah? 16 00:01:14,520 --> 00:01:19,800 Speaker 1: I actually had a serious thing happened. So it's crazy 17 00:01:19,880 --> 00:01:24,280 Speaker 1: on this podcast. They so what this is like a 18 00:01:24,280 --> 00:01:28,360 Speaker 1: new podcast that she started? Yeah, So she had this 19 00:01:28,520 --> 00:01:31,520 Speaker 1: big deal with Spotify a couple of years ago, so 20 00:01:31,560 --> 00:01:34,399 Speaker 1: she came out with this show called Archetypes, and then 21 00:01:34,440 --> 00:01:37,560 Speaker 1: it was really weird and stiff, and then I believe 22 00:01:37,600 --> 00:01:40,679 Speaker 1: it came out that she wasn't even interviewing the people, 23 00:01:40,840 --> 00:01:44,000 Speaker 1: like a producer or an assistant was interviewing the guest, 24 00:01:44,120 --> 00:01:47,440 Speaker 1: and then they were stitching together her commentary, so it 25 00:01:47,560 --> 00:01:50,880 Speaker 1: sounded like she was interviewing them. But it must have 26 00:01:51,000 --> 00:01:53,720 Speaker 1: not hit the benchmarks with Spotify because it was this 27 00:01:53,800 --> 00:01:56,080 Speaker 1: mega deal and they ended up dropping them. So she 28 00:01:56,200 --> 00:01:59,080 Speaker 1: got this new deal with Lemonada, and then she came 29 00:01:59,160 --> 00:02:01,280 Speaker 1: up with this show Cash Is of a Female Founder, 30 00:02:01,440 --> 00:02:04,160 Speaker 1: which I believe was the title of another show. I 31 00:02:04,160 --> 00:02:06,680 Speaker 1: don't understand how somebody on her level keeps getting in 32 00:02:06,680 --> 00:02:11,240 Speaker 1: these brand like copyright trademark situations that she's getting in. 33 00:02:11,480 --> 00:02:15,200 Speaker 1: She had to rename her entire jam or jelly brand 34 00:02:15,320 --> 00:02:17,639 Speaker 1: or whatever because it was already taken, and I think 35 00:02:17,680 --> 00:02:20,880 Speaker 1: the new one she did, as ever, was the name 36 00:02:20,919 --> 00:02:24,200 Speaker 1: of another brand as well. That's crazy. I mean, when 37 00:02:24,240 --> 00:02:27,440 Speaker 1: you're not coming up with the ideas yourself, then that's 38 00:02:27,600 --> 00:02:31,120 Speaker 1: part of the problem. Yeah, I mean not. It's like 39 00:02:31,160 --> 00:02:34,480 Speaker 1: we we've talked about this before that. Remember we came 40 00:02:34,560 --> 00:02:38,000 Speaker 1: up with this genius idea to start this app that 41 00:02:38,200 --> 00:02:40,560 Speaker 1: was what was it going to be called ipoop or 42 00:02:40,760 --> 00:02:42,880 Speaker 1: it was, Yeah, we came up with this app that 43 00:02:42,919 --> 00:02:44,960 Speaker 1: we were gonna call eyepoop, and so you could rate 44 00:02:45,080 --> 00:02:50,640 Speaker 1: public bathrooms but also exists. But also we we thought 45 00:02:50,680 --> 00:02:53,160 Speaker 1: that it would have like a map that had all 46 00:02:53,320 --> 00:02:56,720 Speaker 1: of the public bathrooms just for people that you know, 47 00:02:56,840 --> 00:02:58,840 Speaker 1: you're Let's say you're in a town and you have 48 00:02:58,880 --> 00:03:00,640 Speaker 1: to go to the bathroom. It happens all the time, 49 00:03:00,720 --> 00:03:02,720 Speaker 1: and then you're like, I don't know where has a 50 00:03:02,760 --> 00:03:06,960 Speaker 1: toilet that I could use, because sometimes like the Anthropology 51 00:03:07,040 --> 00:03:09,600 Speaker 1: near us, right you go there and they don't have 52 00:03:09,680 --> 00:03:12,120 Speaker 1: a bathroom, and there's there's no place to go to 53 00:03:12,160 --> 00:03:14,600 Speaker 1: the bathroom when you're in that little shopping center. It's 54 00:03:14,600 --> 00:03:16,400 Speaker 1: so ridiculous. So if there was an app you could 55 00:03:16,440 --> 00:03:19,040 Speaker 1: pull up that showed a little toilet and even if 56 00:03:19,080 --> 00:03:21,400 Speaker 1: it was like, hey, this is a coffee shop, you're 57 00:03:21,400 --> 00:03:23,520 Speaker 1: allowed to use the toilet, but like you had to 58 00:03:23,520 --> 00:03:26,840 Speaker 1: buy something, but there's still a toilet there. Because there's times, 59 00:03:27,320 --> 00:03:30,080 Speaker 1: especially people that get diarrhea and stuff, that you're like 60 00:03:30,240 --> 00:03:32,280 Speaker 1: I need a toilet, Like right now, I don't have 61 00:03:32,360 --> 00:03:34,800 Speaker 1: time to go into five stores. It's going to end bad. 62 00:03:35,360 --> 00:03:38,640 Speaker 1: So like obviously we were like, oh my god, this 63 00:03:38,720 --> 00:03:41,400 Speaker 1: is such a good idea, and we're legit thinking about it, 64 00:03:41,440 --> 00:03:43,440 Speaker 1: and then we started looking into it and we're like, oh, 65 00:03:43,480 --> 00:03:47,120 Speaker 1: this already exists. So that happens sometimes too when you 66 00:03:47,160 --> 00:03:50,280 Speaker 1: come up with ideas because obviously, like other people must 67 00:03:50,320 --> 00:03:53,040 Speaker 1: have the same issue, right, Yeah. And I also saw 68 00:03:53,080 --> 00:03:55,520 Speaker 1: a pretty fair criticism of her show. I was looking 69 00:03:55,560 --> 00:03:57,360 Speaker 1: at the reviews last night and I said, you one 70 00:03:57,480 --> 00:04:00,520 Speaker 1: particularly brutal one. Wait, what did it tell them? What 71 00:04:00,560 --> 00:04:03,560 Speaker 1: it's says? Pull it up? But while I find that 72 00:04:03,640 --> 00:04:06,000 Speaker 1: on my phone, so I saw a fair one that 73 00:04:06,160 --> 00:04:08,360 Speaker 1: was like, I would actually really like to hear this 74 00:04:08,520 --> 00:04:11,280 Speaker 1: show if it was hosted by somebody that founded a 75 00:04:11,320 --> 00:04:14,800 Speaker 1: successful business. And I'm like, you're not wrong. I mean, 76 00:04:15,080 --> 00:04:17,719 Speaker 1: she's launched all these different brands, and I wouldn't consider 77 00:04:17,760 --> 00:04:21,520 Speaker 1: any of them to be particularly successful. Well, I mean 78 00:04:21,640 --> 00:04:26,000 Speaker 1: the thing is is that she'll she'll get the listeners, 79 00:04:26,040 --> 00:04:30,080 Speaker 1: and it's like she already has a lot of listeners, right, 80 00:04:30,160 --> 00:04:33,960 Speaker 1: and that's the ultimate goal. It does It does suck though, 81 00:04:34,240 --> 00:04:37,279 Speaker 1: when when people like I, it's the same thing, like 82 00:04:37,360 --> 00:04:41,279 Speaker 1: I wouldn't really consider her like this, this person that 83 00:04:41,560 --> 00:04:45,520 Speaker 1: should necessarily be celebrated like that because like she because 84 00:04:45,560 --> 00:04:47,880 Speaker 1: she is who she is, and she's not really doing 85 00:04:47,880 --> 00:04:50,719 Speaker 1: it herself. It's not like she's a regular person that 86 00:04:50,800 --> 00:04:55,080 Speaker 1: started from scratch and that's what happened. And I mean, listen, like, 87 00:04:55,400 --> 00:04:59,320 Speaker 1: if you're married to Prince Harry, you had the opportunities 88 00:04:59,440 --> 00:05:01,520 Speaker 1: just keep calling for you. You don't. You don't have to 89 00:05:01,560 --> 00:05:04,080 Speaker 1: work as hard as the average person, not even a 90 00:05:04,080 --> 00:05:06,839 Speaker 1: little bit. Not to say not that to say that 91 00:05:07,560 --> 00:05:11,039 Speaker 1: she doesn't, but it's it's just like, come on, I'm 92 00:05:11,040 --> 00:05:13,560 Speaker 1: also not calling her Meghan of Sussex. You're not a 93 00:05:13,600 --> 00:05:16,880 Speaker 1: working royal. You you left and you don't get the title. 94 00:05:17,040 --> 00:05:19,840 Speaker 1: Your name is Megan Markle or if you want to 95 00:05:19,880 --> 00:05:23,200 Speaker 1: go by your husband's last name, like his actual last 96 00:05:23,240 --> 00:05:26,160 Speaker 1: name it's mount Batten windsor so like choose because you're 97 00:05:26,200 --> 00:05:28,159 Speaker 1: not a working royal, so therefore you don't get to 98 00:05:28,200 --> 00:05:30,480 Speaker 1: go by the title and use it to extend your 99 00:05:30,480 --> 00:05:33,039 Speaker 1: brand when all you've done is talk shit on that family. 100 00:05:33,760 --> 00:05:36,920 Speaker 1: So like, I mean, she's doing it. So the review said, 101 00:05:36,960 --> 00:05:39,479 Speaker 1: would rather go down a slide with razors and a 102 00:05:39,480 --> 00:05:42,400 Speaker 1: pool of alcohol at the bottom and listen to this, Oh, 103 00:05:42,440 --> 00:05:45,320 Speaker 1: my god, that's you shouldn't be allowed to leave a 104 00:05:45,360 --> 00:05:49,440 Speaker 1: review unless you've actually listened. But I don't know, Like well, 105 00:05:49,600 --> 00:05:52,640 Speaker 1: I mean, there's no shortage of trolls in this world. 106 00:05:52,720 --> 00:05:56,159 Speaker 1: So anyway, let's get back to talking about what she said. 107 00:05:56,200 --> 00:05:58,560 Speaker 1: So I know that there's you know, all these people 108 00:05:58,600 --> 00:06:01,440 Speaker 1: online say that she wasn't really pregnant and all this shit, 109 00:06:01,480 --> 00:06:04,000 Speaker 1: and it's kind of like, Okay, I don't know if 110 00:06:04,040 --> 00:06:10,200 Speaker 1: I'd go that far. Just relax anyway, So she's talking 111 00:06:10,240 --> 00:06:12,880 Speaker 1: with it. What's Bumble like, is it is the skincare 112 00:06:12,920 --> 00:06:15,839 Speaker 1: stop her? No, it's a dating app, but women could 113 00:06:15,920 --> 00:06:18,240 Speaker 1: mess women have well, I don't know if it's I'm 114 00:06:18,320 --> 00:06:20,560 Speaker 1: so out of the loop ten years ago when I 115 00:06:20,640 --> 00:06:23,039 Speaker 1: had used it at a time, women would have to 116 00:06:23,240 --> 00:06:27,640 Speaker 1: initiate the conversation, like if you paired with somebody. Oh okay, wait, 117 00:06:27,720 --> 00:06:30,240 Speaker 1: oh that's the one that chrisper used at some point too. Yeah. 118 00:06:30,279 --> 00:06:33,039 Speaker 1: So it's it's like Tinder, but on Tinder either or 119 00:06:33,200 --> 00:06:35,800 Speaker 1: could message first. But on Bumble at the time I 120 00:06:35,880 --> 00:06:37,520 Speaker 1: use it, I assume it still works that way, the 121 00:06:37,560 --> 00:06:41,719 Speaker 1: female had to contact first. Okay. So anyway, she's talking 122 00:06:41,839 --> 00:06:44,279 Speaker 1: to this woman and they both have. What they're saying, 123 00:06:44,360 --> 00:06:47,800 Speaker 1: is this rare condition, and they always say that it's rare, 124 00:06:47,920 --> 00:06:50,839 Speaker 1: but like I've heard so many people have it, which 125 00:06:50,880 --> 00:06:56,080 Speaker 1: is interesting. So preaclampsia is a condition that it affects 126 00:06:56,080 --> 00:06:59,960 Speaker 1: like five to eight percent of pregnancies, and it's characterized 127 00:07:00,120 --> 00:07:04,239 Speaker 1: by high blood pressure during pregnancy and sometimes fluid retention 128 00:07:04,400 --> 00:07:07,440 Speaker 1: and you could have protein in the urine, So that's 129 00:07:07,640 --> 00:07:11,080 Speaker 1: something that is usually picked up. It's more common to 130 00:07:11,120 --> 00:07:13,520 Speaker 1: occur towards the end of pregnancy, which is one of 131 00:07:13,600 --> 00:07:16,640 Speaker 1: the reasons that they want to see you more often. 132 00:07:17,440 --> 00:07:20,680 Speaker 1: After twenty weeks, you have to go more frequently to appointments, 133 00:07:21,240 --> 00:07:23,360 Speaker 1: and you know, you go to the doctor and they 134 00:07:23,480 --> 00:07:25,760 Speaker 1: check to see if you have fluid in your ankles, 135 00:07:25,800 --> 00:07:29,320 Speaker 1: and they checked your blood pressure and then if you 136 00:07:29,640 --> 00:07:35,280 Speaker 1: have high blood pressure, repeated high blood pressure readings, because 137 00:07:35,840 --> 00:07:38,000 Speaker 1: almost everyone that goes to the doctor has high blood 138 00:07:38,000 --> 00:07:41,400 Speaker 1: pressure just because they're usually like running from place to place, 139 00:07:41,480 --> 00:07:43,720 Speaker 1: and you go and they check it and it's high, 140 00:07:43,880 --> 00:07:46,240 Speaker 1: and they'll say they'll say, oh, this isn't good, and 141 00:07:46,240 --> 00:07:47,920 Speaker 1: then they'll have you come back and check it and 142 00:07:48,200 --> 00:07:50,520 Speaker 1: if you definitely have like a true high blood pressure, 143 00:07:50,600 --> 00:07:54,720 Speaker 1: hypertensive moment. Then they're going to take a twenty four 144 00:07:54,760 --> 00:07:56,800 Speaker 1: hour you're in from you, which is they make you 145 00:07:56,880 --> 00:07:58,920 Speaker 1: pee in this jug for a whole entire day, and 146 00:07:58,960 --> 00:08:02,040 Speaker 1: they want to see if you're high protein in your urine. 147 00:08:03,040 --> 00:08:06,080 Speaker 1: And then once that happens, you're diagnosed with preeclampsia, and 148 00:08:06,600 --> 00:08:09,440 Speaker 1: that in itself is a problem, but then it could 149 00:08:09,560 --> 00:08:14,320 Speaker 1: lead to a clampsia, which could cause strokes, it could 150 00:08:14,400 --> 00:08:17,800 Speaker 1: cause seizures, and it could lead to death. It could 151 00:08:17,840 --> 00:08:21,160 Speaker 1: lead to help syndrome, and that's what I had, and 152 00:08:21,200 --> 00:08:24,080 Speaker 1: we'll talk about that a little bit later. So post 153 00:08:24,360 --> 00:08:27,920 Speaker 1: part So normally, when you have preoclampsia, the cure is 154 00:08:27,960 --> 00:08:30,240 Speaker 1: delivering the baby and then like it kind of just 155 00:08:30,280 --> 00:08:33,319 Speaker 1: goes away. And they think it has something to do 156 00:08:33,400 --> 00:08:36,760 Speaker 1: with the placenta and the blood vessels of the placenta. 157 00:08:36,920 --> 00:08:39,280 Speaker 1: So getting rid of the placenta just like makes this 158 00:08:39,400 --> 00:08:43,520 Speaker 1: go away. But in some people like Megan Markle this 159 00:08:43,520 --> 00:08:48,400 Speaker 1: this bumble CEO and myself, you get preeclampsia after you 160 00:08:48,520 --> 00:08:52,679 Speaker 1: deliver within a day or two, and it's it's a 161 00:08:52,720 --> 00:08:56,640 Speaker 1: similar thing, but it's also kind of scary because number one, 162 00:08:57,000 --> 00:09:01,680 Speaker 1: you could have a completely normal pregnancy and it won't 163 00:09:01,880 --> 00:09:04,760 Speaker 1: and then it could happen. Number two, if you have preeclampsay, 164 00:09:04,840 --> 00:09:07,679 Speaker 1: you could also get it. But the worst part of it, 165 00:09:07,720 --> 00:09:11,320 Speaker 1: I guess, is that you start having symptoms and you 166 00:09:11,440 --> 00:09:15,000 Speaker 1: might not notice it because now you're not really focused 167 00:09:15,040 --> 00:09:17,679 Speaker 1: on yourself being pregnant, but you just had went through 168 00:09:17,720 --> 00:09:20,560 Speaker 1: this traumatic experience of childbirth and you're taking care of 169 00:09:20,559 --> 00:09:23,640 Speaker 1: a newborn, so you might not even really realize you 170 00:09:23,760 --> 00:09:27,040 Speaker 1: have it. So what happened in my case is I 171 00:09:27,080 --> 00:09:30,040 Speaker 1: personally think that I way realized I had it, and 172 00:09:30,080 --> 00:09:31,840 Speaker 1: the people that were taking care of me was just 173 00:09:31,880 --> 00:09:35,439 Speaker 1: such a shit show, honestly, And I would never recommend 174 00:09:35,520 --> 00:09:39,480 Speaker 1: anybody to give birth at that particular hospital that's near me. 175 00:09:39,640 --> 00:09:42,040 Speaker 1: I don't want to say it, but like I tell 176 00:09:42,080 --> 00:09:46,480 Speaker 1: everybody I know to not go there. So what happened 177 00:09:46,559 --> 00:09:50,840 Speaker 1: was after I had Lilian. So I told you guys, 178 00:09:50,880 --> 00:09:56,040 Speaker 1: I gave natural childbirth three times, and what happened was 179 00:09:57,160 --> 00:09:59,240 Speaker 1: the second time. So that was when I had Lilian. 180 00:09:59,320 --> 00:10:04,400 Speaker 1: For my first pregnancy of round two kids, I went 181 00:10:04,480 --> 00:10:08,839 Speaker 1: to get an epidoral and it was just like the 182 00:10:09,520 --> 00:10:13,480 Speaker 1: anithesiologist was just like a complete frazzled idiot and like 183 00:10:13,520 --> 00:10:15,240 Speaker 1: as soon as she saw that I had a giant 184 00:10:15,280 --> 00:10:18,040 Speaker 1: tattoo on my back, she was just like, Oh, I 185 00:10:18,080 --> 00:10:20,120 Speaker 1: don't know if I could give you epidural and this 186 00:10:20,160 --> 00:10:22,280 Speaker 1: and that, and I'm just like, what are you talking about. 187 00:10:22,360 --> 00:10:24,600 Speaker 1: I know so many people that are tattooed that have 188 00:10:24,600 --> 00:10:27,880 Speaker 1: an epidural, So it was like she didn't know what 189 00:10:28,000 --> 00:10:31,240 Speaker 1: to do, which was to me ridiculous because I've never 190 00:10:31,320 --> 00:10:35,520 Speaker 1: heard of an anithesiologist doing that, Like what if you 191 00:10:35,600 --> 00:10:38,400 Speaker 1: have darker skin color, what if you're fat or something like. 192 00:10:38,840 --> 00:10:42,640 Speaker 1: It's just ridiculous that that was an obstacle for her. 193 00:10:43,000 --> 00:10:44,520 Speaker 1: So I kind of already knew it was going to 194 00:10:44,600 --> 00:10:48,280 Speaker 1: be a problem. She attempted to give me the epidoral 195 00:10:48,360 --> 00:10:51,840 Speaker 1: three separate times and failed, like it never happened, and 196 00:10:51,920 --> 00:10:55,480 Speaker 1: I gave childbirth. So that's why I gave childbirth against 197 00:10:55,480 --> 00:10:58,679 Speaker 1: my will. Naturally, every single time I had a baby, 198 00:10:58,679 --> 00:11:00,240 Speaker 1: it was kind of like I want, I was down 199 00:11:00,320 --> 00:11:02,880 Speaker 1: for it, but like it was against my will essentially. 200 00:11:03,360 --> 00:11:06,720 Speaker 1: So I give birth the Lilian, and then within like 201 00:11:06,760 --> 00:11:08,679 Speaker 1: a half hour of giving birth to her, I get 202 00:11:08,720 --> 00:11:11,920 Speaker 1: this massive headache. And I have a history of migraines. 203 00:11:12,000 --> 00:11:14,120 Speaker 1: I didn't have one the entire time I was pregnant, 204 00:11:14,480 --> 00:11:17,200 Speaker 1: so they just assumed it was like a hormonal thing 205 00:11:17,240 --> 00:11:19,280 Speaker 1: and this and that, and it was just it was 206 00:11:19,360 --> 00:11:23,439 Speaker 1: so so bad that it was distracting me from enjoying 207 00:11:23,800 --> 00:11:26,800 Speaker 1: this baby and this time with my husband and everything 208 00:11:26,840 --> 00:11:30,600 Speaker 1: because it was so debilitating. So they started giving me 209 00:11:30,600 --> 00:11:33,320 Speaker 1: medicine for it, kept giving me medicine for it. It 210 00:11:33,360 --> 00:11:35,720 Speaker 1: wasn't going away, Like nothing they were giving me was 211 00:11:35,760 --> 00:11:39,160 Speaker 1: touching it. And they finally and my blood pressure was 212 00:11:39,320 --> 00:11:42,000 Speaker 1: high the whole entire time. But they would read it 213 00:11:42,040 --> 00:11:43,839 Speaker 1: and it would be high, and then they'd leave the room, 214 00:11:43,880 --> 00:11:45,360 Speaker 1: and then they'd come back and check it, and then 215 00:11:45,400 --> 00:11:47,840 Speaker 1: it was kind of better, and then they'd leave and 216 00:11:47,880 --> 00:11:49,680 Speaker 1: come back and then it was high. It was like 217 00:11:49,800 --> 00:11:54,040 Speaker 1: intermittently super high, and then kind of normal. And then 218 00:11:54,320 --> 00:11:56,120 Speaker 1: so then they were like, oh, maybe it's just because 219 00:11:56,120 --> 00:11:58,720 Speaker 1: you're in all this pain, that's why your blood pressure's high. 220 00:11:58,720 --> 00:12:03,160 Speaker 1: Like it was so ridiculous. And I just remember at 221 00:12:03,200 --> 00:12:06,160 Speaker 1: some point, like after they were giving me the medication again, 222 00:12:06,400 --> 00:12:09,840 Speaker 1: being like, listen, guys, I want you to scan my 223 00:12:09,880 --> 00:12:12,360 Speaker 1: head because I'm going I might be having a stroke 224 00:12:12,480 --> 00:12:15,880 Speaker 1: or something like this is such a bad headache. I 225 00:12:15,920 --> 00:12:19,680 Speaker 1: started having visual changes and it just was it was terrible, 226 00:12:19,920 --> 00:12:22,920 Speaker 1: like it was the worst feeling of a migraine that 227 00:12:23,000 --> 00:12:25,840 Speaker 1: I have ever had. So then they thought, oh, maybe 228 00:12:25,880 --> 00:12:28,440 Speaker 1: I was having a leak from my epidoral because I 229 00:12:28,440 --> 00:12:32,040 Speaker 1: got poked three times. So you can get an epidoral 230 00:12:32,120 --> 00:12:35,440 Speaker 1: headache because the spinal fluid could leak slowly out of 231 00:12:35,480 --> 00:12:38,480 Speaker 1: the little hole that they puncture into your dora when 232 00:12:38,480 --> 00:12:41,760 Speaker 1: they're doing the epidoral. So then I had to get 233 00:12:41,800 --> 00:12:44,199 Speaker 1: this procedure called a blood patch, which is when they 234 00:12:44,240 --> 00:12:47,200 Speaker 1: take blood from your body and they put it back 235 00:12:47,240 --> 00:12:51,400 Speaker 1: into kind of hope a clotforms over this hole that 236 00:12:51,520 --> 00:12:55,400 Speaker 1: is put in your epidoral space. And that was also 237 00:12:55,720 --> 00:12:59,920 Speaker 1: like a complete shit show because you when you normally 238 00:13:00,280 --> 00:13:02,600 Speaker 1: blood taken, it's with a vacutine or so it's those 239 00:13:02,640 --> 00:13:06,000 Speaker 1: little tubes, and they weren't able to do that because 240 00:13:06,040 --> 00:13:09,720 Speaker 1: they had to collect the blood straight and like sterile blood, 241 00:13:09,760 --> 00:13:11,600 Speaker 1: so they had to take it from a syringe like 242 00:13:11,679 --> 00:13:14,480 Speaker 1: old school style. It just was like and then that 243 00:13:14,520 --> 00:13:17,240 Speaker 1: person that had to take the blood for that didn't 244 00:13:17,320 --> 00:13:19,920 Speaker 1: want to go through my tattoos. It was it was 245 00:13:20,080 --> 00:13:24,120 Speaker 1: just such a shit show. Anyway, The bottom line is 246 00:13:24,240 --> 00:13:27,280 Speaker 1: I go home. They they let me go because they 247 00:13:27,360 --> 00:13:29,880 Speaker 1: just determined that I did. They gave me the blood patch, 248 00:13:29,960 --> 00:13:31,640 Speaker 1: and I still had the headache and I don't know 249 00:13:31,679 --> 00:13:34,439 Speaker 1: why they let me leave with this headache. I go 250 00:13:34,520 --> 00:13:38,360 Speaker 1: home that night, I you know, I'm nursing. I go 251 00:13:38,480 --> 00:13:40,600 Speaker 1: to sleep with the baby, and then I wake up 252 00:13:40,600 --> 00:13:44,160 Speaker 1: in the morning, and you know, Gabe and Iron bed together. 253 00:13:44,200 --> 00:13:47,040 Speaker 1: I wake up and my mouth. I said to him, like, 254 00:13:47,080 --> 00:13:48,920 Speaker 1: can you go get me a drink? My mouth is 255 00:13:48,960 --> 00:13:52,160 Speaker 1: so dry, Like I just had this feeling of like 256 00:13:52,160 --> 00:13:55,240 Speaker 1: like chunks of like dry mucus inside of my mouth 257 00:13:55,320 --> 00:13:57,960 Speaker 1: or something. So I get up and I go in 258 00:13:58,040 --> 00:14:00,720 Speaker 1: the bathroom and when I look in the mirror, I 259 00:14:00,760 --> 00:14:03,240 Speaker 1: have like all of this brown stuff between my teeth 260 00:14:03,240 --> 00:14:05,360 Speaker 1: and I just don't even really think about it. I'm like, oh, 261 00:14:05,400 --> 00:14:07,520 Speaker 1: maybe it's like something I ate last night or whatever. 262 00:14:08,679 --> 00:14:13,800 Speaker 1: And Gabe comes behind me in the bathroom and he says, listen, 263 00:14:14,120 --> 00:14:16,880 Speaker 1: I don't want you to freak out, but I think 264 00:14:16,960 --> 00:14:19,120 Speaker 1: that we need to go to the hospital. And I 265 00:14:19,200 --> 00:14:21,280 Speaker 1: was like, what are you talking about? Like it was 266 00:14:21,320 --> 00:14:24,040 Speaker 1: so weird, it was so scary, but he was serious, 267 00:14:24,120 --> 00:14:26,920 Speaker 1: you know, And I was like, why and he's just like, 268 00:14:28,040 --> 00:14:30,040 Speaker 1: I don't know what's happening, but there's a lot of 269 00:14:30,080 --> 00:14:34,840 Speaker 1: blood on your pillowcase and and something's not right, and 270 00:14:34,920 --> 00:14:36,960 Speaker 1: I just want to take you to the emergency room. 271 00:14:37,080 --> 00:14:39,960 Speaker 1: And I was like, there's blood, and he's like, I 272 00:14:40,000 --> 00:14:41,520 Speaker 1: don't want you to look at it. I just want 273 00:14:41,560 --> 00:14:43,320 Speaker 1: to I want you to get in the car and 274 00:14:43,320 --> 00:14:45,200 Speaker 1: I'm going to take you to the hospital. And I 275 00:14:45,240 --> 00:14:49,640 Speaker 1: said okay, like I didn't know what was happening, And honestly, 276 00:14:49,720 --> 00:14:52,200 Speaker 1: I was probably disoriented because I feel like, knowing me, 277 00:14:52,280 --> 00:14:53,840 Speaker 1: i'd be like, no, I want to see that, I 278 00:14:53,880 --> 00:14:55,400 Speaker 1: need to take a picture of it. Whatever. So I 279 00:14:55,440 --> 00:14:59,280 Speaker 1: don't know. So we go to the hospital, go in 280 00:14:59,320 --> 00:15:03,520 Speaker 1: the emergency room, and they thought it was urgent enough 281 00:15:03,560 --> 00:15:05,880 Speaker 1: to check me right away, because you know, normally you're 282 00:15:05,920 --> 00:15:09,320 Speaker 1: like waiting forever. They take my blood pressure. I don't 283 00:15:09,360 --> 00:15:11,600 Speaker 1: even know what the reading was, but it was so 284 00:15:11,760 --> 00:15:14,720 Speaker 1: high that they took me right back, and I was 285 00:15:14,760 --> 00:15:18,720 Speaker 1: like getting treatment with it very quickly, within a couple minutes, 286 00:15:19,360 --> 00:15:21,840 Speaker 1: and I was getting an ultrasound on my liver and 287 00:15:21,880 --> 00:15:23,920 Speaker 1: I was getting all this blood work taken and they 288 00:15:24,320 --> 00:15:29,200 Speaker 1: just said okay, like I was having help syndrome, which 289 00:15:29,240 --> 00:15:35,440 Speaker 1: is when it's starting your blood cells are starting to burst. 290 00:15:35,560 --> 00:15:38,680 Speaker 1: So it's like help stance is h e LLP and 291 00:15:38,720 --> 00:15:42,560 Speaker 1: it stands for hemolysis and which is when the red 292 00:15:42,600 --> 00:15:47,160 Speaker 1: blood cells break and also when you have elevavated liver 293 00:15:47,360 --> 00:15:50,280 Speaker 1: enzymes and a low plate A count. So what happened 294 00:15:50,360 --> 00:15:52,960 Speaker 1: was the platelets in your blood are will cause your 295 00:15:53,000 --> 00:15:56,640 Speaker 1: blood to clot And we were talking about that last 296 00:15:56,680 --> 00:16:01,400 Speaker 1: episode when we were talking about Nurse Hail dying during childbirth, 297 00:16:01,920 --> 00:16:04,840 Speaker 1: and my platelets were so low that my blood wasn't 298 00:16:04,880 --> 00:16:08,640 Speaker 1: clotting and I was spontaneously bleeding through my mouth. And 299 00:16:08,680 --> 00:16:14,520 Speaker 1: that's what was happening, which is like seriously, like women 300 00:16:14,600 --> 00:16:18,480 Speaker 1: die from this. So they put me on It was crazy. 301 00:16:18,520 --> 00:16:21,400 Speaker 1: I got some ivy thing and I was magnesium. I 302 00:16:21,440 --> 00:16:23,440 Speaker 1: don't even know what drugs they were giving me. I 303 00:16:23,480 --> 00:16:27,920 Speaker 1: still had the headache, by the way, and was it 304 00:16:28,080 --> 00:16:31,280 Speaker 1: just was the craziest time ever. So I get readmitted 305 00:16:31,280 --> 00:16:33,960 Speaker 1: to the hospital for a week now after I have 306 00:16:34,080 --> 00:16:36,840 Speaker 1: the baby. And now the most messed up part of 307 00:16:36,880 --> 00:16:39,520 Speaker 1: it is that my baby is no longer a patient 308 00:16:39,520 --> 00:16:42,720 Speaker 1: because she was discharged with me when I left the 309 00:16:42,720 --> 00:16:46,120 Speaker 1: first time, and they say, well, you're not. The baby 310 00:16:46,160 --> 00:16:49,800 Speaker 1: can't stay here with you because she's not a patient anymore. 311 00:16:49,840 --> 00:16:52,400 Speaker 1: And I'm just like, what the actual fuck, Like this 312 00:16:52,440 --> 00:16:56,720 Speaker 1: is such bullshit because I was breastfeeding my kid and 313 00:16:56,760 --> 00:17:00,280 Speaker 1: then I breastfetter this whole time. It was crazy. It 314 00:17:00,320 --> 00:17:02,320 Speaker 1: was like my mom and Gabe had to take shifts 315 00:17:02,360 --> 00:17:04,760 Speaker 1: to stay with me at the hospital the entire time 316 00:17:05,200 --> 00:17:08,040 Speaker 1: because they wouldn't that was the only way they let 317 00:17:08,080 --> 00:17:10,560 Speaker 1: the baby in the room with me, and they were 318 00:17:10,640 --> 00:17:13,119 Speaker 1: sticking the kid like on my boob, and I was 319 00:17:13,200 --> 00:17:16,199 Speaker 1: just completely out of it on whatever the medications they 320 00:17:16,240 --> 00:17:18,800 Speaker 1: were giving me were, and like, thank god I got 321 00:17:18,840 --> 00:17:22,000 Speaker 1: better and everything, but it's such a horrible time. It 322 00:17:22,600 --> 00:17:27,199 Speaker 1: was a really horrible time. So I'm not sure what 323 00:17:27,359 --> 00:17:30,439 Speaker 1: happened with her. Like obviously with her, she's such a 324 00:17:30,520 --> 00:17:33,960 Speaker 1: high profile, important person, so they caught it right away 325 00:17:34,160 --> 00:17:37,359 Speaker 1: and they were able to treat her before it led 326 00:17:37,640 --> 00:17:41,040 Speaker 1: to this. But what I'm saying is like for everyone 327 00:17:41,080 --> 00:17:43,520 Speaker 1: that's listening, like it's something that you just need to 328 00:17:43,560 --> 00:17:45,760 Speaker 1: pay attention to, because I feel like at the hospital 329 00:17:45,800 --> 00:17:49,879 Speaker 1: they're just kind of like, so they have such a turnover, 330 00:17:50,040 --> 00:17:52,640 Speaker 1: like have the baby, make sure the people are stable, 331 00:17:52,720 --> 00:17:55,520 Speaker 1: get them out kind of thing, and like, I like, 332 00:17:55,600 --> 00:17:59,800 Speaker 1: looking back, I really should have pushed, especially what I know, 333 00:18:00,320 --> 00:18:02,679 Speaker 1: But like at the same time, I'm telling you, like 334 00:18:02,760 --> 00:18:07,240 Speaker 1: I was probably having some kind of cognition problems as well, 335 00:18:07,240 --> 00:18:10,119 Speaker 1: Like I just kept remember being like think I really 336 00:18:10,119 --> 00:18:12,239 Speaker 1: thought I was having a stroke or something like It's 337 00:18:12,320 --> 00:18:14,520 Speaker 1: not your job to push. It should have been their 338 00:18:14,600 --> 00:18:17,000 Speaker 1: job to recognize what was going on with you and 339 00:18:17,119 --> 00:18:19,320 Speaker 1: listen to you when you didn't feel okay enough to 340 00:18:19,359 --> 00:18:22,960 Speaker 1: be discharged. Well people might say that all the time, 341 00:18:23,000 --> 00:18:25,479 Speaker 1: though it's not even about what I was saying. It 342 00:18:25,520 --> 00:18:27,280 Speaker 1: was more about and they did. They gave me an 343 00:18:27,400 --> 00:18:29,439 Speaker 1: MRI and I wasn't having a stroke. I mean, they 344 00:18:29,480 --> 00:18:33,280 Speaker 1: did do that. And also but they really shouldn't have 345 00:18:33,359 --> 00:18:35,800 Speaker 1: let me go when my blood pressure was that high. 346 00:18:36,359 --> 00:18:38,520 Speaker 1: That that's just I mean, that was like a miss 347 00:18:38,560 --> 00:18:41,000 Speaker 1: on them. And like what am I going to do, 348 00:18:41,160 --> 00:18:44,359 Speaker 1: like sue them? No, I can't do anything, Like ultimately, 349 00:18:44,400 --> 00:18:47,080 Speaker 1: I guess I'm still alive, Like who knows if it 350 00:18:47,160 --> 00:18:50,240 Speaker 1: caused any lasting damage or anything. And then you know, 351 00:18:50,320 --> 00:18:52,679 Speaker 1: then when I got pregnant again, it was like I 352 00:18:52,760 --> 00:18:56,120 Speaker 1: was a high risk pregnancy because of what happened previously, 353 00:18:57,960 --> 00:18:59,760 Speaker 1: so I mean that was kind of good. Honestly, I 354 00:18:59,840 --> 00:19:01,719 Speaker 1: like being a high risk pregnancy because then you get 355 00:19:01,800 --> 00:19:05,040 Speaker 1: checked like way more than the average person. But may 356 00:19:05,160 --> 00:19:08,280 Speaker 1: you made me watch Steel Magnolia's Against My Will two 357 00:19:08,359 --> 00:19:11,159 Speaker 1: weeks before you gave birth, so that horrible scene in 358 00:19:11,200 --> 00:19:13,360 Speaker 1: the movie was just playing over and over and over 359 00:19:13,440 --> 00:19:16,960 Speaker 1: again in my head. Was so mad at you. I know, 360 00:19:17,160 --> 00:19:20,120 Speaker 1: I felt bad about that that because you like, yeah, 361 00:19:20,160 --> 00:19:22,960 Speaker 1: of course, like Maria's just like, oh, like a lot 362 00:19:23,040 --> 00:19:25,159 Speaker 1: happened for Maria. It's like she's eighteen years old and 363 00:19:25,200 --> 00:19:26,840 Speaker 1: then all of a sudden, mom comes and picks me 364 00:19:26,920 --> 00:19:30,560 Speaker 1: up from school and she's like, everything's okay, but Mommy's 365 00:19:30,560 --> 00:19:34,960 Speaker 1: in the hospital. This is not okay. Yeah, Like I 366 00:19:35,320 --> 00:19:39,120 Speaker 1: don't I don't really know, Like I was pretty disoriented, 367 00:19:39,160 --> 00:19:41,840 Speaker 1: I guess because I just was like and like, kind 368 00:19:41,840 --> 00:19:44,200 Speaker 1: of kudos to Gabe. I never really said this story 369 00:19:44,200 --> 00:19:45,960 Speaker 1: out loud like this, but I'm like, yeah, you know, 370 00:19:46,040 --> 00:19:49,080 Speaker 1: what's awesome like that he was that he was just 371 00:19:49,160 --> 00:19:51,359 Speaker 1: like something's terribly wrong and we need to go to 372 00:19:51,400 --> 00:19:53,240 Speaker 1: the hospital right now kind of thing. And I don't 373 00:19:53,280 --> 00:19:55,320 Speaker 1: know if he called momm or what happened, but like, 374 00:19:57,320 --> 00:19:59,359 Speaker 1: you know, I would have if I went back and 375 00:19:59,400 --> 00:20:01,439 Speaker 1: saw that too, I would have been like what the 376 00:20:01,440 --> 00:20:05,159 Speaker 1: hell and like left. But so so yeah, that's my 377 00:20:05,240 --> 00:20:08,399 Speaker 1: story with that. But so it's cool. I mean whatever. 378 00:20:08,520 --> 00:20:10,840 Speaker 1: I mean, if you love her or hate her whatever, 379 00:20:11,080 --> 00:20:16,440 Speaker 1: Like at least she's talking about stuff and whatever. So yeah, 380 00:20:16,560 --> 00:20:20,159 Speaker 1: I mean, this will this is a good first episode 381 00:20:20,160 --> 00:20:22,600 Speaker 1: for her, I guess, well for us in particular talking 382 00:20:22,640 --> 00:20:25,800 Speaker 1: about something medical. But I guess we'll see how the 383 00:20:25,840 --> 00:20:29,000 Speaker 1: show progresses. Yeah, I don't I really don't care, like 384 00:20:29,520 --> 00:20:32,679 Speaker 1: and listen, like everybody can make their own opinion about 385 00:20:32,720 --> 00:20:38,240 Speaker 1: those people and stuff, like you don't know what's going 386 00:20:38,280 --> 00:20:40,879 Speaker 1: on behind the scenes and everything like that. Like I 387 00:20:40,960 --> 00:20:44,200 Speaker 1: honestly feel like just like looking at pictures that people 388 00:20:44,240 --> 00:20:46,800 Speaker 1: don't look happy, but like what can you say, Like 389 00:20:46,840 --> 00:20:50,919 Speaker 1: you just don't know, and especially that those people's lives 390 00:20:50,960 --> 00:20:53,479 Speaker 1: with Princess Diana and the kids, and like it's just 391 00:20:53,520 --> 00:20:55,879 Speaker 1: like I can't even imagine like growing up as a 392 00:20:55,960 --> 00:21:06,639 Speaker 1: human and having to deal with that shit. Hey guys, 393 00:21:06,720 --> 00:21:10,280 Speaker 1: we are so excited that we have reached over one 394 00:21:10,320 --> 00:21:13,480 Speaker 1: million downloads on this podcast, which is just so crazy. 395 00:21:13,560 --> 00:21:16,760 Speaker 1: So we are celebrating by having a giveaway. Yeah, you 396 00:21:16,760 --> 00:21:18,720 Speaker 1: guys could enter for a chance to win a signed 397 00:21:18,760 --> 00:21:21,200 Speaker 1: copy of Nicole and Jimmy's Anatomy book one for a 398 00:21:21,280 --> 00:21:23,800 Speaker 1: year to the gross room, and a skull giant microbe 399 00:21:23,800 --> 00:21:26,399 Speaker 1: do you want to show everybody? Yeah, this thing's so cool. 400 00:21:27,440 --> 00:21:33,520 Speaker 1: So that the eyeballs, it's actually it's actually anatomically correct 401 00:21:33,680 --> 00:21:35,760 Speaker 1: size wise, it's a well, it's like a little bit 402 00:21:35,800 --> 00:21:38,240 Speaker 1: bigger than my head. But the cool part is is 403 00:21:38,280 --> 00:21:41,120 Speaker 1: that these eyeballs come out. They stay attached, but they 404 00:21:41,160 --> 00:21:44,720 Speaker 1: come out. And then there's the zipper here, which has 405 00:21:44,880 --> 00:21:47,600 Speaker 1: this was the inner ear right, Yeah, look how cute 406 00:21:47,640 --> 00:21:51,439 Speaker 1: this little guy is. And they're all attached to so 407 00:21:51,720 --> 00:21:53,800 Speaker 1: you won't lose them or your kids won't lose them. 408 00:21:53,920 --> 00:21:57,719 Speaker 1: And then there was one more what was the bring 409 00:21:58,800 --> 00:22:01,640 Speaker 1: Oh wait, there's another thing here. Two, so here's the brain. 410 00:22:01,680 --> 00:22:03,480 Speaker 1: I'm not going to take it out, but it's peeking here, 411 00:22:03,520 --> 00:22:06,880 Speaker 1: so you could take that out too. And then wait, 412 00:22:06,920 --> 00:22:12,320 Speaker 1: what's over here? Just like not even oh oh look 413 00:22:12,359 --> 00:22:18,080 Speaker 1: a cute little neuron. Get that guy? So yeah, this 414 00:22:18,240 --> 00:22:20,560 Speaker 1: one last time, this is hold on, let me get 415 00:22:20,560 --> 00:22:25,800 Speaker 1: this back in the hole. So that's really cute. All right, 416 00:22:25,880 --> 00:22:31,960 Speaker 1: look here it is again to this. I take people apart, 417 00:22:32,000 --> 00:22:35,200 Speaker 1: I don't put them back together. Okay, So to win 418 00:22:35,280 --> 00:22:37,359 Speaker 1: this great prize, you guys could head over to our 419 00:22:37,400 --> 00:22:40,919 Speaker 1: Apple or Spotify and leave us a five star review. 420 00:22:41,200 --> 00:22:43,879 Speaker 1: Or you could head over to our YouTube channel and subscribe. 421 00:22:44,080 --> 00:22:48,040 Speaker 1: Screenshot that and email your email your submission to the 422 00:22:48,119 --> 00:22:54,879 Speaker 1: stories at Mothernosdeath dot com. All right, so the next 423 00:22:55,040 --> 00:22:59,600 Speaker 1: story we're talking about is just some some bullshit that happens, 424 00:22:59,640 --> 00:23:03,160 Speaker 1: like when you're a working mom. Yeah, so this mom 425 00:23:03,320 --> 00:23:06,439 Speaker 1: calls her child's daycare in the afternoon to check in 426 00:23:06,520 --> 00:23:08,679 Speaker 1: on her and see how they're doing. And it seems 427 00:23:08,720 --> 00:23:12,080 Speaker 1: like the employee was like, we just happened to notice 428 00:23:12,119 --> 00:23:16,960 Speaker 1: one of your daughter's braids is missing. Yeah. So when 429 00:23:17,000 --> 00:23:19,719 Speaker 1: you think of that, if you hear us saying that, okay, 430 00:23:19,760 --> 00:23:22,600 Speaker 1: a kid's braid fell out, you'd just be like, all right, well, 431 00:23:22,640 --> 00:23:25,120 Speaker 1: they're little and sometimes they're attached by a little hair. 432 00:23:25,760 --> 00:23:28,320 Speaker 1: The weirdest part of this story is that this kid 433 00:23:28,720 --> 00:23:33,080 Speaker 1: has corn rows, and anybody that knows like the French 434 00:23:33,160 --> 00:23:37,000 Speaker 1: braid type goes down your head and is attached, how 435 00:23:37,040 --> 00:23:40,760 Speaker 1: would one row of it just fall off? Well, it's missing. 436 00:23:40,840 --> 00:23:43,800 Speaker 1: And if you see the photos of it, it looks 437 00:23:43,880 --> 00:23:47,800 Speaker 1: like if you see the before and after pictures, I 438 00:23:47,840 --> 00:23:50,199 Speaker 1: don't think it would be so obvious. It looks like 439 00:23:50,240 --> 00:23:53,360 Speaker 1: it had to be so carefully removed. When you think 440 00:23:53,359 --> 00:23:56,200 Speaker 1: of pulling hair out, you think of like straggly ends 441 00:23:56,240 --> 00:23:58,760 Speaker 1: from where it was ripped right or from where it 442 00:23:58,800 --> 00:24:02,359 Speaker 1: was cut off. It's so the way it's missing, it 443 00:24:02,400 --> 00:24:04,760 Speaker 1: really it is bizarre, Like it almost looks like someone 444 00:24:04,840 --> 00:24:08,120 Speaker 1: got clippers and like like like shave it off. It's 445 00:24:08,280 --> 00:24:10,919 Speaker 1: it's it's just missing. It's like a complete bald spot. 446 00:24:11,000 --> 00:24:14,280 Speaker 1: So and I guess in theory, like if this kid 447 00:24:14,560 --> 00:24:17,119 Speaker 1: has you know, little kids sometimes have thinner hair, and 448 00:24:17,200 --> 00:24:20,480 Speaker 1: if this kid's getting her hair pulled really tight and 449 00:24:20,520 --> 00:24:24,480 Speaker 1: braided all the time, it's just there's an increased risk 450 00:24:24,560 --> 00:24:26,760 Speaker 1: of the hair falling out, so it might be thinner 451 00:24:26,800 --> 00:24:29,000 Speaker 1: than normal. But it's just when you look at the 452 00:24:29,080 --> 00:24:32,040 Speaker 1: surrounding corn rows, you're just like if it looked anything 453 00:24:32,119 --> 00:24:34,800 Speaker 1: like these, this is just so bizarre that this is missing. 454 00:24:35,240 --> 00:24:39,360 Speaker 1: So I guess she ended up calling the police over 455 00:24:39,440 --> 00:24:42,800 Speaker 1: it because the daycare center wouldn't really give her a 456 00:24:42,840 --> 00:24:46,240 Speaker 1: clear answer as to what happened, and like, seriously, I 457 00:24:46,240 --> 00:24:50,640 Speaker 1: would do the same exact thing, because what the hell happened, right, 458 00:24:50,720 --> 00:24:54,840 Speaker 1: because that that hurts. Whatever happened wants to hurt the kid, right. Yeah, 459 00:24:54,880 --> 00:24:57,040 Speaker 1: So the daycare is saying they have no clear evidence 460 00:24:57,080 --> 00:24:59,320 Speaker 1: of what happened. But then I guess police were reviewing 461 00:24:59,359 --> 00:25:02,600 Speaker 1: the security footage from the classroom and they saw all 462 00:25:02,640 --> 00:25:04,639 Speaker 1: morning the girl was playing with her braids. I mean, 463 00:25:04,800 --> 00:25:06,440 Speaker 1: this is a two year old too, so she can't 464 00:25:06,440 --> 00:25:10,199 Speaker 1: even vocalize what happened. So she they see her playing 465 00:25:10,240 --> 00:25:12,840 Speaker 1: with her braids in the morning, and then at some 466 00:25:12,960 --> 00:25:15,439 Speaker 1: point they see one of the daycare workers taking a 467 00:25:15,480 --> 00:25:18,119 Speaker 1: smock off of her, and then afterwards she's like touching 468 00:25:18,160 --> 00:25:21,480 Speaker 1: that area of her head a lot. So it's kind 469 00:25:21,480 --> 00:25:24,919 Speaker 1: of but then it was missing after the smock. It 470 00:25:24,960 --> 00:25:26,919 Speaker 1: is missing and they have no idea where it is. 471 00:25:26,960 --> 00:25:29,159 Speaker 1: Her brett in her hair is nowhere to be found. 472 00:25:29,280 --> 00:25:32,679 Speaker 1: It's very weird. It is very weird, and when you 473 00:25:32,680 --> 00:25:34,879 Speaker 1: guys see the picture of it, you're you're going to 474 00:25:35,000 --> 00:25:37,879 Speaker 1: understand that this is like so weird. So I'm glad 475 00:25:37,880 --> 00:25:39,680 Speaker 1: the mom called the cops because I would have done 476 00:25:39,680 --> 00:25:43,040 Speaker 1: the same thing. Yeah, I mean, I definitely wouldn't be 477 00:25:43,119 --> 00:25:45,159 Speaker 1: uncomfortable with it. And I think what the mom was 478 00:25:45,160 --> 00:25:47,720 Speaker 1: trying to get at is she's not necessarily angry that 479 00:25:47,760 --> 00:25:50,000 Speaker 1: the hair is missing. She's angry at the way the 480 00:25:50,080 --> 00:25:53,200 Speaker 1: daycare is handling it. Yeah, well, and listen, like when 481 00:25:53,240 --> 00:25:55,520 Speaker 1: you don't get a straight answer like that, then all 482 00:25:55,520 --> 00:25:59,240 Speaker 1: of a sudden you're like, Okay, something shady because any 483 00:25:59,320 --> 00:26:02,000 Speaker 1: way that that came out, the kid had to cry 484 00:26:02,080 --> 00:26:06,120 Speaker 1: pretty significantly. There's no way that that didn't hurt, right, 485 00:26:06,480 --> 00:26:08,399 Speaker 1: I mean, just think about how much it hurts to 486 00:26:08,440 --> 00:26:12,720 Speaker 1: pull your hair. It's just I know's it came off accidentally. Yeah, 487 00:26:12,840 --> 00:26:16,280 Speaker 1: it's the whole entire thing is like the weirdest thing ever. 488 00:26:16,600 --> 00:26:19,359 Speaker 1: And they clearly have before and after fixture. I mean, 489 00:26:19,480 --> 00:26:22,400 Speaker 1: it's one hundred percent missing. It's not even like they 490 00:26:22,520 --> 00:26:25,040 Speaker 1: rebraided her hair in a different way, like it's just 491 00:26:25,119 --> 00:26:28,240 Speaker 1: not there. Yeah, it's so bizarre. It is so bizarre. 492 00:26:28,480 --> 00:26:31,399 Speaker 1: All right, This next story is so messy, and of 493 00:26:31,440 --> 00:26:34,040 Speaker 1: course it's so gonna us because only the weirdest stuff happens. 494 00:26:34,200 --> 00:26:37,000 Speaker 1: So yeah, So I saw this story yesterday and I 495 00:26:37,040 --> 00:26:40,560 Speaker 1: saw that it involved a Philly police officer. So I 496 00:26:40,600 --> 00:26:43,840 Speaker 1: was like oh, let me read this just because we 497 00:26:43,880 --> 00:26:46,520 Speaker 1: live here, right, And then I'm reading it and I'm like, 498 00:26:46,600 --> 00:26:48,439 Speaker 1: oh my god. I sent it to my mom because 499 00:26:48,480 --> 00:26:50,880 Speaker 1: it happened in the town that I grew up in, 500 00:26:51,800 --> 00:26:54,639 Speaker 1: So I was like, look, look what's happened in our 501 00:26:54,680 --> 00:26:57,600 Speaker 1: town since we left. So this twenty six year old 502 00:26:57,640 --> 00:27:00,239 Speaker 1: woman went on Tinder and offered this man she met 503 00:27:00,320 --> 00:27:03,040 Speaker 1: twelve thousand dollars to kill her boyfriend, her ex boyfriend 504 00:27:03,040 --> 00:27:05,840 Speaker 1: who was a Philly cop, and his nineteen year old daughter. 505 00:27:06,119 --> 00:27:08,320 Speaker 1: But the problem is the guy she met on Tinder 506 00:27:08,400 --> 00:27:11,359 Speaker 1: was a police informant, So of course she got arrested 507 00:27:11,400 --> 00:27:15,360 Speaker 1: pretty quickly. Like how what are the chances of that? 508 00:27:16,200 --> 00:27:20,000 Speaker 1: I was thinking that too, because like how much I 509 00:27:20,320 --> 00:27:23,160 Speaker 1: guess there could be a lot of crime happening on Tinder. 510 00:27:24,600 --> 00:27:27,399 Speaker 1: But how do you get from like, let's go on 511 00:27:27,440 --> 00:27:29,840 Speaker 1: a date to can you kill my ex boyfriend and 512 00:27:29,880 --> 00:27:33,280 Speaker 1: her kid? Well, it seems like it said from March 513 00:27:33,320 --> 00:27:36,439 Speaker 1: thirty first April third day, exchanged several phone calls and 514 00:27:36,520 --> 00:27:39,760 Speaker 1: text messages and at all and throughout the process she 515 00:27:39,840 --> 00:27:42,720 Speaker 1: had expressed many times that she wanted her ex boyfriend 516 00:27:42,720 --> 00:27:45,720 Speaker 1: did so that's when she officially offered him the money. 517 00:27:46,119 --> 00:27:48,600 Speaker 1: So then they planned up to meet up at what 518 00:27:48,680 --> 00:27:51,560 Speaker 1: like the Dollar Tree or Dollar General in Glendora, which 519 00:27:51,600 --> 00:27:54,760 Speaker 1: is how we grew up in and that's where the 520 00:27:54,840 --> 00:27:58,359 Speaker 1: arrest was made. So yeah, so there's like so many 521 00:27:58,440 --> 00:28:00,960 Speaker 1: problems with the story. Number one, you're gonna offer somebody 522 00:28:01,000 --> 00:28:04,399 Speaker 1: twelve thousand dollars to kill two people? Like wait, this 523 00:28:04,520 --> 00:28:06,560 Speaker 1: is the best part. She was gonna give him five 524 00:28:06,640 --> 00:28:09,400 Speaker 1: hundred dollars up front and then pay him in installments, 525 00:28:09,440 --> 00:28:13,600 Speaker 1: Like I didn't know Hitman took like Klarna laughter, She 526 00:28:13,880 --> 00:28:17,719 Speaker 1: must be like she must be kind of like off, 527 00:28:19,119 --> 00:28:23,120 Speaker 1: there's no way obviously, you honestly think that you're going 528 00:28:23,160 --> 00:28:26,200 Speaker 1: to hire someone and give them a down payment, which 529 00:28:26,320 --> 00:28:31,879 Speaker 1: is what like no, like nothing five hundred dollars of 530 00:28:31,920 --> 00:28:34,520 Speaker 1: twelve hundred dollars and that's gonna be enough to get 531 00:28:34,560 --> 00:28:37,360 Speaker 1: somebody to actually want to kill two people? Like what 532 00:28:37,520 --> 00:28:40,440 Speaker 1: is what is happening there? Like mentally that you think 533 00:28:40,480 --> 00:28:43,560 Speaker 1: that that's well. This reminds me of a conversation we're 534 00:28:43,560 --> 00:28:45,400 Speaker 1: having at dinner last night with Lauren, where we were 535 00:28:45,480 --> 00:28:48,560 Speaker 1: talking about the judge in Coburger's case had decided that 536 00:28:48,640 --> 00:28:51,040 Speaker 1: they couldn't use the autism defense to get him out 537 00:28:51,040 --> 00:28:53,200 Speaker 1: of the death penalty, and that she was kind of 538 00:28:53,200 --> 00:28:55,800 Speaker 1: saying that could be messed up. But you have to 539 00:28:55,920 --> 00:29:00,040 Speaker 1: argue that every single person that commits murder has some 540 00:29:00,080 --> 00:29:02,600 Speaker 1: thing wrong with them, because a normal person would just 541 00:29:02,600 --> 00:29:04,880 Speaker 1: never do something like that. So you can't really take 542 00:29:05,240 --> 00:29:08,400 Speaker 1: mental illness in your yard off the table. No, I 543 00:29:08,440 --> 00:29:12,880 Speaker 1: think that that's I think I kind of disagree with 544 00:29:12,920 --> 00:29:17,320 Speaker 1: that because if you say someone, there's people that have 545 00:29:17,440 --> 00:29:22,760 Speaker 1: like legitimate intellectual disability, okay, and and at that point, 546 00:29:23,200 --> 00:29:26,920 Speaker 1: I just don't consider a person first. Brian Coberger is 547 00:29:26,960 --> 00:29:30,000 Speaker 1: in a PhD program. Well, yeah, that's kind of where 548 00:29:30,080 --> 00:29:33,360 Speaker 1: I talk. He just got diagnosed with autism last month 549 00:29:33,440 --> 00:29:36,560 Speaker 1: or something like. He never was diagnosed with his whole life. 550 00:29:36,960 --> 00:29:41,680 Speaker 1: He doesn't have the inability to know right from wrong 551 00:29:42,000 --> 00:29:45,560 Speaker 1: just because of where he's been throughout his life. There 552 00:29:45,640 --> 00:29:48,800 Speaker 1: there definitely could be people on that spectrum that are 553 00:29:49,240 --> 00:29:54,160 Speaker 1: are cannot be considered, Like there's people that have autism 554 00:29:54,200 --> 00:29:56,960 Speaker 1: that like can't go to regular school and stuff and 555 00:29:57,000 --> 00:29:59,800 Speaker 1: they can't and and I don't ever think people with 556 00:29:59,840 --> 00:30:02,520 Speaker 1: a autism And I could be wrong because I don't 557 00:30:02,520 --> 00:30:05,239 Speaker 1: know much about it. I don't think that they have 558 00:30:05,440 --> 00:30:09,720 Speaker 1: intellectual disability. I just think they have a like even 559 00:30:09,800 --> 00:30:14,600 Speaker 1: if they have severe autism, it's because there's a communication problem. 560 00:30:14,680 --> 00:30:19,360 Speaker 1: But they seem to be intelligent people that just that 561 00:30:19,520 --> 00:30:23,840 Speaker 1: just can't communicate and and can't regulate their emotions and 562 00:30:23,880 --> 00:30:28,440 Speaker 1: things like that. That to me is like not anywhere 563 00:30:28,840 --> 00:30:32,480 Speaker 1: near a like a defense for people committing crime, and 564 00:30:32,560 --> 00:30:36,000 Speaker 1: especially somebody that's like made it through high school and 565 00:30:36,160 --> 00:30:39,160 Speaker 1: every single level it is, in the highest level of college, 566 00:30:39,200 --> 00:30:42,960 Speaker 1: like he knows how to functions as a person in society. 567 00:30:43,040 --> 00:30:47,200 Speaker 1: Like the defense is ridiculous. But well, that's other things 568 00:30:47,200 --> 00:30:50,440 Speaker 1: like mental there's other mental health things like schizophrenia and 569 00:30:50,440 --> 00:30:53,640 Speaker 1: stuff like. No, that is I guess I wasn't articulating 570 00:30:53,680 --> 00:30:56,000 Speaker 1: what I was trying to say correctly, But to your 571 00:30:56,040 --> 00:30:58,040 Speaker 1: point what you just said, he was clearly a high 572 00:30:58,080 --> 00:31:02,240 Speaker 1: functioning person, so that diagnosed should not affect him. Because 573 00:31:02,280 --> 00:31:04,600 Speaker 1: if they were allowed to go through with that, how 574 00:31:04,640 --> 00:31:06,960 Speaker 1: many people can they go back to that we're convicted 575 00:31:07,000 --> 00:31:09,840 Speaker 1: of crimes that could potentially use that defect. I mean 576 00:31:09,880 --> 00:31:13,040 Speaker 1: everybody would everybody would would use it. And it's just 577 00:31:13,440 --> 00:31:17,040 Speaker 1: because like listen, like you see these videos for add 578 00:31:17,160 --> 00:31:20,680 Speaker 1: and autism that everybody's like if your kids got this 579 00:31:20,760 --> 00:31:23,440 Speaker 1: symptom and this symptom, and I'm like, every single time 580 00:31:24,000 --> 00:31:26,840 Speaker 1: I look at those videos, I'm like, yeah, I have autism, 581 00:31:26,880 --> 00:31:29,160 Speaker 1: and I have add I have all of it. And 582 00:31:29,560 --> 00:31:31,840 Speaker 1: you could find that in any person if you really 583 00:31:31,880 --> 00:31:34,520 Speaker 1: wanted to. And like, that's just the terrible slope to 584 00:31:34,600 --> 00:31:39,080 Speaker 1: go down because then like essentially nobody, everybody could get 585 00:31:39,080 --> 00:31:41,880 Speaker 1: diagnosed with something. I mean, come on, it's just so 586 00:31:42,760 --> 00:31:44,920 Speaker 1: no that that's not going to work. And I'm glad 587 00:31:44,960 --> 00:31:47,680 Speaker 1: they said that that wasn't going to work. But there's 588 00:31:47,720 --> 00:31:53,040 Speaker 1: a difference between psychiatric illness like schizophrenia and just being 589 00:31:53,120 --> 00:31:56,600 Speaker 1: like a terrible person and like, yes, something's wrong with 590 00:31:56,640 --> 00:32:00,640 Speaker 1: you. You just have no you don't have any empathy, and 591 00:32:00,680 --> 00:32:04,320 Speaker 1: you don't have any you don't have like morals, and 592 00:32:04,360 --> 00:32:07,960 Speaker 1: that's probably in this case. But this girl's just i mean, 593 00:32:08,040 --> 00:32:12,920 Speaker 1: like offering the five hundred dollars doing this over tender. 594 00:32:13,560 --> 00:32:17,840 Speaker 1: So anyway, this cop met this ex girlfriend because she 595 00:32:18,000 --> 00:32:21,120 Speaker 1: was his barber, so they established they had gone out 596 00:32:21,160 --> 00:32:22,760 Speaker 1: for a while and he had just broken up with 597 00:32:22,800 --> 00:32:25,360 Speaker 1: her the month before, and then I guess she was 598 00:32:25,360 --> 00:32:28,560 Speaker 1: so underweighth she gets the yeah, exactly, and you want 599 00:32:28,560 --> 00:32:30,120 Speaker 1: to kill his daughter too. I mean, I guess she 600 00:32:30,200 --> 00:32:33,239 Speaker 1: thinks that that's part of the reason why they're broken up. 601 00:32:33,680 --> 00:32:36,959 Speaker 1: Although if you think about this too, this woman's twenty 602 00:32:37,000 --> 00:32:40,600 Speaker 1: six and the daughter's nineteen, so they're like the same age. Yeah, 603 00:32:40,640 --> 00:32:44,760 Speaker 1: it is really weird. He must be like significantly older, right, 604 00:32:44,840 --> 00:32:48,320 Speaker 1: he's in his fifties. They were saying, Yeah, so that's 605 00:32:48,920 --> 00:32:52,840 Speaker 1: that's interesting. So I guess they're doing this investigation and 606 00:32:52,920 --> 00:32:56,920 Speaker 1: they call, they find the cop, and they tell him 607 00:32:56,960 --> 00:33:01,640 Speaker 1: about this. Could you imagine, like, especially being a police officer, 608 00:33:01,720 --> 00:33:04,840 Speaker 1: getting a phone call or a visit to your house 609 00:33:04,880 --> 00:33:07,360 Speaker 1: saying that somebody is trying to hire a hitman to 610 00:33:07,440 --> 00:33:11,520 Speaker 1: kill you, Like that's that's crazy. No, And then it's 611 00:33:11,520 --> 00:33:14,360 Speaker 1: somebody you know. It's like I could see we've talked 612 00:33:14,400 --> 00:33:17,880 Speaker 1: about this with judges before and lawyers getting threats. I'm 613 00:33:17,920 --> 00:33:20,840 Speaker 1: sure cops get threats from people they've arrested too, but like, 614 00:33:20,920 --> 00:33:22,960 Speaker 1: this is somebody that you were just going out with 615 00:33:23,000 --> 00:33:28,160 Speaker 1: as of a couple of weeks ago. Yeah, it's very eerie. Okay, 616 00:33:28,280 --> 00:33:31,800 Speaker 1: this is probably my favorite story of the week. Yeah, 617 00:33:31,880 --> 00:33:36,040 Speaker 1: cause everybody get prepared because I just know you're gonna 618 00:33:36,040 --> 00:33:39,520 Speaker 1: blow up over this one. So MetLife recently did this 619 00:33:39,600 --> 00:33:42,800 Speaker 1: study and they revealed that nine and ten pet owners 620 00:33:43,120 --> 00:33:47,040 Speaker 1: reported noticing signs of separation anxiety from their pets, and 621 00:33:47,480 --> 00:33:50,680 Speaker 1: forty four percent of these people think that pet anxiety 622 00:33:50,760 --> 00:33:56,360 Speaker 1: days should be in the workplace in my lifetime and listen, 623 00:33:56,400 --> 00:33:58,800 Speaker 1: like I'm getting old forty five years. Like when I 624 00:33:58,880 --> 00:34:01,479 Speaker 1: was a kid, people like kept their dog outside all 625 00:34:01,560 --> 00:34:04,800 Speaker 1: day in like a doghouse, and that was considered to 626 00:34:04,840 --> 00:34:08,839 Speaker 1: be like okay, And now we're going from like that 627 00:34:09,560 --> 00:34:13,160 Speaker 1: to you want you literally want your your job to 628 00:34:14,120 --> 00:34:18,680 Speaker 1: offer benefits because you have anxiety about your pet. Like 629 00:34:19,080 --> 00:34:21,200 Speaker 1: it's not your job's problem you have a pet. But 630 00:34:21,280 --> 00:34:25,000 Speaker 1: I we get like a backbone here, seriously and like 631 00:34:25,000 --> 00:34:28,040 Speaker 1: like some resiliency, like it's okay, you can go to 632 00:34:28,080 --> 00:34:30,360 Speaker 1: work and leave your dog, Like your dog's gonna be 633 00:34:30,360 --> 00:34:34,360 Speaker 1: okay and you're gonna be okay. I just think it's wild. 634 00:34:34,440 --> 00:34:36,880 Speaker 1: And one of my neighbors has got a dog recently, 635 00:34:36,920 --> 00:34:39,560 Speaker 1: and she does leave the dog outside all day and 636 00:34:39,600 --> 00:34:42,399 Speaker 1: it barks all day and it like whales. And I'm 637 00:34:42,440 --> 00:34:46,759 Speaker 1: just like I am trying to work and I don't 638 00:34:46,760 --> 00:34:49,200 Speaker 1: want to like why did you get the pet if 639 00:34:49,239 --> 00:34:52,120 Speaker 1: you're's gonna stick it outside? That's really what I want 640 00:34:52,120 --> 00:34:55,640 Speaker 1: to say, Like if you like, why is this anybody 641 00:34:55,680 --> 00:34:58,520 Speaker 1: else's problem but yours and this pet? People are gonna 642 00:34:58,600 --> 00:35:01,680 Speaker 1: argue this about children to this is a problem that 643 00:35:01,719 --> 00:35:03,759 Speaker 1: doesn't need to exist too well, guess what I could 644 00:35:03,840 --> 00:35:07,440 Speaker 1: talk about that too, Like like I don't really understand 645 00:35:07,440 --> 00:35:09,279 Speaker 1: the point of having a kid either if you're not 646 00:35:09,320 --> 00:35:11,719 Speaker 1: gonna like spend time with them all day either. But 647 00:35:11,880 --> 00:35:15,880 Speaker 1: like it's the pet thing is just like you just 648 00:35:15,920 --> 00:35:18,479 Speaker 1: don't if you don't have time to be with the pet, 649 00:35:18,520 --> 00:35:21,080 Speaker 1: that just like, don't get a pet. It's it's like 650 00:35:21,320 --> 00:35:24,520 Speaker 1: the end of story. Like what's I don't understand. It 651 00:35:24,600 --> 00:35:26,920 Speaker 1: is weird because I feel like I often hear people 652 00:35:26,960 --> 00:35:28,879 Speaker 1: talking about like, oh, I have to get a dog, 653 00:35:28,920 --> 00:35:30,640 Speaker 1: and then they get a dog. And it's these people 654 00:35:30,719 --> 00:35:33,799 Speaker 1: I know that are traveling every single weekend. They work 655 00:35:33,880 --> 00:35:36,000 Speaker 1: from like eight o'clock in the morning till seven o'clock 656 00:35:36,040 --> 00:35:38,399 Speaker 1: at night. I'm like, you spend two hours a day 657 00:35:38,400 --> 00:35:40,239 Speaker 1: with your pet, and it's not a good quality of 658 00:35:40,280 --> 00:35:44,240 Speaker 1: life for the pet, always sticking them around, leaving them alone. 659 00:35:44,239 --> 00:35:47,640 Speaker 1: And this article is just like, oh, packages for the 660 00:35:47,760 --> 00:35:51,240 Speaker 1: employees are are necessary because it's not just a problem 661 00:35:51,320 --> 00:35:54,600 Speaker 1: for the pet. It's a full on emotional crisis for 662 00:35:54,719 --> 00:35:59,120 Speaker 1: owners too, and they want employers to acknowledge and take 663 00:35:59,160 --> 00:36:01,879 Speaker 1: care of their pets some mental health. Like what are 664 00:36:01,920 --> 00:36:05,680 Speaker 1: you talking about right now? This is so and listen, 665 00:36:05,760 --> 00:36:07,960 Speaker 1: Like I have a cat and I love her, and 666 00:36:08,000 --> 00:36:10,319 Speaker 1: I like she sleeps in my bed and stuff like that. 667 00:36:10,360 --> 00:36:12,440 Speaker 1: But like if we go away for a couple of days, 668 00:36:12,440 --> 00:36:16,160 Speaker 1: like I'm not I don't know, I'm just not losing 669 00:36:16,239 --> 00:36:20,680 Speaker 1: sleep over it. And I mean I think about like, oh, yeah, 670 00:36:20,680 --> 00:36:23,160 Speaker 1: she's probably like missing off because we've been gone for whatever. 671 00:36:23,200 --> 00:36:27,160 Speaker 1: But like who should be paying for that or like 672 00:36:27,280 --> 00:36:29,319 Speaker 1: paying for me to take off work. It's just like 673 00:36:30,440 --> 00:36:35,200 Speaker 1: don't you think that It's just completely outrageous. Yeah, of course. 674 00:36:35,480 --> 00:36:38,880 Speaker 1: And so it's like they're saying that. So part of 675 00:36:38,920 --> 00:36:40,960 Speaker 1: the survey, they asked a lot of questions and they 676 00:36:40,960 --> 00:36:45,400 Speaker 1: said that there's people that actually like take jobs to 677 00:36:45,680 --> 00:36:48,160 Speaker 1: work remotely so they could be home with their pet, 678 00:36:48,520 --> 00:36:51,759 Speaker 1: where they turn down jobs. So they if you want 679 00:36:51,800 --> 00:36:54,000 Speaker 1: to make that decision, that's fine, but if you have 680 00:36:54,040 --> 00:36:56,719 Speaker 1: to go into the office, you should not expect to 681 00:36:56,760 --> 00:36:59,000 Speaker 1: get a paid day off like you. Also, if you 682 00:36:59,040 --> 00:37:01,319 Speaker 1: have a child, shouldn't they get a paid day off 683 00:37:01,320 --> 00:37:04,200 Speaker 1: for childcare? Like you get a certain amount of PTO 684 00:37:04,320 --> 00:37:08,239 Speaker 1: and you need to use that appropriately. Yeah, and you could. 685 00:37:08,400 --> 00:37:13,040 Speaker 1: I mean I think that most jobs now, especially they 686 00:37:13,080 --> 00:37:16,120 Speaker 1: offer PTO and it's like paid time off. You know, 687 00:37:16,200 --> 00:37:19,319 Speaker 1: you get twenty six days a year and like do 688 00:37:19,440 --> 00:37:21,920 Speaker 1: whatever the hell you want, call out, sick, go on vacation. 689 00:37:22,160 --> 00:37:25,200 Speaker 1: Like why does it need to be specific for pets? 690 00:37:25,239 --> 00:37:28,160 Speaker 1: I don't know, because I find it hard to see 691 00:37:28,200 --> 00:37:31,560 Speaker 1: that there's any jobs that don't like lump it all 692 00:37:31,600 --> 00:37:34,720 Speaker 1: together at this point. Well, you don't pay anxiety days, 693 00:37:34,719 --> 00:37:37,960 Speaker 1: so like why and that's a human They they want 694 00:37:38,000 --> 00:37:42,799 Speaker 1: to have something called paulternity leave, which is like them 695 00:37:42,880 --> 00:37:45,320 Speaker 1: getting paid days off when they get a new pet 696 00:37:45,400 --> 00:37:48,080 Speaker 1: to acclimate the pet to their home. I think if 697 00:37:48,080 --> 00:37:50,000 Speaker 1: you want to, I think, if you're really attached to 698 00:37:50,040 --> 00:37:52,120 Speaker 1: your pet and you really want to be around it 699 00:37:52,160 --> 00:37:55,239 Speaker 1: all the time, it's your right to take a job 700 00:37:55,400 --> 00:37:58,160 Speaker 1: or decline a job whatever, but you should not expect 701 00:37:58,200 --> 00:38:00,960 Speaker 1: your job to accommodate your lifestyle choices, as they really 702 00:38:01,000 --> 00:38:04,360 Speaker 1: don't with kids as well, and really you get maternity 703 00:38:04,440 --> 00:38:06,920 Speaker 1: leave because you've just had a major thing up in 704 00:38:07,000 --> 00:38:09,359 Speaker 1: your body and you need time to yeald. All right. 705 00:38:09,440 --> 00:38:13,360 Speaker 1: So this professional snooker player, Jimmy White, was doing an interview. 706 00:38:13,400 --> 00:38:17,120 Speaker 1: Do you know it's snooker, It's no, it's kind it's 707 00:38:17,440 --> 00:38:20,520 Speaker 1: it's not the same as pool, but it's similar to 708 00:38:20,560 --> 00:38:23,560 Speaker 1: play kol okay. Anyway, So he was doing an interview 709 00:38:23,840 --> 00:38:26,920 Speaker 1: and he discussed that his brother died in nineteen ninety six, 710 00:38:27,320 --> 00:38:30,120 Speaker 1: and after the funeral, everybody went to this pub across 711 00:38:30,160 --> 00:38:33,200 Speaker 1: the street and they were sitting there really really missing 712 00:38:33,239 --> 00:38:36,880 Speaker 1: the brother. So this guy decides to go back across 713 00:38:36,920 --> 00:38:39,000 Speaker 1: the street to the funeral home, break into it because 714 00:38:39,040 --> 00:38:41,439 Speaker 1: at this point it was closed for the night, took 715 00:38:41,480 --> 00:38:43,879 Speaker 1: his brother's body, and then took him out for one 716 00:38:44,000 --> 00:38:47,840 Speaker 1: last time. I well, listen, I want to say that 717 00:38:47,920 --> 00:38:51,520 Speaker 1: he almost certainly had help doing this, because thinking about 718 00:38:52,000 --> 00:38:54,640 Speaker 1: and I hope to god the guy was embalmed. I'm 719 00:38:54,680 --> 00:38:59,080 Speaker 1: sure he was just thinking about taking around this stiff, 720 00:38:59,320 --> 00:39:01,560 Speaker 1: dead weight by he would have had to have help 721 00:39:01,640 --> 00:39:04,359 Speaker 1: from his friends. I think. I mean, it's it's kind 722 00:39:04,360 --> 00:39:08,160 Speaker 1: of it's kind of funny. It's a good story. He 723 00:39:08,200 --> 00:39:10,200 Speaker 1: didn't seem like he got in a lot of trouble 724 00:39:10,239 --> 00:39:12,600 Speaker 1: for it, right, But this is crazy to me because 725 00:39:12,640 --> 00:39:14,920 Speaker 1: he said he took him to a couple of places, 726 00:39:15,000 --> 00:39:17,719 Speaker 1: and I'm like, nobody at any of these places was like, 727 00:39:18,280 --> 00:39:21,600 Speaker 1: oh my god, what's happening and called it's weekend at Bernie's. 728 00:39:21,640 --> 00:39:24,120 Speaker 1: Like they just like put a Hawaiian shirt on him, 729 00:39:24,120 --> 00:39:27,120 Speaker 1: in sunglasses and like nobody knew what was going on. Yeah, 730 00:39:27,160 --> 00:39:28,560 Speaker 1: So he said he took him back to a couple 731 00:39:28,600 --> 00:39:30,840 Speaker 1: of places. Then they went back to the brother's house, 732 00:39:30,960 --> 00:39:32,960 Speaker 1: and then at like five or six in the morning, 733 00:39:33,040 --> 00:39:35,680 Speaker 1: they went back to the funeral home put him back. 734 00:39:36,080 --> 00:39:37,880 Speaker 1: They found him and then locked back up, and then 735 00:39:37,880 --> 00:39:40,439 Speaker 1: a couple of days later the police came and arrested him, 736 00:39:41,239 --> 00:39:43,600 Speaker 1: but they when he explained the situation, they were like, 737 00:39:44,160 --> 00:39:47,960 Speaker 1: why don't you just go apologize and like yeah, like 738 00:39:48,000 --> 00:39:49,759 Speaker 1: how like come on, how are you really going to 739 00:39:49,840 --> 00:39:54,040 Speaker 1: put someone in jail for that? That's it's like everybody understands. 740 00:39:54,080 --> 00:39:57,560 Speaker 1: It's you know, people people do like weirder things when 741 00:39:57,560 --> 00:40:00,759 Speaker 1: people die, and it's just like, I mean, we've had 742 00:40:00,800 --> 00:40:03,279 Speaker 1: stories on here of like people that their wife died 743 00:40:03,320 --> 00:40:04,879 Speaker 1: in the house with them and they just left them 744 00:40:04,880 --> 00:40:07,879 Speaker 1: there for six months. It's just like you don't really 745 00:40:07,920 --> 00:40:10,080 Speaker 1: know how you're going to react in that situation. And 746 00:40:10,560 --> 00:40:13,120 Speaker 1: even this guy, if you talked to him and said, like, hey, 747 00:40:13,560 --> 00:40:16,160 Speaker 1: would you ever take a dead body and like hang 748 00:40:16,200 --> 00:40:18,080 Speaker 1: out with it for the night, he'd probably say no. 749 00:40:18,160 --> 00:40:20,080 Speaker 1: But then when you're in the moment, you're drunk and 750 00:40:20,120 --> 00:40:25,040 Speaker 1: like it happens to you just do crazy things unreal. Well, 751 00:40:25,080 --> 00:40:27,480 Speaker 1: thank you guys so much. Don't forget to submit your 752 00:40:27,600 --> 00:40:30,319 Speaker 1: entries for the one million download giveaway, and also check 753 00:40:30,400 --> 00:40:32,719 Speaker 1: us out on the gold Shields podcast. We recorded it 754 00:40:32,719 --> 00:40:34,480 Speaker 1: a couple of weeks ago and of such an awesome 755 00:40:34,480 --> 00:40:38,480 Speaker 1: conversation with Tom and Lauren Conlin. Awesome show. Yeah, that 756 00:40:38,640 --> 00:40:41,200 Speaker 1: was so much fun. And we're going to have him 757 00:40:41,239 --> 00:40:43,480 Speaker 1: on in a couple week. Why don't we have it 758 00:40:43,640 --> 00:40:45,560 Speaker 1: next week? Next week we're going to have him on, 759 00:40:45,680 --> 00:40:49,680 Speaker 1: So listen for that episode. Because he was a cop 760 00:40:49,880 --> 00:40:53,520 Speaker 1: and he was in New York. He has some crazy stories, 761 00:40:53,600 --> 00:40:57,400 Speaker 1: crazy life, so he's going to be able to contribute 762 00:40:57,440 --> 00:41:00,439 Speaker 1: a lot to some of our stories. Yes, you guys 763 00:41:00,480 --> 00:41:06,200 Speaker 1: next week, say I have a good weekend. Thank you 764 00:41:06,280 --> 00:41:09,920 Speaker 1: for listening to Mother Knows Death as a reminder. My 765 00:41:10,040 --> 00:41:14,120 Speaker 1: training is as a pathologist's assistant. I have a master's 766 00:41:14,200 --> 00:41:19,239 Speaker 1: level education and specialize in anatomy and pathology education. I 767 00:41:19,280 --> 00:41:21,480 Speaker 1: am not a doctor and I have not diagnosed or 768 00:41:21,520 --> 00:41:25,160 Speaker 1: treated anyone dead or alive without the assistance of a 769 00:41:25,239 --> 00:41:30,680 Speaker 1: licensed medical doctor. This show, my website, and social media 770 00:41:30,719 --> 00:41:33,960 Speaker 1: accounts are designed to educate and inform people based on 771 00:41:34,040 --> 00:41:38,440 Speaker 1: my experience working in pathology, so they can make healthier 772 00:41:38,480 --> 00:41:42,879 Speaker 1: decisions regarding their life and well being. Always remember that 773 00:41:42,920 --> 00:41:45,920 Speaker 1: science is changing every day and the opinions expressed in 774 00:41:45,960 --> 00:41:49,000 Speaker 1: this episode are based on my knowledge of those subjects 775 00:41:49,080 --> 00:41:52,440 Speaker 1: at the time of publication. If you are having a 776 00:41:52,520 --> 00:41:57,400 Speaker 1: medical problem, have a medical question, or having a medical emergency, 777 00:41:57,960 --> 00:42:00,720 Speaker 1: please contact your physician or visit is it an urgent 778 00:42:00,760 --> 00:42:05,719 Speaker 1: care center, emergency room, or hospital. Please rate, review, and 779 00:42:05,840 --> 00:42:10,360 Speaker 1: subscribe to Mother Knows Death on Apple, Spotify, YouTube, or 780 00:42:10,400 --> 00:42:12,760 Speaker 1: anywhere you get podcasts. Thanks