1 00:00:03,680 --> 00:00:09,960 Speaker 1: I'm Tt and I'm Zakiyah, and this is Dope Labs. 2 00:00:11,360 --> 00:00:14,560 Speaker 1: Welcome to Dope Labs, a weekly podcast that mixes hardcore 3 00:00:14,680 --> 00:00:17,639 Speaker 1: science with pop culture and a healthy dose of friendship. 4 00:00:22,320 --> 00:00:25,000 Speaker 1: This week, we're running you through some of what we've 5 00:00:25,000 --> 00:00:28,400 Speaker 1: been seeing in our notifications, from our news app and 6 00:00:28,560 --> 00:00:32,559 Speaker 1: on our timelines. We've been traveling a lot, but luckily 7 00:00:32,680 --> 00:00:35,519 Speaker 1: we've been traveling together because we've been working on our 8 00:00:35,520 --> 00:00:39,000 Speaker 1: planetarium film with the Museum of Science in Boston. Yeah. 9 00:00:39,000 --> 00:00:42,720 Speaker 1: I got to DCA, one of my local airports the 10 00:00:42,760 --> 00:00:48,040 Speaker 1: other morning, and I immediately text you, Zakia, because it 11 00:00:48,159 --> 00:00:51,640 Speaker 1: was nasty in there. Everybody was coughing, everybody was sneezing, 12 00:00:51,720 --> 00:00:55,000 Speaker 1: everybody's noses were running. I saw a few people wipe 13 00:00:55,000 --> 00:00:58,120 Speaker 1: their nose on their sleeve, and I said, hey, girl, 14 00:00:59,120 --> 00:01:01,320 Speaker 1: bring a mask. You need to wear a mask in 15 00:01:01,320 --> 00:01:03,279 Speaker 1: the airport because it was like this in DC. I 16 00:01:03,480 --> 00:01:05,839 Speaker 1: know it's like that in Atlanta. I had just traveled 17 00:01:05,840 --> 00:01:07,640 Speaker 1: a week before and I always keep a mask in 18 00:01:07,680 --> 00:01:11,920 Speaker 1: my bag, and I'm like, yeah, it's time to put 19 00:01:12,080 --> 00:01:14,160 Speaker 1: my mask back on. I don't know what was going on. 20 00:01:14,920 --> 00:01:18,679 Speaker 1: I can't explain it, but falls here and along with 21 00:01:18,800 --> 00:01:21,800 Speaker 1: fall comes the ick. Okay. I can't remember who I 22 00:01:21,840 --> 00:01:24,000 Speaker 1: was talking to, but I was saying, are you getting 23 00:01:24,000 --> 00:01:25,800 Speaker 1: your flu shot in your COVID shot? And they were like, 24 00:01:25,800 --> 00:01:28,760 Speaker 1: are we allowed to get a COVID shot? And I 25 00:01:28,880 --> 00:01:34,960 Speaker 1: get it. Because the vaccine landscape is mountainous, it is 26 00:01:35,160 --> 00:01:38,880 Speaker 1: difficult terrain. Oh my gosh. Yes, because of all these 27 00:01:38,920 --> 00:01:42,800 Speaker 1: recent shakeups at the federal level. Because of RFK, junior 28 00:01:43,760 --> 00:01:46,840 Speaker 1: access to vaccines has changed, and it is varying from 29 00:01:46,959 --> 00:01:50,400 Speaker 1: state to state. So it's not even like, oh, me 30 00:01:50,720 --> 00:01:54,840 Speaker 1: in Maryland talking to you in Atlanta. We probably don't 31 00:01:54,840 --> 00:01:58,960 Speaker 1: have the same rules and regulations in place. Well at 32 00:01:58,960 --> 00:02:01,760 Speaker 1: the federal level, here's that's what happened last year twenty 33 00:02:01,760 --> 00:02:04,920 Speaker 1: twenty four to twenty twenty five for COVID boosters. The 34 00:02:04,960 --> 00:02:08,800 Speaker 1: recommendation was that anybody the six months are older should 35 00:02:08,800 --> 00:02:12,160 Speaker 1: get a booster shot. Okay, at the end of August, 36 00:02:12,600 --> 00:02:16,320 Speaker 1: and this is on the heels of RFK firing the 37 00:02:16,520 --> 00:02:19,960 Speaker 1: director of the CDC and wiping out that board that 38 00:02:20,040 --> 00:02:23,040 Speaker 1: makes the recommendations for immunization. On the heels of those 39 00:02:23,040 --> 00:02:26,280 Speaker 1: two events, at the end of August, they said, hey, 40 00:02:26,840 --> 00:02:30,160 Speaker 1: we're changing who we're recommending COVID vaccine boosters for so 41 00:02:30,400 --> 00:02:33,280 Speaker 1: instead of it being people six months are older regardless 42 00:02:33,280 --> 00:02:36,560 Speaker 1: of health status or risk factors, it was changed in 43 00:02:36,600 --> 00:02:39,760 Speaker 1: the recommendation now is people who are sixty five and 44 00:02:39,880 --> 00:02:43,960 Speaker 1: older or those with high risk conditions, and those high 45 00:02:44,040 --> 00:02:49,760 Speaker 1: risk conditions are like asthma, obesity, pregnancy, and like physical inactivity. 46 00:02:50,280 --> 00:02:54,760 Speaker 1: But it's tricky. In response to that, the states are like, nah, okay, 47 00:02:54,800 --> 00:02:57,120 Speaker 1: that might be the federal regulation, but we're gonna do 48 00:02:57,240 --> 00:02:59,960 Speaker 1: something different. And so there are some states like outwell, 49 00:03:00,240 --> 00:03:03,480 Speaker 1: there is a block of states I think it's Oregon, Washington, California, 50 00:03:03,480 --> 00:03:07,120 Speaker 1: and Hawaii that have been proactive. They built up this 51 00:03:07,240 --> 00:03:10,680 Speaker 1: West Coast Health Alliance the West Coast they're gonna ride Okay, 52 00:03:11,200 --> 00:03:13,840 Speaker 1: They're sharing data, reviews and issue in joint recommendation, so 53 00:03:13,880 --> 00:03:16,440 Speaker 1: pharmacy and clinics there can keep vaccinating people that are 54 00:03:16,440 --> 00:03:19,080 Speaker 1: younger than sixty five without a federal green light. Then 55 00:03:19,200 --> 00:03:22,600 Speaker 1: to other states like Florida going the completely opposite direction. 56 00:03:23,960 --> 00:03:26,000 Speaker 1: I know you saw that man. There was a lot 57 00:03:26,400 --> 00:03:30,080 Speaker 1: in my timeline about that man from Florida giving vaccine advice, 58 00:03:30,120 --> 00:03:32,680 Speaker 1: and I said, they eating you up on the internet, brothers. 59 00:03:32,800 --> 00:03:34,880 Speaker 1: I mean we all see those things. That's always like, 60 00:03:34,920 --> 00:03:37,840 Speaker 1: it always starts off with man from Florida, and it's 61 00:03:37,880 --> 00:03:40,600 Speaker 1: always gonna be something crazy. I don't know. You know, 62 00:03:40,680 --> 00:03:43,640 Speaker 1: I'm not gonna say it's just all people in Florida, 63 00:03:43,680 --> 00:03:46,520 Speaker 1: but it seems to be a trend. But with all 64 00:03:46,600 --> 00:03:48,680 Speaker 1: this talk about COVID vaccines, it makes me think about 65 00:03:48,680 --> 00:03:53,200 Speaker 1: the flu shot, like, are they still available for everyone? 66 00:03:54,000 --> 00:03:56,440 Speaker 1: Is it gonna be the same. The flu shots are free, 67 00:03:56,800 --> 00:03:59,600 Speaker 1: you know, but I don't now, I'm not really sure. 68 00:04:00,120 --> 00:04:02,520 Speaker 1: So the good news is that flu shots, on the 69 00:04:02,520 --> 00:04:04,839 Speaker 1: other hand, are still available for every one age six 70 00:04:04,880 --> 00:04:07,480 Speaker 1: months and up, and the CDC still recommends getting one 71 00:04:07,560 --> 00:04:10,360 Speaker 1: every year, and this season the flu shot covers like 72 00:04:10,440 --> 00:04:14,080 Speaker 1: three main flu strains. Now there is something exciting, or 73 00:04:14,120 --> 00:04:16,680 Speaker 1: at least exciting to meet about the flu. Being a 74 00:04:16,760 --> 00:04:22,000 Speaker 1: nerd and that I don't care. That makes me feel good. 75 00:04:22,040 --> 00:04:27,520 Speaker 1: Thank you. The nasal spray flu vaccine flu MISTED is 76 00:04:27,600 --> 00:04:30,520 Speaker 1: now proved for self administration if you're eighteen to forty one. Oh, 77 00:04:31,279 --> 00:04:37,400 Speaker 1: so you can literally vaccinate yourself. Now I want to know, TT, 78 00:04:37,560 --> 00:04:40,480 Speaker 1: would you try this? Would you try the nasal flu spray? Yes? 79 00:04:40,839 --> 00:04:43,880 Speaker 1: I think I would. Why not if they said that 80 00:04:43,960 --> 00:04:46,479 Speaker 1: there's efficacy there. You know, I'm using all of my 81 00:04:46,640 --> 00:04:51,919 Speaker 1: bio words. Yes, that's right, Like then my friends are 82 00:04:52,560 --> 00:04:58,080 Speaker 1: right only in this moment. But yeah, I think if 83 00:04:58,120 --> 00:05:00,960 Speaker 1: they're if they're saying that it's safe and that it works, absolutely, 84 00:05:00,960 --> 00:05:03,880 Speaker 1: I don't see why not. So here we have not 85 00:05:03,920 --> 00:05:07,520 Speaker 1: only our traditional flu vaccine, but expanded access that allows 86 00:05:07,600 --> 00:05:10,120 Speaker 1: us to do the flu vaccine by nasal spray and 87 00:05:10,160 --> 00:05:12,400 Speaker 1: you can get that ordered directly to your door. I 88 00:05:12,440 --> 00:05:14,360 Speaker 1: am not sponsored by flu mists. I have not taken 89 00:05:14,360 --> 00:05:17,320 Speaker 1: flu miss. I'm just excited about expanded access. You have 90 00:05:17,360 --> 00:05:21,839 Speaker 1: a fan fan flu mist, yes, And so here we 91 00:05:21,880 --> 00:05:26,080 Speaker 1: see expansion here and a narrowing of the label for 92 00:05:26,160 --> 00:05:29,680 Speaker 1: who should get vaccination on the covid side. And it 93 00:05:29,920 --> 00:05:32,680 Speaker 1: also it just feels like this term I learned when 94 00:05:32,680 --> 00:05:36,279 Speaker 1: we had doctor Barbara Hoefer and her colleague come on 95 00:05:36,279 --> 00:05:38,960 Speaker 1: to our show and talk about science denial, and they 96 00:05:39,000 --> 00:05:43,320 Speaker 1: talked about the cafeteria style like kind of picking parts 97 00:05:43,360 --> 00:05:45,080 Speaker 1: of science you want to put on your tray. Yeah, 98 00:05:45,120 --> 00:05:47,440 Speaker 1: picking and choosing. It's not that you don't believe vaccines 99 00:05:47,440 --> 00:05:49,880 Speaker 1: work because you're saying, hey, have a flu shot, but 100 00:05:50,320 --> 00:05:53,000 Speaker 1: don't have a COVID booster, right, And so the bottom 101 00:05:53,080 --> 00:05:56,680 Speaker 1: line is not to let political drama or the who 102 00:05:56,680 --> 00:05:58,520 Speaker 1: knows what kind of patience you would need at the pharmacy, 103 00:05:59,640 --> 00:06:02,920 Speaker 1: you know for access there. Right, So what should people do? 104 00:06:03,120 --> 00:06:06,160 Speaker 1: They should not let it stop them from protecting themselves 105 00:06:06,320 --> 00:06:08,360 Speaker 1: or their loved ones. Because over the holidays, I plan 106 00:06:08,440 --> 00:06:10,560 Speaker 1: on seeing all the older people in my family, and 107 00:06:10,640 --> 00:06:13,200 Speaker 1: I don't want to be the person that gets them sick. 108 00:06:13,640 --> 00:06:18,160 Speaker 1: And so I think reaching out to your primary care physician, 109 00:06:18,440 --> 00:06:21,560 Speaker 1: figuring out what's happening in your state, that's the best way. 110 00:06:21,640 --> 00:06:24,480 Speaker 1: I have seen people sharing great information on threads of 111 00:06:24,520 --> 00:06:27,159 Speaker 1: all places, they're like Walgreens on this street has the 112 00:06:27,200 --> 00:06:33,640 Speaker 1: COVID booster, like wow, word of wow, meet people where 113 00:06:33,640 --> 00:06:36,840 Speaker 1: they are. If they don't threads, go there. Isn't it 114 00:06:36,920 --> 00:06:41,599 Speaker 1: sad though, that our governance has put us in this spot, 115 00:06:41,760 --> 00:06:45,039 Speaker 1: like governance is at an all time low, right, And 116 00:06:45,080 --> 00:06:47,200 Speaker 1: it's hard because you want to turn away, but it 117 00:06:47,240 --> 00:06:50,080 Speaker 1: also feels like we need to be involved, you know 118 00:06:50,080 --> 00:06:53,159 Speaker 1: what I mean? You saying that is like the you 119 00:06:53,200 --> 00:06:55,400 Speaker 1: know how sometimes you hear a thing that you hear 120 00:06:55,440 --> 00:06:57,640 Speaker 1: it somewhere else in a different topic, like we need 121 00:06:57,680 --> 00:07:00,960 Speaker 1: to be involved? Is this theme hearing everywhere. I was 122 00:07:01,000 --> 00:07:04,640 Speaker 1: listening to this book by Karen Howe called Empire of Ai, 123 00:07:05,120 --> 00:07:07,440 Speaker 1: and so she's a journalist who's been covering AI over 124 00:07:07,480 --> 00:07:09,640 Speaker 1: the past few years. And then this book she talks 125 00:07:09,640 --> 00:07:11,800 Speaker 1: about open AI and she's like, open AI is just 126 00:07:11,840 --> 00:07:14,040 Speaker 1: what's on the plate, that's just the flavor of the moment. 127 00:07:14,320 --> 00:07:16,000 Speaker 1: We need to be looking at how we're whipping this 128 00:07:16,000 --> 00:07:18,600 Speaker 1: stuff up in the kitchen. And so she likens it 129 00:07:18,640 --> 00:07:20,960 Speaker 1: to Facebook. Facebook just used to be a social media 130 00:07:21,000 --> 00:07:23,840 Speaker 1: platform but without regulation and governance. Look at it now, 131 00:07:23,880 --> 00:07:27,760 Speaker 1: Look at Mark Zuckerberg. Okay, And so she talks about 132 00:07:28,680 --> 00:07:32,600 Speaker 1: she talks about AI and this ecosystem of web technologies 133 00:07:32,640 --> 00:07:35,679 Speaker 1: and she talks about it beyond like the large language 134 00:07:35,680 --> 00:07:38,920 Speaker 1: modelers like chat, GPT, and she was saying, we need 135 00:07:38,920 --> 00:07:40,960 Speaker 1: to be thinking about what it looks like to be 136 00:07:41,040 --> 00:07:43,040 Speaker 1: involved in governing what's happening. Because I know a lot 137 00:07:43,040 --> 00:07:44,720 Speaker 1: of people are saying opt out, don't be involved, and 138 00:07:44,760 --> 00:07:46,440 Speaker 1: I'm like, no, we need to be even more involved 139 00:07:46,520 --> 00:07:48,720 Speaker 1: in guiding. That's the only way you can protect is 140 00:07:48,760 --> 00:07:51,200 Speaker 1: if you are involved in God exactly because when you 141 00:07:51,240 --> 00:07:53,280 Speaker 1: think about it, when you think of like deep fakes, 142 00:07:53,680 --> 00:07:56,800 Speaker 1: all these scams I'm getting We were talking about this recently. 143 00:07:56,960 --> 00:08:02,119 Speaker 1: I'm getting ten scam text messages a day, I'm getting 144 00:08:02,240 --> 00:08:06,480 Speaker 1: scam calls. And when an AI starts to be a 145 00:08:06,480 --> 00:08:10,040 Speaker 1: part of the scam, people are going to really be vulnerable. 146 00:08:10,080 --> 00:08:13,520 Speaker 1: Like and I really think about our aging population who 147 00:08:13,640 --> 00:08:15,920 Speaker 1: are really vulnerable to this, Like they can receive a 148 00:08:15,960 --> 00:08:20,360 Speaker 1: phone call from someone that sounds exactly like their partner 149 00:08:20,520 --> 00:08:23,800 Speaker 1: or exactly like their grandchild and say, hey, I need 150 00:08:23,840 --> 00:08:26,360 Speaker 1: your help, can you send me this or that? Then 151 00:08:26,440 --> 00:08:28,920 Speaker 1: what if we've all opted out, then we don't know 152 00:08:28,960 --> 00:08:31,080 Speaker 1: how to fight this, and we don't know what to 153 00:08:31,200 --> 00:08:35,920 Speaker 1: ask regulators and our governments for in order to protect us. 154 00:08:36,080 --> 00:08:38,800 Speaker 1: So we really have to know what's going on in 155 00:08:38,840 --> 00:08:41,560 Speaker 1: the AI space so that we can arm ourselves with knowledge. 156 00:08:41,640 --> 00:08:45,560 Speaker 1: And that knowledge is power and it helps us to 157 00:08:46,559 --> 00:08:50,320 Speaker 1: guard ourselves against these the people that are trying to 158 00:08:50,360 --> 00:08:52,640 Speaker 1: pray on us to you know, scam us out of 159 00:08:52,679 --> 00:08:54,920 Speaker 1: our money, scam us out of our identities, and all 160 00:08:54,960 --> 00:08:57,679 Speaker 1: these things like that. So I think it's really important. 161 00:08:58,080 --> 00:09:01,400 Speaker 1: And I mean, even on the heels of that, I've 162 00:09:01,440 --> 00:09:03,920 Speaker 1: been watching a lot of documentaries. They got some good 163 00:09:03,920 --> 00:09:07,440 Speaker 1: documentaries out there right now, and speaking of like deep 164 00:09:07,480 --> 00:09:09,840 Speaker 1: fakes and pretending to be other people. Have you seen 165 00:09:10,320 --> 00:09:14,199 Speaker 1: that Netflix show Unknown Number Listen, Brittany just told me 166 00:09:14,240 --> 00:09:16,520 Speaker 1: to watch this a couple of days ago. I started 167 00:09:16,559 --> 00:09:20,079 Speaker 1: that documentary at like one am the other and we'll 168 00:09:20,080 --> 00:09:22,959 Speaker 1: talk about my sleep layers. But I still need your 169 00:09:23,040 --> 00:09:28,760 Speaker 1: ordering data and I'm afraid to upload it. I started 170 00:09:29,080 --> 00:09:33,400 Speaker 1: that documentary and it was wild tt you know, I 171 00:09:33,440 --> 00:09:37,600 Speaker 1: had heard a similar story before, and so when it 172 00:09:37,679 --> 00:09:39,880 Speaker 1: came to the end and there was that great reveal, 173 00:09:40,640 --> 00:09:44,840 Speaker 1: I was like, I knew it, you know, like I 174 00:09:44,880 --> 00:09:48,480 Speaker 1: don't want to spoil, but if you haven't seen it, 175 00:09:48,600 --> 00:09:51,040 Speaker 1: you should see it. Stop right now and go see 176 00:09:51,040 --> 00:09:55,959 Speaker 1: it and you can finish it episode. Absolutely, go see it. 177 00:09:56,240 --> 00:10:00,000 Speaker 1: I think it's been enough time. We can talk about it. Oh, 178 00:10:00,160 --> 00:10:03,640 Speaker 1: we can talk Okay. Then, So there was a young 179 00:10:03,679 --> 00:10:06,480 Speaker 1: teenage girl, probably like thirteen years old, who was going 180 00:10:06,520 --> 00:10:09,120 Speaker 1: to a school in a very small town in Michigan. 181 00:10:09,360 --> 00:10:12,240 Speaker 1: She was dating this boy. Her name was Lauren. She's 182 00:10:12,320 --> 00:10:15,439 Speaker 1: dating this boy named Owen. Lauren and Owen, you know, 183 00:10:15,480 --> 00:10:17,360 Speaker 1: I kind of grew up together. This is a very 184 00:10:17,520 --> 00:10:20,520 Speaker 1: very small town. They said they have one stoplight two bars. 185 00:10:20,559 --> 00:10:23,760 Speaker 1: There's only like one major school where it goes from 186 00:10:24,200 --> 00:10:26,960 Speaker 1: kindergarten all the way up to twelfth grade. So everybody 187 00:10:26,960 --> 00:10:32,200 Speaker 1: knows everybody. Everybody knows everybody, and so they begin to date. 188 00:10:32,400 --> 00:10:35,640 Speaker 1: And then after dating for a little bit, they start 189 00:10:35,679 --> 00:10:38,040 Speaker 1: getting text messages from a number that they don't know. 190 00:10:38,120 --> 00:10:40,040 Speaker 1: None of them have that number in their phones. They 191 00:10:40,080 --> 00:10:42,000 Speaker 1: don't know who it is, and it's saying these really 192 00:10:42,280 --> 00:10:47,800 Speaker 1: vile things about Lauren, very very vile, vulgar things about Lauren, 193 00:10:48,040 --> 00:10:52,560 Speaker 1: and they're all maliciously targeted at Lauren, and some very 194 00:10:52,600 --> 00:10:56,720 Speaker 1: sexually inappropriate things about Owen and saying like, oh, he 195 00:10:56,720 --> 00:10:59,360 Speaker 1: doesn't want you and he wants to be with me. 196 00:11:00,440 --> 00:11:04,120 Speaker 1: It was just so awful, saying really awful things about 197 00:11:04,440 --> 00:11:09,360 Speaker 1: Lauren's body and things like that. So as the story's progressing, 198 00:11:09,360 --> 00:11:12,040 Speaker 1: we're going it's been over like a year and a 199 00:11:12,080 --> 00:11:14,960 Speaker 1: half at this point, and they have suspected other people 200 00:11:15,040 --> 00:11:17,120 Speaker 1: at the school, but they haven't been able to figure 201 00:11:17,120 --> 00:11:19,000 Speaker 1: out who it was. The case gets turned over to 202 00:11:19,040 --> 00:11:21,320 Speaker 1: the FBI. The FBI is able to do like their 203 00:11:22,080 --> 00:11:27,400 Speaker 1: crypto forensics, and they trace IP addresses and it turns 204 00:11:27,440 --> 00:11:30,960 Speaker 1: out it was Lauren's mom the whole time, you like 205 00:11:30,960 --> 00:11:33,000 Speaker 1: your jaw hits the floor because then you think about 206 00:11:33,000 --> 00:11:35,560 Speaker 1: all the messages that were sent. She was telling her 207 00:11:35,679 --> 00:11:40,079 Speaker 1: daughter to die by suicide. She was saying the most 208 00:11:40,160 --> 00:11:43,240 Speaker 1: awful things about her. But then like she's saying, I 209 00:11:43,280 --> 00:11:45,040 Speaker 1: love my daughter so much, I love her, I love her, 210 00:11:45,080 --> 00:11:47,160 Speaker 1: I love her, And it's just like how do you 211 00:11:47,160 --> 00:11:49,880 Speaker 1: reconcile these things? One theory that they had in the 212 00:11:49,880 --> 00:11:52,520 Speaker 1: show is that she has like some form of Munchausen's, 213 00:11:52,840 --> 00:11:58,200 Speaker 1: which is a medical disorder where someone will go to 214 00:11:58,240 --> 00:12:01,040 Speaker 1: great lengths to either make them all seems sick and 215 00:12:01,120 --> 00:12:04,040 Speaker 1: in some cases they will do that with their kids 216 00:12:04,760 --> 00:12:08,240 Speaker 1: in order to gain attention and sympathy and things like that. 217 00:12:08,320 --> 00:12:10,800 Speaker 1: So some people are accusing her of having that disorder. 218 00:12:11,040 --> 00:12:14,960 Speaker 1: But it was just like a digital version exactly exactly. 219 00:12:15,080 --> 00:12:20,200 Speaker 1: And so I mean, if that's happening, imagine laying AI 220 00:12:20,200 --> 00:12:22,440 Speaker 1: on top of that. Who knows if they would ever 221 00:12:22,559 --> 00:12:24,840 Speaker 1: found out and like what the end of this story 222 00:12:24,880 --> 00:12:28,040 Speaker 1: would have been. That is so wild. It also reminds 223 00:12:28,120 --> 00:12:31,320 Speaker 1: me of that movie Run that had Sarah Paulson in it. 224 00:12:32,120 --> 00:12:34,240 Speaker 1: Not to give it away, but that was a good movie. 225 00:12:34,400 --> 00:12:36,920 Speaker 1: I'm gonna have to watch that, and Sad, I'm definitely 226 00:12:36,920 --> 00:12:53,679 Speaker 1: gonna have to watch that. You should watch it. As 227 00:12:53,720 --> 00:12:57,760 Speaker 1: we move more and more digital, I think about there 228 00:12:57,760 --> 00:13:00,600 Speaker 1: are places where you can create community. Everything is just 229 00:13:00,600 --> 00:13:02,840 Speaker 1: a tool, it's how you use it. In this case, 230 00:13:02,920 --> 00:13:07,160 Speaker 1: Lauren's mom was using digital tools to totally isolate her 231 00:13:07,280 --> 00:13:11,560 Speaker 1: daughter to cause mayhem, madness. I don't even know what 232 00:13:11,600 --> 00:13:13,559 Speaker 1: else to call it, because I was like, how can 233 00:13:13,600 --> 00:13:15,120 Speaker 1: she even show her face? She should be a shame. 234 00:13:15,240 --> 00:13:17,600 Speaker 1: Bring back shame, I'm sorry, bring it backly the fact 235 00:13:17,600 --> 00:13:19,360 Speaker 1: that she agreed to be a part of the documentary, 236 00:13:19,360 --> 00:13:22,480 Speaker 1: I was like, clearly, you don't feel like you did something. 237 00:13:22,880 --> 00:13:26,240 Speaker 1: What did she say? She said, we've all broken the law. Yeah. 238 00:13:26,280 --> 00:13:28,280 Speaker 1: I was like, baby, this is We're not talking about 239 00:13:28,320 --> 00:13:32,679 Speaker 1: legal or illegal. We're talking about the destruction, the destructive behavior, 240 00:13:33,240 --> 00:13:35,400 Speaker 1: the way you're tearing down your daughter. And that little 241 00:13:35,440 --> 00:13:38,840 Speaker 1: girl is young, but when she hits twenty twenty two, 242 00:13:39,120 --> 00:13:42,360 Speaker 1: twenty three, like that stuff is going to surface later 243 00:13:42,400 --> 00:13:45,320 Speaker 1: in life, and baby, I hate it for But also 244 00:13:45,400 --> 00:13:48,760 Speaker 1: we see people using digital tools to create these great communities, 245 00:13:49,120 --> 00:13:55,240 Speaker 1: to realize previously unrealized or unactualized potential. One of the 246 00:13:55,240 --> 00:13:57,720 Speaker 1: things I've been seeing and I just asked you about 247 00:13:57,720 --> 00:14:01,360 Speaker 1: this earlier, The Great Life. Yeah, I've been seeing that shit. 248 00:14:01,440 --> 00:14:04,720 Speaker 1: I first saw it on TikTok where people were saying, oh, 249 00:14:04,840 --> 00:14:08,640 Speaker 1: we're locking in starting on August first, and I was like, 250 00:14:09,440 --> 00:14:12,080 Speaker 1: why August first? You know what I mean? I saw 251 00:14:12,080 --> 00:14:14,559 Speaker 1: it on TikTok first, folks were saying, oh, we're gonna 252 00:14:14,600 --> 00:14:18,040 Speaker 1: start locking in August first. I was like, what's happening 253 00:14:18,120 --> 00:14:20,520 Speaker 1: August first? I don't understand, Like what fiscal year are 254 00:14:20,560 --> 00:14:24,200 Speaker 1: y'all on. I don't I don't understand why August first. 255 00:14:24,200 --> 00:14:25,640 Speaker 1: But then I was like, okay, let me not get 256 00:14:25,640 --> 00:14:27,680 Speaker 1: too hung up on that. And then I was like, okay, 257 00:14:27,680 --> 00:14:30,920 Speaker 1: what is this great lock in? And so the great 258 00:14:31,040 --> 00:14:33,560 Speaker 1: what a great lock in is just people saying, Okay, 259 00:14:33,600 --> 00:14:35,920 Speaker 1: starting now, I'm locking in to make sure I achieve 260 00:14:36,000 --> 00:14:38,680 Speaker 1: my twenty twenty five goals before twenty twenty six. So 261 00:14:38,840 --> 00:14:42,440 Speaker 1: August to December is for time for me to get 262 00:14:42,480 --> 00:14:45,520 Speaker 1: in shape, like really stay with my workout regimen, or 263 00:14:46,120 --> 00:14:48,520 Speaker 1: really lock into this business plan that I had, or 264 00:14:48,680 --> 00:14:52,640 Speaker 1: gain one hundred thousand followers on whatever social media platform 265 00:14:53,080 --> 00:14:56,280 Speaker 1: to start daily vlogging like I want to do like 266 00:14:56,440 --> 00:14:59,760 Speaker 1: anything that you have been putting off. They're saying, okay, 267 00:14:59,800 --> 00:15:02,680 Speaker 1: now of time to lock in and do it. Why 268 00:15:02,840 --> 00:15:06,400 Speaker 1: are we always locking in and never locking out, Like, 269 00:15:07,040 --> 00:15:11,600 Speaker 1: let's lay down, right, let's relax, and if we're really 270 00:15:11,640 --> 00:15:14,720 Speaker 1: being real, the great lock in to me just feels 271 00:15:14,760 --> 00:15:18,800 Speaker 1: like another remix of hustle culture. Remember seventy five hards. 272 00:15:19,000 --> 00:15:20,560 Speaker 1: They're still doing that. Remember I told you those people 273 00:15:20,560 --> 00:15:22,160 Speaker 1: try to put me in that seventy five hard group. 274 00:15:22,200 --> 00:15:24,800 Speaker 1: I said, baby, take me out, and they cannot trick me. 275 00:15:28,080 --> 00:15:31,720 Speaker 1: It's wow, It's just like these things, you know. I 276 00:15:31,720 --> 00:15:33,720 Speaker 1: don't know if I want to say survivor bias, but 277 00:15:33,880 --> 00:15:36,760 Speaker 1: it's some mechanism of that right where there are these 278 00:15:36,800 --> 00:15:39,720 Speaker 1: trends where if you work hard, you promises this like transformation, 279 00:15:40,360 --> 00:15:42,160 Speaker 1: or if you just grind enough for a set number 280 00:15:42,160 --> 00:15:44,880 Speaker 1: of days. There are people that grind for many, many 281 00:15:44,960 --> 00:15:48,320 Speaker 1: days okay, and nothing happens. And so now you adding 282 00:15:48,360 --> 00:15:52,720 Speaker 1: TikTok hype and hashtags and filters on top of that, 283 00:15:53,240 --> 00:15:57,040 Speaker 1: and it's like every few months there's a new font 284 00:15:57,680 --> 00:16:01,600 Speaker 1: exactly for like the same old productivity exactly. And what 285 00:16:01,640 --> 00:16:04,960 Speaker 1: that all leads to is burnout and We have done 286 00:16:05,000 --> 00:16:08,520 Speaker 1: an episode on burnout with Ann Helen Peterson, and it 287 00:16:08,600 --> 00:16:11,600 Speaker 1: is something that you know from our generation Millennials or 288 00:16:11,640 --> 00:16:15,960 Speaker 1: generation why whatever you want to call us, that we 289 00:16:16,160 --> 00:16:20,000 Speaker 1: are heavy engagers with like I'll sleep when I'm dead 290 00:16:20,200 --> 00:16:23,320 Speaker 1: and grind so hard blah blah blah blah blah blah, 291 00:16:23,360 --> 00:16:28,400 Speaker 1: and it doesn't lead to anything productive, and like it 292 00:16:28,440 --> 00:16:31,360 Speaker 1: doesn't work out well for us because we aren't even 293 00:16:31,640 --> 00:16:36,240 Speaker 1: set up economically in a way where that can work 294 00:16:36,280 --> 00:16:39,960 Speaker 1: out for us well. Like financially speaking, we are not 295 00:16:40,080 --> 00:16:44,280 Speaker 1: making as much as our parents, and we have far 296 00:16:44,440 --> 00:16:47,680 Speaker 1: less money saved, we have way more debt, there's way 297 00:16:47,760 --> 00:16:51,400 Speaker 1: less stability. It's just not the same. And so we 298 00:16:51,680 --> 00:16:54,800 Speaker 1: really we talk about locking in and everything like that, 299 00:16:54,840 --> 00:16:56,800 Speaker 1: and I just worry about folks because I'm just like, 300 00:16:57,240 --> 00:16:59,440 Speaker 1: you really gonna lock in and burn out and then 301 00:16:59,560 --> 00:17:03,000 Speaker 1: you're good to no one, especially yourself, Because if we're 302 00:17:03,000 --> 00:17:07,760 Speaker 1: talking about locking in and it comes to the detriment 303 00:17:07,840 --> 00:17:10,399 Speaker 1: of your rest, that's not the type of locking and 304 00:17:10,440 --> 00:17:14,119 Speaker 1: you should do because sleep is so essential for physical recovery, 305 00:17:14,240 --> 00:17:19,960 Speaker 1: overall health, hormone regulation, immune system support, stress reduction, improved 306 00:17:20,000 --> 00:17:22,840 Speaker 1: mood enhance, cognitive functions so that you can do all 307 00:17:22,880 --> 00:17:25,720 Speaker 1: that stuff that you claiming you want to do, locking 308 00:17:25,800 --> 00:17:28,440 Speaker 1: in barely making any progress because your cognitive function isn't 309 00:17:28,520 --> 00:17:33,240 Speaker 1: exactly that's not even increase creativity. So, really, all you 310 00:17:33,320 --> 00:17:36,680 Speaker 1: folks within the sound of my voice thinking about locking in, 311 00:17:36,720 --> 00:17:38,920 Speaker 1: and you've already been locked in for what a month 312 00:17:39,000 --> 00:17:43,720 Speaker 1: or something, Now take time to rest because it will 313 00:17:43,760 --> 00:17:46,680 Speaker 1: help you not just lock in for August through December. 314 00:17:46,960 --> 00:17:50,919 Speaker 1: It'll help you with creating an environment and ecosystem for 315 00:17:51,040 --> 00:17:56,359 Speaker 1: you to be overall locked in, locked into your mental health, 316 00:17:56,680 --> 00:18:02,040 Speaker 1: locked into your emotional health, locked into having the life 317 00:18:02,280 --> 00:18:04,800 Speaker 1: that you deserve, which is a life that has balance 318 00:18:05,359 --> 00:18:09,359 Speaker 1: with productivity and rest. Yeah, I think that's a lesson 319 00:18:09,440 --> 00:18:12,879 Speaker 1: I have really had to learn and relearn. Maybe that 320 00:18:12,920 --> 00:18:15,560 Speaker 1: means I've been feeling it's hard. It feels important to 321 00:18:15,640 --> 00:18:19,879 Speaker 1: reset the locking out for me, like I have had 322 00:18:19,960 --> 00:18:21,879 Speaker 1: to be like, Okay, I'm owning my own calendar. I 323 00:18:21,880 --> 00:18:25,560 Speaker 1: don't need it to be the first of August or 324 00:18:26,200 --> 00:18:29,680 Speaker 1: the twenty first night of September whatever earth Wind and 325 00:18:29,720 --> 00:18:36,560 Speaker 1: Fire said, Like I start when it's time for me. 326 00:18:36,720 --> 00:18:39,520 Speaker 1: I am claiming the timeline that actually fits my bandwidth. 327 00:18:39,560 --> 00:18:41,480 Speaker 1: You know, like, do I have the energy for this 328 00:18:41,600 --> 00:18:43,480 Speaker 1: right now? I think the other thing I've had to 329 00:18:43,480 --> 00:18:46,880 Speaker 1: do is decide what success looks like for me up front. 330 00:18:46,960 --> 00:18:48,800 Speaker 1: You know. I think for a long time I really 331 00:18:48,840 --> 00:18:51,200 Speaker 1: wanted things to be perfect, and I was like, hey, 332 00:18:52,320 --> 00:18:54,160 Speaker 1: it doesn't have to be perfect. Sometimes it just needs 333 00:18:54,200 --> 00:19:10,520 Speaker 1: to be done. You know, just last night, you sent 334 00:19:10,560 --> 00:19:13,000 Speaker 1: me a yup screenshot of something I see in you 335 00:19:13,040 --> 00:19:16,080 Speaker 1: in twenty sixteen. Right, I'm gonna pull it up. Pull 336 00:19:16,080 --> 00:19:18,159 Speaker 1: it up. Yeah'm gonna pull it up. She sent me 337 00:19:18,200 --> 00:19:22,080 Speaker 1: something on Snapchat. Now that I know people have gone 338 00:19:22,160 --> 00:19:26,040 Speaker 1: chat Snapchat, so enough shay, okay, but I've not been 339 00:19:26,160 --> 00:19:29,880 Speaker 1: on Snapchat since probably twenty sixteen, and so she sent 340 00:19:29,920 --> 00:19:32,960 Speaker 1: this to me and says, we all have a blinking line. 341 00:19:33,080 --> 00:19:35,679 Speaker 1: Your blinking line is whatever sits in front of you 342 00:19:35,720 --> 00:19:38,720 Speaker 1: waiting to be brought into existence. It's the book or 343 00:19:38,880 --> 00:19:41,359 Speaker 1: day or job or business or family or mission or 344 00:19:41,400 --> 00:19:44,840 Speaker 1: class or plan or cause or meeting or task or 345 00:19:44,920 --> 00:19:48,600 Speaker 1: project or challenge or phone call or life that is 346 00:19:48,680 --> 00:19:51,439 Speaker 1: waiting for you to bring it into being. That was 347 00:19:51,480 --> 00:19:53,680 Speaker 1: so timely when you shared it with me again, because 348 00:19:53,680 --> 00:19:55,600 Speaker 1: I was like, hey, you get to choose, you get 349 00:19:55,640 --> 00:19:58,199 Speaker 1: to choose what you're putting your energy towards, and it 350 00:19:58,200 --> 00:19:59,960 Speaker 1: doesn't have to be all those things in that list 351 00:20:00,119 --> 00:20:02,880 Speaker 1: all at the same time, right, And so I've been 352 00:20:03,119 --> 00:20:06,040 Speaker 1: doing a better job of honoring time for recovery. You know, 353 00:20:06,080 --> 00:20:09,000 Speaker 1: before I would pack my schedule, there was no time 354 00:20:09,040 --> 00:20:12,240 Speaker 1: that I was having whiplash, baby, and I'm like, Okay, 355 00:20:12,960 --> 00:20:16,200 Speaker 1: slow down, take a break. These things can wait. And 356 00:20:16,720 --> 00:20:19,960 Speaker 1: I think I've just found that to be incredibly rewarding. 357 00:20:20,320 --> 00:20:22,119 Speaker 1: One of the things I will say, I mentioned it 358 00:20:22,160 --> 00:20:27,160 Speaker 1: a little earlier, getting that sleep is key. Absolutely. Now 359 00:20:27,400 --> 00:20:30,199 Speaker 1: I admire you in that way because you're somebody to 360 00:20:30,240 --> 00:20:32,320 Speaker 1: go to sleep fast. I can go to sleep right now. 361 00:20:33,040 --> 00:20:35,680 Speaker 1: Literally in the middle of this sentence, I could close 362 00:20:35,720 --> 00:20:40,600 Speaker 1: my eyes and be almost right at sleep store. That's 363 00:20:40,600 --> 00:20:44,040 Speaker 1: how quickly it happens. Now, Do I always lay down 364 00:20:44,080 --> 00:20:49,840 Speaker 1: and do that? No, because I also struggle too sometimes. Yeah, 365 00:20:50,080 --> 00:20:53,119 Speaker 1: but we both have to prioritize sleep. There's a recent 366 00:20:53,119 --> 00:20:55,800 Speaker 1: study that just came out of Neurology. It was published Neurology, 367 00:20:55,800 --> 00:20:58,680 Speaker 1: which is the journal for the American Academy for Neurology, 368 00:20:58,720 --> 00:21:02,080 Speaker 1: and it says people with chronic insomnia had a forty 369 00:21:02,119 --> 00:21:07,200 Speaker 1: percent higher risk of developing mild cognitive impairment or dementia. 370 00:21:07,720 --> 00:21:10,040 Speaker 1: So I was, like, chronic insomnia do I have that? 371 00:21:10,160 --> 00:21:12,960 Speaker 1: Chronic insomnia is defined as having trouble sleeping at least 372 00:21:13,000 --> 00:21:16,520 Speaker 1: three days a week for three months or more. Wow, 373 00:21:16,800 --> 00:21:19,600 Speaker 1: ur ring was it was saying girl, you close. You 374 00:21:19,760 --> 00:21:23,119 Speaker 1: used to say girl, you're close. And so in this study, 375 00:21:23,160 --> 00:21:25,879 Speaker 1: they tracked people that were around seventy years old. They 376 00:21:25,920 --> 00:21:28,440 Speaker 1: looked at like twenty eight hundred almost twenty eight hundred people, 377 00:21:28,440 --> 00:21:30,359 Speaker 1: and they monitored them for an average of five and 378 00:21:30,359 --> 00:21:34,720 Speaker 1: a half years. Of the people who had chronic insomnia, 379 00:21:35,080 --> 00:21:37,920 Speaker 1: fourteen percent of them went on to have cognitive issues 380 00:21:38,000 --> 00:21:40,119 Speaker 1: compared to ten percent of the people who didn't have 381 00:21:40,200 --> 00:21:44,000 Speaker 1: chronic insomnia. So that's the forty percent difference they're talking about. Now, 382 00:21:44,920 --> 00:21:46,919 Speaker 1: that's one thing, But the other thing is there was 383 00:21:47,040 --> 00:21:49,800 Speaker 1: just a study from another study that came out from 384 00:21:49,840 --> 00:21:52,200 Speaker 1: the scientists that you see Berkeley, some scientists that you 385 00:21:52,240 --> 00:21:55,160 Speaker 1: see Berkeley, and they were looking at mice and they 386 00:21:55,200 --> 00:21:58,159 Speaker 1: dissected the brains and said that we finally figured out 387 00:21:58,200 --> 00:22:01,800 Speaker 1: the neural circuits or the pathways that happen when you're 388 00:22:01,840 --> 00:22:05,480 Speaker 1: asleep that allow you to release growth hormone. That's you 389 00:22:05,520 --> 00:22:07,000 Speaker 1: know when they say kids need a lot of rest 390 00:22:07,000 --> 00:22:09,199 Speaker 1: and grow, Yes, it's true, but you also need it 391 00:22:09,200 --> 00:22:13,160 Speaker 1: for adult metabolism. So the sleep is important for the kids, 392 00:22:13,160 --> 00:22:17,080 Speaker 1: but parents and big kids like me, it's important for 393 00:22:17,119 --> 00:22:21,639 Speaker 1: you too. I don't want to grow up. I'm a 394 00:22:21,680 --> 00:22:28,479 Speaker 1: toy us kid. Okay. We have to find productive ways 395 00:22:28,520 --> 00:22:32,280 Speaker 1: to get that recovery and wellness because you know, it 396 00:22:32,320 --> 00:22:35,959 Speaker 1: wasn't right. But when things got tough and I felt stressed, 397 00:22:36,000 --> 00:22:39,560 Speaker 1: I used to turn to oysters. And hey man, they've 398 00:22:39,600 --> 00:22:41,760 Speaker 1: taken that away, taken it away from us. Now they 399 00:22:41,920 --> 00:22:46,800 Speaker 1: are so they are finding bacteria in the oysters, like 400 00:22:47,760 --> 00:22:51,280 Speaker 1: deadly bacteria. It's always been bacteria there. But right, I 401 00:22:51,320 --> 00:22:53,240 Speaker 1: need to get my terms right. You see that quickly. 402 00:22:53,280 --> 00:22:58,480 Speaker 1: I'm no longer biologists. There's always bacteria that fast. I'm recovering. 403 00:22:58,480 --> 00:23:01,240 Speaker 1: I'm recovering and recovering. There's always bacteria. But this is 404 00:23:01,359 --> 00:23:07,160 Speaker 1: deadly backteria, bad bacteria, you know, And so that really 405 00:23:07,240 --> 00:23:11,840 Speaker 1: hurts because me and my friend we bond over oysters. 406 00:23:12,240 --> 00:23:14,520 Speaker 1: We love to go to a restaurant and just bring 407 00:23:14,600 --> 00:23:17,119 Speaker 1: us two dozen and my friend will fill out the 408 00:23:17,119 --> 00:23:19,199 Speaker 1: little car and be like two of this, two of this, 409 00:23:19,320 --> 00:23:22,080 Speaker 1: two of this. We'll just get two of everything and 410 00:23:22,160 --> 00:23:26,600 Speaker 1: we just enjoy ourselves laughing. You know, a little cocktail 411 00:23:26,640 --> 00:23:29,560 Speaker 1: on the side. And now I'm now I'm nervous if 412 00:23:29,600 --> 00:23:31,480 Speaker 1: I need to pour a cocktail on the on the 413 00:23:31,560 --> 00:23:37,520 Speaker 1: oyster try and kill something in it. No, No, I'm 414 00:23:37,560 --> 00:23:40,399 Speaker 1: just waiting for it to cool down, okay, where that 415 00:23:40,440 --> 00:23:42,600 Speaker 1: bacteria can't grow as well. And some of this is 416 00:23:42,640 --> 00:23:44,840 Speaker 1: just part of our food systems, Like who is no 417 00:23:44,880 --> 00:23:47,840 Speaker 1: one testing the oysters? We need to bring back Oyster South. 418 00:23:48,119 --> 00:23:51,399 Speaker 1: The folks from that group from the Virginia Marine Science 419 00:23:51,400 --> 00:23:54,240 Speaker 1: Institute that we're doing all these studies on oysters, fund 420 00:23:54,240 --> 00:23:56,919 Speaker 1: them because I need my oysters and I need them 421 00:23:56,960 --> 00:24:00,359 Speaker 1: to be safe. Yes, we need them very badly. I think, 422 00:24:00,800 --> 00:24:03,120 Speaker 1: you know, we could go on and on because there's 423 00:24:03,119 --> 00:24:06,479 Speaker 1: still so much news we haven't talked about. Yes, but 424 00:24:06,640 --> 00:24:10,479 Speaker 1: I'd hope people are feeling like there's a little science 425 00:24:10,520 --> 00:24:12,920 Speaker 1: behind all of you. I want to hear from people. 426 00:24:12,920 --> 00:24:14,960 Speaker 1: What have they been seeing on their timeline? Yeah, I mean, 427 00:24:15,040 --> 00:24:17,639 Speaker 1: because we were just talking about this too. Everybody's internet 428 00:24:17,720 --> 00:24:22,280 Speaker 1: is so different. Somebody looks like this viral body suit 429 00:24:22,359 --> 00:24:26,440 Speaker 1: I said, viral body suit. I have never seen this ever, 430 00:24:26,480 --> 00:24:29,400 Speaker 1: heard of her, never seen this. Hey you look good, girl, 431 00:24:29,760 --> 00:24:32,920 Speaker 1: but this is not viral. But then I realized, Hey, 432 00:24:33,000 --> 00:24:34,639 Speaker 1: viral for you, it's not the same thing as viral 433 00:24:34,640 --> 00:24:36,720 Speaker 1: for me. Like I'm you know what's viral for me? 434 00:24:37,200 --> 00:24:40,440 Speaker 1: Baryl jeans? Okay, I wore some viral jeans the other day. 435 00:24:40,600 --> 00:24:46,800 Speaker 1: YACKI clippings. Hey, don't sleep on a good clipping, all right, 436 00:24:47,080 --> 00:24:50,560 Speaker 1: change your whole mood. Change your mood, change life, change 437 00:24:50,560 --> 00:24:55,280 Speaker 1: your shoes. Change remember, Yes, my for you page is 438 00:24:55,280 --> 00:24:57,720 Speaker 1: all arts and crafts. It's about to be holiday season. 439 00:24:57,800 --> 00:24:59,920 Speaker 1: I can't wait to make Remember I made those a 440 00:25:00,040 --> 00:25:01,919 Speaker 1: Valentine's Day cards that was so sweet. Are you doing 441 00:25:02,000 --> 00:25:04,320 Speaker 1: Christmas cards? I'm ready to make cards, y'all. I'm doing 442 00:25:04,359 --> 00:25:07,959 Speaker 1: holiday cards. Yes, I am ready. Hit me up if 443 00:25:08,000 --> 00:25:10,000 Speaker 1: y'all on a car now. We touched on a little 444 00:25:10,040 --> 00:25:12,120 Speaker 1: bit of neurology this week, but t T tellum what's 445 00:25:12,119 --> 00:25:14,719 Speaker 1: coming up next with Yes, I am so excited because 446 00:25:14,760 --> 00:25:18,679 Speaker 1: in our science communication episode, we had a very phenomenal 447 00:25:19,200 --> 00:25:24,720 Speaker 1: neuroscience PhD student named Lindsey Edgoe, and she is coming 448 00:25:25,000 --> 00:25:27,200 Speaker 1: back to the show to talk about all the work 449 00:25:27,280 --> 00:25:30,399 Speaker 1: she does in the neuro science space and what her 450 00:25:30,400 --> 00:25:35,760 Speaker 1: research focuses on is pain and how our brains process 451 00:25:35,880 --> 00:25:38,639 Speaker 1: pain and things like that. So I am very very 452 00:25:38,720 --> 00:25:41,680 Speaker 1: excited for y'all to listen to this. Yes, it's gonna 453 00:25:41,720 --> 00:25:51,520 Speaker 1: be fun. All right, We're gonna see 'all this week. 454 00:25:52,200 --> 00:25:55,040 Speaker 1: You can find us on X and Instagram at Dope 455 00:25:55,160 --> 00:25:58,679 Speaker 1: Labs podcast, tt is on X and Instagram at dr 456 00:25:58,840 --> 00:26:03,080 Speaker 1: Underscore TSA, and you can find Zakiya at Ze said so. 457 00:26:03,520 --> 00:26:06,639 Speaker 1: Dope Labs is a production of Lamanada Media. Our supervising 458 00:26:06,680 --> 00:26:11,000 Speaker 1: producer is Keegan Zimma and our producer is Issara Acevez. 459 00:26:11,440 --> 00:26:15,159 Speaker 1: Dope Labs is sound designed, edited and mixed by James Farber. 460 00:26:15,840 --> 00:26:20,040 Speaker 1: Limanada Media's Vice President of Partnerships and Production is Jackie Danziger. 461 00:26:20,720 --> 00:26:24,840 Speaker 1: Executive producer from iHeart podcast is Katrina Norvil. Marketing lead 462 00:26:25,040 --> 00:26:29,399 Speaker 1: is Alison Canter. Original music composed and produced by Taka 463 00:26:29,480 --> 00:26:34,520 Speaker 1: Yasuzawa and Alex sugi Ura, with additional music by Elijah Harvey. 464 00:26:35,359 --> 00:26:38,760 Speaker 1: Dope Labs is executive produced by us T T show 465 00:26:38,840 --> 00:26:40,440 Speaker 1: Dia and Zakiah Wattleia