1 00:00:03,680 --> 00:00:10,000 Speaker 1: I'm TT and I'm Zakiyah, and this is Dope Labs. 2 00:00:11,360 --> 00:00:14,600 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 00:00:22,840 --> 00:00:25,079 Speaker 1: You know, people are always saying, how do you and 5 00:00:25,160 --> 00:00:28,080 Speaker 1: TT pick what you're gonna talk about on Dope Labs. Yeah, 6 00:00:28,120 --> 00:00:31,720 Speaker 1: I'm like, uh, that's not a problem. It is never 7 00:00:32,120 --> 00:00:35,680 Speaker 1: a problem for us. Yeah, there's so much to talk about, yeah, 8 00:00:35,800 --> 00:00:38,240 Speaker 1: all the time. I mean, as much news as there's 9 00:00:38,240 --> 00:00:41,280 Speaker 1: coming in. We always come with topics, and you guys 10 00:00:41,360 --> 00:00:44,760 Speaker 1: are sending stuff in our dms, in our emails, some 11 00:00:44,800 --> 00:00:47,680 Speaker 1: of y'all are responding to the newsletter. Yes, that's my 12 00:00:47,720 --> 00:00:50,280 Speaker 1: favorite when people respond to the newsletter. Yes, but some 13 00:00:50,360 --> 00:00:53,920 Speaker 1: of the topics are really really good, but we don't 14 00:00:53,960 --> 00:00:56,600 Speaker 1: have time to get to them, or they're not big 15 00:00:56,720 --> 00:00:59,120 Speaker 1: enough to put in a full episode, or we can't 16 00:00:59,120 --> 00:01:01,680 Speaker 1: find a scientist into for like when it's relevant, you know, 17 00:01:02,320 --> 00:01:04,520 Speaker 1: and then to get the episode produced before we're on 18 00:01:04,560 --> 00:01:07,360 Speaker 1: to the next thing. That's straight. That's right, Well, guess what. 19 00:01:07,959 --> 00:01:10,200 Speaker 1: Now we're gonna just address everything we've been wanting to 20 00:01:10,200 --> 00:01:11,880 Speaker 1: talk about, even if we want to talk about it 21 00:01:11,920 --> 00:01:14,679 Speaker 1: just a little bit. Yes, a grab bag if you will. 22 00:01:14,800 --> 00:01:17,000 Speaker 1: Uh huh. Let's start with the first thing that we 23 00:01:17,000 --> 00:01:20,200 Speaker 1: got a message about, and that was the filibuster. Oh 24 00:01:20,200 --> 00:01:25,319 Speaker 1: my gosh. Okay, So Senator Corey Booker recently made history. 25 00:01:25,360 --> 00:01:28,440 Speaker 1: He shattered the record that stood since nineteen fifty seven 26 00:01:29,160 --> 00:01:33,280 Speaker 1: by doing a filibuster for twenty five hours straight on 27 00:01:33,360 --> 00:01:38,600 Speaker 1: the Senate floor, no breaks, no naps, no bathroom breaks. 28 00:01:39,080 --> 00:01:43,200 Speaker 1: Isn't that crazy? I'm not that committed. I mean, in 29 00:01:43,240 --> 00:01:45,680 Speaker 1: my spirit, I feel that I committed my spirit. Yes, 30 00:01:45,880 --> 00:01:48,920 Speaker 1: when it's time to do it, I don't think I'm 31 00:01:49,120 --> 00:01:51,720 Speaker 1: able to do it before him. The last person to 32 00:01:51,840 --> 00:01:54,200 Speaker 1: have a really long filibuster, So, the last person to 33 00:01:54,200 --> 00:01:57,320 Speaker 1: hold the record was Strom Thurman with twenty four hours 34 00:01:57,320 --> 00:02:01,400 Speaker 1: back in nineteen fifty seven. And he was trying to 35 00:02:01,520 --> 00:02:04,600 Speaker 1: block the Civil Rights Act back in nineteen fifty seven. 36 00:02:04,640 --> 00:02:07,440 Speaker 1: For his twenty four hour filibuster. Yeah, so what Senator 37 00:02:07,480 --> 00:02:11,600 Speaker 1: Corey Booker did is historic, and it's historic for I 38 00:02:11,639 --> 00:02:14,000 Speaker 1: think two big reasons. One, he was talking about these 39 00:02:14,040 --> 00:02:18,720 Speaker 1: really controversial executive orders that have been coming out rapid fire. 40 00:02:19,520 --> 00:02:23,000 Speaker 1: And I think that the other really important thing is 41 00:02:23,040 --> 00:02:26,640 Speaker 1: to dethrone someone like Strom Thurman who was doing a 42 00:02:26,639 --> 00:02:31,079 Speaker 1: filibuster to block civil rights and having a black man 43 00:02:31,160 --> 00:02:33,360 Speaker 1: stand up there and do it, it really sends a 44 00:02:33,400 --> 00:02:37,600 Speaker 1: message that not only are we fed up with what's 45 00:02:37,639 --> 00:02:41,080 Speaker 1: going on in the government, but we are no longer 46 00:02:41,120 --> 00:02:45,280 Speaker 1: going to allow people who were holding folks back and 47 00:02:45,360 --> 00:02:47,760 Speaker 1: trying to restrict their rights were no longer giving them 48 00:02:47,800 --> 00:02:51,160 Speaker 1: a place to shine. I think the politics are important, 49 00:02:51,200 --> 00:02:54,120 Speaker 1: and I've got some ideas about how we could change 50 00:02:54,120 --> 00:02:56,160 Speaker 1: some of the things we're getting the ways things are 51 00:02:56,200 --> 00:02:58,280 Speaker 1: getting done in politics. I don't think you have to 52 00:02:58,480 --> 00:03:00,760 Speaker 1: have to stand up for twenty five hours to make point, right. 53 00:03:00,960 --> 00:03:05,440 Speaker 1: But when we were first looking at this, I was like, biologically, 54 00:03:05,480 --> 00:03:08,880 Speaker 1: what's happening there? Because there are things we have talked 55 00:03:08,919 --> 00:03:11,800 Speaker 1: about in other episodes. I won't get into circadian rhythms 56 00:03:11,919 --> 00:03:14,359 Speaker 1: and what our bodies need and what kind of stress 57 00:03:14,400 --> 00:03:17,040 Speaker 1: we experience when we don't sleep, let alone stand and 58 00:03:17,200 --> 00:03:20,120 Speaker 1: speak coherently. You know, I was thinking, like, how did 59 00:03:20,200 --> 00:03:22,920 Speaker 1: he not pee for that long? It's mind boggling. And 60 00:03:22,960 --> 00:03:26,680 Speaker 1: at the very end of his filibuster he was saying, 61 00:03:26,720 --> 00:03:29,640 Speaker 1: you know, nature is calling, and that would have happened 62 00:03:29,720 --> 00:03:33,640 Speaker 1: twenty five minutes twenty five minutes. I would have been like, 63 00:03:33,760 --> 00:03:36,160 Speaker 1: I need a restroom break, and everyone would have been 64 00:03:36,240 --> 00:03:39,720 Speaker 1: upset with me. Well, you would not have made it 65 00:03:39,720 --> 00:03:43,040 Speaker 1: into the history books now, and that's at your age. 66 00:03:43,320 --> 00:03:45,880 Speaker 1: And Corey Booker is not a spring chicken. I'm not 67 00:03:45,920 --> 00:03:50,200 Speaker 1: saying he's all, but he's just not a young man. 68 00:03:50,960 --> 00:03:54,400 Speaker 1: Bladder discipline looks different over time. You know, I'm not 69 00:03:54,440 --> 00:03:57,400 Speaker 1: gonna be we won't get into it, but that's about 70 00:03:57,480 --> 00:04:01,040 Speaker 1: five hundred milliliters all have to be carrying over twenty 71 00:04:01,040 --> 00:04:04,120 Speaker 1: five hours. I don't resist, but I think my body 72 00:04:04,120 --> 00:04:10,440 Speaker 1: would be resisting too. Whoa. I mean. I heard that 73 00:04:10,520 --> 00:04:13,760 Speaker 1: some folks that do these really long filibusters that they 74 00:04:14,120 --> 00:04:18,000 Speaker 1: use adult diapers, they dehydrate themselves, like get into a 75 00:04:18,040 --> 00:04:21,400 Speaker 1: steam room to like sweat out all the liquid. I 76 00:04:21,400 --> 00:04:24,280 Speaker 1: don't know what Corey Booker did to prepare. He said 77 00:04:24,279 --> 00:04:27,760 Speaker 1: he dehydrated himself, and I don't know what his doctor 78 00:04:27,800 --> 00:04:30,279 Speaker 1: feels about that, but I'm sure he is making a 79 00:04:30,320 --> 00:04:33,599 Speaker 1: doctor's appointment very very soon. We're all proud of you, 80 00:04:33,640 --> 00:04:39,520 Speaker 1: Corey Booker, so proud, so proud, and of that bladder. Now, 81 00:04:39,600 --> 00:04:42,200 Speaker 1: Corey Booker is a politician making a stand. And now 82 00:04:42,279 --> 00:04:45,920 Speaker 1: we're seeing somebody who's made some political stands, kind of backtracking. 83 00:04:46,080 --> 00:04:50,000 Speaker 1: Have you seen the latest Chapelone interview? Yes, Chaperone. She's 84 00:04:50,080 --> 00:04:55,080 Speaker 1: been doing podcasts and interviews with magazines and she's basically like, 85 00:04:56,160 --> 00:04:57,760 Speaker 1: leave me out of it. I'm just a pop star. 86 00:04:57,880 --> 00:05:00,320 Speaker 1: But then also we'll turn around and get up on 87 00:05:00,320 --> 00:05:02,800 Speaker 1: a stage to accept an award and say here's my 88 00:05:02,880 --> 00:05:07,680 Speaker 1: political thought. So I'm not really sure how you can 89 00:05:07,720 --> 00:05:10,560 Speaker 1: do both. But she got a lot of backlash from 90 00:05:10,680 --> 00:05:13,640 Speaker 1: a recent interview that she did on Call Her Daddy, 91 00:05:14,200 --> 00:05:18,200 Speaker 1: And in that interview, she talked about being a parent, 92 00:05:18,600 --> 00:05:22,039 Speaker 1: and she said, all of my friends who have kids 93 00:05:22,120 --> 00:05:24,880 Speaker 1: are in hell, and I actually don't know anyone who's 94 00:05:24,960 --> 00:05:28,280 Speaker 1: happy and has children at this age. I've literally not 95 00:05:28,400 --> 00:05:31,680 Speaker 1: met anyone who's happy, anyone who has light in their eyes, 96 00:05:31,760 --> 00:05:35,120 Speaker 1: anyone who has slept. And it started this whole big 97 00:05:35,120 --> 00:05:37,480 Speaker 1: thing on the internet because some people were feeling a 98 00:05:37,520 --> 00:05:41,719 Speaker 1: little bit triggered by these statements and really upset about 99 00:05:41,720 --> 00:05:44,400 Speaker 1: what she was saying, like, oh, it's not possible to 100 00:05:44,440 --> 00:05:46,800 Speaker 1: be happy if you have kids. But then on the 101 00:05:46,800 --> 00:05:49,720 Speaker 1: flip side, some folks felt like, you know, maybe there's 102 00:05:49,720 --> 00:05:52,039 Speaker 1: a little bit of truth, and she's saying the quiet 103 00:05:52,040 --> 00:05:55,159 Speaker 1: part out loud. Well, I'm not a parent, so I 104 00:05:55,240 --> 00:05:59,920 Speaker 1: look to you, neighbor. Did she lie? She did not lie? Okay, 105 00:06:00,279 --> 00:06:04,840 Speaker 1: I'm sorry, I'm sorry. Okay. I think two things can 106 00:06:04,880 --> 00:06:08,159 Speaker 1: be true at the same time. You can absolutely love 107 00:06:08,520 --> 00:06:13,280 Speaker 1: and adore your kids. You can love being a parent, right, 108 00:06:13,320 --> 00:06:16,720 Speaker 1: then you can also be tired as hell, like you 109 00:06:16,839 --> 00:06:22,440 Speaker 1: can be just wrecked because of what it takes to 110 00:06:22,600 --> 00:06:24,640 Speaker 1: be a parent. You've seen Tyson in the background of 111 00:06:24,680 --> 00:06:28,680 Speaker 1: my videos. That little boy is always on go and 112 00:06:28,839 --> 00:06:32,400 Speaker 1: he does not care if I'm tired. That's right, because 113 00:06:32,400 --> 00:06:36,640 Speaker 1: he's his mama's son. Okay, that's what I know. That's 114 00:06:36,760 --> 00:06:39,240 Speaker 1: what I know. Oh my goodness. But you know what, 115 00:06:39,360 --> 00:06:43,560 Speaker 1: this also makes me think of what last year the 116 00:06:43,640 --> 00:06:47,600 Speaker 1: former US Surgeon General, THEVEC Murphy, he came out with 117 00:06:47,800 --> 00:06:52,440 Speaker 1: a health advisory about how being a parent can affect 118 00:06:52,600 --> 00:06:56,600 Speaker 1: your mental health. I believe it just being alive can 119 00:06:56,600 --> 00:06:59,479 Speaker 1: affect your mental health, right, taking care of somebody else 120 00:06:59,520 --> 00:07:01,919 Speaker 1: on top, right, because and it wasn't just parents like 121 00:07:01,920 --> 00:07:06,000 Speaker 1: you're saying, it's also caregivers. And in this study, it 122 00:07:06,160 --> 00:07:10,480 Speaker 1: highlighted that stress levels for parents were really high compared 123 00:07:10,520 --> 00:07:14,200 Speaker 1: to adults who don't have children, So high for parents 124 00:07:14,200 --> 00:07:18,040 Speaker 1: and caregivers compared to adults that don't have children. So 125 00:07:18,120 --> 00:07:20,800 Speaker 1: they said that thirty three percent of parents reported high 126 00:07:20,800 --> 00:07:26,200 Speaker 1: stress levels in a month, compared to twenty percent of adults. Additionally, 127 00:07:26,320 --> 00:07:31,640 Speaker 1: forty eight percent of parents felt overwhelmingly stressed most days 128 00:07:32,080 --> 00:07:35,960 Speaker 1: versus twenty six percent of other adults that don't have kids. 129 00:07:37,280 --> 00:07:40,560 Speaker 1: I mean, I just think anybody that's taking care of 130 00:07:40,600 --> 00:07:43,760 Speaker 1: themselves and somebody else any kind of responsibility, that is 131 00:07:43,800 --> 00:07:46,640 Speaker 1: a lot to keep up with, because not only are 132 00:07:46,720 --> 00:07:49,080 Speaker 1: you looking at what's happening in the world, but what's 133 00:07:49,080 --> 00:07:52,200 Speaker 1: happening with my child or loved one right now? What 134 00:07:52,200 --> 00:07:55,000 Speaker 1: does this mean for their future? Even thinking about the 135 00:07:55,080 --> 00:07:58,840 Speaker 1: economy and the financial strength, time constraints, like all of it. 136 00:07:59,680 --> 00:08:02,160 Speaker 1: You know, our parents didn't have to worry about all 137 00:08:02,160 --> 00:08:05,440 Speaker 1: this technology, right social media? What are they doing on 138 00:08:05,440 --> 00:08:12,960 Speaker 1: the computer? I was playing Maybus Beacon teachers typing. Although 139 00:08:13,920 --> 00:08:15,920 Speaker 1: we were doing a little, I was doing too much 140 00:08:15,960 --> 00:08:20,000 Speaker 1: on Black Planet. I I was coding on Black Planet. Honey, 141 00:08:20,080 --> 00:08:26,200 Speaker 1: HTML was hex cos you didn't tell me you Matrix. 142 00:08:28,520 --> 00:08:30,520 Speaker 1: It was so much fun. I was in all these 143 00:08:30,600 --> 00:08:34,880 Speaker 1: Nickelodeon chat rooms talking about rug Rats and stuff like that. 144 00:08:34,960 --> 00:08:38,360 Speaker 1: It was fun, and yeah, that was fun. Internet Now 145 00:08:38,360 --> 00:08:41,240 Speaker 1: you got to worry about if somebody's activating your child's 146 00:08:41,559 --> 00:08:45,640 Speaker 1: webcam in their bedrooms or whatever else. And you also 147 00:08:45,679 --> 00:08:48,520 Speaker 1: have to worry just about the peer pressure and the 148 00:08:48,600 --> 00:08:52,320 Speaker 1: pressure to keep up with other people who are showing 149 00:08:52,400 --> 00:08:54,400 Speaker 1: only the best parts of themselves. These are things that 150 00:08:54,440 --> 00:08:57,200 Speaker 1: adults fall victim too. But now kids have social media, 151 00:08:57,240 --> 00:08:58,960 Speaker 1: they have the ability to be on social media, so 152 00:08:59,040 --> 00:09:01,520 Speaker 1: that's also something you have to think about. And then 153 00:09:01,840 --> 00:09:03,720 Speaker 1: on top of all that, you have to be able 154 00:09:03,760 --> 00:09:06,959 Speaker 1: to future cast but then also be present in your child, 155 00:09:07,480 --> 00:09:08,960 Speaker 1: like do you know what I mean? Like you have 156 00:09:09,000 --> 00:09:10,400 Speaker 1: to be present, but you also have to think of 157 00:09:10,400 --> 00:09:13,680 Speaker 1: the future. And the fact that the former US Surgeon 158 00:09:13,760 --> 00:09:17,160 Speaker 1: General had to put out a health advisory about this 159 00:09:17,559 --> 00:09:20,679 Speaker 1: as a real health concern, let you know that this 160 00:09:20,800 --> 00:09:24,880 Speaker 1: is a real talk. And some of the recommendations that 161 00:09:24,960 --> 00:09:28,640 Speaker 1: he had was that policymakers should be putting things in 162 00:09:28,679 --> 00:09:33,199 Speaker 1: place to have family support programs and implement national paid 163 00:09:33,240 --> 00:09:37,040 Speaker 1: family leave and medical leave, and also to have more 164 00:09:37,040 --> 00:09:42,560 Speaker 1: community so encouraging parents and caregivers to band together use 165 00:09:42,920 --> 00:09:46,360 Speaker 1: the village mentality to help them with raising their child 166 00:09:46,559 --> 00:09:50,520 Speaker 1: or caring for a loved one and really lean into 167 00:09:50,559 --> 00:09:54,960 Speaker 1: that to help alleviate some of this stress. You know. Basically, 168 00:09:55,040 --> 00:09:58,000 Speaker 1: the Surgeon General said, you should let me help you 169 00:09:58,080 --> 00:10:03,440 Speaker 1: raise your child, basically. And I think the Surgeon General 170 00:10:03,520 --> 00:10:07,120 Speaker 1: is making some great points, but I do have to say, now, 171 00:10:07,559 --> 00:10:11,240 Speaker 1: this doesn't feel like the same Surgeon General growing up, Okay, 172 00:10:11,679 --> 00:10:18,320 Speaker 1: because they're talking about village mentality and you know, stress 173 00:10:18,400 --> 00:10:21,520 Speaker 1: and overload. I feel like the Surgeon General's recommendations back 174 00:10:21,559 --> 00:10:24,360 Speaker 1: then were like don't smoke tobacco or cigarettes, and don't drink, 175 00:10:24,520 --> 00:10:27,200 Speaker 1: but only don't drink if you're pregnant, right, everybody else 176 00:10:27,320 --> 00:10:31,040 Speaker 1: have a drink, Okay, wacky Tobacci. We are old enough 177 00:10:31,280 --> 00:10:36,199 Speaker 1: to remember when secondhand smoke became like a thing where 178 00:10:36,200 --> 00:10:38,720 Speaker 1: they were like, oh, you know, secondhand smoke can also 179 00:10:39,400 --> 00:10:42,760 Speaker 1: be a problem. I'm like, this is crazy. Now it's 180 00:10:42,840 --> 00:10:44,719 Speaker 1: like mental health and all these things like that, and 181 00:10:44,800 --> 00:10:46,720 Speaker 1: I'm just like, this is so good. I'm so glad 182 00:10:46,760 --> 00:10:50,520 Speaker 1: that these resources are available to fun. Yeah. Yeah, because 183 00:10:50,559 --> 00:10:53,080 Speaker 1: even before I think just two years back, the Surgeon 184 00:10:53,120 --> 00:10:56,200 Speaker 1: General was talking about friendship and loneliness, like being able 185 00:10:56,200 --> 00:10:59,800 Speaker 1: to get with men. Yes, yes, and so I mean, 186 00:11:00,000 --> 00:11:02,320 Speaker 1: thank you to the Surgeon General. But also I've had enough, 187 00:11:02,400 --> 00:11:04,680 Speaker 1: Like you're putting too much on my plate. You know, 188 00:11:05,120 --> 00:11:07,480 Speaker 1: I'm dealing with Okay, So I'm trying to exercise, I'm 189 00:11:07,480 --> 00:11:10,720 Speaker 1: trying to eat right. I'm trying to uh have a 190 00:11:10,800 --> 00:11:13,680 Speaker 1: village mentality because I don't care what anybody says. If 191 00:11:13,679 --> 00:11:15,720 Speaker 1: you're an only child and your parents are still around, 192 00:11:16,000 --> 00:11:19,640 Speaker 1: you are a caregiver. And so I'm feeling those same stresses. 193 00:11:19,679 --> 00:11:24,520 Speaker 1: It's just like having a toddler. Don't let my parents here. 194 00:11:38,960 --> 00:11:42,920 Speaker 1: I do think that, like there's all this stuff going on. 195 00:11:42,960 --> 00:11:44,720 Speaker 1: And then also I gotta remember take my Zyrtec every 196 00:11:44,800 --> 00:11:50,480 Speaker 1: day because the pollen, the polling, help me, it's every 197 00:11:50,480 --> 00:11:53,320 Speaker 1: con it's too much. I was at Low's the other 198 00:11:53,400 --> 00:11:56,160 Speaker 1: day trying to get the highest parts per million filter 199 00:11:56,760 --> 00:11:59,360 Speaker 1: I could find. I said, make it enough, please? Did 200 00:11:59,360 --> 00:12:02,839 Speaker 1: you find it? It's I bought the best one money 201 00:12:02,840 --> 00:12:05,880 Speaker 1: could buy. Okayerfect, I'm so happy for you, friend. I 202 00:12:05,960 --> 00:12:08,360 Speaker 1: got to remember to change my air filters. I mean, 203 00:12:08,400 --> 00:12:10,920 Speaker 1: it's like you can't escape it. The itchy eyes, the 204 00:12:11,000 --> 00:12:14,560 Speaker 1: running nose. I've been using my inhaler because my asthma 205 00:12:14,600 --> 00:12:16,680 Speaker 1: has been getting tripped up because of all the pollen. 206 00:12:17,480 --> 00:12:20,560 Speaker 1: I have my allergy medication on deck. I feel like 207 00:12:20,600 --> 00:12:22,559 Speaker 1: I have to take it every day just to survive. 208 00:12:23,040 --> 00:12:27,120 Speaker 1: My combo is a Zertec first thing in the morning, okay, 209 00:12:27,320 --> 00:12:29,360 Speaker 1: because if I press snooze on my alarm, my throat, 210 00:12:29,400 --> 00:12:33,559 Speaker 1: sorry chip, It's like the pollen is your alarm clock. Yes, 211 00:12:34,040 --> 00:12:35,920 Speaker 1: get up and take a peal and then I'm doing 212 00:12:36,000 --> 00:12:39,920 Speaker 1: naser cord. Okay, Like those are my things. But I 213 00:12:39,960 --> 00:12:41,679 Speaker 1: know a lot of people are taking allergy medicine right 214 00:12:41,679 --> 00:12:43,839 Speaker 1: now because there's just so much pollen. And I think 215 00:12:43,880 --> 00:12:46,440 Speaker 1: I sent you something about that pollen cloud. Yes, that 216 00:12:46,679 --> 00:12:49,640 Speaker 1: was where people are showing all that pollen everywhere. It's 217 00:12:49,679 --> 00:12:53,040 Speaker 1: like a Pallen tornado. It's crazy. But I got some 218 00:12:53,120 --> 00:12:55,360 Speaker 1: bad news, well not bad, but something to just be 219 00:12:55,400 --> 00:12:58,280 Speaker 1: thinking about. Oh no, there were some recent studies that 220 00:12:58,360 --> 00:13:01,720 Speaker 1: looked at whether certain types of allergy medicines, particularly diaphen 221 00:13:01,800 --> 00:13:07,080 Speaker 1: hydromenes like benadryl, whether they might be linked to a 222 00:13:07,200 --> 00:13:11,480 Speaker 1: higher risk of developing dementia later on. Wow, So they're 223 00:13:11,480 --> 00:13:15,640 Speaker 1: looking at first generation antihistamines and they're saying Okay. The 224 00:13:15,720 --> 00:13:18,000 Speaker 1: reason this might be happening, or the reason we might 225 00:13:18,000 --> 00:13:19,800 Speaker 1: even see this type of effect at all, is because 226 00:13:19,840 --> 00:13:24,760 Speaker 1: first generation allergy medicines they block acetylcholine, and that's something 227 00:13:24,800 --> 00:13:26,760 Speaker 1: that's a chemical in the brain that's super important for 228 00:13:26,840 --> 00:13:30,240 Speaker 1: memory and learning. Now, I gotta be careful there, because 229 00:13:30,520 --> 00:13:32,800 Speaker 1: these meds and the use of these well not even 230 00:13:32,880 --> 00:13:35,280 Speaker 1: just these myths. The use of these meds are associated 231 00:13:35,320 --> 00:13:38,560 Speaker 1: with dementia, but that does not mean that they cause it. 232 00:13:38,840 --> 00:13:41,040 Speaker 1: And I feel like that's something that we often see 233 00:13:41,080 --> 00:13:44,600 Speaker 1: getting overlooked or misconstrued, and so when people share stories, 234 00:13:44,640 --> 00:13:46,000 Speaker 1: they tend to miss this. I want to make sure 235 00:13:46,000 --> 00:13:49,800 Speaker 1: we say very clearly, correlation does not equal causation. So 236 00:13:49,840 --> 00:13:53,200 Speaker 1: when we say there's a correlation, and you know that 237 00:13:53,280 --> 00:13:55,360 Speaker 1: means two things are happening together more often than we 238 00:13:55,400 --> 00:13:59,079 Speaker 1: expect by chance, there's a strong correlation between eatn ice 239 00:13:59,120 --> 00:14:02,520 Speaker 1: cream and getting unburnt, Okay, that doesn't mean ice cream 240 00:14:02,559 --> 00:14:05,200 Speaker 1: causes sun burned, right, That's we don't have the causation there. 241 00:14:05,240 --> 00:14:07,559 Speaker 1: Like the real factor there is the summertime baby, Okay. 242 00:14:07,640 --> 00:14:10,280 Speaker 1: And so I think they're still trying to figure out 243 00:14:10,320 --> 00:14:13,079 Speaker 1: what the allergy is and dementia correlation. They're trying to 244 00:14:13,080 --> 00:14:17,000 Speaker 1: figure out, you know, what's what's tying that the good news? 245 00:14:17,000 --> 00:14:21,280 Speaker 1: Though you're giving me good news, there's there are plenty 246 00:14:21,760 --> 00:14:25,240 Speaker 1: of second generation antihistamines that you know, don't easily cross 247 00:14:25,240 --> 00:14:27,640 Speaker 1: the blood brain barrier and don't work against the cetocline, 248 00:14:27,680 --> 00:14:30,080 Speaker 1: so they have fewer side effects. Like my girls are tech. 249 00:14:31,880 --> 00:14:35,520 Speaker 1: I am a clariton girl. Honey, mmm, see this. The's 250 00:14:35,520 --> 00:14:40,000 Speaker 1: got to stick together their tech for Zekiah. So that is, 251 00:14:40,840 --> 00:14:42,920 Speaker 1: it's not bad news unless you are taking a bit 252 00:14:42,920 --> 00:14:44,200 Speaker 1: of drill every night. And if you're I don't even 253 00:14:44,200 --> 00:14:48,280 Speaker 1: know how you're operating daily. Anyway, I'm so drowsy after honestly, 254 00:14:48,520 --> 00:14:51,440 Speaker 1: I take a Beta jo, I'm asleep for the next week. Okay, 255 00:14:51,840 --> 00:14:56,800 Speaker 1: that stuff is strong. Out of office, I feel like 256 00:14:58,000 --> 00:15:00,840 Speaker 1: pollen is always my big allergy. But I also think 257 00:15:00,840 --> 00:15:04,160 Speaker 1: about people who are allergic to like animals, so like 258 00:15:04,280 --> 00:15:08,200 Speaker 1: pets and things like that. Yeah, I can't imagine being 259 00:15:08,240 --> 00:15:11,120 Speaker 1: allergic to pets. I mean, you know, I have my 260 00:15:11,200 --> 00:15:15,360 Speaker 1: dog Daisy. Yes, she's getting old and stressing me out. 261 00:15:15,800 --> 00:15:20,640 Speaker 1: I could not handle more stress from that. You know, 262 00:15:20,960 --> 00:15:24,240 Speaker 1: I think maybe that's exactly what maybe that's the stress 263 00:15:24,240 --> 00:15:26,120 Speaker 1: you get is balanced out because you know, people are 264 00:15:26,120 --> 00:15:28,160 Speaker 1: saying it's good to have pets, like it's good for you, 265 00:15:28,240 --> 00:15:30,760 Speaker 1: good for you mentally. Absolutely, I've seen studies like that 266 00:15:30,760 --> 00:15:33,800 Speaker 1: that said that people who have pets, you know, have 267 00:15:34,360 --> 00:15:38,280 Speaker 1: less stress, less anxiety, and there's even been a few 268 00:15:38,760 --> 00:15:41,240 Speaker 1: early studies that say that people with pets live longer. 269 00:15:42,560 --> 00:15:45,480 Speaker 1: Now that's an interesting case because my parents didn't let 270 00:15:45,520 --> 00:15:48,760 Speaker 1: me happen, and so you know, these parents are against us. 271 00:15:49,520 --> 00:15:52,840 Speaker 1: I will have to take that information back because I 272 00:15:52,840 --> 00:15:54,960 Speaker 1: didn't grow up with pets. Though you know, it makes 273 00:15:55,000 --> 00:15:58,280 Speaker 1: me such a lover of all my friends pets like 274 00:15:58,280 --> 00:16:03,440 Speaker 1: your Chihuahwah Daisy. Yes, And I think at this big age, 275 00:16:03,560 --> 00:16:05,600 Speaker 1: the way that shows up my love for pets is 276 00:16:05,680 --> 00:16:10,080 Speaker 1: watching non stop had videos like I'm watching the poodles 277 00:16:10,080 --> 00:16:12,800 Speaker 1: with attitudes, the huskies that are growling in barker back. 278 00:16:13,000 --> 00:16:15,720 Speaker 1: Oh my girl. I love watching all the videos. And 279 00:16:16,040 --> 00:16:18,280 Speaker 1: before you jump on me, I feel like Daisy has 280 00:16:18,280 --> 00:16:20,240 Speaker 1: personality just the first dog I knew that could make 281 00:16:20,280 --> 00:16:25,680 Speaker 1: the b sound. Excuse most dogs they woof and how 282 00:16:25,800 --> 00:16:28,480 Speaker 1: but they don't use their lips to make the meat. 283 00:16:28,520 --> 00:16:33,360 Speaker 1: And Daisy chim I know to do that, and I 284 00:16:33,400 --> 00:16:35,040 Speaker 1: feel like I have a lot in common with the 285 00:16:35,080 --> 00:16:38,000 Speaker 1: creators online, like Tony Baker and Super Ray fourteen. When 286 00:16:38,000 --> 00:16:40,400 Speaker 1: they're doing those voiceovers, I'm like, yes, give me the 287 00:16:40,400 --> 00:16:43,160 Speaker 1: personality of these animals. What are they thinking? You know 288 00:16:43,600 --> 00:16:46,240 Speaker 1: what's going on? Do you not watch these people on it? No? 289 00:16:46,320 --> 00:16:48,760 Speaker 1: Not really No, I've seen a few of them, but 290 00:16:48,920 --> 00:16:51,520 Speaker 1: I don't really watch them consistently. Do you think? What 291 00:16:51,560 --> 00:16:53,560 Speaker 1: do you think? Days sounds like I have a voice 292 00:16:53,560 --> 00:16:56,680 Speaker 1: that I used to imitate Daisy. What's your voice for Daisy? 293 00:16:56,920 --> 00:16:59,520 Speaker 1: Because Daisy I know her so well. I know she's 294 00:16:59,520 --> 00:17:02,760 Speaker 1: not smart, she has a whole backstory and everything. So 295 00:17:03,200 --> 00:17:05,040 Speaker 1: my Daisy voice I have to like close my eyes 296 00:17:05,040 --> 00:17:06,479 Speaker 1: because I can't even look at you and do it. 297 00:17:07,160 --> 00:17:13,080 Speaker 1: It's like DZ does like foods. DZI was in your 298 00:17:13,119 --> 00:17:18,440 Speaker 1: foods on used plate. GESZ doesn't want Diz's food. It's 299 00:17:18,480 --> 00:17:25,639 Speaker 1: not good. That's wild. First of all, Daisy Southern in 300 00:17:25,720 --> 00:17:32,480 Speaker 1: my books. And maybe because I'm thinking about Daisy, Duke's Okay, 301 00:17:34,119 --> 00:17:36,080 Speaker 1: that's all wrong. I know that's your dogs, so you 302 00:17:36,080 --> 00:17:38,720 Speaker 1: can have your own voice, but I think it's wrong. Okay, 303 00:17:38,800 --> 00:17:41,359 Speaker 1: But all of these things like with these voiceovers, it 304 00:17:41,440 --> 00:17:44,240 Speaker 1: makes me wonder like do animals have feelings? Like are 305 00:17:44,280 --> 00:17:47,360 Speaker 1: we is it just anthropomorphism? Are we assigning these values? 306 00:17:48,160 --> 00:17:51,920 Speaker 1: Or is there more than what we think is going on? 307 00:17:52,040 --> 00:17:55,200 Speaker 1: Like do they actually have feelings? And if they're using 308 00:17:55,200 --> 00:17:57,080 Speaker 1: those buttons, do they really know what's happening? Is it 309 00:17:57,119 --> 00:17:59,720 Speaker 1: because they're trying to tell us something? You know, when 310 00:17:59,760 --> 00:18:02,919 Speaker 1: I had Daisy, When I first got Daisy and I 311 00:18:02,960 --> 00:18:06,080 Speaker 1: was back in Durham and grad school with you, I 312 00:18:06,119 --> 00:18:09,480 Speaker 1: would leave her in my apartment to go to campus 313 00:18:09,520 --> 00:18:12,560 Speaker 1: to educate myself, and I would get back and she 314 00:18:12,640 --> 00:18:15,359 Speaker 1: would flip her She would have flipped her water bowl 315 00:18:15,400 --> 00:18:18,119 Speaker 1: over and I would come back and see it in 316 00:18:18,240 --> 00:18:24,520 Speaker 1: waters everywhere. I got the message communication protest. I was like, hey, 317 00:18:24,680 --> 00:18:26,480 Speaker 1: you don't pay no bills here. I don't know. She 318 00:18:26,680 --> 00:18:29,760 Speaker 1: definitely got a personality. Daisy Dog and Corey Book are 319 00:18:29,760 --> 00:18:36,399 Speaker 1: both taking a stand for rights. When I was thinking 320 00:18:36,400 --> 00:18:39,160 Speaker 1: about this, it sent me down this whole rabbit hole. 321 00:18:39,760 --> 00:18:42,960 Speaker 1: And I was reading this like editorial was a perspective 322 00:18:42,960 --> 00:18:47,720 Speaker 1: piece in science and it was called evaluating Animal Consciousness, 323 00:18:48,160 --> 00:18:51,960 Speaker 1: And they're basically saying that a lot of what we're 324 00:18:51,960 --> 00:18:54,040 Speaker 1: doing to under we don't even have a real definition 325 00:18:54,080 --> 00:18:59,880 Speaker 1: for consciousness basically, And I said, the science is lagging, right, 326 00:19:00,440 --> 00:19:03,800 Speaker 1: that's wild. So they're saying conscious we should think of 327 00:19:03,800 --> 00:19:06,399 Speaker 1: consciousness as this continuum because so much of what we 328 00:19:06,520 --> 00:19:09,960 Speaker 1: do is basically inference. Like we're looking at what we 329 00:19:10,080 --> 00:19:12,959 Speaker 1: do as humans and we're saying, do these other animals 330 00:19:13,040 --> 00:19:16,040 Speaker 1: do this? And not like what we call quote unquote 331 00:19:16,080 --> 00:19:20,919 Speaker 1: smart animals like dolphins and dogs and primates. But they're saying, 332 00:19:21,640 --> 00:19:25,119 Speaker 1: do we see other things we do like in other animals? 333 00:19:25,240 --> 00:19:28,280 Speaker 1: Is are they avoiding pain? And I'm like, there's more 334 00:19:28,280 --> 00:19:30,560 Speaker 1: to life than just avoiding pain. Are they choosing comfort? 335 00:19:30,880 --> 00:19:34,240 Speaker 1: You know, are tending to their wounds? But because there's 336 00:19:34,240 --> 00:19:37,040 Speaker 1: no solid definition and most of the evidence that we 337 00:19:37,119 --> 00:19:40,320 Speaker 1: used to define consciousness is directly related to pain, I 338 00:19:40,320 --> 00:19:42,520 Speaker 1: think there's a lot more to explore there, right. Because 339 00:19:42,520 --> 00:19:45,199 Speaker 1: it was a philosophical study, so somebody was reading a 340 00:19:45,200 --> 00:19:49,240 Speaker 1: bunch of other articles. It wasn't experimental. But that made 341 00:19:49,280 --> 00:19:52,119 Speaker 1: me feel like, you know, Dacy turned that bowl over 342 00:19:52,200 --> 00:19:54,679 Speaker 1: for a reason. It wasn't an accident. It was not 343 00:19:54,720 --> 00:19:59,040 Speaker 1: an accident. Oh, I mean when Tyson came around, there 344 00:19:59,080 --> 00:20:05,399 Speaker 1: was a clear shift in attitude. Daisy became the ultimate teenager. Mom, 345 00:20:05,880 --> 00:20:08,720 Speaker 1: leave me alone. You always just want to talk to 346 00:20:08,800 --> 00:20:26,679 Speaker 1: the baby. You're not talking to anybody, like, oh god, listen, 347 00:20:27,400 --> 00:20:30,240 Speaker 1: I'm just saying the animals might have something to say, 348 00:20:30,600 --> 00:20:32,800 Speaker 1: and we need to be careful because there's something else 349 00:20:32,880 --> 00:20:35,639 Speaker 1: going on with the animals too. What now, This is 350 00:20:35,680 --> 00:20:38,720 Speaker 1: an update from my field, So a little bit spooky, 351 00:20:38,720 --> 00:20:42,880 Speaker 1: but a little bit fun. Okay, Okay. So there's this outfit. 352 00:20:44,440 --> 00:20:48,040 Speaker 1: They're called Colossal Biosciences. They're a company out of Texas, 353 00:20:48,600 --> 00:20:55,600 Speaker 1: and they're basically doing some de extinction projects. It's a 354 00:20:56,000 --> 00:21:00,200 Speaker 1: extinction so things that have if we think of about 355 00:21:00,240 --> 00:21:04,440 Speaker 1: animals that have become extinct, put a d in the front, 356 00:21:04,440 --> 00:21:08,480 Speaker 1: take it away, bring it back in the Jurassic Park. 357 00:21:08,720 --> 00:21:11,520 Speaker 1: So that's what they're doing. Well, they're starting out. They 358 00:21:11,520 --> 00:21:13,440 Speaker 1: were looking at the wooly mammoth and they were saying, 359 00:21:13,760 --> 00:21:16,080 Speaker 1: you know, when we look at genetic information, when we 360 00:21:16,119 --> 00:21:18,879 Speaker 1: even when we compare humans to other species, there's a 361 00:21:18,880 --> 00:21:21,000 Speaker 1: lot of core genetic information, but then there are some 362 00:21:21,080 --> 00:21:23,640 Speaker 1: things that are different, and what of those differences which 363 00:21:23,680 --> 00:21:26,320 Speaker 1: are responsible for the features that we say, hey, this 364 00:21:26,440 --> 00:21:29,640 Speaker 1: is what makes this species species a versus this species 365 00:21:29,680 --> 00:21:32,159 Speaker 1: B and species B. And so they looked at the 366 00:21:32,160 --> 00:21:33,919 Speaker 1: wooly mammoth and they said, when we look at all 367 00:21:33,960 --> 00:21:36,199 Speaker 1: these things, there are a couple of genes that we 368 00:21:36,240 --> 00:21:39,560 Speaker 1: feel like are responsible for features that feel very key 369 00:21:39,600 --> 00:21:42,480 Speaker 1: to the wooly mammoth, like that really long coat and 370 00:21:42,560 --> 00:21:45,240 Speaker 1: having a lot of fat for I mean, the wily 371 00:21:45,280 --> 00:21:47,760 Speaker 1: mammoths was in very cold environment, so being able for 372 00:21:47,840 --> 00:21:53,160 Speaker 1: thermal insulation, yes, insulation, and for energy because fat storage, 373 00:21:53,200 --> 00:21:55,800 Speaker 1: you know a way to burn keep that energy on. 374 00:21:56,520 --> 00:21:59,520 Speaker 1: And so they said, let's take those things that are 375 00:21:59,520 --> 00:22:01,479 Speaker 1: distinct to the wooly mammoth. Let's see if we can 376 00:22:01,480 --> 00:22:04,399 Speaker 1: put it on a mouse. And they did. They had 377 00:22:04,400 --> 00:22:06,359 Speaker 1: these mice at store fat in the way that wooly 378 00:22:06,400 --> 00:22:08,840 Speaker 1: mammoths do, and they had like a wooly coat, like 379 00:22:08,840 --> 00:22:12,479 Speaker 1: a wooly mammoth coat on a mouse. Isn't that crazy 380 00:22:12,520 --> 00:22:15,120 Speaker 1: They genetically engineered that. Let me tell you this, This 381 00:22:15,200 --> 00:22:18,960 Speaker 1: doesn't feel correct. This really is making me nervous. It 382 00:22:19,000 --> 00:22:23,480 Speaker 1: sounds like Jurassic Park. When these little wooly mice rise 383 00:22:23,600 --> 00:22:27,920 Speaker 1: up and decide, stand on their hind left and decide 384 00:22:28,080 --> 00:22:32,720 Speaker 1: no more. They're in trouble. Like when it planted the apes, 385 00:22:32,720 --> 00:22:37,959 Speaker 1: when Caesar said, no, exactly, that was wild. Well, I 386 00:22:38,000 --> 00:22:40,159 Speaker 1: hate to tell you that's just the tip of the 387 00:22:40,160 --> 00:22:44,399 Speaker 1: iceberg of the wooly mammoth iceberg, because what else did 388 00:22:44,400 --> 00:22:47,000 Speaker 1: they make wooly Well, it didn't make something those holies. 389 00:22:47,000 --> 00:22:50,520 Speaker 1: But the latest thing is somebody messaged me about this 390 00:22:50,600 --> 00:22:52,240 Speaker 1: and was like, did you see the dire wolf is 391 00:22:52,280 --> 00:22:55,720 Speaker 1: coming back? I said, I know you're not talking about 392 00:22:55,800 --> 00:22:58,840 Speaker 1: John Snow in the Game of Thrones. Turns out that 393 00:22:58,880 --> 00:23:02,840 Speaker 1: same company took gray wolf cells and they modified about 394 00:23:02,880 --> 00:23:06,680 Speaker 1: twenty genes that are tied to key features of dire wolves, okay. 395 00:23:07,760 --> 00:23:11,520 Speaker 1: And to even get that, they have to collect ancient bones, 396 00:23:11,560 --> 00:23:13,840 Speaker 1: and so they were using ancient DNA technology to be 397 00:23:13,880 --> 00:23:17,240 Speaker 1: able to even assemble those genomes, figure out those important genes, 398 00:23:17,560 --> 00:23:19,959 Speaker 1: modify them. I'm here to tell you today that there 399 00:23:19,960 --> 00:23:23,679 Speaker 1: are three wolves with the dire wolf DNA okay that 400 00:23:23,720 --> 00:23:29,199 Speaker 1: are alive right now, three hybrid gray wolf dire wolf creatures. 401 00:23:29,320 --> 00:23:31,320 Speaker 1: They're on a private facility that they say is over 402 00:23:31,359 --> 00:23:34,920 Speaker 1: two thousand acres and one of them is named Kalisi. 403 00:23:34,960 --> 00:23:38,920 Speaker 1: So you know they're watching Game of Thrones. They're playing 404 00:23:38,920 --> 00:23:45,520 Speaker 1: in our faces. Oh my goodness, Colossal Biosciences. Somebody needs 405 00:23:45,520 --> 00:23:50,120 Speaker 1: to check on them over there, because this seems not okay. 406 00:23:50,400 --> 00:23:55,080 Speaker 1: Did they not watch Jurassic Park? I watched Jurassic Park, 407 00:23:55,560 --> 00:23:59,040 Speaker 1: and with everything I know, Colossal Biosciences invite me out. 408 00:23:59,200 --> 00:24:02,560 Speaker 1: I want to see I want to see what's going on. 409 00:24:03,080 --> 00:24:06,280 Speaker 1: DT won't come, but I will be their composition book 410 00:24:06,280 --> 00:24:09,040 Speaker 1: in hand to take notes. Okay. And all of this 411 00:24:09,280 --> 00:24:12,439 Speaker 1: just makes me think about, like what happens next with 412 00:24:12,600 --> 00:24:17,240 Speaker 1: these animals that now have lives. I mean, are they mating? 413 00:24:17,760 --> 00:24:21,000 Speaker 1: Are they having babies? I mean, how does all of 414 00:24:21,040 --> 00:24:23,240 Speaker 1: this work? Are they able to like when they have 415 00:24:23,320 --> 00:24:26,679 Speaker 1: a baby, are they able to lactate to feed the baby? 416 00:24:27,160 --> 00:24:32,760 Speaker 1: Or are they all just mixed up? I would assume. 417 00:24:33,840 --> 00:24:38,480 Speaker 1: I mean biologically, if you're a mammal, you have the 418 00:24:38,760 --> 00:24:42,960 Speaker 1: physiological thing, like the biological structures, like that's part of 419 00:24:42,960 --> 00:24:46,200 Speaker 1: being a mammal, having those glands to lack tape. That's 420 00:24:46,240 --> 00:24:50,120 Speaker 1: such a good point because most people with mammary glands 421 00:24:50,520 --> 00:24:54,639 Speaker 1: and the right hormone levels can lactate. Yeah, and you 422 00:24:54,680 --> 00:24:58,840 Speaker 1: got a question about lactation, Yes, absolutely, So you don't 423 00:24:59,000 --> 00:25:04,280 Speaker 1: have to be a cis gendered woman to produce milk 424 00:25:04,400 --> 00:25:09,600 Speaker 1: postpartum due to some hormonal shifts with prolactin and oxytocin. 425 00:25:10,200 --> 00:25:15,119 Speaker 1: That's what makes people lactate, and you can induce those 426 00:25:15,160 --> 00:25:19,760 Speaker 1: hormones even if you aren't pregnant. Isn't that wild? Yeah, 427 00:25:19,920 --> 00:25:22,600 Speaker 1: I mean that makes sense. Think about wet nurses from 428 00:25:22,640 --> 00:25:25,440 Speaker 1: back in the day. It's so true, and that means 429 00:25:25,440 --> 00:25:29,920 Speaker 1: that trans people are able to lactate, Folks that adopt 430 00:25:30,280 --> 00:25:34,600 Speaker 1: children are able to induce lactation. It's a really beautiful 431 00:25:34,680 --> 00:25:39,160 Speaker 1: thing because they're basically able to trick their bodies into 432 00:25:39,200 --> 00:25:43,320 Speaker 1: believing that they just had a baby by pumping, and 433 00:25:43,560 --> 00:25:48,160 Speaker 1: their body just starts producing milk, which is amazing because 434 00:25:48,200 --> 00:25:50,399 Speaker 1: that means that you could have a baby, or you 435 00:25:50,440 --> 00:25:53,919 Speaker 1: cannot have a baby, physically give birth to a baby, 436 00:25:53,960 --> 00:25:58,800 Speaker 1: and still have the ability to do something that you know, 437 00:25:59,119 --> 00:26:03,399 Speaker 1: a lot of women really love doing when raising their children. 438 00:26:03,480 --> 00:26:05,399 Speaker 1: The only thing I really know about lactation is that 439 00:26:05,440 --> 00:26:12,080 Speaker 1: there's some cookies for us, you know what, lactation cookies. 440 00:26:12,119 --> 00:26:16,639 Speaker 1: There's lactation drinks, teas, and I think there used to 441 00:26:16,640 --> 00:26:19,199 Speaker 1: be such I don't know if it still exists, but 442 00:26:19,240 --> 00:26:23,679 Speaker 1: I remember breastfeeding used to be such a thing. It 443 00:26:23,720 --> 00:26:25,680 Speaker 1: was really being pushed, and then like people were saying 444 00:26:25,720 --> 00:26:27,920 Speaker 1: formula is bad, now people are saying formula is good. 445 00:26:28,240 --> 00:26:30,640 Speaker 1: You should, you know, now to have formula with probiotics 446 00:26:30,640 --> 00:26:34,440 Speaker 1: and probiotics in it. So it's like, yeah, I mean, 447 00:26:34,920 --> 00:26:40,720 Speaker 1: there are so many conflicting stories and people have very 448 00:26:40,760 --> 00:26:44,960 Speaker 1: strong feelings about one or the other. And I remember 449 00:26:45,000 --> 00:26:48,040 Speaker 1: when I was pregnant and reading all these different things. 450 00:26:48,040 --> 00:26:50,600 Speaker 1: I had to just eventually stop reading everything because it 451 00:26:50,720 --> 00:26:53,560 Speaker 1: was stressing me out. And I'm sure I just was like, 452 00:26:53,960 --> 00:26:56,680 Speaker 1: you know, if I'm able to produce breast milk, wonderful. 453 00:26:56,720 --> 00:26:59,840 Speaker 1: If I'm not, that's okay too. But then it turned 454 00:26:59,840 --> 00:27:04,240 Speaker 1: out that, you know, not only did I produce breast milk, 455 00:27:04,400 --> 00:27:08,159 Speaker 1: I was an over supplier, Zakia. You remember being with 456 00:27:08,240 --> 00:27:11,879 Speaker 1: me pumping and traveling, Yes, And it felt like I 457 00:27:11,960 --> 00:27:15,399 Speaker 1: had to pump all the time, and our freezer was 458 00:27:15,520 --> 00:27:20,639 Speaker 1: filled with milk and I was just miserable. And I 459 00:27:20,680 --> 00:27:23,159 Speaker 1: remember like seeing a lot of things when I was 460 00:27:23,200 --> 00:27:26,600 Speaker 1: pregnant that was you know, women who were struggling with lactation, 461 00:27:27,080 --> 00:27:29,600 Speaker 1: and I just felt bad because I was so miserable, 462 00:27:29,640 --> 00:27:32,040 Speaker 1: and I didn't want to do it anymore. But I 463 00:27:32,119 --> 00:27:36,600 Speaker 1: eventually stopped, and I felt a little bit, well not 464 00:27:36,600 --> 00:27:38,639 Speaker 1: not even a little bit, a lot of shame because 465 00:27:38,680 --> 00:27:41,440 Speaker 1: I felt like, wow, you know you have the ability 466 00:27:41,480 --> 00:27:44,440 Speaker 1: to do this, and you're gonna stop doing it because 467 00:27:44,800 --> 00:27:48,520 Speaker 1: it's uncomfortable, it's painful, and basically I felt like I 468 00:27:48,520 --> 00:27:51,399 Speaker 1: couldn't leave my house because I have I felt like 469 00:27:51,440 --> 00:27:54,000 Speaker 1: I had to pump all the time just to get 470 00:27:54,400 --> 00:27:57,399 Speaker 1: get the milk out, and it was just really hard. 471 00:27:57,680 --> 00:28:01,320 Speaker 1: But then I saw a meme not too long ago 472 00:28:01,359 --> 00:28:07,080 Speaker 1: that was basically just like if you don't lactate, if 473 00:28:07,080 --> 00:28:11,919 Speaker 1: you choose not to breastfeed, if you they basically were 474 00:28:11,960 --> 00:28:14,520 Speaker 1: running through all these scenarios for why you would not 475 00:28:14,560 --> 00:28:18,280 Speaker 1: be breastfeeding your child, and they're said that basically all 476 00:28:18,320 --> 00:28:21,080 Speaker 1: of them are valid, and I was like, man, I 477 00:28:21,119 --> 00:28:22,959 Speaker 1: wish I would have seen this back then, because I 478 00:28:23,000 --> 00:28:26,480 Speaker 1: was crying big tears. Honey. It's just so much pressure 479 00:28:27,160 --> 00:28:31,160 Speaker 1: that they put on the child bearing parent, or like 480 00:28:32,200 --> 00:28:35,199 Speaker 1: I'm just like, oh, it's too much, too much. It 481 00:28:35,359 --> 00:28:38,720 Speaker 1: is too much. Because I saw somebody recently where somebody 482 00:28:38,760 --> 00:28:41,239 Speaker 1: was like, I know you're not still breastfeeding because they 483 00:28:41,240 --> 00:28:44,360 Speaker 1: felt like the baby was too old. Everybody shut up, 484 00:28:46,720 --> 00:28:50,000 Speaker 1: you know, I know that's right with what other people 485 00:28:50,000 --> 00:28:53,000 Speaker 1: are doing with their bodies. Shut up. I feel like 486 00:28:53,080 --> 00:28:57,600 Speaker 1: that's the that's the hugest thing. Hopefully we can, you know, 487 00:28:58,480 --> 00:29:02,840 Speaker 1: release ourselves from the burdens of other people's peering eyes 488 00:29:04,000 --> 00:29:07,239 Speaker 1: and sticking their noses in where they don't belong. This 489 00:29:07,280 --> 00:29:10,080 Speaker 1: feels like we've covered quite a few things and that's 490 00:29:10,080 --> 00:29:12,440 Speaker 1: not even our full grab bag, y'all. I know. Oh 491 00:29:12,480 --> 00:29:15,320 Speaker 1: my goodness, we talked about a lot. Let's run through 492 00:29:15,320 --> 00:29:17,400 Speaker 1: it really quick so we can remind the people that 493 00:29:17,480 --> 00:29:20,920 Speaker 1: this wasn't just any old conversation. Well, you started at 494 00:29:20,920 --> 00:29:23,680 Speaker 1: the very top protecting our rights with Senator Corey Booker. 495 00:29:23,880 --> 00:29:27,200 Speaker 1: We followed that up with talking about parenting with Chapel 496 00:29:27,280 --> 00:29:32,640 Speaker 1: Romee's comments on parenting. Then we started talking about allergies 497 00:29:32,840 --> 00:29:36,680 Speaker 1: and how pollen is kicking our butts, and how there 498 00:29:37,240 --> 00:29:42,480 Speaker 1: is a correlation between benadryl and dementia, but not causation, 499 00:29:42,720 --> 00:29:47,680 Speaker 1: not ouration, not causation, And then we moved right on 500 00:29:47,840 --> 00:29:53,720 Speaker 1: into some of the latest genetic engineering technology. Yes, Jurassic 501 00:29:53,760 --> 00:29:57,960 Speaker 1: Park is upon us. Everyone prepare yourselves. But even before 502 00:29:58,000 --> 00:30:00,760 Speaker 1: we got to that we were evaluating animals consciousness. The 503 00:30:00,800 --> 00:30:04,000 Speaker 1: animals are everywhere and they have things to say. I 504 00:30:04,040 --> 00:30:07,920 Speaker 1: think yes. And then we started talking about lactation and 505 00:30:08,280 --> 00:30:13,320 Speaker 1: societal pressures that force you know, the lactating parent into 506 00:30:13,800 --> 00:30:18,240 Speaker 1: sometimes a depression. Yes, okay, talk about it. Well, hopefully 507 00:30:18,720 --> 00:30:21,000 Speaker 1: we were able to shine a light on some of 508 00:30:21,040 --> 00:30:23,200 Speaker 1: the things. These are questions you all sent to us. 509 00:30:23,600 --> 00:30:26,880 Speaker 1: And if us talking about this brought up another question, 510 00:30:27,440 --> 00:30:30,520 Speaker 1: send it to we want to hear it. We're reading 511 00:30:30,560 --> 00:30:33,080 Speaker 1: all of your messages and that's how we built this episode. 512 00:30:33,160 --> 00:30:35,640 Speaker 1: And this is how means a kid talk to each 513 00:30:35,640 --> 00:30:38,800 Speaker 1: other on the phone. I fear like it is zig 514 00:30:38,880 --> 00:30:41,680 Speaker 1: zagging all types of different things, but it's always fun, 515 00:30:41,760 --> 00:30:44,880 Speaker 1: always a good time. Yeah, So just dial our number 516 00:30:44,920 --> 00:30:57,520 Speaker 1: next well three way. You can find us on X 517 00:30:57,640 --> 00:31:01,280 Speaker 1: and Instagram at Dope Labs. Podcast, tt is on X 518 00:31:01,320 --> 00:31:04,640 Speaker 1: and Instagram at d R underscore t Shoe and you 519 00:31:04,680 --> 00:31:08,120 Speaker 1: can find Takiya at Z said so. Dope Labs is 520 00:31:08,120 --> 00:31:12,000 Speaker 1: a production of Lamanada Media. Our senior supervising producer is 521 00:31:12,120 --> 00:31:17,640 Speaker 1: Kristin Lapour and our associate producer is Issara Savez. Dope 522 00:31:17,720 --> 00:31:21,080 Speaker 1: Labs is sound design edited and mixed by James Barber. 523 00:31:21,800 --> 00:31:25,960 Speaker 1: Lamanada Media's Vice President of Partnerships and Production is Jackie Danziger. 524 00:31:26,640 --> 00:31:30,800 Speaker 1: Executive producer from iHeart Podcast is Katrina Norvil. Marketing lead 525 00:31:30,960 --> 00:31:35,320 Speaker 1: is Alison Kanter. Original music composed and produced by Taka 526 00:31:35,440 --> 00:31:40,440 Speaker 1: Yasuzawa and Alex sudi Ura, with additional music by Elijah Harvey. 527 00:31:41,280 --> 00:31:44,720 Speaker 1: Dope Labs is executive produced by us T T Show 528 00:31:44,760 --> 00:31:46,360 Speaker 1: Dia and Pakia Wattley.