1 00:00:01,320 --> 00:00:04,600 Speaker 1: Hey lady, is doctor Dom here. If you like this 2 00:00:04,720 --> 00:00:07,240 Speaker 1: show and you want to make your own, let me 3 00:00:07,280 --> 00:00:10,840 Speaker 1: tell you about the free platform Anchor. It's a creation 4 00:00:11,000 --> 00:00:13,800 Speaker 1: tool that allows you to record and edit your podcast 5 00:00:13,920 --> 00:00:17,280 Speaker 1: right from your phone or computer. You can add songs 6 00:00:17,280 --> 00:00:21,000 Speaker 1: from Spotify and create any type of content that you 7 00:00:21,079 --> 00:00:24,400 Speaker 1: are looking for. Anchor will distribute it all for you 8 00:00:24,760 --> 00:00:28,440 Speaker 1: so it can be heard on Spotify, Apple Podcasts, and more. 9 00:00:29,160 --> 00:00:32,040 Speaker 1: Download the free Anchor app or go to anchor dot 10 00:00:32,159 --> 00:00:36,040 Speaker 1: fm to get started. Hey lady, if you're looking for 11 00:00:36,080 --> 00:00:39,600 Speaker 1: an extra dose of that behind the scenes content Terry 12 00:00:39,600 --> 00:00:44,920 Speaker 1: and I put out after every episode, go to perspacepodcast 13 00:00:45,000 --> 00:00:49,200 Speaker 1: dot com. Click Wisdom Wednesdays with Terry and you will 14 00:00:49,240 --> 00:00:52,960 Speaker 1: be taken to our Patreon page, where, for a limited time, 15 00:00:53,479 --> 00:00:56,600 Speaker 1: you will have free access to our content. We hope 16 00:00:56,640 --> 00:01:00,840 Speaker 1: you check it out and become a subscriber. And I 17 00:01:00,880 --> 00:01:04,720 Speaker 1: think that honestly, even if I had done more research 18 00:01:04,880 --> 00:01:10,039 Speaker 1: on like specifically microeconomics, I still wouldn't have known. Like 19 00:01:10,240 --> 00:01:11,840 Speaker 1: that feels so. 20 00:01:13,360 --> 00:01:14,120 Speaker 2: Foreign to me. 21 00:01:14,840 --> 00:01:18,640 Speaker 1: Yes, However, again it goes back to what you were 22 00:01:18,640 --> 00:01:23,560 Speaker 1: saying the way she explained it, Like I understood the 23 00:01:23,680 --> 00:01:29,680 Speaker 1: points right, Yes, like the areas that she spoke about resonated. 24 00:01:30,600 --> 00:01:32,000 Speaker 2: So you're talking. 25 00:01:31,680 --> 00:01:36,640 Speaker 1: About health issues like health gap, you're talking about seeking 26 00:01:36,760 --> 00:01:43,280 Speaker 1: prescriptions and participating in pharmaceutical trials like those things Like Okay, 27 00:01:43,319 --> 00:01:44,800 Speaker 1: I know that I know what that is. 28 00:01:46,360 --> 00:01:48,960 Speaker 3: Yeah, but thinking. 29 00:01:48,600 --> 00:01:51,400 Speaker 1: About it from an economic standpoint is not something that 30 00:01:51,480 --> 00:01:59,000 Speaker 1: I necessarily would automatically do. Welcome to her Space, a 31 00:01:59,120 --> 00:02:05,080 Speaker 1: podcast to uplifting women like you. We're your hosts, Doctor 32 00:02:05,120 --> 00:02:08,960 Speaker 1: Dominique Broussard, a college professor and psychologist. 33 00:02:08,560 --> 00:02:13,200 Speaker 3: And Terry Lomax, a techie and motivational speaker. In a 34 00:02:13,240 --> 00:02:17,840 Speaker 3: world where black women are often misrepresented and misunderstood, please 35 00:02:17,919 --> 00:02:22,600 Speaker 3: join us as we initiate authentic conversations on everything from 36 00:02:22,680 --> 00:02:26,119 Speaker 3: fibroids to fake friends, and create a safe space where 37 00:02:26,120 --> 00:02:27,280 Speaker 3: black women can just. 38 00:02:27,919 --> 00:02:37,560 Speaker 4: Be Hey, lady, is doctor Dom here from the Herspace podcast. 39 00:02:38,120 --> 00:02:40,160 Speaker 4: Do you have a burning question you're dying to get 40 00:02:40,160 --> 00:02:43,840 Speaker 4: feedback on? Do you want an unbiased perspective on a 41 00:02:43,880 --> 00:02:48,920 Speaker 4: situation you're facing? If so, visit her spacepodcast dot com 42 00:02:49,240 --> 00:02:52,880 Speaker 4: and click ask doctor Dom under the start here option. 43 00:02:53,400 --> 00:02:56,200 Speaker 4: Every Tuesday, I'll choose a few questions and answer them 44 00:02:56,200 --> 00:02:58,240 Speaker 4: at random. 45 00:02:58,400 --> 00:03:00,200 Speaker 3: Hey lady, really quick just wanted to let you know 46 00:03:00,280 --> 00:03:02,840 Speaker 3: before we jump into the episode that the audio in 47 00:03:02,880 --> 00:03:06,280 Speaker 3: this episode is not the best. The internet connection was 48 00:03:06,320 --> 00:03:08,200 Speaker 3: not trying to let us be great, and our guest 49 00:03:08,639 --> 00:03:11,560 Speaker 3: is a little low on some parts throughout the interview. 50 00:03:11,560 --> 00:03:13,720 Speaker 3: But we didn't want to scrap it because the content 51 00:03:13,760 --> 00:03:15,200 Speaker 3: is still really good and we had a lot of 52 00:03:15,240 --> 00:03:17,399 Speaker 3: fun recording it, so I hope that you can still 53 00:03:17,440 --> 00:03:22,560 Speaker 3: get something out of this episode. Let's jump in. All right, ladies, 54 00:03:22,600 --> 00:03:25,320 Speaker 3: we have a very special guest here in her space today, 55 00:03:25,440 --> 00:03:28,920 Speaker 3: super excited about this topic today, something that is definitely 56 00:03:28,960 --> 00:03:33,800 Speaker 3: timely for our community, So let's jump on in. Britney 57 00:03:33,800 --> 00:03:38,000 Speaker 3: Wilcher is a PhD candidate in economics at American University. 58 00:03:38,520 --> 00:03:43,440 Speaker 3: She's an applied microeconomist with interest in labor, health, and 59 00:03:43,520 --> 00:03:48,520 Speaker 3: gender economics. Prior to her doctoral studies, Britney completed a 60 00:03:48,600 --> 00:03:52,600 Speaker 3: BA in economics at Spelman College and Master of Science 61 00:03:52,640 --> 00:03:57,800 Speaker 3: and International health Care Management, Economics and Policy from SDA 62 00:03:58,080 --> 00:04:02,560 Speaker 3: the Pony School of Management and Italy. Brittany, welcome to 63 00:04:02,600 --> 00:04:08,720 Speaker 3: her space. Hey ladies, We're so happy to have you here. 64 00:04:09,520 --> 00:04:11,920 Speaker 2: Thank you for the war and welcome and the kind introduction. 65 00:04:13,120 --> 00:04:17,400 Speaker 1: Of course, we are just so excited to dive into 66 00:04:17,480 --> 00:04:21,599 Speaker 1: this conversation, and so I am going to get the 67 00:04:21,640 --> 00:04:23,040 Speaker 1: conversation started with. 68 00:04:23,080 --> 00:04:24,760 Speaker 2: Our quote of the day. 69 00:04:25,640 --> 00:04:30,280 Speaker 1: A race that is solely dependent upon another for economic 70 00:04:30,400 --> 00:04:36,680 Speaker 1: existence sooner or later dies. As we have in the 71 00:04:36,800 --> 00:04:41,400 Speaker 1: past been living upon the mercy shown by others and 72 00:04:41,480 --> 00:04:47,279 Speaker 1: by the chances obtainable, and have suffered therefrom so we 73 00:04:47,320 --> 00:04:51,000 Speaker 1: will in the future suffer if an effort is not 74 00:04:51,160 --> 00:04:57,240 Speaker 1: made now to adjust our own affairs. And that quote 75 00:04:57,360 --> 00:05:04,279 Speaker 1: comes to us from Marcus Garvey. Brittany, When you hear 76 00:05:04,400 --> 00:05:07,440 Speaker 1: that quote, what comes up for you? Like, what were 77 00:05:07,480 --> 00:05:10,919 Speaker 1: some of the immediate thoughts that you had when you 78 00:05:11,000 --> 00:05:11,920 Speaker 1: heard that statement. 79 00:05:12,760 --> 00:05:13,520 Speaker 2: I think that. 80 00:05:13,760 --> 00:05:19,400 Speaker 5: It's time that we concentrate on building our own and if, 81 00:05:19,440 --> 00:05:23,120 Speaker 5: as our ancestors did in the past, that there are 82 00:05:23,320 --> 00:05:30,159 Speaker 5: unfortunate structures in which this country was designed under, and 83 00:05:30,200 --> 00:05:33,360 Speaker 5: we can keep fighting those structures. But as we fight 84 00:05:33,480 --> 00:05:36,719 Speaker 5: those structures, I think it's imperative that we begin to 85 00:05:36,839 --> 00:05:41,960 Speaker 5: concentrate on building our own sort of economic independence, working 86 00:05:42,000 --> 00:05:45,120 Speaker 5: as a collective community, kind of going back to the 87 00:05:45,160 --> 00:05:49,880 Speaker 5: things that I think are endogenous to our heritage, in 88 00:05:49,880 --> 00:05:54,440 Speaker 5: this case, women of African descent and I imagine cost 89 00:05:54,480 --> 00:05:55,719 Speaker 5: many communities of color. 90 00:05:56,160 --> 00:05:57,960 Speaker 3: And with that, Brittany, I feel like we should just 91 00:05:58,040 --> 00:06:01,039 Speaker 3: dive right in Domini. Before our conversation and prep for 92 00:06:01,120 --> 00:06:03,640 Speaker 3: this interview, we were both like, this is a topic 93 00:06:03,640 --> 00:06:06,800 Speaker 3: that we're interested in, but it's not our area of expertise. 94 00:06:06,800 --> 00:06:09,640 Speaker 3: So we are going to really lean into curiosity today 95 00:06:09,880 --> 00:06:12,760 Speaker 3: and have lots of questions for you based on your work, 96 00:06:12,960 --> 00:06:16,480 Speaker 3: research credentials, and just like the amazing experiences that you've had. 97 00:06:16,800 --> 00:06:19,560 Speaker 3: So we're going to start very basic. If you can 98 00:06:19,640 --> 00:06:23,359 Speaker 3: just tell us what is a micro economist? What is that? 99 00:06:24,560 --> 00:06:25,600 Speaker 2: Sure? Sure? So? 100 00:06:25,680 --> 00:06:28,599 Speaker 5: I think a lot of times when people think about economics, 101 00:06:28,960 --> 00:06:33,200 Speaker 5: they think about macro economics, so kind of what's going 102 00:06:33,240 --> 00:06:36,479 Speaker 5: on with the broadery economy. You hear about interest rates, 103 00:06:36,560 --> 00:06:40,719 Speaker 5: you hear about overall GDP productivity and growth, and so 104 00:06:41,440 --> 00:06:46,240 Speaker 5: a micro economist focuses on the smallest sort of unit possible. 105 00:06:46,640 --> 00:06:50,719 Speaker 5: Us as individuals firms, how do we behave how do 106 00:06:50,839 --> 00:06:54,839 Speaker 5: we allocate as a firm, maybe scarce resources, what is 107 00:06:54,880 --> 00:06:58,640 Speaker 5: our profit? Sort of maximizing behavior? And when we think 108 00:06:58,680 --> 00:07:02,760 Speaker 5: about micro we can think about literally like smaller markets, right, 109 00:07:02,800 --> 00:07:05,520 Speaker 5: we can think about kind of a market that's interesting 110 00:07:05,720 --> 00:07:07,560 Speaker 5: to me is the healthcare market. 111 00:07:07,760 --> 00:07:08,679 Speaker 2: We can also think. 112 00:07:08,520 --> 00:07:12,520 Speaker 5: About education, right, that's also a type of market where 113 00:07:13,000 --> 00:07:17,040 Speaker 5: resources are allocated among students in certain communities. 114 00:07:17,200 --> 00:07:17,400 Speaker 2: Right. 115 00:07:17,840 --> 00:07:20,280 Speaker 5: We can also think about, kind of when that's obvious, 116 00:07:20,400 --> 00:07:24,720 Speaker 5: the housing market, right, And so the micro economists thinks 117 00:07:24,720 --> 00:07:28,520 Speaker 5: about behaviors of individuals and firms and these sort. 118 00:07:28,360 --> 00:07:29,880 Speaker 2: Of smaller markets. 119 00:07:30,520 --> 00:07:33,120 Speaker 3: That's super helpful. And my hunch is that many of 120 00:07:33,200 --> 00:07:35,280 Speaker 3: us are a lot more familiar with economics and we 121 00:07:35,360 --> 00:07:39,400 Speaker 3: run a household, especially microeconomics. If we run a household, 122 00:07:39,400 --> 00:07:43,200 Speaker 3: because of I think about budgeting and allocating your resources 123 00:07:43,240 --> 00:07:47,240 Speaker 3: and just prioritizing where money goes in the household. So 124 00:07:47,280 --> 00:07:49,520 Speaker 3: I guess, and you can just tell us what prompted 125 00:07:49,560 --> 00:07:50,800 Speaker 3: you to choose this career. 126 00:07:51,480 --> 00:07:54,720 Speaker 2: Yeah, sure, So I think relatively young age. When I 127 00:07:54,760 --> 00:07:58,960 Speaker 2: was in junior high, my grandmother actually had a. 128 00:07:58,560 --> 00:08:01,960 Speaker 5: Massive stroke, and my families from Louisiana and my mom's 129 00:08:01,960 --> 00:08:05,160 Speaker 5: side of the family, so I remember my mom rushing 130 00:08:05,440 --> 00:08:09,600 Speaker 5: to get me from school, and basically we all get 131 00:08:09,600 --> 00:08:14,240 Speaker 5: it off, my parents, my sister to Louisiana to see 132 00:08:14,240 --> 00:08:17,240 Speaker 5: about my grandmother who had this massive stroke, and it 133 00:08:17,280 --> 00:08:21,200 Speaker 5: was kind of peculiar to us because to our knowledge, 134 00:08:21,200 --> 00:08:24,520 Speaker 5: she had no sort of pre existing health conditions. Right, 135 00:08:24,560 --> 00:08:28,080 Speaker 5: she went in for checkups, she walked in all the 136 00:08:28,200 --> 00:08:31,840 Speaker 5: things that you would expect someone to do, although you 137 00:08:31,880 --> 00:08:35,760 Speaker 5: know she was aging, and come to find out, we 138 00:08:35,880 --> 00:08:40,200 Speaker 5: ultimately ended up bringing my grandmother back to California where 139 00:08:40,240 --> 00:08:43,920 Speaker 5: I grew up, and to physicians here so that my 140 00:08:44,000 --> 00:08:46,480 Speaker 5: mom and other family members that we have here could 141 00:08:46,480 --> 00:08:50,319 Speaker 5: help kind of nurse her back to recovery. And physicians 142 00:08:50,360 --> 00:08:53,840 Speaker 5: here actually noted that, hey, this was something that actually 143 00:08:53,880 --> 00:08:55,079 Speaker 5: could have been prevented. 144 00:08:55,559 --> 00:08:55,719 Speaker 2: Right. 145 00:08:55,840 --> 00:08:59,239 Speaker 5: She had to have been displaying some sort of symptoms 146 00:08:59,480 --> 00:09:03,160 Speaker 5: prior to this time, and so that got me to thinking, 147 00:09:04,160 --> 00:09:05,880 Speaker 5: after being upset, right, that this. 148 00:09:05,760 --> 00:09:07,480 Speaker 2: Is something that should have been caught. 149 00:09:07,760 --> 00:09:11,800 Speaker 5: It got me to thinking about how different care is 150 00:09:11,920 --> 00:09:15,199 Speaker 5: health care in particular, might be depending on what region 151 00:09:15,240 --> 00:09:17,960 Speaker 5: of the world that you're in. It also got me 152 00:09:18,000 --> 00:09:21,840 Speaker 5: to thinking about the extent to which maybe her gender 153 00:09:22,200 --> 00:09:24,280 Speaker 5: and her race may have played a role, and the 154 00:09:24,440 --> 00:09:27,920 Speaker 5: type of treatment that she was getting, and maybe the 155 00:09:27,920 --> 00:09:30,760 Speaker 5: fact that she didn't have advocates there as she was 156 00:09:30,800 --> 00:09:33,600 Speaker 5: going to the doctor. Right, So all of these things 157 00:09:33,720 --> 00:09:37,040 Speaker 5: got me kind of rouled up and passion about really 158 00:09:37,160 --> 00:09:41,760 Speaker 5: trying to understand what's going on in this healthcare market, 159 00:09:42,120 --> 00:09:45,600 Speaker 5: what is going on in terms of physician behavior, what 160 00:09:45,679 --> 00:09:49,400 Speaker 5: are they optimizing off of, right, what are their incentives 161 00:09:49,440 --> 00:09:54,400 Speaker 5: to keep certain patients healthy and maybe unfortunately letting other 162 00:09:54,480 --> 00:09:57,319 Speaker 5: patients kind of go by the wayside, right, And so 163 00:09:57,440 --> 00:10:00,480 Speaker 5: all these things at my sort of young age, I 164 00:10:00,559 --> 00:10:03,120 Speaker 5: might not have the words to verbalize, but this is 165 00:10:03,200 --> 00:10:06,199 Speaker 5: kind of what inspired me to go on to pursue 166 00:10:06,440 --> 00:10:09,200 Speaker 5: PhD in economics with this emphasis and health with this 167 00:10:09,400 --> 00:10:11,920 Speaker 5: lens of gender, because I really wanted to be able 168 00:10:11,960 --> 00:10:15,240 Speaker 5: to speak to and understand what is going on in 169 00:10:15,320 --> 00:10:18,280 Speaker 5: terms of health disparities that we observe in our country. 170 00:10:18,679 --> 00:10:22,040 Speaker 1: Oh okay, so there's multiple places where we can go 171 00:10:22,080 --> 00:10:25,800 Speaker 1: with this, right, Oh guys like yeah, okay, I need 172 00:10:25,840 --> 00:10:28,120 Speaker 1: to slow my mind down because there are so many 173 00:10:28,240 --> 00:10:31,839 Speaker 1: questions that now I have just based off of that 174 00:10:31,920 --> 00:10:37,320 Speaker 1: little bit of information. But the one that immediately comes 175 00:10:37,320 --> 00:10:41,200 Speaker 1: to mind when thinking about where we are in this 176 00:10:41,480 --> 00:10:46,800 Speaker 1: current place and time is the health disparities related to 177 00:10:47,920 --> 00:10:52,880 Speaker 1: this current pandemic. And so I guess what I'm asking 178 00:10:53,120 --> 00:10:58,240 Speaker 1: is what is your exposure in terms of understanding and 179 00:10:58,280 --> 00:11:05,760 Speaker 1: researching what the economics are behind the health disparities related 180 00:11:05,760 --> 00:11:06,680 Speaker 1: to COVID nineteen. 181 00:11:07,679 --> 00:11:11,079 Speaker 2: That's a great, great question, very relevant, very timely. 182 00:11:11,600 --> 00:11:15,360 Speaker 5: I'm not focus currently on looking at COVID nineteen, but 183 00:11:15,520 --> 00:11:19,320 Speaker 5: just have some own speculations just based off the kind 184 00:11:19,360 --> 00:11:21,720 Speaker 5: of the stats that we hear throw now there kind 185 00:11:21,720 --> 00:11:25,320 Speaker 5: of daring the other economists are talking about. And I 186 00:11:25,360 --> 00:11:27,600 Speaker 5: think that there are a couple of things that are 187 00:11:27,600 --> 00:11:32,240 Speaker 5: really precipitating the disparities that we're observing within community communities 188 00:11:32,240 --> 00:11:37,200 Speaker 5: of color. And I think unfortunately racism in this country 189 00:11:37,960 --> 00:11:42,280 Speaker 5: is really affecting our health, the stress that people of 190 00:11:42,360 --> 00:11:46,240 Speaker 5: color endure. And so I think as a result what 191 00:11:46,280 --> 00:11:49,480 Speaker 5: we observe due to whether it's race and these other 192 00:11:49,559 --> 00:11:51,839 Speaker 5: sort of markets that we've talked about in the labor market, 193 00:11:51,920 --> 00:11:55,480 Speaker 5: not having access to sufficient high quality food, all of 194 00:11:55,520 --> 00:11:59,360 Speaker 5: these things, maybe just literally the stress of being black 195 00:11:59,400 --> 00:12:04,760 Speaker 5: in the work is resulting in basically what we're seeing. 196 00:12:04,559 --> 00:12:07,160 Speaker 2: In the black community is a lot of people having. 197 00:12:07,480 --> 00:12:11,280 Speaker 5: More conditions that are what they refer to as underlying 198 00:12:11,320 --> 00:12:16,000 Speaker 5: conditions that make you have a higher risk for being 199 00:12:16,040 --> 00:12:20,480 Speaker 5: susceptible to COVID nineteen. Right, So if underlying, as a 200 00:12:20,480 --> 00:12:24,680 Speaker 5: community we have higher rates of heart disease, higher rates 201 00:12:24,679 --> 00:12:29,000 Speaker 5: of asthma. Right, these underlying conditions which are precipitated by 202 00:12:29,000 --> 00:12:33,720 Speaker 5: all these unfortunate sort of socioeconomic conditions can make one 203 00:12:33,800 --> 00:12:37,720 Speaker 5: more susceptible. In addition, I think what we're seeing is 204 00:12:37,800 --> 00:12:42,120 Speaker 5: also that a number of black workers are the frontline workers, right, 205 00:12:42,160 --> 00:12:44,760 Speaker 5: and so they're not benefiting necessarily. 206 00:12:44,240 --> 00:12:47,679 Speaker 2: From being able to work from home. 207 00:12:47,800 --> 00:12:50,480 Speaker 5: Like many of these other workers that we're able to 208 00:12:50,640 --> 00:12:54,640 Speaker 5: just transition blacktop. I mean, even myself still go about 209 00:12:54,679 --> 00:12:57,840 Speaker 5: business as usual from home. So if we have these 210 00:12:57,960 --> 00:13:01,160 Speaker 5: higher rates of these risk factors for COVID nineteen and 211 00:13:01,200 --> 00:13:03,960 Speaker 5: we're on the front lines, and on top of that, 212 00:13:04,200 --> 00:13:09,240 Speaker 5: we know that there is unfortunately perceptions about how black 213 00:13:09,280 --> 00:13:12,120 Speaker 5: people experience pain, So when we're going to the doctor, 214 00:13:12,640 --> 00:13:15,360 Speaker 5: this might lead to sort of differential treatment in terms 215 00:13:15,440 --> 00:13:18,439 Speaker 5: of who's believed and who's not believed, and how they're treated. 216 00:13:18,880 --> 00:13:22,720 Speaker 5: We have this sort of unfortunate perfect storm of what 217 00:13:22,880 --> 00:13:27,200 Speaker 5: I perceive or these devastating racial and ethnic disparities that 218 00:13:27,240 --> 00:13:30,760 Speaker 5: we're observing for COVID nineteen. But again my disclaimer is 219 00:13:30,800 --> 00:13:33,080 Speaker 5: this is not my area of research, but this is 220 00:13:33,320 --> 00:13:36,600 Speaker 5: these are factors that I suspect are precipitating and priding 221 00:13:36,640 --> 00:13:38,800 Speaker 5: the numbers that we're currently observing. 222 00:13:39,840 --> 00:13:42,080 Speaker 3: I love the way you wrote that down, Brittany, because 223 00:13:42,080 --> 00:13:45,640 Speaker 3: I think that in the media, the way that it's portraying, 224 00:13:45,640 --> 00:13:48,240 Speaker 3: and we know the media can be very problematic, right, 225 00:13:48,440 --> 00:13:50,719 Speaker 3: I think the way that it's portrayed is like, oh, 226 00:13:51,000 --> 00:13:53,480 Speaker 3: black people are unhealthy and they just eat this stuff 227 00:13:53,480 --> 00:13:56,120 Speaker 3: and they do these things. This is why COVID nineteen 228 00:13:56,200 --> 00:13:59,000 Speaker 3: is attacking their community at a larger rate. And it's like, 229 00:14:00,080 --> 00:14:01,840 Speaker 3: but we really peel back the layers. I think you 230 00:14:01,840 --> 00:14:05,280 Speaker 3: did a great job of articulating exactly why that might 231 00:14:05,320 --> 00:14:07,440 Speaker 3: play out in that way. Now, I want to read 232 00:14:07,480 --> 00:14:10,959 Speaker 3: something in your bio that intrigues me. That Doom and 233 00:14:11,040 --> 00:14:13,320 Speaker 3: I were like, oh wow, this is fancy, Like what's 234 00:14:13,360 --> 00:14:15,959 Speaker 3: going on here? So basically, what it says is you 235 00:14:16,040 --> 00:14:20,600 Speaker 3: employ quasi experimental designs to draw inferences about the quality 236 00:14:20,640 --> 00:14:25,240 Speaker 3: of pharmaceutical innovation and labor market effects of healthcare access 237 00:14:25,280 --> 00:14:28,880 Speaker 3: for women and other underrepresented groups. What does that mean? 238 00:14:29,000 --> 00:14:29,400 Speaker 1: It mean? 239 00:14:29,760 --> 00:14:30,400 Speaker 3: What is this? 240 00:14:30,440 --> 00:14:31,360 Speaker 2: It sounds amazing. 241 00:14:33,120 --> 00:14:36,880 Speaker 5: No, I'll do my best to try to simplify that, right, So, 242 00:14:37,040 --> 00:14:40,560 Speaker 5: I think the idea is a lot of times you 243 00:14:40,600 --> 00:14:43,880 Speaker 5: can find what we refer to as like correlations and 244 00:14:44,080 --> 00:14:47,560 Speaker 5: data right, like kind of what you were describing is 245 00:14:47,560 --> 00:14:51,520 Speaker 5: actually a really good example, like oh, black people are 246 00:14:51,720 --> 00:14:55,880 Speaker 5: eating this healthy food or they have these unhealthy behaviors, 247 00:14:56,400 --> 00:15:00,480 Speaker 5: and so that's why they're getting COVID nineteen, and that 248 00:15:00,560 --> 00:15:01,040 Speaker 5: might not. 249 00:15:01,000 --> 00:15:05,360 Speaker 2: Necessarily mean that A is causing B. 250 00:15:05,760 --> 00:15:08,000 Speaker 5: And so when I think of causal imperence, what I 251 00:15:08,040 --> 00:15:11,160 Speaker 5: think of it is this idea of really trying to 252 00:15:11,560 --> 00:15:15,280 Speaker 5: treat your data analysis like as if it was an 253 00:15:15,320 --> 00:15:19,400 Speaker 5: actual experiment in a lab, like in chemistry or physics, 254 00:15:19,400 --> 00:15:25,080 Speaker 5: where you're literally able to just say changing one factor right, 255 00:15:25,360 --> 00:15:30,520 Speaker 5: holding all else constant. We observed this relationship between let's say, 256 00:15:31,440 --> 00:15:34,120 Speaker 5: maybe some policy change such as pay can be lead 257 00:15:34,640 --> 00:15:38,160 Speaker 5: and women to behavior in terms of their attachment to 258 00:15:38,240 --> 00:15:41,600 Speaker 5: the labor market. So then continuing to work in pobs, right, 259 00:15:42,080 --> 00:15:45,360 Speaker 5: we want to be able to disentangle whether it is 260 00:15:45,720 --> 00:15:50,400 Speaker 5: like that policy that's actually precipitating that behavior, because there 261 00:15:50,400 --> 00:15:52,600 Speaker 5: could be a whole lot of other reasons why a 262 00:15:52,640 --> 00:15:56,000 Speaker 5: woman is staying attached to the labor market in that 263 00:15:56,080 --> 00:16:00,320 Speaker 5: policy specifically. And so what causal imperence allows us to 264 00:16:00,400 --> 00:16:04,240 Speaker 5: do is it allows us to basically say that X 265 00:16:04,880 --> 00:16:09,400 Speaker 5: causes why. Hopefully that was a sufficient expression. 266 00:16:10,320 --> 00:16:16,520 Speaker 1: Yes, that was a really good explanation. And again I'm like, 267 00:16:16,760 --> 00:16:22,280 Speaker 1: oh ooh questions, right, because the example that you gave 268 00:16:22,600 --> 00:16:28,920 Speaker 1: talked about family leave policies and women in the labor market. 269 00:16:30,160 --> 00:16:36,160 Speaker 1: And so what I'm curious about is, I think I 270 00:16:36,240 --> 00:16:38,960 Speaker 1: keep coming back to this pandemic and I know that 271 00:16:38,960 --> 00:16:44,360 Speaker 1: that's not the area that you're studying, but just thinking 272 00:16:44,440 --> 00:16:50,160 Speaker 1: about leave in general, like family leave in general, and 273 00:16:51,200 --> 00:16:55,880 Speaker 1: if you have someone like if we go back to 274 00:16:56,000 --> 00:16:58,840 Speaker 1: the example that you gave with like the story that 275 00:16:58,880 --> 00:17:05,200 Speaker 1: you shared about your grandmother, right, and initially the family 276 00:17:05,280 --> 00:17:09,520 Speaker 1: had to go to Louisiana to be physically there with 277 00:17:09,600 --> 00:17:12,400 Speaker 1: her before you all were able to bring her back 278 00:17:12,440 --> 00:17:16,040 Speaker 1: to California. And so what I think about there is 279 00:17:17,320 --> 00:17:21,679 Speaker 1: how many families are not able to do that because 280 00:17:21,680 --> 00:17:24,240 Speaker 1: they don't have that type of lead. 281 00:17:24,560 --> 00:17:24,760 Speaker 4: Right. 282 00:17:25,200 --> 00:17:31,399 Speaker 1: They're in a job where they're basically told, if you 283 00:17:31,640 --> 00:17:36,479 Speaker 1: take time off to go and take care of your 284 00:17:36,520 --> 00:17:39,840 Speaker 1: sick child or your six spouse, or you're a sick parent, 285 00:17:41,160 --> 00:17:46,440 Speaker 1: then you're out of a job. And how many of us, 286 00:17:46,480 --> 00:17:52,440 Speaker 1: how many people are put in that predicament, and then 287 00:17:52,560 --> 00:17:58,440 Speaker 1: the domino effect that having to make that decision causes. 288 00:17:59,080 --> 00:18:03,480 Speaker 5: It's I thinkable position to be in, which is why 289 00:18:04,000 --> 00:18:06,720 Speaker 5: I think it's very important that we have some sort 290 00:18:06,720 --> 00:18:11,480 Speaker 5: of national aid family leave policy. And so I think 291 00:18:11,880 --> 00:18:15,399 Speaker 5: one thing that we do see well in terms of 292 00:18:15,440 --> 00:18:19,760 Speaker 5: that particular research is that unfortunately women of color in 293 00:18:19,800 --> 00:18:24,080 Speaker 5: general tend to be aggregated in these industries where they 294 00:18:24,160 --> 00:18:27,840 Speaker 5: might not necessarily have access to aid family leave as 295 00:18:27,840 --> 00:18:31,320 Speaker 5: you were talking about, so they are unable to maybe 296 00:18:31,440 --> 00:18:34,120 Speaker 5: take specific time off, you know, with a new birth. 297 00:18:34,320 --> 00:18:36,720 Speaker 5: If they do right, it's like, well, I have a 298 00:18:36,800 --> 00:18:41,159 Speaker 5: job to come back to. And so I think and 299 00:18:41,240 --> 00:18:45,040 Speaker 5: I hope that particularly what's going on with this pandemic, 300 00:18:45,160 --> 00:18:50,560 Speaker 5: that there is a more robust conversation around how we 301 00:18:50,600 --> 00:18:55,560 Speaker 5: are really integrating our mothers into this sort of labor market. 302 00:18:55,920 --> 00:18:58,680 Speaker 5: I mean, like I think we've seen with COVID nineteen 303 00:18:58,840 --> 00:19:02,560 Speaker 5: in particular, that what I've seen in my research this 304 00:19:02,680 --> 00:19:06,520 Speaker 5: sort of dual burden that mother's in particular face in 305 00:19:06,640 --> 00:19:09,240 Speaker 5: terms of caring for their household. 306 00:19:09,320 --> 00:19:11,520 Speaker 2: Right, So what do I mean by that? I mean 307 00:19:11,560 --> 00:19:14,280 Speaker 2: that literally a woman's a mother. 308 00:19:15,359 --> 00:19:18,920 Speaker 5: Has like a double workday, so she's working two times 309 00:19:19,000 --> 00:19:23,280 Speaker 5: more hours then let's say a mile father. And what 310 00:19:23,320 --> 00:19:26,800 Speaker 5: that means is with this increase or influx of women 311 00:19:26,960 --> 00:19:30,480 Speaker 5: entering the workforce like the since like the sixties, right, 312 00:19:30,560 --> 00:19:33,080 Speaker 5: what we're saying is that the time that they're spending 313 00:19:33,080 --> 00:19:36,679 Speaker 5: on unhaped sort of care, so things around the household, 314 00:19:36,800 --> 00:19:40,160 Speaker 5: all of that that time hasn't changed. So they're literally 315 00:19:40,480 --> 00:19:44,000 Speaker 5: they have a double workday and a double burden. And 316 00:19:44,119 --> 00:19:48,880 Speaker 5: so what does that mean with COVID nineteen and children 317 00:19:49,000 --> 00:19:49,919 Speaker 5: no longer being able to. 318 00:19:49,920 --> 00:19:51,399 Speaker 2: Physically go into school? 319 00:19:51,600 --> 00:19:55,120 Speaker 5: How is a mother going to be able to manage 320 00:19:55,440 --> 00:20:01,680 Speaker 5: being the teacher, being the main being the chef, along 321 00:20:01,800 --> 00:20:06,080 Speaker 5: with maybe potentially depending on where she's employed, that's in 322 00:20:06,160 --> 00:20:10,080 Speaker 5: her pay or salary, or maybe for some people who 323 00:20:10,119 --> 00:20:12,800 Speaker 5: aren't on salary jobs having to make the decision between 324 00:20:13,440 --> 00:20:17,480 Speaker 5: caring for their child and no longer having. 325 00:20:17,240 --> 00:20:18,240 Speaker 2: A source of employment. 326 00:20:18,280 --> 00:20:22,240 Speaker 5: So I think that hopefully, what I am optimistic about 327 00:20:22,440 --> 00:20:27,440 Speaker 5: is that COVID is actually illuminating a lot of sort 328 00:20:27,480 --> 00:20:31,399 Speaker 5: of disparities that I think we're obvious to certain communities 329 00:20:31,400 --> 00:20:34,800 Speaker 5: in particular, and that we I think like now is 330 00:20:34,840 --> 00:20:39,199 Speaker 5: a time to sort of reboot and readjust recalibrate and 331 00:20:39,240 --> 00:20:41,520 Speaker 5: think about how are we going to tackle these things 332 00:20:41,520 --> 00:20:45,280 Speaker 5: when policy sort of framework, because these problems always existed, 333 00:20:45,520 --> 00:20:50,440 Speaker 5: but people were not necessarily affected on this massive sort 334 00:20:50,480 --> 00:20:54,680 Speaker 5: of scale. And I think since your podcast targets black 335 00:20:54,720 --> 00:20:59,320 Speaker 5: women women of color in particular, it's important for us 336 00:21:00,240 --> 00:21:04,960 Speaker 5: because you guys may be aware that black women are 337 00:21:05,960 --> 00:21:09,879 Speaker 5: seventy percent of households. They are the breadwinner or the 338 00:21:10,240 --> 00:21:13,040 Speaker 5: cole breadwinner, meaning they bring in at least twenty five 339 00:21:13,080 --> 00:21:16,800 Speaker 5: percent of their income, So this could have devastating effects. 340 00:21:16,880 --> 00:21:22,000 Speaker 5: We're not considering some of the consequences of pandemic on 341 00:21:22,800 --> 00:21:24,240 Speaker 5: our community in particular. 342 00:21:24,760 --> 00:21:27,560 Speaker 3: Wow, that is super deep, Britney, and it makes me 343 00:21:27,600 --> 00:21:30,920 Speaker 3: think about this article that I read from market Watch, 344 00:21:31,720 --> 00:21:34,760 Speaker 3: and just to read this data, it was just like wow. 345 00:21:35,000 --> 00:21:37,439 Speaker 3: It says about one estimate, the typical white family has 346 00:21:37,520 --> 00:21:41,440 Speaker 3: wealth of one hundred and seventy one thousand dollars annually, 347 00:21:41,920 --> 00:21:46,679 Speaker 3: and that's ten times greater than seventeen thousand, one hundred 348 00:21:46,680 --> 00:21:49,720 Speaker 3: and fifty dollars for an average black family. And just 349 00:21:49,720 --> 00:21:52,439 Speaker 3: to think about a family living on that amount of 350 00:21:52,480 --> 00:21:55,679 Speaker 3: money and that income gap and the stark divide between 351 00:21:55,720 --> 00:21:59,639 Speaker 3: how much capital white people and black people control. I 352 00:21:59,680 --> 00:22:01,320 Speaker 3: think any of us know the answer to this, but 353 00:22:01,320 --> 00:22:04,080 Speaker 3: I'd love to hear you break it down as someone 354 00:22:04,080 --> 00:22:07,480 Speaker 3: that's you know, in economics, what has caused this massive 355 00:22:07,960 --> 00:22:09,520 Speaker 3: wealth gap for black people? 356 00:22:10,960 --> 00:22:12,359 Speaker 2: Wow, that's a great question. 357 00:22:12,880 --> 00:22:17,280 Speaker 5: I think in general about the wealth gap, I'm thinking 358 00:22:17,320 --> 00:22:23,000 Speaker 5: about lack of access to pack We had no we 359 00:22:23,080 --> 00:22:31,400 Speaker 5: had no boots, no boots, So I'm thinking about it's 360 00:22:31,440 --> 00:22:34,840 Speaker 5: a very interesting feature. Actually I'm digressing, but this might 361 00:22:34,880 --> 00:22:36,480 Speaker 5: be worth someone that you want. 362 00:22:36,359 --> 00:22:37,000 Speaker 2: To reach out to. 363 00:22:37,560 --> 00:22:41,960 Speaker 5: That doctor Lucis wrote about choosing economist kind of post 364 00:22:42,040 --> 00:22:47,040 Speaker 5: reconstruction error. You saw kind of this optic in black innovators. 365 00:22:47,520 --> 00:22:49,479 Speaker 5: So like with the number of patents, I think it's 366 00:22:49,480 --> 00:22:51,080 Speaker 5: gotten a lot of press more recently. 367 00:22:51,440 --> 00:22:53,879 Speaker 2: And then you see with things like those with are 368 00:22:53,920 --> 00:22:54,879 Speaker 2: actually around the. 369 00:22:55,480 --> 00:22:58,600 Speaker 5: Spanish flue, that pandemic which coincided with a lot of 370 00:22:58,680 --> 00:23:01,639 Speaker 5: racial violence against unfortunate black people. You see like this 371 00:23:02,400 --> 00:23:06,119 Speaker 5: this really stark beachline and black inventors. So that just 372 00:23:06,160 --> 00:23:09,640 Speaker 5: wants to think about the whole We just didn't have 373 00:23:09,720 --> 00:23:12,240 Speaker 5: the space or the safety to be able to innovate. 374 00:23:13,040 --> 00:23:17,879 Speaker 5: But I think in terms of a black white wealth gap, 375 00:23:18,119 --> 00:23:23,040 Speaker 5: I think again we didn't necessarily have the boots. I 376 00:23:23,080 --> 00:23:26,840 Speaker 5: think we were left out of many of America's historic 377 00:23:27,240 --> 00:23:29,000 Speaker 5: stimulus sort of packages. 378 00:23:30,280 --> 00:23:33,280 Speaker 2: I think in general, when you think. 379 00:23:33,080 --> 00:23:36,760 Speaker 5: About the types of occupations that we work in, when 380 00:23:36,760 --> 00:23:41,400 Speaker 5: we think about the black white pay gap, right, when 381 00:23:41,400 --> 00:23:46,280 Speaker 5: we think about even today, if an education is a 382 00:23:46,320 --> 00:23:51,080 Speaker 5: gateway to mobility and access to certain careers, which communities 383 00:23:51,119 --> 00:23:54,600 Speaker 5: have to take out set in order to access set education? 384 00:23:55,200 --> 00:23:55,480 Speaker 2: Right? 385 00:23:55,600 --> 00:23:58,080 Speaker 5: Because even now, in order to buy a house, I 386 00:23:58,080 --> 00:24:00,760 Speaker 5: think other considering how much that you have. 387 00:24:01,040 --> 00:24:03,240 Speaker 2: So I think it's a litany of things. 388 00:24:03,320 --> 00:24:07,960 Speaker 5: In addition to the history of redline right, So a 389 00:24:08,000 --> 00:24:10,760 Speaker 5: lot of people other communities were able to build wealth 390 00:24:11,160 --> 00:24:14,280 Speaker 5: in terms of property that their family owned, who have 391 00:24:14,400 --> 00:24:18,040 Speaker 5: access to those properties, who determine what those properties will work. 392 00:24:18,600 --> 00:24:20,920 Speaker 2: I think in this I mean, I. 393 00:24:20,920 --> 00:24:23,520 Speaker 5: Find it personally interesting when you think about even like 394 00:24:23,560 --> 00:24:28,080 Speaker 5: in the Los Angeles area, you have historically black neighborhoods 395 00:24:28,119 --> 00:24:30,480 Speaker 5: like Baldwin Hills, things of that nature, where you still 396 00:24:30,520 --> 00:24:35,520 Speaker 5: have really nice homes, wealthy families. But I sometimes wonder 397 00:24:36,160 --> 00:24:39,520 Speaker 5: why those homes might be worth a little bit less 398 00:24:39,680 --> 00:24:42,239 Speaker 5: the same sort of home than homes that uppear in 399 00:24:42,680 --> 00:24:46,040 Speaker 5: other areas where it has a different demographic breakdown. So 400 00:24:46,359 --> 00:24:48,280 Speaker 5: if we weren't able to build wealth in the same 401 00:24:48,320 --> 00:24:54,720 Speaker 5: way that other communities were able to because of structural design, 402 00:24:55,160 --> 00:24:58,040 Speaker 5: if we weren't able to have access to the same 403 00:24:58,080 --> 00:25:01,320 Speaker 5: sort of occupations at the same sort of Okay, if 404 00:25:01,359 --> 00:25:05,239 Speaker 5: we are now playing to catch up by pursuing the 405 00:25:05,960 --> 00:25:08,600 Speaker 5: education that we need to get into these spaces, but 406 00:25:08,880 --> 00:25:11,400 Speaker 5: once we're in these spaces, we're not paid the same way. 407 00:25:11,600 --> 00:25:14,119 Speaker 5: Once we're in these spaces, we might not have the 408 00:25:14,160 --> 00:25:16,679 Speaker 5: same level of security. So I think a lot of 409 00:25:16,680 --> 00:25:20,240 Speaker 5: these things precipitated this wealth gap that we observed. 410 00:25:20,280 --> 00:25:23,840 Speaker 1: With it, I think that you are sharing with us, 411 00:25:23,920 --> 00:25:27,880 Speaker 1: like breaking it down for us in ways that we 412 00:25:27,960 --> 00:25:32,040 Speaker 1: kind of I think on a gut level understand or no, 413 00:25:32,680 --> 00:25:35,600 Speaker 1: But you're breaking it down for us in a way 414 00:25:35,600 --> 00:25:40,000 Speaker 1: that's like connecting these dots and giving us the language 415 00:25:40,160 --> 00:25:43,240 Speaker 1: to speak about what we like I said, on a 416 00:25:43,280 --> 00:25:47,119 Speaker 1: gut level, no, And so I thank you for that. 417 00:25:48,440 --> 00:25:55,320 Speaker 1: And so when you think about black women and like 418 00:25:55,400 --> 00:26:00,920 Speaker 1: you mentioned this wealth gap that we experience, all of 419 00:26:01,000 --> 00:26:05,080 Speaker 1: the health disparities that we experience, and again, you know, 420 00:26:05,119 --> 00:26:09,720 Speaker 1: all of this is tied to racism and white supremacy. 421 00:26:10,000 --> 00:26:10,280 Speaker 4: Right. 422 00:26:11,440 --> 00:26:16,240 Speaker 1: But from an economic standpoint, what are the things that 423 00:26:16,680 --> 00:26:20,720 Speaker 1: you wish we knew as black women. 424 00:26:21,960 --> 00:26:23,160 Speaker 2: To help us. 425 00:26:24,760 --> 00:26:29,160 Speaker 1: Understand and maybe attack some of these systems. 426 00:26:29,560 --> 00:26:30,280 Speaker 2: Yeah, I think. 427 00:26:30,480 --> 00:26:33,280 Speaker 5: I mean, if we just like break it down by spaces, 428 00:26:34,560 --> 00:26:38,240 Speaker 5: I think if we're just speaking about health in general, 429 00:26:38,600 --> 00:26:42,760 Speaker 5: I think it's important for us to begin to have 430 00:26:42,840 --> 00:26:46,960 Speaker 5: the language to advocate or have an advocate in that space. 431 00:26:47,119 --> 00:26:51,679 Speaker 5: And this is just not purely from an economist perspective, 432 00:26:51,760 --> 00:26:54,880 Speaker 5: but I think in the health space, I think it's 433 00:26:54,960 --> 00:26:57,720 Speaker 5: very important to be able to advocate. But I also 434 00:26:57,920 --> 00:27:01,720 Speaker 5: think in terms of what we referred to as human capital, 435 00:27:02,000 --> 00:27:05,400 Speaker 5: invest is just a fancy way of saying, how are 436 00:27:05,400 --> 00:27:09,840 Speaker 5: we investing in our education, our training, all of that. 437 00:27:10,359 --> 00:27:13,840 Speaker 5: I think what we're seeing in terms of black women 438 00:27:14,000 --> 00:27:15,919 Speaker 5: kind of being a part of this frontline workers, is 439 00:27:15,920 --> 00:27:20,120 Speaker 5: that we're concentrated in certain industries, right, And so I 440 00:27:20,160 --> 00:27:23,480 Speaker 5: think it sounds like a luxury, but I think it's 441 00:27:23,520 --> 00:27:29,600 Speaker 5: important to begin investing in different types of training, basically 442 00:27:29,640 --> 00:27:33,600 Speaker 5: retooling ourselves for the jobs of the future. 443 00:27:34,080 --> 00:27:36,720 Speaker 2: Right. And so what does that mean to me? 444 00:27:37,440 --> 00:27:40,679 Speaker 5: It means thinking about how can I be prepared for 445 00:27:40,800 --> 00:27:44,639 Speaker 5: fields that might be less affected by automation, maybe getting 446 00:27:44,680 --> 00:27:48,359 Speaker 5: into spaces like data science, right, So taking advantage of 447 00:27:48,359 --> 00:27:52,280 Speaker 5: maybe these free boot camps that teach you how to program, right, 448 00:27:52,320 --> 00:27:54,600 Speaker 5: we want to make sure kind of like in Hidden Figures, 449 00:27:55,040 --> 00:27:58,919 Speaker 5: which one of the characters that was played by Octavius 450 00:27:59,040 --> 00:28:02,040 Speaker 5: and so you'll remember seeing Hidden Figures. 451 00:28:02,480 --> 00:28:03,480 Speaker 2: There's a scene that I. 452 00:28:03,359 --> 00:28:07,720 Speaker 5: Love where she basically stills doesn't really still it because 453 00:28:07,760 --> 00:28:11,800 Speaker 5: it's literally from the public library, and begins training her 454 00:28:11,840 --> 00:28:13,720 Speaker 5: team on how to code so that she could bring 455 00:28:13,760 --> 00:28:14,760 Speaker 5: them all up with her. 456 00:28:14,880 --> 00:28:16,560 Speaker 2: And so I think it's important. 457 00:28:16,600 --> 00:28:18,560 Speaker 5: I don't know if we need to start building some 458 00:28:18,600 --> 00:28:21,119 Speaker 5: sort of collective this might exist, but we need to 459 00:28:21,160 --> 00:28:24,920 Speaker 5: begin investing in our own training, going back to life, 460 00:28:25,680 --> 00:28:28,000 Speaker 5: taking back our power to the extent that we can, 461 00:28:28,400 --> 00:28:32,200 Speaker 5: and training ourselves for the jobs of the future. I think, 462 00:28:32,240 --> 00:28:36,480 Speaker 5: so that we're not just aggregated in these spaces that 463 00:28:36,640 --> 00:28:41,440 Speaker 5: are so temperamental based upon how the economy ebbs and flows. 464 00:28:41,480 --> 00:28:44,040 Speaker 5: And I know it's easier sort of said than done, 465 00:28:44,200 --> 00:28:46,480 Speaker 5: because then we have that barrier of trying to get 466 00:28:46,560 --> 00:28:49,800 Speaker 5: jobs in these spaces which require a network, right, And 467 00:28:49,840 --> 00:28:52,560 Speaker 5: so I think when I'm thinking about both kind of 468 00:28:52,600 --> 00:28:56,880 Speaker 5: these investing our own human capital, advocating for yourself in 469 00:28:56,920 --> 00:28:58,960 Speaker 5: the health space. I also think that there's just like 470 00:28:59,000 --> 00:29:02,160 Speaker 5: a lot to be done policy wise, Like there's just 471 00:29:02,160 --> 00:29:06,080 Speaker 5: some stuff that it's it's not on uses, Like it's 472 00:29:06,120 --> 00:29:09,000 Speaker 5: just not on us, right, but it's on us to begin, 473 00:29:09,800 --> 00:29:12,720 Speaker 5: I think advocating and the way that we've seen people 474 00:29:12,880 --> 00:29:16,440 Speaker 5: rise up now to push back on policy makers pod 475 00:29:16,520 --> 00:29:19,600 Speaker 5: and accountable for things like AIDAM things that we know 476 00:29:19,720 --> 00:29:23,200 Speaker 5: work right, like having access to BAID family like there's 477 00:29:23,360 --> 00:29:27,600 Speaker 5: plenty of evidence for that, having access to solid childcare, 478 00:29:27,680 --> 00:29:32,120 Speaker 5: really establishing best practices to make sure that everyone has 479 00:29:32,240 --> 00:29:35,400 Speaker 5: equitable sort of access to healthcare. 480 00:29:35,480 --> 00:29:35,600 Speaker 4: Right. 481 00:29:35,640 --> 00:29:39,600 Speaker 5: So it's it's time for us to really also push 482 00:29:39,640 --> 00:29:42,560 Speaker 5: back on the government and give us give them the 483 00:29:42,680 --> 00:29:47,360 Speaker 5: list of sort of demands, recommendations or you know, like 484 00:29:47,440 --> 00:29:50,440 Speaker 5: you and I kind of in these research spaces, really 485 00:29:50,480 --> 00:29:54,120 Speaker 5: pushing back against the government. Okay, this is evidence, This 486 00:29:54,360 --> 00:29:57,160 Speaker 5: is evidence to show that this policy has x y 487 00:29:57,280 --> 00:30:01,200 Speaker 5: Z effect and can encourage x yx the type of behavior. 488 00:30:01,280 --> 00:30:03,880 Speaker 5: So I think while some of the oldness, I think 489 00:30:04,200 --> 00:30:06,680 Speaker 5: we can do what we can as black women to 490 00:30:06,760 --> 00:30:09,800 Speaker 5: retool to advocate. I think at the same time, we 491 00:30:10,160 --> 00:30:13,920 Speaker 5: continue to push back and let the government works for 492 00:30:14,080 --> 00:30:15,280 Speaker 5: us know what we need. 493 00:30:15,840 --> 00:30:18,880 Speaker 3: That's beautiful. That is such a beautiful advice. And I 494 00:30:18,920 --> 00:30:23,280 Speaker 3: love that feedback about looking at those careers that cannot 495 00:30:23,440 --> 00:30:26,320 Speaker 3: or will be less likely to be automated. I feel 496 00:30:26,320 --> 00:30:28,120 Speaker 3: like back when I was in school and we talked 497 00:30:28,120 --> 00:30:31,280 Speaker 3: about careers, there always sort of seemed to be this 498 00:30:31,640 --> 00:30:33,200 Speaker 3: I don't know, it seems like the people that were 499 00:30:33,240 --> 00:30:35,560 Speaker 3: in my network, they seem to gravitate toward the same 500 00:30:35,640 --> 00:30:38,480 Speaker 3: types of careers. So Black people in general, I don't 501 00:30:38,480 --> 00:30:40,480 Speaker 3: know if we were just shown certain careers and so 502 00:30:40,520 --> 00:30:43,640 Speaker 3: we didn't think about, oh, I can be a biologist 503 00:30:43,760 --> 00:30:46,640 Speaker 3: or like a food scientist, you know, or a data scientist. 504 00:30:46,720 --> 00:30:48,800 Speaker 3: I don't think those were careers that came to mind 505 00:30:48,840 --> 00:30:51,000 Speaker 3: for many of us. So I love that feedback, and 506 00:30:51,040 --> 00:30:52,959 Speaker 3: it's something that's great that we can share with our 507 00:30:53,040 --> 00:30:56,000 Speaker 3: children as well, sort of cultivating those gifts. So thank 508 00:30:56,040 --> 00:30:58,320 Speaker 3: you for that, Brittany. I guess the next question would 509 00:30:58,320 --> 00:31:01,600 Speaker 3: be around generational wealth. Do you have any any like 510 00:31:01,680 --> 00:31:05,560 Speaker 3: pro tips or any advice on how you black people, 511 00:31:05,640 --> 00:31:08,840 Speaker 3: black women can can sort of create generational wealth for 512 00:31:08,920 --> 00:31:09,680 Speaker 3: their families. 513 00:31:10,520 --> 00:31:13,280 Speaker 2: Oh, well, that's a good question. So I think it's interesting. 514 00:31:13,560 --> 00:31:17,160 Speaker 5: I think a lot of times people here economous and 515 00:31:18,200 --> 00:31:21,920 Speaker 5: they see it this something that's synonymous with finance. 516 00:31:22,720 --> 00:31:24,880 Speaker 2: And so I'll be honest. 517 00:31:24,640 --> 00:31:28,920 Speaker 5: In terms of I guess building wealth, I'm less knowledgeable 518 00:31:28,960 --> 00:31:33,520 Speaker 5: about just from what I do, what I think, just 519 00:31:34,280 --> 00:31:38,360 Speaker 5: priors that I have in terms of building generational wealth. 520 00:31:38,560 --> 00:31:42,720 Speaker 2: And I think actually touching back upon what. 521 00:31:42,560 --> 00:31:46,720 Speaker 5: We as black women do now to better ourselves, I 522 00:31:46,760 --> 00:31:51,120 Speaker 5: think is really investing in understanding personal finance talking about 523 00:31:51,120 --> 00:31:54,520 Speaker 5: it in our community. I think generally that may not 524 00:31:54,600 --> 00:31:58,760 Speaker 5: be something that every family actually talks about. And I 525 00:31:58,760 --> 00:32:01,400 Speaker 5: think in some ways, maybe it's because you don't want 526 00:32:01,440 --> 00:32:03,800 Speaker 5: to be a burden, right, Like I don't know, I 527 00:32:04,000 --> 00:32:08,840 Speaker 5: imagine in black families or families of color, right, there's 528 00:32:09,400 --> 00:32:12,600 Speaker 5: maybe different cultural norms around it. Maybe some seed a 529 00:32:12,840 --> 00:32:15,520 Speaker 5: hey we pull everything other, see like let me hold 530 00:32:15,560 --> 00:32:17,360 Speaker 5: my own weight because I don't want to put it 531 00:32:17,400 --> 00:32:20,000 Speaker 5: on sibling X or grandmother X. 532 00:32:20,120 --> 00:32:20,239 Speaker 2: Right. 533 00:32:20,320 --> 00:32:23,320 Speaker 5: So I think, whatever your narrative is, I think it's 534 00:32:23,320 --> 00:32:28,360 Speaker 5: important to just begin seeking out information about personal finance, 535 00:32:28,600 --> 00:32:30,320 Speaker 5: about really things. 536 00:32:30,960 --> 00:32:31,960 Speaker 2: I think what we've. 537 00:32:31,760 --> 00:32:34,840 Speaker 5: Realized in COVID is life is precious. So understanding as 538 00:32:34,840 --> 00:32:39,480 Speaker 5: state planning, understanding life insurance and how that's different than 539 00:32:39,480 --> 00:32:41,120 Speaker 5: maybe disability insurance. 540 00:32:41,520 --> 00:32:43,640 Speaker 2: What might work for you, right. 541 00:32:43,920 --> 00:32:46,600 Speaker 5: I think also when we're talking about these going back 542 00:32:46,640 --> 00:32:49,800 Speaker 5: to these investments in human capital that we're encouraging among 543 00:32:49,840 --> 00:32:55,720 Speaker 5: our children, thinking about do I need to send my 544 00:32:55,920 --> 00:32:58,280 Speaker 5: child to the school that, while it may be a 545 00:32:58,280 --> 00:33:03,480 Speaker 5: great school, end up resulting in them amassing tons of debt? 546 00:33:04,000 --> 00:33:05,560 Speaker 2: Right? Could they achieve the same. 547 00:33:05,360 --> 00:33:08,479 Speaker 5: Goal at another school that's maybe a state school that 548 00:33:08,520 --> 00:33:11,719 Speaker 5: has really solid programs, and then go on to a 549 00:33:11,760 --> 00:33:16,680 Speaker 5: graduate program at that set like prestigious quote unquote school. 550 00:33:16,760 --> 00:33:16,920 Speaker 2: Right. 551 00:33:16,960 --> 00:33:20,920 Speaker 5: So, just thinking about the ways in which we're strategically 552 00:33:20,960 --> 00:33:23,760 Speaker 5: sort of making investments. I don't know if there are 553 00:33:24,200 --> 00:33:26,960 Speaker 5: if you are able to build a community where you're 554 00:33:27,000 --> 00:33:30,360 Speaker 5: actually able to come together and invest in things and 555 00:33:30,680 --> 00:33:34,160 Speaker 5: not just stops, but maybe come together in your local 556 00:33:34,520 --> 00:33:38,640 Speaker 5: be find a group of people and really invest in 557 00:33:38,680 --> 00:33:42,760 Speaker 5: your own community. Maybe actually us being the ones to 558 00:33:43,120 --> 00:33:46,240 Speaker 5: begin to revitalize our own is to go in and 559 00:33:46,280 --> 00:33:49,640 Speaker 5: buy property, make it nice, make it somewhere that we 560 00:33:49,680 --> 00:33:51,080 Speaker 5: would want our kids to play. 561 00:33:51,200 --> 00:33:51,360 Speaker 2: Right. 562 00:33:51,440 --> 00:33:52,719 Speaker 5: So, I mean there's a lot of thoughts that I 563 00:33:52,760 --> 00:33:56,040 Speaker 5: have in terms of building generational wealth and I guess 564 00:33:56,840 --> 00:33:59,960 Speaker 5: just an individual sort of perspective, then to the broad 565 00:34:00,160 --> 00:34:03,680 Speaker 5: family unit, and then to us as like a community 566 00:34:03,960 --> 00:34:04,480 Speaker 5: as far. 567 00:34:05,480 --> 00:34:07,800 Speaker 3: I will say, brittany One, thank you so much for 568 00:34:07,880 --> 00:34:11,400 Speaker 3: that guidance and that answer. I have not really studied 569 00:34:11,800 --> 00:34:16,320 Speaker 3: microeconomics since undergrad and so as we ask these questions, 570 00:34:16,360 --> 00:34:19,239 Speaker 3: I love how you were very honest with like, this 571 00:34:19,280 --> 00:34:21,239 Speaker 3: isn't really my expertise, but you did such a great 572 00:34:21,320 --> 00:34:23,680 Speaker 3: job like sort of leading us and guiding us and 573 00:34:23,719 --> 00:34:27,439 Speaker 3: sharing what you could about these topics based on your 574 00:34:27,520 --> 00:34:30,680 Speaker 3: thoughts and your assumptions and your research and all that 575 00:34:30,760 --> 00:34:32,520 Speaker 3: good stuff. So thank you so much for bearing with 576 00:34:32,640 --> 00:34:35,760 Speaker 3: us as we are like this is a new topic 577 00:34:35,800 --> 00:34:39,560 Speaker 3: for us. We just want to dive into these various subtopics. 578 00:34:39,880 --> 00:34:41,880 Speaker 3: So I guess for us, it'd be nice to know, 579 00:34:42,200 --> 00:34:45,120 Speaker 3: like what topic can you talk about all day? Or 580 00:34:45,160 --> 00:34:50,040 Speaker 3: what topic is closely related to the research that excites 581 00:34:50,080 --> 00:34:50,640 Speaker 3: you most. 582 00:34:51,880 --> 00:34:55,959 Speaker 5: Yeah, so right now, I think that this dissertation, any 583 00:34:56,000 --> 00:34:59,280 Speaker 5: of those topics I could go on and on about 584 00:34:59,400 --> 00:35:02,480 Speaker 5: right thinking about right now a lot of stuff that 585 00:35:02,600 --> 00:35:05,719 Speaker 5: just happens to be relevant to the news. So talking 586 00:35:05,760 --> 00:35:09,000 Speaker 5: about the representation of women in chronical tiles, and what 587 00:35:09,040 --> 00:35:14,719 Speaker 5: that means for population sort of outcomes in terms of 588 00:35:14,760 --> 00:35:18,960 Speaker 5: the types of pharmaceutical innovations that we see on the market. 589 00:35:19,160 --> 00:35:23,440 Speaker 5: So when we have a coup of people in a 590 00:35:23,640 --> 00:35:28,160 Speaker 5: clinical trial that are more representative of potentially like the 591 00:35:28,320 --> 00:35:33,760 Speaker 5: end user, do we actually see innovation that's high quality 592 00:35:33,840 --> 00:35:38,319 Speaker 5: is measured in the sense of it not presenting a 593 00:35:38,360 --> 00:35:41,879 Speaker 5: lot of adverse sort of drug reactions. I've been doing 594 00:35:41,920 --> 00:35:44,760 Speaker 5: some work, as you might be able to tell, thinking 595 00:35:44,800 --> 00:35:50,359 Speaker 5: about a family as well, how that's affected mother's sort 596 00:35:50,360 --> 00:35:55,359 Speaker 5: of long run labor market sort of behavior and what 597 00:35:55,400 --> 00:36:00,640 Speaker 5: we refer to as attachment continuing to stay employed. Looking 598 00:36:00,680 --> 00:36:05,240 Speaker 5: at these cases and states like California, New Jersey, also 599 00:36:05,320 --> 00:36:09,920 Speaker 5: thinking about really how recessions, in particular the Great Recession 600 00:36:10,440 --> 00:36:16,760 Speaker 5: affected maternal health in general, and how our policies around 601 00:36:16,960 --> 00:36:22,120 Speaker 5: childcare and child subsidies ext into which those offsets offset 602 00:36:22,200 --> 00:36:25,600 Speaker 5: some of the potential adverse implications that a recession might 603 00:36:25,680 --> 00:36:28,200 Speaker 5: have on maternal health. I can also talk to you 604 00:36:28,239 --> 00:36:32,920 Speaker 5: about Lovecraft Country or all of these other ways that 605 00:36:33,320 --> 00:36:38,800 Speaker 5: if our versus I have really been enjoying that during 606 00:36:38,840 --> 00:36:44,080 Speaker 5: the quarantine for the social sort of isolation period. But yeah, 607 00:36:44,120 --> 00:36:48,960 Speaker 5: those are things that I'm definitely enjoying learning more about 608 00:36:49,120 --> 00:36:51,600 Speaker 5: and really diving into the space. So I'm excited that 609 00:36:52,480 --> 00:36:58,160 Speaker 5: I really feel like it's relevant to the current discussions, 610 00:36:58,280 --> 00:37:02,920 Speaker 5: and so it's exciting to do work that could potentially 611 00:37:02,960 --> 00:37:07,880 Speaker 5: be able to speak to the conversation around national policy. 612 00:37:08,520 --> 00:37:13,200 Speaker 1: I have a quick follow up question, right, So, when 613 00:37:13,200 --> 00:37:16,600 Speaker 1: you were talking about participating in pharmaceutical trials, one of 614 00:37:16,600 --> 00:37:20,520 Speaker 1: the things that comes up for me all the time 615 00:37:20,560 --> 00:37:25,799 Speaker 1: in terms of participating in research. Right, So I get 616 00:37:25,840 --> 00:37:30,120 Speaker 1: it being in academia, like, I get it. I get 617 00:37:30,160 --> 00:37:35,160 Speaker 1: the need to participate in research and to have representation 618 00:37:35,600 --> 00:37:43,480 Speaker 1: in the work. But I also know the historical narrative 619 00:37:44,680 --> 00:37:51,279 Speaker 1: and how many times we as black folks have been 620 00:37:51,320 --> 00:38:01,120 Speaker 1: mistreated and killed for the advancement of science. Because I 621 00:38:01,160 --> 00:38:04,319 Speaker 1: do hear what you're saying about the importance of that representation, right, 622 00:38:05,200 --> 00:38:10,440 Speaker 1: what would you say to black women who get that 623 00:38:10,719 --> 00:38:15,680 Speaker 1: call for participating in this clinical trial? And or what 624 00:38:15,719 --> 00:38:18,200 Speaker 1: would you say to those people who are conducting clinical 625 00:38:18,200 --> 00:38:22,480 Speaker 1: trials and really want to recruit black women. I know 626 00:38:22,560 --> 00:38:23,479 Speaker 1: that's a two part question. 627 00:38:24,040 --> 00:38:27,200 Speaker 5: No, it's fine with the fire. So I think it's 628 00:38:27,200 --> 00:38:30,720 Speaker 5: a very important question. And actually, what precipitated my interests 629 00:38:30,719 --> 00:38:34,640 Speaker 5: in this area of trials. Was this just skiky experiment 630 00:38:34,960 --> 00:38:38,799 Speaker 5: that you have just referenced, And so I think this 631 00:38:38,960 --> 00:38:43,200 Speaker 5: is why I personally opted to focus on sex, so 632 00:38:43,360 --> 00:38:47,000 Speaker 5: thinking about women versus men in particular, because there are 633 00:38:47,040 --> 00:38:52,160 Speaker 5: explicit sort of biological differences as it relates to affecting 634 00:38:52,160 --> 00:38:55,840 Speaker 5: how we might metabolize medications. 635 00:38:55,880 --> 00:38:57,279 Speaker 2: To what I mean is when. 636 00:38:57,200 --> 00:39:01,600 Speaker 5: We think that like on just physiological level, talk about hormones, 637 00:39:01,640 --> 00:39:05,560 Speaker 5: we're talking about literally different sort of VMI body composition, right, 638 00:39:05,600 --> 00:39:09,640 Speaker 5: This can all affect how we are processing a medication. 639 00:39:10,000 --> 00:39:12,920 Speaker 5: And so with that, I think it's important to be 640 00:39:12,920 --> 00:39:15,680 Speaker 5: able to observe that sort of variation at like the 641 00:39:15,719 --> 00:39:18,880 Speaker 5: clinical trial phase, so that you really understand. I have 642 00:39:20,080 --> 00:39:23,080 Speaker 5: a stronger sense of how this might play out at 643 00:39:23,080 --> 00:39:26,920 Speaker 5: the population level, and I can definitely understand the trepidation 644 00:39:28,000 --> 00:39:30,920 Speaker 5: of a black person in terms of their willingness to 645 00:39:31,000 --> 00:39:33,960 Speaker 5: want to participate in a trial, which is why I mean, 646 00:39:33,960 --> 00:39:37,800 Speaker 5: maybe it is slightly different than the narrative. I actually 647 00:39:37,800 --> 00:39:43,800 Speaker 5: recently saw two sort of representatives of HBCU medical schools 648 00:39:44,680 --> 00:39:48,920 Speaker 5: encouraging black people to participate, and I think from my 649 00:39:49,160 --> 00:39:53,560 Speaker 5: perspective I'm a little leary when I think about encouraging 650 00:39:53,640 --> 00:39:57,480 Speaker 5: participation along the dimensions of race. While I am aware 651 00:39:57,680 --> 00:40:01,560 Speaker 5: that there's kind of this argument or epigenetics and this 652 00:40:01,719 --> 00:40:06,000 Speaker 5: idea that basically stress essentially like the stress of being black, 653 00:40:06,400 --> 00:40:09,160 Speaker 5: can literally change the genes in which we put the 654 00:40:09,200 --> 00:40:11,919 Speaker 5: way in which we process things. I think I'm more 655 00:40:11,960 --> 00:40:15,680 Speaker 5: comfortable with a conversation around making sure that we get 656 00:40:16,080 --> 00:40:20,160 Speaker 5: people in trials if we're not talking about along the 657 00:40:20,160 --> 00:40:23,880 Speaker 5: dimensions of gender, people in trials that represent different underlying 658 00:40:24,040 --> 00:40:28,560 Speaker 5: risk factors or diseases, right, So I would feel more comfortable, 659 00:40:28,640 --> 00:40:31,319 Speaker 5: for like, we need to have make sure that we're 660 00:40:31,800 --> 00:40:36,000 Speaker 5: including people with sickle cell right, which might disproportionately of 661 00:40:36,040 --> 00:40:39,759 Speaker 5: course affect black people. We're including people with heart disease, right, 662 00:40:39,800 --> 00:40:43,440 Speaker 5: so we're including people based upon the conditions, rather than 663 00:40:43,480 --> 00:40:47,480 Speaker 5: having this conversation around specific grace, which I think can 664 00:40:47,520 --> 00:40:50,880 Speaker 5: make people a little bit theory and apprehensive, which I 665 00:40:50,920 --> 00:40:55,120 Speaker 5: totally understand, and I think that's kind of where my 666 00:40:55,239 --> 00:40:58,640 Speaker 5: thoughts around that if for them, maybe how other people 667 00:40:58,680 --> 00:41:01,799 Speaker 5: may have stilled it just to me, I think that 668 00:41:02,160 --> 00:41:05,760 Speaker 5: the conversation should just to clarify the year round, making 669 00:41:05,760 --> 00:41:08,600 Speaker 5: sure we represent people with certain underlying risk factors and 670 00:41:08,640 --> 00:41:12,120 Speaker 5: certain diseases. And I think it's important too if we're 671 00:41:12,120 --> 00:41:14,640 Speaker 5: going to have if this is going to precipitate more 672 00:41:14,680 --> 00:41:17,439 Speaker 5: people of color being in these trials, more Black women, 673 00:41:17,560 --> 00:41:20,000 Speaker 5: for example, being in these trials, and we need to 674 00:41:20,040 --> 00:41:24,680 Speaker 5: make sure that we have the people running the trials 675 00:41:24,880 --> 00:41:29,160 Speaker 5: reflect the communities that we're serving, because I think that 676 00:41:29,520 --> 00:41:32,040 Speaker 5: or either be sensitive to the unities that they're serving. Right, 677 00:41:32,080 --> 00:41:34,760 Speaker 5: So you don't necessarily have to be a black woman 678 00:41:34,880 --> 00:41:38,160 Speaker 5: to be an advocate for the rights of black women. 679 00:41:38,360 --> 00:41:40,480 Speaker 5: But we just want to make sure that everyone in 680 00:41:40,560 --> 00:41:43,640 Speaker 5: there is on the same page in terms of the 681 00:41:43,800 --> 00:41:47,520 Speaker 5: underlying sort of mission, so they can be sensitive and 682 00:41:47,719 --> 00:41:50,960 Speaker 5: they have the ability to communicate that everyone has as 683 00:41:51,040 --> 00:41:54,320 Speaker 5: much full information to the extent which is possible about 684 00:41:54,360 --> 00:41:55,960 Speaker 5: what they are getting into. 685 00:41:56,360 --> 00:41:59,560 Speaker 2: And so I guess to the woman. 686 00:41:59,280 --> 00:42:05,960 Speaker 5: That is acting intensive, I would want her to consider participation. 687 00:42:06,080 --> 00:42:09,520 Speaker 5: I guess from the perspective of making sure that someone 688 00:42:09,600 --> 00:42:12,959 Speaker 5: perhaps with her underlying conditions, is represented in this child 689 00:42:13,040 --> 00:42:16,200 Speaker 5: such that when this goes to the market, when this 690 00:42:16,280 --> 00:42:18,520 Speaker 5: has rolled out and the masses that. 691 00:42:18,400 --> 00:42:23,920 Speaker 2: We know, hopefully Shawa that this is going to. 692 00:42:24,040 --> 00:42:28,000 Speaker 5: Play out well among those populations that may have sickness, 693 00:42:28,040 --> 00:42:31,480 Speaker 5: cell that may have heart diseases, that may have dives, right, 694 00:42:31,760 --> 00:42:36,400 Speaker 5: And I think when you're talking around conditions, it to 695 00:42:36,560 --> 00:42:40,600 Speaker 5: me doesn't necessarily mean just black, because other people can 696 00:42:40,680 --> 00:42:45,200 Speaker 5: have diabetes, right, other people can have heart disease. But 697 00:42:45,239 --> 00:42:48,239 Speaker 5: we still want to understand how the drug interacts with 698 00:42:48,360 --> 00:42:50,680 Speaker 5: maybe people with those sort of compouns. 699 00:42:52,120 --> 00:42:53,920 Speaker 3: I love that you share that, and I love that 700 00:42:53,960 --> 00:42:56,279 Speaker 3: you asked that question Dom. It makes me think about 701 00:42:56,960 --> 00:42:59,000 Speaker 3: in the news and how they were saying we need 702 00:42:59,040 --> 00:43:03,319 Speaker 3: more black people to this vaccine out on and I'm like, oh, absolutely, 703 00:43:03,400 --> 00:43:05,359 Speaker 3: I will not be signing up for that, like of 704 00:43:05,400 --> 00:43:07,839 Speaker 3: course because of our current government and everything that's kind 705 00:43:07,840 --> 00:43:09,759 Speaker 3: of going on there. But I love the way you 706 00:43:09,800 --> 00:43:12,799 Speaker 3: said you prefer not to focus on race per se, 707 00:43:12,920 --> 00:43:16,560 Speaker 3: but more so different you know, biological makeups or you know, 708 00:43:16,680 --> 00:43:19,799 Speaker 3: different health concerns or things of that nature. So we're 709 00:43:19,840 --> 00:43:23,640 Speaker 3: going to switch up the energy of our interview and Brittany, 710 00:43:23,640 --> 00:43:27,400 Speaker 3: because we recognize, appreciate, and celebrate the multifaceted woman, and 711 00:43:27,440 --> 00:43:30,280 Speaker 3: we believe that it's okay to be classy and ratchet 712 00:43:30,280 --> 00:43:33,120 Speaker 3: and you can still be elegant and dance to strip 713 00:43:33,120 --> 00:43:35,920 Speaker 3: club music. If you so choose, we want to invite 714 00:43:35,960 --> 00:43:39,800 Speaker 3: you to the oh you clatche yes, oh you clatch 715 00:43:39,840 --> 00:43:43,920 Speaker 3: it segment. So, Brittany, do you take on the challenge? 716 00:43:44,280 --> 00:43:49,640 Speaker 2: I do? I think I will. I love that response. 717 00:43:49,840 --> 00:43:53,840 Speaker 1: Yes, I love it, and so okay, we're going to 718 00:43:53,920 --> 00:43:58,760 Speaker 1: ease you into it. So the first question. You mentioned 719 00:43:58,760 --> 00:44:01,160 Speaker 1: this earlier, that part of what you've been doing during 720 00:44:01,200 --> 00:44:06,439 Speaker 1: the quarantine time is listening to versus battles. So out 721 00:44:06,440 --> 00:44:09,200 Speaker 1: of all of the versus battles that you've heard so far, 722 00:44:09,880 --> 00:44:11,120 Speaker 1: which one was your favorite? 723 00:44:11,360 --> 00:44:17,000 Speaker 5: Are you already know Antie Patty and Antique Gladder. I 724 00:44:17,120 --> 00:44:20,120 Speaker 5: said they should stop. There should be no more. I 725 00:44:20,360 --> 00:44:22,799 Speaker 5: don't understand where they're gonn to go, and we just 726 00:44:22,840 --> 00:44:27,280 Speaker 5: all agree. We all agree, and like it was healing 727 00:44:27,320 --> 00:44:27,880 Speaker 5: for the world. 728 00:44:28,560 --> 00:44:30,239 Speaker 2: It really was. I love it. 729 00:44:30,320 --> 00:44:32,800 Speaker 3: I love it, so Britty, let's see. Our next question 730 00:44:32,880 --> 00:44:37,080 Speaker 3: for you is if you had to choose, I say, 731 00:44:37,120 --> 00:44:41,200 Speaker 3: you're on the dance floor and one of your favorite 732 00:44:41,239 --> 00:44:44,200 Speaker 3: songs comes on, are you going to talk or two sets? 733 00:44:45,000 --> 00:44:50,919 Speaker 2: Okay, it's a situational am I a family of things? 734 00:44:52,040 --> 00:44:52,760 Speaker 3: That's a good point. 735 00:44:52,800 --> 00:44:54,880 Speaker 2: I'm with you. Listen at the club. 736 00:44:55,800 --> 00:44:56,560 Speaker 3: No family. 737 00:44:57,239 --> 00:45:00,439 Speaker 5: Well, if my family is listening for this, I will 738 00:45:00,440 --> 00:45:01,000 Speaker 5: two step. 739 00:45:03,000 --> 00:45:03,440 Speaker 2: I love it. 740 00:45:03,440 --> 00:45:05,800 Speaker 3: We're going to stick with the two steps. Wink point. 741 00:45:06,239 --> 00:45:09,200 Speaker 3: We got you, Brittany. 742 00:45:10,360 --> 00:45:15,000 Speaker 1: Okay, So since you're going to two step, what song 743 00:45:15,760 --> 00:45:18,600 Speaker 1: would get you to the dance floor to two step? 744 00:45:19,080 --> 00:45:19,239 Speaker 2: Oh? 745 00:45:19,280 --> 00:45:22,000 Speaker 5: My gosh before I let go, Well, I mean I 746 00:45:22,160 --> 00:45:24,760 Speaker 5: said the party is over, but I mean before it started. 747 00:45:24,880 --> 00:45:26,080 Speaker 2: I just it's many. 748 00:45:25,960 --> 00:45:29,440 Speaker 1: Things, right, yes, exactly, because. 749 00:45:29,200 --> 00:45:33,200 Speaker 2: The party started and shuts it down. It's everything that is. 750 00:45:33,200 --> 00:45:35,319 Speaker 3: A good one, that is a good one. And what 751 00:45:35,440 --> 00:45:38,680 Speaker 3: about when you think about your legacy and the work 752 00:45:38,719 --> 00:45:41,320 Speaker 3: that you're doing currently, how do you want to be remembered. 753 00:45:42,120 --> 00:45:45,399 Speaker 5: I think it's someone who's there to dream. And one 754 00:45:45,440 --> 00:45:49,320 Speaker 5: thing that I wanted to actually mention when we're discussing 755 00:45:49,480 --> 00:45:54,200 Speaker 5: earlier is that there is just unfortunately a lack of 756 00:45:54,239 --> 00:45:58,120 Speaker 5: representation of black women and econ. When I say a lack, 757 00:45:58,320 --> 00:46:03,080 Speaker 5: like less than point five percent of PhDs I think 758 00:46:03,880 --> 00:46:07,799 Speaker 5: twenty eighteen were awarded to black women. And I think 759 00:46:07,800 --> 00:46:12,759 Speaker 5: that the field is just so powerful because who do 760 00:46:12,800 --> 00:46:16,160 Speaker 5: we see on the face like once COVID hit, who 761 00:46:16,160 --> 00:46:20,600 Speaker 5: do we see behind the design of polisy and so 762 00:46:21,719 --> 00:46:25,400 Speaker 5: I think I just want to be remembered as someone 763 00:46:25,440 --> 00:46:30,080 Speaker 5: who dared to dream and be in space where I 764 00:46:30,160 --> 00:46:34,040 Speaker 5: just wanted to represent us as black women and to 765 00:46:34,080 --> 00:46:37,160 Speaker 5: be able to not just give a voice to us, 766 00:46:37,200 --> 00:46:39,640 Speaker 5: but give a voice to those who may not be 767 00:46:40,200 --> 00:46:44,319 Speaker 5: in the room. So just offering an alternative perspective, and 768 00:46:44,360 --> 00:46:48,879 Speaker 5: I think it's critical to have an alternative perspective when 769 00:46:49,400 --> 00:46:53,719 Speaker 5: you're shaping policy for a very diverse US population. 770 00:46:54,719 --> 00:47:01,200 Speaker 1: Oh my gosh, thank you so much Brittany for joining 771 00:47:01,360 --> 00:47:06,080 Speaker 1: us today in her space. I hope that our listeners 772 00:47:06,239 --> 00:47:12,520 Speaker 1: are really taking in the perspective that you've shared, and 773 00:47:12,560 --> 00:47:16,920 Speaker 1: that hopefully some of our listeners will hear it and 774 00:47:17,920 --> 00:47:22,000 Speaker 1: look you up and share your information with their daughters 775 00:47:22,080 --> 00:47:26,800 Speaker 1: so that their daughters can say, hey, I want to 776 00:47:26,840 --> 00:47:32,840 Speaker 1: pursue a career in economics, so that we're not having 777 00:47:34,320 --> 00:47:42,760 Speaker 1: only zo point five percent with PhDs in economics. So 778 00:47:42,880 --> 00:47:46,080 Speaker 1: thank you, Thank you again for being here with us 779 00:47:46,120 --> 00:47:50,360 Speaker 1: and shedding light on an area that a lot of 780 00:47:50,440 --> 00:47:57,160 Speaker 1: us are exposed to but don't necessarily know about. Right So, 781 00:47:57,160 --> 00:48:01,880 Speaker 1: for our listeners out there that I want to look 782 00:48:01,920 --> 00:48:05,040 Speaker 1: you up and connect with you because maybe they have 783 00:48:05,120 --> 00:48:08,680 Speaker 1: more questions to ask where can they find you? 784 00:48:10,160 --> 00:48:13,520 Speaker 5: So you can find me on Twitter at Brittany Wilcher 785 00:48:13,640 --> 00:48:16,719 Speaker 5: Brittany with am I b R I T N I 786 00:48:17,400 --> 00:48:21,000 Speaker 5: W I L C h E R again and find 787 00:48:21,000 --> 00:48:23,840 Speaker 5: me on Twitter at Britney Wilcher Brittany with and I. 788 00:48:24,440 --> 00:48:27,920 Speaker 3: Thank you so much, Brittany. We appreciate you, yes, and 789 00:48:28,040 --> 00:48:29,640 Speaker 3: we're happy that we were able to have you in 790 00:48:29,680 --> 00:48:33,800 Speaker 3: her Space. Hey lady, it's Terry here from the Herspace 791 00:48:33,840 --> 00:48:36,880 Speaker 3: podcast and I have a question for you. Do you 792 00:48:36,960 --> 00:48:40,000 Speaker 3: want to start your own podcast? Have you been thinking 793 00:48:40,040 --> 00:48:42,880 Speaker 3: to yourself, you know what, I want to start a podcast, 794 00:48:42,920 --> 00:48:45,799 Speaker 3: but you just haven't taken the leap. If that's you, 795 00:48:46,280 --> 00:48:50,560 Speaker 3: I got you. I'm hosting a free podcasting masterclass where 796 00:48:50,600 --> 00:48:52,759 Speaker 3: I'm going to teach you how to create your own 797 00:48:52,760 --> 00:48:55,919 Speaker 3: podcast from start to finish. So visit Terry Limax dot 798 00:48:55,920 --> 00:48:57,920 Speaker 3: com and click on the pink link in the middle 799 00:48:57,960 --> 00:49:02,600 Speaker 3: of your screen and register for my free podcasting masterclass. 800 00:49:03,120 --> 00:49:06,759 Speaker 3: Today's episode is sure to provide you with motivation, inspiration, 801 00:49:07,120 --> 00:49:10,480 Speaker 3: or even a fresh perspective. If you have any AHA 802 00:49:10,600 --> 00:49:13,960 Speaker 3: moments or if you feel comforted throughout the episode, lady, 803 00:49:14,000 --> 00:49:15,960 Speaker 3: please leave us a review. And tell us what we're 804 00:49:15,960 --> 00:49:18,160 Speaker 3: doing right so we can stay on track. Also, we 805 00:49:18,280 --> 00:49:21,400 Speaker 3: release episodes every Friday, so be sure to subscribe on 806 00:49:21,440 --> 00:49:24,960 Speaker 3: iTunes and visit herspacepodcast dot com and enter your email 807 00:49:24,960 --> 00:49:27,600 Speaker 3: address to get updates about our live events and all 808 00:49:27,760 --> 00:49:30,279 Speaker 3: the new beginnings that we have for this year. 809 00:49:30,800 --> 00:49:35,480 Speaker 6: Thanks for joining us today in her Space. Please note 810 00:49:35,520 --> 00:49:39,920 Speaker 6: that our show may contain conversations about self help, advice, 811 00:49:40,400 --> 00:49:43,719 Speaker 6: self empowerment, and mental health, but it is by no 812 00:49:43,880 --> 00:49:47,160 Speaker 6: means meant to be a substitute for an ongoing formal 813 00:49:47,280 --> 00:49:51,960 Speaker 6: relationship with a trained mental health provider. If you are 814 00:49:52,000 --> 00:49:54,879 Speaker 6: someone you know is in need of mental health care, 815 00:49:55,400 --> 00:49:59,560 Speaker 6: please visit the Therapy for Black Girls directory Psychology today 816 00:50:00,160 --> 00:50:02,000 Speaker 6: or contact your insurance provider. 817 00:50:02,520 --> 00:50:04,200 Speaker 3: If you liked what you heard and want to keep 818 00:50:04,239 --> 00:50:07,640 Speaker 3: the conversation going, connect with us on Facebook, Instagram, and 819 00:50:07,719 --> 00:50:12,600 Speaker 3: Twitter at her space podcast or check out our website 820 00:50:12,600 --> 00:50:16,840 Speaker 3: at herspacepodcast dot com. And before we meet again, repeat 821 00:50:16,920 --> 00:50:20,759 Speaker 3: after me. Although my plans may change, I will stay 822 00:50:20,800 --> 00:50:22,200 Speaker 3: committed to my purpose. 823 00:50:23,200 --> 00:50:24,680 Speaker 1: We'll see you next week, Lady