1 00:00:00,200 --> 00:00:02,640 Speaker 1: Whether or not you think black women are human is 2 00:00:02,720 --> 00:00:05,080 Speaker 1: quite literally irrelevant, because at the end of the day, 3 00:00:05,480 --> 00:00:08,039 Speaker 1: the economy is still going to take my money. 4 00:00:13,440 --> 00:00:15,160 Speaker 2: There are No Girls on the Internet is a production 5 00:00:15,200 --> 00:00:22,720 Speaker 2: of iHeartRadio and Unbossed Creative. I'm bridget Todd, and this 6 00:00:22,800 --> 00:00:27,480 Speaker 2: is there are No Girls on the Internet. It has 7 00:00:27,560 --> 00:00:30,760 Speaker 2: been a rough time for layoffs across the diversity of sectors. 8 00:00:31,520 --> 00:00:33,000 Speaker 3: We've seen layoffs and media. 9 00:00:33,520 --> 00:00:36,000 Speaker 2: Here's what one producer had to say after being laid 10 00:00:36,000 --> 00:00:37,479 Speaker 2: off at CBS. 11 00:00:38,400 --> 00:00:41,240 Speaker 4: I just got laid off from my job at CBS, 12 00:00:41,880 --> 00:00:45,919 Speaker 4: and every producer on my team who got laid off 13 00:00:46,000 --> 00:00:48,879 Speaker 4: is a person of color. Every person who gets to 14 00:00:48,920 --> 00:00:51,240 Speaker 4: stay and will be relocated within the company is a 15 00:00:51,240 --> 00:00:51,760 Speaker 4: white person. 16 00:00:53,120 --> 00:00:56,800 Speaker 2: Teen Vogue wants a bastion of political coverage for young people, 17 00:00:57,120 --> 00:01:00,400 Speaker 2: laid off every black woman on their team before merging 18 00:01:00,400 --> 00:01:04,520 Speaker 2: with Regular Vogue. Not to mention tech, where layoffs have 19 00:01:04,720 --> 00:01:08,679 Speaker 2: overwhelmingly impacted black women who not even that long ago, 20 00:01:08,800 --> 00:01:12,120 Speaker 2: were being told by social media that getting a cushy 21 00:01:12,200 --> 00:01:15,800 Speaker 2: job in tech was the key to economic stability long term. 22 00:01:16,760 --> 00:01:20,240 Speaker 2: So most of us are worried about the economy right now, 23 00:01:21,160 --> 00:01:23,960 Speaker 2: but at the same time we're also being told everything 24 00:01:24,040 --> 00:01:27,000 Speaker 2: is fine and that the economy is booming, So it 25 00:01:27,000 --> 00:01:30,080 Speaker 2: feels like something is an adding up. So maybe it's 26 00:01:30,120 --> 00:01:32,640 Speaker 2: time to look at one of the only economic indicators 27 00:01:32,680 --> 00:01:36,520 Speaker 2: that actually tells the truth, black women. Because if you 28 00:01:36,560 --> 00:01:38,960 Speaker 2: want to know how healthy the economy really. 29 00:01:38,760 --> 00:01:42,360 Speaker 3: Is, look at us. We're the canary in the coal mine. 30 00:01:42,800 --> 00:01:45,240 Speaker 2: When things start to crack and layoffs start to hit, 31 00:01:45,480 --> 00:01:47,840 Speaker 2: when wages stall, it shows up in. 32 00:01:47,880 --> 00:01:48,960 Speaker 3: Our numbers first. 33 00:01:49,640 --> 00:01:52,120 Speaker 2: So when you see a spike in unemployment among black women, 34 00:01:52,640 --> 00:01:56,760 Speaker 2: that's not just a statistic, that's a warning shot. And 35 00:01:56,800 --> 00:01:59,880 Speaker 2: in twenty twenty five, that warning shot has already been fired. 36 00:02:00,360 --> 00:02:03,360 Speaker 2: More than three hundred thousand Black women have left the workforce. 37 00:02:04,360 --> 00:02:07,640 Speaker 2: In a piece for Time magazine called rising unemployment among 38 00:02:07,680 --> 00:02:10,480 Speaker 2: Black women is a bad sign for the economy, and 39 00:02:10,520 --> 00:02:13,040 Speaker 2: A gifty, author of the new book The Double Tax, 40 00:02:13,280 --> 00:02:17,160 Speaker 2: and Mary Anne Cooper, senior research scholar at Stanford University's 41 00:02:17,240 --> 00:02:21,040 Speaker 2: VMware Women's Leadership Innovation Lab, are sounding the alarm about 42 00:02:21,040 --> 00:02:24,160 Speaker 2: black women's economic realities and why all of us should 43 00:02:24,160 --> 00:02:26,840 Speaker 2: be paying attention. So I have this sense that we're 44 00:02:26,880 --> 00:02:28,520 Speaker 2: not being told the full story when it comes to 45 00:02:28,520 --> 00:02:31,440 Speaker 2: the economy. We're being told the economy is great, no problems, 46 00:02:31,480 --> 00:02:32,080 Speaker 2: it's booming. 47 00:02:32,360 --> 00:02:35,880 Speaker 1: Yet everyone I know is worried. How can we get 48 00:02:35,880 --> 00:02:36,959 Speaker 1: to a more complete story. 49 00:02:38,120 --> 00:02:43,040 Speaker 5: It has been a repeated pattern over time that black 50 00:02:43,120 --> 00:02:46,880 Speaker 5: women are the Canarian, the coal mine. They're the first 51 00:02:46,880 --> 00:02:50,000 Speaker 5: to let us know that there may be something about 52 00:02:50,040 --> 00:02:52,680 Speaker 5: to go down in the economy in a negative direction, 53 00:02:53,360 --> 00:02:58,040 Speaker 5: and that very often those warning signs are ignored, and 54 00:02:58,120 --> 00:03:02,600 Speaker 5: so Anna and I were seeing that play out. But yes, 55 00:03:02,680 --> 00:03:05,520 Speaker 5: it can be really difficult to know what's happening, which 56 00:03:05,520 --> 00:03:07,799 Speaker 5: is why you go back to historical patterns. And when 57 00:03:07,840 --> 00:03:10,680 Speaker 5: we went back and really looked at everything, we saw 58 00:03:11,320 --> 00:03:13,000 Speaker 5: that black women right now are. 59 00:03:13,080 --> 00:03:15,040 Speaker 6: It's really it's really troubling. 60 00:03:15,320 --> 00:03:18,360 Speaker 1: Even in recent times, I've seeing sort of an uptick 61 00:03:18,400 --> 00:03:22,480 Speaker 1: in black women's unemployment or black folks unemployment and then 62 00:03:22,760 --> 00:03:26,000 Speaker 1: seeing some sort of economic crisis follow It's been interesting. 63 00:03:26,160 --> 00:03:29,240 Speaker 1: I've been following the discourse on econ Twitter, which has 64 00:03:29,360 --> 00:03:32,560 Speaker 1: essentially become econ Blue Sky, where you know, Karns are 65 00:03:32,560 --> 00:03:35,960 Speaker 1: trying to figure out right, like, you know, are black 66 00:03:35,960 --> 00:03:38,360 Speaker 1: folks actually the real canary and the coal mine? Because 67 00:03:39,720 --> 00:03:41,240 Speaker 1: they say, you know, it's not in the data. We're 68 00:03:41,440 --> 00:03:44,680 Speaker 1: not seeing that, but I would argue it's because the 69 00:03:44,760 --> 00:03:48,320 Speaker 1: folks who do ask those types of questions, their analysis 70 00:03:48,440 --> 00:03:52,520 Speaker 1: is not really lifted up in the mainstream discourse about 71 00:03:52,520 --> 00:03:55,000 Speaker 1: the economy. And so when you kind of asked the 72 00:03:55,080 --> 00:03:56,800 Speaker 1: question of you know, are we being told everything? 73 00:03:57,240 --> 00:03:58,360 Speaker 3: I would actually argue. 74 00:03:58,120 --> 00:04:02,480 Speaker 1: That people are providing answers to better understand the economy 75 00:04:02,640 --> 00:04:05,160 Speaker 1: as a whole, especially as it relates to marginalized groups. 76 00:04:05,640 --> 00:04:10,680 Speaker 1: But some of those answers are quite frankly, not the amplified, 77 00:04:10,800 --> 00:04:13,160 Speaker 1: and that's because of who's actually providing those answers in 78 00:04:13,160 --> 00:04:13,720 Speaker 1: the first place. 79 00:04:15,320 --> 00:04:16,000 Speaker 3: I feel that. 80 00:04:15,840 --> 00:04:18,440 Speaker 2: That's always tail as old as time. It's not that 81 00:04:18,520 --> 00:04:22,440 Speaker 2: nobody is providing this information or doing this work just 82 00:04:22,480 --> 00:04:24,600 Speaker 2: about eddiething. You can imagine there is somebody who has 83 00:04:24,640 --> 00:04:27,960 Speaker 2: made this their life's work. The problem is that conversation 84 00:04:28,200 --> 00:04:31,520 Speaker 2: might not being be amplified, and frankly, it might not 85 00:04:31,560 --> 00:04:35,039 Speaker 2: be getting to the people who need to hear it most, right, right, 86 00:04:35,600 --> 00:04:36,560 Speaker 2: that's exactly right. 87 00:04:37,360 --> 00:04:40,400 Speaker 5: Yeah, Yeah, And that's another point that Anna and I 88 00:04:40,440 --> 00:04:42,760 Speaker 5: have talked about as we're working on this piece, is 89 00:04:43,320 --> 00:04:47,839 Speaker 5: you know, historically black women, like with the Great Recession, 90 00:04:48,720 --> 00:04:51,159 Speaker 5: you know, we were seeing foreclosure rates go up among 91 00:04:51,400 --> 00:04:55,760 Speaker 5: that group in particular, and even kind of in the 92 00:04:55,760 --> 00:04:57,960 Speaker 5: two thousand and six to two thousand and eight period, 93 00:04:58,720 --> 00:05:01,479 Speaker 5: you know, rising, you know, problems saying bills, all of 94 00:05:01,480 --> 00:05:05,960 Speaker 5: those things, but all too often, even the scholars and 95 00:05:06,000 --> 00:05:08,680 Speaker 5: the economists at the time who are flagging that it 96 00:05:08,680 --> 00:05:12,559 Speaker 5: gets overlooked by the mainstream however you want to define 97 00:05:12,560 --> 00:05:16,279 Speaker 5: that mainstream media other things. And what's bad about that, 98 00:05:16,720 --> 00:05:20,400 Speaker 5: First of all, it's it's leaving black women in the 99 00:05:20,400 --> 00:05:23,440 Speaker 5: eye of economic storm. But it's also means that we 100 00:05:23,960 --> 00:05:29,159 Speaker 5: lose the opportunity to intervene more quickly and start to 101 00:05:29,320 --> 00:05:33,800 Speaker 5: prevent this widening economic downturn. And so I think that 102 00:05:34,080 --> 00:05:37,560 Speaker 5: the pattern, you know, social patterns don't just happen. 103 00:05:37,560 --> 00:05:38,840 Speaker 6: They're not just accidents. 104 00:05:39,279 --> 00:05:43,719 Speaker 5: And I think it's just a larger reflection of how 105 00:05:43,800 --> 00:05:47,400 Speaker 5: black women are are ignored and overlooked more broadly in 106 00:05:47,440 --> 00:05:48,200 Speaker 5: our society. 107 00:05:48,600 --> 00:05:52,359 Speaker 1: Even this discourse that we're having right now is quite frankly, 108 00:05:52,400 --> 00:05:54,039 Speaker 1: to me and many other Black. 109 00:05:53,839 --> 00:05:57,360 Speaker 3: Women who study these topics, really surprising. Right. 110 00:05:57,440 --> 00:05:59,440 Speaker 1: So, when I saw that the lead story in the 111 00:05:59,480 --> 00:06:02,360 Speaker 1: New York Times Times was, you know, featuring the work 112 00:06:02,360 --> 00:06:05,760 Speaker 1: of Cottacker Roy around three hundred thousand black women leaving 113 00:06:05,760 --> 00:06:06,480 Speaker 1: the labor force. 114 00:06:07,080 --> 00:06:08,719 Speaker 3: This is not something that would have been a headline 115 00:06:08,760 --> 00:06:10,920 Speaker 3: even two years ago, right, And. 116 00:06:10,880 --> 00:06:13,320 Speaker 1: So there is sort of this shift now that we're 117 00:06:13,360 --> 00:06:16,560 Speaker 1: starting to see around at least black women being seen 118 00:06:16,600 --> 00:06:20,479 Speaker 1: as important to the economy, and you know, our position 119 00:06:20,680 --> 00:06:24,760 Speaker 1: being acknowledged as something that's meaningful to have this country 120 00:06:24,880 --> 00:06:28,440 Speaker 1: moves forward, but also you know how our job market 121 00:06:28,480 --> 00:06:30,559 Speaker 1: moves forward, how our labor force moves forward, et cetera. 122 00:06:30,920 --> 00:06:33,240 Speaker 1: And I think that that's actually a good thing that 123 00:06:33,279 --> 00:06:35,280 Speaker 1: we're starting to have this conversation out in the open. 124 00:06:35,480 --> 00:06:37,720 Speaker 1: And I'm really glad that marian and I have been 125 00:06:37,760 --> 00:06:40,440 Speaker 1: able to contribute towards that discourse as well. So it's 126 00:06:40,480 --> 00:06:43,200 Speaker 1: great that people are talking about this issue more. What 127 00:06:43,240 --> 00:06:45,440 Speaker 1: do you think has made people pay more attention to 128 00:06:45,640 --> 00:06:48,120 Speaker 1: black women's economic realities and what it means for all 129 00:06:48,120 --> 00:06:50,760 Speaker 1: of us. Why are we suddenly seeing headlines about this. 130 00:06:51,760 --> 00:06:54,719 Speaker 3: I think folks are just realizing, wait a minute, that's 131 00:06:54,720 --> 00:06:55,200 Speaker 3: a problem. 132 00:06:55,240 --> 00:06:59,239 Speaker 1: I would also say too, that the speed at which 133 00:06:59,720 --> 00:07:03,640 Speaker 1: black would have exited the labor force is very concerning 134 00:07:03,680 --> 00:07:05,520 Speaker 1: to a lot of people, because at least to me 135 00:07:05,640 --> 00:07:08,240 Speaker 1: and Marianna and I have had a conversation about this. 136 00:07:08,800 --> 00:07:13,920 Speaker 1: Another way to reframe this discussion is three hundred thousand breadwinners, 137 00:07:14,200 --> 00:07:18,120 Speaker 1: three hundred thousand taxpayers. Right, So we're not just talking 138 00:07:18,160 --> 00:07:22,240 Speaker 1: about this random minority women group over there that's not 139 00:07:22,280 --> 00:07:26,760 Speaker 1: really relevant to our overall economy in our society. We're 140 00:07:26,800 --> 00:07:31,120 Speaker 1: talking about people who contribute actual dollars to the GDP 141 00:07:31,400 --> 00:07:34,520 Speaker 1: of this country. What I like to say is, you know, 142 00:07:34,680 --> 00:07:37,120 Speaker 1: whether or not you think black women are human is 143 00:07:37,200 --> 00:07:39,560 Speaker 1: quite literally irrelevant because at the end of the day, 144 00:07:40,200 --> 00:07:44,679 Speaker 1: the economy is still gonna take my money, sure will. 145 00:07:45,040 --> 00:07:48,800 Speaker 1: So I'm not gonna go ahead and benchmark on your 146 00:07:48,840 --> 00:07:52,040 Speaker 1: bigotry because your bigotry ignores reality. 147 00:07:52,400 --> 00:07:55,160 Speaker 6: Yeah, I mean to build on some of those themes. 148 00:07:55,200 --> 00:07:59,280 Speaker 5: I think the other dynamic that's happening is our government 149 00:07:59,600 --> 00:08:04,920 Speaker 5: is telling us that these issues are are not important anymore, 150 00:08:05,200 --> 00:08:09,200 Speaker 5: and the going after and banning certain words, pulling funding 151 00:08:09,280 --> 00:08:13,760 Speaker 5: on certain kinds of studies. I think there is a 152 00:08:13,800 --> 00:08:17,960 Speaker 5: societal pushback to that, which is to say, actually, I'm 153 00:08:17,960 --> 00:08:21,400 Speaker 5: going to want to know more about those things. So 154 00:08:21,520 --> 00:08:24,880 Speaker 5: when you know, when when women and racism and those 155 00:08:24,960 --> 00:08:29,600 Speaker 5: kinds of words become targeted by the government and essentially 156 00:08:30,120 --> 00:08:34,040 Speaker 5: effectively trying to silence any research or discussion on those things. 157 00:08:33,800 --> 00:08:37,120 Speaker 5: That what that can do is say, huh, why why 158 00:08:37,120 --> 00:08:40,199 Speaker 5: are they trying to do that and putting more putting 159 00:08:40,240 --> 00:08:42,679 Speaker 5: the idea into people's minds that maybe we should know 160 00:08:42,760 --> 00:08:45,840 Speaker 5: more about this. So I think there's that that's part 161 00:08:45,880 --> 00:08:47,120 Speaker 5: of the story as well. 162 00:08:47,600 --> 00:08:50,040 Speaker 6: And then you know, we were living. 163 00:08:49,800 --> 00:08:53,320 Speaker 5: Through a wild moment historically, I mean the pandemic. We're 164 00:08:53,360 --> 00:08:55,679 Speaker 5: not that many years out from the start of it, 165 00:08:56,600 --> 00:09:00,120 Speaker 5: and it during that time with the she session and 166 00:09:00,160 --> 00:09:02,680 Speaker 5: that black women were hit you know, the heart, one 167 00:09:02,679 --> 00:09:05,320 Speaker 5: of the hardest, the groups that experienced, you know, some 168 00:09:05,360 --> 00:09:08,280 Speaker 5: of the biggest shocks and unemployment. And so that story 169 00:09:08,480 --> 00:09:12,320 Speaker 5: is not that far off the radar either. So I 170 00:09:12,320 --> 00:09:18,040 Speaker 5: think there's several different factors that creates the market and interest, 171 00:09:18,160 --> 00:09:20,080 Speaker 5: if you will, and all of this, and it's it's 172 00:09:20,120 --> 00:09:23,720 Speaker 5: frankly great to see and it is a change. 173 00:09:23,679 --> 00:09:26,640 Speaker 3: And you really spoke to something I think is super important, this. 174 00:09:26,679 --> 00:09:30,040 Speaker 2: Idea of well, you can you know, go along with 175 00:09:30,080 --> 00:09:33,920 Speaker 2: this administration not not see race and putting that in 176 00:09:34,120 --> 00:09:38,160 Speaker 2: heavy scare quotes, not think about things like gender, DEI. 177 00:09:37,720 --> 00:09:38,880 Speaker 3: Whatever, whatever you want to say. 178 00:09:39,080 --> 00:09:41,120 Speaker 2: But it's like that Beyonce quote, I always come back 179 00:09:41,160 --> 00:09:43,080 Speaker 2: to you when you play me, you play yourself right, 180 00:09:43,120 --> 00:09:45,480 Speaker 2: And so if you if you buy into that, you're 181 00:09:45,520 --> 00:09:48,439 Speaker 2: just going to end up being in the dark about 182 00:09:48,480 --> 00:09:52,679 Speaker 2: what is happening economically in your own household, regardless of 183 00:09:52,679 --> 00:09:55,400 Speaker 2: whether or not you're a black woman, regardless of how 184 00:09:55,480 --> 00:09:57,080 Speaker 2: you feel about black women personally. 185 00:09:57,360 --> 00:09:58,640 Speaker 3: First of all, we love Beyonce in. 186 00:09:58,520 --> 00:10:00,840 Speaker 1: This household, so thank you so much for or quoting 187 00:10:01,200 --> 00:10:01,880 Speaker 1: our good sis. 188 00:10:02,320 --> 00:10:04,480 Speaker 3: I will say too, you know. 189 00:10:04,400 --> 00:10:07,600 Speaker 1: I'm seeing a lot of folks being like you know, 190 00:10:07,720 --> 00:10:10,280 Speaker 1: I hate DEI I don't like diversity. I don't like 191 00:10:10,320 --> 00:10:14,240 Speaker 1: And the gag of the matter is maybe this country 192 00:10:14,280 --> 00:10:18,559 Speaker 1: is becoming diverse, whether you like it or not. Demographically, 193 00:10:18,760 --> 00:10:22,680 Speaker 1: we are headed towards a more diverse country, whether you 194 00:10:22,880 --> 00:10:23,480 Speaker 1: like it or not. 195 00:10:24,080 --> 00:10:26,319 Speaker 3: Gen Z was essentially half. 196 00:10:26,520 --> 00:10:31,760 Speaker 1: Minority, half majority right, majority white. Jen Alpha is now 197 00:10:32,240 --> 00:10:35,319 Speaker 1: majority minority, and the generation as for that is going 198 00:10:35,360 --> 00:10:40,240 Speaker 1: to be substantively majority minority rather than just majority white. 199 00:10:40,280 --> 00:10:44,520 Speaker 1: And I think that it's just irresponsible to not be 200 00:10:44,720 --> 00:10:49,920 Speaker 1: considering other groups because dealing with their inequalities makes you uncomfortable. 201 00:10:50,360 --> 00:10:52,520 Speaker 1: It's irresponsible, right, because at the end of the day. 202 00:10:53,160 --> 00:10:56,600 Speaker 1: These are real people, these are real lives. Folks are 203 00:10:56,600 --> 00:10:58,560 Speaker 1: trying to make a buck. Folks are trying to make 204 00:10:58,559 --> 00:11:00,800 Speaker 1: a life. They're trying to make a living. And so 205 00:11:01,000 --> 00:11:05,480 Speaker 1: it's in nobody's best interest if a segment of our 206 00:11:05,520 --> 00:11:11,560 Speaker 1: population is not you know, reaping the fruits of their labor, 207 00:11:11,679 --> 00:11:15,520 Speaker 1: or are not benefiting from the economy that they're contributing towards. Right, 208 00:11:15,840 --> 00:11:20,240 Speaker 1: it builds resentment, but it also, quite frankly, it's kind 209 00:11:20,240 --> 00:11:22,920 Speaker 1: of stupid. Right, so people are like, oh, like, I'm 210 00:11:22,960 --> 00:11:25,319 Speaker 1: so sorry, I'm trying to be polite. 211 00:11:25,400 --> 00:11:28,040 Speaker 3: I can't. So it's like people are trying to say, like. 212 00:11:28,000 --> 00:11:29,760 Speaker 1: Oh, you know, why do we have to care about 213 00:11:29,800 --> 00:11:31,920 Speaker 1: those black folks because those black folks make up twelve 214 00:11:32,000 --> 00:11:34,960 Speaker 1: percent of your population. Let me put it like this, 215 00:11:35,440 --> 00:11:39,199 Speaker 1: if twelve percent of your body wasn't working, do you 216 00:11:39,240 --> 00:11:39,839 Speaker 1: think you would be. 217 00:11:39,760 --> 00:11:41,880 Speaker 3: Functioning right now? Absolutely? 218 00:11:41,920 --> 00:11:42,000 Speaker 1: Not? 219 00:11:42,160 --> 00:11:44,199 Speaker 3: All right then, and I rest my case. 220 00:11:45,960 --> 00:11:49,680 Speaker 5: Well, and just that we won't have you know, there's 221 00:11:49,720 --> 00:11:52,880 Speaker 5: all these these forces that are coming together to shape, 222 00:11:54,080 --> 00:11:56,280 Speaker 5: to shape the dynamics that that Anna is laying out, 223 00:11:56,320 --> 00:11:59,640 Speaker 5: but that that we won't have enough people. I mean, 224 00:11:59,640 --> 00:12:02,199 Speaker 5: we already know that with the lower you know, lower 225 00:12:02,200 --> 00:12:04,960 Speaker 5: birth rates and things like that, and so we're going 226 00:12:05,040 --> 00:12:09,439 Speaker 5: to need not just that our own population has become 227 00:12:09,520 --> 00:12:12,080 Speaker 5: much more diverse, and especially in the younger you know, 228 00:12:12,120 --> 00:12:14,600 Speaker 5: now I think we're jen alpha is on the scene, 229 00:12:15,600 --> 00:12:17,119 Speaker 5: but we will need immigration. 230 00:12:17,600 --> 00:12:19,520 Speaker 6: There is actually really no way that. 231 00:12:19,520 --> 00:12:23,640 Speaker 5: We'll be able to sustain ourselves, like economically in terms 232 00:12:23,679 --> 00:12:26,080 Speaker 5: of innovation and just jobs that need to be filled. So, 233 00:12:27,080 --> 00:12:30,880 Speaker 5: you know, dealing with questions around you know, race and 234 00:12:30,880 --> 00:12:35,520 Speaker 5: ethnicity and you know, immigrant status and all those things engineerous. 235 00:12:35,520 --> 00:12:40,400 Speaker 5: It's not going away, despite people maybe wanting it to 236 00:12:40,440 --> 00:12:40,920 Speaker 5: go away. 237 00:12:41,520 --> 00:12:44,440 Speaker 2: Both of you have referenced this idea of black women 238 00:12:44,480 --> 00:12:47,199 Speaker 2: as these canaries and a coal mine when it comes 239 00:12:47,240 --> 00:12:49,600 Speaker 2: to the health of our economy. We have talked about 240 00:12:49,679 --> 00:12:51,679 Speaker 2: how black women and the health and well being of 241 00:12:51,720 --> 00:12:54,720 Speaker 2: black woman is an indicator, like we talk about it 242 00:12:54,760 --> 00:12:56,280 Speaker 2: when we talk about like the health and well being 243 00:12:56,360 --> 00:12:58,280 Speaker 2: of the internet. How black women are treated on these 244 00:12:58,320 --> 00:13:01,760 Speaker 2: spaces really does say a lot about the overall safety 245 00:13:01,800 --> 00:13:03,840 Speaker 2: and health of these spaces. But when it comes to 246 00:13:04,640 --> 00:13:07,679 Speaker 2: jobs and the economy, what does it look like in 247 00:13:07,760 --> 00:13:10,200 Speaker 2: practice for black women to be these canaries in the 248 00:13:10,240 --> 00:13:10,960 Speaker 2: coal mine. 249 00:13:10,840 --> 00:13:12,840 Speaker 3: Of the health of the economy. 250 00:13:13,760 --> 00:13:16,720 Speaker 1: So I'm a a ciple of a wonderful framework that's 251 00:13:16,720 --> 00:13:20,520 Speaker 1: been coined by Janelle Jones, one of my dearest friends 252 00:13:20,559 --> 00:13:22,959 Speaker 1: in the economic space, and. 253 00:13:23,280 --> 00:13:24,760 Speaker 3: It's called Black Women Best. 254 00:13:25,840 --> 00:13:28,360 Speaker 1: Black Women Best basically argues that the best outcome for 255 00:13:28,440 --> 00:13:31,079 Speaker 1: Black women is a better outcome for everyone else. 256 00:13:31,120 --> 00:13:33,200 Speaker 3: I think the way that Janelle and Angela. 257 00:13:32,920 --> 00:13:37,280 Speaker 1: Hanks have put it, along with Kendra Bozarth, is if 258 00:13:37,280 --> 00:13:40,079 Speaker 1: the economy is working for Black women, it's more than 259 00:13:40,200 --> 00:13:41,520 Speaker 1: likely working for everyone else. 260 00:13:41,559 --> 00:13:42,160 Speaker 3: And I think the. 261 00:13:42,120 --> 00:13:44,959 Speaker 1: Way to frame this is, you know, think about a 262 00:13:45,040 --> 00:13:49,360 Speaker 1: ven diagram, but each circle represents a different group within 263 00:13:49,400 --> 00:13:55,280 Speaker 1: our society. Black women are dead center of the overlapping 264 00:13:55,520 --> 00:13:57,199 Speaker 1: circles in our society. 265 00:13:57,840 --> 00:14:00,800 Speaker 3: Right, we're working class, we're middle class. Some times we're poor. 266 00:14:01,559 --> 00:14:05,880 Speaker 1: We're highly educated, we have student debt, we're breadwinners for mothers, 267 00:14:06,360 --> 00:14:11,480 Speaker 1: we're caregivers. Right, we serve a very important economic role 268 00:14:11,880 --> 00:14:13,080 Speaker 1: amongst women. 269 00:14:13,120 --> 00:14:16,800 Speaker 3: In our society. Specifically, black women have the highest labor 270 00:14:16,800 --> 00:14:20,280 Speaker 3: force participation rate, meaning that we work, quite frankly, the 271 00:14:20,360 --> 00:14:24,920 Speaker 3: hardest within our labor force, within our job market. And so. 272 00:14:26,400 --> 00:14:31,280 Speaker 1: When we think about policies, especially economic policies, dealing with 273 00:14:31,640 --> 00:14:33,480 Speaker 1: sort of the job market, the labor force as it 274 00:14:33,480 --> 00:14:37,320 Speaker 1: pertains to black women. Black women are really telling you. 275 00:14:37,320 --> 00:14:40,440 Speaker 3: About a lot of people's different experiences. 276 00:14:40,280 --> 00:14:43,240 Speaker 1: In one fell swoop, right, Because if we are a 277 00:14:43,400 --> 00:14:47,920 Speaker 1: dead center experience for our current society, especially amongst those 278 00:14:47,920 --> 00:14:51,760 Speaker 1: who are most marginalized and who face inequality, then what's 279 00:14:51,800 --> 00:14:54,280 Speaker 1: happening to us is probably giving you insight to what's 280 00:14:54,280 --> 00:14:56,560 Speaker 1: happening to the white guy who's also struggling with the 281 00:14:56,640 --> 00:14:59,120 Speaker 1: job market, or what's happening to the Latina mother who's 282 00:14:59,160 --> 00:15:02,000 Speaker 1: also trying to make end meet. And so it's important 283 00:15:02,040 --> 00:15:04,880 Speaker 1: to pay attention to what's taking place with us as 284 00:15:04,920 --> 00:15:07,440 Speaker 1: canaries and the coal mine, so to speak, because of 285 00:15:07,480 --> 00:15:11,560 Speaker 1: these overlapping experiences that we encompass in our own lived 286 00:15:11,760 --> 00:15:14,800 Speaker 1: experience and in our own identity. But I would also 287 00:15:14,880 --> 00:15:18,400 Speaker 1: say too that the Black Women Best framework really argues 288 00:15:18,440 --> 00:15:19,600 Speaker 1: that black women. 289 00:15:20,400 --> 00:15:23,440 Speaker 3: Are the tie that lifts all boats. And so in 290 00:15:23,480 --> 00:15:26,160 Speaker 3: the book that I wrote, The Double Tax, I basically 291 00:15:26,200 --> 00:15:30,520 Speaker 3: say that what black women are currently experiencing right now 292 00:15:30,640 --> 00:15:34,840 Speaker 3: is the double tax, this compounded cost of racism and sexism, which, 293 00:15:34,880 --> 00:15:38,280 Speaker 3: like I said before, overlaps with all these other experiences 294 00:15:38,480 --> 00:15:39,680 Speaker 3: that people are dealing with. 295 00:15:40,080 --> 00:15:42,560 Speaker 1: But what I say is that if you don't address 296 00:15:42,600 --> 00:15:46,480 Speaker 1: these individual costs that these black women women of color 297 00:15:46,560 --> 00:15:50,320 Speaker 1: are dealing with day to day, they become societal. 298 00:15:49,840 --> 00:15:51,640 Speaker 3: Costs down the line. 299 00:15:51,680 --> 00:15:54,760 Speaker 1: And another way I would visualize this is what happens 300 00:15:54,800 --> 00:15:56,920 Speaker 1: to black women first in terms of the Canary and 301 00:15:56,920 --> 00:15:59,800 Speaker 1: the coal mine, is almost like your neighbor's house catching 302 00:15:59,800 --> 00:16:03,280 Speaker 1: on fire down the street. You see it's three houses down, 303 00:16:03,520 --> 00:16:07,800 Speaker 1: You see the smoke, you smell the flames, and you 304 00:16:07,960 --> 00:16:09,600 Speaker 1: saying I'm not going to pay attention. Is like you 305 00:16:09,680 --> 00:16:11,240 Speaker 1: going back into the house and being like, I'm gonna 306 00:16:11,240 --> 00:16:15,120 Speaker 1: go ahead and watch another episode of Love Island. That's crazy, 307 00:16:15,480 --> 00:16:18,040 Speaker 1: you know, yes, Because at the end of the day, 308 00:16:18,280 --> 00:16:20,480 Speaker 1: if that fire catches the next house next to you, 309 00:16:20,520 --> 00:16:22,200 Speaker 1: guess who's house is about to go up to flames. 310 00:16:22,320 --> 00:16:23,400 Speaker 3: It's about to be your house. 311 00:16:23,800 --> 00:16:27,520 Speaker 1: So and it's your best interest to assure that the 312 00:16:27,560 --> 00:16:31,200 Speaker 1: whole neighborhood doesn't catch on fire because that house was 313 00:16:31,200 --> 00:16:31,680 Speaker 1: on fire. 314 00:16:34,880 --> 00:16:47,360 Speaker 7: Let's take a quick break at our back. 315 00:16:49,680 --> 00:16:52,400 Speaker 2: Okay, So we've been using that phrase canary in the 316 00:16:52,480 --> 00:16:55,720 Speaker 2: coal mine when we talk about how harms often impact 317 00:16:55,720 --> 00:17:00,240 Speaker 2: black women before they go unchecked and harm everyone oh 318 00:17:00,400 --> 00:17:03,680 Speaker 2: so much beyond that, because it's not just that everyone 319 00:17:03,720 --> 00:17:06,280 Speaker 2: should care about what happens to black women economically, because 320 00:17:06,280 --> 00:17:09,040 Speaker 2: if we're struggling, everyone else is about to be struggling too. 321 00:17:09,480 --> 00:17:12,440 Speaker 2: It's also that we are real people with real lives 322 00:17:12,480 --> 00:17:16,080 Speaker 2: and real families and real stories who are also a 323 00:17:16,160 --> 00:17:19,120 Speaker 2: really big part of our economy. There is no economy 324 00:17:19,160 --> 00:17:19,880 Speaker 2: without black women. 325 00:17:20,600 --> 00:17:26,240 Speaker 5: Black workers aren't important demographic just like every other demographic, 326 00:17:26,400 --> 00:17:30,640 Speaker 5: because they're people in our society. And so it's it's 327 00:17:30,720 --> 00:17:33,120 Speaker 5: whether or not they're the Canarian the coal mine, and 328 00:17:33,600 --> 00:17:36,439 Speaker 5: it's sort of and people actually reached out to me 329 00:17:36,480 --> 00:17:38,800 Speaker 5: after the piece saying, you know, it's just it's not 330 00:17:38,840 --> 00:17:41,399 Speaker 5: only because they're the Canarian the coal mine that we 331 00:17:41,520 --> 00:17:44,240 Speaker 5: need to care, right So it's it's Danna's point that 332 00:17:44,280 --> 00:17:46,840 Speaker 5: we need to make sure that everyone's able to contribute 333 00:17:47,920 --> 00:17:51,600 Speaker 5: in the economy in ways that are you know, secure 334 00:17:51,840 --> 00:17:56,000 Speaker 5: and with dignified work and all of those things, but 335 00:17:56,080 --> 00:18:01,960 Speaker 5: the other ways that they this group, historically marginalized groups 336 00:18:01,960 --> 00:18:04,399 Speaker 5: often are the first to be hit. Black women being 337 00:18:05,320 --> 00:18:08,520 Speaker 5: you know, in recession after recession, really like the they're 338 00:18:08,560 --> 00:18:11,159 Speaker 5: the first hit and the hardest hit and that's the 339 00:18:11,160 --> 00:18:13,639 Speaker 5: other thing is we can look at, Okay, who's whose 340 00:18:13,720 --> 00:18:17,080 Speaker 5: unemployment rates are going up, how quickly are they going up, 341 00:18:17,320 --> 00:18:20,520 Speaker 5: how long are they unemployed, like how hard is it 342 00:18:20,560 --> 00:18:24,080 Speaker 5: to find another job? And it does provide like a 343 00:18:24,119 --> 00:18:28,320 Speaker 5: window into likely what's about to happen to other groups 344 00:18:28,440 --> 00:18:32,040 Speaker 5: as this kind of the economic squeeze spreads across across 345 00:18:32,800 --> 00:18:36,080 Speaker 5: the larger economy. But the other thing I'd say I 346 00:18:36,119 --> 00:18:38,000 Speaker 5: was thinking about this morning is. 347 00:18:39,320 --> 00:18:39,760 Speaker 3: Worry. 348 00:18:39,920 --> 00:18:41,240 Speaker 6: And I think worry is an. 349 00:18:41,119 --> 00:18:44,399 Speaker 5: Interesting way of seeing into an economy where you know, 350 00:18:44,400 --> 00:18:47,400 Speaker 5: it's dynamic, it's hard to exactly know what's around the corner. 351 00:18:48,040 --> 00:18:51,040 Speaker 5: But the survey that we found that showed that we 352 00:18:51,119 --> 00:18:53,760 Speaker 5: write about in the article that showed, like, I mean what, 353 00:18:53,880 --> 00:18:57,920 Speaker 5: I was pretty shocked by the statistic, which is that 354 00:18:58,119 --> 00:19:02,280 Speaker 5: the there's been a massive increase in the percentage of 355 00:19:02,280 --> 00:19:05,080 Speaker 5: Black women who are saying that they're worried about or 356 00:19:05,119 --> 00:19:08,040 Speaker 5: have said that economic conditions have worsened over the last year. 357 00:19:08,160 --> 00:19:11,000 Speaker 5: So in twenty twenty four it was forty percent. It 358 00:19:11,160 --> 00:19:14,760 Speaker 5: jumped to eighty seven percent in twenty twenty five, Right, 359 00:19:14,880 --> 00:19:18,960 Speaker 5: So that's massive more Black women are worried right now 360 00:19:19,200 --> 00:19:22,560 Speaker 5: about routine and rising bills than at the you know, 361 00:19:22,600 --> 00:19:25,639 Speaker 5: than at the early part of the pandemic. So to me, 362 00:19:26,040 --> 00:19:27,920 Speaker 5: I think, you know, this is a group that you know, 363 00:19:28,000 --> 00:19:30,080 Speaker 5: it's kind of like here we go again. And I 364 00:19:30,119 --> 00:19:33,000 Speaker 5: feel like groups that have experienced this, they're they're faster 365 00:19:33,119 --> 00:19:36,080 Speaker 5: to see what's happening because it's hitting them and more 366 00:19:36,200 --> 00:19:38,639 Speaker 5: of more people in their community. They're connecting the dots 367 00:19:38,640 --> 00:19:41,720 Speaker 5: and they're seeing things and so as as sort of 368 00:19:41,720 --> 00:19:44,720 Speaker 5: an arbiter around like what is happening and how bad 369 00:19:44,760 --> 00:19:47,159 Speaker 5: could it be? Like this is the group that I 370 00:19:47,200 --> 00:19:51,600 Speaker 5: think has seized things the clearest. So the worry was 371 00:19:51,680 --> 00:19:55,840 Speaker 5: also made me made me pause. I think that they're 372 00:19:55,880 --> 00:19:57,399 Speaker 5: seeing it exactly as it is. 373 00:19:57,840 --> 00:20:01,240 Speaker 1: The last time we saw an up in black women's 374 00:20:01,280 --> 00:20:04,800 Speaker 1: worry was right at the very beginning of the COVID 375 00:20:04,920 --> 00:20:08,000 Speaker 1: nineteen pandemic. So you're saying that black women like me 376 00:20:08,200 --> 00:20:10,879 Speaker 1: have not been this worried since the early days of 377 00:20:10,920 --> 00:20:12,640 Speaker 1: the pandemic back in twenty twenty. 378 00:20:12,960 --> 00:20:14,240 Speaker 3: That seems bad to me. 379 00:20:15,480 --> 00:20:17,000 Speaker 5: We were working on this post for a while and 380 00:20:17,040 --> 00:20:19,040 Speaker 5: I was at a conference, and I was in a 381 00:20:19,080 --> 00:20:20,960 Speaker 5: hotel room, and I was like looking at all this 382 00:20:21,000 --> 00:20:23,719 Speaker 5: stuff and I it was just like whoa, I just 383 00:20:23,760 --> 00:20:26,520 Speaker 5: I like remember the moment that that kind of connected 384 00:20:26,520 --> 00:20:27,000 Speaker 5: in my brain. 385 00:20:27,080 --> 00:20:30,280 Speaker 6: I was like, oh, yeah, no, this is uh you know. 386 00:20:30,400 --> 00:20:33,160 Speaker 5: I mean it's always hard to know again because things 387 00:20:33,280 --> 00:20:36,200 Speaker 5: change and the economy is so it could be fast moving. 388 00:20:36,280 --> 00:20:41,159 Speaker 5: But I think that this group is telling us something 389 00:20:41,200 --> 00:20:43,720 Speaker 5: that's really important and we need to pay attention to 390 00:20:43,800 --> 00:20:46,880 Speaker 5: it because they're almost always right. 391 00:20:47,760 --> 00:20:50,800 Speaker 1: Right at the very beginning of COVID, I remember seeing 392 00:20:50,880 --> 00:20:54,240 Speaker 1: black women's unemployment shoot to seventeen percent. I think it 393 00:20:54,240 --> 00:20:57,200 Speaker 1: was sixteen point eight percent according to Economic Policy Institute. 394 00:20:57,920 --> 00:21:00,119 Speaker 1: And you know, we also saw that the recovery the 395 00:21:00,119 --> 00:21:03,359 Speaker 1: two thousand and eight financial crisis was way slower than 396 00:21:03,359 --> 00:21:05,760 Speaker 1: the people were expecting, right, and so black women were 397 00:21:06,240 --> 00:21:09,960 Speaker 1: quite frankly, the last group to recover from that crisis. 398 00:21:10,040 --> 00:21:13,200 Speaker 1: And that again speaks to the experiences of other people 399 00:21:13,359 --> 00:21:17,240 Speaker 1: who have overlapping experiences with black women that we're also 400 00:21:17,400 --> 00:21:21,159 Speaker 1: suffering hosts two thousand and eight. And so, you know, 401 00:21:21,480 --> 00:21:23,320 Speaker 1: I think a Mariam kind of hit the nail on 402 00:21:23,320 --> 00:21:25,400 Speaker 1: the head. It's not just that, you know, black women 403 00:21:25,400 --> 00:21:27,960 Speaker 1: are kind of a warning signal for what's happening with 404 00:21:28,160 --> 00:21:28,840 Speaker 1: our economy. 405 00:21:28,920 --> 00:21:29,440 Speaker 3: And beyond. 406 00:21:29,960 --> 00:21:33,040 Speaker 1: But it's also that this is a part of our economy, right, 407 00:21:33,359 --> 00:21:35,480 Speaker 1: So if a part of our economy is on fire, 408 00:21:36,200 --> 00:21:37,480 Speaker 1: we need to put that fire out. 409 00:21:37,560 --> 00:21:38,680 Speaker 3: And that means that we. 410 00:21:38,640 --> 00:21:41,520 Speaker 1: Need to pay attention to those worries that they're expressing, 411 00:21:41,960 --> 00:21:44,560 Speaker 1: and that we also need to ensure that the policy 412 00:21:44,640 --> 00:21:49,439 Speaker 1: solutions that are on the table are essentially accounting for that. 413 00:21:49,520 --> 00:21:52,560 Speaker 1: We've seen you know, Congresswoman Eleana Presley really call for 414 00:21:52,640 --> 00:21:56,680 Speaker 1: that by specifically addressing the Federal Reserve Board. 415 00:21:56,720 --> 00:21:58,200 Speaker 3: Share Jerome Powell. 416 00:21:57,840 --> 00:22:01,200 Speaker 1: And I think that we need more congressional leaders, local leaders, 417 00:22:01,520 --> 00:22:03,120 Speaker 1: and stay wide leaders to do the same. 418 00:22:03,760 --> 00:22:06,240 Speaker 2: I'm so glad you brought up that point that it's 419 00:22:06,320 --> 00:22:09,879 Speaker 2: not just about you know, job numbers. It's also the 420 00:22:09,920 --> 00:22:13,119 Speaker 2: important piece that black women are often the first to 421 00:22:13,119 --> 00:22:14,879 Speaker 2: get hit with a crisis and then the last to 422 00:22:15,040 --> 00:22:18,200 Speaker 2: experience that the recovery from that crisis. 423 00:22:18,480 --> 00:22:20,280 Speaker 3: What does that look like and what has the impact? 424 00:22:20,359 --> 00:22:20,560 Speaker 7: Ben? 425 00:22:21,119 --> 00:22:23,960 Speaker 5: Well, it doesn't look good, right, I mean, it's it's 426 00:22:24,000 --> 00:22:26,320 Speaker 5: it's it's really concerning. 427 00:22:26,359 --> 00:22:29,560 Speaker 8: I mean the other thing, as you know, as doing 428 00:22:29,600 --> 00:22:32,520 Speaker 8: the kind of work on this piece, was just you know, 429 00:22:32,560 --> 00:22:36,720 Speaker 8: the point that black women were still losing jobs when 430 00:22:36,720 --> 00:22:40,760 Speaker 8: they're great, recession was declared over, Like, how do you 431 00:22:40,800 --> 00:22:44,760 Speaker 8: declare a recession over when people are still losing their 432 00:22:44,840 --> 00:22:46,480 Speaker 8: jobs in sizable numbers? 433 00:22:46,800 --> 00:22:49,840 Speaker 6: So yeah, and I think what it. 434 00:22:49,760 --> 00:22:50,320 Speaker 3: Does is it. 435 00:22:51,800 --> 00:22:56,080 Speaker 6: That it it shows how hard. 436 00:22:55,960 --> 00:22:59,119 Speaker 5: That this this group in particular gets hit, but then 437 00:22:59,280 --> 00:23:06,159 Speaker 5: how little is done to actually kind of support the 438 00:23:06,280 --> 00:23:09,640 Speaker 5: group that is struggling the most. And why is that? 439 00:23:09,760 --> 00:23:12,560 Speaker 5: And then and then what the concern is over time 440 00:23:12,680 --> 00:23:16,080 Speaker 5: is that certain groups are less left worse off and 441 00:23:16,119 --> 00:23:18,720 Speaker 5: worse off and worse off, creating, you know, this kind 442 00:23:18,720 --> 00:23:22,160 Speaker 5: of effect that makes it even harder for for black 443 00:23:22,200 --> 00:23:25,000 Speaker 5: women to to get back to the other point about 444 00:23:25,000 --> 00:23:28,000 Speaker 5: black women best, Like my understanding is that you know, 445 00:23:28,000 --> 00:23:30,399 Speaker 5: we were barely back to a point for black women 446 00:23:30,520 --> 00:23:33,760 Speaker 5: where their their employment was had returned to where it 447 00:23:33,880 --> 00:23:35,119 Speaker 5: was pre pandemic. 448 00:23:35,800 --> 00:23:37,600 Speaker 6: Right, So now it's like this kind. 449 00:23:37,440 --> 00:23:41,520 Speaker 5: Of churning happening, and it's very difficult for people to 450 00:23:41,840 --> 00:23:45,960 Speaker 5: kind of get security, have any social mobility. And again 451 00:23:46,000 --> 00:23:49,000 Speaker 5: that has implications not just for those groups, but for 452 00:23:49,200 --> 00:23:50,919 Speaker 5: our economy overall. 453 00:23:51,560 --> 00:23:56,440 Speaker 1: Black women hold a very important economic position in their 454 00:23:56,480 --> 00:23:57,320 Speaker 1: communities and in. 455 00:23:57,320 --> 00:23:59,480 Speaker 3: Society at large. 456 00:23:59,640 --> 00:24:04,040 Speaker 1: So we know that quite a few mothers are breadwinners 457 00:24:04,520 --> 00:24:06,840 Speaker 1: in their house. So I don't know the number exactly, 458 00:24:08,520 --> 00:24:13,720 Speaker 1: but black mothers, I believe sixty nine percent of them 459 00:24:13,960 --> 00:24:16,159 Speaker 1: are the breadwinners of their household. 460 00:24:16,880 --> 00:24:19,880 Speaker 3: So just let's think about that for a second. They 461 00:24:19,920 --> 00:24:21,200 Speaker 3: have people relying on. 462 00:24:21,080 --> 00:24:27,640 Speaker 1: Them, kids, grandparents, relatives, sometimes family friends. 463 00:24:28,760 --> 00:24:31,400 Speaker 3: And so if you're losing income. 464 00:24:31,800 --> 00:24:37,600 Speaker 1: Because you're dealing with cuts to the federal workforce, cuts 465 00:24:37,600 --> 00:24:43,719 Speaker 1: to industries where you're discoforcedly represented, it's not just hurting 466 00:24:43,760 --> 00:24:49,480 Speaker 1: your pocketbook, it's hurting the economic future of your household. 467 00:24:50,440 --> 00:24:51,320 Speaker 3: And I think we need to. 468 00:24:51,320 --> 00:24:57,080 Speaker 1: Really contextualize what role black women, especially black mothers, are 469 00:24:57,119 --> 00:24:58,720 Speaker 1: playing in their communities. 470 00:24:58,800 --> 00:25:00,360 Speaker 3: They're upholding their community. 471 00:25:00,080 --> 00:25:06,080 Speaker 1: They're strengthening their communities through their dollars, through what they're 472 00:25:06,119 --> 00:25:09,000 Speaker 1: able to invest in with their dollars. And so what 473 00:25:09,080 --> 00:25:15,680 Speaker 1: happens when those dollars disappear. Entire communities are impacted. It's 474 00:25:15,680 --> 00:25:20,480 Speaker 1: so interesting. I had an event yesterday in DC and 475 00:25:20,560 --> 00:25:21,960 Speaker 1: so and I'd asked a question about, you know. 476 00:25:21,920 --> 00:25:25,840 Speaker 3: How are black men affected by what's happening to black women? Well, 477 00:25:25,880 --> 00:25:26,360 Speaker 3: black men. 478 00:25:26,640 --> 00:25:30,560 Speaker 1: Black men are in community with black women, and oftentimes 479 00:25:30,600 --> 00:25:34,399 Speaker 1: black men are being supported in some way by black women. 480 00:25:35,320 --> 00:25:38,879 Speaker 3: And so if black women lose, black men also lose. 481 00:25:39,840 --> 00:25:44,159 Speaker 1: Black children also lose, but also black men, black women, 482 00:25:44,480 --> 00:25:50,800 Speaker 1: all these different communities are in different places across our country. 483 00:25:51,240 --> 00:25:56,320 Speaker 1: They're not just right in a black neighborhood. They can 484 00:25:56,359 --> 00:25:59,199 Speaker 1: be in white neighborhood, they can be in mixed race neighborhoods. 485 00:25:59,320 --> 00:26:02,320 Speaker 1: They're in different class levels. So we're not talking just 486 00:26:02,359 --> 00:26:05,640 Speaker 1: about you know, this single are group and this vacuum 487 00:26:05,640 --> 00:26:08,960 Speaker 1: and this silo. We're talking about twelve percent, seven percent 488 00:26:09,000 --> 00:26:12,760 Speaker 1: in some kits for black women of the population. What 489 00:26:12,960 --> 00:26:16,880 Speaker 1: happens when seven percent of the population can't meaningfully contribute 490 00:26:17,359 --> 00:26:20,800 Speaker 1: to our economy. The answer is simple, our economy shrinks 491 00:26:21,040 --> 00:26:22,200 Speaker 1: and those communities suffer. 492 00:26:22,640 --> 00:26:28,480 Speaker 2: I mean, there's simply no way forward without black women politically, economically, socially, 493 00:26:29,119 --> 00:26:32,000 Speaker 2: family wise, community wise, We just we just we don't 494 00:26:32,040 --> 00:26:36,800 Speaker 2: get to where we're going without including us clocket exactly. 495 00:26:38,280 --> 00:26:38,840 Speaker 7: Not sorry. 496 00:26:42,359 --> 00:26:55,439 Speaker 2: More, after a quick break, let's get right back into it. 497 00:26:57,800 --> 00:27:00,960 Speaker 2: I was raised by an incredibly high at black women, 498 00:27:02,000 --> 00:27:05,960 Speaker 2: and honestly, it was a little intimidating. I always heard 499 00:27:06,000 --> 00:27:09,119 Speaker 2: people call my mom a superwoman because she never seemed 500 00:27:09,119 --> 00:27:12,399 Speaker 2: to drop a ball. She did everything and did it flawlessly. 501 00:27:13,480 --> 00:27:15,399 Speaker 2: But what I never really saw as a kid was 502 00:27:15,440 --> 00:27:18,440 Speaker 2: the cost of all that. Mom never got to rest, 503 00:27:18,480 --> 00:27:22,200 Speaker 2: she never got to stumble, she never got to just be. Yes, 504 00:27:22,359 --> 00:27:26,480 Speaker 2: black women are extraordinary, but we're not superheroes. I mean 505 00:27:26,520 --> 00:27:29,040 Speaker 2: shouldn't have to be. We shouldn't have to do it 506 00:27:29,080 --> 00:27:32,560 Speaker 2: all and prove our strength every single day just to survive, 507 00:27:33,160 --> 00:27:36,320 Speaker 2: because no matter how determined or brilliant you are, you 508 00:27:36,359 --> 00:27:39,760 Speaker 2: can't fix a broken system by yourself, and you can't 509 00:27:39,760 --> 00:27:43,520 Speaker 2: truly thrive inside one either. I wanted to get more 510 00:27:43,560 --> 00:27:45,840 Speaker 2: into this because you know, I'm a black woman. 511 00:27:45,840 --> 00:27:47,399 Speaker 3: I was raised by a black mom. 512 00:27:47,760 --> 00:27:52,520 Speaker 1: I do think there is a cultural attitude that, oh, 513 00:27:52,560 --> 00:27:55,320 Speaker 1: we'll figure it out. Black women will always figure it out. Well, 514 00:27:55,320 --> 00:27:57,680 Speaker 1: we'll do what needs to be done. But you can 515 00:27:57,760 --> 00:27:59,840 Speaker 1: only do so much when you were up against these 516 00:28:00,080 --> 00:28:03,440 Speaker 1: horses that are very clearly systemic and institutional. 517 00:28:03,520 --> 00:28:04,480 Speaker 3: Right, you can't. You can't. 518 00:28:05,080 --> 00:28:08,960 Speaker 1: Like black women are, we are strong, we are talented, 519 00:28:09,040 --> 00:28:12,040 Speaker 1: all of that, but like we can genuinely only do 520 00:28:12,160 --> 00:28:14,280 Speaker 1: so much up against forces like this that are so 521 00:28:14,680 --> 00:28:16,159 Speaker 1: ingrained and so systemic. 522 00:28:16,520 --> 00:28:19,800 Speaker 5: Yes, you can't individual your way out of you know, 523 00:28:20,280 --> 00:28:22,280 Speaker 5: systemic inequalities. 524 00:28:23,480 --> 00:28:26,520 Speaker 6: I think it is a important. 525 00:28:27,840 --> 00:28:30,520 Speaker 5: Like and and I think a lot of groups have 526 00:28:30,600 --> 00:28:34,560 Speaker 5: these like cultural narratives of how to cope with really 527 00:28:34,680 --> 00:28:38,440 Speaker 5: terrible stuff and really terrible times, and it is it 528 00:28:38,440 --> 00:28:41,960 Speaker 5: does I think foster resilience and hope and those things 529 00:28:42,000 --> 00:28:47,080 Speaker 5: are important. But it is not the answer to you know, 530 00:28:47,160 --> 00:28:50,520 Speaker 5: inadequate policy. It is not the answer to you know, 531 00:28:50,720 --> 00:28:53,440 Speaker 5: the double tax, for example, of the you know, the 532 00:28:53,480 --> 00:28:57,560 Speaker 5: compounding nature racism and sexism, and so I think, you know, 533 00:28:57,640 --> 00:29:00,640 Speaker 5: for a long time now, for for so long, there's 534 00:29:00,680 --> 00:29:05,760 Speaker 5: been calls for policies to address the real obstacles to 535 00:29:06,680 --> 00:29:11,800 Speaker 5: you know, Black women employment or mobility or opportunity, and 536 00:29:11,840 --> 00:29:16,320 Speaker 5: it just, you know, it's we have eras where it 537 00:29:16,320 --> 00:29:19,600 Speaker 5: feels like there's a lot of progress and then you know, 538 00:29:19,640 --> 00:29:22,600 Speaker 5: as soon as as some the things start to shift, 539 00:29:23,040 --> 00:29:25,719 Speaker 5: I feel like it comes back down hard again. And 540 00:29:25,760 --> 00:29:30,480 Speaker 5: that is again reflective of how black women are in 541 00:29:30,520 --> 00:29:33,960 Speaker 5: the eye of the economic storm because they are so 542 00:29:33,960 --> 00:29:35,040 Speaker 5: so marginalized. 543 00:29:35,680 --> 00:29:39,280 Speaker 3: I love what Marianne said there, you can't individual your 544 00:29:39,320 --> 00:29:42,680 Speaker 3: way through sort of these economic crises and inequality. 545 00:29:43,040 --> 00:29:45,200 Speaker 1: We're large, and that's also that's always been true. Actually, 546 00:29:45,240 --> 00:29:49,800 Speaker 1: I feel right like just across time, movements of people, 547 00:29:50,600 --> 00:29:53,800 Speaker 1: lots of people have pushed the thing, you know, pushed 548 00:29:53,840 --> 00:30:00,560 Speaker 1: our society forward. And I feel like, you know, if 549 00:30:00,560 --> 00:30:02,560 Speaker 1: I had to get like a very practical piece of 550 00:30:02,560 --> 00:30:06,080 Speaker 1: advice to people who are listening, especially black women, if 551 00:30:06,120 --> 00:30:07,840 Speaker 1: you have a union in your workplace, I need you 552 00:30:07,880 --> 00:30:12,760 Speaker 1: to join it, like yesterday, okay, so please join your union. 553 00:30:13,800 --> 00:30:15,680 Speaker 1: You can join your union as a grad student. I 554 00:30:15,720 --> 00:30:17,720 Speaker 1: know we love school. So if you want to, if 555 00:30:17,720 --> 00:30:20,200 Speaker 1: you want to go back to grad school, right, make 556 00:30:20,240 --> 00:30:23,680 Speaker 1: sure you join your grad school union. It's extremely important 557 00:30:23,680 --> 00:30:27,920 Speaker 1: that you're protected because what Marianne is saying is so true, 558 00:30:28,400 --> 00:30:32,560 Speaker 1: and also what you're saying too is speaking to you know, 559 00:30:32,640 --> 00:30:34,360 Speaker 1: our our shared lives experience. 560 00:30:34,800 --> 00:30:38,640 Speaker 3: But the reality is, like the labor market, the job 561 00:30:38,680 --> 00:30:44,920 Speaker 3: market more specifically fundamentally undervalues women's work, and even more 562 00:30:44,960 --> 00:30:49,959 Speaker 3: so undervalues Black women's work despite all of the sacrifices, 563 00:30:50,360 --> 00:30:53,080 Speaker 3: all of the hours, all of the effort that we 564 00:30:53,120 --> 00:30:56,160 Speaker 3: put through right or put put forth. And so it 565 00:30:56,240 --> 00:31:01,440 Speaker 3: is sometimes up to us collect actively to fight for 566 00:31:01,560 --> 00:31:04,440 Speaker 3: each other because you know, I hate to say like this, 567 00:31:04,560 --> 00:31:09,320 Speaker 3: but no one's coming to save us. They never have, right. 568 00:31:09,640 --> 00:31:13,920 Speaker 1: Oftentimes when we throw ourselves a lifeline, we actually end 569 00:31:13,960 --> 00:31:17,920 Speaker 1: up saving everybody else. And that's all to say that. 570 00:31:18,000 --> 00:31:21,479 Speaker 1: You know, of course other people need to be involved 571 00:31:21,520 --> 00:31:25,040 Speaker 1: in the process of making sure that marginalized groups like 572 00:31:25,120 --> 00:31:26,800 Speaker 1: black women are not falling behind. 573 00:31:27,000 --> 00:31:28,880 Speaker 3: But can I be honest with you, I don't really 574 00:31:28,920 --> 00:31:35,360 Speaker 3: trust people. I don't. I'm so sorry at Marianna's is right. 575 00:31:35,440 --> 00:31:38,600 Speaker 1: So my dissertation for the sake of the current climate 576 00:31:38,640 --> 00:31:41,360 Speaker 1: is talent development and acquisition. But what I really study 577 00:31:42,040 --> 00:31:44,640 Speaker 1: for those listening to make it really really hard for 578 00:31:44,680 --> 00:31:48,080 Speaker 1: your boss to be racist, to be a right. That's 579 00:31:48,120 --> 00:31:50,360 Speaker 1: what I do, and the way I do it is, 580 00:31:50,680 --> 00:31:53,520 Speaker 1: you know, I go by this saying, if you want 581 00:31:53,560 --> 00:31:56,640 Speaker 1: to be a biggot in your bathtub, be my guest. 582 00:31:57,000 --> 00:31:59,120 Speaker 1: If you want to bathe in the bubbles of bigger tree, 583 00:32:00,880 --> 00:32:02,160 Speaker 1: have a great time. 584 00:32:03,000 --> 00:32:06,680 Speaker 3: Okay, the moment you step outside, I'm gonna be right 585 00:32:06,680 --> 00:32:10,760 Speaker 3: there holding you accountable every time. Every time you open 586 00:32:10,800 --> 00:32:13,520 Speaker 3: your door, there's gonna be anna come out. So you're 587 00:32:13,520 --> 00:32:16,800 Speaker 3: gonna be a bigger today. Not on my watch, Not 588 00:32:16,920 --> 00:32:19,280 Speaker 3: on my watch. Take it back to the bathtub. Take 589 00:32:19,320 --> 00:32:22,200 Speaker 3: it back to the bath exactly right. Take it back 590 00:32:22,240 --> 00:32:22,960 Speaker 3: to the bathtub. 591 00:32:23,400 --> 00:32:25,920 Speaker 1: And so I think the way this is all to 592 00:32:26,000 --> 00:32:32,520 Speaker 1: say we underestimate the power of accountability, especially as a collective. 593 00:32:33,520 --> 00:32:35,920 Speaker 1: And this is not like cancel culture, but it is 594 00:32:35,960 --> 00:32:39,040 Speaker 1: to say that as researchers, Marian and I are researchers, 595 00:32:39,600 --> 00:32:43,000 Speaker 1: as people who are just who have platforms like yourself, 596 00:32:43,720 --> 00:32:46,320 Speaker 1: as folks who are just on the Internet and just 597 00:32:46,360 --> 00:32:50,320 Speaker 1: walking around, we have the power to say no, actually 598 00:32:50,400 --> 00:32:53,080 Speaker 1: we don't like that, you know. And we sew this 599 00:32:53,200 --> 00:32:57,560 Speaker 1: kind of unfold across the world. In South Korea when 600 00:32:57,560 --> 00:33:01,840 Speaker 1: that God was trying to take over it, they said, nah, 601 00:33:01,880 --> 00:33:04,239 Speaker 1: Now they just happen to have a population that knows 602 00:33:04,280 --> 00:33:04,960 Speaker 1: how to fight, right. 603 00:33:05,160 --> 00:33:10,040 Speaker 3: But that being said, they said no, we're not standing 604 00:33:10,080 --> 00:33:10,760 Speaker 3: for this, and. 605 00:33:10,680 --> 00:33:13,720 Speaker 1: They literally took to the streets. And I think that 606 00:33:13,880 --> 00:33:18,640 Speaker 1: we have that same spirit within us. And so if 607 00:33:18,680 --> 00:33:23,160 Speaker 1: you don't think that the world should be unfair, unjust 608 00:33:23,440 --> 00:33:26,440 Speaker 1: and unequal, you lock arms with somebody who believes the 609 00:33:26,480 --> 00:33:28,560 Speaker 1: same thing and you fight together. 610 00:33:28,920 --> 00:33:30,160 Speaker 3: That's how you move things forward. 611 00:33:30,840 --> 00:33:33,080 Speaker 6: It's hard to put into words where we are right now. 612 00:33:34,360 --> 00:33:35,760 Speaker 6: It's very scary. 613 00:33:36,040 --> 00:33:41,200 Speaker 5: It's we've had, you know, times in the past that 614 00:33:41,440 --> 00:33:43,520 Speaker 5: are seeming like they should have stayed in the past 615 00:33:43,560 --> 00:33:47,480 Speaker 5: that it just feels like, you know, a new fascist era. 616 00:33:47,720 --> 00:33:49,880 Speaker 6: But every day, like I keep thinking to. 617 00:33:49,800 --> 00:33:53,360 Speaker 5: Myself, all we have is each other, right, right, That's 618 00:33:53,440 --> 00:33:57,480 Speaker 5: really all we have because if the laws are changed 619 00:33:57,640 --> 00:34:00,600 Speaker 5: or they're not, you know, they're not in four or 620 00:34:00,880 --> 00:34:05,360 Speaker 5: you know. Anyway, I just think all we have is 621 00:34:05,400 --> 00:34:08,600 Speaker 5: each other. And and it's you know, collective action is 622 00:34:08,640 --> 00:34:11,960 Speaker 5: so powerful, and that's really how to the degree we've 623 00:34:11,960 --> 00:34:15,520 Speaker 5: been able to save ourselves. That's what that's been is 624 00:34:15,600 --> 00:34:18,520 Speaker 5: collective action social movements. And I think it, you know, 625 00:34:18,560 --> 00:34:21,480 Speaker 5: at a granular level, like what this looks like is 626 00:34:21,560 --> 00:34:25,040 Speaker 5: you know when people lose their jobs either because of 627 00:34:25,080 --> 00:34:30,480 Speaker 5: the economic forces or because they're targeted, or you know, 628 00:34:30,640 --> 00:34:32,440 Speaker 5: they posted something and you know. 629 00:34:32,560 --> 00:34:34,680 Speaker 6: They're they're fire for it. 630 00:34:34,800 --> 00:34:39,320 Speaker 5: Like I think it's it's being much more intentional about 631 00:34:39,560 --> 00:34:42,120 Speaker 5: how you are going to have other people's backs. 632 00:34:42,719 --> 00:34:45,759 Speaker 6: What does that look like? You know, that sort of 633 00:34:45,920 --> 00:34:50,920 Speaker 6: mutual aid approach. But I just it's you. 634 00:34:50,880 --> 00:34:53,640 Speaker 5: Know, we always have had moments of this, but this 635 00:34:53,880 --> 00:34:58,800 Speaker 5: is on a scale that is at least in my lifetime, 636 00:34:58,840 --> 00:35:04,239 Speaker 5: I haven't experienced it. So anyway, I just think we 637 00:35:04,360 --> 00:35:06,719 Speaker 5: have to be there for each other. And that's you know, 638 00:35:06,880 --> 00:35:08,759 Speaker 5: what does that mean that? I think it means like, 639 00:35:09,680 --> 00:35:11,839 Speaker 5: if you have a job to give someone, give it. 640 00:35:11,880 --> 00:35:13,560 Speaker 5: If you can give money, give it. If you can 641 00:35:13,600 --> 00:35:15,719 Speaker 5: be a source of support for someone, give it. But 642 00:35:15,840 --> 00:35:17,440 Speaker 5: it's you know, and this is going to be a 643 00:35:17,520 --> 00:35:28,319 Speaker 5: multi year so hopefully only a few Yes, we're allowing. 644 00:35:28,000 --> 00:35:31,160 Speaker 3: Me to keep from crying. Yeah, that's right, don't I 645 00:35:31,239 --> 00:35:32,200 Speaker 3: know it? That's right. 646 00:35:32,360 --> 00:35:34,960 Speaker 2: I want to double click on that idea because so 647 00:35:35,120 --> 00:35:37,080 Speaker 2: I live in Washington, d C. And one of the 648 00:35:37,080 --> 00:35:39,360 Speaker 2: big things here, as you both probably know, is the 649 00:35:40,239 --> 00:35:44,280 Speaker 2: just the massive scale of layoffs, so, you know, layoff 650 00:35:44,320 --> 00:35:48,000 Speaker 2: some government. I think that good stable government jobs have 651 00:35:48,080 --> 00:35:51,360 Speaker 2: been the backbone of economic stability, at least where I 652 00:35:51,400 --> 00:35:54,120 Speaker 2: live here in DC the mid Atlantic region. And we 653 00:35:54,239 --> 00:35:58,120 Speaker 2: saw a lot of black women, kind of career civil 654 00:35:58,160 --> 00:36:02,040 Speaker 2: servants or like long time government workers really being pushed 655 00:36:02,040 --> 00:36:05,200 Speaker 2: out of these jobs. And I cannot help but get 656 00:36:05,200 --> 00:36:07,439 Speaker 2: the idea that there was this sense that oh, well, 657 00:36:07,840 --> 00:36:10,279 Speaker 2: those black women didn't really deserve those jobs, or they 658 00:36:10,280 --> 00:36:13,320 Speaker 2: weren't unqualified, or they were just taking a white man spot. 659 00:36:13,680 --> 00:36:14,920 Speaker 3: Is this And I just feel that. 660 00:36:14,920 --> 00:36:18,440 Speaker 2: The way that that is talked about is with such 661 00:36:19,840 --> 00:36:23,680 Speaker 2: disregard and it almost it almost is like it's it's 662 00:36:23,719 --> 00:36:26,719 Speaker 2: like a sneeringness about these women who really have been 663 00:36:26,719 --> 00:36:29,000 Speaker 2: doing so much to keep our government running, doing sort 664 00:36:29,040 --> 00:36:32,080 Speaker 2: of thankless, probably unglamorous work. 665 00:36:32,680 --> 00:36:34,120 Speaker 3: Is this something that you all have seen? 666 00:36:35,200 --> 00:36:35,399 Speaker 7: Yes? 667 00:36:35,560 --> 00:36:37,040 Speaker 3: So you know what I. 668 00:36:36,960 --> 00:36:40,280 Speaker 1: Love about the double tax is that it really validates 669 00:36:41,000 --> 00:36:44,120 Speaker 1: black women's experiences and women of color more broadly, because 670 00:36:44,120 --> 00:36:44,680 Speaker 1: I think a lot of. 671 00:36:44,640 --> 00:36:47,120 Speaker 3: People will play in our face and say, you know, 672 00:36:48,120 --> 00:36:49,080 Speaker 3: like you you're not. 673 00:36:49,000 --> 00:36:51,719 Speaker 1: Really qualified for this, right, or oh, you know that 674 00:36:51,760 --> 00:36:54,240 Speaker 1: personally got in because they're a DEI high or whatever. 675 00:36:55,000 --> 00:36:58,560 Speaker 1: But we know from the data, right, is that black 676 00:36:58,600 --> 00:37:02,960 Speaker 1: women experience the highest and over the lowest promotion rates 677 00:37:03,480 --> 00:37:05,560 Speaker 1: and are more likely than any other group to be 678 00:37:05,600 --> 00:37:08,160 Speaker 1: labeled as low performers in the workplace. This is worked 679 00:37:08,160 --> 00:37:12,719 Speaker 1: by Elizabeth Lino, son As Mabasri and Nino Russe. We 680 00:37:12,840 --> 00:37:16,120 Speaker 1: know this, This is the data that's speaking. We also 681 00:37:16,200 --> 00:37:18,040 Speaker 1: know that when it comes to promotions, this is the 682 00:37:18,080 --> 00:37:21,640 Speaker 1: work of Marion Cooper and the Women in the Workplace Report. 683 00:37:21,719 --> 00:37:24,520 Speaker 1: I love citing this work in the book that for 684 00:37:24,640 --> 00:37:28,799 Speaker 1: every one hundred men who were promoted in the workplace 685 00:37:29,080 --> 00:37:33,719 Speaker 1: in twenty twenty four. On average, eighty one women were 686 00:37:33,719 --> 00:37:36,239 Speaker 1: promoted Black women. 687 00:37:36,600 --> 00:37:41,160 Speaker 3: It was fifty four, the lowest promotion rate amongst all 688 00:37:41,239 --> 00:37:45,480 Speaker 3: women groups. And so, you know, it's interesting. 689 00:37:45,840 --> 00:37:48,799 Speaker 1: I look at these stats and then I look at 690 00:37:48,840 --> 00:37:51,919 Speaker 1: the Black women that I know, and I think about 691 00:37:51,960 --> 00:37:53,680 Speaker 1: the ones that dot their eyes and cross. 692 00:37:53,480 --> 00:37:57,120 Speaker 3: Their teeth, which is mainly most of us. Quite frankly, yes, right, 693 00:37:57,800 --> 00:38:02,000 Speaker 3: because this is the reality. There's very little room for error, 694 00:38:02,840 --> 00:38:03,960 Speaker 3: very little room for error. 695 00:38:07,360 --> 00:38:09,759 Speaker 1: I know a little something about feeling like there's very 696 00:38:09,760 --> 00:38:13,640 Speaker 1: little room for error because black women, especially black women 697 00:38:13,680 --> 00:38:16,440 Speaker 1: in positions of power, are not really allowed to make 698 00:38:16,480 --> 00:38:18,160 Speaker 1: any kinds of mistakes on the job. 699 00:38:18,560 --> 00:38:20,920 Speaker 3: So we have to cross our lives and dot RTAs. 700 00:38:21,520 --> 00:38:24,080 Speaker 2: It's just the reality of being black women in the workplace, 701 00:38:24,120 --> 00:38:26,880 Speaker 2: because we know that it comes with already made attack 702 00:38:26,960 --> 00:38:29,120 Speaker 2: that you're only there in the first place because you're 703 00:38:29,120 --> 00:38:32,080 Speaker 2: a DEI higher. And we also know that it won't 704 00:38:32,120 --> 00:38:34,040 Speaker 2: take much for us to be on the chopping block. 705 00:38:34,520 --> 00:38:38,040 Speaker 2: Wants an example of a super qualified black woman being 706 00:38:38,080 --> 00:38:42,320 Speaker 2: mischaracterized as unqualified, just look at Lisa Cook. 707 00:38:43,400 --> 00:38:47,520 Speaker 1: So currently, what's happening in the news is you have 708 00:38:47,840 --> 00:38:51,480 Speaker 1: very prominent black women being attacked by the administration in 709 00:38:51,520 --> 00:38:54,200 Speaker 1: a number of different areas, but let me maybe talk 710 00:38:54,200 --> 00:38:56,720 Speaker 1: about the one that I know the most. So, Governor 711 00:38:56,760 --> 00:38:59,279 Speaker 1: Lisa Cook is a name that is now a household name. 712 00:38:59,320 --> 00:39:01,440 Speaker 3: I love that for her. I hate the reason why 713 00:39:01,480 --> 00:39:03,680 Speaker 3: it's a household name for right now, but you know, 714 00:39:03,760 --> 00:39:04,960 Speaker 3: her work is very brilliant. 715 00:39:05,840 --> 00:39:09,560 Speaker 1: So Governor Lisa Cook is an economist, a macro economist, 716 00:39:09,640 --> 00:39:12,560 Speaker 1: one of the best I would argue in the profession. 717 00:39:13,520 --> 00:39:16,560 Speaker 1: And she currently occupies a role in the Federal Reserve 718 00:39:16,640 --> 00:39:17,560 Speaker 1: Board of Governors. 719 00:39:18,040 --> 00:39:19,440 Speaker 3: For those who are like, I don't know. 720 00:39:19,400 --> 00:39:19,880 Speaker 7: What that is. 721 00:39:20,440 --> 00:39:23,560 Speaker 3: Does that affect me? Yes, it does affect you. 722 00:39:23,640 --> 00:39:26,320 Speaker 1: And what that is essentially is the group of economists 723 00:39:26,719 --> 00:39:30,080 Speaker 1: that manage the group of economists that manage the economy. Right, 724 00:39:30,680 --> 00:39:36,000 Speaker 1: So these individuals ultimately make the call on interest rates, 725 00:39:36,000 --> 00:39:37,839 Speaker 1: which I know folks have heard about, because if you're 726 00:39:37,840 --> 00:39:40,319 Speaker 1: going to get a loan to buy a house, you're 727 00:39:40,320 --> 00:39:43,440 Speaker 1: looking at interest rates, if you're gonna think about, you know, inflation, 728 00:39:44,120 --> 00:39:47,520 Speaker 1: you're thinking about the grocery prices at your local grocery store. 729 00:39:47,560 --> 00:39:49,719 Speaker 1: And so these are the individuals who are making those 730 00:39:49,760 --> 00:39:53,960 Speaker 1: really important decisions that reverberate not just through our economy, but. 731 00:39:54,000 --> 00:39:55,240 Speaker 3: Through the global economy. 732 00:39:55,320 --> 00:39:58,480 Speaker 1: Right, So it's not that what's happening here is just 733 00:39:58,560 --> 00:39:59,200 Speaker 1: happening here. 734 00:39:59,280 --> 00:40:01,040 Speaker 3: It's actual relevant for the UK. 735 00:40:01,360 --> 00:40:04,040 Speaker 1: It's relevant for what's happening in Ghana, right because everybody 736 00:40:04,120 --> 00:40:07,080 Speaker 1: is looking to the US about how our dollar is 737 00:40:07,080 --> 00:40:10,440 Speaker 1: going to be affected essentially by the decisions. 738 00:40:09,960 --> 00:40:13,600 Speaker 3: That the FED makes. So what's happening right. 739 00:40:13,480 --> 00:40:17,080 Speaker 1: Now is this woman is being attacked, This black woman's 740 00:40:17,120 --> 00:40:19,520 Speaker 1: being attacked, and a lot of people are saying, you know, 741 00:40:19,560 --> 00:40:25,600 Speaker 1: she was unqualified, unqualified for a position that the President 742 00:40:25,719 --> 00:40:31,000 Speaker 1: of the United States appointed her for. Let's just state 743 00:40:31,040 --> 00:40:35,560 Speaker 1: that fact, right, the President Biden appointed her to this position. 744 00:40:36,239 --> 00:40:40,799 Speaker 3: Let me tell you something about doctor Cook, probably the 745 00:40:40,840 --> 00:40:44,880 Speaker 3: most qualified person to ever serve on the FED. Ever. 746 00:40:45,160 --> 00:40:49,000 Speaker 1: I'm not even kidding this woman. I'm rattle off and 747 00:40:49,000 --> 00:40:51,480 Speaker 1: then I'm gonna make my larger point. Went to Oxford, 748 00:40:52,120 --> 00:40:55,319 Speaker 1: went to UC Berkeley, went to Spelman, made history as 749 00:40:55,360 --> 00:40:58,960 Speaker 1: their first Marshall scholar. Worked the White House, worked at 750 00:40:58,960 --> 00:41:01,600 Speaker 1: the Treasury, worked on the helpful of economic advisors, was 751 00:41:01,640 --> 00:41:06,160 Speaker 1: appointed to a presidential transition team to lead the. 752 00:41:06,120 --> 00:41:09,880 Speaker 3: Very group she's now a part of. Right, She's worked 753 00:41:09,880 --> 00:41:13,920 Speaker 3: at four out of the twelve federal Reserve banks, not 754 00:41:13,960 --> 00:41:16,319 Speaker 3: including her current position, which would make it five. So 755 00:41:16,640 --> 00:41:18,240 Speaker 3: she's worked at at. 756 00:41:18,160 --> 00:41:20,920 Speaker 1: Least a third of the regional banks that contribute to 757 00:41:20,960 --> 00:41:26,600 Speaker 1: managing our economy. She has advised people in Asia, in Africa, 758 00:41:29,080 --> 00:41:30,479 Speaker 1: I'm looking at the phone with shock. 759 00:41:30,560 --> 00:41:34,319 Speaker 3: Good guys, I'm confused. I'm looking for the lack of qualifications. 760 00:41:34,320 --> 00:41:37,160 Speaker 3: I can't find anywhere. Here's my point. My point is 761 00:41:37,520 --> 00:41:40,440 Speaker 3: black women. People look at us. 762 00:41:40,560 --> 00:41:43,759 Speaker 1: They see our skin, they see our hair, they see 763 00:41:43,800 --> 00:41:47,680 Speaker 1: our brilliance, and they have to trick themselves into saying 764 00:41:48,640 --> 00:41:50,520 Speaker 1: there's no way that person can be all those things 765 00:41:50,560 --> 00:41:54,320 Speaker 1: at once. A lot of these people who are saying, 766 00:41:54,360 --> 00:41:56,960 Speaker 1: you know, black women are not qualified, what they're really 767 00:41:57,000 --> 00:42:00,239 Speaker 1: saying is diversity is at odds of merit. There is 768 00:42:00,280 --> 00:42:03,759 Speaker 1: no way that something can be meritocratic and you can 769 00:42:03,800 --> 00:42:06,800 Speaker 1: also be black. There's no way. But what the data 770 00:42:06,880 --> 00:42:11,000 Speaker 1: suggests is very clear. The folks who get a. 771 00:42:10,960 --> 00:42:11,560 Speaker 3: Leg up. 772 00:42:13,040 --> 00:42:19,040 Speaker 1: If we'resbility, it's not us we actually get a let down. 773 00:42:19,360 --> 00:42:22,080 Speaker 3: We get a leg down. Y'all don't hire us because 774 00:42:22,080 --> 00:42:24,760 Speaker 3: we're black, but we still show up to the workplace anyway. 775 00:42:25,560 --> 00:42:29,319 Speaker 3: Y'all don't admit us because we're black. But forty three 776 00:42:29,360 --> 00:42:32,040 Speaker 3: percent of the white students at Harvard in twenty nineteen 777 00:42:32,239 --> 00:42:35,399 Speaker 3: were admitted off of nothing related to merit. They were 778 00:42:35,440 --> 00:42:38,800 Speaker 3: either related to family members who donated, they were either 779 00:42:39,360 --> 00:42:42,879 Speaker 3: children of staff or faculty, or they were athletes, which 780 00:42:42,880 --> 00:42:46,160 Speaker 3: we know from past scandals that that's another way to 781 00:42:46,160 --> 00:42:49,480 Speaker 3: get certain people into the door. This is how to 782 00:42:49,560 --> 00:42:54,080 Speaker 3: say that even though the stack is built like a 783 00:42:54,200 --> 00:42:58,520 Speaker 3: wall against us, nobody can take away the fact that 784 00:42:58,520 --> 00:43:02,719 Speaker 3: we are object stively qualified. And that has always been true. 785 00:43:03,120 --> 00:43:04,280 Speaker 3: I'll hear preaching a sermon. 786 00:43:06,600 --> 00:43:08,000 Speaker 6: Yeah, I mean it's true. 787 00:43:08,040 --> 00:43:12,440 Speaker 5: It is always interesting to notice when the the meritocracy 788 00:43:12,520 --> 00:43:13,719 Speaker 5: narrative is. 789 00:43:15,239 --> 00:43:19,600 Speaker 6: You know, unleashed, and when and then when it's not. Uh, 790 00:43:19,640 --> 00:43:19,960 Speaker 6: And it. 791 00:43:22,000 --> 00:43:25,280 Speaker 5: My own kind of the thing I often think about 792 00:43:25,320 --> 00:43:28,640 Speaker 5: when when this topic comes up, is that with the 793 00:43:28,680 --> 00:43:29,080 Speaker 5: Women in. 794 00:43:29,080 --> 00:43:30,280 Speaker 6: The Workplace report stuff. 795 00:43:30,280 --> 00:43:34,200 Speaker 5: So this is a collaboration between Mackenzie and leanin dot 796 00:43:34,320 --> 00:43:36,879 Speaker 5: org and we just had our tenth for part last 797 00:43:36,960 --> 00:43:39,840 Speaker 5: year and it's you know, each year there's tens of 798 00:43:39,880 --> 00:43:41,640 Speaker 5: thousands of employees. You do the survey and we have 799 00:43:41,680 --> 00:43:43,160 Speaker 5: a lot of data and so it's great. It's a 800 00:43:43,239 --> 00:43:45,239 Speaker 5: it's a it's so much data that we really can 801 00:43:45,320 --> 00:43:49,120 Speaker 5: see some very interesting patterns. What I have noticed over 802 00:43:49,239 --> 00:43:52,400 Speaker 5: time is that we, you know, periodically have this question like, 803 00:43:53,360 --> 00:43:55,319 Speaker 5: you know, do you want to be a top executive 804 00:43:55,400 --> 00:43:57,439 Speaker 5: or you know, senior leader or whatever. And what I've 805 00:43:57,480 --> 00:44:01,600 Speaker 5: noticed from an aspirations stam point is that black women 806 00:44:02,360 --> 00:44:06,160 Speaker 5: have higher aspirations to senior leadership than white women, and 807 00:44:06,320 --> 00:44:09,480 Speaker 5: black women's aspirations are similar to those of white men. 808 00:44:10,120 --> 00:44:12,120 Speaker 5: But when you look at the pipeline, so you look 809 00:44:12,120 --> 00:44:13,799 Speaker 5: at from entry level all the way up to the 810 00:44:13,840 --> 00:44:17,759 Speaker 5: c suite, what we see is white men are are 811 00:44:17,800 --> 00:44:21,560 Speaker 5: the group that becomes over represented over time. So they 812 00:44:21,600 --> 00:44:23,840 Speaker 5: start out, you know, at entry level they're like something 813 00:44:23,880 --> 00:44:26,080 Speaker 5: like a third of employees. To buy the c suite, 814 00:44:26,080 --> 00:44:30,040 Speaker 5: they're they're over half and so and then so for 815 00:44:30,080 --> 00:44:33,160 Speaker 5: black women it's sort of it's it's they they start 816 00:44:33,200 --> 00:44:36,680 Speaker 5: out and then they're they're underrepresented at each each step 817 00:44:36,760 --> 00:44:40,920 Speaker 5: up in that in that pipeline. And so my larger 818 00:44:40,960 --> 00:44:44,600 Speaker 5: point is like we either there's sort of two ways 819 00:44:44,600 --> 00:44:46,880 Speaker 5: to look at that, and in terms of understanding it, 820 00:44:46,920 --> 00:44:50,520 Speaker 5: you can either think that white men are smarter and 821 00:44:50,560 --> 00:44:54,880 Speaker 5: work harder than everybody else or something else is going on, 822 00:44:55,520 --> 00:44:58,400 Speaker 5: and we have now, you know, many decades of social 823 00:44:58,440 --> 00:45:01,440 Speaker 5: science research showing us that they're something else that's going on. 824 00:45:01,600 --> 00:45:06,080 Speaker 5: And these are the biases that are in all these 825 00:45:06,080 --> 00:45:10,600 Speaker 5: different kinds of people processes, from hiring to performance evaluation 826 00:45:10,640 --> 00:45:11,440 Speaker 5: to other things. 827 00:45:12,360 --> 00:45:16,399 Speaker 6: But the idea that black women are. 828 00:45:16,080 --> 00:45:19,880 Speaker 5: Not as competent as other groups of people is to 829 00:45:19,960 --> 00:45:22,319 Speaker 5: what animal speaking about. There is no room for error 830 00:45:22,320 --> 00:45:25,520 Speaker 5: because you have this higher bar and people are watching you. 831 00:45:26,239 --> 00:45:29,640 Speaker 5: And so the women that do get through, and particularly 832 00:45:29,640 --> 00:45:32,400 Speaker 5: the women of color that do rise up through an 833 00:45:32,480 --> 00:45:38,040 Speaker 5: organization or a field or whatever, they're usually better than everybody. 834 00:45:37,560 --> 00:45:40,360 Speaker 6: Else because they have to be glock clock. 835 00:45:40,840 --> 00:45:45,000 Speaker 5: So it's an interesting phenomenon that we can still, though, 836 00:45:45,239 --> 00:45:49,520 Speaker 5: have such a strong narrative that somehow all of these 837 00:45:49,640 --> 00:45:52,719 Speaker 5: people in quotes, which usually is code for, you know, 838 00:45:53,000 --> 00:45:57,480 Speaker 5: folks of color, particularly women of color, somehow are holding 839 00:45:57,520 --> 00:45:59,960 Speaker 5: positions in which they are not qualified for, have not 840 00:46:00,160 --> 00:46:03,520 Speaker 5: worked hard for, and just do not deserve. The data 841 00:46:03,560 --> 00:46:06,319 Speaker 5: shows the opposite, I think, which is also why there 842 00:46:06,360 --> 00:46:10,760 Speaker 5: are attempts to stop collecting the data. If you want 843 00:46:10,800 --> 00:46:15,160 Speaker 5: to hide or ignore social problem, you just stop collecting 844 00:46:15,200 --> 00:46:17,359 Speaker 5: the data. I mean, you could also manipulate the data, 845 00:46:17,400 --> 00:46:18,720 Speaker 5: which I'm also worried about. 846 00:46:18,760 --> 00:46:20,000 Speaker 6: But in any. 847 00:46:19,800 --> 00:46:25,520 Speaker 5: Case, this is the idea that somehow on the black 848 00:46:25,560 --> 00:46:28,520 Speaker 5: women holding jobs in federal government were they're because they 849 00:46:28,560 --> 00:46:32,400 Speaker 5: didn't deserve to be is just untrue. But they again 850 00:46:32,520 --> 00:46:36,560 Speaker 5: because of those massive job cuts to the federal government, 851 00:46:37,080 --> 00:46:40,440 Speaker 5: because black women held a higher percentage of jobs there, 852 00:46:40,880 --> 00:46:44,919 Speaker 5: that they got hit really hard in that. And we'll 853 00:46:44,960 --> 00:46:46,880 Speaker 5: be still as that continues. 854 00:46:49,280 --> 00:46:49,440 Speaker 4: More. 855 00:46:49,480 --> 00:47:02,480 Speaker 2: After a quick break, let's get right back into it. 856 00:47:04,280 --> 00:47:06,839 Speaker 2: If you encounter a black woman in a high up 857 00:47:07,000 --> 00:47:10,560 Speaker 2: leadership position, nobody gives us anything. So just just know 858 00:47:10,680 --> 00:47:14,720 Speaker 2: that she not only clearly deserves that position, probably frankly 859 00:47:14,719 --> 00:47:18,080 Speaker 2: deserves to be higher. Like nobody is more qualified than 860 00:47:18,120 --> 00:47:21,120 Speaker 2: a black woman in a leadership position because of how 861 00:47:21,960 --> 00:47:24,120 Speaker 2: how good we have to be to be let in 862 00:47:24,160 --> 00:47:25,680 Speaker 2: the door at all. Do you think they would do 863 00:47:25,840 --> 00:47:28,640 Speaker 2: like this idea that black women are being given positions 864 00:47:28,640 --> 00:47:30,319 Speaker 2: they don't deserve but are not qualified for. 865 00:47:30,440 --> 00:47:31,800 Speaker 3: It's just it's. 866 00:47:31,640 --> 00:47:34,680 Speaker 2: Almost funny to me, as someone who's in the working 867 00:47:34,719 --> 00:47:36,000 Speaker 2: world for most of my life. 868 00:47:36,160 --> 00:47:38,640 Speaker 5: Yeah, it's it's well, you know, it's sort of like 869 00:47:38,800 --> 00:47:42,400 Speaker 5: that bitter It's like funny, not funny, it's like, it's 870 00:47:42,600 --> 00:47:47,200 Speaker 5: just it it blows one's mind, right, because and the 871 00:47:47,239 --> 00:47:52,719 Speaker 5: way that so many people actually still hold that belief is, uh, 872 00:47:53,080 --> 00:47:56,200 Speaker 5: it's yeah, it's just it's it's a lot. 873 00:47:56,560 --> 00:47:57,520 Speaker 6: But that's how I feel. 874 00:47:57,560 --> 00:47:59,360 Speaker 5: I mean, that's the whole thing about demon in the 875 00:47:59,360 --> 00:48:03,320 Speaker 5: start of themistration DEI and uh, you know, the pilots 876 00:48:03,320 --> 00:48:05,239 Speaker 5: and stuff like that, and I'm like, no, it's like 877 00:48:05,320 --> 00:48:09,840 Speaker 5: anytime you're looking at a pilot, surgeons, whatever that you know, 878 00:48:10,239 --> 00:48:13,880 Speaker 5: again because of the higher bar, because of the racism 879 00:48:13,960 --> 00:48:19,200 Speaker 5: and sexism, because you've been continually discounted, you know, mistreated 880 00:48:19,239 --> 00:48:21,560 Speaker 5: all those things. The people who make it to the 881 00:48:21,560 --> 00:48:24,760 Speaker 5: top in those roles, who are members of these historically 882 00:48:24,840 --> 00:48:30,120 Speaker 5: marginalized groups, they are by definition the best of the best. 883 00:48:30,360 --> 00:48:35,680 Speaker 5: So I'm actually always happy when my pilots are DEI folks. 884 00:48:36,400 --> 00:48:40,200 Speaker 2: Yes, And I wanted to ask you about this because 885 00:48:40,239 --> 00:48:43,440 Speaker 2: I know the book The Double Tacks. What I love 886 00:48:43,480 --> 00:48:45,680 Speaker 2: about it is that it's you're not just sort of 887 00:48:45,719 --> 00:48:47,840 Speaker 2: laying out the facts and the figures of the situation, 888 00:48:47,920 --> 00:48:49,800 Speaker 2: it's also conversations and stories. 889 00:48:49,920 --> 00:48:51,920 Speaker 3: What have women that you talked to for the book 890 00:48:52,120 --> 00:48:53,239 Speaker 3: told you the. 891 00:48:53,200 --> 00:48:56,440 Speaker 1: Women I've spoken to, well, only be honest, like, uh, 892 00:48:56,880 --> 00:48:58,680 Speaker 1: I spoke to some women. We had a team of 893 00:48:58,719 --> 00:49:01,400 Speaker 1: women who spoke to women, so you know who we 894 00:49:01,480 --> 00:49:05,440 Speaker 1: spoke to. They conferred everything that we're talking about right now, right, 895 00:49:05,480 --> 00:49:08,200 Speaker 1: And I think that's kind of why I have to 896 00:49:08,239 --> 00:49:10,439 Speaker 1: bring the dat up, because it's not like we haven't 897 00:49:10,480 --> 00:49:14,120 Speaker 1: been having this conversation. This conversation has been long had 898 00:49:14,600 --> 00:49:18,920 Speaker 1: for so many years. And I think, you know, when 899 00:49:18,920 --> 00:49:22,200 Speaker 1: it comes to black women who are just trying to 900 00:49:22,239 --> 00:49:22,799 Speaker 1: make it to. 901 00:49:22,719 --> 00:49:28,000 Speaker 3: The top, who The title of this chapter is called 902 00:49:28,040 --> 00:49:30,719 Speaker 3: the Broken Wrung, which is inspired by the Women in 903 00:49:30,760 --> 00:49:33,600 Speaker 3: the Workplace Report. What I argue is that, you know, 904 00:49:34,640 --> 00:49:38,319 Speaker 3: women in general are climbing a ladder with rungs that 905 00:49:38,360 --> 00:49:41,680 Speaker 3: are more further spaced apart, but for women of color, 906 00:49:41,800 --> 00:49:45,279 Speaker 3: especially Black women, those rungs are broken. What do I 907 00:49:45,320 --> 00:49:47,399 Speaker 3: mean by that? I mean, as we climb to. 908 00:49:47,360 --> 00:49:50,160 Speaker 1: The top, it costs us something. It always seems to 909 00:49:50,200 --> 00:49:53,000 Speaker 1: cost us something. I can be very practical here and 910 00:49:53,040 --> 00:49:55,680 Speaker 1: say it might cost us our hair texture. You might 911 00:49:55,719 --> 00:49:57,239 Speaker 1: not be able to ruck as many braids, which is 912 00:49:57,440 --> 00:50:02,200 Speaker 1: why I think, like deshanda duckett is so important form 913 00:50:02,200 --> 00:50:04,760 Speaker 1: of representation, right now she rocks braids in her fortune 914 00:50:04,800 --> 00:50:08,920 Speaker 1: five hundred speaking circuits, right, which I think is very 915 00:50:09,040 --> 00:50:13,960 Speaker 1: very important. But I think there's a lot of nuances 916 00:50:14,000 --> 00:50:16,000 Speaker 1: that I want to introduce here if we're really getting 917 00:50:16,000 --> 00:50:20,200 Speaker 1: into it. We spoke to black women about you know, 918 00:50:20,239 --> 00:50:22,239 Speaker 1: what do you what are the challenges that you deal 919 00:50:22,280 --> 00:50:27,000 Speaker 1: with in the workplace. Maryam might not be surprised by this, 920 00:50:27,080 --> 00:50:28,279 Speaker 1: but some people listening might be. 921 00:50:28,880 --> 00:50:36,279 Speaker 3: You know what they said, They said white women. Now 922 00:50:36,400 --> 00:50:39,840 Speaker 3: we're laughing because we know that's he But I think. 923 00:50:39,719 --> 00:50:44,200 Speaker 1: It's important to bring this into the forefront because I 924 00:50:44,239 --> 00:50:46,000 Speaker 1: think that, you know, we've been talking a lot about 925 00:50:46,360 --> 00:50:49,239 Speaker 1: comparing black women to white men and how white women 926 00:50:49,280 --> 00:50:54,799 Speaker 1: are absolutely overrepresented in the highest paid professions by far. 927 00:50:54,840 --> 00:50:57,640 Speaker 1: The data supports this. This is data from the Center 928 00:50:57,640 --> 00:51:00,279 Speaker 1: from American Progress. I believe they make up at least 929 00:51:01,600 --> 00:51:04,560 Speaker 1: of every single one of the top ten hives paid 930 00:51:04,560 --> 00:51:06,600 Speaker 1: professions as of twenty nineteen. 931 00:51:07,600 --> 00:51:09,279 Speaker 3: But when we kind of dig into. 932 00:51:09,120 --> 00:51:13,000 Speaker 1: The actual workplace experience, a lot of times women are 933 00:51:13,040 --> 00:51:16,799 Speaker 1: interacting with women and this is where the double tax 934 00:51:16,800 --> 00:51:20,399 Speaker 1: can also arise. Where I say in the book, white 935 00:51:20,440 --> 00:51:23,600 Speaker 1: women are navigating the patriarchy at work right you're still 936 00:51:23,640 --> 00:51:26,600 Speaker 1: dealing with sexism, you're still dealing with gender inequality. This 937 00:51:26,680 --> 00:51:31,440 Speaker 1: is why we need sort of the fortifying ergs, if 938 00:51:31,440 --> 00:51:34,319 Speaker 1: you will, the employee resource groups to assist as we're 939 00:51:34,360 --> 00:51:36,600 Speaker 1: moving through the moving through the workplace. 940 00:51:37,239 --> 00:51:41,200 Speaker 3: But black women will. Black women deal with the patriarchy too, 941 00:51:42,200 --> 00:51:45,200 Speaker 3: and they also deal with white women. And what I 942 00:51:45,239 --> 00:51:45,719 Speaker 3: mean by this. 943 00:51:45,760 --> 00:51:48,880 Speaker 1: Is that there are some white women in the workplace, 944 00:51:49,760 --> 00:51:52,879 Speaker 1: according to black women that we spoke to that shared that, 945 00:51:54,560 --> 00:51:59,080 Speaker 1: you know, when they're just trying to do their job, 946 00:52:00,680 --> 00:52:04,560 Speaker 1: their question right, So they're getting the question of competence 947 00:52:05,600 --> 00:52:08,799 Speaker 1: from white men, and they're also getting the question. 948 00:52:08,560 --> 00:52:10,640 Speaker 3: Of competence from white women. 949 00:52:11,840 --> 00:52:14,799 Speaker 1: And what's interesting is that study I cited a while 950 00:52:14,840 --> 00:52:17,120 Speaker 1: back with Elizabeth Lino's and co authors. 951 00:52:17,600 --> 00:52:18,839 Speaker 3: What they found was. 952 00:52:20,280 --> 00:52:24,200 Speaker 1: If there's a higher share of white women on your team, 953 00:52:24,239 --> 00:52:25,920 Speaker 1: as a black woman, you're more likely to lead the 954 00:52:26,040 --> 00:52:27,919 Speaker 1: organization in addition to white men. 955 00:52:28,400 --> 00:52:29,840 Speaker 3: So it's not just that white men. 956 00:52:29,760 --> 00:52:33,280 Speaker 1: Are driving a turnover of Black women in the workplace, 957 00:52:33,360 --> 00:52:34,400 Speaker 1: it's also white women. 958 00:52:35,239 --> 00:52:37,040 Speaker 3: And that's what our stories corroborated. 959 00:52:37,640 --> 00:52:39,000 Speaker 1: And I think this kind of puts us in a 960 00:52:39,000 --> 00:52:40,839 Speaker 1: little bit of an awkward spot, right because a lot 961 00:52:40,880 --> 00:52:43,600 Speaker 1: of times when we're having these conversations about women. 962 00:52:43,440 --> 00:52:46,400 Speaker 3: In the workplace, we don't really talk about race. Have 963 00:52:46,480 --> 00:52:48,360 Speaker 3: you noticed. I have noticed. 964 00:52:48,640 --> 00:52:53,400 Speaker 1: I've noticed we don't talk about race. And it's interesting 965 00:52:53,480 --> 00:52:58,640 Speaker 1: because it's interesting derogatory. Let me start there and say that, like, 966 00:52:59,160 --> 00:53:03,160 Speaker 1: we're missing worries that are really important because what's happening 967 00:53:03,160 --> 00:53:06,000 Speaker 1: to the black women in the workplace at some point 968 00:53:06,080 --> 00:53:10,240 Speaker 1: will filter through to the white women, because who becomes 969 00:53:10,280 --> 00:53:12,200 Speaker 1: expendable is relative. 970 00:53:12,200 --> 00:53:13,360 Speaker 3: You get rid of all the black. 971 00:53:13,200 --> 00:53:15,920 Speaker 1: Women, it's just going to be the next group that 972 00:53:16,000 --> 00:53:18,600 Speaker 1: whoever is empowered things is expendable, and oftentimes that is 973 00:53:18,600 --> 00:53:19,120 Speaker 1: white women. 974 00:53:20,000 --> 00:53:24,279 Speaker 3: And so I think that it's incumbent on us to 975 00:53:24,360 --> 00:53:29,960 Speaker 3: have very honest conversations about the difference in experiences that 976 00:53:30,000 --> 00:53:33,000 Speaker 3: we have as women. One of the big reasons why 977 00:53:33,000 --> 00:53:35,720 Speaker 3: I love this book, why Mary Anne, by the way, 978 00:53:36,040 --> 00:53:38,000 Speaker 3: was one of the experts on the chapter that I'm 979 00:53:38,000 --> 00:53:41,080 Speaker 3: talking about, so this is all not new to her, right, 980 00:53:42,320 --> 00:53:46,640 Speaker 3: is because it really forces us to reckon with whether 981 00:53:46,760 --> 00:53:51,000 Speaker 3: or not being a woman is a monolithic experience. And 982 00:53:51,040 --> 00:53:55,600 Speaker 3: what this book basically says in bold print and into 983 00:53:55,600 --> 00:54:01,160 Speaker 3: a megaphone is absolutely not the same experience across the board, 984 00:54:01,400 --> 00:54:04,440 Speaker 3: and we need to have a lot more conversations about why. 985 00:54:05,239 --> 00:54:09,320 Speaker 5: There is no single story of women and we lose 986 00:54:09,360 --> 00:54:11,719 Speaker 5: a lot by trying to just say that there's you know, 987 00:54:11,920 --> 00:54:15,160 Speaker 5: womenness and women that it's like there are vast inequalities 988 00:54:15,200 --> 00:54:20,280 Speaker 5: among women themselves, obviously by race and ethnicity, but also 989 00:54:20,560 --> 00:54:24,320 Speaker 5: by social class and also by age. I think is 990 00:54:24,360 --> 00:54:27,680 Speaker 5: another one that has not talked about enough, and so 991 00:54:29,239 --> 00:54:31,680 Speaker 5: just yes, we need to have a more I think 992 00:54:31,880 --> 00:54:34,160 Speaker 5: there's so much variation we need to have that be 993 00:54:34,280 --> 00:54:37,040 Speaker 5: part of the conversation rather than thinking that there's just 994 00:54:37,200 --> 00:54:43,839 Speaker 5: like one one experience because it's just it's it just overlooks, 995 00:54:43,880 --> 00:54:47,680 Speaker 5: it ignores a lot of different stories that are unfolding 996 00:54:48,520 --> 00:54:51,640 Speaker 5: and obscures I think the stories that are most important 997 00:54:51,640 --> 00:54:52,080 Speaker 5: to tell. 998 00:54:52,400 --> 00:54:54,439 Speaker 2: And it just speaks to the way that black women 999 00:54:54,560 --> 00:54:58,480 Speaker 2: our experiences can really get lost in it if we're 1000 00:54:58,480 --> 00:55:01,960 Speaker 2: not having these intersectional conversations about what's going on that 1001 00:55:02,040 --> 00:55:05,080 Speaker 2: really highlight like what it is that we're dealing with, 1002 00:55:05,120 --> 00:55:06,880 Speaker 2: what it is that we're up against, and how those. 1003 00:55:06,680 --> 00:55:07,440 Speaker 3: Are all playing out. 1004 00:55:08,120 --> 00:55:12,400 Speaker 2: When you're saying, yeah, so the piece kind of ends 1005 00:55:12,520 --> 00:55:14,960 Speaker 2: with you all saying that you know these early warning 1006 00:55:15,000 --> 00:55:19,040 Speaker 2: signs are only useful if listened to. Let's not miss 1007 00:55:19,120 --> 00:55:21,680 Speaker 2: the one black women are sounding yet again, So what 1008 00:55:21,719 --> 00:55:22,480 Speaker 2: does it look like. 1009 00:55:22,560 --> 00:55:25,759 Speaker 3: To actually hear and respond to this warning that you 1010 00:55:25,840 --> 00:55:28,080 Speaker 3: all are pointing out? I mean, I think one thing 1011 00:55:28,080 --> 00:55:28,279 Speaker 3: that a. 1012 00:55:28,280 --> 00:55:30,160 Speaker 1: Lot of black women or commas have said is like, 1013 00:55:31,080 --> 00:55:33,160 Speaker 1: we need to first and foremost even know that the 1014 00:55:33,200 --> 00:55:34,680 Speaker 1: warning exists. 1015 00:55:35,080 --> 00:55:37,360 Speaker 3: And that begins with this aggregating the data. So I 1016 00:55:37,360 --> 00:55:39,560 Speaker 3: think local and state leaders who. 1017 00:55:39,520 --> 00:55:43,080 Speaker 1: Have access to data about the labor market, who are 1018 00:55:43,120 --> 00:55:47,399 Speaker 1: paying attention to the Bureau Labor statistics, dig into how 1019 00:55:47,480 --> 00:55:51,520 Speaker 1: different groups are being impacted by these job cuts, by 1020 00:55:51,520 --> 00:55:55,680 Speaker 1: what's happening with sort of these slashes to industries that 1021 00:55:55,719 --> 00:56:00,320 Speaker 1: are disproportionately affecting Black women. I think it also means 1022 00:56:00,880 --> 00:56:05,080 Speaker 1: really thinking about why it matters that black women in 1023 00:56:05,120 --> 00:56:10,160 Speaker 1: particular stand to lose the most at this time. Black 1024 00:56:10,200 --> 00:56:14,960 Speaker 1: women are breadwears, right, their moms. They're individuals who are 1025 00:56:14,960 --> 00:56:16,200 Speaker 1: just trying to make a living and make a life. 1026 00:56:16,239 --> 00:56:20,080 Speaker 1: As I said before, and I think using black women 1027 00:56:20,120 --> 00:56:24,040 Speaker 1: as a benchmark for your policy making is extremely helpful 1028 00:56:24,120 --> 00:56:28,439 Speaker 1: because it says, Okay, black moms are under pressure, right now, 1029 00:56:28,960 --> 00:56:32,239 Speaker 1: let's go ahead and design a program locally or statewide 1030 00:56:32,880 --> 00:56:35,799 Speaker 1: to ensure that we can support moms that might be 1031 00:56:35,800 --> 00:56:40,879 Speaker 1: in similar positions, right or black young folks can't find 1032 00:56:40,960 --> 00:56:43,520 Speaker 1: jobs right now, Let's see if we can as a 1033 00:56:43,640 --> 00:56:48,799 Speaker 1: university maybe extend the career services beyond just you know, 1034 00:56:49,680 --> 00:56:52,319 Speaker 1: you know, folks who are current students, and maybe have 1035 00:56:52,520 --> 00:56:56,160 Speaker 1: a more robust programming to ensure that our alumni can 1036 00:56:56,239 --> 00:56:59,480 Speaker 1: transition smoothly into the job market. So it's saying you 1037 00:56:59,520 --> 00:57:02,800 Speaker 1: see that certain groups are setting up a smoke signal, 1038 00:57:03,320 --> 00:57:05,960 Speaker 1: and I would even say they're running in the opposite 1039 00:57:05,960 --> 00:57:09,440 Speaker 1: direction of something that is headed their way. And you 1040 00:57:09,480 --> 00:57:11,920 Speaker 1: have a choice, Iiva, you can run alongside. This is 1041 00:57:11,960 --> 00:57:14,239 Speaker 1: a running joke, right, because every time you see a 1042 00:57:14,239 --> 00:57:16,400 Speaker 1: black person run, you're supposed to run two. That's usually 1043 00:57:16,440 --> 00:57:20,520 Speaker 1: the game, is right, but you see a black person running, 1044 00:57:20,520 --> 00:57:23,200 Speaker 1: you see a black woman running the other direction, and 1045 00:57:23,280 --> 00:57:25,560 Speaker 1: instead of being like, oh, she's a fool for running, 1046 00:57:26,200 --> 00:57:29,520 Speaker 1: the sun is out, things are great, and you decide 1047 00:57:29,520 --> 00:57:32,160 Speaker 1: I'm gonna pull out my picnic planket and read my book, 1048 00:57:33,320 --> 00:57:35,040 Speaker 1: you should ask her why are you running? 1049 00:57:35,160 --> 00:57:37,200 Speaker 3: What are you running from? Right? 1050 00:57:37,720 --> 00:57:41,240 Speaker 1: Because oftentimes she has a fantash point that you can't 1051 00:57:42,040 --> 00:57:44,320 Speaker 1: comprehend or maybe you don't have the perspective to see. 1052 00:57:44,840 --> 00:57:47,440 Speaker 1: And in this case, going with this metaphor, she's running 1053 00:57:47,440 --> 00:57:50,240 Speaker 1: from a tsunami that's coming her way, and so she's 1054 00:57:50,280 --> 00:57:52,919 Speaker 1: gonna try her best to get to safety. But one 1055 00:57:52,960 --> 00:57:54,800 Speaker 1: thing you gotta know, this is the double tax come 1056 00:57:54,840 --> 00:57:58,200 Speaker 1: on metaphor, is that she has got an anchor on 1057 00:57:58,320 --> 00:58:01,440 Speaker 1: her ankle, right, something weight on our ankle, so she 1058 00:58:01,520 --> 00:58:04,480 Speaker 1: can't run fast enough away from me. But if you 1059 00:58:05,120 --> 00:58:08,280 Speaker 1: who has not that way, not that pressure, not having 1060 00:58:08,360 --> 00:58:11,960 Speaker 1: to do with racism and sexism at that level, are. 1061 00:58:11,800 --> 00:58:12,960 Speaker 3: Also heating the warning. 1062 00:58:13,640 --> 00:58:15,480 Speaker 1: You can go into town and tell everybody else, hey, 1063 00:58:15,520 --> 00:58:17,000 Speaker 1: we got to prepare to this, and da da da da, 1064 00:58:17,280 --> 00:58:19,960 Speaker 1: And so by the time she gets there, she's not 1065 00:58:20,080 --> 00:58:21,120 Speaker 1: swept up in the storm. 1066 00:58:21,720 --> 00:58:24,720 Speaker 3: So I think that's the way I would say, we 1067 00:58:24,840 --> 00:58:25,640 Speaker 3: need this moment. 1068 00:58:26,240 --> 00:58:29,640 Speaker 1: We don't ignore you know, what's taking place, and we 1069 00:58:29,680 --> 00:58:32,480 Speaker 1: don't stop at just saying, man, they're a warning signal, 1070 00:58:32,560 --> 00:58:35,240 Speaker 1: and then we don't heat it. There's no use in 1071 00:58:36,280 --> 00:58:39,920 Speaker 1: hearing the alarm and not acting on the emergency. If 1072 00:58:39,920 --> 00:58:42,000 Speaker 1: there's an emergency, we need to do something about it. 1073 00:58:42,480 --> 00:58:44,880 Speaker 1: Otherwise we all stand to lose much more. 1074 00:58:45,480 --> 00:58:49,439 Speaker 5: Yeah, I think that that sums it all up. And 1075 00:58:50,720 --> 00:58:53,840 Speaker 5: if we ignore this, I think it will will be 1076 00:58:54,000 --> 00:58:58,200 Speaker 5: back on our heels pretty quickly here. And if we 1077 00:58:58,280 --> 00:59:01,440 Speaker 5: get in front of it by action listening to black women, 1078 00:59:03,240 --> 00:59:07,080 Speaker 5: we could prevent a lot of pain for everybody, but 1079 00:59:07,160 --> 00:59:09,280 Speaker 5: particularly for black women. 1080 00:59:09,880 --> 00:59:10,600 Speaker 6: So it's just. 1081 00:59:12,520 --> 00:59:16,040 Speaker 5: Too many times Black women's experiences in the economy but 1082 00:59:16,120 --> 00:59:20,200 Speaker 5: otherwise have been ignored and it leaves you know, almost 1083 00:59:20,200 --> 00:59:22,400 Speaker 5: everyone worse off as a result. 1084 00:59:27,240 --> 00:59:29,320 Speaker 2: Got a story about an interesting thing in tech, I 1085 00:59:29,360 --> 00:59:31,200 Speaker 2: just want to say Hi. You can reach us at 1086 00:59:31,240 --> 00:59:33,960 Speaker 2: Hello at tegodi dot com. You can also find transcripts 1087 00:59:33,960 --> 00:59:36,400 Speaker 2: for today's episode at tengody dot com. There Are No 1088 00:59:36,480 --> 00:59:38,560 Speaker 2: Girls on the Internet was created by me Bridget Todd. 1089 00:59:38,920 --> 00:59:42,360 Speaker 2: It's a production of iHeartRadio and Unbossed creative Jonathan Strickland 1090 00:59:42,360 --> 00:59:45,120 Speaker 2: as our executive producer. Tari Harrison is our producer and 1091 00:59:45,200 --> 00:59:48,960 Speaker 2: sound engineer. Michael Almato is our contributing producer. I'm your host, 1092 00:59:48,960 --> 00:59:51,720 Speaker 2: bridget Todd. If you want to help us grow, rate 1093 00:59:51,800 --> 00:59:55,480 Speaker 2: and review us on Apple Podcasts. For more podcasts from iHeartRadio, 1094 00:59:55,640 --> 00:59:57,960 Speaker 2: check out the iHeartRadio app Apple podcasts. 1095 00:59:57,600 --> 00:59:58,880 Speaker 3: Or wherever you get your podcasts. 1096 01:00:00,960 --> 01:00:07,600 Speaker 7: The manhat rum with a long