1 00:00:04,200 --> 00:00:05,920 Speaker 1: There Are No Girls on the Internet. As a production 2 00:00:05,960 --> 00:00:13,480 Speaker 1: of iHeartRadio and Unbossed Creative. I'm Bridgie Todd, and this 3 00:00:13,560 --> 00:00:18,159 Speaker 1: is there Are No Girls on the Internet. After the 4 00:00:18,239 --> 00:00:22,840 Speaker 1: Supreme Court ruling deeming affirmative action discriminatory, we were following 5 00:00:22,880 --> 00:00:25,960 Speaker 1: the pending Supreme Court ruling on whether or not grant 6 00:00:26,000 --> 00:00:30,240 Speaker 1: programs that support black women entrepreneurs are discriminatory too. And 7 00:00:30,440 --> 00:00:33,480 Speaker 1: just like that Affirmative action suit, this one was brought 8 00:00:33,479 --> 00:00:37,320 Speaker 1: to us by certified enemy of the show, conservative activist 9 00:00:37,600 --> 00:00:40,159 Speaker 1: Edward Blum. Now at the heart of this case is 10 00:00:40,200 --> 00:00:43,440 Speaker 1: the Atlanta based group Fearless Fund, a grant program that 11 00:00:43,440 --> 00:00:46,800 Speaker 1: supports black women entrepreneurs. And I have a little sad news, 12 00:00:46,800 --> 00:00:49,200 Speaker 1: which is that a US Federal Court of Appeals panel 13 00:00:49,400 --> 00:00:53,120 Speaker 1: has suspended Fearless Fund's critical work of giving financial support 14 00:00:53,280 --> 00:00:56,520 Speaker 1: to black women own businesses, a ruling that I'm sorry 15 00:00:56,520 --> 00:00:59,280 Speaker 1: to say seems to suggest that Blum is likely to 16 00:00:59,320 --> 00:01:03,160 Speaker 1: prevail in his lawsuit claiming that such programs are discriminatory. 17 00:01:03,520 --> 00:01:06,399 Speaker 1: This could have a ripple effect, threatening any program designed 18 00:01:06,400 --> 00:01:10,399 Speaker 1: to support certain marginalized or underrepresented communities. Now, the ruling 19 00:01:10,440 --> 00:01:13,880 Speaker 1: against Fearless Fun is just another victory for conservative groups 20 00:01:14,040 --> 00:01:16,920 Speaker 1: who are waging a sprawling legal battle against things like 21 00:01:17,120 --> 00:01:20,520 Speaker 1: corporate diversity programs and in doing so, of targeted companies 22 00:01:20,560 --> 00:01:23,800 Speaker 1: and government institutions. So here's a conversation that I had 23 00:01:23,840 --> 00:01:26,440 Speaker 1: with my friends Samantha and Anny over at the podcast 24 00:01:26,480 --> 00:01:29,280 Speaker 1: stuff Mom never told you about how exactly we got 25 00:01:29,280 --> 00:01:30,680 Speaker 1: here and what could be next. 26 00:01:36,080 --> 00:01:36,840 Speaker 2: The man who. 27 00:01:36,640 --> 00:01:39,479 Speaker 1: Brought us the legal challenge that struck down affirmative action 28 00:01:39,640 --> 00:01:42,920 Speaker 1: earlier this summer is back, and this time he is 29 00:01:42,959 --> 00:01:46,720 Speaker 1: coming for grants and the fellowships that support marginalized people. 30 00:01:47,240 --> 00:01:50,240 Speaker 1: So you all probably recall that earlier this summer, back 31 00:01:50,280 --> 00:01:53,800 Speaker 1: in June, the Supreme Court struck down affirmative action, ruling 32 00:01:53,840 --> 00:01:58,040 Speaker 1: that race can no longer play a part in college admissions. Notably, 33 00:01:58,120 --> 00:02:01,160 Speaker 1: the decision just applied to race. It did not apply 34 00:02:01,280 --> 00:02:05,440 Speaker 1: to gender or things like legacy status or donor status 35 00:02:05,480 --> 00:02:09,480 Speaker 1: being considered in the college admissions process. Separately, some colleges, 36 00:02:09,560 --> 00:02:13,200 Speaker 1: like Harvard have signaled that they might start re examining 37 00:02:13,200 --> 00:02:16,120 Speaker 1: the role that things like legacy status plays in college 38 00:02:16,120 --> 00:02:19,639 Speaker 1: admissions in light of that Supreme Court ruling. Do you 39 00:02:19,639 --> 00:02:22,880 Speaker 1: all remember this? I remember when the ruling was struck down. 40 00:02:23,760 --> 00:02:24,720 Speaker 2: How big. 41 00:02:24,880 --> 00:02:29,280 Speaker 1: It felt, especially being a big Supreme Court ruling about 42 00:02:29,320 --> 00:02:32,160 Speaker 1: a year after the after Row was struck down. It 43 00:02:32,560 --> 00:02:36,840 Speaker 1: felt like, you know, one big torrent of rain and 44 00:02:36,880 --> 00:02:40,200 Speaker 1: then another big torrent of rain to continue your metaphor, Anie. 45 00:02:41,240 --> 00:02:43,400 Speaker 3: Yes, metaphor nicely done. 46 00:02:43,720 --> 00:02:46,440 Speaker 4: Yes, Yeah, No, it definitely did because that was at 47 00:02:46,440 --> 00:02:50,360 Speaker 4: the end of the Supreme Court session and there had 48 00:02:50,440 --> 00:02:55,240 Speaker 4: just been a lot of I mean, they turned out 49 00:02:55,280 --> 00:02:56,680 Speaker 4: to be true, but a lot of fear around like 50 00:02:56,720 --> 00:02:57,280 Speaker 4: what will they do? 51 00:02:57,880 --> 00:02:57,960 Speaker 5: Right? 52 00:02:58,000 --> 00:03:01,480 Speaker 4: It just made like all of these many decisions. 53 00:03:00,919 --> 00:03:01,639 Speaker 2: In one day. 54 00:03:01,800 --> 00:03:02,359 Speaker 3: In one day. 55 00:03:02,440 --> 00:03:06,840 Speaker 5: Yeah, you know, it's odd because I was absolutely alive, 56 00:03:06,919 --> 00:03:09,520 Speaker 5: and I think, like talking about trying to get into 57 00:03:09,560 --> 00:03:12,160 Speaker 5: school and having this whole conversation when I'm a firmative 58 00:03:12,200 --> 00:03:14,680 Speaker 5: action was coming into debate to begin with, and to 59 00:03:14,720 --> 00:03:16,760 Speaker 5: see it like this, I'm not gonna lie, I'm gonna 60 00:03:16,760 --> 00:03:19,600 Speaker 5: be very transparent here as growing up in a white 61 00:03:19,600 --> 00:03:23,560 Speaker 5: household who are very conservative, not around any marginalized groups 62 00:03:23,560 --> 00:03:26,000 Speaker 5: outside of me who they rescued and put that in 63 00:03:26,040 --> 00:03:29,440 Speaker 5: air quotes out of like a marginalized a bad situation. 64 00:03:30,120 --> 00:03:32,560 Speaker 5: Seeing what they were saying was feded into me and 65 00:03:32,639 --> 00:03:35,080 Speaker 5: being like, yeah, I absolutely agreed that I should not 66 00:03:35,200 --> 00:03:37,480 Speaker 5: get I don't want to be given a special spot 67 00:03:37,520 --> 00:03:38,200 Speaker 5: because of my race. 68 00:03:38,200 --> 00:03:38,920 Speaker 3: I want to earn it. 69 00:03:39,120 --> 00:03:41,440 Speaker 5: Like I said that out loud to my family before 70 00:03:41,600 --> 00:03:45,080 Speaker 5: I started college, in any of that, not understanding what 71 00:03:45,200 --> 00:03:47,520 Speaker 5: it really was. And I truly believe my parents believe that. 72 00:03:47,560 --> 00:03:49,480 Speaker 5: I don't think my siblings believe that because they're they 73 00:03:49,480 --> 00:03:52,400 Speaker 5: are educated and they'd understand, but I truly believe that 74 00:03:52,440 --> 00:03:54,120 Speaker 5: because that was what was fed into me. 75 00:03:54,400 --> 00:03:58,200 Speaker 3: So I have this real, like ugh ick feeling. 76 00:03:57,960 --> 00:04:02,400 Speaker 5: About this whole action because the face of the suit 77 00:04:02,720 --> 00:04:05,760 Speaker 5: was an Asian man who was bitter little baby that 78 00:04:06,080 --> 00:04:08,560 Speaker 5: I feel like so many ways about it, and then 79 00:04:08,600 --> 00:04:12,600 Speaker 5: coming into college on my own and then understanding what 80 00:04:12,640 --> 00:04:15,960 Speaker 5: it truly was and realizing, oh, yeah, that stuff that 81 00:04:16,000 --> 00:04:18,800 Speaker 5: I spewed out as a kid was actual white supremacy 82 00:04:18,800 --> 00:04:21,000 Speaker 5: coming out of my mouth because I was trying to 83 00:04:21,000 --> 00:04:25,000 Speaker 5: impress my white family and being fed a bunch of lies. 84 00:04:25,400 --> 00:04:28,800 Speaker 3: So it was it felt like so gross. 85 00:04:28,520 --> 00:04:31,760 Speaker 5: To know that I was manipulated like that at my 86 00:04:31,839 --> 00:04:33,840 Speaker 5: young age, At my young age, also that I think 87 00:04:33,880 --> 00:04:35,200 Speaker 5: I don't know how old the students. I guess he 88 00:04:35,240 --> 00:04:36,760 Speaker 5: was trying to get into college, so I guess maybe 89 00:04:36,800 --> 00:04:40,479 Speaker 5: around the same time and then coming into this now 90 00:04:40,520 --> 00:04:42,840 Speaker 5: that I'm like, oh my god, what have we done 91 00:04:43,080 --> 00:04:46,320 Speaker 5: essentially like with allowing these types of lies to perpetuate 92 00:04:46,640 --> 00:04:50,719 Speaker 5: and not looking at the true statistics behind these actual 93 00:04:51,080 --> 00:04:55,080 Speaker 5: numbers and why affirmative action was and is necessary. But again, 94 00:04:55,160 --> 00:04:58,240 Speaker 5: because of that rhetoric being around, it wasn't surprising that 95 00:04:58,279 --> 00:05:00,840 Speaker 5: it was undone because it was true hanging on by 96 00:05:00,839 --> 00:05:03,000 Speaker 5: a thread because of those types of lies. 97 00:05:03,160 --> 00:05:05,080 Speaker 3: But yeah, I have like this. 98 00:05:05,760 --> 00:05:10,240 Speaker 5: Ache and like mourning and guilt, guilt by association and 99 00:05:10,279 --> 00:05:13,800 Speaker 5: guilt by like past actions that I'm like, oh my god, 100 00:05:14,279 --> 00:05:17,240 Speaker 5: what is this? Like part of what I was spewing 101 00:05:17,480 --> 00:05:19,640 Speaker 5: is part of the reason this is undone. Of course, 102 00:05:19,880 --> 00:05:23,559 Speaker 5: the bigger picture is again white supremacists and their power 103 00:05:23,600 --> 00:05:26,240 Speaker 5: that they wanted to play and the overall arcing like 104 00:05:26,680 --> 00:05:29,320 Speaker 5: oh who was doing the main grab and trying to 105 00:05:29,360 --> 00:05:32,960 Speaker 5: make sure that what a marginalized people stay down and 106 00:05:33,000 --> 00:05:36,599 Speaker 5: stay unable to get to any of these places because 107 00:05:36,600 --> 00:05:39,360 Speaker 5: they do not have the connections essentially just all connections, 108 00:05:39,400 --> 00:05:42,800 Speaker 5: not even money anymore so connections and it's just disgusting. 109 00:05:42,960 --> 00:05:45,240 Speaker 5: So yeah, I have very strong feelings. 110 00:05:45,720 --> 00:05:48,320 Speaker 1: Yeah, I first of all, thank you for sharing that, 111 00:05:48,400 --> 00:05:52,560 Speaker 1: and I can kind of identify, I know how you feel. 112 00:05:52,640 --> 00:05:54,520 Speaker 1: I don't think that you need to have guilt for 113 00:05:54,600 --> 00:05:58,279 Speaker 1: having felt that way, because, first of all, we live 114 00:05:58,320 --> 00:06:02,680 Speaker 1: in a society where it's so easy to pit marginalize 115 00:06:02,680 --> 00:06:06,560 Speaker 1: people against each other in service of upholding white supremacy. 116 00:06:06,640 --> 00:06:10,000 Speaker 1: Like that is a tried and true method that bad 117 00:06:10,040 --> 00:06:13,600 Speaker 1: actors and people interested in upholding white supremacy have engaged 118 00:06:13,640 --> 00:06:15,600 Speaker 1: for a very long time. And so the reason they 119 00:06:15,640 --> 00:06:17,200 Speaker 1: do it is because it's effective, and so it's not 120 00:06:17,240 --> 00:06:20,599 Speaker 1: surprising that it will be effective on you, a young person. Also, 121 00:06:20,839 --> 00:06:24,159 Speaker 1: the way that we talk about it, I think just 122 00:06:24,200 --> 00:06:28,599 Speaker 1: does not set people up to have a full understanding 123 00:06:28,800 --> 00:06:32,000 Speaker 1: of the conversation. Right, So we talk so much about 124 00:06:32,040 --> 00:06:35,520 Speaker 1: affirmative action, and when we talk about affirmative action, usually 125 00:06:35,560 --> 00:06:38,280 Speaker 1: the face of affirmative action is a black person, right, 126 00:06:38,279 --> 00:06:40,560 Speaker 1: And so we're talking about, like, oh, well, do you 127 00:06:40,600 --> 00:06:42,720 Speaker 1: think that black people should get a leg up in 128 00:06:42,800 --> 00:06:46,360 Speaker 1: admissions processes? Of course people are not gonna agree with that, 129 00:06:46,400 --> 00:06:48,640 Speaker 1: But the reality is is that that is a myth 130 00:06:48,680 --> 00:06:52,679 Speaker 1: because the Department of Labor shows that the primary beneficiaries 131 00:06:52,720 --> 00:06:55,440 Speaker 1: of affirmative action are actually white women. That is not 132 00:06:56,040 --> 00:06:57,920 Speaker 1: what the way that our the way that we talk 133 00:06:57,960 --> 00:06:59,839 Speaker 1: about it would lead you to believe, right. And so 134 00:07:00,600 --> 00:07:04,200 Speaker 1: another idea is that when we talk about admissions. 135 00:07:04,279 --> 00:07:06,400 Speaker 2: So I would say, this is just. 136 00:07:06,320 --> 00:07:08,800 Speaker 1: My opinion, but I would say that there is an 137 00:07:08,920 --> 00:07:15,960 Speaker 1: outsized space given to conversations about affirmative action, which, as 138 00:07:16,000 --> 00:07:18,880 Speaker 1: I said, are sort of translated through like oh, black people, 139 00:07:19,000 --> 00:07:21,760 Speaker 1: that they're the face of it, and so much less 140 00:07:21,880 --> 00:07:25,760 Speaker 1: space given to things like legacy status, which I think 141 00:07:25,920 --> 00:07:28,880 Speaker 1: I had a stat earlier, but it's some astronomical amount 142 00:07:28,960 --> 00:07:32,760 Speaker 1: of kids in college get there because they are their 143 00:07:32,800 --> 00:07:35,680 Speaker 1: parents went to that college, or their parents are donors 144 00:07:35,680 --> 00:07:38,360 Speaker 1: to that college, or some sort of a leg up. 145 00:07:38,600 --> 00:07:42,120 Speaker 1: And essentially what that is is like affirmative action for 146 00:07:42,240 --> 00:07:45,080 Speaker 1: rich people. Yet we don't even it's not even part 147 00:07:45,120 --> 00:07:47,600 Speaker 1: of the conversation and certainly has not been part of 148 00:07:47,600 --> 00:07:49,920 Speaker 1: the conversation the way that affirmative action has been. So 149 00:07:49,960 --> 00:07:53,280 Speaker 1: I would argue that like you were not given a 150 00:07:53,680 --> 00:07:57,520 Speaker 1: clear picture of the issue in order to be able 151 00:07:57,520 --> 00:07:59,960 Speaker 1: to like thoughtfully come up with a critiqu or an 152 00:08:00,000 --> 00:08:02,360 Speaker 1: opinion about it, right, And I think that that has 153 00:08:02,400 --> 00:08:03,440 Speaker 1: to be by design. 154 00:08:03,480 --> 00:08:07,160 Speaker 5: Right, Absolutely, I think in the understanding, as you are saying, 155 00:08:07,280 --> 00:08:10,680 Speaker 5: is that the rhetoric I was given was all anti black. 156 00:08:10,920 --> 00:08:13,119 Speaker 5: Like we're going to be very very specific in calling 157 00:08:13,160 --> 00:08:15,920 Speaker 5: it what it was. It wasn't about anything else. It 158 00:08:15,960 --> 00:08:19,240 Speaker 5: wasn't about me being a minority, or like being Asian 159 00:08:19,320 --> 00:08:22,920 Speaker 5: and a marginalized woman. Is literally they were trying to 160 00:08:22,920 --> 00:08:23,720 Speaker 5: be anti black. 161 00:08:23,840 --> 00:08:24,560 Speaker 3: They were staying the. 162 00:08:24,600 --> 00:08:28,000 Speaker 5: Quiet part out loud because that's all they see. That's 163 00:08:28,080 --> 00:08:31,680 Speaker 5: the big enemy that is built up against white people, 164 00:08:31,880 --> 00:08:35,280 Speaker 5: which is so disgusting and it's very prevalent. 165 00:08:35,320 --> 00:08:37,600 Speaker 3: Like that's the real understanding. We you need to have. 166 00:08:37,679 --> 00:08:41,120 Speaker 5: That whole fact and all that conversation is this is 167 00:08:41,520 --> 00:08:45,080 Speaker 5: an anti black movement, and in that it had, it 168 00:08:45,120 --> 00:08:49,360 Speaker 5: did not It did not actually help the black community 169 00:08:49,440 --> 00:08:51,400 Speaker 5: that much at all. It really did not bring in, 170 00:08:51,480 --> 00:08:54,640 Speaker 5: as you said, statistically black people into colleges. It was 171 00:08:54,720 --> 00:08:58,800 Speaker 5: again more white women, all white women essentially. And then 172 00:08:59,040 --> 00:09:01,400 Speaker 5: again the legacy, those are the people who are still 173 00:09:01,400 --> 00:09:04,040 Speaker 5: remaining and going to colleges and still getting scholarships to 174 00:09:04,080 --> 00:09:07,200 Speaker 5: get into these colleges, and still getting loans at a 175 00:09:07,200 --> 00:09:11,520 Speaker 5: reasonable interest rate, all of those things. But for some reason, 176 00:09:11,520 --> 00:09:13,880 Speaker 5: they built this boogieyman. Not some reason we know why, 177 00:09:13,960 --> 00:09:17,360 Speaker 5: but they built a boogieman in order to make sure 178 00:09:17,800 --> 00:09:20,320 Speaker 5: that they put down a specific group of people because 179 00:09:20,320 --> 00:09:22,160 Speaker 5: they're like, hey, this is a battle we can win. 180 00:09:22,200 --> 00:09:23,439 Speaker 5: We've always won with this fact. 181 00:09:23,520 --> 00:09:24,000 Speaker 3: Let's do this. 182 00:09:24,559 --> 00:09:27,959 Speaker 1: Anti blackness is always that is a train that's always 183 00:09:28,000 --> 00:09:30,720 Speaker 1: on time. So what's interesting about what you just said 184 00:09:30,840 --> 00:09:34,120 Speaker 1: is that white women, despite being the biggest beneficiaries of 185 00:09:34,120 --> 00:09:37,960 Speaker 1: affirmative action, are also the most likely to be against it. So, 186 00:09:38,000 --> 00:09:41,360 Speaker 1: according to a twenty fourteen Cooperative Congressional Election study, nearly 187 00:09:41,400 --> 00:09:44,080 Speaker 1: seventy percent of the twenty thousand, six hundred and ninety 188 00:09:44,080 --> 00:09:47,880 Speaker 1: four self identified non Hispanic white women surveyed either somewhat 189 00:09:47,960 --> 00:09:51,360 Speaker 1: or strongly opposed affirmative action. Again, I think it's like 190 00:09:51,920 --> 00:09:55,320 Speaker 1: one of those situations where because the way that it 191 00:09:55,400 --> 00:09:57,920 Speaker 1: is framed is like, this is a program that helps 192 00:09:57,960 --> 00:10:00,360 Speaker 1: black people, and if you don't think black people should 193 00:10:00,360 --> 00:10:02,440 Speaker 1: be getting a leg up over you, you should not 194 00:10:02,520 --> 00:10:05,760 Speaker 1: be into it, you should be against it. That rhetoric 195 00:10:06,120 --> 00:10:09,280 Speaker 1: actually ends up hurting all marginalized people, whether you're a 196 00:10:09,280 --> 00:10:11,440 Speaker 1: white woman, because you know, like it's one of those 197 00:10:11,520 --> 00:10:16,760 Speaker 1: dynamics where the anti blackness becomes a way to get 198 00:10:16,800 --> 00:10:20,559 Speaker 1: people on board, but then that is not an accurate 199 00:10:20,600 --> 00:10:24,640 Speaker 1: reflection of who the beneficiaries of programs like affirmative action 200 00:10:24,840 --> 00:10:25,920 Speaker 1: actually end up being. 201 00:10:26,240 --> 00:10:26,480 Speaker 2: Right. 202 00:10:26,600 --> 00:10:30,160 Speaker 1: So, Annie, you were saying how Asian Americans were kind 203 00:10:30,160 --> 00:10:33,640 Speaker 1: of made the face of the sort of victims of 204 00:10:34,160 --> 00:10:37,280 Speaker 1: affirmative action, and that is very much by design because 205 00:10:37,280 --> 00:10:40,720 Speaker 1: of this guy who is a conservative litigant named Edward Blum. 206 00:10:41,240 --> 00:10:43,400 Speaker 1: I call him a litigant because that's like kind of 207 00:10:43,440 --> 00:10:46,600 Speaker 1: what he is, like a professional lawsuit bringer. He is 208 00:10:46,640 --> 00:10:50,280 Speaker 1: not a lawyer himself, but he basically connects potential plaintiffs 209 00:10:50,559 --> 00:10:53,600 Speaker 1: with attorneys who are willing to represent them in test cases, 210 00:10:53,840 --> 00:10:56,600 Speaker 1: which he then uses to try to set legal presidents. 211 00:10:57,400 --> 00:11:00,880 Speaker 1: He is the founder and sole member of an organization 212 00:11:00,960 --> 00:11:03,319 Speaker 1: called Project on Fair Representation, which he found that in 213 00:11:03,360 --> 00:11:07,199 Speaker 1: two thousand and five, which focuses on voting, education, contracting, employment, 214 00:11:07,440 --> 00:11:11,520 Speaker 1: racial quotas, and racial reparations. Basically, his whole thing is 215 00:11:11,559 --> 00:11:14,760 Speaker 1: bringing legal challenges to strike down laws that I would 216 00:11:14,880 --> 00:11:18,200 Speaker 1: argue protect non white, non straight, non men. 217 00:11:18,280 --> 00:11:21,640 Speaker 2: More on this later. However, if you were to ask him, 218 00:11:22,080 --> 00:11:22,600 Speaker 2: he would. 219 00:11:22,440 --> 00:11:24,640 Speaker 1: Probably say that it's not that he wants to elevate 220 00:11:24,720 --> 00:11:28,480 Speaker 1: like one race over anybody else, but that he wants 221 00:11:28,559 --> 00:11:32,600 Speaker 1: all laws and all like public considerations to be race 222 00:11:32,760 --> 00:11:36,800 Speaker 1: or identity neutral. He has described his ethos like this quote, 223 00:11:37,200 --> 00:11:40,040 Speaker 1: our history has been tainted tragically by the use of 224 00:11:40,120 --> 00:11:44,359 Speaker 1: race in various public and private arenas. Race discrimination is odious, 225 00:11:44,400 --> 00:11:46,640 Speaker 1: something the founding principles of the Civil rights movement were 226 00:11:46,640 --> 00:11:51,680 Speaker 1: designed to eliminate. Personally, I would say that I don't 227 00:11:51,679 --> 00:11:53,840 Speaker 1: know if I buy what he is saying. It seems 228 00:11:53,840 --> 00:11:56,640 Speaker 1: like an awfully convenient way to justify the fact that 229 00:11:56,679 --> 00:12:01,000 Speaker 1: he keeps gutting laws that protect marginalized people. But there 230 00:12:01,040 --> 00:12:03,440 Speaker 1: you have it. That is what he says. His motivation is. 231 00:12:03,480 --> 00:12:06,600 Speaker 1: He just thinks that everything should be race neutral, right. 232 00:12:06,640 --> 00:12:10,440 Speaker 1: The Guardian describes him as quote a human wrecking ball 233 00:12:10,480 --> 00:12:12,839 Speaker 1: on a mission to destroy the landmark achievements of the 234 00:12:12,840 --> 00:12:15,360 Speaker 1: Civil rights era and send the country back to a 235 00:12:15,440 --> 00:12:18,000 Speaker 1: dark age of discrimination and harassment of minorities in the 236 00:12:18,000 --> 00:12:20,880 Speaker 1: workplace and higher education and at the ballot box. 237 00:12:23,160 --> 00:12:25,720 Speaker 5: Well, I mean, this is the very basis of hitting 238 00:12:26,280 --> 00:12:29,160 Speaker 5: that level of if everything was fair from the beginning, 239 00:12:29,640 --> 00:12:32,800 Speaker 5: great Great, if everything was equal and everybody had the 240 00:12:32,800 --> 00:12:36,719 Speaker 5: same equity, that would be a beautiful utopia. But as 241 00:12:36,760 --> 00:12:41,000 Speaker 5: we know, this land, this country, most countries that have 242 00:12:41,240 --> 00:12:45,480 Speaker 5: been colonized, is not based on that level, and that 243 00:12:45,600 --> 00:12:48,760 Speaker 5: it has never been about equity, has always been about 244 00:12:48,840 --> 00:12:51,439 Speaker 5: who has power and those who have power. Really was like, 245 00:12:51,480 --> 00:12:54,280 Speaker 5: but I love that time. That was a great time. 246 00:12:54,360 --> 00:12:55,240 Speaker 2: Okay, we have that. 247 00:12:55,280 --> 00:12:57,760 Speaker 5: Again, which is like, hmm, you know, we know what 248 00:12:57,800 --> 00:12:59,280 Speaker 5: you're really saying exactly. 249 00:13:11,080 --> 00:13:13,839 Speaker 1: The affirmative action ruling was not Blum's first rodeo. A 250 00:13:13,920 --> 00:13:16,000 Speaker 1: legal challenge that he brought was what led to the 251 00:13:16,000 --> 00:13:18,560 Speaker 1: gutting of the Voting Rights Act. That was the Shelby 252 00:13:18,679 --> 00:13:22,000 Speaker 1: County Versus Holder case that he sponsored in twenty thirteen, 253 00:13:22,240 --> 00:13:24,400 Speaker 1: and it led to the Supreme Court overturning a key 254 00:13:24,480 --> 00:13:27,360 Speaker 1: provision in the nineteen sixty five Voting Rights Act. That 255 00:13:27,480 --> 00:13:30,600 Speaker 1: legal challenge is when we saw the introduction of things 256 00:13:30,640 --> 00:13:34,120 Speaker 1: like voter ID requirements, cutting back on early voting, eliminating 257 00:13:34,120 --> 00:13:35,480 Speaker 1: same day voter registration. 258 00:13:35,640 --> 00:13:37,240 Speaker 2: All of that was because of him. 259 00:13:37,320 --> 00:13:42,199 Speaker 1: So thank you Edward Blum for ushering that into our landscape. 260 00:13:42,559 --> 00:13:44,319 Speaker 3: He's really the villain, yea. 261 00:13:44,880 --> 00:13:47,640 Speaker 1: In all the story on my podcast, there are no 262 00:13:47,679 --> 00:13:49,439 Speaker 1: girls on the Internet. We've referred to him a lot 263 00:13:49,480 --> 00:13:51,760 Speaker 1: as just like a professional hater like he is just 264 00:13:51,800 --> 00:13:53,080 Speaker 1: someone who like just. 265 00:13:53,000 --> 00:13:54,600 Speaker 2: Like hate hate hay hate hate like go. I don't 266 00:13:54,640 --> 00:13:58,600 Speaker 2: like that hate hate hate like professional hater does. 267 00:13:58,600 --> 00:13:59,440 Speaker 3: He is he very rich? 268 00:14:00,200 --> 00:14:02,559 Speaker 1: I think he's wealthy, like I think I think that he. 269 00:14:03,000 --> 00:14:04,960 Speaker 1: I've actually looked into him because I'm He's one of 270 00:14:04,960 --> 00:14:06,040 Speaker 1: those figures. 271 00:14:05,600 --> 00:14:08,160 Speaker 2: That I find so curious. 272 00:14:08,840 --> 00:14:12,000 Speaker 1: He did not come from wealth, but I think that 273 00:14:12,040 --> 00:14:15,120 Speaker 1: he has wealth now and he's just interested in using 274 00:14:15,120 --> 00:14:19,760 Speaker 1: that wealth and influencing those connections into creating these different 275 00:14:19,840 --> 00:14:22,800 Speaker 1: legal precedents that I would say harm us. 276 00:14:22,840 --> 00:14:26,520 Speaker 5: All right, he's that evil genius because we've seen that 277 00:14:26,760 --> 00:14:29,360 Speaker 5: in a lot of conservative think tanks as well as 278 00:14:29,760 --> 00:14:34,160 Speaker 5: essentially right wing groups that have been building up the 279 00:14:34,240 --> 00:14:38,200 Speaker 5: legal system to only help them, putting in uh those 280 00:14:38,240 --> 00:14:40,280 Speaker 5: in law school that they know that they can pull 281 00:14:40,320 --> 00:14:42,200 Speaker 5: back out and educating them and funding them to the 282 00:14:42,240 --> 00:14:44,280 Speaker 5: full in order to come back out and do these 283 00:14:44,320 --> 00:14:47,520 Speaker 5: types of cases, knowing that if they can do this, 284 00:14:47,520 --> 00:14:49,320 Speaker 5: this is going to be the basis of how they win. 285 00:14:50,080 --> 00:14:52,880 Speaker 1: Oh yes, Like, did you guys, did you all see 286 00:14:52,920 --> 00:14:57,200 Speaker 1: that docuseries on the Duggers on Hulu? No? 287 00:14:57,200 --> 00:15:00,600 Speaker 3: I couldn't get to their yet, so that's the whole thing. 288 00:15:01,000 --> 00:15:05,240 Speaker 1: It's a real like jeeze, as you might imagine. But sure, 289 00:15:05,480 --> 00:15:07,880 Speaker 1: one of the things they make very clear is that 290 00:15:08,760 --> 00:15:12,680 Speaker 1: it's not just about like this one problematic super religious 291 00:15:12,680 --> 00:15:16,040 Speaker 1: family on TV. It is about this vast network of 292 00:15:16,360 --> 00:15:20,360 Speaker 1: young people who are being like trained and educated and 293 00:15:20,560 --> 00:15:24,080 Speaker 1: ursol are very well connected to reach the highest levels 294 00:15:24,160 --> 00:15:27,320 Speaker 1: of government and influence to make laws for all of us. 295 00:15:27,320 --> 00:15:31,480 Speaker 1: So it's not enough that like their kids are homeschooled 296 00:15:31,560 --> 00:15:34,440 Speaker 1: or that their kids live a certain way. They are 297 00:15:34,600 --> 00:15:38,480 Speaker 1: training the next generation of political operatives and lawmakers to 298 00:15:38,520 --> 00:15:40,440 Speaker 1: make sure that all of us and all of our 299 00:15:40,560 --> 00:15:43,760 Speaker 1: kids live the way that they think that they should 300 00:15:43,760 --> 00:15:48,080 Speaker 1: be living. So it's pretty, I guess some diabolical. 301 00:15:48,840 --> 00:15:50,120 Speaker 2: It's the word I would use. 302 00:15:50,880 --> 00:15:54,640 Speaker 1: You mentioned earlier, how when you were having conversations about college, 303 00:15:54,680 --> 00:15:57,920 Speaker 1: you remember watching the first wave of the affirmative action 304 00:15:58,040 --> 00:16:01,280 Speaker 1: legal challenge go down. And even if folks weren't following 305 00:16:01,520 --> 00:16:05,320 Speaker 1: affirmative action very closely, they might remember Blum's earlier attempt 306 00:16:05,320 --> 00:16:08,440 Speaker 1: to challenge it. So Blum had been working to challenge 307 00:16:08,480 --> 00:16:11,560 Speaker 1: affirmative action since twenty thirteen, when he worked with this woman, 308 00:16:11,720 --> 00:16:14,200 Speaker 1: Abigail Fisher, who was the daughter of a good friend 309 00:16:14,200 --> 00:16:16,880 Speaker 1: of his who was a white woman. She you might 310 00:16:16,920 --> 00:16:19,760 Speaker 1: umber shid red hair. She did not get into University 311 00:16:19,800 --> 00:16:23,360 Speaker 1: of Texas because her GPA was frankly mid. She sued 312 00:16:23,360 --> 00:16:25,720 Speaker 1: the University of Texas at Austin in two thousand and 313 00:16:25,720 --> 00:16:28,560 Speaker 1: eight after it denied her admission. She had a three 314 00:16:28,600 --> 00:16:31,600 Speaker 1: point five to nine GPA as a senior, which put 315 00:16:31,640 --> 00:16:35,840 Speaker 1: her just below the cutoff for a state law requiring 316 00:16:36,000 --> 00:16:38,720 Speaker 1: UT to accept any graduate in the top ten percent 317 00:16:38,880 --> 00:16:42,240 Speaker 1: of their high school class. So like mathematically speaking, she 318 00:16:42,360 --> 00:16:44,200 Speaker 1: was not in the top ten percent of her high 319 00:16:44,240 --> 00:16:47,240 Speaker 1: school class. She felt that she should have still gotten 320 00:16:47,640 --> 00:16:51,880 Speaker 1: admission because of her extracurricular activities combined with her GPA, 321 00:16:52,520 --> 00:16:55,040 Speaker 1: and that she would have gotten into UT if the 322 00:16:55,160 --> 00:16:58,720 Speaker 1: university had not used race as a factor in selecting 323 00:16:58,720 --> 00:17:01,520 Speaker 1: its freshman class, which she argued was a violation of 324 00:17:01,520 --> 00:17:03,520 Speaker 1: the Fourteenth Amendment's Equal Protection clause. 325 00:17:04,200 --> 00:17:05,760 Speaker 2: Do you all remember this? Like she was like a 326 00:17:05,920 --> 00:17:08,520 Speaker 2: very like memorable. 327 00:17:08,040 --> 00:17:11,000 Speaker 1: Figure, Like I feel like when I when I hear 328 00:17:11,040 --> 00:17:13,240 Speaker 1: about this, I can see this one image of her 329 00:17:13,640 --> 00:17:15,960 Speaker 1: standing at a podium outside of the Supreme Court, which 330 00:17:16,000 --> 00:17:17,119 Speaker 1: is like burned in my mind. 331 00:17:17,240 --> 00:17:20,479 Speaker 5: I do remember this because I remember thinking, this is 332 00:17:20,600 --> 00:17:24,440 Speaker 5: the dumbest argument I've ever seen, because I'm like, girl, 333 00:17:24,520 --> 00:17:27,520 Speaker 5: you didn't make it, Like even without a firmative action, 334 00:17:27,640 --> 00:17:29,760 Speaker 5: you wouldn't have you wouldn't have made it. Do you 335 00:17:29,800 --> 00:17:32,480 Speaker 5: not understand how many people are struggling to get into 336 00:17:32,520 --> 00:17:35,600 Speaker 5: college today because a little more access has happened, not 337 00:17:35,640 --> 00:17:37,840 Speaker 5: just because of a firmative action, but like the lottery 338 00:17:38,000 --> 00:17:40,600 Speaker 5: and all of those things when we had more scholarships. 339 00:17:41,280 --> 00:17:42,919 Speaker 5: I was just like, why are people listening to her? 340 00:17:42,960 --> 00:17:44,520 Speaker 5: I think that was the biggest question in my head. 341 00:17:44,560 --> 00:17:46,479 Speaker 5: I was like, why are we paying attention to this? 342 00:17:46,600 --> 00:17:49,160 Speaker 3: Like she has no case, I think I thought. 343 00:17:49,960 --> 00:17:53,480 Speaker 4: I remember thinking like is this an onion headbline? Like 344 00:17:54,440 --> 00:17:59,800 Speaker 4: she didn't get just the grades are bad and now she's. 345 00:17:59,160 --> 00:18:01,239 Speaker 5: I think that was the begin of like, oh, this 346 00:18:01,320 --> 00:18:04,440 Speaker 5: is a Becky sorry Becky's in the world. That's really 347 00:18:04,440 --> 00:18:05,720 Speaker 5: just whining because she couldn't get. 348 00:18:05,600 --> 00:18:07,760 Speaker 3: Her away like that. I remember like that was the. 349 00:18:07,560 --> 00:18:10,440 Speaker 5: Beginning of that of like, oh, sorority girl was again 350 00:18:10,480 --> 00:18:12,879 Speaker 5: no no, no, no, hay to sorority people. I'm so sorry, 351 00:18:13,040 --> 00:18:15,639 Speaker 5: but you know that level like stereotype in that my 352 00:18:15,720 --> 00:18:17,400 Speaker 5: daddy said that I could get in, and now I'm 353 00:18:17,440 --> 00:18:17,679 Speaker 5: not in. 354 00:18:17,840 --> 00:18:21,880 Speaker 1: Why so the way that y'all are reacting is exactly 355 00:18:21,880 --> 00:18:25,800 Speaker 1: how I'm This is validating because I remember her being 356 00:18:25,840 --> 00:18:28,800 Speaker 1: treated like kind of a joke, like her GP was 357 00:18:28,800 --> 00:18:31,119 Speaker 1: like fine, but certainly at three point like it's a 358 00:18:31,119 --> 00:18:32,560 Speaker 1: lot higher than my GPA was when I was in 359 00:18:32,640 --> 00:18:33,040 Speaker 1: high school. 360 00:18:33,080 --> 00:18:36,359 Speaker 2: So like, I'll own that, but like you know, it's not. 361 00:18:36,720 --> 00:18:38,920 Speaker 1: Three point five nine is not an automatic entrance to 362 00:18:38,960 --> 00:18:40,040 Speaker 1: wherever you want to go to college. 363 00:18:40,080 --> 00:18:41,160 Speaker 2: It's like a fine GPA. 364 00:18:41,480 --> 00:18:44,159 Speaker 1: And so I remember people calling her becky with the 365 00:18:44,200 --> 00:18:48,320 Speaker 1: bad grades, and the vibe around her was like she 366 00:18:48,480 --> 00:18:50,439 Speaker 1: was just salty that she didn't get in, and so 367 00:18:50,600 --> 00:18:53,800 Speaker 1: she was like blaming black people. And so obviously she 368 00:18:53,960 --> 00:18:57,800 Speaker 1: was not a very I guess sympathetic legal challenge to 369 00:18:58,000 --> 00:19:02,440 Speaker 1: affirmative action. So obviously Abigail's legal challenge did not work. 370 00:19:02,520 --> 00:19:06,280 Speaker 1: So Bum regrouped and made the strategic choice to make 371 00:19:06,320 --> 00:19:08,840 Speaker 1: the face of affirmative action or the people being harmed 372 00:19:08,840 --> 00:19:12,119 Speaker 1: by affirmative action, according to him, Asian Americans. According to 373 00:19:12,160 --> 00:19:14,800 Speaker 1: an NPR article he told a gathering of the Houston 374 00:19:14,880 --> 00:19:18,240 Speaker 1: Chinese Alliance in twenty fifteen, quote, I needed plaintiffs. 375 00:19:18,359 --> 00:19:20,000 Speaker 2: I needed Asian plaintiffs. 376 00:19:20,520 --> 00:19:23,680 Speaker 1: NPR spoke to Hannay Lopez, a race and constitutional law 377 00:19:23,680 --> 00:19:27,240 Speaker 1: scholar at Berkeley, who described this as a deliberate switch 378 00:19:27,320 --> 00:19:31,080 Speaker 1: in strategy and that the argument was no longer centered 379 00:19:31,119 --> 00:19:34,680 Speaker 1: on how affirmative action impacts white people. Instead, quote, there's 380 00:19:34,720 --> 00:19:37,399 Speaker 1: this move to strengthen the surface argument that this is 381 00:19:37,480 --> 00:19:38,840 Speaker 1: racism against minorities. 382 00:19:38,920 --> 00:19:40,280 Speaker 2: I think it's part of the appeal. 383 00:19:40,320 --> 00:19:43,880 Speaker 1: And so I've read like Asian American activists and advocates 384 00:19:43,920 --> 00:19:47,560 Speaker 1: saying that, like what he was doing was this intentional 385 00:19:47,960 --> 00:19:52,080 Speaker 1: shift to make Asian Americans like a proxy stand in 386 00:19:52,520 --> 00:19:55,680 Speaker 1: for white people to be like, oh no, like this 387 00:19:55,760 --> 00:19:59,479 Speaker 1: can't be about racial animis because I am trying to 388 00:19:59,680 --> 00:20:02,840 Speaker 1: add vocate for Asian Americans. And again, I think it's 389 00:20:02,880 --> 00:20:06,719 Speaker 1: a really great example of how effective a strategy it 390 00:20:06,800 --> 00:20:10,320 Speaker 1: is to pit marginalized groups against one another in service 391 00:20:10,320 --> 00:20:14,080 Speaker 1: of white supremacy. Because in the end, it's not like 392 00:20:15,040 --> 00:20:18,320 Speaker 1: I think, since affirmative action has been struck down, we've 393 00:20:18,359 --> 00:20:21,560 Speaker 1: already seen data trickle in that wasn't that long ago, 394 00:20:21,600 --> 00:20:24,720 Speaker 1: but already we've seen data trickle in that suggests that like, yeah, 395 00:20:24,840 --> 00:20:29,160 Speaker 1: it's it's white people with connections. It's white legacy students 396 00:20:29,320 --> 00:20:34,040 Speaker 1: who are continuing to get more slots in admissions. It's 397 00:20:34,119 --> 00:20:37,280 Speaker 1: not you know, it's certainly not helping the Asian Americans 398 00:20:37,600 --> 00:20:40,720 Speaker 1: who were who brought this challenge. It's actually just opening 399 00:20:40,800 --> 00:20:44,360 Speaker 1: up more slots for more rich white people, because that's 400 00:20:44,359 --> 00:20:46,919 Speaker 1: how college works in the United States, right. 401 00:20:47,400 --> 00:20:50,680 Speaker 5: And of course it's play is being used by other 402 00:20:51,640 --> 00:20:55,719 Speaker 5: places such as Florida do doing the Asian American history 403 00:20:56,200 --> 00:20:59,359 Speaker 5: in set but blacklisting African American history. And we know 404 00:20:59,400 --> 00:21:02,280 Speaker 5: what that place is that that's the same type of narrative. 405 00:21:02,280 --> 00:21:04,520 Speaker 5: They're like, oh, this is working, Let's try this, let's 406 00:21:04,600 --> 00:21:06,040 Speaker 5: keep this going exactly. 407 00:21:06,600 --> 00:21:08,159 Speaker 2: So, I really wanted to talk about. 408 00:21:08,200 --> 00:21:12,600 Speaker 1: So, after on the heels of successfully getting the Supreme 409 00:21:12,600 --> 00:21:16,200 Speaker 1: Court to strike down affirmative Action, what is Blum's next move? Well, 410 00:21:16,440 --> 00:21:19,680 Speaker 1: he is back after gutting affirmative Action. His next move 411 00:21:19,800 --> 00:21:23,560 Speaker 1: is going after fellowships and grant programs that support marginalized people. 412 00:21:24,080 --> 00:21:26,840 Speaker 1: He is suing two corporate law firms on the grounds 413 00:21:26,840 --> 00:21:29,359 Speaker 1: that they're fellowship programs that are aimed at students of color, 414 00:21:29,720 --> 00:21:33,320 Speaker 1: those who identify as LGBTQ plus, and students with disabilities 415 00:21:33,440 --> 00:21:36,879 Speaker 1: exclude applicants based on race, and he is demanding that 416 00:21:36,920 --> 00:21:41,159 Speaker 1: those programs be shut down. He is also suing a 417 00:21:41,200 --> 00:21:44,560 Speaker 1: black venture capital firm called the Fearless Fund. So this 418 00:21:44,640 --> 00:21:46,520 Speaker 1: is kind of the meat of why I wanted to 419 00:21:46,560 --> 00:21:50,000 Speaker 1: bring this conversation to the table today, because he is 420 00:21:50,040 --> 00:21:54,119 Speaker 1: alleging that the Fearless Fund is practicing unlawful racial discrimination. 421 00:21:54,600 --> 00:21:57,879 Speaker 1: Blum claims the Fearless Fund is engaged in explicit racial 422 00:21:57,880 --> 00:22:02,000 Speaker 1: exclusion by operating a grant program quote only open to 423 00:22:02,080 --> 00:22:05,560 Speaker 1: black females. According to The Washington Post, the lawsuit is 424 00:22:05,600 --> 00:22:08,160 Speaker 1: asked to prevent the Fund from selecting its next round 425 00:22:08,160 --> 00:22:10,240 Speaker 1: of grant winners. The claim states that the firm is 426 00:22:10,320 --> 00:22:13,080 Speaker 1: quote violating Section nineteen eighty one of the Civil Rights 427 00:22:13,119 --> 00:22:15,920 Speaker 1: Act of eighteen sixty six, a US law barring racial 428 00:22:15,920 --> 00:22:19,760 Speaker 1: bias in private contracts, by making only black women eligible 429 00:22:19,840 --> 00:22:24,520 Speaker 1: in the grant competition. So yeah, he's just like coming 430 00:22:24,640 --> 00:22:26,840 Speaker 1: after anything. 431 00:22:26,480 --> 00:22:30,640 Speaker 2: That he sees as supporting non white people. 432 00:22:31,280 --> 00:22:33,760 Speaker 1: The Fearless fun was launched in twenty nineteen by three 433 00:22:33,800 --> 00:22:37,080 Speaker 1: prominent black women. Keisha Knight Pullman, who you might remember 434 00:22:37,080 --> 00:22:41,439 Speaker 1: as Rudy Huxtable on The Cosby Show, entrepreneur arian Simone 435 00:22:41,560 --> 00:22:45,399 Speaker 1: and corporate executive Ayana Parsons. They have a strong and 436 00:22:45,480 --> 00:22:49,720 Speaker 1: impressive list of investors like Bank of America, Costco, General Mills, MasterCard, 437 00:22:49,760 --> 00:22:53,000 Speaker 1: JP Morgan. They've invested in over forty businesses in the 438 00:22:53,040 --> 00:22:56,320 Speaker 1: past four years, including Atlanta favorite The Slutty Vegan. 439 00:22:56,320 --> 00:22:57,120 Speaker 2: Have y'all eaten there? 440 00:22:57,359 --> 00:22:57,520 Speaker 5: Oh? 441 00:22:57,600 --> 00:23:00,480 Speaker 3: Yeah, it was near my house, so I lived. 442 00:23:00,560 --> 00:23:03,879 Speaker 4: Yeah, Samantha, I was smart and went during the Super Bowl, 443 00:23:04,200 --> 00:23:05,920 Speaker 4: so there was no one there. 444 00:23:06,480 --> 00:23:09,480 Speaker 3: So they stay open till two am. 445 00:23:09,840 --> 00:23:11,960 Speaker 5: And so when the Super Bowl lots because it's always 446 00:23:11,960 --> 00:23:15,320 Speaker 5: packed out, and we went at it still took forever. 447 00:23:16,200 --> 00:23:19,000 Speaker 3: They made good food. It takes a while, but yeah, 448 00:23:19,000 --> 00:23:21,879 Speaker 3: we would. I think there only been once though I 449 00:23:21,920 --> 00:23:22,800 Speaker 3: don't stand in lines. 450 00:23:23,960 --> 00:23:24,879 Speaker 4: It was a long line. 451 00:23:24,960 --> 00:23:26,119 Speaker 2: I've never been, but I. 452 00:23:27,600 --> 00:23:31,000 Speaker 5: And she has expanded that business everywhere, especially in Atlanta 453 00:23:31,160 --> 00:23:31,880 Speaker 5: and then Georgia. 454 00:23:31,960 --> 00:23:34,760 Speaker 3: So good on her and owns a lot of property. 455 00:23:34,960 --> 00:23:37,399 Speaker 1: That wouldn't be possible without the Fearless Fund And so 456 00:23:38,480 --> 00:23:41,880 Speaker 1: the lawsuit that Blum is bringing centers on the Fearless 457 00:23:41,880 --> 00:23:45,359 Speaker 1: Funds Fearless Strivers Grant Contest, which awards black women who 458 00:23:45,440 --> 00:23:48,000 Speaker 1: own a small businesses twenty thousand dollars in grants and 459 00:23:48,080 --> 00:23:52,200 Speaker 1: digital tools to help them grow their businesses and mentorship opportunities. 460 00:23:52,640 --> 00:23:57,000 Speaker 1: So interestingly enough, Blama did not seek out the Fearless 461 00:23:57,000 --> 00:23:59,400 Speaker 1: fund to sue, but rather, he says that a non 462 00:23:59,520 --> 00:24:02,159 Speaker 1: black woman who runs a business reached out to him 463 00:24:02,240 --> 00:24:06,080 Speaker 1: via email and flagged like, did you know that these 464 00:24:06,119 --> 00:24:08,639 Speaker 1: black women are running a grant program that I can't 465 00:24:08,640 --> 00:24:09,199 Speaker 1: be part of? 466 00:24:09,600 --> 00:24:10,800 Speaker 2: And so the Washington. 467 00:24:10,520 --> 00:24:14,479 Speaker 1: Post reports, but the lawsuit sites three female business owners, 468 00:24:14,480 --> 00:24:17,080 Speaker 1: one from New York and two from Virginia who argued 469 00:24:17,080 --> 00:24:20,240 Speaker 1: that they could have benefited from the Fearless Funds grant program, 470 00:24:20,440 --> 00:24:24,680 Speaker 1: but they were ineligible because they are not black. So yeah, 471 00:24:24,840 --> 00:24:28,880 Speaker 1: these non black women basically just felt like they should 472 00:24:30,080 --> 00:24:34,160 Speaker 1: be entitled to this grant program that black women established 473 00:24:34,400 --> 00:24:36,520 Speaker 1: for themselves to support black women. 474 00:24:36,680 --> 00:24:39,000 Speaker 2: They were like, we should have a piece of that. 475 00:24:39,480 --> 00:24:42,320 Speaker 5: That's such an interesting take because I'm like, well, you 476 00:24:42,440 --> 00:24:47,080 Speaker 5: also didn't get it from every other business grant ever, 477 00:24:47,560 --> 00:24:50,280 Speaker 5: so why are you choosing this like you. 478 00:24:50,240 --> 00:24:51,920 Speaker 3: Want did you try for it? 479 00:24:52,480 --> 00:24:54,520 Speaker 5: This just seems like a lazy part of like I 480 00:24:54,520 --> 00:24:56,280 Speaker 5: want this one thing, I couldn't get it. 481 00:24:56,320 --> 00:24:58,160 Speaker 3: I quit They're biased, like. 482 00:24:58,760 --> 00:25:03,840 Speaker 1: Yeah, I mean, this is just my opinion, but like 483 00:25:04,520 --> 00:25:06,760 Speaker 1: it's so hard to not see this as like just 484 00:25:06,840 --> 00:25:10,000 Speaker 1: hater vibes, like everything has to be for you, and 485 00:25:10,040 --> 00:25:11,920 Speaker 1: if it's not for you, you have to shut it down. 486 00:25:12,760 --> 00:25:16,080 Speaker 1: I think it goes back to what we were saying 487 00:25:16,119 --> 00:25:19,399 Speaker 1: earlier about the women who benefit from affirmative action are 488 00:25:19,440 --> 00:25:22,000 Speaker 1: also the ones who are the most likely to be 489 00:25:22,040 --> 00:25:22,680 Speaker 1: against it. 490 00:25:24,359 --> 00:25:27,280 Speaker 2: I firmly believe that there is enough. 491 00:25:27,240 --> 00:25:30,399 Speaker 1: Out there for all of us. And I'm an entrepreneur, right, 492 00:25:30,440 --> 00:25:35,119 Speaker 1: so I know how hard the funding spaces for women, 493 00:25:35,680 --> 00:25:38,399 Speaker 1: all women, but I know how hard it is for 494 00:25:38,520 --> 00:25:40,360 Speaker 1: black women, in particular as a black woman. 495 00:25:40,359 --> 00:25:42,200 Speaker 2: We'll get into some of the stats and just a moment, but. 496 00:25:42,760 --> 00:25:46,800 Speaker 1: I believe that despite that, there is enough for everyone. 497 00:25:46,920 --> 00:25:49,600 Speaker 1: Everyone will find their lane, everyone will find their people, 498 00:25:49,640 --> 00:25:51,959 Speaker 1: Everyone will find what they need to make what they 499 00:25:52,000 --> 00:25:54,720 Speaker 1: want happen. I believe that as like a like a 500 00:25:54,920 --> 00:25:58,080 Speaker 1: meditation that keeps me in this work and keeps me 501 00:25:59,000 --> 00:25:59,960 Speaker 1: being an entrepreneur. 502 00:26:00,480 --> 00:26:03,400 Speaker 2: But I feel like the dynamic that. 503 00:26:03,440 --> 00:26:06,800 Speaker 1: Says that women need to be pit against each other, 504 00:26:06,920 --> 00:26:09,080 Speaker 1: that if you're a white woman, you need to be 505 00:26:10,000 --> 00:26:12,440 Speaker 1: trying to shut down a grant that is for black women. 506 00:26:12,680 --> 00:26:15,320 Speaker 1: That's not a dynamic that helps anybody, right, And so 507 00:26:16,080 --> 00:26:17,280 Speaker 1: I think that we all have. 508 00:26:17,320 --> 00:26:19,000 Speaker 2: Our place, we all have our niche urs, and that 509 00:26:19,160 --> 00:26:19,760 Speaker 2: for all of us. 510 00:26:20,119 --> 00:26:23,480 Speaker 1: But that dynamic that we are enemies only serve that 511 00:26:23,480 --> 00:26:25,600 Speaker 1: does not serve anybody. It doesn't serve me, it doesn't 512 00:26:25,600 --> 00:26:27,800 Speaker 1: serve it. It ultimately won't serve them as either. It 513 00:26:27,960 --> 00:26:31,040 Speaker 1: just keeps us pit against each other as opposed to 514 00:26:31,080 --> 00:26:33,840 Speaker 1: these larger systems that are actually holding us all down. 515 00:26:34,040 --> 00:26:36,359 Speaker 5: It's such a mind blade that they have to people 516 00:26:36,440 --> 00:26:38,359 Speaker 5: have to go through to be like, Okay, I can't 517 00:26:38,359 --> 00:26:40,520 Speaker 5: get this one thing because they say I can't have it, 518 00:26:40,560 --> 00:26:42,440 Speaker 5: so that means no one should have it, because I'm 519 00:26:42,440 --> 00:26:45,240 Speaker 5: gonna be miserable, and so are you. Misery List company, 520 00:26:45,240 --> 00:26:47,480 Speaker 5: We're going to keep this mentality going and then also 521 00:26:47,680 --> 00:26:50,879 Speaker 5: not look at the like, here's the small thing versus 522 00:26:51,000 --> 00:26:53,480 Speaker 5: the giant amount of stuff that you also can't give 523 00:26:53,520 --> 00:26:56,840 Speaker 5: because you're not a rich white man, but you don't 524 00:26:56,880 --> 00:26:59,160 Speaker 5: care about that thing, Like that's the one thing that's 525 00:26:59,200 --> 00:27:01,920 Speaker 5: a little bit more accessible to tear someone down who 526 00:27:02,000 --> 00:27:04,159 Speaker 5: other people will help you tear down with instead of 527 00:27:04,160 --> 00:27:06,640 Speaker 5: this big, giant amount of cash that's just sitting here 528 00:27:07,000 --> 00:27:09,000 Speaker 5: for the white man, Like it's just I said for 529 00:27:09,040 --> 00:27:12,040 Speaker 5: the white man, like I'm a native, but like that, 530 00:27:12,160 --> 00:27:14,719 Speaker 5: you know, that's just like mind level of like how 531 00:27:14,800 --> 00:27:18,120 Speaker 5: much you're willing to ignore to be like, Okay, I'm 532 00:27:18,119 --> 00:27:20,439 Speaker 5: at the bottom. Who can I make lesser than me? 533 00:27:20,560 --> 00:27:22,480 Speaker 5: Who can I push down further than me? So at 534 00:27:22,480 --> 00:27:24,479 Speaker 5: the very least I'm not at the very bottom. Oh 535 00:27:24,520 --> 00:27:26,120 Speaker 5: my god, it's such a mind trick. 536 00:27:26,480 --> 00:27:28,320 Speaker 1: This reminds me of when I was a little kid 537 00:27:28,400 --> 00:27:31,439 Speaker 1: and my brother had this like free coupon for an 538 00:27:31,480 --> 00:27:34,040 Speaker 1: ice cream from McDonald's that he got from school. So 539 00:27:34,080 --> 00:27:36,760 Speaker 1: he went to McDonald's together and he got one ice 540 00:27:36,800 --> 00:27:38,159 Speaker 1: cream and I didn't have any money because we were 541 00:27:38,160 --> 00:27:40,440 Speaker 1: little kids, and so they gave him his ice cream 542 00:27:40,480 --> 00:27:42,359 Speaker 1: and I got very jealous, and so I smacked it 543 00:27:42,400 --> 00:27:43,920 Speaker 1: out of his hand onto the ground, and. 544 00:27:43,880 --> 00:27:45,679 Speaker 2: He was like, I was gonna give you a bite. 545 00:27:46,680 --> 00:27:48,840 Speaker 1: That's like, because I was like, I don't want him 546 00:27:48,880 --> 00:27:50,280 Speaker 1: to get something that I can't have. 547 00:27:50,920 --> 00:27:52,280 Speaker 2: It really got a flattering. 548 00:27:52,000 --> 00:27:55,439 Speaker 1: Story, but I was like seven years old, right, It's 549 00:27:55,480 --> 00:27:55,879 Speaker 1: like he was. 550 00:27:55,880 --> 00:27:56,680 Speaker 2: Gonna give me a bite. 551 00:27:56,760 --> 00:27:58,720 Speaker 1: So I missed out on getting my bite because I 552 00:27:58,760 --> 00:28:01,639 Speaker 1: could not just let him have something that I wanted 553 00:28:01,680 --> 00:28:02,919 Speaker 1: and felt entitled. 554 00:28:02,520 --> 00:28:07,840 Speaker 3: To you immediately and probably earned. I'm thinking of an 555 00:28:07,880 --> 00:28:09,000 Speaker 3: accelerated reader. 556 00:28:11,119 --> 00:28:11,720 Speaker 2: What it was like. 557 00:28:11,800 --> 00:28:13,840 Speaker 1: It was like a if you read X amount of books, 558 00:28:13,880 --> 00:28:15,960 Speaker 1: you get an ice an ice cream coupon or something. 559 00:28:17,320 --> 00:28:20,520 Speaker 5: I weren't for this, but yeah, I think this is 560 00:28:20,240 --> 00:28:23,199 Speaker 5: so interesting. And the fact that he, of course Blum 561 00:28:23,320 --> 00:28:25,439 Speaker 5: had to pounce on this, I'm sure it was like 562 00:28:26,080 --> 00:28:27,320 Speaker 5: a gift for him. 563 00:28:27,359 --> 00:28:28,400 Speaker 3: Yeah, I must take this. 564 00:28:29,000 --> 00:28:30,600 Speaker 1: He was like, ooh, I was looking for a way 565 00:28:30,640 --> 00:28:33,160 Speaker 1: to spread my hater vibes and yeah, sure that Supreme 566 00:28:33,200 --> 00:28:34,600 Speaker 1: Court ruling and now this lands. 567 00:28:34,680 --> 00:28:36,560 Speaker 2: This gift, lands in my inbox. 568 00:28:36,240 --> 00:28:38,880 Speaker 3: And also makes me stronger, stronger than the woman who's complaining. 569 00:28:39,200 --> 00:28:52,960 Speaker 1: Exactly, So Blum is using what he has called quote 570 00:28:53,040 --> 00:28:56,240 Speaker 1: the shoe on the other foot test. The rhetorical strategy 571 00:28:56,280 --> 00:28:59,480 Speaker 1: that he asked himself is if a grant program funded 572 00:28:59,600 --> 00:29:03,000 Speaker 1: white male business owners, would it be considered fair. But 573 00:29:03,200 --> 00:29:06,520 Speaker 1: that test, like you were saying, Sam, really assumes that 574 00:29:06,520 --> 00:29:10,000 Speaker 1: we are all equal and all have equal access, which 575 00:29:10,000 --> 00:29:13,480 Speaker 1: the data could not paint a clearer picture about the 576 00:29:13,520 --> 00:29:16,760 Speaker 1: fact that that is not happening. Black women are the 577 00:29:16,840 --> 00:29:19,560 Speaker 1: fastest rising group of entrepreneurs in the country. According to 578 00:29:19,560 --> 00:29:22,800 Speaker 1: the Harvard Business Review, in the US, an astounding seventeen 579 00:29:22,800 --> 00:29:24,760 Speaker 1: percent of Black women are in the process of starting 580 00:29:24,880 --> 00:29:26,840 Speaker 1: or running a new business. That's compared to just ten 581 00:29:26,880 --> 00:29:29,760 Speaker 1: percent of white women and fifteen percent of white men. Yet, 582 00:29:30,160 --> 00:29:33,280 Speaker 1: despite this lead, only three percent of women are running 583 00:29:33,320 --> 00:29:37,640 Speaker 1: mature businesses. Why well, One big reason is access to capital. 584 00:29:37,880 --> 00:29:40,600 Speaker 1: Harvard Business Reviews research found that sixty one percent of 585 00:29:40,600 --> 00:29:43,520 Speaker 1: Black women self fund their total startup capital. This is 586 00:29:43,560 --> 00:29:46,080 Speaker 1: in spite of the fact that, in their finding, only 587 00:29:46,080 --> 00:29:48,680 Speaker 1: twenty nine percent of Black women entrepreneurs live in households 588 00:29:48,720 --> 00:29:51,840 Speaker 1: with incomes over seventy five thousand dollars, compared to fifty 589 00:29:51,840 --> 00:29:55,320 Speaker 1: two percent of white men. This data is also combined 590 00:29:55,320 --> 00:29:57,840 Speaker 1: with data suggesting that Black women are less likely to 591 00:29:57,840 --> 00:30:00,760 Speaker 1: own our own homesick on a higher level of debt 592 00:30:00,760 --> 00:30:03,360 Speaker 1: to do things like go to college, and are often 593 00:30:03,400 --> 00:30:06,120 Speaker 1: like saddled with debt to go to college right, and 594 00:30:06,160 --> 00:30:10,480 Speaker 1: so ultimately that leaves us saddled with more debt and 595 00:30:10,760 --> 00:30:15,760 Speaker 1: having fewer personal resources and low collateral. Black entrepreneurs typically 596 00:30:15,840 --> 00:30:19,080 Speaker 1: receive less than two percent of all venture capital dollars 597 00:30:19,120 --> 00:30:22,800 Speaker 1: each year while companies led by black women receive less 598 00:30:22,800 --> 00:30:26,400 Speaker 1: than one percent of all funding. This is according to Crunchbase. 599 00:30:26,840 --> 00:30:31,560 Speaker 1: So yeah, the funding landscape is not great for black women. 600 00:30:31,840 --> 00:30:34,880 Speaker 1: Less than one percent of funding goes to us. 601 00:30:35,080 --> 00:30:37,640 Speaker 2: And so the fact that we already. 602 00:30:37,320 --> 00:30:41,040 Speaker 1: Don't get that much, that there are grants and investment 603 00:30:41,080 --> 00:30:46,480 Speaker 1: funds specifically aimed at shifting those numbers just a tiny bit, 604 00:30:47,120 --> 00:30:49,440 Speaker 1: like the Fearless Fund, and that people are saying, no, 605 00:30:49,520 --> 00:30:51,600 Speaker 1: we need to go for that too, that less than 606 00:30:51,600 --> 00:30:54,320 Speaker 1: one percent that goes to y'all that needs to go 607 00:30:54,360 --> 00:30:57,120 Speaker 1: to us. Now, in twenty twenty, Pew found that just 608 00:30:57,160 --> 00:31:00,680 Speaker 1: three percent of US businesses were black owned, eighty six 609 00:31:00,720 --> 00:31:04,000 Speaker 1: percent were white owned. And so, yeah, as I said, like, 610 00:31:04,680 --> 00:31:10,360 Speaker 1: as an entrepreneur, these kind of dismal numbers completely aligned 611 00:31:10,400 --> 00:31:13,560 Speaker 1: with my own experiences trying to raise money for projects 612 00:31:13,560 --> 00:31:14,240 Speaker 1: that I want to do. 613 00:31:14,800 --> 00:31:17,320 Speaker 2: There's just not a lot out there, and you really 614 00:31:17,360 --> 00:31:17,800 Speaker 2: have to. 615 00:31:19,800 --> 00:31:23,440 Speaker 1: Stay focused and stay positive and not really let the 616 00:31:23,600 --> 00:31:26,400 Speaker 1: sort of numbers around how dismal things can be kind. 617 00:31:26,320 --> 00:31:27,200 Speaker 2: Of get in your head. 618 00:31:27,400 --> 00:31:29,280 Speaker 1: But then on top of it, when you have people 619 00:31:29,360 --> 00:31:31,880 Speaker 1: like Blum and these women that he's representing in this 620 00:31:31,960 --> 00:31:35,160 Speaker 1: case to challenge these funds to challenge what little is 621 00:31:35,240 --> 00:31:37,920 Speaker 1: out there for black entrepreneurs who are women. It's hard 622 00:31:37,960 --> 00:31:41,600 Speaker 1: to internalize that as anything other than they don't want 623 00:31:41,680 --> 00:31:41,960 Speaker 1: us here. 624 00:31:42,000 --> 00:31:43,640 Speaker 2: They don't want us to have anything, you know. 625 00:31:44,240 --> 00:31:51,000 Speaker 4: Yeah, absolutely, And it's so frustrating too, because a lot 626 00:31:51,040 --> 00:31:57,720 Speaker 4: of companies like to act like they are supporting marginalized people, 627 00:31:58,040 --> 00:32:01,480 Speaker 4: they are supporting black people, and they make these like 628 00:32:01,520 --> 00:32:07,760 Speaker 4: outward promises and then just don't really follow through with them. 629 00:32:07,960 --> 00:32:10,640 Speaker 1: Yeah, y'all might remember or be thinking like I got 630 00:32:10,680 --> 00:32:14,640 Speaker 1: in twenty twenty, like, after all the racial justice uprisings 631 00:32:14,640 --> 00:32:16,400 Speaker 1: on the wake of the murder of George Floyd. I 632 00:32:16,440 --> 00:32:18,840 Speaker 1: thought that all these businesses and funds and grants were 633 00:32:18,880 --> 00:32:23,280 Speaker 1: like going to start funding more diverse people and like 634 00:32:23,640 --> 00:32:25,400 Speaker 1: having a more inclusive portfolio. 635 00:32:25,880 --> 00:32:27,640 Speaker 2: While I remember all those promises too. 636 00:32:28,000 --> 00:32:32,320 Speaker 1: Businesses committed three hundred and forty billion dollars between May 637 00:32:32,360 --> 00:32:35,560 Speaker 1: twenty twenty and October twenty twenty two, according to McKenzie, 638 00:32:36,160 --> 00:32:38,760 Speaker 1: and The Post also reports that investments swelled in the 639 00:32:38,760 --> 00:32:42,080 Speaker 1: startup world. A record five point one billion dollars in 640 00:32:42,120 --> 00:32:45,200 Speaker 1: funding was allocated to black founded startups in twenty twenty one. 641 00:32:45,680 --> 00:32:49,160 Speaker 1: That sounds like a lot. However, all of that interest 642 00:32:49,200 --> 00:32:53,880 Speaker 1: and excitement and commitment pretty much eroded very quickly, with 643 00:32:54,040 --> 00:32:57,840 Speaker 1: funding for black founded startups plunging fifty percent in twenty 644 00:32:57,880 --> 00:33:01,360 Speaker 1: twenty two. So remember this is all happening against the 645 00:33:01,440 --> 00:33:04,280 Speaker 1: pendulum kind of swinging back the other way where all 646 00:33:04,320 --> 00:33:07,480 Speaker 1: of these corporate diversity efforts became a political lightning rod, 647 00:33:07,800 --> 00:33:11,200 Speaker 1: and these employers just sort of backpedaled, right, And so 648 00:33:11,640 --> 00:33:13,320 Speaker 1: I think that that's where we're at now, where in 649 00:33:13,360 --> 00:33:16,360 Speaker 1: twenty twenty people talk to a lot of big games 650 00:33:16,400 --> 00:33:18,440 Speaker 1: about money they were going to give and funds they 651 00:33:18,440 --> 00:33:20,239 Speaker 1: were going to give, and how they were gonna, you know, 652 00:33:20,280 --> 00:33:24,480 Speaker 1: support inclusive people and startups and YadA, YadA, YadA, and 653 00:33:24,600 --> 00:33:27,040 Speaker 1: all of those promises just fizzled out, right, And I 654 00:33:27,040 --> 00:33:30,040 Speaker 1: think that we're sort of seeing I would argue, like 655 00:33:30,080 --> 00:33:34,680 Speaker 1: a backlash to that now, where diversity and inclusion staffers 656 00:33:34,720 --> 00:33:38,200 Speaker 1: are being let go. I think like recently Chick fil 657 00:33:38,240 --> 00:33:42,600 Speaker 1: A just like happened to have a diversity and inclusion 658 00:33:42,600 --> 00:33:45,160 Speaker 1: person on their staff, and like there was a flurry 659 00:33:45,160 --> 00:33:49,200 Speaker 1: of like online protests because of that, Like just having 660 00:33:49,360 --> 00:33:52,120 Speaker 1: somebody thinking about that on staff is now a lightning rod. 661 00:33:52,160 --> 00:33:55,840 Speaker 1: And so Obviously, in that kind of climate, these organizations 662 00:33:55,840 --> 00:33:59,720 Speaker 1: are not going to be funding black women even though 663 00:33:59,720 --> 00:34:01,800 Speaker 1: they canmitted to it. Even though it seemed like that 664 00:34:01,880 --> 00:34:03,960 Speaker 1: was there was a lot of excitement around that, Like Yeah, 665 00:34:04,000 --> 00:34:05,800 Speaker 1: I just think that we're in a completely different landscape 666 00:34:05,840 --> 00:34:06,840 Speaker 1: than we were in twenty twenty. 667 00:34:07,240 --> 00:34:09,879 Speaker 5: I mean, this is definitely that whole level of they 668 00:34:09,960 --> 00:34:12,879 Speaker 5: want good publicity, but they're not going to follow through. 669 00:34:12,880 --> 00:34:16,600 Speaker 5: It's the black square. Let me pretend like I care, 670 00:34:16,760 --> 00:34:19,879 Speaker 5: and at the very least I'll be like, hey, let's 671 00:34:19,880 --> 00:34:22,239 Speaker 5: tell the black people in the story like that's That's 672 00:34:22,360 --> 00:34:26,080 Speaker 5: as far as their their actual actions went was putting 673 00:34:26,160 --> 00:34:29,320 Speaker 5: something on Instagram that they obviously deleted soon after because 674 00:34:29,320 --> 00:34:32,000 Speaker 5: they wanted to look okay for one group of people. 675 00:34:32,200 --> 00:34:33,880 Speaker 5: And I found that interesting that people are mad at 676 00:34:33,920 --> 00:34:37,000 Speaker 5: Chick fil A because it's like they're anti LGBTQ plus. 677 00:34:37,120 --> 00:34:39,200 Speaker 5: So that's not enough for you. They need to be racist, 678 00:34:39,280 --> 00:34:41,960 Speaker 5: like all of these things in Lune enough for us 679 00:34:42,000 --> 00:34:44,920 Speaker 5: to support you. You better be super super racist and 680 00:34:45,040 --> 00:34:48,680 Speaker 5: super super homophobic in order for the conservatives. You can 681 00:34:48,800 --> 00:34:52,080 Speaker 5: hate everyone except for white as people. Yeah, if not, 682 00:34:52,520 --> 00:34:54,520 Speaker 5: we're not going to support you, even if your chicken 683 00:34:54,600 --> 00:34:55,080 Speaker 5: is okay. 684 00:34:55,200 --> 00:34:57,920 Speaker 1: So it and like this is a little like unrelated, 685 00:34:57,960 --> 00:35:01,160 Speaker 1: but like I think that with a lot of these people, 686 00:35:01,160 --> 00:35:02,640 Speaker 1: the Chick fil A example that you just gave is 687 00:35:02,680 --> 00:35:06,160 Speaker 1: a great example. A lot of these people like just 688 00:35:06,239 --> 00:35:09,640 Speaker 1: they'll find anything to be aggrieved about. Like you know, 689 00:35:09,760 --> 00:35:14,880 Speaker 1: I saw like Cracker Barrel was adding plant based sausage 690 00:35:14,920 --> 00:35:17,680 Speaker 1: to their menu, and people were like, plant based sausage. 691 00:35:18,040 --> 00:35:19,839 Speaker 1: I'm not gonna shop at Cracker Barrel and I'm never 692 00:35:19,880 --> 00:35:21,919 Speaker 1: gonna go to Cracker Barrel again. And it's like they're 693 00:35:21,960 --> 00:35:23,920 Speaker 1: not taking regular sausage off the menu. 694 00:35:24,080 --> 00:35:26,560 Speaker 2: You don't have to order it. 695 00:35:25,520 --> 00:35:27,719 Speaker 1: Just because they're putting food on the menu that like 696 00:35:27,800 --> 00:35:31,840 Speaker 1: someone else might like, that's not you, that's cause for upset. 697 00:35:32,560 --> 00:35:35,399 Speaker 1: And so another thing I wanted to say about your point, Sam, 698 00:35:35,520 --> 00:35:38,160 Speaker 1: is that there's a makeup company, Tart, they got in 699 00:35:38,320 --> 00:35:41,479 Speaker 1: hot Water earlier this year because they were doing these 700 00:35:41,600 --> 00:35:45,800 Speaker 1: brand trips that looked as if they were not being 701 00:35:45,840 --> 00:35:49,200 Speaker 1: inclusive of black influencers. That they were asking black influencers 702 00:35:49,239 --> 00:35:51,080 Speaker 1: like after the fact to come and like giving them 703 00:35:51,120 --> 00:35:54,880 Speaker 1: substandard accommodations and all of that, and somebody found that 704 00:35:54,920 --> 00:35:57,719 Speaker 1: in twenty twenty, you know, they when they posted their 705 00:35:57,760 --> 00:36:01,359 Speaker 1: black square, this company was like, we pledge that we're 706 00:36:01,360 --> 00:36:04,319 Speaker 1: going to be more inclusive and give more, do more 707 00:36:04,320 --> 00:36:07,520 Speaker 1: partnerships with black and brown models, and blah blah blah. 708 00:36:07,640 --> 00:36:10,960 Speaker 1: And then they quietly removed that from their website, but 709 00:36:11,040 --> 00:36:13,359 Speaker 1: somebody found it on the wayback machine. It was like, oh, 710 00:36:13,560 --> 00:36:17,600 Speaker 1: let's get update on all of these like very specific 711 00:36:17,600 --> 00:36:19,759 Speaker 1: commitments that you made. And it turns out that they 712 00:36:19,760 --> 00:36:22,160 Speaker 1: basically just like didn't do any of that stuff. But 713 00:36:22,200 --> 00:36:25,880 Speaker 1: the thing is, nobody put a gun to your head 714 00:36:25,960 --> 00:36:29,879 Speaker 1: and forced you to make these commitments. You made these 715 00:36:29,880 --> 00:36:33,520 Speaker 1: commitments and just to quietly be like mm just kidding, 716 00:36:33,719 --> 00:36:36,399 Speaker 1: Like that doesn't sit right with me, Like, nobody told 717 00:36:36,400 --> 00:36:38,080 Speaker 1: you to do this. Nobody told you to post a 718 00:36:38,080 --> 00:36:40,719 Speaker 1: black square. You did it, You volunteered to do it. 719 00:36:40,800 --> 00:36:45,120 Speaker 1: So when people expect a little follow through, that should 720 00:36:45,120 --> 00:36:46,600 Speaker 1: be that should be a given. 721 00:36:46,840 --> 00:36:51,080 Speaker 4: Yeah, And I I think about this a lot too. 722 00:36:51,960 --> 00:36:54,680 Speaker 4: We talked about this with a lot of the like 723 00:36:54,680 --> 00:36:56,759 Speaker 4: what happened with blud Light, what happened with Target, and 724 00:36:56,800 --> 00:36:59,400 Speaker 4: you know, then they just backtrack and make everyone angry. 725 00:36:59,400 --> 00:37:04,200 Speaker 4: But is I feel like there's a fundamental misunderstanding of 726 00:37:04,719 --> 00:37:07,080 Speaker 4: in this case, what it's like to be a transperson, 727 00:37:07,200 --> 00:37:08,920 Speaker 4: and then when they get like a little taste of 728 00:37:08,920 --> 00:37:13,400 Speaker 4: that the company, it's like, oh my god, oh never mind, 729 00:37:14,160 --> 00:37:18,360 Speaker 4: Like they can't even just for that one second, like 730 00:37:18,360 --> 00:37:22,520 Speaker 4: if they get this online hate that the cause, the person, 731 00:37:23,160 --> 00:37:26,680 Speaker 4: the community they're saying they support gets, they get it, 732 00:37:27,160 --> 00:37:29,759 Speaker 4: and then they're like, never mind, Actually, can they have 733 00:37:29,840 --> 00:37:33,799 Speaker 4: that privilege that rite, that ability to step out and 734 00:37:33,840 --> 00:37:37,400 Speaker 4: be like, Okay, I don't want to deal with this anymore, 735 00:37:38,000 --> 00:37:42,719 Speaker 4: which I think is just very telling of ignorance and 736 00:37:43,239 --> 00:37:45,879 Speaker 4: just like a oh, sure, let's do this, and then 737 00:37:45,880 --> 00:37:48,240 Speaker 4: they get that hate and they're like, oh, oh never mind. 738 00:37:48,719 --> 00:37:49,959 Speaker 2: Yeah. 739 00:37:50,120 --> 00:37:53,319 Speaker 1: Backtracking the Dylan mulvaney thing that you just mentioned, the 740 00:37:53,400 --> 00:37:57,920 Speaker 1: thing that I will never be over is that Dylan mulvany, 741 00:37:58,280 --> 00:38:02,120 Speaker 1: when she left social media at the height of all 742 00:38:02,160 --> 00:38:05,680 Speaker 1: of this and came back and made that video, said 743 00:38:05,719 --> 00:38:09,680 Speaker 1: that nobody at bud Light even called her to be like, hey, 744 00:38:09,680 --> 00:38:11,600 Speaker 1: are you all right? Like I'm seeing what's going on. 745 00:38:12,640 --> 00:38:15,120 Speaker 1: I that is something that will stick with me forever. 746 00:38:15,840 --> 00:38:20,319 Speaker 1: That this brand, because she said, happened to say yes 747 00:38:20,680 --> 00:38:23,640 Speaker 1: when asked to do a brand collaboration with bud Light. 748 00:38:24,239 --> 00:38:26,960 Speaker 1: She was had to go dark, had to probably go 749 00:38:27,000 --> 00:38:31,920 Speaker 1: into hiding, like was the target of very severe attacks, 750 00:38:32,400 --> 00:38:35,200 Speaker 1: and that bud Light, the company who came to her 751 00:38:35,520 --> 00:38:38,200 Speaker 1: to bring her into this, couldn't even follow up with 752 00:38:38,239 --> 00:38:40,879 Speaker 1: an email when they saw all of this happening, how 753 00:38:40,960 --> 00:38:42,439 Speaker 1: quickly they abandoned her. 754 00:38:42,880 --> 00:38:45,400 Speaker 2: And I feel like, if you are a brand or. 755 00:38:45,400 --> 00:38:49,359 Speaker 1: An institution who was working with marginalized people, if you're 756 00:38:49,360 --> 00:38:52,040 Speaker 1: not going to stand by them when this stuff kind 757 00:38:52,040 --> 00:38:55,640 Speaker 1: of stuff happens and when they get into situations that 758 00:38:55,719 --> 00:38:57,800 Speaker 1: really like you have put them in. But by offering 759 00:38:57,840 --> 00:39:01,000 Speaker 1: them this, you know, these partnerships, that's just not how 760 00:39:01,040 --> 00:39:02,839 Speaker 1: you engage people like that. 761 00:39:02,880 --> 00:39:03,760 Speaker 2: Like, at a certain point. 762 00:39:03,640 --> 00:39:07,120 Speaker 1: It's like I understand that bud Light is a corporation, 763 00:39:07,200 --> 00:39:09,919 Speaker 1: and I don't expect corporations to like care about any 764 00:39:09,920 --> 00:39:14,759 Speaker 1: of us, certainly not marginalized people. But the people who 765 00:39:14,880 --> 00:39:19,960 Speaker 1: run bud Lights marketing or INFLUENCERIR partnerships should really be 766 00:39:20,040 --> 00:39:21,879 Speaker 1: taking a good, hard look in the mirror, because that's 767 00:39:21,920 --> 00:39:24,640 Speaker 1: just like a failure of like how to be a 768 00:39:24,719 --> 00:39:25,640 Speaker 1: human to each other. 769 00:39:25,800 --> 00:39:28,319 Speaker 2: Like, I like that just sticks with me. 770 00:39:28,360 --> 00:39:30,400 Speaker 1: I could not believe that she said that that nobody 771 00:39:30,480 --> 00:39:32,319 Speaker 1: even ever reached out to her after they just like 772 00:39:32,440 --> 00:39:36,040 Speaker 1: dropped her and never ever followed up again. 773 00:39:36,800 --> 00:39:41,040 Speaker 4: Yeah, and that's going back to your point. You know, 774 00:39:41,080 --> 00:39:44,800 Speaker 4: companies are not big companies, especially not are not allies, 775 00:39:45,160 --> 00:39:47,160 Speaker 4: and we shouldn't think of them that way. 776 00:39:47,200 --> 00:39:47,760 Speaker 2: But they. 777 00:39:49,239 --> 00:39:52,279 Speaker 4: If they post to the black square, if they take 778 00:39:52,320 --> 00:39:54,640 Speaker 4: these stands, if they say they're going to do something, 779 00:39:55,440 --> 00:39:59,480 Speaker 4: then yeah, they should absolutely be held accountable. That's just 780 00:40:00,280 --> 00:40:03,239 Speaker 4: away and causing real harm. We were telling you a 781 00:40:03,320 --> 00:40:07,800 Speaker 4: story before we started this out of nowhere. Someone bought 782 00:40:07,800 --> 00:40:13,200 Speaker 4: that up and like making these things so politicized that 783 00:40:13,360 --> 00:40:17,840 Speaker 4: just to have a diversity inclusion person at your company 784 00:40:17,880 --> 00:40:22,919 Speaker 4: becomes oh well, then hate like all of this hate, 785 00:40:22,960 --> 00:40:27,359 Speaker 4: like you keep saying, it's irresponsible and it's not taking 786 00:40:27,400 --> 00:40:30,960 Speaker 4: into account like the reality of working with these groups. 787 00:40:31,080 --> 00:40:34,360 Speaker 2: Yeah. I think that's ultimately what these people want. 788 00:40:34,480 --> 00:40:37,840 Speaker 1: I think that they want just working with a trans 789 00:40:37,840 --> 00:40:42,360 Speaker 1: woman to be a lightning rod. She's not saying anything untoward, 790 00:40:42,719 --> 00:40:45,640 Speaker 1: she's not doing anything untoward, she just is because her 791 00:40:45,719 --> 00:40:47,160 Speaker 1: existence is a lightning rod. 792 00:40:47,440 --> 00:40:48,960 Speaker 2: Her existence is politicized. 793 00:40:49,239 --> 00:40:53,359 Speaker 1: I think just having a DEI person, just providing a 794 00:40:53,360 --> 00:40:56,640 Speaker 1: grant for black women, they want that to be toxic. 795 00:40:56,800 --> 00:40:58,719 Speaker 1: They want people to know that if you do that, 796 00:40:59,040 --> 00:41:02,120 Speaker 1: you might be in coren you might you know, be 797 00:41:02,719 --> 00:41:06,080 Speaker 1: targeted for a hate campaign. And so to just make 798 00:41:06,120 --> 00:41:09,239 Speaker 1: it not something that anybody would want to risk. And 799 00:41:09,320 --> 00:41:14,040 Speaker 1: these companies are so spineless that they're going along with it. 800 00:41:14,080 --> 00:41:16,359 Speaker 1: It is that they're being held hostage, and they're just like, okay, well, 801 00:41:16,400 --> 00:41:20,759 Speaker 1: they don't want us to have the chicken sausage. They 802 00:41:20,760 --> 00:41:23,359 Speaker 1: don't want anybody who doesn't eat sausage to be fed 803 00:41:23,400 --> 00:41:24,640 Speaker 1: at our restaurants. 804 00:41:24,160 --> 00:41:25,040 Speaker 2: So okay, we'll drop. 805 00:41:25,080 --> 00:41:28,000 Speaker 1: Actually, Cracker Barrel did stand by their sausage choices. 806 00:41:27,760 --> 00:41:28,319 Speaker 2: I will say that. 807 00:41:28,400 --> 00:41:32,480 Speaker 1: But yeah, it's like I have been surprised by how 808 00:41:32,520 --> 00:41:35,960 Speaker 1: these big, huge corporations just cowtow to people who are 809 00:41:36,560 --> 00:41:40,960 Speaker 1: not serious, people who are just interested in flexing. 810 00:41:40,480 --> 00:41:42,880 Speaker 2: Their power, their political power for no real reason. 811 00:41:43,320 --> 00:41:47,000 Speaker 5: I mean absolutely, we see all of these things actually 812 00:41:47,080 --> 00:41:50,640 Speaker 5: hurting people. They don't even want to be the face 813 00:41:50,680 --> 00:41:54,760 Speaker 5: of anything. They just want to exist. Funds like Fearless 814 00:41:54,760 --> 00:41:57,759 Speaker 5: fund is to exist and to help and lift up 815 00:41:57,920 --> 00:42:00,600 Speaker 5: people that they know need lifting up. The same thing 816 00:42:00,640 --> 00:42:03,560 Speaker 5: with Target when they had the small businesses, with the 817 00:42:03,680 --> 00:42:07,800 Speaker 5: LGBTQ queer content and then taking them off the shelf, 818 00:42:07,960 --> 00:42:11,320 Speaker 5: like we were just existing and feeling like we wanted 819 00:42:11,320 --> 00:42:13,840 Speaker 5: to be the representation that no one else is willing 820 00:42:13,880 --> 00:42:16,560 Speaker 5: to look at or see or stand behind. And you 821 00:42:16,840 --> 00:42:20,359 Speaker 5: literally came after them, taking away their money, taking away 822 00:42:20,360 --> 00:42:24,920 Speaker 5: their existence, causing harm because again the mulvany thing, she 823 00:42:25,200 --> 00:42:29,600 Speaker 5: was just holding a beer. She said, I like bud Light, simple, 824 00:42:29,760 --> 00:42:31,439 Speaker 5: why can't she choose to do that? And that ended 825 00:42:31,480 --> 00:42:33,800 Speaker 5: up being a thing of like, well, she is hurting 826 00:42:33,840 --> 00:42:36,319 Speaker 5: the beer industry and she is doing these things. No, 827 00:42:36,440 --> 00:42:41,239 Speaker 5: she's just existing with a product that they sent her. 828 00:42:41,480 --> 00:42:44,600 Speaker 5: They're not like giving her fifty percent of the shares. 829 00:42:44,239 --> 00:42:47,480 Speaker 3: Of bud Light. Like that's what is happening. Like this 830 00:42:47,640 --> 00:42:49,840 Speaker 3: whole level of like what people. 831 00:42:49,560 --> 00:42:51,520 Speaker 5: Are having to do and they're having to come back 832 00:42:51,520 --> 00:42:53,600 Speaker 5: and being like, instead of existing, we have to fight 833 00:42:53,680 --> 00:42:58,160 Speaker 5: for our place to exist, and that's such an absurd ideal, 834 00:42:58,320 --> 00:43:08,560 Speaker 5: like the fact that this has to be done. 835 00:43:10,680 --> 00:43:13,640 Speaker 1: So this is what Tony Morrison says about racism, and 836 00:43:13,680 --> 00:43:15,200 Speaker 1: I think it fits to all of what you're saying. 837 00:43:15,640 --> 00:43:18,960 Speaker 1: The function, the very serious function of racism is distraction. 838 00:43:19,320 --> 00:43:21,360 Speaker 1: It keeps you from doing your work, it keeps you 839 00:43:21,440 --> 00:43:24,600 Speaker 1: explaining over and over again your reason for being. Somebody 840 00:43:24,600 --> 00:43:26,640 Speaker 1: says you have no language, and you spend twenty years 841 00:43:26,680 --> 00:43:28,839 Speaker 1: trying to prove that you do. Somebody says your head 842 00:43:28,880 --> 00:43:31,400 Speaker 1: isn't shaped properly, so you have scientists working on the 843 00:43:31,400 --> 00:43:33,120 Speaker 1: fact that it is. Somebody says you have no art, 844 00:43:33,160 --> 00:43:35,640 Speaker 1: so you dredge that up. Somebody says you have no kingdom, 845 00:43:35,680 --> 00:43:37,920 Speaker 1: so you dredge that up. None of this is necessary. 846 00:43:38,000 --> 00:43:41,000 Speaker 1: There will always be one more thing. So, like that 847 00:43:41,360 --> 00:43:44,920 Speaker 1: quote really speaks to what I think is happening. You know, 848 00:43:44,960 --> 00:43:47,880 Speaker 1: the Fearless Fund, the stats that I just read about 849 00:43:47,920 --> 00:43:51,279 Speaker 1: black women entrepreneurs and how little of the funding we get. 850 00:43:51,800 --> 00:43:54,520 Speaker 1: It shows that the women who are running the Fearless Fund, 851 00:43:54,800 --> 00:43:56,040 Speaker 1: they have work to do. 852 00:43:56,120 --> 00:43:59,120 Speaker 2: They have serious work to do to right. 853 00:43:59,040 --> 00:44:02,000 Speaker 1: The wrong and to bake a little more equity into 854 00:44:02,040 --> 00:44:05,360 Speaker 1: the funding landscape. So they don't really have time to 855 00:44:05,440 --> 00:44:08,960 Speaker 1: play around with these legal challenges. But yet here they 856 00:44:08,960 --> 00:44:11,759 Speaker 1: are having to spend their money money that could go 857 00:44:11,960 --> 00:44:16,200 Speaker 1: to the funding landscape, staffing up a legal team, holding 858 00:44:16,239 --> 00:44:18,000 Speaker 1: press conferences, all of this. 859 00:44:18,360 --> 00:44:20,000 Speaker 2: It is such a distraction. 860 00:44:19,640 --> 00:44:22,880 Speaker 1: At a time when marginalized people have real work to 861 00:44:22,960 --> 00:44:23,560 Speaker 1: be doing. 862 00:44:23,800 --> 00:44:26,480 Speaker 2: Fearless fun is fighting back. They have a. 863 00:44:26,360 --> 00:44:31,960 Speaker 1: Beefy legal team including the NAACP Legal Defense Fund, Gibson Dunn, Crutcher, 864 00:44:31,960 --> 00:44:35,000 Speaker 1: and Ben Crump, the attorney who represented families of George 865 00:44:35,040 --> 00:44:38,040 Speaker 1: Floyd and Tyree Nichols in their civil suits over the 866 00:44:38,080 --> 00:44:40,400 Speaker 1: men's killing up the hands of the police. And I 867 00:44:40,440 --> 00:44:43,440 Speaker 1: feel confident like these women are like bad as women, 868 00:44:44,120 --> 00:44:45,479 Speaker 1: They are not going down without a fight. 869 00:44:46,040 --> 00:44:48,920 Speaker 2: But also they shouldn't have to write like they should 870 00:44:48,960 --> 00:44:49,560 Speaker 2: be able to. 871 00:44:49,600 --> 00:44:53,040 Speaker 1: Just do their work and focus on that work, and 872 00:44:53,080 --> 00:44:56,120 Speaker 1: they should not have to be spending their money on 873 00:44:56,200 --> 00:44:59,720 Speaker 1: these bogus legal challenges just because they want to exist, 874 00:44:59,800 --> 00:45:01,879 Speaker 1: just because they want to support other black women. 875 00:45:02,080 --> 00:45:05,239 Speaker 5: And I find that again we're in this situation that 876 00:45:05,520 --> 00:45:07,400 Speaker 5: black women are the ones that have to be the 877 00:45:07,400 --> 00:45:09,720 Speaker 5: ones to fight, like they don't want to, they're tired, 878 00:45:09,760 --> 00:45:12,120 Speaker 5: they've been doing this, and now we're back again because 879 00:45:12,200 --> 00:45:14,000 Speaker 5: we know there's a lot and I know there's a 880 00:45:14,040 --> 00:45:18,040 Speaker 5: lot of fun specifically to women, like point blank women, 881 00:45:18,280 --> 00:45:20,279 Speaker 5: and they surely didn't have to go after them. And 882 00:45:20,320 --> 00:45:22,160 Speaker 5: I bet they were denied some of those and they're 883 00:45:22,160 --> 00:45:25,600 Speaker 5: probably better at that. But yet if they didn't, that 884 00:45:25,719 --> 00:45:28,160 Speaker 5: seems silly and that seems very targeted. Yeah, so that's 885 00:45:28,280 --> 00:45:31,080 Speaker 5: very telling. Uh, but like it again, it has to 886 00:45:31,120 --> 00:45:32,960 Speaker 5: be the black women that has to put up this 887 00:45:33,000 --> 00:45:35,440 Speaker 5: fight in order to get anything done. 888 00:45:35,560 --> 00:45:37,680 Speaker 1: I mean tail as old as time, right, and I 889 00:45:37,719 --> 00:45:40,800 Speaker 1: think right. I'm worried about this for a couple of reasons. 890 00:45:40,880 --> 00:45:43,920 Speaker 1: One is that I think that if these grants and 891 00:45:43,960 --> 00:45:47,080 Speaker 1: funds that specifically are meant to boost black women entrepreneurs 892 00:45:47,200 --> 00:45:51,120 Speaker 1: are deemed unconstitutional, I really don't know what the landscape 893 00:45:51,160 --> 00:45:53,560 Speaker 1: is going to look like because, as I said, like already, 894 00:45:53,960 --> 00:45:56,160 Speaker 1: so little of that funding goes to us in. 895 00:45:56,080 --> 00:45:58,640 Speaker 2: The first place. But further, one of the reasons I. 896 00:45:58,680 --> 00:46:00,560 Speaker 1: Wanted to talk about it on the show today is 897 00:46:00,600 --> 00:46:03,720 Speaker 1: that I don't think it's getting near the same amount 898 00:46:03,719 --> 00:46:08,000 Speaker 1: of traction and attention that Blum's affirmative action challenges did. 899 00:46:08,440 --> 00:46:12,680 Speaker 1: And I really think that we need to see white 900 00:46:12,680 --> 00:46:17,720 Speaker 1: male and white women and really everybody in the startup space. 901 00:46:17,800 --> 00:46:21,080 Speaker 1: We need to see vcs and entrepreneurs speaking up about this, 902 00:46:21,160 --> 00:46:25,040 Speaker 1: because Blum is essentially arguing that the startup space should 903 00:46:25,080 --> 00:46:28,399 Speaker 1: basically just be for white people, and I think it's 904 00:46:28,480 --> 00:46:30,880 Speaker 1: up to everybody in the space to push back and 905 00:46:30,960 --> 00:46:33,000 Speaker 1: say like that is not the kind of funding space 906 00:46:33,000 --> 00:46:34,560 Speaker 1: that we want. That is not the kind of startup 907 00:46:34,600 --> 00:46:38,400 Speaker 1: space that we want. And to really make that really clear, 908 00:46:38,520 --> 00:46:40,400 Speaker 1: like what kind of a space do we want to 909 00:46:40,440 --> 00:46:42,840 Speaker 1: have for the next generation of entrepreneurs. We want to 910 00:46:42,880 --> 00:46:44,960 Speaker 1: tell them that the tiny little bit that they that 911 00:46:45,280 --> 00:46:47,720 Speaker 1: might go to them isn't even for them anymore. 912 00:46:47,719 --> 00:46:49,160 Speaker 2: I don't I don't think that's the space that. 913 00:46:49,120 --> 00:46:52,360 Speaker 5: We want right and absolutely in the same space again, 914 00:46:53,840 --> 00:46:56,440 Speaker 5: this is going to hurt white women as well and 915 00:46:56,480 --> 00:46:59,840 Speaker 5: the like. If we're saying that all of this is 916 00:46:59,840 --> 00:47:04,000 Speaker 5: to specific and it leads out other people of race, 917 00:47:04,040 --> 00:47:05,560 Speaker 5: it's gonna hrt gender as well. 918 00:47:05,600 --> 00:47:07,400 Speaker 3: So this is not even just for white people. It's 919 00:47:07,440 --> 00:47:08,200 Speaker 3: gonna be for white men. 920 00:47:08,400 --> 00:47:11,600 Speaker 5: We're gonna have more elon musks running running programs into 921 00:47:11,640 --> 00:47:12,000 Speaker 5: the ground. 922 00:47:12,080 --> 00:47:14,080 Speaker 3: That's what we're gonna been thousand percent. 923 00:47:14,280 --> 00:47:16,440 Speaker 1: And I mean kind of like what you were alluding 924 00:47:16,480 --> 00:47:21,399 Speaker 1: to before time and time again in tech, particularly when 925 00:47:21,520 --> 00:47:25,920 Speaker 1: black women challenge things or do things or start things, 926 00:47:26,239 --> 00:47:29,799 Speaker 1: they uplift all women. And so even if that specific 927 00:47:30,680 --> 00:47:34,839 Speaker 1: program is for black women owned businesses, you're gonna tell 928 00:47:34,880 --> 00:47:37,440 Speaker 1: me that a black woman who is financially supported is 929 00:47:37,440 --> 00:47:38,759 Speaker 1: not going to go on to do something that's going 930 00:47:38,800 --> 00:47:41,359 Speaker 1: to lift up all women and all marginalized people. Time 931 00:47:41,400 --> 00:47:42,880 Speaker 1: and time again we see that that's how it goes 932 00:47:42,960 --> 00:47:45,120 Speaker 1: with black women, and so yeah, I just think that 933 00:47:45,160 --> 00:47:47,080 Speaker 1: this is just this is me smacking that ice cream 934 00:47:47,120 --> 00:47:48,799 Speaker 1: out of my brother's hand when I could have gotten 935 00:47:48,800 --> 00:47:52,120 Speaker 1: a buy it instead. I really want to see more 936 00:47:52,280 --> 00:47:55,680 Speaker 1: folks in the space speaking up about this because what 937 00:47:55,719 --> 00:47:58,480 Speaker 1: the Fearless Fund has done has been really great, and 938 00:47:58,520 --> 00:48:02,720 Speaker 1: it's they're really like a good force in the space, 939 00:48:03,360 --> 00:48:05,640 Speaker 1: and I think the day we need them, frankly, we 940 00:48:05,680 --> 00:48:06,320 Speaker 1: need them. 941 00:48:06,719 --> 00:48:07,080 Speaker 3: We do. 942 00:48:07,160 --> 00:48:08,840 Speaker 5: And it's it's a drop in the bucket. Let's just 943 00:48:08,880 --> 00:48:12,600 Speaker 5: be real honest, like it's it's nothing in comparison to. 944 00:48:12,480 --> 00:48:14,359 Speaker 3: What other people get. 945 00:48:14,480 --> 00:48:16,959 Speaker 5: Essentially, it is like, wow, you really are going after 946 00:48:17,000 --> 00:48:19,600 Speaker 5: the little groups for nothing, just just to make a 947 00:48:19,600 --> 00:48:21,960 Speaker 5: point and obviously to keep that little bit, as you 948 00:48:21,960 --> 00:48:25,640 Speaker 5: are saying, in your pocket, instead of seeing what this is. 949 00:48:25,560 --> 00:48:30,680 Speaker 3: Actually could do for the entire humanity. Humanity is lost. 950 00:48:30,840 --> 00:48:34,840 Speaker 6: I'm sorry what Yeah, yeah, And I mean this is 951 00:48:34,960 --> 00:48:40,239 Speaker 6: very important too because obviously professional litigant blom here like 952 00:48:41,000 --> 00:48:44,040 Speaker 6: it's going to keep trying and if this succeeds, then 953 00:48:44,960 --> 00:48:48,799 Speaker 6: it's going to make things worse for everyone except for 954 00:48:48,920 --> 00:48:52,240 Speaker 6: certain people, and then easier for him to win. 955 00:48:52,400 --> 00:48:53,839 Speaker 2: The next thing and the next thing. 956 00:48:54,480 --> 00:48:57,160 Speaker 4: So yes, this is really really important, and thank you, 957 00:48:57,200 --> 00:48:59,680 Speaker 4: as always Bridget for bringing it to us. 958 00:49:00,000 --> 00:49:03,239 Speaker 1: Oh, thank you for having me. Everyone who is listening 959 00:49:03,280 --> 00:49:05,160 Speaker 1: should go out and buy stuff. I've never told you 960 00:49:05,200 --> 00:49:05,600 Speaker 1: the book. 961 00:49:05,719 --> 00:49:07,320 Speaker 2: I just bought it. Let's read it together. 962 00:49:08,800 --> 00:49:13,200 Speaker 4: Yes, yes, we're hoping to do a little crossover. We'll 963 00:49:13,200 --> 00:49:14,879 Speaker 4: get to go on your show. 964 00:49:16,239 --> 00:49:16,640 Speaker 3: Yes. 965 00:49:16,800 --> 00:49:20,640 Speaker 4: Oh I'm so excited. But in the meantime, Bridget, where 966 00:49:20,680 --> 00:49:22,000 Speaker 4: can the good listeners find you? 967 00:49:22,000 --> 00:49:24,160 Speaker 2: You can listen to my podcast. There are no girls 968 00:49:24,160 --> 00:49:24,720 Speaker 2: on the internet. 969 00:49:24,719 --> 00:49:27,080 Speaker 1: You can find me on Instagram at Bridget Marie and 970 00:49:27,120 --> 00:49:29,279 Speaker 1: DC or on Twitter at Bridget Marie. And you can 971 00:49:29,320 --> 00:49:31,560 Speaker 1: find me on TikTok at Bridget makes Podcasts. 972 00:49:31,880 --> 00:49:35,719 Speaker 4: Yes, and we really do. You appreciate your support with 973 00:49:35,760 --> 00:49:38,239 Speaker 4: the book. We love it so much. Thank you, Thank 974 00:49:38,280 --> 00:49:38,879 Speaker 4: you having you. 975 00:49:38,840 --> 00:49:39,800 Speaker 2: On as always. 976 00:49:40,719 --> 00:49:44,560 Speaker 4: Feeling is so mutual, So listeners, if you would like 977 00:49:44,600 --> 00:49:47,560 Speaker 4: to contact us, you can our emails Stephania mom Stuff 978 00:49:47,560 --> 00:49:49,640 Speaker 4: at iHeartMedia dot com. You can find us on Twitter 979 00:49:49,640 --> 00:49:51,600 Speaker 4: at mom Stuff podcast or on Instagram, at TikTok at 980 00:49:51,600 --> 00:49:53,800 Speaker 4: stuff I Never told you. We have a tea. 981 00:49:53,680 --> 00:49:56,040 Speaker 2: Public store and well yeah we have a book. We 982 00:49:56,080 --> 00:49:56,560 Speaker 2: can get it. 983 00:49:56,920 --> 00:49:59,680 Speaker 4: Stuff we should read books dot com. Thanks that's always 984 00:49:59,680 --> 00:50:02,759 Speaker 4: to our super producer Christina, executive producer Maya, and our 985 00:50:02,800 --> 00:50:03,600 Speaker 4: contributor Joey. 986 00:50:03,719 --> 00:50:04,600 Speaker 3: Thank you and. 987 00:50:04,680 --> 00:50:06,719 Speaker 4: Thanks to you for listening. Stefan Never Told You is 988 00:50:06,719 --> 00:50:07,640 Speaker 4: projection of iHeartRadio. 989 00:50:07,680 --> 00:50:08,799 Speaker 2: For a podcasts from my heart Radio. 990 00:50:08,840 --> 00:50:10,640 Speaker 4: You can check out the heart Radio app, Apple podcast 991 00:50:10,760 --> 00:50:12,280 Speaker 4: or if you listen to your favorite shows