1 00:00:04,160 --> 00:00:05,880 Speaker 1: There Are No Girls on the Internet. As a production 2 00:00:05,920 --> 00:00:13,600 Speaker 1: of iHeartRadio and Unbossed Creative, I'm bridgetad and this is 3 00:00:13,640 --> 00:00:18,880 Speaker 1: there Are No Girls on the Internet. Fearless Fund is 4 00:00:18,920 --> 00:00:22,120 Speaker 1: a black woman led venture capital firm that offers investment, 5 00:00:22,360 --> 00:00:26,840 Speaker 1: financial support, and mentorship to black women owned businesses. But 6 00:00:26,920 --> 00:00:30,480 Speaker 1: they're under attack for providing this support for traditionally marginalized 7 00:00:30,600 --> 00:00:34,440 Speaker 1: entrepreneurs because Edward Blum, the professional hangar at the heart 8 00:00:34,479 --> 00:00:37,760 Speaker 1: of the Supreme Court's legal challenge against affirmative Action, is 9 00:00:37,800 --> 00:00:41,040 Speaker 1: suing them for what he says is racial discrimination. Now, 10 00:00:41,080 --> 00:00:44,159 Speaker 1: this could set a precedent that completely changes the landscape 11 00:00:44,159 --> 00:00:47,400 Speaker 1: for entrepreneurs. And there are so many different podcasts and 12 00:00:47,560 --> 00:00:51,639 Speaker 1: influencers who talk about tech and startups and entrepreneurship. It's 13 00:00:51,680 --> 00:00:54,720 Speaker 1: a really credit spase. But if I'm being honest, I 14 00:00:54,800 --> 00:00:57,320 Speaker 1: haven't really seen a ton of folks talking about this 15 00:00:57,440 --> 00:01:01,680 Speaker 1: hugely important case. Everyone in entrepreneurship should be talking about this, 16 00:01:02,160 --> 00:01:05,000 Speaker 1: not just black women, all of us because it could 17 00:01:05,000 --> 00:01:08,640 Speaker 1: impact all of us. I joined my friends Samantha and 18 00:01:08,680 --> 00:01:11,440 Speaker 1: Annie at the podcast Stuff's Mom Never told you to 19 00:01:11,520 --> 00:01:14,280 Speaker 1: explain what I mean? And stay tuned because we'll be 20 00:01:14,319 --> 00:01:16,120 Speaker 1: hearing from some of the folks at the center of 21 00:01:16,160 --> 00:01:24,040 Speaker 1: this case. Later this season, the man who brought us 22 00:01:24,040 --> 00:01:27,080 Speaker 1: the legal challenge that struck down affirmative action earlier this 23 00:01:27,120 --> 00:01:30,440 Speaker 1: summer is back, and this time he is coming for 24 00:01:30,520 --> 00:01:34,640 Speaker 1: grants and the fellowships that support marginalized people. So you 25 00:01:34,720 --> 00:01:37,680 Speaker 1: all probably recall that earlier this summer, back in June, 26 00:01:37,959 --> 00:01:41,400 Speaker 1: the Supreme Court struck down affirmative action, ruling that race 27 00:01:41,640 --> 00:01:44,200 Speaker 1: can no longer play a part in college admissions. 28 00:01:44,560 --> 00:01:46,959 Speaker 2: Notably, the decision just applied to race. 29 00:01:47,240 --> 00:01:50,680 Speaker 1: It did not apply to gender or things like legacy 30 00:01:50,720 --> 00:01:55,560 Speaker 1: status or donor status being considered in the college admissions process. Separately, 31 00:01:55,680 --> 00:01:59,360 Speaker 1: some colleges, like Harvard have signaled that they might start 32 00:01:59,400 --> 00:02:02,720 Speaker 1: reexamining the role that things like legacy status plays in 33 00:02:02,760 --> 00:02:05,760 Speaker 1: college admissions in light of that Supreme Court ruling. 34 00:02:06,480 --> 00:02:07,320 Speaker 2: Do you all remember this? 35 00:02:07,400 --> 00:02:11,680 Speaker 1: I remember when the ruling was struck down, how big 36 00:02:11,840 --> 00:02:16,280 Speaker 1: it felt, especially being a big Supreme Court ruling. About 37 00:02:16,280 --> 00:02:19,520 Speaker 1: a year after the after row was struck down, it 38 00:02:19,560 --> 00:02:23,840 Speaker 1: felt like, you know, one big torrent of rain and 39 00:02:23,840 --> 00:02:25,240 Speaker 1: then another big torrent of rain. 40 00:02:25,400 --> 00:02:27,000 Speaker 2: To continue your metaphor. 41 00:02:26,600 --> 00:02:30,360 Speaker 3: Anie, Yes, good metaphor, nicely done. 42 00:02:30,720 --> 00:02:33,400 Speaker 4: Yes, Yeah, No, it definitely did, because that was at 43 00:02:33,440 --> 00:02:37,359 Speaker 4: the end of the Supreme Court session and there had 44 00:02:37,400 --> 00:02:42,240 Speaker 4: just been a lot of I mean, it turned out 45 00:02:42,240 --> 00:02:43,680 Speaker 4: to be true, but a lot of fear around like 46 00:02:43,680 --> 00:02:44,359 Speaker 4: what will they do? 47 00:02:44,840 --> 00:02:45,000 Speaker 1: Right? 48 00:02:45,000 --> 00:02:46,160 Speaker 2: It just made like all. 49 00:02:46,000 --> 00:02:48,639 Speaker 4: Of these decisions in one day. 50 00:02:48,760 --> 00:02:52,160 Speaker 3: In one day. Yeah, you know, it's odd because I 51 00:02:52,280 --> 00:02:55,880 Speaker 3: was absolutely alive, and I think, like talking about trying 52 00:02:55,919 --> 00:02:58,480 Speaker 3: to get into school and having this whole conversation when 53 00:02:58,520 --> 00:03:00,880 Speaker 3: I'm a firmative action was coming into debate to begin with, 54 00:03:01,360 --> 00:03:03,360 Speaker 3: and to see it like this, I'm not gonna lie. 55 00:03:03,400 --> 00:03:06,080 Speaker 3: I'm gonna be very transparent here as growing up in 56 00:03:06,120 --> 00:03:09,799 Speaker 3: a white household who are very conservative, not around any 57 00:03:09,800 --> 00:03:12,760 Speaker 3: marginalized groups outside of me who they rescued and put 58 00:03:12,800 --> 00:03:15,480 Speaker 3: that in air quotes out of like a marginalized a 59 00:03:15,639 --> 00:03:19,240 Speaker 3: bad situation. Seeing what they were saying was feded into 60 00:03:19,280 --> 00:03:21,640 Speaker 3: me and being like, yeah, I absolutely agree that I 61 00:03:21,639 --> 00:03:23,840 Speaker 3: should not get I don't want to be given a 62 00:03:23,880 --> 00:03:25,920 Speaker 3: special spot because of my race. I want to earn it. 63 00:03:26,120 --> 00:03:28,440 Speaker 3: Like I said that out loud to my family before 64 00:03:28,560 --> 00:03:32,120 Speaker 3: I started college, in any of that, not understanding what 65 00:03:32,160 --> 00:03:34,400 Speaker 3: it really was. And I truly believe my parents believe 66 00:03:34,440 --> 00:03:36,240 Speaker 3: that I don't think my siblings believe that because they're 67 00:03:36,280 --> 00:03:39,200 Speaker 3: they are educated and they'd understand. But I truly believe 68 00:03:39,240 --> 00:03:41,520 Speaker 3: that because that was what was fed into me. So 69 00:03:41,600 --> 00:03:45,480 Speaker 3: I have this real, like ugh itck feeling about this 70 00:03:45,600 --> 00:03:49,920 Speaker 3: whole action because the face of the suit was an 71 00:03:49,960 --> 00:03:53,080 Speaker 3: Asian man who was bitter, bitter little baby that I 72 00:03:53,600 --> 00:03:55,880 Speaker 3: feel like so many ways about it, and then coming 73 00:03:55,920 --> 00:03:59,680 Speaker 3: into college on my own and then understanding what it 74 00:03:59,720 --> 00:04:03,080 Speaker 3: truly was and realizing, oh, yeah, that stuff that I 75 00:04:03,120 --> 00:04:06,000 Speaker 3: spewed out as a kid was actual white supremacy coming 76 00:04:06,000 --> 00:04:08,360 Speaker 3: out of my mouth because I was trying to impress 77 00:04:08,400 --> 00:04:12,080 Speaker 3: my white family and being fed a bunch of lies. 78 00:04:12,400 --> 00:04:15,800 Speaker 3: So it was it felt like so gross to know 79 00:04:15,840 --> 00:04:19,440 Speaker 3: that I was manipulated like that at my young age, 80 00:04:19,520 --> 00:04:21,080 Speaker 3: at my young age. Also that I think, I don't 81 00:04:21,080 --> 00:04:22,279 Speaker 3: know how old this student is. I guess he was 82 00:04:22,279 --> 00:04:24,000 Speaker 3: trying to get into college, so I guess maybe around 83 00:04:24,040 --> 00:04:27,560 Speaker 3: the same time. And then coming into this now that 84 00:04:27,640 --> 00:04:30,440 Speaker 3: I'm like, oh my god, what have we done, essentially 85 00:04:30,600 --> 00:04:33,760 Speaker 3: like with allowing these types of lies to perpetuate and 86 00:04:33,800 --> 00:04:38,479 Speaker 3: not looking at the true statistics behind these actual numbers 87 00:04:38,480 --> 00:04:42,080 Speaker 3: and why affirmative action was and is necessary. But again, 88 00:04:42,160 --> 00:04:45,240 Speaker 3: because of that rhetoric being around, it wasn't surprising that 89 00:04:45,279 --> 00:04:47,800 Speaker 3: it was undone because it was truly hanging on by 90 00:04:47,839 --> 00:04:50,680 Speaker 3: a thread because of those types of lies. But yeah, 91 00:04:50,800 --> 00:04:55,680 Speaker 3: I have like this ache and like mourning in guilt, 92 00:04:55,880 --> 00:04:59,560 Speaker 3: guilt by association and guilt by like past actions that 93 00:04:59,600 --> 00:05:02,919 Speaker 3: I'm like, oh my god, what is this? Like part 94 00:05:02,960 --> 00:05:05,200 Speaker 3: of what I was spewing is part of the reason 95 00:05:05,240 --> 00:05:08,200 Speaker 3: this is undone. Of course, the bigger picture is again 96 00:05:08,560 --> 00:05:11,480 Speaker 3: white supremacists and their power that they wanted to play 97 00:05:11,560 --> 00:05:15,279 Speaker 3: and the overall arcing like who was doing the main 98 00:05:15,320 --> 00:05:18,239 Speaker 3: grab and trying to make sure that what marginalized people 99 00:05:18,240 --> 00:05:22,400 Speaker 3: stay down and stay unable to get to any of 100 00:05:22,440 --> 00:05:25,360 Speaker 3: these places because they do not have the connections essentially 101 00:05:25,480 --> 00:05:28,719 Speaker 3: just all connections, not even money anymore, but connections, And 102 00:05:28,760 --> 00:05:32,159 Speaker 3: it's just disgusting. So yeah, I have very strong feelings. 103 00:05:32,720 --> 00:05:35,280 Speaker 1: Yeah, I first of all, thank you for sharing that, 104 00:05:35,400 --> 00:05:38,080 Speaker 1: and I can kind of identify. 105 00:05:38,360 --> 00:05:39,520 Speaker 2: I know how you feel. 106 00:05:39,600 --> 00:05:41,479 Speaker 1: I don't think that you need to have guilt for 107 00:05:41,600 --> 00:05:45,240 Speaker 1: having felt that way, because, first of all, we live 108 00:05:45,320 --> 00:05:49,640 Speaker 1: in a society where it's so easy to pit marginalize 109 00:05:49,680 --> 00:05:53,560 Speaker 1: people against each other in service of upholding white supremacy, 110 00:05:53,640 --> 00:05:57,000 Speaker 1: like that is a tried and true method that bad 111 00:05:57,040 --> 00:06:00,719 Speaker 1: actors and people interested in upholding white supremacy engaged for 112 00:06:00,760 --> 00:06:02,680 Speaker 1: a very long time. And so the reason they do 113 00:06:02,720 --> 00:06:04,640 Speaker 1: it is because it's effective, and so it's not surprising 114 00:06:04,640 --> 00:06:07,520 Speaker 1: that it will be effective on you, a young person. Also, 115 00:06:07,839 --> 00:06:11,160 Speaker 1: the way that we talk about it, I think, just 116 00:06:11,200 --> 00:06:15,560 Speaker 1: does not set people up to have a full understanding 117 00:06:15,800 --> 00:06:19,000 Speaker 1: of the conversation. Right, So we talk so much about 118 00:06:19,000 --> 00:06:22,520 Speaker 1: affirmative action, and when we talk about affirmative action, usually 119 00:06:22,560 --> 00:06:25,240 Speaker 1: the face of affirmative action is a black person, right, 120 00:06:25,279 --> 00:06:27,560 Speaker 1: And so we're talking about like, oh, well, do you 121 00:06:27,600 --> 00:06:29,680 Speaker 1: think that black people should get a leg up in 122 00:06:29,760 --> 00:06:33,360 Speaker 1: admissions processes? Of course people are not gonna agree with that. 123 00:06:33,400 --> 00:06:35,599 Speaker 1: But the reality is is that that is a myth 124 00:06:35,640 --> 00:06:39,680 Speaker 1: because the Department of Labor shows that the primary beneficiaries 125 00:06:39,680 --> 00:06:42,440 Speaker 1: of affirmative action are actually white women. That is not 126 00:06:43,000 --> 00:06:44,920 Speaker 1: what the way that are, the way that we talk 127 00:06:44,920 --> 00:06:46,839 Speaker 1: about it would lead you to believe, right. And so 128 00:06:47,600 --> 00:06:51,359 Speaker 1: another idea is that when we talk about admissions, so 129 00:06:51,880 --> 00:06:54,080 Speaker 1: I would say this is just my opinion, but I 130 00:06:54,080 --> 00:06:59,800 Speaker 1: would say that there is an outsized space given to 131 00:06:59,839 --> 00:07:03,600 Speaker 1: conversations about affirmative action, which, as I said, are sort 132 00:07:03,600 --> 00:07:06,400 Speaker 1: of translated through like oh black people that go the 133 00:07:06,440 --> 00:07:09,600 Speaker 1: face of it, and so much less space given to 134 00:07:09,680 --> 00:07:13,280 Speaker 1: things like legacy status, which I think I had a 135 00:07:13,320 --> 00:07:17,000 Speaker 1: stat earlier, But it's some astronomical amount of kids in 136 00:07:17,040 --> 00:07:20,360 Speaker 1: college get there because they are their parents went to 137 00:07:20,400 --> 00:07:23,320 Speaker 1: that college, or their parents are donors to that college, 138 00:07:23,440 --> 00:07:27,440 Speaker 1: or some sort of a leg up. And essentially what 139 00:07:27,480 --> 00:07:30,240 Speaker 1: that is is like affirmative action for rich people. Yeah, 140 00:07:30,400 --> 00:07:33,000 Speaker 1: we don't even it's not even part of the conversation 141 00:07:33,240 --> 00:07:35,280 Speaker 1: and certainly has not been part of the conversation the 142 00:07:35,320 --> 00:07:37,920 Speaker 1: way that affirmative action has been. So I would argue that, like, 143 00:07:38,600 --> 00:07:43,239 Speaker 1: you were not given a clear picture of the issue 144 00:07:43,640 --> 00:07:46,240 Speaker 1: in order to be able to like thoughtfully come up 145 00:07:46,240 --> 00:07:48,400 Speaker 1: with a critique or an opinion about it, right, And 146 00:07:48,440 --> 00:07:50,520 Speaker 1: I think that that has to be by design. 147 00:07:50,480 --> 00:07:54,160 Speaker 3: Right absolutely. I think in the understanding, as you were saying, 148 00:07:54,280 --> 00:07:57,680 Speaker 3: is the rhetoric I was given was all anti black. 149 00:07:57,920 --> 00:08:00,080 Speaker 3: Like we're going to be very very specific and call 150 00:08:00,160 --> 00:08:02,920 Speaker 3: it what it was. It wasn't about anything else. It 151 00:08:02,960 --> 00:08:06,239 Speaker 3: wasn't about me being a minority or like being Asian 152 00:08:06,320 --> 00:08:09,920 Speaker 3: and a marginalized woman is literally they were trying to 153 00:08:09,920 --> 00:08:12,240 Speaker 3: be anti black. They were staying the quiet part out 154 00:08:12,280 --> 00:08:16,280 Speaker 3: loud because that's all they see. That's the big enemy 155 00:08:16,360 --> 00:08:20,080 Speaker 3: that is built up against white people, which is so 156 00:08:20,200 --> 00:08:23,800 Speaker 3: disgusting and it's very prevalent. Like that's the real understanding. 157 00:08:24,000 --> 00:08:26,640 Speaker 3: You need to have that whole fact and hold that 158 00:08:26,680 --> 00:08:30,680 Speaker 3: conversation is this is an anti black movement, and in 159 00:08:30,760 --> 00:08:35,600 Speaker 3: that it did not it did not actually help the 160 00:08:35,640 --> 00:08:38,000 Speaker 3: black community that much at all. It really did not 161 00:08:38,080 --> 00:08:41,320 Speaker 3: bring in, as you said, statistically black people into colleges. 162 00:08:41,360 --> 00:08:44,880 Speaker 3: It was again more white women, all white women essentially. 163 00:08:45,480 --> 00:08:47,599 Speaker 3: And then again the legacy people that those are the 164 00:08:47,640 --> 00:08:49,600 Speaker 3: people who are still remaining and going to colleges and 165 00:08:49,679 --> 00:08:52,920 Speaker 3: still getting scholarships to get into these colleges, and still 166 00:08:52,960 --> 00:08:56,360 Speaker 3: getting like loans at a reasonable interest rate, all of 167 00:08:56,360 --> 00:08:59,600 Speaker 3: those things. But for some reason, they built this boogeyman, 168 00:09:00,040 --> 00:09:02,199 Speaker 3: some reason we know why. But they've built a boogeyman 169 00:09:02,640 --> 00:09:05,760 Speaker 3: in order to make sure that they put down a 170 00:09:05,760 --> 00:09:08,280 Speaker 3: specific group of people because they're like, a, hey, this 171 00:09:08,320 --> 00:09:09,840 Speaker 3: is a battle we can win. We've always won with 172 00:09:09,880 --> 00:09:10,960 Speaker 3: this exactly, let's do this. 173 00:09:11,559 --> 00:09:14,520 Speaker 1: Anti blackness is always that is a train that it's 174 00:09:14,559 --> 00:09:17,400 Speaker 1: always on time. So what's interesting about what you just 175 00:09:17,440 --> 00:09:21,040 Speaker 1: said is that white women, despite being the biggest beneficiaries 176 00:09:21,040 --> 00:09:23,959 Speaker 1: of affirmative action, are also the most likely to be 177 00:09:24,160 --> 00:09:27,280 Speaker 1: against it. So, according to a twenty fourteen Cooperative Congressional 178 00:09:27,320 --> 00:09:30,320 Speaker 1: Election study, nearly seventy percent of the twenty thousand, six 179 00:09:30,400 --> 00:09:33,439 Speaker 1: hundred and ninety four self identified non Hispanic white women 180 00:09:33,480 --> 00:09:37,760 Speaker 1: surveyed either somewhat or strongly opposed affirmative action. Again, I 181 00:09:37,800 --> 00:09:41,800 Speaker 1: think it's like one of those situations where because the 182 00:09:41,800 --> 00:09:43,920 Speaker 1: way that it is framed is like, this is a 183 00:09:43,960 --> 00:09:46,559 Speaker 1: program that helps black people, and if you don't think 184 00:09:46,600 --> 00:09:48,880 Speaker 1: black people should be getting a leg up over you, 185 00:09:48,880 --> 00:09:51,040 Speaker 1: you should not be into it, you should be against it. 186 00:09:51,760 --> 00:09:56,040 Speaker 1: That rhetoric actually ends up hurting all marginalized people, whether 187 00:09:56,040 --> 00:09:58,079 Speaker 1: you're a white woman, because you know, like it's one 188 00:09:58,120 --> 00:10:03,400 Speaker 1: of those dynamics where the the anti blackness becomes a way. 189 00:10:03,360 --> 00:10:04,720 Speaker 2: To get people on board. 190 00:10:05,200 --> 00:10:08,960 Speaker 1: But then that is not an accurate reflection of who 191 00:10:09,000 --> 00:10:14,439 Speaker 1: the beneficiaries of programs like affirmative action actually end up being. Right, So, Annie, 192 00:10:14,520 --> 00:10:17,600 Speaker 1: you were saying how Asian Americans were kind of made 193 00:10:17,679 --> 00:10:21,920 Speaker 1: the face of the sort of victims of affirmative action, 194 00:10:22,040 --> 00:10:24,440 Speaker 1: and that is very much by design because of this 195 00:10:24,520 --> 00:10:28,320 Speaker 1: guy who is a conservative litigant named Edward Blum. I 196 00:10:28,559 --> 00:10:30,480 Speaker 1: call him a litigant because that's like kind of what 197 00:10:30,559 --> 00:10:33,720 Speaker 1: he is, like a professional lawsuit bringer. He is not 198 00:10:33,760 --> 00:10:37,640 Speaker 1: a lawyer himself, but he basically connects potential plaintiffs with 199 00:10:37,720 --> 00:10:40,559 Speaker 1: attorneys who are willing to represent them in test cases, 200 00:10:40,840 --> 00:10:43,600 Speaker 1: which he then uses to try to set legal presidents. 201 00:10:44,400 --> 00:10:47,880 Speaker 1: He is the founder and sole member of an organization 202 00:10:47,960 --> 00:10:50,280 Speaker 1: called Project on Fair Representation, which he found that in 203 00:10:50,320 --> 00:10:54,160 Speaker 1: two thousand and five, which focuses on voting, education, contracting, employment, 204 00:10:54,440 --> 00:10:58,520 Speaker 1: racial quotas, and racial reparations. Basically, his whole thing is 205 00:10:58,520 --> 00:11:01,800 Speaker 1: bringing legal challenges to strike down laws that I would 206 00:11:01,840 --> 00:11:05,600 Speaker 1: argue protect non white, non straight, non men. More on 207 00:11:05,640 --> 00:11:09,120 Speaker 1: this later. However, if you were to ask him, he 208 00:11:09,160 --> 00:11:11,160 Speaker 1: would probably say that it's not that he wants to 209 00:11:11,160 --> 00:11:15,000 Speaker 1: elevate like one race over anybody else, but that he 210 00:11:15,080 --> 00:11:18,839 Speaker 1: wants all laws and all like public considerations to be 211 00:11:19,320 --> 00:11:22,880 Speaker 1: race or identity neutral. He has described his ethos like 212 00:11:22,920 --> 00:11:26,640 Speaker 1: this quote, Our history has been tainted tragically by the 213 00:11:26,760 --> 00:11:30,400 Speaker 1: use of race and various public and private arenas race discrimination, 214 00:11:30,559 --> 00:11:33,200 Speaker 1: is odious, something the founding principles of the civil rights 215 00:11:33,200 --> 00:11:38,240 Speaker 1: movement were designed to eliminate. Personally, I would say that 216 00:11:38,360 --> 00:11:40,360 Speaker 1: I don't know if I buy what he is saying. 217 00:11:40,400 --> 00:11:43,320 Speaker 1: It seems like an awfully convenient way to justify the 218 00:11:43,320 --> 00:11:46,760 Speaker 1: fact that he keeps gutting laws that protect marginalized people. 219 00:11:47,000 --> 00:11:49,559 Speaker 1: But there you have it. That is what he says. 220 00:11:49,640 --> 00:11:51,920 Speaker 1: His motivation is. He just thinks that everything should be 221 00:11:52,160 --> 00:11:56,400 Speaker 1: race neutral, right. The Guardian describes him as quote a 222 00:11:56,480 --> 00:11:59,120 Speaker 1: human wrecking ball on a mission to destroy the landmark 223 00:11:59,120 --> 00:12:01,760 Speaker 1: achievements of the civil rights era and send the country 224 00:12:01,960 --> 00:12:04,320 Speaker 1: back to a dark age of discrimination and harassment of 225 00:12:04,360 --> 00:12:07,200 Speaker 1: minorities in the workplace and higher education and at the 226 00:12:07,240 --> 00:12:07,880 Speaker 1: ballot box. 227 00:12:08,800 --> 00:12:11,840 Speaker 3: Mm hmm, well, I mean this is the very basis 228 00:12:11,880 --> 00:12:15,600 Speaker 3: of hitting that level of if everything was fair from 229 00:12:15,640 --> 00:12:19,559 Speaker 3: the beginning, great great, if everything was equal and everybody 230 00:12:19,600 --> 00:12:23,400 Speaker 3: had same equity, that would be a beautiful utopia. But 231 00:12:23,520 --> 00:12:27,760 Speaker 3: as we know, this land, this country, most countries that 232 00:12:27,880 --> 00:12:32,320 Speaker 3: have been colonized, is not based on that level, and 233 00:12:32,360 --> 00:12:35,400 Speaker 3: that it has never been about equity, has always been 234 00:12:35,440 --> 00:12:38,160 Speaker 3: about who has power and those who have power. Really 235 00:12:38,280 --> 00:12:40,640 Speaker 3: was like, but I love that time that was a 236 00:12:40,679 --> 00:12:43,839 Speaker 3: great time. Bay we have that again, which is like, Hm, 237 00:12:44,160 --> 00:12:46,280 Speaker 3: you know, we know what you're really saying exactly. 238 00:12:58,080 --> 00:13:01,160 Speaker 1: The affirmative action ruling was not blumps rodeo. A legal 239 00:13:01,240 --> 00:13:03,320 Speaker 1: challenge that he brought was what led to the gutting 240 00:13:03,360 --> 00:13:05,960 Speaker 1: of the Voting Rights Act. That was the Shelby County 241 00:13:06,040 --> 00:13:09,320 Speaker 1: versus Holder case that he sponsored in twenty thirteen, and 242 00:13:09,360 --> 00:13:11,880 Speaker 1: it led to the Supreme Court overturning a key provision 243 00:13:11,880 --> 00:13:14,720 Speaker 1: in the nineteen sixty five Voting Rights Act. That legal 244 00:13:14,800 --> 00:13:17,720 Speaker 1: challenge is when we saw the introduction of things like 245 00:13:17,760 --> 00:13:21,240 Speaker 1: voter ID requirements, cutting back on early voting, eliminating same 246 00:13:21,320 --> 00:13:22,479 Speaker 1: day voter registration. 247 00:13:22,640 --> 00:13:24,240 Speaker 2: All of that was because of him. 248 00:13:24,280 --> 00:13:29,199 Speaker 1: So thank you Edward Blum for ushering that into our landscape. 249 00:13:29,559 --> 00:13:32,360 Speaker 3: He's really the villainy in all. 250 00:13:32,320 --> 00:13:35,000 Speaker 1: The story on my podcast there are no girls on 251 00:13:35,040 --> 00:13:36,720 Speaker 1: the Internet. We've referred to him a lot as just 252 00:13:36,760 --> 00:13:39,400 Speaker 1: like a professional hater, Like he's just someone who like 253 00:13:39,840 --> 00:13:41,400 Speaker 1: just like hate hate hay hate hate, like go. I 254 00:13:41,400 --> 00:13:44,480 Speaker 1: don't like that hate hate hate like professional hater. 255 00:13:45,120 --> 00:13:46,440 Speaker 3: Is he does? He is? He very rich. 256 00:13:47,160 --> 00:13:47,880 Speaker 2: I think he's. 257 00:13:47,800 --> 00:13:50,439 Speaker 1: Wealthy, Like I think I think that he I've actually 258 00:13:50,440 --> 00:13:52,559 Speaker 1: looked into him because I'm he's one of those figures 259 00:13:52,559 --> 00:13:58,520 Speaker 1: that I find so curious. He did not come from wealth, 260 00:13:58,520 --> 00:14:00,920 Speaker 1: but I think that he has wealth now and he's 261 00:14:00,960 --> 00:14:04,520 Speaker 1: just interested in using that wealth and influencing those connections 262 00:14:04,559 --> 00:14:08,520 Speaker 1: into creating these different legal precedents that I would say 263 00:14:09,320 --> 00:14:09,800 Speaker 1: harm us. 264 00:14:09,800 --> 00:14:13,280 Speaker 3: All right, he is that evil genius because we've seen 265 00:14:13,400 --> 00:14:15,960 Speaker 3: that in a lot of conservative think tanks as well 266 00:14:16,000 --> 00:14:20,680 Speaker 3: as essentially right wing groups that have been building up 267 00:14:21,080 --> 00:14:25,200 Speaker 3: the legal system to only help them, putting in those 268 00:14:25,240 --> 00:14:27,240 Speaker 3: in law school that they know that they can pull 269 00:14:27,320 --> 00:14:29,480 Speaker 3: back out, educating them and funding them to the full 270 00:14:29,720 --> 00:14:31,520 Speaker 3: in order to come back out and do these types 271 00:14:31,560 --> 00:14:34,640 Speaker 3: of cases, knowing that if they can do this, this 272 00:14:34,720 --> 00:14:36,280 Speaker 3: is going to be the basis of how they win. 273 00:14:37,080 --> 00:14:38,880 Speaker 2: Oh yes, did you guys? 274 00:14:39,000 --> 00:14:43,560 Speaker 1: Did you all see that docuseries on the Duggers on Hulu? 275 00:14:44,080 --> 00:14:45,240 Speaker 3: No? I couldn't get to their yet. 276 00:14:45,640 --> 00:14:50,680 Speaker 1: So that's the whole thing. It's a real like Jez 277 00:14:50,840 --> 00:14:51,720 Speaker 1: as you might imagine. 278 00:14:51,920 --> 00:14:52,200 Speaker 3: Sure. 279 00:14:52,440 --> 00:14:54,880 Speaker 1: One of the things they make very clear is that 280 00:14:55,760 --> 00:14:59,600 Speaker 1: it's not just about like this one problematic super religious 281 00:14:59,640 --> 00:15:00,600 Speaker 1: family on TV. 282 00:15:01,080 --> 00:15:03,360 Speaker 2: It is about this vast network. 283 00:15:02,960 --> 00:15:07,360 Speaker 1: Of young people who are being trained and educated and 284 00:15:07,520 --> 00:15:11,040 Speaker 1: ursoll are very well connected to reach the highest levels 285 00:15:11,120 --> 00:15:14,280 Speaker 1: of government and influence to make laws for all of us. 286 00:15:14,280 --> 00:15:18,479 Speaker 1: So it's not enough that like their kids are homeschooled 287 00:15:18,560 --> 00:15:21,400 Speaker 1: or that their kids live a certain way. They are 288 00:15:21,600 --> 00:15:25,480 Speaker 1: training the next generation of political operatives and lawmakers to 289 00:15:25,480 --> 00:15:27,440 Speaker 1: make sure that all of us and all of our 290 00:15:27,520 --> 00:15:30,720 Speaker 1: kids live the way that they think that they should 291 00:15:30,720 --> 00:15:35,040 Speaker 1: be living. So it's pretty, I guess some diabolical. 292 00:15:35,800 --> 00:15:37,080 Speaker 2: It's the word I would use. 293 00:15:37,880 --> 00:15:41,640 Speaker 1: You mentioned earlier, how when you were having conversations about college, 294 00:15:41,640 --> 00:15:44,920 Speaker 1: you remember watching the first wave of the affirmative action 295 00:15:45,000 --> 00:15:48,280 Speaker 1: legal challenge go down. And even if folks weren't following 296 00:15:48,480 --> 00:15:52,240 Speaker 1: affirmative action very closely, they might remember Blum's earlier attempt 297 00:15:52,320 --> 00:15:55,440 Speaker 1: to challenge it. So Blum had been working to challenge 298 00:15:55,480 --> 00:15:58,520 Speaker 1: affirmative action since twenty thirteen, when he worked with this woman, 299 00:15:58,720 --> 00:16:01,160 Speaker 1: Abigail Fisher, who was the daughter of a good friend 300 00:16:01,200 --> 00:16:02,720 Speaker 1: of his, who was a white woman. 301 00:16:03,440 --> 00:16:04,840 Speaker 2: She you might umber shid red hair. 302 00:16:05,440 --> 00:16:07,640 Speaker 1: She did not get into University of Texas because her 303 00:16:07,680 --> 00:16:11,440 Speaker 1: GPA was frankly mid. She sued the University of Texas 304 00:16:11,480 --> 00:16:14,000 Speaker 1: at Austin in two thousand and eight after it denied 305 00:16:14,040 --> 00:16:16,520 Speaker 1: her admission. She had a three point five to nine 306 00:16:16,640 --> 00:16:20,520 Speaker 1: GPA as a senior, which put her just below the 307 00:16:20,600 --> 00:16:24,200 Speaker 1: cutoff for a state law requiring UT to accept any 308 00:16:24,240 --> 00:16:27,200 Speaker 1: graduate in the top ten percent of their high school class, 309 00:16:27,200 --> 00:16:30,320 Speaker 1: so like mathematically speaking, she was not in the top 310 00:16:30,400 --> 00:16:32,680 Speaker 1: ten percent of her high school class. She felt that 311 00:16:32,720 --> 00:16:36,440 Speaker 1: she should have still gotten admission because of her extracurricular 312 00:16:36,480 --> 00:16:40,400 Speaker 1: activities combined with her GPA, and that she would have 313 00:16:40,440 --> 00:16:44,080 Speaker 1: gotten into UT if the university had not used race 314 00:16:44,160 --> 00:16:47,280 Speaker 1: as a factor in selecting its freshman class, which she 315 00:16:47,480 --> 00:16:50,520 Speaker 1: argued was a violation of the Fourteenth Amendment's Equal Protection Clause. 316 00:16:51,200 --> 00:16:52,760 Speaker 2: Do you all remember this? Like she was like a 317 00:16:52,920 --> 00:16:55,520 Speaker 2: very like memorable. 318 00:16:55,040 --> 00:16:58,360 Speaker 1: Figure, Like I feel like when when I hear about this, 319 00:16:58,400 --> 00:17:01,000 Speaker 1: I can to see this one image of her standing 320 00:17:01,000 --> 00:17:03,040 Speaker 1: at a podium outside of the Supreme Court, which is 321 00:17:03,080 --> 00:17:04,120 Speaker 1: like burned in my mind. 322 00:17:04,240 --> 00:17:07,439 Speaker 3: I do remember this because I remember thinking, this is 323 00:17:07,600 --> 00:17:11,440 Speaker 3: the dumbest argument I've ever seen, because I'm like, girl, 324 00:17:11,480 --> 00:17:14,560 Speaker 3: you didn't make it, Like even without a firmative action, 325 00:17:14,640 --> 00:17:16,680 Speaker 3: you wouldn't have. You wouldn't have made it. Do you 326 00:17:16,800 --> 00:17:19,480 Speaker 3: not understand how many people are struggling to get into 327 00:17:19,480 --> 00:17:22,560 Speaker 3: college today because a little more access has happened, not 328 00:17:22,640 --> 00:17:24,840 Speaker 3: just because of a firmative action, but like the lottery 329 00:17:25,000 --> 00:17:27,600 Speaker 3: and all of those things when we had more scholarships. 330 00:17:28,240 --> 00:17:29,879 Speaker 3: I was just like, why are people listening to her? 331 00:17:29,960 --> 00:17:31,520 Speaker 3: I think that was the biggest question in my head. 332 00:17:31,520 --> 00:17:33,439 Speaker 3: I was like, why are we paying attention to this? 333 00:17:33,600 --> 00:17:36,160 Speaker 3: Like she has no case, I think I thought. 334 00:17:36,960 --> 00:17:39,639 Speaker 4: I remember thinking like, is this an onion headbline? 335 00:17:40,359 --> 00:17:41,840 Speaker 1: Like she did. 336 00:17:43,320 --> 00:17:46,280 Speaker 2: The grades are bad and now she's I. 337 00:17:46,240 --> 00:17:48,359 Speaker 3: Think that was the beginning of like, oh, this is 338 00:17:48,400 --> 00:17:51,520 Speaker 3: a Becky Sorry, Becky's in the world. That's really just 339 00:17:51,520 --> 00:17:53,439 Speaker 3: whining because she couldn't get her away like that. I 340 00:17:53,520 --> 00:17:55,880 Speaker 3: remember like that was the beginning of that of like, oh, 341 00:17:56,119 --> 00:17:59,280 Speaker 3: sorority girl was again no no, no hate to sorority people. 342 00:17:59,280 --> 00:18:01,880 Speaker 3: I'm so sorry. So you know that level like stereotype 343 00:18:01,960 --> 00:18:03,919 Speaker 3: in that my daddy said that I could get in 344 00:18:03,960 --> 00:18:04,679 Speaker 3: and now I'm not in. 345 00:18:04,800 --> 00:18:08,840 Speaker 1: Why So the way that y'all are reacting is exactly 346 00:18:08,880 --> 00:18:12,760 Speaker 1: how I'm This is validating because I remember her being 347 00:18:12,840 --> 00:18:15,760 Speaker 1: treated like kind of a joke, like her GP was 348 00:18:15,800 --> 00:18:18,520 Speaker 1: like fine, but certainly at three point a lot higher 349 00:18:18,520 --> 00:18:20,040 Speaker 1: than my GPA was when I was in high school, 350 00:18:20,080 --> 00:18:23,240 Speaker 1: so like, I'll own that, but like you know, it's 351 00:18:23,280 --> 00:18:25,840 Speaker 1: not three point five nine is not an automatic entrance 352 00:18:25,840 --> 00:18:27,280 Speaker 1: to wherever you want to go to college. It's like 353 00:18:27,280 --> 00:18:28,120 Speaker 1: a fine gpa. 354 00:18:28,440 --> 00:18:31,159 Speaker 2: And so I remember people calling her becky with the 355 00:18:31,160 --> 00:18:34,360 Speaker 2: bad grades, and the vibe around her. 356 00:18:34,400 --> 00:18:36,840 Speaker 1: Was like she was just salty that she didn't get in, 357 00:18:37,200 --> 00:18:40,159 Speaker 1: and so she was like blaming black people. And so 358 00:18:40,200 --> 00:18:44,119 Speaker 1: obviously she was not a very I guess, sympathetic legal 359 00:18:44,200 --> 00:18:45,760 Speaker 1: challenge to affirmative action. 360 00:18:46,560 --> 00:18:49,440 Speaker 2: So obviously Abigail's legal challenge did not work. 361 00:18:49,480 --> 00:18:53,240 Speaker 1: So Bum regrouped and made the strategic choice to make 362 00:18:53,320 --> 00:18:55,800 Speaker 1: the face of affirmative action or the people being harmed 363 00:18:55,800 --> 00:18:59,080 Speaker 1: by affirmative action, according to him, Asian Americans. According to 364 00:18:59,160 --> 00:19:01,800 Speaker 1: an NPR article he told a gathering of the Houston 365 00:19:01,880 --> 00:19:05,240 Speaker 1: Chinese Alliance in twenty fifteen, quote I needed plaintiffs. 366 00:19:05,359 --> 00:19:06,919 Speaker 2: I needed Asian plaintiffs. 367 00:19:07,520 --> 00:19:10,640 Speaker 1: MPR spoke to Hannay Lopez, a race and constitutional law 368 00:19:10,680 --> 00:19:14,240 Speaker 1: scholar at Berkeley, who described this as a deliberate switch 369 00:19:14,320 --> 00:19:18,080 Speaker 1: in strategy, and that the argument was no longer centered 370 00:19:18,119 --> 00:19:21,640 Speaker 1: on how affirmative action impacts white people. Instead, quote, there's 371 00:19:21,680 --> 00:19:24,359 Speaker 1: this move to strengthen the surface argument that this is 372 00:19:24,480 --> 00:19:25,840 Speaker 1: racism against minorities. 373 00:19:25,920 --> 00:19:27,240 Speaker 2: I think it's part of the appeal. 374 00:19:27,320 --> 00:19:30,880 Speaker 1: And so I've read like Asian American activists and advocates 375 00:19:30,880 --> 00:19:34,560 Speaker 1: saying that, like what he was doing was this intentional 376 00:19:34,960 --> 00:19:39,080 Speaker 1: shift to make Asian Americans like a proxy stand in 377 00:19:39,480 --> 00:19:42,639 Speaker 1: for white people to be like, oh no, like this 378 00:19:42,720 --> 00:19:46,439 Speaker 1: can't be about racial animis because I am trying to 379 00:19:46,800 --> 00:19:49,959 Speaker 1: advocate for Asian Americans. And again, I think it's a 380 00:19:49,960 --> 00:19:53,919 Speaker 1: really great example of how effective a strategy it is 381 00:19:53,960 --> 00:19:57,359 Speaker 1: to pit marginalized groups against one another in service of 382 00:19:57,400 --> 00:20:02,280 Speaker 1: white supremacy. Because in the and it's not like I think, 383 00:20:02,320 --> 00:20:06,000 Speaker 1: since affirmative action has been struck down, we've already seen 384 00:20:06,600 --> 00:20:09,040 Speaker 1: data trickle in that wasn't that long ago, but already 385 00:20:09,040 --> 00:20:11,800 Speaker 1: we've seen data trickle in that suggests that, like, yeah, 386 00:20:11,840 --> 00:20:16,120 Speaker 1: it's it's white people with connections. It's white legacy students 387 00:20:16,320 --> 00:20:21,040 Speaker 1: who are continuing to get more slots in admissions. It's 388 00:20:21,080 --> 00:20:24,280 Speaker 1: not you know, it's certainly not helping the Asian Americans 389 00:20:24,600 --> 00:20:27,680 Speaker 1: who were who brought this challenge. It's actually just opening 390 00:20:27,800 --> 00:20:31,360 Speaker 1: up more slots for more rich white people, because that's 391 00:20:31,359 --> 00:20:33,600 Speaker 1: how college works in the United States. 392 00:20:33,600 --> 00:20:36,200 Speaker 3: Right, And of course this play is being used by 393 00:20:37,440 --> 00:20:42,720 Speaker 3: other places such as Florida doing the Asian American history 394 00:20:43,200 --> 00:20:46,359 Speaker 3: in set but blacklisting African American history. And we know 395 00:20:46,400 --> 00:20:49,280 Speaker 3: what that play is that that's the same type of narrative. 396 00:20:49,280 --> 00:20:51,520 Speaker 3: They're like, Oh, this is working, let's try this, let's 397 00:20:51,600 --> 00:20:53,040 Speaker 3: keep this going exactly. 398 00:20:53,560 --> 00:20:56,679 Speaker 1: So, I really wanted to talk about So, after on 399 00:20:56,720 --> 00:21:00,239 Speaker 1: the heels of successfully getting the Supreme Court destry down 400 00:21:00,240 --> 00:21:02,760 Speaker 1: Afirmative Action, what is Blum's next move? 401 00:21:02,920 --> 00:21:05,760 Speaker 2: Well, he is back after gutting affirmative Action. 402 00:21:05,960 --> 00:21:09,000 Speaker 1: His next move is going after fellowships and grant programs 403 00:21:09,000 --> 00:21:12,560 Speaker 1: that support marginalized people. He is suing two corporate law 404 00:21:12,560 --> 00:21:15,159 Speaker 1: firms on the grounds that they're fellowship programs that are 405 00:21:15,200 --> 00:21:18,800 Speaker 1: aimed at students of color, those who identify as LGBTQ plus, 406 00:21:19,040 --> 00:21:22,600 Speaker 1: and students with disabilities, exclude applicants based on race, and 407 00:21:22,680 --> 00:21:26,600 Speaker 1: he is demanding that those programs be shut down. He 408 00:21:26,760 --> 00:21:30,040 Speaker 1: is also suing a black venture capital firm called the 409 00:21:30,080 --> 00:21:30,840 Speaker 1: Fearless Fund. 410 00:21:30,880 --> 00:21:33,200 Speaker 2: So this is kind of the meat of why I. 411 00:21:33,160 --> 00:21:36,199 Speaker 1: Wanted to bring this conversation to the table today, because 412 00:21:36,720 --> 00:21:40,000 Speaker 1: he is alleging that the Fearless Fund is practicing unlawful 413 00:21:40,160 --> 00:21:43,879 Speaker 1: racial discrimination. Blum claims the Fearless Fund is engaged in 414 00:21:43,960 --> 00:21:48,440 Speaker 1: explicit racial exclusion by operating a grant program quote only 415 00:21:48,520 --> 00:21:51,919 Speaker 1: open to black females. According to The Washington Post, the 416 00:21:52,000 --> 00:21:54,640 Speaker 1: lawsuit is asked to prevent the fund from selecting its 417 00:21:54,640 --> 00:21:56,760 Speaker 1: next round of grant winners. The claim states that the 418 00:21:56,760 --> 00:21:59,520 Speaker 1: firm is quote violating Section nineteen eighty one of the 419 00:21:59,520 --> 00:22:02,240 Speaker 1: Civil Rights Act of eighteen sixty six, a US law 420 00:22:02,240 --> 00:22:05,920 Speaker 1: barring racial bias in private contracts, by making only black 421 00:22:05,920 --> 00:22:10,199 Speaker 1: women eligible in the grant competition. So yeah, he's just 422 00:22:10,280 --> 00:22:15,919 Speaker 1: like coming after anything that he sees as supporting. 423 00:22:16,480 --> 00:22:19,800 Speaker 2: Non white people. The Fearless fun was launched. 424 00:22:19,480 --> 00:22:22,600 Speaker 1: In twenty nineteen by three prominent black women, Keisha Knight 425 00:22:22,640 --> 00:22:25,199 Speaker 1: Pullman who you might remember as Rudy Huxtable on The 426 00:22:25,200 --> 00:22:30,720 Speaker 1: Cosby Show, entrepreneur arian Simone, and corporate executive Ayana Parsons. 427 00:22:31,119 --> 00:22:33,840 Speaker 1: They have a strong and impressive list of investors like 428 00:22:33,880 --> 00:22:38,280 Speaker 1: Bank of America, Costco, General Mills, MasterCard, JP Morgan. They've 429 00:22:38,320 --> 00:22:40,720 Speaker 1: invested in over forty businesses in the past four years, 430 00:22:40,720 --> 00:22:44,080 Speaker 1: including Atlanta favorite The Slutty Vegan have y'all eaten there? 431 00:22:44,320 --> 00:22:47,440 Speaker 3: Oh yeah, it was near my house that I lived. 432 00:22:47,560 --> 00:22:50,840 Speaker 4: Yeah, Samantha was smart and went during the Super Bowl, 433 00:22:51,160 --> 00:22:52,920 Speaker 4: so there was no one there. 434 00:22:53,480 --> 00:22:57,080 Speaker 3: So they are. They stay open till two am, and 435 00:22:57,160 --> 00:22:59,480 Speaker 3: so when the Super Bowl lots because it's always packed out. 436 00:23:00,040 --> 00:23:03,320 Speaker 3: And what we went at it still took forever. They 437 00:23:03,359 --> 00:23:06,359 Speaker 3: make good food. It takes a while, but yeah, we would. 438 00:23:06,800 --> 00:23:08,879 Speaker 3: I think it only been once though it is. I 439 00:23:08,880 --> 00:23:09,800 Speaker 3: don't stand in lines. 440 00:23:10,960 --> 00:23:12,560 Speaker 4: It was a long line. I've never been. 441 00:23:12,640 --> 00:23:17,480 Speaker 3: But and she has expanded that business everywhere, especially in 442 00:23:17,560 --> 00:23:20,560 Speaker 3: Atlanta and then Georgia. So good on her and owes 443 00:23:20,600 --> 00:23:21,680 Speaker 3: a lot of property. 444 00:23:21,920 --> 00:23:24,399 Speaker 1: That wouldn't be possible without the Fearless Fund. And so 445 00:23:25,480 --> 00:23:28,840 Speaker 1: the lawsuit that Blum is bringing centers on the Fearless 446 00:23:28,840 --> 00:23:32,400 Speaker 1: Funds Fearless Strivers Grant Contest, which awards Black women who 447 00:23:32,400 --> 00:23:35,399 Speaker 1: own small businesses twenty thousand dollars in grants and digital 448 00:23:35,400 --> 00:23:39,160 Speaker 1: tools to help them grow their businesses and mentorship opportunities. 449 00:23:39,640 --> 00:23:43,960 Speaker 1: So interestingly enough, Blahma did not seek out the Fearless 450 00:23:44,000 --> 00:23:46,400 Speaker 1: Fund to sue, but rather, he says that a non 451 00:23:46,520 --> 00:23:49,159 Speaker 1: black woman who runs a business reached out to him 452 00:23:49,240 --> 00:23:53,040 Speaker 1: via email and flagged like did you know that these 453 00:23:53,080 --> 00:23:55,600 Speaker 1: black women are running a grant program that I can't 454 00:23:55,640 --> 00:23:58,679 Speaker 1: be part of? And so the Washington Post reports, but 455 00:23:58,760 --> 00:24:01,959 Speaker 1: the lawsuit sites three female business owners, one from New 456 00:24:02,040 --> 00:24:04,600 Speaker 1: York and two from Virginia who argued that they could 457 00:24:04,600 --> 00:24:07,679 Speaker 1: have benefited from the Fearless Funds grant program, but they 458 00:24:07,680 --> 00:24:12,040 Speaker 1: were ineligible because they are not black. So yeah, these 459 00:24:12,080 --> 00:24:17,399 Speaker 1: non black women basically just felt like they should be 460 00:24:17,760 --> 00:24:21,439 Speaker 1: entitled to this grant program that black women established for 461 00:24:21,520 --> 00:24:23,480 Speaker 1: themselves to support black women. 462 00:24:23,640 --> 00:24:26,480 Speaker 2: They were like, we should have a piece of that. 463 00:24:26,480 --> 00:24:29,320 Speaker 3: That's such an interesting take because I'm like, well, you 464 00:24:29,400 --> 00:24:34,040 Speaker 3: also didn't get it from every other business grant ever, 465 00:24:34,520 --> 00:24:37,600 Speaker 3: So why are you choosing this like you want did 466 00:24:37,640 --> 00:24:40,760 Speaker 3: you try for it? This just seems like a lazy 467 00:24:40,760 --> 00:24:43,040 Speaker 3: part of like I want this one thing, I couldn't 468 00:24:43,040 --> 00:24:43,640 Speaker 3: get it. I quit. 469 00:24:43,640 --> 00:24:48,920 Speaker 1: They're biased, Like yeah, I mean this is just my opinion, 470 00:24:49,080 --> 00:24:53,040 Speaker 1: and but like it's so hard to not see this 471 00:24:53,119 --> 00:24:56,240 Speaker 1: as like just hater vibes, like everything has to be 472 00:24:56,320 --> 00:24:58,080 Speaker 1: for you, and if it's not for you, you have 473 00:24:58,160 --> 00:25:02,520 Speaker 1: to shut it down. Think it goes back to what 474 00:25:02,560 --> 00:25:05,360 Speaker 1: we were saying earlier about the women who benefit from 475 00:25:05,359 --> 00:25:08,560 Speaker 1: affirmative action are also the ones who are the most 476 00:25:08,600 --> 00:25:13,120 Speaker 1: likely to be against it. I firmly believe that there 477 00:25:13,359 --> 00:25:16,520 Speaker 1: is enough out there for all of us. And I'm 478 00:25:16,520 --> 00:25:20,440 Speaker 1: an entrepreneur, right, so I know how hard the funding 479 00:25:20,480 --> 00:25:25,000 Speaker 1: spaces for women, all women, but I know how hard 480 00:25:25,040 --> 00:25:27,320 Speaker 1: it is for Black women, in particular as a black woman. 481 00:25:27,359 --> 00:25:28,920 Speaker 1: We'll get into some of the stats in just a moment, 482 00:25:29,000 --> 00:25:33,760 Speaker 1: but I believe that despite that, there is enough for everyone. 483 00:25:33,880 --> 00:25:36,600 Speaker 1: Everyone will find their lane, everyone will find their people, 484 00:25:36,640 --> 00:25:38,960 Speaker 1: everyone will find what they need to make what they 485 00:25:38,960 --> 00:25:42,760 Speaker 1: want happen. I believe that as like a meditation that 486 00:25:42,880 --> 00:25:47,000 Speaker 1: keeps me in this work and keeps me being an entrepreneur. 487 00:25:47,440 --> 00:25:50,720 Speaker 2: But I feel like the dynamic. 488 00:25:50,200 --> 00:25:53,800 Speaker 1: That says that women need to be pit against each other, 489 00:25:53,920 --> 00:25:56,160 Speaker 1: that if you're a white woman, you need to be 490 00:25:57,000 --> 00:25:59,400 Speaker 1: trying to shut down a grant that is for black women, 491 00:26:00,119 --> 00:26:03,479 Speaker 1: dynamic that helps anybody, right, And so I think that 492 00:26:03,520 --> 00:26:05,680 Speaker 1: we all have our place, we all have our niche 493 00:26:05,760 --> 00:26:08,159 Speaker 1: us enough for all of us. But that dynamic that 494 00:26:08,200 --> 00:26:11,440 Speaker 1: we are enemies only serve that does not serve anybody. 495 00:26:11,440 --> 00:26:13,680 Speaker 1: It doesn't serve me, it doesn't serve it, It ultimately won't 496 00:26:13,680 --> 00:26:14,560 Speaker 1: serve them as either. 497 00:26:14,640 --> 00:26:16,920 Speaker 2: It just keeps us pit against. 498 00:26:16,560 --> 00:26:19,479 Speaker 1: Each other as opposed to these larger systems that are 499 00:26:19,520 --> 00:26:20,800 Speaker 1: actually holding us all down. 500 00:26:21,000 --> 00:26:23,359 Speaker 3: It's such a mind play that they have to people 501 00:26:23,400 --> 00:26:25,320 Speaker 3: have to go through to be like, Okay, I can't 502 00:26:25,359 --> 00:26:27,479 Speaker 3: get this one thing because they say I can't have it, 503 00:26:27,520 --> 00:26:29,440 Speaker 3: so that means no one should have it because I'm 504 00:26:29,440 --> 00:26:32,200 Speaker 3: gonna be miserable, and so are you. Misery lift company. 505 00:26:32,240 --> 00:26:34,760 Speaker 3: We're gonna keep this mentality going and then also not 506 00:26:34,880 --> 00:26:38,080 Speaker 3: look at the like here's the small thing versus the 507 00:26:38,200 --> 00:26:40,800 Speaker 3: giant amount of stuff that you also can't get because 508 00:26:40,840 --> 00:26:43,959 Speaker 3: you're not a rich white man, but you don't care 509 00:26:44,000 --> 00:26:46,240 Speaker 3: about that thing, Like that's the one thing that's a 510 00:26:46,320 --> 00:26:49,120 Speaker 3: little bit more accessible to tear someone down who other 511 00:26:49,160 --> 00:26:51,240 Speaker 3: people will help you tear down with, instead of this 512 00:26:51,320 --> 00:26:54,080 Speaker 3: big giant amount of cash that's just sitting here for 513 00:26:54,160 --> 00:26:56,000 Speaker 3: the white man. Like it's just is I said for 514 00:26:56,000 --> 00:26:59,000 Speaker 3: the white man, like I'm a native but like, but 515 00:26:59,119 --> 00:27:02,080 Speaker 3: you know, does like mind level, like how much you're 516 00:27:02,119 --> 00:27:05,760 Speaker 3: willing to ignore to be like, Okay, I'm at the bottom. 517 00:27:06,080 --> 00:27:08,000 Speaker 3: Who can I make lesser than me? Who can I 518 00:27:08,000 --> 00:27:10,120 Speaker 3: push down further than me? So at the very least, 519 00:27:10,160 --> 00:27:11,919 Speaker 3: I'm not at the very bottom. Oh my god, that's 520 00:27:11,960 --> 00:27:13,080 Speaker 3: just such a mind trick. 521 00:27:13,480 --> 00:27:15,320 Speaker 1: This reminds me of when I was a little kid 522 00:27:15,400 --> 00:27:18,440 Speaker 1: and my brother had this like free coupon for an 523 00:27:18,440 --> 00:27:20,919 Speaker 1: ice cream from McDonald's that he got from school. 524 00:27:20,960 --> 00:27:23,679 Speaker 2: So he went to McDonald's together and he got one. 525 00:27:23,560 --> 00:27:24,960 Speaker 1: Ice cream, and I didn't have any money because we 526 00:27:25,000 --> 00:27:27,440 Speaker 1: were little kids, and so they gave him his ice cream, 527 00:27:27,440 --> 00:27:29,359 Speaker 1: and I got very jealous, and so I smacked it 528 00:27:29,400 --> 00:27:30,960 Speaker 1: out of his hand on to the ground, and he 529 00:27:31,040 --> 00:27:34,119 Speaker 1: was like, I was gonna give you a BikeE so like, 530 00:27:34,440 --> 00:27:36,080 Speaker 1: because I was like, I don't want him to get 531 00:27:36,080 --> 00:27:37,240 Speaker 1: something that I can't have. 532 00:27:37,920 --> 00:27:39,200 Speaker 2: It really got a flattering story. 533 00:27:39,240 --> 00:27:42,520 Speaker 1: But I was like seven years old because it's like 534 00:27:42,640 --> 00:27:43,080 Speaker 1: he was going to. 535 00:27:43,119 --> 00:27:43,680 Speaker 2: Give me a bite. 536 00:27:43,720 --> 00:27:45,720 Speaker 1: So I missed out on getting my bite because I 537 00:27:45,720 --> 00:27:48,639 Speaker 1: could not just let him have something that I wanted 538 00:27:48,640 --> 00:27:49,840 Speaker 1: and felt entitled. 539 00:27:49,520 --> 00:27:54,840 Speaker 3: To you immediately and probably earned. I'm thinking of an 540 00:27:54,880 --> 00:27:55,720 Speaker 3: accelerated reader. 541 00:27:58,080 --> 00:27:59,760 Speaker 2: What it was like. It was like a if you 542 00:27:59,800 --> 00:28:01,080 Speaker 2: read X amount of books. 543 00:28:00,840 --> 00:28:02,920 Speaker 1: You've get an ice an ice cream coupon or something. 544 00:28:04,280 --> 00:28:07,480 Speaker 3: I weren't for this, but yeah, I think this is 545 00:28:07,520 --> 00:28:10,199 Speaker 3: so interesting and the fact that he of course Blum 546 00:28:10,280 --> 00:28:12,399 Speaker 3: had to pounce on this. I'm sure it was like 547 00:28:13,040 --> 00:28:15,360 Speaker 3: a gift for him. Yeah, I must take this. 548 00:28:15,960 --> 00:28:17,600 Speaker 1: He was like, ooh, I was looking for a way 549 00:28:17,600 --> 00:28:19,800 Speaker 1: to spread my hater vibes, and yeah, I'm sure that 550 00:28:19,840 --> 00:28:21,560 Speaker 1: Supreme Court ruling and now this lands. 551 00:28:21,640 --> 00:28:23,480 Speaker 2: This gift lands in my inbot. 552 00:28:23,200 --> 00:28:25,840 Speaker 3: And also makes me stronger, stronger than the woman who's complaining. 553 00:28:26,160 --> 00:28:40,000 Speaker 1: Exactly, so Blum is using what he is called quote 554 00:28:40,040 --> 00:28:43,240 Speaker 1: the shoe on the other foot test. The rhetorical strategy 555 00:28:43,280 --> 00:28:46,480 Speaker 1: that he asked himself is if a grant program funded 556 00:28:46,600 --> 00:28:50,880 Speaker 1: white male business owners wouldn't be considered fair. But that test, 557 00:28:51,040 --> 00:28:53,880 Speaker 1: like you were saying, Sam, really assumes. 558 00:28:53,400 --> 00:28:56,520 Speaker 2: That we are all equal and all have equal. 559 00:28:56,280 --> 00:29:00,120 Speaker 1: Access, which the data could not paint a clearer picture 560 00:29:00,120 --> 00:29:03,480 Speaker 1: about the fact that that is not happening. Black women 561 00:29:03,520 --> 00:29:05,920 Speaker 1: are the fastest rising group of entrepreneurs in the country, 562 00:29:06,080 --> 00:29:08,640 Speaker 1: according to the Harvard Business Review. In the US, an 563 00:29:08,640 --> 00:29:11,360 Speaker 1: astounding seventeen percent of Black women are in the process 564 00:29:11,400 --> 00:29:13,520 Speaker 1: of starting or running a new business. That's compared to 565 00:29:13,520 --> 00:29:15,560 Speaker 1: just ten percent of white women and fifteen percent of 566 00:29:15,600 --> 00:29:19,360 Speaker 1: white men. Yet despite this lead, only three percent of 567 00:29:19,400 --> 00:29:23,400 Speaker 1: women are running mature businesses. Why Well, one big reason 568 00:29:23,520 --> 00:29:26,680 Speaker 1: is access to capital. Harvard Business Reviews research found that 569 00:29:26,720 --> 00:29:29,320 Speaker 1: sixty one percent of Black women self fund their total 570 00:29:29,320 --> 00:29:31,600 Speaker 1: startup capital. This is in spite of the fact that, 571 00:29:31,640 --> 00:29:34,200 Speaker 1: in their finding, only twenty nine percent of black women 572 00:29:34,320 --> 00:29:37,680 Speaker 1: entrepreneurs live in households with incomes over seventy five thousand dollars, 573 00:29:38,040 --> 00:29:41,160 Speaker 1: compared to fifty two percent of white men. This data 574 00:29:41,480 --> 00:29:44,040 Speaker 1: is also combined with data suggesting that Black women are 575 00:29:44,200 --> 00:29:46,920 Speaker 1: less likely to own our own homes, pick on a 576 00:29:46,960 --> 00:29:49,120 Speaker 1: higher level of debt, do things like go to college, 577 00:29:49,400 --> 00:29:52,440 Speaker 1: and are often like saddled with debt to go to 578 00:29:52,440 --> 00:29:56,520 Speaker 1: college right, and so ultimately that leaves us saddled with 579 00:29:56,560 --> 00:30:00,720 Speaker 1: more debt and having fewer personal resources and life collateral. 580 00:30:01,480 --> 00:30:04,920 Speaker 1: Black entrepreneurs typically receive less than two percent of all 581 00:30:05,000 --> 00:30:08,160 Speaker 1: venture capital dollars each year, while companies led by black 582 00:30:08,160 --> 00:30:11,920 Speaker 1: women receive less than one percent of all funding. 583 00:30:12,120 --> 00:30:13,400 Speaker 2: This is according to Crunchbase. 584 00:30:13,800 --> 00:30:18,520 Speaker 1: So yeah, the funding landscape is not great for Black women. 585 00:30:18,840 --> 00:30:22,200 Speaker 1: Less than one percent of funding goes to us, and 586 00:30:22,680 --> 00:30:25,320 Speaker 1: so the fact that we already don't get that much. 587 00:30:25,400 --> 00:30:30,120 Speaker 1: That there are grants and investment funds specifically aimed at 588 00:30:30,720 --> 00:30:34,840 Speaker 1: shifting those numbers just a tiny bit, like the Fearless 589 00:30:34,840 --> 00:30:36,840 Speaker 1: Fund and that people are saying, no, we need to 590 00:30:36,880 --> 00:30:39,520 Speaker 1: go for that too, that less than one percent that 591 00:30:39,600 --> 00:30:41,960 Speaker 1: goes to y'all that needs to go to us. Now, 592 00:30:42,200 --> 00:30:44,880 Speaker 1: in twenty twenty, Pew found that just three percent of 593 00:30:44,960 --> 00:30:48,200 Speaker 1: US businesses were black owned, while eighty six percent were 594 00:30:48,200 --> 00:30:51,840 Speaker 1: white owned. And so, yeah, as I said, like, as 595 00:30:51,840 --> 00:30:57,400 Speaker 1: an entrepreneur, this these kind of dismal numbers completely aligned 596 00:30:57,400 --> 00:31:00,520 Speaker 1: with my own experiences trying to raise money for projects 597 00:31:00,560 --> 00:31:03,000 Speaker 1: that I want to do. There's just not a lot 598 00:31:03,040 --> 00:31:08,280 Speaker 1: out there, and you really have to stay focused and 599 00:31:08,320 --> 00:31:11,680 Speaker 1: stay positive and not really let that sort of numbers 600 00:31:11,720 --> 00:31:13,719 Speaker 1: around how dismal things can be kind of get in 601 00:31:13,760 --> 00:31:15,640 Speaker 1: your head. But then on top of it, when you 602 00:31:15,760 --> 00:31:18,520 Speaker 1: have people like Blum and these women that he's representing 603 00:31:18,600 --> 00:31:21,560 Speaker 1: in this case to challenge these funds, to challenge what 604 00:31:21,600 --> 00:31:24,200 Speaker 1: little is out there for black entrepreneurs who are women, 605 00:31:24,480 --> 00:31:28,160 Speaker 1: it's hard to internalize that as anything other than they 606 00:31:28,200 --> 00:31:30,280 Speaker 1: don't want us here, They don't want us to have anything, 607 00:31:30,440 --> 00:31:30,640 Speaker 1: you know. 608 00:31:31,240 --> 00:31:38,000 Speaker 4: Yeah, absolutely, And it's so frustrating too, because a lot 609 00:31:38,000 --> 00:31:44,720 Speaker 4: of companies like to act like they are supporting marginalized people. 610 00:31:45,000 --> 00:31:48,440 Speaker 4: They are supporting black people, and they make these like 611 00:31:48,480 --> 00:31:54,440 Speaker 4: outward promises and then just don't really follow through with them. 612 00:31:54,920 --> 00:31:57,640 Speaker 1: Yeah, y'all might remember or be thinking like I thought 613 00:31:57,680 --> 00:32:01,600 Speaker 1: in twenty twenty, like after all the racial justice uprisings, 614 00:32:01,640 --> 00:32:03,400 Speaker 1: I'm the wake of the murder of George Floyd. I 615 00:32:03,400 --> 00:32:05,800 Speaker 1: thought that all these businesses and funds and grants were 616 00:32:05,840 --> 00:32:10,239 Speaker 1: like going to start funding more diverse people and like 617 00:32:10,600 --> 00:32:13,960 Speaker 1: having a more inclusive portfolio. While I remember all those 618 00:32:13,960 --> 00:32:18,000 Speaker 1: promises too. Businesses committed three hundred and forty billion dollars 619 00:32:18,560 --> 00:32:21,880 Speaker 1: between May twenty twenty and October twenty twenty two, according 620 00:32:21,920 --> 00:32:25,560 Speaker 1: to McKenzie. And The Post also reports that investment swelled 621 00:32:25,560 --> 00:32:28,640 Speaker 1: in the startup world. A record five point one billion 622 00:32:28,640 --> 00:32:31,360 Speaker 1: dollars in funding was allocated to black founded startups in 623 00:32:31,400 --> 00:32:32,320 Speaker 1: twenty twenty one. 624 00:32:32,640 --> 00:32:33,600 Speaker 2: That sounds like a lot. 625 00:32:34,000 --> 00:32:38,360 Speaker 1: However, all of that interest and excitement and commitment pretty 626 00:32:38,440 --> 00:32:42,680 Speaker 1: much eroded very quickly, with funding for black founded startups 627 00:32:42,720 --> 00:32:47,040 Speaker 1: plunging fifty percent in twenty twenty two. So remember this 628 00:32:47,080 --> 00:32:50,120 Speaker 1: is all happening against the pendulum kind of swinging back 629 00:32:50,200 --> 00:32:53,160 Speaker 1: the other way, where all of these corporate diversity efforts 630 00:32:53,160 --> 00:32:56,960 Speaker 1: became a political lightning rod, and these employers just sort 631 00:32:57,000 --> 00:32:59,360 Speaker 1: of backpedaled, right, And so I think that that's where 632 00:32:59,360 --> 00:33:02,240 Speaker 1: we're at now, where in twenty twenty, people talked a 633 00:33:02,240 --> 00:33:04,480 Speaker 1: lot of big games about money they were going to 634 00:33:04,560 --> 00:33:06,120 Speaker 1: give and funds they were gonna give, and. 635 00:33:06,080 --> 00:33:09,880 Speaker 2: How they were gonna, you know, support inclusive people. 636 00:33:09,560 --> 00:33:12,080 Speaker 1: And startups and YadA, YadA, YadA, and all of those 637 00:33:12,080 --> 00:33:15,040 Speaker 1: promises just fizzled out, right, And I think that we're 638 00:33:15,080 --> 00:33:17,920 Speaker 1: sort of seeing I would argue, like a backlash to 639 00:33:17,960 --> 00:33:22,600 Speaker 1: that now, where diversity and inclusion staffers are being let go. 640 00:33:23,080 --> 00:33:27,040 Speaker 1: I think like recently Chick fil A just like happened 641 00:33:27,040 --> 00:33:30,400 Speaker 1: to have a diversity and inclusion person on their staff, 642 00:33:30,440 --> 00:33:34,040 Speaker 1: and like there was a flurry of like online protests 643 00:33:34,080 --> 00:33:37,400 Speaker 1: because of that. Like just having somebody thinking about that 644 00:33:37,400 --> 00:33:40,440 Speaker 1: on staff is now a lightning rod. And so obviously 645 00:33:40,480 --> 00:33:44,040 Speaker 1: in that kind of climate, these organizations are not going 646 00:33:44,080 --> 00:33:47,560 Speaker 1: to be funding black women, even though they committed to it, 647 00:33:47,640 --> 00:33:49,240 Speaker 1: even though it seemed like that was there was a 648 00:33:49,280 --> 00:33:51,280 Speaker 1: lot of excitement around that. Like, yeah, I just think 649 00:33:51,280 --> 00:33:53,200 Speaker 1: that we're in a completely different landscape than we were 650 00:33:53,200 --> 00:33:53,880 Speaker 1: in twenty twenty. 651 00:33:54,240 --> 00:33:56,880 Speaker 3: I mean, This is definitely that whole level of they 652 00:33:56,920 --> 00:33:59,840 Speaker 3: want good publicity but they're not going to follow through 653 00:33:59,920 --> 00:34:03,600 Speaker 3: is a black square. Let me pretend like I care, 654 00:34:03,760 --> 00:34:06,880 Speaker 3: and at the very least I'll be like, hey, let's 655 00:34:06,880 --> 00:34:09,200 Speaker 3: tell the black people in the story like that's That's 656 00:34:09,360 --> 00:34:13,120 Speaker 3: as far as their their actual actions went was putting 657 00:34:13,160 --> 00:34:16,280 Speaker 3: something on Instagram that they obviously deleted soon after because 658 00:34:16,320 --> 00:34:18,960 Speaker 3: they wanted to look okay for one group of people. 659 00:34:19,160 --> 00:34:20,880 Speaker 3: And I found that interesting that people are mad at 660 00:34:20,920 --> 00:34:24,000 Speaker 3: Chick fil A because it's like they're anti LGBTQ plus, 661 00:34:24,120 --> 00:34:25,800 Speaker 3: So that's not enough for you. They need to be 662 00:34:25,880 --> 00:34:27,719 Speaker 3: racist and all of these things have tould be in 663 00:34:27,800 --> 00:34:30,319 Speaker 3: LUNs enough for us to support you. You better be 664 00:34:30,440 --> 00:34:34,440 Speaker 3: super super racist and super super homophobic in order for 665 00:34:34,680 --> 00:34:38,200 Speaker 3: the conservatives. You can hate everyone except for white says people. 666 00:34:38,760 --> 00:34:41,200 Speaker 3: If not, we're not gonna support you, even if your 667 00:34:41,280 --> 00:34:42,000 Speaker 3: chicken is okay. 668 00:34:42,200 --> 00:34:44,880 Speaker 1: So it and like this is a little like unrelated, 669 00:34:44,920 --> 00:34:48,120 Speaker 1: but like I think that with a lot of these people, 670 00:34:48,160 --> 00:34:49,640 Speaker 1: the Chick fil A example that you just gave is 671 00:34:49,640 --> 00:34:50,320 Speaker 1: a great example. 672 00:34:51,160 --> 00:34:53,680 Speaker 2: A lot of these people like just they'll. 673 00:34:53,480 --> 00:34:56,759 Speaker 1: Find anything to be aggrieved about, Like you know, I 674 00:34:57,040 --> 00:35:01,960 Speaker 1: saw like Cracker Barrel was adding plant based sausage to 675 00:35:02,000 --> 00:35:05,239 Speaker 1: their menu, and people were like, plant based sausage, I'm 676 00:35:05,239 --> 00:35:07,080 Speaker 1: not gonna shop at Cracker Barrel and I'm never gonna 677 00:35:07,080 --> 00:35:09,000 Speaker 1: go to Cracker Barrel again. And it's like, they're not 678 00:35:09,120 --> 00:35:10,920 Speaker 1: taking regular sausage off the menu. 679 00:35:11,040 --> 00:35:13,600 Speaker 2: You don't have to order it. 680 00:35:12,520 --> 00:35:14,719 Speaker 1: Just because they're putting food on the menu that like 681 00:35:14,800 --> 00:35:18,800 Speaker 1: someone else might like, that's not you, that's cause for upset. 682 00:35:19,560 --> 00:35:21,480 Speaker 2: And so another thing I wanted. 683 00:35:21,320 --> 00:35:23,040 Speaker 1: To say about your point, Sam, is that there's a 684 00:35:23,080 --> 00:35:26,480 Speaker 1: makeup company, Tart. They got in hot water earlier this 685 00:35:26,600 --> 00:35:29,839 Speaker 1: year because they were doing these brand trips that looked 686 00:35:30,480 --> 00:35:34,759 Speaker 1: as if they were not being inclusive of black influencers. 687 00:35:34,760 --> 00:35:37,040 Speaker 1: That they were asking black influencers like after the fact 688 00:35:37,040 --> 00:35:40,200 Speaker 1: to come and like giving them substandard accommodations and all 689 00:35:40,200 --> 00:35:43,640 Speaker 1: of that, and somebody found that in twenty twenty, you know, 690 00:35:43,680 --> 00:35:46,719 Speaker 1: they when they posted their black Square, this company was like, 691 00:35:46,880 --> 00:35:50,360 Speaker 1: we pledged that we're going to be more inclusive and 692 00:35:50,400 --> 00:35:53,279 Speaker 1: give more, do more partnerships with black and brown. 693 00:35:53,040 --> 00:35:54,839 Speaker 2: Models, and blah blah blah, and. 694 00:35:54,760 --> 00:35:58,400 Speaker 1: Then they quietly removed that from their website, but somebody 695 00:35:58,440 --> 00:36:00,359 Speaker 1: found it on the wayback machine. It was like, Oh, 696 00:36:00,520 --> 00:36:04,560 Speaker 1: let's gonna update on all of these like very specific 697 00:36:04,600 --> 00:36:06,759 Speaker 1: commitments that you made. And it turns out that they 698 00:36:06,760 --> 00:36:09,160 Speaker 1: basically just like didn't do any of that stuff. But 699 00:36:09,200 --> 00:36:12,839 Speaker 1: the thing is, nobody put a gun to your head 700 00:36:12,960 --> 00:36:16,560 Speaker 1: and forced you to make these commitments. You you made 701 00:36:16,640 --> 00:36:20,520 Speaker 1: these commitments and just to quietly be like mm just kidding, 702 00:36:20,719 --> 00:36:23,560 Speaker 1: Like that doesn't sit right with me, Like, nobody told. 703 00:36:23,400 --> 00:36:25,040 Speaker 2: You to do this. Nobody told you to post a 704 00:36:25,040 --> 00:36:27,719 Speaker 2: black square. You did it. You volunteered to do it. 705 00:36:27,800 --> 00:36:32,120 Speaker 1: So when people expect a little follow through, that should 706 00:36:32,120 --> 00:36:33,560 Speaker 1: be that should be a given. 707 00:36:33,840 --> 00:36:38,080 Speaker 4: Yeah, And I I think about this a lot too. 708 00:36:38,920 --> 00:36:41,640 Speaker 4: We talked about this with a lot of the like 709 00:36:41,680 --> 00:36:43,719 Speaker 4: what happened with blood Light, what happened with Target? And 710 00:36:43,760 --> 00:36:46,360 Speaker 4: you know, then they just backtrack and make everyone angry. 711 00:36:46,400 --> 00:36:51,160 Speaker 4: But is I feel like there's a fundamental misunderstanding of 712 00:36:51,719 --> 00:36:54,080 Speaker 4: in this case, what it's like to be a transperson. 713 00:36:54,200 --> 00:36:55,880 Speaker 4: And then when they get like a little taste of 714 00:36:55,920 --> 00:36:59,839 Speaker 4: that the company, it's like, oh my god, oh never, 715 00:37:01,160 --> 00:37:05,319 Speaker 4: like they can't even just for that one second, like 716 00:37:05,360 --> 00:37:09,520 Speaker 4: if they get this online hate that the cause the person, 717 00:37:10,120 --> 00:37:13,640 Speaker 4: the community. They're saying they support, gets, they get it, 718 00:37:14,160 --> 00:37:16,960 Speaker 4: and then they're like, nevermind, Actually, can they have that 719 00:37:17,680 --> 00:37:21,480 Speaker 4: privilege that rite, that ability to step out and be like, Okay, 720 00:37:22,960 --> 00:37:25,360 Speaker 4: I don't want to deal with this anymore, which I 721 00:37:25,360 --> 00:37:30,480 Speaker 4: think is just very telling of ignorance and just like 722 00:37:30,520 --> 00:37:33,200 Speaker 4: a oh, sure, let's do this, and then they get 723 00:37:33,200 --> 00:37:35,200 Speaker 4: that hate and they're like, oh, oh never mind. 724 00:37:35,719 --> 00:37:36,919 Speaker 2: Yeah. 725 00:37:37,080 --> 00:37:40,279 Speaker 1: Backtracking that Dylan mulvaney thing that you just mentioned, the 726 00:37:40,400 --> 00:37:44,920 Speaker 1: thing that I will never be over is that Dylan Mulvaney, 727 00:37:45,280 --> 00:37:49,080 Speaker 1: when she left social media at the height of all 728 00:37:49,120 --> 00:37:52,680 Speaker 1: of this and came back and made that video, said 729 00:37:52,680 --> 00:37:56,640 Speaker 1: that nobody at bud Light even called her to be like, hey, 730 00:37:56,680 --> 00:37:58,560 Speaker 1: are you all right? Like I'm seeing what's going on. 731 00:37:59,600 --> 00:38:02,120 Speaker 1: I That is something that will stick with me forever. 732 00:38:02,800 --> 00:38:07,319 Speaker 1: That this brand, because she said, happened to say yes 733 00:38:07,640 --> 00:38:10,600 Speaker 1: when asked to do a brand collaboration with bud Light, 734 00:38:11,239 --> 00:38:13,920 Speaker 1: she was had to go dark, had to probably go 735 00:38:14,000 --> 00:38:18,880 Speaker 1: into hiding, like was the target of very severe attacks, 736 00:38:19,400 --> 00:38:22,160 Speaker 1: and that bud Light, the company who came to her 737 00:38:22,480 --> 00:38:25,200 Speaker 1: to bring her into this, couldn't even follow up with 738 00:38:25,239 --> 00:38:27,879 Speaker 1: an email when they saw all of this happening, how 739 00:38:27,960 --> 00:38:31,400 Speaker 1: quickly they abandoned her. And I feel like, if you 740 00:38:31,440 --> 00:38:33,840 Speaker 1: are a brand or an institution who is working with 741 00:38:33,920 --> 00:38:38,040 Speaker 1: marginalized people, if you're not going to stand by them 742 00:38:38,239 --> 00:38:41,640 Speaker 1: when this stuff kind of stuff happens and when they 743 00:38:41,640 --> 00:38:43,960 Speaker 1: get into situations that really like you have put them in. 744 00:38:44,000 --> 00:38:47,359 Speaker 1: But by offering them this, you know, these partnerships, that's 745 00:38:47,440 --> 00:38:48,120 Speaker 1: just not how. 746 00:38:48,040 --> 00:38:49,839 Speaker 2: You engage people like that. 747 00:38:49,840 --> 00:38:52,799 Speaker 1: Like, at a certain point, it's like, I understand that 748 00:38:52,920 --> 00:38:55,440 Speaker 1: bud Light is a corporation, and I don't expect corporations 749 00:38:55,480 --> 00:38:58,920 Speaker 1: to like care about any of us, certainly not marginalized people. 750 00:38:59,239 --> 00:39:05,080 Speaker 1: But the people who run bud Lights marketing or influencer 751 00:39:05,160 --> 00:39:08,080 Speaker 1: partnerships should really be taking a good hard look in 752 00:39:08,080 --> 00:39:11,000 Speaker 1: the mirror because that's just like a failure of like 753 00:39:11,200 --> 00:39:12,640 Speaker 1: how to be a human to each other. 754 00:39:12,800 --> 00:39:15,319 Speaker 2: Like, I like that just sticks with me. 755 00:39:15,360 --> 00:39:17,440 Speaker 1: I could not believe that she said that that nobody 756 00:39:17,480 --> 00:39:19,319 Speaker 1: even ever reached out to her after they just like 757 00:39:19,400 --> 00:39:23,000 Speaker 1: dropped her and never ever followed up again. 758 00:39:23,760 --> 00:39:28,040 Speaker 4: Yeah, and that's going back to your point. You know, 759 00:39:28,080 --> 00:39:31,760 Speaker 4: companies are not big companies especially are not are not allies, 760 00:39:32,120 --> 00:39:34,160 Speaker 4: and we shouldn't think of them that way. 761 00:39:34,200 --> 00:39:34,680 Speaker 2: But they. 762 00:39:36,239 --> 00:39:39,920 Speaker 4: If they posted the black square. If they take these stands, 763 00:39:39,960 --> 00:39:42,919 Speaker 4: if they say they're going to do something, then yeah, 764 00:39:42,920 --> 00:39:47,600 Speaker 4: they should absolutely be held accountable. That's just backing away 765 00:39:47,760 --> 00:39:50,720 Speaker 4: and causing real harm. We were telling you a story 766 00:39:51,160 --> 00:39:54,880 Speaker 4: before we started this out of nowhere. Someone bought that 767 00:39:55,000 --> 00:40:00,200 Speaker 4: up and like like making these things so politicized that 768 00:40:00,360 --> 00:40:05,280 Speaker 4: just to have diversity inclusion person at your company becomes 769 00:40:06,320 --> 00:40:10,000 Speaker 4: oh well, then hate, like all of this hate, like 770 00:40:10,040 --> 00:40:14,640 Speaker 4: you keep saying, it's irresponsible and it's not taking into 771 00:40:14,680 --> 00:40:17,960 Speaker 4: account like the reality of working with these groups. 772 00:40:18,080 --> 00:40:21,319 Speaker 2: Yeah, I think that's ultimately what these people want. 773 00:40:21,480 --> 00:40:24,760 Speaker 1: I think that they want just working with a trans 774 00:40:24,840 --> 00:40:27,520 Speaker 1: woman to be a lightning rod. 775 00:40:27,719 --> 00:40:30,080 Speaker 2: She's not saying anything untoward, she's not. 776 00:40:30,120 --> 00:40:33,480 Speaker 1: Doing anything untoward, she just is because her existence is 777 00:40:33,520 --> 00:40:34,160 Speaker 1: a lightning rod. 778 00:40:34,440 --> 00:40:35,960 Speaker 2: Her existence is politicized. 779 00:40:36,200 --> 00:40:40,319 Speaker 1: I think just having a DEI person just providing a 780 00:40:40,360 --> 00:40:43,640 Speaker 1: grant for black women, they want that to be toxic. 781 00:40:43,800 --> 00:40:45,719 Speaker 1: They want people to know that if you do that, 782 00:40:46,040 --> 00:40:49,080 Speaker 1: you might be in court, you might you know, be 783 00:40:49,719 --> 00:40:53,040 Speaker 1: targeted for a hate campaign. And so to just make 784 00:40:53,080 --> 00:40:56,239 Speaker 1: it not something that anybody would want to risk. And 785 00:40:56,280 --> 00:41:01,080 Speaker 1: these companies are so spineless that they're going along with it. 786 00:41:01,080 --> 00:41:03,359 Speaker 1: It's that they're being held hostage, and they're just like, okay, well, 787 00:41:03,360 --> 00:41:05,120 Speaker 1: they don't want us to. 788 00:41:06,600 --> 00:41:07,640 Speaker 2: Have the chicken sausage. 789 00:41:07,640 --> 00:41:09,880 Speaker 1: They don't want anybody who doesn't eat sausage to be 790 00:41:10,160 --> 00:41:11,560 Speaker 1: bad at our restaurants. 791 00:41:11,160 --> 00:41:12,000 Speaker 2: So okay, we'll drop. 792 00:41:12,080 --> 00:41:14,840 Speaker 1: Actually, Cracker Barrel did stand by their sausage choices, I 793 00:41:14,840 --> 00:41:19,279 Speaker 1: will say that. But yeah, I have been surprised by 794 00:41:19,320 --> 00:41:22,759 Speaker 1: how these big, huge corporations just cowtow to people who 795 00:41:22,760 --> 00:41:27,360 Speaker 1: are not serious, people who are just interested in flexing 796 00:41:27,440 --> 00:41:29,840 Speaker 1: their power, their political power, for no real reason. 797 00:41:30,280 --> 00:41:33,960 Speaker 3: I mean absolutely, we see all of these things actually 798 00:41:34,040 --> 00:41:37,640 Speaker 3: hurting people. They don't even want to be the face 799 00:41:37,640 --> 00:41:41,760 Speaker 3: of anything. They just want to exist. Funds like Fearless 800 00:41:41,760 --> 00:41:44,759 Speaker 3: fund is to exist and to help and lift up 801 00:41:44,920 --> 00:41:47,600 Speaker 3: people that they know need lifting up. The same thing 802 00:41:47,600 --> 00:41:50,520 Speaker 3: with Target when they had the small businesses with the 803 00:41:50,640 --> 00:41:54,760 Speaker 3: LGBTQ queer content and then taking them off the shelf. 804 00:41:55,080 --> 00:41:58,320 Speaker 3: We were just existing and feeling like we wanted to 805 00:41:58,360 --> 00:42:00,920 Speaker 3: be the representation that no one else is willing to 806 00:42:00,960 --> 00:42:04,400 Speaker 3: look at or see or stand behind. And you literally 807 00:42:05,040 --> 00:42:08,080 Speaker 3: came after them, taking away their money, taking away their existence, 808 00:42:09,160 --> 00:42:12,839 Speaker 3: causing harm. Because again the mulvany thing she was just 809 00:42:12,920 --> 00:42:16,560 Speaker 3: holding a beer. Yeah, she said, I like bud Light, simple, 810 00:42:16,760 --> 00:42:18,399 Speaker 3: why can't she choose to do that? And that ended 811 00:42:18,480 --> 00:42:20,800 Speaker 3: up being a thing of like, well, she is hurting 812 00:42:20,800 --> 00:42:23,319 Speaker 3: the beer industry and she is doing these things. No, 813 00:42:23,440 --> 00:42:28,239 Speaker 3: she's just existing with a product that they sent her. 814 00:42:28,480 --> 00:42:31,200 Speaker 3: They're not like giving her fifty percent of the shares 815 00:42:31,239 --> 00:42:34,480 Speaker 3: of bud Light. Like that's what is happening, Like this 816 00:42:34,640 --> 00:42:37,239 Speaker 3: whole level of like what people are having to do 817 00:42:37,280 --> 00:42:39,520 Speaker 3: and they're having to come back and being like, instead 818 00:42:39,520 --> 00:42:42,680 Speaker 3: of existing, we have to fight for our place to exist, 819 00:42:42,719 --> 00:42:46,400 Speaker 3: and that's such an absurd ideal, like the fact that 820 00:42:46,440 --> 00:42:57,399 Speaker 3: this has to be done. 821 00:42:57,680 --> 00:43:00,640 Speaker 1: So this is what Tony Morrison says about racism, and 822 00:43:00,680 --> 00:43:02,200 Speaker 1: I think it fits to all of what you're saying. 823 00:43:02,600 --> 00:43:05,960 Speaker 1: The function, the very serious function of racism is distraction. 824 00:43:06,320 --> 00:43:08,360 Speaker 1: It keeps you from doing your work. It keeps you 825 00:43:08,400 --> 00:43:11,600 Speaker 1: explaining over and over again your reason for being. Somebody 826 00:43:11,600 --> 00:43:13,680 Speaker 1: says you have no language, and you spend twenty years 827 00:43:13,680 --> 00:43:15,799 Speaker 1: trying to prove that you do. Somebody says your head 828 00:43:15,840 --> 00:43:18,360 Speaker 1: isn't shaped properly, so you have scientists working on the 829 00:43:18,360 --> 00:43:20,080 Speaker 1: fact that it is. Somebody says you have no art, 830 00:43:20,160 --> 00:43:22,600 Speaker 1: so you dredge that up. Somebody says, you have no kingdom, 831 00:43:22,680 --> 00:43:24,920 Speaker 1: so you dredge that up. None of this is necessary. 832 00:43:24,960 --> 00:43:27,960 Speaker 1: There will always be one more thing. So like that 833 00:43:28,320 --> 00:43:31,920 Speaker 1: quote really speaks to what I think is happening. You know, 834 00:43:31,960 --> 00:43:34,800 Speaker 1: the Fearless Fund, the stats that I just read about 835 00:43:34,920 --> 00:43:38,320 Speaker 1: black women entrepreneurs and how little of the funding we get. 836 00:43:38,760 --> 00:43:41,560 Speaker 1: It shows that the women who are running the Fearless Fund, 837 00:43:41,800 --> 00:43:43,000 Speaker 1: they have work to do. 838 00:43:43,120 --> 00:43:46,120 Speaker 2: They have serious work to do to right. 839 00:43:46,000 --> 00:43:49,000 Speaker 1: The wrong and to bake a little more equity into 840 00:43:49,000 --> 00:43:52,319 Speaker 1: the funding landscape. So they don't really have time to 841 00:43:52,400 --> 00:43:55,920 Speaker 1: play around with these legal challenges. But yet here they 842 00:43:55,960 --> 00:43:58,759 Speaker 1: are having to spend their money, money that could go 843 00:43:58,960 --> 00:44:03,160 Speaker 1: to the funding landscape, staffing up a legal team, holding 844 00:44:03,200 --> 00:44:04,719 Speaker 1: press conferences. 845 00:44:04,400 --> 00:44:05,000 Speaker 2: All of this. 846 00:44:05,360 --> 00:44:08,239 Speaker 1: It is such a distraction at a time when marginalized 847 00:44:08,239 --> 00:44:11,919 Speaker 1: people have real work to be doing. Fearless Fun is 848 00:44:12,120 --> 00:44:15,000 Speaker 1: fighting back. They have a beefy legal team, including the 849 00:44:15,120 --> 00:44:19,640 Speaker 1: NAACP Legal Defense Fund, Gibson Dunn, Crutcher, and Ben Crump, 850 00:44:19,840 --> 00:44:22,840 Speaker 1: the attorney who represented families of George Floyd and Tyree 851 00:44:22,920 --> 00:44:25,719 Speaker 1: Nichols in their civil suits over the men's killing out 852 00:44:25,719 --> 00:44:28,400 Speaker 1: the hands of the police, and I feel confident like 853 00:44:28,440 --> 00:44:31,480 Speaker 1: these women are like bad as women, they are not 854 00:44:31,520 --> 00:44:35,279 Speaker 1: going down without a fight. But also they shouldn't have to, right, 855 00:44:35,360 --> 00:44:38,120 Speaker 1: Like they should be able to just do their work 856 00:44:38,320 --> 00:44:40,920 Speaker 1: and focus on that work, and they should not have 857 00:44:41,000 --> 00:44:45,000 Speaker 1: to be spending their money on these bogus legal challenges 858 00:44:45,400 --> 00:44:47,520 Speaker 1: just because they want to exist, just because they want 859 00:44:47,520 --> 00:44:48,880 Speaker 1: to support other black women. 860 00:44:49,040 --> 00:44:52,200 Speaker 3: And I find that again we're in this situation that 861 00:44:52,480 --> 00:44:54,360 Speaker 3: black women are the ones that have to be the 862 00:44:54,400 --> 00:44:56,720 Speaker 3: ones to fight, like they don't want to, they're tired, 863 00:44:56,760 --> 00:44:59,120 Speaker 3: they've been doing this and now we're back again because 864 00:44:59,160 --> 00:45:01,000 Speaker 3: we know there's a lot and I know there's a 865 00:45:01,040 --> 00:45:05,000 Speaker 3: lot of fun specifically to women, like point blank women, 866 00:45:05,239 --> 00:45:07,160 Speaker 3: and they surely didn't have to go enough after them. 867 00:45:07,160 --> 00:45:08,920 Speaker 3: And I bet they were denied some of those and 868 00:45:08,960 --> 00:45:11,680 Speaker 3: they're probably better at that. But yet if they didn't, 869 00:45:12,520 --> 00:45:14,920 Speaker 3: that seems silly and that seemed very targeted. Yeah, so 870 00:45:14,960 --> 00:45:18,080 Speaker 3: that's very telling. But like it again, it has to 871 00:45:18,120 --> 00:45:19,920 Speaker 3: be the black women that has to put up this 872 00:45:20,000 --> 00:45:22,440 Speaker 3: fight in order to get anything done. 873 00:45:22,520 --> 00:45:24,680 Speaker 1: I mean, tail as old as time, right, and I 874 00:45:24,719 --> 00:45:27,800 Speaker 1: think right, I'm worried about this for a couple of reasons. 875 00:45:27,840 --> 00:45:30,880 Speaker 1: One is that I think that if these grants and 876 00:45:30,960 --> 00:45:34,080 Speaker 1: funds that specifically are meant to boost black women entrepreneurs 877 00:45:34,160 --> 00:45:38,040 Speaker 1: are deemed unconstitutional, I really don't know what the landscape 878 00:45:38,120 --> 00:45:40,560 Speaker 1: is going to look like because, as I said, like already, 879 00:45:40,960 --> 00:45:43,120 Speaker 1: so little of that funding goes to us in. 880 00:45:43,080 --> 00:45:43,720 Speaker 2: The first place. 881 00:45:44,040 --> 00:45:46,160 Speaker 1: But further, one of the reasons I wanted to talk 882 00:45:46,200 --> 00:45:48,640 Speaker 1: about it on the show today is that I don't 883 00:45:48,640 --> 00:45:51,680 Speaker 1: think it's getting near the same amount of traction and 884 00:45:51,840 --> 00:45:56,640 Speaker 1: attention that Blum's affirmative action challenges did. And I really 885 00:45:56,880 --> 00:46:00,919 Speaker 1: think that we need to see white male and white 886 00:46:01,000 --> 00:46:05,040 Speaker 1: women and really everybody in the startup space. We need 887 00:46:05,080 --> 00:46:08,520 Speaker 1: to see vcs and entrepreneurs speaking up about this, because 888 00:46:08,760 --> 00:46:12,600 Speaker 1: Blum is essentially arguing that the startup space should basically 889 00:46:12,760 --> 00:46:15,600 Speaker 1: just be for white people, and I think it's up 890 00:46:15,600 --> 00:46:18,319 Speaker 1: to everybody in the space to push back and say, like, 891 00:46:18,440 --> 00:46:20,439 Speaker 1: that is not the kind of funding space that we want, 892 00:46:20,440 --> 00:46:22,440 Speaker 1: That is not the kind of startup space that we want, 893 00:46:22,680 --> 00:46:26,120 Speaker 1: and to really make that really clear, like what kind 894 00:46:26,120 --> 00:46:27,920 Speaker 1: of a space do we want to have for the 895 00:46:27,920 --> 00:46:30,520 Speaker 1: next generation of entrepreneurs. We want to tell them that 896 00:46:30,680 --> 00:46:33,040 Speaker 1: the tiny little bit that they that might go to them. 897 00:46:33,520 --> 00:46:35,600 Speaker 2: Isn't even for them anymore. I don't think that's the 898 00:46:35,640 --> 00:46:36,319 Speaker 2: space that we. 899 00:46:36,239 --> 00:46:40,960 Speaker 3: Want, right and absolutely in the same space again, this 900 00:46:41,040 --> 00:46:43,920 Speaker 3: is gonna hurt white women as well and the like. 901 00:46:44,400 --> 00:46:48,440 Speaker 3: If we're saying that all of this is too specific 902 00:46:48,520 --> 00:46:51,359 Speaker 3: and it leads out other people of race, it's gonna 903 00:46:51,440 --> 00:46:53,719 Speaker 3: hurt gender as well. So this is not even just 904 00:46:53,719 --> 00:46:55,520 Speaker 3: for white people. It's gonna be for white men. We're 905 00:46:55,560 --> 00:46:59,000 Speaker 3: gonna have more elon musks running running programs into the ground. 906 00:46:59,040 --> 00:47:02,120 Speaker 1: That's what we're gonna see thousand percent. And I mean 907 00:47:02,200 --> 00:47:04,839 Speaker 1: kind of like what you were alluding to before, time 908 00:47:04,840 --> 00:47:10,440 Speaker 1: and time again in tech, particularly when black women challenge 909 00:47:10,480 --> 00:47:11,520 Speaker 1: things or. 910 00:47:11,560 --> 00:47:14,640 Speaker 2: Do things or start things, they uplift all women. 911 00:47:14,680 --> 00:47:19,440 Speaker 1: And so even if that specific program is for black 912 00:47:19,480 --> 00:47:22,760 Speaker 1: women owned businesses, you're gonna tell me that a black 913 00:47:22,800 --> 00:47:24,920 Speaker 1: woman who is financially supported is not going to go 914 00:47:24,920 --> 00:47:26,359 Speaker 1: on to do something that's going to lift up all 915 00:47:26,360 --> 00:47:29,000 Speaker 1: women and all marginalized people. Time and time again we 916 00:47:29,040 --> 00:47:30,640 Speaker 1: see that that's how it goes with black women. And 917 00:47:30,680 --> 00:47:32,759 Speaker 1: so yeah, I just think that this is just this 918 00:47:32,800 --> 00:47:34,720 Speaker 1: is me smacking that ice cream out of my brother's 919 00:47:34,800 --> 00:47:37,640 Speaker 1: hand when I could have gotten a bit instead, I 920 00:47:37,719 --> 00:47:40,840 Speaker 1: really want to see more folks in the space speaking 921 00:47:40,920 --> 00:47:43,719 Speaker 1: up about this because what the Fearless Fund has done 922 00:47:43,719 --> 00:47:47,920 Speaker 1: has been really great, and it's they're really like a 923 00:47:47,960 --> 00:47:51,239 Speaker 1: good force in the space, and I think that they 924 00:47:51,280 --> 00:47:51,960 Speaker 1: we need them. 925 00:47:52,000 --> 00:47:53,800 Speaker 2: Frankly, we need them. 926 00:47:53,719 --> 00:47:55,799 Speaker 3: We do and as a drop in the bucket, let's 927 00:47:55,800 --> 00:47:59,239 Speaker 3: just be real honest, like it's it's nothing in comparison 928 00:47:59,280 --> 00:48:02,800 Speaker 3: to what other people get. Essentially, it is like, wow, 929 00:48:02,880 --> 00:48:05,440 Speaker 3: you really are going after the little groups for nothing, 930 00:48:05,640 --> 00:48:08,040 Speaker 3: just just to make a point, and obviously to keep 931 00:48:08,080 --> 00:48:10,840 Speaker 3: that little bit, as you are saying, in your pocket 932 00:48:11,200 --> 00:48:13,840 Speaker 3: instead of seeing what this is actually could do for 933 00:48:13,960 --> 00:48:20,680 Speaker 3: the entire humanity. Humanity is lost. I'm sorry what yeah? 934 00:48:20,800 --> 00:48:23,040 Speaker 4: Yeah, And I mean this is very important too because 935 00:48:23,719 --> 00:48:28,640 Speaker 4: obviously professional litigant blow here like it's going to keep 936 00:48:28,640 --> 00:48:32,560 Speaker 4: trying and if this succeeds, then it's going to make 937 00:48:33,640 --> 00:48:37,640 Speaker 4: things worse for everyone except for certain people and then 938 00:48:37,760 --> 00:48:40,799 Speaker 4: easier for him to win the next thing, the next thing. 939 00:48:41,480 --> 00:48:44,160 Speaker 4: So yes, this is really really important, and thank you 940 00:48:44,200 --> 00:48:46,840 Speaker 4: as always Bridget for bringing it to us. 941 00:48:46,960 --> 00:48:50,520 Speaker 1: Oh, thank you for having me. Everyone who's listening should 942 00:48:50,520 --> 00:48:52,560 Speaker 1: go out and buy stuff. I've never told you the book. 943 00:48:52,680 --> 00:48:54,280 Speaker 2: I'd have bought it. Let's read it together. 944 00:48:55,760 --> 00:48:55,920 Speaker 3: Ya. 945 00:48:57,280 --> 00:49:00,359 Speaker 4: Yes, we're hoping to do a little crossover. We'll get 946 00:49:00,360 --> 00:49:04,680 Speaker 4: to go on your show. Yes, oh, I'm so excited. 947 00:49:05,239 --> 00:49:08,440 Speaker 4: But in the meantime, Bridget, where can the good listeners 948 00:49:08,440 --> 00:49:09,000 Speaker 4: find you? 949 00:49:09,000 --> 00:49:11,120 Speaker 1: You can listen to my podcast there are no girls 950 00:49:11,160 --> 00:49:13,440 Speaker 1: on the internet. You can find me on Instagram at 951 00:49:13,440 --> 00:49:15,920 Speaker 1: Bridget Marie and DC or on Twitter at Bridget Marie. 952 00:49:15,960 --> 00:49:18,520 Speaker 1: And you can find me on TikTok at Bridget makes podcasts. 953 00:49:18,880 --> 00:49:22,719 Speaker 4: Yes, and we really do. You appreciate your support with 954 00:49:22,760 --> 00:49:23,960 Speaker 4: the book. We love it so much. 955 00:49:24,000 --> 00:49:25,960 Speaker 3: Thank you, Thank you having. 956 00:49:25,719 --> 00:49:31,000 Speaker 4: You on as always. Feeling is so mutual, So listeners, 957 00:49:31,000 --> 00:49:33,239 Speaker 4: if you would like to contact us, you can our 958 00:49:33,280 --> 00:49:36,000 Speaker 4: emails Stephania mom Stuff at iHeartMedia dot com. You can 959 00:49:36,040 --> 00:49:37,680 Speaker 4: find us on Twitter at mom Stuff podcast or on 960 00:49:37,680 --> 00:49:38,880 Speaker 4: Instagram at TikTok at stuff. 961 00:49:38,880 --> 00:49:39,600 Speaker 2: I never told you. 962 00:49:40,160 --> 00:49:42,120 Speaker 4: We have a tea public store and we yeah, we 963 00:49:42,160 --> 00:49:44,719 Speaker 4: have a book. Can get it stuff We should read 964 00:49:44,719 --> 00:49:48,040 Speaker 4: books dot com. Thanks as always to our super producer Christina, 965 00:49:48,280 --> 00:49:49,439 Speaker 4: executive producer. 966 00:49:49,120 --> 00:49:50,560 Speaker 2: Maya, and our contributor Joey. 967 00:49:50,719 --> 00:49:53,160 Speaker 4: Thank you and thanks to you for listening Stuff on 968 00:49:53,200 --> 00:49:55,240 Speaker 4: your Pertilos direction, should I heart Radio? For more podcasts 969 00:49:55,239 --> 00:49:56,600 Speaker 4: in my heart Radio, you can check out the heart 970 00:49:56,680 --> 00:49:58,560 Speaker 4: radio app, Apple podcast or, if you listen to your 971 00:49:58,560 --> 00:50:04,400 Speaker 4: favorite shows, y