1 00:00:05,240 --> 00:00:06,880 Speaker 1: Hey, this is Annie and Samantha. 2 00:00:06,960 --> 00:00:09,120 Speaker 2: I'm hoping to stuff I never told you protection Buyheart Radio, 3 00:00:18,560 --> 00:00:21,760 Speaker 2: And today we are bringing back a classic with our 4 00:00:21,880 --> 00:00:31,040 Speaker 2: friend bridget Todd about affirmative action, and just with all 5 00:00:31,080 --> 00:00:35,199 Speaker 2: of the things that are happening with DEI and the 6 00:00:35,560 --> 00:00:38,960 Speaker 2: tax on it, the rollbacks on it, the abandonment of it, 7 00:00:40,040 --> 00:00:48,040 Speaker 2: I just think that this conversation we had about the 8 00:00:48,200 --> 00:00:56,160 Speaker 2: very legal organized effort to roll back affirmative action is 9 00:00:56,280 --> 00:01:00,200 Speaker 2: relevant and we're seeing it play out. 10 00:01:01,720 --> 00:01:02,360 Speaker 3: Even now. 11 00:01:04,200 --> 00:01:07,759 Speaker 1: The fact that the lawsuit that came down in order 12 00:01:07,800 --> 00:01:11,080 Speaker 1: to contest it has made it worse and harder for 13 00:01:11,160 --> 00:01:16,560 Speaker 1: Asian Americans to get into these same universities is quite 14 00:01:16,840 --> 00:01:21,760 Speaker 1: the ironic, comical, painful. I don't know one of those words. 15 00:01:22,120 --> 00:01:25,319 Speaker 3: Maybe a mixture of all three. Maybe a mixture of 16 00:01:25,360 --> 00:01:25,839 Speaker 3: all three. 17 00:01:27,120 --> 00:01:32,120 Speaker 2: Yes, well, please enjoy this classic episode. 18 00:01:37,080 --> 00:01:38,520 Speaker 1: Hey, this is Annie and Samantha. 19 00:01:38,520 --> 00:01:40,080 Speaker 2: I'm what good to Steffan never told you a production 20 00:01:40,160 --> 00:01:52,600 Speaker 2: of iHeartRadio, and today we are so happy to once 21 00:01:52,640 --> 00:01:56,320 Speaker 2: again it be joined by the marvelous, the fantastic, the 22 00:01:56,400 --> 00:01:58,960 Speaker 2: wonderful bridget Todd award winning. 23 00:02:00,800 --> 00:02:04,040 Speaker 4: Award winning and book buying because I just bought your 24 00:02:04,080 --> 00:02:05,480 Speaker 4: new books stuff I've never told you. 25 00:02:05,400 --> 00:02:06,200 Speaker 5: Because I'm so excited. 26 00:02:06,200 --> 00:02:08,239 Speaker 4: We were talking off Mike about how excited I am 27 00:02:08,560 --> 00:02:13,080 Speaker 4: so add award winning Comma stuff I'm never told you 28 00:02:13,080 --> 00:02:18,760 Speaker 4: book purchasing to that name of who I Am, Who 29 00:02:18,760 --> 00:02:19,040 Speaker 4: I Am? 30 00:02:19,400 --> 00:02:19,840 Speaker 1: Thank you? 31 00:02:20,520 --> 00:02:24,840 Speaker 2: Yes, it really really reads a lot. Yeah, and we 32 00:02:25,160 --> 00:02:28,480 Speaker 2: are so excited to have you on. I just I 33 00:02:28,919 --> 00:02:31,000 Speaker 2: feel like we haven't seen you in forever, even though I. 34 00:02:30,919 --> 00:02:31,919 Speaker 3: Know it's not true. 35 00:02:32,240 --> 00:02:32,840 Speaker 1: Time flies. 36 00:02:33,040 --> 00:02:36,080 Speaker 2: Yeah, so it's great. It's very very great to have 37 00:02:36,120 --> 00:02:38,920 Speaker 2: you as always. How have you been, bridget what's been 38 00:02:38,960 --> 00:02:41,360 Speaker 2: going on? I know you do have some awards or 39 00:02:41,400 --> 00:02:43,640 Speaker 2: potential case trophy case. 40 00:02:44,960 --> 00:02:48,680 Speaker 1: In this case that sounded really sorry, like. 41 00:02:48,720 --> 00:02:50,400 Speaker 5: Do you know think about my legal. 42 00:02:53,720 --> 00:02:57,080 Speaker 4: I am happy to take home the not the winning award, 43 00:02:57,120 --> 00:02:58,640 Speaker 4: but the second runner up whatever you want to call it. 44 00:02:59,080 --> 00:03:02,280 Speaker 4: Shorty Award for Best Tech and Science Podcast. Major shout 45 00:03:02,320 --> 00:03:06,680 Speaker 4: out star team Joey and Tari and Jonathan and Mike. Also, 46 00:03:06,800 --> 00:03:09,960 Speaker 4: speaking of Joey, I heard Joey on Stuff I've Never 47 00:03:09,960 --> 00:03:12,520 Speaker 4: Told You doing that episode about Coosa and it was 48 00:03:12,520 --> 00:03:15,880 Speaker 4: a really good episode. So they did of y'all yeah 49 00:03:15,919 --> 00:03:19,639 Speaker 4: for that one. Yeah, this summer is winding down Thank God. 50 00:03:19,840 --> 00:03:23,240 Speaker 4: I'm really looking forward to fall. This summer didn't really 51 00:03:23,520 --> 00:03:25,440 Speaker 4: take for me. How has the summer been. 52 00:03:25,360 --> 00:03:27,560 Speaker 1: For y'all, you're asking while we're in the middle of 53 00:03:27,800 --> 00:03:32,160 Speaker 1: like hurricane season. Yeah, so we've had a lot of rain, 54 00:03:32,200 --> 00:03:34,520 Speaker 1: and a lot more rain is coming today, especially in 55 00:03:34,560 --> 00:03:38,120 Speaker 1: this week. So I will say though, as a person 56 00:03:38,200 --> 00:03:41,600 Speaker 1: who does enjoy like some of the somber parts of 57 00:03:41,640 --> 00:03:44,360 Speaker 1: the weather, like the like the darkness and the lightning, 58 00:03:44,600 --> 00:03:46,320 Speaker 1: as long as I'm not near it, because I do 59 00:03:46,360 --> 00:03:48,880 Speaker 1: have a small fear of that lightning. I am much 60 00:03:49,000 --> 00:03:51,800 Speaker 1: like my dog. But the heat, I'm good without it. 61 00:03:51,840 --> 00:03:53,920 Speaker 1: But I do have a fear of winter in that 62 00:03:54,000 --> 00:03:57,080 Speaker 1: I don't like being cold, so I feel like that's 63 00:03:57,080 --> 00:03:59,800 Speaker 1: too close to So I'm just an unhappy person. 64 00:04:01,040 --> 00:04:03,280 Speaker 4: You don't want any of the seasons Like winter, I 65 00:04:03,320 --> 00:04:04,720 Speaker 4: don't care for it. 66 00:04:04,760 --> 00:04:07,160 Speaker 1: I love fall and spring, but it's so sure that 67 00:04:07,200 --> 00:04:09,120 Speaker 1: i'llo get okay, I'm unhappy again. 68 00:04:11,280 --> 00:04:14,280 Speaker 4: I'm ready for like it's it's been so hot in DC. 69 00:04:14,400 --> 00:04:18,920 Speaker 4: I'm I'm so ready to like be contemplative with a 70 00:04:19,000 --> 00:04:21,919 Speaker 4: sweater and like walk around holding a coffee and like, 71 00:04:22,480 --> 00:04:24,600 Speaker 4: you know, all the little all the things that you 72 00:04:24,640 --> 00:04:25,360 Speaker 4: associate with fall. 73 00:04:25,440 --> 00:04:26,000 Speaker 5: I'm ready for it. 74 00:04:26,240 --> 00:04:29,200 Speaker 1: Well, I am like a my personality is Cardigan. Like 75 00:04:29,200 --> 00:04:31,160 Speaker 1: that's just the personality that I am. So I am 76 00:04:31,160 --> 00:04:32,080 Speaker 1: looking forward to that too. 77 00:04:32,720 --> 00:04:36,279 Speaker 4: Yeah, your personality can really shine, It's true. 78 00:04:37,040 --> 00:04:43,000 Speaker 1: Cardigan'style poncho, A good poncho and what I mean poncho. 79 00:04:43,080 --> 00:04:46,080 Speaker 1: I'm talking like you know, the sweater ponchos. I am 80 00:04:46,120 --> 00:04:48,200 Speaker 1: that girl. Don't worry about me. I'll be in the 81 00:04:48,440 --> 00:04:53,320 Speaker 1: order with my poncho and Cardigans cozy every day. It 82 00:04:53,400 --> 00:04:57,040 Speaker 1: sounds great, Annie, now you feel about it. 83 00:04:57,600 --> 00:04:59,840 Speaker 3: Uh, I'm ready for it to be over. 84 00:05:00,040 --> 00:05:03,640 Speaker 2: While I was complaining about my AC unit, my window 85 00:05:03,640 --> 00:05:06,520 Speaker 2: AC unit just now. But I do agree with you, Bridget. 86 00:05:06,560 --> 00:05:11,400 Speaker 2: It didn't feel like it it took because I'm still 87 00:05:11,920 --> 00:05:14,159 Speaker 2: I am definitely going out more than I did, but 88 00:05:15,920 --> 00:05:18,839 Speaker 2: when the pandemic was like enfuls thing, but I'm still like, 89 00:05:18,920 --> 00:05:21,000 Speaker 2: I don't go out nearly as often, so I don't 90 00:05:21,000 --> 00:05:23,960 Speaker 2: go outside all the time, and so I'm just getting 91 00:05:24,080 --> 00:05:26,720 Speaker 2: like the heat with my sad ac unit and not 92 00:05:27,080 --> 00:05:28,680 Speaker 2: any of that other stuff. 93 00:05:29,520 --> 00:05:30,320 Speaker 3: So it doesn't. 94 00:05:31,200 --> 00:05:34,839 Speaker 2: Yeah, it just sort of felt like, oh, falls coming out, Okay, 95 00:05:36,160 --> 00:05:40,919 Speaker 2: you know, miss it? Yeah, And I follows my favorite 96 00:05:41,120 --> 00:05:47,080 Speaker 2: month of season, so I'm very very excited for that. 97 00:05:47,240 --> 00:05:51,680 Speaker 2: But yeah, it is supposed to rain pretty badly today 98 00:05:51,720 --> 00:05:54,120 Speaker 2: and this there might be thunder. The power might go up. 99 00:05:54,160 --> 00:05:56,720 Speaker 2: My power goes out all the time, so we'll see. 100 00:05:56,839 --> 00:05:58,920 Speaker 2: But I feel like it's appropriate for what we're talking. 101 00:05:58,640 --> 00:06:03,040 Speaker 5: About on the horizon to be aware. That is a 102 00:06:03,160 --> 00:06:07,159 Speaker 5: masterful segue. You're a real tro Thank you. 103 00:06:07,920 --> 00:06:10,360 Speaker 2: I have a very specific skill set and it's like 104 00:06:10,560 --> 00:06:15,679 Speaker 2: bad puns and some interesting segues transitioning perfect. 105 00:06:17,040 --> 00:06:20,039 Speaker 4: Well, yeah, that's a great transition because we gotta be 106 00:06:20,080 --> 00:06:24,200 Speaker 4: aware of all the different Supreme Court legal challenges and 107 00:06:24,240 --> 00:06:26,719 Speaker 4: storms on the horizon, one of which I am talking 108 00:06:26,720 --> 00:06:29,600 Speaker 4: about today, and that's because the man who brought us 109 00:06:29,600 --> 00:06:32,640 Speaker 4: the legal challenge that struck down affirmative action earlier this 110 00:06:32,680 --> 00:06:36,000 Speaker 4: summer is back, and this time he is coming for 111 00:06:36,080 --> 00:06:40,200 Speaker 4: grants and the fellowships that support marginalized people. So you 112 00:06:40,279 --> 00:06:43,239 Speaker 4: all probably recall that earlier this summer, back in June, 113 00:06:43,520 --> 00:06:46,960 Speaker 4: the Supreme Court struck down affirmative action, ruling that race 114 00:06:47,200 --> 00:06:49,760 Speaker 4: can no longer play a part in college admissions. 115 00:06:50,120 --> 00:06:52,520 Speaker 5: Notably, the decision just applied to race. 116 00:06:52,800 --> 00:06:56,240 Speaker 4: It did not apply to gender or things like legacy 117 00:06:56,279 --> 00:07:01,080 Speaker 4: status or donor status being considered in the college admissions process. Separately, 118 00:07:01,240 --> 00:07:04,960 Speaker 4: some colleges, like Harvard have signaled that they might start 119 00:07:05,000 --> 00:07:08,120 Speaker 4: re examining the role that things like legacy status plays 120 00:07:08,160 --> 00:07:11,320 Speaker 4: in college admissions in light of that Supreme Court ruling. 121 00:07:12,000 --> 00:07:14,560 Speaker 4: Do you all remember this. I remember when the ruling 122 00:07:14,640 --> 00:07:19,760 Speaker 4: was struck down, how big it felt, especially being a 123 00:07:19,800 --> 00:07:23,520 Speaker 4: big Supreme Court ruling about a year after the after 124 00:07:23,720 --> 00:07:27,800 Speaker 4: row was struck down, it felt like, you know, one 125 00:07:27,840 --> 00:07:30,560 Speaker 4: big torrent of rain and then another big torrent of 126 00:07:30,640 --> 00:07:32,800 Speaker 4: rain to continue your metaphor, Annie. 127 00:07:33,800 --> 00:07:35,920 Speaker 1: Yes, metaphor nicely done. 128 00:07:36,280 --> 00:07:38,960 Speaker 2: Yes, Yeah, No, it definitely did, because that was at 129 00:07:39,000 --> 00:07:42,920 Speaker 2: the end of the Supreme Court session and there had 130 00:07:42,960 --> 00:07:47,800 Speaker 2: just been a lot of I mean, it turned out 131 00:07:47,800 --> 00:07:49,240 Speaker 2: to be true, but a lot of fear around like 132 00:07:49,240 --> 00:07:49,920 Speaker 2: what will they do? 133 00:07:50,400 --> 00:07:50,520 Speaker 4: Right? 134 00:07:50,560 --> 00:07:51,720 Speaker 5: It just made like all. 135 00:07:51,560 --> 00:07:54,200 Speaker 3: Of these decisions in one day. 136 00:07:54,480 --> 00:07:57,920 Speaker 1: One day. Yeah, you know, it's odd because I was 137 00:07:57,960 --> 00:08:01,640 Speaker 1: absolutely alive, and I think, like talking about trying to 138 00:08:01,720 --> 00:08:04,200 Speaker 1: get into school and having this whole conversation when I'm 139 00:08:04,200 --> 00:08:06,400 Speaker 1: a firmative action was coming into debate to begin with, 140 00:08:06,920 --> 00:08:08,920 Speaker 1: and to see it like this, I'm not gonna lie, 141 00:08:08,960 --> 00:08:11,640 Speaker 1: I'm gonna be very transparent here as growing up in 142 00:08:11,680 --> 00:08:15,360 Speaker 1: a white household who are very conservative, not around any 143 00:08:15,360 --> 00:08:18,320 Speaker 1: marginalized groups outside of me, who they rescued and put 144 00:08:18,320 --> 00:08:21,040 Speaker 1: that in air quotes out of like a marginalized a 145 00:08:21,200 --> 00:08:24,800 Speaker 1: bad situation, seeing what they were saying was feded into 146 00:08:24,840 --> 00:08:27,160 Speaker 1: me and being like, yeah, I absolutely agree that I 147 00:08:27,200 --> 00:08:29,400 Speaker 1: should not get I don't want to be given a 148 00:08:29,440 --> 00:08:31,480 Speaker 1: special spot because of my race. I want to earn it. 149 00:08:31,680 --> 00:08:34,000 Speaker 1: Like I said that out loud to my family before 150 00:08:34,120 --> 00:08:37,679 Speaker 1: I started college, in any of that, not understanding what 151 00:08:37,720 --> 00:08:40,080 Speaker 1: it really was, and I truly believe my parents believe that. 152 00:08:40,080 --> 00:08:42,000 Speaker 1: I don't think my siblings believe that because they're they 153 00:08:42,040 --> 00:08:44,920 Speaker 1: are educated and they'd understand, but I truly believe that 154 00:08:45,000 --> 00:08:47,280 Speaker 1: because that was what was fed into me. So I 155 00:08:47,360 --> 00:08:51,439 Speaker 1: have this real, like ugh ick feeling about this whole 156 00:08:51,480 --> 00:08:55,840 Speaker 1: action because the face of the suit was an Asian 157 00:08:55,880 --> 00:08:59,400 Speaker 1: man who was bitter, bitter little baby that I feel 158 00:08:59,440 --> 00:09:01,760 Speaker 1: like so many ways about it, and then coming into 159 00:09:01,800 --> 00:09:05,760 Speaker 1: college on my own and then understanding what it truly 160 00:09:05,960 --> 00:09:09,040 Speaker 1: was and realizing, oh yeah, that stuff that I spewed 161 00:09:09,040 --> 00:09:11,719 Speaker 1: out as a kid was actual white supremacy coming out 162 00:09:11,720 --> 00:09:14,000 Speaker 1: of my mouth because I was trying to impress my 163 00:09:14,040 --> 00:09:18,120 Speaker 1: white family and being fed a bunch of lies. So 164 00:09:18,200 --> 00:09:21,520 Speaker 1: it was it felt like so gross to know that 165 00:09:21,559 --> 00:09:25,200 Speaker 1: I was manipulated like that at my young age, at 166 00:09:25,240 --> 00:09:26,679 Speaker 1: my young age. Also that I think, I don't know 167 00:09:26,720 --> 00:09:28,040 Speaker 1: how old the students. I guess he was trying to 168 00:09:28,040 --> 00:09:30,200 Speaker 1: get into college, so I guess maybe around the same time, 169 00:09:31,040 --> 00:09:33,720 Speaker 1: and then coming into this now that I'm like, oh 170 00:09:33,760 --> 00:09:37,080 Speaker 1: my god, what have we done? Essentially like with allowing 171 00:09:37,160 --> 00:09:39,960 Speaker 1: these types of lies to perpetuate and not looking at 172 00:09:40,000 --> 00:09:45,160 Speaker 1: the true statistics behind these actual numbers and why affirmative 173 00:09:45,160 --> 00:09:48,280 Speaker 1: action was and is necessary. But again, because of that 174 00:09:48,360 --> 00:09:51,680 Speaker 1: rhetoric being around, it wasn't surprising that it was undone 175 00:09:51,720 --> 00:09:54,559 Speaker 1: because it was truly hanging on by a thread because 176 00:09:54,559 --> 00:09:57,240 Speaker 1: of those types of lies. But yeah, I have like 177 00:09:57,400 --> 00:10:02,559 Speaker 1: this ache and like mourning in guilt, guilt by association 178 00:10:02,679 --> 00:10:05,760 Speaker 1: and guilt by like past actions that I'm like, oh 179 00:10:05,800 --> 00:10:09,120 Speaker 1: my god, what is this Like? Part of what I 180 00:10:09,200 --> 00:10:11,640 Speaker 1: was spewing is part of the reason this is undone. 181 00:10:11,760 --> 00:10:15,520 Speaker 1: Of course, the bigger picture is again white supremacists and 182 00:10:15,559 --> 00:10:18,040 Speaker 1: their power that they wanted to play and the overall 183 00:10:18,280 --> 00:10:21,760 Speaker 1: arcing like who was doing the main grab and trying 184 00:10:21,760 --> 00:10:25,480 Speaker 1: to make sure that what marginalized people stay down and 185 00:10:25,520 --> 00:10:29,120 Speaker 1: stay unable to get to any of these places because 186 00:10:29,160 --> 00:10:31,800 Speaker 1: they do not have the connections essentially just all connections, 187 00:10:31,920 --> 00:10:36,000 Speaker 1: not even money anymore so connections, and it's just disgusting. So, yeah, 188 00:10:36,200 --> 00:10:37,720 Speaker 1: I have very strong feelings. 189 00:10:38,280 --> 00:10:40,839 Speaker 4: Yeah, I first of all, thank you for sharing that, 190 00:10:40,960 --> 00:10:45,080 Speaker 4: and I can kind of identify, I know how you feel. 191 00:10:45,160 --> 00:10:47,040 Speaker 4: I don't think that you need to have guilt for 192 00:10:47,160 --> 00:10:50,800 Speaker 4: having felt that way, because, first of all, we live 193 00:10:50,880 --> 00:10:55,199 Speaker 4: in a society where it's so easy to pit marginalize 194 00:10:55,240 --> 00:10:59,120 Speaker 4: people against each other in service as upholding white supremacy. 195 00:10:59,160 --> 00:11:03,080 Speaker 4: Like that is a and true method that bad actors 196 00:11:03,320 --> 00:11:06,280 Speaker 4: and people interested in upholding white supremacy have engaged for 197 00:11:06,320 --> 00:11:08,240 Speaker 4: a very long time. And so the reason they do 198 00:11:08,280 --> 00:11:10,200 Speaker 4: it is because it's effective, and so it's not surprising 199 00:11:10,200 --> 00:11:13,079 Speaker 4: that it will be effective on you, a young person. Also, 200 00:11:13,400 --> 00:11:16,720 Speaker 4: the way that we talk about it, I think just 201 00:11:16,760 --> 00:11:21,120 Speaker 4: does not set people up to have a full understanding 202 00:11:21,360 --> 00:11:24,560 Speaker 4: of the conversation. Right, So we talk so much about 203 00:11:24,559 --> 00:11:28,040 Speaker 4: affirmative action, and when we talk about affirmative action, usually 204 00:11:28,120 --> 00:11:30,800 Speaker 4: the face of affirmative action is a black person, right, 205 00:11:30,840 --> 00:11:33,120 Speaker 4: And so we're talking about like, oh, well, do you 206 00:11:33,160 --> 00:11:35,240 Speaker 4: think that black people should get a leg up in 207 00:11:35,320 --> 00:11:38,920 Speaker 4: admissions processes? Of course people are not gonna agree with that. 208 00:11:38,960 --> 00:11:41,160 Speaker 4: But the reality is is that that is a myth 209 00:11:41,200 --> 00:11:45,240 Speaker 4: because the Department of Labor shows that the primary beneficiaries 210 00:11:45,240 --> 00:11:47,959 Speaker 4: of affirmative action are actually white women. That is not 211 00:11:48,559 --> 00:11:50,440 Speaker 4: what the way that are, the way that we talk 212 00:11:50,480 --> 00:11:52,400 Speaker 4: about it would lead you to believe, right. And so 213 00:11:53,160 --> 00:11:57,960 Speaker 4: another idea is that when we talk about admissions. 214 00:11:56,840 --> 00:11:59,480 Speaker 5: So I would say, this is just my opinion, but 215 00:11:59,520 --> 00:12:00,040 Speaker 5: I would say that. 216 00:12:00,800 --> 00:12:08,160 Speaker 4: There is an outsized space given to conversations about affirmative action, which, 217 00:12:08,360 --> 00:12:10,480 Speaker 4: as I said, are sort of translated through like oh 218 00:12:10,800 --> 00:12:13,440 Speaker 4: black people that go the face of it, and so 219 00:12:13,679 --> 00:12:17,160 Speaker 4: much less space given to things like legacy. 220 00:12:16,800 --> 00:12:19,480 Speaker 5: Status, which I think I had a stat earlier. 221 00:12:19,520 --> 00:12:23,520 Speaker 4: But it's some astronomical amount of kids in college get 222 00:12:23,559 --> 00:12:26,480 Speaker 4: there because they are their parents went to that college, 223 00:12:26,600 --> 00:12:29,600 Speaker 4: or their parents are donors to that college, or some 224 00:12:29,720 --> 00:12:33,400 Speaker 4: sort of a leg up. And essentially what that is 225 00:12:33,480 --> 00:12:36,400 Speaker 4: is like affirmative action for rich people. Yeah, we don't 226 00:12:36,400 --> 00:12:39,360 Speaker 4: even it's not even part of the conversation. And certainly 227 00:12:39,360 --> 00:12:41,079 Speaker 4: has not been part of the conversation the way that 228 00:12:41,120 --> 00:12:43,480 Speaker 4: affirmative action has been. So I would argue that, like, 229 00:12:44,160 --> 00:12:48,800 Speaker 4: you were not given a clear picture of the issue 230 00:12:49,200 --> 00:12:51,800 Speaker 4: in order to be able to like thoughtfully come up 231 00:12:51,800 --> 00:12:53,960 Speaker 4: with a critique or an opinion about it, right, And 232 00:12:54,000 --> 00:12:56,080 Speaker 4: I think that that has to be by design. 233 00:12:56,040 --> 00:12:59,720 Speaker 1: Right absolutely. I think in the understanding, as you are saying, 234 00:12:59,800 --> 00:13:03,240 Speaker 1: is the rhetoric I was given was all anti black. 235 00:13:03,480 --> 00:13:05,680 Speaker 1: Like we're going to be very very specific in calling 236 00:13:05,679 --> 00:13:08,480 Speaker 1: it what it was. It wasn't about anything else. It 237 00:13:08,520 --> 00:13:11,800 Speaker 1: wasn't about me being a minority or like being Asian 238 00:13:11,880 --> 00:13:15,480 Speaker 1: and a marginalized woman. Is literally they were trying to 239 00:13:15,480 --> 00:13:17,800 Speaker 1: be anti black. They were staying the quiet part out 240 00:13:17,800 --> 00:13:21,840 Speaker 1: loud because that's all they see. That's the big enemy 241 00:13:21,920 --> 00:13:25,640 Speaker 1: that is built up against white people, which is so 242 00:13:25,760 --> 00:13:29,360 Speaker 1: disgusting and it's very prevalent. Like that's the real understanding. 243 00:13:29,520 --> 00:13:32,200 Speaker 1: You need to have that whole fact and hold that 244 00:13:32,240 --> 00:13:36,240 Speaker 1: conversation is this is an anti black movement, and in 245 00:13:36,320 --> 00:13:40,000 Speaker 1: that it had, it did not It did not actually 246 00:13:40,240 --> 00:13:42,920 Speaker 1: help to the black community that much at all. It 247 00:13:42,960 --> 00:13:45,600 Speaker 1: really did not bring in, as you said, statistically, black 248 00:13:45,640 --> 00:13:48,800 Speaker 1: people into colleges. It was again more white women, all 249 00:13:48,840 --> 00:13:52,760 Speaker 1: white women essentially, and then again the legacy people that 250 00:13:52,880 --> 00:13:54,559 Speaker 1: those are the people who are still remaining and going 251 00:13:54,600 --> 00:13:57,680 Speaker 1: to colleges and still getting scholarships to get into these colleges, 252 00:13:57,840 --> 00:14:01,360 Speaker 1: and still getting like loans at a reason interest rate 253 00:14:01,640 --> 00:14:04,520 Speaker 1: all of those things. But for some reason, they built 254 00:14:04,520 --> 00:14:06,760 Speaker 1: this boogieman, not some reason, we know why, but they 255 00:14:06,840 --> 00:14:10,720 Speaker 1: built a boogieman in order to make sure that they 256 00:14:10,720 --> 00:14:13,520 Speaker 1: put down a specific group of people because they're like, hey, 257 00:14:13,720 --> 00:14:15,280 Speaker 1: this is about all we can win. We've always won 258 00:14:15,320 --> 00:14:16,520 Speaker 1: with this exactly, let's do this. 259 00:14:17,120 --> 00:14:20,440 Speaker 4: Anti blackness is always that is a train that's always 260 00:14:20,520 --> 00:14:21,080 Speaker 4: on time. 261 00:14:21,560 --> 00:14:22,680 Speaker 5: So what's interesting. 262 00:14:22,280 --> 00:14:25,080 Speaker 4: About what you just said is that white women, despite 263 00:14:25,120 --> 00:14:28,480 Speaker 4: being the biggest beneficiaries of affirmative action, are also the 264 00:14:28,520 --> 00:14:31,120 Speaker 4: most likely to be against it. So, according to a 265 00:14:31,160 --> 00:14:34,800 Speaker 4: twenty fourteen Cooperative Congressional Election study, nearly seventy percent of 266 00:14:34,840 --> 00:14:37,800 Speaker 4: the twenty thousand, six hundred and ninety four self identified 267 00:14:37,880 --> 00:14:41,480 Speaker 4: non Hispanic white women surveyed either somewhat or strongly opposed 268 00:14:41,480 --> 00:14:44,960 Speaker 4: affirmative action. Again, I think it's like one of those 269 00:14:45,000 --> 00:14:48,800 Speaker 4: situations where because the way that it is framed is 270 00:14:48,840 --> 00:14:51,400 Speaker 4: like this is a program that helps black people, and 271 00:14:51,440 --> 00:14:53,200 Speaker 4: if you don't think black people should be getting a 272 00:14:53,280 --> 00:14:55,560 Speaker 4: leg up over you, you should not be into it. 273 00:14:55,600 --> 00:14:56,600 Speaker 5: You should be against it. 274 00:14:57,320 --> 00:15:01,600 Speaker 4: That rhetoric actually ends up hurting all marginalized people, whether 275 00:15:01,600 --> 00:15:03,640 Speaker 4: you're a white woman, because you know, like it's one 276 00:15:03,680 --> 00:15:08,960 Speaker 4: of those dynamics where the anti blackness becomes a way. 277 00:15:08,920 --> 00:15:10,280 Speaker 5: To get people on board. 278 00:15:10,760 --> 00:15:14,440 Speaker 4: But then that is not an accurate reflection of who 279 00:15:14,560 --> 00:15:20,000 Speaker 4: the beneficiaries of programs like affirmative action actually end up being. Right, So, Annie, 280 00:15:20,080 --> 00:15:23,160 Speaker 4: you were saying how Asian Americans were kind of made 281 00:15:23,200 --> 00:15:27,480 Speaker 4: the face of the sort of victims of affirmative action, 282 00:15:27,600 --> 00:15:30,000 Speaker 4: and that is very much by design because of this 283 00:15:30,080 --> 00:15:33,240 Speaker 4: guy who is a conservative litigant named Edward Blum. 284 00:15:33,760 --> 00:15:34,640 Speaker 5: I call him a. 285 00:15:34,560 --> 00:15:36,600 Speaker 4: Litigant because that's like kind of what he is, like 286 00:15:36,640 --> 00:15:40,240 Speaker 4: a professional lawsuit bringer. He is not a lawyer himself, 287 00:15:40,320 --> 00:15:44,080 Speaker 4: but he basically connects potential plaintiffs with attorneys who are 288 00:15:44,080 --> 00:15:46,880 Speaker 4: willing to represent them in test cases, which he then 289 00:15:47,040 --> 00:15:50,360 Speaker 4: uses to try to set legal presidents. He is the 290 00:15:50,480 --> 00:15:54,320 Speaker 4: founder and sole member of an organization called Project on 291 00:15:54,440 --> 00:15:56,560 Speaker 4: Fair Representation, which he found that in two thousand and five, 292 00:15:56,840 --> 00:16:00,800 Speaker 4: which focuses on voting, education, contracting, employment, racial quotas, and 293 00:16:00,880 --> 00:16:05,200 Speaker 4: racial reparations. Basically, his whole thing is bringing legal challenges 294 00:16:05,240 --> 00:16:09,360 Speaker 4: to strike down laws that I would argue protect non white, 295 00:16:09,480 --> 00:16:13,160 Speaker 4: non straight, non men. More on this later. However, if 296 00:16:13,160 --> 00:16:15,680 Speaker 4: you were to ask him, he would probably say that 297 00:16:15,760 --> 00:16:18,880 Speaker 4: it's not that he wants to elevate like one race 298 00:16:18,960 --> 00:16:22,200 Speaker 4: over anybody else, but that he wants all laws and 299 00:16:22,360 --> 00:16:26,320 Speaker 4: all like public considerations to be race or identity neutral. 300 00:16:26,600 --> 00:16:30,440 Speaker 4: He has described his ethos like this quote, our history 301 00:16:30,440 --> 00:16:32,960 Speaker 4: has been tainted tragically by the use of race in 302 00:16:33,040 --> 00:16:37,200 Speaker 4: various public and private arenas. Race discrimination is odious, something 303 00:16:37,200 --> 00:16:39,560 Speaker 4: the founding principles of the Civil Rights movement were designed 304 00:16:39,560 --> 00:16:44,280 Speaker 4: to eliminate. Personally, I would say that I don't know 305 00:16:44,320 --> 00:16:46,440 Speaker 4: if I buy what he is saying. It seems like 306 00:16:46,480 --> 00:16:49,280 Speaker 4: an awfully convenient way to justify the fact that he 307 00:16:49,400 --> 00:16:53,680 Speaker 4: keeps gutting laws that protect marginalized people. But there you 308 00:16:53,760 --> 00:16:56,000 Speaker 4: have it. That is what he says. His motivation is. 309 00:16:56,000 --> 00:16:58,400 Speaker 4: He just thinks that everything should be race neutral. 310 00:16:58,960 --> 00:16:59,160 Speaker 1: Right. 311 00:16:59,200 --> 00:17:03,000 Speaker 4: The Guardians ripes him as quote a human wrecking ball 312 00:17:03,040 --> 00:17:05,399 Speaker 4: on a mission to destroy the landmark achievements of the 313 00:17:05,400 --> 00:17:07,879 Speaker 4: Civil Rights era and send the country back to a 314 00:17:08,000 --> 00:17:10,520 Speaker 4: dark age of discrimination and harassment of minorities in the 315 00:17:10,560 --> 00:17:13,439 Speaker 4: workplace and higher education and at the ballot box. 316 00:17:14,640 --> 00:17:17,520 Speaker 1: H Well, I mean this is the very basis of 317 00:17:17,800 --> 00:17:21,720 Speaker 1: hitting that level of if everything was fair from the beginning, 318 00:17:22,200 --> 00:17:26,040 Speaker 1: great great, if everything was equal and everybody had same equity, 319 00:17:26,760 --> 00:17:29,640 Speaker 1: that would be a beautiful utopia. But as we know, 320 00:17:29,960 --> 00:17:34,960 Speaker 1: this land, this country, most countries that have been colonized, 321 00:17:35,320 --> 00:17:38,520 Speaker 1: is not based on that level, and that it has 322 00:17:38,680 --> 00:17:41,840 Speaker 1: never been about equity, has always been about who has 323 00:17:41,960 --> 00:17:44,080 Speaker 1: power and those who have power. Really was like, but 324 00:17:44,240 --> 00:17:46,960 Speaker 1: I love that time. That was a great time, But 325 00:17:47,080 --> 00:17:49,919 Speaker 1: can't we have that again? Which is like, hmm, you know, 326 00:17:50,000 --> 00:17:51,840 Speaker 1: we know what you're really saying exactly. 327 00:18:03,640 --> 00:18:06,399 Speaker 4: The affirmative action ruling was not Flump's first rodeo. A 328 00:18:06,480 --> 00:18:08,520 Speaker 4: legal challenge that he brought was what led to the 329 00:18:08,560 --> 00:18:11,120 Speaker 4: gutting of the Voting Rights Act. That was the Shelby 330 00:18:11,200 --> 00:18:14,520 Speaker 4: County Versus Holder case that he sponsored in twenty thirteen, 331 00:18:14,800 --> 00:18:16,960 Speaker 4: and it led to the Supreme Court overturning a key 332 00:18:17,000 --> 00:18:19,879 Speaker 4: provision in the nineteen sixty five Voting Rights Act. That 333 00:18:20,000 --> 00:18:23,200 Speaker 4: legal challenge is when we saw the introduction of things 334 00:18:23,200 --> 00:18:26,640 Speaker 4: like voter ID requirements, cutting back on early voting, eliminating 335 00:18:26,680 --> 00:18:28,000 Speaker 4: same day voter registration. 336 00:18:28,200 --> 00:18:31,400 Speaker 5: All of that was because of him. So thank you Edward. 337 00:18:31,080 --> 00:18:34,760 Speaker 4: Blum for ushering that into our landscape. 338 00:18:35,119 --> 00:18:36,880 Speaker 1: He's really the villain, yea. 339 00:18:37,400 --> 00:18:40,159 Speaker 4: In all the story on my podcast, there are no 340 00:18:40,240 --> 00:18:42,000 Speaker 4: girls on the Internet. We've referred to him a lot 341 00:18:42,000 --> 00:18:44,560 Speaker 4: as just like a professional hater, Like he's just someone 342 00:18:44,560 --> 00:18:46,840 Speaker 4: who like just like hate hate haty hate hate, like go, 343 00:18:46,880 --> 00:18:50,040 Speaker 4: I don't like that hate hate hate like professional hater. 344 00:18:50,680 --> 00:18:51,120 Speaker 1: Is he does? 345 00:18:51,119 --> 00:18:51,320 Speaker 5: He is? 346 00:18:51,359 --> 00:18:52,000 Speaker 1: He very rich. 347 00:18:52,720 --> 00:18:54,960 Speaker 5: I think he's wealthy, like I think I think. 348 00:18:54,760 --> 00:18:57,240 Speaker 4: That he I've actually looked into him because I'm he's 349 00:18:57,280 --> 00:18:58,280 Speaker 4: one of those figures that. 350 00:18:58,280 --> 00:19:00,000 Speaker 5: I find so cure. 351 00:19:01,400 --> 00:19:04,520 Speaker 4: He did not come from wealth, but I think that 352 00:19:04,560 --> 00:19:07,639 Speaker 4: he has wealth now and he's just interested in using 353 00:19:07,680 --> 00:19:12,280 Speaker 4: that wealth and influencing those connections into creating these different 354 00:19:12,359 --> 00:19:15,360 Speaker 4: legal precedents that I would say harm us. 355 00:19:15,359 --> 00:19:18,840 Speaker 1: All right, he is that evil genius because we've seen 356 00:19:18,960 --> 00:19:21,520 Speaker 1: that in a lot of conservative think tanks as well 357 00:19:21,560 --> 00:19:26,240 Speaker 1: as essentially right wing groups that have been building up 358 00:19:26,640 --> 00:19:30,440 Speaker 1: the legal system to only help them, putting in uh 359 00:19:30,480 --> 00:19:32,600 Speaker 1: those in law school that they know that they can 360 00:19:32,640 --> 00:19:34,719 Speaker 1: pull back out, educating them and funding them to the 361 00:19:34,760 --> 00:19:36,840 Speaker 1: full in order to come back out and do these 362 00:19:36,840 --> 00:19:40,040 Speaker 1: types of cases, knowing that if they can do this, 363 00:19:40,040 --> 00:19:41,560 Speaker 1: this is going to be the basis of how they 364 00:19:41,640 --> 00:19:42,600 Speaker 1: win essential. 365 00:19:42,640 --> 00:19:45,520 Speaker 4: Oh yes, did you guys, did you all see that 366 00:19:46,720 --> 00:19:49,120 Speaker 4: docuseries on the Duggers on Hulu? 367 00:19:49,640 --> 00:19:50,800 Speaker 1: No, I couldn't get to their yet. 368 00:19:51,200 --> 00:19:56,280 Speaker 5: So that's the whole thing. It's a real like Jeze 369 00:19:56,400 --> 00:19:57,280 Speaker 5: as you might imagine. 370 00:19:57,440 --> 00:19:57,720 Speaker 1: Sure. 371 00:19:58,000 --> 00:20:00,440 Speaker 4: One of the things they make very clear is that 372 00:20:01,320 --> 00:20:05,240 Speaker 4: it's not just about like this one problematic super religious 373 00:20:05,240 --> 00:20:06,080 Speaker 4: family on TV. 374 00:20:06,640 --> 00:20:08,840 Speaker 5: It is about this vast network. 375 00:20:08,520 --> 00:20:12,919 Speaker 4: Of young people who are being trained and educated and 376 00:20:13,040 --> 00:20:16,600 Speaker 4: oursol are very well connected to reach the highest levels 377 00:20:16,680 --> 00:20:19,840 Speaker 4: of government and influence to make laws for all of us. 378 00:20:19,880 --> 00:20:24,040 Speaker 4: So it's not enough that like their kids are homeschooled, 379 00:20:24,080 --> 00:20:26,960 Speaker 4: or that their kids live a certain way. They are 380 00:20:27,160 --> 00:20:31,040 Speaker 4: training the next generation of political operatives and lawmakers to 381 00:20:31,040 --> 00:20:33,000 Speaker 4: make sure that all of us and all of our 382 00:20:33,080 --> 00:20:36,280 Speaker 4: kids live the way that they think that they should 383 00:20:36,280 --> 00:20:40,600 Speaker 4: be living. So it's pretty, I guess some diabolical. 384 00:20:41,359 --> 00:20:42,680 Speaker 5: It's the word I would use. 385 00:20:43,440 --> 00:20:47,200 Speaker 4: You mentioned earlier, how when you were having conversations about college, 386 00:20:47,200 --> 00:20:50,480 Speaker 4: you remember watching the first wave of the affirmative action 387 00:20:50,560 --> 00:20:53,840 Speaker 4: legal challenge go down, and even if folks weren't following 388 00:20:54,040 --> 00:20:57,800 Speaker 4: affirmative action very closely, they might remember Blum's earlier attempt 389 00:20:57,880 --> 00:21:01,000 Speaker 4: to challenge it. So Blum had been working to challenge 390 00:21:01,000 --> 00:21:04,080 Speaker 4: affirmative action since twenty thirteen, when he worked with this woman, 391 00:21:04,280 --> 00:21:06,720 Speaker 4: Abigail Fisher, who was the daughter of a good friend 392 00:21:06,760 --> 00:21:08,280 Speaker 4: of his who was a white woman. 393 00:21:09,000 --> 00:21:10,400 Speaker 5: She you might umber shid red hair. 394 00:21:11,000 --> 00:21:13,200 Speaker 4: She did not get into University of Texas because her 395 00:21:13,240 --> 00:21:17,000 Speaker 4: GPA was frankly mid. She sued the University of Texas 396 00:21:17,040 --> 00:21:19,560 Speaker 4: at Austin in two thousand and eight after it denied 397 00:21:19,600 --> 00:21:22,080 Speaker 4: her admission. She had a three point five to nine 398 00:21:22,200 --> 00:21:26,080 Speaker 4: GPA as a senior, which put her just below the 399 00:21:26,160 --> 00:21:29,760 Speaker 4: cutoff for a state law requiring UT to accept any 400 00:21:29,800 --> 00:21:32,760 Speaker 4: graduate in the top ten percent of their high school class. 401 00:21:32,760 --> 00:21:35,920 Speaker 4: So like mathematically speaking, she was not in the top 402 00:21:35,960 --> 00:21:36,640 Speaker 4: ten percent of her. 403 00:21:36,600 --> 00:21:37,480 Speaker 5: High school class. 404 00:21:37,600 --> 00:21:41,000 Speaker 4: She felt that she should have still gotten admission because 405 00:21:41,000 --> 00:21:45,320 Speaker 4: of her extracurricular activities combined with her GPA, and that 406 00:21:45,400 --> 00:21:48,480 Speaker 4: she would have gotten into UT if the university had 407 00:21:48,520 --> 00:21:52,320 Speaker 4: not used race as a factor in selecting its freshman class, 408 00:21:52,600 --> 00:21:54,960 Speaker 4: which she argued was a violation of the Fourteenth Amendment's 409 00:21:55,000 --> 00:21:56,080 Speaker 4: Equal Protection clause. 410 00:21:56,760 --> 00:21:58,320 Speaker 5: Do you all remember this? Like she was like a 411 00:21:58,480 --> 00:22:01,080 Speaker 5: very like memorable figure, Like. 412 00:22:01,400 --> 00:22:03,919 Speaker 4: I feel like when I when I hear about this, 413 00:22:03,960 --> 00:22:06,679 Speaker 4: I can see this one image of her standing at 414 00:22:06,720 --> 00:22:08,720 Speaker 4: a podium outside of the Supreme Court, which is like 415 00:22:08,760 --> 00:22:09,680 Speaker 4: burned in my mind. 416 00:22:09,800 --> 00:22:13,000 Speaker 1: I do remember this because I remember thinking, this is 417 00:22:13,160 --> 00:22:17,000 Speaker 1: the dumbest argument I've ever seen, because I'm like, girl, 418 00:22:17,040 --> 00:22:20,080 Speaker 1: you didn't make it, Like even without a firmative action, 419 00:22:20,200 --> 00:22:22,320 Speaker 1: you wouldn't have you wouldn't have made it. Do you 420 00:22:22,359 --> 00:22:25,040 Speaker 1: not understand how many people are struggling to get into 421 00:22:25,040 --> 00:22:28,119 Speaker 1: college today because a little more access has happened, not 422 00:22:28,200 --> 00:22:30,400 Speaker 1: just because of a firmative action, but like the lottery 423 00:22:30,520 --> 00:22:33,160 Speaker 1: and all of those things when we had more scholarships. 424 00:22:33,800 --> 00:22:35,439 Speaker 1: I was just like, why are people listening to her? 425 00:22:35,520 --> 00:22:37,080 Speaker 1: I think that was the biggest question in my head. 426 00:22:37,080 --> 00:22:39,000 Speaker 1: I was like, why are we paying attention to this? 427 00:22:39,160 --> 00:22:41,720 Speaker 1: Like she has no case, I think I thought. 428 00:22:42,520 --> 00:22:45,200 Speaker 3: I remember thinking though, like is this an onion headbline? 429 00:22:45,920 --> 00:22:47,480 Speaker 5: Like she did. 430 00:22:48,880 --> 00:22:50,639 Speaker 3: The grades are bad and now she's. 431 00:22:51,680 --> 00:22:53,720 Speaker 1: I think that was the beginning of like, oh, this 432 00:22:53,880 --> 00:22:56,960 Speaker 1: is a Becky Sorry Becky's in the world, that's really 433 00:22:57,000 --> 00:22:58,840 Speaker 1: just whining because she couldn't get her away like that. 434 00:22:58,920 --> 00:23:01,400 Speaker 1: I remember like that was the beginning of that of like, oh, 435 00:23:01,680 --> 00:23:04,240 Speaker 1: sorority girl was again no no, no, no hate to 436 00:23:04,240 --> 00:23:06,520 Speaker 1: sorority people. I'm so sorry, but you know that level 437 00:23:06,600 --> 00:23:09,200 Speaker 1: like stereotype in that my daddy said that I could 438 00:23:09,200 --> 00:23:10,240 Speaker 1: get in and now I'm not in. 439 00:23:10,359 --> 00:23:14,400 Speaker 4: Why so the way that y'all are reacting is exactly 440 00:23:14,440 --> 00:23:18,320 Speaker 4: how I'm this is validating because I remember her being 441 00:23:18,400 --> 00:23:21,320 Speaker 4: treated like kind of a joke, like her GP was 442 00:23:21,359 --> 00:23:24,080 Speaker 4: like fine, but certainly at three point a lot higher 443 00:23:24,080 --> 00:23:25,600 Speaker 4: than my GPA was when I was in high school, 444 00:23:25,640 --> 00:23:26,840 Speaker 4: so like I'll. 445 00:23:26,640 --> 00:23:28,640 Speaker 5: Own that, but like you know. 446 00:23:28,640 --> 00:23:30,960 Speaker 4: It's not three point five nine is not an automatic 447 00:23:31,160 --> 00:23:32,600 Speaker 4: entrance to wherever you want to go to college. 448 00:23:32,600 --> 00:23:35,760 Speaker 5: It's like a fine GPA, And so I remember people calling. 449 00:23:35,480 --> 00:23:38,960 Speaker 4: Her Becky with the bad grades, and the vibe around 450 00:23:39,520 --> 00:23:42,040 Speaker 4: her was like she was just salty that she didn't 451 00:23:42,040 --> 00:23:45,480 Speaker 4: get in, and so she was like blaming black people. 452 00:23:45,520 --> 00:23:48,480 Speaker 4: And so obviously she was not a very I guess, 453 00:23:48,480 --> 00:23:51,320 Speaker 4: sympathetic legal challenge to affirmative action. 454 00:23:52,119 --> 00:23:55,000 Speaker 5: So obviously Abigail's legal challenge did not work. 455 00:23:55,040 --> 00:23:58,800 Speaker 4: So bum regrouped and made the strategic choice to make 456 00:23:58,880 --> 00:24:01,359 Speaker 4: the face of affirmative action, or the people being harmed 457 00:24:01,359 --> 00:24:04,639 Speaker 4: by affirmative action, according to him, Asian Americans. According to 458 00:24:04,720 --> 00:24:07,360 Speaker 4: an NPR article he told a gathering of the Houston 459 00:24:07,440 --> 00:24:10,800 Speaker 4: Chinese Alliance in twenty fifteen, quote, I needed plaintiffs. 460 00:24:10,880 --> 00:24:12,480 Speaker 5: I needed Asian plaintiffs. 461 00:24:13,080 --> 00:24:16,200 Speaker 4: NPR spoke to Hannay Lopez, a race and constitutional law 462 00:24:16,240 --> 00:24:19,800 Speaker 4: scholar at Berkeley, who described this as a deliberate switch 463 00:24:19,880 --> 00:24:23,640 Speaker 4: in strategy, and that the argument was no longer centered 464 00:24:23,640 --> 00:24:27,200 Speaker 4: on how affirmative action impacts white people. Instead quote, there's 465 00:24:27,240 --> 00:24:29,920 Speaker 4: this move to strengthen the surface argument that this is 466 00:24:30,040 --> 00:24:31,400 Speaker 4: racism against minorities. 467 00:24:31,440 --> 00:24:32,800 Speaker 5: I think it's part of the appeal. 468 00:24:32,880 --> 00:24:36,440 Speaker 4: And so I've read like Asian American activists and advocates 469 00:24:36,440 --> 00:24:40,119 Speaker 4: saying that, like what he was doing was this intentional 470 00:24:40,520 --> 00:24:44,840 Speaker 4: shift to make Asian Americans like a proxy stand. 471 00:24:44,560 --> 00:24:48,320 Speaker 5: In for white people to be like, oh no, like this. 472 00:24:48,280 --> 00:24:52,000 Speaker 4: Can't be about racial animis because I am trying to 473 00:24:52,359 --> 00:24:55,480 Speaker 4: advocate for Asian Americans. And again, I think it's a 474 00:24:55,520 --> 00:24:59,480 Speaker 4: really great example of how effective a strategy it is 475 00:24:59,520 --> 00:25:02,920 Speaker 4: to pit marginalized groups against one another in service of 476 00:25:02,960 --> 00:25:07,840 Speaker 4: white supremacy, because in the end, it's not like I think, 477 00:25:07,880 --> 00:25:11,560 Speaker 4: since affirmative action has been struck down, we've already seen 478 00:25:12,160 --> 00:25:14,600 Speaker 4: data trickle in that wasn't that long ago, but already 479 00:25:14,600 --> 00:25:17,359 Speaker 4: we've seen data trickle in that suggests that like, yeah, 480 00:25:17,400 --> 00:25:19,360 Speaker 4: it's it's white. 481 00:25:19,400 --> 00:25:20,360 Speaker 5: People with connections. 482 00:25:20,400 --> 00:25:24,800 Speaker 4: It's white legacy students who are continuing to get more 483 00:25:25,000 --> 00:25:28,240 Speaker 4: slots in admissions. It's not you know, it's certainly not 484 00:25:28,359 --> 00:25:32,120 Speaker 4: helping the Asian Americans who were who brought this challenge. 485 00:25:32,160 --> 00:25:33,520 Speaker 5: It's actually just opening. 486 00:25:33,359 --> 00:25:36,920 Speaker 4: Up more slots for more rich white people, because that's 487 00:25:36,920 --> 00:25:39,480 Speaker 4: how college works in the United States, right. 488 00:25:39,920 --> 00:25:43,240 Speaker 1: And of course this play is being used by other 489 00:25:44,200 --> 00:25:48,280 Speaker 1: places such as Florida do doing the Asian American history 490 00:25:48,760 --> 00:25:52,120 Speaker 1: instead but blacklisting African American history. And we know what 491 00:25:52,160 --> 00:25:54,840 Speaker 1: that play is that that's the same type of narrative. 492 00:25:54,840 --> 00:25:57,080 Speaker 1: They're like, oh, this is working, let's try this, let's 493 00:25:57,160 --> 00:25:58,600 Speaker 1: keep this going exactly. 494 00:25:59,119 --> 00:26:02,239 Speaker 4: So, I really want to talk about so, after on 495 00:26:02,280 --> 00:26:05,640 Speaker 4: the heels of successfully getting the Supreme Court to strike 496 00:26:05,640 --> 00:26:08,320 Speaker 4: down affirmative action, what is Blum's next move? 497 00:26:08,480 --> 00:26:09,360 Speaker 5: Well, he is. 498 00:26:09,440 --> 00:26:12,640 Speaker 4: Back after gutting affirmative action, his next move is going 499 00:26:12,680 --> 00:26:16,679 Speaker 4: after fellowships and grant programs that support marginalized people. He 500 00:26:16,760 --> 00:26:19,440 Speaker 4: is suing two corporate law firms on the grounds that 501 00:26:19,480 --> 00:26:21,920 Speaker 4: they're fellowship programs that are aimed at students of color, 502 00:26:22,240 --> 00:26:25,880 Speaker 4: those who identify as LGBTQ plus, and students with disabilities, 503 00:26:25,960 --> 00:26:29,399 Speaker 4: exclude applicants based on race, and he is demanding that 504 00:26:29,440 --> 00:26:33,719 Speaker 4: those programs be shut down. He is also suing a 505 00:26:33,760 --> 00:26:37,120 Speaker 4: black venture capital firm called the Fearless Fund. So this 506 00:26:37,160 --> 00:26:39,080 Speaker 4: is kind of the meat of why I wanted to 507 00:26:39,080 --> 00:26:42,560 Speaker 4: bring this conversation to the table today, because he is 508 00:26:42,560 --> 00:26:46,679 Speaker 4: alleging that the Fearless Fund is practicing unlawful racial discrimination. 509 00:26:47,160 --> 00:26:50,399 Speaker 4: Blum claims the Fearless Fund is engaged in explicit racial 510 00:26:50,440 --> 00:26:54,560 Speaker 4: exclusion by operating a grant program quote only open to 511 00:26:54,600 --> 00:26:58,119 Speaker 4: black females. According to The Washington Post, the lawsuit is 512 00:26:58,160 --> 00:27:00,720 Speaker 4: asked to prevent the Fund from selecting its next round 513 00:27:00,720 --> 00:27:02,760 Speaker 4: of grant winners. The claim states that the firm is 514 00:27:02,880 --> 00:27:05,600 Speaker 4: quote violating Section nineteen eighty one of the Civil Rights 515 00:27:05,640 --> 00:27:08,440 Speaker 4: Act of eighteen sixty six, a US law barring racial 516 00:27:08,480 --> 00:27:12,280 Speaker 4: bias in private contracts, by making only black women eligible 517 00:27:12,400 --> 00:27:13,480 Speaker 4: in the grant competition. 518 00:27:14,200 --> 00:27:19,320 Speaker 5: So yeah, he's just like coming after anything that he 519 00:27:19,560 --> 00:27:23,159 Speaker 5: sees as supporting non white people. 520 00:27:23,840 --> 00:27:26,280 Speaker 4: The Fearless fun was launched in twenty nineteen by three 521 00:27:26,320 --> 00:27:29,560 Speaker 4: prominent black women, Keisha Knight Pullman who you might remember 522 00:27:29,640 --> 00:27:34,000 Speaker 4: as Rudy Huxtable on The Cosby Show, entrepreneur arian Simone, 523 00:27:34,119 --> 00:27:37,960 Speaker 4: and corporate executive Ayana Parsons. They have a strong and 524 00:27:38,000 --> 00:27:42,240 Speaker 4: impressive list of investors like Bank of America, Costco, General Mills, MasterCard, 525 00:27:42,320 --> 00:27:45,520 Speaker 4: JP Morgan. They've invested in over forty businesses in the 526 00:27:45,560 --> 00:27:48,840 Speaker 4: past four years, including Atlanta favorite The Slutty Vegan. 527 00:27:48,880 --> 00:27:49,680 Speaker 5: Have y'all eaten there? 528 00:27:49,880 --> 00:27:53,000 Speaker 1: Oh? Yeah, it was near my house that I lived. 529 00:27:53,080 --> 00:27:56,399 Speaker 2: Yeah, Samantha was smart and went during the Super Bowl, 530 00:27:56,720 --> 00:27:58,480 Speaker 2: so there was no one there. 531 00:27:59,200 --> 00:28:03,159 Speaker 1: They are open till two am, and so when the 532 00:28:03,160 --> 00:28:06,119 Speaker 1: Super Bowl because it's always packed out, and what we 533 00:28:06,160 --> 00:28:09,560 Speaker 1: went at it still took forever. They made good food. 534 00:28:09,720 --> 00:28:12,560 Speaker 1: It takes a while, but yeah, we would. I think 535 00:28:12,600 --> 00:28:15,359 Speaker 1: the only been once though, it's I don't stand in lines. 536 00:28:16,520 --> 00:28:18,120 Speaker 3: It was a long line. I've never been. 537 00:28:18,200 --> 00:28:23,040 Speaker 1: But and she has expanded that business everywhere, especially in 538 00:28:23,119 --> 00:28:26,120 Speaker 1: Atlanta and then Georgia. So good on her and owns 539 00:28:26,160 --> 00:28:27,240 Speaker 1: a lot of property. 540 00:28:27,480 --> 00:28:29,960 Speaker 4: That wouldn't be possible without the Fearless Fund. And so 541 00:28:31,040 --> 00:28:34,400 Speaker 4: the lawsuit that Blum is bringing centers on the Fearless 542 00:28:34,400 --> 00:28:37,960 Speaker 4: Funds Fearless Strivers Grant contest, which awards black women who 543 00:28:37,960 --> 00:28:40,959 Speaker 4: own small businesses twenty thousand dollars in grants and digital 544 00:28:40,960 --> 00:28:44,720 Speaker 4: tools to help them grow their businesses and mentorship opportunities. 545 00:28:45,200 --> 00:28:49,520 Speaker 4: So interestingly enough, Blama did not seek out the Fearless 546 00:28:49,560 --> 00:28:51,960 Speaker 4: Fund to sue, but rather, he says that a non 547 00:28:52,080 --> 00:28:54,719 Speaker 4: black woman who runs a business reached out to him 548 00:28:54,800 --> 00:28:58,600 Speaker 4: via email and flagged like, did you know that these 549 00:28:58,640 --> 00:29:01,160 Speaker 4: black women are running a grant program that I can't 550 00:29:01,160 --> 00:29:04,240 Speaker 4: be part of? And so the Washington Post reports, but 551 00:29:04,320 --> 00:29:07,520 Speaker 4: the lawsuit sites three female business owners, one from New 552 00:29:07,600 --> 00:29:10,160 Speaker 4: York and two from Virginia who argued that they could 553 00:29:10,160 --> 00:29:13,239 Speaker 4: have benefited from the Fearless Funds grant program, but they 554 00:29:13,240 --> 00:29:17,600 Speaker 4: were ineligible because they are not black. So yeah, these 555 00:29:17,640 --> 00:29:22,959 Speaker 4: non black women basically just felt like they should be 556 00:29:23,280 --> 00:29:27,000 Speaker 4: entitled to this grant program that black women established for 557 00:29:27,080 --> 00:29:29,040 Speaker 4: themselves to support black women. 558 00:29:29,200 --> 00:29:32,040 Speaker 5: They were like, we should have a piece of that. 559 00:29:32,040 --> 00:29:34,880 Speaker 1: That's such an interesting take because I'm like, well, you 560 00:29:34,960 --> 00:29:39,600 Speaker 1: also didn't get it from every other business grant ever, 561 00:29:40,080 --> 00:29:43,160 Speaker 1: so why are you choosing this like you want? Did 562 00:29:43,200 --> 00:29:46,280 Speaker 1: you try for it? This just seems like a lazy 563 00:29:46,320 --> 00:29:48,600 Speaker 1: part of like I want this one thing, I couldn't 564 00:29:48,600 --> 00:29:49,160 Speaker 1: get it. I quit. 565 00:29:49,200 --> 00:29:54,480 Speaker 4: They're biased, Like yeah, I mean, this is just my opinion, 566 00:29:54,640 --> 00:29:58,600 Speaker 4: and but like it's so hard to not see this 567 00:29:58,680 --> 00:30:01,680 Speaker 4: as like just hater vibe. It's like everything has to 568 00:30:01,680 --> 00:30:03,520 Speaker 4: be for you, and if it's not for you, you 569 00:30:03,600 --> 00:30:06,480 Speaker 4: have to shut it down. I think it goes back 570 00:30:06,520 --> 00:30:10,000 Speaker 4: to what we were saying earlier about the women who 571 00:30:10,200 --> 00:30:13,120 Speaker 4: benefit from affirmative action are also the ones who are 572 00:30:13,720 --> 00:30:14,520 Speaker 4: the most likely to. 573 00:30:14,480 --> 00:30:15,200 Speaker 5: Be against it. 574 00:30:16,880 --> 00:30:20,560 Speaker 4: I firmly believe that there is enough out there for 575 00:30:20,640 --> 00:30:23,560 Speaker 4: all of us. And I'm an entrepreneur, right so I 576 00:30:23,680 --> 00:30:28,720 Speaker 4: know how hard the funding spaces for women, all women, 577 00:30:29,800 --> 00:30:31,560 Speaker 4: but I know how hard it is for black women, 578 00:30:31,600 --> 00:30:33,480 Speaker 4: in particular as a black woman. We'll get into some 579 00:30:33,480 --> 00:30:35,960 Speaker 4: of the stats in just a moment, but I believe 580 00:30:36,040 --> 00:30:40,000 Speaker 4: that despite that, there is enough for everyone. Everyone will 581 00:30:40,000 --> 00:30:42,720 Speaker 4: find their lane, everyone will find their people, everyone will 582 00:30:42,720 --> 00:30:45,040 Speaker 4: find what they need to make what they want happen. 583 00:30:45,160 --> 00:30:48,840 Speaker 4: I believe that as like a meditation that keeps me 584 00:30:49,040 --> 00:30:52,560 Speaker 4: in this work and keeps me being an entrepreneur. 585 00:30:53,000 --> 00:30:56,280 Speaker 5: But I feel like the dynamic. 586 00:30:55,760 --> 00:30:59,360 Speaker 4: That says that women need to be pit against each other, 587 00:30:59,480 --> 00:31:01,600 Speaker 4: that if you're a white woman you need to be 588 00:31:02,560 --> 00:31:04,160 Speaker 4: trying to shut down a grant that. 589 00:31:04,240 --> 00:31:04,960 Speaker 5: Is for black women. 590 00:31:05,200 --> 00:31:07,840 Speaker 4: That's not a dynamic that helps anybody, right, And so 591 00:31:08,600 --> 00:31:10,720 Speaker 4: I think that we all have our place, we all 592 00:31:10,720 --> 00:31:12,720 Speaker 4: have our niche es enough for all of us. But 593 00:31:12,840 --> 00:31:16,160 Speaker 4: that dynamic that we are enemies only serve that does 594 00:31:16,240 --> 00:31:18,360 Speaker 4: not serve anybody. It doesn't serve me, It doesn't serve 595 00:31:18,400 --> 00:31:20,920 Speaker 4: it. It ultimately won't serve them as either. It just keeps 596 00:31:20,960 --> 00:31:24,280 Speaker 4: us pit against each other as opposed to these larger 597 00:31:24,360 --> 00:31:26,400 Speaker 4: systems that are actually holding us all down. 598 00:31:26,560 --> 00:31:28,920 Speaker 1: It's such a mind play that they have to people 599 00:31:28,960 --> 00:31:30,880 Speaker 1: have to go through to be like, Okay, I can't 600 00:31:30,920 --> 00:31:33,040 Speaker 1: get this one thing because they say I can't have it, 601 00:31:33,080 --> 00:31:35,000 Speaker 1: So that means no one should have it, because I'm 602 00:31:35,000 --> 00:31:37,760 Speaker 1: gonna be miserable, and so are you. Misery Lifts Company. 603 00:31:37,800 --> 00:31:40,040 Speaker 1: We're going to keep this mentality going and then also 604 00:31:40,200 --> 00:31:43,360 Speaker 1: not look at the like here's the small thing versus 605 00:31:43,560 --> 00:31:46,000 Speaker 1: the giant amount of stuff that you also can't get 606 00:31:46,040 --> 00:31:49,400 Speaker 1: because you're not a rich white man, But you don't 607 00:31:49,400 --> 00:31:51,720 Speaker 1: care about that thing, Like that's the one thing that's 608 00:31:51,760 --> 00:31:54,400 Speaker 1: a little bit more accessible to tear someone down who 609 00:31:54,520 --> 00:31:56,720 Speaker 1: other people will help you tear down with, instead of 610 00:31:56,720 --> 00:31:59,240 Speaker 1: this big giant amount of cash that's just sitting here 611 00:31:59,520 --> 00:32:01,520 Speaker 1: for the white man. Like it's just I said, for 612 00:32:01,560 --> 00:32:04,560 Speaker 1: the white man, like I'm a native but like, but 613 00:32:04,680 --> 00:32:07,480 Speaker 1: you know, that's just like mind level, like how much 614 00:32:07,480 --> 00:32:10,760 Speaker 1: you're willing to ignore to be like, Okay, I'm at 615 00:32:10,800 --> 00:32:13,280 Speaker 1: the bottom. Who can I make lesser than me? Who 616 00:32:13,280 --> 00:32:15,120 Speaker 1: can I push down further than me? So at the 617 00:32:15,200 --> 00:32:17,400 Speaker 1: very least I'm not at the very bottom. Oh my god, 618 00:32:17,360 --> 00:32:18,640 Speaker 1: that's such a mind trick. 619 00:32:19,040 --> 00:32:20,880 Speaker 4: This reminds me of when I was a little kid 620 00:32:20,960 --> 00:32:24,000 Speaker 4: and my brother had this like free coupon for an 621 00:32:24,000 --> 00:32:26,600 Speaker 4: ice cream from McDonald's that he got from school. So 622 00:32:26,640 --> 00:32:29,520 Speaker 4: he went to McDonald's together and he got one ice cream, 623 00:32:29,560 --> 00:32:31,280 Speaker 4: and I didn't have any money because we were little kids, 624 00:32:31,440 --> 00:32:33,200 Speaker 4: and so they gave him his ice cream, and I 625 00:32:33,240 --> 00:32:35,160 Speaker 4: got very jealous, and so I smacked it out of 626 00:32:35,160 --> 00:32:37,200 Speaker 4: his hand on to the ground, and he was like, I. 627 00:32:37,120 --> 00:32:40,520 Speaker 5: Was gonna give you a bite. That's like because I. 628 00:32:40,560 --> 00:32:42,040 Speaker 4: Was like, I don't want him to get something that 629 00:32:42,080 --> 00:32:44,760 Speaker 4: I can't have it because I got a flattering story. 630 00:32:44,800 --> 00:32:48,000 Speaker 4: But I was like seven years old, right, because it's 631 00:32:48,000 --> 00:32:49,400 Speaker 4: like he was going to give me a bite. So 632 00:32:49,440 --> 00:32:51,480 Speaker 4: I missed out on getting my bite because I could 633 00:32:51,560 --> 00:32:54,280 Speaker 4: not just let him have something that I wanted and 634 00:32:54,280 --> 00:32:55,400 Speaker 4: felt entitled. 635 00:32:55,080 --> 00:33:01,280 Speaker 1: To you immediately and probably earned an accelerated reader. 636 00:33:03,640 --> 00:33:05,320 Speaker 4: What it was like, it was like a if you 637 00:33:05,360 --> 00:33:07,160 Speaker 4: read X amount of books, you get an ice an 638 00:33:07,200 --> 00:33:08,480 Speaker 4: ice cream coupon or something. 639 00:33:09,680 --> 00:33:12,760 Speaker 1: I weren't for this, but yeah, I think this is 640 00:33:13,080 --> 00:33:15,760 Speaker 1: so interesting. And the fact that he, of course Blum 641 00:33:15,840 --> 00:33:17,960 Speaker 1: had to pounce on this, I'm sure it was like 642 00:33:18,600 --> 00:33:20,920 Speaker 1: a gift for him. Yeah, I must take this. 643 00:33:21,520 --> 00:33:23,160 Speaker 4: He was like, ooh, I was looking for a way 644 00:33:23,160 --> 00:33:25,360 Speaker 4: to spread my hater vibes and yeah, I'm sure that 645 00:33:25,400 --> 00:33:28,120 Speaker 4: Supreme Court ruling and now this lands this gift lands 646 00:33:28,120 --> 00:33:28,880 Speaker 4: on my inbo. 647 00:33:28,760 --> 00:33:31,400 Speaker 1: And also makes me stronger, stronger than the woman who's complaining. 648 00:33:31,720 --> 00:33:45,560 Speaker 4: Exactly, So, Blum is using what he has called quote 649 00:33:45,600 --> 00:33:48,800 Speaker 4: the shoe on the other foot test. The rhetorical strategy 650 00:33:48,840 --> 00:33:52,000 Speaker 4: that he asked himself is if a grant program funded 651 00:33:52,160 --> 00:33:56,440 Speaker 4: white male business owners wouldn't be considered fair. But that test, 652 00:33:56,600 --> 00:33:59,680 Speaker 4: like you were saying, Sam, really assumes that we're all 653 00:33:59,720 --> 00:34:03,000 Speaker 4: equal will and all have equal access, which the data 654 00:34:03,440 --> 00:34:06,640 Speaker 4: could not paint a clearer picture about the fact that that. 655 00:34:06,640 --> 00:34:07,480 Speaker 5: Is not happening. 656 00:34:08,480 --> 00:34:11,000 Speaker 4: Black women are the fastest rising group of entrepreneurs in 657 00:34:11,040 --> 00:34:13,840 Speaker 4: the country. According to the Harvard Business Review in the US, 658 00:34:14,080 --> 00:34:16,560 Speaker 4: an astounding seventeen percent of Black women are in the 659 00:34:16,600 --> 00:34:19,000 Speaker 4: process of starting or running a new business. That's compared 660 00:34:19,000 --> 00:34:21,040 Speaker 4: to just ten percent of white women and fifteen percent 661 00:34:21,080 --> 00:34:24,800 Speaker 4: of white men. Yet, despite this lead, only three percent 662 00:34:24,840 --> 00:34:26,719 Speaker 4: of women are running mature businesses. 663 00:34:27,160 --> 00:34:30,200 Speaker 5: Why well, One big reason is access to capital. 664 00:34:30,440 --> 00:34:33,120 Speaker 4: Harvard Business Reviews research found that sixty one percent of 665 00:34:33,120 --> 00:34:36,080 Speaker 4: Black women self fund their total startup capital. This is 666 00:34:36,080 --> 00:34:38,600 Speaker 4: in spite of the fact that, in their finding, only 667 00:34:38,640 --> 00:34:41,200 Speaker 4: twenty nine percent of Black women entrepreneurs live in households 668 00:34:41,239 --> 00:34:44,359 Speaker 4: with incomes over seventy five thousand dollars, compared to fifty 669 00:34:44,400 --> 00:34:47,880 Speaker 4: two percent of white men. This data is also combined 670 00:34:47,880 --> 00:34:50,360 Speaker 4: with data suggesting that Black women are less likely to 671 00:34:50,400 --> 00:34:53,120 Speaker 4: own our own homes, pick on a higher level of 672 00:34:53,120 --> 00:34:55,440 Speaker 4: debt to do things like go to college and are 673 00:34:55,480 --> 00:34:58,520 Speaker 4: often like saddled with debt to go to college, right, 674 00:34:58,560 --> 00:35:02,600 Speaker 4: and so ultimately that leaves us saddled with more debt 675 00:35:02,880 --> 00:35:07,960 Speaker 4: and having fewer personal resources and low collateral. Black entrepreneurs 676 00:35:08,000 --> 00:35:11,240 Speaker 4: typically receive less than two percent of all venture capital 677 00:35:11,280 --> 00:35:14,640 Speaker 4: dollars each year, while companies led by black women receive 678 00:35:15,000 --> 00:35:17,480 Speaker 4: less than one percent of all funding. 679 00:35:17,680 --> 00:35:18,960 Speaker 5: This is according to Crunchbase. 680 00:35:19,360 --> 00:35:24,080 Speaker 4: So yeah, the funding landscape is not great for black women. 681 00:35:24,400 --> 00:35:27,759 Speaker 4: Less than one percent of funding goes to us, and 682 00:35:28,239 --> 00:35:30,879 Speaker 4: so the fact that we already don't get that much, 683 00:35:30,960 --> 00:35:35,680 Speaker 4: that there are grants and investment funds specifically aimed at 684 00:35:36,280 --> 00:35:40,600 Speaker 4: shifting those numbers just a tiny bit, like the Fearless Fund, 685 00:35:40,920 --> 00:35:42,520 Speaker 4: and that people are saying, no, we need to go 686 00:35:42,600 --> 00:35:45,280 Speaker 4: for that too, that less than one percent. 687 00:35:44,920 --> 00:35:47,520 Speaker 5: That goes to y'all that needs to go to us. Now. 688 00:35:47,760 --> 00:35:50,440 Speaker 4: In twenty twenty, Pew found that just three percent of 689 00:35:50,520 --> 00:35:53,759 Speaker 4: US businesses were black owned, while eighty six percent were 690 00:35:53,760 --> 00:35:57,399 Speaker 4: white owned. And so, yeah, as I said, like, as 691 00:35:57,400 --> 00:36:02,920 Speaker 4: an entrepreneur, this these kind of dismal numbers completely aligned 692 00:36:02,960 --> 00:36:06,120 Speaker 4: with my own experiences trying to raise money for projects 693 00:36:06,120 --> 00:36:08,560 Speaker 4: that I want to do. There's just not a lot 694 00:36:08,600 --> 00:36:13,839 Speaker 4: out there, and you really have to stay focused and 695 00:36:13,880 --> 00:36:17,240 Speaker 4: stay positive and not really let that sort of numbers 696 00:36:17,280 --> 00:36:19,239 Speaker 4: around how dismal things can be kind of get in 697 00:36:19,280 --> 00:36:21,239 Speaker 4: your head. But then on top of it, when you 698 00:36:21,320 --> 00:36:24,080 Speaker 4: have people like Blum and these women that he's representing 699 00:36:24,160 --> 00:36:27,120 Speaker 4: in this case, to challenge these funds, to challenge what 700 00:36:27,160 --> 00:36:29,759 Speaker 4: little is out there for black entrepreneurs who are women, 701 00:36:30,040 --> 00:36:33,719 Speaker 4: it's hard to internalize that as anything other than they 702 00:36:33,719 --> 00:36:34,480 Speaker 4: don't want us here. 703 00:36:34,560 --> 00:36:36,200 Speaker 5: They don't want us to have anything, you know. 704 00:36:36,800 --> 00:36:43,560 Speaker 2: Yeah, absolutely, And it's so frustrating too, because a lot 705 00:36:43,560 --> 00:36:50,280 Speaker 2: of companies like to act like they are supporting marginalized people, 706 00:36:50,560 --> 00:36:54,000 Speaker 2: they are supporting black people, and they make these like 707 00:36:54,040 --> 00:37:00,399 Speaker 2: outward promises and then just don't really follow through with them. 708 00:37:00,480 --> 00:37:03,200 Speaker 4: Yeah, y'all might remember or be thinking like I thought 709 00:37:03,239 --> 00:37:07,160 Speaker 4: in twenty twenty, like after all the racial justice uprisings, 710 00:37:07,200 --> 00:37:08,960 Speaker 4: I'm the wake of the murder of George Floyd, I 711 00:37:08,960 --> 00:37:11,359 Speaker 4: thought that all these businesses and funds and grants were 712 00:37:11,400 --> 00:37:15,799 Speaker 4: like going to start funding more diverse people and like 713 00:37:16,160 --> 00:37:19,520 Speaker 4: having a more inclusive portfolio. While I remember all those 714 00:37:19,520 --> 00:37:23,600 Speaker 4: promises too, businesses committed three hundred and forty billion dollars 715 00:37:24,120 --> 00:37:27,440 Speaker 4: between May twenty twenty and October twenty twenty two, according 716 00:37:27,480 --> 00:37:31,120 Speaker 4: to McKenzie, and the Post also reports that investments swelled 717 00:37:31,120 --> 00:37:34,160 Speaker 4: in the startup world. A record five point one billion 718 00:37:34,200 --> 00:37:36,920 Speaker 4: dollars in funding was allocated to black founded startups in 719 00:37:36,960 --> 00:37:37,920 Speaker 4: twenty twenty one. 720 00:37:38,200 --> 00:37:39,120 Speaker 5: That sounds like a lot. 721 00:37:39,560 --> 00:37:43,920 Speaker 4: However, all of that interest and excitement and commitment pretty 722 00:37:44,000 --> 00:37:48,240 Speaker 4: much eroded very quickly, with funding for black founded startups 723 00:37:48,280 --> 00:37:52,600 Speaker 4: plunging fifty percent in twenty twenty two. So remember this 724 00:37:52,640 --> 00:37:55,680 Speaker 4: is all happening against the pendulum kind of swinging back 725 00:37:55,760 --> 00:37:58,720 Speaker 4: the other way where all of these corporate diversity efforts 726 00:37:58,719 --> 00:38:02,520 Speaker 4: became a political lightning rod, and these employers just sort 727 00:38:02,560 --> 00:38:04,920 Speaker 4: of backpedaled, right, And so I think that that's where 728 00:38:04,920 --> 00:38:07,799 Speaker 4: we're at now, where in twenty twenty people talked a 729 00:38:07,800 --> 00:38:10,359 Speaker 4: lot of big games about money they were gonna give 730 00:38:10,400 --> 00:38:11,120 Speaker 4: and funds. 731 00:38:10,840 --> 00:38:12,799 Speaker 5: They were gonna give, and how they were gonna you know, 732 00:38:12,840 --> 00:38:15,440 Speaker 5: support inclusive people. 733 00:38:15,120 --> 00:38:17,640 Speaker 4: And startups and YadA, YadA, YadA, and all of those 734 00:38:17,640 --> 00:38:20,600 Speaker 4: promises just fizzled out, right, And I think that we're 735 00:38:20,640 --> 00:38:23,480 Speaker 4: sort of seeing, I would argue, like a backlash to 736 00:38:23,520 --> 00:38:28,160 Speaker 4: that now where diversity and inclusion staffers are being let go. 737 00:38:28,640 --> 00:38:32,600 Speaker 4: I think like recently, Chick fil A just like happened 738 00:38:32,600 --> 00:38:35,960 Speaker 4: to have a diversity and inclusion person on their staff, 739 00:38:36,000 --> 00:38:39,600 Speaker 4: and like there was a flurry of like online protests 740 00:38:39,640 --> 00:38:42,960 Speaker 4: because of that. Like just having somebody thinking about that 741 00:38:42,960 --> 00:38:46,000 Speaker 4: on staff is now a lightning rod. And so obviously, 742 00:38:46,040 --> 00:38:49,600 Speaker 4: in that kind of climate, these organizations are not going 743 00:38:49,640 --> 00:38:53,120 Speaker 4: to be funding black women, even though they committed to it, 744 00:38:53,200 --> 00:38:54,800 Speaker 4: even though it seemed like that was there was a 745 00:38:54,840 --> 00:38:56,839 Speaker 4: lot of excitement around that, Like, yeah, I just think 746 00:38:56,840 --> 00:38:57,359 Speaker 4: that we're in a. 747 00:38:57,280 --> 00:38:58,839 Speaker 5: Completely different landscape than me we were. 748 00:38:58,760 --> 00:39:01,960 Speaker 1: In twenty twenty. This is definitely that whole level of 749 00:39:02,239 --> 00:39:05,399 Speaker 1: they want good publicity, but they're not going to follow through. 750 00:39:05,440 --> 00:39:09,160 Speaker 1: It's the black square. Let me pretend like I care, 751 00:39:09,280 --> 00:39:12,439 Speaker 1: and at the very least I'll be like, hey, let's 752 00:39:12,440 --> 00:39:14,759 Speaker 1: tell the black people in the story. Like that's That's 753 00:39:14,920 --> 00:39:18,680 Speaker 1: as far as their their actual actions went was putting 754 00:39:18,680 --> 00:39:21,840 Speaker 1: something on Instagram that they obviously deleted soon after because 755 00:39:21,880 --> 00:39:24,520 Speaker 1: they wanted to look okay for one group of people. 756 00:39:24,719 --> 00:39:26,400 Speaker 1: And I found that interesting that people are mad at 757 00:39:26,480 --> 00:39:29,560 Speaker 1: Chick fil A because it's like they're anti LGBTQ plus 758 00:39:29,640 --> 00:39:31,360 Speaker 1: so that's not enough for you. They need to be 759 00:39:31,440 --> 00:39:34,080 Speaker 1: racist and all of these things be in lune enough 760 00:39:34,200 --> 00:39:36,720 Speaker 1: for us to support you. You better be super super 761 00:39:36,840 --> 00:39:41,000 Speaker 1: racist and super super homophobic in order for the conservatives. 762 00:39:41,000 --> 00:39:44,600 Speaker 1: You can hate everyone except for white sis people. If not, 763 00:39:45,080 --> 00:39:47,560 Speaker 1: we're not gonna support you, even if your chicken is okay. 764 00:39:47,760 --> 00:39:50,440 Speaker 4: So it and like this is a little like unrelated, 765 00:39:50,480 --> 00:39:53,680 Speaker 4: but like I think that with a lot of these people. 766 00:39:53,719 --> 00:39:55,200 Speaker 4: The Chick fil A example that you just gave is 767 00:39:55,200 --> 00:39:58,719 Speaker 4: a great example. A lot of these people like just 768 00:39:58,760 --> 00:40:02,200 Speaker 4: they'll find anything to be aggrieved about. Like you know, 769 00:40:02,280 --> 00:40:07,440 Speaker 4: I saw like Cracker Barrel was adding plant based sausage 770 00:40:07,440 --> 00:40:10,359 Speaker 4: to their menu and people were like plant based sausage. 771 00:40:10,600 --> 00:40:12,399 Speaker 4: I'm not gonna shop at Cracker Barrel and I'm never 772 00:40:12,400 --> 00:40:14,479 Speaker 4: gonna go to Cracker Barrel again. And it's like they're 773 00:40:14,480 --> 00:40:16,480 Speaker 4: not taking regular sausage off the menu. 774 00:40:16,600 --> 00:40:19,160 Speaker 5: You don't have to order it. 775 00:40:18,080 --> 00:40:20,279 Speaker 4: Just because they're putting food on the menu that like 776 00:40:20,360 --> 00:40:22,040 Speaker 4: someone else might like, that's not you. 777 00:40:22,160 --> 00:40:27,080 Speaker 5: That's cause for upset. And so another thing I wanted. 778 00:40:26,840 --> 00:40:28,600 Speaker 4: To say about your point, Sam, is that there's a 779 00:40:28,640 --> 00:40:32,080 Speaker 4: makeup company Tart they got in hot Water earlier this 780 00:40:32,160 --> 00:40:35,399 Speaker 4: year because they were doing these brand trips that looked 781 00:40:36,000 --> 00:40:37,320 Speaker 4: as if they were. 782 00:40:37,760 --> 00:40:40,319 Speaker 5: Not being inclusive of black influencers. 783 00:40:40,320 --> 00:40:42,560 Speaker 4: That they were asking black influencers like after the fact 784 00:40:42,600 --> 00:40:45,759 Speaker 4: to come and like giving them substandard accommodations and all 785 00:40:45,760 --> 00:40:49,200 Speaker 4: of that. And somebody found that in twenty twenty, you know, 786 00:40:49,239 --> 00:40:52,279 Speaker 4: they when they posted their black Square, this company was like, 787 00:40:52,440 --> 00:40:55,920 Speaker 4: we pledged that we're going to be more inclusive and 788 00:40:55,960 --> 00:40:58,960 Speaker 4: give more, do more partnerships with black and brown models, 789 00:40:58,960 --> 00:41:02,279 Speaker 4: and blah blah blah, and then they quietly removed that 790 00:41:02,360 --> 00:41:05,360 Speaker 4: from their website, but somebody found it on the wayback machine. 791 00:41:05,360 --> 00:41:08,520 Speaker 4: It was like, oh, let's get to update on all 792 00:41:08,560 --> 00:41:11,520 Speaker 4: of these like very specific commitments that you made. And 793 00:41:11,600 --> 00:41:13,440 Speaker 4: it turns out that they basically just like didn't do 794 00:41:13,520 --> 00:41:17,480 Speaker 4: any of that stuff. But the thing is, nobody put 795 00:41:17,520 --> 00:41:20,319 Speaker 4: a gun to your head and forced you to make 796 00:41:20,360 --> 00:41:24,440 Speaker 4: these commitments. You made these commitments and just to quietly 797 00:41:24,480 --> 00:41:27,719 Speaker 4: be like mm just kidding, like that doesn't sit right 798 00:41:27,760 --> 00:41:29,920 Speaker 4: with me, Like nobody told you to do this. Nobody 799 00:41:29,920 --> 00:41:31,839 Speaker 4: told you to post a black square. You did it, 800 00:41:31,880 --> 00:41:35,520 Speaker 4: you volunteered to do it. So when people expect a 801 00:41:35,520 --> 00:41:39,120 Speaker 4: little follow through, that should be that should be a given. 802 00:41:39,400 --> 00:41:43,640 Speaker 2: Yeah, And I I think about this a lot too. 803 00:41:44,480 --> 00:41:47,200 Speaker 2: We talked about this with a lot of the like 804 00:41:47,239 --> 00:41:49,279 Speaker 2: what happened with blood Light, what happened with Target, And 805 00:41:49,320 --> 00:41:51,920 Speaker 2: you know, then they just backtrack and make everyone angry. 806 00:41:51,960 --> 00:41:56,719 Speaker 2: But is I feel like there's a fundamental misunderstanding of 807 00:41:57,280 --> 00:41:59,600 Speaker 2: in this case, what it's like to be a transperson, 808 00:41:59,719 --> 00:42:01,440 Speaker 2: and then when they get like a little taste of 809 00:42:01,480 --> 00:42:05,960 Speaker 2: that the company, it's like, oh my god, oh never mind, 810 00:42:06,719 --> 00:42:10,880 Speaker 2: Like they can't even just for that one second, like 811 00:42:10,920 --> 00:42:15,080 Speaker 2: if they get this online hate that the cause, the person, 812 00:42:15,680 --> 00:42:19,200 Speaker 2: the community they're saying they support, gets, they get it, 813 00:42:19,719 --> 00:42:21,480 Speaker 2: and then they're like, never mind, Actually. 814 00:42:21,719 --> 00:42:24,400 Speaker 3: Can they have that privilege, that right. 815 00:42:24,320 --> 00:42:28,600 Speaker 2: That ability to step out and be like, Okay, I 816 00:42:28,600 --> 00:42:31,120 Speaker 2: don't want to deal with this anymore, which I think 817 00:42:31,200 --> 00:42:37,439 Speaker 2: is just very telling of ignorance and just like a oh, sure, 818 00:42:37,480 --> 00:42:39,160 Speaker 2: let's do this, and then they get that hate and 819 00:42:39,200 --> 00:42:40,760 Speaker 2: they're like, oh, oh never mind. 820 00:42:41,280 --> 00:42:43,239 Speaker 3: Yeah, backtracking. 821 00:42:43,360 --> 00:42:46,160 Speaker 4: That Dylan mulvaney thing that you just mentioned, the thing 822 00:42:46,239 --> 00:42:50,480 Speaker 4: that I will never be over is that Dylan mulvany 823 00:42:50,840 --> 00:42:54,640 Speaker 4: when she left social media at the height of all 824 00:42:54,680 --> 00:42:58,239 Speaker 4: of this and came back and made that video, said 825 00:42:58,239 --> 00:43:02,200 Speaker 4: that nobody at bud Light even called her to be like, hey, 826 00:43:02,239 --> 00:43:04,160 Speaker 4: are you all right, Like I'm seeing what's going on. 827 00:43:05,160 --> 00:43:07,640 Speaker 4: I that is something that will stick with me forever. 828 00:43:08,360 --> 00:43:12,880 Speaker 4: That this brand, because she said, happened to say yes 829 00:43:13,200 --> 00:43:16,160 Speaker 4: when asked to do a brand collaboration with bud Light, 830 00:43:16,760 --> 00:43:19,480 Speaker 4: she was had to go dark, had to probably go 831 00:43:19,560 --> 00:43:24,440 Speaker 4: into hiding, like was the target of very severe attacks, 832 00:43:24,920 --> 00:43:27,719 Speaker 4: and that bud Light, the company who came to her 833 00:43:28,040 --> 00:43:30,759 Speaker 4: to bring her into this, couldn't even follow up with 834 00:43:30,800 --> 00:43:33,120 Speaker 4: an email when they saw all of this happening. 835 00:43:33,239 --> 00:43:34,960 Speaker 5: How quickly they abandoned her. 836 00:43:35,400 --> 00:43:37,920 Speaker 4: And I feel like if you are a brand or 837 00:43:37,920 --> 00:43:41,879 Speaker 4: an institution who is working with marginalized people, if you're 838 00:43:41,920 --> 00:43:44,600 Speaker 4: not going to stand by them when this stuff kind 839 00:43:44,600 --> 00:43:48,200 Speaker 4: of stuff happens and when they get into situations that 840 00:43:48,280 --> 00:43:50,360 Speaker 4: really like you have put them in. But by offering 841 00:43:50,400 --> 00:43:53,520 Speaker 4: them this, you know, these partnerships, that's just not how 842 00:43:53,600 --> 00:43:56,160 Speaker 4: you engage people like that. Like, at a certain point, 843 00:43:56,160 --> 00:43:59,600 Speaker 4: it's like, I understand that bud Light is a corporation, 844 00:43:59,680 --> 00:44:02,439 Speaker 4: and I don't expect corporations to like care about any 845 00:44:02,480 --> 00:44:07,319 Speaker 4: of us, certainly not marginalized people, but the people who 846 00:44:07,400 --> 00:44:12,520 Speaker 4: run bud Lights marketing or influencer partnerships should really be 847 00:44:12,560 --> 00:44:14,399 Speaker 4: taking a good, hard look in the mirror, because that's 848 00:44:14,440 --> 00:44:17,200 Speaker 4: just like a failure of like how to be a 849 00:44:17,280 --> 00:44:18,160 Speaker 4: human to each other. 850 00:44:18,360 --> 00:44:20,880 Speaker 5: Like, I like that just sticks with me. 851 00:44:20,920 --> 00:44:23,000 Speaker 4: I could not believe that she said that that nobody 852 00:44:23,040 --> 00:44:24,880 Speaker 4: even ever reached out to her after they just like 853 00:44:24,960 --> 00:44:28,560 Speaker 4: dropped her and never ever followed up again. 854 00:44:29,320 --> 00:44:32,920 Speaker 3: Yeah, and that's going back to your point. 855 00:44:33,400 --> 00:44:35,920 Speaker 2: You know, companies are not big companies, especially you're not 856 00:44:36,440 --> 00:44:39,719 Speaker 2: you're not allies, and we shouldn't think of them that way. 857 00:44:39,760 --> 00:44:40,240 Speaker 1: But they. 858 00:44:41,800 --> 00:44:45,480 Speaker 2: If they posted the black Square, if they take these stands, 859 00:44:45,520 --> 00:44:48,479 Speaker 2: if they say they're going to do something, then yeah, 860 00:44:48,480 --> 00:44:53,120 Speaker 2: they should absolutely be held accountable. That's just backing away 861 00:44:53,320 --> 00:44:55,839 Speaker 2: and causing real harm. We were telling you a. 862 00:44:55,840 --> 00:44:59,640 Speaker 3: Story before we started this out of nowhere. 863 00:44:59,680 --> 00:45:04,280 Speaker 2: Some will bought that up and like making these things 864 00:45:04,360 --> 00:45:09,640 Speaker 2: so politicized that just to have a diversity inclusion person 865 00:45:09,680 --> 00:45:14,879 Speaker 2: at your company becomes oh well, then hate, like all 866 00:45:14,920 --> 00:45:19,279 Speaker 2: of this hate, like you keep saying, it's irresponsible and 867 00:45:19,320 --> 00:45:22,760 Speaker 2: it's not taking into account like the reality of working 868 00:45:22,800 --> 00:45:23,520 Speaker 2: with these groups. 869 00:45:23,640 --> 00:45:26,879 Speaker 5: Yeah, I think that's ultimately what these people want. 870 00:45:27,040 --> 00:45:30,360 Speaker 4: I think that they want just working with a trans 871 00:45:30,400 --> 00:45:33,080 Speaker 4: woman to be a lightning rod. 872 00:45:33,280 --> 00:45:35,640 Speaker 5: She's not saying anything untoward, she's not. 873 00:45:35,680 --> 00:45:39,040 Speaker 4: Doing anything untoward, she just is because her existence is 874 00:45:39,040 --> 00:45:39,719 Speaker 4: a lightning rod. 875 00:45:40,000 --> 00:45:41,520 Speaker 5: Her existence is politicized. 876 00:45:41,760 --> 00:45:45,880 Speaker 4: I think just having a DEI person, just providing a 877 00:45:45,920 --> 00:45:49,200 Speaker 4: grant for black women, they want that to be toxic. 878 00:45:49,360 --> 00:45:51,279 Speaker 4: They want people to know that if you do that, 879 00:45:51,600 --> 00:45:54,640 Speaker 4: you might be in court, you might you know, be 880 00:45:55,280 --> 00:45:58,600 Speaker 4: targeted for a hate campaign, and so to just make 881 00:45:58,640 --> 00:46:01,799 Speaker 4: it not and that anybody would want to risk. And 882 00:46:01,840 --> 00:46:06,640 Speaker 4: these companies are so spineless that they're going along with it. 883 00:46:06,640 --> 00:46:08,920 Speaker 4: It's that they're being held hostage, and they're just like, okay, well, 884 00:46:08,920 --> 00:46:10,680 Speaker 4: they don't want us to. 885 00:46:12,160 --> 00:46:13,200 Speaker 5: Have the chicken sausage. 886 00:46:13,200 --> 00:46:15,440 Speaker 4: They don't want anybody who doesn't eat sausage to be 887 00:46:15,719 --> 00:46:17,120 Speaker 4: bad at our restaurants. 888 00:46:16,719 --> 00:46:17,560 Speaker 5: So okay, we'll drop. 889 00:46:17,640 --> 00:46:20,400 Speaker 4: Actually, Cracker Barrel did stand by their sausage choices, I 890 00:46:20,400 --> 00:46:20,880 Speaker 4: will say that. 891 00:46:20,960 --> 00:46:22,440 Speaker 5: But yeah, I. 892 00:46:23,960 --> 00:46:27,120 Speaker 4: Have been surprised by how these big, huge corporations just 893 00:46:27,239 --> 00:46:30,719 Speaker 4: cowtow to people who are not serious, people who are 894 00:46:30,760 --> 00:46:34,640 Speaker 4: just interested in flexing their power, their political power for 895 00:46:34,680 --> 00:46:35,400 Speaker 4: no real reason. 896 00:46:35,840 --> 00:46:39,520 Speaker 1: I mean absolutely, we see all of these things. Actually 897 00:46:39,600 --> 00:46:43,160 Speaker 1: hurting people. They don't even want to be the face 898 00:46:43,200 --> 00:46:47,320 Speaker 1: of anything. They just want to exist. Funds like Fearless 899 00:46:47,320 --> 00:46:50,319 Speaker 1: fund is to exist and to help and lift up 900 00:46:50,480 --> 00:46:53,160 Speaker 1: people that they know need lifting up. The same thing 901 00:46:53,160 --> 00:46:56,080 Speaker 1: with Target when they had the small businesses with the 902 00:46:56,200 --> 00:47:00,560 Speaker 1: LGBTQ queer content and then taking them off the like, 903 00:47:00,640 --> 00:47:03,840 Speaker 1: we we were just existing and feeling like we wanted 904 00:47:03,840 --> 00:47:06,359 Speaker 1: to be the representation that no one else is willing 905 00:47:06,400 --> 00:47:09,120 Speaker 1: to look at or see or stand behind. And you 906 00:47:09,360 --> 00:47:12,879 Speaker 1: literally came after them, taking away their money, taking away 907 00:47:12,920 --> 00:47:17,480 Speaker 1: their existence, causing harm because again the mulvany thing, she 908 00:47:17,719 --> 00:47:20,799 Speaker 1: was just holding a beer. Yeah, she said, I like 909 00:47:20,880 --> 00:47:23,440 Speaker 1: bud Light. Simple, why can't she choose to do that? 910 00:47:23,480 --> 00:47:25,520 Speaker 1: And that ended up being a thing of like, well, 911 00:47:25,600 --> 00:47:28,080 Speaker 1: she is hurting the beer industry and she is doing 912 00:47:28,120 --> 00:47:33,000 Speaker 1: these things. No, she's just existing with a product that 913 00:47:33,040 --> 00:47:36,080 Speaker 1: they sent her. They're not like giving her fifty percent 914 00:47:36,120 --> 00:47:39,320 Speaker 1: of the shares of bud Light. Like that's what is happening. 915 00:47:39,520 --> 00:47:42,560 Speaker 1: Like this whole level of like what people are having 916 00:47:42,600 --> 00:47:44,359 Speaker 1: to do and they're having to come back and being 917 00:47:44,520 --> 00:47:46,760 Speaker 1: like instead of existing, we have to fight for our 918 00:47:46,840 --> 00:47:51,000 Speaker 1: place to exist. And that's such an absurd ideal, like 919 00:47:51,120 --> 00:48:01,120 Speaker 1: the fact that this has to be done. 920 00:48:03,239 --> 00:48:06,200 Speaker 4: So this is what Tony Morrison says about racism, and 921 00:48:06,239 --> 00:48:07,760 Speaker 4: I think it fits to all of what you're saying. 922 00:48:08,160 --> 00:48:11,520 Speaker 4: The function, the very serious function of racism is distraction. 923 00:48:11,880 --> 00:48:13,880 Speaker 4: It keeps you from doing your work. It keeps you 924 00:48:13,960 --> 00:48:17,160 Speaker 4: explaining over and over again your reason for being. Somebody 925 00:48:17,160 --> 00:48:19,239 Speaker 4: says you have no language, and you spend twenty years 926 00:48:19,239 --> 00:48:21,359 Speaker 4: trying to prove that you do. Somebody says your head 927 00:48:21,400 --> 00:48:23,920 Speaker 4: isn't shaped properly, so you have scientists working on the 928 00:48:23,920 --> 00:48:25,640 Speaker 4: fact that it is. Somebody says you have no art, 929 00:48:25,719 --> 00:48:28,160 Speaker 4: so you dredge that up. Somebody says you have no kingdom, 930 00:48:28,239 --> 00:48:30,480 Speaker 4: so you dredge that up. None of this is necessary. 931 00:48:30,520 --> 00:48:33,520 Speaker 4: There will always be one more thing. So like that 932 00:48:33,880 --> 00:48:36,840 Speaker 4: quote really speaks to what I think is happening. 933 00:48:37,239 --> 00:48:38,640 Speaker 5: You know, the Fearless Fund. 934 00:48:38,880 --> 00:48:41,719 Speaker 4: The stats that I just read about black women entrepreneurs 935 00:48:41,719 --> 00:48:42,560 Speaker 4: and how little of. 936 00:48:42,520 --> 00:48:43,880 Speaker 5: The funding we get. 937 00:48:44,320 --> 00:48:47,120 Speaker 4: It shows that the women who are running the Fearless Fund, 938 00:48:47,360 --> 00:48:48,560 Speaker 4: they have work to do. 939 00:48:48,680 --> 00:48:51,080 Speaker 5: They have serious work to do to. 940 00:48:51,200 --> 00:48:54,200 Speaker 4: Right the wrong and to bake a little more equity 941 00:48:54,280 --> 00:48:57,400 Speaker 4: into the funding landscape. So they don't really have time 942 00:48:57,800 --> 00:49:01,319 Speaker 4: to play around with these legal challenges. But yet here 943 00:49:01,360 --> 00:49:04,040 Speaker 4: they are having to spend their money, money that could 944 00:49:04,120 --> 00:49:08,160 Speaker 4: go to the funding landscape, staffing up a legal team, 945 00:49:08,360 --> 00:49:10,279 Speaker 4: holding press conferences. 946 00:49:09,960 --> 00:49:10,520 Speaker 5: All of this. 947 00:49:10,920 --> 00:49:13,799 Speaker 4: It is such a distraction at a time when marginalized 948 00:49:13,800 --> 00:49:17,480 Speaker 4: people have real work to be doing. Fearless fun is 949 00:49:17,680 --> 00:49:18,319 Speaker 4: fighting back. 950 00:49:18,360 --> 00:49:19,040 Speaker 5: They have a. 951 00:49:18,920 --> 00:49:24,480 Speaker 4: Beefy legal team including the NAACP Legal Defense Fund, Gibson Dunn, Crutcher, 952 00:49:24,520 --> 00:49:27,560 Speaker 4: and Ben Crump, the attorney who represented families of George 953 00:49:27,560 --> 00:49:30,560 Speaker 4: Floyd and Tyree Nichols in their civil suits over the 954 00:49:30,600 --> 00:49:32,920 Speaker 4: men's killing out the hands of the police. And I 955 00:49:33,000 --> 00:49:34,960 Speaker 4: feel confident like these women are like. 956 00:49:35,080 --> 00:49:38,040 Speaker 5: Bad as women. They are not going down without a fight. 957 00:49:38,560 --> 00:49:41,439 Speaker 4: But also they shouldn't have to, right Like they should 958 00:49:41,480 --> 00:49:44,680 Speaker 4: be able to just do their work and focus on 959 00:49:44,960 --> 00:49:47,840 Speaker 4: that work, and they should not have to be spending 960 00:49:47,880 --> 00:49:51,520 Speaker 4: their money on these bogus legal challenges just because they 961 00:49:51,520 --> 00:49:53,799 Speaker 4: want to exist, just because they want to support other 962 00:49:53,880 --> 00:49:54,440 Speaker 4: black women. 963 00:49:54,600 --> 00:49:57,759 Speaker 1: And I find that again we're in this situation that 964 00:49:58,040 --> 00:49:59,800 Speaker 1: black women are the ones that have to be the 965 00:49:59,840 --> 00:50:02,280 Speaker 1: one to fight like they don't want to. They're tired, 966 00:50:02,320 --> 00:50:04,640 Speaker 1: they've been doing this and now we're back again, because 967 00:50:04,719 --> 00:50:06,560 Speaker 1: we know there's a lot and I know there's a 968 00:50:06,600 --> 00:50:10,560 Speaker 1: lot of fun specifically to women, like point blank women, 969 00:50:10,800 --> 00:50:12,680 Speaker 1: and they surely didn't have to go enough after them. 970 00:50:12,719 --> 00:50:14,480 Speaker 1: And I bet they were denied some of those and 971 00:50:14,520 --> 00:50:17,240 Speaker 1: they're probably better at that. But yet if they didn't, 972 00:50:18,080 --> 00:50:20,480 Speaker 1: that seems silly and that seems very targeted. Yeah, so 973 00:50:20,520 --> 00:50:23,520 Speaker 1: that's very telling. Uh, But like it again, it has 974 00:50:23,560 --> 00:50:25,400 Speaker 1: to be the black women that has to put up 975 00:50:25,400 --> 00:50:28,000 Speaker 1: this fight in order to get anything done. 976 00:50:28,080 --> 00:50:30,239 Speaker 4: I mean, tail as old as time, right, and I 977 00:50:30,239 --> 00:50:33,360 Speaker 4: think right. I'm worried about this for a couple of reasons. 978 00:50:33,400 --> 00:50:36,440 Speaker 4: One is that I think that if these grants and 979 00:50:36,520 --> 00:50:39,640 Speaker 4: funds that specifically are meant to boost black women entrepreneurs 980 00:50:39,719 --> 00:50:43,600 Speaker 4: are deemed unconstitutional, I really don't know what the landscape 981 00:50:43,680 --> 00:50:46,120 Speaker 4: is going to look like because, as I said, like already, 982 00:50:46,520 --> 00:50:48,719 Speaker 4: so little of that funding goes to us in the 983 00:50:48,719 --> 00:50:49,240 Speaker 4: first place. 984 00:50:49,600 --> 00:50:51,719 Speaker 5: But further, one of the reasons I wanted to talk 985 00:50:51,760 --> 00:50:53,200 Speaker 5: about it on the show today is. 986 00:50:53,120 --> 00:50:56,240 Speaker 4: That I don't think it's getting near the same amount 987 00:50:56,280 --> 00:51:00,560 Speaker 4: of traction and attention that Blums affirmative action Chot just did. 988 00:51:01,000 --> 00:51:05,200 Speaker 4: And I really think that we need to see white 989 00:51:05,239 --> 00:51:10,280 Speaker 4: male and white women and really everybody in the startup space. 990 00:51:10,360 --> 00:51:13,640 Speaker 4: We need to see vcs and entrepreneurs speaking up about this, 991 00:51:13,719 --> 00:51:17,600 Speaker 4: because Blum is essentially arguing that the startup space should 992 00:51:17,640 --> 00:51:18,480 Speaker 4: basically just. 993 00:51:18,520 --> 00:51:21,279 Speaker 5: Be for white people. And I think it's up. 994 00:51:21,160 --> 00:51:23,880 Speaker 4: To everybody in the space to push back and say, like, 995 00:51:24,000 --> 00:51:26,000 Speaker 4: that is not the kind of funding space that we want, 996 00:51:26,000 --> 00:51:27,960 Speaker 4: That is not the kind of startup space that we want, 997 00:51:28,239 --> 00:51:31,680 Speaker 4: and to really make that really clear, like what kind 998 00:51:31,680 --> 00:51:33,480 Speaker 4: of a space do we want to have for the 999 00:51:33,480 --> 00:51:36,080 Speaker 4: next generation of entrepreneurs. We want to tell them that 1000 00:51:36,239 --> 00:51:38,319 Speaker 4: the tiny little bit that they that might go to 1001 00:51:38,400 --> 00:51:40,759 Speaker 4: them isn't even for them anymore. I don't I don't 1002 00:51:40,760 --> 00:51:42,280 Speaker 4: think that's the space that we want. 1003 00:51:42,239 --> 00:51:46,640 Speaker 1: Right and absolutely in the same space again, this is 1004 00:51:46,680 --> 00:51:50,120 Speaker 1: gonna hurt white women as well and the like if 1005 00:51:50,160 --> 00:51:54,400 Speaker 1: we're saying that all of this is too specific and 1006 00:51:54,440 --> 00:51:57,120 Speaker 1: it leads out other people of race, it's gonna hurt 1007 00:51:57,160 --> 00:51:59,279 Speaker 1: gender as well. So this is not even just for 1008 00:51:59,320 --> 00:52:01,440 Speaker 1: white people. It's be for white men. We're gonna have 1009 00:52:01,440 --> 00:52:04,759 Speaker 1: more elon musks running running programs into the ground, That's 1010 00:52:04,800 --> 00:52:05,880 Speaker 1: what we're gonna ten. 1011 00:52:05,719 --> 00:52:08,400 Speaker 4: Thousand percent, And I mean kind of like what you 1012 00:52:08,440 --> 00:52:11,880 Speaker 4: were alluding to before time and time again in tech, 1013 00:52:12,560 --> 00:52:17,840 Speaker 4: particularly when black women challenge things or do things or 1014 00:52:17,880 --> 00:52:21,480 Speaker 4: start things, they uplift all women. And so even if 1015 00:52:21,520 --> 00:52:27,000 Speaker 4: that specific program is for black women owned businesses, you're 1016 00:52:27,000 --> 00:52:29,400 Speaker 4: gonna tell me that a black woman who is financially 1017 00:52:29,400 --> 00:52:31,000 Speaker 4: supported is not going to go on to do something 1018 00:52:31,000 --> 00:52:33,319 Speaker 4: that's going to lift up all women and all marginalized people. 1019 00:52:33,719 --> 00:52:35,239 Speaker 4: Time and time again we see that that's how it 1020 00:52:35,280 --> 00:52:37,560 Speaker 4: goes with black women. And so yeah, I just think 1021 00:52:37,560 --> 00:52:39,399 Speaker 4: that this is just this is me smacking that ice 1022 00:52:39,440 --> 00:52:41,080 Speaker 4: cream out of my brother's hand when I could have 1023 00:52:41,080 --> 00:52:42,120 Speaker 4: gotten a bit instead. 1024 00:52:43,840 --> 00:52:46,320 Speaker 1: I mean, we already know that people like to still 1025 00:52:46,360 --> 00:52:49,040 Speaker 1: white women's products because it's that good, So why not 1026 00:52:49,160 --> 00:52:52,040 Speaker 1: let us have it? Like, yeah, we're gonna get the 1027 00:52:52,080 --> 00:52:52,920 Speaker 1: good stop this. 1028 00:52:53,920 --> 00:52:57,160 Speaker 4: So I hope this is something that we I'm gonna 1029 00:52:57,160 --> 00:53:00,000 Speaker 4: be following it. I'll give folks updates as they can, 1030 00:53:00,480 --> 00:53:03,279 Speaker 4: but I really want to see more folks in the 1031 00:53:03,320 --> 00:53:06,919 Speaker 4: space speaking up about this, because what the Fearless Fund 1032 00:53:06,920 --> 00:53:10,120 Speaker 4: has done has been really great, and it's they're really 1033 00:53:10,200 --> 00:53:14,520 Speaker 4: like a good force in the space, and I think 1034 00:53:14,520 --> 00:53:16,840 Speaker 4: the day we need them, frankly we need them. 1035 00:53:17,239 --> 00:53:19,040 Speaker 1: We do, and it's it's a drop in the bucket. 1036 00:53:19,080 --> 00:53:22,239 Speaker 1: Let's just be real honest, like it's it's nothing in 1037 00:53:22,239 --> 00:53:26,320 Speaker 1: comparison to what other people get. Essentially, it is like, wow, 1038 00:53:26,400 --> 00:53:28,960 Speaker 1: you really are going after the little groups for nothing, 1039 00:53:29,160 --> 00:53:31,560 Speaker 1: just just to make a point, and obviously to keep 1040 00:53:31,600 --> 00:53:34,360 Speaker 1: that little bit, as you are saying, in your pocket 1041 00:53:34,719 --> 00:53:37,360 Speaker 1: instead of seeing what this is actually could do for 1042 00:53:37,719 --> 00:53:41,160 Speaker 1: entire humanity. Humanity is lost. 1043 00:53:41,360 --> 00:53:45,360 Speaker 2: I'm sorry what Yeah, yeah, And I mean this is 1044 00:53:45,440 --> 00:53:50,759 Speaker 2: very important too because obviously professional litigant blom here like 1045 00:53:51,520 --> 00:53:54,520 Speaker 2: it's going to keep trying and if this succeeds, then 1046 00:53:55,440 --> 00:53:59,400 Speaker 2: it's gonna make things worse for everyone except for a 1047 00:53:59,440 --> 00:54:03,040 Speaker 2: certain people and then easier for him to win the 1048 00:54:03,040 --> 00:54:05,799 Speaker 2: next thing and the next thing. So yes, this is 1049 00:54:05,800 --> 00:54:09,400 Speaker 2: really really important, and thank you as always Bridget for 1050 00:54:09,400 --> 00:54:10,360 Speaker 2: bringing it to us. 1051 00:54:10,480 --> 00:54:13,719 Speaker 4: Oh thank you for having me. Everyone who is listening 1052 00:54:13,760 --> 00:54:15,680 Speaker 4: should go out and buy stuff. I've never told you 1053 00:54:15,719 --> 00:54:16,080 Speaker 4: the book. 1054 00:54:16,200 --> 00:54:17,840 Speaker 5: I'd just bought it. Let's read it together. 1055 00:54:19,280 --> 00:54:23,680 Speaker 2: Yes, yes, we're hoping to do a little crossover. We'll 1056 00:54:23,719 --> 00:54:28,240 Speaker 2: get to go on your show. Yes, Oh I'm so excited. 1057 00:54:28,760 --> 00:54:31,960 Speaker 2: But in the meantime, Bridget, where can the good listeners 1058 00:54:31,960 --> 00:54:32,520 Speaker 2: find you. 1059 00:54:32,520 --> 00:54:34,640 Speaker 5: You can listen to my podcast. There are no girls 1060 00:54:34,680 --> 00:54:35,200 Speaker 5: on the Internet. 1061 00:54:35,239 --> 00:54:37,560 Speaker 4: You can find me on Instagram at bridget Marie and 1062 00:54:37,640 --> 00:54:39,839 Speaker 4: DC or on Twitter at Bridget Marie and you can 1063 00:54:39,840 --> 00:54:42,040 Speaker 4: find me on TikTok at Bridget makes podcasts. 1064 00:54:42,400 --> 00:54:46,239 Speaker 3: Yes, and we really do. You appreciate your support with 1065 00:54:46,280 --> 00:54:48,719 Speaker 3: the book. We love it so much. Thank you, Thank 1066 00:54:48,800 --> 00:54:50,320 Speaker 3: you having you on as always. 1067 00:54:51,239 --> 00:54:55,080 Speaker 2: Feeling is so mutual, so listeners, if you would like 1068 00:54:55,120 --> 00:54:58,160 Speaker 2: to contact us, you can our emails Stephanie Moomstuff at 1069 00:54:58,200 --> 00:55:00,319 Speaker 2: iHeartMedia dot com. You can find us on at mom 1070 00:55:00,400 --> 00:55:02,360 Speaker 2: Stuff podcast or on Instagram at TikTok at stuff. 1071 00:55:02,400 --> 00:55:03,160 Speaker 3: I never told you. 1072 00:55:03,680 --> 00:55:05,640 Speaker 2: We have a tea public store and we yeah, we 1073 00:55:05,680 --> 00:55:07,720 Speaker 2: have a book forget it stuff. 1074 00:55:07,719 --> 00:55:09,040 Speaker 3: We should read books dot com. 1075 00:55:09,280 --> 00:55:12,240 Speaker 2: Thanks as always to our super producer Christina, our executive 1076 00:55:12,239 --> 00:55:15,440 Speaker 2: producer Maya, and our contributor Joey. Thank you and thanks 1077 00:55:15,440 --> 00:55:17,479 Speaker 2: to you for listening. Steffan Neber Told you is production 1078 00:55:17,520 --> 00:55:19,319 Speaker 2: of I Heart Radio. For more podcasts on my heart Radio, 1079 00:55:19,360 --> 00:55:21,200 Speaker 2: you can check out the heart Radio app Apple Podcasts, 1080 00:55:21,280 --> 00:55:22,960 Speaker 2: or if you listen to your favorite shows,