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