1 00:00:05,559 --> 00:00:22,639 Speaker 1: Sure everything, Uh, all right, here we go. We're in 2 00:00:22,680 --> 00:00:25,320 Speaker 1: the building. We finally made it happen. Ladies and gentlemen. 3 00:00:25,400 --> 00:00:28,880 Speaker 1: Miss bridget Todd say, what's up everybody? What's up everybody. 4 00:00:28,920 --> 00:00:31,760 Speaker 1: I'm so excited to be here. Thank you for having me. Yeah, 5 00:00:32,200 --> 00:00:36,159 Speaker 1: this is gonna be a special show. Uh tried to 6 00:00:36,200 --> 00:00:40,040 Speaker 1: schedule a few times. Bridget was hella busy out at 7 00:00:40,080 --> 00:00:43,000 Speaker 1: south By? You know what I'm saying, making boss moves? 8 00:00:44,159 --> 00:00:46,800 Speaker 1: How was that? Like? How was south By? It was good. 9 00:00:47,080 --> 00:00:50,239 Speaker 1: I've been a couple of times. It was good. I 10 00:00:50,280 --> 00:00:51,879 Speaker 1: will have to say. The thing that I thought was 11 00:00:51,920 --> 00:00:55,520 Speaker 1: the best experience was seeing all the different you know, 12 00:00:56,160 --> 00:01:00,880 Speaker 1: reproductive freedom activists and advocates and like trans advocates and 13 00:01:00,960 --> 00:01:04,720 Speaker 1: activists who were really taking up space for themselves in 14 00:01:04,800 --> 00:01:07,600 Speaker 1: a state like Texas. Um So, that was definitely the 15 00:01:07,640 --> 00:01:09,480 Speaker 1: best part of the experience was seeing how many of 16 00:01:09,480 --> 00:01:12,920 Speaker 1: those folks just really came there and took up space 17 00:01:13,040 --> 00:01:15,320 Speaker 1: and made their voices heard. So it was a great time. 18 00:01:15,600 --> 00:01:19,000 Speaker 1: That's dough man. I know, like my experiences first out, 19 00:01:19,080 --> 00:01:21,160 Speaker 1: like I always I'm an artists. I always went that 20 00:01:21,280 --> 00:01:22,800 Speaker 1: last week, you know what I mean. I never got 21 00:01:22,840 --> 00:01:25,040 Speaker 1: to go to any of the like tech or like 22 00:01:25,120 --> 00:01:27,399 Speaker 1: film or any of the other stuff. You know. So 23 00:01:27,560 --> 00:01:31,160 Speaker 1: like my experience always with South Buy is like I'm exhausted, 24 00:01:32,160 --> 00:01:35,240 Speaker 1: you know. I stayed up too late. I went to 25 00:01:35,319 --> 00:01:37,800 Speaker 1: things that I didn't need to go to. You know. 26 00:01:38,120 --> 00:01:41,080 Speaker 1: I was like trying my best to you know. You 27 00:01:41,080 --> 00:01:43,720 Speaker 1: you you rush in and carrying DJ equipment to like 28 00:01:44,720 --> 00:01:49,320 Speaker 1: four different locations and you're just rapping to other rappers. 29 00:01:49,520 --> 00:01:54,200 Speaker 1: And I I guess that was dope, But I'm never 30 00:01:54,280 --> 00:01:56,480 Speaker 1: sad I was there, you know what I'm saying. Yeah, 31 00:01:56,600 --> 00:01:58,720 Speaker 1: so this is the difference between your work and my 32 00:01:58,800 --> 00:02:02,000 Speaker 1: work and our experiences. I'm always there really early for 33 00:02:02,080 --> 00:02:05,360 Speaker 1: the nerdy stuff, you know, like like here's a panel 34 00:02:05,400 --> 00:02:08,520 Speaker 1: on climate, or like here's a talk about education, and 35 00:02:08,560 --> 00:02:11,320 Speaker 1: I usually am gone for the actual fun stuff that 36 00:02:11,360 --> 00:02:13,760 Speaker 1: people actually want to see, the music and the performances. 37 00:02:14,160 --> 00:02:16,680 Speaker 1: One day I will be able to go and stick 38 00:02:16,680 --> 00:02:20,920 Speaker 1: around to actually see something, to see you, And one 39 00:02:21,000 --> 00:02:22,680 Speaker 1: day I'm gonna do the other way around. I'm like, yo, 40 00:02:22,720 --> 00:02:24,720 Speaker 1: I'm gonna go to the like grown up stuff man, 41 00:02:24,760 --> 00:02:27,760 Speaker 1: where I'm just not like sweating all night, you know, 42 00:02:27,840 --> 00:02:30,840 Speaker 1: holding a trillion mixtapes. You know what I'm saying like 43 00:02:31,160 --> 00:02:33,560 Speaker 1: this that would be i feel like a much better 44 00:02:33,600 --> 00:02:37,600 Speaker 1: experience at this point. I'm like unless like like Rolling 45 00:02:37,639 --> 00:02:40,760 Speaker 1: Stones themselves are like, yo, we want you to headline, 46 00:02:40,800 --> 00:02:44,720 Speaker 1: and I'm I'm not going because like it is so 47 00:02:44,840 --> 00:02:47,240 Speaker 1: hard as an artist there if you don't have like 48 00:02:47,240 --> 00:02:51,960 Speaker 1: a really good showcase, it's so hard. But when you go, 49 00:02:52,240 --> 00:02:53,960 Speaker 1: have you gone with a part of as part of 50 00:02:53,960 --> 00:02:55,359 Speaker 1: a team, do you have a crew with you or 51 00:02:55,440 --> 00:02:58,920 Speaker 1: you go you go with like usually like the game 52 00:02:58,960 --> 00:03:00,760 Speaker 1: for artists, funny says nothing to do what we're gonna 53 00:03:00,760 --> 00:03:02,520 Speaker 1: talk about This is a hood politics podcast, but we'll 54 00:03:02,520 --> 00:03:06,800 Speaker 1: get to that in a second. Usually go like you 55 00:03:06,800 --> 00:03:09,840 Speaker 1: get one good showcase that will be like this is 56 00:03:09,880 --> 00:03:14,000 Speaker 1: worth the plane ticket, you know, and all of the 57 00:03:14,080 --> 00:03:16,640 Speaker 1: hustle to get around, and then as you're there, then 58 00:03:16,680 --> 00:03:19,040 Speaker 1: you start sort of like politicking and networking to see 59 00:03:19,040 --> 00:03:21,800 Speaker 1: if you could get on other things. But when you 60 00:03:21,880 --> 00:03:26,519 Speaker 1: do come, if it's a good showcase, then yeah, you're 61 00:03:26,560 --> 00:03:29,600 Speaker 1: bringing like you know, your sound guy, your manager, you 62 00:03:29,600 --> 00:03:32,920 Speaker 1: know your DJ, your drummer or whatever you got um, 63 00:03:32,960 --> 00:03:36,080 Speaker 1: but you're you're legit, like like yo, you on your own, 64 00:03:36,280 --> 00:03:38,320 Speaker 1: you know what I'm saying, Like you're footing it down 65 00:03:38,320 --> 00:03:40,640 Speaker 1: six streets the whole time. You know, you don't bring 66 00:03:40,720 --> 00:03:43,880 Speaker 1: merch because it's like no one's buying merch, you know, 67 00:03:43,920 --> 00:03:46,640 Speaker 1: I'm saying, like that's not why they'd air. You're you're you're, 68 00:03:46,680 --> 00:03:48,360 Speaker 1: you're paying for everything out of pocket, you know what 69 00:03:48,360 --> 00:03:50,480 Speaker 1: I'm saying. So it's like it's not like a regular 70 00:03:50,520 --> 00:03:52,640 Speaker 1: tour date where you could like go out and make money. 71 00:03:52,640 --> 00:03:55,160 Speaker 1: And then what's crazy is like the last few times 72 00:03:55,160 --> 00:03:57,720 Speaker 1: with south By, they a lot of the like the 73 00:03:57,800 --> 00:04:00,760 Speaker 1: stage managers are sound people, they're volunteer, you know what 74 00:04:00,760 --> 00:04:02,720 Speaker 1: I'm saying, So they don't really know what they're doing, 75 00:04:03,280 --> 00:04:07,040 Speaker 1: you know, And it's like depending on again the quality 76 00:04:07,080 --> 00:04:09,440 Speaker 1: of your showcase. You got a lot of like you know, 77 00:04:09,520 --> 00:04:12,720 Speaker 1: struggle rappers who are like I think they're more amazing 78 00:04:12,760 --> 00:04:14,560 Speaker 1: than they are, so they showing up late, you know 79 00:04:14,600 --> 00:04:16,640 Speaker 1: what I'm saying. So the whole schedule, you're trying to 80 00:04:16,680 --> 00:04:19,360 Speaker 1: be professional. You're like, yo, I'm on an eleven, so 81 00:04:19,440 --> 00:04:22,880 Speaker 1: I'm here at you know, ten, ten, fifteen, Like you 82 00:04:22,960 --> 00:04:24,320 Speaker 1: know what I'm saying. Here plug in, I have my 83 00:04:24,320 --> 00:04:26,200 Speaker 1: own mike, you know what I'm saying. The last one, 84 00:04:26,240 --> 00:04:29,040 Speaker 1: the last one I did. The sound person that they 85 00:04:29,040 --> 00:04:33,520 Speaker 1: had at our venue like, uh was I want to say, 86 00:04:33,600 --> 00:04:37,680 Speaker 1: like Eastern European, like from like a Slavic region, and 87 00:04:37,760 --> 00:04:41,320 Speaker 1: just didn't speak English. And it was like, I'm glad 88 00:04:41,360 --> 00:04:45,360 Speaker 1: you're there. That's dope. I love I like y'o, like 89 00:04:45,440 --> 00:04:48,599 Speaker 1: I honor that hustle to get yourself to South south By, 90 00:04:49,120 --> 00:04:51,760 Speaker 1: you know what I'm saying. But you running the stage 91 00:04:52,839 --> 00:04:55,960 Speaker 1: and I'm like, hey, I can't hear the monitor and 92 00:04:56,040 --> 00:04:58,279 Speaker 1: she was She was like it's good, and I'm like, no, no, 93 00:04:58,960 --> 00:05:01,120 Speaker 1: you know, the MIC's not out. The the MIC's not 94 00:05:01,200 --> 00:05:03,520 Speaker 1: coming out. The monitor had no idea what I was saying. 95 00:05:04,560 --> 00:05:06,560 Speaker 1: So I'm looking, I'm like, yo, the sound person don't 96 00:05:06,560 --> 00:05:09,280 Speaker 1: speak I think I don't think the sound person speak English. 97 00:05:09,320 --> 00:05:11,279 Speaker 1: And the dude that was running was like, yeah, I know, man, 98 00:05:11,360 --> 00:05:13,960 Speaker 1: So just you just gotta do your best. I was like, yeah, dog, 99 00:05:14,000 --> 00:05:17,920 Speaker 1: I'm not I'm not doing this game. Yeah, it's definitely 100 00:05:17,920 --> 00:05:21,160 Speaker 1: a lot of do your best energy. Definitely how I 101 00:05:21,200 --> 00:05:25,440 Speaker 1: would describe it. Yes, that's perfect, but it's but then 102 00:05:25,480 --> 00:05:27,720 Speaker 1: you leave and you're like, I'm so glad I did 103 00:05:27,720 --> 00:05:29,440 Speaker 1: that. That That was so fun. I met so many dope people. 104 00:05:29,480 --> 00:05:32,960 Speaker 1: It's like, anyway, we're all over the place. Welcome to 105 00:05:33,040 --> 00:05:37,240 Speaker 1: her politics. Bridget you have a show called Tell Everybody 106 00:05:37,240 --> 00:05:39,200 Speaker 1: what's the show is called? My show was called There 107 00:05:39,240 --> 00:05:41,480 Speaker 1: Are No Girls on the Internet, and it's a podcast 108 00:05:41,480 --> 00:05:46,760 Speaker 1: about technology, the Internet, identity, culture, underrepresented voices, and all 109 00:05:46,760 --> 00:05:49,719 Speaker 1: of that fun stuff. That's so it's such a clever 110 00:05:50,600 --> 00:05:53,360 Speaker 1: title because when I first heard it, I was like, 111 00:05:53,760 --> 00:05:58,000 Speaker 1: what do you say? Really? You know what I'm saying, 112 00:05:58,040 --> 00:06:00,000 Speaker 1: It's like, it's like this never INDI it's almost like 113 00:06:00,080 --> 00:06:04,400 Speaker 1: the White Supremacy Project, where it's like there's never it's 114 00:06:04,440 --> 00:06:08,200 Speaker 1: a never ending black hole of areas where that's affected 115 00:06:08,200 --> 00:06:11,600 Speaker 1: our life, you know what I'm saying. So when when 116 00:06:11,640 --> 00:06:15,000 Speaker 1: it comes to like, you know, gender issues me as 117 00:06:15,120 --> 00:06:18,000 Speaker 1: as a as like a cis gender male, Like, I 118 00:06:18,080 --> 00:06:21,520 Speaker 1: keep falling more into that black hole of like what 119 00:06:21,520 --> 00:06:22,880 Speaker 1: do you mean there's no girls? I was like, is 120 00:06:22,920 --> 00:06:29,520 Speaker 1: that yet another place that that equipment at bien subject? 121 00:06:29,560 --> 00:06:32,480 Speaker 1: Are you serious there too? You know I'm saying so 122 00:06:32,520 --> 00:06:36,159 Speaker 1: that really by experience, by hearing that title, Yeah, I'm 123 00:06:36,160 --> 00:06:37,520 Speaker 1: so glad to hear you say this. I get a 124 00:06:37,520 --> 00:06:39,880 Speaker 1: lot of questions about the title, and you really just 125 00:06:40,200 --> 00:06:43,400 Speaker 1: perfectly summarized why I picked that title, even though it 126 00:06:43,440 --> 00:06:45,120 Speaker 1: is a mouthful. Every time I type it, I'm like, 127 00:06:45,160 --> 00:06:46,880 Speaker 1: oh God, why did I pick such a long time 128 00:06:47,240 --> 00:06:51,320 Speaker 1: her podcast? But yeah, I think, you know, seeing seeing 129 00:06:51,360 --> 00:06:55,719 Speaker 1: the ways that traditionally marginalized people are um continue to 130 00:06:55,839 --> 00:06:59,920 Speaker 1: be uh you know, oppressed and sort of not really 131 00:07:00,040 --> 00:07:04,359 Speaker 1: letting our voices shine through. It completely crosses over onto 132 00:07:04,360 --> 00:07:07,400 Speaker 1: the Internet, onto other technical realms, and so I just 133 00:07:07,480 --> 00:07:09,680 Speaker 1: really wanted to But the thing is, I know that 134 00:07:09,720 --> 00:07:13,520 Speaker 1: it's traditionally marginalized people, women, queer folks, transports, black folks 135 00:07:13,920 --> 00:07:16,480 Speaker 1: who are actually doing such amazing things on the Internet. 136 00:07:16,480 --> 00:07:18,800 Speaker 1: So it doesn't really make sense then that our voices 137 00:07:18,840 --> 00:07:23,000 Speaker 1: and our stories underrepresented there in this realm that really 138 00:07:23,040 --> 00:07:26,520 Speaker 1: we make so special. That's so true, and that's like, yes, 139 00:07:26,960 --> 00:07:28,840 Speaker 1: like yes, that's what I was gonna say. That's why 140 00:07:28,880 --> 00:07:30,240 Speaker 1: it was such a shock to me because when I 141 00:07:30,280 --> 00:07:33,080 Speaker 1: go and I'm like, it's not like I don't believe you, 142 00:07:33,080 --> 00:07:35,360 Speaker 1: you know what I'm saying. I'm like, you know, like, 143 00:07:35,400 --> 00:07:37,840 Speaker 1: oh wow, okay, teach me something. But in the same 144 00:07:37,880 --> 00:07:42,720 Speaker 1: way that like, you know, because we're in those marginalized communities, 145 00:07:42,760 --> 00:07:46,040 Speaker 1: because I know I know hundreds of black people in tech. 146 00:07:46,520 --> 00:07:49,040 Speaker 1: You don't say, I know, I don't hundreds of women. 147 00:07:49,120 --> 00:07:51,920 Speaker 1: I know hundreds of queer folks that are doing you know, 148 00:07:52,040 --> 00:07:56,920 Speaker 1: epic ship that I'm like, you just realize, like, oh, 149 00:07:57,080 --> 00:08:02,120 Speaker 1: that's just my world because I am intersectional in the 150 00:08:02,160 --> 00:08:03,760 Speaker 1: way that I live my life, you know I'm saying. 151 00:08:03,800 --> 00:08:07,160 Speaker 1: So I'm like, I'm around all these intersections that you 152 00:08:07,320 --> 00:08:09,880 Speaker 1: just you'd be forgetting, you know what I'm saying, Like, 153 00:08:10,200 --> 00:08:12,120 Speaker 1: you'll be forgetting everybody else saying that, you know, when 154 00:08:12,120 --> 00:08:16,040 Speaker 1: people little things like for example, like you know, I'm 155 00:08:16,080 --> 00:08:19,239 Speaker 1: from l A. I'm like, I grew up in South 156 00:08:19,280 --> 00:08:23,640 Speaker 1: Central and surrounding areas. So I'm like, I can't think 157 00:08:23,640 --> 00:08:27,120 Speaker 1: of any sort of marginalized like ethnic group that hasn't 158 00:08:27,160 --> 00:08:31,040 Speaker 1: stratified every socio economic class, you know what I'm saying, 159 00:08:31,200 --> 00:08:34,600 Speaker 1: because that's just the way we lived. I was like, 160 00:08:34,800 --> 00:08:40,680 Speaker 1: my principle in high school was queer. My boss Jo saying, 161 00:08:40,720 --> 00:08:43,840 Speaker 1: it's like, so you just have this like this A 162 00:08:43,840 --> 00:08:48,120 Speaker 1: lot of times for me, it's like I find myself 163 00:08:48,200 --> 00:08:51,200 Speaker 1: having to even though I live in the spaces as 164 00:08:51,240 --> 00:08:54,480 Speaker 1: a marginalized person, but involved with other marginalized people I 165 00:08:54,520 --> 00:08:58,160 Speaker 1: need to be reminded sometimes that like my world, just 166 00:08:58,200 --> 00:09:01,280 Speaker 1: because I live with y'all don't necessarily mean I really 167 00:09:01,360 --> 00:09:05,160 Speaker 1: understand everybody else's experience as they leave sort of the 168 00:09:05,240 --> 00:09:08,479 Speaker 1: safe spaces we all exist in. You know what I'm saying, absolutely, 169 00:09:08,480 --> 00:09:10,320 Speaker 1: And I think the thing that you the comparison you 170 00:09:10,400 --> 00:09:13,880 Speaker 1: made about California, I think really tracks with my experience 171 00:09:13,960 --> 00:09:16,760 Speaker 1: is because I've been in some level of tech or 172 00:09:16,800 --> 00:09:19,719 Speaker 1: tech adjacent for most of my adult life, and in 173 00:09:19,760 --> 00:09:22,080 Speaker 1: all of that work, the people who I've been working 174 00:09:22,120 --> 00:09:25,239 Speaker 1: with are black folks, brown folks, queer folks, you know, transpolkes, 175 00:09:25,280 --> 00:09:28,320 Speaker 1: all of that. And so when you look around and 176 00:09:28,360 --> 00:09:31,520 Speaker 1: you see who gets elevated, whose voices gets amplified, whose 177 00:09:31,520 --> 00:09:35,880 Speaker 1: project gets funding, or whatever, those people are all white, 178 00:09:36,320 --> 00:09:40,240 Speaker 1: cis gender heterosexual men. That's a choice. That's not because 179 00:09:40,559 --> 00:09:45,320 Speaker 1: there's that's it's not there exactly exactly. Somebody has made 180 00:09:45,320 --> 00:09:49,120 Speaker 1: a deliberate choice, and that's why you're not seeing us bang, 181 00:09:49,760 --> 00:09:52,000 Speaker 1: which actually leads us to what I want to talk 182 00:09:52,040 --> 00:09:55,200 Speaker 1: about today. I want to talk about the art of 183 00:09:55,320 --> 00:10:08,800 Speaker 1: Captain Captain cap cap cap cap cap cap cap cap, 184 00:10:10,559 --> 00:10:13,880 Speaker 1: and I feel like there was nobody better like I 185 00:10:14,040 --> 00:10:17,600 Speaker 1: almost did this by myself, but I was like, nah, nah, 186 00:10:17,679 --> 00:10:22,000 Speaker 1: there's nobody better to talk about this situation than this 187 00:10:22,200 --> 00:10:25,920 Speaker 1: bridget here. So first of all, for the folks, if 188 00:10:25,960 --> 00:10:27,800 Speaker 1: you don't know, let's me and you come up with 189 00:10:27,880 --> 00:10:30,120 Speaker 1: like a working definition of what we mean by CAP. 190 00:10:31,760 --> 00:10:33,400 Speaker 1: I don't know if people have heard that before, like 191 00:10:33,880 --> 00:10:36,600 Speaker 1: he capping all that's cap, you know, and you start 192 00:10:36,679 --> 00:10:38,280 Speaker 1: playing with it, you know, black folks, I will start 193 00:10:38,320 --> 00:10:40,840 Speaker 1: playing with it like, oh, that's Captain Crunch, that's Captain America. 194 00:10:40,880 --> 00:10:42,240 Speaker 1: You know what I'm saying. You know what I'm saying, 195 00:10:42,320 --> 00:10:45,319 Speaker 1: Captain Marvel like which just everything is cat. Right. So 196 00:10:46,679 --> 00:10:48,720 Speaker 1: if you were to put a working definition on CAP, 197 00:10:48,880 --> 00:10:51,880 Speaker 1: what do you what would you define that as? And 198 00:10:51,960 --> 00:10:55,640 Speaker 1: no urban dictionary people like, let's let's talk. I would 199 00:10:55,720 --> 00:10:59,360 Speaker 1: define CAP or cap in as lying as you know, 200 00:10:59,760 --> 00:11:03,079 Speaker 1: it's to saying something that's not true, deliberately that you 201 00:11:03,320 --> 00:11:07,000 Speaker 1: know is not true. Boom. That's part of the thing 202 00:11:07,080 --> 00:11:09,880 Speaker 1: is you have to know it's not true, right if 203 00:11:10,040 --> 00:11:13,400 Speaker 1: or or if not, then you're just misinformed. But like, 204 00:11:13,920 --> 00:11:16,760 Speaker 1: if you cap in like you notice is not true, 205 00:11:16,800 --> 00:11:20,480 Speaker 1: what do you think the purpose of CAP is? Oh? God, 206 00:11:20,520 --> 00:11:23,520 Speaker 1: I mean it can be anything, right, so the majority. 207 00:11:23,600 --> 00:11:26,080 Speaker 1: So in my so I should say, in my nine job, 208 00:11:26,480 --> 00:11:30,160 Speaker 1: I research and study disinformation and misinformation. And so the 209 00:11:30,280 --> 00:11:33,640 Speaker 1: definition that you just gave is perfect because the working 210 00:11:33,720 --> 00:11:37,640 Speaker 1: definition of disinformation to somebody who is lying on purpose 211 00:11:37,760 --> 00:11:41,120 Speaker 1: to deceive, misinformation to somebody who they're not trying to 212 00:11:41,200 --> 00:11:42,959 Speaker 1: mislead you, they're just saying something that's not true and 213 00:11:43,000 --> 00:11:45,679 Speaker 1: they don't realize it. And so we have seen some 214 00:11:45,880 --> 00:11:49,000 Speaker 1: of the reasons why people cap The biggest one I 215 00:11:49,040 --> 00:11:50,559 Speaker 1: would have to say that I see over and over 216 00:11:50,600 --> 00:11:55,240 Speaker 1: again is for some kind of personal game, so personal gain. 217 00:11:55,360 --> 00:11:58,439 Speaker 1: So just scamming, right, just like I'm going to say 218 00:11:58,520 --> 00:12:01,640 Speaker 1: something that's not true because it's going to at me money, notoriety, 219 00:12:01,800 --> 00:12:04,319 Speaker 1: more fame, more attention. You know, even if you're not 220 00:12:04,400 --> 00:12:07,760 Speaker 1: a disinformation researcher, you know a scam when you see one, right, 221 00:12:08,000 --> 00:12:11,319 Speaker 1: you know, we all know what a scammer looks like. Yes, exactly. 222 00:12:11,880 --> 00:12:17,440 Speaker 1: And I am sitting across the zoom from I feel 223 00:12:17,520 --> 00:12:22,280 Speaker 1: like God has blessed the specific part of our species, 224 00:12:22,679 --> 00:12:29,280 Speaker 1: the black woman, with the greatest cap radar of anybody 225 00:12:29,400 --> 00:12:31,679 Speaker 1: on earth. Like I don't know anybody that can like 226 00:12:32,240 --> 00:12:36,520 Speaker 1: suss out some cap better than black women. Oh my gosh, 227 00:12:36,600 --> 00:12:39,400 Speaker 1: I'm so. I mean, it's true, right, It's absolutely true. 228 00:12:39,400 --> 00:12:42,600 Speaker 1: And and in on the podcast, we have covered story 229 00:12:42,679 --> 00:12:46,480 Speaker 1: after story of somebody is lying, somebody is pretending to 230 00:12:46,520 --> 00:12:48,480 Speaker 1: be somebody they're not, and nine times out of ten 231 00:12:48,760 --> 00:12:50,760 Speaker 1: and it is a black woman who is sniffing an 232 00:12:50,800 --> 00:12:53,520 Speaker 1: albit like, I'm not so sure about this. I don't 233 00:12:53,600 --> 00:12:56,360 Speaker 1: sit right exactly, you know what I'm saying. I don't 234 00:12:56,360 --> 00:12:58,520 Speaker 1: own a little little little sussed. I don't sit right. 235 00:12:59,160 --> 00:13:03,839 Speaker 1: Uh So in your personal or professional whatever one you're 236 00:13:03,840 --> 00:13:08,960 Speaker 1: more comfortable with, like I am positive out, I would 237 00:13:09,000 --> 00:13:12,760 Speaker 1: willing to bet money that you have been in scenarios 238 00:13:12,840 --> 00:13:16,679 Speaker 1: whether it was directly to you or you're sitting adjacent 239 00:13:16,800 --> 00:13:19,959 Speaker 1: to someone in some sort of meeting that is just 240 00:13:21,320 --> 00:13:29,719 Speaker 1: is just the most like mid mediocre person, just like 241 00:13:30,920 --> 00:13:37,960 Speaker 1: spitting some of the most ridiculous absurd like is anybody 242 00:13:39,240 --> 00:13:41,880 Speaker 1: is anybody actually believe in this stuff? And then it 243 00:13:42,040 --> 00:13:46,200 Speaker 1: may and then sometimes I'm a work right, So if 244 00:13:46,240 --> 00:13:49,800 Speaker 1: you can, you know, try to dig into the archives, 245 00:13:49,960 --> 00:13:54,000 Speaker 1: like think of the one or two of the most 246 00:13:54,120 --> 00:13:58,000 Speaker 1: absurd like moments personal or professional where somebody was just 247 00:13:58,120 --> 00:14:00,319 Speaker 1: capping either to you or around you, that you just like, 248 00:14:00,840 --> 00:14:03,719 Speaker 1: is this full for real? Oh my gosh, how much 249 00:14:03,840 --> 00:14:07,599 Speaker 1: time do you have? I mean, I think that's the 250 00:14:07,720 --> 00:14:10,880 Speaker 1: thing about being in tech and tech adjacent. I have 251 00:14:10,920 --> 00:14:12,959 Speaker 1: had to sit through a lot of conversations with somebody 252 00:14:13,000 --> 00:14:15,400 Speaker 1: who I knew was lying to my face and it 253 00:14:15,559 --> 00:14:17,319 Speaker 1: wasn't or or it wasn't even clear to me that 254 00:14:17,400 --> 00:14:19,680 Speaker 1: they knew they were lying. So much of tech is 255 00:14:19,720 --> 00:14:23,760 Speaker 1: people believing their own hype ego, you know, fake it 256 00:14:23,840 --> 00:14:25,560 Speaker 1: till you make it kind of thing, you know, I 257 00:14:25,600 --> 00:14:27,760 Speaker 1: would to the biggest one that I that I personally 258 00:14:27,800 --> 00:14:31,520 Speaker 1: have witnessed is people, usually white men, who have some 259 00:14:31,760 --> 00:14:34,080 Speaker 1: kind of a product that they are selling, that they 260 00:14:34,320 --> 00:14:36,840 Speaker 1: are pitching as this is going to be the thing 261 00:14:36,960 --> 00:14:39,440 Speaker 1: that saves the Internet, that fixes the Internet, that makes 262 00:14:39,560 --> 00:14:42,120 Speaker 1: the internet, you know, a better place to be, a 263 00:14:42,200 --> 00:14:46,160 Speaker 1: more honest place, and you know, it's just half of 264 00:14:46,240 --> 00:14:49,760 Speaker 1: them are just sort of low key scams. And the 265 00:14:49,920 --> 00:14:55,840 Speaker 1: way that people talk about these ventures it's almost sort 266 00:14:55,840 --> 00:14:57,960 Speaker 1: of impressive because it's like, Wow, you really have a 267 00:14:58,120 --> 00:15:02,000 Speaker 1: confidence about about this thing that I am pretty sure 268 00:15:02,280 --> 00:15:05,880 Speaker 1: is it's like mostly bullshit. Yeah. I was like, you've 269 00:15:06,040 --> 00:15:10,800 Speaker 1: you've you've worked out maybe none of the coding is done, 270 00:15:11,280 --> 00:15:13,960 Speaker 1: like and I know it's not because I could tell 271 00:15:14,000 --> 00:15:16,760 Speaker 1: by the terms you're using exactly. And I think that, 272 00:15:16,920 --> 00:15:19,400 Speaker 1: like that's one of the reasons why right now, you 273 00:15:19,520 --> 00:15:21,400 Speaker 1: see all of the people are sort of obsessed with 274 00:15:21,600 --> 00:15:25,640 Speaker 1: like scams like an adelviv fire festival, because you know, 275 00:15:25,680 --> 00:15:27,680 Speaker 1: I think that we have this weird fine line of 276 00:15:27,800 --> 00:15:31,680 Speaker 1: where where is something just the typical tech company, you know, 277 00:15:32,560 --> 00:15:35,760 Speaker 1: like process of fake until you make it, Like companies 278 00:15:35,760 --> 00:15:37,520 Speaker 1: like Uber they don't make any money, but yet we 279 00:15:37,600 --> 00:15:40,120 Speaker 1: think of them as successful companies. Where is the line 280 00:15:40,160 --> 00:15:43,560 Speaker 1: between that between just the normal things in tech companies 281 00:15:43,680 --> 00:15:46,440 Speaker 1: and an actual scam. I think that that the blurring 282 00:15:46,520 --> 00:15:48,680 Speaker 1: of that line is why we're so sort of fascinated 283 00:15:48,760 --> 00:15:52,360 Speaker 1: by people who really just lie for a living. I 284 00:15:52,400 --> 00:15:54,920 Speaker 1: would love for you to go back and just restate 285 00:15:55,080 --> 00:15:57,840 Speaker 1: what you just slid by so slickly, which was that 286 00:15:58,040 --> 00:16:01,240 Speaker 1: Uber don't make no money. Yeah. Uber does not make 287 00:16:01,400 --> 00:16:04,720 Speaker 1: any money. They have never been a profitable company, which 288 00:16:05,120 --> 00:16:09,560 Speaker 1: when you think about that, yes, yeah, so that's why 289 00:16:09,600 --> 00:16:12,760 Speaker 1: they ain't not trying to like like actually hire these 290 00:16:12,840 --> 00:16:16,200 Speaker 1: people right right exactly, because like, well we're not making 291 00:16:16,240 --> 00:16:21,280 Speaker 1: no money though that yeah, ah, you just you just 292 00:16:21,520 --> 00:16:23,360 Speaker 1: enlighten me on something I never even thought of that 293 00:16:23,560 --> 00:16:26,400 Speaker 1: that like, yeah, how could they They don't own none 294 00:16:26,440 --> 00:16:30,400 Speaker 1: of it. And so I think exactly, and I think 295 00:16:30,480 --> 00:16:35,800 Speaker 1: that where where is the line between between just the 296 00:16:35,920 --> 00:16:40,440 Speaker 1: normal you know, business of tech companies like Uber and 297 00:16:40,680 --> 00:16:47,840 Speaker 1: actual scamming. I'm like, wow, that's crazy. WHOA Okay? So Cap, 298 00:16:48,280 --> 00:16:51,560 Speaker 1: like we said, it's like it's a purposeful lie and 299 00:16:51,760 --> 00:16:56,600 Speaker 1: for our sake, for the sake of Cloud in whatever way, 300 00:16:57,280 --> 00:17:02,840 Speaker 1: whether it's money or fame or our access and anybody, 301 00:17:02,920 --> 00:17:05,040 Speaker 1: Like I said, if you've ever seen a rap video 302 00:17:05,520 --> 00:17:09,240 Speaker 1: or listen to any sort of music, you like, the 303 00:17:09,760 --> 00:17:12,480 Speaker 1: cars are rented, you know, the you know, the jewelry 304 00:17:12,560 --> 00:17:14,960 Speaker 1: is fake. You know what I'm saying. It's it's cap, 305 00:17:15,119 --> 00:17:17,400 Speaker 1: you know what I mean. But but it's like sometimes 306 00:17:17,440 --> 00:17:22,480 Speaker 1: there's like this like sort of understanding that it's part 307 00:17:22,720 --> 00:17:25,359 Speaker 1: of the job, you know what I mean. And in 308 00:17:25,520 --> 00:17:27,080 Speaker 1: a weird like you like you was kind of explaining 309 00:17:27,160 --> 00:17:29,200 Speaker 1: with tech, it's like some of it's like yo, that's 310 00:17:29,240 --> 00:17:30,840 Speaker 1: just part of the game. It is fake until you 311 00:17:30,920 --> 00:17:32,280 Speaker 1: make it. You know what I'm saying, You're not gonna 312 00:17:32,320 --> 00:17:33,520 Speaker 1: run in there and be like, hey, I need you 313 00:17:33,680 --> 00:17:36,480 Speaker 1: to pay me ten million dollars for a half finished product, 314 00:17:37,240 --> 00:17:39,720 Speaker 1: you know, like like no, I have to I'm not 315 00:17:39,760 --> 00:17:41,520 Speaker 1: gonna give you some no, you know what I'm saying. 316 00:17:41,560 --> 00:17:43,560 Speaker 1: It's like, well, I had a cap for a little bit, 317 00:17:43,680 --> 00:17:47,639 Speaker 1: like you know, and use some sort of intentional you know, 318 00:17:47,840 --> 00:17:52,159 Speaker 1: very intuitive, incarnational you know, community building. You gotta do 319 00:17:52,240 --> 00:17:54,960 Speaker 1: the hand thing, you know. I wish I could see 320 00:17:55,000 --> 00:17:58,280 Speaker 1: this lots of gestures, you know, the you know, kind 321 00:17:58,320 --> 00:18:03,080 Speaker 1: of kind of putting things. Yeah, but so like cats 322 00:18:03,119 --> 00:18:32,600 Speaker 1: kind of like part of the game. I think the 323 00:18:32,720 --> 00:18:35,320 Speaker 1: next part I want to do is like, let's talk 324 00:18:35,359 --> 00:18:40,080 Speaker 1: about a couple of different kings of cat and maybe 325 00:18:40,160 --> 00:18:44,320 Speaker 1: we can uh possibly crown the king of cap here. 326 00:18:44,480 --> 00:18:48,480 Speaker 1: Oh my gosh, I'm so excited. Yes, this is. This 327 00:18:48,600 --> 00:18:50,240 Speaker 1: is There's never been a question that I am more 328 00:18:50,760 --> 00:18:53,560 Speaker 1: prepared to answer because I think about this a lot. 329 00:18:53,840 --> 00:19:00,840 Speaker 1: I know you are. So let's I would like Russian 330 00:19:00,880 --> 00:19:03,840 Speaker 1: cap right now, that's in the news, you know, Russian 331 00:19:03,880 --> 00:19:08,880 Speaker 1: TV talking about Ukrainians uh using human shields and then 332 00:19:08,960 --> 00:19:11,520 Speaker 1: not letting nobody else have news shows on a TV. 333 00:19:11,560 --> 00:19:14,119 Speaker 1: It's like, don't yo, don't ask cap you know what 334 00:19:14,119 --> 00:19:18,959 Speaker 1: I'm saying and throwing these like clearly like Trump style, 335 00:19:19,280 --> 00:19:24,600 Speaker 1: like you know, rallies like quote Bible scriptures, which is 336 00:19:25,119 --> 00:19:28,840 Speaker 1: to me probably the most bizarro world thing that I've 337 00:19:28,880 --> 00:19:31,119 Speaker 1: ever seen come out of Russian modern And it's like 338 00:19:31,240 --> 00:19:35,280 Speaker 1: are you did you just just quote the Bible right now? 339 00:19:35,600 --> 00:19:40,280 Speaker 1: Like I was like, I feel like yo, yo, cap 340 00:19:40,359 --> 00:19:44,960 Speaker 1: Wing and the like conservative white evangelical cap Wing needs 341 00:19:45,000 --> 00:19:47,040 Speaker 1: to have a meeting because y'are not on the same 342 00:19:47,119 --> 00:19:50,119 Speaker 1: page no more. Absolutely. I mean I remember I I 343 00:19:50,119 --> 00:19:52,480 Speaker 1: can't remember who it was, but it was some um 344 00:19:52,920 --> 00:19:56,680 Speaker 1: like right wing elected official or person who was like 345 00:19:56,800 --> 00:20:00,040 Speaker 1: running for office who was at the Republican gathering. It 346 00:20:00,080 --> 00:20:03,600 Speaker 1: happened just recently, talking about how she liked Russia because 347 00:20:03,640 --> 00:20:06,080 Speaker 1: they were a Christian nation and all of this. Like 348 00:20:06,359 --> 00:20:10,280 Speaker 1: it was like like what happening? What? Yeah? I was like, 349 00:20:11,600 --> 00:20:15,639 Speaker 1: what is this? When did y'all what? And it's almost 350 00:20:15,720 --> 00:20:18,399 Speaker 1: like that's the part that like blow my mind. I'm like, man, 351 00:20:18,520 --> 00:20:21,680 Speaker 1: y'all can't even keep up with your own stories, because 352 00:20:23,160 --> 00:20:25,520 Speaker 1: number one, it's like, well, they've always had a Russian 353 00:20:25,640 --> 00:20:29,800 Speaker 1: Orthodox Church. So even when you was saying that there 354 00:20:29,920 --> 00:20:33,720 Speaker 1: was a completely godless secular culture. I was like, well, 355 00:20:33,800 --> 00:20:37,480 Speaker 1: they they have their own church. It's just so you're 356 00:20:37,520 --> 00:20:40,440 Speaker 1: already wrong, you know what I'm saying. And then but 357 00:20:40,600 --> 00:20:43,600 Speaker 1: that was y'all's line, and now it's not your line, 358 00:20:43,880 --> 00:20:48,119 Speaker 1: and I'm like, what that's kind It's well, it's one 359 00:20:48,160 --> 00:20:51,720 Speaker 1: of those situations. Do you ever know somebody who scams 360 00:20:51,800 --> 00:20:54,200 Speaker 1: and lies and caps so much they can't even keep 361 00:20:54,240 --> 00:20:56,480 Speaker 1: their own bs straight? Like that's what it is. Where 362 00:20:56,520 --> 00:20:58,600 Speaker 1: it's like, it can't be be some of these things 363 00:20:58,640 --> 00:21:01,680 Speaker 1: contradict each other. They all can't true. Which one is it? Yeah, 364 00:21:01,800 --> 00:21:04,119 Speaker 1: I don't I don't know how y'all like, how are 365 00:21:04,160 --> 00:21:07,639 Speaker 1: y'all okay? And then so then at that point you're 366 00:21:07,680 --> 00:21:09,840 Speaker 1: looking at the rest of the audience like, hey, y'all, 367 00:21:09,880 --> 00:21:15,520 Speaker 1: ain't hear that? Like, well, luckily she was speaking at 368 00:21:15,560 --> 00:21:18,280 Speaker 1: like a Republican um. I can't remember. I want to 369 00:21:18,280 --> 00:21:22,399 Speaker 1: say it was spac or turning qu Luckily for her. 370 00:21:22,480 --> 00:21:24,560 Speaker 1: I don't think anybody in the crowd was really like, 371 00:21:24,840 --> 00:21:29,160 Speaker 1: m let me put on my critical thinking. Happened minute? Yes, 372 00:21:29,440 --> 00:21:35,639 Speaker 1: I was taught my entire life. They were the access 373 00:21:35,800 --> 00:21:40,160 Speaker 1: of evil, y'all saying the picture of everything ungodly that's 374 00:21:40,160 --> 00:21:43,119 Speaker 1: what you told me. They was throughout the entirety of 375 00:21:43,160 --> 00:21:45,720 Speaker 1: my middle school. Now all of a sudden, okay, got you. 376 00:21:46,520 --> 00:21:52,560 Speaker 1: Uh and you you've been doing working in disinformation and 377 00:21:52,720 --> 00:21:56,879 Speaker 1: like you know, troll farms, twitter bots and all this 378 00:21:57,000 --> 00:21:59,560 Speaker 1: such that you know, some of it comes out of 379 00:21:59,560 --> 00:22:02,399 Speaker 1: the Eastern Block, some of it does not. UM that 380 00:22:03,160 --> 00:22:05,800 Speaker 1: I would love to hear you, like like put us 381 00:22:05,840 --> 00:22:09,840 Speaker 1: on game right now on how where that's come from, 382 00:22:10,320 --> 00:22:13,080 Speaker 1: how it's evolved, how it's gotten more sophisticated, and how 383 00:22:13,160 --> 00:22:16,399 Speaker 1: we probably have all fell for it. Oh. I mean 384 00:22:16,520 --> 00:22:19,600 Speaker 1: I work in disinformation for Olympic and I've definitely fallen 385 00:22:19,680 --> 00:22:21,360 Speaker 1: for it. UM. I think I would like to say 386 00:22:21,480 --> 00:22:23,760 Speaker 1: there's sort of two kind of buckets to be thinking 387 00:22:23,840 --> 00:22:27,199 Speaker 1: of this in UM. One is the you know, foreign 388 00:22:27,359 --> 00:22:31,560 Speaker 1: born bad actors who use things like bots and what 389 00:22:31,680 --> 00:22:34,760 Speaker 1: we in authentic accounts to spread confusion on the Internet. 390 00:22:35,040 --> 00:22:38,119 Speaker 1: And then you have you know, domestic bad actors. And 391 00:22:38,240 --> 00:22:41,680 Speaker 1: I think that before the invasion of Ukraine, I think 392 00:22:41,720 --> 00:22:44,959 Speaker 1: that we were focused a lot on you know, foreign 393 00:22:45,320 --> 00:22:47,800 Speaker 1: bad actors meddling on on our on our social media 394 00:22:47,840 --> 00:22:49,840 Speaker 1: platforms and on our elections and things like that to 395 00:22:49,960 --> 00:22:54,320 Speaker 1: the point where we were not not often talking enough 396 00:22:54,320 --> 00:22:57,399 Speaker 1: about sort of domestic bad actors doing the same thing 397 00:22:57,600 --> 00:23:00,280 Speaker 1: or like so, but I think that with the Asian 398 00:23:00,320 --> 00:23:05,200 Speaker 1: of Ukraine, we have you know, renewed a renewed urgency 399 00:23:05,400 --> 00:23:09,199 Speaker 1: around talking about and authentic accounts being driven by by 400 00:23:09,280 --> 00:23:12,719 Speaker 1: foreign actors, and so Russia has a very long history 401 00:23:12,960 --> 00:23:18,240 Speaker 1: of using an authentic accounts too, specifically target black folks 402 00:23:18,320 --> 00:23:20,679 Speaker 1: on social media. One of my favorite episodes I've ever 403 00:23:20,720 --> 00:23:23,480 Speaker 1: done on the podcast is talking to a woman, a 404 00:23:23,520 --> 00:23:26,840 Speaker 1: black woman, Chefika Hudson, who was really among the first 405 00:23:26,880 --> 00:23:30,040 Speaker 1: people to start sniffing out these and authentic accounts. These 406 00:23:30,080 --> 00:23:33,159 Speaker 1: accounts would pretend to be black women. They would they 407 00:23:33,200 --> 00:23:35,240 Speaker 1: would say things, or they would use like a like 408 00:23:35,320 --> 00:23:37,680 Speaker 1: a picture on their Twitter profile of a black woman 409 00:23:37,680 --> 00:23:39,880 Speaker 1: that they just stole from the Internet, and they would 410 00:23:40,280 --> 00:23:45,720 Speaker 1: basically just say outlandish stuff trying to supread confusion and 411 00:23:45,880 --> 00:23:48,440 Speaker 1: chaos and mistrust and so a lot of times what 412 00:23:48,560 --> 00:23:51,399 Speaker 1: you see the ultimate goal of these bad actors is 413 00:23:51,520 --> 00:23:54,720 Speaker 1: to spread mistrust. So like I don't trust you, you 414 00:23:54,760 --> 00:23:57,680 Speaker 1: don't trust me. Neither of us trust institutions or less 415 00:23:57,720 --> 00:24:01,440 Speaker 1: it officials just generally create a vibe of mistrust, and 416 00:24:01,520 --> 00:24:04,640 Speaker 1: so Shouldika huts In. Luckily, as a black woman, really 417 00:24:04,840 --> 00:24:06,800 Speaker 1: was able to snip this out. And the way that 418 00:24:06,920 --> 00:24:09,240 Speaker 1: she was able to snip this out was so genius. 419 00:24:09,680 --> 00:24:12,840 Speaker 1: It was because these accounts would try to mimic the 420 00:24:12,880 --> 00:24:15,520 Speaker 1: way that black women speak but get it crazy wrong. 421 00:24:15,840 --> 00:24:18,240 Speaker 1: They would say things, Yeah, that's what would catch me. 422 00:24:18,359 --> 00:24:19,960 Speaker 1: That's the part that would give me because we don't 423 00:24:20,000 --> 00:24:25,560 Speaker 1: ever refer ourselves as the blacks exactly. Yeah, but whenever 424 00:24:25,600 --> 00:24:29,480 Speaker 1: you ever heard a black person referred to like ourselves, 425 00:24:29,560 --> 00:24:32,440 Speaker 1: our community as v blacks a black never, I've never 426 00:24:32,560 --> 00:24:35,160 Speaker 1: heard that. We've never done that. That that was gonna 427 00:24:35,160 --> 00:24:37,200 Speaker 1: be like, I was gonna say, yo yo first that 428 00:24:37,960 --> 00:24:40,280 Speaker 1: her saying that, because that's used to what happened to me. 429 00:24:40,600 --> 00:24:43,119 Speaker 1: You know, you get these replies and you're looking at 430 00:24:43,160 --> 00:24:45,359 Speaker 1: the profile picture and I'm like, Oh, it's a black dude, 431 00:24:45,600 --> 00:24:47,600 Speaker 1: but I'm listening to him talk and I'm like, oh, 432 00:24:47,720 --> 00:24:50,560 Speaker 1: you're not black at all, homie, like you know, and 433 00:24:50,680 --> 00:24:53,040 Speaker 1: it's like and it's not even on some like listen, 434 00:24:54,119 --> 00:24:56,560 Speaker 1: there's a diversity of thought, you know, you can have 435 00:24:56,680 --> 00:24:59,840 Speaker 1: different political views. Were not a monolith, so I can 436 00:25:00,080 --> 00:25:04,440 Speaker 1: here you know and at least understand a very like 437 00:25:04,600 --> 00:25:10,240 Speaker 1: fiscally conservatives, you know, socially liberal constitutional is black, dude, 438 00:25:10,640 --> 00:25:13,760 Speaker 1: He's still going to talk like a black dude, like 439 00:25:13,960 --> 00:25:16,879 Speaker 1: there is an author that That's the thing. There is 440 00:25:16,920 --> 00:25:19,560 Speaker 1: an authenticity to our experience. There is nothing like we 441 00:25:19,840 --> 00:25:22,040 Speaker 1: the black community, of the black, black and brown folks. 442 00:25:22,200 --> 00:25:25,800 Speaker 1: We are vast, we contain so many, you know, we're 443 00:25:25,880 --> 00:25:27,920 Speaker 1: very multifaceted, and that's one of the parts, one of 444 00:25:27,960 --> 00:25:30,600 Speaker 1: the beautiful parts of our community. But there's still going 445 00:25:30,640 --> 00:25:33,320 Speaker 1: to be an underlying authenticity and right and so I 446 00:25:33,400 --> 00:25:37,800 Speaker 1: think that is I just love how as black women 447 00:25:37,920 --> 00:25:41,399 Speaker 1: identifying these fake accounts that kind of becomes our superpower. 448 00:25:41,520 --> 00:25:46,600 Speaker 1: The ability to see and understand black authentic expression. That 449 00:25:46,800 --> 00:25:49,600 Speaker 1: is something that really saved us and gave us the 450 00:25:49,640 --> 00:25:56,280 Speaker 1: ability to protect our own online communities against bad actors. Yes, yes, facts, 451 00:25:56,880 --> 00:25:59,600 Speaker 1: I love it, dude, and I and I've even experienced 452 00:25:59,640 --> 00:26:04,119 Speaker 1: on my on and somebody that's like what I started 453 00:26:04,359 --> 00:26:08,840 Speaker 1: naming myself as, like overwoke, where it was almost like 454 00:26:08,920 --> 00:26:10,800 Speaker 1: a bad actor on the other end, like you're trying 455 00:26:10,800 --> 00:26:13,320 Speaker 1: to like round me up on some on some like 456 00:26:13,880 --> 00:26:15,720 Speaker 1: my father is a black panther. So I'm like, I 457 00:26:15,760 --> 00:26:20,320 Speaker 1: already know that they've like whatever data they used to mind, 458 00:26:20,440 --> 00:26:22,639 Speaker 1: whatever I am and who I follow and stuff like that. 459 00:26:22,720 --> 00:26:25,080 Speaker 1: You already know, like what terms you're supposed to drop 460 00:26:25,160 --> 00:26:27,040 Speaker 1: on me, you know what I'm saying. And then and 461 00:26:27,119 --> 00:26:29,920 Speaker 1: then the issues for which they're picking up on and 462 00:26:30,680 --> 00:26:33,320 Speaker 1: how angry they are and what And I'm just like, 463 00:26:34,720 --> 00:26:39,480 Speaker 1: because again, like you said, there's an authenticity of the experience, 464 00:26:39,520 --> 00:26:41,840 Speaker 1: because at some point, I'm gonna be like, hey, bro, 465 00:26:42,040 --> 00:26:45,280 Speaker 1: you need to chill, Like you know what I'm saying, Like, hey, fam, 466 00:26:45,720 --> 00:26:49,560 Speaker 1: like listen, listen, happy, thanks taking, I get it, you 467 00:26:49,600 --> 00:26:51,720 Speaker 1: know what I'm saying. Like, we don't celebrate the Pilgrims, 468 00:26:52,240 --> 00:26:55,960 Speaker 1: you know, but these the Kyla Green slap we all 469 00:26:56,040 --> 00:26:59,480 Speaker 1: go home anything we understand. We have this dual consciousness, bro, Like, 470 00:27:00,119 --> 00:27:02,639 Speaker 1: hey fam, Like, yo, chill. You not at your grandma 471 00:27:02,680 --> 00:27:05,480 Speaker 1: house right now? Now? You're not real, do you not? Even? 472 00:27:05,520 --> 00:27:08,199 Speaker 1: You know what I say exactly, And I love how 473 00:27:08,240 --> 00:27:10,840 Speaker 1: you put that. And isn't that dual consciousness, that dual 474 00:27:10,920 --> 00:27:14,520 Speaker 1: experience that is such an authentic part of how all 475 00:27:14,600 --> 00:27:16,560 Speaker 1: of us show up? I feel um? And then I 476 00:27:16,640 --> 00:27:18,320 Speaker 1: just want to say something else to your point about 477 00:27:18,720 --> 00:27:21,280 Speaker 1: you know, these overwoke people who you feel like are 478 00:27:21,280 --> 00:27:23,560 Speaker 1: trying to roll you up. The answer is probably that 479 00:27:23,720 --> 00:27:26,159 Speaker 1: is exactly what's going on. You know. One thing that 480 00:27:26,240 --> 00:27:28,920 Speaker 1: we see a lot about the way that disinformers and 481 00:27:29,040 --> 00:27:33,159 Speaker 1: bad actors operate online is that they use things that 482 00:27:33,240 --> 00:27:37,600 Speaker 1: are legitimate tensions that exist in our community, or legitimate fractures, 483 00:27:37,640 --> 00:27:41,399 Speaker 1: fractures particularly things that are like sensitive or difficult to 484 00:27:41,440 --> 00:27:43,040 Speaker 1: talk about that we don't talk about. So a good 485 00:27:43,040 --> 00:27:46,960 Speaker 1: example would be tensions between black folks and Latino folks, right, 486 00:27:47,000 --> 00:27:49,639 Speaker 1: And so we've seen bad actors time and time again 487 00:27:50,119 --> 00:27:55,639 Speaker 1: exploit that specific tension that does actually exist. And so, 488 00:27:56,080 --> 00:27:59,280 Speaker 1: you know, and just another point to your point, um, 489 00:27:59,640 --> 00:28:02,639 Speaker 1: during the summer, when we saw all of those you know, 490 00:28:03,040 --> 00:28:06,080 Speaker 1: uprisings and protests around the globe pro racial justice, Twitter 491 00:28:06,200 --> 00:28:08,720 Speaker 1: actually confirmed and I think Facebook did too. They don't 492 00:28:08,760 --> 00:28:11,320 Speaker 1: quote me on that, I know that Twitter did. They 493 00:28:11,440 --> 00:28:14,399 Speaker 1: confirmed that some of the people who you might have 494 00:28:14,480 --> 00:28:17,399 Speaker 1: thought were black folks on social media who were you know, 495 00:28:17,520 --> 00:28:21,120 Speaker 1: inviting people to to you know, participate in violent activities 496 00:28:21,160 --> 00:28:23,680 Speaker 1: like oh, we're gonna go we're upset about racial justice. 497 00:28:23,680 --> 00:28:26,120 Speaker 1: We're going to go to a white suburban burn it down. 498 00:28:26,640 --> 00:28:29,720 Speaker 1: Those were run by white supremacists, right, Like these platforms 499 00:28:29,760 --> 00:28:32,200 Speaker 1: have confirmed that. And so if you if you ever 500 00:28:32,359 --> 00:28:35,720 Speaker 1: feel like somebody online is posing as a black person 501 00:28:35,880 --> 00:28:38,960 Speaker 1: and really trying to rile you up along something that 502 00:28:39,080 --> 00:28:42,800 Speaker 1: isn't an identified, existing like trigger point for you, you're 503 00:28:42,800 --> 00:28:46,720 Speaker 1: not paranoid for thinking that's what's going on exactly. And 504 00:28:46,800 --> 00:28:50,280 Speaker 1: I feel like, again, that's see that exact example is like, Yo, 505 00:28:50,400 --> 00:28:53,240 Speaker 1: that's bullseye of who I'm trying to talk to in 506 00:28:53,280 --> 00:28:58,000 Speaker 1: this show and why I made the show because it's like, dog, 507 00:28:58,200 --> 00:29:00,880 Speaker 1: you know this experience. You knew a kid like that, 508 00:29:01,440 --> 00:29:03,000 Speaker 1: you know what I'm saying. That was like, Hey, hommy, 509 00:29:03,040 --> 00:29:04,720 Speaker 1: he talking ship. You're gonna let that NIGN talk to 510 00:29:04,760 --> 00:29:06,520 Speaker 1: you like that? You know what I'm saying, Like, Hey, 511 00:29:06,560 --> 00:29:08,520 Speaker 1: we're gonna ride tonight, man, you're pulling up or not? 512 00:29:08,920 --> 00:29:10,760 Speaker 1: You know, ride or die? Bro. Hey, you don't let 513 00:29:10,800 --> 00:29:12,600 Speaker 1: him talk about the hood like that. It's like, hey, hommy, 514 00:29:12,680 --> 00:29:14,480 Speaker 1: you know what, that's your problem. That beef you got 515 00:29:14,560 --> 00:29:17,280 Speaker 1: with that boy, that's between y'all and him. Y'all outside 516 00:29:17,360 --> 00:29:19,280 Speaker 1: he said he outside waiting for you. I'm gonna be 517 00:29:19,400 --> 00:29:21,560 Speaker 1: right here. You know what I'm saying, Because I like you, 518 00:29:21,760 --> 00:29:23,560 Speaker 1: you ain't gonna pull me into that, you know what 519 00:29:23,600 --> 00:29:26,120 Speaker 1: I'm saying, Like, I love my hood, I love my set, 520 00:29:26,240 --> 00:29:29,440 Speaker 1: but listen, it's different. I'm over here, I'll sitting here 521 00:29:29,440 --> 00:29:31,640 Speaker 1: eating tacos. You should have left you should have left 522 00:29:31,720 --> 00:29:34,320 Speaker 1: that man alone, you know what I'm saying, Like, I 523 00:29:34,840 --> 00:29:36,600 Speaker 1: know why. I think I talked about it once before 524 00:29:36,640 --> 00:29:39,840 Speaker 1: on another show. But it's a very like specific, like 525 00:29:40,080 --> 00:29:44,480 Speaker 1: real life experience. Me and I'm just playing outside and 526 00:29:44,600 --> 00:29:47,320 Speaker 1: some boys just happened to be walking by, and did 527 00:29:47,480 --> 00:29:53,880 Speaker 1: nobody tell you? Did nobody tell you to press? These dudes? Hey, hommy, 528 00:29:53,880 --> 00:29:57,160 Speaker 1: where are you from? It's like, bro, they on the 529 00:29:57,440 --> 00:30:00,440 Speaker 1: they was on their way, They was already passed our yard. 530 00:30:00,640 --> 00:30:03,000 Speaker 1: You you did not need it, So now we all 531 00:30:03,040 --> 00:30:06,320 Speaker 1: got to fight. And I'm like, okay, listen, bro. Like 532 00:30:07,520 --> 00:30:10,320 Speaker 1: so that's what I'm saying. So use those same antennas 533 00:30:10,360 --> 00:30:12,840 Speaker 1: you remembered that was gonna get you in trouble. Y'all 534 00:30:12,880 --> 00:30:15,600 Speaker 1: all suspended because he mad. You know what I'm saying. 535 00:30:15,720 --> 00:30:17,720 Speaker 1: Used them same antenda is that you remember, Like, no, 536 00:30:17,840 --> 00:30:19,840 Speaker 1: I'm not going to that party. I ain't going to 537 00:30:19,920 --> 00:30:22,320 Speaker 1: that kick back y'all, y'all gonna wear y'all ditch in 538 00:30:22,360 --> 00:30:25,640 Speaker 1: fourth period. Now I'm chill, I'm cool, Like, look them 539 00:30:25,760 --> 00:30:29,160 Speaker 1: same antennas, you know what I'm saying. Use that for 540 00:30:29,280 --> 00:30:33,120 Speaker 1: going to burn that white suburb? Like really exactly. I 541 00:30:33,280 --> 00:30:35,360 Speaker 1: love how you put that in. Again, you don't need 542 00:30:35,400 --> 00:30:38,320 Speaker 1: to be a disinformation researcher to see the to be like, oh, 543 00:30:38,360 --> 00:30:42,520 Speaker 1: I I recognize this right that that that same antenna, 544 00:30:42,640 --> 00:30:45,160 Speaker 1: that same gut feeling where you're like, this doesn't seem right, 545 00:30:45,440 --> 00:30:47,680 Speaker 1: that isn't feeling. I think that we should all, we 546 00:30:47,720 --> 00:30:50,880 Speaker 1: would all be served by leaning into especially when we're 547 00:30:50,920 --> 00:30:57,280 Speaker 1: having these tense conversations online. Yes, so good, Okay, so 548 00:30:57,880 --> 00:31:02,800 Speaker 1: Russian cap, bad actor his cap? What about a media caps? 549 00:31:02,920 --> 00:31:07,400 Speaker 1: So how do you feel about Tucker Carlson? Tucker Carlson 550 00:31:07,480 --> 00:31:11,160 Speaker 1: might be my number one cap cap of the year. 551 00:31:11,320 --> 00:31:16,560 Speaker 1: Maybe he so exactly, he's just so good at it, 552 00:31:16,840 --> 00:31:22,400 Speaker 1: Like he's really good at it, yo, Because what what's 553 00:31:22,440 --> 00:31:24,600 Speaker 1: so brilliant And I hate to use that term, but 554 00:31:24,720 --> 00:31:29,040 Speaker 1: what's so brilliant about the Tucker Carlson cap is there's 555 00:31:29,080 --> 00:31:33,000 Speaker 1: two things. It's a new show knowing damn well, this 556 00:31:33,080 --> 00:31:36,640 Speaker 1: ain't no new show, knowing knowing this is an opinion show. 557 00:31:36,680 --> 00:31:39,040 Speaker 1: And if you ask him, if he's pressed in court, 558 00:31:39,120 --> 00:31:43,080 Speaker 1: he's like, this is the entertainment exactly. The news happened 559 00:31:43,280 --> 00:31:47,360 Speaker 1: at like noon, like this entertainment show. So that's like, okay, 560 00:31:47,400 --> 00:31:49,720 Speaker 1: so you've already set up the game. If somebody press 561 00:31:49,800 --> 00:31:51,880 Speaker 1: you on it, that's like we're talking about this entertainment 562 00:31:52,040 --> 00:31:55,080 Speaker 1: Like no, it's people don't take me serious, knowing full 563 00:31:55,160 --> 00:31:58,680 Speaker 1: well everybody takes you serious. And then too, he knows 564 00:31:58,680 --> 00:32:02,480 Speaker 1: how to say something by not saying something like right now. 565 00:32:03,160 --> 00:32:05,920 Speaker 1: I'm really impressed with his like I'm not gonna be 566 00:32:06,040 --> 00:32:08,960 Speaker 1: pro Putin because that's crazy because I'm but I'll be 567 00:32:09,200 --> 00:32:15,600 Speaker 1: anti anti Putin. It isn't that. It's so savvy the 568 00:32:15,680 --> 00:32:19,120 Speaker 1: way that you couldn't point to like unfortunately, I have 569 00:32:19,200 --> 00:32:21,720 Speaker 1: watched quite a bit of Tucker Carlson the last few months. 570 00:32:22,120 --> 00:32:26,520 Speaker 1: I couldn't point to him being specifically pro Putin's very good. 571 00:32:26,720 --> 00:32:29,000 Speaker 1: You couldn't. You couldn't get him on that. But he 572 00:32:29,160 --> 00:32:32,479 Speaker 1: the way that he is able to be anti anti Putin, 573 00:32:32,840 --> 00:32:35,760 Speaker 1: it's just it's it's really it's brilliant and I hate 574 00:32:35,760 --> 00:32:38,480 Speaker 1: to give him a compliment, but he really he's he's 575 00:32:38,520 --> 00:32:43,000 Speaker 1: not new to this. He's true that man, like I 576 00:32:43,120 --> 00:32:45,000 Speaker 1: got him up there. I got him up there as 577 00:32:45,440 --> 00:32:49,200 Speaker 1: like he's fighting for one and two for me because 578 00:32:49,440 --> 00:32:52,000 Speaker 1: because it's brilliant, you know what I'm saying. He has 579 00:32:52,040 --> 00:32:58,160 Speaker 1: a way of sanitizinglearly Nazi thought like this is like 580 00:32:58,480 --> 00:33:00,560 Speaker 1: if you just just it's one of those things to 581 00:33:00,600 --> 00:33:04,040 Speaker 1: where it's like you just just just push a little, 582 00:33:04,560 --> 00:33:07,320 Speaker 1: just just pull the curtain down a little and you're like, oh, 583 00:33:07,520 --> 00:33:11,600 Speaker 1: I'll see what you did there, you know, And it's 584 00:33:11,720 --> 00:33:13,320 Speaker 1: and it's quite a skill. I think there's a lot 585 00:33:13,360 --> 00:33:16,440 Speaker 1: of people, you know out here in the world of 586 00:33:16,600 --> 00:33:20,160 Speaker 1: normis that probably have that same skill. They just don't 587 00:33:20,200 --> 00:33:22,880 Speaker 1: have the access somebody like a tech tuck a cross 588 00:33:22,920 --> 00:33:26,760 Speaker 1: and have or the death inside of their soul to 589 00:33:27,600 --> 00:33:29,520 Speaker 1: be willing to do what they're doing, you know what 590 00:33:29,560 --> 00:33:33,240 Speaker 1: I'm saying. But that art, like that art of like 591 00:33:34,760 --> 00:33:38,520 Speaker 1: saying it by not saying it. And it's the same 592 00:33:38,560 --> 00:33:41,680 Speaker 1: way that when he makes content about race, that is 593 00:33:41,720 --> 00:33:44,840 Speaker 1: when you really see him really say it without saying it, 594 00:33:44,960 --> 00:33:50,480 Speaker 1: Like he basically is able to insinuate some pretty ugly 595 00:33:51,000 --> 00:33:54,800 Speaker 1: dark things about communities of color. But again, it's done 596 00:33:54,880 --> 00:33:57,600 Speaker 1: in this way where if you had to point out 597 00:33:58,120 --> 00:34:01,200 Speaker 1: he makes it very difficult to point out specific quotes 598 00:34:01,280 --> 00:34:04,240 Speaker 1: that he has said. Anybody, and anybody can see what's 599 00:34:04,240 --> 00:34:06,200 Speaker 1: going on. Anybody can be between the lines and say, oh, 600 00:34:06,240 --> 00:34:09,440 Speaker 1: I understand what he's trying to say. Yeah, yeah, when 601 00:34:09,480 --> 00:34:12,520 Speaker 1: you go, yeah, so when you go. So, what you're 602 00:34:12,600 --> 00:34:15,279 Speaker 1: saying is which us who are listening and have heard 603 00:34:15,360 --> 00:34:19,279 Speaker 1: this line before. What you're saying is, by virtue of 604 00:34:19,360 --> 00:34:23,719 Speaker 1: our very nature as black and brown folk, we are 605 00:34:23,800 --> 00:34:26,759 Speaker 1: not able to be as civilized as the people that 606 00:34:26,880 --> 00:34:29,440 Speaker 1: you serve. That's what you're saying exactly. You know what 607 00:34:29,480 --> 00:34:33,120 Speaker 1: I'm saying. He's like, where did you hear me say that? 608 00:34:34,680 --> 00:34:38,719 Speaker 1: What are you talking about? You know? And I'm like, okay, yeah, 609 00:34:38,760 --> 00:34:41,520 Speaker 1: you're right. You didn't say that, got you. That's cat. 610 00:34:41,880 --> 00:34:44,560 Speaker 1: But you know you're saying it though, exactly. And you 611 00:34:44,600 --> 00:34:50,279 Speaker 1: know who else knows, his viewers, his viewers exactly. What Yes, 612 00:34:53,080 --> 00:35:04,000 Speaker 1: cat cat cat cat cat cat cap ca ca ca 613 00:35:04,360 --> 00:35:28,440 Speaker 1: cat cat cat can cap. I think we witnessed a 614 00:35:30,239 --> 00:35:35,239 Speaker 1: smorgasborg of cap in the last Supreme Court nomination hearing. 615 00:35:36,040 --> 00:35:39,320 Speaker 1: Oh my gosh, it was hard to do to do 616 00:35:39,440 --> 00:35:41,479 Speaker 1: watch the hearing. It was hard for me to watch. 617 00:35:41,840 --> 00:35:45,399 Speaker 1: I couldn't, I couldn't keep it on. I marveled at 618 00:35:46,840 --> 00:35:48,839 Speaker 1: there's a few things on marvel I was. I felt 619 00:35:48,840 --> 00:35:55,040 Speaker 1: a little anthropological because I'm like, as someone who has 620 00:35:56,040 --> 00:36:02,480 Speaker 1: lived my entire life under the watchful eye of black women, 621 00:36:02,920 --> 00:36:07,000 Speaker 1: whether it's my sister, all my teeth, all my teachers, 622 00:36:07,239 --> 00:36:09,840 Speaker 1: you know, my all, my whatever the case may be, 623 00:36:10,800 --> 00:36:16,680 Speaker 1: her ability to not show her cards. You know what 624 00:36:16,719 --> 00:36:20,440 Speaker 1: I'm saying, Remain calm, not raise my voice, know what 625 00:36:20,520 --> 00:36:23,959 Speaker 1: the hell I'm talking about, Twitch to switch her pitch, 626 00:36:24,000 --> 00:36:27,320 Speaker 1: switch your tone, answer a question, diffuse your question, know 627 00:36:27,440 --> 00:36:30,280 Speaker 1: how to not answer you knowing what you're saying is ridiculous, 628 00:36:30,680 --> 00:36:35,319 Speaker 1: and then but not saying this is ridiculous, but I'm 629 00:36:35,360 --> 00:36:38,080 Speaker 1: gonna answer, you know, answer a fool in his folly, 630 00:36:38,160 --> 00:36:41,000 Speaker 1: like I'm gonna answer your folly. Right was to me, 631 00:36:41,239 --> 00:36:44,640 Speaker 1: was like, oh, this is y'all. Don't understand. This is 632 00:36:44,719 --> 00:36:50,400 Speaker 1: what they do. Like she's exceptional, but not for that. 633 00:36:51,400 --> 00:36:57,200 Speaker 1: That's not what makes her exceptional. That's what they all do. Absolutely, 634 00:36:57,480 --> 00:37:00,600 Speaker 1: I cannot agree more. I almost feel like so so 635 00:37:00,800 --> 00:37:02,880 Speaker 1: yes to everything that you just said, And for me 636 00:37:03,120 --> 00:37:05,960 Speaker 1: watching that, I have to say I had almost kind 637 00:37:06,000 --> 00:37:08,440 Speaker 1: of I didn't expect to be almost sort of so 638 00:37:09,320 --> 00:37:13,839 Speaker 1: emotionally almost triggered by it, because, as you said, every 639 00:37:13,880 --> 00:37:18,120 Speaker 1: black woman in America recognizes the masterful dance that she 640 00:37:18,239 --> 00:37:22,000 Speaker 1: has to do to get to basically be publicly disrespected 641 00:37:22,040 --> 00:37:26,240 Speaker 1: for hours on national television and act like one it's acceptable, 642 00:37:26,280 --> 00:37:30,600 Speaker 1: which it shouldn't be. You respond with like grace and 643 00:37:30,880 --> 00:37:33,440 Speaker 1: a plum and not and make it seem like, oh well, 644 00:37:33,480 --> 00:37:37,200 Speaker 1: thank you for that question. It definitely is not disrespectful. Definitely, 645 00:37:37,280 --> 00:37:40,960 Speaker 1: doesn't you know, set me up to feel disrespected, does 646 00:37:41,040 --> 00:37:45,000 Speaker 1: not disrespect my years of experience it. So I definitely 647 00:37:45,080 --> 00:37:48,080 Speaker 1: recognized that in the hearings, but it was just hard 648 00:37:48,160 --> 00:37:50,160 Speaker 1: for me. I was like, this is I didn't like. 649 00:37:50,400 --> 00:37:52,840 Speaker 1: I didn't like watching her have to do that, and 650 00:37:54,080 --> 00:37:56,880 Speaker 1: I can recognize that she did a great job. Yeah, 651 00:37:57,680 --> 00:37:59,600 Speaker 1: do you have do you have a recollection of what 652 00:37:59,680 --> 00:38:02,640 Speaker 1: you think which one of the questions or senators or 653 00:38:02,760 --> 00:38:07,360 Speaker 1: things was like the most cap delicious. Oh yes, definitely. 654 00:38:07,440 --> 00:38:10,400 Speaker 1: I think it was Ted Cruise's line of questioning around 655 00:38:10,600 --> 00:38:14,000 Speaker 1: um this that this complete nonsense idea of her being 656 00:38:14,160 --> 00:38:19,239 Speaker 1: quote soft on like sexual prickers. So that has complete 657 00:38:19,360 --> 00:38:23,600 Speaker 1: roots in debunked nonsense Q and on theories, and also 658 00:38:23,719 --> 00:38:26,440 Speaker 1: the way that he framed that question of trying to 659 00:38:26,560 --> 00:38:30,359 Speaker 1: get her to explain why she sentenced this person who 660 00:38:30,520 --> 00:38:34,600 Speaker 1: was I guess con um for you know, a certain 661 00:38:34,640 --> 00:38:36,440 Speaker 1: amount of years in prison. And she was like, well, 662 00:38:36,520 --> 00:38:38,759 Speaker 1: I it's not my job to you know, I don't 663 00:38:38,800 --> 00:38:40,560 Speaker 1: come up with sentence and guidelines. That's my job as 664 00:38:40,560 --> 00:38:43,200 Speaker 1: a judge to you know, work within those guidelines which 665 00:38:43,239 --> 00:38:45,399 Speaker 1: I don't make. And when I think it was, Dick 666 00:38:45,520 --> 00:38:47,520 Speaker 1: Durbin was like, I think that she's answered the question. 667 00:38:47,680 --> 00:38:50,480 Speaker 1: Time to move on. Ted Cruz was like, well, I 668 00:38:50,560 --> 00:38:52,919 Speaker 1: guess you know, why don't you want the American people 669 00:38:53,000 --> 00:38:55,680 Speaker 1: to know the truth of what happened with this child 670 00:38:55,800 --> 00:38:58,960 Speaker 1: this this child pornography case. And so again going back 671 00:38:59,000 --> 00:39:01,520 Speaker 1: to sort of saying something without saying something, it's so 672 00:39:01,680 --> 00:39:05,000 Speaker 1: clear clear as day to me that Ted Cruz was 673 00:39:05,080 --> 00:39:07,640 Speaker 1: trying to evoke this debunked Q and on theory that 674 00:39:07,640 --> 00:39:12,600 Speaker 1: absolutely elected officials are involved with you know, child being 675 00:39:12,680 --> 00:39:14,680 Speaker 1: child predators at all and things of that nature. And 676 00:39:15,040 --> 00:39:17,440 Speaker 1: you know the reality is, you know, in my day 677 00:39:17,640 --> 00:39:20,640 Speaker 1: day job, I work for a survivor justice organization. Survivor 678 00:39:20,800 --> 00:39:24,120 Speaker 1: justice organizations and survivor justice advocates are so queer that 679 00:39:24,520 --> 00:39:27,359 Speaker 1: Judge Jackson, we see her as an advocate for us. 680 00:39:27,600 --> 00:39:30,520 Speaker 1: We support her, And this idea that he can use, 681 00:39:31,080 --> 00:39:34,960 Speaker 1: you know, like per like per being soft on child 682 00:39:35,000 --> 00:39:38,560 Speaker 1: predators or soft on sexual violence against her is so 683 00:39:39,040 --> 00:39:42,480 Speaker 1: disingenuous and disgusting, Like it's so clear what he's doing 684 00:39:42,840 --> 00:39:45,520 Speaker 1: and the reason why it's effective. The reason why these 685 00:39:45,640 --> 00:39:47,640 Speaker 1: Q and on theories haven't gone away is that so 686 00:39:47,800 --> 00:39:51,239 Speaker 1: many people are survivors of sexual violence and somebody knows 687 00:39:51,719 --> 00:39:53,919 Speaker 1: it's something that that is going to, you know, really 688 00:39:54,000 --> 00:39:56,160 Speaker 1: have a stick in quality because so many people have 689 00:39:56,280 --> 00:39:59,880 Speaker 1: experienced it, and it's just ridiculous not to mention danger. 690 00:40:00,000 --> 00:40:05,360 Speaker 1: It's dangerous to publicly associate somebody with something as horrible 691 00:40:05,520 --> 00:40:08,080 Speaker 1: as being a child predator. And and I thought that 692 00:40:08,200 --> 00:40:15,080 Speaker 1: was definitely the most unacceptable extreme cap of the entire hearing. Yeah, 693 00:40:16,520 --> 00:40:23,960 Speaker 1: Ted cruz Uh, I don't know anyone that's so ferociously 694 00:40:24,320 --> 00:40:28,520 Speaker 1: bad at what he's trying to do, Like it's it's 695 00:40:29,560 --> 00:40:32,080 Speaker 1: it's a marvel to me because it was like like 696 00:40:32,239 --> 00:40:36,360 Speaker 1: you said that that that that cap was so clear 697 00:40:36,520 --> 00:40:40,399 Speaker 1: and paper then it just wasn't clever. You're like, you're 698 00:40:40,440 --> 00:40:44,279 Speaker 1: not even good at this. You know, um his his 699 00:40:44,640 --> 00:40:47,920 Speaker 1: clear like cloud Chasing with the like holding up the 700 00:40:48,080 --> 00:40:51,160 Speaker 1: book and like trying to trying to land a thirty 701 00:40:51,200 --> 00:40:54,040 Speaker 1: second segment on you know, the news tonight. I'm like, bro, 702 00:40:54,560 --> 00:40:56,960 Speaker 1: do you have any concept of how the media works? 703 00:40:57,560 --> 00:41:00,880 Speaker 1: You put the book on the screen. You understand that 704 00:41:00,960 --> 00:41:04,040 Speaker 1: everybody's gonna go buy the book. Now, You're so bad 705 00:41:04,080 --> 00:41:08,600 Speaker 1: at this, bro, Like you you don't put it on it. 706 00:41:09,320 --> 00:41:10,880 Speaker 1: You ain't supposed to put it on the camera, bro, 707 00:41:11,080 --> 00:41:14,960 Speaker 1: Like that's you just put this man's book cover in 708 00:41:15,080 --> 00:41:17,000 Speaker 1: front of the world. You don't think people ain't gonna 709 00:41:17,000 --> 00:41:20,320 Speaker 1: google that? Like, you're so bad at this, dog Like 710 00:41:20,480 --> 00:41:24,160 Speaker 1: that's not that's not how cloud Chasing works. And that 711 00:41:24,239 --> 00:41:28,760 Speaker 1: book shot up to number one, but the number one overnight, 712 00:41:28,840 --> 00:41:31,200 Speaker 1: Thank you very much. You are so bad at this, 713 00:41:32,440 --> 00:41:35,960 Speaker 1: Like yeah, so I would. Yeah. I thought the way 714 00:41:36,040 --> 00:41:38,719 Speaker 1: that she answered that because I wasn't really clear on 715 00:41:38,880 --> 00:41:41,000 Speaker 1: like the queu and on stuff that debunk stuff. So 716 00:41:41,120 --> 00:41:42,600 Speaker 1: I was like, let me hear what let me hear 717 00:41:42,640 --> 00:41:44,040 Speaker 1: what she got to say, And the way that she 718 00:41:44,160 --> 00:41:48,879 Speaker 1: answered it um for y'all to don't know. She's basically like, listen, dude. 719 00:41:49,560 --> 00:41:54,680 Speaker 1: You know, pre Internet, if you were just to um 720 00:41:55,000 --> 00:41:57,720 Speaker 1: pass out child pornography, you had to pound the ground 721 00:41:58,200 --> 00:42:00,960 Speaker 1: you was putting them in the mail, right, So it 722 00:42:01,000 --> 00:42:02,360 Speaker 1: took a lot of effort for you to get a 723 00:42:02,480 --> 00:42:07,920 Speaker 1: hundred pieces of child pouring out. Yo. That's footwork. Like, 724 00:42:08,000 --> 00:42:10,960 Speaker 1: it's a lot of work. Right now, from the Internet, 725 00:42:11,040 --> 00:42:13,239 Speaker 1: you can click one button and put a million pieces out. 726 00:42:14,000 --> 00:42:16,400 Speaker 1: So you're like, okay, that is that volume or effort, 727 00:42:17,440 --> 00:42:19,440 Speaker 1: And you gotta ask me who put in more effort, 728 00:42:19,719 --> 00:42:23,280 Speaker 1: who put in more volume? And my job was to say, okay, 729 00:42:23,480 --> 00:42:27,080 Speaker 1: in this situation situation in night, this man went out 730 00:42:27,160 --> 00:42:33,320 Speaker 1: of his way, joke say, to buy stamps, to go 731 00:42:33,480 --> 00:42:36,840 Speaker 1: to the post office to xerox all this stuff. So 732 00:42:37,000 --> 00:42:41,320 Speaker 1: I had to calculate that into my judgment. I'm like, 733 00:42:41,440 --> 00:42:45,279 Speaker 1: that makes perfect sense, and I don't understand why you 734 00:42:45,320 --> 00:42:47,359 Speaker 1: would What what does that got to do with being 735 00:42:47,440 --> 00:42:50,320 Speaker 1: soft on crying? Like you tying this together in a 736 00:42:50,400 --> 00:42:52,880 Speaker 1: way that clearly don't make sense. And so for me, 737 00:42:53,040 --> 00:42:55,000 Speaker 1: I'm like, even if you was gonna pick something to 738 00:42:55,120 --> 00:42:59,160 Speaker 1: cap on, that one's easily torn down. That's why I'm like, 739 00:42:59,520 --> 00:43:04,560 Speaker 1: you're not good at this. Yeah, I mean I think 740 00:43:04,600 --> 00:43:06,319 Speaker 1: that you know, the way that you put it, It's 741 00:43:06,360 --> 00:43:09,200 Speaker 1: like I think people like TEP crews were using that 742 00:43:09,400 --> 00:43:13,440 Speaker 1: confirmation hearing process to grandstand. I think that they you know, 743 00:43:13,520 --> 00:43:16,320 Speaker 1: it's just stunts. Again, if you, if you, you know, 744 00:43:16,719 --> 00:43:19,000 Speaker 1: you don't have to be a political scientist or a 745 00:43:19,040 --> 00:43:21,759 Speaker 1: scholar to recognize a stunt. When you see one and 746 00:43:21,960 --> 00:43:24,160 Speaker 1: abody who pull stunts, you know it's the same. It's 747 00:43:24,200 --> 00:43:26,359 Speaker 1: the same thing. You're looking for your moment. You're looking 748 00:43:26,360 --> 00:43:28,319 Speaker 1: forward to get that booking on Fox News or talking 749 00:43:28,360 --> 00:43:31,360 Speaker 1: Carlson to explain your little stunt. And that's what it is. 750 00:43:32,680 --> 00:43:36,040 Speaker 1: You know, this is in this like equal opportunity. I'll 751 00:43:36,040 --> 00:43:39,480 Speaker 1: still never get over, you know. Nancy Pelosi and her 752 00:43:39,560 --> 00:43:43,040 Speaker 1: and her kinte cloths. Neil I was like, this is 753 00:43:43,120 --> 00:43:47,400 Speaker 1: the most you again, You're bad, You're not good at this. 754 00:43:48,800 --> 00:43:53,000 Speaker 1: That was the most absurd. I was like, ma'am, ma'am, 755 00:43:53,120 --> 00:43:55,319 Speaker 1: get you're gonna hurt yourself. Get off that, Get off 756 00:43:55,320 --> 00:43:57,520 Speaker 1: your knee, ma'am. Just don't don't bend down like that, man, 757 00:43:57,719 --> 00:44:00,480 Speaker 1: Just don't. Who on her team told her that was 758 00:44:00,560 --> 00:44:07,520 Speaker 1: a good idea, like, ma'am, this only reads as cap. 759 00:44:10,520 --> 00:44:16,080 Speaker 1: You're not helping, you're helping. Ain't helping, you're helping. I help, ma'am. 760 00:44:16,239 --> 00:44:19,200 Speaker 1: Can you please just get off? Don't Yeah. When she 761 00:44:19,320 --> 00:44:20,839 Speaker 1: tried to take to me, I was like, oh, oh, 762 00:44:21,040 --> 00:44:22,920 Speaker 1: m pellos, don't do that. You ain't gonna be able 763 00:44:22,920 --> 00:44:25,000 Speaker 1: to get up. You're not doing what you think you're doing. 764 00:44:26,840 --> 00:44:35,600 Speaker 1: Just cap. So our three candidates, four candidates Russian media, 765 00:44:36,600 --> 00:44:44,200 Speaker 1: social media, bad actors, Tugger Carlson, or the Supreme Court 766 00:44:44,280 --> 00:44:49,600 Speaker 1: hearings rank. We'll talk across with the number one, number one, 767 00:44:50,640 --> 00:44:55,759 Speaker 1: number one King of cap cap and that's really saying something. Um, 768 00:44:56,640 --> 00:45:01,759 Speaker 1: I'm gonna say number two Russian state media. Okay, I'm 769 00:45:01,800 --> 00:45:06,680 Speaker 1: gonna say number three the hearings and just the general 770 00:45:08,239 --> 00:45:11,600 Speaker 1: horrible nous on display. And then number four sort of 771 00:45:11,719 --> 00:45:17,000 Speaker 1: general social media backers I have. I have no notes 772 00:45:17,080 --> 00:45:28,320 Speaker 1: on that list. That's perfect, all right. So to close 773 00:45:28,360 --> 00:45:31,680 Speaker 1: out the show, I'm gonna give you, um three things 774 00:45:32,239 --> 00:45:34,920 Speaker 1: and two out of three. If you get two out 775 00:45:34,960 --> 00:45:38,840 Speaker 1: of three correct, you win. Question is factor cap? So 776 00:45:38,960 --> 00:45:44,319 Speaker 1: these are news headlines. Tell me if they're factor cap. Oh, 777 00:45:44,600 --> 00:45:46,560 Speaker 1: if I'm bad at this, I'm gonna I'm gonna be 778 00:45:46,640 --> 00:45:51,080 Speaker 1: shaming myself as a well, I'm not giving you a 779 00:45:51,160 --> 00:45:54,080 Speaker 1: lot of information though. Okay, so the first one is 780 00:45:54,560 --> 00:45:57,960 Speaker 1: the first one is uh, no one has any idea 781 00:45:58,320 --> 00:46:03,480 Speaker 1: when April Fool started as an event or a holiday. 782 00:46:03,640 --> 00:46:05,920 Speaker 1: But we kind of think the customs go back to 783 00:46:06,000 --> 00:46:09,920 Speaker 1: Renaissance Europe, but most likely started much earlier than then. 784 00:46:12,120 --> 00:46:18,520 Speaker 1: That sounds like fact, correct, it is fact? Good job. Okay. 785 00:46:19,400 --> 00:46:27,360 Speaker 1: Number two. For Valentine's Day, the Bronx Zoo had a 786 00:46:27,600 --> 00:46:33,200 Speaker 1: litter of mere cats, and for a small price, you 787 00:46:33,320 --> 00:46:36,920 Speaker 1: can get one of them mere cats to be named 788 00:46:37,880 --> 00:46:42,000 Speaker 1: after yo boo thing. Oh I think I heard this story. 789 00:46:43,000 --> 00:46:48,840 Speaker 1: I don't remember being mere cats. I'm gonna say true 790 00:46:49,239 --> 00:46:51,520 Speaker 1: because I want a mere cat named after myself. I 791 00:46:51,560 --> 00:46:54,960 Speaker 1: would love a mere cat named after me. But as 792 00:46:55,080 --> 00:46:59,600 Speaker 1: cap it was actually roaches, That's what it was. That's 793 00:46:59,600 --> 00:47:01,160 Speaker 1: what I want. Oh. I have a couple of people 794 00:47:01,160 --> 00:47:04,440 Speaker 1: who I feel like would really be a good roach name. 795 00:47:07,520 --> 00:47:09,680 Speaker 1: We should get one a name at Tucker Carlson. Yes, 796 00:47:09,960 --> 00:47:14,719 Speaker 1: it's I'll do that after this. Let's right now, let's 797 00:47:14,880 --> 00:47:25,680 Speaker 1: name this. Oh my god. Okay, oh man, that's so perfect. Alright, 798 00:47:25,800 --> 00:47:30,959 Speaker 1: factor cap Mickey Mouse is coming out. Oh that's gotta 799 00:47:31,040 --> 00:47:41,800 Speaker 1: be cap. Wait wait is it fact? It's a trick question. 800 00:47:44,560 --> 00:47:52,440 Speaker 1: The Republicans, the Republican UH media is convinced that because 801 00:47:52,520 --> 00:47:58,000 Speaker 1: of the direction that Disneyland is going that they're like, well, 802 00:47:58,200 --> 00:48:00,319 Speaker 1: next thing we're not Mickey Mouse is gonna be gay. 803 00:48:00,880 --> 00:48:05,160 Speaker 1: So they've called him gay. I see, Oh that's a 804 00:48:05,360 --> 00:48:08,239 Speaker 1: good one. That that was a really, really good one. 805 00:48:10,040 --> 00:48:12,040 Speaker 1: They're always upset about something. Do you remember when they 806 00:48:12,120 --> 00:48:15,160 Speaker 1: made The Green the Green eminem less horny? Yes, she 807 00:48:15,239 --> 00:48:20,719 Speaker 1: was too sexy. Yeah, I'm just like yeah, Like with 808 00:48:20,960 --> 00:48:25,200 Speaker 1: that one, I was like, man, y'all bored, Like y'all 809 00:48:25,280 --> 00:48:28,360 Speaker 1: just bored. I feel like there's plenty of things. Almost 810 00:48:28,400 --> 00:48:30,920 Speaker 1: sometimes I want to sometimes I feel like, man, let me, 811 00:48:32,640 --> 00:48:35,200 Speaker 1: let me write y'all's points. It's almost like if I 812 00:48:35,320 --> 00:48:36,800 Speaker 1: was being if I was gonna be like if we 813 00:48:36,920 --> 00:48:39,239 Speaker 1: was in a battle, like it was battle rapping, I 814 00:48:39,280 --> 00:48:41,840 Speaker 1: would be like for this to be more fun for me. 815 00:48:43,440 --> 00:48:47,120 Speaker 1: I'm gonna give you things to say to me because 816 00:48:47,560 --> 00:48:51,359 Speaker 1: the stuff you're coming up with is trash. Like, there 817 00:48:51,440 --> 00:48:54,399 Speaker 1: are so many things you could say, There's so many 818 00:48:54,480 --> 00:48:56,040 Speaker 1: things you can deal with you know what I'm saying, 819 00:48:56,320 --> 00:48:57,800 Speaker 1: you can talk to us about the fact that we 820 00:48:57,920 --> 00:49:00,160 Speaker 1: really don't know how we feel about the police, you 821 00:49:00,200 --> 00:49:03,440 Speaker 1: know what I'm saying, Like because we don't you know 822 00:49:03,480 --> 00:49:05,560 Speaker 1: what I'm saying, Like you had it like you said 823 00:49:06,360 --> 00:49:08,600 Speaker 1: uprise and we had defund the police everywhere and then 824 00:49:08,760 --> 00:49:10,719 Speaker 1: and then Corey Booker got on that thing and was like, 825 00:49:11,000 --> 00:49:13,319 Speaker 1: We're never gonna defund the police. And you're like, wait, 826 00:49:15,280 --> 00:49:20,760 Speaker 1: wait what like you know or or kept like drag 827 00:49:20,880 --> 00:49:24,280 Speaker 1: us on the fact that when we say defund the police, 828 00:49:24,320 --> 00:49:27,239 Speaker 1: we don't mean defundum. We mean defundum, And you're like, 829 00:49:27,440 --> 00:49:30,040 Speaker 1: what the hell does that? Drag us on nap, You 830 00:49:30,080 --> 00:49:33,279 Speaker 1: know what I'm saying, Make us answer that question, make 831 00:49:33,320 --> 00:49:35,800 Speaker 1: me explain what I mean by that. But that's not 832 00:49:35,880 --> 00:49:41,080 Speaker 1: what you're doing. You're mad. You're mad because Mickey might 833 00:49:41,160 --> 00:49:46,960 Speaker 1: be by it's wild and I think you know this 834 00:49:47,239 --> 00:49:49,320 Speaker 1: really it really comes back. This is like one of 835 00:49:49,400 --> 00:49:52,480 Speaker 1: the biggest, my biggest problems with this information is that 836 00:49:53,000 --> 00:49:56,160 Speaker 1: we spend so much time, so much oxygen gets taken 837 00:49:56,200 --> 00:49:59,160 Speaker 1: out of the room for having the actual conversations that 838 00:49:59,239 --> 00:50:01,960 Speaker 1: we should be having conversations about things like policing and 839 00:50:02,040 --> 00:50:05,600 Speaker 1: things like real things. We don't spend time talking about 840 00:50:05,600 --> 00:50:07,920 Speaker 1: the real things because we're too busy talking about the 841 00:50:08,000 --> 00:50:10,520 Speaker 1: outrage around Mickey being by or something like that. Like 842 00:50:10,880 --> 00:50:13,440 Speaker 1: we've spent so much time on the ridiculous, but we 843 00:50:13,600 --> 00:50:16,840 Speaker 1: then don't get to the substitutive or the thoughtful, or 844 00:50:16,880 --> 00:50:19,080 Speaker 1: the things that are actually going to like get us 845 00:50:19,160 --> 00:50:21,120 Speaker 1: some progress and help us move forward. We just don't. 846 00:50:21,160 --> 00:50:22,480 Speaker 1: We don't have time to talk about it. We're too 847 00:50:22,520 --> 00:50:28,680 Speaker 1: busy talking about Mickey's So yes, oh man, well I'm 848 00:50:28,719 --> 00:50:30,560 Speaker 1: gonna give you that. I'm gonna say you won the 849 00:50:30,680 --> 00:50:33,320 Speaker 1: Factor cap game because I gave you a trick question. 850 00:50:34,560 --> 00:50:40,720 Speaker 1: And uh, I appreciate you participating. And I also appreciate 851 00:50:40,800 --> 00:50:43,040 Speaker 1: you participating with this show and making time for us. 852 00:50:43,080 --> 00:50:45,600 Speaker 1: Thank you so much for being here with us. This 853 00:50:45,920 --> 00:50:48,400 Speaker 1: was so much fun. I I'm so glad we were 854 00:50:48,400 --> 00:50:50,960 Speaker 1: able to make it happen. Uh. Yeah, you I love 855 00:50:51,000 --> 00:50:52,759 Speaker 1: I love the framework that you bring to this work. 856 00:50:52,800 --> 00:50:56,640 Speaker 1: It's really really great. Thank you, and I love your work. Again, everybody, 857 00:50:56,800 --> 00:50:59,120 Speaker 1: there are no girls on the internet, please listen to 858 00:50:59,200 --> 00:51:03,799 Speaker 1: this show. Like I, I have learned so much from 859 00:51:03,880 --> 00:51:07,840 Speaker 1: your show, from your presence even just now in this 860 00:51:08,120 --> 00:51:11,520 Speaker 1: you just you've taught me on this show. Uh yo, 861 00:51:11,760 --> 00:51:13,480 Speaker 1: this was so dope. Well and now where can they 862 00:51:13,520 --> 00:51:16,200 Speaker 1: follow you on the on the socials? You can find 863 00:51:16,280 --> 00:51:18,920 Speaker 1: me on Twitter at Bridget Marie or on Instagram at 864 00:51:18,960 --> 00:51:21,880 Speaker 1: Bridget Marie in d C. Bridget Marie in DC. Are 865 00:51:21,920 --> 00:51:24,959 Speaker 1: you from d C? I am Gordon raised my mama 866 00:51:25,040 --> 00:51:28,800 Speaker 1: from d C. Oh where about? So actually, here's a 867 00:51:28,800 --> 00:51:33,359 Speaker 1: funny story. She just wrote me like, uh, I mean 868 00:51:33,400 --> 00:51:36,919 Speaker 1: almost like a hundred page I just said off the top. 869 00:51:37,000 --> 00:51:38,319 Speaker 1: One day. I was like, you know, you never really 870 00:51:38,360 --> 00:51:40,800 Speaker 1: know your parents and she was like, you know, I 871 00:51:40,920 --> 00:51:42,359 Speaker 1: never thought of that. And then she was like, I'm 872 00:51:42,360 --> 00:51:48,920 Speaker 1: gonna write you a letter, so she listen. Started off 873 00:51:48,960 --> 00:51:52,040 Speaker 1: in southwest and then went to southeast to the east 874 00:51:52,120 --> 00:51:57,279 Speaker 1: up East Capital Projects, which are not there now. It's 875 00:51:58,000 --> 00:52:02,399 Speaker 1: uh the East Capital Urban Arm So it's a it's 876 00:52:02,400 --> 00:52:04,719 Speaker 1: an urban farm. They knocked it down. It's an urban 877 00:52:04,800 --> 00:52:06,680 Speaker 1: farm right there. But it was called the East Capitol 878 00:52:06,760 --> 00:52:11,200 Speaker 1: Projects right in southeast and uh, I'm trying to think 879 00:52:11,239 --> 00:52:14,120 Speaker 1: of the name of the street that goes all the 880 00:52:14,200 --> 00:52:17,400 Speaker 1: way out to like Upper Marlborough. It's like one street, 881 00:52:17,920 --> 00:52:20,600 Speaker 1: it's a two oh two, I don't know, but either way, 882 00:52:20,719 --> 00:52:23,960 Speaker 1: East Capital Projects that's where she was originally from. Then 883 00:52:24,040 --> 00:52:26,480 Speaker 1: they moved to by the time I was around, my 884 00:52:26,640 --> 00:52:32,440 Speaker 1: grandmother lived in Northwest on three eleven Taylor Street. So 885 00:52:33,360 --> 00:52:36,520 Speaker 1: and then but my family is a scattered plot my 886 00:52:36,640 --> 00:52:39,120 Speaker 1: mom's side. I'm going and raised in by my mom's side, 887 00:52:39,160 --> 00:52:43,080 Speaker 1: like Capital Heights. Uh, you know, I just left. Everybody 888 00:52:43,200 --> 00:52:45,960 Speaker 1: buried in Fort Lincoln on Blakesburg Road. That's where all 889 00:52:46,040 --> 00:52:48,600 Speaker 1: my family at. Um. I just left because we just 890 00:52:48,719 --> 00:52:51,560 Speaker 1: had a funeral. But yeah, Fort Lincoln Cemetery right on 891 00:52:51,640 --> 00:52:54,959 Speaker 1: Bladeburgh Road. So I am just a few blocks away 892 00:52:55,000 --> 00:52:59,520 Speaker 1: from Taylor as we've as we serious, Yeah, that's our 893 00:52:59,600 --> 00:53:03,920 Speaker 1: ground man, Taylor Street Dogs. Yeah, that was that was 894 00:53:04,000 --> 00:53:06,360 Speaker 1: my mama's hood. You know what I'm saying it shout 895 00:53:06,400 --> 00:53:08,880 Speaker 1: out this problems. You know what I'm saying. You know 896 00:53:08,880 --> 00:53:12,000 Speaker 1: I'm saying, d C Bama, you feel me. I remember 897 00:53:12,080 --> 00:53:14,160 Speaker 1: my cousins used to come out, like my my first 898 00:53:14,200 --> 00:53:17,080 Speaker 1: introduction to like go go, like when the they were coming, 899 00:53:17,120 --> 00:53:19,359 Speaker 1: they would bring tapes to me and I didn't get 900 00:53:19,400 --> 00:53:22,600 Speaker 1: it because I was like, these are already songs. You 901 00:53:22,760 --> 00:53:29,800 Speaker 1: just you just saying these are just bad recordings of 902 00:53:29,960 --> 00:53:31,920 Speaker 1: other songs like I was like, I don't get it 903 00:53:33,040 --> 00:53:35,640 Speaker 1: until I was old enough to go. And then once 904 00:53:35,719 --> 00:53:37,680 Speaker 1: I went to a Go Go, I was like, oh, 905 00:53:38,719 --> 00:53:42,399 Speaker 1: there is no there is no better turn up. There's 906 00:53:42,480 --> 00:53:45,400 Speaker 1: nothing like go go Like, there's nothing like it in 907 00:53:45,520 --> 00:53:47,239 Speaker 1: the world. If anyone's listening and you're like what is 908 00:53:47,280 --> 00:53:48,880 Speaker 1: go go, come to d C. I will take you 909 00:53:48,920 --> 00:53:50,120 Speaker 1: to a go go turn up. You will have the 910 00:53:50,239 --> 00:53:53,840 Speaker 1: best go like. That's what That's what I learned. You 911 00:53:53,920 --> 00:53:56,600 Speaker 1: have to go. Once I went, I was like I 912 00:53:56,719 --> 00:53:59,759 Speaker 1: get it now, yes, yes, And I'm saying this as 913 00:53:59,800 --> 00:54:02,759 Speaker 1: some that you cut me open. The Pacific Ocean comes 914 00:54:02,760 --> 00:54:06,000 Speaker 1: out like I ain't make California, but I was like 915 00:54:06,960 --> 00:54:10,880 Speaker 1: I understand that anyway. Thank you so much. One more 916 00:54:10,960 --> 00:54:15,640 Speaker 1: time d C Girl bridgets odd no girls on the Internet. 917 00:54:15,960 --> 00:54:24,520 Speaker 1: Thank you very much. Thank you. Ca cat ca ca 918 00:54:24,880 --> 00:54:33,080 Speaker 1: cap damn ca ca ca ca ca. Yeah, it's here. 919 00:54:33,120 --> 00:54:36,680 Speaker 1: Thing was recorded by Me Propaganda and Easlows, Boil Heights, 920 00:54:36,800 --> 00:54:41,440 Speaker 1: Los Angeles, California. This smug was mixed, edited, mastered, and 921 00:54:41,680 --> 00:54:46,399 Speaker 1: scored by Matt Ososki. I can totally say his name, guys. 922 00:54:46,480 --> 00:54:48,839 Speaker 1: It was it was a stick. He's going by Matt 923 00:54:48,920 --> 00:54:51,759 Speaker 1: now again because he got into some legal situations with 924 00:54:51,840 --> 00:54:54,160 Speaker 1: the name Headlights. Y'all know, common used to be called 925 00:54:54,200 --> 00:54:57,440 Speaker 1: common sense. You know, Tip t I was tipped Sometimes 926 00:54:57,480 --> 00:55:00,080 Speaker 1: it happens. Executive produced by the one and on me 927 00:55:00,200 --> 00:55:05,920 Speaker 1: Sophie Lectorman for a Cool Zone Media and the theme 928 00:55:06,040 --> 00:55:08,640 Speaker 1: music by the one and only Gold Tips, Gold Tips 929 00:55:08,760 --> 00:55:11,920 Speaker 1: d J Shawn p. So y'all just remember listen every 930 00:55:12,000 --> 00:55:15,360 Speaker 1: time you check in. If you understand city living, you 931 00:55:15,560 --> 00:55:25,040 Speaker 1: understand politics, We'll see you'll next week. Okay,