1 00:00:04,559 --> 00:00:11,840 Speaker 1: One Cosby on the beat, Twitter wraps, the Twitter wraps 2 00:00:11,840 --> 00:00:18,079 Speaker 1: to that reparations. You're listening waiting on reparations herending on Twitter. 3 00:00:18,160 --> 00:00:21,840 Speaker 1: All right, Funck Bryant Kim and all the voters suppression. 4 00:00:22,079 --> 00:00:25,520 Speaker 1: Motherfucker witness told the November election, I don't like to 5 00:00:25,600 --> 00:00:28,680 Speaker 1: see him, not in my reflection, and said, I want 6 00:00:28,680 --> 00:00:31,560 Speaker 1: to give him a fucking lesson. Show him what's your 7 00:00:31,640 --> 00:00:35,040 Speaker 1: leadership really look like? If you're trying to get right, 8 00:00:35,120 --> 00:00:38,160 Speaker 1: get that hook right, that hook right, because we don't 9 00:00:38,200 --> 00:00:40,839 Speaker 1: play funk all that crooked ship in the d o 10 00:00:41,040 --> 00:00:44,479 Speaker 1: j all. This ship seems word you nigga seems scared. 11 00:00:44,600 --> 00:00:48,120 Speaker 1: I'm looking at that hashtag and peach Ford because the 12 00:00:48,240 --> 00:00:51,800 Speaker 1: motherfucker's stealing it, and I think Trump's in the background 13 00:00:51,840 --> 00:00:55,400 Speaker 1: just feeling and dealing. He'd be staying on that same team. 14 00:00:55,440 --> 00:00:58,720 Speaker 1: I'm like jy'all Smith, I'll be high smoking dank green 15 00:00:58,880 --> 00:01:01,520 Speaker 1: speaking to jy'all. I really need to stop it. I 16 00:01:01,720 --> 00:01:05,120 Speaker 1: messing that game is the Lakers versus the Rockets. Uh, 17 00:01:05,440 --> 00:01:09,080 Speaker 1: Michael Sparko wildfire or maybe go put on some flager. 18 00:01:09,200 --> 00:01:12,040 Speaker 1: A tiger like my name was ice Cube yelling at 19 00:01:12,200 --> 00:01:16,880 Speaker 1: people and getting politicians to make we legal no fudget. 20 00:01:16,920 --> 00:01:20,080 Speaker 1: I hope they have some firefighters in the California budgets 21 00:01:20,240 --> 00:01:23,880 Speaker 1: because right now they fucking running because it's an exodus. No, 22 00:01:24,040 --> 00:01:26,360 Speaker 1: it's not the best of this. It's the climate change 23 00:01:26,400 --> 00:01:29,640 Speaker 1: disaster coming to the master bedroom of your house in 24 00:01:29,680 --> 00:01:32,840 Speaker 1: the middle of the valley. And I'm saying, the police 25 00:01:32,920 --> 00:01:40,839 Speaker 1: kissing the white girl. Let a Trump rally, dope knife 26 00:01:41,000 --> 00:01:43,759 Speaker 1: linger Franco waiting on reparations. You know who we are. 27 00:01:43,800 --> 00:01:48,440 Speaker 1: You know what it is? Back again another week? How 28 00:01:48,560 --> 00:01:51,440 Speaker 1: you doing? How how's the teaching? How's how the class 29 00:01:51,520 --> 00:01:54,680 Speaker 1: is gone? Is it all online? It's been split in 30 00:01:54,760 --> 00:01:57,480 Speaker 1: person online? So my the class, the main class that 31 00:01:57,560 --> 00:02:01,160 Speaker 1: I teach, it's there's twenty students in it because of 32 00:02:01,200 --> 00:02:04,920 Speaker 1: social distancing. However, only twelve of them can fit in 33 00:02:04,920 --> 00:02:08,240 Speaker 1: the classroom at any given time. So I have to 34 00:02:08,240 --> 00:02:11,800 Speaker 1: teach one class to folks that want to come, and 35 00:02:11,840 --> 00:02:15,400 Speaker 1: then a second version of the same lecture on zoom 36 00:02:15,440 --> 00:02:18,560 Speaker 1: every Tuesday. So it's twice the work for the exact 37 00:02:18,560 --> 00:02:20,920 Speaker 1: same amount of money. And I definitely love that a 38 00:02:20,960 --> 00:02:25,600 Speaker 1: great deal. Um, But I've been drinking, so I started 39 00:02:25,680 --> 00:02:29,120 Speaker 1: drinking like two gallons of water every day, any particular 40 00:02:29,160 --> 00:02:34,600 Speaker 1: reason why, No, just because I'm depressed, and that's for solutions. 41 00:02:34,760 --> 00:02:38,079 Speaker 1: Be careful about that. I remember d legend back from 42 00:02:38,080 --> 00:02:40,760 Speaker 1: when I was a little kid about some lady who 43 00:02:40,840 --> 00:02:44,120 Speaker 1: kept drinking too much water and then like she perished. 44 00:02:44,440 --> 00:02:47,680 Speaker 1: I don't know if that ship is true. It sounded true, 45 00:02:48,120 --> 00:02:53,400 Speaker 1: it doesn't sound true right now because he used the 46 00:02:53,520 --> 00:02:57,160 Speaker 1: verb perish and then she perished. It sounds like the 47 00:02:57,320 --> 00:03:03,080 Speaker 1: scary story You're like, like, being great on water does? 48 00:03:04,120 --> 00:03:08,240 Speaker 1: Like I started off saying that because I've been drinking 49 00:03:08,240 --> 00:03:10,079 Speaker 1: two gallons of water every day and I've just had 50 00:03:10,160 --> 00:03:14,160 Speaker 1: limitless energy. Today I worked on grading for like four 51 00:03:14,240 --> 00:03:19,080 Speaker 1: hours straight and recorded this bomb mass like video lecture 52 00:03:19,240 --> 00:03:20,919 Speaker 1: and was just really on top of my ship and 53 00:03:21,040 --> 00:03:25,600 Speaker 1: felt actually hopeful about teaching in this god forsaken pandemic 54 00:03:25,800 --> 00:03:31,240 Speaker 1: with this god forsaken school open. So would you say 55 00:03:31,280 --> 00:03:34,720 Speaker 1: that other teachers like in Georgia have it worse, considering 56 00:03:34,880 --> 00:03:37,080 Speaker 1: you know how they're kind of forcing everything to be 57 00:03:37,120 --> 00:03:39,640 Speaker 1: open and should I mean, yeah, schools, there's a lot 58 00:03:39,640 --> 00:03:42,680 Speaker 1: of school systems that school districts that are open for 59 00:03:42,760 --> 00:03:45,800 Speaker 1: in person class and the public schools. Um I mean, 60 00:03:45,840 --> 00:03:51,080 Speaker 1: I think among public higher education institutions, Georgia is just 61 00:03:51,160 --> 00:03:54,960 Speaker 1: doing one of the worst jobs imaginable. Zero transparency with 62 00:03:55,000 --> 00:03:58,440 Speaker 1: regards to their COVID numbers. Story came out a couple 63 00:03:58,440 --> 00:04:01,760 Speaker 1: of days ago saying they trained bunch of contract contact 64 00:04:01,800 --> 00:04:04,880 Speaker 1: tracers over the summer and then didn't hire them to 65 00:04:05,000 --> 00:04:08,120 Speaker 1: do contact tracing and sell straight upline about you. That 66 00:04:08,280 --> 00:04:11,840 Speaker 1: is straight up just misleading everyone. Speaking of misleading, have 67 00:04:11,960 --> 00:04:15,800 Speaker 1: you been hearing about the deep fake videos coming out? 68 00:04:16,040 --> 00:04:19,520 Speaker 1: I mean, you know, at this point, I kind of 69 00:04:19,560 --> 00:04:21,640 Speaker 1: even feel that it would be irresponsible for me to 70 00:04:21,640 --> 00:04:25,320 Speaker 1: even repeat the video that I'm talking about, because I 71 00:04:25,320 --> 00:04:27,240 Speaker 1: wouldn't want to drive people to like go look for 72 00:04:27,320 --> 00:04:33,000 Speaker 1: it and ship. But I've started seeing um fake videos 73 00:04:33,040 --> 00:04:37,240 Speaker 1: of Joe Biden and other Democratic political figures popping up 74 00:04:37,240 --> 00:04:39,279 Speaker 1: in my feet and stuff like that, and people that like, 75 00:04:39,360 --> 00:04:43,640 Speaker 1: you know, sharing it like like it's the gospel truth, 76 00:04:43,720 --> 00:04:46,440 Speaker 1: and it's like you have to kind of pull them aside, like, 77 00:04:46,480 --> 00:04:50,920 Speaker 1: hey man, uh, probably not wise to share the first 78 00:04:50,920 --> 00:04:52,400 Speaker 1: thing you see when you log on. You know what 79 00:04:52,440 --> 00:04:55,200 Speaker 1: I'm saying, you might want to that. It's just just 80 00:04:55,240 --> 00:04:57,240 Speaker 1: one of those things in the background that I've been 81 00:04:57,240 --> 00:05:00,279 Speaker 1: noticing that's just kind of getting a little alarming. But 82 00:05:00,600 --> 00:05:02,480 Speaker 1: this day would come. I knew this day would come. 83 00:05:02,760 --> 00:05:05,400 Speaker 1: Oh yeah, yeah for so today, So we're gonna take 84 00:05:05,400 --> 00:05:09,480 Speaker 1: a little break from our usual historic deep dives into 85 00:05:10,120 --> 00:05:13,120 Speaker 1: the inter link juice between hip hop and public policy 86 00:05:13,160 --> 00:05:15,080 Speaker 1: and kind of look at what's going on with real 87 00:05:15,120 --> 00:05:17,520 Speaker 1: time with the singles and music videos that have dropped 88 00:05:17,520 --> 00:05:20,560 Speaker 1: in the past week in their relationships to current events 89 00:05:20,720 --> 00:05:30,120 Speaker 1: and public policy. So I want to start out by 90 00:05:30,160 --> 00:05:32,720 Speaker 1: wishing a happy birthday too Easy, who would have been 91 00:05:32,800 --> 00:05:35,520 Speaker 1: fifty six years old on Monday. He was fondly remembered 92 00:05:35,560 --> 00:05:38,719 Speaker 1: by fellow indow w a remember nice que on social media, 93 00:05:39,480 --> 00:05:44,760 Speaker 1: and he died of AIDS induced pneumonia on March Goddamn 94 00:05:44,880 --> 00:05:49,080 Speaker 1: n fucking crazy. You know, I remember when that ship happened. 95 00:05:49,160 --> 00:05:52,520 Speaker 1: I was a huge N Wave fan, and I was 96 00:05:52,560 --> 00:05:54,400 Speaker 1: a fan of all that gangster rap shot when I 97 00:05:54,440 --> 00:05:56,600 Speaker 1: was a little kid, ship that I probably shouldn't have 98 00:05:56,640 --> 00:05:58,919 Speaker 1: been listening to, but Easy, he was definitely one of 99 00:05:58,920 --> 00:06:01,440 Speaker 1: my favorites back in the day. Yo. Imagine going to 100 00:06:01,480 --> 00:06:03,520 Speaker 1: the doctor for a cough and finding out you have 101 00:06:03,640 --> 00:06:07,120 Speaker 1: fucking AIDS. Wrap it up, Wrap that shut up. Be Yeah, 102 00:06:07,200 --> 00:06:09,760 Speaker 1: and June of the year of his death, the fter day, 103 00:06:09,760 --> 00:06:13,000 Speaker 1: I approved the first proteins inhibitor, beginning a new era 104 00:06:13,080 --> 00:06:17,160 Speaker 1: of highly active anti retroviral treatments or HEART for AIDS. 105 00:06:17,240 --> 00:06:21,400 Speaker 1: Treatment for AIDS um ones incorporated into clinical practice. Heart 106 00:06:21,440 --> 00:06:25,360 Speaker 1: brought an immediate decline of between six and rates of 107 00:06:25,440 --> 00:06:29,839 Speaker 1: AIDS related deaths and hospitalizations and countries that could afford it. Damn. 108 00:06:30,080 --> 00:06:31,760 Speaker 1: So if you lived just a few more months, he 109 00:06:31,800 --> 00:06:34,520 Speaker 1: would have been alive to or able to get the 110 00:06:34,520 --> 00:06:37,000 Speaker 1: treatment for the treatment. Yeah, you know, and I mean 111 00:06:37,040 --> 00:06:40,880 Speaker 1: you never know what happens. You know very well could 112 00:06:40,880 --> 00:06:43,920 Speaker 1: still be alive. Yeah, So what what do you think 113 00:06:43,960 --> 00:06:46,000 Speaker 1: Easy would be like if he had lived to be 114 00:06:46,040 --> 00:06:48,560 Speaker 1: in middle aged man like ice Cube is now? It's 115 00:06:48,720 --> 00:06:52,960 Speaker 1: those are hard questions to answer because it's like it's 116 00:06:53,000 --> 00:06:55,919 Speaker 1: like the last memory that you have of someone like 117 00:06:56,000 --> 00:06:59,159 Speaker 1: Easy is when he was in his late twenties, you 118 00:06:59,160 --> 00:07:01,560 Speaker 1: know what I mean. So it's it's like that we 119 00:07:01,600 --> 00:07:03,560 Speaker 1: will never know what he would have been like if 120 00:07:03,560 --> 00:07:05,680 Speaker 1: he had grown older, you would have done like are 121 00:07:05,720 --> 00:07:09,680 Speaker 1: we there yet experienced exactly? If you experienced the world 122 00:07:09,720 --> 00:07:12,240 Speaker 1: as we all experienced, it been a point where he's like, man, 123 00:07:12,880 --> 00:07:15,280 Speaker 1: I need to, I need to Where's where's the scripts? 124 00:07:15,520 --> 00:07:18,640 Speaker 1: Where's are we there yet? Where's you know? Where's bad boys? 125 00:07:19,200 --> 00:07:22,760 Speaker 1: I could totally imagine Easy is one of the cops 126 00:07:22,800 --> 00:07:25,600 Speaker 1: and bad boys. Like I mean, I'm not saying that 127 00:07:25,640 --> 00:07:28,840 Speaker 1: he should replace Martin, but if it was Easy and 128 00:07:28,880 --> 00:07:33,520 Speaker 1: Will Smith, wouldn't that have been Hi Easy ear and 129 00:07:33,640 --> 00:07:36,200 Speaker 1: Will Smith in the Buddy Cop movie, that would be dope. 130 00:07:36,400 --> 00:07:40,320 Speaker 1: Make a deep fake, make it happen. Yeah, I'll come, y'a. 131 00:07:40,320 --> 00:07:43,560 Speaker 1: Don't make deep fakes a positive ship like that. Um, 132 00:07:43,680 --> 00:07:46,080 Speaker 1: it's always like Joe Biden's face and the WAT music 133 00:07:46,160 --> 00:07:49,760 Speaker 1: video or something terrible, something to hout your your dreams 134 00:07:49,800 --> 00:07:53,360 Speaker 1: and your nightmares and Ben Shapiro as Shakira or something 135 00:07:53,480 --> 00:07:55,640 Speaker 1: to fucking hot my night marethew I thank you so 136 00:07:55,760 --> 00:07:58,400 Speaker 1: speaking of Easy in this protege ice Cube, like you're saying. 137 00:07:58,440 --> 00:08:01,160 Speaker 1: Ice Cube sat out the primary in terms of supporting 138 00:08:01,160 --> 00:08:04,080 Speaker 1: a candidate, but he recently took to Twitter to support 139 00:08:04,120 --> 00:08:06,320 Speaker 1: the Black of Agenda, and he urged his followers to 140 00:08:06,360 --> 00:08:09,280 Speaker 1: be skeptical of anyone telling you to vote but discouraging 141 00:08:09,280 --> 00:08:11,920 Speaker 1: you from asking anything. And so it's interesting to me 142 00:08:12,000 --> 00:08:16,160 Speaker 1: because he's sort of like being like scoffed at by 143 00:08:16,160 --> 00:08:18,120 Speaker 1: the left for like, where were you when we had 144 00:08:18,200 --> 00:08:20,760 Speaker 1: the choice of multiple candidates who are like trying to 145 00:08:20,840 --> 00:08:24,080 Speaker 1: offer us something or like inviting us to ask them 146 00:08:24,160 --> 00:08:27,360 Speaker 1: for stuff as a part of gaining our support, whereas 147 00:08:27,400 --> 00:08:32,640 Speaker 1: now the center left the liberals are like, shut up 148 00:08:32,720 --> 00:08:36,800 Speaker 1: and vote because we have an existential threat of fascism 149 00:08:36,960 --> 00:08:39,480 Speaker 1: in the White House right now. And so he's kind 150 00:08:39,480 --> 00:08:42,280 Speaker 1: of getting shipped on by everybody. I mean, he didn't 151 00:08:42,280 --> 00:08:44,560 Speaker 1: he did he not have like a thing where somebody 152 00:08:44,600 --> 00:08:47,280 Speaker 1: thought or did he posted something that was like anti 153 00:08:47,320 --> 00:08:50,079 Speaker 1: semitic too or something like that. I remember his name 154 00:08:50,120 --> 00:08:51,960 Speaker 1: being brought up around the time of the Nick Cannon 155 00:08:52,000 --> 00:08:56,360 Speaker 1: thing too. I think it's weird that anyone that's like 156 00:08:56,440 --> 00:09:01,520 Speaker 1: part of any sort of political establishment is um looking 157 00:09:01,559 --> 00:09:04,680 Speaker 1: too ice Cube to like co sign what they're doing. 158 00:09:04,960 --> 00:09:07,120 Speaker 1: I mean, trust me, you listen to ice cubes music, 159 00:09:07,160 --> 00:09:10,840 Speaker 1: and you know he definitely he has an understanding of 160 00:09:10,880 --> 00:09:14,040 Speaker 1: the issues, but ice Cube doesn't funk with them. Like 161 00:09:14,200 --> 00:09:16,480 Speaker 1: what in the world would make them think that ice 162 00:09:16,559 --> 00:09:20,800 Speaker 1: Cube would just be on board because the team Democrat. 163 00:09:21,320 --> 00:09:23,400 Speaker 1: I don't know, that's weird. Ship that must be like 164 00:09:23,480 --> 00:09:26,880 Speaker 1: being on Twitter and having too much access to people 165 00:09:26,920 --> 00:09:29,520 Speaker 1: and thinking it's like, oh, yes, let me tell ice 166 00:09:29,600 --> 00:09:32,520 Speaker 1: Cube who to vote for, how to vote, or what 167 00:09:32,600 --> 00:09:35,480 Speaker 1: I think about his vote. Yeah. I mean it's also 168 00:09:35,559 --> 00:09:37,640 Speaker 1: interesting to think along the same lines. You're just talking 169 00:09:37,640 --> 00:09:41,320 Speaker 1: about what easy ease political development would have been had 170 00:09:41,320 --> 00:09:44,680 Speaker 1: he lived to this day, Kevin that they you know, 171 00:09:44,800 --> 00:09:49,200 Speaker 1: had a very critical stance of the police and you know, 172 00:09:49,360 --> 00:09:52,160 Speaker 1: armed agents of the state in this current period, what 173 00:09:53,080 --> 00:09:55,120 Speaker 1: side he would have fallen on. Because a lot of 174 00:09:55,120 --> 00:09:57,600 Speaker 1: folks grow up and they and they mature and they 175 00:09:57,640 --> 00:10:00,760 Speaker 1: grow more conservative, I personally don't understand mat I've gotten 176 00:10:00,760 --> 00:10:02,960 Speaker 1: more and more left wing. Is older I get, the 177 00:10:03,000 --> 00:10:05,160 Speaker 1: more I learned about how funked up everything is, the 178 00:10:05,200 --> 00:10:08,160 Speaker 1: more I'm like, yes, it might be clear all the 179 00:10:08,200 --> 00:10:12,760 Speaker 1: major industries. Uh. I don't know if this affects any 180 00:10:12,800 --> 00:10:16,120 Speaker 1: of that. But I think another ingredient of the whole 181 00:10:16,200 --> 00:10:19,719 Speaker 1: growing older thing is having a kid. Yeah, I think 182 00:10:19,760 --> 00:10:21,840 Speaker 1: that can be part of it too, So because I 183 00:10:21,880 --> 00:10:23,800 Speaker 1: feel the same way. It's like the older that I'm 184 00:10:23,840 --> 00:10:28,480 Speaker 1: getting and this is like truth, the older that I've gotten, 185 00:10:28,520 --> 00:10:33,320 Speaker 1: the more left I my, my, my, you know, the 186 00:10:33,400 --> 00:10:37,600 Speaker 1: thought patterns have been but the friends of mine who 187 00:10:38,080 --> 00:10:41,000 Speaker 1: I have noticed have become more conservatives older, they've gotten 188 00:10:41,400 --> 00:10:44,920 Speaker 1: the one common ingredient to that is like a kid 189 00:10:45,000 --> 00:10:48,600 Speaker 1: or two. Interesting, I can't relate. I'm looking at my 190 00:10:48,640 --> 00:10:52,480 Speaker 1: only child and he is uh, laying on my hoodie 191 00:10:52,559 --> 00:10:57,160 Speaker 1: and orange and flapping his tail around because he is 192 00:10:57,240 --> 00:11:00,760 Speaker 1: a cat, and he probably will be my only child ever, 193 00:11:00,960 --> 00:11:03,080 Speaker 1: because I don't think I'll ever be able to afford 194 00:11:03,120 --> 00:11:11,160 Speaker 1: to have children in this economy and in this climate literal, physical, geological, astronomical. 195 00:11:12,320 --> 00:11:16,680 Speaker 1: Somebody asked me that question just a few days ago. Um, 196 00:11:16,800 --> 00:11:19,200 Speaker 1: I had caught up with an old just through the 197 00:11:19,280 --> 00:11:22,360 Speaker 1: power of Facebook. I had caught up with a old 198 00:11:22,480 --> 00:11:26,640 Speaker 1: friend from like fifth grade or some ship, and she 199 00:11:26,720 --> 00:11:28,880 Speaker 1: was like, do you have any kids? I was like nah. 200 00:11:29,240 --> 00:11:32,000 Speaker 1: Then she says, are you planning on having kids? If 201 00:11:32,000 --> 00:11:35,040 Speaker 1: you would ask me this like eight months ago? I 202 00:11:35,120 --> 00:11:40,440 Speaker 1: might have said, but asking me right now, asking me 203 00:11:40,600 --> 00:11:45,760 Speaker 1: in August, I don't really know that. But let's get 204 00:11:45,760 --> 00:11:47,800 Speaker 1: back to what we were talking about with the FDA. 205 00:11:48,480 --> 00:11:51,120 Speaker 1: So the groundbreaking AIDS treatment that came too late for 206 00:11:51,200 --> 00:11:55,040 Speaker 1: easy was expedited for clinical use through the FDA's accelerated 207 00:11:55,040 --> 00:11:58,559 Speaker 1: approve of regulation which allows drugs for serious conditions that 208 00:11:58,679 --> 00:12:01,400 Speaker 1: fill an unmet medical to be approved based on a 209 00:12:01,480 --> 00:12:04,720 Speaker 1: surrogate endpoint or sign used in place of another sign 210 00:12:04,760 --> 00:12:07,160 Speaker 1: to tell if the treatment works and give health providers 211 00:12:07,160 --> 00:12:09,200 Speaker 1: the wiggle room to use approaches during a public health 212 00:12:09,240 --> 00:12:13,280 Speaker 1: emergency that have a likely benefit. An FDA Commissioner, Stephen 213 00:12:13,320 --> 00:12:15,679 Speaker 1: Hahn Hassett, he's open to pursue of this avenue with 214 00:12:15,720 --> 00:12:19,080 Speaker 1: the coronavirus vaccine, Trump claimed on Monday that a vaccine 215 00:12:19,080 --> 00:12:21,880 Speaker 1: could be available by October through with operational warp speed 216 00:12:22,080 --> 00:12:25,360 Speaker 1: public private partner. That's a stupid name. I just I 217 00:12:25,800 --> 00:12:28,360 Speaker 1: you know. I'm sorry, sorry to cut you off, but 218 00:12:29,000 --> 00:12:32,920 Speaker 1: that's a stupid fucking name. Sorry anyway. The New York 219 00:12:32,960 --> 00:12:35,880 Speaker 1: Times obtained documents sent to the state and city officials 220 00:12:35,920 --> 00:12:40,320 Speaker 1: in August to indicate the CDC is already instructing hospitals 221 00:12:40,400 --> 00:12:44,360 Speaker 1: to begin preparing personnel, freezers and distribution sites to administer 222 00:12:44,480 --> 00:12:46,880 Speaker 1: a vaccine as soon as late October. So we got 223 00:12:46,880 --> 00:12:49,079 Speaker 1: all this rushing, we got Trump rushing. We've got the 224 00:12:49,160 --> 00:12:51,400 Speaker 1: CDC sending the ship out to state and city officials, 225 00:12:51,440 --> 00:12:54,439 Speaker 1: trying to prep hospitals for distributing a vaccine. But on 226 00:12:54,480 --> 00:12:57,800 Speaker 1: the flip side, nine companies leading the charge to develop 227 00:12:57,880 --> 00:13:01,520 Speaker 1: a COVID nineteen vaccine released a pled on Tuesday, stick 228 00:13:01,559 --> 00:13:03,640 Speaker 1: to the science and the development and licensing of the 229 00:13:03,760 --> 00:13:06,480 Speaker 1: vaccine and not given to political pressures speed up the 230 00:13:06,520 --> 00:13:09,880 Speaker 1: process for convenience. So here we are the coronavirus cases 231 00:13:09,920 --> 00:13:12,520 Speaker 1: in the United States topping six point three million and 232 00:13:12,600 --> 00:13:15,400 Speaker 1: the confirmed death toll at over one eighty nine thousand, 233 00:13:16,160 --> 00:13:18,880 Speaker 1: as well with the knowledge that expedited FDA propl for 234 00:13:18,960 --> 00:13:21,760 Speaker 1: an eighth treatment came too late to save easy ease life. 235 00:13:21,800 --> 00:13:23,760 Speaker 1: And I, you know, I'm wondering who the next e 236 00:13:24,040 --> 00:13:28,000 Speaker 1: could be without fast action from the pharmaceutical companies. So 237 00:13:29,040 --> 00:13:32,520 Speaker 1: how do we feel about a vaccine? I don't know. 238 00:13:33,200 --> 00:13:36,120 Speaker 1: This is the sort of things that ship away of 239 00:13:36,240 --> 00:13:40,160 Speaker 1: people's trust in these bureaucracies and things like that. And 240 00:13:40,320 --> 00:13:43,120 Speaker 1: if you have half of the country that doesn't trust 241 00:13:43,200 --> 00:13:46,360 Speaker 1: the word that comes out of Donald Trump's mouth, and 242 00:13:47,600 --> 00:13:49,560 Speaker 1: I don't want it. I don't want any rushed ship. 243 00:13:50,240 --> 00:13:52,600 Speaker 1: I don't want any rush ship in my events dead. 244 00:13:52,640 --> 00:13:55,840 Speaker 1: As a matter of fact, I'm not entirely sure how 245 00:13:55,880 --> 00:13:58,120 Speaker 1: the science works, but I think that could potentially make 246 00:13:58,320 --> 00:14:02,440 Speaker 1: the whole entire thing worse right, Like, so, I don't 247 00:14:02,440 --> 00:14:04,559 Speaker 1: see any reason to risk it. What I do know 248 00:14:05,840 --> 00:14:10,840 Speaker 1: is that I've seen video of it raining and Donald 249 00:14:10,840 --> 00:14:14,040 Speaker 1: Trump say that it's not raining. You feel me? Yeah, 250 00:14:14,120 --> 00:14:16,640 Speaker 1: so funk that I'm not. I'm not taking it. I'm not. 251 00:14:16,840 --> 00:14:19,400 Speaker 1: I'm sorry. Like, yeah, I never thought I would be 252 00:14:19,480 --> 00:14:22,400 Speaker 1: pushed at this point where like, I'm so mistrustful of 253 00:14:22,440 --> 00:14:27,680 Speaker 1: a government that a life saving medical treatment. You have 254 00:14:27,800 --> 00:14:31,440 Speaker 1: to like think twice about it from you now, if 255 00:14:31,480 --> 00:14:33,720 Speaker 1: it's like something we're in, you know, who are the 256 00:14:33,800 --> 00:14:37,520 Speaker 1: trusted sources and who aren't You know that at this 257 00:14:37,720 --> 00:14:40,760 Speaker 1: point it's it sucks to fucking say. But at this point, 258 00:14:40,840 --> 00:14:44,000 Speaker 1: every you know, everyone's got their bubble of who they trust. 259 00:14:44,440 --> 00:14:47,640 Speaker 1: I'm more so looking for what most doctors and scientists 260 00:14:47,680 --> 00:14:51,760 Speaker 1: are saying, you know. So if they should co sign 261 00:14:51,800 --> 00:14:54,720 Speaker 1: it and be like, hey, no, you know, this is 262 00:14:54,800 --> 00:14:57,360 Speaker 1: what's up, then I guess that would kind of put 263 00:14:57,440 --> 00:15:00,720 Speaker 1: my mind at ease. But does it make you feel 264 00:15:00,720 --> 00:15:03,080 Speaker 1: any better that these companies have signed under this pledge 265 00:15:03,120 --> 00:15:04,920 Speaker 1: saying They're not going to about a political pressure and 266 00:15:04,920 --> 00:15:06,760 Speaker 1: I'm going to stick to the science and the development 267 00:15:06,800 --> 00:15:10,000 Speaker 1: of the vaccine. Yeah, it does. But then that makes 268 00:15:10,200 --> 00:15:13,880 Speaker 1: because I never thought I would trust fucking pharmaceutical capitalists 269 00:15:13,880 --> 00:15:16,000 Speaker 1: who make all this money off of like human pain 270 00:15:16,080 --> 00:15:22,080 Speaker 1: and suffering. Do they have something to gain by like 271 00:15:22,200 --> 00:15:25,720 Speaker 1: duping people in this in this sense with coronavirus, I guess, 272 00:15:25,760 --> 00:15:27,680 Speaker 1: and not in this specific sense. I mean they do 273 00:15:27,840 --> 00:15:30,320 Speaker 1: profit off of people staying sick. If someone needs to 274 00:15:30,400 --> 00:15:32,880 Speaker 1: buy more and more of their medicine every month, it's 275 00:15:32,920 --> 00:15:35,080 Speaker 1: more profitable for them to make that medicine then to 276 00:15:35,160 --> 00:15:37,320 Speaker 1: make pure I wonder what the numbers would be in 277 00:15:37,480 --> 00:15:40,560 Speaker 1: terms of how many people are who don't have serious 278 00:15:40,720 --> 00:15:45,080 Speaker 1: cases of coronavirus are getting treatment. I mean, for real, 279 00:15:45,200 --> 00:15:48,720 Speaker 1: like it would probably be this is totally just pulling 280 00:15:48,760 --> 00:15:52,480 Speaker 1: out the ask, but I would imagine that most motherfucker's, 281 00:15:52,560 --> 00:15:55,440 Speaker 1: especially in this economy, most people that end up feeling 282 00:15:55,520 --> 00:15:59,280 Speaker 1: some symptoms that aren't serious that it's just like yeah, 283 00:15:59,320 --> 00:16:01,040 Speaker 1: it's like, hey, I'm just gonna write it out. So, 284 00:16:01,800 --> 00:16:03,640 Speaker 1: as one of the artists says in a song, We're 285 00:16:03,640 --> 00:16:07,240 Speaker 1: gonna look at a little bit later. Uh, finding off 286 00:16:07,280 --> 00:16:10,680 Speaker 1: a virus with hot water and lemon peel is what 287 00:16:10,760 --> 00:16:13,240 Speaker 1: a lot of people are resorting to. I'm pretty sure 288 00:16:13,280 --> 00:16:15,160 Speaker 1: I can speak from Oria, and she says, we're not 289 00:16:15,400 --> 00:16:19,920 Speaker 1: like condoning any anti vaxx ship. I want everyone to 290 00:16:20,040 --> 00:16:22,640 Speaker 1: like use their best judgment to read, stay up on, 291 00:16:23,320 --> 00:16:25,280 Speaker 1: you know, whether or not they're doing their due diligence 292 00:16:25,360 --> 00:16:28,880 Speaker 1: with these clinical trials, you know, keep tabs on what's 293 00:16:28,920 --> 00:16:31,480 Speaker 1: happening with the CDC, is happening with the FDA, and 294 00:16:31,560 --> 00:16:35,560 Speaker 1: try to, like dicern you know, what what's best for you. 295 00:16:35,840 --> 00:16:41,240 Speaker 1: I'm not at all endorsing everyone, uh but boycotting the 296 00:16:41,320 --> 00:16:43,680 Speaker 1: vaccine or anything like that. I'm just stating personally how 297 00:16:43,720 --> 00:16:46,840 Speaker 1: I feel right now. But I mean, I just maybe 298 00:16:46,920 --> 00:16:49,600 Speaker 1: it's probably because I have a news overload too, but again, 299 00:16:49,760 --> 00:16:52,560 Speaker 1: it's just I'm looking at the people who are in charge. 300 00:16:52,640 --> 00:16:54,840 Speaker 1: That's who I'm taking my cue from. And the people 301 00:16:54,960 --> 00:16:59,240 Speaker 1: who are in charge have given me no reason to 302 00:16:59,480 --> 00:17:03,600 Speaker 1: believe that like my safety or well being is a concern. 303 00:17:04,040 --> 00:17:05,200 Speaker 1: That's the way that I look at it. You know 304 00:17:05,240 --> 00:17:07,960 Speaker 1: what I'm saying. Now, it's like a feeling that you 305 00:17:08,160 --> 00:17:11,120 Speaker 1: you normally have no matter who the people in charge are, 306 00:17:11,440 --> 00:17:15,439 Speaker 1: but now it's like really like, oh, Ship, these motherfucker's, 307 00:17:16,400 --> 00:17:18,960 Speaker 1: these other bugs really were just cool and just like 308 00:17:19,119 --> 00:17:23,040 Speaker 1: let a whole pandemic, like funk up the whole country, 309 00:17:23,240 --> 00:17:28,080 Speaker 1: you know. So I I don't I can't be the 310 00:17:28,160 --> 00:17:30,800 Speaker 1: only person that feels that way. That Like, let's say 311 00:17:30,840 --> 00:17:33,760 Speaker 1: Trump wins and then they get the vaccine. He's like, here, 312 00:17:33,800 --> 00:17:36,680 Speaker 1: you go take it. Take I I just I think 313 00:17:36,720 --> 00:17:38,560 Speaker 1: there's gonna be a lot of people that are gonna 314 00:17:39,080 --> 00:17:41,560 Speaker 1: not want to. And that'sm not saying that's a good thing, 315 00:17:41,800 --> 00:17:43,760 Speaker 1: you know, I'm just saying I think a lot of 316 00:17:43,800 --> 00:17:45,359 Speaker 1: people are gonna feel that way. A lot of people 317 00:17:45,400 --> 00:17:50,400 Speaker 1: don't trust him or his administration that they would feel 318 00:17:50,440 --> 00:17:53,960 Speaker 1: comfortable with taking some rushed vaccine. And it's a moment 319 00:17:54,040 --> 00:17:56,919 Speaker 1: of expanded empathy, you know, Like I've never really empathized 320 00:17:56,960 --> 00:17:59,880 Speaker 1: with the anti vax position in general. I haven't read 321 00:18:00,040 --> 00:18:01,720 Speaker 1: what those folks have read, so I'm not really sure 322 00:18:01,720 --> 00:18:04,040 Speaker 1: where they're coming from in terms of what perceived science 323 00:18:04,200 --> 00:18:07,760 Speaker 1: is behind that position with regards to vaccine is causing 324 00:18:07,800 --> 00:18:10,800 Speaker 1: office and things like that. But it's like, I get 325 00:18:10,880 --> 00:18:14,160 Speaker 1: it now, it's mistrust of the government. Like, oh man, 326 00:18:14,440 --> 00:18:17,360 Speaker 1: I think that's get it. I think that's what most 327 00:18:17,400 --> 00:18:19,280 Speaker 1: of it is. It's just the mistrust of the government. 328 00:18:19,359 --> 00:18:21,359 Speaker 1: It just depends on which government, what part of the 329 00:18:21,440 --> 00:18:25,159 Speaker 1: government or aspect of the government you don't trust, You 330 00:18:25,200 --> 00:18:39,879 Speaker 1: know what I'm saying. All Right, I'm next. We're going 331 00:18:39,920 --> 00:18:42,160 Speaker 1: to talk about the new single from my Gian Canadian 332 00:18:42,240 --> 00:18:45,399 Speaker 1: rapper Toby featuring Jewels, entitled Dollars and Cents. Let's give 333 00:18:45,440 --> 00:18:47,840 Speaker 1: it a spin. Making examp taking at the game the 334 00:18:47,960 --> 00:18:52,200 Speaker 1: minute I was making a plan? Where did it gives 335 00:18:52,320 --> 00:18:57,480 Speaker 1: me a j I D vibe? I get a strong 336 00:18:57,680 --> 00:19:00,840 Speaker 1: Anderson pack vibe and in the in the vocal style wars, 337 00:19:01,160 --> 00:19:04,760 Speaker 1: it's got this like this that's almost whiny edge to it, 338 00:19:05,000 --> 00:19:08,199 Speaker 1: but like it's kind of like allerting. You said, he's 339 00:19:08,280 --> 00:19:11,960 Speaker 1: Nigerian Canadian. Yeah, so I really dig the video. That's 340 00:19:12,000 --> 00:19:15,000 Speaker 1: a really original take on doing a video for the 341 00:19:15,119 --> 00:19:19,960 Speaker 1: Corona virus era. So pretty much in the video he's 342 00:19:20,040 --> 00:19:24,760 Speaker 1: having a FaceTime chat in different scenes with a significant 343 00:19:24,800 --> 00:19:28,200 Speaker 1: other while she's like dancing around the apartment. She's over 344 00:19:28,320 --> 00:19:32,320 Speaker 1: in Lagos, Nigeria and he's in Toronto, Canada. Yeah. Toby 345 00:19:32,400 --> 00:19:34,479 Speaker 1: told Okay Africa that he was supposed to go back 346 00:19:34,520 --> 00:19:38,119 Speaker 1: to Nigerian in March, but the pandemic scuttled those plans, 347 00:19:38,119 --> 00:19:40,000 Speaker 1: so he made a music video to capture connecting with 348 00:19:40,040 --> 00:19:42,760 Speaker 1: its homeland from a distance via FaceTime call. I thought 349 00:19:42,760 --> 00:19:46,159 Speaker 1: the music video was tight, very stylish. I mean, you know, 350 00:19:46,359 --> 00:19:50,520 Speaker 1: I love lady with the big dancing around and this 351 00:19:50,720 --> 00:19:54,600 Speaker 1: like modernast lead home cooking up something I don't know, 352 00:19:54,800 --> 00:19:57,879 Speaker 1: chopping up garlic and ship like it was. Yeah, I mean, 353 00:19:57,960 --> 00:20:01,119 Speaker 1: the simplicity of it is what's out to me. And 354 00:20:02,200 --> 00:20:04,399 Speaker 1: I guess the thing about it that I like is like, Okay, 355 00:20:05,119 --> 00:20:09,040 Speaker 1: my mom watches a lot of Nigerian movies, right, Like 356 00:20:09,240 --> 00:20:12,240 Speaker 1: that's her that's like her ship, that's her hobbies. Like 357 00:20:12,320 --> 00:20:15,160 Speaker 1: she just has a whole fucking collection of like vhs 358 00:20:15,320 --> 00:20:16,840 Speaker 1: is at that too, you know what I mean, Like 359 00:20:17,359 --> 00:20:22,080 Speaker 1: Nigerian films, Nigerian sinema, and it's like watching it, I 360 00:20:22,240 --> 00:20:27,720 Speaker 1: just dig how it's like it doesn't matter what setting 361 00:20:28,440 --> 00:20:30,480 Speaker 1: it is. You can tell that it's a Nigeria, you 362 00:20:30,520 --> 00:20:32,040 Speaker 1: can tell it's African, you know what I mean. It 363 00:20:32,240 --> 00:20:34,560 Speaker 1: has like it just it can be like a completely 364 00:20:36,080 --> 00:20:42,720 Speaker 1: uh standard stereotypical like I mean, but just the people 365 00:20:42,880 --> 00:20:45,960 Speaker 1: interacting in the scene, it's like, oh yeah, this is African, 366 00:20:46,080 --> 00:20:49,280 Speaker 1: you know, Like specifically, I love that. I love that 367 00:20:49,400 --> 00:20:51,520 Speaker 1: vibe from the video, like from the minute it starts, 368 00:20:51,560 --> 00:20:54,240 Speaker 1: I could pick that up now. The outbreak of the 369 00:20:54,280 --> 00:20:58,800 Speaker 1: coronavirus has reached every nation in Africa, and Nigeria is 370 00:20:58,840 --> 00:21:01,240 Speaker 1: one of the worst effect to come trees on the continent, 371 00:21:01,359 --> 00:21:04,040 Speaker 1: with thousand cases and a little more than a thousand 372 00:21:04,119 --> 00:21:06,880 Speaker 1: deaths at the time of this recording. Nigeria in fact, 373 00:21:07,000 --> 00:21:09,920 Speaker 1: just ended its second lockdown for the coronavirus last week. 374 00:21:10,600 --> 00:21:13,840 Speaker 1: Nigeria had three hundred and fifty ventilators and three hundred 375 00:21:13,840 --> 00:21:17,520 Speaker 1: and fifty ICU beds for its entire population before the outbreak, 376 00:21:17,880 --> 00:21:23,439 Speaker 1: and many officials feared its healthcare capacity would quickly become overwhelmed. Surprisingly, however, 377 00:21:23,520 --> 00:21:26,000 Speaker 1: infection and death rates in many African countries have turned 378 00:21:26,000 --> 00:21:29,080 Speaker 1: out to be much lower than initially feared. It seems 379 00:21:29,119 --> 00:21:31,240 Speaker 1: that our struggles are pre conditions might be working in 380 00:21:31,359 --> 00:21:35,080 Speaker 1: favor of African countries in our population, said said Professor 381 00:21:35,119 --> 00:21:38,320 Speaker 1: shaub A Mahdi, South Africa's top virologists and an important 382 00:21:38,359 --> 00:21:41,400 Speaker 1: figure in the hunt for a vaccine for COVID nineteen. 383 00:21:41,880 --> 00:21:44,399 Speaker 1: This is what he told the PC For while now, 384 00:21:44,600 --> 00:21:47,840 Speaker 1: experts have cited a youthful population is the best explanation 385 00:21:47,920 --> 00:21:51,760 Speaker 1: for Africa's relatively low infection rates. After all, the average 386 00:21:51,800 --> 00:21:54,199 Speaker 1: age and the continent is roughly half that in Europe. 387 00:21:54,480 --> 00:21:56,680 Speaker 1: The scientists continue to look for a reason as to 388 00:21:56,760 --> 00:21:59,880 Speaker 1: why the cases and death counts have remained relatively low 389 00:22:00,040 --> 00:22:03,720 Speaker 1: to that of Europe and the America's. So the CNN 390 00:22:03,880 --> 00:22:07,720 Speaker 1: article about the scientists trying to figure out why African 391 00:22:07,840 --> 00:22:10,679 Speaker 1: nations haven't been as impacted by the coronavirus has initially 392 00:22:11,240 --> 00:22:16,560 Speaker 1: expected was harshly received by the Internet. A lot of 393 00:22:16,560 --> 00:22:19,680 Speaker 1: folks landbassing at first Team in that Africa Africans can't 394 00:22:19,680 --> 00:22:25,000 Speaker 1: handle their ship, which like I get, but it's not 395 00:22:25,200 --> 00:22:27,359 Speaker 1: like these are just random white people that are like 396 00:22:27,560 --> 00:22:31,679 Speaker 1: why is wired Africans dying? These a literal virologists who 397 00:22:31,880 --> 00:22:36,240 Speaker 1: understand the way virus is spread, the conditions that foster 398 00:22:36,400 --> 00:22:46,000 Speaker 1: their transmission, because like for real, like you you obviously know, 399 00:22:46,200 --> 00:22:49,560 Speaker 1: I hate saying ship like this, but as an African dude, 400 00:22:49,880 --> 00:22:52,000 Speaker 1: you know, like when when the ships was popping off 401 00:22:52,119 --> 00:22:54,639 Speaker 1: in March and I was talking to like family members 402 00:22:54,680 --> 00:22:57,520 Speaker 1: and people who were in Africa, it was like, yo, 403 00:22:57,960 --> 00:23:00,280 Speaker 1: if the ship is that bad over there like in 404 00:23:00,320 --> 00:23:02,960 Speaker 1: the US, Like funk, what's it gonna be like over here, 405 00:23:03,480 --> 00:23:05,720 Speaker 1: you know what I'm saying. After about a month it 406 00:23:05,880 --> 00:23:10,520 Speaker 1: was like yore, y'all, okay, do you need you need 407 00:23:10,640 --> 00:23:14,080 Speaker 1: me to send you something Naculi up? So it completely switched, 408 00:23:14,160 --> 00:23:17,440 Speaker 1: and I mean I still don't know why, but a 409 00:23:17,600 --> 00:23:20,920 Speaker 1: lot of people had that concern, you know what I'm saying, 410 00:23:20,960 --> 00:23:24,800 Speaker 1: that this was gonna hit Africa and particularly hard. I 411 00:23:24,840 --> 00:23:27,480 Speaker 1: mean especially considering that you could look over at Indians 412 00:23:27,560 --> 00:23:31,239 Speaker 1: he was going on in India. Some man, people need 413 00:23:31,320 --> 00:23:35,080 Speaker 1: to calm the funk down for real. It's unexplained. Top 414 00:23:35,160 --> 00:23:38,000 Speaker 1: scientists can't figure it out. Some fucking nimrods on Twitter 415 00:23:38,040 --> 00:23:40,440 Speaker 1: aren't gonna fucking figure it out. Like you know what 416 00:23:40,640 --> 00:23:42,840 Speaker 1: this made me think of when I saw that in 417 00:23:42,920 --> 00:23:45,159 Speaker 1: the nose because I I hadn't heard of that about 418 00:23:45,320 --> 00:23:48,200 Speaker 1: the whole like reaction to that, but um, you know 419 00:23:48,240 --> 00:23:52,119 Speaker 1: I watched basketball and ship this similar thing happened in basketball, 420 00:23:52,920 --> 00:23:57,560 Speaker 1: or just a similar reaction to something where a guy 421 00:23:57,800 --> 00:24:00,399 Speaker 1: just got a job to coach the Brooklyn Nets. His 422 00:24:00,520 --> 00:24:02,639 Speaker 1: name Steve Nash. He used to be really good for 423 00:24:02,800 --> 00:24:04,520 Speaker 1: There's some people who are listening to those who are like, 424 00:24:04,560 --> 00:24:07,520 Speaker 1: why are you explaining it? This way, it's because Mariah 425 00:24:07,600 --> 00:24:11,720 Speaker 1: doesn't watch basketball, doesn't know what. So Steve Nash is 426 00:24:11,760 --> 00:24:14,600 Speaker 1: a really good basketball player and he retired, and it's 427 00:24:14,640 --> 00:24:17,159 Speaker 1: like a common thing. It's not an unusual thing that 428 00:24:17,680 --> 00:24:22,040 Speaker 1: he's like super super good basketball players, point guards and 429 00:24:22,080 --> 00:24:25,720 Speaker 1: stuff like that, especially end up getting coaching positions after 430 00:24:25,760 --> 00:24:28,200 Speaker 1: they retire, right without any experience or anything like that. 431 00:24:29,080 --> 00:24:32,280 Speaker 1: So Steve Nash got the job, and there were takes 432 00:24:32,359 --> 00:24:35,440 Speaker 1: of it being white privilege and how did you guys 433 00:24:35,520 --> 00:24:37,760 Speaker 1: give him this job? And it should have been a 434 00:24:37,840 --> 00:24:42,119 Speaker 1: black guy. But in this particular case, it's like, Yo, 435 00:24:42,760 --> 00:24:46,200 Speaker 1: this ship happened for like five black coaches in a row, 436 00:24:46,880 --> 00:24:51,920 Speaker 1: like yesterday. Maybe not, maybe not, maybe not this time. 437 00:24:52,320 --> 00:24:55,800 Speaker 1: It's true, maybe not this time. I knew this week 438 00:24:55,880 --> 00:24:58,680 Speaker 1: as well as East Coast rapper Graphs new single Killing 439 00:24:58,760 --> 00:25:02,520 Speaker 1: Kings featuring my son ray Manuel and Sly Piper, dropped 440 00:25:02,520 --> 00:25:05,359 Speaker 1: on September three. It calls out inter racial and police 441 00:25:05,440 --> 00:25:07,800 Speaker 1: violence equally, as well as the stress of this trying 442 00:25:07,840 --> 00:25:12,040 Speaker 1: to stay alive under the inter twinding pandemics of the coronavirus, 443 00:25:12,520 --> 00:25:17,240 Speaker 1: and systemic racism over a twining guitar, simple reminiscence of 444 00:25:17,320 --> 00:25:19,840 Speaker 1: me of the fujis. Let's take a listen at the 445 00:25:19,960 --> 00:25:22,520 Speaker 1: Homma Nica last week. I'll be back in the street, 446 00:25:22,600 --> 00:25:25,440 Speaker 1: active and rather believe we could have peace of everyan 447 00:25:25,480 --> 00:25:28,840 Speaker 1: poe you'd rather believe. Now, I've said before the iced 448 00:25:28,880 --> 00:25:31,160 Speaker 1: Tea is my goat and my favorite hip hop artist. 449 00:25:31,320 --> 00:25:34,520 Speaker 1: But you know, Graph is probably my favorite rapper. He 450 00:25:34,640 --> 00:25:37,439 Speaker 1: definitely was my favorite rapper when I was first starting 451 00:25:37,480 --> 00:25:41,399 Speaker 1: out back in the day. This is like, this type 452 00:25:41,440 --> 00:25:45,240 Speaker 1: of song is more indicative of my son's catalog, Like 453 00:25:45,400 --> 00:25:48,639 Speaker 1: he usually raps about ship like this, so so for Graph, 454 00:25:48,760 --> 00:25:52,359 Speaker 1: this is kind of not his usual ship. So he 455 00:25:52,480 --> 00:25:55,520 Speaker 1: calls out those who criticize. On the first verse, uh, 456 00:25:55,840 --> 00:25:58,879 Speaker 1: Graph calls out those who criticized Kaepernick for kneeling, and 457 00:25:59,000 --> 00:26:01,800 Speaker 1: later way a manual times in the line, I've got 458 00:26:01,880 --> 00:26:03,760 Speaker 1: a target on evact, I don't care if they put 459 00:26:03,800 --> 00:26:05,359 Speaker 1: it on the target where you at. And then on 460 00:26:05,440 --> 00:26:08,920 Speaker 1: the third verse, my zone name drops Brianna Taylor and 461 00:26:08,920 --> 00:26:11,960 Speaker 1: Elijah McClain saying they did little Elijah, I don't care 462 00:26:12,000 --> 00:26:15,399 Speaker 1: if your precincts on fire. Nika's getting tired of marching, 463 00:26:16,359 --> 00:26:19,040 Speaker 1: you know, kind of like talking about the different forms 464 00:26:19,080 --> 00:26:23,359 Speaker 1: of protests how the former peaceful ones often get overlooked, 465 00:26:24,200 --> 00:26:28,959 Speaker 1: they get criticized as much as the not so peaceful versions. 466 00:26:29,680 --> 00:26:32,080 Speaker 1: So I mean, it's it's it's I think it's touching 467 00:26:32,200 --> 00:26:35,560 Speaker 1: upon this national conversation right now about like what is 468 00:26:35,600 --> 00:26:38,240 Speaker 1: the proper way to express our grief and the aftermath 469 00:26:38,280 --> 00:26:41,359 Speaker 1: of tragedies like these. In my personal favorite part that 470 00:26:41,480 --> 00:26:44,800 Speaker 1: I uh duh, it's a part where Graff says how 471 00:26:44,800 --> 00:26:48,680 Speaker 1: I'm fighting police when I'm busy fighting depression. That ship 472 00:26:49,040 --> 00:26:52,560 Speaker 1: that captures this whole last fucking three months for real, 473 00:26:52,800 --> 00:26:55,520 Speaker 1: Like I mean, but I mean, you've been dealing with 474 00:26:55,680 --> 00:26:59,200 Speaker 1: it better than most motherfucker's because you've actually still been 475 00:27:00,119 --> 00:27:05,920 Speaker 1: You've actually been getting up and doing it. But I mean, god, damn, 476 00:27:06,200 --> 00:27:10,040 Speaker 1: when I heard that line, I felt that ship, because 477 00:27:10,160 --> 00:27:14,920 Speaker 1: it's like a lot of the last six seven months 478 00:27:14,960 --> 00:27:17,119 Speaker 1: has felt like a punch in the gut a lot 479 00:27:17,160 --> 00:27:20,800 Speaker 1: of stuff, you know, and and it's sometimes it gets 480 00:27:20,840 --> 00:27:23,879 Speaker 1: hard to kind of look at you know, the world 481 00:27:24,040 --> 00:27:26,440 Speaker 1: is like a whole picture and not like just be 482 00:27:26,560 --> 00:27:29,680 Speaker 1: concerned with what's going on internally. So I feel that 483 00:27:29,800 --> 00:27:33,159 Speaker 1: I feel that, oh, yeah, you know, you you especially 484 00:27:33,200 --> 00:27:35,200 Speaker 1: for someone like me who like I mean, I watched 485 00:27:35,240 --> 00:27:37,480 Speaker 1: the news all the time for this podcast, so it's like, 486 00:27:38,440 --> 00:27:40,680 Speaker 1: you know, I see I see the protest, my roommates 487 00:27:40,720 --> 00:27:43,960 Speaker 1: going to protests and ship and I'm like, I'm sad. 488 00:27:44,680 --> 00:27:46,800 Speaker 1: I don't want to do anything, you know what I mean, 489 00:27:47,119 --> 00:27:49,240 Speaker 1: It's it makes you feel guilty in a way. No, 490 00:27:49,400 --> 00:27:51,280 Speaker 1: I feel that. I mean, in the aftermath of the 491 00:27:51,359 --> 00:27:54,800 Speaker 1: budget vote back in June and our failure to defund 492 00:27:54,840 --> 00:27:56,919 Speaker 1: the police here in Athens, I spent like a solid 493 00:27:57,000 --> 00:28:00,760 Speaker 1: month just in bed. In bed, I like fled. I 494 00:28:00,840 --> 00:28:04,679 Speaker 1: went to California. I fucking back from California and fucking 495 00:28:06,280 --> 00:28:07,879 Speaker 1: just fled to my mom's house. I was just in 496 00:28:07,960 --> 00:28:11,240 Speaker 1: a feuge state. I was in a FuG state because 497 00:28:11,240 --> 00:28:14,000 Speaker 1: it's too much to handle. It's a lot. I mean, 498 00:28:14,080 --> 00:28:16,080 Speaker 1: no one should, no one out there should feel like 499 00:28:17,359 --> 00:28:20,040 Speaker 1: like it's not a lot, Like this is fucked up. 500 00:28:21,480 --> 00:28:24,120 Speaker 1: If if you, if you, if you're wondering, you're not alone, 501 00:28:24,280 --> 00:28:27,280 Speaker 1: like this whole entire situation. And I'm talking I'm not 502 00:28:27,440 --> 00:28:33,280 Speaker 1: just talking about the George Floyd stuff. I'm talking onto now, 503 00:28:33,520 --> 00:28:38,240 Speaker 1: Like there's nobody who's alive who's experienced anything like this, 504 00:28:38,440 --> 00:28:40,760 Speaker 1: and it's relentless you know, and they call it out 505 00:28:40,800 --> 00:28:42,440 Speaker 1: here in the hook when they sing, they say they 506 00:28:42,440 --> 00:28:46,000 Speaker 1: shot him because they fled. And it's unfortunately a timely 507 00:28:46,040 --> 00:28:48,480 Speaker 1: refrain given the killing of eighteen year old Dean k 508 00:28:48,680 --> 00:28:51,520 Speaker 1: by DC police the day before. The single dropped so 509 00:28:51,680 --> 00:28:54,520 Speaker 1: body Warren camera released in the aftermath of the shooting 510 00:28:54,640 --> 00:28:56,880 Speaker 1: shows the officer running out of his car and in 511 00:28:56,880 --> 00:28:59,360 Speaker 1: a matter of seconds, firing his gun at a teenager 512 00:28:59,400 --> 00:29:02,160 Speaker 1: as he was running away from police. The officer made 513 00:29:02,200 --> 00:29:05,040 Speaker 1: no attempt to de escalate. There was no warning or 514 00:29:05,120 --> 00:29:08,400 Speaker 1: directive given to Kay to drop the weapon, a weapon 515 00:29:08,560 --> 00:29:10,960 Speaker 1: that K appears to have thrown in the air, in 516 00:29:11,080 --> 00:29:15,000 Speaker 1: which was recovered almost a hundred feet from his body. Now, 517 00:29:15,120 --> 00:29:17,840 Speaker 1: DC Mayor Muriel Bowser, I stood firm against call, said 518 00:29:17,840 --> 00:29:20,240 Speaker 1: a fund to the police from the get go. Has 519 00:29:20,280 --> 00:29:23,080 Speaker 1: been lambastad by Black Lives Matter DC for painting the 520 00:29:23,120 --> 00:29:25,120 Speaker 1: words on the streets she were named for the rallying 521 00:29:25,200 --> 00:29:28,240 Speaker 1: cry BLMDC is now calling from Mayor Bowser to fire 522 00:29:28,320 --> 00:29:31,440 Speaker 1: the officer that killed Dion. I think you know the 523 00:29:31,560 --> 00:29:35,160 Speaker 1: fact of the facts that are revealed by this body 524 00:29:35,240 --> 00:29:39,360 Speaker 1: camp footage, and you know, calls from reformers to oh well, 525 00:29:39,400 --> 00:29:43,000 Speaker 1: we need to increase body cameras and mandate body cameras 526 00:29:43,080 --> 00:29:47,880 Speaker 1: and increase police budgets for body camera usage. Um, I 527 00:29:47,960 --> 00:29:50,320 Speaker 1: think still fall short of what a lot of the 528 00:29:50,640 --> 00:29:53,640 Speaker 1: activists in the streets, the you know, the revolutionaries out 529 00:29:53,680 --> 00:29:55,640 Speaker 1: here putting their lives on the line for this movement 530 00:29:56,000 --> 00:29:58,880 Speaker 1: I want to see. Because in the case of Daniel 531 00:29:58,960 --> 00:30:02,680 Speaker 1: Prude in Rochester, who you know, a black man that 532 00:30:03,120 --> 00:30:07,080 Speaker 1: was experienced a mental health crisis. His family member called 533 00:30:07,120 --> 00:30:10,640 Speaker 1: the police, who you know, put a spithood on him 534 00:30:10,760 --> 00:30:13,160 Speaker 1: and pressed him face down on the freezing cold street 535 00:30:13,600 --> 00:30:16,360 Speaker 1: until he had, you know, problems breathing. He ended up 536 00:30:16,440 --> 00:30:19,200 Speaker 1: going to the hospital and dying seven days later. Um, 537 00:30:19,400 --> 00:30:22,360 Speaker 1: that body camp footage didn't come out. He died in March, 538 00:30:23,120 --> 00:30:24,960 Speaker 1: and that body camp footage came out last week. And 539 00:30:25,040 --> 00:30:28,720 Speaker 1: so the transparency and the ease of access to this 540 00:30:28,840 --> 00:30:33,960 Speaker 1: footage is unequal. Sometimes it stays locked up for months, 541 00:30:34,040 --> 00:30:37,719 Speaker 1: sometimes it never gets released. And so sure, you can 542 00:30:37,840 --> 00:30:41,200 Speaker 1: say it gives us greater accountability with the police, but 543 00:30:42,080 --> 00:30:45,680 Speaker 1: we got but it's not. But there we run into 544 00:30:45,800 --> 00:30:50,320 Speaker 1: issues with how the police misused this footage sometimes for 545 00:30:50,480 --> 00:30:53,040 Speaker 1: their own game and to protect those that make up 546 00:30:53,080 --> 00:30:56,480 Speaker 1: their force. Well, I mean, I mean, especially if we 547 00:30:56,520 --> 00:30:59,240 Speaker 1: don't have any control as to when the body cam 548 00:30:59,320 --> 00:31:01,840 Speaker 1: footage get out and when it doesn't. Because I mean, 549 00:31:03,080 --> 00:31:07,400 Speaker 1: right now, what when when did uh proud happen? March? 550 00:31:07,480 --> 00:31:09,320 Speaker 1: She died in March. That happened in March. So that 551 00:31:09,480 --> 00:31:13,440 Speaker 1: happened around the time of a mat Abrey, right or 552 00:31:13,440 --> 00:31:16,360 Speaker 1: a little bit after, Yeah, right around right after Brown 553 00:31:16,440 --> 00:31:20,360 Speaker 1: Taylor's killing, right after a mod Arebrey. The public being 554 00:31:20,440 --> 00:31:25,600 Speaker 1: aware of the situation, and possibly the protests lasted a 555 00:31:25,640 --> 00:31:28,200 Speaker 1: little bit longer with I mean more like as intensely 556 00:31:28,240 --> 00:31:30,400 Speaker 1: as they were in like July and June, they last 557 00:31:30,440 --> 00:31:34,000 Speaker 1: a bit longer than that. Maybe something extra gets done, 558 00:31:34,040 --> 00:31:38,360 Speaker 1: like this is important in the entire the um chief 559 00:31:38,440 --> 00:31:43,080 Speaker 1: of Police, entire command staff of the Rochester Police Department resigned. Yeah, 560 00:31:43,240 --> 00:31:45,600 Speaker 1: I heard about that, you like, and they've been they've 561 00:31:45,640 --> 00:31:54,480 Speaker 1: been in the streets for like what five days, because 562 00:31:54,520 --> 00:31:58,360 Speaker 1: I've noticed that the k case hasn't gotten as much 563 00:31:59,360 --> 00:32:03,840 Speaker 1: because you don't. Yeah, I was gonna if that's what 564 00:32:03,920 --> 00:32:06,880 Speaker 1: you thought it was. It sucks that a gun being 565 00:32:07,000 --> 00:32:11,120 Speaker 1: involved makes people be dismissive of it. But yeah, because 566 00:32:11,160 --> 00:32:14,800 Speaker 1: this is double edged sort of also expanding the surveillance 567 00:32:14,800 --> 00:32:16,760 Speaker 1: state so that every interaction that you have with the 568 00:32:16,760 --> 00:32:19,800 Speaker 1: police officer is filmed and they can do what they 569 00:32:20,000 --> 00:32:23,400 Speaker 1: want and what they will with that footage. Whereas, on 570 00:32:23,480 --> 00:32:28,320 Speaker 1: the other hand, UH footage of these police killings has 571 00:32:28,440 --> 00:32:33,040 Speaker 1: helped draw public awareness to the issue of police brutality 572 00:32:33,280 --> 00:32:38,280 Speaker 1: and of UH police impunity. So it's like, what, I 573 00:32:38,440 --> 00:32:39,840 Speaker 1: just don't know how to feel. I mean, I'm not 574 00:32:39,920 --> 00:32:42,480 Speaker 1: really in favor of giving any more funds to the 575 00:32:42,520 --> 00:32:46,080 Speaker 1: police for anything, to expand their budgets in any way. UM, 576 00:32:46,680 --> 00:32:52,440 Speaker 1: And yet documentation of this you know, systemic issue is 577 00:32:52,520 --> 00:32:57,400 Speaker 1: the only way that we have been able to cultivating 578 00:32:57,880 --> 00:33:02,000 Speaker 1: national conversation about how to fix it. So lastly, let's 579 00:33:02,080 --> 00:33:05,760 Speaker 1: turn to the controversy swirling Tianna Taylor's new video or 580 00:33:05,920 --> 00:33:08,960 Speaker 1: self directed video for her song Still. Let's check it 581 00:33:09,000 --> 00:33:17,640 Speaker 1: out a little bit of that makes movie. It opens 582 00:33:17,680 --> 00:33:19,480 Speaker 1: with her parent out the window with a gun like 583 00:33:19,640 --> 00:33:24,040 Speaker 1: Malcolm x Um and smattered with historical footage from black 584 00:33:24,120 --> 00:33:29,160 Speaker 1: liberation movements and police impunity throughout the decades. Later, Taylor 585 00:33:29,280 --> 00:33:31,440 Speaker 1: is dressed up like Brianna Taylor and her E M 586 00:33:31,520 --> 00:33:35,120 Speaker 1: T uniform and later Still as Emmett Till's mother grieving 587 00:33:35,200 --> 00:33:37,680 Speaker 1: at this casket side and then he took to Twitter 588 00:33:37,800 --> 00:33:43,040 Speaker 1: to cry the videos profiting off of black death. I 589 00:33:43,680 --> 00:33:45,880 Speaker 1: actually thought the video was kind of if you just 590 00:33:46,000 --> 00:33:48,560 Speaker 1: played that song for somebody, they wouldn't think that song 591 00:33:48,760 --> 00:33:50,680 Speaker 1: is about what's going on right now with the And 592 00:33:50,800 --> 00:33:53,480 Speaker 1: that's why the video is powerful because it recontextualizes the 593 00:33:53,600 --> 00:33:56,640 Speaker 1: lyrics in the on a way that makes the lyrics 594 00:33:56,720 --> 00:33:59,640 Speaker 1: even more profound. If you read them as like a 595 00:33:59,720 --> 00:34:02,440 Speaker 1: simp will love song and she's crying out for this 596 00:34:02,560 --> 00:34:05,600 Speaker 1: guy she thinks about still, like I would probably hear 597 00:34:05,640 --> 00:34:07,960 Speaker 1: that on the radio and then like switch stations because 598 00:34:08,200 --> 00:34:10,440 Speaker 1: who then cares We heard that song up any of times, 599 00:34:10,840 --> 00:34:14,240 Speaker 1: but re contextualized as as a statement of the grieving 600 00:34:14,360 --> 00:34:16,719 Speaker 1: that we're dealing with this still, that we're thinking of 601 00:34:16,800 --> 00:34:20,920 Speaker 1: these people who were slain. Still. By adding the visual 602 00:34:21,000 --> 00:34:23,840 Speaker 1: element to it, it really like change. It really changes 603 00:34:23,920 --> 00:34:26,840 Speaker 1: what the song means and kind of like again, I 604 00:34:26,880 --> 00:34:31,520 Speaker 1: got goose bumps, like people's issue exactly with the The 605 00:34:31,600 --> 00:34:34,879 Speaker 1: issue is that the lyrics have nothing to do. There's 606 00:34:34,920 --> 00:34:37,480 Speaker 1: no call to action, there's no direct people to resources 607 00:34:37,520 --> 00:34:40,839 Speaker 1: to get involved in the movement. It's not activism. It's 608 00:34:40,880 --> 00:34:45,600 Speaker 1: not activism. That's bullshit. I think that's bullshit, that criticism 609 00:34:45,680 --> 00:34:49,880 Speaker 1: of it. I don't know why this doesn't make me 610 00:34:50,360 --> 00:34:52,680 Speaker 1: not like it because, like I feel how you feel. 611 00:34:52,680 --> 00:34:56,440 Speaker 1: I thought it was dope personally, but I feel that, Um, 612 00:34:57,480 --> 00:34:59,759 Speaker 1: I gott admit the part where she was singing and 613 00:35:00,040 --> 00:35:04,160 Speaker 1: she was dressed as Brianna Taylor. I don't know why 614 00:35:04,440 --> 00:35:07,480 Speaker 1: I couldn't articulate to you. I've been smoking, but it 615 00:35:07,640 --> 00:35:09,840 Speaker 1: kind of made me cringe. I don't know, maybe if 616 00:35:09,880 --> 00:35:12,280 Speaker 1: it was an actress or there was like an actress 617 00:35:12,360 --> 00:35:14,520 Speaker 1: that was like you know, or you know, one of 618 00:35:14,560 --> 00:35:16,920 Speaker 1: those camera tracks we don't really see the person's face, 619 00:35:17,040 --> 00:35:19,239 Speaker 1: but it's like eluding that it's Brianna Taylor. I don't 620 00:35:19,280 --> 00:35:22,040 Speaker 1: know why. This is just a complete personal thing, but 621 00:35:22,200 --> 00:35:24,840 Speaker 1: something about it. When I saw that part, I was 622 00:35:24,920 --> 00:35:27,840 Speaker 1: kind of like, you know, kind of actually had a 623 00:35:27,880 --> 00:35:31,719 Speaker 1: more vistle reaction to the footage of the actual like 624 00:35:31,840 --> 00:35:35,759 Speaker 1: the audio of like Eric Garner, the audio of like 625 00:35:35,960 --> 00:35:38,920 Speaker 1: George Floyd. That stuff bothered me more because it's so 626 00:35:39,640 --> 00:35:43,680 Speaker 1: retraumatizing to experience that again. Is that I wonder if 627 00:35:43,760 --> 00:35:47,080 Speaker 1: that's in the audio version. I wonder it's just in 628 00:35:47,120 --> 00:35:51,960 Speaker 1: the video. I'm well, I mean, it definitely feels like 629 00:35:52,080 --> 00:35:55,480 Speaker 1: it has more thought behind it than a lot of 630 00:35:56,239 --> 00:36:01,280 Speaker 1: statements that have been made musically recently. We're allowed to grieve, 631 00:36:01,320 --> 00:36:03,560 Speaker 1: We're allowed to make art that grieves. Yeah, it's like 632 00:36:04,040 --> 00:36:06,279 Speaker 1: I guess, yeah, she's making money off of it, but 633 00:36:06,360 --> 00:36:08,960 Speaker 1: it's also her authentic expression of how she's feeling about 634 00:36:08,960 --> 00:36:12,000 Speaker 1: what's going on, or is it capitalization on what's going on? 635 00:36:12,280 --> 00:36:16,600 Speaker 1: Or is it both? How much the artist's intentions, you know, 636 00:36:17,200 --> 00:36:21,279 Speaker 1: feed into our interpretation of it. Realistically, there's no way 637 00:36:21,440 --> 00:36:27,120 Speaker 1: that anyone can know how authentic it is, but it 638 00:36:27,239 --> 00:36:30,120 Speaker 1: feels authentic to me personally. It made me feel something, 639 00:36:30,200 --> 00:36:32,000 Speaker 1: and I was supposed to do that. Like for me, 640 00:36:32,200 --> 00:36:34,920 Speaker 1: knowing that you know, it's her song and knowing that 641 00:36:35,040 --> 00:36:39,000 Speaker 1: she directed the video to me made it feel personal. 642 00:36:40,320 --> 00:36:43,000 Speaker 1: Watching it and listening to it, the whole experience was like, 643 00:36:43,080 --> 00:36:45,360 Speaker 1: oh this is It wasn't like a director came to 644 00:36:45,440 --> 00:36:48,799 Speaker 1: her like, hey, I gotta you know, groundbreaking idea that's 645 00:36:48,800 --> 00:36:50,160 Speaker 1: going to make us lots of money. It was like 646 00:36:50,600 --> 00:36:53,279 Speaker 1: she wrote the song, she made this music video to 647 00:36:53,440 --> 00:36:56,040 Speaker 1: capture what her words really meant. And yeah, I think 648 00:36:56,040 --> 00:36:59,799 Speaker 1: it adds a layer of like of of of sensitivity 649 00:37:00,040 --> 00:37:04,480 Speaker 1: and like authenticity to it. For me. Yeah, I I've 650 00:37:04,760 --> 00:37:07,920 Speaker 1: I'm not really that big on R and B. So 651 00:37:08,080 --> 00:37:09,960 Speaker 1: it's hard for me to hear one R and B 652 00:37:10,080 --> 00:37:13,239 Speaker 1: singer from the next and be like, Oh, this is 653 00:37:13,280 --> 00:37:15,160 Speaker 1: why this person is better than this person, you know 654 00:37:15,160 --> 00:37:19,040 Speaker 1: what I'm saying. But I know that projects like this 655 00:37:19,280 --> 00:37:22,000 Speaker 1: are things that make me become fans of people. You know, 656 00:37:22,200 --> 00:37:25,440 Speaker 1: It's like, oh, man, this is like a whole multimedia 657 00:37:25,600 --> 00:37:30,880 Speaker 1: thing that is primarily one person's idea. Like funk with that, 658 00:37:31,520 --> 00:37:33,360 Speaker 1: you know, like I really do. I really do. So 659 00:37:33,640 --> 00:37:36,880 Speaker 1: I'll probably be listening some more Tiana Taylor after this 660 00:37:37,880 --> 00:37:41,560 Speaker 1: a good ship. Well we're gonna end this by me 661 00:37:41,760 --> 00:37:47,960 Speaker 1: taking my index finger pressing that space bar DJ space 662 00:37:48,040 --> 00:37:51,760 Speaker 1: bar in the house. Let's get one of those beats 663 00:37:51,800 --> 00:38:04,640 Speaker 1: to wrap overation Wait, no reparations. Happy birthday to my 664 00:38:04,760 --> 00:38:07,520 Speaker 1: nigga easy. If he was allowed today, he probably put 665 00:38:07,560 --> 00:38:10,520 Speaker 1: out three CDs, but he died like back before. I 666 00:38:10,680 --> 00:38:13,160 Speaker 1: wasn't high school. Only when we got left is my 667 00:38:13,280 --> 00:38:16,560 Speaker 1: nigga cu I'm like, oh we there yet, let me 668 00:38:16,719 --> 00:38:19,440 Speaker 1: play need a vaccine? Get her from the f d A. 669 00:38:19,840 --> 00:38:22,640 Speaker 1: But it's almost too much histeria. I need to leave 670 00:38:22,680 --> 00:38:26,160 Speaker 1: this country and go to Nigeria. To Nigeria, because they 671 00:38:26,200 --> 00:38:29,080 Speaker 1: are nothing like us. You're very much unlikely to catch 672 00:38:29,160 --> 00:38:31,279 Speaker 1: the VIP risk if you go over there, because they 673 00:38:31,320 --> 00:38:34,920 Speaker 1: ain't shouting louder trying to get some power from Burial Bowser, 674 00:38:35,360 --> 00:38:38,400 Speaker 1: Mario Bowser. She take it in the streets, the hometown 675 00:38:38,480 --> 00:38:41,160 Speaker 1: mayor saying black lives matter to police, and you know 676 00:38:41,400 --> 00:38:43,320 Speaker 1: that's why we call it the mayor. And then I 677 00:38:43,440 --> 00:38:46,680 Speaker 1: go and sing sweeter than Tianna Taylor. Tianna Taylor with 678 00:38:46,800 --> 00:38:50,600 Speaker 1: that video for still depicting a deceased Emmett Till with 679 00:38:50,719 --> 00:38:53,600 Speaker 1: his mama's crying and the tears so they fill all 680 00:38:53,680 --> 00:38:57,000 Speaker 1: over her face, all over her grill, all over her grill. 681 00:38:57,239 --> 00:38:59,840 Speaker 1: I keep them fresh. I'm sitting at the window like 682 00:39:00,120 --> 00:39:03,000 Speaker 1: Malcolm X and just looking at these cops like Coopy 683 00:39:03,200 --> 00:39:05,759 Speaker 1: next every time I'm on the ship. Yeah, I'll beat 684 00:39:05,840 --> 00:39:11,040 Speaker 1: That's what it's. My name is, Dope, KNIGHTE. We are 685 00:39:11,120 --> 00:39:15,920 Speaker 1: waiting on reparations. Hurry up, see you next week. You 686 00:39:15,960 --> 00:39:19,960 Speaker 1: don't want to miss it. We're talking about reparations. We're 687 00:39:20,000 --> 00:39:26,560 Speaker 1: talking about reparations, not the game for reparations. Waiting on 688 00:39:26,680 --> 00:39:29,920 Speaker 1: Reparations as a production of i Heeart Radio. Listen to 689 00:39:30,000 --> 00:39:33,719 Speaker 1: Waiting on Reparations on the i Heart Radio app, Apple podcasts, 690 00:39:33,840 --> 00:39:35,239 Speaker 1: or wherever you get your podcasts.