1 00:00:00,480 --> 00:00:03,440 Speaker 1: Hello the Internet, and welcome to Season to fifty nine, 2 00:00:03,440 --> 00:00:06,640 Speaker 1: Episode two of Dirt Dailies Like Guys Day production of 3 00:00:06,720 --> 00:00:08,959 Speaker 1: My Heart Radio. This is a podcast where we take 4 00:00:09,000 --> 00:00:15,240 Speaker 1: a deep dive into America's shared consciousness. It's Tuesday, October eighteen, 5 00:00:18,239 --> 00:00:21,480 Speaker 1: National International Legging Day. So it's not just for the 6 00:00:21,480 --> 00:00:23,880 Speaker 1: people in this could you rock with leggings, it's your day. 7 00:00:23,880 --> 00:00:28,920 Speaker 1: It's National Chocolate Cupcake Day, National No Beard Day, and 8 00:00:29,120 --> 00:00:32,080 Speaker 1: National Pharmacy Technician Day. Shout out to the people working 9 00:00:32,080 --> 00:00:34,360 Speaker 1: in the bad out to the pharmacy text. Was that 10 00:00:34,440 --> 00:00:37,400 Speaker 1: a no beard Day? Yeah? I don't know if that 11 00:00:37,440 --> 00:00:40,040 Speaker 1: means just shaving it off. It just says, yeah, just 12 00:00:40,159 --> 00:00:43,600 Speaker 1: being clean shaven. You know, it's probably again it's about 13 00:00:43,600 --> 00:00:46,120 Speaker 1: way to razors, you know, about time we got some 14 00:00:46,200 --> 00:00:50,920 Speaker 1: recognition out here or with or like me who cannot 15 00:00:50,920 --> 00:00:53,000 Speaker 1: grow a beer. So I'm like, yeah, every day is 16 00:00:53,000 --> 00:00:56,800 Speaker 1: no beard Day. Uh well, anyways, my name's Jack O'Brien. 17 00:00:56,840 --> 00:01:02,320 Speaker 1: A K. Guess who's back back again? Stalin's ghost Tell 18 00:01:02,400 --> 00:01:06,080 Speaker 1: a friend this curtsy at Christian Gucci Man talking about 19 00:01:06,480 --> 00:01:11,839 Speaker 1: who was that? Who said Stalin truly? Mike Cernovich weird, 20 00:01:11,920 --> 00:01:15,880 Speaker 1: Mike Sernovitch coming back, coming with a strange attempt at 21 00:01:15,920 --> 00:01:19,160 Speaker 1: poetic license. I am thrilled to be joined as always 22 00:01:19,160 --> 00:01:22,839 Speaker 1: by my co host, Mr Miles Yes, it's Miles Gray, 23 00:01:22,959 --> 00:01:26,040 Speaker 1: straight from the Mile High City, but keeping his title 24 00:01:26,120 --> 00:01:29,160 Speaker 1: of the Lord of Lancashim Hideo NoHo, North Hollywood was 25 00:01:29,240 --> 00:01:32,039 Speaker 1: very own. Thank you so much. In the building, in 26 00:01:32,080 --> 00:01:34,520 Speaker 1: the building, well, we are thrilled to be joined in 27 00:01:34,640 --> 00:01:39,080 Speaker 1: the building, ish virtually in the virtual building of the 28 00:01:39,160 --> 00:01:44,639 Speaker 1: internet zoom protocol by an urban planner, former executive director 29 00:01:44,680 --> 00:01:47,919 Speaker 1: of Time's Up Entertainment and currently the city council member 30 00:01:47,920 --> 00:01:50,760 Speaker 1: for l A's fourth District. Welcome back to the show, 31 00:01:50,880 --> 00:01:56,240 Speaker 1: Nittia Roma, Welcome, Welcome, Thank you. That was such a 32 00:01:56,280 --> 00:02:00,240 Speaker 1: great That's probably the most enthusiastic perception I've ever gotten. Hey, 33 00:02:00,360 --> 00:02:04,840 Speaker 1: we go off here, very happy to be here than 34 00:02:05,160 --> 00:02:08,840 Speaker 1: the last time you were here. You were running and 35 00:02:08,880 --> 00:02:11,959 Speaker 1: in what the l A Times calls a political earthquake, 36 00:02:12,040 --> 00:02:14,440 Speaker 1: you won. I'm sure you've probably heard that by now, 37 00:02:14,760 --> 00:02:18,640 Speaker 1: but yeah, you won. Congratulations, Thank you. It's a big deal. 38 00:02:18,960 --> 00:02:22,720 Speaker 1: It's a big deal. Yeah. So now you're just wielding 39 00:02:22,840 --> 00:02:26,080 Speaker 1: power for the past couple of years. How's that going? 40 00:02:26,400 --> 00:02:33,640 Speaker 1: Anything new going? On the city Council. I haven't had 41 00:02:33,960 --> 00:02:37,240 Speaker 1: I haven't had the most stressful week of my entire 42 00:02:37,560 --> 00:02:42,320 Speaker 1: tenure here so far. Yeah, just getting stayed and you 43 00:02:42,480 --> 00:02:47,639 Speaker 1: kept your appointment to appear on our second rate podcast. 44 00:02:47,720 --> 00:02:51,359 Speaker 1: We're truly grateful. Well, I disagree with you that it's 45 00:02:51,360 --> 00:02:53,920 Speaker 1: a second rate podcast, and I'm very delighted to be 46 00:02:54,000 --> 00:03:00,200 Speaker 1: here because it's third rate. Thank you. All right, We're 47 00:03:00,200 --> 00:03:01,600 Speaker 1: gonna get to know you a little bit better in 48 00:03:01,600 --> 00:03:03,840 Speaker 1: a moment. We had to go on by the way 49 00:03:04,000 --> 00:03:07,880 Speaker 1: recently and when his underrated was Little Nikki. So just 50 00:03:07,960 --> 00:03:10,680 Speaker 1: so you know what the bar of the Sandler movie, 51 00:03:11,080 --> 00:03:14,639 Speaker 1: The Sandler Movie at Little Nikki was like, I don't know, man, 52 00:03:14,680 --> 00:03:17,000 Speaker 1: it's just like my favorite movie. I can I can 53 00:03:17,040 --> 00:03:20,519 Speaker 1: watch it repeatedly. He said it was his favorite movie. 54 00:03:20,720 --> 00:03:22,320 Speaker 1: I think he said it was his favorite or like 55 00:03:22,360 --> 00:03:24,880 Speaker 1: one of his favorite movies of all time, and like 56 00:03:25,000 --> 00:03:28,040 Speaker 1: didn't really he wasn't like, you know, because of this 57 00:03:28,160 --> 00:03:30,280 Speaker 1: or because of that. He was just like, I just 58 00:03:30,360 --> 00:03:33,799 Speaker 1: really love that movie. It was it was kind of awesome. Um. 59 00:03:33,840 --> 00:03:37,120 Speaker 1: I did endorse him, and now I'm thinking end Yeah, 60 00:03:37,160 --> 00:03:42,119 Speaker 1: you gotta you gotta favorite the latter day. Yeah, yeah, 61 00:03:42,720 --> 00:03:44,680 Speaker 1: it was interesting because of that. I was like, looking 62 00:03:44,720 --> 00:03:47,200 Speaker 1: at where it falls. It was like right before Punch 63 00:03:47,280 --> 00:03:51,320 Speaker 1: Drunk Love, very interesting and after water Boy and he 64 00:03:51,440 --> 00:03:54,120 Speaker 1: was like, you know what, I'm gonna go full funny 65 00:03:54,160 --> 00:03:58,280 Speaker 1: Boys for all two hours of this movie. Anyways, that's 66 00:03:58,320 --> 00:04:00,400 Speaker 1: not what we're talking to you about. We are gonna 67 00:04:00,880 --> 00:04:04,040 Speaker 1: ask the question of just like how to be a 68 00:04:04,240 --> 00:04:09,640 Speaker 1: progressive in modern America, like the just generally you know, 69 00:04:09,840 --> 00:04:13,200 Speaker 1: we struggle as a podcast, we talked about how American 70 00:04:13,840 --> 00:04:17,640 Speaker 1: society seems to have an immune system that is allergic 71 00:04:18,200 --> 00:04:22,120 Speaker 1: to anything having to do with socialism or progressive social policies, 72 00:04:22,360 --> 00:04:26,760 Speaker 1: and that is addicted to profit. And so just as 73 00:04:26,839 --> 00:04:29,840 Speaker 1: someone who's been in there for a couple of years 74 00:04:29,880 --> 00:04:33,040 Speaker 1: now and like almost a couple of years, almost yea, 75 00:04:33,120 --> 00:04:34,960 Speaker 1: almost a couple of years coming up on a couple 76 00:04:35,000 --> 00:04:38,880 Speaker 1: of years, like just kind of getting your stories from 77 00:04:38,920 --> 00:04:41,440 Speaker 1: from from what it looks like from the inside. We're 78 00:04:41,680 --> 00:04:44,919 Speaker 1: gonna specifically talk about, you know, the un housed crisis 79 00:04:44,920 --> 00:04:48,920 Speaker 1: in l A, white supremacy, which has been a subject 80 00:04:49,160 --> 00:04:52,480 Speaker 1: that has come up a lot with regards to l 81 00:04:52,520 --> 00:04:56,720 Speaker 1: A City Council recently. Crime all of that. We might 82 00:04:56,760 --> 00:05:01,120 Speaker 1: even get into rainbow fentanyl the latest Halloween freak out 83 00:05:01,279 --> 00:05:05,760 Speaker 1: on a national scale, which just spoiler alert is is 84 00:05:05,800 --> 00:05:09,119 Speaker 1: a bullshit media panic. But the d A guy said, 85 00:05:09,680 --> 00:05:14,920 Speaker 1: I know it's rainbow. They're gonna give it to your kids. 86 00:05:15,120 --> 00:05:19,360 Speaker 1: Drug dealers love giving fitmal away for free. Anyways, before 87 00:05:19,360 --> 00:05:20,840 Speaker 1: we get to any of that, and if you know, 88 00:05:20,920 --> 00:05:23,360 Speaker 1: we do like to ask our guests, what is something 89 00:05:23,400 --> 00:05:28,840 Speaker 1: from your search history, my recent search history? Yeah, just 90 00:05:29,160 --> 00:05:33,280 Speaker 1: what whatever you're willing to divulge well before the grimness 91 00:05:33,320 --> 00:05:35,520 Speaker 1: of this last week, and I want to avoid that 92 00:05:35,600 --> 00:05:40,719 Speaker 1: week's very dark search history. But I was most recently 93 00:05:40,760 --> 00:05:45,360 Speaker 1: googling and surprised to find that The First Wives Club, 94 00:05:46,000 --> 00:05:49,200 Speaker 1: which is an old movie, whether it was actually about 95 00:05:49,200 --> 00:05:52,320 Speaker 1: President's wives as I thought it was, And it turns 96 00:05:52,320 --> 00:05:56,640 Speaker 1: out it's not. It's about the first first wife that 97 00:05:56,720 --> 00:06:02,320 Speaker 1: was divorced from the welcare and how those first wives 98 00:06:02,320 --> 00:06:07,400 Speaker 1: got together and exactly, which is like a way more 99 00:06:07,800 --> 00:06:11,279 Speaker 1: fun movie premise. And I was delighted to find that 100 00:06:11,320 --> 00:06:13,200 Speaker 1: this was the case because it kept being promoted to 101 00:06:13,240 --> 00:06:15,560 Speaker 1: me because I've been watching a lot of like I 102 00:06:15,600 --> 00:06:19,040 Speaker 1: can't watch anything new, it's too much to process. I've 103 00:06:19,040 --> 00:06:24,000 Speaker 1: been watching like when Harry met Sally legally blonde, clueless, 104 00:06:24,560 --> 00:06:27,760 Speaker 1: and this You've Got Me All this kept getting promoted 105 00:06:27,800 --> 00:06:29,720 Speaker 1: to me, and I was like, why would I want 106 00:06:29,720 --> 00:06:31,960 Speaker 1: to watch this movie? And then it turns out, Oh 107 00:06:32,000 --> 00:06:35,919 Speaker 1: my god, it's perfect. Barbara Bush and Nancy Reagan start 108 00:06:36,080 --> 00:06:39,800 Speaker 1: robbing banks together, Like I set it off type scenario 109 00:06:40,200 --> 00:06:47,400 Speaker 1: Tipper Gore can't get in the crew there. Yeah, I 110 00:06:47,520 --> 00:06:52,120 Speaker 1: kind of like first like First Wives that like that version. 111 00:06:53,400 --> 00:06:56,080 Speaker 1: I didn't watch that film, No, I just remember the 112 00:06:56,160 --> 00:06:59,200 Speaker 1: posters because they were all wearing white like they were 113 00:06:59,240 --> 00:07:01,520 Speaker 1: their outfits. There was like there. The marketing was like 114 00:07:01,560 --> 00:07:04,080 Speaker 1: here we are because Goldie Hawon and Diane Keaton and 115 00:07:04,120 --> 00:07:07,479 Speaker 1: Bed Midler, right, I think are the three? Yeah? Yeah, 116 00:07:07,600 --> 00:07:10,360 Speaker 1: And but the thing is like if they're all wearing white, 117 00:07:10,360 --> 00:07:15,320 Speaker 1: doesn't that make you think that it's about I don't know, Suffraget. 118 00:07:18,200 --> 00:07:23,239 Speaker 1: We went two different It was either suff or or 119 00:07:23,320 --> 00:07:25,320 Speaker 1: Well that's what like I was trying to picture like 120 00:07:25,400 --> 00:07:28,880 Speaker 1: a club made up of first you know, the first women, 121 00:07:29,080 --> 00:07:32,880 Speaker 1: first ladies of the from US history, and like I 122 00:07:32,920 --> 00:07:34,960 Speaker 1: feel like to get any sort of critical mask, you 123 00:07:35,000 --> 00:07:37,280 Speaker 1: would have to go to the afterlife. So that's where 124 00:07:37,280 --> 00:07:41,520 Speaker 1: my mind ghost, right, well, look, it turns out we 125 00:07:41,520 --> 00:07:48,200 Speaker 1: were all wrong, right, and it's it's about women exacting 126 00:07:48,240 --> 00:07:52,280 Speaker 1: revenge for being divorced from beyond the grave. What is 127 00:07:52,320 --> 00:07:57,920 Speaker 1: something you think is overrated? So I you know, well, 128 00:07:58,000 --> 00:08:00,080 Speaker 1: I guess we might talk about this later. But my 129 00:08:00,200 --> 00:08:04,840 Speaker 1: district in city Council is pretty large. It now stretches 130 00:08:04,920 --> 00:08:07,920 Speaker 1: from northern Silver Lake to Roseda, and so I spend 131 00:08:07,960 --> 00:08:11,760 Speaker 1: a lot of time driving and I'm always late, and 132 00:08:11,840 --> 00:08:15,360 Speaker 1: I feel like, here's the thing I've learned. I do 133 00:08:15,440 --> 00:08:17,400 Speaker 1: my makeup in the car. So I think doing makeup 134 00:08:17,440 --> 00:08:21,600 Speaker 1: at home, Wow, you're and you're able to be able 135 00:08:21,640 --> 00:08:24,560 Speaker 1: to drive and do your makeup. I do it at stoplights. Yeah, 136 00:08:25,240 --> 00:08:29,160 Speaker 1: I'm not dangerous about it, okay, because I remember, Yeah, 137 00:08:29,200 --> 00:08:32,400 Speaker 1: I remember sometimes like seeing like when when I was 138 00:08:32,440 --> 00:08:34,240 Speaker 1: in the midst of like my long commutes, when I 139 00:08:34,400 --> 00:08:36,120 Speaker 1: was like working the West Side and I lived in 140 00:08:36,120 --> 00:08:39,360 Speaker 1: the valley, going over the four oh five creeping, there 141 00:08:39,360 --> 00:08:41,600 Speaker 1: are always people doing their makeup, and I was always 142 00:08:41,600 --> 00:08:44,080 Speaker 1: like man with the stopping go. I always admired people 143 00:08:44,160 --> 00:08:47,440 Speaker 1: using like an eyeliner pencils so close to their eyeball 144 00:08:47,480 --> 00:08:50,160 Speaker 1: while like hit and stop and go traffic. I was 145 00:08:50,200 --> 00:08:52,240 Speaker 1: like there has to be some stat of like people 146 00:08:52,679 --> 00:08:56,920 Speaker 1: like traffic. But so yeah, and I will say, like 147 00:08:57,040 --> 00:09:00,640 Speaker 1: eyeliners the one thing I save for when I pull 148 00:09:00,679 --> 00:09:05,240 Speaker 1: into the park at the destination. But yeah, my foundation, 149 00:09:05,559 --> 00:09:11,320 Speaker 1: my blush. It's kind but yeah, but yeah, I think 150 00:09:11,360 --> 00:09:12,760 Speaker 1: about all the times you did your makeup in the 151 00:09:12,760 --> 00:09:17,839 Speaker 1: car jack. Yeah, you know, just like all the all 152 00:09:17,880 --> 00:09:20,439 Speaker 1: the stories. The other time I hear like these commuting 153 00:09:20,520 --> 00:09:24,400 Speaker 1: hacks is from like people in medical school, like and 154 00:09:25,960 --> 00:09:29,840 Speaker 1: it's just like ways to squeeze things in on your commute, 155 00:09:29,960 --> 00:09:34,720 Speaker 1: like to multitask, and like when my wife was going 156 00:09:34,720 --> 00:09:38,320 Speaker 1: through medical school, like their trick was like on the 157 00:09:38,320 --> 00:09:40,960 Speaker 1: commune when you're at a stoplight, you like, now you 158 00:09:41,000 --> 00:09:43,959 Speaker 1: put the car in park and nap until until the 159 00:09:44,040 --> 00:09:47,240 Speaker 1: car behind you honks, and then that's what wakes you 160 00:09:47,360 --> 00:09:51,320 Speaker 1: up from your nap, because that's just how it's It's 161 00:09:51,360 --> 00:09:55,280 Speaker 1: truly crazy that that's how we've decided to train doctors. 162 00:09:55,840 --> 00:09:59,439 Speaker 1: Is like we're gonna we're gonna make you sick, both 163 00:09:59,520 --> 00:10:02,520 Speaker 1: like phizz really and spiritually, and that's the only way 164 00:10:02,559 --> 00:10:05,360 Speaker 1: you get to take care of people. Right, that is 165 00:10:05,720 --> 00:10:10,600 Speaker 1: so much darker than Yeah, I've definitely had the same 166 00:10:10,640 --> 00:10:13,200 Speaker 1: thought that, like, why I'm going to start seeing people 167 00:10:13,280 --> 00:10:16,240 Speaker 1: driving by in the other direction with eye patches because 168 00:10:16,280 --> 00:10:19,680 Speaker 1: of how frequently I see people doing makeup while they're driving. 169 00:10:20,720 --> 00:10:24,439 Speaker 1: But you know, apparently it can be pulled off with 170 00:10:24,480 --> 00:10:28,120 Speaker 1: a plum. Yeah, what is What's something that you think 171 00:10:28,200 --> 00:10:35,160 Speaker 1: is underrated? Matthew? So, I have been really enjoying Bosh 172 00:10:35,320 --> 00:10:38,240 Speaker 1: the TV show, Okay, and I actually I don't know 173 00:10:38,280 --> 00:10:40,560 Speaker 1: if it's underrated. I think the people who find it 174 00:10:40,600 --> 00:10:44,600 Speaker 1: really like it. Yeah, the people of l A really 175 00:10:44,679 --> 00:10:46,800 Speaker 1: like it. Like I feel like it's a there's a 176 00:10:46,840 --> 00:10:50,319 Speaker 1: strong appreciation and that and people I know who are 177 00:10:50,400 --> 00:10:55,439 Speaker 1: like really into l A as a city love Bosh because, right, 178 00:10:55,559 --> 00:10:59,240 Speaker 1: isn't it? I have not dove in yet, but it does. 179 00:10:59,640 --> 00:11:05,840 Speaker 1: Like Teacher, it's like shot on on location throughout Los Angeles, right, well, 180 00:11:05,960 --> 00:11:08,240 Speaker 1: it is shot on location throughout Los Angeles. I will 181 00:11:08,280 --> 00:11:14,400 Speaker 1: also say that shocking, shockingly high percentage of the murders 182 00:11:14,400 --> 00:11:19,720 Speaker 1: happened in and around Council District four, which is not 183 00:11:19,880 --> 00:11:23,880 Speaker 1: true actually for crime stats, right, but putting an op 184 00:11:23,920 --> 00:11:28,400 Speaker 1: on you, Okay, like just look at Bosch, look happen 185 00:11:29,040 --> 00:11:34,599 Speaker 1: people are dying at the Hollywood Bowl people are dying. Yeah, 186 00:11:35,000 --> 00:11:43,079 Speaker 1: so another murder at the Hollywood Bowl for people who 187 00:11:43,080 --> 00:11:46,960 Speaker 1: aren't from l A. That's like the premier concert venue. 188 00:11:47,240 --> 00:11:51,320 Speaker 1: It's like that the Greek and then obviously like Staples 189 00:11:51,400 --> 00:11:54,040 Speaker 1: or the Forum for ant tour events. But yeah, the 190 00:11:54,080 --> 00:11:56,720 Speaker 1: Bowl is like our you know, any video game that 191 00:11:56,760 --> 00:11:58,600 Speaker 1: depicts l A, you gotta you have to build the 192 00:11:58,600 --> 00:12:01,000 Speaker 1: Hollywood Bowl when you're rendering, for sure. But it's also 193 00:12:01,080 --> 00:12:04,000 Speaker 1: weird the idea of someone getting murdered there, like I 194 00:12:04,040 --> 00:12:06,880 Speaker 1: think this, I think believe that this individual was murdered 195 00:12:06,920 --> 00:12:11,000 Speaker 1: in the pedestrian tunnel on the way to going underneath Highland. 196 00:12:11,320 --> 00:12:16,160 Speaker 1: Yeah yeah, yeah, yeah, okay, yeah, but anyway, but there's 197 00:12:16,240 --> 00:12:19,720 Speaker 1: like a lot a lot of council district forearm references. 198 00:12:19,800 --> 00:12:23,760 Speaker 1: So yeah, and do you when you're watching that, are 199 00:12:23,800 --> 00:12:27,720 Speaker 1: you like or you're just kind of you're you're able 200 00:12:27,760 --> 00:12:30,880 Speaker 1: to buy into the to the fantasy of like do 201 00:12:30,920 --> 00:12:32,839 Speaker 1: you do you do you? Are you ever? Like I'm 202 00:12:32,920 --> 00:12:36,120 Speaker 1: kind of bosh. I can't I could turn my job 203 00:12:36,160 --> 00:12:38,679 Speaker 1: as a city council member into like going around and 204 00:12:38,840 --> 00:12:45,960 Speaker 1: murder she wroting, so some y it's a totally boys 205 00:12:46,240 --> 00:12:49,840 Speaker 1: escapist escapist yeah, for sure, I think if it was 206 00:12:49,920 --> 00:12:53,840 Speaker 1: like too close to what we were seeing in l A, 207 00:12:54,679 --> 00:12:56,840 Speaker 1: I think I would have more trouble with it as 208 00:12:56,920 --> 00:13:01,000 Speaker 1: a as a relaxation right right. And the other actually, 209 00:13:01,080 --> 00:13:03,800 Speaker 1: can I do a serious one that I find underrated, 210 00:13:04,600 --> 00:13:08,600 Speaker 1: which is there's a documentary series called Philly d A 211 00:13:08,600 --> 00:13:13,880 Speaker 1: about Larry Krasner. Mm hmm, and that's it's one of 212 00:13:13,880 --> 00:13:17,280 Speaker 1: the best things I've watched in the past like two years, 213 00:13:17,520 --> 00:13:20,480 Speaker 1: and it's it's amazing, and it was so real and 214 00:13:20,559 --> 00:13:24,040 Speaker 1: so potent as a piece of filmmaking. I had to 215 00:13:24,120 --> 00:13:27,880 Speaker 1: pause it numerous times, you know, just because of what's happened. 216 00:13:27,880 --> 00:13:29,680 Speaker 1: You know, it was like too much for me to process, 217 00:13:29,920 --> 00:13:32,240 Speaker 1: especially given all that you know, all that's happening in 218 00:13:32,240 --> 00:13:35,559 Speaker 1: America right now. I just was like, oh my gosh. Yeah, 219 00:13:35,840 --> 00:13:37,920 Speaker 1: and I think very aligned with some of the questions 220 00:13:37,920 --> 00:13:42,960 Speaker 1: that you were asking Jack earlier about politics and the 221 00:13:42,960 --> 00:13:47,000 Speaker 1: future of America and progressive Yeah. They that feels like 222 00:13:47,120 --> 00:13:49,520 Speaker 1: the it's like the low hanging fruit for a lot 223 00:13:49,559 --> 00:13:52,679 Speaker 1: of people to go after trying to explain away certain 224 00:13:52,720 --> 00:13:54,680 Speaker 1: hills to be like, well, it's the progressive d A's 225 00:13:55,280 --> 00:13:58,280 Speaker 1: actually right, and we've seen that here in Los Angeles 226 00:13:58,280 --> 00:14:02,080 Speaker 1: with the attempted recalls, So Georgia gone, and you know, 227 00:14:02,160 --> 00:14:05,559 Speaker 1: I think it's really relevant for a lot of what's happening, 228 00:14:05,880 --> 00:14:11,040 Speaker 1: But it also talks about his office and management, and 229 00:14:11,720 --> 00:14:15,720 Speaker 1: you know, it's it's a complicated, complicated I think that 230 00:14:15,800 --> 00:14:20,520 Speaker 1: he's dealing with over there right right. And and given 231 00:14:20,520 --> 00:14:23,080 Speaker 1: the recall of San Francisco's d A, like, there's just 232 00:14:23,160 --> 00:14:27,600 Speaker 1: a lot happening right now. Yeah, the San Francisco's d 233 00:14:27,640 --> 00:14:33,800 Speaker 1: A was I don't really regularly consume the Wall Street 234 00:14:33,840 --> 00:14:39,160 Speaker 1: Journal or Fox News, but in talking to conservative relatives, 235 00:14:39,800 --> 00:14:42,560 Speaker 1: I did not realize how much of a national figure 236 00:14:42,920 --> 00:14:46,360 Speaker 1: like they had made San Francisco's progressive d A and 237 00:14:46,480 --> 00:14:49,600 Speaker 1: like that just the idea. They were like, that's he's 238 00:14:49,640 --> 00:14:54,200 Speaker 1: lost control of the city. Like, I feel like the 239 00:14:54,240 --> 00:14:58,840 Speaker 1: rest of the country was so all over this narrative 240 00:14:59,080 --> 00:15:04,360 Speaker 1: that progressive is in California. We're like, you know, causing 241 00:15:04,480 --> 00:15:08,000 Speaker 1: an apocalypse, right And now when you talk to people 242 00:15:08,080 --> 00:15:10,680 Speaker 1: from outside of l A, They're like, how do you 243 00:15:10,800 --> 00:15:14,480 Speaker 1: how do you live there? It's crazy. I live in 244 00:15:14,480 --> 00:15:18,120 Speaker 1: a version where I'm actually I know my neighbors and stuff, 245 00:15:18,720 --> 00:15:21,360 Speaker 1: not as freaky as the people with an agenda want 246 00:15:21,360 --> 00:15:23,320 Speaker 1: to make it seem but yeah, there are issues that 247 00:15:23,440 --> 00:15:26,680 Speaker 1: definitely have to solve like any Yeah, and I don't 248 00:15:26,720 --> 00:15:29,880 Speaker 1: you know, I don't think you ever, you don't ever, 249 00:15:31,080 --> 00:15:33,440 Speaker 1: you know, I don't think you get anywhere talking about 250 00:15:33,480 --> 00:15:37,160 Speaker 1: crime and people's fear and sense of safety in in 251 00:15:37,160 --> 00:15:39,920 Speaker 1: in a city by dismissing it. I think you talk 252 00:15:39,960 --> 00:15:43,240 Speaker 1: about what are real solutions to addressing it. But anyway, Yeah, 253 00:15:43,240 --> 00:15:47,480 Speaker 1: the fearmongering is fearmongering is also very real. And I 254 00:15:47,520 --> 00:15:49,960 Speaker 1: think there was they there was a little bit of 255 00:15:50,000 --> 00:15:55,360 Speaker 1: just creating a bogeyman around these right, because you know, 256 00:15:55,400 --> 00:15:57,520 Speaker 1: they put in a new d A and the same 257 00:15:57,560 --> 00:16:01,560 Speaker 1: things are happening before. Yeah, yeah, in San Francisco, of course. 258 00:16:01,760 --> 00:16:03,920 Speaker 1: All right, let's take a quick break. We'll be right 259 00:16:03,960 --> 00:16:08,240 Speaker 1: back to dig into how to be progressive, How I 260 00:16:08,280 --> 00:16:11,400 Speaker 1: am be progressive. They've broken my brain. I don't know 261 00:16:11,600 --> 00:16:16,000 Speaker 1: how to even deal in the modern United States. So 262 00:16:16,040 --> 00:16:18,280 Speaker 1: I want to I want to hear how you're thinking 263 00:16:18,320 --> 00:16:31,520 Speaker 1: about that in one moment and we're back. Yeah. So 264 00:16:31,720 --> 00:16:34,560 Speaker 1: something that we just kind of keep coming up against, 265 00:16:34,600 --> 00:16:40,520 Speaker 1: whether it be with regards to you know, crime statistics 266 00:16:40,760 --> 00:16:45,360 Speaker 1: during the pandemic that we've already kind of made reference 267 00:16:45,400 --> 00:16:47,920 Speaker 1: to and that a lot of that got blamed on 268 00:16:48,160 --> 00:16:51,000 Speaker 1: progressive d a s, a lot of it got blamed 269 00:16:51,120 --> 00:16:56,160 Speaker 1: on the Black Lives Matter movement, and uh, you know, 270 00:16:56,280 --> 00:16:59,800 Speaker 1: and and now the statistics are are coming coming out, 271 00:17:00,000 --> 00:17:03,000 Speaker 1: and you know, people are actually looking at things and 272 00:17:03,480 --> 00:17:08,280 Speaker 1: seeing that crime went up everywhere and in the United States, 273 00:17:08,600 --> 00:17:13,000 Speaker 1: whether it was a progressive d A or a judge 274 00:17:13,080 --> 00:17:15,840 Speaker 1: with a noose in like the woods somewhere, like, the 275 00:17:15,920 --> 00:17:19,920 Speaker 1: crime went up all of those places. And in urban 276 00:17:19,960 --> 00:17:22,760 Speaker 1: areas and in rural areas, Yeah, that's the other you know, 277 00:17:22,800 --> 00:17:27,119 Speaker 1: like I think actually homicide spiked in rural areas even 278 00:17:27,160 --> 00:17:31,240 Speaker 1: more than they did in urban areas. And you know, 279 00:17:31,320 --> 00:17:33,040 Speaker 1: it's starting it's starting to seem like a lot of 280 00:17:33,080 --> 00:17:38,320 Speaker 1: these informal and formal you know, social networks that we 281 00:17:38,400 --> 00:17:42,760 Speaker 1: all have with going places, seeing people these like third 282 00:17:42,760 --> 00:17:45,560 Speaker 1: places that are in our home where you know, once 283 00:17:45,680 --> 00:17:48,919 Speaker 1: those went away and people just had more time and 284 00:17:48,960 --> 00:17:51,719 Speaker 1: we're shut up in their home. And also everybody started 285 00:17:51,720 --> 00:17:55,280 Speaker 1: buying more guns, like you know, those things were all 286 00:17:55,320 --> 00:17:58,959 Speaker 1: contributing factors. And also a bunch of crime statistics disappeared 287 00:17:59,280 --> 00:18:03,280 Speaker 1: for for the year, more so that they weren't like, 288 00:18:03,520 --> 00:18:07,440 Speaker 1: you know, jurisdictions in like Florida and Pennsylvania and California 289 00:18:07,480 --> 00:18:10,800 Speaker 1: which are massively represent like a lot of these statistics 290 00:18:10,920 --> 00:18:14,280 Speaker 1: weren't using like the new standardized way of reporting that 291 00:18:14,320 --> 00:18:16,680 Speaker 1: the FBI was asking for as they put together there 292 00:18:17,080 --> 00:18:20,680 Speaker 1: annual statistics. And that's whether they're like we're even now 293 00:18:20,720 --> 00:18:22,520 Speaker 1: if you want to make this sort of claim, like 294 00:18:22,520 --> 00:18:26,320 Speaker 1: you're dealing with incomplete data at best. But I didn't 295 00:18:26,320 --> 00:18:29,000 Speaker 1: even know that. Yeah, so so just like so we 296 00:18:29,080 --> 00:18:30,960 Speaker 1: have this narrative, like we we say, like they are 297 00:18:31,040 --> 00:18:34,280 Speaker 1: these policies and these social you know, things that we 298 00:18:34,280 --> 00:18:37,840 Speaker 1: should be investing in that went away during the pandemic, 299 00:18:37,880 --> 00:18:41,160 Speaker 1: and it turns out they're enormously popular or and enormously 300 00:18:41,200 --> 00:18:45,359 Speaker 1: important and without them, like things get really bad really quickly. 301 00:18:45,760 --> 00:18:51,040 Speaker 1: Very straightforward story to tell people about, you know, progressive politics. 302 00:18:51,400 --> 00:18:54,520 Speaker 1: And instead the version that comes back to us in 303 00:18:54,560 --> 00:18:59,080 Speaker 1: the mainstream media is that it's either progressive d a 304 00:18:59,240 --> 00:19:03,640 Speaker 1: s or's that like the police were defunded even though 305 00:19:03,680 --> 00:19:07,560 Speaker 1: they were still super duper funded. Like it's it's just 306 00:19:07,640 --> 00:19:11,679 Speaker 1: like that story in particular, where there is a truth 307 00:19:11,840 --> 00:19:15,439 Speaker 1: that is pretty straightforward that can be told and answer 308 00:19:15,520 --> 00:19:18,880 Speaker 1: all these questions, and that just like doesn't get told. 309 00:19:19,760 --> 00:19:23,600 Speaker 1: Is one of the examples where I just feel like America, 310 00:19:24,200 --> 00:19:28,000 Speaker 1: like the body of America, rejects anything having to do 311 00:19:28,080 --> 00:19:33,280 Speaker 1: with socialism and is addicted to this idea of violence 312 00:19:33,480 --> 00:19:37,679 Speaker 1: and anything that can drive a profit, like militarization of 313 00:19:37,720 --> 00:19:41,639 Speaker 1: the police can. So I don't know, like just just 314 00:19:41,680 --> 00:19:49,040 Speaker 1: sort of a vague like how you comment, Yeah, your comment? Please? Well, 315 00:19:49,080 --> 00:19:53,239 Speaker 1: you know, I I what I can speak to is 316 00:19:53,359 --> 00:19:57,560 Speaker 1: what I've been dealing with here in Los Angeles, and 317 00:19:57,800 --> 00:20:02,360 Speaker 1: I think we had this very heated conversation shin about 318 00:20:03,160 --> 00:20:06,800 Speaker 1: police and the role of policing in in Los Angeles 319 00:20:07,480 --> 00:20:10,840 Speaker 1: and a call for you know, real changes to how 320 00:20:10,880 --> 00:20:15,600 Speaker 1: we respond to or or or utilize policing here here 321 00:20:15,640 --> 00:20:19,040 Speaker 1: in this city. And then, you know, I think in 322 00:20:19,040 --> 00:20:24,479 Speaker 1: the in in after the election in in November, slowly 323 00:20:24,480 --> 00:20:29,399 Speaker 1: there started you know, becoming a backlash around really talking 324 00:20:29,440 --> 00:20:32,280 Speaker 1: about increases in the number of homicides, increases in crime 325 00:20:32,320 --> 00:20:36,520 Speaker 1: across America in Los Angeles, and what is very true 326 00:20:36,600 --> 00:20:39,520 Speaker 1: is that those numbers have gone up, as you mentioned, 327 00:20:39,560 --> 00:20:42,320 Speaker 1: and that they've gone up regardless of jurisdiction. They've gone up. 328 00:20:42,320 --> 00:20:45,080 Speaker 1: In urban and urban and rural areas. They've gone up 329 00:20:45,119 --> 00:20:50,160 Speaker 1: across cities, regardless of their policies, regardless of whether they 330 00:20:50,200 --> 00:20:53,480 Speaker 1: have progressive or non progressive days. I mean, there has 331 00:20:53,520 --> 00:20:56,520 Speaker 1: been a rise in homicides across the entire country, and 332 00:20:56,520 --> 00:20:58,680 Speaker 1: that's that's the reality of the moment that we're living in. 333 00:20:59,080 --> 00:21:02,080 Speaker 1: And so in response to that increase, there has been 334 00:21:02,080 --> 00:21:06,840 Speaker 1: a push locally and nationally for more police, more police 335 00:21:06,880 --> 00:21:09,879 Speaker 1: on our streets, more money to policing. And so you 336 00:21:09,960 --> 00:21:13,000 Speaker 1: had this kind of you know, whiplash moment where after 337 00:21:13,040 --> 00:21:16,480 Speaker 1: this intense conversation around the role of police and how 338 00:21:16,560 --> 00:21:19,640 Speaker 1: you deploy them in cities, you had this very intense 339 00:21:19,640 --> 00:21:24,040 Speaker 1: backlash that that came forward. And for me, what's been 340 00:21:24,080 --> 00:21:28,640 Speaker 1: really I think as someone who's trying to navigate these 341 00:21:28,640 --> 00:21:32,919 Speaker 1: conversations and legislate in these conversations, is that here in 342 00:21:33,119 --> 00:21:36,879 Speaker 1: l A, we couldn't hire more police even if we 343 00:21:36,960 --> 00:21:41,560 Speaker 1: wanted to. The l A p D is facing such 344 00:21:41,560 --> 00:21:44,959 Speaker 1: intense staffing shortages and they're not unique among city departments 345 00:21:45,840 --> 00:21:49,040 Speaker 1: right so across the entire city, as in the private sector, 346 00:21:49,200 --> 00:21:55,600 Speaker 1: there are intense staffing shortages facing the city and in 347 00:21:55,680 --> 00:21:58,080 Speaker 1: fact l A p D has been allocated for a 348 00:21:58,080 --> 00:22:01,200 Speaker 1: certain number of positions in the budget and hasn't even 349 00:22:01,240 --> 00:22:04,640 Speaker 1: been able to fill them because of attrition and because 350 00:22:04,640 --> 00:22:07,320 Speaker 1: they're not able to hire up fast enough. So retirements 351 00:22:07,320 --> 00:22:10,120 Speaker 1: have been so many that that they haven't been able 352 00:22:10,160 --> 00:22:14,120 Speaker 1: to hire up to match that retirement numbers. And so 353 00:22:14,200 --> 00:22:16,000 Speaker 1: to me, the question like when I go out and 354 00:22:16,040 --> 00:22:18,399 Speaker 1: talk to constituents and constituents are telling me, you know, 355 00:22:18,440 --> 00:22:21,040 Speaker 1: I feel anxious. I'm seeing the news, I'm seeing all 356 00:22:21,080 --> 00:22:24,479 Speaker 1: these I really want to talk to them about. Okay, 357 00:22:24,520 --> 00:22:28,000 Speaker 1: we're in this moment. The solutions that have been proposed 358 00:22:28,040 --> 00:22:30,120 Speaker 1: for decades, which is, let's add to the police, let's 359 00:22:30,119 --> 00:22:31,840 Speaker 1: add to the police, let's add to the police in 360 00:22:31,880 --> 00:22:35,439 Speaker 1: response to your fears. That's not that's not possible right 361 00:22:35,440 --> 00:22:37,800 Speaker 1: now because of this moment. So how do we think 362 00:22:37,880 --> 00:22:40,879 Speaker 1: about what is really going to make you feel safer? 363 00:22:41,400 --> 00:22:42,920 Speaker 1: And I think a lot of those things that were 364 00:22:42,920 --> 00:22:45,919 Speaker 1: discussed in exactly what we need to be investing in 365 00:22:46,000 --> 00:22:48,960 Speaker 1: right now. It's you know, how do we respond to 366 00:22:49,000 --> 00:22:54,040 Speaker 1: homelessness without police involvement. I hear from my the senior 367 00:22:54,119 --> 00:22:56,240 Speaker 1: lead officers that are kind of in charge of various 368 00:22:56,280 --> 00:22:59,640 Speaker 1: parts of our district that forty two six of their 369 00:22:59,640 --> 00:23:02,800 Speaker 1: time spent responding to calls about homelessness that are not 370 00:23:02,880 --> 00:23:06,760 Speaker 1: related to violent crime or assault. It's just there's an 371 00:23:06,840 --> 00:23:09,800 Speaker 1: encampment here, you know, And so they're going out and 372 00:23:09,840 --> 00:23:13,040 Speaker 1: doing that work. But are they the right people to 373 00:23:13,080 --> 00:23:15,159 Speaker 1: be responding to that? Is there a better way that 374 00:23:15,200 --> 00:23:18,359 Speaker 1: we can be responding to calls about homelessness that you 375 00:23:18,400 --> 00:23:21,320 Speaker 1: know that really tries to get those individuals who are 376 00:23:21,359 --> 00:23:24,840 Speaker 1: on the streets on their path into a home. If 377 00:23:24,840 --> 00:23:28,199 Speaker 1: you're talking about traffic response, you know, what are we 378 00:23:28,280 --> 00:23:31,040 Speaker 1: doing in terms of monitoring traffic safety when when you 379 00:23:31,080 --> 00:23:35,119 Speaker 1: have a collision, does armed police need to come out 380 00:23:35,200 --> 00:23:37,560 Speaker 1: and respond there or can we send someone else? Or 381 00:23:37,600 --> 00:23:40,520 Speaker 1: is there ways of doing traffic enforcement that doesn't that 382 00:23:40,560 --> 00:23:43,119 Speaker 1: doesn't involve armed police as much because there are d 383 00:23:43,240 --> 00:23:46,480 Speaker 1: O T traffic officers Department of Transportation traffic officers as well. 384 00:23:47,119 --> 00:23:49,280 Speaker 1: But how do we think about that in ways that 385 00:23:49,320 --> 00:23:53,240 Speaker 1: really remove police from areas where they have been before? 386 00:23:53,280 --> 00:23:57,000 Speaker 1: Mental health crisis response, you know, are there are there 387 00:23:57,000 --> 00:23:59,760 Speaker 1: many many situations where we're sending armed police out when 388 00:23:59,760 --> 00:24:02,040 Speaker 1: we own and so I think for me, it's like, 389 00:24:02,480 --> 00:24:05,520 Speaker 1: let's have a conversation about safety. You know, let's have 390 00:24:05,560 --> 00:24:08,440 Speaker 1: this conversation about what it really means to have a 391 00:24:08,960 --> 00:24:12,399 Speaker 1: response to safety, that that that really responds to the 392 00:24:12,400 --> 00:24:14,439 Speaker 1: needs that we have in Los Angeles and responds to 393 00:24:14,480 --> 00:24:17,439 Speaker 1: the conditions that we're facing here, that doesn't just go 394 00:24:17,680 --> 00:24:23,920 Speaker 1: to this. You know, ultimately, if you're hearing from politicians that, oh, 395 00:24:23,960 --> 00:24:25,959 Speaker 1: you're not feeling safe, we're going to add police, Like 396 00:24:26,040 --> 00:24:28,320 Speaker 1: that's at this point, I can tell you that that's 397 00:24:28,359 --> 00:24:31,280 Speaker 1: a lie in l A, right, because it's just you're saying, 398 00:24:31,320 --> 00:24:34,640 Speaker 1: functionally not possible. It's not possible, because it's just not possible. 399 00:24:34,720 --> 00:24:38,639 Speaker 1: We can't go to that well anymore. So, so in 400 00:24:38,760 --> 00:24:42,040 Speaker 1: order to have a conversation about what what responds to 401 00:24:42,119 --> 00:24:44,760 Speaker 1: the very real challenges that we're facing in Los Angeles 402 00:24:44,840 --> 00:24:46,600 Speaker 1: right now need to be I think we just have 403 00:24:46,640 --> 00:24:50,600 Speaker 1: to have a very different conversation and and I think 404 00:24:50,600 --> 00:24:52,639 Speaker 1: we have to be real with constituents about that. We 405 00:24:52,640 --> 00:24:54,439 Speaker 1: have to be real with Angelina's about that. And I 406 00:24:54,440 --> 00:24:57,399 Speaker 1: think I would imagine that many other cities across America 407 00:24:57,440 --> 00:25:01,280 Speaker 1: are facing these same challenges and curious because you know, 408 00:25:01,359 --> 00:25:04,320 Speaker 1: like with with police budgets, I know you voted to 409 00:25:04,359 --> 00:25:07,639 Speaker 1: increase them. And I know there's probably more nuance around 410 00:25:07,640 --> 00:25:09,960 Speaker 1: it than some people. I feel like some people just say, 411 00:25:10,000 --> 00:25:12,720 Speaker 1: I can't believe she voted to increase police budgets just 412 00:25:12,840 --> 00:25:16,760 Speaker 1: full stop, because if they felt, maybe on then the campaign, 413 00:25:16,880 --> 00:25:19,920 Speaker 1: this is something you're fully invested in, but for one 414 00:25:19,920 --> 00:25:22,560 Speaker 1: reason or another that there are things like caps on 415 00:25:22,800 --> 00:25:25,240 Speaker 1: how many people can be you know, hired, or the 416 00:25:25,280 --> 00:25:28,400 Speaker 1: ability to hire more people, or that certain raises are 417 00:25:28,400 --> 00:25:32,000 Speaker 1: built in based on like union agreements. How like you 418 00:25:32,240 --> 00:25:33,919 Speaker 1: like earlier you were saying, it's like you're now you're 419 00:25:33,960 --> 00:25:36,919 Speaker 1: in this position where you're trying to navigate that and 420 00:25:37,119 --> 00:25:39,879 Speaker 1: legislate based from that position. How do you sort of 421 00:25:39,880 --> 00:25:41,679 Speaker 1: what do you put forward to people who may have 422 00:25:41,760 --> 00:25:45,560 Speaker 1: been like really looking at the idea of police like 423 00:25:45,680 --> 00:25:49,480 Speaker 1: increasing police budgets bad? So therefore that I can't I'm 424 00:25:49,480 --> 00:25:51,639 Speaker 1: not going to think much more about it, because, like 425 00:25:51,680 --> 00:25:54,960 Speaker 1: you said, had a lot of people just very invested 426 00:25:54,960 --> 00:25:58,200 Speaker 1: in this one or at least one dimension of altering 427 00:25:58,560 --> 00:26:02,080 Speaker 1: how we respond to certain you know, emergencies in our city. Yeah, 428 00:26:02,119 --> 00:26:03,720 Speaker 1: and the first, you know, I think I really want 429 00:26:03,760 --> 00:26:06,840 Speaker 1: to say that, like I receive a lot of criticism 430 00:26:06,880 --> 00:26:09,000 Speaker 1: about my work I also receive a lot of support, 431 00:26:09,000 --> 00:26:10,800 Speaker 1: but I receive a lot of criticism. And I'm I'm 432 00:26:10,920 --> 00:26:14,120 Speaker 1: very like if people are disappointed, like I just want 433 00:26:14,160 --> 00:26:15,960 Speaker 1: to say, this is not me saying they don't have 434 00:26:16,000 --> 00:26:18,399 Speaker 1: any right to be disappointed or you know whatever, Like 435 00:26:18,480 --> 00:26:23,639 Speaker 1: I understand, and I'm I'm out here trying to navigate 436 00:26:23,720 --> 00:26:26,400 Speaker 1: this in the way that one person out of fifteen 437 00:26:26,520 --> 00:26:29,159 Speaker 1: can and and really deliver the best results for the 438 00:26:29,160 --> 00:26:32,840 Speaker 1: people of my district at this moment. And during the 439 00:26:32,840 --> 00:26:36,719 Speaker 1: budget process, I put forward some you know, long pieces 440 00:26:36,760 --> 00:26:39,800 Speaker 1: of writing about why I you know, what my relationship 441 00:26:39,840 --> 00:26:42,919 Speaker 1: to the budget process was. But the one thing I 442 00:26:42,960 --> 00:26:45,960 Speaker 1: do want to say about the Los Angeles budget when 443 00:26:45,960 --> 00:26:48,200 Speaker 1: we that budget vote is not an updown vote on 444 00:26:48,240 --> 00:26:51,679 Speaker 1: the police budget alone. It's an omnibus budget, right, So 445 00:26:51,720 --> 00:26:54,160 Speaker 1: it's like all these things and and there's a huge 446 00:26:54,200 --> 00:26:56,679 Speaker 1: amount of negotiation that happens as we move through it, 447 00:26:56,760 --> 00:26:58,399 Speaker 1: where you're saying, Okay, how much money am I going 448 00:26:58,440 --> 00:27:00,600 Speaker 1: to get for the Planning Department? How much money am 449 00:27:00,600 --> 00:27:02,960 Speaker 1: I going to get for building affordable housing in Los Angeles? 450 00:27:02,960 --> 00:27:05,359 Speaker 1: How much money am I going to get for for 451 00:27:05,560 --> 00:27:09,000 Speaker 1: active transportation? Like you know, I I'm really a big 452 00:27:09,000 --> 00:27:13,520 Speaker 1: proponent of bike lanes and traffic safety measures, and I 453 00:27:13,560 --> 00:27:16,040 Speaker 1: actually can't get those implemented in my district because we 454 00:27:16,080 --> 00:27:19,160 Speaker 1: don't have staff at the Department of Transportation to design 455 00:27:19,280 --> 00:27:21,840 Speaker 1: those measures on our roads. And one of the big 456 00:27:21,880 --> 00:27:24,000 Speaker 1: things I fought for and that budget was more people 457 00:27:24,480 --> 00:27:28,000 Speaker 1: to work on active transportation measures. And I got that. Um, 458 00:27:28,000 --> 00:27:31,200 Speaker 1: I got that as part of the budget process. And yeah, 459 00:27:31,280 --> 00:27:35,280 Speaker 1: like the police funding was a big part of the budget. 460 00:27:35,400 --> 00:27:37,760 Speaker 1: It has been historically a big part of the budget. 461 00:27:38,280 --> 00:27:41,199 Speaker 1: And there were raises baked into it that increased the 462 00:27:41,320 --> 00:27:44,480 Speaker 1: numbers of how much money we were committing to the 463 00:27:44,520 --> 00:27:48,720 Speaker 1: police force. And looking at that and looking at what 464 00:27:48,880 --> 00:27:51,280 Speaker 1: I was able to get out of the budget, you know, 465 00:27:51,400 --> 00:27:53,119 Speaker 1: I I move forward with it because I think when 466 00:27:53,119 --> 00:27:56,159 Speaker 1: you're negotiating on it, you're saying, Okay, I'll support this 467 00:27:56,200 --> 00:27:58,480 Speaker 1: if we can do this, this and this right, And 468 00:27:58,680 --> 00:28:01,399 Speaker 1: I get like, you know, it's like any like you know, 469 00:28:01,400 --> 00:28:04,199 Speaker 1: they're omnibus bills and the federal level that you know, 470 00:28:04,280 --> 00:28:07,880 Speaker 1: certain certain items are like poison pills for some legislators 471 00:28:07,880 --> 00:28:10,720 Speaker 1: and some aren't for you to see like a version 472 00:28:10,760 --> 00:28:13,800 Speaker 1: of Los Angeles where we can legislate in that way, 473 00:28:14,119 --> 00:28:17,040 Speaker 1: and we are saying like without you know, all of 474 00:28:17,119 --> 00:28:19,720 Speaker 1: like the to address all of these needs that we 475 00:28:19,800 --> 00:28:22,240 Speaker 1: have while really being able to like have a laser 476 00:28:22,280 --> 00:28:26,800 Speaker 1: focus on, you know, realizing well, they're the direct increase 477 00:28:26,840 --> 00:28:29,600 Speaker 1: in police budgets doesn't correlate to our an increase in 478 00:28:29,600 --> 00:28:32,920 Speaker 1: our safety. How are we able to sort of streamline 479 00:28:32,960 --> 00:28:35,160 Speaker 1: the process because I'm sure there's many there's so many 480 00:28:35,240 --> 00:28:37,800 Speaker 1: voices that come into that process that I'm sure it's 481 00:28:38,280 --> 00:28:40,800 Speaker 1: it becomes chaotic, Like what are you know? Like, I 482 00:28:40,800 --> 00:28:42,360 Speaker 1: think that's why a lot of people when we look 483 00:28:42,360 --> 00:28:45,160 Speaker 1: at how we can change things, we always see how 484 00:28:45,280 --> 00:28:48,840 Speaker 1: the established process is basically the biggest hurdle into like 485 00:28:49,120 --> 00:28:53,080 Speaker 1: meaningful change. Yeah, I'm curious, like what's the version that 486 00:28:53,120 --> 00:28:55,200 Speaker 1: we need to be thinking of that allows us to 487 00:28:55,240 --> 00:28:57,480 Speaker 1: have these conversations where we can't say, you know what, 488 00:28:57,800 --> 00:28:59,800 Speaker 1: we have enough votes on the city council, we know 489 00:29:00,000 --> 00:29:04,120 Speaker 1: it like having more invested in social services and people 490 00:29:04,160 --> 00:29:06,760 Speaker 1: who are trained in responding to crises like this, that 491 00:29:06,840 --> 00:29:08,720 Speaker 1: we can do that in a very easy way. But 492 00:29:08,760 --> 00:29:11,080 Speaker 1: I get that there's so much entrenched power. But I'm curious, 493 00:29:11,240 --> 00:29:14,080 Speaker 1: as someone who wrestling that, what's you know, like, what's 494 00:29:14,120 --> 00:29:16,400 Speaker 1: the vision of that for the future. So I think 495 00:29:16,480 --> 00:29:18,360 Speaker 1: one of the things that people have to understand about 496 00:29:18,400 --> 00:29:19,959 Speaker 1: the way that the l A City Council is set up, 497 00:29:19,960 --> 00:29:22,080 Speaker 1: and this may not be relevant for your national audience, 498 00:29:22,120 --> 00:29:24,920 Speaker 1: but is that a lot of the work of determining 499 00:29:24,960 --> 00:29:29,160 Speaker 1: what projects move forward and what programs move forward, it 500 00:29:29,520 --> 00:29:31,560 Speaker 1: is done through committees. And I don't sit on the 501 00:29:31,560 --> 00:29:33,680 Speaker 1: Public Safety Committee, but I think the people who sit 502 00:29:33,720 --> 00:29:36,120 Speaker 1: on the Public Safety Committee have will have a lot 503 00:29:36,160 --> 00:29:40,760 Speaker 1: of power over what happens in terms of our response 504 00:29:40,800 --> 00:29:44,720 Speaker 1: to public safety issues in l A. So the key 505 00:29:44,800 --> 00:29:48,640 Speaker 1: things are the council president assigns people to various committees. 506 00:29:49,280 --> 00:29:51,160 Speaker 1: And you know, if you've been following the news, you 507 00:29:51,200 --> 00:29:55,160 Speaker 1: know who was our council president till very recently, Yes Martinez, 508 00:29:55,560 --> 00:29:58,600 Speaker 1: Yes Neri Martinez. And so she assigned me to the 509 00:29:58,640 --> 00:30:01,000 Speaker 1: Housing Committee, to the homeless, some poverty committee, to These 510 00:30:01,000 --> 00:30:03,480 Speaker 1: are all committees that I think are really important, but 511 00:30:03,520 --> 00:30:05,520 Speaker 1: I'm not I don't sit on the Public Safety Committee, 512 00:30:05,520 --> 00:30:07,800 Speaker 1: and I think that committee is really responsible for trying 513 00:30:07,920 --> 00:30:12,680 Speaker 1: to bring up and ensure that departments are following through 514 00:30:12,720 --> 00:30:16,840 Speaker 1: on alternative responses to public safety. Right and without that 515 00:30:16,880 --> 00:30:20,760 Speaker 1: committee's leadership and its chair really pushing forward on those 516 00:30:21,160 --> 00:30:23,200 Speaker 1: it's going to be hard to see progress. So the 517 00:30:23,240 --> 00:30:25,920 Speaker 1: reality is a lot of the power on those issues 518 00:30:26,040 --> 00:30:30,720 Speaker 1: sits within that committee. The committee chair determines which motions 519 00:30:30,760 --> 00:30:33,160 Speaker 1: get hurt by the Committee and moved to the full Council. 520 00:30:33,920 --> 00:30:38,760 Speaker 1: And we don't have right now a coherent alternative response 521 00:30:39,720 --> 00:30:43,280 Speaker 1: system in place in Los Angeles, right So that's that's 522 00:30:43,280 --> 00:30:45,440 Speaker 1: the other reality of the moment that we're facing right 523 00:30:45,480 --> 00:30:48,000 Speaker 1: now is that there's all these great ideas. There is 524 00:30:48,040 --> 00:30:51,760 Speaker 1: a pilot program in Hollywood and Venice called the Circle program, 525 00:30:51,800 --> 00:30:54,800 Speaker 1: which is supposed to take some of the you know, 526 00:30:55,160 --> 00:30:57,600 Speaker 1: nine one one calls that are coming in and moving 527 00:30:57,640 --> 00:31:02,320 Speaker 1: them to unarmed response. There is a mobile van that's 528 00:31:02,320 --> 00:31:05,600 Speaker 1: supposed to be housed at fire stations and go out 529 00:31:05,760 --> 00:31:09,600 Speaker 1: from there. So there's all these different pilot programs, but 530 00:31:09,680 --> 00:31:15,960 Speaker 1: there's no coherence around thinking about what are these programs doing, 531 00:31:16,160 --> 00:31:19,360 Speaker 1: what are they actually changing as we move forward, are 532 00:31:19,360 --> 00:31:22,560 Speaker 1: they effective, what's the most effective, How can we really 533 00:31:22,600 --> 00:31:26,800 Speaker 1: invest and expanding them beyond the pilot phase. Actually put 534 00:31:26,840 --> 00:31:29,480 Speaker 1: forward a motion earlier this year which just is making 535 00:31:29,520 --> 00:31:33,520 Speaker 1: its way through the Committee and the council asking for 536 00:31:33,600 --> 00:31:36,240 Speaker 1: exactly this, you know, And I think this is in 537 00:31:36,280 --> 00:31:40,760 Speaker 1: addition to thinking about police budgets and police presence, I 538 00:31:40,800 --> 00:31:42,320 Speaker 1: think we also need to be thinking about how do 539 00:31:42,360 --> 00:31:47,280 Speaker 1: we actually fund staff and increase the capacity of these 540 00:31:47,320 --> 00:31:50,520 Speaker 1: alternative systems to actually respond to issues in Los Angeles. 541 00:31:50,880 --> 00:31:53,040 Speaker 1: And that's to me, that's like the thing that we 542 00:31:53,040 --> 00:31:55,120 Speaker 1: we do need to be focusing on in a in 543 00:31:55,160 --> 00:31:57,720 Speaker 1: a very real sense, Like you know, getting back to 544 00:31:57,760 --> 00:32:00,440 Speaker 1: your first question or the introduction that you have, Jack, 545 00:32:00,600 --> 00:32:03,560 Speaker 1: is like, how do you how do you exist as 546 00:32:03,600 --> 00:32:06,880 Speaker 1: a progressive in this space? I think one of the 547 00:32:06,920 --> 00:32:09,360 Speaker 1: things that we need to be doing as a movement, 548 00:32:09,520 --> 00:32:13,479 Speaker 1: as a progressive movement, as a big tent progressive movement, 549 00:32:14,000 --> 00:32:16,120 Speaker 1: is to be talking about what we want to see, 550 00:32:16,600 --> 00:32:18,520 Speaker 1: not just what we don't want to see, and I 551 00:32:18,560 --> 00:32:21,640 Speaker 1: think being really clear and focused about what those goals 552 00:32:21,680 --> 00:32:24,800 Speaker 1: are and then going out there and fighting for those 553 00:32:24,800 --> 00:32:28,280 Speaker 1: things wherever they show up on council or supervisorial or 554 00:32:28,320 --> 00:32:31,760 Speaker 1: county agendas. You know, that that's a kind of work 555 00:32:31,840 --> 00:32:33,160 Speaker 1: that I think we need to be doing as a 556 00:32:33,200 --> 00:32:35,280 Speaker 1: movement in order to really move forward, because it's not 557 00:32:35,360 --> 00:32:38,880 Speaker 1: just about saying we don't want this. It's about building 558 00:32:38,880 --> 00:32:40,720 Speaker 1: the world that we want to see, right, what do 559 00:32:40,800 --> 00:32:43,640 Speaker 1: we replace it with? I heard you talk about like 560 00:32:44,360 --> 00:32:47,160 Speaker 1: seeing somebody I think they were in your district having 561 00:32:47,160 --> 00:32:50,080 Speaker 1: a mental health crisis, and but they weren't a danger 562 00:32:50,120 --> 00:32:54,920 Speaker 1: to themselves or other people, And so you tried to 563 00:32:55,000 --> 00:32:59,480 Speaker 1: navigate the process of, you know, like finding a solution, 564 00:32:59,560 --> 00:33:03,360 Speaker 1: finding nobody away, to call somebody who could come help. 565 00:33:03,480 --> 00:33:07,880 Speaker 1: That wasn't a police officer pointing a gun at that person. 566 00:33:08,240 --> 00:33:11,160 Speaker 1: And I couldn't find it. I couldn't find it. By 567 00:33:11,200 --> 00:33:13,880 Speaker 1: the way, so as you were, you were a city 568 00:33:13,880 --> 00:33:17,120 Speaker 1: council member, I'm a sitting city council person and I'm 569 00:33:17,160 --> 00:33:20,280 Speaker 1: I'm I'm watching a person have a crisis on the streets, 570 00:33:20,840 --> 00:33:22,680 Speaker 1: and I call the Department of Mental Health, which is 571 00:33:22,720 --> 00:33:25,719 Speaker 1: controlled by l A County. So mental health response in 572 00:33:25,880 --> 00:33:27,720 Speaker 1: l A is not controlled by the city, it's controlled 573 00:33:27,760 --> 00:33:31,480 Speaker 1: by the county. I called l A County and not 574 00:33:31,560 --> 00:33:34,360 Speaker 1: only did they not come, they never even called me back. 575 00:33:35,600 --> 00:33:38,240 Speaker 1: And the reason is because despite the fact that we 576 00:33:38,320 --> 00:33:42,080 Speaker 1: have an enormous homelessness crisis, despite the fact that some 577 00:33:42,280 --> 00:33:45,480 Speaker 1: although not all, certainly not all people who are experiencing 578 00:33:45,480 --> 00:33:49,640 Speaker 1: homelessness have mental health vulnerabilities, some of them do. And 579 00:33:49,680 --> 00:33:52,000 Speaker 1: the reality is that we need street based mental health 580 00:33:52,040 --> 00:33:54,960 Speaker 1: outreach and street based response to mental health issues. Right 581 00:33:55,360 --> 00:33:58,200 Speaker 1: And despite the reality of that that we've been grappling 582 00:33:58,200 --> 00:34:00,840 Speaker 1: with in Los Angeles for many, many years now, the 583 00:34:00,960 --> 00:34:04,560 Speaker 1: county has almost no mental health outreach teams that a 584 00:34:04,640 --> 00:34:08,279 Speaker 1: rapid response like this and has no capacity to respond 585 00:34:08,600 --> 00:34:11,160 Speaker 1: to calls for help in that way. And so for 586 00:34:11,200 --> 00:34:14,560 Speaker 1: the entirety of the San Fernando Valley, for example, that 587 00:34:14,880 --> 00:34:19,040 Speaker 1: enormous area, there is one mental health outreach team that 588 00:34:19,160 --> 00:34:22,760 Speaker 1: the Department of Mental Health funds. Yeah, part my English, 589 00:34:22,760 --> 00:34:26,239 Speaker 1: but yeah, it's that's bullshit, you know. Yeah, I think 590 00:34:26,280 --> 00:34:28,360 Speaker 1: you were saying that, Like when you talked to somebody, 591 00:34:28,360 --> 00:34:31,000 Speaker 1: they were like, we're still like dealing with yesterday's calls, 592 00:34:31,239 --> 00:34:34,560 Speaker 1: and it's like, that's that doesn't really it doesn't help me. 593 00:34:34,800 --> 00:34:36,920 Speaker 1: It doesn't help us at this moment. And so like 594 00:34:37,280 --> 00:34:39,400 Speaker 1: that and that, and you know, when I ran for office, 595 00:34:39,440 --> 00:34:41,920 Speaker 1: one of the things I really talked about was saying, 596 00:34:42,120 --> 00:34:44,320 Speaker 1: I want to have a system of responding to homelessness 597 00:34:44,320 --> 00:34:47,720 Speaker 1: in my district which tries really to move it into 598 00:34:47,800 --> 00:34:50,799 Speaker 1: the hands of trained professionals, Is there is there like 599 00:34:50,840 --> 00:34:53,400 Speaker 1: a tension right because we all know it's like we 600 00:34:53,440 --> 00:34:56,239 Speaker 1: don't need the cops to be responding, you know, and 601 00:34:56,280 --> 00:34:58,320 Speaker 1: they're like, you know, we'd love to not be responding 602 00:34:58,360 --> 00:35:01,480 Speaker 1: to this, but is there they say that is there? 603 00:35:01,640 --> 00:35:04,040 Speaker 1: I know, but they say that right, and then but 604 00:35:04,040 --> 00:35:06,520 Speaker 1: they're like, we need more money, but we need more 605 00:35:06,680 --> 00:35:08,840 Speaker 1: that like what's how do how does where does the 606 00:35:08,920 --> 00:35:11,680 Speaker 1: rubber meet the road? In trying to get the stakeholders 607 00:35:11,680 --> 00:35:13,759 Speaker 1: to understand it's like, because we talk all the time 608 00:35:13,760 --> 00:35:17,040 Speaker 1: as observers of just the news and looking at you know, 609 00:35:17,239 --> 00:35:20,960 Speaker 1: crime statistics or how crimes even reported like breathlessly by 610 00:35:21,000 --> 00:35:24,160 Speaker 1: the l A Times or fucking Los Angeles magazine, that 611 00:35:24,360 --> 00:35:29,279 Speaker 1: absurd publication, Like at what point are we able to 612 00:35:29,320 --> 00:35:31,600 Speaker 1: really get this message through? It's like you know that 613 00:35:31,640 --> 00:35:33,560 Speaker 1: we always talk about it's like if there if there 614 00:35:33,600 --> 00:35:35,920 Speaker 1: was a correlation between how much we spent in crime, 615 00:35:36,000 --> 00:35:39,719 Speaker 1: there should be negative crime, you know. Like so that's 616 00:35:39,719 --> 00:35:42,439 Speaker 1: what I'm curious to see how those conversations play out, 617 00:35:42,480 --> 00:35:44,759 Speaker 1: like because obviously you have a living entity as like 618 00:35:44,800 --> 00:35:47,120 Speaker 1: the police department, who's they're saying like, well, we need 619 00:35:47,160 --> 00:35:50,240 Speaker 1: this money and or do they look at giving away 620 00:35:50,280 --> 00:35:53,319 Speaker 1: some of this responsibility as making them more vulnerable to 621 00:35:53,440 --> 00:35:57,279 Speaker 1: like saying, well, then what do y'all do you know? 622 00:35:57,320 --> 00:35:59,960 Speaker 1: Like is I'm I'm curious to know how they're rationalized 623 00:36:00,200 --> 00:36:02,000 Speaker 1: or the debates that you hear when there are people 624 00:36:02,000 --> 00:36:04,160 Speaker 1: who advocate for this is why it needs to be 625 00:36:04,200 --> 00:36:05,440 Speaker 1: this way, This is why it needs to be this 626 00:36:05,480 --> 00:36:08,480 Speaker 1: way when you know logic or basic analysis would say like, 627 00:36:08,640 --> 00:36:10,640 Speaker 1: it seems like there's a myriad of other ways of 628 00:36:10,719 --> 00:36:13,359 Speaker 1: things we can try because we've been doing it this 629 00:36:13,400 --> 00:36:16,040 Speaker 1: way forever and results are the same. I mean, we 630 00:36:16,120 --> 00:36:18,319 Speaker 1: even heard Joe Biden and a speech be like we 631 00:36:18,320 --> 00:36:20,800 Speaker 1: don't need to defund the police, we need to extra 632 00:36:21,120 --> 00:36:24,640 Speaker 1: super duper fund the police because they because they do 633 00:36:25,000 --> 00:36:28,200 Speaker 1: because there are mental health counselors and like giving listing 634 00:36:28,200 --> 00:36:31,680 Speaker 1: all these things that they're bad at that they shouldn't do, 635 00:36:31,719 --> 00:36:35,080 Speaker 1: that they don't want to do. So it's like, yeah, 636 00:36:34,680 --> 00:36:37,399 Speaker 1: I don't know, Yeah, I mean I think for me, 637 00:36:37,560 --> 00:36:39,759 Speaker 1: like I'm always trying to think about this and how 638 00:36:39,880 --> 00:36:44,479 Speaker 1: you talk to constituents about building support for a better 639 00:36:44,520 --> 00:36:46,839 Speaker 1: way of doing things, a more logical way of doing things. 640 00:36:47,360 --> 00:36:49,640 Speaker 1: And I think one thing that I would say is 641 00:36:49,680 --> 00:36:53,600 Speaker 1: that I think often when you're talking to constituents, a 642 00:36:53,600 --> 00:36:56,960 Speaker 1: big complaint that you hear is, you know, I had 643 00:36:57,000 --> 00:36:59,760 Speaker 1: an incident of violent crime, or I witnessed an incident 644 00:36:59,800 --> 00:37:02,520 Speaker 1: of crime, or had something happened to me and the 645 00:37:02,560 --> 00:37:07,319 Speaker 1: police didn't come fast enough, you know. And so when 646 00:37:07,400 --> 00:37:09,719 Speaker 1: I hear that, I think one of the things that 647 00:37:09,719 --> 00:37:12,600 Speaker 1: that's a moment when you can say, Okay, look you 648 00:37:12,680 --> 00:37:16,279 Speaker 1: had armed violence happening. That may be a space where 649 00:37:16,360 --> 00:37:21,520 Speaker 1: armed police are appropriate responders, right, but for everything else, 650 00:37:21,960 --> 00:37:24,680 Speaker 1: we want to make sure that we are taking that 651 00:37:24,760 --> 00:37:27,560 Speaker 1: off of l A p d S plate. And I 652 00:37:27,600 --> 00:37:30,520 Speaker 1: think in that in that conversation and so that they 653 00:37:30,520 --> 00:37:34,640 Speaker 1: can respond more quickly to your instance of armed violence 654 00:37:34,640 --> 00:37:36,600 Speaker 1: where you didn't feel like you were supported or you 655 00:37:36,640 --> 00:37:39,279 Speaker 1: felt safe. And so that that's like for me in 656 00:37:39,360 --> 00:37:41,480 Speaker 1: terms of trying to think about building a case for 657 00:37:41,560 --> 00:37:47,200 Speaker 1: that better world. That's that's not just an argument that 658 00:37:47,239 --> 00:37:50,880 Speaker 1: I think has a lot of power. I think it's 659 00:37:50,160 --> 00:37:54,759 Speaker 1: it's it's something that I think instinctively people understand, you know. 660 00:37:55,320 --> 00:37:59,040 Speaker 1: I think we don't move forward as a city unless 661 00:37:59,080 --> 00:38:04,400 Speaker 1: we're able to really have conversations about safety and about 662 00:38:04,440 --> 00:38:09,160 Speaker 1: these issues. In ways that don't undermine people's fears. And 663 00:38:09,200 --> 00:38:11,319 Speaker 1: I said that before. I just think that that's like 664 00:38:11,360 --> 00:38:14,040 Speaker 1: an important way, a part of how we move forward 665 00:38:14,640 --> 00:38:18,560 Speaker 1: in building that new future, even if you know, you 666 00:38:18,600 --> 00:38:21,080 Speaker 1: may not think that those fears are legitimate or based 667 00:38:21,080 --> 00:38:24,680 Speaker 1: in the statistics, or I just feel like in order 668 00:38:24,719 --> 00:38:28,960 Speaker 1: to have a conversation that's really fruitful, I think we 669 00:38:29,040 --> 00:38:32,640 Speaker 1: all have to respect each other's kind of where you're 670 00:38:32,680 --> 00:38:35,600 Speaker 1: coming from. And I think we can make real progress, 671 00:38:35,719 --> 00:38:40,040 Speaker 1: real measurable progress on doing exactly those kinds of things 672 00:38:40,120 --> 00:38:43,440 Speaker 1: and taking armed police out of mental health crisis response, 673 00:38:43,520 --> 00:38:48,920 Speaker 1: on taking police out of you know, your everyday homelessness response, 674 00:38:49,520 --> 00:38:51,719 Speaker 1: and you're going to have real widespread support for that, 675 00:38:52,200 --> 00:38:55,719 Speaker 1: those changes that can transform people's lives. I mean, like, 676 00:38:55,800 --> 00:38:58,840 Speaker 1: let's just be clear that if we're talking about vulnerability 677 00:38:58,880 --> 00:39:01,400 Speaker 1: to police violence and that something that you care about, 678 00:39:02,560 --> 00:39:05,480 Speaker 1: making sure that police are not your first line of 679 00:39:05,480 --> 00:39:08,279 Speaker 1: response to calls about homelessness is really important because I think, 680 00:39:08,719 --> 00:39:10,920 Speaker 1: you know, last in the last count a third of 681 00:39:10,960 --> 00:39:15,040 Speaker 1: all victims of police violence were homeless in l A. 682 00:39:15,960 --> 00:39:18,880 Speaker 1: You know, so, how can we have how can we 683 00:39:18,920 --> 00:39:21,480 Speaker 1: make concrete progress on these issues? How do we do 684 00:39:21,520 --> 00:39:24,080 Speaker 1: that right, because you're not saying I gotta go to 685 00:39:24,200 --> 00:39:28,120 Speaker 1: the like sixty five year old lifelong Sherman Oaks resident 686 00:39:28,239 --> 00:39:30,680 Speaker 1: and be like, well, you know, these crime statistics are 687 00:39:30,719 --> 00:39:33,080 Speaker 1: blah blah blah, and like sort of do this kind 688 00:39:33,120 --> 00:39:35,080 Speaker 1: of you have to sort of meet them where they're at, 689 00:39:35,120 --> 00:39:37,200 Speaker 1: which is like, well, what do you You don't feel 690 00:39:37,280 --> 00:39:39,239 Speaker 1: safe because of X, Y and Z. Well, this is 691 00:39:39,280 --> 00:39:41,520 Speaker 1: actually how we solve it. Because I feel like this 692 00:39:42,320 --> 00:39:43,920 Speaker 1: l A is really are I think most cities are 693 00:39:43,920 --> 00:39:47,960 Speaker 1: at this place where people have either the really aggressive, 694 00:39:48,120 --> 00:39:50,680 Speaker 1: violent solution to a problem, and then there's a group 695 00:39:50,680 --> 00:39:54,120 Speaker 1: of people advocating for something that like acknowledges the people's 696 00:39:54,160 --> 00:39:57,120 Speaker 1: like someone's humanity as a solution to it. So like, 697 00:39:57,200 --> 00:40:00,439 Speaker 1: for example, like again in l A, there's so much 698 00:40:00,440 --> 00:40:03,640 Speaker 1: talk of like there's such a weaponization of the unhoused people, 699 00:40:03,640 --> 00:40:06,759 Speaker 1: like the unhoused community here for political points. I have 700 00:40:06,840 --> 00:40:10,480 Speaker 1: neighbors acquaintances around the city that seem to not be 701 00:40:10,640 --> 00:40:14,080 Speaker 1: interested in solving the issues that accelerate the growth of 702 00:40:14,120 --> 00:40:16,320 Speaker 1: the unhoused community, like they don't really care about it. 703 00:40:16,400 --> 00:40:19,040 Speaker 1: For like they don't understand, they don't understand stuff, like 704 00:40:19,080 --> 00:40:22,320 Speaker 1: they just see homelessness and they go, oh my god, 705 00:40:22,400 --> 00:40:24,560 Speaker 1: what are they fucking doing over there in city Hall? 706 00:40:24,600 --> 00:40:27,200 Speaker 1: And that ainematic ends, and there's like a really specific 707 00:40:27,239 --> 00:40:30,399 Speaker 1: type of Angelino right votes Democrat, hangs all the right 708 00:40:30,440 --> 00:40:32,759 Speaker 1: signs outside of their home, but when it comes to 709 00:40:32,800 --> 00:40:35,920 Speaker 1: talking about the un housed, their only idea to contribute 710 00:40:36,000 --> 00:40:39,080 Speaker 1: is some version of get rid of them, or I 711 00:40:39,120 --> 00:40:42,080 Speaker 1: don't want to see them, or they are dangerous. And 712 00:40:42,160 --> 00:40:44,560 Speaker 1: right now there's like this Crusoe supporter who's like going 713 00:40:44,600 --> 00:40:47,920 Speaker 1: around l a videotaping people that are living on like 714 00:40:48,000 --> 00:40:50,759 Speaker 1: on the street, and just like shaming them and narrating 715 00:40:50,800 --> 00:40:53,040 Speaker 1: to the camera this is why we need to vote 716 00:40:53,040 --> 00:40:55,920 Speaker 1: for Caruso. And the comments are like an intellectual war 717 00:40:56,040 --> 00:40:58,760 Speaker 1: zone like on these videos. But you know, I'm curious 718 00:40:58,800 --> 00:41:01,920 Speaker 1: for someone who's been advocating for trying to solve this 719 00:41:01,960 --> 00:41:04,839 Speaker 1: in a way that makes sense and isn't just will 720 00:41:04,880 --> 00:41:07,680 Speaker 1: ship them out somewhere or like just being more brutal 721 00:41:07,719 --> 00:41:09,879 Speaker 1: and say hey, you either take treatment or you live 722 00:41:09,920 --> 00:41:11,759 Speaker 1: on the streets again or whatever. You know, a lot 723 00:41:11,800 --> 00:41:14,040 Speaker 1: of people have all these really messed up mantras. I'm 724 00:41:14,040 --> 00:41:15,920 Speaker 1: curious if you've seen a shift in these kinds of 725 00:41:15,960 --> 00:41:19,360 Speaker 1: attitudes or what how do you even connect somebody who's 726 00:41:19,440 --> 00:41:22,720 Speaker 1: like seemingly being like I understand all these other problems, 727 00:41:22,760 --> 00:41:26,520 Speaker 1: but I just can't quite cross the intellectual rubicon into 728 00:41:26,560 --> 00:41:29,640 Speaker 1: seeing an unhoused person as a human being that is 729 00:41:29,920 --> 00:41:32,839 Speaker 1: unfortunate and is worthy of some kind of help, rather 730 00:41:32,880 --> 00:41:35,719 Speaker 1: than saying this is a nuisance, because it's either nuisance 731 00:41:35,800 --> 00:41:38,319 Speaker 1: or someone in need of help is helping see them. 732 00:41:38,360 --> 00:41:42,080 Speaker 1: And I think we can never abandon the base, you know, 733 00:41:42,280 --> 00:41:45,480 Speaker 1: I think my entire campaign, my entire time in office, 734 00:41:45,520 --> 00:41:49,000 Speaker 1: has been built around the idea that you if you 735 00:41:49,160 --> 00:41:53,799 Speaker 1: center on house people in your response to homelessness, and 736 00:41:53,840 --> 00:41:57,680 Speaker 1: if you center their dignity, that that we actually have. 737 00:41:58,880 --> 00:42:00,680 Speaker 1: You know that that for sst of all, that that 738 00:42:00,840 --> 00:42:04,040 Speaker 1: is that is a moral imperative, you know, no matter 739 00:42:04,120 --> 00:42:08,600 Speaker 1: what right is. That's just step one. But the but 740 00:42:08,719 --> 00:42:12,120 Speaker 1: the incredible thing is that if you do it that way, 741 00:42:12,200 --> 00:42:15,560 Speaker 1: if you respond to homelessness in that way, that you 742 00:42:15,600 --> 00:42:21,680 Speaker 1: actually address homelessness more effectively. Then you know, there's there's 743 00:42:21,719 --> 00:42:25,480 Speaker 1: there's two dances that we put and house people through 744 00:42:25,480 --> 00:42:28,759 Speaker 1: here in Los Angeles. One is a sidewalk shuffle where 745 00:42:28,800 --> 00:42:32,920 Speaker 1: you break tents on one sidewalk, people move across the street, 746 00:42:32,960 --> 00:42:36,000 Speaker 1: and then they move back, and then there's the there's 747 00:42:36,120 --> 00:42:39,520 Speaker 1: the movement from sidewalk to jail and back to the sidewalk, 748 00:42:40,360 --> 00:42:46,040 Speaker 1: and neither of these actually addresses homelessness, neither of them. 749 00:42:46,080 --> 00:42:48,600 Speaker 1: And if so, if you want a long term solution 750 00:42:49,320 --> 00:42:54,239 Speaker 1: to homelessness, if you want to see our way out 751 00:42:54,280 --> 00:42:57,160 Speaker 1: of this crisis, there's no way through it that doesn't 752 00:42:57,200 --> 00:42:59,400 Speaker 1: center the dignity of those people who are living on 753 00:42:59,440 --> 00:43:01,920 Speaker 1: the streets and ensuring that your response is tailored to 754 00:43:01,960 --> 00:43:06,120 Speaker 1: those individuals needs. And I think, I think one of 755 00:43:06,120 --> 00:43:09,799 Speaker 1: the challenges that that I feel like I pushed back 756 00:43:09,880 --> 00:43:13,920 Speaker 1: on and that I always have conversations with residents across 757 00:43:13,920 --> 00:43:16,960 Speaker 1: the district about is like I have no I believe 758 00:43:17,000 --> 00:43:20,200 Speaker 1: that homelessness is not a good thing for l A. 759 00:43:20,280 --> 00:43:23,040 Speaker 1: It's not. It's worse for the people who are experiencing homelessness, 760 00:43:23,040 --> 00:43:25,400 Speaker 1: but it's bad for our entire city. Like I want. 761 00:43:25,520 --> 00:43:28,920 Speaker 1: I'm here because I want to end homelessness, you know, 762 00:43:29,080 --> 00:43:32,359 Speaker 1: And I think just just making sure, like I think 763 00:43:32,600 --> 00:43:35,279 Speaker 1: that people understand that the goal of this work is 764 00:43:35,320 --> 00:43:38,560 Speaker 1: not too keep people on the street, but rather too 765 00:43:38,640 --> 00:43:41,680 Speaker 1: much more effectively help them navigate their way off the streets. 766 00:43:42,280 --> 00:43:45,160 Speaker 1: That alone is a game changer and having those conversations 767 00:43:45,360 --> 00:43:47,680 Speaker 1: because I do think there is a bogeyman there. You know, 768 00:43:47,880 --> 00:43:49,880 Speaker 1: am I saying that word right? Is it boogeyman or 769 00:43:49,880 --> 00:43:53,840 Speaker 1: boge I've always heard boogeyman, but bogeyman also adds like 770 00:43:53,920 --> 00:43:56,640 Speaker 1: a I think it's appropriate for like our top gun, 771 00:43:58,080 --> 00:44:01,319 Speaker 1: because is like the bad plane that's going to come 772 00:44:01,320 --> 00:44:03,879 Speaker 1: shoot you. I like mis pronounced words all the time, 773 00:44:04,120 --> 00:44:06,640 Speaker 1: and so I just realized as I was like, this 774 00:44:06,680 --> 00:44:09,960 Speaker 1: is the second time I'm musingly mis pronouncing it again. 775 00:44:11,400 --> 00:44:15,000 Speaker 1: But yeah, but like to me, it's really just there 776 00:44:15,160 --> 00:44:20,160 Speaker 1: is this, I think persistent feeling that if you are 777 00:44:20,160 --> 00:44:25,279 Speaker 1: fighting back against the sidewalk shuffle or the jail to 778 00:44:25,719 --> 00:44:30,680 Speaker 1: streets circle, that what you're actually advocating for is for 779 00:44:30,680 --> 00:44:32,640 Speaker 1: people to remain on the streets, And in fact, it's 780 00:44:32,680 --> 00:44:36,799 Speaker 1: exactly the opposite. It's exactly the opposite. I mean, you've 781 00:44:36,800 --> 00:44:41,120 Speaker 1: talked about structural kind of problems with with regards to 782 00:44:41,480 --> 00:44:46,000 Speaker 1: addressing homelessness that I feel like they then trickled down 783 00:44:46,080 --> 00:44:50,760 Speaker 1: to the like individual level, like with the sidewalk shuffle 784 00:44:51,360 --> 00:44:55,080 Speaker 1: district by district there when you entered office, there was 785 00:44:55,160 --> 00:45:00,399 Speaker 1: not there still isn't. There isn't was okay, So each 786 00:45:00,440 --> 00:45:04,879 Speaker 1: district is responsible for addressing homelessness within their district, which 787 00:45:04,960 --> 00:45:07,840 Speaker 1: leads to makes it very easy for your answer to 788 00:45:07,920 --> 00:45:10,880 Speaker 1: be moved them to a different district, right, yes, exactly 789 00:45:10,920 --> 00:45:16,200 Speaker 1: so and and and the incoherence of this is mind boggling. 790 00:45:16,880 --> 00:45:20,279 Speaker 1: So is that something like how how are I guess 791 00:45:20,320 --> 00:45:23,600 Speaker 1: i'd I'd love to shift too. Things that you are 792 00:45:24,000 --> 00:45:27,760 Speaker 1: seeing work and things that are giving you hope for 793 00:45:27,920 --> 00:45:31,359 Speaker 1: like addressing this as you're coming up on like the 794 00:45:31,360 --> 00:45:34,760 Speaker 1: two year mark, like what what what are you seeing work? 795 00:45:34,800 --> 00:45:39,120 Speaker 1: And actually gain traction? Well a lot of that change 796 00:45:39,239 --> 00:45:43,439 Speaker 1: this last week, right you know, Yeah, I mean, let's 797 00:45:43,520 --> 00:45:45,440 Speaker 1: let's talk about this last week and just like what 798 00:45:45,520 --> 00:45:47,600 Speaker 1: it was like from your perspective, because I mean they 799 00:45:47,640 --> 00:45:51,600 Speaker 1: were they were talking about redistricting you on in that 800 00:45:51,719 --> 00:45:57,440 Speaker 1: meeting where they were also just using cartoonish you know, 801 00:45:57,560 --> 00:46:01,200 Speaker 1: movie villain anti black racism in a way that seemed 802 00:46:01,239 --> 00:46:06,560 Speaker 1: like it was just the the accepted culture, like I mean, 803 00:46:06,600 --> 00:46:11,640 Speaker 1: abhorrent language and and and homophobic tropes. You know, over 804 00:46:11,680 --> 00:46:14,080 Speaker 1: and over again of the use of homophobic tropes. It 805 00:46:14,120 --> 00:46:17,359 Speaker 1: was so upsetting the use of anti black language. By 806 00:46:17,360 --> 00:46:20,920 Speaker 1: the way. Also, you know they they made fun of 807 00:46:21,120 --> 00:46:25,400 Speaker 1: w Hawkins in Koreatown, so it's also anti indigenous, anti 808 00:46:25,440 --> 00:46:31,160 Speaker 1: indigenous language. Yeah, so you know, it was abhorrent. It 809 00:46:31,239 --> 00:46:38,400 Speaker 1: was an abhorrant conversation. And you know, I think my obviously, 810 00:46:38,440 --> 00:46:43,319 Speaker 1: my first instinct and response was to just the level 811 00:46:43,320 --> 00:46:46,480 Speaker 1: of outrage that I felt on behalf of my my 812 00:46:46,600 --> 00:46:50,600 Speaker 1: colleague Mike Bond and son and his family, you know, 813 00:46:50,719 --> 00:46:55,320 Speaker 1: Mike and his husband Sean, and it knew no bounds. 814 00:46:55,960 --> 00:46:59,719 Speaker 1: And I think just and I was heartened to see 815 00:46:59,800 --> 00:47:03,400 Speaker 1: that so many people showed up in whatever way, online, 816 00:47:04,160 --> 00:47:08,640 Speaker 1: in person, via emails, via phone calls, just to say like, 817 00:47:09,080 --> 00:47:12,600 Speaker 1: we reject this so wholeheartedly, like this is so not 818 00:47:12,760 --> 00:47:15,319 Speaker 1: Los Angeles, you know. So I think that I just 819 00:47:15,360 --> 00:47:18,640 Speaker 1: want to say that it was really like moving to 820 00:47:18,719 --> 00:47:22,320 Speaker 1: be witnessed to that, and yeah, that that that's important 821 00:47:22,360 --> 00:47:25,440 Speaker 1: to note. But this, you know, I think obviously I'm 822 00:47:25,440 --> 00:47:28,680 Speaker 1: still grappling with it, grappling with the implications of what happened, 823 00:47:29,200 --> 00:47:30,920 Speaker 1: and a couple of things I wanted to share, as 824 00:47:31,000 --> 00:47:33,320 Speaker 1: you know, as you think about what we've been discussing 825 00:47:33,320 --> 00:47:38,239 Speaker 1: in council for the past year, and I don't I 826 00:47:38,280 --> 00:47:40,799 Speaker 1: don't mean I meant think, I meant month twenty or 827 00:47:40,800 --> 00:47:43,280 Speaker 1: twenty one. Right now, I can't remember on the council 828 00:47:44,160 --> 00:47:48,520 Speaker 1: and the priorities that we've been discussing on. So, you know, 829 00:47:48,600 --> 00:47:51,640 Speaker 1: Kevin de Leon shared the Homelessness and Poverty Committee. Gil 830 00:47:51,719 --> 00:47:55,439 Speaker 1: Sadio chaired the Housing Committee, which also encompasses renter protections. 831 00:47:56,080 --> 00:47:59,239 Speaker 1: That's where we discuss, you know, keeping people housed, you know. 832 00:48:00,080 --> 00:48:02,799 Speaker 1: And then Marie Martinez was the council president, which means 833 00:48:02,800 --> 00:48:04,680 Speaker 1: she's set the agenda for what we discussed in the 834 00:48:04,719 --> 00:48:08,040 Speaker 1: full council. And I think about some of the discussions 835 00:48:08,120 --> 00:48:10,000 Speaker 1: that have occupied us and that have been some of 836 00:48:10,040 --> 00:48:14,600 Speaker 1: the most conflict ridden over the past almost two years. 837 00:48:15,320 --> 00:48:19,000 Speaker 1: And I think about our focus on enforcement as a 838 00:48:19,040 --> 00:48:22,040 Speaker 1: response to homelessness, and our constant discussions on how we 839 00:48:22,080 --> 00:48:26,399 Speaker 1: expand the scope of enforcement with regards to homelessness, and 840 00:48:26,440 --> 00:48:30,520 Speaker 1: that occupied so much of our time on council, And 841 00:48:30,560 --> 00:48:33,920 Speaker 1: I think about what what those discussions would have looked like, 842 00:48:34,800 --> 00:48:37,760 Speaker 1: or what those priorities would have been, had the people 843 00:48:38,080 --> 00:48:45,120 Speaker 1: setting the agendas not expose themselves as racists. How would 844 00:48:45,120 --> 00:48:47,879 Speaker 1: that How would our agenda and homelessness and poverty look 845 00:48:47,960 --> 00:48:50,879 Speaker 1: like if it was being set by people who had 846 00:48:52,600 --> 00:48:54,759 Speaker 1: who had the best interests of every single person in 847 00:48:54,800 --> 00:48:57,880 Speaker 1: Los Angeles at heart, you know, and I think I 848 00:48:57,920 --> 00:48:59,520 Speaker 1: do think it would look different. I think for me, 849 00:48:59,560 --> 00:49:02,440 Speaker 1: I've nified over and over again that a key part 850 00:49:02,480 --> 00:49:04,800 Speaker 1: of why we're not able to address our homelessness crisis 851 00:49:04,880 --> 00:49:08,200 Speaker 1: is housing. We simply do not have the shelter beds 852 00:49:08,239 --> 00:49:11,719 Speaker 1: or the housing units to house all of our homeless people. Here. 853 00:49:12,120 --> 00:49:14,200 Speaker 1: We don't have a we don't have a system that's 854 00:49:14,200 --> 00:49:16,520 Speaker 1: designed to do that. New York City has more homeless 855 00:49:16,520 --> 00:49:19,920 Speaker 1: people than l A County, but way fewer people on 856 00:49:19,960 --> 00:49:21,800 Speaker 1: the streets. They have, you know, only like two thousand 857 00:49:21,840 --> 00:49:23,400 Speaker 1: people who are on the streets. And the reason is 858 00:49:23,440 --> 00:49:26,239 Speaker 1: because they have a court case that mandates that they 859 00:49:26,320 --> 00:49:28,839 Speaker 1: create the number of shelter beds that they need for 860 00:49:28,920 --> 00:49:32,200 Speaker 1: every single person who is experiencing homelessness in that city. 861 00:49:32,360 --> 00:49:34,239 Speaker 1: And so they've had to do that and they've just 862 00:49:34,320 --> 00:49:38,080 Speaker 1: done it, and here in l A we've never done it. 863 00:49:38,120 --> 00:49:40,879 Speaker 1: We don't even have even right now, despite the fact 864 00:49:40,920 --> 00:49:43,280 Speaker 1: that we've made more investments in shelter and in housing 865 00:49:43,320 --> 00:49:44,920 Speaker 1: over the past few years than we ever have in 866 00:49:44,960 --> 00:49:47,920 Speaker 1: Los Angeles city history or county history for that matter. 867 00:49:48,719 --> 00:49:54,279 Speaker 1: We still don't have enough units, beds, whatever to house 868 00:49:54,320 --> 00:49:58,560 Speaker 1: our entire homeless population. Houston, which has reduced its homeless 869 00:49:58,560 --> 00:50:01,880 Speaker 1: population by an a star wishing, I think over the 870 00:50:01,920 --> 00:50:05,160 Speaker 1: last few years, has three times the number of housing 871 00:50:05,200 --> 00:50:09,520 Speaker 1: units that they have and house residents. So you see 872 00:50:09,840 --> 00:50:12,560 Speaker 1: the difference that we have in our response, and you think, oh, 873 00:50:12,560 --> 00:50:16,239 Speaker 1: why weren't we talking about this the entirety of the 874 00:50:16,239 --> 00:50:18,719 Speaker 1: time that I've been here instead of the other thing, 875 00:50:18,719 --> 00:50:22,160 Speaker 1: which is telling people where they can or can't camp, right, right, 876 00:50:22,160 --> 00:50:26,719 Speaker 1: because ultimately enforcement, like you know that that helps the 877 00:50:26,840 --> 00:50:29,399 Speaker 1: police stay busy. That also helps people who might be 878 00:50:30,040 --> 00:50:33,560 Speaker 1: you know, maybe averse to building affordable housing or getting 879 00:50:33,600 --> 00:50:35,680 Speaker 1: behind that too. That I'm sure they're like, well, let's 880 00:50:35,800 --> 00:50:38,520 Speaker 1: I'm into enforcement, because I'm I'm sure there's also plenty 881 00:50:38,520 --> 00:50:40,640 Speaker 1: I mean, I know there's plenty of nambiism going on 882 00:50:40,719 --> 00:50:43,000 Speaker 1: to or people are like, well, there's no way I 883 00:50:43,040 --> 00:50:47,440 Speaker 1: can live, but you know with these people in my community. 884 00:50:47,440 --> 00:50:50,919 Speaker 1: But you're so your solution is just to kick them 885 00:50:50,920 --> 00:50:53,080 Speaker 1: out rather than to say well, there is a way 886 00:50:53,080 --> 00:50:55,399 Speaker 1: for them to actually move out of you know, being 887 00:50:55,480 --> 00:50:58,960 Speaker 1: unhoused and potentially to be able to have a job 888 00:50:59,120 --> 00:51:01,319 Speaker 1: or not be living on the street. Does that seem 889 00:51:01,360 --> 00:51:02,719 Speaker 1: like a good option, But it seems like a lot 890 00:51:02,760 --> 00:51:05,759 Speaker 1: of people just immediately see also help is being like, well, 891 00:51:05,800 --> 00:51:09,120 Speaker 1: that's gonna mess up my property values, And I just yeah, 892 00:51:09,200 --> 00:51:11,279 Speaker 1: I just want to say one thing, Miles, which is 893 00:51:11,320 --> 00:51:15,200 Speaker 1: that I have a I actually think Los Angeles is 894 00:51:15,200 --> 00:51:18,160 Speaker 1: better than what we heard on those recordings, for sure, 895 00:51:18,520 --> 00:51:22,080 Speaker 1: you know, um, And I think you're right that there 896 00:51:22,200 --> 00:51:26,759 Speaker 1: is nimby pushback on specific homeless housing units. But I 897 00:51:26,800 --> 00:51:28,560 Speaker 1: actually think if you look at the history of our 898 00:51:28,680 --> 00:51:33,520 Speaker 1: votes on resources for homelessness, on on making sure that 899 00:51:33,560 --> 00:51:36,880 Speaker 1: people have what they need in terms of addressing the 900 00:51:36,960 --> 00:51:39,359 Speaker 1: lack of shelter beds, are housing, like we vote for 901 00:51:39,440 --> 00:51:43,319 Speaker 1: it in droves, we vote for it overwhelmingly. Like Los 902 00:51:43,360 --> 00:51:47,359 Speaker 1: Angeles is a city that gets behind housing and resources 903 00:51:47,400 --> 00:51:51,520 Speaker 1: for for homelessness, And I don't want to let the 904 00:51:51,560 --> 00:51:54,040 Speaker 1: actions of these three people take that away from us, 905 00:51:54,080 --> 00:51:57,360 Speaker 1: like we were This is a you know, I really 906 00:51:57,400 --> 00:52:00,680 Speaker 1: believe in the city, and I think that they were 907 00:52:00,719 --> 00:52:04,160 Speaker 1: misguided in thinking that the agenda of the city needed 908 00:52:04,200 --> 00:52:06,920 Speaker 1: to be focused on these issues, and I don't think 909 00:52:06,960 --> 00:52:09,160 Speaker 1: that's the will of the people. I feel, you know 910 00:52:09,239 --> 00:52:12,799 Speaker 1: that as we have a mayor race with a real 911 00:52:12,960 --> 00:52:16,040 Speaker 1: estate billionaire, that's you know, coming down to the wire. 912 00:52:17,040 --> 00:52:19,919 Speaker 1: It feels like I I just keep being struck by 913 00:52:20,320 --> 00:52:23,239 Speaker 1: real estate, the real estate industry's role in this, and 914 00:52:23,360 --> 00:52:28,600 Speaker 1: just it feels like real estate is so such a 915 00:52:28,680 --> 00:52:31,439 Speaker 1: powerful force in l A. And and the real estate 916 00:52:31,520 --> 00:52:36,600 Speaker 1: answer has always been, you know, just anywhere but here, 917 00:52:36,920 --> 00:52:40,400 Speaker 1: like use the police to take the problem the crime 918 00:52:40,719 --> 00:52:45,799 Speaker 1: the unhoused person anywhere but here, Like is is that 919 00:52:45,920 --> 00:52:49,800 Speaker 1: something you see like on the ground, like in these 920 00:52:49,880 --> 00:52:54,520 Speaker 1: meetings like that that you're on, Like do you do 921 00:52:54,560 --> 00:52:57,279 Speaker 1: you see like those forces at play or is it 922 00:52:57,360 --> 00:53:02,560 Speaker 1: like more kind of cellular down to the DNA level 923 00:53:02,640 --> 00:53:05,279 Speaker 1: than that, or how do how do you think about that, 924 00:53:05,719 --> 00:53:09,040 Speaker 1: like the relationship between the real estate industry here and 925 00:53:09,080 --> 00:53:12,520 Speaker 1: how we respond to homelessness and affordable housing and everything, 926 00:53:12,520 --> 00:53:15,200 Speaker 1: because it's yeah, so you know, I'm so I'm an 927 00:53:15,280 --> 00:53:17,600 Speaker 1: urban planner by training, and I've looked at the history 928 00:53:17,600 --> 00:53:20,440 Speaker 1: of affordable housing construction in America for a long time, 929 00:53:21,320 --> 00:53:24,400 Speaker 1: and I will say that we've built more affordable housing 930 00:53:24,400 --> 00:53:27,080 Speaker 1: here in Los Angeles over the last few years because 931 00:53:27,120 --> 00:53:32,080 Speaker 1: of things called basically density bonus programs. Right, So, the 932 00:53:32,120 --> 00:53:35,560 Speaker 1: way that it's been happening is that you basically provide 933 00:53:36,200 --> 00:53:39,160 Speaker 1: private real estate developers the capacity to build a little 934 00:53:39,160 --> 00:53:43,439 Speaker 1: bit higher if they add affordable units to their existing constructions. 935 00:53:44,400 --> 00:53:46,960 Speaker 1: And as a city right now, again I'm just operating 936 00:53:46,960 --> 00:53:50,160 Speaker 1: within our existing contests. I don't context. I don't have 937 00:53:50,280 --> 00:53:53,320 Speaker 1: the capacity to fund a huge amount of public housing. 938 00:53:53,400 --> 00:53:56,080 Speaker 1: In fact, I have almost no money for affordable housing, 939 00:53:56,400 --> 00:54:00,480 Speaker 1: and so these density bonus rules are really the only 940 00:54:00,520 --> 00:54:03,920 Speaker 1: way that we're creating any kind of affordable housing stock 941 00:54:04,239 --> 00:54:06,640 Speaker 1: here in l A. And that's that's the reality of 942 00:54:06,680 --> 00:54:09,560 Speaker 1: the context that we are in right now. I think 943 00:54:09,560 --> 00:54:12,479 Speaker 1: if the president or at the federal level they made 944 00:54:12,560 --> 00:54:15,600 Speaker 1: changes so that they were really funding a public housing 945 00:54:15,600 --> 00:54:19,080 Speaker 1: program the way that they did in the last century, 946 00:54:19,160 --> 00:54:22,240 Speaker 1: I think that we could make real progress on building 947 00:54:22,239 --> 00:54:25,279 Speaker 1: more affordable units here in Los Angeles without having to 948 00:54:25,360 --> 00:54:28,200 Speaker 1: rely on the private real estate sector. But we're not 949 00:54:28,239 --> 00:54:32,759 Speaker 1: in that context right now, right and so you know, 950 00:54:32,800 --> 00:54:35,799 Speaker 1: I think for me, the role of the private real 951 00:54:35,920 --> 00:54:39,080 Speaker 1: estate industry is a very complicated one. I think there's 952 00:54:39,360 --> 00:54:44,480 Speaker 1: there There are people who are very focused on policing 953 00:54:44,520 --> 00:54:46,879 Speaker 1: as a response to homelessness, but I think there's also 954 00:54:46,920 --> 00:54:52,080 Speaker 1: a lot of nonprofit developers, you know, even even some 955 00:54:52,200 --> 00:54:56,000 Speaker 1: for profit developers who are trying to provide Section eight 956 00:54:56,080 --> 00:54:58,799 Speaker 1: units who are saying we want to partner with the 957 00:54:58,840 --> 00:55:02,000 Speaker 1: city and being a better in doing better and responding 958 00:55:02,000 --> 00:55:04,399 Speaker 1: better to this issue. And I think what we need 959 00:55:04,440 --> 00:55:08,239 Speaker 1: to be setting up is a system where where we 960 00:55:08,280 --> 00:55:11,440 Speaker 1: don't have the private real estate sector either bribing their 961 00:55:11,480 --> 00:55:14,680 Speaker 1: way through city politics, which is what happens all the time, 962 00:55:15,400 --> 00:55:18,720 Speaker 1: or having outsized influence on decision making in the city. 963 00:55:18,760 --> 00:55:21,720 Speaker 1: And I think those things can be achieved through smart 964 00:55:21,800 --> 00:55:26,640 Speaker 1: interventions in campaign finance reform and in in in in 965 00:55:26,680 --> 00:55:30,799 Speaker 1: really changing how we organize our Ethics Commission and our 966 00:55:30,920 --> 00:55:34,640 Speaker 1: rules on lobbyists taking part in in these public conversations. 967 00:55:35,400 --> 00:55:39,560 Speaker 1: And you know, I think that that's how we that's 968 00:55:39,560 --> 00:55:43,040 Speaker 1: how we minimize the role of any profit seeking industry 969 00:55:43,440 --> 00:55:49,080 Speaker 1: on how we decide our priorities from the city. Right, Yeah, Well, 970 00:55:49,880 --> 00:55:53,120 Speaker 1: your job sounds hard. Yeah, I feel I feel like 971 00:55:53,160 --> 00:55:58,120 Speaker 1: I talked way too much, Like but this is kind 972 00:55:58,120 --> 00:56:01,440 Speaker 1: of what we're always talking or out on this show 973 00:56:01,560 --> 00:56:06,920 Speaker 1: as we're you know, talking about like observing and making 974 00:56:07,320 --> 00:56:11,800 Speaker 1: strange human body based metaphors about what's wrong with America. 975 00:56:12,840 --> 00:56:19,319 Speaker 1: You know, is like it's very very interesting and you know, 976 00:56:19,680 --> 00:56:24,000 Speaker 1: complicated and just good too good to hear from you now, 977 00:56:24,400 --> 00:56:28,520 Speaker 1: you know, twenty one months into the job and here 978 00:56:28,640 --> 00:56:32,759 Speaker 1: here the challenges and the where where you feel like 979 00:56:33,400 --> 00:56:36,680 Speaker 1: you can you can improve and just what it is 980 00:56:36,880 --> 00:56:40,000 Speaker 1: what it's like in there. So I appreciate you taking 981 00:56:40,040 --> 00:56:43,480 Speaker 1: the time. Yeah, and I for me like again and 982 00:56:43,600 --> 00:56:46,120 Speaker 1: thinking through that initial question that you brought up around 983 00:56:46,160 --> 00:56:49,440 Speaker 1: progressive power and what it means to be a progressive 984 00:56:49,440 --> 00:56:52,440 Speaker 1: in America. One thing I really want to think about 985 00:56:52,520 --> 00:56:55,799 Speaker 1: and talk about as we move forward is what does 986 00:56:55,840 --> 00:56:58,319 Speaker 1: that look like in terms of material change for the 987 00:56:58,360 --> 00:57:01,520 Speaker 1: people of my district and the people of Los Angeles, 988 00:57:02,160 --> 00:57:05,040 Speaker 1: And how do we design a policy agenda that gets 989 00:57:05,120 --> 00:57:07,960 Speaker 1: us there, you know, And that's that's what That's the 990 00:57:08,000 --> 00:57:10,000 Speaker 1: conversation I want to be having with people who care 991 00:57:10,040 --> 00:57:12,719 Speaker 1: about these issues going forward. I want to be having 992 00:57:12,760 --> 00:57:16,080 Speaker 1: that with you in your audience and with the public 993 00:57:16,120 --> 00:57:19,440 Speaker 1: and with constituents who care deeply about this. And the 994 00:57:19,680 --> 00:57:22,120 Speaker 1: exciting thing for me in some ways, you know, this 995 00:57:22,160 --> 00:57:24,040 Speaker 1: has been a very hard times, been a very hard 996 00:57:24,720 --> 00:57:29,160 Speaker 1: you know, weak and change. But I also think that 997 00:57:29,240 --> 00:57:32,200 Speaker 1: we can build that those material changes, like we can 998 00:57:32,240 --> 00:57:34,680 Speaker 1: have those happen for people in l A. So I 999 00:57:34,720 --> 00:57:37,400 Speaker 1: feel really excited about what these next steps are going 1000 00:57:37,440 --> 00:57:40,560 Speaker 1: to be and how we coalesce around that shared agenda 1001 00:57:40,600 --> 00:57:43,280 Speaker 1: and really use our power at every moment of decision 1002 00:57:43,280 --> 00:57:47,160 Speaker 1: making here in the city to push for that change. 1003 00:57:47,160 --> 00:57:50,000 Speaker 1: For Ugo, let's get let's get more progressives on the 1004 00:57:50,000 --> 00:57:53,040 Speaker 1: city council and for sure, but did he leak the 1005 00:57:53,080 --> 00:57:58,840 Speaker 1: tapes to Los Angeles Magazine? Is that what they said? Oh? Yeah, 1006 00:57:59,640 --> 00:58:03,440 Speaker 1: d like front and center. That's why like this city again, 1007 00:58:03,480 --> 00:58:08,120 Speaker 1: That's what I'm like, ludicrous, ludicrous conspiracy here. I'd hate, 1008 00:58:08,720 --> 00:58:11,160 Speaker 1: I'd hate to be a politician in l A. Because 1009 00:58:11,200 --> 00:58:15,360 Speaker 1: there's just so there's just so much, so many ways 1010 00:58:15,680 --> 00:58:19,400 Speaker 1: for for people to try and derail like a legitimate 1011 00:58:19,720 --> 00:58:22,760 Speaker 1: push towards something that's constructive and even like the same 1012 00:58:22,760 --> 00:58:26,600 Speaker 1: way they're trying to even undermine, like the coalition. They're like, Oh, 1013 00:58:26,640 --> 00:58:29,840 Speaker 1: black and Latino, the alliance between Blacks and Latinos have 1014 00:58:29,920 --> 00:58:32,800 Speaker 1: already been fraught until now, and It's like ask anybody 1015 00:58:32,800 --> 00:58:35,520 Speaker 1: who's actually in the streets or any activists like there, 1016 00:58:35,560 --> 00:58:37,600 Speaker 1: people know what time it is, like you you have 1017 00:58:37,680 --> 00:58:39,360 Speaker 1: to be arm in arm with each other. That's the 1018 00:58:39,440 --> 00:58:41,720 Speaker 1: only way things are are moving. But it's interesting to 1019 00:58:41,720 --> 00:58:44,520 Speaker 1: see how even with this controversy too, there's a lot 1020 00:58:44,560 --> 00:58:47,080 Speaker 1: of like you know, fuel being thrown on the fire 1021 00:58:47,120 --> 00:58:49,000 Speaker 1: to try and make, you know, make it seem like 1022 00:58:49,040 --> 00:58:52,240 Speaker 1: something else. I also just want to say that I 1023 00:58:52,280 --> 00:58:58,120 Speaker 1: think the system is really gross and awful, but Angelino's 1024 00:58:59,520 --> 00:59:04,720 Speaker 1: that's that's that was okay by everyone. Actually, we did 1025 00:59:04,760 --> 00:59:06,520 Speaker 1: forget to take our second break, so let's take a 1026 00:59:06,600 --> 00:59:08,480 Speaker 1: quick break and then we'll come back and say our 1027 00:59:08,520 --> 00:59:22,520 Speaker 1: official goodbyes and we're back. And you you were just 1028 00:59:22,560 --> 00:59:24,880 Speaker 1: saying that the systems gross, and that's all you have 1029 00:59:24,920 --> 00:59:30,360 Speaker 1: to say on that the systems gross. But I also 1030 00:59:31,040 --> 00:59:34,520 Speaker 1: I think that Angelinos are amazing. And you're absolutely right 1031 00:59:34,640 --> 00:59:39,240 Speaker 1: that people on the street they don't they absolutely don't 1032 00:59:39,240 --> 00:59:42,800 Speaker 1: agree with what that vision of you know, of a 1033 00:59:43,560 --> 00:59:48,320 Speaker 1: contentious fight between black, black Angelinos and Latino like, it 1034 00:59:48,400 --> 00:59:50,720 Speaker 1: just doesn't That's not how they read the world, that's 1035 00:59:50,720 --> 00:59:53,200 Speaker 1: not how they paid the city around them. And right 1036 00:59:53,280 --> 00:59:55,600 Speaker 1: and it's clear that at that level for the nurse 1037 00:59:55,680 --> 00:59:58,600 Speaker 1: and Gills and Kevin's of the world, that what that's 1038 00:59:58,640 --> 01:00:01,360 Speaker 1: their world view of how power works. And there's clearly 1039 01:00:01,400 --> 01:00:05,600 Speaker 1: another version where people look at the ongoing issues and say, well, 1040 01:00:05,960 --> 01:00:09,200 Speaker 1: these aren't actually the solutions to these and working to them, 1041 01:00:09,240 --> 01:00:12,600 Speaker 1: like working with each other sincerely, is actually how we're 1042 01:00:12,640 --> 01:00:16,160 Speaker 1: going to get some like material changes you're saying, and 1043 01:00:16,200 --> 01:00:19,840 Speaker 1: that's the only way. But yeah, yes, exactly. Yeah, it's 1044 01:00:19,920 --> 01:00:23,040 Speaker 1: a really troubled time, but you can see that there's 1045 01:00:23,080 --> 01:00:25,120 Speaker 1: a lot of possibility on the other side. And I 1046 01:00:25,160 --> 01:00:28,120 Speaker 1: think that's at least the part I lean into without 1047 01:00:28,120 --> 01:00:32,280 Speaker 1: becoming fully nihilistic about being a lifelong Angelino. Yeah, well, 1048 01:00:32,280 --> 01:00:36,760 Speaker 1: where can people find you? Follow you all that good stuff? Uh, yeah, 1049 01:00:36,840 --> 01:00:39,960 Speaker 1: you can follow the Council Office. You just look up 1050 01:00:40,000 --> 01:00:42,440 Speaker 1: c D four Los Angeles on any of your social 1051 01:00:42,440 --> 01:00:45,640 Speaker 1: media platforms. I do some of my policy thinking on 1052 01:00:45,720 --> 01:00:49,160 Speaker 1: my personal stuff, so I'm usually at you can just 1053 01:00:49,200 --> 01:00:51,120 Speaker 1: look me up at THEA for the city or Nitia 1054 01:00:51,160 --> 01:00:54,840 Speaker 1: v Raman on Twitter and Instagram. Um. And I also 1055 01:00:54,920 --> 01:00:58,240 Speaker 1: wanted to plug the United to how's l a ballot 1056 01:00:58,240 --> 01:01:02,040 Speaker 1: measure which is amazing and it can actually give us 1057 01:01:02,080 --> 01:01:06,080 Speaker 1: the money to build exactly the kind of affordable housing 1058 01:01:06,080 --> 01:01:08,480 Speaker 1: and homeless solutions that we need to to get us 1059 01:01:08,480 --> 01:01:12,080 Speaker 1: out of this moment of crisis. And that's I'm gonna 1060 01:01:12,200 --> 01:01:14,600 Speaker 1: that's going to be on your ballot. You should already 1061 01:01:14,640 --> 01:01:16,080 Speaker 1: have your ballots at home if you live in the 1062 01:01:16,200 --> 01:01:22,960 Speaker 1: l A. And it's taxes real estate sales over some 1063 01:01:23,200 --> 01:01:25,640 Speaker 1: number of million dollars. I mean, it's not going to 1064 01:01:25,760 --> 01:01:30,680 Speaker 1: impact ordinary people, and it's going to generate a lot 1065 01:01:30,760 --> 01:01:33,480 Speaker 1: of money for for all the good stuff that we 1066 01:01:33,520 --> 01:01:36,160 Speaker 1: need to be building, the concrete stuff that we need 1067 01:01:36,200 --> 01:01:39,400 Speaker 1: to be building. So United's how's l a boat? Yes, 1068 01:01:39,920 --> 01:01:42,160 Speaker 1: there you go. And is there a tweet or some 1069 01:01:42,240 --> 01:01:47,320 Speaker 1: of the work of social media you've been enjoying? Oh gosh, 1070 01:01:48,000 --> 01:01:52,200 Speaker 1: we're a show. I mean, you know some other work 1071 01:01:52,280 --> 01:01:58,760 Speaker 1: of social media that I've been enjoying. Social is your currency? 1072 01:01:58,800 --> 01:02:02,760 Speaker 1: What are you enjoying? Oh? Allow us to tell you 1073 01:02:02,800 --> 01:02:08,600 Speaker 1: that from you? I need enjoyed that. Well, I will look. 1074 01:02:08,760 --> 01:02:10,760 Speaker 1: You can find me at Miles of Gray on Twitter 1075 01:02:10,760 --> 01:02:13,680 Speaker 1: and Instagram. Also checked Jack and I out on Miles 1076 01:02:13,680 --> 01:02:17,320 Speaker 1: and Jack Got Mad Basketball for our podcast and also 1077 01:02:17,360 --> 01:02:20,480 Speaker 1: if you like y fiance checked me and Sophia Alexandrow 1078 01:02:20,800 --> 01:02:24,520 Speaker 1: on Four Day Fiance. The Predictions episode this this week 1079 01:02:24,600 --> 01:02:29,000 Speaker 1: because the season is beginning. Yes, yes, wait for some 1080 01:02:29,120 --> 01:02:33,880 Speaker 1: real off base predictions. Must Some tweets that I like, 1081 01:02:34,120 --> 01:02:36,760 Speaker 1: Let's see first. One is from Costs at cost on 1082 01:02:37,080 --> 01:02:39,880 Speaker 1: c a a underscore tweeted as a hater, I'm so 1083 01:02:39,960 --> 01:02:42,680 Speaker 1: happy Tom Brady came out of retirement watching him go 1084 01:02:42,720 --> 01:02:44,840 Speaker 1: out sad He's even better than I could have imagined. 1085 01:02:45,520 --> 01:02:47,200 Speaker 1: Uh And I was like in that one. And then 1086 01:02:47,200 --> 01:02:50,640 Speaker 1: Miss Hollywood at Carter for Real tweeted fake passed out 1087 01:02:50,640 --> 01:02:52,600 Speaker 1: on my three year old daughter and she still didn't call. 1088 01:02:53,600 --> 01:02:55,560 Speaker 1: She punched me in my face and yelled, you can't 1089 01:02:55,560 --> 01:03:02,720 Speaker 1: die right now. That's ridiculous. Also like maybe my worst 1090 01:03:02,800 --> 01:03:04,840 Speaker 1: nightmare as a child, you know what I mean, Like 1091 01:03:05,080 --> 01:03:07,320 Speaker 1: when I should be like watching my parents sleep and stuff. 1092 01:03:07,360 --> 01:03:12,840 Speaker 1: Oh man, Yeah, I'm I'm always tempted to do that, 1093 01:03:12,880 --> 01:03:15,040 Speaker 1: to be like how they react? How would they react? 1094 01:03:15,040 --> 01:03:17,160 Speaker 1: But I don't. I don't get Yeah, I've yet to 1095 01:03:17,280 --> 01:03:19,680 Speaker 1: pretend I was dead for my four and six year 1096 01:03:19,720 --> 01:03:24,240 Speaker 1: old for your Weekend at Bernie's emotional test. Yeah, yeah, alright. 1097 01:03:24,360 --> 01:03:27,840 Speaker 1: Some tweets I've been enjoying Old Tom at Yucky Tom tweeted, 1098 01:03:27,920 --> 01:03:29,520 Speaker 1: got high. I went to the gym and I turned 1099 01:03:29,560 --> 01:03:32,080 Speaker 1: to my buddy and said, who's this guy? Supposed to 1100 01:03:32,080 --> 01:03:35,560 Speaker 1: be Steve Pineapple? And when he said what, I realized 1101 01:03:35,600 --> 01:03:38,160 Speaker 1: this was a character of my own creation, from deep 1102 01:03:38,200 --> 01:03:42,360 Speaker 1: within my subconscious and not a reference burn anyone would understand. 1103 01:03:43,520 --> 01:03:46,480 Speaker 1: And that just brought me back to the weirdness of 1104 01:03:46,840 --> 01:03:49,360 Speaker 1: being high back when I was also not good on 1105 01:03:50,120 --> 01:03:53,120 Speaker 1: Big Spooky Dead tweeted, I went to the Silly Goose 1106 01:03:53,160 --> 01:03:55,920 Speaker 1: convention and they all knew you, which is just a 1107 01:03:55,920 --> 01:03:57,920 Speaker 1: good thing to say to people. And then on the 1108 01:03:57,960 --> 01:04:01,400 Speaker 1: subject of local politics, you know, as this is a 1109 01:04:01,440 --> 01:04:04,520 Speaker 1: good way to put put something in terms I can understand. 1110 01:04:05,000 --> 01:04:07,160 Speaker 1: Brent to dairy and twittered a picture of a T 1111 01:04:07,320 --> 01:04:10,720 Speaker 1: shirt at a one of the baseball games that was 1112 01:04:10,760 --> 01:04:13,560 Speaker 1: happening this weekend, said, the shirt makes a really good point. 1113 01:04:13,640 --> 01:04:16,480 Speaker 1: Vote and the shirt says the mayor from Jaws is 1114 01:04:16,520 --> 01:04:19,840 Speaker 1: still the mayor in Jaws too. It is so important 1115 01:04:19,840 --> 01:04:27,080 Speaker 1: to vote in your local elections. In facts, how he 1116 01:04:27,600 --> 01:04:30,880 Speaker 1: how he weathered that storm of being like we're keeping 1117 01:04:30,880 --> 01:04:34,040 Speaker 1: the damn beaches open, shark attacks be damned and then 1118 01:04:34,120 --> 01:04:38,280 Speaker 1: like three people got eaten in front of everyone, like 1119 01:04:38,320 --> 01:04:41,680 Speaker 1: it was a spectator sport. That's I don't know what 1120 01:04:42,000 --> 01:04:46,760 Speaker 1: his comms team must have been putting in work. Spectacular, constant. Yeah, 1121 01:04:46,880 --> 01:04:49,000 Speaker 1: one of the best to ever do it. You can 1122 01:04:49,040 --> 01:04:52,400 Speaker 1: find me on Twitter at Jack Underscore O'Brien. You can 1123 01:04:52,400 --> 01:04:54,600 Speaker 1: find us on Twitter at daily Zeitgeist. We're at dee 1124 01:04:54,680 --> 01:04:56,960 Speaker 1: daily Zeitgeist on Instagram. We have a fifth book fan 1125 01:04:57,040 --> 01:04:59,280 Speaker 1: page on a website daily zeygeist dot com where we 1126 01:04:59,360 --> 01:05:02,240 Speaker 1: post our episod, we done our foot notes, or we 1127 01:05:02,280 --> 01:05:03,880 Speaker 1: link off to the information that we talked about in 1128 01:05:03,920 --> 01:05:05,920 Speaker 1: today's episode, as well as the song that we think 1129 01:05:05,920 --> 01:05:08,520 Speaker 1: you might enjoy. Hey, Miles, what's the song that we 1130 01:05:08,560 --> 01:05:12,240 Speaker 1: think people might enjoy it? Oh? Man, I'm telling you. Okay, 1131 01:05:12,280 --> 01:05:16,560 Speaker 1: So this is I'm gonna I'm back on my drumming 1132 01:05:16,600 --> 01:05:19,000 Speaker 1: bass thing. Okay, I know it's some sometimes you were 1133 01:05:19,040 --> 01:05:21,040 Speaker 1: like Miles, right, you listening so much drumming bass because 1134 01:05:21,080 --> 01:05:23,280 Speaker 1: sometimes it feels free and to listen to drumm and 1135 01:05:23,280 --> 01:05:26,000 Speaker 1: bass while you're bicycling around the city. Okay. And there's 1136 01:05:26,040 --> 01:05:29,880 Speaker 1: this one is a fantastic mashup of a Brazilian track 1137 01:05:30,320 --> 01:05:33,680 Speaker 1: that I think is I want to say, let me 1138 01:05:33,760 --> 01:05:36,800 Speaker 1: just make sure I know who the original track is. 1139 01:05:37,200 --> 01:05:40,800 Speaker 1: Oh yeah, so Barbatukas, who's like the Brazilian version of Stomp. 1140 01:05:40,840 --> 01:05:43,680 Speaker 1: They have a track called Buyana and then this artist 1141 01:05:43,720 --> 01:05:47,320 Speaker 1: called Nia Archives did a drum and bass remixed to it, 1142 01:05:47,400 --> 01:05:49,760 Speaker 1: and just as somebody who loves Brazilian music and drum 1143 01:05:49,760 --> 01:05:51,960 Speaker 1: and bass, it was just a very pleasant surprise to hear. 1144 01:05:52,000 --> 01:05:55,600 Speaker 1: So this is Buyanna by Nia Archives. Listen to it 1145 01:05:55,680 --> 01:05:58,800 Speaker 1: while you b Yeah, maybe do a little freestyle like 1146 01:05:59,000 --> 01:06:01,400 Speaker 1: you know, look, you're just all over you know. I'm 1147 01:06:01,400 --> 01:06:03,280 Speaker 1: not trying to put people in danger out there, spect 1148 01:06:03,280 --> 01:06:05,880 Speaker 1: if you can't freestyle, so maybe free style bike and 1149 01:06:05,880 --> 01:06:10,920 Speaker 1: put on your makeup. That would be truly amazing. I 1150 01:06:11,000 --> 01:06:13,280 Speaker 1: was doing their makeup well if so, send video for proof. 1151 01:06:14,600 --> 01:06:16,560 Speaker 1: The Daily Zye Guys the production of My Heart Radio. 1152 01:06:16,560 --> 01:06:18,240 Speaker 1: For more podcast for My Heart Radio, visit the I 1153 01:06:18,280 --> 01:06:20,240 Speaker 1: Heart Radio app, Apple podcast, or wherever you're listening to 1154 01:06:20,240 --> 01:06:22,600 Speaker 1: your favorite shows. That is going to do it for 1155 01:06:22,680 --> 01:06:24,640 Speaker 1: us this morning, back this afternoon to tell you what 1156 01:06:24,760 --> 01:06:27,680 Speaker 1: is trending and bye bye