1 00:00:00,240 --> 00:00:10,560 Speaker 1: B Loka. Tora Radio is a radiophonic novella. 2 00:00:10,680 --> 00:00:14,640 Speaker 2: Which is just a very extra way of saying a podcast. 3 00:00:15,400 --> 00:00:19,920 Speaker 1: I'm diosa m and I am Mala Munjos. Lokatra Radio 4 00:00:20,120 --> 00:00:25,160 Speaker 1: is yr Brima's favorite podcast, hosted by us Mala and Viosa. 5 00:00:25,440 --> 00:00:30,840 Speaker 2: We're two ig friends turned podcast partners, breaking down pop culture, feminism, 6 00:00:31,040 --> 00:00:35,320 Speaker 2: sexual wellness, and offering fresh takes on trending topics through 7 00:00:35,400 --> 00:00:39,840 Speaker 2: nuanced interviews with up and coming LATINX creatives. 8 00:00:38,880 --> 00:00:42,040 Speaker 1: Known as Las Lokatas, Las Mammis of Myth and Bullshit 9 00:00:42,200 --> 00:00:47,320 Speaker 1: and Las Borgass Prosas. We were podcasting independently since twenty sixteen, 10 00:00:47,479 --> 00:00:51,080 Speaker 1: but joined iHeartMedia's Microtura network in twenty twenty two. 11 00:00:51,560 --> 00:00:55,520 Speaker 2: This year, we're continuing to share stories from the LATINX community. 12 00:00:55,840 --> 00:00:57,240 Speaker 2: Bartoo el Mundo. 13 00:00:57,600 --> 00:00:59,080 Speaker 1: Welcome to season eight. 14 00:00:59,520 --> 00:01:00,880 Speaker 2: Are you listening. 15 00:01:03,080 --> 00:01:06,200 Speaker 1: O La La Loka Motives. Welcome to Season eight of 16 00:01:06,280 --> 00:01:09,800 Speaker 1: lok Atra Radio. I'm Viosa and I Am Mala. You're 17 00:01:09,840 --> 00:01:13,600 Speaker 1: tuning in to Capitolo one ninety two. 18 00:01:14,360 --> 00:01:17,640 Speaker 2: Last time on look at Tora Radio, we interviewed the 19 00:01:17,640 --> 00:01:20,319 Speaker 2: one and Only Curly and Maya of the Super Secret 20 00:01:20,319 --> 00:01:23,800 Speaker 2: Bestie club, go back, listen to that episode, subscribe to 21 00:01:23,800 --> 00:01:25,880 Speaker 2: look at what our radio, leave a review, and share 22 00:01:25,920 --> 00:01:26,479 Speaker 2: with a friend. 23 00:01:26,920 --> 00:01:30,959 Speaker 1: Amazing. So we have a lot in store today. This 24 00:01:31,040 --> 00:01:34,680 Speaker 1: is our last episode of the season, so we're just 25 00:01:34,680 --> 00:01:38,160 Speaker 1: gonna start off by just checking in, Mala, How are you. 26 00:01:38,160 --> 00:01:39,759 Speaker 1: You've been busy per usual? 27 00:01:39,880 --> 00:01:44,000 Speaker 2: Yes, I'm good. I've been busy. This past weekend. I 28 00:01:44,200 --> 00:01:47,760 Speaker 2: was at SF Sketch Fest, which was so fun. I 29 00:01:47,880 --> 00:01:51,120 Speaker 2: performed on two shows. It was my first comedy festival, 30 00:01:51,760 --> 00:01:54,040 Speaker 2: so I was just really thrilled to have gotten in. 31 00:01:54,520 --> 00:01:57,720 Speaker 2: I performed a set at the Brava Theater in the 32 00:01:57,720 --> 00:02:00,840 Speaker 2: Brava Cabaret, which is like their small room, and then 33 00:02:00,880 --> 00:02:03,320 Speaker 2: I performed with the Lost Church, which was a really 34 00:02:03,320 --> 00:02:05,559 Speaker 2: really fun, cool venue. So I had a great time, 35 00:02:06,160 --> 00:02:10,840 Speaker 2: great first comedy festival experience. It is also week three 36 00:02:10,919 --> 00:02:13,040 Speaker 2: of grad school, so just like getting my feet wet, 37 00:02:13,120 --> 00:02:16,520 Speaker 2: getting my bearings, getting to know my class meets, really 38 00:02:16,639 --> 00:02:18,680 Speaker 2: like scoping out the competition, you know what I mean, 39 00:02:18,840 --> 00:02:22,920 Speaker 2: like really seeing who's stacking up and who's not. You know, 40 00:02:24,400 --> 00:02:28,040 Speaker 2: I'm going to be that mean girl in class. I'm kidding, 41 00:02:28,160 --> 00:02:31,079 Speaker 2: I'm being nice, I promise. What else? Okay, So I'm 42 00:02:31,120 --> 00:02:34,320 Speaker 2: back in my acting bag, which I'm so excited about. 43 00:02:34,360 --> 00:02:36,920 Speaker 2: So like last year, before the Holidays, I went to 44 00:02:36,960 --> 00:02:40,600 Speaker 2: a show called Single Writers Only at Genghis Cohen Maya 45 00:02:40,680 --> 00:02:43,480 Speaker 2: Murillo again of Super Secret Besties Club. She was their 46 00:02:43,520 --> 00:02:46,400 Speaker 2: special guest. She acted in a bunch of sketches. She 47 00:02:46,520 --> 00:02:50,000 Speaker 2: killed it. It was so fun. Helen Fernandez, who's like 48 00:02:50,120 --> 00:02:53,200 Speaker 2: the showrunner of the show, the director, she asked me 49 00:02:53,240 --> 00:02:56,960 Speaker 2: to be the special guest for their January Single Writers Only. 50 00:02:57,080 --> 00:02:59,960 Speaker 2: So at the time, like by the time this episode 51 00:03:00,080 --> 00:03:02,760 Speaker 2: comes out, that show will be done. But as of 52 00:03:02,800 --> 00:03:05,960 Speaker 2: the recording of this episode, I am in seven sketches. 53 00:03:06,280 --> 00:03:08,920 Speaker 2: I am not off book. I have three days to 54 00:03:08,960 --> 00:03:11,880 Speaker 2: get memorized to get off book. But I'm honestly so excited. 55 00:03:11,919 --> 00:03:14,600 Speaker 2: The cast is really sick, like everyone in the sketches, 56 00:03:14,639 --> 00:03:17,480 Speaker 2: they're very talented, and I just feel like, you know, 57 00:03:17,520 --> 00:03:22,240 Speaker 2: I've been kind of keeping my improv like acting sort 58 00:03:22,280 --> 00:03:25,920 Speaker 2: of bone. That's not the phrase, but that I was 59 00:03:25,960 --> 00:03:28,200 Speaker 2: gonna say, I've been keeping the bone hot. But that's 60 00:03:28,400 --> 00:03:30,800 Speaker 2: not that's not but the skills, you know, I've been 61 00:03:30,880 --> 00:03:33,000 Speaker 2: keeping them warm. I've been staying warm like I've been 62 00:03:33,000 --> 00:03:35,080 Speaker 2: at Groundlings and I've been doing the stand up and 63 00:03:35,160 --> 00:03:37,720 Speaker 2: like UCB and stuff like that, so I feel like, Okay, 64 00:03:37,840 --> 00:03:40,000 Speaker 2: it's a good thing I was doing that stuff during 65 00:03:40,040 --> 00:03:43,600 Speaker 2: the pandemic because now like it's time. Yeah, now it's 66 00:03:43,640 --> 00:03:47,120 Speaker 2: tied to showtime. So yeah, so like I'm feeling happy. 67 00:03:47,160 --> 00:03:49,080 Speaker 2: I'm feeling good. How about you? You were just in 68 00:03:49,120 --> 00:03:49,880 Speaker 2: a big race? 69 00:03:50,160 --> 00:03:52,840 Speaker 1: I was. I just ran my first race of the year, 70 00:03:53,240 --> 00:03:58,320 Speaker 1: rosebul Half Marathon, and it was hard. I ran it 71 00:03:58,400 --> 00:04:01,240 Speaker 1: last year and iprd and so I had like really 72 00:04:01,240 --> 00:04:04,560 Speaker 1: big goals for this race, and unfortunately I didn't hit 73 00:04:04,640 --> 00:04:07,840 Speaker 1: my PR time, but I was only like thirty seconds 74 00:04:07,880 --> 00:04:10,400 Speaker 1: off from last year's time, so it wasn't too big 75 00:04:10,440 --> 00:04:14,480 Speaker 1: of a decrease or whatever. But yeah, you know it's 76 00:04:14,680 --> 00:04:17,080 Speaker 1: I I'm not gonna lie. Like it is disappointing when 77 00:04:17,120 --> 00:04:18,880 Speaker 1: you go out and you have these goals and you 78 00:04:18,920 --> 00:04:22,600 Speaker 1: don't hit them, But then you really have to remind yourself, like, well, 79 00:04:22,600 --> 00:04:25,360 Speaker 1: I just ran thirteen miles, so like what is wrong 80 00:04:25,400 --> 00:04:27,839 Speaker 1: with me? Like, let me celebrate myself and be proud 81 00:04:27,920 --> 00:04:30,240 Speaker 1: that I finished the damn thing. And there were fifteen 82 00:04:30,320 --> 00:04:34,160 Speaker 1: thousand runners. It felt so big compared to last year. 83 00:04:34,200 --> 00:04:35,919 Speaker 1: I mean, last year was big, but I don't know 84 00:04:36,000 --> 00:04:39,560 Speaker 1: the number the difference of runners, of the number of 85 00:04:39,640 --> 00:04:41,839 Speaker 1: runners I should say, but it felt a lot bigger 86 00:04:41,839 --> 00:04:45,599 Speaker 1: this year. But it was fun. And it's like, my 87 00:04:45,839 --> 00:04:47,560 Speaker 1: next stop is the LA Marathon. 88 00:04:47,760 --> 00:04:49,279 Speaker 2: Oh my god, I can't believe it. 89 00:04:49,440 --> 00:04:53,640 Speaker 1: Yeah, wild, it's coming. We'll be off season when the 90 00:04:53,760 --> 00:04:56,640 Speaker 1: race happens, but I'll definitely be posting about it on 91 00:04:56,800 --> 00:04:59,280 Speaker 1: my Instagram. And the look I thought i Instagram and 92 00:04:59,800 --> 00:05:02,279 Speaker 1: it it's a big deal, you know, it's the LA Marathon. 93 00:05:02,440 --> 00:05:07,200 Speaker 1: It's like it's definitely more like friendly than the other races, 94 00:05:07,240 --> 00:05:09,000 Speaker 1: Like you don't have to qualify, you know, it's not 95 00:05:09,000 --> 00:05:13,839 Speaker 1: like Boston. It's not like, uh, what's the one in Germany? Berlin, 96 00:05:14,320 --> 00:05:16,479 Speaker 1: like the Berlin Marathon, Like there are certain marathons you 97 00:05:16,480 --> 00:05:17,520 Speaker 1: have to qualify. 98 00:05:17,160 --> 00:05:19,320 Speaker 2: For at the time with the time time. 99 00:05:19,120 --> 00:05:21,680 Speaker 1: And LA, like you can get a qualifying time at 100 00:05:21,680 --> 00:05:24,960 Speaker 1: the LA Marathon to run like Boston, but you also 101 00:05:24,960 --> 00:05:27,279 Speaker 1: don't need to qualify to run it. So I think 102 00:05:27,400 --> 00:05:29,080 Speaker 1: in that way, it's kind of mixed, like you have 103 00:05:29,120 --> 00:05:31,960 Speaker 1: the athletes, the like super elite runners, and then you 104 00:05:32,040 --> 00:05:35,200 Speaker 1: have like the hobbyist like me, you know, And so 105 00:05:35,360 --> 00:05:37,160 Speaker 1: I'm excited, but I'm scared. 106 00:05:37,720 --> 00:05:40,560 Speaker 2: You're gonna be great, You're gonna win. You're gonna win 107 00:05:40,600 --> 00:05:43,800 Speaker 2: the marathon. We go, I know it. I love I 108 00:05:43,800 --> 00:05:45,840 Speaker 2: feel like the La Marathon is is kind of like 109 00:05:46,440 --> 00:05:49,000 Speaker 2: it's a big deal in La. Yeah, like the whole 110 00:05:49,000 --> 00:05:52,760 Speaker 2: city is sort of activated and it's on TV. And 111 00:05:53,080 --> 00:05:55,599 Speaker 2: if you have lived in La for a while or 112 00:05:55,600 --> 00:05:57,719 Speaker 2: you grew up around here, you've probably seen all the 113 00:05:57,760 --> 00:06:01,679 Speaker 2: students run, lay in their shirts, all the little kids 114 00:06:01,760 --> 00:06:05,520 Speaker 2: running all over the city. Because kids, students will go, 115 00:06:05,600 --> 00:06:07,920 Speaker 2: the schools will like train them all year and then 116 00:06:07,920 --> 00:06:09,279 Speaker 2: they go and they run the marathon. 117 00:06:09,360 --> 00:06:12,200 Speaker 1: Yeah, that was actually Feranand though he did stop it, 118 00:06:12,480 --> 00:06:15,320 Speaker 1: students run La. So when he was in middle school 119 00:06:15,360 --> 00:06:21,560 Speaker 1: with his short little legs, he's already run. Hey, he's 120 00:06:21,600 --> 00:06:22,800 Speaker 1: already run the marathon. 121 00:06:23,360 --> 00:06:25,599 Speaker 2: That's exciting. I did not know that. 122 00:06:25,800 --> 00:06:28,000 Speaker 1: Yeah, yeah, I mean he was pretty athletic. He still 123 00:06:28,000 --> 00:06:32,280 Speaker 1: plays soccer, but he used to be like like, you know, 124 00:06:32,440 --> 00:06:35,800 Speaker 1: he qualified for like a soccer scholarship, like he was 125 00:06:35,839 --> 00:06:39,120 Speaker 1: an athlete, but you know he went a different route, 126 00:06:39,360 --> 00:06:42,520 Speaker 1: which good for me, you know, but public service, public service, 127 00:06:42,760 --> 00:06:43,560 Speaker 1: we got the tenship. 128 00:06:43,640 --> 00:06:44,839 Speaker 2: You could have been an athlete. 129 00:06:44,880 --> 00:06:46,440 Speaker 1: I couldn't. We probably wouldn't have met. 130 00:06:47,120 --> 00:06:50,560 Speaker 2: I wouldn't be an athlete for real, really why not? 131 00:06:51,040 --> 00:06:53,200 Speaker 1: I don't, I mean a professional athlete. 132 00:06:53,360 --> 00:06:56,520 Speaker 2: Okay, that's fair, Yeah, that's fair. It seems a little dicey. 133 00:06:56,880 --> 00:06:59,479 Speaker 2: They have a hard time hit or miss. Yeah, yeah, 134 00:07:00,240 --> 00:07:04,559 Speaker 2: to watch what was that show? The game? Yes about 135 00:07:04,560 --> 00:07:09,760 Speaker 2: football Lives the Sunbeams got I used to love that show. Yeah, 136 00:07:09,800 --> 00:07:13,280 Speaker 2: you're right. Yeah, it's a different it's a totally different lifestyle. 137 00:07:12,920 --> 00:07:17,000 Speaker 1: Totally yeah. Yeah. But anyway, so that's what I've been doing. 138 00:07:17,080 --> 00:07:19,800 Speaker 1: That's what I will be doing during off season, training 139 00:07:20,080 --> 00:07:23,880 Speaker 1: and working, yeah and all things. But yeah, I mean, 140 00:07:23,920 --> 00:07:27,120 Speaker 1: today is our last episode of the season. We made 141 00:07:27,160 --> 00:07:30,960 Speaker 1: it to thirty. We made it to our second network season. 142 00:07:31,240 --> 00:07:32,000 Speaker 2: I can't believe it. 143 00:07:32,080 --> 00:07:33,280 Speaker 1: I'm so proud of us. 144 00:07:33,680 --> 00:07:35,920 Speaker 2: It's going by so fast. Yeah, it's wild. 145 00:07:36,360 --> 00:07:40,200 Speaker 1: Yeah, it is wild. It's really flown by. And I 146 00:07:40,200 --> 00:07:44,760 Speaker 1: think partly because we haven't done like pre network we 147 00:07:44,760 --> 00:07:47,640 Speaker 1: were doing calendar seasons right and so like we had 148 00:07:47,640 --> 00:07:49,920 Speaker 1: the full year dedicated, but they were kind of like 149 00:07:49,960 --> 00:07:52,800 Speaker 1: bleeding into each other. So it does feel like it's 150 00:07:52,920 --> 00:07:56,400 Speaker 1: going a lot quicker. And you know, we launched in 151 00:07:56,480 --> 00:08:00,840 Speaker 1: July with our visual trailer inspired by i Rickel welch 152 00:08:00,920 --> 00:08:11,720 Speaker 1: and share same see, yes we took. I'm a woman, 153 00:08:11,960 --> 00:08:12,760 Speaker 1: so I'm a. 154 00:08:12,720 --> 00:08:19,680 Speaker 2: Podcaster p o dc ast exactly are you listening? We're sang, y'all. 155 00:08:19,840 --> 00:08:20,200 Speaker 1: We did. 156 00:08:20,280 --> 00:08:21,560 Speaker 2: We laid down vocals. 157 00:08:21,840 --> 00:08:24,040 Speaker 1: We did in the stew I know. 158 00:08:24,000 --> 00:08:25,640 Speaker 2: Shout out Chrystal. She helped us through it. 159 00:08:25,760 --> 00:08:27,680 Speaker 1: She does through it. She was voice coaching us. 160 00:08:27,720 --> 00:08:29,440 Speaker 2: She gave us the Billie Eilish treatment. 161 00:08:30,000 --> 00:08:30,400 Speaker 1: She did. 162 00:08:30,600 --> 00:08:35,480 Speaker 2: She was our Phineas behind the scenes, just isolating those vocals, 163 00:08:35,559 --> 00:08:38,480 Speaker 2: just like the best notes. And that's why it sounds 164 00:08:38,520 --> 00:08:38,840 Speaker 2: so good. 165 00:08:38,960 --> 00:08:42,080 Speaker 1: Yeah, that's true. How do you feel now that season 166 00:08:42,120 --> 00:08:43,720 Speaker 1: eight is coming to an end? It's rapping. 167 00:08:44,520 --> 00:08:48,720 Speaker 2: Man. I feel accomplished, I feel relieved. I feel happy. 168 00:08:49,040 --> 00:08:52,880 Speaker 2: I'm always happy when it's like another fantastic season for 169 00:08:52,960 --> 00:08:57,320 Speaker 2: the books, you know, for the archives, just another chapter completed. 170 00:08:57,440 --> 00:09:00,680 Speaker 2: I mean, what a satisfying feeling, you know. Yeah, and 171 00:09:00,720 --> 00:09:02,320 Speaker 2: we're already thinking about next season. 172 00:09:02,440 --> 00:09:06,200 Speaker 1: Oh yeah, we're already planning. We're like off season, but 173 00:09:06,240 --> 00:09:09,280 Speaker 1: we're not really off season because we'll be working, developing. 174 00:09:09,640 --> 00:09:11,960 Speaker 1: We have a lot in store for next season. We've 175 00:09:11,960 --> 00:09:17,240 Speaker 1: been brainstorming new segments and new everything. Lots of new 176 00:09:17,240 --> 00:09:20,720 Speaker 1: things coming next season, so everything new, yeah yeah, I 177 00:09:20,720 --> 00:09:22,600 Speaker 1: mean you know at our core will be the same, 178 00:09:22,640 --> 00:09:27,560 Speaker 1: but we have some new new ideas, new freshness, fresh yeah, 179 00:09:27,559 --> 00:09:31,079 Speaker 1: coming fresh vibes. We're excited. We're excited, and season nine 180 00:09:31,120 --> 00:09:33,120 Speaker 1: we'll launch at the end of April. So if you 181 00:09:33,160 --> 00:09:35,200 Speaker 1: need to catch up, you can head back to our 182 00:09:35,240 --> 00:09:38,040 Speaker 1: feet to tune in, share with your brimas, share with 183 00:09:38,080 --> 00:09:41,280 Speaker 1: a friend, and you know, since you won't be hearing 184 00:09:41,320 --> 00:09:43,040 Speaker 1: from us for a couple of months, I think we 185 00:09:43,120 --> 00:09:48,800 Speaker 1: wanted to start with some local, global happenings and just 186 00:09:48,840 --> 00:09:50,240 Speaker 1: give our perspective on it. 187 00:09:50,360 --> 00:09:52,640 Speaker 2: There's a lot going on. There's a lot going on. 188 00:09:53,200 --> 00:09:56,040 Speaker 2: First and foremost you all are probably keeping up. Oscar 189 00:09:56,120 --> 00:10:01,440 Speaker 2: season is upon us. It's here and another big deal 190 00:10:01,760 --> 00:10:03,920 Speaker 2: in La I mean, I'm sure in other parts of 191 00:10:03,920 --> 00:10:06,920 Speaker 2: the country too, but here it's like it's award season. Yes, 192 00:10:07,200 --> 00:10:10,520 Speaker 2: you know. So there are some really fun, exciting nominations 193 00:10:10,600 --> 00:10:14,680 Speaker 2: that have come out. Namely, America Ferrera has been nominated 194 00:10:14,679 --> 00:10:18,440 Speaker 2: for an Oscar for Best Supporting Actress for Barbie Yes, 195 00:10:18,679 --> 00:10:22,520 Speaker 2: which is amazing because Greta Gerwig was snubbed and didn't 196 00:10:22,559 --> 00:10:26,720 Speaker 2: get an OSCAR nomination for Barbie, neither did Margot Robbie, right, 197 00:10:26,800 --> 00:10:29,040 Speaker 2: but our girl America did, so we're happy over here. 198 00:10:29,160 --> 00:10:32,480 Speaker 1: Yes, no complaints, no complaints, no complaints. I mean I 199 00:10:32,520 --> 00:10:35,000 Speaker 1: think I saw someone post like, Okay, yes they didn't 200 00:10:35,000 --> 00:10:39,800 Speaker 1: get nominated, but the outrage is also overshadowing that America did. So, Like, 201 00:10:40,200 --> 00:10:41,280 Speaker 1: let's talk about America. 202 00:10:41,440 --> 00:10:45,040 Speaker 2: So maybe technically got a nomination, right Visa vi Amedia. Yes, 203 00:10:45,240 --> 00:10:48,359 Speaker 2: and she deserves it. Go listen to our America episode. 204 00:10:48,559 --> 00:10:51,800 Speaker 1: Yes, we have a full episode, a retrospective of her 205 00:10:51,880 --> 00:10:55,760 Speaker 1: career and some of our favorite films and TV series 206 00:10:55,760 --> 00:10:58,600 Speaker 1: that she's been in. So definitely tune into that one. 207 00:10:58,720 --> 00:11:01,360 Speaker 1: It's one of our favorites called We Love America. 208 00:11:02,679 --> 00:11:04,880 Speaker 2: Hell Yeah. And I just want to say, you know 209 00:11:04,920 --> 00:11:07,280 Speaker 2: that she's one hell of an actress when like the 210 00:11:07,360 --> 00:11:12,120 Speaker 2: supporting actress is getting the shine, is the standout is 211 00:11:12,160 --> 00:11:15,719 Speaker 2: getting the noom. You know, like she wasn't the lead, right, 212 00:11:15,840 --> 00:11:18,960 Speaker 2: but so much of the buzz has been around her performance, 213 00:11:19,000 --> 00:11:23,880 Speaker 2: specifically the monologue, specifically what she means in the movie, 214 00:11:24,040 --> 00:11:26,760 Speaker 2: and you know, and so I think it's a very 215 00:11:26,800 --> 00:11:29,360 Speaker 2: powerful moment because Margo Robbie is like, I mean that 216 00:11:29,440 --> 00:11:32,439 Speaker 2: there's so much star power there, right, not that America 217 00:11:32,559 --> 00:11:35,160 Speaker 2: doesn't have her own star power, clearly, we're seeing it. 218 00:11:35,160 --> 00:11:38,280 Speaker 2: It's shining through, it's happening. So yeah, very exciting, very 219 00:11:38,320 --> 00:11:40,719 Speaker 2: exciting times. And she's not the only one. Becky G. 220 00:11:41,679 --> 00:11:43,480 Speaker 2: That's right, also nominated for an Oscar. 221 00:11:43,640 --> 00:11:47,320 Speaker 1: Becky G was nominated for Best Original Song for the 222 00:11:47,320 --> 00:11:51,079 Speaker 1: Flame and Hot film, And that's exciting. 223 00:11:51,559 --> 00:11:55,080 Speaker 2: Very exciting. Eva Longoria has been talking about working with 224 00:11:55,160 --> 00:11:58,360 Speaker 2: Becky to bring the song together and bring it into 225 00:11:58,400 --> 00:12:01,680 Speaker 2: the movie. A lot of sup behind her and the music. 226 00:12:02,040 --> 00:12:04,000 Speaker 2: Very exciting to see. 227 00:12:04,160 --> 00:12:09,079 Speaker 1: Yeah. Also, Coleman Domingo was also nominated for Rest in 228 00:12:09,240 --> 00:12:14,360 Speaker 1: rust In. Yes, and so another another Latino actor. Yeah, 229 00:12:14,400 --> 00:12:17,880 Speaker 1: also you know, getting their shine in the mix. Yes, 230 00:12:17,920 --> 00:12:20,000 Speaker 1: and there's there's a few others, but we definitely wanted 231 00:12:20,000 --> 00:12:22,680 Speaker 1: to highlight a Medica since we covered her this past season. 232 00:12:24,320 --> 00:12:26,640 Speaker 2: So well, you know, we continue to keep up with 233 00:12:26,679 --> 00:12:28,520 Speaker 2: the Oscars. I don't know, I don't know if do 234 00:12:28,600 --> 00:12:30,480 Speaker 2: you guys watch the Oscars at home? We still watch 235 00:12:30,520 --> 00:12:31,400 Speaker 2: I watch the Oscars. 236 00:12:31,440 --> 00:12:32,000 Speaker 1: We still do. 237 00:12:32,080 --> 00:12:34,800 Speaker 2: I tune in when it's on TV. I love it. 238 00:12:34,880 --> 00:12:39,280 Speaker 1: We still do yeah, were there have. I think that 239 00:12:39,400 --> 00:12:41,440 Speaker 1: now it's taken a lot more work on my end 240 00:12:41,480 --> 00:12:44,679 Speaker 1: to like keep up with the films that are nominated. 241 00:12:44,720 --> 00:12:46,559 Speaker 1: I feel like before I used to just oh, yeah, 242 00:12:46,600 --> 00:12:48,240 Speaker 1: I've seen all of them, and now I'm like, okay, 243 00:12:48,280 --> 00:12:49,600 Speaker 1: I have to watch all of them. Like there's a 244 00:12:49,600 --> 00:12:51,840 Speaker 1: little more preparation online. I don't know if it's because 245 00:12:51,840 --> 00:12:52,400 Speaker 1: I'm older. 246 00:12:52,840 --> 00:12:55,920 Speaker 2: I don't know. I don't have the numbers, the hard 247 00:12:56,000 --> 00:12:59,400 Speaker 2: data to make this comparison, but my feeling is that 248 00:12:59,440 --> 00:13:03,480 Speaker 2: they're just more movies. They're just way more movies. I 249 00:13:03,520 --> 00:13:05,480 Speaker 2: feel like back in the day, there was like the 250 00:13:05,520 --> 00:13:09,760 Speaker 2: big five studios. You know, you have like your Paramount, 251 00:13:09,800 --> 00:13:12,800 Speaker 2: your Warner Brothers, your Disney et cetera, et cetera, Sony, 252 00:13:12,880 --> 00:13:16,959 Speaker 2: what have you. And they were the ones making movies, 253 00:13:17,120 --> 00:13:19,439 Speaker 2: and the movies were showing at the movie theater, so 254 00:13:19,559 --> 00:13:22,800 Speaker 2: you knew which movies were contenders because there was only 255 00:13:22,840 --> 00:13:26,600 Speaker 2: so many. There was two handfuls maybe of Oscar contenders 256 00:13:26,640 --> 00:13:29,760 Speaker 2: per year. And now there's it's not just the Big 257 00:13:29,800 --> 00:13:33,640 Speaker 2: five studios, there's tons of studios. Yes, you know, and yeah, 258 00:13:33,720 --> 00:13:38,200 Speaker 2: Netflix is a competitor. Who lose a competitor Apple TV well, 259 00:13:38,200 --> 00:13:41,160 Speaker 2: because apparently now this and I want to say it's 260 00:13:41,200 --> 00:13:44,560 Speaker 2: this cycle, but I think Apple TV got the most 261 00:13:45,120 --> 00:13:49,920 Speaker 2: Oscar noms of all the studios, and I think Paramount 262 00:13:50,440 --> 00:13:53,480 Speaker 2: was somewhere at the bottom. Oh interesting, the streamers are 263 00:13:53,679 --> 00:13:57,240 Speaker 2: cleaning up. Yeah, you know so anyways, Yes, it's just 264 00:13:57,320 --> 00:14:02,600 Speaker 2: a very It's a different landscape than when we're tiny children. 265 00:14:02,920 --> 00:14:04,880 Speaker 1: I know, Oh my god. 266 00:14:05,240 --> 00:14:09,280 Speaker 2: Using dial up internet. It's fine, we're still here, but 267 00:14:09,320 --> 00:14:13,160 Speaker 2: you know who's not still here. The tons of employees 268 00:14:13,480 --> 00:14:18,280 Speaker 2: were laid off. They're still with us, they're still here. 269 00:14:18,320 --> 00:14:21,080 Speaker 2: We love them, we embrace them, we support them. But yeah, 270 00:14:21,160 --> 00:14:25,040 Speaker 2: the La Times, I can't stand. I'm so sorry start over. 271 00:14:25,440 --> 00:14:27,880 Speaker 2: The La Times has just laid off a bunch of 272 00:14:27,960 --> 00:14:31,920 Speaker 2: journalists and copy editors and audience engagement editors and opinion 273 00:14:32,000 --> 00:14:34,920 Speaker 2: column all kinds of people. It's very bad over there, 274 00:14:34,960 --> 00:14:37,840 Speaker 2: one hundred and fifteen positions. It's not only The La Times, 275 00:14:38,280 --> 00:14:44,280 Speaker 2: it's also Univision Sports Illustrated, the folks over at condy Nast. 276 00:14:44,400 --> 00:14:48,280 Speaker 1: Pitchfork was folded into GQ. There's like have been a 277 00:14:48,320 --> 00:14:50,680 Speaker 1: ton of layoffs. We're only one month into the year, 278 00:14:51,680 --> 00:14:56,880 Speaker 1: and it's definitely heartbreaking. Gout Redching. You know, we've been 279 00:14:56,880 --> 00:15:00,880 Speaker 1: talking about the Loss here at this past year because 280 00:15:00,880 --> 00:15:03,680 Speaker 1: we both started while I was doing some videos for them, 281 00:15:03,880 --> 00:15:07,480 Speaker 1: I did some articles for them, and to me it 282 00:15:07,680 --> 00:15:09,960 Speaker 1: was like, you know, my first byline in the La 283 00:15:10,040 --> 00:15:12,760 Speaker 1: Times was with the Los, was for the Los, and 284 00:15:12,840 --> 00:15:16,440 Speaker 1: so I probably wouldn't have pitched to them to the 285 00:15:16,560 --> 00:15:18,600 Speaker 1: La Times had it not been for the Los. And 286 00:15:18,680 --> 00:15:21,400 Speaker 1: so I'm really grateful to the team there that had 287 00:15:22,160 --> 00:15:25,040 Speaker 1: they gave me that opportunity. And to be clear, Delos 288 00:15:25,120 --> 00:15:27,960 Speaker 1: is still a project. I think there's only four employees, 289 00:15:28,080 --> 00:15:32,080 Speaker 1: but their team was essentially gutted. A lot of people 290 00:15:32,080 --> 00:15:36,480 Speaker 1: were let go, mainly I mean Latino journalists. 291 00:15:36,840 --> 00:15:39,320 Speaker 2: Yeah, in the Lost team at least bifically for sure, 292 00:15:39,880 --> 00:15:41,920 Speaker 2: and journalists that have been doing really cool stuff that 293 00:15:41,960 --> 00:15:45,640 Speaker 2: we know and love. And you know what, they're gonna 294 00:15:45,640 --> 00:15:47,960 Speaker 2: be okay, they're gonna thrive, They're gonna go on and 295 00:15:48,000 --> 00:15:54,040 Speaker 2: do great things. However, it is so unnerving and unsettling 296 00:15:54,760 --> 00:15:56,840 Speaker 2: to see all the things happening at the La Times. 297 00:15:57,240 --> 00:15:59,200 Speaker 2: It is the paper of record for us here on 298 00:15:59,240 --> 00:16:01,480 Speaker 2: the West Coast. You know, this is our New York Times, 299 00:16:01,480 --> 00:16:04,680 Speaker 2: It's the La Times. And I have a little bit 300 00:16:04,680 --> 00:16:07,480 Speaker 2: of ethical cheesema that I want to drop. So I 301 00:16:07,520 --> 00:16:11,240 Speaker 2: have a friend who will go unnamed, who works at 302 00:16:11,240 --> 00:16:14,400 Speaker 2: the Times, and shared like a really interesting little tidbit, 303 00:16:14,440 --> 00:16:16,960 Speaker 2: a little perspective with me that this person feels like 304 00:16:17,880 --> 00:16:21,400 Speaker 2: upon the change of power and ownership and leadership, there's 305 00:16:21,440 --> 00:16:26,200 Speaker 2: been this very chaotic decline in sort of organization and 306 00:16:26,320 --> 00:16:29,200 Speaker 2: morale and like the treatment of staff over at the Times, 307 00:16:29,600 --> 00:16:32,360 Speaker 2: and there's this sort of growing feeling that like is 308 00:16:33,240 --> 00:16:36,920 Speaker 2: leadership is ownership? Like trying to tank the paper from 309 00:16:36,960 --> 00:16:40,800 Speaker 2: the inside, you know, And you have folks who not 310 00:16:40,840 --> 00:16:44,720 Speaker 2: only are being laid off, but who are leaving because 311 00:16:44,760 --> 00:16:48,360 Speaker 2: they're like, we can't operate a newsroom this way. This 312 00:16:48,560 --> 00:16:52,120 Speaker 2: is chaos. So folks are leaving because it's too chaotic, 313 00:16:52,360 --> 00:16:56,160 Speaker 2: and people are being laid off, creating even more chaos. 314 00:16:57,080 --> 00:16:59,440 Speaker 2: So like, what is the future of the Times? How 315 00:16:59,440 --> 00:17:02,960 Speaker 2: do they recover from this? I wonder too, when does 316 00:17:03,000 --> 00:17:06,000 Speaker 2: the city or the state do they step in? 317 00:17:06,520 --> 00:17:06,639 Speaker 3: Right? 318 00:17:07,520 --> 00:17:10,200 Speaker 2: Is there like a life raft that they send over? 319 00:17:10,400 --> 00:17:13,399 Speaker 2: Like what happens? How does the paper get salvaged? Like 320 00:17:13,520 --> 00:17:15,320 Speaker 2: where does it go? I'm just I don't know. We're 321 00:17:15,359 --> 00:17:16,439 Speaker 2: just going to have to keep watching. 322 00:17:17,160 --> 00:17:20,040 Speaker 1: Yeah, I mean I think it's especially alarming because it's 323 00:17:20,359 --> 00:17:26,919 Speaker 1: an election year and disinformation, misinformation is we're at like 324 00:17:26,960 --> 00:17:31,840 Speaker 1: a breaking point compiled with it being an election yeer, 325 00:17:32,080 --> 00:17:35,640 Speaker 1: I believe the Washington DC Bureau was also closed, So 326 00:17:35,760 --> 00:17:38,040 Speaker 1: that definitely raises a lot of red flags for me. 327 00:17:38,720 --> 00:17:41,320 Speaker 1: And yeah, I mean, you're a lot of the journalists 328 00:17:41,359 --> 00:17:43,600 Speaker 1: that were let go, we're journalists of color, and so 329 00:17:44,080 --> 00:17:46,320 Speaker 1: they're also a lot of the times, the ones that 330 00:17:46,320 --> 00:17:48,919 Speaker 1: are in the community, reporting on their own community, and 331 00:17:49,000 --> 00:17:52,840 Speaker 1: so when you lose that, especially during election year, especially 332 00:17:52,920 --> 00:17:57,480 Speaker 1: during a year when information is crucial, Yeah, it's very alarming. 333 00:17:57,640 --> 00:18:00,320 Speaker 1: The red flags are raised, you know. 334 00:18:01,320 --> 00:18:03,560 Speaker 2: Yeah, I mean when we've talked about this in the past, 335 00:18:03,560 --> 00:18:07,200 Speaker 2: but like La Mag is a is a publication that 336 00:18:07,480 --> 00:18:10,760 Speaker 2: had a change in ownership and leadership and sort of 337 00:18:10,760 --> 00:18:12,680 Speaker 2: went from being kind of a little more like in 338 00:18:12,800 --> 00:18:17,080 Speaker 2: DLA to being like, oh, owned by like oc like 339 00:18:17,280 --> 00:18:22,639 Speaker 2: right wingers. We've seen some weird like misinformation printed in 340 00:18:22,840 --> 00:18:25,760 Speaker 2: La mag Yes, which is like why was this story 341 00:18:26,680 --> 00:18:32,000 Speaker 2: specifically put in here and put out? For example, there 342 00:18:32,080 --> 00:18:34,960 Speaker 2: was like a little article from La mag that said 343 00:18:35,119 --> 00:18:40,879 Speaker 2: Neuri Martinez has moved to Arizona, and is now a Republican. Now, 344 00:18:41,119 --> 00:18:43,800 Speaker 2: I feel like that's a plausible thing that could happened. 345 00:18:43,920 --> 00:18:47,240 Speaker 2: I said that on a past episode of Look at 346 00:18:47,080 --> 00:18:50,040 Speaker 2: What Our Radio. And then months a year later, maybe 347 00:18:50,600 --> 00:18:53,199 Speaker 2: LA Mag puts out this little article saying, oh, like 348 00:18:53,320 --> 00:18:56,119 Speaker 2: Nery Martinez has moved to Arizona and is a Republican. 349 00:18:56,560 --> 00:18:58,760 Speaker 2: But then Nerra Martinez put out a statement. 350 00:18:58,600 --> 00:19:01,200 Speaker 1: No, I believe it was a journalists from the La 351 00:19:01,320 --> 00:19:03,960 Speaker 1: Times that was like followed up on that followed up 352 00:19:04,240 --> 00:19:07,400 Speaker 1: and reached out to Nuri, and Nuri responded to the 353 00:19:07,720 --> 00:19:10,320 Speaker 1: journalist and said, no, I'm still very much in the valley. 354 00:19:10,560 --> 00:19:13,399 Speaker 1: I'm still very much a Democrat. Like that's not true 355 00:19:13,440 --> 00:19:13,760 Speaker 1: at all. 356 00:19:13,920 --> 00:19:17,800 Speaker 2: Yeah, and so like why did LA Mag print that? Yeah, 357 00:19:17,880 --> 00:19:20,640 Speaker 2: what was the where was the reason, what was the reason? 358 00:19:20,640 --> 00:19:22,879 Speaker 2: Where did it come from? And what was the reason? 359 00:19:23,119 --> 00:19:25,160 Speaker 2: When I said it, it's just like a prediction, right, 360 00:19:25,520 --> 00:19:27,480 Speaker 2: you know they put it out as like a piece 361 00:19:27,520 --> 00:19:32,160 Speaker 2: of reporting. Yes, So anyways, odd, our LA news outlets 362 00:19:32,160 --> 00:19:32,760 Speaker 2: are suffering. 363 00:19:32,960 --> 00:19:36,720 Speaker 1: Yeah, I mean, and LA obviously, you know, is a 364 00:19:36,800 --> 00:19:40,000 Speaker 1: large state, makes up like the fifth like the fifth 365 00:19:40,080 --> 00:19:44,119 Speaker 1: largest economy in the country, and California and so we 366 00:19:44,160 --> 00:19:46,959 Speaker 1: need sorry, Yeah, California. And so yes, we like we 367 00:19:47,040 --> 00:19:52,040 Speaker 1: need like a working, functioning media newsroom paper that's going 368 00:19:52,119 --> 00:19:55,040 Speaker 1: to cover everything on this side on the West coast 369 00:19:55,080 --> 00:19:57,960 Speaker 1: in LA in California. Like we it's crucial. Yea. 370 00:19:58,119 --> 00:19:58,359 Speaker 2: Yeah. 371 00:19:58,600 --> 00:20:01,720 Speaker 1: I think something that I've been seeing journalists talk about 372 00:20:01,880 --> 00:20:04,359 Speaker 1: is like your gut reaction maybe to cancel your La 373 00:20:04,440 --> 00:20:07,280 Speaker 1: Time subscription, but actually keep it. We want to keep 374 00:20:07,320 --> 00:20:11,200 Speaker 1: supporting local paper. We want to keep supporting grassroots papers, 375 00:20:11,440 --> 00:20:16,320 Speaker 1: community journalism, whether that be La Taco, La Public Press, 376 00:20:16,440 --> 00:20:20,800 Speaker 1: or any like hyperlocal news organizations. Yeah, we want to 377 00:20:20,840 --> 00:20:22,800 Speaker 1: keep supporting the paper of record. We want to support 378 00:20:22,880 --> 00:20:26,719 Speaker 1: journalist and journalism. It's super important now and forever. 379 00:20:27,560 --> 00:20:30,560 Speaker 2: Yeah, and I mean throughout the LA area, Like in 380 00:20:30,600 --> 00:20:33,960 Speaker 2: every little community there's a local paper like capacity in 381 00:20:34,000 --> 00:20:37,760 Speaker 2: the Star News. There's like also like a print paper 382 00:20:37,920 --> 00:20:40,879 Speaker 2: that is downtown. It's like a downtown weekly or whatever 383 00:20:41,000 --> 00:20:43,119 Speaker 2: that I see like at all the coffee shops and stuff. 384 00:20:43,119 --> 00:20:45,760 Speaker 2: So there's different ways to get your news. Also, if 385 00:20:45,760 --> 00:20:49,040 Speaker 2: you have a favorite journalist at the La Times who 386 00:20:49,040 --> 00:20:51,640 Speaker 2: has since been laid off, most of them will have 387 00:20:51,680 --> 00:20:54,199 Speaker 2: some type of a sub stack or a blog or 388 00:20:54,240 --> 00:20:57,679 Speaker 2: somewhere else where you can follow and subscribe and still 389 00:20:57,720 --> 00:21:02,480 Speaker 2: read their work. So check that out because I think 390 00:21:02,520 --> 00:21:05,000 Speaker 2: we're going to probably see during the pandemic a lot 391 00:21:05,000 --> 00:21:06,760 Speaker 2: of journalists started substacks. 392 00:21:07,119 --> 00:21:07,760 Speaker 1: Yeah. 393 00:21:07,840 --> 00:21:10,320 Speaker 2: I anticipate we'll see another wave of that, you know, 394 00:21:10,400 --> 00:21:11,600 Speaker 2: So that's another way to support. 395 00:21:12,200 --> 00:21:14,480 Speaker 1: Yeah, And I think something my journalist friends and I 396 00:21:14,480 --> 00:21:16,639 Speaker 1: have been talking about, I mean, is really kind of 397 00:21:16,640 --> 00:21:18,800 Speaker 1: modeling what you and I have done, Mala. But one 398 00:21:18,800 --> 00:21:21,760 Speaker 1: of my friends was saying, like, you know, she has 399 00:21:22,200 --> 00:21:24,640 Speaker 1: like a nine to five that pays really well, and 400 00:21:24,720 --> 00:21:26,840 Speaker 1: she's like, I just have to do journalism on the side, 401 00:21:26,920 --> 00:21:30,560 Speaker 1: Like I can't leave this stable job totally because look 402 00:21:30,600 --> 00:21:34,000 Speaker 1: at the landscape right now. And so you know, we 403 00:21:34,000 --> 00:21:36,600 Speaker 1: were talking about, like, well, that's really what worked for us. 404 00:21:36,760 --> 00:21:38,680 Speaker 1: We had our nine to fives and we kept it 405 00:21:38,800 --> 00:21:41,280 Speaker 1: for as long as possible, and so I hate for 406 00:21:41,320 --> 00:21:43,480 Speaker 1: that to be the reality for journalists and up and 407 00:21:43,480 --> 00:21:47,000 Speaker 1: coming journalist. But I think that because of the landscape, 408 00:21:47,000 --> 00:21:48,639 Speaker 1: I think we're going to see a lot of like 409 00:21:48,840 --> 00:21:52,480 Speaker 1: more freelancing, which comes with its pros and cons. Right, 410 00:21:52,520 --> 00:21:55,200 Speaker 1: you have less like formalized you're not in a union, yeah, 411 00:21:55,280 --> 00:21:59,080 Speaker 1: less protections. Yeah, it's you know, journalists are hunting down 412 00:21:59,160 --> 00:22:02,359 Speaker 1: like getting paid for like their freelance work notoriously, and 413 00:22:02,400 --> 00:22:05,160 Speaker 1: so there's pros and cons to all of it. But yeah, 414 00:22:05,200 --> 00:22:08,479 Speaker 1: I think like what is it? We know, the broader, 415 00:22:08,560 --> 00:22:10,600 Speaker 1: bigger question that we're not going to answer today because 416 00:22:10,640 --> 00:22:13,000 Speaker 1: nobody can, But it's like, what is the future of journalism? 417 00:22:13,080 --> 00:22:16,080 Speaker 1: And how do we fund it? How do we do 418 00:22:16,160 --> 00:22:19,000 Speaker 1: it ourselves? How is it? How is does it become 419 00:22:19,000 --> 00:22:19,560 Speaker 1: a co op? 420 00:22:19,840 --> 00:22:20,080 Speaker 2: You know? 421 00:22:20,320 --> 00:22:22,520 Speaker 1: Is it worker owned? I don't know, but I think 422 00:22:22,600 --> 00:22:25,240 Speaker 1: that these are all questions that we're all asking right now. 423 00:22:25,560 --> 00:22:28,159 Speaker 2: Yeah, and it's you know, I feel like this is 424 00:22:28,200 --> 00:22:31,200 Speaker 2: one of those fallouts of late stage capitalism. Oh yeah, 425 00:22:31,320 --> 00:22:35,520 Speaker 2: all of our media is privately owned, yes, and you know, 426 00:22:35,600 --> 00:22:38,480 Speaker 2: not to say that a government run media would be 427 00:22:38,520 --> 00:22:41,879 Speaker 2: so much better, but we don't have state media. We 428 00:22:41,920 --> 00:22:43,280 Speaker 2: don't have government media. 429 00:22:43,400 --> 00:22:45,760 Speaker 1: Yeah, just public media. I mean there's a there is 430 00:22:45,840 --> 00:22:48,639 Speaker 1: public media, but not but there's also private media. As 431 00:22:48,680 --> 00:22:49,320 Speaker 1: you're saying, the. 432 00:22:49,320 --> 00:22:52,439 Speaker 2: La Times is privately owned, you know, and by like 433 00:22:52,640 --> 00:22:59,000 Speaker 2: one person, and that's problematic. Yeah, but are clearly very problematic. 434 00:22:59,080 --> 00:23:02,280 Speaker 2: So yeah, I don't know what the solution is, right, 435 00:23:02,440 --> 00:23:06,160 Speaker 2: but the system that we have created is not stable. 436 00:23:06,840 --> 00:23:09,840 Speaker 2: And I don't know every apocalyptic film I've ever seen. 437 00:23:10,480 --> 00:23:12,879 Speaker 2: You know, when news media is run into the ground 438 00:23:13,240 --> 00:23:16,520 Speaker 2: and is in flames, that's never a good thing. No, 439 00:23:16,680 --> 00:23:17,360 Speaker 2: that's a bad sign. 440 00:23:17,400 --> 00:23:19,960 Speaker 1: I mean democracy is already hanging on by a thread. Yes, 441 00:23:20,000 --> 00:23:24,439 Speaker 1: you know, we're about to see former president Trump, you know, 442 00:23:24,560 --> 00:23:28,640 Speaker 1: probably be on the ballot for the second time. We're 443 00:23:28,680 --> 00:23:31,439 Speaker 1: going to see Biden versus Trump two point zero, Like, 444 00:23:31,520 --> 00:23:34,280 Speaker 1: that's the likelihood of it. And so to see then 445 00:23:34,440 --> 00:23:37,480 Speaker 1: democracy and jurntalism hanging on by a thread, it's scary. 446 00:23:37,560 --> 00:23:41,800 Speaker 1: We are in late stage, late stage capitalism. Yeah, it's apocalyptic. Yeah, 447 00:23:41,840 --> 00:23:45,440 Speaker 1: it's not like future apocalypse. It's like, no, it's apocalyptic. 448 00:23:44,840 --> 00:23:46,920 Speaker 2: Now, it's unfolding, it's current. We're in the middle of it. 449 00:23:47,160 --> 00:23:50,359 Speaker 2: I always try and remind myself, you know, so it's 450 00:23:50,400 --> 00:23:54,080 Speaker 2: not as as to fearmonger, you know, not to be like, 451 00:23:54,200 --> 00:23:57,080 Speaker 2: oh my god, doom and gloom. But it's like, I 452 00:23:57,240 --> 00:24:00,239 Speaker 2: just feel like, in the history of the world, been 453 00:24:00,280 --> 00:24:02,600 Speaker 2: so many horrible things that have happened that at the 454 00:24:02,640 --> 00:24:04,800 Speaker 2: time probably felt like apocalypse. 455 00:24:04,960 --> 00:24:05,800 Speaker 1: Right, Oh, totally. 456 00:24:06,200 --> 00:24:10,359 Speaker 2: We literally dropped nuclear bombs, you know, on Japan, and 457 00:24:10,400 --> 00:24:13,639 Speaker 2: I'm sure that had to have felt like end of days. 458 00:24:14,400 --> 00:24:18,959 Speaker 2: You know, the world continues, life goes on, So I 459 00:24:19,080 --> 00:24:21,960 Speaker 2: try and keep that in mind. Yes, like bad things happen, 460 00:24:22,400 --> 00:24:26,320 Speaker 2: and somehow we still we persevere. 461 00:24:26,000 --> 00:24:29,320 Speaker 1: The resilience of the human spirit. Honestly, God, yeah, I 462 00:24:29,359 --> 00:24:31,760 Speaker 1: mean not to be cheesy, but that's the reality. 463 00:24:31,960 --> 00:24:34,640 Speaker 2: That's what we're dealing with here's and it's just it's 464 00:24:34,680 --> 00:24:38,800 Speaker 2: all about the friends that we made along the way. Ultimately, 465 00:24:39,320 --> 00:24:42,040 Speaker 2: as long as we're making friends and having fun, well, 466 00:24:42,080 --> 00:24:43,040 Speaker 2: I gus what it's all about. 467 00:24:43,359 --> 00:24:45,240 Speaker 1: I also want to shout out, you know, one of 468 00:24:45,240 --> 00:24:48,800 Speaker 1: the journalists, the only Latina opinion columnists at the La 469 00:24:48,920 --> 00:24:52,920 Speaker 1: Times that was unfortunately laid off, Jinirido. She helped us 470 00:24:53,480 --> 00:25:00,439 Speaker 1: unpack the the polarizing comments and polarizing stamp since we 471 00:25:00,440 --> 00:25:05,960 Speaker 1: were seeing on social media when the Israel Palestine crisis 472 00:25:06,119 --> 00:25:09,840 Speaker 1: first unfolded post October seventh. We know, obviously it's been 473 00:25:09,920 --> 00:25:14,080 Speaker 1: decades long, but she did help us unpack some of that. 474 00:25:14,280 --> 00:25:17,520 Speaker 1: And so because our season is coming to the end 475 00:25:17,520 --> 00:25:19,280 Speaker 1: and we won't be able to do any more coverage 476 00:25:19,520 --> 00:25:22,239 Speaker 1: from now until April, we did want to share that, 477 00:25:22,280 --> 00:25:24,280 Speaker 1: you know, at the time of this recording, it's still 478 00:25:24,400 --> 00:25:28,680 Speaker 1: very much and will always be free Palestine, and PBS 479 00:25:28,960 --> 00:25:32,359 Speaker 1: reported that as of now, the Palestinian death toll has 480 00:25:32,400 --> 00:25:35,439 Speaker 1: reached twenty five thousand. There are a couple journalists that 481 00:25:35,600 --> 00:25:39,119 Speaker 1: have evacuated Gaza, you know, have been there for one 482 00:25:39,200 --> 00:25:42,000 Speaker 1: hundred plus days and now feel they can no longer 483 00:25:42,160 --> 00:25:45,800 Speaker 1: safely report and have decided to evacuate, which means that 484 00:25:46,000 --> 00:25:49,280 Speaker 1: one there's less eyes on the ground, and two the 485 00:25:49,359 --> 00:25:51,720 Speaker 1: likelihood of them being able to then return to Gaza 486 00:25:51,840 --> 00:25:55,320 Speaker 1: is very unlikely. And so just wanted to state that 487 00:25:55,480 --> 00:25:58,280 Speaker 1: and remind y'all that if you haven't listened to our 488 00:25:58,320 --> 00:26:02,720 Speaker 1: previous episodes about the Palestinian crisis and our coverage on it, 489 00:26:02,840 --> 00:26:07,000 Speaker 1: we have three episodes, one which it Jean Guerrero, the 490 00:26:07,080 --> 00:26:11,720 Speaker 1: other about Latin American and Palestinian solidarity, and Lauren Medina 491 00:26:11,800 --> 00:26:15,560 Speaker 1: talks to us about as a Palestinian Colombian woman about 492 00:26:16,000 --> 00:26:18,960 Speaker 1: solidarity and how to be active and how to join 493 00:26:19,200 --> 00:26:21,480 Speaker 1: local actions and calling your reps and all of that. 494 00:26:24,080 --> 00:26:27,919 Speaker 2: So on today's episode, the gardener of today's episode, we 495 00:26:28,320 --> 00:26:33,639 Speaker 2: are bringing back a very original og topic that we 496 00:26:33,840 --> 00:26:37,520 Speaker 2: discussed on Loca many many eons ago. That is the 497 00:26:37,560 --> 00:26:42,280 Speaker 2: concept that we actually coined alongside a past locat our 498 00:26:42,359 --> 00:26:46,159 Speaker 2: radio guest, and the term is ethical cheese me. So 499 00:26:46,240 --> 00:26:49,160 Speaker 2: you've probably heard us talk about ethical cheesema on the podcast. 500 00:26:49,200 --> 00:26:52,640 Speaker 2: There's a whole episode around it, and we recorded said 501 00:26:52,640 --> 00:26:54,359 Speaker 2: episode in twenty seventeen. 502 00:26:55,200 --> 00:26:57,399 Speaker 1: I can't believe we've been podcasting that long. I know, 503 00:26:57,600 --> 00:26:59,359 Speaker 1: I know we've we've do it, and we've done it 504 00:26:59,400 --> 00:27:00,879 Speaker 1: and we talk about how we've been doing it for 505 00:27:00,920 --> 00:27:03,040 Speaker 1: so long, but seeing it in that way, it was 506 00:27:03,080 --> 00:27:06,159 Speaker 1: literally episode ten, y'all like wi, and we celebrated a 507 00:27:06,200 --> 00:27:09,160 Speaker 1: mini milestone on that episode because it was episode ten, 508 00:27:09,960 --> 00:27:13,600 Speaker 1: and we invited Ruben, who's formerly known as Cruciicano cheese 509 00:27:13,600 --> 00:27:15,880 Speaker 1: Me on to look I thought our radio to discuss 510 00:27:15,960 --> 00:27:20,040 Speaker 1: cheesemy and while we were recording, the three of us 511 00:27:20,400 --> 00:27:24,720 Speaker 1: coined this term ethical cheese may and made the distinctions 512 00:27:24,760 --> 00:27:28,760 Speaker 1: between being a methiche being you know, a cheez moosa, 513 00:27:30,000 --> 00:27:33,639 Speaker 1: she's mosse sure, and then being like an ethical cheez mosa, 514 00:27:33,720 --> 00:27:35,320 Speaker 1: che's mosso, yeah, what have you? 515 00:27:36,040 --> 00:27:38,639 Speaker 2: And this episode, if you go back and listen to 516 00:27:38,720 --> 00:27:41,280 Speaker 2: the episode, we talk about this. But we recorded this 517 00:27:41,359 --> 00:27:44,399 Speaker 2: episode three times because the first two times it just 518 00:27:44,440 --> 00:27:45,160 Speaker 2: didn't record. 519 00:27:45,480 --> 00:27:48,399 Speaker 1: We're a baby producer. Yeah, weren't even calling ourselves producer. 520 00:27:48,600 --> 00:27:50,960 Speaker 2: Then no, it's just like we have a podcast. Yeah, 521 00:27:51,000 --> 00:27:55,000 Speaker 2: we're making a podcast. Rubin was very frustrating with us, 522 00:27:55,080 --> 00:27:57,480 Speaker 2: to say the least. Well, we got it done, and 523 00:27:57,520 --> 00:28:01,440 Speaker 2: that third episode was the best episode because we had 524 00:28:01,760 --> 00:28:05,679 Speaker 2: this opportunity over three recordings to develop this concept and 525 00:28:05,720 --> 00:28:08,359 Speaker 2: this idea which we now have been calling ethical cheese me. 526 00:28:08,880 --> 00:28:12,760 Speaker 2: So we were like making a distinction between a cheese 527 00:28:12,760 --> 00:28:15,760 Speaker 2: mosa and a methiche, right right, Like a cheez mosa 528 00:28:16,000 --> 00:28:19,800 Speaker 2: is a little bit innocuous, kind of harmless. It's a person, 529 00:28:19,960 --> 00:28:24,760 Speaker 2: usually a woman, a femme, who is gossiping or as 530 00:28:24,800 --> 00:28:27,399 Speaker 2: we like to call it, just sharing information, Yes, just 531 00:28:27,440 --> 00:28:31,679 Speaker 2: sharing information and spreading knowledge. And then a metthiche is 532 00:28:32,000 --> 00:28:35,800 Speaker 2: something else. It's somebody who is like sticking their nose 533 00:28:35,800 --> 00:28:39,360 Speaker 2: where it doesn't belong, is overhearing somebody else's conversation. We 534 00:28:39,600 --> 00:28:43,280 Speaker 2: likened the federal government to being a metthicha like tapping 535 00:28:43,360 --> 00:28:48,840 Speaker 2: phones and listening to our conversations and reading our mail 536 00:28:49,000 --> 00:28:51,760 Speaker 2: and all kinds of things. Right, So like methiche kind 537 00:28:51,800 --> 00:28:55,480 Speaker 2: of being about surveillance. Yes, so then we said, there's 538 00:28:55,520 --> 00:29:01,480 Speaker 2: this third thing, which is an ethical cheese man, and 539 00:29:01,680 --> 00:29:03,680 Speaker 2: we give examples of like what that could look like. 540 00:29:04,000 --> 00:29:06,959 Speaker 1: Yeah, one example we gave was like safety planning. You know, 541 00:29:07,040 --> 00:29:11,000 Speaker 1: if you know someone in your community is maybe a 542 00:29:11,040 --> 00:29:16,560 Speaker 1: predator or engaging in violent behavior, you share that information 543 00:29:16,920 --> 00:29:19,800 Speaker 1: with the people around you, right, And that's an example 544 00:29:19,840 --> 00:29:22,520 Speaker 1: of ethical cheatment. You're not like gossip being per se, 545 00:29:22,960 --> 00:29:25,640 Speaker 1: but it's a knowledge share. It's keeping each other safe, 546 00:29:25,640 --> 00:29:28,120 Speaker 1: it's keeping your community safe. And we talked about the 547 00:29:28,160 --> 00:29:33,400 Speaker 1: different ways women, fems, queer folks have used cheesement ethical 548 00:29:33,480 --> 00:29:35,200 Speaker 1: cheatment as a praxis. 549 00:29:35,560 --> 00:29:38,280 Speaker 2: Absolutely, And I think since then, like now when I 550 00:29:38,320 --> 00:29:40,800 Speaker 2: think of this concept, and I've been kind of reflecting 551 00:29:40,800 --> 00:29:45,160 Speaker 2: on this, and I think, actually, when I engage in 552 00:29:45,400 --> 00:29:48,240 Speaker 2: something that might be considered ethical cheesement, I feel like 553 00:29:48,280 --> 00:29:52,480 Speaker 2: more often than not, it's about like good things, yes, 554 00:29:52,720 --> 00:29:56,320 Speaker 2: like oh hey, like here's a resource, Yeah, here's a program, 555 00:29:56,400 --> 00:30:00,520 Speaker 2: here's an opportunity, here's a person to connect with, here's 556 00:30:01,000 --> 00:30:04,720 Speaker 2: something to try. Like it's I think on TikTok, what 557 00:30:04,880 --> 00:30:08,000 Speaker 2: people will I'm not gatekeeping, no gatekeeping, here's how I 558 00:30:08,080 --> 00:30:10,200 Speaker 2: do it, right, I think another way to look at 559 00:30:10,240 --> 00:30:12,840 Speaker 2: that would be like, this is a type of ethical cheesement. 560 00:30:13,440 --> 00:30:14,840 Speaker 2: You know, I'm giving you the low, I'm giving you 561 00:30:14,840 --> 00:30:17,120 Speaker 2: the skinny, I'm giving you the four one one. It 562 00:30:17,160 --> 00:30:20,040 Speaker 2: can also be kind of a resource share. 563 00:30:20,520 --> 00:30:23,000 Speaker 1: Yeah, I don't know. And I think at the at 564 00:30:23,000 --> 00:30:25,800 Speaker 1: the time, you know, twenty seventeen, you know, we're on 565 00:30:26,360 --> 00:30:29,560 Speaker 1: the very beginning of the Me too movement. We were 566 00:30:29,600 --> 00:30:32,720 Speaker 1: talking about survivors centered things, so we were I think 567 00:30:32,760 --> 00:30:36,880 Speaker 1: at that time, framing it as this safety planning. Right now, 568 00:30:37,640 --> 00:30:40,560 Speaker 1: seven years later, you know, we can see like, oh, 569 00:30:40,600 --> 00:30:43,760 Speaker 1: it's also resource sharing. It's also apply for this grant. 570 00:30:43,840 --> 00:30:47,360 Speaker 1: Look at this job. These people treat their workers really well. Yeah, 571 00:30:47,520 --> 00:30:50,960 Speaker 1: work here, you know, And so it's it's that And. 572 00:30:51,320 --> 00:30:55,400 Speaker 2: Yes, you know, the idea has evolved for us, and 573 00:30:56,640 --> 00:30:58,920 Speaker 2: it ties in too because I think one of the 574 00:30:58,960 --> 00:31:01,760 Speaker 2: best ways for for women to be safe is to 575 00:31:01,800 --> 00:31:06,360 Speaker 2: have resources. And so sometimes safety it's not so much 576 00:31:06,400 --> 00:31:11,840 Speaker 2: always getting away from a bad thing. It's often building 577 00:31:11,840 --> 00:31:15,120 Speaker 2: our foundations and assuring that we have our needs taken 578 00:31:15,200 --> 00:31:19,400 Speaker 2: care of so that we're not susceptible in different ways. Absolutely, 579 00:31:19,480 --> 00:31:21,840 Speaker 2: you know, and I think like it's just a different 580 00:31:21,920 --> 00:31:24,080 Speaker 2: approach to the same idea. You know. 581 00:31:24,680 --> 00:31:28,480 Speaker 1: Yeah, and I think we in a way stepped back 582 00:31:28,600 --> 00:31:31,760 Speaker 1: from talking about cheese meat because there were at the 583 00:31:31,800 --> 00:31:35,880 Speaker 1: time in the digital landscape in twenty seventeen, not that 584 00:31:35,920 --> 00:31:38,480 Speaker 1: many people were doing it. Now there's like a ton 585 00:31:38,520 --> 00:31:41,880 Speaker 1: of articles about you know, I saw one in Glamour. 586 00:31:42,040 --> 00:31:44,400 Speaker 1: Cheesemaus isn't just salon chair gossip. It's an act of 587 00:31:44,400 --> 00:31:48,920 Speaker 1: solidarity Refinery twenty nine. Cheese meut is, you know, has 588 00:31:49,240 --> 00:31:51,880 Speaker 1: a purpose, has a meaning, right, and there have been 589 00:31:51,920 --> 00:31:55,520 Speaker 1: scholars and writers that have written about cheese miss. So 590 00:31:55,600 --> 00:31:59,280 Speaker 1: I think whenever we start to see that something that 591 00:31:59,320 --> 00:32:01,840 Speaker 1: we talk about like a lot of traction, we like 592 00:32:01,960 --> 00:32:03,719 Speaker 1: to move on to something new because other people are 593 00:32:03,760 --> 00:32:04,240 Speaker 1: doing it too. 594 00:32:04,440 --> 00:32:04,880 Speaker 2: Totally. 595 00:32:05,840 --> 00:32:09,320 Speaker 1: But given that this is a podcast and we share 596 00:32:09,520 --> 00:32:12,680 Speaker 1: lots of knowledge and resources and everything, like or we're 597 00:32:12,680 --> 00:32:15,440 Speaker 1: going to bring back ethical cheesement for to wrap up 598 00:32:15,480 --> 00:32:16,000 Speaker 1: season eight. 599 00:32:16,360 --> 00:32:19,160 Speaker 2: Yeah, it's also a reminder we have the timestamp, honey, 600 00:32:19,200 --> 00:32:22,320 Speaker 2: twenty seventeen. Go back to your research. We were the 601 00:32:22,320 --> 00:32:26,000 Speaker 2: first ones. The term did not exist on the internet 602 00:32:26,480 --> 00:32:27,960 Speaker 2: before our episode, right. 603 00:32:28,000 --> 00:32:31,320 Speaker 1: At least not as ethical chreestment. And what you know, 604 00:32:31,360 --> 00:32:34,560 Speaker 1: when I'm prepping for this episode, there was a scholar 605 00:32:34,960 --> 00:32:38,960 Speaker 1: that was interviewed and she used ethical cheestement as a 606 00:32:39,000 --> 00:32:42,400 Speaker 1: way to talk about her grad school experience, and in 607 00:32:42,440 --> 00:32:46,400 Speaker 1: her interview, I was reading the transcript at least she says, Oh, 608 00:32:46,440 --> 00:32:49,440 Speaker 1: I first heard this on look at Ora Radio Boom 609 00:32:50,040 --> 00:32:52,959 Speaker 1: back in twenty seventeen, and it was they used ethical cheatment. 610 00:32:53,000 --> 00:32:55,080 Speaker 1: That was the first time I heard it. And that's 611 00:32:55,120 --> 00:32:57,560 Speaker 1: not the first time we've been cited and scholarly works, 612 00:32:57,600 --> 00:33:00,880 Speaker 1: which is obviously it's so exciting for me. I nerd 613 00:33:00,880 --> 00:33:01,520 Speaker 1: out on that. 614 00:33:01,480 --> 00:33:04,720 Speaker 2: It's happened many times. Actually at this we're in a 615 00:33:04,840 --> 00:33:06,480 Speaker 2: number of thesis papers. 616 00:33:06,640 --> 00:33:09,120 Speaker 1: Yeah, but I think it's exciting, you know, and we 617 00:33:09,240 --> 00:33:11,920 Speaker 1: like you know, also want to give us our own flowers, 618 00:33:11,960 --> 00:33:13,560 Speaker 1: you know, like, oh, yeah, we've been talking about this 619 00:33:13,600 --> 00:33:15,840 Speaker 1: for a long time, and we have more examples that 620 00:33:15,880 --> 00:33:16,800 Speaker 1: we're going to share today. 621 00:33:17,640 --> 00:33:20,480 Speaker 2: Yeah, these are just facts. The other term that we 622 00:33:20,600 --> 00:33:26,360 Speaker 2: coined literally episode number one is loka epistemologies, yes, which 623 00:33:26,360 --> 00:33:29,360 Speaker 2: has also been written about in an academic paper, which 624 00:33:29,920 --> 00:33:33,080 Speaker 2: in a dissertation, and a dissertation no less that is 625 00:33:33,080 --> 00:33:35,160 Speaker 2: on its way to maybe one day becoming a book. 626 00:33:35,480 --> 00:33:37,680 Speaker 2: So this is also why we talk about this because 627 00:33:38,040 --> 00:33:43,080 Speaker 2: we're inventing terminology, you know, and once it's published, we 628 00:33:43,120 --> 00:33:46,160 Speaker 2: have the copyright as a reminder. Once it's out there, 629 00:33:46,240 --> 00:33:48,360 Speaker 2: there's a timestep, there's a copyright. Happy to share. 630 00:33:49,320 --> 00:33:50,280 Speaker 1: Cite your sources. 631 00:33:50,400 --> 00:33:50,680 Speaker 3: Just know. 632 00:33:50,960 --> 00:33:54,040 Speaker 1: There's anything you've learned at LOKAA Radio, it's to always 633 00:33:54,040 --> 00:33:57,360 Speaker 1: cite your sources. Yeah, and give people their due. 634 00:33:57,640 --> 00:34:02,680 Speaker 2: Yeah, and we are owed. We are well. 635 00:34:02,760 --> 00:34:04,640 Speaker 1: I think, like one, you know, I don't want to 636 00:34:04,680 --> 00:34:07,800 Speaker 1: get too into the weeds about like my own family 637 00:34:08,440 --> 00:34:12,360 Speaker 1: history or cheese meat, but I think when thinking about 638 00:34:12,560 --> 00:34:16,440 Speaker 1: oral histories and our families, oral histories, you know, that 639 00:34:16,440 --> 00:34:19,279 Speaker 1: can also be considered cheese meent, like, I heard a 640 00:34:19,320 --> 00:34:22,879 Speaker 1: story from my mom the other day about a one 641 00:34:22,920 --> 00:34:28,080 Speaker 1: of her cousins that did something really awful to his father, right, no, yeah, 642 00:34:28,120 --> 00:34:30,080 Speaker 1: and so again I'm not getting into the weeds about 643 00:34:30,080 --> 00:34:33,200 Speaker 1: my family history and drama, right, but it did remind 644 00:34:33,239 --> 00:34:36,240 Speaker 1: me of this of this, like, oh, like this isn't 645 00:34:36,360 --> 00:34:38,720 Speaker 1: this is an example of oral history of family history. 646 00:34:38,760 --> 00:34:40,839 Speaker 1: And it's not like the positive kind, you know, it's 647 00:34:40,880 --> 00:34:44,520 Speaker 1: not like, oh, you know, we immigrated here and so 648 00:34:44,600 --> 00:34:46,680 Speaker 1: and so helped us and they gave us a room 649 00:34:46,719 --> 00:34:49,680 Speaker 1: to stay while we like got on our feet. It's like, oh, no, 650 00:34:49,800 --> 00:34:52,640 Speaker 1: this person did something really bad to their father, and 651 00:34:52,680 --> 00:34:54,920 Speaker 1: then they were kind of ostracized from the family because like, 652 00:34:54,920 --> 00:34:56,240 Speaker 1: why would you do that to your father? 653 00:34:56,480 --> 00:35:02,160 Speaker 3: Right, I'll tell you off the rec But I think 654 00:35:02,280 --> 00:35:05,000 Speaker 3: like that is another another way that we can think 655 00:35:05,040 --> 00:35:09,799 Speaker 3: about ethical treatment and oral history is like, sometimes there 656 00:35:09,840 --> 00:35:13,160 Speaker 3: are bad people in our families, and sometimes they're not 657 00:35:13,600 --> 00:35:15,880 Speaker 3: actually removed when they should be removed. 658 00:35:16,440 --> 00:35:19,759 Speaker 1: But the nos we know, like this person is not 659 00:35:19,800 --> 00:35:22,520 Speaker 1: someone you want to be around, and so I can 660 00:35:22,560 --> 00:35:25,200 Speaker 1: make the choice to not be around them. This kind 661 00:35:25,200 --> 00:35:28,240 Speaker 1: of ties into like latinx estrangement what she was saying, 662 00:35:28,680 --> 00:35:30,880 Speaker 1: We can choose who we want to be around and 663 00:35:30,880 --> 00:35:33,200 Speaker 1: who we don't want to be around. And I think 664 00:35:33,200 --> 00:35:35,319 Speaker 1: that that is another way that we keep each other 665 00:35:35,360 --> 00:35:38,520 Speaker 1: safe even within our families, is by sharing, like, oh, 666 00:35:38,560 --> 00:35:41,640 Speaker 1: so and so is an unsafe person, or so and 667 00:35:41,640 --> 00:35:45,440 Speaker 1: soul stole money from this person, so don't let them 668 00:35:45,440 --> 00:35:50,640 Speaker 1: money you will back, right, And so it's like even 669 00:35:50,760 --> 00:35:55,120 Speaker 1: in our little you know, ecosystems of family like keeping 670 00:35:55,160 --> 00:35:57,560 Speaker 1: each other safe from the families sometimes and the only 671 00:35:57,600 --> 00:36:01,000 Speaker 1: way to like really know is through that oral history, right, 672 00:36:01,040 --> 00:36:03,560 Speaker 1: Because it's not going to be written down. It's the cheesement. 673 00:36:03,600 --> 00:36:05,399 Speaker 1: It's the family cheesement, right. 674 00:36:05,840 --> 00:36:08,920 Speaker 2: I mean there have been also Okay, so a few 675 00:36:08,960 --> 00:36:11,600 Speaker 2: years ago this article came out and I want to 676 00:36:11,600 --> 00:36:14,239 Speaker 2: say it was in the La Times. But there was 677 00:36:14,280 --> 00:36:17,800 Speaker 2: this English teacher who got hired at my high school. 678 00:36:17,800 --> 00:36:20,520 Speaker 2: I had already been graduated several years ou already, but 679 00:36:20,680 --> 00:36:23,160 Speaker 2: this English teacher had been hired at my high school. 680 00:36:23,760 --> 00:36:26,520 Speaker 2: And then there was like some weird behavior with this guy, 681 00:36:26,680 --> 00:36:28,840 Speaker 2: kind of being like too friendly and cosying up to 682 00:36:28,880 --> 00:36:31,920 Speaker 2: the girls, of course, and then come to find that 683 00:36:31,960 --> 00:36:36,800 Speaker 2: this guy, this teacher had worked at another like school, 684 00:36:36,840 --> 00:36:38,960 Speaker 2: but it was a girls' school and had a history 685 00:36:39,000 --> 00:36:45,800 Speaker 2: of forming inappropriate like emotional relationships with his female students. Now, 686 00:36:46,080 --> 00:36:49,160 Speaker 2: one of the issues with things like background checks is 687 00:36:49,200 --> 00:36:52,000 Speaker 2: a background check is going to only pick up certain things, right, 688 00:36:52,239 --> 00:36:55,400 Speaker 2: like if you have been arrested sometimes depending on the 689 00:36:55,440 --> 00:36:58,480 Speaker 2: type of background check, if there's an arrest record, or 690 00:36:58,520 --> 00:37:01,760 Speaker 2: if you've actually been convicted of something. And the number 691 00:37:01,800 --> 00:37:05,440 Speaker 2: of predators who are actually convicted is very, very very tiny, 692 00:37:05,880 --> 00:37:09,759 Speaker 2: so most predators are going to pass a background check, yes, 693 00:37:10,120 --> 00:37:12,880 Speaker 2: And a guy like that, with that type of behavior 694 00:37:13,160 --> 00:37:17,400 Speaker 2: that doesn't necessarily cross into criminality is not going to 695 00:37:17,480 --> 00:37:19,799 Speaker 2: raise red flags through a background check. 696 00:37:20,239 --> 00:37:23,600 Speaker 1: I also had that conversation with a journalist friend of 697 00:37:23,640 --> 00:37:27,120 Speaker 1: mine too, because they were talking about Title nine and 698 00:37:27,280 --> 00:37:30,400 Speaker 1: how in some cases Title nine just stays at the 699 00:37:30,480 --> 00:37:36,359 Speaker 1: university level and because it's closed and private, if there's 700 00:37:36,440 --> 00:37:40,600 Speaker 1: not like a there's not like a proceeding, right, then 701 00:37:40,760 --> 00:37:43,680 Speaker 1: it's not public information to the students that this professor 702 00:37:43,760 --> 00:37:46,360 Speaker 1: has like a Title nine allegation against them, and so 703 00:37:46,480 --> 00:37:49,680 Speaker 1: in that way, no one is really safe, right. And 704 00:37:49,760 --> 00:37:51,400 Speaker 1: so they were telling me like, well, this is a 705 00:37:51,440 --> 00:37:55,960 Speaker 1: problem because I have a Title nine accusation against this person, 706 00:37:56,480 --> 00:38:00,000 Speaker 1: but nobody else knows, and I can't really talk about it, 707 00:38:00,040 --> 00:38:01,799 Speaker 1: and I don't know if they have other Title Knight 708 00:38:01,880 --> 00:38:05,080 Speaker 1: allegations against them, And so exactly what you're saying, like, 709 00:38:05,160 --> 00:38:08,480 Speaker 1: unless there's like an arrest record, you're not going to know, no. 710 00:38:08,719 --> 00:38:11,120 Speaker 2: And so you know, somebody like that can very easily 711 00:38:11,160 --> 00:38:13,440 Speaker 2: slip through those cracks and get rehired and rehired and 712 00:38:13,480 --> 00:38:16,920 Speaker 2: rehired at schools. So that's what happened here, But it 713 00:38:16,960 --> 00:38:20,280 Speaker 2: was only because there was a word of mouth between 714 00:38:21,080 --> 00:38:25,360 Speaker 2: former students at the old school, parents, faculty, the word 715 00:38:25,520 --> 00:38:28,799 Speaker 2: got out, right, and then that's when I don't know, 716 00:38:28,800 --> 00:38:30,840 Speaker 2: they tip something off to a journalist. There was a 717 00:38:30,880 --> 00:38:33,040 Speaker 2: write up in the paper. It was a whole thing, right, 718 00:38:33,080 --> 00:38:36,359 Speaker 2: But I see that. I think those situations are where 719 00:38:36,400 --> 00:38:39,160 Speaker 2: you'll see an ethical cheesema, you know, like, oh, this 720 00:38:39,280 --> 00:38:42,360 Speaker 2: guy has never been arrested, he's never been charged, but 721 00:38:42,800 --> 00:38:45,759 Speaker 2: just know that he has this pattern, right. You know. 722 00:38:46,440 --> 00:38:51,319 Speaker 2: There was another example right before the pandemic. Actually, I 723 00:38:51,440 --> 00:38:55,520 Speaker 2: was working at this all girls school in Pasadena. In January, 724 00:38:56,480 --> 00:38:58,640 Speaker 2: like right after we got back from winter break, they 725 00:38:58,680 --> 00:39:01,719 Speaker 2: had like an all staff faculty meeting, and the head 726 00:39:01,719 --> 00:39:07,840 Speaker 2: of the upper school was like, you guys, faculty prepare 727 00:39:07,960 --> 00:39:11,800 Speaker 2: lesson plans for remote learning because we have a parent 728 00:39:11,840 --> 00:39:15,480 Speaker 2: who works at the Pasadena Department of Public Health who 729 00:39:15,520 --> 00:39:20,839 Speaker 2: has received word that there is an oncoming pandemic and 730 00:39:20,920 --> 00:39:23,520 Speaker 2: everything is going to get shut down, So you guys 731 00:39:23,560 --> 00:39:27,479 Speaker 2: need to be prepared to like go home and teach 732 00:39:27,520 --> 00:39:31,360 Speaker 2: from home with like maybe a week's notice. But they 733 00:39:31,480 --> 00:39:33,759 Speaker 2: let us know in January, so they had more than 734 00:39:33,760 --> 00:39:36,880 Speaker 2: a week, right, because then things shut down when in 735 00:39:36,920 --> 00:39:41,440 Speaker 2: March March, So that day I went home and my 736 00:39:41,480 --> 00:39:43,960 Speaker 2: mom is a teacher, but at like a predominantly Latino 737 00:39:44,000 --> 00:39:47,240 Speaker 2: school in Montapello. I was like, Mom, these white people 738 00:39:47,280 --> 00:39:49,400 Speaker 2: know something that none of us know, and they just 739 00:39:49,480 --> 00:39:53,240 Speaker 2: told us, you know, and they're saying a pandemic is coming, 740 00:39:53,280 --> 00:39:56,920 Speaker 2: and they're asking all the teachers to prepare lesson plans. Now, 741 00:39:57,000 --> 00:39:59,359 Speaker 2: this is the type of school that is not going 742 00:39:59,440 --> 00:40:02,719 Speaker 2: to do something like that unless it's actually happening, you know. 743 00:40:03,480 --> 00:40:04,880 Speaker 2: And I went and I told my mom and she 744 00:40:04,960 --> 00:40:07,200 Speaker 2: was like, oh my god. And then my mom went 745 00:40:07,360 --> 00:40:10,760 Speaker 2: and told her faculty, her other teachers, and they started 746 00:40:10,760 --> 00:40:13,799 Speaker 2: making their lesson plan copies and they started preparing, and 747 00:40:13,840 --> 00:40:16,919 Speaker 2: then of course, like March, here comes a pandemic, we're 748 00:40:16,920 --> 00:40:19,480 Speaker 2: shut in. So I took that as an example of 749 00:40:19,520 --> 00:40:22,879 Speaker 2: me engaging in ethical cheese mess for the greater good, 750 00:40:22,920 --> 00:40:26,040 Speaker 2: for the children, for the child child, for the children 751 00:40:26,040 --> 00:40:29,680 Speaker 2: and Monabella, for their futures. So yeah, go Meme, go you. 752 00:40:32,680 --> 00:40:36,960 Speaker 1: Go, cu Mala stars tens across the board. 753 00:40:37,040 --> 00:40:43,279 Speaker 2: Thank you. I do it. I can so Yeah. I mean, 754 00:40:43,440 --> 00:40:48,760 Speaker 2: do you have now new evolved thoughts or examples experiences 755 00:40:49,520 --> 00:40:52,279 Speaker 2: since twenty seventeen involving ethical cheese? 756 00:40:52,480 --> 00:40:55,080 Speaker 1: Yeah? I mean for me, I think my big one 757 00:40:55,120 --> 00:40:57,359 Speaker 1: has one that I'm not ready to talk about, okay, fair, 758 00:40:57,440 --> 00:41:00,000 Speaker 1: And so when I was in grad school, my thesis 759 00:41:00,239 --> 00:41:03,080 Speaker 1: I think was a form of ethical cheese meent, and 760 00:41:03,200 --> 00:41:06,279 Speaker 1: it's something that I'm my thesis I'm adapting into like 761 00:41:06,280 --> 00:41:08,560 Speaker 1: a bigger project. And so, which is why I don't 762 00:41:08,560 --> 00:41:10,960 Speaker 1: want to talk about it just yet. But I think, 763 00:41:11,000 --> 00:41:13,360 Speaker 1: going back to what I said about family histories, like, 764 00:41:13,440 --> 00:41:17,960 Speaker 1: I think our family histories, obviously we know they're personal. 765 00:41:18,560 --> 00:41:20,919 Speaker 1: They can be a part of oral history, our own 766 00:41:21,040 --> 00:41:24,200 Speaker 1: oral history and how we pass down traditions and knowledge. 767 00:41:24,520 --> 00:41:28,040 Speaker 1: But there's also this thing in the Latino LATINX community 768 00:41:28,520 --> 00:41:30,400 Speaker 1: where there's like lots of secrets. 769 00:41:30,640 --> 00:41:32,640 Speaker 2: Oh yeah, we love a good sect, We love. 770 00:41:32,800 --> 00:41:37,879 Speaker 1: A good secret, secrets that are harmful, secrets that are 771 00:41:38,160 --> 00:41:43,640 Speaker 1: like scandalous, salacious, harmful, what have you. And so I 772 00:41:43,719 --> 00:41:46,600 Speaker 1: think that the project that I'm working on that will 773 00:41:46,600 --> 00:41:49,880 Speaker 1: hopefully see the light of day sometime this year or 774 00:41:49,960 --> 00:41:52,440 Speaker 1: next year, is a form of ethical cheesement. 775 00:41:52,640 --> 00:41:52,960 Speaker 2: Yeah. 776 00:41:53,000 --> 00:41:57,120 Speaker 1: And it's a form of you know, really looking at 777 00:41:57,480 --> 00:42:00,720 Speaker 1: my family as an as an example, as a case study, 778 00:42:00,920 --> 00:42:04,560 Speaker 1: but looking at it within the context of a larger 779 00:42:06,120 --> 00:42:09,880 Speaker 1: phenomenon in the Latino LATINX community and so to be determined. 780 00:42:09,920 --> 00:42:12,080 Speaker 1: I hate to be cryptic. I'm so sorry, but I 781 00:42:12,120 --> 00:42:14,240 Speaker 1: think that there are because there's a lot of secrets 782 00:42:14,280 --> 00:42:16,839 Speaker 1: and you can think of whatever secret your family may 783 00:42:16,880 --> 00:42:19,360 Speaker 1: have and think about, well, why don't they want anybody 784 00:42:19,360 --> 00:42:23,440 Speaker 1: to know this? And so I think in unleashing the 785 00:42:23,520 --> 00:42:26,120 Speaker 1: secrets in an ethical way, right, not in a way 786 00:42:26,160 --> 00:42:31,680 Speaker 1: that's gonna harm anybody and like implicate someone or maybe 787 00:42:32,160 --> 00:42:35,920 Speaker 1: I don't know, but I think that by setting the 788 00:42:36,000 --> 00:42:39,239 Speaker 1: secrets free, we're also letting go of shame, and I 789 00:42:39,239 --> 00:42:42,880 Speaker 1: think that that is a part of using ethical tetementth. 790 00:42:44,000 --> 00:42:46,640 Speaker 2: Yeah, I mean, I feel like the project that you 791 00:42:46,680 --> 00:42:51,560 Speaker 2: are describing is perfectly encapsulates the concept. You guys are 792 00:42:51,560 --> 00:42:54,160 Speaker 2: gonna love it. You guys are gonna love it. I'm 793 00:42:54,200 --> 00:42:56,080 Speaker 2: so sorry for you guys. If you don't know what 794 00:42:56,160 --> 00:42:59,440 Speaker 2: it is, I hope you're jealous of me because I 795 00:42:59,480 --> 00:42:59,960 Speaker 2: know what it is. 796 00:43:00,080 --> 00:43:03,799 Speaker 1: Malin knows all my secrets, yes she does, yes, yes, yes, yes, 797 00:43:03,840 --> 00:43:06,320 Speaker 1: and one day you will also know all of my secrets. 798 00:43:06,320 --> 00:43:08,279 Speaker 2: They're good, yeah, they're good ones. 799 00:43:11,120 --> 00:43:13,239 Speaker 1: But yeah, I like going back to what you said. 800 00:43:13,400 --> 00:43:15,920 Speaker 1: I like what you said of like expanding on like 801 00:43:17,120 --> 00:43:20,160 Speaker 1: the knowledge share as ethical chietment and like resource sharing 802 00:43:20,280 --> 00:43:24,680 Speaker 1: as ethical chietment. Because I think like pandemic of I mean, 803 00:43:25,000 --> 00:43:27,640 Speaker 1: having lived through the pandemic and the ongoing pandemic, that's 804 00:43:27,680 --> 00:43:31,280 Speaker 1: I guess now an endemic of seeing like the mutual 805 00:43:31,320 --> 00:43:37,120 Speaker 1: aids of seeing people just really pull their resources together. Yes, 806 00:43:37,719 --> 00:43:41,960 Speaker 1: thinking about how businesses were like applying to different grants 807 00:43:42,040 --> 00:43:45,040 Speaker 1: to like keep their business aflow, like all that resource sharing. 808 00:43:45,080 --> 00:43:47,520 Speaker 1: That's like really hard to also navigate because there's a 809 00:43:47,560 --> 00:43:51,160 Speaker 1: lot of bureaucracy involved, and so when you have someone 810 00:43:51,440 --> 00:43:53,440 Speaker 1: that's like willing to like walk you through that process. 811 00:43:53,480 --> 00:43:57,360 Speaker 1: I'm thinking mainly during the pandemic, right of like the 812 00:43:57,400 --> 00:43:59,560 Speaker 1: small little like nobody knows this, but we applied for 813 00:43:59,600 --> 00:44:02,480 Speaker 1: a PP loan. Yes, it was a very small loan. 814 00:44:03,080 --> 00:44:05,280 Speaker 1: And the reason that we applied, I mean we applied 815 00:44:05,280 --> 00:44:07,200 Speaker 1: for it because we needed it because we were traveling 816 00:44:07,239 --> 00:44:10,160 Speaker 1: a lot. But the reason that we were able to 817 00:44:10,239 --> 00:44:13,640 Speaker 1: apply for it and get it was because my best friend, 818 00:44:14,360 --> 00:44:17,800 Speaker 1: her mother is a realtor and used to work in banking, 819 00:44:17,880 --> 00:44:20,120 Speaker 1: and so she knew how to like do all those 820 00:44:20,160 --> 00:44:22,640 Speaker 1: documents and so she did it for us, you know, 821 00:44:22,719 --> 00:44:26,200 Speaker 1: for a small fee, and we were able to like 822 00:44:26,239 --> 00:44:28,200 Speaker 1: pay ourselves a little something and that helped me pay 823 00:44:28,200 --> 00:44:30,400 Speaker 1: the mortgage, you know, And like that's I think is 824 00:44:30,440 --> 00:44:32,680 Speaker 1: another form of like resource sharing that we did during 825 00:44:32,719 --> 00:44:33,280 Speaker 1: the pandemic. 826 00:44:33,360 --> 00:44:36,880 Speaker 2: Oh one, it was so helpful. And you know, I 827 00:44:36,880 --> 00:44:40,279 Speaker 2: don't think that we were really considering that for ourselves. 828 00:44:40,520 --> 00:44:41,719 Speaker 1: No, we wouldn't. We wouldn't have. 829 00:44:41,880 --> 00:44:43,960 Speaker 2: Until she brought it up to us because at the. 830 00:44:43,920 --> 00:44:47,120 Speaker 1: Time we were just we were freelancers, independent contractors. We 831 00:44:47,160 --> 00:44:50,839 Speaker 1: didn't have an LLC, right, Like, we didn't really have 832 00:44:51,280 --> 00:44:54,839 Speaker 1: the income to apply for a PPP loan the way 833 00:44:54,880 --> 00:44:58,040 Speaker 1: like other businesses did, but we did have a little something. 834 00:44:58,160 --> 00:45:00,480 Speaker 1: So we did get a little something and then we 835 00:45:00,520 --> 00:45:03,200 Speaker 1: got it forgiven because we had someone that was able 836 00:45:03,440 --> 00:45:07,720 Speaker 1: to like save your receipts, submit them to me. Yes, 837 00:45:07,800 --> 00:45:10,520 Speaker 1: I will submit them for you, like all that bureaucracy 838 00:45:10,560 --> 00:45:14,680 Speaker 1: that can really overwhelm me or overwhelm you. So having 839 00:45:14,680 --> 00:45:16,879 Speaker 1: someone help us with that, I think was another way 840 00:45:16,920 --> 00:45:18,640 Speaker 1: of like like you're saying that resource sharing. 841 00:45:18,880 --> 00:45:21,320 Speaker 2: Yeah, even like the referrals we've gotten over the years 842 00:45:21,360 --> 00:45:23,839 Speaker 2: for our attorney, for our accountant, et cetera, et cetera, 843 00:45:23,880 --> 00:45:27,240 Speaker 2: et cetera, like where would we have found our attorney, 844 00:45:27,960 --> 00:45:30,960 Speaker 2: Like not with the Google search, right, you know, like 845 00:45:31,040 --> 00:45:32,799 Speaker 2: we would not have been able to find him on 846 00:45:32,840 --> 00:45:36,000 Speaker 2: our own. No, somebody else had to share the information 847 00:45:36,080 --> 00:45:38,080 Speaker 2: with us. They had to decide like Okay, I'm going 848 00:45:38,120 --> 00:45:41,480 Speaker 2: to give them this this nugget, yes, you know, and 849 00:45:41,560 --> 00:45:44,480 Speaker 2: it was a gold nugget. It was a gold nugget. 850 00:45:44,600 --> 00:45:49,360 Speaker 2: It was Sometimes they're dirt rocks, but sometimes they're gold. 851 00:45:50,560 --> 00:45:52,520 Speaker 2: So that's something also to look out for. It's like, 852 00:45:52,640 --> 00:45:54,759 Speaker 2: not all cheese nut is at that goal. 853 00:45:55,040 --> 00:45:57,840 Speaker 1: Yeah, but some of it is, but some of us, 854 00:45:57,880 --> 00:46:01,320 Speaker 1: some of it is, some of it is, yes, yes, yeah, 855 00:46:01,360 --> 00:46:06,880 Speaker 1: Well I think that we continue to engage in ethical 856 00:46:06,920 --> 00:46:10,680 Speaker 1: cheese me through the podcast and look up histemologies. I 857 00:46:10,680 --> 00:46:13,800 Speaker 1: think obviously the entire podcast is look up histemologies. We 858 00:46:13,880 --> 00:46:15,799 Speaker 1: don't even have to call it that. That's literally just 859 00:46:15,840 --> 00:46:19,600 Speaker 1: what Loka thought our radio is. But yeah, I love 860 00:46:19,680 --> 00:46:23,719 Speaker 1: to see like people talking about cheeseman reframing it and 861 00:46:23,760 --> 00:46:27,400 Speaker 1: like really thinking about the way. Like whenever anything is 862 00:46:27,400 --> 00:46:32,600 Speaker 1: like relegated like feminine or too, like that's like there's 863 00:46:32,640 --> 00:46:35,520 Speaker 1: obviously there's negative connotation to it. So I love that 864 00:46:35,560 --> 00:46:38,680 Speaker 1: people have like reclaimed cheesemut. Yeah, and they use it 865 00:46:38,719 --> 00:46:40,319 Speaker 1: in their own way. There's a lot of projects called 866 00:46:40,400 --> 00:46:41,120 Speaker 1: cheesema now. 867 00:46:41,000 --> 00:46:41,640 Speaker 2: Which is cool. 868 00:46:41,840 --> 00:46:45,160 Speaker 1: Yes, yes, yes, but yeah, I mean, you know, we 869 00:46:45,200 --> 00:46:48,640 Speaker 1: talked about ethical cheesement back in twenty seventeen, so go us. 870 00:46:48,680 --> 00:46:52,680 Speaker 2: Go us. I wonder too, with the the that it's 871 00:46:52,920 --> 00:46:57,040 Speaker 2: not so recent anymore. But the viral Kat Williams interview 872 00:46:57,080 --> 00:47:00,400 Speaker 2: on the Shannon Sharp podcast, Right, Kat Williams was dropping 873 00:47:00,480 --> 00:47:02,840 Speaker 2: so many stories and like facts and so much information. 874 00:47:03,640 --> 00:47:05,520 Speaker 2: There were some moments where I was like, okay, Cat, 875 00:47:05,560 --> 00:47:08,440 Speaker 2: you were eleven, you read five thousand books in a year. Okay. 876 00:47:08,600 --> 00:47:10,600 Speaker 2: There's little things where I'm like, all right, you know, 877 00:47:10,719 --> 00:47:16,240 Speaker 2: but embellishing, you're melting. But there was so much buzz 878 00:47:16,280 --> 00:47:20,920 Speaker 2: around his interview and people sharing clips and other comedians 879 00:47:21,480 --> 00:47:26,640 Speaker 2: coming in and saying, he's telling the truth, this is 880 00:47:26,640 --> 00:47:30,360 Speaker 2: what happened, this is the backstory. He's dropping gems here, 881 00:47:30,640 --> 00:47:32,520 Speaker 2: you know. And so I think sometimes somebody like a 882 00:47:32,600 --> 00:47:36,080 Speaker 2: Cat Williams will come out with an explosive interview and 883 00:47:36,120 --> 00:47:42,200 Speaker 2: some like insider knowledge, some behind the scenes stuff, you know, 884 00:47:42,920 --> 00:47:46,520 Speaker 2: and I find that also be like an example of this. 885 00:47:46,800 --> 00:47:49,560 Speaker 1: Yeah you know, yeah, I mean we haven't even talked about. 886 00:47:49,600 --> 00:47:52,000 Speaker 1: Just to wrap up the conversation, you know, with some 887 00:47:52,160 --> 00:47:57,040 Speaker 1: macro examples, like the whistleblowers of the La Fed tapes. 888 00:47:57,520 --> 00:48:01,879 Speaker 1: You know, when the most powerful Latinos in La La 889 00:48:01,960 --> 00:48:08,839 Speaker 1: City Council were caught jerrymandering, being racist, being anti indigenous 890 00:48:09,160 --> 00:48:12,719 Speaker 1: in in one room and that was leaked, you know, 891 00:48:12,800 --> 00:48:15,399 Speaker 1: back in twenty twenty two. So I think, like that's 892 00:48:15,440 --> 00:48:18,799 Speaker 1: an example of ethical cheatment. I think the person that 893 00:48:18,960 --> 00:48:24,280 Speaker 1: leaked the Supreme Court Row versus Wade draft was engaging 894 00:48:24,280 --> 00:48:26,680 Speaker 1: in ethical chievement. They were a whistleblower. I think Wilson 895 00:48:26,719 --> 00:48:28,520 Speaker 1: whistleblowing is ethical cheesement. 896 00:48:28,719 --> 00:48:31,920 Speaker 2: Yeah, And I think back in the day at the time, 897 00:48:33,080 --> 00:48:39,200 Speaker 2: we cited a couple people as engaging in ethical cheesement, 898 00:48:39,280 --> 00:48:41,080 Speaker 2: and I want to say one of them was was 899 00:48:41,120 --> 00:48:46,600 Speaker 2: her name, Jennifer Fry, who was the mistress of Scott Peterson, Yes, 900 00:48:46,840 --> 00:48:49,319 Speaker 2: who like came forward and blew the whole case up 901 00:48:49,360 --> 00:48:51,680 Speaker 2: and was like, I've it was him. 902 00:48:51,800 --> 00:48:55,439 Speaker 1: I think that was actually our episode of Oh we. 903 00:48:55,320 --> 00:48:57,799 Speaker 2: Were talking, well, we were talking about how mistresses have 904 00:48:57,920 --> 00:49:01,080 Speaker 2: engaged in ethical cheese men, okay, And so Jennifer Fry 905 00:49:01,239 --> 00:49:02,200 Speaker 2: was one of those examples. 906 00:49:02,280 --> 00:49:03,840 Speaker 1: Yes, yes, yes, yes, yes yes. 907 00:49:04,480 --> 00:49:07,239 Speaker 2: Monica Luincy I think also made that episode also did. 908 00:49:07,280 --> 00:49:11,360 Speaker 2: According to Wikipedia, her father is Bernard Lewinsky, an oncologist 909 00:49:11,440 --> 00:49:13,799 Speaker 2: who is the son of German Jews who escaped from 910 00:49:13,840 --> 00:49:16,560 Speaker 2: Nazi Germany, first moving to El Salvador, finally to the 911 00:49:16,640 --> 00:49:19,120 Speaker 2: United States when he was fourteen. So they had a 912 00:49:19,200 --> 00:49:25,640 Speaker 2: stop in El Salvador. Yes, but I personally, I'm gonna 913 00:49:25,680 --> 00:49:27,520 Speaker 2: hold Monica stop it. 914 00:49:27,600 --> 00:49:32,080 Speaker 1: I remember you actually saying Monica episode as a Latina icon. 915 00:49:33,320 --> 00:49:35,640 Speaker 2: I do not so, but she was in that episode. 916 00:49:35,680 --> 00:49:37,719 Speaker 2: She was, and we talked about how she also was 917 00:49:37,719 --> 00:49:41,080 Speaker 2: engaging in an ethical cheesema about good old slick willy 918 00:49:41,160 --> 00:49:47,640 Speaker 2: Bill Clinton. Lord that man. My mom loves Bill Clinton 919 00:49:47,760 --> 00:49:48,319 Speaker 2: to this day. 920 00:49:48,840 --> 00:49:51,160 Speaker 1: The Latinos love Bill c love Bill Clinton. They do. 921 00:49:51,239 --> 00:49:52,960 Speaker 1: They love Bill Clinton, especially the boomers. 922 00:49:53,040 --> 00:49:57,120 Speaker 2: Yes, they love Bill Clinton. Yes, it's the saxophone. It's 923 00:49:57,120 --> 00:50:00,319 Speaker 2: the saxophone. People love like a cool like a cool present, 924 00:50:00,480 --> 00:50:00,680 Speaker 2: you know. 925 00:50:02,280 --> 00:50:04,880 Speaker 1: Yeah, anyway, forget about the war crimes, you know, I 926 00:50:04,960 --> 00:50:06,000 Speaker 1: mean it's cool. 927 00:50:06,120 --> 00:50:10,040 Speaker 2: I mean yeah, I mean yeah. 928 00:50:10,080 --> 00:50:15,160 Speaker 1: Anyway. Well, this has been another episode of Look at Radio. 929 00:50:15,600 --> 00:50:19,399 Speaker 1: Thank you for tuning in to the entire season two 930 00:50:19,480 --> 00:50:22,319 Speaker 1: past seasons. Thank you for keeping up with us year 931 00:50:22,320 --> 00:50:25,759 Speaker 1: after year. This has been an incredible season and we 932 00:50:25,800 --> 00:50:27,400 Speaker 1: hope you'll come back next season. 933 00:50:28,280 --> 00:50:34,880 Speaker 2: Until next time, those Loka Radio. A radio fun Novela 934 00:50:35,040 --> 00:50:39,040 Speaker 2: is executive produced and hosted by Me Mala Munos and Viosa. 935 00:50:38,560 --> 00:50:41,760 Speaker 1: Fem Story editing by Me Diosa. 936 00:50:41,160 --> 00:50:42,760 Speaker 2: Audio editing by Stephanie Franco. 937 00:50:42,960 --> 00:50:45,279 Speaker 1: Thank you to our locomotives, our listeners for all of 938 00:50:45,280 --> 00:50:49,560 Speaker 1: your supports. 939 00:50:59,239 --> 00:51:03,880 Speaker 2: A Radio fun ig Nobela hosted by Mala Munyas and 940 00:51:04,040 --> 00:51:49,400 Speaker 2: the ASAF Fan. Take us to your network