1 00:00:03,760 --> 00:00:07,360 Speaker 1: Lok at Our Radio is a radiophonic novela, which. 2 00:00:07,160 --> 00:00:10,360 Speaker 2: Is just a very extra way of saying a podcast. 3 00:00:11,000 --> 00:00:12,280 Speaker 1: I'm fiosa fem. 4 00:00:12,320 --> 00:00:15,920 Speaker 2: And I am Ma la Munos. We're podcasting through another 5 00:00:16,079 --> 00:00:19,840 Speaker 2: Trump election year. We've been podcasting through election years, a 6 00:00:19,880 --> 00:00:23,600 Speaker 2: global pandemic, civic unrest, political controversies, the Me Too movement, 7 00:00:23,600 --> 00:00:26,200 Speaker 2: the rise of TikTok, and we are still here. We're 8 00:00:26,239 --> 00:00:27,680 Speaker 2: not done telling stories. 9 00:00:27,920 --> 00:00:32,280 Speaker 1: We're still making podcasts. We're older, we're wiser, We're even 10 00:00:32,320 --> 00:00:35,360 Speaker 1: podcasting through a new decade of our lives. 11 00:00:35,960 --> 00:00:39,640 Speaker 2: Since twenty sixteen, we've been making locat our Radio independently 12 00:00:40,200 --> 00:00:44,239 Speaker 2: until we joined iHeartMedia's Michael Dura Network in twenty twenty two. 13 00:00:44,960 --> 00:00:47,640 Speaker 1: From our Lips to your Ears, fall in love with 14 00:00:47,680 --> 00:00:50,159 Speaker 1: Loka to a radio like you never have before. 15 00:00:50,680 --> 00:00:53,640 Speaker 2: Welcome to Season nine. Love that first. 16 00:00:53,400 --> 00:01:01,040 Speaker 1: Listen, Olao la Loka Motes. Welcome to Season nine of 17 00:01:01,120 --> 00:01:02,160 Speaker 1: lok at Dora Radio. 18 00:01:02,400 --> 00:01:04,360 Speaker 2: I'm the Osa and I'm Mala. 19 00:01:04,760 --> 00:01:07,959 Speaker 1: Lok at Dora Radio is a podcast dedicated to archiving 20 00:01:08,000 --> 00:01:11,720 Speaker 1: our present and shifting the culture forward. You're tuning in 21 00:01:11,760 --> 00:01:14,960 Speaker 1: to Capitroro cientos Kinze two fifteen. 22 00:01:15,440 --> 00:01:18,840 Speaker 2: Last Time on LOCATORA Radio, we interviewed Linda Garcia, who 23 00:01:18,880 --> 00:01:22,120 Speaker 2: is running uncontested in the upcoming November election for the 24 00:01:22,120 --> 00:01:25,120 Speaker 2: office of Texas State rep for District one oh seven. 25 00:01:25,280 --> 00:01:27,920 Speaker 3: Could see that I had been doing the work, and 26 00:01:27,959 --> 00:01:31,160 Speaker 3: so the work means that I had been taking steps 27 00:01:31,200 --> 00:01:36,760 Speaker 3: to work with our community and shift current circumstances in 28 00:01:36,800 --> 00:01:39,560 Speaker 3: our community. And so for a lot of people, that 29 00:01:39,840 --> 00:01:42,160 Speaker 3: is what a public servant does. 30 00:01:42,280 --> 00:01:44,560 Speaker 2: That is what she is slated to be sworn in 31 00:01:44,800 --> 00:01:48,480 Speaker 2: January twenty twenty four. It is a really juicy, informative interview, 32 00:01:48,520 --> 00:01:50,920 Speaker 2: so make sure you tune in, leave a comment, subscribe, 33 00:01:50,960 --> 00:01:51,919 Speaker 2: and share with a friend. 34 00:01:52,240 --> 00:01:55,680 Speaker 1: So how are you doing, Mala, Oh, I'm doing really well. 35 00:01:56,000 --> 00:01:57,120 Speaker 1: Why are you doing really well? 36 00:01:57,160 --> 00:02:00,040 Speaker 2: For a variety of reasons, life is just to go 37 00:02:00,200 --> 00:02:03,840 Speaker 2: my way right now. I'm really like my lucky Girl 38 00:02:03,880 --> 00:02:07,080 Speaker 2: syndrome is at its peak. I think in these moments, 39 00:02:07,280 --> 00:02:09,480 Speaker 2: school is going well. There are like some fun things 40 00:02:09,520 --> 00:02:12,000 Speaker 2: happening on the personal front that I will not divulge. 41 00:02:12,000 --> 00:02:15,640 Speaker 2: You know what's going on. And you know, we have 42 00:02:15,680 --> 00:02:18,600 Speaker 2: our two weekly shows and now we're like very much 43 00:02:18,720 --> 00:02:22,160 Speaker 2: underway with Senora sex Ed, which is super exciting, especially 44 00:02:22,160 --> 00:02:24,400 Speaker 2: because it's been years in the making. 45 00:02:24,960 --> 00:02:28,800 Speaker 1: Yeah, we have five episodes out so far, five episodes 46 00:02:28,880 --> 00:02:33,880 Speaker 1: of a thirty episode season, and we just have been 47 00:02:34,000 --> 00:02:37,440 Speaker 1: fully in production for a while now, and so it's 48 00:02:37,520 --> 00:02:41,160 Speaker 1: really fun to be putting out the episodes finally and 49 00:02:41,240 --> 00:02:43,800 Speaker 1: also to be booking the new guest as well. 50 00:02:44,320 --> 00:02:48,000 Speaker 2: And we haven't launched a brand new original show that 51 00:02:48,080 --> 00:02:52,040 Speaker 2: we are co producing and co hosting since we launched 52 00:02:52,080 --> 00:02:54,000 Speaker 2: lok at Thought our radio, So this is our first 53 00:02:54,000 --> 00:02:58,280 Speaker 2: time putting out a whole new project as look at 54 00:02:58,280 --> 00:03:02,800 Speaker 2: Thought our productions in collectoration with my podcast network. But 55 00:03:02,919 --> 00:03:06,080 Speaker 2: it's been really fascinating to me to watch the show, 56 00:03:06,520 --> 00:03:10,560 Speaker 2: Senora Sex said, go from an idea to even like recording, 57 00:03:10,800 --> 00:03:15,600 Speaker 2: to then seeing it take on its own identity, its 58 00:03:15,600 --> 00:03:18,240 Speaker 2: own style, its own vibe, and sort of like letting 59 00:03:18,320 --> 00:03:22,480 Speaker 2: the show reveal itself to us and each guest really 60 00:03:22,560 --> 00:03:25,240 Speaker 2: kind of bringing a different lens, a different topic, a 61 00:03:25,240 --> 00:03:28,120 Speaker 2: different angle that I don't think we can always we can. 62 00:03:28,240 --> 00:03:31,320 Speaker 2: We can't always predict, you know, like what a guest 63 00:03:31,360 --> 00:03:33,880 Speaker 2: is going to bring to the show, and we and 64 00:03:34,080 --> 00:03:36,680 Speaker 2: like letting that happen and then like following the lead 65 00:03:36,720 --> 00:03:38,080 Speaker 2: of the guest has been really fun. 66 00:03:38,840 --> 00:03:41,840 Speaker 1: Yeah, I agree. I think that that's what makes Senora 67 00:03:41,880 --> 00:03:46,120 Speaker 1: sex said different from Loka Tora, where we're giving the 68 00:03:46,200 --> 00:03:48,960 Speaker 1: guests the space to really tell their own story and 69 00:03:49,000 --> 00:03:51,640 Speaker 1: it's not about a specific project that they're working on 70 00:03:52,000 --> 00:03:56,240 Speaker 1: or specific moment a current moment. Really, when we talk 71 00:03:56,280 --> 00:03:59,360 Speaker 1: about Loka Tora, we're archiving the present and so very 72 00:03:59,440 --> 00:04:02,640 Speaker 1: much we're talking talking about an artist, a creative and 73 00:04:02,720 --> 00:04:05,680 Speaker 1: activist and what they're doing right now in this present 74 00:04:05,720 --> 00:04:08,040 Speaker 1: moment where a Senora sex said, we're really giving the 75 00:04:08,040 --> 00:04:12,160 Speaker 1: guests the opportunity to reflect on their upbringing, their family, 76 00:04:13,040 --> 00:04:16,160 Speaker 1: anything related to sex and sexuality. And I love when 77 00:04:16,160 --> 00:04:19,080 Speaker 1: they have these moments where they're sharing something for the 78 00:04:19,120 --> 00:04:23,719 Speaker 1: first time or in real time, you can see them like, oh, 79 00:04:23,760 --> 00:04:25,680 Speaker 1: I actually never thought about it that way, but now 80 00:04:25,680 --> 00:04:27,760 Speaker 1: that I'm saying it out loud to you both, I 81 00:04:27,800 --> 00:04:30,160 Speaker 1: can really see it or I can think about it 82 00:04:30,160 --> 00:04:31,760 Speaker 1: in this way. And so I think that's what makes 83 00:04:31,800 --> 00:04:34,720 Speaker 1: the show really unique and different from Look at Thota Radio. 84 00:04:35,200 --> 00:04:38,840 Speaker 2: I agree, it's extremely personal, and I think in more 85 00:04:38,880 --> 00:04:44,240 Speaker 2: recent seasons Locator has gotten less like personal and less 86 00:04:44,360 --> 00:04:47,719 Speaker 2: putting the private out for the public. But Senora Sexad 87 00:04:47,760 --> 00:04:50,000 Speaker 2: is that space where our guests can very much do that, 88 00:04:50,279 --> 00:04:52,400 Speaker 2: and it's been cool to see how our guests, like 89 00:04:53,040 --> 00:04:58,080 Speaker 2: Aida Rodriguez talked about feeling really safe during the interview 90 00:04:58,120 --> 00:05:02,640 Speaker 2: to go there and talk about deep issues and difficult 91 00:05:02,640 --> 00:05:07,280 Speaker 2: memories and maybe traumas that she hasn't talked about out 92 00:05:07,360 --> 00:05:11,240 Speaker 2: loud necessarily outside of her book. So it's just been 93 00:05:11,279 --> 00:05:14,280 Speaker 2: really cool. And our most recent episode, while at the 94 00:05:14,279 --> 00:05:17,600 Speaker 2: time of this recording, features a mother daughter pair that 95 00:05:17,720 --> 00:05:19,479 Speaker 2: I am so excited to have on the show, Lily 96 00:05:19,600 --> 00:05:22,960 Speaker 2: and Lethisia Roldan. If you tune into Senora Sex Said, 97 00:05:23,080 --> 00:05:26,719 Speaker 2: you're gonna notice we have a recurring segment. It's a 98 00:05:26,720 --> 00:05:30,000 Speaker 2: house call from doctor Roldan and she's giving us her 99 00:05:30,120 --> 00:05:34,520 Speaker 2: obgyn resident physician input on some of the topics that 100 00:05:34,560 --> 00:05:39,000 Speaker 2: our guests bring up, whether it's perimenopause or masturbation, what 101 00:05:39,160 --> 00:05:44,599 Speaker 2: have you, or a myth busting around the hymen. The hymen, 102 00:05:44,720 --> 00:05:46,680 Speaker 2: I forgot the word. We talked about it so much 103 00:05:46,720 --> 00:05:49,480 Speaker 2: that I forgot the word. But now she has her 104 00:05:49,520 --> 00:05:52,240 Speaker 2: own episode with her mom where we talk about their 105 00:05:52,279 --> 00:05:55,679 Speaker 2: own journey on Senora Sex Said, and really her journey 106 00:05:55,720 --> 00:05:59,400 Speaker 2: to becoming a gynecologist. So it's a very fun episode, 107 00:05:59,480 --> 00:06:01,680 Speaker 2: very full, so make sure you go and tune in. 108 00:06:02,279 --> 00:06:04,800 Speaker 1: Yeah, I love all of the episodes so far, but 109 00:06:04,920 --> 00:06:10,279 Speaker 1: I especially feel really connected and really like tenderhearted about 110 00:06:10,279 --> 00:06:14,200 Speaker 1: the mother daughter conversations because again, you can see in 111 00:06:14,240 --> 00:06:20,080 Speaker 1: real time mother daughters processing their relationship, their understanding of 112 00:06:20,080 --> 00:06:22,680 Speaker 1: sex and sexuality, not only about themselves, but also of 113 00:06:22,720 --> 00:06:25,160 Speaker 1: their mothers or their counterparts, depending who it is, and 114 00:06:25,240 --> 00:06:28,159 Speaker 1: so that has also been really beautiful to see. And 115 00:06:28,800 --> 00:06:32,320 Speaker 1: you know, we're not necessarily defining Senora sext as an archive, 116 00:06:32,800 --> 00:06:35,240 Speaker 1: but when I think about like oral tradition and a 117 00:06:35,400 --> 00:06:38,400 Speaker 1: mother daughter story, I'm like, we've just archived this for 118 00:06:38,440 --> 00:06:40,240 Speaker 1: them and they can listen to it for as long 119 00:06:40,279 --> 00:06:42,560 Speaker 1: as the feed exists. And to me, that's something so 120 00:06:42,920 --> 00:06:46,640 Speaker 1: special because as we know, like as our parents' age, 121 00:06:46,960 --> 00:06:49,400 Speaker 1: there's all these stories you want to capture. And I 122 00:06:49,520 --> 00:06:52,880 Speaker 1: really feel like for the mother daughter episodes, it really 123 00:06:52,920 --> 00:06:55,800 Speaker 1: is that time capsule because it's not just present day 124 00:06:55,880 --> 00:06:58,840 Speaker 1: how we're processing, but it's looking back on their childhoods, 125 00:06:59,240 --> 00:07:02,400 Speaker 1: looking into the future if they want to become mothers themselves, 126 00:07:02,480 --> 00:07:05,599 Speaker 1: and having those dialogues with their mother. And so I 127 00:07:05,600 --> 00:07:07,880 Speaker 1: think that that's something really special about the show. 128 00:07:08,160 --> 00:07:11,880 Speaker 2: It's super special. And when have we seen these types 129 00:07:11,920 --> 00:07:14,640 Speaker 2: of mother daughter conversations in one place. 130 00:07:14,720 --> 00:07:20,040 Speaker 1: In a Latino Latina LATINX context. Yeah, talking about sex 131 00:07:20,040 --> 00:07:22,960 Speaker 1: and sexuality. And we'll have guests that are like, I 132 00:07:23,000 --> 00:07:25,280 Speaker 1: want to do it, but my mom isn't down. And 133 00:07:25,320 --> 00:07:27,400 Speaker 1: of course we're not going to force the sangnona. You know, 134 00:07:27,440 --> 00:07:29,800 Speaker 1: we're not going to even our own moms. Like when 135 00:07:29,840 --> 00:07:33,880 Speaker 1: we were starting the show, like they had said yes 136 00:07:34,120 --> 00:07:36,960 Speaker 1: and they were down, and then as like it came 137 00:07:37,000 --> 00:07:39,400 Speaker 1: down to interviewing, there was a little more hesitancy, and 138 00:07:39,440 --> 00:07:42,040 Speaker 1: so we haven't actually booked them yet. I'm still hoping 139 00:07:42,160 --> 00:07:45,040 Speaker 1: that my mom will listen to one of the mother 140 00:07:45,160 --> 00:07:48,840 Speaker 1: daughter episodes and understand the vibe and the goal of 141 00:07:48,880 --> 00:07:52,440 Speaker 1: the show and not feel too shy about it. But yeah, 142 00:07:52,480 --> 00:07:54,840 Speaker 1: we're not going to force anyone, but I do hope 143 00:07:54,920 --> 00:07:56,360 Speaker 1: that I can get her on eventually. 144 00:07:56,880 --> 00:08:00,640 Speaker 2: Yeah, we the jury still out on our moms, but 145 00:08:00,760 --> 00:08:04,840 Speaker 2: we are grateful to our guests and their moms for 146 00:08:04,960 --> 00:08:08,760 Speaker 2: being so open and vulnerable. And we took it a 147 00:08:08,800 --> 00:08:12,760 Speaker 2: step further. We went with Victory House to the Santa 148 00:08:12,760 --> 00:08:16,320 Speaker 2: Fe Spring Swap Meat and Live and in person and 149 00:08:16,360 --> 00:08:21,120 Speaker 2: on camera. We just approached random women, mothers and daughters, 150 00:08:21,520 --> 00:08:23,960 Speaker 2: and we asked them if we could give them like 151 00:08:24,000 --> 00:08:27,160 Speaker 2: a brief interview about how they learned about sex and sexuality. 152 00:08:27,480 --> 00:08:30,960 Speaker 2: And we interviewed some really great women who were funny, 153 00:08:31,360 --> 00:08:34,080 Speaker 2: who were really they just wanted to talk about it. 154 00:08:34,120 --> 00:08:36,760 Speaker 2: They were down, and you know, it's not every day 155 00:08:36,760 --> 00:08:39,040 Speaker 2: that someone approaches you at the swap meet to ask, 156 00:08:39,120 --> 00:08:41,559 Speaker 2: you know, how did you learn about sex? But totally 157 00:08:41,640 --> 00:08:45,200 Speaker 2: and some were not down. Some were like absolutely not, no, 158 00:08:45,320 --> 00:08:47,480 Speaker 2: thank you. And some who were there with like boyfriends 159 00:08:47,559 --> 00:08:50,800 Speaker 2: or male partners. I think we're shy, which is fine, 160 00:08:50,920 --> 00:08:53,960 Speaker 2: but go to our instagram and check out that clip 161 00:08:54,080 --> 00:08:56,200 Speaker 2: from the Santa Fe Springs swap meat. It was really fun. 162 00:08:56,520 --> 00:08:59,840 Speaker 1: Yeah, and I think they're I don't know if this 163 00:08:59,880 --> 00:09:03,320 Speaker 1: is a generalization, but I think so far what we've seen, 164 00:09:03,360 --> 00:09:05,920 Speaker 1: it's either your super down to talk about sex and 165 00:09:05,960 --> 00:09:08,320 Speaker 1: sexuality and sex ed or you're not. 166 00:09:08,880 --> 00:09:09,200 Speaker 2: Yeah. 167 00:09:09,280 --> 00:09:11,839 Speaker 1: I don't know if we've found that in between, because 168 00:09:11,840 --> 00:09:13,560 Speaker 1: I think to be in that in between, you're gonna 169 00:09:13,600 --> 00:09:15,280 Speaker 1: you're still gonna you're gonna go to one side or 170 00:09:15,280 --> 00:09:17,400 Speaker 1: the other. You're gonna go more towards no or more 171 00:09:17,400 --> 00:09:21,040 Speaker 1: towards yes. So it's it has been really fun to 172 00:09:21,080 --> 00:09:24,160 Speaker 1: talk to the women, the signos especially that are like yes, 173 00:09:24,280 --> 00:09:26,000 Speaker 1: I want to talk about this because no one's ever 174 00:09:26,040 --> 00:09:29,320 Speaker 1: talked to me about it before. It's fun subscribe leave 175 00:09:29,360 --> 00:09:30,400 Speaker 1: a review for that. 176 00:09:30,440 --> 00:09:31,240 Speaker 2: Show as well. 177 00:09:31,559 --> 00:09:34,360 Speaker 1: It's a brand new feed, so we're growing the audience. 178 00:09:34,640 --> 00:09:37,120 Speaker 1: We have one review so far and it's a very 179 00:09:37,160 --> 00:09:40,240 Speaker 1: sweet review. So if you want to contribute, we would 180 00:09:40,840 --> 00:09:42,199 Speaker 1: love that so so much. 181 00:09:42,440 --> 00:09:44,839 Speaker 2: On Apple podcasts and on Spotify. 182 00:09:44,600 --> 00:09:47,600 Speaker 1: Yes, all streaming platforms, but especially the Apple pod and 183 00:09:47,640 --> 00:09:50,440 Speaker 1: the Spotify. If you can leave five stars, if you 184 00:09:50,440 --> 00:09:55,960 Speaker 1: can leave a review, that would be greatly appreciated. Don't 185 00:09:56,000 --> 00:09:57,200 Speaker 1: go anywhere, Lokamotives. 186 00:09:57,280 --> 00:10:10,040 Speaker 2: We'll be right back and we're back with more of 187 00:10:10,080 --> 00:10:10,880 Speaker 2: our episode. 188 00:10:11,200 --> 00:10:14,360 Speaker 1: So today, aside from our general check in and talking 189 00:10:14,440 --> 00:10:19,920 Speaker 1: about our new show, Total Mood Shift, it's election season. 190 00:10:20,280 --> 00:10:23,480 Speaker 2: Yes, it is again again. It's always election season. It 191 00:10:23,520 --> 00:10:24,040 Speaker 2: feels like. 192 00:10:24,360 --> 00:10:28,640 Speaker 1: Every well, every presidential election. Obviously we've covered it because 193 00:10:28,880 --> 00:10:32,280 Speaker 1: we've been in existence for eight years, nine seasons, but 194 00:10:32,320 --> 00:10:36,640 Speaker 1: local elections we cover two. But we're seeing like it's 195 00:10:36,640 --> 00:10:38,880 Speaker 1: not even Trump two point zero. It's like Trump three 196 00:10:38,920 --> 00:10:41,920 Speaker 1: point oh, because this is his third time running wild, 197 00:10:42,240 --> 00:10:46,120 Speaker 1: which like, I'm an abolitionist until it comes to these 198 00:10:46,120 --> 00:10:46,680 Speaker 1: shitty men. 199 00:10:46,760 --> 00:10:51,520 Speaker 2: Yeah under the jail, Yeah, I'm like please. 200 00:10:52,000 --> 00:10:56,400 Speaker 1: Today we're talking about the presidential election, but more specifically 201 00:10:56,720 --> 00:11:01,080 Speaker 1: the recent live debate between Kamala Harris and Donald Trump 202 00:11:01,120 --> 00:11:03,480 Speaker 1: that took place on September tenth. 203 00:11:03,880 --> 00:11:06,480 Speaker 2: So if you guys tuned in, then you probably saw that, 204 00:11:06,920 --> 00:11:12,080 Speaker 2: among other things, donald Trump started talking about Haitian immigrants 205 00:11:12,240 --> 00:11:18,240 Speaker 2: in Springfield, quote eating dogs, eating cats, eating the pets 206 00:11:18,240 --> 00:11:21,960 Speaker 2: of the people that live there in Springfield. So, of course, 207 00:11:22,040 --> 00:11:26,679 Speaker 2: when something like this happens, donald Trump gives us a inflamed, 208 00:11:27,120 --> 00:11:33,840 Speaker 2: ridiculous racist SoundBite, the internet goes wild, right, it gets 209 00:11:33,880 --> 00:11:37,400 Speaker 2: picked up and it's spread like wildfire. And we see 210 00:11:37,640 --> 00:11:40,600 Speaker 2: a quote like that not only covered in the news 211 00:11:40,880 --> 00:11:44,640 Speaker 2: and not only dissected by commentators, but we see what 212 00:11:44,640 --> 00:11:48,360 Speaker 2: we're calling the memification of a statement like that, right, 213 00:11:48,440 --> 00:11:52,319 Speaker 2: people making tiktoks. It's becoming a sound it's becoming its 214 00:11:52,360 --> 00:11:54,400 Speaker 2: own meme. We want to sort of talk about all 215 00:11:54,400 --> 00:11:59,040 Speaker 2: the implications of that and analyze that that process. 216 00:11:58,640 --> 00:12:01,920 Speaker 1: Before we go into our own analysi of what it 217 00:12:01,960 --> 00:12:06,319 Speaker 1: means when someone like Trump becomes a meme. Also want 218 00:12:06,360 --> 00:12:09,319 Speaker 1: to just set the stage as to what has been 219 00:12:09,320 --> 00:12:13,960 Speaker 1: going on the past week. So during the during the debate, 220 00:12:14,760 --> 00:12:18,480 Speaker 1: it was moderated by two journalists, Lindsay Davis and David Muir, 221 00:12:18,720 --> 00:12:21,400 Speaker 1: and they were fact checking in real time, which I 222 00:12:21,520 --> 00:12:25,640 Speaker 1: really appreciated because a lot of people won't go back 223 00:12:25,679 --> 00:12:28,920 Speaker 1: and check and fact check afterwards. There are fact checking, 224 00:12:29,640 --> 00:12:32,520 Speaker 1: there is fact checking that happens by certain outlets after 225 00:12:32,600 --> 00:12:35,800 Speaker 1: the fact, but I think it being live was super 226 00:12:35,840 --> 00:12:39,600 Speaker 1: important and really critical. And as they were fact checking 227 00:12:39,640 --> 00:12:44,720 Speaker 1: this claim that Trump made about quote Haitian immigrants eating pets, 228 00:12:46,320 --> 00:12:48,800 Speaker 1: David Muir fact checked in real time and said, there 229 00:12:48,800 --> 00:12:51,320 Speaker 1: are actually no reports. The city commissioner has said there 230 00:12:51,320 --> 00:12:56,160 Speaker 1: are no reports of immigrants or anyone eating pets, eating cats, 231 00:12:56,200 --> 00:12:59,640 Speaker 1: eating dogs, and really challenged that narrative that he was stating, 232 00:13:00,200 --> 00:13:03,880 Speaker 1: and so essentially it was baseless, right, But of course 233 00:13:04,120 --> 00:13:07,040 Speaker 1: he ran with it, and the Republican Party ran with it, 234 00:13:07,120 --> 00:13:09,800 Speaker 1: or members of the Republican Party ran with it, And 235 00:13:09,880 --> 00:13:15,000 Speaker 1: since then there have been real life implications as to 236 00:13:15,880 --> 00:13:17,160 Speaker 1: the statements that he made. 237 00:13:17,480 --> 00:13:20,360 Speaker 2: And of course, you know, Donald Trump comes from a 238 00:13:20,400 --> 00:13:23,840 Speaker 2: reality TV background, I think a big part of his 239 00:13:24,000 --> 00:13:27,840 Speaker 2: staying power at this point has been his sort of 240 00:13:27,880 --> 00:13:33,160 Speaker 2: ability to capture a public media moment and give his 241 00:13:33,720 --> 00:13:37,560 Speaker 2: folks a SoundBite and something that can be clipped and 242 00:13:37,640 --> 00:13:42,440 Speaker 2: quoted and shared and memified, and in essence he launches 243 00:13:42,480 --> 00:13:45,320 Speaker 2: into this well, and we're talking about this episode as 244 00:13:45,320 --> 00:13:48,520 Speaker 2: the memification of evil, right, and where he takes something 245 00:13:48,600 --> 00:13:53,280 Speaker 2: super diabolical and the general public turns it into content 246 00:13:53,760 --> 00:13:56,800 Speaker 2: on the Internet that can be recreated and shared. We 247 00:13:56,880 --> 00:13:59,439 Speaker 2: don't always know the intent of that person, but we 248 00:13:59,480 --> 00:14:02,640 Speaker 2: can guaranty that there's a lot of them who want 249 00:14:02,679 --> 00:14:06,840 Speaker 2: to propagate that stereotypical racist statement, who want it to 250 00:14:06,880 --> 00:14:10,800 Speaker 2: spread and want it to be believed. So probably folks 251 00:14:10,840 --> 00:14:13,400 Speaker 2: will act on it, whether that's in the way that 252 00:14:13,480 --> 00:14:15,880 Speaker 2: they vote or in the way that they're interacting with 253 00:14:16,000 --> 00:14:18,600 Speaker 2: the community that's being targeted, which in this case is 254 00:14:18,640 --> 00:14:20,200 Speaker 2: the Haitian community. 255 00:14:20,320 --> 00:14:24,960 Speaker 1: Yeah, and I think because we have been online for 256 00:14:25,000 --> 00:14:28,880 Speaker 1: so long, right, depending on your age, but also so 257 00:14:29,000 --> 00:14:31,560 Speaker 1: much of how we consume news now, so much of 258 00:14:31,560 --> 00:14:35,320 Speaker 1: how we consume anything is online, whether that be through 259 00:14:35,360 --> 00:14:38,320 Speaker 1: a digital publication or a legacy outlet. That everybody is 260 00:14:38,320 --> 00:14:41,240 Speaker 1: online at this point, and so I think that memes 261 00:14:41,880 --> 00:14:45,560 Speaker 1: have become or have felt, very innocent in some way, 262 00:14:45,680 --> 00:14:48,840 Speaker 1: like it's a joke, it's not that serious. There's some 263 00:14:48,920 --> 00:14:51,640 Speaker 1: hilarious memes out there about tons of different things, right, 264 00:14:51,680 --> 00:14:54,680 Speaker 1: And I think what we're more so thinking about is 265 00:14:55,400 --> 00:14:59,640 Speaker 1: how we sanitize what someone says, when we turn it 266 00:14:59,640 --> 00:15:03,160 Speaker 1: into a meme, how we make it less threatening when 267 00:15:03,200 --> 00:15:05,720 Speaker 1: it becomes a joke. And I think there's that fine 268 00:15:05,760 --> 00:15:08,800 Speaker 1: line of like, this is so ridiculous, How can anyone 269 00:15:08,840 --> 00:15:12,200 Speaker 1: believe this? This is so ridiculous? How is this not funny? 270 00:15:12,640 --> 00:15:16,120 Speaker 1: But there's real implications, as we've seen in the past 271 00:15:16,560 --> 00:15:19,520 Speaker 1: eight years of what it means when someone like Donald 272 00:15:19,560 --> 00:15:23,200 Speaker 1: Trump is platformed, even in a way where it's quote 273 00:15:23,240 --> 00:15:26,040 Speaker 1: a joke, it's supposed to be funny, or we're poking 274 00:15:26,080 --> 00:15:29,480 Speaker 1: fun at what he said, there's actual real life implications. 275 00:15:29,880 --> 00:15:34,040 Speaker 2: Absolutely, there's real life implications. I mean, number one, it's 276 00:15:34,080 --> 00:15:39,160 Speaker 2: not just him alone making the statement anymore. At the 277 00:15:39,200 --> 00:15:43,120 Speaker 2: debate now it's like all these individuals with their own 278 00:15:43,200 --> 00:15:45,960 Speaker 2: feeds and their own audiences and their own platforms of 279 00:15:46,040 --> 00:15:51,040 Speaker 2: varying sizes, spreading and giving new life to the statements 280 00:15:51,120 --> 00:15:53,440 Speaker 2: and making sure they get out there, and so we're 281 00:15:53,440 --> 00:15:56,800 Speaker 2: going to talk about just kind of like different instances 282 00:15:57,000 --> 00:15:59,400 Speaker 2: where things like this have happened in the past, whether 283 00:15:59,400 --> 00:16:04,280 Speaker 2: we're talking about about cartoonists and racist propaganda against Jewish 284 00:16:04,320 --> 00:16:09,280 Speaker 2: people in Nazi Germany, right, Like, the arts can be 285 00:16:09,400 --> 00:16:13,760 Speaker 2: implicated in the spread of propaganda, you know, and things 286 00:16:13,880 --> 00:16:18,880 Speaker 2: like memes and cartoons and jokes and sketches and TV 287 00:16:18,960 --> 00:16:23,080 Speaker 2: shows can be used for things that are beyond like 288 00:16:23,200 --> 00:16:25,560 Speaker 2: a laugh or a he he haha. They can be 289 00:16:25,680 --> 00:16:28,560 Speaker 2: used to propagate evil. And so that's sort of what 290 00:16:28,600 --> 00:16:31,240 Speaker 2: we want to talk about today as we analyze this 291 00:16:31,320 --> 00:16:32,479 Speaker 2: most recent occurrence. 292 00:16:33,400 --> 00:16:35,240 Speaker 1: I think what Trump one of the things that Trump 293 00:16:35,280 --> 00:16:38,680 Speaker 1: is really quote good at, is creating this like racist 294 00:16:38,760 --> 00:16:42,480 Speaker 1: dog whistling and picking a certain community to attack. 295 00:16:42,680 --> 00:16:42,800 Speaker 2: Right. 296 00:16:42,880 --> 00:16:47,240 Speaker 1: He did that back in twenty sixteen with Mexican immigrant communities. 297 00:16:47,640 --> 00:16:50,680 Speaker 1: He's done that with Api folks, He's done that with Muslims. 298 00:16:50,920 --> 00:16:54,000 Speaker 1: Now he's doing that with Haitians. And so it's really 299 00:16:54,080 --> 00:16:57,880 Speaker 1: easy for him to pick a group and just makeup 300 00:16:57,920 --> 00:17:02,040 Speaker 1: shit about them and people and his bass runs with it, 301 00:17:02,080 --> 00:17:05,040 Speaker 1: and he knows that. And so I think there's a 302 00:17:05,480 --> 00:17:08,320 Speaker 1: part of us that maybe wants there's a part of 303 00:17:08,400 --> 00:17:12,240 Speaker 1: us that can discern like, this is not real, this 304 00:17:12,400 --> 00:17:16,359 Speaker 1: is baseless, this is a lie, this is wrong. But 305 00:17:16,480 --> 00:17:19,320 Speaker 1: then I think you might have said this Mala already, 306 00:17:19,400 --> 00:17:21,040 Speaker 1: or maybe you just said it to me earlier. But 307 00:17:21,720 --> 00:17:24,880 Speaker 1: it's like, don't he doesn't really need to spread anything 308 00:17:25,200 --> 00:17:28,680 Speaker 1: beyond that one statement, because it's not just his party 309 00:17:28,760 --> 00:17:33,520 Speaker 1: running with it. It's even us like liberals, progressives, Democrats, 310 00:17:33,560 --> 00:17:36,760 Speaker 1: however you may identify turning it into a joke itself, 311 00:17:36,840 --> 00:17:39,720 Speaker 1: like we're doing the legwork for him, and it's staying 312 00:17:40,359 --> 00:17:43,560 Speaker 1: in the ether. It's staying in the zeitgeist because it's 313 00:17:43,560 --> 00:17:47,560 Speaker 1: still two weeks later practically, and people are still talking 314 00:17:47,600 --> 00:17:50,600 Speaker 1: about it, and it's and it's still a quote joke. Right. 315 00:17:50,640 --> 00:17:52,360 Speaker 2: There are TikTok. 316 00:17:52,000 --> 00:17:55,080 Speaker 1: Dances, there are songs created. My mom was showing me 317 00:17:55,720 --> 00:17:59,600 Speaker 1: a TikTok video of a creator that made this song 318 00:18:00,080 --> 00:18:03,920 Speaker 1: using the SoundBite from Trump, and for all of the 319 00:18:04,080 --> 00:18:07,480 Speaker 1: money he made from streams or views, he was donating 320 00:18:07,520 --> 00:18:10,919 Speaker 1: it to like an animal organization. So I'm like, okay, 321 00:18:11,160 --> 00:18:16,000 Speaker 1: a little bit of like some altruism, but the cats 322 00:18:16,000 --> 00:18:18,640 Speaker 1: and dogs aren't actually being affected. Who's being affected? Are 323 00:18:18,680 --> 00:18:23,119 Speaker 1: the Haitian immigrants and the Haitian community in Springfield, Ohio. 324 00:18:23,560 --> 00:18:29,440 Speaker 2: Yeah, it's was that creator, like a white creator doing 325 00:18:29,480 --> 00:18:33,600 Speaker 2: like an ironic, like indie pop cover of the hate 326 00:18:33,600 --> 00:18:37,000 Speaker 2: speech something like that, Yes, and that sort of And 327 00:18:37,040 --> 00:18:40,440 Speaker 2: it's like the intention behind the creator is one thing, 328 00:18:41,160 --> 00:18:45,080 Speaker 2: and the irony that you sort of gloss on top 329 00:18:45,119 --> 00:18:48,639 Speaker 2: of the hate speech is sort of like, Uh, I 330 00:18:48,640 --> 00:18:53,240 Speaker 2: don't think it's enough. It's not enough to separate what 331 00:18:53,320 --> 00:18:57,919 Speaker 2: you've made from the original statement, from the original moment 332 00:18:57,920 --> 00:19:01,679 Speaker 2: of hate speech and the intention behind why those words 333 00:19:01,680 --> 00:19:04,639 Speaker 2: were shared during the debate, you know. And I think, 334 00:19:04,720 --> 00:19:09,840 Speaker 2: like with with a situation like that, it's so you're right, 335 00:19:11,400 --> 00:19:13,560 Speaker 2: for whose benefit? Why did you make this? Like who's 336 00:19:13,600 --> 00:19:14,439 Speaker 2: benefiting from this? 337 00:19:14,800 --> 00:19:15,000 Speaker 1: Right? 338 00:19:15,160 --> 00:19:17,840 Speaker 2: Who's benefiting from this? It's the dogs and the cats, 339 00:19:18,280 --> 00:19:23,720 Speaker 2: right like, and that creator probably because that song probably 340 00:19:23,720 --> 00:19:28,840 Speaker 2: got that person like lots of views and traction and engagement. Yeah, 341 00:19:28,880 --> 00:19:32,000 Speaker 2: And so ultimately it's like this community is being put 342 00:19:32,040 --> 00:19:35,560 Speaker 2: at the center of this nasty firestorm, but at least 343 00:19:35,600 --> 00:19:38,120 Speaker 2: you got to make like a little ironic indie pop 344 00:19:38,200 --> 00:19:40,640 Speaker 2: song about it and get a million views or whatever. 345 00:19:40,840 --> 00:19:44,600 Speaker 1: It's Eh, it's like the ethics of the creator economy 346 00:19:44,760 --> 00:19:48,720 Speaker 1: in that way where like not everything needs to be 347 00:19:48,840 --> 00:19:52,240 Speaker 1: content and not everything should be content, and it's not 348 00:19:52,359 --> 00:19:55,280 Speaker 1: to target that specific person, it's just in general, right, 349 00:19:55,400 --> 00:19:57,919 Speaker 1: like some things shouldn't be turned into content. And I 350 00:19:57,960 --> 00:20:01,720 Speaker 1: think what we haven't learned earned thus far and we 351 00:20:01,760 --> 00:20:05,720 Speaker 1: as a culture, is that bad people need to be ignored, 352 00:20:06,119 --> 00:20:08,679 Speaker 1: like when they say outrageous things, like we have to 353 00:20:08,880 --> 00:20:12,560 Speaker 1: ignore them instead of platforming them. And because someone like 354 00:20:12,600 --> 00:20:15,760 Speaker 1: Trump is so quote good for business, like he's going 355 00:20:15,840 --> 00:20:19,119 Speaker 1: to be all over the news outlets and that's what 356 00:20:19,200 --> 00:20:22,080 Speaker 1: he wants, and he the memes are going to be 357 00:20:22,119 --> 00:20:25,560 Speaker 1: made and that's what he wants. And so someone like that, 358 00:20:25,800 --> 00:20:28,560 Speaker 1: Like if we could go back in time and we 359 00:20:28,640 --> 00:20:32,040 Speaker 1: ignored this person as opposed to giving them the platform 360 00:20:32,080 --> 00:20:34,800 Speaker 1: that they needed. Of course it's not that simple, but 361 00:20:34,880 --> 00:20:37,200 Speaker 1: what would it have looked like if the major news 362 00:20:37,240 --> 00:20:41,120 Speaker 1: outlets back in twenty fifteen twenty sixteen, we're not giving 363 00:20:41,240 --> 00:20:43,760 Speaker 1: him this news time or the screen time that he got. 364 00:20:44,320 --> 00:20:46,800 Speaker 1: And what if we were actually talking about like, oh, 365 00:20:46,840 --> 00:20:49,480 Speaker 1: this person is not qualified and they're a bad person 366 00:20:49,560 --> 00:20:51,600 Speaker 1: and they're saying bad things, so we're going to ignore 367 00:20:51,640 --> 00:20:54,719 Speaker 1: them instead. Because I think what we did was we 368 00:20:54,840 --> 00:20:57,960 Speaker 1: made it like something to look at. It was a 369 00:20:58,000 --> 00:21:00,840 Speaker 1: spectacle because it was so outrageous, and at that time, 370 00:21:01,280 --> 00:21:05,200 Speaker 1: post Obama, like nobody was speaking that way publicly anymore. 371 00:21:05,720 --> 00:21:08,280 Speaker 1: And so it became like, oh, Trump is making it 372 00:21:08,320 --> 00:21:10,760 Speaker 1: okay to talk like that again. So we're gonna bring 373 00:21:10,760 --> 00:21:12,480 Speaker 1: it back. Stick around for more. 374 00:21:12,680 --> 00:21:24,800 Speaker 2: We'll be right back. We're back with more. We hope 375 00:21:24,800 --> 00:21:28,480 Speaker 2: you didn't go anywhere. I think his voter base and 376 00:21:28,520 --> 00:21:33,399 Speaker 2: his supporters are already primed to accept statements like this 377 00:21:33,680 --> 00:21:37,639 Speaker 2: as fact. It's not like these are folks who have 378 00:21:37,880 --> 00:21:43,760 Speaker 2: never bought into this type of propaganda before. From NPR, 379 00:21:43,920 --> 00:21:47,760 Speaker 2: there's this article about the stereotype of immigrants eating dogs 380 00:21:47,760 --> 00:21:51,120 Speaker 2: and cats as being a storied one. I remember being 381 00:21:51,280 --> 00:21:55,119 Speaker 2: young in California and seeing like weird stories on the 382 00:21:55,160 --> 00:21:59,160 Speaker 2: news about Chinese restaurants and like dogs and cats, you know, 383 00:21:59,280 --> 00:22:03,879 Speaker 2: being served Chinese restaurants. And so it's this ongoing racist 384 00:22:03,960 --> 00:22:09,720 Speaker 2: stereotype that immigrant groups in particular eat pets and eat 385 00:22:09,720 --> 00:22:11,639 Speaker 2: dogs and cats, and it's this sort of way to 386 00:22:11,760 --> 00:22:16,879 Speaker 2: a make immigrant communities look scary, look threatening. They're going 387 00:22:16,960 --> 00:22:22,440 Speaker 2: to come after your beloved pets, your animals. And also 388 00:22:22,560 --> 00:22:26,359 Speaker 2: this way of making immigrant communities look non human and 389 00:22:26,440 --> 00:22:30,560 Speaker 2: like bottom feeders. Right, yeah, and so what's happening here 390 00:22:30,680 --> 00:22:33,880 Speaker 2: is this is a group of people who probably believed 391 00:22:34,160 --> 00:22:38,000 Speaker 2: the Chinese people eating animals stuff when that came out. 392 00:22:38,440 --> 00:22:41,720 Speaker 2: So we're just switching out one immigrant group for another. 393 00:22:41,960 --> 00:22:45,359 Speaker 2: But that general idea is sort of already embedded in 394 00:22:45,400 --> 00:22:49,399 Speaker 2: the minds of like a racist American audience. Absolutely, you know, 395 00:22:49,440 --> 00:22:51,840 Speaker 2: it's just like plug and play. And I think that 396 00:22:51,920 --> 00:22:54,760 Speaker 2: he knows that, or his team knows that, or maybe 397 00:22:54,800 --> 00:22:58,119 Speaker 2: I'm giving him too much credit. But it's just so 398 00:22:58,280 --> 00:23:01,320 Speaker 2: easy to ignite that, you know. It just takes the 399 00:23:01,320 --> 00:23:03,160 Speaker 2: one statement and they're running with it. 400 00:23:03,600 --> 00:23:07,240 Speaker 1: This NPR article that you mentioned, but written by Jasmine Garst, 401 00:23:07,440 --> 00:23:12,560 Speaker 1: she references a writer, Jean rachel Bach, who was a 402 00:23:12,760 --> 00:23:17,840 Speaker 1: Korean American, and describes growing up and racist comments being 403 00:23:17,880 --> 00:23:20,840 Speaker 1: made about the food that she was bringing. She says, quote, 404 00:23:20,880 --> 00:23:23,800 Speaker 1: despite my persistent attempts to explain that dog eating was 405 00:23:23,840 --> 00:23:27,080 Speaker 1: not at all a common practice among Asians, not to 406 00:23:27,119 --> 00:23:29,720 Speaker 1: mention Asian Americans, I started to beg my mom to 407 00:23:29,760 --> 00:23:35,240 Speaker 1: stop packing me Korean dishes. It's like, I love this 408 00:23:35,320 --> 00:23:39,320 Speaker 1: title of it being storied because This has been a 409 00:23:39,400 --> 00:23:43,119 Speaker 1: statement that has been wielded against many immigrant communities for 410 00:23:43,160 --> 00:23:45,520 Speaker 1: many years. I even see it now, not to deflect, 411 00:23:46,160 --> 00:23:49,480 Speaker 1: not to deflect, but I even see it now as 412 00:23:50,160 --> 00:23:53,639 Speaker 1: I think Peruvian food has become super global, super mainstream, 413 00:23:53,880 --> 00:23:57,800 Speaker 1: and when people find out that in certain regions Peruvians equoy, 414 00:23:57,880 --> 00:24:00,679 Speaker 1: which is guinea pig, I see the common and I'm like, 415 00:24:00,760 --> 00:24:04,280 Speaker 1: oh no, we're not going to do that. We're not 416 00:24:04,320 --> 00:24:06,320 Speaker 1: eating your guinea pig in your fucking cage. 417 00:24:06,840 --> 00:24:07,120 Speaker 2: You know. 418 00:24:07,320 --> 00:24:09,120 Speaker 1: These are guinea pigs that are raised in the same 419 00:24:09,119 --> 00:24:11,960 Speaker 1: way that you would raise pigs, like it's literally the same, 420 00:24:12,320 --> 00:24:16,120 Speaker 1: and it's in certain regions, and there's different historical there's 421 00:24:16,160 --> 00:24:18,720 Speaker 1: different history there, right, And so I can see it 422 00:24:18,800 --> 00:24:23,360 Speaker 1: already with like with different groups, even within the Latin 423 00:24:23,359 --> 00:24:24,520 Speaker 1: American community. 424 00:24:24,960 --> 00:24:28,280 Speaker 2: And gooya is delicious. When we went to Peru, I hadkoy, 425 00:24:28,359 --> 00:24:33,080 Speaker 2: I had guinea pig, and it was bomb just saying yeah, yumy. 426 00:24:35,440 --> 00:24:38,840 Speaker 1: But I mean back to back to the comments that 427 00:24:39,280 --> 00:24:41,639 Speaker 1: Trump made, you know, and as you were saying, like, 428 00:24:41,680 --> 00:24:44,639 Speaker 1: the base doesn't need a lot to run with. And 429 00:24:44,720 --> 00:24:48,919 Speaker 1: so according to various different news outlets that we're citing here, 430 00:24:49,600 --> 00:24:54,119 Speaker 1: like ABC, News, AP News, and The Washington Post. After 431 00:24:54,200 --> 00:24:57,480 Speaker 1: the debate, the city of Springfield, Ohio started receiving bomb 432 00:24:57,560 --> 00:25:01,760 Speaker 1: threats less than two days afterwards, and on Thursday, September 433 00:25:01,800 --> 00:25:05,000 Speaker 1: twelveth six buildings were targeted and had to be closed. 434 00:25:05,760 --> 00:25:08,920 Speaker 1: The mayor came out, Rob Rue and said that the threats, 435 00:25:09,320 --> 00:25:12,640 Speaker 1: the threats that they received used hateful language towards immigrants 436 00:25:12,680 --> 00:25:17,080 Speaker 1: and Haitians in our community. Additionally, on September twenty third, 437 00:25:17,640 --> 00:25:21,000 Speaker 1: there were more bomb threats sent via email and targeted 438 00:25:21,160 --> 00:25:26,200 Speaker 1: three schools and other city official buildings. And on Sunday, 439 00:25:26,200 --> 00:25:30,320 Speaker 1: September fifteenth, a university in Springfield faced a school shooting 440 00:25:30,359 --> 00:25:32,680 Speaker 1: threat and a bomb threat, and the threats were also 441 00:25:32,720 --> 00:25:36,280 Speaker 1: sent via email and targeted members of the local Haitian community. 442 00:25:36,320 --> 00:25:39,320 Speaker 1: According to Wittenberg University, it's. 443 00:25:39,240 --> 00:25:45,080 Speaker 2: Very scary, and it's also like, okay, so this statement 444 00:25:45,200 --> 00:25:51,720 Speaker 2: is enough for people to make bomb threats and you're 445 00:25:51,840 --> 00:25:58,159 Speaker 2: threatening to destroy infrastructure to take lives, and I think 446 00:25:58,240 --> 00:26:03,280 Speaker 2: that it's just very telling. It's very wild, you know, 447 00:26:04,040 --> 00:26:07,879 Speaker 2: and it's very scary. And we know that unfortunately, we 448 00:26:08,000 --> 00:26:13,960 Speaker 2: know that the American our citizenry is willing and capable, 449 00:26:14,240 --> 00:26:16,840 Speaker 2: like willing to and capable of like carrying out threats 450 00:26:16,880 --> 00:26:18,960 Speaker 2: like that. We've had so many bombings in this country 451 00:26:20,200 --> 00:26:25,040 Speaker 2: and shootings that have been perpetrated by American citizens. You know, 452 00:26:25,200 --> 00:26:28,200 Speaker 2: it's like it's it's kind of we're kind of known 453 00:26:28,240 --> 00:26:28,520 Speaker 2: for it. 454 00:26:28,800 --> 00:26:29,440 Speaker 1: Yeah, we are. 455 00:26:29,640 --> 00:26:32,919 Speaker 2: We're nobly that globally. And it's very terrifying because you 456 00:26:33,000 --> 00:26:35,720 Speaker 2: can't look at something like this and say, oh, they're 457 00:26:35,800 --> 00:26:38,600 Speaker 2: just oh it's not you know that, because something could happen. 458 00:26:38,720 --> 00:26:41,679 Speaker 1: Yeah, Like in this case, like these claims are actually 459 00:26:41,680 --> 00:26:44,639 Speaker 1: not baseless because there's precedent, Like we know that this 460 00:26:44,680 --> 00:26:47,600 Speaker 1: could actually happen because it has. It happened several weeks ago, 461 00:26:48,320 --> 00:26:52,160 Speaker 1: So the threats are taken seriously. And I think that 462 00:26:52,160 --> 00:26:55,680 Speaker 1: that is another example as to why, like we can't 463 00:26:55,720 --> 00:27:00,480 Speaker 1: control what someone like Trump or someone in general, right 464 00:27:00,560 --> 00:27:03,600 Speaker 1: a bad politician or is someone in a position of power. 465 00:27:03,600 --> 00:27:06,080 Speaker 1: We can't control what they say, but I think we 466 00:27:06,160 --> 00:27:08,879 Speaker 1: can control how we then receive it and process it 467 00:27:08,920 --> 00:27:11,720 Speaker 1: and distribute that information. And in this case, we're doing 468 00:27:11,800 --> 00:27:16,160 Speaker 1: it via memes. And it's like, Okay, let's reflect on this, 469 00:27:16,440 --> 00:27:19,960 Speaker 1: Like what is the point of sharing this meme right now? 470 00:27:20,560 --> 00:27:23,440 Speaker 1: Like is it for shits and gigs, like is it funny? 471 00:27:24,480 --> 00:27:27,000 Speaker 1: And who is it harming? Like who is the laughter 472 00:27:27,320 --> 00:27:31,920 Speaker 1: actually harming? Because it's not harming Trump, it's like harming 473 00:27:32,000 --> 00:27:34,280 Speaker 1: the real community that's at the butt of the joke. Well, 474 00:27:35,160 --> 00:27:36,560 Speaker 1: Trump didn't say it as a joke, but. 475 00:27:36,560 --> 00:27:39,359 Speaker 2: We're then turning. 476 00:27:38,640 --> 00:27:40,959 Speaker 1: It into a joke and it's still the same person, 477 00:27:41,080 --> 00:27:44,119 Speaker 1: the same community that's being harmed at the butt of 478 00:27:44,160 --> 00:27:44,480 Speaker 1: the joke. 479 00:27:44,960 --> 00:27:49,080 Speaker 2: Absolutely absolutely, And going back to the topic of the 480 00:27:49,119 --> 00:27:53,240 Speaker 2: food of it all right, and targeting like immigrant communities 481 00:27:53,280 --> 00:27:56,879 Speaker 2: and allegedly what immigrant communities are eating. It reminds me 482 00:27:57,240 --> 00:27:59,800 Speaker 2: of a class that I took as an undergrad at 483 00:27:59,800 --> 00:28:03,679 Speaker 2: times called Race in America with Professor gen Wu, who 484 00:28:03,720 --> 00:28:05,879 Speaker 2: has since passed away. Rest in peace, gene Wu. But 485 00:28:06,440 --> 00:28:10,080 Speaker 2: gene Wu was an Asian American professor who taught this 486 00:28:10,200 --> 00:28:12,960 Speaker 2: course and this is all about the construction of race 487 00:28:13,320 --> 00:28:16,840 Speaker 2: and ethnicity in the United States, something that's socially and 488 00:28:16,960 --> 00:28:21,119 Speaker 2: legally constructed. And I remember there was one lecture in 489 00:28:21,160 --> 00:28:25,240 Speaker 2: particular where she talked about like instances on campus where 490 00:28:25,680 --> 00:28:32,840 Speaker 2: students of color like received backlash or were targeted with 491 00:28:32,880 --> 00:28:35,239 Speaker 2: hate speech around their food and the foods that they 492 00:28:35,280 --> 00:28:38,160 Speaker 2: were eating or warming up in their dorms what have you. 493 00:28:38,640 --> 00:28:42,000 Speaker 2: And she was talking about how it's not just it's 494 00:28:42,040 --> 00:28:45,280 Speaker 2: not just like rude or hateful, but when you think 495 00:28:45,280 --> 00:28:47,560 Speaker 2: about what a person eats, this is the thing that 496 00:28:47,680 --> 00:28:50,280 Speaker 2: keeps them alive, you know, this is the thing that 497 00:28:50,400 --> 00:28:55,160 Speaker 2: sustains their cells and keeps us going and healthy. And 498 00:28:55,240 --> 00:28:57,920 Speaker 2: for a lot of folks, your food is something that's 499 00:28:58,000 --> 00:29:01,800 Speaker 2: passed down generationally. Your mom taught you how to make it, 500 00:29:01,920 --> 00:29:04,800 Speaker 2: or your dad or your grandparents, and you have all 501 00:29:04,840 --> 00:29:08,920 Speaker 2: these memories surrounding food and holidays, and it's the symbol 502 00:29:09,000 --> 00:29:12,400 Speaker 2: of tenderness and care. And so when you're targeting someone's 503 00:29:12,560 --> 00:29:16,920 Speaker 2: food and their food choices and their food culture, how 504 00:29:16,920 --> 00:29:20,520 Speaker 2: it's just so much bigger than the meal that they're eating. 505 00:29:22,000 --> 00:29:24,920 Speaker 2: And I think it's it's horrible, but it is interesting 506 00:29:25,040 --> 00:29:28,880 Speaker 2: how over and over again, like the racist stereotypes do 507 00:29:29,040 --> 00:29:32,720 Speaker 2: tend to fall on the food choices and the food culture. 508 00:29:32,840 --> 00:29:35,800 Speaker 2: And so what is really being said, you know, how 509 00:29:35,800 --> 00:29:38,320 Speaker 2: about the people at the core? We don't want you 510 00:29:38,360 --> 00:29:41,200 Speaker 2: to eat, We don't even want you to nourish yourself, 511 00:29:41,760 --> 00:29:45,160 Speaker 2: much less be here and participate in America. 512 00:29:45,960 --> 00:29:51,040 Speaker 1: Yeah, absolutely, there's like these different signals or yeah, dog 513 00:29:51,080 --> 00:29:55,960 Speaker 1: whistles for certain ethnic groups, right, like for Mexicans coming 514 00:29:56,200 --> 00:29:59,200 Speaker 1: during the Bassetto program, it was like the lazy Mexican, 515 00:30:00,160 --> 00:30:02,760 Speaker 1: the dirty Mexican, the smelly Mexican. 516 00:30:02,400 --> 00:30:03,000 Speaker 2: If you will. 517 00:30:03,240 --> 00:30:05,760 Speaker 1: And I think that the food and hygiene part of 518 00:30:05,800 --> 00:30:09,240 Speaker 1: it is so interconnected, and we see that, I think 519 00:30:09,280 --> 00:30:12,600 Speaker 1: with all ethnicities that kind of being wielded against us, 520 00:30:13,120 --> 00:30:16,960 Speaker 1: where it's like you eat your food is quote nasty, 521 00:30:17,080 --> 00:30:20,200 Speaker 1: it's gross. You also smell bad, right. 522 00:30:20,480 --> 00:30:25,240 Speaker 2: Like dang damn, okay, okay, thanks a lot. 523 00:30:25,560 --> 00:30:29,640 Speaker 1: Yeah, I'm like, oh, actually, like Europeans didn't bathe So actually, 524 00:30:29,720 --> 00:30:31,080 Speaker 1: who's the one that smells bad? 525 00:30:31,360 --> 00:30:32,320 Speaker 2: Right? Right? Right? 526 00:30:32,320 --> 00:30:34,760 Speaker 1: Because when I see a Latino walk by, she smells 527 00:30:34,800 --> 00:30:38,880 Speaker 1: so good, like it just waves like all the body spray. 528 00:30:39,160 --> 00:30:41,440 Speaker 2: I can smell the cologne from a block away. Literally, 529 00:30:41,640 --> 00:30:43,400 Speaker 2: I know what Latino is around the corner. I can 530 00:30:43,520 --> 00:30:46,360 Speaker 2: smell him before I can see him. 531 00:30:46,760 --> 00:30:48,400 Speaker 1: In a good way, but in a good way and 532 00:30:48,480 --> 00:30:51,880 Speaker 1: a good way yes yeah yeah. And so it just 533 00:30:52,840 --> 00:30:57,040 Speaker 1: is really like we don't have to perpetuate any of 534 00:30:57,080 --> 00:31:00,680 Speaker 1: this rhetoric, even if it's a joke. We don't have 535 00:31:00,760 --> 00:31:03,760 Speaker 1: to be agents of that so we can choose not 536 00:31:03,800 --> 00:31:05,880 Speaker 1: to be. And it's not to shame anyone that's like 537 00:31:06,320 --> 00:31:09,320 Speaker 1: shared a meme or made a meme, you know, But 538 00:31:09,400 --> 00:31:11,800 Speaker 1: it's more so getting us to think about, like, is 539 00:31:11,840 --> 00:31:14,480 Speaker 1: that the best thing we should be doing when things 540 00:31:14,560 --> 00:31:15,280 Speaker 1: like this happen? 541 00:31:15,560 --> 00:31:18,920 Speaker 2: Yeah, and not to mention stuff like this happens, and 542 00:31:18,960 --> 00:31:21,520 Speaker 2: nobody ever talks about what about the kids? Should the 543 00:31:21,560 --> 00:31:23,800 Speaker 2: kids be hearing this? Should the kids be seeing this? 544 00:31:24,480 --> 00:31:27,520 Speaker 2: Protect the kids? Protect the kids. You know, this is 545 00:31:27,560 --> 00:31:30,840 Speaker 2: the type of thing that children would repeat, right, and 546 00:31:30,960 --> 00:31:34,160 Speaker 2: do share and do talk about and joke around about 547 00:31:34,160 --> 00:31:38,400 Speaker 2: at school and on the playground. And they're online too, 548 00:31:38,560 --> 00:31:41,480 Speaker 2: and they're sending dms to each other and they're in 549 00:31:41,520 --> 00:31:45,240 Speaker 2: the comment section and they're posting. It's always what about 550 00:31:45,240 --> 00:31:47,600 Speaker 2: the kids when it comes to like the alleged you know, 551 00:31:48,080 --> 00:31:50,760 Speaker 2: trans issue, correct, then it's all about the kids. It's 552 00:31:50,760 --> 00:31:53,360 Speaker 2: all about the kids. But something like this happens, and 553 00:31:53,640 --> 00:31:56,680 Speaker 2: I don't see that same. We're not jumping to protect 554 00:31:56,720 --> 00:32:00,440 Speaker 2: the kids from being agents of evil and perpetuating hate speech. 555 00:32:01,080 --> 00:32:05,040 Speaker 1: Right, Yeah, that's a good point, because kids will repeat 556 00:32:05,080 --> 00:32:08,640 Speaker 1: what they hear. And I love that you brought that 557 00:32:08,720 --> 00:32:13,440 Speaker 1: up because Roxane Gay wrote an article in The New 558 00:32:13,520 --> 00:32:18,560 Speaker 1: Yorker recently really because of the comments that were made 559 00:32:18,640 --> 00:32:21,440 Speaker 1: and then how it became so viral. She wrote this 560 00:32:22,840 --> 00:32:25,800 Speaker 1: essay titled The Haitian Question. She writes about what it 561 00:32:25,840 --> 00:32:29,120 Speaker 1: was like growing up as a first gen Haitian American 562 00:32:29,440 --> 00:32:33,720 Speaker 1: in Nebraska and the comments she would receive from her peers, 563 00:32:34,280 --> 00:32:37,680 Speaker 1: even being in elementary school where they didn't really understand 564 00:32:38,840 --> 00:32:41,880 Speaker 1: why her parents had accents and why they were light skinned, 565 00:32:41,920 --> 00:32:44,360 Speaker 1: but they kind of looked ethnic in her words, and 566 00:32:44,440 --> 00:32:48,760 Speaker 1: so in this article, you know, she writes about how 567 00:32:48,880 --> 00:32:53,560 Speaker 1: her mother went to the elementary school and well asked 568 00:32:53,680 --> 00:32:55,360 Speaker 1: the principle, like can I go and do a little 569 00:32:55,400 --> 00:32:59,640 Speaker 1: mini presentation? Literally took a globe, spun it and was 570 00:32:59,680 --> 00:33:02,280 Speaker 1: like this where Haitius, this is where we're from. Brought 571 00:33:02,320 --> 00:33:05,760 Speaker 1: them all like fried plantains to eat, and she said, 572 00:33:05,760 --> 00:33:08,240 Speaker 1: we didn't have problems after that because they understood. The 573 00:33:08,360 --> 00:33:10,959 Speaker 1: kids finally got it. But of course kids get older, 574 00:33:11,160 --> 00:33:14,000 Speaker 1: schools change, and she continued to have more problems and 575 00:33:14,040 --> 00:33:17,760 Speaker 1: more issues with the racism that she was facing. And 576 00:33:17,840 --> 00:33:20,080 Speaker 1: so she details all of this in The New Yorker, 577 00:33:20,720 --> 00:33:23,760 Speaker 1: and one of the things that she writes is the 578 00:33:23,800 --> 00:33:26,680 Speaker 1: implications of what it means when we turn everything into 579 00:33:26,760 --> 00:33:28,920 Speaker 1: a joke, and so I want to read quote what 580 00:33:29,040 --> 00:33:31,960 Speaker 1: she said, Roxange writes, and then we joke about red 581 00:33:31,960 --> 00:33:35,520 Speaker 1: hats and making America great again and fake news, antiki 582 00:33:35,560 --> 00:33:39,400 Speaker 1: torches and seasoning pets. There's an endless parade of memes. 583 00:33:39,600 --> 00:33:43,400 Speaker 1: Further capitulation letting Republicans know that you're fine with allowing 584 00:33:43,440 --> 00:33:46,400 Speaker 1: them to dictate reality. You're letting them know that you 585 00:33:46,520 --> 00:33:50,400 Speaker 1: too believe Haitians are acceptable targets for mockery. You're welcome 586 00:33:50,440 --> 00:33:53,479 Speaker 1: to play by their rules. Anything can be fodder for humor. 587 00:33:54,720 --> 00:33:58,120 Speaker 2: Absolutely, absolutely, And I think over the years there's been 588 00:33:58,120 --> 00:34:01,480 Speaker 2: a lot more focus on like come and what comedians 589 00:34:01,480 --> 00:34:04,200 Speaker 2: get away with and what we should be pushing back on. 590 00:34:04,240 --> 00:34:07,120 Speaker 2: When it comes to comics, there's this idea that, well, 591 00:34:07,320 --> 00:34:09,560 Speaker 2: I say it in the form of a joke with 592 00:34:09,640 --> 00:34:12,520 Speaker 2: a setup and a punchline, then it's a joke now, 593 00:34:12,680 --> 00:34:16,520 Speaker 2: which makes it something different and makes it sort of 594 00:34:16,760 --> 00:34:22,240 Speaker 2: like free from our whatever expectations we have for regular 595 00:34:22,280 --> 00:34:24,480 Speaker 2: everyday speech, Like if it's a joke, then it can't 596 00:34:24,480 --> 00:34:28,200 Speaker 2: be hate speech, when that can't be farther from the truth, right, 597 00:34:28,280 --> 00:34:31,120 Speaker 2: And so I appreciate her bringing that in because I 598 00:34:31,120 --> 00:34:33,480 Speaker 2: think that's always the well, it's just the retort. It's 599 00:34:33,520 --> 00:34:35,719 Speaker 2: just a joke. It's just a joke. A joke is 600 00:34:35,760 --> 00:34:38,920 Speaker 2: any is just like any other form of speaking. It's 601 00:34:39,000 --> 00:34:42,680 Speaker 2: it's human communication. It's the style. It has its own style, 602 00:34:42,719 --> 00:34:46,480 Speaker 2: but it's still human communication for an audience, for the masses. 603 00:34:46,760 --> 00:34:50,279 Speaker 2: I think it's also really important that it's so. I think, 604 00:34:50,320 --> 00:34:52,520 Speaker 2: and even to this day, there's going to be large 605 00:34:52,560 --> 00:34:55,040 Speaker 2: parts of the American population who have never met a 606 00:34:55,080 --> 00:34:58,440 Speaker 2: Haitian person, who don't know where Haiti is, and so 607 00:34:58,640 --> 00:35:02,480 Speaker 2: this statement could be their very first introduction to the 608 00:35:02,480 --> 00:35:06,160 Speaker 2: Haitian community and what it means to be a person 609 00:35:06,160 --> 00:35:09,040 Speaker 2: from Haiti. And you know, I didn't meet anyone from 610 00:35:09,080 --> 00:35:11,919 Speaker 2: Haiti until I went to college. Until I was an undergraduate, 611 00:35:11,960 --> 00:35:14,279 Speaker 2: and I was in Boston, Massachusetts, and so there was 612 00:35:14,320 --> 00:35:17,799 Speaker 2: a much larger Caribbean community there that is just not 613 00:35:17,960 --> 00:35:21,799 Speaker 2: present in la at least not at the time. Right 614 00:35:21,840 --> 00:35:24,720 Speaker 2: I went to undergrad in twenty ten, I went to Tufts, 615 00:35:25,320 --> 00:35:27,640 Speaker 2: and so I met a lot of people that I 616 00:35:27,680 --> 00:35:30,640 Speaker 2: would not have met otherwise unless I had traveled to 617 00:35:30,719 --> 00:35:34,680 Speaker 2: places where these communities are in larger numbers, and so 618 00:35:34,800 --> 00:35:38,000 Speaker 2: it's very possible in this country to just like have 619 00:35:38,200 --> 00:35:41,120 Speaker 2: very limited exposure to different types of people depending on 620 00:35:41,160 --> 00:35:43,759 Speaker 2: where you live. So it would be awful if, like 621 00:35:43,920 --> 00:35:47,160 Speaker 2: your kid, the first thing that they know about this 622 00:35:47,200 --> 00:35:50,399 Speaker 2: community is a piece of racist propaganda that they saw 623 00:35:50,560 --> 00:35:53,680 Speaker 2: in a meme on TikTok, Because then what do they 624 00:35:53,719 --> 00:35:56,160 Speaker 2: do with that? Right, They have no context, they don't 625 00:35:56,200 --> 00:35:56,920 Speaker 2: know what's going on. 626 00:35:59,280 --> 00:36:01,680 Speaker 1: Yeah, that's a really valid point because it's not just 627 00:36:01,760 --> 00:36:06,360 Speaker 1: the memes. It's like the TikTok platform lends itself to 628 00:36:06,760 --> 00:36:10,040 Speaker 1: like the music, the dances. I know, it's moved away 629 00:36:10,080 --> 00:36:13,760 Speaker 1: from being a dancing platform, if you will, But even 630 00:36:13,800 --> 00:36:17,120 Speaker 1: with this, there were there have been dances made, you know, 631 00:36:17,280 --> 00:36:19,560 Speaker 1: to the song. There's been a remix, a song made. 632 00:36:19,560 --> 00:36:21,960 Speaker 1: It's not even a song, but songs and remixes have 633 00:36:22,080 --> 00:36:26,560 Speaker 1: been made to Trump's SoundBite. And so the way that 634 00:36:26,680 --> 00:36:31,719 Speaker 1: the SoundBite has then traveled and transformed into memes and 635 00:36:31,840 --> 00:36:35,160 Speaker 1: in a way pop culture because we're replicating it and 636 00:36:35,200 --> 00:36:37,719 Speaker 1: we're passing it along and we're laughing at it, and 637 00:36:37,760 --> 00:36:39,880 Speaker 1: it's going to be in the zeitgeist forever. 638 00:36:40,160 --> 00:36:43,480 Speaker 2: Yeah, honestly, if it's not already on SNL, it will be. 639 00:36:44,000 --> 00:36:45,880 Speaker 2: I don't know if they've done a sketch yet, but 640 00:36:45,960 --> 00:36:47,400 Speaker 2: it's probably coming up. 641 00:36:47,640 --> 00:36:52,120 Speaker 1: Right, right. Yeah. So I think all this to say, 642 00:36:54,040 --> 00:36:56,319 Speaker 1: I don't know, I don't know what to say. All 643 00:36:56,320 --> 00:36:58,000 Speaker 1: this to say, don't. 644 00:36:57,800 --> 00:37:03,680 Speaker 2: Spreadshit, don't spread rassropaganda. The devil doesn't need an advocate. 645 00:37:03,840 --> 00:37:06,480 Speaker 1: Yes, that's one of my favorite things. The devil does 646 00:37:06,520 --> 00:37:07,480 Speaker 1: not need an advocate. 647 00:37:07,719 --> 00:37:10,880 Speaker 2: And here you are volunteering, yeah, to do it for free, 648 00:37:10,920 --> 00:37:13,080 Speaker 2: and nobody even asked you, right. 649 00:37:13,239 --> 00:37:15,760 Speaker 1: Right, And I think, you know, with someone like Kamala, 650 00:37:15,840 --> 00:37:21,440 Speaker 1: who's team has very much embraced like online culture, her campaign, 651 00:37:21,480 --> 00:37:25,080 Speaker 1: at least her campaign has embraced online culture and meme culture. 652 00:37:25,200 --> 00:37:29,080 Speaker 1: I'm not sure if they've created any memes about this, right, 653 00:37:29,640 --> 00:37:33,680 Speaker 1: But it's like, we don't have to repost everything. We 654 00:37:33,719 --> 00:37:36,239 Speaker 1: don't have to do it just because other people are 655 00:37:36,280 --> 00:37:39,880 Speaker 1: doing it, you know. It's like really right now or 656 00:37:40,000 --> 00:37:44,279 Speaker 1: how I'm feeling and I'm thinking is like one, it's 657 00:37:44,320 --> 00:37:47,400 Speaker 1: okay to one, it's okay to be different, you know, 658 00:37:47,480 --> 00:37:49,120 Speaker 1: like we don't have to do it just because like 659 00:37:49,160 --> 00:37:51,560 Speaker 1: it's content and everything should be content. Like we don't 660 00:37:51,560 --> 00:37:54,880 Speaker 1: actually have to make everything into content. And two, not 661 00:37:54,960 --> 00:37:58,239 Speaker 1: everything should be a joke, like not everything can be 662 00:37:58,320 --> 00:38:00,360 Speaker 1: a joke, should be a joke, and not everything is 663 00:38:00,440 --> 00:38:03,160 Speaker 1: funny and really thinking about who's at the heart of 664 00:38:03,200 --> 00:38:03,600 Speaker 1: the joke. 665 00:38:04,120 --> 00:38:10,759 Speaker 2: Yeah, and you might be participating in like generations of 666 00:38:10,840 --> 00:38:14,399 Speaker 2: racism without even realizing it. Yeah, you know, this thing 667 00:38:14,480 --> 00:38:16,760 Speaker 2: is not an original thing. It's not an original thought. 668 00:38:16,960 --> 00:38:19,360 Speaker 2: And I don't know. I think it's important to like 669 00:38:19,719 --> 00:38:22,680 Speaker 2: what legacy are we situating ourselves in, you know, this 670 00:38:22,800 --> 00:38:25,279 Speaker 2: idea of like are you on the right side of 671 00:38:25,360 --> 00:38:29,080 Speaker 2: history with this? And do you want it in your 672 00:38:29,120 --> 00:38:32,799 Speaker 2: digital footprint? And then when the aliens are like, you know, 673 00:38:33,120 --> 00:38:36,560 Speaker 2: analyzing what we've left, do you want them to think 674 00:38:36,600 --> 00:38:38,160 Speaker 2: that you were spreading propaganda? 675 00:38:38,680 --> 00:38:41,640 Speaker 1: Yeah, and I'll be honest to be fully transparent. Right 676 00:38:41,640 --> 00:38:45,839 Speaker 1: the night after the election, someone made a meme. It 677 00:38:45,920 --> 00:38:49,320 Speaker 1: was like something pulled from Twitter that then was posted 678 00:38:49,360 --> 00:38:52,520 Speaker 1: on Instagram that then I cross posted because somebody shared it, 679 00:38:52,560 --> 00:38:56,359 Speaker 1: and it was about, you know, Trump said something that 680 00:38:56,560 --> 00:39:02,000 Speaker 1: was like they're doing operations, sex change operations on illegal aliens, right, 681 00:39:02,600 --> 00:39:04,160 Speaker 1: And so then there was a meme of like an 682 00:39:04,200 --> 00:39:08,359 Speaker 1: alien like in drag Lord, and I did share it 683 00:39:08,600 --> 00:39:12,040 Speaker 1: and then afterwards I was like, no, like we're because 684 00:39:12,080 --> 00:39:14,480 Speaker 1: to me, I'm like, yeah, that to me in that moment, 685 00:39:14,680 --> 00:39:17,400 Speaker 1: I also thought it was funny, but I'm like, no, we're. 686 00:39:17,719 --> 00:39:20,720 Speaker 1: After I did some reflecting, I thought like, we're back 687 00:39:21,760 --> 00:39:26,239 Speaker 1: to using the term illegal aliens like it's normal. We're 688 00:39:26,239 --> 00:39:29,279 Speaker 1: normalizing it again, even in a joke. And so I 689 00:39:29,280 --> 00:39:32,319 Speaker 1: did some reflection on that, and then that got me 690 00:39:32,400 --> 00:39:36,279 Speaker 1: thinking about all of this because I was seeing all 691 00:39:36,280 --> 00:39:38,240 Speaker 1: the memes. I was seeing the two sets of memes, 692 00:39:38,719 --> 00:39:42,839 Speaker 1: the quote illegal aliens getting sex change operations and then 693 00:39:43,200 --> 00:39:46,000 Speaker 1: the dogs and cats memes. So I was seeing both 694 00:39:46,760 --> 00:39:49,640 Speaker 1: and one I interacted with one I didn't, and then 695 00:39:49,680 --> 00:39:53,200 Speaker 1: I really got me thinking about all of this and like, yeah, 696 00:39:53,480 --> 00:39:56,440 Speaker 1: it can be funny, but now we're normalizing, even in 697 00:39:56,480 --> 00:39:59,080 Speaker 1: a joke, saying illegal aliens again. And we've made a 698 00:39:59,120 --> 00:40:02,239 Speaker 1: lot of progress, Yes, that's true, by like news outlets, 699 00:40:03,200 --> 00:40:06,200 Speaker 1: by our own government, by elected officials like not saying 700 00:40:06,239 --> 00:40:10,080 Speaker 1: illegal aliens, so we say undocumented people, undocumented communities. But 701 00:40:10,160 --> 00:40:12,960 Speaker 1: we're reverting in that way. To your point, Mala, like, 702 00:40:13,080 --> 00:40:15,160 Speaker 1: on what side of history do you want to be on? 703 00:40:15,360 --> 00:40:18,080 Speaker 1: And what is in your digital footprint? Because all of 704 00:40:18,120 --> 00:40:19,480 Speaker 1: it is in our digital footprint. 705 00:40:19,840 --> 00:40:23,360 Speaker 2: Yeah. And if you consider yourself liberal and the memes 706 00:40:23,400 --> 00:40:27,720 Speaker 2: you're making or sharing look exactly like the Republican conservative memes, 707 00:40:27,840 --> 00:40:30,440 Speaker 2: we have a big problem. Yes, even if your intention 708 00:40:30,600 --> 00:40:34,560 Speaker 2: in tone you think are different, Like what's the final product, 709 00:40:34,640 --> 00:40:35,759 Speaker 2: what's the outcome of it all? 710 00:40:36,000 --> 00:40:40,120 Speaker 1: Absolutely? Yeah, absolutely, So I think this is just as 711 00:40:40,160 --> 00:40:44,319 Speaker 1: Lokatoa has transformed. I think that you know, when we 712 00:40:44,360 --> 00:40:48,759 Speaker 1: started the show, it was like chronically online, and we 713 00:40:48,880 --> 00:40:52,320 Speaker 1: still are, but it's like, how can we be smarter online? 714 00:40:52,400 --> 00:40:56,799 Speaker 1: You know, how can we do things differently online? How 715 00:40:56,840 --> 00:40:59,279 Speaker 1: can we maybe do think about ethics in a way 716 00:40:59,280 --> 00:41:01,920 Speaker 1: we did it We weren't about an early twenties, but 717 00:41:02,080 --> 00:41:06,160 Speaker 1: now as like full fledged adults thinking about how are 718 00:41:06,200 --> 00:41:09,000 Speaker 1: we as a culture and society using social media for 719 00:41:09,120 --> 00:41:11,279 Speaker 1: good or for bad? 720 00:41:11,920 --> 00:41:16,640 Speaker 2: It's unfortunate that these topics, you know, there's always new examples, 721 00:41:17,120 --> 00:41:20,160 Speaker 2: and so we come back to these issues because they 722 00:41:20,200 --> 00:41:23,920 Speaker 2: persist and they're ongoing. So let's talk about it. And 723 00:41:23,960 --> 00:41:25,719 Speaker 2: we know that we have some listeners who have been 724 00:41:25,719 --> 00:41:29,680 Speaker 2: listening since episode one, but we have new listeners and 725 00:41:29,920 --> 00:41:32,080 Speaker 2: listeners who maybe are a little bit younger, and so 726 00:41:32,600 --> 00:41:34,719 Speaker 2: we like to come back to these examples and like, 727 00:41:35,760 --> 00:41:38,720 Speaker 2: this stuff is current, this is ongoing, and there's always 728 00:41:38,800 --> 00:41:42,239 Speaker 2: room to question and to challenge and to reflect. 729 00:41:42,480 --> 00:41:46,440 Speaker 1: Absolutely and then spread it, like spread that information and 730 00:41:46,480 --> 00:41:50,040 Speaker 1: knowledge with your friends and family, because yeah, I think 731 00:41:50,080 --> 00:41:52,480 Speaker 1: at look at Tora. We don't want to shame anyone. 732 00:41:52,560 --> 00:41:54,360 Speaker 1: And that's why I wanted to give that example of 733 00:41:54,400 --> 00:41:57,680 Speaker 1: like I did it too, like with the other meme, right, 734 00:41:58,239 --> 00:42:01,160 Speaker 1: And then that led me to solve, reflect and think 735 00:42:01,200 --> 00:42:04,319 Speaker 1: about like, no, this should not be funny, you know, 736 00:42:04,400 --> 00:42:09,360 Speaker 1: and memes have a way of because they're visual being funny, 737 00:42:09,640 --> 00:42:12,000 Speaker 1: Like they can be funny regardless of what the meme is. 738 00:42:12,760 --> 00:42:16,719 Speaker 1: But it goes back to like not everything should be 739 00:42:16,719 --> 00:42:20,520 Speaker 1: content and not everything should be memified. Right, we're memifying 740 00:42:20,560 --> 00:42:22,120 Speaker 1: evil in real time. 741 00:42:22,920 --> 00:42:27,440 Speaker 2: Yeah, the memification of evil. It's pretty dire and it 742 00:42:27,520 --> 00:42:31,040 Speaker 2: sneaks up on you. Thanks for listening, y'all. This was 743 00:42:31,320 --> 00:42:35,360 Speaker 2: a more cerebral episode than we've well we always do. 744 00:42:35,400 --> 00:42:36,400 Speaker 2: We're very cepri very. 745 00:42:36,960 --> 00:42:40,880 Speaker 1: We're always if you could see our text threat, oh. 746 00:42:40,760 --> 00:42:44,680 Speaker 2: Lord, oh lord. We're always thinking. We're thinking of brilliant 747 00:42:44,719 --> 00:42:47,080 Speaker 2: thoughts all day, every day, just so we can come 748 00:42:47,120 --> 00:42:50,080 Speaker 2: on here and share with you our loving, adoring audience 749 00:42:50,160 --> 00:42:51,720 Speaker 2: that we appreciate so much. 750 00:42:52,800 --> 00:42:57,120 Speaker 1: Yes, thank you for listening to another capitolo of Look 751 00:42:57,120 --> 00:43:00,200 Speaker 1: At a Radio. Let us know what you think, leave 752 00:43:00,280 --> 00:43:04,080 Speaker 1: a review, leave a comment on socials. We want to 753 00:43:04,120 --> 00:43:06,759 Speaker 1: know what you think of this episode and we'll catch 754 00:43:06,760 --> 00:43:11,280 Speaker 1: you next times. Loka to a Radio is executive produced 755 00:43:11,320 --> 00:43:13,560 Speaker 1: by Viosa Fem and Mala Munios. 756 00:43:13,719 --> 00:43:15,640 Speaker 2: Stephanie Franco is our producer. 757 00:43:16,040 --> 00:43:18,640 Speaker 1: Story editing by Me Viosa. 758 00:43:18,440 --> 00:43:20,160 Speaker 2: Creative direction by me Mala. 759 00:43:20,360 --> 00:43:22,960 Speaker 1: Look At a Radio is a part of iHeartRadio's Michael 760 00:43:23,040 --> 00:43:24,320 Speaker 1: Tura podcast Network. 761 00:43:24,520 --> 00:43:27,400 Speaker 2: You can listen to Locata Radio on the iHeartRadio app 762 00:43:27,480 --> 00:43:29,160 Speaker 2: or wherever you get your podcasts. 763 00:43:29,360 --> 00:43:31,600 Speaker 1: Leave us a review and share with your prima or 764 00:43:31,640 --> 00:43:32,560 Speaker 1: share with your homegirl. 765 00:43:32,719 --> 00:43:35,200 Speaker 2: And thank you to our local motes. To our listeners 766 00:43:35,200 --> 00:43:36,759 Speaker 2: for tuning in each and every week. 767 00:43:36,920 --> 00:43:44,000 Speaker 1: Besitos Loga