1 00:00:05,160 --> 00:00:07,480 Speaker 1: Hey, this is Annie and Samantha and welcome stuff. I 2 00:00:07,480 --> 00:00:19,520 Speaker 1: never told you production I hurt radio and today we 3 00:00:19,560 --> 00:00:22,560 Speaker 1: are once again so happy to be joined by friend 4 00:00:22,560 --> 00:00:24,640 Speaker 1: of the show, friend in real life, Joey. 5 00:00:24,760 --> 00:00:25,919 Speaker 2: Welcome Joey. 6 00:00:26,079 --> 00:00:31,280 Speaker 3: Hello, thanks for having me for once not talking about 7 00:00:31,360 --> 00:00:33,320 Speaker 3: Star Wars or ball or anything. 8 00:00:34,200 --> 00:00:36,199 Speaker 4: I have a feeling somebody's gonna sneak it in, so 9 00:00:36,680 --> 00:00:39,160 Speaker 4: you know, honestly, I. 10 00:00:39,080 --> 00:00:43,000 Speaker 3: Do have I do have a small tangent about We'll 11 00:00:43,000 --> 00:00:43,319 Speaker 3: get in. 12 00:00:43,240 --> 00:00:48,480 Speaker 5: To that, but yeah, reporting live from Zora and mom 13 00:00:48,560 --> 00:00:54,000 Speaker 5: Donnie's New York City. There's uh hammer and circle flags 14 00:00:54,120 --> 00:00:57,120 Speaker 5: raised everywhere, riding in the street. 15 00:00:58,200 --> 00:01:00,360 Speaker 2: You know, I knew it. 16 00:01:00,360 --> 00:01:04,640 Speaker 3: It's been crazy time to be alive, crazy time. 17 00:01:04,480 --> 00:01:05,039 Speaker 2: To be alive. 18 00:01:05,560 --> 00:01:06,520 Speaker 6: What a time to be alive. 19 00:01:07,400 --> 00:01:11,800 Speaker 1: Well, you are are our person in New York, and 20 00:01:12,120 --> 00:01:18,319 Speaker 1: New York was the focus, I would say, one of 21 00:01:18,319 --> 00:01:21,160 Speaker 1: the big focuses of the last the elections we just had. 22 00:01:22,120 --> 00:01:26,160 Speaker 2: And they were there, just elections. I had no idea 23 00:01:26,280 --> 00:01:30,440 Speaker 2: this totally. Yeah, I sorry to cut you out of Fanny. 24 00:01:30,480 --> 00:01:35,080 Speaker 3: I will say, being in New York last week, very 25 00:01:35,160 --> 00:01:37,039 Speaker 3: very glad to be in New York City. I had 26 00:01:37,080 --> 00:01:40,160 Speaker 3: to feel like where it was going to go, but 27 00:01:40,280 --> 00:01:44,040 Speaker 3: it was like that is the the energy, just feeling 28 00:01:44,120 --> 00:01:45,440 Speaker 3: like walk here on the stay. I also had a 29 00:01:45,440 --> 00:01:48,400 Speaker 3: friend who was visiting from London who I was like 30 00:01:48,400 --> 00:01:50,400 Speaker 3: getting drunks that night and it was so funny because 31 00:01:50,400 --> 00:01:52,000 Speaker 3: I was like, Oh, there's going to be all of 32 00:01:52,040 --> 00:01:54,840 Speaker 3: these watch parties for the election, like we could do that, 33 00:01:55,000 --> 00:01:56,320 Speaker 3: or we could just try to finally have a bar. 34 00:01:56,440 --> 00:01:58,440 Speaker 3: And he was like, no, I'm kind of curious. Let's 35 00:01:58,440 --> 00:01:59,800 Speaker 3: like do the watch party. 36 00:02:00,400 --> 00:02:04,280 Speaker 2: I don't know anythink about politics. Let's go. 37 00:02:05,320 --> 00:02:09,320 Speaker 3: And we were like at a gay bar watching the 38 00:02:09,360 --> 00:02:13,560 Speaker 3: election results come in and it was a fun time. 39 00:02:13,680 --> 00:02:16,880 Speaker 2: I'm not gonna lie, it was a fun time. Uh 40 00:02:17,760 --> 00:02:21,959 Speaker 2: you know, I'm alad because it's nice to have a win. 41 00:02:22,200 --> 00:02:26,959 Speaker 2: It was a wind like a lot of election can go. 42 00:02:28,120 --> 00:02:30,160 Speaker 1: I'm just too scared to even try it to go 43 00:02:30,200 --> 00:02:32,280 Speaker 1: to a watch party because I might be so depressed. 44 00:02:32,560 --> 00:02:35,080 Speaker 2: No real, I'm glad it worked out. 45 00:02:35,680 --> 00:02:38,200 Speaker 3: It was so weird because I was like, uh, one 46 00:02:38,240 --> 00:02:40,680 Speaker 3: of my really good friends, like their birthday is right 47 00:02:40,680 --> 00:02:43,200 Speaker 3: after election, and last year it was the day after 48 00:02:43,280 --> 00:02:47,360 Speaker 3: the like Trump was elected, and I just like that 49 00:02:47,880 --> 00:02:49,840 Speaker 3: those couple of days were so weird I'll be real, Like, 50 00:02:49,880 --> 00:02:51,839 Speaker 3: I went into that election sort of like it could 51 00:02:51,880 --> 00:02:53,320 Speaker 3: go fifty to fifty. A lot of people in my 52 00:02:53,360 --> 00:02:55,240 Speaker 3: life were very convinced Hayris was gonna win. 53 00:02:55,360 --> 00:02:57,799 Speaker 2: I was like, I don't know. 54 00:02:58,200 --> 00:03:01,000 Speaker 3: I'm also like I was the friend that was watching 55 00:03:01,080 --> 00:03:04,239 Speaker 3: CNN all night and was like texting people updates. 56 00:03:04,120 --> 00:03:05,720 Speaker 2: And so I did feel kind of bad because there 57 00:03:05,720 --> 00:03:06,760 Speaker 2: were a couple of points where I was like, no, 58 00:03:06,840 --> 00:03:08,040 Speaker 2: it looks like it's going really well. 59 00:03:08,080 --> 00:03:09,640 Speaker 3: Actually it's fine, and then I was like and then 60 00:03:09,639 --> 00:03:10,640 Speaker 3: an hour later it changed. 61 00:03:10,840 --> 00:03:14,240 Speaker 2: Anyway, that was a weird time. That was like. 62 00:03:16,800 --> 00:03:19,919 Speaker 3: That was was just such a like jarring experience for so. 63 00:03:19,880 --> 00:03:21,680 Speaker 2: Many in so many ways. 64 00:03:22,040 --> 00:03:25,480 Speaker 3: Again, I wasn't necessarily surprised, but it was like it 65 00:03:25,520 --> 00:03:27,880 Speaker 3: was weird. It was weird, it was jarring, it was heavy, 66 00:03:28,240 --> 00:03:30,720 Speaker 3: and it was just like the shift this year. 67 00:03:30,800 --> 00:03:32,600 Speaker 2: It was just it was such a different energy. 68 00:03:32,680 --> 00:03:38,440 Speaker 3: And yeah, equally, Annie, I I you know, I still 69 00:03:38,480 --> 00:03:41,720 Speaker 3: have very distinct memories of the twenty sixty election. And 70 00:03:42,280 --> 00:03:46,080 Speaker 3: I was in high school at the time, as I 71 00:03:46,280 --> 00:03:50,000 Speaker 3: mentioned on the podcast before, and Samantha's looked horrified, But 72 00:03:50,160 --> 00:03:53,160 Speaker 3: I do remember that like walking into a watch party 73 00:03:53,200 --> 00:03:55,600 Speaker 3: for that and it just being like silent and like 74 00:03:55,760 --> 00:03:59,080 Speaker 3: the energy being so weird, and so that was. 75 00:03:59,000 --> 00:04:03,000 Speaker 2: Not the case this time, which was nice. I really 76 00:04:03,080 --> 00:04:04,920 Speaker 2: like that. Yeah. 77 00:04:04,920 --> 00:04:07,200 Speaker 1: I also a shout out quick shout out to a 78 00:04:07,400 --> 00:04:11,800 Speaker 1: super producer, Christina, whose birthday is near. Oh my god, 79 00:04:11,840 --> 00:04:16,480 Speaker 1: what Yeah, November Christina. 80 00:04:17,120 --> 00:04:18,479 Speaker 6: She's really gone everywhere. 81 00:04:18,680 --> 00:04:21,080 Speaker 2: She has told the story. 82 00:04:20,760 --> 00:04:26,320 Speaker 3: Of pleated birthday Christina scorpio icon. Let's go right. It 83 00:04:26,400 --> 00:04:31,080 Speaker 3: makes so much sense. Lovingly, I love scorpios, but that 84 00:04:31,080 --> 00:04:32,080 Speaker 3: that makes so much sense. 85 00:04:33,040 --> 00:04:35,120 Speaker 1: I love that because I never know what that means 86 00:04:35,160 --> 00:04:37,520 Speaker 1: when people say it, but I'm I love that people 87 00:04:37,600 --> 00:04:38,040 Speaker 1: know it. 88 00:04:38,040 --> 00:04:40,640 Speaker 2: It makes me happy. But yeah, she's told stories of. 89 00:04:40,560 --> 00:04:43,599 Speaker 1: Being you know, out at a bar for her birthday 90 00:04:43,600 --> 00:04:46,360 Speaker 1: and it's just silent because of what happened in the election. 91 00:04:46,680 --> 00:04:47,359 Speaker 6: Yeah, I. 92 00:04:49,000 --> 00:04:53,200 Speaker 3: Cannot imagine. I do have a really good friend of 93 00:04:53,200 --> 00:04:56,360 Speaker 3: his birthdays January sixth, and I thought that one's a 94 00:04:56,400 --> 00:04:58,120 Speaker 3: really funny one because I as soon as she told me, 95 00:04:58,160 --> 00:04:59,719 Speaker 3: I was like, well, I'm never going to forget your birthday. 96 00:04:59,760 --> 00:05:05,000 Speaker 2: Night was like, but you know, so many fun dates. 97 00:05:05,080 --> 00:05:09,440 Speaker 2: I got to my birthday date. It was nothing. 98 00:05:09,680 --> 00:05:12,000 Speaker 3: The one thing that this year was normal, but the 99 00:05:12,080 --> 00:05:15,320 Speaker 3: year before it was the weekend that Biden dropped out 100 00:05:15,320 --> 00:05:17,360 Speaker 3: of the election and Harris will they announce that Harris 101 00:05:17,440 --> 00:05:19,360 Speaker 3: was gonna run, and it like literally I saw a 102 00:05:19,400 --> 00:05:21,560 Speaker 3: tweet that was somebody being like, Wow, this is really 103 00:05:21,560 --> 00:05:23,680 Speaker 3: taking the attention away from me for my birthday, and 104 00:05:23,720 --> 00:05:25,680 Speaker 3: I was like that that was how I felt like. 105 00:05:25,760 --> 00:05:30,719 Speaker 3: I was like, I, this is great. I I, you know, 106 00:05:31,960 --> 00:05:34,760 Speaker 3: had not felt super great about Biden running either. 107 00:05:35,839 --> 00:05:39,839 Speaker 2: However, it's my birthday. It's supposedly about me. 108 00:05:40,160 --> 00:05:42,960 Speaker 3: Why are we talking about this other Joe, Like what's 109 00:05:43,000 --> 00:05:50,120 Speaker 3: going on? But yeah, no, Anyways, I do recommend watching 110 00:05:50,360 --> 00:05:53,680 Speaker 3: election coverage though, and you know, again, you never know, 111 00:05:53,800 --> 00:05:57,280 Speaker 3: it could go for different ways. But watching an election 112 00:05:57,400 --> 00:05:59,640 Speaker 3: that went well with somebody who's not from the US 113 00:05:59,680 --> 00:06:02,320 Speaker 3: that was sort of like literally support that were showing 114 00:06:02,360 --> 00:06:04,640 Speaker 3: on the maps and he was like Red's bad, right, 115 00:06:04,800 --> 00:06:05,320 Speaker 3: Like that's that. 116 00:06:07,720 --> 00:06:10,000 Speaker 4: I had to do with the animals sometimes I'm like, wait, 117 00:06:10,320 --> 00:06:14,040 Speaker 4: which one is the which was Wait, donkey. 118 00:06:15,520 --> 00:06:21,640 Speaker 1: Suddenly we all know about one county that. 119 00:06:19,720 --> 00:06:25,400 Speaker 6: Before all of a sudden, what. 120 00:06:25,880 --> 00:06:30,920 Speaker 3: Do pennsylvan I haven't spent too much time thinking about Pennsylvania. 121 00:06:31,839 --> 00:06:33,160 Speaker 2: No hate with the people of Pennsylvania. 122 00:06:35,240 --> 00:06:38,840 Speaker 6: Wasn't, but geography becomes somewhat important. 123 00:06:41,400 --> 00:06:44,400 Speaker 3: But yes, I guess up top a couple of things. 124 00:06:44,440 --> 00:06:45,520 Speaker 3: First of all, I just want to make a quick 125 00:06:45,520 --> 00:06:49,280 Speaker 3: content warning. I am going to talk a little bit 126 00:06:49,320 --> 00:06:54,920 Speaker 3: about sexual assault, like sexual harassment. Uh, you know, famously 127 00:06:55,480 --> 00:06:59,719 Speaker 3: Andrew Como was running against Doomny for this lecture and 128 00:07:00,440 --> 00:07:04,400 Speaker 3: who are again famous for being a sexual predator. 129 00:07:04,480 --> 00:07:06,240 Speaker 2: So that is going to going to come up. 130 00:07:06,240 --> 00:07:07,560 Speaker 3: We're going to talk a little bit about the Me 131 00:07:07,640 --> 00:07:10,680 Speaker 3: Too movement and kind of the long term kind of 132 00:07:11,200 --> 00:07:14,160 Speaker 3: effects of that and conversations that are still happening. Not 133 00:07:14,160 --> 00:07:17,040 Speaker 3: going to get super explicit, but of course, take care 134 00:07:17,080 --> 00:07:19,200 Speaker 3: well listening. I'm also going to get a little bit 135 00:07:19,200 --> 00:07:22,840 Speaker 3: into Islamophobia and some of the islamophobic rhetoric that had 136 00:07:22,840 --> 00:07:26,680 Speaker 3: been going around. Same with you know, just any sort 137 00:07:26,680 --> 00:07:28,840 Speaker 3: of We're going to talk about transphobic. 138 00:07:28,400 --> 00:07:30,880 Speaker 2: Rhetoric, all this stuff. Take care well listening. 139 00:07:31,120 --> 00:07:33,480 Speaker 3: Not going to get super explicit, not going to get 140 00:07:33,840 --> 00:07:37,440 Speaker 3: I'm not going to quote anything anyone was saying as much, 141 00:07:37,600 --> 00:07:39,320 Speaker 3: try not too as much as possible, because I don't 142 00:07:39,560 --> 00:07:41,680 Speaker 3: want to give a platform to those things. I'm sure 143 00:07:41,680 --> 00:07:45,800 Speaker 3: we all know what is being said right now, and 144 00:07:45,840 --> 00:07:47,600 Speaker 3: then my other warning at the top. 145 00:07:48,040 --> 00:07:48,680 Speaker 2: Every time I. 146 00:07:48,680 --> 00:07:52,760 Speaker 3: Talk about electoral politics, especially when it comes to progressive wins, 147 00:07:53,520 --> 00:07:58,360 Speaker 3: I have to do my laundry list of disclaimer Points one. Yes, 148 00:07:58,480 --> 00:08:00,400 Speaker 3: electoral politics is not the end all be all of 149 00:08:00,440 --> 00:08:03,200 Speaker 3: political activism or change or hope for the future or whatever. 150 00:08:03,320 --> 00:08:04,360 Speaker 2: I am aware of this. 151 00:08:05,160 --> 00:08:08,920 Speaker 3: However, it is point number two. It is an aspect 152 00:08:09,120 --> 00:08:13,920 Speaker 3: of political change. It is like, like you know, it 153 00:08:14,000 --> 00:08:17,960 Speaker 3: determines who is going to be in office. It is 154 00:08:18,000 --> 00:08:21,200 Speaker 3: and like, yes, it's just one brick in this like 155 00:08:21,560 --> 00:08:24,080 Speaker 3: house of progress and house of change, but it is 156 00:08:24,120 --> 00:08:27,200 Speaker 3: still a brick. And if you remove that brick, you're 157 00:08:27,240 --> 00:08:29,040 Speaker 3: gonna lose a couple of pillars there. 158 00:08:29,200 --> 00:08:31,360 Speaker 2: So I do think it's worth talking about. But me 159 00:08:31,600 --> 00:08:32,319 Speaker 2: talking about this. 160 00:08:32,360 --> 00:08:35,120 Speaker 3: Me celebrating these things, isn't me saying like, and everything's 161 00:08:35,240 --> 00:08:38,200 Speaker 3: great and nobody has to pay attention to anything. Ever, 162 00:08:38,679 --> 00:08:43,080 Speaker 3: we can have nuance and like listen, also point number three. 163 00:08:45,120 --> 00:08:48,319 Speaker 3: So right now, Christine, I'm so sorry You're gonna have 164 00:08:48,360 --> 00:08:50,000 Speaker 3: to beat me a lot in this episode. I'm and 165 00:08:50,000 --> 00:08:52,800 Speaker 3: also sorry to the listeners that I hate the beatings 166 00:08:52,800 --> 00:08:56,280 Speaker 3: out and I'm trying my best, but it is it's 167 00:08:56,360 --> 00:08:58,840 Speaker 3: possible to look at the world and be like, wow, 168 00:08:58,920 --> 00:09:01,240 Speaker 3: things are bad. All of these bad things are happening, 169 00:09:01,480 --> 00:09:04,080 Speaker 3: but also be able to celebrate wins, you know, like 170 00:09:04,080 --> 00:09:06,320 Speaker 3: like just because I am like and like, I'll be 171 00:09:06,360 --> 00:09:06,760 Speaker 3: real this. 172 00:09:06,920 --> 00:09:09,680 Speaker 2: I I felt a lot of hope from this election. 173 00:09:09,920 --> 00:09:12,160 Speaker 2: I I it was very like reinvigorating. 174 00:09:12,200 --> 00:09:15,360 Speaker 3: I really like maybe remember like, yeah, this is this 175 00:09:15,360 --> 00:09:17,480 Speaker 3: stuff is important, This stuff is important to get involved with. 176 00:09:18,120 --> 00:09:21,400 Speaker 3: That being said, like, I'm from Chicago and it's been 177 00:09:21,640 --> 00:09:24,480 Speaker 3: really weird for the past like a couple of months, 178 00:09:24,559 --> 00:09:28,640 Speaker 3: seeing like streets that I grew up in under like 179 00:09:28,800 --> 00:09:31,720 Speaker 3: total basically military occupation at this point. 180 00:09:31,880 --> 00:09:41,880 Speaker 7: So it's like, believe me when I say, uh. 181 00:09:38,240 --> 00:09:40,840 Speaker 3: It is possible again, Yeah, nuance is possible. We can 182 00:09:40,840 --> 00:09:43,160 Speaker 3: celebrate these wins and also still be realistic about the 183 00:09:43,160 --> 00:09:46,440 Speaker 3: fact that it's like there's a lot of bad things happening, 184 00:09:46,480 --> 00:09:49,480 Speaker 3: and I think there's still a lot of work to 185 00:09:49,480 --> 00:09:49,840 Speaker 3: be done. 186 00:09:50,800 --> 00:09:54,360 Speaker 4: Exactly when it comes to everything with the elections, no 187 00:09:54,440 --> 00:09:56,880 Speaker 4: one loves the system, but right now and we see 188 00:09:56,880 --> 00:10:00,240 Speaker 4: a win, a win is a win, dammit, exactly. 189 00:10:00,520 --> 00:10:04,920 Speaker 2: When when also I'm like, you know, I like, taking. 190 00:10:04,600 --> 00:10:06,720 Speaker 3: Some steps forward is better than just like not doing 191 00:10:06,760 --> 00:10:09,160 Speaker 3: anything Like, I don't know. I'm I'm trying not to 192 00:10:09,360 --> 00:10:12,280 Speaker 3: argue too much with like an invisible voice in my 193 00:10:12,320 --> 00:10:15,120 Speaker 3: head right now that's coming at me and pulling out 194 00:10:15,120 --> 00:10:20,080 Speaker 3: all the like leftist Twitter talking points. But but yeah, 195 00:10:20,160 --> 00:10:23,360 Speaker 3: I don't know, I'm trying. I think it is okay 196 00:10:23,520 --> 00:10:27,920 Speaker 3: to both celebrate things and be excited about things, and like, 197 00:10:28,000 --> 00:10:29,839 Speaker 3: I'll be real, I am somebody who like I tend 198 00:10:29,880 --> 00:10:31,679 Speaker 3: to kind of be a killed joy with politics. Uh. 199 00:10:32,760 --> 00:10:35,560 Speaker 2: We were just talking about the election last year. Again. 200 00:10:35,720 --> 00:10:39,000 Speaker 3: I was kind of the friend being like, I don't know, guys, 201 00:10:39,200 --> 00:10:42,080 Speaker 3: I feel like this could go really bad, and you 202 00:10:42,120 --> 00:10:45,120 Speaker 3: know what, I was right, but wasn't happy that I. 203 00:10:45,080 --> 00:10:47,400 Speaker 2: Was right, but I was right right. But and like 204 00:10:48,440 --> 00:10:49,320 Speaker 2: on this note too. 205 00:10:49,320 --> 00:10:51,280 Speaker 3: I mean, like something we're seeing right now whatever, there's 206 00:10:51,320 --> 00:10:53,600 Speaker 3: like a politician that's like very charismatic and is like, 207 00:10:54,440 --> 00:10:58,280 Speaker 3: you know, got this sort of support, which I think 208 00:10:58,280 --> 00:10:58,839 Speaker 3: I think is good. 209 00:10:58,840 --> 00:10:59,560 Speaker 2: I think we do need that. 210 00:10:59,600 --> 00:11:01,679 Speaker 3: But also it's like I'm personally I don't think we 211 00:11:01,720 --> 00:11:04,839 Speaker 3: should be like standing politicians. I hate it when people 212 00:11:04,880 --> 00:11:08,840 Speaker 3: make like mersh of like like although like Ruth Badergan's 213 00:11:08,840 --> 00:11:12,280 Speaker 3: were merge or like like AOC or Bernie or whatever. 214 00:11:12,559 --> 00:11:13,280 Speaker 2: Like I'm like, that's it. 215 00:11:13,400 --> 00:11:16,480 Speaker 3: They're their job is to serve the people. I don't know, 216 00:11:16,600 --> 00:11:19,160 Speaker 3: that feels weird to be I don't know. Again, there's 217 00:11:19,160 --> 00:11:21,200 Speaker 3: a room for nuance. I could still be excited about this. 218 00:11:21,240 --> 00:11:23,720 Speaker 3: I think it is exciting to see like a politician 219 00:11:23,720 --> 00:11:26,120 Speaker 3: who is this good of a speaker and this good 220 00:11:26,120 --> 00:11:29,600 Speaker 3: at like bringing people together and talking to multiple different 221 00:11:29,640 --> 00:11:34,000 Speaker 3: issues and like really creating a coalition. I mean, like, listen, 222 00:11:34,040 --> 00:11:36,600 Speaker 3: the Democrats have like loved to talk a lot of 223 00:11:36,600 --> 00:11:39,120 Speaker 3: big talk about coalition building and about bringing people in. 224 00:11:39,880 --> 00:11:42,720 Speaker 2: Uh, And I do think that's a good idea. 225 00:11:42,840 --> 00:11:44,400 Speaker 3: I think the way that they've kind of been approaching 226 00:11:44,440 --> 00:11:47,080 Speaker 3: it is like, let's just turn this party into like 227 00:11:47,280 --> 00:11:49,600 Speaker 3: Republicans light, let's try to get like the Liz Chenese 228 00:11:49,640 --> 00:11:51,880 Speaker 3: of the world to jump on our side. And it's like, 229 00:11:52,800 --> 00:11:54,520 Speaker 3: I don't think that's what it should be. I think, 230 00:11:54,559 --> 00:11:56,120 Speaker 3: like you, if you look at what Zoron did, like 231 00:11:56,200 --> 00:11:59,000 Speaker 3: that is that is a genuine like bringing people with 232 00:11:59,080 --> 00:12:04,960 Speaker 3: different ideas together, bringing people from different communities together, whatever, 233 00:12:05,120 --> 00:12:09,040 Speaker 3: like people kind of I wouldn't have expected to support 234 00:12:09,080 --> 00:12:11,959 Speaker 3: a democratic socialist candidate. We're doing that, and I think 235 00:12:11,960 --> 00:12:13,720 Speaker 3: that's really great and I think there is something there, 236 00:12:14,400 --> 00:12:15,720 Speaker 3: and I think it's worth talking about. 237 00:12:16,120 --> 00:12:19,120 Speaker 4: I mean, it's okay to like someone that you voted for, 238 00:12:19,280 --> 00:12:21,079 Speaker 4: but then you have to turn around and understand this 239 00:12:21,120 --> 00:12:25,120 Speaker 4: is about holding them accountable. So it's not about following blindly. 240 00:12:25,440 --> 00:12:29,679 Speaker 4: Is understanding they got me excited with this, and now 241 00:12:29,760 --> 00:12:30,679 Speaker 4: let's hold them to it. 242 00:12:30,800 --> 00:12:33,360 Speaker 6: And that's the more responsible way to be a voter. 243 00:12:33,640 --> 00:12:35,719 Speaker 2: Exactly because you know what happens. You know what. 244 00:12:35,720 --> 00:12:37,559 Speaker 3: Happens when we and I'm not saying this is at 245 00:12:37,559 --> 00:12:40,800 Speaker 3: all what's going to happen with Mom Donnie, but I 246 00:12:40,800 --> 00:12:43,280 Speaker 3: think when people take the like turning it into like 247 00:12:43,400 --> 00:12:46,079 Speaker 3: all of a sort of like the fandomization of politics 248 00:12:46,080 --> 00:12:49,040 Speaker 3: too far, you get like cuomo sexual stuff, like that's 249 00:12:49,080 --> 00:12:53,599 Speaker 3: what you get, which surprise, surprise, backfire really quickly. 250 00:12:53,840 --> 00:12:54,400 Speaker 6: Real hard. 251 00:12:55,840 --> 00:13:00,560 Speaker 3: Anyways, there's a couple of different things I want to 252 00:13:00,600 --> 00:13:06,320 Speaker 3: talk about here, particularly pertaining to Donnie's win and what 253 00:13:06,360 --> 00:13:12,520 Speaker 3: that means for women, women's issues in politics, and what 254 00:13:12,559 --> 00:13:15,679 Speaker 3: I kind of mean by what I'm saying women's issues too. First, 255 00:13:15,679 --> 00:13:17,640 Speaker 3: we're gonna we're gonna pull back a little bit. We're 256 00:13:17,640 --> 00:13:22,360 Speaker 3: gonna talk about like what the rhetoric on the left 257 00:13:22,559 --> 00:13:24,960 Speaker 3: or what is seen as left in this country, the 258 00:13:25,000 --> 00:13:29,679 Speaker 3: Democratic Party, whatever big umbrella here that I'm talking about, 259 00:13:29,679 --> 00:13:31,440 Speaker 3: but like what the conversation has been for the past 260 00:13:31,520 --> 00:13:34,640 Speaker 3: year or since the Democratic Party lost the twenty twenty 261 00:13:34,640 --> 00:13:38,319 Speaker 3: four election presidential election, There's been a lot to talk about, 262 00:13:38,360 --> 00:13:40,080 Speaker 3: like what were the lessons learned? 263 00:13:42,040 --> 00:13:43,319 Speaker 2: What did we do wrong? 264 00:13:43,720 --> 00:13:47,120 Speaker 3: And surprise, surprise, there's just kind of been a lot 265 00:13:47,120 --> 00:13:50,680 Speaker 3: of finger pointing and a lot of like jumping to 266 00:13:50,760 --> 00:13:51,520 Speaker 3: blame people. 267 00:13:52,800 --> 00:13:54,719 Speaker 2: I was thinking about, like how have. 268 00:13:54,760 --> 00:13:58,000 Speaker 3: The Democrats how progressive talked about women's issues over the 269 00:13:58,040 --> 00:13:58,600 Speaker 3: past year. 270 00:13:58,720 --> 00:14:00,200 Speaker 2: And I do think it's split. 271 00:14:00,320 --> 00:14:01,959 Speaker 3: I think that there's sort of two and again we're 272 00:14:01,960 --> 00:14:04,720 Speaker 3: talking about a very broad coalition of people here, so 273 00:14:04,840 --> 00:14:08,280 Speaker 3: this is like political pundance and just like your average 274 00:14:08,320 --> 00:14:10,440 Speaker 3: person on the street, which again that's. 275 00:14:10,320 --> 00:14:13,040 Speaker 2: A very large group of people who. 276 00:14:12,880 --> 00:14:15,240 Speaker 3: Are talking about lots of different opinions, lots of different 277 00:14:16,080 --> 00:14:18,480 Speaker 3: motives whatever. But yeah, I think the response is kind 278 00:14:18,520 --> 00:14:21,480 Speaker 3: of been split. I think similar to twenty sixteen, this 279 00:14:21,680 --> 00:14:24,280 Speaker 3: loss was like the twenty twenty four presidential loss was 280 00:14:24,280 --> 00:14:26,480 Speaker 3: definitely something that bradical lies a lot of people and 281 00:14:26,520 --> 00:14:27,400 Speaker 3: drove them to action. 282 00:14:28,960 --> 00:14:30,280 Speaker 2: Recently, I was listening to I want to. 283 00:14:30,240 --> 00:14:35,920 Speaker 3: Shout out Matt Bertstein's podcast A Bit Fruity, in which 284 00:14:35,920 --> 00:14:38,520 Speaker 3: you recently did an episode called the liberal wine Moms 285 00:14:38,560 --> 00:14:41,200 Speaker 3: are Radicalizing. I'm blanking on the name of the guest 286 00:14:41,240 --> 00:14:43,160 Speaker 3: that he had on, but she was fantastic. She was 287 00:14:43,200 --> 00:14:46,400 Speaker 3: sort of like, she's this prominent podcaster's sort of seen 288 00:14:46,440 --> 00:14:53,120 Speaker 3: as like the progressive, like middle aged, the suburban wine mom, 289 00:14:53,200 --> 00:14:56,840 Speaker 3: and quotes, you know, not necessarily literal, but. 290 00:14:56,800 --> 00:14:58,480 Speaker 2: You know what I'm talking about, like that typographic. And 291 00:14:58,800 --> 00:14:59,920 Speaker 2: they had a really interesting converse. 292 00:15:00,320 --> 00:15:02,680 Speaker 3: I'll link that episode in the show notes, but they 293 00:15:02,720 --> 00:15:06,120 Speaker 3: had a really interesting conversation about her response to the 294 00:15:06,160 --> 00:15:07,840 Speaker 3: election and some of the stuff that she's been seeing. 295 00:15:07,840 --> 00:15:09,560 Speaker 3: And I think it was really interesting because it was 296 00:15:09,600 --> 00:15:11,080 Speaker 3: sort of counter to a lot of the narratives I've 297 00:15:11,080 --> 00:15:14,400 Speaker 3: been seeing, which is coming what like more from the 298 00:15:14,720 --> 00:15:17,480 Speaker 3: party side, which is there's been a lot of hand ringing, 299 00:15:17,520 --> 00:15:17,920 Speaker 3: a lot. 300 00:15:17,760 --> 00:15:20,480 Speaker 2: Of like, oh, we were being we were. 301 00:15:20,320 --> 00:15:23,200 Speaker 3: Going too far with these issues, we weren't being cautious enough. 302 00:15:23,240 --> 00:15:25,480 Speaker 3: And meanwhile, like if you look at the actual platform 303 00:15:25,600 --> 00:15:27,520 Speaker 3: that was being run in twenty twenty four, it was 304 00:15:27,560 --> 00:15:30,800 Speaker 3: like the most cautious, like we're not going to push 305 00:15:30,840 --> 00:15:35,520 Speaker 3: any boundaries they could have done. You know, there's been 306 00:15:35,560 --> 00:15:39,560 Speaker 3: a lot of like, oh, the thing that that didn't 307 00:15:39,600 --> 00:15:42,520 Speaker 3: work for us was like the fath them's or Kamala Ford, 308 00:15:42,520 --> 00:15:43,680 Speaker 3: thea them or whatever. 309 00:15:44,400 --> 00:15:47,200 Speaker 2: Meanwhile, the Democratic Party like this was the. 310 00:15:47,240 --> 00:15:49,600 Speaker 3: Least that they talked about trans issues like within like 311 00:15:49,600 --> 00:15:51,760 Speaker 3: the last three elections, Like this is the first time 312 00:15:51,800 --> 00:15:55,000 Speaker 3: the DNC there was not a single trans speaker in 313 00:15:55,080 --> 00:15:57,960 Speaker 3: like years, like this has not happened in a very 314 00:15:58,000 --> 00:15:58,720 Speaker 3: long time, like. 315 00:15:58,680 --> 00:15:59,720 Speaker 2: They they really I don't know. 316 00:16:00,120 --> 00:16:02,040 Speaker 3: It's sort of this weird disconnect where there's been a 317 00:16:02,040 --> 00:16:04,400 Speaker 3: lot of like we were having people like Gavin Newsome 318 00:16:04,440 --> 00:16:08,920 Speaker 3: now be like actually we should I don't know, transports, 319 00:16:08,960 --> 00:16:11,240 Speaker 3: it's a it's complicated, and it's. 320 00:16:11,080 --> 00:16:12,320 Speaker 2: Like where is this coming from. 321 00:16:12,480 --> 00:16:16,440 Speaker 3: You weren't like running on helping trans people really at all. 322 00:16:18,240 --> 00:16:22,640 Speaker 2: People have been loving to go affle after a chapel. 323 00:16:22,280 --> 00:16:26,120 Speaker 8: Roone for not endorsing Kamala Harris and making what I 324 00:16:26,160 --> 00:16:29,080 Speaker 8: think was a pretty reasonable point about the fact that 325 00:16:29,120 --> 00:16:32,360 Speaker 8: the Democratic Party really hasn't you know, stood up for 326 00:16:32,360 --> 00:16:34,520 Speaker 8: the LGBT community as much as they say that they are. 327 00:16:35,160 --> 00:16:36,160 Speaker 2: I think she was right. 328 00:16:36,400 --> 00:16:40,320 Speaker 8: I think, you know, again, I voted for Harris. I 329 00:16:40,360 --> 00:16:43,600 Speaker 8: think people should have voted for Harris. But also it's like, yeah, they. 330 00:16:43,640 --> 00:16:47,320 Speaker 7: There wasn't really a lot that was I don't know, 331 00:16:47,360 --> 00:16:50,040 Speaker 7: like there weren't they weren't doing the things that they 332 00:16:50,040 --> 00:16:52,560 Speaker 7: were like, see, the thing that was wrong was that 333 00:16:52,600 --> 00:16:53,720 Speaker 7: we were being too woke. 334 00:16:53,760 --> 00:16:57,720 Speaker 3: And it's like, but but you weren't, Like I don't know, 335 00:16:58,240 --> 00:17:00,880 Speaker 3: I think particularly and the one thing that really I 336 00:17:00,880 --> 00:17:03,840 Speaker 3: want to focus on here is like trans issues and 337 00:17:03,880 --> 00:17:07,119 Speaker 3: how trans issues have been talking about, because like this 338 00:17:07,160 --> 00:17:09,919 Speaker 3: has been one of the communities that has been most 339 00:17:10,359 --> 00:17:13,040 Speaker 3: kind of sharply attacked by the Trump administration, and at 340 00:17:13,040 --> 00:17:16,280 Speaker 3: the same time, the like mainstream Democratic Party has kind 341 00:17:16,280 --> 00:17:17,960 Speaker 3: of been pulling away from it has been like yeah, 342 00:17:17,960 --> 00:17:19,040 Speaker 3: that's where we were going too far. 343 00:17:19,080 --> 00:17:21,000 Speaker 2: And it's again like I'm saying. 344 00:17:22,640 --> 00:17:24,560 Speaker 3: That to me is confusing because I'm like, you really 345 00:17:24,600 --> 00:17:30,399 Speaker 3: weren't doing anything to begin with. I think this election 346 00:17:30,600 --> 00:17:35,600 Speaker 3: showed that there is kind of a disconnect between the like, 347 00:17:36,280 --> 00:17:37,840 Speaker 3: oh my god, no, people don't like this, people don't 348 00:17:37,880 --> 00:17:39,320 Speaker 3: like that we're supporting this. It's like not like at 349 00:17:39,320 --> 00:17:41,120 Speaker 3: the end of the day, it's it's not the biggest issue, 350 00:17:41,160 --> 00:17:43,280 Speaker 3: Like the biggest issues are the economic issues, because it's 351 00:17:43,440 --> 00:17:47,600 Speaker 3: like most people don't really care about like other people's 352 00:17:47,600 --> 00:17:50,760 Speaker 3: that our personal lives. Some people do, obviously they're very 353 00:17:50,800 --> 00:17:54,199 Speaker 3: loud about it. But yeah, Also I'm I'm under this. 354 00:17:54,280 --> 00:17:57,760 Speaker 3: I'm qualifying trans issues as women's issues. Obviously not alternans 355 00:17:57,840 --> 00:18:01,080 Speaker 3: people are women, U that's kind of the whole point. 356 00:18:01,400 --> 00:18:06,440 Speaker 3: But uh, I think, and I think specifically talking about 357 00:18:06,520 --> 00:18:07,960 Speaker 3: I'm gonna try not to go on a huge tantent 358 00:18:07,960 --> 00:18:09,199 Speaker 3: about this because I don't want to take up too 359 00:18:09,240 --> 00:18:11,080 Speaker 3: much time. But I think, like, especially when we're talking 360 00:18:11,080 --> 00:18:15,639 Speaker 3: about like the quote unquote like transport debate, this is 361 00:18:15,640 --> 00:18:17,720 Speaker 3: a women's issue because you see how quickly it turns 362 00:18:17,720 --> 00:18:20,320 Speaker 3: into like if we're just turning this into like specific 363 00:18:20,359 --> 00:18:24,960 Speaker 3: gender roles, you have to like, again, I'm trying very 364 00:18:24,960 --> 00:18:26,320 Speaker 3: hard not to go on a tangent about this. I 365 00:18:26,320 --> 00:18:29,720 Speaker 3: think it's really weird how quickly like the conversation about 366 00:18:30,119 --> 00:18:32,080 Speaker 3: women in men's sports or men and womens sport quote 367 00:18:32,119 --> 00:18:34,640 Speaker 3: unquote whatever has shifted over the past ten years, because 368 00:18:34,680 --> 00:18:37,200 Speaker 3: like I remember growing up and it being like, yeah, 369 00:18:37,240 --> 00:18:40,560 Speaker 3: it's really weird that these sports are gendered, Like it's 370 00:18:40,600 --> 00:18:42,399 Speaker 3: more complicated than that if you look at the actual 371 00:18:42,440 --> 00:18:43,520 Speaker 3: scientific facts, like. 372 00:18:45,560 --> 00:18:49,359 Speaker 2: I don't know, gender actually doesn't play that big of 373 00:18:49,400 --> 00:18:49,720 Speaker 2: a role. 374 00:18:50,160 --> 00:18:52,320 Speaker 3: And now we've kind of gone around where it's like no, no, no, actually, 375 00:18:52,600 --> 00:18:54,800 Speaker 3: like like the turf argument is actually it is feminists 376 00:18:54,880 --> 00:18:57,440 Speaker 3: to say no, women are inherently weaker and they can't 377 00:18:57,480 --> 00:19:00,679 Speaker 3: do anything. And for some reason, chess is also a 378 00:19:00,720 --> 00:19:01,240 Speaker 3: part of this. 379 00:19:01,400 --> 00:19:02,000 Speaker 2: We can't have. 380 00:19:02,960 --> 00:19:07,879 Speaker 3: Trans women competing against sis women in chess because our 381 00:19:08,280 --> 00:19:12,480 Speaker 3: little lady brains are too small apparently. So anyways, all 382 00:19:12,520 --> 00:19:15,960 Speaker 3: of that being said, I've said this on other podcasts 383 00:19:15,960 --> 00:19:21,679 Speaker 3: before women out there, cis gender women listening. If you 384 00:19:21,760 --> 00:19:24,359 Speaker 3: really do not care about trans people, like at least 385 00:19:24,359 --> 00:19:26,199 Speaker 3: think a little bit selfishly here, like this is going 386 00:19:26,280 --> 00:19:28,520 Speaker 3: to come back and buy you. We're ready seeing the 387 00:19:28,560 --> 00:19:31,399 Speaker 3: Olympics just put out a statement being like we're banning 388 00:19:31,400 --> 00:19:34,960 Speaker 3: trans women and also like women with like high testosterone levels, 389 00:19:35,000 --> 00:19:37,360 Speaker 3: which is so weird, which is such a vague thing. 390 00:19:37,600 --> 00:19:42,520 Speaker 3: So it's like it's the Olympics. It's like everybody's you 391 00:19:42,840 --> 00:19:45,320 Speaker 3: don't get to that level of athleticism unless there's like 392 00:19:45,359 --> 00:19:48,840 Speaker 3: you have some sort of weird physical situation going on. 393 00:19:48,960 --> 00:19:52,040 Speaker 2: I don't know, this seems like a little arbitrary, but yeah. 394 00:19:52,040 --> 00:19:56,160 Speaker 4: Me, the conversation is that they created a boogeyman exactly 395 00:19:56,200 --> 00:20:01,160 Speaker 4: an exact narrative because we know by the many trans women, 396 00:20:02,480 --> 00:20:05,439 Speaker 4: how many trans athletes have you seen winning those awards? 397 00:20:05,560 --> 00:20:07,320 Speaker 4: And the people who are complaining are the people who 398 00:20:07,320 --> 00:20:11,480 Speaker 4: are in like fifth or last life, like fifth place 399 00:20:11,600 --> 00:20:13,560 Speaker 4: or whatever, like who cares? 400 00:20:14,000 --> 00:20:15,840 Speaker 3: Also, I don't ken like if you look at the 401 00:20:15,920 --> 00:20:17,840 Speaker 3: actual science, there's actually a lot of evidence it's like 402 00:20:18,000 --> 00:20:21,800 Speaker 3: HRT is uh like you're kind of at a disadvantage 403 00:20:21,800 --> 00:20:23,359 Speaker 3: if you're taking HRT because of the way that it 404 00:20:23,400 --> 00:20:25,280 Speaker 3: affects your body. Like it is sort of like, hey, like, 405 00:20:26,040 --> 00:20:28,600 Speaker 3: not only have we created the spoogeyman, were like literally 406 00:20:29,520 --> 00:20:32,200 Speaker 3: it's not based on any All of the science they're 407 00:20:32,240 --> 00:20:34,520 Speaker 3: chounting isn't real anyways, right, as well as. 408 00:20:34,480 --> 00:20:37,679 Speaker 4: The fact that they're almost given like an opportunity for 409 00:20:37,800 --> 00:20:42,199 Speaker 4: really pervy white men to be able to check on 410 00:20:42,320 --> 00:20:46,600 Speaker 4: women because you know this like needing to check genders 411 00:20:46,640 --> 00:20:47,760 Speaker 4: and bathroom usage. 412 00:20:47,800 --> 00:20:50,440 Speaker 2: You know, like this has almost become a ploy. 413 00:20:50,320 --> 00:20:53,240 Speaker 4: That you're trying to use against women to be like 414 00:20:53,280 --> 00:20:55,439 Speaker 4: we need to protective people. We need to protect the 415 00:20:55,680 --> 00:20:58,320 Speaker 4: young young children here and they're like, but you're using 416 00:20:58,359 --> 00:21:03,080 Speaker 4: this in order to physically violate children. 417 00:21:03,840 --> 00:21:06,560 Speaker 2: Congratulations, there's this episode. 418 00:21:06,880 --> 00:21:08,840 Speaker 3: A big theme of this episode is we'll get into 419 00:21:08,960 --> 00:21:11,919 Speaker 3: with talking about some of stuff with the Quomo campaign. Specifically, 420 00:21:12,040 --> 00:21:15,600 Speaker 3: is we have gotten to the point where, yeah, like 421 00:21:15,960 --> 00:21:18,400 Speaker 3: protecting women quote unquote doesn't mean anything. 422 00:21:19,640 --> 00:21:23,240 Speaker 2: Apparently that means assaulting women. Shocking. Who would have thought. 423 00:21:33,920 --> 00:21:36,320 Speaker 3: Pivoting a little bit to what mom Donni's platform actually 424 00:21:36,359 --> 00:21:37,240 Speaker 3: was what he ran on. 425 00:21:37,240 --> 00:21:39,240 Speaker 4: And eventually I need you to talk about his wife 426 00:21:39,240 --> 00:21:42,600 Speaker 4: because she has become a celebrity in herself. 427 00:21:43,000 --> 00:21:44,560 Speaker 3: Don't worry, don't worry. 428 00:21:45,480 --> 00:21:45,840 Speaker 2: You know what. 429 00:21:45,920 --> 00:21:47,520 Speaker 3: I was just talking about how I don't think we 430 00:21:47,520 --> 00:21:50,240 Speaker 3: should stand politicians, but I am Marama Stan Let's go 431 00:21:52,720 --> 00:21:55,760 Speaker 3: she ultimate you know what, it's her art is really cool, 432 00:21:55,800 --> 00:21:59,119 Speaker 3: by the way, I totally recommend checking it out. But 433 00:21:59,200 --> 00:22:01,359 Speaker 3: talk a little bit about mom Donnie's platform that he 434 00:22:01,480 --> 00:22:03,200 Speaker 3: ran on. I went to one of back and forth 435 00:22:03,240 --> 00:22:05,520 Speaker 3: about how I wanted to break this down because on 436 00:22:05,600 --> 00:22:07,639 Speaker 3: the one hand, I could just yeah, I focus on 437 00:22:07,680 --> 00:22:12,320 Speaker 3: like quote unquote women's issues. What's traditionally categorized as women's 438 00:22:12,320 --> 00:22:17,080 Speaker 3: issues like access to abortion and health and childcare and 439 00:22:17,160 --> 00:22:20,160 Speaker 3: like domestic violence resources, stuff like that. But I don't 440 00:22:20,200 --> 00:22:23,840 Speaker 3: think that really gets the whole picture. Really crazy idea 441 00:22:23,880 --> 00:22:26,920 Speaker 3: about to throw out here. Nobody's ever said this before, 442 00:22:27,440 --> 00:22:31,680 Speaker 3: but I think that all of all systems of injustice 443 00:22:31,720 --> 00:22:32,560 Speaker 3: they're connected. 444 00:22:33,800 --> 00:22:36,560 Speaker 2: Crazy, nobody's ever said that before. Again. 445 00:22:37,080 --> 00:22:41,120 Speaker 3: Uh, but in this sense, economic issues are women's issues 446 00:22:41,119 --> 00:22:44,480 Speaker 3: a because women are like participate and are affected by 447 00:22:44,480 --> 00:22:48,560 Speaker 3: the economy, whether you want to be or not. And 448 00:22:48,600 --> 00:22:52,120 Speaker 3: then be being a woman or being you know, assigned 449 00:22:52,119 --> 00:22:55,040 Speaker 3: female birth or whatever that means, you are more likely 450 00:22:55,080 --> 00:22:59,640 Speaker 3: to experience poverty across the board, especially. 451 00:22:59,359 --> 00:23:01,400 Speaker 2: Elderly women and single moms and trans women. 452 00:23:01,960 --> 00:23:03,720 Speaker 3: And so I think, like, yeah, again, if this is 453 00:23:03,720 --> 00:23:07,600 Speaker 3: these are issues that are going to disproportionately affect women, 454 00:23:08,119 --> 00:23:08,840 Speaker 3: in a sense. 455 00:23:08,680 --> 00:23:10,400 Speaker 2: They are women's issues. 456 00:23:10,040 --> 00:23:12,679 Speaker 4: Even though they don't we talk feminism the need for 457 00:23:12,720 --> 00:23:15,560 Speaker 4: feminism and why we say when we need feminism is 458 00:23:15,600 --> 00:23:16,800 Speaker 4: not just about women. 459 00:23:19,400 --> 00:23:21,480 Speaker 2: What blowing my mind right here? 460 00:23:22,520 --> 00:23:27,480 Speaker 3: I got to look into this whole thing you're talking about. Yeah, 461 00:23:27,520 --> 00:23:30,280 Speaker 3: so sorry, mom, Daddy ran on this idea of making 462 00:23:30,280 --> 00:23:32,199 Speaker 3: New York City and more affordable if you go to 463 00:23:32,320 --> 00:23:35,000 Speaker 3: his campaign's like platform page. 464 00:23:35,200 --> 00:23:36,240 Speaker 2: Literally the first. 465 00:23:36,000 --> 00:23:39,160 Speaker 3: Line is quote New York is too expensive, so are 466 00:23:39,200 --> 00:23:41,280 Speaker 3: on will lower costs and make your life easier? 467 00:23:42,400 --> 00:23:44,400 Speaker 2: Sounds good to me? It is it is too expensive. 468 00:23:46,240 --> 00:23:49,880 Speaker 3: Particularly, some issues that he was focusing on were looking 469 00:23:49,880 --> 00:23:53,560 Speaker 3: at freezing rent, building word affordable housing, raising minimum wage. 470 00:23:53,920 --> 00:23:55,639 Speaker 2: These all again sound great to me. 471 00:23:55,920 --> 00:23:58,800 Speaker 3: Is somebody just living in New York City and not 472 00:23:59,080 --> 00:24:03,080 Speaker 3: being super wealthy. Also campaigns on free buses and city 473 00:24:03,160 --> 00:24:04,200 Speaker 3: run grocery stores. 474 00:24:05,240 --> 00:24:07,000 Speaker 2: So yeah, these obviously. 475 00:24:06,600 --> 00:24:10,280 Speaker 3: Don't only affect women, but these definitely affect women. I 476 00:24:10,320 --> 00:24:12,240 Speaker 3: know a lot of women whose lives would be way 477 00:24:12,280 --> 00:24:16,199 Speaker 3: easier if any or all of these were instituted. But 478 00:24:16,240 --> 00:24:18,879 Speaker 3: if we want to look particularly at like what are 479 00:24:18,920 --> 00:24:21,960 Speaker 3: traditionally seen a quote unquote women's issues, there's an entire 480 00:24:22,000 --> 00:24:26,919 Speaker 3: section on early childhood and education which proposes quote this 481 00:24:27,000 --> 00:24:31,280 Speaker 3: is also again from his campaign's website quote free child 482 00:24:31,320 --> 00:24:34,159 Speaker 3: care for every New Yorker aged six weeks. 483 00:24:33,920 --> 00:24:34,760 Speaker 2: To five years. 484 00:24:35,200 --> 00:24:37,639 Speaker 3: Side note, I really love that they said every New 485 00:24:37,720 --> 00:24:39,560 Speaker 3: Yorker aged six weeks. Like the idea of looking at 486 00:24:39,600 --> 00:24:41,880 Speaker 3: a six week year old baby and being like that's 487 00:24:41,880 --> 00:24:46,040 Speaker 3: a New Yorker, Like just that is like a very 488 00:24:46,040 --> 00:24:49,280 Speaker 3: funny image to me. I don't know, I'm picturing like, 489 00:24:51,000 --> 00:24:55,399 Speaker 3: I don't know, like old school, like Martin scoresizing a character, 490 00:24:56,040 --> 00:24:57,159 Speaker 3: but like a tiny baby. 491 00:24:58,040 --> 00:25:01,320 Speaker 4: I'm imagining an infant industroller. People to get out the way. 492 00:25:01,240 --> 00:25:04,840 Speaker 2: Exactly exactly with like both like accenting. Yeah. 493 00:25:05,040 --> 00:25:08,560 Speaker 3: His campaign also proposes baby baskets for newborns, which would 494 00:25:08,600 --> 00:25:11,800 Speaker 3: include quote a collection of essential goods and resources pre 495 00:25:11,880 --> 00:25:15,000 Speaker 3: of charge, including items like diapers, baby wipes, nursing pads, 496 00:25:15,280 --> 00:25:19,040 Speaker 3: postpartum pads, wattles, and books. Each NYC baby basket will 497 00:25:19,080 --> 00:25:22,040 Speaker 3: also include a resource guide of information on the city's 498 00:25:22,119 --> 00:25:28,080 Speaker 3: newborn home visiting program, breastfeeding, postpartum depression, and more so 499 00:25:28,200 --> 00:25:31,120 Speaker 3: shout out for bringing up postpartum depression. 500 00:25:31,359 --> 00:25:32,880 Speaker 2: Just something I don't think we talk about it enough. 501 00:25:33,640 --> 00:25:35,359 Speaker 2: But yeah, I again. 502 00:25:36,760 --> 00:25:41,399 Speaker 3: Within his platform, highlighting that he wants to make it 503 00:25:41,440 --> 00:25:47,240 Speaker 3: easier for new moms, new families to live their lives, 504 00:25:47,400 --> 00:25:52,520 Speaker 3: to re enter the workforce with free childcare and education, 505 00:25:52,680 --> 00:25:53,040 Speaker 3: all of that. 506 00:25:56,520 --> 00:25:58,440 Speaker 2: This is all good in my book, you know. 507 00:25:59,600 --> 00:26:03,480 Speaker 3: There's also a section, an entire section on LGBTQ plus protections, 508 00:26:04,280 --> 00:26:07,040 Speaker 3: which again that really stood out to me. Again looking 509 00:26:07,080 --> 00:26:10,879 Speaker 3: at the Democratic Party right now and seeing certain people 510 00:26:12,640 --> 00:26:15,240 Speaker 3: within the party that are really encouraging people to like 511 00:26:15,280 --> 00:26:18,400 Speaker 3: pull back from lgbt issues. The fact that they made 512 00:26:18,400 --> 00:26:21,280 Speaker 3: this like a whole section on their page really says 513 00:26:21,320 --> 00:26:24,280 Speaker 3: something to me. So it says, quote, the mom Donian 514 00:26:24,280 --> 00:26:29,240 Speaker 3: Administration will protect lgbt qia plus New Yorkers by expanding 515 00:26:29,320 --> 00:26:32,639 Speaker 3: and protecting gender firming care city wide, making NYC and 516 00:26:32,800 --> 00:26:38,159 Speaker 3: LGBTQIA plus Sextuary City, and creating the Office of lgbt 517 00:26:38,359 --> 00:26:40,680 Speaker 3: QIA Plus Affairs. 518 00:26:43,160 --> 00:26:45,800 Speaker 2: We're finally going to get a burrow of ge Let's go. 519 00:26:46,359 --> 00:26:48,000 Speaker 6: Yes, Gay City is happening. 520 00:26:51,119 --> 00:26:52,680 Speaker 3: I want to just throw Miname into the throwing. I 521 00:26:52,680 --> 00:26:56,720 Speaker 3: think I would make a great Minister of Day Life 522 00:26:56,840 --> 00:27:00,560 Speaker 3: of New York City, just saying anyways, this section also 523 00:27:00,680 --> 00:27:04,760 Speaker 3: highlights the fact that guess lgbt QIA plus New Yorkers 524 00:27:04,800 --> 00:27:07,280 Speaker 3: are more likely to be affected by economic issues. 525 00:27:07,320 --> 00:27:09,399 Speaker 2: So yeah, a nuance again going back to that issue of. 526 00:27:09,720 --> 00:27:14,240 Speaker 3: Women are more affected, particularly queer women, particularly queer people 527 00:27:14,280 --> 00:27:17,760 Speaker 3: in general. There is a longer memo on this topic 528 00:27:17,920 --> 00:27:21,720 Speaker 3: that points specifically to something that happened earlier this year. Quote, 529 00:27:21,800 --> 00:27:24,679 Speaker 3: a private institution operating with a quarter billion dollar public 530 00:27:24,680 --> 00:27:27,200 Speaker 3: subsidy should not have the ability to sell out young 531 00:27:27,240 --> 00:27:30,000 Speaker 3: trans New Yorkers to the Trump administration. Yet that's exactly 532 00:27:30,080 --> 00:27:32,440 Speaker 3: what happened when NYU Didn't Lang Going decided to stop 533 00:27:32,480 --> 00:27:36,200 Speaker 3: providing gender affirming care for trans youth. Soon after, other 534 00:27:36,320 --> 00:27:40,400 Speaker 3: private NYC hospitals also stopped providing necessary life stating healthcare 535 00:27:40,520 --> 00:27:43,919 Speaker 3: for trans youth. These decisions are indirect contradictions with New 536 00:27:43,960 --> 00:27:48,160 Speaker 3: York state law. So much terrible stuff has happened this year. 537 00:27:48,280 --> 00:27:50,359 Speaker 3: I don't blame you if you missed this story or 538 00:27:50,400 --> 00:27:55,080 Speaker 3: if you just like forgot about it. But as they're 539 00:27:55,080 --> 00:27:57,920 Speaker 3: saying in this memo, this was a moment I think 540 00:27:57,960 --> 00:28:01,520 Speaker 3: that was particularly despicable to me because it again, yeah, 541 00:28:01,680 --> 00:28:05,960 Speaker 3: it directly contradicted New York state law. This was back 542 00:28:06,000 --> 00:28:08,399 Speaker 3: in February, so this is early on in the Trump administration. 543 00:28:08,480 --> 00:28:10,359 Speaker 3: This was kind of an early example of a private 544 00:28:10,400 --> 00:28:16,560 Speaker 3: institution caving to the Trump Administration's policies preemptively. I actually 545 00:28:16,560 --> 00:28:20,960 Speaker 3: covered a protest when this happened for another show that 546 00:28:21,000 --> 00:28:23,840 Speaker 3: I work on called Afterlives shameless plug there please go 547 00:28:23,880 --> 00:28:24,400 Speaker 3: listen to that. 548 00:28:24,800 --> 00:28:25,960 Speaker 2: And it was. 549 00:28:27,440 --> 00:28:31,640 Speaker 3: Like, very it was incredibly moving hearing some of these 550 00:28:31,720 --> 00:28:35,600 Speaker 3: kids speak like, I admire their bravery so much. 551 00:28:35,760 --> 00:28:38,960 Speaker 2: I was like tearing up during parts of it. It truly, 552 00:28:39,160 --> 00:28:40,680 Speaker 2: it was so heartbreaking to hear. 553 00:28:44,080 --> 00:28:48,200 Speaker 3: I This was like one of those moments where I think, 554 00:28:48,240 --> 00:28:50,280 Speaker 3: like you're seeing in front of you, like the people 555 00:28:50,320 --> 00:28:51,800 Speaker 3: that are literally affected by it, and a lot of 556 00:28:51,800 --> 00:28:54,360 Speaker 3: times it's kids, and it's like that they shouldn't be 557 00:28:54,360 --> 00:28:58,520 Speaker 3: having to shoulder this. Yeah, it's messed up, and it's 558 00:28:58,520 --> 00:29:01,880 Speaker 3: messed up that they are suffering because these institutions are 559 00:29:01,920 --> 00:29:06,520 Speaker 3: just sort of preemptively caving or Trump. So I think 560 00:29:06,600 --> 00:29:10,640 Speaker 3: seeing that that particularly was getting called out in this memo, 561 00:29:11,040 --> 00:29:13,520 Speaker 3: that was a good efectomy. I think that is something 562 00:29:13,520 --> 00:29:16,440 Speaker 3: that it is like, this is an issue is taking seriously. 563 00:29:16,600 --> 00:29:21,600 Speaker 3: He is really committed to protecting gender affirming care, combating some. 564 00:29:21,560 --> 00:29:23,840 Speaker 2: Of these very vague. 565 00:29:25,560 --> 00:29:28,880 Speaker 3: Order executive orders and court rulings and whatever from the 566 00:29:28,880 --> 00:29:32,120 Speaker 3: Trump administration and saying like, no, New York is a sanctuary. 567 00:29:32,320 --> 00:29:34,000 Speaker 3: New York is a very gay city. New York is 568 00:29:34,040 --> 00:29:38,360 Speaker 3: a very queer city. Stonewall happened here, Like we're not letting. 569 00:29:38,120 --> 00:29:42,000 Speaker 2: Go of that. So yeah, all of those issues. 570 00:29:41,760 --> 00:29:43,920 Speaker 3: Combined, I would say I'm looking at this and my 571 00:29:44,360 --> 00:29:47,880 Speaker 3: brain is like, sounds like this is a pretty feminist candidate. 572 00:29:48,080 --> 00:29:50,080 Speaker 2: Sounds like he. 573 00:29:52,040 --> 00:29:56,400 Speaker 3: Treats women and queer people and people that aren't sis 574 00:29:56,400 --> 00:29:59,800 Speaker 3: gender and everybody in between and whatever. It seems like 575 00:29:59,840 --> 00:30:03,200 Speaker 3: he he respects them as human beings. Like to see 576 00:30:03,200 --> 00:30:06,680 Speaker 3: that from a candidate kind of hard to find these days. 577 00:30:07,280 --> 00:30:08,080 Speaker 2: But that brings me. 578 00:30:08,040 --> 00:30:09,800 Speaker 3: To a question which I brought this up before we 579 00:30:09,800 --> 00:30:11,800 Speaker 3: started recording, which I'm kind of curious to hear your 580 00:30:11,800 --> 00:30:18,440 Speaker 3: thoughts on. Obviously, another aspect of this election, and particularly 581 00:30:18,480 --> 00:30:20,240 Speaker 3: in the last couple of weeks, weeks leading off to it, 582 00:30:20,480 --> 00:30:22,840 Speaker 3: there was a lot of Islamophobic fear mongering, and there 583 00:30:22,920 --> 00:30:27,800 Speaker 3: was a lot of the kind of assertions that I've 584 00:30:27,840 --> 00:30:31,400 Speaker 3: heard throughout my entire life as somebody who was two 585 00:30:31,480 --> 00:30:33,880 Speaker 3: years old when nine to eleven happened, and you know, 586 00:30:34,040 --> 00:30:36,920 Speaker 3: grew up in the aftermath of all that, which is 587 00:30:36,960 --> 00:30:42,920 Speaker 3: this idea that Islam is particularly brutal to women, and 588 00:30:43,440 --> 00:30:47,360 Speaker 3: you know, we need to protect white women, I mean 589 00:30:47,400 --> 00:30:51,520 Speaker 3: just women, but they mean white women from this kind 590 00:30:51,520 --> 00:30:54,840 Speaker 3: of scary boogeyman of Islam. There was a lot of 591 00:30:54,880 --> 00:30:58,240 Speaker 3: fear mongering about like he's gonna in state Sharia law. 592 00:31:00,080 --> 00:31:00,520 Speaker 2: I love that. 593 00:31:00,640 --> 00:31:05,120 Speaker 3: I have seen the like Shakira law uh meme going 594 00:31:05,160 --> 00:31:08,440 Speaker 3: around so many times with just people putting the gift 595 00:31:08,440 --> 00:31:09,800 Speaker 3: of Shakira dancing, and. 596 00:31:10,160 --> 00:31:13,360 Speaker 2: I do love that. But uh yeah, like they're there. 597 00:31:13,120 --> 00:31:16,840 Speaker 3: Which again shocking that the right is contradicting itself. This 598 00:31:16,880 --> 00:31:20,360 Speaker 3: is also then they're saying like, uh sharia law. 599 00:31:20,400 --> 00:31:21,840 Speaker 2: And then they're also like and he's. 600 00:31:21,680 --> 00:31:26,320 Speaker 3: A far left radical and he's gonna bring Stalinism, maoism, 601 00:31:26,760 --> 00:31:29,880 Speaker 3: evil godless kami, Like what what are you? 602 00:31:29,960 --> 00:31:33,200 Speaker 2: Anyways, they don't need it to make sense. 603 00:31:33,240 --> 00:31:36,640 Speaker 3: But my question is does this sort of fear mongering 604 00:31:36,680 --> 00:31:39,560 Speaker 3: strategy does it still work? Does this fear mongering on 605 00:31:39,640 --> 00:31:43,240 Speaker 3: ISLM still work in twenty twenty five, I would say 606 00:31:43,280 --> 00:31:45,560 Speaker 3: yes and no. I think again, we're also looking at 607 00:31:45,560 --> 00:31:47,240 Speaker 3: New York City. We're not looking at the whole country, 608 00:31:47,280 --> 00:31:49,480 Speaker 3: so it is a different story. But I was curious 609 00:31:49,520 --> 00:31:51,920 Speaker 3: as to you, I guess, from two non New Yorkers, 610 00:31:52,040 --> 00:31:53,200 Speaker 3: what were your thoughts on this? 611 00:31:53,480 --> 00:31:54,200 Speaker 2: Aye and Samantha. 612 00:31:55,120 --> 00:31:56,880 Speaker 4: You know, I'm not gonna lie because I didn't know. 613 00:31:57,480 --> 00:32:00,720 Speaker 4: I knew he was not white, that part was obvious. 614 00:32:01,160 --> 00:32:04,040 Speaker 4: I didn't know much about his background. I just saw 615 00:32:04,160 --> 00:32:10,200 Speaker 4: political takes and how much white people really. 616 00:32:11,480 --> 00:32:13,640 Speaker 6: I didn't like him, and. 617 00:32:13,200 --> 00:32:15,080 Speaker 3: There's also I will really quick, I've had it, And 618 00:32:15,080 --> 00:32:15,880 Speaker 3: there's also is some. 619 00:32:18,080 --> 00:32:18,959 Speaker 2: I uh. 620 00:32:19,480 --> 00:32:23,160 Speaker 3: There was some sort of fear mongering around particularly the. 621 00:32:24,640 --> 00:32:26,360 Speaker 2: Israel and the. 622 00:32:26,320 --> 00:32:31,520 Speaker 3: Fact which interestingly he he has not said anything. 623 00:32:31,360 --> 00:32:36,200 Speaker 2: Like yeah, particularly bad about Israel. 624 00:32:36,360 --> 00:32:39,120 Speaker 3: I think he had shown up in support of, like 625 00:32:39,120 --> 00:32:43,280 Speaker 3: like protesting the genocide that's happening now, right, and that 626 00:32:43,480 --> 00:32:46,160 Speaker 3: was getting turned into into like the news cycle and like, 627 00:32:46,200 --> 00:32:48,640 Speaker 3: oh my god, he hates the Jews and he thinks that. 628 00:32:48,640 --> 00:32:51,400 Speaker 2: Israel is we should destroy Israel, and it was like, 629 00:32:51,520 --> 00:32:53,720 Speaker 2: I don't think he said that ever. 630 00:32:55,320 --> 00:32:59,560 Speaker 4: Yeah, anti Semitic, and somehow also translated into like does 631 00:32:59,600 --> 00:33:03,760 Speaker 4: he have funds that is going to places I don't. 632 00:33:03,800 --> 00:33:09,200 Speaker 4: I'm gonna don't understand his threat in that specific conversation. 633 00:33:08,720 --> 00:33:11,040 Speaker 6: Other than influence, I guess. 634 00:33:10,800 --> 00:33:12,160 Speaker 2: Because there was really funny. 635 00:33:12,240 --> 00:33:13,440 Speaker 6: It was really interesting. 636 00:33:13,600 --> 00:33:19,440 Speaker 4: Yeah was out wait who oh the general thrashed out 637 00:33:19,560 --> 00:33:22,720 Speaker 4: after the results and I was like, yeah, I'm confused. 638 00:33:22,880 --> 00:33:23,720 Speaker 2: I'll be so real. 639 00:33:23,760 --> 00:33:26,960 Speaker 3: I did not know who Dever Messang was, but she 640 00:33:27,920 --> 00:33:29,680 Speaker 3: from another podcast that I was listening to her that was 641 00:33:29,720 --> 00:33:33,400 Speaker 3: like going into djil about the whole situation that was like, oh, yeah, 642 00:33:33,440 --> 00:33:38,680 Speaker 3: this makes sense, washed up after grifter fit got it. 643 00:33:38,720 --> 00:33:42,320 Speaker 6: Uh her flip her red pill like turn. 644 00:33:42,760 --> 00:33:45,000 Speaker 2: It is like should be studied to be honest, but 645 00:33:45,080 --> 00:33:45,840 Speaker 2: it's terf. 646 00:33:46,080 --> 00:33:48,840 Speaker 3: It's like terf ideology and it is like Zionism. That 647 00:33:48,880 --> 00:33:51,400 Speaker 3: are the two things that like really get people like 648 00:33:51,600 --> 00:33:51,840 Speaker 3: it is. 649 00:33:52,680 --> 00:33:54,120 Speaker 2: There's a whole other conversation and were going to a 650 00:33:54,120 --> 00:33:56,840 Speaker 2: whole episode about that at some point. But there was a. 651 00:33:56,840 --> 00:33:59,400 Speaker 3: Very funny moment in the one of the debates leading 652 00:33:59,480 --> 00:34:02,280 Speaker 3: up to the prime where it was the Democratic nominees, 653 00:34:02,360 --> 00:34:06,160 Speaker 3: where they asked the question was basically like, hey, if 654 00:34:06,200 --> 00:34:08,560 Speaker 3: you when you become mayor of New York City, where 655 00:34:08,560 --> 00:34:11,440 Speaker 3: it's the first place you're going to go, And everybody 656 00:34:11,480 --> 00:34:13,640 Speaker 3: down the line said tel Aviv And then they get 657 00:34:13,680 --> 00:34:16,200 Speaker 3: to Zoron and he was like I'm staying in New York, 658 00:34:16,400 --> 00:34:18,480 Speaker 3: like this is the city I'm supposed to be running, 659 00:34:18,480 --> 00:34:22,240 Speaker 3: which I was like, yeah, why are you doing there? 660 00:34:22,360 --> 00:34:26,200 Speaker 3: Our current mayor literally got indicted for like taking bribes 661 00:34:26,239 --> 00:34:28,560 Speaker 3: from Turkey, Like I don't want to hear what other 662 00:34:29,000 --> 00:34:31,200 Speaker 3: countries they're going to, Like how are you going to 663 00:34:31,280 --> 00:34:31,960 Speaker 3: fix the problems? 664 00:34:32,280 --> 00:34:32,920 Speaker 2: Which I don't know. 665 00:34:32,960 --> 00:34:35,680 Speaker 3: He had a very funny, very I think like professional 666 00:34:35,719 --> 00:34:38,239 Speaker 3: to say response where he basically was like, yeah, no, 667 00:34:38,400 --> 00:34:41,200 Speaker 3: like this is a we're talking about local issues. 668 00:34:41,239 --> 00:34:42,920 Speaker 2: We should be talking about local issues. 669 00:34:43,440 --> 00:34:45,319 Speaker 3: I'm saying in New York, I'm fixing the problems here, 670 00:34:45,360 --> 00:34:48,439 Speaker 3: which I was like, yeah, Like that's what I want 671 00:34:48,440 --> 00:34:48,719 Speaker 3: to hear. 672 00:34:48,960 --> 00:34:52,680 Speaker 6: All right, that makes the most sense. You're the mayor, right. 673 00:35:02,480 --> 00:35:04,320 Speaker 4: I felt like this election specifically, it was gonna be 674 00:35:04,360 --> 00:35:07,359 Speaker 4: a litmus test to a lot in the country, like 675 00:35:07,480 --> 00:35:11,400 Speaker 4: whether or not I understood everything about him. Like I said, 676 00:35:11,800 --> 00:35:14,399 Speaker 4: I thought he was from an Indian background and his 677 00:35:14,440 --> 00:35:19,879 Speaker 4: family Clindage is but then he's from his He was 678 00:35:22,560 --> 00:35:25,680 Speaker 4: so like, all of those things are separate in these conversations. 679 00:35:25,719 --> 00:35:28,520 Speaker 4: So I was kind of just confused about this fear 680 00:35:28,600 --> 00:35:32,440 Speaker 4: mongering about that specifically. I'm like, is this because he's brown? 681 00:35:32,760 --> 00:35:35,000 Speaker 4: And again I don't know anything about how religion none 682 00:35:35,000 --> 00:35:37,400 Speaker 4: of that. I was like, are we back to just 683 00:35:37,560 --> 00:35:42,400 Speaker 4: racially profiling based on literal skin color? Like I'm like, 684 00:35:42,680 --> 00:35:46,399 Speaker 4: not understanding the background. So for me, all of that 685 00:35:46,560 --> 00:35:50,880 Speaker 4: was odd. But watching this election knowing that this would 686 00:35:50,880 --> 00:35:54,720 Speaker 4: be a catalyst to what is happening around the country 687 00:35:54,760 --> 00:35:57,279 Speaker 4: because it's kind of like New York. Maybe New York 688 00:35:57,280 --> 00:35:59,680 Speaker 4: City may be the more extreme, but it needs to 689 00:35:59,719 --> 00:36:02,759 Speaker 4: be the more extreme, so we could have change everywhere 690 00:36:02,760 --> 00:36:03,719 Speaker 4: else where we don't. 691 00:36:03,760 --> 00:36:04,920 Speaker 6: We will have a middle ground. 692 00:36:05,480 --> 00:36:08,360 Speaker 4: And so that middle ground comes from what does the 693 00:36:08,480 --> 00:36:12,239 Speaker 4: extremists areas have And I don't mean they're extrememists. I'm 694 00:36:12,280 --> 00:36:15,640 Speaker 4: just saying, like in literal like it seems more to 695 00:36:15,719 --> 00:36:20,880 Speaker 4: the right to the left of somewhere, so exactly, so 696 00:36:21,040 --> 00:36:22,800 Speaker 4: like in that level, like what does has look like 697 00:36:22,840 --> 00:36:24,520 Speaker 4: for the rest of the country. If we see this 698 00:36:24,600 --> 00:36:27,440 Speaker 4: as a people group, we know that there is hope 699 00:36:28,200 --> 00:36:31,920 Speaker 4: and seeing that local elections are so important that it 700 00:36:31,960 --> 00:36:36,640 Speaker 4: does once again help to kind of predict what is 701 00:36:36,680 --> 00:36:37,480 Speaker 4: the next leading So. 702 00:36:37,440 --> 00:36:39,279 Speaker 6: That's how I saw it. Any, I don't, I don't. 703 00:36:39,320 --> 00:36:40,200 Speaker 6: What are your thoughts? 704 00:36:44,000 --> 00:36:45,480 Speaker 2: Okay, so nothing is one part. 705 00:36:45,480 --> 00:36:46,640 Speaker 6: I don't think I answered that, pot. 706 00:36:47,480 --> 00:36:49,799 Speaker 3: I I'll I've been actually an inter interjact really quick. 707 00:36:49,840 --> 00:36:52,120 Speaker 3: I think to what you were saying. Something I think 708 00:36:52,239 --> 00:36:54,399 Speaker 3: was really interesting was like there obviously there was kind 709 00:36:54,400 --> 00:36:57,600 Speaker 3: of the underlying asamophobia. There was and like you said, 710 00:36:57,680 --> 00:36:59,400 Speaker 3: this was an election in New York City. It's the 711 00:36:59,440 --> 00:37:02,360 Speaker 3: biggest city in the United States. It is a local election, 712 00:37:02,480 --> 00:37:04,719 Speaker 3: but also it is kind of a Linimus test for 713 00:37:04,760 --> 00:37:06,640 Speaker 3: the Democratic Party. It does sort of like set the 714 00:37:06,680 --> 00:37:08,959 Speaker 3: tone for what the Democratic Party is when to be there. 715 00:37:09,080 --> 00:37:10,799 Speaker 3: When we saw the primary, there was a lot chatter 716 00:37:10,960 --> 00:37:12,959 Speaker 3: from you know, within the Democratic Party of. 717 00:37:12,880 --> 00:37:16,080 Speaker 2: Like, oh my god, whoa what does this mean? 718 00:37:16,160 --> 00:37:20,400 Speaker 3: We're gonna actually have to adjust our platform to issues 719 00:37:20,400 --> 00:37:23,600 Speaker 3: that people care about what? But there was Yeah, so 720 00:37:23,600 --> 00:37:27,000 Speaker 3: there was some early is obviously from like the right 721 00:37:27,160 --> 00:37:30,040 Speaker 3: and from Trump that was very loud because everybody was 722 00:37:30,040 --> 00:37:32,879 Speaker 3: paying attention to this election at the same time. 723 00:37:32,920 --> 00:37:35,359 Speaker 2: I think, like looking. 724 00:37:35,040 --> 00:37:39,160 Speaker 3: Particularly at the month leading up to the election, the 725 00:37:39,200 --> 00:37:42,120 Speaker 3: Cuomo campaign like doubled down to that as well, Like 726 00:37:42,160 --> 00:37:45,200 Speaker 3: it was sort of like a hail Mary, Like there 727 00:37:45,200 --> 00:37:50,959 Speaker 3: were he released some really terrible statements being like, oh, yeah, 728 00:37:51,000 --> 00:37:52,920 Speaker 3: he would like cheer on an under nine to eleven 729 00:37:52,920 --> 00:37:57,280 Speaker 3: if it happened, like terrible insane thing to say. Yeah, 730 00:37:57,640 --> 00:37:59,759 Speaker 3: Like there was a point where you could tell like 731 00:37:59,760 --> 00:38:02,839 Speaker 3: the campaign was sort of like, you know what, final hour, 732 00:38:03,000 --> 00:38:06,640 Speaker 3: Let's see if this works, and it didn't. 733 00:38:07,280 --> 00:38:07,680 Speaker 2: It didn't. 734 00:38:07,800 --> 00:38:11,680 Speaker 3: I think that is worth looking at. But it still 735 00:38:11,880 --> 00:38:14,719 Speaker 3: was attacked at big try, so it is sort of like, yeah, again, 736 00:38:14,840 --> 00:38:18,279 Speaker 3: it's it's on the one hand, it is like we 737 00:38:18,400 --> 00:38:21,920 Speaker 3: still I'm shocking that America is still racist. 738 00:38:22,000 --> 00:38:22,880 Speaker 2: Who would have thought? 739 00:38:23,480 --> 00:38:25,279 Speaker 3: But also I think there is a question of, like, 740 00:38:25,640 --> 00:38:27,319 Speaker 3: it's not going to be as effective as it was. 741 00:38:27,480 --> 00:38:30,960 Speaker 2: I think that there is like more pushback to that. 742 00:38:30,960 --> 00:38:35,200 Speaker 3: That feels good to me, that feels like we're headed 743 00:38:35,239 --> 00:38:35,880 Speaker 3: in a good direction. 744 00:38:36,200 --> 00:38:45,080 Speaker 1: But yes, okay, so related. I I knew I knew 745 00:38:45,080 --> 00:38:47,480 Speaker 1: what was going on in the New York collection, but 746 00:38:47,560 --> 00:38:50,920 Speaker 1: I only kind of knew the I like the basics, 747 00:38:51,360 --> 00:38:54,359 Speaker 1: and then SNL did a sketch on it, and it 748 00:38:54,400 --> 00:38:56,319 Speaker 1: was I was reading the comments and I was like, oh, 749 00:38:56,320 --> 00:38:57,960 Speaker 1: New Yorkers, you guys are so funny. 750 00:38:59,400 --> 00:39:07,480 Speaker 2: So but I would say that in my. 751 00:39:09,280 --> 00:39:14,360 Speaker 1: What I encountered about the kind of Islamophobia regards in 752 00:39:14,400 --> 00:39:18,880 Speaker 1: regards to women issue with this, I've I mean, I 753 00:39:18,920 --> 00:39:22,720 Speaker 1: always thought and still think that that's just a let's 754 00:39:23,120 --> 00:39:25,319 Speaker 1: here's the blame. Here's just really scary, we actually don't 755 00:39:25,320 --> 00:39:28,359 Speaker 1: care about women. I've always thought that, but I think 756 00:39:28,400 --> 00:39:33,839 Speaker 1: in this case that in so many rights have just 757 00:39:33,920 --> 00:39:38,520 Speaker 1: gotten pushed back, and I don't even think people cared 758 00:39:38,560 --> 00:39:41,720 Speaker 1: about that I think they just cared he was Muslim 759 00:39:41,719 --> 00:39:43,560 Speaker 1: and didn't have to go a step. 760 00:39:43,320 --> 00:39:45,160 Speaker 2: Further right, Like it's almost sort of. 761 00:39:45,200 --> 00:39:47,200 Speaker 3: Like the right is so mask off at this point 762 00:39:47,200 --> 00:39:48,960 Speaker 3: that they don't even have to pretend to care about women, 763 00:39:49,000 --> 00:39:51,359 Speaker 3: because again, like what you're saying, I always was kind 764 00:39:51,400 --> 00:39:53,480 Speaker 3: of just a grift. It was a like pretending to 765 00:39:53,560 --> 00:39:58,520 Speaker 3: carer meanwhile, where we don't want women to vote. But 766 00:39:59,200 --> 00:40:02,719 Speaker 3: like I think I kind of agree with you where 767 00:40:02,719 --> 00:40:04,840 Speaker 3: I think like there was so much fear mongering among 768 00:40:05,040 --> 00:40:07,080 Speaker 3: around the fact that he was Muslim, that he uh 769 00:40:07,560 --> 00:40:10,160 Speaker 3: was a like brown man running for office. 770 00:40:10,640 --> 00:40:13,359 Speaker 2: Uh, But. 771 00:40:15,480 --> 00:40:19,040 Speaker 3: I wasn't like there was Yeah, again like when people 772 00:40:19,040 --> 00:40:21,759 Speaker 3: say sharia law, we know they're they're we know what 773 00:40:21,800 --> 00:40:24,040 Speaker 3: they're talking about. They are like kind of pulling back 774 00:40:24,080 --> 00:40:26,239 Speaker 3: to like Taliban images. But at the same time, there 775 00:40:26,280 --> 00:40:30,399 Speaker 3: wasn't as much like direct like like I wasn't I think, 776 00:40:30,440 --> 00:40:32,920 Speaker 3: like the rhetoric that I remember hearing growing up a 777 00:40:32,960 --> 00:40:35,839 Speaker 3: lot around like the war in Afghanistan and the war 778 00:40:35,840 --> 00:40:38,200 Speaker 3: in Iraq and like quote unquote why we were there 779 00:40:38,239 --> 00:40:40,040 Speaker 3: and we were there to like liberate. 780 00:40:39,640 --> 00:40:40,560 Speaker 2: Women from the Taliban. 781 00:40:40,680 --> 00:40:43,759 Speaker 3: I wasn't hearing as much of like that rhetoric, which again, 782 00:40:43,800 --> 00:40:45,640 Speaker 3: I I. 783 00:40:44,880 --> 00:40:45,480 Speaker 2: That is bullshit. 784 00:40:45,480 --> 00:40:47,279 Speaker 3: I'm wanna say that's bull because these are the same 785 00:40:47,320 --> 00:40:49,960 Speaker 3: people that again now don't want women to have the 786 00:40:50,040 --> 00:40:50,680 Speaker 3: right to vote. 787 00:40:51,360 --> 00:40:51,960 Speaker 5: Uh. 788 00:40:53,120 --> 00:40:54,440 Speaker 2: But yeah, Like I think. 789 00:40:54,280 --> 00:40:57,680 Speaker 3: It is interesting that we have gotten so far, like 790 00:40:57,719 --> 00:40:59,640 Speaker 3: the right has gone so far that they like can't 791 00:40:59,640 --> 00:41:03,359 Speaker 3: even tend to care about that anymore, which I think 792 00:41:03,440 --> 00:41:06,160 Speaker 3: ultimately ends up kind of being a good thing because then, yeah, 793 00:41:06,200 --> 00:41:10,839 Speaker 3: you're gonna have less like centrist center left feminists that 794 00:41:10,920 --> 00:41:13,240 Speaker 3: are going to kind of get conned into thinking this way, 795 00:41:13,320 --> 00:41:18,319 Speaker 3: which yeah, like it's I guess, I guess maybe it's 796 00:41:18,320 --> 00:41:21,840 Speaker 3: good that they're just going full crazy fascist at this point. 797 00:41:22,000 --> 00:41:22,480 Speaker 2: I don't know. 798 00:41:23,360 --> 00:41:25,040 Speaker 4: Yeah, yeah, it's kind of nice to know who your 799 00:41:25,160 --> 00:41:28,040 Speaker 4: enemy is. Yeah, But I do find it interesting because 800 00:41:28,200 --> 00:41:30,880 Speaker 4: if as it was supposed to be, and as we 801 00:41:31,080 --> 00:41:35,120 Speaker 4: understand it, that there's a separation of church and state, 802 00:41:35,840 --> 00:41:40,319 Speaker 4: and that's how I believe like politicians should be, and 803 00:41:40,360 --> 00:41:42,680 Speaker 4: he's kind of in that level of like, oh, yeah, 804 00:41:42,760 --> 00:41:44,960 Speaker 4: we trust that he's going to understand, like not that 805 00:41:45,000 --> 00:41:47,279 Speaker 4: there's anything being wrong with Muslim but that's just not 806 00:41:47,320 --> 00:41:50,120 Speaker 4: a factor unless that's what your stance is on. 807 00:41:50,239 --> 00:41:52,359 Speaker 6: As we see with Christian nationalism, you. 808 00:41:52,320 --> 00:41:53,880 Speaker 2: Know exactly exactly. 809 00:41:53,920 --> 00:41:56,680 Speaker 3: I mean, at the end of the day, I look, 810 00:41:56,719 --> 00:41:59,759 Speaker 3: there's politicians that I respect that I'm like, I know 811 00:41:59,840 --> 00:42:04,000 Speaker 3: that there they don't have the same beliefs as me, 812 00:42:04,120 --> 00:42:10,440 Speaker 3: whether they're Christian or Muslim or whatever, and like I 813 00:42:10,480 --> 00:42:13,040 Speaker 3: also understand, like I don't know. Yeah, Like for me, 814 00:42:13,120 --> 00:42:14,520 Speaker 3: I never was a concern that I was. 815 00:42:14,520 --> 00:42:17,120 Speaker 4: Like, I'm more concerned if that is a stance that 816 00:42:17,160 --> 00:42:20,000 Speaker 4: you're putting your your like political views on. If you're 817 00:42:20,000 --> 00:42:22,200 Speaker 4: sitting here and saying, I believe God is the foremost 818 00:42:22,280 --> 00:42:25,440 Speaker 4: so therefore everything in law should be based on my 819 00:42:25,600 --> 00:42:28,400 Speaker 4: beliefs in God as we are seeing. 820 00:42:28,280 --> 00:42:31,560 Speaker 3: In Like, I think there's also something to be said 821 00:42:31,560 --> 00:42:37,520 Speaker 3: about the fact that again Like he made queer rights 822 00:42:37,760 --> 00:42:41,800 Speaker 3: a tenth pole of his campaign. He the weekend before 823 00:42:41,840 --> 00:42:45,040 Speaker 3: Halloween weekend, he was out at a bunch of gay 824 00:42:45,040 --> 00:42:48,040 Speaker 3: bars campaigning. I am so mad that I decided to 825 00:42:48,040 --> 00:42:51,000 Speaker 3: say it that Saturday, because of course, it was like 826 00:42:51,040 --> 00:42:52,480 Speaker 3: the first day in a while that I was like, oh, 827 00:42:52,480 --> 00:42:53,280 Speaker 3: I'm really tired. 828 00:42:53,360 --> 00:42:55,520 Speaker 2: I went out two nights and well it was Halloween 829 00:42:55,640 --> 00:42:58,040 Speaker 2: week Like, so I'm gonna arrest I'm gonna. 830 00:42:57,880 --> 00:43:00,160 Speaker 3: Be responsible and then of course Zarn Mam Dannie is 831 00:43:00,200 --> 00:43:02,239 Speaker 3: out at a bunch of bars, like not far from 832 00:43:02,280 --> 00:43:06,040 Speaker 3: where I live. So I was like, cool, it's fine whatever, 833 00:43:07,120 --> 00:43:10,959 Speaker 3: But like it was sort of. 834 00:43:11,200 --> 00:43:11,600 Speaker 1: Like the. 835 00:43:14,000 --> 00:43:16,399 Speaker 3: Yeah, we've gotten a point where I think people are 836 00:43:16,400 --> 00:43:18,600 Speaker 3: willing to or people are able. 837 00:43:19,800 --> 00:43:22,200 Speaker 2: At least some people. Again, we're talking about New York City. 838 00:43:22,200 --> 00:43:24,759 Speaker 3: I don't know how much this is like a nationwide ye, 839 00:43:24,840 --> 00:43:26,840 Speaker 3: but they're like there's more acknowledgment of the fact that 840 00:43:26,840 --> 00:43:29,839 Speaker 3: it's like, you can be a progressive Muslim the same 841 00:43:29,880 --> 00:43:34,120 Speaker 3: way like I my background as I grew up. One 842 00:43:34,160 --> 00:43:35,960 Speaker 3: of my parents is Jewish, one of parents is Catholic. 843 00:43:36,200 --> 00:43:40,759 Speaker 3: I know plenty of people that are progressive Jews, that 844 00:43:40,800 --> 00:43:44,080 Speaker 3: are progressive Christians that like have no problem with gay 845 00:43:44,160 --> 00:43:49,080 Speaker 3: people or going out to the club, or premarital sex 846 00:43:49,200 --> 00:43:54,080 Speaker 3: or whatever kind of abortion, et cetera. Stuff that you know, 847 00:43:54,239 --> 00:43:58,000 Speaker 3: weird culture war stuff. Now I think that there has 848 00:43:58,040 --> 00:43:59,759 Speaker 3: been a little bit more space to be like, yeah, 849 00:43:59,760 --> 00:44:01,879 Speaker 3: there's nothing that makes Islam. 850 00:44:01,640 --> 00:44:03,960 Speaker 2: Really any different in that regard. 851 00:44:04,440 --> 00:44:07,080 Speaker 3: I know plenty of people that are I think, like 852 00:44:07,320 --> 00:44:10,360 Speaker 3: they grew up Muslim, they're failing or they're kind of 853 00:44:10,440 --> 00:44:12,680 Speaker 3: added towards towards Islam or very similar to my attitude 854 00:44:12,680 --> 00:44:14,640 Speaker 3: towards Judaism, where I'm like, it's part of my identity, 855 00:44:14,680 --> 00:44:17,600 Speaker 3: it's part of my upbringing, it's part of my values. 856 00:44:17,640 --> 00:44:19,440 Speaker 2: But like, I'm not particularly religious. 857 00:44:19,480 --> 00:44:23,360 Speaker 3: I'm not gonna like judge people because they don't follow 858 00:44:23,440 --> 00:44:26,200 Speaker 3: all these rules or whatever. I don't follow any all 859 00:44:26,239 --> 00:44:31,319 Speaker 3: of those rules, Like I don't know. I only keep 860 00:44:31,400 --> 00:44:33,319 Speaker 3: kosher when I don't want to eat something, and it 861 00:44:33,360 --> 00:44:34,640 Speaker 3: gives me an easy excuse. 862 00:44:34,920 --> 00:44:35,600 Speaker 9: So UH. 863 00:44:42,880 --> 00:44:43,640 Speaker 2: Got brunch. 864 00:44:43,800 --> 00:44:46,520 Speaker 3: Last time we saw each other in person, I was like, yeah, 865 00:44:46,560 --> 00:44:50,080 Speaker 3: I'm not eating bacon because I don't like pork, and 866 00:44:50,160 --> 00:44:52,280 Speaker 3: I just tell people that I keep kosher or whatever 867 00:44:52,480 --> 00:44:55,640 Speaker 3: I'm asked if I want pork products, even though I 868 00:44:56,120 --> 00:45:03,359 Speaker 3: will eat a cheeseburger without a second thought. But but yeah, anyway, Yeah, 869 00:45:03,480 --> 00:45:05,680 Speaker 3: it was sort of like the To me, this was 870 00:45:05,719 --> 00:45:09,680 Speaker 3: kind of the the like grasping at straws. Yeah, it 871 00:45:09,760 --> 00:45:14,600 Speaker 3: was the accumulation of like the hypocrisy of all this 872 00:45:14,680 --> 00:45:16,960 Speaker 3: where it's like, yeah, you can't really point to the 873 00:45:17,040 --> 00:45:23,200 Speaker 3: dude out at mood Ring at two am and be like, yeah, 874 00:45:23,239 --> 00:45:26,600 Speaker 3: I think this guy uh wants everybody to wear burkas 875 00:45:26,680 --> 00:45:29,400 Speaker 3: and women and men can't look at each other. I 876 00:45:29,440 --> 00:45:31,200 Speaker 3: don't know, like all of the weird fear monk, which 877 00:45:31,239 --> 00:45:33,680 Speaker 3: again is it also exists in every religion. 878 00:45:34,880 --> 00:45:37,600 Speaker 4: But yeah, this is kind of a terrorist nation with 879 00:45:37,680 --> 00:45:41,359 Speaker 4: Christian nationalism, Like several countries have put warnings on this 880 00:45:41,400 --> 00:45:43,000 Speaker 4: country for that, so I can't. 881 00:45:42,760 --> 00:45:49,880 Speaker 6: Say that out loud. Samantha is different, you know, religion. 882 00:45:51,840 --> 00:45:56,960 Speaker 1: Sorry, So listeners, it happened again. Joey and I we 883 00:45:57,040 --> 00:45:58,000 Speaker 1: get to go in. 884 00:45:57,880 --> 00:46:03,440 Speaker 9: Samantha's personally, Oh my goodness, and we just got to 885 00:46:03,480 --> 00:46:08,120 Speaker 9: talking and there's so much to discuss, and so we 886 00:46:08,200 --> 00:46:13,000 Speaker 9: did break this conversation up into two parts again unexpectedly. 887 00:46:14,040 --> 00:46:17,400 Speaker 1: So again you're getting an outro from me and not 888 00:46:17,680 --> 00:46:23,239 Speaker 1: from Joey. But you can find Joey on social media 889 00:46:23,280 --> 00:46:28,319 Speaker 1: platforms at pat not Pratt, and also on shows like 890 00:46:28,600 --> 00:46:32,239 Speaker 1: Afterlives or there are no girls on the Internet with 891 00:46:32,560 --> 00:46:34,319 Speaker 1: friend of the show bridget Time. 892 00:46:34,640 --> 00:46:36,280 Speaker 2: So yes, go check. 893 00:46:36,160 --> 00:46:38,920 Speaker 1: Those things out and be shorted to come back for 894 00:46:39,080 --> 00:46:45,080 Speaker 1: part two because this is a wide ranging conversation. 895 00:46:44,880 --> 00:46:45,920 Speaker 6: Even sex and the city. 896 00:46:45,960 --> 00:46:49,480 Speaker 1: I mean, come on, I was not anticipating that. That 897 00:46:49,800 --> 00:46:53,520 Speaker 1: was honestly a surprise, So yes, come back for that 898 00:46:53,800 --> 00:46:56,440 Speaker 1: and If you would like to email us, you can. 899 00:46:57,040 --> 00:46:59,440 Speaker 1: Our email is hello at Stuffannever Told You dot com. 900 00:46:59,600 --> 00:47:01,800 Speaker 1: You can is on Blue Sky at mol Stuff podcasts, 901 00:47:01,880 --> 00:47:03,920 Speaker 1: or on Instagram and TikTok at stuff We Never Told You. 902 00:47:04,120 --> 00:47:06,399 Speaker 1: We're also on YouTube. We have some new merchandise dot 903 00:47:06,400 --> 00:47:08,040 Speaker 1: com hero and we have a book you can get 904 00:47:08,040 --> 00:47:10,560 Speaker 1: where to get your books. Thanks as always too, our 905 00:47:10,600 --> 00:47:13,520 Speaker 1: super produced Christina, our exective prusin Maya, and a contrictor Joey. 906 00:47:13,560 --> 00:47:15,919 Speaker 2: Thank you he was here for this one. 907 00:47:17,000 --> 00:47:19,239 Speaker 1: And thanks to you for listening Stuff and Every Child 908 00:47:19,239 --> 00:47:20,200 Speaker 1: Inspection by Heart Radio. 909 00:47:20,239 --> 00:47:21,520 Speaker 2: For more podcasts or my Heart Radio. 910 00:47:21,560 --> 00:47:23,520 Speaker 1: You can check out the art radio app, Apple Podcasts, 911 00:47:23,560 --> 00:47:24,879 Speaker 1: or where you listen to your favorite show