1 00:00:00,200 --> 00:00:02,400 Speaker 1: Welcome back to she Pivots. I'm Alana Glazer. 2 00:00:12,800 --> 00:00:16,439 Speaker 2: Welcome to she Pivots, the podcast where we talk with 3 00:00:16,480 --> 00:00:19,720 Speaker 2: women who dared to pivot out of one career and 4 00:00:19,880 --> 00:00:24,160 Speaker 2: into something new and explore how their personal lives impacted 5 00:00:24,160 --> 00:00:31,800 Speaker 2: these decisions. I'm your host, Emily Tish Sussman. Hey, she 6 00:00:31,960 --> 00:00:36,400 Speaker 2: Pivots listeners Today, I'm absolutely thrilled to have the spectacular 7 00:00:36,440 --> 00:00:40,879 Speaker 2: and brilliant Alana Glazer on the show. You know her, 8 00:00:41,200 --> 00:00:43,800 Speaker 2: you love her from Broad City, and you're sure to 9 00:00:43,840 --> 00:00:46,000 Speaker 2: fall in love with her all over again with the 10 00:00:46,040 --> 00:00:49,360 Speaker 2: release of her new movie, Babes. Alana is an actress, 11 00:00:49,440 --> 00:00:53,840 Speaker 2: a writer, a producer, a change maker, and a mom. Today, 12 00:00:53,880 --> 00:00:56,520 Speaker 2: we're talking about her latest film, Babes, and how her 13 00:00:56,560 --> 00:00:59,960 Speaker 2: personal experience shapes the creation, as well as her incredible 14 00:01:00,160 --> 00:01:04,880 Speaker 2: pivot into founding Generator Collective. Alana does what Alana does 15 00:01:05,000 --> 00:01:07,959 Speaker 2: best in her new movie Babes, where she uses her 16 00:01:08,040 --> 00:01:11,640 Speaker 2: sharp wit and intellect to explore the multifaceted lives of 17 00:01:11,680 --> 00:01:15,160 Speaker 2: women and the crazy but beautiful moments of pregnancy and 18 00:01:15,200 --> 00:01:17,640 Speaker 2: the ups and the downs that come with navigating life. 19 00:01:17,800 --> 00:01:18,560 Speaker 3: All of it. 20 00:01:18,560 --> 00:01:21,039 Speaker 2: It's in theaters right now, so grab your friends and 21 00:01:21,080 --> 00:01:24,399 Speaker 2: get your tickets today. But of course Alana's many ventures 22 00:01:24,480 --> 00:01:28,640 Speaker 2: don't stop there. Recognizing the need for real, impactful change, 23 00:01:28,760 --> 00:01:32,319 Speaker 2: she co founded Generator Collective after the twenty sixteen election, 24 00:01:32,760 --> 00:01:35,160 Speaker 2: and as someone who's worked in politics and is now 25 00:01:35,200 --> 00:01:39,120 Speaker 2: working in culture change, I absolutely love what Alana is 26 00:01:39,160 --> 00:01:44,280 Speaker 2: doing over a Generator. She makes politics accessible, engaging, exactly 27 00:01:44,319 --> 00:01:48,240 Speaker 2: what we need in this political climate. From her advocacy 28 00:01:48,280 --> 00:01:51,720 Speaker 2: to comedy to motherhood, Alana has always had the incredible 29 00:01:51,720 --> 00:01:55,919 Speaker 2: ability to bridge her personal experiences with her professional work. 30 00:01:56,360 --> 00:01:59,880 Speaker 2: I mean, her character was literally named Alana on Broad City. 31 00:02:00,520 --> 00:02:03,160 Speaker 2: Excited to share this conversation, let's dive in. 32 00:02:06,480 --> 00:02:10,760 Speaker 1: My name is Alana rose Blazer, and I'm a comedian 33 00:02:11,320 --> 00:02:12,600 Speaker 1: and an activist. 34 00:02:13,120 --> 00:02:14,480 Speaker 2: Did you always know that you wanted to be a 35 00:02:14,480 --> 00:02:16,760 Speaker 2: comedian and actually also an activist? 36 00:02:17,440 --> 00:02:17,760 Speaker 3: Yes? 37 00:02:18,280 --> 00:02:21,120 Speaker 1: The activist part now that kind of like unfolded and 38 00:02:21,200 --> 00:02:24,959 Speaker 1: revealed itself to me. But comedian, yes, in the way 39 00:02:24,960 --> 00:02:27,519 Speaker 1: that I think people start to understand their gender and sexuality. 40 00:02:27,560 --> 00:02:31,600 Speaker 1: Around seven and eight. My identity was becoming organized around 41 00:02:31,639 --> 00:02:34,400 Speaker 1: being a comedian around seven and eight. When when I 42 00:02:34,440 --> 00:02:38,040 Speaker 1: was a kid, it was like Rosie O'Donnell, Whoopie Goldberg, 43 00:02:38,800 --> 00:02:43,800 Speaker 1: Robin Williams, Billy Crystal Musty TV Thursdays. It was like 44 00:02:44,040 --> 00:02:47,679 Speaker 1: that was kind of the vibe those channels were pop in. 45 00:02:47,960 --> 00:02:50,480 Speaker 1: At the time. There was so much TV to watch. 46 00:02:50,520 --> 00:02:54,799 Speaker 1: I used to watch hours and hours of TV every day. 47 00:02:54,840 --> 00:02:57,680 Speaker 1: It was crazy. So my brother also wanted to be 48 00:02:57,680 --> 00:03:02,120 Speaker 1: a comedian, and my dad was awesome enough to be 49 00:03:02,320 --> 00:03:05,960 Speaker 1: chill about letting us use the Sony camcorder. So my 50 00:03:06,040 --> 00:03:09,200 Speaker 1: brother like really put me on when we were kids, 51 00:03:09,320 --> 00:03:13,000 Speaker 1: and he, you know, we would make sketches from when 52 00:03:13,040 --> 00:03:14,400 Speaker 1: I was four and he was eight years old. We 53 00:03:14,400 --> 00:03:18,680 Speaker 1: would make hours and hours and hours of sketch comedy 54 00:03:19,320 --> 00:03:22,440 Speaker 1: and it was based on SNL. We loved SNL and 55 00:03:22,520 --> 00:03:24,880 Speaker 1: we loved SNL before we were like old enough to 56 00:03:24,919 --> 00:03:27,600 Speaker 1: watch and throughout the years and all the generations from 57 00:03:27,639 --> 00:03:31,720 Speaker 1: like Adam Sandler and Chris Farley and David Spade to 58 00:03:32,200 --> 00:03:35,520 Speaker 1: like Tim Meadows and Will Ferrell and Cherio Terry and 59 00:03:35,560 --> 00:03:39,840 Speaker 1: Molly Shannon to Tina and Amy. So we would make 60 00:03:39,880 --> 00:03:43,360 Speaker 1: these videos in our basement for so many hours. So 61 00:03:43,440 --> 00:03:47,040 Speaker 1: my grandpa, my mom's dad, Grandpa Dave David Wexler, he 62 00:03:47,040 --> 00:03:51,520 Speaker 1: would make videos and called it KRIPTV was his like 63 00:03:52,360 --> 00:03:56,080 Speaker 1: Joke Network, and we inherited it from him and took 64 00:03:56,120 --> 00:03:59,680 Speaker 1: on that branding and then we had a rebrand GBS 65 00:04:00,080 --> 00:04:04,240 Speaker 1: Glazer Broadcasting System. Yeah, we were obsessed. We were obsessed. 66 00:04:04,280 --> 00:04:06,960 Speaker 1: And it's so funny at the time, like Elliott would 67 00:04:07,080 --> 00:04:09,640 Speaker 1: edit in real time how you one used to do 68 00:04:09,880 --> 00:04:13,440 Speaker 1: with film cameras where you're like you redo over the 69 00:04:13,520 --> 00:04:17,560 Speaker 1: tape if you don't like that, take like crazy crazy. 70 00:04:18,120 --> 00:04:21,000 Speaker 2: Well, when you started broad City, it was just a 71 00:04:21,279 --> 00:04:23,640 Speaker 2: jump ahead a little bit. Here, wasn't that far off, 72 00:04:23,680 --> 00:04:26,000 Speaker 2: Like you were doing it as a web series exactly, 73 00:04:26,400 --> 00:04:29,640 Speaker 2: just sort of taking it upon yourself to organize some 74 00:04:30,160 --> 00:04:35,680 Speaker 2: ideas and have the gumption to film it and like 75 00:04:35,880 --> 00:04:37,960 Speaker 2: spend resources on it, you know what I mean. Like 76 00:04:38,080 --> 00:04:41,080 Speaker 2: when Abby Jacobson and I were making Broad City, we 77 00:04:41,080 --> 00:04:44,840 Speaker 2: were catering and waiters and nanny ing, and she worked 78 00:04:44,880 --> 00:04:47,160 Speaker 2: at a bakery and then we worked together at a 79 00:04:47,400 --> 00:04:52,440 Speaker 2: as sales people at a company that later my character's 80 00:04:52,680 --> 00:04:56,279 Speaker 2: Alana Weser's job deal Steel Steels, was based on. And 81 00:04:56,320 --> 00:04:59,080 Speaker 2: we were just like spending all our money on this 82 00:04:59,120 --> 00:05:01,240 Speaker 2: web series and it was like are we crazy? 83 00:05:01,520 --> 00:05:05,280 Speaker 1: You know? But even if like all the actualization that 84 00:05:05,360 --> 00:05:07,520 Speaker 1: came to be of broad City. Hadn't happened, it would 85 00:05:07,520 --> 00:05:10,120 Speaker 1: have been worth it to do that because we learned 86 00:05:10,800 --> 00:05:14,400 Speaker 1: so much about like gathering people to make a project. 87 00:05:14,640 --> 00:05:17,599 Speaker 1: You know, it's really hard to sort of fight entropy 88 00:05:17,760 --> 00:05:21,159 Speaker 1: in that way and sort of will something to happen. 89 00:05:21,680 --> 00:05:23,880 Speaker 1: We did it thirty five times. Actually, we had thirty 90 00:05:23,920 --> 00:05:25,760 Speaker 1: five short films by the end of the two years 91 00:05:25,760 --> 00:05:28,240 Speaker 1: that we made broad City the web series, And I 92 00:05:28,279 --> 00:05:33,400 Speaker 1: think that obsession, that obsessiveness of making thirty five short 93 00:05:33,440 --> 00:05:37,440 Speaker 1: films in two years was what proved our command over 94 00:05:37,480 --> 00:05:40,000 Speaker 1: the world, Like you can't recast that shit, you know. 95 00:05:40,720 --> 00:05:43,719 Speaker 1: And the first webisode we put out it was called 96 00:05:43,800 --> 00:05:55,800 Speaker 1: making Change. 97 00:05:53,400 --> 00:05:53,799 Speaker 4: Dollars. 98 00:05:53,880 --> 00:05:57,480 Speaker 2: Oh, I don't have any cashman side wonderful? Kay I? 99 00:05:57,560 --> 00:06:00,760 Speaker 1: Actually I have a ten if you could give me 100 00:06:00,800 --> 00:06:06,479 Speaker 1: eight back or we're good. Yeah, that's perfect. Thank you 101 00:06:06,520 --> 00:06:10,919 Speaker 1: so much. Yes, have a good day. Okay. And this 102 00:06:11,080 --> 00:06:11,840 Speaker 1: is for the bagel. 103 00:06:11,880 --> 00:06:12,720 Speaker 2: Thank you a lot. 104 00:06:12,920 --> 00:06:13,920 Speaker 5: What the you doing? 105 00:06:13,960 --> 00:06:16,480 Speaker 1: You make casture the holes for I just said thank 106 00:06:16,520 --> 00:06:20,080 Speaker 1: you for the bagel. And right after that, Paul w 107 00:06:20,200 --> 00:06:22,920 Speaker 1: Down's and Luccia on Yellow, the two of the three 108 00:06:22,960 --> 00:06:26,560 Speaker 1: creators of Hacks, the third being Jenstatski wrote us and 109 00:06:26,560 --> 00:06:28,680 Speaker 1: they were like, this is something, this is good, and 110 00:06:28,720 --> 00:06:30,880 Speaker 1: they told us. I'm now remembering they told us about 111 00:06:30,920 --> 00:06:33,680 Speaker 1: Ali Shakat and Elliott Page at the time had this 112 00:06:34,279 --> 00:06:38,240 Speaker 1: project at HBO, and Luccia was like, you should try 113 00:06:38,279 --> 00:06:40,720 Speaker 1: to like send this over to that team so they 114 00:06:40,760 --> 00:06:43,200 Speaker 1: can see and if it goes, you could be writers 115 00:06:43,200 --> 00:06:45,120 Speaker 1: on it. That was like what we That was what 116 00:06:45,160 --> 00:06:47,560 Speaker 1: we were hoping for, to get a writing job as 117 00:06:47,560 --> 00:06:51,760 Speaker 1: a duo, you know, like really couldn't have I don't 118 00:06:51,960 --> 00:06:55,120 Speaker 1: like maybe maybe yes, could have dreamed. But like it's 119 00:06:55,440 --> 00:06:57,680 Speaker 1: years later, it's like fifteen years later, and I still 120 00:06:57,720 --> 00:07:00,640 Speaker 1: kind of am processing that the miracle happened and what 121 00:07:00,720 --> 00:07:02,640 Speaker 1: we started the web series. I was twenty two. We 122 00:07:02,720 --> 00:07:05,160 Speaker 1: ended the TV shows thirty two, and that was five 123 00:07:05,240 --> 00:07:08,560 Speaker 1: years ago, so like fifteen years later, I'm like, damn, damn. 124 00:07:08,800 --> 00:07:11,720 Speaker 1: You know, it's like it's still kind of shocking. But 125 00:07:11,760 --> 00:07:15,040 Speaker 1: we learned everything. We learned how to line, produce, show 126 00:07:15,160 --> 00:07:19,320 Speaker 1: run right, direct, and act. And in that process of 127 00:07:19,360 --> 00:07:21,480 Speaker 1: finding it, Amy Poehler had found you guys. 128 00:07:21,760 --> 00:07:26,200 Speaker 2: I mean, given the fact that you had started imitating 129 00:07:26,280 --> 00:07:30,200 Speaker 2: these incredible years of SNL right with Amy, I mean 130 00:07:30,600 --> 00:07:33,040 Speaker 2: could you even believe it? Like, what was the first 131 00:07:33,080 --> 00:07:35,880 Speaker 2: interaction in did you fall over? Oh my gosh, I 132 00:07:35,880 --> 00:07:38,640 Speaker 2: have like chills thinking about it's so crazy. 133 00:07:38,720 --> 00:07:40,640 Speaker 1: Oh my gosh. And she just texted us actually this 134 00:07:40,720 --> 00:07:43,720 Speaker 1: like oral history of Broad City. It's like such the 135 00:07:44,000 --> 00:07:46,480 Speaker 1: characters are almost like our little babies, you know, all 136 00:07:46,520 --> 00:07:48,800 Speaker 1: of us at this point where we're like, oh, you know, 137 00:07:49,000 --> 00:07:52,200 Speaker 1: like the characters and also young Abby and me not 138 00:07:52,400 --> 00:07:55,880 Speaker 1: even knowing what was ahead. You know, it's so so wild. 139 00:07:56,960 --> 00:08:00,960 Speaker 1: Amy was one of four people who started the Upright 140 00:08:01,000 --> 00:08:06,880 Speaker 1: Citizens Brigade Theater. She and the UCB Improve and Sketch 141 00:08:06,920 --> 00:08:09,760 Speaker 1: Group came from Chicago, planted themselves in New York and 142 00:08:09,840 --> 00:08:13,360 Speaker 1: built this theater which became This is when like comedy 143 00:08:13,440 --> 00:08:16,200 Speaker 1: used to be like real binary. You were either like 144 00:08:16,280 --> 00:08:18,960 Speaker 1: Jim Carrier Robin Williams, or you were a stand up 145 00:08:19,080 --> 00:08:21,840 Speaker 1: you know in clubs, or you were on SNL. And 146 00:08:21,960 --> 00:08:25,240 Speaker 1: then like there became this like alt comedy scene and 147 00:08:25,640 --> 00:08:29,280 Speaker 1: uh kind of kind of intersecting with like mumblecore, where 148 00:08:29,320 --> 00:08:32,040 Speaker 1: like weirdness was allowed to kind of come up. And 149 00:08:32,880 --> 00:08:35,200 Speaker 1: that's when like UCB was kind of getting into the 150 00:08:35,440 --> 00:08:38,840 Speaker 1: planting its seeds in the New York comedy scene and 151 00:08:38,840 --> 00:08:43,120 Speaker 1: making this like sort of third space, this third weirder space. 152 00:08:43,880 --> 00:08:45,680 Speaker 1: And my brother was going to NYU and I was 153 00:08:45,679 --> 00:08:47,120 Speaker 1: still in high school, and he was like telling me 154 00:08:47,120 --> 00:08:50,800 Speaker 1: about this scene emerging, and we like planned to get 155 00:08:50,800 --> 00:08:53,880 Speaker 1: into it when I got to the city. So Amy 156 00:08:54,040 --> 00:08:58,080 Speaker 1: was one of the founders of UCB, and my brother 157 00:08:58,120 --> 00:09:00,400 Speaker 1: and I and Abby at the same time time had 158 00:09:00,400 --> 00:09:03,920 Speaker 1: been taking classes there. And I think it was almost 159 00:09:04,000 --> 00:09:07,640 Speaker 1: like we prepared for the opportunity to meet her because 160 00:09:07,720 --> 00:09:10,520 Speaker 1: we asked her to be in our thirty fifth webisode, 161 00:09:10,679 --> 00:09:13,200 Speaker 1: this the finale, and so then we have this like 162 00:09:13,280 --> 00:09:16,440 Speaker 1: huge portfolio of work that she could look at, and 163 00:09:17,120 --> 00:09:18,720 Speaker 1: we didn't ask her to be a part of it. 164 00:09:18,760 --> 00:09:21,160 Speaker 1: We asked her to you know, feature in it. It 165 00:09:21,240 --> 00:09:23,760 Speaker 1: was a cold ask, and we were like a generation 166 00:09:23,960 --> 00:09:27,559 Speaker 1: a part where our teachers had been her students. Before 167 00:09:27,559 --> 00:09:31,280 Speaker 1: she got on SNL, way before Parks, she was teaching improv. 168 00:09:31,440 --> 00:09:34,560 Speaker 1: This was like funny, like funny enough, I think years ago, 169 00:09:34,679 --> 00:09:37,600 Speaker 1: like in her I don't know whatever press periods, she 170 00:09:37,679 --> 00:09:39,439 Speaker 1: was always like I could always fall back on teaching 171 00:09:39,440 --> 00:09:42,640 Speaker 1: improv again always, you know, can you imagine taking improv 172 00:09:42,679 --> 00:09:46,000 Speaker 1: from Amy Poehler like that is magic and then also 173 00:09:46,400 --> 00:09:48,960 Speaker 1: also funny because like, sure, I can idealize her, but 174 00:09:49,200 --> 00:09:52,480 Speaker 1: she was probably a human being and complex and tired 175 00:09:52,520 --> 00:09:54,360 Speaker 1: at some points or annoyed at some points, Like that 176 00:09:54,480 --> 00:09:58,319 Speaker 1: is just so funny to imagine. So our improv teacher, 177 00:09:58,679 --> 00:10:00,839 Speaker 1: like the head of UC at the time, had been 178 00:10:00,840 --> 00:10:05,040 Speaker 1: her student, and we were like, would you ever consider 179 00:10:05,280 --> 00:10:08,360 Speaker 1: forwarding an email to her? You know, like we didn't 180 00:10:08,360 --> 00:10:10,439 Speaker 1: even like ask very directly, but he was like, yeah, 181 00:10:10,520 --> 00:10:12,160 Speaker 1: she's gonna love this. And then it turned out she 182 00:10:12,240 --> 00:10:15,120 Speaker 1: had heard about us already. And then the ass was 183 00:10:15,120 --> 00:10:19,400 Speaker 1: so I think finite and specific and you could grasp 184 00:10:19,440 --> 00:10:23,280 Speaker 1: it right. It's a one scene featuring in one scene, 185 00:10:23,640 --> 00:10:26,840 Speaker 1: and we'll shoot it wherever, wherever the hell you want. 186 00:10:27,240 --> 00:10:29,080 Speaker 1: So she chose around the corner from her house. She 187 00:10:29,160 --> 00:10:32,280 Speaker 1: has two boys under four years old. At this point, 188 00:10:32,360 --> 00:10:36,760 Speaker 1: she and her baby and her youngest her nanny, walked 189 00:10:36,760 --> 00:10:39,200 Speaker 1: around the corner from her apartment. We were already set up, 190 00:10:39,240 --> 00:10:40,880 Speaker 1: ready to go, and we got her out in an hour. 191 00:10:41,120 --> 00:10:45,120 Speaker 1: My parents drove from Long Island and we filmed out 192 00:10:45,200 --> 00:10:48,440 Speaker 1: the back of their car. The director and DP of 193 00:10:48,440 --> 00:10:51,600 Speaker 1: that episode shooting a camera out the trunk of the 194 00:10:51,640 --> 00:10:55,920 Speaker 1: prius and Amy and us were running down Cherry Lane. 195 00:10:55,960 --> 00:11:02,080 Speaker 1: I mean, just crazy without me, save yourself. 196 00:11:02,240 --> 00:11:04,760 Speaker 3: You just leave her one set in my bag a lot. 197 00:11:09,360 --> 00:11:11,960 Speaker 1: I mean, I'm telling you, it's like still, I'm just like, damn, 198 00:11:12,080 --> 00:11:14,199 Speaker 1: was that a dream? You know, Like I'm so oh 199 00:11:14,240 --> 00:11:17,600 Speaker 1: my gosh, so grateful for these memories in my mind 200 00:11:17,679 --> 00:11:19,840 Speaker 1: and body. So we had a good time, Like we 201 00:11:19,880 --> 00:11:23,120 Speaker 1: had a We got along very well and like lightly 202 00:11:23,240 --> 00:11:26,640 Speaker 1: touched on expanding and we were like already planning to 203 00:11:26,679 --> 00:11:30,080 Speaker 1: pitch it and writing a pilot to uh to pitch 204 00:11:30,160 --> 00:11:32,480 Speaker 1: and go to LA for a couple months and try 205 00:11:32,520 --> 00:11:35,560 Speaker 1: to sell it. And I feel like Jonah Hill was 206 00:11:35,600 --> 00:11:38,000 Speaker 1: like also looking at the web series and we were 207 00:11:38,040 --> 00:11:41,280 Speaker 1: like yeah, Like Jonah Hill is like you know, asked 208 00:11:41,320 --> 00:11:46,400 Speaker 1: about it, just like yeah, yeah, and she was like okay, 209 00:11:46,640 --> 00:11:50,040 Speaker 1: all right. But then afterwards we like sent her the 210 00:11:50,400 --> 00:11:53,680 Speaker 1: episode and we had created these parties around a season 211 00:11:53,679 --> 00:11:55,920 Speaker 1: one and a season two, so we had this event 212 00:11:55,960 --> 00:11:58,600 Speaker 1: around the season two and people were like dying that 213 00:11:58,640 --> 00:12:00,920 Speaker 1: she was on screen when we showed it, and then 214 00:12:00,960 --> 00:12:04,240 Speaker 1: we formally asked her if she would want to attach 215 00:12:04,240 --> 00:12:06,440 Speaker 1: as executive producer and she did and we were planning 216 00:12:06,440 --> 00:12:08,120 Speaker 1: already to go to La and pitch it, but this 217 00:12:08,240 --> 00:12:12,080 Speaker 1: time we were bringing Amy with us and it was phenomenal. 218 00:12:12,480 --> 00:12:15,360 Speaker 1: We met her after that, after she agreed to be 219 00:12:15,400 --> 00:12:17,120 Speaker 1: a part of it, and we had a pitch in 220 00:12:17,160 --> 00:12:20,280 Speaker 1: a script, but we really needed her scope and her purview. 221 00:12:20,800 --> 00:12:23,079 Speaker 1: We met up for lunch and she had like a 222 00:12:23,160 --> 00:12:27,079 Speaker 1: legal pad with notes about what she loved about thirty 223 00:12:27,559 --> 00:12:32,280 Speaker 1: four of the webisodes and that I was like floating 224 00:12:32,320 --> 00:12:33,520 Speaker 1: out of my body. 225 00:12:34,640 --> 00:12:35,600 Speaker 3: Before they knew it. 226 00:12:35,720 --> 00:12:38,920 Speaker 2: Broad City was picked up and greenlit by Comedy Central, 227 00:12:39,160 --> 00:12:40,800 Speaker 2: and it quickly had a cult following. 228 00:12:41,360 --> 00:12:42,920 Speaker 3: Throughout its five season run. 229 00:12:43,040 --> 00:12:46,120 Speaker 2: The show received critical acclaim and has been ranked among 230 00:12:46,200 --> 00:12:49,760 Speaker 2: the best television shows of the twenty tens. Night They 231 00:12:49,800 --> 00:12:53,480 Speaker 2: are the creators, writers, and stars of Comedy Central's Great 232 00:12:53,480 --> 00:12:54,000 Speaker 2: broad City. 233 00:12:54,040 --> 00:12:54,600 Speaker 6: Plea was welcome. 234 00:12:54,600 --> 00:12:56,680 Speaker 3: Ho me tell you're sending a lot of geyser. Come on, 235 00:13:00,040 --> 00:13:00,840 Speaker 3: I've not seen the show. 236 00:13:00,880 --> 00:13:01,680 Speaker 4: It is very funny. 237 00:13:01,679 --> 00:13:03,080 Speaker 2: I probably it's called broad City. 238 00:13:03,080 --> 00:13:06,120 Speaker 1: You can watch it Wednesday night, ten thirty on Comedy Central. 239 00:13:06,280 --> 00:13:07,760 Speaker 3: That's Abby and Alana everybody. 240 00:13:08,800 --> 00:13:10,520 Speaker 2: But I feel like there's so many pieces in there 241 00:13:10,640 --> 00:13:14,880 Speaker 2: that are applicable for people in any industry in any phase, 242 00:13:14,960 --> 00:13:17,640 Speaker 2: Like you know, you guys were scrappy and putting it 243 00:13:17,640 --> 00:13:20,200 Speaker 2: together and you willed it and you put the work 244 00:13:20,240 --> 00:13:23,880 Speaker 2: in and you put it together and there's this dream 245 00:13:24,480 --> 00:13:28,320 Speaker 2: icon Amy Poehler, and you found a way not just 246 00:13:28,400 --> 00:13:31,240 Speaker 2: to get to her, but also to make it workable 247 00:13:31,280 --> 00:13:31,600 Speaker 2: for her. 248 00:13:32,160 --> 00:13:35,240 Speaker 1: Yeah, and like there's this like the scrappiness is something 249 00:13:35,240 --> 00:13:38,760 Speaker 1: that I'm still accepting about myself. And I have to say, 250 00:13:38,800 --> 00:13:41,640 Speaker 1: like it's kind of entire like a sense of entitlement, 251 00:13:41,720 --> 00:13:45,880 Speaker 1: Like shouldn't it be more like streamlined or sleek the process? 252 00:13:45,960 --> 00:13:50,080 Speaker 1: Like even this movie Babes Babes was as scrappy as 253 00:13:50,480 --> 00:13:55,440 Speaker 1: making broad City, the web series like crazy. And Pamela 254 00:13:55,559 --> 00:13:58,000 Speaker 1: Adlon is so scrappy too, And Michelle Buto has been 255 00:13:58,040 --> 00:14:00,880 Speaker 1: doing comedy for twenty three years. I mean we just 256 00:14:00,880 --> 00:14:03,960 Speaker 1: did Hoda and Jenna the other morning and it was 257 00:14:04,000 --> 00:14:06,720 Speaker 1: like a trivia question she used to do, like stand 258 00:14:06,800 --> 00:14:09,040 Speaker 1: up in a strip club and her payment was like 259 00:14:09,080 --> 00:14:12,920 Speaker 1: hot food, you know, like we have just And Pamela 260 00:14:13,040 --> 00:14:15,960 Speaker 1: is the scrappiest, Like the texture of her voice is 261 00:14:16,000 --> 00:14:17,800 Speaker 1: her character, you know what I mean, Like she's down 262 00:14:17,880 --> 00:14:20,040 Speaker 1: to get down and dirty, and like you know when 263 00:14:20,080 --> 00:14:21,760 Speaker 1: we were making Babes. I was like, damn, like I 264 00:14:21,800 --> 00:14:24,320 Speaker 1: wish this was. It was an indie movie, it was 265 00:14:24,360 --> 00:14:27,320 Speaker 1: a small budget. We made it like hardcore. And Jeff 266 00:14:27,360 --> 00:14:31,480 Speaker 1: Kimmer cinematographer, an elegant man, a man of beauty, like 267 00:14:31,640 --> 00:14:35,160 Speaker 1: made this movie look like it cost twenty five million dollars, 268 00:14:35,240 --> 00:14:37,400 Speaker 1: thirty million dollars. It looks like a nor Efron movie, 269 00:14:37,480 --> 00:14:40,920 Speaker 1: or a or a Rob Reiner or a jud movie. 270 00:14:41,120 --> 00:14:44,600 Speaker 1: But like it was so scrappy and it was seven 271 00:14:44,640 --> 00:14:47,760 Speaker 1: million dollars. It was a scrappy indie movie that especially 272 00:14:47,800 --> 00:14:51,320 Speaker 1: in New York City. Your dollar doesn't go afoot in 273 00:14:51,320 --> 00:14:54,360 Speaker 1: New York City. And I don't know talking about this 274 00:14:54,400 --> 00:14:57,240 Speaker 1: today and like remembering how that was actually the sort 275 00:14:57,280 --> 00:15:00,080 Speaker 1: of like I'm thinking of guitar string, like the vibration 276 00:15:00,240 --> 00:15:02,840 Speaker 1: on which we were meeting Amy, It's like that's who 277 00:15:02,880 --> 00:15:03,960 Speaker 1: I am. 278 00:15:04,120 --> 00:15:06,920 Speaker 2: As I do these interviews, it's always so interesting to 279 00:15:07,000 --> 00:15:10,400 Speaker 2: live in both the past and the present with each guest, 280 00:15:10,840 --> 00:15:14,120 Speaker 2: to listen to them as they discover their connections between 281 00:15:14,120 --> 00:15:16,600 Speaker 2: what they did pre pivot and how it brought them 282 00:15:16,640 --> 00:15:20,960 Speaker 2: to this moment. After the advertisements, Alana talks about her present, 283 00:15:21,440 --> 00:15:24,880 Speaker 2: her latest project, Babes, which lives in that same guitar 284 00:15:24,960 --> 00:15:27,720 Speaker 2: string she spoke about in Doing What She Does Best. 285 00:15:27,760 --> 00:15:31,600 Speaker 2: Alana and her co writer Joshua Binowitz ridge the complexities 286 00:15:31,640 --> 00:15:35,680 Speaker 2: of friendship, pregnancy, and parenting, all while being hilarious and 287 00:15:35,840 --> 00:15:39,240 Speaker 2: deeply honest. It's a movie that showcases the wit and 288 00:15:39,320 --> 00:15:42,520 Speaker 2: intelligence we all know and love for Milana more after 289 00:15:42,560 --> 00:15:50,240 Speaker 2: the break. Okay, So I want to hear about Babes 290 00:15:50,800 --> 00:15:53,160 Speaker 2: as a parent and specifically as a mom of three. 291 00:15:53,240 --> 00:15:55,480 Speaker 2: I was so excited when I heard about this film. 292 00:15:56,000 --> 00:15:58,600 Speaker 1: Babes is the story of two best friends who are 293 00:15:58,640 --> 00:16:02,760 Speaker 1: in very different places their lives. Don played by Michelle Buteaux, 294 00:16:02,800 --> 00:16:05,160 Speaker 1: has two kids and a husband, sort of a standard situation, 295 00:16:05,200 --> 00:16:09,160 Speaker 1: and my character Eden is a free spirit and spontaneous 296 00:16:09,360 --> 00:16:14,080 Speaker 1: and naive, completely clueless to the responsibilities that it takes 297 00:16:14,080 --> 00:16:17,560 Speaker 1: to have a child. And when she gets pregnant by 298 00:16:17,640 --> 00:16:20,760 Speaker 1: a one night stand, she decides to keep the baby 299 00:16:20,840 --> 00:16:24,040 Speaker 1: and it tests the friendship of Eden and Down played 300 00:16:24,040 --> 00:16:26,440 Speaker 1: by me and Michelle Buteau, this movie is I gotta 301 00:16:26,440 --> 00:16:27,480 Speaker 1: tell you, gotta be honest. 302 00:16:27,520 --> 00:16:28,200 Speaker 3: It's hilarious. 303 00:16:28,360 --> 00:16:31,080 Speaker 1: It's so funny you're missing jokes in the theater it's 304 00:16:31,120 --> 00:16:34,360 Speaker 1: worth seeing in the theater to laugh with your damn neighbor, 305 00:16:34,840 --> 00:16:37,920 Speaker 1: and then the cries sneak up on you. People keep 306 00:16:37,920 --> 00:16:39,920 Speaker 1: telling me I did not know I was gonna be 307 00:16:40,080 --> 00:16:43,200 Speaker 1: crying three times, and I'm loving it. I'm starting to 308 00:16:43,200 --> 00:16:44,720 Speaker 1: get addicted to those tears. 309 00:16:45,400 --> 00:16:47,440 Speaker 4: Crying my eyes out. I just got out of the 310 00:16:47,480 --> 00:16:50,880 Speaker 4: New Babes movie. It was like a release premiere thing, 311 00:16:51,000 --> 00:16:53,200 Speaker 4: and they did like a Q and A in the beginning. Anyway, 312 00:16:53,600 --> 00:16:57,720 Speaker 4: Alana Glazer and Michelle Buteau. I love this movie so much. 313 00:16:57,960 --> 00:17:03,560 Speaker 4: It really touches on like how friendships change after one 314 00:17:03,640 --> 00:17:06,840 Speaker 4: or the other have a baby in the most beautiful 315 00:17:06,880 --> 00:17:10,840 Speaker 4: way possible. Bitch. All I can say is, go watch 316 00:17:10,880 --> 00:17:15,600 Speaker 4: it now, bitch, go watch it. Really. 317 00:17:16,080 --> 00:17:22,840 Speaker 1: Am I pregnant? Yeah, single mom? She may not keep the. 318 00:17:22,880 --> 00:17:27,920 Speaker 2: Baby in choice right right? Single that's friend gets so 319 00:17:28,080 --> 00:17:29,800 Speaker 2: screwed over in adulthood. 320 00:17:29,840 --> 00:17:34,160 Speaker 1: You and me, we're family. I'm scared of the decision 321 00:17:34,280 --> 00:17:36,639 Speaker 1: I made, but it just feels like destiny, and this 322 00:17:36,760 --> 00:17:38,360 Speaker 1: is Destiny's in file. 323 00:17:40,040 --> 00:17:40,679 Speaker 2: The baby. 324 00:17:42,000 --> 00:17:47,320 Speaker 1: So I am taking more pleasure in this press period 325 00:17:48,040 --> 00:17:51,680 Speaker 1: for my new movie Babes that I have in press 326 00:17:51,720 --> 00:17:55,160 Speaker 1: periods prior. I'm taking more genuine pleasure, enjoying it more 327 00:17:55,640 --> 00:17:56,720 Speaker 1: than I have before. 328 00:17:57,440 --> 00:17:59,760 Speaker 6: West twenty twenty four. I am beyond thrilled to be 329 00:17:59,800 --> 00:18:03,640 Speaker 6: here with the team behind Babes. Your movie was wonderful. 330 00:18:03,840 --> 00:18:08,359 Speaker 6: I love so much about it, in particular your chemistry together, 331 00:18:08,480 --> 00:18:11,199 Speaker 6: your friendship. It just like radiates off the screen and 332 00:18:11,240 --> 00:18:12,040 Speaker 6: it filled my heart. 333 00:18:12,240 --> 00:18:17,600 Speaker 2: Oh boy, this movie is so good. 334 00:18:18,000 --> 00:18:18,320 Speaker 5: Thank you. 335 00:18:18,560 --> 00:18:20,840 Speaker 6: And it's so funny, and you're so good in it, 336 00:18:20,880 --> 00:18:22,520 Speaker 6: and I'm just I'm thrilled to death for it. 337 00:18:23,040 --> 00:18:25,360 Speaker 1: Thank you. Yeah, it's are you? Are you excited? 338 00:18:25,400 --> 00:18:25,840 Speaker 4: Boy? 339 00:18:26,640 --> 00:18:28,920 Speaker 1: It's coming out? When is it coming out? It's coming 340 00:18:28,920 --> 00:18:33,800 Speaker 1: out in select cities May seventeenth, and expands and expands 341 00:18:33,880 --> 00:18:35,080 Speaker 1: the twenty fourth. 342 00:18:35,080 --> 00:18:36,600 Speaker 4: Did you yourself? Personally? 343 00:18:36,560 --> 00:18:41,480 Speaker 5: Everybody is DJ Envy, Jess, Hilarious, Charlamage, the guy. 344 00:18:41,520 --> 00:18:43,640 Speaker 3: We are the breakfast club. We got some special guest 345 00:18:43,680 --> 00:18:45,080 Speaker 3: in the building who keep a job. 346 00:18:45,119 --> 00:18:50,199 Speaker 1: Both from the new film day. Also, press is like 347 00:18:50,240 --> 00:18:51,840 Speaker 1: such an insane part of the job. 348 00:18:51,840 --> 00:18:54,360 Speaker 3: But to do it with Michelle we have been just left. 349 00:18:54,800 --> 00:18:55,360 Speaker 1: Its sloopy. 350 00:18:56,320 --> 00:18:58,480 Speaker 2: I don't I haven't figured out my dosage yet, but 351 00:18:58,560 --> 00:18:59,159 Speaker 2: I don't need it. 352 00:18:59,240 --> 00:19:02,359 Speaker 1: Just do press, you know what I mean? So Babes 353 00:19:02,480 --> 00:19:03,159 Speaker 1: is interesting. 354 00:19:03,440 --> 00:19:08,199 Speaker 2: I feel like this through line between Broad City with 355 00:19:08,400 --> 00:19:10,760 Speaker 2: a number of pieces that you did in between and 356 00:19:10,800 --> 00:19:13,000 Speaker 2: then coming now to Babes. Like the reason that I 357 00:19:13,080 --> 00:19:15,960 Speaker 2: do this podcast is to kind of show like the 358 00:19:16,000 --> 00:19:19,600 Speaker 2: intersection of personal and professional when we have this narrative 359 00:19:19,640 --> 00:19:23,280 Speaker 2: that everything professional we do is just for professional factors, 360 00:19:23,320 --> 00:19:25,440 Speaker 2: like that's a good job, it's a good movie, like's 361 00:19:25,600 --> 00:19:27,600 Speaker 2: I made that decision, And then we also try to 362 00:19:27,600 --> 00:19:31,080 Speaker 2: cover up things when we make them for personal reasons, 363 00:19:31,080 --> 00:19:32,840 Speaker 2: so like if you leave the workforce to like have 364 00:19:32,880 --> 00:19:34,720 Speaker 2: a kid or take care of a sick parent or 365 00:19:34,800 --> 00:19:38,280 Speaker 2: move or something, we like come up with these ridiculous 366 00:19:38,320 --> 00:19:40,679 Speaker 2: reasons why we did instead of just saying why we 367 00:19:40,760 --> 00:19:43,199 Speaker 2: made these choices, Like how have you thought about this 368 00:19:43,280 --> 00:19:45,000 Speaker 2: intersection of personal and professional? 369 00:19:45,600 --> 00:19:48,600 Speaker 1: I feel like there's this conversation ten years ago of 370 00:19:48,640 --> 00:19:53,200 Speaker 1: like women compartmentalizing, and it like feels so like harsh 371 00:19:53,240 --> 00:19:57,560 Speaker 1: and untrue and binary to me of kind of what 372 00:19:57,720 --> 00:20:00,800 Speaker 1: you're saying of like separating these pieces and keeping them distant. 373 00:20:01,440 --> 00:20:04,760 Speaker 1: It has been hard to sift through and organize and 374 00:20:04,840 --> 00:20:09,159 Speaker 1: understand and hold all of it because Abby's name is 375 00:20:09,200 --> 00:20:11,520 Speaker 1: Abby and my name is Alana and that was our 376 00:20:11,600 --> 00:20:15,440 Speaker 1: character's names. And I chose Wexler and that's my mom's 377 00:20:15,480 --> 00:20:18,679 Speaker 1: maiden name. And Abbie chose Abrams for her character's last name, 378 00:20:18,680 --> 00:20:21,320 Speaker 1: and that's her grandma's made a name. I think a 379 00:20:21,359 --> 00:20:24,639 Speaker 1: big something that's been that feels very different for me 380 00:20:24,720 --> 00:20:27,399 Speaker 1: in a personal sense is that broad City was like 381 00:20:27,480 --> 00:20:30,800 Speaker 1: this character that I wished I could be. She was 382 00:20:30,880 --> 00:20:34,920 Speaker 1: so free and she was so wild, you know. And 383 00:20:35,440 --> 00:20:38,440 Speaker 1: I think, especially once Broad City became a thing, even 384 00:20:38,440 --> 00:20:41,080 Speaker 1: a web series that people knew, but especially on TV, 385 00:20:41,720 --> 00:20:46,199 Speaker 1: like a sort of painful self awareness kicked in where 386 00:20:46,440 --> 00:20:49,320 Speaker 1: I was not as free as the character was. And 387 00:20:49,720 --> 00:20:52,720 Speaker 1: with Babes it's been it's been so you know, broad City. 388 00:20:52,760 --> 00:20:56,040 Speaker 1: I learned absolutely everything I've learned. I learned everything I 389 00:20:56,080 --> 00:20:59,960 Speaker 1: know about this business from Broad City. We made fifty episodes, 390 00:21:00,200 --> 00:21:05,080 Speaker 1: and ending broad City choicefully was like also kind of 391 00:21:05,119 --> 00:21:07,920 Speaker 1: a miracle, you know, creatively, I think as artists it's 392 00:21:08,200 --> 00:21:12,119 Speaker 1: a rare opportunity to be able to choose an ending. 393 00:21:12,920 --> 00:21:15,600 Speaker 1: And with Babes, I mean, just the pleasure I took 394 00:21:15,640 --> 00:21:18,280 Speaker 1: in the process, having gone through all the training in 395 00:21:18,280 --> 00:21:20,520 Speaker 1: the boot camp of broad City, it was like it 396 00:21:20,560 --> 00:21:22,800 Speaker 1: was so fun I felt like I was returning to 397 00:21:23,280 --> 00:21:27,200 Speaker 1: camp actually, and it was really fun. And I think 398 00:21:27,680 --> 00:21:31,280 Speaker 1: my character of Eden and Babes like I'm pushing less 399 00:21:31,320 --> 00:21:35,600 Speaker 1: and more just like being being her more rather than 400 00:21:35,640 --> 00:21:39,639 Speaker 1: like conjuring and adding and jumping and leaping. You know, 401 00:21:39,920 --> 00:21:42,240 Speaker 1: it was I think I had a sense of being 402 00:21:42,359 --> 00:21:47,000 Speaker 1: enough much more during Babes than in Broad City. And 403 00:21:47,040 --> 00:21:50,520 Speaker 1: now my daughter's three, having a real kiddo, not just 404 00:21:50,560 --> 00:21:54,879 Speaker 1: like a new born baby, I feel so rooted, and 405 00:21:54,960 --> 00:21:57,560 Speaker 1: I feel like in the same way that I continue 406 00:21:57,600 --> 00:22:01,119 Speaker 1: to discover things about my kN and she keeps unfolding 407 00:22:01,240 --> 00:22:03,000 Speaker 1: and uncovering herself to me. 408 00:22:03,080 --> 00:22:04,520 Speaker 2: I find the same thing with the movie. 409 00:22:04,880 --> 00:22:07,200 Speaker 1: It's meaning. You know, we made the movie, we fucking 410 00:22:07,240 --> 00:22:11,240 Speaker 1: did it, But then it's layers of meaning keep uncovering 411 00:22:11,240 --> 00:22:12,800 Speaker 1: themselves to me, and it's magical. 412 00:22:13,560 --> 00:22:16,439 Speaker 2: Well, this is a really interesting point about like the 413 00:22:16,520 --> 00:22:19,239 Speaker 2: personal and professional that you did get to end it 414 00:22:19,280 --> 00:22:22,760 Speaker 2: on your own terms. Was it because there were personal 415 00:22:22,800 --> 00:22:25,120 Speaker 2: factors at play like that you were just done? I mean, 416 00:22:25,119 --> 00:22:27,800 Speaker 2: as you're talking about them, thinking, oh my god, I cannot. 417 00:22:27,920 --> 00:22:30,240 Speaker 2: I mean, I was not as funny or talented as you, 418 00:22:30,280 --> 00:22:31,919 Speaker 2: But like if I had put something out that was 419 00:22:31,920 --> 00:22:34,200 Speaker 2: a version of my twenty two year old self. I 420 00:22:34,240 --> 00:22:37,960 Speaker 2: would have been cringe mortified by it immediately. 421 00:22:38,640 --> 00:22:41,320 Speaker 1: Yes, yes, and like I'm you know, it's like I 422 00:22:41,359 --> 00:22:43,960 Speaker 1: actually like haven't watched it since it aired, because it 423 00:22:44,080 --> 00:22:48,280 Speaker 1: is like the most intense, nuanced specific photo albums or 424 00:22:48,320 --> 00:22:50,240 Speaker 1: home videos. You know, it's like personal to me, and 425 00:22:50,280 --> 00:22:52,840 Speaker 1: it's like I'm laugh and I'm crying. It's like so 426 00:22:52,840 --> 00:22:56,919 Speaker 1: so emotional, but like it cracks me up. I love it. 427 00:22:57,000 --> 00:22:59,919 Speaker 1: I am so proud of the series and of this 428 00:23:00,400 --> 00:23:03,800 Speaker 1: as art and as a record of a time. But 429 00:23:03,840 --> 00:23:06,800 Speaker 1: then there's also this cringe factor just that time has 430 00:23:07,000 --> 00:23:10,080 Speaker 1: passed and that we're human and that I'm like X 431 00:23:10,160 --> 00:23:13,119 Speaker 1: number of years further along my personal timeline. You know. 432 00:23:13,320 --> 00:23:17,120 Speaker 1: We also felt like we had so thoroughly covered our 433 00:23:17,160 --> 00:23:21,360 Speaker 1: twenties and wanted to push these characters into their new chapters, 434 00:23:21,400 --> 00:23:24,680 Speaker 1: but not cover those chapters. You know. Creatively, we really 435 00:23:24,720 --> 00:23:28,000 Speaker 1: were like this has been so funny and good and 436 00:23:28,040 --> 00:23:30,280 Speaker 1: we are so proud of this, and it really felt 437 00:23:30,359 --> 00:23:32,960 Speaker 1: naturally like it between us came to an end. You know, 438 00:23:33,040 --> 00:23:37,320 Speaker 1: our contract was for seven seasons, and it was a 439 00:23:37,359 --> 00:23:40,879 Speaker 1: really uncomfortable and painful conversation A series of conversations that 440 00:23:40,880 --> 00:23:43,000 Speaker 1: we had to have to end it, but it felt 441 00:23:43,080 --> 00:23:46,080 Speaker 1: like we really again. I was thirty two by the 442 00:23:46,119 --> 00:23:48,960 Speaker 1: time the TV show ended twenty two when the web 443 00:23:48,960 --> 00:23:51,120 Speaker 1: series started, so a third of my life I had 444 00:23:51,200 --> 00:23:54,959 Speaker 1: been in this broad city vortex, which I loved and 445 00:23:55,000 --> 00:23:58,120 Speaker 1: I still love, but had had to pull my head 446 00:23:58,160 --> 00:24:00,000 Speaker 1: out of the sand to see who else I am 447 00:24:00,160 --> 00:24:02,679 Speaker 1: and how we started this conversation, you know, where I'm like, 448 00:24:03,000 --> 00:24:06,800 Speaker 1: these patterns they're not me, you know, they're not me. 449 00:24:07,080 --> 00:24:08,720 Speaker 1: And my husband and I talk about it with just 450 00:24:08,760 --> 00:24:10,600 Speaker 1: each of us, both of us all the time, where 451 00:24:10,600 --> 00:24:14,040 Speaker 1: it's like these anxieties, these stories, even these desires and 452 00:24:14,080 --> 00:24:16,880 Speaker 1: hopes and dreams. Like I also had tricked myself into 453 00:24:16,880 --> 00:24:20,639 Speaker 1: thinking that productivity was an identity, you know, or a 454 00:24:20,640 --> 00:24:23,560 Speaker 1: personality trait or something about me. And I've always been 455 00:24:23,600 --> 00:24:27,840 Speaker 1: ambitious and generative, but there's such external factors and such 456 00:24:27,880 --> 00:24:32,240 Speaker 1: like capitalism embedded in encouraging productivity, you know what I mean, 457 00:24:32,359 --> 00:24:35,040 Speaker 1: Like I don't want to be a worker twenty four 458 00:24:35,040 --> 00:24:36,679 Speaker 1: to seven. I also just want to be like a 459 00:24:36,760 --> 00:24:40,240 Speaker 1: mushy pile that my kid can jump on, you know, 460 00:24:40,359 --> 00:24:44,280 Speaker 1: Like it's I'm so I feel so grateful for having 461 00:24:44,560 --> 00:24:46,639 Speaker 1: the opportunity to have a healthy kid, because it's just 462 00:24:46,680 --> 00:24:50,200 Speaker 1: like those moments where the way that you think life 463 00:24:50,240 --> 00:24:51,440 Speaker 1: is organized just isn't. 464 00:24:52,880 --> 00:24:54,840 Speaker 3: Life always has a way of surprising us. 465 00:24:55,119 --> 00:24:58,000 Speaker 2: I never thought i'd leave politics, but then I had 466 00:24:58,000 --> 00:25:01,200 Speaker 2: my three kids and everything changed. As for a lot 467 00:25:01,200 --> 00:25:04,200 Speaker 2: of the opposite happened to her after the twenty sixteen election, 468 00:25:04,560 --> 00:25:07,280 Speaker 2: and she made another of her pivots into political organizing. 469 00:25:08,000 --> 00:25:10,199 Speaker 2: When we come back, a lot of talks about founding 470 00:25:10,280 --> 00:25:19,920 Speaker 2: Generator Collective and what's ahead with this year's election looming. Okay, 471 00:25:19,960 --> 00:25:21,960 Speaker 2: I want to make sure that we're also cover your 472 00:25:22,280 --> 00:25:23,680 Speaker 2: pivot into starting Generator. 473 00:25:24,400 --> 00:25:27,119 Speaker 5: So twenty sixteen hit and Donald Duck as I like 474 00:25:27,200 --> 00:25:31,600 Speaker 5: to call him, was elected president, and I found myself 475 00:25:31,680 --> 00:25:36,720 Speaker 5: questioning things the way what this country is, who. 476 00:25:36,600 --> 00:25:40,399 Speaker 1: I am in it? And I think also as a 477 00:25:40,400 --> 00:25:43,679 Speaker 1: white person, I like really had to look at the 478 00:25:43,960 --> 00:25:49,760 Speaker 1: system operating as intended and you know, you know, rather 479 00:25:49,800 --> 00:25:52,119 Speaker 1: than being like, but this is awful, and it's like 480 00:25:52,280 --> 00:25:55,560 Speaker 1: it actually was truly built this way or organized around 481 00:25:55,680 --> 00:25:59,760 Speaker 1: this principle. And so I think, like my values that 482 00:25:59,800 --> 00:26:02,840 Speaker 1: I I grew up with and also you know, expressed 483 00:26:02,840 --> 00:26:06,760 Speaker 1: on broad city started, I started seeing them more clearly 484 00:26:07,520 --> 00:26:10,280 Speaker 1: and being able to claim them and claim my role 485 00:26:10,440 --> 00:26:13,520 Speaker 1: in advocacy and activism. And you know, we did a 486 00:26:13,560 --> 00:26:17,160 Speaker 1: lot of different things. Generator as a collective had conversation 487 00:26:17,280 --> 00:26:19,879 Speaker 1: like I, I'll host conversations with you know, I was 488 00:26:19,960 --> 00:26:23,639 Speaker 1: lucky to talk to Gloria Steinem and Amanda Winn and 489 00:26:24,320 --> 00:26:27,240 Speaker 1: Eric Holder and Jumanni Williams, the public Advocate for New 490 00:26:27,320 --> 00:26:29,960 Speaker 1: York and Cynthia Nixon when she was running against Cuomo, 491 00:26:30,080 --> 00:26:35,680 Speaker 1: which was an unbelievable Mitzvah dance party is called Jenny Socials, 492 00:26:35,800 --> 00:26:39,080 Speaker 1: where we dance for twenty or thirty minutes at a time. 493 00:26:39,119 --> 00:26:41,200 Speaker 1: Then we take the little breaks to get cheat sheets 494 00:26:41,240 --> 00:26:44,159 Speaker 1: for the voting booth for whatever upcoming election is next. 495 00:26:44,600 --> 00:26:47,119 Speaker 1: And then when COVID hit, we actually were on tour. 496 00:26:47,680 --> 00:26:49,680 Speaker 1: I was doing a stand up tour in every city 497 00:26:49,720 --> 00:26:52,879 Speaker 1: I was going to adding a Jenny Social onto that city. 498 00:26:53,160 --> 00:26:56,040 Speaker 1: Because of lockdown, we couldn't do these Generator conversations. We 499 00:26:56,040 --> 00:26:59,680 Speaker 1: couldn't do Jenny Socials, So we pivoted to digital messaging 500 00:26:59,680 --> 00:27:02,280 Speaker 1: and owned our sweet spot there. We found that we 501 00:27:02,320 --> 00:27:05,399 Speaker 1: can actually reach more people with cheat sheet for the 502 00:27:05,480 --> 00:27:09,240 Speaker 1: voting booth as digital graphics and cover more ground. You 503 00:27:09,240 --> 00:27:11,720 Speaker 1: can actually take this cheat sheet into the voting booth 504 00:27:11,840 --> 00:27:17,520 Speaker 1: in Key States. Welcome to microdos democracy parrot by Generator. Okay, 505 00:27:17,680 --> 00:27:21,120 Speaker 1: we are exhausted. Every four years we get screamed at 506 00:27:21,160 --> 00:27:24,159 Speaker 1: for months about the upcoming presidential election and it's just 507 00:27:25,680 --> 00:27:28,200 Speaker 1: it's just gross and a blows. So we're here because 508 00:27:28,200 --> 00:27:30,880 Speaker 1: we don't want to trip balls on democracy next year. 509 00:27:31,000 --> 00:27:34,000 Speaker 1: We want a microdose, take a little bit consistently over 510 00:27:34,080 --> 00:27:36,920 Speaker 1: time to create foundational change. As a white led organization, 511 00:27:37,000 --> 00:27:39,359 Speaker 1: we hear a generator collective are in a safer position 512 00:27:39,440 --> 00:27:40,320 Speaker 1: to call out white people. 513 00:27:40,359 --> 00:27:40,960 Speaker 4: So here goes. 514 00:27:41,880 --> 00:27:45,600 Speaker 1: In twenty twenty, forty one percent of white millennials voted 515 00:27:45,800 --> 00:27:50,080 Speaker 1: for Trump. What have you read a voting plan yet? 516 00:27:50,119 --> 00:27:52,840 Speaker 3: Because it's not nothing. It's like who are you voting for? 517 00:27:52,840 --> 00:27:53,600 Speaker 4: Work? Are you witting early? 518 00:27:53,640 --> 00:27:55,480 Speaker 1: Are you voting asentee? Are you voting in person? 519 00:27:55,840 --> 00:27:55,919 Speaker 4: Like? 520 00:27:56,320 --> 00:27:59,640 Speaker 1: Make about a plan today? So you heard it here first, 521 00:28:00,200 --> 00:28:02,400 Speaker 1: going to keep the House and keep the Senate. And 522 00:28:02,440 --> 00:28:04,439 Speaker 1: this is the year that the most Gen Z and 523 00:28:04,480 --> 00:28:06,440 Speaker 1: millennials are going to turn out for the mentrumps. 524 00:28:08,840 --> 00:28:10,399 Speaker 2: You know what? So I'm asking people like, what is 525 00:28:10,400 --> 00:28:12,879 Speaker 2: like the big thing that was so big that it 526 00:28:12,960 --> 00:28:16,280 Speaker 2: cataclysmically changed your perspective and then you change your career. 527 00:28:16,680 --> 00:28:20,119 Speaker 2: And I anticipated COVID coming up a lot, and it does. 528 00:28:20,800 --> 00:28:23,800 Speaker 2: But something that came up that comes up more than 529 00:28:23,800 --> 00:28:28,160 Speaker 2: I anticipated was twenty sixteen and the election of Donald Trump. 530 00:28:28,160 --> 00:28:32,080 Speaker 2: It actually comes up a lot. And like in in stories, 531 00:28:32,119 --> 00:28:34,119 Speaker 2: I didn't think I would hear. I mean, yours is 532 00:28:34,119 --> 00:28:36,280 Speaker 2: about founding a political organization, so I thought I might 533 00:28:36,320 --> 00:28:37,960 Speaker 2: hear it. I don't know, but you know, you know, 534 00:28:38,200 --> 00:28:42,000 Speaker 2: it really does come up a lot, which indicates to 535 00:28:42,040 --> 00:28:43,400 Speaker 2: me when I think about when I kind of put 536 00:28:43,400 --> 00:28:46,240 Speaker 2: my political strategists hat back on that there's something very 537 00:28:46,320 --> 00:28:49,760 Speaker 2: visceral for women about that moment. It's not intellectual, but 538 00:28:49,760 --> 00:28:53,960 Speaker 2: it's actually visceral and emotional. And although we get into 539 00:28:54,000 --> 00:28:55,840 Speaker 2: like you know, this polling and this horse racing and 540 00:28:55,840 --> 00:28:59,320 Speaker 2: the strategy right now talking about the presidential that thing 541 00:28:59,440 --> 00:29:03,040 Speaker 2: will take over when we get into the fall. I'm 542 00:29:03,080 --> 00:29:06,200 Speaker 2: hoping and that it's not going to be an intellectual moment, 543 00:29:06,240 --> 00:29:08,160 Speaker 2: but it's going to be a visceral moment. 544 00:29:08,880 --> 00:29:12,640 Speaker 1: I hope you're right, because I don't want him in 545 00:29:12,760 --> 00:29:17,400 Speaker 1: office again. But you know, it's just I think, like 546 00:29:17,480 --> 00:29:21,719 Speaker 1: the to once again see in the past seven months, 547 00:29:22,200 --> 00:29:25,520 Speaker 1: the system operating is intended, this harsh way in which 548 00:29:25,520 --> 00:29:29,360 Speaker 1: the world works, and we've accepted for so long, and 549 00:29:30,320 --> 00:29:32,480 Speaker 1: it's just it's tough. And like what you say about 550 00:29:32,600 --> 00:29:36,880 Speaker 1: the youth and this headline being a theme, a recurring themes, 551 00:29:37,160 --> 00:29:39,720 Speaker 1: it's just the one thing that's different is that we're 552 00:29:39,800 --> 00:29:43,320 Speaker 1: communicating at a higher speed and higher volume than we 553 00:29:43,400 --> 00:29:46,480 Speaker 1: ever have before in human history. But I'm definitely just 554 00:29:46,520 --> 00:29:49,960 Speaker 1: like in comedy, I'm trying to grow with my generation 555 00:29:50,120 --> 00:29:53,200 Speaker 1: and keep you know, entertaining them and making them laugh, 556 00:29:53,240 --> 00:29:56,400 Speaker 1: but also making a space in comedy, making a space 557 00:29:56,560 --> 00:29:59,920 Speaker 1: for them to reflect and feel, and in politics, make 558 00:30:00,160 --> 00:30:04,520 Speaker 1: a space for people to have the minimum civic engagement 559 00:30:04,600 --> 00:30:07,560 Speaker 1: they need to change the system at a foundational level. 560 00:30:08,240 --> 00:30:09,880 Speaker 2: So what is that going to look like for you 561 00:30:10,000 --> 00:30:12,000 Speaker 2: over the next couple of months. You think you're going 562 00:30:12,080 --> 00:30:15,240 Speaker 2: to stick with the online content, you know, I don't 563 00:30:15,280 --> 00:30:17,760 Speaker 2: really know, Like I know we're sticking with the online content. 564 00:30:17,800 --> 00:30:19,160 Speaker 2: I know we're going to be doing. 565 00:30:18,960 --> 00:30:23,160 Speaker 1: Some We did also like a microdos democracy series where 566 00:30:23,440 --> 00:30:26,120 Speaker 1: you know, people don't want to be like tripping balls 567 00:30:26,200 --> 00:30:30,520 Speaker 1: on democracy and it's like vote vote and forced into 568 00:30:30,560 --> 00:30:33,040 Speaker 1: a corner. So I believe we will be doing a 569 00:30:33,080 --> 00:30:36,360 Speaker 1: cheat sheet for the voting booth and or a microdos democracy. 570 00:30:37,080 --> 00:30:40,200 Speaker 1: But damn, this year, like things have really changed. You know, 571 00:30:40,320 --> 00:30:44,120 Speaker 1: things were I think clear until I don't even know 572 00:30:44,120 --> 00:30:46,080 Speaker 1: how to say this, but things have changed. I mean 573 00:30:46,120 --> 00:30:49,280 Speaker 1: things have changed in the past seven months that have 574 00:30:49,440 --> 00:30:52,600 Speaker 1: made I think the task at hand even more nuanced 575 00:30:52,720 --> 00:30:55,920 Speaker 1: than before. People were like struggling to get it up 576 00:30:56,120 --> 00:31:00,640 Speaker 1: for Biden in twenty twenty even and it's different. The 577 00:31:00,680 --> 00:31:04,480 Speaker 1: landscape has changed. And something you know, so funny to hear, like, well, 578 00:31:04,520 --> 00:31:07,320 Speaker 1: the youth even engage in politics. Oh my god, now 579 00:31:07,360 --> 00:31:11,440 Speaker 1: we've seen eight years later, they're running politics and they're 580 00:31:11,760 --> 00:31:15,600 Speaker 1: resisting the two party system within from within from the 581 00:31:15,600 --> 00:31:18,600 Speaker 1: White House, like these young people who are working in government. 582 00:31:19,000 --> 00:31:21,280 Speaker 1: I think those young people know more than I do. 583 00:31:21,480 --> 00:31:23,880 Speaker 1: And the thing that I know that I know is 584 00:31:24,080 --> 00:31:26,720 Speaker 1: how to say something funny and quickly. But it's like 585 00:31:26,760 --> 00:31:29,600 Speaker 1: the ingredients for the stew are all there, but like 586 00:31:29,640 --> 00:31:31,080 Speaker 1: the proportions are changing. 587 00:31:32,120 --> 00:31:34,760 Speaker 2: So what is one thing that at the time you 588 00:31:34,800 --> 00:31:37,240 Speaker 2: thought was like a total negative, Like I'm never going 589 00:31:37,320 --> 00:31:41,120 Speaker 2: to get myself out of this I'm done, and now 590 00:31:41,240 --> 00:31:44,080 Speaker 2: you see it in retrospect. It really launched you to 591 00:31:44,120 --> 00:31:44,800 Speaker 2: where you are now. 592 00:31:45,680 --> 00:31:48,720 Speaker 1: I got into NYU kind of by the skin of 593 00:31:48,760 --> 00:31:51,080 Speaker 1: my teeth. I got into like, you know, I applied 594 00:31:51,120 --> 00:31:54,560 Speaker 1: early decision to try to ensure a spot, and I 595 00:31:54,800 --> 00:31:57,880 Speaker 1: got into this, like I didn't get into the normal 596 00:31:58,440 --> 00:32:00,720 Speaker 1: college I was applying to. I got into this like 597 00:32:00,760 --> 00:32:03,320 Speaker 1: general studies program more for like I think kids who 598 00:32:03,400 --> 00:32:05,080 Speaker 1: like went to public school and needed to catch up 599 00:32:05,080 --> 00:32:08,640 Speaker 1: on the basics before going to like the aftroviologe and I, 600 00:32:08,680 --> 00:32:12,000 Speaker 1: you know, I had all this financial aid and like 601 00:32:12,080 --> 00:32:14,400 Speaker 1: had all this like debt for you know, student debt, 602 00:32:14,960 --> 00:32:18,640 Speaker 1: and all of those things were part of what motivated 603 00:32:18,680 --> 00:32:23,880 Speaker 1: me to get into comedy. I wasn't in like, you know, 604 00:32:24,080 --> 00:32:28,600 Speaker 1: a normal program there, and everybody in that school was 605 00:32:28,640 --> 00:32:31,280 Speaker 1: working really hard to get to the college they had 606 00:32:31,280 --> 00:32:34,720 Speaker 1: originally applied to, and the financial aid. I was like 607 00:32:34,760 --> 00:32:38,040 Speaker 1: just obsessed with like working and saving money and being 608 00:32:38,040 --> 00:32:41,160 Speaker 1: able to do, you know, to live and you know, 609 00:32:41,200 --> 00:32:44,640 Speaker 1: then I learned how to make that money for broad 610 00:32:44,640 --> 00:32:47,680 Speaker 1: City and spend it on the web series, and you know, 611 00:32:47,720 --> 00:32:49,840 Speaker 1: it was really freed me up to be in the 612 00:32:49,840 --> 00:32:53,440 Speaker 1: comedy scene night, every night, doing sketch, stand up and 613 00:32:53,480 --> 00:32:57,360 Speaker 1: improv in those early days, starting at nineteen. So you know, 614 00:32:57,760 --> 00:32:59,760 Speaker 1: while I felt like felt like I had been like 615 00:33:00,040 --> 00:33:03,760 Speaker 1: Jack in a way and sort of like renting a seat, 616 00:33:03,880 --> 00:33:07,360 Speaker 1: it was the motivation that really actually catapulted me straight 617 00:33:07,400 --> 00:33:11,120 Speaker 1: into the comedy scene, where I staked out a permanent claim. 618 00:33:11,440 --> 00:33:13,160 Speaker 2: You hit the perfect note, you got it all, you 619 00:33:13,240 --> 00:33:15,640 Speaker 2: nailed it. Thank you so much, Alana, Thank you so 620 00:33:15,720 --> 00:33:18,520 Speaker 2: much for having me. You're just so great to have 621 00:33:18,520 --> 00:33:19,160 Speaker 2: a conversation with. 622 00:33:19,240 --> 00:33:19,880 Speaker 1: I appreciate it. 623 00:33:20,000 --> 00:33:21,000 Speaker 3: You're the best. 624 00:33:23,720 --> 00:33:26,680 Speaker 2: Alana still lives in New York with her adorable daughter 625 00:33:26,680 --> 00:33:29,360 Speaker 2: and husband. I truly don't know how she does it, 626 00:33:29,400 --> 00:33:32,440 Speaker 2: because not only is Babes the hit comedy of the year, 627 00:33:32,800 --> 00:33:35,200 Speaker 2: but she's still running Generator Collective as a way to 628 00:33:35,200 --> 00:33:37,000 Speaker 2: get us politically active and motivated. 629 00:33:37,600 --> 00:33:39,520 Speaker 3: Be sure to go see Babes in theaters. It is 630 00:33:39,560 --> 00:33:41,440 Speaker 3: a must see, so make a whole light of it. 631 00:33:41,600 --> 00:33:43,400 Speaker 2: Get your friends, maybe even sneak in some of your 632 00:33:43,440 --> 00:33:47,000 Speaker 2: snacks but you didn't hear that here, Get some popcorn. 633 00:33:46,680 --> 00:33:49,239 Speaker 3: And tissues and enjoy tag us. 634 00:33:49,240 --> 00:33:51,040 Speaker 2: If you go see Babes, and make sure to follow 635 00:33:51,080 --> 00:33:53,600 Speaker 2: Alana on Instagram at Alana by the way, are you 636 00:33:53,680 --> 00:33:56,240 Speaker 2: as impressed as me that she snagged that Instagram handle 637 00:33:56,840 --> 00:33:59,600 Speaker 2: and her political org At Generator Collective for all the 638 00:33:59,640 --> 00:34:01,320 Speaker 2: latest happenings talk. 639 00:34:01,160 --> 00:34:01,840 Speaker 3: To you next week. 640 00:34:03,920 --> 00:34:07,200 Speaker 2: Thanks for listening to this episode of she Pivots. If 641 00:34:07,200 --> 00:34:09,640 Speaker 2: you made it this far, you're a true pivot So 642 00:34:09,840 --> 00:34:12,560 Speaker 2: thanks for being part of this community. I hope you 643 00:34:12,680 --> 00:34:15,400 Speaker 2: enjoyed this episode, and if you did leave us a rating, 644 00:34:15,600 --> 00:34:18,600 Speaker 2: please be nice. Tell your friends about us. To learn 645 00:34:18,640 --> 00:34:21,400 Speaker 2: more about our guests, follow us on Instagram at she 646 00:34:21,560 --> 00:34:24,480 Speaker 2: Pivots the Podcast, or sign up for our newsletter where 647 00:34:24,520 --> 00:34:27,160 Speaker 2: you can get exclusive behind the scenes content, or on 648 00:34:27,200 --> 00:34:30,080 Speaker 2: our website she Pivots the Podcast Talk to You next 649 00:34:30,160 --> 00:34:36,920 Speaker 2: Week special thanks to the she Pivots team, Executive producer 650 00:34:37,200 --> 00:34:41,960 Speaker 2: Emily eda Velosik, Associate producer and social media connoisseur Hannah Cousins, 651 00:34:42,400 --> 00:34:47,400 Speaker 2: Research director Christine Dickinson, Events and logistics coordinator Madeline Sonovak, 652 00:34:47,640 --> 00:34:51,960 Speaker 2: and audio editor and mixer Nina Pollock I endorse she 653 00:34:52,360 --> 00:35:01,400 Speaker 2: Pivots