1 00:00:04,800 --> 00:00:08,000 Speaker 1: Hi everyone, I'm Kitty Kuric and this is next question. 2 00:00:12,080 --> 00:00:14,760 Speaker 1: Ava Duvernet has a new movie coming out this month. 3 00:00:14,920 --> 00:00:19,160 Speaker 1: It's called Origin, and it's really something special. It's based 4 00:00:19,200 --> 00:00:23,600 Speaker 1: on the book Cast by Isabelle Wilkerson, which had famously 5 00:00:23,720 --> 00:00:28,080 Speaker 1: been deemed unadaptable, but that wasn't going to stop Ava. 6 00:00:28,600 --> 00:00:33,520 Speaker 1: What was especially fascinating about this conversation was Ava's unusual 7 00:00:33,680 --> 00:00:37,239 Speaker 1: path to funding this film. Usually the team might go 8 00:00:37,320 --> 00:00:40,919 Speaker 1: to studios and streamers like Netflix for that, but it 9 00:00:41,000 --> 00:00:43,960 Speaker 1: wasn't quite working out the way Ava wanted when it 10 00:00:44,000 --> 00:00:48,120 Speaker 1: came to Origin, so she forged a new path, going 11 00:00:48,159 --> 00:00:53,760 Speaker 1: to philanthropic organizations and corporations and convincing them to fund 12 00:00:53,760 --> 00:00:58,960 Speaker 1: the movie. Those conversations also turned into an entire infrastructure 13 00:00:59,360 --> 00:01:04,280 Speaker 1: of social outreach around Origin, from community screenings to curriculum 14 00:01:04,319 --> 00:01:07,440 Speaker 1: for educators who might want to discuss the book or 15 00:01:07,520 --> 00:01:11,840 Speaker 1: movie in classrooms. So in this interview, which we recently 16 00:01:11,920 --> 00:01:15,479 Speaker 1: taped at Art Basel, Ava broke down how this remarkable 17 00:01:15,520 --> 00:01:18,880 Speaker 1: film came to be and her hopes for the movie's impact. 18 00:01:19,360 --> 00:01:22,040 Speaker 1: Then I sat down with some of her partners who 19 00:01:22,080 --> 00:01:32,680 Speaker 1: helped make her dreams a reality. I hope you enjoy. 20 00:01:33,400 --> 00:01:36,360 Speaker 1: There's so much I want to talk to Ava about, 21 00:01:36,400 --> 00:01:39,600 Speaker 1: and I tried not to pepper her with questions backstage 22 00:01:39,640 --> 00:01:42,800 Speaker 1: so we would be fresh. But I also want to 23 00:01:42,800 --> 00:01:45,280 Speaker 1: give you all a chance to ask Aba some questions 24 00:01:45,319 --> 00:01:48,680 Speaker 1: as well. But first, let's kind of start at the beginning. Ava, 25 00:01:48,760 --> 00:01:53,280 Speaker 1: have you always been a big fan of Isabelle Wilkerson's. 26 00:01:52,680 --> 00:01:54,480 Speaker 2: I'd read the first book, first of all, thank you 27 00:01:54,520 --> 00:01:55,240 Speaker 2: for being here. 28 00:01:55,120 --> 00:01:56,000 Speaker 3: Of course, Katie. 29 00:01:58,240 --> 00:02:02,840 Speaker 2: It's a big deal, so thank you, Katie. Course I'd 30 00:02:02,840 --> 00:02:05,080 Speaker 2: read the first book, The Warmth of other Sons, and 31 00:02:05,160 --> 00:02:07,960 Speaker 2: I was an admired of that work. And so when 32 00:02:08,400 --> 00:02:12,720 Speaker 2: Cast was published, I actually had gotten it in Galley's 33 00:02:13,600 --> 00:02:16,800 Speaker 2: before it was it was published, but I was shooting 34 00:02:16,840 --> 00:02:18,799 Speaker 2: and I didn't have a chance to read it. And 35 00:02:18,840 --> 00:02:21,400 Speaker 2: when it came out in the summer of twenty twenty, 36 00:02:21,919 --> 00:02:23,720 Speaker 2: in the middle of the pandemic, at the beginning of 37 00:02:23,720 --> 00:02:27,640 Speaker 2: the pandemic, I just couldn't read. I was just in 38 00:02:27,680 --> 00:02:29,720 Speaker 2: a daze. Yeah, So I didn't end up reading it 39 00:02:29,800 --> 00:02:32,880 Speaker 2: until about three months after it had been out, and 40 00:02:32,960 --> 00:02:36,040 Speaker 2: Oprah actually kind of convinced you to crack it open, 41 00:02:36,080 --> 00:02:39,080 Speaker 2: and you were asking me to read it since galleys 42 00:02:39,160 --> 00:02:42,160 Speaker 2: and several other people. You know, it was the Book 43 00:02:42,160 --> 00:02:45,880 Speaker 2: of the Summer, and I just I hadn't gotten to it. 44 00:02:45,919 --> 00:02:47,440 Speaker 2: So I would hear about it here or there. People 45 00:02:47,480 --> 00:02:50,040 Speaker 2: would suggest it to me or assume that I'd read it, 46 00:02:50,520 --> 00:02:51,960 Speaker 2: and so I finally, I finally did. 47 00:02:52,040 --> 00:02:53,919 Speaker 1: And what did you think when you read the book? 48 00:02:53,960 --> 00:02:59,200 Speaker 1: Because I know it was declared as unadaptable? What made 49 00:02:59,240 --> 00:03:01,639 Speaker 1: you determined to prove otherwise? 50 00:03:01,680 --> 00:03:01,920 Speaker 3: Eva? 51 00:03:03,000 --> 00:03:06,519 Speaker 2: Uh, well, I I think it's just my curiosity and 52 00:03:07,080 --> 00:03:11,359 Speaker 2: interest in the in the general, I won't even say 53 00:03:11,360 --> 00:03:18,040 Speaker 2: subject matter, just the the audacity of the argument. At times, 54 00:03:18,040 --> 00:03:21,200 Speaker 2: I wasn't even sure if I agreed with it, but 55 00:03:21,280 --> 00:03:25,440 Speaker 2: I was provoked by it, which I think is a 56 00:03:25,480 --> 00:03:29,040 Speaker 2: fantastic thing to be. Allow yourself to be provoked by 57 00:03:29,080 --> 00:03:31,760 Speaker 2: new ideas, but by things that jar you, by things 58 00:03:31,800 --> 00:03:34,880 Speaker 2: that that that that force you to think differently, and 59 00:03:34,960 --> 00:03:37,760 Speaker 2: so as long as that's a safe environment and environment 60 00:03:37,760 --> 00:03:41,440 Speaker 2: where there's respect, I think being a provocation of one's 61 00:03:41,440 --> 00:03:43,880 Speaker 2: imagination is a positive thing. And that's what happened to 62 00:03:43,880 --> 00:03:47,440 Speaker 2: me with the book. I was, you know, ignited by 63 00:03:47,520 --> 00:03:51,920 Speaker 2: the ideas, the thought that the primary lens through which 64 00:03:52,080 --> 00:03:56,160 Speaker 2: I see myself being a black woman, that those are 65 00:03:56,200 --> 00:04:00,880 Speaker 2: predicated uh, that those identities are predicate on something that's 66 00:04:01,000 --> 00:04:04,200 Speaker 2: very much animated by cast in our society, and that 67 00:04:04,320 --> 00:04:10,680 Speaker 2: those ideas of the isms racism, sexism, is laophobia, homophobia, 68 00:04:10,720 --> 00:04:14,160 Speaker 2: anti semitism, whatever it is, all sit on top of 69 00:04:14,200 --> 00:04:17,280 Speaker 2: something else called cast, and cast is the skeleton and 70 00:04:17,360 --> 00:04:20,599 Speaker 2: all of those other isms are the skin. You know, 71 00:04:20,680 --> 00:04:23,240 Speaker 2: cast is the wound, and everything else is kind of 72 00:04:23,440 --> 00:04:25,960 Speaker 2: on top of it. And so I just thought, what 73 00:04:26,120 --> 00:04:29,479 Speaker 2: a vibrant idea to help organize my thoughts. I wanted 74 00:04:29,480 --> 00:04:31,640 Speaker 2: to talk to folks about it, but I know that 75 00:04:31,680 --> 00:04:35,920 Speaker 2: from thirteenth and from when they see us that popular culture, 76 00:04:36,720 --> 00:04:40,200 Speaker 2: that putting these tough ideas in movies and TV shows 77 00:04:40,800 --> 00:04:43,479 Speaker 2: moves it into the culture faster than anything else. And 78 00:04:43,520 --> 00:04:45,400 Speaker 2: that's what I really wanted. So that's why I started 79 00:04:45,400 --> 00:04:47,120 Speaker 2: to think about could this be a movie? 80 00:04:47,160 --> 00:04:50,839 Speaker 1: And of course you had to transform and translate these 81 00:04:51,200 --> 00:04:56,400 Speaker 1: these thoughts from a pretty dense, fairly academic book into 82 00:04:57,000 --> 00:05:00,159 Speaker 1: a narrative, a story, and you turned it in and 83 00:05:00,240 --> 00:05:05,280 Speaker 1: to really Isabelle Wilkerson's journey. When did you have that 84 00:05:05,440 --> 00:05:06,279 Speaker 1: aha moment? 85 00:05:06,400 --> 00:05:06,679 Speaker 3: Eva? 86 00:05:06,800 --> 00:05:10,880 Speaker 1: You thought, this story is really the story of the 87 00:05:10,920 --> 00:05:13,040 Speaker 1: woman behind the writing. 88 00:05:13,400 --> 00:05:16,400 Speaker 2: Yes, well nothing is impossible, and so I knew I 89 00:05:16,440 --> 00:05:18,600 Speaker 2: was interested in the ideas in the book. But they 90 00:05:18,640 --> 00:05:20,520 Speaker 2: weren't a lot of characters in the book. There were 91 00:05:20,560 --> 00:05:24,360 Speaker 2: some though. There was Augustin Irma, the German couple, right, 92 00:05:24,480 --> 00:05:26,880 Speaker 2: she ends up in the camps, he doesn't hile there 93 00:05:27,000 --> 00:05:31,719 Speaker 2: was Alison Elizabeth Davis, the African American anthropologists, right who 94 00:05:31,760 --> 00:05:34,880 Speaker 2: In the book, Miss Wilkerson says that they were doing 95 00:05:34,880 --> 00:05:38,440 Speaker 2: their research primarily in Natchez, Mississippi, But she has a 96 00:05:38,440 --> 00:05:40,080 Speaker 2: couple of lines in there that says that they used 97 00:05:40,120 --> 00:05:42,120 Speaker 2: to they had studied in Europe. And I was like, wow, 98 00:05:42,120 --> 00:05:44,599 Speaker 2: they studied in Europe. Where so when I went and 99 00:05:44,640 --> 00:05:47,680 Speaker 2: did that research, it connected them to Germany. So the 100 00:05:47,839 --> 00:05:50,839 Speaker 2: characters started to come together. I thought, well, maybe it's 101 00:05:50,880 --> 00:05:53,440 Speaker 2: just about these historical characters. Then I said, I don't 102 00:05:53,440 --> 00:05:56,240 Speaker 2: want to make another history movie. I just didn't want 103 00:05:56,279 --> 00:05:58,240 Speaker 2: to make another one. So I was forcing myself to 104 00:05:58,320 --> 00:06:00,840 Speaker 2: look in the book and find a contempt very character. 105 00:06:01,240 --> 00:06:03,760 Speaker 2: And then one day I was reading a chapter in 106 00:06:03,800 --> 00:06:08,400 Speaker 2: the book and the author was recounting her research and 107 00:06:08,480 --> 00:06:11,200 Speaker 2: she was using the word I a lot, and I 108 00:06:11,240 --> 00:06:15,400 Speaker 2: was like, she's a character. She's the contemporary character. So 109 00:06:15,480 --> 00:06:17,800 Speaker 2: when I went to her and I said, I'd like 110 00:06:17,880 --> 00:06:23,279 Speaker 2: to adapt your book and there's a main character that 111 00:06:23,320 --> 00:06:26,600 Speaker 2: I'm really fascinated by, who. 112 00:06:26,320 --> 00:06:28,840 Speaker 3: You what did she say? 113 00:06:29,040 --> 00:06:32,920 Speaker 2: She she agreed rather quickly. She agreed rather quickly, and 114 00:06:33,000 --> 00:06:36,840 Speaker 2: she gave me the answers to all the questions that 115 00:06:36,880 --> 00:06:40,560 Speaker 2: I needed over a course of about two years, you know, 116 00:06:41,080 --> 00:06:44,200 Speaker 2: about a dozen and a half conversations, multiple hours. 117 00:06:44,440 --> 00:06:46,880 Speaker 1: I was going to say, because on Zoom there's so 118 00:06:47,000 --> 00:06:55,240 Speaker 1: many intimate details Isabelle's life and her losses and these moments, 119 00:06:55,360 --> 00:06:58,440 Speaker 1: I mean, how much creative license did you take ava? 120 00:06:58,480 --> 00:07:01,720 Speaker 1: For example, when she and her mom are looking at 121 00:07:01,760 --> 00:07:05,719 Speaker 1: the cloud at the nursing home or assisted living facility, 122 00:07:05,800 --> 00:07:10,240 Speaker 1: whatever it was, exactly and some of the conversations. Did 123 00:07:10,280 --> 00:07:16,200 Speaker 1: she say, you can expand upon our conversations and build 124 00:07:16,280 --> 00:07:18,600 Speaker 1: these characters as you see fit. 125 00:07:18,840 --> 00:07:22,520 Speaker 2: She did. She gave me the freedom, and she was 126 00:07:22,600 --> 00:07:25,000 Speaker 2: very gracious and telling me the stories about the losses 127 00:07:25,000 --> 00:07:28,360 Speaker 2: of her mother, her husband, and her cousin Marian and 128 00:07:28,400 --> 00:07:31,800 Speaker 2: then allowing me to go and interpret them. And so 129 00:07:32,600 --> 00:07:37,280 Speaker 2: stories like her and the Plumber are pretty much exactly 130 00:07:37,320 --> 00:07:40,440 Speaker 2: what she recounts in the book, but stories about things 131 00:07:40,480 --> 00:07:42,679 Speaker 2: that happened with Marian. None of that is in the book. 132 00:07:43,280 --> 00:07:46,280 Speaker 2: And so so it was a balance between being inspired 133 00:07:46,320 --> 00:07:49,360 Speaker 2: by the book the history, and the book going beyond 134 00:07:49,360 --> 00:07:51,600 Speaker 2: the book into her personal history that she told me, 135 00:07:51,680 --> 00:07:54,920 Speaker 2: and then other research historically that I brought to the pages. 136 00:07:55,200 --> 00:07:57,840 Speaker 1: It's such an effective mosaic, and I think, you know, 137 00:07:58,120 --> 00:08:00,560 Speaker 1: I'm a big fan of all your filmilms, but it 138 00:08:00,680 --> 00:08:04,160 Speaker 1: struck me that this kind of had elements. It had 139 00:08:04,200 --> 00:08:08,880 Speaker 1: elements of a documentary, it had elements of a feature film. 140 00:08:08,920 --> 00:08:13,440 Speaker 1: Can you talk about And it's such a vast, you know, 141 00:08:14,040 --> 00:08:17,680 Speaker 1: story to cover with so many different components. Talk to 142 00:08:17,800 --> 00:08:21,640 Speaker 1: us about how you were able to figure out the 143 00:08:21,680 --> 00:08:25,320 Speaker 1: structure of this and you know, going from the past 144 00:08:25,440 --> 00:08:30,760 Speaker 1: to the present to vignettes and almost like short films 145 00:08:30,800 --> 00:08:35,640 Speaker 1: about each of these characters that are placed in history. 146 00:08:36,600 --> 00:08:40,480 Speaker 2: The way I was able to do it really points 147 00:08:40,559 --> 00:08:45,280 Speaker 2: directly back to the financing model because I was free. 148 00:08:46,120 --> 00:08:48,560 Speaker 2: You know, I was free for the first time since 149 00:08:48,600 --> 00:08:51,880 Speaker 2: i'd made independent films when I was using my own 150 00:08:51,920 --> 00:08:54,040 Speaker 2: money and I was just starting out and no one 151 00:08:54,080 --> 00:08:57,160 Speaker 2: cared since I'd made one hundred million dollar films for 152 00:08:57,200 --> 00:09:01,280 Speaker 2: Disney and Netflix and all the Yonce videos and Apple 153 00:09:01,280 --> 00:09:06,320 Speaker 2: commercials and all of the things. But there's always someone 154 00:09:06,320 --> 00:09:08,840 Speaker 2: looking over your shoulder, you know, and there's always someone 155 00:09:08,880 --> 00:09:11,480 Speaker 2: saying are you sure about that? And we can't do. 156 00:09:11,480 --> 00:09:14,960 Speaker 1: That questions which probably causes you to question yourself. 157 00:09:15,080 --> 00:09:18,080 Speaker 2: It changes, you know, what you're making changes, The vision changes, 158 00:09:18,120 --> 00:09:21,240 Speaker 2: and it's okay, you're taking millions of dollars of these 159 00:09:21,240 --> 00:09:25,360 Speaker 2: corporations money and they should be involved. But if you 160 00:09:25,520 --> 00:09:30,400 Speaker 2: have a vision and an idea and you consider the 161 00:09:30,440 --> 00:09:34,680 Speaker 2: prospect of being able to fully birth that without someone 162 00:09:34,760 --> 00:09:38,400 Speaker 2: breathing down your neck or changing the vision or doubting 163 00:09:38,559 --> 00:09:44,240 Speaker 2: or fearful, fear based decisions, wouldn't you choose it? And so, 164 00:09:45,040 --> 00:09:50,000 Speaker 2: in venturing to finance this film outside of the studio system, 165 00:09:50,120 --> 00:09:53,760 Speaker 2: I gave myself the freedom to think about this storytelling 166 00:09:53,800 --> 00:09:56,640 Speaker 2: differently than I would if I was inside the studio system. 167 00:09:56,640 --> 00:09:58,960 Speaker 2: And that meant I'm going to blur the lines between 168 00:09:58,960 --> 00:10:02,040 Speaker 2: documentary and narrative, if I'm going to have historical and 169 00:10:02,080 --> 00:10:06,640 Speaker 2: contemporary and also a surreal element. Are there leaves falling 170 00:10:06,679 --> 00:10:10,400 Speaker 2: in the scene? Yeah, tell it? I thought, try, just 171 00:10:10,480 --> 00:10:13,600 Speaker 2: try it, you know, and and and and to throw 172 00:10:13,720 --> 00:10:15,880 Speaker 2: all of that into the pot and see what came out. 173 00:10:15,960 --> 00:10:18,040 Speaker 1: I'm glad you brought that up because I wanted to 174 00:10:18,080 --> 00:10:22,079 Speaker 1: ask you about sort of where the idea of the 175 00:10:22,120 --> 00:10:26,120 Speaker 1: falling leaves that you use repeatedly, you know, that is 176 00:10:26,240 --> 00:10:29,559 Speaker 1: really a motif in the film. Where did that come from? 177 00:10:29,640 --> 00:10:33,080 Speaker 3: And was it? I mean, how does that happen? 178 00:10:33,679 --> 00:10:37,920 Speaker 2: Yes, well, you know, and interpreting Isabelle Wilkerson the story 179 00:10:37,960 --> 00:10:40,679 Speaker 2: of the of the passing of her loved ones and 180 00:10:40,760 --> 00:10:44,360 Speaker 2: trying to interpret that visually, you know, and trying to 181 00:10:45,720 --> 00:10:47,880 Speaker 2: you know, kind of bring that to the heart of 182 00:10:47,880 --> 00:10:50,720 Speaker 2: the people who are watching. I went into my own 183 00:10:50,920 --> 00:10:55,000 Speaker 2: personal experience with loss and when my father passed away 184 00:10:55,080 --> 00:10:59,680 Speaker 2: quite unexpectedly, that's how I felt. I wanted to I 185 00:10:59,679 --> 00:11:01,520 Speaker 2: felt was in a black hole and I just wanted 186 00:11:01,559 --> 00:11:03,400 Speaker 2: to be buried with leaves so that people would look 187 00:11:03,400 --> 00:11:05,560 Speaker 2: out on the lawn and think, oh, well, maybe she 188 00:11:05,640 --> 00:11:08,040 Speaker 2: was here and now she's not and didn't matter because 189 00:11:08,080 --> 00:11:10,880 Speaker 2: he wasn't here. And that's how I felt. And so 190 00:11:11,480 --> 00:11:15,079 Speaker 2: trying to articulate her loss by connecting it to mine 191 00:11:15,600 --> 00:11:19,480 Speaker 2: was something that I tried to share. And that's what 192 00:11:19,520 --> 00:11:21,800 Speaker 2: filmmaking is you know, you can take the script, you 193 00:11:21,800 --> 00:11:24,360 Speaker 2: can take the book, but the best filmmaking is the 194 00:11:24,360 --> 00:11:27,640 Speaker 2: filmmaker imbuing themselves, putting their fingerprints on the experience and 195 00:11:27,720 --> 00:11:30,280 Speaker 2: leaving a bit of themselves behind in the scenes. And 196 00:11:30,320 --> 00:11:32,480 Speaker 2: so that was based on my own personal feeling. 197 00:11:32,679 --> 00:11:36,000 Speaker 1: I thought it was so beautiful and really effective, and 198 00:11:36,080 --> 00:11:40,120 Speaker 1: you I mean, there were so many the visual vocabulary 199 00:11:40,800 --> 00:11:43,720 Speaker 1: of the movie is so varied and rich, and some 200 00:11:43,800 --> 00:11:47,360 Speaker 1: of the scenes obviously were quite difficult to pull off, 201 00:11:47,400 --> 00:11:50,760 Speaker 1: you know, the scenes with the Nazi rallies for example, 202 00:11:51,320 --> 00:11:55,000 Speaker 1: and the scenes in India. I mean, talk about sort 203 00:11:55,040 --> 00:11:59,520 Speaker 1: of the challenges of shooting these stories and so many 204 00:11:59,600 --> 00:12:00,640 Speaker 1: different places. 205 00:12:01,240 --> 00:12:06,520 Speaker 2: Yeah, so most films of this size that look around 206 00:12:06,520 --> 00:12:09,560 Speaker 2: this size would be I don't know, maybe ninety two, 207 00:12:09,559 --> 00:12:11,680 Speaker 2: one hundred days something like this. We shot this in 208 00:12:11,720 --> 00:12:15,959 Speaker 2: thirty seven days. I went to three continents, so we 209 00:12:15,960 --> 00:12:23,280 Speaker 2: were you know, in Delhi, in Berlin, in our domestic 210 00:12:23,320 --> 00:12:28,080 Speaker 2: base with Savannah, Georgia, and so, you know, really thinking 211 00:12:28,120 --> 00:12:32,240 Speaker 2: about the finite amount of money we had, I could 212 00:12:32,280 --> 00:12:34,640 Speaker 2: never go back to the studio and say we're a 213 00:12:34,679 --> 00:12:38,360 Speaker 2: little over, we need to pad that, or the crane broke, 214 00:12:38,440 --> 00:12:41,480 Speaker 2: no problem we'll send over another one. Or you know, 215 00:12:42,960 --> 00:12:44,720 Speaker 2: we're in India now, in the middle of the street 216 00:12:44,800 --> 00:12:50,120 Speaker 2: and there's no electricity and we thought there would be 217 00:12:50,280 --> 00:12:53,000 Speaker 2: a generator here. What should we do? It was Paul 218 00:12:53,080 --> 00:12:56,480 Speaker 2: Garns and me looking at each other saying, we're going 219 00:12:56,520 --> 00:12:58,120 Speaker 2: to figure it out. It's just the two of us, 220 00:12:58,160 --> 00:12:59,600 Speaker 2: the man who was on the stage at the top 221 00:12:59,600 --> 00:13:03,640 Speaker 2: of the and so you know what an adventure want 222 00:13:03,679 --> 00:13:05,760 Speaker 2: to ride? It's addictive. I want to do it again 223 00:13:05,760 --> 00:13:06,160 Speaker 2: and again. 224 00:13:07,559 --> 00:13:09,760 Speaker 1: You like to have to be really careful with money. 225 00:13:09,920 --> 00:13:13,520 Speaker 2: I like, I like to be able to spend the 226 00:13:13,559 --> 00:13:17,240 Speaker 2: money in service of the vision and not in service 227 00:13:17,280 --> 00:13:20,160 Speaker 2: of fear, you know what I mean, and not and 228 00:13:20,200 --> 00:13:25,200 Speaker 2: not to be thank you, and and I think so 229 00:13:25,400 --> 00:13:27,920 Speaker 2: much of in my industry, in a different industry than 230 00:13:27,960 --> 00:13:30,880 Speaker 2: many of you, but it is fear based. So many 231 00:13:30,920 --> 00:13:33,520 Speaker 2: of the decisions that are being made are being made 232 00:13:34,000 --> 00:13:36,120 Speaker 2: because a boss's boss or my boss won't like that, 233 00:13:36,240 --> 00:13:39,240 Speaker 2: or just everyone's doing their little bitty piece. And the 234 00:13:39,360 --> 00:13:43,800 Speaker 2: idea that we as filmmakers, as artists, as producers, as friends, 235 00:13:44,760 --> 00:13:47,520 Speaker 2: you know, catalyzed by the great work of Regina Miller 236 00:13:47,559 --> 00:13:51,400 Speaker 2: who raised the money and just like side by side 237 00:13:51,400 --> 00:13:54,320 Speaker 2: with me a partner, and in putting this model together, 238 00:13:54,880 --> 00:13:59,440 Speaker 2: we envisioned a new world, a new way to make 239 00:13:59,760 --> 00:14:03,600 Speaker 2: this kind of scalable. You know, a film that felt 240 00:14:03,600 --> 00:14:07,319 Speaker 2: intimate but also had epic pieces to it, that was international, 241 00:14:07,320 --> 00:14:10,400 Speaker 2: it was global in scope, that was about serious subject matter, 242 00:14:10,720 --> 00:14:14,440 Speaker 2: subject matter that you know is less attractive to studios 243 00:14:14,480 --> 00:14:19,360 Speaker 2: to make. Imagine the pitch. I go in and I say, 244 00:14:19,360 --> 00:14:21,280 Speaker 2: they say, hi, Eva, gosh, we haven't seen you in 245 00:14:21,280 --> 00:14:25,320 Speaker 2: a while. Miss you. Guys, how are you? And so 246 00:14:25,440 --> 00:14:26,960 Speaker 2: what are you thinking about? We just want to hear 247 00:14:27,040 --> 00:14:29,000 Speaker 2: we're going to work with you. Yeah, no, I want 248 00:14:29,000 --> 00:14:30,800 Speaker 2: to work with you all too. So my next piece, 249 00:14:30,840 --> 00:14:37,400 Speaker 2: I'm really interested in making a film about cast. Cast. 250 00:14:37,920 --> 00:14:41,240 Speaker 2: You want to have a cast in it? No, cast, 251 00:14:41,440 --> 00:14:45,880 Speaker 2: the social phenomenon of the hierarchy of human beings. Like 252 00:14:46,000 --> 00:14:49,680 Speaker 2: that's not They were like, I didn't, I didn't even 253 00:14:49,720 --> 00:14:51,840 Speaker 2: do it. That would have been the pitch. And so 254 00:14:52,160 --> 00:14:54,880 Speaker 2: we saved ourselves a year of going through and doing 255 00:14:54,920 --> 00:14:57,440 Speaker 2: that and try and we just spent the time instead 256 00:14:57,720 --> 00:14:58,680 Speaker 2: building something new. 257 00:14:58,960 --> 00:15:03,560 Speaker 1: Talk about the Trayvon Martin of it all. And you know, 258 00:15:03,880 --> 00:15:08,360 Speaker 1: as a black woman writing and directing this film, what 259 00:15:08,480 --> 00:15:11,280 Speaker 1: it was like, and I think you did that so 260 00:15:11,440 --> 00:15:16,160 Speaker 1: beautifully with the nine to one one tapes, and I 261 00:15:16,240 --> 00:15:21,240 Speaker 1: know that was choreographed exactly really how it happened with 262 00:15:21,360 --> 00:15:25,120 Speaker 1: George Zimmerman and Trayvon Martin. Can you just talk about 263 00:15:25,280 --> 00:15:30,520 Speaker 1: sort of the importance of that scene, eva, juxtaposed with 264 00:15:30,680 --> 00:15:33,240 Speaker 1: so many of the historical moments in the film. 265 00:15:33,520 --> 00:15:37,160 Speaker 2: Yes, yes, Well, in my conversations with the author, she 266 00:15:37,280 --> 00:15:40,160 Speaker 2: had shared that I asked, where did this idea of 267 00:15:40,160 --> 00:15:43,680 Speaker 2: cast count come from? A lot of it, she traced back. 268 00:15:44,520 --> 00:15:48,800 Speaker 2: Her early thoughts about it were around the Trayvon Martin case. 269 00:15:49,120 --> 00:15:51,240 Speaker 2: She was she was writing about it, she was thinking 270 00:15:51,280 --> 00:15:56,640 Speaker 2: about it, and so I was trying to, you know, 271 00:15:56,720 --> 00:15:58,760 Speaker 2: find a way to interpret that and put it in 272 00:15:58,800 --> 00:16:00,480 Speaker 2: the in the film. And it took me a while 273 00:16:00,560 --> 00:16:05,680 Speaker 2: to decide to actually show what happened. But what was 274 00:16:05,720 --> 00:16:07,640 Speaker 2: important is if I showed it, I had to show 275 00:16:07,640 --> 00:16:11,160 Speaker 2: from his perspective too, And I wanted you to see 276 00:16:11,240 --> 00:16:14,160 Speaker 2: him first. It's just a kid talking to a girl 277 00:16:14,160 --> 00:16:16,240 Speaker 2: on the phone. He went to get some candy. But 278 00:16:16,320 --> 00:16:20,960 Speaker 2: when you hear the killer's version, he was a sinister guy, 279 00:16:21,200 --> 00:16:23,400 Speaker 2: looked like he was on drugs, walking around the place. 280 00:16:23,440 --> 00:16:26,040 Speaker 2: What is he doing here? They always get away? That's 281 00:16:26,040 --> 00:16:28,840 Speaker 2: what George Zimbers and Zimmerman says on the tape. That 282 00:16:28,960 --> 00:16:31,480 Speaker 2: was the real tape that you heard on that tape 283 00:16:31,520 --> 00:16:33,440 Speaker 2: on the second nine one one tape where you hear 284 00:16:33,440 --> 00:16:35,960 Speaker 2: the woman and she's calling in the real woman, you 285 00:16:36,000 --> 00:16:39,800 Speaker 2: can hear Trayvon Martin screaming in the background, and so 286 00:16:40,080 --> 00:16:44,240 Speaker 2: you can hear the gunshot, right, and so you actually 287 00:16:44,240 --> 00:16:46,440 Speaker 2: have that murder caught on tape. And so to think, 288 00:16:46,520 --> 00:16:49,920 Speaker 2: how can I honor this Instead of just doing the tape, 289 00:16:50,520 --> 00:16:54,800 Speaker 2: I wanted to do the kid, the kid that he 290 00:16:54,920 --> 00:16:56,880 Speaker 2: was just before, so that when you hear the tape, 291 00:16:56,920 --> 00:16:59,720 Speaker 2: when you see what the reenactment of what had happened, 292 00:17:00,600 --> 00:17:02,880 Speaker 2: you know him already. You know what he was doing. 293 00:17:02,960 --> 00:17:04,840 Speaker 2: He was talking about breakfast, he was talking about whatever 294 00:17:04,880 --> 00:17:07,480 Speaker 2: they were talking about. His mother was kind enough to 295 00:17:08,080 --> 00:17:12,080 Speaker 2: I called her before I did anything, and I asked her, 296 00:17:12,119 --> 00:17:14,600 Speaker 2: I was so nervous to talk to her. She was like, girl, 297 00:17:14,680 --> 00:17:16,679 Speaker 2: are you nervous? You know, just talk to me. She 298 00:17:16,800 --> 00:17:19,920 Speaker 2: was so lovely, Sabrina Fulton, and she said, do it, 299 00:17:20,040 --> 00:17:20,639 Speaker 2: you know, do it. 300 00:17:20,640 --> 00:17:21,159 Speaker 3: I've interview. 301 00:17:21,640 --> 00:17:24,040 Speaker 2: Isn't she wonderful? Yeah, she said do it, and she 302 00:17:24,760 --> 00:17:27,320 Speaker 2: so you know that was done with her permission and 303 00:17:29,320 --> 00:17:31,800 Speaker 2: book ended. Now that you've seen it, you know the 304 00:17:31,840 --> 00:17:33,880 Speaker 2: first image of the film is him, and the last 305 00:17:33,960 --> 00:17:36,720 Speaker 2: image of the film is him. And there are many 306 00:17:36,760 --> 00:17:39,479 Speaker 2: parts of the film that are tough to watch and 307 00:17:39,520 --> 00:17:42,520 Speaker 2: that I've cried over, whether I was writing it, filming it, 308 00:17:42,720 --> 00:17:46,480 Speaker 2: or editing it. And I'm all cried out on the movie. 309 00:17:47,359 --> 00:17:51,480 Speaker 2: There's nothing that I cried anymore except his last look. 310 00:17:52,320 --> 00:17:54,760 Speaker 2: Sometimes when I'm doing a Q and A, if I 311 00:17:54,880 --> 00:17:57,720 Speaker 2: catch it, I get very emotional. His last look right 312 00:17:57,760 --> 00:18:00,360 Speaker 2: at her. It's a really shot where he's looking down 313 00:18:00,359 --> 00:18:04,920 Speaker 2: the barrel. The camera's always looking at you, and he's 314 00:18:04,960 --> 00:18:09,320 Speaker 2: just something about it that gets me every time. Now 315 00:18:09,640 --> 00:18:12,120 Speaker 2: I don't look at it because I will start to cry. 316 00:18:12,760 --> 00:18:16,520 Speaker 2: Unlike Katie, who was crying in the background, like literally 317 00:18:16,560 --> 00:18:19,359 Speaker 2: came out of our little holding areas in Katie Kirk 318 00:18:19,440 --> 00:18:23,120 Speaker 2: and she's just very much crying. And like I said, Katie, 319 00:18:23,200 --> 00:18:25,600 Speaker 2: who I know a little bit what is going on. 320 00:18:25,840 --> 00:18:29,160 Speaker 2: She's a out right the albright. 321 00:18:29,320 --> 00:18:34,280 Speaker 1: I think it's so honestly heartbreaking and upsetting and so beauty. 322 00:18:34,320 --> 00:18:38,199 Speaker 1: I mean, that little boy is so precious and the 323 00:18:38,240 --> 00:18:40,840 Speaker 1: man who's recounting the story. I didn't want to ask 324 00:18:40,880 --> 00:18:44,360 Speaker 1: Ava backstage because I wanted to hear her true response 325 00:18:44,640 --> 00:18:48,240 Speaker 1: is I wondered, you know this idea of the documentary 326 00:18:48,760 --> 00:18:52,960 Speaker 1: meets a feature if the man telling Isabelle's character in 327 00:18:53,480 --> 00:18:58,200 Speaker 1: the movie was actually his teammate. Was he Albright's redheaded 328 00:18:58,240 --> 00:19:01,359 Speaker 1: teammate or was he an How. 329 00:19:01,240 --> 00:19:06,320 Speaker 2: Many people think he was a real guy, okay, the 330 00:19:06,359 --> 00:19:10,439 Speaker 2: real man, and how many think he was an actor? Okay, 331 00:19:10,520 --> 00:19:13,359 Speaker 2: more people think he was real. Okay, he's somewhere in 332 00:19:13,440 --> 00:19:18,879 Speaker 2: the middle. Okay, he's not the real man. He is 333 00:19:18,960 --> 00:19:22,200 Speaker 2: not the real man. He's also not an actor. Okay, 334 00:19:22,280 --> 00:19:25,760 Speaker 2: let me tell you who he is. When Regina Miller 335 00:19:25,840 --> 00:19:28,879 Speaker 2: was talking before an answer to your question, Katie of 336 00:19:29,440 --> 00:19:32,800 Speaker 2: what are the ways in which you've included your ideas 337 00:19:32,800 --> 00:19:36,880 Speaker 2: about social justice and social impact into the filmmaking, one 338 00:19:36,920 --> 00:19:39,600 Speaker 2: of the ways is to try to eliminate as many 339 00:19:39,680 --> 00:19:43,320 Speaker 2: hierarchies as we could on set. So when I walk 340 00:19:43,359 --> 00:19:47,199 Speaker 2: through the set, I'm the boss, and the way it 341 00:19:47,280 --> 00:19:49,920 Speaker 2: usually goes is, no one talks to me unless you're 342 00:19:49,960 --> 00:19:52,000 Speaker 2: in my inner circle. And when I say me, I 343 00:19:52,080 --> 00:19:54,800 Speaker 2: mean the director. No one talks to the director unless 344 00:19:54,920 --> 00:19:57,760 Speaker 2: you're asked a question, or unless you're the DP or 345 00:19:57,760 --> 00:20:01,680 Speaker 2: the production designer in that top top circle. It's very 346 00:20:01,760 --> 00:20:03,720 Speaker 2: rare that folks are just coming up to you because 347 00:20:03,760 --> 00:20:07,880 Speaker 2: you're the director and you must see your unwalking leave 348 00:20:07,920 --> 00:20:11,760 Speaker 2: her bee, right, It's ridiculous. So one of the things 349 00:20:11,760 --> 00:20:13,359 Speaker 2: that I like to do, and when you look at 350 00:20:13,359 --> 00:20:17,000 Speaker 2: the who would be considered the bottom of the hierarchy 351 00:20:17,040 --> 00:20:22,080 Speaker 2: of a set, it's the extras. Okay, the extras who 352 00:20:22,119 --> 00:20:26,080 Speaker 2: I call background actors, but the extras they're put off 353 00:20:26,080 --> 00:20:28,240 Speaker 2: to the site. They have a different place where they eat, 354 00:20:29,080 --> 00:20:30,680 Speaker 2: they have a different place where they sit. 355 00:20:30,840 --> 00:20:33,080 Speaker 3: So there's a cast system, the cast. 356 00:20:32,840 --> 00:20:36,160 Speaker 2: System right on every single set. They're kept away from 357 00:20:36,160 --> 00:20:38,000 Speaker 2: the rest of the set. It's like bring them in 358 00:20:38,720 --> 00:20:40,199 Speaker 2: and they come in like cat and they're like, you 359 00:20:40,240 --> 00:20:42,480 Speaker 2: go over there, you go over there. They're not treated well. 360 00:20:42,720 --> 00:20:44,320 Speaker 2: They're not treated well. And I think the reason why 361 00:20:44,320 --> 00:20:46,800 Speaker 2: I have such empathy for them is because one day 362 00:20:46,920 --> 00:20:48,760 Speaker 2: my mother said, I want to try to be an extra, 363 00:20:48,800 --> 00:20:50,240 Speaker 2: and I was like, I don't think you're going to 364 00:20:50,359 --> 00:20:51,960 Speaker 2: like it, and she's like, I just want to. I 365 00:20:51,960 --> 00:20:53,720 Speaker 2: can make one hundred and fifty dollars for the day, 366 00:20:53,760 --> 00:20:56,680 Speaker 2: and I'm just gonna do it. She came back so devastated. 367 00:20:56,760 --> 00:20:59,119 Speaker 2: She was just so I was like treated like a 368 00:20:59,160 --> 00:21:03,000 Speaker 2: subhuman And so I thought, as we started to think 369 00:21:03,040 --> 00:21:05,560 Speaker 2: about the different ways to break down casts, the idea 370 00:21:05,560 --> 00:21:08,720 Speaker 2: of really talking to the actors and background actors and 371 00:21:08,800 --> 00:21:12,119 Speaker 2: really including them in the process became a part of 372 00:21:12,160 --> 00:21:16,119 Speaker 2: our process. So on this particular day, I'm walking across 373 00:21:16,119 --> 00:21:18,280 Speaker 2: the set where the pool is and one of the 374 00:21:18,280 --> 00:21:21,239 Speaker 2: background actors who had been free. I talk to them 375 00:21:21,240 --> 00:21:23,160 Speaker 2: all the time. I set up the scene with them. 376 00:21:23,520 --> 00:21:26,280 Speaker 2: They know what they're doing. They can eat regular food, 377 00:21:26,359 --> 00:21:28,800 Speaker 2: they can be with the regular people. Like we're trying 378 00:21:28,800 --> 00:21:31,920 Speaker 2: not to segregate the set. He stops me and he says, 379 00:21:31,960 --> 00:21:34,040 Speaker 2: Miss Duverne, I just want to tell you the scene 380 00:21:34,040 --> 00:21:36,600 Speaker 2: we're doing today. It really I feel emotional about it 381 00:21:36,640 --> 00:21:38,920 Speaker 2: because something like that happened to me when I was young, 382 00:21:39,640 --> 00:21:41,280 Speaker 2: And I stopped and I said, tell me, and he 383 00:21:41,359 --> 00:21:45,040 Speaker 2: told me a story that add some similarities to the 384 00:21:45,080 --> 00:21:47,160 Speaker 2: scene that we were shooting. Now, the background actors are 385 00:21:47,200 --> 00:21:50,840 Speaker 2: so segregated, they don't get a script, so they don't 386 00:21:50,920 --> 00:21:53,040 Speaker 2: ever know what we're doing. Because you can't give like 387 00:21:53,040 --> 00:21:55,960 Speaker 2: a thousand people the script end up on LinkedIn. I 388 00:21:55,960 --> 00:21:59,640 Speaker 2: don't know whatever you yeah, and so we just kind 389 00:21:59,680 --> 00:22:02,119 Speaker 2: of don't give them pages. But I like to at 390 00:22:02,200 --> 00:22:04,119 Speaker 2: least describe it to them. So he says, I'm not 391 00:22:04,119 --> 00:22:06,280 Speaker 2: sure what's going on here, but this reminds me of something. 392 00:22:06,320 --> 00:22:08,560 Speaker 2: He tells me what it reminds him of, and I said, 393 00:22:08,560 --> 00:22:10,439 Speaker 2: and he's almost has tears in his eyes as he's 394 00:22:10,480 --> 00:22:13,480 Speaker 2: telling me. I said, you know, if I give you 395 00:22:13,600 --> 00:22:16,600 Speaker 2: the pages of this script, you can go over there 396 00:22:16,600 --> 00:22:19,080 Speaker 2: and read them. Do you think that you could tell 397 00:22:19,119 --> 00:22:22,119 Speaker 2: the story of the pages with the same emotion that 398 00:22:22,119 --> 00:22:24,879 Speaker 2: you're telling me your own story? He said, I'll try. 399 00:22:25,520 --> 00:22:28,040 Speaker 2: So he goes over he's reading the script. I'll go 400 00:22:28,160 --> 00:22:30,240 Speaker 2: over to Andre Newellis. She's about to go to lunch. 401 00:22:30,240 --> 00:22:32,239 Speaker 2: I said, just give me one more second, just one 402 00:22:32,280 --> 00:22:34,080 Speaker 2: more second. She said, oh, did we forget a scene? 403 00:22:34,119 --> 00:22:35,600 Speaker 2: I said, it's a new scene. It's a new scene. 404 00:22:35,760 --> 00:22:37,040 Speaker 1: Just come here, and said, I was going to say, 405 00:22:37,080 --> 00:22:38,919 Speaker 1: what happened to the actor who was supposed to it 406 00:22:38,960 --> 00:22:39,639 Speaker 1: was never scripted? 407 00:22:40,080 --> 00:22:44,639 Speaker 3: Okay? Good felt that for no, No, that guy. 408 00:22:45,240 --> 00:22:48,359 Speaker 2: She sits down, he comes over. It was I said, 409 00:22:48,560 --> 00:22:51,000 Speaker 2: you think you can do it. He said, yeah, I'll try. 410 00:22:51,359 --> 00:22:54,800 Speaker 2: So he sits down and without a script, he's he's 411 00:22:54,840 --> 00:22:58,440 Speaker 2: he's interpreting the story of al Bright that he read 412 00:22:58,520 --> 00:23:02,159 Speaker 2: in the script, and he's saying he's putting himself in 413 00:23:02,200 --> 00:23:04,439 Speaker 2: the place, and he's saying, I was I was a 414 00:23:04,440 --> 00:23:08,280 Speaker 2: little boy. And he tells that story one take, Wow, 415 00:23:08,560 --> 00:23:13,119 Speaker 2: one take. He told that story with such love and 416 00:23:13,840 --> 00:23:16,879 Speaker 2: memory and just all that you see on the screen. 417 00:23:18,000 --> 00:23:20,480 Speaker 2: Real heck, tough. Grips on the set were like, I'm 418 00:23:20,480 --> 00:23:23,080 Speaker 2: not crying. It's fine, it's fine, it's no big deal. 419 00:23:23,760 --> 00:23:26,000 Speaker 2: Ange New starts to cry in the scene. She starts 420 00:23:26,000 --> 00:23:27,879 Speaker 2: to interview him. In the scene, they get to the 421 00:23:27,880 --> 00:23:31,199 Speaker 2: part where she says how old were you? And I'm like, 422 00:23:31,240 --> 00:23:33,280 Speaker 2: oh gosh, he's not gonna know how old. I didn't 423 00:23:33,280 --> 00:23:36,000 Speaker 2: put the age in the script. I know that Albright 424 00:23:36,080 --> 00:23:40,320 Speaker 2: was nine and the man said I was nine, nine 425 00:23:40,400 --> 00:23:49,160 Speaker 2: years old. Paul Garns is like, what's happening? And that's 426 00:23:49,240 --> 00:23:51,840 Speaker 2: what's there. A little maze, a little bit of actor, 427 00:23:51,880 --> 00:23:53,680 Speaker 2: a little bit of magic, a little bit of the unit. 428 00:23:53,760 --> 00:23:54,960 Speaker 3: That's such a great story. 429 00:23:58,880 --> 00:24:01,160 Speaker 1: We need to take a quick but when we come 430 00:24:01,200 --> 00:24:04,000 Speaker 1: back some audience, Q and A for Ava, and of 431 00:24:04,000 --> 00:24:06,320 Speaker 1: course I have some more questions of my own. 432 00:24:06,920 --> 00:24:07,800 Speaker 3: We'll be right back. 433 00:24:11,320 --> 00:24:13,439 Speaker 1: If you want to get smarter every morning with a 434 00:24:13,440 --> 00:24:16,720 Speaker 1: breakdown of the news and fascinating takes on health and 435 00:24:16,760 --> 00:24:20,120 Speaker 1: wellness and pop culture, sign up for our daily newsletter, 436 00:24:20,200 --> 00:24:28,760 Speaker 1: Wake Up Call by going to Katiecouric dot com. We're 437 00:24:28,800 --> 00:24:34,159 Speaker 1: back with the one and only Ava DuVernay. I wanted 438 00:24:34,160 --> 00:24:36,720 Speaker 1: to just have you say a couple of the acting 439 00:24:36,880 --> 00:24:41,600 Speaker 1: was so superb, So talk about Angeenue Ellis Taylor, who 440 00:24:41,640 --> 00:24:42,800 Speaker 1: played Isabelle. 441 00:24:42,960 --> 00:24:44,960 Speaker 3: She was in King Richard, Right. 442 00:24:45,080 --> 00:24:46,840 Speaker 2: She was nominated for the Wasn't she fantastic? 443 00:24:46,880 --> 00:24:48,959 Speaker 3: She played the Yeah, unbelievable. 444 00:24:49,280 --> 00:24:52,119 Speaker 2: She was nominated for the Oscar Best Supporting Actress for 445 00:24:52,200 --> 00:24:54,760 Speaker 2: King Richard Y Right, she played the Williams the wife. 446 00:24:56,040 --> 00:24:59,600 Speaker 1: Yeah and all right, anything you'd like to say about 447 00:24:59,600 --> 00:25:02,359 Speaker 1: her other then she was fantastic. I mean, she really 448 00:25:02,440 --> 00:25:03,480 Speaker 1: carried the whole movie. 449 00:25:03,680 --> 00:25:05,720 Speaker 2: Right, he's her movie. You know, it's the first time. 450 00:25:05,760 --> 00:25:09,400 Speaker 2: She's a woman close to my age, in her early fifties, 451 00:25:09,520 --> 00:25:12,359 Speaker 2: and she'd been working Love Carecraft Country. She was in 452 00:25:12,359 --> 00:25:16,640 Speaker 2: my film when they See Us, so many incredible parts 453 00:25:16,680 --> 00:25:19,560 Speaker 2: and had never been the lead in the film, and 454 00:25:19,600 --> 00:25:22,760 Speaker 2: so it really speaks to the disparity and opportunity for 455 00:25:22,840 --> 00:25:25,399 Speaker 2: black women actresses of a certain age, or of any age. 456 00:25:26,440 --> 00:25:29,399 Speaker 2: And so she took the She she took it, and 457 00:25:29,440 --> 00:25:31,760 Speaker 2: she ran with it. She was incredible to work with. 458 00:25:32,000 --> 00:25:34,880 Speaker 3: She was amazing. John Burnhal, who played. 459 00:25:34,640 --> 00:25:37,240 Speaker 2: John Burnhal, who I had only known as the Punisher, 460 00:25:38,760 --> 00:25:42,000 Speaker 2: and had such a when I met with him, such 461 00:25:42,040 --> 00:25:46,560 Speaker 2: an intelligence behind his eyes, a real passion for the 462 00:25:46,600 --> 00:25:50,240 Speaker 2: subject matter. He really cares about this. We could have intelligent, 463 00:25:50,280 --> 00:25:54,480 Speaker 2: thoughtful conversations about the subject matter, about the world. And 464 00:25:55,760 --> 00:25:58,760 Speaker 2: so we really connected. And he and I was looking 465 00:25:58,800 --> 00:26:03,520 Speaker 2: for someone who had enough wagger to play that crossing 466 00:26:03,600 --> 00:26:07,639 Speaker 2: the street scene of Hey, hey didn't did you? Didn't 467 00:26:07,640 --> 00:26:09,560 Speaker 2: you hear her? She doesn't want to put the thing 468 00:26:09,560 --> 00:26:14,199 Speaker 2: in the front yard. I needed that guy and so 469 00:26:14,960 --> 00:26:17,440 Speaker 2: and who could also say it's my birthday, Yeah, it's 470 00:26:17,480 --> 00:26:18,080 Speaker 2: my birthday. 471 00:26:18,119 --> 00:26:18,320 Speaker 4: You know. 472 00:26:18,400 --> 00:26:20,120 Speaker 2: The guy who could do both of those. 473 00:26:20,200 --> 00:26:22,240 Speaker 3: He was really He did it. Not as cute as 474 00:26:22,240 --> 00:26:23,320 Speaker 3: my husband John, but he. 475 00:26:23,280 --> 00:26:29,720 Speaker 1: Is really cute. I wanted to A fun fact though, 476 00:26:29,800 --> 00:26:33,399 Speaker 1: John Bernhal, which is so interesting, is the brother of 477 00:26:33,560 --> 00:26:38,880 Speaker 1: Ryl Samberg's husband Tom. I think bumper anyway, little trivia 478 00:26:38,960 --> 00:26:43,240 Speaker 1: for everyone. Niss Nash bets what I mean. Good lord, 479 00:26:43,440 --> 00:26:48,080 Speaker 1: she was so great, so funny, so movie y. 480 00:26:48,400 --> 00:26:48,600 Speaker 5: Yeah. 481 00:26:48,640 --> 00:26:51,720 Speaker 2: She always says, when I gave you the script, I said, yeah, 482 00:26:51,960 --> 00:26:53,399 Speaker 2: read the script, and I want you to bring a 483 00:26:53,400 --> 00:26:55,560 Speaker 2: little lightness, a little levity to it. She said, with 484 00:26:55,600 --> 00:26:59,000 Speaker 2: this script, she's like, girl, I'm gonna have to go 485 00:26:59,119 --> 00:27:01,600 Speaker 2: off book of places here or there. So she's one 486 00:27:01,640 --> 00:27:05,400 Speaker 2: of one of my dearest, dearest friends. And she actually 487 00:27:05,480 --> 00:27:07,960 Speaker 2: was shooting a television show that she's the lead on 488 00:27:08,600 --> 00:27:11,040 Speaker 2: and at the same time that we were shooting the film, 489 00:27:11,400 --> 00:27:14,040 Speaker 2: and she was able to get them to let her 490 00:27:14,160 --> 00:27:17,480 Speaker 2: be off every Friday, so she would work all week. 491 00:27:17,840 --> 00:27:20,400 Speaker 2: On Thursday nights, she'd take a red eye, she'd land 492 00:27:20,400 --> 00:27:23,200 Speaker 2: in Atlanta and then take a puddle jumper to Savannah. 493 00:27:23,400 --> 00:27:27,199 Speaker 2: She'd get into Savannah, she'd work all day, late night 494 00:27:27,280 --> 00:27:29,160 Speaker 2: until like three o'clock in the morning, and then she'd 495 00:27:29,200 --> 00:27:31,679 Speaker 2: fly back on Saturday and do it all again. She 496 00:27:31,720 --> 00:27:32,760 Speaker 2: did that for four weeks. 497 00:27:32,840 --> 00:27:33,640 Speaker 3: She was amazing. 498 00:27:33,720 --> 00:27:37,119 Speaker 1: And I asked David backstage, but she told me she 499 00:27:37,119 --> 00:27:39,680 Speaker 1: would tell me out here about Nick Offerman, who's one 500 00:27:39,680 --> 00:27:42,879 Speaker 1: of my favorite actors, because I thought in what was 501 00:27:42,920 --> 00:27:45,600 Speaker 1: the HBO series that he was in with the rest 502 00:27:45,640 --> 00:27:49,520 Speaker 1: of us. Yeah, I thought that episode so incredible. It 503 00:27:49,640 --> 00:27:52,080 Speaker 1: was one of the best piece of pieces of acting. 504 00:27:52,160 --> 00:27:54,639 Speaker 1: I've ever seen that episode, and if you all haven't 505 00:27:54,680 --> 00:27:56,280 Speaker 1: watched it, it's just amazing. 506 00:27:56,359 --> 00:27:57,639 Speaker 3: I hope they won an Emmy for that. 507 00:27:57,680 --> 00:27:59,600 Speaker 2: But anyway, we'll find out in a couple of weeks. 508 00:27:59,720 --> 00:28:02,440 Speaker 1: What did what did he think about playing a guy 509 00:28:02,480 --> 00:28:03,520 Speaker 1: I got plumber with him? 510 00:28:03,600 --> 00:28:04,359 Speaker 3: Maga hat. 511 00:28:04,520 --> 00:28:07,919 Speaker 2: Yeah, he had to tell this audience they're they're not 512 00:28:08,000 --> 00:28:10,359 Speaker 2: like us where they know the details of who every 513 00:28:10,359 --> 00:28:12,000 Speaker 2: actor is. You say, Nick. 514 00:28:11,880 --> 00:28:18,760 Speaker 1: Offerman, which Nick's Plumer? And how did he feel about 515 00:28:18,800 --> 00:28:20,879 Speaker 1: that role? I actually loved that scene. 516 00:28:21,000 --> 00:28:22,440 Speaker 2: I know a lot of people love that scene. A 517 00:28:22,480 --> 00:28:25,480 Speaker 2: lot of people really love that scene. He I'd worked 518 00:28:25,480 --> 00:28:27,560 Speaker 2: with him on a on a show I did for 519 00:28:27,800 --> 00:28:30,480 Speaker 2: Netflix called Colin and Black and White about Colin Kaepernick. 520 00:28:30,720 --> 00:28:32,560 Speaker 2: He played the father. Thank you. The one person who 521 00:28:32,600 --> 00:28:35,400 Speaker 2: watched it, thank you, thank you, ma'am. It was all 522 00:28:35,440 --> 00:28:39,760 Speaker 2: for you, mam, thank you. And and I loved him 523 00:28:39,760 --> 00:28:41,960 Speaker 2: and we got along so well. And the last thing 524 00:28:41,960 --> 00:28:44,000 Speaker 2: he told me after we left the set on the 525 00:28:44,080 --> 00:28:46,720 Speaker 2: last day of shooting Colin Black and White. He said, Hey, 526 00:28:46,840 --> 00:28:49,280 Speaker 2: if you ever need me, call me, and so he's like, 527 00:28:49,360 --> 00:28:50,920 Speaker 2: I'll be there, And so I called him. I said, 528 00:28:50,960 --> 00:28:54,480 Speaker 2: I need you, I need you one scene, just one scene. 529 00:28:54,520 --> 00:28:56,280 Speaker 2: Will you come in and do it for me? So 530 00:28:56,920 --> 00:29:01,160 Speaker 2: he he came. He did the one scene. He was incredible. 531 00:29:02,320 --> 00:29:04,320 Speaker 2: He didn't really get that I was going to put 532 00:29:04,360 --> 00:29:07,520 Speaker 2: the Maga hat on him until he had arrived and 533 00:29:07,920 --> 00:29:10,640 Speaker 2: he said, do you really want me to wear this? 534 00:29:10,760 --> 00:29:13,280 Speaker 2: I said, I really. I want to do some takes 535 00:29:13,320 --> 00:29:15,960 Speaker 2: with it and some takes without it. And he said, 536 00:29:16,960 --> 00:29:19,280 Speaker 2: does do the letters have to be this big? He's 537 00:29:19,360 --> 00:29:22,560 Speaker 2: very funny. He's very very funny. That is funny. It's 538 00:29:22,560 --> 00:29:25,160 Speaker 2: the next thing to say. And he put it on. 539 00:29:25,200 --> 00:29:27,160 Speaker 2: He got a little bit uncomfortable about it, but he's 540 00:29:27,200 --> 00:29:29,200 Speaker 2: an actor, so he figured it out. 541 00:29:29,320 --> 00:29:32,960 Speaker 1: But I did love the interplay between, you know, between 542 00:29:35,000 --> 00:29:38,800 Speaker 1: and Nick and they had a fun something really beautiful 543 00:29:39,240 --> 00:29:42,640 Speaker 1: that and how it brought everybody down to a level 544 00:29:42,760 --> 00:29:45,240 Speaker 1: just talking about parents and. 545 00:29:44,800 --> 00:29:47,040 Speaker 2: Talking about loss. Yeah, one thing we're all going to 546 00:29:47,120 --> 00:29:47,760 Speaker 2: have in common. 547 00:29:47,840 --> 00:29:50,640 Speaker 1: Right, How about any questions from the audience. I have 548 00:29:50,720 --> 00:29:53,080 Speaker 1: a few more, but I've gone way too long. But 549 00:29:53,240 --> 00:29:55,880 Speaker 1: here's one right up there. Do you see it? 550 00:29:55,920 --> 00:29:56,200 Speaker 2: You all? 551 00:29:56,480 --> 00:29:58,320 Speaker 3: Can you raise your hands so that people with the 552 00:29:58,360 --> 00:29:59,000 Speaker 3: mic can see you? 553 00:29:59,360 --> 00:30:01,240 Speaker 4: Thank you? My question. 554 00:30:01,560 --> 00:30:04,600 Speaker 6: I don't know how involved you are with the fundraising process. 555 00:30:04,640 --> 00:30:07,360 Speaker 6: I know we've talked a lot about the virtues and 556 00:30:07,400 --> 00:30:10,680 Speaker 6: how it allows you to do some of the great 557 00:30:10,680 --> 00:30:12,880 Speaker 6: work that you just displayed for us today. But to 558 00:30:12,960 --> 00:30:15,200 Speaker 6: the degree that you were involved, I wondered if you 559 00:30:15,200 --> 00:30:17,959 Speaker 6: can maybe tell us a little bit about the lessons 560 00:30:18,000 --> 00:30:20,520 Speaker 6: that you learned, maybe for others that might be considering 561 00:30:20,600 --> 00:30:23,400 Speaker 6: going down a similar path, and anything that you might 562 00:30:23,400 --> 00:30:24,160 Speaker 6: have done differently. 563 00:30:24,800 --> 00:30:27,400 Speaker 2: Thank you well. Like I say, I have to make 564 00:30:27,440 --> 00:30:30,080 Speaker 2: sure that I mentioned Regina Miller, who's the executive director 565 00:30:30,080 --> 00:30:33,320 Speaker 2: of Ray Alliance, who's really you know, the architect, along 566 00:30:33,360 --> 00:30:39,960 Speaker 2: with with our colleague Erica of of bringing it in. 567 00:30:40,120 --> 00:30:45,040 Speaker 2: You know. The idea for this came very simply. I 568 00:30:45,040 --> 00:30:48,080 Speaker 2: always watch PBS documentaries and I see at the end 569 00:30:48,120 --> 00:30:50,840 Speaker 2: of the documentaries with the support of the Ford Foundation 570 00:30:50,960 --> 00:30:53,320 Speaker 2: and the Da Da Da Da Da, and I always thought, 571 00:30:53,480 --> 00:30:56,000 Speaker 2: since I was in college, I wonder if they would 572 00:30:56,040 --> 00:31:01,920 Speaker 2: ever fund something else, a narrative film, and so, in 573 00:31:02,000 --> 00:31:04,800 Speaker 2: wanting to veer away from the studio system. We just asked. 574 00:31:05,280 --> 00:31:07,600 Speaker 2: The first place we went was a Ford Foundation and 575 00:31:07,600 --> 00:31:09,920 Speaker 2: we asked Darren Walker, who was one of our funders 576 00:31:10,000 --> 00:31:13,760 Speaker 2: at ARRAY, and he said, yes, we would consider that. 577 00:31:14,200 --> 00:31:16,880 Speaker 2: And that gave Regina and I the courage to continue 578 00:31:16,920 --> 00:31:20,000 Speaker 2: and to ask other funders and other like minded individuals, 579 00:31:20,480 --> 00:31:24,640 Speaker 2: and the process began very personal. It was very one 580 00:31:24,680 --> 00:31:27,160 Speaker 2: to one. It wasn't a submission of grants. So that 581 00:31:27,240 --> 00:31:28,880 Speaker 2: was a privilege that I enjoyed that a lot of 582 00:31:28,880 --> 00:31:31,320 Speaker 2: people wouldn't and that I was able to reach in 583 00:31:31,400 --> 00:31:33,920 Speaker 2: and speak with the women. Maverene, pal Jobs and Melinda 584 00:31:33,920 --> 00:31:39,920 Speaker 2: could speak with these people directly. But the paperwork and 585 00:31:40,120 --> 00:31:45,280 Speaker 2: the ninety thousand calls in ninety thousand meetings and it 586 00:31:45,320 --> 00:31:48,920 Speaker 2: was actually ninety thousand I counted that Regina Miller and 587 00:31:48,960 --> 00:31:53,520 Speaker 2: her team did to bring that to a bank account 588 00:31:53,520 --> 00:31:56,080 Speaker 2: that Paul Gardens could then write checks to make a 589 00:31:56,120 --> 00:32:00,480 Speaker 2: movie was an extraordinary amount of heavy lifting. I think 590 00:32:00,480 --> 00:32:03,400 Speaker 2: as we look back, we think it could have actually 591 00:32:03,400 --> 00:32:05,760 Speaker 2: been about half of that in the future. We just 592 00:32:05,760 --> 00:32:07,840 Speaker 2: didn't know what we were doing. We didn't know because 593 00:32:08,040 --> 00:32:11,160 Speaker 2: it hadn't been done, and the entities that we were 594 00:32:11,160 --> 00:32:14,040 Speaker 2: dealing with had never done it, So everything had to 595 00:32:14,040 --> 00:32:16,520 Speaker 2: be thought of anew, how does this work? What is 596 00:32:16,560 --> 00:32:18,920 Speaker 2: the structure? Who do we even ask? Can we say 597 00:32:19,000 --> 00:32:20,720 Speaker 2: yes to this? Did you say yes? 598 00:32:20,800 --> 00:32:20,920 Speaker 3: No? 599 00:32:20,960 --> 00:32:22,680 Speaker 2: I said yeah, no, he said yes, No. Run it 600 00:32:22,720 --> 00:32:24,479 Speaker 2: through again, you know. I mean it was just a 601 00:32:24,520 --> 00:32:27,520 Speaker 2: lot throughout the companies, and so I think now we 602 00:32:27,560 --> 00:32:29,239 Speaker 2: have much more of a handle on it. We can 603 00:32:29,280 --> 00:32:33,760 Speaker 2: probably cut down to forty five thousand calls. But it 604 00:32:33,800 --> 00:32:35,440 Speaker 2: was a lot of back and forth. I would just 605 00:32:35,480 --> 00:32:38,840 Speaker 2: say it was personal relationships, you know, and it was 606 00:32:38,880 --> 00:32:41,640 Speaker 2: cultivating those. And one of the things that I say 607 00:32:41,760 --> 00:32:44,320 Speaker 2: is you have to be prepared, you know, you have 608 00:32:44,360 --> 00:32:46,600 Speaker 2: to prepare the soil for when the moment comes that 609 00:32:46,680 --> 00:32:50,880 Speaker 2: you can ask and be so fully formed that the 610 00:32:51,040 --> 00:32:56,200 Speaker 2: ask feels logical. Like I had a non profit making 611 00:32:56,240 --> 00:32:58,920 Speaker 2: films and distributing films for the last decade. I mean, 612 00:32:58,960 --> 00:33:00,680 Speaker 2: we had the muscles. We were ready to do it. 613 00:33:00,720 --> 00:33:02,160 Speaker 2: If anyone was going to do it, it was going 614 00:33:02,200 --> 00:33:04,800 Speaker 2: to be us. And so when we asked or when 615 00:33:04,840 --> 00:33:08,440 Speaker 2: we offered the opportunity, it was too a company that 616 00:33:08,960 --> 00:33:14,080 Speaker 2: was strong, and so I wouldn't suggest that anyone just 617 00:33:14,160 --> 00:33:17,960 Speaker 2: jumps into what we did, but prepare the soil, and 618 00:33:19,400 --> 00:33:21,320 Speaker 2: you know, maybe folks come up with another model that 619 00:33:21,360 --> 00:33:23,960 Speaker 2: I can use, but I think this is a model 620 00:33:24,000 --> 00:33:27,320 Speaker 2: that eventually will get easier, and I think some of 621 00:33:27,320 --> 00:33:29,440 Speaker 2: the companies are even looking at ways to streamline it 622 00:33:29,440 --> 00:33:31,000 Speaker 2: and offer more of the star artists. 623 00:33:32,160 --> 00:33:34,360 Speaker 1: Do you all mind if I asked two more quick questions? 624 00:33:34,560 --> 00:33:38,200 Speaker 1: Is everybody okay? Because I just have? Well three? 625 00:33:38,320 --> 00:33:38,600 Speaker 2: Really? 626 00:33:39,520 --> 00:33:39,640 Speaker 3: So. 627 00:33:40,280 --> 00:33:43,040 Speaker 1: One of the things that struck me, especially the second 628 00:33:43,040 --> 00:33:47,280 Speaker 1: time watching this, is how relevant so many of the 629 00:33:47,360 --> 00:33:52,240 Speaker 1: scenes were and how they kind of how much they resonate. 630 00:33:52,360 --> 00:33:55,160 Speaker 1: I was thinking about the book burning, and I was 631 00:33:55,200 --> 00:33:56,760 Speaker 1: thinking about book banning. 632 00:33:57,200 --> 00:33:57,400 Speaker 3: You know. 633 00:33:57,520 --> 00:34:00,440 Speaker 1: Also when they were in the library in Berlin, I 634 00:34:00,520 --> 00:34:05,320 Speaker 1: was thinking about the anti semitism that was so you know, 635 00:34:05,720 --> 00:34:10,120 Speaker 1: heartbreakingly portrayed with the couple in Germany. I was thinking 636 00:34:10,160 --> 00:34:13,120 Speaker 1: about the Indian scholar. I'm sorry I forgot his name, 637 00:34:13,160 --> 00:34:17,879 Speaker 1: but Raj who was talking about sort of cast systems nationwide, 638 00:34:17,880 --> 00:34:20,960 Speaker 1: he mentioned or worldwide, He mentioned the Palestinians, and I 639 00:34:21,040 --> 00:34:24,760 Speaker 1: was just thinking, did that strike you Ava as well? 640 00:34:24,880 --> 00:34:31,080 Speaker 1: As these historical references had so much relevance today, all. 641 00:34:31,040 --> 00:34:34,440 Speaker 2: Of them done before before our current times. I mean, 642 00:34:34,440 --> 00:34:39,680 Speaker 2: we wrapped this film in till August, and so yes, 643 00:34:39,840 --> 00:34:43,960 Speaker 2: I think it really you know, people say, oh, this 644 00:34:43,640 --> 00:34:46,000 Speaker 2: this film is coming out the perfect time. You know, 645 00:34:46,360 --> 00:34:50,000 Speaker 2: it's meeting this moment. There's really not a moment. And 646 00:34:50,080 --> 00:34:53,719 Speaker 2: there's no moment. There's no time when we're not not 647 00:34:53,800 --> 00:34:56,839 Speaker 2: treating each other well, you know what I mean, there's 648 00:34:57,000 --> 00:35:01,160 Speaker 2: no moment. There's not been a time traced in the 649 00:35:01,239 --> 00:35:03,560 Speaker 2: last one hundred years where there hasn't been a war 650 00:35:03,640 --> 00:35:06,359 Speaker 2: happening somewhere in the world. Where there hasn't been there 651 00:35:06,360 --> 00:35:09,719 Speaker 2: haven't been people who are being treated unfairly, people who 652 00:35:09,800 --> 00:35:14,319 Speaker 2: are dying at the hands of terrible events and regimes. 653 00:35:14,840 --> 00:35:17,600 Speaker 2: So this work was going to meet I thought it 654 00:35:17,640 --> 00:35:19,640 Speaker 2: was going to be about the books, you know what 655 00:35:19,680 --> 00:35:22,120 Speaker 2: I mean. I thought, oh, this is about education and 656 00:35:22,560 --> 00:35:25,600 Speaker 2: withholding of education. I really thought that was going to 657 00:35:25,600 --> 00:35:28,759 Speaker 2: be the moment that it met, having no idea that 658 00:35:29,200 --> 00:35:31,560 Speaker 2: references or things that were in a film about cast 659 00:35:31,800 --> 00:35:34,560 Speaker 2: would meet another moment. And so I just feel, you know, 660 00:35:34,640 --> 00:35:37,200 Speaker 2: we had a similar thing with Selma. We made Sema. 661 00:35:37,239 --> 00:35:39,280 Speaker 2: It was about a small black town that was fighting 662 00:35:39,280 --> 00:35:41,799 Speaker 2: for their rights and at the same time Ferguson was 663 00:35:41,800 --> 00:35:44,520 Speaker 2: happening a small black town fighting for the rights. But 664 00:35:44,560 --> 00:35:46,759 Speaker 2: there's always a small black town fighting for the rights, 665 00:35:46,760 --> 00:35:49,040 Speaker 2: you know what I mean. And so it's just the 666 00:35:49,120 --> 00:35:52,200 Speaker 2: work is speaking to the culture, and the culture is 667 00:35:52,239 --> 00:35:53,040 Speaker 2: speaking to the work. 668 00:35:53,360 --> 00:35:56,840 Speaker 1: Do you hope that this you know, I noticed both 669 00:35:56,920 --> 00:36:02,600 Speaker 1: times that Isabelle Wilkerson are on news character talked about 670 00:36:02,840 --> 00:36:07,840 Speaker 1: how subjugation really isn't about race, which I have to 671 00:36:07,920 --> 00:36:10,440 Speaker 1: think about some more because to me, I think in 672 00:36:10,480 --> 00:36:14,960 Speaker 1: many ways race probably exacerbates or amplifies that kind of 673 00:36:15,080 --> 00:36:18,680 Speaker 1: need for the fact that some groups try to dominate others. 674 00:36:18,719 --> 00:36:21,920 Speaker 1: But I'm going to have to actually readcasts which I 675 00:36:21,960 --> 00:36:25,040 Speaker 1: haven't read. But do you think this will open up 676 00:36:25,160 --> 00:36:31,160 Speaker 1: a different conversation about race in America? And how do 677 00:36:31,200 --> 00:36:33,680 Speaker 1: you think it will will do that? Because this, to 678 00:36:33,760 --> 00:36:38,640 Speaker 1: me is about dominance and superiority, And how do you 679 00:36:38,640 --> 00:36:40,839 Speaker 1: think it will reframe these conversations? 680 00:36:40,920 --> 00:36:43,920 Speaker 2: Ava, I think you're exactly right. It's about dominance, It's 681 00:36:43,960 --> 00:36:47,440 Speaker 2: about power. It's about the hierarchy of human beings, so 682 00:36:47,480 --> 00:36:50,520 Speaker 2: that some are dominant have power and some are subordinate 683 00:36:50,560 --> 00:36:55,160 Speaker 2: and don't. And that is goes far beyond race, you know, 684 00:36:55,239 --> 00:36:57,520 Speaker 2: it goes far beyond race. You can apply that to gender. 685 00:36:57,600 --> 00:37:01,120 Speaker 2: You can apply that to sexual you can apply that 686 00:37:01,200 --> 00:37:04,640 Speaker 2: to physical ability, You can apply that to so many 687 00:37:04,680 --> 00:37:08,279 Speaker 2: ways that we create hierarchies for human beings based on 688 00:37:08,320 --> 00:37:12,000 Speaker 2: a random set of traits that we have no control over. 689 00:37:12,960 --> 00:37:16,960 Speaker 2: If you have no control over the circumstances of your birth, none, 690 00:37:17,480 --> 00:37:21,080 Speaker 2: but our society says, because you were born that way, 691 00:37:21,280 --> 00:37:23,880 Speaker 2: you go in this box and I label that, and 692 00:37:23,920 --> 00:37:26,120 Speaker 2: I know what you are and who you are inside. 693 00:37:26,480 --> 00:37:28,000 Speaker 2: You would look at me as a black woman from 694 00:37:28,000 --> 00:37:31,080 Speaker 2: Compton and wouldn't possibly think that I'm the world's biggest 695 00:37:31,080 --> 00:37:34,319 Speaker 2: you two fan. I mean, no one's bigger than me. 696 00:37:34,520 --> 00:37:37,319 Speaker 2: There is no one who loves Bono in the Edge 697 00:37:37,360 --> 00:37:40,839 Speaker 2: and Larry Moans Junior more than me. But you think 698 00:37:40,880 --> 00:37:43,279 Speaker 2: you might know me because of who I am and 699 00:37:43,320 --> 00:37:46,080 Speaker 2: where I'm from based on a random set of circumstances. 700 00:37:46,080 --> 00:37:48,080 Speaker 3: That's cash and what you look up and what you 701 00:37:48,120 --> 00:37:48,600 Speaker 3: look like. 702 00:37:48,719 --> 00:37:49,960 Speaker 2: And what I'm looking like. I don't look like a 703 00:37:50,000 --> 00:37:54,720 Speaker 2: YouTube fan. This is what it looks like. You look good, yes, 704 00:37:54,840 --> 00:37:57,960 Speaker 2: but you know so. I hope to your question, I 705 00:37:58,000 --> 00:38:01,040 Speaker 2: hope that it opens up people's thoughts about way more 706 00:38:01,080 --> 00:38:04,040 Speaker 2: than race. Yes, absolutely, thinking about race and new ways 707 00:38:04,239 --> 00:38:06,640 Speaker 2: and thinking about the things that race is built upon. 708 00:38:07,000 --> 00:38:09,680 Speaker 2: Why haven't we been able to solve the race question? 709 00:38:10,120 --> 00:38:11,320 Speaker 2: Are we asking the right question? 710 00:38:11,440 --> 00:38:16,200 Speaker 1: And the social constructs that maintain a cast. 711 00:38:15,680 --> 00:38:17,480 Speaker 2: Stem absolutely across the board. 712 00:38:17,560 --> 00:38:20,560 Speaker 1: Before we go, tell me about Seat sixteen, which is 713 00:38:20,640 --> 00:38:23,520 Speaker 1: the impact campaign that's happening alongside the film. 714 00:38:23,640 --> 00:38:26,960 Speaker 2: Yeah, Seat sixteen is what that is up there, And 715 00:38:27,040 --> 00:38:31,759 Speaker 2: basically it is, there's four million, four and a half 716 00:38:31,760 --> 00:38:34,640 Speaker 2: million sixteen year olds in the country right now, I think, 717 00:38:35,480 --> 00:38:37,239 Speaker 2: and I believe, and there's a lot of data that 718 00:38:37,360 --> 00:38:41,440 Speaker 2: suggests that sixteen is the sweet spot. That's the age 719 00:38:41,440 --> 00:38:45,279 Speaker 2: where you start to organize your thoughts about who you 720 00:38:45,480 --> 00:38:48,480 Speaker 2: are in the world and what your place in the 721 00:38:48,520 --> 00:38:50,680 Speaker 2: world is, what the world means to you. You start 722 00:38:50,719 --> 00:38:53,040 Speaker 2: to open up and it starts to become a little 723 00:38:53,120 --> 00:38:56,880 Speaker 2: less about only individual thoughts and more about, you know, 724 00:38:58,040 --> 00:39:01,000 Speaker 2: the way that society is organized. And so I feel like, 725 00:39:01,040 --> 00:39:03,600 Speaker 2: if we can get that fifteen sixteen year old to 726 00:39:03,640 --> 00:39:06,719 Speaker 2: see the film and we can plant some of the 727 00:39:06,719 --> 00:39:10,399 Speaker 2: seeds about cast and get this terminology, the language into 728 00:39:10,440 --> 00:39:15,200 Speaker 2: their thinking, now the earth might tilt a little bit 729 00:39:15,239 --> 00:39:18,480 Speaker 2: towards justice. If you have a whole generation of people 730 00:39:18,880 --> 00:39:21,279 Speaker 2: who can speak about our ills in a different way. 731 00:39:21,680 --> 00:39:25,600 Speaker 2: So set up with things called seat sixteen, not sweet sixteen, 732 00:39:25,640 --> 00:39:28,920 Speaker 2: isn't it cute? Seat sixteen? Because they're not going to 733 00:39:29,000 --> 00:39:31,359 Speaker 2: pay for it on their own. So you can buy 734 00:39:31,360 --> 00:39:34,040 Speaker 2: a ticket for a sixteen year old and we'll give 735 00:39:34,080 --> 00:39:36,000 Speaker 2: a free ticket to the kid and they can go 736 00:39:36,040 --> 00:39:39,600 Speaker 2: see the movie. It's really really simple. So it's sixteen dollars. 737 00:39:40,320 --> 00:39:43,400 Speaker 2: They get the ticket, they get a learning companion, and 738 00:39:44,200 --> 00:39:46,880 Speaker 2: hopefully they have a new vocabulary to think about the 739 00:39:46,920 --> 00:39:49,200 Speaker 2: things that we're leaving them with. You know, our generation 740 00:39:49,400 --> 00:39:54,840 Speaker 2: is leaving quite a mess. They're stepping into a lot, 741 00:39:54,880 --> 00:39:57,160 Speaker 2: and so I hope that this film can give some 742 00:39:57,280 --> 00:39:59,520 Speaker 2: organizing principles to young people as to how to think 743 00:39:59,560 --> 00:40:03,720 Speaker 2: about proceeding Set sixteen, Bye kids, sixteen dollar ticket. 744 00:40:04,400 --> 00:40:05,240 Speaker 3: That's a great idea. 745 00:40:05,360 --> 00:40:08,520 Speaker 1: Hey, simple, David DuVernay, thank you so so much. 746 00:40:08,360 --> 00:40:09,120 Speaker 2: Thank you so much. 747 00:40:09,120 --> 00:40:11,040 Speaker 3: Congratulation, appreciate it. 748 00:40:15,840 --> 00:40:18,840 Speaker 1: After this quick break, more from the amazing team that 749 00:40:18,920 --> 00:40:22,440 Speaker 1: helped bring Origin to the big screen. That's right after this. 750 00:40:31,840 --> 00:40:35,000 Speaker 1: We're back with more from the amazing team that helped 751 00:40:35,000 --> 00:40:39,480 Speaker 1: bring Origin to the big screen. Please welcome to the stage, 752 00:40:39,520 --> 00:40:44,279 Speaker 1: Paul Garnes. He's President of Array film Works, Tom Hall, 753 00:40:44,400 --> 00:40:49,080 Speaker 1: Global head of Social Impact in Philanthropy for UBS, and 754 00:40:49,080 --> 00:40:54,960 Speaker 1: Regina Miller, executive director of the Array Alliance, the nonprofit 755 00:40:55,800 --> 00:40:58,120 Speaker 1: arm of Array film Works. 756 00:40:58,200 --> 00:41:00,399 Speaker 3: So here they are welcome. Hi. 757 00:41:00,760 --> 00:41:03,080 Speaker 1: All right, So Paul, let's start with you. I know 758 00:41:03,160 --> 00:41:07,520 Speaker 1: that you have been working with Ava Dubernet since twenty eleven, 759 00:41:08,239 --> 00:41:11,560 Speaker 1: and over the last twelve years you've witnessed some pretty 760 00:41:11,600 --> 00:41:16,319 Speaker 1: significant shifts in the way Hollywood does business and the 761 00:41:16,360 --> 00:41:20,040 Speaker 1: way films are financed. So can you set the stage 762 00:41:20,040 --> 00:41:24,880 Speaker 1: and explain to everyone sort of the position that filmmakers 763 00:41:25,000 --> 00:41:29,279 Speaker 1: are finding themselves in in the current streaming environment or 764 00:41:29,640 --> 00:41:31,960 Speaker 1: the entertainment environment rit large. 765 00:41:32,200 --> 00:41:34,520 Speaker 7: Sure, I mean, I'm sure many people here have heard 766 00:41:34,600 --> 00:41:40,800 Speaker 7: about the recently resolved labor contract that crippled the entertainment 767 00:41:40,800 --> 00:41:44,719 Speaker 7: industry for the last eight months. It's indicative of an 768 00:41:44,760 --> 00:41:49,560 Speaker 7: overall trend as we've tried to figure out new ways 769 00:41:49,600 --> 00:41:54,239 Speaker 7: and new business models to produce content deliver it to 770 00:41:54,280 --> 00:41:59,360 Speaker 7: an audience for a price, and streaming has really challenged it. 771 00:41:59,360 --> 00:42:03,759 Speaker 7: It's really rode it away what has historically been the 772 00:42:03,800 --> 00:42:07,120 Speaker 7: independent film model, where in the past we would go 773 00:42:07,239 --> 00:42:09,560 Speaker 7: out raise money, make a movie and then you end 774 00:42:09,640 --> 00:42:12,800 Speaker 7: up in this marketplace where you're just kind of dealing 775 00:42:12,800 --> 00:42:16,360 Speaker 7: with bidders and people try to get your product. Streaming 776 00:42:16,440 --> 00:42:19,759 Speaker 7: really has changed that because they don't buy just a 777 00:42:19,840 --> 00:42:22,320 Speaker 7: bit of the rights. If you go to a streamer, 778 00:42:22,680 --> 00:42:25,640 Speaker 7: they take all the rights forever. And so it makes 779 00:42:25,680 --> 00:42:29,600 Speaker 7: it very difficult for an independent film, which is usually 780 00:42:29,680 --> 00:42:34,120 Speaker 7: make on pure speculation, to really make its money back 781 00:42:34,200 --> 00:42:39,480 Speaker 7: and or give it an opportunity to move forward into 782 00:42:39,480 --> 00:42:42,600 Speaker 7: another production right after that. And so a lot of 783 00:42:42,600 --> 00:42:44,839 Speaker 7: times we end up in the studio system, which is, 784 00:42:45,239 --> 00:42:48,280 Speaker 7: you know, the normal way to make movies. The challenge 785 00:42:48,280 --> 00:42:50,080 Speaker 7: is when you want to make a movie that has 786 00:42:50,160 --> 00:42:52,600 Speaker 7: a particular statement and you want to do it in 787 00:42:52,600 --> 00:42:56,200 Speaker 7: a particular way. The strings that come along with that 788 00:42:56,320 --> 00:43:01,120 Speaker 7: process is that there's a lot of input on what 789 00:43:01,200 --> 00:43:04,600 Speaker 7: you show, who you hire to show it, who the 790 00:43:04,600 --> 00:43:06,960 Speaker 7: person that should be the one to say it. It's 791 00:43:07,040 --> 00:43:09,040 Speaker 7: all about the cooks in the kitchen, the cooks in 792 00:43:09,080 --> 00:43:09,520 Speaker 7: the kitchen. 793 00:43:09,600 --> 00:43:14,240 Speaker 1: And also streamers currently are contracting, right they were buying, buying, 794 00:43:14,360 --> 00:43:15,920 Speaker 1: buying suddenly, yeah, and. 795 00:43:15,840 --> 00:43:18,320 Speaker 7: The industry is shrinking right right now. Yeah. 796 00:43:18,360 --> 00:43:21,480 Speaker 1: And I know initially this film was with Netflix, but 797 00:43:22,000 --> 00:43:25,359 Speaker 1: you all decided you wanted to take it back at 798 00:43:25,400 --> 00:43:29,239 Speaker 1: full control, and you noticed that Netflix were kind of 799 00:43:29,280 --> 00:43:32,680 Speaker 1: that the folks at Netflix were slow moving. So what 800 00:43:32,920 --> 00:43:35,919 Speaker 1: was the rationale and how much courage did it take 801 00:43:36,000 --> 00:43:38,160 Speaker 1: for you all to say, wait a second, we're going 802 00:43:38,239 --> 00:43:40,680 Speaker 1: to take this project back and we're going to run 803 00:43:41,200 --> 00:43:41,680 Speaker 1: run with it. 804 00:43:41,880 --> 00:43:43,920 Speaker 7: Yeah, when we first started, we thought it was going 805 00:43:43,960 --> 00:43:45,840 Speaker 7: to be a traditional like it's going to Netflix, and 806 00:43:45,880 --> 00:43:49,399 Speaker 7: we had done projects with Netflix before and so as 807 00:43:49,440 --> 00:43:51,360 Speaker 7: a partner, we thought this would be a good place 808 00:43:51,400 --> 00:43:54,239 Speaker 7: for it. But as you mentioned, the industry started to 809 00:43:54,239 --> 00:43:58,440 Speaker 7: slow down last year to a point where shows that 810 00:43:58,560 --> 00:44:01,240 Speaker 7: would have been greenlit, which means that they were given 811 00:44:01,239 --> 00:44:04,480 Speaker 7: to go to move forward, we're getting now the flashing 812 00:44:04,560 --> 00:44:09,840 Speaker 7: yellow And from our standpoint, and what Avera really wanted 813 00:44:09,840 --> 00:44:12,120 Speaker 7: for this film was for it to be out now, 814 00:44:12,640 --> 00:44:16,040 Speaker 7: to be in the marketplace, to be in theaters for 815 00:44:16,160 --> 00:44:20,720 Speaker 7: people to see and talk about, far before the election 816 00:44:20,840 --> 00:44:22,160 Speaker 7: cycles and all those things. 817 00:44:22,520 --> 00:44:25,520 Speaker 1: So, Regina, I know that you all raised thirty eight 818 00:44:25,600 --> 00:44:30,560 Speaker 1: million dollars from philanthropists and various foundations to get this 819 00:44:30,680 --> 00:44:36,040 Speaker 1: film made, And why did you think approaching these stakeholders, 820 00:44:36,080 --> 00:44:39,839 Speaker 1: if you will, would be your solution? To getting this 821 00:44:39,960 --> 00:44:41,600 Speaker 1: movie made. 822 00:44:42,520 --> 00:44:48,000 Speaker 5: First of all, philanthropy is changing, and the philanthropists of 823 00:44:48,080 --> 00:44:53,400 Speaker 5: today are looking for innovative ways to invest, both through 824 00:44:54,000 --> 00:44:59,920 Speaker 5: program mission related investments PRIs or MRIs through their endowments, 825 00:45:00,040 --> 00:45:03,480 Speaker 5: and then they're also looking to put their philanthropic dollars 826 00:45:03,520 --> 00:45:07,800 Speaker 5: to work in meaningful ways. And we have a visionary 827 00:45:08,239 --> 00:45:12,120 Speaker 5: and Ava DuVernay is extraordinary, and she had a clear vision. 828 00:45:12,760 --> 00:45:17,000 Speaker 5: And fundraising is easy when you can go to funders 829 00:45:17,120 --> 00:45:20,400 Speaker 5: with confidence and clarity of what you want to achieve, 830 00:45:21,040 --> 00:45:24,440 Speaker 5: and she was clear. And it was impact from the 831 00:45:24,520 --> 00:45:27,759 Speaker 5: beginning to the end, not just a marketing campaign for 832 00:45:27,840 --> 00:45:31,399 Speaker 5: two weeks. It was infusing that into everything we do, 833 00:45:31,520 --> 00:45:34,319 Speaker 5: how we treat communities when we go in there, how 834 00:45:34,360 --> 00:45:37,440 Speaker 5: we leave them better than we found them, and also 835 00:45:38,080 --> 00:45:42,160 Speaker 5: how to put philanthropic dollars into action to really have 836 00:45:42,360 --> 00:45:44,319 Speaker 5: change immediately, because we can't wait. 837 00:45:44,719 --> 00:45:47,000 Speaker 1: And the film is really just the beginning. You know, 838 00:45:47,000 --> 00:45:52,279 Speaker 1: it's community screenings, it's education conversations. Is this really that 839 00:45:52,440 --> 00:45:56,359 Speaker 1: new a business model or is this similar to what PBS, 840 00:45:56,400 --> 00:45:58,960 Speaker 1: for example, has been doing for decades. 841 00:46:00,560 --> 00:46:06,239 Speaker 7: Certainly, I think philanthropic relationships in creating documentaries has been 842 00:46:06,320 --> 00:46:09,200 Speaker 7: a very known model, but when you cross it over 843 00:46:09,280 --> 00:46:13,840 Speaker 7: into the narrative feature world, it is unique, and so 844 00:46:13,880 --> 00:46:16,440 Speaker 7: it's exciting to see kind of what the take is 845 00:46:16,480 --> 00:46:17,440 Speaker 7: from that experience. 846 00:46:17,960 --> 00:46:21,120 Speaker 5: And also, when everybody comes out to see this movie 847 00:46:21,239 --> 00:46:24,040 Speaker 5: and the box office does well, not only WOUL the 848 00:46:24,080 --> 00:46:26,919 Speaker 5: social impact investors make their money back and then some 849 00:46:27,320 --> 00:46:30,759 Speaker 5: but philanthropy will be reinvested in through our grants that 850 00:46:30,800 --> 00:46:33,719 Speaker 5: we put into the movie. And now those grants can 851 00:46:33,880 --> 00:46:37,640 Speaker 5: keep generating more and more towards impacting our mission. So 852 00:46:37,800 --> 00:46:40,960 Speaker 5: the way that the synergy between social impact investing and 853 00:46:40,960 --> 00:46:45,480 Speaker 5: philanthropy is going to keep feeding the mission is beautiful 854 00:46:45,640 --> 00:46:47,200 Speaker 5: and it's continuous. 855 00:46:47,280 --> 00:46:49,960 Speaker 1: It's like a virtual circle, right, And Tom, can you 856 00:46:50,040 --> 00:46:56,080 Speaker 1: break down this concept of catalytic capital and what that 857 00:46:56,160 --> 00:46:57,040 Speaker 1: means exactly? 858 00:46:57,440 --> 00:46:59,360 Speaker 8: Yeah, maybe, just before I do that, I think just 859 00:46:59,400 --> 00:47:02,120 Speaker 8: to kind of fried context to why UBS is sitting here. 860 00:47:02,120 --> 00:47:05,800 Speaker 8: And you know, we have a million oworth clients around 861 00:47:05,840 --> 00:47:08,840 Speaker 8: the world, and that's also a million philanthropists. We know 862 00:47:08,880 --> 00:47:12,480 Speaker 8: that ninety percent of our clients are already involved in philanthropy, 863 00:47:12,560 --> 00:47:14,919 Speaker 8: and in fact they say that they want to try 864 00:47:14,920 --> 00:47:18,840 Speaker 8: and solve the pressing social and environmental problems the world's facing. 865 00:47:19,560 --> 00:47:22,600 Speaker 8: But the reality is that philanthropy on its own can't 866 00:47:22,600 --> 00:47:25,480 Speaker 8: do that. Forbes estimated that philanthropy are about ten trillion 867 00:47:25,480 --> 00:47:27,120 Speaker 8: dollars by the mid twenty thirties. 868 00:47:27,160 --> 00:47:29,200 Speaker 4: That's a really big number. That's five times what it 869 00:47:29,239 --> 00:47:29,680 Speaker 4: is today. 870 00:47:30,239 --> 00:47:32,480 Speaker 8: But if we take the sustainable development goals as a 871 00:47:32,520 --> 00:47:35,759 Speaker 8: proxy for solving these big social environmental issues, we need 872 00:47:35,840 --> 00:47:38,759 Speaker 8: thirty trillion. So if we try and give people free 873 00:47:38,760 --> 00:47:41,319 Speaker 8: healthcare or free education, the money is just going to 874 00:47:41,360 --> 00:47:43,399 Speaker 8: run out. So we have to use it catalytically, which 875 00:47:43,400 --> 00:47:44,759 Speaker 8: is why I fully agree with you. 876 00:47:44,760 --> 00:47:46,120 Speaker 4: Philanthropy is changing. It's innovating. 877 00:47:46,160 --> 00:47:50,440 Speaker 8: People want to see their capital innovating first and foremost, 878 00:47:50,920 --> 00:47:53,799 Speaker 8: but then those innovations going to scale, and there's really 879 00:47:53,800 --> 00:47:55,120 Speaker 8: only two pathways to scale. 880 00:47:55,160 --> 00:47:56,520 Speaker 4: You can use your philanthropic dollars. 881 00:47:56,520 --> 00:47:59,600 Speaker 8: For example, many people might not know we're all sitting 882 00:47:59,640 --> 00:48:03,520 Speaker 8: back here in this theater because the rn D for 883 00:48:03,560 --> 00:48:07,160 Speaker 8: the vaccine development the COVID vaccines was done with philanthropic capital. 884 00:48:07,200 --> 00:48:09,319 Speaker 8: It was a risk that the market would never have 885 00:48:09,360 --> 00:48:11,919 Speaker 8: taken on its own, but that was then scaled through 886 00:48:11,920 --> 00:48:13,879 Speaker 8: investment capital at the right time for all of us. 887 00:48:14,120 --> 00:48:16,600 Speaker 8: So that's one pathway that you can be truly catalytic. 888 00:48:16,960 --> 00:48:19,320 Speaker 8: The other is that you can also you know, idea 889 00:48:20,000 --> 00:48:23,760 Speaker 8: new business models around maybe early child development or children 890 00:48:23,880 --> 00:48:26,480 Speaker 8: learning more efficiently, more effectively, and then you can get 891 00:48:26,480 --> 00:48:29,359 Speaker 8: governments to adopt that. In fact, just earlier this week 892 00:48:29,480 --> 00:48:32,440 Speaker 8: we I was at cop and we had several global 893 00:48:32,440 --> 00:48:37,520 Speaker 8: governments agreeing to fund some treatments around neglected tropical diseases 894 00:48:37,520 --> 00:48:40,120 Speaker 8: that have been ideated with philanthropic dollars. Then we raised 895 00:48:40,160 --> 00:48:42,040 Speaker 8: just under a billion dollars as announced last week. So 896 00:48:42,080 --> 00:48:44,520 Speaker 8: you can really move huge amounts of capital into things 897 00:48:44,560 --> 00:48:48,920 Speaker 8: that work by thinking catalytically, thinking with scale in mind, 898 00:48:49,160 --> 00:48:51,120 Speaker 8: and that's what it's all about. And that's obviously very 899 00:48:51,120 --> 00:48:54,920 Speaker 8: exciting for philanthropists to be part of really solving issues 900 00:48:54,960 --> 00:48:55,400 Speaker 8: at scale. 901 00:48:55,640 --> 00:48:58,560 Speaker 1: So you sort of start micro and then expand it 902 00:48:58,719 --> 00:49:02,759 Speaker 1: to on a much scale. Paul, how do you measure success? 903 00:49:03,280 --> 00:49:06,759 Speaker 1: You know, when it comes to the impact of this film. 904 00:49:06,800 --> 00:49:10,480 Speaker 1: I mean Regina mentioned box office, but is that really 905 00:49:10,680 --> 00:49:13,600 Speaker 1: how you're going to measure success? I mean, how much 906 00:49:13,600 --> 00:49:16,680 Speaker 1: of it is returning capital and how much of it 907 00:49:16,760 --> 00:49:20,280 Speaker 1: is changing hearts and minds and just having a huge 908 00:49:20,680 --> 00:49:22,279 Speaker 1: impact on attitudes. 909 00:49:22,560 --> 00:49:26,960 Speaker 7: Sure, yeah, I think impact and success really go hand 910 00:49:27,000 --> 00:49:32,320 Speaker 7: in hand in this case. Obviously, the traditional successful conversation 911 00:49:32,440 --> 00:49:34,840 Speaker 7: after a movie comes out is how much money it makes. 912 00:49:35,800 --> 00:49:40,000 Speaker 7: That's what everyone you know, focuses on. But at its core, 913 00:49:40,200 --> 00:49:42,560 Speaker 7: one thing that we are really excited about with this 914 00:49:42,600 --> 00:49:45,680 Speaker 7: particular movie is this is a movie based on a 915 00:49:45,719 --> 00:49:51,799 Speaker 7: book called Cast that is banned in many states. And 916 00:49:51,840 --> 00:49:55,200 Speaker 7: so the idea that you also now can introduce a 917 00:49:55,280 --> 00:49:58,760 Speaker 7: movie that won't be banned, and kids in high school 918 00:49:58,800 --> 00:50:00,719 Speaker 7: who go to a school whe they can't read the 919 00:50:00,760 --> 00:50:05,640 Speaker 7: book Cast to understand the complexities of this conversation could 920 00:50:05,640 --> 00:50:07,160 Speaker 7: go to the movie and see it and still have 921 00:50:07,239 --> 00:50:11,359 Speaker 7: that conversation. And so I think when you look at success, 922 00:50:11,640 --> 00:50:13,880 Speaker 7: it is really for us based on the impact the 923 00:50:13,920 --> 00:50:17,359 Speaker 7: film can have. And you either walk away thinking, you know, wow, 924 00:50:17,400 --> 00:50:20,399 Speaker 7: this really means something to it, or you walk away 925 00:50:20,400 --> 00:50:22,640 Speaker 7: and say, you know, not even realize that you've planted 926 00:50:22,680 --> 00:50:25,759 Speaker 7: a seed there. And when someone gets into a situation 927 00:50:25,840 --> 00:50:29,400 Speaker 7: where the idea of Cast comes up in their regular life, 928 00:50:29,440 --> 00:50:31,880 Speaker 7: it's there. It's planted, and it can come out and 929 00:50:31,920 --> 00:50:34,960 Speaker 7: hopefully grow into something useful to society. 930 00:50:35,080 --> 00:50:39,480 Speaker 1: But how important is it, Paul that this film makes money? 931 00:50:39,640 --> 00:50:42,239 Speaker 7: It's very important that it makes money, you know, not 932 00:50:42,840 --> 00:50:45,240 Speaker 7: because I mean the good news is we've made the movie, 933 00:50:46,080 --> 00:50:49,319 Speaker 7: not because the return helps us make the movie, but 934 00:50:49,840 --> 00:50:53,200 Speaker 7: making money means that people are seeing it, and so 935 00:50:53,360 --> 00:50:56,760 Speaker 7: for us really pushing it out there, it helps recoup 936 00:50:56,800 --> 00:50:59,720 Speaker 7: the investment for our investors, but it really does fulfill 937 00:50:59,840 --> 00:51:02,320 Speaker 7: the other side of it. They go hand in hand, 938 00:51:02,440 --> 00:51:03,160 Speaker 7: the impact. 939 00:51:03,719 --> 00:51:04,680 Speaker 3: Tom, I'm curious. 940 00:51:04,719 --> 00:51:06,960 Speaker 1: You know, my husband and I started a media company 941 00:51:07,000 --> 00:51:10,320 Speaker 1: about five years ago, and we work with global purpose 942 00:51:10,480 --> 00:51:14,279 Speaker 1: driven brands. So it's not just sort of the philanthropists 943 00:51:14,680 --> 00:51:17,800 Speaker 1: who are or the you know, the private wealth folks 944 00:51:17,920 --> 00:51:21,800 Speaker 1: in a bank like UBS or a financial institution like UBS. 945 00:51:22,280 --> 00:51:26,520 Speaker 1: Companies are now getting much more involved in putting their 946 00:51:26,600 --> 00:51:31,440 Speaker 1: sort of mark on big, thorny social issues because consumers 947 00:51:31,480 --> 00:51:35,680 Speaker 1: are demanding it, their employees are demanding it. So do 948 00:51:35,719 --> 00:51:40,520 Speaker 1: you think that this model where corporations get more involved 949 00:51:40,719 --> 00:51:44,239 Speaker 1: in things like a film that has such an important 950 00:51:44,320 --> 00:51:49,400 Speaker 1: social message will continue and even grow in the marketplace. 951 00:51:50,239 --> 00:51:53,080 Speaker 8: I mean, I think it's essential that that's what corporations do. 952 00:51:53,239 --> 00:51:56,520 Speaker 8: And ultimately, you know, when we think about impact, you know, 953 00:51:57,080 --> 00:51:58,799 Speaker 8: it can sound like we're trying to talk about doing 954 00:51:58,840 --> 00:52:00,200 Speaker 8: the right thing because it's the right thing do. 955 00:52:00,520 --> 00:52:02,000 Speaker 4: But actually there's another way to frame it. 956 00:52:02,280 --> 00:52:04,360 Speaker 8: If we meet the sustainable animal goals again, which I 957 00:52:04,440 --> 00:52:07,040 Speaker 8: use as a proxy for really addressing these issues around 958 00:52:07,200 --> 00:52:10,160 Speaker 8: social and economic inequality and making sure people can achieve 959 00:52:10,200 --> 00:52:13,120 Speaker 8: their potential. We're talking about adding three hundred and eighty 960 00:52:13,200 --> 00:52:16,600 Speaker 8: million new jobs the global economy and twelve trillion of 961 00:52:16,760 --> 00:52:17,760 Speaker 8: global value. 962 00:52:17,840 --> 00:52:18,040 Speaker 4: Right. 963 00:52:18,440 --> 00:52:21,160 Speaker 8: The growth is going to come from us actually finding 964 00:52:21,200 --> 00:52:25,680 Speaker 8: ways to finance and really enable people to get something 965 00:52:25,719 --> 00:52:28,720 Speaker 8: like education. I mean, actually just really interested in the audience. 966 00:52:28,800 --> 00:52:33,239 Speaker 8: Maybe raise your hand if you went to college or university. Yeah, 967 00:52:33,280 --> 00:52:35,880 Speaker 8: probably most of us would think that that was contingent 968 00:52:35,920 --> 00:52:38,560 Speaker 8: on our success. And then again, maybe raise your hand 969 00:52:38,600 --> 00:52:40,359 Speaker 8: if you had to take some kind of student loan. 970 00:52:41,520 --> 00:52:43,600 Speaker 8: Did anyone pay more than twenty percent on their loan? 971 00:52:44,160 --> 00:52:46,320 Speaker 4: Anyone here? Just one person? 972 00:52:46,640 --> 00:52:52,000 Speaker 8: So today globally, right, there's about five one hundred million 973 00:52:52,040 --> 00:52:53,520 Speaker 8: people who can't. 974 00:52:53,280 --> 00:52:54,880 Speaker 4: Get access to basic student credit. 975 00:52:54,920 --> 00:52:58,719 Speaker 8: Their only option is to if they're not lucky enough 976 00:52:58,760 --> 00:53:00,000 Speaker 8: to be one on a million to get a scholarshi, 977 00:53:00,160 --> 00:53:02,279 Speaker 8: the only option is to take a loan that's priced 978 00:53:02,320 --> 00:53:05,600 Speaker 8: at forty percent APR. Young women from Rwanda maybe you know, 979 00:53:06,040 --> 00:53:08,239 Speaker 8: and we know that if she can get into not 980 00:53:08,280 --> 00:53:10,600 Speaker 8: even college, like a six month coding course, she's going 981 00:53:10,640 --> 00:53:11,800 Speaker 8: to ten exer income. 982 00:53:12,480 --> 00:53:14,480 Speaker 4: This can be fixed by companies like UBS. 983 00:53:14,520 --> 00:53:16,560 Speaker 8: Our purpose is to reimagine the power of investing and 984 00:53:16,640 --> 00:53:19,880 Speaker 8: connect people for a better world. Connecting philanthropists like you 985 00:53:19,920 --> 00:53:23,120 Speaker 8: guys are doing with investors in these blended finance instruments, 986 00:53:23,120 --> 00:53:25,680 Speaker 8: you can solve this. We just did a fund recently 987 00:53:25,680 --> 00:53:28,720 Speaker 8: of small fund twenty two million dollars. Instead of doing 988 00:53:28,760 --> 00:53:31,480 Speaker 8: sixty scholarships, which is the traditional model, it's going to 989 00:53:31,480 --> 00:53:33,799 Speaker 8: do ten thousand students in the next ten years. And 990 00:53:33,840 --> 00:53:36,360 Speaker 8: that capital will be repaid and recycled again and again. 991 00:53:36,520 --> 00:53:39,120 Speaker 8: And models like that are scalable. That would only require 992 00:53:39,120 --> 00:53:42,720 Speaker 8: about half a trillion dollars to give finance, fair price 993 00:53:42,800 --> 00:53:45,040 Speaker 8: financing for education to every child in the world who 994 00:53:45,080 --> 00:53:47,000 Speaker 8: needs it. And these are the kinds of big ideas 995 00:53:47,000 --> 00:53:49,040 Speaker 8: that not just we as corporates need to have, but 996 00:53:49,360 --> 00:53:51,560 Speaker 8: as communities need to come together and build together. 997 00:53:51,880 --> 00:53:54,880 Speaker 1: Why has this film, Why does this film align so 998 00:53:55,080 --> 00:53:59,120 Speaker 1: well with UBS's values? You know, why was this you 999 00:53:59,160 --> 00:54:01,960 Speaker 1: know a good exam sample of this kind of partnership. 1000 00:54:02,400 --> 00:54:04,800 Speaker 8: Well, I think, ultimately, if you really want to solve issues, 1001 00:54:04,840 --> 00:54:07,200 Speaker 8: you're always going to end up in pockets of inequality 1002 00:54:07,200 --> 00:54:11,520 Speaker 8: and inequity, and in the US in particular, that has 1003 00:54:11,719 --> 00:54:16,440 Speaker 8: this kind of dimension around conversations around racial inequality and 1004 00:54:16,920 --> 00:54:19,480 Speaker 8: being able to and obviously I don't want to give 1005 00:54:19,480 --> 00:54:21,640 Speaker 8: it away. I've seen the film. It was a paradigm 1006 00:54:21,680 --> 00:54:25,279 Speaker 8: shifting experience for me. Gives us a new language to 1007 00:54:25,280 --> 00:54:27,000 Speaker 8: be able to talk about things perhaps we haven't been 1008 00:54:27,000 --> 00:54:29,560 Speaker 8: able to talk about, and dialogue is essential, right, I 1009 00:54:30,400 --> 00:54:32,960 Speaker 8: was a cop earlier this week. We're not going to 1010 00:54:33,040 --> 00:54:35,360 Speaker 8: address the issues of global climate change without working with 1011 00:54:35,440 --> 00:54:39,239 Speaker 8: local communities well, helping them feed their families and really 1012 00:54:39,320 --> 00:54:42,200 Speaker 8: understand what they're doing. We're not going to address issues 1013 00:54:42,200 --> 00:54:45,759 Speaker 8: around inequality without working with local communities, entrepreneurs, and this 1014 00:54:45,840 --> 00:54:48,879 Speaker 8: is something you know, Jamie, who was applauded earlier, which 1015 00:54:48,880 --> 00:54:50,719 Speaker 8: she should be, has been working on this topic along 1016 00:54:50,719 --> 00:54:53,239 Speaker 8: with our social impact team for a decade because we've 1017 00:54:53,280 --> 00:54:56,399 Speaker 8: identified this as a key area that's critical to see 1018 00:54:56,400 --> 00:54:59,040 Speaker 8: both the economic and the social benefits. And we've been 1019 00:54:59,040 --> 00:55:02,320 Speaker 8: working with Black Innovation Alliance, for example, who we recommend 1020 00:55:02,360 --> 00:55:03,800 Speaker 8: to our clients. Of our clients give we do a 1021 00:55:03,840 --> 00:55:06,520 Speaker 8: ten percent match and it's not just about capital for 1022 00:55:07,120 --> 00:55:10,279 Speaker 8: black entrepreneurs. It's also about mentorship and about actually just 1023 00:55:10,280 --> 00:55:14,640 Speaker 8: trying to address some of the historic issues in this area. 1024 00:55:14,719 --> 00:55:17,520 Speaker 1: So this film will have a long tail, hopefully, and 1025 00:55:17,560 --> 00:55:20,920 Speaker 1: it's going to reverberate as you continue to show it. 1026 00:55:21,120 --> 00:55:24,080 Speaker 1: Hopefully it'll be on a stream or at some point 1027 00:55:24,520 --> 00:55:27,400 Speaker 1: so that even more people can have access to it. 1028 00:55:27,440 --> 00:55:30,160 Speaker 1: But Regina, can you just tell us briefly about some 1029 00:55:30,239 --> 00:55:33,280 Speaker 1: of the programs and Paul you too, that you hope 1030 00:55:33,320 --> 00:55:36,680 Speaker 1: to implement that. Will you know it will have a 1031 00:55:36,760 --> 00:55:39,520 Speaker 1: ripple effect all across the land. 1032 00:55:40,480 --> 00:55:44,160 Speaker 5: Well, I already think it has because thousands of people 1033 00:55:44,640 --> 00:55:48,239 Speaker 5: and in different communities worked on this film. Literally, it 1034 00:55:48,280 --> 00:55:52,160 Speaker 5: feels like and it has changed hearts and minds. When 1035 00:55:52,200 --> 00:55:55,600 Speaker 5: people walk out of this movie, they're change agents. They 1036 00:55:55,680 --> 00:55:58,000 Speaker 5: want to even made the movie? Now, what are you 1037 00:55:58,040 --> 00:55:59,960 Speaker 5: going to do with it? And I hear that all 1038 00:56:00,200 --> 00:56:02,560 Speaker 5: the time, And I think I win the award at 1039 00:56:02,640 --> 00:56:04,680 Speaker 5: Array for seeing the movie the most. I think I've 1040 00:56:04,719 --> 00:56:08,279 Speaker 5: seen it ten times, and every single time I walk out, 1041 00:56:08,360 --> 00:56:12,440 Speaker 5: I just love hearing the conversations. And this wonderful gentleman 1042 00:56:12,480 --> 00:56:15,320 Speaker 5: that's in the audience today came up to me and said, 1043 00:56:15,520 --> 00:56:17,520 Speaker 5: how do I do this in my community? I want 1044 00:56:17,560 --> 00:56:20,360 Speaker 5: to bring this to San Francisco. I want to people 1045 00:56:20,440 --> 00:56:24,000 Speaker 5: want to gather, I think, especially around important issues, and 1046 00:56:24,040 --> 00:56:26,720 Speaker 5: they want to heal, and they want to have smart 1047 00:56:26,760 --> 00:56:30,239 Speaker 5: conversations and they want to be educated. And I think 1048 00:56:30,280 --> 00:56:33,560 Speaker 5: that with the work that we do our wonderful team 1049 00:56:33,560 --> 00:56:37,120 Speaker 5: at Array. Mercedes Cooper, who's here tonight, is our senior 1050 00:56:37,200 --> 00:56:41,520 Speaker 5: vice president of Programming. We host public, free programs around 1051 00:56:41,560 --> 00:56:44,800 Speaker 5: the movie that will be incorporated by the large release. 1052 00:56:45,120 --> 00:56:48,600 Speaker 5: Tammy Garnes, our director of A senior director of Education 1053 00:56:48,680 --> 00:56:53,160 Speaker 5: and Understanding, is launching a beautiful digital learning guide that 1054 00:56:53,320 --> 00:56:56,920 Speaker 5: is a masterpiece that I actually think schools can use 1055 00:56:56,960 --> 00:57:01,040 Speaker 5: this learning guide for a year. It's a coursework. It's 1056 00:57:01,120 --> 00:57:04,360 Speaker 5: not just a couple of prompts. They're extraordinary. Go to 1057 00:57:04,480 --> 00:57:06,279 Speaker 5: Array one oh one and look at some of our 1058 00:57:06,280 --> 00:57:09,080 Speaker 5: other learning guides, but there's nothing like it out there 1059 00:57:09,120 --> 00:57:11,839 Speaker 5: in the education market. And then, of course, we have 1060 00:57:11,880 --> 00:57:15,080 Speaker 5: a podcast that's coming out that Paul is going to 1061 00:57:15,160 --> 00:57:21,680 Speaker 5: be moderating and leading, and we're constantly innovating creative partnerships 1062 00:57:21,720 --> 00:57:25,680 Speaker 5: with Expedia. How do we create travel experiences around this 1063 00:57:25,880 --> 00:57:28,800 Speaker 5: content and around the movie, how do we gather in 1064 00:57:28,880 --> 00:57:32,000 Speaker 5: small groups and have meaningful conversations with each other. So 1065 00:57:32,560 --> 00:57:36,360 Speaker 5: there's so many layers to array of how we approach impact. 1066 00:57:36,840 --> 00:57:39,240 Speaker 5: But the other thing that we're so proud of is 1067 00:57:39,240 --> 00:57:40,840 Speaker 5: you'll see it at the end of the movie. We 1068 00:57:40,920 --> 00:57:44,040 Speaker 5: got the highest seal for environmental justice on a movie 1069 00:57:44,800 --> 00:57:47,040 Speaker 5: that we also the way that the movie was made 1070 00:57:47,280 --> 00:57:50,080 Speaker 5: and the way we cared about the world and the 1071 00:57:50,120 --> 00:57:52,479 Speaker 5: community and the environment when we made it, So there's 1072 00:57:52,600 --> 00:57:56,280 Speaker 5: impact on every level. And I just also want to 1073 00:57:56,320 --> 00:58:00,640 Speaker 5: thank ubs because as a fundraiser, it's really really hard 1074 00:58:01,600 --> 00:58:05,080 Speaker 5: to raise money and it's so beautiful when someone comes 1075 00:58:05,080 --> 00:58:07,560 Speaker 5: to you and says, I have five donors that I 1076 00:58:07,600 --> 00:58:09,960 Speaker 5: want to introduce you to and you didn't have to ask, 1077 00:58:10,520 --> 00:58:13,800 Speaker 5: and that really shows the collaboration and leadership when you 1078 00:58:13,880 --> 00:58:17,200 Speaker 5: don't have to ask, but somebody gets your vision and 1079 00:58:17,440 --> 00:58:19,200 Speaker 5: Mark is like, we're going to get out there and 1080 00:58:19,240 --> 00:58:19,520 Speaker 5: do it. 1081 00:58:19,520 --> 00:58:20,360 Speaker 3: We're going to help you. 1082 00:58:20,600 --> 00:58:23,000 Speaker 5: So I just really want to thank you because not 1083 00:58:23,080 --> 00:58:26,600 Speaker 5: a lot of companies do that proactively, and it means 1084 00:58:26,600 --> 00:58:28,400 Speaker 5: the world to every single one of us that are 1085 00:58:28,400 --> 00:58:30,760 Speaker 5: trying to make and fuel dreams. Because a lot of 1086 00:58:30,760 --> 00:58:33,040 Speaker 5: people have dreams, but you have to fuel them, so 1087 00:58:33,240 --> 00:58:33,840 Speaker 5: thank you for that. 1088 00:58:34,440 --> 00:58:36,880 Speaker 1: I think that's a great way to end the conversation. 1089 00:58:37,240 --> 00:58:41,080 Speaker 1: So ladies and gentlemen, Regina, Tom and Paul, thank you. 1090 00:58:54,680 --> 00:58:56,040 Speaker 3: Thanks for listening. Everyone. 1091 00:58:56,440 --> 00:58:59,040 Speaker 1: If you have a question for me, a subject you 1092 00:58:59,080 --> 00:59:01,320 Speaker 1: want us to cover, or you want to share your 1093 00:59:01,360 --> 00:59:05,080 Speaker 1: thoughts about how you navigate this crazy world reach out. 1094 00:59:05,440 --> 00:59:08,040 Speaker 1: You can leave a short message at six h nine 1095 00:59:08,240 --> 00:59:11,440 Speaker 1: five P one two five five five, or you can 1096 00:59:11,480 --> 00:59:14,120 Speaker 1: send me a DM on Instagram. I would love to 1097 00:59:14,160 --> 00:59:18,040 Speaker 1: hear from you. Next Question is a production of iHeartMedia 1098 00:59:18,080 --> 00:59:22,440 Speaker 1: and Katie Kuric Media. The executive producers are Me, Katie Kuric, 1099 00:59:22,560 --> 00:59:27,120 Speaker 1: and Courtney Ltz. Our supervising producer is Ryan Martz, and 1100 00:59:27,200 --> 00:59:32,360 Speaker 1: our producers are Adriana Fazzio and Meredith Barnes. Julian Weller 1101 00:59:32,480 --> 00:59:37,120 Speaker 1: composed our theme music. For more information about today's episode, 1102 00:59:37,280 --> 00:59:39,680 Speaker 1: or to sign up for my newsletter wake Up Call, 1103 00:59:40,120 --> 00:59:43,040 Speaker 1: go to the description in the podcast app, or visit 1104 00:59:43,120 --> 00:59:46,320 Speaker 1: us at Katiecuric dot com. You can also find me 1105 00:59:46,400 --> 00:59:50,080 Speaker 1: on Instagram and all my social media channels. For more 1106 00:59:50,160 --> 00:59:55,480 Speaker 1: podcasts from iHeartRadio, visit the iHeartRadio app Apple Podcasts or 1107 00:59:55,520 --> 00:59:57,640 Speaker 1: wherever you listen to your favorite shows. 1108 01:00:00,280 --> 01:00:00,800 Speaker 2: Two