1 00:00:01,320 --> 00:00:02,880 Speaker 1: I've lived at l A off and on. I went 2 00:00:02,960 --> 00:00:05,240 Speaker 1: to undergrad there and then stayed for like ten years. 3 00:00:05,519 --> 00:00:08,600 Speaker 1: But this past spring I was working there and it's 4 00:00:08,640 --> 00:00:12,000 Speaker 1: the first time I lived by the beach. I grabbed 5 00:00:12,000 --> 00:00:16,120 Speaker 1: an Airbnb in Venice, and I will never not live 6 00:00:16,440 --> 00:00:18,279 Speaker 1: close to the beach. When I'm back in l A. 7 00:00:18,320 --> 00:00:21,640 Speaker 1: It was gorgeous. I was with some Caribbean friends in 8 00:00:21,680 --> 00:00:24,439 Speaker 1: New York. You know, We've been walking around and looking 9 00:00:24,440 --> 00:00:26,240 Speaker 1: on the things, and it was amazing and the whole thing. 10 00:00:26,239 --> 00:00:29,360 Speaker 1: And then we finally got to the Hudson and they 11 00:00:29,400 --> 00:00:33,120 Speaker 1: suddenly relaxed and they were like, thank God, like we 12 00:00:33,159 --> 00:00:37,040 Speaker 1: didn't know where the city breathed. I was like, I 13 00:00:37,080 --> 00:00:45,680 Speaker 1: gotta yeah, hello, I'm Mini driver. Welcome to Many Questions, 14 00:00:45,840 --> 00:00:50,560 Speaker 1: Season two. I've always loved Pruce's question. It was originally 15 00:00:50,680 --> 00:00:54,360 Speaker 1: a nineteenth century harl game where players would ask each 16 00:00:54,400 --> 00:00:57,960 Speaker 1: other thirty five questions aimed at revealing the other players 17 00:00:58,000 --> 00:01:03,040 Speaker 1: true nature. It's just scientific method really. In asking different 18 00:01:03,040 --> 00:01:06,080 Speaker 1: people the same set of questions, you can make observations 19 00:01:06,160 --> 00:01:10,560 Speaker 1: about which truths appeared to be universal. I love this discipline, 20 00:01:10,800 --> 00:01:13,600 Speaker 1: and it made me wonder, what if these questions were 21 00:01:13,680 --> 00:01:16,360 Speaker 1: just the jumping off point. What greater depths would be 22 00:01:16,400 --> 00:01:20,360 Speaker 1: revealed if I asked these questions as conversation starters with 23 00:01:20,480 --> 00:01:24,480 Speaker 1: thought leaders and trailblazers across all these different disciplines. So 24 00:01:24,720 --> 00:01:27,400 Speaker 1: I adapted prus questionnaire and I wrote my own seven 25 00:01:27,480 --> 00:01:30,760 Speaker 1: questions that I personally think a pertinent to a person's story. 26 00:01:31,080 --> 00:01:34,240 Speaker 1: They are when and where were you happiest? What is 27 00:01:34,240 --> 00:01:37,679 Speaker 1: the quality you like least about yourself? What relationship, real 28 00:01:37,840 --> 00:01:41,440 Speaker 1: or fictionalized, defines love for you? What question would you 29 00:01:41,520 --> 00:01:45,560 Speaker 1: most like answered, What person, place, or experience has shaped 30 00:01:45,600 --> 00:01:48,320 Speaker 1: you the most? What would be your last meal? And 31 00:01:48,400 --> 00:01:51,000 Speaker 1: can you tell me something in your life that's grown 32 00:01:51,040 --> 00:01:54,400 Speaker 1: out of a personal disaster? And I've gathered a group 33 00:01:54,640 --> 00:01:58,960 Speaker 1: of really remarkable people, ones that I am honored and 34 00:01:59,120 --> 00:02:01,920 Speaker 1: humbled to have the chance to engage with. You may 35 00:02:01,920 --> 00:02:05,120 Speaker 1: not hear their answers to all seven of these questions. 36 00:02:05,160 --> 00:02:08,560 Speaker 1: We've whittled it down to which questions felt closest to 37 00:02:08,600 --> 00:02:12,839 Speaker 1: their experience or the most surprising, or created the most 38 00:02:12,919 --> 00:02:18,440 Speaker 1: fertile ground to connect. My guest today is the actor, author, 39 00:02:18,760 --> 00:02:22,640 Speaker 1: and former OBAMA staff member cal pan Cal is an 40 00:02:22,680 --> 00:02:27,000 Speaker 1: extraordinary mix of creative talent, and intellectual acuity, which don't 41 00:02:27,000 --> 00:02:30,320 Speaker 1: always go hand in hand in my business. A native 42 00:02:30,360 --> 00:02:34,600 Speaker 1: of New Jersey and as keenly political as he is creative, 43 00:02:35,639 --> 00:02:38,400 Speaker 1: Cal has been a standard bearer for actors of Southeast 44 00:02:38,400 --> 00:02:42,080 Speaker 1: Asian heritage, bursting onto our screens with John Show in 45 00:02:42,120 --> 00:02:46,200 Speaker 1: the Harold and Kumar series. And his experience of casual, 46 00:02:46,320 --> 00:02:50,520 Speaker 1: systemic racism in Hollywood and how that is changing is 47 00:02:50,720 --> 00:02:54,560 Speaker 1: so clearly and candidly examined in our interview. Amongst many 48 00:02:54,560 --> 00:02:58,359 Speaker 1: other things, I will also forever hold close the idea 49 00:02:58,400 --> 00:03:01,119 Speaker 1: that for Cal, when I asked in what relationship, real 50 00:03:01,160 --> 00:03:05,320 Speaker 1: or fictionalized, defines love for him, he said the Muppets. 51 00:03:06,080 --> 00:03:08,400 Speaker 1: I hope you really enjoy this conversation as much as 52 00:03:08,440 --> 00:03:17,200 Speaker 1: I did. So, now, what person, place, or experience most 53 00:03:17,240 --> 00:03:21,320 Speaker 1: altered your life? I was gonna say, I will say 54 00:03:21,480 --> 00:03:26,079 Speaker 1: my grandparents, And I want to define that altering does 55 00:03:26,160 --> 00:03:28,520 Speaker 1: not imply that my life was going in one direction 56 00:03:28,560 --> 00:03:31,160 Speaker 1: and then it changed course. So I would say maybe 57 00:03:31,200 --> 00:03:35,160 Speaker 1: impacted because they so I got to know all four 58 00:03:35,560 --> 00:03:39,040 Speaker 1: grandparents when I was a kid. But the stories they 59 00:03:39,040 --> 00:03:41,680 Speaker 1: would they would tell us my grandparents, especially on my 60 00:03:41,680 --> 00:03:44,800 Speaker 1: mom's side, would talk about how they marched with Gandhi 61 00:03:45,640 --> 00:03:47,920 Speaker 1: and that those were the stories. So it was stories 62 00:03:47,920 --> 00:03:50,960 Speaker 1: like about literally, you know, you're they're trying to get 63 00:03:51,000 --> 00:03:54,440 Speaker 1: you to eat your vegetables. And so Grandpa's talking about 64 00:03:54,440 --> 00:03:57,600 Speaker 1: getting thrown in jail and beaten by British soldiers for 65 00:03:58,240 --> 00:04:00,360 Speaker 1: standing up for his human rights. And of course the 66 00:04:00,440 --> 00:04:03,000 Speaker 1: eight year old you was like, there he goes again, 67 00:04:03,120 --> 00:04:14,160 Speaker 1: Grandpa with another Gandhy story. So rolling eye, rolling story. 68 00:04:14,520 --> 00:04:16,919 Speaker 1: I'm this like American kid born and raised in the 69 00:04:16,960 --> 00:04:19,960 Speaker 1: suburbs of New York City, and I'm like, here we go. 70 00:04:20,640 --> 00:04:23,760 Speaker 1: But of course then when you understand as a kid, 71 00:04:23,839 --> 00:04:25,560 Speaker 1: you know, I think for me it was in sixth grade. 72 00:04:26,200 --> 00:04:28,919 Speaker 1: There was a very small section in our history book 73 00:04:28,960 --> 00:04:31,800 Speaker 1: that tied Gandhi a non violence of the disobedience to 74 00:04:31,920 --> 00:04:37,160 Speaker 1: Dr King. So you connected it, you connected it to like, yes, 75 00:04:37,279 --> 00:04:38,720 Speaker 1: they were still alive at that point. So I had 76 00:04:38,720 --> 00:04:42,200 Speaker 1: the chance to ask my grandparents questions. And my one 77 00:04:42,279 --> 00:04:45,159 Speaker 1: grandmother in particular didn't speak any English. So one of 78 00:04:45,279 --> 00:04:48,480 Speaker 1: the reasons that I am bilingual and fluently so is 79 00:04:48,760 --> 00:04:51,000 Speaker 1: because in order to communicate with her, I had to 80 00:04:51,080 --> 00:04:54,840 Speaker 1: learn a language called I wouldn't say it changed the 81 00:04:54,880 --> 00:04:57,279 Speaker 1: course of my life, but it offered perspective in a 82 00:04:57,279 --> 00:05:00,600 Speaker 1: certain type of grounding where recognizing the things like this 83 00:05:00,680 --> 00:05:04,080 Speaker 1: are not things that are in ancient history, but happened 84 00:05:04,080 --> 00:05:07,120 Speaker 1: to and have happened to, and involve our relatives, people 85 00:05:07,160 --> 00:05:10,720 Speaker 1: we've met and known and loved in our lifetimes, and 86 00:05:10,760 --> 00:05:13,560 Speaker 1: then the idea of and folks who are multi lingual 87 00:05:13,640 --> 00:05:16,360 Speaker 1: will will know this. I'm so grateful because Lord knows, 88 00:05:16,360 --> 00:05:19,200 Speaker 1: my high school French didn't turn out too hot. So 89 00:05:19,320 --> 00:05:23,400 Speaker 1: I'm very grateful for my grandparents being multi lingual because 90 00:05:23,400 --> 00:05:26,599 Speaker 1: it just offered a perspective on getting to know people 91 00:05:26,600 --> 00:05:28,800 Speaker 1: and being able to travel, and being able to travel 92 00:05:28,839 --> 00:05:31,520 Speaker 1: in another language that I don't think I would have 93 00:05:31,560 --> 00:05:37,159 Speaker 1: had the exposure to otherwise. Is the most spoken language 94 00:05:37,240 --> 00:05:41,960 Speaker 1: in India. I think it's something like they're they're sixty 95 00:05:42,080 --> 00:05:47,080 Speaker 1: or eighty million speakers. Because there are a billion people, 96 00:05:47,360 --> 00:05:52,120 Speaker 1: it makes it. Yeah, it's a it's a minority language. Regionally, 97 00:05:52,320 --> 00:05:57,080 Speaker 1: it's a smaller language, but by global standards, it's pretty big. Yeah, 98 00:05:57,120 --> 00:05:59,800 Speaker 1: I mean more than more than how many people are 99 00:05:59,800 --> 00:06:03,719 Speaker 1: in England. Yeah, I mean, goodness, Wow, I love the 100 00:06:03,720 --> 00:06:06,200 Speaker 1: e learned a language to be able to communicate with 101 00:06:06,279 --> 00:06:11,440 Speaker 1: your your grandma, Like, that's really, that's really wonderful. When 102 00:06:11,520 --> 00:06:13,160 Speaker 1: was the last time, when was the most recent time 103 00:06:13,200 --> 00:06:16,760 Speaker 1: that you use your good rat There's a movie on Netflix, 104 00:06:16,800 --> 00:06:20,920 Speaker 1: I think it's Netflix called Wrong Side Raju and it's 105 00:06:20,960 --> 00:06:23,920 Speaker 1: in good and I was like thumbing through. I was like, 106 00:06:23,920 --> 00:06:26,000 Speaker 1: wonder if they have any good language content, and they 107 00:06:26,040 --> 00:06:28,440 Speaker 1: did so I watched it and it was wonderful. Oh 108 00:06:28,480 --> 00:06:31,120 Speaker 1: my god, how brittains. Then maybe I will go and 109 00:06:31,200 --> 00:06:42,839 Speaker 1: check it out. The name again, Wrong Side Raju's okay? Good? 110 00:06:47,800 --> 00:06:50,719 Speaker 1: Will you tell me where and when you were happiest 111 00:06:50,839 --> 00:06:53,679 Speaker 1: in your life? Yes? And I was trying to think 112 00:06:53,720 --> 00:06:56,640 Speaker 1: about this. I had wished when I was thinking about 113 00:06:56,640 --> 00:06:59,240 Speaker 1: this answer, I was like, so, I'm a big astronomy nerd, 114 00:06:59,800 --> 00:07:02,360 Speaker 1: and I was like, I wish I had the hundred 115 00:07:02,360 --> 00:07:05,600 Speaker 1: million dollars to go into space talking about talking about 116 00:07:05,600 --> 00:07:09,040 Speaker 1: things that are morally questionable. By the way, forty five 117 00:07:09,080 --> 00:07:11,520 Speaker 1: minutes and you're not even in space, because he wasn't 118 00:07:11,560 --> 00:07:14,600 Speaker 1: in space. He was literally not in space. He was 119 00:07:14,640 --> 00:07:17,360 Speaker 1: just up high in the sky the wade. You are. 120 00:07:18,040 --> 00:07:22,360 Speaker 1: I annoyed about this, so annoyed by how much weightless 121 00:07:22,640 --> 00:07:28,520 Speaker 1: sure space? Not really you weren't really in deep space. Yeah, 122 00:07:28,520 --> 00:07:30,520 Speaker 1: so I was gonna I was gonna say I wish 123 00:07:30,600 --> 00:07:31,920 Speaker 1: I wish I'd done one of those. It would have 124 00:07:31,920 --> 00:07:34,200 Speaker 1: been my easy answer for me. I feel like part 125 00:07:34,200 --> 00:07:36,960 Speaker 1: of it in terms of, like, you know, where have 126 00:07:37,080 --> 00:07:40,160 Speaker 1: I been happiest. There was a work experience that I 127 00:07:40,200 --> 00:07:44,000 Speaker 1: had on a film called The Namesake, which is based 128 00:07:44,040 --> 00:07:48,280 Speaker 1: on a novel written by a wonderful author named jimpola 129 00:07:48,360 --> 00:07:50,720 Speaker 1: Here she won the Pulletzer for her first book, The 130 00:07:50,720 --> 00:07:54,320 Speaker 1: Interpreter of Melodies, and the film I had the chance 131 00:07:54,360 --> 00:07:56,480 Speaker 1: to play the one of the leads in the film 132 00:07:56,800 --> 00:07:58,800 Speaker 1: was directed by a woman named Mary, and I are 133 00:07:58,960 --> 00:08:02,000 Speaker 1: who she's InCred of all. She's amazing and she was 134 00:08:02,440 --> 00:08:04,240 Speaker 1: a role model of mine from the time I was 135 00:08:04,280 --> 00:08:06,480 Speaker 1: a kid. She's actually one of the reasons I decided 136 00:08:06,520 --> 00:08:09,240 Speaker 1: to become an actor because when I was a kid, 137 00:08:09,320 --> 00:08:13,400 Speaker 1: she had this movie come out called Mississippi Massala. I remember, 138 00:08:13,680 --> 00:08:18,760 Speaker 1: my god, it was incredible, the hottest, most beautiful, amazing movie. 139 00:08:18,880 --> 00:08:21,960 Speaker 1: And for folks I don't know Sta Childrey, Denzel Washington 140 00:08:22,320 --> 00:08:25,160 Speaker 1: and uh And the first time that you know, the 141 00:08:25,560 --> 00:08:29,120 Speaker 1: thirteen or fourteen year old me had seen characters on 142 00:08:29,160 --> 00:08:32,240 Speaker 1: screen who looked like me, who weren't played by people 143 00:08:32,240 --> 00:08:36,640 Speaker 1: in brown face or cartoon characters. My god, that was 144 00:08:36,800 --> 00:08:39,440 Speaker 1: how I wanted to look more than any other. I 145 00:08:39,440 --> 00:08:41,240 Speaker 1: mean once when I was a kid, it was Sigourney 146 00:08:41,240 --> 00:08:42,960 Speaker 1: Weaver because there was no one else that had the 147 00:08:42,960 --> 00:08:45,920 Speaker 1: same hair as I did. But Surrita in that film 148 00:08:46,920 --> 00:08:50,600 Speaker 1: was the most my It was my epitome of female beauty. 149 00:08:50,880 --> 00:08:53,800 Speaker 1: Oh wow. Basically walking out of that theater, I thought, 150 00:08:53,840 --> 00:08:56,440 Speaker 1: oh wow, these are these are families or characters that 151 00:08:56,440 --> 00:08:59,240 Speaker 1: that are like mine. And they're in addition to just 152 00:08:59,760 --> 00:09:02,320 Speaker 1: the the feeling of like why do I feel this way? 153 00:09:02,360 --> 00:09:05,400 Speaker 1: And and the characters also weren't one note right. They 154 00:09:05,400 --> 00:09:09,560 Speaker 1: were flawed, and they made mistakes, and they were racist, 155 00:09:09,720 --> 00:09:12,720 Speaker 1: and they had sex, and they all of the beautiful 156 00:09:12,720 --> 00:09:16,120 Speaker 1: and tragic things that happen in life were happening to 157 00:09:16,200 --> 00:09:18,319 Speaker 1: these characters. So it was one of those things where 158 00:09:18,360 --> 00:09:20,040 Speaker 1: I thought, well, if if this, if these women can 159 00:09:20,040 --> 00:09:21,640 Speaker 1: do it, then maybe it's something I can do as well. 160 00:09:21,960 --> 00:09:25,920 Speaker 1: And then in college, I remember waiting for hours there 161 00:09:25,920 --> 00:09:27,679 Speaker 1: was an announcement that Mire and I are was going 162 00:09:27,720 --> 00:09:31,079 Speaker 1: to speak on campus, and I went. It was I 163 00:09:31,080 --> 00:09:33,520 Speaker 1: think it was like a seven pm start time, and 164 00:09:33,559 --> 00:09:36,720 Speaker 1: I must have showed up at like three pm, and 165 00:09:36,920 --> 00:09:41,520 Speaker 1: I waited in line with my head shot. I was like, Okay, 166 00:09:41,640 --> 00:09:43,240 Speaker 1: I feel like if I sit in the front row 167 00:09:43,280 --> 00:09:46,360 Speaker 1: it's too eager. But if I sit like two rows back, 168 00:09:46,480 --> 00:09:48,400 Speaker 1: then I can get her my head shot at the end. 169 00:09:49,120 --> 00:09:52,520 Speaker 1: And I loved, you know, I loved her her conversation. 170 00:09:52,559 --> 00:09:54,439 Speaker 1: And at the very end I managed to kind of 171 00:09:54,480 --> 00:09:56,559 Speaker 1: get up to her and handed her my head shot 172 00:09:56,559 --> 00:09:58,800 Speaker 1: and she was very polite. She said, oh, how how lovely, 173 00:09:58,840 --> 00:10:00,680 Speaker 1: and that was obviously you don't from people when you 174 00:10:00,920 --> 00:10:03,600 Speaker 1: bombard them that way. Um. But that was in college, 175 00:10:03,640 --> 00:10:06,719 Speaker 1: and then two thousand and five or six, I had 176 00:10:06,760 --> 00:10:08,839 Speaker 1: the chance to work on the namesake. And I will 177 00:10:08,880 --> 00:10:10,800 Speaker 1: tell you I only had the chance to work on 178 00:10:10,840 --> 00:10:16,280 Speaker 1: the namesake because Mira's then fourteen year old son, Zaran, 179 00:10:17,000 --> 00:10:19,719 Speaker 1: was a huge fan of the Harold and Kamar Go 180 00:10:19,840 --> 00:10:24,559 Speaker 1: to White Castle film, and he apparently had shown her 181 00:10:24,960 --> 00:10:28,280 Speaker 1: the a trailer or a couple of clips from the 182 00:10:28,320 --> 00:10:31,360 Speaker 1: movie to say, hey, cal Penn would be perfect as 183 00:10:31,480 --> 00:10:33,599 Speaker 1: go Gol, the title character or the lead character in 184 00:10:33,640 --> 00:10:37,680 Speaker 1: the film, and Mira apparently saw this like silly stoner 185 00:10:37,760 --> 00:10:41,240 Speaker 1: movie and was like, this is obviously not the guy. 186 00:10:41,679 --> 00:10:45,160 Speaker 1: But I had written her a letter asking to audition 187 00:10:45,240 --> 00:10:47,240 Speaker 1: for the film because I heard she was casting it, 188 00:10:47,280 --> 00:10:49,600 Speaker 1: and I never heard back, and so I found out 189 00:10:49,640 --> 00:10:51,719 Speaker 1: that the reason that I was finally allowed audition was 190 00:10:51,760 --> 00:10:54,439 Speaker 1: because of her son. So basically he convinced her to 191 00:10:54,520 --> 00:10:56,959 Speaker 1: let me audition. Now, Harold and Kumar, I think one 192 00:10:56,960 --> 00:10:59,880 Speaker 1: of the reasons that I had tipped my myself or 193 00:11:00,120 --> 00:11:02,360 Speaker 1: the edge was I was one of the few South 194 00:11:02,400 --> 00:11:05,240 Speaker 1: Asian actors in those days who had a film credit 195 00:11:05,360 --> 00:11:07,560 Speaker 1: on his resume because of a comedy I did in 196 00:11:07,679 --> 00:11:10,600 Speaker 1: like two thousand and two thousand and one called Van 197 00:11:10,679 --> 00:11:15,480 Speaker 1: Wilder with Ryan Reynolds. His first was his first big thing, 198 00:11:16,280 --> 00:11:19,120 Speaker 1: and the name of the character was taj Mahal that 199 00:11:19,200 --> 00:11:22,000 Speaker 1: I played like it was this it was I had 200 00:11:22,000 --> 00:11:26,600 Speaker 1: a great I mean I I have a book that 201 00:11:26,600 --> 00:11:28,160 Speaker 1: recently came out where I talked about the whole story 202 00:11:28,160 --> 00:11:30,400 Speaker 1: about getting cast in it and and how gracious by 203 00:11:30,400 --> 00:11:32,960 Speaker 1: the way both Ryan and Terry Reid were. But to 204 00:11:33,080 --> 00:11:35,440 Speaker 1: go from like that first job where you're an actor, 205 00:11:35,480 --> 00:11:37,439 Speaker 1: you take what you're gonna get right and you build 206 00:11:37,440 --> 00:11:40,360 Speaker 1: your resume from it. But the problematic nature of playing 207 00:11:40,360 --> 00:11:43,200 Speaker 1: a guy named taj Mahal, to that leading to the 208 00:11:43,240 --> 00:11:46,480 Speaker 1: Harold and Kumar movies, to that then leading to the Namesake, 209 00:11:46,520 --> 00:11:48,440 Speaker 1: where I get to work with a woman who is 210 00:11:48,480 --> 00:11:50,040 Speaker 1: one of the reasons that I decided to be an 211 00:11:50,080 --> 00:11:53,400 Speaker 1: actor to begin with, and then starting on that project 212 00:11:53,440 --> 00:11:56,079 Speaker 1: and realizing it was, especially in two thousand five, guys 213 00:11:56,160 --> 00:11:59,120 Speaker 1: who look like me don't get to do literary adaptations 214 00:11:59,640 --> 00:12:03,080 Speaker 1: that are that are beautiful dramas. You're right, because now 215 00:12:03,320 --> 00:12:06,760 Speaker 1: you know, I look at I don't know, Depitel, that's 216 00:12:06,800 --> 00:12:11,320 Speaker 1: like just total movie stars. But in two thousand five, 217 00:12:11,480 --> 00:12:14,320 Speaker 1: you're right, Yeah, you were so for all those reasons. 218 00:12:14,320 --> 00:12:17,160 Speaker 1: When you say when were you most happiest? I was like, 219 00:12:17,280 --> 00:12:19,520 Speaker 1: isn't a cop out to mention something work related? And 220 00:12:19,559 --> 00:12:21,960 Speaker 1: I thought, you know, it's not, because the whole reason 221 00:12:22,000 --> 00:12:25,840 Speaker 1: we love art and storytelling sometimes it's tied into so 222 00:12:25,920 --> 00:12:28,640 Speaker 1: much more, including the fourteen year old me and the 223 00:12:28,720 --> 00:12:31,480 Speaker 1: twenty six year old me and then the twenty eight 224 00:12:31,559 --> 00:12:33,480 Speaker 1: year old me, and you know, it's just at every 225 00:12:33,480 --> 00:12:36,040 Speaker 1: iteration when there's something like that that inspires you, and 226 00:12:36,040 --> 00:12:37,760 Speaker 1: then you have the chance to work with those people. 227 00:12:38,040 --> 00:12:40,960 Speaker 1: I can't even describe how content I was and how 228 00:12:41,040 --> 00:12:43,240 Speaker 1: much I felt like I was able to excel in 229 00:12:43,320 --> 00:12:47,320 Speaker 1: my craft during that period of time. I completely understand that, 230 00:12:47,360 --> 00:12:51,160 Speaker 1: and I think it's so connected. And also, your desire 231 00:12:51,320 --> 00:12:55,240 Speaker 1: was the straight shot. Everything else was just constantly bisecting 232 00:12:55,320 --> 00:12:58,719 Speaker 1: the straight shot of your kind of intention. But the 233 00:12:59,280 --> 00:13:01,880 Speaker 1: fact that it does, it doesn't necessarily come in the 234 00:13:01,880 --> 00:13:04,720 Speaker 1: way that you thought it should. It didn't. You know, 235 00:13:04,800 --> 00:13:06,680 Speaker 1: maybe you thought that you would hand her your head 236 00:13:06,679 --> 00:13:08,280 Speaker 1: shot and it would all sort of happen then, and 237 00:13:08,280 --> 00:13:10,520 Speaker 1: it's like, no, and actually it's still not going to 238 00:13:10,600 --> 00:13:13,640 Speaker 1: happen in a super competitive audition process. But then a 239 00:13:13,640 --> 00:13:17,520 Speaker 1: fourteen year old kid who's seen this movie, I love 240 00:13:17,559 --> 00:13:22,240 Speaker 1: it when happiness is genuinely in the gray areas. It's 241 00:13:22,280 --> 00:13:25,120 Speaker 1: not in the it's often not in the way in 242 00:13:25,120 --> 00:13:28,440 Speaker 1: which we divine it should be. Yeah, yeah, that's right. 243 00:13:28,880 --> 00:13:31,800 Speaker 1: How amazing. Also, the fact that Mirror and I would 244 00:13:31,800 --> 00:13:37,680 Speaker 1: be this continuous creative punctuation through your story, I think 245 00:13:37,679 --> 00:13:40,320 Speaker 1: that's really I think that's really amazing. I'm also I 246 00:13:40,400 --> 00:13:43,360 Speaker 1: cannot believe that the character in Van Wilder was called 247 00:13:44,440 --> 00:13:46,280 Speaker 1: I don't. I don't think I'm ever going to get 248 00:13:46,280 --> 00:13:50,200 Speaker 1: over that. It's shocking. It is absolutely shocking that that 249 00:13:50,320 --> 00:13:53,240 Speaker 1: was only that was that was two thousand five, Like, 250 00:13:53,280 --> 00:13:54,920 Speaker 1: it's not that, I mean, that's not that long ago. 251 00:13:55,200 --> 00:13:57,800 Speaker 1: Two thou Well, I'll one up you if you're if 252 00:13:57,800 --> 00:14:00,320 Speaker 1: you're surprised by that, because you're ready. It wasn't that 253 00:14:00,400 --> 00:14:02,800 Speaker 1: long ago. I think every actor goes through this in 254 00:14:03,240 --> 00:14:05,880 Speaker 1: the appropriate comparison. But you know, sometimes you audition for 255 00:14:05,920 --> 00:14:07,920 Speaker 1: stuff and you you want to know if you're gonna 256 00:14:07,960 --> 00:14:09,559 Speaker 1: get it, and you're not sure if you're gonna take it, 257 00:14:10,080 --> 00:14:11,640 Speaker 1: and so this was one of those things where I 258 00:14:11,640 --> 00:14:13,480 Speaker 1: was like, let me just see because I know I'm 259 00:14:13,520 --> 00:14:16,080 Speaker 1: a I'm a I'm an aspiring actor. At that point, 260 00:14:16,080 --> 00:14:17,720 Speaker 1: I was like, let me see if I get this job, 261 00:14:17,800 --> 00:14:20,640 Speaker 1: because I need a credit on my resume. In the realities, 262 00:14:20,680 --> 00:14:22,960 Speaker 1: I know, I know what people think I look like, 263 00:14:23,040 --> 00:14:25,120 Speaker 1: and so if I'm going to get credits on my resume, 264 00:14:25,160 --> 00:14:27,040 Speaker 1: I'm gonna probably have to do some of these types 265 00:14:27,120 --> 00:14:31,440 Speaker 1: of of parts. And so I remember going back for 266 00:14:31,520 --> 00:14:33,720 Speaker 1: callbacks and I knew what the last callback. I was 267 00:14:33,760 --> 00:14:35,920 Speaker 1: told it's between you and another guy, and I didn't 268 00:14:35,960 --> 00:14:39,520 Speaker 1: know who he was. And the issue with diversities, of course, 269 00:14:39,560 --> 00:14:42,240 Speaker 1: it's never a question of there aren't enough actors. It's 270 00:14:42,320 --> 00:14:45,280 Speaker 1: you know, everybody, there's so many talented actors to choose from. 271 00:14:45,360 --> 00:14:48,160 Speaker 1: And so I walk into the room and the other 272 00:14:48,200 --> 00:14:50,200 Speaker 1: guy had arrived before me, and it was a white 273 00:14:50,280 --> 00:15:00,920 Speaker 1: dude in brown face. I'm not kidding, and any any um, 274 00:15:01,000 --> 00:15:04,040 Speaker 1: any question that I had about whether I was going 275 00:15:04,080 --> 00:15:06,200 Speaker 1: to take the part if I got it, all went 276 00:15:06,200 --> 00:15:08,200 Speaker 1: out the window because I saw this dude sitting there 277 00:15:08,240 --> 00:15:10,800 Speaker 1: and I was like, oh, yeah, no, you're not allowed 278 00:15:11,360 --> 00:15:14,640 Speaker 1: to play this. You can play Brandon from Iowa all 279 00:15:14,720 --> 00:15:16,800 Speaker 1: you want, because you're gonna get tons of aliens or 280 00:15:16,800 --> 00:15:18,760 Speaker 1: stuff like that. And it made the decision a lot 281 00:15:18,760 --> 00:15:21,200 Speaker 1: easier because I thought, no, so the choices like this 282 00:15:21,280 --> 00:15:23,120 Speaker 1: dude gets a credit on his resume or I do. 283 00:15:23,800 --> 00:15:26,800 Speaker 1: And I don't know how your approaches, but I rarely 284 00:15:26,840 --> 00:15:30,840 Speaker 1: have beef with other actors in any situation, especially even 285 00:15:30,880 --> 00:15:33,640 Speaker 1: a situation like this, because I understand the desperation of 286 00:15:33,640 --> 00:15:36,600 Speaker 1: wanting a job and how competitive the field is. So 287 00:15:36,720 --> 00:15:39,680 Speaker 1: I was more curious. I was like, Okay, here's the deal. 288 00:15:39,880 --> 00:15:43,640 Speaker 1: My god, did this guy he like, did his agent 289 00:15:43,720 --> 00:15:46,280 Speaker 1: tell him to paint his face or did he decide 290 00:15:46,320 --> 00:15:48,840 Speaker 1: to do that on his own. Number two, it's a callback. 291 00:15:49,080 --> 00:15:52,880 Speaker 1: Had he painted his face before and everyone was cool 292 00:15:52,880 --> 00:15:54,880 Speaker 1: with that? Number Three? Where did he do it? Did 293 00:15:54,880 --> 00:15:57,600 Speaker 1: he paint his face at home? If so, did it 294 00:15:57,640 --> 00:15:59,880 Speaker 1: increase his chances of getting pulled over by the car? 295 00:16:00,360 --> 00:16:02,720 Speaker 1: Or did he come to the audition and then paying 296 00:16:02,760 --> 00:16:05,160 Speaker 1: his face in the bathroom? That was all the stuff. 297 00:16:05,200 --> 00:16:08,080 Speaker 1: I was so fascinated. I'm just I know, and I 298 00:16:08,160 --> 00:16:11,120 Speaker 1: know that you're you're laughing and you're brilliant and you 299 00:16:11,240 --> 00:16:15,520 Speaker 1: have long metabolized this. But it's like the awful sort 300 00:16:15,560 --> 00:16:20,400 Speaker 1: of passive sexual assaults that happen on female actors all 301 00:16:20,400 --> 00:16:22,720 Speaker 1: the time, and how one just sort of metabolized and 302 00:16:22,760 --> 00:16:25,080 Speaker 1: it becomes part of your narrative. But it's only like 303 00:16:25,080 --> 00:16:27,360 Speaker 1: when I tell that story people, I think they're going 304 00:16:27,440 --> 00:16:30,640 Speaker 1: to laugh or they're like, oh my goodness, they don't, 305 00:16:30,720 --> 00:16:33,440 Speaker 1: and like hearing you, hearing you tell that story, like 306 00:16:33,440 --> 00:16:34,840 Speaker 1: of what of what that must have been like like 307 00:16:34,880 --> 00:16:40,640 Speaker 1: walking into I just I'm I'm I'm so, I'm so shocked. 308 00:16:40,720 --> 00:16:44,080 Speaker 1: And I'm also it makes where we are now in 309 00:16:44,200 --> 00:16:46,160 Speaker 1: terms of this business that we're in, because I know 310 00:16:46,280 --> 00:16:49,440 Speaker 1: it is really local to what is happening in Hollywood, 311 00:16:49,440 --> 00:16:54,720 Speaker 1: where we are seeing significant change and inclusion is actively 312 00:16:54,800 --> 00:16:58,760 Speaker 1: being pursued, that I sort of feel like perhaps the 313 00:16:58,960 --> 00:17:03,920 Speaker 1: boat is turning, but still you you're so good humored 314 00:17:03,960 --> 00:17:06,920 Speaker 1: about something that is I thought that didn't happen after 315 00:17:06,920 --> 00:17:10,680 Speaker 1: Fisher Stevens like brown based in Short Search, which is 316 00:17:10,720 --> 00:17:12,960 Speaker 1: still one of the most insane things I've ever seen 317 00:17:13,000 --> 00:17:16,720 Speaker 1: in my life. Like now to watch that film, it's yeah, no, 318 00:17:16,920 --> 00:17:19,359 Speaker 1: it still happens. I mean, look, the reason I laugh 319 00:17:19,400 --> 00:17:22,240 Speaker 1: about it, the reason that I in in the book 320 00:17:22,280 --> 00:17:24,520 Speaker 1: and especially in the audiobook because I read it myself 321 00:17:24,880 --> 00:17:28,439 Speaker 1: for this particular reason is like, you know, the the 322 00:17:28,640 --> 00:17:30,840 Speaker 1: one of the many reasons that I laugh about things 323 00:17:30,880 --> 00:17:33,040 Speaker 1: like that, not that it doesn't happen. It happened. As 324 00:17:33,080 --> 00:17:35,600 Speaker 1: recently is the live action Aladdin, where a lot of 325 00:17:35,640 --> 00:17:39,119 Speaker 1: extras were painted apparently, and Disney, who I happily have 326 00:17:39,200 --> 00:17:40,840 Speaker 1: worked for and hope to continue to work for, I 327 00:17:41,119 --> 00:17:44,560 Speaker 1: think their their statement was something like, well, it wasn't 328 00:17:44,560 --> 00:17:47,920 Speaker 1: possible to hire enough brown background actors, and they were 329 00:17:47,960 --> 00:17:50,480 Speaker 1: they were shooting in fucking London. I mean, come on, really, 330 00:17:50,720 --> 00:17:53,280 Speaker 1: that's not what the real answer to that is. We 331 00:17:53,720 --> 00:17:57,800 Speaker 1: didn't want to invest the financial resources in getting them all. 332 00:17:58,280 --> 00:18:00,080 Speaker 1: It's not that they don't exist. Are you gonna have 333 00:18:00,119 --> 00:18:01,720 Speaker 1: to work a tiny bit harder to find them? Maybe? 334 00:18:02,119 --> 00:18:04,119 Speaker 1: And there were there were some lively conversations about it 335 00:18:04,119 --> 00:18:06,760 Speaker 1: where I think, thankfully, like you had mentioned, people within 336 00:18:06,800 --> 00:18:08,520 Speaker 1: the industry, we're like, oh, yeah, that's not a thing. 337 00:18:08,560 --> 00:18:11,080 Speaker 1: That's cool. We shouldn't. We shouldn't. We can we can 338 00:18:11,080 --> 00:18:13,879 Speaker 1: do better, right collect, we can better. But the biggest 339 00:18:13,880 --> 00:18:15,679 Speaker 1: reason I laugh about telling those stories is I'm so 340 00:18:15,760 --> 00:18:19,240 Speaker 1: happy with being able to turn on the TV today 341 00:18:19,440 --> 00:18:23,560 Speaker 1: and just seeing so much diversity in terms of content. 342 00:18:23,680 --> 00:18:27,320 Speaker 1: And I don't even just mean the ethnic or gender diversity. 343 00:18:27,400 --> 00:18:30,040 Speaker 1: I'm talking like you turn on some of these shows 344 00:18:30,080 --> 00:18:32,800 Speaker 1: and it's stuff that I couldn't have conceived of, would 345 00:18:32,840 --> 00:18:35,920 Speaker 1: would even be a show ten years ago, or something, 346 00:18:35,960 --> 00:18:38,480 Speaker 1: you know, something like never have I ever write so 347 00:18:38,480 --> 00:18:41,680 Speaker 1: many South Asian characters of a different generation like two 348 00:18:41,720 --> 00:18:44,120 Speaker 1: below mine. I never would have thought that we'd ever 349 00:18:44,119 --> 00:18:48,040 Speaker 1: see something like that. So it's I tell those stories 350 00:18:48,119 --> 00:18:50,479 Speaker 1: in a good natured way, I think, because I'm so 351 00:18:50,560 --> 00:18:54,080 Speaker 1: happy with how much our industry has progressed, And to 352 00:18:54,119 --> 00:18:56,960 Speaker 1: your point, there's obviously so much more work that still 353 00:18:56,960 --> 00:18:59,080 Speaker 1: needs to be done. But it's a nice I think 354 00:18:59,119 --> 00:19:01,560 Speaker 1: it's a nice moment in the last few years. Yeah, 355 00:19:01,640 --> 00:19:03,960 Speaker 1: I also think that I've realized that the way in 356 00:19:03,960 --> 00:19:08,280 Speaker 1: which people metabolize hard conversations is often when there is 357 00:19:08,480 --> 00:19:10,760 Speaker 1: and even though it seems to fall on the shoulder 358 00:19:10,760 --> 00:19:13,320 Speaker 1: of the person to whom that bad ship has happened, 359 00:19:14,000 --> 00:19:17,040 Speaker 1: but when you being able to tell it, tell that 360 00:19:17,160 --> 00:19:22,720 Speaker 1: story in such an erudite, funny, clever way. It's like, 361 00:19:23,160 --> 00:19:26,119 Speaker 1: but again, I find that awful because I'm like, oh, well, 362 00:19:26,200 --> 00:19:29,240 Speaker 1: you know, Cal's giving me permission to laugh and be 363 00:19:29,359 --> 00:19:32,439 Speaker 1: okay with this. You should laugh. Yeah, I feel like 364 00:19:32,520 --> 00:19:35,199 Speaker 1: it is it is better to laugh than to feel 365 00:19:35,240 --> 00:19:37,360 Speaker 1: still in a ditch around that stuff. And I laugh 366 00:19:37,400 --> 00:19:42,520 Speaker 1: telling the stories of being aggressed upon by revolting casting directors, 367 00:19:42,720 --> 00:19:46,159 Speaker 1: directors and whomever it was. Yeah, your point is so 368 00:19:46,400 --> 00:19:48,680 Speaker 1: well taken because it reminds me of I think it's 369 00:19:48,760 --> 00:19:53,320 Speaker 1: it's difficult if if these conversations are overly sanitized, it's 370 00:19:53,359 --> 00:19:57,480 Speaker 1: difficult to explain, Like I remember Twitter, By the way, 371 00:19:57,480 --> 00:20:01,040 Speaker 1: Twitter mentions obviously are not a good barometer on taking 372 00:20:01,040 --> 00:20:05,439 Speaker 1: the temperature on anything, but but whether it's whether it's 373 00:20:05,480 --> 00:20:07,639 Speaker 1: Twitter or people who will actually have conversations with you. 374 00:20:07,680 --> 00:20:10,040 Speaker 1: I remember a couple of people said, why are you 375 00:20:10,080 --> 00:20:13,119 Speaker 1: whining about something like like a Laddin brown face when 376 00:20:13,160 --> 00:20:16,840 Speaker 1: you played that that character in Van Wilder, And I 377 00:20:17,000 --> 00:20:20,439 Speaker 1: realized that if these conversations are overly sanitized, and you 378 00:20:20,480 --> 00:20:24,159 Speaker 1: don't have any experience with the story that somebody is 379 00:20:24,200 --> 00:20:28,480 Speaker 1: telling you, and if you've always grown up seeing characters 380 00:20:28,480 --> 00:20:31,119 Speaker 1: who look like you on screen, it's very difficult to 381 00:20:31,240 --> 00:20:35,159 Speaker 1: succinctly explain to somebody when you're absent from what you 382 00:20:35,200 --> 00:20:38,359 Speaker 1: see every day, from every cultural reference point, you feel 383 00:20:38,560 --> 00:20:41,680 Speaker 1: as a kid like your your options are limited in life. 384 00:20:41,960 --> 00:20:44,360 Speaker 1: You just feel that way. It just is I'm not 385 00:20:44,520 --> 00:20:47,640 Speaker 1: I'm not I'm not telling you that you should feel 386 00:20:47,640 --> 00:20:50,639 Speaker 1: differently because your experience isn't that. But your point I 387 00:20:50,640 --> 00:20:53,240 Speaker 1: think that you made about about casting directors and about 388 00:20:53,520 --> 00:20:56,000 Speaker 1: being pitted against each other is there's so much nuance 389 00:20:56,080 --> 00:20:59,160 Speaker 1: to these conversations and in order to actually tell those 390 00:20:59,200 --> 00:21:01,120 Speaker 1: stories again, which is why I try to use humor, 391 00:21:01,119 --> 00:21:05,000 Speaker 1: because I think it draws people into curiosity. Is then 392 00:21:05,040 --> 00:21:07,240 Speaker 1: I think it sets the tone for the complexity of 393 00:21:07,240 --> 00:21:09,359 Speaker 1: what that is and ultimately what we all want, which 394 00:21:09,440 --> 00:21:13,600 Speaker 1: is to move beyond that and celebrate what is possible 395 00:21:13,640 --> 00:21:17,920 Speaker 1: instead of just looking backwards. Absolutely, there is simply no 396 00:21:17,960 --> 00:21:21,359 Speaker 1: way of me, a white person, knowing what it is 397 00:21:21,400 --> 00:21:25,080 Speaker 1: like to not grow up seeing myself represented because it's 398 00:21:25,119 --> 00:21:28,240 Speaker 1: all I've I've ever known. And I think that, like 399 00:21:28,320 --> 00:21:30,119 Speaker 1: you said, what's happening now where you just turn on 400 00:21:30,160 --> 00:21:32,440 Speaker 1: the television and it's across the board. It's not just 401 00:21:32,560 --> 00:21:35,359 Speaker 1: about color or gender. It's about it's about everything that 402 00:21:35,400 --> 00:21:37,840 Speaker 1: has been marginalized and turned into fringe that is now 403 00:21:37,880 --> 00:21:40,879 Speaker 1: being pulled into this crucible of like cultural awareness, which 404 00:21:40,920 --> 00:21:44,919 Speaker 1: is that's how we change. It's where it's where change, 405 00:21:45,080 --> 00:22:03,520 Speaker 1: meaningful change happens. I think what relationship, real or fictionalized, 406 00:22:03,680 --> 00:22:12,240 Speaker 1: defines love? For you, the Muppets, I can tell from 407 00:22:12,280 --> 00:22:14,520 Speaker 1: the look on your face that nobody has said this before, 408 00:22:14,520 --> 00:22:17,359 Speaker 1: And I'm not sure if that's a good thing, But 409 00:22:17,640 --> 00:22:19,840 Speaker 1: I'm not now that you say it, I'm not sure 410 00:22:19,840 --> 00:22:22,240 Speaker 1: why no one has said it before, because of course 411 00:22:22,280 --> 00:22:26,679 Speaker 1: they define love, please please continue. Just it's love for 412 00:22:26,760 --> 00:22:31,400 Speaker 1: each other, obviously with all of the complexities that come 413 00:22:31,440 --> 00:22:33,760 Speaker 1: along with that. And I'm not just talking about Kermit 414 00:22:33,880 --> 00:22:37,080 Speaker 1: and Ms Piggy and a love for what they do, 415 00:22:37,280 --> 00:22:42,440 Speaker 1: because there's such an obvious love for the audience as 416 00:22:42,560 --> 00:22:46,680 Speaker 1: the the extension of that fourth wall, that it's all 417 00:22:46,720 --> 00:22:49,040 Speaker 1: a celebration of what they're doing. All of it is 418 00:22:49,040 --> 00:22:51,760 Speaker 1: based in the love of this collective thing. And I 419 00:22:51,800 --> 00:22:54,720 Speaker 1: just think it's the coolest thing. It's so true. What 420 00:22:54,880 --> 00:22:57,040 Speaker 1: was it? It's time to put on makeup, It's time 421 00:22:57,040 --> 00:23:00,119 Speaker 1: to like the whole thing is about the show. I 422 00:23:00,200 --> 00:23:03,560 Speaker 1: love that you chose the Muppets, and also that it's fictional, 423 00:23:03,800 --> 00:23:07,160 Speaker 1: because I often all my great loves have been fictional. 424 00:23:07,640 --> 00:23:09,239 Speaker 1: Did you watch a lot of Muppets when you were 425 00:23:09,240 --> 00:23:13,560 Speaker 1: a child? I did, and still Who is Your Well? 426 00:23:13,600 --> 00:23:15,919 Speaker 1: I was called animal at school. That was one of 427 00:23:15,960 --> 00:23:18,320 Speaker 1: my nicknames that people called me because I had crazy 428 00:23:18,560 --> 00:23:21,400 Speaker 1: hair and I was really sort of tall and thin 429 00:23:22,160 --> 00:23:28,040 Speaker 1: with had like the top of a palm tree. Who 430 00:23:28,119 --> 00:23:31,680 Speaker 1: is who is your most beloved Muppet? I have always 431 00:23:31,760 --> 00:23:34,960 Speaker 1: been gravitated towards Kermit. But I will tell you why. 432 00:23:35,040 --> 00:23:37,480 Speaker 1: I know that you assume it's because, okay, well, he's 433 00:23:37,520 --> 00:23:40,000 Speaker 1: like the leader, and you're you know, and the poet. 434 00:23:41,240 --> 00:23:44,280 Speaker 1: It's it is all of those things. But the real reason, 435 00:23:45,800 --> 00:23:48,480 Speaker 1: the real reason is that he is the only one 436 00:23:48,520 --> 00:23:51,800 Speaker 1: who appears on both The Muppet Show and Sesame Street. 437 00:23:52,720 --> 00:23:57,520 Speaker 1: He does both, and so I was always very very 438 00:23:57,600 --> 00:24:00,840 Speaker 1: in all of the fact that that dude had two jobs. 439 00:24:01,200 --> 00:24:03,760 Speaker 1: I could watch him in the morning on Sesame Street 440 00:24:04,040 --> 00:24:05,960 Speaker 1: and then he was also on The Muppet Show in 441 00:24:05,960 --> 00:24:09,680 Speaker 1: the evening. By the way, that is also a really 442 00:24:10,000 --> 00:24:14,919 Speaker 1: South Asian work ethic coming out right there. That is 443 00:24:15,160 --> 00:24:20,000 Speaker 1: fully cultural of Absolutely, that's one in the morning and 444 00:24:20,160 --> 00:24:23,640 Speaker 1: one in the evening. That's something that nineteen uncles would 445 00:24:23,640 --> 00:24:28,280 Speaker 1: probably point out. Yes, that's fantastic. I've never thought about that, 446 00:24:28,320 --> 00:24:34,320 Speaker 1: and you're absolutely right. I love Kermit. I love him. Also, 447 00:24:34,520 --> 00:24:37,720 Speaker 1: the Willie Nelson version of Rainbow Connection is honestly, I 448 00:24:37,720 --> 00:24:40,080 Speaker 1: don't think I've ever not cried listening to that song. 449 00:24:45,680 --> 00:24:52,040 Speaker 1: What question would you most like answered? Oh boy, I 450 00:24:52,119 --> 00:24:54,600 Speaker 1: was about to say, what happens after you die? But 451 00:24:54,680 --> 00:24:58,480 Speaker 1: the answer is nothing. Well, you don't know that. You 452 00:24:58,760 --> 00:25:02,680 Speaker 1: definitely don't know that that is the us. That's true, 453 00:25:02,760 --> 00:25:05,760 Speaker 1: that's true, that's true. I mean there's nothing, there's nothing 454 00:25:05,840 --> 00:25:10,040 Speaker 1: for your body. But I don't know who knows that 455 00:25:09,800 --> 00:25:15,280 Speaker 1: that that that the kinetic doesn't kicker carry on? Yeah, 456 00:25:15,359 --> 00:25:21,280 Speaker 1: I guess I would like answered where where specifically the 457 00:25:21,280 --> 00:25:26,720 Speaker 1: the closest civilization is outside of out Oh that's good. 458 00:25:27,200 --> 00:25:29,160 Speaker 1: And now you see I'm really thinking about that because 459 00:25:29,160 --> 00:25:32,120 Speaker 1: I've had all kinds of aliens and after we die answers, 460 00:25:32,119 --> 00:25:34,480 Speaker 1: which are always fun to think about, but actually thinking 461 00:25:35,040 --> 00:25:40,960 Speaker 1: where geographically or where whatever the word can you use 462 00:25:40,960 --> 00:25:44,080 Speaker 1: geographical if it's not pertaining like to the Earth surface, 463 00:25:44,119 --> 00:25:46,080 Speaker 1: that can you use that in the universe? Is should 464 00:25:46,080 --> 00:25:48,680 Speaker 1: there be a word we can We've just decided that 465 00:25:48,680 --> 00:25:53,040 Speaker 1: that's acceptable. Great. I'm so glad that the King and Queen. 466 00:25:55,240 --> 00:25:58,280 Speaker 1: What's the new telescope? What's the good the web? The 467 00:25:58,359 --> 00:26:01,680 Speaker 1: James Web telescope, which, by the way, someone wrote something 468 00:26:01,760 --> 00:26:04,840 Speaker 1: so funny. They were like the day after they showed 469 00:26:04,840 --> 00:26:08,159 Speaker 1: those pictures, they were like Hubble's waken up today, like 470 00:26:08,200 --> 00:26:14,200 Speaker 1: the before picture in a boat dogs had bless Hubble. 471 00:26:14,720 --> 00:26:18,080 Speaker 1: Do you think, though, that that exponential development of our 472 00:26:18,119 --> 00:26:20,120 Speaker 1: ability to go and do you think that's what will 473 00:26:20,160 --> 00:26:23,199 Speaker 1: help us answer questions like the one that you've just 474 00:26:23,560 --> 00:26:25,880 Speaker 1: I think so, yeah, I think so, I hope. So 475 00:26:26,080 --> 00:26:27,439 Speaker 1: how far off do you think we are? Do you 476 00:26:27,480 --> 00:26:31,040 Speaker 1: know you like astronomy? What do you somebody was saying 477 00:26:31,280 --> 00:26:36,080 Speaker 1: that the hope was in our lifetime. My god. I 478 00:26:36,160 --> 00:26:38,600 Speaker 1: was having this conversation with this man called David Eagleman, 479 00:26:38,640 --> 00:26:43,160 Speaker 1: who is this this neuroscientist, brilliant scientist person who teaches 480 00:26:43,160 --> 00:26:47,879 Speaker 1: at Stanford, And he was talking about the vastness of 481 00:26:47,880 --> 00:26:50,879 Speaker 1: our ignorance, the complexity and vasts of our ignorance, But 482 00:26:50,920 --> 00:26:53,280 Speaker 1: not in a way like ignorance has such a kind 483 00:26:53,320 --> 00:26:57,720 Speaker 1: of pejorative flavor, but in the like excited the vastness 484 00:26:57,720 --> 00:27:01,800 Speaker 1: of our ignorance, like within that is all of these answers, 485 00:27:01,920 --> 00:27:04,360 Speaker 1: and that if we keep exploring the varses of arguments, 486 00:27:04,359 --> 00:27:06,360 Speaker 1: that we will come across it. And I love that. 487 00:27:06,680 --> 00:27:10,000 Speaker 1: I love that idea because it's sort of becoming pioneers 488 00:27:10,600 --> 00:27:13,240 Speaker 1: of the unknown, like I mean, and and being excited 489 00:27:13,280 --> 00:27:17,640 Speaker 1: and curious about that as opposed to feeling bewildered and 490 00:27:17,640 --> 00:27:20,520 Speaker 1: and hopeless, which is how I often feel when I 491 00:27:20,560 --> 00:27:29,640 Speaker 1: think about the unknown, like where's my next job coming from? 492 00:27:29,680 --> 00:27:35,720 Speaker 1: What would be your last meal? Tackles? I love tackles. 493 00:27:36,440 --> 00:27:40,360 Speaker 1: They're really good tacos in New York. I don't think 494 00:27:40,400 --> 00:27:45,640 Speaker 1: anything compares obviously to Mexico, but l a Mexican food 495 00:27:45,680 --> 00:27:48,359 Speaker 1: in l A compared to New York, there's no there's 496 00:27:48,400 --> 00:27:52,080 Speaker 1: no comparison. California and Mexico are just that. There's there's 497 00:27:52,119 --> 00:27:54,919 Speaker 1: nowhere I've eaten. I've eaten tacos everywhere, and there's nowhere 498 00:27:54,920 --> 00:27:58,960 Speaker 1: like l A in Mexico. Yeah, my favorite taco spot 499 00:27:59,200 --> 00:28:04,120 Speaker 1: is still place called Los Tacos on Santa Monica. Bouli 500 00:28:04,200 --> 00:28:08,240 Speaker 1: are just west of Fairfax. It's in a strip mall 501 00:28:08,640 --> 00:28:11,919 Speaker 1: next to its sandwich, between a seven eleven and laundromat. 502 00:28:12,320 --> 00:28:15,160 Speaker 1: I used to live in the neighborhood fifteen years ago, 503 00:28:15,400 --> 00:28:18,360 Speaker 1: and that laundromat is where I used to do my laundry. 504 00:28:18,480 --> 00:28:20,920 Speaker 1: And so early in the morning you would see these 505 00:28:20,960 --> 00:28:24,359 Speaker 1: lines of construction workers getting their breakfast. At night you 506 00:28:24,359 --> 00:28:27,000 Speaker 1: would see a whole bunch of drunk people getting their 507 00:28:27,080 --> 00:28:30,000 Speaker 1: munkey food. So one day, while I was doing laundry, 508 00:28:30,000 --> 00:28:31,320 Speaker 1: I was like, let me see what the hype is 509 00:28:31,359 --> 00:28:36,040 Speaker 1: about here, and it was so delicious. It's open, and 510 00:28:36,200 --> 00:28:39,080 Speaker 1: I have been known to stop there to and or 511 00:28:39,240 --> 00:28:42,120 Speaker 1: from l A X. So like the plane lands and 512 00:28:42,160 --> 00:28:45,040 Speaker 1: I'm like, hey, can you guys give me an extra 513 00:28:45,200 --> 00:28:47,440 Speaker 1: forty minutes before the first meeting because I need to 514 00:28:47,480 --> 00:28:50,960 Speaker 1: hit up Los Tacos roll. Oh my god, I can't 515 00:28:51,040 --> 00:28:54,800 Speaker 1: wait to go that. I'm literally going up in town 516 00:28:54,800 --> 00:28:57,840 Speaker 1: on Monday. I'm going to Los Tacos. Okay, what do 517 00:28:57,880 --> 00:29:01,520 Speaker 1: you get number two? Which is, uh, two tacos rice 518 00:29:01,560 --> 00:29:07,320 Speaker 1: and beans? But what, senor are you I've done. Their 519 00:29:07,480 --> 00:29:10,239 Speaker 1: chicken and their veg their veggie are going to be 520 00:29:10,240 --> 00:29:13,200 Speaker 1: soft tacos and their chicken. You can get either soft 521 00:29:13,280 --> 00:29:16,200 Speaker 1: or hard. I'm really hungry now. Yeah, it's really good. 522 00:29:16,200 --> 00:29:19,560 Speaker 1: There's nothing father I would are you? Are you vegetarian? No? 523 00:29:20,400 --> 00:29:22,600 Speaker 1: I don't eat red, mate, but I eat I eat 524 00:29:22,640 --> 00:29:24,840 Speaker 1: a bit of chicken, and I eat fish. So a 525 00:29:24,840 --> 00:29:27,680 Speaker 1: funny story about that place. When I first started going there, 526 00:29:27,720 --> 00:29:32,160 Speaker 1: I was strictly a vegetarian, and I remember I remember 527 00:29:32,200 --> 00:29:35,240 Speaker 1: asking the guy. I was like, hey, man, I'd like 528 00:29:35,280 --> 00:29:37,520 Speaker 1: to try your number two. But are the beans and 529 00:29:37,600 --> 00:29:40,160 Speaker 1: rice vegetarian two? Or is there like lard in the 530 00:29:40,200 --> 00:29:43,400 Speaker 1: beans and chicken stock in the rice? And he goes, no, no, 531 00:29:43,400 --> 00:29:46,320 Speaker 1: no vegetarianos. And I was like, cool, awesome, I'll do that. 532 00:29:46,480 --> 00:29:48,160 Speaker 1: And it was so good that I've then been going 533 00:29:48,160 --> 00:29:51,840 Speaker 1: there for like eight years. My vegan brother came to 534 00:29:51,960 --> 00:29:54,360 Speaker 1: visit and I was like, I'm taking you to the spot, man, 535 00:29:55,040 --> 00:29:57,840 Speaker 1: the spot. We go to those tacos and he's like, well, 536 00:29:57,880 --> 00:29:59,680 Speaker 1: I'm gonna ask if everything's vegan. I was like, it's 537 00:29:59,760 --> 00:30:01,720 Speaker 1: vege gitarian. What else are they going to put in it? 538 00:30:01,960 --> 00:30:06,040 Speaker 1: I'm gonna ask anyway. So he asks and they go, oh, 539 00:30:06,240 --> 00:30:09,040 Speaker 1: it's a different person. And the person goes, oh, no, 540 00:30:09,120 --> 00:30:11,800 Speaker 1: it's not vegan. In fact, there's lard in the beans 541 00:30:11,920 --> 00:30:13,800 Speaker 1: and there's chicken stock in the rights. And I was like, 542 00:30:13,840 --> 00:30:17,239 Speaker 1: what wha time out? You told me no? And then 543 00:30:17,240 --> 00:30:19,320 Speaker 1: I was replaying it back in my head and so 544 00:30:19,480 --> 00:30:23,960 Speaker 1: clearly what the guy said was no vegetarian. Nos not 545 00:30:24,160 --> 00:30:29,120 Speaker 1: no comma veg know that there isn't anything that's vegetarian. 546 00:30:29,560 --> 00:30:32,680 Speaker 1: And I was so excited about these tacos that I 547 00:30:32,840 --> 00:30:37,000 Speaker 1: ate them anyway, thinking that he meant it's vegetaran. My 548 00:30:37,080 --> 00:30:39,600 Speaker 1: lovely yeah, yeah, who has helped me take care of 549 00:30:39,640 --> 00:30:41,800 Speaker 1: my son. When I asked her how she would make 550 00:30:41,840 --> 00:30:44,800 Speaker 1: her beans, I was like, I remember saying exactly the 551 00:30:44,800 --> 00:30:47,040 Speaker 1: same thing. I was like, are they are they vegetarian? 552 00:30:47,120 --> 00:30:49,880 Speaker 1: And she was like yes, And then she was like 553 00:30:50,360 --> 00:30:55,120 Speaker 1: except for the polk knuckle. It's all vegetarian except for 554 00:30:55,160 --> 00:30:57,120 Speaker 1: the pool knuckle that you cook in with the beans 555 00:30:57,120 --> 00:31:01,080 Speaker 1: to make them taste delicious. Yes, yes, exactly. Was I 556 00:31:01,200 --> 00:31:15,360 Speaker 1: loved that though, Oh my gosh, your poor brother in 557 00:31:15,920 --> 00:31:18,840 Speaker 1: your life. Can you tell me about something that has 558 00:31:18,960 --> 00:31:25,200 Speaker 1: grown out of a personal disaster? Yes, so, you know, 559 00:31:25,240 --> 00:31:28,240 Speaker 1: we've talked briefly about the brown face of it all 560 00:31:28,240 --> 00:31:33,160 Speaker 1: that I was laughing about. But experiences like that, we're 561 00:31:33,240 --> 00:31:37,880 Speaker 1: going on auditions where I would be for non actors. Here, 562 00:31:37,880 --> 00:31:40,200 Speaker 1: I'll give you the full disclaimer of every actor. When 563 00:31:40,240 --> 00:31:42,480 Speaker 1: you start out, the only thing you're allowed audition for 564 00:31:43,040 --> 00:31:47,680 Speaker 1: is what producers and casting directors think you look like, exactly. So, 565 00:31:47,680 --> 00:31:50,760 Speaker 1: so my version of that obviously has ethnic and racial undertones, 566 00:31:50,800 --> 00:31:53,240 Speaker 1: because the late nineties and early two thousand's for somebody 567 00:31:53,280 --> 00:31:55,000 Speaker 1: who looked like me, we're a lot more about that 568 00:31:55,040 --> 00:31:58,000 Speaker 1: than anything else. So I would go on auditions and 569 00:31:58,040 --> 00:32:00,600 Speaker 1: it seemed like I was only getting auditions for parts 570 00:32:00,640 --> 00:32:04,280 Speaker 1: that were already written to be Saltatian or or Latin 571 00:32:04,440 --> 00:32:07,120 Speaker 1: X frankly, or like you could pass. And a lot 572 00:32:07,160 --> 00:32:09,320 Speaker 1: of those are are the you know, sort of one 573 00:32:09,360 --> 00:32:13,280 Speaker 1: dimensional stereotypes. And I had always sort of said to myself, 574 00:32:13,280 --> 00:32:16,560 Speaker 1: you know, an accent alone does not make a stereotype. 575 00:32:16,560 --> 00:32:19,240 Speaker 1: Plenty of people have accents, and the stereotype comes from 576 00:32:19,560 --> 00:32:22,600 Speaker 1: accents that are added in a reductionist way, meaning the 577 00:32:22,640 --> 00:32:27,239 Speaker 1: producers know the writing sucks, therefore covered up with an 578 00:32:27,240 --> 00:32:31,400 Speaker 1: accent and people will laugh. Right. And I realized that 579 00:32:31,480 --> 00:32:33,840 Speaker 1: early on on on, you know, audition for things like 580 00:32:34,080 --> 00:32:38,280 Speaker 1: Sabrina the Teenage, which which you know, a sweet show 581 00:32:38,360 --> 00:32:40,160 Speaker 1: and it's for kids. And I remember going on this 582 00:32:40,200 --> 00:32:42,960 Speaker 1: audition and the audition was three lines, and I was 583 00:32:43,000 --> 00:32:44,960 Speaker 1: so excited that idea. I was like, you know, I'm 584 00:32:44,960 --> 00:32:47,840 Speaker 1: going to create a backstory for my character. So I 585 00:32:47,960 --> 00:32:50,040 Speaker 1: was like, it's three lines. I don't care. Okay, this 586 00:32:50,120 --> 00:32:52,720 Speaker 1: guy is from the Pacific Northwest. He's maybe grow up 587 00:32:52,720 --> 00:32:55,040 Speaker 1: outside of Seattle, and he wears a lot of flannels, 588 00:32:55,080 --> 00:32:58,240 Speaker 1: and he loves small batch organic coffee and like maybe 589 00:32:58,240 --> 00:33:00,280 Speaker 1: he tried to brew beer once in his bad tub 590 00:33:00,280 --> 00:33:02,320 Speaker 1: and it didn't go well, like things like I think 591 00:33:02,480 --> 00:33:04,360 Speaker 1: it had nothing to do with the stupid three lines 592 00:33:04,400 --> 00:33:06,800 Speaker 1: about the study group, right, But I went into this 593 00:33:06,840 --> 00:33:10,320 Speaker 1: audition confident and with all this backstory and uh, the 594 00:33:10,320 --> 00:33:12,880 Speaker 1: cashing new corector. I remember ran out as I was 595 00:33:12,920 --> 00:33:15,800 Speaker 1: getting to my car and he said, hey, the producers 596 00:33:15,800 --> 00:33:18,000 Speaker 1: would love for you to do it again. And I 597 00:33:18,040 --> 00:33:20,160 Speaker 1: was like, oh, this is awesome. And so as I'm 598 00:33:20,200 --> 00:33:22,479 Speaker 1: about to walk back in the room, he goes, this 599 00:33:22,560 --> 00:33:26,600 Speaker 1: time with an accent, and I was like, okay, there 600 00:33:26,640 --> 00:33:28,880 Speaker 1: is a bit of coercion, as you mentioned that, the 601 00:33:28,960 --> 00:33:31,360 Speaker 1: things that you're made to feel like you have to withstand. 602 00:33:31,880 --> 00:33:33,960 Speaker 1: But ultimately I could have said no, I could have 603 00:33:33,960 --> 00:33:35,239 Speaker 1: walked out of there. But the thing that went through 604 00:33:35,280 --> 00:33:37,760 Speaker 1: my head was, Okay, this job pays about seven bucks 605 00:33:37,800 --> 00:33:40,920 Speaker 1: my rent is month, and this is going to be 606 00:33:40,920 --> 00:33:43,440 Speaker 1: a credit on a resume that's currently non existent. So 607 00:33:44,440 --> 00:33:47,000 Speaker 1: I should probably do this because that's what happened hundreds 608 00:33:47,000 --> 00:33:48,280 Speaker 1: of times, right. And so the thing that I would 609 00:33:48,280 --> 00:33:49,680 Speaker 1: always say when they would say we'd like you to 610 00:33:49,680 --> 00:33:51,600 Speaker 1: do with an accent, is sure, what kind of accent 611 00:33:51,600 --> 00:33:55,120 Speaker 1: would you like? I can do Scottish, Irish, Southern Italian. 612 00:33:55,200 --> 00:33:57,040 Speaker 1: You know. I would just go off and they were 613 00:33:57,080 --> 00:34:00,600 Speaker 1: never amused, but they in this case, the director, who's 614 00:34:01,120 --> 00:34:03,400 Speaker 1: a real prick, leaned in and he goes, uh, why 615 00:34:03,400 --> 00:34:07,360 Speaker 1: don't we just stick to Indian? So I said, Okay, 616 00:34:07,400 --> 00:34:09,239 Speaker 1: I did the audition and I walked out of there 617 00:34:09,280 --> 00:34:12,040 Speaker 1: not feeling great, and so I went back to my apartment. 618 00:34:12,040 --> 00:34:15,320 Speaker 1: I called my agent to tell her what had happened, 619 00:34:15,320 --> 00:34:18,320 Speaker 1: and she she picked up the phone ands at congratulations, 620 00:34:18,360 --> 00:34:21,280 Speaker 1: They called you got the part. I felt so disappointed, 621 00:34:21,400 --> 00:34:23,040 Speaker 1: like I was almost hoping I wasn't going to get 622 00:34:23,080 --> 00:34:24,439 Speaker 1: the part because I didn't want to have to deal 623 00:34:24,480 --> 00:34:27,040 Speaker 1: with what this was going to be. And I immediately 624 00:34:27,160 --> 00:34:30,120 Speaker 1: felt like, the hell is this? This sucks. When my 625 00:34:30,280 --> 00:34:33,600 Speaker 1: friends get their first few roles, we all go out 626 00:34:33,640 --> 00:34:36,000 Speaker 1: for drinks and we celebrate and we encourage each other 627 00:34:36,000 --> 00:34:39,279 Speaker 1: and they're excited that they're playing the frat boy from 628 00:34:39,640 --> 00:34:42,840 Speaker 1: Indiana or whatever. How Come I don't get to be happy. 629 00:34:42,880 --> 00:34:45,480 Speaker 1: I don't get to celebrate because I I don't want 630 00:34:45,480 --> 00:34:48,839 Speaker 1: to do the stereotypical thing. So I said to the agent, 631 00:34:48,920 --> 00:34:50,200 Speaker 1: is there any what you could call them and say 632 00:34:50,200 --> 00:34:51,719 Speaker 1: that I'll only do it if if I can just 633 00:34:51,760 --> 00:34:54,560 Speaker 1: play it the way I did before, like the dude 634 00:34:54,560 --> 00:34:58,239 Speaker 1: from the Pacific Northwest, And she goes my experiences that 635 00:34:58,280 --> 00:35:00,560 Speaker 1: generally agents are the worst people to have this conversation. 636 00:35:00,640 --> 00:35:02,920 Speaker 1: What you should do is like, so if you know 637 00:35:03,000 --> 00:35:05,239 Speaker 1: you're taking anyway, why don't you go early, Go in 638 00:35:05,320 --> 00:35:07,680 Speaker 1: a half hour early, talk to the director and see 639 00:35:07,719 --> 00:35:09,200 Speaker 1: if you can make your case. So I went in 640 00:35:09,200 --> 00:35:11,640 Speaker 1: a half hour early. I found the director and he 641 00:35:11,760 --> 00:35:13,759 Speaker 1: was very nice to me, unlike at the audition, and 642 00:35:13,760 --> 00:35:15,520 Speaker 1: I said, hey, man, thank you. You buttered him up. 643 00:35:15,520 --> 00:35:17,840 Speaker 1: Thank you so much for having me. What a fun 644 00:35:17,840 --> 00:35:22,040 Speaker 1: script um I was. I was hoping that I could 645 00:35:22,040 --> 00:35:23,520 Speaker 1: play him the way I did it in the first 646 00:35:23,560 --> 00:35:26,759 Speaker 1: round of my audition, without an accent. And he goes, oh, no, 647 00:35:26,920 --> 00:35:28,839 Speaker 1: that accents hilarious. You're you're going to do it. That's 648 00:35:28,880 --> 00:35:31,520 Speaker 1: why we hired you. And and so then again in 649 00:35:31,560 --> 00:35:33,480 Speaker 1: my head, I'm like, ah, because you know, the writing 650 00:35:33,520 --> 00:35:36,480 Speaker 1: was subpar. There we go, and then I this voice 651 00:35:36,480 --> 00:35:37,680 Speaker 1: came into my head that was like, you know, they 652 00:35:37,719 --> 00:35:40,520 Speaker 1: say that racism comes from ignorance, so perhaps he doesn't 653 00:35:40,560 --> 00:35:42,920 Speaker 1: even know, you know, And and I don't want to 654 00:35:42,960 --> 00:35:45,720 Speaker 1: presume the guy knows or feels things that he doesn't. 655 00:35:45,760 --> 00:35:48,880 Speaker 1: So I said, I gotta be honest. My little cousin's 656 00:35:48,960 --> 00:35:51,400 Speaker 1: love this show and they're you know, they're like in 657 00:35:51,520 --> 00:35:53,839 Speaker 1: fourth grade. I just thought it would be so cool 658 00:35:53,880 --> 00:35:56,840 Speaker 1: if they could watch a character and experience something that 659 00:35:56,880 --> 00:35:59,680 Speaker 1: I never got to experience, and like see themselves in 660 00:35:59,719 --> 00:36:02,160 Speaker 1: a way that that I never got to see myself 661 00:36:02,760 --> 00:36:05,399 Speaker 1: and laugh with the character instead of being laughed at. 662 00:36:06,160 --> 00:36:09,080 Speaker 1: And he looks at me and he goes, uh, well, 663 00:36:09,400 --> 00:36:11,920 Speaker 1: your cousins should feel lucky that you're allowed to be 664 00:36:11,960 --> 00:36:14,799 Speaker 1: on TV to begin with, and so should you. And 665 00:36:14,880 --> 00:36:17,880 Speaker 1: he walks off. So my first thought was, oh, okay, 666 00:36:17,920 --> 00:36:23,200 Speaker 1: so it's not that ignorance sequels racism sometimes like there's 667 00:36:23,200 --> 00:36:25,880 Speaker 1: a prick who knows exactly what he's doing and he 668 00:36:25,920 --> 00:36:28,239 Speaker 1: just doesn't give a shit. But then the second part 669 00:36:28,280 --> 00:36:30,759 Speaker 1: was again, could I have left? Of course today? Was 670 00:36:30,800 --> 00:36:33,120 Speaker 1: anybody forcing me to do anything? No? I was the 671 00:36:33,120 --> 00:36:35,520 Speaker 1: one who decided that this is what I wanted to 672 00:36:35,560 --> 00:36:38,799 Speaker 1: do to get a credit on my resume. But the 673 00:36:38,840 --> 00:36:40,960 Speaker 1: big takeaway from me was that and it is a 674 00:36:41,000 --> 00:36:43,000 Speaker 1: story that I tell him the audiobook in the book, 675 00:36:43,080 --> 00:36:46,680 Speaker 1: not because I want somebody to IMDb this guy, although 676 00:36:46,719 --> 00:36:52,920 Speaker 1: you're certainly welcome to, but them the idea that it's 677 00:36:52,960 --> 00:36:56,160 Speaker 1: but truly, I mean, it's like this is uh, these 678 00:36:56,160 --> 00:36:58,319 Speaker 1: things are all systemic, right, It's not about this one 679 00:36:58,320 --> 00:37:00,560 Speaker 1: guy or this girl show. It's a out the things 680 00:37:00,560 --> 00:37:04,560 Speaker 1: that thankfully we have slowly but surely moved on from 681 00:37:04,600 --> 00:37:07,319 Speaker 1: so so that story that I just told you, there 682 00:37:07,360 --> 00:37:11,279 Speaker 1: were like probably stories like that over a period of 683 00:37:11,280 --> 00:37:13,759 Speaker 1: five or six years. And there was a point where 684 00:37:13,800 --> 00:37:17,000 Speaker 1: I basically was like I would see audition sides and 685 00:37:17,040 --> 00:37:19,200 Speaker 1: I would know exactly what they wanted, and I wouldn't 686 00:37:19,200 --> 00:37:21,600 Speaker 1: prepare at all because I saw, you know, okay, it's 687 00:37:21,600 --> 00:37:24,040 Speaker 1: a guy named Abduel from Pakistan. I know exactly what 688 00:37:24,040 --> 00:37:26,400 Speaker 1: they're gonna ask for. Do I even want to bother? 689 00:37:26,600 --> 00:37:28,879 Speaker 1: And then on the rare occasion when I was like, oh, 690 00:37:28,920 --> 00:37:32,360 Speaker 1: it's a guy named Justin from Milwaukee. While I'm obviously 691 00:37:32,400 --> 00:37:34,279 Speaker 1: not going to get that part, So the same thing 692 00:37:34,520 --> 00:37:37,000 Speaker 1: I wouldn't prepare, I wouldn't come up with the backstory. 693 00:37:37,200 --> 00:37:39,960 Speaker 1: I would sometimes go on the audition and and so 694 00:37:40,120 --> 00:37:42,279 Speaker 1: there was a moment after a long time of doing 695 00:37:42,280 --> 00:37:44,640 Speaker 1: this where I just realized, what the funk are you doing? Man? 696 00:37:45,280 --> 00:37:49,040 Speaker 1: Like you've already decided before you audition that you're not 697 00:37:49,120 --> 00:37:52,080 Speaker 1: getting this part. You've just decided that, so you're not 698 00:37:52,120 --> 00:37:53,920 Speaker 1: putting any work in, You're just showing up. Why are 699 00:37:53,960 --> 00:37:56,279 Speaker 1: you even showing up for this? If this isn't something 700 00:37:56,280 --> 00:37:58,239 Speaker 1: you're passionate about, or that you want to figure out 701 00:37:58,280 --> 00:38:01,680 Speaker 1: strategically how to build career and what sacrifices a you're 702 00:38:01,680 --> 00:38:03,640 Speaker 1: gonna have to make before you have the chance to 703 00:38:03,680 --> 00:38:06,560 Speaker 1: call it a career then do something else. And so 704 00:38:06,600 --> 00:38:08,120 Speaker 1: I was like, Okay, I'm gonna take the l's at, 705 00:38:08,160 --> 00:38:09,800 Speaker 1: I'm gonna take you know, I'm gonna go to law school. 706 00:38:09,800 --> 00:38:12,880 Speaker 1: I'm gonna do something else. And that from that darkness, 707 00:38:13,000 --> 00:38:15,960 Speaker 1: that realization that I know a lot of artists, period 708 00:38:16,280 --> 00:38:18,960 Speaker 1: musicians say this stuff a lot, athletes say this a 709 00:38:18,960 --> 00:38:22,040 Speaker 1: lot where it's the difference between it like, it's not 710 00:38:22,120 --> 00:38:24,520 Speaker 1: a choice, right, you have to do it. So when 711 00:38:24,560 --> 00:38:26,359 Speaker 1: I when I had made the decision that maybe this 712 00:38:26,400 --> 00:38:29,760 Speaker 1: isn't what I want to do, immediately I was like, no, 713 00:38:29,960 --> 00:38:32,839 Speaker 1: that's wrong. This is what I have to do. This 714 00:38:32,920 --> 00:38:35,680 Speaker 1: is what I am passionate about, this form of storytelling. 715 00:38:36,239 --> 00:38:39,440 Speaker 1: And so that means so I reevaluated everything. From that point, 716 00:38:39,480 --> 00:38:41,319 Speaker 1: I was like, I'm going to have to start saying 717 00:38:41,320 --> 00:38:45,600 Speaker 1: no to certain auditions. There's nothing wrong with saying no 718 00:38:45,719 --> 00:38:48,680 Speaker 1: to them, and I shouldn't consider it a personal assault. 719 00:38:48,760 --> 00:38:51,360 Speaker 1: Every time I see audition sides that are boring and 720 00:38:51,480 --> 00:38:55,120 Speaker 1: racist and understand that the reason that I find them 721 00:38:55,160 --> 00:38:58,919 Speaker 1: so abhorrent, aside from obviously racist, sit is really bad. 722 00:38:59,040 --> 00:39:01,600 Speaker 1: But but a lot of the reason creatively that I 723 00:39:01,600 --> 00:39:04,520 Speaker 1: find it so exhausting is that it's boring. I wish 724 00:39:04,560 --> 00:39:06,400 Speaker 1: there was a word could talk about this without it 725 00:39:07,360 --> 00:39:10,880 Speaker 1: drawing equivalency, because there is not equivalency. Racism is racism, 726 00:39:10,960 --> 00:39:14,600 Speaker 1: and sexism is sexism. That they're they're different, their systemic problems, 727 00:39:14,640 --> 00:39:18,840 Speaker 1: but they're different. But I cannot tell you the familiarity 728 00:39:18,920 --> 00:39:21,239 Speaker 1: of what you're saying, of the sensation of looking at 729 00:39:21,280 --> 00:39:25,920 Speaker 1: something of a woman being an adjunct to a man 730 00:39:26,080 --> 00:39:29,440 Speaker 1: perpetually through a career, that if you're lucky, you can 731 00:39:29,520 --> 00:39:31,640 Speaker 1: massage it, if you're clever and you're smart, and you 732 00:39:31,680 --> 00:39:33,400 Speaker 1: make it seem like it was all the guys in 733 00:39:33,400 --> 00:39:35,960 Speaker 1: the room's idea for this woman to become more interesting 734 00:39:35,960 --> 00:39:39,360 Speaker 1: and more intelligent, then you can up the experience. But 735 00:39:40,160 --> 00:39:42,879 Speaker 1: I actually did leave Hollywood. I actually left and went 736 00:39:43,280 --> 00:39:46,520 Speaker 1: to Hawaii. And when I can't, I can't do this anymore. 737 00:39:46,840 --> 00:39:50,160 Speaker 1: I can't. I can't keep fighting for and and be 738 00:39:50,239 --> 00:39:52,520 Speaker 1: told that I should be grateful for the mediocrity that 739 00:39:52,560 --> 00:39:55,680 Speaker 1: I'm being offered, how do you continue to believe that 740 00:39:55,680 --> 00:39:59,280 Speaker 1: you're good at something if that is perpetually you're perpetually 741 00:39:59,320 --> 00:40:01,319 Speaker 1: being told this is a good part and you read 742 00:40:01,320 --> 00:40:04,440 Speaker 1: it and you go it isn't It is an overly 743 00:40:04,800 --> 00:40:08,759 Speaker 1: sexualized adjunct to this dude story. So that recognition of 744 00:40:08,800 --> 00:40:10,359 Speaker 1: either I do this and I figure out a way 745 00:40:10,640 --> 00:40:14,160 Speaker 1: of staying connected to what I want to do and 746 00:40:14,239 --> 00:40:18,000 Speaker 1: say no to those things and maybe have some leaner 747 00:40:18,120 --> 00:40:20,680 Speaker 1: years because I just go, no, I'm not going to 748 00:40:20,800 --> 00:40:23,080 Speaker 1: do that shitty fucking movie, even though it's big, because 749 00:40:23,120 --> 00:40:25,319 Speaker 1: it's dumb and it's stupid and it's perpetuating an idea 750 00:40:25,320 --> 00:40:29,040 Speaker 1: about women. But you're absolutely right, like there's enormous freedom 751 00:40:29,040 --> 00:40:31,600 Speaker 1: in reaching that moment, but it's also pretty terrifying. I 752 00:40:31,920 --> 00:40:35,080 Speaker 1: am really I understand. I understand that choice that I 753 00:40:35,120 --> 00:40:37,880 Speaker 1: think those comparisons, while you're right, they are, they are different, 754 00:40:37,920 --> 00:40:40,600 Speaker 1: But I think it's it's it's a very fair more 755 00:40:40,640 --> 00:40:43,040 Speaker 1: than a fair comparison, because that's the systemic stuff that 756 00:40:43,080 --> 00:40:45,719 Speaker 1: I think we're talking about, right, And that idea that 757 00:40:45,840 --> 00:40:48,240 Speaker 1: when when I was at that low point of saying 758 00:40:48,440 --> 00:40:50,080 Speaker 1: I'm going to say no to certain things and I'm 759 00:40:50,120 --> 00:40:52,520 Speaker 1: going to recognize that one of the reasons I felt 760 00:40:52,520 --> 00:40:54,759 Speaker 1: so disappointed that I wasn't able to go out and 761 00:40:54,800 --> 00:40:57,440 Speaker 1: celebrate with friends when I would get these small jobs. 762 00:40:58,040 --> 00:41:00,279 Speaker 1: I was trying to figure out what, what what did 763 00:41:00,280 --> 00:41:01,680 Speaker 1: I actually have a problem with him? Like I said, 764 00:41:01,719 --> 00:41:04,480 Speaker 1: it's not that it's just an accent, it's recognizing that 765 00:41:04,520 --> 00:41:07,799 Speaker 1: an accent is is a reductionist way of covering up 766 00:41:07,800 --> 00:41:10,719 Speaker 1: shitty writing or that you know this idea that you 767 00:41:10,960 --> 00:41:13,600 Speaker 1: hear people say this a lot. Unfortunately, things like he 768 00:41:13,640 --> 00:41:16,200 Speaker 1: had to play a seven eleven owner. I'm sorry, is 769 00:41:16,200 --> 00:41:19,600 Speaker 1: a seven eleven store clerk somehow a less than noble profession? 770 00:41:19,880 --> 00:41:23,160 Speaker 1: Are these guys not working sixteen hours a day? What 771 00:41:23,200 --> 00:41:27,120 Speaker 1: people mean to say is that that reductionism of a profession, 772 00:41:27,320 --> 00:41:30,480 Speaker 1: especially a working class profession, tied to a character that 773 00:41:30,560 --> 00:41:34,160 Speaker 1: has no other merit or actionable agency in a piece 774 00:41:34,640 --> 00:41:38,080 Speaker 1: except for their profession and their ethnicity, is by definition 775 00:41:38,160 --> 00:41:42,839 Speaker 1: what creates a stereotype. So the kind of analyzing all 776 00:41:42,880 --> 00:41:45,839 Speaker 1: that and then being like and basically I'm like in 777 00:41:45,880 --> 00:41:48,879 Speaker 1: my early twenties at this point, I want to play cool, fun, 778 00:41:48,920 --> 00:41:51,440 Speaker 1: interesting characters. I don't want to play characters that we're 779 00:41:51,480 --> 00:41:55,359 Speaker 1: already played eighteen times on The Simpsons. But like we've 780 00:41:55,440 --> 00:41:57,160 Speaker 1: we've seen it all before, you know what I mean, 781 00:41:57,160 --> 00:42:00,520 Speaker 1: We don't have to the definition, especially they who loves 782 00:42:00,560 --> 00:42:03,879 Speaker 1: comedy like comedy continues to evolve in great ways when 783 00:42:03,880 --> 00:42:06,839 Speaker 1: you have great writers. It's lazy if you always look 784 00:42:06,920 --> 00:42:09,680 Speaker 1: backwards for what worked before, because that's already been done 785 00:42:09,760 --> 00:42:12,759 Speaker 1: exactly to do. So that whole conversation was part of 786 00:42:12,800 --> 00:42:14,839 Speaker 1: what came out of that. For me, Where were you 787 00:42:14,960 --> 00:42:23,040 Speaker 1: at mentally when Lawrence what was his last name on House? Cutner? When? When? When? 788 00:42:23,440 --> 00:42:27,319 Speaker 1: When that character came along? Where were you at in 789 00:42:27,440 --> 00:42:31,200 Speaker 1: terms of of your career and how you were seeing 790 00:42:31,239 --> 00:42:33,719 Speaker 1: it and how engaged you were with the kind of 791 00:42:33,760 --> 00:42:35,920 Speaker 1: work that you wanted to do. Yeah, thank you for 792 00:42:36,000 --> 00:42:39,759 Speaker 1: asking me that question, because that is one of one 793 00:42:39,800 --> 00:42:42,279 Speaker 1: of the thankfully many, because I feel like we've only 794 00:42:42,280 --> 00:42:45,960 Speaker 1: talked about the problematic one so far. Wonderful audition process. 795 00:42:46,360 --> 00:42:50,960 Speaker 1: So David Shore, who created House, I love him. I'm 796 00:42:51,040 --> 00:42:54,880 Speaker 1: honestly a devoted David Shaw fan for the rest of 797 00:42:54,920 --> 00:42:57,239 Speaker 1: my life. Yeah. When I was on House, they were 798 00:42:57,280 --> 00:43:00,840 Speaker 1: adding I think six or six or nine characters. We 799 00:43:00,880 --> 00:43:03,960 Speaker 1: had to compete our characters were competing for permanent slots. 800 00:43:04,480 --> 00:43:06,600 Speaker 1: First of all, it was men and women alike, and 801 00:43:06,680 --> 00:43:09,200 Speaker 1: the age range of those characters was like, you know, 802 00:43:09,320 --> 00:43:14,080 Speaker 1: twenty two to seventy. And I remember going in for 803 00:43:14,120 --> 00:43:16,960 Speaker 1: the audition and I was given sides of a Mormon 804 00:43:17,120 --> 00:43:21,480 Speaker 1: doctor and I thought, somebody has made a terrible mistake, 805 00:43:21,800 --> 00:43:24,680 Speaker 1: or they seriously think that I could play a Mormon doctor, 806 00:43:25,040 --> 00:43:26,919 Speaker 1: whichever it is. That's crazy. And then I walked into 807 00:43:26,920 --> 00:43:30,640 Speaker 1: the audition and it's men and women twenty two to 808 00:43:30,880 --> 00:43:34,280 Speaker 1: seventy in the same waiting room, with the same sets 809 00:43:34,280 --> 00:43:37,520 Speaker 1: of such amazing, amazing and I'm like, what is this? 810 00:43:37,760 --> 00:43:41,839 Speaker 1: Surely is this what color blind casting looks like? Uh? 811 00:43:41,880 --> 00:43:44,360 Speaker 1: And even gender blind casting to some extent. And so I, 812 00:43:44,560 --> 00:43:47,399 Speaker 1: you know, callback after callback we're realizing they're whittling things down. 813 00:43:47,400 --> 00:43:49,560 Speaker 1: And they must have been two years later when I 814 00:43:49,600 --> 00:43:51,400 Speaker 1: had really gotten to know David that I had the 815 00:43:51,440 --> 00:43:54,200 Speaker 1: guts to ask him, hey, man, what was the deal 816 00:43:54,239 --> 00:43:56,600 Speaker 1: with that audition? Why was it like that? And I 817 00:43:56,640 --> 00:43:59,239 Speaker 1: described it exactly as I just did with you, and 818 00:43:59,320 --> 00:44:02,160 Speaker 1: David goes, what are you talking about? And I said, 819 00:44:02,239 --> 00:44:04,440 Speaker 1: come on, David, that is how you ran that audition, 820 00:44:04,600 --> 00:44:06,120 Speaker 1: And he goes, no, No, I know that's how I 821 00:44:06,200 --> 00:44:08,760 Speaker 1: run all my auditions. What do you what's your actual question? 822 00:44:09,200 --> 00:44:10,480 Speaker 1: I said, well, why do it that way? You know? 823 00:44:10,560 --> 00:44:12,680 Speaker 1: Usually if I'm reading for something, it's either people who 824 00:44:12,719 --> 00:44:15,000 Speaker 1: sort of look like me or I feel like I'm 825 00:44:15,040 --> 00:44:17,080 Speaker 1: never going to get the part. And he goes, oh, 826 00:44:17,200 --> 00:44:18,560 Speaker 1: I just do it that way because I want to 827 00:44:18,600 --> 00:44:20,000 Speaker 1: hire the best actors. How are you going to find 828 00:44:20,000 --> 00:44:21,920 Speaker 1: the best actors if you don't open it up like that? 829 00:44:22,880 --> 00:44:24,600 Speaker 1: And I'm like, this is why you're so good at 830 00:44:24,600 --> 00:44:27,080 Speaker 1: what you do, you know, So I like that that 831 00:44:27,200 --> 00:44:30,920 Speaker 1: is going that's happening at the same time as the 832 00:44:31,000 --> 00:44:33,759 Speaker 1: other shitty stuff that you're talking about. No, there was 833 00:44:33,760 --> 00:44:35,400 Speaker 1: a lot of there's a lot of great stuff. I 834 00:44:35,440 --> 00:44:37,160 Speaker 1: definitely don't want to make it sound like it's a 835 00:44:37,880 --> 00:44:41,120 Speaker 1: it's a ship fest. No, it's part of it that 836 00:44:41,600 --> 00:44:44,160 Speaker 1: two things can be true at once, more than two things. 837 00:44:44,600 --> 00:44:46,760 Speaker 1: Because it must have been amazing with hald and Kuma, 838 00:44:47,080 --> 00:44:50,680 Speaker 1: like fat incredible. I loved it. To an Asian actor, 839 00:44:50,760 --> 00:44:54,880 Speaker 1: a south as An actor running that movie, yeah, and 840 00:44:54,920 --> 00:44:57,520 Speaker 1: it was all it was a happy experience. Loved it. 841 00:44:57,719 --> 00:45:01,000 Speaker 1: Oh yeah, and John Show and I are clothed the 842 00:45:01,000 --> 00:45:07,200 Speaker 1: whole team. You guys are both just assompletely hilarious. Oh Cal, 843 00:45:07,360 --> 00:45:11,000 Speaker 1: It's been such a pleasure talking to you. Likewise, Thank you. 844 00:45:13,600 --> 00:45:16,640 Speaker 1: Cal's new memoir, You Can't Be Serious, is out now 845 00:45:16,760 --> 00:45:20,040 Speaker 1: in paperback and audiobook. You can also see Cal in 846 00:45:20,080 --> 00:45:26,440 Speaker 1: the Santa Clauses on Disney Plus. Mini Questions is hosted 847 00:45:26,480 --> 00:45:31,040 Speaker 1: and written by Me Mini Driver, supervising producer Aaron Kaufman, 848 00:45:31,880 --> 00:45:39,280 Speaker 1: Producer Morgan Levoy, Research assistant Marissa Brown. Original music Sorry 849 00:45:39,320 --> 00:45:45,400 Speaker 1: Baby by Mini Driver, Additional music by Aaron Kaufman, executive 850 00:45:45,400 --> 00:45:49,680 Speaker 1: produced by Me Mini Driver. Special thanks to Jim Nikolay, 851 00:45:50,480 --> 00:45:55,960 Speaker 1: Will Pearson, Addison No Day, Lisa Castella and Nique Oppenheim 852 00:45:55,960 --> 00:46:01,440 Speaker 1: at w kPr, de La Pescador, Kateree Driver and Jason Weinberg, 853 00:46:02,080 --> 00:46:07,160 Speaker 1: and for constantly solicited tech support Henry Driver h