1 00:00:05,519 --> 00:00:08,559 Speaker 1: You take somebody my age. Born in December of ninety eight, 2 00:00:08,960 --> 00:00:12,479 Speaker 1: I'm twenty four. I was I think two years old 3 00:00:12,520 --> 00:00:15,560 Speaker 1: when nine to eleven happened. I was going to middle 4 00:00:15,600 --> 00:00:18,520 Speaker 1: school when the Great Recession happened. I was graduated in 5 00:00:18,600 --> 00:00:21,800 Speaker 1: high school when the twenty sixteen presidential election happened. I 6 00:00:21,840 --> 00:00:24,880 Speaker 1: graduated college in twenty twenty when the pandemic hit the 7 00:00:24,880 --> 00:00:28,360 Speaker 1: capitol riots happened, and you had the Trump Byen election, 8 00:00:29,120 --> 00:00:31,920 Speaker 1: and now it's twenty twenty three. Not a great sample 9 00:00:31,960 --> 00:00:34,839 Speaker 1: size of democratic progress and growth. 10 00:00:35,960 --> 00:00:39,559 Speaker 2: Like that's the leg fat That's a really fair comment 11 00:00:40,680 --> 00:00:41,440 Speaker 2: when you look at. 12 00:00:41,320 --> 00:00:43,879 Speaker 1: It from that lens. I don't think it's necessarily meant 13 00:00:43,920 --> 00:00:47,680 Speaker 1: to excuse the skepticism and the critique, but I think 14 00:00:47,720 --> 00:00:52,080 Speaker 1: it's meant to demonstrate that if all you know is 15 00:00:52,120 --> 00:00:56,000 Speaker 1: a house on fire, then there's basically two options. One 16 00:00:56,040 --> 00:00:58,120 Speaker 1: you either try to will up and put out the fire, 17 00:00:58,160 --> 00:01:00,520 Speaker 1: which is what myself and my fellow young we doing, 18 00:01:01,280 --> 00:01:04,280 Speaker 1: or you escape the house, which is frankly a very 19 00:01:04,400 --> 00:01:05,840 Speaker 1: understandable notion. 20 00:01:12,520 --> 00:01:16,280 Speaker 2: Welcome to an army of normal folks. I'm Bill Courtney. 21 00:01:16,880 --> 00:01:21,120 Speaker 2: I'm a normal guy. I'm a husband, a father, an entrepreneur, 22 00:01:21,280 --> 00:01:24,440 Speaker 2: and I've been a football coach an inner City Memphis, 23 00:01:24,440 --> 00:01:27,520 Speaker 2: and the last part unintentionally led to an oscar for 24 00:01:27,560 --> 00:01:32,319 Speaker 2: the film about our team. It's called Undefeated. I believe 25 00:01:32,360 --> 00:01:35,520 Speaker 2: our country's problems will never be solved by a bunch 26 00:01:35,520 --> 00:01:39,240 Speaker 2: of fancy people in nice suits talking big words that 27 00:01:39,400 --> 00:01:44,080 Speaker 2: nobody understands on CNN and Fox, but rather an army 28 00:01:44,280 --> 00:01:47,800 Speaker 2: of normal folks US, just you and me deciding Hey, 29 00:01:48,400 --> 00:01:51,800 Speaker 2: I can help. That's what Mineu Meal, the voice we 30 00:01:52,000 --> 00:01:55,720 Speaker 2: just heard, has done. Mineu wasn't planning to dedicate his 31 00:01:55,880 --> 00:02:00,000 Speaker 2: life to preserving our democracy, but a riot broke out 32 00:02:00,280 --> 00:02:04,720 Speaker 2: on his college campus and he accidentally became a unifying 33 00:02:04,920 --> 00:02:09,120 Speaker 2: force for all sides. Today, he's trying to unify the 34 00:02:09,160 --> 00:02:14,799 Speaker 2: country as the CEO of Bridge USA, whose chapters at 35 00:02:14,919 --> 00:02:19,760 Speaker 2: fifty colleges and twenty four high schools create spaces for 36 00:02:19,919 --> 00:02:26,600 Speaker 2: students of all stripes to openly and constructively discuss political issues, 37 00:02:27,280 --> 00:02:31,480 Speaker 2: equipping the next generation with the skills to navigate conflict 38 00:02:31,520 --> 00:02:36,960 Speaker 2: and find solutions across differences. Manu brings me hope that 39 00:02:37,080 --> 00:02:40,799 Speaker 2: his generation can do this better than my generation has done. 40 00:02:40,840 --> 00:02:43,520 Speaker 2: And I cannot wait for you to meet him right 41 00:02:43,560 --> 00:03:11,119 Speaker 2: after these brief messages from our generals sponsors. Manu meal, no, 42 00:03:11,520 --> 00:03:14,520 Speaker 2: Manu meal, Manu Manu, yes, sir? Is that right? 43 00:03:14,600 --> 00:03:16,960 Speaker 1: Yes, sir, that's right. The second one my new meal. 44 00:03:17,160 --> 00:03:19,919 Speaker 2: Welcome to Memphis. I hope you enjoyed your sandwich when 45 00:03:19,919 --> 00:03:21,520 Speaker 2: I was starving and you ate it in front of me. 46 00:03:21,800 --> 00:03:23,280 Speaker 1: You know, I had to, I had to buy the 47 00:03:23,320 --> 00:03:26,040 Speaker 1: sandwich specifically to show you off. But Dora is vegetarian 48 00:03:26,120 --> 00:03:28,040 Speaker 1: and only at Alvocado in it, so I don't think 49 00:03:28,080 --> 00:03:28,919 Speaker 1: it would have filled you up. 50 00:03:29,400 --> 00:03:31,520 Speaker 2: Well, not only would you not filled me up. I 51 00:03:31,560 --> 00:03:33,720 Speaker 2: hate avocados, so I would have spit it out. 52 00:03:33,840 --> 00:03:37,480 Speaker 1: Good. Good. That's that's very anti California of you. 53 00:03:38,320 --> 00:03:42,119 Speaker 2: I have nothing to do with California, so this is perfect, 54 00:03:43,200 --> 00:03:45,640 Speaker 2: and it's it's very West Coast of you, sir. 55 00:03:45,800 --> 00:03:49,280 Speaker 1: Yeah, yeah, I definitely. I feel like I flew in 56 00:03:49,360 --> 00:03:52,320 Speaker 1: today and you and I were just talking about like 57 00:03:52,400 --> 00:03:54,720 Speaker 1: carbon sequestration and trees, and you gave me a full 58 00:03:54,800 --> 00:03:56,320 Speaker 1: lesson on it, and like I feel like if you 59 00:03:56,400 --> 00:03:59,160 Speaker 1: mapped my carbon footprint, I would look like a freaking 60 00:03:59,240 --> 00:04:02,000 Speaker 1: weird tech guy, you know, but I may For the record, 61 00:04:02,040 --> 00:04:04,240 Speaker 1: I maybe like half the money maybe a. 62 00:04:04,120 --> 00:04:09,000 Speaker 2: Third, maybe a third. Well, nonetheless, welcome to Memphis, Thanks 63 00:04:09,000 --> 00:04:12,320 Speaker 2: for coming to be with us and hang out at 64 00:04:12,360 --> 00:04:14,440 Speaker 2: the FedEx Forum. Yeah, are you going to be a 65 00:04:14,440 --> 00:04:15,320 Speaker 2: Grizzly fan now? 66 00:04:15,800 --> 00:04:16,320 Speaker 1: Definitely? Not? 67 00:04:16,640 --> 00:04:17,120 Speaker 2: Definitely not. 68 00:04:17,560 --> 00:04:19,880 Speaker 1: What are you The elevator is broken in the way up? 69 00:04:20,120 --> 00:04:21,360 Speaker 2: Well it was, but. 70 00:04:21,640 --> 00:04:22,440 Speaker 1: That's a bad sign. 71 00:04:22,600 --> 00:04:24,640 Speaker 2: I have a secret. It wasn't broken. You weren't a 72 00:04:24,640 --> 00:04:25,160 Speaker 2: fan something? 73 00:04:26,040 --> 00:04:28,239 Speaker 1: They were like, I'm not in with John Moran. 74 00:04:29,600 --> 00:04:31,400 Speaker 2: Well, what kind of fan are you? So? 75 00:04:31,480 --> 00:04:33,320 Speaker 1: I'm a Boston Celtics fan. I used to be a 76 00:04:33,400 --> 00:04:33,880 Speaker 1: Leaguers fan. 77 00:04:34,120 --> 00:04:36,120 Speaker 2: Well, then you should be a little bit of a 78 00:04:36,160 --> 00:04:39,280 Speaker 2: Grizzlies fan because Marcus Smart is now a Grizzly and that. 79 00:04:39,200 --> 00:04:40,960 Speaker 1: Makes that makes that makes me less. 80 00:04:42,200 --> 00:04:44,599 Speaker 2: He didn't leave on his own, accord, y'all traded him. 81 00:04:44,520 --> 00:04:46,799 Speaker 1: Which is a bad call. It is a bad call. 82 00:04:46,880 --> 00:04:48,640 Speaker 1: He had the heart, He had the heart and the soul, 83 00:04:48,760 --> 00:04:51,719 Speaker 1: no kidding, he had guts. He felt like a normal 84 00:04:51,760 --> 00:04:52,560 Speaker 1: person on the team. 85 00:04:52,600 --> 00:04:56,600 Speaker 2: It will be lovely having him to beat the Celtics 86 00:04:56,680 --> 00:04:57,480 Speaker 2: next time we play them. 87 00:04:57,520 --> 00:05:00,160 Speaker 1: Yeah, is that true? At least at least, hey, at 88 00:05:00,200 --> 00:05:01,840 Speaker 1: least we've got a championship or two. 89 00:05:04,480 --> 00:05:07,320 Speaker 2: Yeah, you do have those. No, but we're coming. 90 00:05:07,680 --> 00:05:11,040 Speaker 1: I really do appreciate being here, I think Memphis. I mean, 91 00:05:11,040 --> 00:05:12,640 Speaker 1: you give me a history lesson too, on the on 92 00:05:12,680 --> 00:05:15,320 Speaker 1: the zoom call that we had. But I'm somebody that 93 00:05:15,480 --> 00:05:19,200 Speaker 1: loves history, loves places that have a lot of transformation, 94 00:05:19,320 --> 00:05:22,320 Speaker 1: and I don't take the time for granted. 95 00:05:22,160 --> 00:05:24,000 Speaker 2: There's a ton here. I wish you could stay a 96 00:05:24,040 --> 00:05:27,120 Speaker 2: little longer. I love to show you around. Let's talk 97 00:05:27,160 --> 00:05:29,560 Speaker 2: about you, though, because that's what we're here for. First, 98 00:05:30,480 --> 00:05:35,600 Speaker 2: what'd you grow up? Tell me? Tell me about little Manu? 99 00:05:36,240 --> 00:05:42,520 Speaker 1: I'm still little young also, yeah, I'll tell you right. 100 00:05:42,600 --> 00:05:46,320 Speaker 2: How about five to fifteen year old Manu? 101 00:05:46,440 --> 00:05:49,120 Speaker 1: Okay? Cool? Five to fifty. Actually the interesting stuff is 102 00:05:49,160 --> 00:05:49,640 Speaker 1: one to five. 103 00:05:50,480 --> 00:05:53,400 Speaker 2: Five. Yeah, I think it's all interesting, but one to five. 104 00:05:53,600 --> 00:05:57,560 Speaker 1: So my parents moved from India. They were in a 105 00:05:57,600 --> 00:06:01,160 Speaker 1: New Delhi, northern India. They moved to the United States 106 00:06:01,720 --> 00:06:05,600 Speaker 1: in ninety seven. I was born in December of ninety 107 00:06:05,640 --> 00:06:12,080 Speaker 1: eight in Central Archie. Yeah, yeah, December night. My colleague, 108 00:06:12,160 --> 00:06:16,919 Speaker 1: my colleague, I'm very My colleague is a two thousand baby, 109 00:06:16,960 --> 00:06:20,559 Speaker 1: a millennium baby, and so I can only imagine how 110 00:06:21,240 --> 00:06:23,200 Speaker 1: young I must field ninety eight because when she says 111 00:06:23,200 --> 00:06:24,520 Speaker 1: two thousand, I'm like, man, that's young. 112 00:06:24,680 --> 00:06:25,440 Speaker 2: She's only two years. 113 00:06:27,040 --> 00:06:29,080 Speaker 1: But yeah, no, I'm I'm totally young, which is why 114 00:06:29,080 --> 00:06:30,560 Speaker 1: when you were like telling me about Little Minu, I 115 00:06:30,600 --> 00:06:33,120 Speaker 1: was like, that's presumptuous of me to be like, but 116 00:06:33,200 --> 00:06:35,960 Speaker 1: I was. I was born in New Brunswick, New Jersey. 117 00:06:36,960 --> 00:06:40,760 Speaker 1: Then my mom and my dad. My mom especially had 118 00:06:40,760 --> 00:06:42,920 Speaker 1: a really hard time settling in She, you know, her 119 00:06:43,040 --> 00:06:45,560 Speaker 1: entire family was there. She's very extroverted, she really cared 120 00:06:45,560 --> 00:06:47,280 Speaker 1: about family, and she had a hard time stay in 121 00:06:47,279 --> 00:06:49,240 Speaker 1: the United States, and so she actually went back with 122 00:06:49,279 --> 00:06:52,040 Speaker 1: my dad and the thought about, you know, potentially staying 123 00:06:52,080 --> 00:06:54,440 Speaker 1: in India. And I distinctly remember my mom telling me 124 00:06:54,480 --> 00:06:57,560 Speaker 1: the story. It's something I'll always be grateful to her, 125 00:06:57,640 --> 00:07:00,880 Speaker 1: fore Coach Bill, which is that she walked me past 126 00:07:01,200 --> 00:07:03,880 Speaker 1: this like school where I would probably go to school, 127 00:07:03,880 --> 00:07:06,520 Speaker 1: and it was there was like couch on the side, 128 00:07:06,560 --> 00:07:08,640 Speaker 1: and it was in India, in India, in New Delhi. 129 00:07:08,760 --> 00:07:12,760 Speaker 1: It was dirty, the doors were rusted, and she was like, 130 00:07:13,480 --> 00:07:15,160 Speaker 1: there's no way this guy's going to grow up here. 131 00:07:15,920 --> 00:07:18,320 Speaker 1: And so she basically bucked up and she and my 132 00:07:18,400 --> 00:07:20,360 Speaker 1: dad flew back to the United states where my mom 133 00:07:21,000 --> 00:07:23,000 Speaker 1: did all of her stuff to be a doctor. But 134 00:07:23,040 --> 00:07:24,680 Speaker 1: the reason why that went to five years important is 135 00:07:24,720 --> 00:07:28,160 Speaker 1: because I actually then lived with my grandparents in India 136 00:07:28,200 --> 00:07:30,080 Speaker 1: for those five years on and off, and so I 137 00:07:30,160 --> 00:07:32,320 Speaker 1: lived with my dad's side in New Delhi. I lived 138 00:07:32,320 --> 00:07:35,600 Speaker 1: with my mom's side in a village close to a 139 00:07:35,640 --> 00:07:38,320 Speaker 1: state called Haryana. And then I came back to the 140 00:07:38,440 --> 00:07:42,240 Speaker 1: US after those five years and basically moved around every 141 00:07:42,280 --> 00:07:44,360 Speaker 1: two years until what. 142 00:07:44,840 --> 00:07:47,040 Speaker 2: Did your mother and father get their doctorate? 143 00:07:47,600 --> 00:07:49,360 Speaker 1: So my mom became a doctor and my dad was 144 00:07:49,400 --> 00:07:55,800 Speaker 1: a computer scientist. It's a classic Indian. 145 00:07:54,480 --> 00:07:59,720 Speaker 2: I don't computer side to the doctor is the classic 146 00:07:59,760 --> 00:08:01,080 Speaker 2: in family. 147 00:08:01,360 --> 00:08:03,520 Speaker 1: It's a classic in duane family. And then look at me, 148 00:08:03,600 --> 00:08:04,600 Speaker 1: look at what happened. 149 00:08:04,280 --> 00:08:06,000 Speaker 2: To Well, we don't know that yet, so let's not 150 00:08:06,080 --> 00:08:12,520 Speaker 2: go there. But so why were you going back and 151 00:08:12,560 --> 00:08:15,080 Speaker 2: forth then? If because? And why were you moving every 152 00:08:15,120 --> 00:08:18,240 Speaker 2: two years? Because clearly they were earning well, I mean 153 00:08:18,280 --> 00:08:20,360 Speaker 2: they had their degrees in all right. 154 00:08:20,480 --> 00:08:23,080 Speaker 1: So I mean I I certainly did not. We were 155 00:08:23,080 --> 00:08:26,840 Speaker 1: not poor, but my dad's job was unstable for some time, 156 00:08:26,920 --> 00:08:29,160 Speaker 1: so we would move because of that. Then my mom's 157 00:08:29,240 --> 00:08:32,960 Speaker 1: job would change. I lived in New Jersey, lived in 158 00:08:33,040 --> 00:08:36,439 Speaker 1: Staten Island, New York, came back to Jersey, moved around 159 00:08:36,520 --> 00:08:39,959 Speaker 1: there twice, never spent again more than those two years, 160 00:08:39,960 --> 00:08:43,520 Speaker 1: and then basically went to high school in Lexington, Massachusetts. 161 00:08:43,559 --> 00:08:46,200 Speaker 1: And so you talk about money, what's interesting is every 162 00:08:46,320 --> 00:08:49,040 Speaker 1: move that we made, we actually my parents started earning 163 00:08:49,040 --> 00:08:50,960 Speaker 1: a little bit more money, a little bit more money. 164 00:08:50,880 --> 00:08:53,040 Speaker 2: And they're chasing the American dream a little bit. 165 00:08:53,040 --> 00:08:55,280 Speaker 1: They're chasing the American dream. They're chasing the American dream, 166 00:08:55,760 --> 00:08:57,960 Speaker 1: and not just the American dream, but they're chasing I 167 00:08:57,960 --> 00:09:00,800 Speaker 1: think just a I think they were just chasing a 168 00:09:00,840 --> 00:09:02,920 Speaker 1: foundation for where their kids could just make the most 169 00:09:02,920 --> 00:09:03,760 Speaker 1: of their sacrifice. 170 00:09:03,840 --> 00:09:04,280 Speaker 2: I get it. 171 00:09:04,280 --> 00:09:04,880 Speaker 1: I think that was it. 172 00:09:04,960 --> 00:09:07,920 Speaker 2: That's a beautiful thing, that is the American dream, especially 173 00:09:07,960 --> 00:09:13,360 Speaker 2: for immigrants what your parents are. Yeah, but you're an American, 174 00:09:13,440 --> 00:09:14,160 Speaker 2: you were born here. 175 00:09:14,200 --> 00:09:16,240 Speaker 1: I was born here. But what's fascinating is when I 176 00:09:16,240 --> 00:09:20,200 Speaker 1: came back at the age of five, I like, was 177 00:09:20,240 --> 00:09:24,520 Speaker 1: this like, first of all countries like India. And this 178 00:09:24,559 --> 00:09:27,120 Speaker 1: is me saying it is somebody that's from India smelled different. 179 00:09:27,679 --> 00:09:30,439 Speaker 1: I landed here and I just smelled like India. It's 180 00:09:30,480 --> 00:09:32,920 Speaker 1: a very distinct smell. It's like when you come live 181 00:09:32,920 --> 00:09:34,680 Speaker 1: in New York City or you live in Texas, you 182 00:09:34,720 --> 00:09:36,760 Speaker 1: live you live in a village, you know, or you 183 00:09:36,760 --> 00:09:38,160 Speaker 1: live in a farm you work on a farm as 184 00:09:38,160 --> 00:09:41,400 Speaker 1: opposed to and I had like when when you're oftentimes 185 00:09:41,400 --> 00:09:42,800 Speaker 1: in an area where there's a lot of dust, your 186 00:09:42,800 --> 00:09:45,880 Speaker 1: hair gets all matted and it sticks together, and so 187 00:09:46,000 --> 00:09:49,720 Speaker 1: I like, did not I think my first language was 188 00:09:49,800 --> 00:09:54,280 Speaker 1: Hindi even though I was born here, And yeah, man, 189 00:09:54,360 --> 00:09:56,360 Speaker 1: it was. It was fascinating to try and fit in. 190 00:09:57,240 --> 00:09:58,320 Speaker 1: It was it was hard. 191 00:09:58,559 --> 00:10:01,880 Speaker 2: Let's be real. Yeah, five years old trying to fit 192 00:10:01,920 --> 00:10:04,400 Speaker 2: in is not fascinating. That is not the word a 193 00:10:04,440 --> 00:10:06,559 Speaker 2: five year old would use about trying to fit in. 194 00:10:07,000 --> 00:10:09,960 Speaker 2: And I'm interested in this because I think it's your 195 00:10:10,040 --> 00:10:13,439 Speaker 2: main to what you're doing now. Actually, as I've thought 196 00:10:13,800 --> 00:10:16,320 Speaker 2: a lot about your story, believe it or not, I 197 00:10:16,360 --> 00:10:19,680 Speaker 2: have thought about a lot about a lot about it. Well, 198 00:10:19,720 --> 00:10:26,240 Speaker 2: I mean, you're in this interesting place, that one you've 199 00:10:26,280 --> 00:10:30,760 Speaker 2: grown up basically in India. You're an American, born in America, 200 00:10:30,800 --> 00:10:34,280 Speaker 2: grown up in India. You even said your first language 201 00:10:34,320 --> 00:10:37,680 Speaker 2: is probably actually Hindi. And you move every two years, 202 00:10:37,960 --> 00:10:40,280 Speaker 2: and the moving every two years and your parents trying 203 00:10:40,320 --> 00:10:43,960 Speaker 2: to get you the best opportunity in the world and 204 00:10:44,000 --> 00:10:46,200 Speaker 2: they're chasing the American dream. And I get it, and 205 00:10:46,240 --> 00:10:51,840 Speaker 2: that's beautiful. But I got to believe you had a 206 00:10:51,880 --> 00:10:56,199 Speaker 2: hard time fitting coming up, and that even if you 207 00:10:56,360 --> 00:10:59,280 Speaker 2: started develops some relationships and two years are gone again, 208 00:11:00,200 --> 00:11:00,960 Speaker 2: what was that like? 209 00:11:01,920 --> 00:11:04,680 Speaker 1: I mean, that's where the I hope as a five 210 00:11:04,720 --> 00:11:06,760 Speaker 1: year old, I was using the word fascinating, because then 211 00:11:06,760 --> 00:11:08,800 Speaker 1: I would be actually an odd kid. Then there's no 212 00:11:08,880 --> 00:11:09,560 Speaker 1: chance of me fitting. 213 00:11:11,400 --> 00:11:13,280 Speaker 2: A seven year old would say it would suck, not 214 00:11:13,320 --> 00:11:13,559 Speaker 2: that it was. 215 00:11:13,640 --> 00:11:15,280 Speaker 1: I'll tell me what the difference, though. 216 00:11:15,280 --> 00:11:16,839 Speaker 2: In hindsight may be fascinating. 217 00:11:16,920 --> 00:11:19,440 Speaker 1: Yes, it definitely sucked. I just my temperament is one 218 00:11:19,480 --> 00:11:21,840 Speaker 1: where I just have a hard time. I just don't 219 00:11:21,840 --> 00:11:23,920 Speaker 1: really try to associate negative emotions a lot of that 220 00:11:23,920 --> 00:11:25,920 Speaker 1: type of stuff, because it really did make me who 221 00:11:25,920 --> 00:11:29,080 Speaker 1: I am today. But that's only looking in hindsight. I'll 222 00:11:29,120 --> 00:11:31,920 Speaker 1: tell you, you know, trying to fit in, trying to 223 00:11:31,960 --> 00:11:35,400 Speaker 1: make friends, I mean, it did suck. I think I 224 00:11:35,480 --> 00:11:38,320 Speaker 1: used to. I had almost a bully in every sort 225 00:11:38,320 --> 00:11:40,360 Speaker 1: of stage. And this is something that I credit my 226 00:11:40,400 --> 00:11:42,480 Speaker 1: parents a lot with. You know, my mom had that 227 00:11:42,520 --> 00:11:45,880 Speaker 1: philosophy of if someone punches, you punch them back twice 228 00:11:46,160 --> 00:11:49,040 Speaker 1: and make sure they'd never get up. And I had 229 00:11:49,080 --> 00:11:51,160 Speaker 1: a real I mean, do I look like somebody that 230 00:11:51,160 --> 00:11:53,680 Speaker 1: can touch back twice? Lets less be real? Do I 231 00:11:53,720 --> 00:11:55,720 Speaker 1: look like a kid that can punch? I can punch 232 00:11:55,720 --> 00:11:57,880 Speaker 1: back my words? But that's only now I was. I 233 00:11:57,920 --> 00:12:00,760 Speaker 1: was like chubby, I was pudgy. I I did not 234 00:12:00,840 --> 00:12:03,880 Speaker 1: have that capacity, and so really it did suck. And 235 00:12:04,400 --> 00:12:07,880 Speaker 1: what sucked most about it, actually, Coach Bill, was that 236 00:12:10,000 --> 00:12:14,360 Speaker 1: I feel like you oftentimes have this feeling of America, 237 00:12:14,440 --> 00:12:17,040 Speaker 1: like in India, especially whenever I would go back after 238 00:12:17,120 --> 00:12:19,840 Speaker 1: coming here. I distinctly remember I was like seven, ten 239 00:12:20,000 --> 00:12:22,960 Speaker 1: thirteen people back home and say like, man, like you're 240 00:12:22,960 --> 00:12:25,560 Speaker 1: in America, Like that's that's the dream, that's the place. 241 00:12:25,600 --> 00:12:27,840 Speaker 2: Now was I think you were like fortunate lucky? 242 00:12:28,440 --> 00:12:31,560 Speaker 1: Yeah? Yeah, I mean you're you're basically you know, like 243 00:12:32,240 --> 00:12:36,320 Speaker 1: you're the you know. And that did not mirror the 244 00:12:36,320 --> 00:12:38,840 Speaker 1: reality of our life, which was that I lived in 245 00:12:39,000 --> 00:12:42,600 Speaker 1: apartments my entire life until we got to like eighth grade. 246 00:12:42,800 --> 00:12:47,080 Speaker 1: I grew up with my siblings in one apartment. Again, 247 00:12:47,160 --> 00:12:49,360 Speaker 1: fitting in was one where like kids would pick on 248 00:12:49,400 --> 00:12:51,520 Speaker 1: you if you take the this is so funny when 249 00:12:51,559 --> 00:12:53,160 Speaker 1: you asked me how to pronounce my name. Part of 250 00:12:53,160 --> 00:12:56,280 Speaker 1: the reason why I stopped really caring was because it 251 00:12:56,320 --> 00:12:59,000 Speaker 1: became such a subject of like intrigue and making jokes 252 00:12:59,040 --> 00:13:01,319 Speaker 1: that I was like, you know what, we got to 253 00:13:01,320 --> 00:13:03,920 Speaker 1: figure out other ways to keep going. What's interesting now 254 00:13:03,920 --> 00:13:07,800 Speaker 1: that I think about this is that it made me 255 00:13:07,880 --> 00:13:11,880 Speaker 1: somebody that understood how to just create space for people 256 00:13:11,920 --> 00:13:14,800 Speaker 1: to be idiots for a little bit so that you 257 00:13:14,840 --> 00:13:17,240 Speaker 1: can better accept them, they can better accept you, and 258 00:13:17,240 --> 00:13:19,000 Speaker 1: you can actually get somewhere. And the last thing I'll 259 00:13:19,040 --> 00:13:21,720 Speaker 1: just say on this point is you learn how to adapt. 260 00:13:21,880 --> 00:13:24,640 Speaker 1: And I think one of the things that I fear 261 00:13:24,679 --> 00:13:26,319 Speaker 1: a lot about the work I do now, and I 262 00:13:26,360 --> 00:13:29,560 Speaker 1: don't want to skip ahead, but like when people see 263 00:13:29,559 --> 00:13:32,199 Speaker 1: this like young person that can be super charismatic and 264 00:13:32,240 --> 00:13:34,760 Speaker 1: they talk and all of that, I know what that creates. 265 00:13:34,800 --> 00:13:36,760 Speaker 1: I know the vibe that gives off. It's like, oh, 266 00:13:36,800 --> 00:13:38,800 Speaker 1: this must be a trust fund baby, or this must 267 00:13:38,840 --> 00:13:43,560 Speaker 1: be whatever whatever. And frankly, my life really helped give 268 00:13:43,600 --> 00:13:45,439 Speaker 1: me the impetus to do the work that I do 269 00:13:45,760 --> 00:13:47,760 Speaker 1: because I think there's a lot of kids out there. 270 00:13:47,840 --> 00:13:49,280 Speaker 1: I mean, you worked with a lot of them in 271 00:13:49,320 --> 00:13:51,439 Speaker 1: your past that are just trying to fit in and 272 00:13:51,480 --> 00:13:52,400 Speaker 1: they're looking for space. 273 00:13:52,480 --> 00:13:54,360 Speaker 3: So yeah, So. 274 00:13:56,000 --> 00:14:00,840 Speaker 2: What you just said is the discovery that I was 275 00:14:00,880 --> 00:14:08,120 Speaker 2: trying to reveal, is that the podcast that came out. 276 00:14:08,280 --> 00:14:11,960 Speaker 2: I'm going to timestamp this, Alex, so no griping. He 277 00:14:12,040 --> 00:14:14,400 Speaker 2: hates when I time stamp stuff, so he's going to 278 00:14:14,440 --> 00:14:17,960 Speaker 2: have to just get that's producer stuff. Alex can just 279 00:14:18,040 --> 00:14:22,080 Speaker 2: relax on this one. So today's podcasts So we Are 280 00:14:22,160 --> 00:14:25,920 Speaker 2: podcast released every Tuesday. And the reason I really even 281 00:14:25,960 --> 00:14:31,200 Speaker 2: started thinking about you again was this podcast. And it's 282 00:14:31,240 --> 00:14:35,520 Speaker 2: about Stacy Horst and very shortly and if you guys 283 00:14:35,640 --> 00:14:37,960 Speaker 2: listening now haven't listened to it, go listen to it. 284 00:14:37,960 --> 00:14:44,840 Speaker 2: It's gripping. Her kid was autistic Asperger's level one and 285 00:14:45,720 --> 00:14:51,320 Speaker 2: this child, at sixteen, because of being bullied and ostracized 286 00:14:52,040 --> 00:14:55,560 Speaker 2: because she didn't fit because of her social limitations, she 287 00:14:55,600 --> 00:15:03,040 Speaker 2: took her own life and at sixteen absolutely floors me 288 00:15:03,360 --> 00:15:06,480 Speaker 2: when I think about what that family has done to 289 00:15:06,600 --> 00:15:10,560 Speaker 2: honor the legacy of their daughter. But as I was 290 00:15:10,600 --> 00:15:14,960 Speaker 2: thinking about you, obviously I'm not saying you were suicidal 291 00:15:15,040 --> 00:15:19,400 Speaker 2: or anything, but what I am saying is for the 292 00:15:19,440 --> 00:15:23,320 Speaker 2: son of an immigrant from India who goes back and 293 00:15:23,360 --> 00:15:26,880 Speaker 2: forth and is living and growing up with basically two 294 00:15:26,920 --> 00:15:31,160 Speaker 2: different cultures and moving every two years. I've got to 295 00:15:31,200 --> 00:15:37,400 Speaker 2: believe that you saw some of the worst in what 296 00:15:37,560 --> 00:15:41,440 Speaker 2: human beings can do and say and act towards one another. 297 00:15:42,360 --> 00:15:46,320 Speaker 2: And I just want to know if that's true, and 298 00:15:47,280 --> 00:15:52,400 Speaker 2: did that in some way compel you to have empathy 299 00:15:52,760 --> 00:15:55,680 Speaker 2: or compel you to have what is that like? 300 00:15:56,240 --> 00:15:59,640 Speaker 1: I think it forced me to find perspective because I think, 301 00:16:00,560 --> 00:16:03,760 Speaker 1: and again this is sort of my mindset and temperament 302 00:16:03,920 --> 00:16:09,000 Speaker 1: is I think oftentimes when you're experiencing hardship, and here's 303 00:16:09,040 --> 00:16:12,000 Speaker 1: the fact, you know your heart, you might be experiencing hardship, 304 00:16:12,120 --> 00:16:14,120 Speaker 1: I might be experiencing hardship. One of ours might be 305 00:16:14,160 --> 00:16:17,320 Speaker 1: relatively more. And yet that doesn't take away from the 306 00:16:17,320 --> 00:16:19,080 Speaker 1: fact that you and I both suffered hardship, right, So 307 00:16:19,160 --> 00:16:22,240 Speaker 1: any hardship that anybody's ever suffering is real, and that's 308 00:16:22,280 --> 00:16:25,000 Speaker 1: your hardship, and that's real trauma. That's real challenge. For me. 309 00:16:26,040 --> 00:16:28,040 Speaker 1: I often feel like the best way for me to 310 00:16:28,080 --> 00:16:31,080 Speaker 1: cope with that is to put my suffering and my 311 00:16:31,200 --> 00:16:32,960 Speaker 1: challenges in context. 312 00:16:33,080 --> 00:16:35,480 Speaker 2: There's put it in context. Put it in context, and 313 00:16:35,520 --> 00:16:37,920 Speaker 2: you're telling me at thirteen you're learning this. 314 00:16:38,920 --> 00:16:41,960 Speaker 1: No, No, this is something I learned after. I'm talking 315 00:16:42,000 --> 00:16:46,880 Speaker 1: in hindsight. No, at thirteen, I was mad, mad, and 316 00:16:48,000 --> 00:16:49,920 Speaker 1: but again my temper was not so much mad. It 317 00:16:50,000 --> 00:16:56,280 Speaker 1: was just more subdued, quiet, with drawn, with drawn, insecure. 318 00:16:57,080 --> 00:16:59,720 Speaker 1: I oftentimes ask, you know, people that knew me then, 319 00:17:00,600 --> 00:17:02,880 Speaker 1: like I was never somebody that you pick out in 320 00:17:02,920 --> 00:17:05,239 Speaker 1: a class and you're like, this kid's gonna do all right, 321 00:17:05,520 --> 00:17:11,680 Speaker 1: or do something. They're average, middle, middle of the pack. 322 00:17:11,840 --> 00:17:12,800 Speaker 2: That's very un Indian. 323 00:17:13,160 --> 00:17:15,880 Speaker 1: Yeah, I'm very Unindied in many ways, you know. I 324 00:17:16,040 --> 00:17:18,520 Speaker 1: The only the most Indian thing about me is that 325 00:17:18,600 --> 00:17:21,440 Speaker 1: I actually stay very close to my culture. So I 326 00:17:21,520 --> 00:17:24,359 Speaker 1: love you know, my grandparents. They basically raised me for 327 00:17:24,359 --> 00:17:27,679 Speaker 1: those first five six years. And my grandfather he passed, 328 00:17:27,800 --> 00:17:30,960 Speaker 1: the one that really like was somebody that gave me 329 00:17:31,000 --> 00:17:33,960 Speaker 1: a lot of values over time, and he really felt 330 00:17:34,000 --> 00:17:36,280 Speaker 1: like another father figure. He passed away last year and 331 00:17:36,720 --> 00:17:38,320 Speaker 1: I haven't been able to go back to India since. 332 00:17:38,600 --> 00:17:40,760 Speaker 1: But I'm going to go in two to three weeks 333 00:17:41,040 --> 00:17:45,000 Speaker 1: and finally go back to that home. Witnessed the and 334 00:17:45,040 --> 00:17:47,280 Speaker 1: one of the things he would always say is he 335 00:17:47,280 --> 00:17:48,800 Speaker 1: would say two things to me, and this is why 336 00:17:48,840 --> 00:17:51,120 Speaker 1: I'm actually starting to think about this. He'd say two things. 337 00:17:51,119 --> 00:17:55,320 Speaker 1: One is he said, you need to you need to 338 00:17:55,320 --> 00:17:57,920 Speaker 1: think about God. And the second thing he would say 339 00:17:58,040 --> 00:18:04,240 Speaker 1: to me is that you were great. And I say 340 00:18:04,280 --> 00:18:07,639 Speaker 1: that with the context of all of the crappiness that 341 00:18:07,680 --> 00:18:10,480 Speaker 1: we went through as a child, there are very few 342 00:18:10,480 --> 00:18:14,399 Speaker 1: people that I felt like gave me the real motivation 343 00:18:14,720 --> 00:18:17,600 Speaker 1: or sense of self at that point. I needed somebody 344 00:18:17,640 --> 00:18:20,920 Speaker 1: to say that. And I used to make recordings of 345 00:18:21,000 --> 00:18:24,560 Speaker 1: him saying that, because now that I reflect, it really 346 00:18:24,600 --> 00:18:27,919 Speaker 1: gives me that sense of purpose to keep doing. So 347 00:18:28,240 --> 00:18:30,840 Speaker 1: all of that to say that I'm very un Indian 348 00:18:30,920 --> 00:18:33,960 Speaker 1: in some ways. In the Indian immigrant community, there's a 349 00:18:34,000 --> 00:18:41,440 Speaker 1: term called ABCD American born confused. They see and by 350 00:18:41,440 --> 00:18:44,159 Speaker 1: the way, shout out to my friends who gave me that. 351 00:18:44,240 --> 00:18:46,520 Speaker 1: And then right after that, I whip out the Hydian man. 352 00:18:47,200 --> 00:18:49,720 Speaker 1: They can't handle it. They can't handle it, like this 353 00:18:49,760 --> 00:18:51,040 Speaker 1: guy's not that your grandfather. 354 00:18:51,119 --> 00:18:52,960 Speaker 2: You say. Instilled values. 355 00:18:54,320 --> 00:19:00,000 Speaker 1: Instilled values what valus? The first value that he instilled 356 00:19:00,080 --> 00:19:03,240 Speaker 1: than me was be fearless, fearless, fearless, love he was. 357 00:19:04,119 --> 00:19:05,880 Speaker 1: And again it's something that I actually if you ask 358 00:19:06,000 --> 00:19:08,720 Speaker 1: me what is my weakness, my strength is the ability 359 00:19:08,760 --> 00:19:10,800 Speaker 1: to empathize with people and try and care because I 360 00:19:11,160 --> 00:19:13,840 Speaker 1: love people. To me, when you said, like you've seen 361 00:19:13,840 --> 00:19:15,960 Speaker 1: the worst human need know you know? To me, I see, 362 00:19:15,960 --> 00:19:18,680 Speaker 1: it's just ignorance. You know, everybody's got their issues. I've 363 00:19:18,680 --> 00:19:20,720 Speaker 1: been I'm sure I've been an add to some people 364 00:19:20,720 --> 00:19:23,600 Speaker 1: in my life not even knowing it. But the weakness 365 00:19:23,640 --> 00:19:27,359 Speaker 1: for me that is I sometimes don't know when to push. 366 00:19:27,800 --> 00:19:31,159 Speaker 1: I sometimes don't know when to be honest with what 367 00:19:31,240 --> 00:19:34,320 Speaker 1: I think. And he was somebody that served in the military. 368 00:19:34,320 --> 00:19:36,520 Speaker 1: That was his way of climbing the social ladder in India. 369 00:19:36,520 --> 00:19:39,520 Speaker 1: Basically did two things in the sort of the societal 370 00:19:39,560 --> 00:19:42,000 Speaker 1: stratification that my family was in, which is either be 371 00:19:42,000 --> 00:19:45,159 Speaker 1: a farmer or you go in the military. So you 372 00:19:45,160 --> 00:19:49,840 Speaker 1: went into the military. He fought three wars. He I remember. 373 00:19:49,920 --> 00:19:51,480 Speaker 1: There is one story that he always used to tell me, 374 00:19:51,520 --> 00:19:53,439 Speaker 1: which is I used to be scared of ghosts like 375 00:19:53,560 --> 00:19:57,120 Speaker 1: most kids. And he's say, you say not that used 376 00:19:57,119 --> 00:20:00,280 Speaker 1: to be my nickname for me. He say, you know, 377 00:20:00,480 --> 00:20:03,560 Speaker 1: this morning I was in the shower and a ghost 378 00:20:03,640 --> 00:20:08,560 Speaker 1: walked through the door and he he the ghost massaged 379 00:20:08,600 --> 00:20:12,879 Speaker 1: my legs, he washed me. There's another ghost that came out. 380 00:20:12,920 --> 00:20:15,479 Speaker 1: He drove my car with me. He basically said, all 381 00:20:15,480 --> 00:20:18,639 Speaker 1: these ghosters butlers, And I was like, the ghost of 382 00:20:18,640 --> 00:20:21,439 Speaker 1: your butlers. He's like, yeah, don't you know that the 383 00:20:21,440 --> 00:20:23,720 Speaker 1: ghosts are going to mess with you until they realize 384 00:20:23,760 --> 00:20:25,520 Speaker 1: that you can't be messed with and then the ghost 385 00:20:25,560 --> 00:20:27,600 Speaker 1: here before you. And so the first thing he always 386 00:20:27,600 --> 00:20:30,119 Speaker 1: told me was be fearless, and it's something I deeply appreciated. 387 00:20:30,280 --> 00:20:32,679 Speaker 1: And the second thing was faith in God, something that 388 00:20:32,680 --> 00:20:36,760 Speaker 1: he believed a lot in. I'm not that religious right now, 389 00:20:36,800 --> 00:20:39,639 Speaker 1: but I'm back on the hunt. I'm back on the search. 390 00:20:40,160 --> 00:20:42,680 Speaker 1: And the final thing that he would always say is 391 00:20:43,800 --> 00:20:46,800 Speaker 1: work hard, not for anybody else, but just for yourself. 392 00:20:47,520 --> 00:20:53,120 Speaker 1: And it I mean he was He had eight siblings, 393 00:20:53,119 --> 00:20:57,760 Speaker 1: I think seven or eight siblings, and he basically was 394 00:20:57,840 --> 00:21:01,560 Speaker 1: the engine for our family on my mom side to 395 00:21:01,560 --> 00:21:02,520 Speaker 1: move up in society. 396 00:21:03,119 --> 00:21:04,600 Speaker 2: He sounds like a phenomenal guy. 397 00:21:04,880 --> 00:21:06,520 Speaker 1: Yeah, he's a good guy, and I. 398 00:21:06,520 --> 00:21:10,000 Speaker 2: Can see the regard. You can see your face changes 399 00:21:10,000 --> 00:21:10,919 Speaker 2: when you talk about him. 400 00:21:11,000 --> 00:21:14,280 Speaker 1: Yeah, yeah, I haven't actually ever talked about him. Publicly. 401 00:21:14,359 --> 00:21:16,480 Speaker 1: But like, what I appreciate about the space you're doing is, 402 00:21:16,800 --> 00:21:19,480 Speaker 1: you know, just create space for that honest conversation. And 403 00:21:19,520 --> 00:21:21,159 Speaker 1: I know that most people have somebody like that in 404 00:21:21,160 --> 00:21:26,720 Speaker 1: their life hopefully, and it's good. It's important to have 405 00:21:26,800 --> 00:21:27,280 Speaker 1: people like that. 406 00:21:27,880 --> 00:21:38,400 Speaker 3: So yeah, we'll be right back. 407 00:21:48,440 --> 00:21:50,760 Speaker 2: So where do you graduate? High school? 408 00:21:51,280 --> 00:21:52,000 Speaker 1: Twenty sixteenth? 409 00:21:52,000 --> 00:21:52,160 Speaker 2: Sir? 410 00:21:52,480 --> 00:21:55,600 Speaker 1: Where twenty sixteen in Lexington, Massachusetts? 411 00:21:55,720 --> 00:21:57,240 Speaker 2: Lexington, Massachusetts, which. 412 00:21:57,160 --> 00:22:00,359 Speaker 1: Which by the way, is basically it's a public school, 413 00:22:00,680 --> 00:22:04,879 Speaker 1: basically a private school, really comedy school. There's literally a 414 00:22:04,960 --> 00:22:08,720 Speaker 1: hill in Lexington called Nobel Prize Hill where the Nobel Prize. 415 00:22:08,800 --> 00:22:12,199 Speaker 1: There's seven Nobel Prize winners that live in Lexington. Good grief, 416 00:22:12,440 --> 00:22:13,920 Speaker 1: it's freaking insane. 417 00:22:14,040 --> 00:22:16,959 Speaker 2: Insane. Okay, So you say you're an average student, but 418 00:22:17,000 --> 00:22:19,720 Speaker 2: you went to cal Berkeley, so you're full of crop 419 00:22:19,800 --> 00:22:23,119 Speaker 2: because average students don't go to Berkeley. Yeah, so how 420 00:22:23,160 --> 00:22:23,800 Speaker 2: does that work? 421 00:22:25,560 --> 00:22:28,360 Speaker 1: Average is relative? I see? 422 00:22:29,680 --> 00:22:34,520 Speaker 2: Now this is very Indian, but I have an Indian 423 00:22:34,680 --> 00:22:40,679 Speaker 2: friend who would get a's and a's and a's and 424 00:22:40,720 --> 00:22:43,520 Speaker 2: they'd have one a minus and their parents would ground 425 00:22:43,560 --> 00:22:46,280 Speaker 2: them for an A. This is where the the the 426 00:22:47,119 --> 00:22:53,480 Speaker 2: the world and the expectations are stressful. 427 00:22:53,960 --> 00:22:56,640 Speaker 1: Yeah, this is something I benefit a lot from, which 428 00:22:56,680 --> 00:22:59,320 Speaker 1: is that I had very little expectations for my parents. 429 00:22:59,480 --> 00:23:01,480 Speaker 1: They did not imposed much on me. I didn't do 430 00:23:01,560 --> 00:23:03,720 Speaker 1: all no and actually, if you pull up my transcripts, 431 00:23:04,080 --> 00:23:07,600 Speaker 1: I had mostly bees throughout high school. Actually I was 432 00:23:07,640 --> 00:23:10,440 Speaker 1: never that type of kid. When I say average, it's 433 00:23:10,480 --> 00:23:13,639 Speaker 1: because and this is again a personal story, and this 434 00:23:13,720 --> 00:23:15,760 Speaker 1: oftentimes sounds out of touch, but it depends on where 435 00:23:15,760 --> 00:23:17,679 Speaker 1: you grow up and what you're doing, what community you're in. 436 00:23:18,000 --> 00:23:21,560 Speaker 1: Lexington was basically a feeder school for Harvard and MIT. 437 00:23:21,760 --> 00:23:22,840 Speaker 1: That's where everybody lives. 438 00:23:23,359 --> 00:23:26,520 Speaker 2: And it's that type of everybody, you mean, like most 439 00:23:26,560 --> 00:23:28,400 Speaker 2: of the kids, not. 440 00:23:28,400 --> 00:23:32,480 Speaker 1: Most, but sixteen kids in every class wow, which which 441 00:23:32,640 --> 00:23:37,439 Speaker 1: tells you the environment that it was. It's a pressure cooker. 442 00:23:37,800 --> 00:23:41,159 Speaker 1: But for me, again, it's about perspective and context. I 443 00:23:41,720 --> 00:23:44,960 Speaker 1: love competition. I love to compete. I love to be pushed, 444 00:23:45,359 --> 00:23:47,159 Speaker 1: and so for me, it was it didn't feel like pressure. 445 00:23:47,160 --> 00:23:49,480 Speaker 1: It just felt like you're not as good as you 446 00:23:49,520 --> 00:23:52,760 Speaker 1: think you are, and so pick yourself up and start 447 00:23:52,800 --> 00:23:56,080 Speaker 1: working hard. And here's the thing though, is I was 448 00:23:56,200 --> 00:23:59,080 Speaker 1: I was so bad in the classroom, Like you say 449 00:23:59,240 --> 00:24:00,720 Speaker 1: so bad, how bad, can you be? You went to 450 00:24:01,280 --> 00:24:04,600 Speaker 1: cal First of all, I got waitlessed. I barely got in. 451 00:24:04,840 --> 00:24:07,320 Speaker 1: I barely got out too, by the way, and so 452 00:24:07,359 --> 00:24:09,440 Speaker 1: I barely got I barely got out. I barely made 453 00:24:09,480 --> 00:24:12,119 Speaker 1: it in. They tried to keep me there then, But 454 00:24:13,200 --> 00:24:15,280 Speaker 1: for me and my brain never worked in the class. 455 00:24:15,760 --> 00:24:18,320 Speaker 1: It was just I was never I have to work 456 00:24:18,800 --> 00:24:20,680 Speaker 1: three times as hard as you to get it. Get 457 00:24:20,720 --> 00:24:22,960 Speaker 1: like a B plus I get it. Yeah, you know, 458 00:24:23,000 --> 00:24:24,000 Speaker 1: all right, but I do. 459 00:24:24,119 --> 00:24:27,880 Speaker 2: It's effort and all that. So I got to interject 460 00:24:27,880 --> 00:24:30,280 Speaker 2: this quick story for you. It's hilous. Let me here. 461 00:24:30,600 --> 00:24:33,800 Speaker 2: So when I was coaching a Manassas, this dude came up. 462 00:24:34,560 --> 00:24:38,879 Speaker 2: Well nobody. My first games that Manassas had three people 463 00:24:38,920 --> 00:24:41,240 Speaker 2: at them. Yeah, I mean we were four winds years 464 00:24:41,359 --> 00:24:47,879 Speaker 2: wait years, oh man, dude. Two thousand and two is 465 00:24:47,920 --> 00:24:50,880 Speaker 2: about the first year, and literally three people in the stand. 466 00:24:50,920 --> 00:24:52,719 Speaker 2: It'd be two thousand on the other side. And we 467 00:24:52,760 --> 00:24:56,440 Speaker 2: had the bus driver, I bet, principal, and a lady 468 00:24:56,520 --> 00:24:59,480 Speaker 2: named this guy who was like eighty year old graduate 469 00:24:59,480 --> 00:25:01,560 Speaker 2: of Manassa who never missed a game. That was it. 470 00:25:02,280 --> 00:25:06,080 Speaker 2: As we started winning and kids started coming and getting better, yeah, 471 00:25:06,359 --> 00:25:09,240 Speaker 2: more fans more people and people from the neighborhood would 472 00:25:09,280 --> 00:25:12,359 Speaker 2: want to help out, and most of them were well intentioned, 473 00:25:12,400 --> 00:25:15,720 Speaker 2: and some of them were like dudes that wanted to 474 00:25:15,720 --> 00:25:18,119 Speaker 2: relive the glory days that I didn't have any time for. 475 00:25:18,280 --> 00:25:20,680 Speaker 2: One of the well, those dudes showed up and said, hey, 476 00:25:21,280 --> 00:25:23,720 Speaker 2: you know you didn't need help coaching. I'm good on 477 00:25:23,760 --> 00:25:26,960 Speaker 2: the d line. And I said, well, let's talk about that. 478 00:25:27,080 --> 00:25:29,840 Speaker 2: And I said, you know, what did you play ball? 479 00:25:29,960 --> 00:25:35,640 Speaker 2: He said, yeah, I played a Cow. Now, now this 480 00:25:35,720 --> 00:25:40,040 Speaker 2: is a guy who's from North Memphis who didn't have 481 00:25:40,080 --> 00:25:45,920 Speaker 2: a job, and said he went to cal Well Carol. 482 00:25:46,800 --> 00:25:49,720 Speaker 2: And I said really, And I said you played football 483 00:25:49,840 --> 00:25:53,680 Speaker 2: Cow and he said yeah. And I said, wow, that's interesting. 484 00:25:53,760 --> 00:25:56,520 Speaker 2: And I said, so you graduated from Cow. He's like, 485 00:25:56,600 --> 00:26:01,399 Speaker 2: oh no, no, no, I left early. Hold it, I left early. 486 00:26:01,920 --> 00:26:04,959 Speaker 2: I went overseas to chase that big money and played 487 00:26:04,960 --> 00:26:09,359 Speaker 2: in Canada football. Hold it. Listen to what I just said. 488 00:26:09,880 --> 00:26:12,880 Speaker 2: I went overseas to chase the big money and went 489 00:26:12,920 --> 00:26:13,560 Speaker 2: to Canada. 490 00:26:14,640 --> 00:26:15,480 Speaker 1: Hey, there's a great lake. 491 00:26:15,600 --> 00:26:19,800 Speaker 2: Last time. Look there wasn't an ocean between col and Canada. 492 00:26:20,160 --> 00:26:22,600 Speaker 2: At which point I said, thanks, man, we'll give you 493 00:26:22,640 --> 00:26:25,159 Speaker 2: a call if we could use you. But that was 494 00:26:25,320 --> 00:26:28,760 Speaker 2: pretty much my full exposure to Cal from Memphis. 495 00:26:28,840 --> 00:26:29,840 Speaker 1: Have you ever been to Berkeley? 496 00:26:30,000 --> 00:26:30,359 Speaker 2: What's up? 497 00:26:30,400 --> 00:26:31,240 Speaker 1: Have you ever been to Berkeley? 498 00:26:31,359 --> 00:26:31,560 Speaker 2: Yeah? 499 00:26:31,640 --> 00:26:34,760 Speaker 1: Once, It's a crazy place when you go, you're. 500 00:26:35,440 --> 00:26:38,080 Speaker 2: Five six years ago, just passing through. Lisa and I 501 00:26:38,160 --> 00:26:41,240 Speaker 2: drove up the coast and did the one. Well, yeah, 502 00:26:41,400 --> 00:26:44,240 Speaker 2: we went to Pepperdine, saw that campus, went to Cal. 503 00:26:44,640 --> 00:26:46,920 Speaker 1: How do you think? Do you see how freaking beautiful 504 00:26:46,920 --> 00:26:47,520 Speaker 1: that campus was? 505 00:26:47,720 --> 00:26:48,280 Speaker 2: Pepperdine? 506 00:26:48,520 --> 00:26:49,960 Speaker 1: How do you get any work done on the camp? 507 00:26:50,119 --> 00:26:52,760 Speaker 2: How do you how do you ever leave when you're 508 00:26:52,840 --> 00:26:56,879 Speaker 2: on when you're midway of campus? Yeah, and there's deer 509 00:26:57,000 --> 00:27:00,359 Speaker 2: or walking across the campus and the campus is blow 510 00:27:00,400 --> 00:27:03,560 Speaker 2: you and then there's the Pacific Ocean. But worst go 511 00:27:03,640 --> 00:27:06,600 Speaker 2: to a baseball game. I wouldn't ever watch a ball 512 00:27:06,640 --> 00:27:10,080 Speaker 2: get pitched because you got the it's gorgeous, it's beautiful. 513 00:27:10,119 --> 00:27:12,000 Speaker 1: I give a speech. I gave a speech up there, 514 00:27:12,440 --> 00:27:16,000 Speaker 1: and midway through I forgot my words because the sun 515 00:27:16,080 --> 00:27:20,159 Speaker 1: was set over the beauty. Let me just say like, 516 00:27:20,280 --> 00:27:23,200 Speaker 1: there's look, you could hear me talk. That's much more. 517 00:27:23,440 --> 00:27:26,639 Speaker 2: Yeah, it's absolutely you went up and you went so 518 00:27:26,680 --> 00:27:29,600 Speaker 2: But that's my question. You show up to Cow, right, yeah, 519 00:27:29,800 --> 00:27:33,199 Speaker 2: first blush feel how'd you feel when you got that 520 00:27:33,280 --> 00:27:36,760 Speaker 2: the campus? And you know, how did how did this 521 00:27:36,880 --> 00:27:39,240 Speaker 2: eighteen year old kid who's moved all over the place 522 00:27:39,320 --> 00:27:42,639 Speaker 2: went to this crazy competitive high school against Cow? What 523 00:27:42,680 --> 00:27:45,080 Speaker 2: were your first impressions of it as a kid as 524 00:27:45,080 --> 00:27:47,360 Speaker 2: a freshman? I mean, what was that long? 525 00:27:47,440 --> 00:27:49,119 Speaker 1: And the context here, by the way, is like I 526 00:27:49,160 --> 00:27:52,119 Speaker 1: grew up in a village in India interspersed. 527 00:27:51,720 --> 00:27:53,840 Speaker 2: Yea, and you showed up to America with Maddie up 528 00:27:53,920 --> 00:27:54,560 Speaker 2: stay here. 529 00:27:54,680 --> 00:27:57,080 Speaker 1: And Staten Island. We lived in an apartment where like 530 00:27:58,280 --> 00:28:00,680 Speaker 1: we would play a game of what cockroach is the 531 00:28:00,720 --> 00:28:04,199 Speaker 1: fattest that you've seen today? Like, so I'm giving you 532 00:28:04,280 --> 00:28:07,680 Speaker 1: context because it's fascinating to see. And this is again 533 00:28:07,760 --> 00:28:10,560 Speaker 1: credit to my parents. You know, we have complicated family dynamics. 534 00:28:10,560 --> 00:28:13,320 Speaker 1: But putting all that aside, that's something that you know, 535 00:28:13,680 --> 00:28:15,840 Speaker 1: nobody can ever take away from them and their hard work. 536 00:28:16,200 --> 00:28:18,880 Speaker 1: But given all that context, I get come to Berkeley 537 00:28:19,720 --> 00:28:22,679 Speaker 1: and what's interesting is, first of all, Berkeley's like the 538 00:28:22,680 --> 00:28:25,960 Speaker 1: size of a small country. Like there's like sixty thousand 539 00:28:26,040 --> 00:28:30,360 Speaker 1: kids there. It's it's like ut it's huge, It's massive, 540 00:28:30,520 --> 00:28:33,639 Speaker 1: and the second thing is that I came as a 541 00:28:34,200 --> 00:28:36,320 Speaker 1: somebody that's probably going to be a pre med student, right, 542 00:28:36,359 --> 00:28:39,840 Speaker 1: And you and I talked about this, and I had 543 00:28:39,880 --> 00:28:42,320 Speaker 1: done debate in high school, and I really got this 544 00:28:42,360 --> 00:28:44,720 Speaker 1: bug of like I kind of liked this idea of 545 00:28:45,400 --> 00:28:47,840 Speaker 1: beating up people with my words, you know. And I 546 00:28:47,880 --> 00:28:49,320 Speaker 1: was like, I kind of liked this idea. And I 547 00:28:49,360 --> 00:28:51,440 Speaker 1: wasn't that great. I was average. Again, I was average. 548 00:28:51,480 --> 00:28:54,080 Speaker 1: I had never found my thing, and so I had 549 00:28:54,080 --> 00:28:56,560 Speaker 1: this debate thing. I'd come in as kind of a 550 00:28:56,560 --> 00:29:01,320 Speaker 1: pre med person. I took my bioclass. And the crazy 551 00:29:01,320 --> 00:29:03,480 Speaker 1: thing about cal was that, again, it puts you in 552 00:29:03,520 --> 00:29:06,040 Speaker 1: your place. What I love about public schools in this 553 00:29:06,120 --> 00:29:08,680 Speaker 1: country as opposed to private like Ivy schools and which 554 00:29:08,680 --> 00:29:10,400 Speaker 1: just came from the University of Notre Dame, which is 555 00:29:10,440 --> 00:29:14,440 Speaker 1: a beautiful private school, is that how do you win 556 00:29:14,480 --> 00:29:16,560 Speaker 1: in an environment where there's no advisors and no coddling 557 00:29:16,640 --> 00:29:19,000 Speaker 1: sixty thousand people? You have to fight for it. And 558 00:29:19,360 --> 00:29:22,959 Speaker 1: that was essentially that first semester. It's crazy, though, is 559 00:29:23,920 --> 00:29:27,280 Speaker 1: second semester. I had this inkling President Trump had just 560 00:29:27,320 --> 00:29:29,840 Speaker 1: been elected. I had that political bug, like I was 561 00:29:29,880 --> 00:29:32,760 Speaker 1: interested in politics, because of debate, but I was still 562 00:29:32,880 --> 00:29:34,560 Speaker 1: interested in sort of trying to do the med thing 563 00:29:34,680 --> 00:29:37,080 Speaker 1: because of my parents and also because I felt like 564 00:29:37,120 --> 00:29:38,760 Speaker 1: that was something that I wanted to do as well 565 00:29:38,760 --> 00:29:42,920 Speaker 1: at that time. And then we had so Trump. We 566 00:29:43,000 --> 00:29:45,960 Speaker 1: had at this pre met thing and campus is crazy. 567 00:29:46,320 --> 00:29:50,280 Speaker 1: Berkeley is oftentimes known as the Republic of Berkeley. You know, 568 00:29:50,320 --> 00:29:53,000 Speaker 1: it's politics are off the charts, and it started becoming 569 00:29:53,000 --> 00:29:56,040 Speaker 1: a centerpiece for a lot of tumult and a lot 570 00:29:56,080 --> 00:29:59,160 Speaker 1: of those things that you today Sarah culture war issues. 571 00:29:59,240 --> 00:30:02,520 Speaker 1: At that point, we're at the forefront of campus, but 572 00:30:02,560 --> 00:30:07,680 Speaker 1: not mainstream. February second, twenty seventeen, the College Republicans invite 573 00:30:08,000 --> 00:30:10,640 Speaker 1: the speaker to campus by the name of Milo Annapolis. 574 00:30:10,680 --> 00:30:14,760 Speaker 4: All right, hang on, yeah, you're getting there. Yeah, but 575 00:30:14,840 --> 00:30:19,400 Speaker 4: first yeah, and we're going to this next You're competing, 576 00:30:19,600 --> 00:30:23,000 Speaker 4: you're trying to find your place, you're fitting in. Your 577 00:30:23,000 --> 00:30:25,640 Speaker 4: mother wants you to be a doctor, and you're being 578 00:30:25,920 --> 00:30:28,920 Speaker 4: pre mad and you're doing that. But you love debate, 579 00:30:29,280 --> 00:30:34,640 Speaker 4: and clearly you have an inkling toward an interest in 580 00:30:34,920 --> 00:30:38,360 Speaker 4: the public debate. Maybe not politics, but not the politics, 581 00:30:38,880 --> 00:30:41,240 Speaker 4: but the public debate. Yeah, well, you're in the right 582 00:30:41,280 --> 00:30:45,080 Speaker 4: place because it's Berkeley. Yeah, because they will protest protesting. 583 00:30:45,120 --> 00:30:46,080 Speaker 1: They protest everything. 584 00:30:46,200 --> 00:30:47,640 Speaker 2: They will protest, protesting. 585 00:30:47,840 --> 00:30:48,520 Speaker 1: Absolutely. 586 00:30:48,800 --> 00:30:51,120 Speaker 2: If they're protesting, let's protest their protest. 587 00:30:51,320 --> 00:30:52,880 Speaker 1: That's my joke about Berkeley. 588 00:30:53,000 --> 00:30:54,960 Speaker 2: Well, it's true, right. 589 00:30:54,720 --> 00:30:58,400 Speaker 1: And sometimes the things that they protest are it'll make 590 00:30:58,400 --> 00:31:02,600 Speaker 1: you pause. She I mean a great example. 591 00:31:02,280 --> 00:31:03,800 Speaker 2: Give us a ridiculous protest. 592 00:31:04,360 --> 00:31:06,280 Speaker 1: Well, in this case, they weren't. Actually they were just 593 00:31:06,320 --> 00:31:07,680 Speaker 1: made up in issues so they didn't have to go 594 00:31:07,680 --> 00:31:12,320 Speaker 1: to class. And again, this is like tall my, this 595 00:31:12,360 --> 00:31:14,120 Speaker 1: is not me throwing shade at cow. Like. There's a 596 00:31:14,160 --> 00:31:15,840 Speaker 1: lot of people that protest legitimate things. We have a 597 00:31:15,840 --> 00:31:18,440 Speaker 1: lot of union stuff there. All the employees are unionized. 598 00:31:18,440 --> 00:31:19,200 Speaker 1: There's a lot of action. 599 00:31:19,320 --> 00:31:20,280 Speaker 2: I'm not saying. 600 00:31:23,560 --> 00:31:28,280 Speaker 1: Coach Bill. Let's just say that Berkeley holds the record 601 00:31:28,320 --> 00:31:32,440 Speaker 1: for how many publicly nude people I've seen absolutely, it's 602 00:31:32,440 --> 00:31:36,640 Speaker 1: a fact. Being a protest or are you protesting protesters? 603 00:31:36,720 --> 00:31:40,440 Speaker 1: I know I've seen protesters be nude. I've seen protesters 604 00:31:40,440 --> 00:31:44,640 Speaker 1: protesting nudity. I've seen people, animal rights folks doused in 605 00:31:44,680 --> 00:31:47,640 Speaker 1: fake blood on campus, you know, sitting in a cage, 606 00:31:47,680 --> 00:31:53,680 Speaker 1: a fake cage. I've seen uh, Christian preachers stand there 607 00:31:53,680 --> 00:31:55,960 Speaker 1: talking about the fact that, like the heavens are going 608 00:31:56,040 --> 00:31:59,680 Speaker 1: to break tomorrow. You know, Berkeley is a place that 609 00:32:00,120 --> 00:32:08,160 Speaker 1: tracts interesting people that like have deep convictions, crazy people, 610 00:32:08,960 --> 00:32:11,560 Speaker 1: and normal people that are just trying to get a job. 611 00:32:13,920 --> 00:32:19,280 Speaker 1: And and I fit that ladder most ladder category, I. 612 00:32:19,240 --> 00:32:23,520 Speaker 2: Think I would protest naked people protesting? 613 00:32:24,760 --> 00:32:25,840 Speaker 1: Would you be naked doing it? 614 00:32:27,720 --> 00:32:30,120 Speaker 2: Have you seen me? No? 615 00:32:30,960 --> 00:32:32,040 Speaker 1: Fly? 616 00:32:32,400 --> 00:32:38,160 Speaker 2: No, not this guy. Suffice it to say, though, if 617 00:32:38,160 --> 00:32:41,800 Speaker 2: you're a freshman and you're rolling up to this atmosphere, man, 618 00:32:42,200 --> 00:32:43,680 Speaker 2: it's it's twenty sixteen. 619 00:32:43,760 --> 00:32:44,240 Speaker 3: Just happened. 620 00:32:44,400 --> 00:32:47,960 Speaker 2: Yeah, it's got to be a little bit of culture shot. 621 00:32:48,640 --> 00:32:51,800 Speaker 2: But the other thing I would think is that after 622 00:32:51,800 --> 00:32:55,040 Speaker 2: a while, you get a little numb to the protest. 623 00:32:55,200 --> 00:32:58,760 Speaker 2: It's almost like, hold it, Why did anybody protested today? Yeah? 624 00:32:58,880 --> 00:33:03,080 Speaker 2: When they, I mean, is so common that they almost 625 00:33:03,240 --> 00:33:08,600 Speaker 2: lose their bite because everybody's always protested, like whatever. But 626 00:33:09,000 --> 00:33:11,800 Speaker 2: that changed on the day you're about to tell us about, 627 00:33:11,840 --> 00:33:13,640 Speaker 2: because this became more than a protest. 628 00:33:13,880 --> 00:33:16,360 Speaker 1: Yes, so tell us about. 629 00:33:16,320 --> 00:33:20,640 Speaker 2: This day that ultimately changed the direction of your life. 630 00:33:22,200 --> 00:33:30,760 Speaker 2: But first, a few messages from our sponsors. 631 00:33:34,720 --> 00:33:36,320 Speaker 1: If you were telling me this is what I would 632 00:33:36,360 --> 00:33:38,800 Speaker 1: be doing what days it till you know, October third, 633 00:33:39,600 --> 00:33:41,240 Speaker 1: time stamp. 634 00:33:41,600 --> 00:33:43,920 Speaker 2: There you go, Alex, I know what the guests did. 635 00:33:44,440 --> 00:33:45,480 Speaker 1: I can't see the day guy. 636 00:33:45,720 --> 00:33:49,400 Speaker 2: Sorry, you know what. That's too bad. He can get 637 00:33:49,400 --> 00:33:55,000 Speaker 2: over it. Yeah, we're on October third today, so of 638 00:33:55,080 --> 00:34:00,960 Speaker 2: normal folks at a full fledged timestam. Yeah, I love it. 639 00:34:01,280 --> 00:34:05,240 Speaker 1: Alex is like the time portal guy. Yeah, but essentially. Yeah, 640 00:34:05,280 --> 00:34:08,440 Speaker 1: February second, twenty seventeen, I was walking back from the seminar. 641 00:34:08,960 --> 00:34:10,719 Speaker 1: One other thing I didn't tell you was because I 642 00:34:10,719 --> 00:34:14,120 Speaker 1: was waitlisted to college. Berkeley has sixty thousand kids. Now 643 00:34:14,120 --> 00:34:16,480 Speaker 1: it's even more. I'm pretty sure they don't have enough 644 00:34:16,520 --> 00:34:19,520 Speaker 1: housing for students, so they have a homeless student population, 645 00:34:19,600 --> 00:34:21,640 Speaker 1: believe it or not. No, I'm being serious. 646 00:34:21,840 --> 00:34:23,680 Speaker 2: Somebody I should protest that. Yeah. 647 00:34:23,960 --> 00:34:25,800 Speaker 1: See that's what I'm saying. If you protest everything, you 648 00:34:25,880 --> 00:34:27,680 Speaker 1: lose the bite on the issues that actually matter. 649 00:34:27,840 --> 00:34:28,680 Speaker 2: Like that's it. 650 00:34:28,719 --> 00:34:31,200 Speaker 1: So that's the problem. You've solved Berkeley's issues in like 651 00:34:31,239 --> 00:34:34,960 Speaker 1: ten minutes, and so essentially I would be So. I 652 00:34:35,000 --> 00:34:36,640 Speaker 1: was a part of this program that they've now shut 653 00:34:36,719 --> 00:34:42,200 Speaker 1: down called the Fall Program for freshmen San Francisco now Berkeley. 654 00:34:42,200 --> 00:34:44,719 Speaker 1: If you know anything about the geography. Berkeley's on this 655 00:34:44,800 --> 00:34:46,719 Speaker 1: side of the bay and San Francisco's on this side 656 00:34:46,760 --> 00:34:48,920 Speaker 1: of the bay. Nobody told me that for the entirety 657 00:34:48,960 --> 00:34:51,200 Speaker 1: of first semester, every morning at seven am, they would 658 00:34:51,239 --> 00:34:53,160 Speaker 1: bust me on the F bus all the way to 659 00:34:53,160 --> 00:34:56,759 Speaker 1: San Francisco to take class. I was so average that 660 00:34:56,800 --> 00:34:58,719 Speaker 1: when I got there, I wasn't good enough to take 661 00:34:58,760 --> 00:35:01,680 Speaker 1: class in Berkeley. And so I would take a bus 662 00:35:01,760 --> 00:35:03,839 Speaker 1: every morning with some of my friends that are now 663 00:35:03,880 --> 00:35:07,240 Speaker 1: still my friends. The F bus, show up to FPF 664 00:35:07,280 --> 00:35:10,520 Speaker 1: Berkeley or fps San Francisco, take class there, and then 665 00:35:10,600 --> 00:35:12,839 Speaker 1: bust back. You know what's really ironic. By the way, 666 00:35:12,880 --> 00:35:16,040 Speaker 1: now I live two blocks from FPF at San Francisco now, 667 00:35:16,560 --> 00:35:20,200 Speaker 1: but that's a whole nother thing. So I'm doing this 668 00:35:20,239 --> 00:35:23,000 Speaker 1: bussing thing. Second semester. They're like, okay, now you can. 669 00:35:23,040 --> 00:35:25,960 Speaker 1: You've earned your spot, we've enrolled some new kids. You 670 00:35:26,000 --> 00:35:28,680 Speaker 1: can take classes on campus. So they starting classes on campus. 671 00:35:28,680 --> 00:35:30,600 Speaker 1: Now I'm walking back from this math seminar, right, and 672 00:35:30,640 --> 00:35:33,120 Speaker 1: so it's February second, twenty seventeen, so we're about three 673 00:35:33,120 --> 00:35:37,640 Speaker 1: weeks into this semester. I'm walking back and that day 674 00:35:37,760 --> 00:35:40,960 Speaker 1: that day specifically, I remember I wanted to walk. I 675 00:35:40,960 --> 00:35:43,319 Speaker 1: love sunsets and nature's a big thing for me. And 676 00:35:43,360 --> 00:35:46,200 Speaker 1: so the way that the sunsets in Berkeley, the way 677 00:35:46,200 --> 00:35:48,799 Speaker 1: that the main street telegraph intersects on campus, you can 678 00:35:48,840 --> 00:35:51,600 Speaker 1: see the sun setting over the Pacific Ocean right above 679 00:35:51,640 --> 00:35:55,040 Speaker 1: the Golden Ape Bridge. It's beautiful. Wow, it's amazing. And 680 00:35:55,040 --> 00:35:58,600 Speaker 1: the bridge is very far away, which is it's a 681 00:35:58,680 --> 00:36:01,239 Speaker 1: much better view, but because Berkeley's all the way across 682 00:36:01,280 --> 00:36:02,760 Speaker 1: the bay, but you can see it in the distance. 683 00:36:03,520 --> 00:36:06,319 Speaker 1: And then suddenly I hear like helicopters flying overhead and 684 00:36:06,320 --> 00:36:08,000 Speaker 1: shouting in the distance, and I have the exact same 685 00:36:08,040 --> 00:36:10,040 Speaker 1: reaction you just did, which is like, it's Berkeley. You know, 686 00:36:10,120 --> 00:36:15,239 Speaker 1: we protest everything. You know, somebody's getting protested. Hopefully it's 687 00:36:15,239 --> 00:36:20,120 Speaker 1: a real issue. And then this cafe window is broken 688 00:36:20,160 --> 00:36:22,799 Speaker 1: in an inside where it was a cow dining hall 689 00:36:22,840 --> 00:36:25,040 Speaker 1: where the food, where the food is surface students, and 690 00:36:25,040 --> 00:36:28,160 Speaker 1: inside it said CNN you see Berkeley students protest free speech. 691 00:36:28,160 --> 00:36:30,640 Speaker 1: I was like, wait, this is actually something different. What 692 00:36:30,840 --> 00:36:33,200 Speaker 1: was crazy was that the film crew that was filming 693 00:36:33,239 --> 00:36:36,440 Speaker 1: that was standing right next to me, and you're seeing it, 694 00:36:36,520 --> 00:36:38,600 Speaker 1: and I'm seeing it, and that was like the breaking 695 00:36:38,680 --> 00:36:40,480 Speaker 1: the fourth wall, where you know, like most of us 696 00:36:40,520 --> 00:36:44,759 Speaker 1: are usually the normal people are just observers of politics, 697 00:36:44,840 --> 00:36:47,680 Speaker 1: you know, of media, all these things. Suddenly I actually 698 00:36:47,680 --> 00:36:50,520 Speaker 1: felt like a participant. I went from me an observer 699 00:36:50,600 --> 00:36:53,239 Speaker 1: to a participant. And so then the question became what 700 00:36:53,320 --> 00:36:56,960 Speaker 1: do I want to do next? Well, as the curious, angsty, 701 00:36:57,600 --> 00:37:01,759 Speaker 1: pre med interested political Berkeley student I was, I was like, 702 00:37:01,880 --> 00:37:03,680 Speaker 1: I'm going to go into the middle of it. And 703 00:37:03,719 --> 00:37:06,200 Speaker 1: so I heard the shouting. We went into Sprouplaza and 704 00:37:06,239 --> 00:37:09,120 Speaker 1: I have these pictures on my phone still, and went 705 00:37:09,160 --> 00:37:12,120 Speaker 1: into sporal Plaza and there you had hundreds of students 706 00:37:12,160 --> 00:37:15,319 Speaker 1: protesting this guy's speech. Now you're like, who's this guy? 707 00:37:15,400 --> 00:37:18,200 Speaker 1: What's a speech? The speaker came to campus a Miley 708 00:37:18,200 --> 00:37:22,520 Speaker 1: Annopolis at the College Republicans invited. Now, for anybody that's listening, Milo, 709 00:37:23,160 --> 00:37:27,000 Speaker 1: is this like random kind of provocateur guy. He's not 710 00:37:27,160 --> 00:37:30,200 Speaker 1: interested in good faith conversations. He's basically been sidelined now 711 00:37:30,960 --> 00:37:31,520 Speaker 1: at that time. 712 00:37:31,719 --> 00:37:33,000 Speaker 2: But he was heavy, right. 713 00:37:32,840 --> 00:37:34,359 Speaker 1: He was heavy at that time. He was very big 714 00:37:34,400 --> 00:37:36,799 Speaker 1: at that time, and he would do this college chour 715 00:37:36,920 --> 00:37:40,080 Speaker 1: thing where he would basically show up and like provoke 716 00:37:40,640 --> 00:37:43,520 Speaker 1: angry college liberals and like say stupid things about them 717 00:37:43,560 --> 00:37:45,680 Speaker 1: and get them really angry and frustrated in some ways 718 00:37:45,680 --> 00:37:48,400 Speaker 1: actually like attack them. Basically, he made a living out 719 00:37:48,400 --> 00:37:49,120 Speaker 1: of bullying people. 720 00:37:49,200 --> 00:37:54,040 Speaker 2: That was his thing, and which, let's be honest, there's 721 00:37:54,080 --> 00:37:55,200 Speaker 2: nothing good about. 722 00:37:54,960 --> 00:37:57,040 Speaker 1: That, nothing good about it. Well, he did nothing for 723 00:37:57,080 --> 00:38:01,920 Speaker 1: his cause, but it's his right, which is right exactly. 724 00:38:02,040 --> 00:38:06,760 Speaker 1: So what happened you go to it's right. What's fascinating 725 00:38:06,800 --> 00:38:10,680 Speaker 1: about Berkeley's Now this is twenty seventeen, right, these protests 726 00:38:10,680 --> 00:38:14,560 Speaker 1: are happening. Students are protesting in defense of my fellow students. 727 00:38:14,560 --> 00:38:16,919 Speaker 1: What we found out was also that outside groups came 728 00:38:16,920 --> 00:38:19,000 Speaker 1: in because the other thing about Berkeley is it attracts 729 00:38:19,000 --> 00:38:21,000 Speaker 1: a bunch of people. So a lot of far right 730 00:38:21,000 --> 00:38:22,759 Speaker 1: people show up, a lot of far left people show up. 731 00:38:22,800 --> 00:38:24,800 Speaker 1: It's basically a way for people to get a platform, 732 00:38:25,080 --> 00:38:29,200 Speaker 1: and so all these people start showing up. The history 733 00:38:29,200 --> 00:38:32,560 Speaker 1: now of this place is in the sixties, Sprout Plaza 734 00:38:33,080 --> 00:38:36,840 Speaker 1: was where doctor King spoke, It's where Mario Savio started 735 00:38:36,840 --> 00:38:38,680 Speaker 1: the free speech movement. At that time, the liberals were 736 00:38:38,719 --> 00:38:41,040 Speaker 1: on the side of you know, at least the very 737 00:38:41,080 --> 00:38:43,279 Speaker 1: extreme ones are on the side of free speech, and 738 00:38:43,320 --> 00:38:45,680 Speaker 1: so it was such a fascinating cultural ship. You could 739 00:38:45,680 --> 00:38:48,239 Speaker 1: see it happening in front of you. It's almost like 740 00:38:48,280 --> 00:38:50,080 Speaker 1: Memphis in some ways. You know, you go to certain 741 00:38:50,080 --> 00:38:53,560 Speaker 1: places and they've changed completely. And I saw in those 742 00:38:53,600 --> 00:38:56,720 Speaker 1: protests violence. I saw students crying. I saw a journalists 743 00:38:56,719 --> 00:38:59,080 Speaker 1: whose face was punched, his nose were broken in the 744 00:38:59,320 --> 00:39:02,560 Speaker 1: stores are shattered. There was hundreds of police officers, they 745 00:39:02,600 --> 00:39:05,360 Speaker 1: brought in California State Police CPD. 746 00:39:05,760 --> 00:39:09,640 Speaker 2: And let's let's be candidate. This is all because people 747 00:39:11,600 --> 00:39:14,680 Speaker 2: who didn't agree with what this far right guy had 748 00:39:14,719 --> 00:39:19,920 Speaker 2: to say. Yeah, we're doing everything they could to keep 749 00:39:20,000 --> 00:39:22,600 Speaker 2: him from saying whatever it was he wanted to say, 750 00:39:22,640 --> 00:39:28,120 Speaker 2: which is the irony of the opposite of free speech. 751 00:39:28,200 --> 00:39:30,200 Speaker 1: So there's two things I'll say to this, because this 752 00:39:30,280 --> 00:39:31,680 Speaker 1: is a little bit of a copy. And this is 753 00:39:31,680 --> 00:39:33,840 Speaker 1: where actually people get hold up because they're like, all right, so, 754 00:39:33,880 --> 00:39:36,600 Speaker 1: Coach Bill Manu, are not talking about this far right 755 00:39:36,760 --> 00:39:39,040 Speaker 1: person being protested. They must be a bunch of conservatives 756 00:39:39,040 --> 00:39:41,239 Speaker 1: that care about free speech. And that's not the message, 757 00:39:41,560 --> 00:39:43,360 Speaker 1: because first of all, free speech should not be a 758 00:39:43,400 --> 00:39:46,560 Speaker 1: liberal or conservative values and American values a human value 759 00:39:46,960 --> 00:39:52,880 Speaker 1: more and Secondarily is that free speech is throughout history. 760 00:39:53,320 --> 00:39:56,239 Speaker 1: It's the value that people use that feel like they're 761 00:39:56,320 --> 00:39:59,000 Speaker 1: under attack because it's your weapon, it's your access card 762 00:39:59,040 --> 00:40:02,400 Speaker 1: to society. Sixties, it was those anti war protesters and 763 00:40:02,480 --> 00:40:04,800 Speaker 1: liberals and civil rights activists, so for them, free speech 764 00:40:04,880 --> 00:40:07,480 Speaker 1: was a thing. Now a lot of conservatives on campuses 765 00:40:07,480 --> 00:40:09,560 Speaker 1: feel under attack and so it's their thing. What we 766 00:40:09,640 --> 00:40:11,760 Speaker 1: have to recognize is that free speech is a value 767 00:40:11,760 --> 00:40:14,640 Speaker 1: that moves the society forward. And it's very shortsighted to say, well, 768 00:40:14,719 --> 00:40:16,560 Speaker 1: Manu and Coach Bill are talking about this farraka and 769 00:40:16,680 --> 00:40:18,640 Speaker 1: kicked off. This is where I signed off on this podcast, 770 00:40:18,680 --> 00:40:20,640 Speaker 1: because it must mean that there are a bunch of 771 00:40:20,640 --> 00:40:22,839 Speaker 1: conservatives that want, you know, liberal kids see it hurt. 772 00:40:23,600 --> 00:40:26,080 Speaker 1: So here's the two things I'll say now about that moment. 773 00:40:26,320 --> 00:40:30,160 Speaker 1: First is you and I the intent of those protests 774 00:40:30,200 --> 00:40:33,160 Speaker 1: was to shut down my Low. We're now six years later, 775 00:40:33,160 --> 00:40:37,440 Speaker 1: we're still talking about him. That protest single handily raised 776 00:40:37,440 --> 00:40:40,080 Speaker 1: this guy's profile to the stratosphere. 777 00:40:40,560 --> 00:40:43,239 Speaker 2: That is interesting and true his name. 778 00:40:43,320 --> 00:40:45,120 Speaker 1: You and I are only talking about him because he 779 00:40:45,160 --> 00:40:47,560 Speaker 1: got protests that day. That day, if nothing had happened, 780 00:40:48,000 --> 00:40:49,879 Speaker 1: I probably would not be doing what I'm doing, and 781 00:40:50,360 --> 00:40:51,960 Speaker 1: you and I probably would have never met. 782 00:40:51,760 --> 00:40:53,920 Speaker 2: And we sure would be talking about this guy. 783 00:40:53,800 --> 00:40:59,120 Speaker 1: And this Greek British dude would have no relevance. So 784 00:40:59,200 --> 00:41:02,879 Speaker 1: that's first thing is let's try to understand and let's 785 00:41:02,880 --> 00:41:06,080 Speaker 1: not let this moment convolute our tactics. And the second 786 00:41:06,080 --> 00:41:09,560 Speaker 1: thing is the question of like, well, who's allowed to 787 00:41:09,600 --> 00:41:12,640 Speaker 1: speak and who's not. This is where I think it's 788 00:41:12,680 --> 00:41:14,040 Speaker 1: a little bit of an onus on the people that 789 00:41:14,080 --> 00:41:16,319 Speaker 1: are inviting these speakers and bringing on these people. It's 790 00:41:16,920 --> 00:41:19,680 Speaker 1: you know, what's your goal, what's your intention? I do 791 00:41:19,719 --> 00:41:21,040 Speaker 1: think that a part of it is to stir the 792 00:41:21,040 --> 00:41:22,839 Speaker 1: pot a little bit. You're trying to provoke a little bit, 793 00:41:23,000 --> 00:41:25,600 Speaker 1: you know, if you actually want real conservative thought on 794 00:41:25,640 --> 00:41:29,239 Speaker 1: that campus at that time, bring somebody semi serious, you know. 795 00:41:30,080 --> 00:41:35,320 Speaker 1: And simultaneously, for my liberal friends and folks, recognize that 796 00:41:35,800 --> 00:41:39,440 Speaker 1: protest is very important, but at that moment us protesting 797 00:41:39,520 --> 00:41:41,920 Speaker 1: him only led to not only more violence, but the 798 00:41:41,960 --> 00:41:44,200 Speaker 1: campus can be shaken. I think it cost the university 799 00:41:44,239 --> 00:41:47,799 Speaker 1: a million dollars in damages million and a half and 800 00:41:47,880 --> 00:41:49,400 Speaker 1: forget the UC systemic. 801 00:41:49,520 --> 00:41:51,400 Speaker 2: Well, in my understanding is a lot of that was 802 00:41:51,480 --> 00:41:54,600 Speaker 2: caused about people that weren't even Berkeley students, and they 803 00:41:54,600 --> 00:41:55,360 Speaker 2: were masked. 804 00:41:55,480 --> 00:41:57,600 Speaker 1: It was outside And was I not masked, Yes, a 805 00:41:57,600 --> 00:42:00,680 Speaker 1: lot of them were masked. It was outside groups. And 806 00:42:00,880 --> 00:42:02,839 Speaker 1: what that also did, by the way, was it set 807 00:42:02,840 --> 00:42:05,279 Speaker 1: a precedent for an how over the next three four 808 00:42:05,400 --> 00:42:09,279 Speaker 1: years you would see rallies on campus and in communities 809 00:42:09,960 --> 00:42:12,200 Speaker 1: that had nothing to do with the students, but people 810 00:42:12,280 --> 00:42:15,120 Speaker 1: knew that if they went to Berkeley, it's just a cultural, 811 00:42:15,280 --> 00:42:17,200 Speaker 1: iconic place, and so they're going to get attention. 812 00:42:17,360 --> 00:42:20,160 Speaker 2: I want to tell you a story about my alma mater. Yeah, 813 00:42:20,840 --> 00:42:25,360 Speaker 2: James Meredith was the first black man admitted to the 814 00:42:25,440 --> 00:42:30,640 Speaker 2: University of Mississippi, and Kennedy was the president then, and 815 00:42:31,520 --> 00:42:37,040 Speaker 2: there were three days of riots and people died. What 816 00:42:37,160 --> 00:42:39,799 Speaker 2: they found out that BI found out after they did 817 00:42:39,800 --> 00:42:45,840 Speaker 2: the investigation, is that the student body was there doing 818 00:42:45,840 --> 00:42:50,399 Speaker 2: what student body does, but the gunfire and the true 819 00:42:50,480 --> 00:42:55,279 Speaker 2: violence were from people from four different states, not from 820 00:42:55,360 --> 00:42:59,480 Speaker 2: the University of Mississippi. So while there was protest and 821 00:43:00,160 --> 00:43:04,080 Speaker 2: there it was the heart of the civil rights question, 822 00:43:05,000 --> 00:43:07,719 Speaker 2: and there was all kinds of things that went on 823 00:43:07,840 --> 00:43:12,440 Speaker 2: that were wrong that hopefully history will show that we 824 00:43:12,520 --> 00:43:14,840 Speaker 2: continue to try to do well with and continue to 825 00:43:14,880 --> 00:43:18,360 Speaker 2: prove on the point is the vast majority of the violence, 826 00:43:18,440 --> 00:43:23,120 Speaker 2: everything came from outside the city, outside the state, and 827 00:43:23,200 --> 00:43:29,080 Speaker 2: the outside the campus. But what happens is situations like 828 00:43:29,160 --> 00:43:34,600 Speaker 2: that give a theater and a platform to the crazies. Yeah, 829 00:43:35,120 --> 00:43:37,160 Speaker 2: and it sounds to me like that's what happened to 830 00:43:37,200 --> 00:43:38,160 Speaker 2: cal that day. 831 00:43:38,200 --> 00:43:41,319 Speaker 1: Have you heard the term conflict entrepreneurs? 832 00:43:41,680 --> 00:43:43,520 Speaker 2: Oh? Yeah, so sure. 833 00:43:43,840 --> 00:43:48,319 Speaker 1: One of our good friend's name is Monica Guzman and 834 00:43:48,360 --> 00:43:52,080 Speaker 1: her friend Amana Ripley Amanda wrote this book, I think 835 00:43:52,080 --> 00:43:54,520 Speaker 1: it was last year or two years ago, called Healthy Conflict. 836 00:43:54,840 --> 00:43:56,000 Speaker 1: And one of the things that comes up in that 837 00:43:56,040 --> 00:44:01,040 Speaker 1: book is that right now, the people that divide us, 838 00:44:01,360 --> 00:44:03,600 Speaker 1: And this is something I say a lot. Is my 839 00:44:03,640 --> 00:44:06,080 Speaker 1: assumption and belief is that I think, Coach Bill, the 840 00:44:06,160 --> 00:44:08,920 Speaker 1: people that divide us understand human nature better than the 841 00:44:08,920 --> 00:44:10,040 Speaker 1: people trying to bring us together. 842 00:44:10,120 --> 00:44:12,520 Speaker 2: Oh. I think I think you could. I think you 843 00:44:12,560 --> 00:44:18,160 Speaker 2: could fill gymnasiums full of those people who currently work 844 00:44:18,239 --> 00:44:24,960 Speaker 2: in our in our national media and with that one skill, yep. 845 00:44:25,320 --> 00:44:29,239 Speaker 1: And I call it the outrage industrial complex. And the 846 00:44:29,320 --> 00:44:33,759 Speaker 1: idea behind that is that people understand that you and 847 00:44:33,800 --> 00:44:37,200 Speaker 1: I have a much stronger propensity to hate each other 848 00:44:37,239 --> 00:44:41,600 Speaker 1: than love each other. I think hate is like gasoline. 849 00:44:41,600 --> 00:44:45,120 Speaker 1: It burns really quickly, but it disappears also pretty quickly, 850 00:44:46,760 --> 00:44:50,440 Speaker 1: but it's very quick. It's high propensity. I think love 851 00:44:51,520 --> 00:44:54,120 Speaker 1: is like rocket fuel. It takes a wild ignite, but 852 00:44:54,160 --> 00:44:57,560 Speaker 1: once it ignites and sustains, it's very strong. And I 853 00:44:57,560 --> 00:44:59,719 Speaker 1: think the problem right now is because our attention spans 854 00:44:59,719 --> 00:45:03,040 Speaker 1: are so minuscule, because you know, you and I have 855 00:45:03,080 --> 00:45:05,120 Speaker 1: to go after this podcast and produce all these short clips. 856 00:45:05,440 --> 00:45:08,480 Speaker 1: People can't watch things more than ten seconds because we 857 00:45:08,640 --> 00:45:11,160 Speaker 1: barely ever now interact with people that are different than us, 858 00:45:11,239 --> 00:45:14,200 Speaker 1: because you know, somebody who lives in Washington, DC and 859 00:45:14,239 --> 00:45:17,799 Speaker 1: somebody that lives in Richmond only probably drive between those 860 00:45:17,800 --> 00:45:21,320 Speaker 1: cities and have never interacted with anybody between those two cities. 861 00:45:21,960 --> 00:45:25,080 Speaker 1: For all of those reasons, and the siloing and the 862 00:45:25,120 --> 00:45:28,200 Speaker 1: fact that are politicians are capturing and capitalizing on that. 863 00:45:29,080 --> 00:45:31,880 Speaker 1: You've got people that are turning us into tools for 864 00:45:31,920 --> 00:45:35,000 Speaker 1: their money, and then you and I are giving up 865 00:45:35,080 --> 00:45:38,640 Speaker 1: on each other because we're buying to their bullshit. And 866 00:45:38,680 --> 00:45:41,960 Speaker 1: that's basically the moment. So and that's what those people, 867 00:45:42,000 --> 00:45:44,000 Speaker 1: those people that show up the campus. That's what they're doing. 868 00:45:44,200 --> 00:45:47,440 Speaker 2: Before you were in school. One of the things that 869 00:45:47,480 --> 00:45:50,400 Speaker 2: I learned when I was a young man was this 870 00:45:50,600 --> 00:45:55,000 Speaker 2: price I may vehemently disagree with everything that comes out 871 00:45:55,000 --> 00:45:57,440 Speaker 2: of your mouth, that I will fight to my death 872 00:45:57,520 --> 00:46:01,440 Speaker 2: for your right to say it. That was a very 873 00:46:01,480 --> 00:46:05,640 Speaker 2: strong American ideal for many, many, many, many many years. 874 00:46:06,120 --> 00:46:09,080 Speaker 2: And I think we've lost it. And I think that's 875 00:46:09,120 --> 00:46:10,759 Speaker 2: what was lost in Berkeley that day. 876 00:46:11,120 --> 00:46:13,200 Speaker 1: Why do you think we've lost it? Because you've seen 877 00:46:13,239 --> 00:46:16,120 Speaker 1: America much more than I have. You've lived here longer, 878 00:46:16,800 --> 00:46:19,560 Speaker 1: You know things. What's your assessment? 879 00:46:19,680 --> 00:46:26,160 Speaker 2: Money and power? Money and power? I think there's I 880 00:46:26,160 --> 00:46:30,440 Speaker 2: think there's an enormous amount of power and wealth that 881 00:46:30,600 --> 00:46:35,680 Speaker 2: has been generated in places like New York and our 882 00:46:35,760 --> 00:46:39,920 Speaker 2: media centers, and an enormous amount, far too much money 883 00:46:39,920 --> 00:46:43,480 Speaker 2: and power generated in the halls of Congress, and that, 884 00:46:43,719 --> 00:46:48,279 Speaker 2: like you say, people have developed a unique skill and 885 00:46:48,480 --> 00:46:53,160 Speaker 2: a keen understanding that I can generate more money and 886 00:46:53,280 --> 00:46:58,320 Speaker 2: power if I can divide. Because if I can scare 887 00:46:58,360 --> 00:47:00,600 Speaker 2: the hell out of people and divide them and get 888 00:47:00,640 --> 00:47:04,920 Speaker 2: them into my camp, I can use that fear to 889 00:47:05,040 --> 00:47:08,560 Speaker 2: generate more power from myself and therefore more money. And 890 00:47:08,719 --> 00:47:13,880 Speaker 2: I believe narratives and politics are crafted in order to 891 00:47:13,960 --> 00:47:19,480 Speaker 2: sustain and grow that money and power. And I think 892 00:47:19,520 --> 00:47:23,520 Speaker 2: we got to fix that, which is why your story 893 00:47:23,600 --> 00:47:28,440 Speaker 2: is so important, because after all, this happened in col 894 00:47:29,719 --> 00:47:33,680 Speaker 2: something happened inside of you, and it leads to what 895 00:47:33,719 --> 00:47:36,400 Speaker 2: you're doing today. So tell me about I think it 896 00:47:36,480 --> 00:47:39,279 Speaker 2: was twelve of you, right, tell me about that. 897 00:47:40,040 --> 00:47:43,239 Speaker 1: Yeah, you know. By the way, I have to say 898 00:47:43,239 --> 00:47:45,400 Speaker 1: one thing, the fact that you just recalled it was twelve. 899 00:47:45,520 --> 00:47:48,520 Speaker 1: Just for anybody that's listening. Coach Bill is a busy, 900 00:47:48,560 --> 00:47:50,840 Speaker 1: busy man. The fact that you remembered that means a 901 00:47:50,880 --> 00:47:53,640 Speaker 1: lot to me. It means that that's a tough thing 902 00:47:53,680 --> 00:47:57,080 Speaker 1: to do. And somebody that also does this and learning 903 00:47:57,120 --> 00:48:00,759 Speaker 1: from you and hearing from you. I think one of 904 00:48:00,760 --> 00:48:03,280 Speaker 1: the things that you're doing powerfully, especially in this conversation 905 00:48:03,320 --> 00:48:05,799 Speaker 1: but in general, and what I think is part of 906 00:48:05,840 --> 00:48:08,200 Speaker 1: what we need to try and flip this problem in 907 00:48:08,200 --> 00:48:12,080 Speaker 1: the set is you're making somebody feel like the story matters. 908 00:48:12,480 --> 00:48:14,759 Speaker 1: Your story does matter, okay, But the point is that 909 00:48:15,719 --> 00:48:18,839 Speaker 1: right now, I think a lot of people just feel purposeless. 910 00:48:19,000 --> 00:48:21,040 Speaker 1: I think a lot of people feel lost. 911 00:48:21,320 --> 00:48:23,480 Speaker 2: I agree I don't know that. I don't know that 912 00:48:23,480 --> 00:48:25,879 Speaker 2: I'll agree with you a lot of people feel purposeless, 913 00:48:26,160 --> 00:48:28,719 Speaker 2: but I absolutely agree with you that a lot of 914 00:48:28,719 --> 00:48:31,080 Speaker 2: people feel lost. And I don't mean lost inside their 915 00:48:31,120 --> 00:48:34,640 Speaker 2: own homes, but I mean lost in our culture. Yeah, 916 00:48:34,680 --> 00:48:42,640 Speaker 2: And unfortunately, that's our freaking culture. It is not DC's culture, 917 00:48:42,680 --> 00:48:45,319 Speaker 2: it is not New York's culture. It's our culture. And 918 00:48:45,400 --> 00:48:48,160 Speaker 2: until an army of normal folks take that culture back, 919 00:48:48,520 --> 00:48:51,200 Speaker 2: we're going to continue to feel lost in it. And 920 00:48:51,280 --> 00:48:53,960 Speaker 2: I think that's a shame. And I think that's that's 921 00:48:54,040 --> 00:48:57,160 Speaker 2: why you're here, is because I think the work you're 922 00:48:57,280 --> 00:49:00,279 Speaker 2: doing is one of the things that helps fix that. 923 00:49:00,480 --> 00:49:03,640 Speaker 2: But I got to have our listeners here. Why the 924 00:49:03,719 --> 00:49:05,400 Speaker 2: twelve and what you did? Yeah? 925 00:49:05,480 --> 00:49:10,600 Speaker 1: Yeah, So those twelve people were essentially not an army 926 00:49:10,640 --> 00:49:11,240 Speaker 1: but a squad. 927 00:49:12,640 --> 00:49:18,000 Speaker 2: You were a beat up two. We were smaller than 928 00:49:17,280 --> 00:49:18,480 Speaker 2: we Yeah. 929 00:49:18,320 --> 00:49:19,280 Speaker 1: We were a squad. 930 00:49:19,440 --> 00:49:19,800 Speaker 2: Squad. 931 00:49:19,840 --> 00:49:22,360 Speaker 1: We were a squad with a squat of Berkeley people, 932 00:49:22,480 --> 00:49:26,600 Speaker 1: of Berkeley people, which is very not formidable and so 933 00:49:26,600 --> 00:49:30,279 Speaker 1: so essentially what happened was that next day, right after 934 00:49:30,480 --> 00:49:32,280 Speaker 1: after after the protests, after. 935 00:49:32,280 --> 00:49:36,640 Speaker 2: The were mace noses were broken, a hundred some thousand 936 00:49:36,680 --> 00:49:40,040 Speaker 2: the police jumped in, they shut down campus helicopters, and 937 00:49:40,120 --> 00:49:43,920 Speaker 2: ultimately the campus decided, well, this guy can't speak, it's 938 00:49:43,960 --> 00:49:45,399 Speaker 2: too dangerous, and they pulled them. 939 00:49:45,480 --> 00:49:46,279 Speaker 1: Yeah, they pulled them. 940 00:49:46,560 --> 00:49:49,400 Speaker 2: So for the day, the protesters won. But as you 941 00:49:49,520 --> 00:49:52,680 Speaker 2: so well put it, we're talking about them six years later. 942 00:49:52,719 --> 00:49:55,320 Speaker 2: So ultimately they lost. They won, they won the battle, 943 00:49:55,360 --> 00:49:56,480 Speaker 2: and they really lost them. 944 00:49:56,520 --> 00:49:57,839 Speaker 1: They lost the war. They lost. 945 00:49:57,880 --> 00:49:59,879 Speaker 2: The next day, you and the twelve. 946 00:49:59,760 --> 00:50:04,080 Speaker 1: So me and the twelve uh Sholes, we should there 947 00:50:04,080 --> 00:50:07,840 Speaker 1: were those, there were, there were. It's funny. So I 948 00:50:07,880 --> 00:50:10,560 Speaker 1: did not know any of these people. And the next 949 00:50:10,680 --> 00:50:14,120 Speaker 1: day what happened was that all these students suddenly were rattled. 950 00:50:14,160 --> 00:50:16,680 Speaker 1: I mean, imagine your campus just goes upside down overnight. 951 00:50:16,800 --> 00:50:19,040 Speaker 1: You have like every television crew there every. 952 00:50:18,880 --> 00:50:21,920 Speaker 2: Day, and even in a place where protest on protests big, 953 00:50:22,200 --> 00:50:27,480 Speaker 2: even in this was like kind of like out. 954 00:50:28,160 --> 00:50:30,480 Speaker 1: I don't know the exact fact here, but I'm pretty 955 00:50:30,520 --> 00:50:33,480 Speaker 1: sure it was one of, if not the largest protests 956 00:50:33,520 --> 00:50:36,680 Speaker 1: since the sixties anti war protests. Wow, So in terms 957 00:50:36,719 --> 00:50:39,040 Speaker 1: of damage, in terms of impact, in terms of narrative, 958 00:50:39,520 --> 00:50:42,400 Speaker 1: and the next day essentially it was a very human emotion. 959 00:50:42,480 --> 00:50:45,000 Speaker 1: It was I mean I just felt bad for campus. 960 00:50:45,000 --> 00:50:46,319 Speaker 1: That was it, and I think a lot of people 961 00:50:46,320 --> 00:50:47,840 Speaker 1: felt bad. And so we started doing was a lot 962 00:50:47,880 --> 00:50:49,640 Speaker 1: of kids started showing up to Sprout Plaza and we 963 00:50:49,680 --> 00:50:52,440 Speaker 1: essentially started just picking up the trash, picking up the 964 00:50:52,480 --> 00:50:55,440 Speaker 1: broken bottles. These kids, I thought, I was so proud 965 00:50:55,680 --> 00:50:58,920 Speaker 1: of that community at that time, and showed me the 966 00:50:58,960 --> 00:51:02,239 Speaker 1: best of humanity. It was like, you know, forget all 967 00:51:02,239 --> 00:51:03,920 Speaker 1: of this for a second, like let's just let's just 968 00:51:03,960 --> 00:51:04,800 Speaker 1: help out our community. 969 00:51:05,000 --> 00:51:06,680 Speaker 2: That's you know. Now, that reminds me of the of 970 00:51:06,719 --> 00:51:11,960 Speaker 2: the of the the the citizens in Ferguson afterwards that 971 00:51:12,000 --> 00:51:13,880 Speaker 2: were out in the streets cleaning up the pres and 972 00:51:13,960 --> 00:51:15,600 Speaker 2: it didn't matter which side of that you are on. 973 00:51:15,640 --> 00:51:16,640 Speaker 2: They were just trying to clean up. 974 00:51:16,920 --> 00:51:17,920 Speaker 1: Our community was hurting. 975 00:51:18,040 --> 00:51:18,480 Speaker 2: That was it. 976 00:51:18,520 --> 00:51:21,480 Speaker 1: And and that's where the human of our democracy comes in. 977 00:51:21,520 --> 00:51:24,680 Speaker 1: And so there then after people started picking up stuff, 978 00:51:24,680 --> 00:51:27,840 Speaker 1: these like mini groups of people started forming just naturally. 979 00:51:27,840 --> 00:51:29,640 Speaker 1: And each of these groups people were like saying, like, 980 00:51:29,880 --> 00:51:31,840 Speaker 1: you know, I can do this to help or what 981 00:51:32,040 --> 00:51:35,480 Speaker 1: just happened? And I, because it's Berkeley, called them therapy circles. 982 00:51:35,520 --> 00:51:37,840 Speaker 1: And so these kids are all like, you know, commiserating 983 00:51:37,880 --> 00:51:39,920 Speaker 1: and all of us are commissering together and suddenly randomly 984 00:51:40,120 --> 00:51:42,520 Speaker 1: go into this one circle and there's a couple of 985 00:51:42,520 --> 00:51:45,719 Speaker 1: people there and they're like, hey, you know, we were 986 00:51:45,760 --> 00:51:49,400 Speaker 1: thinking about creating this organization that was focused on bridging 987 00:51:49,440 --> 00:51:53,400 Speaker 1: political differences, and this just happened. Talk about political differences, 988 00:51:53,400 --> 00:51:56,040 Speaker 1: this is a tsunami. And I was like, well, what 989 00:51:56,080 --> 00:51:58,240 Speaker 1: if we And we were like, what if we created 990 00:51:58,280 --> 00:52:02,680 Speaker 1: a like literally in this group, It's like maybe our 991 00:52:02,719 --> 00:52:07,479 Speaker 1: first event could be let's just talk about this. And 992 00:52:08,080 --> 00:52:10,800 Speaker 1: essentially what we did was a couple of days later 993 00:52:11,400 --> 00:52:16,279 Speaker 1: and between this interim, I essentially circulated this petition on 994 00:52:16,360 --> 00:52:19,000 Speaker 1: campus because there's this bad rap going around that UC 995 00:52:19,120 --> 00:52:21,719 Speaker 1: Berkeley students were violent, and it wasn't enough students, it 996 00:52:21,760 --> 00:52:24,440 Speaker 1: was just the random people from the outside. We circulated 997 00:52:24,440 --> 00:52:27,040 Speaker 1: this peedition, published it on the news that said UC 998 00:52:27,160 --> 00:52:31,040 Speaker 1: Berkeley students condemned violence. I had circulated across campus, and 999 00:52:31,040 --> 00:52:32,920 Speaker 1: again it was just like my tiny attempt to like 1000 00:52:33,400 --> 00:52:36,640 Speaker 1: try and do my part. It wasn't anything substantial. Then 1001 00:52:36,680 --> 00:52:39,480 Speaker 1: we held that discussion and man. 1002 00:52:39,400 --> 00:52:40,520 Speaker 2: How many people show up? 1003 00:52:40,640 --> 00:52:43,440 Speaker 1: So this is crazy. So mind you, I have like 1004 00:52:43,480 --> 00:52:46,200 Speaker 1: no background in organizing or anything like this. Like the 1005 00:52:46,560 --> 00:52:49,560 Speaker 1: closest I've been organizing is you know, like dissecting a 1006 00:52:49,600 --> 00:52:53,640 Speaker 1: frog in biology class. Like there's there's literally no intuition here. 1007 00:52:54,040 --> 00:52:56,840 Speaker 1: All we did was we started flying on our dorms 1008 00:52:56,840 --> 00:52:59,120 Speaker 1: and we like through flyers all our friends. We say, hey, 1009 00:52:59,120 --> 00:53:01,719 Speaker 1: like we're gonna host this ussion. And a bunch of 1010 00:53:01,719 --> 00:53:04,399 Speaker 1: people are like, is this a civic architecture frat? Because 1011 00:53:04,400 --> 00:53:06,160 Speaker 1: it was called Bridge Berkeley, It's like, which bridge are 1012 00:53:06,160 --> 00:53:07,719 Speaker 1: you going to build it? I was like, do I 1013 00:53:07,719 --> 00:53:10,560 Speaker 1: look like I can build a bridge? And so we 1014 00:53:10,680 --> 00:53:13,920 Speaker 1: like we we held this discussion and I think like 1015 00:53:14,520 --> 00:53:17,200 Speaker 1: eighty to seventy five to like eighty five people showed 1016 00:53:17,239 --> 00:53:19,480 Speaker 1: up in a classroom that was meant for I think 1017 00:53:19,560 --> 00:53:22,600 Speaker 1: thirty people. And give me the demographics, yees say, this 1018 00:53:22,960 --> 00:53:25,640 Speaker 1: is what's cool about it is the people that came 1019 00:53:25,680 --> 00:53:28,239 Speaker 1: were some of the people that invited the speaker. It 1020 00:53:28,280 --> 00:53:30,359 Speaker 1: was some of the people that protested the speaker. There 1021 00:53:30,440 --> 00:53:33,640 Speaker 1: was some faculty there, there's some administrators there. It was 1022 00:53:33,760 --> 00:53:37,600 Speaker 1: a real group of some of the key stakeholders in 1023 00:53:37,600 --> 00:53:41,680 Speaker 1: that environment and everybody. What can you imagine, imagine you're 1024 00:53:41,719 --> 00:53:43,600 Speaker 1: holding a town hall meeting, You're attending your local pt 1025 00:53:43,760 --> 00:53:47,160 Speaker 1: or school board meeting and something very controversial happened. What happens, 1026 00:53:47,160 --> 00:53:48,920 Speaker 1: everybody shows up with their guards up. It's like, we're 1027 00:53:48,960 --> 00:53:51,160 Speaker 1: ready to fight or I'm ready to like not say anything. 1028 00:53:51,440 --> 00:53:55,200 Speaker 1: That's exactly what happened. And this is where the group 1029 00:53:55,239 --> 00:53:57,239 Speaker 1: of us that helped organize this, who're now some of 1030 00:53:57,239 --> 00:53:59,399 Speaker 1: my best friends and still work on this organization bridge 1031 00:53:59,480 --> 00:54:02,200 Speaker 1: USA with me. What we did was we just relied 1032 00:54:02,200 --> 00:54:03,799 Speaker 1: on our instinct. It's like, Okay, imagine you have a 1033 00:54:03,880 --> 00:54:05,879 Speaker 1: room of a bunch of stodgy people that hate each 1034 00:54:05,880 --> 00:54:09,600 Speaker 1: other and probably misperceive each other's intentions. How do you 1035 00:54:09,600 --> 00:54:12,200 Speaker 1: help them break through? Well, let's start just talking about 1036 00:54:12,200 --> 00:54:13,480 Speaker 1: our vulnerabilities in story. 1037 00:54:13,520 --> 00:54:16,280 Speaker 2: Here's an idea. Let's have a conversation. 1038 00:54:16,520 --> 00:54:17,000 Speaker 1: Have a conversation. 1039 00:54:17,120 --> 00:54:22,040 Speaker 2: Let's have a civil, non threatening chat about importing stuff 1040 00:54:22,080 --> 00:54:24,600 Speaker 2: and see what we think of one Now. 1041 00:54:24,560 --> 00:54:26,560 Speaker 1: You sound like an alien? No, I sound like what 1042 00:54:26,719 --> 00:54:27,240 Speaker 1: an alien? 1043 00:54:27,560 --> 00:54:31,120 Speaker 2: Well, what I'm saying to you I have said in 1044 00:54:31,239 --> 00:54:34,560 Speaker 2: keynote speeches, I've said in stages. It's in my book. 1045 00:54:35,239 --> 00:54:39,799 Speaker 2: It's it's the fundamental tenet of my book, Against the grain. 1046 00:54:39,840 --> 00:54:44,400 Speaker 2: We got to go against the grain of societal preconceived 1047 00:54:44,440 --> 00:54:46,279 Speaker 2: notion that if you don't think like me, you must 1048 00:54:46,320 --> 00:54:48,440 Speaker 2: be my enemy. And we got to get out of 1049 00:54:48,480 --> 00:54:52,000 Speaker 2: our vacuums and our comfort zones and talk. 1050 00:54:52,640 --> 00:54:56,279 Speaker 1: So I agree with all of that. And as a 1051 00:54:56,320 --> 00:55:00,000 Speaker 1: young person, when somebody says, so, what's your innovative product, 1052 00:55:00,200 --> 00:55:04,200 Speaker 1: I'm like nothing, I like, what are we innovating? And 1053 00:55:04,239 --> 00:55:06,200 Speaker 1: so like when you say that, like I have to ask, 1054 00:55:06,440 --> 00:55:09,520 Speaker 1: like I always ask people that have much more life experiences. Mean, 1055 00:55:09,520 --> 00:55:12,400 Speaker 1: I'm like, to me, it just sounds like family dynamics. 1056 00:55:12,680 --> 00:55:14,680 Speaker 1: I'm like, let's talk to each other. To me, it 1057 00:55:14,719 --> 00:55:18,040 Speaker 1: sounds like two parents, you know, navigating a divorce. You know, 1058 00:55:18,120 --> 00:55:20,160 Speaker 1: this stuff is not complicated, And I think, like in 1059 00:55:20,200 --> 00:55:23,239 Speaker 1: this hyper technical environment, and that's what happened. Actually, I 1060 00:55:23,239 --> 00:55:27,040 Speaker 1: think our naivy tae in that moment organizing that actually 1061 00:55:27,040 --> 00:55:29,520 Speaker 1: helped us. It sounds like it, yeah, because we were naive, 1062 00:55:29,560 --> 00:55:30,759 Speaker 1: We're like, well and. 1063 00:55:30,680 --> 00:55:41,240 Speaker 2: It was it was it was legitimately a heartfelt outreach. Yes, 1064 00:55:41,320 --> 00:55:46,240 Speaker 2: And nobody convinced you yet that that was stupid. 1065 00:55:45,920 --> 00:55:48,960 Speaker 1: Yep, yep. And we had no idea the challenge we 1066 00:55:48,960 --> 00:55:51,520 Speaker 1: were embarking on. But that's the best part is when 1067 00:55:51,560 --> 00:55:53,200 Speaker 1: you start a journey I mean, when you were coaching 1068 00:55:53,200 --> 00:55:54,960 Speaker 1: that football team, I bet one of the tenants of 1069 00:55:55,000 --> 00:55:57,560 Speaker 1: it is, don't look how far away that championship is. 1070 00:55:57,840 --> 00:56:02,840 Speaker 1: Stay by day. 1071 00:56:03,320 --> 00:56:16,080 Speaker 2: We'll be right back. When you get these people together 1072 00:56:16,160 --> 00:56:19,640 Speaker 2: and they start talking about their realities, and I can 1073 00:56:19,719 --> 00:56:24,600 Speaker 2: imagine you've got a college Republican and you've got somebody 1074 00:56:24,680 --> 00:56:28,920 Speaker 2: who'd formerly been naked protesting about some animals or something 1075 00:56:28,960 --> 00:56:34,000 Speaker 2: in the same room. My belief set is, and I'm 1076 00:56:34,040 --> 00:56:38,160 Speaker 2: testing this with you, my belief set is that we 1077 00:56:38,200 --> 00:56:41,200 Speaker 2: all want safety, we all want health, we all want 1078 00:56:41,200 --> 00:56:44,000 Speaker 2: our families to do well. We all want our children 1079 00:56:44,040 --> 00:56:46,480 Speaker 2: to be better than we were now. We all may 1080 00:56:46,600 --> 00:56:50,400 Speaker 2: think there's fifteen different ways to go about that, but 1081 00:56:50,440 --> 00:56:55,400 Speaker 2: we all ultimately kind of want the same maslov hierarchy 1082 00:56:55,400 --> 00:57:01,279 Speaker 2: it needs to be filled. Does hearing that people want 1083 00:57:01,320 --> 00:57:03,760 Speaker 2: the same thing although they want to go about getting 1084 00:57:03,800 --> 00:57:06,920 Speaker 2: it differently, Does at least hearing that people want the 1085 00:57:06,960 --> 00:57:10,520 Speaker 2: same thing have any kind of calming effect on the room? 1086 00:57:11,239 --> 00:57:14,239 Speaker 1: It does, But I think what helps even more is 1087 00:57:14,280 --> 00:57:16,520 Speaker 1: to share each other's suffering. 1088 00:57:17,520 --> 00:57:18,920 Speaker 2: Learn all that's interesting. 1089 00:57:19,360 --> 00:57:25,160 Speaker 1: I actually think that the most powerful tool, the knife 1090 00:57:25,160 --> 00:57:29,720 Speaker 1: that cuts through hot butter, is vulnerability. I think when 1091 00:57:29,920 --> 00:57:33,480 Speaker 1: you and I actually can see each other's vulnerability and 1092 00:57:33,480 --> 00:57:37,240 Speaker 1: have a no bs honest understanding that this was your 1093 00:57:37,280 --> 00:57:39,480 Speaker 1: hardship and this is why you are what you are, 1094 00:57:39,600 --> 00:57:42,160 Speaker 1: and here's an example of my vulnerability. I think suddenly, 1095 00:57:42,240 --> 00:57:45,880 Speaker 1: what it does is it makes us fundamentally human. 1096 00:57:46,360 --> 00:57:49,560 Speaker 2: Which means that empathy leads to understanding exactly. 1097 00:57:49,600 --> 00:57:51,840 Speaker 1: And that's when you can start talking about common values, 1098 00:57:52,520 --> 00:57:56,280 Speaker 1: because I think it's the difference between showing and telling. 1099 00:57:56,920 --> 00:58:01,160 Speaker 1: And you know, when I talk about my childhood growing up, 1100 00:58:02,480 --> 00:58:04,920 Speaker 1: imagine if the only thing you talked and said to 1101 00:58:05,000 --> 00:58:07,000 Speaker 1: the amazing people that are listening to this right now 1102 00:58:07,080 --> 00:58:08,880 Speaker 1: is when you went to a competitive public high school 1103 00:58:08,880 --> 00:58:10,800 Speaker 1: next to Harvard Mit, then went to cal Berkeley, now 1104 00:58:10,880 --> 00:58:13,920 Speaker 1: leads a nonprofit organization, and he flew in from Chicago today. 1105 00:58:14,160 --> 00:58:20,080 Speaker 1: The thing, this guy's probably an asshole, you know. So 1106 00:58:20,160 --> 00:58:22,160 Speaker 1: what you did was You're like, all right, let's like 1107 00:58:22,200 --> 00:58:24,560 Speaker 1: actually go through your life. Let's have a conversation about 1108 00:58:24,560 --> 00:58:26,320 Speaker 1: who you are, why you do what you do. Tell 1109 00:58:26,320 --> 00:58:29,800 Speaker 1: me about your grandfather. I'm sure not all that was 1110 00:58:29,840 --> 00:58:34,200 Speaker 1: relatable to everybody, but pieces were. And I think vulnerability 1111 00:58:35,240 --> 00:58:38,280 Speaker 1: devastates and creates the pathway for love, it is so strived. 1112 00:58:38,600 --> 00:58:43,439 Speaker 2: So in this room or people vulnerable? But why why 1113 00:58:43,440 --> 00:58:45,400 Speaker 2: do people come to you know what? I think? I 1114 00:58:45,440 --> 00:58:47,920 Speaker 2: know why. I'm gonna answer my own question. No not, 1115 00:58:47,920 --> 00:58:49,680 Speaker 2: I'm gonna let you answer, but I'm gonna tell you 1116 00:58:49,720 --> 00:58:53,920 Speaker 2: what I think. I think heios maybe the shock of 1117 00:58:53,960 --> 00:58:57,680 Speaker 2: what happened on campus allowed people to maybe be vulnerable 1118 00:58:57,680 --> 00:58:58,320 Speaker 2: in that moment. 1119 00:58:59,800 --> 00:59:02,920 Speaker 1: Yeah, So that's I would say seventy five percent of it, 1120 00:59:02,960 --> 00:59:08,080 Speaker 1: which is it got so bad that people for a 1121 00:59:08,160 --> 00:59:10,800 Speaker 1: second orre like, let's just exit this game and like 1122 00:59:11,040 --> 00:59:14,720 Speaker 1: understand that real people were hurt. You know, this is 1123 00:59:14,800 --> 00:59:17,000 Speaker 1: not funny games anymore. This is real. This is what 1124 00:59:17,080 --> 00:59:20,200 Speaker 1: happens when you invite somebody protests and it all becomes 1125 00:59:20,200 --> 00:59:23,200 Speaker 1: a cocktail. So that's a piece of it, is that 1126 00:59:23,240 --> 00:59:25,680 Speaker 1: when things get so bad, I think people come back 1127 00:59:25,720 --> 00:59:28,080 Speaker 1: to it. But the other piece of this was that 1128 00:59:28,120 --> 00:59:30,800 Speaker 1: they actually did not show up ready to be vulnerable. 1129 00:59:30,880 --> 00:59:32,680 Speaker 1: As I said, most people showed up with their guards up. 1130 00:59:32,920 --> 00:59:36,120 Speaker 1: It's very natural. So that's where I think leadership comes 1131 00:59:36,160 --> 00:59:38,280 Speaker 1: into play. That's where the people that are in that 1132 00:59:38,360 --> 00:59:40,960 Speaker 1: room of the model what you're looking for. And the 1133 00:59:41,040 --> 00:59:43,360 Speaker 1: first thing that we did the twelve of us that 1134 00:59:43,360 --> 00:59:46,280 Speaker 1: were helping to organize this, where like we shared our 1135 00:59:46,360 --> 00:59:48,280 Speaker 1: story forget all this, like we talked about this is 1136 00:59:48,320 --> 00:59:49,760 Speaker 1: where I come from, this is who I am, this 1137 00:59:49,800 --> 00:59:52,120 Speaker 1: is what I believe, this is why I believe what 1138 00:59:52,160 --> 00:59:55,680 Speaker 1: I believe, and you suddenly create a norm of honesty. 1139 00:59:56,800 --> 01:00:01,479 Speaker 1: It's as simple as if everybody in this room wasn't 1140 01:00:01,480 --> 01:00:03,760 Speaker 1: wearing shoes and I walked in, I'd probably take off 1141 01:00:03,800 --> 01:00:07,000 Speaker 1: my shoes. Okay, everybody's not wearing shoes. That's the norm. 1142 01:00:07,320 --> 01:00:09,520 Speaker 1: It's a best setting a norm. You set a norm 1143 01:00:09,560 --> 01:00:11,520 Speaker 1: and then you enforce that norm, and you enforce it 1144 01:00:11,520 --> 01:00:12,800 Speaker 1: and you say, hey, look, if you don't want to 1145 01:00:12,800 --> 01:00:14,960 Speaker 1: follow this norm, I'm sorry, this isn't the space for you. 1146 01:00:15,080 --> 01:00:17,320 Speaker 1: No problem. We don't have to do that to anybody. 1147 01:00:17,600 --> 01:00:22,480 Speaker 1: Because when people started seeing each other share, then you 1148 01:00:22,600 --> 01:00:24,640 Speaker 1: kind of feel I can't be left out of this. 1149 01:00:25,040 --> 01:00:29,640 Speaker 1: It creates social pressure and it also says, well, hey, 1150 01:00:29,800 --> 01:00:32,040 Speaker 1: I want you to hear my story. I want you 1151 01:00:32,040 --> 01:00:35,440 Speaker 1: to hear my story. And that's essentially what a bridge 1152 01:00:35,480 --> 01:00:40,720 Speaker 1: discussion does is it creates a space that is safe 1153 01:00:40,720 --> 01:00:46,040 Speaker 1: for liberals and structured for conservatives. Say that again, safe 1154 01:00:46,040 --> 01:00:48,080 Speaker 1: for liberals, and structured for conservatives. 1155 01:00:48,160 --> 01:00:51,320 Speaker 2: Why do liberals need safety and conservatives need structure? 1156 01:00:52,880 --> 01:00:54,480 Speaker 1: I'm not smart enough to answer that question, but I 1157 01:00:54,520 --> 01:00:55,360 Speaker 1: know that's what they want. 1158 01:00:56,080 --> 01:00:56,400 Speaker 2: Wow. 1159 01:00:56,880 --> 01:01:01,320 Speaker 1: So that's just I gept conjectures. But you don't even 1160 01:01:01,360 --> 01:01:03,600 Speaker 1: like to create those divides. But the reason I'm saying 1161 01:01:03,720 --> 01:01:06,600 Speaker 1: very openly is because again, it's about meeting people where 1162 01:01:06,600 --> 01:01:10,880 Speaker 1: they are, right, So we've created the space. The second 1163 01:01:10,880 --> 01:01:13,680 Speaker 1: part about the space is that it's peer led. So 1164 01:01:13,760 --> 01:01:17,400 Speaker 1: there isn't some faculty facilitating this. There is some it's 1165 01:01:17,440 --> 01:01:20,240 Speaker 1: the members of your own community. Right. It's like if 1166 01:01:20,280 --> 01:01:22,560 Speaker 1: you have something that happened in your school board meeting, 1167 01:01:22,600 --> 01:01:25,240 Speaker 1: you want the teachers there and the teachers talking to teachers. Right. 1168 01:01:25,240 --> 01:01:29,120 Speaker 1: It's peer lead, no power dynamics. The third thing that's 1169 01:01:29,160 --> 01:01:31,800 Speaker 1: really powerful about this is you're setting these norms. Each 1170 01:01:31,840 --> 01:01:35,160 Speaker 1: Bridge discussion is four norms. You listen to listen, not 1171 01:01:35,320 --> 01:01:38,880 Speaker 1: to respond. You don't interrupt our outside conversations. Each of 1172 01:01:38,960 --> 01:01:42,040 Speaker 1: us represents ourselves, not larger social groups. So you don't 1173 01:01:42,040 --> 01:01:44,600 Speaker 1: represent all white Americans. I don't represent all the confused 1174 01:01:44,640 --> 01:01:45,439 Speaker 1: dacs out there. 1175 01:01:45,920 --> 01:01:48,960 Speaker 2: And and you know, do you realize there's plenty of 1176 01:01:49,000 --> 01:01:55,880 Speaker 2: confused white people, Well, please, that's for you to decay and. 1177 01:02:00,240 --> 01:02:04,720 Speaker 1: Confused America, you should change the name of that. But 1178 01:02:04,720 --> 01:02:07,640 Speaker 1: but in case anybody's wondering whether they see is a 1179 01:02:07,680 --> 01:02:11,080 Speaker 1: word for Indian people that Indians use in Hindi. And 1180 01:02:11,120 --> 01:02:14,960 Speaker 1: then the fourth norm is that you respond to the argument, 1181 01:02:15,000 --> 01:02:17,280 Speaker 1: not the person. So like let's say you said that, 1182 01:02:17,360 --> 01:02:17,960 Speaker 1: so you said. 1183 01:02:17,760 --> 01:02:21,440 Speaker 2: Something, is the definition of civility. 1184 01:02:21,800 --> 01:02:25,040 Speaker 1: Yeah, But Hare's where I'll push back really quickly is 1185 01:02:25,080 --> 01:02:27,680 Speaker 1: we never use word civiility. And the reason we don't 1186 01:02:27,720 --> 01:02:31,440 Speaker 1: use the word civility is because I think that we 1187 01:02:31,560 --> 01:02:34,040 Speaker 1: live at this moment where a lot of people are 1188 01:02:34,080 --> 01:02:37,240 Speaker 1: hurting and they want change. Left or right doesn't matter 1189 01:02:37,280 --> 01:02:39,000 Speaker 1: a lot of people. There's a reason why the conflict 1190 01:02:39,080 --> 01:02:41,600 Speaker 1: entrepreneurs can make money off of that. And so what 1191 01:02:41,680 --> 01:02:44,040 Speaker 1: we found is we initially used to call it civility 1192 01:02:44,720 --> 01:02:46,920 Speaker 1: because that's what makes sense to me as well. But 1193 01:02:46,960 --> 01:02:49,200 Speaker 1: what we found was is people started hearing the word civility, 1194 01:02:49,240 --> 01:02:52,000 Speaker 1: they thought, oh, this is some kombaya, let's hold hands. 1195 01:02:52,400 --> 01:02:55,439 Speaker 1: Civility does not invoke that feeling of healthy conflict. Because 1196 01:02:55,480 --> 01:02:58,520 Speaker 1: what we're doing these discussions is oftentimes the objective is 1197 01:02:58,560 --> 01:03:02,800 Speaker 1: not for you and I to arrive at a common understanding. 1198 01:03:03,160 --> 01:03:06,240 Speaker 1: Oftentimes it's for you and I to understand why you 1199 01:03:06,320 --> 01:03:09,000 Speaker 1: and I disagree with each other, because that gets us 1200 01:03:09,000 --> 01:03:14,120 Speaker 1: somewhere right. And importantly, we can't lose the fact that 1201 01:03:14,200 --> 01:03:16,440 Speaker 1: if we want more and more people to have these dialogues, 1202 01:03:16,480 --> 01:03:20,560 Speaker 1: these conversations, they have to feel like they're entering the space, 1203 01:03:21,120 --> 01:03:23,640 Speaker 1: not having to feel like that they're grind down their edges. 1204 01:03:24,480 --> 01:03:26,720 Speaker 1: Show up with your edges, show up with your fight. 1205 01:03:27,480 --> 01:03:30,560 Speaker 1: The problem is not whether we're fighting. The problem is 1206 01:03:30,560 --> 01:03:31,280 Speaker 1: how we're fighting. 1207 01:03:31,920 --> 01:03:36,320 Speaker 2: Of course, in other words, it's okay, I mean, it's 1208 01:03:36,360 --> 01:03:38,320 Speaker 2: not what you say, but how you say it. 1209 01:03:38,320 --> 01:03:39,680 Speaker 1: It's not what you say, it's how you say it, 1210 01:03:39,720 --> 01:03:43,320 Speaker 1: but also how you engage. So all of those four 1211 01:03:43,400 --> 01:03:46,680 Speaker 1: norms right, listen, to listen rather than to respond is 1212 01:03:46,920 --> 01:03:51,120 Speaker 1: not telling you to suddenly disband your ideas. Saying listen 1213 01:03:51,160 --> 01:03:53,960 Speaker 1: to your ideas for a second. Right, when I say 1214 01:03:54,240 --> 01:03:56,960 Speaker 1: respond to the argument, not the person, show up with 1215 01:03:57,000 --> 01:04:00,800 Speaker 1: your argument. But just because if Coach Bill says something 1216 01:04:00,840 --> 01:04:02,800 Speaker 1: that you disagree with, that does not make Coach Build 1217 01:04:02,800 --> 01:04:06,680 Speaker 1: an evil person. You might think the argument's dumb, and 1218 01:04:06,720 --> 01:04:08,720 Speaker 1: that's fine. Let's have that conversation. But right now we're 1219 01:04:08,720 --> 01:04:10,200 Speaker 1: not even having a conversation, right. 1220 01:04:10,800 --> 01:04:17,560 Speaker 2: I love this. You are putting into practice stuff that 1221 01:04:17,640 --> 01:04:22,600 Speaker 2: I've talked about for years. I mean, I absolutely love this. 1222 01:04:22,760 --> 01:04:25,960 Speaker 2: So we got we gotta tie it together. Though. Sure 1223 01:04:27,200 --> 01:04:32,360 Speaker 2: you have this first meeting. What happens after that, we. 1224 01:04:32,280 --> 01:04:36,960 Speaker 1: Have a second meeting where five people show up. Nobody 1225 01:04:37,000 --> 01:04:39,600 Speaker 1: showed up. I'm honest, So nobody showed up. And this 1226 01:04:39,720 --> 01:04:43,080 Speaker 1: is part of again, normal people doing stuff like you know, 1227 01:04:43,160 --> 01:04:45,360 Speaker 1: this is when you're building something. It's really hard to 1228 01:04:45,360 --> 01:04:48,280 Speaker 1: build anything or do anything. Nobody showed up. And the 1229 01:04:48,280 --> 01:04:49,760 Speaker 1: reason why nobody showed up is because a lot of 1230 01:04:49,840 --> 01:04:52,880 Speaker 1: rumors started flying about what happened in this space, and 1231 01:04:53,000 --> 01:04:56,080 Speaker 1: a lot of people people didn't want to believe what happened, 1232 01:04:56,320 --> 01:05:00,000 Speaker 1: and also probably couldn't couldn't believe what happens, especially at 1233 01:05:00,440 --> 01:05:05,040 Speaker 1: at Berkeley at Berkeley. And then what we did was 1234 01:05:06,040 --> 01:05:10,520 Speaker 1: we said, well, let's actually intentionally pursue this because I 1235 01:05:11,200 --> 01:05:14,440 Speaker 1: don't know what it is. But I love. What I 1236 01:05:14,440 --> 01:05:17,760 Speaker 1: love about my work the most is I love the 1237 01:05:17,880 --> 01:05:22,960 Speaker 1: idea of somebody walking into a room, sitting down, and 1238 01:05:23,080 --> 01:05:28,960 Speaker 1: leaving ten twenty thirty minutes later, completely changed about their 1239 01:05:28,960 --> 01:05:31,080 Speaker 1: expectations of somebody that's different than them. It is like 1240 01:05:31,120 --> 01:05:32,400 Speaker 1: one of the coolest experiences. 1241 01:05:32,400 --> 01:05:33,959 Speaker 2: That is one of the coolest things. 1242 01:05:34,000 --> 01:05:38,000 Speaker 1: It's transformative, and it doesn't happen everything sometimes at backfires. No, 1243 01:05:38,040 --> 01:05:40,320 Speaker 1: it died, but that's the arduous process of building. And 1244 01:05:40,320 --> 01:05:42,080 Speaker 1: so what we did was we held the next discussion. 1245 01:05:42,080 --> 01:05:44,920 Speaker 1: Five people showed up. Were like, damn, we didn't market that. 1246 01:05:44,960 --> 01:05:46,520 Speaker 1: We didn't do anything. We just assume people are going 1247 01:05:46,560 --> 01:05:48,000 Speaker 1: to show up again. Now it's like two weeks out 1248 01:05:48,000 --> 01:05:50,320 Speaker 1: of this event, right, and so classic marketing, you gotta 1249 01:05:50,600 --> 01:05:52,440 Speaker 1: step in, you gotta start building. And so we were like, hey, 1250 01:05:52,520 --> 01:05:55,120 Speaker 1: let's actually build an infrastructure here. So we got a 1251 01:05:55,160 --> 01:05:57,360 Speaker 1: team those twelve people, we all took our roles. We 1252 01:05:57,360 --> 01:05:59,640 Speaker 1: started doing our thing. Each of us was doing something. 1253 01:06:00,280 --> 01:06:03,680 Speaker 1: And then what happened was we had one faculty member 1254 01:06:03,720 --> 01:06:07,360 Speaker 1: sitting in that discussion named Bill Shireman same for her 1255 01:06:07,400 --> 01:06:10,040 Speaker 1: name as you. And Bill Shyrman, who's now the chair 1256 01:06:10,040 --> 01:06:11,960 Speaker 1: of our board, was sitting in the back of the 1257 01:06:11,960 --> 01:06:15,080 Speaker 1: classroom and he knew these two people at Notre Dame 1258 01:06:15,120 --> 01:06:17,360 Speaker 1: and at Colorado Boulder Notre Dame. This guy named Roj 1259 01:06:17,560 --> 01:06:22,560 Speaker 1: Karma and Colorado Boulder, this woman named Courtland Carpenter, and 1260 01:06:22,680 --> 01:06:25,720 Speaker 1: believe it or not, they had built something called Bridge 1261 01:06:25,840 --> 01:06:29,800 Speaker 1: CU and Bridge n D because the idea of bridging 1262 01:06:29,800 --> 01:06:33,800 Speaker 1: seems like a very normal metaphor. And they connected and 1263 01:06:33,800 --> 01:06:35,600 Speaker 1: they started creating this thing. They were like, what if 1264 01:06:35,600 --> 01:06:38,640 Speaker 1: we built this on different campuses. And Bill came up 1265 01:06:38,680 --> 01:06:42,560 Speaker 1: to us and said, well, let's make this full on 1266 01:06:42,640 --> 01:06:45,880 Speaker 1: Bridge Berkeley and let's combine everything. And so we're like okay, 1267 01:06:46,480 --> 01:06:48,479 Speaker 1: And so we started doing this stuff. But we weren't 1268 01:06:48,480 --> 01:06:50,960 Speaker 1: thinking about a national organization, no vision, nothing, But we 1269 01:06:51,000 --> 01:06:53,160 Speaker 1: just kept holding those discussions. People started showing up. It 1270 01:06:53,160 --> 01:06:54,200 Speaker 1: became a name on CAM. 1271 01:06:54,240 --> 01:06:56,280 Speaker 2: And the people that are showing up Yes, there's some 1272 01:06:56,400 --> 01:06:57,919 Speaker 2: faculty and all that there, but. 1273 01:06:58,280 --> 01:07:01,480 Speaker 1: We're talking about college case college kids. And here's the 1274 01:07:01,520 --> 01:07:03,960 Speaker 1: other thing. Just to quickly fast forward, just so people understand. 1275 01:07:04,040 --> 01:07:06,560 Speaker 1: Now they're thinking, well, this must be probably for just 1276 01:07:06,600 --> 01:07:09,520 Speaker 1: elite college kids at Berkeley and Harvard and Stanford. No, 1277 01:07:10,680 --> 01:07:13,320 Speaker 1: we have yet to have a single IVY League school chapter. 1278 01:07:13,680 --> 01:07:17,480 Speaker 1: We now have high school chapters. We have sixty college chapters, 1279 01:07:17,480 --> 01:07:20,680 Speaker 1: twenty high school chapters. We're growing almost five six chapters 1280 01:07:20,720 --> 01:07:22,880 Speaker 1: a month right now on the goal is to scale 1281 01:07:22,920 --> 01:07:25,000 Speaker 1: that up because the demand is really high. But the 1282 01:07:25,040 --> 01:07:26,720 Speaker 1: other thing I'll say is on the college side, the 1283 01:07:26,760 --> 01:07:29,800 Speaker 1: goal is, let's go to our community colleges, Let's go 1284 01:07:29,840 --> 01:07:32,240 Speaker 1: to our vocational schools. One of our best chapters, one 1285 01:07:32,240 --> 01:07:34,320 Speaker 1: of the top the first seven chapters, is a college 1286 01:07:34,360 --> 01:07:38,320 Speaker 1: nam Lynn Benton Community College up in northern Oregon the 1287 01:07:38,360 --> 01:07:42,040 Speaker 1: border of Lynn County in Benton County. And the point 1288 01:07:42,040 --> 01:07:43,680 Speaker 1: of all of that is for me to say that 1289 01:07:43,720 --> 01:07:47,560 Speaker 1: this work is highly not only accessible, but normal people 1290 01:07:47,600 --> 01:07:51,640 Speaker 1: are doing it, not just elite college kids. And that's powerful, 1291 01:07:51,920 --> 01:07:53,720 Speaker 1: because that's powerful. 1292 01:07:54,000 --> 01:08:01,240 Speaker 2: But doing it is getting a grouped together of people 1293 01:08:01,240 --> 01:08:06,680 Speaker 2: from all different walks of life, religious, political, social, and 1294 01:08:06,720 --> 01:08:09,960 Speaker 2: cultural belief sets and talking. 1295 01:08:10,080 --> 01:08:13,880 Speaker 1: It's just doing the American experiment. That's it. There's literally again, 1296 01:08:13,920 --> 01:08:16,760 Speaker 1: there's nothing profound about what I'm doing. I am so 1297 01:08:16,920 --> 01:08:20,160 Speaker 1: looking forward to the day when somebody's like, you know what, 1298 01:08:20,520 --> 01:08:22,559 Speaker 1: I'm going to steal this IP, because the moment they 1299 01:08:22,560 --> 01:08:24,439 Speaker 1: steal that IP, the country's can be back on track. 1300 01:08:25,040 --> 01:08:27,479 Speaker 1: Because our IP is just human nature. It's like, let's 1301 01:08:27,479 --> 01:08:29,240 Speaker 1: have a conversation, talk to each other. And then I 1302 01:08:29,280 --> 01:08:31,040 Speaker 1: look forward to the day of like retreating to the 1303 01:08:31,040 --> 01:08:31,679 Speaker 1: medical books. 1304 01:08:31,680 --> 01:08:33,960 Speaker 2: Give me one of your greatest stories of a meeting 1305 01:08:34,080 --> 01:08:39,320 Speaker 2: that you've experienced and watched two people from alternate realities, 1306 01:08:40,280 --> 01:08:41,320 Speaker 2: fine commonness. 1307 01:08:41,360 --> 01:08:43,120 Speaker 1: So I'm going to give you another Berkeley story because 1308 01:08:43,120 --> 01:08:44,679 Speaker 1: it connects actually a couple of things to talk about. 1309 01:08:44,680 --> 01:08:47,360 Speaker 1: Connects to the student homelessness question, it connects protesters, and 1310 01:08:47,400 --> 01:08:50,000 Speaker 1: it connects the power of a group discussion. 1311 01:08:50,040 --> 01:08:50,800 Speaker 2: Was anybody naked? 1312 01:08:51,520 --> 01:08:57,000 Speaker 1: Nobody was naked? Nobody nobody was though the well, I'll 1313 01:08:57,000 --> 01:08:59,479 Speaker 1: tell you a context. So a couple of quick context facts. 1314 01:09:00,000 --> 01:09:03,080 Speaker 1: Berkeley is this place called People's Park. Now, People's Park 1315 01:09:03,360 --> 01:09:06,760 Speaker 1: has a lot of interesting people in it, to say 1316 01:09:06,760 --> 01:09:09,479 Speaker 1: the least, and it was basically a place created in 1317 01:09:09,560 --> 01:09:13,320 Speaker 1: about the fifties sixties that now has become this massive 1318 01:09:13,360 --> 01:09:18,599 Speaker 1: ground for you know, everybody from like drug addicts to hippies, 1319 01:09:18,680 --> 01:09:20,800 Speaker 1: to people that want to live in Berkeley to homeless people. 1320 01:09:20,800 --> 01:09:23,519 Speaker 1: It's just a thing now. As I said, Berkeley is 1321 01:09:23,560 --> 01:09:27,000 Speaker 1: also a massive college and there's a homelessness problem with 1322 01:09:27,080 --> 01:09:30,719 Speaker 1: students because there's not enough space for university to build housing. 1323 01:09:31,920 --> 01:09:35,160 Speaker 1: And so twenty nineteen, which was our junior year, so 1324 01:09:35,280 --> 01:09:39,040 Speaker 1: this is a fall of twenty nineteen. I might be 1325 01:09:39,080 --> 01:09:40,760 Speaker 1: wrong on the month, but fall of twenty nineteen, I'm 1326 01:09:40,760 --> 01:09:44,439 Speaker 1: pretty sure this crisis speaking, the university proposes let's build 1327 01:09:44,479 --> 01:09:47,920 Speaker 1: a building on People's Park, and man, it started a 1328 01:09:47,920 --> 01:09:50,920 Speaker 1: whole nother shin dig right. They're like People's Park, this 1329 01:09:51,000 --> 01:09:53,960 Speaker 1: is the people's place it's been around. And oddly enough, 1330 01:09:54,000 --> 01:09:58,479 Speaker 1: in this case, the students are actually protesting the very core, 1331 01:09:58,720 --> 01:10:00,960 Speaker 1: you know, interesting People's Park because they're like, Yo, we 1332 01:10:00,960 --> 01:10:01,479 Speaker 1: need housing. 1333 01:10:01,840 --> 01:10:06,200 Speaker 2: Yeah we need housing, but not here and so and so. 1334 01:10:06,280 --> 01:10:08,320 Speaker 1: But a lot of kids also wanted that housing because 1335 01:10:08,360 --> 01:10:10,000 Speaker 1: they were like, we just we need a place to live. 1336 01:10:10,040 --> 01:10:12,200 Speaker 1: And Berkeley rent. Just to give you context, by the way, 1337 01:10:12,760 --> 01:10:14,840 Speaker 1: I lived in one of the cheapest and most crime 1338 01:10:14,880 --> 01:10:17,519 Speaker 1: written parts of the city where like the next year, 1339 01:10:17,600 --> 01:10:19,920 Speaker 1: tragically a student loss his life, like down the street 1340 01:10:20,320 --> 01:10:23,479 Speaker 1: eight hundred dollars a month rent, Wow, eight fifty that's 1341 01:10:23,479 --> 01:10:26,200 Speaker 1: the cheapest. So it's just giving context for how crazy 1342 01:10:26,200 --> 01:10:29,240 Speaker 1: the housing is there for student for student, and there's 1343 01:10:29,240 --> 01:10:32,200 Speaker 1: no dorms beyond freshman year, so you got to live 1344 01:10:32,280 --> 01:10:34,919 Speaker 1: in that rent or you're you got to figure something out. 1345 01:10:35,200 --> 01:10:37,160 Speaker 1: Point of all this is, we said, hey, let's let's 1346 01:10:37,160 --> 01:10:39,920 Speaker 1: host a discussion. Now there's a wonderful part in organization 1347 01:10:40,000 --> 01:10:42,640 Speaker 1: that your your audience might be interested knowing because you're like, hey, 1348 01:10:42,640 --> 01:10:44,400 Speaker 1: we're adults. We don't we're not on college camps. What 1349 01:10:44,479 --> 01:10:46,320 Speaker 1: do we do. It's a great part an organization called 1350 01:10:46,320 --> 01:10:50,240 Speaker 1: Braver Angels that has these associations across the country, and 1351 01:10:50,280 --> 01:10:52,400 Speaker 1: so we called them up because we're like, this could 1352 01:10:52,400 --> 01:10:54,120 Speaker 1: be a really big discussion, and so they have this 1353 01:10:54,160 --> 01:10:57,400 Speaker 1: thing called the Brave Angels Debate, where it's very similar 1354 01:10:57,400 --> 01:11:00,400 Speaker 1: to Bridge discussion with some sort of caveat. So putting 1355 01:11:00,400 --> 01:11:02,880 Speaker 1: that aside for a second, we're like, let's hold a discussion, 1356 01:11:03,080 --> 01:11:05,840 Speaker 1: and let's hold this debate. Let's bring everybody in. So 1357 01:11:05,880 --> 01:11:09,400 Speaker 1: we invite the homeless students, they show up. We invite 1358 01:11:09,640 --> 01:11:14,960 Speaker 1: the protesters in People's Park. We extended an invitation of 1359 01:11:15,000 --> 01:11:17,479 Speaker 1: the administration, but I don't think they showed up. We 1360 01:11:17,520 --> 01:11:20,519 Speaker 1: invited some Berkeley city officials and we had a room 1361 01:11:20,520 --> 01:11:22,760 Speaker 1: of I would say seventy five eighty people that were 1362 01:11:22,800 --> 01:11:25,559 Speaker 1: all sort of key people that were affected, so not 1363 01:11:25,600 --> 01:11:27,759 Speaker 1: like randoms that have no personal stake in the issue, 1364 01:11:27,800 --> 01:11:30,760 Speaker 1: like actual people out of opinions. And it started off 1365 01:11:30,840 --> 01:11:32,639 Speaker 1: just like the Milo thing. And this is a common 1366 01:11:32,720 --> 01:11:36,200 Speaker 1: pattern when you put humans together in a room that 1367 01:11:36,400 --> 01:11:39,080 Speaker 1: fundamentally mistrust each other and have the guards up. How 1368 01:11:39,120 --> 01:11:41,480 Speaker 1: are they going to show up not ready to communicate 1369 01:11:42,160 --> 01:11:44,439 Speaker 1: by the end. So this initial person was like, I'm 1370 01:11:44,439 --> 01:11:47,360 Speaker 1: going to protest this. He showed up, sat down, and 1371 01:11:47,360 --> 01:11:49,040 Speaker 1: then stood up and said I'm going to protest this. 1372 01:11:49,120 --> 01:11:50,760 Speaker 1: I was like, ed, give it a moment, just give 1373 01:11:50,800 --> 01:11:52,439 Speaker 1: it a chance. He's like, no, no, no, I'm going to 1374 01:11:52,439 --> 01:11:54,760 Speaker 1: protest this right now. You know what's hilarious is by 1375 01:11:54,800 --> 01:11:58,640 Speaker 1: the end of this conversation, Coach Bill, that guy was 1376 01:11:58,680 --> 01:12:01,439 Speaker 1: participating the most in conversation. He was one of the 1377 01:12:01,479 --> 01:12:04,040 Speaker 1: homeless people that came and he brought his posse of 1378 01:12:04,120 --> 01:12:07,360 Speaker 1: people and they were jumping in. You got homeless students, 1379 01:12:07,360 --> 01:12:10,479 Speaker 1: you got cow students, yet homeless people, you got end 1380 01:12:10,680 --> 01:12:14,759 Speaker 1: by the end of it, we actually broke some common ground. 1381 01:12:15,080 --> 01:12:17,759 Speaker 1: And what came out of that discussion was a real 1382 01:12:17,840 --> 01:12:21,880 Speaker 1: proposal around what could be done. And I don't remember 1383 01:12:21,920 --> 01:12:25,320 Speaker 1: the specifics, but the process of it was like I 1384 01:12:25,400 --> 01:12:29,240 Speaker 1: was like, this is again, time and time again. We 1385 01:12:29,840 --> 01:12:34,400 Speaker 1: underestimate how common we are, and we overestimate how different 1386 01:12:34,400 --> 01:12:37,880 Speaker 1: we are, and we've completely given up on the process 1387 01:12:38,240 --> 01:12:41,519 Speaker 1: of this to the conversation. And so now we'll tell 1388 01:12:41,560 --> 01:12:43,519 Speaker 1: you what my challenge is. My challenge is what we 1389 01:12:43,600 --> 01:12:46,280 Speaker 1: experienced after that mile event where only five people showed up, 1390 01:12:46,680 --> 01:12:50,600 Speaker 1: which is, you work in the lumber business. If a 1391 01:12:50,640 --> 01:12:52,559 Speaker 1: tree falls down in force, nobody saw that tree fell, 1392 01:12:52,600 --> 01:12:56,160 Speaker 1: it never fell. Nobody sees his work happening, and they 1393 01:12:56,160 --> 01:12:58,160 Speaker 1: only see the crazy people in the news. They're never 1394 01:12:58,200 --> 01:13:00,360 Speaker 1: going to believe it. And so we have to do 1395 01:13:00,479 --> 01:13:02,800 Speaker 1: and what you're doing with this podcast is build a 1396 01:13:02,840 --> 01:13:06,920 Speaker 1: cultural movement and a change where you're empowering everyday people 1397 01:13:07,439 --> 01:13:10,480 Speaker 1: to say that that's not okay and this is possible. 1398 01:13:10,960 --> 01:13:13,960 Speaker 1: So sorry, that was another tiree, But like that was 1399 01:13:14,040 --> 01:13:16,439 Speaker 1: one more example that often sticks in my mind that 1400 01:13:16,479 --> 01:13:17,960 Speaker 1: I think brings up a lot of different parts of 1401 01:13:18,000 --> 01:13:21,360 Speaker 1: the story. 1402 01:13:21,439 --> 01:13:24,679 Speaker 2: And from all of this is born Bridge USA. 1403 01:13:24,800 --> 01:13:28,600 Speaker 1: Bridge USA. 1404 01:13:29,280 --> 01:13:46,760 Speaker 2: We'll be right back tell us what Bridge USA is today. 1405 01:13:46,840 --> 01:13:50,840 Speaker 1: So Bridge USA is an amazing group of young people. 1406 01:13:50,840 --> 01:13:52,639 Speaker 1: Our entire team is under the age of twenty six, 1407 01:13:53,680 --> 01:13:57,920 Speaker 1: recent college grads. I graduated in twenty twenty and each 1408 01:13:57,920 --> 01:13:59,439 Speaker 1: of us had many different things that we could have 1409 01:13:59,439 --> 01:14:02,640 Speaker 1: done with our line. And I had some good mentors 1410 01:14:02,680 --> 01:14:04,599 Speaker 1: and people that were like, you know, take the risk, 1411 01:14:04,680 --> 01:14:06,479 Speaker 1: and I love this work, and so we jump right 1412 01:14:06,520 --> 01:14:09,360 Speaker 1: into it twenty twenty one full time from Berkeley, and 1413 01:14:09,680 --> 01:14:12,439 Speaker 1: since then we're now a team of about fifteen people. 1414 01:14:12,720 --> 01:14:15,800 Speaker 1: We have about sixty college twenty high school chapters. Last 1415 01:14:15,840 --> 01:14:19,120 Speaker 1: semester we engage about three thousand, five hundred students across 1416 01:14:19,200 --> 01:14:22,360 Speaker 1: our semesters and campuses. And I think that's nothing. It's 1417 01:14:22,360 --> 01:14:25,679 Speaker 1: a great data point. But our goal is to reach 1418 01:14:25,720 --> 01:14:27,600 Speaker 1: two hundred and fifty chapters. 1419 01:14:27,640 --> 01:14:30,919 Speaker 2: And the which would be then ten thousand students. 1420 01:14:31,040 --> 01:14:35,479 Speaker 1: It would be it would be around twelve thousand students 1421 01:14:35,520 --> 01:14:35,920 Speaker 1: a semester. 1422 01:14:36,040 --> 01:14:40,759 Speaker 2: Wow, And all with the goal all of getting young 1423 01:14:40,880 --> 01:14:47,600 Speaker 2: people who have been infiltrated with social media and parents 1424 01:14:47,640 --> 01:14:51,920 Speaker 2: and whatever goes on in the schools and professors and 1425 01:14:52,040 --> 01:14:57,120 Speaker 2: teachers and the national media and all of which have 1426 01:14:57,360 --> 01:15:01,920 Speaker 2: shaped these very impressible minds to come together and talk 1427 01:15:02,920 --> 01:15:03,439 Speaker 2: and talk. 1428 01:15:03,680 --> 01:15:06,519 Speaker 1: But I'll say two other quick things. One is it's 1429 01:15:06,560 --> 01:15:10,439 Speaker 1: not just young people talking. This is about creating norms 1430 01:15:10,520 --> 01:15:12,920 Speaker 1: change in this country. What I mean by norms change 1431 01:15:13,520 --> 01:15:17,439 Speaker 1: is this is about what I call the hopeful majority, 1432 01:15:17,439 --> 01:15:22,400 Speaker 1: which you call the army of normal people to essentially 1433 01:15:22,640 --> 01:15:29,240 Speaker 1: be heard. That's it. It's what Ronald Reagan did, so 1434 01:15:29,360 --> 01:15:31,679 Speaker 1: Newke Gingersh did with the moral majority. It's what Nixon 1435 01:15:31,720 --> 01:15:34,040 Speaker 1: did with the solent majority. It's what Barack Obama did 1436 01:15:34,040 --> 01:15:37,240 Speaker 1: with change Yes we can, It's what Trump did with 1437 01:15:37,280 --> 01:15:41,160 Speaker 1: the populist right. Is our fundamental task, and I think 1438 01:15:41,280 --> 01:15:46,599 Speaker 1: challenge is to give power and voice to the sense 1439 01:15:46,640 --> 01:15:51,040 Speaker 1: of fear, the eggshells that everybody's walking on, the desire 1440 01:15:51,120 --> 01:15:53,800 Speaker 1: to have human connection and yet that does not exist. 1441 01:15:54,360 --> 01:15:56,160 Speaker 1: That's our objective and the reason why I think young 1442 01:15:56,200 --> 01:15:59,639 Speaker 1: people are so crucial to the effort is take any 1443 01:15:59,640 --> 01:16:04,400 Speaker 1: social movement. I'll give you three. Civil Rights movement. One 1444 01:16:04,439 --> 01:16:06,439 Speaker 1: of the key things that kicked it off were four 1445 01:16:06,479 --> 01:16:10,160 Speaker 1: students that walked into their local F. W. Woolworth outside 1446 01:16:10,160 --> 01:16:12,000 Speaker 1: of North Carolina and set it in the lunch counters. 1447 01:16:12,520 --> 01:16:15,519 Speaker 1: It was like a Mendela the nineties South Africa. It 1448 01:16:15,560 --> 01:16:17,760 Speaker 1: was a contingent of young people that allowed him to 1449 01:16:17,800 --> 01:16:21,599 Speaker 1: achieve tremendous cultural power. The fact is that I think 1450 01:16:21,640 --> 01:16:23,320 Speaker 1: young people have a lot of cultural power, and I 1451 01:16:23,320 --> 01:16:25,800 Speaker 1: think old people have a lot of material power. And 1452 01:16:25,840 --> 01:16:29,280 Speaker 1: if you combine the cultural narrative power and a material 1453 01:16:29,320 --> 01:16:34,280 Speaker 1: power into one. It's really powerful. The only other thing 1454 01:16:34,320 --> 01:16:37,559 Speaker 1: I'll say with respect to our broader objective, and this 1455 01:16:37,600 --> 01:16:39,840 Speaker 1: is where I'll defend my generation a little bit. And 1456 01:16:39,880 --> 01:16:42,799 Speaker 1: then every generation's got their tests. Just for some contexts, 1457 01:16:42,840 --> 01:16:45,600 Speaker 1: I was born in ninety eight, and people will often say, like, 1458 01:16:46,520 --> 01:16:49,400 Speaker 1: why does a lot of gen Z either seem highly 1459 01:16:49,400 --> 01:16:52,240 Speaker 1: skeptical of politics or does not care or is so 1460 01:16:52,320 --> 01:16:54,720 Speaker 1: buried in their phone, or does not believe in the 1461 01:16:54,760 --> 01:16:56,920 Speaker 1: possibility of democracy. In fact, there's a poll created by 1462 01:16:56,920 --> 01:16:59,200 Speaker 1: the Harvard instut of Politics two years ago that said, 1463 01:16:59,439 --> 01:17:01,720 Speaker 1: I think it was like forty seven percent of young 1464 01:17:01,760 --> 01:17:04,480 Speaker 1: people are like fifty one or something. It was pretty sicizable. 1465 01:17:04,479 --> 01:17:06,160 Speaker 1: It was like, they don't believe in the power of 1466 01:17:06,160 --> 01:17:09,599 Speaker 1: democracy as a system for creaty change that was born 1467 01:17:09,560 --> 01:17:10,639 Speaker 1: in ninety eight, which. 1468 01:17:10,439 --> 01:17:14,520 Speaker 2: By the way, I've read and I god do that 1469 01:17:14,520 --> 01:17:16,360 Speaker 2: that is heartbreaking to me. 1470 01:17:16,880 --> 01:17:20,400 Speaker 1: So again this is a simple marketing challenge. It's like, 1471 01:17:20,640 --> 01:17:22,760 Speaker 1: all right, that's the problem set Why so we can 1472 01:17:22,800 --> 01:17:25,559 Speaker 1: meet them where they are. You take somebody my age 1473 01:17:26,439 --> 01:17:30,000 Speaker 1: born in December of ninety eight. I'm twenty four. It's 1474 01:17:30,760 --> 01:17:36,960 Speaker 1: twenty twenty three right now. I was I think two 1475 01:17:37,080 --> 01:17:40,360 Speaker 1: years old when nine to eleven happened. I was going 1476 01:17:40,400 --> 01:17:43,400 Speaker 1: to middle school when the Great Recession happened. I was 1477 01:17:43,439 --> 01:17:46,599 Speaker 1: graduated in high school when the twenty sixteen presidential election happened. 1478 01:17:47,160 --> 01:17:49,840 Speaker 1: I graduated college in twenty twenty when the pandemic hit 1479 01:17:50,240 --> 01:17:54,040 Speaker 1: the capitol riots happened, and you had the Trump byden election. 1480 01:17:55,040 --> 01:17:57,839 Speaker 1: And now it's twenty twenty three. Not a great sample 1481 01:17:57,880 --> 01:18:00,759 Speaker 1: size of democratic progress and growth. 1482 01:18:01,880 --> 01:18:05,479 Speaker 2: Like that's the lett That's a really fair comment. 1483 01:18:05,800 --> 01:18:07,880 Speaker 1: So I say that now many people, So I talk 1484 01:18:07,920 --> 01:18:09,439 Speaker 1: to a lot of people in the sixties that were 1485 01:18:09,439 --> 01:18:12,000 Speaker 1: in Berkeley at that time, which was also very tumultuous time. 1486 01:18:12,600 --> 01:18:14,639 Speaker 1: That was probably the most comparable decade in some ways 1487 01:18:14,640 --> 01:18:17,920 Speaker 1: to what we're going through right now. And when you 1488 01:18:17,960 --> 01:18:20,240 Speaker 1: look at it from that lens, I don't think it's 1489 01:18:20,240 --> 01:18:24,479 Speaker 1: necessarily meant to excuse the skepticism and the critique, but 1490 01:18:24,560 --> 01:18:28,479 Speaker 1: I think it's meant to demonstrate that if all you 1491 01:18:28,600 --> 01:18:33,240 Speaker 1: know is a house on fire, then there's basically two options. 1492 01:18:33,280 --> 01:18:35,280 Speaker 1: One you either try to will up and put out 1493 01:18:35,280 --> 01:18:37,439 Speaker 1: the fire, which is what myself and my fellow young 1494 01:18:37,479 --> 01:18:42,240 Speaker 1: leaders doing, or you escape the house, which is frankly 1495 01:18:42,280 --> 01:18:46,800 Speaker 1: a very understandable notion, and so how do we challenge it. 1496 01:18:46,840 --> 01:18:47,559 Speaker 1: That's our objective. 1497 01:18:48,920 --> 01:18:53,000 Speaker 2: I think that's I think it's really well stated. A 1498 01:18:53,000 --> 01:18:55,280 Speaker 2: lot of wisdom from a twenty four year old kid 1499 01:18:55,360 --> 01:18:59,040 Speaker 2: who you know from India. 1500 01:19:00,040 --> 01:19:06,519 Speaker 1: Hey, we're not that bad, you know, Hey India, there's 1501 01:19:06,560 --> 01:19:09,760 Speaker 1: a hot take. And so India's world's largest democracy. It's 1502 01:19:09,800 --> 01:19:11,439 Speaker 1: also it's got a lot of corruptions. 1503 01:19:11,800 --> 01:19:14,000 Speaker 2: It's the world's largest country. I think just this year 1504 01:19:14,040 --> 01:19:17,280 Speaker 2: it took over China and population right, yeah, yeah, so 1505 01:19:17,680 --> 01:19:20,439 Speaker 2: a democracy makes it. It's the world's largest anything. 1506 01:19:20,760 --> 01:19:22,760 Speaker 1: Yes, that it is. But part of the reason why 1507 01:19:22,880 --> 01:19:25,120 Speaker 1: again I became very invested in Bridge is because we 1508 01:19:25,160 --> 01:19:28,080 Speaker 1: saw how dysfunctional the democracies too. But the other thing 1509 01:19:28,080 --> 01:19:31,720 Speaker 1: about India is I think this is something that I've 1510 01:19:31,760 --> 01:19:33,320 Speaker 1: been seeing over the past couple of years because when 1511 01:19:33,360 --> 01:19:35,760 Speaker 1: I started twenty seventeen, when we started doing this, my 1512 01:19:35,800 --> 01:19:40,360 Speaker 1: mom would be like, She'd be like, not, there's there's 1513 01:19:40,360 --> 01:19:43,280 Speaker 1: no Indian people out in politics. And weirdly, I don't 1514 01:19:43,280 --> 01:19:45,240 Speaker 1: know if you've been seeing this, but there's a lot 1515 01:19:45,439 --> 01:19:52,519 Speaker 1: oddly's leave well Hale, Nikki Haley, Kamala Harris Ramaswami. We 1516 01:19:52,560 --> 01:19:55,360 Speaker 1: had on the podcast, Bobby Jindle, you speak the guy 1517 01:19:55,400 --> 01:19:59,640 Speaker 1: in the Louisiana Bobby, You've got the vake Morphew's. 1518 01:19:59,280 --> 01:20:00,759 Speaker 2: Nobody sleep at on these Indians. 1519 01:20:00,840 --> 01:20:03,680 Speaker 1: I know, Hey, hey, this is a hotter draft pick 1520 01:20:03,760 --> 01:20:04,919 Speaker 1: than the Memphis Grists. 1521 01:20:07,040 --> 01:20:13,879 Speaker 2: So here's the deal, dude, I mean, grow up born American, 1522 01:20:13,960 --> 01:20:16,360 Speaker 2: grow up half Indian, half American. 1523 01:20:16,560 --> 01:20:18,320 Speaker 1: Be The. 1524 01:20:20,160 --> 01:20:23,280 Speaker 2: Revelation about your grandfather's impact on you, I think is 1525 01:20:23,640 --> 01:20:28,640 Speaker 2: significant because you talk about a normal guy that your granddad, 1526 01:20:29,040 --> 01:20:33,479 Speaker 2: and to have him be such a significant imprint on you, 1527 01:20:33,600 --> 01:20:37,280 Speaker 2: I think is telling. And to go to Berkeley and 1528 01:20:37,400 --> 01:20:41,640 Speaker 2: having grown up apartments in your immigrant family chasing the 1529 01:20:41,680 --> 01:20:46,160 Speaker 2: American dream, and here you are, at twenty four, having 1530 01:20:46,320 --> 01:20:51,960 Speaker 2: lived that reality and then gone through probably the biggest 1531 01:20:52,120 --> 01:20:56,280 Speaker 2: protest thing to happen at Berkeley in forty years, and 1532 01:20:56,400 --> 01:21:02,760 Speaker 2: to now be heading up and organizations specifically meant to 1533 01:21:03,000 --> 01:21:08,919 Speaker 2: fix our American democracy. I think it's a beautiful, ironic 1534 01:21:09,040 --> 01:21:14,280 Speaker 2: tale and speaks to the power of an army of 1535 01:21:14,360 --> 01:21:18,240 Speaker 2: normal people and what it can do if someone wants 1536 01:21:18,280 --> 01:21:20,400 Speaker 2: to get involved or hear more about it, how they 1537 01:21:20,400 --> 01:21:21,000 Speaker 2: contact you. 1538 01:21:21,479 --> 01:21:24,880 Speaker 1: I appreciate that you think this is going to be 1539 01:21:24,920 --> 01:21:27,000 Speaker 1: a cop out but if you go to contact at 1540 01:21:27,040 --> 01:21:31,400 Speaker 1: BRIDGEUICAD dot org, that email goes straight to my inbox perfect. 1541 01:21:31,520 --> 01:21:35,840 Speaker 1: And when I'm late, it's like eleven pm in some 1542 01:21:35,960 --> 01:21:38,760 Speaker 1: hotel room far away in like Kansas or something, and 1543 01:21:38,800 --> 01:21:40,800 Speaker 1: I'm sitting there and I'm lonely. That's what I do. 1544 01:21:40,920 --> 01:21:41,800 Speaker 1: I read that in box. 1545 01:21:41,920 --> 01:21:46,280 Speaker 2: That's good and really contacts easier than MANU. 1546 01:21:46,560 --> 01:21:52,040 Speaker 1: So exactly, just just call me contact. I'll say one 1547 01:21:52,120 --> 01:21:54,320 Speaker 1: last very quick thing, which is as you were telling me, 1548 01:21:54,880 --> 01:21:57,120 Speaker 1: like you're repeating the twenty four year old thing and 1549 01:21:57,240 --> 01:21:59,280 Speaker 1: us doing all the stuff and all that. The reason 1550 01:21:59,320 --> 01:22:01,400 Speaker 1: why it gives me bumps is like and I don't 1551 01:22:01,400 --> 01:22:03,759 Speaker 1: know where this comes from for me, Like I genuinely 1552 01:22:03,800 --> 01:22:07,880 Speaker 1: have no idea, but I love this place. This you know, 1553 01:22:08,040 --> 01:22:10,679 Speaker 1: when we used to when we were growing up in 1554 01:22:10,680 --> 01:22:12,519 Speaker 1: in India and then we would move back and forth, 1555 01:22:12,560 --> 01:22:14,760 Speaker 1: and then I would travel back and forth. It was 1556 01:22:14,760 --> 01:22:16,439 Speaker 1: really interested to being an army medic for a very 1557 01:22:16,439 --> 01:22:18,200 Speaker 1: long time and it was a thing in my family 1558 01:22:18,240 --> 01:22:21,040 Speaker 1: a lot. Like I used to ask my grandfather like 1559 01:22:21,120 --> 01:22:22,960 Speaker 1: should I join the Indian military? Should I join the 1560 01:22:23,000 --> 01:22:25,320 Speaker 1: American military? What do you think should happen? And he 1561 01:22:25,439 --> 01:22:30,400 Speaker 1: was like which house feeds you? And I said, well, 1562 01:22:30,760 --> 01:22:33,679 Speaker 1: you know, what do you mean? He's like, which soil 1563 01:22:34,160 --> 01:22:37,120 Speaker 1: do you live on? What soil cares for you? You 1564 01:22:37,160 --> 01:22:39,160 Speaker 1: know who showed up at our doorstep when nine to 1565 01:22:39,160 --> 01:22:42,160 Speaker 1: eleven happened in India to check on you? Can you 1566 01:22:42,200 --> 01:22:46,880 Speaker 1: believe that State Department sent somebody to a state in 1567 01:22:46,880 --> 01:22:48,800 Speaker 1: India out of the consult because they were doing checks 1568 01:22:48,840 --> 01:22:55,800 Speaker 1: on foreign citizens. And you know, I love history, and 1569 01:22:56,560 --> 01:23:00,000 Speaker 1: all of us play an extraordinarily insignificant part in history. 1570 01:23:00,920 --> 01:23:03,360 Speaker 1: You take your footnote of who your favorite leader is 1571 01:23:03,400 --> 01:23:07,080 Speaker 1: in American history or whatever. They maybe get a sentence 1572 01:23:07,120 --> 01:23:10,120 Speaker 1: in the Book of Human History. We all have a 1573 01:23:10,280 --> 01:23:13,880 Speaker 1: small part. But what's so amazing about this place is 1574 01:23:14,840 --> 01:23:17,479 Speaker 1: we're trying to imagine. I told you there's a society 1575 01:23:17,520 --> 01:23:19,840 Speaker 1: of three hundred and thirty million people that are all 1576 01:23:19,880 --> 01:23:22,559 Speaker 1: different from each other. And you're now a thousand years 1577 01:23:22,600 --> 01:23:25,919 Speaker 1: in the future, and you've studied the species called humans 1578 01:23:26,360 --> 01:23:29,040 Speaker 1: that have exists for one hundred thousand years. And in 1579 01:23:29,080 --> 01:23:32,800 Speaker 1: those ninety nine thousand years, they were violent, and they fought, 1580 01:23:32,880 --> 01:23:36,360 Speaker 1: and they lived in tribes, and they were essentially not 1581 01:23:36,479 --> 01:23:38,719 Speaker 1: what you see today in society. And that's their history. 1582 01:23:38,760 --> 01:23:40,719 Speaker 1: And now you're saying, these three hundred thirty million people 1583 01:23:41,400 --> 01:23:45,200 Speaker 1: are trying to live together, heavily armed and giving each 1584 01:23:45,240 --> 01:23:47,320 Speaker 1: other a voice, and living a system of governance where 1585 01:23:47,320 --> 01:23:50,840 Speaker 1: you and I are valued. That is the most ambitious 1586 01:23:50,840 --> 01:23:54,000 Speaker 1: experiment in the history of humanity. And just the last day, 1587 01:23:54,120 --> 01:23:55,920 Speaker 1: our team had just hired a few new people and 1588 01:23:55,920 --> 01:23:58,400 Speaker 1: we were having all hands meeting. Now'll end with this. 1589 01:23:59,600 --> 01:24:01,000 Speaker 1: We're like, you know, why do you do what you do? 1590 01:24:01,040 --> 01:24:03,920 Speaker 1: And I said, like, look, you know one of our 1591 01:24:03,960 --> 01:24:05,840 Speaker 1: mentors that passed away last year, name was Rob Stein. 1592 01:24:05,920 --> 01:24:08,000 Speaker 1: He talked about his legacy when he was dying, and 1593 01:24:08,040 --> 01:24:11,080 Speaker 1: he was somebody that gave us a lot of knowledge. 1594 01:24:11,080 --> 01:24:13,120 Speaker 1: And he said, you know what I most care about 1595 01:24:13,120 --> 01:24:14,720 Speaker 1: as I pass away now is not the things that 1596 01:24:14,800 --> 01:24:17,160 Speaker 1: I did, but the things that I think people like 1597 01:24:17,240 --> 01:24:20,200 Speaker 1: you will do. And that really changed my perspectives. I said, 1598 01:24:20,280 --> 01:24:22,439 Speaker 1: you know, our team, I said, imagine now you're eighty 1599 01:24:22,479 --> 01:24:25,040 Speaker 1: years old, You've thankfully got get grand kids. And they 1600 01:24:25,040 --> 01:24:27,800 Speaker 1: asked you, what were you doing in the twenties, you know, 1601 01:24:27,840 --> 01:24:30,599 Speaker 1: one of the most divided times in American history, And 1602 01:24:30,640 --> 01:24:33,599 Speaker 1: you said, I tried my best to try to solve 1603 01:24:33,640 --> 01:24:36,040 Speaker 1: one of the most pernicious problems the country's faced, and 1604 01:24:36,080 --> 01:24:39,120 Speaker 1: maybe you failed, but that's a proud answer. And so 1605 01:24:39,280 --> 01:24:41,960 Speaker 1: I love this place. I don't know where it comes from. 1606 01:24:42,520 --> 01:24:44,479 Speaker 1: I wish I was faking it because it would make 1607 01:24:44,479 --> 01:24:46,280 Speaker 1: it so much easier for me to walk away from it. 1608 01:24:46,800 --> 01:24:48,960 Speaker 1: But this is humanity's best shot. 1609 01:24:51,200 --> 01:24:55,400 Speaker 2: And that, my friend, is why you are absolutely a 1610 01:24:55,439 --> 01:24:57,080 Speaker 2: member of the army of normal folks. 1611 01:24:57,120 --> 01:24:58,759 Speaker 1: You're a build the army. 1612 01:24:58,960 --> 01:25:01,800 Speaker 2: You're a guy who sees a need and fills it. 1613 01:25:01,880 --> 01:25:04,320 Speaker 2: And it's an amazing story. And I got to tell you, 1614 01:25:04,880 --> 01:25:07,479 Speaker 2: it gives us fifty five year old goosebumps to look 1615 01:25:07,520 --> 01:25:10,080 Speaker 2: at a twenty four year old kid say I love 1616 01:25:10,120 --> 01:25:12,080 Speaker 2: my country and I want to make it better. We 1617 01:25:12,280 --> 01:25:14,400 Speaker 2: just need a whole bunch more of you, bro, And 1618 01:25:14,439 --> 01:25:17,080 Speaker 2: the work you're doing is phenomenal, and I hope people 1619 01:25:17,200 --> 01:25:22,640 Speaker 2: will start chapters, support you, financially, check you out, and 1620 01:25:24,200 --> 01:25:27,800 Speaker 2: let more people know about the fact that all these 1621 01:25:27,840 --> 01:25:32,280 Speaker 2: twenty year olds run around here are not anti democratic 1622 01:25:34,520 --> 01:25:38,840 Speaker 2: change the world in the worst way possible. People. There's 1623 01:25:39,000 --> 01:25:42,439 Speaker 2: a whole host of guys like you that love this country, 1624 01:25:42,439 --> 01:25:45,080 Speaker 2: that want to make it better and are not trying 1625 01:25:45,080 --> 01:25:48,800 Speaker 2: to do it in a vacuum, but rather in a 1626 01:25:48,920 --> 01:25:52,920 Speaker 2: very inclusive way. I've always said we can be a 1627 01:25:53,000 --> 01:25:57,439 Speaker 2: forward thinking, evolving society without abandoning the core principles that 1628 01:25:57,520 --> 01:25:59,360 Speaker 2: got us here in the first place. And I really, 1629 01:25:59,400 --> 01:26:02,920 Speaker 2: genuinely I think you aren't embodying me of that. And 1630 01:26:04,160 --> 01:26:06,200 Speaker 2: congratulations to what you've done so far. I can't wait 1631 01:26:06,240 --> 01:26:08,800 Speaker 2: to see where you go. And I really appreciate you 1632 01:26:08,880 --> 01:26:09,559 Speaker 2: joining me today. 1633 01:26:09,880 --> 01:26:10,559 Speaker 1: Thanks for having me. 1634 01:26:10,560 --> 01:26:18,400 Speaker 2: We've got a country to build, and thank you for 1635 01:26:18,479 --> 01:26:22,519 Speaker 2: joining us this week. If Manu or another guest has 1636 01:26:22,560 --> 01:26:26,280 Speaker 2: inspired you in general, or better yet, to take action 1637 01:26:26,760 --> 01:26:30,400 Speaker 2: by starting a Bridge USA chapter, by donating to them, 1638 01:26:30,520 --> 01:26:35,439 Speaker 2: or something else entirely, please let me know. I'd love 1639 01:26:35,520 --> 01:26:38,679 Speaker 2: to hear about it. You can write me anytime at 1640 01:26:38,800 --> 01:26:43,479 Speaker 2: Bill at normalfolks dot us, or call or text us 1641 01:26:43,680 --> 01:26:47,840 Speaker 2: at nine oh one three five two one three sixty six. 1642 01:26:48,400 --> 01:26:51,080 Speaker 2: And if you enjoyed this episode, share with friends and 1643 01:26:51,160 --> 01:26:55,000 Speaker 2: on social, subscribe to the podcast, rate and review it, 1644 01:26:55,400 --> 01:26:59,360 Speaker 2: become a premium member at normalfolks dot us. All these 1645 01:26:59,400 --> 01:27:03,559 Speaker 2: things that will help us grow an army of normal folks. 1646 01:27:04,000 --> 01:27:07,360 Speaker 2: Thanks to our producer, Iron Light Labs, I'm Bill Courtney 1647 01:27:07,840 --> 01:27:09,000 Speaker 2: and i'll see you next week.