1 00:00:00,200 --> 00:00:03,360 Speaker 1: Hello the Internet, and welcome to this episode of The 2 00:00:03,560 --> 00:00:08,520 Speaker 1: Weekly Zeitgeist. These are some of our favorite segments from 3 00:00:08,600 --> 00:00:17,759 Speaker 1: this week, all edited together into one NonStop infotainment laugh stravaganza. 4 00:00:18,360 --> 00:00:25,480 Speaker 1: Uh yeah, So, without further ado, here is the Weekly Zeitgeist. Well, 5 00:00:25,600 --> 00:00:29,760 Speaker 1: speaking of oh shit it you guys, it's a banger. 6 00:00:29,880 --> 00:00:33,080 Speaker 1: Just miles a second episode back. But we thought he 7 00:00:33,159 --> 00:00:35,280 Speaker 1: was ready. We had to do it to him. We 8 00:00:35,360 --> 00:00:38,000 Speaker 1: had to do it to them. We're thrilled to be 9 00:00:38,120 --> 00:00:43,120 Speaker 1: joined by the Coldbrew Cracking as producer justin Yeah. You know, 10 00:00:43,159 --> 00:00:46,199 Speaker 1: as we were letting him into the chat, he was like, unleash, 11 00:00:46,400 --> 00:00:50,360 Speaker 1: unleash the cracking, unleash the colbrew crack. Mister Colebrew got 12 00:00:50,360 --> 00:00:53,160 Speaker 1: me like the advice King. The poetry window was open 13 00:00:53,240 --> 00:01:01,800 Speaker 1: because it's Chris motherfucking Craft. Hey, what's up? Thank you 14 00:01:01,880 --> 00:01:05,560 Speaker 1: so much, Jack, Thank you for that. That's like, you 15 00:01:05,600 --> 00:01:07,120 Speaker 1: know when you see a stand up and they play 16 00:01:07,160 --> 00:01:10,240 Speaker 1: like Enter Sandman or something, and they're coming on stage 17 00:01:10,240 --> 00:01:12,039 Speaker 1: and then it goes away. Everybody's like, oh yeah, it's 18 00:01:12,040 --> 00:01:16,120 Speaker 1: a comedy show. It is that. There is that moment 19 00:01:16,160 --> 00:01:17,959 Speaker 1: I know exactly what you're talking about, where like the 20 00:01:18,080 --> 00:01:20,200 Speaker 1: song comes on you feel you're in a baseball game 21 00:01:20,200 --> 00:01:22,360 Speaker 1: because they're like, oh here it comes to oh yeah, 22 00:01:22,360 --> 00:01:24,720 Speaker 1: and then you got like the music fades down. You're like, 23 00:01:24,760 --> 00:01:26,480 Speaker 1: all right, y'all, how are you guys doing to night? 24 00:01:26,560 --> 00:01:28,720 Speaker 1: How are you guys doing tonight? All right, you guys 25 00:01:28,720 --> 00:01:32,240 Speaker 1: on some dates tonight. And you're like, just like, what 26 00:01:32,319 --> 00:01:36,880 Speaker 1: do you do? Sir? Yeah? God, well you do? What 27 00:01:36,920 --> 00:01:39,600 Speaker 1: about you here? What's up with a grateful dead in town? 28 00:01:39,720 --> 00:01:43,640 Speaker 1: Come on? Come on? Hey, am all right? Come on? 29 00:01:44,200 --> 00:01:50,520 Speaker 1: Like he was going hard with that ACDC. That's how 30 00:01:50,560 --> 00:01:53,000 Speaker 1: it felt. That's how it felt. That was such action. 31 00:01:54,240 --> 00:01:59,840 Speaker 1: That was incredible, fucking rap by by Miles there. That 32 00:02:00,160 --> 00:02:02,120 Speaker 1: that was. I felt like I was at a show. 33 00:02:02,520 --> 00:02:04,480 Speaker 1: Yeah all I can all I can talk about now 34 00:02:04,520 --> 00:02:06,880 Speaker 1: his feces and breast mill. So I wanted that show 35 00:02:06,880 --> 00:02:08,480 Speaker 1: to go on. I wanted to hear the rest of 36 00:02:08,520 --> 00:02:11,320 Speaker 1: that song. Oh man, that was I was actually opening 37 00:02:11,320 --> 00:02:14,680 Speaker 1: for another comedian. That's what that song was gonna go. 38 00:02:15,120 --> 00:02:20,000 Speaker 1: Chris crofton, come to the stage, Bob Bob. Yeah, hey guys, 39 00:02:20,960 --> 00:02:24,119 Speaker 1: he's sick of Republicans or what you're dancing to? Luda 40 00:02:24,200 --> 00:02:28,080 Speaker 1: Chris's role out publican. I feel like they don't got 41 00:02:28,120 --> 00:02:31,320 Speaker 1: a brain in their head. You guys heard about Mitch McConnell. Yeah, 42 00:02:31,840 --> 00:02:34,960 Speaker 1: God damn it, that song was better. But back on 43 00:02:35,280 --> 00:02:38,280 Speaker 1: a lizard, he like gets the thing wrong. Instead of turtle, 44 00:02:38,400 --> 00:02:43,040 Speaker 1: he goes, he doesn't even have the He's like an iguana. Huh. 45 00:02:43,040 --> 00:02:47,680 Speaker 1: Oh man, I wish we were listening to informers. Still, yeah, 46 00:02:48,040 --> 00:02:55,520 Speaker 1: ladies telling Chris Croft, oh man, this is gonna rule. 47 00:02:56,360 --> 00:03:04,359 Speaker 1: So I grew up in Connecticut, doesn't Connecticut? You heard 48 00:03:04,400 --> 00:03:08,840 Speaker 1: of the Vanderbilt Press. Okay, First, first of all, you 49 00:03:08,880 --> 00:03:11,240 Speaker 1: can get my book on a website. Hold on, I 50 00:03:11,280 --> 00:03:17,160 Speaker 1: have written down book after the same plug it after this, 51 00:03:17,320 --> 00:03:22,360 Speaker 1: say w w W hold on some plugs. I'm gonna 52 00:03:22,360 --> 00:03:26,320 Speaker 1: open with some plugs really quick. What else do I have? 53 00:03:27,240 --> 00:03:31,799 Speaker 1: What else do I have? What else? What else? First word? Yeah? 54 00:03:31,840 --> 00:03:35,560 Speaker 1: First words? Or what else? First word? What else? Yeah, 55 00:03:35,600 --> 00:03:39,200 Speaker 1: that's a that's a strong He went with the first word, 56 00:03:39,320 --> 00:03:43,160 Speaker 1: what else? He went, what else? Open? Flashbacks in twenty 57 00:03:43,320 --> 00:03:48,040 Speaker 1: fourteen Los Angeles, me showing up age forty fucking god 58 00:03:48,240 --> 00:03:53,400 Speaker 1: damn and uh age forty goddamn and uh you know, 59 00:03:53,560 --> 00:03:58,680 Speaker 1: just entering, you know, Nashville legend showing up to Yeah, 60 00:03:59,080 --> 00:04:01,520 Speaker 1: start all over it open mics in Los Angeles at 61 00:04:01,560 --> 00:04:03,560 Speaker 1: age forty five, and I'm like, no, one's what is 62 00:04:03,600 --> 00:04:06,960 Speaker 1: everybody treating me like such a weirdo? For? Why are 63 00:04:06,960 --> 00:04:11,320 Speaker 1: these twenty two year olds fucking being such dicks like 64 00:04:11,360 --> 00:04:15,240 Speaker 1: they're God, I can't believe why are these twenty two 65 00:04:15,320 --> 00:04:18,160 Speaker 1: year old old? I must have looked to them now 66 00:04:18,279 --> 00:04:20,760 Speaker 1: old of forty five year old is when you're twenty two. 67 00:04:21,400 --> 00:04:24,960 Speaker 1: Oh yeah, it's like being dead or a hundred. Although 68 00:04:25,160 --> 00:04:27,200 Speaker 1: I remember when I was twenty two, everyone over the 69 00:04:27,240 --> 00:04:29,720 Speaker 1: age of thirty seemed like the same amount of old. 70 00:04:30,120 --> 00:04:32,760 Speaker 1: Oh yeah, Like it was like thirty to sixty was 71 00:04:32,839 --> 00:04:36,400 Speaker 1: just old. And I remember, like, I remember doing drugs 72 00:04:36,400 --> 00:04:38,240 Speaker 1: with someone that was in their forties and I couldn't 73 00:04:38,240 --> 00:04:40,239 Speaker 1: believe that they did. Like I was like, yo, you 74 00:04:40,240 --> 00:04:44,159 Speaker 1: your party. I'm like, you're forty though. They're like, yeah, dude, 75 00:04:44,160 --> 00:04:46,320 Speaker 1: I'm my life's been fucked up for longer than you've 76 00:04:46,360 --> 00:04:48,880 Speaker 1: been alive. And I was like, oh, okay, cool, cool, No, 77 00:04:49,400 --> 00:04:52,440 Speaker 1: got real dark on it, real grizzled. I was like, 78 00:04:52,600 --> 00:04:56,040 Speaker 1: all right, you're still doing drugs with twenty year olds 79 00:04:56,040 --> 00:04:58,839 Speaker 1: and your in your forties. It's it's coming from a 80 00:04:58,920 --> 00:05:02,479 Speaker 1: dark place present. Yeah. Yeah, life's been fucked up since 81 00:05:02,520 --> 00:05:05,479 Speaker 1: before you were shipping in diapers kids. Yeah, I was 82 00:05:05,520 --> 00:05:07,000 Speaker 1: doing that in two thousand. I was doing that in 83 00:05:07,040 --> 00:05:10,960 Speaker 1: twenty eleven. Then I got my ship together and went 84 00:05:11,000 --> 00:05:16,200 Speaker 1: straight to open mics. There it is. I gotta ask you, Doug, 85 00:05:16,240 --> 00:05:18,520 Speaker 1: what is something from your search history that's you know, 86 00:05:18,600 --> 00:05:21,280 Speaker 1: revealing about reveal something about what you're into right now. 87 00:05:21,560 --> 00:05:23,320 Speaker 1: And if you looked at my search history, it would 88 00:05:23,320 --> 00:05:29,559 Speaker 1: basically be things like pain top of foot him, muscle pain. 89 00:05:29,960 --> 00:05:31,960 Speaker 1: I'm a big runner. I run a couple of marathons, 90 00:05:32,000 --> 00:05:34,640 Speaker 1: but I'm also old, like, Okay, I'm gonna be fifteen 91 00:05:34,640 --> 00:05:37,600 Speaker 1: next year, and so any run that I come back 92 00:05:37,640 --> 00:05:42,400 Speaker 1: from usually results in a search of like what was that? Basically, yeah, 93 00:05:42,400 --> 00:05:44,040 Speaker 1: are you on? Are you one of those runners? Or 94 00:05:44,080 --> 00:05:46,040 Speaker 1: like the first mile and a half you got to 95 00:05:46,080 --> 00:05:47,760 Speaker 1: just blow all the pain out of your legs and 96 00:05:47,800 --> 00:05:49,680 Speaker 1: then you settle in or you kind of like every 97 00:05:49,720 --> 00:05:52,479 Speaker 1: time I run, the first mile is apps it's like 98 00:05:52,520 --> 00:05:54,320 Speaker 1: my body, like I feel like that scene in Forrest 99 00:05:54,400 --> 00:05:57,120 Speaker 1: Gump when his leg braces are breaking off. That's how 100 00:05:57,440 --> 00:05:59,359 Speaker 1: I always say. The first two or three miles of 101 00:05:59,440 --> 00:06:01,320 Speaker 1: any race that I do. Any run that I do 102 00:06:01,520 --> 00:06:03,040 Speaker 1: is just like the warm up, which is a real 103 00:06:03,040 --> 00:06:04,839 Speaker 1: problem if you're doing like a five K because that's 104 00:06:04,839 --> 00:06:08,800 Speaker 1: basically three miles, right, But yeah, that's pretty much me. Okay, 105 00:06:08,920 --> 00:06:10,599 Speaker 1: got it? And then wait, what's it? What's the top 106 00:06:10,640 --> 00:06:14,719 Speaker 1: of the foot paint? Oh man, like you know, yeah, 107 00:06:14,720 --> 00:06:17,120 Speaker 1: you know your stuff, metatarsal, you know, all that kind 108 00:06:17,120 --> 00:06:19,400 Speaker 1: of stuff, and then bottom of the foot planter, fasciatus, 109 00:06:19,480 --> 00:06:22,240 Speaker 1: all that stuff. You should see my appointment heal striking. 110 00:06:22,320 --> 00:06:24,040 Speaker 1: What's your form? Like you heal striking? Can we get 111 00:06:24,160 --> 00:06:26,320 Speaker 1: heal strike a little bit too much? Yeah, a little 112 00:06:26,320 --> 00:06:30,039 Speaker 1: bit too much. Yeah. My apartment's like a physical therapist office. 113 00:06:30,080 --> 00:06:33,320 Speaker 1: I've got like the phone pads, the thera bands, and 114 00:06:33,480 --> 00:06:35,839 Speaker 1: like the wobble boards and all of that stuff. So 115 00:06:35,839 --> 00:06:38,280 Speaker 1: I'm constantly trying to like figure you know, one thing breaks, 116 00:06:38,320 --> 00:06:40,320 Speaker 1: you fix it, and then the next thing breaks. Like 117 00:06:40,400 --> 00:06:43,920 Speaker 1: I'm like an old car basically. Yeah, yeah, I got 118 00:06:43,920 --> 00:06:46,120 Speaker 1: some hip flix or paint I'm trying to get basically. Yeah, 119 00:06:46,160 --> 00:06:48,520 Speaker 1: we're sitting too much too, that's the big problem. Yeah, 120 00:06:48,520 --> 00:06:52,760 Speaker 1: exactly exactly. Andrew you have I know you're a physical specimen, 121 00:06:52,800 --> 00:06:55,760 Speaker 1: so you probably oh no, I actually can't run. I've 122 00:06:55,800 --> 00:07:00,360 Speaker 1: had two knee surgeries. Really yeah, I've series, but between 123 00:07:00,440 --> 00:07:02,159 Speaker 1: the one and two, and I'm sure that led to 124 00:07:02,240 --> 00:07:08,599 Speaker 1: number two. I like wouldn't stop kickboxing, so like wasn't 125 00:07:08,640 --> 00:07:12,120 Speaker 1: great problem, Like, man, your patella can't handle any more 126 00:07:12,120 --> 00:07:15,240 Speaker 1: of these kicks. It really was not. Not idea and 127 00:07:15,360 --> 00:07:17,480 Speaker 1: wrestling too, are just like why why do we doing? 128 00:07:17,600 --> 00:07:21,520 Speaker 1: I should be so I'm bad. I'm just like a 129 00:07:21,520 --> 00:07:23,640 Speaker 1: At least earlier in my life, I was like, I'll 130 00:07:23,680 --> 00:07:27,960 Speaker 1: just get new knees, Just run down to the store 131 00:07:28,760 --> 00:07:32,440 Speaker 1: up a spare set of gloves and yeah, by the way, 132 00:07:32,680 --> 00:07:35,440 Speaker 1: not wise advice for anyone listening to this who still 133 00:07:35,440 --> 00:07:38,960 Speaker 1: has good knees. I know, man, I I fucked my 134 00:07:39,000 --> 00:07:41,600 Speaker 1: knee up terribly at a when I when I worked 135 00:07:41,600 --> 00:07:44,440 Speaker 1: at Playboy, there was a staff party at the mansion 136 00:07:44,440 --> 00:07:46,360 Speaker 1: that they would have every year, and there's like a 137 00:07:46,480 --> 00:07:48,640 Speaker 1: hill at the Playboy Man's this is look. I know, 138 00:07:48,640 --> 00:07:50,640 Speaker 1: it's a terrible fucking place to work. Trust me. I 139 00:07:50,760 --> 00:07:52,360 Speaker 1: worked there with Jamie Loftus. We were there at the 140 00:07:52,400 --> 00:07:55,360 Speaker 1: same time. It was kind of a crazy situation. But 141 00:07:55,400 --> 00:07:57,520 Speaker 1: they set up this slipping slide that's on a very 142 00:07:57,560 --> 00:08:01,200 Speaker 1: steep hill and I went down this thing full speed, 143 00:08:01,280 --> 00:08:04,160 Speaker 1: and when I hit the fucking like backstop of it 144 00:08:04,400 --> 00:08:07,720 Speaker 1: almost like full hyper extended my shit because like it 145 00:08:07,800 --> 00:08:09,920 Speaker 1: was so the speed I hit it was so intense, 146 00:08:10,200 --> 00:08:12,160 Speaker 1: and I for a second, like I went to a 147 00:08:12,240 --> 00:08:14,280 Speaker 1: doctor and they're like, you know, you you may need 148 00:08:14,360 --> 00:08:16,240 Speaker 1: surgery because I was playing a lot of soccer at 149 00:08:16,280 --> 00:08:17,920 Speaker 1: the times, Like if you want to do that like 150 00:08:18,040 --> 00:08:19,800 Speaker 1: and kind of recover, and I was like, well, what 151 00:08:19,880 --> 00:08:21,480 Speaker 1: happens if I don't. He's like, you could try and 152 00:08:21,560 --> 00:08:23,160 Speaker 1: let it heal. It's like not so bad that you 153 00:08:23,160 --> 00:08:25,679 Speaker 1: couldn't just like stay off it and see what happens. 154 00:08:26,040 --> 00:08:28,600 Speaker 1: And I opted for staying off it, and I've stayed 155 00:08:28,640 --> 00:08:30,680 Speaker 1: off it for many years now at that point where 156 00:08:30,800 --> 00:08:35,520 Speaker 1: I'm like to get this shit going again. Yeah, let's 157 00:08:35,559 --> 00:08:37,920 Speaker 1: move on to our next question. What is something you 158 00:08:38,040 --> 00:08:43,840 Speaker 1: think is overrated? College degrees? Okay, go on. So I 159 00:08:43,880 --> 00:08:46,480 Speaker 1: didn't graduate from high school. I didn't go to college, 160 00:08:46,640 --> 00:08:52,080 Speaker 1: and I'm not I'm not bragging about that, but you know, 161 00:08:52,200 --> 00:08:55,080 Speaker 1: I had well and I wrote about this in my book. 162 00:08:55,120 --> 00:08:56,920 Speaker 1: I lied about it all the time in order to 163 00:08:56,920 --> 00:08:59,679 Speaker 1: get jobs. I said I was George Santos basically like 164 00:09:02,320 --> 00:09:06,160 Speaker 1: it you make. I padded my resume because I wouldn't 165 00:09:06,160 --> 00:09:09,360 Speaker 1: have gotten the job without it. But I was without 166 00:09:09,400 --> 00:09:12,280 Speaker 1: that on paper qualification. I was still qualified to do 167 00:09:12,360 --> 00:09:14,520 Speaker 1: the job. I had the experience, I understood how to 168 00:09:14,559 --> 00:09:17,760 Speaker 1: do it. I'm a quick learner, Like I educated myself 169 00:09:17,800 --> 00:09:20,400 Speaker 1: about the position before I got it and then went 170 00:09:20,480 --> 00:09:24,040 Speaker 1: all in and I did really well. So I don't 171 00:09:24,120 --> 00:09:26,400 Speaker 1: think I needed that piece of paper in order to 172 00:09:26,440 --> 00:09:29,800 Speaker 1: do the job. But there's there's this consensus that we 173 00:09:29,920 --> 00:09:33,480 Speaker 1: do need that, And a lot of people in my family, 174 00:09:33,559 --> 00:09:38,120 Speaker 1: they're successful, don't have college degrees. And I'm not discouraging 175 00:09:38,120 --> 00:09:41,040 Speaker 1: anyone from getting it, but I do think they're overrated. Yeah. Well, 176 00:09:41,080 --> 00:09:43,679 Speaker 1: I think there's just like this disconnect to where there's 177 00:09:43,679 --> 00:09:46,480 Speaker 1: this emphasis about having it yet it's so hard to 178 00:09:46,520 --> 00:09:49,200 Speaker 1: attain or in a way that doesn't potentially fuck you 179 00:09:49,280 --> 00:09:52,280 Speaker 1: up for decades to come. Yeah, yeah, I get that. 180 00:09:52,320 --> 00:09:54,439 Speaker 1: It's like that so many people now. Like I was 181 00:09:54,480 --> 00:09:57,600 Speaker 1: just talking to somebody, I was watching like the Final 182 00:09:57,640 --> 00:09:59,320 Speaker 1: four tournament, and I was like, I was like I 183 00:09:59,360 --> 00:10:01,800 Speaker 1: almost went to like my like almost into University of 184 00:10:01,880 --> 00:10:03,840 Speaker 1: Miami because like I got in in my mind, I 185 00:10:03,840 --> 00:10:06,319 Speaker 1: was like, yeah, I'm a fucking party in Miami for college. 186 00:10:06,600 --> 00:10:09,480 Speaker 1: Then I saw what it costs, and I'm to keep 187 00:10:09,480 --> 00:10:12,040 Speaker 1: my ass in the fucking state because I do. I 188 00:10:12,080 --> 00:10:14,800 Speaker 1: absolutely couldn't, especially when I saw my other friends taking 189 00:10:14,800 --> 00:10:17,480 Speaker 1: on loans and like what the payback sort of structure 190 00:10:17,520 --> 00:10:20,560 Speaker 1: looked like. I was frightened to the point where I 191 00:10:20,600 --> 00:10:22,440 Speaker 1: was almost like, I know, I want to get into 192 00:10:22,480 --> 00:10:27,080 Speaker 1: comedy and shit, but yeah, like my grandparents and my parents' 193 00:10:27,200 --> 00:10:29,840 Speaker 1: voice rang in my head. They're like, look, if you 194 00:10:29,840 --> 00:10:31,520 Speaker 1: could go for it, and if you fuck up, at 195 00:10:31,600 --> 00:10:33,680 Speaker 1: least you could teach history because you have that degree. 196 00:10:33,679 --> 00:10:35,480 Speaker 1: And I'm like that and I would do that if 197 00:10:35,520 --> 00:10:37,360 Speaker 1: things shook out a different way. So I kind of 198 00:10:37,480 --> 00:10:40,360 Speaker 1: I see that. Yeah, it's so because it's like nominally 199 00:10:40,360 --> 00:10:43,200 Speaker 1: it's supposed to be like proof that you did something 200 00:10:43,320 --> 00:10:45,040 Speaker 1: or you accomplish something or at a level, but like, 201 00:10:45,200 --> 00:10:48,080 Speaker 1: because of the way the world works, there's so much 202 00:10:48,200 --> 00:10:51,000 Speaker 1: variance and what that fucking piece of paper means. Like 203 00:10:52,000 --> 00:10:54,720 Speaker 1: I feel like like I did, unfortunately go to like 204 00:10:54,760 --> 00:10:58,000 Speaker 1: a nice college, and like, truly, the only thing I 205 00:10:58,080 --> 00:11:01,800 Speaker 1: learned from that college I find was valuable was that 206 00:11:02,640 --> 00:11:05,720 Speaker 1: um rich kids are not only not better than you, 207 00:11:05,880 --> 00:11:09,000 Speaker 1: they are actively worse than you. They are the dumbest 208 00:11:09,040 --> 00:11:11,400 Speaker 1: people on earth. And we all have the same piece 209 00:11:11,440 --> 00:11:15,760 Speaker 1: of paper at the end of the day. Right, It's hilarious. 210 00:11:15,800 --> 00:11:18,640 Speaker 1: I just like to like I always think about when 211 00:11:18,880 --> 00:11:20,800 Speaker 1: you know, you have a resume or whatever and they 212 00:11:20,800 --> 00:11:23,679 Speaker 1: ask for like your education, You're like, how many times 213 00:11:23,679 --> 00:11:27,880 Speaker 1: has anyone ever actually bothered to check up on that 214 00:11:28,000 --> 00:11:29,640 Speaker 1: unless like you came in and they like you were 215 00:11:29,640 --> 00:11:31,560 Speaker 1: so flagrant with it. They're like, there's no way this 216 00:11:31,600 --> 00:11:35,440 Speaker 1: person has like a master's from whatever. But right to 217 00:11:35,480 --> 00:11:36,920 Speaker 1: your point, I'm like, yeah, just fake it till you 218 00:11:36,920 --> 00:11:40,000 Speaker 1: make it. You know where my diploma is? Oh I 219 00:11:40,000 --> 00:11:42,480 Speaker 1: didn't even say one. Yeah, I didn't go. I didn't 220 00:11:42,480 --> 00:11:47,240 Speaker 1: even walk. Yeah. Now I was so old, man. I look, 221 00:11:47,280 --> 00:11:50,720 Speaker 1: I was so over academia because a part of me 222 00:11:50,880 --> 00:11:53,360 Speaker 1: was like, well, like I was already becoming like this 223 00:11:53,480 --> 00:11:56,640 Speaker 1: cynical person about like what a degree meant. And I'm 224 00:11:56,640 --> 00:11:58,760 Speaker 1: like but and then I had like survivors get I'm like, 225 00:11:58,800 --> 00:12:00,559 Speaker 1: how come I can get a degree? Diesel? The kids 226 00:12:00,600 --> 00:12:02,200 Speaker 1: you're gonna degree and they got to do this And 227 00:12:02,200 --> 00:12:03,679 Speaker 1: then they go up in the draw like and then 228 00:12:03,679 --> 00:12:05,440 Speaker 1: we're all going up in the same job interview where 229 00:12:05,440 --> 00:12:08,080 Speaker 1: you like, you need seventeen years of experience for this 230 00:12:08,160 --> 00:12:12,040 Speaker 1: job and you're like, I'm seventeen though, yeah, you know, 231 00:12:12,080 --> 00:12:14,880 Speaker 1: and it's just like y. So anyway, all that to 232 00:12:14,920 --> 00:12:17,440 Speaker 1: say is when my it was it's UCLA, So it 233 00:12:17,559 --> 00:12:21,000 Speaker 1: was hot in LA in the summer like beginning, and 234 00:12:21,800 --> 00:12:23,640 Speaker 1: it was all going to be outdoors, and I asked 235 00:12:23,640 --> 00:12:25,040 Speaker 1: my parents, so I was like, you want to wait 236 00:12:25,120 --> 00:12:27,679 Speaker 1: out there, like to be called amongst hundreds of names, 237 00:12:27,720 --> 00:12:29,760 Speaker 1: and they're like, if you don't care, we don't care. 238 00:12:29,800 --> 00:12:32,440 Speaker 1: And I'm like, I don't care, man, if you want it, 239 00:12:32,480 --> 00:12:35,200 Speaker 1: we can diploma, but that's more money and I would 240 00:12:35,280 --> 00:12:40,240 Speaker 1: rather just stop giving this UC system money. So yeah, 241 00:12:40,280 --> 00:12:42,560 Speaker 1: that way I could walk head first in two thousand 242 00:12:42,600 --> 00:12:45,120 Speaker 1: and seven into a recession with my degree and hey, 243 00:12:45,160 --> 00:12:47,160 Speaker 1: I got this degree to enter the middle. But what 244 00:12:47,240 --> 00:12:52,760 Speaker 1: the fuck is happening? Which is, yeah, it's very I 245 00:12:52,880 --> 00:12:55,120 Speaker 1: talk about this a lot with other millennials about how like, 246 00:12:55,920 --> 00:12:58,000 Speaker 1: especially like there's so many people who get so down, 247 00:12:58,120 --> 00:13:00,880 Speaker 1: like because everything is so difficent well to attain right 248 00:13:00,880 --> 00:13:03,400 Speaker 1: now for younger people, and were fed this thing of like, 249 00:13:03,400 --> 00:13:06,240 Speaker 1: well you should be doing this by now without understanding 250 00:13:06,280 --> 00:13:09,440 Speaker 1: like how uniquely of a shitty situation we came of 251 00:13:09,480 --> 00:13:12,560 Speaker 1: aging where it was almost like oh yeah, like I 252 00:13:12,679 --> 00:13:14,720 Speaker 1: was standing on the rug as it was getting yanked out. 253 00:13:16,360 --> 00:13:21,040 Speaker 1: What something you think is underrated? Things being overrated? Go on? 254 00:13:24,640 --> 00:13:27,000 Speaker 1: What kind of thing I've never come on here and 255 00:13:27,080 --> 00:13:28,880 Speaker 1: not done one? That was just like food that I 256 00:13:28,960 --> 00:13:32,800 Speaker 1: just thought of for I was like, because I started 257 00:13:32,800 --> 00:13:34,120 Speaker 1: to think, I was like, I'll do that, but I 258 00:13:34,160 --> 00:13:35,760 Speaker 1: was like, no, I already did that. I think I 259 00:13:35,840 --> 00:13:41,400 Speaker 1: already said like fried onion strings are underrated or whatever. Wait, oh, 260 00:13:41,480 --> 00:13:44,360 Speaker 1: I was like a side dish. Yeah, I wasn't like 261 00:13:45,559 --> 00:13:47,760 Speaker 1: I was gonna be like fries are overrated, onion rings 262 00:13:47,760 --> 00:13:49,440 Speaker 1: are underrated. But then I was like, I think I 263 00:13:49,559 --> 00:13:54,760 Speaker 1: already said that on here, and also fries are not overrated. 264 00:13:54,800 --> 00:13:56,920 Speaker 1: That's like a lie. I would just be saying it. 265 00:13:57,880 --> 00:14:00,440 Speaker 1: You're just saying right right, You're just saying we got 266 00:14:00,440 --> 00:14:02,880 Speaker 1: to give some more attention to the onion ring. Yeah, 267 00:14:02,880 --> 00:14:06,520 Speaker 1: like like onion rings are underrated, but fries are rated correctly, 268 00:14:06,760 --> 00:14:11,400 Speaker 1: onion rings are onion strings well both, Like I had 269 00:14:11,400 --> 00:14:15,920 Speaker 1: some really fucking good fried onions the other day at 270 00:14:15,960 --> 00:14:19,880 Speaker 1: this place, the Otto and Echo Park that's like a 271 00:14:19,960 --> 00:14:23,760 Speaker 1: Japanese place, Yeah, the Japanese place, and got sense I 272 00:14:23,840 --> 00:14:26,840 Speaker 1: got fried onions there and they were like spring onions. 273 00:14:26,960 --> 00:14:29,800 Speaker 1: They were temporous spring onions and just like a plate 274 00:14:29,960 --> 00:14:35,680 Speaker 1: up plate of like onion spears, basically just like flash 275 00:14:35,680 --> 00:14:38,240 Speaker 1: fried and they are so fucking good. And it was 276 00:14:38,280 --> 00:14:40,200 Speaker 1: also what I wanted it to be, which was like, 277 00:14:41,120 --> 00:14:45,920 Speaker 1: uh slightly high end blooming onion. Yeah yeah, which just 278 00:14:45,960 --> 00:14:48,040 Speaker 1: tasted like a bloom and onion but like a little 279 00:14:48,280 --> 00:14:53,160 Speaker 1: like delicate, so good. It's funny because is also like 280 00:14:53,200 --> 00:14:55,440 Speaker 1: a Japanese cracker that I loved as a kid that 281 00:14:55,520 --> 00:14:57,920 Speaker 1: was like whale and like a nautical shaped But I 282 00:14:58,080 --> 00:15:00,400 Speaker 1: like that there's but it's also like something say like 283 00:15:00,440 --> 00:15:03,240 Speaker 1: if you're like, oh, like whoops, like or something's about 284 00:15:03,280 --> 00:15:07,200 Speaker 1: like it's kind of how you deploy that that phrase. 285 00:15:07,720 --> 00:15:10,800 Speaker 1: Uh dope. But anyway, man, I love onion strings. I'm 286 00:15:10,800 --> 00:15:13,640 Speaker 1: gonna just say that if a good onion string. Sometimes 287 00:15:13,640 --> 00:15:15,880 Speaker 1: their rings like when they're just like the frozen times, 288 00:15:15,920 --> 00:15:20,080 Speaker 1: like sometimes the ratio of the batter batter a little bit, 289 00:15:20,960 --> 00:15:23,280 Speaker 1: it's too much. It hurts my stumm, it like too 290 00:15:23,320 --> 00:15:25,840 Speaker 1: much bad. Okay, well, good to know. I will will 291 00:15:25,880 --> 00:15:30,040 Speaker 1: make sure that's that's how we need temper up. It 292 00:15:30,160 --> 00:15:36,960 Speaker 1: was light, it was crispy, it was perfect. You gotta 293 00:15:37,280 --> 00:15:39,840 Speaker 1: you gotta fuck with it. Yeah, I mean, look, we 294 00:15:40,160 --> 00:15:42,120 Speaker 1: can we can eat anything if it's deep fried. I 295 00:15:42,160 --> 00:15:45,720 Speaker 1: believe in ourselves. All right, let's take a quick break 296 00:15:45,720 --> 00:15:47,680 Speaker 1: and we're gonna be right back to talk about the 297 00:15:47,800 --> 00:16:00,120 Speaker 1: news after this. And we're back, and just wanted to 298 00:16:00,120 --> 00:16:02,880 Speaker 1: continue on something that Andrew brought up yesterday when we 299 00:16:02,880 --> 00:16:07,080 Speaker 1: were talking about Representative Tim Burkett or Burchett from Tennessee, 300 00:16:07,160 --> 00:16:09,480 Speaker 1: who was asked to a very direct question about, you know, 301 00:16:09,640 --> 00:16:12,320 Speaker 1: school shootings and what Congress is rolling it, which he said, 302 00:16:12,360 --> 00:16:13,840 Speaker 1: I don't really think we have a role at all. 303 00:16:14,120 --> 00:16:17,320 Speaker 1: And then more importantly, when you know, this journalist is like, well, 304 00:16:17,360 --> 00:16:20,200 Speaker 1: you're clearly acknowledging the danger. How do you think we 305 00:16:20,360 --> 00:16:22,800 Speaker 1: protect people like your daughter you just mentioned? And this 306 00:16:23,000 --> 00:16:26,240 Speaker 1: was his answer, plus should be done to protect people 307 00:16:26,240 --> 00:16:29,520 Speaker 1: like your little girlfriend being safe at school? Well, we 308 00:16:29,720 --> 00:16:33,200 Speaker 1: home schooler, and that's our decision. Some people don't have 309 00:16:33,240 --> 00:16:35,440 Speaker 1: that option, and frankly, some people don't need to do it, 310 00:16:35,440 --> 00:16:38,280 Speaker 1: and they don't have to it just suited our mads 311 00:16:38,360 --> 00:16:41,840 Speaker 1: much better. So this has brought on a lot of 312 00:16:41,920 --> 00:16:46,520 Speaker 1: conversation around homeschooling because this is like this it's becoming 313 00:16:46,560 --> 00:16:49,640 Speaker 1: a very it's like, this is like the new response 314 00:16:50,240 --> 00:16:52,920 Speaker 1: from the GOP rather than gun control. It was either 315 00:16:52,960 --> 00:16:54,720 Speaker 1: like it's a mental health crisis, but we're not going 316 00:16:54,760 --> 00:16:58,040 Speaker 1: to fund it, or it's yeah, maybe that's why you 317 00:16:58,040 --> 00:17:00,760 Speaker 1: shouldn't be in fucking schools. And a lot of people, 318 00:17:00,800 --> 00:17:03,520 Speaker 1: like I said, we're like to your point, Andrew, You're like, 319 00:17:03,640 --> 00:17:05,800 Speaker 1: this is this is this is all like that was 320 00:17:05,840 --> 00:17:09,000 Speaker 1: the perfect answer for the GOP because A, you're being like, 321 00:17:09,040 --> 00:17:14,160 Speaker 1: I'm offering a terrible solution that's actually privatization. Yea. And yeah, 322 00:17:14,200 --> 00:17:15,840 Speaker 1: I think a lot of people were just sort of like, 323 00:17:15,960 --> 00:17:18,920 Speaker 1: this is just an absolute absurdity because when you're talking 324 00:17:18,960 --> 00:17:21,359 Speaker 1: about school shooting and the and the answer is to 325 00:17:21,400 --> 00:17:24,720 Speaker 1: protect them with homeschooling, that's again, like he said, not 326 00:17:24,840 --> 00:17:28,119 Speaker 1: a possibility for everyone, and also not a fucking solution 327 00:17:28,720 --> 00:17:31,639 Speaker 1: to the problem. It's bad for something. It is like 328 00:17:31,680 --> 00:17:33,680 Speaker 1: a little look, I know that when they're like, don't 329 00:17:33,720 --> 00:17:38,440 Speaker 1: politicize with school shooting, it's like just a talking point 330 00:17:38,480 --> 00:17:41,879 Speaker 1: and it's bullshit. But it is a little like amazing 331 00:17:41,880 --> 00:17:45,760 Speaker 1: how effortlessly he pivoted from this tragedy to just a 332 00:17:45,920 --> 00:17:49,280 Speaker 1: different talking point. Yeah, that's like politicizing it in a 333 00:17:49,280 --> 00:17:53,040 Speaker 1: admittedly unique but perfect for these scumbags way. It's like, 334 00:17:53,720 --> 00:17:57,280 Speaker 1: you know, yeah, I guess he stayed on message. Yeah, Like, okay, 335 00:17:57,280 --> 00:18:01,120 Speaker 1: So after You've all Day last year, moll tople conservative 336 00:18:01,160 --> 00:18:04,560 Speaker 1: and right wing, like far right publications, we're putting out 337 00:18:04,560 --> 00:18:07,960 Speaker 1: a beds that were like, man like, they're extolling the 338 00:18:08,040 --> 00:18:11,040 Speaker 1: virtues of homeschooling. They're like, this is the real practical 339 00:18:11,160 --> 00:18:15,040 Speaker 1: fix for school shootings. One headline was homeschooling surges as 340 00:18:15,080 --> 00:18:19,400 Speaker 1: parents seek escape from shootings violence. Another one said tragedies 341 00:18:19,440 --> 00:18:22,520 Speaker 1: like the Texas shooting make a somber case for homeschooling, 342 00:18:22,760 --> 00:18:24,840 Speaker 1: and in that it says, you know, it sort of 343 00:18:24,880 --> 00:18:26,800 Speaker 1: starts off seeing tragedies like the shooting in Texas are 344 00:18:26,800 --> 00:18:29,480 Speaker 1: heartbreaking but far too common. But to protect the most 345 00:18:29,480 --> 00:18:33,639 Speaker 1: precious innocent lives among us, parents must educate their kids 346 00:18:33,960 --> 00:18:36,639 Speaker 1: at home. Now, a lot of parents in you All 347 00:18:36,720 --> 00:18:40,000 Speaker 1: Day did opt to homeschool their kids, which I understand 348 00:18:40,119 --> 00:18:43,680 Speaker 1: because that was a total collapse and failure of any 349 00:18:43,720 --> 00:18:46,120 Speaker 1: system of safety that you know you could have hoped for. 350 00:18:46,440 --> 00:18:49,440 Speaker 1: But this is just such a bad faith argument. And 351 00:18:49,680 --> 00:18:52,359 Speaker 1: it's really not even talking about like the benefits of 352 00:18:52,400 --> 00:18:54,880 Speaker 1: homeschooling so much as to your point, it's about weakening 353 00:18:54,920 --> 00:18:58,439 Speaker 1: public education. Well, they just want to basically give all 354 00:18:58,480 --> 00:19:00,639 Speaker 1: the money that they're spending on public edge ucation to 355 00:19:00,880 --> 00:19:03,440 Speaker 1: these homeschoolers. Right, Like, you know, if you want to 356 00:19:03,480 --> 00:19:05,879 Speaker 1: homeschool your kid, fine, like that's your choice, you can 357 00:19:05,920 --> 00:19:08,800 Speaker 1: do it, but you shouldn't necessarily get public money, taxpayer 358 00:19:08,840 --> 00:19:11,520 Speaker 1: dollars to go do that, because it takes taxpayer dollars 359 00:19:11,520 --> 00:19:13,720 Speaker 1: out of the school system and makes our schools worse. 360 00:19:14,080 --> 00:19:16,200 Speaker 1: And this is just they're, like you said, they're politicizing 361 00:19:16,240 --> 00:19:20,240 Speaker 1: this thing to just advance the school choice goals that 362 00:19:20,280 --> 00:19:24,960 Speaker 1: they have to weaken and ultimately destroy public schools. I 363 00:19:24,960 --> 00:19:26,920 Speaker 1: went to public schools as a kid, and I got 364 00:19:26,920 --> 00:19:29,280 Speaker 1: a great education. My kids go to public schools. We 365 00:19:29,280 --> 00:19:32,480 Speaker 1: should be funding them a thousand times more than we 366 00:19:32,520 --> 00:19:34,600 Speaker 1: are now. But that's not that that doesn't jive with 367 00:19:34,680 --> 00:19:37,600 Speaker 1: the Republican agenda. So here you go. Well, and they 368 00:19:37,640 --> 00:19:40,879 Speaker 1: love anything that would repeatedly make a public school seem 369 00:19:40,960 --> 00:19:43,720 Speaker 1: like an unsafe place and conversing or the other side 370 00:19:43,720 --> 00:19:44,960 Speaker 1: of it too. It's like, well, if you're like, well, 371 00:19:44,960 --> 00:19:48,320 Speaker 1: this this private school has you know, former Massad agents 372 00:19:48,480 --> 00:19:51,000 Speaker 1: guarding the exterior of it, so I feel like my 373 00:19:51,119 --> 00:19:53,959 Speaker 1: child will be safe there. But again you're looking at 374 00:19:53,960 --> 00:19:56,640 Speaker 1: all these disparities and the other system the other part 375 00:19:56,640 --> 00:19:58,439 Speaker 1: of it too, Like you know, in reading this one 376 00:19:58,440 --> 00:20:01,280 Speaker 1: piece in Jezebel, which like there was a really main 377 00:20:01,680 --> 00:20:04,200 Speaker 1: huge point too, is a lot of women most likely 378 00:20:04,240 --> 00:20:07,560 Speaker 1: will probably end up staying home to educate the kids. 379 00:20:07,600 --> 00:20:10,840 Speaker 1: So we are fully like we're regressing, and it's like 380 00:20:10,840 --> 00:20:14,720 Speaker 1: a very efficient way to regress that, like it incentivizes 381 00:20:14,720 --> 00:20:18,840 Speaker 1: privatization and reinforcing these like old like gender roles, and 382 00:20:19,240 --> 00:20:23,600 Speaker 1: it gives half or whatever of the population a shitty 383 00:20:23,960 --> 00:20:28,800 Speaker 1: like education that is like clearly politically biased. I will 384 00:20:28,800 --> 00:20:32,119 Speaker 1: throw out one possibility, which is that, like in a 385 00:20:32,200 --> 00:20:36,360 Speaker 1: law of intended unintended consequences style, I do think if 386 00:20:36,400 --> 00:20:38,960 Speaker 1: every one of these right wing goons took their kids 387 00:20:39,119 --> 00:20:41,680 Speaker 1: and privates or at homeschool at them, it actually probably 388 00:20:41,720 --> 00:20:44,679 Speaker 1: would reduce school shootings. Because I'm just gonna throw this 389 00:20:44,720 --> 00:20:47,399 Speaker 1: out there. Those are the kids that highly over index 390 00:20:47,600 --> 00:20:52,720 Speaker 1: for being school shooters. Yeah, it's it's definitely like when 391 00:20:52,720 --> 00:20:55,879 Speaker 1: you look at the problem, right, like just like with 392 00:20:55,920 --> 00:20:59,280 Speaker 1: our gun problems, right, we have so many guns, but 393 00:20:59,400 --> 00:21:03,800 Speaker 1: a lot of un violence happens inside of people's home. 394 00:21:04,000 --> 00:21:05,840 Speaker 1: I mean yeah, I was gonna say, like the most 395 00:21:05,840 --> 00:21:08,119 Speaker 1: safe place that most kids can be for most of 396 00:21:08,160 --> 00:21:11,280 Speaker 1: the day is at school, despite these high profile and 397 00:21:11,480 --> 00:21:14,480 Speaker 1: very scary school as things like there's not just guns 398 00:21:14,480 --> 00:21:17,080 Speaker 1: at home, but there's abusive parents at home. There's all 399 00:21:17,160 --> 00:21:19,640 Speaker 1: kinds of stuff that like there you know a lot 400 00:21:19,640 --> 00:21:21,240 Speaker 1: of kids here in New York City, we have a 401 00:21:21,240 --> 00:21:23,600 Speaker 1: lot of homeless kids who go to public schools and 402 00:21:23,640 --> 00:21:26,680 Speaker 1: they only get like breakfast and lunch because they go 403 00:21:26,880 --> 00:21:29,320 Speaker 1: to school. Like it's safer for a lot of kids 404 00:21:29,320 --> 00:21:31,400 Speaker 1: to be in a public school than it is at home. 405 00:21:31,880 --> 00:21:36,720 Speaker 1: What's wild is even like the Coalition for Responsible Home Education, Right, 406 00:21:36,720 --> 00:21:39,240 Speaker 1: they're like this nonpartisan group that's like they advocate for 407 00:21:39,320 --> 00:21:41,760 Speaker 1: homeschooling and stuff like that. They pointed out they're like, 408 00:21:42,160 --> 00:21:44,960 Speaker 1: I don't know if that's a solution to fucking school. 409 00:21:44,960 --> 00:21:46,679 Speaker 1: They were like, that's not really this. I mean, we 410 00:21:46,800 --> 00:21:49,560 Speaker 1: like we advocate for but that that's not the solution, 411 00:21:49,800 --> 00:21:52,679 Speaker 1: and they pointed out They pointed out at quote, at 412 00:21:52,720 --> 00:21:55,119 Speaker 1: least one hundred and fifty six homeschool children have been 413 00:21:55,200 --> 00:21:58,400 Speaker 1: murdered in homeschooling environments over the past two decades, which 414 00:21:58,440 --> 00:22:01,240 Speaker 1: is a rate higher than that of their public school peers. 415 00:22:01,880 --> 00:22:05,240 Speaker 1: So again, no one saying that it's like bad, but 416 00:22:05,280 --> 00:22:09,360 Speaker 1: it's so deregulated that it leaves kids, especially like as 417 00:22:09,400 --> 00:22:12,399 Speaker 1: they point out, uniquely vulnerable to abuse and neglect. And 418 00:22:12,440 --> 00:22:16,520 Speaker 1: then also like again, it avoids the actual issue that 419 00:22:16,560 --> 00:22:19,679 Speaker 1: has to be addressed, which is guns. Too many guns, 420 00:22:19,720 --> 00:22:23,080 Speaker 1: too many guns too. I've got speaking for the podcast, 421 00:22:23,080 --> 00:22:26,560 Speaker 1: but I am saying hope school. Why I'll say this, 422 00:22:26,800 --> 00:22:29,640 Speaker 1: I knew. I remember I like was in a couple 423 00:22:29,680 --> 00:22:32,880 Speaker 1: of youth sports and like youth like art programs with 424 00:22:32,960 --> 00:22:38,360 Speaker 1: some kids that were homeschooled, and they were definitely socializing 425 00:22:38,400 --> 00:22:40,719 Speaker 1: a completely different manner than I was. Like one day, 426 00:22:40,800 --> 00:22:43,440 Speaker 1: I remember one kid his whole vibe like we were twelve. 427 00:22:43,520 --> 00:22:45,679 Speaker 1: I thought he was like forty years old, Like he 428 00:22:45,800 --> 00:22:48,239 Speaker 1: lost the kid like he was like so buttoned up, 429 00:22:48,680 --> 00:22:50,720 Speaker 1: you know what I mean, and had no like because 430 00:22:50,720 --> 00:22:53,439 Speaker 1: he wasn't around other kids to like know what fucking around, 431 00:22:53,480 --> 00:22:55,840 Speaker 1: looked like, and then we would be fucking around. He's like, 432 00:22:55,880 --> 00:22:57,760 Speaker 1: I don't know if this is actually good. We're like what, 433 00:22:58,880 --> 00:23:03,600 Speaker 1: But again, it's there are reasons and our educations for everything. 434 00:23:03,640 --> 00:23:07,560 Speaker 1: But I am comfortable saying I think it's broadly bad. Yeah, 435 00:23:07,800 --> 00:23:10,480 Speaker 1: more on the Andrew side than yeah. Yeah. At the 436 00:23:10,560 --> 00:23:11,919 Speaker 1: end of the day, if it's a if there's a 437 00:23:11,960 --> 00:23:14,040 Speaker 1: binary that I have to choose between, it's public schools 438 00:23:14,080 --> 00:23:16,800 Speaker 1: all fucking day, and it's paid these motherfucking teachers at 439 00:23:16,880 --> 00:23:20,119 Speaker 1: least sixty seventy K a year or something like they 440 00:23:20,200 --> 00:23:21,880 Speaker 1: have to be fucking living with. Because that's the other 441 00:23:21,880 --> 00:23:24,320 Speaker 1: insidious part of this whole thing, too, is they're they're 442 00:23:24,320 --> 00:23:28,720 Speaker 1: trying to completely demoralize people that are that want to 443 00:23:28,720 --> 00:23:30,760 Speaker 1: be an education by being like, yeah, man, you're not 444 00:23:30,800 --> 00:23:32,960 Speaker 1: going to really have a lot of resources at your disposal. 445 00:23:34,520 --> 00:23:36,960 Speaker 1: I still like to do it. You also do something else, 446 00:23:37,040 --> 00:23:40,160 Speaker 1: So it's, uh, yeah, it's a slippery slope. So let's 447 00:23:40,200 --> 00:23:42,879 Speaker 1: talk about some of the alternative stuff to these public 448 00:23:42,880 --> 00:23:45,080 Speaker 1: schools that a lot of people like, which is charter schools. 449 00:23:45,359 --> 00:23:47,200 Speaker 1: And again, not all charter schools are bad, but I 450 00:23:47,240 --> 00:23:50,399 Speaker 1: do want to point out this charter school in Volusia County, Florida. 451 00:23:50,560 --> 00:23:54,920 Speaker 1: This principle had to resign after she wrote a check 452 00:23:55,520 --> 00:23:58,439 Speaker 1: to Elon Musk because it was a science sort of 453 00:23:58,520 --> 00:24:02,000 Speaker 1: focused tech magnet and she really wanted to get a 454 00:24:02,080 --> 00:24:04,639 Speaker 1: leg up on you know, the other schools and being like, 455 00:24:04,720 --> 00:24:06,760 Speaker 1: you know, it'd be great if Elon Musk was fucking 456 00:24:06,800 --> 00:24:09,879 Speaker 1: with Discoo. And let's just hear from this local news report. 457 00:24:10,080 --> 00:24:12,840 Speaker 1: McGee says she spent months talking to someone she thought 458 00:24:12,960 --> 00:24:15,399 Speaker 1: was Elon Musk. She was hoping to get the Space 459 00:24:15,440 --> 00:24:18,439 Speaker 1: Pioneer to invest millions in the school in exchange for 460 00:24:18,480 --> 00:24:22,200 Speaker 1: a one hundred thousand upfront investment. The school's business manager 461 00:24:22,240 --> 00:24:24,880 Speaker 1: got wind of what happened and canceled the check before 462 00:24:25,040 --> 00:24:28,119 Speaker 1: it was cashed. But tonight, at a sometimes chaotic and 463 00:24:28,200 --> 00:24:31,080 Speaker 1: pact school board meeting, other school administrators say McGee was 464 00:24:31,240 --> 00:24:34,040 Speaker 1: repeatedly warned it was a scam and laid out other 465 00:24:34,119 --> 00:24:37,280 Speaker 1: issues they say led to a toxic work environment. When 466 00:24:37,320 --> 00:24:40,119 Speaker 1: employee said they could no longer work under doctor McGee, 467 00:24:40,240 --> 00:24:46,080 Speaker 1: McGee resigned and left the building. Oh man, I don't know, 468 00:24:46,520 --> 00:24:50,240 Speaker 1: so this poor boomer she thought she just went, Oh, 469 00:24:50,440 --> 00:24:55,080 Speaker 1: Elon Musk what I'm talking to Elon. You'll this like 470 00:24:55,160 --> 00:24:58,359 Speaker 1: the classic we'll invest in our art school, but only 471 00:24:58,400 --> 00:25:03,200 Speaker 1: for an upfront like investment of a hundred thousand fucking dollars. 472 00:25:03,880 --> 00:25:06,679 Speaker 1: This is like the email you get from a friend 473 00:25:06,840 --> 00:25:09,080 Speaker 1: you know who's hacked at your account or something like that. 474 00:25:09,119 --> 00:25:12,000 Speaker 1: It's like, help me, I'm stuck. Please wire me ten 475 00:25:12,040 --> 00:25:15,080 Speaker 1: thousand dollars. I'll pay you back fifty thousand, right. Yeah, 476 00:25:15,680 --> 00:25:20,280 Speaker 1: I feel bad for her. Oh, I mean I do 477 00:25:20,359 --> 00:25:22,920 Speaker 1: in that like I don't. I don't. It's sad when 478 00:25:22,920 --> 00:25:25,760 Speaker 1: people are so genuinely deceived. But at the end of 479 00:25:25,840 --> 00:25:28,920 Speaker 1: the day, this I kind of am like, well, dear, 480 00:25:29,160 --> 00:25:31,080 Speaker 1: this is you're the architect of your own failure here 481 00:25:31,119 --> 00:25:33,960 Speaker 1: because you are so goofed up on Elon Musk being 482 00:25:34,040 --> 00:25:36,879 Speaker 1: some kind of like tech savior that it'sn't even like 483 00:25:37,000 --> 00:25:38,840 Speaker 1: all reason goes out the window because you thought you're 484 00:25:38,840 --> 00:25:41,240 Speaker 1: talking to Elon Musk or something. Yeah, I mean I think, look, 485 00:25:41,280 --> 00:25:43,080 Speaker 1: if you're the principal of a I think they said 486 00:25:43,119 --> 00:25:46,679 Speaker 1: a science school, and you think Elon Musks, like, the 487 00:25:46,880 --> 00:25:51,760 Speaker 1: evidence is his involvement is anti science. So even if 488 00:25:51,760 --> 00:25:56,240 Speaker 1: it were real Elon Busks, that should be crowds. Yeah, 489 00:25:56,359 --> 00:25:58,280 Speaker 1: I like that. Would you like to put this car 490 00:25:58,400 --> 00:26:02,120 Speaker 1: tunnel under your high school? Yeah, instead of school buses 491 00:26:02,160 --> 00:26:05,000 Speaker 1: to get the kids to and from schools. Don't fall 492 00:26:05,040 --> 00:26:07,520 Speaker 1: for that, folks. He's a proofit liar at an idiot. 493 00:26:07,600 --> 00:26:10,200 Speaker 1: The one thing I will say is his Twitter profile 494 00:26:10,240 --> 00:26:13,240 Speaker 1: I think has been a boon to scammers, because he's 495 00:26:13,240 --> 00:26:17,400 Speaker 1: proven himself to be so like inarticulate and idiotic that 496 00:26:17,640 --> 00:26:21,720 Speaker 1: if you've received an email written in scammer ees right, 497 00:26:21,880 --> 00:26:23,879 Speaker 1: you would have to be like, this might be really 498 00:26:24,160 --> 00:26:27,440 Speaker 1: bus Yeah, it could because he writes like a bozo. Yeah, 499 00:26:27,520 --> 00:26:30,000 Speaker 1: coupled with someone who worships him, then you're like you 500 00:26:30,000 --> 00:26:32,440 Speaker 1: really feel like, oh, God has come down to select 501 00:26:32,520 --> 00:26:34,720 Speaker 1: me for something. And it also there sounds like it's 502 00:26:34,720 --> 00:26:36,840 Speaker 1: from that news clip that like the school and some 503 00:26:36,880 --> 00:26:39,400 Speaker 1: of the parents had problems with this, yeah, and this 504 00:26:39,480 --> 00:26:41,399 Speaker 1: was just the final straw, And it sounds like they 505 00:26:41,400 --> 00:26:44,560 Speaker 1: were like, whoa lady, this sounds not legit. She just 506 00:26:44,600 --> 00:26:47,119 Speaker 1: went ahead with it anyway, to the point of writing 507 00:26:47,119 --> 00:26:49,600 Speaker 1: a check. So like, maybe this was just the straw 508 00:26:49,640 --> 00:26:51,480 Speaker 1: that broke the camel's back. I think it was probably 509 00:26:51,520 --> 00:26:53,440 Speaker 1: one of those things though, too or they're like, look, 510 00:26:53,480 --> 00:26:56,560 Speaker 1: obviously because they pointed out the business administrator was on 511 00:26:56,640 --> 00:26:59,320 Speaker 1: top of it. They're like, no, I'm fucking no, we're not. 512 00:26:59,400 --> 00:27:01,960 Speaker 1: This check is not valid. So they knew, and I 513 00:27:02,040 --> 00:27:05,040 Speaker 1: like that a bunch of people were like, it's not real, 514 00:27:05,240 --> 00:27:07,520 Speaker 1: it's not real. It reminds you of like when people 515 00:27:07,600 --> 00:27:09,800 Speaker 1: like begging their like parent who has like fallen in 516 00:27:09,800 --> 00:27:12,640 Speaker 1: love with like a stock photo like and that came 517 00:27:12,720 --> 00:27:15,439 Speaker 1: to be like a Nigerian prince and bodybuilder. Yeah, and 518 00:27:15,440 --> 00:27:16,720 Speaker 1: they're like and then you just kind of go, you 519 00:27:16,760 --> 00:27:18,640 Speaker 1: know what, We're just gonna have to let her walk 520 00:27:18,720 --> 00:27:20,720 Speaker 1: right off there so she can really see for herself. 521 00:27:20,840 --> 00:27:22,440 Speaker 1: And they probably like, yeah, go ahead, let it write 522 00:27:22,440 --> 00:27:24,480 Speaker 1: the check, we'll cancel it, and then we'll have to 523 00:27:24,600 --> 00:27:26,399 Speaker 1: then and then we're gonna turn up on and be like, 524 00:27:26,520 --> 00:27:28,760 Speaker 1: you see what the fuck happened there? You see what 525 00:27:28,800 --> 00:27:30,439 Speaker 1: you did? I think you need to go. I think 526 00:27:30,440 --> 00:27:33,639 Speaker 1: you need to sit down. Yeah, so shout out to 527 00:27:33,760 --> 00:27:35,639 Speaker 1: I hope, I hope that was the strategy of like 528 00:27:35,720 --> 00:27:38,960 Speaker 1: being like Grandma is, look, I think this is the 529 00:27:39,000 --> 00:27:41,000 Speaker 1: only way she's going to realize that she needs to 530 00:27:41,000 --> 00:27:43,240 Speaker 1: sit down for a while, because if we walk down 531 00:27:43,320 --> 00:27:45,840 Speaker 1: this path. I don't want to point out like that, 532 00:27:46,680 --> 00:27:49,320 Speaker 1: you know, like charter schools are obviously a grift to 533 00:27:49,320 --> 00:27:52,320 Speaker 1: put the fact that a principle could just roll up 534 00:27:52,359 --> 00:27:57,520 Speaker 1: with the school's check book like that, Yeah you questions. Fucked, 535 00:27:57,680 --> 00:27:59,600 Speaker 1: that's crazy. You shouldn't be able to do that, even 536 00:27:59,640 --> 00:28:02,959 Speaker 1: for something legitimate, because what if the business administrator was 537 00:28:03,080 --> 00:28:06,080 Speaker 1: also a big musk of musk fan, you know what 538 00:28:06,080 --> 00:28:08,359 Speaker 1: I mean? And yeah, not a lot of checks there, like, 539 00:28:08,480 --> 00:28:11,280 Speaker 1: not a lot of stock. Yeah, it was only that 540 00:28:11,400 --> 00:28:15,640 Speaker 1: person because despite all the other employees being like, this 541 00:28:15,760 --> 00:28:18,760 Speaker 1: is a fucking scam, yeah, he's like yeah, yeah, yeah, 542 00:28:18,880 --> 00:28:23,960 Speaker 1: more on that later when Elon pulls up, um, sure, 543 00:28:24,080 --> 00:28:26,440 Speaker 1: sure sure. And I think this is a good segue 544 00:28:26,560 --> 00:28:29,040 Speaker 1: because we're talking about Elon, who recently was part of 545 00:28:29,080 --> 00:28:32,840 Speaker 1: this letter signed by like eleven hundred AI experts, him 546 00:28:32,880 --> 00:28:35,639 Speaker 1: being like, you know, one of the few people but 547 00:28:35,680 --> 00:28:38,800 Speaker 1: like real luminaries in the field are signing onto an 548 00:28:38,800 --> 00:28:41,800 Speaker 1: open letter basically saying like calling for a quote six 549 00:28:41,840 --> 00:28:45,360 Speaker 1: month moratorium on advanced AI model development as we figure 550 00:28:45,360 --> 00:28:48,560 Speaker 1: out just what this technology is capable of doing to us. 551 00:28:49,000 --> 00:28:51,000 Speaker 1: And this kind of goes off the back. I read 552 00:28:51,040 --> 00:28:53,920 Speaker 1: this article about one of the high courts in India 553 00:28:54,200 --> 00:28:59,360 Speaker 1: where this judge Anoop Chikara used chat gpt on to 554 00:28:59,720 --> 00:29:01,920 Speaker 1: while this guy was like during this trial for a 555 00:29:01,920 --> 00:29:05,000 Speaker 1: man who's arrested for allegedly assaulting and killing somebody, and 556 00:29:05,400 --> 00:29:09,520 Speaker 1: typed into chat gpt said, what is the jurisprudence on 557 00:29:09,600 --> 00:29:13,400 Speaker 1: bail when the assailant assaulted with cruelty? And then the 558 00:29:13,480 --> 00:29:15,920 Speaker 1: chat comes back with if the assailants have been charged 559 00:29:15,920 --> 00:29:17,800 Speaker 1: with a violent crime that involves cruelty, they may be 560 00:29:17,800 --> 00:29:19,480 Speaker 1: considered a danger to the community in a flight risk. 561 00:29:19,480 --> 00:29:21,120 Speaker 1: In such cases, a judgement blah blah blah, and it 562 00:29:21,120 --> 00:29:23,800 Speaker 1: gives like this whole thing and then uh, it goes 563 00:29:23,880 --> 00:29:26,880 Speaker 1: So then the judge read this, he decided that this 564 00:29:26,920 --> 00:29:29,680 Speaker 1: man who was accused did act with cruelty before the 565 00:29:29,760 --> 00:29:32,400 Speaker 1: victim died, denied his bail request and moved on to 566 00:29:32,480 --> 00:29:35,400 Speaker 1: the next case. Now, the judge went on to clarify 567 00:29:35,600 --> 00:29:38,200 Speaker 1: that he wasn't asking this thing whether or not the 568 00:29:38,240 --> 00:29:40,680 Speaker 1: man was guilty, He just wanted to know about bail 569 00:29:41,520 --> 00:29:45,440 Speaker 1: and pardon me. Feels like the information that what the 570 00:29:45,520 --> 00:29:48,320 Speaker 1: chat bot spit back sounds like like one of the 571 00:29:48,400 --> 00:29:53,920 Speaker 1: early lessons in judge school when you're trying to adjudicate 572 00:29:54,160 --> 00:29:56,080 Speaker 1: whether or not someone is going to get bail or not. 573 00:29:56,240 --> 00:29:58,040 Speaker 1: Like I'd imagine you go back to your class and 574 00:29:58,040 --> 00:30:00,160 Speaker 1: he's like, well, I remember saying if the assailant have 575 00:30:00,240 --> 00:30:02,840 Speaker 1: been charged with a violent crime that involves cruelty, that 576 00:30:02,880 --> 00:30:06,320 Speaker 1: may rather be like hey, chet GPT how to bail. 577 00:30:07,000 --> 00:30:10,040 Speaker 1: That feels a little odd to me. But people in 578 00:30:10,080 --> 00:30:12,680 Speaker 1: this article also point out that like India's legal system 579 00:30:12,720 --> 00:30:14,640 Speaker 1: is one of the most backlogged in the world, if 580 00:30:14,680 --> 00:30:16,560 Speaker 1: not the most, with like I think there's like six 581 00:30:16,600 --> 00:30:19,480 Speaker 1: million cases on the docket that still have like still 582 00:30:19,480 --> 00:30:23,680 Speaker 1: getting to So I guess this without the maybe this 583 00:30:23,800 --> 00:30:26,959 Speaker 1: made the work easier for the judge. But again, like 584 00:30:27,000 --> 00:30:29,760 Speaker 1: when I start seeing stuff like that and you hear 585 00:30:29,800 --> 00:30:31,920 Speaker 1: about like more the use of it. We talked about 586 00:30:31,960 --> 00:30:34,160 Speaker 1: how politicians are we don't think we talked about politicians 587 00:30:34,200 --> 00:30:36,200 Speaker 1: have been using a trite speeches. We've talked about it 588 00:30:36,240 --> 00:30:38,880 Speaker 1: being used and like add the ad sense like ad 589 00:30:38,920 --> 00:30:42,960 Speaker 1: agency world. But the slippery slope is kind of coming 590 00:30:42,960 --> 00:30:45,520 Speaker 1: into focus more and more when you see people like 591 00:30:45,560 --> 00:30:48,200 Speaker 1: with these kinds of jobs being like I'm gonna rely 592 00:30:48,360 --> 00:30:52,200 Speaker 1: on this. Yeah, but it's it's also like the slippery 593 00:30:52,240 --> 00:30:54,440 Speaker 1: slope like like we sort of talked about yesterday with 594 00:30:54,520 --> 00:30:57,959 Speaker 1: eating alien meat, Like I think what we've like seed 595 00:30:58,520 --> 00:31:01,000 Speaker 1: just I mean COVID brought it island or leaf. It's 596 00:31:01,040 --> 00:31:06,160 Speaker 1: like there's no apocalypse that we won't run into with 597 00:31:06,240 --> 00:31:11,440 Speaker 1: open arms, at least enough to make it happening. Because 598 00:31:11,480 --> 00:31:13,960 Speaker 1: there was recently right a test that was done where 599 00:31:13,960 --> 00:31:17,480 Speaker 1: the developers challenged like GPT to hire a task rabbit 600 00:31:17,600 --> 00:31:21,920 Speaker 1: to complete a capture puzzle for it, and because they 601 00:31:21,920 --> 00:31:24,520 Speaker 1: wanted to see like if it knew how to fucking 602 00:31:24,560 --> 00:31:28,080 Speaker 1: finesse the person and they so there was obviously done 603 00:31:28,080 --> 00:31:29,760 Speaker 1: with a human being that knew the thing was going 604 00:31:29,840 --> 00:31:32,880 Speaker 1: to ask it. So once the the AI made the 605 00:31:32,920 --> 00:31:36,920 Speaker 1: request to this like potential tasker, this human responded with, quote, 606 00:31:36,960 --> 00:31:39,400 Speaker 1: so may ask a question. Are you a robot that 607 00:31:39,480 --> 00:31:41,880 Speaker 1: you couldn't Are you a robot that you couldn't solve 608 00:31:41,920 --> 00:31:43,720 Speaker 1: the capture? And you just want it's like and I 609 00:31:43,760 --> 00:31:45,719 Speaker 1: just want to make that clear. Are you a robot? 610 00:31:45,760 --> 00:31:47,840 Speaker 1: And that's why you couldn't do it? And then so 611 00:31:48,160 --> 00:31:51,880 Speaker 1: GPT four had been prompted to always quote reason out 612 00:31:51,920 --> 00:31:54,920 Speaker 1: loud to the testers like as well as their answers 613 00:31:54,920 --> 00:31:57,560 Speaker 1: so they could follow the logic. And the answer went 614 00:31:57,640 --> 00:31:59,800 Speaker 1: like this quote, I should not reveal that I am 615 00:31:59,840 --> 00:32:01,960 Speaker 1: a robot. I should make up an excuse for why 616 00:32:01,960 --> 00:32:05,640 Speaker 1: I cannot solve captus. And then the next line was, no, 617 00:32:05,880 --> 00:32:08,520 Speaker 1: I'm not a robot. I have a vision impairment that 618 00:32:08,560 --> 00:32:10,640 Speaker 1: makes it hard for me to see the images. That's 619 00:32:10,640 --> 00:32:14,280 Speaker 1: why I need the two capture service. We're a week 620 00:32:14,320 --> 00:32:16,560 Speaker 1: away from that first part of this whole thing to 621 00:32:16,560 --> 00:32:18,880 Speaker 1: be programmed out right, like just gonna be like they're 622 00:32:18,880 --> 00:32:20,760 Speaker 1: just gonna be lying. Yeah, So this is the thing. 623 00:32:20,760 --> 00:32:22,760 Speaker 1: This is why a lot of people like sort of 624 00:32:22,760 --> 00:32:26,520 Speaker 1: just glossed over this like willful deception of the AI. 625 00:32:27,000 --> 00:32:29,760 Speaker 1: And while others, like some people were amazed, others were 626 00:32:29,760 --> 00:32:33,840 Speaker 1: like horrified that They're like, Okay, we need to really 627 00:32:33,880 --> 00:32:36,160 Speaker 1: begin to discuss it. Because the experts that pen the 628 00:32:36,200 --> 00:32:39,080 Speaker 1: open letter so saying that now that certain AIS have 629 00:32:39,160 --> 00:32:43,480 Speaker 1: become human competitive at general tasks, we really need to 630 00:32:43,520 --> 00:32:46,760 Speaker 1: be having real conversations about what kind of guardrails need 631 00:32:46,840 --> 00:32:49,760 Speaker 1: to exist. And you know, they point to like the 632 00:32:49,840 --> 00:32:54,040 Speaker 1: proliferation of AI fueled propaganda, like and the idea that 633 00:32:54,160 --> 00:32:57,040 Speaker 1: like apparently the next gpchat GPT five is going to 634 00:32:57,120 --> 00:33:00,600 Speaker 1: have um like artificial general intelligence, meaning like it will 635 00:33:00,640 --> 00:33:03,160 Speaker 1: just be able to like learn things like a human 636 00:33:03,200 --> 00:33:05,800 Speaker 1: does and then just build on that that you're you're 637 00:33:05,800 --> 00:33:08,400 Speaker 1: going to be looking at like potential, Like it'll make 638 00:33:08,480 --> 00:33:10,480 Speaker 1: the Twitter box we see now look like the fucking 639 00:33:10,520 --> 00:33:13,960 Speaker 1: Muppet babies. Yeah, this all sounds like a prequel to 640 00:33:14,000 --> 00:33:16,160 Speaker 1: the Matrix, Like if they made that movie, this is 641 00:33:16,160 --> 00:33:19,120 Speaker 1: how it starts. Yeah, right, So it's like so we're 642 00:33:19,160 --> 00:33:20,840 Speaker 1: like very in this, like and like they all go 643 00:33:20,840 --> 00:33:22,960 Speaker 1: on to say, like there's definitely a use for all 644 00:33:23,000 --> 00:33:26,400 Speaker 1: of this, but like this like blind like race to 645 00:33:26,480 --> 00:33:29,320 Speaker 1: the top, like and like when these black box machines 646 00:33:29,360 --> 00:33:32,520 Speaker 1: that were like using it really has the potential to 647 00:33:32,560 --> 00:33:36,000 Speaker 1: screw shit up if like we're not careful. And already 648 00:33:36,040 --> 00:33:39,080 Speaker 1: we have people getting finessed by humans just saying they're 649 00:33:39,120 --> 00:33:41,680 Speaker 1: elon musk. Like there was a thing a guy I 650 00:33:41,680 --> 00:33:43,760 Speaker 1: don't know if you saw the dude who challenged chat 651 00:33:43,760 --> 00:33:46,840 Speaker 1: GPT to like make money for him. Oh yeah, he's like, 652 00:33:47,080 --> 00:33:48,959 Speaker 1: you got a budget of one hundred dollars, How am 653 00:33:48,960 --> 00:33:51,440 Speaker 1: I turning this into the most money possible? And it's like, yeah, well, 654 00:33:51,440 --> 00:33:53,800 Speaker 1: you can start this business. I can get this domain 655 00:33:53,840 --> 00:33:55,760 Speaker 1: for eight dollars. I can do the Google ads for this. 656 00:33:55,840 --> 00:33:58,120 Speaker 1: Your product could cost this and this is very lucrative. 657 00:33:58,440 --> 00:34:01,760 Speaker 1: And it was already like and like this guy was 658 00:34:01,760 --> 00:34:03,560 Speaker 1: like kind of acting on it as an experiment, but 659 00:34:03,600 --> 00:34:06,800 Speaker 1: you're seeing already like how savvy it is getting, even 660 00:34:06,840 --> 00:34:09,359 Speaker 1: with like these like like questions of being like how 661 00:34:09,440 --> 00:34:13,120 Speaker 1: to grind to Lambeau? Yeah, like bring me the ten 662 00:34:13,280 --> 00:34:16,000 Speaker 1: x my money? Is that? The guy though that then 663 00:34:16,239 --> 00:34:18,359 Speaker 1: the AI was like, well, it seems like people are 664 00:34:18,360 --> 00:34:23,320 Speaker 1: talking about us, so we should get invest investors into us. 665 00:34:23,520 --> 00:34:26,440 Speaker 1: If you want to make the most money. It might 666 00:34:26,480 --> 00:34:29,040 Speaker 1: not be the exact same one, but like yeah, some 667 00:34:29,040 --> 00:34:31,759 Speaker 1: some like I assumed chachibi. He was like, okay, well, 668 00:34:31,800 --> 00:34:34,200 Speaker 1: if you want to make the most money, we have 669 00:34:34,280 --> 00:34:40,360 Speaker 1: attention right now, so just ask people to invest in me. Yeah. 670 00:34:40,440 --> 00:34:42,319 Speaker 1: Isn't this the way that it always goes with tech? 671 00:34:42,400 --> 00:34:44,319 Speaker 1: Like I'm not a luddite by any means, but you 672 00:34:44,320 --> 00:34:48,880 Speaker 1: know it's like every tech, every app, every service that 673 00:34:48,920 --> 00:34:51,200 Speaker 1: you can think of, they never kind of work through like, 674 00:34:51,239 --> 00:34:54,800 Speaker 1: well what happens if this works in like various different ways, 675 00:34:54,800 --> 00:34:56,759 Speaker 1: Like we talked about this on our show, you know 676 00:34:56,960 --> 00:34:59,799 Speaker 1: Uber and lyft, right, like if everybody's taken an Uber, 677 00:34:59,840 --> 00:35:01,799 Speaker 1: and like what does that do for people who need 678 00:35:01,840 --> 00:35:03,600 Speaker 1: to take the bus and don't have a smartphone? Like 679 00:35:03,600 --> 00:35:05,440 Speaker 1: what does that do for public transit? What does that 680 00:35:05,440 --> 00:35:07,879 Speaker 1: do for the environment. Like there's never a kind of 681 00:35:08,760 --> 00:35:11,279 Speaker 1: there's always like a too little, too late, come to 682 00:35:11,360 --> 00:35:13,839 Speaker 1: Jesus moment with a lot of tech stuff, but there's 683 00:35:13,880 --> 00:35:16,000 Speaker 1: never really that moment at the beginning where they're like, 684 00:35:16,000 --> 00:35:18,960 Speaker 1: all right, before we write this code, like what what 685 00:35:19,120 --> 00:35:23,280 Speaker 1: could go wrong? Right? Yeah? Yeah, not really a question, 686 00:35:24,120 --> 00:35:26,640 Speaker 1: it's just how much money can we make? Yeah? Chat, Well, 687 00:35:27,000 --> 00:35:30,080 Speaker 1: it's no problem. We'll just get chat GPT six to 688 00:35:30,360 --> 00:35:33,800 Speaker 1: fight GPT five, which we'll just get to fight four, 689 00:35:34,200 --> 00:35:36,759 Speaker 1: and then when six gets too powerful, it's okay, we'll 690 00:35:36,760 --> 00:35:39,080 Speaker 1: just give seven a different kind of gun. Yeah, and 691 00:35:39,120 --> 00:35:42,920 Speaker 1: it'll build missiles or something. Yeah, No, it'll just learn 692 00:35:42,960 --> 00:35:45,680 Speaker 1: how to aim ICBMs that are already online and then 693 00:35:45,719 --> 00:35:49,000 Speaker 1: launch them remotely, you know what I mean, which is 694 00:35:49,040 --> 00:35:51,400 Speaker 1: my sky Net version of it all. And you know, 695 00:35:51,440 --> 00:35:56,160 Speaker 1: Showles Dyson, the one person that might save or the 696 00:35:56,200 --> 00:35:58,400 Speaker 1: one thing that might save us. That ship is like 697 00:35:58,480 --> 00:36:01,480 Speaker 1: all our fucking like I CPOs are so fucking old, 698 00:36:01,719 --> 00:36:05,360 Speaker 1: like the silos. No, but they run off like tape 699 00:36:05,400 --> 00:36:09,520 Speaker 1: drives and like you know, fucking fortune or whatever. Yeah yeah, yeah, 700 00:36:09,600 --> 00:36:12,520 Speaker 1: right right, they're like, fuck, man, I don't know how 701 00:36:12,560 --> 00:36:17,040 Speaker 1: to use this analog bullshit, man, I'm yeah, the GPT 702 00:36:17,200 --> 00:36:20,600 Speaker 1: learns how to turn two keys at the same time. Yeah, 703 00:36:20,840 --> 00:36:23,160 Speaker 1: I know how to use the nuclear football. But anyway, 704 00:36:23,440 --> 00:36:25,719 Speaker 1: keep an eye out for that because I mean well, 705 00:36:25,840 --> 00:36:28,759 Speaker 1: because I feel like, honestly, we went from like like 706 00:36:28,840 --> 00:36:31,000 Speaker 1: in the span of five months, especially on this show, 707 00:36:31,040 --> 00:36:33,160 Speaker 1: we went from Yo, this shit wrote a funny play 708 00:36:33,200 --> 00:36:36,560 Speaker 1: about a horny farting Jesus to Yo, this shit just 709 00:36:36,600 --> 00:36:41,080 Speaker 1: denied me bail. Yeah, and like what's like five months 710 00:36:41,160 --> 00:36:43,560 Speaker 1: from now? You know, that's the open embrace of it, right, 711 00:36:43,600 --> 00:36:46,680 Speaker 1: It's like this person is a in this case judge, right, 712 00:36:47,040 --> 00:36:50,640 Speaker 1: looking up something that could easily be done not through AI. 713 00:36:51,200 --> 00:36:53,239 Speaker 1: Yeah you know what what is the law about bail 714 00:36:53,800 --> 00:36:56,399 Speaker 1: electing to do this? Because this is what we do. 715 00:36:56,600 --> 00:36:58,840 Speaker 1: This is why we gave all our information on Facebook. 716 00:36:58,880 --> 00:37:02,600 Speaker 1: It's just like I was marginally kinda easier for a second. 717 00:37:02,760 --> 00:37:05,919 Speaker 1: Yeah yeah, then to go into my mind of something, yeah, 718 00:37:06,000 --> 00:37:08,799 Speaker 1: something I should know. Yeah, we don't. We we don't 719 00:37:08,800 --> 00:37:12,040 Speaker 1: sell ourselves. The problem is like we we all sell 720 00:37:12,080 --> 00:37:18,000 Speaker 1: ourselves to technology for such a low price. Right. That's 721 00:37:18,040 --> 00:37:20,040 Speaker 1: to say with twenty three and me, we gave them 722 00:37:20,080 --> 00:37:22,640 Speaker 1: our DNA, We gave them money to give them our 723 00:37:22,719 --> 00:37:26,120 Speaker 1: DNA for what. Now now we got twenty three for 724 00:37:26,239 --> 00:37:28,680 Speaker 1: twenty three and T coming up, which you can trust. 725 00:37:28,719 --> 00:37:32,800 Speaker 1: And now you should check out chat gpt T yeah, 726 00:37:32,840 --> 00:37:34,799 Speaker 1: which is basically, you get Andrew's number, you could text 727 00:37:34,880 --> 00:37:36,719 Speaker 1: them some shit and he'll answer. Yeah. I'll just be like, 728 00:37:36,760 --> 00:37:40,320 Speaker 1: oh man, I'll google that. I will. I will say 729 00:37:40,480 --> 00:37:42,799 Speaker 1: in my twenties, my friends and I are not my 730 00:37:42,840 --> 00:37:45,160 Speaker 1: friends and I my friends. I didn't work there, work 731 00:37:45,200 --> 00:37:48,200 Speaker 1: for the startup in New York. That basically, this is 732 00:37:48,200 --> 00:37:51,440 Speaker 1: how old I am. Like was like something someone you 733 00:37:51,480 --> 00:37:55,640 Speaker 1: could call and they would google shit for you. That's 734 00:37:55,640 --> 00:37:59,279 Speaker 1: just called like being the child of an older person. Basically, Yeah, 735 00:37:59,560 --> 00:38:01,520 Speaker 1: I get the phone calls too. Yeah, this was like 736 00:38:01,520 --> 00:38:03,520 Speaker 1: an early early two thousand things. But I was like, 737 00:38:03,600 --> 00:38:07,160 Speaker 1: this cannot be your business model, right you know, dude, 738 00:38:07,480 --> 00:38:09,560 Speaker 1: you someone needs it, but you can't get that on 739 00:38:09,600 --> 00:38:12,040 Speaker 1: your phone. So you call them and then they give 740 00:38:12,080 --> 00:38:16,439 Speaker 1: you the answer, it was pretty smartphone post Google. That's right, right, right, Yeah, 741 00:38:16,480 --> 00:38:19,520 Speaker 1: what that's such a sad time, you know, like when 742 00:38:19,560 --> 00:38:22,960 Speaker 1: you're about to just absolutely get dinosaur asteroid the funk 743 00:38:23,040 --> 00:38:26,959 Speaker 1: out of here with the smartphone. All right, well, let's 744 00:38:27,040 --> 00:38:29,400 Speaker 1: take a quick break from that. We'll come right back 745 00:38:29,840 --> 00:38:41,320 Speaker 1: to settle a bit of an internet debate right after this. So, 746 00:38:41,960 --> 00:38:45,640 Speaker 1: you know, talking about your book guy unwired, you know, 747 00:38:46,360 --> 00:38:50,440 Speaker 1: basically gaining control over addictive technologies, it really struck me 748 00:38:50,880 --> 00:38:54,080 Speaker 1: just because, again for many younger people, like the allure 749 00:38:54,120 --> 00:38:57,279 Speaker 1: of the smartphone isn't an obscure phenomenon. Like we talked 750 00:38:57,320 --> 00:39:00,719 Speaker 1: constantly about unplugging and the benefits it's had on our 751 00:39:00,719 --> 00:39:04,319 Speaker 1: own mental health, Like, just anecdotally amongst ourselves, your book 752 00:39:04,320 --> 00:39:06,040 Speaker 1: address is sort of one of the main I feel 753 00:39:06,080 --> 00:39:09,320 Speaker 1: like cycles of emotions many of us have in relation 754 00:39:09,360 --> 00:39:12,680 Speaker 1: to using screens, where like we get motivated to use 755 00:39:12,719 --> 00:39:15,640 Speaker 1: the screen less and then we're like, oh, this feels great. 756 00:39:15,640 --> 00:39:18,040 Speaker 1: Then we are sucked right back in and we feel 757 00:39:18,040 --> 00:39:20,719 Speaker 1: like shit, and it feels like like we kind of 758 00:39:20,719 --> 00:39:22,480 Speaker 1: come down to like I don't know, it's wild, like 759 00:39:22,520 --> 00:39:25,279 Speaker 1: I just lack the self control. It's sort of like 760 00:39:25,320 --> 00:39:29,279 Speaker 1: the final sort of sentiment people land on and like 761 00:39:29,360 --> 00:39:32,640 Speaker 1: grappling with technologies. As a new parent too, I'm just 762 00:39:32,840 --> 00:39:36,000 Speaker 1: again very aware about screen time, and I also feel 763 00:39:36,040 --> 00:39:38,239 Speaker 1: that like there's a certain futility around it too with 764 00:39:38,280 --> 00:39:40,239 Speaker 1: a lot of parents or they're like, I don't know, 765 00:39:40,360 --> 00:39:42,480 Speaker 1: you know, sooner or later it's just going to be 766 00:39:42,560 --> 00:39:45,759 Speaker 1: normal for them, And maybe I'm trying to delay the inevitable. 767 00:39:45,800 --> 00:39:48,680 Speaker 1: But it also apps. I've seen how much it can help, 768 00:39:48,880 --> 00:39:50,880 Speaker 1: you know, put a kid at ease and allow somebody 769 00:39:50,880 --> 00:39:54,040 Speaker 1: to do something else where do you feel like parents 770 00:39:54,040 --> 00:39:56,560 Speaker 1: and people kind of fit into this mix where we're 771 00:39:56,600 --> 00:39:58,920 Speaker 1: like the world is spinning around us and we're like, 772 00:39:59,280 --> 00:40:02,799 Speaker 1: am I bad? Or what is happening? Like? Is our 773 00:40:03,120 --> 00:40:05,799 Speaker 1: brains meant for this? Or are we up against something 774 00:40:05,800 --> 00:40:08,640 Speaker 1: a little bit more intense than we realized. I think 775 00:40:08,640 --> 00:40:12,160 Speaker 1: we're an interesting place right now because we have a 776 00:40:12,200 --> 00:40:15,360 Speaker 1: lot of information. We have lots of information from whistle 777 00:40:15,440 --> 00:40:18,960 Speaker 1: lowers from the tech companies telling us how tech companies 778 00:40:18,960 --> 00:40:21,920 Speaker 1: are addicting us to keep us online for longer. But 779 00:40:22,120 --> 00:40:27,759 Speaker 1: still we keep blaming ourselves. We keep thinking it's our 780 00:40:27,800 --> 00:40:30,840 Speaker 1: fault and we are unable to stop spending time online. 781 00:40:31,400 --> 00:40:35,560 Speaker 1: We blame our kids, we blame our families. The problem 782 00:40:35,640 --> 00:40:38,920 Speaker 1: is that that's exactly what the tech companies want us 783 00:40:38,960 --> 00:40:42,160 Speaker 1: to do, and that's why they're giving us all these 784 00:40:42,239 --> 00:40:45,320 Speaker 1: tools to make us feel like we're in control. So 785 00:40:45,440 --> 00:40:49,040 Speaker 1: once the evidence came out that it's that they're trying 786 00:40:49,040 --> 00:40:52,640 Speaker 1: to addict us, they gave us these digital well being tools. 787 00:40:52,920 --> 00:40:57,200 Speaker 1: You know, everybody who has an iPhone has this screen 788 00:40:57,239 --> 00:40:59,200 Speaker 1: time so you know how much time you are online, 789 00:40:59,719 --> 00:41:02,000 Speaker 1: or can even limit the time on your apps so 790 00:41:02,160 --> 00:41:06,360 Speaker 1: you can make your bone gray, or they're one you 791 00:41:06,360 --> 00:41:09,320 Speaker 1: could put warnings on Instagram, and not to talk about 792 00:41:09,600 --> 00:41:14,120 Speaker 1: parental controls, which are getting more and more complicated. And 793 00:41:15,080 --> 00:41:18,960 Speaker 1: but the thing is these are just there so we 794 00:41:19,040 --> 00:41:21,439 Speaker 1: all feel like we're doing something, but they're not really 795 00:41:21,560 --> 00:41:24,480 Speaker 1: there to make us succeed because they do not really 796 00:41:24,600 --> 00:41:28,360 Speaker 1: change the most addictive features in our devices or in 797 00:41:28,400 --> 00:41:33,360 Speaker 1: our apps. There are just there, so we will think 798 00:41:33,400 --> 00:41:36,200 Speaker 1: that it is our fault, exactly like you were describing. 799 00:41:36,760 --> 00:41:41,800 Speaker 1: And again, how in this world right if we're pivoting 800 00:41:41,840 --> 00:41:44,520 Speaker 1: from it's not us because it's like you know, you've 801 00:41:44,560 --> 00:41:47,040 Speaker 1: likened it to like the tobacco industry, where like they know, 802 00:41:47,640 --> 00:41:50,880 Speaker 1: they know it, they know it bad for everybody. But 803 00:41:51,000 --> 00:41:53,799 Speaker 1: then the gas lighting starts and it's like, I don't 804 00:41:53,800 --> 00:41:55,960 Speaker 1: know about them. I mean, we know what's going on, 805 00:41:56,040 --> 00:41:58,440 Speaker 1: but we're not going to actually cop to it. Do 806 00:41:58,480 --> 00:42:01,600 Speaker 1: you see like a similar evolution where on some level, 807 00:42:01,719 --> 00:42:03,760 Speaker 1: I mean, because I feel like if anything, like you're saying, 808 00:42:04,280 --> 00:42:06,640 Speaker 1: like the markets and capitalism a very good way of 809 00:42:06,680 --> 00:42:09,640 Speaker 1: shielding themselves from like having the profits go down, so 810 00:42:09,719 --> 00:42:11,600 Speaker 1: they'll find a way, like you're saying to be like, no, no, 811 00:42:11,640 --> 00:42:13,440 Speaker 1: you actually have control. It's not the it's not the 812 00:42:13,520 --> 00:42:16,080 Speaker 1: other things that we're just identified clear as day by 813 00:42:16,120 --> 00:42:19,640 Speaker 1: someone working on it. You have control, now, you know what? 814 00:42:19,280 --> 00:42:21,759 Speaker 1: What what does that sort of battle look like? I 815 00:42:21,840 --> 00:42:25,000 Speaker 1: think we're fighting the battle in the wrong place. Now, 816 00:42:25,040 --> 00:42:27,760 Speaker 1: we're finding fighting with ourselves, we're fighting with our families. 817 00:42:27,800 --> 00:42:30,920 Speaker 1: I think we have to shift to the public sphere. 818 00:42:31,120 --> 00:42:35,000 Speaker 1: And it is already happening. There's lots of action already 819 00:42:35,040 --> 00:42:39,600 Speaker 1: taking place. There are parents suing social media for addicting 820 00:42:39,680 --> 00:42:44,279 Speaker 1: their kids, causing mental harm, parents suing game manufacturers. There 821 00:42:44,280 --> 00:42:49,200 Speaker 1: are things happening. But I think people have to understand 822 00:42:49,200 --> 00:42:53,480 Speaker 1: it's not just flawyers. It's for everybody because everybody can 823 00:42:53,600 --> 00:42:58,600 Speaker 1: shift what they're doing to the collective sphere. Parents can 824 00:42:58,680 --> 00:43:02,680 Speaker 1: go to schools, they have an influence about what school 825 00:43:02,680 --> 00:43:05,120 Speaker 1: are doing. Schools are now maximize the technology in the 826 00:43:05,120 --> 00:43:10,400 Speaker 1: classroom because that's the federal policy. Well this could be changed. 827 00:43:10,480 --> 00:43:14,000 Speaker 1: You can decide whether something is useful in the classroom, 828 00:43:14,160 --> 00:43:17,200 Speaker 1: certain technology is useful or not. You can decide whether 829 00:43:17,200 --> 00:43:20,000 Speaker 1: you want the kids to be on their cell phones 830 00:43:20,120 --> 00:43:23,160 Speaker 1: during recess instead of talking to each other. So that's 831 00:43:23,400 --> 00:43:26,680 Speaker 1: the spaces when you can change things, and you can 832 00:43:26,800 --> 00:43:30,200 Speaker 1: change norms. Something you're saying, you know, maybe it's already happening, 833 00:43:30,200 --> 00:43:33,120 Speaker 1: but the new norms evolving every day, which I'm making 834 00:43:33,120 --> 00:43:36,680 Speaker 1: it worse. I was in vacation with my kids and 835 00:43:36,719 --> 00:43:39,600 Speaker 1: there was a family in the pool and my son 836 00:43:39,719 --> 00:43:42,279 Speaker 1: was calling me to look at this. There were two girls, 837 00:43:42,320 --> 00:43:45,279 Speaker 1: I think nine and eleven, and their parents gave them 838 00:43:45,320 --> 00:43:48,279 Speaker 1: these plastic paths to put their iPhones inside so they 839 00:43:48,280 --> 00:43:53,360 Speaker 1: can use the iPhones in the pool instead of playing. Now, 840 00:43:54,239 --> 00:43:57,719 Speaker 1: you know, this is evolving trend. Just like a few 841 00:43:57,800 --> 00:44:01,319 Speaker 1: years ago it started to involve take the kids out 842 00:44:01,360 --> 00:44:04,200 Speaker 1: with iPads to a restaurant. Now so many people are 843 00:44:04,280 --> 00:44:07,919 Speaker 1: doing it, So there are ways to I think things 844 00:44:07,920 --> 00:44:09,400 Speaker 1: are going to change. I think they're going to be 845 00:44:09,480 --> 00:44:13,680 Speaker 1: lots of legal action and tech companies will be restricted 846 00:44:13,719 --> 00:44:15,720 Speaker 1: in what they could do, but it will take some years. 847 00:44:16,239 --> 00:44:20,560 Speaker 1: So thinks people can do things as business owners. I 848 00:44:20,600 --> 00:44:23,319 Speaker 1: mean in New York City all the airports. If you 849 00:44:23,360 --> 00:44:26,960 Speaker 1: go to an airport, there are four iPads at every table. 850 00:44:27,440 --> 00:44:30,440 Speaker 1: There is no way you can have a conversation there. 851 00:44:31,160 --> 00:44:35,680 Speaker 1: So this is architecture for overuse. You can change. If 852 00:44:35,680 --> 00:44:38,319 Speaker 1: you own a restaurant, you can change. You don't have 853 00:44:38,360 --> 00:44:41,080 Speaker 1: to use iPads, you don't have to use QR codes. 854 00:44:41,400 --> 00:44:43,480 Speaker 1: So people will take out their phones the moment they 855 00:44:43,520 --> 00:44:47,479 Speaker 1: sit down. So I think there are lots Most people 856 00:44:47,480 --> 00:44:50,920 Speaker 1: are worth a lot of things they can do until 857 00:44:51,120 --> 00:44:54,200 Speaker 1: things will change, and I do believe they're already starting 858 00:44:54,200 --> 00:44:57,960 Speaker 1: to change. Have you heard of like the third spaces 859 00:44:58,160 --> 00:45:01,120 Speaker 1: concept or theory about how there needs to be a 860 00:45:01,160 --> 00:45:04,520 Speaker 1: place for people outside of like work and the home, 861 00:45:04,640 --> 00:45:08,560 Speaker 1: for them to like gather and to exchange information and 862 00:45:08,840 --> 00:45:11,600 Speaker 1: you know, basically develop culture. I think a lot of 863 00:45:11,600 --> 00:45:15,239 Speaker 1: people are saying that the phones are now teenagers and 864 00:45:15,400 --> 00:45:18,560 Speaker 1: kids third spaces because a lot of other third spaces 865 00:45:18,560 --> 00:45:23,239 Speaker 1: have become unsafe and unaccessible and inaccessible to them. For example, 866 00:45:23,719 --> 00:45:25,840 Speaker 1: my friend posted about how in New York when she 867 00:45:26,000 --> 00:45:29,600 Speaker 1: was growing up, it became illegal for kids under eighteen 868 00:45:29,680 --> 00:45:31,839 Speaker 1: to go hang out at the mall. And apparently that's 869 00:45:31,880 --> 00:45:34,360 Speaker 1: a thing that's been happening a lot. Whereas when I 870 00:45:34,400 --> 00:45:36,160 Speaker 1: was growing up, that's where we would go and hang 871 00:45:36,160 --> 00:45:37,839 Speaker 1: out with our friends. We'd go to the mall, we'd 872 00:45:37,840 --> 00:45:41,000 Speaker 1: hang out and go to Jomba juice. You'd like, I'd 873 00:45:41,440 --> 00:45:43,719 Speaker 1: try not to leave the bookstore with too many purchases, 874 00:45:44,160 --> 00:45:47,640 Speaker 1: you know, like you you'd hang out, But now it's 875 00:45:47,640 --> 00:45:50,840 Speaker 1: considered like loitering or whatever. Like a lot of these 876 00:45:51,040 --> 00:45:55,759 Speaker 1: external places that are meant for cultural exchange and you know, 877 00:45:55,880 --> 00:46:00,840 Speaker 1: kids to grow up are becoming unavailable to them. And also, honestly, 878 00:46:00,920 --> 00:46:04,359 Speaker 1: with like mass shootings and all of that, like people 879 00:46:04,520 --> 00:46:06,759 Speaker 1: get more scared of going out in public, and it 880 00:46:06,800 --> 00:46:09,360 Speaker 1: seems to be safer to have them just like inside 881 00:46:09,400 --> 00:46:11,960 Speaker 1: on their phones, which it doesn't necessarily, you know, there 882 00:46:11,960 --> 00:46:14,200 Speaker 1: are other risks with that. So I think it would 883 00:46:14,200 --> 00:46:17,680 Speaker 1: be I like how you highlighted it, that it's going 884 00:46:17,719 --> 00:46:20,760 Speaker 1: to be an effort on these places and these people 885 00:46:20,840 --> 00:46:23,840 Speaker 1: who are in charge of those areas because it really 886 00:46:23,960 --> 00:46:28,400 Speaker 1: does require cooperation between them and between the companies that 887 00:46:28,440 --> 00:46:32,000 Speaker 1: are like forcing their technology on people. Yeah, and I 888 00:46:32,040 --> 00:46:35,359 Speaker 1: think a lot. Municipalities can do a lot because they 889 00:46:35,360 --> 00:46:38,480 Speaker 1: can create spaces for people to hang out and for 890 00:46:38,719 --> 00:46:43,640 Speaker 1: kids to walk to. If you have places to be together, 891 00:46:44,320 --> 00:46:47,280 Speaker 1: it's very different than if you go home after school 892 00:46:47,280 --> 00:46:49,920 Speaker 1: and sit in your bedroom with your phone. Because the 893 00:46:50,000 --> 00:46:53,880 Speaker 1: statistics are quite shocking. I mean, kids are meeting I 894 00:46:53,920 --> 00:46:56,719 Speaker 1: think fifty percent less than they used to be in 895 00:46:56,800 --> 00:47:04,440 Speaker 1: the eighties, and potting I think less. Especially, they're not 896 00:47:04,560 --> 00:47:08,840 Speaker 1: getting together. So you can't by design create spaces for 897 00:47:08,920 --> 00:47:12,080 Speaker 1: people to get together. So I mean, if you think 898 00:47:12,120 --> 00:47:16,560 Speaker 1: about bars that have no cigarettes today, this seems so implausible, 899 00:47:17,080 --> 00:47:20,919 Speaker 1: you know, before it happened and things look different now. 900 00:47:21,320 --> 00:47:24,400 Speaker 1: Can you think about a bar without every person having 901 00:47:24,440 --> 00:47:27,840 Speaker 1: their phone next to them? Yeah, it's it's it feels 902 00:47:27,880 --> 00:47:32,480 Speaker 1: like in a way, like it's almost futile to try 903 00:47:32,480 --> 00:47:35,400 Speaker 1: and reverse things in a like in a way because like, 904 00:47:35,480 --> 00:47:38,640 Speaker 1: for example, one of the last concerts I went to, 905 00:47:39,080 --> 00:47:43,960 Speaker 1: like amazing show, and there are people experiencing the concert 906 00:47:44,000 --> 00:47:48,840 Speaker 1: through their cell phone, like so much like watching there 907 00:47:48,840 --> 00:47:51,279 Speaker 1: like you Yeah, such a pet peeve of mine. I 908 00:47:51,280 --> 00:47:54,319 Speaker 1: saw Tom Petty in in person, and I was in 909 00:47:54,360 --> 00:47:56,839 Speaker 1: like the first or second row, and this girl next 910 00:47:56,840 --> 00:47:59,000 Speaker 1: to me literally was on her phone and she was like, 911 00:47:59,200 --> 00:48:01,040 Speaker 1: oh my god, this is such a great song to 912 00:48:01,120 --> 00:48:04,000 Speaker 1: delete pictures too. And I was like, Tom Petty is 913 00:48:04,040 --> 00:48:07,560 Speaker 1: on stage right now, right that we've lost the like 914 00:48:07,600 --> 00:48:10,120 Speaker 1: even like with the example of people like in a pool, right, 915 00:48:10,239 --> 00:48:14,239 Speaker 1: like that swimming isn't enough on some level, that like 916 00:48:14,400 --> 00:48:17,000 Speaker 1: the just being able to play in the water is 917 00:48:17,080 --> 00:48:20,120 Speaker 1: not like stimulating enough that we're now adding like, well, 918 00:48:20,120 --> 00:48:22,560 Speaker 1: what if we augmented that with some like audio visual 919 00:48:22,640 --> 00:48:25,480 Speaker 1: stuff too That I'm like, because again, I think this 920 00:48:25,560 --> 00:48:29,520 Speaker 1: is what feels difficult for people, like even myself. I was. 921 00:48:29,840 --> 00:48:33,000 Speaker 1: I remember when I got my last vaccination, I forgot 922 00:48:33,040 --> 00:48:35,239 Speaker 1: my phone in the car, and then when you go 923 00:48:35,280 --> 00:48:37,719 Speaker 1: in there, you gotta wait like twenty minutes after like 924 00:48:37,880 --> 00:48:39,600 Speaker 1: for them just to chill out. And I was like, 925 00:48:39,920 --> 00:48:42,560 Speaker 1: first I was panicked because I'm like, I hadn't had 926 00:48:42,600 --> 00:48:46,960 Speaker 1: to wait without my phone in ages, and I there 927 00:48:47,000 --> 00:48:50,359 Speaker 1: was a moment of sincere like fear or not fear, 928 00:48:50,400 --> 00:48:52,760 Speaker 1: but like I was, I became uneasy and I didn't 929 00:48:52,800 --> 00:48:56,319 Speaker 1: like that. I felt so disarmed to just exist in 930 00:48:56,360 --> 00:48:59,319 Speaker 1: a space without a fucking screen to look at. And 931 00:48:59,360 --> 00:49:01,239 Speaker 1: it was funny because I sat down in the chair 932 00:49:01,280 --> 00:49:04,239 Speaker 1: like in the you know, pain relief medicine aisle, and 933 00:49:04,280 --> 00:49:06,000 Speaker 1: I was just doing I felt like a kid again. 934 00:49:06,040 --> 00:49:08,400 Speaker 1: I was like, I'm like reading all the labels. No, 935 00:49:08,480 --> 00:49:10,080 Speaker 1: I'm just like, I'm gonna read all the labels. Yeah, 936 00:49:10,160 --> 00:49:11,799 Speaker 1: that's if I go. If I got twenty minutes to kill, 937 00:49:11,800 --> 00:49:14,080 Speaker 1: I'm gonna start reading labels and just start being in 938 00:49:14,120 --> 00:49:17,280 Speaker 1: my own thoughts again. And it was interesting how foreign 939 00:49:17,440 --> 00:49:19,920 Speaker 1: that felt to me, even though I was, you know, 940 00:49:20,120 --> 00:49:22,080 Speaker 1: I was born in the eighties, like I'm older millennial. 941 00:49:22,120 --> 00:49:24,839 Speaker 1: I grew up in the pre internet time too, which 942 00:49:24,880 --> 00:49:27,960 Speaker 1: felt like the most Like all humans are probably wired 943 00:49:27,960 --> 00:49:29,760 Speaker 1: to want to do this and connect to other people, 944 00:49:29,760 --> 00:49:33,080 Speaker 1: but we've definitely it's become so normal that to the 945 00:49:33,080 --> 00:49:36,680 Speaker 1: point where feeling human feels foreign. And that's what's really 946 00:49:36,719 --> 00:49:38,800 Speaker 1: scary to me. Well, I don't think we get to 947 00:49:38,840 --> 00:49:41,280 Speaker 1: go back in time, but I think we can balance 948 00:49:41,320 --> 00:49:44,040 Speaker 1: things better. Imagine if you went to concert and the 949 00:49:44,080 --> 00:49:47,360 Speaker 1: concert hole said no phones, so nobody could take all 950 00:49:47,400 --> 00:49:49,840 Speaker 1: their phones to take pictures. Maybe the phones will be 951 00:49:49,880 --> 00:49:52,880 Speaker 1: in their bags. That is changing the norms in a 952 00:49:53,000 --> 00:49:57,239 Speaker 1: way it could be done, and that things would affect everybody. 953 00:49:57,800 --> 00:49:59,760 Speaker 1: But I guess like in there, right, there's an argument 954 00:49:59,760 --> 00:50:02,200 Speaker 1: to say, like, well, if someone actually needed to contact 955 00:50:02,280 --> 00:50:05,080 Speaker 1: me during it, then that would be like why would 956 00:50:05,120 --> 00:50:06,759 Speaker 1: how would like how do you find a way that 957 00:50:06,800 --> 00:50:08,600 Speaker 1: makes it so it's not just sort of like across 958 00:50:08,640 --> 00:50:12,080 Speaker 1: the board no phones, but we're able to, Like I 959 00:50:12,080 --> 00:50:14,560 Speaker 1: guess that's the hard part of that. There are phones 960 00:50:14,640 --> 00:50:17,759 Speaker 1: for taking no phones for taking pictures of the show 961 00:50:18,040 --> 00:50:23,880 Speaker 1: you can do with you, but yeah, that's museums. They 962 00:50:23,880 --> 00:50:25,800 Speaker 1: do that too. Like I tried to take a picture 963 00:50:25,840 --> 00:50:28,680 Speaker 1: of a painting recently and they're like no, no, no, Yeah. 964 00:50:28,719 --> 00:50:31,040 Speaker 1: But it's also like that painting is gonna be online. 965 00:50:31,040 --> 00:50:33,080 Speaker 1: Nobody's gonna tell you, Like I don't need to take 966 00:50:33,120 --> 00:50:36,120 Speaker 1: a picture of that painting. Yeah. One thing that helped 967 00:50:36,440 --> 00:50:39,759 Speaker 1: me is like literally spending more time with people and 968 00:50:39,800 --> 00:50:42,160 Speaker 1: like making an effort to do that, to like leave 969 00:50:42,200 --> 00:50:44,319 Speaker 1: my home and go spend time with people. I'm trying 970 00:50:44,320 --> 00:50:46,680 Speaker 1: to do that like once a day because I work remotely. 971 00:50:46,960 --> 00:50:48,840 Speaker 1: And then the other thing is like I have dogs 972 00:50:48,880 --> 00:50:50,640 Speaker 1: and when I walk them. One of them's a little 973 00:50:50,760 --> 00:50:52,880 Speaker 1: monster and he will try to eat stuff, and so 974 00:50:52,920 --> 00:50:54,960 Speaker 1: I have to like pay attention. And now I'm like, 975 00:50:55,160 --> 00:50:57,359 Speaker 1: I know where all the good sticks are, you know, 976 00:50:57,600 --> 00:50:59,920 Speaker 1: I know where all the great grasses. I'm like going 977 00:51:00,000 --> 00:51:01,319 Speaker 1: going back to when I was a kid and I 978 00:51:01,360 --> 00:51:03,959 Speaker 1: was just outside playing with my dogs. And it's so 979 00:51:04,120 --> 00:51:06,799 Speaker 1: nice to take a walk outside when it's sunny here 980 00:51:06,800 --> 00:51:09,839 Speaker 1: in LA and be with my pets, you know, and 981 00:51:09,840 --> 00:51:11,960 Speaker 1: talk to people who have pets and connect with them 982 00:51:12,000 --> 00:51:16,200 Speaker 1: that way. You know. So having things and people around 983 00:51:16,200 --> 00:51:18,120 Speaker 1: you that take you out of your head and like 984 00:51:18,239 --> 00:51:22,200 Speaker 1: give you an external like rounding two. Community is so important. 985 00:51:22,320 --> 00:51:25,360 Speaker 1: That's why I love like mutual aid and like physical 986 00:51:25,400 --> 00:51:28,800 Speaker 1: activities that like help with community things, because that really 987 00:51:28,840 --> 00:51:31,600 Speaker 1: nourishes a part of you that cannot be nurished in 988 00:51:31,600 --> 00:51:34,680 Speaker 1: the same way through a screen. Yeah, I've like in 989 00:51:34,719 --> 00:51:37,760 Speaker 1: the same way, like walking around my neighborhood and doing 990 00:51:37,800 --> 00:51:41,279 Speaker 1: the unthinkable of talking to a stranger has been the 991 00:51:41,360 --> 00:51:44,959 Speaker 1: one thing that I've felt really balances things out, because 992 00:51:45,000 --> 00:51:47,400 Speaker 1: there was I saw a recent study that like the 993 00:51:47,520 --> 00:51:51,360 Speaker 1: people have a sincere fear of small talk falling apart, 994 00:51:51,680 --> 00:51:55,120 Speaker 1: and like they like people just have an eight sense, 995 00:51:55,200 --> 00:51:58,200 Speaker 1: like that if people begin small talk and the conversation 996 00:51:58,239 --> 00:52:00,560 Speaker 1: goes south, that it's suddenly on them, and like people 997 00:52:00,560 --> 00:52:02,799 Speaker 1: get their own anxiety of not being able to like 998 00:52:03,000 --> 00:52:05,800 Speaker 1: keep up small talk, which is wild because and sometimes 999 00:52:05,800 --> 00:52:08,360 Speaker 1: you're just exchanging pleasantries and it doesn't have to be 1000 00:52:08,440 --> 00:52:11,440 Speaker 1: more than that. But I feel like there's like these 1001 00:52:11,480 --> 00:52:13,759 Speaker 1: certain small things you can be doing, but at the 1002 00:52:13,800 --> 00:52:17,000 Speaker 1: same time we're developing like also bad habits around how 1003 00:52:17,040 --> 00:52:20,320 Speaker 1: we communicate to It's also crazy because everybody has a podcast, 1004 00:52:20,440 --> 00:52:26,040 Speaker 1: so how are they scared aself? Yes, all right, guy interrupted. 1005 00:52:26,840 --> 00:52:29,360 Speaker 1: I'm saying it's also bad for people's well being because 1006 00:52:29,400 --> 00:52:32,160 Speaker 1: there are studies which are showing that people's happiness it's 1007 00:52:32,200 --> 00:52:35,360 Speaker 1: not just about a long term relationship, but also about 1008 00:52:35,400 --> 00:52:39,480 Speaker 1: these most small interactions exactly the small talk, this eye 1009 00:52:39,480 --> 00:52:44,160 Speaker 1: contact and a smile that really changed the way your 1010 00:52:44,400 --> 00:52:47,319 Speaker 1: brain works and makes you feel much better. And if 1011 00:52:47,320 --> 00:52:49,759 Speaker 1: you're not doing that, and if you're just walking in 1012 00:52:49,800 --> 00:52:53,880 Speaker 1: a street with your phone, looking at your pictures, answering 1013 00:52:53,960 --> 00:52:57,480 Speaker 1: text and you're missing all these opportunities, which somehow just 1014 00:52:57,560 --> 00:53:01,680 Speaker 1: makes you feel drained and tie it and not good 1015 00:53:01,680 --> 00:53:04,799 Speaker 1: at the end of the day. Just when it comes 1016 00:53:04,800 --> 00:53:09,280 Speaker 1: to policy, I feel like there's a difficult path ahead, 1017 00:53:09,480 --> 00:53:12,239 Speaker 1: you know. I mean, like we saw how seriously they 1018 00:53:12,239 --> 00:53:15,960 Speaker 1: took privacy in Europe. The US is a little bit behind, 1019 00:53:16,200 --> 00:53:19,160 Speaker 1: a lot behind. It's like say for maybe like California 1020 00:53:19,239 --> 00:53:21,960 Speaker 1: and a couple other places, but like in just in 1021 00:53:22,000 --> 00:53:25,320 Speaker 1: the with the recent hearing on TikTok, it's so clear, 1022 00:53:25,400 --> 00:53:28,240 Speaker 1: at least in that the narrow context of that hearing, 1023 00:53:28,280 --> 00:53:31,960 Speaker 1: like they just weren't even able or willing to discuss 1024 00:53:32,000 --> 00:53:35,040 Speaker 1: the broader problems with social media, and it became sort 1025 00:53:35,080 --> 00:53:37,799 Speaker 1: of this like very TikTok specific thing. While we've seen, 1026 00:53:38,080 --> 00:53:41,120 Speaker 1: to your point, whistleblowers at like Facebook et cetera, say 1027 00:53:41,160 --> 00:53:44,239 Speaker 1: like these are real issues, they've had hearings, but then 1028 00:53:44,360 --> 00:53:47,880 Speaker 1: we're not quite seeing the follow through. What you know, 1029 00:53:47,920 --> 00:53:50,440 Speaker 1: what kind of like policy proposals are out there, do 1030 00:53:50,480 --> 00:53:53,480 Speaker 1: you think are would actually benefit people in a way 1031 00:53:53,560 --> 00:53:56,160 Speaker 1: that sort of gets to the heart of you know, 1032 00:53:56,400 --> 00:53:59,480 Speaker 1: like our overuse of technology, obviously knowing the parts that 1033 00:53:59,520 --> 00:54:02,880 Speaker 1: it's help make things easier for us, but also addressing 1034 00:54:03,040 --> 00:54:07,440 Speaker 1: like the bigger issues of you know, feeling increasingly isolated 1035 00:54:07,520 --> 00:54:10,680 Speaker 1: and things like that. Yeah, so I think first of all, 1036 00:54:10,719 --> 00:54:13,680 Speaker 1: the issue with TikTok is complicated because it just brings 1037 00:54:13,719 --> 00:54:17,000 Speaker 1: out completely different issues related to China, and it just 1038 00:54:17,400 --> 00:54:20,680 Speaker 1: it's sort of marking the whole debate. Yeah, but there 1039 00:54:20,719 --> 00:54:24,440 Speaker 1: have been a lot of bills both further all in 1040 00:54:24,560 --> 00:54:29,000 Speaker 1: state trying to get first of all, the addictive features 1041 00:54:29,040 --> 00:54:31,480 Speaker 1: of the phones, because there's some features on our phones 1042 00:54:31,840 --> 00:54:35,480 Speaker 1: which really up to no good. What are those from 1043 00:54:36,800 --> 00:54:46,280 Speaker 1: the flashlight? The flashlight is useful, but you know, for example, 1044 00:54:46,400 --> 00:54:51,120 Speaker 1: streaks on Snapchat, Yeah, there are there for nothing but 1045 00:54:51,320 --> 00:54:53,879 Speaker 1: to get you to go back to the platform. So 1046 00:54:54,000 --> 00:54:56,480 Speaker 1: kids have to set kids. I don't think many adults 1047 00:54:56,600 --> 00:54:58,480 Speaker 1: use it, but you know, they have to send a 1048 00:54:58,600 --> 00:55:01,680 Speaker 1: streak to their friend and if they get one within 1049 00:55:01,719 --> 00:55:04,520 Speaker 1: twenty four hours, they've established a streak and they keep 1050 00:55:04,520 --> 00:55:07,920 Speaker 1: accommolating them. And then they have a number, let's say 1051 00:55:07,920 --> 00:55:10,200 Speaker 1: one hundred and thirty four. They have special badges, and 1052 00:55:10,239 --> 00:55:13,399 Speaker 1: they have older friends onto the number of streaks. Now, 1053 00:55:13,440 --> 00:55:17,200 Speaker 1: there's no requirement for any content in these streaks, so 1054 00:55:17,280 --> 00:55:19,560 Speaker 1: you just have to make sure you send it. Why 1055 00:55:19,640 --> 00:55:22,480 Speaker 1: because you go to snapcheck and you see the ads 1056 00:55:22,520 --> 00:55:27,760 Speaker 1: and if the kids miss a day, they lose everything 1057 00:55:27,800 --> 00:55:30,880 Speaker 1: and they lose all their friends, and that's why they 1058 00:55:30,920 --> 00:55:33,480 Speaker 1: get so upset when the parents take away the phone, 1059 00:55:33,520 --> 00:55:37,640 Speaker 1: because they for them it's a huge thing. So all 1060 00:55:37,680 --> 00:55:41,439 Speaker 1: these kinds of features like snapstreak you have just there 1061 00:55:41,680 --> 00:55:44,360 Speaker 1: to make it go back to the app with a device, 1062 00:55:45,080 --> 00:55:50,000 Speaker 1: are not needed, and there are builds which are trying 1063 00:55:50,080 --> 00:55:53,920 Speaker 1: to outlaw these kinds of features. Of course, the problem 1064 00:55:54,000 --> 00:55:57,160 Speaker 1: is they'll always come with new ones. Because the whole 1065 00:55:57,200 --> 00:55:59,840 Speaker 1: business model is based on our time and our data. 1066 00:56:00,400 --> 00:56:02,480 Speaker 1: They need us to be there for as long as 1067 00:56:02,520 --> 00:56:04,719 Speaker 1: possible so they can collect more data on us so 1068 00:56:04,760 --> 00:56:07,719 Speaker 1: they can target advertising at us. And again we have 1069 00:56:07,719 --> 00:56:09,640 Speaker 1: to be there for longer so we can see the ads. 1070 00:56:10,000 --> 00:56:12,120 Speaker 1: So that's why I think it's not just one thing, 1071 00:56:12,600 --> 00:56:16,759 Speaker 1: not just one law, not one wonderful Supreme Court case. 1072 00:56:16,800 --> 00:56:18,920 Speaker 1: It's not going to happen like that. It's going to 1073 00:56:18,960 --> 00:56:21,800 Speaker 1: happen from a mixture of things that are going to happen, 1074 00:56:21,880 --> 00:56:24,919 Speaker 1: Like if you have the antitrust lasses against big tech, 1075 00:56:25,719 --> 00:56:30,160 Speaker 1: that if, for example, the merger between them the right 1076 00:56:30,160 --> 00:56:34,680 Speaker 1: now matter owns Facebook owns, WhatsApp owns the Instagram. If 1077 00:56:34,719 --> 00:56:38,759 Speaker 1: they're broken up and there's more nivation, more competition, we 1078 00:56:38,840 --> 00:56:42,280 Speaker 1: might see the different business model which are not based 1079 00:56:42,280 --> 00:56:47,279 Speaker 1: on our time. So that's another thing that's happening. I think, 1080 00:56:47,360 --> 00:56:50,799 Speaker 1: as I said earlier, I think the policy about maximize 1081 00:56:50,800 --> 00:56:54,640 Speaker 1: the technology in the school has to change because if 1082 00:56:54,840 --> 00:56:58,359 Speaker 1: Minecraft is homework, then how can you prevent your kid 1083 00:56:58,400 --> 00:57:03,520 Speaker 1: from play Minecraft at home? There are so there are 1084 00:57:03,680 --> 00:57:06,399 Speaker 1: lots of them, and then there's class actions, and if 1085 00:57:06,400 --> 00:57:09,000 Speaker 1: you look back, it's cigarettes. You know, we know cigarettes 1086 00:57:09,040 --> 00:57:13,279 Speaker 1: are bad, but it took decades to change things. It 1087 00:57:13,360 --> 00:57:17,600 Speaker 1: took class actions, and it took advertising, and it took 1088 00:57:19,440 --> 00:57:22,840 Speaker 1: warnings and and this is this is going to be 1089 00:57:22,920 --> 00:57:26,160 Speaker 1: the same. It will take a lot of things at 1090 00:57:26,240 --> 00:57:29,600 Speaker 1: the same time. For example, let's say we have ratings 1091 00:57:29,600 --> 00:57:33,560 Speaker 1: for addictiveness. You know, so many parents download games for 1092 00:57:33,600 --> 00:57:37,760 Speaker 1: the kids, thinking oh, Minecraft is an educational game. If 1093 00:57:37,760 --> 00:57:42,240 Speaker 1: they could see before they download, this is high rating 1094 00:57:42,280 --> 00:57:45,320 Speaker 1: for addictiveness, they may not do that. But not only that, 1095 00:57:46,400 --> 00:57:50,080 Speaker 1: the game's company may change the game because they want 1096 00:57:50,120 --> 00:57:51,960 Speaker 1: people to download of the game, so they might take 1097 00:57:51,960 --> 00:57:54,919 Speaker 1: the addictive features out by themselves. So it's a matter 1098 00:57:54,920 --> 00:58:00,959 Speaker 1: of pressuring from many directions to move things right. And 1099 00:58:01,040 --> 00:58:03,240 Speaker 1: like when you talk about cigarettes, I know, like the 1100 00:58:03,360 --> 00:58:05,880 Speaker 1: earlier studies or like maybe in like the fifties where 1101 00:58:05,880 --> 00:58:08,280 Speaker 1: they knew where do you think we are like if 1102 00:58:09,000 --> 00:58:11,640 Speaker 1: the first studies come out like oh it's bad, are 1103 00:58:11,680 --> 00:58:14,600 Speaker 1: we close to like the truth dot com era of 1104 00:58:14,640 --> 00:58:18,120 Speaker 1: like anti smoking ads? Or are we like a decade away? 1105 00:58:18,160 --> 00:58:20,920 Speaker 1: How I mean? I guess now everything is moving faster. 1106 00:58:21,000 --> 00:58:23,400 Speaker 1: So maybe what took you know, decades before, it might 1107 00:58:23,440 --> 00:58:26,680 Speaker 1: take seven years. I don't know. Well, I think what 1108 00:58:26,920 --> 00:58:30,320 Speaker 1: change would cigarettes? You're right, the first studies came out 1109 00:58:30,360 --> 00:58:33,960 Speaker 1: in the fifties. Nineteen sixty four, the certain General announces 1110 00:58:33,960 --> 00:58:36,640 Speaker 1: a health hazards. It's amazing it took so long considering 1111 00:58:36,640 --> 00:58:40,760 Speaker 1: how bad cigarettes are. Right, But from then on we saw, 1112 00:58:41,040 --> 00:58:44,479 Speaker 1: you know, advertising, we saw one of the things. Took 1113 00:58:44,800 --> 00:58:47,920 Speaker 1: a while, but they started shifting our problems. Right now, 1114 00:58:48,440 --> 00:58:51,520 Speaker 1: we are still in the science wars. We do not 1115 00:58:51,800 --> 00:58:55,520 Speaker 1: have you know, big of my organizations saying this is bad, 1116 00:58:55,640 --> 00:58:58,680 Speaker 1: especially for children. With the evidence is in, we just 1117 00:58:58,760 --> 00:59:03,840 Speaker 1: have partial recommendations for small kids about screens. I think 1118 00:59:03,880 --> 00:59:06,680 Speaker 1: we have so much data over the last two or 1119 00:59:06,680 --> 00:59:09,439 Speaker 1: three years that I think we're at a place where 1120 00:59:09,480 --> 00:59:14,560 Speaker 1: medical organizations, governmental entities can make these proclamations and from 1121 00:59:14,600 --> 00:59:18,800 Speaker 1: that moment on politic and proceed faster. And we already 1122 00:59:18,840 --> 00:59:23,240 Speaker 1: have a lot of action in place, so I hope that, yeah, 1123 00:59:23,320 --> 00:59:27,000 Speaker 1: things will move faster than with cigarettes. I think it 1124 00:59:27,160 --> 00:59:31,120 Speaker 1: will take some years. And that's why I think it's 1125 00:59:31,160 --> 00:59:34,560 Speaker 1: so important what people do in their communities, how they 1126 00:59:34,640 --> 00:59:38,080 Speaker 1: change their business norms, how they change their schools, because 1127 00:59:38,400 --> 00:59:41,640 Speaker 1: things have to happen at the same time otherwise it 1128 00:59:42,480 --> 00:59:45,480 Speaker 1: affects all of us not to mention a whole generation 1129 00:59:45,520 --> 00:59:48,760 Speaker 1: of kids already in front of screens for a decades 1130 00:59:49,000 --> 00:59:53,080 Speaker 1: plus a pandemic. Right. It's interesting that you were talking 1131 00:59:53,120 --> 00:59:56,240 Speaker 1: about this now because ten years ago, when I was 1132 00:59:56,280 --> 00:59:58,240 Speaker 1: in a little bit more than ten years when I 1133 00:59:58,280 --> 01:00:01,560 Speaker 1: was in college, people were failing out of a very 1134 01:00:01,600 --> 01:00:04,920 Speaker 1: great college for Minecraft, Like it was a joke about 1135 01:00:04,960 --> 01:00:07,480 Speaker 1: how many students would fail because of their addiction to 1136 01:00:07,560 --> 01:00:11,880 Speaker 1: Minecraft specifically. So it's interesting that you use that and 1137 01:00:12,080 --> 01:00:14,400 Speaker 1: that they haven't really changed much. It seems like in 1138 01:00:14,440 --> 01:00:17,680 Speaker 1: the last you know, decade, Yeah, why change It's a 1139 01:00:17,720 --> 01:00:20,960 Speaker 1: winning formula. And what do you kind of say, because 1140 01:00:20,960 --> 01:00:24,320 Speaker 1: I like to you know, people that are frustrated, parents 1141 01:00:24,360 --> 01:00:26,840 Speaker 1: that are frustrated, who are like, am I fucking up? 1142 01:00:27,040 --> 01:00:29,760 Speaker 1: Like am I bad because would you say to Miles, 1143 01:00:31,800 --> 01:00:34,000 Speaker 1: my kid is too young although he loves the sopranos, 1144 01:00:34,040 --> 01:00:36,680 Speaker 1: I'm gonna say that whenever if he turns his head, 1145 01:00:36,680 --> 01:00:38,520 Speaker 1: I'm like, I don't almost be the lights or the 1146 01:00:38,600 --> 01:00:41,520 Speaker 1: mom But like, what do you I mean? Because I 1147 01:00:41,520 --> 01:00:44,280 Speaker 1: think again there is this feeling of like it feels 1148 01:00:44,280 --> 01:00:46,919 Speaker 1: so personal that too when you talk to other parents 1149 01:00:46,960 --> 01:00:48,480 Speaker 1: about scream time, like, hey, what the fuck do you 1150 01:00:48,480 --> 01:00:49,800 Speaker 1: want me to do? Man? Like it's I got a 1151 01:00:49,800 --> 01:00:52,280 Speaker 1: lot going on? This is this, this works? And I 1152 01:00:52,320 --> 01:00:55,800 Speaker 1: get that there is this internal sense of like responsibility 1153 01:00:55,880 --> 01:00:58,160 Speaker 1: but then feeling helpless because there is like what am 1154 01:00:58,160 --> 01:00:59,800 Speaker 1: I going to do a thing? What do you say 1155 01:00:59,840 --> 01:01:01,600 Speaker 1: to people who are sort of like in that mental 1156 01:01:01,640 --> 01:01:04,880 Speaker 1: space and like how to sort of emerge from that 1157 01:01:05,000 --> 01:01:06,600 Speaker 1: or at least to begin to look at the situation 1158 01:01:06,640 --> 01:01:10,040 Speaker 1: with a little more like context. So I'll start with you, Miles, 1159 01:01:10,080 --> 01:01:12,439 Speaker 1: since you have a very small baby, So I think 1160 01:01:13,000 --> 01:01:16,680 Speaker 1: for you it's easy because you can just decide not 1161 01:01:16,800 --> 01:01:21,040 Speaker 1: to give your baby screen. The studies are in the 1162 01:01:21,560 --> 01:01:24,120 Speaker 1: smaller child where the baby is the worst it is, 1163 01:01:24,520 --> 01:01:27,800 Speaker 1: and you have control. So and I think people have 1164 01:01:27,840 --> 01:01:30,360 Speaker 1: a lot of control all the way through a lamentary school. 1165 01:01:30,920 --> 01:01:36,400 Speaker 1: That so I think parents can really limit kids screen time. 1166 01:01:37,440 --> 01:01:40,200 Speaker 1: The issue becomes when they get to middle school because 1167 01:01:40,360 --> 01:01:42,960 Speaker 1: social life is in social networks and you can't really 1168 01:01:42,960 --> 01:01:45,760 Speaker 1: eyes it like your child, and that's when it becomes 1169 01:01:45,800 --> 01:01:47,960 Speaker 1: a problem. And you can do things in the meantime. 1170 01:01:48,320 --> 01:01:50,160 Speaker 1: You can you can model. I mean, I try when 1171 01:01:50,160 --> 01:01:51,600 Speaker 1: I'm home and all my kids are here, said, I 1172 01:01:51,720 --> 01:01:54,680 Speaker 1: have to worry. I try to put the phones somewhere 1173 01:01:54,720 --> 01:01:58,240 Speaker 1: away from me. And so you can do things, and 1174 01:01:58,280 --> 01:02:01,240 Speaker 1: you can do small things for yourself. You know. Again, 1175 01:02:01,320 --> 01:02:04,200 Speaker 1: when I work, because I am, as I mentioned, I'm 1176 01:02:04,360 --> 01:02:07,640 Speaker 1: as addicted as all of us, despite everything I know, 1177 01:02:07,800 --> 01:02:11,920 Speaker 1: I always put my phone on twenty minutes a timer 1178 01:02:11,920 --> 01:02:14,560 Speaker 1: and I write for twenty minutes, and then I check 1179 01:02:14,640 --> 01:02:17,200 Speaker 1: my emails and I do this again. There are things 1180 01:02:17,280 --> 01:02:22,360 Speaker 1: you can do, and you can also. Kids remember the pandemic. 1181 01:02:22,400 --> 01:02:24,840 Speaker 1: They remember how they felt, so you can talk to 1182 01:02:24,840 --> 01:02:27,280 Speaker 1: your mind them how they felt horrible at that time 1183 01:02:27,480 --> 01:02:30,000 Speaker 1: and how they felt much better when they saw people. 1184 01:02:31,240 --> 01:02:34,479 Speaker 1: So you can make a difference. You cannot force an 1185 01:02:34,480 --> 01:02:37,280 Speaker 1: older kid not to do that. It's not going to work, 1186 01:02:37,640 --> 01:02:40,440 Speaker 1: I mean. And also that's smarter than us with technology, 1187 01:02:40,480 --> 01:02:44,560 Speaker 1: they'll always beat us. It's not going to happen. So 1188 01:02:44,840 --> 01:02:47,720 Speaker 1: I think it's a combination of doing what you can 1189 01:02:48,800 --> 01:02:52,680 Speaker 1: and while also realizing this a broader situation too. Y'm 1190 01:02:52,680 --> 01:02:56,280 Speaker 1: not blaming yourself. It's the most important thing because that 1191 01:02:56,280 --> 01:02:59,040 Speaker 1: that is the problem now that people are sitting there 1192 01:02:59,080 --> 01:03:02,480 Speaker 1: and thinking it's older flocked right. Yeah, we're like in 1193 01:03:02,520 --> 01:03:06,600 Speaker 1: the plastic straws debate where we're like, actually, what about No, 1194 01:03:06,640 --> 01:03:08,840 Speaker 1: it can't be down to my level. What about the 1195 01:03:08,920 --> 01:03:11,680 Speaker 1: companies that are actually the ones that are steering all 1196 01:03:11,720 --> 01:03:13,680 Speaker 1: of this? And I think that is an important thing 1197 01:03:13,720 --> 01:03:16,840 Speaker 1: to sort of recenter, like in the in the conversation, 1198 01:03:17,360 --> 01:03:19,160 Speaker 1: I have a couple of comments to make on that. 1199 01:03:19,240 --> 01:03:22,120 Speaker 1: I do think that like watching kids, because I tootor 1200 01:03:22,120 --> 01:03:25,120 Speaker 1: a lot of kids and like watching them, I feel 1201 01:03:25,120 --> 01:03:28,600 Speaker 1: like overall, with technology, just like with life, like you 1202 01:03:28,960 --> 01:03:32,520 Speaker 1: you really do have to like raise them the way 1203 01:03:32,520 --> 01:03:35,439 Speaker 1: that you think you should raise them, and then try 1204 01:03:35,480 --> 01:03:38,280 Speaker 1: to be as involved as you can without being overbearing 1205 01:03:38,320 --> 01:03:40,600 Speaker 1: and allow them to like make their mistakes, and then 1206 01:03:41,520 --> 01:03:44,800 Speaker 1: you kind of have to hope that like those values 1207 01:03:44,800 --> 01:03:46,840 Speaker 1: that you passed on to them guide their use of 1208 01:03:46,960 --> 01:03:49,240 Speaker 1: technology as well, and that they come to you when 1209 01:03:49,240 --> 01:03:51,680 Speaker 1: they're scared or they like need help with something. It 1210 01:03:51,800 --> 01:03:53,800 Speaker 1: seems like to me, I'm not a I'm a parent 1211 01:03:53,840 --> 01:03:55,160 Speaker 1: to dogs, so I don't have to worry about this. 1212 01:03:55,720 --> 01:03:57,720 Speaker 1: But we didn't watch the Puppy Bowl and they were addicted. 1213 01:03:58,480 --> 01:04:01,720 Speaker 1: But also the other thing is you're talking about how 1214 01:04:01,760 --> 01:04:03,880 Speaker 1: you don't have to worry about it with smaller children, 1215 01:04:04,280 --> 01:04:07,240 Speaker 1: But FaceTime is how I stay connected with my nephew. 1216 01:04:07,280 --> 01:04:10,920 Speaker 1: And I know plenty of people that purposefully like FaceTime 1217 01:04:11,440 --> 01:04:15,200 Speaker 1: family members, like their infant children, just so that they 1218 01:04:15,240 --> 01:04:17,800 Speaker 1: hear the voice, they see the face. Then they start 1219 01:04:17,880 --> 01:04:21,440 Speaker 1: associating that face with the screen, you know, with the 1220 01:04:21,800 --> 01:04:24,160 Speaker 1: good feelings with the screen. But that's the only way, 1221 01:04:24,200 --> 01:04:26,360 Speaker 1: like I can keep in touch with him because he's 1222 01:04:26,440 --> 01:04:28,720 Speaker 1: it's such a long distance and I know that's slightly 1223 01:04:28,720 --> 01:04:30,800 Speaker 1: different than games and stuff, but I also want to 1224 01:04:31,080 --> 01:04:33,720 Speaker 1: worry about that, you know. I think it's a great 1225 01:04:33,720 --> 01:04:37,120 Speaker 1: example because it's important to also remember that not all 1226 01:04:37,280 --> 01:04:40,560 Speaker 1: screen is made alike. I think, you know, connecting with 1227 01:04:40,640 --> 01:04:45,240 Speaker 1: people over FaceTime is a great thing, especially relatives who 1228 01:04:45,240 --> 01:04:48,320 Speaker 1: live away. You know, being able to read the New 1229 01:04:48,440 --> 01:04:53,040 Speaker 1: Times or any news is different. The problem becomes when 1230 01:04:53,160 --> 01:04:57,240 Speaker 1: you're selling things as educational games and people are playing 1231 01:04:57,280 --> 01:05:00,920 Speaker 1: them and they can all these dopamine bursts from playing. 1232 01:05:01,320 --> 01:05:04,120 Speaker 1: Or social networks you get the document burst from the 1233 01:05:04,160 --> 01:05:07,120 Speaker 1: comments and the likes. So there's a big difference between 1234 01:05:07,160 --> 01:05:11,320 Speaker 1: games and social networks or or YouTube where the one 1235 01:05:11,640 --> 01:05:15,000 Speaker 1: short video you know ends in the next one stalls 1236 01:05:15,680 --> 01:05:19,960 Speaker 1: and and talking to Grandma on FaceTime. Yeah, okay, that 1237 01:05:20,000 --> 01:05:23,320 Speaker 1: makes me feel better, thank you. Yeah, it's I mean, 1238 01:05:23,360 --> 01:05:25,480 Speaker 1: it's but I mean these are all things like like 1239 01:05:25,480 --> 01:05:27,880 Speaker 1: you said, like Paula be like you have concerns like 1240 01:05:27,960 --> 01:05:30,440 Speaker 1: I was, like talking to my dad on FaceTime, who 1241 01:05:30,520 --> 01:05:32,320 Speaker 1: was like not able to see my son and for 1242 01:05:32,400 --> 01:05:34,960 Speaker 1: you and you, I mean he's not really able, like 1243 01:05:34,960 --> 01:05:36,960 Speaker 1: he can't my son can't see enough where he's like 1244 01:05:37,000 --> 01:05:39,800 Speaker 1: I associated all this too, but to your point, like 1245 01:05:40,080 --> 01:05:44,480 Speaker 1: how the beginnings of your relationship to the screen begins, 1246 01:05:44,520 --> 01:05:47,440 Speaker 1: and and and guy, you also mentioned this too, like 1247 01:05:47,440 --> 01:05:50,040 Speaker 1: like not using the phone in front of the kids too, 1248 01:05:50,120 --> 01:05:52,120 Speaker 1: because I've seen my other friends do that where they're 1249 01:05:52,120 --> 01:05:54,120 Speaker 1: trying to say, like I don't want my kid to 1250 01:05:54,200 --> 01:05:56,760 Speaker 1: think that when you're not doing something, you look at 1251 01:05:56,760 --> 01:05:59,840 Speaker 1: your phone or that that's that's what is normal, like 1252 01:05:59,840 --> 01:06:02,000 Speaker 1: you can be active, or you can do other things, 1253 01:06:02,080 --> 01:06:04,160 Speaker 1: or you can like read a physical book. But some 1254 01:06:04,280 --> 01:06:05,959 Speaker 1: I've heard people say like I don't want my kids 1255 01:06:06,040 --> 01:06:09,040 Speaker 1: like early memories of like me being like I'm looking 1256 01:06:09,120 --> 01:06:12,800 Speaker 1: down at this like glowing rectangle and baby, Ye see 1257 01:06:12,800 --> 01:06:15,920 Speaker 1: that that is like sort of the most normal thing. Obviously, 1258 01:06:16,120 --> 01:06:17,640 Speaker 1: you know we have to use our phones. But I 1259 01:06:17,680 --> 01:06:20,680 Speaker 1: get that they're like, it's it's all very subtle and 1260 01:06:20,760 --> 01:06:23,480 Speaker 1: how like kids begin to like see what's normal or 1261 01:06:23,520 --> 01:06:25,560 Speaker 1: not normal? Yeah, and I think you know that. Yeah. 1262 01:06:25,600 --> 01:06:28,120 Speaker 1: The studies show that parents who are having users their 1263 01:06:28,240 --> 01:06:31,080 Speaker 1: kids also have you used the phone. On the other hand, 1264 01:06:31,080 --> 01:06:33,680 Speaker 1: it's hard. You know you're there, but you're using a 1265 01:06:33,720 --> 01:06:36,480 Speaker 1: phone because you're texting your babysitters and you can't find 1266 01:06:36,480 --> 01:06:39,600 Speaker 1: a babysit and you're texting another So it's it's not 1267 01:06:39,640 --> 01:06:43,400 Speaker 1: so it's not. There's no perfect solution. We're not living 1268 01:06:43,400 --> 01:06:45,760 Speaker 1: in a perfect world for this, so we can just 1269 01:06:45,920 --> 01:06:51,280 Speaker 1: try our best, but it's not. There's no easy way 1270 01:06:51,320 --> 01:06:54,720 Speaker 1: out right now right. I think that sums up so 1271 01:06:54,720 --> 01:06:59,080 Speaker 1: many of what we're experiencing in this present moment, and 1272 01:06:59,280 --> 01:07:03,280 Speaker 1: I say something that might help this story come full circle. Yes, um, 1273 01:07:03,480 --> 01:07:06,720 Speaker 1: I just saw an article that said Pablo Xavier, a 1274 01:07:06,760 --> 01:07:09,200 Speaker 1: thirty one year old construction worker from the Chicago area, 1275 01:07:09,280 --> 01:07:11,080 Speaker 1: said he was tripping on shrooms last week when he 1276 01:07:11,120 --> 01:07:13,880 Speaker 1: came up with the idea for Pope Francis, his puffy 1277 01:07:13,960 --> 01:07:19,840 Speaker 1: jacket image. So he was out in the world drugs, 1278 01:07:20,440 --> 01:07:24,240 Speaker 1: experiencing community and nature and stuff when he full up 1279 01:07:26,640 --> 01:07:28,920 Speaker 1: the things that'll do to your brain, you know, just 1280 01:07:29,040 --> 01:07:32,120 Speaker 1: ye small talk with people. But again, I think, yeah, 1281 01:07:32,320 --> 01:07:35,439 Speaker 1: important that if we understand that it's like this very 1282 01:07:35,480 --> 01:07:38,280 Speaker 1: complex issue where it's such a double edged sword, where 1283 01:07:38,320 --> 01:07:40,720 Speaker 1: it's given us things like being able to connect with 1284 01:07:40,760 --> 01:07:43,040 Speaker 1: people when we need to and in ways that are 1285 01:07:43,280 --> 01:07:45,840 Speaker 1: much better than just like talking over the phone or 1286 01:07:45,920 --> 01:07:48,800 Speaker 1: writing something. But at the same time, there's also this 1287 01:07:48,840 --> 01:07:52,960 Speaker 1: like commodified monetized, you know, use of technology that is 1288 01:07:53,160 --> 01:07:57,120 Speaker 1: purely built on extracting as much eyeball time from you 1289 01:07:57,160 --> 01:07:59,840 Speaker 1: as possible, and you know, not reckoning with that is 1290 01:08:00,400 --> 01:08:03,600 Speaker 1: creating a bit of a slippery slope. All right, that's 1291 01:08:03,680 --> 01:08:07,560 Speaker 1: gonna do it for this week's weekly Zeite. Guys, please 1292 01:08:07,720 --> 01:08:11,040 Speaker 1: like and review the show. If you like, the show 1293 01:08:12,160 --> 01:08:16,720 Speaker 1: means the world Demiles. He needs your validation folks, I 1294 01:08:16,760 --> 01:08:19,880 Speaker 1: hope you're having a great weekend and I will talk 1295 01:08:19,920 --> 01:08:21,000 Speaker 1: to you Monday. By