1 00:00:00,560 --> 00:00:03,480 Speaker 1: Hello the Internet, and welcome to Season to fifty nine, 2 00:00:03,520 --> 00:00:06,920 Speaker 1: episode three of Dirt Day Least Like Day production of 3 00:00:07,000 --> 00:00:09,520 Speaker 1: I Heart Radio. This is a podcast where we take 4 00:00:09,560 --> 00:00:13,560 Speaker 1: a deep dive into America's shared consciousness. And it is Wednesday, October, 5 00:00:16,400 --> 00:00:21,360 Speaker 1: no time. It is National Kentucky Day, National LT Center 6 00:00:21,520 --> 00:00:26,960 Speaker 1: Awareness Day, National Seafood Biss Day, Hagfish Day, Supporting no 7 00:00:27,120 --> 00:00:29,840 Speaker 1: not fun, your local Chamber of Commerce, fuck them, Medical 8 00:00:29,880 --> 00:00:34,520 Speaker 1: Assistance Recognition Day, and Broad Day us A broad Day, 9 00:00:34,600 --> 00:00:37,000 Speaker 1: didn't We have recently have a bra less day like 10 00:00:37,040 --> 00:00:40,320 Speaker 1: a day, Yes, but for this time is Breast Reconstruction 11 00:00:40,360 --> 00:00:43,280 Speaker 1: Awareness because October breast cancer awareness, so a lot of 12 00:00:43,280 --> 00:00:47,400 Speaker 1: breast cancer themed day. Yeah, yeah, I mean that's what 13 00:00:47,479 --> 00:00:50,640 Speaker 1: I immediately assumed. That's what Brad. It wasn't like a 14 00:00:50,680 --> 00:00:55,560 Speaker 1: surfer holiday bra like bra No. Well, my name is 15 00:00:55,680 --> 00:01:01,760 Speaker 1: Jack O'Brien a K M M. Bought a fucking twelve foot, 16 00:01:01,880 --> 00:01:08,280 Speaker 1: which I bought a fucking twelve foot which, yeah, I 17 00:01:08,319 --> 00:01:12,560 Speaker 1: bought a fucking twelve foot which that is courtesy of 18 00:01:12,720 --> 00:01:15,200 Speaker 1: milk Steak on the discord to the tune of Season 19 00:01:15,240 --> 00:01:17,360 Speaker 1: of the Witch, which is a song that I get 20 00:01:17,360 --> 00:01:19,880 Speaker 1: a case. I've got multiple a case from and I 21 00:01:19,920 --> 00:01:23,520 Speaker 1: hadn't heard it before the first a K I think 22 00:01:23,520 --> 00:01:26,679 Speaker 1: from Christy Amagucci Man and now it is in the 23 00:01:26,800 --> 00:01:30,759 Speaker 1: rotation on in my playlist. I do like it by Donovan. 24 00:01:32,680 --> 00:01:34,440 Speaker 1: My mom was I remember that was one of the 25 00:01:34,480 --> 00:01:36,600 Speaker 1: first bands. My mom was like, you should check out 26 00:01:36,640 --> 00:01:39,360 Speaker 1: this band Donovan, And I was like, what the funk? 27 00:01:39,400 --> 00:01:43,080 Speaker 1: When did you start giving music recommendations? But that was like, 28 00:01:43,240 --> 00:01:45,039 Speaker 1: that was a very big moment for me because my 29 00:01:45,040 --> 00:01:47,000 Speaker 1: mom of until then was only listening to classical music 30 00:01:47,000 --> 00:01:49,160 Speaker 1: and I've listened to some rock ship and she was like, 31 00:01:49,200 --> 00:01:51,440 Speaker 1: you should check out of Donovan. I think I only 32 00:01:51,520 --> 00:01:53,680 Speaker 1: knew about Donovan because like there was a feud with 33 00:01:53,800 --> 00:01:56,360 Speaker 1: Bob Dylan at some point um, and I was like 34 00:01:56,400 --> 00:02:00,040 Speaker 1: a real Dylan head when I was okay, because I 35 00:02:00,120 --> 00:02:03,120 Speaker 1: was cool. Anyways, I'm thrilled to be joined as always 36 00:02:03,160 --> 00:02:06,880 Speaker 1: by my co host, Mr Miles Miles Gray a K. 37 00:02:07,560 --> 00:02:11,040 Speaker 1: What's go got to do? Got to do with it? 38 00:02:11,680 --> 00:02:16,880 Speaker 1: Whats go? When the point histories? And oh shoots, what's 39 00:02:17,000 --> 00:02:20,799 Speaker 1: vang got to do got to do with it? Who 40 00:02:21,040 --> 00:02:26,200 Speaker 1: do some soup? Can ass some flowers? Okay. Shout out 41 00:02:26,200 --> 00:02:30,040 Speaker 1: to Jesse Jericho for that wonderful. What's love got to 42 00:02:30,080 --> 00:02:31,800 Speaker 1: do with it? A k A. Yeah, A lot of 43 00:02:31,800 --> 00:02:34,040 Speaker 1: people are like, wow, just stop. Oil is doing a 44 00:02:34,120 --> 00:02:38,160 Speaker 1: lot and we're calling Van Go go right now? Yeah 45 00:02:38,960 --> 00:02:40,799 Speaker 1: for them for Van Go. I mean, I feel like 46 00:02:40,800 --> 00:02:42,480 Speaker 1: you could have probably put in Van Go, like you 47 00:02:42,480 --> 00:02:44,280 Speaker 1: could have fian Go into the lyrics. But I'm not 48 00:02:44,320 --> 00:02:46,600 Speaker 1: here to give notes. After the fact. I take submissions 49 00:02:46,680 --> 00:02:49,160 Speaker 1: and I bring them to life. Well, miles, we are 50 00:02:49,280 --> 00:02:52,400 Speaker 1: thrilled to be joined in our third and fourth seats 51 00:02:52,400 --> 00:02:55,480 Speaker 1: by two very funny comedians togeather host one of my 52 00:02:55,520 --> 00:03:02,440 Speaker 1: favorite podcasts, Radio Lab. It's Sam Tigger and George Save. Hello, Hello, Hello, 53 00:03:02,720 --> 00:03:05,000 Speaker 1: you know what? Thank you so much for bringing up 54 00:03:05,520 --> 00:03:08,079 Speaker 1: Donovan because we both wanted to come on here and 55 00:03:08,160 --> 00:03:12,200 Speaker 1: discuss our favorite musician, Donovan, right, Yeah, I mean it 56 00:03:12,320 --> 00:03:15,840 Speaker 1: especially for you. Yeah. No, it's an honor to be here. 57 00:03:16,000 --> 00:03:19,239 Speaker 1: I'm so embarrassed that we don't have jingles to share. 58 00:03:19,840 --> 00:03:25,240 Speaker 1: It's really humiliating. I Mean, the thing I always say is, 59 00:03:25,240 --> 00:03:28,120 Speaker 1: what's your what's your goal to karaoke track? Sam, I 60 00:03:28,160 --> 00:03:30,919 Speaker 1: want to know your answer to this, you know, minus 61 00:03:31,000 --> 00:03:35,119 Speaker 1: fear based, which is kind of embarrassing. Fine is Yeah, 62 00:03:35,320 --> 00:03:39,119 Speaker 1: I do Modern Love by David Bowie because I can 63 00:03:39,200 --> 00:03:42,240 Speaker 1: sing it well and it I feel like it has 64 00:03:42,280 --> 00:03:43,680 Speaker 1: a part at the end where you get to kind 65 00:03:43,680 --> 00:03:45,680 Speaker 1: of yell and you get to sort of be loose, 66 00:03:45,920 --> 00:03:48,800 Speaker 1: and it's like it implies that you're being like off 67 00:03:48,800 --> 00:03:51,160 Speaker 1: the cuff, but I I'm I do it every time, 68 00:03:51,760 --> 00:03:56,560 Speaker 1: and so it's I used to always try to do yeah, yeah, 69 00:03:56,760 --> 00:04:00,080 Speaker 1: I used to always try to do um paparazzi it 70 00:04:00,480 --> 00:04:02,760 Speaker 1: my voice just it's like, actually harder than you think. 71 00:04:02,800 --> 00:04:04,160 Speaker 1: And I was like, do I go low or do 72 00:04:04,200 --> 00:04:07,040 Speaker 1: I try to hit the high? Yeah? Actually I would 73 00:04:07,040 --> 00:04:11,320 Speaker 1: always end and a really good vocalist and no one's 74 00:04:11,320 --> 00:04:15,800 Speaker 1: talking about it, and no one talks about it. We're 75 00:04:15,840 --> 00:04:20,280 Speaker 1: here to correct that. Thank you exactly. How about you, George. 76 00:04:20,680 --> 00:04:22,159 Speaker 1: I. I I don't want to be a buzz kill, but 77 00:04:22,200 --> 00:04:24,560 Speaker 1: I really karaoke is one of the few things that 78 00:04:24,640 --> 00:04:30,000 Speaker 1: I really am anti across the board. I I think 79 00:04:30,040 --> 00:04:32,599 Speaker 1: I think similarly to Sam it sphere based and that 80 00:04:32,720 --> 00:04:34,560 Speaker 1: I I think, you know, as much as I have 81 00:04:34,600 --> 00:04:36,880 Speaker 1: many talents and my arsenal singing is not one of them, 82 00:04:36,920 --> 00:04:39,760 Speaker 1: and I feel very insecure whenever I am forced to 83 00:04:39,760 --> 00:04:42,000 Speaker 1: sing into a microphone and then I one time had 84 00:04:42,000 --> 00:04:45,599 Speaker 1: a really traumatic experience where as a joke, I chose 85 00:04:45,640 --> 00:04:47,720 Speaker 1: this song by Pink to sing at a at a 86 00:04:47,800 --> 00:04:52,360 Speaker 1: karaoke event, and then I and then this woman ended 87 00:04:52,440 --> 00:04:54,919 Speaker 1: up kind of starting to sing with me and we 88 00:04:54,960 --> 00:04:56,920 Speaker 1: had a little duet moment and we had kind of 89 00:04:56,920 --> 00:04:59,560 Speaker 1: a moment, and I thought it was very sweet, and 90 00:04:59,560 --> 00:05:02,520 Speaker 1: then at end she was like, I don't want to 91 00:05:02,520 --> 00:05:03,960 Speaker 1: get into that. At the end, she just like looks 92 00:05:04,000 --> 00:05:05,800 Speaker 1: at me and she's like, that song really reminds me 93 00:05:05,839 --> 00:05:08,080 Speaker 1: of my daughter. And then just like started going into 94 00:05:08,120 --> 00:05:10,440 Speaker 1: like very personal stuff that I was not really ready 95 00:05:10,760 --> 00:05:12,920 Speaker 1: to kind of receive at the time. This was in 96 00:05:13,200 --> 00:05:18,240 Speaker 1: rural Maine, so kind of fell in the blaze and 97 00:05:18,360 --> 00:05:20,200 Speaker 1: so I think that was really the nail on the 98 00:05:20,200 --> 00:05:23,000 Speaker 1: coffin for me. But one time someone made me cry 99 00:05:23,040 --> 00:05:26,240 Speaker 1: when they saying Weathering Heights by kids bullish karaoke. Wow, 100 00:05:27,080 --> 00:05:29,440 Speaker 1: so you want to lose something? Yeah, why not? I 101 00:05:29,520 --> 00:05:30,720 Speaker 1: mean it's good to be a good to be an 102 00:05:30,760 --> 00:05:33,760 Speaker 1: emotional audience member. One time the DJ cut me off 103 00:05:33,800 --> 00:05:36,880 Speaker 1: halfway through she Wolf by Shakira because I was flopping 104 00:05:37,040 --> 00:05:41,560 Speaker 1: so hard. See, that's my biggest fear because everyone's like 105 00:05:41,800 --> 00:05:43,760 Speaker 1: and whenever I expressed that fear of people are like, no, 106 00:05:43,920 --> 00:05:47,120 Speaker 1: you know, everyone is everyone's just like being themselves. I'm like, yeah, 107 00:05:47,120 --> 00:05:48,840 Speaker 1: but what if I'm the one person who they do 108 00:05:49,000 --> 00:05:51,720 Speaker 1: cut off because they're like, okay, well we still want 109 00:05:51,720 --> 00:05:54,960 Speaker 1: to have fun here, Like, but you know you're not 110 00:05:55,160 --> 00:05:57,120 Speaker 1: the one person because Sam is the one that's right. 111 00:05:58,000 --> 00:06:01,600 Speaker 1: But I feel like a good karaoke night needs the 112 00:06:01,680 --> 00:06:04,520 Speaker 1: people who are not great just to make sure just 113 00:06:04,600 --> 00:06:07,880 Speaker 1: to keep the levels right, so people aren't completely discouraged 114 00:06:07,880 --> 00:06:09,440 Speaker 1: because like there's places in l A you go and 115 00:06:09,480 --> 00:06:11,480 Speaker 1: you're like, okay, motherfucker, we get it. Like you think 116 00:06:11,480 --> 00:06:15,640 Speaker 1: there's an audition. Well in New York, specifically around the 117 00:06:15,720 --> 00:06:22,680 Speaker 1: Watcher Broadway, they're out right, what are you guys go to? 118 00:06:22,880 --> 00:06:26,960 Speaker 1: Is I have, however, done karaoke. I know it's going 119 00:06:27,000 --> 00:06:29,760 Speaker 1: to be surprising to you because of how much I 120 00:06:29,920 --> 00:06:34,360 Speaker 1: fucking nailed that Donovan track that that actually came from 121 00:06:35,040 --> 00:06:38,960 Speaker 1: just me really feeling strongly about the fact that I 122 00:06:39,040 --> 00:06:41,400 Speaker 1: did by a twelve ft which and it's the thing 123 00:06:41,480 --> 00:06:44,760 Speaker 1: I feel the most pride in about my life currently. Man, 124 00:06:44,800 --> 00:06:46,720 Speaker 1: we got a deepot. We need a karaoke night with 125 00:06:46,760 --> 00:06:49,160 Speaker 1: the team I know we do because now that now 126 00:06:49,240 --> 00:06:53,599 Speaker 1: I have song on Mike and I probably I've got 127 00:06:53,640 --> 00:06:56,920 Speaker 1: the bug. Guys. Yeah, I want you to I want 128 00:06:56,960 --> 00:06:59,520 Speaker 1: to hear you sing strong Enough by Cheryl Crowe. Uh 129 00:06:59,600 --> 00:07:02,280 Speaker 1: huh oh, I could do that. We're going to go 130 00:07:02,400 --> 00:07:05,480 Speaker 1: strong enough by Share. That's what I love to. Yeah. 131 00:07:06,160 --> 00:07:11,680 Speaker 1: Like the difference between you two and culture. Yeah, that's right, 132 00:07:11,760 --> 00:07:17,040 Speaker 1: that's the Rorschach test. Like strong enough, go share, Share girl, 133 00:07:17,680 --> 00:07:22,800 Speaker 1: girl girl. All right, we're going to get to know 134 00:07:22,880 --> 00:07:24,320 Speaker 1: you guys a little bit better in a moment. First, 135 00:07:24,320 --> 00:07:26,160 Speaker 1: we're gonna tell our listeners a few of the things 136 00:07:26,200 --> 00:07:29,920 Speaker 1: we're talking about today. It turns out people don't like 137 00:07:30,200 --> 00:07:33,280 Speaker 1: to work at Amazon, so we're gonna talk about that 138 00:07:33,880 --> 00:07:37,960 Speaker 1: fucking news flash shocking. We are going to talk about 139 00:07:38,760 --> 00:07:42,800 Speaker 1: what is it? Rainbow Rainbow Fentyl. Yeah, like the new 140 00:07:43,840 --> 00:07:46,160 Speaker 1: craz You should be worried. That should be in front 141 00:07:46,160 --> 00:07:49,280 Speaker 1: of your mind as a as a parent man. All 142 00:07:49,320 --> 00:07:51,960 Speaker 1: of that, plenty more or maybe none of that. We'll 143 00:07:52,000 --> 00:07:54,880 Speaker 1: see before we get to it, Sam George, we like 144 00:07:54,920 --> 00:07:58,400 Speaker 1: to ask our guests, what is something from your search history? 145 00:07:59,120 --> 00:08:00,720 Speaker 1: I looked at my search a street to see sort 146 00:08:00,720 --> 00:08:02,600 Speaker 1: of what I've been up to a lot of it 147 00:08:02,640 --> 00:08:04,920 Speaker 1: was pretty narcissistic, A lot of it was Sam Taggert, 148 00:08:04,920 --> 00:08:06,600 Speaker 1: a lot of the Stradio Lab, a lot of Stam 149 00:08:06,640 --> 00:08:09,440 Speaker 1: tagger Stradio Lab that was kind of dark. But then 150 00:08:09,480 --> 00:08:12,720 Speaker 1: I actually thought the more telling one was how heavy 151 00:08:12,800 --> 00:08:15,200 Speaker 1: does something need to be for you to need to 152 00:08:15,320 --> 00:08:20,160 Speaker 1: find a stud in the wall? Oh? Yeah, because I'm 153 00:08:20,200 --> 00:08:22,680 Speaker 1: trying to like hang stuff in my bedroom, I'm trying 154 00:08:22,760 --> 00:08:26,000 Speaker 1: to like redo it, and I have no practical skills, 155 00:08:26,760 --> 00:08:29,200 Speaker 1: and I'm also lazy, so on top of it all, 156 00:08:29,240 --> 00:08:32,320 Speaker 1: I'm lazy. And I got a mirror that was too 157 00:08:32,920 --> 00:08:34,680 Speaker 1: it was like kind of heavy, and I was like, well, 158 00:08:34,840 --> 00:08:36,679 Speaker 1: does it do I have to find a stud? Do 159 00:08:36,760 --> 00:08:40,559 Speaker 1: I have to go buy a stud finder? And I 160 00:08:40,679 --> 00:08:43,280 Speaker 1: thought I did it out of safety, but I wish 161 00:08:43,360 --> 00:08:46,520 Speaker 1: I didn't have to wish to cut corners. Wait, you 162 00:08:46,840 --> 00:08:48,960 Speaker 1: wish that you could have just said, fuck it, we're 163 00:08:49,000 --> 00:08:53,520 Speaker 1: going drywall only just let go and let god. I've 164 00:08:53,559 --> 00:08:56,360 Speaker 1: never understood why we make walls that can't just hold everything. 165 00:08:56,600 --> 00:09:00,680 Speaker 1: I just don't agree. I like, still, I'm at one point, 166 00:09:01,080 --> 00:09:03,199 Speaker 1: at some point I know I'll be kind of this 167 00:09:03,280 --> 00:09:04,679 Speaker 1: will come back by me in the ass but I'm 168 00:09:04,760 --> 00:09:07,280 Speaker 1: kind of like whatever, like you can put anything on 169 00:09:07,360 --> 00:09:12,679 Speaker 1: the wall ripped out. Yeah, that's like every like vacuum 170 00:09:12,920 --> 00:09:14,240 Speaker 1: thing I've had to put in a wall. And I 171 00:09:14,400 --> 00:09:17,000 Speaker 1: was like, that's fine, that's enough. Two weeks later, like 172 00:09:17,120 --> 00:09:20,880 Speaker 1: one of the screws like just flopping out, and I'm like, ship, Yes, 173 00:09:20,920 --> 00:09:22,800 Speaker 1: they had a point about this whole stud thing. I'm 174 00:09:22,840 --> 00:09:24,800 Speaker 1: in a similar school. I thought I'd rather not if 175 00:09:24,840 --> 00:09:28,760 Speaker 1: I don't have to. Yeah, they should make better walls 176 00:09:28,880 --> 00:09:30,959 Speaker 1: than like trusting us as they're putting it on the 177 00:09:31,040 --> 00:09:35,000 Speaker 1: individual instead of the collective act, so that the builders 178 00:09:35,080 --> 00:09:36,719 Speaker 1: need to be doing a better job. That's right, it's 179 00:09:36,720 --> 00:09:38,439 Speaker 1: actually and I actually I also want to say, you know, 180 00:09:38,559 --> 00:09:42,560 Speaker 1: it comes back to that classic tech industry slogan asked 181 00:09:42,640 --> 00:09:47,160 Speaker 1: for don't ask for permission. Yeah that move fast and breaks, 182 00:09:47,640 --> 00:09:49,920 Speaker 1: move fast and break things first of all, which is 183 00:09:49,960 --> 00:09:53,760 Speaker 1: actually also applicable, but also asked for forgiveness, not permission. 184 00:09:54,000 --> 00:09:57,040 Speaker 1: There you go, So you know, yeah, like if one 185 00:09:57,120 --> 00:10:00,839 Speaker 1: in every twenty times I break the wall, yeah, we'll 186 00:10:00,920 --> 00:10:03,599 Speaker 1: cross that bridge when we get there. Oh sorry my 187 00:10:03,880 --> 00:10:07,640 Speaker 1: TV fell on your baby. Yeah yeah, Just to be clear, 188 00:10:07,760 --> 00:10:10,400 Speaker 1: both of those slogans no issues and I actually think 189 00:10:10,440 --> 00:10:15,400 Speaker 1: those are my political beliefs, right, thanks for forgiveness, don't 190 00:10:15,400 --> 00:10:18,559 Speaker 1: ask for permission? All good, All good here in the 191 00:10:18,640 --> 00:10:21,880 Speaker 1: tech industry, in them run, things has worked out well 192 00:10:22,760 --> 00:10:25,360 Speaker 1: all of us. I think Semini are two of the 193 00:10:25,480 --> 00:10:31,040 Speaker 1: foremost technocratic podcasters out there. How about you, George, What's 194 00:10:31,080 --> 00:10:33,559 Speaker 1: something from your search history? UM? I mean sadly so 195 00:10:33,800 --> 00:10:36,120 Speaker 1: my during the day, I work as an editor at 196 00:10:36,400 --> 00:10:39,240 Speaker 1: the New Gawker, and and so my search history is 197 00:10:39,320 --> 00:10:43,600 Speaker 1: completely destroyed because of that, because every time some new 198 00:10:43,760 --> 00:10:46,120 Speaker 1: personality comes up, I have to find out who they are. 199 00:10:46,320 --> 00:10:48,600 Speaker 1: So I can tell you, you know, I just kind 200 00:10:48,640 --> 00:10:51,959 Speaker 1: of finished a round of blog editing a couple of 201 00:10:52,400 --> 00:10:55,640 Speaker 1: hours ago, and a new person I found out about 202 00:10:55,679 --> 00:11:01,400 Speaker 1: is Emily Radikowski's new potential bow. She has seen smooching, 203 00:11:02,000 --> 00:11:05,040 Speaker 1: And so we thought, you know, sometimes, you know, we 204 00:11:05,160 --> 00:11:09,160 Speaker 1: do hard hitting journalism, we do kind of provocative commentary, 205 00:11:09,240 --> 00:11:11,839 Speaker 1: but sometimes you got to get those clicks. And we 206 00:11:12,000 --> 00:11:14,120 Speaker 1: were like, it would be fun if we did almost 207 00:11:14,160 --> 00:11:19,280 Speaker 1: like a tongue in cheek, funny, ironic, sarcastic, five fast 208 00:11:19,360 --> 00:11:22,360 Speaker 1: facts about this guy. And there were so few facts 209 00:11:22,400 --> 00:11:24,520 Speaker 1: available that one of them is just he's a Democrat. 210 00:11:28,240 --> 00:11:30,880 Speaker 1: You know, it's crazy. I almost clicked on that article, like, wow, 211 00:11:31,600 --> 00:11:36,920 Speaker 1: just said I read it. I almost thought about reading that. 212 00:11:37,120 --> 00:11:39,559 Speaker 1: I just love that that it's number five. He is 213 00:11:39,640 --> 00:11:47,400 Speaker 1: a quote registered. Oh it's Rasio Rispo. Oh yeah exactly. 214 00:11:47,520 --> 00:11:52,679 Speaker 1: Do you know who that? Yeah? Of course he h exactly. 215 00:11:52,920 --> 00:11:56,480 Speaker 1: He's like a New York kind of figure. One of 216 00:11:56,520 --> 00:11:58,360 Speaker 1: our one of our facts is that he's friends with 217 00:11:58,480 --> 00:12:02,839 Speaker 1: Nick Roll's wife. Get to know. I do want to 218 00:12:02,880 --> 00:12:05,600 Speaker 1: shout out fran Hope for Hope who wrote who wrote 219 00:12:05,679 --> 00:12:10,079 Speaker 1: this piece and did an incredible job with very little information. Yeah, 220 00:12:10,080 --> 00:12:11,800 Speaker 1: I figured it. I mean the one thing I figured 221 00:12:12,800 --> 00:12:15,160 Speaker 1: is like she's always around people who collect art. I 222 00:12:15,160 --> 00:12:17,360 Speaker 1: feel like that's the one fact I feel like of 223 00:12:17,440 --> 00:12:20,840 Speaker 1: her recent like uh out in society moments. I feel 224 00:12:20,840 --> 00:12:22,920 Speaker 1: like she's been very close to the art world recently. 225 00:12:23,559 --> 00:12:28,439 Speaker 1: Oh Emily yeah yeah yeah yeah yeah. Kind of a 226 00:12:28,520 --> 00:12:31,800 Speaker 1: trend right now for celebt women's celebrities to date men 227 00:12:31,880 --> 00:12:37,040 Speaker 1: in the art world Emarada, Chloe seventy and Jennifer Lawrence 228 00:12:37,160 --> 00:12:41,000 Speaker 1: and so three is actually a pattern. Yeah, we we 229 00:12:41,080 --> 00:12:43,760 Speaker 1: need to pay attention to it. Yeah, I mean, and 230 00:12:43,880 --> 00:12:48,600 Speaker 1: those are called smart money launderers, that's right, Yeah, yeah, criminals. 231 00:12:48,920 --> 00:12:51,000 Speaker 1: Like I feel like every time there's somebody who like 232 00:12:51,200 --> 00:12:54,240 Speaker 1: gets very serious with somebody in the art world, that 233 00:12:54,400 --> 00:12:57,920 Speaker 1: person it turns out to be just being like they're 234 00:12:58,000 --> 00:13:00,480 Speaker 1: the best and at being in the art world because 235 00:13:00,559 --> 00:13:03,240 Speaker 1: they were a grifter of some sort. Like hasn't that 236 00:13:03,320 --> 00:13:06,079 Speaker 1: happened multiple times? The art word is quite literally a 237 00:13:06,120 --> 00:13:10,559 Speaker 1: money laundering scheme, just a global money laundering scheme, and 238 00:13:10,800 --> 00:13:13,199 Speaker 1: there's something kind of beautiful about that to just like 239 00:13:13,360 --> 00:13:17,680 Speaker 1: know that there's no substance there. The new Gacker is great, 240 00:13:17,720 --> 00:13:20,560 Speaker 1: by the way, Thank you very much. What is something 241 00:13:21,160 --> 00:13:22,839 Speaker 1: that will stick with you, George? What is something you 242 00:13:22,920 --> 00:13:25,640 Speaker 1: think is overrated? Oh? I have a really good answer 243 00:13:25,679 --> 00:13:28,160 Speaker 1: for this, not to brag. I think that's something that 244 00:13:28,280 --> 00:13:33,240 Speaker 1: is overrated is oral histories. Okay, Yeah, I just like 245 00:13:33,400 --> 00:13:36,439 Speaker 1: don't like there's something about it where like either do 246 00:13:36,760 --> 00:13:40,800 Speaker 1: the work and write a book or just kind of 247 00:13:40,920 --> 00:13:43,640 Speaker 1: like do a tweet, like to do an oral history 248 00:13:43,880 --> 00:13:47,439 Speaker 1: of the you know, of the Office episode where Jim 249 00:13:47,520 --> 00:13:49,839 Speaker 1: and Pam go to the supermarket. Like, I don't care. 250 00:13:49,880 --> 00:13:51,640 Speaker 1: I don't need to like have quotes from a writer 251 00:13:51,760 --> 00:13:53,560 Speaker 1: that was like and then and then in the room. 252 00:13:53,960 --> 00:13:56,520 Speaker 1: They someone said what if they go to the supermarket, 253 00:13:56,640 --> 00:13:58,760 Speaker 1: and we said, no, they can't do that. That's crazy 254 00:14:01,200 --> 00:14:04,079 Speaker 1: that it's very like loosely edited. So it makes sense 255 00:14:04,160 --> 00:14:06,960 Speaker 1: that you as an editor would be anti this because 256 00:14:07,200 --> 00:14:10,760 Speaker 1: that's what about a less readable just kind of loose 257 00:14:11,160 --> 00:14:16,199 Speaker 1: grouping of source quotes, right. And sometimes, like you know, 258 00:14:16,280 --> 00:14:18,200 Speaker 1: if there's like an episode of a show you like, actually, 259 00:14:18,280 --> 00:14:20,280 Speaker 1: the best thing you can do is just rewatch that episode. 260 00:14:20,320 --> 00:14:21,960 Speaker 1: You don't need an oral history of how it came 261 00:14:22,040 --> 00:14:29,160 Speaker 1: to me. M m m hmm. It broke new ground 262 00:14:29,200 --> 00:14:32,000 Speaker 1: sending the grocery store. I mean like when when I 263 00:14:32,040 --> 00:14:33,480 Speaker 1: saw that they were going to the grocery store, I 264 00:14:33,560 --> 00:14:39,000 Speaker 1: fucking lost my mind. So sometimes sometimes it eppisode like 265 00:14:39,200 --> 00:14:40,840 Speaker 1: out of left field. It's not like it's like a 266 00:14:41,000 --> 00:14:43,600 Speaker 1: good app you're more like, wait, how did why did 267 00:14:43,680 --> 00:14:47,760 Speaker 1: this happen? Like I'm I'm talking about like the dinosaurs 268 00:14:47,880 --> 00:14:51,280 Speaker 1: at like series finale, do you remember, I mean it 269 00:14:51,440 --> 00:14:53,560 Speaker 1: was like this kid's show and then like suddenly it 270 00:14:53,680 --> 00:14:56,840 Speaker 1: was about like like all of the dinosaurs getting exterminated 271 00:14:56,920 --> 00:14:59,440 Speaker 1: by comets. That was a metaphor for global warming, and 272 00:14:59,480 --> 00:15:02,000 Speaker 1: it was like whoa, whoa, whoa, whoa world. I did 273 00:15:02,080 --> 00:15:04,440 Speaker 1: not me at eight years old did not need to 274 00:15:04,480 --> 00:15:07,520 Speaker 1: see this. I'm like, what happened to knock? The mama 275 00:15:11,280 --> 00:15:13,640 Speaker 1: is gone? They all die? But I mean that's where 276 00:15:14,400 --> 00:15:16,480 Speaker 1: that was. We were there for like the Henson light 277 00:15:16,600 --> 00:15:22,400 Speaker 1: of it, right, rather than like, y'all y'all fucked up narrative. Right. Yeah, 278 00:15:22,960 --> 00:15:25,800 Speaker 1: so that I do understand the need for an oral history, 279 00:15:25,960 --> 00:15:30,080 Speaker 1: but also George, love and respect um your opinions as always. Yeah, 280 00:15:30,200 --> 00:15:33,040 Speaker 1: reading them read like I could again like if we're 281 00:15:33,080 --> 00:15:37,680 Speaker 1: taking it for face, like literally like let me hear it. Okay, 282 00:15:37,800 --> 00:15:39,920 Speaker 1: that's one thing, but reading it is like I feel 283 00:15:39,920 --> 00:15:43,360 Speaker 1: like I'm high reading Cormick McCarthy or something. Yeah. Well, 284 00:15:43,400 --> 00:15:45,440 Speaker 1: it's just like it's better in theory than in practice. 285 00:15:45,480 --> 00:15:48,280 Speaker 1: You click on these things and they're like seventeen thousand 286 00:15:48,320 --> 00:15:50,720 Speaker 1: words long, and you're like, I don't know, I mean, 287 00:15:52,320 --> 00:15:54,480 Speaker 1: find a good quote for us, and like bring it 288 00:15:54,560 --> 00:15:58,320 Speaker 1: to the front like a journalist, Like pretend you're a journalist. 289 00:15:58,440 --> 00:16:00,920 Speaker 1: I don't pretend you have an editor and this is 290 00:16:00,960 --> 00:16:03,840 Speaker 1: a journalistic institution. I don't know. Here's this interview I 291 00:16:03,920 --> 00:16:07,400 Speaker 1: did with that guy. Yeah, yeah, listen to it. Yeah, 292 00:16:07,720 --> 00:16:11,200 Speaker 1: like the the true story behind the dinosaurs episode maybe 293 00:16:11,440 --> 00:16:14,600 Speaker 1: maybe is like one really good quote. Yeah, I think 294 00:16:14,600 --> 00:16:16,720 Speaker 1: we got all agree and that's the one we need. Yeah, 295 00:16:16,720 --> 00:16:18,240 Speaker 1: I mean I feel like I couldn't we just call 296 00:16:18,280 --> 00:16:20,360 Speaker 1: it DJ Daniel right now because in his dad was 297 00:16:20,800 --> 00:16:25,880 Speaker 1: his dad, my my uncle actually wrote on dinosaurs and really, yeah, 298 00:16:25,960 --> 00:16:28,120 Speaker 1: fuck it, just call and get the oral history right now, 299 00:16:28,360 --> 00:16:31,000 Speaker 1: right now? Should we do it? Hey? What the funk? 300 00:16:31,120 --> 00:16:34,520 Speaker 1: Was up with that man? And now it works for 301 00:16:35,440 --> 00:16:40,040 Speaker 1: environmental nonprofit? So he he headstrong. I think before that 302 00:16:40,320 --> 00:16:43,640 Speaker 1: he was pro oil industry, and then as that episode 303 00:16:43,720 --> 00:16:48,240 Speaker 1: came together, he was actually at the van go painting. Yeah, 304 00:16:48,360 --> 00:16:51,200 Speaker 1: he throws, that's that's what his He was taking videos. 305 00:16:51,560 --> 00:16:55,240 Speaker 1: He likes to be behind the scenes. They feel strong, 306 00:16:55,440 --> 00:17:00,920 Speaker 1: very strongly about soup based protest. Yeah. Yeah, it's very specific. Uh, Sam, 307 00:17:00,960 --> 00:17:06,480 Speaker 1: what's something you think is overrated? Okay? I think good 308 00:17:06,640 --> 00:17:09,760 Speaker 1: acting is overrated. I don't believe in acting as an 309 00:17:09,880 --> 00:17:15,120 Speaker 1: art form. I think it's on the I think it's 310 00:17:15,200 --> 00:17:17,520 Speaker 1: on the director to sort of make it makes sense, 311 00:17:18,119 --> 00:17:22,040 Speaker 1: sort of like cast properly and like like, I think 312 00:17:22,080 --> 00:17:24,840 Speaker 1: everyone has a different little special sauce. But I'm always 313 00:17:24,880 --> 00:17:27,920 Speaker 1: like like I'm like, no, when someone is like bad 314 00:17:27,960 --> 00:17:29,920 Speaker 1: at acting in a movie, I'm like, that's not their fault. 315 00:17:29,920 --> 00:17:31,520 Speaker 1: They don't know what the hell is going on, Like 316 00:17:32,040 --> 00:17:36,240 Speaker 1: it's on the director to tell them what, right, right, Yeah, 317 00:17:37,080 --> 00:17:39,480 Speaker 1: that's like a coach putting the worst player on the 318 00:17:39,560 --> 00:17:42,119 Speaker 1: bench into the starting like lineup when you're like, you 319 00:17:42,280 --> 00:17:44,720 Speaker 1: know that's not the best player, right, It's like, yeah, 320 00:17:44,800 --> 00:17:47,119 Speaker 1: but it's gonna get butts in the seats, so fuck it, 321 00:17:47,480 --> 00:17:49,800 Speaker 1: like and we know that. That's why feel like does 322 00:17:49,840 --> 00:17:51,760 Speaker 1: Harry Styles kind of fit into? That's how I feel 323 00:17:51,760 --> 00:17:54,159 Speaker 1: about Harry Styles, Like he s just they're like, hey man, 324 00:17:54,160 --> 00:17:56,480 Speaker 1: you should act. He's like I guess, and everyone's like, 325 00:17:59,200 --> 00:18:01,400 Speaker 1: I think he's set up to fail. But I also 326 00:18:01,520 --> 00:18:04,520 Speaker 1: just think anyone that's like good at acting, like they 327 00:18:04,600 --> 00:18:06,200 Speaker 1: just have like a lot of times they have like 328 00:18:06,280 --> 00:18:08,080 Speaker 1: ten little tricks. Like it's like I can make my 329 00:18:08,160 --> 00:18:11,120 Speaker 1: lip twitch like this, so like I can fry right right. 330 00:18:12,160 --> 00:18:14,200 Speaker 1: I Really it's something I for some reason, I do 331 00:18:14,320 --> 00:18:16,840 Speaker 1: not believe in. I'm just always like, yeah, I guess, 332 00:18:17,160 --> 00:18:21,600 Speaker 1: like Sam is not really an actress, gay, I don't know, 333 00:18:21,800 --> 00:18:25,399 Speaker 1: he's more of a pop star, gay god. And I 334 00:18:25,400 --> 00:18:28,760 Speaker 1: would say I'm more of an actress. I I do 335 00:18:29,480 --> 00:18:31,800 Speaker 1: actually appreciate what Sam is saying, because I do think 336 00:18:32,600 --> 00:18:36,360 Speaker 1: we celebrate acting too much. But but but I will 337 00:18:36,440 --> 00:18:39,280 Speaker 1: be the person who's like blown away by performance and 338 00:18:39,320 --> 00:18:42,000 Speaker 1: then and then I'm like, have you seen Cape Blanchett 339 00:18:42,040 --> 00:18:46,720 Speaker 1: and Tarr? That was actually the thing that jumped to 340 00:18:47,119 --> 00:18:49,399 Speaker 1: my mind, even though I haven't seen it. That seems 341 00:18:49,440 --> 00:18:52,920 Speaker 1: to be the performance that everybody is like that this 342 00:18:53,680 --> 00:18:56,040 Speaker 1: If you're going to go to a movie to watch 343 00:18:56,119 --> 00:18:59,200 Speaker 1: a performance this year, that that's the one to do 344 00:18:59,359 --> 00:19:03,560 Speaker 1: it for and very well directed. So you know, it's 345 00:19:03,600 --> 00:19:09,560 Speaker 1: Sam's words her, it's the man, it's the todd Field. Yeah. 346 00:19:11,400 --> 00:19:13,880 Speaker 1: But yeah, I'm going to see Tar tonight. So hopefully 347 00:19:14,200 --> 00:19:18,680 Speaker 1: hopefully Kate teaches me the power of acting or just 348 00:19:18,800 --> 00:19:21,200 Speaker 1: make a scene and be like, I honestly don't get it, y'all. 349 00:19:23,160 --> 00:19:25,800 Speaker 1: She's waving a stick around for most of the movie. 350 00:19:26,960 --> 00:19:29,840 Speaker 1: It does seem like listen, I loved I liked the 351 00:19:29,960 --> 00:19:32,280 Speaker 1: performs a lot. I do think when she's doing the 352 00:19:32,359 --> 00:19:36,800 Speaker 1: stick stuff she could tone it down a bit. It's 353 00:19:36,840 --> 00:19:40,200 Speaker 1: a lot it's very exaggerated stick acting. Does that go 354 00:19:40,440 --> 00:19:43,600 Speaker 1: for all conductors? I've had that thought every time, every 355 00:19:43,640 --> 00:19:46,080 Speaker 1: single time I've seen a conductor, I've been like, you 356 00:19:46,200 --> 00:19:52,159 Speaker 1: could take it down. It was so I remember I 357 00:19:52,240 --> 00:19:55,159 Speaker 1: played in a youth orchestra, like a youth symphony growing up, 358 00:19:55,160 --> 00:19:57,240 Speaker 1: because I like super into playing trumpet as a kid. 359 00:19:57,760 --> 00:20:01,359 Speaker 1: And the direct the conductor of that you symphony was 360 00:20:01,480 --> 00:20:05,000 Speaker 1: so fucking pretentious, Like it's like he it's like to 361 00:20:05,119 --> 00:20:08,080 Speaker 1: your point. It's like he has been like watching mixtapes 362 00:20:08,160 --> 00:20:10,520 Speaker 1: of other conductors of simph like symphonies and be like 363 00:20:10,800 --> 00:20:12,600 Speaker 1: that's the ship you gotta get on, like you gotta 364 00:20:12,640 --> 00:20:16,360 Speaker 1: have nasty long hair, be sweating and like just over 365 00:20:16,480 --> 00:20:19,040 Speaker 1: like just big animated movements. And he was like a 366 00:20:19,240 --> 00:20:21,399 Speaker 1: nightmare of a person. So I give it up to 367 00:20:21,480 --> 00:20:23,600 Speaker 1: the low key conductors. With a lot of conductors, it 368 00:20:23,640 --> 00:20:25,720 Speaker 1: does feel like, you know, are you doing this traumatic 369 00:20:25,800 --> 00:20:28,600 Speaker 1: movement for for for us the orchestra? Are you doing 370 00:20:28,640 --> 00:20:30,399 Speaker 1: it for you the conductor? Like are you trying to 371 00:20:31,080 --> 00:20:32,879 Speaker 1: like prove your own importance? Are you trying to like 372 00:20:33,000 --> 00:20:36,440 Speaker 1: keep us in time? And like right part of it, 373 00:20:36,520 --> 00:20:38,680 Speaker 1: I get like if there's a crescendo right and the 374 00:20:39,000 --> 00:20:41,640 Speaker 1: and the certain section isn't giving it to you enough, 375 00:20:41,640 --> 00:20:44,120 Speaker 1: You've got to like really gesture like, yo, this is fortissimo. 376 00:20:44,280 --> 00:20:46,760 Speaker 1: You know, y'll playing a mezzo forte type ship. But 377 00:20:47,480 --> 00:20:49,800 Speaker 1: the I don't know. Sometimes it does seem like they're 378 00:20:49,840 --> 00:20:51,800 Speaker 1: doing a solo on it, like like how a rock 379 00:20:52,000 --> 00:20:54,400 Speaker 1: like Santana would do a rock solo and a get 380 00:20:54,480 --> 00:20:57,600 Speaker 1: right like oh fuck man, like in the middle of it, 381 00:20:57,800 --> 00:21:01,680 Speaker 1: like okay, you're coming minutes yeah, or like s de Heim. 382 00:21:02,000 --> 00:21:06,080 Speaker 1: Not to bring it back to Sam's least favorite musician, 383 00:21:08,280 --> 00:21:12,960 Speaker 1: bass Faces, that bass face is wild as they also 384 00:21:13,000 --> 00:21:15,040 Speaker 1: played bass and I was just like, yo, she's she's 385 00:21:15,320 --> 00:21:18,960 Speaker 1: feeling it up. There is there a bad performance that 386 00:21:19,240 --> 00:21:22,440 Speaker 1: you or something that was like noted for being a 387 00:21:22,520 --> 00:21:25,240 Speaker 1: bad performance that just like didn't bother you that you'd 388 00:21:25,280 --> 00:21:28,960 Speaker 1: like ride for. I mean, I don't it's hard to 389 00:21:29,040 --> 00:21:31,639 Speaker 1: tell what people actually think of the quality of this performance. 390 00:21:31,720 --> 00:21:35,320 Speaker 1: But Gaga's performance in House of Gucci is like so 391 00:21:36,600 --> 00:21:39,639 Speaker 1: like funny in a way that I just love. Like 392 00:21:39,800 --> 00:21:42,480 Speaker 1: it's like you don't need to be like good, you 393 00:21:42,560 --> 00:21:45,320 Speaker 1: need to be like just giving me something. And it's 394 00:21:45,359 --> 00:21:48,920 Speaker 1: like that is giving me something. I don't know what 395 00:21:49,080 --> 00:21:52,879 Speaker 1: it is, but it's something. The entire movie was like 396 00:21:53,000 --> 00:21:59,200 Speaker 1: a structural critique of the concept of acting, like, you 397 00:21:59,320 --> 00:22:01,600 Speaker 1: know what good thing is, Well, this is the most 398 00:22:01,840 --> 00:22:04,840 Speaker 1: entertaining movie you've seen this year, and we are doing 399 00:22:05,200 --> 00:22:08,879 Speaker 1: like just the most ridiculous. We're making fun of the 400 00:22:09,040 --> 00:22:13,080 Speaker 1: idea of acting up here. Weel good with that, And 401 00:22:13,160 --> 00:22:16,160 Speaker 1: I was. I even like Jared Leto's performance. I thought 402 00:22:16,160 --> 00:22:21,639 Speaker 1: that his best performance today. I was like, thank you 403 00:22:21,800 --> 00:22:25,520 Speaker 1: for this. I needed this. He should. I stand by 404 00:22:25,880 --> 00:22:29,240 Speaker 1: my statement that that character should be the voice of 405 00:22:29,320 --> 00:22:32,960 Speaker 1: Mario in the new movie. Oh and by the way, 406 00:22:33,200 --> 00:22:34,840 Speaker 1: by the way, you know, you know who was not 407 00:22:34,920 --> 00:22:36,720 Speaker 1: going to that movie, Adam Driver, who was trying to 408 00:22:36,800 --> 00:22:40,680 Speaker 1: be a good actor. He needed to put that aside. 409 00:22:40,880 --> 00:22:47,960 Speaker 1: Read the roomy Halloween. Yeah, no, we can be spooky, 410 00:22:48,080 --> 00:22:52,679 Speaker 1: not accurate. Jeremy Irons doing like a completely different accent. 411 00:22:52,840 --> 00:22:58,800 Speaker 1: I was like, yes, you are British, just be British. Right, Oh, 412 00:22:59,480 --> 00:23:01,440 Speaker 1: all right, let's take a quick break, we'll come back. 413 00:23:01,520 --> 00:23:05,160 Speaker 1: We'll hear you're underrated and maybe get into some news. 414 00:23:15,880 --> 00:23:20,240 Speaker 1: And we're back and Sam, do you have an underrated 415 00:23:20,720 --> 00:23:23,680 Speaker 1: something you think is underrated? I do. I mean, we 416 00:23:23,760 --> 00:23:25,760 Speaker 1: kind't touched on it, so it might be boring, but 417 00:23:25,840 --> 00:23:27,960 Speaker 1: I'm gonna do it anyway. I was gonna say, And 418 00:23:28,080 --> 00:23:32,800 Speaker 1: underrated is climate terrorism. I think you know we've all 419 00:23:32,880 --> 00:23:36,960 Speaker 1: been sort of mocking this, this soup squad, and I 420 00:23:37,200 --> 00:23:40,280 Speaker 1: think any form of climate terrorism is a sleigh. And 421 00:23:40,400 --> 00:23:43,440 Speaker 1: I think we need to be sort of upping the 422 00:23:43,520 --> 00:23:46,560 Speaker 1: amount of climate terrorism. Yeah, it's gonna be messy. It's 423 00:23:46,560 --> 00:23:48,880 Speaker 1: sort of we're for figuring ourselves out. We don't really 424 00:23:48,920 --> 00:23:51,320 Speaker 1: know what to destroy or how to destroy it, but 425 00:23:51,680 --> 00:23:56,119 Speaker 1: maybe we gotta make a splash. Somebody's gotta be terrorizing something, right, 426 00:23:56,280 --> 00:23:59,119 Speaker 1: It's like they're too comfortable. I don't want to do it, 427 00:23:59,280 --> 00:24:03,520 Speaker 1: but somebody not. There are a lot of things I 428 00:24:03,560 --> 00:24:05,440 Speaker 1: don't want to do, Like right, yeah, I don't want 429 00:24:05,440 --> 00:24:07,720 Speaker 1: to pick up the garbage. But we gotta get it together. 430 00:24:07,800 --> 00:24:10,359 Speaker 1: But it ain't gonna be me. But y'all please figure 431 00:24:10,400 --> 00:24:14,920 Speaker 1: it out. Up the stakes please, Yeah, I'm all in. 432 00:24:15,760 --> 00:24:18,560 Speaker 1: My critique was like, why ruined something beautiful that everyone 433 00:24:18,640 --> 00:24:22,359 Speaker 1: can enjoy instead of like ruining a pipeline? But it 434 00:24:22,440 --> 00:24:25,600 Speaker 1: definitely got our attention more than those are. But that's 435 00:24:25,640 --> 00:24:27,600 Speaker 1: the thing, Jack, you gotta think like a terrorist man. 436 00:24:27,680 --> 00:24:30,800 Speaker 1: Those are soft targets. I mean, you nobody the body's 437 00:24:30,880 --> 00:24:33,159 Speaker 1: looking out for you at the Van Go exhibit. So 438 00:24:33,280 --> 00:24:35,400 Speaker 1: it's like it's like being a viking when you pulled 439 00:24:35,520 --> 00:24:37,400 Speaker 1: up to the continent of Europe. They're like, Yo, these 440 00:24:37,400 --> 00:24:40,199 Speaker 1: motherfucker's have no idea, bro, we'll fuck this place up. 441 00:24:41,200 --> 00:24:43,800 Speaker 1: And I think that's how they're looking at it right now. Yeah, 442 00:24:44,359 --> 00:24:47,800 Speaker 1: like a sucking Aston Martin dealership. They're like, you're fucked. 443 00:24:49,160 --> 00:24:51,840 Speaker 1: I always I'm always a little skeptical when people are like, well, 444 00:24:51,920 --> 00:24:54,960 Speaker 1: but it did get us talking, so it worked. I'm like, no, no, no, no, no, 445 00:24:55,119 --> 00:25:03,720 Speaker 1: it's not that got our attention. It definitely started the conversation. Yeah, 446 00:25:03,720 --> 00:25:06,280 Speaker 1: it definitely did. But like I'm like, okay, when people 447 00:25:06,320 --> 00:25:09,800 Speaker 1: were protesting, like the Sackler wing of the museum, You're like, okay, 448 00:25:09,880 --> 00:25:12,640 Speaker 1: the name Sackler is on it. I can see the connection. 449 00:25:12,840 --> 00:25:15,920 Speaker 1: Like let's go. I'm there, like I'm holding my sign. 450 00:25:16,320 --> 00:25:18,560 Speaker 1: But there's something about there's too many reference kind of 451 00:25:18,600 --> 00:25:22,040 Speaker 1: floating around. You're like, there's soup, there's and go, there's oil, 452 00:25:22,359 --> 00:25:27,640 Speaker 1: there's a museum. I'm like, let's streamline, right, yeah, stay focused. 453 00:25:27,840 --> 00:25:30,159 Speaker 1: At least throw the soup at like an at a 454 00:25:30,240 --> 00:25:33,600 Speaker 1: Warhol or you know, I don't know if that would 455 00:25:33,640 --> 00:25:35,080 Speaker 1: help the message, but it would at least have a 456 00:25:35,119 --> 00:25:38,840 Speaker 1: more streamlined there like like funk up like a Jeff 457 00:25:38,920 --> 00:25:42,720 Speaker 1: Koons piece, you know, like like a massive, massively like 458 00:25:43,040 --> 00:25:45,959 Speaker 1: I'm just make him hand over fist money like probably 459 00:25:46,000 --> 00:25:48,040 Speaker 1: how like like we were saying with the van Goes, 460 00:25:48,080 --> 00:25:50,320 Speaker 1: like yo, bro, let's leave that man alone. He didn't 461 00:25:50,320 --> 00:25:55,960 Speaker 1: even know he was successful when he died. Yeah, yeah, 462 00:25:56,240 --> 00:25:58,840 Speaker 1: there are better targets in the art world. For sure. 463 00:25:59,440 --> 00:26:07,080 Speaker 1: Climate needs an editorial director or a creative director. And yeah, 464 00:26:07,200 --> 00:26:09,960 Speaker 1: I mean because right now, hard in the punts little 465 00:26:10,000 --> 00:26:11,840 Speaker 1: noodles at the wall, you know, they're sort of seeing 466 00:26:11,880 --> 00:26:16,159 Speaker 1: where sticks and um, they're just they're they're wasting they 467 00:26:16,240 --> 00:26:19,399 Speaker 1: have an audience of rabbit audience and they're sort of 468 00:26:19,560 --> 00:26:22,320 Speaker 1: squandering it, right Well, I mean I think the other 469 00:26:22,359 --> 00:26:24,840 Speaker 1: thing too, is like the way like they didn't funk 470 00:26:24,960 --> 00:26:26,800 Speaker 1: up the van go like they threw it at the 471 00:26:26,880 --> 00:26:31,520 Speaker 1: plastic shield around the van. You know, they didn't even yeah, 472 00:26:31,600 --> 00:26:34,720 Speaker 1: you know, they don't have pieces like up and not 473 00:26:34,880 --> 00:26:37,040 Speaker 1: just that they called ahead of time to make sure 474 00:26:37,119 --> 00:26:39,879 Speaker 1: they would not ruin it. So then I'm like, all right, 475 00:26:39,920 --> 00:26:42,440 Speaker 1: well that's not very punk rock, right right, right, and 476 00:26:42,480 --> 00:26:44,840 Speaker 1: they took notes on which kind of soup to throw. 477 00:26:45,280 --> 00:26:51,000 Speaker 1: They're like that maybe something more water based. That feels 478 00:26:51,000 --> 00:26:55,240 Speaker 1: a little bit too greasy. Okay, okay, okay, well we 479 00:26:55,240 --> 00:26:59,720 Speaker 1: could just put red food coloring in some water. Okay coloring, 480 00:27:00,359 --> 00:27:04,440 Speaker 1: you know, people throwing red paint at for That's that's 481 00:27:04,480 --> 00:27:07,400 Speaker 1: like a perfect narrative like that. That's what I said, 482 00:27:08,080 --> 00:27:11,000 Speaker 1: what you're saying, Yes, that makes sense to me. But 483 00:27:11,200 --> 00:27:14,399 Speaker 1: this is although maybe it's more of a dada like 484 00:27:15,960 --> 00:27:17,720 Speaker 1: the point is how random it is, and maybe we 485 00:27:17,720 --> 00:27:20,600 Speaker 1: should like that. Maybe we're thinking in a modernist rather 486 00:27:20,680 --> 00:27:24,000 Speaker 1: than postmodernist way, right right, this is the sort of 487 00:27:24,200 --> 00:27:28,040 Speaker 1: sort of wave of climate terrorism. It's Tim and Eric 488 00:27:28,520 --> 00:27:35,720 Speaker 1: climate terrorism. Right. We need we want to get to 489 00:27:35,800 --> 00:27:38,080 Speaker 1: like the Octavia Butler point, you know what I mean, 490 00:27:38,240 --> 00:27:40,520 Speaker 1: we're like really fucking it up in like a laser 491 00:27:40,560 --> 00:27:44,360 Speaker 1: guided way. Yeah, I think that makes sense for climate terrorism. 492 00:27:44,520 --> 00:27:50,200 Speaker 1: Like the climate story, it doesn't need randomness or you know, surrealism. 493 00:27:50,320 --> 00:27:52,879 Speaker 1: It's pretty it's pretty straightforward because I feel like the 494 00:27:52,960 --> 00:27:55,919 Speaker 1: whole tension is like we know we're fucking the earth up, 495 00:27:56,320 --> 00:27:59,840 Speaker 1: but like we don't fucking control the resource extraction or 496 00:28:00,160 --> 00:28:02,280 Speaker 1: like the you know, pull the levers of like our 497 00:28:02,400 --> 00:28:05,600 Speaker 1: energy mixed to burn fossil fuels. So it's like, ww 498 00:28:05,680 --> 00:28:08,080 Speaker 1: do we fucking do something so right, it's in that 499 00:28:08,240 --> 00:28:10,080 Speaker 1: point now it's like I don't know, man, just go 500 00:28:10,240 --> 00:28:13,720 Speaker 1: fucking funk up that dealership, Go climb this bridge, throw 501 00:28:13,800 --> 00:28:16,200 Speaker 1: some sup at this thing, like whatever, man, because like 502 00:28:16,840 --> 00:28:19,800 Speaker 1: we can't just sucking buy paper straws and things like 503 00:28:19,920 --> 00:28:21,920 Speaker 1: that's gonna fucking end it, because that's a you know, 504 00:28:21,960 --> 00:28:23,760 Speaker 1: at the end of the day, it's not stopping the 505 00:28:23,840 --> 00:28:27,879 Speaker 1: fucking industry that's responsible for They were blewing themselves to 506 00:28:28,440 --> 00:28:34,359 Speaker 1: NBA basketball courts last playoffs, which was interesting, but again 507 00:28:34,560 --> 00:28:39,760 Speaker 1: I felt, yeah, it happened like multiple times in Memphis, 508 00:28:39,880 --> 00:28:42,600 Speaker 1: like in the at Memphis Grizzlies home games, I think 509 00:28:42,680 --> 00:28:47,320 Speaker 1: in Minnesota like that, it was like one they targeted 510 00:28:47,440 --> 00:28:53,040 Speaker 1: one specific series and just kept gluing themselves to the 511 00:28:53,360 --> 00:28:56,320 Speaker 1: court over and over again and and it never worked. 512 00:28:56,640 --> 00:28:58,880 Speaker 1: But it was always very violent how they were like 513 00:28:59,000 --> 00:29:02,200 Speaker 1: pulled off the court. So there's like also remember that 514 00:29:02,240 --> 00:29:05,480 Speaker 1: one security guard who was like a fucking NFL linebacker, 515 00:29:05,640 --> 00:29:08,240 Speaker 1: like reading the play, like just saw this person getting 516 00:29:08,320 --> 00:29:10,400 Speaker 1: ready to get up the court. And the second they 517 00:29:10,440 --> 00:29:15,320 Speaker 1: stood up there just out, yeah, they need they need coaching, 518 00:29:15,560 --> 00:29:20,960 Speaker 1: they need they needed director, better director. Yeah, George, what 519 00:29:21,280 --> 00:29:24,640 Speaker 1: is something you think is underrated? All right? I know 520 00:29:24,760 --> 00:29:26,920 Speaker 1: I came in guns a blazing with the oral history thing. 521 00:29:27,000 --> 00:29:30,640 Speaker 1: This one really stumped me. I was like, the first 522 00:29:30,680 --> 00:29:32,400 Speaker 1: thought I had was having a printer, but that I 523 00:29:32,480 --> 00:29:34,160 Speaker 1: was like, I can't go with that. That's the most 524 00:29:34,240 --> 00:29:37,400 Speaker 1: boring possible thing anyone could ever say. But I'll say this, 525 00:29:37,760 --> 00:29:40,760 Speaker 1: I think something that this is a little obvious, but 526 00:29:41,800 --> 00:29:44,680 Speaker 1: going to a multiplex to see a movie, people don't 527 00:29:44,680 --> 00:29:46,719 Speaker 1: realize because people don't go to movies that much anymore. 528 00:29:46,960 --> 00:29:49,800 Speaker 1: They are so desperate for our business that their policies 529 00:29:49,840 --> 00:29:54,920 Speaker 1: are in unhinged. It is like it is like every 530 00:29:55,040 --> 00:29:57,880 Speaker 1: like AMC Regal, all those places are offering passes that 531 00:29:57,920 --> 00:30:00,280 Speaker 1: are like twenty dollars a month for unlimited mo movies 532 00:30:00,560 --> 00:30:02,440 Speaker 1: and they also have like a full bar with like 533 00:30:02,520 --> 00:30:10,280 Speaker 1: Ayahuaska and the like. Because I really like going to 534 00:30:10,320 --> 00:30:12,640 Speaker 1: the movies, and but the past few times I've went, 535 00:30:12,760 --> 00:30:14,280 Speaker 1: the people i've gone with him been like, wow, this 536 00:30:14,400 --> 00:30:15,880 Speaker 1: is my first time going to the movies and like 537 00:30:16,400 --> 00:30:19,080 Speaker 1: three years kind of like people don't know what's going on, 538 00:30:19,320 --> 00:30:21,760 Speaker 1: Like this is the this is the opportunity of a lifetime. 539 00:30:23,000 --> 00:30:25,719 Speaker 1: This is your living room. If you play your cards right, 540 00:30:25,920 --> 00:30:28,600 Speaker 1: nobody will be here. And you know, you can even 541 00:30:28,600 --> 00:30:30,040 Speaker 1: smoke weed in there. They don't even give a fun 542 00:30:30,280 --> 00:30:32,600 Speaker 1: Yeah really like the fact that all of them have 543 00:30:32,800 --> 00:30:35,400 Speaker 1: Like people like I missed movie pass Well it exists. 544 00:30:35,600 --> 00:30:38,080 Speaker 1: You just have to commit to one theater but there 545 00:30:38,160 --> 00:30:41,400 Speaker 1: yea yeah. Yeah. I think people are focusing on the 546 00:30:41,480 --> 00:30:43,240 Speaker 1: wrong thing when talking about going to see a movie 547 00:30:43,280 --> 00:30:45,600 Speaker 1: in theaters because they're like, like the purest will be 548 00:30:45,680 --> 00:30:46,840 Speaker 1: like we need to go see a movie in theater 549 00:30:46,880 --> 00:30:49,160 Speaker 1: because it's so important to be around like the masses 550 00:30:49,200 --> 00:30:51,760 Speaker 1: of people while you see this film, and it's like no, no, no, no. 551 00:30:51,880 --> 00:30:55,080 Speaker 1: Mass people stresses everybody out, say, like you get like 552 00:30:55,360 --> 00:30:58,560 Speaker 1: the biggest, most reclining seat you could ever imagine a 553 00:30:58,640 --> 00:31:06,320 Speaker 1: full bar and like you can like what do you 554 00:31:06,360 --> 00:31:08,400 Speaker 1: think about the food, like you know, like the Alamo 555 00:31:08,560 --> 00:31:10,920 Speaker 1: Draft houses of the world are places where they bring food, 556 00:31:10,960 --> 00:31:13,520 Speaker 1: Like I like the option, but I more or so 557 00:31:13,720 --> 00:31:16,160 Speaker 1: to say, I like to eat a lot and typically 558 00:31:16,160 --> 00:31:18,120 Speaker 1: when I got moving, like Y'a'm gonna get high before 559 00:31:18,360 --> 00:31:20,400 Speaker 1: so I eat a lot, and I'm I'm not joking. 560 00:31:20,440 --> 00:31:23,640 Speaker 1: By the third act, I'm fucking struggling to fucking stay 561 00:31:23,840 --> 00:31:27,200 Speaker 1: like conscious because I'm like, yeah, I would say Alamo 562 00:31:27,320 --> 00:31:30,040 Speaker 1: draft I was much like oral histories, good in theory, 563 00:31:30,240 --> 00:31:34,120 Speaker 1: not great in practice. Yeah. I find that they've also 564 00:31:34,360 --> 00:31:36,760 Speaker 1: not as far as I know, and that this might 565 00:31:36,800 --> 00:31:40,080 Speaker 1: have happened since I last checked, But they have yet 566 00:31:40,200 --> 00:31:45,280 Speaker 1: to get a single order, right and very good foods 567 00:31:45,360 --> 00:31:48,600 Speaker 1: not good. And they they've never gotten a single like, 568 00:31:48,680 --> 00:31:51,080 Speaker 1: they've never gotten everything that you put on and you 569 00:31:51,200 --> 00:31:53,479 Speaker 1: write down the order. So it's interesting that they get 570 00:31:54,120 --> 00:31:57,320 Speaker 1: on paper. Here's what I have, actually a billion dollar 571 00:31:57,360 --> 00:31:59,959 Speaker 1: business idea, which is that, you know, collabs are all 572 00:32:00,040 --> 00:32:02,440 Speaker 1: the rage right now. I think if those movie theaters 573 00:32:02,520 --> 00:32:04,960 Speaker 1: just collaborated with like in and out, and then you 574 00:32:05,040 --> 00:32:08,120 Speaker 1: could get like a known entity because there and get 575 00:32:08,360 --> 00:32:10,600 Speaker 1: in and out. I mean that seems kind of like 576 00:32:10,640 --> 00:32:12,880 Speaker 1: a no brainer to me, right, that would be huge, 577 00:32:13,160 --> 00:32:15,280 Speaker 1: That would be amazing. Why have your own kitchen, just 578 00:32:15,360 --> 00:32:18,440 Speaker 1: have a little satellite kitchen right just popping in and 579 00:32:18,480 --> 00:32:22,000 Speaker 1: out truck. Yeah, I mean that'd be an interesting way. 580 00:32:22,120 --> 00:32:24,280 Speaker 1: How like studios to start propping up films they know 581 00:32:24,320 --> 00:32:27,440 Speaker 1: we're gonna have terrible openings like you basically you just 582 00:32:27,560 --> 00:32:30,240 Speaker 1: have an in and out collab opening, Like in markets 583 00:32:30,280 --> 00:32:32,040 Speaker 1: with mill in and out. They're like, guys, this Super 584 00:32:32,080 --> 00:32:34,520 Speaker 1: Mario film, you're gonna love it with in and out 585 00:32:35,280 --> 00:32:38,840 Speaker 1: Kansas pull up. I mean though, I mean not to 586 00:32:39,000 --> 00:32:41,360 Speaker 1: not to blame the theaters for not having good business, 587 00:32:41,440 --> 00:32:44,800 Speaker 1: but get them Ackinsey consultant in there and they'll be 588 00:32:44,880 --> 00:32:48,400 Speaker 1: up and running out and they'll probably say something like 589 00:32:48,520 --> 00:32:51,360 Speaker 1: have you tried more diverse offerings? And they're like, well, 590 00:32:51,400 --> 00:32:54,320 Speaker 1: hold on, hold on, we look we know you. Yeah 591 00:32:54,400 --> 00:32:58,920 Speaker 1: yeah yeah, hamburgers divers and I mean like vegan options. Yeah, yeah, 592 00:32:59,760 --> 00:33:03,920 Speaker 1: that's fine all right. By the way, uh, I use 593 00:33:04,000 --> 00:33:07,160 Speaker 1: my printer constantly. Printers are underrated, but thank you. Well 594 00:33:07,240 --> 00:33:10,120 Speaker 1: we'll we'll skip over it on the basis of it 595 00:33:10,280 --> 00:33:14,720 Speaker 1: being born. But printer having a printer yea, yeah, I'm 596 00:33:14,760 --> 00:33:17,040 Speaker 1: sorry that it just inspired. I can't agree that more 597 00:33:17,040 --> 00:33:19,400 Speaker 1: because it makes it's excited me the idea I don't 598 00:33:19,400 --> 00:33:21,600 Speaker 1: have a printer, but the times I wish I had 599 00:33:21,640 --> 00:33:23,800 Speaker 1: a fucking printer, I'm always like, why the funk have 600 00:33:23,920 --> 00:33:26,400 Speaker 1: I not bought a printer yet? Even if you need 601 00:33:26,440 --> 00:33:28,640 Speaker 1: to print something out once a year. I'm telling you 602 00:33:28,920 --> 00:33:31,960 Speaker 1: that just by one you know the print here. The 603 00:33:32,080 --> 00:33:35,920 Speaker 1: printer industry, they are built to fall apart so quickly. 604 00:33:36,440 --> 00:33:38,160 Speaker 1: I've never had a printer, like even when I go 605 00:33:38,240 --> 00:33:39,760 Speaker 1: to use it after six months, it's like, wait, why 606 00:33:39,800 --> 00:33:42,920 Speaker 1: doesn't it work? Now? It worked before? My mom has mine? 607 00:33:42,960 --> 00:33:44,880 Speaker 1: Drives me crazy. My mom has this one from like 608 00:33:45,000 --> 00:33:48,880 Speaker 1: eighteen years ago that just cannot fucking be stopped. It's 609 00:33:48,920 --> 00:33:51,800 Speaker 1: like it's like the most like respected member of our family. 610 00:33:52,160 --> 00:33:56,760 Speaker 1: Just like all right, respect to you, brother, brother printer, 611 00:33:57,120 --> 00:34:02,840 Speaker 1: literally brother, all right, let's get into Amazon real quick. 612 00:34:03,240 --> 00:34:06,880 Speaker 1: Turns out terrible place to work. Yeah, I don't know, 613 00:34:07,000 --> 00:34:12,879 Speaker 1: like just the statistics support everything that we have always suspected, 614 00:34:13,360 --> 00:34:16,600 Speaker 1: Like at every level I've I've known like one person 615 00:34:16,680 --> 00:34:19,920 Speaker 1: who worked at Amazon, like at an executive level, and 616 00:34:20,000 --> 00:34:21,840 Speaker 1: they told me, and this was like years ago, but 617 00:34:21,920 --> 00:34:25,000 Speaker 1: they told me that like they cried multiple times like 618 00:34:25,160 --> 00:34:27,439 Speaker 1: on the job, and that like there was at least 619 00:34:27,520 --> 00:34:30,760 Speaker 1: one person crying on the like in in their office 620 00:34:30,800 --> 00:34:33,600 Speaker 1: on a regular basis, and you had to like respond 621 00:34:33,680 --> 00:34:36,399 Speaker 1: to emails within three minutes at any time of day 622 00:34:36,600 --> 00:34:39,080 Speaker 1: or else. He where they would be like excuse me, 623 00:34:39,480 --> 00:34:45,080 Speaker 1: like hello, yeah, off task. It's also I've known many 624 00:34:45,239 --> 00:34:49,280 Speaker 1: people who have worked in it in like Amazon corporate, 625 00:34:49,400 --> 00:34:52,400 Speaker 1: not like in a in a warehouse, like as coders 626 00:34:52,480 --> 00:34:55,880 Speaker 1: or as product managers or whatever. And it's like that 627 00:34:56,080 --> 00:35:00,040 Speaker 1: ethos extends throughout the company, like from the lowest and 628 00:35:00,080 --> 00:35:02,399 Speaker 1: the people at the lowest level of the totem powl 629 00:35:02,440 --> 00:35:04,799 Speaker 1: to the people that are like vps. It's just it's 630 00:35:04,880 --> 00:35:08,400 Speaker 1: like and and that's I think the people that end 631 00:35:08,480 --> 00:35:10,080 Speaker 1: up liking it there are the people that thrive in 632 00:35:10,120 --> 00:35:13,880 Speaker 1: that kind of environment, which is a personality type, right, 633 00:35:15,320 --> 00:35:18,440 Speaker 1: And so like there's this leaked memo that basically just 634 00:35:18,600 --> 00:35:22,960 Speaker 1: confirms like, yeah, it's a hellish fucking nightscape, but nightscape, 635 00:35:23,000 --> 00:35:25,680 Speaker 1: hell escape. It's a hellish nightmarish hell escape. That's what 636 00:35:25,719 --> 00:35:28,640 Speaker 1: I was trying to do. But apparently they're like with 637 00:35:28,800 --> 00:35:31,640 Speaker 1: the amount of like employees that they're that are leaving 638 00:35:31,719 --> 00:35:34,479 Speaker 1: the company, like their attrition rate is costing them about 639 00:35:34,560 --> 00:35:38,040 Speaker 1: eight billion dollars per year and they lose three percent 640 00:35:38,200 --> 00:35:42,840 Speaker 1: of hourly workers every week. So they said, well, according 641 00:35:42,880 --> 00:35:46,680 Speaker 1: to this like internal research paper that I think, who god, 642 00:35:46,800 --> 00:35:49,799 Speaker 1: it's the verge, uh, it said workers are twice as 643 00:35:49,880 --> 00:35:52,400 Speaker 1: likely to leave by choice rather than because they were 644 00:35:52,480 --> 00:35:55,120 Speaker 1: laid off or fired. It also says that the issue 645 00:35:55,160 --> 00:35:57,279 Speaker 1: is widespread throughout the company, as we're just saying, not 646 00:35:57,480 --> 00:36:00,239 Speaker 1: just with warehouse workers, from entry level rolls all the 647 00:36:00,280 --> 00:36:02,840 Speaker 1: way up to vice presidents. The lowest attrition rate for 648 00:36:02,920 --> 00:36:05,600 Speaker 1: one of the company's ten tiers of employees was almost 649 00:36:05,719 --> 00:36:09,960 Speaker 1: seventy that's the lowest, with the highest reaching eight one. 650 00:36:12,600 --> 00:36:15,520 Speaker 1: I feel like every you know, every company, there's a 651 00:36:15,600 --> 00:36:17,760 Speaker 1: thing in like the business world called the hedgehog principle 652 00:36:17,840 --> 00:36:19,800 Speaker 1: where it's like every company needs to have like a 653 00:36:20,480 --> 00:36:25,440 Speaker 1: single line thesis statement that is what makes like separates 654 00:36:25,520 --> 00:36:29,640 Speaker 1: them from other companies and makes them more profitable. And 655 00:36:30,480 --> 00:36:33,560 Speaker 1: there's seems to be we are the best at exploiting 656 00:36:33,640 --> 00:36:37,320 Speaker 1: people without you having to notice that you the customer 657 00:36:37,440 --> 00:36:40,040 Speaker 1: having to notice that we're the best at treating our 658 00:36:40,360 --> 00:36:43,800 Speaker 1: workers like ship. But in a way that like is 659 00:36:43,840 --> 00:36:47,480 Speaker 1: behind closed doors, so so you just like turnaround and 660 00:36:47,600 --> 00:36:51,880 Speaker 1: the package arrives on your doorstep and you don't have 661 00:36:52,080 --> 00:36:54,719 Speaker 1: to see that we are like beating the ship out 662 00:36:54,760 --> 00:36:58,680 Speaker 1: of our our employees essentially, and that that really seems 663 00:36:59,040 --> 00:37:01,600 Speaker 1: like when when we talk about this, it's it seems 664 00:37:01,640 --> 00:37:05,880 Speaker 1: like we talk about it in relation to other companies, 665 00:37:06,040 --> 00:37:09,680 Speaker 1: where you know, other companies might have like incidentally like 666 00:37:09,800 --> 00:37:12,759 Speaker 1: bad culture because of like bad management, but like this 667 00:37:13,040 --> 00:37:16,400 Speaker 1: seems to be there, like at a cellular level, at 668 00:37:16,440 --> 00:37:18,480 Speaker 1: a like down to the d NA. This seems to 669 00:37:18,560 --> 00:37:23,359 Speaker 1: be their whole innovation is moving like just making making 670 00:37:23,440 --> 00:37:28,080 Speaker 1: labor extremely cheap and moving the cheap labor and all 671 00:37:28,120 --> 00:37:30,759 Speaker 1: their practices of like how they treat people like ship 672 00:37:30,880 --> 00:37:32,840 Speaker 1: behind closed doors so we don't so we don't have 673 00:37:32,960 --> 00:37:36,239 Speaker 1: to see it. Yeah. It also I feel like it 674 00:37:36,360 --> 00:37:41,879 Speaker 1: makes like the even slightly conscious consumer look like sort 675 00:37:41,920 --> 00:37:44,160 Speaker 1: of a bleeding heart liberal in this way that is 676 00:37:44,200 --> 00:37:46,600 Speaker 1: like like if I like talking to my mom, who 677 00:37:46,719 --> 00:37:48,919 Speaker 1: like orders a lot of Amazon, and be like, that's 678 00:37:49,160 --> 00:37:51,880 Speaker 1: like their I mean, to their employees, she's she's like, 679 00:37:52,000 --> 00:37:55,080 Speaker 1: it's like suddenly I'm like Bernie Sanders and like I'm like, 680 00:37:55,320 --> 00:37:58,000 Speaker 1: you know, like you shouldn't listen to me anymore. And 681 00:37:58,120 --> 00:38:01,000 Speaker 1: it's like, oh, it's it's so cruel that it should 682 00:38:01,040 --> 00:38:03,959 Speaker 1: be so obvious to to us all, And it's weird 683 00:38:04,040 --> 00:38:06,719 Speaker 1: that pointing it out is still like radical in some way. 684 00:38:06,719 --> 00:38:08,800 Speaker 1: Well it's then you like sweatshop. It's like in the 685 00:38:09,000 --> 00:38:13,240 Speaker 1: nineties or the two thousand's when it almost became cliche 686 00:38:13,360 --> 00:38:16,719 Speaker 1: to point out that everything, all closes are made in sweatshops. 687 00:38:16,760 --> 00:38:18,080 Speaker 1: So then you were kind of like, Okay, well, I 688 00:38:18,160 --> 00:38:21,600 Speaker 1: guess that's part of the world now. I mean to 689 00:38:21,680 --> 00:38:25,120 Speaker 1: that end, like there's like a new proposal from like 690 00:38:25,200 --> 00:38:29,160 Speaker 1: the group it's called the Commercial Customs Operation Advisory Committee 691 00:38:29,200 --> 00:38:32,640 Speaker 1: when it's like like from like Walmart and ship and 692 00:38:33,280 --> 00:38:37,000 Speaker 1: they've been basically talking to like you know there they 693 00:38:37,080 --> 00:38:39,600 Speaker 1: give suggestions to the Customs and Order Protection on like 694 00:38:39,640 --> 00:38:42,239 Speaker 1: how to streamline trade regulations, and right now they're trying 695 00:38:42,239 --> 00:38:44,200 Speaker 1: to do a thing that would basically make it harder 696 00:38:44,239 --> 00:38:46,600 Speaker 1: for you to realize if they were like you know, 697 00:38:47,160 --> 00:38:50,680 Speaker 1: like bringing in products that were tied to labor abuse overseas, 698 00:38:51,080 --> 00:38:54,360 Speaker 1: like that's their suggestion. Just yeah, just like kind of 699 00:38:54,560 --> 00:38:57,560 Speaker 1: like the manifest like they're like really blogging us down, 700 00:38:57,640 --> 00:39:00,359 Speaker 1: like let's just just barrel through that that way people 701 00:39:00,480 --> 00:39:04,280 Speaker 1: can't really link anything back to anything untoward. But again, 702 00:39:04,360 --> 00:39:07,680 Speaker 1: because I think it's funny that they are consciously realizing, oh, 703 00:39:07,880 --> 00:39:11,279 Speaker 1: some consumers are becoming a little more aware of like 704 00:39:11,400 --> 00:39:13,960 Speaker 1: what the human cost is to certain goods and so 705 00:39:14,239 --> 00:39:16,440 Speaker 1: that they're like all in on now being like all right, 706 00:39:16,520 --> 00:39:19,120 Speaker 1: funk up the manifest No one will know in terms 707 00:39:19,160 --> 00:39:22,120 Speaker 1: of Amazon, like let's just crank just like fuck the 708 00:39:22,160 --> 00:39:24,799 Speaker 1: attrition rate, just keep it going. And we talked about 709 00:39:24,800 --> 00:39:26,759 Speaker 1: in the past how like even their own analysis, like 710 00:39:27,040 --> 00:39:29,720 Speaker 1: we're gonna run through people who we can even fucking 711 00:39:29,880 --> 00:39:32,600 Speaker 1: exploit in certain markets if we don't figure it out, 712 00:39:33,160 --> 00:39:36,040 Speaker 1: which is I'm sure really comforting thought. I also just 713 00:39:36,080 --> 00:39:39,320 Speaker 1: wanted to touch on Bezos because Mona Hulabi, like in 714 00:39:39,400 --> 00:39:42,560 Speaker 1: the New York Times, did this like really interesting infographic 715 00:39:42,680 --> 00:39:46,279 Speaker 1: to help people just get some scale of Jeff Bezos wealth, 716 00:39:46,800 --> 00:39:50,080 Speaker 1: and it's it's really I think we always talk about, yeah, 717 00:39:50,200 --> 00:39:52,680 Speaker 1: it's really hard to fathom what a hundred seventy two 718 00:39:52,719 --> 00:39:56,160 Speaker 1: billion dollars looks like to an average person, But in it, 719 00:39:56,480 --> 00:39:58,680 Speaker 1: you know, she's breaking down for like, for zero points 720 00:39:58,719 --> 00:40:01,800 Speaker 1: seven percent of his wealth, could give every Amazon employee 721 00:40:01,840 --> 00:40:04,919 Speaker 1: a thousand dollars for less than one percent of his wealth. 722 00:40:05,360 --> 00:40:07,680 Speaker 1: Another one said that the average full time Amazon employee 723 00:40:07,719 --> 00:40:12,120 Speaker 1: made thirty seven thousand dollar thirty seven thirty in order 724 00:40:12,200 --> 00:40:14,880 Speaker 1: to accumulate as much money as Bezos a hundred seventy 725 00:40:14,920 --> 00:40:17,520 Speaker 1: two billion an employee would have to start working in 726 00:40:17,680 --> 00:40:21,680 Speaker 1: the Pilos scene Epoch four and a half million years ago, 727 00:40:21,920 --> 00:40:25,839 Speaker 1: when hominids had just started standing on two feet. That's 728 00:40:26,040 --> 00:40:31,040 Speaker 1: the head start. Oh yes, they said. Based on his 729 00:40:31,120 --> 00:40:33,640 Speaker 1: wealth gains in twenty one and twenty two, his wealth 730 00:40:33,760 --> 00:40:37,080 Speaker 1: was increasing five hundred dollars per second. So that means 731 00:40:37,320 --> 00:40:39,879 Speaker 1: in forty weeks, the time it takes for a human 732 00:40:39,880 --> 00:40:42,919 Speaker 1: adjust state, he could reimburse everyone in the United States 733 00:40:42,960 --> 00:40:45,279 Speaker 1: who got IVF in the past two and a half years. 734 00:40:45,719 --> 00:40:47,640 Speaker 1: That's just in forty weeks he could do that. Or 735 00:40:47,840 --> 00:40:49,799 Speaker 1: in ninety five hours, he could buy a hundred sixty 736 00:40:49,880 --> 00:40:52,400 Speaker 1: nine million dollar apartment on on the ninety floor of 737 00:40:52,880 --> 00:40:56,480 Speaker 1: three to Park Avenue in ninety five hours. That's how 738 00:40:56,600 --> 00:41:00,279 Speaker 1: much his That's how much money he makes passively. And 739 00:41:00,400 --> 00:41:04,040 Speaker 1: he deserves every penny, right, That's what I was just 740 00:41:04,120 --> 00:41:06,279 Speaker 1: gonna say, he deserves at all. He's the best, He's 741 00:41:06,320 --> 00:41:10,320 Speaker 1: the best amounts a super no. I thought this article, 742 00:41:10,719 --> 00:41:14,320 Speaker 1: I don't know, you can commute. You can consult me 743 00:41:14,440 --> 00:41:16,440 Speaker 1: next time New York Times, because I feel like there 744 00:41:16,480 --> 00:41:18,879 Speaker 1: were better ways to make make some of these points. 745 00:41:18,960 --> 00:41:21,480 Speaker 1: The place and error or whatever I thought was good, 746 00:41:21,560 --> 00:41:24,600 Speaker 1: But I don't know. But some of them kind there 747 00:41:24,680 --> 00:41:27,400 Speaker 1: was one hard to fathom where it's like fingernail dust 748 00:41:27,760 --> 00:41:31,839 Speaker 1: is like one one hundred millions of a centimeter. It's 749 00:41:31,880 --> 00:41:34,719 Speaker 1: like sometimes with those things, I'm like, all right, who 750 00:41:34,840 --> 00:41:38,600 Speaker 1: is this? Like are we just having fun with numbers here? Yeah? 751 00:41:39,160 --> 00:41:42,080 Speaker 1: And like the sixty hundred and sixty nine million dollar 752 00:41:42,120 --> 00:41:44,640 Speaker 1: apartment on the ninety six floor of four D, Like 753 00:41:44,719 --> 00:41:48,480 Speaker 1: I have no fucking idea what that. Yeah, I don't 754 00:41:48,520 --> 00:41:51,040 Speaker 1: know about New York real estate? Who are you? Who 755 00:41:51,320 --> 00:41:54,120 Speaker 1: specifically is this for? I'm like l A's most expensive 756 00:41:54,160 --> 00:41:59,120 Speaker 1: houses seventy million according to selling Sunset terms? How many 757 00:41:59,160 --> 00:42:06,200 Speaker 1: asaibo is that you could have os e bowls every 758 00:42:06,280 --> 00:42:10,160 Speaker 1: day for seven million, which they had done. Yeah, a 759 00:42:10,280 --> 00:42:12,640 Speaker 1: few more drafts of what the actual numbers they wanted 760 00:42:12,640 --> 00:42:14,560 Speaker 1: to pull together were. I think they're they're trying to 761 00:42:14,680 --> 00:42:16,919 Speaker 1: see look no matter how like maybe you make sense 762 00:42:16,920 --> 00:42:20,320 Speaker 1: of the world through pieces of toblarone chocolate or maybe 763 00:42:20,520 --> 00:42:26,200 Speaker 1: they have a few different ones toblerone chocolate versus like 764 00:42:26,440 --> 00:42:29,040 Speaker 1: is what everybody else makes? And Jeff Bezos is like 765 00:42:29,280 --> 00:42:33,600 Speaker 1: five Mount everests or something like that that one of 766 00:42:33,680 --> 00:42:37,280 Speaker 1: a piece of tob larone is American median. That was solid, 767 00:42:37,400 --> 00:42:40,120 Speaker 1: But that and the place Snira were like mixed in 768 00:42:40,280 --> 00:42:41,920 Speaker 1: with a bunch of things where I had to like 769 00:42:42,040 --> 00:42:46,839 Speaker 1: picture fingernail clippings, or you know the hundred and six 770 00:42:46,840 --> 00:42:49,439 Speaker 1: and nine million dollar apartment on the nineties six floor 771 00:42:49,560 --> 00:42:52,920 Speaker 1: of for three to Park Avenue, Like is that just 772 00:42:53,160 --> 00:42:56,200 Speaker 1: to make the point to Jeff Bezos, because I feel 773 00:42:56,200 --> 00:42:59,840 Speaker 1: like he's probably the only person who entered any awareness 774 00:43:00,000 --> 00:43:03,560 Speaker 1: of like that real estate exists like that, who knows? 775 00:43:03,840 --> 00:43:07,040 Speaker 1: You know, Yeah, all right, let's take a quick break 776 00:43:07,040 --> 00:43:09,239 Speaker 1: and we'll come back and talk about the menace that 777 00:43:09,480 --> 00:43:25,040 Speaker 1: is rainbow fentanyl. And we're back. And the media loves 778 00:43:25,080 --> 00:43:30,880 Speaker 1: a good Halloween freak out, like a little like Halloween panic, 779 00:43:31,440 --> 00:43:34,520 Speaker 1: and the d e A is seizing on that trend. 780 00:43:34,840 --> 00:43:38,840 Speaker 1: They released a warning last week that brightly colored fentanyl 781 00:43:38,920 --> 00:43:42,120 Speaker 1: pills were popping up, and there is a new trend 782 00:43:42,480 --> 00:43:47,120 Speaker 1: being used to target children with brightly colored fentanyl pills. 783 00:43:47,920 --> 00:43:50,839 Speaker 1: Because if there's one thing drug dealers love, it's giving 784 00:43:50,840 --> 00:43:54,759 Speaker 1: away drugs for free to a demographic that does not 785 00:43:54,960 --> 00:43:58,560 Speaker 1: have any money of their own. Yeah. Yeah, first of 786 00:43:58,600 --> 00:44:03,600 Speaker 1: you learn at drug dealer camp. That is honestly what 787 00:44:03,760 --> 00:44:06,640 Speaker 1: I thought drug dealers were when I was a kid though, 788 00:44:07,360 --> 00:44:09,080 Speaker 1: because of the DARE program. I thought they were going 789 00:44:09,120 --> 00:44:11,680 Speaker 1: to hold me down and forced me to do drugs, right, 790 00:44:11,760 --> 00:44:13,600 Speaker 1: some guy in a leather jacket. It was just like, 791 00:44:13,680 --> 00:44:16,480 Speaker 1: what's up, kid, because you've had eighties idea of what 792 00:44:16,600 --> 00:44:21,799 Speaker 1: if I drug? No? This uh, this tradition is um 793 00:44:22,840 --> 00:44:25,800 Speaker 1: it's as American as apple damn pie. I feel like 794 00:44:26,040 --> 00:44:30,120 Speaker 1: it's just a thing that's like like that is what 795 00:44:30,239 --> 00:44:34,800 Speaker 1: Halloween is for, like news, like local news, Like I'm like, 796 00:44:34,960 --> 00:44:37,840 Speaker 1: I wonder if they like literally are like, come on, 797 00:44:37,920 --> 00:44:39,840 Speaker 1: Halloweens just around the corner. What are we afraid of 798 00:44:40,000 --> 00:44:44,480 Speaker 1: this year? Like we need something scary because every year 799 00:44:44,520 --> 00:44:48,359 Speaker 1: it's like really, yeah, what's the new thing? Right? Well? 800 00:44:48,400 --> 00:44:50,320 Speaker 1: I love those two that like the d e A 801 00:44:50,560 --> 00:44:53,600 Speaker 1: is also just like excuse, like way to make yourselves 802 00:44:53,640 --> 00:44:56,759 Speaker 1: look more useless. D A Like they're being like, hey, 803 00:44:56,960 --> 00:45:01,040 Speaker 1: warning folks, it's us the drug warlords. They're fucking there's 804 00:45:01,080 --> 00:45:03,920 Speaker 1: candy colored fentinel that will kill your kids. I don't know, 805 00:45:04,000 --> 00:45:06,440 Speaker 1: look y'all, we're trying to keep the drug war going. Please, 806 00:45:06,920 --> 00:45:09,800 Speaker 1: I mean that is the biggest question for me is 807 00:45:09,880 --> 00:45:14,680 Speaker 1: always like who are the people that want to anonymously 808 00:45:15,600 --> 00:45:21,120 Speaker 1: killed children on Halloween? Right? Like, I like, what's the 809 00:45:21,160 --> 00:45:24,880 Speaker 1: profile there? Yeah, we still don't know. That's how you 810 00:45:24,960 --> 00:45:28,440 Speaker 1: advertise how good your ship is? Man, right exactly, it's honestly, 811 00:45:28,480 --> 00:45:32,400 Speaker 1: it's viral marketing. Yeah. Yeah, those twelve tricker treaders they 812 00:45:32,440 --> 00:45:34,600 Speaker 1: got taken out. That was my ship. And there's also 813 00:45:35,200 --> 00:45:37,120 Speaker 1: you have to be careful with any news story that's 814 00:45:37,160 --> 00:45:41,240 Speaker 1: like rainbow based, like that the Rainbow Parties. Yeah, Rainbow 815 00:45:41,360 --> 00:45:44,800 Speaker 1: Parties was that. I wonder if there's just something in 816 00:45:45,400 --> 00:45:47,640 Speaker 1: and George, maybe you can like tell us this, but 817 00:45:47,800 --> 00:45:51,719 Speaker 1: like something in the editor like the editor handbook that 818 00:45:51,920 --> 00:45:55,880 Speaker 1: is like people, you know, people love numbers in in 819 00:45:56,239 --> 00:45:58,960 Speaker 1: their titles of stories, and if you can like get 820 00:45:59,000 --> 00:46:02,719 Speaker 1: a r heard rainbow in there, that's gonna like get 821 00:46:02,840 --> 00:46:05,440 Speaker 1: people clicking, because I mean I think people I think 822 00:46:05,480 --> 00:46:09,400 Speaker 1: the combination of like something childlike and something dangerous always 823 00:46:09,560 --> 00:46:12,600 Speaker 1: freaks people out. Like you know, in this instance, like 824 00:46:12,800 --> 00:46:18,240 Speaker 1: Rainbow Fentel, it's like it's like children are in danger, 825 00:46:19,040 --> 00:46:24,279 Speaker 1: right right? Yeah, yeah, Rainbow Parties was the like kids 826 00:46:24,360 --> 00:46:27,080 Speaker 1: wearing different colored lipsticks and giving each other blow jobs 827 00:46:27,120 --> 00:46:31,359 Speaker 1: at the party and then yeah that Oprah was like, hell, yeah, 828 00:46:31,600 --> 00:46:34,120 Speaker 1: let's let's do this. That tell us about this and 829 00:46:34,239 --> 00:46:36,759 Speaker 1: we should be worried about this. Oh yeah, oh yeah. 830 00:46:36,800 --> 00:46:38,800 Speaker 1: I don't know anybody who's done it personally or know 831 00:46:38,880 --> 00:46:41,200 Speaker 1: if it's true. But oh, Oprah's truly the queen of 832 00:46:41,480 --> 00:46:46,440 Speaker 1: never being held accountable for spreading information. Like we're like, 833 00:46:47,080 --> 00:46:50,480 Speaker 1: can you come get doctor? Is Oprah Dr Phil like 834 00:46:50,600 --> 00:46:55,040 Speaker 1: all these doctors? Yeah, she didn't. She doesn't check credentials necessary. 835 00:46:56,320 --> 00:46:59,000 Speaker 1: She goes. She runs on vibes. Yeah, she runs on vibes. 836 00:46:59,040 --> 00:47:03,359 Speaker 1: She has a gut feeling, and she is the most Yeah, 837 00:47:03,560 --> 00:47:06,320 Speaker 1: it makes sense that she is the most famous American. 838 00:47:08,160 --> 00:47:11,719 Speaker 1: The the the d A Alert actually doesn't even say 839 00:47:11,719 --> 00:47:16,759 Speaker 1: anything about Halloween. It's just the media, you know. Of course, 840 00:47:16,800 --> 00:47:19,680 Speaker 1: you got Fox News and also like local media, which 841 00:47:19,800 --> 00:47:22,959 Speaker 1: is just most local media is just mini Fox News 842 00:47:23,400 --> 00:47:27,160 Speaker 1: like that. They're just going with the same sort of bullshit. 843 00:47:27,400 --> 00:47:30,480 Speaker 1: Scared often literally because there is I don't I don't 844 00:47:30,520 --> 00:47:32,520 Speaker 1: have the information in front of me. But at once, 845 00:47:32,920 --> 00:47:35,319 Speaker 1: at a previous job, I once edited this thing about 846 00:47:35,360 --> 00:47:38,680 Speaker 1: how there are um I think it's called Sinclair broadcast 847 00:47:38,680 --> 00:47:41,440 Speaker 1: and it's just like giant conglomerate that like you know, 848 00:47:41,640 --> 00:47:45,840 Speaker 1: literally runs like fake local news outlets that just like that, 849 00:47:46,040 --> 00:47:51,320 Speaker 1: just like ship out fox markets run and yeah, like 850 00:47:51,680 --> 00:47:53,800 Speaker 1: you can see it whenever they do like those like 851 00:47:54,080 --> 00:47:56,640 Speaker 1: op eds to camera or like all the anchors are 852 00:47:56,719 --> 00:48:00,560 Speaker 1: like totally in line like SYNCD up eating the same 853 00:48:00,600 --> 00:48:03,400 Speaker 1: script and you're like, oh sh it, yeah, that's that's 854 00:48:03,480 --> 00:48:07,160 Speaker 1: really dark. The headline ahead of Halloween drug agents warning 855 00:48:07,239 --> 00:48:12,239 Speaker 1: parents about rainbow fentanyl. Uh, it doesn't like there there 856 00:48:12,400 --> 00:48:17,200 Speaker 1: is no statical like factual connection to Halloween, but it 857 00:48:17,440 --> 00:48:20,879 Speaker 1: is truly before Halloween, so like they can get away 858 00:48:20,960 --> 00:48:23,480 Speaker 1: with putting that up there. But I truly think that 859 00:48:24,320 --> 00:48:27,239 Speaker 1: you're right, Sam that like this is this comes from 860 00:48:27,320 --> 00:48:29,920 Speaker 1: an editorial meeting where they're like, all right, so what 861 00:48:30,000 --> 00:48:32,959 Speaker 1: are we gonna like freak people out about? And could 862 00:48:33,000 --> 00:48:35,799 Speaker 1: it possibly be rainbow colored because it's been a while 863 00:48:35,880 --> 00:48:38,399 Speaker 1: since we've had a rainbow colored freak out. There's also 864 00:48:38,520 --> 00:48:41,759 Speaker 1: something about freaking people out about something that is not real, 865 00:48:42,000 --> 00:48:44,839 Speaker 1: because then people can almost be like few, like our 866 00:48:44,920 --> 00:48:47,920 Speaker 1: kids didn't get the rainbow fent at all, like made 867 00:48:47,960 --> 00:48:52,040 Speaker 1: it through another Halloween, and like because there are real dangerous. 868 00:48:52,080 --> 00:48:53,600 Speaker 1: Like I don't know if you guys have seen there's 869 00:48:53,600 --> 00:48:57,600 Speaker 1: like some statistic about like the number of like kids 870 00:48:57,640 --> 00:49:00,279 Speaker 1: that get hit by a car on Halloween. Like like 871 00:49:00,760 --> 00:49:04,719 Speaker 1: it's like Halloween and it's like you talk about the 872 00:49:04,800 --> 00:49:06,960 Speaker 1: real thing to be afraid of, Like we could talk 873 00:49:07,000 --> 00:49:08,759 Speaker 1: about that, but it's like, but that's not juicy and 874 00:49:08,840 --> 00:49:12,080 Speaker 1: it might happen, so that's not really fun to sort 875 00:49:12,120 --> 00:49:14,799 Speaker 1: of talk about. It's like this is more spooky. It's 876 00:49:14,800 --> 00:49:17,239 Speaker 1: in the Halloween spirit. I mean, it's like there might 877 00:49:17,239 --> 00:49:21,239 Speaker 1: be a vampire right right, and just like how like 878 00:49:21,320 --> 00:49:23,840 Speaker 1: a vampire isn't gonna bite you and turn you, although 879 00:49:23,960 --> 00:49:26,120 Speaker 1: I hope it happens every year for me, it never does. 880 00:49:26,520 --> 00:49:28,520 Speaker 1: It's just like with Vent and all, like it's like 881 00:49:28,760 --> 00:49:31,960 Speaker 1: the whole ship, especially with all the like interacting with 882 00:49:32,080 --> 00:49:34,440 Speaker 1: fentinal videos you see where cops are going down. It's 883 00:49:34,480 --> 00:49:38,600 Speaker 1: like that's also that's also just as real as fucking werewolves, 884 00:49:40,880 --> 00:49:43,719 Speaker 1: Like they're not gonna perish from looking at it. And 885 00:49:43,920 --> 00:49:46,160 Speaker 1: it's interesting about like the candy thing is that like 886 00:49:46,280 --> 00:49:48,759 Speaker 1: it was just because at a bust the d A 887 00:49:48,920 --> 00:49:51,560 Speaker 1: did like they were keeping it in like a skittles 888 00:49:51,600 --> 00:49:55,080 Speaker 1: bag or like a NERD's box, not like so they're like, oh, 889 00:49:55,200 --> 00:49:57,319 Speaker 1: see what they're trying to do. They want some kid 890 00:49:57,440 --> 00:50:00,759 Speaker 1: to open this and then pretend it's adults. It's like, no, 891 00:50:00,880 --> 00:50:03,880 Speaker 1: they're smuggling fucking drugs. Like you don't suddenly be like, 892 00:50:04,160 --> 00:50:07,600 Speaker 1: hey man, you got to open every little like statue 893 00:50:07,640 --> 00:50:10,840 Speaker 1: of Maria for like Catholics, because there's heroin inside. I 894 00:50:10,920 --> 00:50:15,359 Speaker 1: just saw lost. You better keep your eye on that ship. Well, 895 00:50:15,480 --> 00:50:18,800 Speaker 1: we tell ourselves stories in order to live. Yeah, a 896 00:50:18,960 --> 00:50:22,680 Speaker 1: veritable rainbow of different colored cars will be running over 897 00:50:22,800 --> 00:50:26,560 Speaker 1: your children. That's Halloween like that. See you can get 898 00:50:26,640 --> 00:50:30,680 Speaker 1: the rainbow in there and still be scare, tactical and 899 00:50:30,760 --> 00:50:36,239 Speaker 1: actually help people, it seems like. But it was also 900 00:50:36,280 --> 00:50:37,920 Speaker 1: the name of the pride party Sam and I are 901 00:50:37,960 --> 00:50:45,000 Speaker 1: throwing next year. Come on out. Tickets are one hundred 902 00:50:45,080 --> 00:50:53,520 Speaker 1: dollars and they don't someone will die. Yeah. Yeah, it's 903 00:50:54,520 --> 00:50:57,560 Speaker 1: just thinking of like it's kind of like we couldn't 904 00:50:58,200 --> 00:51:02,759 Speaker 1: quit y two K, Like why two K was so 905 00:51:03,440 --> 00:51:08,719 Speaker 1: fucking energizing, Why two K was fucking everything you the 906 00:51:08,800 --> 00:51:11,600 Speaker 1: ship we were buying fucking merch, like where we were 907 00:51:11,680 --> 00:51:14,880 Speaker 1: like half embracing like a potential disaster, but something like 908 00:51:15,000 --> 00:51:17,640 Speaker 1: I don't know, maybe, and it's now it's like we've 909 00:51:17,640 --> 00:51:19,400 Speaker 1: got to keep kind of pushing that Y two K 910 00:51:19,560 --> 00:51:22,840 Speaker 1: button and people like just enough that it seems feasible 911 00:51:22,880 --> 00:51:24,719 Speaker 1: but not enough to cause a full blown panic. It 912 00:51:24,840 --> 00:51:27,160 Speaker 1: really is hard to recapture the magic of Y two K. 913 00:51:27,600 --> 00:51:31,320 Speaker 1: It really combines so many great things, I mean, digital 914 00:51:31,800 --> 00:51:38,280 Speaker 1: fear of the digital right, futurism. There was kind of aesthetic. 915 00:51:38,760 --> 00:51:40,440 Speaker 1: There was community of the kind of aesthetic of like 916 00:51:40,480 --> 00:51:43,560 Speaker 1: a TLC No Scrubs video, you know, right right, but 917 00:51:43,680 --> 00:51:47,239 Speaker 1: make it scary for it to hit mid night and 918 00:51:47,280 --> 00:51:49,480 Speaker 1: sort of be like, I wonder if anything bad is 919 00:51:49,480 --> 00:51:51,600 Speaker 1: gonna happen, and you're like in your heart, you like 920 00:51:51,760 --> 00:51:53,360 Speaker 1: kind of know nothing about it is gonna happen, but 921 00:51:53,360 --> 00:51:55,160 Speaker 1: at the same time it's like maybe. And then when 922 00:51:55,200 --> 00:51:58,200 Speaker 1: nothing bad happens, oh, the party just gets even more popping, 923 00:51:58,440 --> 00:52:01,800 Speaker 1: like what feeling? Well, like, here's the thing I remember, 924 00:52:01,920 --> 00:52:04,320 Speaker 1: right because I was what this was sixteen going on 925 00:52:04,400 --> 00:52:07,360 Speaker 1: sixteen That that year, I was like at my friend's 926 00:52:07,400 --> 00:52:09,840 Speaker 1: house because we weren't going to some fucking cool party 927 00:52:09,880 --> 00:52:11,440 Speaker 1: at the time. We just weren't cool enough to be 928 00:52:11,520 --> 00:52:14,440 Speaker 1: at a like a proper y two K party. But 929 00:52:14,520 --> 00:52:17,040 Speaker 1: I remember earlier that night when it was nine, we're like, yo, 930 00:52:17,080 --> 00:52:20,279 Speaker 1: what happened in New York? Right? Yeah? And they're like 931 00:52:20,400 --> 00:52:22,600 Speaker 1: it's all good, it's all good, and we're like few. 932 00:52:23,040 --> 00:52:24,919 Speaker 1: But in my mind, I don't like to your point, 933 00:52:25,280 --> 00:52:28,440 Speaker 1: like George, I don't know if I, for all the excitement, 934 00:52:28,560 --> 00:52:30,920 Speaker 1: like what would have happened if the ship went at 935 00:52:31,040 --> 00:52:32,680 Speaker 1: like the way we thought it was going to go 936 00:52:32,800 --> 00:52:36,640 Speaker 1: and completely start falling out of this guy, right, I 937 00:52:36,680 --> 00:52:39,120 Speaker 1: wouldn't have been ready even though we were like giddy 938 00:52:39,200 --> 00:52:42,680 Speaker 1: for it. Yeah. Well, I so, first of all, like 939 00:52:42,800 --> 00:52:44,600 Speaker 1: the reality of why two K is we just hadn't 940 00:52:44,640 --> 00:52:47,759 Speaker 1: heard of software updates yet, like and that's all. It 941 00:52:47,960 --> 00:52:51,040 Speaker 1: was like we were still the software update. We were 942 00:52:51,080 --> 00:52:53,800 Speaker 1: still learning about the concept of technology, right. It was 943 00:52:53,840 --> 00:52:56,840 Speaker 1: a different time. So they just told they just focused 944 00:52:56,920 --> 00:52:59,840 Speaker 1: on one software update, and we're like, if this doesn't happen, 945 00:53:00,000 --> 00:53:05,759 Speaker 1: we're fucked. But is there anyway that we like sensed that, 946 00:53:06,000 --> 00:53:08,320 Speaker 1: you know, the thesis of this podcast, at least in 947 00:53:08,440 --> 00:53:11,160 Speaker 1: my mind, is that like there is some like collective 948 00:53:11,480 --> 00:53:16,200 Speaker 1: unconscious you know, that has some intuition that's at least 949 00:53:16,239 --> 00:53:17,960 Speaker 1: worth looking at is there any way that like we 950 00:53:18,160 --> 00:53:22,719 Speaker 1: sensed some apocalypse was coming around Why two K, and 951 00:53:22,840 --> 00:53:26,120 Speaker 1: it just didn't happen until like some reckoning that ended 952 00:53:26,200 --> 00:53:30,160 Speaker 1: up being September eleventh, which does that This is me 953 00:53:30,280 --> 00:53:33,160 Speaker 1: bringing up September eleven twice in a single episode for 954 00:53:33,280 --> 00:53:36,400 Speaker 1: no reason, but that I do wonder if people just 955 00:53:36,520 --> 00:53:39,239 Speaker 1: had a sense that, like America has been fucking up 956 00:53:39,320 --> 00:53:43,760 Speaker 1: and just like sending our like you know, our damage 957 00:53:43,920 --> 00:53:47,520 Speaker 1: elsewhere and ignoring our damage for for so long that 958 00:53:47,680 --> 00:53:51,160 Speaker 1: they were just like this gotta like something bad's gonna happen, right, 959 00:53:51,280 --> 00:53:54,680 Speaker 1: Like something like catastrophic is gonna happen. And then we 960 00:53:54,840 --> 00:53:58,000 Speaker 1: just like made up why two K to like give 961 00:53:58,080 --> 00:54:01,680 Speaker 1: ourselves that and it didn't happen until like a year later. 962 00:54:02,160 --> 00:54:07,279 Speaker 1: That's that's a theory that feels very like prophetic. Like 963 00:54:07,400 --> 00:54:10,640 Speaker 1: I I'm I'm addicted to um the idea of all 964 00:54:10,640 --> 00:54:14,560 Speaker 1: of this having an understanding that something bad is coming, right, 965 00:54:14,640 --> 00:54:15,800 Speaker 1: I don't I don't know how true it is, but 966 00:54:15,840 --> 00:54:17,920 Speaker 1: I love it. I feel like those people would have 967 00:54:18,080 --> 00:54:20,200 Speaker 1: to be a little more aware of like what our 968 00:54:20,239 --> 00:54:23,279 Speaker 1: karmic debt was from a front policy perspective's which no 969 00:54:23,360 --> 00:54:25,360 Speaker 1: one was Maybe I'm wrong, but it was why it 970 00:54:25,480 --> 00:54:29,439 Speaker 1: UK and America's specific thing. Well, I think the free 971 00:54:29,480 --> 00:54:32,880 Speaker 1: cat was American's specific interesting, but they did talk it. 972 00:54:33,080 --> 00:54:34,920 Speaker 1: They did talk about I remember in Japan like it 973 00:54:35,040 --> 00:54:37,360 Speaker 1: was kind of like a funny thing, like they're like 974 00:54:37,440 --> 00:54:39,800 Speaker 1: I remember being there like in the in the build 975 00:54:39,880 --> 00:54:41,600 Speaker 1: up to it, and people would just say like yeah, 976 00:54:41,640 --> 00:54:43,920 Speaker 1: you never know. But it was never like like they 977 00:54:43,960 --> 00:54:46,920 Speaker 1: weren't having like like computer people on like in earnest 978 00:54:47,040 --> 00:54:49,160 Speaker 1: news segments like they did in the US where they're like, 979 00:54:49,280 --> 00:54:51,120 Speaker 1: you know, like when the clock hits, like we'll see 980 00:54:51,160 --> 00:54:53,919 Speaker 1: what happens, right, you weren't they were given those people 981 00:54:54,000 --> 00:54:56,759 Speaker 1: air well because there wasn't that they weren't all trying 982 00:54:56,800 --> 00:55:00,680 Speaker 1: to make money off of like survival bean bowls or whatever. Yeah. 983 00:55:01,040 --> 00:55:03,720 Speaker 1: I do think that the time period between January twenty 984 00:55:04,480 --> 00:55:07,120 Speaker 1: January two thousand and September two thousand one is such 985 00:55:07,160 --> 00:55:10,200 Speaker 1: a like maybe someone has already done this, but I'm 986 00:55:10,200 --> 00:55:11,759 Speaker 1: like someone should write a book about it, because it 987 00:55:11,960 --> 00:55:15,040 Speaker 1: was like it was the the optimism maybe in oral history. 988 00:55:15,960 --> 00:55:18,839 Speaker 1: It was like the it was the this brief time 989 00:55:18,880 --> 00:55:23,480 Speaker 1: when there was optimism about a new millennium and then 990 00:55:23,560 --> 00:55:26,040 Speaker 1: It's just like and then after that, any kind of 991 00:55:26,120 --> 00:55:29,200 Speaker 1: history would write after that would of course have eleven 992 00:55:29,280 --> 00:55:34,000 Speaker 1: as like the definitive first thing essentially that happened. Yeah, right, 993 00:55:34,800 --> 00:55:37,160 Speaker 1: But I'm trying to think, like what culture was released 994 00:55:37,200 --> 00:55:44,000 Speaker 1: during that time. It wasn't good. Yeah, movies that were 995 00:55:44,000 --> 00:55:48,719 Speaker 1: released in two thousand, oh yeah, bring it on, a 996 00:55:48,800 --> 00:55:53,800 Speaker 1: scary movie. Didn't Gladiator like win all the Academy Awards 997 00:55:53,960 --> 00:55:56,839 Speaker 1: and it's just like a real straight down the middle 998 00:55:57,080 --> 00:56:02,879 Speaker 1: action movie. Yeah. Yeah, American Psycho. Great movie. Yeah, really 999 00:56:02,920 --> 00:56:05,440 Speaker 1: good movie. But that wasn't popular at the time and 1000 00:56:05,600 --> 00:56:08,560 Speaker 1: has since become extremely like it didn't it didn't like 1001 00:56:08,920 --> 00:56:11,920 Speaker 1: crush at the box office, but it's become like the 1002 00:56:12,160 --> 00:56:15,000 Speaker 1: movie from that time period that I feel like most people. 1003 00:56:15,760 --> 00:56:17,879 Speaker 1: I mean, the fact the Gladiator is like the one 1004 00:56:17,960 --> 00:56:20,480 Speaker 1: best picture or did it one best picture? That's not 1005 00:56:20,600 --> 00:56:23,560 Speaker 1: that inspiring to me. Right, Maybe I'm at that time 1006 00:56:23,600 --> 00:56:27,320 Speaker 1: period being fruitful. Yeah, I don't know if it was fruitful, 1007 00:56:27,400 --> 00:56:30,799 Speaker 1: but it was like very specific, you know, I think, 1008 00:56:30,880 --> 00:56:32,480 Speaker 1: But yeah, with the White Two, I mean, it might 1009 00:56:32,520 --> 00:56:35,400 Speaker 1: have been more that we probably knew that technology, like 1010 00:56:35,520 --> 00:56:37,880 Speaker 1: we couldn't totally wrap our heads around it. And now 1011 00:56:37,960 --> 00:56:40,560 Speaker 1: we're in this like social media quagmire we're in now 1012 00:56:40,680 --> 00:56:44,120 Speaker 1: where maybe if I think, if anything, maybe our intuition 1013 00:56:44,239 --> 00:56:48,560 Speaker 1: was more about like technology is about to like this 1014 00:56:48,640 --> 00:56:51,759 Speaker 1: is about to be beyond our capabilities as a species 1015 00:56:51,880 --> 00:56:54,680 Speaker 1: to deal with. Yeah, like I think that. And then 1016 00:56:54,800 --> 00:56:56,759 Speaker 1: because I think that really came to pass, and now 1017 00:56:56,840 --> 00:56:59,759 Speaker 1: we're like wow, because what just four short years later 1018 00:57:00,000 --> 00:57:02,839 Speaker 1: of Mark Zuckerberg click clack in a way, I mean 1019 00:57:02,920 --> 00:57:04,680 Speaker 1: I remember, you know, just as a kid, I remember 1020 00:57:04,719 --> 00:57:08,080 Speaker 1: being like, something's gonna happen with Cambridge Analytica, right, yeah, 1021 00:57:08,200 --> 00:57:14,160 Speaker 1: you were to seem I mean this the summer before 1022 00:57:14,239 --> 00:57:16,800 Speaker 1: No eleven, like you know, literally on the on the 1023 00:57:16,920 --> 00:57:21,600 Speaker 1: front page of I think Time magazine when like on 1024 00:57:22,200 --> 00:57:25,560 Speaker 1: September eleven was the Summer of the Shark and it 1025 00:57:25,680 --> 00:57:28,240 Speaker 1: was about how they were like three shark attacks in 1026 00:57:28,360 --> 00:57:32,280 Speaker 1: America that summer, and so like it might just be 1027 00:57:32,480 --> 00:57:37,200 Speaker 1: that America needed something to be afraid of and because 1028 00:57:37,320 --> 00:57:41,800 Speaker 1: they like just were so closed off to the reality 1029 00:57:42,040 --> 00:57:44,680 Speaker 1: of the world that they had to like make up stories. 1030 00:57:44,800 --> 00:57:50,400 Speaker 1: But like now we have now, now we have Rainbow Fentinel, 1031 00:57:50,440 --> 00:57:52,600 Speaker 1: we have things to be No, we have so much 1032 00:57:52,720 --> 00:57:55,520 Speaker 1: to actually be worried about, and we're still making up 1033 00:57:55,600 --> 00:57:59,880 Speaker 1: stories to like like Rainbow fentinl to like give us 1034 00:58:00,160 --> 00:58:03,160 Speaker 1: fake things to be worried about, because maybe that's just like, well, 1035 00:58:03,200 --> 00:58:07,480 Speaker 1: it's tradition, and also it's just more reassuring there's actually 1036 00:58:07,520 --> 00:58:10,000 Speaker 1: no they're there, yeah, or it's like Y two k 1037 00:58:10,240 --> 00:58:14,720 Speaker 1: like our farewell to like frivolous bullshit fearmongering because we 1038 00:58:14,800 --> 00:58:17,440 Speaker 1: were about to enter the era of like real fucking 1039 00:58:17,480 --> 00:58:20,880 Speaker 1: ship like because unless you were like truly aware and 1040 00:58:21,040 --> 00:58:23,800 Speaker 1: up to date on everything. For me as a teenager, 1041 00:58:23,880 --> 00:58:26,400 Speaker 1: I lived in a couple of total ignorant bliss of 1042 00:58:26,520 --> 00:58:29,280 Speaker 1: like I don't know, dude, fucking John Oh got a 1043 00:58:29,360 --> 00:58:32,400 Speaker 1: new fucking pathfinder, like let's sucking drive up to the 1044 00:58:32,520 --> 00:58:36,240 Speaker 1: mall type ship and then you're like, wow, oh shit, right, 1045 00:58:36,880 --> 00:58:39,720 Speaker 1: like America is doing stuff around Like that was sort 1046 00:58:39,720 --> 00:58:41,920 Speaker 1: of my process. After nine eleven, our history teacher like, 1047 00:58:41,960 --> 00:58:43,920 Speaker 1: does anyone want to take a stab at why anything 1048 00:58:44,000 --> 00:58:45,800 Speaker 1: might have happened in the United States? And we were 1049 00:58:45,840 --> 00:58:53,000 Speaker 1: like what, Yeah, you must have more liberal school than 1050 00:58:53,040 --> 00:58:56,200 Speaker 1: I did because mine. Mine was like, yes, these evil 1051 00:58:56,400 --> 00:59:01,200 Speaker 1: people they're coming our freedom. They gotta say. As someone 1052 00:59:01,240 --> 00:59:03,240 Speaker 1: who at the time was living in America with non 1053 00:59:03,320 --> 00:59:06,400 Speaker 1: American parents. It was shocking the level of ignor. I 1054 00:59:06,440 --> 00:59:08,480 Speaker 1: mean the fact that suddenly our pizza was coming in 1055 00:59:08,560 --> 00:59:11,680 Speaker 1: American flag boxes. I was like, what is going on here? 1056 00:59:11,920 --> 00:59:16,440 Speaker 1: Like terrifying. Yeah, I was like, I gotta stand for 1057 00:59:16,520 --> 00:59:19,560 Speaker 1: the fucking national anthem. Now. I was like I used 1058 00:59:19,600 --> 00:59:23,480 Speaker 1: to get away with like sitting down, not doing And 1059 00:59:23,520 --> 00:59:25,840 Speaker 1: then also I remember as kind of like an impressionable kid, 1060 00:59:25,920 --> 00:59:28,120 Speaker 1: but like not understanding any of the context and being like, well, 1061 00:59:28,160 --> 00:59:31,640 Speaker 1: everyone has all these cars have support our troops stickers 1062 00:59:31,680 --> 00:59:33,400 Speaker 1: on them. I guess that must be a status symbol. 1063 00:59:33,520 --> 00:59:35,720 Speaker 1: And I like made my parents buy one because I 1064 00:59:35,760 --> 00:59:37,160 Speaker 1: saw it at the supermarket. I was, I want to 1065 00:59:37,200 --> 00:59:39,960 Speaker 1: be like all the other American families. Oh my god, 1066 00:59:40,360 --> 00:59:43,360 Speaker 1: which is such a wall because you know, where did 1067 00:59:43,440 --> 00:59:46,240 Speaker 1: you grow up? Well, I I I mostly grew up 1068 00:59:46,280 --> 00:59:48,680 Speaker 1: in Greece. My parents are Greek. But then there was 1069 00:59:48,720 --> 00:59:50,600 Speaker 1: a brief period for like seven years when we lived 1070 00:59:50,600 --> 00:59:52,320 Speaker 1: in New Jersey, which is why I don't have an 1071 00:59:52,360 --> 00:59:57,080 Speaker 1: action or anything. And that happened to overlap with nine, right, 1072 00:59:57,160 --> 00:59:59,800 Speaker 1: So yeah, it's yeah, definitely, it was like I was 1073 01:00:00,080 --> 01:00:04,280 Speaker 1: from eight to two thousand five, I think really the 1074 01:00:04,920 --> 01:00:07,640 Speaker 1: wonderful years kind of between the Bill Clinton scandal and 1075 01:00:08,000 --> 01:00:15,240 Speaker 1: the second Bush administration the highlights. Yeah, yeah, yeah, Well guys, 1076 01:00:15,280 --> 01:00:18,720 Speaker 1: it's been so fun having you on the Daily Zeitgeist. 1077 01:00:19,120 --> 01:00:22,680 Speaker 1: Like I said, huge fan of your show. Where can 1078 01:00:22,760 --> 01:00:27,080 Speaker 1: people find you? Follow you all that good stuff? Well one, 1079 01:00:27,160 --> 01:00:30,120 Speaker 1: thanks so much for having us to fun. You can 1080 01:00:30,200 --> 01:00:33,840 Speaker 1: find us both on Instagram and Twitter, and uh, like, 1081 01:00:34,080 --> 01:00:37,080 Speaker 1: I'm Sam Taggart on Instagram and Sam t Taggert on 1082 01:00:37,120 --> 01:00:39,720 Speaker 1: Twitter and George Twitter you and I'm George Severis on 1083 01:00:39,840 --> 01:00:42,960 Speaker 1: both should we We do have three live shows coming up. 1084 01:00:45,040 --> 01:00:47,640 Speaker 1: I have them written down because we we we just um, 1085 01:00:48,240 --> 01:00:50,080 Speaker 1: it doesn't matter, but we So we have one in 1086 01:00:50,160 --> 01:00:52,720 Speaker 1: New York for the New York Comedy Festival at the 1087 01:00:52,760 --> 01:00:55,439 Speaker 1: Bellhouse on Wednesday, November nine, and then we have two 1088 01:00:55,520 --> 01:00:58,040 Speaker 1: coming up in l A one for the Vulture Festival 1089 01:00:58,280 --> 01:01:01,400 Speaker 1: and on November twelth, and one more at the Allegian 1090 01:01:01,440 --> 01:01:04,440 Speaker 1: Theater on November fourteen. So that's that's what we have 1091 01:01:04,560 --> 01:01:07,520 Speaker 1: to promote today. Thank you for giving us a space 1092 01:01:07,600 --> 01:01:11,040 Speaker 1: and for and and and and the opportunity to do that. Yeah, 1093 01:01:11,280 --> 01:01:13,760 Speaker 1: of course for you. And is there a tweet or 1094 01:01:13,920 --> 01:01:16,120 Speaker 1: some of the work of social media that you guys 1095 01:01:16,160 --> 01:01:19,080 Speaker 1: have been joining. Oh yeah, Sam, do you have one? 1096 01:01:19,680 --> 01:01:22,280 Speaker 1: You go first? Okay, so that I actually it's just 1097 01:01:22,360 --> 01:01:25,160 Speaker 1: cheating because I've already treated it out also because I 1098 01:01:25,280 --> 01:01:27,760 Speaker 1: found out about it via another podcast, who Weekly, But 1099 01:01:28,120 --> 01:01:30,280 Speaker 1: I have been introduced to this. Um I'm not on 1100 01:01:30,400 --> 01:01:33,160 Speaker 1: TikTok intentionally so because I think it would ruin my life. 1101 01:01:33,520 --> 01:01:35,640 Speaker 1: But I've been introduced to this TikTok account called the 1102 01:01:35,720 --> 01:01:38,440 Speaker 1: v I P List I believe, and it's these two 1103 01:01:38,600 --> 01:01:41,680 Speaker 1: girls in New York that go to kind of iconic 1104 01:01:41,800 --> 01:01:44,240 Speaker 1: New York restaurants and review them. But in the most 1105 01:01:45,360 --> 01:01:46,840 Speaker 1: I think they're doing it as a bit in this 1106 01:01:46,960 --> 01:01:51,360 Speaker 1: kind of grading voice where they're like that the steadcare 1107 01:01:51,640 --> 01:01:53,760 Speaker 1: was terrible, then we got to art and it was awesome, 1108 01:01:54,760 --> 01:01:57,240 Speaker 1: And that's kind of like I'm not exaggerating. So I 1109 01:01:57,320 --> 01:02:00,600 Speaker 1: really want to especially shout out the bouts Is our video, 1110 01:02:00,920 --> 01:02:03,560 Speaker 1: which I kind of happened upon because I was, you know, 1111 01:02:03,600 --> 01:02:06,720 Speaker 1: because of the James Corden thing. It really is, it 1112 01:02:06,840 --> 01:02:09,320 Speaker 1: really is. It brings me so much joy and I 1113 01:02:09,320 --> 01:02:11,440 Speaker 1: have not watched a truly like seventeen times. I really 1114 01:02:11,520 --> 01:02:15,360 Speaker 1: encourage everyone to to look it up. Yeah. At one 1115 01:02:15,400 --> 01:02:17,600 Speaker 1: point they go they were talking about something and they're like, 1116 01:02:17,720 --> 01:02:22,360 Speaker 1: this tart needs a faro past. Oh no, it's I 1117 01:02:22,400 --> 01:02:26,600 Speaker 1: think it's someone get this tart a faro past. Wow. 1118 01:02:27,240 --> 01:02:29,280 Speaker 1: I guess as a companion piece to that, I would 1119 01:02:29,320 --> 01:02:33,280 Speaker 1: say Grace Kolan Schmidt's post about falt Tazaar where she 1120 01:02:33,360 --> 01:02:35,880 Speaker 1: was standing in front of it saying welcome back James. 1121 01:02:37,840 --> 01:02:41,680 Speaker 1: That was so funny. I also just imagine I know, 1122 01:02:41,880 --> 01:02:43,919 Speaker 1: I mean, we know Grace and we know where she lives, 1123 01:02:44,000 --> 01:02:47,280 Speaker 1: and it's not close about imagining like getting on a train, 1124 01:02:47,760 --> 01:02:50,520 Speaker 1: getting on a train from Brooklyn to go to Baltasar 1125 01:02:50,680 --> 01:02:52,800 Speaker 1: to take the photo for her post. And I gotta 1126 01:02:52,840 --> 01:02:55,080 Speaker 1: say it was worth it. That was worth it, I mean. 1127 01:02:55,200 --> 01:02:57,280 Speaker 1: And also did she have poster board? Did she have 1128 01:02:57,360 --> 01:02:59,400 Speaker 1: to also run to CBS pick up poster board and 1129 01:02:59,480 --> 01:03:01,880 Speaker 1: markers making science is welcome back James, and then go 1130 01:03:01,960 --> 01:03:08,040 Speaker 1: to mountain then snap a picture. Is impressive? Yeah, Miles, 1131 01:03:08,080 --> 01:03:11,520 Speaker 1: where can people find you? What's a tweet you've been enjoying? Oh? Man, 1132 01:03:11,800 --> 01:03:14,040 Speaker 1: you can uh find me on Twitter and Instagram at 1133 01:03:14,120 --> 01:03:16,480 Speaker 1: Miles of Gray. Check Jack and I out on our 1134 01:03:16,520 --> 01:03:20,600 Speaker 1: basketball podcast. Miles and Jack got mad Moostie's uh, and 1135 01:03:20,720 --> 01:03:23,560 Speaker 1: also check me out with Sophia Alexandra on our ninety 1136 01:03:23,640 --> 01:03:28,000 Speaker 1: Day Fiance podcast for twenty Day Fiance. Uh. Some tweets 1137 01:03:28,120 --> 01:03:31,320 Speaker 1: that I like. First one from past guests, so you 1138 01:03:31,440 --> 01:03:34,480 Speaker 1: might be hearing from soon. Paulo Vignalan at Polo viganl 1139 01:03:34,520 --> 01:03:38,440 Speaker 1: and tweeted me looking for advice. No, not you, um 1140 01:03:39,000 --> 01:03:42,800 Speaker 1: should feel so about right, And then Pizzerina's Borrow at 1141 01:03:43,120 --> 01:03:46,160 Speaker 1: Tela Mundo tweeted, if your best he doesn't permanently alter 1142 01:03:46,280 --> 01:03:49,640 Speaker 1: the linguistic center of your brain, they are not your bestie. Uh. 1143 01:03:49,680 --> 01:03:52,479 Speaker 1: And that's so true when the weird ways we speak 1144 01:03:52,600 --> 01:03:55,560 Speaker 1: ruboff on each other. Uh. I'm sure many of you 1145 01:03:55,640 --> 01:03:58,560 Speaker 1: know just from listening to podcasts that can ruin your brain. 1146 01:03:59,520 --> 01:04:01,920 Speaker 1: That was all so one of mine, which I think 1147 01:04:02,000 --> 01:04:04,920 Speaker 1: that's something about the mind meld that happens also to 1148 01:04:05,040 --> 01:04:07,479 Speaker 1: your the linguistic part of your brain. When you post 1149 01:04:07,600 --> 01:04:10,160 Speaker 1: three hours of podcast together on a daily basis and 1150 01:04:10,280 --> 01:04:12,360 Speaker 1: you start liking the same tweets, I wonder if we 1151 01:04:12,480 --> 01:04:14,840 Speaker 1: liked it at the exact same time, Like we just 1152 01:04:15,280 --> 01:04:18,760 Speaker 1: get off this and immediately like do all the same ship. Well, 1153 01:04:18,800 --> 01:04:20,800 Speaker 1: we'll text each other when we like a tweet a 1154 01:04:20,920 --> 01:04:26,480 Speaker 1: did you like it? Uh? Colin Deerson tweeted Taylor swift 1155 01:04:26,560 --> 01:04:28,720 Speaker 1: fandom is q and on for people who were a 1156 01:04:28,800 --> 01:04:32,400 Speaker 1: pleasure to have in class. I don't know if that's 1157 01:04:32,440 --> 01:04:35,000 Speaker 1: true Taylor Swift fans, but the fact that I'm so 1158 01:04:35,160 --> 01:04:37,440 Speaker 1: scared that I'm like preempting it by being like, I 1159 01:04:37,440 --> 01:04:39,640 Speaker 1: don't look, you know, I don't know if that's true, 1160 01:04:39,800 --> 01:04:41,560 Speaker 1: So like, don't be mad at me. I just thought 1161 01:04:41,560 --> 01:04:44,760 Speaker 1: it was funny, probably suggested that maybe there's something too 1162 01:04:45,120 --> 01:04:48,560 Speaker 1: that tweet. Uh. You can find me on Twitter at 1163 01:04:48,640 --> 01:04:51,520 Speaker 1: Jack Underscore O'Brien. You can find us on Twitter at 1164 01:04:51,600 --> 01:04:54,240 Speaker 1: Daily Zeitgeist. Were at the Daily Zeitgeist on Instagram. We 1165 01:04:54,280 --> 01:04:57,160 Speaker 1: have a Facebook fan page on a website daily zieis 1166 01:04:57,240 --> 01:04:59,800 Speaker 1: dot com where we post our episodes on our footnotes 1167 01:05:00,280 --> 01:05:01,920 Speaker 1: no over link off to the information that we talked 1168 01:05:01,960 --> 01:05:04,280 Speaker 1: about in today's episode, as well as a song that 1169 01:05:04,400 --> 01:05:06,560 Speaker 1: we think you might enjoy miles with song that we 1170 01:05:06,600 --> 01:05:10,720 Speaker 1: think people radio. Uh. This is from this artist Maya, 1171 01:05:11,000 --> 01:05:14,240 Speaker 1: who is like a sax player, who who's like played 1172 01:05:14,280 --> 01:05:16,680 Speaker 1: in like the Dad Kings, like with Sharon Jones and 1173 01:05:16,880 --> 01:05:19,880 Speaker 1: like the Buddhos band. Like Mark ronson the roots like 1174 01:05:19,960 --> 01:05:23,480 Speaker 1: guys like totally has his chops as like a sax player, 1175 01:05:23,680 --> 01:05:26,280 Speaker 1: but in his solo stuff, he's like melding kind of 1176 01:05:26,360 --> 01:05:29,320 Speaker 1: his own like indigenous heritage with like just other types 1177 01:05:29,360 --> 01:05:31,880 Speaker 1: of music that he's played, and it's just like makes 1178 01:05:31,920 --> 01:05:34,680 Speaker 1: for a nice you know, house instrumental like played in 1179 01:05:34,760 --> 01:05:38,320 Speaker 1: your house instrumental music. So this track is called Kukaria 1180 01:05:38,480 --> 01:05:41,720 Speaker 1: t u k A r i A by Coach c 1181 01:05:41,920 --> 01:05:44,320 Speaker 1: O C H E M E a uh and just 1182 01:05:44,760 --> 01:05:46,520 Speaker 1: the dope track and a lot of his work is 1183 01:05:46,560 --> 01:05:48,680 Speaker 1: pretty interesting, so check it all out if you want to. 1184 01:05:49,200 --> 01:05:51,840 Speaker 1: Al Right, well, The Daily Zika is a production by 1185 01:05:51,920 --> 01:05:53,920 Speaker 1: Heart Radio. For more podcast for my heart Radio, visit 1186 01:05:53,960 --> 01:05:56,480 Speaker 1: the heart Radio app, Apple podcast, or wherever you listen 1187 01:05:56,480 --> 01:05:58,200 Speaker 1: to your favorite shows. That is going to do it 1188 01:05:58,280 --> 01:06:00,240 Speaker 1: for us this morning. We're back this afternoon to tell 1189 01:06:00,280 --> 01:06:01,600 Speaker 1: you what is trending. I want to talk to you 1190 01:06:01,640 --> 01:06:02,600 Speaker 1: all that like by