1 00:00:00,280 --> 00:00:03,400 Speaker 1: Hello the Internet, and welcome to Season two thirty six, 2 00:00:03,440 --> 00:00:07,080 Speaker 1: Episode three of Joys Like Guys Day production of I 3 00:00:07,200 --> 00:00:10,000 Speaker 1: Heart Radio. This is a podcast where we take a 4 00:00:10,119 --> 00:00:16,120 Speaker 1: deep dive into America's shared consciousness. It's Wednesday, May eleventh, 5 00:00:17,000 --> 00:00:18,920 Speaker 1: which of course means that it is a National School 6 00:00:19,000 --> 00:00:23,720 Speaker 1: Nurse Day. It is also National Twilight Zone Day. Yeah, 7 00:00:23,880 --> 00:00:27,400 Speaker 1: we're talking about the Ocean Zone? Are we talking about 8 00:00:27,400 --> 00:00:30,320 Speaker 1: the TV proper words? I think we are talking about 9 00:00:30,360 --> 00:00:33,400 Speaker 1: you have entered the twilight Zone, the TV show which 10 00:00:34,040 --> 00:00:35,880 Speaker 1: I don't know why it's on May eleventh because it 11 00:00:35,960 --> 00:00:40,760 Speaker 1: premiered in on October one, but hey as whatever knows. Yeah, wait, 12 00:00:40,800 --> 00:00:43,519 Speaker 1: are you a big twilight Zone Him? Nope, that's just 13 00:00:43,560 --> 00:00:46,640 Speaker 1: me reading the information about the holiday. I mean, you 14 00:00:46,680 --> 00:00:50,920 Speaker 1: can just fake it, Like I feel like, even in 15 00:00:50,920 --> 00:00:55,400 Speaker 1: my October one in the back of my mind, I'm 16 00:00:55,400 --> 00:00:58,240 Speaker 1: not like I've like I just had a as a kid. 17 00:00:58,320 --> 00:01:01,000 Speaker 1: I was like it's in black and white him, and 18 00:01:01,000 --> 00:01:03,640 Speaker 1: then as I got older, they're like, no, the writing 19 00:01:03,720 --> 00:01:05,959 Speaker 1: is really good. And then I watched him like, Okay, 20 00:01:06,000 --> 00:01:09,360 Speaker 1: you had a point, right. So that's my relationship with 21 00:01:09,400 --> 00:01:11,200 Speaker 1: twilight Zone. But I'm not gonna front like I'm a 22 00:01:11,280 --> 00:01:14,720 Speaker 1: super fand I never watched it growing up. I watched 23 00:01:15,120 --> 00:01:18,360 Speaker 1: Alfred Hitchcock Presents. I remember that that was also in 24 00:01:18,440 --> 00:01:21,959 Speaker 1: black and white, but I remember it like being primetime 25 00:01:22,080 --> 00:01:24,000 Speaker 1: viewing for something. Is that the one where he would 26 00:01:24,040 --> 00:01:26,880 Speaker 1: walk into his like yeah, a little bit on the side, yeah, 27 00:01:27,280 --> 00:01:31,720 Speaker 1: ut silhouette, Yeah yeah yeah. Well anyways, my name is 28 00:01:31,840 --> 00:01:36,560 Speaker 1: Jack O'Brien, a k my Anaconda. Don't want none unless 29 00:01:36,560 --> 00:01:41,080 Speaker 1: you're pro boer Sean. That is courtesy Ruthless Fudge at 30 00:01:41,200 --> 00:01:44,600 Speaker 1: Ruthless Spudge on Twitter, and I'm through to be joined 31 00:01:44,600 --> 00:01:49,320 Speaker 1: as always buy my co host, Mr Miles Gray, Miles 32 00:01:49,400 --> 00:01:54,400 Speaker 1: Gray Gay, the Blaze and visual artist your boy ko 33 00:01:54,520 --> 00:01:58,960 Speaker 1: Sama straight twisting Backwoods on Lankershon they called me Hideo NoHo, 34 00:01:59,200 --> 00:02:02,520 Speaker 1: get out my way. I'm here, Thank you so much, 35 00:02:02,920 --> 00:02:07,080 Speaker 1: Ippy to use something the kind of intro to I 36 00:02:07,120 --> 00:02:09,600 Speaker 1: just wanted to feel. I've had a song in my heart. 37 00:02:09,760 --> 00:02:12,640 Speaker 1: You know well, Miles, we are thrilled to be joined 38 00:02:13,160 --> 00:02:17,680 Speaker 1: in our third and fourth seats. Former Marvel entertainment lawyer, 39 00:02:17,720 --> 00:02:21,120 Speaker 1: current Big Law media attorney and an entertainment enthusiast who 40 00:02:21,120 --> 00:02:25,560 Speaker 1: hosts the podcast Better Call Paul, It's Mesh La Khani 41 00:02:25,639 --> 00:02:30,000 Speaker 1: and Paul Sarker. What's up? Hello, Hello, Hey guys, how 42 00:02:30,040 --> 00:02:33,519 Speaker 1: are you doing? Hey guys, thanks for having us, Thanks 43 00:02:33,520 --> 00:02:36,720 Speaker 1: for awesome to be here. We're taking tips on those intros. 44 00:02:36,840 --> 00:02:40,079 Speaker 1: That's uh, that's quite an intro, you guys have there. 45 00:02:40,200 --> 00:02:42,040 Speaker 1: You got any aks, you got any you got any 46 00:02:42,080 --> 00:02:44,960 Speaker 1: sing song? Word play on your names? Not off the top. 47 00:02:45,120 --> 00:02:47,520 Speaker 1: You can't put me on the spot like that. Ak 48 00:02:47,600 --> 00:02:51,880 Speaker 1: a John Mesh like John Tesh. That was what I 49 00:02:51,919 --> 00:02:55,359 Speaker 1: was gonna say. Yeah, well some people ak Mesh like 50 00:02:55,480 --> 00:03:01,000 Speaker 1: the shorts. Yeah, there you go, like the shows me 51 00:03:01,200 --> 00:03:04,520 Speaker 1: Marina like the Jamaicans wear that meshed tank top. Yeah, 52 00:03:04,680 --> 00:03:09,119 Speaker 1: I like that. Also, I think that's kid kid Marrows Aku. No, 53 00:03:11,120 --> 00:03:13,760 Speaker 1: he's the Mesh Marina with the cold miss meat or 54 00:03:13,800 --> 00:03:15,919 Speaker 1: cool demeanor and a flat forget it's been so long 55 00:03:15,960 --> 00:03:19,160 Speaker 1: since the art has come out. But anyway, another thing, subtle, 56 00:03:19,360 --> 00:03:25,000 Speaker 1: subtle shade. We're not just fans. Where are you guys? 57 00:03:25,080 --> 00:03:28,880 Speaker 1: Coming to us from NYC? And I heard of it 58 00:03:29,000 --> 00:03:33,160 Speaker 1: right now? Yeah, sir, the big Old Apple, I think, 59 00:03:33,880 --> 00:03:40,360 Speaker 1: h yeah, the Big Old Apple. Apple never sleeps well, actually, 60 00:03:40,360 --> 00:03:42,320 Speaker 1: you know it does sleep. I was out last night 61 00:03:42,320 --> 00:03:44,400 Speaker 1: with friends and we couldn't find anywhere to go to. 62 00:03:44,800 --> 00:03:48,839 Speaker 1: It was completely dead. So it sleeps on Mondays. There 63 00:03:48,880 --> 00:03:51,640 Speaker 1: you go, not in a good way. When I worked 64 00:03:51,680 --> 00:03:55,600 Speaker 1: for Diane Sawyer, I had to stake out the clubs 65 00:03:55,840 --> 00:03:59,840 Speaker 1: in the meatpacking district to interview young men about whether 66 00:03:59,840 --> 00:04:05,120 Speaker 1: they were using viagra as a party drug. And and 67 00:04:05,240 --> 00:04:08,000 Speaker 1: they they were like the clubs out until like four 68 00:04:08,320 --> 00:04:12,040 Speaker 1: and it, Yeah, it got pretty sleepy there for a 69 00:04:12,120 --> 00:04:15,320 Speaker 1: little while, and I was cold. But people were using 70 00:04:15,800 --> 00:04:18,839 Speaker 1: viagra as a party drug. Wait, so Jack, We're just 71 00:04:18,920 --> 00:04:20,600 Speaker 1: outside the club, like, hey, man, can I talk to 72 00:04:20,640 --> 00:04:22,400 Speaker 1: you really quick there? Like yeah, I mean I like 73 00:04:23,080 --> 00:04:26,680 Speaker 1: via a party What was the what was the answer 74 00:04:26,720 --> 00:04:30,159 Speaker 1: you're getting? They're like, no, it's called something else. Mostly 75 00:04:30,200 --> 00:04:33,920 Speaker 1: it was I would do you have some? And no, 76 00:04:34,120 --> 00:04:37,200 Speaker 1: this isn't that kind of Yeah, No, I'm here for 77 00:04:37,400 --> 00:04:43,760 Speaker 1: with ABC News. What bro leave me alone? Yeah, I don't. 78 00:04:43,800 --> 00:04:48,520 Speaker 1: I don't know what the conceivable like what conceivable story 79 00:04:48,560 --> 00:04:52,360 Speaker 1: they were after there, But it sounds like a thing 80 00:04:52,600 --> 00:04:56,360 Speaker 1: older people would think of. It's like, man, imagine if 81 00:04:56,360 --> 00:04:59,560 Speaker 1: it's doing this to me at fifty five, what are 82 00:04:59,600 --> 00:05:02,680 Speaker 1: the young eyes doing? Are they just are they just 83 00:05:02,720 --> 00:05:06,720 Speaker 1: blasting off to another planet, like Jack, go down there, 84 00:05:06,760 --> 00:05:10,960 Speaker 1: give me three words on this. Mike Nichols was like, hey, 85 00:05:11,160 --> 00:05:13,920 Speaker 1: you know what, Diane, the stuff could work for a 86 00:05:13,920 --> 00:05:16,720 Speaker 1: lot of people. The I I do remember that, like 87 00:05:16,760 --> 00:05:19,320 Speaker 1: one of the young people who like started with me, 88 00:05:19,640 --> 00:05:22,800 Speaker 1: like I was five when I started there, and you know, 89 00:05:22,880 --> 00:05:25,920 Speaker 1: she was around the same age, and she had all 90 00:05:25,920 --> 00:05:28,320 Speaker 1: these scoops on like what the kids were up to 91 00:05:28,440 --> 00:05:33,000 Speaker 1: that I'm pretty sure she was making up and like 92 00:05:33,080 --> 00:05:35,000 Speaker 1: one of the I think I think the viagra thing 93 00:05:35,080 --> 00:05:37,120 Speaker 1: might have been one of them. Another was called toothing, 94 00:05:37,560 --> 00:05:40,880 Speaker 1: which was where like you use bluetooth to just like 95 00:05:40,960 --> 00:05:43,960 Speaker 1: hit people up in randomly proposition the people around you 96 00:05:44,080 --> 00:05:48,800 Speaker 1: to see if they want to have sex. That actually 97 00:05:48,800 --> 00:05:52,600 Speaker 1: sounds like something that did exist. I think there was 98 00:05:52,680 --> 00:05:55,640 Speaker 1: an app that works. Yeah, yeah, and that's why we 99 00:05:55,680 --> 00:05:58,800 Speaker 1: spent a year looking into it and never never found anything. 100 00:06:00,160 --> 00:06:02,960 Speaker 1: People do that with the AirPods. Now, they'll they'll try 101 00:06:03,000 --> 00:06:05,960 Speaker 1: to connect to people's AirPods and and play some stuff 102 00:06:06,000 --> 00:06:07,800 Speaker 1: on it and see if they can get some type 103 00:06:07,800 --> 00:06:10,440 Speaker 1: of interaction. I don't know. Yeah, God, I can't think 104 00:06:10,480 --> 00:06:14,159 Speaker 1: of an easier way for me to be like, oh cool, 105 00:06:14,200 --> 00:06:17,280 Speaker 1: what you just completely invaded my earspace. Oh you want 106 00:06:17,279 --> 00:06:19,520 Speaker 1: to have a cool, nice to meet you person who 107 00:06:19,520 --> 00:06:22,440 Speaker 1: has no boundaries. Well, Mesh and Paul, we're going to 108 00:06:22,520 --> 00:06:23,920 Speaker 1: get to know you guys a little bit better in 109 00:06:23,960 --> 00:06:25,919 Speaker 1: a moment. First, we're gonna tell our listeners a couple 110 00:06:25,960 --> 00:06:28,520 Speaker 1: of the things that we're talking about. We're gonna talk 111 00:06:28,680 --> 00:06:32,839 Speaker 1: entertainment industry, since that is you guys specialty, specifically streaming fatigue, 112 00:06:32,960 --> 00:06:36,000 Speaker 1: Is it real? Where where do we go from here? 113 00:06:36,560 --> 00:06:40,960 Speaker 1: And then we are gonna talk about doctor Strange in 114 00:06:41,000 --> 00:06:44,600 Speaker 1: the Multitude of Madness. Mesh, I think you called it 115 00:06:45,000 --> 00:06:47,920 Speaker 1: a couple of times on your Most ras An episode. 116 00:06:48,040 --> 00:06:50,159 Speaker 1: I actually did it right before we were I was 117 00:06:50,200 --> 00:06:52,120 Speaker 1: talking to Paul earlier and I did it again. So 118 00:06:52,360 --> 00:06:56,040 Speaker 1: I'm now just convinced the name. It's a it's a mouthful, 119 00:06:56,120 --> 00:06:59,560 Speaker 1: that title. Like in another mold, in another multiverse, there 120 00:06:59,640 --> 00:07:03,039 Speaker 1: is a move movie called Multitude of Madness exactly. Yeah, 121 00:07:03,040 --> 00:07:07,360 Speaker 1: it's there. There's many madnesses. I've I've specifically come out 122 00:07:07,360 --> 00:07:11,040 Speaker 1: as anti this movie because the title is scary to me, 123 00:07:11,760 --> 00:07:15,760 Speaker 1: but it does seem popular, uh, and the right is 124 00:07:15,800 --> 00:07:18,960 Speaker 1: trying to claim it. So we'll we'll talk about the 125 00:07:18,960 --> 00:07:22,200 Speaker 1: culture wars around that and trying not to fall asleep 126 00:07:22,200 --> 00:07:25,640 Speaker 1: while doing that. All that plenty Moore, But first, Mesh 127 00:07:25,720 --> 00:07:28,080 Speaker 1: and Paul, we do like to ask our guests, what 128 00:07:28,320 --> 00:07:32,400 Speaker 1: is something from your search history that's revealing about who 129 00:07:32,480 --> 00:07:34,640 Speaker 1: you are. So I'm kind of a nerd. I like 130 00:07:34,760 --> 00:07:37,640 Speaker 1: to research a lot about like space and sort of 131 00:07:37,680 --> 00:07:41,040 Speaker 1: like interplanetary societies, and you know what's going to happen 132 00:07:41,080 --> 00:07:44,040 Speaker 1: if Earth like runs out of water or freshwater, or 133 00:07:44,200 --> 00:07:47,320 Speaker 1: you know, asteroid comes too close or whatever. So I 134 00:07:47,320 --> 00:07:50,000 Speaker 1: searched a lot about that. Um from Philly. I'm a 135 00:07:50,000 --> 00:07:51,960 Speaker 1: big Eagles fan, so I've been searching a lot about 136 00:07:51,960 --> 00:07:54,320 Speaker 1: our draft picks and like what they did in college 137 00:07:54,320 --> 00:07:57,360 Speaker 1: and how they're going to translate to the pros. And 138 00:07:57,720 --> 00:07:59,400 Speaker 1: I got a lot of business travel lined up, so 139 00:07:59,440 --> 00:08:02,520 Speaker 1: I'm always kind of looking for flights and um hotels 140 00:08:02,520 --> 00:08:07,240 Speaker 1: and stuff. So in your interplanetary searches, do you have 141 00:08:07,320 --> 00:08:09,880 Speaker 1: these thoughts and then you're like, Okay, I need to 142 00:08:09,920 --> 00:08:13,400 Speaker 1: see who's thinking about this also, or who's who's seemingly 143 00:08:13,480 --> 00:08:16,320 Speaker 1: coming to an answer about like your question. That's something 144 00:08:16,360 --> 00:08:19,160 Speaker 1: I think of living in California with the drought and 145 00:08:19,280 --> 00:08:22,360 Speaker 1: you know, desertification of the West seeming to be in 146 00:08:22,720 --> 00:08:25,920 Speaker 1: full effect here. What you know, what what kind of 147 00:08:25,960 --> 00:08:27,960 Speaker 1: what kind of things have you learned in your search 148 00:08:28,000 --> 00:08:31,360 Speaker 1: for these answers? Well, you know, so I don't want 149 00:08:31,400 --> 00:08:34,120 Speaker 1: to say I'm like fatalistic about it, but I think 150 00:08:34,120 --> 00:08:36,959 Speaker 1: there's a lot of optimism and hope out there that 151 00:08:37,040 --> 00:08:39,680 Speaker 1: people think. You know, it's just you know, things are 152 00:08:39,720 --> 00:08:43,400 Speaker 1: going to progress sort of like logarithmically. You know, we 153 00:08:43,480 --> 00:08:47,640 Speaker 1: can get some critical massive people to travel really quickly too, 154 00:08:47,960 --> 00:08:50,640 Speaker 1: you know, moons in the in the Solar System and 155 00:08:50,720 --> 00:08:53,760 Speaker 1: sort of set up shop there and then you know 156 00:08:53,840 --> 00:08:58,600 Speaker 1: kind of so perhaps fly business. Yeah, I think oh 157 00:08:58,679 --> 00:09:02,240 Speaker 1: sky is falling. Yeah, you know, there's there's optimism out there, 158 00:09:02,679 --> 00:09:05,480 Speaker 1: and it's so vast, right Like, that's the other thing 159 00:09:06,080 --> 00:09:09,079 Speaker 1: we we don't really can't really comprehend how far things 160 00:09:09,160 --> 00:09:11,839 Speaker 1: are away from us and how long it would take 161 00:09:11,880 --> 00:09:16,559 Speaker 1: to get there. But it doesn't mean it's hopeless. Yeah. Yeah, 162 00:09:16,760 --> 00:09:19,760 Speaker 1: space at like, the Solar System is the size of 163 00:09:20,440 --> 00:09:24,160 Speaker 1: Ohio in most depictions of space, it's like and then 164 00:09:24,240 --> 00:09:27,240 Speaker 1: a little bit out further you've got the asteroid belt, 165 00:09:27,280 --> 00:09:30,200 Speaker 1: and the asteroid belt is looks like a lazy river 166 00:09:30,679 --> 00:09:35,480 Speaker 1: full of you know, asteroids, like whereas reality everything so 167 00:09:35,520 --> 00:09:39,720 Speaker 1: far apart. The asteroids themselves are far very far apart, 168 00:09:40,440 --> 00:09:44,520 Speaker 1: and you from one planet, the other planets look like 169 00:09:44,679 --> 00:09:48,160 Speaker 1: just little specs in the sky. They don't. They don't 170 00:09:48,160 --> 00:09:51,280 Speaker 1: look like I don't know, I feel like I when 171 00:09:51,280 --> 00:09:53,760 Speaker 1: I picture outer space in a movie, it's just like 172 00:09:54,080 --> 00:09:59,400 Speaker 1: a classroom model. You know. Yeah, the maps are off master, 173 00:09:59,559 --> 00:10:02,640 Speaker 1: your map are all all funked up, Hollywood. But to 174 00:10:02,679 --> 00:10:06,040 Speaker 1: your point, there are a lot of oceans, even on 175 00:10:06,080 --> 00:10:09,199 Speaker 1: like moons in our Solar system that have more water 176 00:10:09,240 --> 00:10:12,240 Speaker 1: than Earth, and I think only the three of water 177 00:10:12,320 --> 00:10:15,559 Speaker 1: on Earth is considered fresh water. That so, you know, 178 00:10:16,480 --> 00:10:18,240 Speaker 1: may not be hopeless if if we can find out 179 00:10:18,280 --> 00:10:21,599 Speaker 1: find a way sort of um treat ocean water and 180 00:10:21,640 --> 00:10:24,760 Speaker 1: drink it or something. Has that not been the case. 181 00:10:25,280 --> 00:10:27,400 Speaker 1: I thought that I've been able to do that. I 182 00:10:27,440 --> 00:10:32,880 Speaker 1: thought they were. I think they doake aircraft amounts of energy, 183 00:10:33,120 --> 00:10:39,760 Speaker 1: maybe cruise ships, well, aircraft carriers have nuclear reactors on 184 00:10:39,880 --> 00:10:42,080 Speaker 1: them that power them, and they're able to like do 185 00:10:42,480 --> 00:10:46,120 Speaker 1: tons and like create tons and tons of de salonization. 186 00:10:46,240 --> 00:10:48,320 Speaker 1: But on a daily basis, I think the hard part 187 00:10:48,440 --> 00:10:50,640 Speaker 1: that people say is like if you don't live near 188 00:10:50,679 --> 00:10:54,720 Speaker 1: the coast, then getting the access to that desalonized waters, 189 00:10:54,800 --> 00:10:57,480 Speaker 1: Like the next sort of problem that would have to 190 00:10:57,480 --> 00:10:59,760 Speaker 1: be solved is like sure that can help things along 191 00:10:59,760 --> 00:11:04,559 Speaker 1: the hosts, but like, where's the infrastructure to move massive amounts? 192 00:11:05,440 --> 00:11:08,199 Speaker 1: How about you? Mesh? What what is uh? Something from 193 00:11:08,240 --> 00:11:12,640 Speaker 1: your search history? Helping my sister find dinner for ten 194 00:11:12,679 --> 00:11:15,479 Speaker 1: people in New York City at eight pm on a Wednesday, 195 00:11:15,600 --> 00:11:19,760 Speaker 1: which is impossible, and you need a private dining room 196 00:11:19,760 --> 00:11:21,800 Speaker 1: and I got some. I actually went. I was like 197 00:11:21,880 --> 00:11:24,559 Speaker 1: helping her, and it couldn't find anything that was like, 198 00:11:25,040 --> 00:11:26,240 Speaker 1: you know, you don't want to throw I don't want 199 00:11:26,240 --> 00:11:29,800 Speaker 1: to throw her like a Buco to Beppo in Times Square, right, 200 00:11:29,880 --> 00:11:31,680 Speaker 1: And so I'm trying to find her something. I'm like, look, 201 00:11:31,720 --> 00:11:34,640 Speaker 1: I found this private room, like hopefully it will be legit. 202 00:11:35,160 --> 00:11:36,920 Speaker 1: And then we did the search and then I emailed 203 00:11:36,920 --> 00:11:40,320 Speaker 1: them and they came back. So it's a minimum for 204 00:11:40,400 --> 00:11:44,480 Speaker 1: ten people plus five hundred dollars renting the room, plus 205 00:11:44,520 --> 00:11:47,680 Speaker 1: that doesn't include tax and gratuity. And by the way, 206 00:11:47,720 --> 00:11:50,160 Speaker 1: we can only fit ten people in the private dining room. 207 00:11:50,200 --> 00:11:54,080 Speaker 1: And I'm like, oh my god, that's New York for you. 208 00:11:54,200 --> 00:11:56,199 Speaker 1: So yeah, what do you do when you want to 209 00:11:56,240 --> 00:11:59,240 Speaker 1: have like a big birthday kind of thing and eat 210 00:11:59,280 --> 00:12:00,680 Speaker 1: with a bunch of people in New York? Like, is 211 00:12:00,679 --> 00:12:03,559 Speaker 1: it just like what is the place that you're sort 212 00:12:03,600 --> 00:12:06,080 Speaker 1: of reflectively would think, like you gotta you gotta like 213 00:12:06,120 --> 00:12:08,360 Speaker 1: a bar, you gotta a bar dive, or you gotta 214 00:12:08,360 --> 00:12:14,960 Speaker 1: like it does. Yeah, there's a check e cheese. You're 215 00:12:15,000 --> 00:12:19,200 Speaker 1: basically going for like the C list of anything you wanted, 216 00:12:19,280 --> 00:12:21,319 Speaker 1: so you basically get rid of all your friends are 217 00:12:21,400 --> 00:12:24,040 Speaker 1: like mix them across like part of the week, like 218 00:12:24,200 --> 00:12:28,120 Speaker 1: a ten person dinner. You gotta plan like and especially 219 00:12:28,200 --> 00:12:31,720 Speaker 1: now in New York, reservations are just taking over our lives. 220 00:12:31,720 --> 00:12:34,120 Speaker 1: You can't just walk in anymore. I don't know if 221 00:12:34,240 --> 00:12:37,199 Speaker 1: l A have the same problem. No, I mean it depends, 222 00:12:37,240 --> 00:12:39,480 Speaker 1: but I think New York has such a like people, 223 00:12:39,520 --> 00:12:41,520 Speaker 1: it's a such a destination, and on top of it, 224 00:12:41,559 --> 00:12:44,280 Speaker 1: there's like so many good restaurants popping up all the 225 00:12:44,360 --> 00:12:46,400 Speaker 1: time that like I remember one of the times I 226 00:12:46,440 --> 00:12:48,800 Speaker 1: was visiting in the fall, Someone's like, Oh, you gotta 227 00:12:48,840 --> 00:12:51,400 Speaker 1: try this restaurant, but you gotta log on to like 228 00:12:51,520 --> 00:12:55,599 Speaker 1: the reservation site at midnight. And I'm not joking. I 229 00:12:55,640 --> 00:12:59,480 Speaker 1: felt like a bunch of bots, all the reservations, and 230 00:12:59,520 --> 00:13:01,800 Speaker 1: I was like, how the fund did that happen? Like 231 00:13:01,960 --> 00:13:04,600 Speaker 1: I I'm good at buying ship like when it drops 232 00:13:04,640 --> 00:13:07,160 Speaker 1: like just from being a like you know, reformed hype beast. 233 00:13:07,600 --> 00:13:09,280 Speaker 1: So I was like, oh, it's nothing to get a 234 00:13:09,320 --> 00:13:13,720 Speaker 1: reservation cut to like literally within seconds, everything was vaporizing, like, 235 00:13:13,760 --> 00:13:16,920 Speaker 1: I don't know what. Okay, I guess you're walking at 236 00:13:16,960 --> 00:13:20,120 Speaker 1: five o'clock when it opens on a Monday and you 237 00:13:20,200 --> 00:13:23,040 Speaker 1: pray right right right. I guess I'll go to Sta 238 00:13:23,120 --> 00:13:27,800 Speaker 1: Bagel again. What's What's something you guys think is overrated? 239 00:13:28,720 --> 00:13:32,240 Speaker 1: I think sparkling water is everrated? Okay, I'm a tap 240 00:13:32,559 --> 00:13:36,520 Speaker 1: tap person. Oh I guess I get that some people 241 00:13:37,000 --> 00:13:39,439 Speaker 1: I don't like tap or or can't drink like still water, 242 00:13:39,640 --> 00:13:42,800 Speaker 1: but I don't personally understand it. Do you disagree on 243 00:13:42,840 --> 00:13:45,319 Speaker 1: that then, poll? Okay, I didn't need to cause some 244 00:13:45,440 --> 00:13:48,199 Speaker 1: tension here. Do you like sparkling at all? You're you're 245 00:13:48,240 --> 00:13:49,839 Speaker 1: just you? You said, no, I don't need that. I'm 246 00:13:49,880 --> 00:13:53,960 Speaker 1: I'm fine sparkling. No. I mean, so, I don't mind 247 00:13:54,000 --> 00:13:56,800 Speaker 1: fizz like soda or like a red bull, but I 248 00:13:56,840 --> 00:13:59,480 Speaker 1: just I don't I don't get the sparkling water thing. 249 00:13:59,559 --> 00:14:02,080 Speaker 1: I think so, you know, I think it's a little 250 00:14:02,120 --> 00:14:07,000 Speaker 1: hoity toity, like digging digging away. You're in your Philly. 251 00:14:08,000 --> 00:14:10,480 Speaker 1: That's the thing. Maybe we should have it. I didn't 252 00:14:10,520 --> 00:14:14,600 Speaker 1: realize that. I didn't realize you hate it sparkling water 253 00:14:14,760 --> 00:14:19,800 Speaker 1: so much. We're trying to turn this on the crossfire 254 00:14:19,800 --> 00:14:22,000 Speaker 1: where you guys are just going at each other. All right, 255 00:14:22,800 --> 00:14:27,400 Speaker 1: sparkling water sucks, mash go, you're Abut I have a 256 00:14:27,440 --> 00:14:29,720 Speaker 1: sot of stream in my house, so yeah, I just 257 00:14:29,760 --> 00:14:34,120 Speaker 1: got one. They're great. I don't I I feel you 258 00:14:34,160 --> 00:14:36,920 Speaker 1: on this, Paul. Like when I'm thirsty, I'm not thinking, 259 00:14:37,040 --> 00:14:40,000 Speaker 1: oh I need a sparkling water. I'm like, I need 260 00:14:40,000 --> 00:14:42,920 Speaker 1: water so I can down a bunch of like fluid 261 00:14:43,000 --> 00:14:45,880 Speaker 1: before without my chest bursting because of like the intensity 262 00:14:45,880 --> 00:14:48,560 Speaker 1: at which I drink things. I'm thirsty, you know what. 263 00:14:48,760 --> 00:14:50,040 Speaker 1: You know what I'm talking about, Like when you start 264 00:14:52,200 --> 00:14:56,520 Speaker 1: that and then your chest feels like like like alien 265 00:14:56,640 --> 00:14:59,440 Speaker 1: davy is about to pop out. Yeah, so I don't 266 00:14:59,440 --> 00:15:01,360 Speaker 1: like you for that, but like I like it to 267 00:15:01,560 --> 00:15:04,800 Speaker 1: you know, I'm mixed drinks with sparkling water and things 268 00:15:04,840 --> 00:15:07,200 Speaker 1: like that. He just likes to have, like to sip on, 269 00:15:07,320 --> 00:15:09,800 Speaker 1: but like for pure hydration. There's no fucking way I 270 00:15:09,800 --> 00:15:12,000 Speaker 1: could be like, I need a pellet rino. Yeah, I 271 00:15:12,000 --> 00:15:15,000 Speaker 1: see someone with sparkling water in the gym. That wouldn't 272 00:15:15,040 --> 00:15:20,320 Speaker 1: make sense, right what so well, I'd have something to say, 273 00:15:20,560 --> 00:15:22,400 Speaker 1: or I wouldn't say something, but I would be judgment 274 00:15:22,480 --> 00:15:27,120 Speaker 1: on my mind under my breath after I left. I 275 00:15:27,200 --> 00:15:29,920 Speaker 1: went into an infrared sauna the other day, and you know, 276 00:15:29,960 --> 00:15:32,160 Speaker 1: you get bottles of water and you go into it, 277 00:15:32,320 --> 00:15:35,160 Speaker 1: and they were only stocked with sparkling water. I think 278 00:15:35,200 --> 00:15:38,080 Speaker 1: someone made a mistake. So I'm in the sauna and 279 00:15:38,080 --> 00:15:40,920 Speaker 1: I'm like chugging it and didn't don't realize it's sparkling 280 00:15:40,960 --> 00:15:43,120 Speaker 1: water and they didn't have regular water in that case, 281 00:15:43,440 --> 00:15:46,280 Speaker 1: sparkling water does not work when you're in a hundred 282 00:15:46,280 --> 00:15:48,200 Speaker 1: and seventy five degree you know. And then I'm sure 283 00:15:48,200 --> 00:15:54,600 Speaker 1: the burps are like criminal, you know, an environment stat Yeah, well, 284 00:15:54,640 --> 00:16:00,320 Speaker 1: what's something that you think is underrated? Paul? Okay, I'm so. 285 00:16:00,400 --> 00:16:03,000 Speaker 1: I'm I used to live in l A. I think 286 00:16:03,160 --> 00:16:07,000 Speaker 1: in and out animal style fries are underrated. I think 287 00:16:07,040 --> 00:16:10,000 Speaker 1: they're the best fry, and I've heard a lot of 288 00:16:10,000 --> 00:16:13,200 Speaker 1: hate about in and out fries, and I think if 289 00:16:13,240 --> 00:16:16,720 Speaker 1: you get them well done animal style, you can't go wrong. 290 00:16:17,600 --> 00:16:19,280 Speaker 1: You know. It's so funny. I was in the and 291 00:16:19,280 --> 00:16:22,240 Speaker 1: then you lost me because I'm the most despicable kind 292 00:16:22,280 --> 00:16:26,000 Speaker 1: of in and out fry fan. I like them lightly fried. 293 00:16:26,240 --> 00:16:31,440 Speaker 1: I like she sticks on my animals. It's like a 294 00:16:31,480 --> 00:16:34,000 Speaker 1: loaded baked potato when you do it like that, that's 295 00:16:34,040 --> 00:16:36,800 Speaker 1: in my mind was happening. Yeah, then you definitely need 296 00:16:36,840 --> 00:16:39,720 Speaker 1: the fork. Oh yeah, yeah, you gotta have the fork. 297 00:16:40,320 --> 00:16:42,720 Speaker 1: So it's like more miles. What you order is more 298 00:16:42,840 --> 00:16:47,760 Speaker 1: like Shepherd's pie basically something it's not potatoes stuck to 299 00:16:47,840 --> 00:16:51,240 Speaker 1: the bottom of the chunk of cheese and yeah, melted 300 00:16:51,280 --> 00:16:56,560 Speaker 1: American cheese and whatever they're fried, you know, Thousand Islands basically. Yeah. 301 00:16:56,680 --> 00:16:58,360 Speaker 1: Are you missing it out there in New York or 302 00:16:58,520 --> 00:17:01,360 Speaker 1: you do? I missed a lot. Whenever I'm in l A, 303 00:17:01,440 --> 00:17:03,680 Speaker 1: I go like two days a week because it's I 304 00:17:03,960 --> 00:17:06,640 Speaker 1: really like it that much, and we have. I've been 305 00:17:06,680 --> 00:17:11,239 Speaker 1: there since end of February. So there's nothing like it 306 00:17:11,400 --> 00:17:14,520 Speaker 1: out here. Okay, shake shacks nothing like it. I don't 307 00:17:14,600 --> 00:17:20,160 Speaker 1: understand the shape shack is not. Yeah, the eye roll 308 00:17:20,280 --> 00:17:24,520 Speaker 1: from Paul I just had when this man came through 309 00:17:24,640 --> 00:17:30,679 Speaker 1: with the I'm personally I love shake check. I feel 310 00:17:30,920 --> 00:17:34,080 Speaker 1: I feel in and Out was a little bit overrated, 311 00:17:34,600 --> 00:17:39,679 Speaker 1: specifically because of the up to You know, they're just 312 00:17:39,680 --> 00:17:42,640 Speaker 1: not my favorite kind of fries. But no, I hear 313 00:17:42,720 --> 00:17:46,040 Speaker 1: you on the I hear you on the kind of 314 00:17:46,080 --> 00:17:48,000 Speaker 1: like the mushiness of it. That's why I get them 315 00:17:48,040 --> 00:17:50,640 Speaker 1: well done, and then I think they're They're really good. 316 00:17:51,680 --> 00:17:54,359 Speaker 1: But the burgers are kind of the same though. Miles 317 00:17:54,359 --> 00:17:57,080 Speaker 1: and I ordered together, and he always makes me order 318 00:17:57,160 --> 00:18:00,200 Speaker 1: the medium rare. He says, can I get this as me? 319 00:18:01,160 --> 00:18:06,320 Speaker 1: Get them? Get get them blue now? I say blue. Yeah, 320 00:18:06,440 --> 00:18:10,080 Speaker 1: I want those blue, baby, like I want the natural 321 00:18:10,680 --> 00:18:13,560 Speaker 1: cultures from the earth that the potato grew and still 322 00:18:13,800 --> 00:18:17,760 Speaker 1: still alive. I mean they're really fresh. You watch them 323 00:18:17,800 --> 00:18:21,040 Speaker 1: like slice the potato right right in front of you. Yeah. Well, 324 00:18:21,080 --> 00:18:25,400 Speaker 1: like speaking of New York culture, cuisine culture, like the 325 00:18:26,200 --> 00:18:31,280 Speaker 1: my roommate and I once like drove I think an 326 00:18:31,280 --> 00:18:33,160 Speaker 1: hour and a half to go to like a Chick 327 00:18:33,240 --> 00:18:36,920 Speaker 1: fil A on the Jersey Turnpike because like there was 328 00:18:36,960 --> 00:18:39,600 Speaker 1: no Chick fil A at the time. Like you come 329 00:18:39,640 --> 00:18:45,200 Speaker 1: to like really be into weird things that are available elsewhere, 330 00:18:45,240 --> 00:18:48,680 Speaker 1: like the the Ikea. At the time, there wasn't an 331 00:18:48,680 --> 00:18:51,600 Speaker 1: ike on Manhattan and people would like, there isn't anymore. 332 00:18:51,680 --> 00:18:55,920 Speaker 1: They closed that. Yeah, it's trying to go closer to January. Yeah, 333 00:18:55,920 --> 00:18:57,880 Speaker 1: there's one of Red Hook and I think in Red 334 00:18:57,880 --> 00:19:00,879 Speaker 1: Hook or something like that, like random like a kmart 335 00:19:01,000 --> 00:19:03,640 Speaker 1: hidden in the middle of I think they closed that too. 336 00:19:03,680 --> 00:19:07,359 Speaker 1: I think, yeah, but like that I would go in 337 00:19:07,400 --> 00:19:14,479 Speaker 1: there and then Dayton, Ohio again mess up about you 338 00:19:14,840 --> 00:19:18,680 Speaker 1: with something that's underrated. Underrated, I would say that I'm 339 00:19:18,720 --> 00:19:20,520 Speaker 1: quite disappointed. I don't know if you guys seen it, 340 00:19:20,560 --> 00:19:24,439 Speaker 1: but Station Levin, the show on HBO Max that was 341 00:19:24,480 --> 00:19:27,760 Speaker 1: based off the graphic novel, just didn't really get the 342 00:19:27,760 --> 00:19:29,720 Speaker 1: attention I thought. I thought that was a fantastic show. 343 00:19:29,800 --> 00:19:31,320 Speaker 1: Is one of my favorite of the of the of 344 00:19:31,359 --> 00:19:36,040 Speaker 1: the year. So yeah, I I thought it was very effective, 345 00:19:36,080 --> 00:19:38,159 Speaker 1: to the point that it was unsettling for me at 346 00:19:38,160 --> 00:19:40,920 Speaker 1: the time that like I was like, we're kind of 347 00:19:40,960 --> 00:19:44,720 Speaker 1: like like living a verse of this or yeah, and 348 00:19:44,840 --> 00:19:50,239 Speaker 1: you are doing it so well, like really I think encapsulated, 349 00:19:50,560 --> 00:19:52,960 Speaker 1: like just you know, from that first episode, like that 350 00:19:53,000 --> 00:19:55,639 Speaker 1: transition from like order to chaos and then like what 351 00:19:55,680 --> 00:19:58,280 Speaker 1: do we do next? So in that sense, I think 352 00:19:58,280 --> 00:20:00,840 Speaker 1: it was absolutely great for me. But I think I 353 00:20:00,880 --> 00:20:03,119 Speaker 1: say it was so good, it unsettled me to the 354 00:20:03,119 --> 00:20:04,840 Speaker 1: point that I had to like put a lot of 355 00:20:04,880 --> 00:20:07,359 Speaker 1: space in between episodes. I try to get people to 356 00:20:07,359 --> 00:20:09,240 Speaker 1: watch it, and when I tell them the premise or like, 357 00:20:09,240 --> 00:20:11,120 Speaker 1: why the hell would I watch that? Like that's our 358 00:20:11,160 --> 00:20:13,639 Speaker 1: life right now, but it's not, And that's not really 359 00:20:13,680 --> 00:20:16,159 Speaker 1: our life that we're living right now, but it could be. 360 00:20:16,200 --> 00:20:17,840 Speaker 1: If you don't watch it, you would be prepared for 361 00:20:18,280 --> 00:20:20,119 Speaker 1: life like that. If you watch and then everyone's like 362 00:20:20,200 --> 00:20:22,200 Speaker 1: you gotta get Like he's like once you get, for 363 00:20:22,240 --> 00:20:24,200 Speaker 1: your friends, like when you get deeper, it has more 364 00:20:24,200 --> 00:20:26,000 Speaker 1: of a story rather than you just living in the 365 00:20:26,040 --> 00:20:28,560 Speaker 1: panic of the earth is crumbling around us and be 366 00:20:28,760 --> 00:20:31,879 Speaker 1: to hide in our house forever. Get to episode eight 367 00:20:31,880 --> 00:20:36,159 Speaker 1: of ten and then you're you're right there. Yeah, I 368 00:20:36,160 --> 00:20:38,280 Speaker 1: feel like it came out. It came out a man, 369 00:20:38,320 --> 00:20:40,800 Speaker 1: I gotta start watching it. It's a good one. Yeah, 370 00:20:40,880 --> 00:20:42,880 Speaker 1: it's really good. It came out around the same time 371 00:20:42,880 --> 00:20:46,280 Speaker 1: as Yellow Jackets, which I feel like they split voters 372 00:20:46,400 --> 00:20:48,560 Speaker 1: a little bit. Like it was it was kind of 373 00:20:48,560 --> 00:20:52,520 Speaker 1: a They were both like sort of post apocalyptic wilderness 374 00:20:53,440 --> 00:20:57,200 Speaker 1: type things. It is. I was on Yellow Jackets first, 375 00:20:57,200 --> 00:20:58,600 Speaker 1: and then I was like, fine. It took me a 376 00:20:58,600 --> 00:21:00,879 Speaker 1: while to get around to it because I don't I 377 00:21:00,920 --> 00:21:03,840 Speaker 1: don't have time to just watch the same show twice 378 00:21:03,880 --> 00:21:07,520 Speaker 1: in a row. But Station elevens. It's funny, you say, 379 00:21:07,560 --> 00:21:09,800 Speaker 1: because I never haven't seen Yellow Jackets as much as 380 00:21:09,840 --> 00:21:11,919 Speaker 1: people have been like, watch Yellow Jackets, and I was like, 381 00:21:12,200 --> 00:21:15,840 Speaker 1: I can't do it. You know, I only had the 382 00:21:15,880 --> 00:21:18,480 Speaker 1: mental capacity for one of them. You watched the better 383 00:21:18,520 --> 00:21:22,119 Speaker 1: one already, so like, Yellow Jackets is fun, but you 384 00:21:22,240 --> 00:21:25,400 Speaker 1: like Station leven more than Yellow Jackets. I did, Yeah, 385 00:21:25,440 --> 00:21:27,200 Speaker 1: I mean not that I got through Yellow Jackets, but 386 00:21:27,240 --> 00:21:30,679 Speaker 1: I remember how enthusiastic you were about Yellow Jackets. But 387 00:21:30,720 --> 00:21:32,760 Speaker 1: I know in your back pocket you're like, but Station 388 00:21:32,800 --> 00:21:35,000 Speaker 1: at least have that picture of Station of leven fold 389 00:21:35,000 --> 00:21:38,560 Speaker 1: and look at it like it's still you. It's still you. Yeah, yeah, 390 00:21:38,560 --> 00:21:40,840 Speaker 1: there is more buzz about Yellow Jackets. People weren't talking 391 00:21:40,840 --> 00:21:43,760 Speaker 1: about Station leven like you have seen Station eleven. It'd 392 00:21:43,800 --> 00:21:45,320 Speaker 1: be like me and then they'd all be talking about 393 00:21:45,359 --> 00:21:47,480 Speaker 1: Yellow Jackets. So you're just the wrong, Yeah, because I 394 00:21:47,480 --> 00:21:50,560 Speaker 1: think having like Christina Ricci and like Juliette Louis back 395 00:21:50,600 --> 00:21:54,320 Speaker 1: and stuff people like like like a real like something 396 00:21:54,400 --> 00:21:59,639 Speaker 1: awoke and people like yes, the nineties and odds. That's true. Yeah, 397 00:21:59,800 --> 00:22:02,439 Speaker 1: I still have like quotes from Station eleven like popping 398 00:22:02,520 --> 00:22:06,800 Speaker 1: my head. It added that old Tribe song to my playlists. 399 00:22:07,040 --> 00:22:10,639 Speaker 1: Which yeah, it's just it's just a really really like 400 00:22:10,680 --> 00:22:13,880 Speaker 1: all around great show. I highly recommend it. It was 401 00:22:14,080 --> 00:22:17,240 Speaker 1: a good underrated. Man, all right, let's take a quick break. 402 00:22:17,400 --> 00:22:30,840 Speaker 1: We'll be right back. And we're back, and I mean 403 00:22:30,880 --> 00:22:34,440 Speaker 1: we're just kind of talking about this streaming fatigue enough time. 404 00:22:34,760 --> 00:22:38,800 Speaker 1: Too many shows, too many shows. There are currently three 405 00:22:38,840 --> 00:22:43,359 Speaker 1: shows on that I would have like wished for in 406 00:22:43,400 --> 00:22:46,040 Speaker 1: the past, like I would have like I would be 407 00:22:46,080 --> 00:22:51,360 Speaker 1: you know, objectively, we run this city should be something 408 00:22:51,440 --> 00:22:54,560 Speaker 1: that is like appointment viewing for me, and like I 409 00:22:54,600 --> 00:22:57,720 Speaker 1: should have a text chain going with like all my 410 00:22:57,800 --> 00:23:00,560 Speaker 1: friends who I who you know I watched The Wire 411 00:23:00,640 --> 00:23:05,720 Speaker 1: with and and I haven't watched It's like out. The 412 00:23:05,800 --> 00:23:08,760 Speaker 1: reviews are great. It's by the people who made The Wire. 413 00:23:09,000 --> 00:23:14,760 Speaker 1: It's about Baltimore City police and corruption, updated for the 414 00:23:14,840 --> 00:23:19,800 Speaker 1: realities of our modern world and what we've found out 415 00:23:19,800 --> 00:23:24,240 Speaker 1: about police just in general, and I'm just like, I 416 00:23:24,320 --> 00:23:29,200 Speaker 1: don't know it's right. You know, we've i think increasingly 417 00:23:29,880 --> 00:23:33,399 Speaker 1: since the simplicity of just it being Netflix to then 418 00:23:33,440 --> 00:23:37,440 Speaker 1: every other platform coming online, like with every single one, 419 00:23:37,520 --> 00:23:41,520 Speaker 1: like I feel like my attention is split and fractured, 420 00:23:42,280 --> 00:23:46,280 Speaker 1: and on a certain level it feels like everything's blending together, 421 00:23:46,400 --> 00:23:49,439 Speaker 1: like there's no such thing as TV or film in 422 00:23:49,480 --> 00:23:51,800 Speaker 1: a way. Like I think that's the sensation that's had 423 00:23:51,800 --> 00:23:53,360 Speaker 1: on me. Like I used to be very like as 424 00:23:53,359 --> 00:23:56,080 Speaker 1: a kid, it was like you watched HBO has fucking 425 00:23:56,119 --> 00:23:59,680 Speaker 1: movies and then you watch TV shows here. But now 426 00:23:59,680 --> 00:24:03,320 Speaker 1: with every coming online with streaming, like, I don't know, 427 00:24:03,400 --> 00:24:04,919 Speaker 1: I don't know if that's a good thing or a 428 00:24:04,920 --> 00:24:07,080 Speaker 1: bad thing that I'm sort of viewing everything through this 429 00:24:07,400 --> 00:24:10,600 Speaker 1: singular lens. But but yeah, I think the reason why 430 00:24:10,720 --> 00:24:13,720 Speaker 1: we even bring up the fatigue and stuff is obviously, 431 00:24:13,760 --> 00:24:16,359 Speaker 1: like when Netflix lost a bunch of those subscribers, Everyone's like, 432 00:24:16,359 --> 00:24:19,199 Speaker 1: what the fos is going on? And so many, like 433 00:24:19,240 --> 00:24:22,120 Speaker 1: the streaming world, felt like it was very Some were 434 00:24:22,200 --> 00:24:25,960 Speaker 1: high fiving, others were panicked. Yeah, Wall Street ship themselves 435 00:24:26,119 --> 00:24:29,560 Speaker 1: when they lost subscribers for the first time, and I 436 00:24:29,600 --> 00:24:32,080 Speaker 1: think people there were a lot of think pieces about 437 00:24:32,320 --> 00:24:36,639 Speaker 1: streaming fatigue, but it's definitely something I don't know. It 438 00:24:37,160 --> 00:24:41,600 Speaker 1: seems like when the pandemic hit, there's too little, and 439 00:24:41,640 --> 00:24:46,240 Speaker 1: then they overcompensated, and now there's too much, and I 440 00:24:46,240 --> 00:24:48,880 Speaker 1: don't know, like will we just will there be too 441 00:24:48,880 --> 00:24:50,760 Speaker 1: little again and then we'll all catch up on all 442 00:24:50,800 --> 00:24:54,119 Speaker 1: the stations eleven that we missed and all all the 443 00:24:54,320 --> 00:24:57,280 Speaker 1: great content that we missed her. But you guys, you 444 00:24:57,280 --> 00:25:01,320 Speaker 1: guys talk about the business event entertainment. What what are 445 00:25:01,400 --> 00:25:06,480 Speaker 1: your thoughts on on this kind of overall story. Well, 446 00:25:06,640 --> 00:25:09,840 Speaker 1: I mean, I think from a business perspective, this is 447 00:25:09,880 --> 00:25:13,320 Speaker 1: sort of how things EBB and flow. I mean, you know, 448 00:25:13,600 --> 00:25:16,399 Speaker 1: rewind you know to what you guys were talking about 449 00:25:16,480 --> 00:25:20,159 Speaker 1: ten years ago when it was basically just Netflix and 450 00:25:20,600 --> 00:25:24,080 Speaker 1: you know, people were watching a lot of linear television 451 00:25:24,440 --> 00:25:27,199 Speaker 1: and appointment viewing or whatever, you know, one show a 452 00:25:27,240 --> 00:25:29,199 Speaker 1: week and then you know, tune in at eight o'clock 453 00:25:29,240 --> 00:25:32,879 Speaker 1: and watch you know, next week. And Netflix was just 454 00:25:33,240 --> 00:25:36,439 Speaker 1: crushing everybody because they had a brand new business model. 455 00:25:36,480 --> 00:25:40,960 Speaker 1: There were no ads, you could binge things and that instantly, 456 00:25:41,400 --> 00:25:44,879 Speaker 1: you know, shifts every studio heads, every content executive focus 457 00:25:44,960 --> 00:25:47,200 Speaker 1: too or right now, how do we win at their game? 458 00:25:47,240 --> 00:25:50,480 Speaker 1: How do we compete in that arena? And there's a 459 00:25:50,560 --> 00:25:52,600 Speaker 1: couple of year leg when you sort of build out 460 00:25:52,640 --> 00:25:55,560 Speaker 1: your infrastructure, you get your talent team, you raise the capitol, 461 00:25:55,680 --> 00:25:59,360 Speaker 1: you start developing shows and and getting on intellectual property 462 00:25:59,720 --> 00:26:03,600 Speaker 1: to make a competitive offering. And then it usually overcorrect, 463 00:26:03,760 --> 00:26:06,159 Speaker 1: right because it's not like you just find the ideal 464 00:26:06,200 --> 00:26:08,600 Speaker 1: amount of content. It's like everyone jumps in and tries 465 00:26:08,640 --> 00:26:11,000 Speaker 1: to start competing, and then at a certain point the 466 00:26:11,000 --> 00:26:12,800 Speaker 1: pendulum swings back the other way, and then you have 467 00:26:12,840 --> 00:26:15,320 Speaker 1: content overload and then you know, as we saw with 468 00:26:15,440 --> 00:26:18,359 Speaker 1: CNN Plus, and you know, there's other streaming services that 469 00:26:18,760 --> 00:26:20,640 Speaker 1: are not going to be here, you know, a year 470 00:26:20,680 --> 00:26:23,200 Speaker 1: from now or two years from now, because that the 471 00:26:23,920 --> 00:26:26,760 Speaker 1: money isn't there, Like people can't have ten or fifteen 472 00:26:26,760 --> 00:26:29,959 Speaker 1: streaming services, and so it's gonna go back into some 473 00:26:30,040 --> 00:26:32,280 Speaker 1: form of consolidation at least that's what I think. But 474 00:26:32,359 --> 00:26:35,240 Speaker 1: I think it's this is just the process. Like everyone 475 00:26:35,960 --> 00:26:39,360 Speaker 1: sees the dollars and thinks, I wanna, you know, get 476 00:26:39,400 --> 00:26:42,920 Speaker 1: into this space, and then they commit a certain amount 477 00:26:42,920 --> 00:26:46,840 Speaker 1: of money. They probably overspend and um, they're chasing something 478 00:26:46,840 --> 00:26:49,800 Speaker 1: and hoping that they can get a piece of it. Yeah, 479 00:26:49,800 --> 00:26:51,240 Speaker 1: I mean you can. You can also compare it to 480 00:26:51,359 --> 00:26:55,159 Speaker 1: like not just streaming in the sense of content like 481 00:26:55,240 --> 00:27:00,240 Speaker 1: movies and TV pandemic. We have two years growth and 482 00:27:00,359 --> 00:27:02,920 Speaker 1: just generally a lot of places ran up like five 483 00:27:03,160 --> 00:27:05,199 Speaker 1: x more than it would run up and in a 484 00:27:05,200 --> 00:27:07,040 Speaker 1: two year span it would it was like the equivalent 485 00:27:07,080 --> 00:27:09,639 Speaker 1: of like five six seven years of growth in like 486 00:27:09,680 --> 00:27:12,440 Speaker 1: a twenty four months span. Obviously, like the zooms of 487 00:27:12,520 --> 00:27:14,760 Speaker 1: the world, the pelotons of the world, we've seen all 488 00:27:14,760 --> 00:27:18,480 Speaker 1: of those come come come down. Everything's correcting itself. So 489 00:27:18,560 --> 00:27:20,760 Speaker 1: I think there it's all just coming down to a 490 00:27:20,800 --> 00:27:23,840 Speaker 1: point of Look, this was a weird time. People were 491 00:27:23,880 --> 00:27:27,840 Speaker 1: doing more stuff. We're going back to almost regular life. 492 00:27:27,880 --> 00:27:29,720 Speaker 1: I mean, look at gym memberships. There was a point 493 00:27:29,720 --> 00:27:31,120 Speaker 1: in time when nobody wants to go to the gym. 494 00:27:31,119 --> 00:27:33,920 Speaker 1: We have Peloton. Now gym memberships are back up again. 495 00:27:33,960 --> 00:27:36,760 Speaker 1: People are like leaving their Peloton subscriptions, like I want 496 00:27:36,760 --> 00:27:38,640 Speaker 1: to go to a gym again. And so I think, 497 00:27:38,800 --> 00:27:40,639 Speaker 1: you know, to Paul's point, you're just seeing a general 498 00:27:40,680 --> 00:27:44,320 Speaker 1: correction of these things. And what's like I mean when 499 00:27:44,359 --> 00:27:46,440 Speaker 1: I would always look at just the amount of content 500 00:27:46,520 --> 00:27:49,879 Speaker 1: coming out because on some level, like it's somewhat sustainable 501 00:27:49,920 --> 00:27:52,600 Speaker 1: based on their subscriber growth and things like that, But 502 00:27:53,160 --> 00:27:56,840 Speaker 1: on another level, like I think the fatigue part. Do 503 00:27:56,840 --> 00:28:00,359 Speaker 1: you think that's anything that networks consider right, because on 504 00:28:00,400 --> 00:28:02,840 Speaker 1: some level, you see, like with Netflix, they have so 505 00:28:02,880 --> 00:28:05,480 Speaker 1: many shows, they'll put out a couple are the ones 506 00:28:05,520 --> 00:28:08,239 Speaker 1: that like really move the needle, and then like you 507 00:28:08,280 --> 00:28:11,920 Speaker 1: see like constantly then like a wave of cancelations. I'm 508 00:28:11,920 --> 00:28:14,400 Speaker 1: always looking at that. I'm like, is that good business 509 00:28:14,480 --> 00:28:17,040 Speaker 1: for them? Because we see we've heard about like you know, 510 00:28:17,119 --> 00:28:19,199 Speaker 1: the ups and downs of you know, the way they 511 00:28:19,240 --> 00:28:21,520 Speaker 1: spend money, And I'm always curious, I'm like, what is 512 00:28:21,560 --> 00:28:24,440 Speaker 1: the long term goal here? Because it's very it's from 513 00:28:24,480 --> 00:28:27,320 Speaker 1: I'm looking at purely as a consumer with a little 514 00:28:27,359 --> 00:28:30,399 Speaker 1: bit of like industry no how, but I'm I'm always 515 00:28:30,440 --> 00:28:32,880 Speaker 1: like thinking, like how do you keep doing this like 516 00:28:32,920 --> 00:28:34,960 Speaker 1: spending tons of money then being like, okay, we have 517 00:28:35,040 --> 00:28:36,679 Speaker 1: that was a bad investment, but then this thing we 518 00:28:36,720 --> 00:28:39,400 Speaker 1: spent a little bit of money ended up taking off. Yeah, 519 00:28:39,440 --> 00:28:42,120 Speaker 1: Like how lucrative is it when a show like Squid 520 00:28:42,160 --> 00:28:45,800 Speaker 1: Game or the first season Stranger Things are like should 521 00:28:45,800 --> 00:28:48,600 Speaker 1: like that like just takes over the zeitgeist? Like is 522 00:28:48,640 --> 00:28:51,479 Speaker 1: that and like does that pay itself back? I'm like 523 00:28:51,520 --> 00:28:55,360 Speaker 1: they're like, all right, that covers all those other shows 524 00:28:55,400 --> 00:28:58,400 Speaker 1: that we made that nobody watched. It's it's a great question. 525 00:28:58,480 --> 00:29:00,600 Speaker 1: I mean, I think the question. I think it comes 526 00:29:00,600 --> 00:29:04,200 Speaker 1: down to stickiness, right, because if you were subscribing to 527 00:29:04,320 --> 00:29:07,200 Speaker 1: a service just for a show and then you cancel 528 00:29:07,240 --> 00:29:09,120 Speaker 1: when it's over and you wait till the next season 529 00:29:09,160 --> 00:29:12,320 Speaker 1: comes out to rejoin, then I don't know that it's 530 00:29:12,480 --> 00:29:15,440 Speaker 1: as lucrative. If you're someone that's sort of like, you know, 531 00:29:15,800 --> 00:29:17,800 Speaker 1: I just want to turn on Netflix. They've had a 532 00:29:17,840 --> 00:29:19,440 Speaker 1: show that I really liked a couple of years ago. 533 00:29:19,480 --> 00:29:21,400 Speaker 1: I'm not going to cancel it and I'll just turn on, 534 00:29:21,520 --> 00:29:23,840 Speaker 1: turn it on and browse when I want to watch something. 535 00:29:24,200 --> 00:29:26,280 Speaker 1: Then that's great. Like if if you if a show 536 00:29:26,360 --> 00:29:30,080 Speaker 1: brings a lasting customer, then then it's awesome, especially if 537 00:29:30,120 --> 00:29:33,040 Speaker 1: it brings a ton of them. But I think one 538 00:29:33,080 --> 00:29:35,920 Speaker 1: of the things that you see in the in film 539 00:29:35,960 --> 00:29:40,520 Speaker 1: now is the proliferation of franchises, right, And so it's 540 00:29:40,560 --> 00:29:44,320 Speaker 1: like Fast and the Furious ten and thoor four and 541 00:29:44,360 --> 00:29:48,440 Speaker 1: thour or five, and and that's because you're basically like 542 00:29:48,480 --> 00:29:50,960 Speaker 1: you're starting You're not starting over from scratch, like you've 543 00:29:50,960 --> 00:29:54,200 Speaker 1: invested all this time building a fan base, telling about 544 00:29:54,240 --> 00:29:56,960 Speaker 1: you know, creating characters, making them familiar. You have merch 545 00:29:57,040 --> 00:29:59,960 Speaker 1: out there, and and so you just you don't want 546 00:30:00,120 --> 00:30:03,440 Speaker 1: lose that investment, so you keep going with the franchise. 547 00:30:04,040 --> 00:30:06,640 Speaker 1: And I don't think, at least to this point, like 548 00:30:06,920 --> 00:30:09,960 Speaker 1: Netflix is quick to cut debait on things and sort 549 00:30:10,000 --> 00:30:12,280 Speaker 1: of going in a a different direction. I guess they have 550 00:30:12,560 --> 00:30:15,400 Speaker 1: a lot of analytics that say, justify it from their perspective, 551 00:30:15,480 --> 00:30:18,880 Speaker 1: but I think you're right, like they haven't. And yes 552 00:30:18,920 --> 00:30:21,320 Speaker 1: they're stranger things and and maybe who knows what the 553 00:30:21,360 --> 00:30:23,000 Speaker 1: second season of squid Game is going to be like, 554 00:30:23,040 --> 00:30:27,360 Speaker 1: but there they are sort of like they put everything 555 00:30:27,400 --> 00:30:30,640 Speaker 1: behind their brands. It's all about Netflix, right, that was 556 00:30:30,880 --> 00:30:33,320 Speaker 1: the primary thing they were selling. And the shows we're 557 00:30:33,360 --> 00:30:37,600 Speaker 1: supposed to be kind of fungible, and it's in a 558 00:30:37,680 --> 00:30:41,120 Speaker 1: more competitive competitive environment. I don't know if that strategy 559 00:30:41,200 --> 00:30:45,360 Speaker 1: is gonna, you know, proved to be ultimately successful. And 560 00:30:45,520 --> 00:30:48,080 Speaker 1: fungible a word that I know the meaning of. But 561 00:30:48,160 --> 00:30:51,200 Speaker 1: maybe our listeners don't, So why don't you explain what 562 00:30:51,240 --> 00:30:54,560 Speaker 1: that is? So it's it's more it's it's fungible, meaning 563 00:30:54,640 --> 00:31:00,560 Speaker 1: like interchangeable, right, So totally that's what I'm total it. Yeah, 564 00:31:02,520 --> 00:31:05,560 Speaker 1: So I also wonder if this is a compounding problem, 565 00:31:05,680 --> 00:31:09,320 Speaker 1: right because now even if even if they bring it 566 00:31:09,360 --> 00:31:14,440 Speaker 1: back to like, okay, we're making a manageable amount of content, 567 00:31:15,120 --> 00:31:20,000 Speaker 1: like it feels like there's still like more places to 568 00:31:20,640 --> 00:31:25,760 Speaker 1: like see the content. There's like squid Game was not 569 00:31:25,880 --> 00:31:29,040 Speaker 1: the result of them having like a great farm system, 570 00:31:29,120 --> 00:31:32,280 Speaker 1: where like they're the Netflix writers hit this one out 571 00:31:32,320 --> 00:31:35,640 Speaker 1: of the park. They like found this show, like you know, 572 00:31:36,240 --> 00:31:39,479 Speaker 1: didn't pay that much for it. The creatives involved seemed 573 00:31:39,560 --> 00:31:43,360 Speaker 1: like kind of pissy like once once the media started 574 00:31:43,360 --> 00:31:45,480 Speaker 1: paying attention, they were like they didn't paying ship like 575 00:31:45,520 --> 00:31:49,880 Speaker 1: it was it was fine and it right that the case. 576 00:31:50,000 --> 00:31:52,440 Speaker 1: It took a long time. So I don't know, and 577 00:31:52,480 --> 00:31:57,200 Speaker 1: now now they're the other like kind of concerned I 578 00:31:57,200 --> 00:31:59,360 Speaker 1: would have with Netflix is that they do seem to 579 00:31:59,400 --> 00:32:02,680 Speaker 1: be like saying we are. But I think this is 580 00:32:02,720 --> 00:32:06,440 Speaker 1: a direct quote. Actually Red Hastings was like trying to 581 00:32:06,480 --> 00:32:09,520 Speaker 1: reassure everyone that Netflix had been through tough times before, 582 00:32:09,680 --> 00:32:11,640 Speaker 1: and that it would solve its problems. He said the 583 00:32:11,680 --> 00:32:15,120 Speaker 1: company was now super focused on getting back into our 584 00:32:15,160 --> 00:32:19,200 Speaker 1: investors good graces, and I feel like that's maybe not 585 00:32:19,400 --> 00:32:22,240 Speaker 1: the I don't like the This was around the time 586 00:32:22,240 --> 00:32:25,560 Speaker 1: that they started talking about and introducing an advertising model 587 00:32:25,880 --> 00:32:31,840 Speaker 1: and like cutting password sharing, and I don't I don't 588 00:32:31,880 --> 00:32:34,520 Speaker 1: know if that's gonna that's gonna do. It's like I 589 00:32:34,520 --> 00:32:37,320 Speaker 1: think just the unfortunate thing about public markets though, is 590 00:32:37,320 --> 00:32:39,960 Speaker 1: that they probably have a ten year plan of the 591 00:32:40,000 --> 00:32:42,560 Speaker 1: type of content they're gonna be making. You know, shows 592 00:32:42,600 --> 00:32:45,520 Speaker 1: that can be made really quickly, like selling Sunset that 593 00:32:45,800 --> 00:32:48,560 Speaker 1: a lot of people watch, two and Ozarks that takes 594 00:32:48,680 --> 00:32:52,160 Speaker 1: a long time to make, and that just concluded. At 595 00:32:52,200 --> 00:32:54,240 Speaker 1: the same time, they have to please investors on a 596 00:32:54,320 --> 00:32:57,400 Speaker 1: quarterly basis, and investors are not happy, especially in the 597 00:32:57,440 --> 00:32:59,680 Speaker 1: market like this. I think he just has to say 598 00:32:59,680 --> 00:33:02,440 Speaker 1: things that where it looked like, obviously, at the end 599 00:33:02,440 --> 00:33:04,680 Speaker 1: of the day, we're just going to continuously make great content. 600 00:33:04,760 --> 00:33:07,840 Speaker 1: It's very competitive right now. Um as the market corrects, 601 00:33:07,840 --> 00:33:10,960 Speaker 1: we'll see what happens, but it is generally like pretty competitive. 602 00:33:10,960 --> 00:33:13,400 Speaker 1: But I would say that Netflix then comes back in 603 00:33:13,520 --> 00:33:16,120 Speaker 1: and you got boom boom boom, show after show after show, 604 00:33:16,600 --> 00:33:18,520 Speaker 1: and I think just like without all the networks that 605 00:33:18,600 --> 00:33:21,520 Speaker 1: you find a little bit of the fatigue is really more, 606 00:33:22,000 --> 00:33:24,440 Speaker 1: it seems like on their side where it's like there's 607 00:33:24,480 --> 00:33:26,959 Speaker 1: a bit where Okay, my favorite show is not running, 608 00:33:26,960 --> 00:33:30,360 Speaker 1: like HBO, Max doesn't have Euphoria just finished, and you 609 00:33:30,360 --> 00:33:31,959 Speaker 1: know some of the other shows just finished, and now 610 00:33:31,960 --> 00:33:34,360 Speaker 1: we're kind of waiting for you know, what's the next 611 00:33:34,440 --> 00:33:36,760 Speaker 1: big show to pop up on there, and in the meantime, 612 00:33:37,040 --> 00:33:39,440 Speaker 1: you watch something on another network and another network and 613 00:33:39,440 --> 00:33:43,960 Speaker 1: another network. I also feel like their main strength is 614 00:33:44,000 --> 00:33:46,840 Speaker 1: supposed to be all the data they have on us 615 00:33:46,960 --> 00:33:49,040 Speaker 1: and like their ability to like dig into that figure 616 00:33:49,080 --> 00:33:54,120 Speaker 1: out like what people want, and then you know, create create, 617 00:33:54,320 --> 00:33:59,000 Speaker 1: like Phil flood the Zone with that and like now 618 00:33:59,040 --> 00:34:03,280 Speaker 1: there's a meme about doom scrolling Netflix and just you know, 619 00:34:03,320 --> 00:34:05,200 Speaker 1: I'm not being able to find the thing that you 620 00:34:05,240 --> 00:34:07,960 Speaker 1: want or anything that's interesting to you. And I saw 621 00:34:08,000 --> 00:34:12,080 Speaker 1: a specific like complaint from somebody who's like, I'm a 622 00:34:12,120 --> 00:34:16,160 Speaker 1: horror fan and the things that they recommend to me 623 00:34:16,239 --> 00:34:20,080 Speaker 1: are always the conjuring and like, you know, the most 624 00:34:20,120 --> 00:34:23,160 Speaker 1: popular horror movies and like that I know that that 625 00:34:23,239 --> 00:34:26,080 Speaker 1: like wasn't initially what they were supposed to have, like 626 00:34:26,200 --> 00:34:28,560 Speaker 1: such a there was supposed to be able to like 627 00:34:28,640 --> 00:34:32,279 Speaker 1: flex their algorithm, and like you know, he was like 628 00:34:32,640 --> 00:34:36,160 Speaker 1: Netflix has deep cut horror movies like the old ways, 629 00:34:36,640 --> 00:34:40,080 Speaker 1: but those don't ever get recommended to me. I'm just 630 00:34:40,160 --> 00:34:46,200 Speaker 1: wondering if they could use some human curation, like a 631 00:34:46,880 --> 00:34:50,240 Speaker 1: maybe we've hit the like fail point of the Turing 632 00:34:50,320 --> 00:34:56,120 Speaker 1: test of Netflix is like algorithmic algorithmically generated like content 633 00:34:56,200 --> 00:35:00,400 Speaker 1: suggestion model, And like they why wouldn't you, I know, 634 00:35:00,440 --> 00:35:04,239 Speaker 1: they just like fired all of their editors who they were, 635 00:35:04,680 --> 00:35:06,640 Speaker 1: who they had hired, But like, why wouldn't you try 636 00:35:06,680 --> 00:35:09,280 Speaker 1: to build up you know the way that like Peloton 637 00:35:09,360 --> 00:35:13,120 Speaker 1: instructors had like a following and like people, you know, 638 00:35:13,200 --> 00:35:15,080 Speaker 1: there were memes about them and they were like, oh 639 00:35:15,080 --> 00:35:17,000 Speaker 1: this is the one that I love. Then you know 640 00:35:17,280 --> 00:35:22,120 Speaker 1: you should have like these people curating channels on Netflix 641 00:35:22,440 --> 00:35:26,680 Speaker 1: and you know, like like give give some humanity to 642 00:35:26,760 --> 00:35:31,440 Speaker 1: it rather than just a wall of fucking content. Good idea, right, 643 00:35:31,480 --> 00:35:34,279 Speaker 1: and they should hired me to do it. I like 644 00:35:34,400 --> 00:35:37,080 Speaker 1: the mix. I like the mix of algorithm and curated 645 00:35:37,280 --> 00:35:40,120 Speaker 1: I would I like your idea I think it's a 646 00:35:40,120 --> 00:35:42,959 Speaker 1: great idea. I think maybe should have um not given 647 00:35:43,000 --> 00:35:46,120 Speaker 1: it to them for free. Yeah, you know that's what 648 00:35:46,200 --> 00:35:49,960 Speaker 1: we do. We just give up brilliant stuff. We came 649 00:35:50,040 --> 00:35:53,239 Speaker 1: up with an old distressed malls that we take over 650 00:35:53,280 --> 00:35:57,279 Speaker 1: and we make them like nineties retro experiences. We've got 651 00:35:57,280 --> 00:35:59,400 Speaker 1: a lot of business ideas, Paul, like, you know we 652 00:35:59,440 --> 00:36:01,000 Speaker 1: give out for but yeah, that was one of the 653 00:36:01,000 --> 00:36:03,880 Speaker 1: better ones. The curated thing, and the curated thing I 654 00:36:03,920 --> 00:36:07,000 Speaker 1: think works. It's like I'm I'm always looking for like 655 00:36:07,040 --> 00:36:09,319 Speaker 1: there's a handful of people that like, oh you're like, hey, 656 00:36:09,400 --> 00:36:12,279 Speaker 1: someone recommended me, you know a show I trust their 657 00:36:12,680 --> 00:36:15,279 Speaker 1: judgment and shows I want to watch that. Ship. I 658 00:36:15,320 --> 00:36:18,000 Speaker 1: generally don't find the algorithm does anything for me, although 659 00:36:18,000 --> 00:36:20,040 Speaker 1: for my sister and my mom who are like obsessed 660 00:36:20,080 --> 00:36:23,840 Speaker 1: with k dramas for like now and my whole Netflix 661 00:36:23,880 --> 00:36:26,239 Speaker 1: now is just like they used my profile and so 662 00:36:26,280 --> 00:36:29,360 Speaker 1: it only recommends me. We're gonna give you an opportunity 663 00:36:29,400 --> 00:36:31,080 Speaker 1: to take that again. We don't want Netflix to hear 664 00:36:31,120 --> 00:36:33,040 Speaker 1: about that that you guys are sharing a past where 665 00:36:33,080 --> 00:36:34,719 Speaker 1: they're gonna come from you. I don't know. We have 666 00:36:34,719 --> 00:36:39,080 Speaker 1: a family and ship down the outside of his family account, 667 00:36:39,239 --> 00:36:42,520 Speaker 1: multiple profiles, they just choose to use my profile each 668 00:36:44,120 --> 00:36:48,000 Speaker 1: that that is very frustrating. And now it's just it like, 669 00:36:48,480 --> 00:36:50,680 Speaker 1: you know, Kate, look nothing against K dramas. I've just 670 00:36:50,800 --> 00:36:52,880 Speaker 1: you know, I've never watched one. I've watched it in 671 00:36:52,960 --> 00:36:56,520 Speaker 1: passing with them, but now I need Curate. Now I 672 00:36:56,560 --> 00:36:59,279 Speaker 1: have no choice. K dramas are Korean dramas, like the 673 00:36:59,360 --> 00:37:02,879 Speaker 1: Korean soap Yeah, my wife that that is my wife, 674 00:37:03,120 --> 00:37:06,320 Speaker 1: like my wife's big guilty pleasure on her. They're popular, 675 00:37:06,520 --> 00:37:10,759 Speaker 1: They're very popular, Yeah, they are. We don't have the 676 00:37:10,800 --> 00:37:14,040 Speaker 1: thing that is like just right in between, you know, 677 00:37:14,160 --> 00:37:18,520 Speaker 1: like primetime you know dramas actually like almost HBO dramas, 678 00:37:18,560 --> 00:37:22,600 Speaker 1: and then like fucking soap operas, like just the lowest 679 00:37:22,640 --> 00:37:25,440 Speaker 1: of the low soap operas, and they are just churning 680 00:37:25,480 --> 00:37:28,400 Speaker 1: that ship out right at that level. It's like fifty 681 00:37:28,880 --> 00:37:33,480 Speaker 1: of each and they're they're crushing it. Well, I think 682 00:37:33,480 --> 00:37:36,080 Speaker 1: what also not on the Apple TV, but I've seen 683 00:37:36,120 --> 00:37:39,080 Speaker 1: on like the Samsung TVs they put like the top 684 00:37:39,160 --> 00:37:42,960 Speaker 1: ten and AND's some different regions or whatever. I actually 685 00:37:43,040 --> 00:37:45,600 Speaker 1: find that to be the most useful, like you know, 686 00:37:45,640 --> 00:37:47,640 Speaker 1: not their recommendations like, just tell me what the top 687 00:37:47,680 --> 00:37:50,839 Speaker 1: ten is. I'll probably watch something within that. What are 688 00:37:50,840 --> 00:37:53,479 Speaker 1: the most popular shows that everybody else is watching, which 689 00:37:53,520 --> 00:37:56,279 Speaker 1: is kind of curated to some degree, Like okay, like 690 00:37:56,320 --> 00:37:58,000 Speaker 1: I'll go I'll watch that, you know, I'll take a 691 00:37:58,040 --> 00:37:59,880 Speaker 1: look at it. I don't know why that is, Poppa. 692 00:38:00,440 --> 00:38:03,280 Speaker 1: I mean they know about the idea of like the curation. 693 00:38:03,480 --> 00:38:07,000 Speaker 1: Xbox game passes apparently very good at this. Like gamers 694 00:38:07,280 --> 00:38:09,960 Speaker 1: say that they have like a curated selection of games, 695 00:38:10,440 --> 00:38:15,400 Speaker 1: and they're like pulling hidden gems out that people really value, 696 00:38:15,520 --> 00:38:17,319 Speaker 1: Like people are like, oh ship, Like you guys are 697 00:38:17,320 --> 00:38:20,080 Speaker 1: really nailing this. So it makes it easy to interact 698 00:38:20,160 --> 00:38:22,360 Speaker 1: with new stuff when it's put in front of you 699 00:38:22,400 --> 00:38:26,120 Speaker 1: in like limited quantities, not like your seven hundred free games. 700 00:38:26,120 --> 00:38:28,719 Speaker 1: This one. It's like here the fucking five we think 701 00:38:28,719 --> 00:38:32,480 Speaker 1: are good. And I think like even to what you're saying, Imatine, 702 00:38:32,600 --> 00:38:34,799 Speaker 1: like even Jack, like we we all kind of say 703 00:38:34,840 --> 00:38:36,960 Speaker 1: the same thing, and I'm probably saying for you, Paul's 704 00:38:37,000 --> 00:38:38,839 Speaker 1: like you kind of need like these three or four 705 00:38:38,960 --> 00:38:41,160 Speaker 1: friends to tell you to watch something, and then that 706 00:38:41,560 --> 00:38:43,719 Speaker 1: you hit the tipping point, you're like, Okay, now I'll 707 00:38:43,719 --> 00:38:47,080 Speaker 1: do it because We're already an environment where it's like 708 00:38:47,239 --> 00:38:50,680 Speaker 1: there's already a few shows I don't need prompting or 709 00:38:51,280 --> 00:38:54,560 Speaker 1: encouragement to go see, Like seldom is like oh when 710 00:38:54,560 --> 00:38:56,200 Speaker 1: that's out, I'm watching it, And if it is, it's 711 00:38:56,239 --> 00:38:59,640 Speaker 1: usually trash reality TV. But other than that, like good 712 00:38:59,680 --> 00:39:03,080 Speaker 1: stuff I need like Anna, I need Jack, I need 713 00:39:03,160 --> 00:39:06,120 Speaker 1: my other couple other friends of people to suggest something, 714 00:39:06,120 --> 00:39:09,560 Speaker 1: and then I'm like, oh, okay, that's the We've reached 715 00:39:09,600 --> 00:39:12,839 Speaker 1: the suggestion typic. I think, you know, I think Euphoria 716 00:39:12,960 --> 00:39:16,560 Speaker 1: was a good example of this where I know Euphoria 717 00:39:16,640 --> 00:39:19,040 Speaker 1: most people started that I you started watching and started 718 00:39:19,040 --> 00:39:21,880 Speaker 1: watching it in season two and started telling people about it, 719 00:39:22,080 --> 00:39:24,560 Speaker 1: and I started paying attention to it on TikTok because 720 00:39:24,560 --> 00:39:26,440 Speaker 1: it was like all these scenes that would pop up 721 00:39:26,440 --> 00:39:28,279 Speaker 1: on TikTok. I had no idea what the show was. 722 00:39:28,600 --> 00:39:30,680 Speaker 1: It just looked kind of like, you know, dark and 723 00:39:31,040 --> 00:39:33,480 Speaker 1: fucked up, and then you would hear the soundtrack with 724 00:39:33,560 --> 00:39:36,880 Speaker 1: like Labyrinth constantly, and then over this period of time, 725 00:39:36,960 --> 00:39:39,360 Speaker 1: like season two comes out, boom, everyone I know is 726 00:39:39,400 --> 00:39:41,520 Speaker 1: watching it. It's just like it's like the word of 727 00:39:41,600 --> 00:39:45,200 Speaker 1: mouth phenomenon, especially with social um and I think Euporia 728 00:39:45,320 --> 00:39:47,160 Speaker 1: was like, now what, it's like one of the biggest 729 00:39:47,160 --> 00:39:49,759 Speaker 1: shows um in the US or I don't know about 730 00:39:49,800 --> 00:39:51,399 Speaker 1: the world, but it's definitely one of the biggest shows 731 00:39:51,400 --> 00:39:55,040 Speaker 1: in the US. There was another, uh strategically questionable decision 732 00:39:55,040 --> 00:39:57,480 Speaker 1: Netflix made where they like turned off the ability of 733 00:39:57,560 --> 00:40:00,560 Speaker 1: screen capit and it was like they like, all right, 734 00:40:00,600 --> 00:40:02,839 Speaker 1: you know what our issue is. I know people are 735 00:40:02,840 --> 00:40:05,520 Speaker 1: concerned about the subscriber numbers, but I think our problem 736 00:40:05,520 --> 00:40:09,080 Speaker 1: is that we're too cool, and we're like we need 737 00:40:09,080 --> 00:40:12,279 Speaker 1: to be just like way less cool and let let 738 00:40:12,400 --> 00:40:16,760 Speaker 1: fewer people share pass where it's fewer memes about our content. 739 00:40:16,880 --> 00:40:19,120 Speaker 1: So if you trend screen capital or just be a 740 00:40:19,160 --> 00:40:23,839 Speaker 1: black screen and yeah, just drilled down on those things. 741 00:40:25,719 --> 00:40:28,920 Speaker 1: Posts and well everybody loves ads though, that's the thing 742 00:40:29,000 --> 00:40:34,239 Speaker 1: you have to understand. I'd pay more for ads the 743 00:40:34,600 --> 00:40:38,839 Speaker 1: but with like as we as we are like hitting 744 00:40:38,920 --> 00:40:42,920 Speaker 1: this like peak content world, I just feel like there's 745 00:40:43,520 --> 00:40:47,800 Speaker 1: I I am so reliant on recommendations, like Miles was saying, 746 00:40:48,320 --> 00:40:52,200 Speaker 1: and there's we're split between so many different things. I 747 00:40:52,200 --> 00:40:54,160 Speaker 1: feel like it's going to be harder and harder to 748 00:40:54,400 --> 00:40:57,879 Speaker 1: generate those Like I guess Severance was the last one 749 00:40:57,960 --> 00:41:01,680 Speaker 1: that like really seemed to I think my thresholds like 750 00:41:01,760 --> 00:41:05,960 Speaker 1: five six people recommending it. I think people want I 751 00:41:05,960 --> 00:41:09,160 Speaker 1: think there's need for more. I think there's a supply 752 00:41:09,239 --> 00:41:11,919 Speaker 1: issue here. Like I think we just want more good ship. 753 00:41:12,440 --> 00:41:14,359 Speaker 1: It takes us a while to get into it. Once 754 00:41:14,400 --> 00:41:17,200 Speaker 1: we're into it. It's like I keep hearing about slow Horses. 755 00:41:17,520 --> 00:41:19,960 Speaker 1: One more person tells me about slow Horses, I'm gonna 756 00:41:20,000 --> 00:41:23,160 Speaker 1: watch it, you know. One more person tells me about Severance. 757 00:41:23,239 --> 00:41:24,799 Speaker 1: I will watch it. Those are two shows I haven't 758 00:41:24,840 --> 00:41:27,360 Speaker 1: seen yet, but now more and more people recommend it. 759 00:41:27,440 --> 00:41:30,759 Speaker 1: Slow Horses the very first thing committed to film where 760 00:41:30,760 --> 00:41:37,320 Speaker 1: the guys riding a horse and whether whether his feet 761 00:41:38,000 --> 00:41:41,080 Speaker 1: leave the ground. Even when you said that, I'm like, slow, 762 00:41:41,719 --> 00:41:44,200 Speaker 1: Like maybe I guess maybe I get the name rock. 763 00:41:46,920 --> 00:41:54,239 Speaker 1: It's the some detective show, spy fiction. Slow Horses. Uh yeah, 764 00:41:54,360 --> 00:41:56,799 Speaker 1: I mean this is a real show. But again, I'm like, 765 00:41:57,520 --> 00:42:00,200 Speaker 1: I'm so overwhelmed by the amount of thing that's so 766 00:42:00,280 --> 00:42:03,239 Speaker 1: I'm like, I guess, like what you're saying is there's 767 00:42:03,640 --> 00:42:07,080 Speaker 1: if there isn't a demand issue, there's a supply issue. 768 00:42:07,440 --> 00:42:10,080 Speaker 1: I'm like, I don't know. Maybe because I don't have 769 00:42:10,160 --> 00:42:14,960 Speaker 1: the same like blocks of space to like consistently consume 770 00:42:15,200 --> 00:42:17,880 Speaker 1: many shows. Um or I don't know. I think I 771 00:42:17,920 --> 00:42:19,600 Speaker 1: want to say it's many. I think it's like that 772 00:42:19,719 --> 00:42:22,200 Speaker 1: one show. It's not like multiple shows. It's like, what 773 00:42:22,320 --> 00:42:25,080 Speaker 1: is the show you want to spend your time on? Now? Okay, 774 00:42:25,080 --> 00:42:26,719 Speaker 1: it hasn't hit me yet. I'm just gonna wait for 775 00:42:26,719 --> 00:42:29,279 Speaker 1: the next one. So I saw a headline about slow 776 00:42:29,320 --> 00:42:32,560 Speaker 1: horses and then I just heard you mention it. Now 777 00:42:32,560 --> 00:42:35,600 Speaker 1: it's just gonna take nine more people to mention. But 778 00:42:35,800 --> 00:42:37,560 Speaker 1: I am at the point. And this is how I 779 00:42:37,600 --> 00:42:40,480 Speaker 1: know content fatigua is real. For me that when you 780 00:42:40,560 --> 00:42:42,320 Speaker 1: just said that, I got a little bit mad at you. 781 00:42:43,280 --> 00:42:46,680 Speaker 1: Come the fuck on slow horses? It was like, the 782 00:42:46,680 --> 00:42:51,640 Speaker 1: fuck got a great cast. It's got a great cast. Yeah, like, yeah, 783 00:42:51,920 --> 00:42:54,359 Speaker 1: of course we should do group doing together and make 784 00:42:54,400 --> 00:42:57,840 Speaker 1: a judgment. I don't know what you guys think that. 785 00:42:57,960 --> 00:43:01,920 Speaker 1: There's also, like, you know, people can do social events 786 00:43:01,920 --> 00:43:04,080 Speaker 1: again where they couldn't really do that for a year 787 00:43:04,160 --> 00:43:06,360 Speaker 1: a year and a half. Like there's concerts and you 788 00:43:06,400 --> 00:43:08,399 Speaker 1: can go to live sporting events, and I've been doing 789 00:43:08,440 --> 00:43:10,320 Speaker 1: a lot more of that the past couple of months. 790 00:43:10,320 --> 00:43:15,440 Speaker 1: So that also adds to it, like March, April, June. Whatever. 791 00:43:17,400 --> 00:43:20,080 Speaker 1: All you can do is stream, right, and now you 792 00:43:20,120 --> 00:43:22,879 Speaker 1: can do more stuff. The movies that are coming out 793 00:43:22,960 --> 00:43:26,040 Speaker 1: are great, like the Top Gun movies coming out. I 794 00:43:26,040 --> 00:43:27,959 Speaker 1: don't know for some reason, the top of the fact 795 00:43:27,960 --> 00:43:30,400 Speaker 1: of the Top Gun movies finally coming out. I'm like, WHOA, 796 00:43:31,160 --> 00:43:36,280 Speaker 1: movies are back, baby, and it's advertised I'll over the NBA. 797 00:43:36,360 --> 00:43:38,920 Speaker 1: So that might be is that trailer must like that 798 00:43:38,960 --> 00:43:42,080 Speaker 1: trailer was like originally pre COVID. I think that came 799 00:43:42,120 --> 00:43:45,279 Speaker 1: out right. All right, let's take a quick break. We'll 800 00:43:45,320 --> 00:44:00,640 Speaker 1: come back and talk about the Multiverse of Madness and 801 00:44:00,840 --> 00:44:04,560 Speaker 1: we're back. Did you guys see Doctor Strange too? That? 802 00:44:04,760 --> 00:44:09,120 Speaker 1: Do we have the number? Right? It is to Yeah, 803 00:44:09,440 --> 00:44:11,440 Speaker 1: I went and saw it, Paul, Did you see it yet? 804 00:44:11,880 --> 00:44:15,239 Speaker 1: I have not seen it yet. Definitely see it. You 805 00:44:15,360 --> 00:44:18,800 Speaker 1: used to you. I know you're a lawyer at Marvel. 806 00:44:18,920 --> 00:44:20,920 Speaker 1: What what was sort of what what kind of things 807 00:44:20,960 --> 00:44:23,719 Speaker 1: are you doing over there? I was doing a lot 808 00:44:23,760 --> 00:44:28,560 Speaker 1: of different things. I was doing business affairs, so actor, writer, 809 00:44:28,680 --> 00:44:32,279 Speaker 1: director deals for the films and television shows. I was 810 00:44:32,360 --> 00:44:36,440 Speaker 1: doing all the production legal on the film. So like 811 00:44:36,760 --> 00:44:40,760 Speaker 1: basically from pre production, production, post production, all those different 812 00:44:40,760 --> 00:44:45,520 Speaker 1: agreements like location agreements, equipment, um VFX, everything like anything 813 00:44:45,600 --> 00:44:48,920 Speaker 1: to think of travel, even booking the private jets for 814 00:44:48,960 --> 00:44:51,879 Speaker 1: the talent that didn't want to fly first class or whatever. 815 00:44:51,920 --> 00:44:55,400 Speaker 1: So there's like a separate group at Disney that did that. 816 00:44:56,080 --> 00:45:00,360 Speaker 1: I did corporate stuff, real estate, random stuff, merchandise license, 817 00:45:00,480 --> 00:45:03,440 Speaker 1: thousands of license agreements for you know, putting Spider Man 818 00:45:03,440 --> 00:45:05,719 Speaker 1: on backpacks and T shirts and stuff like that. So 819 00:45:06,239 --> 00:45:07,799 Speaker 1: really I was there for it was six years. I 820 00:45:07,840 --> 00:45:10,239 Speaker 1: did a ton of different things. So you yeah, you 821 00:45:10,239 --> 00:45:14,080 Speaker 1: were there. It's heaviest period. Yeah, I was there from 822 00:45:14,120 --> 00:45:18,080 Speaker 1: if you want to Iron Man Too coming out being 823 00:45:18,120 --> 00:45:23,080 Speaker 1: released to uh cap Civil War going into pre production. 824 00:45:24,160 --> 00:45:28,640 Speaker 1: Basically like that's great. So what this movie is significant 825 00:45:28,719 --> 00:45:33,319 Speaker 1: from a like licensing perspective, right, because isn't there like 826 00:45:33,640 --> 00:45:37,000 Speaker 1: X Men crossovers happening in this one? Yeah? So this 827 00:45:37,080 --> 00:45:39,600 Speaker 1: is the first. Uh So Kevin five you for those 828 00:45:39,640 --> 00:45:41,880 Speaker 1: that don't know, is the kind of the creative head 829 00:45:41,920 --> 00:45:45,680 Speaker 1: of the Marvel Cinematic universe, and he actually got his 830 00:45:45,719 --> 00:45:49,080 Speaker 1: start working on Superman and I think X Men films 831 00:45:49,080 --> 00:45:51,920 Speaker 1: which were licensed out. So for a long time, the 832 00:45:51,960 --> 00:45:54,719 Speaker 1: film rights to the X Men characters, who who are 833 00:45:54,760 --> 00:45:59,439 Speaker 1: Marvel comic characters were controlled by Fox, and Disney bought 834 00:45:59,440 --> 00:46:03,480 Speaker 1: Fox a cup years ago, so now Disney, who owns Marvel, 835 00:46:04,120 --> 00:46:07,000 Speaker 1: and Fox are under the same corporate umbrella. So now 836 00:46:07,040 --> 00:46:10,400 Speaker 1: the Marvel creative team can use the X Men and 837 00:46:10,520 --> 00:46:14,080 Speaker 1: Doctor Strange too. Is the first movie where they're able 838 00:46:14,120 --> 00:46:18,879 Speaker 1: to sort of freely incorporate them, right that makes sense? Yeah? Yeah, 839 00:46:19,320 --> 00:46:23,280 Speaker 1: So mash what what What are your thoughts how they do? 840 00:46:24,440 --> 00:46:27,680 Speaker 1: From a fan perspective, I thought it was a fun movie. 841 00:46:28,239 --> 00:46:30,359 Speaker 1: I thought it was a blast. I went in there 842 00:46:30,719 --> 00:46:32,920 Speaker 1: didn't have much expect I tried not to watch many 843 00:46:32,920 --> 00:46:35,920 Speaker 1: of the trailers because I didn't want spoilers because, honestly, man, 844 00:46:35,960 --> 00:46:37,560 Speaker 1: of these trailers, now I get it, you're trying to 845 00:46:37,600 --> 00:46:39,440 Speaker 1: get people in theaters, but they just give you all 846 00:46:39,440 --> 00:46:43,359 Speaker 1: the surprises and it ruins the whole movie. Yeah, because 847 00:46:43,400 --> 00:46:45,960 Speaker 1: I heard Patrick Stewart's voice in a trailer and I 848 00:46:46,000 --> 00:46:48,960 Speaker 1: was like what, yeah, and it's like and then you know, 849 00:46:49,040 --> 00:46:51,560 Speaker 1: and like I won't say with you any other spoilers, 850 00:46:51,560 --> 00:46:54,439 Speaker 1: but you know, especially with like fandom now, like people 851 00:46:54,440 --> 00:46:56,319 Speaker 1: are like leaking stuff and it's like just go and 852 00:46:56,400 --> 00:46:58,759 Speaker 1: enjoy the movie, have some fun. This is the first 853 00:46:58,800 --> 00:47:01,600 Speaker 1: time I went to normal we go to an Imax 854 00:47:01,680 --> 00:47:04,760 Speaker 1: in Midtown, but we went to our local man. Buddy 855 00:47:04,760 --> 00:47:07,640 Speaker 1: and I went to our local Williamsburg cinema, which was 856 00:47:07,680 --> 00:47:10,399 Speaker 1: a lot of fun because people were like yelling at 857 00:47:10,400 --> 00:47:14,880 Speaker 1: the screen and it was clapping. Honestly fun movie. I 858 00:47:14,920 --> 00:47:18,000 Speaker 1: thought the interesting thing about the movie besides um, you know, 859 00:47:18,120 --> 00:47:22,520 Speaker 1: some interesting character developments, was that it really shows Disney 860 00:47:22,520 --> 00:47:25,000 Speaker 1: and Paul and I talked about this recently on our 861 00:47:25,000 --> 00:47:29,120 Speaker 1: show where we talked about the like the the master 862 00:47:29,280 --> 00:47:32,760 Speaker 1: planning of Disney Plus and how if you haven't watched 863 00:47:32,840 --> 00:47:35,759 Speaker 1: Wan Division or what if going into the movie, you're 864 00:47:35,760 --> 00:47:38,800 Speaker 1: watching it after because you need context one way or 865 00:47:38,840 --> 00:47:41,520 Speaker 1: the other. You need to watch the Disney Plus context 866 00:47:41,880 --> 00:47:44,760 Speaker 1: at the content that gives you context for the movies. 867 00:47:45,000 --> 00:47:47,320 Speaker 1: And it's I mean to design it in a way 868 00:47:47,360 --> 00:47:50,040 Speaker 1: like that. Just from a business perspective and a content perspective. 869 00:47:50,239 --> 00:47:52,719 Speaker 1: I just think it's pretty cool, right. It makes sense 870 00:47:52,800 --> 00:47:57,000 Speaker 1: that you have like it's truly all many people consume. 871 00:47:57,040 --> 00:47:59,200 Speaker 1: It's like I can get all of my like Marvel 872 00:47:59,360 --> 00:48:02,600 Speaker 1: Jolly's like, yeah, pretty much here. But the flip side 873 00:48:02,640 --> 00:48:05,080 Speaker 1: of that though, is like, and this is my wife's issue, 874 00:48:05,200 --> 00:48:07,880 Speaker 1: is like I can't watch fifteen hours worth of stuff 875 00:48:07,920 --> 00:48:12,359 Speaker 1: to go see a movie with you anything, right, Yeah. Yeah, 876 00:48:13,160 --> 00:48:16,399 Speaker 1: I only really watched the movies occasionally, and I feel 877 00:48:16,440 --> 00:48:19,719 Speaker 1: like I can pick up on what's happening most of 878 00:48:19,760 --> 00:48:24,000 Speaker 1: the time, and that's not really necessarily like I can 879 00:48:24,080 --> 00:48:26,759 Speaker 1: kind of intuit it. But yeah, I think that's my 880 00:48:26,880 --> 00:48:29,359 Speaker 1: design too, though. I think it's like they just give 881 00:48:29,400 --> 00:48:32,040 Speaker 1: you enough where if you're new, they still want like 882 00:48:32,040 --> 00:48:34,560 Speaker 1: a new person to come in and be able to 883 00:48:34,560 --> 00:48:37,799 Speaker 1: watch it. But to Paul's point, um, yeah, I mean 884 00:48:37,840 --> 00:48:39,239 Speaker 1: it is a lot you have to just kind of 885 00:48:39,280 --> 00:48:41,480 Speaker 1: watch it, like I watch it when it comes out, 886 00:48:41,520 --> 00:48:44,160 Speaker 1: so I'm not catching up right before the movie. Like, hey, Paul, 887 00:48:44,200 --> 00:48:46,359 Speaker 1: have you watched like thirty hours of these shows so 888 00:48:46,400 --> 00:48:48,279 Speaker 1: you can go to the movie? You have to go 889 00:48:48,320 --> 00:48:52,880 Speaker 1: to the YouTube. Yeah, he's got you know, four in 890 00:48:52,880 --> 00:48:56,640 Speaker 1: the morning, he's still doing contract negotiations and stuff, and 891 00:48:57,000 --> 00:49:00,800 Speaker 1: I'm sitting there telling about how Great Moon Night is. Alright, 892 00:49:00,840 --> 00:49:02,799 Speaker 1: So I don't want spoilers. I don't want to ask 893 00:49:02,840 --> 00:49:06,600 Speaker 1: you like how strange is doctor or how madness the 894 00:49:06,680 --> 00:49:10,760 Speaker 1: multiverse is. But um, so on. One thing that's happening 895 00:49:10,760 --> 00:49:14,279 Speaker 1: in the discourse just constantly, like now with everything, is 896 00:49:14,360 --> 00:49:18,080 Speaker 1: that the I guess the right is claiming this movie 897 00:49:18,680 --> 00:49:25,200 Speaker 1: is like, uh, this one has a woman who's bad 898 00:49:25,400 --> 00:49:29,279 Speaker 1: and we are the party of misogyny. I think they're 899 00:49:29,320 --> 00:49:32,920 Speaker 1: just like openly like that's us now. Um so yeah, 900 00:49:32,960 --> 00:49:36,839 Speaker 1: there we go, We're team this movie. Also, Sam Ramy 901 00:49:36,920 --> 00:49:40,880 Speaker 1: apparently like donated to George W. Bush and may have 902 00:49:40,920 --> 00:49:42,800 Speaker 1: been a Trump supporter, but we don't know the details 903 00:49:42,800 --> 00:49:45,800 Speaker 1: of that. But some of the arguments around this actually 904 00:49:46,520 --> 00:49:49,399 Speaker 1: like bring up interesting stuff. I don't I don't think 905 00:49:49,440 --> 00:49:52,880 Speaker 1: it's interesting to be like this movie is wholly bad 906 00:49:53,000 --> 00:49:56,760 Speaker 1: or wholly good, or that it is this movie it's dangerous. 907 00:49:56,880 --> 00:50:00,440 Speaker 1: Like it's a movie. It needs to have interesting ideas 908 00:50:00,440 --> 00:50:03,839 Speaker 1: in it for me to like watch it and then 909 00:50:03,880 --> 00:50:07,239 Speaker 1: think about it later. And it does seem like there's 910 00:50:07,239 --> 00:50:12,120 Speaker 1: a trend of the bad guys in Marvel movies having 911 00:50:12,920 --> 00:50:17,600 Speaker 1: compelling points of view that are like I remember that 912 00:50:17,640 --> 00:50:20,799 Speaker 1: from the First Avengers when like Loki came through and 913 00:50:20,880 --> 00:50:25,399 Speaker 1: like you know, he like ultimately he's about like fascism 914 00:50:25,440 --> 00:50:28,359 Speaker 1: and authoritarianism, but like he put it in a way 915 00:50:28,400 --> 00:50:31,279 Speaker 1: that I was like, that was like, I don't know, 916 00:50:31,320 --> 00:50:33,759 Speaker 1: are they trying to get people on board with with 917 00:50:33,800 --> 00:50:36,120 Speaker 1: what he's saying? Like they did. They did a good 918 00:50:36,200 --> 00:50:39,480 Speaker 1: job writing him in a way that like I feel 919 00:50:39,520 --> 00:50:46,000 Speaker 1: like other past previous superhero movies might not have done. 920 00:50:46,400 --> 00:50:49,440 Speaker 1: But now people are pointing out that like Thanos quotes 921 00:50:49,600 --> 00:50:53,560 Speaker 1: a bunch of like environmentalism like talking points, kill Monger 922 00:50:54,160 --> 00:51:00,319 Speaker 1: like is explicitly associated with the like militant American Black 923 00:51:00,360 --> 00:51:04,160 Speaker 1: Panther Party, and people are like it is Marvel like 924 00:51:04,320 --> 00:51:07,880 Speaker 1: trying to send an overall message that, like, you know, 925 00:51:08,000 --> 00:51:11,239 Speaker 1: the the Avengers are here to like bring things back 926 00:51:11,280 --> 00:51:14,280 Speaker 1: to a safe status quo. I don't think that means. 927 00:51:15,160 --> 00:51:17,759 Speaker 1: I think that's an interesting conversation without saying like, so 928 00:51:17,920 --> 00:51:22,600 Speaker 1: don't see these movies. You know, Miles, did you you 929 00:51:22,600 --> 00:51:26,279 Speaker 1: you objected to my my take the Loki had some 930 00:51:26,400 --> 00:51:29,719 Speaker 1: interesting things to say. No, it's just it's I think 931 00:51:29,760 --> 00:51:34,759 Speaker 1: it's like, you know, partially like writing right old superhero 932 00:51:34,800 --> 00:51:37,680 Speaker 1: films was always like here's good guy and here's bad guy. 933 00:51:37,760 --> 00:51:40,719 Speaker 1: Don't fucking worry about this full backstory. He's fucking bad, 934 00:51:40,760 --> 00:51:42,480 Speaker 1: and don't worry, Superman is gonna beat the ship. Out 935 00:51:42,480 --> 00:51:44,719 Speaker 1: of him. For you, it was like kind of like 936 00:51:44,760 --> 00:51:47,240 Speaker 1: the energy we took into it, and then over time 937 00:51:47,320 --> 00:51:50,560 Speaker 1: like there was this you know, there's more nuance to 938 00:51:50,600 --> 00:51:53,680 Speaker 1: writing like characters we think are bad or evil, you know, 939 00:51:53,760 --> 00:51:56,440 Speaker 1: and giving them a little more depth or texture. And 940 00:51:56,480 --> 00:51:58,839 Speaker 1: I think part of that does end up being like 941 00:51:59,280 --> 00:52:02,800 Speaker 1: how do we this guy who has some really problematic 942 00:52:02,880 --> 00:52:06,319 Speaker 1: ideas about the world more relatable because then we're kind 943 00:52:06,320 --> 00:52:08,520 Speaker 1: of pulling out that there that this isn't just like 944 00:52:08,560 --> 00:52:11,400 Speaker 1: a very one dimensional evil character. But I think on 945 00:52:11,440 --> 00:52:13,920 Speaker 1: the other side of that coin is someone who is 946 00:52:13,960 --> 00:52:16,120 Speaker 1: like not really thinking very critically will be like, yep, 947 00:52:16,239 --> 00:52:23,360 Speaker 1: exactly that part, dude, and therefore funk everybody who believes 948 00:52:23,640 --> 00:52:28,800 Speaker 1: the environmental talking points or that like eternal growth is unsustainable. 949 00:52:28,840 --> 00:52:30,840 Speaker 1: I think was one of the things Stan has talked about. 950 00:52:31,000 --> 00:52:35,040 Speaker 1: But also think of how many how many memes from 951 00:52:35,200 --> 00:52:39,200 Speaker 1: conservatism far right wing figures involve the m c U. 952 00:52:39,960 --> 00:52:43,520 Speaker 1: You know, like this is very popular stuff that everyone 953 00:52:43,680 --> 00:52:46,680 Speaker 1: is watching and for whatever, I mean, I think it's 954 00:52:46,680 --> 00:52:48,160 Speaker 1: like when it's just I don't know, maybe if it's 955 00:52:48,160 --> 00:52:50,240 Speaker 1: like a Rorschach test that like any of these people 956 00:52:50,320 --> 00:52:51,840 Speaker 1: just look at it like and this is how I 957 00:52:51,880 --> 00:52:54,719 Speaker 1: can make it a thing to reinforce my world. But 958 00:52:55,600 --> 00:52:57,200 Speaker 1: I don't know, I don't, I don't. I'm necessarily I 959 00:52:57,200 --> 00:53:00,000 Speaker 1: don't think there's a concerted effort, but who knows. I mean, 960 00:53:00,440 --> 00:53:03,680 Speaker 1: you know, more sinister things have happened, so you know 961 00:53:03,719 --> 00:53:07,360 Speaker 1: whether the comparison of social commentary political categories, like everybody 962 00:53:07,400 --> 00:53:10,239 Speaker 1: wants to claim something or get creative with it. I 963 00:53:10,280 --> 00:53:12,360 Speaker 1: mean ship when I was in college. First year in college, 964 00:53:12,360 --> 00:53:15,799 Speaker 1: we had like writing classes on you know how X 965 00:53:15,880 --> 00:53:19,880 Speaker 1: TV show is compared to like this historical event and 966 00:53:19,920 --> 00:53:21,920 Speaker 1: you have to write about it and almost come up 967 00:53:21,960 --> 00:53:24,839 Speaker 1: with creative ways to like compare the two. I'm sure 968 00:53:24,920 --> 00:53:29,040 Speaker 1: there's some like old school, there's you know, inspiration and right, 969 00:53:29,120 --> 00:53:31,520 Speaker 1: certain characters. I think the interesting thing that we see 970 00:53:31,560 --> 00:53:35,120 Speaker 1: now that either people want to claim something politically, but 971 00:53:35,200 --> 00:53:38,840 Speaker 1: in the case of these characters, I think one it 972 00:53:38,920 --> 00:53:41,880 Speaker 1: seems that there's a conscious effort to be like, Okay, 973 00:53:41,960 --> 00:53:43,480 Speaker 1: the world we live in now is to be more 974 00:53:43,480 --> 00:53:47,560 Speaker 1: inclusive too. By the way, there's multiple like you know, 975 00:53:47,719 --> 00:53:50,760 Speaker 1: they introduced this whole concept of variants, like there's different 976 00:53:50,920 --> 00:53:53,160 Speaker 1: versions of the same person. So the one villain could 977 00:53:53,200 --> 00:53:56,000 Speaker 1: actually be a good version in a different world. And 978 00:53:56,360 --> 00:53:59,080 Speaker 1: I don't know if that's actually being pushed to cover 979 00:53:59,280 --> 00:54:03,319 Speaker 1: all these potential like historic tracts of writing. But yeah, 980 00:54:03,360 --> 00:54:05,720 Speaker 1: I mean I think if you want, anyone could watch 981 00:54:05,800 --> 00:54:08,720 Speaker 1: these movies and these characters and claim it in however 982 00:54:08,760 --> 00:54:10,680 Speaker 1: way they would want. Would be my opinion on it. 983 00:54:11,200 --> 00:54:14,000 Speaker 1: You could flip it either way. Paul, you were at Marvel, 984 00:54:14,239 --> 00:54:16,400 Speaker 1: was there? Did you ever have to like do a 985 00:54:16,440 --> 00:54:20,080 Speaker 1: licensing deal with like Green Peace to be like, you 986 00:54:20,080 --> 00:54:24,160 Speaker 1: guys are gonna be our bad guys in this next movie. No, 987 00:54:24,400 --> 00:54:31,120 Speaker 1: I mean, it's an interesting question. We uh, I think listen, 988 00:54:31,120 --> 00:54:35,239 Speaker 1: there are there are relationships you don't want to uh 989 00:54:36,280 --> 00:54:40,840 Speaker 1: influence negatively, right, So for example, you know, it's a 990 00:54:40,880 --> 00:54:42,160 Speaker 1: business at the end of the day. I think people 991 00:54:42,200 --> 00:54:44,279 Speaker 1: have to read like they're not trying to necessarily make 992 00:54:44,280 --> 00:54:46,759 Speaker 1: a cultural statement. If they can, great, but like the 993 00:54:47,080 --> 00:54:52,480 Speaker 1: objective is to maximize revenue, maximize merchandise sales. Uh. And 994 00:54:52,600 --> 00:54:56,239 Speaker 1: so you know there's a time and I'm not gonna 995 00:54:56,239 --> 00:54:59,399 Speaker 1: say whether it was Marvel, but there are studios right 996 00:54:59,480 --> 00:55:02,200 Speaker 1: that before they finalize the script, they'll have a pre 997 00:55:02,320 --> 00:55:06,879 Speaker 1: screening where executives from Walmart or Target or whoever will 998 00:55:06,920 --> 00:55:09,120 Speaker 1: come in and watch and say, Okay, well maybe I 999 00:55:09,120 --> 00:55:12,400 Speaker 1: could fit this many toys in my in my aisle, 1000 00:55:12,520 --> 00:55:14,480 Speaker 1: right or I like this part of it. And so 1001 00:55:14,800 --> 00:55:17,279 Speaker 1: you know, there's there's a commercial element, I think, which 1002 00:55:17,320 --> 00:55:19,879 Speaker 1: which drives a lot of this. Uh. And I think 1003 00:55:19,960 --> 00:55:24,160 Speaker 1: the ror check test, uh that that that that idea 1004 00:55:24,480 --> 00:55:26,880 Speaker 1: that you know, people will make of it what they will, right, 1005 00:55:26,920 --> 00:55:29,600 Speaker 1: they'll they'll they'll take cues because I think the idea 1006 00:55:29,719 --> 00:55:32,280 Speaker 1: is to sort of hit it close to the middle, 1007 00:55:32,440 --> 00:55:35,759 Speaker 1: not really offend anyone, maximize revenue, make a statement if 1008 00:55:35,800 --> 00:55:39,359 Speaker 1: you can, but that's not really the objective. And on 1009 00:55:39,400 --> 00:55:42,080 Speaker 1: the black Panther side, I mean I thought I left 1010 00:55:42,080 --> 00:55:44,160 Speaker 1: that movie Rest in Peace Chad with Boseman thinking kill 1011 00:55:44,239 --> 00:55:47,080 Speaker 1: Monger was the best character, right, Like he not that 1012 00:55:47,120 --> 00:55:49,120 Speaker 1: I necessarily resonated with him, but he was like an 1013 00:55:49,120 --> 00:55:53,160 Speaker 1: awesome guy and I didn't. I mean, his politics, as 1014 00:55:53,200 --> 00:55:56,560 Speaker 1: his vendetta, his anger were kind of all justified given 1015 00:55:56,600 --> 00:55:59,120 Speaker 1: the background and what he sort of went through growing up. 1016 00:55:59,160 --> 00:56:01,920 Speaker 1: So um, yeah, I think you could look at it 1017 00:56:01,960 --> 00:56:06,440 Speaker 1: and say that he was glorified in a lot of ways. Yeah, yeah, yeah, 1018 00:56:06,560 --> 00:56:09,400 Speaker 1: I guess I guess it's that that's a really good point. 1019 00:56:09,560 --> 00:56:12,919 Speaker 1: And like the reading of this that I disagree with. 1020 00:56:13,040 --> 00:56:19,280 Speaker 1: That's like Marvel is bad because they're the good guys 1021 00:56:19,280 --> 00:56:22,160 Speaker 1: in that are you know, conservative is like, well, they're 1022 00:56:22,200 --> 00:56:26,080 Speaker 1: making movies with like interesting ideas in them being played 1023 00:56:26,120 --> 00:56:30,440 Speaker 1: by our most charismatic actors, you know, like Michael B. 1024 00:56:30,600 --> 00:56:33,799 Speaker 1: Jordan's and then yeah, like the bad guys are like 1025 00:56:33,840 --> 00:56:38,280 Speaker 1: where where to put the fun stuff? Like Keith Ledger's 1026 00:56:38,360 --> 00:56:44,359 Speaker 1: Joker Hans Gruber to my favorite. Yeah, well, I root 1027 00:56:44,440 --> 00:56:47,120 Speaker 1: for them to be on on screen more. And like, 1028 00:56:47,640 --> 00:56:50,719 Speaker 1: you know, part they don't have to make sense, Like 1029 00:56:50,760 --> 00:56:54,560 Speaker 1: the fact that they're on screen only to like pop 1030 00:56:54,680 --> 00:56:58,200 Speaker 1: up say something badass and then like kill someone makes 1031 00:56:58,239 --> 00:57:01,720 Speaker 1: it a much easier character to write and be awesome 1032 00:57:01,840 --> 00:57:04,600 Speaker 1: and be cool, and and like the fact as long 1033 00:57:04,600 --> 00:57:08,560 Speaker 1: as they're you know, philosophy sounds badass, Like it doesn't 1034 00:57:08,600 --> 00:57:10,480 Speaker 1: need to hold together. Like the fact that the Joker 1035 00:57:10,560 --> 00:57:12,919 Speaker 1: is an agent of chaos and also has the most 1036 00:57:12,960 --> 00:57:18,280 Speaker 1: meticulously planned like just forty parts schemes you know, constantly 1037 00:57:18,320 --> 00:57:21,280 Speaker 1: swirling around him. It doesn't make sense, but it doesn't 1038 00:57:21,280 --> 00:57:25,640 Speaker 1: have to because it's just like how antagonists work in movies. 1039 00:57:25,680 --> 00:57:28,840 Speaker 1: But vergence of the anti hero, right, Like we just 1040 00:57:28,960 --> 00:57:32,280 Speaker 1: generally like those weird characters that are like the dead 1041 00:57:32,280 --> 00:57:35,760 Speaker 1: Pools through Wolverines, like a Don Draper, Like they're likable 1042 00:57:35,800 --> 00:57:40,360 Speaker 1: but not likable Bain. We like like these characters. Yeah, 1043 00:57:40,520 --> 00:57:47,480 Speaker 1: he made really high pitched voices. Fucking awesome. Man. You man, 1044 00:57:47,520 --> 00:57:50,640 Speaker 1: that's so interesting about the movies having to go through 1045 00:57:50,720 --> 00:57:56,360 Speaker 1: like a a focus group of executives, because anytime I've 1046 00:57:56,400 --> 00:57:58,720 Speaker 1: been involved with the creative project that needs to be 1047 00:57:58,760 --> 00:58:05,720 Speaker 1: focus grouped by a brand, it's not good for the ye. 1048 00:58:06,200 --> 00:58:10,320 Speaker 1: The notes are usually pretty pretty wild. So I don't 1049 00:58:10,360 --> 00:58:13,120 Speaker 1: know that that explains something. Well, what'd you say, like 1050 00:58:13,200 --> 00:58:15,920 Speaker 1: that is the benefit of Marvel is just Kevin Figi 1051 00:58:16,080 --> 00:58:18,560 Speaker 1: is it can he's an executive, but he's also like 1052 00:58:18,920 --> 00:58:21,240 Speaker 1: the creative vision behind it also, like he can make 1053 00:58:21,280 --> 00:58:25,480 Speaker 1: both decisions. Yeah, exactly. Like And I'm not suggesting that 1054 00:58:25,520 --> 00:58:28,040 Speaker 1: it was Marvel or that there would be like a 1055 00:58:28,080 --> 00:58:31,720 Speaker 1: complete rewrite at the you know, behest of a corporate 1056 00:58:31,720 --> 00:58:35,000 Speaker 1: executive for Walmart. I'm just saying that, you know, on 1057 00:58:35,040 --> 00:58:37,360 Speaker 1: the margins, maybe there's a thumb on the scale. Maybe 1058 00:58:37,400 --> 00:58:40,160 Speaker 1: they're like, oh, if you could fit this this, you know, 1059 00:58:40,240 --> 00:58:44,160 Speaker 1: this gun or this toy gun, whatever would sell really well. 1060 00:58:44,280 --> 00:58:46,320 Speaker 1: Or oh, it's get another shot of this hammer in 1061 00:58:46,360 --> 00:58:48,880 Speaker 1: here a little bit longer because we're gonna make this 1062 00:58:48,920 --> 00:58:51,400 Speaker 1: plush hammer or that whatever that has growth or hammer 1063 00:58:51,440 --> 00:58:54,760 Speaker 1: that was sold out forever. I mean, I'm just saying, 1064 00:58:54,800 --> 00:58:57,360 Speaker 1: like on in the margins, that could that could be 1065 00:58:57,400 --> 00:59:00,040 Speaker 1: a part of it, but it's not. I don't I 1066 00:59:00,080 --> 00:59:03,960 Speaker 1: gets driving anyone's like creatively. And I also don't think 1067 00:59:04,000 --> 00:59:06,920 Speaker 1: that you know, if if Kevin are a creative exactly 1068 00:59:07,160 --> 00:59:10,240 Speaker 1: we're like, no, I don't want to you know, focus 1069 00:59:10,240 --> 00:59:12,960 Speaker 1: on this or feature this this piece of merchandise, then 1070 00:59:13,160 --> 00:59:16,560 Speaker 1: they wouldn't do it. But ultimately, there's a lot of 1071 00:59:16,600 --> 00:59:19,440 Speaker 1: cooks in the kitchen. The creative head is going to 1072 00:59:19,520 --> 00:59:24,000 Speaker 1: have final say. But it's and to to Miles point 1073 00:59:24,760 --> 00:59:26,960 Speaker 1: that these stories are a lot more nuanced than they 1074 00:59:26,960 --> 00:59:29,240 Speaker 1: were twenty years ago because you're making three of them 1075 00:59:29,240 --> 00:59:31,280 Speaker 1: a year or four of them a year, and there 1076 00:59:31,320 --> 00:59:33,800 Speaker 1: you know, two hundred million dollar budgets, so they can't 1077 00:59:33,840 --> 00:59:39,880 Speaker 1: just be uh, you know, very plain vanilla anymore. Right, Yeah, yeah, me, 1078 00:59:39,880 --> 00:59:42,360 Speaker 1: because they were so formulate, and I think that maybe 1079 00:59:42,680 --> 00:59:45,320 Speaker 1: the reason why people even began to crave an anti 1080 00:59:45,360 --> 00:59:47,840 Speaker 1: heroo more is because I felt like our the good 1081 00:59:47,840 --> 00:59:51,200 Speaker 1: guy bad guy buying arey became so formulaic. They're like, 1082 00:59:51,240 --> 00:59:54,440 Speaker 1: here we go, inciting incident. The bad guy came to town. 1083 00:59:54,520 --> 00:59:56,560 Speaker 1: Now the good guys got to figure it out. And 1084 00:59:56,560 --> 00:59:58,640 Speaker 1: then in the final battle, he's gonna lose real bad 1085 00:59:58,680 --> 01:00:01,680 Speaker 1: in the beginning, and then he's gonna pull it out 1086 01:00:01,720 --> 01:00:04,520 Speaker 1: at the end. And I think the ebb and flow 1087 01:00:04,560 --> 01:00:06,320 Speaker 1: of that may have gotten a little bit stale. And 1088 01:00:06,360 --> 01:00:08,840 Speaker 1: I think why even like, even like James Bond, when 1089 01:00:08,920 --> 01:00:11,280 Speaker 1: Daniel Craig started playing James Bond, like they were even like, 1090 01:00:11,320 --> 01:00:15,880 Speaker 1: this guy's kind of fucked up, you know. Yeah, But 1091 01:00:16,000 --> 01:00:18,760 Speaker 1: I was like, no, I like this. As a younger viewer, 1092 01:00:18,800 --> 01:00:21,760 Speaker 1: I was like, this is dope, because this this, this 1093 01:00:21,840 --> 01:00:23,680 Speaker 1: is what exactly I don't like to see these people 1094 01:00:23,760 --> 01:00:25,840 Speaker 1: is just like I feel nothing. I do everything the 1095 01:00:25,880 --> 01:00:29,520 Speaker 1: same every day. I kill people. Plenty of women's lives 1096 01:00:29,520 --> 01:00:33,760 Speaker 1: are lost because of my actions, and I'm fine the 1097 01:00:33,880 --> 01:00:37,480 Speaker 1: narial disease, right, but I am blonde hair, now what 1098 01:00:37,520 --> 01:00:40,120 Speaker 1: the fuck? Yeah? But I mean I think all those 1099 01:00:40,160 --> 01:00:42,480 Speaker 1: things kind of come together and begin to sort of 1100 01:00:42,560 --> 01:00:44,720 Speaker 1: shape all those things, and I think to the what 1101 01:00:44,760 --> 01:00:47,080 Speaker 1: you're saying about brands coming in and looking at things 1102 01:00:47,120 --> 01:00:49,280 Speaker 1: of course, like these are all these are all revenue 1103 01:00:49,320 --> 01:00:51,880 Speaker 1: generating endeavors. And even like we've talked about in the past, 1104 01:00:51,960 --> 01:00:54,160 Speaker 1: Jack about how the Pentagon can even get involved with 1105 01:00:54,240 --> 01:00:58,240 Speaker 1: things when you equipment that like, yeah, sometimes they will 1106 01:00:58,320 --> 01:01:02,360 Speaker 1: have real notes um to to weigh in because of 1107 01:01:02,520 --> 01:01:04,560 Speaker 1: you know, there there's a there's a relationship there. But 1108 01:01:04,640 --> 01:01:07,920 Speaker 1: I think, uh yeah, looking at all of those things together, 1109 01:01:08,200 --> 01:01:11,760 Speaker 1: it's you kind of get a better understanding of like, well, 1110 01:01:11,880 --> 01:01:14,280 Speaker 1: is it so sinister? Is it more just like no, 1111 01:01:14,400 --> 01:01:16,840 Speaker 1: we kind of got to make it sort of nebulous, 1112 01:01:16,880 --> 01:01:19,840 Speaker 1: so the most amount of people come and say they 1113 01:01:19,880 --> 01:01:22,400 Speaker 1: like it and continue to like it. Yeah. I think 1114 01:01:22,480 --> 01:01:26,240 Speaker 1: up until very recently, like the Pentagon was still like 1115 01:01:26,480 --> 01:01:31,560 Speaker 1: top Gun is still our best recruiting tool, like has 1116 01:01:31,880 --> 01:01:35,360 Speaker 1: has been, continues to be is and now they have 1117 01:01:35,400 --> 01:01:38,880 Speaker 1: a sequel coming out and war were they fighting? They weren't. 1118 01:01:39,240 --> 01:01:42,840 Speaker 1: It was just it was like unnamed bad guy, this 1119 01:01:42,920 --> 01:01:47,800 Speaker 1: is this is a hot Yeah. Yeah, well yeah, this 1120 01:01:47,840 --> 01:01:50,200 Speaker 1: has been. It's been really fun having you on Paul 1121 01:01:50,720 --> 01:01:53,040 Speaker 1: Paul where you can people find you, follow you, hear 1122 01:01:53,080 --> 01:01:55,440 Speaker 1: you all that good stuff, so better called Paul. The 1123 01:01:55,480 --> 01:01:59,280 Speaker 1: podcast is Instagram. Uh, and then it's PAULA say hi, 1124 01:01:59,360 --> 01:02:03,480 Speaker 1: Lola is my email and the podcast is better called Paul. 1125 01:02:04,400 --> 01:02:07,160 Speaker 1: So I don't know where you get your podcasts, Apple, Spotify, Stitcher, 1126 01:02:07,360 --> 01:02:10,120 Speaker 1: you name it. We've never had anyone give their email 1127 01:02:10,440 --> 01:02:13,200 Speaker 1: or people just able to hit you up. We have 1128 01:02:13,320 --> 01:02:15,720 Speaker 1: we have an email so they can hit Paul's specific 1129 01:02:15,920 --> 01:02:19,000 Speaker 1: got it? Okay, damn? All right, you have some curious, 1130 01:02:19,040 --> 01:02:24,600 Speaker 1: curious listeners about your time there. Uh, Mesh, how about you? Yeah, no, 1131 01:02:24,760 --> 01:02:27,280 Speaker 1: check out the podcast better called Paul. I'm at Mesh 1132 01:02:27,360 --> 01:02:31,080 Speaker 1: Lakhani on Twitter and uh, always happy to engage with 1133 01:02:31,120 --> 01:02:33,720 Speaker 1: folks and really appreciate you guys having a son. This 1134 01:02:33,800 --> 01:02:37,080 Speaker 1: is a lot of fun. Yes, fun. Conversations are great, 1135 01:02:37,600 --> 01:02:42,840 Speaker 1: very very informed. And is there a tweet or some 1136 01:02:42,880 --> 01:02:46,200 Speaker 1: of the work of social media you guys have been enjoying. 1137 01:02:46,840 --> 01:02:49,760 Speaker 1: I actually had a couple here um that I took 1138 01:02:49,760 --> 01:02:52,120 Speaker 1: down that I found a good one today. Did not notice. 1139 01:02:52,120 --> 01:02:53,520 Speaker 1: I felt like an idiot when I read this, but 1140 01:02:53,680 --> 01:02:56,480 Speaker 1: someone wrote, I've been on Twitter since two thousand nine. 1141 01:02:56,480 --> 01:02:59,440 Speaker 1: I'm just now realizing the home button is a birdhouse. 1142 01:03:00,080 --> 01:03:03,120 Speaker 1: I laughed out loud because that did not occur to 1143 01:03:03,160 --> 01:03:07,480 Speaker 1: me until today. Um. And then uh, yeah, I know 1144 01:03:07,600 --> 01:03:09,440 Speaker 1: there's another one of someone said there will never be 1145 01:03:09,480 --> 01:03:12,760 Speaker 1: another product that inspires me so much, that inspires so 1146 01:03:12,840 --> 01:03:15,800 Speaker 1: much envy and me as the original iPod did back 1147 01:03:15,800 --> 01:03:18,280 Speaker 1: in two thousand one, and it was just like a 1148 01:03:18,320 --> 01:03:20,040 Speaker 1: picture of it, and I thought that was actually cool 1149 01:03:20,040 --> 01:03:22,240 Speaker 1: because it was so innovative. And since then, you know, 1150 01:03:22,760 --> 01:03:25,200 Speaker 1: like things have gotten a little boring. But yeah, man, 1151 01:03:25,240 --> 01:03:27,240 Speaker 1: those are two tweets that I found today that the 1152 01:03:27,280 --> 01:03:29,680 Speaker 1: other one is really about bear markets and stuff. But 1153 01:03:29,720 --> 01:03:32,680 Speaker 1: I won't bore everybody with that ship. And they they 1154 01:03:32,720 --> 01:03:36,520 Speaker 1: just discontinue the iPod, right, that was the big, big 1155 01:03:36,560 --> 01:03:39,520 Speaker 1: news that what happened. Oh, I didn't even realize that. 1156 01:03:39,560 --> 01:03:43,040 Speaker 1: I didn't even know they sold iPods anymore. So I 1157 01:03:43,080 --> 01:03:45,800 Speaker 1: just thought I thought it all became an iPod touch 1158 01:03:45,920 --> 01:03:48,760 Speaker 1: at a certain point. Yeah, exactly, and they just can't 1159 01:03:48,960 --> 01:03:53,840 Speaker 1: didn't discontinue to touch. Yeah, I think they're discontinuing all 1160 01:03:54,480 --> 01:03:56,640 Speaker 1: you were not allowed to say the word iPod anymore, 1161 01:03:57,280 --> 01:04:01,760 Speaker 1: but please Yeah, now you have to buy a new 1162 01:04:01,800 --> 01:04:04,840 Speaker 1: phone that has a head foot jack headphone jack from 1163 01:04:04,840 --> 01:04:07,200 Speaker 1: your old headphones that just did not work. And then 1164 01:04:07,240 --> 01:04:10,360 Speaker 1: now we have to buy another that their real troll movies. 1165 01:04:10,400 --> 01:04:12,800 Speaker 1: It's going to have the headphone jack from the first 1166 01:04:12,840 --> 01:04:16,080 Speaker 1: iPod that had a remote on the thing. So it 1167 01:04:16,160 --> 01:04:19,080 Speaker 1: was like that like three and a half million being 1168 01:04:19,120 --> 01:04:21,880 Speaker 1: plus like a circular thing to send the data for 1169 01:04:21,880 --> 01:04:24,520 Speaker 1: the remote. That's how they're gonna suck us. That's it. 1170 01:04:24,840 --> 01:04:27,720 Speaker 1: That's it. But I got mine on deck. Miles, where 1171 01:04:27,760 --> 01:04:29,720 Speaker 1: can people find you? What's a tweet you've been enjoying? 1172 01:04:30,040 --> 01:04:33,360 Speaker 1: Man find me on Twitter and Instagram at Miles of Gray. 1173 01:04:33,560 --> 01:04:36,880 Speaker 1: That's great with an A. And also, if you like basketball, 1174 01:04:37,000 --> 01:04:40,240 Speaker 1: check out the basketball show Miles and Jack Got Mad Boosties. 1175 01:04:40,280 --> 01:04:44,120 Speaker 1: It's an NBA podcast official. You know they decided to 1176 01:04:44,360 --> 01:04:47,760 Speaker 1: get in get involved with two rapscallions like us. And 1177 01:04:47,800 --> 01:04:50,040 Speaker 1: also if you like a trash reality check out my 1178 01:04:50,080 --> 01:04:53,480 Speaker 1: other show for twenty day Fiance. Uh. Some tweets that 1179 01:04:53,480 --> 01:04:57,440 Speaker 1: I like. First one is from a m E Chopper 1180 01:04:57,520 --> 01:05:00,600 Speaker 1: at Melick tom Is tweeted this buzz light your this 1181 01:05:00,640 --> 01:05:02,680 Speaker 1: buzz light. You're moving going to be good until you 1182 01:05:02,680 --> 01:05:04,440 Speaker 1: got to do an origin story for Woody and we 1183 01:05:04,480 --> 01:05:06,600 Speaker 1: find out he was a slave overseer at a cotton 1184 01:05:06,600 --> 01:05:11,760 Speaker 1: plantation in Antebellum, Texas. Uh. And this one another one 1185 01:05:11,800 --> 01:05:15,720 Speaker 1: is from g cush Baby tweeted a party, but everyone 1186 01:05:15,760 --> 01:05:21,200 Speaker 1: brings potatoes prepared a different way. Yeah. I like that. Well, 1187 01:05:21,240 --> 01:05:24,360 Speaker 1: we we know that what the difference between the fries 1188 01:05:24,480 --> 01:05:27,760 Speaker 1: between Miles and Paul are gonna be yea rare the 1189 01:05:27,800 --> 01:05:30,520 Speaker 1: other is gonna be or like I'll take an old 1190 01:05:30,520 --> 01:05:34,320 Speaker 1: Plato thing, like the old McDonald's plato potatoes in it 1191 01:05:34,400 --> 01:05:40,120 Speaker 1: and just be like, here're the fries. You can find 1192 01:05:40,120 --> 01:05:42,280 Speaker 1: me on Twitter, Jack Underscore Brian to tweet up and 1193 01:05:42,360 --> 01:05:47,920 Speaker 1: enjoying Paris at so hilarious. Hilton tweeted me having remembered 1194 01:05:47,960 --> 01:05:51,600 Speaker 1: girls like it when you asked them questions what's your problem? 1195 01:05:51,840 --> 01:05:55,240 Speaker 1: And uh and then just gotta give it up, Mariam 1196 01:05:55,280 --> 01:05:58,600 Speaker 1: Posner giving it up for footnotes, reading a book with 1197 01:05:58,680 --> 01:06:02,400 Speaker 1: footnotes instead of and notes and sorry, haters, it's so 1198 01:06:02,480 --> 01:06:06,040 Speaker 1: much better, It's true. Yeah. So from now on, we 1199 01:06:06,080 --> 01:06:10,120 Speaker 1: will be just doing the citations in the episode right 1200 01:06:10,480 --> 01:06:13,160 Speaker 1: right when we read from an article, well, I will 1201 01:06:13,200 --> 01:06:15,360 Speaker 1: be reading off the U R L. Yes, the text 1202 01:06:16,760 --> 01:06:22,240 Speaker 1: http dot com and then what the fell tweeted on 1203 01:06:22,360 --> 01:06:24,919 Speaker 1: a lot of things, But first and foremost, I'm a 1204 01:06:25,000 --> 01:06:33,000 Speaker 1: Taco Bell customer. And oh and Skyler Higley tweeted, the 1205 01:06:33,040 --> 01:06:35,360 Speaker 1: star spangled banner sounds like it was made up on 1206 01:06:35,400 --> 01:06:43,760 Speaker 1: the spot and oh say can you see it? Sounds 1207 01:06:43,800 --> 01:06:47,400 Speaker 1: like yeah, put on the spot real early in the morning. Yeah, 1208 01:06:47,600 --> 01:06:54,560 Speaker 1: by the uh. You can find us on Twitter at 1209 01:06:54,600 --> 01:06:57,200 Speaker 1: Daily's like guys were at the Daily's like guys on Instagram. 1210 01:06:57,240 --> 01:07:00,200 Speaker 1: We have Facebook fan page and a website, Daily zi 1211 01:07:00,280 --> 01:07:02,040 Speaker 1: guys dot com, where we post our episodes. On our 1212 01:07:02,080 --> 01:07:04,720 Speaker 1: foot notes, we link off to the information that we 1213 01:07:04,720 --> 01:07:06,960 Speaker 1: talked about in today's episode, as well as a song 1214 01:07:07,000 --> 01:07:09,560 Speaker 1: that we think you might enjoy. Myles, what song do 1215 01:07:09,560 --> 01:07:11,520 Speaker 1: we think people might enjoy? Oh, let's go out on 1216 01:07:11,840 --> 01:07:15,200 Speaker 1: one of my favorite producers from Australia, Taku And this 1217 01:07:15,240 --> 01:07:17,880 Speaker 1: is a track called make You Want To And it's 1218 01:07:17,920 --> 01:07:22,800 Speaker 1: just good dancy sample based beats. Uh. You should like them. 1219 01:07:22,800 --> 01:07:24,920 Speaker 1: They're good and a taco in general check if you're 1220 01:07:24,920 --> 01:07:28,440 Speaker 1: not familiar with tacu. Uh. Really great artists can't recommend 1221 01:07:28,480 --> 01:07:31,160 Speaker 1: him enough? All right? Well, The Daily Zey Guys is 1222 01:07:31,200 --> 01:07:33,240 Speaker 1: a production of my Heart Radio. From more podcasts from 1223 01:07:33,280 --> 01:07:35,200 Speaker 1: my heart Radio, visit the i Heart Radio app. Apple 1224 01:07:35,280 --> 01:07:38,000 Speaker 1: Podcast or wherever you listen your favorite shows. That is 1225 01:07:38,000 --> 01:07:40,160 Speaker 1: going to do it for us this morning. We're back 1226 01:07:40,200 --> 01:07:42,720 Speaker 1: this afternoon to tell you what is trending and we 1227 01:07:42,720 --> 01:07:44,280 Speaker 1: will talk to you all then by