1 00:00:00,080 --> 00:00:03,040 Speaker 1: Hello the Internet, and welcome to Season to thirty five, 2 00:00:03,200 --> 00:00:08,160 Speaker 1: Episode five of JO Days. Like guys, it's the finale, 3 00:00:08,560 --> 00:00:11,399 Speaker 1: a production of I Heart Radio and a podcast where 4 00:00:11,400 --> 00:00:13,760 Speaker 1: you take a deep dive into America's share consciousness. It 5 00:00:13,960 --> 00:00:20,040 Speaker 1: is Friday, May six, two, which means it's National Nurse's Day, 6 00:00:20,920 --> 00:00:25,480 Speaker 1: all right. Also, don't forget Mother's Day coming up to Yeah, 7 00:00:25,520 --> 00:00:29,760 Speaker 1: if that is coming up two days. Yeah. If you 8 00:00:29,760 --> 00:00:33,320 Speaker 1: are entire sense of a za guys comes from this show. 9 00:00:33,520 --> 00:00:38,600 Speaker 1: Do not miss out just because we don't publish on Sunday. Yeah. 10 00:00:38,800 --> 00:00:40,839 Speaker 1: If there are things are happening on the get the 11 00:00:40,880 --> 00:00:46,760 Speaker 1: plans in motion, it's not too late. I do, I do. Okay, 12 00:00:47,200 --> 00:00:51,120 Speaker 1: we're gonna do a picnic at the Lacmath and then 13 00:00:51,200 --> 00:00:55,360 Speaker 1: we're gonna go inside the Lacmath and steal a fine 14 00:00:55,400 --> 00:01:01,160 Speaker 1: work of art. Yeah. I'm just invited my mom over 15 00:01:01,200 --> 00:01:03,400 Speaker 1: because she want to see my dog, and then we're 16 00:01:03,440 --> 00:01:04,880 Speaker 1: gonna go out to eat. But she was like, I 17 00:01:04,880 --> 00:01:07,080 Speaker 1: want to see the dog, and I was like, sure, 18 00:01:07,120 --> 00:01:13,120 Speaker 1: I miss your dog. Let's come buy come through. That's 19 00:01:13,120 --> 00:01:14,920 Speaker 1: probably the type of parent I'll be. I want to 20 00:01:14,920 --> 00:01:17,320 Speaker 1: admit to my kids I missed them. I'll admit that 21 00:01:17,480 --> 00:01:20,360 Speaker 1: I missed their their pet. Oh yeah, no, I mean 22 00:01:20,440 --> 00:01:22,920 Speaker 1: my mom she misses me, but she I think she 23 00:01:23,200 --> 00:01:26,679 Speaker 1: very firmly also misses this dog like I don't even 24 00:01:26,680 --> 00:01:28,440 Speaker 1: know if that's covered. She's like, I want to see 25 00:01:28,480 --> 00:01:32,560 Speaker 1: your dog. So well, your mom is a is a 26 00:01:32,600 --> 00:01:35,520 Speaker 1: pet person, as we've covered. Yeah, did you see what 27 00:01:35,520 --> 00:01:39,000 Speaker 1: I posted like we did. That's the whole family of 28 00:01:39,120 --> 00:01:43,920 Speaker 1: poms coming in the house eating, and my mom was 29 00:01:43,959 --> 00:01:47,920 Speaker 1: just chilling recording it. Like m She said again, I 30 00:01:47,920 --> 00:01:49,960 Speaker 1: wish I could keep them as pets, but she said, 31 00:01:50,360 --> 00:01:52,480 Speaker 1: their true nature is to be wild, so I do 32 00:01:52,560 --> 00:01:54,800 Speaker 1: not want to limit their freedom. I was like, okay, 33 00:01:54,840 --> 00:01:57,600 Speaker 1: based mom, you know, go off very similar to her 34 00:01:57,640 --> 00:02:01,200 Speaker 1: parenting philosophy with you. You know, she like this, this 35 00:02:01,280 --> 00:02:06,240 Speaker 1: young man's true nature is to be wild. Told um, well, 36 00:02:06,280 --> 00:02:09,680 Speaker 1: my name is Jack O'Brien. A ka. If you could 37 00:02:09,760 --> 00:02:15,440 Speaker 1: only see the day Lee's I geist, maybe you would 38 00:02:15,560 --> 00:02:21,520 Speaker 1: understand why I talked this way and sounds so tired 39 00:02:22,240 --> 00:02:26,480 Speaker 1: and drank a ton of dow. If you could only 40 00:02:26,840 --> 00:02:32,480 Speaker 1: see the way that Miles can be when he says 41 00:02:33,600 --> 00:02:39,440 Speaker 1: when he says t d easy when out w That 42 00:02:39,600 --> 00:02:43,720 Speaker 1: is courtesy of Bohemian Rhapsody, who I had to reach 43 00:02:43,760 --> 00:02:46,000 Speaker 1: out to in the d M s and be like, hey, what, 44 00:02:46,000 --> 00:02:48,560 Speaker 1: what's what song is that? But once I heard it, 45 00:02:49,000 --> 00:02:51,800 Speaker 1: I I remember the hell out of that song. It's 46 00:02:52,000 --> 00:02:55,880 Speaker 1: if you can only see you hear me. And then 47 00:02:55,919 --> 00:02:58,400 Speaker 1: there's that one part where he's like, shame, no my 48 00:02:58,639 --> 00:03:07,480 Speaker 1: cheam o. Man. Know when Tonic Tonic their classic album 49 00:03:07,600 --> 00:03:12,000 Speaker 1: Lemon Parade, that sounds like a website, you know that 50 00:03:12,040 --> 00:03:14,799 Speaker 1: sounds like that sounds like they were like, oh you 51 00:03:14,800 --> 00:03:18,720 Speaker 1: you thought a Lemon party was bad, Well you check 52 00:03:18,720 --> 00:03:22,880 Speaker 1: out this ship. Yeah. So Andrew at Bohemian Rahapsody also 53 00:03:23,000 --> 00:03:25,280 Speaker 1: let me know, just because I've I've talked about the 54 00:03:25,320 --> 00:03:28,880 Speaker 1: fact that both the fact that at Bohemian Rapsody is 55 00:03:28,919 --> 00:03:33,040 Speaker 1: a great rap city is a great user name. He 56 00:03:33,480 --> 00:03:36,720 Speaker 1: let me know that he thought, up until last year, 57 00:03:36,840 --> 00:03:38,840 Speaker 1: that's what the song was called. He thought it was 58 00:03:38,880 --> 00:03:44,640 Speaker 1: called Bohemian City. Oh hell yeah, okay, I wish Yeah. 59 00:03:44,680 --> 00:03:47,800 Speaker 1: It makes me love it even more so. Shout out 60 00:03:47,880 --> 00:03:50,800 Speaker 1: to you, and I'm thrilled to be joined as always 61 00:03:50,840 --> 00:03:57,320 Speaker 1: by my co host, Mr Miles Gray. It's just Miles Gray. Headeo. 62 00:03:57,520 --> 00:04:01,600 Speaker 1: Noh wish I could it came with something a little 63 00:04:01,600 --> 00:04:03,720 Speaker 1: bit wittier, but I was I was just blown away 64 00:04:03,720 --> 00:04:07,200 Speaker 1: by that tonic a K. I really liked that song 65 00:04:07,280 --> 00:04:09,040 Speaker 1: when it came out, I remember, but I was one 66 00:04:09,040 --> 00:04:12,040 Speaker 1: of those songs. Never knew the name, never knew the artist, 67 00:04:12,120 --> 00:04:21,320 Speaker 1: but I just knew and yeah, yeah, like it's the 68 00:04:21,400 --> 00:04:25,000 Speaker 1: heartfelt yarling. Yeah, it really really does it. So you 69 00:04:25,080 --> 00:04:26,640 Speaker 1: kind of you kind of that kind of sucked me 70 00:04:26,720 --> 00:04:30,279 Speaker 1: up to be so it was also a love song 71 00:04:30,440 --> 00:04:33,279 Speaker 1: to you that if people could only see the way 72 00:04:33,880 --> 00:04:36,719 Speaker 1: that you can be when you say t D easy 73 00:04:36,839 --> 00:04:40,560 Speaker 1: that it like just breaks my heart somewhere. I kind 74 00:04:40,600 --> 00:04:43,400 Speaker 1: of liked it. It add an emotional arc that added 75 00:04:43,480 --> 00:04:47,080 Speaker 1: new dimensions to our relationship. So and we need that 76 00:04:47,120 --> 00:04:49,840 Speaker 1: to keep things fresh. That's right, Well, Miles, we are 77 00:04:49,920 --> 00:04:54,040 Speaker 1: thrilled to be joined in our third seat by a writer, director, comedian, 78 00:04:54,160 --> 00:04:59,360 Speaker 1: podcaster father who's written comedy, horror comics, and parenting books 79 00:04:59,600 --> 00:05:02,640 Speaker 1: and who host the podcast What Are You Watching with 80 00:05:02,720 --> 00:05:06,120 Speaker 1: Chris Mancini, which is an appropriate title because he is 81 00:05:06,200 --> 00:05:10,479 Speaker 1: Chris Mancini. Hey, great to be here, guys, thanks for 82 00:05:10,560 --> 00:05:13,280 Speaker 1: having me. Than I was thinking of that song and 83 00:05:13,360 --> 00:05:15,960 Speaker 1: a gotta DaVita was like the first one that everyone 84 00:05:16,040 --> 00:05:19,160 Speaker 1: got the name wrong, right right, yeah, Mike, and then 85 00:05:19,240 --> 00:05:22,039 Speaker 1: realize what it doesn't matter, nobody cares enough to correct it. 86 00:05:22,080 --> 00:05:23,880 Speaker 1: So that's just what we're gonna call it from now 87 00:05:23,880 --> 00:05:29,760 Speaker 1: on because it's in the garden of eva Eden that 88 00:05:29,760 --> 00:05:35,560 Speaker 1: it just came out and go, yeah, and I got one. 89 00:05:36,080 --> 00:05:39,559 Speaker 1: Yeah that that also was another one I also thought 90 00:05:39,680 --> 00:05:44,120 Speaker 1: was and I got a DaVita for a long time. Yeah, Well, 91 00:05:44,160 --> 00:05:46,279 Speaker 1: I think I think if you look at the lyrics, 92 00:05:46,480 --> 00:05:49,280 Speaker 1: that's how they have it listed. I might I might 93 00:05:49,320 --> 00:05:54,680 Speaker 1: be wrong the one so like in other news of 94 00:05:54,720 --> 00:05:57,120 Speaker 1: looking up the lyrics to be like this must mean 95 00:05:57,240 --> 00:06:00,360 Speaker 1: something and I just had it wrong or like jumbled 96 00:06:00,400 --> 00:06:03,679 Speaker 1: it into something that part where he's aren't saying oh bosh, 97 00:06:03,800 --> 00:06:07,640 Speaker 1: you won't, it's saying you love but you don't, you 98 00:06:07,720 --> 00:06:10,719 Speaker 1: give your love but you won't wish. That doesn't really 99 00:06:10,720 --> 00:06:13,640 Speaker 1: make sense either, man, Like, if you're gonna put something 100 00:06:14,160 --> 00:06:19,200 Speaker 1: that's like mumbled over, it should have it should repay 101 00:06:19,279 --> 00:06:21,320 Speaker 1: people when they go try and figure out what the 102 00:06:21,320 --> 00:06:23,680 Speaker 1: funk you were saying. Sometimes people just go for the 103 00:06:23,760 --> 00:06:28,360 Speaker 1: rhyme yeah exactly, and won't and don't. I mean, that's 104 00:06:28,520 --> 00:06:31,760 Speaker 1: that's rhyme Smith and Chris, what what's good? Where are 105 00:06:31,839 --> 00:06:34,960 Speaker 1: you coming to us from. I'm coming from Los Angeles, 106 00:06:35,040 --> 00:06:37,320 Speaker 1: and I don't know if for some reason I live 107 00:06:37,320 --> 00:06:39,720 Speaker 1: in a neighborhood that there's always a tree being cut down, 108 00:06:40,040 --> 00:06:43,560 Speaker 1: so you might hear a little bit of buzz sawing periodically. Yeah, 109 00:06:43,640 --> 00:06:46,760 Speaker 1: shout out the arborists. Yeah, I was getting those checks. 110 00:06:48,160 --> 00:06:50,279 Speaker 1: Shout out nurses. I do. I feel like I pushed 111 00:06:50,279 --> 00:06:53,719 Speaker 1: past nurses a little bit, But nurses are truly the 112 00:06:53,760 --> 00:06:57,080 Speaker 1: best and do some of the most thankless difficult work 113 00:06:57,279 --> 00:07:00,000 Speaker 1: in the American work. For that, come on, at the pandemic, 114 00:07:00,000 --> 00:07:03,599 Speaker 1: it's over. They're not heroes, my best. That's not let's 115 00:07:03,600 --> 00:07:06,360 Speaker 1: not let's not sure for a National Nurses Day. They 116 00:07:06,400 --> 00:07:10,400 Speaker 1: just went the day off, right. How about listen when 117 00:07:10,440 --> 00:07:13,320 Speaker 1: we were begging people to stay safe in the pandemic 118 00:07:13,400 --> 00:07:15,600 Speaker 1: so we didn't have to see untold horror in the 119 00:07:15,720 --> 00:07:18,920 Speaker 1: yers for months on end. But yeah, shout out all 120 00:07:18,960 --> 00:07:20,920 Speaker 1: the nurses. Shout all the nurses in my life. You 121 00:07:20,920 --> 00:07:24,600 Speaker 1: know who you are. And arborists, who are the trees? 122 00:07:25,040 --> 00:07:28,040 Speaker 1: I guess in many ways, I didn't realize how important 123 00:07:28,040 --> 00:07:31,440 Speaker 1: tree maintenance was, so I moved somewhere windy, and like 124 00:07:31,560 --> 00:07:34,480 Speaker 1: a dude was like, hey, man, you should really trim 125 00:07:34,520 --> 00:07:36,680 Speaker 1: your tree. Like the wind is it's gonna be like 126 00:07:37,040 --> 00:07:39,720 Speaker 1: it's gonna just suck your ship up. The city came 127 00:07:39,720 --> 00:07:41,440 Speaker 1: by said it was a year and a half waiting 128 00:07:41,520 --> 00:07:43,960 Speaker 1: list to get a tree trimmed, you know, so like 129 00:07:44,880 --> 00:07:47,120 Speaker 1: I think we're gonna need to hire a private contractor 130 00:07:47,120 --> 00:07:49,800 Speaker 1: to do it exactly, Like I don't know if I wait. 131 00:07:51,040 --> 00:07:55,080 Speaker 1: L A has like super tall palm trees that like 132 00:07:55,120 --> 00:07:58,160 Speaker 1: almost seemed like I I don't know. It's weird how 133 00:07:58,200 --> 00:08:00,840 Speaker 1: tawsome of the palm trees are. But then like a 134 00:08:00,920 --> 00:08:03,480 Speaker 1: chik of them will just fall off in the wind. 135 00:08:03,760 --> 00:08:07,680 Speaker 1: We have tall trees and high winds. It's great. Yeah, 136 00:08:08,000 --> 00:08:09,960 Speaker 1: what's because we have like there's a you know, all 137 00:08:10,000 --> 00:08:11,840 Speaker 1: of our palm trees, a lot of them are dying 138 00:08:12,240 --> 00:08:16,640 Speaker 1: because of like a fungus. Oh yeah yeah yeah that's why. 139 00:08:16,640 --> 00:08:18,720 Speaker 1: I like, you see a lot they're just lopped off, 140 00:08:19,000 --> 00:08:21,480 Speaker 1: like lopped off at the top and stuff like these 141 00:08:21,520 --> 00:08:25,080 Speaker 1: like sick dying palm trees. Damn man, Yeah that's the 142 00:08:25,120 --> 00:08:28,560 Speaker 1: whole thing. Shout out to Arborus night gang. This is 143 00:08:28,800 --> 00:08:31,400 Speaker 1: this is your palm tree. Palm tree fungus is a hoax. 144 00:08:31,840 --> 00:08:35,040 Speaker 1: So yeah, that's what I did hear. That's a hoax. 145 00:08:37,559 --> 00:08:43,360 Speaker 1: Is drink your own palm tree oil. Palm oil. You'll 146 00:08:43,400 --> 00:08:45,440 Speaker 1: be good, all right, Chris, We're gonna get to know 147 00:08:45,440 --> 00:08:47,200 Speaker 1: you a little bit better in a moment. First, we're 148 00:08:47,200 --> 00:08:49,480 Speaker 1: gonna tell our listeners a couple of things we're talking about. 149 00:08:49,840 --> 00:08:53,200 Speaker 1: Alec Carrick and sanis added again letting us know about 150 00:08:53,240 --> 00:08:57,079 Speaker 1: a public inquiry happening up in San Francisco that looks 151 00:08:57,120 --> 00:09:01,120 Speaker 1: into how the media division of the San Francisco p 152 00:09:01,280 --> 00:09:04,920 Speaker 1: D shape's public opinion, like just how that process works. 153 00:09:04,920 --> 00:09:08,160 Speaker 1: It usually happens behind closed doors. So we'll talk about that. 154 00:09:08,280 --> 00:09:13,600 Speaker 1: We'll talk about what humanitarian aid means, because that's where 155 00:09:13,600 --> 00:09:16,520 Speaker 1: a lot of the US money, a lot of US 156 00:09:16,559 --> 00:09:21,760 Speaker 1: taxpayer money is going to humanitarian aid. And we will 157 00:09:22,040 --> 00:09:24,880 Speaker 1: define well, yeah, we'll try and define that. We will 158 00:09:24,880 --> 00:09:29,040 Speaker 1: look at a study on that should make you encouraged 159 00:09:29,440 --> 00:09:33,280 Speaker 1: about about the process of building community, talking to strangers, 160 00:09:33,480 --> 00:09:36,400 Speaker 1: all that plenty more. But first, Chris, we do like 161 00:09:36,480 --> 00:09:40,640 Speaker 1: to ask our guest, what is something from your search history. 162 00:09:41,080 --> 00:09:45,360 Speaker 1: Here's a latest item from my search history where was 163 00:09:45,400 --> 00:09:49,880 Speaker 1: the Enterprise during the Dominion War. M hm m hmm. 164 00:09:50,240 --> 00:09:53,080 Speaker 1: I don't know what those words mean, but please tell 165 00:09:53,120 --> 00:09:55,960 Speaker 1: me a big Star Trek fan. I don't know why 166 00:09:55,960 --> 00:09:57,760 Speaker 1: I didn't get to this until later when they had 167 00:09:57,760 --> 00:09:59,920 Speaker 1: Star Trek Deep Space nine. There was a big war, 168 00:10:00,160 --> 00:10:03,640 Speaker 1: but the Enterprise was never mentioned from next generation, so 169 00:10:04,000 --> 00:10:06,319 Speaker 1: I don't know. And uh, and you know what, I 170 00:10:06,400 --> 00:10:09,360 Speaker 1: will say, this didn't get a didn't get a satisfying 171 00:10:09,400 --> 00:10:11,520 Speaker 1: answer from the internet, so I was a little disappointed 172 00:10:11,520 --> 00:10:14,680 Speaker 1: in all the nerds out there. Really the tonic lyrics 173 00:10:14,720 --> 00:10:20,040 Speaker 1: of Star Trek Lord, So wait, is it in in 174 00:10:20,080 --> 00:10:24,160 Speaker 1: the in the chronology of Star Trek DS nine and 175 00:10:24,280 --> 00:10:27,240 Speaker 1: TN are happening at the same time where that like 176 00:10:27,320 --> 00:10:30,080 Speaker 1: you're like, why didn't why didn't Pacard pull up? Like 177 00:10:30,120 --> 00:10:33,720 Speaker 1: that's exactly exactly and what and the and the answer 178 00:10:33,800 --> 00:10:36,520 Speaker 1: is like are just sort of like like the text 179 00:10:36,520 --> 00:10:39,320 Speaker 1: equivalent of like shrugging super vague. It's like, you know 180 00:10:39,320 --> 00:10:41,839 Speaker 1: where the Justice League is when something big happens, Like 181 00:10:41,880 --> 00:10:44,880 Speaker 1: they're on assignment somewhere else. You know. It's r R. Yeah, 182 00:10:44,920 --> 00:10:46,680 Speaker 1: I'm not buying it. They would this is this is 183 00:10:46,960 --> 00:10:49,640 Speaker 1: the a story. They would be here, right they're like, look, 184 00:10:49,679 --> 00:10:51,920 Speaker 1: if you look back at that time, nobody was going 185 00:10:52,000 --> 00:10:54,120 Speaker 1: to take the deal. We wanted to bring them back 186 00:10:54,160 --> 00:10:57,520 Speaker 1: on the show, so like, I don't know where they were. Yeah, 187 00:10:57,720 --> 00:11:01,280 Speaker 1: their agents were a bunch of pricks. Yeah, their agents 188 00:11:01,280 --> 00:11:04,760 Speaker 1: were in a time loop somewhere, right, you know, and 189 00:11:04,840 --> 00:11:10,800 Speaker 1: yet probably preferable when a fictional universe chooses to ignore 190 00:11:11,160 --> 00:11:14,160 Speaker 1: like actual history, well I guess not actual, but like 191 00:11:14,720 --> 00:11:17,480 Speaker 1: chooses to ignore those questions rather than like what the 192 00:11:17,520 --> 00:11:21,000 Speaker 1: Eternals did where they were, Like, let's make it part 193 00:11:21,000 --> 00:11:25,360 Speaker 1: of their story that they were there for the atomic 194 00:11:25,400 --> 00:11:30,440 Speaker 1: bombings of Hiroshima and Nagasaki, like, and then don't actually 195 00:11:30,480 --> 00:11:33,560 Speaker 1: like deal with it in a way that's satisfactory. Yeah, 196 00:11:34,880 --> 00:11:38,520 Speaker 1: a front row ticket? What's that? They had a front 197 00:11:38,600 --> 00:11:40,800 Speaker 1: row seat for that? Yeah. Yeah, And they were just 198 00:11:40,880 --> 00:11:44,160 Speaker 1: like duh man, all right, should we get out of here? Yeah? 199 00:11:44,160 --> 00:11:47,839 Speaker 1: We were told not to interfere until now, until our 200 00:11:47,880 --> 00:11:51,640 Speaker 1: moving and then well now right right? What is something 201 00:11:51,679 --> 00:11:56,600 Speaker 1: you think is overrated? I am a big HBO fan 202 00:11:56,640 --> 00:11:57,840 Speaker 1: on like a lot of the shows on there. I 203 00:11:57,880 --> 00:12:01,760 Speaker 1: thought White Lotus was overrated on that show. That was 204 00:12:01,800 --> 00:12:04,280 Speaker 1: the show about kind of like this resort, but it 205 00:12:04,320 --> 00:12:07,200 Speaker 1: was all about like a lot of like white privileged stuff, 206 00:12:07,240 --> 00:12:09,280 Speaker 1: and but it was one of those things where I 207 00:12:09,320 --> 00:12:11,520 Speaker 1: get it. I don't think I need a whole season 208 00:12:12,040 --> 00:12:15,920 Speaker 1: for this, and then random shock images of like a 209 00:12:15,960 --> 00:12:18,360 Speaker 1: guy's junk then that would also come up. I think 210 00:12:18,400 --> 00:12:21,200 Speaker 1: that's like HBO's thing to kind of de stigmatize male nudity, 211 00:12:22,080 --> 00:12:23,840 Speaker 1: which I'm kind of against. I think we should still 212 00:12:23,840 --> 00:12:29,600 Speaker 1: stigmatize male nudity so revolting, but are revolting genitals out 213 00:12:29,640 --> 00:12:33,080 Speaker 1: of you? Just But yeah, it was because that was 214 00:12:33,080 --> 00:12:34,840 Speaker 1: one of those things where the Internet a lot of 215 00:12:34,840 --> 00:12:36,800 Speaker 1: my friends said, oh, you gotta love this show. It's great. 216 00:12:36,840 --> 00:12:39,520 Speaker 1: I'm like, yeah, yeah, I like satire or like humor, 217 00:12:39,600 --> 00:12:42,280 Speaker 1: I like edgy stuff. And I was like, yeah, it 218 00:12:42,800 --> 00:12:46,839 Speaker 1: just didn't didn't resonate for me, didn't connect mm hmm. Yeah, 219 00:12:46,920 --> 00:12:49,600 Speaker 1: I I I really enjoyed it. I liked it. At 220 00:12:49,640 --> 00:12:53,120 Speaker 1: the ending sort of left me wanting a little bit more. 221 00:12:53,600 --> 00:12:56,200 Speaker 1: But the journey there, I had a at a very 222 00:12:56,360 --> 00:13:01,400 Speaker 1: at a fun time. Yeah really think. Yeah, Jennifer Coolidge, 223 00:13:01,440 --> 00:13:03,880 Speaker 1: did it? Did it like pick up? Like? Because I 224 00:13:03,960 --> 00:13:05,599 Speaker 1: watched the first couple of episodes and I felt like 225 00:13:05,640 --> 00:13:08,040 Speaker 1: it wasn't going anywhere like that, it doesn't pick up 226 00:13:08,080 --> 00:13:11,120 Speaker 1: like half what episode did you stop watching? Probably about three? 227 00:13:11,920 --> 00:13:16,040 Speaker 1: Oh yeah, I mean it's it. It starts picking up pace, 228 00:13:16,160 --> 00:13:18,360 Speaker 1: like to the point where I remember every week, like 229 00:13:18,440 --> 00:13:20,960 Speaker 1: everyone working on the show, we're like, okay, so what 230 00:13:21,040 --> 00:13:25,760 Speaker 1: the fun? But I get you know, like it you know, 231 00:13:25,880 --> 00:13:29,040 Speaker 1: not everything isn't for everybody. So if it didn't catch, 232 00:13:29,080 --> 00:13:30,960 Speaker 1: you didn't catch the same way. I was like, there's 233 00:13:31,000 --> 00:13:32,720 Speaker 1: a ton of shows that everyone's like, you gotta watch 234 00:13:32,760 --> 00:13:34,480 Speaker 1: the show. Like I couldn't get past the first four 235 00:13:34,520 --> 00:13:36,959 Speaker 1: episodes just for me personally, I mean, where was the 236 00:13:37,040 --> 00:13:39,480 Speaker 1: enterprise during White Lotus? I mean that's what I kind 237 00:13:39,480 --> 00:13:41,760 Speaker 1: of went I too, right, I also want to know 238 00:13:41,840 --> 00:13:46,079 Speaker 1: the story. But behind some Natasha Rothwell is played one 239 00:13:46,080 --> 00:13:50,199 Speaker 1: of the better characters on White Lotus, like a masseuse 240 00:13:50,720 --> 00:13:55,000 Speaker 1: who is dealing with the bullshit of a very privileged 241 00:13:55,640 --> 00:14:00,240 Speaker 1: Jennifer Coolidge and is yeah, she's just a great arcter. 242 00:14:00,440 --> 00:14:06,400 Speaker 1: And then in Sonic Too, she gets married at what 243 00:14:06,480 --> 00:14:10,080 Speaker 1: I think is the same resort as White Lotus, And 244 00:14:10,120 --> 00:14:13,720 Speaker 1: I'm just wondering, like, did did the makers of Sonic 245 00:14:13,840 --> 00:14:17,199 Speaker 1: Too like Sea White Lotus and they were like Okay, 246 00:14:17,400 --> 00:14:20,520 Speaker 1: like that's we gotta do that, because it really is 247 00:14:20,560 --> 00:14:25,160 Speaker 1: a very strange decision on their part to have visually 248 00:14:25,200 --> 00:14:28,560 Speaker 1: to see Natasha Rothwell in that location. Yeah, it was 249 00:14:28,640 --> 00:14:31,560 Speaker 1: like they just did they have a deal, like where 250 00:14:32,200 --> 00:14:34,120 Speaker 1: are is it the same production company? And they had 251 00:14:34,160 --> 00:14:37,560 Speaker 1: a deal with like you know, two for ones because 252 00:14:38,600 --> 00:14:41,840 Speaker 1: it's uh yeah, like when you're watching the movie, you're like, 253 00:14:41,840 --> 00:14:44,680 Speaker 1: why why is so much of this movie Sonic to 254 00:14:44,960 --> 00:14:53,240 Speaker 1: a wedding? They're setting up the White Lotus Sonic Cinematic Universe. Yeah, yeah, 255 00:14:53,240 --> 00:14:55,280 Speaker 1: when that new season A White Lotus is coming out, 256 00:14:55,280 --> 00:15:01,320 Speaker 1: so maybe we can expect to see Robotanic Now I'm 257 00:15:01,320 --> 00:15:03,360 Speaker 1: getting on board. Now yeah, now I'm going to give 258 00:15:03,360 --> 00:15:05,680 Speaker 1: it a chance. You had to be patient, man, you 259 00:15:05,720 --> 00:15:09,640 Speaker 1: had to be patient. What Sonics roll in all of this? 260 00:15:09,960 --> 00:15:12,720 Speaker 1: Where does tails come in? And like is Sonic like 261 00:15:12,800 --> 00:15:14,880 Speaker 1: in it? Like is the next one? Sonics just like 262 00:15:14,920 --> 00:15:17,440 Speaker 1: plays like a like a boomer or like gen X 263 00:15:17,520 --> 00:15:20,040 Speaker 1: type character. He's like out of touch and like, oh, 264 00:15:20,560 --> 00:15:26,240 Speaker 1: like what's going on? Learned a lesson from Knuckles? Yeah, yeah, 265 00:15:26,440 --> 00:15:31,160 Speaker 1: exact knuckles. Knuckles is uh not Knuckles is around in 266 00:15:31,280 --> 00:15:34,280 Speaker 1: Sonic too, and I don't know I don't think they 267 00:15:34,280 --> 00:15:38,400 Speaker 1: did Knuckles justice with this depiction. I'll just leave it there. 268 00:15:38,640 --> 00:15:40,760 Speaker 1: I don't want to get too controversial, That's what. That's 269 00:15:40,760 --> 00:15:42,680 Speaker 1: all I'm gonna say. What did they at least keep 270 00:15:42,720 --> 00:15:46,640 Speaker 1: him as in a kidnap? Yeah, I think they did 271 00:15:47,440 --> 00:15:50,400 Speaker 1: as best I could tell. We showed up late, but 272 00:15:50,720 --> 00:15:54,440 Speaker 1: I'm pretty sure Jack, you weren't watching Sonic that head. 273 00:15:56,080 --> 00:15:58,880 Speaker 1: That was a lot of weird stuff. And yeah, the 274 00:15:58,920 --> 00:16:02,440 Speaker 1: sex scene on the wedding night was just, I don't know, 275 00:16:02,640 --> 00:16:07,400 Speaker 1: unexpectedly graphic. What something you think is underrated? Two things actually, 276 00:16:07,440 --> 00:16:10,400 Speaker 1: one of it was the Expanse. I really love that show. 277 00:16:10,440 --> 00:16:11,880 Speaker 1: And that was a show that I kind of got 278 00:16:11,920 --> 00:16:14,240 Speaker 1: to a little later, like a hard science fiction. It 279 00:16:14,280 --> 00:16:16,840 Speaker 1: was on the Sci Fi Channel, then Amazon picked it up, 280 00:16:16,920 --> 00:16:19,760 Speaker 1: and it was kind of like a good way to 281 00:16:19,840 --> 00:16:21,520 Speaker 1: kind of like look at, like, well, where can science 282 00:16:21,560 --> 00:16:23,400 Speaker 1: fiction go from now? Like we have Star Trek, we 283 00:16:23,440 --> 00:16:26,240 Speaker 1: have all these other shows. But I what I liked 284 00:16:26,240 --> 00:16:28,280 Speaker 1: about it is it kind of showed like what would 285 00:16:28,480 --> 00:16:31,840 Speaker 1: near future spaceships really look like, and how would they work? 286 00:16:31,880 --> 00:16:34,120 Speaker 1: And would they have gravity? And why would the sound 287 00:16:34,160 --> 00:16:37,040 Speaker 1: designer have to put in the sound of every single 288 00:16:37,080 --> 00:16:40,000 Speaker 1: boot clacking because it was magnetic onto every ship. So 289 00:16:40,080 --> 00:16:42,360 Speaker 1: I thought it was it was a good show. So 290 00:16:42,400 --> 00:16:45,320 Speaker 1: did you guys see the expanse? But this is a 291 00:16:45,440 --> 00:16:47,520 Speaker 1: take we hear a lot so many people like it 292 00:16:47,600 --> 00:16:50,200 Speaker 1: was it's like the most slept on sci fi show. 293 00:16:50,320 --> 00:16:52,640 Speaker 1: That's like the best show that I've ever seen. Is 294 00:16:52,760 --> 00:16:55,520 Speaker 1: something I've heard pretty for sure. Yeah, it's really well 295 00:16:55,600 --> 00:16:58,520 Speaker 1: thought out. And one of the problems with it is 296 00:16:58,600 --> 00:17:01,240 Speaker 1: like you could tell it was like Sci Fi Channel budget, 297 00:17:01,360 --> 00:17:04,720 Speaker 1: so the effects not everything is up to par with 298 00:17:04,880 --> 00:17:08,040 Speaker 1: you know, recent shows. But you could kind of overlook 299 00:17:08,119 --> 00:17:11,320 Speaker 1: those flaws because the storytelling is uh and just the 300 00:17:11,359 --> 00:17:16,160 Speaker 1: world building is really good. The enemy spaceships are actually 301 00:17:16,600 --> 00:17:24,560 Speaker 1: like PI tens on strength, like Plan nine stuff. Yeah, 302 00:17:24,600 --> 00:17:27,360 Speaker 1: and the other thing I think is really underrated is science. 303 00:17:27,920 --> 00:17:31,200 Speaker 1: I think I think people should be more into it. 304 00:17:31,200 --> 00:17:34,080 Speaker 1: It's really helpful. It should get a lot more credit 305 00:17:34,160 --> 00:17:36,920 Speaker 1: just science in general. Where do you see where do 306 00:17:36,960 --> 00:17:41,080 Speaker 1: you see people not people undervaluing it too much everywhere. 307 00:17:41,280 --> 00:17:46,600 Speaker 1: So for the most part, everything from you know, obviously 308 00:17:46,680 --> 00:17:52,480 Speaker 1: medical science and things about infectious diseases, but also like 309 00:17:53,080 --> 00:17:56,159 Speaker 1: I really feel like there's a lot more technology and 310 00:17:56,280 --> 00:18:00,520 Speaker 1: development we can be doing everything from like entered too, 311 00:18:01,080 --> 00:18:03,880 Speaker 1: you know, more efficient travel to all of these things. 312 00:18:03,880 --> 00:18:06,600 Speaker 1: And I think that there's a lot less credit that's 313 00:18:06,640 --> 00:18:09,320 Speaker 1: being given to like and these innovations that should should 314 00:18:09,359 --> 00:18:11,720 Speaker 1: be happening a lot quicker that should be being subsidized 315 00:18:11,760 --> 00:18:15,399 Speaker 1: to make everyone's journey a little bit easier. Mm hmmah. 316 00:18:16,280 --> 00:18:19,360 Speaker 1: I have a six year old and a four year 317 00:18:19,400 --> 00:18:24,880 Speaker 1: old Chris and the like there. I've like been reintroduced 318 00:18:24,920 --> 00:18:27,760 Speaker 1: to how cool science is, just like through the things 319 00:18:27,840 --> 00:18:31,520 Speaker 1: that they're interested in, like seeing them encounter like see 320 00:18:31,720 --> 00:18:35,000 Speaker 1: life for the first time and a man like what 321 00:18:35,080 --> 00:18:38,720 Speaker 1: Amanda shrimp can do, and uh, you know, just watching 322 00:18:38,760 --> 00:18:42,680 Speaker 1: like underwater documentaries that was also like I was obsessed 323 00:18:42,720 --> 00:18:46,760 Speaker 1: with Jaws because it was a shark that eight people 324 00:18:47,040 --> 00:18:49,800 Speaker 1: and I was a weird kid, but like like that, 325 00:18:49,920 --> 00:18:52,000 Speaker 1: you know, sharks were one of the first things I 326 00:18:52,080 --> 00:18:55,080 Speaker 1: was obsessed with. I think a lot of people like 327 00:18:55,240 --> 00:18:58,600 Speaker 1: hit the world just amazed and like super interested in 328 00:18:58,640 --> 00:19:00,960 Speaker 1: science and then we like have a ground out of us, 329 00:19:01,000 --> 00:19:04,440 Speaker 1: I guess, but just the on rush of like other 330 00:19:04,720 --> 00:19:07,360 Speaker 1: more practical things or even like yeah, like you're saying 331 00:19:07,400 --> 00:19:10,480 Speaker 1: your kids like like big trucks and like machinery and 332 00:19:10,520 --> 00:19:14,879 Speaker 1: trucks stuff. Yeah, and you're like, dad, how is it 333 00:19:14,920 --> 00:19:17,640 Speaker 1: able to lift that? You're like, I can't explain noumatic 334 00:19:17,800 --> 00:19:21,359 Speaker 1: pistons and I don't know, man, it's a machine. But 335 00:19:21,760 --> 00:19:23,840 Speaker 1: I get that, like, yeah, are as kids that we 336 00:19:23,920 --> 00:19:26,640 Speaker 1: want we have so many questions and like yeah, when 337 00:19:26,640 --> 00:19:29,160 Speaker 1: it brushes up against you know, like science. As a kid, 338 00:19:29,200 --> 00:19:31,960 Speaker 1: I remember going like this science museum for kids and 339 00:19:32,000 --> 00:19:35,040 Speaker 1: that was like my favorite place to go because it 340 00:19:35,119 --> 00:19:38,440 Speaker 1: was like a physical space where I saw like cause 341 00:19:38,480 --> 00:19:42,080 Speaker 1: and effect or began to understood how things like worked. 342 00:19:42,920 --> 00:19:45,679 Speaker 1: You have that curiosity as a kid, and you know, 343 00:19:45,720 --> 00:19:48,159 Speaker 1: I think as adults, if we could recapture some of that, 344 00:19:48,359 --> 00:19:50,879 Speaker 1: especially in the you know, scientific fields, and even just 345 00:19:50,920 --> 00:19:55,040 Speaker 1: to support those those endeavors. It's you know, the the 346 00:19:55,080 --> 00:19:57,640 Speaker 1: scientists of today or the teachers of tomorrow and these 347 00:19:57,720 --> 00:19:59,920 Speaker 1: kids coming up that are curious, you know, they could 348 00:20:00,119 --> 00:20:02,719 Speaker 1: you know, make these innovations and make things better, but 349 00:20:03,200 --> 00:20:05,000 Speaker 1: you know it has to be encouraged. I feel like, 350 00:20:05,040 --> 00:20:07,960 Speaker 1: you know, science has gotten demonized lately with like well no, 351 00:20:08,160 --> 00:20:10,600 Speaker 1: that's that's junk, and just listen to us, not not 352 00:20:10,720 --> 00:20:14,680 Speaker 1: the scientists, Like m that's a bad road to go down, right. 353 00:20:15,200 --> 00:20:17,199 Speaker 1: It's it's well too, because I think so many of 354 00:20:17,480 --> 00:20:20,440 Speaker 1: like as you become an adult, we're just less wowed 355 00:20:20,600 --> 00:20:24,600 Speaker 1: by the things that technology or science and research has 356 00:20:24,720 --> 00:20:27,000 Speaker 1: afforded us. And we're like, oh, yeah cool, Like now 357 00:20:27,040 --> 00:20:30,080 Speaker 1: my phone knows where I'm at right, and like, yeah cool, 358 00:20:30,160 --> 00:20:32,680 Speaker 1: Now my camera is like even smaller than this pinhole, 359 00:20:32,720 --> 00:20:35,520 Speaker 1: and you're like, yeah, Without like NASA investment, we don't 360 00:20:35,520 --> 00:20:39,040 Speaker 1: get half of those things. So that's like a little 361 00:20:39,080 --> 00:20:42,720 Speaker 1: bit of consumer trickle down from you know, investing in science. 362 00:20:42,960 --> 00:20:45,400 Speaker 1: I mean even like military spending. It's it's you don't 363 00:20:45,400 --> 00:20:47,600 Speaker 1: even realize that like some of the stuff, like literally 364 00:20:47,640 --> 00:20:51,360 Speaker 1: like stereo came from like you know, military development. Like 365 00:20:51,359 --> 00:20:54,000 Speaker 1: like there's a lot of innovations that trickled down from 366 00:20:54,160 --> 00:20:57,280 Speaker 1: the most least expected places, but then we use them 367 00:20:57,280 --> 00:21:00,800 Speaker 1: as consumers. Imagine what we could accomplish if like all 368 00:21:00,880 --> 00:21:03,280 Speaker 1: those billions of billions of dollars we're gonna talk about 369 00:21:03,280 --> 00:21:06,680 Speaker 1: the budget that like is allocated to military spending, but 370 00:21:06,800 --> 00:21:11,720 Speaker 1: imagine if like instead of like just happening to glance 371 00:21:11,760 --> 00:21:15,959 Speaker 1: against like stereo by accident like that, we were just like, hey, 372 00:21:16,119 --> 00:21:17,960 Speaker 1: what if we spend all this money and tried to 373 00:21:18,000 --> 00:21:20,560 Speaker 1: like make cool ship instead of just like the most 374 00:21:20,600 --> 00:21:24,240 Speaker 1: efficient way to kill a city full of people. Notice, 375 00:21:24,520 --> 00:21:26,080 Speaker 1: we came up with stereo because we wanted to be 376 00:21:26,160 --> 00:21:30,800 Speaker 1: able to hear the explosions around town, right, Yeah, but yeah, 377 00:21:30,800 --> 00:21:33,200 Speaker 1: I guess we could maybe have a different mission, which 378 00:21:33,200 --> 00:21:35,480 Speaker 1: would be like, how do we you know, how do 379 00:21:35,560 --> 00:21:38,639 Speaker 1: we really conserve water in the most efficient way and 380 00:21:38,720 --> 00:21:41,480 Speaker 1: be able to desalinate it, de salonize it and maybe 381 00:21:41,520 --> 00:21:44,280 Speaker 1: get it other places? I don't know, Or we can Hey, 382 00:21:44,320 --> 00:21:48,480 Speaker 1: this drone I made can blow up a fucking warship. Though. Yeah, 383 00:21:48,480 --> 00:21:51,560 Speaker 1: we're we're headed towards either Warhammer for d K or 384 00:21:51,680 --> 00:21:54,720 Speaker 1: Horizon zero don one of those. We're we're going in 385 00:21:54,720 --> 00:21:58,080 Speaker 1: that direction, Jack, I know the big gamer. You knew 386 00:21:58,080 --> 00:22:00,879 Speaker 1: exactly where we were at with that one. Yeah, I 387 00:22:00,960 --> 00:22:03,520 Speaker 1: just I'm keeping my mouth shut because I disagree. I 388 00:22:03,560 --> 00:22:06,520 Speaker 1: think we're headed to a different specific video game reference 389 00:22:06,600 --> 00:22:08,240 Speaker 1: that I'm not gonna make right now because I don't 390 00:22:08,359 --> 00:22:10,440 Speaker 1: start the whole thing. And you wanted to, Yeah, you 391 00:22:10,600 --> 00:22:12,200 Speaker 1: don't want to. You want to help hold back your 392 00:22:12,359 --> 00:22:19,160 Speaker 1: alloy hot takes exactly exactly, But yeah, great underrated totally agree. Also, 393 00:22:19,240 --> 00:22:24,520 Speaker 1: like the desalination plants on aircraft carriers are like crazy. 394 00:22:24,800 --> 00:22:30,720 Speaker 1: It's it's funny that that's well, I just read about 395 00:22:30,760 --> 00:22:32,919 Speaker 1: that because my kids are obsessed with, like, you know, 396 00:22:33,000 --> 00:22:36,920 Speaker 1: aircraft carriers and ship It's like they produce like cities 397 00:22:37,000 --> 00:22:42,000 Speaker 1: worth of water out of seawater just out there every day. Yeah, 398 00:22:42,400 --> 00:22:47,080 Speaker 1: but I gotta keep those floating. Yeah, but I don't 399 00:22:47,080 --> 00:22:49,240 Speaker 1: know if the real news around the Navy is like 400 00:22:49,280 --> 00:22:51,719 Speaker 1: there there's real problems happening on a lot of these 401 00:22:51,720 --> 00:22:56,280 Speaker 1: ships at the moment. Checking in with your defense news 402 00:22:56,320 --> 00:22:59,200 Speaker 1: at the moment. Yeah, alright, let's take a quick break. 403 00:22:59,280 --> 00:23:15,040 Speaker 1: We'll be right and we're back. And another thread from 404 00:23:15,040 --> 00:23:19,359 Speaker 1: Alec Carrick at SANTIS that I found instructive and providing 405 00:23:19,400 --> 00:23:23,800 Speaker 1: information that I think is criminally like under reported. So 406 00:23:24,240 --> 00:23:27,960 Speaker 1: there's an inquiry happening in San Francisco into how the 407 00:23:28,000 --> 00:23:31,960 Speaker 1: media divisions of these police forces operate. They found out 408 00:23:32,000 --> 00:23:36,080 Speaker 1: the director of this propaganda unit costs two and eighty 409 00:23:36,160 --> 00:23:39,080 Speaker 1: nine thousand dollars of taxpayer dollars a year. That's what 410 00:23:39,119 --> 00:23:43,960 Speaker 1: they're making. That's what they's for one person. That's right. 411 00:23:44,400 --> 00:23:47,600 Speaker 1: They have a full time videographer who costs taxpayers a 412 00:23:47,640 --> 00:23:51,520 Speaker 1: hundred and twenty thousand dollars, and cops have been using 413 00:23:51,640 --> 00:23:55,399 Speaker 1: videographers to try to combat like the bad press that 414 00:23:55,480 --> 00:24:00,080 Speaker 1: comes from people just holding up cameras and showing what 415 00:24:00,160 --> 00:24:04,760 Speaker 1: they actually do in to their communities. Like they they're like, well, 416 00:24:05,119 --> 00:24:10,720 Speaker 1: what if instead of those videos, you were watching this video? 417 00:24:10,920 --> 00:24:14,720 Speaker 1: For instance, Alec linked off to this l A. Sheriff's 418 00:24:14,760 --> 00:24:18,360 Speaker 1: Department video that I don't know, Miles, did you were 419 00:24:18,359 --> 00:24:22,120 Speaker 1: you able to watch this shot? Watching together? Let's let's 420 00:24:22,160 --> 00:24:26,240 Speaker 1: let's experience this. Uh, there's no words, so we'll just 421 00:24:26,320 --> 00:24:30,560 Speaker 1: kind of describe what's happening. There's no words. But also, uh, 422 00:24:30,680 --> 00:24:32,719 Speaker 1: I think Chris will really enjoy this as someone who 423 00:24:32,800 --> 00:24:36,200 Speaker 1: likes sci fi. Yeah, and presumably the l A. Sheriff's 424 00:24:36,200 --> 00:24:38,040 Speaker 1: Department you got, you must love that. It says a 425 00:24:38,080 --> 00:24:41,040 Speaker 1: short time ago and a hanger not so far away. Okay, 426 00:24:41,080 --> 00:24:47,199 Speaker 1: we see a police fucking chopper and into frame and 427 00:24:48,480 --> 00:24:55,720 Speaker 1: police helicopter and then uh like cross wipe Lucas style 428 00:24:55,880 --> 00:24:59,760 Speaker 1: to the helicopter taking off, wishing everyone a happy star 429 00:25:00,119 --> 00:25:02,600 Speaker 1: 's Day and may the Fourth be with you, May 430 00:25:02,720 --> 00:25:06,360 Speaker 1: the Fourth be with you unless County triffs unless you're 431 00:25:06,400 --> 00:25:10,400 Speaker 1: loitering on a Caruso owned shopping property, in which case 432 00:25:10,440 --> 00:25:13,719 Speaker 1: we will bludgend you until you leave. Now, is this 433 00:25:13,800 --> 00:25:16,359 Speaker 1: separate from what you guys like from like helmet cams 434 00:25:16,359 --> 00:25:19,439 Speaker 1: and body cams? Yeah, like no, yeah, Like they have 435 00:25:19,520 --> 00:25:21,480 Speaker 1: a they have like a position where it's like, where's 436 00:25:21,480 --> 00:25:27,280 Speaker 1: our video guy to like shoot our videos because like yes, yes, yeah, 437 00:25:27,800 --> 00:25:31,159 Speaker 1: it's a It is a propaganda wing. That's like effectively 438 00:25:31,200 --> 00:25:35,160 Speaker 1: what it is. And they spend a lot of money 439 00:25:35,240 --> 00:25:38,040 Speaker 1: like both reaching out to the media. I I don't 440 00:25:38,040 --> 00:25:40,520 Speaker 1: know what that creating videos like that where I'm not 441 00:25:40,520 --> 00:25:43,040 Speaker 1: sure what the implication was. I know bb A like 442 00:25:43,680 --> 00:25:47,160 Speaker 1: shot electricity at various things and sometimes like fixed them 443 00:25:47,400 --> 00:25:53,520 Speaker 1: maybe in the sequels, But how it relates to the 444 00:25:53,520 --> 00:25:59,000 Speaker 1: police and their choppers that use way too much fuel? Yeah, anyways, 445 00:25:59,119 --> 00:26:02,240 Speaker 1: the this is the like sheriff's apartment that's riddled with 446 00:26:02,280 --> 00:26:06,680 Speaker 1: the history of you know, white supremacist gangs, extra judicial murder. 447 00:26:07,000 --> 00:26:10,280 Speaker 1: I didn't know all the details of the um, Like 448 00:26:10,320 --> 00:26:13,159 Speaker 1: I knew that they had leaked the photos of Kobe 449 00:26:13,240 --> 00:26:16,520 Speaker 1: and his daughter's dead bodies and then that Vanessa Bryant 450 00:26:16,600 --> 00:26:19,560 Speaker 1: was suing them I did not know that they had 451 00:26:19,760 --> 00:26:24,280 Speaker 1: subpoenaed her like therapy records and got them released to 452 00:26:24,320 --> 00:26:28,240 Speaker 1: the court, which is like fucking terrifying just for anyone 453 00:26:28,280 --> 00:26:31,040 Speaker 1: in therapy. The idea that the police can be like, well, 454 00:26:31,080 --> 00:26:33,760 Speaker 1: we need to show evidence that you were fucked up, 455 00:26:33,880 --> 00:26:37,119 Speaker 1: so we're gonna like do this to discredit you. Like 456 00:26:37,160 --> 00:26:40,119 Speaker 1: that's like mad Men. That's that that's like some ship 457 00:26:40,119 --> 00:26:43,520 Speaker 1: from mad Men, because they're like patient doctor confidentiality, like 458 00:26:43,640 --> 00:26:48,880 Speaker 1: nah na not wanna sell a sheriff's department and yeah, 459 00:26:48,960 --> 00:26:52,639 Speaker 1: so in that video. But by creative, by having this division, 460 00:26:53,280 --> 00:26:55,840 Speaker 1: they are able to pump out videos where they're the 461 00:26:55,920 --> 00:26:59,160 Speaker 1: good guys. I thought the most important revelation is that 462 00:26:59,240 --> 00:27:03,800 Speaker 1: this unit and San Francisco and presumably many other units 463 00:27:03,840 --> 00:27:08,560 Speaker 1: like San Francisco, is not the most well funded propaganda operation. 464 00:27:08,640 --> 00:27:12,760 Speaker 1: They're just the one that got taken to a community 465 00:27:12,800 --> 00:27:16,359 Speaker 1: hearing where this stuff was revealed. But they have what 466 00:27:16,640 --> 00:27:21,000 Speaker 1: when like the police murder someone, a sergeant has ordered 467 00:27:21,040 --> 00:27:24,359 Speaker 1: all members of the media relations team their propaganda unit 468 00:27:24,560 --> 00:27:28,960 Speaker 1: should closely monitor social media for post video, etcetera related 469 00:27:29,000 --> 00:27:34,399 Speaker 1: to the killing, and so like there going to go 470 00:27:34,520 --> 00:27:38,879 Speaker 1: after people who post videos try and get videos taken down. 471 00:27:39,440 --> 00:27:42,879 Speaker 1: And also just you know they have they're fighting it. 472 00:27:43,080 --> 00:27:47,720 Speaker 1: Like at the very beginning of any sort of public outcry, 473 00:27:48,160 --> 00:27:52,040 Speaker 1: you have a covert propaganda unit that is out there 474 00:27:52,640 --> 00:27:56,960 Speaker 1: trying to sway public opinion or get people to ignore ship. 475 00:27:58,240 --> 00:28:00,119 Speaker 1: But not to be clear, BB it won't be in 476 00:28:00,119 --> 00:28:05,240 Speaker 1: every video that like, that's that's why you gotta follow 477 00:28:05,280 --> 00:28:09,680 Speaker 1: the Sheriff's Twitter account, fan you might get more BB 478 00:28:09,800 --> 00:28:13,000 Speaker 1: eight clips. They got eighty likes on that one, So 479 00:28:13,880 --> 00:28:15,960 Speaker 1: I mean that video, I mean, granted it's not the 480 00:28:16,000 --> 00:28:19,359 Speaker 1: San Francisco p D, so clearly their budgets must be 481 00:28:19,440 --> 00:28:22,639 Speaker 1: lower for their videographer, but like that had big. My 482 00:28:23,400 --> 00:28:26,040 Speaker 1: uncle just got an iPhone. They got that one droid 483 00:28:26,080 --> 00:28:27,960 Speaker 1: with the legs at the bottom, and then that's it. 484 00:28:28,080 --> 00:28:31,320 Speaker 1: That's yeah exactly. And like because when you show me 485 00:28:31,320 --> 00:28:33,480 Speaker 1: that video, I'm like, wait, I have the app that 486 00:28:33,560 --> 00:28:37,520 Speaker 1: makes those video clips. Like it's called like movie Action 487 00:28:37,600 --> 00:28:40,880 Speaker 1: Movie Cam or something, and it just Overlaysy's like just 488 00:28:41,120 --> 00:28:44,560 Speaker 1: you know, ridiculous little graphics things over whatever video you shoot. 489 00:28:44,600 --> 00:28:47,880 Speaker 1: But the fact that then, like the Sheriff's Department is like, 490 00:28:48,160 --> 00:28:50,960 Speaker 1: then that's how we're gonna curry favor and create common 491 00:28:51,000 --> 00:28:53,840 Speaker 1: ground with the people we oppressed. So when you post 492 00:28:53,840 --> 00:28:56,520 Speaker 1: footage or an opinion about the police murdering someone in 493 00:28:56,560 --> 00:29:00,760 Speaker 1: your community, you are taking on a propaganda that is 494 00:29:00,800 --> 00:29:05,600 Speaker 1: well funded and that has shown that they will go 495 00:29:05,680 --> 00:29:10,280 Speaker 1: after the therapy records of right the grieving widow of 496 00:29:10,320 --> 00:29:14,200 Speaker 1: a national hero and local god like that and got 497 00:29:14,240 --> 00:29:17,200 Speaker 1: away with it. So don't it's it's never. It's never. 498 00:29:17,240 --> 00:29:20,080 Speaker 1: The issue is what happened that's bad? We need to 499 00:29:20,080 --> 00:29:22,960 Speaker 1: sort that out. It's always who the funk told you that? 500 00:29:23,600 --> 00:29:25,320 Speaker 1: How did you hear that? How do you how do 501 00:29:25,400 --> 00:29:31,120 Speaker 1: you find to approach to issues? Same thing with Villanueva, 502 00:29:31,160 --> 00:29:32,720 Speaker 1: and like, you know, John Oliver even touched on it 503 00:29:32,760 --> 00:29:35,280 Speaker 1: on his show last week with of just how this 504 00:29:35,320 --> 00:29:38,120 Speaker 1: guy there was a clip of this person who is 505 00:29:38,160 --> 00:29:42,520 Speaker 1: being detained was getting knelt on, and he like Villaneueva. 506 00:29:42,720 --> 00:29:45,560 Speaker 1: His response was, well, I think there's a conspiracy. How 507 00:29:45,600 --> 00:29:47,880 Speaker 1: did that thing get leaked? I had never and also 508 00:29:47,920 --> 00:29:51,360 Speaker 1: I had never seen oh yeah, yeah. He was like, 509 00:29:51,520 --> 00:29:53,800 Speaker 1: you put up a poster board of like a couple 510 00:29:53,800 --> 00:29:56,720 Speaker 1: of people, including like an l a Times reporter who 511 00:29:56,720 --> 00:29:58,200 Speaker 1: he was like, He's like, and this is like this 512 00:29:58,240 --> 00:30:01,040 Speaker 1: could be the network of deception that allowed this clip 513 00:30:01,280 --> 00:30:06,800 Speaker 1: of what happened to emerge. That's the Yeah, so it's 514 00:30:06,800 --> 00:30:09,080 Speaker 1: always the who the funk told you that? Whenever that 515 00:30:09,120 --> 00:30:10,640 Speaker 1: and then he didn't come out and say that there 516 00:30:10,640 --> 00:30:14,560 Speaker 1: were not going to be any charges filed against that reporter, right, yeah, 517 00:30:14,720 --> 00:30:18,320 Speaker 1: but like still because again you're like this this doesn't 518 00:30:18,400 --> 00:30:23,200 Speaker 1: look good. Yeah, times they have an entire barrel full 519 00:30:23,360 --> 00:30:27,200 Speaker 1: of lawyers just ready and waiting to go. So that's 520 00:30:27,400 --> 00:30:29,920 Speaker 1: there's certain places you don't want to mess with, right, 521 00:30:29,960 --> 00:30:32,440 Speaker 1: And also like they can't mess up their relationship that 522 00:30:32,920 --> 00:30:34,720 Speaker 1: times and the L a p D usually playing nice 523 00:30:34,840 --> 00:30:37,680 Speaker 1: together like carry water for them. Like I feel like 524 00:30:37,800 --> 00:30:39,560 Speaker 1: at some point I was like, Okay, I can't burn 525 00:30:39,600 --> 00:30:42,600 Speaker 1: the spot because yeah, we need you guys to say 526 00:30:42,600 --> 00:30:46,120 Speaker 1: that people were attacked when they were protesting being over 527 00:30:46,240 --> 00:30:51,880 Speaker 1: relationships dress testing, right, right, all right, let's talk humanitarian 528 00:30:51,960 --> 00:30:55,320 Speaker 1: aid to Ukraine, which you know, we we came up 529 00:30:55,360 --> 00:31:01,000 Speaker 1: recently because we were mentioning how Biden gave his statement 530 00:31:01,320 --> 00:31:05,280 Speaker 1: about how how teed off he was about the row 531 00:31:05,920 --> 00:31:11,560 Speaker 1: being overturned while walking into a Lockheed Martin factory to 532 00:31:11,720 --> 00:31:17,720 Speaker 1: check out the aiding Ukraine. But but yeah, let's talk 533 00:31:17,720 --> 00:31:21,800 Speaker 1: about it. I mean, well, yes, his way into Lockheed, 534 00:31:21,960 --> 00:31:25,520 Speaker 1: a Lockheed facility where it's like literal javelin anti tank 535 00:31:25,520 --> 00:31:27,920 Speaker 1: communitions are being made. That are you know that are 536 00:31:27,920 --> 00:31:30,840 Speaker 1: being used in Ukraine. Is that you gotta vote. And 537 00:31:30,880 --> 00:31:33,560 Speaker 1: also the reminder that when I say that, I mean 538 00:31:33,600 --> 00:31:36,280 Speaker 1: American people should only be engaged one day of the 539 00:31:36,360 --> 00:31:39,360 Speaker 1: year and then don't look at what we're doing until 540 00:31:39,400 --> 00:31:41,320 Speaker 1: election day and then we'll dress some stuff up and 541 00:31:41,320 --> 00:31:43,600 Speaker 1: then that will motivate you and then please unplug. So 542 00:31:43,640 --> 00:31:45,840 Speaker 1: as he goes in there, you know, we got that 543 00:31:45,920 --> 00:31:48,520 Speaker 1: whole thing about you know, you gotta vote, and just 544 00:31:48,640 --> 00:31:51,680 Speaker 1: the absurdity of it was I it really struck me 545 00:31:51,800 --> 00:31:56,120 Speaker 1: of him walking into this Lockheed facility while you know, 546 00:31:56,200 --> 00:31:59,160 Speaker 1: America is in the middle of such a crisis of 547 00:31:59,320 --> 00:32:02,840 Speaker 1: curtailing rights or just you know, legalizing all kinds all 548 00:32:02,920 --> 00:32:06,160 Speaker 1: forms of discrimination. So you know, a lot of the 549 00:32:06,240 --> 00:32:08,600 Speaker 1: news has swirled around like the amount of aid the 550 00:32:08,680 --> 00:32:11,400 Speaker 1: US is sending the Ukraine and whether or not the 551 00:32:11,520 --> 00:32:13,960 Speaker 1: US is like seizing on this to fight like a 552 00:32:13,960 --> 00:32:17,120 Speaker 1: full blown proxy war with Russia, which most people like. 553 00:32:17,360 --> 00:32:19,480 Speaker 1: It's a lot of that's a lot of a lot 554 00:32:19,520 --> 00:32:21,800 Speaker 1: of weapons going that way. And the way the Pentagons 555 00:32:21,840 --> 00:32:24,920 Speaker 1: talking is like and Russia could be you know, you know, 556 00:32:25,000 --> 00:32:27,960 Speaker 1: taken down forever as a result of this war. Um, 557 00:32:28,000 --> 00:32:30,560 Speaker 1: so we're seeing a lot, a lot, a lot of 558 00:32:30,560 --> 00:32:34,400 Speaker 1: of defensive weapons going that way. And I understand it's 559 00:32:34,480 --> 00:32:37,520 Speaker 1: vitally important that Ukrainians are able to protect themselves from 560 00:32:37,560 --> 00:32:40,360 Speaker 1: a Russian invasion, and most people are of that belief 561 00:32:40,400 --> 00:32:42,880 Speaker 1: on this around Fox News or on some other ship. 562 00:32:43,280 --> 00:32:45,160 Speaker 1: Where things get a little weird is when you look 563 00:32:45,160 --> 00:32:48,520 Speaker 1: at the amounts of money being spent. Because Biden just me, 564 00:32:48,640 --> 00:32:50,120 Speaker 1: I just want to put it in perspective. I'm not 565 00:32:50,160 --> 00:32:52,280 Speaker 1: here to say like you shouldn't, like you can't be 566 00:32:52,320 --> 00:32:55,400 Speaker 1: helping these people, but just to understand how money moves around, 567 00:32:55,440 --> 00:32:57,320 Speaker 1: in the amounts in which they're moving, in the amounts 568 00:32:57,360 --> 00:32:59,920 Speaker 1: of which we've see very little for things that actually help, 569 00:33:00,720 --> 00:33:02,800 Speaker 1: you know, the people that live here. He made a 570 00:33:02,800 --> 00:33:05,520 Speaker 1: request for thirty three billion dollars. The US has already 571 00:33:05,520 --> 00:33:09,520 Speaker 1: sent fourteen billion, which is exponentially more than they sent 572 00:33:09,600 --> 00:33:14,040 Speaker 1: since the annexation of Crime and Crime. So if Congress okay, 573 00:33:14,120 --> 00:33:16,840 Speaker 1: is this thirty three billion, the total will come to 574 00:33:16,920 --> 00:33:20,200 Speaker 1: forty seven billion, and it would Ukraine within like within 575 00:33:20,280 --> 00:33:23,560 Speaker 1: just a couple months, would become one of the largest 576 00:33:23,600 --> 00:33:28,760 Speaker 1: recipients of aid since nineteen forty six, second only to Israel, Iraq, Egypt, 577 00:33:28,760 --> 00:33:31,880 Speaker 1: and Afghanistan. Like they're like they're gonna they'll jump to 578 00:33:32,040 --> 00:33:35,760 Speaker 1: the charts real quick, think together, is it all mixed together? 579 00:33:35,840 --> 00:33:40,160 Speaker 1: Like this is a this concludes humanitarian military weapons kind 580 00:33:40,200 --> 00:33:42,600 Speaker 1: of broken up. I mean, if you actually look at 581 00:33:42,640 --> 00:33:45,160 Speaker 1: the bills like as they're you know, being proposed, you 582 00:33:45,200 --> 00:33:47,480 Speaker 1: can tell how they're being broken down. And that first 583 00:33:47,560 --> 00:33:50,320 Speaker 1: fourteen billion only about like they think less than four 584 00:33:50,360 --> 00:33:52,440 Speaker 1: billion was actually for weapons. Most of it was for 585 00:33:52,480 --> 00:33:55,240 Speaker 1: like food and other things to help people get resettled 586 00:33:55,240 --> 00:33:58,680 Speaker 1: in any like refugee assistance that's needed. In this thirty 587 00:33:58,720 --> 00:34:03,720 Speaker 1: three billion twenty billion is going to weapons now. And 588 00:34:04,080 --> 00:34:06,600 Speaker 1: this is all happening. When we talk about this all 589 00:34:06,640 --> 00:34:10,560 Speaker 1: the time. You see child poverty, homelessness, restrictions on body autonomy, 590 00:34:10,800 --> 00:34:14,600 Speaker 1: there's all the terrible levels. But very quickly we're saying like, yeah, 591 00:34:14,600 --> 00:34:17,520 Speaker 1: we need we need twenty billion for the military industrial complex. 592 00:34:17,880 --> 00:34:21,000 Speaker 1: And I just want to underline underline this relationship that 593 00:34:21,040 --> 00:34:24,320 Speaker 1: we have with military spending because due to the invasion 594 00:34:24,320 --> 00:34:28,560 Speaker 1: of Ukraine, defense companies have been like pissing themselves silly 595 00:34:28,600 --> 00:34:31,720 Speaker 1: with glee over the amounts of money that's being spent. 596 00:34:32,120 --> 00:34:35,160 Speaker 1: The head of RAI Theon was putting like this whole 597 00:34:35,200 --> 00:34:39,239 Speaker 1: situation like this on like a call, right. So, initially, 598 00:34:39,360 --> 00:34:42,920 Speaker 1: while first quarter defense earnings actually declined due to basically 599 00:34:42,920 --> 00:34:45,480 Speaker 1: cause weapons makers are like, we're not dealing with Russia anymore. 600 00:34:45,480 --> 00:34:49,040 Speaker 1: They're like, fuck, that was a huge client. They said 601 00:34:49,560 --> 00:34:52,960 Speaker 1: those profits are going to rebound thanks to Biden's massive investment. 602 00:34:53,040 --> 00:34:55,719 Speaker 1: On an earnings call last week, Raytheon CEO Greg Hayes 603 00:34:55,719 --> 00:34:58,520 Speaker 1: said defense spending, which was already set to increase before 604 00:34:58,560 --> 00:35:02,120 Speaker 1: the Russian invasion, is on a better trajectory. Quote better 605 00:35:02,160 --> 00:35:06,480 Speaker 1: than we what we had expected. And this is how 606 00:35:06,480 --> 00:35:09,240 Speaker 1: it's talked on an earnings call, right, Oh, it's better 607 00:35:09,280 --> 00:35:12,920 Speaker 1: than we expected, folks. These things that just destroy human life. 608 00:35:12,960 --> 00:35:16,400 Speaker 1: It's the money is coming through though. And there's another 609 00:35:16,480 --> 00:35:20,560 Speaker 1: article from Yahoo that talks about military spending and the 610 00:35:20,719 --> 00:35:22,880 Speaker 1: way it sounds, you would think it was written by 611 00:35:22,880 --> 00:35:25,879 Speaker 1: an algorithm that knows nothing of human suffering and has 612 00:35:25,960 --> 00:35:29,439 Speaker 1: just like an always on boner for defense spending goes 613 00:35:29,480 --> 00:35:32,839 Speaker 1: like this. As one of the global superpowers, the US 614 00:35:32,920 --> 00:35:37,520 Speaker 1: often gets involved in wars around the rest of the world. Today, 615 00:35:37,640 --> 00:35:41,160 Speaker 1: I'm sorry, that's just the wildest first sentence. Towards the 616 00:35:41,280 --> 00:35:43,520 Speaker 1: end of last year, the US government approved one of 617 00:35:43,520 --> 00:35:46,000 Speaker 1: the largest defense spending bills in history, had a value 618 00:35:46,000 --> 00:35:48,799 Speaker 1: of seven seventy seven point seven billion dollars. This gives 619 00:35:48,800 --> 00:35:51,879 Speaker 1: a direct advantage to the contractors who land more work 620 00:35:51,960 --> 00:35:54,600 Speaker 1: as part of these massive defense spending bills. With its 621 00:35:54,640 --> 00:35:57,719 Speaker 1: presence in every U S state, lockeed Martin will undoubtedly 622 00:35:58,000 --> 00:36:01,239 Speaker 1: land a lot of government contracts as per usual. The 623 00:36:01,320 --> 00:36:04,480 Speaker 1: share price of the company has searched eighteen percent since 624 00:36:04,520 --> 00:36:07,160 Speaker 1: the Russian invasion of Ukraine, as this conflict is likely 625 00:36:07,239 --> 00:36:10,560 Speaker 1: to result in many governments boosting their defense bills. Defense 626 00:36:10,600 --> 00:36:13,719 Speaker 1: equipment manufactured by Lockheed is already seen increasing demand as 627 00:36:13,719 --> 00:36:16,279 Speaker 1: the US and its allies are purchasing this equipment to 628 00:36:16,280 --> 00:36:18,759 Speaker 1: send a Ukraine. For the next fiscal year, the Biden 629 00:36:18,800 --> 00:36:23,399 Speaker 1: administration has proposed an eight billion dollar defense budget, which 630 00:36:23,400 --> 00:36:25,719 Speaker 1: is even higher than the amount allocated for this year. 631 00:36:27,760 --> 00:36:30,920 Speaker 1: Probably got COVID aid too, like before all this happened, 632 00:36:31,040 --> 00:36:36,600 Speaker 1: so probably got picked twice. This is like soon the 633 00:36:36,640 --> 00:36:41,840 Speaker 1: wild part, right is throughout all this, we're also seeing 634 00:36:41,880 --> 00:36:46,600 Speaker 1: that defense companies they're actually spending less on lobbying this 635 00:36:46,680 --> 00:36:49,840 Speaker 1: year because they know the fear of the war spilling 636 00:36:49,880 --> 00:36:52,239 Speaker 1: over in other parts of Europe. They don't need the 637 00:36:52,280 --> 00:36:55,200 Speaker 1: lobby like they really you can just tell by the 638 00:36:55,239 --> 00:36:58,920 Speaker 1: lobbying money that's spent. It's a comp it's so fucking different, 639 00:36:59,280 --> 00:37:02,960 Speaker 1: like mill millions less than this time last year, right, 640 00:37:03,360 --> 00:37:05,759 Speaker 1: because there's there's the encounters going, well, do we need 641 00:37:05,800 --> 00:37:08,839 Speaker 1: to spend it here? Probably not? And when when when 642 00:37:08,840 --> 00:37:11,160 Speaker 1: you look at how that let money like that the 643 00:37:11,280 --> 00:37:15,279 Speaker 1: influence works, right, they've spent right over two and a 644 00:37:15,320 --> 00:37:19,360 Speaker 1: half billion dollars since like you know, two thousand basically, 645 00:37:19,440 --> 00:37:21,319 Speaker 1: or I would say roughly probably around like we'll call 646 00:37:21,360 --> 00:37:23,839 Speaker 1: it nine eleven because that's really when ship took off. 647 00:37:24,360 --> 00:37:27,799 Speaker 1: And when you look at what comes back, that two 648 00:37:27,800 --> 00:37:32,279 Speaker 1: point six billion ended up in fourteen trillion or like 649 00:37:32,480 --> 00:37:34,480 Speaker 1: that from there, like half of that, like for the 650 00:37:34,520 --> 00:37:37,120 Speaker 1: fourteen trillion that was allocated the d D during that time, 651 00:37:37,120 --> 00:37:40,560 Speaker 1: about half of that went to those defense contractors. So 652 00:37:40,920 --> 00:37:44,879 Speaker 1: their return on investment, like for Lockheed in the day 653 00:37:45,080 --> 00:37:48,040 Speaker 1: five thousand, eight hundred eight dollars they got from D 654 00:37:48,160 --> 00:37:51,000 Speaker 1: O D contracts. That's like their return was for every 655 00:37:51,000 --> 00:37:55,280 Speaker 1: dollar spent they got fifty eight hundred dollars in contracts back. Wow, 656 00:37:55,360 --> 00:37:59,120 Speaker 1: that's pretty good. That's like crypto returns. So yeah, exactly, 657 00:37:59,239 --> 00:38:03,120 Speaker 1: that's some can total ship if I've ever seen it. 658 00:38:03,480 --> 00:38:07,719 Speaker 1: But that's this is how you know, they see the conflicts. 659 00:38:07,719 --> 00:38:09,200 Speaker 1: They said, this is who we need to spend with. 660 00:38:09,480 --> 00:38:12,520 Speaker 1: We know who to talk to, and we can continue 661 00:38:12,560 --> 00:38:15,360 Speaker 1: to spend this money. And this is all while we're 662 00:38:15,360 --> 00:38:19,919 Speaker 1: looking at things like people's fucking health insurance not being 663 00:38:20,160 --> 00:38:22,560 Speaker 1: you know, we have no we have no stable public 664 00:38:22,600 --> 00:38:25,480 Speaker 1: health insurance. We have nothing to offer people in terms 665 00:38:25,520 --> 00:38:29,960 Speaker 1: of childcare or anything. But just let that sit of 666 00:38:30,000 --> 00:38:34,799 Speaker 1: how easily we can always just lop off billions of 667 00:38:34,840 --> 00:38:38,359 Speaker 1: dollars for defense spending and people have to literally pull 668 00:38:38,520 --> 00:38:42,160 Speaker 1: up to the capital, like hooked up to medical machines 669 00:38:42,200 --> 00:38:45,600 Speaker 1: to try and show politicians that these are human beings 670 00:38:45,600 --> 00:38:48,560 Speaker 1: that could benefit from, you know, more progressive policy. And 671 00:38:49,120 --> 00:38:51,759 Speaker 1: lobbying has become different to like if it used to 672 00:38:51,760 --> 00:38:53,960 Speaker 1: be like, you know, one company had a lobbyist, they 673 00:38:53,960 --> 00:38:55,839 Speaker 1: would go and try to lobby the you know, the 674 00:38:55,880 --> 00:38:58,840 Speaker 1: congressman of the senators or you know, just the government 675 00:38:58,840 --> 00:39:01,759 Speaker 1: in general. Now there's like lobbying companies that just kind 676 00:39:01,760 --> 00:39:05,719 Speaker 1: of have an umbrella like I represent these defense contractors 677 00:39:05,719 --> 00:39:08,160 Speaker 1: and whatever. So basically the lobbying is kind of pulled 678 00:39:08,200 --> 00:39:11,520 Speaker 1: together for the industries as a whole, so it becomes 679 00:39:11,760 --> 00:39:15,799 Speaker 1: even less personal. I guess you would say, because it's all, well, 680 00:39:15,840 --> 00:39:18,640 Speaker 1: money needs to flow into this industry, we're not We're 681 00:39:18,719 --> 00:39:21,920 Speaker 1: less concerned with which company anymore. Yeah, And I think 682 00:39:21,920 --> 00:39:26,080 Speaker 1: at that point the politicians know which companies because you 683 00:39:26,120 --> 00:39:28,800 Speaker 1: know that because that's like you know, like the trades 684 00:39:28,840 --> 00:39:31,480 Speaker 1: go around. It's like, oh, which firm has that contract? Okay, 685 00:39:31,560 --> 00:39:33,120 Speaker 1: Now I know when I get a knock on my 686 00:39:33,160 --> 00:39:37,960 Speaker 1: door from that that means bowing or whoever. And it's 687 00:39:37,960 --> 00:39:41,200 Speaker 1: just dorks like everything else that we spend what we 688 00:39:41,280 --> 00:39:44,000 Speaker 1: put the rest of our money towards, like as a 689 00:39:44,000 --> 00:39:47,399 Speaker 1: as a country, as a people, like it's it's just 690 00:39:47,520 --> 00:39:51,120 Speaker 1: a like print money button for the US economy that 691 00:39:51,600 --> 00:39:57,960 Speaker 1: they realize the public doesn't really blame them for or 692 00:39:58,160 --> 00:40:01,319 Speaker 1: judge if they if they decide to like put make 693 00:40:01,400 --> 00:40:04,360 Speaker 1: the defense budget, like they're still testing like to be like, 694 00:40:04,400 --> 00:40:07,160 Speaker 1: how high can we fucking make this thing before somebody 695 00:40:07,200 --> 00:40:09,640 Speaker 1: push us back? Like at this point the numbers just 696 00:40:09,680 --> 00:40:12,800 Speaker 1: seem imaginary to people, and everyone wants to feel safe. 697 00:40:13,000 --> 00:40:16,440 Speaker 1: And you get to call it a defense budget um 698 00:40:16,480 --> 00:40:19,839 Speaker 1: and defense wins championships, as you know. So we just 699 00:40:20,440 --> 00:40:23,520 Speaker 1: put put it in the tease, put it in the trillions, baby, 700 00:40:23,640 --> 00:40:27,560 Speaker 1: and it's I mean, like, for example, right to bring 701 00:40:27,800 --> 00:40:31,040 Speaker 1: the almost six million families that live in poverty in 702 00:40:31,040 --> 00:40:34,560 Speaker 1: the United States, like to like the kind of injection 703 00:40:34,600 --> 00:40:38,120 Speaker 1: of income they would need cost around forty six billion 704 00:40:38,160 --> 00:40:42,000 Speaker 1: dollars in a year to lift those families out of poverty. 705 00:40:42,000 --> 00:40:44,520 Speaker 1: And also like the hundred like maybe two hundred thousand 706 00:40:44,640 --> 00:40:47,960 Speaker 1: or so children that aren't with their families, that spending 707 00:40:48,320 --> 00:40:51,200 Speaker 1: would lift those people out of poverty. Like if you 708 00:40:51,400 --> 00:40:53,560 Speaker 1: began to even invest on that level, if you just 709 00:40:53,600 --> 00:40:55,560 Speaker 1: did a raw thing of like just give these people 710 00:40:55,560 --> 00:40:57,800 Speaker 1: cash and they'll be out of poverty. That price tags 711 00:40:57,800 --> 00:41:01,120 Speaker 1: around forties seven million, forty seven bill in dollars, right, 712 00:41:01,600 --> 00:41:03,880 Speaker 1: I mean, Elon Musk if he would have paid the 713 00:41:05,080 --> 00:41:08,279 Speaker 1: um U n the the food bank, like that would 714 00:41:08,280 --> 00:41:10,759 Speaker 1: have actually helped to get a lot of people fed 715 00:41:10,840 --> 00:41:12,640 Speaker 1: because they said here's how we're going to spend your 716 00:41:12,800 --> 00:41:15,719 Speaker 1: five or six billion or whatever, and then okay, great, 717 00:41:15,760 --> 00:41:18,720 Speaker 1: and then he never he never gave them money. Yeah, 718 00:41:18,840 --> 00:41:21,960 Speaker 1: and it's you know, so I think the other issue 719 00:41:22,040 --> 00:41:24,959 Speaker 1: is if you're not really engaged and you just get 720 00:41:24,960 --> 00:41:28,960 Speaker 1: your news from like the local news or CNN or whatever, 721 00:41:29,719 --> 00:41:32,200 Speaker 1: no one's got them. What are they gonna say Military 722 00:41:32,280 --> 00:41:36,200 Speaker 1: industrial complex on that channel? Yeah, because you know what 723 00:41:36,280 --> 00:41:40,520 Speaker 1: I mean, those are like it's like fucking it's like Voldemort, Like, 724 00:41:40,600 --> 00:41:43,080 Speaker 1: don't fucking bring it up, Like that's not what we 725 00:41:43,160 --> 00:41:46,919 Speaker 1: do here, and that's like too real. Just be like wow, 726 00:41:47,000 --> 00:41:49,560 Speaker 1: with increased budgets and I get that, Like it feels 727 00:41:49,560 --> 00:41:51,200 Speaker 1: good to know that there are people in need that 728 00:41:51,239 --> 00:41:53,799 Speaker 1: need assistance and we're providing that. And I think that's 729 00:41:53,840 --> 00:41:55,879 Speaker 1: the cover they used to then be like Okay, now 730 00:41:56,120 --> 00:41:59,879 Speaker 1: let's fucking let's hook up Raytheon, let's hook up block 731 00:42:00,000 --> 00:42:03,600 Speaker 1: need and and we get it too, because those companies 732 00:42:04,160 --> 00:42:06,400 Speaker 1: the same. You know, we talked a bit about revolving doors. 733 00:42:06,640 --> 00:42:08,600 Speaker 1: You end up leaving Raytheon, you might get in the 734 00:42:08,640 --> 00:42:13,240 Speaker 1: Pentagon and insert yourself there into a better decision making position, 735 00:42:13,440 --> 00:42:16,399 Speaker 1: bring more contracts, to Raytheon You leave the Pentagon, your 736 00:42:16,400 --> 00:42:21,520 Speaker 1: back up Larrython, Like, it's just it's that absurdity, and 737 00:42:21,560 --> 00:42:23,480 Speaker 1: whenever it's talked about, I feel like you see it 738 00:42:23,560 --> 00:42:26,000 Speaker 1: like in a very quick segment like on like a 739 00:42:26,080 --> 00:42:29,399 Speaker 1: more fringe host show on a news network, and then 740 00:42:29,400 --> 00:42:31,560 Speaker 1: it's just kind of like glossed over rather than like 741 00:42:32,320 --> 00:42:35,840 Speaker 1: putting in front of people the absurdity of how we 742 00:42:35,920 --> 00:42:39,440 Speaker 1: have completely de emphasized helping people. It's good, Like it's 743 00:42:39,480 --> 00:42:42,920 Speaker 1: it's very clear, like it couldn't be more uh, in 744 00:42:43,000 --> 00:42:45,319 Speaker 1: your face than when you look at things like I 745 00:42:45,360 --> 00:42:47,759 Speaker 1: think it even goes beyond that sometimes where we've de 746 00:42:47,880 --> 00:42:51,280 Speaker 1: emphasized the people like you know, they're like less worthy 747 00:42:51,440 --> 00:42:54,279 Speaker 1: of help, and that's that's really tragic when you look 748 00:42:54,320 --> 00:42:56,400 Speaker 1: at like, well, you know these people, a lot of 749 00:42:56,400 --> 00:42:58,799 Speaker 1: people need help, but yeah, but there's other things, we 750 00:42:58,840 --> 00:43:02,320 Speaker 1: have other priorities, and like, well, no, there's still people 751 00:43:02,600 --> 00:43:08,840 Speaker 1: they need help. And I think that's you know, even worse, right, Yeah, 752 00:43:08,880 --> 00:43:12,680 Speaker 1: but it's also they they break it down into little 753 00:43:12,760 --> 00:43:16,520 Speaker 1: chunks in terms of the numbers, and you know, the 754 00:43:16,560 --> 00:43:20,440 Speaker 1: Green New Deal they total up to that's nine trillion 755 00:43:20,600 --> 00:43:23,359 Speaker 1: over the course of a hundred years and like don't 756 00:43:23,440 --> 00:43:26,759 Speaker 1: give any of the cost savings that would happen by 757 00:43:27,040 --> 00:43:31,759 Speaker 1: not destroying the planet Earth. But on this they're like, 758 00:43:31,880 --> 00:43:34,160 Speaker 1: all right, so what all we're asking for is thirty 759 00:43:34,200 --> 00:43:39,960 Speaker 1: three billion in age this month, like it's goes to 760 00:43:40,120 --> 00:43:43,640 Speaker 1: kids and stuff and help out, and then another thirty 761 00:43:43,719 --> 00:43:45,279 Speaker 1: I don't I mean, honestly, I don't know how much 762 00:43:45,320 --> 00:43:47,719 Speaker 1: Raytheon is overcharging for some of this ship man, but 763 00:43:47,960 --> 00:43:50,640 Speaker 1: uh oh yeah, we'll get them the javelins. There aren't 764 00:43:50,719 --> 00:43:53,880 Speaker 1: enough people in the world, like we we we have 765 00:43:53,960 --> 00:43:58,400 Speaker 1: talked about this before in regards to like how immorally wealthy, 766 00:43:58,600 --> 00:44:02,480 Speaker 1: like a billionaire to be Like the fact that you know, 767 00:44:02,600 --> 00:44:06,279 Speaker 1: a billion seconds is like hundreds of years, well a 768 00:44:06,320 --> 00:44:10,400 Speaker 1: million or yeah whatever whatever is. Billion is a huge number. 769 00:44:10,600 --> 00:44:12,680 Speaker 1: And when you're talking about like these numbers, like that 770 00:44:12,680 --> 00:44:15,440 Speaker 1: ship just like goes missing, Like billions of dollars just 771 00:44:15,480 --> 00:44:19,560 Speaker 1: go missing. Like people can fucking steal billions of dollars easily, 772 00:44:19,680 --> 00:44:22,759 Speaker 1: Like it doesn't. You could build wind farms all over 773 00:44:22,800 --> 00:44:29,280 Speaker 1: the planet that, yeah, over to create a renewable energy. Yeah. Actually, 774 00:44:29,520 --> 00:44:32,239 Speaker 1: like somebody, somebody who works on the Pentagon should just 775 00:44:32,280 --> 00:44:37,400 Speaker 1: be like miss misallocating funds to wind farms to the 776 00:44:37,440 --> 00:44:39,600 Speaker 1: construction of wind farms, Like that might be the only 777 00:44:39,600 --> 00:44:42,200 Speaker 1: way we can do it. We could create a missile 778 00:44:42,200 --> 00:44:45,840 Speaker 1: that when it lands it um converts into a wind 779 00:44:45,840 --> 00:44:48,759 Speaker 1: turn by. I could shoot them at the countries and 780 00:44:48,760 --> 00:44:54,680 Speaker 1: then harvest the energy. Right, they're like forced renewable. I mean, yeah, 781 00:44:55,280 --> 00:44:58,920 Speaker 1: carpet bomb you with solar panels. Yeah, yeah, I mean 782 00:44:58,960 --> 00:45:01,040 Speaker 1: because there was that tweet that what kind of went 783 00:45:01,120 --> 00:45:04,160 Speaker 1: viral when Ellen was you know, was buying Twitter where 784 00:45:04,160 --> 00:45:06,680 Speaker 1: they're giving you a perspective of how much money forty 785 00:45:06,680 --> 00:45:08,480 Speaker 1: four billion was, and there is that tweet that was 786 00:45:08,520 --> 00:45:11,600 Speaker 1: basically saying like, if you made a two hundred thousand 787 00:45:11,600 --> 00:45:14,920 Speaker 1: dollars every single day since you know, whatever date we 788 00:45:15,000 --> 00:45:18,879 Speaker 1: say Columbus came to the New World in four two, 789 00:45:19,360 --> 00:45:21,960 Speaker 1: if you spent if you made two hundred thousand dollars 790 00:45:22,080 --> 00:45:24,880 Speaker 1: every day since that day, you still wouldn't have forty 791 00:45:24,880 --> 00:45:30,640 Speaker 1: four billion dollars. You'd have thirty nine. Right. Think about that. 792 00:45:30,920 --> 00:45:34,120 Speaker 1: You could be a fucking baller vamp baller as vampire 793 00:45:34,200 --> 00:45:37,600 Speaker 1: making two hundred racks a day. And then you're like, 794 00:45:37,760 --> 00:45:41,879 Speaker 1: fuck man, I'm still since grind and I can't even 795 00:45:41,880 --> 00:45:44,319 Speaker 1: match these fucking people. Yeah, well maybe maybe that's what 796 00:45:44,360 --> 00:45:46,640 Speaker 1: Elon Musk is. I mean, is there any there might 797 00:45:46,640 --> 00:45:48,640 Speaker 1: be some pictures of him from the nineteen thirties that 798 00:45:48,680 --> 00:45:54,600 Speaker 1: haven't come out yet. Yeah maybe who who knows? But yeah, 799 00:45:54,680 --> 00:45:57,080 Speaker 1: it it really is. It's just these are staggering amounts 800 00:45:57,080 --> 00:46:01,960 Speaker 1: of money, and uh god, I feel like, you know, 801 00:46:02,080 --> 00:46:04,880 Speaker 1: a responsible like newspaper would always put a note to 802 00:46:04,960 --> 00:46:08,560 Speaker 1: like what, however billion dollars are being spent on like 803 00:46:09,200 --> 00:46:13,839 Speaker 1: killing machines or police nonsense? How that how that translates 804 00:46:13,880 --> 00:46:17,520 Speaker 1: to good for the regular person. I mean, there's plenty 805 00:46:17,520 --> 00:46:20,239 Speaker 1: of sites where you can aggregate and find this information, 806 00:46:20,280 --> 00:46:22,480 Speaker 1: but like, it's like, I feel like that's the only 807 00:46:22,480 --> 00:46:24,879 Speaker 1: way you could slowly erode at that where someone could say, 808 00:46:24,880 --> 00:46:26,760 Speaker 1: look at thirty three billion and be like, not thirty 809 00:46:26,760 --> 00:46:29,759 Speaker 1: three billion, like gets all the water pipes working here, 810 00:46:29,840 --> 00:46:32,520 Speaker 1: that changes our our energy mix, that does this, it 811 00:46:32,600 --> 00:46:36,600 Speaker 1: does that. But that's what it is. And I'm sorry, 812 00:46:36,600 --> 00:46:39,200 Speaker 1: I'm still kind of thinking about a T shirt that 813 00:46:39,200 --> 00:46:41,600 Speaker 1: says Vampire Baller on it, So I think that would 814 00:46:41,600 --> 00:46:43,279 Speaker 1: be kind of cool if you guys may yeah, thank 815 00:46:43,280 --> 00:46:47,439 Speaker 1: you right in the cut. But also just very very 816 00:46:47,560 --> 00:46:51,640 Speaker 1: sour though that he still still doesn't even have like, 817 00:46:52,480 --> 00:46:55,520 Speaker 1: you know, proper billionaire. He didn't quite make it. Yeah, 818 00:46:56,200 --> 00:46:58,120 Speaker 1: he's like, I tried to do it ethically, man, Yeah, 819 00:46:59,120 --> 00:47:03,320 Speaker 1: I could only buy my space. Right. By the way, 820 00:47:03,360 --> 00:47:07,240 Speaker 1: four billion seconds is one three hundred and sixty four years. 821 00:47:07,600 --> 00:47:09,880 Speaker 1: So that's frightening. If you start, start your time or 822 00:47:09,920 --> 00:47:13,279 Speaker 1: now and you'll get there. Thank god, they're banning math books. 823 00:47:13,280 --> 00:47:15,480 Speaker 1: I don't want to hear about any of this. So yeah, 824 00:47:16,160 --> 00:47:20,319 Speaker 1: how long they calculators? Yeah, all right, let's take a 825 00:47:20,520 --> 00:47:33,560 Speaker 1: quick break and we'll be right back. And we're back. 826 00:47:34,360 --> 00:47:37,640 Speaker 1: And we have been talking about in recent days the 827 00:47:37,719 --> 00:47:42,040 Speaker 1: need for a community, the fact that we are bad 828 00:47:42,080 --> 00:47:45,080 Speaker 1: at it in modern America, the fact that there's a 829 00:47:45,160 --> 00:47:49,200 Speaker 1: loneliness epidemic caused by you know, various things, but at 830 00:47:49,239 --> 00:47:54,000 Speaker 1: least partially social media and just being isolated from one another, 831 00:47:54,360 --> 00:47:59,160 Speaker 1: and the pandemic obviously didn't help. And for me personally, 832 00:47:59,280 --> 00:48:03,160 Speaker 1: when I'm away from people, that is when I am 833 00:48:03,360 --> 00:48:06,600 Speaker 1: most in fear of being around people. Like so if 834 00:48:06,640 --> 00:48:10,319 Speaker 1: I'm if I haven't seen somebody in a year, I'm like, 835 00:48:10,760 --> 00:48:13,120 Speaker 1: do I really want to see this person again? And 836 00:48:13,200 --> 00:48:15,760 Speaker 1: like those are the people I love, Like those people 837 00:48:15,920 --> 00:48:18,520 Speaker 1: are like my best friends and ship and I'm like, 838 00:48:19,000 --> 00:48:22,439 Speaker 1: oh man, it's gonna be so awkward. We're gonna run 839 00:48:22,440 --> 00:48:25,400 Speaker 1: out of things to say to each other. What am 840 00:48:25,400 --> 00:48:28,000 Speaker 1: I supposed to say? Like hey Dad? And it's like 841 00:48:28,920 --> 00:48:34,359 Speaker 1: what you're dead man? Like let's it? But yeah, like 842 00:48:34,440 --> 00:48:38,359 Speaker 1: that's so. I think you know that there is at 843 00:48:38,400 --> 00:48:41,520 Speaker 1: least personally for me. And I feel like other people 844 00:48:41,600 --> 00:48:45,160 Speaker 1: might feel this way, like some aversion a version and 845 00:48:45,200 --> 00:48:48,560 Speaker 1: like a hardening and sort of a a momentum that 846 00:48:48,760 --> 00:48:53,680 Speaker 1: like loneliness and isolating can kind of pick up momentum 847 00:48:53,719 --> 00:48:57,560 Speaker 1: a little bit. And there's a new study that strikes 848 00:48:57,640 --> 00:49:01,120 Speaker 1: me as like true and it yeah, I think I 849 00:49:01,600 --> 00:49:04,080 Speaker 1: like this. Well, I think what' just like we're saying right, like, 850 00:49:04,239 --> 00:49:07,600 Speaker 1: it's clear that one of the more potent forces for 851 00:49:07,760 --> 00:49:11,279 Speaker 1: good is when people work together collectively and look out 852 00:49:11,320 --> 00:49:14,279 Speaker 1: for each other. Uh that then that in times like this, 853 00:49:14,320 --> 00:49:17,400 Speaker 1: it's even more important right to to look at somebody 854 00:49:17,400 --> 00:49:19,680 Speaker 1: in your community and get to know them, to to 855 00:49:19,680 --> 00:49:21,759 Speaker 1: to try and like again, build the community. And like 856 00:49:22,200 --> 00:49:24,520 Speaker 1: you're saying, I'm the same way. The idea of speaking 857 00:49:24,520 --> 00:49:27,680 Speaker 1: to a stranger in my mind is like, like, who's 858 00:49:27,719 --> 00:49:29,319 Speaker 1: this fucking person. They're gonna be a piece of ship. 859 00:49:29,400 --> 00:49:31,360 Speaker 1: I don't know, they probably don't like anything. I fucking like. 860 00:49:31,400 --> 00:49:33,320 Speaker 1: I don't want to just say some ship to be friendly. 861 00:49:33,400 --> 00:49:37,680 Speaker 1: Fuck that, like suddenly just become this curmudgeon because I 862 00:49:37,719 --> 00:49:40,560 Speaker 1: have this sort of anticipation of how I think this 863 00:49:40,680 --> 00:49:43,800 Speaker 1: interaction with a person I have never met, because somehow, 864 00:49:43,840 --> 00:49:47,360 Speaker 1: in this version, I'm a fortune teller. I know exactly 865 00:49:47,360 --> 00:49:50,080 Speaker 1: what the outcome is. And in this study that came out, 866 00:49:50,200 --> 00:49:52,200 Speaker 1: they were really testing this of like what is the 867 00:49:52,239 --> 00:49:55,680 Speaker 1: effect of having a conversation with a stranger is it? 868 00:49:55,760 --> 00:49:58,799 Speaker 1: Is it so bad? Or is it actually enriching? And 869 00:49:58,840 --> 00:50:01,799 Speaker 1: the study found that people, you know, as they wrote 870 00:50:01,800 --> 00:50:04,000 Speaker 1: down what their expectations were and then what they actually 871 00:50:04,120 --> 00:50:07,640 Speaker 1: recorded results were after speaking, people were incorrectly believed that 872 00:50:07,680 --> 00:50:10,839 Speaker 1: their quote conversations would become more and more dull and 873 00:50:10,960 --> 00:50:15,200 Speaker 1: awkward over time. Instead, conversations lasting up to half an 874 00:50:15,200 --> 00:50:18,680 Speaker 1: hour resulted in either stable or increasing levels of enjoyment. 875 00:50:19,239 --> 00:50:23,080 Speaker 1: So that's that's a nice thing to hear, you know. 876 00:50:23,200 --> 00:50:25,959 Speaker 1: I gotta say, when when you sent that article over, 877 00:50:26,920 --> 00:50:29,200 Speaker 1: my first reaction was, oh, thank god, I'm not the 878 00:50:29,239 --> 00:50:33,080 Speaker 1: only one that feels this way, right, Oh, like that, Yeah, 879 00:50:33,080 --> 00:50:35,759 Speaker 1: the idea to speak to a strangers like you know, 880 00:50:35,800 --> 00:50:38,799 Speaker 1: and I've been a comic and towards the country, you know, 881 00:50:38,920 --> 00:50:41,200 Speaker 1: over years and years and met all sorts of you know, 882 00:50:41,280 --> 00:50:45,080 Speaker 1: different people, and and this article is a hundred percent true. 883 00:50:45,160 --> 00:50:47,799 Speaker 1: Like it was always much better than in my head 884 00:50:47,840 --> 00:50:50,440 Speaker 1: I was anticipating, like you know, when you meet strangers 885 00:50:50,440 --> 00:50:53,680 Speaker 1: and people. And it's a really encouraging article because hey, 886 00:50:53,719 --> 00:50:55,400 Speaker 1: like I said, and like I thought, I was the 887 00:50:55,440 --> 00:50:57,880 Speaker 1: only one that didn't look forward to every single interaction 888 00:50:57,880 --> 00:51:01,759 Speaker 1: with other human beings and right, and also that it's 889 00:51:01,760 --> 00:51:04,759 Speaker 1: always better than you think. Yeah, And so they brought 890 00:51:04,840 --> 00:51:07,440 Speaker 1: in over a thousand people to conduct this research. Right, 891 00:51:07,480 --> 00:51:10,479 Speaker 1: they would they would put together people in pairs. They'd meet, 892 00:51:10,840 --> 00:51:13,160 Speaker 1: chat for a few minutes, then they'd break, they would 893 00:51:13,200 --> 00:51:16,359 Speaker 1: leave record their assessment of the conversation. Then they would 894 00:51:16,360 --> 00:51:18,920 Speaker 1: record how much enjoyment they were getting from the discussion, 895 00:51:19,400 --> 00:51:22,560 Speaker 1: and and also asked to predict their future levels of 896 00:51:22,640 --> 00:51:26,000 Speaker 1: enjoyment or you know, satisfaction from speaking to the stranger. 897 00:51:26,239 --> 00:51:27,960 Speaker 1: And then they'd go back to the person and kind 898 00:51:27,960 --> 00:51:30,600 Speaker 1: of do this over and over and over time. Again 899 00:51:30,640 --> 00:51:32,839 Speaker 1: like that, like the results are saying, people were not 900 00:51:32,920 --> 00:51:35,240 Speaker 1: running out of things to talk about, and they found 901 00:51:35,280 --> 00:51:38,319 Speaker 1: the experiment very pleasant. And in one of the they 902 00:51:38,360 --> 00:51:40,920 Speaker 1: did five different experiments. In one of the experiments right, 903 00:51:41,080 --> 00:51:44,000 Speaker 1: participants had the option to either cut a conversation short 904 00:51:44,880 --> 00:51:47,440 Speaker 1: or they would be required to speak for an extra 905 00:51:47,480 --> 00:51:51,359 Speaker 1: twenty five minutes. And the group that had the option two, 906 00:51:51,440 --> 00:51:54,439 Speaker 1: or the group that was asked to speak longer they 907 00:51:54,440 --> 00:51:57,560 Speaker 1: were they reported much higher levels of enjoyment than the 908 00:51:57,560 --> 00:51:59,719 Speaker 1: group that was able to cut the conversation off when 909 00:51:59,760 --> 00:52:05,720 Speaker 1: they when they felt comfortable. I think they were only children, 910 00:52:06,760 --> 00:52:10,319 Speaker 1: uh and and I think again, you know, we really 911 00:52:10,400 --> 00:52:13,000 Speaker 1: underestimate the fact that just that how curious we are, 912 00:52:13,040 --> 00:52:15,560 Speaker 1: even back to talking about science and being a kid 913 00:52:15,640 --> 00:52:20,520 Speaker 1: and observing children like we are curious creatures or social animals. 914 00:52:21,000 --> 00:52:24,239 Speaker 1: And a lot of the enjoyment for people merely came 915 00:52:24,280 --> 00:52:27,200 Speaker 1: from just finding out more about the other person that 916 00:52:27,239 --> 00:52:30,400 Speaker 1: they were just inquisitive that they're like, oh, yeah, I'm 917 00:52:30,440 --> 00:52:32,920 Speaker 1: The thing that really motivated people was this sort of 918 00:52:33,200 --> 00:52:35,920 Speaker 1: idea that they wanted to actually just learn more about 919 00:52:36,000 --> 00:52:39,239 Speaker 1: this person they had just met. And yeah, I think 920 00:52:39,280 --> 00:52:42,480 Speaker 1: that's a really interesting thing. That we really lose. Is that, 921 00:52:42,560 --> 00:52:46,480 Speaker 1: like how powerful conversation actually is. It's I think because 922 00:52:47,160 --> 00:52:49,800 Speaker 1: of social media and how especially in the last few years, 923 00:52:49,840 --> 00:52:53,000 Speaker 1: so many people are even more and more you know, disconnected, 924 00:52:53,440 --> 00:52:56,319 Speaker 1: and the emotions are running high and and and going 925 00:52:56,440 --> 00:53:01,000 Speaker 1: to very pessimistic places. That just mere really connecting with 926 00:53:01,200 --> 00:53:04,040 Speaker 1: a person and saying like hey, like hey, I'm this person. No, 927 00:53:04,239 --> 00:53:08,040 Speaker 1: you do this, it helps tremendously because it dispels all 928 00:53:08,040 --> 00:53:10,799 Speaker 1: of these illusions and like you said, fortune telling that 929 00:53:10,840 --> 00:53:13,600 Speaker 1: we have about another person, you know, the best way 930 00:53:13,640 --> 00:53:17,640 Speaker 1: to eliminate that is to actually be around that person. Yeah. 931 00:53:17,760 --> 00:53:20,400 Speaker 1: I'm embarrassed by how much of a revelation it was 932 00:53:20,480 --> 00:53:23,120 Speaker 1: to me when I, like, when I stopped drinking, I 933 00:53:23,160 --> 00:53:26,280 Speaker 1: was like, how will I ever like talk to people 934 00:53:26,560 --> 00:53:32,600 Speaker 1: ever again? And my wife, who is brilliant and also 935 00:53:32,840 --> 00:53:37,279 Speaker 1: great I I assumed naturally social person, She's like, no, 936 00:53:37,400 --> 00:53:40,760 Speaker 1: you just asked them about themselves. And I was like, oh, right, 937 00:53:40,880 --> 00:53:44,560 Speaker 1: and they're dumb, so they're gonna like talking about themselves. 938 00:53:45,360 --> 00:53:49,560 Speaker 1: But no, it's actually that people are interesting and so 939 00:53:49,680 --> 00:53:53,160 Speaker 1: when I asking them about themselves, you learn new interesting 940 00:53:53,239 --> 00:53:57,480 Speaker 1: things about them, and then you like build on that, 941 00:53:57,680 --> 00:54:01,439 Speaker 1: like a human conversation I believe is what what they're 942 00:54:01,480 --> 00:54:06,319 Speaker 1: calling um but like, yeah I was, and sometimes they're dumb, 943 00:54:06,640 --> 00:54:11,040 Speaker 1: but yeah, and then you can always just be like 944 00:54:11,160 --> 00:54:13,680 Speaker 1: uh huh, and then you start you open up your 945 00:54:13,680 --> 00:54:16,920 Speaker 1: bank of you know, I'm going to remember this for 946 00:54:17,120 --> 00:54:23,120 Speaker 1: comedy purposes, right, You're like, where my next conversation? Yeah, 947 00:54:23,280 --> 00:54:27,960 Speaker 1: yeah we are. It's so helpful and like you're saying, 948 00:54:27,960 --> 00:54:32,719 Speaker 1: like in so many levels it helps a two demistify 949 00:54:32,840 --> 00:54:35,560 Speaker 1: or make people less obscure to us, or we might 950 00:54:35,560 --> 00:54:37,440 Speaker 1: be projecting all kinds of ship of who we think 951 00:54:37,520 --> 00:54:40,839 Speaker 1: somebody is based on merely just looking at them. Right, 952 00:54:41,320 --> 00:54:44,400 Speaker 1: to connect to a human being that that is truly 953 00:54:44,480 --> 00:54:46,560 Speaker 1: going to begin to erode. Things like you're not just 954 00:54:46,640 --> 00:54:50,000 Speaker 1: seeing somebody who's walking their dog and you see every 955 00:54:50,080 --> 00:54:52,759 Speaker 1: now and then that person now becomes this person with 956 00:54:52,880 --> 00:54:55,080 Speaker 1: a name who you know actually is from this part 957 00:54:55,120 --> 00:54:58,120 Speaker 1: of the country or another country, and you have this 958 00:54:58,280 --> 00:55:00,719 Speaker 1: in common. And now when you see them, you have 959 00:55:00,880 --> 00:55:04,320 Speaker 1: an you you have a connection to them, not to 960 00:55:04,360 --> 00:55:06,640 Speaker 1: say that you're best friends, but when you walk by 961 00:55:06,760 --> 00:55:08,800 Speaker 1: that person again, you said, well, let's say, what's a 962 00:55:09,000 --> 00:55:11,239 Speaker 1: person that I met last week? You don't have to 963 00:55:11,280 --> 00:55:14,920 Speaker 1: be best friends, but that already you're already you're already 964 00:55:15,000 --> 00:55:17,560 Speaker 1: beginning to see who is in your community and connecting 965 00:55:17,600 --> 00:55:20,000 Speaker 1: with them. And I just think in general, yeah, it's 966 00:55:20,040 --> 00:55:22,960 Speaker 1: it's good to remind ourselves that just in general, things 967 00:55:23,000 --> 00:55:24,799 Speaker 1: are never as fucked up as we think they're going 968 00:55:24,840 --> 00:55:27,160 Speaker 1: to be. As it relates to like our social anxiety, 969 00:55:27,239 --> 00:55:29,120 Speaker 1: where we're like, damn, man, this is gonna be fucking 970 00:55:29,280 --> 00:55:31,560 Speaker 1: weird when I talk to this person or I gotta 971 00:55:31,600 --> 00:55:34,200 Speaker 1: go to this thing, And it's never as bad as 972 00:55:34,280 --> 00:55:36,040 Speaker 1: we have we we make it out to be in 973 00:55:36,080 --> 00:55:40,040 Speaker 1: our minds for sure. Well, Chris uh, it's been truly 974 00:55:40,080 --> 00:55:43,440 Speaker 1: a pleasure having you on the Daily Zeitgeist. Where can 975 00:55:43,520 --> 00:55:46,920 Speaker 1: people find you? Follow you all that good stuff? Well, 976 00:55:46,960 --> 00:55:49,000 Speaker 1: it's been great. Thanks a lot for having me on. 977 00:55:49,120 --> 00:55:51,680 Speaker 1: The best place to go is to my my new company. 978 00:55:51,760 --> 00:55:55,120 Speaker 1: It's a Whitecat Entertainment dot com. I just created at 979 00:55:55,120 --> 00:55:58,239 Speaker 1: a storytelling company, you know, right when the pandemic was hitting, 980 00:55:58,280 --> 00:55:59,959 Speaker 1: which is a great time to start a new company, 981 00:56:00,280 --> 00:56:03,360 Speaker 1: by the way, So yeah, that's right here. Um, so 982 00:56:03,640 --> 00:56:06,080 Speaker 1: you can find like the podcast what are you Watching? 983 00:56:06,160 --> 00:56:08,560 Speaker 1: And I haven't one that kind of can help people 984 00:56:08,600 --> 00:56:11,000 Speaker 1: with anxiety if any of the news is getting too much. 985 00:56:11,120 --> 00:56:13,880 Speaker 1: It's called The Quiet Journeys and Professor Atwood and then 986 00:56:13,920 --> 00:56:16,719 Speaker 1: there's graphic novels and um all sorts of stuff there 987 00:56:16,800 --> 00:56:19,080 Speaker 1: on the website. But you can get everything and subscribe 988 00:56:19,080 --> 00:56:22,319 Speaker 1: to the podcast. They're all free at Whitecat Entertainment dot com. 989 00:56:22,960 --> 00:56:24,919 Speaker 1: And is there a tweet or some of the work 990 00:56:25,000 --> 00:56:27,879 Speaker 1: of social media you've been enjoying? There was, and I've 991 00:56:27,880 --> 00:56:30,160 Speaker 1: seen it a couple of times, and it was right 992 00:56:30,200 --> 00:56:33,360 Speaker 1: after the Roe v. Wade thing got leaked. There was 993 00:56:33,600 --> 00:56:38,600 Speaker 1: an image of a handmade's tale and but her emails 994 00:56:38,880 --> 00:56:43,800 Speaker 1: that was underneath and it was but then it wasn't 995 00:56:43,840 --> 00:56:46,759 Speaker 1: just one. There was like I think ten different variations 996 00:56:46,840 --> 00:56:49,400 Speaker 1: of it. So it like went like everywhere really fast, 997 00:56:49,440 --> 00:56:51,320 Speaker 1: and everyone was creating them, so it was it was 998 00:56:51,400 --> 00:56:55,920 Speaker 1: a kind of a fun thing. Yeah, just ship posting 999 00:56:56,000 --> 00:56:59,640 Speaker 1: through the chaos. That's right, Miles. Where can people find 1000 00:56:59,719 --> 00:57:02,840 Speaker 1: you as tweet you've been enjoying, Oh, let's see. You 1001 00:57:02,960 --> 00:57:07,080 Speaker 1: can find me on Twitter and Instagram at Miles of Gray. 1002 00:57:07,120 --> 00:57:09,080 Speaker 1: You can also check out the other pod for twenty 1003 00:57:09,120 --> 00:57:11,920 Speaker 1: Day Fiance and also if you like basketball, come by 1004 00:57:12,200 --> 00:57:18,480 Speaker 1: check out Miles and Jack got mad, Boostie's talking NBA constantly. Um, 1005 00:57:18,680 --> 00:57:21,600 Speaker 1: let's see, man, there's a lot of good tweets. I 1006 00:57:22,120 --> 00:57:25,560 Speaker 1: have to choose one to okay, um um, okay this one. 1007 00:57:26,040 --> 00:57:28,160 Speaker 1: I got a couple at Very Important because it's Friday. 1008 00:57:28,160 --> 00:57:30,960 Speaker 1: I'm gonna endorsee myself at fried at Very Important, tweeted 1009 00:57:31,040 --> 00:57:35,000 Speaker 1: Zoom psychiatrists, so the medication? Are you still feeling okay 1010 00:57:35,120 --> 00:57:38,400 Speaker 1: on your current dose? Me in other tab typing she 1011 00:57:38,720 --> 00:57:43,680 Speaker 1: so yawned on my Stevens into Twitter. But what yeah, yeah, yeah, 1012 00:57:46,320 --> 00:57:50,800 Speaker 1: um Ayanna Murray I a n a at Ayanna Murray tweeted, 1013 00:57:51,120 --> 00:57:53,800 Speaker 1: watched everything everywhere all at once, and the whole cinema 1014 00:57:53,960 --> 00:57:57,800 Speaker 1: was laughing at the rock scene. Yeah really funny, I thought, 1015 00:57:58,120 --> 00:58:03,880 Speaker 1: as I quietly sobbed that one right through. Yeah, I was. 1016 00:58:04,520 --> 00:58:09,000 Speaker 1: I was like laughing and crying. Yeah, yeah yeah. And 1017 00:58:09,080 --> 00:58:13,680 Speaker 1: then Jordan's Seals uh tweeted at Judy Squirrels, trying to 1018 00:58:13,720 --> 00:58:16,520 Speaker 1: get myself out of bed by repeating, come on, Barbie, 1019 00:58:16,680 --> 00:58:24,200 Speaker 1: let's go party in increasingly strange voices. Uh tweets I've 1020 00:58:24,240 --> 00:58:27,800 Speaker 1: been enjoying. I'm I'm on Twitter at Jack Undersquirrel O'Brien 1021 00:58:28,080 --> 00:58:31,760 Speaker 1: where you can find me enjoying tweets like these. At 1022 00:58:32,120 --> 00:58:35,480 Speaker 1: the fruit Freak tweeted if Bowser kidnapped my wife, I 1023 00:58:35,560 --> 00:58:38,480 Speaker 1: would not be saying wow, no matter how fun the 1024 00:58:38,560 --> 00:58:42,480 Speaker 1: jump was. Um. Then Rosen tweeted, yeah, I like a 1025 00:58:42,640 --> 00:58:45,920 Speaker 1: tent four giving the cash here a twenty for one 1026 00:58:46,000 --> 00:58:51,280 Speaker 1: ticket to more bious, And then Abdullah Elementary School tweeted, 1027 00:58:51,400 --> 00:58:54,600 Speaker 1: every worker deserves an indoor basketball court steps away from 1028 00:58:54,640 --> 00:58:57,440 Speaker 1: their desk, like the NBA on t NT team, and 1029 00:58:58,200 --> 00:59:02,480 Speaker 1: I just think that's true. You can find us on 1030 00:59:02,600 --> 00:59:05,920 Speaker 1: Twitter at Daily Zygeist. We're at the Daily Zygeist on Instagram, 1031 00:59:06,000 --> 00:59:09,320 Speaker 1: we have Facebook fan page and a website, Daily zeitgeist 1032 00:59:09,360 --> 00:59:11,800 Speaker 1: dot com, where we post our episode done our foot notes. 1033 00:59:12,760 --> 00:59:14,560 Speaker 1: We link off to the information that we talked about 1034 00:59:15,280 --> 00:59:17,400 Speaker 1: in today's episode, as well as the song that we 1035 00:59:17,520 --> 00:59:19,640 Speaker 1: think you might enjoy. Miles, what song do we think 1036 00:59:19,680 --> 00:59:21,880 Speaker 1: people might do good? I just stumbled upon a new 1037 00:59:22,000 --> 00:59:27,320 Speaker 1: artist named Curtis Wells Uh describes as a producer, arranger, 1038 00:59:27,400 --> 00:59:33,680 Speaker 1: songwriter and singer Trinidadian Diaspora, United States, transient, Berlin inhabitant 1039 00:59:34,160 --> 00:59:37,520 Speaker 1: and man like this this track. It's called a song 1040 00:59:37,600 --> 00:59:40,240 Speaker 1: about the Sun, and it's if the vibe of it 1041 00:59:40,440 --> 00:59:43,240 Speaker 1: is like if Kevin Parker from Tam and Paulo was black, 1042 00:59:44,400 --> 00:59:47,160 Speaker 1: is like it feels like black Tam Apollo. That's how 1043 00:59:47,480 --> 00:59:50,680 Speaker 1: That's just kind of my first instinct sonically of how 1044 00:59:50,760 --> 00:59:53,240 Speaker 1: I hear it. Not to take anything away from either people, 1045 00:59:53,240 --> 00:59:54,960 Speaker 1: but if you do like that sort of like psyche 1046 00:59:55,760 --> 00:59:58,160 Speaker 1: rock style of Tame Apollo that has like good strong 1047 00:59:58,240 --> 01:00:01,920 Speaker 1: backbeat to it, this is that and like good falsetto vocals. 1048 01:00:02,000 --> 01:00:05,120 Speaker 1: So this is Curtis Wells with a song about the sun. 1049 01:00:05,640 --> 01:00:08,720 Speaker 1: All right, we'll go check that out. The Daily zeit 1050 01:00:08,760 --> 01:00:11,240 Speaker 1: Geis is a production by Heart Radio. For more podcasts 1051 01:00:11,280 --> 01:00:13,880 Speaker 1: from my heart Radio, visit the heart Radio app, Apple podcast, 1052 01:00:14,200 --> 01:00:16,160 Speaker 1: or wherever you're listen to your favorite shows. That's gonna 1053 01:00:16,200 --> 01:00:18,400 Speaker 1: do it for us this morning. But we are back 1054 01:00:18,480 --> 01:00:21,360 Speaker 1: this afternoon to tell you what's trending and we'll talk 1055 01:00:21,400 --> 01:00:25,240 Speaker 1: to you all then. Bye bye. M