1 00:00:00,040 --> 00:00:03,680 Speaker 1: Hello the Internet, and welcome to season one, episode four 2 00:00:03,720 --> 00:00:08,640 Speaker 1: of day production of I Heart Radio. This is a 3 00:00:08,680 --> 00:00:11,320 Speaker 1: podcast where we take a deep dive into America's share 4 00:00:11,360 --> 00:00:15,480 Speaker 1: consciousness and say, officially off the top, fuck the Koch Brothers, 5 00:00:15,560 --> 00:00:21,440 Speaker 1: fuck Fox News, fuck Rush Limbaugh, fuck that Shapiro. Fucker Carlson, 6 00:00:21,840 --> 00:00:27,880 Speaker 1: fuck Fon Dart Yeah, and fuck j k Rowling. It's 7 00:00:27,960 --> 00:00:33,840 Speaker 1: Thursday October. My name is Jack O'Brien a k uga 8 00:00:33,960 --> 00:00:40,000 Speaker 1: shot ugauga uga shot uga. When you hold me with 9 00:00:40,240 --> 00:00:45,080 Speaker 1: your thighs so white, you let me know this Spaha 10 00:00:45,440 --> 00:00:54,080 Speaker 1: not sprite ah funked on Gene Wilder. That is courtesy 11 00:00:54,520 --> 00:01:00,240 Speaker 1: of at Piggy Carnage, Spooky Max. Happy birthday to you, 12 00:01:00,520 --> 00:01:03,720 Speaker 1: and I'm thrilled to be joined as always big my 13 00:01:03,880 --> 00:01:10,720 Speaker 1: co host Mr Miles ground Do Do dood Do doodon. 14 00:01:11,480 --> 00:01:14,600 Speaker 1: Miles is a guy who's always high and Jack is 15 00:01:14,680 --> 00:01:18,720 Speaker 1: known as a sweater one's got big thighs in another cast, 16 00:01:18,800 --> 00:01:22,920 Speaker 1: but they always make me laugh. And no, you can 17 00:01:23,080 --> 00:01:26,880 Speaker 1: fuck Tucker Carlson, No you can fuck the Cooks, and 18 00:01:27,040 --> 00:01:31,000 Speaker 1: no you can fuck Cake Funding. No you can get 19 00:01:31,000 --> 00:01:34,760 Speaker 1: on this smuck No Okay. Shout out to Simone on 20 00:01:34,800 --> 00:01:38,520 Speaker 1: the Discord on the motherfucking a k A title submit, 21 00:01:38,760 --> 00:01:42,240 Speaker 1: Jill specifically shout out to the whole motherfucking Discord channel. 22 00:01:42,240 --> 00:01:44,520 Speaker 1: I sees you, Hannah, I sees you with the with 23 00:01:44,600 --> 00:01:47,160 Speaker 1: the goat a k S. I sees you Mosali with 24 00:01:47,280 --> 00:01:50,040 Speaker 1: the with the nice captions. I sees you toilet bound 25 00:01:50,240 --> 00:01:53,520 Speaker 1: Han nuckle Son, everybody. It's a group effort and it's 26 00:01:53,600 --> 00:01:56,520 Speaker 1: it's a great way to streamline my SOCIALK got the 27 00:01:56,560 --> 00:02:00,800 Speaker 1: whole zoom dancing, everybody dancing. Everybody. Remember look again, like 28 00:02:00,840 --> 00:02:03,000 Speaker 1: I'm saying, we're going back to ninety six. So if 29 00:02:03,040 --> 00:02:04,880 Speaker 1: I was listening to the score yesterday, I guess I'm 30 00:02:04,880 --> 00:02:10,560 Speaker 1: busting out fan Mail after after this, Yeah, yeah, I 31 00:02:10,560 --> 00:02:16,240 Speaker 1: feel like that's fan mail. Wow, you want to feel old? 32 00:02:16,320 --> 00:02:21,000 Speaker 1: It was, Wow, it's fan I'm trying to picture the 33 00:02:21,040 --> 00:02:23,280 Speaker 1: cover of the fan Mail album was. It was like 34 00:02:23,440 --> 00:02:26,480 Speaker 1: gray and spooky and just their faces like this and 35 00:02:26,520 --> 00:02:29,720 Speaker 1: like yeah, but it was like kind of like tech looking. Yeah. 36 00:02:29,880 --> 00:02:36,240 Speaker 1: Yeah it was. Wait, but fan mail is it fan email? Whoa? 37 00:02:37,919 --> 00:02:41,480 Speaker 1: That was back when email was new? Yeah, okay, cool, 38 00:02:41,639 --> 00:02:44,240 Speaker 1: I'm gonna sit and I gonna let that digest. I'm 39 00:02:44,240 --> 00:02:50,440 Speaker 1: gonna go eat some prunes for my digestion to stay regular. Well, 40 00:02:50,480 --> 00:02:54,040 Speaker 1: we are thrilled to be joined in our third seat 41 00:02:54,840 --> 00:03:02,480 Speaker 1: by the hilarious, the talented Beza double. What's up, ma'am? Hi? 42 00:03:02,520 --> 00:03:05,080 Speaker 1: Everybody thinks so much for having me back. It's so 43 00:03:05,160 --> 00:03:07,639 Speaker 1: good to have you back. Man. Let's just get straight 44 00:03:07,680 --> 00:03:11,119 Speaker 1: to it, man, Let's just talk NBA, man, I mean 45 00:03:11,480 --> 00:03:15,520 Speaker 1: every raiders like like like like like skip thirty, skip 46 00:03:15,560 --> 00:03:18,880 Speaker 1: forty sift. Well, we already skipped twenty twenty minutes of 47 00:03:18,880 --> 00:03:23,960 Speaker 1: good NBA content that we didn't record before. Before I 48 00:03:24,000 --> 00:03:27,440 Speaker 1: did this, I did your show years ago. Yeah, it's 49 00:03:27,480 --> 00:03:29,280 Speaker 1: been a while. I don't remember how many, but I 50 00:03:29,280 --> 00:03:31,040 Speaker 1: feel like it was like two or three years ago. 51 00:03:32,360 --> 00:03:35,400 Speaker 1: Hasn't been three quite yet? We're coming up on three 52 00:03:35,680 --> 00:03:37,960 Speaker 1: or did we just damn yo? I think we hit 53 00:03:38,200 --> 00:03:44,120 Speaker 1: the ninth. Wow, congratulations to us that gang. We did it. 54 00:03:44,520 --> 00:03:48,480 Speaker 1: Shout out to third. What's the third anniversary? Uh? Ten, 55 00:03:48,600 --> 00:03:51,640 Speaker 1: don't know? What do you get? Is that digital digital card? 56 00:03:52,240 --> 00:03:56,120 Speaker 1: Because it'll digital get down. But we're very sentimental, as 57 00:03:56,160 --> 00:04:01,280 Speaker 1: you can tell, Bezu anniversary. It's been a minute. But 58 00:04:01,320 --> 00:04:02,880 Speaker 1: what was that? What was what last time? What were 59 00:04:02,880 --> 00:04:06,440 Speaker 1: we talking about last nime? I have no idea, no idea. 60 00:04:06,640 --> 00:04:08,920 Speaker 1: I think we just had a nice, free flowing conversation. 61 00:04:09,520 --> 00:04:14,920 Speaker 1: The Warriors were unbeatable. That then, uh, that's where we 62 00:04:14,920 --> 00:04:18,400 Speaker 1: were at. Everyone's like, how do we play like the Warriors. Actually, 63 00:04:18,400 --> 00:04:21,000 Speaker 1: it's interesting because if it was two thousand sixteen or 64 00:04:21,040 --> 00:04:23,520 Speaker 1: two thousand seventeen, the Warriors has just been beat It 65 00:04:23,640 --> 00:04:25,080 Speaker 1: was two thousand six yeah, I think would have been 66 00:04:25,080 --> 00:04:27,799 Speaker 1: when we started in seventeen, So this is probably eighteen 67 00:04:27,800 --> 00:04:31,240 Speaker 1: because we were Warriors were unbeatable. This was this was 68 00:04:31,400 --> 00:04:35,799 Speaker 1: k D Warriors super team. We were just talking about 69 00:04:36,160 --> 00:04:41,880 Speaker 1: all the bad takes post Lakers Championship, with so many 70 00:04:41,920 --> 00:04:44,400 Speaker 1: bad takes, so many bad takes, like Lebron is not 71 00:04:44,440 --> 00:04:48,000 Speaker 1: the goat the dead dead Spin has an article that's 72 00:04:48,040 --> 00:04:51,880 Speaker 1: like at the top of all those Dennis blugs trending 73 00:04:52,000 --> 00:04:54,120 Speaker 1: right now, like it's at number one on the take 74 00:04:54,160 --> 00:04:58,039 Speaker 1: out and it's like Lebron cheated us all by like 75 00:04:58,120 --> 00:05:01,320 Speaker 1: going all the way back to the decision to like 76 00:05:01,680 --> 00:05:05,839 Speaker 1: the just the idea. They're blaming Lebron for the super team, 77 00:05:06,120 --> 00:05:10,920 Speaker 1: like the transgression exactly, the Lebron is Lebron is Yeah, 78 00:05:10,960 --> 00:05:13,640 Speaker 1: they're just they're like he should have been, Like he 79 00:05:13,680 --> 00:05:16,440 Speaker 1: should have been like Jordan and stayed with Cleveland and 80 00:05:16,480 --> 00:05:18,560 Speaker 1: just gutted it out and like turn that team around. 81 00:05:18,560 --> 00:05:21,400 Speaker 1: It's like, you know, if his GM is not drafting 82 00:05:21,400 --> 00:05:24,440 Speaker 1: Scottie Pippen and Horace Grant, then like he's got to 83 00:05:24,440 --> 00:05:27,640 Speaker 1: make decisions. He's gotta make moves. Also, Jordan was drafted 84 00:05:27,640 --> 00:05:29,920 Speaker 1: to a large market team. Cleveland was not a large 85 00:05:29,920 --> 00:05:32,440 Speaker 1: market team. Lebron made it a large market team. There's 86 00:05:32,480 --> 00:05:34,880 Speaker 1: so much to say. One of the things that bothers 87 00:05:34,920 --> 00:05:41,359 Speaker 1: me though, more than anything, is the idea that Lebron 88 00:05:42,560 --> 00:05:49,640 Speaker 1: Lebron is at fault for the league, Like people say like, 89 00:05:49,640 --> 00:05:51,640 Speaker 1: well there's an asterix now because Lebron one and this 90 00:05:51,720 --> 00:05:55,240 Speaker 1: asterix things bothers me because every single player that played 91 00:05:55,320 --> 00:05:58,599 Speaker 1: had the same situation. Every team had the same situation, 92 00:05:58,839 --> 00:06:01,360 Speaker 1: So how can you put an ass tricks in my opinion? 93 00:06:01,440 --> 00:06:03,880 Speaker 1: And asterix thing is if one team, So if you 94 00:06:04,000 --> 00:06:08,320 Speaker 1: told me the Lakers were quarantined, no other team was 95 00:06:08,400 --> 00:06:11,839 Speaker 1: quarantined because only the Lakers dealt with COVID or something that. 96 00:06:12,000 --> 00:06:14,160 Speaker 1: But like every team had COVID, every team had the 97 00:06:14,200 --> 00:06:16,880 Speaker 1: same circumstance. Every team played in the same gym. Every 98 00:06:16,880 --> 00:06:19,679 Speaker 1: team had the same benefits and losses and pros and cons, 99 00:06:19,760 --> 00:06:23,480 Speaker 1: so like there's no asterix because it was equal for everybody. Yeah, 100 00:06:23,560 --> 00:06:25,360 Speaker 1: and also you were pointing out like he wasn't the 101 00:06:25,400 --> 00:06:28,320 Speaker 1: one who invented the super team, like Boston was already 102 00:06:28,320 --> 00:06:30,520 Speaker 1: doing the super team before him. They had their Big 103 00:06:30,560 --> 00:06:34,840 Speaker 1: Three before Miami had their Big Three. They put an 104 00:06:34,920 --> 00:06:38,599 Speaker 1: end to that Boston Big three ship right quick. He didn't. 105 00:06:38,600 --> 00:06:40,880 Speaker 1: He didn't join the team that was winning championships. He 106 00:06:41,040 --> 00:06:42,760 Speaker 1: joined a team that was like the eight seed the 107 00:06:42,839 --> 00:06:46,600 Speaker 1: year before, right, Yeah, exactly. I think the also those 108 00:06:46,680 --> 00:06:49,080 Speaker 1: takes where it's like he ruined us, I think is 109 00:06:49,120 --> 00:06:52,080 Speaker 1: already an acknowledgment that he's the best, because you're saying 110 00:06:52,120 --> 00:06:55,120 Speaker 1: his gravitational pull is so immense that it it can 111 00:06:55,160 --> 00:06:57,640 Speaker 1: throw things into chaos. It's like being like, I don't 112 00:06:57,680 --> 00:07:00,120 Speaker 1: know why the Sun got to be providing a with 113 00:07:00,160 --> 00:07:03,560 Speaker 1: all the energy really bucked us over, it's bullshit. I 114 00:07:03,640 --> 00:07:06,320 Speaker 1: think the son is bullshits, Like, well, then you acknowledge 115 00:07:06,360 --> 00:07:08,800 Speaker 1: that ship that's it's the sun, you know what I mean. 116 00:07:08,839 --> 00:07:11,720 Speaker 1: It's it's because it affects so many other things. So yeah, 117 00:07:11,840 --> 00:07:14,880 Speaker 1: maybe he did one of the things that I'm like 118 00:07:14,920 --> 00:07:17,040 Speaker 1: the biggest fan of anybody I know. But it's like, 119 00:07:17,280 --> 00:07:21,440 Speaker 1: I love Jordan's. I watched Jordan my entire childhood. I 120 00:07:21,480 --> 00:07:23,640 Speaker 1: wear nothing but Jordan's jerseys and Jordan's sneakers, and I 121 00:07:23,680 --> 00:07:27,440 Speaker 1: still spend way too much money on Jordan's. I love Kobe. 122 00:07:27,480 --> 00:07:29,400 Speaker 1: He's an idol, he has, but he has had more 123 00:07:29,480 --> 00:07:31,240 Speaker 1: of an effect on my life than most humans I 124 00:07:31,280 --> 00:07:34,400 Speaker 1: actually know. And Kobe Bryant has had an effect on 125 00:07:34,440 --> 00:07:36,440 Speaker 1: my life in my mentality way I think about things. 126 00:07:36,800 --> 00:07:39,160 Speaker 1: And then I've spent the last decade of my life 127 00:07:39,800 --> 00:07:45,200 Speaker 1: excited to win money betting on Lebron because everybody I 128 00:07:45,240 --> 00:07:48,640 Speaker 1: love Lebron, And it's like and it's like, it's so 129 00:07:48,960 --> 00:07:53,040 Speaker 1: easy to love all three. Why do people have to like? 130 00:07:53,120 --> 00:07:56,559 Speaker 1: That is exactly right, man, That is exactly how I feel. 131 00:07:56,560 --> 00:07:59,520 Speaker 1: It's so easy to be Like Shack is dope, Lebron 132 00:07:59,640 --> 00:08:03,200 Speaker 1: is dope. Kobe's to watch people take the game to 133 00:08:03,240 --> 00:08:06,240 Speaker 1: a new level, and Lebron is doing ship that like 134 00:08:06,280 --> 00:08:08,840 Speaker 1: people haven't done before. That is the dope that is 135 00:08:08,880 --> 00:08:11,080 Speaker 1: so fun to watch. And there are players that are 136 00:08:11,080 --> 00:08:13,800 Speaker 1: easy to hate, like Paul Pierce. Let's hate on them, 137 00:08:15,880 --> 00:08:18,440 Speaker 1: especially with a hit man. He was salty as fuck 138 00:08:18,920 --> 00:08:21,200 Speaker 1: with his commentary. He shouldn't be allowed to be a 139 00:08:21,240 --> 00:08:24,840 Speaker 1: compensator because Skip Bayliss is getting ridiculous to It's like, 140 00:08:25,280 --> 00:08:30,480 Speaker 1: you guys can't hate this much. Apparently some people can't. Sadly, 141 00:08:30,920 --> 00:08:32,760 Speaker 1: and the Bill Russell we were talking about the Bill 142 00:08:32,840 --> 00:08:36,480 Speaker 1: Russell argument that Bill Russell was the greatest player in 143 00:08:36,520 --> 00:08:38,319 Speaker 1: the history of the game because he had like a 144 00:08:38,400 --> 00:08:43,000 Speaker 1: leven rings and that is you know, he is the 145 00:08:43,040 --> 00:08:46,280 Speaker 1: greatest player of all time for a n b A 146 00:08:46,440 --> 00:08:51,800 Speaker 1: that was the size of a wreck league, um eight teams. Uh. 147 00:08:51,800 --> 00:08:56,120 Speaker 1: He it was at a time when he was both player, 148 00:08:56,600 --> 00:09:04,400 Speaker 1: coach and announcer. He introduced he introduced the Celtics. Uh yeah, 149 00:09:04,400 --> 00:09:07,160 Speaker 1: he did it all. And then Bill russells. Bill Russell's 150 00:09:07,200 --> 00:09:09,400 Speaker 1: a goat for his era, and it's like, I just 151 00:09:09,520 --> 00:09:11,920 Speaker 1: feel that we need to we need to understand this stuff. 152 00:09:12,000 --> 00:09:15,040 Speaker 1: They say, oh, in the nineties, Jordan had a tougher 153 00:09:15,120 --> 00:09:18,000 Speaker 1: league where there were hand checks and and and the 154 00:09:18,040 --> 00:09:20,640 Speaker 1: fouls were harder. That's true, give him that, But if 155 00:09:20,679 --> 00:09:22,800 Speaker 1: you're going to play that argument, then let's go back then. 156 00:09:22,840 --> 00:09:24,880 Speaker 1: We also say, well, there were no zone defenses. Jordan 157 00:09:24,960 --> 00:09:27,920 Speaker 1: was facing single coverage um and then like you know, 158 00:09:28,440 --> 00:09:31,360 Speaker 1: lebron Is is being zone defense to hell, and then 159 00:09:31,360 --> 00:09:33,520 Speaker 1: we can say, okay, Wellby had a little bit of 160 00:09:33,520 --> 00:09:37,480 Speaker 1: both and he still makes it work. So everybody had 161 00:09:37,520 --> 00:09:39,520 Speaker 1: their pros and cons. Also, do you know what Russell 162 00:09:39,520 --> 00:09:44,160 Speaker 1: Westbrook and Damian Lillard would do to John Stockton? Like 163 00:09:44,520 --> 00:09:49,240 Speaker 1: it's it's it's just the idea that like, oh, Jordan 164 00:09:49,320 --> 00:09:52,400 Speaker 1: faced tougher competition. It's like, no, we didn't, No, we 165 00:09:52,480 --> 00:09:56,720 Speaker 1: would twist his ass up. And it's like Clyde Drexler amazing, 166 00:09:56,840 --> 00:09:59,319 Speaker 1: awesome player, one of the greatest of all time and 167 00:09:59,520 --> 00:10:02,040 Speaker 1: for all Stars, right, but like he's not better than 168 00:10:02,320 --> 00:10:07,000 Speaker 1: even DeMar Derozen, He's not better than than Jimmy Butler. 169 00:10:07,000 --> 00:10:09,600 Speaker 1: Do you know what Jimmy Butler would do to Clyde Drexler. 170 00:10:09,640 --> 00:10:13,560 Speaker 1: So it's like, oh, man, Jimmy Butler would hate Clyde Drexler. 171 00:10:13,640 --> 00:10:16,840 Speaker 1: Clyde Drexeler was the always last to show up for practice, 172 00:10:16,880 --> 00:10:22,120 Speaker 1: first to leave. Do you know many people are going 173 00:10:22,160 --> 00:10:26,319 Speaker 1: to come at me? Like Clyde Drexler would destroy these guys. 174 00:10:27,400 --> 00:10:29,839 Speaker 1: He was smooth. I loved his game. He had he 175 00:10:30,000 --> 00:10:33,920 Speaker 1: was DeMar rozen. People have to keep it separate though, right, 176 00:10:33,920 --> 00:10:36,880 Speaker 1: because it's not saying Jimmy Butler is gonna destroy your 177 00:10:36,960 --> 00:10:40,640 Speaker 1: dad after school. It's that in the time, it's not 178 00:10:40,720 --> 00:10:43,280 Speaker 1: it's not worth comparing these things. It's like, well with 179 00:10:43,480 --> 00:10:47,560 Speaker 1: Gengis Khan defeat fucking Schwartz cough in the battlefield, Like, 180 00:10:47,600 --> 00:10:50,280 Speaker 1: I don't know, are they using the same fucking weapons. 181 00:10:50,360 --> 00:10:54,680 Speaker 1: I don't fucking know. Bro, like this greatest of that 182 00:10:55,040 --> 00:10:58,559 Speaker 1: specific era Goat, I guess we should be talking about. 183 00:10:58,920 --> 00:11:01,800 Speaker 1: But it's something scific we do with the NBA because 184 00:11:01,840 --> 00:11:03,760 Speaker 1: I you know, I'm an actor. Can you imagine if 185 00:11:03,800 --> 00:11:07,679 Speaker 1: I was like, yo, Denzel was amazing and you were like, 186 00:11:08,240 --> 00:11:11,920 Speaker 1: fuck Denzel, Tom Hanks is way better, and it's like wait, 187 00:11:11,920 --> 00:11:15,280 Speaker 1: wait what, Like I like them both? You know what 188 00:11:15,360 --> 00:11:17,280 Speaker 1: I mean? We don't do that. We don't make Clark 189 00:11:17,320 --> 00:11:23,040 Speaker 1: Gable the Goat. Oh, Clark Gable never didn't get nominated 190 00:11:23,080 --> 00:11:25,760 Speaker 1: for a movie he was in all. All art is 191 00:11:25,800 --> 00:11:29,560 Speaker 1: built on top of other art. Like you, what Brando 192 00:11:29,720 --> 00:11:34,360 Speaker 1: did was like influential, and people actors like I saw that, 193 00:11:34,520 --> 00:11:37,160 Speaker 1: took it in and digested it and then built their 194 00:11:37,280 --> 00:11:40,040 Speaker 1: art on top of that. And that's the same basketball 195 00:11:40,040 --> 00:11:42,080 Speaker 1: as an art for him and the same ship. You 196 00:11:42,120 --> 00:11:44,720 Speaker 1: can't compare them and be like, well this is better 197 00:11:44,760 --> 00:11:49,239 Speaker 1: than that, because like across it doesn't translate across seasons, 198 00:11:49,320 --> 00:11:53,080 Speaker 1: let alone across areas, because you're like, oh, if John 199 00:11:53,120 --> 00:11:54,960 Speaker 1: Stockton was such a good point guard, how come he 200 00:11:54,960 --> 00:11:59,560 Speaker 1: can't hit the sham god crossover? It Like it's the 201 00:11:59,679 --> 00:12:00,959 Speaker 1: difference it you know what I mean, he didn't know 202 00:12:01,000 --> 00:12:03,880 Speaker 1: everyone was seeing that. And Kobe grew up watching Jordan, 203 00:12:04,000 --> 00:12:06,920 Speaker 1: Lebron grew up watching Jordan and Kobe, and and Zion 204 00:12:06,920 --> 00:12:10,000 Speaker 1: Williamson grew up watching Kobe and Lebron, and like, it's 205 00:12:10,000 --> 00:12:12,559 Speaker 1: just it's just what. It's an evolution of the game. 206 00:12:12,559 --> 00:12:14,200 Speaker 1: And I really wish we could appreciate them all. And 207 00:12:14,200 --> 00:12:17,280 Speaker 1: I feel like so many people, especially the Twitter takes 208 00:12:17,360 --> 00:12:21,800 Speaker 1: is like you're going to be talking to your kid, 209 00:12:22,520 --> 00:12:24,440 Speaker 1: and I feel like you're not gonna be able to 210 00:12:24,480 --> 00:12:27,200 Speaker 1: explain to them the joy Lebron had because you had 211 00:12:27,240 --> 00:12:32,120 Speaker 1: so much you spent ten years hating. Yeah, Like people 212 00:12:32,120 --> 00:12:34,360 Speaker 1: are just I think I think what they're gonna do 213 00:12:34,400 --> 00:12:37,200 Speaker 1: is be like, oh, I love Lebron. I I watched 214 00:12:37,240 --> 00:12:38,920 Speaker 1: them do all this and that like that. I think 215 00:12:38,920 --> 00:12:42,040 Speaker 1: it might change. The narrative might change. Dad tell us 216 00:12:42,040 --> 00:12:48,760 Speaker 1: about how the hell Lebron ruined the league again, have 217 00:12:48,880 --> 00:12:52,160 Speaker 1: hater kids. It's like Karye, I said, you know, yeah, 218 00:12:52,320 --> 00:12:54,520 Speaker 1: I'll be like, you know why the Lakers aren't good anymore. 219 00:12:54,559 --> 00:12:56,559 Speaker 1: We haven't won in seventy years. When they blocked the 220 00:12:56,679 --> 00:13:01,320 Speaker 1: Chris Paul trade, It's like, what you one after that shot? 221 00:13:03,840 --> 00:13:06,400 Speaker 1: I get mad about the Chris Paul trade too. All right, 222 00:13:06,640 --> 00:13:09,960 Speaker 1: I wish we could talk about this, uh the whole time, 223 00:13:10,240 --> 00:13:16,640 Speaker 1: but exactly there's still some ship to um. We're gonna 224 00:13:16,679 --> 00:13:18,599 Speaker 1: talk about what Trump has been up to, just a 225 00:13:19,840 --> 00:13:26,920 Speaker 1: running log of his lagia, his just mouth diarrhea. We're 226 00:13:26,920 --> 00:13:29,640 Speaker 1: gonna talk about the fact that Osama bin Laden is 227 00:13:29,679 --> 00:13:33,480 Speaker 1: still alive. According to a Trump retweet, I have spent 228 00:13:33,600 --> 00:13:36,960 Speaker 1: some time thinking about how Donald can still win this election. 229 00:13:37,679 --> 00:13:40,160 Speaker 1: You know, he tells us what he's gonna do, so 230 00:13:40,320 --> 00:13:43,280 Speaker 1: I feel like this is a likely scenario. I want 231 00:13:43,280 --> 00:13:46,240 Speaker 1: to talk through that. NBC is giving Trump a town 232 00:13:46,280 --> 00:13:50,560 Speaker 1: hall opposite Biden's town hall on ABC, which is a 233 00:13:50,640 --> 00:13:54,840 Speaker 1: real questionable move on NBC's part. Um they like to 234 00:13:54,960 --> 00:13:58,520 Speaker 1: enable him. We will check in with what Beverly Hills 235 00:13:58,720 --> 00:14:01,240 Speaker 1: has to say about how how we should be celebrating 236 00:14:01,240 --> 00:14:05,559 Speaker 1: Halloween this year, all of that plenty more, But first, Basil, 237 00:14:05,600 --> 00:14:07,520 Speaker 1: we like to ask our guests, what is something from 238 00:14:07,520 --> 00:14:10,719 Speaker 1: your search history that is revealing about who you are? 239 00:14:11,559 --> 00:14:15,640 Speaker 1: A friend of mine, who is normally very smart and 240 00:14:15,920 --> 00:14:19,440 Speaker 1: on point, told me something that I didn't fucking buy. 241 00:14:19,560 --> 00:14:22,560 Speaker 1: So then I googled it. M hmm, and it's about 242 00:14:22,640 --> 00:14:28,239 Speaker 1: bin laden is still it's about a cat's me out, okay. 243 00:14:28,600 --> 00:14:31,520 Speaker 1: And I have a cat this year, new in quarantine, 244 00:14:31,560 --> 00:14:33,600 Speaker 1: my first pet of all time, and I like he 245 00:14:33,760 --> 00:14:36,960 Speaker 1: described it like like inventory, I have a cat this year, 246 00:14:37,080 --> 00:14:40,840 Speaker 1: new model. But I mean it's the first pet I've 247 00:14:40,840 --> 00:14:45,080 Speaker 1: ever had in my life ever, not ever, ever, ever, ever, 248 00:14:45,160 --> 00:14:46,720 Speaker 1: Like I grew up, I grew up poor in a 249 00:14:46,760 --> 00:14:49,360 Speaker 1: small apartment. We couldn't have pets, and like I and 250 00:14:49,720 --> 00:14:52,440 Speaker 1: I got this cat a month before quarantine, so who 251 00:14:52,520 --> 00:14:55,240 Speaker 1: knew how benefit it was going to be. But anyway, 252 00:14:55,280 --> 00:14:57,560 Speaker 1: I love her very much. But she said this is 253 00:14:57,560 --> 00:15:01,080 Speaker 1: what she said. She told me that your cat, she said, 254 00:15:01,920 --> 00:15:05,000 Speaker 1: My friend told me that told me that all cats 255 00:15:05,880 --> 00:15:09,320 Speaker 1: they don't mew to each other, They only now to humans. 256 00:15:10,120 --> 00:15:12,800 Speaker 1: And and the only and the wise because they're mimicking 257 00:15:12,840 --> 00:15:16,240 Speaker 1: a baby's cry. I have heard that as well. Okay, 258 00:15:16,360 --> 00:15:19,680 Speaker 1: here's what But my response to that was, I got 259 00:15:19,720 --> 00:15:22,800 Speaker 1: my cat as like really like a couple of days 260 00:15:22,840 --> 00:15:25,640 Speaker 1: after being born at a shelter and taken straight home 261 00:15:25,720 --> 00:15:28,120 Speaker 1: to a home where I live alone. My cat has 262 00:15:28,200 --> 00:15:32,000 Speaker 1: never heard a baby's cry. So how could my cat 263 00:15:32,080 --> 00:15:34,800 Speaker 1: be mewing mimicking a baby's cry if my cat never 264 00:15:34,800 --> 00:15:38,760 Speaker 1: heard a baby's cry? So I googled it. Right, there 265 00:15:39,000 --> 00:15:44,400 Speaker 1: is a lot of dissenting opinion about about the evolutionary 266 00:15:44,440 --> 00:15:48,920 Speaker 1: biology of how the was incepted into the cat. And 267 00:15:49,000 --> 00:15:50,600 Speaker 1: if you think I had spend about two and a 268 00:15:50,640 --> 00:15:55,560 Speaker 1: half hours, yeah I had. The way I had heard 269 00:15:55,600 --> 00:15:59,120 Speaker 1: it is that it just evolved that way. So like 270 00:16:00,480 --> 00:16:04,560 Speaker 1: just like all you know, random chance, uh kitten, Like 271 00:16:04,640 --> 00:16:07,880 Speaker 1: the kittens that got picked up and kept by humans 272 00:16:07,880 --> 00:16:11,760 Speaker 1: were the ones whose cries like tapped into that short 273 00:16:11,840 --> 00:16:15,440 Speaker 1: circuit in our brain that is designed to respond to 274 00:16:15,680 --> 00:16:18,160 Speaker 1: babies cry. So it's not that the cat is like 275 00:16:18,240 --> 00:16:20,560 Speaker 1: doing an impression of a baby, it's just that they're 276 00:16:20,880 --> 00:16:25,920 Speaker 1: meal happened to have evolved that way specifically because we 277 00:16:26,080 --> 00:16:30,960 Speaker 1: favored the ones who could meal meal explaining to us, Now, 278 00:16:32,280 --> 00:16:34,480 Speaker 1: my I have a cat. I have two cats. One 279 00:16:34,520 --> 00:16:38,760 Speaker 1: of them straight up screams at night, just go yeah, 280 00:16:38,880 --> 00:16:40,720 Speaker 1: like it's just like it's not It's to the point 281 00:16:40,760 --> 00:16:43,560 Speaker 1: where I'm like, motherfucker, have you even heard another cat? 282 00:16:43,680 --> 00:16:48,200 Speaker 1: Like what is this? Because sometimes I have been worried 283 00:16:48,240 --> 00:16:52,520 Speaker 1: because it's like, fun, is the cat sick or something? 284 00:16:52,600 --> 00:16:55,520 Speaker 1: Go outside and it's just chilling and it's screen. It's 285 00:16:55,560 --> 00:16:58,040 Speaker 1: like one of her Majesty's hair ties will be on 286 00:16:58,080 --> 00:17:00,240 Speaker 1: the ground and it's just yelling at a hair tie 287 00:17:00,280 --> 00:17:02,680 Speaker 1: on the ground. Yeah, And I'm like, yo, this is 288 00:17:02,720 --> 00:17:04,760 Speaker 1: too much. So for a second when you said that, 289 00:17:04,800 --> 00:17:07,159 Speaker 1: I was like, oh, no, has this been something going 290 00:17:07,200 --> 00:17:08,639 Speaker 1: on with the hair tie the cats trying to tell 291 00:17:08,680 --> 00:17:10,160 Speaker 1: me about But I'm like, no, this cat is doing 292 00:17:10,200 --> 00:17:12,040 Speaker 1: its own thing. Is just having a conversation with this 293 00:17:12,080 --> 00:17:18,400 Speaker 1: elastic circle. That's amazing. Yeah, animal noises are some animals 294 00:17:18,400 --> 00:17:20,960 Speaker 1: don't know how to sound like they're supposed to. Yeah, 295 00:17:21,000 --> 00:17:23,639 Speaker 1: my cats are there, and they like they get a 296 00:17:23,720 --> 00:17:26,720 Speaker 1: one out of ten on their yeo impersonations because they're 297 00:17:26,720 --> 00:17:31,040 Speaker 1: like it sounds like there's going like so it's I'm 298 00:17:31,080 --> 00:17:33,679 Speaker 1: like Okay, I guess we're talking. My cat is very 299 00:17:33,800 --> 00:17:37,360 Speaker 1: vocal um, but she's so adorable when she knows she's 300 00:17:37,359 --> 00:17:39,560 Speaker 1: about to get fed because she sees me open the 301 00:17:40,160 --> 00:17:44,359 Speaker 1: door where the food is. Time. It's a NonStop until 302 00:17:44,400 --> 00:17:52,639 Speaker 1: the food is in her mouth. Yewww. Yeah boy. She 303 00:17:52,760 --> 00:17:56,080 Speaker 1: has been the only real true joy in my life. Uh, 304 00:17:56,160 --> 00:17:59,199 Speaker 1: during this quarantine, I live alone and I'm single, and 305 00:17:59,240 --> 00:18:02,840 Speaker 1: so it's like this is a lonely last year. Um, 306 00:18:02,880 --> 00:18:06,119 Speaker 1: so me and my cats have gotten and this is 307 00:18:06,200 --> 00:18:14,760 Speaker 1: my voice to Harry right now, Yeah we do. What 308 00:18:14,880 --> 00:18:17,679 Speaker 1: is something you think is underrated? Oh? I have a 309 00:18:17,680 --> 00:18:21,720 Speaker 1: good one of these two? Okay, underrated. Oh I'm gonna lose. 310 00:18:21,840 --> 00:18:23,639 Speaker 1: Oh god, I've already lost people in the basketball. I'm 311 00:18:23,640 --> 00:18:27,560 Speaker 1: gonna lose people on this. I think that Dave Matthews 312 00:18:27,560 --> 00:18:33,840 Speaker 1: band has become underrated because because I know the face 313 00:18:33,400 --> 00:18:37,760 Speaker 1: the face take. I love this take. So I grew 314 00:18:37,840 --> 00:18:40,520 Speaker 1: up like everybody else my age in upstate New York 315 00:18:40,600 --> 00:18:45,080 Speaker 1: or I guess the whole country love New York. Do 316 00:18:45,119 --> 00:18:48,960 Speaker 1: you hear me loving Dave Matthews Band, And then all 317 00:18:49,000 --> 00:18:50,639 Speaker 1: of a sudden, I get to college and I like 318 00:18:50,840 --> 00:18:53,560 Speaker 1: learned that it was like lame to love Dave Matthews 319 00:18:53,560 --> 00:18:57,560 Speaker 1: Band and like that they you know that they're I 320 00:18:57,560 --> 00:18:59,920 Speaker 1: guess dorky or something. I don't know, Like the fan 321 00:19:00,119 --> 00:19:02,320 Speaker 1: sucks so much that like their music sucks, and then 322 00:19:02,359 --> 00:19:07,680 Speaker 1: I'm like, wait a minute, they're really good. Uh. Carter 323 00:19:07,720 --> 00:19:10,280 Speaker 1: Buford is one of the best drummers of all time, 324 00:19:10,560 --> 00:19:14,120 Speaker 1: widely regarded as such by other drummers, and like their 325 00:19:14,240 --> 00:19:17,879 Speaker 1: musicianship is solid and they've now become underrated. Like now 326 00:19:17,920 --> 00:19:19,960 Speaker 1: I'm afraid to say I'm listening to the Dave album, 327 00:19:20,040 --> 00:19:23,359 Speaker 1: but like Crash is a perfect album, so get off me. 328 00:19:23,760 --> 00:19:26,720 Speaker 1: Fuck yeah, dude, I love it, man, Dude, that's the take. 329 00:19:26,920 --> 00:19:30,800 Speaker 1: Crashes a perfect album. Come fight me. It kind of is. 330 00:19:31,480 --> 00:19:35,359 Speaker 1: I don't know all their albums, but I've I haven't 331 00:19:35,400 --> 00:19:40,440 Speaker 1: revisited Dave since I went through that like transition where 332 00:19:40,480 --> 00:19:42,359 Speaker 1: I was like, yeah, no, I never liked that ship 333 00:19:42,560 --> 00:19:45,639 Speaker 1: that that was that was whack and like hid my 334 00:19:45,680 --> 00:19:49,880 Speaker 1: Puka shell necklace behind my back in in my trashman 335 00:19:49,920 --> 00:19:54,840 Speaker 1: year dorm. But that like, there's gotta be something to 336 00:19:55,720 --> 00:19:59,560 Speaker 1: how much I loved that. Like Live at the Red Rocks, 337 00:19:59,640 --> 00:20:04,640 Speaker 1: Oh god, that was months in Central Park is great. 338 00:20:04,640 --> 00:20:06,639 Speaker 1: And I'm like, I love Dave and then the my 339 00:20:06,720 --> 00:20:10,080 Speaker 1: ability to throw them away when everybody thought that they 340 00:20:10,080 --> 00:20:11,399 Speaker 1: were not cool. I was like, oh yeah, I'd never 341 00:20:11,440 --> 00:20:14,199 Speaker 1: listened to Dave. No, I didn't go to the concert. 342 00:20:14,240 --> 00:20:16,280 Speaker 1: I got one of those playlists that like, you'll always 343 00:20:16,320 --> 00:20:19,680 Speaker 1: listen to, uh fucking so much to say, it will 344 00:20:19,720 --> 00:20:26,199 Speaker 1: always be the fills in that Carter Buford's fills on 345 00:20:26,240 --> 00:20:31,840 Speaker 1: that check. You guys are some Carter Bauford is an 346 00:20:31,880 --> 00:20:34,920 Speaker 1: incredible drum He's in he does one of these things 347 00:20:34,960 --> 00:20:37,240 Speaker 1: that's so wild. You know, most drummers have four surfaces 348 00:20:37,320 --> 00:20:39,800 Speaker 1: because they have their two feet and then they have 349 00:20:39,840 --> 00:20:45,840 Speaker 1: their two sticks, but Carter has seven because he plays 350 00:20:45,840 --> 00:20:49,879 Speaker 1: with his dick I heard, because his left foot he 351 00:20:49,960 --> 00:20:51,960 Speaker 1: does he does a toe on the high hat, but 352 00:20:51,960 --> 00:20:55,359 Speaker 1: he has a heel on something else, so that's three. 353 00:20:55,560 --> 00:20:58,639 Speaker 1: And then for his hands sometimes he puts his he 354 00:20:58,720 --> 00:21:00,359 Speaker 1: puts the hands in the middle of this stick and 355 00:21:00,359 --> 00:21:03,760 Speaker 1: he uses both ends. So it's like numb chucks almost 356 00:21:05,440 --> 00:21:07,159 Speaker 1: when you can get that on high hat, because you 357 00:21:07,160 --> 00:21:10,159 Speaker 1: see some people who can go nasty sixteenths on a 358 00:21:10,240 --> 00:21:12,919 Speaker 1: high hat by like middles from that midstick grip. I 359 00:21:12,920 --> 00:21:15,639 Speaker 1: mean you know, salute the rummers out there. So anyway, 360 00:21:15,680 --> 00:21:17,880 Speaker 1: So anyway, I'm here to say now that I'm old 361 00:21:17,960 --> 00:21:19,399 Speaker 1: enough that I don't care what you think about what 362 00:21:19,480 --> 00:21:22,240 Speaker 1: I like. I love Dave Matthews bad and they're underrated. 363 00:21:22,280 --> 00:21:25,560 Speaker 1: Now hell yeah at the streets with your crash t 364 00:21:25,680 --> 00:21:27,879 Speaker 1: shirt on and like gen Z tear you two bits 365 00:21:27,880 --> 00:21:32,240 Speaker 1: in the streets. It's interesting to I forget where I 366 00:21:32,280 --> 00:21:35,000 Speaker 1: was reading or listen to a podcast that was like 367 00:21:35,040 --> 00:21:39,359 Speaker 1: all about drummers and how they're like the goalies of 368 00:21:39,720 --> 00:21:42,280 Speaker 1: the of bands where there's just like they're just like 369 00:21:42,320 --> 00:21:45,760 Speaker 1: slightly off and everybody in the band is just like, yeah, no, 370 00:21:45,840 --> 00:21:48,600 Speaker 1: they're like almost a different species of human, Like their 371 00:21:48,640 --> 00:21:52,640 Speaker 1: brain just like works slightly different, Like really great drummers 372 00:21:52,680 --> 00:21:57,800 Speaker 1: just like processed time differently than the rest of us. Um. Yeah, 373 00:21:57,840 --> 00:22:00,720 Speaker 1: but that's I mean, that's wild. Like the thing describing 374 00:22:00,800 --> 00:22:05,679 Speaker 1: about Carter Buford, like that ship it seems impossible to me, 375 00:22:05,840 --> 00:22:07,679 Speaker 1: like that seems like you would need a machine to 376 00:22:07,760 --> 00:22:10,000 Speaker 1: do that. Yeah, you listen to some songs and I'm like, 377 00:22:10,040 --> 00:22:14,320 Speaker 1: this has to be three drummers, right, what is something 378 00:22:14,359 --> 00:22:19,480 Speaker 1: you think is overrated? All right? I feel strongly about this. 379 00:22:19,480 --> 00:22:21,399 Speaker 1: This is before Corona when we can go to the movies, 380 00:22:22,760 --> 00:22:27,159 Speaker 1: three D movies over In fact, when I go to 381 00:22:27,200 --> 00:22:29,159 Speaker 1: the movies with a group of friends and they're like, 382 00:22:29,160 --> 00:22:30,399 Speaker 1: we're going to the three D one, I'm like, I 383 00:22:30,440 --> 00:22:31,639 Speaker 1: don't even know if I really want to go. I'd 384 00:22:31,720 --> 00:22:36,200 Speaker 1: rather go to the standard one HD great IMAX, great 385 00:22:36,320 --> 00:22:38,520 Speaker 1: love and Imax movie. But if I got to put 386 00:22:38,560 --> 00:22:42,239 Speaker 1: the glasses on for the three D, I don't. It 387 00:22:42,280 --> 00:22:46,440 Speaker 1: doesn't enhance the experience for me. It's like it sort 388 00:22:46,480 --> 00:22:49,000 Speaker 1: of just looks tacky, takes me out of the film. 389 00:22:49,040 --> 00:22:51,200 Speaker 1: I'm like, oh, yeah, I'm watching a movie now, and 390 00:22:51,640 --> 00:22:53,600 Speaker 1: sometimes gives me a headache. So I think, like the 391 00:22:53,960 --> 00:22:57,560 Speaker 1: Where the Glass Is three D thing overrated? Okay, I 392 00:22:57,600 --> 00:23:00,879 Speaker 1: mean what was the I feel like because is Avatar 393 00:23:01,400 --> 00:23:04,560 Speaker 1: was such a vibe for people, it fucked up the 394 00:23:04,560 --> 00:23:07,040 Speaker 1: whole market after that, because they're like, you know what, dude, 395 00:23:07,040 --> 00:23:09,040 Speaker 1: if we just say some ship's three D, they're gonna 396 00:23:09,119 --> 00:23:11,840 Speaker 1: watch this Percy Jackson, bullshit. I don't give a fun 397 00:23:12,000 --> 00:23:13,720 Speaker 1: just say it's three D and if you have to 398 00:23:13,720 --> 00:23:17,000 Speaker 1: do it in post, fuck it. Um. But yeah, it 399 00:23:17,119 --> 00:23:19,560 Speaker 1: really did. I think I only saw one other three 400 00:23:19,640 --> 00:23:22,840 Speaker 1: D film after Avatar and it didn't even come close. 401 00:23:22,920 --> 00:23:26,080 Speaker 1: And I was like, this is sometimes I want to 402 00:23:26,080 --> 00:23:28,240 Speaker 1: go to a movie and the only available screening was 403 00:23:28,280 --> 00:23:30,719 Speaker 1: the three D R Yeah, so then you're like, you know, 404 00:23:30,720 --> 00:23:32,800 Speaker 1: you're watching Spiderman in three D or something, and then 405 00:23:32,800 --> 00:23:36,639 Speaker 1: I'm like, I paid extra for this because it's supposed 406 00:23:36,640 --> 00:23:39,240 Speaker 1: to be quote unquote a better experience and it's the 407 00:23:39,280 --> 00:23:41,800 Speaker 1: worst experience. But that is I felt like at one point, 408 00:23:41,800 --> 00:23:43,040 Speaker 1: I mean, I'm making this up, but I felt like, 409 00:23:43,080 --> 00:23:45,520 Speaker 1: at one point, you know, period dramas were in three D. 410 00:23:45,600 --> 00:23:48,280 Speaker 1: It was like uncut gems in three DS, and I'm like, 411 00:23:48,400 --> 00:23:50,680 Speaker 1: what am I watching Adam Sanders scream at me in 412 00:23:50,720 --> 00:23:54,720 Speaker 1: three D? Four Hugo was I feel like Avatar and 413 00:23:54,800 --> 00:24:00,000 Speaker 1: Hugo were both like pretty great three D experiences from 414 00:24:00,240 --> 00:24:04,600 Speaker 1: like I really both of those theater and then and 415 00:24:04,640 --> 00:24:08,000 Speaker 1: then everything else has been garbage and it's it's it's 416 00:24:08,040 --> 00:24:11,720 Speaker 1: really weird. It's like why they just didn't learn the 417 00:24:11,800 --> 00:24:14,960 Speaker 1: lessons or they didn't pay attention to I guess you 418 00:24:15,040 --> 00:24:19,160 Speaker 1: just need so many different things operating together to pull 419 00:24:19,240 --> 00:24:24,920 Speaker 1: off like a like artistry in three D, because like, yeah, 420 00:24:25,000 --> 00:24:30,560 Speaker 1: James Cameron spent all the money on Avatar and then Hugo. 421 00:24:30,680 --> 00:24:33,919 Speaker 1: You have Martin Scorsese, but like you need an artist 422 00:24:33,960 --> 00:24:37,200 Speaker 1: who is like at the center and like has enough 423 00:24:37,240 --> 00:24:41,879 Speaker 1: gravitational pool to make everybody, like, you know, invest in 424 00:24:41,920 --> 00:24:45,359 Speaker 1: that idea. It can't just be like hacked together after 425 00:24:45,400 --> 00:24:48,600 Speaker 1: the fact, like a lot of the three D like 426 00:24:48,640 --> 00:24:50,800 Speaker 1: basically every other three D I don't think there's been 427 00:24:50,800 --> 00:24:54,560 Speaker 1: another good three D experience than most after Corona. If 428 00:24:54,560 --> 00:24:56,320 Speaker 1: you can get people excited to go back to the 429 00:24:56,359 --> 00:24:58,800 Speaker 1: movie theater again, and they get people they get excited 430 00:24:58,800 --> 00:25:00,680 Speaker 1: about going back to a packed mo the theater again, 431 00:25:00,920 --> 00:25:03,080 Speaker 1: you now also have to get people excited to wear 432 00:25:03,520 --> 00:25:09,119 Speaker 1: glasses that thousands of strangers have also previously worn. So 433 00:25:09,640 --> 00:25:11,040 Speaker 1: I don't I don't know how we're gonna do the 434 00:25:11,080 --> 00:25:13,680 Speaker 1: three D glasses experience. It's gonna be like a bring 435 00:25:13,680 --> 00:25:16,880 Speaker 1: your own type thing thing. It's like, all right, well, 436 00:25:16,880 --> 00:25:19,119 Speaker 1: look we're adding fifteen bucks to the cost of the ticket, 437 00:25:19,160 --> 00:25:24,720 Speaker 1: but now you own them, and yeah, all right, before 438 00:25:24,720 --> 00:25:26,800 Speaker 1: we get to your myth, let's take a quick break 439 00:25:26,880 --> 00:25:42,159 Speaker 1: and we'll be right back. And we're back, and based 440 00:25:42,160 --> 00:25:44,760 Speaker 1: on what is a myth? What's something people think it's true? 441 00:25:44,840 --> 00:25:49,800 Speaker 1: You know, to be false. I think that there's a 442 00:25:49,880 --> 00:25:54,199 Speaker 1: myth of the liberal bubble because you know, people talk about, like, 443 00:25:54,280 --> 00:25:56,280 Speaker 1: especially in politics now, it's like, well, you guys in 444 00:25:56,320 --> 00:25:59,040 Speaker 1: your bubble, your elitist bubbles, your liberal bubbles, and I 445 00:25:59,400 --> 00:26:02,200 Speaker 1: just I'm starting to like reject that, and I feel 446 00:26:02,240 --> 00:26:04,840 Speaker 1: like I once believed it. But what does that mean? 447 00:26:04,960 --> 00:26:07,919 Speaker 1: The liberals that I know, the progressives that I've been 448 00:26:07,920 --> 00:26:10,720 Speaker 1: around my entire life, raised in a progressive household from 449 00:26:10,720 --> 00:26:14,600 Speaker 1: a activist family, and then you know, went to a 450 00:26:14,720 --> 00:26:17,520 Speaker 1: progressive school in a progressive city and blah blah, blah blah. 451 00:26:17,520 --> 00:26:20,600 Speaker 1: So I've been in the most quote unquote liberal bubble 452 00:26:20,680 --> 00:26:22,920 Speaker 1: places of a person could be in. But that means 453 00:26:22,960 --> 00:26:25,719 Speaker 1: that I learn about other people, visit other places, travel 454 00:26:25,760 --> 00:26:29,560 Speaker 1: all the time, um, and in diverse cities, meeting diverse 455 00:26:29,640 --> 00:26:33,560 Speaker 1: people in diverse populations. Um. I've lived in New York, Chicago, 456 00:26:33,640 --> 00:26:37,760 Speaker 1: Los Angeles, born in Boston. I I am constantly traveling, 457 00:26:37,800 --> 00:26:40,439 Speaker 1: We're constantly reading and constantly learning about other people and 458 00:26:40,480 --> 00:26:43,000 Speaker 1: meeting different walks of life from different economic, economic and 459 00:26:43,040 --> 00:26:46,639 Speaker 1: socio economic backgrounds. It's the other people that are in 460 00:26:46,720 --> 00:26:50,920 Speaker 1: the bubble, ones who don't leave their town don't learn 461 00:26:50,920 --> 00:26:57,040 Speaker 1: about others in a very homogeneous white, socio economic predominantly 462 00:26:57,800 --> 00:27:03,320 Speaker 1: UH Anglican, Like that's the bubble, right. I reject that 463 00:27:03,359 --> 00:27:06,320 Speaker 1: we're in a bubble. I propose that they're in a bubble, right. 464 00:27:06,359 --> 00:27:08,800 Speaker 1: I mean, like the media bubble for sure is real. 465 00:27:08,880 --> 00:27:11,360 Speaker 1: But I think yet to your point of like, experientially, 466 00:27:11,920 --> 00:27:15,480 Speaker 1: there likely your likelihood of being exposed to like many 467 00:27:15,520 --> 00:27:18,880 Speaker 1: different people and cultures and then still being very conservative, 468 00:27:19,640 --> 00:27:21,640 Speaker 1: I think it's like, you know, the chances go down 469 00:27:21,640 --> 00:27:24,040 Speaker 1: a bit. But there's something about like I forgot. I 470 00:27:24,080 --> 00:27:25,560 Speaker 1: was talking about Dad, and he was talking about like 471 00:27:25,560 --> 00:27:28,840 Speaker 1: a very interesting point about how you know that life 472 00:27:28,880 --> 00:27:33,399 Speaker 1: is all about change and the most people don't like change, 473 00:27:33,400 --> 00:27:37,119 Speaker 1: but the constant changing of things is actually what life is. 474 00:27:37,160 --> 00:27:39,880 Speaker 1: It's the beginnings and endings of things. That's how we 475 00:27:40,000 --> 00:27:43,760 Speaker 1: perceive life. And for people who are open to these 476 00:27:43,800 --> 00:27:46,159 Speaker 1: newer things are open to life because they're open to 477 00:27:46,320 --> 00:27:51,000 Speaker 1: change or things evolving, whereas conservatives are absolutely against this, 478 00:27:51,119 --> 00:27:54,359 Speaker 1: like evolving, like they're sort of stagnant in this place 479 00:27:54,400 --> 00:27:58,360 Speaker 1: where at their own perildic it's like fucking preserved everything 480 00:27:58,440 --> 00:28:00,800 Speaker 1: as it was from this moment and put a fucking 481 00:28:00,960 --> 00:28:04,640 Speaker 1: you know, just time capsule where that nothing can get 482 00:28:04,680 --> 00:28:07,760 Speaker 1: to and that you're also seeing how that's like, what 483 00:28:07,840 --> 00:28:10,560 Speaker 1: that looks like too. So yeah, in that sense, yeah, 484 00:28:10,560 --> 00:28:12,960 Speaker 1: that bubble is sort of about being in this very 485 00:28:13,040 --> 00:28:17,359 Speaker 1: protected world where nothing that you thought it was challenged 486 00:28:17,480 --> 00:28:19,879 Speaker 1: and you can go on thinking that everything up to 487 00:28:19,920 --> 00:28:22,400 Speaker 1: this point is fine status quo. Yeah. I mean there's 488 00:28:22,400 --> 00:28:24,680 Speaker 1: a great thinker writer named a at Uktar. He wrote 489 00:28:24,720 --> 00:28:27,520 Speaker 1: a book called Homeland Alergies. It just came out recently, um, 490 00:28:27,560 --> 00:28:30,320 Speaker 1: and he wrote a play where he talks about conservatives 491 00:28:30,400 --> 00:28:32,760 Speaker 1: very similar to what you said that they want to 492 00:28:33,000 --> 00:28:35,080 Speaker 1: they want they want to go back to sort of 493 00:28:35,119 --> 00:28:37,760 Speaker 1: the time that things were written, and a lot of 494 00:28:37,760 --> 00:28:41,480 Speaker 1: times they're religious. But it's confusing because the Bible was 495 00:28:41,520 --> 00:28:46,240 Speaker 1: written by desert people who lived in a desert where 496 00:28:46,280 --> 00:28:49,560 Speaker 1: life was hard and relentless and something to be suffered through. 497 00:28:50,120 --> 00:28:53,080 Speaker 1: And if they want to go back, but they don't 498 00:28:53,080 --> 00:28:54,960 Speaker 1: want to go back so far that we cut off 499 00:28:55,000 --> 00:28:57,560 Speaker 1: the hands of thieves and kill the unbelievers and stone 500 00:28:57,600 --> 00:28:59,920 Speaker 1: wives and and do things like that. So it's it's 501 00:29:00,320 --> 00:29:05,320 Speaker 1: how they pick and choose, right, is very confusing, uh 502 00:29:05,640 --> 00:29:08,320 Speaker 1: to me. But they pick and choose to suit themselves, 503 00:29:08,600 --> 00:29:12,520 Speaker 1: and they also define or design a version of the 504 00:29:12,560 --> 00:29:17,440 Speaker 1: past that suits themselves and that never really existed. Um 505 00:29:17,480 --> 00:29:21,120 Speaker 1: you know, they they Fox News is created and the 506 00:29:21,200 --> 00:29:24,160 Speaker 1: mega movement has created a version of the fifties that 507 00:29:24,440 --> 00:29:27,040 Speaker 1: didn't actually exist. I would agree with you that my 508 00:29:27,280 --> 00:29:33,200 Speaker 1: I guess my social media feed is a bubble. Yeah, 509 00:29:31,360 --> 00:29:35,320 Speaker 1: I mean yeah, But I think it's about whether or 510 00:29:35,320 --> 00:29:37,120 Speaker 1: not you have the awareness around that of like whether 511 00:29:37,200 --> 00:29:39,120 Speaker 1: or not people Most people don't have the awareness. I 512 00:29:39,200 --> 00:29:41,200 Speaker 1: think like they're probably only getting their note news from 513 00:29:41,240 --> 00:29:45,160 Speaker 1: like one source typically or two typically and sort of 514 00:29:45,240 --> 00:29:47,360 Speaker 1: just always say like that's it. I don't need to 515 00:29:47,360 --> 00:29:50,280 Speaker 1: look much further than how I'm reading this reporting on 516 00:29:50,320 --> 00:29:54,360 Speaker 1: a certain event versus like constantly maybe pursuing as many 517 00:29:54,440 --> 00:29:57,600 Speaker 1: different angles on something. Because I think a lot of 518 00:29:57,640 --> 00:30:01,800 Speaker 1: the time, you know, our media diets help, they soothe 519 00:30:01,880 --> 00:30:03,479 Speaker 1: us a lot of the time. To like that if 520 00:30:03,480 --> 00:30:06,480 Speaker 1: you're conservative, like you want to hear about liberals getting pooned, 521 00:30:06,880 --> 00:30:09,200 Speaker 1: so you can just be like, oh, good, good, thank God, 522 00:30:09,280 --> 00:30:12,360 Speaker 1: Like they're getting pooned and they're crying because they're getting brutalized, 523 00:30:12,400 --> 00:30:15,160 Speaker 1: and then for other people it's like, yes, Trump's getting 524 00:30:15,160 --> 00:30:18,240 Speaker 1: smashed in the polls or whatever, without really even or 525 00:30:18,440 --> 00:30:22,960 Speaker 1: certain aspects about how his presidency is like unraveling, without 526 00:30:23,040 --> 00:30:25,520 Speaker 1: taking a second to be like, Okay, yes, that is 527 00:30:25,600 --> 00:30:29,360 Speaker 1: one version of this story. There's also another there's another 528 00:30:29,400 --> 00:30:32,440 Speaker 1: reality where like reading these things too can also have 529 00:30:32,560 --> 00:30:35,400 Speaker 1: an effect where it's I'm beginning to I don't know, 530 00:30:35,960 --> 00:30:39,360 Speaker 1: it's it's more the risk of losing sight of like 531 00:30:39,440 --> 00:30:42,880 Speaker 1: maybe how um severe certain issues are based on how 532 00:30:42,880 --> 00:30:45,240 Speaker 1: like reporting is given to you and like your media diet. 533 00:30:45,240 --> 00:30:47,160 Speaker 1: But yeah, at the end of the day, I think 534 00:30:47,160 --> 00:30:50,160 Speaker 1: it's I think empathy is really the great divider is 535 00:30:50,480 --> 00:30:53,400 Speaker 1: whether or not you can look at someone who might 536 00:30:53,440 --> 00:30:55,680 Speaker 1: be in a different world than you and for a 537 00:30:55,680 --> 00:30:58,040 Speaker 1: moment be like, yeah, that could be different, that might 538 00:30:58,080 --> 00:31:00,120 Speaker 1: be a different experience, rather than being like, I know 539 00:31:00,200 --> 00:31:02,400 Speaker 1: what it's like to live in San Francisco and the 540 00:31:02,480 --> 00:31:05,800 Speaker 1: homeless people are shooting Heroin into their raised and their 541 00:31:05,800 --> 00:31:08,800 Speaker 1: scooters and they're going off the Golden Gate Bridge with 542 00:31:08,960 --> 00:31:10,960 Speaker 1: you know, the hippie it's like or you you know, 543 00:31:11,040 --> 00:31:13,320 Speaker 1: you land in Chicago at O'Hara and you gotta start 544 00:31:13,360 --> 00:31:17,360 Speaker 1: dodging bullets because everyone shooting everybody in this criminal place. 545 00:31:17,560 --> 00:31:19,440 Speaker 1: You know. I started thinking about this more though, because 546 00:31:19,440 --> 00:31:21,360 Speaker 1: a lot of the activism work I do is is 547 00:31:21,440 --> 00:31:26,360 Speaker 1: around representation and and and and how people of color 548 00:31:26,480 --> 00:31:28,480 Speaker 1: or party are portrayed in the media and the lack 549 00:31:28,560 --> 00:31:31,560 Speaker 1: of opportunities. And one of the studies is the USC 550 00:31:31,640 --> 00:31:34,320 Speaker 1: Annenberg study that came out a few years ago, and 551 00:31:34,360 --> 00:31:37,880 Speaker 1: it said that um Manasa people in Manasa is Middle 552 00:31:37,880 --> 00:31:41,000 Speaker 1: Eastern North African South Asian people, right, so basically brown 553 00:31:41,160 --> 00:31:45,960 Speaker 1: people of the Middle East and South Asia. We're twenty 554 00:31:46,000 --> 00:31:51,400 Speaker 1: two series regulars on television out of two thousand series regulars, Okay, 555 00:31:51,400 --> 00:31:55,960 Speaker 1: so about one percent. And of those twenty two, seventeen 556 00:31:56,080 --> 00:32:01,520 Speaker 1: of them were threats. Wow, they were threatening characters. So 557 00:32:02,680 --> 00:32:06,760 Speaker 1: it also said that most people in America don't have 558 00:32:06,840 --> 00:32:11,400 Speaker 1: a friend outside of their race. And so when you 559 00:32:11,520 --> 00:32:14,320 Speaker 1: when I hear that, it's so mind boggling to me 560 00:32:14,360 --> 00:32:17,640 Speaker 1: because in my quote unquote bubble, I have friends of 561 00:32:17,680 --> 00:32:21,720 Speaker 1: all races and all genders and all you know, orientations, 562 00:32:22,120 --> 00:32:23,960 Speaker 1: and so it's mind bogging. But then you start thinking 563 00:32:23,960 --> 00:32:26,560 Speaker 1: about a lot of these places, and I'm like, yeah, 564 00:32:26,600 --> 00:32:28,320 Speaker 1: I get by you might not have a friend outside 565 00:32:28,360 --> 00:32:30,080 Speaker 1: because you live in such a homogeneous town. And you 566 00:32:30,120 --> 00:32:34,840 Speaker 1: don't travel, and so if now it's true that you 567 00:32:34,840 --> 00:32:36,080 Speaker 1: don't have a friend outside of your race, so you 568 00:32:36,080 --> 00:32:38,040 Speaker 1: don't have a friend who looks like me, And the 569 00:32:38,080 --> 00:32:39,960 Speaker 1: only time you ever see anybody who looks like me 570 00:32:40,200 --> 00:32:45,120 Speaker 1: is rarely on television, and se of that time their threats. 571 00:32:45,200 --> 00:32:47,880 Speaker 1: Of course you're afraid of me. So of course you 572 00:32:47,920 --> 00:32:50,520 Speaker 1: love Trump's Muslim band. Of course you love the ship 573 00:32:50,600 --> 00:32:53,400 Speaker 1: whole countries comment. Of course you love that stuff because 574 00:32:53,440 --> 00:32:56,080 Speaker 1: the only thing you've seen are the threats once in 575 00:32:56,080 --> 00:32:59,560 Speaker 1: a while on television. You don't actually have the person 576 00:32:59,600 --> 00:33:03,520 Speaker 1: to person connection with somebody. Right. That bubble specifically is 577 00:33:04,040 --> 00:33:09,600 Speaker 1: defined by a lack of information and the deprivation of 578 00:33:09,680 --> 00:33:14,160 Speaker 1: exposure to other points of view. Uh, Whereas the liberal bubble, 579 00:33:14,560 --> 00:33:18,760 Speaker 1: I think, can be too steeped in, you know, or 580 00:33:18,840 --> 00:33:22,560 Speaker 1: to to dismissive of that very specific point of view, 581 00:33:22,960 --> 00:33:27,120 Speaker 1: like too dismissive of you know, Nascar and the values 582 00:33:27,880 --> 00:33:32,160 Speaker 1: of Middle America. But there are attempts by by the 583 00:33:32,200 --> 00:33:33,840 Speaker 1: New York you know, the New York Times after the 584 00:33:33,880 --> 00:33:38,880 Speaker 1: twenty sixteen election became obsessed with like exposure to like 585 00:33:39,000 --> 00:33:42,280 Speaker 1: that way of life. Yeah, but the liberal bubbles also 586 00:33:42,360 --> 00:33:45,560 Speaker 1: has a lack of information too, because it's it's just 587 00:33:45,680 --> 00:33:49,160 Speaker 1: about getting you to the to talk about a problem 588 00:33:49,360 --> 00:33:52,040 Speaker 1: and not solving it. And that's where I see a 589 00:33:52,040 --> 00:33:54,360 Speaker 1: lot of liberal people fail and when they try and 590 00:33:54,440 --> 00:33:58,480 Speaker 1: engage with like really big systemic issues is that it's like, yeah, 591 00:33:58,480 --> 00:34:02,480 Speaker 1: it's bad, it's bad, and it's like go on and 592 00:34:04,160 --> 00:34:06,440 Speaker 1: it's bad, and it's like no, see, we need more 593 00:34:06,440 --> 00:34:08,520 Speaker 1: people to say it's bad and this is what we 594 00:34:08,600 --> 00:34:11,200 Speaker 1: need to do, like we we don't have enough. The 595 00:34:11,280 --> 00:34:14,640 Speaker 1: liberal diet of media diet also doesn't give people the 596 00:34:14,680 --> 00:34:17,279 Speaker 1: imagination to solve the issues. It just takes you to 597 00:34:17,360 --> 00:34:19,560 Speaker 1: the river, doesn't tell you how to drink. It's just 598 00:34:19,600 --> 00:34:21,480 Speaker 1: like and I think what we're saying is that, like 599 00:34:21,560 --> 00:34:24,520 Speaker 1: both sides have an equal amount of hypocrisy, for sure, 600 00:34:24,800 --> 00:34:26,279 Speaker 1: always at the end of the day. But I think 601 00:34:26,320 --> 00:34:28,600 Speaker 1: to your point, there's something a little more specific to 602 00:34:28,680 --> 00:34:32,880 Speaker 1: what you started off with. I think experientially, there certainly 603 00:34:32,960 --> 00:34:35,640 Speaker 1: is this idea of like living in a city or 604 00:34:35,719 --> 00:34:39,440 Speaker 1: something or a progressive area somehow makes you like think 605 00:34:39,440 --> 00:34:42,440 Speaker 1: because I've seen how people are, like they're drinking unicorn 606 00:34:42,600 --> 00:34:48,400 Speaker 1: blood and their frappuccinos, and that's exactly right, all right, 607 00:34:48,800 --> 00:34:52,120 Speaker 1: you know, we were just talking about kind of the 608 00:34:52,200 --> 00:34:56,960 Speaker 1: general milange, the general zeitgeist of the news. But let's 609 00:34:56,960 --> 00:35:01,279 Speaker 1: talk some specifics of what is happening right now. The 610 00:35:01,320 --> 00:35:05,440 Speaker 1: President is out here, he is doing his best to 611 00:35:05,520 --> 00:35:09,760 Speaker 1: get things back on track. Uh, he was in Pennsylvania. 612 00:35:10,000 --> 00:35:15,719 Speaker 1: Uh and yeah, he he's never fails to come up 613 00:35:15,760 --> 00:35:18,480 Speaker 1: with new looks. Yeah, he had a new look on 614 00:35:18,920 --> 00:35:21,360 Speaker 1: the campaign trail. Yeah, he's you know, he's a chameleon. 615 00:35:21,400 --> 00:35:25,920 Speaker 1: He's always adapting. He's desperate. It's sickening, it's all depressing. 616 00:35:26,000 --> 00:35:29,760 Speaker 1: But Pennsylvania is obviously is getting a lot of attention 617 00:35:29,800 --> 00:35:32,560 Speaker 1: from both candidates Trump Barry. I think he lost by 618 00:35:32,640 --> 00:35:37,560 Speaker 1: less than one percent in the UM race. And right 619 00:35:37,600 --> 00:35:40,520 Speaker 1: now the Trump administration is filing like lawsuits left and 620 00:35:40,600 --> 00:35:42,880 Speaker 1: right to try and come up the voting process, specifically, 621 00:35:42,960 --> 00:35:45,840 Speaker 1: especially like Philadelphia, where a huge portion of the state's 622 00:35:45,880 --> 00:35:49,400 Speaker 1: Democratic votes are going to be coming from UM. Biden 623 00:35:49,640 --> 00:35:53,640 Speaker 1: has been visiting Pennsylvania more than any other state since September, 624 00:35:53,760 --> 00:35:57,000 Speaker 1: and like his ad spend there is only second to Florida. 625 00:35:57,400 --> 00:36:00,440 Speaker 1: So they're very focused. He's, you know, Numery Lee in 626 00:36:00,440 --> 00:36:03,120 Speaker 1: the polls leading. I don't you know whatever that means, 627 00:36:03,920 --> 00:36:08,120 Speaker 1: but Trump absolutely needs to win Pennsylvan like his numbers 628 00:36:08,120 --> 00:36:10,840 Speaker 1: are tanking, and like a lot of the other previous 629 00:36:10,880 --> 00:36:13,880 Speaker 1: battleground states, you're seeing the campaign poll ads to try 630 00:36:13,920 --> 00:36:16,040 Speaker 1: and focus with the little money they have into some 631 00:36:16,120 --> 00:36:19,400 Speaker 1: kind of winning strategy to get more white grievance voters 632 00:36:19,440 --> 00:36:22,279 Speaker 1: to come out. So he goes to Pennsylvania. You know, 633 00:36:22,400 --> 00:36:28,080 Speaker 1: he's out here fucking NonStop, begging for votes and quite 634 00:36:28,160 --> 00:36:33,040 Speaker 1: literally begging for votes. And he said about suburban women please, 635 00:36:33,120 --> 00:36:36,400 Speaker 1: like that's what we're about to get to. So um, 636 00:36:36,440 --> 00:36:39,840 Speaker 1: you know, he seeing how bad he's doing in Pennsylvania. 637 00:36:39,920 --> 00:36:43,960 Speaker 1: He just made it very clear, very specifically, which demographic 638 00:36:44,239 --> 00:36:48,319 Speaker 1: is really fucking up his chances. And because he's coming 639 00:36:48,360 --> 00:36:51,320 Speaker 1: out here with his with two pay in hand or 640 00:36:51,360 --> 00:36:55,160 Speaker 1: hat in hand, I'm sorry saying please please just listen 641 00:36:55,200 --> 00:37:01,080 Speaker 1: to this. Listen to this. What's fucking said? Ask suburban women? 642 00:37:01,120 --> 00:37:09,440 Speaker 1: Would you please like me? I saved your damn neighborhood? Okay, 643 00:37:10,040 --> 00:37:11,680 Speaker 1: you other thing. I don't have that much time to 644 00:37:11,760 --> 00:37:13,279 Speaker 1: be that nice. You know I can do it, but 645 00:37:13,320 --> 00:37:16,000 Speaker 1: I gotta go quickly. We don't have time. They want 646 00:37:16,000 --> 00:37:19,000 Speaker 1: me to be politically correct, Oh, yes, let's discuss it. 647 00:37:19,160 --> 00:37:23,120 Speaker 1: Let's talk about it over the next ten years. No, no, no, now, 648 00:37:23,200 --> 00:37:30,879 Speaker 1: we saved your We saved suburban um. Yeah. The like 649 00:37:30,920 --> 00:37:34,040 Speaker 1: when it goes from like shout out to my suburban 650 00:37:34,040 --> 00:37:38,360 Speaker 1: women and people like yeah, and then he's like gets 651 00:37:38,360 --> 00:37:41,279 Speaker 1: into specifics and it just goes like dead sounds. They're like, wait, 652 00:37:41,360 --> 00:37:44,440 Speaker 1: what what is? What is is he like following this 653 00:37:44,560 --> 00:37:47,680 Speaker 1: down a path of trying to reason That said, they're 654 00:37:47,719 --> 00:37:49,839 Speaker 1: trying to get me to be politically correct, but I'm 655 00:37:49,920 --> 00:37:52,279 Speaker 1: going fast. Then you know, what, are we gonna talk 656 00:37:52,320 --> 00:37:56,680 Speaker 1: about it for ten years? What what you're You're you're 657 00:37:56,719 --> 00:38:00,440 Speaker 1: tanking with because your rhetoric is so fucking all full 658 00:38:00,840 --> 00:38:04,160 Speaker 1: and you are in an active campaign to take away 659 00:38:04,360 --> 00:38:07,719 Speaker 1: the rights of women, especially to have any kind of 660 00:38:07,719 --> 00:38:10,760 Speaker 1: decision over their bodies or any human being for that matter. 661 00:38:10,880 --> 00:38:13,879 Speaker 1: So yeah, it's it's running a bit a foul with 662 00:38:14,160 --> 00:38:20,239 Speaker 1: the women who are living in suburbia. But also, I mean, 663 00:38:20,800 --> 00:38:24,160 Speaker 1: I don't understand how begging is like the tactic. It's 664 00:38:24,600 --> 00:38:26,880 Speaker 1: I'm sure that like you gotta it's like right before 665 00:38:26,920 --> 00:38:29,280 Speaker 1: that's like, I know you're not gonna listen, Mr President, 666 00:38:29,320 --> 00:38:32,440 Speaker 1: but if you can just say something that would soften 667 00:38:32,920 --> 00:38:36,680 Speaker 1: your image with suburban white women because they helped you 668 00:38:36,680 --> 00:38:39,520 Speaker 1: a lot big time. That would be great. He's like, yeah, great, 669 00:38:39,640 --> 00:38:42,239 Speaker 1: us often it up. Come on, women, you know what 670 00:38:42,320 --> 00:38:47,000 Speaker 1: I like me? Can you like me at the same rally? 671 00:38:47,040 --> 00:38:48,680 Speaker 1: This is where he I don't know if you guys 672 00:38:48,719 --> 00:38:52,440 Speaker 1: saw the clip of him dancing to and do you 673 00:38:52,520 --> 00:38:57,120 Speaker 1: think do you think it's like ignorance of that the 674 00:38:57,200 --> 00:38:59,600 Speaker 1: village people is like a gay anthem or do you 675 00:38:59,640 --> 00:39:03,280 Speaker 1: think it like a weird spin like we're gonna take 676 00:39:03,800 --> 00:39:07,760 Speaker 1: this gay anthem and make it a maga thing. Yeah. 677 00:39:07,840 --> 00:39:10,960 Speaker 1: I think it's just he doesn't care. He's there's too 678 00:39:11,040 --> 00:39:15,040 Speaker 1: much nuance there. You've lost Trump. But you're both saying 679 00:39:15,040 --> 00:39:19,800 Speaker 1: that he knows. I think I think probably he's generally awake, 680 00:39:19,840 --> 00:39:22,640 Speaker 1: but he knows the village people are like gay people 681 00:39:22,640 --> 00:39:25,040 Speaker 1: in leather. But yeah, I don't know if maybe he's 682 00:39:25,040 --> 00:39:26,719 Speaker 1: just like but it's a bob, you know, I don't 683 00:39:28,280 --> 00:39:30,840 Speaker 1: when the ship slaps, the ship slaps no time as 684 00:39:31,480 --> 00:39:34,799 Speaker 1: they can like he he thinks he's owning them by 685 00:39:34,880 --> 00:39:37,520 Speaker 1: playing their music, because are they are they? Did they 686 00:39:37,520 --> 00:39:40,160 Speaker 1: sign off on? Did they act? He's been doing this 687 00:39:40,360 --> 00:39:43,880 Speaker 1: the whole time, so then they're getting a check and 688 00:39:43,920 --> 00:39:46,280 Speaker 1: the next one, the next one is uh. He always 689 00:39:46,360 --> 00:39:49,920 Speaker 1: plays Losing My Religion at the top of a thing, 690 00:39:49,920 --> 00:39:56,120 Speaker 1: and I'm like, Michael Stipe hates you, right, hates you? Yeah, 691 00:39:56,400 --> 00:39:59,719 Speaker 1: that's wild. Is that just because he it's a song 692 00:40:00,080 --> 00:40:02,759 Speaker 1: he likes, because that doesn't really even like that's one 693 00:40:02,880 --> 00:40:05,760 Speaker 1: really like one of my anthem One of my favorite 694 00:40:05,760 --> 00:40:09,160 Speaker 1: follows is Aaron Rupar on Twitter because he I don't 695 00:40:09,160 --> 00:40:10,920 Speaker 1: I can't watch a whole Trump rally, but he like 696 00:40:11,080 --> 00:40:13,840 Speaker 1: puts like the highlights of Trump press conferences, Trump interviews 697 00:40:13,840 --> 00:40:15,799 Speaker 1: and Trump rallies on his Twitter so you can watch 698 00:40:15,880 --> 00:40:19,040 Speaker 1: like eight minutes or something of it that's like a recap, 699 00:40:19,080 --> 00:40:21,040 Speaker 1: and so I follow that a lot. And sometimes it's 700 00:40:21,080 --> 00:40:24,879 Speaker 1: the beginning of whoever's introducing him, and I swear to god, 701 00:40:24,880 --> 00:40:28,279 Speaker 1: it's always like R E. M and like these like 702 00:40:28,440 --> 00:40:32,560 Speaker 1: nineties alternative rock jams, and I'm like, these people hate you, yeah, 703 00:40:32,600 --> 00:40:35,520 Speaker 1: And they're constantly threatening with cease and desists after the 704 00:40:35,600 --> 00:40:37,719 Speaker 1: fact because like he's not getting it. When they're like 705 00:40:37,880 --> 00:40:41,000 Speaker 1: don't hey, fucking don't like all right, I guess you 706 00:40:41,040 --> 00:40:44,600 Speaker 1: have to fucking sue you. You fucking ask. But the dancing, 707 00:40:44,719 --> 00:40:47,680 Speaker 1: the dancing, the village people and being so anti gay 708 00:40:47,680 --> 00:40:50,640 Speaker 1: in legislation and then like dancing to a gay anthem. 709 00:40:50,719 --> 00:40:54,000 Speaker 1: It's just so bizarre. Yeah, well, I mean I think 710 00:40:54,040 --> 00:40:55,680 Speaker 1: for him, he's like, what do you mean it's it's 711 00:40:55,680 --> 00:40:57,719 Speaker 1: become bigger than that. Go to any sports game in 712 00:40:57,719 --> 00:41:00,640 Speaker 1: the country. They're playing this song. It's just just a fun, 713 00:41:01,000 --> 00:41:03,879 Speaker 1: fun jam about it. A cool place to go when 714 00:41:03,880 --> 00:41:06,279 Speaker 1: you're a guy down on your luck. I saw a 715 00:41:06,920 --> 00:41:08,800 Speaker 1: video on Instagram that I think it was a TikTok 716 00:41:09,000 --> 00:41:12,560 Speaker 1: of someone saying that he falls asleep crying to macho man, 717 00:41:12,640 --> 00:41:18,600 Speaker 1: which is I want to be a macho man. Just 718 00:41:19,000 --> 00:41:21,840 Speaker 1: that dance, though, was like, that needs to become an 719 00:41:22,000 --> 00:41:26,960 Speaker 1: iconic clip, like that goes down in museums, just him 720 00:41:27,000 --> 00:41:32,959 Speaker 1: doing the little like mom dance. It's a suburban woman dance. 721 00:41:33,080 --> 00:41:35,480 Speaker 1: Yea suburban woman dance. See what do you mean? I was, 722 00:41:37,880 --> 00:41:41,600 Speaker 1: I love it. Yeah, all right, let's take a quick 723 00:41:41,600 --> 00:41:55,360 Speaker 1: break and we'll be right back. And we're back. And 724 00:41:55,640 --> 00:41:59,200 Speaker 1: the other place that the president is on a roll 725 00:41:59,480 --> 00:42:04,239 Speaker 1: is on two Twitter, where he is retweeting just the 726 00:42:04,360 --> 00:42:09,440 Speaker 1: wild conspiracy ship, just straight bullshit. Now, like the president, 727 00:42:09,960 --> 00:42:15,040 Speaker 1: our team, the nonsense. This Twitter user Oscar the Miden, 728 00:42:15,080 --> 00:42:17,000 Speaker 1: I'm not fun foot. I'm not gonna give this person. 729 00:42:17,120 --> 00:42:19,719 Speaker 1: Just some fucking guy on Twitter. Okay, he retweeted, just 730 00:42:19,760 --> 00:42:22,600 Speaker 1: some guy who linked to this article and this tweet 731 00:42:22,640 --> 00:42:25,640 Speaker 1: that Trump we tweets reads Hiden, Biden and Obama may 732 00:42:25,680 --> 00:42:29,160 Speaker 1: have had Sealed Team six killed explosive c I. A 733 00:42:29,280 --> 00:42:32,640 Speaker 1: whistle blower exposes Biden's alleged role with the deaths of 734 00:42:33,080 --> 00:42:37,440 Speaker 1: Sealed Team and claims to have documented proof. Retweet and 735 00:42:37,640 --> 00:42:41,360 Speaker 1: this article is just in d J h J Media, 736 00:42:42,200 --> 00:42:46,000 Speaker 1: which is an absolute dumpster fire as has nothing to 737 00:42:46,040 --> 00:42:49,520 Speaker 1: do with anything close to legitimate journalism, and it's all 738 00:42:49,560 --> 00:42:51,960 Speaker 1: about I don't know, I guess it's a death blow 739 00:42:51,840 --> 00:42:55,680 Speaker 1: to the Biden Harris campaign where they're alleging that Joe 740 00:42:55,760 --> 00:42:58,880 Speaker 1: Biden had Sealed Team six killed and then covered it 741 00:42:58,960 --> 00:43:01,680 Speaker 1: up by paying you on money under the guys of 742 00:43:01,719 --> 00:43:04,680 Speaker 1: the fucking nuclear deal or some ship. And then Bin 743 00:43:04,760 --> 00:43:08,200 Speaker 1: Ladden may actually be alive and Biden is actually behind 744 00:43:08,239 --> 00:43:12,759 Speaker 1: a bunch of CIA crimes. Okay, saying it like you 745 00:43:12,760 --> 00:43:15,160 Speaker 1: don't believe it. The last part I believe because if 746 00:43:15,200 --> 00:43:16,680 Speaker 1: they say like and he might be he might have 747 00:43:16,680 --> 00:43:18,400 Speaker 1: engaged in some war crimes. I'm like, well, you know 748 00:43:18,440 --> 00:43:20,920 Speaker 1: it's it's it's called being on the executive of the 749 00:43:20,960 --> 00:43:23,400 Speaker 1: United States him. I read, I read because Okay, so 750 00:43:23,480 --> 00:43:25,800 Speaker 1: the dude who was on the seal team that killed 751 00:43:26,600 --> 00:43:31,840 Speaker 1: Ben Lawden tweeted today that Obama gave the order and 752 00:43:31,840 --> 00:43:34,479 Speaker 1: he wasn't a double and stopped this. And it's weird 753 00:43:34,560 --> 00:43:38,359 Speaker 1: because that guy is a huge Trump supporter. Um. But 754 00:43:38,480 --> 00:43:40,759 Speaker 1: even he came out and was like, this is ridiculous. 755 00:43:40,880 --> 00:43:43,040 Speaker 1: Well yeah, he's like, it's like trying to dunk on 756 00:43:43,160 --> 00:43:46,480 Speaker 1: his greatest achievement. I'm sure it's like a operator. You're like, 757 00:43:46,560 --> 00:43:48,520 Speaker 1: hold off, you're not taking this from me. I don't 758 00:43:48,560 --> 00:43:52,000 Speaker 1: give a fuck. All the people underneath the tweet, we're like, nope, 759 00:43:52,040 --> 00:43:54,279 Speaker 1: you were involved in a deep state. Uh you know 760 00:43:54,560 --> 00:43:56,759 Speaker 1: this thing, this thing, and it was one of the 761 00:43:56,800 --> 00:43:59,759 Speaker 1: things was the reason why they think it was because 762 00:44:00,040 --> 00:44:02,960 Speaker 1: been Laden hadn't aged in twenty years if you look 763 00:44:03,000 --> 00:44:07,680 Speaker 1: at the pictures and and that especially if he's in 764 00:44:07,800 --> 00:44:11,239 Speaker 1: caves like he would age. And I have two part 765 00:44:11,320 --> 00:44:13,399 Speaker 1: response to that. I'm like, first of all, the whole 766 00:44:13,400 --> 00:44:17,160 Speaker 1: thing about caves, it's just racism. He wasn't in caves. 767 00:44:17,320 --> 00:44:20,520 Speaker 1: He was always in like mansions he was. You just 768 00:44:20,560 --> 00:44:23,879 Speaker 1: think that Afghanistan is all caves, but it's not like 769 00:44:24,040 --> 00:44:26,000 Speaker 1: the whole thing about caves was never a thing. No 770 00:44:26,040 --> 00:44:32,160 Speaker 1: one actually they think these people, they think like these 771 00:44:32,280 --> 00:44:34,480 Speaker 1: terrorists were like actually in caves. It's like, no, they're 772 00:44:34,480 --> 00:44:36,640 Speaker 1: in mansions. They have houses. You just keep saying caves 773 00:44:36,640 --> 00:44:39,680 Speaker 1: because it's racist. And then the other thing is that 774 00:44:39,800 --> 00:44:43,879 Speaker 1: like he didn't age, what do he looked old as fuck? Right? 775 00:44:44,800 --> 00:44:49,480 Speaker 1: He was on dialysis. Yeah, he was doing terrible. He 776 00:44:50,239 --> 00:44:53,560 Speaker 1: looked like shit. I mean, all the fucking gas lighting 777 00:44:53,640 --> 00:44:55,560 Speaker 1: and wacky ship that they're that's coming out of the 778 00:44:55,719 --> 00:44:58,280 Speaker 1: right right now, it's truly next level. I mean, Rudy 779 00:44:58,280 --> 00:45:04,640 Speaker 1: Giuliani's just blurting absolute anti science bullshit about coronavirus. We're 780 00:45:04,640 --> 00:45:08,279 Speaker 1: out here now, the President's retweeting ship that Biden had 781 00:45:08,360 --> 00:45:12,200 Speaker 1: seal team. It's it's all very very desperate, and I'm 782 00:45:12,239 --> 00:45:15,120 Speaker 1: not sure what they I don't know. I mean, this 783 00:45:15,239 --> 00:45:19,040 Speaker 1: is nothing is off limits at this point. So yeah, 784 00:45:19,600 --> 00:45:22,680 Speaker 1: just all all they have to do is make uh, 785 00:45:22,960 --> 00:45:27,359 Speaker 1: the other side exhausted, which you know, a plus job there. 786 00:45:27,400 --> 00:45:31,759 Speaker 1: They've succeeded, right, We're fucking so tired of of this. 787 00:45:31,880 --> 00:45:36,360 Speaker 1: And they also have to just like make the reality 788 00:45:37,480 --> 00:45:40,399 Speaker 1: like questionable, make it make it so that people don't 789 00:45:40,480 --> 00:45:43,279 Speaker 1: know what's real and what's not anymore, and like that 790 00:45:43,440 --> 00:45:47,800 Speaker 1: certainly is happening with his followers. Uh you know, imagine 791 00:45:47,840 --> 00:45:52,200 Speaker 1: being that Seal Team six guy and like you can't 792 00:45:52,280 --> 00:45:55,319 Speaker 1: even like the thing that you are known for is 793 00:45:55,360 --> 00:45:58,960 Speaker 1: suddenly taken away from you by like your fellow. Like 794 00:45:59,040 --> 00:46:02,920 Speaker 1: it's just everything is a shifting reality. It's you know, 795 00:46:03,360 --> 00:46:07,520 Speaker 1: all you have to do is look at Putin's propaganda 796 00:46:07,719 --> 00:46:10,560 Speaker 1: master like built out a whole plan of like how 797 00:46:10,680 --> 00:46:13,920 Speaker 1: you do this, and this is exactly what this is 798 00:46:13,960 --> 00:46:16,640 Speaker 1: exactly what they're succeeding in. This is why, like the 799 00:46:17,239 --> 00:46:22,040 Speaker 1: polls really shouldn't make anybody feel better, because we've never 800 00:46:22,280 --> 00:46:26,960 Speaker 1: dealt with just a straight up, you know, authoritarian who 801 00:46:27,120 --> 00:46:32,279 Speaker 1: is using propaganda full out, like full stop. And there 802 00:46:32,440 --> 00:46:36,520 Speaker 1: even reports Fox News the newsroom is like there's reporting 803 00:46:36,560 --> 00:46:40,040 Speaker 1: coming out that there on board with whatever the funk 804 00:46:40,080 --> 00:46:42,640 Speaker 1: they got to say on election night, like even out 805 00:46:42,640 --> 00:46:45,880 Speaker 1: of the news room. Um, not just the like opinion 806 00:46:45,920 --> 00:46:49,400 Speaker 1: goals of the Ingram Hannity's and Carlson's they're on board 807 00:46:49,400 --> 00:46:52,680 Speaker 1: with the Trump administration with whatever they have to say. Yeah, 808 00:46:52,800 --> 00:46:55,840 Speaker 1: it's really I mean to me because I always feel 809 00:46:55,880 --> 00:46:59,719 Speaker 1: I can still feel like Ted Cruz and Rubio and 810 00:47:00,040 --> 00:47:05,920 Speaker 1: am these people clearly obviously all hate Trump and are 811 00:47:05,960 --> 00:47:08,279 Speaker 1: and are doing this thing over the last four years 812 00:47:08,280 --> 00:47:10,840 Speaker 1: because they feel like they need to like strengthen the 813 00:47:10,920 --> 00:47:14,400 Speaker 1: racist space and I and I get that, but then 814 00:47:14,440 --> 00:47:17,080 Speaker 1: I'm like, so, why do you want him to win again? 815 00:47:17,120 --> 00:47:21,360 Speaker 1: Like you guys secretly hate Trump because it's just the 816 00:47:21,400 --> 00:47:24,080 Speaker 1: way the machine works, you know, Like they're they're in 817 00:47:24,080 --> 00:47:27,319 Speaker 1: this party and they have their base that there now 818 00:47:27,520 --> 00:47:31,480 Speaker 1: suddenly beholden to that's like a completely different look or 819 00:47:31,480 --> 00:47:34,560 Speaker 1: at least much more aggressive in how sort of like 820 00:47:34,760 --> 00:47:37,840 Speaker 1: violent and racist they are. And they're like, what do 821 00:47:37,880 --> 00:47:40,880 Speaker 1: I fucking do? Do I I speak my conscience and 822 00:47:40,920 --> 00:47:43,439 Speaker 1: then just have these people fucking threatened me to death? 823 00:47:43,560 --> 00:47:45,880 Speaker 1: I mean, it's all so clear that it's just all 824 00:47:46,120 --> 00:47:48,759 Speaker 1: it's they're just they don't know what to do. It's 825 00:47:48,800 --> 00:47:50,400 Speaker 1: so clear that they go home to their wives and 826 00:47:50,440 --> 00:47:54,560 Speaker 1: are like, God, this fucking idiot, And she's like, Ted, 827 00:47:54,640 --> 00:47:56,759 Speaker 1: when are you gonna you said, you're gonna fuck him 828 00:47:56,840 --> 00:48:00,160 Speaker 1: up for talking that ship. But the only person, oh, 829 00:48:00,280 --> 00:48:02,440 Speaker 1: I think maybe doesn't do that as Mitch McConnell. I 830 00:48:02,520 --> 00:48:06,120 Speaker 1: feel like he's like, all right, odd, why Yeah, I 831 00:48:06,160 --> 00:48:09,480 Speaker 1: don't know, because he's like, I don't even think he's alive. 832 00:48:09,560 --> 00:48:12,640 Speaker 1: He's like being powered by like fucking fracking gas and 833 00:48:12,840 --> 00:48:15,600 Speaker 1: like dollar bills and ship. Yeah, he looks like that 834 00:48:15,719 --> 00:48:17,799 Speaker 1: spirit at the end of Star Wars, that whatever that 835 00:48:17,920 --> 00:48:21,759 Speaker 1: character is that the main dude who is the bean 836 00:48:21,840 --> 00:48:24,960 Speaker 1: villain in the final one with the black great description 837 00:48:25,920 --> 00:48:27,759 Speaker 1: the main dude, the main villain in Star Wars in 838 00:48:27,800 --> 00:48:31,960 Speaker 1: the black rope, you know, yeah, bro, Yeah, I don't know. Man, 839 00:48:32,200 --> 00:48:35,399 Speaker 1: when you no longer have to hide the fact that 840 00:48:35,480 --> 00:48:39,840 Speaker 1: you are sewing miss information, when you no longer have 841 00:48:39,960 --> 00:48:44,520 Speaker 1: to hide voter suppression, which seems to be like what 842 00:48:44,640 --> 00:48:49,399 Speaker 1: you know, they don't they're completely unaccountable when it comes 843 00:48:49,440 --> 00:48:52,160 Speaker 1: to the media. So there, you know, asking people to 844 00:48:52,200 --> 00:48:56,880 Speaker 1: physically intimidate voters at certain pulling locations. They're shutting pulling 845 00:48:56,920 --> 00:49:00,160 Speaker 1: places down, they're throwing away ballots, they're going to try 846 00:49:00,239 --> 00:49:04,840 Speaker 1: to legally discount ballots. Yeah, fiber optic cables are suddenly 847 00:49:04,920 --> 00:49:09,080 Speaker 1: being disconnected in Virginia the day of registration, the voting registration, 848 00:49:09,120 --> 00:49:12,480 Speaker 1: which happened in two on the same day, and they 849 00:49:12,480 --> 00:49:14,680 Speaker 1: sued in twenty six another swing for the same thing. 850 00:49:14,680 --> 00:49:18,080 Speaker 1: In it's ridiculous they had to extend the deadline. But 851 00:49:18,160 --> 00:49:20,880 Speaker 1: it's like, oh, whoops, we were digging in this area 852 00:49:21,000 --> 00:49:24,040 Speaker 1: and we completely fucked up the fiber optic cables that 853 00:49:24,080 --> 00:49:27,400 Speaker 1: were powering the states. Like I t for voter registrate. 854 00:49:27,360 --> 00:49:30,480 Speaker 1: It's The New York Times magazine did a look at 855 00:49:30,520 --> 00:49:33,360 Speaker 1: like voter fraud and how Trump is using the claims 856 00:49:33,400 --> 00:49:35,840 Speaker 1: of voter fraud, which has never been a problem, but 857 00:49:35,880 --> 00:49:38,920 Speaker 1: they're using that as like the thing that makes the 858 00:49:38,960 --> 00:49:42,239 Speaker 1: ground that the whole election stands on into like a 859 00:49:42,320 --> 00:49:46,040 Speaker 1: quicksand Like one of the details in this story that 860 00:49:46,120 --> 00:49:51,400 Speaker 1: I didn't realize is that in two thousand, like they said, 861 00:49:51,440 --> 00:49:56,640 Speaker 1: the basically the modern era of Republicans using claims of 862 00:49:56,719 --> 00:50:00,440 Speaker 1: voter fraud to win elections and you know, suppress votes 863 00:50:00,840 --> 00:50:04,759 Speaker 1: started in two thousand. There was a like, as they 864 00:50:04,800 --> 00:50:10,799 Speaker 1: were really doing the recount in a Dade County like courthouse, 865 00:50:11,239 --> 00:50:15,680 Speaker 1: Republican protesters were like surrounded the building, broke into the building, 866 00:50:16,080 --> 00:50:18,880 Speaker 1: broke into the room where they were doing the recount 867 00:50:19,280 --> 00:50:23,480 Speaker 1: and started like slamming on tables and slamming on the walls. 868 00:50:23,560 --> 00:50:27,360 Speaker 1: This was organized by Roger Stone, Yes, that Roger Stone. 869 00:50:27,880 --> 00:50:30,719 Speaker 1: It was called the I forget what they called it. 870 00:50:32,000 --> 00:50:35,520 Speaker 1: Brothers Riot. Yeah, the Blue Blazer Riot, the Brooks brothers. 871 00:50:35,520 --> 00:50:39,719 Speaker 1: They're all dressed in like corporal business attire. But the 872 00:50:41,239 --> 00:50:45,879 Speaker 1: board was sufficiently intimidated that they suspended the count less 873 00:50:45,880 --> 00:50:48,520 Speaker 1: than a quarter of the way through when it had 874 00:50:48,520 --> 00:50:50,879 Speaker 1: shown a net gain of a hundred and sixty votes 875 00:50:50,920 --> 00:50:54,680 Speaker 1: for Gore. And that count never resumed because the Supreme 876 00:50:54,719 --> 00:50:57,360 Speaker 1: Court called it off. So can you imagine if black 877 00:50:57,440 --> 00:51:01,960 Speaker 1: or Muslim people did that. It's unbelievable. It's straight up, 878 00:51:02,040 --> 00:51:08,120 Speaker 1: they just rioted to steal an election. And it's like 879 00:51:08,560 --> 00:51:10,239 Speaker 1: I had to read about it in a New York 880 00:51:10,280 --> 00:51:14,600 Speaker 1: Times article twenty years later. I learned. I learned last 881 00:51:14,719 --> 00:51:17,560 Speaker 1: night that three of the people on the legal team 882 00:51:17,640 --> 00:51:23,719 Speaker 1: during that Florida recount fiasco were Amy Comy, Barrett Kavanaugh, 883 00:51:24,239 --> 00:51:29,760 Speaker 1: and Justice Roberts. That those are three people who legislated 884 00:51:29,960 --> 00:51:33,480 Speaker 1: that whole recount fiasco in Florida, And now there are 885 00:51:33,520 --> 00:51:36,560 Speaker 1: three Supreme Court justices, and it's like, I have no 886 00:51:36,760 --> 00:51:38,799 Speaker 1: faith that she's not going to get put right the 887 00:51:38,800 --> 00:51:41,080 Speaker 1: hell through. It feels like, oh, she's definitely going to 888 00:51:41,239 --> 00:51:45,480 Speaker 1: and she won't. She's refusing to even say I I won't. Like, 889 00:51:45,840 --> 00:51:48,960 Speaker 1: can you imagine if we did what she did on 890 00:51:49,000 --> 00:51:51,040 Speaker 1: a job interview? If you're like, so, what would you 891 00:51:51,080 --> 00:51:52,480 Speaker 1: do if you were hired? And I was like, well, 892 00:51:52,520 --> 00:51:56,800 Speaker 1: you'll find out when you hire me, right, mm hmm okay, 893 00:51:56,840 --> 00:51:59,879 Speaker 1: So that's well, are you gonna work hard? Don't know? Man? 894 00:52:00,080 --> 00:52:05,439 Speaker 1: Find out? Man? I mean that is like that's sort 895 00:52:05,480 --> 00:52:10,319 Speaker 1: of standard policy, that's standard procedure for justices to say, like, 896 00:52:10,400 --> 00:52:12,759 Speaker 1: I'm not going to tell you how I would rule 897 00:52:12,840 --> 00:52:15,839 Speaker 1: on that, but I will like point to precedent um 898 00:52:16,040 --> 00:52:18,640 Speaker 1: and then like we would have to judge it on 899 00:52:18,760 --> 00:52:21,480 Speaker 1: its merits. But like some of just some of the 900 00:52:21,520 --> 00:52:25,600 Speaker 1: stuff that is like tangentially coming out as she's making 901 00:52:25,600 --> 00:52:29,319 Speaker 1: those arguments are really frightening, Like when she's talking about 902 00:52:29,360 --> 00:52:32,000 Speaker 1: can the president ignore a Supreme Court ruling? And she's like, well, 903 00:52:32,040 --> 00:52:33,920 Speaker 1: the thing is it's like, hold on, why are you 904 00:52:33,920 --> 00:52:37,279 Speaker 1: starting off with the thing is it's not should be No, 905 00:52:37,440 --> 00:52:40,040 Speaker 1: this motherfucker's not above the laws, Like, well, here's the deal. 906 00:52:40,080 --> 00:52:41,680 Speaker 1: I mean, we can then interpret the law and make 907 00:52:41,719 --> 00:52:43,399 Speaker 1: it and give a ruling. But then at that point, 908 00:52:43,440 --> 00:52:45,560 Speaker 1: I don't know if we can compel from a political 909 00:52:45,560 --> 00:52:49,400 Speaker 1: standpoint that And now you're saying so you're saying you 910 00:52:49,400 --> 00:52:51,239 Speaker 1: you don't know or you don't know. You're like, well, 911 00:52:51,280 --> 00:52:53,719 Speaker 1: I certainly can't make them do something. That's not a 912 00:52:53,760 --> 00:52:57,080 Speaker 1: good answer right now when we're talking about full blown 913 00:52:57,200 --> 00:53:02,120 Speaker 1: rat fuccory. Yeah, climate inch her response, I'm no scientist, 914 00:53:02,440 --> 00:53:06,520 Speaker 1: which is like, hasn't been even the conservative response since 915 00:53:06,560 --> 00:53:12,160 Speaker 1: like the eighties, Like that's like just ridiculous. She referred to, 916 00:53:12,640 --> 00:53:16,359 Speaker 1: like during gay marriage questioning, she referred to that as 917 00:53:16,400 --> 00:53:21,759 Speaker 1: sexual preference. Again, not even like a thing conservative say. Uh, 918 00:53:22,160 --> 00:53:24,880 Speaker 1: Like it implies that it's just like, hey, whatever you 919 00:53:24,920 --> 00:53:28,080 Speaker 1: feel like that day. Clearly you know you're just making 920 00:53:28,160 --> 00:53:34,520 Speaker 1: up your mind. Yeah, it's it's bad Beverly Hills. Let's 921 00:53:34,520 --> 00:53:39,320 Speaker 1: talk about let's talk about Halloween and Beverly Hills. That's 922 00:53:39,520 --> 00:53:48,319 Speaker 1: where all right, um, dude, Weezer, bring us back Weezer. 923 00:53:48,760 --> 00:53:52,319 Speaker 1: Uh yeah, they have, they have officially ruined Halloween. Now 924 00:53:52,320 --> 00:53:54,839 Speaker 1: this is more of a local story for US Angelinos. 925 00:53:54,880 --> 00:53:59,560 Speaker 1: Because of l A. He first started off with the 926 00:53:59,600 --> 00:54:03,279 Speaker 1: City of Los Angeles being like, oh, we're trick or 927 00:54:03,360 --> 00:54:06,399 Speaker 1: treating you've been Oh hell no, it's a fucking pandemic. 928 00:54:06,640 --> 00:54:08,840 Speaker 1: We're not trick or treelic. But fulk what you said. 929 00:54:09,440 --> 00:54:12,760 Speaker 1: Cut to three hours later, Okay, I am sorry. Uh 930 00:54:12,960 --> 00:54:15,600 Speaker 1: do your own thing, l A. My bad. Didn't mean 931 00:54:15,640 --> 00:54:17,440 Speaker 1: to like try and look out for y'all. As as 932 00:54:17,480 --> 00:54:19,560 Speaker 1: the fucking mayor. Really, all they did just said is 933 00:54:19,600 --> 00:54:24,359 Speaker 1: like they would actually would advise against it. That's that's 934 00:54:24,360 --> 00:54:26,319 Speaker 1: what they went from being like it ain't happening to 935 00:54:26,400 --> 00:54:29,000 Speaker 1: like we're gonna say, like, don't do that. But that's 936 00:54:29,440 --> 00:54:32,560 Speaker 1: I don't. We'll see what happens in Beverly Hills though, 937 00:54:32,920 --> 00:54:35,520 Speaker 1: you know, in that little enclave, the mayor is not 938 00:54:35,640 --> 00:54:38,480 Speaker 1: fucking playing around. And it is a very specific the 939 00:54:38,480 --> 00:54:43,160 Speaker 1: band on trick or treating in Beverly Hills. It says specifically, 940 00:54:43,200 --> 00:54:46,760 Speaker 1: giving candy, toys or treats to anyone outside one's household 941 00:54:46,880 --> 00:54:49,520 Speaker 1: is prohibited, no matter if the handouts passed through a 942 00:54:49,560 --> 00:54:51,960 Speaker 1: front door or the trunk of a car, the ladder 943 00:54:52,040 --> 00:54:54,719 Speaker 1: being known as trunk or treating um. And they also 944 00:54:54,760 --> 00:54:58,400 Speaker 1: said the city is banned, has banned quote spring shaving 945 00:54:58,440 --> 00:55:02,960 Speaker 1: cream on others, and though it gave licensed barbers an exemption, 946 00:55:03,080 --> 00:55:06,040 Speaker 1: thank god, Beverly Hills residents can also feel free to 947 00:55:06,080 --> 00:55:10,560 Speaker 1: spray cream spray cream members of their own households. Within 948 00:55:10,800 --> 00:55:16,640 Speaker 1: those households, what is the mayor the most consorted parent 949 00:55:16,840 --> 00:55:24,080 Speaker 1: on earth? What happened to the mayor with the shaving cream? Yeah? 950 00:55:24,120 --> 00:55:27,160 Speaker 1: Someone they got that shaving cream prick and just have 951 00:55:27,280 --> 00:55:30,960 Speaker 1: never recovered. Their whole career has been an excuse to 952 00:55:31,040 --> 00:55:36,480 Speaker 1: legislate people's ability to spray cream each other. Um, I 953 00:55:36,600 --> 00:55:40,520 Speaker 1: don't it's it doesn't even it's so specific, like in 954 00:55:40,600 --> 00:55:44,360 Speaker 1: the actual wording of this, you know, from the city bamboom, 955 00:55:44,560 --> 00:55:47,080 Speaker 1: house to house tricker treating or car to car, sringor treating. 956 00:55:47,160 --> 00:55:54,000 Speaker 1: The second thing that's for him it is spraying shaving cream. 957 00:55:54,680 --> 00:55:56,400 Speaker 1: I mean, I get it. You're getting like a bunch 958 00:55:56,440 --> 00:56:00,520 Speaker 1: of possibly contaminated like liquids on your face. Sir. Some 959 00:56:00,640 --> 00:56:04,080 Speaker 1: ship and it's around, But like it seems like such 960 00:56:04,120 --> 00:56:07,680 Speaker 1: an overly o. I don't understand. I never even did 961 00:56:07,719 --> 00:56:11,920 Speaker 1: that ship. Yeah no, the only time I used shaving 962 00:56:12,000 --> 00:56:15,040 Speaker 1: cream was the with the prank where you put it 963 00:56:15,080 --> 00:56:17,440 Speaker 1: on someone's hand and then tickle their nose and a sleepover. 964 00:56:18,239 --> 00:56:21,920 Speaker 1: Uh and I think I that's punishable by death in 965 00:56:21,960 --> 00:56:24,880 Speaker 1: Beverly Hills. Ye yeah, yeah, yeah, that will put you 966 00:56:24,920 --> 00:56:29,160 Speaker 1: will get put away for all your off that. Um, well, 967 00:56:29,200 --> 00:56:31,440 Speaker 1: all right, that's good to know. Do you guys know 968 00:56:31,480 --> 00:56:34,680 Speaker 1: what you're gonna do for Halloween? Are you going to celebrate? 969 00:56:35,040 --> 00:56:38,240 Speaker 1: I haven't have not thought about it once. In fact, 970 00:56:38,280 --> 00:56:40,120 Speaker 1: the first time I thought about Halloween was about thirty 971 00:56:40,160 --> 00:56:43,959 Speaker 1: seconds ago when you started talking about the Beverly Jack. 972 00:56:44,040 --> 00:56:46,799 Speaker 1: I haven't forgot that we were even in October. When 973 00:56:46,840 --> 00:56:48,680 Speaker 1: I was like down like in the summer, I was like, 974 00:56:48,680 --> 00:56:50,440 Speaker 1: oh ship, we're about to hit three years because they 975 00:56:50,440 --> 00:56:54,480 Speaker 1: had seen I just realized we were in October. We 976 00:56:54,600 --> 00:56:57,320 Speaker 1: just penned, is it Halloween on like a Friday or Saturday? 977 00:56:57,320 --> 00:56:58,919 Speaker 1: This year it would have been it's a full moon 978 00:56:59,200 --> 00:57:02,319 Speaker 1: and it's a blue moon. It's the second full moon 979 00:57:02,640 --> 00:57:07,280 Speaker 1: of October, which is it's gonna be and it's Halloween 980 00:57:07,360 --> 00:57:10,560 Speaker 1: during a pandemic. Uh. My neighborhood gets a lot of 981 00:57:10,600 --> 00:57:13,120 Speaker 1: tricker treats. So we have to like figure out what 982 00:57:13,160 --> 00:57:15,640 Speaker 1: we're gonna do. Yeah, what are what are you going 983 00:57:15,680 --> 00:57:18,439 Speaker 1: to do? I think just put like a bench out 984 00:57:18,480 --> 00:57:20,640 Speaker 1: that just says like see you next year, but then 985 00:57:20,880 --> 00:57:23,800 Speaker 1: and then just hope people aren't too mad. But I 986 00:57:23,840 --> 00:57:26,360 Speaker 1: also think like nobody, like none of our neighbors are 987 00:57:26,400 --> 00:57:30,040 Speaker 1: planning on like doing trigger treating. So I was so 988 00:57:30,120 --> 00:57:32,760 Speaker 1: excited on New Year's for I was one of those 989 00:57:32,760 --> 00:57:38,959 Speaker 1: guys who was like twenties the year because changed the country, change, 990 00:57:38,960 --> 00:57:41,120 Speaker 1: We're gonna get a new leader. Everything's gonna be great, 991 00:57:41,480 --> 00:57:45,480 Speaker 1: blah blah blah. And then like wow, just like life 992 00:57:45,480 --> 00:57:50,960 Speaker 1: comes at you quick, I've gotten rocked. Yeah yeah, it's uh, 993 00:57:51,040 --> 00:57:54,640 Speaker 1: it's rough, and it's rough on those trigger treats. The 994 00:57:54,760 --> 00:58:00,680 Speaker 1: naive hope of New Year's December one a funk I 995 00:58:00,920 --> 00:58:03,320 Speaker 1: was on New Year's part of me wants to get 996 00:58:03,320 --> 00:58:06,560 Speaker 1: the PVC pipe and drop the candy down from the 997 00:58:06,680 --> 00:58:09,880 Speaker 1: second floor like a slide. Not about the dope. But 998 00:58:09,920 --> 00:58:17,560 Speaker 1: then it's like some kids head open just like firing them. 999 00:58:17,640 --> 00:58:20,280 Speaker 1: There comes some job breakers kids. But you're also like 1000 00:58:20,320 --> 00:58:22,920 Speaker 1: putting pressure on your neighbors to then like come up 1001 00:58:22,960 --> 00:58:26,640 Speaker 1: with some strategy. And also it's like for the people 1002 00:58:26,760 --> 00:58:29,760 Speaker 1: receiving the candy, like do they want to receive candy 1003 00:58:29,840 --> 00:58:34,200 Speaker 1: from like some house you know that's like knock on 1004 00:58:34,240 --> 00:58:38,560 Speaker 1: the PVC pipe. Oh that in my neighborhood. Like you 1005 00:58:38,600 --> 00:58:41,680 Speaker 1: just sit out front and there's a line like people. 1006 00:58:43,040 --> 00:58:45,200 Speaker 1: So you're like one of those mobile games, like those 1007 00:58:45,240 --> 00:58:47,640 Speaker 1: mobile zombie games where you have the machine gun mowing 1008 00:58:47,680 --> 00:58:52,840 Speaker 1: down zombies, like walls of enemies, like walls of trick treaters, 1009 00:58:53,240 --> 00:58:58,320 Speaker 1: tarret of candy. Yeah, yeah, candy Turretybody knows Jack doesn't 1010 00:58:58,320 --> 00:59:02,760 Speaker 1: live in Beverly Hills now that's yeah, that's that's his own. Yeah, 1011 00:59:04,200 --> 00:59:05,680 Speaker 1: I don't. I have never lived in an l a 1012 00:59:05,720 --> 00:59:08,120 Speaker 1: neighborhood that felt like that, at least not in the 1013 00:59:08,160 --> 00:59:10,480 Speaker 1: street that felt like that. I've always felt like it 1014 00:59:10,600 --> 00:59:15,040 Speaker 1: was dead. I've always lived in or like yeah, I've 1015 00:59:15,040 --> 00:59:16,880 Speaker 1: always lived in a neighborhood where I had to go 1016 00:59:16,960 --> 00:59:20,920 Speaker 1: to another neighborhood trick or treat. I never lived in 1017 00:59:21,040 --> 00:59:23,400 Speaker 1: like the lit trick or treating neighborhood. Yeah, we did 1018 00:59:23,480 --> 00:59:25,200 Speaker 1: the We did the when I was a kid. We 1019 00:59:25,240 --> 00:59:27,560 Speaker 1: did the pillow cases and we got out. We didn't 1020 00:59:27,880 --> 00:59:31,800 Speaker 1: we got we got on bikes. Yeah, we would go 1021 00:59:31,840 --> 00:59:33,880 Speaker 1: down to a street, run up and down the street. 1022 00:59:34,160 --> 00:59:36,200 Speaker 1: It was not about fun. It was about who gets 1023 00:59:36,280 --> 00:59:42,360 Speaker 1: the most numbers. Numbers that's always funny. There's always that 1024 00:59:42,440 --> 00:59:46,560 Speaker 1: group of kids that is like sprinting full speed. You know. 1025 00:59:46,760 --> 00:59:48,920 Speaker 1: Parents were drinking beers and like what the funk was 1026 00:59:49,000 --> 00:59:51,840 Speaker 1: that a bunch of fucking minions ran by me and 1027 00:59:51,920 --> 00:59:55,440 Speaker 1: tea for us? It was like how many pillow cases 1028 00:59:55,520 --> 00:59:58,560 Speaker 1: can I get? Right to the point? Do you ever 1029 00:59:58,600 --> 01:00:00,800 Speaker 1: bring him to school? Did every of somebody like yo, 1030 01:00:01,040 --> 01:00:04,040 Speaker 1: check this out and just laid down the heavy bag 1031 01:00:04,160 --> 01:00:06,560 Speaker 1: on you and like get into trouble that, like the 1032 01:00:06,640 --> 01:00:09,080 Speaker 1: teachers like you can't bring this ship here? What are 1033 01:00:09,080 --> 01:00:11,040 Speaker 1: you doing? I also grew up in upstate New York 1034 01:00:11,120 --> 01:00:16,720 Speaker 1: where it was freezing by Halloween, so cold, so people 1035 01:00:18,080 --> 01:00:20,080 Speaker 1: entire Oh my god, I would we would have like 1036 01:00:20,480 --> 01:00:23,600 Speaker 1: Parkas on you know, like Parka over your ninja costume 1037 01:00:23,680 --> 01:00:27,000 Speaker 1: or whatever. It was like, you know, it's just like 1038 01:00:27,040 --> 01:00:30,840 Speaker 1: a ninja warming up on the sidelines. And I'm forgetting 1039 01:00:30,880 --> 01:00:33,200 Speaker 1: the brand. But there was like a really popular brand 1040 01:00:33,280 --> 01:00:36,200 Speaker 1: of puffy coat that I think it was like First 1041 01:00:36,720 --> 01:00:39,720 Speaker 1: Ascent or something like that. Uh, it wasn't north Face 1042 01:00:39,760 --> 01:00:42,120 Speaker 1: because we couldn't afford north Face. It was like whatever 1043 01:00:42,240 --> 01:00:47,400 Speaker 1: mountain was under the bootleg version of that and first 1044 01:00:47,440 --> 01:00:49,680 Speaker 1: gear or something. Oh god, I'm gonna remember it. But anyway, 1045 01:00:49,680 --> 01:00:51,200 Speaker 1: I remember like all the old people like, well, what 1046 01:00:51,360 --> 01:00:53,640 Speaker 1: are you supposed to be this year? And I was like, 1047 01:00:53,800 --> 01:00:59,520 Speaker 1: I'm cold and a rush motherfucker butter finger. God damnit, 1048 01:00:59,560 --> 01:01:01,360 Speaker 1: when are you going to get king size? Neighbors got 1049 01:01:01,440 --> 01:01:04,480 Speaker 1: him up the street man and back in the day 1050 01:01:04,560 --> 01:01:07,960 Speaker 1: they would give you a plastic baggy with homemade cookies 1051 01:01:08,040 --> 01:01:11,720 Speaker 1: sometimes and I was like, nowadays, no way, now, no 1052 01:01:11,960 --> 01:01:14,240 Speaker 1: one would eat that nowadays. Oh yeah, because everyone I 1053 01:01:14,280 --> 01:01:17,439 Speaker 1: remember like when edibles like weed edible started, like that's 1054 01:01:17,480 --> 01:01:20,800 Speaker 1: always like the trick d jr Click bait for concerning 1055 01:01:21,320 --> 01:01:25,800 Speaker 1: is handing out everyone's like too expensive, too expensive, I'm 1056 01:01:25,840 --> 01:01:29,160 Speaker 1: wasting on the fucking kid, You dumb better watch out. 1057 01:01:29,360 --> 01:01:32,440 Speaker 1: Look at the labels that I'm handing kids, Like what 1058 01:01:32,680 --> 01:01:35,960 Speaker 1: five milligram chocolate covered blueberries or something like that? Those 1059 01:01:36,000 --> 01:01:37,760 Speaker 1: are expensive and I love them. Yeah you know how 1060 01:01:37,840 --> 01:01:40,720 Speaker 1: much a tin of chocolate covered Kiva's cost. I'm not 1061 01:01:41,040 --> 01:01:43,120 Speaker 1: bawling out of control, and I wouldn't waste it on 1062 01:01:43,200 --> 01:01:45,960 Speaker 1: a twelve year old dressed as Spider. Whoever, when I 1063 01:01:46,000 --> 01:01:48,040 Speaker 1: go I'm always like I always go and throwing a 1064 01:01:48,120 --> 01:01:50,800 Speaker 1: couple of chocolate covered Kiva tints to the blueberries, and 1065 01:01:50,800 --> 01:01:55,160 Speaker 1: they're like, okay, four okay, let's those. I'll just take 1066 01:01:55,160 --> 01:01:59,360 Speaker 1: the rolling papers. No, no, not how much that that's 1067 01:01:59,400 --> 01:02:05,480 Speaker 1: four hundred. You know that story probably was born out 1068 01:02:05,520 --> 01:02:08,600 Speaker 1: of some fucking parent whose kid found it and had 1069 01:02:08,640 --> 01:02:10,560 Speaker 1: to be quick on their feet, like, oh my god, 1070 01:02:10,760 --> 01:02:14,480 Speaker 1: someone must have given this. Holy sh it, you really 1071 01:02:14,560 --> 01:02:18,000 Speaker 1: don't know who our neighbors are. You really fairs bueller 1072 01:02:18,080 --> 01:02:21,240 Speaker 1: ass little kid who's gullible ass parents are like, I'm 1073 01:02:21,320 --> 01:02:25,520 Speaker 1: calling the local news. This is bad enough. They gave 1074 01:02:25,600 --> 01:02:30,440 Speaker 1: him a whole bong um, Yeah, a little blunt. I 1075 01:02:30,560 --> 01:02:36,240 Speaker 1: can't believe it. Uh Halloween cookies though, the the ones 1076 01:02:36,320 --> 01:02:40,200 Speaker 1: that are like basically butter that go around that it 1077 01:02:40,400 --> 01:02:44,560 Speaker 1: go there, like little uh cupcakes that go around the 1078 01:02:46,800 --> 01:02:50,840 Speaker 1: around the Reese's cup, the mini Reese's cup. You know 1079 01:02:50,960 --> 01:02:57,400 Speaker 1: that one? Oh yes, yes, put it in. Yeah yeah. 1080 01:02:57,760 --> 01:03:02,680 Speaker 1: Shout out to those baked goods, yea Halloween. Halloween has 1081 01:03:02,760 --> 01:03:06,360 Speaker 1: some good bake goods associated with it. Yeah, you know what, 1082 01:03:06,480 --> 01:03:08,280 Speaker 1: I think That's what I'll do. I'm just gonna buy 1083 01:03:08,320 --> 01:03:11,040 Speaker 1: one of those Pillsbury tubes where you slice off the cookies, 1084 01:03:11,160 --> 01:03:14,800 Speaker 1: like the pumpkin ones. Yeah, like three of those smoke 1085 01:03:15,040 --> 01:03:19,720 Speaker 1: blunt uh and watch watch some like fucking Arsenal highlights 1086 01:03:19,920 --> 01:03:24,760 Speaker 1: and we're good. Yeah. Play a little Halloween music is 1087 01:03:24,760 --> 01:03:30,240 Speaker 1: pretty fun too. There's like some good spooky jams. Somebody's 1088 01:03:30,280 --> 01:03:34,880 Speaker 1: watching me. Thriller, Monster Mash, Monster Mashes the Jam. Yeah, 1089 01:03:35,040 --> 01:03:38,440 Speaker 1: we were playing that this morning in my house. Is 1090 01:03:38,480 --> 01:03:41,600 Speaker 1: there a Dave Matthews Halloween album. There is a Dave 1091 01:03:41,640 --> 01:03:45,320 Speaker 1: Matthews creepy song it's called and Another Thing. There's also 1092 01:03:45,400 --> 01:03:48,600 Speaker 1: a Dave Matthews song called Halloween, I think there is. 1093 01:03:49,280 --> 01:03:51,320 Speaker 1: And there's a great war song called Warehouses. Kind of 1094 01:03:51,360 --> 01:03:54,959 Speaker 1: creepy too. Um, but the and Another Thing is weird. 1095 01:03:55,040 --> 01:04:01,280 Speaker 1: It's the song where like he's just like and it's 1096 01:04:01,320 --> 01:04:04,080 Speaker 1: just it's really weird. It's on the crash. Like I 1097 01:04:04,200 --> 01:04:09,200 Speaker 1: just looked at the lyrics to Halloween and like, like 1098 01:04:09,360 --> 01:04:12,960 Speaker 1: this could be just a random word generator's version of 1099 01:04:13,080 --> 01:04:16,760 Speaker 1: Dave Matthew's lyrics the first verse, Hey little Dreamer's eyes 1100 01:04:16,920 --> 01:04:20,360 Speaker 1: open and staring up at me. It's like that's just 1101 01:04:20,760 --> 01:04:25,360 Speaker 1: such a Dave Matthews as lyric he's like, hey, little dreamers, 1102 01:04:25,600 --> 01:04:31,680 Speaker 1: a little lonely as open and radiant. Hell, yeah, Dave, 1103 01:04:32,200 --> 01:04:34,600 Speaker 1: stay with what you do. Dave knows what he does, 1104 01:04:34,840 --> 01:04:36,960 Speaker 1: and he knows what he's good at, and he does it. 1105 01:04:37,400 --> 01:04:41,880 Speaker 1: It's Halloween about being rejected three times after proposing marriage, 1106 01:04:42,920 --> 01:04:44,880 Speaker 1: is it? I don't know. When you look at like 1107 01:04:45,040 --> 01:04:50,520 Speaker 1: people's like, uh, like genius analysis of the lyrics, I'm like, oh, wow, okay, cool. 1108 01:04:51,480 --> 01:04:57,080 Speaker 1: Why that's lonely? Why that's lonely love? That's w Yeah, 1109 01:04:57,120 --> 01:05:00,040 Speaker 1: that's that's not very Halloween. You could turn their I 1110 01:05:00,760 --> 01:05:03,880 Speaker 1: wonder if artists look at their genius though interpretations are 1111 01:05:04,000 --> 01:05:09,959 Speaker 1: like really, oh huh okay, interesting, that's that's deep. Okay. 1112 01:05:11,600 --> 01:05:13,960 Speaker 1: It's been a pleasure having you as always man. Where 1113 01:05:14,000 --> 01:05:17,840 Speaker 1: can people find you? Follow you? My Instagram and my 1114 01:05:17,920 --> 01:05:20,960 Speaker 1: Twitter are my name at beza daibu which is b 1115 01:05:21,280 --> 01:05:26,400 Speaker 1: e h z A D d A b. You please 1116 01:05:26,440 --> 01:05:29,720 Speaker 1: follow me for cool takes, good takes always good takes. 1117 01:05:30,200 --> 01:05:33,160 Speaker 1: Hell there and is there a tweet or some of 1118 01:05:33,240 --> 01:05:38,000 Speaker 1: the work of social media you've been enjoying Claudia Conway. 1119 01:05:40,320 --> 01:05:48,560 Speaker 1: I love her. Yeah, she's a savior. She I thought 1120 01:05:48,600 --> 01:05:50,840 Speaker 1: it was like a terrible I thought it was a 1121 01:05:50,920 --> 01:05:53,480 Speaker 1: joke in the beginning, but the way she dealt with 1122 01:05:53,640 --> 01:05:55,520 Speaker 1: like she put up a poll and she was like, 1123 01:05:55,920 --> 01:05:57,880 Speaker 1: who should adopt me? And it was like Rashida to 1124 01:05:57,960 --> 01:06:01,240 Speaker 1: lee by Onano Pressley and AOC, And I was like, 1125 01:06:01,640 --> 01:06:05,840 Speaker 1: I love it, Like like she loves AOC, she supports 1126 01:06:05,880 --> 01:06:08,720 Speaker 1: Black Lives Matter, she says to defund the police, and 1127 01:06:09,080 --> 01:06:12,240 Speaker 1: she has evil spawned his mom and she says it, 1128 01:06:12,320 --> 01:06:14,520 Speaker 1: and I I love it. I also loved it when 1129 01:06:14,600 --> 01:06:16,480 Speaker 1: she they were like, yeah, you and your dad got 1130 01:06:16,560 --> 01:06:18,760 Speaker 1: to get out, and her response was, my dad's a 1131 01:06:18,800 --> 01:06:21,240 Speaker 1: horrible Republican too, just because he hates Trump. Don't give 1132 01:06:21,320 --> 01:06:25,960 Speaker 1: him a pass. I was like, why, yes, awesome, Miles. 1133 01:06:26,000 --> 01:06:29,880 Speaker 1: Where can people find you? What's a tweet you've been in? Twitter? Instagram? 1134 01:06:30,160 --> 01:06:34,360 Speaker 1: Miles of Gray. Uh. I'm also ninety Day Fiance fans 1135 01:06:34,480 --> 01:06:36,360 Speaker 1: check me out on four twenty Day Fiance and even 1136 01:06:36,400 --> 01:06:39,600 Speaker 1: also if you like The Bachelor Bachelorette more specifically, I'm 1137 01:06:39,640 --> 01:06:42,200 Speaker 1: on this week's episode or the episode one of the 1138 01:06:42,200 --> 01:06:44,360 Speaker 1: episodes that dropped this week of Will You Accept This Rose? 1139 01:06:44,720 --> 01:06:48,440 Speaker 1: With Arden Marine on I Heart Radio with Lacy Moseley. Actually, 1140 01:06:48,600 --> 01:06:52,160 Speaker 1: I'm talking about all these New Bachelorette contestants without hearing 1141 01:06:52,200 --> 01:06:54,720 Speaker 1: them say a single word. And my takes are Magma 1142 01:06:54,840 --> 01:06:57,440 Speaker 1: level hot, and some might be so hot I may 1143 01:06:57,480 --> 01:06:59,080 Speaker 1: have to come back and give, you know, apologize to 1144 01:06:59,120 --> 01:07:01,160 Speaker 1: the wait. So you're giving your take just based on 1145 01:07:01,280 --> 01:07:03,840 Speaker 1: pictures of them, Yeah, because there's like a roster of 1146 01:07:03,920 --> 01:07:06,000 Speaker 1: like all the contestants where it's just a headshot in 1147 01:07:06,160 --> 01:07:09,280 Speaker 1: bio and some like one guy was like he manages 1148 01:07:09,440 --> 01:07:13,080 Speaker 1: cover bands of nineties boy bands, and I'm like, this guy, 1149 01:07:15,480 --> 01:07:21,720 Speaker 1: his whole identity is being trapped in Yeah. Also, this 1150 01:07:21,880 --> 01:07:24,920 Speaker 1: man might be holding onto his youth in a dangerous way. Now. 1151 01:07:25,040 --> 01:07:27,840 Speaker 1: Tweet that I like shout out to at Starfall Systems 1152 01:07:27,920 --> 01:07:30,040 Speaker 1: or even shouting meat being like, hey, check this tweet 1153 01:07:30,080 --> 01:07:31,640 Speaker 1: up because I'm not really on here, so I like 1154 01:07:31,760 --> 01:07:33,680 Speaker 1: the mentions. I like, you know, they're not they're they're 1155 01:07:33,680 --> 01:07:36,240 Speaker 1: pretty wholesome. So shout out to you for shouting this 1156 01:07:36,320 --> 01:07:39,720 Speaker 1: tweet out. It's from Mike Drucker at Mike Drucker Um 1157 01:07:39,920 --> 01:07:43,760 Speaker 1: quote tweeting Senator Senator Marcia Blackburn that says the word 1158 01:07:43,800 --> 01:07:46,960 Speaker 1: abortion does not appear in the Constitution, and Mike Drucker 1159 01:07:47,000 --> 01:07:50,240 Speaker 1: tweets neither does the word PlayStation, but I wake up 1160 01:07:50,320 --> 01:07:52,760 Speaker 1: grateful every morning that both have kept me from being 1161 01:07:52,800 --> 01:08:03,800 Speaker 1: a father. That so good. You can find me on 1162 01:08:03,880 --> 01:08:07,680 Speaker 1: Twitter at jack Underscore O'Brien a couple of tweets I've 1163 01:08:07,720 --> 01:08:12,640 Speaker 1: been enjoying. Katie Golden did a whole thread with people 1164 01:08:12,920 --> 01:08:16,519 Speaker 1: requesting fictional animals and she would actually find the real 1165 01:08:16,680 --> 01:08:21,559 Speaker 1: animal in her knowledge of like adorable and weird animals. 1166 01:08:22,160 --> 01:08:25,479 Speaker 1: Uh so find Katie Golden. Follow her. She is an 1167 01:08:25,479 --> 01:08:30,760 Speaker 1: amazing Follow at Katie Golden K T I E G 1168 01:08:31,080 --> 01:08:34,519 Speaker 1: O L D I and uh. And then another tweet, 1169 01:08:34,600 --> 01:08:40,280 Speaker 1: I've been enjoying mass convulsions tweeted Michael Jackson's pronouns are 1170 01:08:40,520 --> 01:08:51,599 Speaker 1: he he succeeded if I've made Miles say SI stupid. 1171 01:08:54,360 --> 01:08:56,519 Speaker 1: Find us on Twitter at daily zeit guys were at 1172 01:08:56,600 --> 01:08:59,040 Speaker 1: the Daily Zeit guys on Instagram. We have Facebook fan 1173 01:08:59,080 --> 01:09:01,439 Speaker 1: page and a website daily zeitgeis dot com, where we 1174 01:09:01,520 --> 01:09:04,800 Speaker 1: post our episodes in our footnotes, where we link off 1175 01:09:04,840 --> 01:09:06,880 Speaker 1: to the information that we talked about in today's episode, 1176 01:09:06,880 --> 01:09:09,120 Speaker 1: as well as the song we ride out on Miles. 1177 01:09:09,320 --> 01:09:11,439 Speaker 1: What are we riding out on Tuesday? We're going out 1178 01:09:11,479 --> 01:09:15,040 Speaker 1: on l A just O G of the b c 1179 01:09:15,439 --> 01:09:18,559 Speaker 1: Ross g uh. And this is a track called dirty 1180 01:09:18,760 --> 01:09:23,799 Speaker 1: Cutlass uh. And this is some great sample based instrumental music. Raschi. 1181 01:09:24,040 --> 01:09:27,320 Speaker 1: You know, remember the low end theory like I do 1182 01:09:27,520 --> 01:09:31,200 Speaker 1: for the old heads. Yes, some cool shit um yeah. 1183 01:09:31,360 --> 01:09:34,200 Speaker 1: And the dirty cutlasts I've been talking about. Cutlass is 1184 01:09:34,200 --> 01:09:36,120 Speaker 1: a lot. But for you know, people in the West 1185 01:09:36,160 --> 01:09:39,679 Speaker 1: Indians and Africa, they call that what we call machete, 1186 01:09:39,800 --> 01:09:43,920 Speaker 1: they call cutlass. So it's a dirty cutlass all right. Well. 1187 01:09:44,000 --> 01:09:46,439 Speaker 1: The Daily Zeitgeis is a production by Heart Radio. For 1188 01:09:46,520 --> 01:09:49,040 Speaker 1: more podcasts for my heart Radio, visit the I Heart 1189 01:09:49,120 --> 01:09:52,519 Speaker 1: Radio app, Apple podcast, or wherever your listener favorite shows. 1190 01:09:52,560 --> 01:09:55,080 Speaker 1: That's gonna do it for this morning. We'll be back 1191 01:09:55,160 --> 01:09:57,400 Speaker 1: this afternoon to tell you what's trending and we'll talk 1192 01:09:57,439 --> 01:10:12,400 Speaker 1: to you all that. Bye bye fie n by n 1193 01:10:13,320 --> 01:10:28,360 Speaker 1: by n by the Ross us B