1 00:00:00,040 --> 00:00:02,640 Speaker 1: Hello the Internet, and welcome to season thirty one, episode 2 00:00:02,640 --> 00:00:07,040 Speaker 1: three of Dada day Lay's idea for May seventeenth, two 3 00:00:07,080 --> 00:00:11,200 Speaker 1: thousand eighteen. My name is Jack O'Brien aka I'm Jack O'Brien. 4 00:00:12,000 --> 00:00:16,239 Speaker 1: Opened up my eyes. I'm Jack O'Brien and that is 5 00:00:16,480 --> 00:00:20,239 Speaker 1: a throwback to Monday's a k from Chen Constantine. I 6 00:00:20,360 --> 00:00:23,000 Speaker 1: had to go back because I brought up the fact 7 00:00:23,079 --> 00:00:25,800 Speaker 1: that Asa Basse used to be a Nazi band, and 8 00:00:25,840 --> 00:00:28,360 Speaker 1: I forgot to shout out. Adam Todd Brown a T 9 00:00:28,600 --> 00:00:33,080 Speaker 1: Breezy from Cracked uh in the Unpopular Opinion podcast Network. Now, 10 00:00:33,640 --> 00:00:36,479 Speaker 1: that was from one of his columns. It was totally 11 00:00:36,960 --> 00:00:40,840 Speaker 1: his observation. He was actually watching a Nazi documentary heard 12 00:00:40,920 --> 00:00:44,000 Speaker 1: Base of Aces and was like, wouldn't it be weird 13 00:00:44,040 --> 00:00:47,120 Speaker 1: if the band was named after a Nazi basse And 14 00:00:48,080 --> 00:00:52,560 Speaker 1: from there the mystery unraveled. Uh. So yeah, that's had 15 00:00:52,600 --> 00:00:56,360 Speaker 1: to shout that out, uh, And I am thrilled to 16 00:00:56,440 --> 00:00:59,200 Speaker 1: be joined as always by my co host Mr Miles. 17 00:00:59,360 --> 00:01:02,080 Speaker 1: Great spin out of l A, y'all we drop his 18 00:01:02,320 --> 00:01:05,040 Speaker 1: Now tell me how zightety can you get all the 19 00:01:05,120 --> 00:01:07,800 Speaker 1: way from the hood to you negative Hood's rip? One 20 00:01:07,880 --> 00:01:12,199 Speaker 1: thing to shirp miles be good. Thank you so much, 21 00:01:12,680 --> 00:01:15,600 Speaker 1: Anna Claire Hodge for that a game because I like 22 00:01:15,680 --> 00:01:18,080 Speaker 1: old jay Z songs and if you've listened to culture games, 23 00:01:18,160 --> 00:01:20,480 Speaker 1: I feed myself at a jay Z show because I 24 00:01:20,520 --> 00:01:22,119 Speaker 1: did not want to leave the front of the stage. 25 00:01:22,240 --> 00:01:24,920 Speaker 1: So thank you for connecting that. I'm just feeling good. 26 00:01:25,120 --> 00:01:28,480 Speaker 1: I'm just throwback first day. That's a It's a crazy story, 27 00:01:29,080 --> 00:01:31,039 Speaker 1: but I've heard it, so I'm just gonna move on. Well, 28 00:01:31,080 --> 00:01:32,960 Speaker 1: I talk about it almost every time a jay Z 29 00:01:33,040 --> 00:01:37,320 Speaker 1: song comes. Yeah, it's clearly an important moment for you. 30 00:01:37,800 --> 00:01:40,840 Speaker 1: A moment yeah, a r an aal moment for you. 31 00:01:41,120 --> 00:01:43,240 Speaker 1: It kind of gave you you were like, I feel 32 00:01:43,280 --> 00:01:45,360 Speaker 1: like you've learned a lot about who you are when 33 00:01:45,520 --> 00:01:47,840 Speaker 1: you decided to pee instead of go to the back 34 00:01:47,880 --> 00:01:52,040 Speaker 1: of the crowd. My has on days. We're thrilled to 35 00:01:52,200 --> 00:01:56,440 Speaker 1: be joined in our third seat by the hilarious performer 36 00:01:56,600 --> 00:02:01,880 Speaker 1: and artists behind bad Comics. She is honest, Selina's Hi, guys, 37 00:02:02,560 --> 00:02:06,200 Speaker 1: so so excited. I gotta be honest. Ever since Edgar 38 00:02:06,360 --> 00:02:09,959 Speaker 1: was on UH and talked some mad ship about me, 39 00:02:10,160 --> 00:02:15,079 Speaker 1: I've just been burning up with anticipations. Now for first 40 00:02:15,120 --> 00:02:18,120 Speaker 1: time listeners. Who is Edgar? Edgar mom plus here is 41 00:02:18,160 --> 00:02:21,000 Speaker 1: a comedian. He's also my boyfriend and we have kind 42 00:02:21,040 --> 00:02:24,799 Speaker 1: of an ongoing Twitter feud right now, uh, which usually 43 00:02:24,840 --> 00:02:28,720 Speaker 1: involves me dragging him or revealing personal details about his life, 44 00:02:28,760 --> 00:02:32,600 Speaker 1: which I intend to do today. So stick around for 45 00:02:32,639 --> 00:02:34,560 Speaker 1: that secret at the end of the show, unless you 46 00:02:34,560 --> 00:02:36,800 Speaker 1: want to drop a bomb right now. Oh no, I'm 47 00:02:36,840 --> 00:02:40,240 Speaker 1: going to hold on to. Okay, what is something from 48 00:02:40,280 --> 00:02:43,239 Speaker 1: your search history that is revealing? Oh? Actually, yeah, so 49 00:02:43,639 --> 00:02:49,280 Speaker 1: I recently, uh googled is it okay to put garlic 50 00:02:49,400 --> 00:02:55,120 Speaker 1: up your butt? Because Edgar revealed to me that the 51 00:02:55,320 --> 00:02:59,200 Speaker 1: first time we hooked up. Uh, he man, this is 52 00:02:59,480 --> 00:03:03,320 Speaker 1: I forgot. The details are so personal. Uh you didn't 53 00:03:03,639 --> 00:03:08,040 Speaker 1: mean I Like, I hadn't recounted it in my head yet. H. 54 00:03:08,280 --> 00:03:12,560 Speaker 1: He had a hemorrhoid and he was googling like homeopathic 55 00:03:12,680 --> 00:03:15,320 Speaker 1: remedies and one of them is to put garlic up 56 00:03:15,680 --> 00:03:18,919 Speaker 1: So he did that and I didn't know that, and 57 00:03:19,040 --> 00:03:21,720 Speaker 1: I guess he didn't want to hook up like the 58 00:03:21,800 --> 00:03:24,880 Speaker 1: next time we hooked, like hung out or something. This 59 00:03:25,040 --> 00:03:29,320 Speaker 1: is months ago, but uh, and I didn't understand why 60 00:03:29,440 --> 00:03:31,000 Speaker 1: at the time. I thought he was being so weird, 61 00:03:31,120 --> 00:03:34,040 Speaker 1: and now I know it's because he literally had lodged 62 00:03:34,120 --> 00:03:38,280 Speaker 1: a clove of garlic his rectum. Yeah, hanging out for 63 00:03:38,320 --> 00:03:43,920 Speaker 1: the second time. Yeah, garlic, that's crazy. But also like, 64 00:03:44,080 --> 00:03:45,720 Speaker 1: what would he have done if we did and and 65 00:03:45,840 --> 00:03:48,240 Speaker 1: it smelled like garlic, because that's apparently part of it. 66 00:03:48,360 --> 00:03:51,840 Speaker 1: But I googled it and it's actually not a remedy. No, 67 00:03:52,160 --> 00:03:58,280 Speaker 1: it's very very dangerous. Specific well, okay, there are articles 68 00:03:58,320 --> 00:04:00,200 Speaker 1: on the Internet that are like, yeah, yeah, how helps 69 00:04:00,240 --> 00:04:03,680 Speaker 1: it helps with yeast infections, um as well for women, 70 00:04:03,800 --> 00:04:09,760 Speaker 1: but allegedly, but the medical consensus on the internet is 71 00:04:09,960 --> 00:04:12,920 Speaker 1: don't do it. You could get a very bad infection. Yeah, 72 00:04:13,040 --> 00:04:15,560 Speaker 1: oh right, because you're like some weird agricultural prot You're 73 00:04:15,560 --> 00:04:18,279 Speaker 1: putting a foreign object in your butt that is also 74 00:04:18,400 --> 00:04:22,960 Speaker 1: an organic object. One of the most common things that 75 00:04:23,120 --> 00:04:26,159 Speaker 1: emergency medicine sees is just foreign objects in people's butts 76 00:04:26,400 --> 00:04:31,719 Speaker 1: always really yeah, yeah, that's yeah. As the of a doctor. 77 00:04:31,920 --> 00:04:35,159 Speaker 1: This is Charlotte Lawson talking about how like the Haitian 78 00:04:35,240 --> 00:04:40,320 Speaker 1: remedy to everything was garlic. Yeah, because she was like, 79 00:04:40,360 --> 00:04:42,240 Speaker 1: oh I had a shy in my eyes rubbing garlic 80 00:04:42,320 --> 00:04:46,120 Speaker 1: on it, garlic on the on her eyelid and like, 81 00:04:46,240 --> 00:04:48,599 Speaker 1: apparently that works. So I'm thinking, I'm like, I wonder 82 00:04:48,640 --> 00:04:50,400 Speaker 1: if he called his mother and we are learning so 83 00:04:50,560 --> 00:04:54,440 Speaker 1: much about yeah, and his parents both work in medicine. 84 00:04:55,400 --> 00:04:57,640 Speaker 1: Oh yeah, not his mom would be would be probably 85 00:04:57,680 --> 00:05:00,560 Speaker 1: trip if throwing up a little crazy. See, she would 86 00:05:00,560 --> 00:05:02,880 Speaker 1: have thought it was sexual and been like very outrage. 87 00:05:05,000 --> 00:05:07,440 Speaker 1: What is something you think is overrated besides putting garlic 88 00:05:07,560 --> 00:05:11,760 Speaker 1: up your butt? Uh? Yeah, I think The New York 89 00:05:11,839 --> 00:05:15,760 Speaker 1: Times is a little overrated right now. That yeah, I 90 00:05:15,880 --> 00:05:18,200 Speaker 1: mean I have a lot of friends who have been 91 00:05:18,240 --> 00:05:21,520 Speaker 1: telling me for a while, like, you know, the columns 92 00:05:21,560 --> 00:05:24,920 Speaker 1: and the New York Times can be pretty whack, which 93 00:05:25,000 --> 00:05:26,800 Speaker 1: is true. And I've always sort of defended the New 94 00:05:26,880 --> 00:05:32,599 Speaker 1: York Times like, yeah, harding journalism out the daily collar, 95 00:05:32,720 --> 00:05:37,960 Speaker 1: that's good journal Yeah, But I recently realized that I 96 00:05:38,040 --> 00:05:40,440 Speaker 1: have to come to terms with the fact that maybe 97 00:05:40,520 --> 00:05:43,279 Speaker 1: The New York Times isn't all that great because they've 98 00:05:43,320 --> 00:05:47,640 Speaker 1: been trying to do these really millennial stories but they're 99 00:05:47,680 --> 00:05:50,240 Speaker 1: really bombing and I screenshot at a few of them. 100 00:05:50,560 --> 00:05:53,599 Speaker 1: They're ridiculous and I don't want to read them. Columns. 101 00:05:54,040 --> 00:05:59,040 Speaker 1: This is from their like living section Lifestyle Okay, here's one. 102 00:05:59,320 --> 00:06:03,560 Speaker 1: Why work when you can procrass to bake? Uh huh, 103 00:06:04,360 --> 00:06:08,360 Speaker 1: procrastinating through baking the practice of baking something unnecessary. So 104 00:06:08,560 --> 00:06:11,160 Speaker 1: that's like they're doing this thing that you see on 105 00:06:11,240 --> 00:06:15,040 Speaker 1: the internet where you just rewrite the titles for your 106 00:06:15,240 --> 00:06:18,400 Speaker 1: articles in like a fun like sassy gal kind of 107 00:06:19,240 --> 00:06:22,840 Speaker 1: sassy friend. It's like, why why work when you can 108 00:06:23,000 --> 00:06:27,120 Speaker 1: progress the back? Yeah, and it's New York Times. That's 109 00:06:27,160 --> 00:06:32,760 Speaker 1: an editor self perspect Yeah, that's like year one BuzzFeed 110 00:06:32,839 --> 00:06:36,920 Speaker 1: type exactly. So everybody just remade their headline writing with 111 00:06:37,400 --> 00:06:40,800 Speaker 1: BuzzFeed staff. I think, right, yeah, we we don't need 112 00:06:40,880 --> 00:06:42,840 Speaker 1: you for that. We need you for like the real 113 00:06:43,480 --> 00:06:46,760 Speaker 1: foreign Wars journalism. Okay, here's another one. Why am I 114 00:06:46,920 --> 00:06:50,920 Speaker 1: crying all the time? I don't know, why are you crying? 115 00:06:50,960 --> 00:06:54,240 Speaker 1: With all? I thought that was just something you said. 116 00:06:54,480 --> 00:06:56,640 Speaker 1: I mean I did relate to it on some level. 117 00:06:56,839 --> 00:06:58,680 Speaker 1: And what was the story about? Was it a story? 118 00:06:58,760 --> 00:07:01,600 Speaker 1: Is a scientific explanation and about it's about how the 119 00:07:01,760 --> 00:07:06,440 Speaker 1: internet uh is like evoking crying a lot, like through 120 00:07:06,960 --> 00:07:11,080 Speaker 1: Kickstarter videos and like viral homecoming videos like with the 121 00:07:11,240 --> 00:07:15,000 Speaker 1: veteran homecoming stuff. Okay, okay, And then the last one, 122 00:07:15,040 --> 00:07:22,760 Speaker 1: I'll say camembart without raw milk, some cry treason. Wow, 123 00:07:23,280 --> 00:07:26,880 Speaker 1: that's such a specific thing to be outraged about. Like cheese, 124 00:07:27,000 --> 00:07:29,160 Speaker 1: that's bougie. That's like I didn't even know that was 125 00:07:29,240 --> 00:07:32,400 Speaker 1: like you had to use raw milk to make camembart cheese. 126 00:07:32,520 --> 00:07:34,640 Speaker 1: I don't know. I mean, I love cheese. If anyone 127 00:07:34,760 --> 00:07:36,360 Speaker 1: was going to read that story, it was me. And 128 00:07:36,560 --> 00:07:40,040 Speaker 1: did I stop and look because cheese was in the title. Yeah, 129 00:07:40,240 --> 00:07:45,240 Speaker 1: but grow up New York Times. Yeah, I can see 130 00:07:45,280 --> 00:07:47,160 Speaker 1: the cheese thing. That feels like I could have seen 131 00:07:47,240 --> 00:07:51,640 Speaker 1: that maybe in the two thousands, and I don't want to. 132 00:07:52,280 --> 00:07:56,360 Speaker 1: Why am I crying all the time? Is so like millennial? 133 00:07:56,800 --> 00:07:59,160 Speaker 1: Like well, it's probably like, yeah, someone just found out. 134 00:07:59,160 --> 00:08:01,800 Speaker 1: They're like wait, there's like even subreddits devoted to like 135 00:08:02,000 --> 00:08:05,120 Speaker 1: videos that will make you cry. Like interesting, so we 136 00:08:05,200 --> 00:08:07,520 Speaker 1: can frame this is why are we crying all the time? 137 00:08:08,800 --> 00:08:11,640 Speaker 1: The Internet has found ways to package these emotional moments 138 00:08:11,680 --> 00:08:15,640 Speaker 1: and video It's like, okay, alright, st yeah, I love it. 139 00:08:15,760 --> 00:08:20,040 Speaker 1: What is something that's underrated? I think that this is 140 00:08:20,120 --> 00:08:24,800 Speaker 1: sort of abstract. I think the idea of female genius 141 00:08:25,240 --> 00:08:29,600 Speaker 1: is underrated. I like that. Yeah, I think like, especially 142 00:08:29,680 --> 00:08:34,160 Speaker 1: with This is America, we even as liberals, even as 143 00:08:34,240 --> 00:08:40,040 Speaker 1: young people, have still this subconscious bias that only men 144 00:08:40,240 --> 00:08:42,520 Speaker 1: can truly be geniuses. And I think it plays out 145 00:08:42,559 --> 00:08:46,360 Speaker 1: a little bit go with me on this um right now. 146 00:08:46,760 --> 00:08:53,479 Speaker 1: In hip hop, we have like the pinnacle of contemporary 147 00:08:54,000 --> 00:09:02,000 Speaker 1: rap genius in Kendrick mar Little Pump Easy, no Will Day, 148 00:09:02,520 --> 00:09:06,240 Speaker 1: but like Kendrick Lamar and like still jay Z and 149 00:09:07,000 --> 00:09:10,760 Speaker 1: Chilli's childish gambino. And I feel like on the other 150 00:09:10,880 --> 00:09:15,240 Speaker 1: side of like successful breakthrough female rappers, we don't have much. 151 00:09:15,360 --> 00:09:17,920 Speaker 1: I mean Cardi b obviously, I feel like it's the 152 00:09:17,960 --> 00:09:21,520 Speaker 1: biggest contender, And I don't think that people take her 153 00:09:21,559 --> 00:09:26,920 Speaker 1: as seriously as uh, Kendrick Lamar or whatever. And that's 154 00:09:26,960 --> 00:09:29,440 Speaker 1: for maybe a good reason. I mean, she's not super 155 00:09:29,520 --> 00:09:34,959 Speaker 1: overtly political, She's not making really clear political statements in 156 00:09:35,080 --> 00:09:39,319 Speaker 1: her rap. But I think that filtering process of who 157 00:09:39,400 --> 00:09:42,280 Speaker 1: we let breakthrough is also something that plays into that. 158 00:09:42,400 --> 00:09:44,439 Speaker 1: Like I think her genius is the fact that she 159 00:09:44,640 --> 00:09:48,360 Speaker 1: is so consistently putting out hit records. So I think 160 00:09:48,360 --> 00:09:50,120 Speaker 1: on one level, people will try and put it through 161 00:09:50,120 --> 00:09:52,160 Speaker 1: a filter of like, well, what is the context, Like 162 00:09:52,200 --> 00:09:53,920 Speaker 1: what is the content of the words or whatever, and 163 00:09:53,960 --> 00:09:56,800 Speaker 1: like as this person breaking down like societal inequality and 164 00:09:56,840 --> 00:10:00,520 Speaker 1: ship like that, Cardi B is also her g isn't 165 00:10:00,559 --> 00:10:04,360 Speaker 1: that she is sincerely herself and that is already resonating 166 00:10:04,400 --> 00:10:06,920 Speaker 1: with people before the fact that they're like this is 167 00:10:07,120 --> 00:10:10,480 Speaker 1: this is genuine, it's sincere, and it's a fucking their 168 00:10:10,520 --> 00:10:14,760 Speaker 1: turn up songs. So yeah, that's but I'm happy into like, yeah, 169 00:10:14,840 --> 00:10:16,320 Speaker 1: that is part of her success and that is her 170 00:10:16,360 --> 00:10:18,480 Speaker 1: genius I think, is to be so true to what 171 00:10:18,720 --> 00:10:21,679 Speaker 1: it is that makes herself and not just being I 172 00:10:21,720 --> 00:10:24,480 Speaker 1: don't know that. Yeah, it's like we as a culture 173 00:10:24,640 --> 00:10:27,079 Speaker 1: have allowed that, Okay, someone who used to be a 174 00:10:27,160 --> 00:10:30,439 Speaker 1: thirteen year oldrug dealer can be a genius. We accepted that, 175 00:10:30,559 --> 00:10:34,040 Speaker 1: like great, that's true, that's very fair, Like yes, uh, 176 00:10:34,800 --> 00:10:37,480 Speaker 1: jay Z, like this is valid, You're still a genius. 177 00:10:38,080 --> 00:10:40,000 Speaker 1: But I don't think we as a culture I've accepted 178 00:10:40,040 --> 00:10:41,679 Speaker 1: that someone who used to be a stripper can be 179 00:10:41,880 --> 00:10:45,959 Speaker 1: truly I agree totally. Yeah, there's yeah. First of all, 180 00:10:46,000 --> 00:10:48,400 Speaker 1: on the on the subject of like the content of 181 00:10:48,520 --> 00:10:51,040 Speaker 1: the lyrics, I mean people were saying that me Gos 182 00:10:51,280 --> 00:10:55,600 Speaker 1: was like we're geniuses like three years ago and uh, 183 00:10:56,120 --> 00:10:59,040 Speaker 1: you know, I think Cardi B, Like, for instance, she 184 00:10:59,200 --> 00:11:03,439 Speaker 1: dropped her first album, and I remember this New Yorker 185 00:11:03,559 --> 00:11:06,480 Speaker 1: article that was hailing it as a great album talked 186 00:11:06,480 --> 00:11:10,080 Speaker 1: about how hard she had to work to like understand 187 00:11:10,280 --> 00:11:13,240 Speaker 1: hip hop's conventions and like how to write the lyrics, 188 00:11:13,360 --> 00:11:16,520 Speaker 1: like that she had like really studied, she really did. Yeah, 189 00:11:16,600 --> 00:11:18,520 Speaker 1: because it was like a thing she had done casually 190 00:11:18,559 --> 00:11:20,400 Speaker 1: and someone like you could be a rapper, and because 191 00:11:20,480 --> 00:11:23,599 Speaker 1: she's actually a very hard working person, like let me 192 00:11:23,679 --> 00:11:27,880 Speaker 1: really understand the form. But it's it puts emphasis on 193 00:11:28,080 --> 00:11:31,120 Speaker 1: like it being an effortful thing as opposed to her 194 00:11:31,280 --> 00:11:35,280 Speaker 1: just being like going from stripper to just being like 195 00:11:35,440 --> 00:11:37,880 Speaker 1: one of the best rappers. Like she never has a 196 00:11:37,960 --> 00:11:40,679 Speaker 1: misplaced word, like she is really one of the great, 197 00:11:40,840 --> 00:11:44,800 Speaker 1: Like she writes great raps, and people like I feel 198 00:11:44,880 --> 00:11:47,240 Speaker 1: like you're right that if that was a man, people 199 00:11:47,280 --> 00:11:49,440 Speaker 1: would just be like, look how quick he picked this up, 200 00:11:49,800 --> 00:11:53,160 Speaker 1: as opposed to you know, like how look how hard 201 00:11:53,240 --> 00:11:57,360 Speaker 1: he worked to like try and understand this. Card It's 202 00:11:57,800 --> 00:11:59,800 Speaker 1: I think it's because it's so different is that every 203 00:12:00,280 --> 00:12:02,800 Speaker 1: and if we're specifically looking in the context of hip hop, 204 00:12:03,320 --> 00:12:06,440 Speaker 1: it's about your lyricism. And ship like that, and that's 205 00:12:06,480 --> 00:12:08,840 Speaker 1: what this sort of rubric that they're using to determine 206 00:12:08,880 --> 00:12:12,160 Speaker 1: whether or not someone has this genius. Although with like 207 00:12:12,320 --> 00:12:15,000 Speaker 1: Little Wayne, so much of that I think was about 208 00:12:15,160 --> 00:12:17,439 Speaker 1: his word play and it's flow and right, but I 209 00:12:17,480 --> 00:12:19,880 Speaker 1: mean like lyrically, like what is being said like that? 210 00:12:20,160 --> 00:12:21,920 Speaker 1: Like that's how what type of do They're like, oh, 211 00:12:22,000 --> 00:12:24,000 Speaker 1: you've got that late text, but then you talk about 212 00:12:24,080 --> 00:12:28,000 Speaker 1: latext condoms like we like and so and cardis her 213 00:12:28,000 --> 00:12:29,800 Speaker 1: word play isn't that crazy or next level? But I 214 00:12:29,880 --> 00:12:32,760 Speaker 1: think what it is is it's like energetic. It's the energy. 215 00:12:32,800 --> 00:12:35,400 Speaker 1: There's something that even goes beyond what's lyrically there, because 216 00:12:35,520 --> 00:12:38,280 Speaker 1: I mean, to be perfectly honest, none of the ship 217 00:12:38,400 --> 00:12:41,640 Speaker 1: that she's writing is like whoa lyrically, it's on another 218 00:12:41,720 --> 00:12:44,559 Speaker 1: level because the strength isn't about the lyricism with her, 219 00:12:44,679 --> 00:12:47,319 Speaker 1: She just she can create an energy, a theme and 220 00:12:47,400 --> 00:12:50,480 Speaker 1: aesthetic around a track that connects with somebody and now 221 00:12:50,559 --> 00:12:52,920 Speaker 1: everybody's like, oh they got the bloody shoes or they 222 00:12:52,960 --> 00:12:55,640 Speaker 1: got the money bag or whatever. That's what that's where 223 00:12:55,679 --> 00:12:57,360 Speaker 1: the genius is because now you can't get that ship 224 00:12:57,400 --> 00:12:59,000 Speaker 1: out of your head. No one, you know, not many 225 00:12:59,040 --> 00:13:01,040 Speaker 1: people go back and you're like, Y'll remember deep Cover 226 00:13:01,200 --> 00:13:03,400 Speaker 1: ninety eight dead in the middle of Little literally little 227 00:13:03,440 --> 00:13:05,400 Speaker 1: did we know that we riddle some middleman who didn't 228 00:13:05,720 --> 00:13:07,920 Speaker 1: like you know, that's like ship for like heads, you know, 229 00:13:08,000 --> 00:13:09,679 Speaker 1: like the hip hop heads. And I mean, while look 230 00:13:09,679 --> 00:13:12,640 Speaker 1: at Cartie's fucking numbers. She's like, she's putting up fucking 231 00:13:13,000 --> 00:13:16,360 Speaker 1: numbers crazier than most artists male or female and hip hop. 232 00:13:16,920 --> 00:13:18,880 Speaker 1: And I think that's that's really where you can see 233 00:13:18,920 --> 00:13:20,640 Speaker 1: it too, don't. You don't have to parse through the lyrics. 234 00:13:21,040 --> 00:13:24,679 Speaker 1: This is clearly connecting people. People like it. But but 235 00:13:24,800 --> 00:13:26,679 Speaker 1: I do feel like, yeah, I I just feel like 236 00:13:26,720 --> 00:13:29,160 Speaker 1: you're right that it's a word we just don't apply 237 00:13:29,320 --> 00:13:32,679 Speaker 1: to women as easily as we will apply it to men. 238 00:13:32,920 --> 00:13:35,960 Speaker 1: And yeah, whether her genius is like reading the zeitgeist 239 00:13:36,080 --> 00:13:40,560 Speaker 1: or you know actually like you know her her rhyme writing, 240 00:13:41,080 --> 00:13:43,920 Speaker 1: it's it just feels like a thing that you have 241 00:13:44,160 --> 00:13:47,120 Speaker 1: to go above and beyond to to have that word 242 00:13:47,160 --> 00:13:52,080 Speaker 1: applied to you. Um, that's that's a great underrated. Uh 243 00:13:52,280 --> 00:13:57,240 Speaker 1: what is something that's a myth? I think that it is. Okay, 244 00:13:57,320 --> 00:14:00,800 Speaker 1: this is something that came up in conversation recently. Literally 245 00:14:00,880 --> 00:14:04,280 Speaker 1: last night, I was talking to some male friends and 246 00:14:04,559 --> 00:14:09,800 Speaker 1: the question was, do women actually like giving blow jobs? 247 00:14:09,960 --> 00:14:12,520 Speaker 1: Do women actually like it when you come on their face? 248 00:14:13,160 --> 00:14:15,240 Speaker 1: Like I always feel so bad? A guy was saying this, 249 00:14:16,120 --> 00:14:20,920 Speaker 1: and I just feel, Yeah, it's this weird way we 250 00:14:21,000 --> 00:14:25,440 Speaker 1: talk about sex that like erases consent culture, where like 251 00:14:25,960 --> 00:14:32,360 Speaker 1: sometimes how do I say this within a consenting adult 252 00:14:32,400 --> 00:14:38,200 Speaker 1: sexual relationship? Uh, like a bit of degradation like is 253 00:14:38,240 --> 00:14:42,840 Speaker 1: okay and can be something someone wants. Uh. And it's 254 00:14:42,920 --> 00:14:46,000 Speaker 1: sort of like this weird patriarchal man, I've been so 255 00:14:46,160 --> 00:14:51,480 Speaker 1: feminist this morning. Uh yeah, like like women are doing 256 00:14:51,560 --> 00:14:55,960 Speaker 1: then a favor when they do those kinds of sexual acts. Yeah, 257 00:14:56,040 --> 00:14:59,840 Speaker 1: definitely puts it from the male perspective if you're like, like, 258 00:15:00,080 --> 00:15:03,120 Speaker 1: this is probably like not her favorite thing or something 259 00:15:03,200 --> 00:15:06,920 Speaker 1: as opposed to yeah, this is a thing that's happening. Yeah, 260 00:15:07,080 --> 00:15:09,520 Speaker 1: and the moment. And it's also like a I don't 261 00:15:09,520 --> 00:15:12,880 Speaker 1: know yet, like you can you say broadly like how 262 00:15:13,040 --> 00:15:17,640 Speaker 1: women feel about a given sex act like across them. 263 00:15:18,400 --> 00:15:21,400 Speaker 1: And I'm in this, Oh man, I can't really say 264 00:15:21,480 --> 00:15:24,440 Speaker 1: much about this because we're like sworn to secrecy, but 265 00:15:24,560 --> 00:15:28,760 Speaker 1: I'm in this sex positive Women's non binary Facebook group 266 00:15:28,880 --> 00:15:31,960 Speaker 1: right now, that's maybe like a thousand people plus, and 267 00:15:32,120 --> 00:15:36,080 Speaker 1: it is mind blowing how sex positive everyone is. Like 268 00:15:36,480 --> 00:15:40,000 Speaker 1: there's all these conversations about hey, looking for a third 269 00:15:40,520 --> 00:15:43,680 Speaker 1: in my relationship, like we're just looking for the term 270 00:15:43,760 --> 00:15:46,520 Speaker 1: as unicorn um and like a post like that will 271 00:15:46,520 --> 00:15:48,880 Speaker 1: get hundreds of comments with people being like, yeah, I'm 272 00:15:48,960 --> 00:15:52,760 Speaker 1: I'm interested too, Oh I'm interested to um, like lots 273 00:15:52,800 --> 00:15:56,960 Speaker 1: of threads about anal sex and seeing that, I realized, 274 00:15:57,080 --> 00:16:00,440 Speaker 1: oh wow, there is such an extreme degree to which 275 00:16:00,480 --> 00:16:06,200 Speaker 1: we don't normalize kink. Yeah. Yeah then, and I just 276 00:16:06,280 --> 00:16:08,840 Speaker 1: seeing like how every guy was like, yeah, girls don't 277 00:16:08,920 --> 00:16:12,120 Speaker 1: like it when you come on their face. Man saying 278 00:16:12,120 --> 00:16:14,680 Speaker 1: that because I surely wouldn't want to be comed on 279 00:16:14,760 --> 00:16:17,880 Speaker 1: my face. Yeah, yeah, exactly. I'm just not in the 280 00:16:17,920 --> 00:16:22,920 Speaker 1: facial thing because it just feels, I don't know, the 281 00:16:23,080 --> 00:16:26,040 Speaker 1: idea of masturbating at the end of sex, to having 282 00:16:26,040 --> 00:16:28,760 Speaker 1: to achieve an orgasm when you're having sex with a 283 00:16:28,920 --> 00:16:33,640 Speaker 1: human consenting partner feels like a wasted opportunity. I see 284 00:16:33,680 --> 00:16:35,960 Speaker 1: you that, and I raised you this. Yes, if the 285 00:16:36,040 --> 00:16:41,880 Speaker 1: focus of your sexual encounter is female pleasure and uh, 286 00:16:42,240 --> 00:16:45,920 Speaker 1: the woman has finished and you've brought her to climax 287 00:16:46,120 --> 00:16:48,960 Speaker 1: maybe a few times. Uh. It might be a nice 288 00:16:49,040 --> 00:16:52,400 Speaker 1: finished for the man to masturbate and for the woman 289 00:16:52,480 --> 00:16:58,320 Speaker 1: to be like done. I've never satisfied a woman, you said, 290 00:16:58,400 --> 00:17:06,680 Speaker 1: multiple orgasms. I think that should be a running goal. Miles, 291 00:17:06,720 --> 00:17:13,200 Speaker 1: don't worry, it's not possible. Yeah. I actually that women's 292 00:17:13,680 --> 00:17:20,119 Speaker 1: they can't wait. Knew it, knew it. I have a 293 00:17:20,320 --> 00:17:23,280 Speaker 1: couple of phone calls. I need to eat. All right, guys, 294 00:17:23,400 --> 00:17:27,719 Speaker 1: let's get into what people are thinking and talking about today. Uh, 295 00:17:27,880 --> 00:17:32,600 Speaker 1: and carrying over from yesterday, the zeitgeist is still being 296 00:17:32,720 --> 00:17:37,800 Speaker 1: dominated by the great debate of our time. Uh Laurel 297 00:17:38,440 --> 00:17:43,800 Speaker 1: v Yanni or Yanni versus wake Right, So we uh 298 00:17:44,200 --> 00:17:46,920 Speaker 1: played the clip for you guys yesterday. The New York 299 00:17:46,960 --> 00:17:51,000 Speaker 1: Times actually created a great tool for listening to this 300 00:17:51,240 --> 00:17:54,760 Speaker 1: and hearing it from both uh perspectives. Yeah, like the 301 00:17:54,800 --> 00:18:01,080 Speaker 1: New York Times does tion as want both sides her 302 00:18:02,560 --> 00:18:05,280 Speaker 1: talk about later. But so we're gonna play it for 303 00:18:05,520 --> 00:18:09,440 Speaker 1: you kind of the It's basically a continuum, uh on 304 00:18:09,800 --> 00:18:13,560 Speaker 1: like the pitch continuum, because basically the lower you pitch it, 305 00:18:13,720 --> 00:18:15,840 Speaker 1: the easier it is to hear the Laurel. The higher 306 00:18:15,920 --> 00:18:18,560 Speaker 1: you pitch it, the easier it is to hear Yanni. Uh. 307 00:18:18,920 --> 00:18:23,040 Speaker 1: I will say that I feel vindicated because when you 308 00:18:23,280 --> 00:18:27,480 Speaker 1: listen to it from like going in one direction, you like, 309 00:18:27,720 --> 00:18:30,520 Speaker 1: what when you start at the Yanni the high pitch 310 00:18:30,560 --> 00:18:33,439 Speaker 1: extreme and go in the other direction, I hear Yanni 311 00:18:33,560 --> 00:18:36,239 Speaker 1: basically the whole way until I get to the very end. 312 00:18:36,560 --> 00:18:38,359 Speaker 1: And then on the Laurel side, if I start at 313 00:18:38,400 --> 00:18:40,840 Speaker 1: Laurel and go in the other direction, I hear Laurel 314 00:18:40,920 --> 00:18:43,640 Speaker 1: almost the whole way. So it really is like basically 315 00:18:43,760 --> 00:18:47,399 Speaker 1: where you're coming from, like what your memory is bringing 316 00:18:47,560 --> 00:18:53,240 Speaker 1: to each individual hearing experience. But on yesterday's episode, basically 317 00:18:53,320 --> 00:18:55,120 Speaker 1: everybody in the room was like, yeah, it's Laurel. It's 318 00:18:55,119 --> 00:18:58,760 Speaker 1: obviously Laurel. People are crazy for who. And now I've 319 00:18:58,840 --> 00:19:02,639 Speaker 1: encountered lots of people Anna who You are one of 320 00:19:02,720 --> 00:19:06,399 Speaker 1: them who only hears Yanni. Is it Yanni or Yanni? 321 00:19:07,200 --> 00:19:11,920 Speaker 1: You're hearing Yanny? Like yeah, And I've heard from a 322 00:19:11,960 --> 00:19:14,320 Speaker 1: lot of people who think that the Laurel folks are 323 00:19:14,400 --> 00:19:17,800 Speaker 1: fucking with them. I can assure you that's not the case. 324 00:19:17,880 --> 00:19:20,200 Speaker 1: But first, let's hear this. Let's hear this example that 325 00:19:20,240 --> 00:19:24,440 Speaker 1: The New York Times created Laurel Laurel. So this is 326 00:19:24,440 --> 00:19:32,840 Speaker 1: in the middle. You hear Laurel, Laurel. Still here, Laurel, Laurel. 327 00:19:35,240 --> 00:19:36,800 Speaker 1: And then it just goes all the way here now 328 00:19:37,960 --> 00:19:47,680 Speaker 1: so this is y Whoarel there. It just switched back 329 00:19:47,720 --> 00:19:51,280 Speaker 1: over to me. Yeah, yeah, it goes from it switched 330 00:19:51,320 --> 00:19:53,600 Speaker 1: like four ago from. I wonder if it's it really 331 00:19:53,680 --> 00:19:55,480 Speaker 1: is a frequency kind of thing, huh, because there's so 332 00:19:55,560 --> 00:19:57,879 Speaker 1: much information stored in those higher frequencies that Like I 333 00:19:58,040 --> 00:20:02,320 Speaker 1: think that Nick Stump, super producer, and I played in bands, 334 00:20:02,440 --> 00:20:04,200 Speaker 1: and I feel like you lose a lot of that 335 00:20:04,640 --> 00:20:07,960 Speaker 1: that higher end too from playing that. Like I can't 336 00:20:08,000 --> 00:20:10,320 Speaker 1: hear a lot of higher frequency stuff, And I wonder 337 00:20:10,359 --> 00:20:12,560 Speaker 1: if that kind of puts me at a disadvantage because 338 00:20:12,640 --> 00:20:14,960 Speaker 1: I'm not a lot of those frequencies aren't in my hearing, 339 00:20:15,200 --> 00:20:18,000 Speaker 1: like in my sonic range. Yeah. Yeah, I heard until 340 00:20:18,840 --> 00:20:22,439 Speaker 1: in the beginning. You heard all the way from the beginning. 341 00:20:22,520 --> 00:20:25,040 Speaker 1: I heard all the way until all of a sudden 342 00:20:25,280 --> 00:20:28,119 Speaker 1: when you I think we both nodded to each other 343 00:20:28,200 --> 00:20:31,240 Speaker 1: and it went Laurel and then and then I heard 344 00:20:32,800 --> 00:20:36,560 Speaker 1: as it was scaling up right, Yeah, I heard Hardy 345 00:20:36,720 --> 00:20:39,879 Speaker 1: to quote a joke from the producer on Asa Laurel 346 00:20:39,960 --> 00:20:48,280 Speaker 1: and Hardy bang, thanks for explaining so, but yeah, I 347 00:20:48,720 --> 00:20:51,000 Speaker 1: do think it has to do with we think that 348 00:20:51,080 --> 00:20:54,359 Speaker 1: we're hearing with our sensory organs and seeing with our 349 00:20:54,400 --> 00:20:59,159 Speaker 1: sensory organs, and it's actually like a huge interaction between 350 00:20:59,200 --> 00:21:01,760 Speaker 1: our memory and like our brain and how it's storing 351 00:21:01,800 --> 00:21:06,119 Speaker 1: information and what our expectations are going into it that 352 00:21:06,800 --> 00:21:11,200 Speaker 1: like kind of completely determines how we hear. And I 353 00:21:11,280 --> 00:21:14,000 Speaker 1: believe that, like I have one of those names, um 354 00:21:14,280 --> 00:21:18,720 Speaker 1: like your lovely producer, my name is Anna, and I 355 00:21:18,960 --> 00:21:24,000 Speaker 1: whenever people say mom, I hear my name and mama 356 00:21:24,240 --> 00:21:28,440 Speaker 1: of course. Uh so I wonder I feel like a 357 00:21:28,520 --> 00:21:31,920 Speaker 1: lot of people hear their name with certain words or 358 00:21:31,960 --> 00:21:34,840 Speaker 1: people that have those. So whenever you hear mama, you 359 00:21:34,960 --> 00:21:38,040 Speaker 1: hear your name. Yeah, oh hardcore. Yeah. I used to 360 00:21:38,160 --> 00:21:43,200 Speaker 1: teach kindergarten and they would say mama a lot. I 361 00:21:43,240 --> 00:21:46,160 Speaker 1: would hear my name m hm. They would just say 362 00:21:46,200 --> 00:21:51,160 Speaker 1: that like as their moms were dropping them off or something. Yeah, yeah, 363 00:21:52,119 --> 00:21:57,840 Speaker 1: just so mean to them that. Yeah, it was so 364 00:21:58,080 --> 00:22:00,119 Speaker 1: mean to them, but I reduced them. Did you like, 365 00:22:00,240 --> 00:22:04,080 Speaker 1: look at this Nelace bullshit. It was like Giovanni Ravisi's 366 00:22:04,160 --> 00:22:07,120 Speaker 1: character and saving Private Ryan when he's dying and he's 367 00:22:07,160 --> 00:22:11,840 Speaker 1: like Mama, Yeah, very very hard scene to watch, very hard. 368 00:22:12,040 --> 00:22:16,560 Speaker 1: I showed it to them every day, Private Ryan, do 369 00:22:16,640 --> 00:22:19,280 Speaker 1: you know what happened on Omaha Beach Dog Green Sector? 370 00:22:20,240 --> 00:22:22,200 Speaker 1: And if they didn't like it, then they could leave 371 00:22:22,240 --> 00:22:25,000 Speaker 1: the Forget Juno and sword Beat. It was all about Omaha, guys, 372 00:22:25,040 --> 00:22:28,080 Speaker 1: and that's what we're talking about. All Right, We're gonna 373 00:22:28,119 --> 00:22:38,840 Speaker 1: take a quick break. We'll be right back, and we're back, 374 00:22:39,760 --> 00:22:46,560 Speaker 1: and you guys missed an amazing display of just accent perfections. 375 00:22:47,280 --> 00:22:50,560 Speaker 1: Producer on a hose ni A Uh just crushing it 376 00:22:50,720 --> 00:22:54,879 Speaker 1: as always. Like I've said, she and Leonardo DiCaprio are 377 00:22:54,960 --> 00:22:57,760 Speaker 1: the have the two best South African accents I've ever 378 00:22:57,840 --> 00:23:00,720 Speaker 1: heard imitated. It's just that he is trying to do 379 00:23:00,800 --> 00:23:03,600 Speaker 1: an Australian accent when she does her South African accent. 380 00:23:04,480 --> 00:23:08,080 Speaker 1: Impeccable South Africa. All right, So while we're talking about 381 00:23:08,119 --> 00:23:10,360 Speaker 1: how the brain works, I wanted to give a quick 382 00:23:10,400 --> 00:23:16,560 Speaker 1: shout out to a guy named uh Lebron James. I 383 00:23:16,640 --> 00:23:20,119 Speaker 1: think is is how it's pronounced. So he after just 384 00:23:20,240 --> 00:23:24,240 Speaker 1: getting his ass dragged by the Celtics in Game one. 385 00:23:24,640 --> 00:23:29,119 Speaker 1: Had a press conference where somebody asked him what happened 386 00:23:29,119 --> 00:23:30,760 Speaker 1: at the beginning of the fourth quarter because there was 387 00:23:30,800 --> 00:23:34,280 Speaker 1: a big shift in momentum, and here we're gonna listen 388 00:23:34,359 --> 00:23:37,280 Speaker 1: to his response. We ran him the first possession. We 389 00:23:37,400 --> 00:23:39,399 Speaker 1: ran him down all the way to two on a 390 00:23:39,440 --> 00:23:42,119 Speaker 1: shot clock. Marcus Morris miss jump shot, followed it up, 391 00:23:42,160 --> 00:23:45,080 Speaker 1: he got it. They got a dunk. We came back down. 392 00:23:45,160 --> 00:23:47,680 Speaker 1: We ran a set for Jordan Crawford, I mean Jordan Clarkson, 393 00:23:48,200 --> 00:23:51,560 Speaker 1: and he came off and missed it. They rebounded it, Um, 394 00:23:52,280 --> 00:23:54,320 Speaker 1: and we came back on the defensive end and we 395 00:23:54,400 --> 00:23:56,200 Speaker 1: got to stop. They took it on on the sideline. 396 00:23:57,480 --> 00:23:59,440 Speaker 1: Jason Tatum took the ball out, through it the Marcus 397 00:23:59,480 --> 00:24:01,840 Speaker 1: smart and show a corner. He made it three. We 398 00:24:01,960 --> 00:24:07,040 Speaker 1: come back down, miss another shot, and then um, Tatum 399 00:24:07,119 --> 00:24:10,159 Speaker 1: came down and went did a your old step. I 400 00:24:10,240 --> 00:24:14,560 Speaker 1: made a right handley of time out. Um. Wow, that 401 00:24:14,680 --> 00:24:19,040 Speaker 1: was the most boring but accurate, right, like retelling him 402 00:24:19,080 --> 00:24:21,680 Speaker 1: a basketball game I've ever heard, right, But I think 403 00:24:21,760 --> 00:24:25,280 Speaker 1: it's so just to put that in perspective, there are 404 00:24:25,960 --> 00:24:30,760 Speaker 1: probably I think a hundred and forty something possessions in 405 00:24:30,920 --> 00:24:33,959 Speaker 1: any NBA basketball game. They just asked him what had 406 00:24:34,119 --> 00:24:36,320 Speaker 1: like to talk about the ones that happened at the 407 00:24:36,480 --> 00:24:39,280 Speaker 1: beginning of the fourth quarter, and he remembered them in detail, 408 00:24:39,560 --> 00:24:43,800 Speaker 1: and that just reminded me of It's basically my favorite 409 00:24:44,280 --> 00:24:48,000 Speaker 1: experiment that's been done with memory, where they showed chess 410 00:24:48,040 --> 00:24:52,960 Speaker 1: grandmasters chessboards with like various formations of the pieces and 411 00:24:53,040 --> 00:24:56,400 Speaker 1: they basically had photographic memories, like they could just look 412 00:24:56,480 --> 00:24:59,920 Speaker 1: at it and then you know, close their eyes and 413 00:25:00,040 --> 00:25:02,760 Speaker 1: they could tell you what, tell you exactly where everything 414 00:25:03,160 --> 00:25:06,600 Speaker 1: was on the board, like no matter what. Until they 415 00:25:06,680 --> 00:25:09,919 Speaker 1: tried it again where they put the pieces in positions 416 00:25:10,000 --> 00:25:12,920 Speaker 1: that they couldn't actually be in in a chess game 417 00:25:13,119 --> 00:25:17,440 Speaker 1: and chess game as it's called, and they couldn't remember 418 00:25:17,480 --> 00:25:19,920 Speaker 1: it because it's so chaotic, they couldn't actually relate that. 419 00:25:20,600 --> 00:25:23,520 Speaker 1: It's like, so, I don't know, it's just interesting. It's 420 00:25:23,600 --> 00:25:27,639 Speaker 1: like speaks to how we remember things and like how uh, 421 00:25:28,240 --> 00:25:31,880 Speaker 1: you know, procedural the our memory is like it has 422 00:25:31,960 --> 00:25:35,000 Speaker 1: to be part of a story that we're telling ourselves, 423 00:25:35,119 --> 00:25:38,640 Speaker 1: and it has to make sense in the flow of events. 424 00:25:38,960 --> 00:25:43,760 Speaker 1: And it's also the roteness of basketball for Lebron James, Like, 425 00:25:45,160 --> 00:25:48,920 Speaker 1: if you, I wonder, maybe this isn't true. If I 426 00:25:49,000 --> 00:25:52,040 Speaker 1: do an improv scene, I can tell you every beat 427 00:25:52,040 --> 00:25:55,400 Speaker 1: of that improve exactly because I've done a billion of them, 428 00:25:55,520 --> 00:25:59,800 Speaker 1: to my great discord, not fortunate. It's unfortunate that I've 429 00:25:59,800 --> 00:26:01,959 Speaker 1: done them. I think it is. You're pretty smart and witty. 430 00:26:03,200 --> 00:26:08,240 Speaker 1: Anything that was my other overrated I was going. I 431 00:26:08,359 --> 00:26:12,880 Speaker 1: was like, no, I'll make too many enemies. But maybe yeah, 432 00:26:13,200 --> 00:26:16,560 Speaker 1: So I don't know, like just for him, it's all 433 00:26:16,640 --> 00:26:21,639 Speaker 1: stored there because what he's actually doing is so so practiced. Yeah, no, 434 00:26:21,840 --> 00:26:24,960 Speaker 1: I think, and I think it's probably more meaningful to 435 00:26:25,200 --> 00:26:29,240 Speaker 1: him than uh to other people. And also in the 436 00:26:29,320 --> 00:26:33,679 Speaker 1: same way that an improv scene. If somebody who doesn't 437 00:26:33,720 --> 00:26:36,240 Speaker 1: give a shit about improv goes to an improv show 438 00:26:36,280 --> 00:26:38,800 Speaker 1: and they're just like there to laugh, they're not they're 439 00:26:38,800 --> 00:26:41,400 Speaker 1: gonna remember like two moments, but you remember every beat 440 00:26:41,640 --> 00:26:44,199 Speaker 1: because you're in it, and it's very meaning. What's all 441 00:26:44,240 --> 00:26:45,960 Speaker 1: about how much of the matrix you can see in 442 00:26:46,000 --> 00:26:47,920 Speaker 1: a given situation, right, you know what I mean? Like 443 00:26:48,000 --> 00:26:49,639 Speaker 1: an improv of course you're going to see the matrix 444 00:26:49,680 --> 00:26:51,560 Speaker 1: because you have to to know, Okay, well, this is 445 00:26:51,600 --> 00:26:54,240 Speaker 1: the choice this person made. How can I build on 446 00:26:54,359 --> 00:26:56,320 Speaker 1: that or not. You'll also remember when someone makes a 447 00:26:56,320 --> 00:26:58,480 Speaker 1: shitty choice, because like Bro, you had a opportunity to 448 00:26:58,480 --> 00:27:00,960 Speaker 1: take the scene somewhere and you just sing and saying 449 00:27:00,960 --> 00:27:03,600 Speaker 1: with Especially with basketball, like you know that you have 450 00:27:03,680 --> 00:27:05,879 Speaker 1: to see the matrix, especially for Lebron James, who probably 451 00:27:05,880 --> 00:27:09,000 Speaker 1: at this point has seven hundred thousand hours in basketball, 452 00:27:09,240 --> 00:27:12,359 Speaker 1: is fully seeing the matrix. I'm trying to think of 453 00:27:12,480 --> 00:27:15,960 Speaker 1: what's something that I could do. I don't know, maybe 454 00:27:16,000 --> 00:27:19,639 Speaker 1: a game with FIFA ILD. Probably I could probably remember, 455 00:27:19,680 --> 00:27:24,159 Speaker 1: oh you know what suggest your past? No, man, we 456 00:27:24,280 --> 00:27:27,239 Speaker 1: do this so much. We oftentimes are like, what did 457 00:27:27,320 --> 00:27:30,120 Speaker 1: we talk about? Did I say that? Although when I've 458 00:27:30,160 --> 00:27:32,840 Speaker 1: heard listen to like episodes back, I kind of I'm 459 00:27:32,880 --> 00:27:34,680 Speaker 1: back in there and I'm feeling like, oh this, I 460 00:27:34,760 --> 00:27:38,119 Speaker 1: might say something here Jackson just runs together. So I 461 00:27:38,160 --> 00:27:40,560 Speaker 1: don't know for the best example, we have most brains, 462 00:27:40,720 --> 00:27:44,520 Speaker 1: but I definitely remember jokes that I've heard that are 463 00:27:44,600 --> 00:27:49,080 Speaker 1: like good jokes. And I remember like movie plots like 464 00:27:49,359 --> 00:27:52,280 Speaker 1: in detail and movie lines in detail, and where I 465 00:27:52,400 --> 00:27:55,960 Speaker 1: saw every movie that I've seen, Like that's for me 466 00:27:56,480 --> 00:28:00,760 Speaker 1: like uselessly, it's just like watching movies. I remember everything 467 00:28:00,800 --> 00:28:04,359 Speaker 1: about the Lebron James of what I just remember. I 468 00:28:04,440 --> 00:28:07,960 Speaker 1: remember most of my friends old like hard lined telephone 469 00:28:08,040 --> 00:28:10,639 Speaker 1: numbers from when back when I was a young we 470 00:28:10,640 --> 00:28:12,439 Speaker 1: didn't have cell phones, so I had to bal people's 471 00:28:12,440 --> 00:28:14,280 Speaker 1: phone numbers. But I have I have all those phone 472 00:28:14,359 --> 00:28:17,720 Speaker 1: numbers that it was important we didn't have social Mine 473 00:28:17,720 --> 00:28:20,359 Speaker 1: are gone. The only phone number I know is my 474 00:28:20,480 --> 00:28:23,919 Speaker 1: home phone number, which has since been disconnected. Right. Sometimes 475 00:28:24,000 --> 00:28:25,960 Speaker 1: it was crazy, even like as I you know, and 476 00:28:26,280 --> 00:28:28,600 Speaker 1: as I became more reliant on the cell phone, even 477 00:28:28,720 --> 00:28:31,120 Speaker 1: with people I would date who you typically are calling 478 00:28:31,200 --> 00:28:34,080 Speaker 1: all the time, I realized I didn't even know their numbers. Yeah, 479 00:28:34,480 --> 00:28:36,280 Speaker 1: which is crazy. You just store it and you just 480 00:28:36,359 --> 00:28:37,920 Speaker 1: tap a button around and I'm like, oh, is that 481 00:28:38,240 --> 00:28:40,160 Speaker 1: I could see them? Like is that your number? I 482 00:28:40,240 --> 00:28:44,680 Speaker 1: know area codes? But like people who are memory like 483 00:28:44,840 --> 00:28:48,200 Speaker 1: champions who like they actually have competitions where they'll like 484 00:28:48,320 --> 00:28:50,720 Speaker 1: put thirty decks of cards and then just like flip 485 00:28:50,800 --> 00:28:52,840 Speaker 1: them over and you have to memorize exactly what order 486 00:28:52,880 --> 00:28:55,560 Speaker 1: they were in. Those people like say that the way 487 00:28:55,760 --> 00:28:58,160 Speaker 1: that they do that is by telling themselves a story 488 00:28:58,720 --> 00:29:01,280 Speaker 1: and so it kind of ties to that, like you 489 00:29:01,520 --> 00:29:08,120 Speaker 1: are basically putting it in the flow of the memory. Yeah, 490 00:29:08,120 --> 00:29:11,000 Speaker 1: because I remember when I was talking with a guy 491 00:29:11,040 --> 00:29:13,920 Speaker 1: who counts cards, that's exactly the thing. It's like, Oh, 492 00:29:13,960 --> 00:29:16,640 Speaker 1: I picture a house, and the front room will have 493 00:29:16,760 --> 00:29:19,200 Speaker 1: these objects that king like in each card is an option, 494 00:29:19,280 --> 00:29:20,840 Speaker 1: an item in the room. So if I come in 495 00:29:20,880 --> 00:29:22,480 Speaker 1: the living room, there might not be the couch in 496 00:29:22,560 --> 00:29:24,240 Speaker 1: this room. It might be in the other bedroom. It's 497 00:29:24,680 --> 00:29:26,880 Speaker 1: hard to do more of that because my memory is bad, 498 00:29:27,040 --> 00:29:30,800 Speaker 1: and I read that you're more likely to get Alzheimer's 499 00:29:30,920 --> 00:29:34,160 Speaker 1: if you're not like working your memory constantly. Yeah, mental 500 00:29:34,200 --> 00:29:39,080 Speaker 1: elasticity is important. Yeah. Alright, let's talk about some events 501 00:29:39,320 --> 00:29:43,520 Speaker 1: that are happening currently in the news. Hawaii is going 502 00:29:43,640 --> 00:29:46,120 Speaker 1: off right now. We don't have a whole lot to 503 00:29:46,200 --> 00:29:49,480 Speaker 1: say other than that the full on eruption, cool looking 504 00:29:49,600 --> 00:29:52,720 Speaker 1: lava flow that we were talking about last week has 505 00:29:52,800 --> 00:29:57,040 Speaker 1: turned into ash shooting into the sky. Thirty thousand feet 506 00:29:57,240 --> 00:30:00,720 Speaker 1: high is how high the like ash call them is going, 507 00:30:00,880 --> 00:30:05,640 Speaker 1: which is really high. Uh. Mount St. Helen went eighty 508 00:30:05,720 --> 00:30:09,080 Speaker 1: thousand feet. That's the largest volcanic eruption in the history 509 00:30:09,080 --> 00:30:13,880 Speaker 1: of the United States, but uh, that like altered the temperature, 510 00:30:13,960 --> 00:30:17,040 Speaker 1: and the one in Iceland in two thousand ten, they 511 00:30:17,080 --> 00:30:19,400 Speaker 1: think altered the temperature by a couple of degrees, like 512 00:30:19,560 --> 00:30:22,000 Speaker 1: for the next couple of years because it shot so 513 00:30:22,160 --> 00:30:25,840 Speaker 1: much matter into the atmosphere that there were just yeah, yeah, 514 00:30:26,440 --> 00:30:29,920 Speaker 1: there's just more cloud cover. So we don't know how 515 00:30:30,040 --> 00:30:34,160 Speaker 1: this necessarily compares to those, but the winter is coming 516 00:30:34,680 --> 00:30:37,600 Speaker 1: prepared last time I checked. While on the news this morning, 517 00:30:37,640 --> 00:30:39,840 Speaker 1: they were saying how they were calling like a catastrophic 518 00:30:39,920 --> 00:30:44,160 Speaker 1: steam event basically where the lava lake inside the volcano 519 00:30:44,360 --> 00:30:47,520 Speaker 1: is is sinking and eventually we'll reach this like level 520 00:30:47,560 --> 00:30:50,360 Speaker 1: of water, the groundwater basically, and then that interacts the 521 00:30:50,520 --> 00:30:53,920 Speaker 1: temperatures will just you know, collide, create a bunch of 522 00:30:53,960 --> 00:30:56,360 Speaker 1: steam and shoot up so many they're saying, all kinds 523 00:30:56,400 --> 00:30:59,120 Speaker 1: of rubble and like boulders. They're saying some like up 524 00:30:59,160 --> 00:31:01,600 Speaker 1: to the size of refree raiders or small cars at 525 00:31:01,640 --> 00:31:04,520 Speaker 1: a hundred twenty miles an hour, which is a lot. 526 00:31:04,880 --> 00:31:08,040 Speaker 1: But luckily that most of the area around Kilauea is 527 00:31:08,120 --> 00:31:11,360 Speaker 1: not really like a place where people live. It's not inhabitable, 528 00:31:11,680 --> 00:31:14,320 Speaker 1: so there isn't too great a risk of any kind 529 00:31:14,360 --> 00:31:19,960 Speaker 1: of injury. But still many Earth is tripping. Yeah, I mean, 530 00:31:20,120 --> 00:31:22,120 Speaker 1: I don't know why, but that is all just a 531 00:31:22,240 --> 00:31:26,560 Speaker 1: natural occurrence. There's no man, I feel dumb asking this question. 532 00:31:27,320 --> 00:31:30,160 Speaker 1: Human No one triggered the earthquake. Yeah, no, it wasn't 533 00:31:30,160 --> 00:31:33,160 Speaker 1: Oklahoma where they've just been like fracking and fracking and 534 00:31:34,440 --> 00:31:38,640 Speaker 1: these earthquakes. Y uh not that. I think this volcano 535 00:31:38,680 --> 00:31:42,400 Speaker 1: has been going off for years now, and like Hawaii 536 00:31:42,480 --> 00:31:45,640 Speaker 1: has been an active volcano. I think for like its 537 00:31:45,840 --> 00:31:49,920 Speaker 1: entire existence, it's just like moving eastward essentially. But yeah, 538 00:31:50,080 --> 00:31:53,440 Speaker 1: that brings up just another interesting thing I recently learned 539 00:31:53,520 --> 00:31:57,240 Speaker 1: is that Earth has an underground ocean that is three 540 00:31:57,360 --> 00:32:00,480 Speaker 1: times the amount of water that is on the surface 541 00:32:00,600 --> 00:32:03,400 Speaker 1: of the planet. Uh are you found that uber fact 542 00:32:03,480 --> 00:32:06,160 Speaker 1: Twitter account or something that? Wait, what is that? There's 543 00:32:06,200 --> 00:32:09,600 Speaker 1: a ocean? Part two? Yeah, there's just water. There's a 544 00:32:09,720 --> 00:32:13,360 Speaker 1: ton of water down by the Core. How is it? 545 00:32:13,720 --> 00:32:15,200 Speaker 1: I don't remember that in the movie The Core. I 546 00:32:15,240 --> 00:32:17,320 Speaker 1: don't think they were hit that part. Yeah, no, they 547 00:32:17,400 --> 00:32:21,040 Speaker 1: must have missed it. That movie was drinking all that mountain. 548 00:32:22,400 --> 00:32:25,400 Speaker 1: But wait, why how is it still water? Wouldn't it 549 00:32:25,480 --> 00:32:29,000 Speaker 1: be not in liquid water form? If it's that hot. 550 00:32:29,480 --> 00:32:31,760 Speaker 1: Look I'm not on trial here. Yeah, Look, we're not 551 00:32:31,760 --> 00:32:35,080 Speaker 1: a scientist man, second podcast. Honestly, most of what I 552 00:32:35,160 --> 00:32:38,680 Speaker 1: know about the Earth's core is from that movie The Core. Well, 553 00:32:38,720 --> 00:32:41,040 Speaker 1: Delroy Lindo's feet melt off. Let me signing. I think 554 00:32:41,040 --> 00:32:43,040 Speaker 1: it's Delroy Lindo. Right. You guys think I'm reading a 555 00:32:43,080 --> 00:32:47,400 Speaker 1: news article. I'm just watching. You're like, damn, it's working 556 00:32:47,480 --> 00:32:49,720 Speaker 1: up everything. Yeah, they got to set off a nuclear 557 00:32:49,840 --> 00:32:54,120 Speaker 1: warhead in the core. It started back up. It sounds right, Yeah, 558 00:32:54,160 --> 00:32:58,120 Speaker 1: it makes sense. All right, let's talk a little politics, Miles, 559 00:32:58,320 --> 00:33:01,080 Speaker 1: a little bit, a wee bit, maybe a lot of it. 560 00:33:01,560 --> 00:33:03,880 Speaker 1: We have so much ship we talked about and kick 561 00:33:03,960 --> 00:33:07,160 Speaker 1: the outrage machine in a high gear on a daily basis, Uh, 562 00:33:07,280 --> 00:33:09,560 Speaker 1: that it's important to also talk about things that are 563 00:33:09,640 --> 00:33:13,320 Speaker 1: being done that are trying to achieve some kind of 564 00:33:13,400 --> 00:33:17,960 Speaker 1: level of equality in this country. Specifically, shared Brown was 565 00:33:18,120 --> 00:33:20,760 Speaker 1: at this cap Ideas conference, which is the Center for 566 00:33:20,800 --> 00:33:24,480 Speaker 1: American Progress. They have like this annual conference, and when 567 00:33:24,520 --> 00:33:27,120 Speaker 1: he spoke, he spoke on a panel, and afterwards on Twitter, 568 00:33:27,200 --> 00:33:29,240 Speaker 1: he kind of like let people know some tax policies 569 00:33:29,280 --> 00:33:31,800 Speaker 1: that he felt like we should probably consider when we 570 00:33:31,960 --> 00:33:34,920 Speaker 1: overhaul our tax system, unlike the massive corporate giveaway we 571 00:33:35,000 --> 00:33:38,480 Speaker 1: had back in December, something that will actually help American 572 00:33:38,680 --> 00:33:41,560 Speaker 1: working people. Um, and a lot of the ideas are 573 00:33:41,880 --> 00:33:44,400 Speaker 1: I mean, just tell me if this sounds reasonable to you. Okay, Well, 574 00:33:44,440 --> 00:33:47,640 Speaker 1: the first one is the Patriot Employers Tax Credit. Now, 575 00:33:47,720 --> 00:33:50,520 Speaker 1: that is a credit that rewards employers who commit to 576 00:33:50,640 --> 00:33:54,440 Speaker 1: keeping jobs the United States pay workers well, uh, encourage 577 00:33:54,480 --> 00:33:56,120 Speaker 1: them to create more good paying jobs. And when we 578 00:33:56,160 --> 00:33:58,880 Speaker 1: say they pay them well, we mean like a living wage, 579 00:33:59,280 --> 00:34:02,920 Speaker 1: actual benefit. It's like healthcare, retirement, things like that. And 580 00:34:03,240 --> 00:34:05,440 Speaker 1: those are the countries that deserve a tax credit that 581 00:34:05,680 --> 00:34:08,359 Speaker 1: literally actually keep their jobs in the United States as 582 00:34:08,360 --> 00:34:10,319 Speaker 1: opposed to like a headquarters here and then you can 583 00:34:11,000 --> 00:34:14,080 Speaker 1: hide your money elsewhere. I mean, that seems fine. Anything 584 00:34:14,160 --> 00:34:15,920 Speaker 1: with the word patriot in and I think is good 585 00:34:15,960 --> 00:34:19,880 Speaker 1: for the American I mean, that's that's shared than the 586 00:34:19,920 --> 00:34:22,279 Speaker 1: other one, which he also good good buzzwords here, is 587 00:34:22,440 --> 00:34:27,480 Speaker 1: the corporate freeloader fee. Now, a lot of companies like McDonald's, Walmart, 588 00:34:27,640 --> 00:34:30,320 Speaker 1: they'd be paying people so little money that they actually 589 00:34:30,360 --> 00:34:33,399 Speaker 1: themselves have to apply for benefits, for welfare benefits because 590 00:34:33,400 --> 00:34:35,319 Speaker 1: they're not actually paid enough by the employer and they 591 00:34:35,360 --> 00:34:39,560 Speaker 1: don't offer benefits. So what this does is requires companies 592 00:34:39,600 --> 00:34:41,880 Speaker 1: that pay their workers so little that they actually have 593 00:34:42,000 --> 00:34:44,160 Speaker 1: to they have to pay, like they have to reimburse 594 00:34:44,200 --> 00:34:46,960 Speaker 1: the taxpayer for underpaying these people. So it's just kind 595 00:34:46,960 --> 00:34:48,840 Speaker 1: of like, Okay, you want to underpay these people, well, 596 00:34:48,920 --> 00:34:50,560 Speaker 1: this is the tax you have to pay, because that 597 00:34:50,600 --> 00:34:52,960 Speaker 1: will help offset the fact that these people have to 598 00:34:53,000 --> 00:34:55,239 Speaker 1: actually be on benefits. I mean, I don't see why 599 00:34:55,680 --> 00:35:00,040 Speaker 1: McDonald's are Walmart needs more of a handout normal It 600 00:35:00,560 --> 00:35:03,280 Speaker 1: seems fine, okay, And again these are just his ideas. 601 00:35:03,560 --> 00:35:06,800 Speaker 1: I mean, hopefully he will introduce these pieces of legislation 602 00:35:06,880 --> 00:35:11,960 Speaker 1: which will probably not get fully voted. One's actually uh 603 00:35:12,280 --> 00:35:14,880 Speaker 1: well named. Not that I'm only listening to the title 604 00:35:15,000 --> 00:35:17,759 Speaker 1: and correct tuning everything out else out, but you're like 605 00:35:19,320 --> 00:35:23,560 Speaker 1: the corporate freeloader free I like, because calling corporations freeloaders 606 00:35:23,800 --> 00:35:26,600 Speaker 1: is very I don't know, it's like something that I 607 00:35:26,680 --> 00:35:31,480 Speaker 1: can get behind. And that's because they're fucking vampires or something. 608 00:35:31,520 --> 00:35:33,200 Speaker 1: The country drive and the finally that he has the 609 00:35:33,320 --> 00:35:36,320 Speaker 1: Working Families Tax Relief Act, uh and I'm going to 610 00:35:36,440 --> 00:35:38,799 Speaker 1: quote him here, which would expand access for working people 611 00:35:38,960 --> 00:35:42,279 Speaker 1: to the earned income tax Credit and child tax credit. Uh. 612 00:35:42,320 --> 00:35:44,480 Speaker 1: And now that's because a lot of people get an 613 00:35:44,560 --> 00:35:47,120 Speaker 1: increase in pay and they might be pushed into a 614 00:35:47,200 --> 00:35:49,719 Speaker 1: higher tax bracket and then they're like suddenly like, well, 615 00:35:49,840 --> 00:35:52,000 Speaker 1: that effectively limits the amount of money I have to 616 00:35:52,120 --> 00:35:53,840 Speaker 1: support my family and things like that. So this is 617 00:35:53,920 --> 00:35:58,279 Speaker 1: just about creating eligibility for those benefits. These all sound great, 618 00:35:58,320 --> 00:36:02,480 Speaker 1: and these ideas and these kinds of legislation is really 619 00:36:02,600 --> 00:36:04,640 Speaker 1: necessary when you take an account the mid terms and 620 00:36:04,680 --> 00:36:06,680 Speaker 1: the kind of messaging that works, and also what the 621 00:36:06,719 --> 00:36:11,360 Speaker 1: current state is of people's financial situations in this country. 622 00:36:11,440 --> 00:36:14,040 Speaker 1: So the United Way just released a study that shows 623 00:36:14,080 --> 00:36:17,640 Speaker 1: that more than of the households in the United States 624 00:36:17,840 --> 00:36:20,600 Speaker 1: cannot pay the basics of a middle class lifestyle, which 625 00:36:20,640 --> 00:36:24,200 Speaker 1: they define as being able to pay your rent, transportation, childcare, 626 00:36:24,320 --> 00:36:27,440 Speaker 1: and a cell phone. Those that's like the minimum. Now, 627 00:36:28,120 --> 00:36:30,560 Speaker 1: they're just showing that, you know clearly that there's this 628 00:36:30,680 --> 00:36:33,840 Speaker 1: group of families that they call ALICE families, which are 629 00:36:33,880 --> 00:36:36,800 Speaker 1: basically in between poverty in the middle class, and ALICE 630 00:36:36,800 --> 00:36:41,560 Speaker 1: stands for asset limited, income constrained employed, And those are 631 00:36:41,600 --> 00:36:45,720 Speaker 1: households who are working, but they earn just very little. 632 00:36:46,040 --> 00:36:47,800 Speaker 1: Like those are many people that we see who have 633 00:36:48,000 --> 00:36:50,239 Speaker 1: hourly income who are just kind of there isn't much 634 00:36:50,360 --> 00:36:53,840 Speaker 1: social upward mobility when you are in a situation like this, 635 00:36:54,200 --> 00:36:56,160 Speaker 1: And these are the kinds of things that really need 636 00:36:56,200 --> 00:36:57,600 Speaker 1: to be addressed. These are the kinds of things that 637 00:36:57,680 --> 00:37:00,239 Speaker 1: affect all people, no matter what party you're in. This 638 00:37:00,400 --> 00:37:02,680 Speaker 1: is a quality of life thing. Yeah, you talked on 639 00:37:02,760 --> 00:37:05,400 Speaker 1: the past episode about how America when you compare it 640 00:37:05,440 --> 00:37:08,400 Speaker 1: to other Western countries, we tend to think of ourselves 641 00:37:08,400 --> 00:37:11,319 Speaker 1: as the land of opportunity, but we actually have far 642 00:37:11,480 --> 00:37:15,239 Speaker 1: less social mobility than countries like Canada has twice as 643 00:37:15,320 --> 00:37:18,920 Speaker 1: much social mobility than the average American. Uh So, you 644 00:37:18,960 --> 00:37:21,960 Speaker 1: know a lot of these institutions have come in and 645 00:37:22,200 --> 00:37:25,480 Speaker 1: made it harder for people to get out of, you know, 646 00:37:25,680 --> 00:37:28,239 Speaker 1: whatever class strata they're at, and we tend to think 647 00:37:28,280 --> 00:37:32,360 Speaker 1: of ourselves as like a classless society. That's crazy, That 648 00:37:32,600 --> 00:37:36,480 Speaker 1: is that is incorrect. Yeah. I mean, I'm half Swedish 649 00:37:36,800 --> 00:37:41,000 Speaker 1: and my family in Sweden is uh truly living in 650 00:37:41,080 --> 00:37:44,279 Speaker 1: a classless society. Not Sweden proper, but they're in this 651 00:37:44,719 --> 00:37:50,480 Speaker 1: island called Orland technically belongs to Finland. But there, I 652 00:37:50,560 --> 00:37:52,880 Speaker 1: mean you truly see what it means to have a 653 00:37:53,000 --> 00:37:57,839 Speaker 1: generally equal class. There aren't really many wealthy people. There's 654 00:37:57,920 --> 00:38:01,759 Speaker 1: one rich guy, yes, three cars, and everyone knows him 655 00:38:01,800 --> 00:38:05,239 Speaker 1: when he and guy I don't remember his name, it's 656 00:38:05,239 --> 00:38:08,719 Speaker 1: like yawn or something. But he gets targeted by the 657 00:38:09,200 --> 00:38:12,400 Speaker 1: traffic cops because it's scaled there. So if you get 658 00:38:12,440 --> 00:38:14,600 Speaker 1: a ticket, it's based on your income, right right, so 659 00:38:14,680 --> 00:38:16,319 Speaker 1: when he pays a ticket, it can be like seven. 660 00:38:17,600 --> 00:38:21,200 Speaker 1: That's justice. That's where we should because things need to 661 00:38:21,239 --> 00:38:24,560 Speaker 1: be scalable and relative to your income, because with one 662 00:38:24,880 --> 00:38:27,719 Speaker 1: kind of legal problem, someone can completely wipe out their 663 00:38:27,760 --> 00:38:31,440 Speaker 1: finances or even sadly here medical medically happened and you're 664 00:38:31,440 --> 00:38:34,279 Speaker 1: completely bankrupted. Now, something makes total sense to me that 665 00:38:34,520 --> 00:38:38,680 Speaker 1: you would just scale laws that have financial consequences to 666 00:38:38,800 --> 00:38:41,040 Speaker 1: how much, because otherwise it's not going to hurt them. 667 00:38:41,680 --> 00:38:43,640 Speaker 1: They can just speed wherever the fun they want. As 668 00:38:43,719 --> 00:38:47,160 Speaker 1: you can see in Beverly's always been like that's the 669 00:38:47,280 --> 00:38:50,759 Speaker 1: land of no traffic lunch. I went through Beverly Hills 670 00:38:50,840 --> 00:38:54,239 Speaker 1: every day to get around there. I would pray I 671 00:38:54,280 --> 00:38:56,080 Speaker 1: would get hit by a car and across walk because 672 00:38:56,120 --> 00:38:58,680 Speaker 1: people man the way people just make right turns into 673 00:38:58,719 --> 00:39:02,320 Speaker 1: a cross rock was next level can't be touched. Like 674 00:39:02,680 --> 00:39:05,680 Speaker 1: all the liberal stereotypes that you hear about people in 675 00:39:06,200 --> 00:39:09,680 Speaker 1: California are wrong, except Beverly Hills is just full of 676 00:39:09,719 --> 00:39:12,520 Speaker 1: the worst people in the world. Now, the other thing 677 00:39:12,560 --> 00:39:14,600 Speaker 1: I want to bring up, since we're on the idea 678 00:39:14,680 --> 00:39:17,080 Speaker 1: of income inequality and we've been talking about the poor People, 679 00:39:17,520 --> 00:39:19,920 Speaker 1: Poor People's Movement and things like that, of really trying 680 00:39:20,000 --> 00:39:23,440 Speaker 1: to really get people to understand sort of what's at 681 00:39:23,440 --> 00:39:25,879 Speaker 1: stake for us as American people who are just trying 682 00:39:25,920 --> 00:39:28,919 Speaker 1: to work to try and achieve some kind of dignified life. 683 00:39:29,440 --> 00:39:33,760 Speaker 1: UM Keith Ellison from Minnesota. He released the study also 684 00:39:33,880 --> 00:39:36,040 Speaker 1: that found that CEOs in the United States, on average 685 00:39:36,080 --> 00:39:40,160 Speaker 1: are paid three hundred thirty nine times more than their workers. So, 686 00:39:40,280 --> 00:39:42,520 Speaker 1: for example, at a hundred eighty eight out of the 687 00:39:42,600 --> 00:39:47,439 Speaker 1: two companies that they analyzed, a single CEO's salary could 688 00:39:47,480 --> 00:39:50,200 Speaker 1: be used to pay more than one hundred workers. And 689 00:39:50,320 --> 00:39:54,440 Speaker 1: they also found that at two the two companies, an 690 00:39:54,480 --> 00:39:57,040 Speaker 1: average employee would need to work for more than forty 691 00:39:57,200 --> 00:40:00,399 Speaker 1: five years to make what their CEO makes in one year. 692 00:40:00,840 --> 00:40:04,040 Speaker 1: So this is what is at steak. This is the 693 00:40:04,200 --> 00:40:08,520 Speaker 1: situation that we are really ignoring in exchange for you know, 694 00:40:08,760 --> 00:40:11,400 Speaker 1: immigrant boogie people and things like that. These are the 695 00:40:11,480 --> 00:40:13,560 Speaker 1: kinds of issues that I feel like, you know, when 696 00:40:13,560 --> 00:40:15,400 Speaker 1: everyone's talking about how do how do we get some 697 00:40:15,480 --> 00:40:18,000 Speaker 1: of these independence to get on board? Talk this ship. 698 00:40:18,400 --> 00:40:21,560 Speaker 1: This is this is really affects you no matter what, 699 00:40:22,000 --> 00:40:24,000 Speaker 1: and it's really something that needs to be addressed. And 700 00:40:24,080 --> 00:40:26,480 Speaker 1: this is the stuff that has changed. Like in nineteen 701 00:40:26,560 --> 00:40:32,680 Speaker 1: fifty Ceota worker ratio was one to one two thousand 702 00:40:33,239 --> 00:40:36,680 Speaker 1: and twenty one, and now yeah, it's insane. It's like, 703 00:40:37,120 --> 00:40:39,680 Speaker 1: I don't understand why we haven't done a better job 704 00:40:39,800 --> 00:40:44,480 Speaker 1: of making our corporate overlords the enemy. Well because they 705 00:40:44,520 --> 00:40:48,160 Speaker 1: sponsor Congress, yeah, but even just as like citizens and 706 00:40:48,200 --> 00:40:51,280 Speaker 1: its journalists and the media. Because we have a corporate 707 00:40:51,320 --> 00:40:54,719 Speaker 1: sponsor journalism. That's why we need the hard hitting journalism. 708 00:40:54,840 --> 00:41:00,080 Speaker 1: That's why talk that. But really though, but guy, it 709 00:41:00,160 --> 00:41:02,200 Speaker 1: is really you know, when you're listening, these are the 710 00:41:02,280 --> 00:41:04,560 Speaker 1: kinds of things that if you get stuck in partisan 711 00:41:04,600 --> 00:41:07,319 Speaker 1: debates about dumb shit, shift the focus to this kind 712 00:41:07,360 --> 00:41:10,279 Speaker 1: of thing because everybody knows somebody who's whether you are 713 00:41:10,360 --> 00:41:12,520 Speaker 1: listening yourself and you are struggling to make ends meet, 714 00:41:12,840 --> 00:41:15,960 Speaker 1: or you have yourself been there and been fortunate enough 715 00:41:16,000 --> 00:41:18,080 Speaker 1: to to to get out of a situation like that. 716 00:41:18,600 --> 00:41:21,120 Speaker 1: These are real issues. These are the things that you know, 717 00:41:21,200 --> 00:41:23,320 Speaker 1: think about how unhappy you are when you don't have 718 00:41:23,400 --> 00:41:26,160 Speaker 1: ship and you feel like you were completely disregarded. These 719 00:41:26,200 --> 00:41:29,000 Speaker 1: are the kinds of things that we just gotta address. Come. Yeah, 720 00:41:29,920 --> 00:41:34,120 Speaker 1: I don't understand how there's not more support for socialized healthcare, 721 00:41:34,400 --> 00:41:36,880 Speaker 1: Like doesn't everyone have cancer? Well, that's why you know, 722 00:41:37,040 --> 00:41:39,560 Speaker 1: we're seeing now more and more people who are even 723 00:41:39,719 --> 00:41:42,920 Speaker 1: left of center or center left for Democrats. There's a 724 00:41:42,960 --> 00:41:45,200 Speaker 1: lot of enthusiasm for candidates like this who are being like, 725 00:41:45,320 --> 00:41:48,040 Speaker 1: we need medicare for all. Yeah. And that's funny because 726 00:41:48,080 --> 00:41:50,399 Speaker 1: before when you just hated Obama and you needed something 727 00:41:50,480 --> 00:41:52,880 Speaker 1: to lightning rod of Obamacare to hate him over and 728 00:41:53,000 --> 00:41:55,359 Speaker 1: think about how many people now who have benefited from them, Like, WHOA, 729 00:41:55,440 --> 00:41:57,919 Speaker 1: don't take my fucking Obamacare. Yeah, I'm running boom Care. Yeah, 730 00:41:57,920 --> 00:41:59,880 Speaker 1: because now you realize, wait, this is a better system. 731 00:42:00,280 --> 00:42:02,520 Speaker 1: I don't want to feel like I'm sure for you 732 00:42:02,640 --> 00:42:05,120 Speaker 1: in Sweden. I have family in Japan. When the whole 733 00:42:05,160 --> 00:42:08,600 Speaker 1: Obamacare discussions going on. Telling somebody that someone could go 734 00:42:08,800 --> 00:42:12,840 Speaker 1: bankrupt from a medical bill was like a total head scratcher, 735 00:42:13,520 --> 00:42:15,840 Speaker 1: Like what do you mean You Like, someone needed treatment 736 00:42:15,880 --> 00:42:18,120 Speaker 1: for their cancer or they had a pre existing condition 737 00:42:18,640 --> 00:42:20,680 Speaker 1: that kept them from getting the full benefits or whatever, 738 00:42:20,840 --> 00:42:22,799 Speaker 1: and they slowly lose their money, they have to drain 739 00:42:22,840 --> 00:42:24,680 Speaker 1: their finances, sell their homes, et cetera. And everyone's like, 740 00:42:24,800 --> 00:42:27,120 Speaker 1: what that doesn't make sense. And what's crazy is like, 741 00:42:27,200 --> 00:42:30,560 Speaker 1: you can still have a private sector in medicine, right, 742 00:42:30,719 --> 00:42:33,320 Speaker 1: you just also have a public option, right, you just 743 00:42:33,400 --> 00:42:35,279 Speaker 1: do it. So look bread, at the bare minimum, you 744 00:42:35,320 --> 00:42:36,920 Speaker 1: can get your leg looked at. You. I mean, you 745 00:42:36,960 --> 00:42:38,520 Speaker 1: can get this looked at if you If you want 746 00:42:38,520 --> 00:42:39,800 Speaker 1: to turn up a little bit and go to some 747 00:42:40,400 --> 00:42:43,120 Speaker 1: really fancy expert, then there's a market for that too. 748 00:42:43,640 --> 00:42:47,640 Speaker 1: But again, but the insurance companies make are are incredibly 749 00:42:47,680 --> 00:42:51,000 Speaker 1: wealthy and incredibly influential, and you know they're going to 750 00:42:51,080 --> 00:42:54,560 Speaker 1: fight this every step of the way. And the only 751 00:42:54,880 --> 00:42:58,680 Speaker 1: way that Obama Kara got done was by letting people 752 00:42:58,760 --> 00:43:02,640 Speaker 1: who were former ensure industry health insurance industry people like 753 00:43:02,760 --> 00:43:08,480 Speaker 1: basically write the laws. So it's it's still a fucking 754 00:43:08,560 --> 00:43:11,520 Speaker 1: mess here. Here in these United States. All right, we're 755 00:43:11,520 --> 00:43:22,040 Speaker 1: gonna take a quick break. We'll be right back. And 756 00:43:22,160 --> 00:43:25,279 Speaker 1: we're back. And so we used to do a thing 757 00:43:25,360 --> 00:43:29,960 Speaker 1: called Trump Free Thursdays, but there's just too much Trump stuff, 758 00:43:30,040 --> 00:43:33,040 Speaker 1: too uh to ignore for a whole day. But so 759 00:43:33,120 --> 00:43:35,360 Speaker 1: we're gonna try and do like a Trump five minutes 760 00:43:35,400 --> 00:43:38,640 Speaker 1: here and just get through some updates in the world. 761 00:43:38,760 --> 00:43:44,960 Speaker 1: Oh Trump uh, one of them a tight five. Trump 762 00:43:45,080 --> 00:43:47,120 Speaker 1: calls Hannity at the end of the day. That's something 763 00:43:47,200 --> 00:43:49,600 Speaker 1: we have failed to mention up to this point, but 764 00:43:49,760 --> 00:43:52,920 Speaker 1: that broke in the past week. That's who he unwinds 765 00:43:53,000 --> 00:43:54,680 Speaker 1: with at the end of the day instead of his 766 00:43:55,120 --> 00:43:58,680 Speaker 1: you know, Reagan head Nancy Uh, George H. W. Bush 767 00:43:58,719 --> 00:44:03,400 Speaker 1: had Barbara Barbara, and Donald has Shawn. I really like 768 00:44:03,560 --> 00:44:06,440 Speaker 1: framing it like that. You know, he's he's like a 769 00:44:07,000 --> 00:44:11,600 Speaker 1: like a relations functioning marriage. He has no functioning personal relationships. 770 00:44:11,719 --> 00:44:14,719 Speaker 1: So he calls the next best thing. Who news comment 771 00:44:15,080 --> 00:44:18,160 Speaker 1: knows what he's telling this man, and like what kind 772 00:44:18,160 --> 00:44:21,320 Speaker 1: of sensitive ship he's even telling him, or just generally 773 00:44:21,480 --> 00:44:24,759 Speaker 1: it's just really it half makes me laugh because I'm like, 774 00:44:25,160 --> 00:44:27,960 Speaker 1: you're I gonna leave with Sean Peter Navarro and Larry 775 00:44:28,000 --> 00:44:30,160 Speaker 1: Cudlow were fighting about terrorists of China. I don't even know. 776 00:44:30,320 --> 00:44:32,680 Speaker 1: Tell me about a babe, Yeah, what's the what's going on? Wait? 777 00:44:32,719 --> 00:44:37,279 Speaker 1: Which one is Peter first? Gary Cohen didn't like or 778 00:44:37,320 --> 00:44:39,200 Speaker 1: do you even listening to me? Sean like, but he 779 00:44:39,320 --> 00:44:43,239 Speaker 1: must be turning down scoops like hand over fist, just 780 00:44:43,480 --> 00:44:47,719 Speaker 1: like he gets like it's not filter for anyone. He's 781 00:44:47,760 --> 00:44:49,799 Speaker 1: definitely like that's the reason he hasn't had a press 782 00:44:49,840 --> 00:44:52,880 Speaker 1: conference in four hundred days. He can't be controlled. He 783 00:44:53,040 --> 00:44:55,920 Speaker 1: calls a guy who's supposed to be a journalist every night, 784 00:44:56,040 --> 00:44:59,399 Speaker 1: so just unwind, and that dude must just be like, yeah, 785 00:44:59,440 --> 00:45:02,040 Speaker 1: I mean would make that would probably win me like 786 00:45:02,120 --> 00:45:05,239 Speaker 1: a pulitzer, But like he's turning it down because he's 787 00:45:05,600 --> 00:45:08,560 Speaker 1: he's not a journalist, he's just the most of the home. Yeah, 788 00:45:08,600 --> 00:45:09,799 Speaker 1: just huddle up and be like, why do you want 789 00:45:09,840 --> 00:45:13,440 Speaker 1: me to spend that? Okay, okay, okay, got it. I 790 00:45:13,480 --> 00:45:15,920 Speaker 1: would love those. Trump's also just like really confiding I'm 791 00:45:15,920 --> 00:45:18,040 Speaker 1: telling lies, Like honestly, we haven't even been talking to 792 00:45:18,120 --> 00:45:21,160 Speaker 1: North Korea. I've just been saying that, oh God, and 793 00:45:21,360 --> 00:45:24,520 Speaker 1: it's just really gonna come down soon paby, but I don't. 794 00:45:24,719 --> 00:45:29,239 Speaker 1: I can't imagine him venting an insecurity. I have to 795 00:45:29,560 --> 00:45:33,040 Speaker 1: because I love seeing I know there's insecurity, but I 796 00:45:33,160 --> 00:45:36,600 Speaker 1: think it's just so internalized and turns into he takes 797 00:45:36,680 --> 00:45:38,959 Speaker 1: it out by doing. And I don't want to kink shame, 798 00:45:39,120 --> 00:45:44,600 Speaker 1: but I shudder to think what his kinks are. I 799 00:45:44,640 --> 00:45:49,000 Speaker 1: think it's just that's what we know, or that his 800 00:45:49,160 --> 00:45:52,640 Speaker 1: daughter is on the cover with uh SO, just speaking 801 00:45:52,719 --> 00:45:54,920 Speaker 1: of his insecurity real quick, miles, you were playing a 802 00:45:54,960 --> 00:45:57,000 Speaker 1: clip earlier. This is not on the dock, but you 803 00:45:57,040 --> 00:46:00,600 Speaker 1: were playing a clip earlier of Pete Davidson him SNL 804 00:46:00,719 --> 00:46:03,400 Speaker 1: talking about the time that Trump came and hosted, and 805 00:46:03,880 --> 00:46:06,680 Speaker 1: it's just you guys got to watch it because you 806 00:46:06,760 --> 00:46:08,480 Speaker 1: might have seen the part where he talks about how 807 00:46:08,520 --> 00:46:13,279 Speaker 1: Trump can't read his theory that well, he saw him 808 00:46:13,360 --> 00:46:15,320 Speaker 1: like sounding words out and not being able to like, 809 00:46:15,680 --> 00:46:17,320 Speaker 1: you know, he can read because he does jazz and 810 00:46:17,360 --> 00:46:19,640 Speaker 1: he doesn't do jazz. You can't read a teleprompter around 811 00:46:19,800 --> 00:46:21,840 Speaker 1: what the fucking pictures show up? And he's put his 812 00:46:21,920 --> 00:46:24,680 Speaker 1: word association is that strong. He's like the like just 813 00:46:25,360 --> 00:46:27,640 Speaker 1: you can read. He just doesn't read books ever. But 814 00:46:27,760 --> 00:46:30,440 Speaker 1: there's also a story about how he hold on I 815 00:46:30,520 --> 00:46:32,680 Speaker 1: like that we just had to do he can read. 816 00:46:34,000 --> 00:46:36,160 Speaker 1: I actually had to defend the fact that I think 817 00:46:36,200 --> 00:46:41,040 Speaker 1: he's literate. I think he probably suffers from undiagnosed dyslexia, 818 00:46:41,360 --> 00:46:44,120 Speaker 1: and he's just always been too proud to admit that 819 00:46:44,440 --> 00:46:47,920 Speaker 1: he has a lot of the hallmarks of somebody who 820 00:46:48,040 --> 00:46:51,200 Speaker 1: had to struggle with a learning disability and like figure 821 00:46:51,239 --> 00:46:56,320 Speaker 1: out ways around the standard. Uh. But that's that's in 822 00:46:56,440 --> 00:47:01,160 Speaker 1: my upcoming book, Trump's I don't know book I Can't 823 00:47:01,239 --> 00:47:04,560 Speaker 1: read good. Uh yeah, what why? Shout Pete Davidson clip 824 00:47:04,680 --> 00:47:07,839 Speaker 1: because he's on Peter Rosenberg Show from high nineties seven. 825 00:47:08,080 --> 00:47:10,120 Speaker 1: But he's talking about when he was on SNL and 826 00:47:10,239 --> 00:47:13,399 Speaker 1: he describes this thing where basically he's claims that Donald 827 00:47:13,400 --> 00:47:15,680 Speaker 1: Trump took a fake phone call to tell announced to 828 00:47:15,719 --> 00:47:18,040 Speaker 1: the room that his book went number one. Uh, and 829 00:47:19,200 --> 00:47:20,759 Speaker 1: you'll watch it. He's just kind of like, yeah, and 830 00:47:20,800 --> 00:47:22,920 Speaker 1: it went down like he just went like this like 831 00:47:23,239 --> 00:47:25,640 Speaker 1: or didn't even like they didn't even ring. He just goes, hello, 832 00:47:25,960 --> 00:47:29,720 Speaker 1: oh my god, that's great, Okay, fantastic my books number one, guys, 833 00:47:29,960 --> 00:47:31,399 Speaker 1: and just hung up. And it was like, bro, there's 834 00:47:31,400 --> 00:47:33,760 Speaker 1: not even time for you to fucking have an exchange 835 00:47:33,800 --> 00:47:39,160 Speaker 1: of words. Anyway, we'll link to that. Um. So, the 836 00:47:39,280 --> 00:47:45,239 Speaker 1: FBI has revealed some of the details from Operation Crossfire Hurricane, 837 00:47:46,160 --> 00:47:50,400 Speaker 1: which is which is what they called the investigation into uh, 838 00:47:50,640 --> 00:47:54,360 Speaker 1: you know, Russian medaling in the two thousand and sixteen 839 00:47:54,360 --> 00:47:59,200 Speaker 1: election and possible uh collusion with the Trump campaign. Uh. 840 00:47:59,600 --> 00:48:04,680 Speaker 1: Cross Hurricane is from a Rolling Stones lyric, just such 841 00:48:04,760 --> 00:48:09,239 Speaker 1: a desperately whack baby boomer bullshit name, like like, hey, 842 00:48:09,880 --> 00:48:12,880 Speaker 1: Rolling Stones, get it, go fund yourselves the FBI. But 843 00:48:13,120 --> 00:48:15,200 Speaker 1: but you did you read it the way it's meant 844 00:48:15,239 --> 00:48:22,120 Speaker 1: to be read cross for hurricane. Yea. So I don't know. 845 00:48:22,239 --> 00:48:25,320 Speaker 1: After reading the New York Times account, Uh, the impression 846 00:48:25,360 --> 00:48:30,239 Speaker 1: I got was that the FBI was exceedingly fair to 847 00:48:30,360 --> 00:48:33,680 Speaker 1: the Trump campaign, like to a fault uh, and unfair 848 00:48:33,719 --> 00:48:38,120 Speaker 1: to the Clinton campaign, based basically entirely on Comey's belief 849 00:48:38,160 --> 00:48:40,840 Speaker 1: that Clinton would win and Trump would lose. There was 850 00:48:40,920 --> 00:48:45,680 Speaker 1: that interview where he talked about how maybe his decision 851 00:48:45,719 --> 00:48:48,200 Speaker 1: making was influenced by his belief that Clinton was going 852 00:48:48,239 --> 00:48:51,600 Speaker 1: to win and he didn't want her, you know, presidency, 853 00:48:51,680 --> 00:48:54,360 Speaker 1: overshadow by the belief that the FBI was you know, 854 00:48:54,520 --> 00:48:59,120 Speaker 1: out here doing her favors. Uh, but being honest, Yeah, 855 00:48:59,760 --> 00:49:02,520 Speaker 1: it's the whole like the same we've talked about how 856 00:49:02,560 --> 00:49:04,799 Speaker 1: the liberal media has been going out of their way 857 00:49:04,880 --> 00:49:08,480 Speaker 1: to cover the conservative point of view. Uh, it's that 858 00:49:08,719 --> 00:49:13,640 Speaker 1: on steroids, they completely gave away the power to conservatives 859 00:49:13,760 --> 00:49:17,640 Speaker 1: by basically triangulating with a point of view that just 860 00:49:18,040 --> 00:49:22,080 Speaker 1: wasn't really very reasonable out of a desire to appear 861 00:49:22,160 --> 00:49:24,279 Speaker 1: even hand. The thing also in the articles, like they 862 00:49:24,400 --> 00:49:27,520 Speaker 1: kind of referenced the fact that back in the build 863 00:49:27,600 --> 00:49:31,000 Speaker 1: up to election day, remember they put out an article 864 00:49:31,239 --> 00:49:35,800 Speaker 1: where the headline was investigating Donald Trump, fbi C is 865 00:49:35,920 --> 00:49:39,000 Speaker 1: no clear link to Russia. So that's the other thing 866 00:49:39,120 --> 00:49:40,759 Speaker 1: that that I missed when I first read the New 867 00:49:40,800 --> 00:49:43,920 Speaker 1: York Times article. But Wan Cat and other people were 868 00:49:44,040 --> 00:49:46,640 Speaker 1: quick to point out that this was essentially the New 869 00:49:46,719 --> 00:49:51,600 Speaker 1: York Times being like, oh yeah, and because I told 870 00:49:51,719 --> 00:49:56,040 Speaker 1: us that, like told us not to emphasize this, We've 871 00:49:56,120 --> 00:49:59,640 Speaker 1: released an article where the headline essentially absolved the Trump 872 00:49:59,760 --> 00:50:06,799 Speaker 1: camp pain at times. Right, that's what you were, right. Well, 873 00:50:07,040 --> 00:50:09,399 Speaker 1: although they then later on, like in that article where 874 00:50:09,400 --> 00:50:12,280 Speaker 1: it says, oh, there's no rush connection, they do actually 875 00:50:12,320 --> 00:50:14,600 Speaker 1: mention that there is an investigation, but it's so deep 876 00:50:14,640 --> 00:50:17,160 Speaker 1: in the article, right they say, they say, like, we 877 00:50:17,320 --> 00:50:20,640 Speaker 1: waited until the New York Times article was informed by 878 00:50:20,680 --> 00:50:24,160 Speaker 1: this FBI you know, investigation and what they were hearing 879 00:50:24,200 --> 00:50:27,160 Speaker 1: from the FBI, and therefore we waited until like the 880 00:50:27,239 --> 00:50:31,000 Speaker 1: eleventh paragraph to talk about these like huge bomb shells 881 00:50:31,040 --> 00:50:35,000 Speaker 1: that were dropping. But like, does any of this add 882 00:50:35,120 --> 00:50:40,319 Speaker 1: up to any sort of action against Trump? I mean, 883 00:50:40,480 --> 00:50:44,920 Speaker 1: at this point, I feel so cynical and tired and 884 00:50:45,200 --> 00:50:50,040 Speaker 1: like he's gonna, you know, go out this term the 885 00:50:50,160 --> 00:50:53,400 Speaker 1: same as he's been in his deep delusion and narcissists. 886 00:50:53,480 --> 00:50:55,080 Speaker 1: I mean, I think this article is more about like 887 00:50:55,160 --> 00:50:57,759 Speaker 1: the early days of this investigation, more for like what 888 00:50:58,120 --> 00:51:01,120 Speaker 1: sort of potential consquince as there are for the president, 889 00:51:01,160 --> 00:51:04,160 Speaker 1: because let's be real, there there there aren't really going 890 00:51:04,239 --> 00:51:06,560 Speaker 1: to be many, as far as I can tell right now. 891 00:51:07,120 --> 00:51:08,920 Speaker 1: I mean, yes, sure, there are many things that we 892 00:51:09,000 --> 00:51:10,920 Speaker 1: can look at and go, oh, yes, objectively that this 893 00:51:11,080 --> 00:51:13,960 Speaker 1: law was broken or whatever. Uh, I don't try and 894 00:51:14,040 --> 00:51:16,200 Speaker 1: get too in the weeds with I think that's how 895 00:51:16,320 --> 00:51:18,480 Speaker 1: I'm going to be, you know, relieved of this hell 896 00:51:18,760 --> 00:51:21,319 Speaker 1: of the president. Aside from you know, what we can 897 00:51:21,360 --> 00:51:24,360 Speaker 1: do to mobile sort of blocks of voters to actually exercise. 898 00:51:24,840 --> 00:51:28,759 Speaker 1: I think it's useful from the standpoint of recognizing how 899 00:51:28,840 --> 00:51:31,160 Speaker 1: big a problem it is that the New York Times 900 00:51:31,280 --> 00:51:34,120 Speaker 1: and the FBI are doing this thing where out of 901 00:51:34,239 --> 00:51:39,040 Speaker 1: even handedness, they are like doing what the conservatives want 902 00:51:39,120 --> 00:51:42,040 Speaker 1: them to do and just not reporting this thing that 903 00:51:42,440 --> 00:51:44,719 Speaker 1: had they reported it as much as they reported the 904 00:51:44,760 --> 00:51:50,879 Speaker 1: Clinton email quote scandal. So this the article, like miles 905 00:51:50,960 --> 00:51:53,560 Speaker 1: of saying, came out like a few days before the 906 00:51:53,600 --> 00:51:56,080 Speaker 1: election that absolved the Trump campaign. If they had just 907 00:51:56,280 --> 00:51:59,279 Speaker 1: put front and center the fact that there is an investigation, 908 00:51:59,760 --> 00:52:04,520 Speaker 1: which true, and it was an article. Yeah, investigation ongoing. 909 00:52:04,640 --> 00:52:06,759 Speaker 1: That's a that's a good enough title. And then just 910 00:52:07,000 --> 00:52:10,360 Speaker 1: right next to it, say another title, how to do laundry, 911 00:52:11,040 --> 00:52:13,880 Speaker 1: which is a real New York Times headline, right right right? 912 00:52:14,640 --> 00:52:18,239 Speaker 1: Why is this making me laugh and cry? Yeah? Is 913 00:52:18,280 --> 00:52:24,759 Speaker 1: this avocado making me smarter? That's perfect, That's what it is. 914 00:52:24,920 --> 00:52:27,400 Speaker 1: You won't believe when you get to the end of 915 00:52:27,480 --> 00:52:33,040 Speaker 1: this article about the Trump campaign, this woman cried, find 916 00:52:33,080 --> 00:52:35,920 Speaker 1: out why? Um, all right, we have to move on 917 00:52:36,080 --> 00:52:40,319 Speaker 1: to some more important news. Uh, there is devastating royal 918 00:52:40,400 --> 00:52:43,560 Speaker 1: wedding news. You guys, Mega Markle's father will not be 919 00:52:43,680 --> 00:52:48,040 Speaker 1: attending to walk her down the ais. That's not the 920 00:52:48,160 --> 00:52:50,640 Speaker 1: latest news. I think if the man doesn't give the 921 00:52:50,760 --> 00:52:56,640 Speaker 1: woman away is not that's that's so there. It was 922 00:52:56,719 --> 00:52:59,840 Speaker 1: back and forth, but she has officially released a statements 923 00:53:00,000 --> 00:53:03,800 Speaker 1: sing that uh, he will not be attending. So basically 924 00:53:03,880 --> 00:53:08,200 Speaker 1: the way this went down is that he was having 925 00:53:08,680 --> 00:53:13,400 Speaker 1: like staged TMZ photo shoots. One of the photographs that 926 00:53:13,520 --> 00:53:16,640 Speaker 1: was taken during these stage photo shoots was one that 927 00:53:16,760 --> 00:53:19,080 Speaker 1: we had talked about on the past episode of blood Washing, 928 00:53:19,600 --> 00:53:25,919 Speaker 1: because he has him in a Starbucks reading a book 929 00:53:26,040 --> 00:53:29,520 Speaker 1: called England and it's just him being like, yeah, I'm 930 00:53:29,600 --> 00:53:32,719 Speaker 1: studying up on England. And then he also had some 931 00:53:32,840 --> 00:53:35,080 Speaker 1: stage pictures of him like trying to get in shape 932 00:53:35,160 --> 00:53:37,520 Speaker 1: for the wedding, and it's really like kind of sad 933 00:53:37,600 --> 00:53:40,239 Speaker 1: and almost sweet that he's like trying to make it 934 00:53:40,320 --> 00:53:43,600 Speaker 1: seem like he is getting ready for the wedding. Check 935 00:53:43,640 --> 00:53:46,759 Speaker 1: from TMZ though too, but they're going to take the 936 00:53:46,840 --> 00:53:49,719 Speaker 1: pictures anyway. But there's one thing we learned about American people. 937 00:53:49,840 --> 00:53:52,920 Speaker 1: If someone is suddenly ascending into a place of power, 938 00:53:53,040 --> 00:53:54,960 Speaker 1: the people around you will try and make money off right, 939 00:53:55,560 --> 00:53:58,600 Speaker 1: But I think that's anything. But it's funny to me 940 00:53:58,680 --> 00:54:00,640 Speaker 1: because when we've appointed it out, we're like, you know, 941 00:54:00,719 --> 00:54:03,239 Speaker 1: that book is like a just a big oversize of 942 00:54:03,360 --> 00:54:06,080 Speaker 1: seemingly picture book with no way he bought that, but 943 00:54:06,160 --> 00:54:08,800 Speaker 1: then you realized she had to play the camera. Is 944 00:54:09,480 --> 00:54:12,360 Speaker 1: it reading on camera? No, get a bigger one. It 945 00:54:12,480 --> 00:54:15,880 Speaker 1: was essentially a coffee table picture book of England's pictures. 946 00:54:16,480 --> 00:54:18,520 Speaker 1: It could be worse. It could be so much. He 947 00:54:18,560 --> 00:54:21,520 Speaker 1: could be like ship talking heart for money from TMS 948 00:54:21,560 --> 00:54:24,880 Speaker 1: no exactly. And his other daughter was doing that, Megan's 949 00:54:24,880 --> 00:54:28,480 Speaker 1: half sister. So all of this stressed him out quite 950 00:54:28,520 --> 00:54:31,719 Speaker 1: a bit. He's a larger gentleman and ended up having 951 00:54:32,880 --> 00:54:36,400 Speaker 1: open heart surgery fairly recently, or heart surgery fairly recently. 952 00:54:36,440 --> 00:54:38,480 Speaker 1: And they say that's a dude to like the just 953 00:54:39,120 --> 00:54:41,680 Speaker 1: stress of him. I mean, no, you can't really see 954 00:54:41,840 --> 00:54:46,880 Speaker 1: what too. But well it's wildly speculate. Yes, yes, definitely 955 00:54:46,960 --> 00:54:51,719 Speaker 1: do congratulations and yourself due to a broken heart. Oh yeah, 956 00:54:51,880 --> 00:54:54,799 Speaker 1: there we got to get fixed. I read a New 957 00:54:54,880 --> 00:54:58,560 Speaker 1: York Times headline about that that was broken heart. Try 958 00:54:58,640 --> 00:55:03,880 Speaker 1: this open heart surgery also avocado toast? Right? Uh? Is 959 00:55:03,960 --> 00:55:06,520 Speaker 1: it gonna be that with her mom will then now 960 00:55:06,640 --> 00:55:09,120 Speaker 1: walk her down the aisle, right, because I feel like 961 00:55:09,160 --> 00:55:11,840 Speaker 1: when the speculation was so crazy over the beginning, like 962 00:55:11,880 --> 00:55:13,320 Speaker 1: will he won't he? Will he won't he if not 963 00:55:14,000 --> 00:55:16,719 Speaker 1: do it? Or like an uncle, yeah I've seen done. 964 00:55:17,320 --> 00:55:21,000 Speaker 1: But also uh, Megan Markle is the people's princess. I'm 965 00:55:21,040 --> 00:55:24,359 Speaker 1: rooting for her. I love that she's all over the news. 966 00:55:24,760 --> 00:55:27,160 Speaker 1: Ever since I was a child, I've been dreaming of 967 00:55:27,280 --> 00:55:30,800 Speaker 1: being a princess and yeah and instead with Garlic. But 968 00:55:33,520 --> 00:55:36,880 Speaker 1: you know what, he has his problems and when he 969 00:55:36,960 --> 00:55:39,719 Speaker 1: came on this podcast, he he really dragged me through 970 00:55:39,719 --> 00:55:43,000 Speaker 1: the mud and claimed that he made me. He's the 971 00:55:43,120 --> 00:55:46,719 Speaker 1: motor running this operations, aimed credit for my success in 972 00:55:46,920 --> 00:55:49,919 Speaker 1: comedy and entertainment. I'm going to take the high ground 973 00:55:49,960 --> 00:55:51,640 Speaker 1: and I'm going to say Edgar is a good guy. 974 00:55:51,719 --> 00:55:55,600 Speaker 1: Deep down. He has his flaws. He has a pair 975 00:55:55,640 --> 00:55:58,520 Speaker 1: of shorts. Have I not have I talking? Well, we 976 00:55:58,600 --> 00:56:01,120 Speaker 1: know about to come. We haven't talked about it on 977 00:56:01,160 --> 00:56:03,360 Speaker 1: the daily. He's like, we haven't. I don't think so, No, 978 00:56:03,480 --> 00:56:07,160 Speaker 1: we did. I think Jack just blocks out of his mind. 979 00:56:08,080 --> 00:56:10,600 Speaker 1: His face literally had a few visceral reaction, you know, 980 00:56:10,800 --> 00:56:12,680 Speaker 1: and people actually, because I tell that in my stand 981 00:56:12,760 --> 00:56:14,640 Speaker 1: up set, people do come up to me and say, 982 00:56:14,920 --> 00:56:18,640 Speaker 1: I'm so sorry, Oh my god, I feel bad about 983 00:56:18,680 --> 00:56:21,200 Speaker 1: the narrative I'm telling, but it's true. I like how 984 00:56:21,280 --> 00:56:23,040 Speaker 1: messy we get on this show. Yeah, but you know 985 00:56:23,120 --> 00:56:25,799 Speaker 1: he's a good guy, so let that be my response. 986 00:56:26,360 --> 00:56:32,399 Speaker 1: I don't need to lower myself to look at you. Sorry, Edgar, Wow, yeah, 987 00:56:32,600 --> 00:56:34,560 Speaker 1: just a better person. Just so people know, he jerks 988 00:56:34,640 --> 00:56:38,080 Speaker 1: off into a short So really, for the rest, that's 989 00:56:38,080 --> 00:56:41,440 Speaker 1: who we're dealing with without cleaning. Yeah, boy, and just 990 00:56:41,920 --> 00:56:49,680 Speaker 1: they stand up on the ground. So uh uh. So 991 00:56:49,920 --> 00:56:52,000 Speaker 1: I don't know this is this is going to be interesting, 992 00:56:53,160 --> 00:56:59,160 Speaker 1: the Royal wedding. Anybody gonna stay up for it? I mean, yeah, 993 00:56:59,200 --> 00:57:01,840 Speaker 1: I'll watch the highlight and when I watched those highlights, 994 00:57:01,880 --> 00:57:05,160 Speaker 1: I will vicariously live through her. So do you think 995 00:57:05,640 --> 00:57:07,800 Speaker 1: I'm always curious? Like because when we were looking on 996 00:57:07,880 --> 00:57:12,600 Speaker 1: Google trends, when the American interest search interest on Google 997 00:57:12,920 --> 00:57:15,160 Speaker 1: spiked when the engagement was announced, and for like a 998 00:57:15,280 --> 00:57:19,320 Speaker 1: week it was like insane. Then it severely dropped off 999 00:57:19,400 --> 00:57:23,120 Speaker 1: and has not spiked ever since. She hasn't done anything surprising, 1000 00:57:23,320 --> 00:57:25,040 Speaker 1: well but no, but just in general, the amount of 1001 00:57:25,120 --> 00:57:28,840 Speaker 1: like the search traffic around this wedding has been very 1002 00:57:29,040 --> 00:57:32,560 Speaker 1: low amongst Americans, at least according to Google. That's why 1003 00:57:32,600 --> 00:57:35,200 Speaker 1: I'm like, I'm trying to line up where people's actual 1004 00:57:35,520 --> 00:57:37,600 Speaker 1: enthusiasm is for this or it's just kind of like 1005 00:57:37,720 --> 00:57:42,920 Speaker 1: our sort of like post colonial, haven't I think? Uh? Okay, 1006 00:57:43,160 --> 00:57:47,280 Speaker 1: I think when we found out about the engagement, we thought, oh, wow, 1007 00:57:47,480 --> 00:57:49,720 Speaker 1: finally someone who's going to be like a little less 1008 00:57:49,800 --> 00:57:54,280 Speaker 1: rehearsed and less prim and proper than the Princess Diana. No, 1009 00:57:54,560 --> 00:57:59,120 Speaker 1: not Diana. She truly before my time. When I look 1010 00:57:59,160 --> 00:58:00,840 Speaker 1: at her, I'm like, she's it's kind of boring. Oh 1011 00:58:00,880 --> 00:58:02,960 Speaker 1: my god, Oh my goodness. I shouldn't say that, but 1012 00:58:03,160 --> 00:58:06,800 Speaker 1: she was like a punk rocker for like the like 1013 00:58:06,960 --> 00:58:11,360 Speaker 1: who is this devil wow school teacher? And also that 1014 00:58:11,640 --> 00:58:15,120 Speaker 1: marriage seemed like it was kind of arranged. But what's 1015 00:58:15,120 --> 00:58:20,360 Speaker 1: her name, Kate? Kate? I truly do forget her name. 1016 00:58:20,560 --> 00:58:25,040 Speaker 1: She's that boring. She's so vanilla. Her name is Middleton. Yeah, 1017 00:58:25,160 --> 00:58:34,080 Speaker 1: she was already upper class. She's just like vanilla. But 1018 00:58:34,440 --> 00:58:36,680 Speaker 1: with Mia Markel, it was like, oh, finally we're going 1019 00:58:36,720 --> 00:58:39,240 Speaker 1: to get someone cool and exciting as exciting as Prince 1020 00:58:39,280 --> 00:58:41,640 Speaker 1: Harry because he's pretty cool. Dude, he's got red hair. 1021 00:58:41,880 --> 00:58:47,240 Speaker 1: Yeah he was, he was a playboy. Um, and yeah 1022 00:58:47,440 --> 00:58:51,680 Speaker 1: she's she's like, isn't like from upper class parents. That 1023 00:58:51,760 --> 00:58:56,120 Speaker 1: was also exciting, but then right, yeah, but what is 1024 00:58:56,240 --> 00:59:01,240 Speaker 1: disappointing is she is in I mean, and she's perfect, 1025 00:59:01,320 --> 00:59:05,880 Speaker 1: she's great, she's so sweet out she's been co opted 1026 00:59:05,960 --> 00:59:10,680 Speaker 1: into the British Royalty machine where no one is ever 1027 00:59:10,760 --> 00:59:12,720 Speaker 1: allowed to step out of line and no one is 1028 00:59:12,760 --> 00:59:16,040 Speaker 1: ever allowed to be surprising. And the interviews, unfortunately, between them, 1029 00:59:16,440 --> 00:59:19,240 Speaker 1: you can tell there's so much that they're not supposed 1030 00:59:19,240 --> 00:59:22,000 Speaker 1: to say that the difference that it's it's a bummer, 1031 00:59:22,080 --> 00:59:27,720 Speaker 1: it's boring, I want juicy gossip. In does not like 1032 00:59:27,880 --> 00:59:30,400 Speaker 1: that ship. And that's why they were like livid about 1033 00:59:30,440 --> 00:59:32,960 Speaker 1: the dad's stuff because they're like, yo, we're not We 1034 00:59:33,080 --> 00:59:35,320 Speaker 1: already have to deal with the like tabloids out here, 1035 00:59:35,800 --> 00:59:40,960 Speaker 1: don't we don't want Yeah. One of our writers, Sam Rudeman, 1036 00:59:41,800 --> 00:59:46,480 Speaker 1: was saying that a people like Royal watchers, which is 1037 00:59:46,560 --> 00:59:51,200 Speaker 1: like an entire industry of media in England, are upset 1038 00:59:51,320 --> 00:59:55,520 Speaker 1: with the Royal family for not having sent a tender 1039 00:59:55,840 --> 00:59:59,080 Speaker 1: to like somebody to tend to her father like. They 1040 00:59:59,160 --> 01:00:01,560 Speaker 1: think that this all could have been avoided if like 1041 01:00:01,920 --> 01:00:05,480 Speaker 1: a royal like to mind him basically a minder, ye, 1042 01:00:06,880 --> 01:00:09,400 Speaker 1: which would have been a great adult pr babysitter. Yeah, 1043 01:00:09,480 --> 01:00:14,480 Speaker 1: that's a funny idea. Noe's copyrighting it at all? So 1044 01:00:14,560 --> 01:00:17,520 Speaker 1: many elevator pitches, all right, not pictures very like King Ralph. Yeah, 1045 01:00:17,760 --> 01:00:20,080 Speaker 1: it's a fucking it's kind of a scumbag dad who 1046 01:00:20,160 --> 01:00:22,440 Speaker 1: had like a few kids and he's one of his daughters. 1047 01:00:22,960 --> 01:00:24,920 Speaker 1: Suddenly he's back in her life because she's getting married 1048 01:00:24,920 --> 01:00:28,680 Speaker 1: to a prince. So they send Kevin Hart. Yeah, with 1049 01:00:28,800 --> 01:00:32,560 Speaker 1: the British accent, with the British accent, he do it. Yeah, yeah, yeah, yeah, no, 1050 01:00:33,120 --> 01:00:35,040 Speaker 1: super producer a on Hosnie. I would just give him 1051 01:00:35,080 --> 01:00:38,000 Speaker 1: some accent tips. Wait, so who would that be? If 1052 01:00:38,080 --> 01:00:39,800 Speaker 1: Kevin Hart is the minder, then who would play making 1053 01:00:39,840 --> 01:00:46,240 Speaker 1: Markol's dad? What's that compans the Rock? No? No, so 1054 01:00:46,440 --> 01:00:49,120 Speaker 1: Brendon Gleeson, who is actually from the UK. You would 1055 01:00:49,160 --> 01:00:52,920 Speaker 1: have him be Leson Irish. I don't want to I'm 1056 01:00:52,920 --> 01:00:55,280 Speaker 1: not trying to say Ireland's part. He's Irish that you 1057 01:00:55,320 --> 01:00:57,080 Speaker 1: would have him played the American Father, and then it's 1058 01:00:57,120 --> 01:00:59,680 Speaker 1: Kevin Hart for Philadelphia played the Royal Mind. What about 1059 01:00:59,720 --> 01:01:03,280 Speaker 1: John good Man? I could see hell No, I have 1060 01:01:03,320 --> 01:01:05,439 Speaker 1: super producer. Anna Hosie just signed me a note John 1061 01:01:05,560 --> 01:01:10,200 Speaker 1: Voight get no, I'm serious, although he delivers one of 1062 01:01:10,240 --> 01:01:14,120 Speaker 1: the greatest monologues in Anaconda snakes don't bite. Oh they 1063 01:01:14,200 --> 01:01:19,560 Speaker 1: don't the perfect killing machine Anyway. I can do that 1064 01:01:19,600 --> 01:01:22,960 Speaker 1: all day. An. It's been enjoy having you. It's been 1065 01:01:23,040 --> 01:01:25,840 Speaker 1: enjoyed being here. Where can people find you? You can 1066 01:01:25,920 --> 01:01:29,040 Speaker 1: find me at Bad Comics with an X by Anna 1067 01:01:29,160 --> 01:01:31,480 Speaker 1: with two ends. I have to specify that because if 1068 01:01:31,520 --> 01:01:35,600 Speaker 1: I don't, you don't know. I'm on Instagram with my comic, 1069 01:01:35,720 --> 01:01:39,480 Speaker 1: but also on Twitter. Look Edgar and I have a 1070 01:01:39,520 --> 01:01:41,880 Speaker 1: Twitter feud, So please come out with your support. I 1071 01:01:42,000 --> 01:01:44,640 Speaker 1: need it. It's really important to me. I think most 1072 01:01:44,680 --> 01:01:47,400 Speaker 1: people are on your side. I do. But also if 1073 01:01:47,440 --> 01:01:49,000 Speaker 1: I ever want to be on Culture Kings again, I 1074 01:01:49,080 --> 01:01:50,919 Speaker 1: need all the support I could get so they feel 1075 01:01:50,960 --> 01:01:55,480 Speaker 1: threatened by me. Someone coming the kingdom. Yeah, yeah, I 1076 01:01:55,560 --> 01:01:59,880 Speaker 1: can feel it. It's not called culture Queens. I heard 1077 01:02:00,000 --> 01:02:03,440 Speaker 1: I can say that the other day. No, you did, 1078 01:02:05,960 --> 01:02:08,880 Speaker 1: I h miles. Where can people find you. You can 1079 01:02:08,920 --> 01:02:12,200 Speaker 1: find me on Twitter and Instagram at Miles of Gray 1080 01:02:12,600 --> 01:02:15,320 Speaker 1: and possibly just looking on YouTube for more videos on 1081 01:02:15,440 --> 01:02:17,360 Speaker 1: how to put in a new valve for my plumbing 1082 01:02:17,440 --> 01:02:19,120 Speaker 1: so I can have an ice maker. Yeah yeah, but 1083 01:02:19,240 --> 01:02:22,200 Speaker 1: shout you like shout out to the people on Twitter. 1084 01:02:22,320 --> 01:02:23,680 Speaker 1: I'm literally gonna hit some of you, all of who 1085 01:02:23,720 --> 01:02:25,040 Speaker 1: people are, like you have a plumber, what you need 1086 01:02:25,600 --> 01:02:27,400 Speaker 1: because I might need you to face time with me 1087 01:02:27,480 --> 01:02:29,800 Speaker 1: as I put this thing. And I'm so not a 1088 01:02:30,160 --> 01:02:33,800 Speaker 1: like a fucking handy person. You know. We have such 1089 01:02:33,840 --> 01:02:36,320 Speaker 1: cool fans though. We have like every lumbers we got, 1090 01:02:36,400 --> 01:02:40,960 Speaker 1: like dude just like cutting up meat, just like American 1091 01:02:41,000 --> 01:02:47,680 Speaker 1: butchers Instagram Instagram accounts the Vegetarian and Dorian Gambler, you 1092 01:02:47,760 --> 01:02:50,600 Speaker 1: know what I mean. The homie who's making the wild 1093 01:02:50,720 --> 01:02:52,120 Speaker 1: water pipes for us, you know what I mean, like 1094 01:02:52,160 --> 01:02:54,880 Speaker 1: this out here also, you know, if that's what we 1095 01:02:54,880 --> 01:02:57,240 Speaker 1: need to do, eventually we'll create a document. The ze 1096 01:02:57,360 --> 01:02:59,880 Speaker 1: King will be like a real community of like artisans. 1097 01:03:00,120 --> 01:03:05,040 Speaker 1: We gotta have like a con gang cons like like 1098 01:03:05,160 --> 01:03:08,680 Speaker 1: con film festival. No, no, like can can Well. I 1099 01:03:08,800 --> 01:03:11,640 Speaker 1: was told I was pronouncing it that way, and apparently 1100 01:03:11,760 --> 01:03:17,320 Speaker 1: that is embarrassing com James con Cans Cans Cannis. Hey, 1101 01:03:17,360 --> 01:03:20,680 Speaker 1: did you guys hear about that new movie from Cans? Uh? Yes, 1102 01:03:21,000 --> 01:03:24,680 Speaker 1: all right. You can follow me at Jack Underscore O'Brien 1103 01:03:24,720 --> 01:03:27,760 Speaker 1: on Twitter. You can follow us at Daily Zotgeist on Twitter. 1104 01:03:28,000 --> 01:03:29,960 Speaker 1: We're at the Daily z et Geist on Instagram. We 1105 01:03:30,000 --> 01:03:32,680 Speaker 1: have Facebook fan page and a website, Daily zu Guys 1106 01:03:32,720 --> 01:03:36,560 Speaker 1: dot com. Why we post our episodes and there we 1107 01:03:36,680 --> 01:03:39,840 Speaker 1: link off to the information that we talked about in 1108 01:03:39,880 --> 01:03:43,120 Speaker 1: today's episode, as well as the song that we ride 1109 01:03:43,160 --> 01:03:46,040 Speaker 1: out on, which miles. Today we're gonna do Brother read 1110 01:03:46,720 --> 01:03:49,840 Speaker 1: Crushed by a Truck from their album The Illustrated Guy 1111 01:03:49,880 --> 01:03:52,720 Speaker 1: to nine to five just a dope. I don't know. 1112 01:03:52,840 --> 01:03:55,320 Speaker 1: I like Brother Reads. The production is cool. It's not 1113 01:03:55,400 --> 01:03:57,200 Speaker 1: your typical I mean it is kind of like old 1114 01:03:57,200 --> 01:03:59,640 Speaker 1: sample based hip hop. But anyway, just enjoy this is 1115 01:03:59,680 --> 01:04:03,280 Speaker 1: crushed by truck truck because I like a reference to 1116 01:04:04,320 --> 01:04:07,640 Speaker 1: that happened. Uh, it's no, I don't even know. I 1117 01:04:07,640 --> 01:04:11,760 Speaker 1: don't even know very specific. All right, we're gonna write 1118 01:04:11,800 --> 01:04:14,080 Speaker 1: out on that. We will be back to marw because 1119 01:04:14,120 --> 01:04:16,800 Speaker 1: it is a daily podcast. Talk you guys. I'm by 1120 01:04:45,440 --> 01:04:48,120 Speaker 1: I hate Catin is special pants to write a base 1121 01:04:48,240 --> 01:04:50,840 Speaker 1: maham that I can play for my unfamous France to 1122 01:04:50,920 --> 01:04:53,080 Speaker 1: throw the party in the same space we take today 1123 01:04:53,080 --> 01:04:55,200 Speaker 1: and while they screaming words off the demo take we 1124 01:04:55,280 --> 01:04:57,920 Speaker 1: gave tod so just take it, then take com minute. 1125 01:04:57,960 --> 01:05:00,200 Speaker 1: If you just take along for the song, it's even 1126 01:05:00,200 --> 01:05:02,960 Speaker 1: see your pause. We can accommodate your problems. I promise 1127 01:05:03,040 --> 01:05:05,760 Speaker 1: no problem. Beating so monstrous and to read is so 1128 01:05:05,920 --> 01:05:09,280 Speaker 1: conscious funk that ship is mastered because I'm unconscious like 1129 01:05:09,400 --> 01:05:12,440 Speaker 1: them shoot vomits from beyond the arcas stopping under conscious 1130 01:05:12,600 --> 01:05:15,280 Speaker 1: when the force of art his launches. The conteplicted Shopli 1131 01:05:15,320 --> 01:05:17,200 Speaker 1: sitting through the rubble like I thought this was a 1132 01:05:17,280 --> 01:05:20,120 Speaker 1: bomb threat to help conscious spitting guards on it herd. 1133 01:05:20,160 --> 01:05:22,520 Speaker 1: He wasn't stars between them every Wanda to the Captain 1134 01:05:22,560 --> 01:05:24,760 Speaker 1: Morgan's letting wraps destroy you when he passed it back 1135 01:05:24,800 --> 01:05:27,479 Speaker 1: and get his whole brain loans So the same goals 1136 01:05:27,720 --> 01:05:29,880 Speaker 1: whenever in the same clothes. To the spects of my 1137 01:05:29,960 --> 01:05:33,480 Speaker 1: brother read on twelve step recovery from subtlety, so funking 1138 01:05:33,560 --> 01:05:37,200 Speaker 1: shot this up in your discovery, y'all see sat nets 1139 01:05:37,320 --> 01:05:40,120 Speaker 1: chill c cutlery. I keep this music in the tight 1140 01:05:40,240 --> 01:05:41,880 Speaker 1: dress and blue the ship in the way she moved. 1141 01:05:42,000 --> 01:05:44,200 Speaker 1: Hips make you want to be a who decreer who 1142 01:05:44,280 --> 01:05:46,360 Speaker 1: trying to say I wanna bang, I wanna fuck him, 1143 01:05:46,400 --> 01:05:48,120 Speaker 1: and I want to cut her like these pumps can 1144 01:05:48,240 --> 01:05:52,440 Speaker 1: do to the mustard? Why must I us know? Why 1145 01:05:52,480 --> 01:05:55,520 Speaker 1: of people like on trust side, trust side? God damn? 1146 01:05:55,600 --> 01:05:57,720 Speaker 1: It was just my gog. I got dressed up for 1147 01:05:57,800 --> 01:06:00,800 Speaker 1: his party and got crushed my the shark guy. Why 1148 01:06:01,520 --> 01:06:04,479 Speaker 1: side us? I don't know why the people I trust side, 1149 01:06:04,560 --> 01:06:07,760 Speaker 1: trust side, God damn, trust side and up, I got 1150 01:06:07,840 --> 01:06:10,480 Speaker 1: your stuff for this party ain't got crush fi at me. 1151 01:06:10,600 --> 01:06:14,360 Speaker 1: Three let the oxygen playing with. You can listen to Jimmy, 1152 01:06:14,440 --> 01:06:17,200 Speaker 1: but y'all can't. Here's Jimmy. It's more life to learn. 1153 01:06:17,240 --> 01:06:19,200 Speaker 1: Plus he like a mike to burn. He did it 1154 01:06:19,360 --> 01:06:22,200 Speaker 1: right like voodoo childs like the turn so the cool 1155 01:06:22,320 --> 01:06:24,560 Speaker 1: so the phase even they had tremaze. He been getting 1156 01:06:24,640 --> 01:06:27,120 Speaker 1: loose up in the sky without electric lady. More than 1157 01:06:27,160 --> 01:06:29,400 Speaker 1: the warm gun. He's storming the war. Come that like 1158 01:06:29,480 --> 01:06:32,880 Speaker 1: I saw last year on tour, was awesome. Now girl heads, buckle, 1159 01:06:32,960 --> 01:06:36,000 Speaker 1: get your jaws done, claiming that to click with stars, 1160 01:06:36,040 --> 01:06:39,160 Speaker 1: study they all suns NICs offer l right, so the 1161 01:06:39,240 --> 01:06:41,640 Speaker 1: well it used to be on four tracks, now we're 1162 01:06:41,680 --> 01:06:44,760 Speaker 1: on dwells. I hear a lot of cats bitching they 1163 01:06:44,800 --> 01:06:47,640 Speaker 1: don't gotta pot to make water or fucking hat the shipping. 1164 01:06:47,680 --> 01:06:50,560 Speaker 1: But I'm hungry only keep my people among me. I 1165 01:06:50,680 --> 01:06:53,200 Speaker 1: see through the others, y'all some peep holes dummy, And 1166 01:06:53,320 --> 01:06:56,240 Speaker 1: everybody wonders how I speak so grungy, when his trees 1167 01:06:56,320 --> 01:06:59,200 Speaker 1: so green and his speech so lovely, the sort of 1168 01:06:59,240 --> 01:07:02,200 Speaker 1: breaking app or the villain, and he pushed limits like 1169 01:07:02,280 --> 01:07:05,880 Speaker 1: with you give push some pretty women, most magnificent tranchilla. 1170 01:07:06,120 --> 01:07:08,360 Speaker 1: I'm at the wakening in the parents because Brad thinks 1171 01:07:08,400 --> 01:07:17,560 Speaker 1: of a big steller. Why what's sibus? I don't know 1172 01:07:17,640 --> 01:07:20,880 Speaker 1: why the people I trust side trust side my damn 1173 01:07:20,920 --> 01:07:23,520 Speaker 1: it just my log. I got dressed up with his party. 1174 01:07:23,600 --> 01:07:27,400 Speaker 1: He got crushed by the shark guy. Why what's sign bus? 1175 01:07:27,800 --> 01:07:30,200 Speaker 1: I don't know why the people I trust side trust 1176 01:07:30,240 --> 01:07:33,640 Speaker 1: side got damn just signed up. I got dressed up 1177 01:07:33,680 --> 01:08:00,560 Speaker 1: for his party. He got crushed by a truck. Then 1178 01:08:00,840 --> 01:08:07,640 Speaker 1: re painted pain the re painted remain re painted re 1179 01:08:07,880 --> 01:08:13,560 Speaker 1: pain deep re pain deep remained deep repaint deep remained 1180 01:08:13,680 --> 01:08:18,880 Speaker 1: deep re paint Deep remained deep. Re paint Deep remained 1181 01:08:19,000 --> 01:08:22,679 Speaker 1: Deep painted Papa