1 00:00:00,080 --> 00:00:03,320 Speaker 1: Hello the Internet, and welcome to season seventy six episode 2 00:00:03,320 --> 00:00:06,560 Speaker 1: for DIR Daily Night Guys. Yeah, the podcast where we 3 00:00:06,600 --> 00:00:10,560 Speaker 1: take a deep dive into America's share consciousness and say, officially, 4 00:00:10,720 --> 00:00:15,360 Speaker 1: off the top, fuck coke industries. Ads keep slipping into 5 00:00:15,400 --> 00:00:18,000 Speaker 1: our network from the It's not a game. We are 6 00:00:18,040 --> 00:00:19,919 Speaker 1: working as hard as we can to keep them out. 7 00:00:19,920 --> 00:00:23,120 Speaker 1: But just in case anyone is confused, our official policy 8 00:00:23,280 --> 00:00:26,079 Speaker 1: at DIR Daily Si guys does fun coke industry and 9 00:00:26,160 --> 00:00:29,800 Speaker 1: eat a whole day, the whole one, all the way down. Yeah, 10 00:00:29,840 --> 00:00:32,720 Speaker 1: we suggest you go elsewhere for your oil refining needs 11 00:00:33,840 --> 00:00:37,040 Speaker 1: and general destruction of democracy. Yeah, of the ship like that. Uh. 12 00:00:37,200 --> 00:00:40,400 Speaker 1: It's Thursday, April four, two thousand nine. Two names Jack O'Brien, 13 00:00:40,400 --> 00:00:44,360 Speaker 1: a K cuck Her Charlson courtesy of Waffle Blast, and 14 00:00:44,400 --> 00:00:46,519 Speaker 1: I'm thrilled to be joined as always by my co 15 00:00:46,720 --> 00:00:51,360 Speaker 1: host Mr Miles. Right, Miles chimes in with haven't you 16 00:00:51,440 --> 00:00:55,520 Speaker 1: be will never heard of rating a podcast more? No, 17 00:00:56,000 --> 00:00:59,000 Speaker 1: it's much better to eat the flats of wings with 18 00:00:59,040 --> 00:01:07,600 Speaker 1: a sense of Erector lemonade. Wow, fucking at just t 19 00:01:07,720 --> 00:01:11,960 Speaker 1: d c A with a I write sins not tragedies 20 00:01:12,280 --> 00:01:14,600 Speaker 1: inspired one. That's funny because that's like the one panic 21 00:01:14,680 --> 00:01:17,280 Speaker 1: at the disco song I listened to or I like 22 00:01:17,360 --> 00:01:20,880 Speaker 1: because the melody is so ridiculous to me. Yeah, closing 23 00:01:20,880 --> 00:01:27,000 Speaker 1: the goddamn door. Okay, you got that that early two 24 00:01:27,000 --> 00:01:31,720 Speaker 1: thousand's punk emotion bus I do have voice down. If 25 00:01:31,720 --> 00:01:34,119 Speaker 1: you look out there, there is a little acoustic guitar 26 00:01:34,240 --> 00:01:36,880 Speaker 1: emoil mixtape by miss Learning so Much Eyeliner did I 27 00:01:37,200 --> 00:01:40,160 Speaker 1: didn't know. This is just latie baby. It looks very thick, 28 00:01:40,240 --> 00:01:42,440 Speaker 1: so it looks like at hyline. Well, we're gonna throw 29 00:01:42,480 --> 00:01:46,080 Speaker 1: the beatoins in our third seat by the wonderful active 30 00:01:46,080 --> 00:01:51,920 Speaker 1: in storytelling political tab On that Hello, Hello, how are you? 31 00:01:52,320 --> 00:01:56,840 Speaker 1: I'm pay Yeah, you know, the world sucks, but I'm here. 32 00:01:56,920 --> 00:02:00,760 Speaker 1: I'm alive, all right, really you man? That's yeah, weep, 33 00:02:00,760 --> 00:02:04,360 Speaker 1: We'll get into it. I've been feeling the all the feelings. Yeah. 34 00:02:04,480 --> 00:02:06,400 Speaker 1: It's also kind of cloudy in l A. And I 35 00:02:06,440 --> 00:02:08,400 Speaker 1: feel like, as soon as the sun goes away, I'm 36 00:02:08,440 --> 00:02:13,480 Speaker 1: like seasonal depression. But it's so silly because it's California. 37 00:02:13,639 --> 00:02:15,760 Speaker 1: Are you affected by the lack of sunlight? Typically? I 38 00:02:15,760 --> 00:02:19,560 Speaker 1: didn't think I was until this this year. Okay, it's 39 00:02:19,560 --> 00:02:23,320 Speaker 1: been cloudy it's so rainy. Luckily we got super booms 40 00:02:23,320 --> 00:02:26,320 Speaker 1: and painted ladies. Yeah, what's the painted lady? Those are 41 00:02:26,360 --> 00:02:30,120 Speaker 1: the butterflies that are like coming through, like grayish monarch 42 00:02:30,160 --> 00:02:32,960 Speaker 1: looking ones. They're like taking over the That was like 43 00:02:33,040 --> 00:02:35,240 Speaker 1: last week when people were like, what is going on? 44 00:02:35,760 --> 00:02:38,120 Speaker 1: It's weird. I was. I didn't have the privilege the 45 00:02:38,160 --> 00:02:40,440 Speaker 1: opportunity to drive through butterfly. I don't know. I just 46 00:02:40,440 --> 00:02:42,520 Speaker 1: wherever I was. It was not fun this week, did 47 00:02:42,560 --> 00:02:46,679 Speaker 1: you Yeah, like the wings are all littered all over 48 00:02:46,720 --> 00:02:50,160 Speaker 1: my car. Did you just drive to like a cloud 49 00:02:50,200 --> 00:02:51,880 Speaker 1: of them like all the time? Yeah, it was on. 50 00:02:52,680 --> 00:02:54,519 Speaker 1: I was driving to the Salt and Sea actually out 51 00:02:54,520 --> 00:02:56,920 Speaker 1: in the desert that's checking out desert ecks, and I 52 00:02:56,960 --> 00:03:01,480 Speaker 1: was just driving through and Yellow Pop Pop Pop was like, 53 00:03:01,480 --> 00:03:04,000 Speaker 1: oh this is so sad. I know. By the way, 54 00:03:04,000 --> 00:03:08,120 Speaker 1: were like so torn up driving through the by the way, 55 00:03:08,160 --> 00:03:12,000 Speaker 1: miles is impression of somebody going what's the deal with all? That? 56 00:03:12,120 --> 00:03:15,960 Speaker 1: Was me? U? Was that you? Yeah, So I'm glad 57 00:03:16,000 --> 00:03:19,079 Speaker 1: they're all to know how I sound inside your head? No, 58 00:03:19,240 --> 00:03:20,959 Speaker 1: you know that's funny because I just saw like I 59 00:03:21,000 --> 00:03:23,000 Speaker 1: don't know if you remember on Twitter, there was just 60 00:03:23,080 --> 00:03:26,000 Speaker 1: butterfly tweets that was like the flavor of the day, 61 00:03:26,000 --> 00:03:27,639 Speaker 1: if you the tweet of the day, if they were 62 00:03:27,639 --> 00:03:30,600 Speaker 1: a wild man, they were everywhere where were you seeing them? 63 00:03:31,120 --> 00:03:33,840 Speaker 1: Front yard, just walking out the walking out the and 64 00:03:33,880 --> 00:03:36,040 Speaker 1: it's definitely a sort of thing that we were walking 65 00:03:36,080 --> 00:03:40,080 Speaker 1: with it two year old. They're like, right, sensory overload. 66 00:03:40,280 --> 00:03:43,080 Speaker 1: They're not saying fuck usually if you're a better parent 67 00:03:43,160 --> 00:03:46,120 Speaker 1: than me. Mine was. But alright, we're gonna get to 68 00:03:46,120 --> 00:03:47,640 Speaker 1: know you a little bit better in a moment. Has 69 00:03:47,720 --> 00:03:50,720 Speaker 1: But first we're going to tell our listeners just a 70 00:03:50,720 --> 00:03:53,560 Speaker 1: few of the things we're talking about today. Uh, the 71 00:03:53,680 --> 00:03:57,880 Speaker 1: Game of Throne merch report. We know the Bud Night 72 00:03:58,080 --> 00:04:02,400 Speaker 1: has been slain. Uh, but Oreo is out here with 73 00:04:02,480 --> 00:04:05,720 Speaker 1: some Game of Thrones cookies. Uh. We're gonna talk about 74 00:04:06,480 --> 00:04:09,280 Speaker 1: Trump being not so hot on people seeing the Mulla 75 00:04:09,320 --> 00:04:14,120 Speaker 1: report now for some reason we're not totally sure why. Uh. Yeah, 76 00:04:14,280 --> 00:04:16,839 Speaker 1: it's and you know, as we talked about yesterday, his 77 00:04:16,880 --> 00:04:19,320 Speaker 1: approval has not jumped up the way that you might 78 00:04:19,360 --> 00:04:22,039 Speaker 1: have expected it too, so people might find that sort 79 00:04:22,080 --> 00:04:25,359 Speaker 1: of behavior suspicious. I don't know. We'll talk about why 80 00:04:25,560 --> 00:04:28,800 Speaker 1: and how he's communicating that though We're gonna talk about 81 00:04:28,880 --> 00:04:33,479 Speaker 1: Nipsey Hustle's killer being caught and Russell Westbrooks tribute to 82 00:04:34,240 --> 00:04:37,280 Speaker 1: him on the basketball court. We're gonna talk about DHS 83 00:04:37,480 --> 00:04:42,920 Speaker 1: just disbanding its domestic terror unit for some reason, just 84 00:04:43,000 --> 00:04:45,320 Speaker 1: at the time that you would think you would not 85 00:04:45,760 --> 00:04:48,560 Speaker 1: want to do that. We're gonna talk about the d 86 00:04:48,640 --> 00:04:51,960 Speaker 1: O J getting involved in the film industry somehow, which 87 00:04:52,279 --> 00:04:56,120 Speaker 1: I guess it's not as bad as that sounds. And 88 00:04:56,640 --> 00:05:00,640 Speaker 1: Security Clearance releases, the Joker trailer, all sorts of ship 89 00:05:00,839 --> 00:05:05,599 Speaker 1: and uh most of all, Cocker Tarlesom catching heat from 90 00:05:05,640 --> 00:05:11,680 Speaker 1: the Bronx. From the Bronx, you got the smoke Key's. Yeah. 91 00:05:11,680 --> 00:05:14,919 Speaker 1: But first, what is something from your search history that 92 00:05:15,120 --> 00:05:19,160 Speaker 1: is revealing about who you are? Oh? Gosh, Um, I 93 00:05:19,200 --> 00:05:21,240 Speaker 1: was looking Actually, I was actually in the desert this 94 00:05:21,320 --> 00:05:24,640 Speaker 1: weekend for a wedding and I was searching Desert X, 95 00:05:24,680 --> 00:05:27,520 Speaker 1: which is this art exhibit that's going on. So I 96 00:05:27,600 --> 00:05:29,880 Speaker 1: was trying to track down where the exhibits were. I 97 00:05:29,920 --> 00:05:31,440 Speaker 1: don't know how many there are, but they're just kind 98 00:05:31,440 --> 00:05:33,640 Speaker 1: of like out in the middle, you know, just these 99 00:05:33,800 --> 00:05:38,840 Speaker 1: beautiful Yeah, did you get the app I got the app? Um. 100 00:05:38,880 --> 00:05:41,320 Speaker 1: I also got the VR app. So there's a couple 101 00:05:41,560 --> 00:05:43,760 Speaker 1: of the exhibits are you have to look at look 102 00:05:43,760 --> 00:05:46,360 Speaker 1: at through your phone, and then it's just it's gorgeous 103 00:05:46,520 --> 00:05:49,719 Speaker 1: through your phone. Um. Yeah, that was really cool. I 104 00:05:49,920 --> 00:05:52,720 Speaker 1: highly recommend if you're in the area for sure. I 105 00:05:52,760 --> 00:05:54,920 Speaker 1: mean if people I think people remember last year, if 106 00:05:55,000 --> 00:05:56,960 Speaker 1: if you were on Instagram and lived in l A. 107 00:05:57,080 --> 00:05:59,360 Speaker 1: People kept popping up with like photos with like a 108 00:05:59,400 --> 00:06:03,280 Speaker 1: Housemaid of mirrors. Yeah, that was from I think last year. Uh, 109 00:06:03,320 --> 00:06:04,960 Speaker 1: and just out in the middle of the desert. Yeah, 110 00:06:04,960 --> 00:06:06,960 Speaker 1: they just put these art installations like in the in 111 00:06:07,000 --> 00:06:08,919 Speaker 1: the desert. And then there are some places like in 112 00:06:08,960 --> 00:06:11,520 Speaker 1: Palm Springs where they took over some vacant storefronts and 113 00:06:11,560 --> 00:06:13,640 Speaker 1: did installations there. So it's a mix of all kinds 114 00:06:13,640 --> 00:06:15,599 Speaker 1: of art. But yeah, there's a lot of cool stuff 115 00:06:15,640 --> 00:06:18,320 Speaker 1: of just like sculpture, like just out in the desert 116 00:06:18,360 --> 00:06:22,800 Speaker 1: that you just find it on social media. Like, yeah, 117 00:06:22,960 --> 00:06:26,440 Speaker 1: there's an app that in a very cryptic website. I 118 00:06:26,440 --> 00:06:27,800 Speaker 1: remember at first when I was out there trying to 119 00:06:27,839 --> 00:06:30,360 Speaker 1: check stuff out, I'm like, this website isn't given me much. 120 00:06:31,200 --> 00:06:33,760 Speaker 1: But there's there's always an app for something that's do 121 00:06:34,560 --> 00:06:37,480 Speaker 1: what what was the installation that you saw. I went 122 00:06:37,520 --> 00:06:40,120 Speaker 1: to the salt and Seat because I really fascinated by 123 00:06:40,120 --> 00:06:43,160 Speaker 1: the saltan Seat, which is so interesting. Yeah, like like 124 00:06:43,320 --> 00:06:45,960 Speaker 1: accidental ocean in the middle of the desert from like 125 00:06:46,520 --> 00:06:50,320 Speaker 1: industrial runoff from something, yes, run off. It was the 126 00:06:50,360 --> 00:06:52,760 Speaker 1: Colorado River, right, It was like a broken aqueduct for 127 00:06:52,800 --> 00:06:55,480 Speaker 1: like three years or something and it just created this 128 00:06:55,560 --> 00:06:59,000 Speaker 1: like sea in the middle of the desert, and then 129 00:06:59,040 --> 00:07:02,200 Speaker 1: people started vacationing there. Right. Yeah, there's a place called 130 00:07:02,200 --> 00:07:05,600 Speaker 1: Bombay Beach out there. There's which I was really fascinated by. 131 00:07:05,680 --> 00:07:07,880 Speaker 1: So there's a couple of exhibits on the water there 132 00:07:08,000 --> 00:07:10,840 Speaker 1: and there is gorgeous The lake stinks. The sea stinks, 133 00:07:10,920 --> 00:07:16,200 Speaker 1: but it's yeah, all the fish died. Everything died so weird, 134 00:07:16,280 --> 00:07:19,480 Speaker 1: including the vacation communities around there. So it's not a 135 00:07:19,480 --> 00:07:22,440 Speaker 1: bunch of ghost towns, right. And also where like everybody 136 00:07:22,440 --> 00:07:25,600 Speaker 1: shoots their first music video, right, because there's so many 137 00:07:25,640 --> 00:07:28,760 Speaker 1: like sort of abandoned buildings and like like remnants of 138 00:07:28,800 --> 00:07:34,760 Speaker 1: this once driving vacation town apocalyptic yea. Um, So you 139 00:07:34,800 --> 00:07:37,120 Speaker 1: went there and where there were there installations there where 140 00:07:37,120 --> 00:07:39,800 Speaker 1: there there's one in the on the like in the water, 141 00:07:40,320 --> 00:07:42,360 Speaker 1: Like I don't even know how to describe it. It's 142 00:07:42,400 --> 00:07:44,840 Speaker 1: just like a two dimensional sculpture in the water. That 143 00:07:44,880 --> 00:07:47,480 Speaker 1: one was cool, um, And then that was the place 144 00:07:47,520 --> 00:07:49,680 Speaker 1: where I saw the VR one. So as you're walking through, 145 00:07:49,680 --> 00:07:50,920 Speaker 1: you pull up the app and then you kind of 146 00:07:50,960 --> 00:07:54,160 Speaker 1: just see like a cloud of colors that you're walking 147 00:07:54,200 --> 00:07:58,760 Speaker 1: through and walking around. Get that art in, get your 148 00:07:58,840 --> 00:08:02,240 Speaker 1: art in. Yeah, it's soothing. I was trying to find 149 00:08:02,320 --> 00:08:05,920 Speaker 1: have you like gone to the super blooms? I tried 150 00:08:06,000 --> 00:08:08,640 Speaker 1: and we couldn't find that. Yeah, that's the thing. It's 151 00:08:08,840 --> 00:08:10,480 Speaker 1: I thought that at one point, didn't they just shut 152 00:08:10,560 --> 00:08:15,240 Speaker 1: down like traffic? Right, We're going to try again this week. 153 00:08:15,240 --> 00:08:17,280 Speaker 1: I'm going to go with my sister to Antelope Valley, 154 00:08:17,640 --> 00:08:20,720 Speaker 1: which is where the blooms are now blooming, like really 155 00:08:20,720 --> 00:08:22,880 Speaker 1: popping off. And I was like, if you grew up, 156 00:08:23,160 --> 00:08:25,400 Speaker 1: I don't know. Actually a lot of people, I feel like, 157 00:08:25,440 --> 00:08:28,679 Speaker 1: even outside, there was a picture of like this hills 158 00:08:28,720 --> 00:08:30,120 Speaker 1: I think in either in Lake Elson or of the 159 00:08:30,160 --> 00:08:32,400 Speaker 1: Animal Valley that was like on every textbook I think 160 00:08:32,400 --> 00:08:35,679 Speaker 1: it was a math book or a California history book. Anyway, 161 00:08:36,040 --> 00:08:41,720 Speaker 1: just a weird Yeah, it's like poppy thing and that's 162 00:08:41,760 --> 00:08:43,559 Speaker 1: like our thing. But I'm like, I think this is 163 00:08:43,600 --> 00:08:48,960 Speaker 1: on a Hoften Mithlin mathematics book. I have a vague recollection. Yeah, 164 00:08:48,960 --> 00:08:50,440 Speaker 1: so you know, if you guys are trying to figure 165 00:08:50,440 --> 00:08:52,680 Speaker 1: out look at that old book and then know that 166 00:08:52,679 --> 00:08:55,079 Speaker 1: that's our state flower and you can't have it. But now, 167 00:08:55,120 --> 00:08:59,120 Speaker 1: because of Instagram culture, it's like just clouds of people 168 00:08:59,320 --> 00:09:03,079 Speaker 1: just yea orange dust all over their shoes. I think 169 00:09:03,080 --> 00:09:05,719 Speaker 1: it's kind of charming, Like, you know, like I think 170 00:09:05,840 --> 00:09:08,080 Speaker 1: this is like what we come together around. Yeah, like 171 00:09:08,120 --> 00:09:10,960 Speaker 1: there's so much whatever terrible things in the world, but 172 00:09:11,200 --> 00:09:14,360 Speaker 1: there's a mass of people causing a traffic jam because 173 00:09:14,360 --> 00:09:16,760 Speaker 1: they want to go see flowers. That's cute. Yeah, I 174 00:09:16,760 --> 00:09:18,520 Speaker 1: think that. Yeah, it is uplifting, where like we're all 175 00:09:18,559 --> 00:09:20,720 Speaker 1: just kind of like we need this. Let's go look 176 00:09:20,720 --> 00:09:22,560 Speaker 1: at the flowers, let's look at something nice. Just come 177 00:09:22,640 --> 00:09:25,960 Speaker 1: at your own adult diapers because there's not they don't 178 00:09:25,960 --> 00:09:30,680 Speaker 1: put up bathrooms out there, so there. Yeah. Yeah, I'm 179 00:09:30,720 --> 00:09:35,240 Speaker 1: just saying, wait, you can't just have a spontaneous culture 180 00:09:35,280 --> 00:09:39,120 Speaker 1: festival and that nobody prepares for and that's oh, that's right, 181 00:09:39,160 --> 00:09:41,559 Speaker 1: because you on the side, you hustle, you sell diapers 182 00:09:41,559 --> 00:09:44,240 Speaker 1: out there. Yeah yeah, yeah, yeah, that makes sense. Yeah, 183 00:09:44,280 --> 00:09:50,800 Speaker 1: and honey buckets. God, what is something you think is overrated? Um, 184 00:09:50,960 --> 00:09:55,439 Speaker 1: let's see. I think something that's overrated is uh I did? 185 00:09:55,720 --> 00:09:57,400 Speaker 1: Oh God, this is so l a of me. So 186 00:09:58,040 --> 00:10:01,800 Speaker 1: I'm sorry. I did hot spin class. Like you know, 187 00:10:02,240 --> 00:10:04,520 Speaker 1: you know how they have hot yoga like bicker yoga, Yeah, 188 00:10:04,520 --> 00:10:06,720 Speaker 1: but then they do it for spin class just spent 189 00:10:06,800 --> 00:10:10,800 Speaker 1: around you just like cycling, but it's in the room 190 00:10:10,920 --> 00:10:16,400 Speaker 1: is like eighty degrees, so you're just like sweating buckets overrated. Yeah, 191 00:10:16,559 --> 00:10:19,520 Speaker 1: it also was unhealthy, you know, but I guess there's 192 00:10:19,520 --> 00:10:22,560 Speaker 1: a whole genre of people that like sweating, which is 193 00:10:22,559 --> 00:10:25,600 Speaker 1: not me right because I guess it's like the logical conclude, 194 00:10:25,640 --> 00:10:28,240 Speaker 1: like our next step, because everyone's like hot yoga, hot yoga, 195 00:10:28,280 --> 00:10:35,200 Speaker 1: hot yoga, it's hot. Yeah, hot restaurants podcasting soon enough, Yeah, 196 00:10:35,440 --> 00:10:37,320 Speaker 1: that would be a show, right that some of those 197 00:10:37,480 --> 00:10:40,000 Speaker 1: the only podcast recording in a hundred and ten degrees. 198 00:10:40,960 --> 00:10:46,160 Speaker 1: It's just SNA time and people just like and I 199 00:10:46,200 --> 00:10:48,400 Speaker 1: signed up for it accidentally, Like I was just thought 200 00:10:48,400 --> 00:10:50,040 Speaker 1: I was signing up for a regular spin class, and 201 00:10:50,080 --> 00:10:52,200 Speaker 1: I just thought it was hot. Figured if Luis is 202 00:10:52,240 --> 00:10:54,120 Speaker 1: not Wait, so it's not even a place built. They're 203 00:10:54,120 --> 00:10:56,360 Speaker 1: just just turn on, turn up thermostappen. You know, it 204 00:10:56,440 --> 00:10:59,079 Speaker 1: is a place built for sweating. I hope it's not 205 00:10:59,240 --> 00:11:03,800 Speaker 1: people going like I just didn't read those the small print. Yeah, 206 00:11:03,840 --> 00:11:06,520 Speaker 1: because I feel like spin classes are hard enough. I 207 00:11:06,679 --> 00:11:09,360 Speaker 1: can't bring myself to do a spin class, but everyone 208 00:11:09,400 --> 00:11:11,560 Speaker 1: I know who does it always just like limping the 209 00:11:11,600 --> 00:11:12,880 Speaker 1: next day. That all all right, it looks like you 210 00:11:13,000 --> 00:11:16,079 Speaker 1: got your dollars worth. Yeah, I like to pay for 211 00:11:16,520 --> 00:11:18,720 Speaker 1: some really physically fit person to be mean to me 212 00:11:18,880 --> 00:11:22,920 Speaker 1: for like yeah, yeah, yeah, I don't even I don't 213 00:11:22,920 --> 00:11:27,040 Speaker 1: even exercise, but there means to me about not It's 214 00:11:27,080 --> 00:11:29,839 Speaker 1: like dividends, you know, down the road it will like 215 00:11:29,880 --> 00:11:32,720 Speaker 1: the self reproach and bad feelings that I have about 216 00:11:32,760 --> 00:11:37,760 Speaker 1: myself will then bloom into motivation. Is my dream. That's 217 00:11:37,760 --> 00:11:41,000 Speaker 1: what I'm hoping will happen. But yeah no, that's that's 218 00:11:41,000 --> 00:11:44,320 Speaker 1: how like you always hear about high school wrestlers like 219 00:11:44,360 --> 00:11:47,760 Speaker 1: having strokes and ship is like the just sweat it out, 220 00:11:47,840 --> 00:11:50,520 Speaker 1: get rid of all that. Yeah, like tape up a 221 00:11:50,520 --> 00:11:52,640 Speaker 1: garbage back all over your body and just do a bike. 222 00:11:53,000 --> 00:11:55,720 Speaker 1: There's the thing in l a that is just you 223 00:11:55,800 --> 00:11:59,679 Speaker 1: sit on a chair, they put like bags around your 224 00:11:59,760 --> 00:12:04,760 Speaker 1: arms and then you just sweat and they work out. No, 225 00:12:05,160 --> 00:12:07,920 Speaker 1: it's like they to advertise it. Yeah, it's like a 226 00:12:08,040 --> 00:12:11,520 Speaker 1: detoxifying like faux workout there, like you don't even have 227 00:12:11,559 --> 00:12:13,440 Speaker 1: to move and you get all the sweat out of you. 228 00:12:14,080 --> 00:12:17,719 Speaker 1: But some of the most passive ship they're like, I 229 00:12:17,720 --> 00:12:21,920 Speaker 1: don't want to yeah exactly, we're looking for very quick 230 00:12:22,040 --> 00:12:26,319 Speaker 1: solutions to things that should just be solved with just Netflix. 231 00:12:26,480 --> 00:12:30,120 Speaker 1: Well yeah, well they bleed you basically. It's a modern 232 00:12:30,200 --> 00:12:34,520 Speaker 1: day bleeding. What is something you think is underrated? Underrated? 233 00:12:34,760 --> 00:12:39,720 Speaker 1: I'm really do you know Chinny Nichols the astrologer, she's 234 00:12:39,760 --> 00:12:42,600 Speaker 1: like an astrologer to like, I don't know like all 235 00:12:42,600 --> 00:12:45,000 Speaker 1: the activists that I know. She's here in l A. 236 00:12:45,080 --> 00:12:48,640 Speaker 1: But she has a Spotify playlist that's done by astrology, 237 00:12:48,760 --> 00:12:51,920 Speaker 1: so like depending on what your star sign is each month, 238 00:12:52,000 --> 00:12:56,280 Speaker 1: Spotify will update it for the month and she's been 239 00:12:56,280 --> 00:12:58,600 Speaker 1: doing it since the beginning of this year. It's really awesome. 240 00:12:59,240 --> 00:13:01,600 Speaker 1: What is so what about the music is sort of 241 00:13:01,640 --> 00:13:03,920 Speaker 1: like okay, if this is your according to the stuff 242 00:13:03,960 --> 00:13:06,680 Speaker 1: the celestial heavens, I mean, we can look at what's 243 00:13:06,679 --> 00:13:08,680 Speaker 1: your star saying we can look it up a Virgo, 244 00:13:09,600 --> 00:13:12,599 Speaker 1: we can, we can see what you're It's gonna be 245 00:13:12,679 --> 00:13:15,360 Speaker 1: very chill music. It's probably what I'm just playing at 246 00:13:15,360 --> 00:13:17,880 Speaker 1: the end of the show, right, yeah. Yeah. It turns 247 00:13:17,920 --> 00:13:19,520 Speaker 1: out this is how Miles has been doing all his 248 00:13:19,600 --> 00:13:23,240 Speaker 1: picks all along. It's funny, like I get sort of 249 00:13:23,320 --> 00:13:26,520 Speaker 1: I'm not. I'm not a like, you know, big believer 250 00:13:26,840 --> 00:13:30,320 Speaker 1: in astrology or like fate or ship like that, but 251 00:13:30,360 --> 00:13:33,000 Speaker 1: like when it comes to like what my like I 252 00:13:33,240 --> 00:13:37,439 Speaker 1: Potter iPhone puts on shuffle, I'm like, yeah, this is like, 253 00:13:37,800 --> 00:13:41,120 Speaker 1: this is the fates deciding what my mood will be 254 00:13:41,160 --> 00:13:44,720 Speaker 1: for the next you know, three and sometimes it really 255 00:13:44,760 --> 00:13:47,960 Speaker 1: like sinks up. It's just it's pretty cool. Are you 256 00:13:48,040 --> 00:13:53,160 Speaker 1: a big Okay, let's see this. This is this is Virgo. Okay, 257 00:13:53,200 --> 00:13:57,320 Speaker 1: so let's play this track by Let's Leaf. Let's just 258 00:13:57,400 --> 00:14:02,719 Speaker 1: check this one out. It's just I'm thinking of like, yep, 259 00:14:03,200 --> 00:14:05,200 Speaker 1: that sounds like me. Okay, what about this next one? 260 00:14:05,920 --> 00:14:11,800 Speaker 1: Uh a Lennox forty Shades of Choke. That's hot. That 261 00:14:11,880 --> 00:14:17,560 Speaker 1: does sound like you. They have a Princess Nokia track 262 00:14:17,640 --> 00:14:22,160 Speaker 1: I already played on the show here. I mean, it's 263 00:14:22,160 --> 00:14:23,840 Speaker 1: so funny, right because we always talked about this on 264 00:14:23,840 --> 00:14:27,160 Speaker 1: the show, where like obviously, you know, it's hard to 265 00:14:27,200 --> 00:14:29,600 Speaker 1: be like a person of science or like think like 266 00:14:29,720 --> 00:14:31,640 Speaker 1: what the fund do. Like, you know a lot of 267 00:14:31,640 --> 00:14:33,480 Speaker 1: people come on the show and try and reconcile, like 268 00:14:33,520 --> 00:14:35,840 Speaker 1: I'm a very logical person. It's like, but my one 269 00:14:36,360 --> 00:14:40,440 Speaker 1: fucking guilty pleasure is just looking at my chart talking 270 00:14:40,440 --> 00:14:44,160 Speaker 1: to Susan Millership, Yeah, I like crystals. I'm super logical, 271 00:14:44,200 --> 00:14:45,880 Speaker 1: but I like I like crystals in my podcast, it's 272 00:14:45,920 --> 00:14:49,440 Speaker 1: just more like just for the feeling than you're more crystals. 273 00:14:49,520 --> 00:14:51,600 Speaker 1: I think. Well, I mean, like for this one, I like, 274 00:14:51,640 --> 00:14:54,720 Speaker 1: I really do like music, like what I love about 275 00:14:54,920 --> 00:14:56,880 Speaker 1: And I've been the kind of person that always like 276 00:14:56,960 --> 00:14:59,040 Speaker 1: would make mixed CDs and give it to friends. When 277 00:14:59,040 --> 00:15:01,280 Speaker 1: I thought, you know, I was like, oh, I think 278 00:15:01,320 --> 00:15:03,480 Speaker 1: these songs like relate to you. So this is kind 279 00:15:03,480 --> 00:15:05,240 Speaker 1: of like the astrology version of a mix tape. So 280 00:15:05,280 --> 00:15:08,080 Speaker 1: what's your sign? I'm a cancer? Okay, so what kind 281 00:15:08,080 --> 00:15:10,960 Speaker 1: of vibe is your what your songs this month? I'm 282 00:15:11,000 --> 00:15:14,480 Speaker 1: supposed to be like super confident. So then when I 283 00:15:14,480 --> 00:15:17,480 Speaker 1: was listening to it, I was like, yeah, okay, so 284 00:15:17,520 --> 00:15:21,520 Speaker 1: it's in conjunction with whatever and astrologer believes is happening. Okay, 285 00:15:21,520 --> 00:15:23,600 Speaker 1: because for me, I'm like I'm always sort of like 286 00:15:23,640 --> 00:15:26,280 Speaker 1: the same note. But it looks like you're going to 287 00:15:26,640 --> 00:15:30,840 Speaker 1: be queen of the ship this month and excellent. Oh 288 00:15:30,880 --> 00:15:35,120 Speaker 1: my god, my sign is all nineties rap and children's music. 289 00:15:35,560 --> 00:15:41,000 Speaker 1: Damn would be amazing. That just nailed my super specific 290 00:15:42,680 --> 00:15:45,040 Speaker 1: That's that's dope. Though. Do you do that? Do you 291 00:15:45,080 --> 00:15:50,720 Speaker 1: like have like ship on shuffle and You're just like, yeah, 292 00:15:49,080 --> 00:15:53,040 Speaker 1: I'm very like intentional when I listen to music. I'm 293 00:15:53,040 --> 00:15:55,680 Speaker 1: like I need to hear this or whatever. But I 294 00:15:55,680 --> 00:15:58,360 Speaker 1: mean sometimes I'll just put a playlist on of ship 295 00:15:58,440 --> 00:16:01,320 Speaker 1: I've already put together, or like a playlist that's created 296 00:16:01,360 --> 00:16:04,720 Speaker 1: by like a label or producer that I like. But yeah, yeah, 297 00:16:04,960 --> 00:16:07,000 Speaker 1: I try to get to in the shuffle. What's jack 298 00:16:08,640 --> 00:16:12,440 Speaker 1: le What do I search on? Spotify? Leo? Spotify Leo 299 00:16:12,880 --> 00:16:16,280 Speaker 1: Spotify Leo? Your this is your playlist? This is your 300 00:16:16,320 --> 00:16:20,880 Speaker 1: cosmic playlist. Starting off, this is Heartbeat by Raina. Oh 301 00:16:20,920 --> 00:16:24,160 Speaker 1: you have a good month too. According to this track jacklist, 302 00:16:24,600 --> 00:16:28,120 Speaker 1: oh Dann Flawless by Beyonce, who else you got j 303 00:16:28,280 --> 00:16:35,560 Speaker 1: Balvin Okay, being honest Michelle Feifer, Love Language by Kailani, 304 00:16:36,200 --> 00:16:39,360 Speaker 1: Get into the Party Life by Lion Too Sexy, You're 305 00:16:39,400 --> 00:16:43,120 Speaker 1: having a good month. Good Girl Girl Gone Bad by 306 00:16:43,240 --> 00:16:47,440 Speaker 1: Rihanna and Rude Boy by Rihanna. Whoa, Okay, I need to, 307 00:16:47,520 --> 00:16:52,560 Speaker 1: I need to. I need some of your energy flawless 308 00:16:52,920 --> 00:16:56,360 Speaker 1: Yeah wow Jack, Okay, alright, you have a good month 309 00:16:56,360 --> 00:17:00,240 Speaker 1: ahead of your thing. Okay, Well you slay all day, queen, 310 00:17:02,280 --> 00:17:06,399 Speaker 1: slay all month. What is a myth? Finally, what is 311 00:17:06,440 --> 00:17:10,200 Speaker 1: something that people think it's true? You know to be false? Okay, 312 00:17:10,240 --> 00:17:13,040 Speaker 1: you know what's false? Those bars when you're in a 313 00:17:13,080 --> 00:17:15,680 Speaker 1: hotel that like you're supposed to protect you from people 314 00:17:15,720 --> 00:17:18,800 Speaker 1: barging in. Okay, this is my story. You know the 315 00:17:18,840 --> 00:17:24,920 Speaker 1: security bars those like So I checked into a hotel 316 00:17:25,040 --> 00:17:28,359 Speaker 1: in Palm Springs this weekend, and when I went up 317 00:17:28,359 --> 00:17:30,359 Speaker 1: to my room to open the door, the latch was 318 00:17:30,600 --> 00:17:32,400 Speaker 1: already closed. When I went down to the front desk, 319 00:17:32,400 --> 00:17:35,000 Speaker 1: I was like, the latches closed. She went up with 320 00:17:35,040 --> 00:17:37,760 Speaker 1: this like tool to open the latch so that I 321 00:17:37,760 --> 00:17:39,480 Speaker 1: could get into the room. And it was booked out, 322 00:17:39,680 --> 00:17:43,160 Speaker 1: booked up hotel. So I couldn't. She didn't have another 323 00:17:43,240 --> 00:17:46,720 Speaker 1: room for me. So the latch, the whatever, the metal 324 00:17:46,800 --> 00:17:49,520 Speaker 1: key thing that she has broken the door. And so 325 00:17:49,800 --> 00:17:51,639 Speaker 1: she finds out from this other hotel guy that you 326 00:17:51,680 --> 00:17:54,920 Speaker 1: can just use your plastic card the key card. Put 327 00:17:54,920 --> 00:17:57,480 Speaker 1: an envelope kind of like jimmy it in there and 328 00:17:57,600 --> 00:18:02,520 Speaker 1: like lift up the latch, which makes me think, like, wait, 329 00:18:02,520 --> 00:18:04,560 Speaker 1: which what are we talking about. We're talking about the 330 00:18:04,600 --> 00:18:08,439 Speaker 1: little U shape things flip over that you just pop 331 00:18:08,480 --> 00:18:10,800 Speaker 1: it in and its like if you just cracked the 332 00:18:10,800 --> 00:18:12,440 Speaker 1: door a little bit and then you can nudge it 333 00:18:12,480 --> 00:18:14,800 Speaker 1: out all right, there you go. There he goes like 334 00:18:15,160 --> 00:18:21,159 Speaker 1: tips for murderers. Wow, that's so funny. I mean that 335 00:18:21,240 --> 00:18:23,080 Speaker 1: makes sense, right because if you did have someone that 336 00:18:23,119 --> 00:18:25,439 Speaker 1: was incapacitated, like in a hotel room who did have 337 00:18:25,480 --> 00:18:27,520 Speaker 1: the latch on, like yeah, it would be terrible to 338 00:18:27,560 --> 00:18:29,480 Speaker 1: be like there was that case of the woman who 339 00:18:29,560 --> 00:18:32,159 Speaker 1: was raped in her hotel room because the it was 340 00:18:32,280 --> 00:18:36,760 Speaker 1: in Iowa where the doors locked. This like assaulter like 341 00:18:36,880 --> 00:18:39,680 Speaker 1: convinced the front desk person to let him into the 342 00:18:39,760 --> 00:18:41,520 Speaker 1: room and then she had the lock on the door 343 00:18:41,560 --> 00:18:43,880 Speaker 1: to then they got the front desk pushion to open 344 00:18:43,960 --> 00:18:45,560 Speaker 1: the room. Up with the thing and then he went 345 00:18:45,600 --> 00:18:48,080 Speaker 1: in and raped her. Oh my Jesus, Christ just was 346 00:18:48,080 --> 00:18:50,840 Speaker 1: in the news. This what we're supposed to do. I 347 00:18:50,840 --> 00:18:53,560 Speaker 1: don't know. I was really freaked out this because then 348 00:18:53,600 --> 00:18:56,320 Speaker 1: that chain one you can just clip with bolt cutters, right, 349 00:18:56,400 --> 00:18:59,080 Speaker 1: you know if we've all seen the professional Yeah, um, 350 00:18:59,160 --> 00:19:02,439 Speaker 1: I'm trying to think. I'm just impressed by this scam. 351 00:19:02,600 --> 00:19:06,200 Speaker 1: Meaningful door locks. I just just putting a bunch of 352 00:19:06,240 --> 00:19:08,080 Speaker 1: chairs in front of the door. Yeah, like probably just 353 00:19:08,119 --> 00:19:11,240 Speaker 1: barricade the door and then like a bunch of cans 354 00:19:11,320 --> 00:19:14,560 Speaker 1: and like bells and ships. So I'm coming like barriers 355 00:19:14,600 --> 00:19:18,320 Speaker 1: and barriers. Right, you shatter a light bulb and you 356 00:19:18,320 --> 00:19:22,240 Speaker 1: put the broken glass, hear somebody walking through like believer 357 00:19:22,440 --> 00:19:26,320 Speaker 1: in home alone style. Secure? Yes, exactly, but I guess 358 00:19:26,320 --> 00:19:28,159 Speaker 1: that gang if you have tips to probably secure a 359 00:19:28,160 --> 00:19:30,000 Speaker 1: hotel room, please hit us up with you suggestion. I 360 00:19:30,000 --> 00:19:32,000 Speaker 1: know that was super depressing, but I just I feel 361 00:19:32,040 --> 00:19:36,040 Speaker 1: like you just discovered this super pressing but also super useful. 362 00:19:36,880 --> 00:19:40,200 Speaker 1: There's despite you feeling secure, like they're still a vulnerabil scam. 363 00:19:40,280 --> 00:19:43,560 Speaker 1: Queen Lacey Moseley, Taz is coming for you. She just 364 00:19:43,600 --> 00:19:46,240 Speaker 1: gave us, but Tas coming from a different angle. She's 365 00:19:46,280 --> 00:19:49,640 Speaker 1: like protect yourself, like the scammers don't get you right, 366 00:19:50,160 --> 00:19:52,600 Speaker 1: or protect yourself. And then Lacey's angle would be like 367 00:19:52,960 --> 00:19:57,040 Speaker 1: lasically like don't let that thing hold you back envelope 368 00:19:57,119 --> 00:19:59,360 Speaker 1: and get you whatever you're trying to steal in that room, 369 00:19:59,400 --> 00:20:02,720 Speaker 1: hopefully out in the salt. And it's something lighthearted but 370 00:20:03,040 --> 00:20:08,000 Speaker 1: again still disconcerting, totally disconcerting. Alright, Oreo you guys, Yes 371 00:20:08,240 --> 00:20:13,560 Speaker 1: they are on the Game of Thrones bandwagon. Yeah, I'm not. Like. 372 00:20:14,040 --> 00:20:15,960 Speaker 1: The only reason I wanted to bring this story up 373 00:20:16,040 --> 00:20:18,760 Speaker 1: is because I just realized that the final season is 374 00:20:18,760 --> 00:20:22,600 Speaker 1: beginning next Sunday and I can finally be free from 375 00:20:22,640 --> 00:20:24,760 Speaker 1: the nightmare of just wanting to know how the funk 376 00:20:24,800 --> 00:20:27,600 Speaker 1: they're going to end the series. I have a confession, 377 00:20:27,600 --> 00:20:33,119 Speaker 1: I haven't watched any of that. That's fine, as I 378 00:20:33,240 --> 00:20:35,639 Speaker 1: like Oreos because they're like a character I should be 379 00:20:35,640 --> 00:20:37,800 Speaker 1: eating first now. I think at the end of the day, 380 00:20:37,840 --> 00:20:39,960 Speaker 1: if it's something you're consuming, it makes a little difference 381 00:20:39,960 --> 00:20:43,080 Speaker 1: what the design is on the cookie itself. I think 382 00:20:43,119 --> 00:20:44,760 Speaker 1: it's more for people when you're having that Game of 383 00:20:44,800 --> 00:20:46,840 Speaker 1: Thrones party and you want to put out the got 384 00:20:47,040 --> 00:20:50,359 Speaker 1: Orioles as they're out now and as they describe it, 385 00:20:50,359 --> 00:20:52,480 Speaker 1: it's a playful new take on the original Cookie, and 386 00:20:52,480 --> 00:20:55,960 Speaker 1: it features four unique embossments, spotlighting the great Houses still 387 00:20:56,000 --> 00:20:58,760 Speaker 1: battling for the Iron Throne and the enemy White Walkers 388 00:20:58,800 --> 00:21:03,080 Speaker 1: beyond the wall. Personally, I think looks like Darth Black 389 00:21:03,119 --> 00:21:06,440 Speaker 1: Panther or Dark Maul. Darth Maul or Black Panther. Yeah, 390 00:21:06,440 --> 00:21:08,280 Speaker 1: we don't know. We don't know who that is, but 391 00:21:08,320 --> 00:21:12,359 Speaker 1: I guess it's the Night King. Technically, yeah, it's a 392 00:21:12,359 --> 00:21:13,919 Speaker 1: Game of Thrones, so I guess we'll say we'll go 393 00:21:13,960 --> 00:21:16,960 Speaker 1: with Ni King. Uh. Just personally, I'm just curious a Jack, 394 00:21:17,040 --> 00:21:19,919 Speaker 1: I know, you watch Do you want it to end 395 00:21:19,960 --> 00:21:24,600 Speaker 1: a certain way? Uh? Yeah, I do. I mean I 396 00:21:25,480 --> 00:21:28,320 Speaker 1: have a soft spot for Aria, you know, I want 397 00:21:28,359 --> 00:21:32,679 Speaker 1: to see her, like, I just don't want to see 398 00:21:32,800 --> 00:21:39,119 Speaker 1: her go down. Basically, I don't care about really anyone else, Like, 399 00:21:39,280 --> 00:21:41,880 Speaker 1: I just hope everybody dies. Really, I think that should 400 00:21:41,880 --> 00:21:43,639 Speaker 1: be the I don't know, I just feel like that 401 00:21:43,640 --> 00:21:46,119 Speaker 1: would be so dark and fun. People up because it's 402 00:21:46,200 --> 00:21:47,720 Speaker 1: kind of like a metaphor, you know, it depends on 403 00:21:47,720 --> 00:21:49,480 Speaker 1: how you look at the metaphor of who the White 404 00:21:49,480 --> 00:21:52,200 Speaker 1: Walkers are some people say like there's like this force 405 00:21:52,320 --> 00:21:54,680 Speaker 1: coming that we're trying to fight. So here's my one 406 00:21:54,760 --> 00:21:58,359 Speaker 1: hope for the final season is that the White Walkers 407 00:21:58,640 --> 00:22:01,600 Speaker 1: by the season's midpoint are gone, Like they figure out 408 00:22:01,640 --> 00:22:04,000 Speaker 1: how to kill the White Walkers, and then it's like 409 00:22:04,240 --> 00:22:08,199 Speaker 1: the aftermath and everybody scrambling to like see who like, 410 00:22:08,359 --> 00:22:11,680 Speaker 1: rather than it ending with them killing the White Walkers, 411 00:22:11,760 --> 00:22:15,240 Speaker 1: which feels like, yeah, you just like kind of no 412 00:22:16,080 --> 00:22:19,840 Speaker 1: know that story shape. Whereas if it's like World War 413 00:22:19,880 --> 00:22:23,320 Speaker 1: two ends and then chaos like who like what happens 414 00:22:23,320 --> 00:22:25,600 Speaker 1: in the aftermath, Like I feel like that would be dope, 415 00:22:26,440 --> 00:22:28,960 Speaker 1: where they trying to cut up the newly found grounds 416 00:22:29,040 --> 00:22:33,159 Speaker 1: and we see capitalism takeover pushed out and they're like, 417 00:22:33,320 --> 00:22:38,639 Speaker 1: actually here was a red scare. It's like what is 418 00:22:38,640 --> 00:22:44,879 Speaker 1: going on? Wait? So are the White Walkers Nazis? Uh No, 419 00:22:45,040 --> 00:22:48,880 Speaker 1: they're more global warble warming. They're like a natural almost 420 00:22:48,880 --> 00:22:52,240 Speaker 1: they don't really have intentionality. That is very I mean 421 00:22:52,280 --> 00:22:55,920 Speaker 1: they have intentionality, but there are more automatons, like they're 422 00:22:55,960 --> 00:23:00,879 Speaker 1: just like they're to kill everything. They're just consume life. Yeah, 423 00:23:01,160 --> 00:23:04,920 Speaker 1: much like our earth climbing back on us. So we'll see. 424 00:23:05,000 --> 00:23:09,640 Speaker 1: I mean maybe who are Nazis? I mean, they're they're 425 00:23:09,680 --> 00:23:11,600 Speaker 1: the ones who have a lot of the gold and 426 00:23:11,640 --> 00:23:13,600 Speaker 1: they I don't know, bro, I'm not really trying to 427 00:23:13,600 --> 00:23:15,840 Speaker 1: look into this. We got enough like real Nazis and 428 00:23:15,880 --> 00:23:20,520 Speaker 1: life like I mean, is that something that's changed is 429 00:23:20,560 --> 00:23:23,760 Speaker 1: that we don't need Nazi metaphorical Nazis anymore in our 430 00:23:23,800 --> 00:23:26,840 Speaker 1: stories because we have real Nazis. Christ I don't know, man, 431 00:23:27,240 --> 00:23:29,600 Speaker 1: it's just like exhausting to even think about them, Like, 432 00:23:29,720 --> 00:23:32,080 Speaker 1: do I need to see someone Nazis? Well? I think 433 00:23:32,119 --> 00:23:35,439 Speaker 1: the using global warming though, is an interesting twist on it, 434 00:23:37,000 --> 00:23:38,920 Speaker 1: because it's sort of a narrative where like a lot 435 00:23:38,920 --> 00:23:41,320 Speaker 1: of these people were feuding with each other until they 436 00:23:41,359 --> 00:23:44,000 Speaker 1: have this sort of they have this new threat that 437 00:23:44,040 --> 00:23:46,360 Speaker 1: they can actually all kind of band together and sort 438 00:23:46,400 --> 00:23:48,840 Speaker 1: of leave their differences behind because they face it much 439 00:23:48,920 --> 00:23:53,080 Speaker 1: larger existential threat. But take that however you want to. 440 00:23:53,240 --> 00:23:55,879 Speaker 1: Maybe it's a metaphor for SoundCloud rappers. Do you think 441 00:23:55,920 --> 00:23:59,080 Speaker 1: it's too shitty for us to talk about like a 442 00:23:59,119 --> 00:24:02,200 Speaker 1: fan theory for like a twist that might be coming? 443 00:24:02,640 --> 00:24:06,480 Speaker 1: Not yet? All right, we'll hold off on that. Yeah, yeah, 444 00:24:06,520 --> 00:24:08,320 Speaker 1: all right, we're gonna take a quick break so I 445 00:24:08,320 --> 00:24:11,040 Speaker 1: can talk to Miles about this band theory and then 446 00:24:11,040 --> 00:24:25,640 Speaker 1: we'll be right back. And we're back, and how about 447 00:24:25,640 --> 00:24:30,600 Speaker 1: that theory? How Miles man, watch out. Now let's talk 448 00:24:30,640 --> 00:24:33,960 Speaker 1: about the other thing that people are just waiting on 449 00:24:34,000 --> 00:24:36,040 Speaker 1: the edge of their seat to see how it ends 450 00:24:36,480 --> 00:24:41,600 Speaker 1: that Mueller report. Uh So, yeah, it seems like the 451 00:24:41,960 --> 00:24:48,520 Speaker 1: White House, you know, people were like exoneration, it's all good. Uh, 452 00:24:48,560 --> 00:24:51,119 Speaker 1: and that that was the end of that story as 453 00:24:51,160 --> 00:24:53,760 Speaker 1: far as the Trumpet men. Moving on, Yeah, moving on, 454 00:24:53,800 --> 00:24:56,639 Speaker 1: We don't have to talk about there anymore. But so 455 00:24:56,680 --> 00:24:58,920 Speaker 1: what's the latest here, Miles, Which is now that I mean, 456 00:24:59,119 --> 00:25:00,760 Speaker 1: this isn't really much of a story, just something that 457 00:25:00,840 --> 00:25:03,840 Speaker 1: we're seeing evolved now. Is now the tone is changing 458 00:25:03,880 --> 00:25:05,399 Speaker 1: from the White House being like, I don't know if 459 00:25:05,440 --> 00:25:08,280 Speaker 1: we actually need everybody see the Mother Report. Like Trump 460 00:25:08,320 --> 00:25:10,360 Speaker 1: is saying like, well, the Democrats want the Mother Port 461 00:25:10,440 --> 00:25:12,719 Speaker 1: and then they're gonna want more and more and more, 462 00:25:12,760 --> 00:25:15,520 Speaker 1: like what more of the truth? Uh? And then also 463 00:25:15,600 --> 00:25:19,880 Speaker 1: like uh, there was another criticism of saying like, oh, 464 00:25:20,040 --> 00:25:22,560 Speaker 1: you know, Robert Mueller was like their godlike figure for 465 00:25:22,600 --> 00:25:25,359 Speaker 1: the last two years, and now we don't hear anything 466 00:25:25,359 --> 00:25:28,359 Speaker 1: about Robert mull It's like, yeah, you are. It's everyone 467 00:25:28,480 --> 00:25:31,800 Speaker 1: screaming for the Department of Justice to let them see 468 00:25:31,920 --> 00:25:35,280 Speaker 1: the Mother report and don't even that criticism that are 469 00:25:35,320 --> 00:25:38,359 Speaker 1: they just like where's your god now lives? Well, he 470 00:25:38,400 --> 00:25:40,640 Speaker 1: was just kind of like, oh, he's like y'all didn't care. 471 00:25:41,040 --> 00:25:44,320 Speaker 1: After we find out that his report exonerates me, it 472 00:25:44,359 --> 00:25:46,640 Speaker 1: doesn't now they want to move on and not really 473 00:25:46,640 --> 00:25:48,640 Speaker 1: talk about him. Like that was sort of his spin 474 00:25:48,640 --> 00:25:51,400 Speaker 1: on everyone's like what the no, no one is saying man, 475 00:25:51,880 --> 00:25:54,040 Speaker 1: But really I think it's just something to keep an 476 00:25:54,040 --> 00:25:57,200 Speaker 1: eye on, because you know, it's also with everything that's 477 00:25:57,200 --> 00:25:59,240 Speaker 1: going on this week between him being like I'm gonna 478 00:25:59,280 --> 00:26:04,840 Speaker 1: shut the meth fucking Mexican border down or like yeah 479 00:26:04,960 --> 00:26:07,919 Speaker 1: uh and like just you know, causing a real economic 480 00:26:08,119 --> 00:26:11,240 Speaker 1: crisis there, that would be a pretty good distraction from 481 00:26:11,280 --> 00:26:13,919 Speaker 1: people to talk about the Motor report or you know, 482 00:26:14,080 --> 00:26:17,320 Speaker 1: screaming about Puerto Rico like this week and acting like, oh, 483 00:26:17,400 --> 00:26:21,000 Speaker 1: you know the United States citizens who live in Puerto Rico. Uh, 484 00:26:21,040 --> 00:26:23,399 Speaker 1: the aid that we sent and you know, not it 485 00:26:23,520 --> 00:26:26,120 Speaker 1: didn't even really do a good job of helping Puerto Rico. 486 00:26:26,240 --> 00:26:28,760 Speaker 1: Oh that that was taking money away from farmers like 487 00:26:28,840 --> 00:26:30,960 Speaker 1: that spin. There's just a lot of just dumb ship 488 00:26:31,000 --> 00:26:33,679 Speaker 1: going on. I'm like, okay, just anyway he can pit 489 00:26:34,040 --> 00:26:37,560 Speaker 1: white people against not white people is sort of his 490 00:26:38,000 --> 00:26:41,920 Speaker 1: the name of the game. That's the strategy. Because racism. Yep, 491 00:26:42,280 --> 00:26:46,840 Speaker 1: because racism. All right, we saw that. So Nipsey Hustle's 492 00:26:46,920 --> 00:26:50,520 Speaker 1: killer was caught by police before he was caught by 493 00:26:51,080 --> 00:26:54,760 Speaker 1: uh crips, and you know, kind of talking about just 494 00:26:54,800 --> 00:26:57,879 Speaker 1: sort of like the world being really dark, like you know, 495 00:26:58,000 --> 00:27:00,480 Speaker 1: I know it's Thursday now, we're just talking abut Nipsey 496 00:27:00,520 --> 00:27:02,960 Speaker 1: Hustle's death sort of in a meaningful way. I was 497 00:27:03,080 --> 00:27:07,080 Speaker 1: really really fucked up about him being killed. I don't 498 00:27:07,080 --> 00:27:09,119 Speaker 1: know what it was, aside from all the good that 499 00:27:09,160 --> 00:27:12,920 Speaker 1: he was doing, but I've just something about his murder 500 00:27:12,960 --> 00:27:17,919 Speaker 1: really affected me because he was really a person in 501 00:27:18,320 --> 00:27:23,679 Speaker 1: South l A who was doing everything right, uh to 502 00:27:23,720 --> 00:27:25,480 Speaker 1: a certain extent, Like I mean, like, yeah, he made 503 00:27:25,480 --> 00:27:27,879 Speaker 1: mistakes or whatever, but he took his celebrity and his 504 00:27:27,920 --> 00:27:32,240 Speaker 1: success and truly truly reinvested it in his neighborhood and 505 00:27:32,760 --> 00:27:37,320 Speaker 1: was really wanting to uplift marginalized people that the traditional 506 00:27:37,840 --> 00:27:40,639 Speaker 1: systems of support like the government and municipalities have do 507 00:27:40,720 --> 00:27:45,640 Speaker 1: not care about um from bringing his Marathon clothing store 508 00:27:45,680 --> 00:27:49,240 Speaker 1: where he was killed, to his neighborhood and employing people 509 00:27:49,280 --> 00:27:52,000 Speaker 1: there to starting Vector ninety, which was this program it 510 00:27:52,080 --> 00:27:54,760 Speaker 1: was like a coworking space for young black kids who 511 00:27:54,760 --> 00:27:57,560 Speaker 1: were interested in, you know, the stem field to go 512 00:27:57,680 --> 00:27:59,680 Speaker 1: and find new ways to educate, like to learn about 513 00:27:59,720 --> 00:28:01,840 Speaker 1: the stem field and find new options. And he was 514 00:28:01,920 --> 00:28:05,400 Speaker 1: really really trying to not just like create opportunity, but 515 00:28:05,800 --> 00:28:09,720 Speaker 1: he wanted to make his neighborhood, which there's a lot 516 00:28:09,800 --> 00:28:12,240 Speaker 1: going on there in terms of like gang vines and 517 00:28:12,240 --> 00:28:14,360 Speaker 1: things like that, but really trying to give people options 518 00:28:14,400 --> 00:28:16,119 Speaker 1: to keep at a place where people would want to 519 00:28:16,160 --> 00:28:19,600 Speaker 1: stay and live, and keep his community thriving. And to 520 00:28:19,720 --> 00:28:24,000 Speaker 1: see him just gunned down, you know, in his own 521 00:28:24,040 --> 00:28:28,160 Speaker 1: neighborhood where he was really loved, just really, Oh, it's 522 00:28:28,200 --> 00:28:30,600 Speaker 1: just so it's such a hard thing to swallow. And 523 00:28:30,640 --> 00:28:32,359 Speaker 1: I think a lot of people were wanting to, you know, 524 00:28:32,400 --> 00:28:34,800 Speaker 1: say like, oh, it's a conspiracy theory because he was 525 00:28:34,840 --> 00:28:38,000 Speaker 1: doing a documentary about this doctor who who had claimed 526 00:28:38,040 --> 00:28:40,080 Speaker 1: with Cured AIDS and things like that, and it was 527 00:28:40,080 --> 00:28:42,960 Speaker 1: just a hard thing to think that just within the 528 00:28:42,960 --> 00:28:47,160 Speaker 1: own community. Someone took his life, and I just think 529 00:28:47,240 --> 00:28:49,560 Speaker 1: it's a Again, it's not just a tremendous loss to 530 00:28:50,200 --> 00:28:53,240 Speaker 1: l A to hip hop, to his family and his children, 531 00:28:53,280 --> 00:28:56,400 Speaker 1: but just as an example for you know, people, just 532 00:28:56,720 --> 00:28:59,280 Speaker 1: for our society of somebody who like, yes, he was 533 00:28:59,360 --> 00:29:03,120 Speaker 1: a rolling sixties crib, he really did everything he could 534 00:29:03,320 --> 00:29:06,560 Speaker 1: to help people, uh, and even to the point where 535 00:29:06,560 --> 00:29:08,480 Speaker 1: like he was supposed to on Monday have a meeting 536 00:29:08,480 --> 00:29:10,760 Speaker 1: with the l A p D on like trying to 537 00:29:10,760 --> 00:29:14,720 Speaker 1: give them like actionable ideas on how to curb gang 538 00:29:14,800 --> 00:29:18,000 Speaker 1: violence and things like that. Um. And I yeah, I 539 00:29:18,080 --> 00:29:20,160 Speaker 1: just I think it's really important. I think people to 540 00:29:20,800 --> 00:29:23,640 Speaker 1: not let him die in vain and really take a 541 00:29:23,640 --> 00:29:25,840 Speaker 1: look at like, you know, a lot of people are like, well, 542 00:29:25,840 --> 00:29:27,360 Speaker 1: you know, what would you expect he's a gang member 543 00:29:27,360 --> 00:29:31,480 Speaker 1: and this is gonna happen. Well you know that granted, yes, uh, 544 00:29:31,520 --> 00:29:34,480 Speaker 1: he was a gang member, but the altercation that led 545 00:29:34,480 --> 00:29:36,920 Speaker 1: to his death wasn't over you know, a gang dispute. 546 00:29:36,960 --> 00:29:40,120 Speaker 1: It was like a personal dispute. Um. And people need 547 00:29:40,120 --> 00:29:43,120 Speaker 1: to also recognize that people of color, we don't choose 548 00:29:43,160 --> 00:29:45,479 Speaker 1: to be in gangs because it's cool. You do that 549 00:29:45,520 --> 00:29:49,760 Speaker 1: because there are no we have exhausted options to survive. Uh. 550 00:29:49,800 --> 00:29:51,920 Speaker 1: And you know, I think we need to look at 551 00:29:52,440 --> 00:29:55,239 Speaker 1: why we have uh these sort of ills in our 552 00:29:55,240 --> 00:29:58,280 Speaker 1: community and also like how we can better serve each 553 00:29:58,320 --> 00:30:00,960 Speaker 1: other in general. And just like, you know, you don't 554 00:30:01,000 --> 00:30:03,920 Speaker 1: have to live in a neighborhood that suffers from gang 555 00:30:04,000 --> 00:30:06,479 Speaker 1: violence to think about how you're contributing to your own 556 00:30:06,520 --> 00:30:09,240 Speaker 1: neighborhood and if you're actually putting your time and energy 557 00:30:09,240 --> 00:30:10,840 Speaker 1: in a way that is actually going to help people. 558 00:30:11,080 --> 00:30:14,080 Speaker 1: So you know, I just wanted to yeh, to speak 559 00:30:14,080 --> 00:30:15,560 Speaker 1: on that a bit, but yeah, it was really tough. 560 00:30:15,720 --> 00:30:18,400 Speaker 1: I just really hope that people use this as an 561 00:30:18,400 --> 00:30:20,720 Speaker 1: example of like I want, I don't want people to 562 00:30:20,760 --> 00:30:23,840 Speaker 1: be discouraged from investing in community with them to use 563 00:30:23,920 --> 00:30:26,240 Speaker 1: him as an example of how to invest in community, 564 00:30:26,240 --> 00:30:28,239 Speaker 1: because I can easily see people saying like, well, this 565 00:30:28,280 --> 00:30:29,960 Speaker 1: is why we don't, this is why you have to 566 00:30:30,040 --> 00:30:33,760 Speaker 1: leave right or gentrified, you know. And that's the other 567 00:30:33,840 --> 00:30:36,240 Speaker 1: thing that you know, his work was doing. Like you 568 00:30:36,280 --> 00:30:37,880 Speaker 1: look at parts of South l a Man, there are 569 00:30:37,920 --> 00:30:40,680 Speaker 1: parts of like where my dad grew up and where 570 00:30:40,720 --> 00:30:44,000 Speaker 1: a lot of my family lives where it was predominantly black, 571 00:30:44,080 --> 00:30:49,479 Speaker 1: and now it's like whatever, Um, things are changing. But 572 00:30:49,600 --> 00:30:52,760 Speaker 1: I think, you know, again, there was a lot, he 573 00:30:52,880 --> 00:30:55,520 Speaker 1: had a lot of momentum going and it's just a 574 00:30:55,600 --> 00:30:57,400 Speaker 1: shame to see something like this happened. And he's only 575 00:30:57,400 --> 00:31:02,000 Speaker 1: thirty three years old. Um so yeah, I uh, I 576 00:31:02,040 --> 00:31:04,040 Speaker 1: just want people to check him out and don't just 577 00:31:04,120 --> 00:31:06,280 Speaker 1: think of him as some gangster rapper who just got 578 00:31:06,360 --> 00:31:08,200 Speaker 1: killed over some dumb ship. I mean, he did get 579 00:31:08,280 --> 00:31:11,280 Speaker 1: killed over some bullshit. What was it that he got 580 00:31:11,360 --> 00:31:13,600 Speaker 1: killed over? He had he had an art like an 581 00:31:13,680 --> 00:31:17,120 Speaker 1: argument with this other dude that was arrested or someone 582 00:31:17,160 --> 00:31:19,240 Speaker 1: else the one that was arrested, and then like the 583 00:31:19,400 --> 00:31:22,120 Speaker 1: security footage I mean shows them kind of him coming 584 00:31:22,120 --> 00:31:23,400 Speaker 1: in and out of the shop to argue and then 585 00:31:23,400 --> 00:31:27,240 Speaker 1: eventually came back with a gun and shot him. Um 586 00:31:27,280 --> 00:31:29,040 Speaker 1: so yeah, I would like for people to you know, 587 00:31:29,160 --> 00:31:31,080 Speaker 1: read up a little bit about him and see that 588 00:31:31,120 --> 00:31:33,240 Speaker 1: there are forces of good out there that are cut 589 00:31:33,240 --> 00:31:35,560 Speaker 1: down way too short and this was a prime example 590 00:31:35,560 --> 00:31:36,920 Speaker 1: of that. And when you look at just sort of 591 00:31:37,080 --> 00:31:40,640 Speaker 1: the outpouring of emotion from not just people in hip hop, 592 00:31:40,680 --> 00:31:42,320 Speaker 1: but just even like the L A. P. D was 593 00:31:42,400 --> 00:31:47,120 Speaker 1: like sucking the you know what I mean. And granted, yes, 594 00:31:47,120 --> 00:31:49,640 Speaker 1: there's already a tense relationship between you know, the l 595 00:31:49,680 --> 00:31:51,360 Speaker 1: A p D and the people that live in this city. 596 00:31:51,600 --> 00:31:55,520 Speaker 1: But uh, you know, his his dedication to his community 597 00:31:55,560 --> 00:31:59,520 Speaker 1: transcended uh, you know, most barriers. So yeah, and just 598 00:32:00,040 --> 00:32:03,720 Speaker 1: on that subject, somebody else who is just like one 599 00:32:03,720 --> 00:32:06,200 Speaker 1: of many people who was affected by this. But Russell 600 00:32:06,200 --> 00:32:10,920 Speaker 1: Westbrook is a l A native, and you know he's 601 00:32:10,960 --> 00:32:15,040 Speaker 1: on the Oklahoma City Thunder, him and Paul Georgia like 602 00:32:15,080 --> 00:32:17,959 Speaker 1: the two leaders of that team, and have just been like, 603 00:32:18,320 --> 00:32:22,040 Speaker 1: you know, devastated by the loss and had had their 604 00:32:22,080 --> 00:32:25,160 Speaker 1: first game in l A since Nipsey Hustle was killed 605 00:32:25,200 --> 00:32:27,880 Speaker 1: in h You know, he was just he was sitting 606 00:32:27,880 --> 00:32:30,560 Speaker 1: on the bench before the game like with headphunds on, 607 00:32:30,600 --> 00:32:33,880 Speaker 1: listening to Nipsey Hustle and then went out and put 608 00:32:34,000 --> 00:32:36,480 Speaker 1: up the just like was playing out of his mind. 609 00:32:36,560 --> 00:32:40,240 Speaker 1: As if you're an NBA fan, you know, only Russell 610 00:32:40,280 --> 00:32:43,360 Speaker 1: Westbrook can like sometimes he just gets this like energy 611 00:32:44,440 --> 00:32:47,000 Speaker 1: where it's just like, I mean, first of all, he's 612 00:32:47,200 --> 00:32:49,480 Speaker 1: one of the great athletes of all time, but there's 613 00:32:49,520 --> 00:32:53,320 Speaker 1: also just like an energy that is like unstoppable and 614 00:32:53,400 --> 00:32:57,280 Speaker 1: other worldly that sometimes takes over him. And he put 615 00:32:57,360 --> 00:33:03,239 Speaker 1: up the second ever twenty twenty points, twenty rebounds, twenty assists, 616 00:33:03,440 --> 00:33:09,000 Speaker 1: which is insane for I mean it. So, the first 617 00:33:09,040 --> 00:33:13,320 Speaker 1: person to do it was Wilt Chamberlain and he was 618 00:33:13,440 --> 00:33:16,200 Speaker 1: seven one when the average height of NBA players was 619 00:33:16,280 --> 00:33:22,680 Speaker 1: six five, and everyone was about as athletic as like, yeah, 620 00:33:23,720 --> 00:33:25,400 Speaker 1: you know, like if you go back and watch like 621 00:33:25,520 --> 00:33:30,400 Speaker 1: nineties college basketball, it's like, you know, okay, seed here, Yeah, 622 00:33:30,400 --> 00:33:32,240 Speaker 1: there's a little seed here and there, but there's a 623 00:33:32,280 --> 00:33:34,560 Speaker 1: lot of dudes out there who are like, but what 624 00:33:34,720 --> 00:33:37,080 Speaker 1: is it? What is that person doing out there? That's 625 00:33:37,080 --> 00:33:40,760 Speaker 1: what NBA basketball at that time looked like. And now 626 00:33:40,840 --> 00:33:44,280 Speaker 1: the average height is six seven and everyone is as 627 00:33:44,360 --> 00:33:48,320 Speaker 1: athletic as Wilt Chamberlain was, and he put up was 628 00:33:48,320 --> 00:33:50,440 Speaker 1: the first person to do it. And you know, there's 629 00:33:50,480 --> 00:33:54,440 Speaker 1: pictures of Russell Westbrook and Nipsey hustle together. Russell Westbrook 630 00:33:54,480 --> 00:33:57,320 Speaker 1: is also somebody who is very focused on giving back 631 00:33:57,360 --> 00:34:01,240 Speaker 1: to his community and all, so somebody who has hustled 632 00:34:01,240 --> 00:34:04,800 Speaker 1: in his nickname, and yeah, it was just a really 633 00:34:05,480 --> 00:34:10,359 Speaker 1: kind of moving moment. So yeah, yeah, shout out to him. 634 00:34:10,400 --> 00:34:13,279 Speaker 1: And it's just it's also just you know, you kind 635 00:34:13,280 --> 00:34:17,000 Speaker 1: of just see the role of just violence and how 636 00:34:17,200 --> 00:34:19,279 Speaker 1: it's still kind of you know, it's still glorified in 637 00:34:19,400 --> 00:34:23,200 Speaker 1: hip hop and just sort of you know, you could 638 00:34:23,239 --> 00:34:25,920 Speaker 1: just see from people like the reactions of rappers, like 639 00:34:25,960 --> 00:34:28,640 Speaker 1: gangster rappers, like the Game or like Snoop and other 640 00:34:28,640 --> 00:34:32,680 Speaker 1: people just being like, kind of, really, it hasn't it 641 00:34:32,760 --> 00:34:34,520 Speaker 1: just hasn't. It just had an effect on people and 642 00:34:34,640 --> 00:34:37,480 Speaker 1: I and I hope that there's a way for everybody 643 00:34:37,520 --> 00:34:41,600 Speaker 1: to move forward and not you know, not tear us apart. 644 00:34:41,600 --> 00:34:47,439 Speaker 1: Even more, the Department of Homeland Security has done the 645 00:34:47,480 --> 00:34:52,960 Speaker 1: exact wrong thing it would. Yeah, so, according to a 646 00:34:52,960 --> 00:34:57,080 Speaker 1: new report and the Daily Beast, the DHS just kind 647 00:34:57,120 --> 00:35:01,120 Speaker 1: of quietly behind closed doors, does of a unit of 648 00:35:01,160 --> 00:35:06,719 Speaker 1: analysts in its Office of Intelligence and Analysis whose job 649 00:35:06,800 --> 00:35:11,520 Speaker 1: was to focus on domestic terror threats and homegrown violent extremism. 650 00:35:11,640 --> 00:35:14,879 Speaker 1: Uh and you know, share what they found with state 651 00:35:14,920 --> 00:35:19,359 Speaker 1: and local law enforcement. This is the lack of this 652 00:35:19,440 --> 00:35:22,040 Speaker 1: sort of thing has been the story of the past 653 00:35:22,040 --> 00:35:24,520 Speaker 1: couple of years, like the fact that there is not 654 00:35:24,920 --> 00:35:32,120 Speaker 1: enough intelligence and policing on homegrown terror threats and they 655 00:35:32,160 --> 00:35:35,520 Speaker 1: are choosing to kind of walk it back. Yeah, and 656 00:35:35,600 --> 00:35:39,839 Speaker 1: the former head of this unit was basically saying like, oh, 657 00:35:39,880 --> 00:35:43,040 Speaker 1: it's really not that essential, you know, since like the 658 00:35:43,080 --> 00:35:45,719 Speaker 1: FBI also does this, does this stuff, and you know, 659 00:35:45,760 --> 00:35:48,600 Speaker 1: we want to leave the terrorism stuff to the FBI. 660 00:35:48,680 --> 00:35:50,920 Speaker 1: And also like there you know, we don't even redundant 661 00:35:50,920 --> 00:35:55,240 Speaker 1: work happening. Um, I'm sorry, you want as much fucking 662 00:35:55,239 --> 00:35:59,560 Speaker 1: redundant analysis done as possible because you want to ensure 663 00:35:59,600 --> 00:36:03,320 Speaker 1: this samey of the citizens. The thing is, the local 664 00:36:03,360 --> 00:36:06,319 Speaker 1: law enforcement that was receiving all of this intelligence does 665 00:36:06,360 --> 00:36:09,120 Speaker 1: not feel that way at all about this unit. This 666 00:36:09,440 --> 00:36:12,640 Speaker 1: l A County Sheriff's department sergeant in this Daily Beast 667 00:36:12,719 --> 00:36:15,040 Speaker 1: article said that his office quote used to receive a 668 00:36:15,080 --> 00:36:17,759 Speaker 1: significant amount of the material from this department, but that 669 00:36:17,800 --> 00:36:19,880 Speaker 1: the communications have dried up in recent months and for 670 00:36:19,920 --> 00:36:22,839 Speaker 1: the last six months, he said this, this unit has 671 00:36:22,880 --> 00:36:25,560 Speaker 1: been mostly silent um and he said this has been 672 00:36:25,600 --> 00:36:28,279 Speaker 1: consistent with broader changes in how the department communicates with 673 00:36:28,320 --> 00:36:30,319 Speaker 1: his office. And this is a quote from him as 674 00:36:30,320 --> 00:36:32,640 Speaker 1: his quote. It's been very quiet lately. It's changed with 675 00:36:32,680 --> 00:36:34,880 Speaker 1: the new administration. It doesn't seem to be as robust, 676 00:36:34,880 --> 00:36:37,440 Speaker 1: as active, as important. It is important I'm sure, but 677 00:36:37,480 --> 00:36:40,120 Speaker 1: it's not a priority. It doesn't seem like engagement, outreach, 678 00:36:40,160 --> 00:36:43,279 Speaker 1: and prevention are seen as priority as we used to 679 00:36:43,320 --> 00:36:45,880 Speaker 1: see in the past. Uh, they're round table meetings. In 680 00:36:45,920 --> 00:36:48,680 Speaker 1: the past, there was more activity, more training, more seminars. 681 00:36:48,840 --> 00:36:51,680 Speaker 1: Now it seems like it's gone away. I have some 682 00:36:51,760 --> 00:36:56,120 Speaker 1: mixed feelings about this as the Muslim person. Yes, because 683 00:36:56,160 --> 00:36:59,680 Speaker 1: we've been doing a lot of campaigning against the Countering 684 00:36:59,760 --> 00:37:02,720 Speaker 1: Violent Extremism Program that had been created at the DHS 685 00:37:02,800 --> 00:37:06,600 Speaker 1: under the Obama administration. And the Countering Violent Extremism Program 686 00:37:06,719 --> 00:37:11,880 Speaker 1: was going to fund Muslim organizations to do kind of 687 00:37:11,960 --> 00:37:14,680 Speaker 1: like cointel pro like like see something, say something amongst 688 00:37:14,680 --> 00:37:17,680 Speaker 1: the Muslim community. So this is an arm of that. 689 00:37:18,440 --> 00:37:20,080 Speaker 1: We've been doing a lot of campaigning to make sure 690 00:37:20,120 --> 00:37:22,560 Speaker 1: that money wasn't coming into l A, which was one 691 00:37:22,600 --> 00:37:24,880 Speaker 1: of the pilot cities. About four million dollars was come 692 00:37:24,920 --> 00:37:28,000 Speaker 1: to l A to get muslim suspy on each other essentially. 693 00:37:28,040 --> 00:37:32,080 Speaker 1: And I think my issue is that for me in 694 00:37:32,120 --> 00:37:35,759 Speaker 1: domestic terror issues is with white supremacy right now, Like 695 00:37:35,840 --> 00:37:38,560 Speaker 1: we see more deaths with white supremacy than we do 696 00:37:38,680 --> 00:37:43,320 Speaker 1: with Muslim terrorism. But because of who's in the government, 697 00:37:43,360 --> 00:37:46,319 Speaker 1: there was a stupid amount of money and focus on 698 00:37:46,640 --> 00:37:49,759 Speaker 1: Muslim communities that wasn't on you know, where it really 699 00:37:49,760 --> 00:37:52,040 Speaker 1: should have been. So in one way, I feel like, yeah, 700 00:37:52,160 --> 00:37:55,480 Speaker 1: we like it worked that we pushed back on DHS 701 00:37:55,560 --> 00:37:58,760 Speaker 1: from preventing money from coming into the Muslim community locally. 702 00:37:59,400 --> 00:38:01,719 Speaker 1: But on the side time it's like, well, I do 703 00:38:01,800 --> 00:38:05,239 Speaker 1: want the domestic white terrorists that are killing people to 704 00:38:05,360 --> 00:38:09,200 Speaker 1: be checked in all this, right, I just don't trust 705 00:38:09,239 --> 00:38:12,279 Speaker 1: DHS to do anything properly, right, yeah, yeah, And it 706 00:38:12,320 --> 00:38:14,480 Speaker 1: seems like their whole thing is they're just passing the 707 00:38:14,520 --> 00:38:17,279 Speaker 1: buck to that fb I and the like that's their thing. Uh, 708 00:38:17,320 --> 00:38:23,120 Speaker 1: and we'll let them, you know, entrap people, which is 709 00:38:23,160 --> 00:38:26,080 Speaker 1: like it's wild to think that that's you know, we're 710 00:38:26,120 --> 00:38:29,240 Speaker 1: trying to reconcile this one problematic way of trying to 711 00:38:29,320 --> 00:38:32,000 Speaker 1: keep people safe. But then we see a lot of 712 00:38:32,120 --> 00:38:36,440 Speaker 1: entrapment of Muslim Americans when it was coming to Islamic terrorism, 713 00:38:36,480 --> 00:38:38,399 Speaker 1: but when it comes to far right terrorism, it's still 714 00:38:38,440 --> 00:38:40,960 Speaker 1: have been like, well, you know, the yeah, they'll figure 715 00:38:40,960 --> 00:38:42,600 Speaker 1: it out. Yeah, and Trump has even said it's a 716 00:38:42,680 --> 00:38:45,120 Speaker 1: very small amount, it's not even like it's not a thing. 717 00:38:45,480 --> 00:38:47,640 Speaker 1: But when you look at what's happened in Pittsburgh and 718 00:38:47,800 --> 00:38:52,120 Speaker 1: Charlottesville or Talent, yes, and just around. Yeah, there's a 719 00:38:52,320 --> 00:38:55,480 Speaker 1: this is an issue. This is an actual terrorist threat. 720 00:38:55,880 --> 00:38:58,640 Speaker 1: You know, for Trump, right, he has to like constantly 721 00:38:58,680 --> 00:39:01,720 Speaker 1: be winking at the far right since they make up 722 00:39:01,560 --> 00:39:04,399 Speaker 1: a portion. Yeah, they make up a portion of his base. 723 00:39:04,480 --> 00:39:07,359 Speaker 1: And so to enforce the law and treat them like 724 00:39:07,480 --> 00:39:11,760 Speaker 1: the terrorists that they are would strain that relationship. And 725 00:39:11,760 --> 00:39:13,480 Speaker 1: and so like we're always like, how the fund did 726 00:39:13,520 --> 00:39:15,080 Speaker 1: this happen? I mean really, this is just lack of 727 00:39:15,120 --> 00:39:18,560 Speaker 1: attention to me just reads as a complete endorsement of this, uh, 728 00:39:18,600 --> 00:39:21,440 Speaker 1: this kind of this kind of terror, you know, because 729 00:39:21,440 --> 00:39:23,920 Speaker 1: if you don't, if you don't even have the wherewithal 730 00:39:24,160 --> 00:39:26,520 Speaker 1: just used you know, hide behind semantics to be like, oh, 731 00:39:26,600 --> 00:39:29,040 Speaker 1: well there's the redundant reaess. You know, we don't we 732 00:39:29,320 --> 00:39:32,480 Speaker 1: think it needs to be more efficient. I don't think that. Yeah, 733 00:39:32,640 --> 00:39:35,160 Speaker 1: this is a very strong tactic that they're doing. This 734 00:39:35,360 --> 00:39:39,640 Speaker 1: ambivalence is a tactic, yes, And then you know, the 735 00:39:39,760 --> 00:39:43,000 Speaker 1: less they're monitoring it, the more it's going to keep happening, 736 00:39:43,040 --> 00:39:46,080 Speaker 1: and the less they're able to actually try and stop it. 737 00:39:46,120 --> 00:39:50,919 Speaker 1: At the route yeah, so yeah, again, see more stuff 738 00:39:50,960 --> 00:39:54,400 Speaker 1: to put on our plate. Like, I mean, that's interesting. 739 00:39:54,520 --> 00:39:57,080 Speaker 1: You know, you're doing countering this sort of thing at 740 00:39:57,120 --> 00:40:00,839 Speaker 1: the grassroots level and at the like you know, activism level. 741 00:40:01,320 --> 00:40:06,080 Speaker 1: And meanwhile, like Fox News and right wing media apparatus 742 00:40:06,280 --> 00:40:10,040 Speaker 1: is the one that pushes back anytime there's any sort 743 00:40:10,080 --> 00:40:15,200 Speaker 1: of movement to you know, push back on white supremacy 744 00:40:15,360 --> 00:40:18,640 Speaker 1: or you know, vanilla isis as we call them, uh 745 00:40:18,880 --> 00:40:23,759 Speaker 1: like just any any time any type of Yeah, I 746 00:40:23,760 --> 00:40:27,720 Speaker 1: mean Obama like did some things to kind of get 747 00:40:27,840 --> 00:40:32,560 Speaker 1: intelligence communities to and DHS to focus on right wing 748 00:40:32,800 --> 00:40:37,840 Speaker 1: terror and people flipped out. People lost their ship on 749 00:40:37,920 --> 00:40:41,239 Speaker 1: Fox News. Russell Limbaugh lost his ship. And so that 750 00:40:41,239 --> 00:40:43,160 Speaker 1: that's the level of that is happening. It's happening out 751 00:40:43,160 --> 00:40:46,239 Speaker 1: in the open and through a megaphone on the right 752 00:40:46,440 --> 00:40:49,960 Speaker 1: when whenever anybody is trying to push back on this. 753 00:40:50,239 --> 00:40:52,880 Speaker 1: That's yeah, I mean, Tucker Carlson's in the world. This 754 00:40:52,960 --> 00:40:56,080 Speaker 1: is what this is the damage they're doing. They all have. 755 00:40:56,360 --> 00:40:58,960 Speaker 1: Ben Shapiro has blood on his hands when it comes 756 00:40:58,960 --> 00:41:02,360 Speaker 1: to these attacks. And the I mean like this week 757 00:41:02,440 --> 00:41:05,319 Speaker 1: week we saw that the Highlander Center and Tennessee got 758 00:41:05,320 --> 00:41:07,840 Speaker 1: burned down that was like the center of civil rights 759 00:41:08,600 --> 00:41:11,360 Speaker 1: um knowledge and that was then by an arson. Is 760 00:41:11,480 --> 00:41:14,520 Speaker 1: after the Christchurch shooting happened, there was attacks happening in 761 00:41:14,560 --> 00:41:17,800 Speaker 1: San Diego, at the at a mosque down in San Diego. 762 00:41:17,920 --> 00:41:20,600 Speaker 1: So like all of the things that are happening in 763 00:41:20,640 --> 00:41:24,919 Speaker 1: society are basically giving permission to the people who would 764 00:41:24,920 --> 00:41:29,879 Speaker 1: have been observed under this domestic terrorism effort. They're giving 765 00:41:30,000 --> 00:41:32,839 Speaker 1: is giving them permission to keep keep attacking. And each 766 00:41:32,880 --> 00:41:35,680 Speaker 1: attack or action like this or like you know, the 767 00:41:35,920 --> 00:41:38,600 Speaker 1: like the arson that happened in Tennessee, is meant to 768 00:41:38,719 --> 00:41:40,759 Speaker 1: just signal to other people. It's like, hey, if you're 769 00:41:40,760 --> 00:41:43,920 Speaker 1: thinking about it, yeah, hop on, it's okay. Yeah, And 770 00:41:43,960 --> 00:41:46,360 Speaker 1: I mean I think that. So there's the story that's 771 00:41:46,400 --> 00:41:49,880 Speaker 1: been reported over the past week about how the Trump 772 00:41:49,880 --> 00:41:54,600 Speaker 1: administration there were like twenty five different security clearance denials 773 00:41:54,640 --> 00:41:57,960 Speaker 1: that were overturned by the Trump administration. And when you 774 00:41:58,280 --> 00:42:01,279 Speaker 1: look into the details of how that went, it just 775 00:42:01,320 --> 00:42:05,680 Speaker 1: gives an idea of like how they control things like 776 00:42:05,800 --> 00:42:08,479 Speaker 1: this behind the scenes, like how they get their form 777 00:42:08,520 --> 00:42:13,200 Speaker 1: of corruption through uh and you know, don't you know, 778 00:42:13,560 --> 00:42:16,520 Speaker 1: it's a it's a buddy system. It's like any corrupt organization. 779 00:42:16,600 --> 00:42:20,160 Speaker 1: But I wanted to talk specifically about So according to 780 00:42:20,320 --> 00:42:24,359 Speaker 1: the memo, there was a whistleblower who you know, put 781 00:42:24,400 --> 00:42:28,680 Speaker 1: together a list of overturned security clearance denials, which included 782 00:42:28,680 --> 00:42:32,760 Speaker 1: two current senior White House officials, contractors, individuals throughout different 783 00:42:32,800 --> 00:42:35,720 Speaker 1: components of the Executive Office of the President. Was like, Yo, 784 00:42:35,800 --> 00:42:40,200 Speaker 1: this is not this is unprecedent. It's not just Jerry Kushner. Like, 785 00:42:40,280 --> 00:42:44,359 Speaker 1: a lot of people who don't live up to our 786 00:42:44,400 --> 00:42:50,080 Speaker 1: security standards are getting access to incredible amounts of very 787 00:42:50,200 --> 00:42:53,879 Speaker 1: very you know, sensitive data should point to a wide 788 00:42:53,960 --> 00:42:59,080 Speaker 1: range of serious disqualifying issues involving foreign influence, conflicts of interest, uh, 789 00:42:59,239 --> 00:43:04,360 Speaker 1: personal con duck, financial problems, drug use, criminal conduct. And 790 00:43:05,040 --> 00:43:07,120 Speaker 1: so she raised her concern up the chain of command 791 00:43:07,160 --> 00:43:10,680 Speaker 1: in the White House, and the White House retaliated by 792 00:43:10,760 --> 00:43:14,520 Speaker 1: suspending her in January for fourteen days without pay for 793 00:43:14,760 --> 00:43:18,440 Speaker 1: not following a new policy requiring that documents be scanned 794 00:43:18,480 --> 00:43:22,040 Speaker 1: as separate PDF files rather than one single PDF. This 795 00:43:22,080 --> 00:43:25,239 Speaker 1: woman is the one that's she's disabled, right, the rare 796 00:43:25,320 --> 00:43:27,640 Speaker 1: form of dwarfism. Right, So they were China. They put 797 00:43:27,680 --> 00:43:30,720 Speaker 1: all the documents at a place where she couldn't access 798 00:43:30,760 --> 00:43:35,479 Speaker 1: them physically. Yeah, but I'm pretty sure Elijah Cumming said 799 00:43:35,600 --> 00:43:38,760 Speaker 1: he is going to be asking I think the man's 800 00:43:38,840 --> 00:43:43,399 Speaker 1: name is Carl Klein who was working in that office, uh, 801 00:43:43,480 --> 00:43:47,120 Speaker 1: to come to the hill to basically explain what the 802 00:43:47,120 --> 00:43:48,960 Speaker 1: fun is going on over there? And then she was 803 00:43:49,000 --> 00:43:51,800 Speaker 1: immediately demoted. H Yeah, and you know what she was. 804 00:43:51,960 --> 00:43:54,920 Speaker 1: She went back to work though, because she's still not 805 00:43:55,400 --> 00:43:57,719 Speaker 1: she really gives a ship and it, Sarah, it sucks 806 00:43:57,760 --> 00:43:59,279 Speaker 1: when you have these people who are you know, they 807 00:43:59,280 --> 00:44:01,640 Speaker 1: are actually devote to trying to be like, Hi, we 808 00:44:01,680 --> 00:44:04,680 Speaker 1: need to make sure that you know, sensitive information isn't 809 00:44:04,719 --> 00:44:07,040 Speaker 1: just going to people who are gonna you know, weaponize 810 00:44:07,080 --> 00:44:09,840 Speaker 1: it or commodified for their own gain. And then you 811 00:44:09,920 --> 00:44:12,880 Speaker 1: have these hacks in here, just like I think one 812 00:44:12,880 --> 00:44:14,640 Speaker 1: of the reasons with I think that Jared Kushner one 813 00:44:14,719 --> 00:44:18,560 Speaker 1: was like, oh, those all happened earlier, so let's just clear. 814 00:44:18,640 --> 00:44:20,680 Speaker 1: Let's I think we can clear. That's what a background 815 00:44:20,800 --> 00:44:24,319 Speaker 1: check is. It's like hagund check. But yeah, that was 816 00:44:24,800 --> 00:44:27,759 Speaker 1: before what happened to you before you just pulled up 817 00:44:27,760 --> 00:44:29,319 Speaker 1: to me right now, so I know who the funk 818 00:44:29,400 --> 00:44:33,680 Speaker 1: you are? So how reality works. Yeah, all right, we're 819 00:44:33,680 --> 00:44:46,000 Speaker 1: gonna take another quick break. We'll be right back, and 820 00:44:46,120 --> 00:44:49,840 Speaker 1: we're back, and uh, it's time to talk about Tucker 821 00:44:49,920 --> 00:44:54,560 Speaker 1: Carlson everybody. Uh, you know, we could talk shit about him, 822 00:44:54,640 --> 00:44:58,479 Speaker 1: but why do that when the professionals are already doing 823 00:44:58,520 --> 00:45:02,080 Speaker 1: it for real better than I ever. Man. For those 824 00:45:02,080 --> 00:45:05,880 Speaker 1: of you who are not up on things, Uh, there's 825 00:45:06,040 --> 00:45:09,360 Speaker 1: uh so there's two men from the Bronx names Jesus 826 00:45:09,440 --> 00:45:13,000 Speaker 1: Nice and the Kid Merrow, also known as the Bodega Boys. Uh, 827 00:45:13,040 --> 00:45:15,080 Speaker 1: and they if you know anything about them, for them, 828 00:45:15,239 --> 00:45:18,359 Speaker 1: the mantra is b X all day. So they hold 829 00:45:18,360 --> 00:45:20,600 Speaker 1: it down for the Bronx where they're from. Uh. And 830 00:45:20,680 --> 00:45:26,240 Speaker 1: Tucker Carlson on Monday, he basically tried them by going 831 00:45:26,280 --> 00:45:30,200 Speaker 1: on about AOC who is they're tight with, and then 832 00:45:30,400 --> 00:45:34,200 Speaker 1: talking about how basically her this this kind of feminist politician, 833 00:45:34,280 --> 00:45:36,000 Speaker 1: look at look at what it's doing to them men 834 00:45:36,080 --> 00:45:40,400 Speaker 1: in this country. Points to Chris Hayes, who is a 835 00:45:40,400 --> 00:45:43,920 Speaker 1: actually a fellow Bronx native and MSNBC host went to 836 00:45:44,000 --> 00:45:47,319 Speaker 1: high school with Merrow, Right, Yeah, are with Jesus and 837 00:45:47,600 --> 00:45:50,680 Speaker 1: actually and the Rapper Immortal Technique and Lin Manuel Miranda. 838 00:45:50,760 --> 00:45:53,520 Speaker 1: They were all in the same school. Uh. And basically, 839 00:45:53,760 --> 00:45:56,919 Speaker 1: Tucker Carlson described Chris Hayes as quote what every man 840 00:45:57,040 --> 00:46:02,800 Speaker 1: would be if feminists ever achieved absolute pour in this country, apologetic, bespectacled, 841 00:46:03,040 --> 00:46:07,479 Speaker 1: and deeply concerned about global warming. Uh. And then Chris Hayes, 842 00:46:07,520 --> 00:46:09,480 Speaker 1: you know, he responded and his I G stories with 843 00:46:09,560 --> 00:46:11,480 Speaker 1: him like lifting weights, and he's like, when the feminist 844 00:46:11,560 --> 00:46:14,920 Speaker 1: Jude who does are adjudicating our bodies, we must make 845 00:46:14,920 --> 00:46:17,960 Speaker 1: sure we're ripped enough or else we face summary execution. 846 00:46:18,000 --> 00:46:20,080 Speaker 1: It's like, you know, just joking about whatever his joke was. 847 00:46:20,360 --> 00:46:23,319 Speaker 1: But the person who did not like this at all 848 00:46:24,040 --> 00:46:27,040 Speaker 1: was the kid Marrow. Uh. And he came for Tucker 849 00:46:27,080 --> 00:46:30,560 Speaker 1: Carlos's neck. He just added the man okay and said, yo, 850 00:46:30,800 --> 00:46:32,360 Speaker 1: you know. And if you know, if you follow Marrow 851 00:46:32,440 --> 00:46:34,880 Speaker 1: on i G or on Twitter, he only tweets in 852 00:46:34,920 --> 00:46:37,919 Speaker 1: all caps, so it's always this aggressive. And he says, 853 00:46:37,960 --> 00:46:40,600 Speaker 1: yo at Tucker Carlsy, you're a wild, wild pussy. And 854 00:46:40,600 --> 00:46:43,000 Speaker 1: I got ten racks on Chris Hayes washing you handily 855 00:46:43,000 --> 00:46:45,239 Speaker 1: in the parking lot. And baby Plausa, no gloves, no rules, 856 00:46:45,239 --> 00:46:47,799 Speaker 1: You're a fucking herb dog. Nobody at phone news wants 857 00:46:47,800 --> 00:46:49,680 Speaker 1: problems fall back before you get your bow top spot 858 00:46:49,640 --> 00:46:52,919 Speaker 1: on five degrees with the openhand face smack. And then 859 00:46:52,960 --> 00:46:56,760 Speaker 1: so people started coming in to either defend Chris Hayes 860 00:46:56,880 --> 00:46:59,200 Speaker 1: or the egg marrow on to keep talking that ship 861 00:46:59,600 --> 00:47:03,719 Speaker 1: and then you know, some person said, someone said, I 862 00:47:03,760 --> 00:47:06,279 Speaker 1: literally Another person like they were just going, like yo, 863 00:47:06,360 --> 00:47:08,520 Speaker 1: keep going, keep going, said Tucker won't say ship back 864 00:47:08,760 --> 00:47:11,719 Speaker 1: neither he knows what tom it is. It's just entertainment. 865 00:47:11,719 --> 00:47:14,600 Speaker 1: Face as where they come at me with motherfucking lawyers, 866 00:47:14,640 --> 00:47:16,239 Speaker 1: like you come back with your uncle after you get 867 00:47:16,239 --> 00:47:19,880 Speaker 1: washed on the playground. Uh. And then someone then showed 868 00:47:20,280 --> 00:47:22,520 Speaker 1: merrill then posted a picture. Someone posted a picture of 869 00:47:22,520 --> 00:47:26,600 Speaker 1: young Tucker Carlson. It's an amazing picture. It's just like 870 00:47:27,800 --> 00:47:32,160 Speaker 1: he looks pretty boy, he looks like he he looks wonderful. Okay, 871 00:47:32,480 --> 00:47:34,640 Speaker 1: he looks like someone who is the definition of not 872 00:47:34,760 --> 00:47:37,680 Speaker 1: wanting smoke. Uh, and said this dude wants smoke. I 873 00:47:37,760 --> 00:47:39,719 Speaker 1: must be bugging. And then a bunch of cry laughing 874 00:47:39,760 --> 00:47:43,160 Speaker 1: emojis five year old will mock this little anthropomorphic baby 875 00:47:43,160 --> 00:47:47,360 Speaker 1: penis hythropomorphic baby penis. Then another person replies, he goes, no, 876 00:47:47,480 --> 00:47:50,000 Speaker 1: that's not that's an old pick. This is Tucker Carlson now, 877 00:47:50,360 --> 00:47:52,600 Speaker 1: and he goes, your man's looked like a scrub potato 878 00:47:52,680 --> 00:47:54,960 Speaker 1: with a wig on, and get the funk out of here. Anyway, 879 00:47:55,239 --> 00:47:57,480 Speaker 1: this goes on and on and on, and it was 880 00:47:57,520 --> 00:48:01,480 Speaker 1: just a great moment where uh you you know, the 881 00:48:01,520 --> 00:48:05,239 Speaker 1: Meryll really put up for somebody out there. So, you know, 882 00:48:05,280 --> 00:48:07,439 Speaker 1: I don't know how I missed this on the Twitter verse. 883 00:48:07,800 --> 00:48:10,040 Speaker 1: Yeah it was. It was kind of hilarious. At first. 884 00:48:10,040 --> 00:48:12,040 Speaker 1: I didn't realize what Tucker Carlson said. I just saw 885 00:48:12,160 --> 00:48:14,600 Speaker 1: this Merrow tweet and I was like, what the funk happened? 886 00:48:14,800 --> 00:48:17,360 Speaker 1: And then I was like, okay, yeah, look at you. 887 00:48:18,800 --> 00:48:21,640 Speaker 1: Well yeah, and also because AOC, you know, like Tucker 888 00:48:21,680 --> 00:48:24,560 Speaker 1: Carlson is just obsessed with her and again that's their 889 00:48:24,600 --> 00:48:27,279 Speaker 1: girl too, so he just likes to you know, I 890 00:48:27,360 --> 00:48:29,760 Speaker 1: think I think maybe Meryl has been he's been brewing, 891 00:48:30,160 --> 00:48:32,279 Speaker 1: been steaming for a little bit. Yeah. I like the 892 00:48:32,400 --> 00:48:35,399 Speaker 1: cap slack in the mog us and Merrow's tweets. Oh yeah, 893 00:48:35,440 --> 00:48:39,399 Speaker 1: he's he's a master of acro scream tweet and talking ship. 894 00:48:39,640 --> 00:48:44,359 Speaker 1: So where does Tucker Carlson shoot his racist with supremises show? 895 00:48:45,000 --> 00:48:46,839 Speaker 1: Is it in New York City? Think maybe in New 896 00:48:46,920 --> 00:48:49,920 Speaker 1: York because that's where Fox was headquartered. Yeah that I 897 00:48:49,960 --> 00:48:53,319 Speaker 1: mean he could, he could. I don't know, man if 898 00:48:53,360 --> 00:48:55,640 Speaker 1: if if Merrill even showed up, he'd be like, you see, 899 00:48:55,680 --> 00:48:58,840 Speaker 1: I need to call the police this guy. And someone 900 00:48:58,880 --> 00:49:01,400 Speaker 1: tweeted at Meryl. He's like, he's like Tucker Carlson right now, 901 00:49:01,400 --> 00:49:02,880 Speaker 1: trying to figure out how to call the police on 902 00:49:02,880 --> 00:49:09,720 Speaker 1: a tweet. Um, but a little bit of Catharsis because 903 00:49:09,760 --> 00:49:12,359 Speaker 1: you know you would. There's something so satisfying about hearing 904 00:49:12,400 --> 00:49:15,520 Speaker 1: the kid in Maryland just come at cut Tucker Carlson. 905 00:49:16,360 --> 00:49:20,000 Speaker 1: All Right, So the Joker movie dropped a trailer I 906 00:49:20,040 --> 00:49:26,480 Speaker 1: think yesterday, uh, two days ago, Joaquin Phoenix playing the Joker. Um, 907 00:49:26,520 --> 00:49:31,000 Speaker 1: it is it's dark man. It looks like the filmmaker 908 00:49:31,040 --> 00:49:34,719 Speaker 1: Todd Phillips was saying that it's like inspired by Taxi Driver, 909 00:49:34,800 --> 00:49:37,000 Speaker 1: And it looks like it's inspired by Phillips, the man 910 00:49:37,040 --> 00:49:39,920 Speaker 1: who directed Old School and Staring hutch Yeah, the the 911 00:49:40,239 --> 00:49:44,279 Speaker 1: tour behind Old School and starts skating Hutching. This is 912 00:49:44,320 --> 00:49:47,080 Speaker 1: like serious heavy Joker movie. Yeah. I was surprised by 913 00:49:47,120 --> 00:49:50,280 Speaker 1: the trailer. It looks like what it sort of feels 914 00:49:50,320 --> 00:49:53,480 Speaker 1: like what was the first Nolan Batman movie. Batman begins yeah, 915 00:49:53,480 --> 00:49:56,960 Speaker 1: Batman begins right, yeah, Okay, I'm but Batman begins kind 916 00:49:56,960 --> 00:49:58,799 Speaker 1: of ease you into it, like it's still had the 917 00:49:58,880 --> 00:50:01,560 Speaker 1: raza ghoul. I meant more like it was kind of 918 00:50:01,560 --> 00:50:04,439 Speaker 1: trying to take a real sort of look at how 919 00:50:04,480 --> 00:50:06,480 Speaker 1: someone ends up the way they do from like a 920 00:50:06,600 --> 00:50:10,600 Speaker 1: very like not sensational comic book way, but like he 921 00:50:10,640 --> 00:50:12,680 Speaker 1: looks like this guy who started off kind of like 922 00:50:12,719 --> 00:50:16,600 Speaker 1: a you know, loner type dude and slowly starting like 923 00:50:16,840 --> 00:50:20,959 Speaker 1: to break and then turns to evil. And I at first, 924 00:50:20,960 --> 00:50:23,720 Speaker 1: when I saw like the photos from the initial press photos, 925 00:50:23,760 --> 00:50:26,000 Speaker 1: I was like, do we need another like Jared Leto 926 00:50:26,040 --> 00:50:30,759 Speaker 1: already took the biggest el suicide, just overdoing it, like 927 00:50:30,800 --> 00:50:34,200 Speaker 1: going full Joker. I guess was just would be the 928 00:50:34,200 --> 00:50:37,239 Speaker 1: tropic from Big Gass Smiles and everything where he's like 929 00:50:37,680 --> 00:50:41,520 Speaker 1: Joaquin looks fucking creepy. He just looks I mean, he 930 00:50:41,640 --> 00:50:45,040 Speaker 1: just looks like Joaquin Phoenix basically like and then sometimes 931 00:50:45,040 --> 00:50:48,400 Speaker 1: he's wearing clown makeup, but like Joaquin Phoenix's performance and 932 00:50:48,440 --> 00:50:52,239 Speaker 1: the Master is like one of the most just deranged 933 00:50:52,719 --> 00:50:57,280 Speaker 1: performances ever put on film, Like he's just like so strange, 934 00:50:57,320 --> 00:50:58,839 Speaker 1: and I feel like there's a little bit of that 935 00:50:59,000 --> 00:51:01,160 Speaker 1: burning there and a bit a Heath Ledger as a 936 00:51:01,239 --> 00:51:06,080 Speaker 1: joker in there. And it's interesting because so one of 937 00:51:06,120 --> 00:51:11,560 Speaker 1: the contradictions about Batman is that he's a rich dude 938 00:51:11,880 --> 00:51:16,400 Speaker 1: in Gotham metaphor for New York. And in this movie 939 00:51:16,800 --> 00:51:19,480 Speaker 1: we don't see anything with regards to Batman, but we 940 00:51:19,560 --> 00:51:24,720 Speaker 1: do see that the background of this is Bruce Wayne's 941 00:51:24,760 --> 00:51:28,680 Speaker 1: father running for like some office, and he's like a 942 00:51:28,719 --> 00:51:35,600 Speaker 1: Tan Trump looking rich dude, like billionaire in Gotham, and 943 00:51:35,680 --> 00:51:37,880 Speaker 1: like he's sort of the I don't I don't know 944 00:51:37,920 --> 00:51:41,840 Speaker 1: if he's the antagonist, but he like lends some I 945 00:51:41,880 --> 00:51:47,560 Speaker 1: don't know, texture, some anti capitalist texture and corruption to uh, 946 00:51:47,680 --> 00:51:49,680 Speaker 1: to this world, because I mean, I don't know. If 947 00:51:49,719 --> 00:51:53,359 Speaker 1: they're trying to make the Joker an anti hero for 948 00:51:53,440 --> 00:51:56,200 Speaker 1: then I think we might be rooting for, you know, 949 00:51:56,480 --> 00:51:59,880 Speaker 1: Travis Bickle in this one. The Joker. I mean I 950 00:52:00,120 --> 00:52:01,960 Speaker 1: was because in the trailer you see him kind of 951 00:52:01,960 --> 00:52:04,240 Speaker 1: get fucked with, like society sort of pushing him around. 952 00:52:04,239 --> 00:52:06,239 Speaker 1: You're kind of like, yeah, come on, fucking Joe, get 953 00:52:06,239 --> 00:52:11,520 Speaker 1: yours beat up by some no good teens. Yeah, some 954 00:52:11,640 --> 00:52:15,040 Speaker 1: dude drunk dudes on the train, some Wall Street drunk dudes. Yeah. 955 00:52:16,160 --> 00:52:18,160 Speaker 1: I don't know. Yeah, it could be it could be 956 00:52:18,200 --> 00:52:22,320 Speaker 1: an interest. How did it? What's the deal with Trump? Though? So? Uh, 957 00:52:22,440 --> 00:52:25,000 Speaker 1: Trump has been kind of obsessed with Batman, Like you 958 00:52:25,000 --> 00:52:27,760 Speaker 1: can tell he's a fan, just gone back through his tweets. 959 00:52:28,160 --> 00:52:31,040 Speaker 1: Christian bill turned down fifty million to return his Batman. 960 00:52:31,120 --> 00:52:34,680 Speaker 1: We should have his head examined. What was he thinking? Uh? 961 00:52:34,719 --> 00:52:39,120 Speaker 1: And so apparently he's agent one of the city had 962 00:52:39,239 --> 00:52:41,040 Speaker 1: that well, you know how he is with like uh, 963 00:52:41,400 --> 00:52:44,040 Speaker 1: like his That's the crazy thing about this is like 964 00:52:44,440 --> 00:52:47,480 Speaker 1: five ten years ago Trump's Twitter was him just giving 965 00:52:47,480 --> 00:52:53,160 Speaker 1: advice to celebrities like yeah, Robert Patterson, like, don't go 966 00:52:53,280 --> 00:52:56,799 Speaker 1: back to her, she's cheating. Had a bunch of Katy 967 00:52:56,840 --> 00:53:00,200 Speaker 1: Perry tweets too. Yeah. Yeah, so this was bad him 968 00:53:00,239 --> 00:53:04,120 Speaker 1: those days. Uh. And Christian Bale, so apparently they shot 969 00:53:04,160 --> 00:53:11,120 Speaker 1: some of the Nolan Batman trilogy in Trump Tower and yeah, 970 00:53:11,239 --> 00:53:15,400 Speaker 1: and so there's this quote from Christian Bale where he says, 971 00:53:16,080 --> 00:53:18,799 Speaker 1: we're filming on Batman and Trump Tower and he said, 972 00:53:18,840 --> 00:53:21,000 Speaker 1: come up to the office. I think he thought I 973 00:53:21,080 --> 00:53:23,480 Speaker 1: was Bruce Wayne because I was dressed as Bruce Wayne. 974 00:53:23,719 --> 00:53:26,200 Speaker 1: So he talked to me like I was Bruce Wayne, 975 00:53:26,680 --> 00:53:28,920 Speaker 1: and I just went along with it. Really, it was 976 00:53:29,000 --> 00:53:31,719 Speaker 1: quite entertaining. I had no idea at the time he 977 00:53:31,719 --> 00:53:34,080 Speaker 1: would think about running for president. What do you mean 978 00:53:34,080 --> 00:53:36,160 Speaker 1: he talked to him like he thought it was Bruce Wayne. 979 00:53:36,160 --> 00:53:40,040 Speaker 1: He's like, Bruce, great to have you here, Like because 980 00:53:40,120 --> 00:53:43,279 Speaker 1: pretend world is real world for Trump. Yeah, no, he 981 00:53:43,360 --> 00:53:51,000 Speaker 1: doesn't know. Oh my god, Christian Bale. Yeah, but he 982 00:53:51,080 --> 00:53:55,799 Speaker 1: just goes unit texed though. Definitely Batman. Yeah, I want 983 00:53:55,800 --> 00:53:57,440 Speaker 1: to tell you a real tragedy when your parents were 984 00:53:57,440 --> 00:54:00,839 Speaker 1: gonna down after watching Space Jam. Isn't that like dead 985 00:54:00,880 --> 00:54:05,160 Speaker 1: pant Like yeah, and people like even behind the scenes 986 00:54:05,200 --> 00:54:08,000 Speaker 1: of SNL have said like he doesn't seem to have 987 00:54:08,040 --> 00:54:15,640 Speaker 1: a full grasp on like what is real and what's pretend? No, no, whatever, Yeah, 988 00:54:15,760 --> 00:54:17,640 Speaker 1: and then I mean people have also pointed to the 989 00:54:17,640 --> 00:54:21,279 Speaker 1: fact that his inauguration speech seemed to be at least 990 00:54:21,320 --> 00:54:26,520 Speaker 1: partially plagiarized from Bain speeches and Dark Knight Rising, you know, 991 00:54:26,920 --> 00:54:31,520 Speaker 1: talking about like taking we are transferring power from Washington, 992 00:54:31,600 --> 00:54:34,000 Speaker 1: d C. And giving it back to you the people, 993 00:54:34,120 --> 00:54:37,640 Speaker 1: which I mean that's pre standard like populism rhetoric, but 994 00:54:38,000 --> 00:54:41,640 Speaker 1: it's like very spot on, like Bin Bain style. Ship. 995 00:54:42,000 --> 00:54:45,359 Speaker 1: What was the Bain quote? His quote was, we take 996 00:54:45,600 --> 00:54:48,239 Speaker 1: Gotham from the corrupt, and we give it back to you, 997 00:54:48,360 --> 00:54:52,000 Speaker 1: the people. So I mean it's it's the same let's 998 00:54:52,040 --> 00:54:54,680 Speaker 1: throw Gotham in there. And because you imagine at this speech, 999 00:54:54,719 --> 00:54:57,239 Speaker 1: he's like and to the people, have got to you, 1000 00:54:57,440 --> 00:55:03,319 Speaker 1: the people of America. Wait, sorry, go back lifting Uh 1001 00:55:04,160 --> 00:55:08,239 Speaker 1: there there's also he weighed in when Ben Affleck was 1002 00:55:09,719 --> 00:55:12,960 Speaker 1: picked to be the next Batman. Uh. Trump came in 1003 00:55:13,120 --> 00:55:17,280 Speaker 1: with the prescient take, everyone should calm down, Ben Affleck 1004 00:55:17,400 --> 00:55:20,319 Speaker 1: is going to do a great job as Batman. Yeah, 1005 00:55:20,360 --> 00:55:23,319 Speaker 1: he got two movies out there and then dropped out. 1006 00:55:23,400 --> 00:55:27,080 Speaker 1: But uh uh huh. And then at one point there's 1007 00:55:27,080 --> 00:55:32,719 Speaker 1: a story, an anecdote from his background where uh he 1008 00:55:32,760 --> 00:55:36,080 Speaker 1: gave these children In two thousand fifteen, Trump gave helicopter 1009 00:55:36,160 --> 00:55:39,799 Speaker 1: rides to small children and told one of them that 1010 00:55:39,840 --> 00:55:45,319 Speaker 1: he was Batman. So he was. He's he was like 1011 00:55:45,640 --> 00:55:49,080 Speaker 1: talking to the press, this is like you know, standard 1012 00:55:49,120 --> 00:55:51,200 Speaker 1: Trump ship. He said, we have quite a few children 1013 00:55:51,280 --> 00:55:54,640 Speaker 1: going to take rides today. Where the children get them 1014 00:55:54,640 --> 00:55:59,040 Speaker 1: over here. It's just like already yelling like their props. 1015 00:55:59,080 --> 00:56:02,719 Speaker 1: So into the helicopter. Ago William nine, Shawn six, Brendan five, 1016 00:56:02,800 --> 00:56:06,879 Speaker 1: and Henry who just turned three. Uh, and their mother 1017 00:56:06,920 --> 00:56:10,279 Speaker 1: went with him. Uh. Then Mr Trump. One of the 1018 00:56:10,320 --> 00:56:14,120 Speaker 1: kids said, Mr Trump, and Trump said yes, he said, 1019 00:56:14,520 --> 00:56:19,000 Speaker 1: are you Batman? Trump said, I am Batman. Oh that 1020 00:56:19,080 --> 00:56:21,640 Speaker 1: doesn't feel as the kid asked him. I thought he 1021 00:56:21,680 --> 00:56:23,759 Speaker 1: was just gonna be like you, like the helicopter, I'm 1022 00:56:23,800 --> 00:56:29,080 Speaker 1: badman Batman. Okay, yeah, it's not as bad as it seems. 1023 00:56:29,080 --> 00:56:32,920 Speaker 1: The first we should give him the benefit of the 1024 00:56:32,920 --> 00:56:35,839 Speaker 1: benefit of the doubt that he knew Christian Bale wasn't 1025 00:56:35,880 --> 00:56:38,919 Speaker 1: fucking Bruce Wayne. He might think he's Batman though a point. 1026 00:56:39,800 --> 00:56:42,560 Speaker 1: I mean it kind of makes sense though, because Batman 1027 00:56:43,160 --> 00:56:47,360 Speaker 1: comes from a wealthy background, right, So Trump's like, I'm wealthy. 1028 00:56:47,480 --> 00:56:50,239 Speaker 1: Of all the superheroes out there, I mean, he is 1029 00:56:50,280 --> 00:56:54,000 Speaker 1: the one, right, he inherited a lot of his his wealth. 1030 00:56:55,200 --> 00:56:57,400 Speaker 1: He's more. I mean, if when you look at he's afraid, 1031 00:56:57,400 --> 00:56:59,839 Speaker 1: it has a big fear. He stairs. You look at 1032 00:56:59,840 --> 00:57:03,080 Speaker 1: his parents though, he's more the one born in Germany 1033 00:57:03,120 --> 00:57:06,040 Speaker 1: or the one in the maor yeah, he's lying about 1034 00:57:06,080 --> 00:57:07,759 Speaker 1: that way. He was born in New York, right and 1035 00:57:07,800 --> 00:57:09,919 Speaker 1: his dad, but he said he was born in Germany 1036 00:57:09,960 --> 00:57:14,200 Speaker 1: because he wants that like Nazi kred or he just 1037 00:57:14,239 --> 00:57:17,920 Speaker 1: wants to be like an immigrant story. I don't know, 1038 00:57:18,120 --> 00:57:21,439 Speaker 1: but um, when you look at a picture of them, 1039 00:57:21,480 --> 00:57:26,800 Speaker 1: they actually look like characters from a Tim Burton like legit, 1040 00:57:27,640 --> 00:57:31,160 Speaker 1: his mom. His mom is wild looking, looks like she 1041 00:57:31,160 --> 00:57:33,560 Speaker 1: would have been in Mars attacks. Yeah, and I mean 1042 00:57:33,600 --> 00:57:37,480 Speaker 1: there's been like the Batman returns storyline where I think 1043 00:57:37,480 --> 00:57:41,280 Speaker 1: that was the pe. Second, yeah, the Penguin where like 1044 00:57:41,440 --> 00:57:45,920 Speaker 1: a rich New York real estate mogul gets the penguin 1045 00:57:46,000 --> 00:57:48,480 Speaker 1: to like run for mayor so he can manipulate him. Like, 1046 00:57:48,760 --> 00:57:52,520 Speaker 1: there's been some Trump overtones like Trump basically could be 1047 00:57:52,640 --> 00:57:54,680 Speaker 1: a Batman. Care this whole thing is just his life 1048 00:57:54,720 --> 00:57:58,640 Speaker 1: is a trope, right, Yeah, yeah, his life is. It's 1049 00:57:58,640 --> 00:58:01,120 Speaker 1: funny when you watch these old movies, how many of them. 1050 00:58:01,160 --> 00:58:04,919 Speaker 1: Trump actually plays cameos in the Home Alone movie where 1051 00:58:04,960 --> 00:58:09,960 Speaker 1: he's a yeah, oh right, because doesn't he run into 1052 00:58:10,000 --> 00:58:11,680 Speaker 1: him in like the lobby of the Plaza hotel or 1053 00:58:11,680 --> 00:58:18,840 Speaker 1: something like that. Layers and layers, layers and layers of makeup. 1054 00:58:19,040 --> 00:58:20,400 Speaker 1: I mean when you look at his I am he 1055 00:58:20,480 --> 00:58:25,480 Speaker 1: was in The Little Rascals. Oh yeah, dude. He was 1056 00:58:25,520 --> 00:58:27,880 Speaker 1: on in Eddie of course, because any fucking movie to 1057 00:58:28,040 --> 00:58:30,520 Speaker 1: do it. Damn Whoopie Goldberg has been in two motherfucking 1058 00:58:30,560 --> 00:58:34,320 Speaker 1: movies with Donald Trump, Eddie and the Associate. He's in 1059 00:58:34,360 --> 00:58:38,920 Speaker 1: fifty four. He was in Zoolander two weeks notice Wall Street. Well, 1060 00:58:38,920 --> 00:58:41,840 Speaker 1: no wonder he thinks movies are real then, because he's like, 1061 00:58:42,120 --> 00:58:45,120 Speaker 1: he's just in them, playing himself, so he thinks that's 1062 00:58:45,160 --> 00:58:49,160 Speaker 1: true of everyone else. Yeah, and we have some breaking 1063 00:58:49,200 --> 00:58:53,560 Speaker 1: news that Hanzy Joe has broken his silence and basically 1064 00:58:53,800 --> 00:58:56,720 Speaker 1: did said the thing that we said on yesterday's episode 1065 00:58:57,040 --> 00:58:59,200 Speaker 1: he should have said, and this is no longer breaking 1066 00:58:59,200 --> 00:59:00,760 Speaker 1: news by the time he listened to this, but he 1067 00:59:00,840 --> 00:59:05,200 Speaker 1: was basically like, I have learned from my mistakes and 1068 00:59:05,240 --> 00:59:08,960 Speaker 1: from the changing conversation around this. I'm sure he sucked 1069 00:59:08,960 --> 00:59:11,000 Speaker 1: it up in some way, but he has at least 1070 00:59:11,040 --> 00:59:13,720 Speaker 1: addressed it well. The text of the video that he 1071 00:59:13,760 --> 00:59:17,040 Speaker 1: posted it tweeted a video out doesn't have any apologies 1072 00:59:17,040 --> 00:59:19,920 Speaker 1: in it. It's more like social norms are changing. I 1073 00:59:20,000 --> 00:59:22,920 Speaker 1: understand that I've heard what these women are saying. Politics 1074 00:59:22,960 --> 00:59:26,640 Speaker 1: to me, I'm sorry part politics he's now because now 1075 00:59:26,680 --> 00:59:29,600 Speaker 1: he's just defending it. Politics to me has always been 1076 00:59:29,600 --> 00:59:32,080 Speaker 1: about making connections. But I will be more mindful about 1077 00:59:32,080 --> 00:59:35,560 Speaker 1: respecting personal space in the future. That's my responsibility and 1078 00:59:35,600 --> 00:59:38,600 Speaker 1: I will meet it from my forehead to other people's 1079 00:59:38,640 --> 00:59:44,840 Speaker 1: forehead physically, nose to nose knows. Uh yeah, but I'm 1080 00:59:44,840 --> 00:59:46,720 Speaker 1: sure the video my I mean, there's a two minute video, 1081 00:59:46,800 --> 00:59:49,560 Speaker 1: so I'll give it the dignity of listening to it first. 1082 00:59:49,640 --> 00:59:53,840 Speaker 1: But either way, Joe don't need you. Yeah, you're good, ma'am. 1083 00:59:53,960 --> 00:59:56,400 Speaker 1: Just retire, baby, you know what I mean. Fall back? 1084 00:59:57,200 --> 01:00:01,200 Speaker 1: Uh well, Tas, it has been a pleasure having you. Well, 1085 01:00:01,240 --> 01:00:03,400 Speaker 1: thanks for having me back on the day. I guess 1086 01:00:03,800 --> 01:00:08,800 Speaker 1: where can people find you at? Tazzi Star, Instagram and 1087 01:00:08,840 --> 01:00:13,480 Speaker 1: Facebook all the things Tassi Star. Yeah, and you've got 1088 01:00:13,480 --> 01:00:16,600 Speaker 1: a podcast. I have a podcast, Good Muslim, Bad Muslim 1089 01:00:17,160 --> 01:00:20,360 Speaker 1: listen to Wherever you're listening to this, we are there. Yeah. 1090 01:00:20,440 --> 01:00:24,120 Speaker 1: And do you have any live coming on? I do 1091 01:00:24,240 --> 01:00:26,800 Speaker 1: have live ship coming up. If you're in Toronto, come 1092 01:00:26,920 --> 01:00:28,960 Speaker 1: check us out at the Aga Khan Museum. We know 1093 01:00:29,040 --> 01:00:32,840 Speaker 1: the Toronto's like Gang out there. We'll be uh doing 1094 01:00:32,840 --> 01:00:35,360 Speaker 1: a live show in April, and then my co hosts 1095 01:00:35,360 --> 01:00:37,760 Speaker 1: are Norbach is going to be doing comedy stand up 1096 01:00:37,800 --> 01:00:40,840 Speaker 1: at the Agacan Museum on the Friday and Sunday around 1097 01:00:40,840 --> 01:00:45,160 Speaker 1: those shows. It's gonna be fun hell awesome. And is 1098 01:00:45,200 --> 01:00:47,959 Speaker 1: there a tweet you've been enjoying? There is? Um, there's 1099 01:00:48,000 --> 01:00:54,960 Speaker 1: a lot of talking about Nemesis. Is nemessisi on the tweets? 1100 01:00:55,120 --> 01:00:58,240 Speaker 1: And uh, I mean not to who also has podcasts, 1101 01:00:58,240 --> 01:01:00,440 Speaker 1: I mean not too sou from Call Your Girlfriend podcast 1102 01:01:01,360 --> 01:01:04,200 Speaker 1: had one tweet which I thought was funny. She said, 1103 01:01:04,200 --> 01:01:06,960 Speaker 1: the reason your Nemesis is thriving is because she submitted 1104 01:01:06,960 --> 01:01:09,880 Speaker 1: her book proposal, wrote that script met her deadline. The 1105 01:01:09,880 --> 01:01:13,800 Speaker 1: therapy appointment made plans with friends. Is doing literally anything 1106 01:01:13,840 --> 01:01:19,120 Speaker 1: more productive than being on Twitter displaying unhealthy emotions? Damn, 1107 01:01:20,960 --> 01:01:23,400 Speaker 1: that just made me feel worse. I need that Michael 1108 01:01:23,400 --> 01:01:28,960 Speaker 1: Phelps app now that that talk whatever, that therapy app 1109 01:01:29,000 --> 01:01:33,320 Speaker 1: he's talking? Alright? That joked in all right, I'm not 1110 01:01:33,360 --> 01:01:37,360 Speaker 1: familiar with the reference, Miles. Where can people find you 1111 01:01:38,240 --> 01:01:41,680 Speaker 1: following Michael Phelps. I'm just you know, I'm Michael Phelps, 1112 01:01:41,680 --> 01:01:44,800 Speaker 1: bond guy. But yeah, you can follow me on Twitter 1113 01:01:44,920 --> 01:01:48,680 Speaker 1: and Instagram. At Miles of Gray tweet, I like, oh, 1114 01:01:48,720 --> 01:01:51,880 Speaker 1: shout out to the zeitgang David at y Are Zero, 1115 01:01:52,840 --> 01:01:55,560 Speaker 1: who's out here doing the legit mosquito research, and was like, 1116 01:01:55,760 --> 01:01:58,640 Speaker 1: the scrilics thing is real, So shout out to you, 1117 01:01:58,720 --> 01:02:01,600 Speaker 1: my man in the lab. Yeah this, uh this listener 1118 01:02:01,680 --> 01:02:06,320 Speaker 1: David does research with mosquitoes, especially around like mosquito born illnesses. 1119 01:02:06,320 --> 01:02:09,000 Speaker 1: So I'm glad that we have people doing the good work, 1120 01:02:09,400 --> 01:02:12,840 Speaker 1: uh in the listening community. A couple of treets I like, 1121 01:02:12,920 --> 01:02:15,480 Speaker 1: one is from at Paris Hilton's dad and it's a 1122 01:02:15,560 --> 01:02:19,080 Speaker 1: this is a scene from Shark take me ridiculously wide 1123 01:02:19,120 --> 01:02:24,080 Speaker 1: sunglasses Shark one, I'm out Shark two, I'm out hammer 1124 01:02:24,080 --> 01:02:28,680 Speaker 1: head Shark. I'm listening, stupid dad joke. And another one 1125 01:02:28,800 --> 01:02:31,760 Speaker 1: is from Liz Hackett At Liz Hackett, a Poshua woman 1126 01:02:31,800 --> 01:02:33,360 Speaker 1: asked where I got my boots and I didn't want 1127 01:02:33,400 --> 01:02:35,080 Speaker 1: to say t J Max, so I told her I 1128 01:02:35,080 --> 01:02:38,960 Speaker 1: won them in a bar fight. Don't don't be mad, 1129 01:02:39,040 --> 01:02:41,600 Speaker 1: You've got to deal at TJ Max though, But also 1130 01:02:41,680 --> 01:02:44,200 Speaker 1: kind of like, if if this did actually happen, if 1131 01:02:44,200 --> 01:02:46,120 Speaker 1: you ask someone worried they got something to like in 1132 01:02:46,160 --> 01:02:48,960 Speaker 1: a bar fight. I love that I'm always the first 1133 01:02:48,960 --> 01:02:51,120 Speaker 1: one to definitely get off somebody. I'm always the first 1134 01:02:51,120 --> 01:02:52,400 Speaker 1: one to jump in and say, like, oh, I got 1135 01:02:52,440 --> 01:02:55,400 Speaker 1: it for like x X price because it's always a bargain. 1136 01:02:55,480 --> 01:02:58,000 Speaker 1: But bar fight, I'm going to barfight. But I thought 1137 01:02:58,000 --> 01:02:59,800 Speaker 1: you're just gonna say. I'm always the first one to 1138 01:03:00,040 --> 01:03:03,960 Speaker 1: up into a bar fight, but usually the first one 1139 01:03:04,000 --> 01:03:06,000 Speaker 1: in the barfight if someone's knocked out. I steal issues 1140 01:03:06,720 --> 01:03:10,920 Speaker 1: coming from across taking your jacket off because I grew 1141 01:03:11,000 --> 01:03:12,800 Speaker 1: up in the house where my mom she just lived 1142 01:03:12,840 --> 01:03:15,480 Speaker 1: for the deal, so I think the same way. Right. 1143 01:03:15,520 --> 01:03:18,439 Speaker 1: You know, immigrant moms, they love the fucking the mark 1144 01:03:18,560 --> 01:03:20,520 Speaker 1: down you always have even when you're not being asked 1145 01:03:20,520 --> 01:03:22,080 Speaker 1: about the price, Like do you want to know how 1146 01:03:22,160 --> 01:03:25,800 Speaker 1: much I got this shirt? I got it for nineteen 1147 01:03:26,800 --> 01:03:31,360 Speaker 1: Shout out to Loman's. That's what she would fight there, 1148 01:03:31,400 --> 01:03:34,560 Speaker 1: you go far fight it up alright, a couple tweets 1149 01:03:34,600 --> 01:03:38,520 Speaker 1: I've been enjoying, uh, speaking of dead joke. By the way, 1150 01:03:38,560 --> 01:03:42,600 Speaker 1: I loved Marrow's reference. He said, Tugget Carlson softer than 1151 01:03:42,920 --> 01:03:47,240 Speaker 1: a morning diaper, which is specifically for anybody who is 1152 01:03:47,440 --> 01:03:51,600 Speaker 1: like literal dead joke. Why because they're saggy, like they 1153 01:03:52,160 --> 01:03:54,800 Speaker 1: kids pissing in the mom night, and so they just 1154 01:03:54,880 --> 01:03:57,680 Speaker 1: get they're like ready on the brink of falling apart. 1155 01:03:57,880 --> 01:04:05,120 Speaker 1: Like oh, was like why yeah, But it's like in 1156 01:04:05,160 --> 01:04:09,480 Speaker 1: my mind, I'm like, I feel like a baby wets themselves, 1157 01:04:09,600 --> 01:04:12,320 Speaker 1: shift themselves, they start crying, and that would induce a 1158 01:04:12,320 --> 01:04:17,400 Speaker 1: diaper changing. You know. Hell no, man, yeah see that good, 1159 01:04:17,480 --> 01:04:19,200 Speaker 1: good thing. You know. Now I'll be like, no, no, 1160 01:04:19,240 --> 01:04:23,720 Speaker 1: that's good. Baby, get soft. There's a thing called sleep 1161 01:04:23,800 --> 01:04:28,080 Speaker 1: training where it's just like letting your kid cry. People 1162 01:04:28,600 --> 01:04:32,120 Speaker 1: we're talking no, you have to basically teach them that 1163 01:04:32,200 --> 01:04:36,880 Speaker 1: you're not coming every time they spie. But it's like, wait, 1164 01:04:36,920 --> 01:04:39,880 Speaker 1: so training is me just like sleeping while they cry. 1165 01:04:40,000 --> 01:04:43,200 Speaker 1: That's like that doesn't seem like a very active, like 1166 01:04:43,320 --> 01:04:45,840 Speaker 1: fun thing for them. Uh. That sounds like something a 1167 01:04:45,920 --> 01:04:47,760 Speaker 1: page out of my child wearing book. It's like, yo, 1168 01:04:48,000 --> 01:04:49,920 Speaker 1: I don't don't let the kid bother you. Man. Also 1169 01:04:50,840 --> 01:04:54,480 Speaker 1: on the Koke Brothers tip Crystal Deal or also please 1170 01:04:55,400 --> 01:04:57,840 Speaker 1: if you hear Crystal Deal or an ads on our 1171 01:04:57,920 --> 01:05:00,280 Speaker 1: on our side, we we do not endorse that ship either. 1172 01:05:01,040 --> 01:05:02,840 Speaker 1: Every time I use the crystal dealer. I remember my 1173 01:05:02,920 --> 01:05:05,160 Speaker 1: dad like in the early nineties when that ship first 1174 01:05:05,160 --> 01:05:07,440 Speaker 1: came out, he was like, I'm using these crystals and 1175 01:05:07,480 --> 01:05:09,280 Speaker 1: then that was like the first dealer in my house, 1176 01:05:09,680 --> 01:05:12,640 Speaker 1: but as artsy and smelly, and then I would use 1177 01:05:12,680 --> 01:05:15,000 Speaker 1: it when puberty hit, man, I stuck like ship, Yeah, 1178 01:05:16,120 --> 01:05:20,120 Speaker 1: just just rubbing something. Sorry about these weird ads. We're 1179 01:05:20,160 --> 01:05:24,160 Speaker 1: dealing with it because after joining a very big in 1180 01:05:24,200 --> 01:05:28,440 Speaker 1: two minutes, yeah, two rip heads off. So yeah, alright, 1181 01:05:28,480 --> 01:05:31,920 Speaker 1: so tweets I've been enjoying at Sharpling tweeted, someday a 1182 01:05:31,960 --> 01:05:34,479 Speaker 1: baby's first words will be please take this Ramone shirt 1183 01:05:34,520 --> 01:05:36,400 Speaker 1: off me. I don't like their music and the shirt 1184 01:05:36,400 --> 01:05:40,720 Speaker 1: and figs that I'm a fan. Tim Barnes tweeted annually, 1185 01:05:40,760 --> 01:05:42,800 Speaker 1: I have vivid flashbacks of the time I had to 1186 01:05:42,800 --> 01:05:45,800 Speaker 1: break up a blow job during an afternoon screening of 1187 01:05:45,960 --> 01:05:49,080 Speaker 1: Legend of the Guardians The Owls of Gohul at a 1188 01:05:49,120 --> 01:05:55,560 Speaker 1: movie theater I worked in Riverside, California. Damn. Yeah, you 1189 01:05:55,600 --> 01:06:02,640 Speaker 1: know how that goes? Suicide homicide, genocide river Side. Yeah. 1190 01:06:02,680 --> 01:06:04,600 Speaker 1: You can find me on Twitter at jack under score Up. Brian. 1191 01:06:04,640 --> 01:06:06,560 Speaker 1: You can find us on Twitter at daily Zy guys 1192 01:06:06,560 --> 01:06:08,520 Speaker 1: for at the Daily zat guys on Instagram. We have 1193 01:06:08,520 --> 01:06:11,480 Speaker 1: a Facebook fan page and a website Daily zuys dot com. 1194 01:06:11,480 --> 01:06:14,800 Speaker 1: We post our episodes and our foot We link off 1195 01:06:14,800 --> 01:06:16,840 Speaker 1: to the information that we've talked about in today's episode, 1196 01:06:17,000 --> 01:06:19,200 Speaker 1: as well as the song we ride out on. What's 1197 01:06:19,240 --> 01:06:21,520 Speaker 1: that going to be doing? This one is called Flowers 1198 01:06:21,600 --> 01:06:24,120 Speaker 1: since we're talking with that super saloon and just you know, 1199 01:06:24,200 --> 01:06:25,800 Speaker 1: I just gotta you know, look, I know there's a 1200 01:06:25,800 --> 01:06:27,360 Speaker 1: lot going on the world, but we gotta focus on 1201 01:06:27,400 --> 01:06:29,560 Speaker 1: the good and keep perpetuating the good. It's spreading the 1202 01:06:29,600 --> 01:06:33,080 Speaker 1: good and we will overcoming. This is what I believe. 1203 01:06:33,200 --> 01:06:34,960 Speaker 1: That's what I have to tell myself to wake up 1204 01:06:34,960 --> 01:06:37,320 Speaker 1: every day and it's been working. So this is from 1205 01:06:37,400 --> 01:06:42,600 Speaker 1: Sampa the Great. Oh and uh yeah, hell yeah, I've 1206 01:06:42,600 --> 01:06:45,640 Speaker 1: heard of this musician. Well yeah, I think it's on 1207 01:06:45,640 --> 01:06:49,200 Speaker 1: your playlist, man, So yeah, this Sampa the Great. Uh 1208 01:06:49,240 --> 01:06:53,200 Speaker 1: please enjoy Flowers, Please enjoy listen back for we haven't 1209 01:06:53,240 --> 01:06:56,720 Speaker 1: heard of one of out musical read there you go, alright, guys, 1210 01:06:56,800 --> 01:06:58,600 Speaker 1: we are going to ride out on that. We will 1211 01:06:58,640 --> 01:07:01,080 Speaker 1: be back tomorrow because it's in the Daily Podcast. Who 1212 01:07:00,960 --> 01:07:07,360 Speaker 1: are you that right? My net by times ten rins 1213 01:07:07,440 --> 01:07:11,360 Speaker 1: and ruby, shuck it up again, breath, Yes, I do 1214 01:07:11,520 --> 01:07:16,800 Speaker 1: pretend same. Sweet, my dagger in my hand, Sweet, I 1215 01:07:16,920 --> 01:07:20,560 Speaker 1: need to seeking my guest cat out guest k the 1216 01:07:21,000 --> 01:07:28,720 Speaker 1: outguest cated malady v. Sweet singers almost always Fred cree 1217 01:07:31,240 --> 01:07:37,920 Speaker 1: cree we ow