1 00:00:00,160 --> 00:00:03,080 Speaker 1: Hello the Internet, and welcome to season twenty eight, Episode 2 00:00:03,080 --> 00:00:08,160 Speaker 1: three of Danny Daily Zeitgeist for April two thousand eight. Team, 3 00:00:08,160 --> 00:00:11,119 Speaker 1: my name is Jack O'Brien a k. It's the state 4 00:00:11,240 --> 00:00:14,440 Speaker 1: that's untouchable, Like Elliott Nest. The Jack hits your ear 5 00:00:14,560 --> 00:00:19,120 Speaker 1: drum like a slug to your chest. Courtesy of Ozmodiar 6 00:00:19,640 --> 00:00:21,640 Speaker 1: Hack a Jack for you, Jimmy in the City and 7 00:00:21,760 --> 00:00:25,560 Speaker 1: Sex Chap. You got it, uh, And I'm thrilled to 8 00:00:25,560 --> 00:00:29,680 Speaker 1: be joined as always by my co host, Mr Miles Gray. 9 00:00:29,720 --> 00:00:33,040 Speaker 1: I remember when I remember, I remember when I lost 10 00:00:33,120 --> 00:00:38,200 Speaker 1: my mile. There was something so pleasant about that Gray. 11 00:00:38,640 --> 00:00:45,760 Speaker 1: This that MOUs me Gray? Does that me grace does 12 00:00:45,840 --> 00:00:54,800 Speaker 1: that MOUs me graz it? Oh? So be major chord 13 00:00:55,560 --> 00:00:58,800 Speaker 1: is what would go there? Now? Thank you to Jakotah 14 00:00:58,800 --> 00:01:01,200 Speaker 1: Dones ak a duck to Jones on Twitter for that one, 15 00:01:01,240 --> 00:01:03,959 Speaker 1: because you know, I like to fucking sing and I'm 16 00:01:03,960 --> 00:01:06,040 Speaker 1: going to stop just doing one word a k is. 17 00:01:06,200 --> 00:01:08,679 Speaker 1: I just need verses to sing because I'm a repressed singer. 18 00:01:08,920 --> 00:01:11,480 Speaker 1: So thank you for that. Oh man, that was that was? 19 00:01:11,840 --> 00:01:13,920 Speaker 1: And also I noticed how none of y'all sucking applauded, 20 00:01:14,200 --> 00:01:19,120 Speaker 1: so I think it was too long like if there 21 00:01:19,120 --> 00:01:21,480 Speaker 1: would have been a moment, but I was like, I'll applaud, 22 00:01:21,560 --> 00:01:24,320 Speaker 1: but not now. Now it's fair play to you, because 23 00:01:24,319 --> 00:01:26,000 Speaker 1: when I was rehearsing this before we got in here, 24 00:01:26,120 --> 00:01:29,720 Speaker 1: you were like, so, yeah, I should have listened. Okay, 25 00:01:29,920 --> 00:01:32,319 Speaker 1: we're a throw the beat joined inner third. You've already 26 00:01:32,319 --> 00:01:38,000 Speaker 1: heard from her, the hilarious comedian Megan Gaily up. Were 27 00:01:38,040 --> 00:01:40,560 Speaker 1: you married the last time I was here, I've been 28 00:01:41,640 --> 00:01:44,600 Speaker 1: You've been married to ten years? My god. I was like, 29 00:01:44,640 --> 00:01:46,560 Speaker 1: because you have a ring, but it's on you. It's 30 00:01:46,680 --> 00:01:48,640 Speaker 1: my pinkie and it's brass and it turns my finger. 31 00:01:48,920 --> 00:01:50,280 Speaker 1: So then I was like, am I a part of 32 00:01:50,320 --> 00:01:52,880 Speaker 1: some sort of optical illusion where all these men are 33 00:01:52,920 --> 00:01:55,720 Speaker 1: wearing rings to like shame me? But that's like a 34 00:01:55,800 --> 00:01:59,080 Speaker 1: real wedding bing. That's a dad band. That is a 35 00:01:59,160 --> 00:02:01,760 Speaker 1: dad band. And you can tell I've got like the 36 00:02:02,080 --> 00:02:06,120 Speaker 1: line under it, like my fingers like all white and 37 00:02:06,240 --> 00:02:11,240 Speaker 1: like withered. That's what we want. Yeah, when you take 38 00:02:11,280 --> 00:02:14,160 Speaker 1: it off, that's how you know. Before I get into 39 00:02:14,200 --> 00:02:16,720 Speaker 1: the house, my wife makes me show her that. Let 40 00:02:16,760 --> 00:02:18,640 Speaker 1: me see it, let me see good, see your white 41 00:02:18,639 --> 00:02:24,600 Speaker 1: withered finger? All right? Good? Our love remains intact years. Um, yeah, 42 00:02:24,680 --> 00:02:29,080 Speaker 1: it's insane. We got married, young Megan. What is something 43 00:02:29,120 --> 00:02:31,760 Speaker 1: from your search history that is revealing about who you are? 44 00:02:32,040 --> 00:02:34,720 Speaker 1: You know? I was really chorn on this because the 45 00:02:34,800 --> 00:02:37,280 Speaker 1: last time I did the show, I mentioned a product 46 00:02:37,520 --> 00:02:39,400 Speaker 1: that I had been searching and then they sent me 47 00:02:39,520 --> 00:02:46,440 Speaker 1: all of this trolley. You are incredible, Like I was 48 00:02:46,480 --> 00:02:48,280 Speaker 1: just like, oh wow, I think Trulley thinks I'm more 49 00:02:48,320 --> 00:02:50,600 Speaker 1: important than I am. Wait, yeah, wait did that that 50 00:02:50,720 --> 00:02:53,519 Speaker 1: just happened because you talked and then they appeared. Yeah damn, 51 00:02:53,560 --> 00:02:57,120 Speaker 1: so somebody's listening. But they do have new James Harden 52 00:02:57,200 --> 00:03:01,120 Speaker 1: sneakers and so that's exciting. So the beard, I'm this 53 00:03:01,200 --> 00:03:03,400 Speaker 1: is like an embarrassing thing. I had to google last week. 54 00:03:03,480 --> 00:03:05,480 Speaker 1: You guys heard me talking about couches my Google. So 55 00:03:05,639 --> 00:03:08,760 Speaker 1: just basically just couches right now, it's just places where 56 00:03:08,760 --> 00:03:12,400 Speaker 1: white women bisectionals. But I had to look up when 57 00:03:12,400 --> 00:03:15,160 Speaker 1: I was paying my taxes last week which side of 58 00:03:15,200 --> 00:03:18,880 Speaker 1: the envelope the stamp goes on, and I was like, 59 00:03:19,120 --> 00:03:21,120 Speaker 1: because I knew, I knew, but I was just like 60 00:03:21,200 --> 00:03:23,880 Speaker 1: so frazzled that I was like, I just didn't trust 61 00:03:24,000 --> 00:03:25,679 Speaker 1: myself with the I R S like if it was 62 00:03:25,680 --> 00:03:29,760 Speaker 1: a letter going to like my great aunt inside anywhere, 63 00:03:29,840 --> 00:03:31,760 Speaker 1: it'll get to her. But I was like, I have 64 00:03:31,840 --> 00:03:34,639 Speaker 1: I been putting it on wrong the entire time, And 65 00:03:34,760 --> 00:03:36,720 Speaker 1: I was like, this is such a like I guess 66 00:03:36,960 --> 00:03:38,840 Speaker 1: when I think I'm not a millennial, I'm like, oh, 67 00:03:38,880 --> 00:03:41,280 Speaker 1: I need to look back at this moment and be like, no, 68 00:03:41,600 --> 00:03:44,560 Speaker 1: this is I did not even mail something. I r L. 69 00:03:44,920 --> 00:03:47,600 Speaker 1: That's probably the thing I've googled most in my life, 70 00:03:47,960 --> 00:03:50,360 Speaker 1: beside them where to put the stamp and like where 71 00:03:50,400 --> 00:03:52,920 Speaker 1: to put the return address? And I just always, I 72 00:03:52,920 --> 00:03:55,640 Speaker 1: don't know, like there's something like dyslexic about it or something. 73 00:03:55,720 --> 00:03:58,880 Speaker 1: I always have to google that. But maybe you second 74 00:03:58,920 --> 00:04:01,840 Speaker 1: guess yourself because of the stress of sending off the taxes, 75 00:04:01,920 --> 00:04:03,880 Speaker 1: which is why you even entered that headspace. Are you 76 00:04:03,880 --> 00:04:07,120 Speaker 1: think from the beginning you've always never quite been I 77 00:04:07,160 --> 00:04:09,000 Speaker 1: think it was the stress. I also like, I was 78 00:04:09,160 --> 00:04:13,520 Speaker 1: in Chase Bank brawl less in a LaVar ball custom 79 00:04:13,600 --> 00:04:20,520 Speaker 1: hoodie ball customhood and my friend made against all everyone's 80 00:04:20,560 --> 00:04:24,840 Speaker 1: will that the printing company. Was like, I don't think 81 00:04:24,880 --> 00:04:27,760 Speaker 1: this is trademark. She's like, oh, absolutely, it's not. It's 82 00:04:27,960 --> 00:04:30,599 Speaker 1: very illegal. But I think LaVar would be happy. So 83 00:04:30,640 --> 00:04:33,359 Speaker 1: it's all it's the whole family reaching for a ball, 84 00:04:33,839 --> 00:04:36,880 Speaker 1: and then the ball kind of has like christ like 85 00:04:37,720 --> 00:04:41,600 Speaker 1: um globe coming off of it. The whole ball family. 86 00:04:41,640 --> 00:04:46,400 Speaker 1: But right that's you know, I mean, if it was 87 00:04:46,560 --> 00:04:49,760 Speaker 1: Justina would be happy, but once it's the whole crew, 88 00:04:49,760 --> 00:04:52,520 Speaker 1: it's Lavarentina, it's Lavartina. So I'm sorry. Back to that. 89 00:04:52,560 --> 00:04:54,400 Speaker 1: You're in the you're in the Chase bank, you're wearing 90 00:04:54,400 --> 00:04:56,760 Speaker 1: the hoodie, and then you you just feel like, I 91 00:04:56,760 --> 00:04:58,680 Speaker 1: don't know where the stamped and there was like an 92 00:04:58,680 --> 00:05:01,120 Speaker 1: old man next to me and I was like laughing, well, no, 93 00:05:01,240 --> 00:05:02,880 Speaker 1: I was trying to hide it from him because I 94 00:05:02,920 --> 00:05:04,359 Speaker 1: was like I don't want him to know that I 95 00:05:04,360 --> 00:05:07,240 Speaker 1: don't know what are you googling over? And he it's 96 00:05:07,279 --> 00:05:09,280 Speaker 1: so funny. Like I walked into the Bank Contacts the 97 00:05:09,400 --> 00:05:12,520 Speaker 1: thinking it was gonna be popping. I was like, where 98 00:05:12,560 --> 00:05:16,760 Speaker 1: is everyone? They were like people do it before today? 99 00:05:17,120 --> 00:05:19,200 Speaker 1: You know, you don't have to do it as you 100 00:05:19,240 --> 00:05:23,400 Speaker 1: can send that ship through the internet. And then I 101 00:05:23,440 --> 00:05:24,920 Speaker 1: was like I needed to put it in the mail 102 00:05:25,040 --> 00:05:28,320 Speaker 1: and the mailbox, like the blue one by my apartment 103 00:05:28,400 --> 00:05:30,640 Speaker 1: had already been picked up. So I saw a mail 104 00:05:30,839 --> 00:05:33,640 Speaker 1: truck and I just sat outside waiting for him for 105 00:05:33,680 --> 00:05:37,680 Speaker 1: like fifteen minutes and then to him, well he got 106 00:05:37,680 --> 00:05:39,880 Speaker 1: it done. He's my friend. I have always connected with 107 00:05:39,960 --> 00:05:42,160 Speaker 1: mail men. He's like my person, like the one from 108 00:05:42,160 --> 00:05:44,360 Speaker 1: my building and he's cool. I like him nice. Yeah, 109 00:05:44,400 --> 00:05:46,840 Speaker 1: the one the mail carrier I forget what her name 110 00:05:46,880 --> 00:05:48,840 Speaker 1: is in my neighborhood. She literally seen me grow up, 111 00:05:49,080 --> 00:05:50,760 Speaker 1: so like when I've moved out of the house and 112 00:05:50,839 --> 00:05:52,560 Speaker 1: I come back and seems she's like, oh my god, 113 00:05:52,560 --> 00:05:56,920 Speaker 1: how are you. This doesn't happen. No. I love male people. 114 00:05:57,640 --> 00:06:01,520 Speaker 1: They're wonderful. They have great tans, yeah, like one side 115 00:06:01,560 --> 00:06:04,120 Speaker 1: of the body. No, not like trug drivers right like 116 00:06:04,120 --> 00:06:07,919 Speaker 1: like legit, you know those cavs see the sign right right? Megan? 117 00:06:07,960 --> 00:06:11,760 Speaker 1: What is something that's underrated? I think this new season 118 00:06:11,839 --> 00:06:14,760 Speaker 1: of American Idol is really good. Granted I've stopped watching 119 00:06:14,760 --> 00:06:17,680 Speaker 1: it because I don't agree with any of their decisions, Like, 120 00:06:17,800 --> 00:06:21,440 Speaker 1: but if you're looking for something. The first round of auditions, 121 00:06:21,480 --> 00:06:23,600 Speaker 1: when they're like here and I don't know they went 122 00:06:23,640 --> 00:06:25,360 Speaker 1: to Charleston, I was like, I don't know if you 123 00:06:25,440 --> 00:06:27,720 Speaker 1: need to be here. It's really I mean there were 124 00:06:27,760 --> 00:06:29,640 Speaker 1: episodes where I was crying so hard I had to 125 00:06:29,680 --> 00:06:32,560 Speaker 1: pause it, go in the bathroom cry in a way 126 00:06:32,600 --> 00:06:35,159 Speaker 1: that I wanted to actually, and then come back out 127 00:06:35,240 --> 00:06:39,400 Speaker 1: and restarted again. I'm sorry, you're watching alone with my boyfriend. 128 00:06:39,400 --> 00:06:41,240 Speaker 1: That's why would go in the bathroom, because he'd be like, 129 00:06:41,240 --> 00:06:44,159 Speaker 1: are you okay? And I'd be like, I'm fine, And 130 00:06:44,200 --> 00:06:45,520 Speaker 1: then I get up and go in the bathroom and 131 00:06:45,640 --> 00:06:52,200 Speaker 1: like he adopted his brother's baby. Like there's just things 132 00:06:52,360 --> 00:06:56,000 Speaker 1: that wow, um, but it's really good. All the people 133 00:06:56,040 --> 00:06:58,760 Speaker 1: that I loved are kind of gone. But there's some 134 00:06:59,120 --> 00:07:02,560 Speaker 1: there's like three I've been jumping back in via YouTube 135 00:07:02,600 --> 00:07:06,359 Speaker 1: only now to watch the finals, the performances. Yeah, and 136 00:07:06,360 --> 00:07:08,240 Speaker 1: I don't know if I'm gonna vote. I've never voted. 137 00:07:08,440 --> 00:07:12,760 Speaker 1: Voting seems like an election either, right, Oh no, I've 138 00:07:12,800 --> 00:07:15,880 Speaker 1: voted in that also seems like you're divorced. That seems 139 00:07:15,920 --> 00:07:19,800 Speaker 1: like the demo of who's actually voting, American idle voting. 140 00:07:19,840 --> 00:07:22,400 Speaker 1: I'm like, I don't is this too bleak to do? 141 00:07:22,640 --> 00:07:29,080 Speaker 1: But I really like Maddie Pope. Pattie Pope. Um, it's 142 00:07:29,120 --> 00:07:33,800 Speaker 1: just like Powerhouse Hope is No, it's sort of like 143 00:07:33,840 --> 00:07:36,360 Speaker 1: a I don't want to see like Feist, but it's like, um, 144 00:07:36,960 --> 00:07:40,120 Speaker 1: like a girl with like an interesting voice, not a 145 00:07:40,160 --> 00:07:42,200 Speaker 1: Florence in the Machine, but sort of like there's some 146 00:07:42,240 --> 00:07:44,840 Speaker 1: grit to it. And then there's this guy Michael, who's 147 00:07:44,880 --> 00:07:47,880 Speaker 1: incredible who I love, who actually works at the bowling 148 00:07:47,880 --> 00:07:51,440 Speaker 1: Alley right by my house. That's where they like is 149 00:07:51,480 --> 00:07:54,560 Speaker 1: like pre shoot. And then there's this girl Katie, who 150 00:07:54,560 --> 00:07:56,600 Speaker 1: I do like, and then everyone else I'm like, nah, 151 00:07:57,440 --> 00:07:59,840 Speaker 1: there's just so many country boys. This is the problem 152 00:07:59,880 --> 00:08:01,800 Speaker 1: with you. Like watch it and you'll be like rooting 153 00:08:01,840 --> 00:08:03,760 Speaker 1: for someone and then they're like they voted for Trump. 154 00:08:03,880 --> 00:08:07,520 Speaker 1: You know, like there's true they're too good down here. 155 00:08:07,760 --> 00:08:12,240 Speaker 1: And then you're like, fuck, like can I perform in 156 00:08:12,280 --> 00:08:16,360 Speaker 1: this white polo shirt? And know what's something? You think 157 00:08:16,400 --> 00:08:20,840 Speaker 1: it is overrated? Is that how you say it? Get 158 00:08:20,880 --> 00:08:25,440 Speaker 1: out of here? Bubble Tea no oysters? Absolutely not? Wait 159 00:08:25,520 --> 00:08:28,560 Speaker 1: what I don't like any of those? Okay? I was like, 160 00:08:28,840 --> 00:08:32,480 Speaker 1: I'm like, bubble tea sucks, but you don't like Boba No? 161 00:08:32,600 --> 00:08:35,480 Speaker 1: Why I got those beads first of all? The tapioca 162 00:08:36,040 --> 00:08:38,640 Speaker 1: like those, and it's like, I don't know, I think 163 00:08:38,679 --> 00:08:40,880 Speaker 1: I have an addiction to it just being Asian or 164 00:08:40,920 --> 00:08:43,800 Speaker 1: something I love. Oh my god, I love that ship. 165 00:08:44,000 --> 00:08:47,480 Speaker 1: Although recently though, I have started ordering ship without the 166 00:08:47,480 --> 00:08:50,280 Speaker 1: bobaka because I'm like, I'm kind of like Trump in 167 00:08:50,280 --> 00:08:51,960 Speaker 1: a way where if like, if I like one part 168 00:08:51,960 --> 00:08:54,320 Speaker 1: of something and I'm able to get it, then I'll 169 00:08:54,320 --> 00:08:57,199 Speaker 1: do that. So you don't like the bubble, well, sometimes 170 00:08:57,640 --> 00:08:59,319 Speaker 1: the thing is I like the flavor of like a 171 00:08:59,440 --> 00:09:03,200 Speaker 1: Taro milkshakes so much like the taro flavor that sometimes 172 00:09:03,240 --> 00:09:04,880 Speaker 1: I'm like, no, I just need a mainline to Taro. 173 00:09:05,160 --> 00:09:09,880 Speaker 1: I think it tastes like sticks is just sticky gross. 174 00:09:09,960 --> 00:09:12,640 Speaker 1: The flavored pearl ones are kind of wacky because that's 175 00:09:12,679 --> 00:09:18,400 Speaker 1: just like both kombucha and oysters have felt to me 176 00:09:18,559 --> 00:09:22,560 Speaker 1: like you're drinking slash eating snot. It's like they have 177 00:09:22,640 --> 00:09:25,920 Speaker 1: like a very snotty vibe. Oysters. Come on, man, you 178 00:09:25,920 --> 00:09:27,920 Speaker 1: don't like oysters? No, I do. I like them, but 179 00:09:27,960 --> 00:09:31,040 Speaker 1: I like snot you know. Yeah, yeah, oh that's why 180 00:09:31,040 --> 00:09:32,760 Speaker 1: you always asked me to put my boogers in that 181 00:09:32,760 --> 00:09:37,240 Speaker 1: tube where. But yeah, I love oysters. Cha, I'm not. 182 00:09:37,280 --> 00:09:39,600 Speaker 1: I don't really drink, especially once I started seeing it 183 00:09:39,640 --> 00:09:42,319 Speaker 1: like in l A, where the people doing like cocktails 184 00:09:42,360 --> 00:09:44,679 Speaker 1: and ship No, but the cocktail thing where like, you know, 185 00:09:44,760 --> 00:09:48,240 Speaker 1: you want to booch in like Jameson, I was like, 186 00:09:48,320 --> 00:09:49,920 Speaker 1: what the funk are you not? Bro? This is to 187 00:09:50,200 --> 00:09:53,319 Speaker 1: l a for me and I'm from here. But yeah, okay, 188 00:09:53,400 --> 00:09:56,240 Speaker 1: I see that. I don't like it. Fine? What about 189 00:09:56,240 --> 00:09:58,439 Speaker 1: oysters though? Was the problem? Is this not thing? The 190 00:09:58,480 --> 00:10:01,439 Speaker 1: thing with oysters? I wish I to and I don't. 191 00:10:01,720 --> 00:10:03,320 Speaker 1: You know, It's like how I used to be this 192 00:10:03,360 --> 00:10:05,000 Speaker 1: way with salmon when I was a young girl. I 193 00:10:05,040 --> 00:10:06,760 Speaker 1: was like, I think I should like salmon. I was 194 00:10:06,800 --> 00:10:08,679 Speaker 1: a young girl and then I and now I do 195 00:10:09,160 --> 00:10:11,160 Speaker 1: and so but like I'll be at dinners and people like, 196 00:10:11,200 --> 00:10:13,640 Speaker 1: let's get oysters, and I feel like a hillbilly that 197 00:10:13,720 --> 00:10:16,520 Speaker 1: I don't want them, but right, and then then I 198 00:10:16,559 --> 00:10:19,800 Speaker 1: also find oysters to be strange because then people will 199 00:10:19,840 --> 00:10:22,200 Speaker 1: be like, you know, it's enough, always always saying that, 200 00:10:22,280 --> 00:10:24,760 Speaker 1: and it's like this is like an Easter brunch, Like 201 00:10:25,559 --> 00:10:27,360 Speaker 1: I don't why are you trying to sell it as 202 00:10:27,440 --> 00:10:28,880 Speaker 1: like now we're all going to have sex with each 203 00:10:28,920 --> 00:10:39,520 Speaker 1: other because weird say, yeah, I like muscles and I 204 00:10:39,520 --> 00:10:42,600 Speaker 1: feel like they're like related somehow, well they're not, I know, 205 00:10:42,720 --> 00:10:44,599 Speaker 1: but they seem like the same, like if there was 206 00:10:44,640 --> 00:10:46,840 Speaker 1: like a food family tree, they would be on a 207 00:10:46,880 --> 00:10:50,600 Speaker 1: swing when they because they say that oysters have no 208 00:10:50,679 --> 00:10:53,360 Speaker 1: central nervous system, which is why vegans have began to 209 00:10:53,400 --> 00:10:56,720 Speaker 1: embrace oysters and nuts and knock against them too. Yeah, right, 210 00:10:56,760 --> 00:10:58,959 Speaker 1: and like because they're they're like these entities that filter 211 00:10:59,080 --> 00:11:01,760 Speaker 1: the water. They're like why or filters where? Yeah? But 212 00:11:02,880 --> 00:11:07,200 Speaker 1: either way, what is a myth? What's something people think 213 00:11:07,280 --> 00:11:09,960 Speaker 1: is true that you know to be false. I used 214 00:11:10,000 --> 00:11:12,800 Speaker 1: to work out a retirement community, and I don't think 215 00:11:12,800 --> 00:11:15,400 Speaker 1: old people are having as much sex as we think 216 00:11:15,440 --> 00:11:20,240 Speaker 1: they are. I don't think they are. Yeah, whenever, because 217 00:11:20,280 --> 00:11:22,680 Speaker 1: I love old people. I like do a lot of 218 00:11:22,720 --> 00:11:29,800 Speaker 1: things with old people that volunteer. I didn't want to say, Lune, listen, 219 00:11:29,840 --> 00:11:32,240 Speaker 1: I'm a better person than everyone listening. I volunte here 220 00:11:32,280 --> 00:11:35,480 Speaker 1: with the elderly population. But like, I don't think they're 221 00:11:35,520 --> 00:11:37,520 Speaker 1: they're getting down as much because we were like, oh, 222 00:11:37,600 --> 00:11:40,040 Speaker 1: that really high rate of STD. It's like, yeah, maybe 223 00:11:40,120 --> 00:11:42,760 Speaker 1: that's true. So there's a big story like in the 224 00:11:42,800 --> 00:11:49,520 Speaker 1: past decade that STDs were running rampant retirement community to 225 00:11:49,800 --> 00:11:54,640 Speaker 1: some extent, because um, there is there's so few men 226 00:11:54,679 --> 00:11:58,719 Speaker 1: and men die, so thankfully, finally something good happens at 227 00:11:58,720 --> 00:12:01,840 Speaker 1: the end of life, all of them in parish, and 228 00:12:01,880 --> 00:12:04,079 Speaker 1: so they'll be like one man left and then like 229 00:12:04,280 --> 00:12:07,760 Speaker 1: if he is having sex with multiple partners and gets in, 230 00:12:08,200 --> 00:12:11,080 Speaker 1: it's the same way that like it happens amongst young people, 231 00:12:11,120 --> 00:12:13,560 Speaker 1: but then the men are dead. But it's a function 232 00:12:13,559 --> 00:12:16,000 Speaker 1: of Yeah, I don't think it's actually them just like 233 00:12:16,160 --> 00:12:19,720 Speaker 1: having sex all the time. So and in your experience 234 00:12:19,760 --> 00:12:21,439 Speaker 1: being there, it didn't seem like there was a lot 235 00:12:21,480 --> 00:12:24,079 Speaker 1: going on. No, I mean people were following asleep at 236 00:12:24,120 --> 00:12:28,000 Speaker 1: like eleanor Roosevelt talks, you know, like I don't see 237 00:12:28,000 --> 00:12:30,960 Speaker 1: how those same people were like getting it up that night. 238 00:12:31,840 --> 00:12:35,080 Speaker 1: Are there like social activities maybe at night like wine 239 00:12:35,320 --> 00:12:38,920 Speaker 1: wine tastings or something like there is wine tasting, but 240 00:12:38,960 --> 00:12:42,080 Speaker 1: it was all women. There were no men there because 241 00:12:42,120 --> 00:12:44,160 Speaker 1: they're debt. Well, then I'm maybe your sample size is a 242 00:12:44,120 --> 00:12:46,040 Speaker 1: a little bit different because you were in like the 243 00:12:46,080 --> 00:12:48,640 Speaker 1: island that there were no men. Yeah, I mean there 244 00:12:48,679 --> 00:12:51,160 Speaker 1: was one man. He could still walk and he was 245 00:12:51,200 --> 00:12:55,400 Speaker 1: the hottest hot commodity life can still walk. Life wasn't 246 00:12:55,440 --> 00:12:58,840 Speaker 1: even past yet, and people were bringing him lemon tarts. 247 00:13:01,200 --> 00:13:04,840 Speaker 1: That's disrespect. I thought so too, but he and like 248 00:13:04,920 --> 00:13:07,400 Speaker 1: you could tell he'd never been cool ever in his life. 249 00:13:07,880 --> 00:13:10,520 Speaker 1: I was like, oh my god, I'm the last one standing. 250 00:13:10,960 --> 00:13:13,000 Speaker 1: Should we bring up the conversation we've been having in 251 00:13:13,040 --> 00:13:17,600 Speaker 1: the Office of Couples pretty crazy. So we were having 252 00:13:17,600 --> 00:13:21,760 Speaker 1: the conversation, how long do you think former President George H. W. 253 00:13:21,960 --> 00:13:26,400 Speaker 1: Bush has now that Barbara Bush has passed, because that's 254 00:13:26,400 --> 00:13:30,000 Speaker 1: the thing that happens, right, one part of a couple 255 00:13:30,000 --> 00:13:33,079 Speaker 1: of passes and then the other member of the couple 256 00:13:33,360 --> 00:13:36,120 Speaker 1: of the marriage guys. Uh. And we were like having 257 00:13:36,120 --> 00:13:39,400 Speaker 1: this conversation and we might have taken it over under 258 00:13:39,520 --> 00:13:42,320 Speaker 1: on like how long he had. He's also not in 259 00:13:42,480 --> 00:13:47,360 Speaker 1: good health. I think people were like, oh, he went first, right, yeah, 260 00:13:47,440 --> 00:13:52,680 Speaker 1: And then so we have to like sort of sheets 261 00:13:53,000 --> 00:13:56,200 Speaker 1: where our guesses are like, you know, five months, four months, 262 00:13:56,280 --> 00:13:59,880 Speaker 1: three months. And then immediately like right as we fin 263 00:14:00,559 --> 00:14:03,720 Speaker 1: having that conversation, we all got the news alert that 264 00:14:03,800 --> 00:14:06,520 Speaker 1: he was like going to the hospital, and so then 265 00:14:06,600 --> 00:14:08,880 Speaker 1: we are we rammed it up. Well. The thing was 266 00:14:09,080 --> 00:14:12,800 Speaker 1: really the whole debate circled around like a few points, right, 267 00:14:12,880 --> 00:14:15,319 Speaker 1: because it was really in the context of what happens 268 00:14:15,320 --> 00:14:17,480 Speaker 1: with an elderly couple when one of them dies, will 269 00:14:17,520 --> 00:14:20,800 Speaker 1: they survived? And then, you know, some people speculate that 270 00:14:21,080 --> 00:14:24,360 Speaker 1: if if George really loved her, then he would probably 271 00:14:24,400 --> 00:14:27,480 Speaker 1: soon follow because he was so heartbroken. Then other people 272 00:14:27,520 --> 00:14:30,360 Speaker 1: had theories that maybe he never loved her, that they 273 00:14:30,600 --> 00:14:34,040 Speaker 1: had a purely sort of like a business relationship kind 274 00:14:34,080 --> 00:14:36,320 Speaker 1: of thing, and he would probably live for a long 275 00:14:36,360 --> 00:14:38,920 Speaker 1: time because he was never really depending on her and 276 00:14:38,960 --> 00:14:41,040 Speaker 1: that part of him is missing, and so really the 277 00:14:41,360 --> 00:14:43,960 Speaker 1: debate started to be to center around what was the 278 00:14:44,000 --> 00:14:48,080 Speaker 1: real relationship, like did they love each other? I think 279 00:14:48,120 --> 00:14:50,800 Speaker 1: that they will probably. I mean he may he may 280 00:14:50,800 --> 00:14:54,360 Speaker 1: pass soon, and that would be that would be sad um. 281 00:14:54,400 --> 00:14:57,480 Speaker 1: But I think that when you're in the public eye 282 00:14:57,480 --> 00:15:00,400 Speaker 1: and deaf and being a president, you fall out of 283 00:15:00,480 --> 00:15:03,680 Speaker 1: like what is normal. Because he has people caring for 284 00:15:03,760 --> 00:15:06,000 Speaker 1: him all the time. It's not like he's just likely 285 00:15:06,040 --> 00:15:09,120 Speaker 1: took him to the best hostile country. That's that's a 286 00:15:09,200 --> 00:15:13,440 Speaker 1: really good point kind of changes. But I don't want 287 00:15:13,440 --> 00:15:15,560 Speaker 1: any of them to die. I just feel like more 288 00:15:15,640 --> 00:15:20,440 Speaker 1: criminals just end up living exactly I think will live 289 00:15:20,480 --> 00:15:24,480 Speaker 1: for well, Yeah, Dick Cheney's on his seventh heart. I 290 00:15:24,520 --> 00:15:28,600 Speaker 1: think that h dub could outlive Trump. I think we 291 00:15:28,720 --> 00:15:31,520 Speaker 1: like sort of forget that, like he has to be 292 00:15:31,560 --> 00:15:34,080 Speaker 1: in bad health. Yeah, but if it's a thing where 293 00:15:34,120 --> 00:15:36,480 Speaker 1: the worst person you are, the longer you live, then 294 00:15:36,520 --> 00:15:41,200 Speaker 1: Trump is going to be the last human being seventy 295 00:15:41,480 --> 00:15:46,480 Speaker 1: to seventy one. Men are very interesting old because in 296 00:15:46,560 --> 00:15:50,160 Speaker 1: like six weeks he may look a hundred. It happens 297 00:15:50,280 --> 00:15:52,760 Speaker 1: like they just like, oh year old, right, right, you know, 298 00:15:52,840 --> 00:15:55,760 Speaker 1: like I'm supposed to happen with presidents like immediately and 299 00:15:55,880 --> 00:16:00,160 Speaker 1: like very precipitously but working. Yeah, because they're working their 300 00:16:00,160 --> 00:16:03,440 Speaker 1: ass off, which is not happening with him. Yeah. Like 301 00:16:03,480 --> 00:16:06,080 Speaker 1: Obama was like, oh damn, I'm taking over after this 302 00:16:06,200 --> 00:16:10,000 Speaker 1: economic ship, Okay, and then he literally like it looked 303 00:16:10,040 --> 00:16:14,280 Speaker 1: like that scene in Private ryanok He's like where Matt 304 00:16:14,360 --> 00:16:15,920 Speaker 1: Damon turns to the old man at the end of 305 00:16:15,920 --> 00:16:17,840 Speaker 1: saving Private. Right. That was like within the first ten 306 00:16:17,880 --> 00:16:20,520 Speaker 1: minutes of Obama being and Michelle had some stress and 307 00:16:20,600 --> 00:16:25,040 Speaker 1: she's looked better than ever. Is a different an alien? 308 00:16:25,320 --> 00:16:27,880 Speaker 1: All right? So wait, do you think that the reason 309 00:16:28,120 --> 00:16:30,880 Speaker 1: that you know, when one part of a couple passes 310 00:16:30,920 --> 00:16:35,000 Speaker 1: the other one follows soon after is because that person 311 00:16:35,320 --> 00:16:37,320 Speaker 1: like they're used to taking care of each other. Yeah. 312 00:16:37,720 --> 00:16:41,000 Speaker 1: I think they sort of like fused together. It's like 313 00:16:41,080 --> 00:16:43,920 Speaker 1: they have like, well, no, he used to clean the 314 00:16:44,000 --> 00:16:47,080 Speaker 1: dust off the fan, and like when that's gone, you're like, well, 315 00:16:47,120 --> 00:16:49,600 Speaker 1: I don't know, right, right, Because a lot of times 316 00:16:49,640 --> 00:16:52,240 Speaker 1: when someone passes and another one will then go and 317 00:16:52,320 --> 00:16:55,760 Speaker 1: live in a retirement community like pretty immediately, and sometimes 318 00:16:55,800 --> 00:16:58,440 Speaker 1: it's the family making the decision, but it is like, oh, 319 00:16:58,520 --> 00:17:00,520 Speaker 1: two people can kind of look at to each other 320 00:17:00,560 --> 00:17:03,600 Speaker 1: even if they're both sort of old and in failing health, 321 00:17:03,840 --> 00:17:07,879 Speaker 1: but one person can't, right. Yeah. And also my grandma, 322 00:17:07,880 --> 00:17:10,840 Speaker 1: when my grandfather passed away, we immediately brought her over 323 00:17:10,880 --> 00:17:14,320 Speaker 1: from Japan, and we're like, just don't even begin to 324 00:17:14,560 --> 00:17:18,000 Speaker 1: experience life without him. Came over, lived to be like 325 00:17:18,000 --> 00:17:21,800 Speaker 1: a hundred one years old. I loved America. Yeah, I 326 00:17:21,920 --> 00:17:27,720 Speaker 1: like I love Disney, eating a Trumpian diet. You changed 327 00:17:27,720 --> 00:17:30,359 Speaker 1: her environment enough, though, Yeah. I think that's I think 328 00:17:30,400 --> 00:17:32,879 Speaker 1: another thing too, because if there's if you're used to 329 00:17:32,880 --> 00:17:35,000 Speaker 1: sort of the rhythm or the patterns of your day 330 00:17:35,000 --> 00:17:37,080 Speaker 1: to day and that included that person, Yeah, like when 331 00:17:37,119 --> 00:17:40,240 Speaker 1: that's disrupted in such a such a clear way, like 332 00:17:40,280 --> 00:17:42,080 Speaker 1: I can see how that could just yeah, I mean 333 00:17:42,119 --> 00:17:45,719 Speaker 1: they say that after a divorce, like it's almost like 334 00:17:45,760 --> 00:17:49,600 Speaker 1: suffering from brand damage because your mind is like sort 335 00:17:49,600 --> 00:17:52,520 Speaker 1: of fused with the other person's mind and like one 336 00:17:52,560 --> 00:17:55,879 Speaker 1: person is like used to doing this part of the 337 00:17:55,960 --> 00:17:58,280 Speaker 1: task and the other person. So I'm sure the same 338 00:17:58,320 --> 00:18:00,920 Speaker 1: thing happens, like when one part of a couple of diys. 339 00:18:01,000 --> 00:18:04,440 Speaker 1: It's like, well, the person who did my thinking for 340 00:18:04,480 --> 00:18:07,520 Speaker 1: this thing is just gone, I mean love or not. 341 00:18:07,600 --> 00:18:11,639 Speaker 1: They were together for many years, so probably like in 342 00:18:11,680 --> 00:18:14,199 Speaker 1: between because the romantic ideas like he died from a 343 00:18:14,280 --> 00:18:16,920 Speaker 1: broken heart, and it might just be like he didn't 344 00:18:16,920 --> 00:18:22,719 Speaker 1: know him exactly. He died because he was worthless, I 345 00:18:22,720 --> 00:18:25,960 Speaker 1: mean not who cares? All Right, we're trying to take 346 00:18:25,960 --> 00:18:28,240 Speaker 1: a sample of the global and national share consciousness, what 347 00:18:28,280 --> 00:18:31,640 Speaker 1: people are thinking and talking about right now. Uh. And 348 00:18:32,160 --> 00:18:34,840 Speaker 1: the thing that at least the city of Philadelphia is 349 00:18:34,840 --> 00:18:39,280 Speaker 1: thinking about is that the Sixers moved on. They won 350 00:18:39,320 --> 00:18:42,119 Speaker 1: their first round series with the Miami Heat, and it 351 00:18:42,240 --> 00:18:45,240 Speaker 1: happened to coincide with Meek Mill getting out of prison. 352 00:18:46,200 --> 00:18:49,880 Speaker 1: Meek Mill just had like the greatest most triumphant return 353 00:18:50,160 --> 00:18:54,879 Speaker 1: to reality, to the best day to get out of jail. Yeah, exactly. 354 00:18:54,960 --> 00:18:57,720 Speaker 1: Like the Sixers owner like went and like picked him up. 355 00:18:57,880 --> 00:19:00,880 Speaker 1: He got to the game. Uh, they let him ring 356 00:19:00,960 --> 00:19:02,840 Speaker 1: the bell, which is like a thing that happens at 357 00:19:02,880 --> 00:19:05,880 Speaker 1: the beginning of every game. The crowds like going crazy 358 00:19:05,960 --> 00:19:09,280 Speaker 1: for him. There's this video from like in the guts 359 00:19:09,280 --> 00:19:13,360 Speaker 1: of the stadium. Uh, the acrobatic like cheerleader people are 360 00:19:13,440 --> 00:19:17,480 Speaker 1: practicing doing flips off of a trampoline and suddenly, like 361 00:19:17,560 --> 00:19:20,480 Speaker 1: out of nowhere, just Meek Mill runs up and does 362 00:19:20,520 --> 00:19:24,040 Speaker 1: a fucking front flip and like totally sticks. It just 363 00:19:24,200 --> 00:19:27,480 Speaker 1: sticks the ship out of it, and everyone's like, people 364 00:19:27,560 --> 00:19:30,960 Speaker 1: just went crazy. You finally get out on bail, you 365 00:19:31,080 --> 00:19:33,800 Speaker 1: fucking go you're doing flips and then and then your 366 00:19:33,800 --> 00:19:35,520 Speaker 1: team wins to move on to the next round of 367 00:19:35,520 --> 00:19:38,240 Speaker 1: the playoffs, Like, yeah, I gotta go through a lot 368 00:19:38,240 --> 00:19:40,800 Speaker 1: though too. Yeah exactly. This is a story we've been 369 00:19:40,840 --> 00:19:42,800 Speaker 1: talking about for a while because the reason he was 370 00:19:42,840 --> 00:19:46,880 Speaker 1: back in prison is some bullshit, because how this fucking 371 00:19:46,960 --> 00:19:49,600 Speaker 1: loop of probation people can get stuck in after, you know, 372 00:19:50,040 --> 00:19:53,040 Speaker 1: years after they've served out their time or done whatever 373 00:19:53,080 --> 00:19:55,639 Speaker 1: they had to to move on. Yeah, Like because basically 374 00:19:55,720 --> 00:19:57,600 Speaker 1: Meek Mill was like on this never ending probation for 375 00:19:57,680 --> 00:20:00,119 Speaker 1: like a decade from one thing. What's everybody going to 376 00:20:00,119 --> 00:20:04,280 Speaker 1: do with their free Meek Mill Eagles jerseys now? Fraeum, Like, 377 00:20:04,400 --> 00:20:06,760 Speaker 1: is that going to go in a man cave? Exactly? 378 00:20:07,480 --> 00:20:09,080 Speaker 1: I went to the super Bowl this year. I don't 379 00:20:09,080 --> 00:20:11,800 Speaker 1: know if that was after I did. My boyfriend works 380 00:20:11,800 --> 00:20:16,640 Speaker 1: for the NFL and couldn't have rolled your well because 381 00:20:16,960 --> 00:20:20,520 Speaker 1: I think you might have just sprayed your he left it. 382 00:20:20,600 --> 00:20:22,199 Speaker 1: He left today to go to the draft. Did I 383 00:20:22,200 --> 00:20:28,480 Speaker 1: just miss him? And I know he works for the league. 384 00:20:28,720 --> 00:20:31,520 Speaker 1: Oh my god, are you dating Roger Goodell? I mean 385 00:20:31,520 --> 00:20:34,639 Speaker 1: I almost said I wish, I wish, but just for 386 00:20:34,680 --> 00:20:39,280 Speaker 1: the plane. Um. And I saw like a young probably 387 00:20:39,280 --> 00:20:42,359 Speaker 1: like fifteen year old white boy sell a free Meek 388 00:20:42,400 --> 00:20:47,880 Speaker 1: Mill jersey like cash to a guy. Yeah wow, that's 389 00:20:47,920 --> 00:20:53,120 Speaker 1: called entrepreneur. Seriously, I know your market. So another rapper news, 390 00:20:53,160 --> 00:20:59,280 Speaker 1: Kanye is continuing to just tweet crazy shit hired as manager? 391 00:20:59,480 --> 00:21:04,400 Speaker 1: That fired, So he fired Scooter Braun, who anyone his manager? 392 00:21:04,480 --> 00:21:09,640 Speaker 1: He's also like the crazy person, crazy talent whisper, like 393 00:21:10,000 --> 00:21:13,359 Speaker 1: he got Justin Bieber back from the brink when he 394 00:21:13,440 --> 00:21:16,480 Speaker 1: was like, yeah, I mean, I mean there was a 395 00:21:16,480 --> 00:21:18,520 Speaker 1: while where he was like one of the few people 396 00:21:18,640 --> 00:21:21,239 Speaker 1: Bieber would listen to. I remember when I said work 397 00:21:21,280 --> 00:21:23,399 Speaker 1: at Power one of six, Justin Bieber supposed to come 398 00:21:23,400 --> 00:21:26,639 Speaker 1: in to do an interview. Dude got so high he 399 00:21:26,800 --> 00:21:29,760 Speaker 1: just like literally called ten minutes before he's supposed to be. 400 00:21:29,760 --> 00:21:32,120 Speaker 1: He was like like, or Scooter Braun called the stage, 401 00:21:32,160 --> 00:21:34,720 Speaker 1: was like, I'm sorry, dude, this dude was asleep, um 402 00:21:35,160 --> 00:21:37,520 Speaker 1: and this he was like, can we do this tomorrow? 403 00:21:37,880 --> 00:21:39,639 Speaker 1: And he was like I promise, Like I'm gonna get 404 00:21:39,680 --> 00:21:42,080 Speaker 1: him there the next day, like he didn't come, and 405 00:21:42,080 --> 00:21:44,720 Speaker 1: then the third day, like Scooter Brown basically dragged him 406 00:21:44,720 --> 00:21:46,399 Speaker 1: in by the scruff of the neck. This is like 407 00:21:46,480 --> 00:21:49,040 Speaker 1: at his peak, like I'm not making music, Justin Bieber 408 00:21:49,119 --> 00:21:51,880 Speaker 1: like I'm just discovering weed now. Bieber kind of survibe. 409 00:21:52,200 --> 00:21:54,439 Speaker 1: And it was amazing though, because he brought him in 410 00:21:54,480 --> 00:21:56,479 Speaker 1: and was like you could tell that this was like 411 00:21:56,480 --> 00:21:58,280 Speaker 1: one of the few people despite Justin being on his 412 00:21:58,320 --> 00:22:00,960 Speaker 1: own schedule. Scooter Braun was like, no, you you're fucking 413 00:22:01,000 --> 00:22:03,280 Speaker 1: going to this thing and he went because they listen 414 00:22:03,320 --> 00:22:05,159 Speaker 1: and he's, yeah, I think he understands a lot of 415 00:22:05,160 --> 00:22:08,119 Speaker 1: these artists. But yeah, Kanye acting and it's like reminds 416 00:22:08,160 --> 00:22:11,080 Speaker 1: me of Trump getting Really the adults can explain, does 417 00:22:11,119 --> 00:22:13,680 Speaker 1: the Twitter breakdown seem I mean, I don't Is it 418 00:22:13,720 --> 00:22:15,720 Speaker 1: a breakdown or is he just like I'm back on 419 00:22:15,760 --> 00:22:17,600 Speaker 1: Twitter and this is how we've been behaving, and I 420 00:22:17,640 --> 00:22:19,320 Speaker 1: just I guess you look at it a couple of ways. 421 00:22:19,480 --> 00:22:22,160 Speaker 1: It could be that he has come out as being 422 00:22:22,359 --> 00:22:27,360 Speaker 1: like a trump Ian alt right, like similar thinking what's 423 00:22:27,359 --> 00:22:29,760 Speaker 1: going on? Yeah, like he was, he was like shouting 424 00:22:29,760 --> 00:22:34,000 Speaker 1: out people who are like aligned with the right. He 425 00:22:34,480 --> 00:22:37,480 Speaker 1: tweeted recently like I love Trump, right, Yeah, he's like, 426 00:22:37,520 --> 00:22:39,080 Speaker 1: I don't care what y'all giving me to say, I'll 427 00:22:39,080 --> 00:22:41,840 Speaker 1: always love him. We have dragon energy and dragon energy. 428 00:22:41,960 --> 00:22:43,960 Speaker 1: It's the same thing we were talking about this yesterday. 429 00:22:44,000 --> 00:22:47,160 Speaker 1: It's like this sort of idea of like we see 430 00:22:47,160 --> 00:22:50,640 Speaker 1: through the matrix because their sociopaths and they treat other 431 00:22:50,720 --> 00:22:54,040 Speaker 1: people like objects and they think that that makes them 432 00:22:54,080 --> 00:22:59,680 Speaker 1: like some next level humors people mentally ill. But Kim, 433 00:22:59,720 --> 00:23:04,480 Speaker 1: I mean, for all of her drawbacks, is very politically 434 00:23:04,880 --> 00:23:09,600 Speaker 1: vocally against Trump, you know, was always like her husband's 435 00:23:09,600 --> 00:23:12,600 Speaker 1: Twitter account. Yeah, no, I think his tweet talking about 436 00:23:12,600 --> 00:23:14,640 Speaker 1: Trump was like, my wife just called me and told 437 00:23:14,640 --> 00:23:17,520 Speaker 1: me to say that I'm not for Trump, but I 438 00:23:17,560 --> 00:23:21,760 Speaker 1: do love him. I will always love It's all right, Um, 439 00:23:22,400 --> 00:23:25,480 Speaker 1: this means the beginning of the end for them too. 440 00:23:26,240 --> 00:23:29,400 Speaker 1: Does anyone think that? I mean, there theories that, like 441 00:23:29,600 --> 00:23:31,439 Speaker 1: they have been saying that for a while, according to 442 00:23:31,480 --> 00:23:33,320 Speaker 1: Boyd Watch when we do that, I feel like their 443 00:23:33,320 --> 00:23:36,240 Speaker 1: stories have never been about how everything is going well 444 00:23:36,280 --> 00:23:40,320 Speaker 1: between Kanye, and it's like he's not really around, he's 445 00:23:40,680 --> 00:23:43,600 Speaker 1: getting better, or they're staying way from each other, who knows, 446 00:23:44,440 --> 00:23:47,280 Speaker 1: but anyway, it's just I think it's more. I mean, 447 00:23:47,320 --> 00:23:50,800 Speaker 1: today he's just tweeting ship like decentralize, I'm nice at 448 00:23:50,800 --> 00:23:54,879 Speaker 1: Ping Pong, Okay, I need to meet Larry from Google, 449 00:23:55,200 --> 00:23:58,680 Speaker 1: Like Okay, my man, this is this book is looking amazing, 450 00:23:59,200 --> 00:24:04,199 Speaker 1: by the way. And there were rumors over the weekend 451 00:24:04,200 --> 00:24:07,000 Speaker 1: that he was addicted to opioids, or that he said 452 00:24:07,119 --> 00:24:09,119 Speaker 1: nobody was there for me when I was addicted to 453 00:24:09,119 --> 00:24:13,480 Speaker 1: opioids and that's why he was hospitalized, or you know, 454 00:24:13,560 --> 00:24:17,240 Speaker 1: had to cut that tour short, which would mean that 455 00:24:17,320 --> 00:24:20,639 Speaker 1: he doesn't get like I guess he had insurance for 456 00:24:20,680 --> 00:24:23,600 Speaker 1: the rest of the tour in case something happened, which 457 00:24:23,920 --> 00:24:26,639 Speaker 1: you know, it was sort of a medical condition that 458 00:24:26,720 --> 00:24:29,359 Speaker 1: cut the tour short, so he got a bunch of 459 00:24:29,359 --> 00:24:31,800 Speaker 1: his money back. But now that company who paid for 460 00:24:31,840 --> 00:24:34,320 Speaker 1: that is basically saying if it was a drug thing 461 00:24:34,400 --> 00:24:37,000 Speaker 1: and you don't you don't get it. Well, insurance company 462 00:24:37,040 --> 00:24:40,119 Speaker 1: is aren't really known for being I will always side 463 00:24:40,119 --> 00:24:43,399 Speaker 1: with Callane over the insurance we're always looking for. And 464 00:24:43,440 --> 00:24:45,520 Speaker 1: also who knows what? How do think he even knows 465 00:24:45,520 --> 00:24:47,920 Speaker 1: what he's saying? Yeah? Uh, And then we just want 466 00:24:47,960 --> 00:24:52,120 Speaker 1: to check in with There was a special election in Arizona, 467 00:24:52,800 --> 00:24:57,320 Speaker 1: uh last night, two nights ago. Arizona you know is 468 00:24:57,520 --> 00:25:02,439 Speaker 1: deep red country started le little bit. Yes, it's it's changing. 469 00:25:02,520 --> 00:25:05,359 Speaker 1: So I guess in this district, I don't even mean politically. 470 00:25:05,480 --> 00:25:07,680 Speaker 1: You go there and you're like, oh, everybody wanted to 471 00:25:07,720 --> 00:25:10,360 Speaker 1: have plastic surgery, but like the science wasn't here yet 472 00:25:10,400 --> 00:25:14,199 Speaker 1: and has fuck up faces, and then you're like, Okay, well, 473 00:25:14,240 --> 00:25:17,120 Speaker 1: I guess I'll tell jokes to these cookie town peop Paul. 474 00:25:19,600 --> 00:25:23,879 Speaker 1: This science wasn't there yet. Wow. Scathing review of the 475 00:25:23,960 --> 00:25:27,440 Speaker 1: medical board in Arizona. UM. So yeah, this district that 476 00:25:27,520 --> 00:25:30,480 Speaker 1: was up for grabs yesterday went between Debbie Letsco and 477 00:25:30,600 --> 00:25:33,600 Speaker 1: this other woman, Herald Tupper Ninny, and so Debbie Letsco 478 00:25:33,720 --> 00:25:35,359 Speaker 1: one and she has now just said, oh, I'm going 479 00:25:35,400 --> 00:25:37,320 Speaker 1: to be joining the Freedom Caucus, which shouldn't be a 480 00:25:37,320 --> 00:25:40,960 Speaker 1: surprise because this district is it's just deep Trump country, 481 00:25:41,040 --> 00:25:43,320 Speaker 1: like he won the district by twenty one points. They 482 00:25:43,440 --> 00:25:45,679 Speaker 1: loved Joe R. Pio there, like this was never going 483 00:25:45,720 --> 00:25:47,600 Speaker 1: to be won by the Democrats, so everyone was saying, 484 00:25:47,880 --> 00:25:50,720 Speaker 1: look if the Democrats somehow win, holy sh it. But really, 485 00:25:50,800 --> 00:25:52,600 Speaker 1: what you need to look at is what the margin 486 00:25:52,680 --> 00:25:55,600 Speaker 1: of victory is between these two candidates. And we find 487 00:25:55,760 --> 00:25:58,920 Speaker 1: last reporting on it is that Debbie LESCo was only 488 00:25:59,000 --> 00:26:02,000 Speaker 1: winning by about six percent, So that means they lost 489 00:26:02,040 --> 00:26:04,840 Speaker 1: about fifteen points on the Democrats in this election, which 490 00:26:04,920 --> 00:26:08,080 Speaker 1: is not a good sign at all because the Republicans 491 00:26:08,119 --> 00:26:10,480 Speaker 1: even had to spend like over million dollars in this 492 00:26:10,680 --> 00:26:14,000 Speaker 1: race to try and keep it competitive. So again, yes, 493 00:26:14,520 --> 00:26:17,240 Speaker 1: Republican won the special election. But if you look at everything, 494 00:26:17,359 --> 00:26:19,600 Speaker 1: I mean, it's you know, it's starting to follow this 495 00:26:19,920 --> 00:26:23,280 Speaker 1: well established trend that the GOP brand has not done 496 00:26:23,359 --> 00:26:25,040 Speaker 1: well since Trump took office. When you look at all 497 00:26:25,080 --> 00:26:27,359 Speaker 1: these special elections that have been you know, flipped. I 498 00:26:27,440 --> 00:26:30,440 Speaker 1: think if you're anti GP, this is almost a good 499 00:26:30,560 --> 00:26:33,840 Speaker 1: thing because they're not as panicky. They're not thinking it's 500 00:26:33,920 --> 00:26:37,040 Speaker 1: as big a deal the coming Democratic wave. They're like, okay, 501 00:26:37,119 --> 00:26:40,679 Speaker 1: so we won that. So it's not like one if 502 00:26:40,760 --> 00:26:44,520 Speaker 1: Democrats had one that that would have been like, yeah, 503 00:26:44,560 --> 00:26:46,639 Speaker 1: that would have been. But again, they're not dumb. I mean, 504 00:26:46,760 --> 00:26:49,159 Speaker 1: they're strategists on both sides. Anyone who's looking at it 505 00:26:49,240 --> 00:26:51,880 Speaker 1: knows that that's not a good result, especially for something 506 00:26:51,880 --> 00:26:55,639 Speaker 1: that's such typically solid red. I can't imagine voting for 507 00:26:55,720 --> 00:26:59,240 Speaker 1: someone named Debbie. It's like, at any point we're like, oh, 508 00:26:59,280 --> 00:27:02,520 Speaker 1: maybe I should go by Deborah. You know what if 509 00:27:02,560 --> 00:27:04,600 Speaker 1: I was like, hey, guys, I'm running first Senate in 510 00:27:04,680 --> 00:27:14,800 Speaker 1: Indiana's Meggie for Meggie Gale. It's so embarrassing. We're gonna 511 00:27:14,840 --> 00:27:25,879 Speaker 1: take a quick break. We will be right back, and 512 00:27:26,080 --> 00:27:29,520 Speaker 1: we're back, and uh, I do just want to stand 513 00:27:29,600 --> 00:27:33,359 Speaker 1: up for I've been to a cool small town in 514 00:27:33,480 --> 00:27:36,879 Speaker 1: Arizona called Jerome, Arizona. Of course, Tucson, I'm with you 515 00:27:37,640 --> 00:27:42,880 Speaker 1: some other slack staff. Yeah, we're more talking about we're 516 00:27:42,920 --> 00:27:45,680 Speaker 1: talking Phoenix, Scott Stale. There you go and not even 517 00:27:45,720 --> 00:27:48,879 Speaker 1: the Suns. We're with you two. Wow, Big Kevin Johnson, 518 00:27:51,480 --> 00:27:54,080 Speaker 1: you're an NBA fan. You've talked about James Harden's beard 519 00:27:54,320 --> 00:27:58,760 Speaker 1: and other NBA references. So you're following the Pacers this 520 00:27:59,200 --> 00:28:04,600 Speaker 1: exciting time. They're playing better than anyone thought they would. Um. Yeah, 521 00:28:04,600 --> 00:28:08,119 Speaker 1: I mean I think we all thought that this series 522 00:28:08,200 --> 00:28:12,520 Speaker 1: would go this way. I mean, the season definitely out 523 00:28:13,000 --> 00:28:16,240 Speaker 1: performed during the season, but this UM series is not 524 00:28:16,359 --> 00:28:19,240 Speaker 1: a surprise too. I was like going into it being like, yeah, 525 00:28:19,280 --> 00:28:21,479 Speaker 1: I very much think that they could win. I think 526 00:28:21,520 --> 00:28:23,879 Speaker 1: it's a really bad matchup for the Cavs that I 527 00:28:24,119 --> 00:28:27,120 Speaker 1: do think since we lost that last game, it's gonna 528 00:28:27,119 --> 00:28:29,480 Speaker 1: be tough to I think like when we were up, 529 00:28:30,000 --> 00:28:32,200 Speaker 1: it was like, oh, it felt even, and now that 530 00:28:32,280 --> 00:28:36,720 Speaker 1: we're even, it feels like we're down. I think Vic 531 00:28:37,160 --> 00:28:40,120 Speaker 1: is due for a big game. I really do. Vicky 532 00:28:40,760 --> 00:28:46,360 Speaker 1: my angel. I loved him. Victor Oladipo, who went from 533 00:28:46,400 --> 00:28:49,440 Speaker 1: being like sort of and also ran in a trade 534 00:28:49,800 --> 00:28:53,360 Speaker 1: last year for Paul George that people were like, Wow, 535 00:28:53,480 --> 00:28:57,440 Speaker 1: they got robbed, the Pacers got robbed, and then suddenly 536 00:28:57,520 --> 00:29:02,000 Speaker 1: he was just a All NBA, like all star. I 537 00:29:02,120 --> 00:29:04,160 Speaker 1: never agreed with the fact that we got robbed. People 538 00:29:04,200 --> 00:29:07,720 Speaker 1: in Indie really like Boo Paul George and it's like, no, 539 00:29:07,880 --> 00:29:09,920 Speaker 1: he was gonna leave, and so he left in a 540 00:29:09,960 --> 00:29:12,400 Speaker 1: way that we were able to get something. And maybe 541 00:29:12,440 --> 00:29:14,560 Speaker 1: you guys are too dumb to realize that, or you 542 00:29:14,640 --> 00:29:17,400 Speaker 1: hate black people too much to like overcome that. We 543 00:29:17,560 --> 00:29:21,720 Speaker 1: actually ended up with a good trade difficulty with India. Yeah, 544 00:29:21,960 --> 00:29:26,400 Speaker 1: but it's it's a land Stevenson can't play anywhere else. 545 00:29:26,560 --> 00:29:28,960 Speaker 1: Everywhere else hates him. And then it comes to India, 546 00:29:29,280 --> 00:29:32,000 Speaker 1: the home of the KKK, and is the biggest star 547 00:29:32,120 --> 00:29:34,400 Speaker 1: And you're like, Okay, I mean I wish you guys 548 00:29:34,480 --> 00:29:36,360 Speaker 1: could have this for just people you see on the 549 00:29:36,400 --> 00:29:39,920 Speaker 1: street too, But alright, take what you can get. That's 550 00:29:39,920 --> 00:29:42,080 Speaker 1: the important thing, you know, because Meggie, you are running 551 00:29:42,080 --> 00:29:47,920 Speaker 1: for government. Nicky Mackey, all right, we have a little 552 00:29:47,960 --> 00:29:52,520 Speaker 1: bit more on the Toronto attack. Uh so you know, 553 00:29:52,720 --> 00:29:55,040 Speaker 1: like we said race on Twitter, we're quick to call 554 00:29:55,120 --> 00:29:59,400 Speaker 1: the attacker terrorist and a g hottest and or then 555 00:29:59,480 --> 00:30:01,960 Speaker 1: have a debate eight over whether if an Armenian person 556 00:30:02,160 --> 00:30:04,520 Speaker 1: like what menascian the last name men and whether or 557 00:30:04,520 --> 00:30:07,680 Speaker 1: not that qualified as a white person. Tucker Carlson was like, 558 00:30:07,760 --> 00:30:10,600 Speaker 1: how could you say that he's not a gee hottest already? 559 00:30:10,760 --> 00:30:12,760 Speaker 1: Like and he he wanted to leave it open to 560 00:30:13,600 --> 00:30:17,200 Speaker 1: this being about terrorism. Uh So we do now know 561 00:30:17,480 --> 00:30:20,560 Speaker 1: that it essentially was about terrorism, but it wasn't for 562 00:30:20,840 --> 00:30:24,000 Speaker 1: the thing that they like to be afraid of. It 563 00:30:24,120 --> 00:30:29,200 Speaker 1: was about a guy who is in cell involuntary celibate, 564 00:30:29,960 --> 00:30:33,040 Speaker 1: who hates women because they won't have sex with him. 565 00:30:33,600 --> 00:30:35,200 Speaker 1: Have you heard of the in cell community? Um, I 566 00:30:35,320 --> 00:30:38,160 Speaker 1: just if you're celibate doesn't mean you're choosing. We'll see 567 00:30:38,160 --> 00:30:41,479 Speaker 1: there's val cells, there's voluntary celibacy, and then there's in cells, 568 00:30:41,640 --> 00:30:44,480 Speaker 1: which are involuntary celibacy. And those people look at the 569 00:30:44,560 --> 00:30:47,720 Speaker 1: world as why don't women want to fuck me? That's 570 00:30:47,720 --> 00:30:51,880 Speaker 1: why I'm celibate because I'm fuckable And fuck fuck these people, 571 00:30:51,920 --> 00:30:54,520 Speaker 1: fuck these alpha males who get the women or whatever, 572 00:30:54,680 --> 00:30:57,800 Speaker 1: and they're just angry at just essentially women for not 573 00:30:57,880 --> 00:30:59,400 Speaker 1: having sex. But I mean, I've just seen some of 574 00:30:59,440 --> 00:31:01,800 Speaker 1: the sad men get late though. You know it's like 575 00:31:01,880 --> 00:31:03,719 Speaker 1: I just don't tell. I don't I don't think, well, 576 00:31:03,960 --> 00:31:07,760 Speaker 1: I don't know, come on, honey, get out there. You know. 577 00:31:07,840 --> 00:31:09,800 Speaker 1: I mean like they're there are groups on like four chain, 578 00:31:09,920 --> 00:31:12,960 Speaker 1: lady deal with this stuff. Yeah, and and it's sort 579 00:31:13,000 --> 00:31:15,920 Speaker 1: of this He even posted on Facebook which was now 580 00:31:16,000 --> 00:31:17,160 Speaker 1: like a lot of people were saying it was it 581 00:31:17,200 --> 00:31:18,920 Speaker 1: could have been a hoax or whatever. That he was 582 00:31:18,960 --> 00:31:22,240 Speaker 1: basically talking about how the in Cell rebellion has already begun, 583 00:31:22,720 --> 00:31:24,200 Speaker 1: and a lot of the way these people are talking 584 00:31:24,200 --> 00:31:26,120 Speaker 1: about in the community, they all worship that guy Elliott 585 00:31:26,200 --> 00:31:29,120 Speaker 1: Roger well at ucs B who and they're praising this 586 00:31:29,240 --> 00:31:31,840 Speaker 1: guy who did the truck attack and Elliott Roger who 587 00:31:32,120 --> 00:31:35,640 Speaker 1: shot up UCSB and a bunch of sororities that had 588 00:31:35,680 --> 00:31:40,360 Speaker 1: pretty women in him as st Rogers and sat Menaggian 589 00:31:40,720 --> 00:31:43,720 Speaker 1: and yeah, before he went on this rampage, like ten 590 00:31:43,760 --> 00:31:47,760 Speaker 1: minutes before, this guy tweeted the in Cell rebellion has 591 00:31:47,760 --> 00:31:51,480 Speaker 1: already begun. We will overthrow all Chad's and Stacy's. Chad 592 00:31:51,840 --> 00:31:55,480 Speaker 1: is their word for like good looking guys who have sex, 593 00:31:55,800 --> 00:31:58,600 Speaker 1: and Stacy's are good looking women who won't have sex 594 00:31:58,720 --> 00:32:01,160 Speaker 1: with them. And then they said, all hail the supreme 595 00:32:01,200 --> 00:32:05,960 Speaker 1: Gentleman Elliot Rogers. So these are like granted their deeply 596 00:32:06,600 --> 00:32:11,080 Speaker 1: disturbed people deeply disturbed and also using all the language 597 00:32:11,200 --> 00:32:14,920 Speaker 1: of terrorism like you know, they're saying, spread his name, 598 00:32:15,040 --> 00:32:18,040 Speaker 1: speak of his sacrifice for our cause, Worship him for 599 00:32:18,240 --> 00:32:21,440 Speaker 1: he gave his life for our future. That's being posted 600 00:32:21,480 --> 00:32:25,240 Speaker 1: on in cell boards today. Like you're telling me that 601 00:32:25,400 --> 00:32:29,360 Speaker 1: if that was about you know, ISIS or al Qaeda, 602 00:32:29,640 --> 00:32:32,720 Speaker 1: like in the aftermath of a terror attack, that people 603 00:32:32,760 --> 00:32:35,760 Speaker 1: would not be freaking out and like banging that person's 604 00:32:35,840 --> 00:32:40,720 Speaker 1: door down. But they're just I think because uh, they're 605 00:32:41,120 --> 00:32:45,080 Speaker 1: mostly white kids, uh, and because it's sort of a 606 00:32:45,200 --> 00:32:50,280 Speaker 1: pathetic thing. Granted, most terrorists are part of an in 607 00:32:50,440 --> 00:32:53,760 Speaker 1: cell community, whether they admitted or not. Like a lot 608 00:32:53,840 --> 00:33:00,719 Speaker 1: of terrorists, terrorism organizations recruit young men who are sexual frustrated. 609 00:33:01,520 --> 00:33:05,040 Speaker 1: But the fact that these people define themselves by that, 610 00:33:05,560 --> 00:33:08,440 Speaker 1: and I think maybe makes them less threatened. Well, yeah, 611 00:33:08,440 --> 00:33:11,120 Speaker 1: and the whole rebellion is meant to basically say, if 612 00:33:11,360 --> 00:33:13,800 Speaker 1: if we act out our frustrations in the real world, 613 00:33:13,920 --> 00:33:16,840 Speaker 1: people will eventually begin to see our plight. Like they 614 00:33:16,960 --> 00:33:20,080 Speaker 1: have this talk of like their struggle, and I think 615 00:33:20,080 --> 00:33:22,320 Speaker 1: they're gonna have a tough time keeping members. I mean, 616 00:33:22,360 --> 00:33:24,840 Speaker 1: I think they need to take them seriously, especially if 617 00:33:24,880 --> 00:33:30,160 Speaker 1: they're doing some horrible, terrible, violent things. But it's like 618 00:33:30,480 --> 00:33:35,280 Speaker 1: you know, isis is recruiting based on like how terrible? Yeah, 619 00:33:35,360 --> 00:33:37,960 Speaker 1: and like this is like, oh, if you get fucked 620 00:33:38,000 --> 00:33:41,040 Speaker 1: one day, sorry, but you're out like Lee, you know, 621 00:33:41,360 --> 00:33:44,040 Speaker 1: and I'm sure some of them are fucking that's what's annoying. 622 00:33:44,120 --> 00:33:47,160 Speaker 1: It's like, I mean, it's a bigger than annoying obviously, 623 00:33:47,240 --> 00:33:50,640 Speaker 1: but it's like I don't I just go away, just 624 00:33:50,760 --> 00:33:53,080 Speaker 1: go away. It's just this yeah, like there are a 625 00:33:53,160 --> 00:33:55,080 Speaker 1: lot of these people, you know, like they come on 626 00:33:55,160 --> 00:33:56,800 Speaker 1: and sort of like to pick up artist world and 627 00:33:56,840 --> 00:33:59,000 Speaker 1: ship like that where it's all about sort of looking 628 00:33:59,040 --> 00:34:02,400 Speaker 1: at women as like non human like sort of cogs 629 00:34:02,440 --> 00:34:04,600 Speaker 1: in a machine that you if you manipulate property, you 630 00:34:04,640 --> 00:34:05,920 Speaker 1: can get it to work the way you want to. 631 00:34:06,600 --> 00:34:10,200 Speaker 1: It's hard to say that this thing isn't a movement, 632 00:34:10,280 --> 00:34:12,719 Speaker 1: although the people they talk like on post like, well, 633 00:34:12,760 --> 00:34:15,400 Speaker 1: we're not a movement, you clearly are like they're contradicting 634 00:34:15,400 --> 00:34:17,360 Speaker 1: post from other people saying like this is a movement 635 00:34:17,600 --> 00:34:20,600 Speaker 1: and these are struggles and this is people are clearly articulate. 636 00:34:21,040 --> 00:34:22,640 Speaker 1: I mean, I don't know if you can say someone 637 00:34:22,800 --> 00:34:26,120 Speaker 1: is smart who chooses to blame their like lack of 638 00:34:26,760 --> 00:34:30,279 Speaker 1: uh sexual partners on just the opposite sex that doesn't 639 00:34:30,280 --> 00:34:32,680 Speaker 1: strike me as a sign of intelligence. Then also hot 640 00:34:32,800 --> 00:34:36,000 Speaker 1: men too, or what they deem. I would love to 641 00:34:36,200 --> 00:34:37,879 Speaker 1: be like, what do you think as a hot man? 642 00:34:38,200 --> 00:34:40,960 Speaker 1: I'd have to see their opinion of a Chad. Well, 643 00:34:41,040 --> 00:34:42,839 Speaker 1: Chad is like a you know, like a built dude 644 00:34:42,920 --> 00:34:46,399 Speaker 1: to the strong chin yea, what cam you know? It's like, okay, 645 00:34:46,480 --> 00:34:48,919 Speaker 1: we're I mean, we're both we don't like Chad. Okay, 646 00:34:49,080 --> 00:34:51,759 Speaker 1: can we find some common ground there? Obviously women want 647 00:34:51,760 --> 00:34:54,960 Speaker 1: to have sex with a bodybuilder. Um, but yeah, they say, 648 00:34:55,000 --> 00:34:58,000 Speaker 1: the path to radicalization for them starts with the pickup 649 00:34:58,120 --> 00:35:02,360 Speaker 1: artist community. They try to use the you know, pseudo scientific, 650 00:35:02,640 --> 00:35:07,719 Speaker 1: dehumanizing seduction techniques, and when that doesn't work, they just 651 00:35:07,880 --> 00:35:12,120 Speaker 1: get so angry. That's how Elliott Roger went down before 652 00:35:12,200 --> 00:35:14,800 Speaker 1: he went on a shooting spree. He was venting about 653 00:35:14,880 --> 00:35:18,200 Speaker 1: the pickup artist community and how they had failed him. Right. Well, 654 00:35:18,280 --> 00:35:21,440 Speaker 1: because the way that ship works, it really is like 655 00:35:21,560 --> 00:35:23,400 Speaker 1: when it began, it was like, hey, you don't know 656 00:35:23,520 --> 00:35:25,759 Speaker 1: how to talk to women. It's because you don't talk 657 00:35:25,840 --> 00:35:28,239 Speaker 1: to them. You've got to do this sequence of sentences 658 00:35:28,480 --> 00:35:31,239 Speaker 1: and then they'll be so hypnotized that they're gonna fuck. 659 00:35:31,600 --> 00:35:34,359 Speaker 1: And so when people sell somebody on that, these people 660 00:35:34,440 --> 00:35:36,319 Speaker 1: really hang on that and think that is really going 661 00:35:36,400 --> 00:35:39,000 Speaker 1: to change their life. And it's just such a fucking 662 00:35:40,080 --> 00:35:42,759 Speaker 1: odd problem. And it's such a problem with like masculinity. 663 00:35:42,840 --> 00:35:45,239 Speaker 1: It's flawed from the get go because they don't see 664 00:35:45,280 --> 00:35:48,480 Speaker 1: women as human beings. Like there isn't a formula to 665 00:35:48,600 --> 00:35:51,799 Speaker 1: talk to all men, all women, all don't like they're 666 00:35:51,800 --> 00:35:55,000 Speaker 1: just even the fucking dog whisper doesn't work sometimes, you know, 667 00:35:55,160 --> 00:35:58,239 Speaker 1: like we're human beings, you talk to us, it's just 668 00:35:58,400 --> 00:36:01,000 Speaker 1: like we're being killed. If we've people were being killed 669 00:36:01,040 --> 00:36:03,759 Speaker 1: that we don't, it's just like what what right? It 670 00:36:03,840 --> 00:36:07,000 Speaker 1: makes me afraid that they will like go on apps 671 00:36:07,160 --> 00:36:10,080 Speaker 1: and like we'll seek out victims in that way. Well 672 00:36:10,160 --> 00:36:12,359 Speaker 1: that's the other thing that people were concerned about because 673 00:36:12,360 --> 00:36:14,279 Speaker 1: I know, like on a couple of writeups, people were 674 00:36:14,320 --> 00:36:16,960 Speaker 1: sort of looking on these boards and they do regularly 675 00:36:17,040 --> 00:36:19,880 Speaker 1: talk about how to get away with like assaulting somebody 676 00:36:20,040 --> 00:36:24,080 Speaker 1: or like you know, rape or whatever. And that's why again, 677 00:36:24,360 --> 00:36:26,520 Speaker 1: if you have a message board where people are like 678 00:36:26,680 --> 00:36:29,200 Speaker 1: praising the acts of Osama bin Laden or other people, 679 00:36:29,760 --> 00:36:32,520 Speaker 1: uh that you would say, okay, hold on, like what's 680 00:36:32,760 --> 00:36:34,640 Speaker 1: what's the energy going on over here? And what like 681 00:36:34,719 --> 00:36:36,759 Speaker 1: where are they trying to go? But it's clear that 682 00:36:37,080 --> 00:36:39,440 Speaker 1: this is not the only attack of somebody who had 683 00:36:39,480 --> 00:36:42,040 Speaker 1: a similar motive about like this sort of anger at 684 00:36:42,080 --> 00:36:44,680 Speaker 1: the world in society at large for their their lack 685 00:36:44,760 --> 00:36:47,839 Speaker 1: of sexual connection, because you look at like the Charlottesville 686 00:36:47,880 --> 00:36:49,680 Speaker 1: crew and you're like, well, they're not sucking either, you know, 687 00:36:49,800 --> 00:36:52,000 Speaker 1: like a lot none of these people are sucking. I mean, 688 00:36:52,040 --> 00:36:54,560 Speaker 1: and if they are, it's not great. The just the 689 00:36:56,040 --> 00:36:59,000 Speaker 1: front right, I'd say the same thing is true of 690 00:36:59,040 --> 00:37:02,279 Speaker 1: the nine eleven hyjackers. They probably weren't having tons of sex, 691 00:37:02,400 --> 00:37:04,680 Speaker 1: which is why you could convince them to fly plane 692 00:37:04,719 --> 00:37:07,800 Speaker 1: into a building and say because once you do that, 693 00:37:07,960 --> 00:37:11,400 Speaker 1: you'll be able to have sex with women in heaven 694 00:37:11,560 --> 00:37:14,120 Speaker 1: or whatever. I think that's probably the next evolution of 695 00:37:14,160 --> 00:37:18,480 Speaker 1: this conversation is now talking about these communities and really 696 00:37:18,840 --> 00:37:20,640 Speaker 1: having to look at them to like the lens of 697 00:37:20,719 --> 00:37:23,880 Speaker 1: law enforcement, like this is this like if you're if 698 00:37:23,960 --> 00:37:27,800 Speaker 1: their aim as a community is to get people scared 699 00:37:27,920 --> 00:37:29,920 Speaker 1: or to fall in line or be like, hey, these 700 00:37:29,960 --> 00:37:33,480 Speaker 1: people who are involuntarily celibate, we are victims and you 701 00:37:33,520 --> 00:37:35,280 Speaker 1: need to hear us or we will get our message 702 00:37:35,280 --> 00:37:38,680 Speaker 1: out by taking lives, Like yeah, I mean that's every 703 00:37:38,800 --> 00:37:42,120 Speaker 1: terrorist organization. And now we have two mass murders that 704 00:37:42,600 --> 00:37:46,600 Speaker 1: were basically motivated by this ideology. So it seems like 705 00:37:46,840 --> 00:37:50,040 Speaker 1: we should be taking them fairly seriously. But I doubt 706 00:37:50,080 --> 00:37:52,799 Speaker 1: that's going to happen. So we also wanted to take 707 00:37:52,840 --> 00:37:56,920 Speaker 1: a look at Sean Hannity and his real estate empire. 708 00:37:57,440 --> 00:38:02,759 Speaker 1: Uh So it came out that he basically owns eight 709 00:38:02,880 --> 00:38:07,880 Speaker 1: hundred and seventy homes in seven states, what which You know, 710 00:38:08,160 --> 00:38:11,560 Speaker 1: he had talked about how Michael Cohen helped him with 711 00:38:11,680 --> 00:38:15,000 Speaker 1: real estate stuff, and you assumed it was like, yeah, hey, 712 00:38:15,040 --> 00:38:17,440 Speaker 1: could you look at this contract for with my landlord 713 00:38:17,600 --> 00:38:19,440 Speaker 1: for me or something like the foundation might have a 714 00:38:19,480 --> 00:38:20,880 Speaker 1: crack in it. Should I go through with this? So 715 00:38:21,040 --> 00:38:23,920 Speaker 1: he's bought like entire like con Yeah, so the thing 716 00:38:24,040 --> 00:38:26,000 Speaker 1: is he then the Guardian there was a report that 717 00:38:26,080 --> 00:38:27,759 Speaker 1: showed that he basically is in control of these shell 718 00:38:27,880 --> 00:38:32,400 Speaker 1: companies that have spent at least ninety million dollars on 719 00:38:33,160 --> 00:38:35,920 Speaker 1: like properties that are mostly distressed home like you know, 720 00:38:36,160 --> 00:38:38,120 Speaker 1: homes are about to before closed on. And it was 721 00:38:38,200 --> 00:38:40,839 Speaker 1: just like mass purchasing them. I think he has two 722 00:38:40,920 --> 00:38:44,799 Speaker 1: condos that actually have agreements with HUD with the Housing 723 00:38:44,840 --> 00:38:48,160 Speaker 1: and Urban Development Department. Uh. Which also makes it weird 724 00:38:48,200 --> 00:38:50,040 Speaker 1: when you have Ben Carson on your show and you 725 00:38:50,360 --> 00:38:52,800 Speaker 1: know you're praising him but not disclosing. It's like, I, 726 00:38:52,880 --> 00:38:54,879 Speaker 1: let's have some buildings that you know, Fox News trying 727 00:38:54,880 --> 00:38:57,759 Speaker 1: to get in that h G TV business and he's 728 00:38:57,760 --> 00:39:02,520 Speaker 1: going to be flip or flop or flog. So you 729 00:39:02,600 --> 00:39:04,640 Speaker 1: have Ben Carson on what did he talk to him about? 730 00:39:04,760 --> 00:39:06,560 Speaker 1: They're just it was just kind of, oh, how great 731 00:39:06,600 --> 00:39:07,759 Speaker 1: of a job you do it? Just like you know, 732 00:39:07,920 --> 00:39:10,120 Speaker 1: it's just like a softball thing, like just making them 733 00:39:10,200 --> 00:39:14,160 Speaker 1: look really publicity for the housing exactly when Ben Carson 734 00:39:14,320 --> 00:39:18,000 Speaker 1: is fucking up in an insane amount. Uh. And then 735 00:39:18,040 --> 00:39:20,800 Speaker 1: but also then we find out that not necessarily that 736 00:39:20,880 --> 00:39:24,040 Speaker 1: Ben Carson, uh, like you know, put these new regulations 737 00:39:24,080 --> 00:39:27,800 Speaker 1: into effect that the same buildings that Handity owns, like 738 00:39:27,840 --> 00:39:31,239 Speaker 1: they're part of a program that in ten like you know, 739 00:39:31,400 --> 00:39:33,680 Speaker 1: they will be allowed to turn it from like subsidized 740 00:39:33,719 --> 00:39:37,200 Speaker 1: housing units into condominiums that they can just package and 741 00:39:37,360 --> 00:39:40,080 Speaker 1: sell on their own. So before it was like okay, 742 00:39:40,120 --> 00:39:42,239 Speaker 1: well look we'll give you these loans, we'll subsidize the 743 00:39:42,280 --> 00:39:44,960 Speaker 1: housing if you're allowing people to stay there because they 744 00:39:45,040 --> 00:39:48,080 Speaker 1: need like cheaper housing. But then they're saying, but look, 745 00:39:48,160 --> 00:39:49,839 Speaker 1: just wait a couple of years and then you can 746 00:39:49,880 --> 00:39:52,680 Speaker 1: flip the building everybody and then nobody has to lived 747 00:39:52,680 --> 00:39:54,080 Speaker 1: there and then they can figure it out on their own, 748 00:39:54,160 --> 00:39:56,759 Speaker 1: so that we in that instances, HUD, we're like, we 749 00:39:57,000 --> 00:40:01,160 Speaker 1: will help finance this so that we have cheap housing. 750 00:40:01,400 --> 00:40:04,359 Speaker 1: And then yeah, but that's not necessarily the entire game 751 00:40:04,440 --> 00:40:08,480 Speaker 1: of HUD. But like that's just good. Yeah, they're supposed 752 00:40:08,480 --> 00:40:11,960 Speaker 1: to be good. They're trying to That's what's That's what 753 00:40:12,120 --> 00:40:14,680 Speaker 1: kind of makes it more infuriating when Sean Hannity goes 754 00:40:14,800 --> 00:40:17,200 Speaker 1: up there and it's just that disingenuous, right, and just 755 00:40:17,320 --> 00:40:20,000 Speaker 1: talking about how great Ben Carson is at his job 756 00:40:20,120 --> 00:40:22,840 Speaker 1: when yeah, like you said that, HUD is supposed to 757 00:40:22,920 --> 00:40:26,319 Speaker 1: be the good guys who are helping poor people who 758 00:40:26,440 --> 00:40:29,960 Speaker 1: like need places to live, and instead, uh, even this 759 00:40:30,120 --> 00:40:34,520 Speaker 1: morning there was a news alert that he was suggesting 760 00:40:34,680 --> 00:40:40,560 Speaker 1: that they raised the rent in subsidized housing, in subsidized 761 00:40:40,600 --> 00:40:43,920 Speaker 1: housing and make people like get jobs in order to 762 00:40:44,400 --> 00:40:48,680 Speaker 1: live in places. So basically His read on the situation is, well, 763 00:40:48,760 --> 00:40:51,080 Speaker 1: these poor people are just too lazy. Well yeah, I 764 00:40:51,120 --> 00:40:54,160 Speaker 1: mean that's that's how all conservatives think though, like everything 765 00:40:54,239 --> 00:40:58,920 Speaker 1: is hand Yeah, just smoke me to fu makeabies. So, 766 00:40:59,120 --> 00:41:02,719 Speaker 1: I mean he is part of this huge trend which 767 00:41:02,800 --> 00:41:08,319 Speaker 1: all comes from the financial crisis in oh eight oh seven, 768 00:41:08,360 --> 00:41:11,799 Speaker 1: oh eight, uh, where you know, lots of people lost 769 00:41:11,840 --> 00:41:15,760 Speaker 1: their homes, their homes were foreclosed on, and Wall Street 770 00:41:16,000 --> 00:41:19,600 Speaker 1: just bought up all of these houses and then started 771 00:41:19,719 --> 00:41:24,120 Speaker 1: renting them out to people for you know, hiked up rents. 772 00:41:24,680 --> 00:41:26,839 Speaker 1: So a lot of people in Wall Street are making 773 00:41:26,920 --> 00:41:30,520 Speaker 1: money off of these home foreclosures that they caused in 774 00:41:30,600 --> 00:41:33,839 Speaker 1: the first place. But they see a financial crisis as 775 00:41:33,920 --> 00:41:37,120 Speaker 1: an opportunity to make more money off of people who 776 00:41:37,160 --> 00:41:40,040 Speaker 1: are in crisis. Everyone has I don't I don't even 777 00:41:40,080 --> 00:41:41,920 Speaker 1: know who I meaning when I say everyone, but like 778 00:41:42,480 --> 00:41:45,080 Speaker 1: I've heard from multiple people in the real estate world 779 00:41:45,080 --> 00:41:47,279 Speaker 1: they're like, another crash is coming and I'm like, no, 780 00:41:47,400 --> 00:41:50,719 Speaker 1: I thought that you had to put down and then 781 00:41:50,760 --> 00:41:53,280 Speaker 1: and they're like, oh no, no, no, no, like it's coming. 782 00:41:53,520 --> 00:41:55,400 Speaker 1: Like if you want to buy a house, wait three 783 00:41:55,480 --> 00:41:58,040 Speaker 1: years because it's bottoming out again. And it's I don't 784 00:41:58,040 --> 00:41:59,800 Speaker 1: know if it's gonna be as bad as oh seven 785 00:41:59,840 --> 00:42:02,400 Speaker 1: and away, but like a new wave of it, Like 786 00:42:02,920 --> 00:42:05,520 Speaker 1: prices in New York have already started to drop, and 787 00:42:05,719 --> 00:42:08,440 Speaker 1: that's like an indication of like, oh fuck, it's going 788 00:42:08,520 --> 00:42:11,560 Speaker 1: to happen. Yeah. Well, I mean the thing with these companies, 789 00:42:11,600 --> 00:42:15,720 Speaker 1: like especially you know, Blackstone is like this huge private 790 00:42:15,760 --> 00:42:18,080 Speaker 1: equity company that they have, they're like one of the 791 00:42:18,200 --> 00:42:21,319 Speaker 1: biggest offenders like of this sort of trend. Yeah, well 792 00:42:21,360 --> 00:42:24,480 Speaker 1: it means it sounds like a fucking as jam mcnev 793 00:42:24,520 --> 00:42:28,839 Speaker 1: says a Harry Potter bad guy. Yeah, these companies they're 794 00:42:28,880 --> 00:42:31,040 Speaker 1: kind of like, hey, look looking at Wall Street, like 795 00:42:31,120 --> 00:42:33,800 Speaker 1: we have an opportunity just buy all these houses that 796 00:42:33,920 --> 00:42:36,800 Speaker 1: are like going on the cheap. And in some cases, 797 00:42:36,840 --> 00:42:39,000 Speaker 1: like someone that Hannity was in business when he went 798 00:42:39,040 --> 00:42:42,520 Speaker 1: to jail for like artificially tanking prices at these auctions 799 00:42:42,560 --> 00:42:44,839 Speaker 1: to be able to buy them at lower prices. Who 800 00:42:45,000 --> 00:42:47,279 Speaker 1: like once those houses about, that's money that probably could 801 00:42:47,320 --> 00:42:49,919 Speaker 1: have gone to the homeowner, probably to pay back their debt. 802 00:42:49,960 --> 00:42:52,120 Speaker 1: But anyway, and that guy went to jail. But that's aside. 803 00:42:52,160 --> 00:42:54,279 Speaker 1: The point. The thing is a sort of thing that's 804 00:42:54,320 --> 00:42:59,080 Speaker 1: happening is there taking these foreclosed on homes and basically 805 00:42:59,160 --> 00:43:02,640 Speaker 1: buying them up cheap and taking away these assets from 806 00:43:02,920 --> 00:43:06,040 Speaker 1: the people who were victimized by the financial crisis. So 807 00:43:06,480 --> 00:43:09,480 Speaker 1: Sean Hannity is like the guy behind the guy behind 808 00:43:09,560 --> 00:43:12,759 Speaker 1: the guy like making shiploads of money off the people 809 00:43:12,800 --> 00:43:15,720 Speaker 1: who watch his show and are like, there's a normal, 810 00:43:15,880 --> 00:43:19,839 Speaker 1: everyday American right there in Hannity. He's making money off 811 00:43:19,880 --> 00:43:21,960 Speaker 1: of you and putting you out of your fucking home, 812 00:43:22,200 --> 00:43:24,080 Speaker 1: or even just saying, oh, you know, look at the 813 00:43:24,200 --> 00:43:27,919 Speaker 1: home ownership is going down, Obama, look at these foreclosure rates, 814 00:43:27,960 --> 00:43:30,160 Speaker 1: and it's like, my man, you are the destroyer. You 815 00:43:30,239 --> 00:43:33,240 Speaker 1: are the same person who is taking advantage of this situation. 816 00:43:33,680 --> 00:43:36,320 Speaker 1: I feel like there is sort of this dialogue of like, 817 00:43:36,560 --> 00:43:40,240 Speaker 1: home ownership is going down because our generation is like bad, 818 00:43:40,680 --> 00:43:44,080 Speaker 1: like we've ruined chain restaurants. It's like, okay, we don't 819 00:43:44,080 --> 00:43:46,840 Speaker 1: want to to It's like, yes, we are afraid to 820 00:43:46,920 --> 00:43:49,439 Speaker 1: buy home. That wasn't our fault. We were young kids. 821 00:43:49,440 --> 00:43:52,840 Speaker 1: We were just like in high school, college and buying 822 00:43:52,880 --> 00:43:56,319 Speaker 1: a home became this catastrophic, terrible thing. So yeah, now 823 00:43:56,360 --> 00:43:57,480 Speaker 1: we don't want to want to buy a home. And 824 00:43:57,640 --> 00:44:00,080 Speaker 1: there will be people that are forever renters. And guess what, 825 00:44:00,239 --> 00:44:02,560 Speaker 1: we didn't fucking make that happen. You guys did. And 826 00:44:02,640 --> 00:44:06,160 Speaker 1: also the fact is the wages don't really match. Younger 827 00:44:06,280 --> 00:44:08,879 Speaker 1: people aren't making the kind of money you even need 828 00:44:08,960 --> 00:44:11,560 Speaker 1: to begin thinking about buying a home. It's depending on 829 00:44:11,600 --> 00:44:13,360 Speaker 1: where you If you live in a huge urban center, 830 00:44:13,520 --> 00:44:15,239 Speaker 1: I mean clearly there are other places where it is 831 00:44:15,360 --> 00:44:18,040 Speaker 1: more achievable, but like for example, California, New York, I 832 00:44:18,080 --> 00:44:21,359 Speaker 1: mean you can't in the city. Yeah, it's it's every 833 00:44:21,600 --> 00:44:23,640 Speaker 1: big cities. It's a huge thing. And you know, when 834 00:44:23,680 --> 00:44:25,520 Speaker 1: they look at like when a lot of these houses 835 00:44:25,600 --> 00:44:28,520 Speaker 1: went to auction, when they're being foreclosed on, you know, 836 00:44:28,640 --> 00:44:30,520 Speaker 1: you'd have people who are trying to buy a house, 837 00:44:30,600 --> 00:44:33,040 Speaker 1: like maybe first time homeowners who you know, like maybe 838 00:44:33,080 --> 00:44:35,359 Speaker 1: you're people of color who had a really hard time 839 00:44:35,400 --> 00:44:37,560 Speaker 1: buying a home. You have these Wall Street people come 840 00:44:37,600 --> 00:44:40,239 Speaker 1: in with cash up front and go, we'll buy this 841 00:44:40,280 --> 00:44:43,239 Speaker 1: ship for cash right now. And that's already puts people 842 00:44:43,280 --> 00:44:44,840 Speaker 1: who are traditionally trying to buy a home at a 843 00:44:45,080 --> 00:44:48,120 Speaker 1: tremendous disadvantage. So when they buy up all these houses, 844 00:44:48,400 --> 00:44:52,319 Speaker 1: they amass this like massive revenue stream of just renters. Uh. 845 00:44:52,400 --> 00:44:55,040 Speaker 1: And then they've also started selling the bonds of taking 846 00:44:55,080 --> 00:44:57,680 Speaker 1: all the rent that's being paid and selling that off too, 847 00:44:58,120 --> 00:45:01,439 Speaker 1: and that into a bond where I guess is more 848 00:45:02,120 --> 00:45:06,880 Speaker 1: sort of predictable than the you know, mortgage that they 849 00:45:06,960 --> 00:45:09,480 Speaker 1: had before, like all those shitty mortgages they had before. 850 00:45:09,600 --> 00:45:13,800 Speaker 1: But uh, you know, when you have a home that 851 00:45:13,960 --> 00:45:16,439 Speaker 1: is essentially owned and like tied up in a Wall 852 00:45:16,480 --> 00:45:19,520 Speaker 1: Street bond, like your landlord does not give a funk 853 00:45:19,520 --> 00:45:22,160 Speaker 1: about you, like they're not in it to help you out, 854 00:45:22,280 --> 00:45:25,040 Speaker 1: and like there are all these horror stories of people 855 00:45:25,160 --> 00:45:28,520 Speaker 1: who you know, have who are paying rent for these 856 00:45:28,560 --> 00:45:32,879 Speaker 1: houses that are owned by giant private equity firms, who 857 00:45:33,120 --> 00:45:35,040 Speaker 1: like there will be a crack in their ceiling and 858 00:45:35,040 --> 00:45:37,760 Speaker 1: they'll be like, it's getting worse, it's getting worse, guys, 859 00:45:38,200 --> 00:45:40,080 Speaker 1: nobody's been by to look at it. And then they're 860 00:45:40,239 --> 00:45:43,040 Speaker 1: fucking ceiling caves in or like one where there was 861 00:45:43,080 --> 00:45:46,840 Speaker 1: like water squirting through a light fixture. Um, so it 862 00:45:46,960 --> 00:45:50,200 Speaker 1: just seems dangerous. Live wire with water shoot down. Yeah, 863 00:45:50,200 --> 00:45:51,880 Speaker 1: that sounds fine. And then you try and call your 864 00:45:51,920 --> 00:45:55,120 Speaker 1: landley like sorry, look, we're way too massive to look 865 00:45:55,200 --> 00:45:58,000 Speaker 1: at the actual renters. And that's a problem too, because 866 00:45:58,239 --> 00:46:01,560 Speaker 1: if if the renters are not satisfied, they will leave, 867 00:46:02,000 --> 00:46:04,080 Speaker 1: and now that is going to affect the rent that's 868 00:46:04,080 --> 00:46:06,760 Speaker 1: being paid on those properties. Like part of those bonds 869 00:46:06,800 --> 00:46:08,840 Speaker 1: being healthy too is that you can keep people actually 870 00:46:08,880 --> 00:46:11,040 Speaker 1: in those units, are in those homes. And if they're 871 00:46:11,040 --> 00:46:12,880 Speaker 1: not doing that, that's why a lot of critics are saying, like, 872 00:46:13,160 --> 00:46:15,200 Speaker 1: if you can't even keep people happy or safe in 873 00:46:15,239 --> 00:46:18,320 Speaker 1: their homes, how do you expect to maintain you not 874 00:46:18,400 --> 00:46:21,520 Speaker 1: have super high turnover without a real plan to address that, 875 00:46:21,760 --> 00:46:24,200 Speaker 1: maybe we all got to stay in. Like on a Tuesday, 876 00:46:24,239 --> 00:46:27,600 Speaker 1: and rewatch The Big Short, because it's like that just 877 00:46:27,840 --> 00:46:30,680 Speaker 1: came out we already. I mean I haven't seen it. 878 00:46:30,760 --> 00:46:33,800 Speaker 1: I've fallen asleep three different times trying to watch it 879 00:46:33,880 --> 00:46:36,880 Speaker 1: on a plane. Um, it's a tough plane movie. But 880 00:46:37,040 --> 00:46:39,239 Speaker 1: it's like, I think it's about this. I think we 881 00:46:39,360 --> 00:46:41,759 Speaker 1: need to I think we need to regroup because if 882 00:46:41,800 --> 00:46:44,800 Speaker 1: this happens again, it's gonna be pretty embarrassing, right And 883 00:46:44,880 --> 00:46:47,239 Speaker 1: Like and one of the reports they say that, like, 884 00:46:47,400 --> 00:46:49,560 Speaker 1: you know, the difference with these sort of other these 885 00:46:49,719 --> 00:46:51,520 Speaker 1: bonds that they're selling now is like, you know, when 886 00:46:51,560 --> 00:46:55,239 Speaker 1: banks will repossess a mortgaged home as collateral, there's at 887 00:46:55,360 --> 00:46:59,520 Speaker 1: least the assumption that the homeowner has probably defaulted on 888 00:46:59,600 --> 00:47:01,360 Speaker 1: the more it and then it makes sense for this 889 00:47:01,560 --> 00:47:04,280 Speaker 1: person to be you know, to be ousted or evicted 890 00:47:04,320 --> 00:47:06,960 Speaker 1: from their home. Whereas like in these bonds, like if 891 00:47:07,000 --> 00:47:09,640 Speaker 1: a bond blows up, so many families are tied up 892 00:47:09,680 --> 00:47:11,920 Speaker 1: in them, like one bond melting down could lead to 893 00:47:11,920 --> 00:47:14,279 Speaker 1: a ton of evictions, just even if you never were 894 00:47:14,400 --> 00:47:17,800 Speaker 1: laid on your payments. So it's just a very weird situation. 895 00:47:17,880 --> 00:47:19,960 Speaker 1: I think, what you know, obviously it's not it's not 896 00:47:20,040 --> 00:47:23,719 Speaker 1: that Sean Hannity is exactly uh this company, but he's 897 00:47:23,880 --> 00:47:26,319 Speaker 1: employing the sort of same sort of tactics and uh 898 00:47:26,440 --> 00:47:29,160 Speaker 1: he saw the same lucrative opportunity to do this. And 899 00:47:29,320 --> 00:47:31,520 Speaker 1: people need to be aware that this company blacks and 900 00:47:31,520 --> 00:47:33,960 Speaker 1: I think they went up to eighty thousand single family homes. 901 00:47:34,480 --> 00:47:36,320 Speaker 1: That's a fucking racket, you know what I mean. And 902 00:47:36,440 --> 00:47:39,720 Speaker 1: people don't realize that. Wow, like even the housing market 903 00:47:39,840 --> 00:47:43,040 Speaker 1: created a new corporate overlord for your rent. It's like 904 00:47:43,080 --> 00:47:44,600 Speaker 1: they had their eyes on this ship from the start. 905 00:47:44,600 --> 00:47:46,640 Speaker 1: They're like that, well, look the market or bottom out 906 00:47:46,800 --> 00:47:48,560 Speaker 1: and we can just jump in with cash and buy 907 00:47:48,600 --> 00:47:51,520 Speaker 1: a massive amount of properties at once. President Trump has 908 00:47:51,680 --> 00:47:54,839 Speaker 1: even said before he was president, he said he sort 909 00:47:54,880 --> 00:47:57,800 Speaker 1: of hoped for a housing market crash, so quote people 910 00:47:57,920 --> 00:48:00,920 Speaker 1: like me will go in and buy like crazy. Z So, 911 00:48:01,200 --> 00:48:05,279 Speaker 1: I mean that's right, Yeah, that's kind of scary. All Right, 912 00:48:05,320 --> 00:48:07,160 Speaker 1: we're gonna take a quick break. We'll be right back, 913 00:48:15,920 --> 00:48:18,560 Speaker 1: and we're back. Uh yeah, So we're gonna hit a 914 00:48:18,680 --> 00:48:21,280 Speaker 1: couple of quick stories on our way out here. Federal 915 00:48:21,400 --> 00:48:25,680 Speaker 1: judge has said that this administration's attempt to sunset DOCCA 916 00:48:26,200 --> 00:48:29,279 Speaker 1: is actually like they never gave a reason for it, 917 00:48:29,560 --> 00:48:32,040 Speaker 1: and he's like, no, you can't just do that without 918 00:48:32,080 --> 00:48:35,360 Speaker 1: explaining why you want to do that. Essentially, it's a 919 00:48:35,719 --> 00:48:38,120 Speaker 1: crucial blow because essentially they're saying, well, now you've got 920 00:48:38,160 --> 00:48:41,239 Speaker 1: to accept new applications and renewal applications, and it kind 921 00:48:41,280 --> 00:48:43,200 Speaker 1: of helps bring the program back to how it was 922 00:48:43,360 --> 00:48:47,440 Speaker 1: during the Obama administration. I just thought about, like when 923 00:48:47,480 --> 00:48:49,279 Speaker 1: they get news, do you think that you remember like 924 00:48:49,360 --> 00:48:51,080 Speaker 1: the Staples button? Do you think they have a button? 925 00:48:51,120 --> 00:48:53,640 Speaker 1: It's like, oh, man, like they were just like they're 926 00:48:53,680 --> 00:48:56,400 Speaker 1: always like, no, you guys who can't do that, and 927 00:48:56,440 --> 00:48:58,759 Speaker 1: then they go back and they're like and they're like, no, 928 00:48:59,280 --> 00:49:01,040 Speaker 1: you can't. They're like, I'm sorry, what was your reason 929 00:49:01,080 --> 00:49:03,640 Speaker 1: to like, well, someone might have sued and and that 930 00:49:03,680 --> 00:49:06,239 Speaker 1: would end. So we're like fuck it, and the judges like, 931 00:49:06,280 --> 00:49:09,440 Speaker 1: I'm excuse. I just feel like every workplace that I've 932 00:49:09,480 --> 00:49:12,440 Speaker 1: ever been or like in has some sort of like 933 00:49:12,600 --> 00:49:15,880 Speaker 1: fun gag. You guys have that Jersey Shore. Does the 934 00:49:15,960 --> 00:49:18,960 Speaker 1: Trump White House have any fun levity? Is there like 935 00:49:19,080 --> 00:49:22,319 Speaker 1: Chaco Tuesday? Oh? They all vape. There's there's a there's 936 00:49:22,320 --> 00:49:24,759 Speaker 1: an office in the that's where the dead beats are. Yeah, 937 00:49:24,800 --> 00:49:27,080 Speaker 1: the dead there's an actual office of dead beats and 938 00:49:27,160 --> 00:49:29,799 Speaker 1: like like the nepotism hell, but it's like a bunch 939 00:49:29,800 --> 00:49:32,600 Speaker 1: of kids vaping which comes once a week. Yeah. He's 940 00:49:32,600 --> 00:49:33,640 Speaker 1: like and they're like, how did you get in here? 941 00:49:33,640 --> 00:49:43,759 Speaker 1: He's like, they can't kill me, baby, yeah. Yeah. Uh. 942 00:49:44,200 --> 00:49:49,360 Speaker 1: And so supermarkets are kind of fucked. Well yeah, maybe 943 00:49:50,280 --> 00:49:54,200 Speaker 1: there's like this like industry article where basically they were 944 00:49:54,320 --> 00:49:57,279 Speaker 1: urging like grocery store operators to be like, look, we 945 00:49:57,440 --> 00:50:00,920 Speaker 1: get that young people don't cook anymore. They've used things 946 00:50:01,000 --> 00:50:05,520 Speaker 1: like instat cart and Postmates and Amazon. So people. They're not. 947 00:50:05,680 --> 00:50:08,120 Speaker 1: They're younger people aren't going to grocery stores, but they 948 00:50:08,200 --> 00:50:11,439 Speaker 1: love restaurants and they're like why because they graham their food. 949 00:50:11,840 --> 00:50:16,080 Speaker 1: So their logic now to under other supermarket operators is like, man, 950 00:50:16,440 --> 00:50:18,200 Speaker 1: just make your store more grammable, baby, you know what 951 00:50:18,239 --> 00:50:21,400 Speaker 1: I mean. Let that boar's head turkey, that saw litle turkey. 952 00:50:21,800 --> 00:50:24,200 Speaker 1: Why don't we make a little carving out of that 953 00:50:24,320 --> 00:50:26,759 Speaker 1: or something. Anyway, it's crazy that their idea, because these 954 00:50:26,800 --> 00:50:29,000 Speaker 1: people are so old and out of ideas that they 955 00:50:29,080 --> 00:50:32,840 Speaker 1: think it's the lack of social media sexiness that is 956 00:50:32,920 --> 00:50:35,520 Speaker 1: contributing to it. You're thinking turkey sculptures is the way 957 00:50:35,600 --> 00:50:38,160 Speaker 1: to do that. I mean, look, if I saw you 958 00:50:38,200 --> 00:50:40,040 Speaker 1: know give away. You know what they should do is 959 00:50:40,120 --> 00:50:42,239 Speaker 1: like it should be free groceries. At it like a 960 00:50:42,400 --> 00:50:44,399 Speaker 1: like a set time, like you go on Twitter where 961 00:50:44,400 --> 00:50:46,200 Speaker 1: it's like the first time people to get in here. 962 00:50:46,280 --> 00:50:48,360 Speaker 1: Right now, get free groceries. Now you've got people going 963 00:50:48,400 --> 00:50:50,840 Speaker 1: to the stores, just don't. I just love grocery stores 964 00:50:51,000 --> 00:50:54,000 Speaker 1: like I love them. I loved being there. I love 965 00:50:54,120 --> 00:50:57,680 Speaker 1: the shelves and the aisles. I have a bagger friend 966 00:50:58,280 --> 00:51:02,239 Speaker 1: bag vans. These are that's my crew. Yeah, which which 967 00:51:03,280 --> 00:51:08,200 Speaker 1: Ralph's on Ventura and cold Water, and I tweet everyone 968 00:51:08,239 --> 00:51:11,040 Speaker 1: that works there is so lovely, so helpful, amazing. I've 969 00:51:11,080 --> 00:51:13,759 Speaker 1: tweeted at them multiple times just to be like I 970 00:51:13,920 --> 00:51:17,399 Speaker 1: love everybody and not even a favorite. They don't even 971 00:51:17,840 --> 00:51:20,080 Speaker 1: they don't care about me at all, And I'm like, Ralph's, 972 00:51:20,080 --> 00:51:21,560 Speaker 1: I just want to tell you're doing good works. You 973 00:51:21,640 --> 00:51:23,520 Speaker 1: know what's so funny there in the in this thing 974 00:51:23,600 --> 00:51:26,000 Speaker 1: they were another industry thing. They were pointing the fact that, 975 00:51:26,080 --> 00:51:28,080 Speaker 1: like you know, a lot of these stores have like 976 00:51:28,160 --> 00:51:30,840 Speaker 1: social media accounts, but only like a small number of 977 00:51:30,920 --> 00:51:33,239 Speaker 1: people actually follow them. So maybe that's another thing to 978 00:51:33,320 --> 00:51:36,000 Speaker 1: look into. Maybe they should be interacting with their hard 979 00:51:36,080 --> 00:51:39,320 Speaker 1: core customers like you would love it. I see their praises. 980 00:51:39,360 --> 00:51:43,719 Speaker 1: That's what's going to be sending you stuff after those 981 00:51:43,800 --> 00:51:46,040 Speaker 1: flips that are pretzels on one side, cracker on the other. 982 00:51:46,080 --> 00:51:50,560 Speaker 1: I'll take is the supermarket gonna go away? You know, 983 00:51:51,840 --> 00:51:54,319 Speaker 1: it's weird because it is the one rending away right 984 00:51:54,440 --> 00:51:57,399 Speaker 1: when you hear people come to America for the first time, 985 00:51:57,520 --> 00:51:59,840 Speaker 1: it is the one thing that they're just like, this 986 00:52:00,239 --> 00:52:03,680 Speaker 1: doesn't exist anywhere else. It's just like the most beautiful 987 00:52:03,760 --> 00:52:05,719 Speaker 1: thing to like see all like that you can have 988 00:52:05,920 --> 00:52:09,520 Speaker 1: like twenty different types of chocolate chip cookies like and 989 00:52:09,640 --> 00:52:12,560 Speaker 1: a thing like and like Trader Joe's isn't going to 990 00:52:12,600 --> 00:52:16,840 Speaker 1: go away anytime soon, you know, like are packed. Like 991 00:52:17,000 --> 00:52:18,920 Speaker 1: I guess it's like the Krogers of the world that 992 00:52:19,000 --> 00:52:22,000 Speaker 1: are trying to be like how to make this Kroger popping. Well, 993 00:52:22,040 --> 00:52:24,399 Speaker 1: I've noticed that the routes by my house now has 994 00:52:24,520 --> 00:52:28,160 Speaker 1: both a sushi bar in it and like a wine bar. Yeah, 995 00:52:28,280 --> 00:52:31,759 Speaker 1: wine bar, like super upscale like beer bar in it 996 00:52:31,920 --> 00:52:34,880 Speaker 1: for like people to you know, hang out and drink 997 00:52:35,040 --> 00:52:39,400 Speaker 1: next to the fucking produce sile, which is weird. But 998 00:52:39,680 --> 00:52:42,040 Speaker 1: I think that's the idea, is that you make it 999 00:52:42,200 --> 00:52:47,680 Speaker 1: this sort of upscale experience that I also nobody's I would, 1000 00:52:48,160 --> 00:52:49,239 Speaker 1: you know what I would do. I would go to 1001 00:52:49,280 --> 00:52:53,440 Speaker 1: a supermarket where all the ship was like meticulously placed, 1002 00:52:53,520 --> 00:52:55,600 Speaker 1: like someone with O. C. D arranged it, and like 1003 00:52:55,719 --> 00:52:58,040 Speaker 1: just to be like, damn, this motherfucker's perfect. That would 1004 00:52:58,040 --> 00:53:00,239 Speaker 1: appeal to me. And also, uh, you know, old stand 1005 00:53:00,280 --> 00:53:04,040 Speaker 1: up joke, but the fucking shopping cards they still don't work. Yeah, gross, 1006 00:53:04,239 --> 00:53:06,280 Speaker 1: And they're also like you might as well be wheeling 1007 00:53:06,320 --> 00:53:09,800 Speaker 1: around a trash dumpster because like they're never cleaned. So 1008 00:53:10,200 --> 00:53:12,400 Speaker 1: that's why I was when they started putting those like 1009 00:53:12,520 --> 00:53:15,200 Speaker 1: handwipe stations at the grocery show, was like, that's right. 1010 00:53:15,239 --> 00:53:17,840 Speaker 1: They even acknowledged that you are walking into a petri 1011 00:53:17,960 --> 00:53:20,160 Speaker 1: dish of back to you. My brother is a realtor 1012 00:53:20,320 --> 00:53:24,200 Speaker 1: and he like took out an ad on a supermarket 1013 00:53:24,560 --> 00:53:28,359 Speaker 1: handwipe station. Oh wow, that is smart. But I love 1014 00:53:28,400 --> 00:53:32,840 Speaker 1: a salad bar any restaurant with one, but a supermarket definitely. 1015 00:53:32,880 --> 00:53:38,759 Speaker 1: And do they make me sick sometimes? To make me 1016 00:53:38,840 --> 00:53:42,200 Speaker 1: sick sometimes, But I'm back there right you said it 1017 00:53:42,280 --> 00:53:44,920 Speaker 1: was such a genuine smile. It's I don't even care. 1018 00:53:44,920 --> 00:53:47,080 Speaker 1: I love it whatever. I love crab Louis. It's like 1019 00:53:47,120 --> 00:53:49,120 Speaker 1: pooping after talking about your like, I still like it. 1020 00:53:49,719 --> 00:53:51,840 Speaker 1: I'm still having problems, but I love it. Yeah, it 1021 00:53:51,920 --> 00:53:54,600 Speaker 1: makes me sick, but only for three days. Oh no, 1022 00:53:55,320 --> 00:53:57,759 Speaker 1: the clearing the system. This makes me think of So 1023 00:53:57,840 --> 00:54:01,680 Speaker 1: there was this article, uh recently, I don't remember what 1024 00:54:01,960 --> 00:54:04,880 Speaker 1: publication it was, but they said that supermarkets were the 1025 00:54:04,960 --> 00:54:09,439 Speaker 1: new place where people met others. Like you've been married, 1026 00:54:09,560 --> 00:54:11,719 Speaker 1: so you didn't even know how to describe a place 1027 00:54:11,760 --> 00:54:17,560 Speaker 1: where hook up hook up spot, which I don't think 1028 00:54:17,640 --> 00:54:20,960 Speaker 1: that's true necessarily. I've never seen people like start talking 1029 00:54:21,040 --> 00:54:24,240 Speaker 1: to each other at a supermarket who weren't already there together, 1030 00:54:24,640 --> 00:54:26,680 Speaker 1: And so I was like when I read that article, 1031 00:54:26,719 --> 00:54:29,279 Speaker 1: I was like, wait, why who's writing this? Like this 1032 00:54:29,480 --> 00:54:33,200 Speaker 1: is such bullshit? And I think it's probably whoever is 1033 00:54:33,360 --> 00:54:36,600 Speaker 1: behind this, like marketing push to like save supermarkets and 1034 00:54:36,680 --> 00:54:40,839 Speaker 1: make them grammable, probably like pitched that story or sent 1035 00:54:40,920 --> 00:54:44,120 Speaker 1: out a you know, press release that was like, you know, 1036 00:54:44,760 --> 00:54:47,960 Speaker 1: like supermarkets, or they did like some sort of small 1037 00:54:48,080 --> 00:54:51,080 Speaker 1: bullshit study with like a zero samples. Someone was like, 1038 00:54:51,160 --> 00:54:55,359 Speaker 1: we met at your store, now we're married. I think 1039 00:54:55,400 --> 00:54:57,440 Speaker 1: in l A that very much could be true, but 1040 00:54:57,560 --> 00:54:58,880 Speaker 1: I don't really And I've been to a lot of 1041 00:54:58,920 --> 00:55:01,640 Speaker 1: supermarkets in a lot of different markets, and I just 1042 00:55:01,760 --> 00:55:04,439 Speaker 1: don't see that being true. But here, people like look, 1043 00:55:05,239 --> 00:55:07,800 Speaker 1: especially during pilots season, oh my god, He'll go in 1044 00:55:07,880 --> 00:55:11,040 Speaker 1: and be like this bitch has heels on, and like wow, 1045 00:55:11,360 --> 00:55:14,720 Speaker 1: everybody is just meanwhile, you're in your LaVar ball hoodie 1046 00:55:15,080 --> 00:55:19,320 Speaker 1: to trot titties right, And I'm like, get it, okay, cool, 1047 00:55:19,560 --> 00:55:21,200 Speaker 1: I got to be doing that when I go to 1048 00:55:21,239 --> 00:55:23,880 Speaker 1: a supermarket. I'm so like in a zone and probably 1049 00:55:24,000 --> 00:55:26,000 Speaker 1: just like faded that I'm already not really trying to 1050 00:55:26,040 --> 00:55:27,680 Speaker 1: talk to people, Like I like the supermar because I 1051 00:55:27,719 --> 00:55:32,239 Speaker 1: just like to see everything and not interacting. It's not 1052 00:55:32,360 --> 00:55:34,200 Speaker 1: the interactive part of it that appeals to me. And 1053 00:55:34,239 --> 00:55:36,040 Speaker 1: also I just feel like, how could you even begin 1054 00:55:36,080 --> 00:55:37,920 Speaker 1: a conversation. I mean, if you're a pickup artist, they 1055 00:55:37,960 --> 00:55:40,400 Speaker 1: would be like neg the ship out of the woman's 1056 00:55:40,600 --> 00:55:43,080 Speaker 1: serial choice and then follow up with your name, like 1057 00:55:43,600 --> 00:55:47,879 Speaker 1: you we sinam toast CRUs. That's dumb. I'm jeff right. 1058 00:55:48,440 --> 00:55:52,719 Speaker 1: Maybe when you're in line or something, but yeah, I 1059 00:55:52,760 --> 00:55:56,160 Speaker 1: don't see. I feel like airports people there, people are 1060 00:55:56,280 --> 00:55:59,400 Speaker 1: ready to find a fairy. Where are they like a 1061 00:55:59,440 --> 00:56:01,880 Speaker 1: step ball? I think I think they establish it. But 1062 00:56:01,960 --> 00:56:04,800 Speaker 1: then also, oh my god, they're kissing in the produce 1063 00:56:04,840 --> 00:56:06,880 Speaker 1: superducer and Hosie and is showing us an article from 1064 00:56:06,880 --> 00:56:08,680 Speaker 1: the Wall Street Journal, and like the cover photo is 1065 00:56:08,719 --> 00:56:13,680 Speaker 1: just people making out in front of stock photo. Those 1066 00:56:13,719 --> 00:56:16,680 Speaker 1: are not two people who met at the supermarket. People 1067 00:56:16,719 --> 00:56:19,920 Speaker 1: who are like a middle aged married couple like kissing 1068 00:56:20,000 --> 00:56:21,879 Speaker 1: each other on the cheek, and they're like to see 1069 00:56:21,880 --> 00:56:23,880 Speaker 1: if this is the new hook up. And the headline 1070 00:56:23,880 --> 00:56:26,239 Speaker 1: on the article is the hottest social scene in town 1071 00:56:26,440 --> 00:56:30,960 Speaker 1: isn't the singles Bar, It's the Supermarket's Wall Street Journal. 1072 00:56:31,360 --> 00:56:34,320 Speaker 1: Who someone was like a man? Our stock is crumbling? 1073 00:56:34,360 --> 00:56:36,960 Speaker 1: Can you even lie slightly? Like? Yeah? For the Wall 1074 00:56:36,960 --> 00:56:38,759 Speaker 1: Street I think I see a lot of videos of 1075 00:56:38,880 --> 00:56:42,160 Speaker 1: old people meeting young people at the Superman. You know, 1076 00:56:42,280 --> 00:56:44,320 Speaker 1: like little kids hugging old people, and I think that 1077 00:56:44,440 --> 00:56:47,120 Speaker 1: type of interaction going on, Like there was like a 1078 00:56:47,200 --> 00:56:50,239 Speaker 1: girl who just was like waving at everybody and being 1079 00:56:50,320 --> 00:56:52,160 Speaker 1: like I love you or like and this old man 1080 00:56:52,280 --> 00:56:53,839 Speaker 1: had just been going through a tough time. I watch 1081 00:56:53,880 --> 00:56:57,000 Speaker 1: every single video about old people and they like created 1082 00:56:57,080 --> 00:57:00,000 Speaker 1: this beautiful friendship. I will send it to it. It's 1083 00:57:00,160 --> 00:57:02,480 Speaker 1: so amazing. His wife had died and he had just 1084 00:57:02,600 --> 00:57:06,200 Speaker 1: been like kind of a hermit grump and then met 1085 00:57:06,280 --> 00:57:08,600 Speaker 1: this like four year old girl and she changed his life. 1086 00:57:08,760 --> 00:57:11,360 Speaker 1: And they met out a supermarket, but her mom was 1087 00:57:11,440 --> 00:57:16,840 Speaker 1: with her. Yeah, of course, yet I was Yeah, he's 1088 00:57:16,960 --> 00:57:20,400 Speaker 1: yeah that the youthful exuberance made him believe again. Yeah, 1089 00:57:20,920 --> 00:57:26,960 Speaker 1: I love taking my son food shopping. Yeah yeah, yeah, 1090 00:57:27,480 --> 00:57:29,400 Speaker 1: he added one. Since the last time, you should try 1091 00:57:29,400 --> 00:57:33,000 Speaker 1: and get them a supermarket friend. Yeah, well we're out there, 1092 00:57:33,120 --> 00:57:35,080 Speaker 1: we're putting it out there, and these old people just 1093 00:57:35,120 --> 00:57:36,880 Speaker 1: started picking it up. But like, hey, hey, hey, what 1094 00:57:36,960 --> 00:57:40,120 Speaker 1: about him. Maybe maybe he's not old enough he's about 1095 00:57:40,160 --> 00:57:43,400 Speaker 1: to turn to but he's super into it, like he 1096 00:57:43,520 --> 00:57:46,480 Speaker 1: just like loves it's stimulating. Wow, it's so funny and 1097 00:57:46,600 --> 00:57:48,600 Speaker 1: not that you'd say that. That's the same reason why 1098 00:57:48,680 --> 00:57:51,120 Speaker 1: I went to supermarket because it's a bunch of to 1099 00:57:51,200 --> 00:57:53,680 Speaker 1: look at. And I hate when the labels, you know, 1100 00:57:53,760 --> 00:57:55,720 Speaker 1: I'm like, I like I revealed him a virgo, so 1101 00:57:55,800 --> 00:57:58,160 Speaker 1: I like the perfection. And you know, oh my god, 1102 00:57:58,160 --> 00:58:02,520 Speaker 1: a Japanese supermarket whoa ship is so properly laid out. 1103 00:58:02,800 --> 00:58:04,600 Speaker 1: Even if you have a local Japanese supermarket in your 1104 00:58:04,600 --> 00:58:06,600 Speaker 1: city in America, check it out because the way they 1105 00:58:06,640 --> 00:58:08,960 Speaker 1: are putting their ship on the shelves second to nine. 1106 00:58:09,680 --> 00:58:14,480 Speaker 1: All right, Megan, that's my plug for the Japanese supermarket industry. Megan, 1107 00:58:14,640 --> 00:58:17,520 Speaker 1: it has been a pleasure having you. Where can people 1108 00:58:17,720 --> 00:58:21,040 Speaker 1: find you? Oh my website is about to be up 1109 00:58:21,120 --> 00:58:23,680 Speaker 1: and running again. It got hacked by a type warn company, 1110 00:58:23,960 --> 00:58:28,120 Speaker 1: but I go for real. But I've gotten it back. 1111 00:58:28,520 --> 00:58:32,520 Speaker 1: I've been in a dispute and it's I now am 1112 00:58:32,640 --> 00:58:35,480 Speaker 1: the proud owner again of Megan Gailey dot com, so 1113 00:58:35,640 --> 00:58:37,760 Speaker 1: you can go there or my Instagram is better Megan 1114 00:58:37,800 --> 00:58:40,080 Speaker 1: Gailey and my Twitter is Megan Gailey. I'm on the 1115 00:58:40,200 --> 00:58:43,560 Speaker 1: road a lot in the next two months. So how 1116 00:58:43,600 --> 00:58:45,440 Speaker 1: you spell that Megan Gailey? I mean J and J 1117 00:58:45,560 --> 00:58:49,640 Speaker 1: allis quick? You you guys all got that? I'm sure 1118 00:58:49,880 --> 00:58:52,080 Speaker 1: Miles before can people find you? Oh? You can find 1119 00:58:52,120 --> 00:58:56,080 Speaker 1: me on Twitter and Instagram at Miles. You can find 1120 00:58:56,160 --> 00:58:59,160 Speaker 1: me on Twitter at Jack Underscore O'Brien. You can find 1121 00:58:59,440 --> 00:59:02,320 Speaker 1: us at daily zeitgeis on Twitter. We're at the Daily 1122 00:59:02,400 --> 00:59:04,960 Speaker 1: Zeygeist on Instagram. We have a Facebook fan page and 1123 00:59:05,160 --> 00:59:08,280 Speaker 1: a website Daily zeitgeis dot com, where we post our 1124 00:59:08,400 --> 00:59:12,880 Speaker 1: episodes and our foot We link off to the articles 1125 00:59:13,040 --> 00:59:16,600 Speaker 1: and information that we used in two Days episode, as 1126 00:59:16,680 --> 00:59:19,520 Speaker 1: well as the song we ride out on, which Miles, 1127 00:59:19,720 --> 00:59:21,640 Speaker 1: don't you tell him what that is? Okay? So I 1128 00:59:21,760 --> 00:59:24,800 Speaker 1: love this artist called sev Dliza. She is in Iranian 1129 00:59:25,040 --> 00:59:30,480 Speaker 1: Dutch singer. She's got like this spooky songstress five and 1130 00:59:30,800 --> 00:59:33,280 Speaker 1: I just found out that she put an album out 1131 00:59:33,360 --> 00:59:35,520 Speaker 1: last month and I didn't know, so I started listening 1132 00:59:35,520 --> 00:59:39,160 Speaker 1: to this morning the first track, fucking fever track. I'm 1133 00:59:39,160 --> 00:59:41,520 Speaker 1: not gonna lie to you guys. Sometimes Miles is playing 1134 00:59:41,560 --> 00:59:44,160 Speaker 1: the song that we're gonna ride out on, and you know, 1135 00:59:44,280 --> 00:59:46,360 Speaker 1: it doesn't necessarily jump out of me. This is one 1136 00:59:46,400 --> 00:59:47,720 Speaker 1: of the ones where I was I was like, Yo, 1137 00:59:47,800 --> 00:59:50,800 Speaker 1: who is this? That's how I know who's this? What 1138 00:59:50,960 --> 00:59:53,000 Speaker 1: is that? It sounds like, yeah, this is something you 1139 00:59:53,040 --> 00:59:55,720 Speaker 1: can put a bath on, like the candles to, you know, 1140 00:59:55,800 --> 00:59:58,840 Speaker 1: put your LaVar ball hoodie on yourself talk Yeah that 1141 00:59:59,160 --> 01:00:02,480 Speaker 1: bath fanger bathter uh. And this is yes, Billie's a 1142 01:00:02,520 --> 01:00:05,960 Speaker 1: new song called Soul Sinkable uh. And it's just it's 1143 01:00:06,000 --> 01:00:08,720 Speaker 1: just great. It's fine, you're gonna look all right if 1144 01:00:08,760 --> 01:00:10,560 Speaker 1: we're gonna write out on that. We will be back 1145 01:00:10,600 --> 01:00:12,840 Speaker 1: tomorrow because it is a daily podcast. Talk to you 1146 01:00:12,920 --> 01:01:27,360 Speaker 1: guys them. M cot On can say and see you 1147 01:01:27,880 --> 01:01:53,720 Speaker 1: go all skind way, I fi I didn't see SUSI 1148 01:02:04,080 --> 01:02:57,480 Speaker 1: se so sla all bo so sure and style so 1149 01:03:00,440 --> 01:03:31,960 Speaker 1: sure say say this s S S S S sinko 1150 01:03:32,120 --> 01:03:32,160 Speaker 1: for