1 00:00:00,080 --> 00:00:03,160 Speaker 1: Hello the Internet, and welcome to season sixty four, Episode 2 00:00:03,160 --> 00:00:06,000 Speaker 1: five of Them. There Daily's Eight Guys, the podcast where 3 00:00:06,000 --> 00:00:08,360 Speaker 1: we take a deep dive into America's share consciousness using 4 00:00:08,360 --> 00:00:12,480 Speaker 1: the headlines, box office reports, TV ratings, what's trending on Googles, 5 00:00:12,520 --> 00:00:17,480 Speaker 1: and so she me. It's Friday, January eleven. Happy one eleven, Everyone, 6 00:00:17,520 --> 00:00:20,279 Speaker 1: two thousand nineteen. My names Jack O'Brien, a K and 7 00:00:20,520 --> 00:00:26,400 Speaker 1: the Golden Globe. Brian goes to Bohemian Jacksony courtesy of 8 00:00:26,480 --> 00:00:28,360 Speaker 1: Trike Gang. And I'm thrilled to be joined as I 9 00:00:28,360 --> 00:00:32,519 Speaker 1: always buy my co host, Mr Miles Gray. Yes, that's right, 10 00:00:32,520 --> 00:00:37,040 Speaker 1: it's your boy, Your Boy Kusama Experimental Japanese black artist 11 00:00:37,600 --> 00:00:40,800 Speaker 1: a K All my children, I still like all my children. 12 00:00:41,320 --> 00:00:43,879 Speaker 1: That's a combo a K. I couldn't sing today. I 13 00:00:43,880 --> 00:00:47,479 Speaker 1: don't have the pipes for today. Weather can get you 14 00:00:47,560 --> 00:00:50,040 Speaker 1: some water and honey, some warm water and honey. Is 15 00:00:50,040 --> 00:00:52,919 Speaker 1: that the key? I don't know. I thought I thought 16 00:00:52,960 --> 00:00:57,120 Speaker 1: I heard that somewhere, just water, water and cold water 17 00:00:57,200 --> 00:00:59,200 Speaker 1: and honey. There you go. Well, We're thrilled to be 18 00:00:59,280 --> 00:01:03,160 Speaker 1: joined in third Teeth by the hilarious comedian Candice Thompson. 19 00:01:03,720 --> 00:01:08,800 Speaker 1: Hi guys, thanks for having me, Thank you for of course, 20 00:01:09,200 --> 00:01:13,200 Speaker 1: sorry that ignored you downstairs. I was so confused, Well, 21 00:01:13,240 --> 00:01:15,560 Speaker 1: what was it about me that was ignorable? And it 22 00:01:15,680 --> 00:01:18,160 Speaker 1: wasn't that it was ignorable. We had like inspectors in 23 00:01:18,200 --> 00:01:21,760 Speaker 1: the building, and then I was like, cold, you confuse 24 00:01:21,840 --> 00:01:27,039 Speaker 1: me to stop wearing that. Well also too, because we 25 00:01:27,080 --> 00:01:29,800 Speaker 1: have all kinds of like new shows happening all the time, 26 00:01:29,840 --> 00:01:31,760 Speaker 1: a lot of people I don't know. Yeah, yeah, I 27 00:01:33,640 --> 00:01:35,640 Speaker 1: was stressed out by the inspector because I thought he 28 00:01:35,680 --> 00:01:38,800 Speaker 1: was just looking at everything. Okay, so you decided to 29 00:01:38,800 --> 00:01:42,040 Speaker 1: go with that double Guess what, Candice, We're going to 30 00:01:42,120 --> 00:01:43,440 Speaker 1: get to know you a little bit better. At first, 31 00:01:43,440 --> 00:01:46,200 Speaker 1: we're going to tell our listeners a couple of the 32 00:01:46,319 --> 00:01:50,200 Speaker 1: things we're talking about today. R I p to Mackenzie 33 00:01:50,240 --> 00:01:53,840 Speaker 1: Basis's dm S because yeah, we're gonna talk about that 34 00:01:54,240 --> 00:02:01,120 Speaker 1: little conscientious uncoupling or just conscious conscious conscious. Uh, we're 35 00:02:01,160 --> 00:02:03,720 Speaker 1: talking about Chris Martin and Gwyneth Paltrow. No, but I 36 00:02:04,080 --> 00:02:10,079 Speaker 1: think that they invented it. But I think the bezos 37 00:02:10,240 --> 00:02:13,120 Speaker 1: Is are fully embracing it. I think it's like a 38 00:02:13,200 --> 00:02:16,840 Speaker 1: super amicable split or something. Right. They described, Well, she's 39 00:02:16,840 --> 00:02:19,160 Speaker 1: probably gonna get half his money, so yes, i'd be 40 00:02:19,600 --> 00:02:26,440 Speaker 1: would be so amicable. Uh, we're gonna talk about the 41 00:02:26,520 --> 00:02:29,600 Speaker 1: Trump shutdown and just where where we're at as of 42 00:02:29,680 --> 00:02:33,040 Speaker 1: this recording. Uh, Steve King back in the headlines, We're 43 00:02:33,040 --> 00:02:36,160 Speaker 1: gonna talk about him, and uh, he was wondering why 44 00:02:36,360 --> 00:02:38,880 Speaker 1: white supremacist is a bad word. All of a sudden, 45 00:02:39,240 --> 00:02:42,880 Speaker 1: that was that his questions. Yeah, I mean, yeah, Look, 46 00:02:42,919 --> 00:02:45,440 Speaker 1: we'll get into a probably later. I don't know. We're 47 00:02:45,440 --> 00:02:49,880 Speaker 1: gonna look at the economic forecast that has the US 48 00:02:50,000 --> 00:02:57,200 Speaker 1: as the third largest economy by so yeah we're number three. 49 00:02:57,440 --> 00:03:00,240 Speaker 1: Where there we go, But first we like to ask 50 00:03:00,320 --> 00:03:03,040 Speaker 1: our guest, what is something from your search history that 51 00:03:03,160 --> 00:03:07,080 Speaker 1: is revealing about who you are? Well, we are judging 52 00:03:07,360 --> 00:03:10,520 Speaker 1: this is silly, but I and I knew the answer 53 00:03:10,560 --> 00:03:12,640 Speaker 1: before I look this up. But I always have to 54 00:03:12,680 --> 00:03:15,600 Speaker 1: be right, and I was trying to prove somebody wrong. 55 00:03:15,760 --> 00:03:19,000 Speaker 1: So I had a television installed in my living room 56 00:03:19,040 --> 00:03:22,280 Speaker 1: just recently. I had to get a new TV, and uh, 57 00:03:22,480 --> 00:03:25,160 Speaker 1: the guy from who from best buy who came to 58 00:03:25,240 --> 00:03:27,840 Speaker 1: install it. I don't know. We somehow gotten the topic 59 00:03:27,880 --> 00:03:30,920 Speaker 1: of Donald Glover. We're talking about Atlanta, and then he 60 00:03:30,960 --> 00:03:35,320 Speaker 1: makes the comment of well, I didn't even know he 61 00:03:35,360 --> 00:03:38,360 Speaker 1: was Danny Glover's son, and I was like, what are 62 00:03:38,400 --> 00:03:43,080 Speaker 1: you talking about? What are you talking about? And he 63 00:03:43,160 --> 00:03:45,360 Speaker 1: was like, yeah, that's his father. And I said, I'm 64 00:03:45,400 --> 00:03:51,120 Speaker 1: pretty sure Danny Glover is not childish Dambino's father. And 65 00:03:51,160 --> 00:03:52,920 Speaker 1: then so I had to look it up to prove 66 00:03:53,000 --> 00:03:55,480 Speaker 1: him wrong, just to be like, look, this is it right? Yes? 67 00:03:55,520 --> 00:04:00,600 Speaker 1: Because oh he was yeah, no, No, that's nothing worse 68 00:04:00,640 --> 00:04:04,920 Speaker 1: than like someone being that wrong and committed to their wrongness. Yeah, 69 00:04:05,040 --> 00:04:06,640 Speaker 1: so I have to be like I had to shut 70 00:04:06,680 --> 00:04:09,720 Speaker 1: it down. Was he fact checkable? Was he like oh okay, 71 00:04:09,880 --> 00:04:12,040 Speaker 1: or was he like, oh, well that's what the internet says. 72 00:04:12,120 --> 00:04:16,560 Speaker 1: But no he he at that point accepted the exactly. Yes, 73 00:04:16,640 --> 00:04:18,520 Speaker 1: he's not a crazy person. I don't think. I think 74 00:04:18,560 --> 00:04:24,880 Speaker 1: just yes, correct. So they do respect, they do respect information. Okay. Uh. 75 00:04:24,920 --> 00:04:28,359 Speaker 1: What is something that you think is underrated? Underrated? Is 76 00:04:29,000 --> 00:04:33,880 Speaker 1: being single? Okay? Yeah, I embrace it because I have to. 77 00:04:34,000 --> 00:04:38,400 Speaker 1: Now most of my life I've been single, and I 78 00:04:38,440 --> 00:04:41,360 Speaker 1: do get moments where it's like I do I do 79 00:04:41,640 --> 00:04:46,400 Speaker 1: know that companionship is nice and it's comfortable and we 80 00:04:46,480 --> 00:04:48,839 Speaker 1: all want We're all human, right, we want contact and love. 81 00:04:49,320 --> 00:04:52,920 Speaker 1: But every time I like, like try to get into 82 00:04:52,960 --> 00:04:56,039 Speaker 1: a relationship, something happens and it doesn't work out. And 83 00:04:56,080 --> 00:04:58,760 Speaker 1: that's most of my relationships. They never work out. And 84 00:04:58,800 --> 00:05:00,839 Speaker 1: I'm just and I'm like, know what, I'm fine being 85 00:05:00,880 --> 00:05:02,680 Speaker 1: by myself and I don't think I'm ever going to 86 00:05:02,800 --> 00:05:05,640 Speaker 1: get married. I think I'm just you know, I looked 87 00:05:05,680 --> 00:05:08,920 Speaker 1: at good. I'm good. Spend that time, you know, doing 88 00:05:08,960 --> 00:05:10,880 Speaker 1: what makes you happy and just realize like, oh, yeah, 89 00:05:10,920 --> 00:05:13,560 Speaker 1: that you don't have to worry about another person. You 90 00:05:13,600 --> 00:05:16,760 Speaker 1: don't have to like, uh like change what you're doing 91 00:05:16,800 --> 00:05:19,120 Speaker 1: to make them happy. Like it's just there's a freedom 92 00:05:19,160 --> 00:05:20,440 Speaker 1: that's involved with it that I think a lot of 93 00:05:20,440 --> 00:05:22,560 Speaker 1: people are scared of. Now. I've heard in some of 94 00:05:22,600 --> 00:05:24,360 Speaker 1: the stand up you do, a lot of you attribute 95 00:05:24,360 --> 00:05:27,000 Speaker 1: some of that to your dad. Too good of a dad, 96 00:05:27,520 --> 00:05:29,920 Speaker 1: and so your bar is so fucking high. It's like, 97 00:05:29,960 --> 00:05:33,839 Speaker 1: who the I'm gonna date? Yeah, everyone disappoints me. Everyone 98 00:05:33,920 --> 00:05:35,960 Speaker 1: everyone disappoints me. And I've gotten to the point where 99 00:05:35,960 --> 00:05:39,080 Speaker 1: it's like now it's like I none of the guys 100 00:05:39,120 --> 00:05:42,039 Speaker 1: that I've dated ever have given me what I've deserved. 101 00:05:42,640 --> 00:05:44,400 Speaker 1: And the only person that has done. That is me, 102 00:05:45,200 --> 00:05:47,880 Speaker 1: you know, and and my parents, like my family, and 103 00:05:47,880 --> 00:05:49,840 Speaker 1: that's what they're supposed to do as parents, like I 104 00:05:49,880 --> 00:05:51,719 Speaker 1: feel like they're supposed to help me and support me 105 00:05:51,760 --> 00:05:54,240 Speaker 1: and provide and care about my emotional needs. But I'm 106 00:05:54,240 --> 00:05:57,040 Speaker 1: not here to say that someone else's responsibility and why 107 00:05:57,040 --> 00:05:59,080 Speaker 1: I put that on somebody. So I take the time 108 00:05:59,120 --> 00:06:00,719 Speaker 1: to focus on me and I complaining because you know, 109 00:06:00,800 --> 00:06:06,320 Speaker 1: sometimes I'll be you know, horn Yeah, but I'm even 110 00:06:06,360 --> 00:06:08,680 Speaker 1: getting past that. I think I'm just like post sexual 111 00:06:08,720 --> 00:06:11,479 Speaker 1: at this point. I'm actual. Yeah, I'm just I'm in 112 00:06:11,520 --> 00:06:13,720 Speaker 1: a whole headspace. I meditate every day and I'm just 113 00:06:13,800 --> 00:06:17,719 Speaker 1: like I'm present and just using that energy to be creative. Ye, 114 00:06:18,480 --> 00:06:21,800 Speaker 1: and your meditation controls the horny nous or like puts 115 00:06:21,839 --> 00:06:25,080 Speaker 1: it in its place. Well, yes, I use that energy, 116 00:06:25,160 --> 00:06:28,880 Speaker 1: that's that's sexual energy to like just get into a 117 00:06:29,000 --> 00:06:32,159 Speaker 1: headspace where I'm just enjoying being present in that moment 118 00:06:32,200 --> 00:06:34,760 Speaker 1: and using that time to really appreciate and be grateful. 119 00:06:35,040 --> 00:06:37,160 Speaker 1: And I come up with ideas and like jokes when 120 00:06:37,160 --> 00:06:39,520 Speaker 1: I'm meditating. So I feel like that's where my sexual 121 00:06:39,600 --> 00:06:43,880 Speaker 1: energy is beingting I'd be manifesting all types of stuff 122 00:06:46,160 --> 00:06:49,240 Speaker 1: way better at meditation than I am. Oh, I probably am. 123 00:06:50,080 --> 00:06:52,600 Speaker 1: I've been going in now for almost like two years now, 124 00:06:52,800 --> 00:06:54,120 Speaker 1: and I'm until like an hour and a half a 125 00:06:54,200 --> 00:06:56,400 Speaker 1: day I can do and you're hovering a couple inches 126 00:06:56,440 --> 00:07:01,200 Speaker 1: off your seat. What is something you think is overrated? Oh, 127 00:07:01,400 --> 00:07:03,919 Speaker 1: there's a few things. I don't know which one to 128 00:07:04,240 --> 00:07:08,760 Speaker 1: political correctness for sure, I feel like it's hella overrated, um, 129 00:07:09,080 --> 00:07:12,800 Speaker 1: especially right now, right now, I just it's a it's fraudulent. 130 00:07:12,880 --> 00:07:15,120 Speaker 1: I feel like people do things under the guise of 131 00:07:15,120 --> 00:07:18,320 Speaker 1: political correctness where they don't actually mean what they're saying. 132 00:07:18,320 --> 00:07:20,440 Speaker 1: They just don't want to stir the pot or say 133 00:07:20,480 --> 00:07:23,160 Speaker 1: something offensive, but they still feel that way inside, which 134 00:07:23,200 --> 00:07:27,680 Speaker 1: is phony. Um. And being in this industry of entertainment 135 00:07:27,800 --> 00:07:33,440 Speaker 1: and seeing that people are like casting certain people because 136 00:07:33,480 --> 00:07:37,840 Speaker 1: they look diverse, but they don't really care about diversity. 137 00:07:37,880 --> 00:07:40,440 Speaker 1: They just don't want to be called racist. That's right, 138 00:07:40,440 --> 00:07:42,640 Speaker 1: It's so superficient. I'm tired of it because I'm a 139 00:07:42,680 --> 00:07:45,760 Speaker 1: black person that obviously doesn't look traditionally black, but like 140 00:07:45,800 --> 00:07:48,360 Speaker 1: I've been overlooked for so many things because they want 141 00:07:48,400 --> 00:07:52,520 Speaker 1: someone who's obviously looking black so that they don't look racist. Like, imagine, 142 00:07:52,520 --> 00:07:55,760 Speaker 1: I remember one SNL was casting when they were having 143 00:07:56,040 --> 00:07:58,160 Speaker 1: they got called out for not having any black women 144 00:07:58,520 --> 00:08:02,440 Speaker 1: in the cast. And then imagine if they had hired me, right, 145 00:08:02,520 --> 00:08:05,560 Speaker 1: they'd have been like, who of all the black women, 146 00:08:05,600 --> 00:08:08,440 Speaker 1: you had to pick this one? That shouldn't matter. I'm 147 00:08:08,440 --> 00:08:10,720 Speaker 1: talented and I'm right for the job. But they obviously 148 00:08:10,800 --> 00:08:12,440 Speaker 1: had to go with a more brown so they don't 149 00:08:12,440 --> 00:08:14,480 Speaker 1: get called out again. So and that's just a thing 150 00:08:14,520 --> 00:08:17,120 Speaker 1: that I have to deal with regularly. But I know 151 00:08:17,160 --> 00:08:18,600 Speaker 1: that other people have to deal with it as well. 152 00:08:18,640 --> 00:08:22,360 Speaker 1: It's like, if you're not representing what this particular agenda is, 153 00:08:22,400 --> 00:08:25,240 Speaker 1: then you're not good for it, which is not true 154 00:08:25,240 --> 00:08:27,520 Speaker 1: at all. Yeah, it's like it's almost like a thought 155 00:08:27,600 --> 00:08:31,480 Speaker 1: stopping thing. Yeah, political correctness, where you're just like, okay, 156 00:08:32,000 --> 00:08:34,679 Speaker 1: and this is the right thing to say and this 157 00:08:34,720 --> 00:08:37,280 Speaker 1: fits into that the right thing to say. I believe it. 158 00:08:37,679 --> 00:08:41,320 Speaker 1: I don't believe it. I'm just want to tweet it though, right, 159 00:08:42,080 --> 00:08:52,199 Speaker 1: what is you another overrated? Oh yeah? What was that eggplant? Eggplant? Man? 160 00:08:52,240 --> 00:08:54,600 Speaker 1: I've given it so many shots, really, and I try 161 00:08:54,640 --> 00:08:56,760 Speaker 1: I keep going back. I keep trying it, Like maybe 162 00:08:57,600 --> 00:08:59,200 Speaker 1: I keep doing because I'm like I ken I do 163 00:08:59,320 --> 00:09:02,520 Speaker 1: because I'm like people, right, I see chefs. I watched 164 00:09:02,520 --> 00:09:05,320 Speaker 1: Top Chef, I watched all these shows about cooking and 165 00:09:05,600 --> 00:09:08,280 Speaker 1: all one of my favorite ingredients to work with his eggplant. 166 00:09:08,640 --> 00:09:12,240 Speaker 1: I have yet to meet an eggplant that has blown 167 00:09:12,320 --> 00:09:15,200 Speaker 1: my mind. Wow, I don't like the taster. How do 168 00:09:15,240 --> 00:09:17,480 Speaker 1: you normally cook it? I don't cook it. I usually 169 00:09:19,120 --> 00:09:21,280 Speaker 1: because I don't know how to cook it. I think 170 00:09:21,280 --> 00:09:24,200 Speaker 1: I've maybe had an eggplant parmesan that was decent, but 171 00:09:24,240 --> 00:09:26,320 Speaker 1: it's too mushy for me, and I don't It doesn't 172 00:09:26,320 --> 00:09:29,199 Speaker 1: have an overwhelmingly great flavor. It's just there. It's just 173 00:09:29,320 --> 00:09:33,640 Speaker 1: vegetarian chicken parm right, And I'm a vegetarian, oh ship, 174 00:09:33,920 --> 00:09:37,520 Speaker 1: And I'm actually I'm like transitioning into vegan now, so 175 00:09:37,520 --> 00:09:40,480 Speaker 1: so like it's a but yeah, I'm just not impressed. Dude, 176 00:09:40,880 --> 00:09:46,440 Speaker 1: have you had like an aubergine dip or like Bob do? 177 00:09:46,679 --> 00:09:50,200 Speaker 1: I do? Like I do, like, but you know you 178 00:09:50,240 --> 00:09:52,960 Speaker 1: need something else with the barbaani. Okay, another thing in 179 00:09:53,000 --> 00:09:56,200 Speaker 1: Japan what we do is we like roasted with me 180 00:09:56,320 --> 00:09:59,560 Speaker 1: so and then a slow roasted like that, and so 181 00:09:59,640 --> 00:10:02,480 Speaker 1: you get a really good texture and flavor from that. 182 00:10:02,600 --> 00:10:06,440 Speaker 1: So your team eggplant. I'm team everything, really okay, I 183 00:10:06,480 --> 00:10:08,960 Speaker 1: just don't like carrots. You shouldn't like carrots. They're not 184 00:10:09,080 --> 00:10:11,679 Speaker 1: natural and they're not good for you. Like, that's why 185 00:10:11,720 --> 00:10:13,640 Speaker 1: your eyesight is bad. We have to wear glasses when 186 00:10:13,640 --> 00:10:16,960 Speaker 1: we play video game carrots that no, they're not. They're 187 00:10:17,000 --> 00:10:22,120 Speaker 1: man made. You eat, don't. We can talk about that 188 00:10:22,280 --> 00:10:24,680 Speaker 1: what I eat when we get to the myth thing. Oh, 189 00:10:24,720 --> 00:10:26,120 Speaker 1: that's what I want to talk about it. But the 190 00:10:26,160 --> 00:10:29,400 Speaker 1: carrots are talking about because orange is not their natural color, right, 191 00:10:29,760 --> 00:10:32,280 Speaker 1: I don't. I don't know about that, but I just 192 00:10:32,360 --> 00:10:35,080 Speaker 1: saw a thing on I forget what I was watching. Oh, 193 00:10:35,080 --> 00:10:36,440 Speaker 1: I forget what I was watching. But they were talking 194 00:10:36,440 --> 00:10:38,760 Speaker 1: about how the myth about carrots giving us good eyesight 195 00:10:38,840 --> 00:10:42,800 Speaker 1: is from World War either one or two. The pilots 196 00:10:43,360 --> 00:10:46,080 Speaker 1: were able to shoot the missiles and get their targets 197 00:10:46,160 --> 00:10:48,320 Speaker 1: because of all the carrots they ate, and then carrots 198 00:10:48,360 --> 00:10:51,600 Speaker 1: it was because the Nazis code and they and they 199 00:10:51,640 --> 00:10:54,599 Speaker 1: skyrocketed as sales of carrots. So they just started manufacturing 200 00:10:54,640 --> 00:10:59,360 Speaker 1: carrots and economy. Yeah, we had to have an expence, 201 00:10:59,400 --> 00:11:04,920 Speaker 1: have nothing to actually glazed roasted harrot Moza. Have you 202 00:11:05,000 --> 00:11:09,560 Speaker 1: been a Moza. Yes, they they have these balsamic glazed carrots. Yeah. Yeah, 203 00:11:09,600 --> 00:11:12,120 Speaker 1: but the story I love that story about the carrots. 204 00:11:12,120 --> 00:11:14,320 Speaker 1: So we had cracked the Nazis code and we were 205 00:11:14,360 --> 00:11:16,560 Speaker 1: just like sniping them out of the sky because we 206 00:11:16,640 --> 00:11:18,640 Speaker 1: like knew where they were because we had cracked the code. 207 00:11:18,720 --> 00:11:22,560 Speaker 1: But yeah, but in order to like to give them 208 00:11:22,600 --> 00:11:24,560 Speaker 1: an excuse for why we were able to see them 209 00:11:24,600 --> 00:11:27,320 Speaker 1: at night, we said that we were eating a lot 210 00:11:27,360 --> 00:11:29,400 Speaker 1: of carrots and like put that in our thing that 211 00:11:29,480 --> 00:11:32,400 Speaker 1: we knew they were intercepting. And the Nazis were so 212 00:11:32,520 --> 00:11:34,880 Speaker 1: fucking stupid that they were like, oh man, we gotta 213 00:11:34,880 --> 00:11:37,960 Speaker 1: started eating carrotts, ramp up the carrot thing. Yeah, it's 214 00:11:38,040 --> 00:11:42,400 Speaker 1: Nazi propaganda, so stay away from carrots. And what is 215 00:11:42,400 --> 00:11:45,560 Speaker 1: a myth, oh um, A myth I wanted to debunk 216 00:11:45,720 --> 00:11:47,520 Speaker 1: is it's tied in with the whole food thing that 217 00:11:47,600 --> 00:11:49,720 Speaker 1: we're talking about. Is the myth that we need to 218 00:11:49,760 --> 00:11:52,880 Speaker 1: eat three meals a day. That's not accurate at all. 219 00:11:52,920 --> 00:11:56,320 Speaker 1: We don't eat at least five, no, not even you 220 00:11:56,400 --> 00:11:59,719 Speaker 1: can't do that well. And they say what I think, 221 00:11:59,720 --> 00:12:02,560 Speaker 1: they say eight little meals throughout that like little snack. 222 00:12:04,120 --> 00:12:06,560 Speaker 1: I don't right, who does, But you don't have to do. 223 00:12:06,640 --> 00:12:08,319 Speaker 1: I mean, we really don't have to eat that much 224 00:12:08,360 --> 00:12:11,240 Speaker 1: at all. I sometimes on Sundays will just eat one meal. 225 00:12:11,400 --> 00:12:13,800 Speaker 1: I do intermittent fasting all the time, which is I'll 226 00:12:13,880 --> 00:12:15,959 Speaker 1: eat one meal and then I won't and like in 227 00:12:16,000 --> 00:12:17,160 Speaker 1: the middle of the day, and then I won't eat 228 00:12:17,160 --> 00:12:19,120 Speaker 1: again until that same time the next day. And I'll 229 00:12:19,160 --> 00:12:22,959 Speaker 1: do that for weeks on end, and I feel great 230 00:12:23,160 --> 00:12:26,040 Speaker 1: and and I again, I don't do the whole protein 231 00:12:26,080 --> 00:12:27,800 Speaker 1: thing and how we need a bunch of protein from meat, 232 00:12:27,880 --> 00:12:29,960 Speaker 1: Like you don't need that stuff. So like, and I've 233 00:12:30,000 --> 00:12:34,200 Speaker 1: I've been vegetarian no meat, no meat like pork and 234 00:12:34,760 --> 00:12:37,079 Speaker 1: beef related since I was thirteen. I gave up chicken 235 00:12:37,200 --> 00:12:39,600 Speaker 1: in two thousand seven. And now I'm transitioning into what 236 00:12:39,640 --> 00:12:43,720 Speaker 1: happened in two seven someone touched me. I got molested 237 00:12:43,760 --> 00:12:49,480 Speaker 1: by a chicken, and Colonel yeah, no, I fasted and 238 00:12:49,480 --> 00:12:50,960 Speaker 1: then I felt so good after I did the fast 239 00:12:50,960 --> 00:12:52,439 Speaker 1: in two thousand seven that I was like, I don't 240 00:12:52,480 --> 00:12:54,480 Speaker 1: want to go back to failing like that, so I 241 00:12:54,520 --> 00:12:56,840 Speaker 1: just gave it up. So what is your favorite food? 242 00:12:57,840 --> 00:13:02,600 Speaker 1: Oh man, what do you find yourself? Pizza? But now 243 00:13:02,720 --> 00:13:04,760 Speaker 1: I'm the hell are you going to do vegan? I 244 00:13:05,760 --> 00:13:07,760 Speaker 1: am like it's one of those things where I feel 245 00:13:07,760 --> 00:13:09,880 Speaker 1: like if I'm trying to do like an alkaline raw 246 00:13:09,960 --> 00:13:13,000 Speaker 1: food vegan because I was having some health issues last 247 00:13:13,080 --> 00:13:14,920 Speaker 1: year and like I just kept getting sick, and I 248 00:13:14,960 --> 00:13:17,319 Speaker 1: was like, why am I and I'm healthy. I told 249 00:13:17,360 --> 00:13:19,400 Speaker 1: you I don't like I exercise, I did yoga, I 250 00:13:19,440 --> 00:13:21,280 Speaker 1: don't eat like terrible foods All the time. I was like, 251 00:13:21,320 --> 00:13:23,199 Speaker 1: I'm supposed to be like one of the healthier people, 252 00:13:23,679 --> 00:13:25,640 Speaker 1: and I was like, I kept getting sick, and so 253 00:13:25,800 --> 00:13:27,959 Speaker 1: I just did research and it was I just want 254 00:13:28,000 --> 00:13:31,800 Speaker 1: to create an alkaline yep. So that's what I'm doing 255 00:13:31,920 --> 00:13:33,560 Speaker 1: as of right now, and I plan to do it 256 00:13:33,720 --> 00:13:35,840 Speaker 1: most of the time. I will have if I go 257 00:13:35,960 --> 00:13:37,480 Speaker 1: like three months and I'm like, you know what, I 258 00:13:37,480 --> 00:13:39,640 Speaker 1: want a piece of pizza, I'm gonna have a pizza, 259 00:13:39,720 --> 00:13:41,559 Speaker 1: or I'm gonna have ice cream. I'm not going to 260 00:13:41,640 --> 00:13:43,800 Speaker 1: cut anything out entirely, but I do want to live 261 00:13:43,880 --> 00:13:46,160 Speaker 1: my life mostly where I do like the raw food 262 00:13:46,280 --> 00:13:50,880 Speaker 1: vegetarian like or vegan fruits, vegetables most mostly what's your 263 00:13:50,880 --> 00:13:54,200 Speaker 1: favorite vegetable? And I can't do this one anymore? And 264 00:13:54,240 --> 00:13:57,160 Speaker 1: it made me very mad. I love broccoli, but broccoli 265 00:13:57,200 --> 00:13:59,880 Speaker 1: is a hyprid. It's man made as well. Broccoli is 266 00:14:00,120 --> 00:14:04,840 Speaker 1: everything everything, No, not everything the Native Americans made, like 267 00:14:05,720 --> 00:14:09,480 Speaker 1: basically everything. But yeah, I mean not with chemicals or anything, right, 268 00:14:09,640 --> 00:14:14,599 Speaker 1: but like everything has evolved, everything is genetically modified. So yeah, no, 269 00:14:14,760 --> 00:14:19,280 Speaker 1: like cauliflowers not vegetables aren't good. No, they're all hybrids, 270 00:14:19,280 --> 00:14:21,400 Speaker 1: so you know they're not good for you. Like there's 271 00:14:21,400 --> 00:14:24,600 Speaker 1: a list of alkaline foods and those are not on 272 00:14:24,640 --> 00:14:28,160 Speaker 1: their carrots are not on there, but like they're kale. 273 00:14:28,320 --> 00:14:30,680 Speaker 1: You can do even spinaches like touch and go, like 274 00:14:30,760 --> 00:14:32,320 Speaker 1: you can have a little bit but not too much. 275 00:14:33,520 --> 00:14:37,640 Speaker 1: All the lettuces are fine, except for Iceberg, the trash one, 276 00:14:37,800 --> 00:14:43,480 Speaker 1: you know, Iceberg wedge. But it has more to do 277 00:14:43,560 --> 00:14:46,440 Speaker 1: with the blue cheese and the bacon than the actual 278 00:14:46,680 --> 00:14:50,600 Speaker 1: just like thickest bacon. Alright, let's talk about Mackenzie Bezos 279 00:14:50,960 --> 00:14:54,640 Speaker 1: uh and Jeff Bezos. They announced that they were super 280 00:14:54,720 --> 00:14:58,880 Speaker 1: amicably splitting after twenty five years of marriage. This seems 281 00:14:58,920 --> 00:15:00,880 Speaker 1: like something to aspire too if you're going to get 282 00:15:00,880 --> 00:15:02,720 Speaker 1: a divorce, Like the way they're doing it, they just 283 00:15:02,760 --> 00:15:05,840 Speaker 1: seem very positive. Well, it seems like for the last 284 00:15:06,040 --> 00:15:08,680 Speaker 1: year or something they were separated, they were like a 285 00:15:08,720 --> 00:15:11,720 Speaker 1: trial separation and they were working on it and then 286 00:15:11,920 --> 00:15:14,360 Speaker 1: you know, but then they got four kids, but I 287 00:15:14,400 --> 00:15:17,680 Speaker 1: think they're mostly grown, so you know, yeah, well, I 288 00:15:17,720 --> 00:15:21,520 Speaker 1: mean luckily for them, or maybe from Mackenzie Washington the 289 00:15:21,560 --> 00:15:23,800 Speaker 1: lodge in Washington State. And the lack of a prenup 290 00:15:23,840 --> 00:15:28,920 Speaker 1: means she she'll be getting half of his billion dollar fortunes. 291 00:15:30,680 --> 00:15:34,920 Speaker 1: She will they be like the third and fourth richest 292 00:15:34,920 --> 00:15:36,640 Speaker 1: people in the world. Now, well, now he's going to 293 00:15:36,720 --> 00:15:39,200 Speaker 1: be a little Bill Gates and then she becomes a 294 00:15:39,200 --> 00:15:43,200 Speaker 1: wealthiest woman on Earth rights And how long have they 295 00:15:43,200 --> 00:15:47,400 Speaker 1: been together? And I think they said was in their 296 00:15:47,480 --> 00:15:52,080 Speaker 1: joint statement about their super amicable separation, is that they 297 00:15:52,080 --> 00:15:54,120 Speaker 1: were like, if we had known at the outset that 298 00:15:54,160 --> 00:15:55,840 Speaker 1: we were going to have these twenty five years, we 299 00:15:55,920 --> 00:15:57,640 Speaker 1: do it all over again. I think that's a good 300 00:15:57,640 --> 00:15:59,880 Speaker 1: way to think of it, you know, like, you know, 301 00:16:00,040 --> 00:16:03,600 Speaker 1: it was what it was, and it's over. Yeah, when 302 00:16:03,680 --> 00:16:07,520 Speaker 1: it's over, that's what happened. Everything. When you get to 303 00:16:07,600 --> 00:16:10,720 Speaker 1: the details of like what he's up to now, you 304 00:16:10,800 --> 00:16:13,960 Speaker 1: get into like the billionaire headspace that's like, oh, you're 305 00:16:13,960 --> 00:16:17,320 Speaker 1: on some next level ship because he's already dating his 306 00:16:17,440 --> 00:16:23,200 Speaker 1: best friend's wife. What ex wife, No wife, current white, 307 00:16:23,280 --> 00:16:26,840 Speaker 1: current white. So they're separated as well, they're separation right now. 308 00:16:26,880 --> 00:16:29,200 Speaker 1: They planned the separation. They're just gonna swap. This is 309 00:16:29,240 --> 00:16:32,560 Speaker 1: like wife swap. I don't know, man, it's interesting. So 310 00:16:32,720 --> 00:16:35,440 Speaker 1: it is somebody who Miles grew up having a crush on. 311 00:16:35,600 --> 00:16:45,120 Speaker 1: Laura Sanchez Fox eleven News TV anchor local TV. Oh yeah, 312 00:16:45,120 --> 00:16:47,400 Speaker 1: oh you don't know the vibe of our show. Wait 313 00:16:47,440 --> 00:16:50,040 Speaker 1: till we do our Brett bay Or sketch because he's 314 00:16:50,080 --> 00:16:53,040 Speaker 1: so bayh. No. Yes, Laurence Sanchez I used to man, 315 00:16:53,280 --> 00:16:55,560 Speaker 1: I love her, yes, but she was what she was 316 00:16:55,720 --> 00:16:59,160 Speaker 1: married to Tony Gonzalez, I think before Patrick White Gonzalez 317 00:16:59,240 --> 00:17:01,640 Speaker 1: then Patrick I tell who is like the co head 318 00:17:01,680 --> 00:17:05,480 Speaker 1: of wm E, right, and then now she's climbing on 319 00:17:05,640 --> 00:17:11,040 Speaker 1: up to that Jeff Bezos. Uh yeah, but it sounds 320 00:17:11,080 --> 00:17:14,679 Speaker 1: like Lauren Sanchez. She sounds like just based upon her 321 00:17:14,800 --> 00:17:17,160 Speaker 1: dating history and like she's been married twice? Is that what? 322 00:17:17,359 --> 00:17:22,360 Speaker 1: So she's probably aged appropriate, right, yeah, she's well, yeah, 323 00:17:22,440 --> 00:17:24,920 Speaker 1: it's I think, you know, it's a good look for them. 324 00:17:24,920 --> 00:17:27,640 Speaker 1: I guess if they're splitting amicably because there's nothing to say. 325 00:17:27,960 --> 00:17:30,560 Speaker 1: The national enquired now take this with like nine million 326 00:17:30,600 --> 00:17:33,919 Speaker 1: grains of salt, was like, you know they were dating 327 00:17:34,040 --> 00:17:37,080 Speaker 1: even before the trial separation. Most people were like, no, 328 00:17:37,240 --> 00:17:39,919 Speaker 1: once they separated, that's when he started dating her. But 329 00:17:39,960 --> 00:17:42,119 Speaker 1: a lot of people are also like, does any of 330 00:17:42,160 --> 00:17:44,760 Speaker 1: their split have to do with because like about almost 331 00:17:44,760 --> 00:17:48,040 Speaker 1: two years ago, eighteen months ago, when like swoll Bezos 332 00:17:48,119 --> 00:17:52,399 Speaker 1: came out, everyone was like I missed swollen basics, Like 333 00:17:52,440 --> 00:17:55,800 Speaker 1: suddenly he just came out like Chappelle, how like Chappelle 334 00:17:56,680 --> 00:18:00,119 Speaker 1: and then made his head look even smaller. That's to 335 00:18:00,240 --> 00:18:02,320 Speaker 1: what like what Jeff Bezos in a lot of people like, oh, 336 00:18:02,320 --> 00:18:04,520 Speaker 1: I wonder if that's when the split began, and he 337 00:18:04,600 --> 00:18:08,720 Speaker 1: was like, he's trying to get his groove back. So 338 00:18:09,000 --> 00:18:11,679 Speaker 1: there's a couple of quotes from him that seemed like 339 00:18:11,720 --> 00:18:15,119 Speaker 1: they're veering in the this dude's a creep direction, but 340 00:18:15,560 --> 00:18:18,000 Speaker 1: actually I don't hate him for it. So he was like, 341 00:18:18,040 --> 00:18:20,800 Speaker 1: at a certain point, I was sort of a professional dater, 342 00:18:21,400 --> 00:18:25,560 Speaker 1: and I had to develop what he labeled women flow, 343 00:18:26,160 --> 00:18:28,879 Speaker 1: which is like the equivalent of deal flow when a 344 00:18:28,880 --> 00:18:32,840 Speaker 1: Wall Street person is like I won't have anything under 345 00:18:32,880 --> 00:18:35,720 Speaker 1: a ten million dollar equity investment. But then he said 346 00:18:35,760 --> 00:18:38,440 Speaker 1: the number one criterion was that I wanted a woman 347 00:18:38,480 --> 00:18:40,800 Speaker 1: who could get me out of a third world prison, 348 00:18:41,920 --> 00:18:45,280 Speaker 1: which is very specific. But like when you look at 349 00:18:45,359 --> 00:18:47,920 Speaker 1: Laura Sanchez, so first of all, his wife who is 350 00:18:48,000 --> 00:18:51,840 Speaker 1: separating from is actually very like smart Miles. We were saying. 351 00:18:51,880 --> 00:18:56,080 Speaker 1: Tony Morrison was her teacher at She was my greatest 352 00:18:56,080 --> 00:19:00,320 Speaker 1: student in literature or whatever taught her. That's amazing, how lucky. 353 00:19:00,400 --> 00:19:03,479 Speaker 1: And so Laura Sanchez, Uh, when she used to be 354 00:19:03,760 --> 00:19:07,040 Speaker 1: you know, man on the street reporter, local news reporter, 355 00:19:07,080 --> 00:19:08,639 Speaker 1: which is kind of a badass job. I have a 356 00:19:08,640 --> 00:19:10,520 Speaker 1: friend who did that and she was like kicking down 357 00:19:10,560 --> 00:19:13,600 Speaker 1: doors and getting like punched and ship like it's a 358 00:19:13,960 --> 00:19:16,359 Speaker 1: Lauren Sances was doing that. She was especially when she 359 00:19:16,359 --> 00:19:19,840 Speaker 1: did good dayly to become to become a local news reporter, 360 00:19:20,520 --> 00:19:22,800 Speaker 1: you gotta be in the in the ship for a 361 00:19:22,840 --> 00:19:26,440 Speaker 1: period of your career, it's right. But now she has 362 00:19:26,640 --> 00:19:30,320 Speaker 1: started a new career where she launched a business where 363 00:19:30,320 --> 00:19:34,320 Speaker 1: she is a helicopter pilot who shoots footage for films. 364 00:19:34,359 --> 00:19:38,400 Speaker 1: She shot footage for Dunkirk. She has a credit on Dunkirk. Yes, 365 00:19:38,680 --> 00:19:42,240 Speaker 1: she her company and she is a helicopter pilot, so 366 00:19:42,280 --> 00:19:44,400 Speaker 1: she learned how to be a helicopter pilot. Was like, man, 367 00:19:44,440 --> 00:19:49,000 Speaker 1: this is a lot of fun gilskils. So, I mean 368 00:19:49,320 --> 00:19:51,639 Speaker 1: he seems to be sticking with that because it seems 369 00:19:51,680 --> 00:19:55,840 Speaker 1: like she could stage a helicopter based prison break from 370 00:19:56,080 --> 00:19:59,040 Speaker 1: you know. He was like, tell me about your skills, mom, 371 00:19:59,040 --> 00:20:01,639 Speaker 1: a helicopter pilot. He's like, how are you with lock picking? 372 00:20:02,840 --> 00:20:08,080 Speaker 1: Lock picking, safe cracking? I speak ninety languages. Yeah, it 373 00:20:08,119 --> 00:20:10,439 Speaker 1: makes her disarm a bomb. Yeah. She's like, I know 374 00:20:10,440 --> 00:20:13,280 Speaker 1: how to do more code with my eyes. Yeah. There's 375 00:20:13,320 --> 00:20:15,359 Speaker 1: also some ship in the National Enquirer that was like 376 00:20:15,440 --> 00:20:18,640 Speaker 1: leaked text messages that are just creepy. But I don't 377 00:20:18,680 --> 00:20:20,840 Speaker 1: know if they're real. But if they are real, I 378 00:20:20,920 --> 00:20:24,239 Speaker 1: love you Alive girl was a text he sent her. 379 00:20:24,480 --> 00:20:27,280 Speaker 1: What does that mean? I love you comma alive girl. 380 00:20:27,960 --> 00:20:31,880 Speaker 1: Now it's better than I love you alive girl. But 381 00:20:32,400 --> 00:20:35,199 Speaker 1: a live girl being a nickname is very weird. It 382 00:20:35,280 --> 00:20:38,040 Speaker 1: just sounds like an algorithm trying to fuck I love 383 00:20:38,080 --> 00:20:41,280 Speaker 1: you Alive girl. And then the other one said, I 384 00:20:41,320 --> 00:20:43,760 Speaker 1: will show you with my body and my lips and 385 00:20:43,840 --> 00:20:46,879 Speaker 1: my eyes very soon. I want to hold you tight. 386 00:20:46,960 --> 00:20:49,240 Speaker 1: I want to kiss your lips. I love you, I 387 00:20:49,280 --> 00:20:56,720 Speaker 1: am in love with you. I want fuck, I want 388 00:20:57,720 --> 00:21:00,480 Speaker 1: I know that's the future. The way I'm going. I 389 00:21:00,520 --> 00:21:03,640 Speaker 1: think Matt Drudge wants us all to know that that's 390 00:21:03,680 --> 00:21:07,120 Speaker 1: the future. At least the Drudge Report is always he's 391 00:21:07,240 --> 00:21:09,240 Speaker 1: showing his ass a little bit because he has a 392 00:21:09,359 --> 00:21:12,800 Speaker 1: very clear robot sex bias, bias towards them. He just 393 00:21:12,920 --> 00:21:20,800 Speaker 1: reports on any robot sex story. He's like, they're coming. Yeah, 394 00:21:21,240 --> 00:21:23,159 Speaker 1: I mean, look, third World prison. That's kind of a 395 00:21:23,160 --> 00:21:25,760 Speaker 1: good I thought it was. When I started reading that excerpt, 396 00:21:25,800 --> 00:21:29,560 Speaker 1: I was like, where was this? Sounds like a problematic 397 00:21:29,560 --> 00:21:31,560 Speaker 1: pickup artist type ship. And then he's like a woman 398 00:21:31,560 --> 00:21:34,600 Speaker 1: who can get me hed of the third World prison? Yeah, 399 00:21:35,600 --> 00:21:39,199 Speaker 1: he was like about to drop some Neil Strauss. Yeah, exactly. 400 00:21:40,840 --> 00:21:42,919 Speaker 1: All right, we're gonna take a quick break. We'll be 401 00:21:43,040 --> 00:21:55,960 Speaker 1: right back, and we're back. And because we have to 402 00:21:56,040 --> 00:21:59,240 Speaker 1: check in with him on all news stories, a reporter 403 00:21:59,320 --> 00:22:04,399 Speaker 1: asked Trump he thought of the Bezost divorce, and he commented, 404 00:22:04,600 --> 00:22:08,040 Speaker 1: it's going to be a beauty. It's gonna be a beauty. Wow. 405 00:22:08,400 --> 00:22:10,760 Speaker 1: He's just he's just so jealous. Man, he wishes he 406 00:22:10,800 --> 00:22:15,520 Speaker 1: could split fucking three dollars with somebody. Union. So let's 407 00:22:15,560 --> 00:22:19,520 Speaker 1: talk about his shutdown that he is going to own. 408 00:22:19,760 --> 00:22:22,480 Speaker 1: He doesn't care, He's going to own it, he said, 409 00:22:22,720 --> 00:22:26,959 Speaker 1: as we said last month, and now it's like they're right, 410 00:22:27,280 --> 00:22:29,920 Speaker 1: I mean, yeah, so what's the latest. Well, it's the 411 00:22:30,000 --> 00:22:33,199 Speaker 1: late Well, Wednesday was a pretty epic day. So he 412 00:22:33,320 --> 00:22:37,240 Speaker 1: sat down with some nervous centrist Republicans and just Republican 413 00:22:37,280 --> 00:22:40,359 Speaker 1: senators who are like, hey, this is uh, this is 414 00:22:40,400 --> 00:22:42,399 Speaker 1: not a great look for us right now, and like 415 00:22:42,440 --> 00:22:44,360 Speaker 1: they were telling him, they're like, we're not really sure 416 00:22:44,440 --> 00:22:47,000 Speaker 1: this is the best plan. And then apparently that meeting 417 00:22:47,040 --> 00:22:49,199 Speaker 1: just sort of ended, and like Lisa Murkowski came out. 418 00:22:49,240 --> 00:22:51,440 Speaker 1: They're like, oh, well, so what what came to the meeting? 419 00:22:51,720 --> 00:22:53,719 Speaker 1: Like did he did you guys find a solution? She's like, 420 00:22:54,119 --> 00:22:57,600 Speaker 1: I wish he gave more detail on how we'll do that, 421 00:22:57,680 --> 00:22:59,840 Speaker 1: and just smiled and like let the elevator doors close 422 00:23:00,000 --> 00:23:03,199 Speaker 1: and the vaporized, and then you know, Marco Ruby I 423 00:23:03,200 --> 00:23:04,800 Speaker 1: was like, we just have to stick together on this, 424 00:23:05,560 --> 00:23:09,320 Speaker 1: which is like, okay, whatever. So clearly, I think even 425 00:23:09,520 --> 00:23:11,800 Speaker 1: despite all their nervousness and being like this is really 426 00:23:11,800 --> 00:23:13,720 Speaker 1: going to even hit my state pretty hard, Like what's 427 00:23:13,760 --> 00:23:16,840 Speaker 1: the deal? Trump was just like, we need well full throttle. 428 00:23:16,960 --> 00:23:20,200 Speaker 1: So I'm sorry. Uh. And then he met with Democrats 429 00:23:20,440 --> 00:23:24,000 Speaker 1: and that did not go well at all, apparently, like 430 00:23:24,040 --> 00:23:26,600 Speaker 1: he just it seems like from some of the reporting, 431 00:23:26,720 --> 00:23:29,280 Speaker 1: a lot of the White House officials believed that they 432 00:23:29,320 --> 00:23:31,800 Speaker 1: could just drag the shutdown on long enough and the 433 00:23:31,920 --> 00:23:36,160 Speaker 1: Democrats would cave like they normally have. But since uh, 434 00:23:36,240 --> 00:23:40,760 Speaker 1: stella Nancy got her groove gavel back, she is like 435 00:23:40,960 --> 00:23:43,040 Speaker 1: not fun, funk out of here, Like I told you, 436 00:23:43,080 --> 00:23:46,200 Speaker 1: I've been saying from since the mid terms, there will 437 00:23:46,240 --> 00:23:50,320 Speaker 1: be no wall money ann. And apparently when that happened, 438 00:23:50,560 --> 00:23:53,400 Speaker 1: Trump slammed his fucking hands on the tiny little baby 439 00:23:53,400 --> 00:23:56,000 Speaker 1: hands on the desk and stormed out, uh and was 440 00:23:56,040 --> 00:23:58,399 Speaker 1: just like, well this is going nowhere. And so he 441 00:23:58,520 --> 00:24:00,520 Speaker 1: just threw a tantrum and was like I'm just going 442 00:24:00,600 --> 00:24:02,760 Speaker 1: to shut the government down because I can right and 443 00:24:02,880 --> 00:24:04,560 Speaker 1: just keep it shut down. But yeah, a lot of 444 00:24:04,560 --> 00:24:06,840 Speaker 1: people speculate to like, you know, he came out after 445 00:24:06,880 --> 00:24:09,080 Speaker 1: him like everything you hear that's fake, Like I don't 446 00:24:09,080 --> 00:24:11,760 Speaker 1: have Tantrum's right, I don't slime tables like I'm the 447 00:24:11,760 --> 00:24:16,960 Speaker 1: most literally, sir, your arms are folded and you're stomping 448 00:24:17,000 --> 00:24:21,880 Speaker 1: your feet. Are you sweating from the front of your pants? 449 00:24:21,920 --> 00:24:24,040 Speaker 1: But yeah, he just and then like Mike Pence came 450 00:24:24,119 --> 00:24:25,800 Speaker 1: was like, no, he was really nice in there. I 451 00:24:25,840 --> 00:24:28,040 Speaker 1: don't know, and he gave us candy. Yeah, that was 452 00:24:28,240 --> 00:24:32,719 Speaker 1: one of the Republicans. But Dick Durbin, the senator from Illinois, 453 00:24:32,760 --> 00:24:35,120 Speaker 1: the Democrat, he was like, well, it's true. He came 454 00:24:35,160 --> 00:24:37,680 Speaker 1: in and dropped some candy bars in front of Chuck 455 00:24:37,760 --> 00:24:39,480 Speaker 1: hum and said, I think you guys will enjoy these. 456 00:24:39,520 --> 00:24:42,600 Speaker 1: And he's like, but I don't think that substantively indicates anything, 457 00:24:43,240 --> 00:24:45,440 Speaker 1: just because he came in and brought candy, Like, right, 458 00:24:45,480 --> 00:24:48,280 Speaker 1: that's okay, So what like the fact of the matter remains, 459 00:24:48,280 --> 00:24:54,120 Speaker 1: like we're trying to get to a deal and maybe, yeah, 460 00:24:54,160 --> 00:25:01,080 Speaker 1: that didn't work. Goddamn it runs out days next time. 461 00:25:01,680 --> 00:25:03,280 Speaker 1: It should have been a hundred grand, it had been 462 00:25:03,359 --> 00:25:07,560 Speaker 1: many grands. It added up to a five billion, But like, yeah, 463 00:25:07,600 --> 00:25:09,080 Speaker 1: I think and other people saying, like, you know, he 464 00:25:09,160 --> 00:25:11,359 Speaker 1: just did this to try and frame the Democrats as 465 00:25:11,359 --> 00:25:13,680 Speaker 1: being unreasonable. I think just much in that same way 466 00:25:13,720 --> 00:25:16,120 Speaker 1: when he self owned in the Oval office and Mike 467 00:25:16,200 --> 00:25:20,760 Speaker 1: Pence tried to actually project himself like movie out of 468 00:25:20,760 --> 00:25:22,880 Speaker 1: the room, like that was like a play to try 469 00:25:22,880 --> 00:25:26,240 Speaker 1: and frame this differently, and I think it just didn't work. 470 00:25:26,880 --> 00:25:30,159 Speaker 1: So and the shutdown is starting to hurt people. I 471 00:25:30,200 --> 00:25:33,400 Speaker 1: mean it's been hurting people, but I mean, this will 472 00:25:33,440 --> 00:25:35,680 Speaker 1: be the first Friday where no one gets checked. Right 473 00:25:36,640 --> 00:25:39,320 Speaker 1: of Americans work paycheck to paychecks. Who are who are 474 00:25:39,560 --> 00:25:43,800 Speaker 1: these people that are going to work for free? Because 475 00:25:43,880 --> 00:25:47,119 Speaker 1: I can't, Like what would I would just leave and 476 00:25:47,160 --> 00:25:49,280 Speaker 1: then go get a different job that you know it 477 00:25:49,359 --> 00:25:51,960 Speaker 1: wasn't controlled by the government, But I don't. I mean, 478 00:25:52,000 --> 00:25:54,560 Speaker 1: I know some people they need obviously they need their jobs, 479 00:25:54,560 --> 00:25:56,879 Speaker 1: but like I would not go to work if you 480 00:25:56,920 --> 00:26:02,800 Speaker 1: ain't paying me fundamental as a fundamental point, I can't 481 00:26:02,880 --> 00:26:05,320 Speaker 1: keep doing this. Well, you know that's why the Coastguard 482 00:26:05,520 --> 00:26:08,919 Speaker 1: they had to uh distribute a tip sheet on like 483 00:26:09,040 --> 00:26:12,160 Speaker 1: basically telling a lot of these furloughed people who working 484 00:26:12,200 --> 00:26:14,320 Speaker 1: for the Coastguard who are like non essential and like 485 00:26:14,720 --> 00:26:16,760 Speaker 1: aren't even getting like literally like don't even come in 486 00:26:16,800 --> 00:26:18,560 Speaker 1: because we can't even pay you. But then they're the 487 00:26:18,640 --> 00:26:21,680 Speaker 1: essential people who are like, you gotta come in and 488 00:26:21,720 --> 00:26:24,000 Speaker 1: hopefully we'll pay you. But for those other ones, they 489 00:26:24,000 --> 00:26:25,919 Speaker 1: put a tip sheet out with just all kinds of 490 00:26:26,119 --> 00:26:30,239 Speaker 1: really like it's just the most unsympathetic, like it just 491 00:26:30,320 --> 00:26:33,760 Speaker 1: lacks any kind of understanding for what people are going through. 492 00:26:34,160 --> 00:26:36,800 Speaker 1: Because there was one that's like step four and they're like, 493 00:26:36,960 --> 00:26:40,600 Speaker 1: really great. Tip sheet just says supplement your income other 494 00:26:40,640 --> 00:26:43,000 Speaker 1: than cutting back on This is directly from the Coastguard. 495 00:26:43,040 --> 00:26:45,240 Speaker 1: This was distributed by the Coast Guard. Other than cutting 496 00:26:45,240 --> 00:26:46,800 Speaker 1: back on your expenses, the only are the way to 497 00:26:46,840 --> 00:26:49,360 Speaker 1: compensate for the loss of income is to add new income. 498 00:26:49,880 --> 00:26:55,159 Speaker 1: Be creative. Finding supplemental income during your furlough periodst literally 499 00:26:55,359 --> 00:26:57,440 Speaker 1: might be challenging, but here are a few ideas for 500 00:26:57,480 --> 00:27:00,200 Speaker 1: adding income. Have a garage sale, clean out your at 501 00:27:00,200 --> 00:27:06,200 Speaker 1: a basement, sell unwanted larger ticket items through the newspaper online, 502 00:27:06,440 --> 00:27:09,640 Speaker 1: offer to watch children, walk, pets, or house it. Turn 503 00:27:09,680 --> 00:27:15,679 Speaker 1: your hobby into income what the h and then have 504 00:27:15,800 --> 00:27:18,520 Speaker 1: untapped teaching skills and expertise tutor students, give music or 505 00:27:18,520 --> 00:27:22,639 Speaker 1: sports lessons. Become a mystery shopper. Retailers are desperate to 506 00:27:22,760 --> 00:27:25,520 Speaker 1: check how their in store customer services and will employ 507 00:27:25,600 --> 00:27:28,320 Speaker 1: YouTube shop and rate their service to be fair. Those 508 00:27:28,400 --> 00:27:34,320 Speaker 1: all are valid options, they are, but yeah, it's like 509 00:27:34,359 --> 00:27:37,160 Speaker 1: it's one of those things too, where like offering people 510 00:27:37,160 --> 00:27:39,560 Speaker 1: these empty tips when you know you have people who 511 00:27:39,560 --> 00:27:42,400 Speaker 1: are like already like I'm pawning items off to pay 512 00:27:42,480 --> 00:27:47,480 Speaker 1: for my medic eggs from my ovaries. Right, that's where 513 00:27:47,560 --> 00:27:50,160 Speaker 1: like you'd again, I mean, not like I say, you'd 514 00:27:50,160 --> 00:27:52,560 Speaker 1: hope that the White House understands what that means. But 515 00:27:52,600 --> 00:27:55,439 Speaker 1: they're willing to just put it's just eight thod people's 516 00:27:55,480 --> 00:27:57,520 Speaker 1: lives on the line. It's so condescending. I mean, the 517 00:27:57,520 --> 00:28:00,200 Speaker 1: thing that the conservatives are supposed to be so agree 518 00:28:00,200 --> 00:28:02,159 Speaker 1: about is like the idea of a nanny state that 519 00:28:02,200 --> 00:28:05,040 Speaker 1: takes care of you. But then when ship comes down, 520 00:28:05,160 --> 00:28:08,400 Speaker 1: they are like, Okay, here's how money works. You can 521 00:28:08,520 --> 00:28:14,120 Speaker 1: become a mystery shopper, become a piano sergeant how to 522 00:28:14,119 --> 00:28:17,960 Speaker 1: play the piano, like surgeons make over six like six 523 00:28:18,000 --> 00:28:21,560 Speaker 1: figure incomes, like hold on, it just assumes like that 524 00:28:21,640 --> 00:28:23,880 Speaker 1: this is some ship that companies do all the time 525 00:28:23,920 --> 00:28:26,919 Speaker 1: to where they just assume that your time is not 526 00:28:27,040 --> 00:28:30,720 Speaker 1: being valuably spent. That like during the sixteen hours that 527 00:28:30,760 --> 00:28:34,200 Speaker 1: you're not working for them, You're not doing anything that 528 00:28:34,240 --> 00:28:36,960 Speaker 1: you need to do. It's just like your time, Well 529 00:28:37,040 --> 00:28:39,720 Speaker 1: you could just be working more like you could work 530 00:28:39,920 --> 00:28:43,360 Speaker 1: just like yeah, yeah exactly. It's like no, like I'm 531 00:28:43,360 --> 00:28:45,160 Speaker 1: surprised one of them, like the last one was like 532 00:28:45,400 --> 00:28:54,320 Speaker 1: your kids got jobs, yet no thought to childcare, none 533 00:28:54,320 --> 00:28:56,600 Speaker 1: of that. Ship. I don't even I honestly don't think 534 00:28:56,800 --> 00:29:01,400 Speaker 1: Trump even thought about or even knew like the the ramifications. Like, 535 00:29:01,440 --> 00:29:03,240 Speaker 1: I don't think when he shut the government down he 536 00:29:03,320 --> 00:29:04,960 Speaker 1: was like, oh, these people are going to be out 537 00:29:04,960 --> 00:29:07,120 Speaker 1: of work. I don't even yeah, I think he didn't 538 00:29:07,120 --> 00:29:09,400 Speaker 1: even like that, didn't even like, oh, people get paid 539 00:29:09,400 --> 00:29:11,320 Speaker 1: by the government. I don't even think that dawned on him. 540 00:29:11,480 --> 00:29:12,760 Speaker 1: But even if it did, what do you have cared? 541 00:29:12,760 --> 00:29:15,080 Speaker 1: I don't think that people at the in the White 542 00:29:15,080 --> 00:29:17,480 Speaker 1: House in his administration, we're like, yeah, we didn't really 543 00:29:17,520 --> 00:29:19,960 Speaker 1: realize that. They gave a quote that is like we 544 00:29:20,000 --> 00:29:23,120 Speaker 1: are now working to understand the scope of the impact 545 00:29:23,160 --> 00:29:25,440 Speaker 1: of the shutdown, right or the breath of the impact 546 00:29:25,440 --> 00:29:30,240 Speaker 1: of There you are, that's leader of the free world, 547 00:29:30,600 --> 00:29:34,560 Speaker 1: and you don't know that people work for the government. 548 00:29:34,560 --> 00:29:38,840 Speaker 1: I mean Nancy Pelosi. Nancy Pelosi's quote that you know, 549 00:29:39,000 --> 00:29:41,719 Speaker 1: he thinks that everybody can just ask their daddy for 550 00:29:41,800 --> 00:29:46,080 Speaker 1: more money, right, kind of a sick burn. Yeah, that's great, 551 00:29:46,240 --> 00:29:48,520 Speaker 1: but it's just, uh, I mean, it's another indictment on 552 00:29:48,640 --> 00:29:52,120 Speaker 1: this capitalist system we have here. We're like, we're like, yeah, hi, okay, 553 00:29:52,120 --> 00:29:53,720 Speaker 1: you don't have a job. And also the way this 554 00:29:53,760 --> 00:29:56,440 Speaker 1: thing set up, more than three quarters of you are 555 00:29:56,680 --> 00:29:59,880 Speaker 1: like relying living paycheck to paycheck with no safety that 556 00:30:00,200 --> 00:30:02,360 Speaker 1: and even if there was, Look, the government shut down 557 00:30:02,360 --> 00:30:05,000 Speaker 1: because we want to build a racist ask wall. So 558 00:30:06,320 --> 00:30:10,760 Speaker 1: and the top story on Drudge from US the day 559 00:30:10,840 --> 00:30:15,120 Speaker 1: yesterday was, uh, you know, basically economists or warning that 560 00:30:15,160 --> 00:30:18,440 Speaker 1: a catastrophe is in the making if the government closure 561 00:30:18,480 --> 00:30:22,400 Speaker 1: continues for weeks because the FDA is like we are 562 00:30:22,920 --> 00:30:26,160 Speaker 1: have diminished capacity to even check on like food standards now, 563 00:30:26,480 --> 00:30:32,280 Speaker 1: like especially with vegetables, soft cheeses personally. Yeah, seriously, because 564 00:30:32,320 --> 00:30:34,760 Speaker 1: I mean what happens when you know, some kind of 565 00:30:34,920 --> 00:30:37,240 Speaker 1: massive funk up occurs already talking about t s A 566 00:30:37,360 --> 00:30:40,160 Speaker 1: workers who are like calling in sick because they're like, sorry, 567 00:30:40,160 --> 00:30:42,640 Speaker 1: no money, then I'm not coming in. Yeah, this is 568 00:30:42,680 --> 00:30:46,400 Speaker 1: really not good for my relationship with Robert Evans, because 569 00:30:46,400 --> 00:30:49,280 Speaker 1: he's like a doomsday prepper and he's like, I told 570 00:30:49,320 --> 00:30:52,840 Speaker 1: you you can't trust food. That's why he caned lettuce. 571 00:30:56,120 --> 00:31:01,800 Speaker 1: That's why somebody did ask Trump, you know, you're a 572 00:31:01,840 --> 00:31:05,520 Speaker 1: real estate guy, how do you think as a landlord, 573 00:31:05,600 --> 00:31:08,320 Speaker 1: how do you think you would deal with people being 574 00:31:08,360 --> 00:31:10,560 Speaker 1: laid on their rent? And he was like, oh, you know, 575 00:31:10,640 --> 00:31:13,920 Speaker 1: landlords are very flexible. This coming from a guy who 576 00:31:14,040 --> 00:31:17,680 Speaker 1: has like evicted people the day after Christmas. Yeah, what 577 00:31:17,720 --> 00:31:19,040 Speaker 1: do you say, Like they're He's like, they'll know, they're 578 00:31:19,040 --> 00:31:21,680 Speaker 1: good for it. Yeah, they're they'll be good for you know. Yeah, 579 00:31:21,840 --> 00:31:25,600 Speaker 1: I mean look great, they're great logic to use amid that. 580 00:31:25,720 --> 00:31:27,840 Speaker 1: And then I mean, as of now, we haven't seen 581 00:31:27,960 --> 00:31:32,640 Speaker 1: his cool visit to the border yet, but there's some 582 00:31:32,760 --> 00:31:35,360 Speaker 1: wall news that came out on NBC where they're like, uh, 583 00:31:35,480 --> 00:31:38,080 Speaker 1: the like Department of Homeland Security or I think or ICE, 584 00:31:38,160 --> 00:31:41,000 Speaker 1: they were sitting on a report that like last year, 585 00:31:41,360 --> 00:31:43,560 Speaker 1: they asked marines to see if they could get through 586 00:31:43,800 --> 00:31:48,360 Speaker 1: these wall prototypes, which just regular as tools imps. This 587 00:31:48,400 --> 00:31:51,040 Speaker 1: is this is these are steel slats. They can't get through, 588 00:31:51,120 --> 00:31:53,160 Speaker 1: Drugs can't get through, nothing, you get through Brown people 589 00:31:53,160 --> 00:31:55,720 Speaker 1: can't get through well, the Marines just use a handsaw 590 00:31:55,960 --> 00:31:58,520 Speaker 1: and cut the ship. And they're like, we just saw 591 00:31:58,640 --> 00:32:01,760 Speaker 1: it open and they saw like that one you get 592 00:32:01,760 --> 00:32:04,280 Speaker 1: a home depot like a quick saw. Really yeah, and 593 00:32:04,320 --> 00:32:06,800 Speaker 1: they were and then like DHS was sitting on that 594 00:32:06,840 --> 00:32:09,720 Speaker 1: report because they're like yo, yo, Like you want people 595 00:32:09,760 --> 00:32:12,800 Speaker 1: to know that this isn't even a fucking functional wall 596 00:32:13,200 --> 00:32:15,680 Speaker 1: in that sense as a barrier. I mean, there's there's 597 00:32:15,680 --> 00:32:19,760 Speaker 1: some pretty crazy quotes from like, uh, one MPR reporter 598 00:32:19,880 --> 00:32:23,240 Speaker 1: talked to a head of the border patrol in the 599 00:32:23,320 --> 00:32:26,560 Speaker 1: Rio Grand Valley and he said that a literal wall 600 00:32:26,760 --> 00:32:29,200 Speaker 1: is like needed maybe in a couple of places. And 601 00:32:29,240 --> 00:32:31,200 Speaker 1: this is like somebody who was like very strong on 602 00:32:31,280 --> 00:32:33,440 Speaker 1: border stuff. He was like, you have the need for 603 00:32:33,480 --> 00:32:36,160 Speaker 1: a physical barrier. You have the need for technology with 604 00:32:36,200 --> 00:32:39,640 Speaker 1: the infrared, uh you know, the ground sensors and cameras, 605 00:32:39,840 --> 00:32:43,000 Speaker 1: and you have the personnel aspect as well. And she 606 00:32:43,120 --> 00:32:45,040 Speaker 1: was like, yeah, but the President talks about this sort 607 00:32:45,040 --> 00:32:47,640 Speaker 1: of wall from sea to Shining Sea. He was like yeah, 608 00:32:47,720 --> 00:32:50,680 Speaker 1: I know. Honestly, I don't think that's gonna work. I mean, 609 00:32:50,880 --> 00:32:53,560 Speaker 1: if you look at Big Bend, you'll have areas that 610 00:32:53,600 --> 00:32:56,080 Speaker 1: are a thirty foot cliff down to the Rio Grand 611 00:32:56,160 --> 00:32:58,920 Speaker 1: and to put another thirty foot section on top of 612 00:32:58,960 --> 00:33:03,880 Speaker 1: that seems kind of redundant. Yeah yeah, well, huh, we'll see. 613 00:33:04,520 --> 00:33:06,840 Speaker 1: I mean, not to mention all the imminent domain ship 614 00:33:06,880 --> 00:33:08,760 Speaker 1: that would have to like will go down and trying 615 00:33:08,760 --> 00:33:10,520 Speaker 1: to be like, well we need this, you know, property 616 00:33:10,560 --> 00:33:13,280 Speaker 1: to create this no go zone. Right, Okay, So the 617 00:33:13,320 --> 00:33:16,080 Speaker 1: people who work on the border don't want a border 618 00:33:16,080 --> 00:33:18,800 Speaker 1: wall like he's talking about the American people don't want 619 00:33:18,800 --> 00:33:24,640 Speaker 1: the border wall, but and culture and Russia Limbaugh, Yeah, 620 00:33:25,200 --> 00:33:28,240 Speaker 1: well that's fair. But yeah, we'll see. I mean eventually 621 00:33:28,280 --> 00:33:32,120 Speaker 1: maybe Fox News will end the shutdown. That's right. You know, 622 00:33:32,160 --> 00:33:36,280 Speaker 1: if anybody has the power, Trump won. Den's nothing. All right, 623 00:33:36,360 --> 00:33:40,960 Speaker 1: let's talk about ship that doesn't really matter to actual Americans. 624 00:33:41,040 --> 00:33:45,760 Speaker 1: But Steve King has gifted the GOP with a moment 625 00:33:45,960 --> 00:33:48,120 Speaker 1: for them to kind of do the right thing. Just 626 00:33:48,240 --> 00:33:50,840 Speaker 1: be like, okay, here is a very clear cut way 627 00:33:50,880 --> 00:33:53,480 Speaker 1: that you can disagree with me. I mean, how are 628 00:33:53,520 --> 00:33:56,000 Speaker 1: they doing with that? Well, you know, the Iowa Nazi 629 00:33:56,040 --> 00:34:00,000 Speaker 1: taints gabs Steve King. Uh he just he's added again 630 00:34:00,040 --> 00:34:03,520 Speaker 1: in uh in the in the white vans, because he 631 00:34:04,200 --> 00:34:05,920 Speaker 1: in The New York Times basically had to quote that 632 00:34:05,920 --> 00:34:09,560 Speaker 1: said white nationalist, white supremacist Western civilization. How did that 633 00:34:09,640 --> 00:34:12,600 Speaker 1: language become offensive? Why did I sit in class teaching 634 00:34:12,600 --> 00:34:14,839 Speaker 1: me sitting classes teaching me about the merits of our 635 00:34:14,880 --> 00:34:20,080 Speaker 1: history and our civilization. Okay, so this is really easy, guys. Here, 636 00:34:20,080 --> 00:34:23,680 Speaker 1: you go censure this man, do something. Don't just push 637 00:34:23,719 --> 00:34:25,319 Speaker 1: back around mid terms and be like, oh, well I 638 00:34:25,320 --> 00:34:27,840 Speaker 1: don't agree, And then you can come out unequivocally and 639 00:34:27,840 --> 00:34:31,280 Speaker 1: be like, white nationalism, white supremacy has no fucking place 640 00:34:31,640 --> 00:34:34,320 Speaker 1: in the lexicon of this party or the government or 641 00:34:34,400 --> 00:34:38,480 Speaker 1: this country at all. But again, they'll just, I think, 642 00:34:38,520 --> 00:34:42,320 Speaker 1: sit back and you know, probably just pretend like nothing happened. 643 00:34:42,760 --> 00:34:45,160 Speaker 1: But it's a it's another like moment where like Steve 644 00:34:45,239 --> 00:34:47,560 Speaker 1: King is just outwardly out here like, yeah, I'm a 645 00:34:47,560 --> 00:34:51,200 Speaker 1: white spremacist problem, Yeah, exactly. Didn't that become a bad word? 646 00:34:52,960 --> 00:34:56,400 Speaker 1: Why what happened? Then? Part the only part of the 647 00:34:56,520 --> 00:34:59,160 Speaker 1: latest point, at the latest possible moment. I think they'll like, 648 00:34:59,200 --> 00:35:01,280 Speaker 1: I'll tell you the late this moment where it became 649 00:35:01,320 --> 00:35:06,080 Speaker 1: offensive and then centuries before that, yes, right, but again, look, 650 00:35:06,200 --> 00:35:08,719 Speaker 1: well what you know, but our president not disavowing any 651 00:35:08,760 --> 00:35:11,279 Speaker 1: of it. It does not help anything. It like makes us, 652 00:35:11,560 --> 00:35:14,000 Speaker 1: It makes these people think that what they're doing is okay. 653 00:35:14,120 --> 00:35:16,600 Speaker 1: We had an opportunity to say we're not okay with us, 654 00:35:16,600 --> 00:35:19,680 Speaker 1: and he still was just like they're very fine people. Yeah, 655 00:35:19,960 --> 00:35:21,920 Speaker 1: on both sides. And I think that's the type of 656 00:35:21,920 --> 00:35:25,280 Speaker 1: political correctness that I do think we need to be 657 00:35:25,480 --> 00:35:28,880 Speaker 1: on board with. Is the stuff that discourages people from, 658 00:35:28,920 --> 00:35:34,960 Speaker 1: you know, being openly racist. Well and yes, absolutely, yes absolutely. 659 00:35:34,960 --> 00:35:37,160 Speaker 1: But you know what's interesting is that I have conversations 660 00:35:37,719 --> 00:35:41,839 Speaker 1: on Instagram regularly because as a black person, I talk 661 00:35:41,920 --> 00:35:44,520 Speaker 1: about like how I'm proud of being black, like regularly 662 00:35:44,560 --> 00:35:47,600 Speaker 1: I embraced being black, and then like some white person 663 00:35:47,600 --> 00:35:50,080 Speaker 1: will slide into my d ms without fail whenever I 664 00:35:50,120 --> 00:35:52,479 Speaker 1: post a video about this, and they'll say, how come 665 00:35:52,600 --> 00:35:55,279 Speaker 1: you can say that you have black pride but I 666 00:35:55,320 --> 00:35:57,440 Speaker 1: can't say I have a white pride? And I'm like, 667 00:35:57,520 --> 00:35:59,320 Speaker 1: do we really have to have this conversation? And I'm like, 668 00:35:59,360 --> 00:36:01,480 Speaker 1: do you not know the history of that phrase, like 669 00:36:01,560 --> 00:36:03,759 Speaker 1: white pride? Like it's a lot of heinous things have 670 00:36:03,800 --> 00:36:06,239 Speaker 1: been done to black and brown people under the gun, 671 00:36:06,360 --> 00:36:09,239 Speaker 1: under the name on the umbrella of white pride. So like, 672 00:36:09,360 --> 00:36:11,439 Speaker 1: if you're a white person and you want to say 673 00:36:11,480 --> 00:36:14,799 Speaker 1: that word or that phrase, I'm sorry you can't, even 674 00:36:14,840 --> 00:36:16,839 Speaker 1: if it's no malice and it's just you just are 675 00:36:16,840 --> 00:36:18,879 Speaker 1: proud of being a white person, Like, you can't say 676 00:36:18,880 --> 00:36:21,160 Speaker 1: it because it's been ruined by some really awful white 677 00:36:21,200 --> 00:36:23,800 Speaker 1: people that use it to kill people and just ignores 678 00:36:23,840 --> 00:36:25,960 Speaker 1: the fact that as people of color were taught that 679 00:36:26,120 --> 00:36:28,600 Speaker 1: or you're inundated with the idea that we are less than. 680 00:36:29,239 --> 00:36:31,840 Speaker 1: So that's a way to overcome that by our saying like, no, 681 00:36:31,880 --> 00:36:33,799 Speaker 1: I can be proud of being African American, I can 682 00:36:33,840 --> 00:36:37,680 Speaker 1: be proud of who I am because that is counter 683 00:36:37,760 --> 00:36:42,920 Speaker 1: to what I've been taught. So yeah, I remember, like 684 00:36:42,960 --> 00:36:44,960 Speaker 1: as a kid, someone was like, well, if there's b 685 00:36:45,080 --> 00:36:52,839 Speaker 1: et history every channel, right, White History month? Yeah, stop it, 686 00:36:52,880 --> 00:36:56,960 Speaker 1: where's our parade? Right all the time? Yes, And everyone 687 00:36:57,080 --> 00:37:00,759 Speaker 1: explained it to me without any historical context or any 688 00:37:00,800 --> 00:37:03,080 Speaker 1: cultural Yeah, just on the just on the face of 689 00:37:03,080 --> 00:37:07,040 Speaker 1: what you're saying exactly, don't use history or sociological care 690 00:37:07,080 --> 00:37:12,600 Speaker 1: about that stuff. Facts facts, Uh, well, America, we're looking 691 00:37:12,760 --> 00:37:16,680 Speaker 1: into the future or experts looking into the future. In 692 00:37:16,840 --> 00:37:22,040 Speaker 1: London have predicted that the United States will be the 693 00:37:22,080 --> 00:37:27,800 Speaker 1: third largest economy in the world come and with China. 694 00:37:28,080 --> 00:37:30,480 Speaker 1: So people have been talking about how China is going 695 00:37:30,560 --> 00:37:33,839 Speaker 1: to surpass the US for a while, like thirty years. Yeah. 696 00:37:33,880 --> 00:37:36,440 Speaker 1: I remember as a kid, like in kindergarten, my parents 697 00:37:36,440 --> 00:37:39,320 Speaker 1: like usually learn Chinese. Right now, yeah, right now his 698 00:37:39,400 --> 00:37:42,400 Speaker 1: neck and neck for g d P, the US is 699 00:37:42,440 --> 00:37:45,359 Speaker 1: a little bit ahead of China. By twenty thirty, they're 700 00:37:45,400 --> 00:37:49,160 Speaker 1: projecting China's GDP will be sixty four trillion in the 701 00:37:49,239 --> 00:37:51,640 Speaker 1: United States will be thirty one trillion. So it's like 702 00:37:51,680 --> 00:37:56,000 Speaker 1: not even gonna be close. What No, that's so the 703 00:37:56,280 --> 00:37:59,880 Speaker 1: next eleven years are about to be lit well. So 704 00:38:00,360 --> 00:38:03,440 Speaker 1: the prediction is actually based on something that makes a 705 00:38:03,440 --> 00:38:08,279 Speaker 1: lot of sense that basically, as technology spreads and economic 706 00:38:08,440 --> 00:38:13,360 Speaker 1: equality becomes greater u where like just around the world, 707 00:38:13,600 --> 00:38:18,200 Speaker 1: like with the spread of technology and well, so the 708 00:38:18,239 --> 00:38:23,120 Speaker 1: idea being that countries that have bigger populations, which China 709 00:38:23,239 --> 00:38:25,080 Speaker 1: and India, is going to be in second place. And 710 00:38:25,120 --> 00:38:28,000 Speaker 1: the idea is that because there will be fewer and 711 00:38:28,040 --> 00:38:32,880 Speaker 1: fewer people in just complete abject poverty in those countries 712 00:38:33,000 --> 00:38:36,440 Speaker 1: that just by the very fact of them having billions 713 00:38:36,480 --> 00:38:39,799 Speaker 1: and billions of people. They will kind of catch up 714 00:38:39,800 --> 00:38:42,279 Speaker 1: and overtake the United States, so it won't be like 715 00:38:42,520 --> 00:38:45,279 Speaker 1: on a per capita basis, but just in terms of 716 00:38:45,280 --> 00:38:49,720 Speaker 1: being a global power, China will double the United States 717 00:38:49,800 --> 00:38:53,520 Speaker 1: and India will they're predicting be at forty six trillion, 718 00:38:53,640 --> 00:38:57,400 Speaker 1: while the United States will be at thirty one. So yeah, 719 00:38:57,520 --> 00:39:00,880 Speaker 1: I'm hoping that's the case because the those countries have 720 00:39:01,000 --> 00:39:04,080 Speaker 1: way more people and they need more money. Yeah yeah, 721 00:39:04,200 --> 00:39:08,840 Speaker 1: I mean, yeah, we could use some economic quality. Yeah yeah, 722 00:39:08,880 --> 00:39:10,960 Speaker 1: I mean I already have our own cast system, but 723 00:39:12,239 --> 00:39:14,040 Speaker 1: be cool. That might be cool. That might be something 724 00:39:14,040 --> 00:39:16,840 Speaker 1: to look forward to. Yeah, but anyways, that that'll be 725 00:39:16,880 --> 00:39:21,640 Speaker 1: interesting to see how how that shifts things there. They 726 00:39:21,680 --> 00:39:25,160 Speaker 1: still have that too child per household, so they got 727 00:39:25,239 --> 00:39:28,280 Speaker 1: rid of that of that, but it's they're still feeling 728 00:39:28,320 --> 00:39:33,799 Speaker 1: the effects because there's a huge difference both in terms 729 00:39:33,800 --> 00:39:36,959 Speaker 1: of like generationally, they have this huge generation that's about 730 00:39:37,000 --> 00:39:41,720 Speaker 1: to retire and they're the working age generation is actually 731 00:39:41,760 --> 00:39:43,680 Speaker 1: going to be way smaller because they were part of 732 00:39:43,680 --> 00:39:48,239 Speaker 1: the two or one child policy and that's actually bad 733 00:39:48,280 --> 00:39:52,200 Speaker 1: for their economy and it's called the dependency ratio. And 734 00:39:52,239 --> 00:39:56,040 Speaker 1: then there's also the fact that most Chinese families were 735 00:39:56,160 --> 00:40:00,359 Speaker 1: looking for boys, and so there's a huge imbalance between uh, 736 00:40:00,400 --> 00:40:05,600 Speaker 1: the number of men and women and Chinese right, yeah, well, 737 00:40:05,719 --> 00:40:07,839 Speaker 1: like there's a lot of that. I think there's an 738 00:40:07,960 --> 00:40:10,279 Speaker 1: entire culture of Chinese men who are just like, yeah, no, 739 00:40:10,360 --> 00:40:13,080 Speaker 1: I'm never gonna like find somebody like where. We gave 740 00:40:13,160 --> 00:40:15,120 Speaker 1: up on that like a long time ago, and we're 741 00:40:15,120 --> 00:40:18,120 Speaker 1: just like not even dating. We're just a gamble. I 742 00:40:18,120 --> 00:40:20,719 Speaker 1: should move there because I'm already I'm I'm right there. 743 00:40:20,840 --> 00:40:23,600 Speaker 1: You can just join that. Yeah, a is no different. 744 00:40:24,840 --> 00:40:29,000 Speaker 1: It's the same thing. I quit. I'm gonna be single forever. 745 00:40:29,040 --> 00:40:34,839 Speaker 1: I'm gonna do improv. Alright, we're gonna take another quick break. 746 00:40:34,840 --> 00:40:49,279 Speaker 1: We'll be right back. And we're back. And there's a 747 00:40:49,320 --> 00:40:53,400 Speaker 1: story out of Facebook what it's like to work there 748 00:40:54,040 --> 00:40:59,880 Speaker 1: and apparently that sort of souffle of high ambition and 749 00:41:00,120 --> 00:41:05,880 Speaker 1: like positivity, like bullshit Silicon Valley positivity. Like you, guys, 750 00:41:05,880 --> 00:41:09,800 Speaker 1: we're out here changing the world by bringing people closer together. 751 00:41:09,960 --> 00:41:14,040 Speaker 1: You sound like a weird Nick Cage character. Oh he 752 00:41:15,080 --> 00:41:17,440 Speaker 1: we're changing the world. The social network would have been 753 00:41:17,440 --> 00:41:22,920 Speaker 1: so much better, smart Zucker, but also you know, along 754 00:41:22,920 --> 00:41:25,839 Speaker 1: with the pr scrutiny, just everybody's like walking around with 755 00:41:25,880 --> 00:41:28,560 Speaker 1: like a forced smile on their face, just being like, WHOA, 756 00:41:28,640 --> 00:41:30,359 Speaker 1: this is great, man, I love it. I love all 757 00:41:30,480 --> 00:41:34,960 Speaker 1: you guys. And meanwhile everyone's just like really not thrilled 758 00:41:35,200 --> 00:41:38,920 Speaker 1: with working there. It went from the number one happiest 759 00:41:38,920 --> 00:41:42,200 Speaker 1: place to work in America to number seven in the 760 00:41:42,239 --> 00:41:45,320 Speaker 1: past year, which is still pretty happy, but but people 761 00:41:45,400 --> 00:41:49,520 Speaker 1: are to last. But there, it really seems like the 762 00:41:49,800 --> 00:41:54,279 Speaker 1: on an individual basis, the way people feel is reflected 763 00:41:54,360 --> 00:41:57,360 Speaker 1: in how they operate as a company on the whole, 764 00:41:57,640 --> 00:42:00,359 Speaker 1: Like there was this dude ahead of Paul to see 765 00:42:00,440 --> 00:42:04,759 Speaker 1: Joel Kaplan caused an internal uproar when he went to 766 00:42:05,200 --> 00:42:09,360 Speaker 1: the hearing of Judge Brett Kavanaugh in support of Brett Kavanaugh. 767 00:42:10,920 --> 00:42:14,440 Speaker 1: That's not great, and so they got real mad about that. 768 00:42:14,600 --> 00:42:19,040 Speaker 1: And uh, they had a sexual harassment like, you know, 769 00:42:19,160 --> 00:42:23,000 Speaker 1: meeting with like all the employees, and this girl got 770 00:42:23,080 --> 00:42:25,480 Speaker 1: up and was like, I was reticent to speak because 771 00:42:25,520 --> 00:42:27,719 Speaker 1: the pressure for us to act as though everything is 772 00:42:27,760 --> 00:42:29,920 Speaker 1: fine and that we love working here is so great 773 00:42:29,960 --> 00:42:32,800 Speaker 1: that it hurts. There shouldn't be this pressure to pretend 774 00:42:32,800 --> 00:42:35,920 Speaker 1: to love something when I don't feel this way. Uh 775 00:42:36,400 --> 00:42:40,279 Speaker 1: and and the place went nuts. Everyone was like, fuck, yes, 776 00:42:40,440 --> 00:42:43,640 Speaker 1: finally somebody's saying it was that in response to Homeboy 777 00:42:43,680 --> 00:42:47,359 Speaker 1: going to the being at Yeah, exactly, and just like 778 00:42:47,440 --> 00:42:50,520 Speaker 1: I think generally the culture, and she was specifically addressing 779 00:42:50,600 --> 00:42:54,920 Speaker 1: Cheryl Sandberg, who is Miss Queen Lean in herself, was 780 00:42:55,000 --> 00:42:57,399 Speaker 1: just like, come on, guys, you can just suck it up. 781 00:42:57,560 --> 00:42:59,279 Speaker 1: Just something should be called suck it up, just like 782 00:42:59,320 --> 00:43:02,640 Speaker 1: what did George get to you guys to write I 783 00:43:02,680 --> 00:43:05,839 Speaker 1: see what's going on in here? Paying your phone bill? 784 00:43:06,280 --> 00:43:09,320 Speaker 1: So do we know now what the happiest place to 785 00:43:09,360 --> 00:43:14,640 Speaker 1: work is. It's actually this podcast? Yeah yeah, uh no, 786 00:43:14,760 --> 00:43:16,560 Speaker 1: I have no idea actually, but that would be a 787 00:43:16,560 --> 00:43:20,040 Speaker 1: good thing. Let's I feel like it's DreamWorks. Let's see, 788 00:43:20,040 --> 00:43:23,000 Speaker 1: according to I've been to that campus and it's they 789 00:43:23,160 --> 00:43:28,040 Speaker 1: have Yeah, they have their cafeteria alone is reason. Well, 790 00:43:28,080 --> 00:43:30,600 Speaker 1: I'm sure there's like a happiness arms race with Pixar. 791 00:43:31,040 --> 00:43:36,960 Speaker 1: Pixars places like well, I'll be it very problematic for right, right, 792 00:43:37,360 --> 00:43:40,640 Speaker 1: but they have all those like little tree houses. Everybody 793 00:43:40,680 --> 00:43:43,360 Speaker 1: has their own individual little treehouse that they work in side, 794 00:43:43,480 --> 00:43:46,560 Speaker 1: you know, and Dreamer very they have like a speakeasy 795 00:43:46,640 --> 00:43:48,839 Speaker 1: that's on one of the floors where you it's a book. 796 00:43:48,880 --> 00:43:50,759 Speaker 1: You open up a book and turn a handle in 797 00:43:50,840 --> 00:43:53,960 Speaker 1: a book case. You get to go and drink and 798 00:43:54,320 --> 00:43:57,600 Speaker 1: it's awesome. Yeah, it's it's cool. It's cool as ship. 799 00:43:58,120 --> 00:44:01,600 Speaker 1: Well let's see, I mean according to CNBC last year 800 00:44:01,719 --> 00:44:05,440 Speaker 1: they listed Keller Williams Realty that's what I was going 801 00:44:05,520 --> 00:44:09,080 Speaker 1: to guess, and Nike at number two total quality. Yeah, 802 00:44:09,320 --> 00:44:12,640 Speaker 1: that's people people who work at People who work at 803 00:44:12,719 --> 00:44:15,440 Speaker 1: Nike are pretty happy, are very happy. Like even like 804 00:44:15,520 --> 00:44:19,040 Speaker 1: hipster people who you're like, you expect them to be like, yeah, 805 00:44:19,040 --> 00:44:21,160 Speaker 1: it's whatever, man, They're just like, no, it's a great 806 00:44:21,160 --> 00:44:25,880 Speaker 1: place to work. It's the best. Like yeah, Adobe Systems 807 00:44:26,120 --> 00:44:29,359 Speaker 1: at number four, am jen Yeah, because they're like the 808 00:44:29,440 --> 00:44:32,520 Speaker 1: number four most annoying company in the world for me 809 00:44:32,800 --> 00:44:40,399 Speaker 1: as a consumer. Man. You want to r right pay here. No, 810 00:44:41,080 --> 00:44:43,560 Speaker 1: let's talk about the oscars, you guys, everybody looking for 811 00:44:43,600 --> 00:44:49,839 Speaker 1: what happened. We haven't even announced the nominees they did 812 00:44:49,880 --> 00:44:52,000 Speaker 1: the Golden Globes. Wait, oh, so they stopped that ship 813 00:44:52,120 --> 00:44:54,120 Speaker 1: where I remember they were trying to announce their nominees 814 00:44:54,160 --> 00:44:56,359 Speaker 1: before the Golden Globes because there was like the whole 815 00:44:56,360 --> 00:44:58,279 Speaker 1: thing where people are like, you guys are just going 816 00:44:58,280 --> 00:45:01,040 Speaker 1: off what the Golden Globes are doing. No, just do 817 00:45:01,080 --> 00:45:03,440 Speaker 1: it three months in advance and like a month before 818 00:45:03,440 --> 00:45:09,640 Speaker 1: the Golden Globes are their childish now because Kevin Hart 819 00:45:09,680 --> 00:45:13,439 Speaker 1: has announced he's over it. That's specifically what he said, 820 00:45:13,520 --> 00:45:18,799 Speaker 1: because he faced more backlash for his like homophobic comments 821 00:45:18,840 --> 00:45:24,399 Speaker 1: and refusal to apologize and then apology. He would apologize 822 00:45:24,400 --> 00:45:27,759 Speaker 1: while refusing to apologize, so he was like, I'm over it, 823 00:45:27,920 --> 00:45:30,080 Speaker 1: and the Oscars were like, well, we're out of ideas, 824 00:45:30,640 --> 00:45:33,439 Speaker 1: so we're just gonna go with no host. That might 825 00:45:33,600 --> 00:45:38,400 Speaker 1: actually be best. Well, so I didn't think it necessarily 826 00:45:38,440 --> 00:45:41,600 Speaker 1: seemed like the worst idea in the world. However, this 827 00:45:41,680 --> 00:45:45,480 Speaker 1: is the thirty year anniversary of what everyone agrees are 828 00:45:45,680 --> 00:45:49,000 Speaker 1: the worst Oscars ever, and that was the last time 829 00:45:49,040 --> 00:45:53,960 Speaker 1: they went without a host, and it was bizarre. They 830 00:45:54,040 --> 00:45:57,240 Speaker 1: like started it with this musical number where snow White 831 00:45:57,520 --> 00:46:00,080 Speaker 1: for some reason is there and like talking in this 832 00:46:00,280 --> 00:46:03,960 Speaker 1: like really cartoony, high pitched voice and then sings a 833 00:46:04,080 --> 00:46:06,720 Speaker 1: duet where she's like on a blind date and flirting 834 00:46:06,719 --> 00:46:09,680 Speaker 1: with Rob Lowe, who just a year earlier had been 835 00:46:09,960 --> 00:46:13,680 Speaker 1: like in a sex sex scandal because he was on 836 00:46:14,040 --> 00:46:18,160 Speaker 1: videotape having sex with a sixteen year old on tape. Yeah, 837 00:46:18,320 --> 00:46:22,680 Speaker 1: he was like the first sex tape. Yeah. But anyways, 838 00:46:22,719 --> 00:46:25,040 Speaker 1: it was like it was a nightmare. Like first of all, 839 00:46:25,080 --> 00:46:29,040 Speaker 1: they didn't even get Disney's permission to use snow white. 840 00:46:29,280 --> 00:46:31,680 Speaker 1: Someone like you had some bootleg animator just be like, hey, 841 00:46:32,280 --> 00:46:34,560 Speaker 1: no snow white. They just got the woman who dressed 842 00:46:34,560 --> 00:46:38,000 Speaker 1: a snow white off Hollywood blow. Oh okay, okay, I 843 00:46:38,080 --> 00:46:42,440 Speaker 1: was seeing something really high concept. He was dancing with right, 844 00:46:42,840 --> 00:46:47,760 Speaker 1: but but everything like they were like snow White followed 845 00:46:47,800 --> 00:46:50,239 Speaker 1: the stars to the stage and the stars were just 846 00:46:50,239 --> 00:46:52,759 Speaker 1: people and cut out stars. It like looked like a 847 00:46:52,840 --> 00:46:55,279 Speaker 1: high school production of some ship. It was just the 848 00:46:55,320 --> 00:46:57,560 Speaker 1: whackiest thing. But there's a way to do it better 849 00:46:57,600 --> 00:47:01,560 Speaker 1: than that. Well, but so Disney. Disney are rumored to 850 00:47:01,600 --> 00:47:04,799 Speaker 1: be turning to the Avengers, like they're going to have 851 00:47:04,880 --> 00:47:09,240 Speaker 1: the Avengers host it partially and fantos just gonna snap 852 00:47:09,239 --> 00:47:15,040 Speaker 1: in all the holes. Oscar. Sorry, man, this is why 853 00:47:15,160 --> 00:47:17,200 Speaker 1: I have a bad feeling about this. We'll see. Wait, 854 00:47:17,239 --> 00:47:20,200 Speaker 1: so they mean like that like people are gonna pull 855 00:47:20,280 --> 00:47:23,520 Speaker 1: up dressed as the Avengers. I don't know, I guess 856 00:47:23,560 --> 00:47:26,040 Speaker 1: so like it seems like the way they're going right 857 00:47:26,760 --> 00:47:33,680 Speaker 1: does the Award for Best Editing four And they were 858 00:47:33,680 --> 00:47:36,960 Speaker 1: like real dismissive of the idea of having a single 859 00:47:37,000 --> 00:47:40,120 Speaker 1: host that were like, instead of having some comedian go 860 00:47:40,239 --> 00:47:43,280 Speaker 1: up there and like drop a bunch of Trump singers 861 00:47:43,320 --> 00:47:45,879 Speaker 1: for the first twenty minutes, we're gonna have a bunch 862 00:47:45,960 --> 00:47:49,040 Speaker 1: of different A listers And it's just like, yeah, I 863 00:47:49,080 --> 00:47:51,719 Speaker 1: don't know, man, So you're just like not cool with 864 00:47:51,760 --> 00:47:54,239 Speaker 1: people making fun of Trump. Just because you put it 865 00:47:54,239 --> 00:47:56,520 Speaker 1: in an old timey shitty way, it doesn't mean that 866 00:47:56,560 --> 00:48:00,399 Speaker 1: it's like it's a worse idea than whatever the funk 867 00:48:00,440 --> 00:48:02,880 Speaker 1: you guys are going to come up with. Yeah, and 868 00:48:03,160 --> 00:48:05,840 Speaker 1: it's it's bad when you know, like we already cringe 869 00:48:05,960 --> 00:48:08,839 Speaker 1: at the thought of it being hostless, and just like 870 00:48:09,040 --> 00:48:10,680 Speaker 1: I feel now now it's like one of those things 871 00:48:10,719 --> 00:48:13,920 Speaker 1: that like nobody's gonna want to write for the Oscars, yeah, 872 00:48:13,920 --> 00:48:16,120 Speaker 1: because because now that's going to fall on them. Yeah, 873 00:48:16,400 --> 00:48:18,600 Speaker 1: am I supposed to make who wrote this? Right? And 874 00:48:18,600 --> 00:48:20,359 Speaker 1: they're like oh, then they're like, well, we'll just get 875 00:48:20,440 --> 00:48:23,040 Speaker 1: rid of the writers, right, Like so no writers, no 876 00:48:23,200 --> 00:48:29,600 Speaker 1: host uh Interactive Awards based on tweets. Yea, I honestly 877 00:48:29,640 --> 00:48:32,120 Speaker 1: wouldn't mind it. Just tell me who one. Yeah, I 878 00:48:32,120 --> 00:48:34,560 Speaker 1: don't need all the fluff. But somebody was saying that 879 00:48:34,760 --> 00:48:38,880 Speaker 1: to this point, ratings have been strongly driven by whoever 880 00:48:38,920 --> 00:48:41,920 Speaker 1: the host is. Like, you know, the first year that 881 00:48:42,400 --> 00:48:45,879 Speaker 1: Jimmy Kimmel came, it was really made a great job. 882 00:48:45,920 --> 00:48:47,839 Speaker 1: I did too. I thought he killed it. But then 883 00:48:47,920 --> 00:48:50,520 Speaker 1: like the next year it went down a little bit, 884 00:48:50,640 --> 00:48:53,720 Speaker 1: and so they think that it is really based on host. 885 00:48:53,920 --> 00:48:56,680 Speaker 1: Ellen was I think the best at it, and I 886 00:48:56,719 --> 00:48:59,640 Speaker 1: think she recognizes that she was like the best and 887 00:48:59,800 --> 00:49:02,560 Speaker 1: kind to the obvious choice, and she's that's why she 888 00:49:02,680 --> 00:49:05,239 Speaker 1: was trying so hard to get Kevin Hart to take 889 00:49:05,239 --> 00:49:07,759 Speaker 1: the job. Again. She's like, come on, man, just you 890 00:49:07,800 --> 00:49:09,200 Speaker 1: should do it. We all want you to do it. 891 00:49:09,480 --> 00:49:11,399 Speaker 1: So I didn't know she was trying to do that. Yeah, 892 00:49:11,440 --> 00:49:13,360 Speaker 1: she had him on her show. It was like, well, 893 00:49:13,400 --> 00:49:17,319 Speaker 1: it's all good. Forget about the Tiffany Hattish's next, right, Well, 894 00:49:17,400 --> 00:49:20,200 Speaker 1: Lena Waite quote says, I want a really gay ass 895 00:49:20,200 --> 00:49:24,239 Speaker 1: black person, So I think that's what I think. That's 896 00:49:24,239 --> 00:49:26,960 Speaker 1: a good response. Yeah, but again, who's into Lena. Wait 897 00:49:27,120 --> 00:49:29,040 Speaker 1: what about that guy from the Hid Your Kids, Hid 898 00:49:29,080 --> 00:49:33,560 Speaker 1: Your Wife? And oh yeah, everybody. They're going to be 899 00:49:34,280 --> 00:49:42,160 Speaker 1: like literally viral video people to Daniel. Yeah, Dan, Daniel, 900 00:49:42,880 --> 00:49:47,040 Speaker 1: the cashing outside girl, Damn Daniel. If they Wow, could 901 00:49:47,040 --> 00:49:48,799 Speaker 1: you imagine that? I could see the old people at 902 00:49:48,760 --> 00:49:51,400 Speaker 1: ABC been like whoa who can get the ratings? Like 903 00:49:51,440 --> 00:49:54,880 Speaker 1: who's big on the internet? RB. Yeah, they already have that. 904 00:49:55,280 --> 00:49:58,239 Speaker 1: Joe and the Scammer. Hey, Joe and the Scammer would 905 00:49:58,239 --> 00:50:01,440 Speaker 1: be great. I would tune and joined the scammeras they 906 00:50:01,440 --> 00:50:05,000 Speaker 1: should just have Zeke guests, you know. Yeah, well look, 907 00:50:05,120 --> 00:50:07,000 Speaker 1: I mean if only people knew who the funk we were, 908 00:50:08,320 --> 00:50:14,880 Speaker 1: that would be I can guarantee viewers and we do 909 00:50:14,920 --> 00:50:19,919 Speaker 1: host red ads. All right, let's talk about Taco Bell. Finally, Yes, 910 00:50:20,080 --> 00:50:23,719 Speaker 1: and finally and Taco Bell. Look, they had a whole 911 00:50:23,719 --> 00:50:25,920 Speaker 1: thing that like, we don't we don't do resolutions, we 912 00:50:26,000 --> 00:50:29,359 Speaker 1: do commitments. So these are twenty nine commitments and they're 913 00:50:29,360 --> 00:50:32,799 Speaker 1: actually pretty decent. Slash the least you can possibly do 914 00:50:32,880 --> 00:50:37,000 Speaker 1: as a gigantic corporation in that quick service restaurant industry. Uh, 915 00:50:37,000 --> 00:50:40,120 Speaker 1: but for starters, they're going to remove synthetic preservatives from 916 00:50:40,200 --> 00:50:43,800 Speaker 1: all menu items. So they say there's a total reduction 917 00:50:43,800 --> 00:50:47,640 Speaker 1: in sodium and like using things more like actually vine 918 00:50:47,719 --> 00:50:51,239 Speaker 1: ripe and tomatoes and like hass avocados. Uh. That all 919 00:50:51,280 --> 00:50:57,520 Speaker 1: the beef that's being used now, it's it's all air quotes. 920 00:50:57,560 --> 00:51:03,640 Speaker 1: It's like tomatoes and quote unquote avocado bread, like the avocados. 921 00:51:03,680 --> 00:51:07,000 Speaker 1: Only avocados I've ever seen. Yeah, what brand are you using? 922 00:51:07,040 --> 00:51:10,279 Speaker 1: I'm sure there's other ones, right, some off brand avocados. Uh. 923 00:51:10,320 --> 00:51:12,160 Speaker 1: And then they saying all the beef will be like 924 00:51:12,280 --> 00:51:15,600 Speaker 1: produced sustainably. Okay, at least you can do more like 925 00:51:15,680 --> 00:51:18,320 Speaker 1: better recycling. They're going to cut down like gigantic ass 926 00:51:18,320 --> 00:51:20,719 Speaker 1: cups so people don't, you know, just kill themselves with 927 00:51:20,760 --> 00:51:24,400 Speaker 1: sugar right away, creating more jobs, and also like dumping 928 00:51:24,440 --> 00:51:27,480 Speaker 1: more money into their Taco Bell Foundation, which I think 929 00:51:27,719 --> 00:51:30,319 Speaker 1: like grants people scholarships and stuff at the stores, which 930 00:51:30,360 --> 00:51:34,080 Speaker 1: is fine, that's embarrassing. Would you want to on the 931 00:51:34,120 --> 00:51:41,200 Speaker 1: Taco belt? Yeah? Would, but that's me. That's a very specific. 932 00:51:41,320 --> 00:51:44,080 Speaker 1: I would. Actually I'm like, you know who the funk? 933 00:51:44,120 --> 00:51:46,840 Speaker 1: I am a Taco Bell scholar? Yeah, now give me 934 00:51:46,840 --> 00:51:49,560 Speaker 1: my free chelupa And they're like it doesn't work, Like 935 00:51:49,600 --> 00:51:53,800 Speaker 1: I wouldn't even believe you if you told me. Yeah, 936 00:51:54,000 --> 00:51:57,080 Speaker 1: the Taco Bell Scholarship. But the other the biggest thing, though, 937 00:51:57,160 --> 00:51:59,719 Speaker 1: is that they are now beginning to test their like 938 00:52:00,000 --> 00:52:03,319 Speaker 1: bowl on dedicated vegetarian menus. There you go, Candice, you know, 939 00:52:03,360 --> 00:52:08,800 Speaker 1: I'm sure that's exciting, aran, Yeah, which is like a 940 00:52:09,320 --> 00:52:11,040 Speaker 1: go to which for a long time, like a lot 941 00:52:11,120 --> 00:52:13,759 Speaker 1: of vegetarians could get their you know, their snack on 942 00:52:13,880 --> 00:52:16,000 Speaker 1: at the Taco Bell. But they're saying they're gonna have 943 00:52:16,040 --> 00:52:18,600 Speaker 1: new items where they say as the only American Vegetarian 944 00:52:18,640 --> 00:52:22,200 Speaker 1: Association certified quick service restaurant, Taco Bell has more than 945 00:52:22,280 --> 00:52:25,719 Speaker 1: eight million vegetarian combinations, and there are plenty of gratifying 946 00:52:25,719 --> 00:52:28,120 Speaker 1: meatless options from which to choose as well, enough to 947 00:52:28,200 --> 00:52:32,359 Speaker 1: customize a new meal every day for nearly twenty thousand years. 948 00:52:32,719 --> 00:52:35,560 Speaker 1: That's way to use math, just to be like, well there, 949 00:52:35,600 --> 00:52:41,279 Speaker 1: I mean technically million combinations, eight million combinations of yeah, right, 950 00:52:43,280 --> 00:52:47,880 Speaker 1: with cheese, beans without without cheese, with cheese, but without onions, 951 00:52:47,920 --> 00:52:51,000 Speaker 1: with cheese and onions. Let's keep this going, just cheese 952 00:52:51,040 --> 00:52:55,120 Speaker 1: and onions. Yeah, oh tortilla, Yeah, write that down. How 953 00:52:55,120 --> 00:52:57,399 Speaker 1: many combinations we have I mean at least three right now, 954 00:53:01,120 --> 00:53:03,800 Speaker 1: with rapper or without. But I don't even trust the beans. 955 00:53:03,800 --> 00:53:05,399 Speaker 1: I feel like the beans are cooked in pork fat, 956 00:53:05,600 --> 00:53:09,080 Speaker 1: like I guarantee the beans whatever they're frying. Yeah, I 957 00:53:09,080 --> 00:53:10,719 Speaker 1: don't know what. I don't trust what they cook in 958 00:53:10,800 --> 00:53:14,400 Speaker 1: the beans. And I think they're gonna start having like 959 00:53:14,600 --> 00:53:17,719 Speaker 1: stuff with impossible foods too. I think I know there 960 00:53:17,719 --> 00:53:19,200 Speaker 1: are a lot of places that are trying to move 961 00:53:19,200 --> 00:53:21,320 Speaker 1: in there, said, oh, Del Taco, I think it is 962 00:53:21,320 --> 00:53:24,600 Speaker 1: going to have start serving beyond meat that seems like 963 00:53:24,800 --> 00:53:29,240 Speaker 1: an ingredient that is way too expensive for a Del Taco. 964 00:53:29,520 --> 00:53:33,080 Speaker 1: Why not in the box doesn't use real meat in 965 00:53:33,120 --> 00:53:35,680 Speaker 1: their tacos? You know that it's like a tofu something 966 00:53:36,400 --> 00:53:39,799 Speaker 1: and beef. Oh for real? Those deep fried tacos, So 967 00:53:39,840 --> 00:53:41,640 Speaker 1: do you are you're able to eat those? I don't know. 968 00:53:41,680 --> 00:53:44,960 Speaker 1: I've never I don't want to. I've never had them. 969 00:53:45,880 --> 00:53:48,840 Speaker 1: You know? Whoever told me that? I think it's like. 970 00:53:48,880 --> 00:53:50,279 Speaker 1: I was like, I don't know if I trust this 971 00:53:50,440 --> 00:53:51,520 Speaker 1: or not. So I was like, I'm just going to 972 00:53:51,560 --> 00:53:53,480 Speaker 1: stay away. That makes so much sense because it's just 973 00:53:53,520 --> 00:53:57,360 Speaker 1: like brown mathth potato goo. Yeah, And I was like, 974 00:53:57,400 --> 00:54:00,400 Speaker 1: deep fried lettuce. All right, they fry their lettus, the 975 00:54:00,480 --> 00:54:02,239 Speaker 1: lettuce it's in the shell with cheese or whatever. And 976 00:54:02,239 --> 00:54:04,920 Speaker 1: then they did fry that, right, but it's not like it, 977 00:54:05,080 --> 00:54:07,080 Speaker 1: you know, it just becomes why do you even need 978 00:54:07,120 --> 00:54:10,879 Speaker 1: to fry it? I think makes it good? Of course 979 00:54:10,920 --> 00:54:15,640 Speaker 1: it is, of course delicious. But in high school that 980 00:54:15,680 --> 00:54:18,120 Speaker 1: was the wave. You get high. You have five dollars, 981 00:54:18,120 --> 00:54:19,919 Speaker 1: you could get two tacoles for a dollar. You get 982 00:54:19,920 --> 00:54:24,040 Speaker 1: ten motherfucking tacos for five dollars. Watch me. People in 983 00:54:24,080 --> 00:54:26,200 Speaker 1: the rest of America don't know what they're missing. Man 984 00:54:26,239 --> 00:54:28,200 Speaker 1: with a jack in the box, the jacket the box taco. 985 00:54:28,440 --> 00:54:29,840 Speaker 1: Now don't know that. I might have been on some 986 00:54:30,000 --> 00:54:32,560 Speaker 1: like vegetarian wave because it wasn't even beef. I guess 987 00:54:32,560 --> 00:54:35,279 Speaker 1: they weren't even saying beef though. Yeah, they just called 988 00:54:35,320 --> 00:54:37,680 Speaker 1: it the taco. I wonder if there are people who 989 00:54:37,680 --> 00:54:44,040 Speaker 1: are like, well, I guess I'm a vegetarian only that, 990 00:54:44,880 --> 00:54:48,400 Speaker 1: but yeah, white white Castle also has impossible they do. Yeah, 991 00:54:48,840 --> 00:54:51,040 Speaker 1: and the white castles out here, I know, I know. 992 00:54:51,120 --> 00:54:54,680 Speaker 1: But when there are man whatever, I'm you're when crave case, 993 00:54:55,200 --> 00:54:58,000 Speaker 1: you know what I mean? With like whatever forty tacols 994 00:54:58,080 --> 00:55:00,640 Speaker 1: or I mean burgers and then I remember that's I 995 00:55:00,640 --> 00:55:02,719 Speaker 1: think that's why like Wu Tang was doing, they had 996 00:55:02,760 --> 00:55:06,239 Speaker 1: like they were collaborating with impossible Like yeah, when they 997 00:55:06,280 --> 00:55:08,840 Speaker 1: were first serving it. I remember like Ray Kuan and 998 00:55:08,880 --> 00:55:11,560 Speaker 1: ghost Face Killer at like a white Castle like in 999 00:55:11,600 --> 00:55:16,080 Speaker 1: New York somewhere. Who's running impossible Me, I don't know exactly, 1000 00:55:16,160 --> 00:55:21,799 Speaker 1: like Wu Tang and fast food. Uh, well hip hop 1001 00:55:22,400 --> 00:55:25,520 Speaker 1: like nas will do Illmatic and its entirety at the 1002 00:55:25,560 --> 00:55:28,520 Speaker 1: New White Castle. Well, Candice, it's been a pleasure having 1003 00:55:28,560 --> 00:55:32,040 Speaker 1: you on the Daily Zy Guys, where can people find you? 1004 00:55:32,400 --> 00:55:35,640 Speaker 1: On social media's you can find me at jokes by 1005 00:55:35,719 --> 00:55:37,960 Speaker 1: Candice j O K E, S B y c A 1006 00:55:38,040 --> 00:55:40,360 Speaker 1: and d I C E. And is there a tweet 1007 00:55:40,400 --> 00:55:43,840 Speaker 1: you've been enjoying? Yeah? My Uh, he's one of my 1008 00:55:43,880 --> 00:55:46,719 Speaker 1: favorite people in the world. Roy Wood Jr. I don't 1009 00:55:46,760 --> 00:55:49,640 Speaker 1: know him, watch him on the Daily Show. Um, he's 1010 00:55:49,640 --> 00:55:52,400 Speaker 1: a correspondent on there. I took a screenshot of it. 1011 00:55:52,600 --> 00:55:55,239 Speaker 1: He's just so funny everywhere in life but also on 1012 00:55:55,280 --> 00:55:57,839 Speaker 1: social media, and he took he posted a picture of 1013 00:55:59,040 --> 00:56:04,360 Speaker 1: this like knockoff brand of earbuds or not well, the 1014 00:56:04,400 --> 00:56:09,719 Speaker 1: one airbuds that are the ion AirPods. He posted a 1015 00:56:09,760 --> 00:56:12,319 Speaker 1: picture of a knockoff brand of these and um called 1016 00:56:12,440 --> 00:56:16,120 Speaker 1: sound Mates, and he says, put these in your ear, 1017 00:56:16,160 --> 00:56:18,600 Speaker 1: then cover them up with a little do rag. Folks 1018 00:56:18,600 --> 00:56:21,120 Speaker 1: won't know the difference. They only thirty dollars Big Mac 1019 00:56:21,280 --> 00:56:25,520 Speaker 1: versus Big Mick, which is a coming to America references. 1020 00:56:25,880 --> 00:56:32,680 Speaker 1: You don't know. So there was a McDowell's pop up. No, 1021 00:56:34,000 --> 00:56:36,279 Speaker 1: I missed it on both occasions. I don't know. Maybe 1022 00:56:36,320 --> 00:56:37,600 Speaker 1: I don't know, but I missed it. I was out 1023 00:56:37,600 --> 00:56:39,360 Speaker 1: of town the first time, and I forget why I 1024 00:56:39,360 --> 00:56:41,799 Speaker 1: couldn't go this time. But a word on the street, 1025 00:56:41,800 --> 00:56:43,279 Speaker 1: as they are doing that in promotion, because I hear 1026 00:56:43,320 --> 00:56:46,320 Speaker 1: they're doing another coming to their remaking coming, which is 1027 00:56:46,360 --> 00:56:49,320 Speaker 1: a huge mistake. I don't know, but I don't I 1028 00:56:49,320 --> 00:56:50,719 Speaker 1: don't even know if there's any truth to that. I 1029 00:56:50,760 --> 00:56:54,080 Speaker 1: would like to see our Cio hall is old as semi. Oh, 1030 00:56:54,160 --> 00:56:55,759 Speaker 1: that would be great. I would like to see where 1031 00:56:55,760 --> 00:56:57,279 Speaker 1: they're at now. I mean, if they do. I think 1032 00:56:57,280 --> 00:57:00,560 Speaker 1: they're talking about recasting, and that's what I so, I'm like, no, 1033 00:57:00,760 --> 00:57:02,520 Speaker 1: if they bring back the old and like, do it, 1034 00:57:03,040 --> 00:57:04,720 Speaker 1: but then that would be painful to see the original 1035 00:57:04,719 --> 00:57:07,680 Speaker 1: cast totally funk up too, and I'd rather be like 1036 00:57:07,719 --> 00:57:11,280 Speaker 1: getting mad at the young person. See this is why 1037 00:57:11,680 --> 00:57:13,520 Speaker 1: I think they should come up with a new idea 1038 00:57:13,600 --> 00:57:19,560 Speaker 1: for a new movie, a crazy idea. That movie is 1039 00:57:19,680 --> 00:57:23,000 Speaker 1: fucking amazing. Uh, Miles, where can people find you? You 1040 00:57:23,000 --> 00:57:30,200 Speaker 1: ain't never been no mom, Luke the King Mama. I 1041 00:57:30,200 --> 00:57:36,080 Speaker 1: could quote whatever you like? Whatever did you like? That 1042 00:57:36,160 --> 00:57:38,720 Speaker 1: was one of the favorites. Yes me at Miles of 1043 00:57:38,760 --> 00:57:41,120 Speaker 1: great on Twitter and Instagram to tweets I like her 1044 00:57:41,120 --> 00:57:44,080 Speaker 1: from Reductress. One was tell me if this makes any sense? 1045 00:57:44,120 --> 00:57:46,600 Speaker 1: He says a woman about to read a completely normal email, 1046 00:57:48,640 --> 00:57:51,800 Speaker 1: and another one says, cool, this man isn't defending r Kelly. 1047 00:57:51,920 --> 00:57:56,600 Speaker 1: He's just asking some questions. But the guy in the 1048 00:57:56,600 --> 00:57:59,480 Speaker 1: photo looks like this, like like do she kind of 1049 00:57:59,520 --> 00:58:04,480 Speaker 1: wanted old dude? Is it? Yeah? What do we anyway? 1050 00:58:04,640 --> 00:58:07,320 Speaker 1: So Reductress always on the ground, always on go. I've 1051 00:58:07,320 --> 00:58:10,400 Speaker 1: got my I'm rocking my new Reductress mug. Just having 1052 00:58:10,440 --> 00:58:17,080 Speaker 1: a moment with my cough. Oh ship. Wow. Somebody on 1053 00:58:17,840 --> 00:58:20,040 Speaker 1: tweeted at me that they were like, you need to 1054 00:58:20,080 --> 00:58:24,000 Speaker 1: get this, and they were right, because love of shortenings 1055 00:58:24,120 --> 00:58:28,520 Speaker 1: that don't need short briefs. My favorite tweet at the 1056 00:58:28,600 --> 00:58:31,720 Speaker 1: moment at Trent and Hassle's tweeted, if Beto O'Rourke doesn't 1057 00:58:31,720 --> 00:58:34,400 Speaker 1: announce his candasy by pulling up a chair and sitting 1058 00:58:34,400 --> 00:58:36,920 Speaker 1: backwards in it, and I won't know what to believe anymore. 1059 00:58:38,480 --> 00:58:40,600 Speaker 1: You can find me on Twitter at Jack on your squore, O'Brien. 1060 00:58:41,000 --> 00:58:43,400 Speaker 1: You can find us on Twitter at daily Zeygeist for 1061 00:58:43,480 --> 00:58:46,200 Speaker 1: at the Daily Zychheist on Instagram. We have Facebook fan 1062 00:58:46,240 --> 00:58:49,560 Speaker 1: page and a website, Daily zicheist dot com. We post 1063 00:58:49,600 --> 00:58:52,520 Speaker 1: our episodes and our Footnope, we're link off to the 1064 00:58:52,520 --> 00:58:54,680 Speaker 1: information that we talked about in today's episode, as well 1065 00:58:54,680 --> 00:58:57,640 Speaker 1: as the song we ride out on. What are we 1066 00:58:57,640 --> 00:59:00,920 Speaker 1: gonna write out on? Yes, this is a song called 1067 00:59:01,000 --> 00:59:04,120 Speaker 1: cry by the artist kind of k A, I and 1068 00:59:04,560 --> 00:59:07,919 Speaker 1: A and I think you're going to enjoy it. Please 1069 00:59:08,000 --> 00:59:11,920 Speaker 1: enjoy it, Please enjoy please? Yeah? All right, well we're 1070 00:59:11,920 --> 00:59:14,960 Speaker 1: gonna write out on that. We will be back on Monday. 1071 00:59:15,240 --> 00:59:20,480 Speaker 1: I guess a great weekend. Okay, alright, alright, bye. Just 1072 00:59:20,720 --> 00:59:27,800 Speaker 1: the thought of you makes me won't back all the 1073 00:59:28,000 --> 00:59:36,520 Speaker 1: fields getting high too scared. You feel the same thing, 1074 00:59:38,360 --> 00:59:43,560 Speaker 1: size side, because just the thought of fuel makes me 1075 00:59:43,720 --> 00:59:46,280 Speaker 1: want back, cry