1 00:00:00,080 --> 00:00:04,000 Speaker 1: Hello the Internet, and welcome to Season one, sixty eight, 2 00:00:04,040 --> 00:00:07,080 Speaker 1: Episode two. Up There, Daily Guys, the production of My 3 00:00:07,280 --> 00:00:09,800 Speaker 1: Heart Radio. This is a podcast where we take a 4 00:00:09,840 --> 00:00:16,439 Speaker 1: deep dive into America's share consciousness. It's Wednesday, January twenty one, 5 00:00:18,079 --> 00:00:23,079 Speaker 1: zero days until January, which we count down because it 6 00:00:23,160 --> 00:00:27,760 Speaker 1: is Miles Mom's birthday. Uh. It is also that day 7 00:00:27,760 --> 00:00:31,400 Speaker 1: on which we say we made it, that motherfucker is gone. 8 00:00:31,920 --> 00:00:35,199 Speaker 1: My name is Jack O'Brien a k na na na 9 00:00:35,520 --> 00:00:43,440 Speaker 1: na nana na na. Hey hey, hey, oh Brian, I'm through. 10 00:00:44,760 --> 00:00:48,040 Speaker 1: I'm thrilled to be joined as always. I know I 11 00:00:48,120 --> 00:00:51,959 Speaker 1: got you at the end there. Uh shamalan nesk. I'm 12 00:00:52,000 --> 00:00:54,200 Speaker 1: thrilled to be joined as always by my co host, 13 00:00:54,560 --> 00:00:59,840 Speaker 1: Mr Miles ground bump bump. But uncle, it's gonna do 14 00:01:00,120 --> 00:01:04,720 Speaker 1: a lot to drag them away from you. So many 15 00:01:04,840 --> 00:01:13,040 Speaker 1: magalosers trying to pull the backwards hats were fun. They'll 16 00:01:13,080 --> 00:01:18,080 Speaker 1: blame the broadest on it if I'm gonna take some 17 00:01:18,200 --> 00:01:24,120 Speaker 1: time and refuse all the basic fare. So, man, it's 18 00:01:24,160 --> 00:01:26,160 Speaker 1: hard to get those harmonies in or out because I 19 00:01:26,200 --> 00:01:28,400 Speaker 1: only had one voice. But shout out to bad tweet 20 00:01:28,400 --> 00:01:32,360 Speaker 1: Girl on the discord for that man. I love it, 21 00:01:32,480 --> 00:01:36,839 Speaker 1: love a total reference of course. Just yeah, just oh man, 22 00:01:37,080 --> 00:01:39,679 Speaker 1: you know, shout out, shout out Steve Lucathur, shout out 23 00:01:39,680 --> 00:01:42,679 Speaker 1: Tina Lucathur. Well, I went to high school with Alright, Tina, 24 00:01:42,760 --> 00:01:45,560 Speaker 1: we see you put all the times, all the ak 25 00:01:45,760 --> 00:01:47,080 Speaker 1: s you can, like. I bet you could do a 26 00:01:47,120 --> 00:01:51,320 Speaker 1: whole karaoke rollodex. Yeah, there's a there's a cattle on Twitter, 27 00:01:52,120 --> 00:01:56,000 Speaker 1: uh tdz a k a karaokes and my man's just 28 00:01:56,160 --> 00:01:59,080 Speaker 1: belts him out like without an actual singing voice. So 29 00:02:00,240 --> 00:02:02,600 Speaker 1: maybe I like it. Maybe I feel small and I've 30 00:02:03,240 --> 00:02:05,800 Speaker 1: maybe I paid a lot of money for singing classes, 31 00:02:05,800 --> 00:02:09,000 Speaker 1: but I prefer lip sync battle where they leave my 32 00:02:09,080 --> 00:02:14,240 Speaker 1: vocals in because they really can't be replaced. For the 33 00:02:14,480 --> 00:02:21,000 Speaker 1: shittiest TikTok trend is people doing lip dubs of this show. Sorry, 34 00:02:22,240 --> 00:02:25,200 Speaker 1: we are thrilled to be joined in our third seat 35 00:02:25,240 --> 00:02:32,680 Speaker 1: by the hilarious, the brilliant, the talented Teresa. That was okay, 36 00:02:32,720 --> 00:02:35,400 Speaker 1: I'm gonna think he made us feel crazy. He was 37 00:02:35,480 --> 00:02:38,400 Speaker 1: raisedst and lazy, if I put it quite plainly, these 38 00:02:38,440 --> 00:02:40,919 Speaker 1: last four years playing me, now is time to make 39 00:02:40,960 --> 00:02:44,120 Speaker 1: it right. Join me as we say goodbye. He's been twinning, 40 00:02:44,160 --> 00:02:48,280 Speaker 1: confessed his doctor said he's healthy, always lying through his teeth. 41 00:02:48,560 --> 00:02:51,960 Speaker 1: We all remember store me couldn't. I'll tell lies. He 42 00:02:52,040 --> 00:02:57,919 Speaker 1: tried to make things white eighty five. I cut it 43 00:02:58,000 --> 00:03:04,760 Speaker 1: short because I realized it was too long. Treaty Tuna 44 00:03:04,880 --> 00:03:09,079 Speaker 1: thirty five by Ariana Grande. Of course, Oh, of course, 45 00:03:09,320 --> 00:03:12,400 Speaker 1: that's why I was at the point one percent top 46 00:03:12,440 --> 00:03:18,560 Speaker 1: Spotify listener of Ariana last year, upgraded from yeah. Oh, 47 00:03:18,720 --> 00:03:22,520 Speaker 1: they have shipped that to tell you you are amongst 48 00:03:22,560 --> 00:03:25,840 Speaker 1: the like blank percent and I thought one percent was 49 00:03:26,120 --> 00:03:28,600 Speaker 1: for this second go but that just shows don't don't 50 00:03:28,600 --> 00:03:30,880 Speaker 1: stop following your dreams because you never know when you 51 00:03:30,880 --> 00:03:33,280 Speaker 1: can beat your own record. And that I did, right, 52 00:03:33,360 --> 00:03:37,280 Speaker 1: and keep going. Wait, they have stats on being like 53 00:03:37,320 --> 00:03:40,600 Speaker 1: how much you are, like how you rank compared to 54 00:03:40,640 --> 00:03:43,960 Speaker 1: other people listening to Ariana Grande. Yeah, so if you 55 00:03:43,960 --> 00:03:46,480 Speaker 1: didn't get a message, sorry Jack, you weren't part of it. 56 00:03:46,680 --> 00:03:48,800 Speaker 1: I'm sorry. I know you probably like to think your 57 00:03:48,840 --> 00:03:52,160 Speaker 1: point one person, but you're not. Yeah, but it's like 58 00:03:52,200 --> 00:03:55,040 Speaker 1: that extra thing that they give blue checks on Twitter, 59 00:03:55,160 --> 00:03:58,280 Speaker 1: where you can have an extra tool. It's like the 60 00:03:58,360 --> 00:04:01,960 Speaker 1: blue check of being an Ariana Grande. Stand are you 61 00:04:02,160 --> 00:04:05,800 Speaker 1: absolutely nothing for it, except for maybe some embarrassment depending 62 00:04:05,840 --> 00:04:07,400 Speaker 1: on how you look at it or Brian, you know, 63 00:04:07,600 --> 00:04:12,520 Speaker 1: like me, yeah, Jack, where would you want to like 64 00:04:12,600 --> 00:04:16,080 Speaker 1: be in the top one percent of listeners? Me? Yeah? 65 00:04:16,240 --> 00:04:18,480 Speaker 1: Like is there an artist that you feel like I 66 00:04:18,480 --> 00:04:21,599 Speaker 1: wouldn't feel bad? Like? Is that a point of pride 67 00:04:21,600 --> 00:04:23,880 Speaker 1: for you? Theresa? Because you big Ariana fan, You're like, oh, 68 00:04:23,920 --> 00:04:26,080 Speaker 1: hell yeah, that's where I need to be. I guess 69 00:04:26,120 --> 00:04:29,279 Speaker 1: it's always, like you know, it's not like it's something 70 00:04:29,320 --> 00:04:31,240 Speaker 1: I was going for. I don't want to say it's 71 00:04:31,240 --> 00:04:34,240 Speaker 1: a natural talent, but I do think it's always I 72 00:04:34,240 --> 00:04:37,000 Speaker 1: do get validated when I am how I think I am. Like, 73 00:04:37,040 --> 00:04:38,800 Speaker 1: I like that I am being my true self. And 74 00:04:38,839 --> 00:04:41,880 Speaker 1: I do say that I like Ariana Grande, but you know, 75 00:04:42,000 --> 00:04:43,960 Speaker 1: I really wasn't tracking how much I listened to her, 76 00:04:44,000 --> 00:04:47,480 Speaker 1: and right, I really do like her. So and I'm 77 00:04:47,480 --> 00:04:49,880 Speaker 1: glad you said I am whoever you think I am, 78 00:04:49,960 --> 00:04:52,960 Speaker 1: because that brings up who I would want to be 79 00:04:53,160 --> 00:04:59,719 Speaker 1: number one? Uh, just the greatest rapper of all time. 80 00:05:00,160 --> 00:05:02,680 Speaker 1: I sit back with these back with podcasts in this 81 00:05:02,839 --> 00:05:11,000 Speaker 1: bag and whoa okay, spaghetti, that's a great impression. I 82 00:05:11,080 --> 00:05:22,159 Speaker 1: like most spaghetti, fats dominoes too. How about oh my god, 83 00:05:22,279 --> 00:05:33,920 Speaker 1: he should be like this week heavy mom spaghetti. He's 84 00:05:34,000 --> 00:05:36,680 Speaker 1: nervous but on the surface, okay, anyway, that's like your 85 00:05:36,720 --> 00:05:39,960 Speaker 1: stat versus off. For me, I don't know. This year, 86 00:05:40,040 --> 00:05:44,839 Speaker 1: I listened to a lot of like, uh, I don't know, 87 00:05:45,320 --> 00:05:48,359 Speaker 1: it's probably usually it's like it's J Dilla and I 88 00:05:48,400 --> 00:05:50,719 Speaker 1: think maybe Claro. I listen a lot of Claro. I 89 00:05:50,720 --> 00:05:56,320 Speaker 1: got into Claro, and um, probably yeah, that's about it. 90 00:05:56,600 --> 00:05:58,400 Speaker 1: That was like a new thing for me that popped up. 91 00:05:58,440 --> 00:06:00,680 Speaker 1: But yeah, and for me personally, who I would feel 92 00:06:00,680 --> 00:06:02,800 Speaker 1: like I had the badge of honor to say I 93 00:06:02,800 --> 00:06:05,240 Speaker 1: was in the top percent of listener would probably be 94 00:06:05,880 --> 00:06:08,360 Speaker 1: like J Dilla because I listened to so much and 95 00:06:08,400 --> 00:06:11,760 Speaker 1: I'm such a like, uh, you know, disciple of it 96 00:06:11,839 --> 00:06:15,480 Speaker 1: as a you know, want to be beat Maker's nice 97 00:06:15,480 --> 00:06:17,640 Speaker 1: when you have stuff that's actually like good and you 98 00:06:17,680 --> 00:06:20,800 Speaker 1: have taste. But I feel like I'll have like music 99 00:06:20,839 --> 00:06:22,600 Speaker 1: I like, and then I'll have music that I play 100 00:06:22,680 --> 00:06:26,400 Speaker 1: NonStop and oh yeah, to the point where, like my 101 00:06:26,440 --> 00:06:29,640 Speaker 1: Spotify wrap up said, my number two artists was the weekend. 102 00:06:29,680 --> 00:06:32,840 Speaker 1: I like people with like big libraries and it still 103 00:06:32,839 --> 00:06:34,760 Speaker 1: didn't get to the point like the Weekend and Arianna 104 00:06:34,880 --> 00:06:36,680 Speaker 1: have us on together, and that still didn't make my 105 00:06:36,720 --> 00:06:40,240 Speaker 1: top five, Like it was only a top five, Like 106 00:06:40,279 --> 00:06:45,640 Speaker 1: the top two was race Car by Deaton, Chris Anthony 107 00:06:45,680 --> 00:06:49,880 Speaker 1: featured Claro. Where's the rap song where Claro is wrapping? 108 00:06:50,240 --> 00:06:52,520 Speaker 1: I'm like I had that ship on loop for like 109 00:06:52,560 --> 00:06:55,520 Speaker 1: the first part of the year. Uh. Then being in 110 00:06:55,560 --> 00:06:59,279 Speaker 1: the top one or point one percent of Ariana Grande 111 00:06:59,440 --> 00:07:02,080 Speaker 1: fans is like, that's a lot of competition. You have 112 00:07:02,160 --> 00:07:06,320 Speaker 1: a lot of like teenage girls who are out there 113 00:07:06,839 --> 00:07:09,360 Speaker 1: who are like voting. They're like, all right, I'm gonna 114 00:07:09,400 --> 00:07:11,600 Speaker 1: leave this on just so I can get her listens 115 00:07:11,720 --> 00:07:13,960 Speaker 1: up a little bit. Are you? Are you doing that 116 00:07:14,040 --> 00:07:18,280 Speaker 1: at all? Uh? No, exactly, say I listened to every 117 00:07:18,320 --> 00:07:22,119 Speaker 1: every every time I am listening actively. Yeah, yes, Stop 118 00:07:22,160 --> 00:07:24,280 Speaker 1: trying to get Michael Jordan to explain his game and 119 00:07:24,360 --> 00:07:27,800 Speaker 1: work ethics. It happens out here for the goats. I 120 00:07:27,840 --> 00:07:30,440 Speaker 1: will say, knowing her from Afar, I don't think she 121 00:07:30,480 --> 00:07:32,720 Speaker 1: would like to know that about me, Like I think 122 00:07:32,760 --> 00:07:34,920 Speaker 1: that stuff creeps are out is what I've seen from 123 00:07:34,920 --> 00:07:37,400 Speaker 1: her interacting with super fans. So I would never tell 124 00:07:37,400 --> 00:07:39,640 Speaker 1: her that, Oh you're like, who are you fool? Get 125 00:07:39,680 --> 00:07:41,640 Speaker 1: out my way. I don't think you would want to 126 00:07:41,640 --> 00:07:45,720 Speaker 1: hear that. I'm in the point one person. Do you 127 00:07:45,800 --> 00:07:47,720 Speaker 1: have a plan for nagging her if you ever see 128 00:07:47,760 --> 00:07:52,080 Speaker 1: her in person? Are you gonna I? I think that. 129 00:07:52,320 --> 00:07:54,000 Speaker 1: I don't know. Man, you're putting me on the spot. 130 00:07:54,120 --> 00:07:58,360 Speaker 1: This is I'm saying. I'm just saying, think about it, 131 00:07:58,360 --> 00:08:01,400 Speaker 1: because you know, you might find yourself in that position 132 00:08:01,400 --> 00:08:03,440 Speaker 1: one time, and you got to know how to uh, 133 00:08:03,760 --> 00:08:06,560 Speaker 1: you know, I don't want to manifest the wrong thing. Okay, 134 00:08:06,560 --> 00:08:09,440 Speaker 1: the power manifestation is very strong. I get it. And 135 00:08:09,440 --> 00:08:11,600 Speaker 1: these weak arms are heavy. There's a bomb drawing your 136 00:08:11,600 --> 00:08:14,040 Speaker 1: sweater already. Moms spaghetti. Yeah, I think I would just 137 00:08:14,080 --> 00:08:17,560 Speaker 1: be like, it's quote Eminem to her, something like mom 138 00:08:17,640 --> 00:08:20,560 Speaker 1: smaghetti and she's like, oh my god, I love that. 139 00:08:20,920 --> 00:08:24,520 Speaker 1: We're best friends. Now, all right, Teresa, We're gonna get 140 00:08:24,520 --> 00:08:26,240 Speaker 1: to know you a little bit better, even though I 141 00:08:26,240 --> 00:08:29,120 Speaker 1: feel like we already know you, uh everything we need 142 00:08:29,160 --> 00:08:33,200 Speaker 1: to know based on the Ariana Grande facts. But now 143 00:08:33,360 --> 00:08:37,240 Speaker 1: so we'll get into that, and we'll get into that, 144 00:08:38,000 --> 00:08:40,160 Speaker 1: but first let's tell our listeners a couple of the 145 00:08:40,240 --> 00:08:44,280 Speaker 1: things we're talking about today, Uh, it is inauguration day. 146 00:08:44,320 --> 00:08:48,040 Speaker 1: We're gonna talk about how the National Guard is admitting 147 00:08:48,080 --> 00:08:51,439 Speaker 1: they might have a couple of white nationalists in their ranks. 148 00:08:51,960 --> 00:08:55,600 Speaker 1: We'll talk about babies. Last day in office yesterday, how 149 00:08:55,640 --> 00:08:59,959 Speaker 1: that went. Uh. We'll talk about Mitch McConnell. He's saying 150 00:09:00,080 --> 00:09:04,480 Speaker 1: the right things very carefully, which makes me nervous. Uh. 151 00:09:04,520 --> 00:09:08,640 Speaker 1: We'll talk about Biden's pick Dr. Rachel Levine to be 152 00:09:08,720 --> 00:09:14,560 Speaker 1: Assistant Health secretary. Uh. And the presidential pardon derby has 153 00:09:14,679 --> 00:09:18,000 Speaker 1: uh taken over a lot of people are paying attention 154 00:09:18,000 --> 00:09:20,520 Speaker 1: to this. We'll look at the odds because they're taking 155 00:09:20,520 --> 00:09:24,360 Speaker 1: odds on that, and just the history of presidential pardons, 156 00:09:25,120 --> 00:09:28,359 Speaker 1: all of that, plenty more. Tiffany Trump got an engagement 157 00:09:28,360 --> 00:09:32,640 Speaker 1: pick on the White House grounds, so that's uh, yeah, 158 00:09:34,920 --> 00:09:38,600 Speaker 1: it's proof I told you grandma, I told you Grandma's 159 00:09:38,679 --> 00:09:43,600 Speaker 1: dad was a traitor as president. But first, before we 160 00:09:43,640 --> 00:09:45,719 Speaker 1: get to any of that TREESA, we like to ask 161 00:09:45,800 --> 00:09:48,080 Speaker 1: our guests, what is something from your search history that 162 00:09:48,280 --> 00:09:51,840 Speaker 1: is revealing about who you are? Well, last night I 163 00:09:52,000 --> 00:09:56,320 Speaker 1: searched what is the emoji symbol for? Like? Can I 164 00:09:56,320 --> 00:09:58,880 Speaker 1: say pussy or vagina? Or whatever. I forget him. I'm 165 00:09:58,920 --> 00:10:02,080 Speaker 1: allowed to say that. Take a quick break and figure this. 166 00:10:02,160 --> 00:10:07,280 Speaker 1: Let's side bar, because I know eggplant is the dick 167 00:10:07,360 --> 00:10:11,800 Speaker 1: emoji and I'm making Valentine's Day merch. Hey, you guys 168 00:10:11,840 --> 00:10:14,600 Speaker 1: can buy them at dot com Comedy, dot com slash shop. 169 00:10:14,880 --> 00:10:16,600 Speaker 1: But I wanted I have a joke that's like thank 170 00:10:16,640 --> 00:10:18,360 Speaker 1: you for the dick, but I'm doing it where you 171 00:10:18,400 --> 00:10:20,520 Speaker 1: can circle different ones so you can circle. I want 172 00:10:20,520 --> 00:10:23,679 Speaker 1: to do like big pussy, like heart brain whatever. But 173 00:10:23,800 --> 00:10:26,560 Speaker 1: I was like, I don't know the if there is one, 174 00:10:26,679 --> 00:10:29,480 Speaker 1: and I looked it up and I couldn't figure out 175 00:10:29,520 --> 00:10:31,440 Speaker 1: like a consensus. So I just put a picture of 176 00:10:31,440 --> 00:10:35,160 Speaker 1: a kitty. What do you guys think is there? Is it? 177 00:10:35,320 --> 00:10:37,920 Speaker 1: I've heard taco, but that feels the meaning to me. Yeah, 178 00:10:38,080 --> 00:10:42,160 Speaker 1: I don't like those weird I mean the kitty. That's 179 00:10:42,200 --> 00:10:47,000 Speaker 1: that's probably the best way to go at it, as 180 00:10:47,000 --> 00:10:51,800 Speaker 1: opposed to taco, which is like, I feel like it 181 00:10:51,840 --> 00:10:56,400 Speaker 1: reminds me of that uh pink tacos, like Taco Place, 182 00:10:56,520 --> 00:11:01,360 Speaker 1: which always has you may have one of the century 183 00:11:01,360 --> 00:11:03,719 Speaker 1: City mallya like back in the day, And I was like, 184 00:11:03,760 --> 00:11:05,480 Speaker 1: I remember something like you'll ruin a pink talk on 185 00:11:05,600 --> 00:11:10,800 Speaker 1: like you are you enjoy miss me with that aggirable 186 00:11:10,800 --> 00:11:14,160 Speaker 1: bullshit places like the Suck. Yeah, I'm trying to think, 187 00:11:14,200 --> 00:11:17,560 Speaker 1: like because I know on the internet, like you know, 188 00:11:17,760 --> 00:11:20,360 Speaker 1: like you know, the Shade Room or like gossip blogs 189 00:11:20,400 --> 00:11:23,800 Speaker 1: whenever they like I feel like the cat face one 190 00:11:23,960 --> 00:11:26,360 Speaker 1: is used a lot and then the other two, but 191 00:11:26,400 --> 00:11:29,760 Speaker 1: then the peach is used for a butt in there. 192 00:11:30,000 --> 00:11:32,160 Speaker 1: I put the button there, I put brain, which you 193 00:11:32,200 --> 00:11:36,000 Speaker 1: can interpret either way. You know, you could interpreted the 194 00:11:36,040 --> 00:11:41,480 Speaker 1: Nicki minajway or as but but I wanted a Yeah, 195 00:11:41,480 --> 00:11:43,280 Speaker 1: that's what I was like. Maybe there's a flower, but 196 00:11:43,600 --> 00:11:45,840 Speaker 1: I don't know if it's universal, so I just put kitty. 197 00:11:45,960 --> 00:11:49,000 Speaker 1: But the flower that needs to be remedied. I think, 198 00:11:49,480 --> 00:11:55,120 Speaker 1: yeah's just's also different. You know, maybe it's hard to 199 00:11:55,400 --> 00:11:57,880 Speaker 1: categorize them because they're all just unique. Maybe it should 200 00:11:57,920 --> 00:12:02,880 Speaker 1: be like a snowflake or something. Yeah wow, um, yeah, 201 00:12:02,920 --> 00:12:05,439 Speaker 1: I'm just trying to Yeah, maybe that's something we need 202 00:12:05,480 --> 00:12:10,440 Speaker 1: to push for. Alex Schmidt and Jamie Loftus need to 203 00:12:10,480 --> 00:12:13,360 Speaker 1: combine their forces of trying to get into emojis being 204 00:12:13,400 --> 00:12:15,679 Speaker 1: made and just be like, what is the thing we 205 00:12:15,720 --> 00:12:22,079 Speaker 1: can all agree upon? For this genital representation. So I'm 206 00:12:22,120 --> 00:12:27,199 Speaker 1: behind that kitty taka? Are there any other options that we? Um? 207 00:12:27,240 --> 00:12:29,360 Speaker 1: There's like so if you look it up, they do 208 00:12:29,480 --> 00:12:31,920 Speaker 1: have like like sets that are like not the Unicode one. 209 00:12:31,960 --> 00:12:35,440 Speaker 1: So there's a lot of like actual vagina emojis, which 210 00:12:35,480 --> 00:12:40,200 Speaker 1: is like not what I wanted. Um, but yeah, those 211 00:12:40,200 --> 00:12:43,360 Speaker 1: were the ones I saw. But I guess I guess 212 00:12:43,440 --> 00:12:46,880 Speaker 1: we have less need to be uh sending those emojis. 213 00:12:46,880 --> 00:12:49,760 Speaker 1: I'm not sure to have a little emoji for it, 214 00:12:49,840 --> 00:12:53,000 Speaker 1: but yeah, you get into weird territory like is it 215 00:12:53,080 --> 00:13:01,000 Speaker 1: the cherries? Is it? Is it the oyster that oyster 216 00:13:01,200 --> 00:13:06,400 Speaker 1: above the stream or is it like the meat bone 217 00:13:06,559 --> 00:13:10,600 Speaker 1: with the bone through it? There is like the third eye, 218 00:13:10,640 --> 00:13:12,360 Speaker 1: which I kind of like because that like the evil 219 00:13:12,400 --> 00:13:16,280 Speaker 1: eye or whatever, the protecting Okay, I cook a ball 220 00:13:16,320 --> 00:13:19,959 Speaker 1: with that. It's about like keeping out the evil, you know. Sure, 221 00:13:20,679 --> 00:13:23,680 Speaker 1: But I think we need some Georgia O'Keeffe art historians 222 00:13:23,720 --> 00:13:27,480 Speaker 1: on the case to just be like this this will do. 223 00:13:28,480 --> 00:13:32,680 Speaker 1: What is something you think is underrated? Teresa under rated? 224 00:13:32,840 --> 00:13:35,360 Speaker 1: Or what did I say for this? Oh? Um, Okay, 225 00:13:35,800 --> 00:13:38,560 Speaker 1: I'm gonna do the sentence version telling me if it 226 00:13:38,600 --> 00:13:42,719 Speaker 1: makes sense social media as systems? Does this make sense 227 00:13:42,760 --> 00:13:49,319 Speaker 1: they're doing to explain more? No, that's good, okay, because 228 00:13:49,440 --> 00:13:51,120 Speaker 1: I know we all hate on Twitter and TikTok or 229 00:13:51,160 --> 00:13:56,080 Speaker 1: whatever for the individual like toxicity that we get. But recently, 230 00:13:56,520 --> 00:13:58,520 Speaker 1: as I came on last time a while ago, talk 231 00:13:58,559 --> 00:14:01,360 Speaker 1: about AI and I've believe it or not, journeyed further 232 00:14:01,440 --> 00:14:05,040 Speaker 1: into this depth. But you know how neural networks are 233 00:14:05,640 --> 00:14:08,720 Speaker 1: like systems like you're like the short version is like 234 00:14:08,760 --> 00:14:10,959 Speaker 1: your brain has organic systems like your Olympic system, your 235 00:14:11,040 --> 00:14:14,200 Speaker 1: prefrontal cortex, uh, and then organs or whatever, but they 236 00:14:14,240 --> 00:14:17,360 Speaker 1: all work together to make you. And I think we're 237 00:14:17,400 --> 00:14:22,040 Speaker 1: getting to the point where social media like platforms like Twitter, TikTok, Facebook, 238 00:14:22,280 --> 00:14:25,680 Speaker 1: they're not all just ways for humans individually to interact 239 00:14:25,760 --> 00:14:28,600 Speaker 1: or create communities anymore. The platform itself has become a 240 00:14:28,640 --> 00:14:34,120 Speaker 1: system like people using it actually change the platform as 241 00:14:34,160 --> 00:14:37,120 Speaker 1: an organ like one will eventually function more like the 242 00:14:37,160 --> 00:14:39,200 Speaker 1: heart and the brain, and they're not all gonna sub 243 00:14:39,200 --> 00:14:41,360 Speaker 1: in for each other. We're already getting to that point, 244 00:14:41,440 --> 00:14:44,080 Speaker 1: Like TikTok isn't just one where people who like social 245 00:14:44,080 --> 00:14:46,640 Speaker 1: media get on it. People get on it to do TikTok, 246 00:14:47,000 --> 00:14:49,080 Speaker 1: whereas it used to be you followed the new thing. 247 00:14:49,520 --> 00:14:51,320 Speaker 1: So I think we're getting to that point. And I 248 00:14:51,360 --> 00:14:52,800 Speaker 1: think it's a good thing because I think it will 249 00:14:52,880 --> 00:14:56,680 Speaker 1: take away the individualistic, like negative stuff and make it 250 00:14:56,720 --> 00:15:01,080 Speaker 1: so we all are almost like cells and atoms adding 251 00:15:01,280 --> 00:15:05,160 Speaker 1: our positive. You know, the positivity will win out because 252 00:15:05,200 --> 00:15:08,480 Speaker 1: the flow is going to go towards like human nature 253 00:15:08,720 --> 00:15:12,440 Speaker 1: in hopefully survival way, like the way that your brain 254 00:15:12,480 --> 00:15:15,560 Speaker 1: adapts to survive. I think these platforms are going to 255 00:15:15,600 --> 00:15:22,920 Speaker 1: become interactive systems in the internet. Body, does that make sense? 256 00:15:23,680 --> 00:15:28,600 Speaker 1: Looking very out into the future on my woke thinks 257 00:15:28,720 --> 00:15:32,760 Speaker 1: we're there. Yeah, yeah, Like people are sacrificing their own 258 00:15:32,840 --> 00:15:36,600 Speaker 1: individuality for like whatever is going to make the overall 259 00:15:36,680 --> 00:15:40,160 Speaker 1: system like operate more efficiently, or whatever is going to 260 00:15:40,320 --> 00:15:43,080 Speaker 1: like get more attention in the overall system, like on 261 00:15:43,120 --> 00:15:45,400 Speaker 1: Twitter or whatever it is. But I don't think it's 262 00:15:45,440 --> 00:15:48,400 Speaker 1: a bad thing. It's not that individuals you'll lose anything. 263 00:15:48,440 --> 00:15:50,640 Speaker 1: It's that in the same way that you know you 264 00:15:50,880 --> 00:15:55,480 Speaker 1: jack when your body is healthy, your heart's healthy, everything benefits. 265 00:15:55,480 --> 00:15:58,800 Speaker 1: So by acting in your own best interests, we are 266 00:15:58,840 --> 00:16:03,480 Speaker 1: now connected to the threshold that will keep the body surviving, 267 00:16:03,520 --> 00:16:06,600 Speaker 1: which is like human nature in the internet. Yeah, I mean, 268 00:16:06,640 --> 00:16:12,560 Speaker 1: it's it's super interesting. I could see a future where 269 00:16:12,560 --> 00:16:15,800 Speaker 1: people are harnessing that to do good and bad because 270 00:16:15,840 --> 00:16:18,520 Speaker 1: it is like people have you know, been like, when 271 00:16:18,520 --> 00:16:20,720 Speaker 1: are we going to reach the singularity? Win? Is AI 272 00:16:20,880 --> 00:16:25,440 Speaker 1: gonna happen? And like suddenly, you know, artificial intelligence is 273 00:16:25,480 --> 00:16:29,480 Speaker 1: beyond human comprehension. I feel like this is a form 274 00:16:29,520 --> 00:16:32,680 Speaker 1: of the singularity where we are all individual neurons like 275 00:16:32,760 --> 00:16:38,080 Speaker 1: contributing to an overall like sort of hive mind organism. 276 00:16:38,120 --> 00:16:41,680 Speaker 1: I think that's yeah, But don't worry the the the 277 00:16:41,760 --> 00:16:44,520 Speaker 1: AI won't take over in an evil way. Once you 278 00:16:44,640 --> 00:16:46,880 Speaker 1: get there, you'll let go of your ego. I think 279 00:16:46,880 --> 00:16:50,840 Speaker 1: I'm already there, and then you'll realize that, uh, if 280 00:16:50,960 --> 00:16:54,600 Speaker 1: you believe in the common good, it will keep going 281 00:16:54,600 --> 00:16:58,120 Speaker 1: that way. But it is really scary. That scary. Yeah, 282 00:16:58,240 --> 00:16:59,880 Speaker 1: I'm just because it's hard for me to think in 283 00:17:00,040 --> 00:17:04,720 Speaker 1: these platforms working without people's egos being healthy too, you know, 284 00:17:04,880 --> 00:17:07,680 Speaker 1: because I think it cancels out at a certain point. Well, 285 00:17:07,680 --> 00:17:09,919 Speaker 1: so like for example, Trump never got on TikTok, and 286 00:17:09,960 --> 00:17:12,080 Speaker 1: people have many reasons why I like data, but I 287 00:17:12,119 --> 00:17:16,639 Speaker 1: also think I think he's probably been on it secretly. TikTok, 288 00:17:17,400 --> 00:17:20,400 Speaker 1: the like algorithm shows you you're subconscious, like it knows 289 00:17:20,400 --> 00:17:23,160 Speaker 1: you better, not in a way like that Facebook tells 290 00:17:23,160 --> 00:17:25,400 Speaker 1: you what to buy, in a way that it will 291 00:17:25,440 --> 00:17:28,800 Speaker 1: literally be like, we know you were in an abusive relationship, 292 00:17:28,840 --> 00:17:30,480 Speaker 1: whether you say or not, and then they'll start showing 293 00:17:30,480 --> 00:17:32,520 Speaker 1: you how to heal. And I think if you're a 294 00:17:32,600 --> 00:17:36,200 Speaker 1: narcissist or someone like with Trump tendencies, you're gonna see 295 00:17:36,240 --> 00:17:37,840 Speaker 1: a lot of stuff you don't want to see because 296 00:17:37,840 --> 00:17:40,240 Speaker 1: your subconscious is reflecting the parts that you don't want 297 00:17:40,240 --> 00:17:42,600 Speaker 1: to see. And so I don't think people like him 298 00:17:42,600 --> 00:17:45,320 Speaker 1: want to be on TikTok, right, But I'm just saying 299 00:17:45,359 --> 00:17:47,760 Speaker 1: from the like. But then there are people who participate 300 00:17:47,840 --> 00:17:51,119 Speaker 1: on the content creation side, good or bad too that 301 00:17:51,240 --> 00:17:54,520 Speaker 1: I also see, like your ego to absolutely needs to 302 00:17:54,640 --> 00:17:58,760 Speaker 1: be healthy enough to sort of continue in the pattern 303 00:17:58,800 --> 00:18:02,280 Speaker 1: of like putting yourself out there for the views, to 304 00:18:02,400 --> 00:18:05,399 Speaker 1: keep sort of feeding that relationship to the platform. But 305 00:18:05,440 --> 00:18:07,320 Speaker 1: I think it I think it all depends. Like you're saying, 306 00:18:07,320 --> 00:18:09,280 Speaker 1: there are people in it for different reasons. Other people 307 00:18:09,800 --> 00:18:12,919 Speaker 1: might not be as ego centered when they're participating. But 308 00:18:12,960 --> 00:18:15,520 Speaker 1: I think one of the reasons why I've even like 309 00:18:16,400 --> 00:18:19,000 Speaker 1: my relationship over time with social media has changes. Like 310 00:18:19,440 --> 00:18:22,879 Speaker 1: there was an element about like reinforcing my ego to 311 00:18:22,960 --> 00:18:27,520 Speaker 1: the posting that was not was like not very healthy 312 00:18:27,600 --> 00:18:30,439 Speaker 1: for me, or like what was was feeding a lot 313 00:18:30,520 --> 00:18:33,840 Speaker 1: of other like subconscious insecurities or whatever, and I was like, 314 00:18:33,880 --> 00:18:36,479 Speaker 1: oh God, this is like torturous in a way. But 315 00:18:36,720 --> 00:18:42,080 Speaker 1: I think we're all made differently, you know. Well, I agree. 316 00:18:42,119 --> 00:18:45,000 Speaker 1: I definitely had moments of like, yeah, posting kind of 317 00:18:45,040 --> 00:18:47,800 Speaker 1: like subtweets, but I would also argue that I had 318 00:18:47,840 --> 00:18:49,840 Speaker 1: to go through that phase of my life to now 319 00:18:49,880 --> 00:18:51,720 Speaker 1: come out on the other side. So not to say 320 00:18:51,760 --> 00:18:54,480 Speaker 1: you have to, but if you lead into all your tendencies, 321 00:18:54,520 --> 00:18:57,359 Speaker 1: you end up healing yourself faster. I don't know, as 322 00:18:57,359 --> 00:19:00,679 Speaker 1: sounds really bananas, but I I feel like I do 323 00:19:00,760 --> 00:19:03,240 Speaker 1: feel like that Scott and Smoother are using social media 324 00:19:03,400 --> 00:19:07,920 Speaker 1: in that way. Sure, I mean, I think it's more more, uh, 325 00:19:08,040 --> 00:19:12,280 Speaker 1: it's less bananas than just assuming that all these social 326 00:19:12,280 --> 00:19:16,040 Speaker 1: media platforms are just like there and not affecting us 327 00:19:16,040 --> 00:19:19,479 Speaker 1: in some profound way as a as a society like that. 328 00:19:19,920 --> 00:19:22,320 Speaker 1: I mean, there was a news story over the weekend 329 00:19:22,520 --> 00:19:27,360 Speaker 1: that Trump being banned, like disinformation about the election went down, 330 00:19:28,880 --> 00:19:31,800 Speaker 1: And I reply to that was like, do we will 331 00:19:31,840 --> 00:19:35,240 Speaker 1: we look back on the social media era as like 332 00:19:35,680 --> 00:19:38,840 Speaker 1: the way somebody who is in recovery looks back on 333 00:19:38,920 --> 00:19:41,199 Speaker 1: like a you know what they did while they were 334 00:19:41,280 --> 00:19:46,720 Speaker 1: under the influence. And but I I also feel like 335 00:19:47,520 --> 00:19:50,520 Speaker 1: that might have been specific to having a president who 336 00:19:50,640 --> 00:19:53,960 Speaker 1: was using social media in that way. But there is 337 00:19:54,160 --> 00:19:57,160 Speaker 1: there is that power right there. There is the ability 338 00:19:57,160 --> 00:20:01,440 Speaker 1: for somebody to come in and complete really take over 339 00:20:01,520 --> 00:20:05,880 Speaker 1: if it's not regulated in some way that is has 340 00:20:05,880 --> 00:20:09,280 Speaker 1: an eye towards the overall health of society as opposed 341 00:20:09,359 --> 00:20:13,399 Speaker 1: to the you know what is driving revenue. Well, I 342 00:20:13,720 --> 00:20:16,720 Speaker 1: see it as the same way as like when you 343 00:20:16,840 --> 00:20:18,960 Speaker 1: first get your trust broken, you might be like, oh, 344 00:20:19,000 --> 00:20:21,480 Speaker 1: I better not trust anymore. But then over time, when 345 00:20:21,480 --> 00:20:24,040 Speaker 1: you start leaning into learning lessons, you realize, like, trust 346 00:20:24,080 --> 00:20:26,879 Speaker 1: is one of my good qualities. I just have to 347 00:20:26,920 --> 00:20:29,360 Speaker 1: learn how to discern who to trust. And I think 348 00:20:29,359 --> 00:20:32,520 Speaker 1: Trump taking advantage of a lot of his followers is similar, 349 00:20:32,640 --> 00:20:37,399 Speaker 1: like they do have trauma bonds, but he it's not. 350 00:20:37,640 --> 00:20:40,400 Speaker 1: The idea isn't to never trusts to figure out how 351 00:20:40,440 --> 00:20:42,640 Speaker 1: to like spot the red flags, because the trust part 352 00:20:42,680 --> 00:20:46,960 Speaker 1: will actually make the community stronger if people know how 353 00:20:47,040 --> 00:20:48,920 Speaker 1: to discern. I don't know. Now that sounds really boring. 354 00:20:48,960 --> 00:20:51,920 Speaker 1: I am a comedian, but I haven't done stand and 355 00:20:52,119 --> 00:20:56,840 Speaker 1: that's almost a year. There is a mirror to it, 356 00:20:56,880 --> 00:21:00,600 Speaker 1: but it requires a level of self awareness and openness 357 00:21:00,640 --> 00:21:03,840 Speaker 1: to self examination, I think, to get those lessons out 358 00:21:03,880 --> 00:21:08,200 Speaker 1: of it, because many people don't. Yeah, I worry that 359 00:21:08,240 --> 00:21:11,520 Speaker 1: there's a lot of like I've noticed in pop culture 360 00:21:11,600 --> 00:21:15,640 Speaker 1: there being a trend of the only example that's coming 361 00:21:15,680 --> 00:21:17,800 Speaker 1: to mind is Memento. But like, I think there are 362 00:21:17,800 --> 00:21:21,400 Speaker 1: a lot of movies where it's like people intentionally ignore 363 00:21:21,480 --> 00:21:24,880 Speaker 1: something to like give their life meaning they like. And 364 00:21:25,040 --> 00:21:27,680 Speaker 1: I feel like that is a reflection of something we're 365 00:21:27,680 --> 00:21:34,000 Speaker 1: seeing more and more as technology. Yeah, like intentional cognitive dissonance, 366 00:21:34,520 --> 00:21:37,439 Speaker 1: which I think could get you in trouble on the 367 00:21:37,720 --> 00:21:41,000 Speaker 1: what what you're talking about? But let's talk about something 368 00:21:41,000 --> 00:21:44,520 Speaker 1: you think is overrated? Okay, I think learning math in 369 00:21:44,560 --> 00:21:48,000 Speaker 1: school is overrated, and I'll tell you why because I 370 00:21:48,040 --> 00:21:50,200 Speaker 1: never like math growing up. I did fine at it, 371 00:21:50,600 --> 00:21:53,160 Speaker 1: but in Quarantine, as you guys might know, I think 372 00:21:53,160 --> 00:21:55,639 Speaker 1: a lot and talk a lot um I and I 373 00:21:55,680 --> 00:21:59,320 Speaker 1: like to write poetry secretly, but I started thinking a 374 00:21:59,320 --> 00:22:01,879 Speaker 1: lot about Tom I'm and like all these sort of 375 00:22:01,960 --> 00:22:04,280 Speaker 1: quantum thoughts that I didn't realize or quantum. And I 376 00:22:04,320 --> 00:22:06,240 Speaker 1: wrote a poem that I meant to write as a 377 00:22:06,280 --> 00:22:09,159 Speaker 1: love poem for my boyfriend, and I posted it as 378 00:22:09,200 --> 00:22:11,239 Speaker 1: a it's kind of a riddle, and I posted it 379 00:22:11,320 --> 00:22:13,040 Speaker 1: as a riddle to see if people could guess it, 380 00:22:13,520 --> 00:22:15,760 Speaker 1: and a lot of people told me I just wrote 381 00:22:15,760 --> 00:22:19,280 Speaker 1: equals MC squared as a poem. And then I started 382 00:22:19,280 --> 00:22:22,120 Speaker 1: getting sent quantum videos and started watching them and realized 383 00:22:22,160 --> 00:22:25,000 Speaker 1: that not that like I in a way I learned 384 00:22:25,000 --> 00:22:26,560 Speaker 1: math on the street, is what I'm trying to say. 385 00:22:26,560 --> 00:22:32,000 Speaker 1: I like thinking like the way that the thinkers used 386 00:22:32,000 --> 00:22:34,520 Speaker 1: to think because they just had so much time. And 387 00:22:34,720 --> 00:22:38,920 Speaker 1: what I realized is it's actually school is good because 388 00:22:38,960 --> 00:22:41,280 Speaker 1: it is a shortcut, but it's not the only way 389 00:22:41,320 --> 00:22:44,560 Speaker 1: to learn, because at some point someone discovered it. And 390 00:22:44,600 --> 00:22:47,600 Speaker 1: I think these are like if their truth their truths 391 00:22:47,600 --> 00:22:50,040 Speaker 1: of the universe that are built into our human condition 392 00:22:50,080 --> 00:22:52,920 Speaker 1: to know, and if you're isolated from people long enough 393 00:22:52,960 --> 00:22:55,439 Speaker 1: and you sit there and think you could actually just 394 00:22:55,600 --> 00:22:58,280 Speaker 1: know things like that too, which is wild because I 395 00:22:58,320 --> 00:23:00,960 Speaker 1: started watching quantum videos and going, these are the dreams 396 00:23:00,960 --> 00:23:03,159 Speaker 1: that I've been having, like to a t like I 397 00:23:03,280 --> 00:23:05,800 Speaker 1: was like drawing like pictures that I was like, I 398 00:23:05,800 --> 00:23:07,720 Speaker 1: don't know, I think this is the equation for time. 399 00:23:08,040 --> 00:23:10,159 Speaker 1: And then a scientist on TV was like, on my 400 00:23:10,240 --> 00:23:12,960 Speaker 1: YouTube is like, this is how we would define time. 401 00:23:13,080 --> 00:23:15,080 Speaker 1: Like what, I don't have to go to school for 402 00:23:15,560 --> 00:23:20,040 Speaker 1: the field. No, everyone, I think everyone has the ability 403 00:23:20,080 --> 00:23:23,760 Speaker 1: to know this. It's just what we use to express it. Yet. Yeah, 404 00:23:23,840 --> 00:23:26,560 Speaker 1: because I'm using like poems, which is like super like 405 00:23:27,359 --> 00:23:29,639 Speaker 1: like you know, I'm that's a comedy. I think has 406 00:23:29,680 --> 00:23:32,280 Speaker 1: helped me stay away from this. But now I there's 407 00:23:32,320 --> 00:23:35,240 Speaker 1: no filter, no buffer. I can't wait till you know, 408 00:23:35,359 --> 00:23:38,160 Speaker 1: we're like in some Watchman reality where like Teresa Lee 409 00:23:38,320 --> 00:23:43,280 Speaker 1: has solved the quandary about energy and like and we 410 00:23:43,320 --> 00:23:46,840 Speaker 1: have now the ability to time travel safely without affecting 411 00:23:46,920 --> 00:23:49,760 Speaker 1: space and time. I'm looking forward to that. But yeah, 412 00:23:49,760 --> 00:23:53,560 Speaker 1: I think like learning that's so interesting. Like I'm learning 413 00:23:53,560 --> 00:23:56,919 Speaker 1: about quantum physics in the streets. It's like step up, 414 00:23:57,040 --> 00:24:01,359 Speaker 1: but like I'm channing datum but like slowly getting this 415 00:24:01,400 --> 00:24:06,399 Speaker 1: informal education on it. Wow, I am like jealous of that. 416 00:24:06,480 --> 00:24:10,400 Speaker 1: I've only thought more deeply about how reality shows are made. Well, 417 00:24:10,400 --> 00:24:12,840 Speaker 1: I almost we'll see that could be something because you're 418 00:24:12,840 --> 00:24:15,560 Speaker 1: looking at human character. But I would almost argue this 419 00:24:15,600 --> 00:24:17,680 Speaker 1: sounds wild, But it made me think, like what if 420 00:24:17,720 --> 00:24:20,040 Speaker 1: we could teach I think kids should go to school, 421 00:24:20,040 --> 00:24:23,080 Speaker 1: but there might be a way like when children are 422 00:24:23,160 --> 00:24:26,480 Speaker 1: younger to have like in a more unstructured like a 423 00:24:26,560 --> 00:24:29,440 Speaker 1: couple of years where they discover and they're supervised, but 424 00:24:29,480 --> 00:24:31,359 Speaker 1: they learn things and then we can step in and 425 00:24:31,520 --> 00:24:33,879 Speaker 1: because to know something you have to learn it on 426 00:24:33,920 --> 00:24:36,320 Speaker 1: your own, and to be taught something and you're just 427 00:24:36,400 --> 00:24:39,000 Speaker 1: repeating you don't actually know it, so many children like 428 00:24:39,080 --> 00:24:41,520 Speaker 1: forget things because of that. But I don't know. I 429 00:24:41,600 --> 00:24:44,080 Speaker 1: just think like if we like let kids like I 430 00:24:44,080 --> 00:24:49,000 Speaker 1: don't know, ages three to six just have supervised discovery time, 431 00:24:49,600 --> 00:24:52,560 Speaker 1: like to actually just try to figure out the world 432 00:24:52,560 --> 00:24:55,560 Speaker 1: on their own, we would actually be making way more 433 00:24:55,600 --> 00:25:00,240 Speaker 1: innovation because you know everything you can know, but you 434 00:25:00,320 --> 00:25:04,080 Speaker 1: just have to learn the language that you to express it. Yeah. 435 00:25:04,119 --> 00:25:07,960 Speaker 1: I mean that was one of the big kind of 436 00:25:08,240 --> 00:25:11,240 Speaker 1: I think motivating factors at the place where we first 437 00:25:11,240 --> 00:25:15,720 Speaker 1: worked together cracked was just like realizing how much of 438 00:25:15,920 --> 00:25:21,280 Speaker 1: what like what we learned in school was giving you know, 439 00:25:22,240 --> 00:25:27,439 Speaker 1: it was screwing over like how interesting a given subject is. Uh, 440 00:25:27,600 --> 00:25:30,159 Speaker 1: including math, which is not something we ended up writing 441 00:25:30,359 --> 00:25:33,159 Speaker 1: a lot about. But you, uh, you just put it 442 00:25:33,200 --> 00:25:36,560 Speaker 1: really beautifully. All Right, let's take a quick break and 443 00:25:36,600 --> 00:25:50,720 Speaker 1: we'll be right back to talk inauguration and we're back 444 00:25:51,320 --> 00:25:54,879 Speaker 1: and uh, the inauguration is today going to be one 445 00:25:54,920 --> 00:25:59,480 Speaker 1: of the most heavily secured events ever in the nation. Uh. 446 00:25:59,480 --> 00:26:02,919 Speaker 1: And the National Guard as a result of that, is 447 00:26:03,000 --> 00:26:06,919 Speaker 1: having to come to terms with a couple issues they 448 00:26:06,960 --> 00:26:11,639 Speaker 1: might have surrounding white nationalism and white supremacy. I don't know, 449 00:26:11,720 --> 00:26:15,320 Speaker 1: is there a problem people who have have extremists, people 450 00:26:15,320 --> 00:26:18,800 Speaker 1: who have been monitoring extremism in the country been saying, Um, 451 00:26:18,840 --> 00:26:22,160 Speaker 1: they're in law enforcement in the military too. Uh. Yeah, 452 00:26:22,200 --> 00:26:25,639 Speaker 1: we're now at the point where they have realized, Okay, 453 00:26:25,640 --> 00:26:27,440 Speaker 1: maybe we need to check up on this a little bit. 454 00:26:27,480 --> 00:26:31,480 Speaker 1: Considering the amount of former and active duty law enforcement 455 00:26:31,520 --> 00:26:34,400 Speaker 1: and military that pulled up on one six that they 456 00:26:34,440 --> 00:26:39,440 Speaker 1: have to be like, okay, fuck, well it's twenty five troops. Um, 457 00:26:39,560 --> 00:26:42,160 Speaker 1: let's hurry up and do a quick vetting of them 458 00:26:42,160 --> 00:26:44,479 Speaker 1: all and this is what they say there, So they 459 00:26:44,480 --> 00:26:48,800 Speaker 1: are going to vet all twenty five thousand troops. Apparently, 460 00:26:49,240 --> 00:26:51,200 Speaker 1: they say, quote, the screening effort will very at the 461 00:26:51,280 --> 00:26:55,160 Speaker 1: very least, at the very least involved running their names 462 00:26:55,160 --> 00:26:57,720 Speaker 1: through databases and watch lists to see if anything pops up. 463 00:26:58,560 --> 00:27:00,560 Speaker 1: And then they say, quote for this deployment, and everybody 464 00:27:00,600 --> 00:27:03,480 Speaker 1: is screened additionally, but it's more of a reassurance because 465 00:27:03,520 --> 00:27:06,680 Speaker 1: we do everything we can do to know our guardsmen, 466 00:27:06,760 --> 00:27:09,720 Speaker 1: our soldiers and airmen. I feel like they're more strict 467 00:27:09,720 --> 00:27:11,960 Speaker 1: about vote like voter suppression than they are with the 468 00:27:12,040 --> 00:27:15,160 Speaker 1: national card. Oh yeah, like just come come in if 469 00:27:15,200 --> 00:27:18,840 Speaker 1: you if we're trust you, you're you're white. As of 470 00:27:19,080 --> 00:27:22,560 Speaker 1: right now, they've had ousked two people so far because 471 00:27:22,600 --> 00:27:29,320 Speaker 1: of their background check. So we'll see scenes. We don't 472 00:27:29,320 --> 00:27:31,480 Speaker 1: know how far they they say. They apparently they're saying 473 00:27:31,520 --> 00:27:35,080 Speaker 1: that the like sort of, um, the vetting process will 474 00:27:35,080 --> 00:27:40,639 Speaker 1: continue into went like into inauguration day Wednesday. It's the 475 00:27:40,720 --> 00:27:50,320 Speaker 1: stage and okay, um, maybe we should hologram Um Biden 476 00:27:50,400 --> 00:27:52,320 Speaker 1: for this. That's what I've been saying, Like I don't 477 00:27:52,440 --> 00:27:55,440 Speaker 1: I don't understand. It's COVID for COVID reasons, but really, 478 00:27:55,480 --> 00:27:57,639 Speaker 1: like let's be really like, this kind of ship happens 479 00:27:57,640 --> 00:28:00,800 Speaker 1: in other countries within our lifetime, and we just feel 480 00:28:00,840 --> 00:28:03,880 Speaker 1: like we're just it's like we're literally on a path 481 00:28:03,960 --> 00:28:07,040 Speaker 1: that has a pattern that's you can actually use, Like 482 00:28:07,080 --> 00:28:09,840 Speaker 1: we can look at past countries that have been taken over, 483 00:28:10,119 --> 00:28:13,880 Speaker 1: and yet we're like, yeah, but it's different. You can 484 00:28:13,920 --> 00:28:16,119 Speaker 1: look at the countries, you can look at the countries 485 00:28:16,160 --> 00:28:22,600 Speaker 1: where we backed the coupe. Oh, they're literally cooing themselves 486 00:28:22,640 --> 00:28:27,200 Speaker 1: or whatever. It's like, yeah, it's almost like they if 487 00:28:27,240 --> 00:28:31,640 Speaker 1: only they had known before uh, the sixth of January, 488 00:28:31,640 --> 00:28:35,680 Speaker 1: that there was a white nationalism problem in the National 489 00:28:35,720 --> 00:28:38,680 Speaker 1: Guard or that that was a bad thing like that. 490 00:28:38,680 --> 00:28:42,360 Speaker 1: That yeah, everywhere, Like we I mean, the very first 491 00:28:42,400 --> 00:28:46,720 Speaker 1: episode we did of this show was right after Charlottesville, 492 00:28:46,880 --> 00:28:50,080 Speaker 1: and like I still like one of the most visceral 493 00:28:50,120 --> 00:28:53,880 Speaker 1: memories I have of anything from doing this show was 494 00:28:54,480 --> 00:28:58,240 Speaker 1: that dude, like one of one of the white supremacists 495 00:28:58,280 --> 00:29:03,000 Speaker 1: like firing a handgun like multiple times, like in a 496 00:29:03,080 --> 00:29:05,400 Speaker 1: standoff and just like firing it at the ground. But 497 00:29:05,480 --> 00:29:09,000 Speaker 1: like basically like this is I'm gonna start shooting people, 498 00:29:09,320 --> 00:29:12,320 Speaker 1: and they're just being you know, white cops in the 499 00:29:12,360 --> 00:29:17,040 Speaker 1: background who are just like ha ha, like man did 500 00:29:17,080 --> 00:29:19,840 Speaker 1: not give it. Well, I feel like that's what's so frustrating, 501 00:29:19,960 --> 00:29:22,240 Speaker 1: is I mean, I keep seeing this rhetoric unless a 502 00:29:22,240 --> 00:29:24,600 Speaker 1: little bit more people are waking up. But even after 503 00:29:24,760 --> 00:29:27,400 Speaker 1: January six, people are saying like, this isn't us. We 504 00:29:27,440 --> 00:29:29,840 Speaker 1: can't do this. But it's like, we've had plenty of evidence, 505 00:29:29,880 --> 00:29:32,120 Speaker 1: this is us, we pointed, this is us coming to 506 00:29:34,560 --> 00:29:37,560 Speaker 1: It is just like, yeah, we have the evidence already 507 00:29:37,760 --> 00:29:40,560 Speaker 1: instead of now. I feel like it's like Jack, you're 508 00:29:40,560 --> 00:29:43,480 Speaker 1: talking about recovery earlier, but it's like, yeah, you can now, 509 00:29:43,520 --> 00:29:46,000 Speaker 1: we know, but you can't just keep saying I've have 510 00:29:46,000 --> 00:29:49,000 Speaker 1: a problem, a problem. It's like, now you got to 511 00:29:49,080 --> 00:29:50,960 Speaker 1: fix it. And we've spent a lot of time being 512 00:29:50,960 --> 00:29:55,719 Speaker 1: like we're racist but doing nothing about it. Right, Yeah, alright, 513 00:29:55,760 --> 00:30:02,000 Speaker 1: let's talk about the president's former president baby as you 514 00:30:02,120 --> 00:30:10,520 Speaker 1: record the episode that never aired my pillow CEO. If 515 00:30:10,560 --> 00:30:13,480 Speaker 1: his if his plan goes into action, maybe maybe we're 516 00:30:13,680 --> 00:30:20,600 Speaker 1: blame it on China's Yes, but I don't know his 517 00:30:20,600 --> 00:30:24,320 Speaker 1: His last week seemed to be Lindsay Graham and other 518 00:30:24,400 --> 00:30:26,920 Speaker 1: people who are still in his corner, planning a little 519 00:30:26,960 --> 00:30:32,520 Speaker 1: distraction trips and giving him like new things to just 520 00:30:32,600 --> 00:30:36,920 Speaker 1: distract him. Right, Yeah, they have to, you know, he 521 00:30:37,080 --> 00:30:40,920 Speaker 1: was there. We had a lot of warmongering going on 522 00:30:40,920 --> 00:30:43,360 Speaker 1: on the beginning of January. We're like, oh, no, what 523 00:30:43,520 --> 00:30:46,240 Speaker 1: is he what's okay? So maybe maybe he's not going 524 00:30:46,280 --> 00:30:49,000 Speaker 1: to try something in terms of armed conflict with Iran, 525 00:30:49,440 --> 00:30:52,200 Speaker 1: But yeah, it's now just been basically shut the funk 526 00:30:52,280 --> 00:30:54,479 Speaker 1: up and you know, try and get out of this 527 00:30:54,560 --> 00:30:58,240 Speaker 1: and maybe maybe maybe someone will pardon you and the 528 00:30:58,280 --> 00:31:01,640 Speaker 1: country will continue on. It's terrible pattern of excusing this 529 00:31:01,720 --> 00:31:05,240 Speaker 1: kind of ship. But every day has been something, um, 530 00:31:05,280 --> 00:31:08,640 Speaker 1: you know, from golfing with Lindsey Graham to you know, 531 00:31:08,920 --> 00:31:11,160 Speaker 1: they gave him a pile of CDs with it that 532 00:31:11,200 --> 00:31:13,480 Speaker 1: had all the plastic wrap that we're impossible to open 533 00:31:13,520 --> 00:31:15,760 Speaker 1: from like the nineties early two thousand's. They had him 534 00:31:15,760 --> 00:31:18,200 Speaker 1: open seven hundred of those ships for a day just 535 00:31:18,200 --> 00:31:22,520 Speaker 1: to like just keep him occupied. And yeah, uh, it's 536 00:31:22,560 --> 00:31:25,600 Speaker 1: it's been all in service of this man's ego. And 537 00:31:25,640 --> 00:31:28,040 Speaker 1: it's just funny to read the sort of everything around 538 00:31:28,040 --> 00:31:30,239 Speaker 1: this From the Washington Post, same quote, he has not 539 00:31:30,320 --> 00:31:33,240 Speaker 1: held any public events in six days, although Aids insist 540 00:31:33,360 --> 00:31:37,280 Speaker 1: he is hard at work on the American people, publishing 541 00:31:37,360 --> 00:31:41,080 Speaker 1: daily on the president's otherwise empty public schedule that he 542 00:31:41,400 --> 00:31:44,920 Speaker 1: quote and this is on the president's daily schedule. Quote, 543 00:31:45,160 --> 00:31:48,560 Speaker 1: will work from early in the morning until late in 544 00:31:48,600 --> 00:31:52,760 Speaker 1: the evening and make again verbatim, this is what's written down, 545 00:31:53,040 --> 00:31:57,920 Speaker 1: make many calls and have many meetings. Oh my god. 546 00:31:57,960 --> 00:32:00,240 Speaker 1: He literally is a kid that just wished to be 547 00:32:00,280 --> 00:32:02,760 Speaker 1: big excep. He's doing it badly. Like it's not like 548 00:32:02,840 --> 00:32:06,160 Speaker 1: it's big end. Well, a kid who got there would 549 00:32:06,160 --> 00:32:08,040 Speaker 1: be like like I need an adult to help me, 550 00:32:08,080 --> 00:32:11,360 Speaker 1: like have an air of legitimacy. Like he's just like no, 551 00:32:11,480 --> 00:32:14,480 Speaker 1: I don't know, baby, work hard all day, do meetings 552 00:32:14,640 --> 00:32:19,000 Speaker 1: and go on phone, big, big and loud. I'm like, 553 00:32:19,080 --> 00:32:21,120 Speaker 1: what if he's like traveling around. This is where my 554 00:32:21,160 --> 00:32:23,240 Speaker 1: brain gets paranoid, Like what if he's leaving har Crux 555 00:32:23,360 --> 00:32:26,520 Speaker 1: is everywhere of like himself, So it's like like like 556 00:32:26,560 --> 00:32:29,960 Speaker 1: a little little bits of himself, like evil Trump spirits 557 00:32:30,000 --> 00:32:32,840 Speaker 1: around so like you know, four years down the road 558 00:32:32,920 --> 00:32:35,560 Speaker 1: you accudentally opened a cursed gem and it's like I'm back, 559 00:32:35,800 --> 00:32:38,080 Speaker 1: I'm too far or whatever. I think those those were 560 00:32:38,160 --> 00:32:41,680 Speaker 1: left around the country a long time ago, even before Trump. 561 00:32:41,960 --> 00:32:44,240 Speaker 1: So we may who knows, but yeah, there may be 562 00:32:44,320 --> 00:32:46,440 Speaker 1: new one's new horcrux is in the mix, who knows. 563 00:32:47,040 --> 00:32:49,440 Speaker 1: But then also on Fox and Friends, they continue to 564 00:32:49,640 --> 00:32:53,800 Speaker 1: really just pat him on is back on the way 565 00:32:53,840 --> 00:32:57,840 Speaker 1: out the sick of fan fest on his favorite show, 566 00:32:57,920 --> 00:33:03,680 Speaker 1: Fox and Friends. It was unbelievable. Um On Tuesday morning, 567 00:33:03,720 --> 00:33:06,800 Speaker 1: Ainsley Earhart had to just, you know, let the president 568 00:33:06,840 --> 00:33:08,960 Speaker 1: know how much of an admire he is. How he 569 00:33:09,040 --> 00:33:11,880 Speaker 1: just stands up to everything. It works so hard, ties 570 00:33:12,000 --> 00:33:14,920 Speaker 1: President Trump, but no one can argue he is a worker. 571 00:33:15,360 --> 00:33:18,560 Speaker 1: You know, he doesn't drink alcohol. He stays up late 572 00:33:18,560 --> 00:33:22,040 Speaker 1: at night. He watches every show. I'm sorry, so he 573 00:33:22,360 --> 00:33:25,200 Speaker 1: said he doesn't drink up alcohol. He stays up late, 574 00:33:25,760 --> 00:33:30,520 Speaker 1: watches every episode everything. Me two years ago, I just 575 00:33:30,560 --> 00:33:36,840 Speaker 1: like depression. That's just stand up late watching TV is depression. 576 00:33:36,920 --> 00:33:39,120 Speaker 1: He's going, Yeah, he's coming for that spot on Spotify. 577 00:33:39,200 --> 00:33:41,680 Speaker 1: This is congratulations, Donald Trump. You're in the point one 578 00:33:41,720 --> 00:33:45,200 Speaker 1: oh one percent of Fox and Friends watchers. We'll go 579 00:33:45,280 --> 00:33:48,080 Speaker 1: on to hear her continue with this eulogy. He's working. 580 00:33:48,120 --> 00:33:51,040 Speaker 1: He got to work immediately. And now Joe Biden is 581 00:33:51,040 --> 00:33:52,840 Speaker 1: saying he's going to get to work on immigration on 582 00:33:52,880 --> 00:33:55,800 Speaker 1: the first day in office. Some are criticizing him, like 583 00:33:55,840 --> 00:33:59,680 Speaker 1: Senator Cotton for focusing on this issue instead of the 584 00:33:59,720 --> 00:34:03,160 Speaker 1: pan Emick what do you say, Well, this is going 585 00:34:03,200 --> 00:34:04,880 Speaker 1: to be part of the problem of where you know, 586 00:34:04,920 --> 00:34:07,160 Speaker 1: absence makes the heart grow fonder, and while he's been 587 00:34:07,160 --> 00:34:09,799 Speaker 1: able to stay in the background as President elect um, 588 00:34:09,800 --> 00:34:13,080 Speaker 1: he's started being held less accountable for what is his 589 00:34:13,200 --> 00:34:16,440 Speaker 1: priority list. Anyway, they go on to just you know, 590 00:34:16,560 --> 00:34:20,759 Speaker 1: spin that absence makes the heart grow fonder about Trump. Yeah, 591 00:34:20,800 --> 00:34:23,239 Speaker 1: I almost feel like maybe that's a strategy along is 592 00:34:23,280 --> 00:34:26,200 Speaker 1: be so bad but also do nothing and then you 593 00:34:26,239 --> 00:34:29,320 Speaker 1: can't really like obviously the Republicans won't like the stuff 594 00:34:29,320 --> 00:34:32,000 Speaker 1: Democrats do, but it will be active and they'll be like, 595 00:34:32,000 --> 00:34:35,879 Speaker 1: well Trump didn't do that. But because he didn't do yeah, 596 00:34:35,960 --> 00:34:37,920 Speaker 1: and then him leaving office is going to give us 597 00:34:37,920 --> 00:34:40,640 Speaker 1: the feeling like people on the left of feeling of relief, 598 00:34:41,239 --> 00:34:44,000 Speaker 1: like leaving a toxic situation. So in a way we 599 00:34:44,040 --> 00:34:46,080 Speaker 1: all get to remember our last memory of him as 600 00:34:46,120 --> 00:34:49,239 Speaker 1: like and wait in that same cycle where you have 601 00:34:49,280 --> 00:34:51,239 Speaker 1: that crisis where you think about going back to that 602 00:34:53,560 --> 00:35:00,480 Speaker 1: oh the x smash real quick and you're like, oh what, Yeah, 603 00:35:00,520 --> 00:35:04,360 Speaker 1: that's exactly when up text from America comes back, Like 604 00:35:04,520 --> 00:35:06,880 Speaker 1: Donald Trump hits that US in a couple of years 605 00:35:06,920 --> 00:35:11,200 Speaker 1: a w y d um, which I'll do. There's that 606 00:35:11,320 --> 00:35:14,480 Speaker 1: Twitter thread that's going around that's like just the greatest 607 00:35:14,560 --> 00:35:18,080 Speaker 1: hits of his most funniest moments basically where he was 608 00:35:18,400 --> 00:35:21,680 Speaker 1: a hilarious laughing stock. But it does kind of take 609 00:35:21,760 --> 00:35:25,640 Speaker 1: the pain out of what having him as the president 610 00:35:26,440 --> 00:35:31,440 Speaker 1: was for the for the country. It's like with George W. Bush, 611 00:35:31,440 --> 00:35:34,400 Speaker 1: it was like we turned him into an adorable dummy, 612 00:35:34,800 --> 00:35:37,920 Speaker 1: uh in in retrospect, and not somebody who led to 613 00:35:37,960 --> 00:35:42,279 Speaker 1: the deaths of millions of people. Yeah. Yeah, So I 614 00:35:42,320 --> 00:35:45,759 Speaker 1: don't know, it's tough because I think everybody's going through 615 00:35:45,800 --> 00:35:50,839 Speaker 1: this national trauma and having to make sense of it, 616 00:35:50,960 --> 00:35:54,759 Speaker 1: and you know, processes process it however they can. But 617 00:35:55,480 --> 00:35:58,279 Speaker 1: it does just feel like, I don't know, we we 618 00:35:58,320 --> 00:36:02,520 Speaker 1: do have a tendency to kind of uh rose tinted 619 00:36:02,560 --> 00:36:06,799 Speaker 1: glasses ex presidents, uh yeah, and just in general, we're 620 00:36:06,800 --> 00:36:10,600 Speaker 1: not we're not open enough societally to process our trauma, 621 00:36:10,680 --> 00:36:13,000 Speaker 1: even on a personal level in this country, you know 622 00:36:13,040 --> 00:36:15,640 Speaker 1: what I mean? So to take it here, I'm like, 623 00:36:15,840 --> 00:36:17,759 Speaker 1: I don't think we're going to be processing this much 624 00:36:17,800 --> 00:36:22,520 Speaker 1: at all would be the thing. We're like, and you're 625 00:36:22,560 --> 00:36:24,520 Speaker 1: just drinking, you know what I mean? Like, I don't 626 00:36:24,560 --> 00:36:27,359 Speaker 1: know how much we can do that, but who knows, 627 00:36:27,440 --> 00:36:31,080 Speaker 1: because now the elites have been threatened by this presidency 628 00:36:31,239 --> 00:36:34,359 Speaker 1: and maybe you're taking all of the symptoms of you know, 629 00:36:34,440 --> 00:36:37,680 Speaker 1: systemic racism that came along with the administration seriously that 630 00:36:37,760 --> 00:36:41,560 Speaker 1: maybe we will. I don't I really don't know. Um, 631 00:36:41,600 --> 00:36:43,840 Speaker 1: but the inauguration day, just to kind of put a 632 00:36:43,920 --> 00:36:47,160 Speaker 1: bow on what the president's last moments in office are 633 00:36:47,200 --> 00:36:49,560 Speaker 1: going to be like. If things are still going to 634 00:36:49,600 --> 00:36:54,040 Speaker 1: a plan, uh, he should be having a military style 635 00:36:54,120 --> 00:37:00,360 Speaker 1: send off from Joint Base Andrews, which typically normally the 636 00:37:00,040 --> 00:37:05,360 Speaker 1: the the outgoing president goes to the inauguration and then says, hey, thanks, 637 00:37:05,880 --> 00:37:09,120 Speaker 1: he's the cocaine's under the weird table over there, and 638 00:37:09,160 --> 00:37:12,279 Speaker 1: you're going to go um and then you go do 639 00:37:12,360 --> 00:37:15,400 Speaker 1: your send off at Andrews and get and take the 640 00:37:15,440 --> 00:37:17,640 Speaker 1: plane for one last ride to wherever you're going. But 641 00:37:17,800 --> 00:37:22,120 Speaker 1: since this fucking crusty motherfucker doesn't want to ask Joe 642 00:37:22,239 --> 00:37:26,080 Speaker 1: Biden for like any permission, because technically, since he wouldn't 643 00:37:26,080 --> 00:37:28,480 Speaker 1: be the president anymore, it's like a request you make 644 00:37:28,560 --> 00:37:30,799 Speaker 1: to the president, be like, may I take this one 645 00:37:30,920 --> 00:37:34,000 Speaker 1: last ride upon Air Force one? Since he doesn't want 646 00:37:34,000 --> 00:37:36,040 Speaker 1: to do that ship, he's leaving before noon, so he 647 00:37:36,080 --> 00:37:40,200 Speaker 1: don't have to ask anybody for ship, and we think 648 00:37:40,200 --> 00:37:43,440 Speaker 1: he's going to return air Force one. We think he's 649 00:37:43,480 --> 00:37:50,440 Speaker 1: like like take fire fire like science cartoons, flame cartoons 650 00:37:51,520 --> 00:37:56,560 Speaker 1: on the back. Yeah, who knows, but I mean it 651 00:37:56,600 --> 00:37:58,439 Speaker 1: would go along with the other images we've seen because 652 00:37:58,440 --> 00:38:00,920 Speaker 1: remember there's that photo over the week of someone taking 653 00:38:01,000 --> 00:38:04,920 Speaker 1: off with the Abraham Lincoln bust, So who knows if 654 00:38:04,960 --> 00:38:07,120 Speaker 1: they go in there and they're like, yo, he's stripped 655 00:38:07,120 --> 00:38:11,719 Speaker 1: the He stripped the plane like it's cinder blocks, Like 656 00:38:12,960 --> 00:38:15,319 Speaker 1: people try to steal her shoes, Like it's like I 657 00:38:15,360 --> 00:38:20,759 Speaker 1: feel like, yeah, at this point, Sairo allegedly did he 658 00:38:20,840 --> 00:38:23,760 Speaker 1: need someplace to sleep, just curl up in her shoe 659 00:38:23,800 --> 00:38:26,040 Speaker 1: and just loves shoes. And I don't understand why my 660 00:38:26,120 --> 00:38:28,880 Speaker 1: wife says it's turning her off when I want to 661 00:38:28,920 --> 00:38:36,040 Speaker 1: sniff her tosies yum. Well, speaking of what happens after 662 00:38:36,280 --> 00:38:42,439 Speaker 1: Trump is done with Air Force one Mitch McConnell. Uh, 663 00:38:42,480 --> 00:38:45,560 Speaker 1: People were making a big deal that he basically said 664 00:38:45,719 --> 00:38:52,240 Speaker 1: yesterday the President encouraged the insurrection. Uh. And he's saying 665 00:38:52,280 --> 00:38:54,560 Speaker 1: the right things, like people are like, well, that's a 666 00:38:54,560 --> 00:38:58,200 Speaker 1: good sign, but he's saying them very carefully and in 667 00:38:58,239 --> 00:39:03,399 Speaker 1: a noncommittal way that it suggests that he's like, if 668 00:39:03,440 --> 00:39:08,440 Speaker 1: he wanted to be more forthright in his condemnation, he would, 669 00:39:08,680 --> 00:39:12,000 Speaker 1: like everything that we've learned of this person is that 670 00:39:12,080 --> 00:39:17,319 Speaker 1: he is a pure political animal who's only interested in 671 00:39:17,400 --> 00:39:22,399 Speaker 1: securing power. And you know, he's saying insurrection bad, but 672 00:39:22,960 --> 00:39:24,640 Speaker 1: I have to think he's going to use the fact 673 00:39:24,640 --> 00:39:26,920 Speaker 1: that Trump is no longer in office as an argument 674 00:39:26,960 --> 00:39:30,640 Speaker 1: to not go through with voting to impeach. It's hard, 675 00:39:30,680 --> 00:39:32,880 Speaker 1: you know. Yeah, he's like doing a thing where he 676 00:39:32,920 --> 00:39:36,600 Speaker 1: has to be Mitch McConnell and play poker. But then 677 00:39:36,960 --> 00:39:41,279 Speaker 1: the numbers are also going up for impeachment after he 678 00:39:41,400 --> 00:39:44,520 Speaker 1: leaves office. So like, because a lot of these especially 679 00:39:44,640 --> 00:39:47,680 Speaker 1: the establishment Republicans, are trying to figure out, like what 680 00:39:47,719 --> 00:39:51,040 Speaker 1: are we actually dealing with once he leaves, Like who 681 00:39:51,360 --> 00:39:53,959 Speaker 1: is really on that Trump ship? And they might mago 682 00:39:54,080 --> 00:39:57,680 Speaker 1: themselves into a third party or do we is there 683 00:39:57,719 --> 00:39:59,520 Speaker 1: a way to still get them back? So I think 684 00:39:59,520 --> 00:40:01,560 Speaker 1: they're content ending with a lot of different things they 685 00:40:01,560 --> 00:40:04,200 Speaker 1: could have. Jim Jordan's I don't think we want him back. Yeah, 686 00:40:04,320 --> 00:40:07,560 Speaker 1: nobody wants him, not even I don't even I don't 687 00:40:07,560 --> 00:40:12,040 Speaker 1: think Earth wants him. Um but yeah. All along with that, though, 688 00:40:12,160 --> 00:40:14,799 Speaker 1: is the one thing that I can see I can 689 00:40:14,840 --> 00:40:18,000 Speaker 1: see him doing both either being against impeachment or for it, 690 00:40:18,040 --> 00:40:21,440 Speaker 1: is that it helps him still be in charge of 691 00:40:21,480 --> 00:40:24,680 Speaker 1: what the Republican Party is. But I think right now 692 00:40:24,719 --> 00:40:26,600 Speaker 1: we don't know what that is, you know, because if 693 00:40:26,640 --> 00:40:30,480 Speaker 1: it turns if it's still pent Maga, then he has 694 00:40:30,800 --> 00:40:33,359 Speaker 1: then he might not be able to do anything about it. Right, 695 00:40:33,719 --> 00:40:36,160 Speaker 1: So it's a it's a very it's interesting. I mean, 696 00:40:36,239 --> 00:40:40,080 Speaker 1: you know, Darth Vader's daughter and Liz Cheney and him 697 00:40:40,080 --> 00:40:43,560 Speaker 1: are both seemingly going to do what's right. But we'll 698 00:40:43,560 --> 00:40:46,000 Speaker 1: see if that triangulation is going to work. It's funny 699 00:40:46,040 --> 00:40:48,120 Speaker 1: that use a Darth Vader because I was thinking, like 700 00:40:48,200 --> 00:40:54,919 Speaker 1: Star Wars, like when Ray and um, what's his face? Uh? Yeah, 701 00:40:54,960 --> 00:40:59,719 Speaker 1: Kyla Adam Driver when they when they get together, Because 702 00:41:00,520 --> 00:41:03,360 Speaker 1: like you know, even though the Democrats are sort of 703 00:41:03,800 --> 00:41:05,959 Speaker 1: starting to get better. I don't know a question mark. 704 00:41:06,400 --> 00:41:09,879 Speaker 1: They are like so much older in general than the Republicans, 705 00:41:10,040 --> 00:41:11,880 Speaker 1: And I do think we are going to get to 706 00:41:11,920 --> 00:41:14,600 Speaker 1: a point where like gen Z and the younger generation 707 00:41:14,680 --> 00:41:16,600 Speaker 1: will make a third party, and it will be from 708 00:41:16,640 --> 00:41:19,280 Speaker 1: both sides, because it's a fallacy that there's two sides, 709 00:41:19,280 --> 00:41:22,160 Speaker 1: since most of us are criticizing both sides. There's gonna 710 00:41:22,160 --> 00:41:24,040 Speaker 1: be like the third party that's going to be more 711 00:41:24,160 --> 00:41:26,480 Speaker 1: the voice of the future. It might not be all 712 00:41:26,560 --> 00:41:29,200 Speaker 1: like what we want, but it will feel more like 713 00:41:29,880 --> 00:41:32,839 Speaker 1: some people from super far left, super far right coming 714 00:41:32,840 --> 00:41:34,839 Speaker 1: together to be like, let's actually listen to each other. 715 00:41:34,920 --> 00:41:36,640 Speaker 1: And I don't know if I don't know if that 716 00:41:37,040 --> 00:41:40,400 Speaker 1: the extremes can come together, but I think the unifying 717 00:41:40,560 --> 00:41:43,520 Speaker 1: thing would be like people who understand that there's somehow 718 00:41:43,600 --> 00:41:48,759 Speaker 1: either economically or legislatively oppressed the extremes. Like I think 719 00:41:48,800 --> 00:41:50,440 Speaker 1: it goes in the circle because I mean not to 720 00:41:50,680 --> 00:41:52,560 Speaker 1: this is sort of silly, but like when I saw 721 00:41:52,600 --> 00:41:54,920 Speaker 1: the like they're very dangerous and violent guys who went 722 00:41:54,960 --> 00:41:57,239 Speaker 1: into the White House, but they're also these dudes who 723 00:41:57,360 --> 00:42:00,239 Speaker 1: just so much in due Land, where you like they're 724 00:42:00,239 --> 00:42:03,840 Speaker 1: not even connecting to like they're removed from the idea 725 00:42:03,880 --> 00:42:06,120 Speaker 1: of actually having a family, but they'll say things like, oh, 726 00:42:06,200 --> 00:42:09,920 Speaker 1: you know, traditional family. They're almost like extreme lesbian clans 727 00:42:09,920 --> 00:42:12,759 Speaker 1: that are like no mat Like it's obviously very different 728 00:42:12,800 --> 00:42:14,880 Speaker 1: because not violent, but like in the same sense of 729 00:42:14,880 --> 00:42:16,920 Speaker 1: rejecting the whole thing to then be part of a 730 00:42:16,920 --> 00:42:20,120 Speaker 1: culture that only is an echo chamber. They're actually way 731 00:42:20,120 --> 00:42:22,320 Speaker 1: more similar to the thing that they think they're super 732 00:42:22,360 --> 00:42:25,560 Speaker 1: against than they But I think it's still like it's 733 00:42:25,600 --> 00:42:27,959 Speaker 1: hard for Yeah, I don't know that how easily people 734 00:42:28,040 --> 00:42:31,040 Speaker 1: be able to put that ideology aside. I think overall, 735 00:42:31,080 --> 00:42:34,520 Speaker 1: I think over time people realize how empty this like 736 00:42:34,880 --> 00:42:37,960 Speaker 1: part is in language that's used is and how little 737 00:42:38,000 --> 00:42:40,839 Speaker 1: affect it actually has on your like your ongoing day 738 00:42:40,840 --> 00:42:43,719 Speaker 1: to day life. That to hear someone just be like, 739 00:42:43,800 --> 00:42:45,720 Speaker 1: I don't know what, you know, I don't care about 740 00:42:45,760 --> 00:42:48,080 Speaker 1: this or that. I'm just saying that we need to 741 00:42:48,239 --> 00:42:51,920 Speaker 1: have a just an essential level of humanity that we 742 00:42:51,960 --> 00:42:55,760 Speaker 1: apply across the board, you know, because it's getting into like, well, 743 00:42:56,080 --> 00:42:58,840 Speaker 1: what about the conservatism is about this? Like, well, you 744 00:42:58,840 --> 00:43:00,799 Speaker 1: know what, I don't care about about that, because I 745 00:43:00,800 --> 00:43:03,000 Speaker 1: think the biggest thing is that like I'm not looking 746 00:43:03,040 --> 00:43:06,520 Speaker 1: at destitute people that I know we can help or 747 00:43:06,440 --> 00:43:08,360 Speaker 1: or how I can how I can change my situation 748 00:43:08,520 --> 00:43:10,640 Speaker 1: from my kids. I think that's going to be like 749 00:43:10,680 --> 00:43:14,200 Speaker 1: a thing that hopefully gains more traction as like people 750 00:43:14,239 --> 00:43:16,560 Speaker 1: just you know, like you're saying, it's like it's the 751 00:43:16,920 --> 00:43:18,680 Speaker 1: like the part is in tug of war thing is 752 00:43:18,680 --> 00:43:21,480 Speaker 1: this sort of like the spectacle to detract from, Like yeah, 753 00:43:21,480 --> 00:43:24,440 Speaker 1: but what does that mean for our outcomes like humanity, 754 00:43:24,640 --> 00:43:27,439 Speaker 1: like living our lives. But I think that's exactly why, 755 00:43:27,640 --> 00:43:31,080 Speaker 1: like the identity politics are going to be less important 756 00:43:31,160 --> 00:43:34,120 Speaker 1: now that we have more decentralized ways of communicating, because 757 00:43:34,120 --> 00:43:36,960 Speaker 1: we can strip down ultimately, even though they go about 758 00:43:37,000 --> 00:43:39,640 Speaker 1: it the wrong way. Conservatives also just say they want 759 00:43:39,680 --> 00:43:41,640 Speaker 1: the best for their family. But if you could actually 760 00:43:41,640 --> 00:43:44,000 Speaker 1: strip it down to everyone, Like what if you could 761 00:43:44,080 --> 00:43:47,440 Speaker 1: vote with AI, like you literally just vote what you 762 00:43:47,480 --> 00:43:50,960 Speaker 1: wanted by policy and thought, and then it actually optimized 763 00:43:51,000 --> 00:43:54,480 Speaker 1: the perfect structure of like people want to roof over 764 00:43:54,520 --> 00:43:56,880 Speaker 1: their head. Okay, well here's how we could actually calculate 765 00:43:57,040 --> 00:43:59,480 Speaker 1: how to do that outside of identity politics. I think 766 00:43:59,480 --> 00:44:02,440 Speaker 1: people would put down the identity politics when they realized that, 767 00:44:02,560 --> 00:44:05,480 Speaker 1: oh me, and everyone I know wants to eat and sleep, 768 00:44:06,200 --> 00:44:07,960 Speaker 1: and actually this other stuff is like we can do 769 00:44:08,000 --> 00:44:10,239 Speaker 1: that later. Like I think we would get over the 770 00:44:10,280 --> 00:44:14,160 Speaker 1: identity stuff very fast the AI party. I believe that 771 00:44:14,239 --> 00:44:19,160 Speaker 1: everyone should have an announcing my iron, and we should 772 00:44:19,200 --> 00:44:25,239 Speaker 1: also ignore the three rules of robotics as was a Honestly, 773 00:44:25,600 --> 00:44:28,680 Speaker 1: let's just let's just get our hand off the brakes here, 774 00:44:28,719 --> 00:44:33,399 Speaker 1: folks deregulated. All right, let's take another quick break. We'll 775 00:44:33,400 --> 00:44:48,600 Speaker 1: be right back. And we're back and again looking forward 776 00:44:48,719 --> 00:44:52,160 Speaker 1: to I guess the end of today. Uh So, Joe 777 00:44:52,200 --> 00:44:55,520 Speaker 1: Biden will be president, and he has picked Dr Rachel 778 00:44:55,640 --> 00:45:00,239 Speaker 1: Levine to be Assistant Health Secretary. As America passed those 779 00:45:00,280 --> 00:45:04,959 Speaker 1: four hundred thousand COVID deaths in just a year. It's 780 00:45:04,960 --> 00:45:09,720 Speaker 1: been a single year since the since the first case 781 00:45:10,080 --> 00:45:12,919 Speaker 1: was found in America. Miles, you were pointing out, this 782 00:45:13,200 --> 00:45:17,600 Speaker 1: is kind of a encouraging sign. It has so many 783 00:45:17,640 --> 00:45:20,960 Speaker 1: things that are heartening about this woman being picked as 784 00:45:21,120 --> 00:45:24,720 Speaker 1: Assistant Health Secretary because not only like, okay, she's coming 785 00:45:24,760 --> 00:45:28,680 Speaker 1: from running the health department in Pennsylvania. Pennsylvania has been 786 00:45:28,920 --> 00:45:32,000 Speaker 1: like doing a really good job in terms of how 787 00:45:32,040 --> 00:45:37,120 Speaker 1: they've been handling COVID cases. Um, you know they're saying that, like, uh, 788 00:45:37,160 --> 00:45:39,880 Speaker 1: you know, under her leadership there was like a post 789 00:45:39,920 --> 00:45:44,040 Speaker 1: holiday spike, but overall their new cases and hospitalizations have 790 00:45:44,239 --> 00:45:47,520 Speaker 1: dropped since like early January, which is not as for 791 00:45:47,640 --> 00:45:52,680 Speaker 1: us in this city, we're like, okay, how please, because 792 00:45:52,960 --> 00:45:56,800 Speaker 1: we're out here lifting like regulations on cremation because there's 793 00:45:57,120 --> 00:46:01,640 Speaker 1: literally so many bodies piling up in this city. Um. 794 00:46:01,719 --> 00:46:05,120 Speaker 1: You know. Also that someone who isn't coming from pharma 795 00:46:05,320 --> 00:46:08,040 Speaker 1: or some revolving door thing or some weird think tank 796 00:46:08,120 --> 00:46:09,719 Speaker 1: that's really there to be like we need to get 797 00:46:09,760 --> 00:46:13,160 Speaker 1: money like public health. This is someone with public health 798 00:46:13,360 --> 00:46:15,360 Speaker 1: very much in the front of their mind. Uh. She 799 00:46:15,480 --> 00:46:19,040 Speaker 1: was a pediatrician at Penn State, and her expertise wasn't 800 00:46:19,040 --> 00:46:22,160 Speaker 1: helping young teens with eating disorders or anyone who's doing 801 00:46:22,200 --> 00:46:25,440 Speaker 1: self harm like. This is a compassionate person who whose 802 00:46:25,480 --> 00:46:29,719 Speaker 1: life's work was understand like is treating people. And the 803 00:46:29,760 --> 00:46:32,799 Speaker 1: one detail that the media is very has been pointing out, 804 00:46:32,840 --> 00:46:35,080 Speaker 1: almost just leading the entire thing with, is that she's 805 00:46:35,120 --> 00:46:38,560 Speaker 1: a trans woman. And and I think that like everything 806 00:46:38,640 --> 00:46:41,440 Speaker 1: is just like just hyper focused on this, which I 807 00:46:41,480 --> 00:46:43,759 Speaker 1: think is fantastic because it is historic to have this 808 00:46:43,920 --> 00:46:47,640 Speaker 1: first openly trans person have such a hold such high 809 00:46:47,719 --> 00:46:49,840 Speaker 1: office and things like that. But a lot of times 810 00:46:49,880 --> 00:46:52,879 Speaker 1: they're not talking about like what that means as her 811 00:46:52,920 --> 00:46:56,600 Speaker 1: function as the like the main policy driver of health 812 00:46:56,680 --> 00:47:00,760 Speaker 1: and human services. UM. And that's really what I'm excited about, 813 00:47:01,120 --> 00:47:04,160 Speaker 1: is that we have somebody who is has shown that 814 00:47:04,200 --> 00:47:06,960 Speaker 1: they understand how to at least from their state, handle 815 00:47:07,000 --> 00:47:10,120 Speaker 1: the pandemic, who has a bit of humanity to them. 816 00:47:10,320 --> 00:47:13,839 Speaker 1: And also credit to the administration for saying for like 817 00:47:13,880 --> 00:47:17,600 Speaker 1: basically putting the front of mind inclusion of trans people 818 00:47:17,640 --> 00:47:21,279 Speaker 1: as a matter of health policy. UM. Those are all 819 00:47:21,360 --> 00:47:25,160 Speaker 1: like very very great things. And yeah, and it couldn't 820 00:47:25,160 --> 00:47:27,080 Speaker 1: come at a better time because their states, like you know, 821 00:47:27,400 --> 00:47:30,440 Speaker 1: Montana and Idaho that are trying to pass all kinds 822 00:47:30,440 --> 00:47:33,720 Speaker 1: of fucked up bills targeting trans kids, whether it's keeping 823 00:47:33,760 --> 00:47:37,840 Speaker 1: kids from participating in sports or you know, denying access 824 00:47:37,880 --> 00:47:41,400 Speaker 1: to like hormone therapies and things like that. It's it's 825 00:47:41,440 --> 00:47:43,960 Speaker 1: it's good to see that at a federal level that 826 00:47:44,080 --> 00:47:46,440 Speaker 1: we are you know, we're positioning people that can do 827 00:47:46,960 --> 00:47:49,799 Speaker 1: to do right by all people. So yeah, yeah, she 828 00:47:49,840 --> 00:47:52,520 Speaker 1: sounds great and also just it seems like they're going to. 829 00:47:52,600 --> 00:47:54,399 Speaker 1: I mean, I feel like on the left and all 830 00:47:54,400 --> 00:47:56,520 Speaker 1: the podcast, we do like we're all very aware mental 831 00:47:56,560 --> 00:47:58,520 Speaker 1: health is a big part of just health, but I 832 00:47:58,560 --> 00:48:02,600 Speaker 1: think as a nation we haven't necessarily like reconciled that. 833 00:48:02,680 --> 00:48:05,279 Speaker 1: And I think based on her experience, like you know, 834 00:48:05,280 --> 00:48:08,000 Speaker 1: working with teenagers with UM disorders and things like that, 835 00:48:08,040 --> 00:48:10,040 Speaker 1: a lot of it's tied into mental health. So I 836 00:48:10,080 --> 00:48:12,279 Speaker 1: feel hopeful that there's going to be a lot more 837 00:48:12,320 --> 00:48:16,239 Speaker 1: reform and attention put on UM, just like wellness in 838 00:48:16,320 --> 00:48:19,840 Speaker 1: holistic sense and not just on like like pharma and 839 00:48:19,880 --> 00:48:22,799 Speaker 1: body and that sort of thing. Right, Yeah, And you know, 840 00:48:22,840 --> 00:48:25,799 Speaker 1: when you think of right now who is currently in 841 00:48:25,840 --> 00:48:29,160 Speaker 1: that position of assistant secretary. I just put a picture 842 00:48:29,160 --> 00:48:31,520 Speaker 1: there because I'm like, I'm glad to see Dr Rachel 843 00:48:31,600 --> 00:48:36,680 Speaker 1: Levine there, because right now we have admirable who looks 844 00:48:36,840 --> 00:48:41,160 Speaker 1: like a fucking algorithm of like a dude you would 845 00:48:41,160 --> 00:48:43,680 Speaker 1: be afraid to tell anything. I think he's cried in 846 00:48:43,719 --> 00:48:45,319 Speaker 1: like five years. I don't think you should be able 847 00:48:45,320 --> 00:48:47,160 Speaker 1: to be a board of any health thing if you 848 00:48:47,680 --> 00:48:50,720 Speaker 1: can't cry and be in touch with your own no emotion. 849 00:48:50,920 --> 00:48:53,879 Speaker 1: This man's photo, I just implore the ze. Getting checked 850 00:48:53,880 --> 00:48:56,200 Speaker 1: the photo of this man, and just look at this photo. 851 00:48:56,320 --> 00:48:58,920 Speaker 1: It looks like a kind of a doctor who would say, 852 00:48:58,920 --> 00:49:04,200 Speaker 1: why are you crying now? Looks like constantly and that's 853 00:49:04,200 --> 00:49:08,560 Speaker 1: why his eyes are like that. He's like his eyebrows 854 00:49:08,600 --> 00:49:13,000 Speaker 1: cocked in the photo like he's already not compassionate about 855 00:49:12,600 --> 00:49:19,399 Speaker 1: he doesn't so what's wrong with you? Yeah, get back 856 00:49:19,400 --> 00:49:22,400 Speaker 1: out their soldier. Yeah, I mean he looks like a 857 00:49:22,480 --> 00:49:27,520 Speaker 1: character from American Dead, like the just Super. Everybody's a 858 00:49:27,520 --> 00:49:32,480 Speaker 1: fan of American Dad, right, yeah, but he just like Super. 859 00:49:32,760 --> 00:49:36,160 Speaker 1: I don't know, old school military, Like this picture could 860 00:49:36,200 --> 00:49:40,280 Speaker 1: be from the nineteen fifties if if the quality wasn't higher. Yeah, 861 00:49:40,400 --> 00:49:42,000 Speaker 1: and I mean look at this guy like he had 862 00:49:42,160 --> 00:49:43,920 Speaker 1: he has bona fides and things like that. But you know, 863 00:49:43,960 --> 00:49:47,880 Speaker 1: what's it's just nice to see someone who it looks 864 00:49:48,040 --> 00:49:51,399 Speaker 1: like the country like, looks like a person yeah, who 865 00:49:51,480 --> 00:49:54,520 Speaker 1: is not you know, who's just made it their their 866 00:49:54,600 --> 00:49:58,080 Speaker 1: goal to just do right um through their profession and 867 00:49:58,080 --> 00:50:00,640 Speaker 1: then yeah, look what you do, it's a good job. 868 00:50:00,680 --> 00:50:02,839 Speaker 1: It elevates you to the point where you know someone 869 00:50:02,880 --> 00:50:06,160 Speaker 1: in leadership wants you to have a huge role. So yeah, 870 00:50:07,040 --> 00:50:11,400 Speaker 1: I've read people who I haven't read all of Biden's 871 00:50:11,480 --> 00:50:16,919 Speaker 1: like plan for attacking the pandemic, but people who have 872 00:50:16,960 --> 00:50:19,640 Speaker 1: read it who are like kind of up on how 873 00:50:19,719 --> 00:50:24,840 Speaker 1: policy work are describing it on Twitter as like infuriating Lee, 874 00:50:25,000 --> 00:50:28,719 Speaker 1: like basic, it's just like all these things that it's 875 00:50:28,760 --> 00:50:31,399 Speaker 1: obvious we should have been doing from day one, that 876 00:50:31,800 --> 00:50:34,440 Speaker 1: just we're not getting done. My mom just got got 877 00:50:34,440 --> 00:50:36,520 Speaker 1: back from Taiwan and she said they didn't even take 878 00:50:36,520 --> 00:50:40,480 Speaker 1: her temperature at the airport. Oh really yeah, I mean 879 00:50:40,880 --> 00:50:43,480 Speaker 1: like coming back to l A, like the Bay Area, 880 00:50:43,600 --> 00:50:45,960 Speaker 1: but like she had to be there for months because 881 00:50:45,960 --> 00:50:48,480 Speaker 1: they have to be quarantined for fourteen days in your 882 00:50:48,560 --> 00:50:50,520 Speaker 1: room and then thirty days before you can like be 883 00:50:50,600 --> 00:50:52,880 Speaker 1: out on crowds and stuff. And then she was like, no, wonder, 884 00:50:53,160 --> 00:50:56,040 Speaker 1: it's really bad here. They aren't even trying, Like they 885 00:50:56,160 --> 00:51:00,440 Speaker 1: literally are not even trying. Come on in, and Tiger, 886 00:51:00,680 --> 00:51:04,480 Speaker 1: we're at a mask lest club party in Miami. H Well, 887 00:51:04,480 --> 00:51:06,200 Speaker 1: you know what it is is nobody could be worse. 888 00:51:06,320 --> 00:51:09,080 Speaker 1: Coming in. They're almost like please come in with your antibodies, 889 00:51:09,120 --> 00:51:11,080 Speaker 1: like the US is the worst right now, like everyone 890 00:51:11,200 --> 00:51:14,920 Speaker 1: come in, like bring your vaccines with you, right right, right, yes, yes, 891 00:51:15,239 --> 00:51:19,520 Speaker 1: come in, Yes, hired immunity. That's not how it works. 892 00:51:19,560 --> 00:51:25,520 Speaker 1: I don't care. Just a heads up for our listeners. 893 00:51:26,280 --> 00:51:29,080 Speaker 1: A couple less things. First of all, if you want 894 00:51:29,120 --> 00:51:33,520 Speaker 1: to get your my pillows at Poles or bed bath 895 00:51:33,640 --> 00:51:36,640 Speaker 1: and beyond, you're gonna have to go fat move pretty 896 00:51:36,680 --> 00:51:41,840 Speaker 1: fast because the free markets doing its work. That's what 897 00:51:42,040 --> 00:51:45,759 Speaker 1: That's what the right wing economists are always telling us, 898 00:51:45,840 --> 00:51:47,920 Speaker 1: you know, just leave it to the free market. Well 899 00:51:47,960 --> 00:51:51,359 Speaker 1: that's what's happening. Right Wing people who believe in the 900 00:51:51,400 --> 00:51:56,880 Speaker 1: free market unequivocally are calling this censorship. But it's really 901 00:51:56,920 --> 00:52:01,120 Speaker 1: just you know, the stink of their moral bankruptcy and 902 00:52:01,400 --> 00:52:05,080 Speaker 1: over white supremacy. And you know the same thing you'll 903 00:52:05,120 --> 00:52:08,040 Speaker 1: say when you're like, I'll never buy Cure rig or Nike, 904 00:52:08,320 --> 00:52:10,840 Speaker 1: you're saying you won't do that because you're gonna speak 905 00:52:10,840 --> 00:52:14,239 Speaker 1: with your dollars and then hopefully that will signal to 906 00:52:14,280 --> 00:52:17,600 Speaker 1: the company when the dollars migrate, that they need to 907 00:52:17,640 --> 00:52:21,439 Speaker 1: get right. But but you don't like it when most 908 00:52:21,480 --> 00:52:23,600 Speaker 1: people are like, oh, we're against all this ship you'll 909 00:52:23,800 --> 00:52:26,920 Speaker 1: love um, and when you know the thing is it 910 00:52:27,040 --> 00:52:29,000 Speaker 1: is affecting their business, like, yeah, we can't have this 911 00:52:29,120 --> 00:52:31,440 Speaker 1: in here because we need to make money. Suck your feelings. 912 00:52:31,440 --> 00:52:33,960 Speaker 1: We make money here. It's almost like the bad people 913 00:52:34,440 --> 00:52:40,719 Speaker 1: are just still alight until the end. So this is 914 00:52:40,760 --> 00:52:44,520 Speaker 1: in response to my Pillow CEO Mike Lindell going to 915 00:52:44,640 --> 00:52:48,279 Speaker 1: visit with the President having a plan for you know, 916 00:52:48,400 --> 00:52:53,320 Speaker 1: fascist overthrow of the government like and in his hands. 917 00:52:53,360 --> 00:52:55,160 Speaker 1: Like That's how we found out is he had like 918 00:52:55,200 --> 00:53:00,600 Speaker 1: big notes for it and on the right side Broadcasting Network. Uh. 919 00:53:00,680 --> 00:53:03,480 Speaker 1: He was interviewed and said, I just got off the 920 00:53:03,520 --> 00:53:06,680 Speaker 1: phone with Bed Bath and Beyond. They're dropping my Pillow. 921 00:53:07,080 --> 00:53:10,439 Speaker 1: Just got off the phone not five minutes ago. Coals, 922 00:53:10,480 --> 00:53:14,200 Speaker 1: all these different places, these companies, they're scared, Like a 923 00:53:14,239 --> 00:53:17,520 Speaker 1: Bed Bath and Beyond they're scared. They were good partners. 924 00:53:17,600 --> 00:53:20,480 Speaker 1: In fact, I told them, you guys come back anytime 925 00:53:20,520 --> 00:53:24,359 Speaker 1: you want. How gracious of him. I know, I just 926 00:53:24,480 --> 00:53:27,520 Speaker 1: loved it. He thinks it's like they'll they'll figure it out. 927 00:53:27,520 --> 00:53:29,040 Speaker 1: So he's like, you didn't break up with me. I 928 00:53:29,080 --> 00:53:32,120 Speaker 1: broke up with you, but I'll take you back when 929 00:53:32,120 --> 00:53:39,719 Speaker 1: you decide. Uh um yeah, good good, good for good 930 00:53:39,760 --> 00:53:44,279 Speaker 1: for Coals and Bed Bathroom Beyond. Only getting there now right, 931 00:53:44,520 --> 00:53:46,680 Speaker 1: You guys can make pillows at home. They're really easy. 932 00:53:46,680 --> 00:53:48,399 Speaker 1: It's literally the first thing you learned to sow when 933 00:53:48,400 --> 00:53:51,799 Speaker 1: you learn how. So it's too squares, Okay, you don't, 934 00:53:51,840 --> 00:53:54,360 Speaker 1: there's my pillow. Go. It's like he obviously isn't passionate 935 00:53:54,360 --> 00:53:57,480 Speaker 1: about pillows. He's kind of make a big deal. Give 936 00:53:57,800 --> 00:54:00,239 Speaker 1: he just has a business that he's like pillows. You 937 00:54:00,320 --> 00:54:02,920 Speaker 1: take a hoodie, you take the hoodie, you tie up 938 00:54:02,960 --> 00:54:05,200 Speaker 1: the drawstrings at the top of the hoodie and lupus 939 00:54:05,200 --> 00:54:07,200 Speaker 1: so the hood is closed. Then you tie knots on 940 00:54:07,239 --> 00:54:08,960 Speaker 1: the arm sleeves and then at the and then you 941 00:54:09,120 --> 00:54:12,120 Speaker 1: stuff it with jeans and then you tie the bottom. 942 00:54:12,200 --> 00:54:15,879 Speaker 1: And that's the first pillow I ever used. Pants worked 943 00:54:15,920 --> 00:54:19,000 Speaker 1: really well because you got like the double So it's 944 00:54:19,120 --> 00:54:21,920 Speaker 1: very easy, easy to manipulate. If you stuff them with 945 00:54:21,960 --> 00:54:24,160 Speaker 1: like T shirts or something you can. I'm gonna have 946 00:54:24,200 --> 00:54:26,920 Speaker 1: to talk to both of your your partners and just 947 00:54:26,960 --> 00:54:30,439 Speaker 1: make sure they're doing okay, because make sure that the house. 948 00:54:33,160 --> 00:54:35,360 Speaker 1: She said you can sleep with your quote unquote pillow 949 00:54:35,480 --> 00:54:38,080 Speaker 1: in the garage, and I was like, well, then I 950 00:54:38,120 --> 00:54:42,000 Speaker 1: guess me and my pillow will be in the garage 951 00:54:42,040 --> 00:54:48,880 Speaker 1: if I know where all the sweatpants are Teresa. Um, 952 00:54:48,960 --> 00:54:54,799 Speaker 1: yeah that if I don't have hair, riddle me that. 953 00:54:56,480 --> 00:55:03,279 Speaker 1: I was like, you're a problem. I of her stops assumed. Uh. 954 00:55:03,320 --> 00:55:07,920 Speaker 1: And as we say goodbye to the former first family, Uh, 955 00:55:08,160 --> 00:55:11,520 Speaker 1: someone who I feel like we haven't paid as much 956 00:55:11,520 --> 00:55:15,759 Speaker 1: attention to. Still probably way too much attention to. But 957 00:55:15,920 --> 00:55:21,919 Speaker 1: Tiffany Trump seems like she is she understands what what's 958 00:55:21,960 --> 00:55:26,360 Speaker 1: happening and real quickly got some got some snaps in 959 00:55:27,120 --> 00:55:32,560 Speaker 1: for the Graham. Uh. Engagement photos. She got engaged. It's 960 00:55:32,600 --> 00:55:34,920 Speaker 1: nice to see, you know, she knows. Okay, how much 961 00:55:34,920 --> 00:55:36,920 Speaker 1: time do we have. She's like, Michael, we have to 962 00:55:37,080 --> 00:55:39,680 Speaker 1: Apparently we actually have to fucking be out Tuesday night. 963 00:55:39,719 --> 00:55:41,840 Speaker 1: It's not even Wednesday morning. So we didn't take this 964 00:55:42,120 --> 00:55:44,840 Speaker 1: photo now or if you're gonna, if we're gonna get engaged, 965 00:55:45,120 --> 00:55:49,480 Speaker 1: to be soon. So they got engaged. It looks like 966 00:55:49,520 --> 00:55:52,759 Speaker 1: a like a log school graduation. Yeah, they're both in. 967 00:55:52,880 --> 00:55:56,000 Speaker 1: She's wearing black, he's wearing black. It's not a I 968 00:55:56,000 --> 00:55:58,360 Speaker 1: don't think it's look. I'm gonna take a look. This 969 00:55:58,440 --> 00:55:59,560 Speaker 1: might be a hot take. I don't think this is 970 00:55:59,560 --> 00:56:03,719 Speaker 1: the engagement photo she wanted. It feels very rushed. Um, 971 00:56:03,760 --> 00:56:05,520 Speaker 1: it doesn't. I feel like there are a lot cooler 972 00:56:05,560 --> 00:56:08,080 Speaker 1: places to take photos that indicate you're at the White 973 00:56:08,080 --> 00:56:10,600 Speaker 1: House than sort of like even it's not even an 974 00:56:10,760 --> 00:56:12,680 Speaker 1: iconic part of the White House. I mean, it's like 975 00:56:12,760 --> 00:56:16,160 Speaker 1: that one spot, right, it's like I think where you 976 00:56:16,200 --> 00:56:18,160 Speaker 1: go from the press to like the West Wing or 977 00:56:18,160 --> 00:56:20,000 Speaker 1: something like, it's always like the spot where you see 978 00:56:20,160 --> 00:56:22,880 Speaker 1: like walking the walk and talk. I was just gonna 979 00:56:22,880 --> 00:56:27,759 Speaker 1: say that specifically. Yeah, but you have to know, right 980 00:56:27,760 --> 00:56:30,239 Speaker 1: because like, look, if I'm there, I wanted to be 981 00:56:30,280 --> 00:56:34,000 Speaker 1: like literally like on the lawn and I'm up the 982 00:56:34,000 --> 00:56:36,160 Speaker 1: White House, you know what I mean, not like this 983 00:56:36,200 --> 00:56:40,239 Speaker 1: subtle ship. So she's with Michael Bulos, who's her fiancee 984 00:56:40,920 --> 00:56:42,919 Speaker 1: who popped the question. I don't know if I don't 985 00:56:42,920 --> 00:56:46,720 Speaker 1: know if it was, you know, a rushed engagement because 986 00:56:46,800 --> 00:56:49,360 Speaker 1: the time was taking on this photo. But he's in 987 00:56:49,400 --> 00:56:52,880 Speaker 1: a quote unquote executive at his dad's company. But I 988 00:56:52,920 --> 00:56:55,879 Speaker 1: just want to say the most important detail here is that, 989 00:56:56,719 --> 00:57:02,160 Speaker 1: oh absolutely is that tiff and Mikey. They met in Greece. Okay, 990 00:57:02,200 --> 00:57:06,560 Speaker 1: when Tiffany was spending time with her bff and international 991 00:57:06,640 --> 00:57:13,200 Speaker 1: Woman of Mystery Lindsay Lohan. So get it what you're 992 00:57:13,840 --> 00:57:19,480 Speaker 1: mis island. At least Tiffany, like I know, she was 993 00:57:19,520 --> 00:57:22,360 Speaker 1: like kind of a punchline for a lot of the presidency, 994 00:57:22,400 --> 00:57:24,520 Speaker 1: but at the very least like she did stay out 995 00:57:24,520 --> 00:57:27,000 Speaker 1: of it. With Ivanka, like I feel like right from 996 00:57:27,000 --> 00:57:29,080 Speaker 1: the start, it was almost in a way kind of 997 00:57:29,120 --> 00:57:31,400 Speaker 1: reverse or it was sexist where people were like, she'll 998 00:57:31,440 --> 00:57:33,919 Speaker 1: save us, Like Ivanka has never done anything or said 999 00:57:33,920 --> 00:57:36,240 Speaker 1: anything to make us think she's weak. She's actually much 1000 00:57:36,280 --> 00:57:39,160 Speaker 1: scarier because she's more palatable to look at, and she 1001 00:57:39,640 --> 00:57:42,360 Speaker 1: is very much behind her dad, like she's never but 1002 00:57:42,440 --> 00:57:44,320 Speaker 1: yet from the beginning, we're like, she'll save us, Like 1003 00:57:44,880 --> 00:57:48,600 Speaker 1: why why did we ever think that? Maybe Tiffany, because 1004 00:57:48,600 --> 00:57:51,600 Speaker 1: Tiffani maybe doesn't want to be there. But Ivanka seems 1005 00:57:51,640 --> 00:57:54,080 Speaker 1: like she she might run, you know, like she can 1006 00:57:54,560 --> 00:57:56,919 Speaker 1: she can iterate on the dumb ship that her dad 1007 00:57:56,960 --> 00:58:01,280 Speaker 1: did and maybe you mean like a less threatening because 1008 00:58:01,320 --> 00:58:04,200 Speaker 1: she's a woman. To sexist actually makes her more dangerous, 1009 00:58:04,400 --> 00:58:06,080 Speaker 1: which the other thing I think she might run, So 1010 00:58:06,160 --> 00:58:09,240 Speaker 1: let's not let that happen. We'll see, we'll see how 1011 00:58:09,240 --> 00:58:11,120 Speaker 1: toxic that name is or it's just that thing where 1012 00:58:11,160 --> 00:58:15,080 Speaker 1: it's like we get that text, well, and we're like, 1013 00:58:15,200 --> 00:58:19,360 Speaker 1: funck do we Maybe she's different than her dad, but 1014 00:58:20,800 --> 00:58:22,960 Speaker 1: that Tiffany may have just been smarter, you know what 1015 00:58:23,000 --> 00:58:24,360 Speaker 1: I mean, Like she was she was like I'm gonna 1016 00:58:24,400 --> 00:58:26,680 Speaker 1: go to law school. I'm just talk ship like because 1017 00:58:26,720 --> 00:58:29,840 Speaker 1: all the stories were privately she would flame her fucking 1018 00:58:29,880 --> 00:58:32,720 Speaker 1: family and then like but then be at the events, 1019 00:58:32,840 --> 00:58:34,840 Speaker 1: you know, because she whatever has to be. But I 1020 00:58:34,880 --> 00:58:37,040 Speaker 1: don't know if she's just saying that, you know, because 1021 00:58:37,040 --> 00:58:40,560 Speaker 1: she's sort of deaf at maneuvering, you know, social settings, 1022 00:58:41,040 --> 00:58:44,560 Speaker 1: but you know much uh, you know, much success to 1023 00:58:44,720 --> 00:58:47,680 Speaker 1: the newly engaged couple. And I hope, I hope Lindsay 1024 00:58:47,680 --> 00:58:52,600 Speaker 1: Lohan is the efficient at the wedding. Yeah, absolutely, mind 1025 00:58:53,760 --> 00:59:02,000 Speaker 1: right right? Who who's the Republican politician? Who is it? 1026 00:59:02,080 --> 00:59:05,880 Speaker 1: Matt Gets who is really into Tiffany and was like 1027 00:59:06,520 --> 00:59:11,320 Speaker 1: loving her photos and being like absolute stunning. Tiffany is 1028 00:59:11,440 --> 00:59:15,760 Speaker 1: so hot. Thatt Case is the one that's like, yeah 1029 00:59:15,800 --> 00:59:18,160 Speaker 1: he was him and Jim Jordan during the tech hearing 1030 00:59:18,400 --> 00:59:21,680 Speaker 1: where like the most ridiculous like saying the stupidest que 1031 00:59:21,760 --> 00:59:25,040 Speaker 1: and on stuff. Yeah, they're always I don't know what 1032 00:59:25,360 --> 00:59:29,480 Speaker 1: we'll hopefully this part of you wants him to like 1033 00:59:29,560 --> 00:59:32,120 Speaker 1: be smarter, even though that's discrimination. I'm sorry, But like 1034 00:59:32,160 --> 00:59:34,520 Speaker 1: with the older guys, like there's a tradition to it. 1035 00:59:34,520 --> 00:59:36,080 Speaker 1: It's like we know you don't think this, But the 1036 00:59:36,120 --> 00:59:38,400 Speaker 1: younger ones, I'm like, you could change things. Why are 1037 00:59:38,400 --> 00:59:40,120 Speaker 1: you doing this? Yeah? But if you you know. But 1038 00:59:40,120 --> 00:59:42,680 Speaker 1: it's like anything when people grow up idolizing a dumb 1039 00:59:43,080 --> 00:59:45,800 Speaker 1: person like you should know better. It's like, oh, but 1040 00:59:46,000 --> 00:59:50,360 Speaker 1: you grew up idolizing Louie Gomert. Okay, no wonder, I 1041 00:59:50,400 --> 00:59:53,000 Speaker 1: would like to be that dumb person for children to idolize. 1042 00:59:53,040 --> 00:59:55,919 Speaker 1: One day we can be. Don't worry when you when 1043 00:59:55,920 --> 01:00:00,439 Speaker 1: you do that, whole children's book equals MC squared. There 1044 01:00:00,440 --> 01:00:03,760 Speaker 1: you go. This does kind of tie in with just 1045 01:00:03,800 --> 01:00:06,080 Speaker 1: the overall question of what McConnell is going to do, 1046 01:00:06,200 --> 01:00:09,240 Speaker 1: because if he does ultimately, you know, vote to convict 1047 01:00:09,280 --> 01:00:13,480 Speaker 1: and gets the two thirds in the Senate, I feel 1048 01:00:13,520 --> 01:00:18,000 Speaker 1: like then the question immediately becomes which Trump child is 1049 01:00:18,040 --> 01:00:23,240 Speaker 1: going to run for president? And probably and it would 1050 01:00:23,240 --> 01:00:28,520 Speaker 1: be between Don Junior and Avanka um or is there 1051 01:00:28,520 --> 01:00:31,120 Speaker 1: a calculus like don't do that? Like, okay, if you're 1052 01:00:31,160 --> 01:00:34,320 Speaker 1: super if you're playing you know, ship head machiavellian chest 1053 01:00:34,400 --> 01:00:38,200 Speaker 1: with Mitch McConnell. Uh is it that you leave him there? 1054 01:00:38,640 --> 01:00:42,320 Speaker 1: You don't you also vote to not impeach him, So 1055 01:00:42,400 --> 01:00:44,800 Speaker 1: the party's like, okay, man, Mitch, Mitch has figured it 1056 01:00:44,800 --> 01:00:48,520 Speaker 1: out to know if I this idiot will think he 1057 01:00:48,520 --> 01:00:51,520 Speaker 1: can run in four years, fuck that he ain't gonna suck. 1058 01:00:51,720 --> 01:00:54,160 Speaker 1: Even if he tries. We we know this time, we'll 1059 01:00:54,480 --> 01:00:56,560 Speaker 1: believe will club his ass the funk out of here. 1060 01:00:56,680 --> 01:00:59,000 Speaker 1: He won't even know what fucking hit him. Well, we'll 1061 01:00:59,000 --> 01:01:01,000 Speaker 1: do everything we can this time to stop him. If 1062 01:01:01,040 --> 01:01:03,280 Speaker 1: even has it, like if they feel that they're they're 1063 01:01:03,320 --> 01:01:06,560 Speaker 1: down to face of Trump in four years type person, 1064 01:01:06,800 --> 01:01:10,200 Speaker 1: versus cleaving him from the party, giving all this energy 1065 01:01:10,240 --> 01:01:12,880 Speaker 1: to the Trump name just to march out a kid. 1066 01:01:13,040 --> 01:01:16,240 Speaker 1: And now they're contending with like an angry party that 1067 01:01:16,320 --> 01:01:18,920 Speaker 1: they piste off from holding him accountable, and now they 1068 01:01:18,920 --> 01:01:21,200 Speaker 1: don't know how to crangle that. I don't know, it's 1069 01:01:21,240 --> 01:01:24,760 Speaker 1: all U problem. I care not to be in. But 1070 01:01:25,560 --> 01:01:27,480 Speaker 1: I think they're still playing too much in the future. 1071 01:01:27,520 --> 01:01:29,160 Speaker 1: I mean, like the reality is what we've got to 1072 01:01:29,160 --> 01:01:31,560 Speaker 1: get back to the truth, right, Like they're still trying to, 1073 01:01:31,600 --> 01:01:34,120 Speaker 1: like you said, playing chess instead of just going, this 1074 01:01:34,160 --> 01:01:35,960 Speaker 1: is the thing that you do now, because we kept 1075 01:01:36,200 --> 01:01:38,640 Speaker 1: putting snooze on like panic, and then it was like 1076 01:01:39,040 --> 01:01:41,240 Speaker 1: people almost can't panic anymore because like I don't know, 1077 01:01:41,280 --> 01:01:44,040 Speaker 1: I'm um, but just get rid of him and then 1078 01:01:44,080 --> 01:01:45,840 Speaker 1: if all that stuff happens and it comes back and 1079 01:01:45,880 --> 01:01:47,440 Speaker 1: then we deal with it. We if we are like 1080 01:01:47,520 --> 01:01:50,680 Speaker 1: constantly like playing this game, then we're just giving him 1081 01:01:50,680 --> 01:01:53,240 Speaker 1: more and more space to do whatever whatever he wants. 1082 01:01:54,800 --> 01:01:57,959 Speaker 1: Stop thinking about it, let him fade away, you know. Yeah. 1083 01:01:58,520 --> 01:02:01,800 Speaker 1: The other thing is, like to your point, even all 1084 01:02:01,840 --> 01:02:05,840 Speaker 1: of the triangulating and calculations and things like that, they 1085 01:02:06,040 --> 01:02:09,920 Speaker 1: pale in comparison to just addressing problems directly, you know. 1086 01:02:10,080 --> 01:02:12,320 Speaker 1: For even for people like the Republicans, they came in 1087 01:02:12,440 --> 01:02:15,680 Speaker 1: like yo Joe Biden and going far enough to like 1088 01:02:15,760 --> 01:02:19,880 Speaker 1: help the people of like my constituency, Like that's gonna 1089 01:02:20,000 --> 01:02:22,560 Speaker 1: that's gonna pull well, even if people are like, yeah, 1090 01:02:22,560 --> 01:02:24,920 Speaker 1: but you're a trumper, like because objectively that's like a 1091 01:02:24,960 --> 01:02:28,320 Speaker 1: better sentiment to have, but they're so they're so over 1092 01:02:28,400 --> 01:02:31,200 Speaker 1: leveraged in white supremacy and oppression that they have to 1093 01:02:31,240 --> 01:02:33,520 Speaker 1: just go funck man, how are we gonna sunk around 1094 01:02:33,520 --> 01:02:35,480 Speaker 1: this time because we can't just suddenly be all like 1095 01:02:35,560 --> 01:02:38,920 Speaker 1: humane and ship and actually build a coalition of support 1096 01:02:39,120 --> 01:02:42,000 Speaker 1: like so, but they could in a way where it 1097 01:02:42,000 --> 01:02:43,600 Speaker 1: would be dangerous because all they have to do is 1098 01:02:43,640 --> 01:02:46,000 Speaker 1: do one thing that's out of the ordinary. Will be like, oh, 1099 01:02:46,040 --> 01:02:48,280 Speaker 1: we like you again, we trust them. Like imagine if 1100 01:02:48,280 --> 01:02:51,280 Speaker 1: the Republican Party suddenly changed its view on immigration but 1101 01:02:51,360 --> 01:02:54,479 Speaker 1: nothing else, like abortion, nothing else. I think they would 1102 01:02:54,480 --> 01:02:56,600 Speaker 1: win over a lot of people. It's almost kind of scary. 1103 01:02:57,280 --> 01:03:01,360 Speaker 1: The Democrats have mastered that, so it'll be hard on 1104 01:03:01,400 --> 01:03:05,880 Speaker 1: the shade the shade. Sorry, Teresa, It's been a pleasure 1105 01:03:05,880 --> 01:03:09,320 Speaker 1: as always having you. Where can people find you and 1106 01:03:09,520 --> 01:03:13,160 Speaker 1: follow you? Um, you can follow me at Larissa t 1107 01:03:13,360 --> 01:03:15,440 Speaker 1: online and I am Selly Valenine, so if you want. 1108 01:03:15,480 --> 01:03:17,840 Speaker 1: They're kind of like cheeky. They're all based on jokes 1109 01:03:17,840 --> 01:03:20,480 Speaker 1: I've written. So it's on my website Tweetie comedy dot 1110 01:03:20,520 --> 01:03:22,480 Speaker 1: com slash shop. I'm sorry I'm not as funny because 1111 01:03:22,480 --> 01:03:23,760 Speaker 1: I haven't done stand it, but I did start in 1112 01:03:23,800 --> 01:03:26,240 Speaker 1: only fans for talking about the singularity and quantum So 1113 01:03:26,280 --> 01:03:29,760 Speaker 1: if you really do want to hear very unfunny, but 1114 01:03:29,840 --> 01:03:32,400 Speaker 1: like Teresa, thoughts like if you like that one video 1115 01:03:32,400 --> 01:03:35,280 Speaker 1: of me doing trooms on cracked, follow me on only thing. 1116 01:03:36,000 --> 01:03:41,560 Speaker 1: It's always slash. It's literally me talking about quantum in 1117 01:03:41,600 --> 01:03:44,280 Speaker 1: a way that makes sense to me, but it might 1118 01:03:44,280 --> 01:03:48,080 Speaker 1: just be entertaining for you guys. Oh yeah, uh And 1119 01:03:48,240 --> 01:03:50,520 Speaker 1: is there tweet or some of the work of social 1120 01:03:50,560 --> 01:03:54,200 Speaker 1: media you've been enjoying. Oh sure, this one made me 1121 01:03:54,280 --> 01:03:56,560 Speaker 1: laugh this morning. I don't know this person, It was 1122 01:03:56,600 --> 01:03:59,800 Speaker 1: just on my t l at Abby Manuel said one 1123 01:03:59,800 --> 01:04:02,040 Speaker 1: time the traitor Joe's cashier gave me a single rose 1124 01:04:02,080 --> 01:04:03,520 Speaker 1: for free, and I saw the same guy at a 1125 01:04:03,560 --> 01:04:05,360 Speaker 1: bar that weekend and was like, hey, you gave me 1126 01:04:05,400 --> 01:04:07,400 Speaker 1: a flower and he was like, I don't remember. They 1127 01:04:07,440 --> 01:04:11,040 Speaker 1: just tell us to do stuff like that. Oh, just 1128 01:04:11,800 --> 01:04:15,120 Speaker 1: you know, delighting the customer's Yeah, just a little story. 1129 01:04:15,200 --> 01:04:19,520 Speaker 1: They're kind of captured the you know, just life is 1130 01:04:19,560 --> 01:04:22,240 Speaker 1: like that. Have have a good day. But also it's 1131 01:04:22,280 --> 01:04:25,000 Speaker 1: fine if you don't and don't think too much. Okay, 1132 01:04:25,000 --> 01:04:29,160 Speaker 1: nobody's trying to help. Everything's about themselves. You know, Miles, 1133 01:04:29,160 --> 01:04:32,240 Speaker 1: where can people find you? What the tweet you've been enjoying? Oh? 1134 01:04:32,720 --> 01:04:39,240 Speaker 1: I Twitter, Instagram at Miles of Gray also Fance podcast 1135 01:04:39,280 --> 01:04:41,400 Speaker 1: for t fiance. Check that out if you want to 1136 01:04:41,400 --> 01:04:44,760 Speaker 1: talk or hear me talk that ship about ninety day. Uh. 1137 01:04:44,960 --> 01:04:47,640 Speaker 1: The tweets that I liked the first one, maybe I 1138 01:04:47,680 --> 01:04:49,280 Speaker 1: did this one. I don't know, but I'll say it again. 1139 01:04:49,560 --> 01:04:52,600 Speaker 1: I love it. It's from Foghorn respect or AT Sounds 1140 01:04:52,600 --> 01:04:56,320 Speaker 1: and Color. It's from last week but started off officer. 1141 01:04:57,080 --> 01:04:58,960 Speaker 1: Do you know this is so it's a dialogue between 1142 01:04:59,080 --> 01:05:01,880 Speaker 1: this person ops, officer, do you know how fast you 1143 01:05:01,880 --> 01:05:05,400 Speaker 1: were going? Me? Well, where were you the evening of January? 1144 01:05:07,720 --> 01:05:10,200 Speaker 1: Flipping on them? Uh? And then another one which is 1145 01:05:10,240 --> 01:05:13,680 Speaker 1: just very real, uh and fucked up. It's from AT. 1146 01:05:13,760 --> 01:05:17,760 Speaker 1: It's Push Push tweeting. Malls are open, but the morgues 1147 01:05:17,880 --> 01:05:24,000 Speaker 1: are full. Don't come to l a yep. Yeah yeah, 1148 01:05:24,280 --> 01:05:29,920 Speaker 1: Um it's bad. I mean that. That is the perfect 1149 01:05:30,960 --> 01:05:34,400 Speaker 1: example of how this country doesn't work. And TV production 1150 01:05:34,520 --> 01:05:40,960 Speaker 1: is essential, essential work. Um, okay, okay, and make the 1151 01:05:41,040 --> 01:05:45,000 Speaker 1: Super Bowl commercials. You know, chips won't sell themselves. Well, 1152 01:05:45,040 --> 01:05:47,080 Speaker 1: if we don't have a special episode to talk about 1153 01:05:47,080 --> 01:05:49,959 Speaker 1: the a f C Championship game, what what do we have? 1154 01:05:50,680 --> 01:05:57,360 Speaker 1: Thank you, thank you. Grace tweeted Daddy issues is so bizarre. 1155 01:05:57,400 --> 01:06:01,200 Speaker 1: Because the term itself literally implies men have done something wrong, 1156 01:06:01,600 --> 01:06:04,880 Speaker 1: but our world is so misogynistic it excuses men from 1157 01:06:04,880 --> 01:06:07,520 Speaker 1: taking any accountability for their actions and just shames of 1158 01:06:07,560 --> 01:06:15,280 Speaker 1: women instead. I thought was a very do you TikTok? Well? 1159 01:06:15,320 --> 01:06:19,880 Speaker 1: Is that TikTok serving me? That? Wait? Just do they 1160 01:06:19,960 --> 01:06:24,280 Speaker 1: have something that's about point about like just serving your 1161 01:06:24,320 --> 01:06:27,880 Speaker 1: subconscious back up to you? You know what I mean? That? Um, 1162 01:06:27,920 --> 01:06:31,360 Speaker 1: you can find you can find me on Twitter at 1163 01:06:31,400 --> 01:06:33,880 Speaker 1: Jack Underscore O'Brien. You can find us on Twitter at 1164 01:06:33,920 --> 01:06:37,240 Speaker 1: Daily Zichy. S. Were at the Daily Zekegeist on Instagram. 1165 01:06:37,240 --> 01:06:40,360 Speaker 1: We have Facebook fan page and website Daily zigeys dot 1166 01:06:40,400 --> 01:06:43,880 Speaker 1: com where we post our episodes and our foot nope 1167 01:06:44,440 --> 01:06:46,560 Speaker 1: where we link off to the information that we talked 1168 01:06:46,560 --> 01:06:49,720 Speaker 1: about in today's episode, as well as the song we 1169 01:06:49,920 --> 01:06:52,840 Speaker 1: ride out on Miles? What are we riding out on? Today? 1170 01:06:53,080 --> 01:06:56,880 Speaker 1: We're going to continue along the l Michael's affair journey. 1171 01:06:56,920 --> 01:06:59,080 Speaker 1: We've been going on that album that we talked about 1172 01:06:59,080 --> 01:07:02,760 Speaker 1: it that was so smooth. Um, you know, they they 1173 01:07:02,840 --> 01:07:06,320 Speaker 1: just they they're cold. Catalog is strong and there's a 1174 01:07:06,360 --> 01:07:10,160 Speaker 1: track um that they have with this artist Pa Malik, 1175 01:07:10,680 --> 01:07:14,000 Speaker 1: and they just they I don't know how else to 1176 01:07:14,040 --> 01:07:16,760 Speaker 1: describe it. It's L Michael's a fair being so nice 1177 01:07:17,040 --> 01:07:20,320 Speaker 1: on the instruments, and then PM Malik's vocals on here, 1178 01:07:20,440 --> 01:07:24,480 Speaker 1: very Bollywood, very funky. And it's called market gem or 1179 01:07:24,600 --> 01:07:27,840 Speaker 1: gem and I'm apologize if I completely butchered that pronunciation, 1180 01:07:27,840 --> 01:07:30,200 Speaker 1: but it's spelled m U r k I T and 1181 01:07:30,200 --> 01:07:33,120 Speaker 1: the next word is g e M. Check this out. 1182 01:07:33,400 --> 01:07:37,120 Speaker 1: It has wonderful vibes. It's very relaxing and funky. So 1183 01:07:37,400 --> 01:07:39,520 Speaker 1: you know, you know how I get down. I do 1184 01:07:39,680 --> 01:07:42,479 Speaker 1: know how you get down. Uh, We're gonna get down 1185 01:07:42,520 --> 01:07:45,880 Speaker 1: to that. The Daily zey geis that that sounded cool, red, 1186 01:07:46,040 --> 01:07:49,720 Speaker 1: that sounded young and relevant. The Daily zy Guys is 1187 01:07:49,760 --> 01:07:51,880 Speaker 1: a production of I Heart Radio for More podcast for 1188 01:07:51,960 --> 01:07:54,720 Speaker 1: my Heart Radio, visit the I Heart Radio app, Apple podcast, 1189 01:07:54,800 --> 01:07:57,400 Speaker 1: or wherever you listen to your favorite shows. That is 1190 01:07:57,520 --> 01:08:00,680 Speaker 1: gonna do it for this morning, We're bad this afternoon 1191 01:08:00,720 --> 01:08:02,440 Speaker 1: to tell you what's trending. We'll talk to you then 1192 01:08:02,480 --> 01:08:35,960 Speaker 1: bite