1 00:00:00,080 --> 00:00:03,320 Speaker 1: Hello the Internet, and welcome to Season one, twenty one, 2 00:00:03,320 --> 00:00:08,639 Speaker 1: Episode one of jo Daily Zy Guys production of Hiart Radio. 3 00:00:08,720 --> 00:00:10,320 Speaker 1: This is a podcast where we take a deep dive 4 00:00:10,320 --> 00:00:14,320 Speaker 1: into America's shared consciousness and say officially off the top 5 00:00:14,400 --> 00:00:18,400 Speaker 1: fun the Koch Brothers and Funk Fox News. Hey, fuck 6 00:00:18,480 --> 00:00:23,800 Speaker 1: you guys, It's Tuesday, February. My name's Jack O'Brien, a 7 00:00:23,920 --> 00:00:26,480 Speaker 1: K Potatoes O'Brien, and I'm sure to be joined as 8 00:00:26,520 --> 00:00:31,280 Speaker 1: always buy my co host, Mr Miles Miles Ray Kay. 9 00:00:33,520 --> 00:00:36,360 Speaker 1: Thanks for smoking weed with Miles Gray at the DC 10 00:00:36,520 --> 00:00:42,159 Speaker 1: Live Show. Live Show was such a fun time. Everything 11 00:00:42,200 --> 00:00:47,560 Speaker 1: was great. Badly the Drunken Zeke Gang after the show 12 00:00:47,720 --> 00:00:53,040 Speaker 1: killed it. It was all fantastic. One of the less 13 00:00:53,159 --> 00:00:56,080 Speaker 1: drums of all Well, you know, the difference was there 14 00:00:56,120 --> 00:00:58,440 Speaker 1: wasn't a liquor bing cerci. Okay, when you have an 15 00:00:58,480 --> 00:01:00,920 Speaker 1: ear and wine only you get here and wine vibes 16 00:01:00,920 --> 00:01:07,320 Speaker 1: are drinking bread, yeah exactly. Versus Brookland, Vietnam when you 17 00:01:07,680 --> 00:01:10,120 Speaker 1: when you turned up Brooklyn. Yeah, when you have like 18 00:01:10,360 --> 00:01:13,360 Speaker 1: liquor flying out of the side of the stage. Yeah, 19 00:01:13,400 --> 00:01:15,920 Speaker 1: you know, people start screaming. Yeah. It was a good time. 20 00:01:16,000 --> 00:01:20,080 Speaker 1: Both both shows were a blast. Yet. Uh. This spore 21 00:01:20,160 --> 00:01:24,720 Speaker 1: has been so fun and ongoing. We will be in 22 00:01:24,800 --> 00:01:28,920 Speaker 1: Minneapolis February point kits Parkway Theater with Pio. We will 23 00:01:29,000 --> 00:01:31,760 Speaker 1: be in Chicago a Sleeping Village with Danga Day and 24 00:01:31,840 --> 00:01:36,280 Speaker 1: Kirk on February seven. We will be in Toronto February, 25 00:01:37,560 --> 00:01:41,039 Speaker 1: close out the month, close out the floor at the 26 00:01:41,160 --> 00:01:45,160 Speaker 1: Great Hall with Drake. For tickets, go to Daily Zis 27 00:01:45,200 --> 00:01:47,240 Speaker 1: dot com and go to the Live appearances tab for 28 00:01:47,480 --> 00:01:51,280 Speaker 1: links to the ticket. We are thrilled to be joined 29 00:01:51,800 --> 00:01:57,200 Speaker 1: with the comedian and journalists who joined us on stage 30 00:01:57,280 --> 00:02:01,640 Speaker 1: in d C. She is the talented, the hilarious Natalie macguil. 31 00:02:02,360 --> 00:02:05,720 Speaker 1: What's up, Natalie, Thank you guys for having me for 32 00:02:05,800 --> 00:02:09,000 Speaker 1: being here. How are you? How are you feeling after 33 00:02:09,000 --> 00:02:11,880 Speaker 1: that show? Going pretty good after experiencing the whole of 34 00:02:12,000 --> 00:02:15,400 Speaker 1: the vibes. Yeah, that was That was awesome, just to 35 00:02:15,400 --> 00:02:17,680 Speaker 1: see like your whole like fan base come out, like 36 00:02:17,840 --> 00:02:24,880 Speaker 1: especially the du that joined us, like on stage. Oh yeah, Christie, 37 00:02:24,880 --> 00:02:27,880 Speaker 1: I'm a Gucci man came out. He was there. He 38 00:02:28,120 --> 00:02:32,360 Speaker 1: was the man, the myth, the legend in person in 39 00:02:32,440 --> 00:02:35,040 Speaker 1: the flesh. Yeah, now he needed met. Hannahs altis now 40 00:02:35,600 --> 00:02:37,959 Speaker 1: begin to really put the pieces together a k a. 41 00:02:38,160 --> 00:02:41,000 Speaker 1: Gods and Goddesses. But he came on stage, joined us, 42 00:02:41,040 --> 00:02:43,519 Speaker 1: played a little game. Uh, I feel like I was 43 00:02:43,600 --> 00:02:46,079 Speaker 1: not much help. Like he actually tweeted me after this 44 00:02:46,120 --> 00:02:47,799 Speaker 1: show and he was like, thanks for your help in 45 00:02:47,880 --> 00:02:49,480 Speaker 1: the game. I was like, I think I gave you 46 00:02:49,520 --> 00:02:57,440 Speaker 1: all of the wrong answers. Yeah, it was like crowd 47 00:02:57,480 --> 00:03:03,000 Speaker 1: did not help him a lot wrong. Shouted at him 48 00:03:03,080 --> 00:03:07,120 Speaker 1: like that was prices right. My favorite thing about these 49 00:03:07,160 --> 00:03:10,040 Speaker 1: live shows is all invite people who like kind of 50 00:03:10,080 --> 00:03:12,840 Speaker 1: listening to the show are friends with me. Uh, you know, 51 00:03:12,919 --> 00:03:15,959 Speaker 1: like just good friends who have lives going. I don't 52 00:03:15,760 --> 00:03:18,079 Speaker 1: don't expect everybody to listen to the show. And then 53 00:03:18,080 --> 00:03:21,400 Speaker 1: after like wow, like a lot of people came home. 54 00:03:22,480 --> 00:03:25,160 Speaker 1: It's weird for people. It was. I mean, it's weird 55 00:03:25,280 --> 00:03:28,519 Speaker 1: for us to like see our fans very weird because yeah, 56 00:03:28,680 --> 00:03:31,160 Speaker 1: like we you know, we do this and that we're 57 00:03:31,160 --> 00:03:35,480 Speaker 1: in a hotel room right now with four people, five people, 58 00:03:35,600 --> 00:03:40,520 Speaker 1: four people, and yeah we were I can't tell you, 59 00:03:40,680 --> 00:03:42,960 Speaker 1: but there's there's I'm just gonna pop out behind you 60 00:03:43,360 --> 00:03:46,160 Speaker 1: in the middle of the show. But yeah, so it's 61 00:03:46,240 --> 00:03:49,480 Speaker 1: it's super cool to meet all you guys in person. 62 00:03:50,120 --> 00:03:54,800 Speaker 1: But yeah, it's also cool to surprise, Like my sister 63 00:03:54,880 --> 00:03:57,800 Speaker 1: in law was in the shows. But and she literally 64 00:03:57,880 --> 00:04:00,680 Speaker 1: said to one of our fans she was listen. Yeah, 65 00:04:00,720 --> 00:04:03,520 Speaker 1: one of the listeners. She turned around and was like, wait, 66 00:04:03,520 --> 00:04:06,360 Speaker 1: do you know who these guys are? Like you know them? 67 00:04:06,400 --> 00:04:09,680 Speaker 1: Like if you you intention like you're you just just 68 00:04:09,720 --> 00:04:17,240 Speaker 1: wandering on the street. Shout out to Becky Leeve. Though. 69 00:04:17,400 --> 00:04:22,080 Speaker 1: It's always good to impress the in laws. Uh, and yeah, 70 00:04:22,120 --> 00:04:25,800 Speaker 1: thank you guys for for coming out. Uh, Natalie, We're 71 00:04:25,800 --> 00:04:27,240 Speaker 1: gonna get to know you a little bit better in 72 00:04:27,279 --> 00:04:29,280 Speaker 1: a moment. First, we're gonna tell our listeners a couple 73 00:04:29,279 --> 00:04:32,360 Speaker 1: of things we're talking about. Uh. We're gonna talk about 74 00:04:32,400 --> 00:04:36,600 Speaker 1: James Carvill and Bernie Sanders, just the overall war of words. 75 00:04:37,279 --> 00:04:41,479 Speaker 1: We're gonna talk about some of the wrongheads rolling from 76 00:04:41,640 --> 00:04:46,000 Speaker 1: the Iowa funk Up. We're gonna talk about Trump's hightest 77 00:04:46,560 --> 00:04:51,240 Speaker 1: attacks on short King, Mike Bloomberg. We're gonna talk about 78 00:04:51,600 --> 00:04:56,680 Speaker 1: the ongoing Saturday night massacre, uh that Trump is working 79 00:04:56,720 --> 00:05:00,600 Speaker 1: his way through. We're gonna talk about coronavirus. What what what 80 00:05:00,880 --> 00:05:06,640 Speaker 1: was Nick's headline that he texted Ushan got you all 81 00:05:06,800 --> 00:05:15,880 Speaker 1: check that pretty good? Yeah, Uh, wacky promo check in. 82 00:05:16,000 --> 00:05:20,039 Speaker 1: We got a ring that you can propose with that 83 00:05:20,200 --> 00:05:29,680 Speaker 1: is made of crystal PEPSI. Uh, that's right. Pack that. Later, 84 00:05:30,400 --> 00:05:34,679 Speaker 1: the Hunt has been uncanceled, that movie that was supposed 85 00:05:34,680 --> 00:05:39,960 Speaker 1: to be controversial and about liberals hunting deplorables. Uh, we're 86 00:05:40,000 --> 00:05:42,240 Speaker 1: gonna look at that, look at why that might not 87 00:05:42,279 --> 00:05:46,360 Speaker 1: be exactly what we all thought. And we will look 88 00:05:46,400 --> 00:05:50,240 Speaker 1: at Robert Pattinson in the Batman suit. He looks he 89 00:05:50,320 --> 00:05:53,840 Speaker 1: looks like Batman books apart. Yeah, although I'm gonna come 90 00:05:53,880 --> 00:05:59,640 Speaker 1: with a hot tape alright, Savior magma level then if 91 00:05:59,640 --> 00:06:03,919 Speaker 1: I can and the hot where's it? Where's it coming in? 92 00:06:04,120 --> 00:06:09,960 Speaker 1: Fire magma extra nuclear meltdown. Also for all science sight gang, 93 00:06:09,960 --> 00:06:12,279 Speaker 1: tell us what is the hottest material on Earth? So 94 00:06:12,320 --> 00:06:15,280 Speaker 1: we can actually put together a hot plasma? Right, isn't it? 95 00:06:15,320 --> 00:06:20,360 Speaker 1: What's the sun made of? Hydrogen plasma? I don't know 96 00:06:20,560 --> 00:06:27,920 Speaker 1: who gets there's another question? Who gives a ship? Uh, 97 00:06:28,040 --> 00:06:39,400 Speaker 1: let's ask hydrogen baby, hydrogen flaming hydrogen taken. But first, Natalie, 98 00:06:39,400 --> 00:06:41,040 Speaker 1: we like to ask our guests, what is something from 99 00:06:41,080 --> 00:06:44,560 Speaker 1: your search history that's revealing about who you are? I 100 00:06:44,600 --> 00:06:48,120 Speaker 1: would say theme song to the Golden Girls. I like, 101 00:06:48,240 --> 00:06:51,000 Speaker 1: I like TV theme songs, or I like old stuff 102 00:06:51,040 --> 00:06:53,520 Speaker 1: in general, Like I listened to a lot of the 103 00:06:53,600 --> 00:06:55,560 Speaker 1: music that my parents listened to. I like a lot 104 00:06:55,640 --> 00:06:58,000 Speaker 1: of old TV. So Golden Girls obviously is one of 105 00:06:58,040 --> 00:07:00,760 Speaker 1: my favorite chips. Night Courts, one of my favorite shows, 106 00:07:00,800 --> 00:07:04,640 Speaker 1: also has a really awesome theme song, well like theme music, 107 00:07:04,680 --> 00:07:07,560 Speaker 1: like their lyrics. The Night Court was trying to picture 108 00:07:07,600 --> 00:07:10,600 Speaker 1: then Court theme song, and all I could hear was 109 00:07:10,720 --> 00:07:14,400 Speaker 1: the Law and Order. It does have a click click 110 00:07:14,520 --> 00:07:17,920 Speaker 1: at the end of it. It's like, Dad, it isn't 111 00:07:17,960 --> 00:07:23,280 Speaker 1: what you were just singing the Okay, yeah, hold on, 112 00:07:23,520 --> 00:07:30,800 Speaker 1: just play it right now? Yeah ship yeah, oh yeah, 113 00:07:32,800 --> 00:07:40,000 Speaker 1: it's awesome made this steely Dane wow vibe. Also, the 114 00:07:40,040 --> 00:07:43,120 Speaker 1: thing I love about especially like TV theme songs, is 115 00:07:43,200 --> 00:07:46,080 Speaker 1: just like it shows you, like everybody's personality in like 116 00:07:46,200 --> 00:07:49,440 Speaker 1: thirty seconds, but it's always like somebody like bumbling with 117 00:07:49,600 --> 00:07:53,480 Speaker 1: something like that, like like books follow to somebody's locker, 118 00:07:53,520 --> 00:07:56,360 Speaker 1: into somebody's face, and then they turned into just missing 119 00:07:56,400 --> 00:08:02,160 Speaker 1: a cab by a second. Damn it, curbs ashwater, every 120 00:08:02,440 --> 00:08:04,400 Speaker 1: everything I need to know about you, all right, Yeah, 121 00:08:04,880 --> 00:08:07,240 Speaker 1: everybody should have that like on their phone, just a 122 00:08:07,280 --> 00:08:10,520 Speaker 1: fifteen second clip of them, like their TV theme song 123 00:08:10,680 --> 00:08:13,280 Speaker 1: where it's just like, here's my general But I think 124 00:08:13,320 --> 00:08:16,720 Speaker 1: that should be the new tender profiles is reduced your 125 00:08:16,720 --> 00:08:19,880 Speaker 1: personality to what you're like sort of block would be 126 00:08:19,920 --> 00:08:24,440 Speaker 1: in an old sitcom intro was the Golden Girls theme 127 00:08:24,480 --> 00:08:27,200 Speaker 1: song thank you for Being? That is that's like a 128 00:08:27,240 --> 00:08:31,119 Speaker 1: little bit uh sentimental for that show because the show 129 00:08:31,280 --> 00:08:35,400 Speaker 1: is just like great jokes, ripping people apart. Oh yeah, 130 00:08:35,400 --> 00:08:40,280 Speaker 1: they rip each other for being but at the end 131 00:08:40,280 --> 00:08:41,760 Speaker 1: of the day, you know, at the end of the 132 00:08:41,840 --> 00:08:47,760 Speaker 1: day they love each other after calling each other sluts, Like, well, 133 00:08:47,920 --> 00:08:56,839 Speaker 1: I mean, Blanche, we need to put her name back 134 00:08:56,880 --> 00:08:58,560 Speaker 1: into the zeit guys, you know what I mean. People, 135 00:08:58,720 --> 00:09:01,840 Speaker 1: we're still talking too much about X in the City characters. Yeah, exactly, 136 00:09:01,880 --> 00:09:06,200 Speaker 1: Blanches the real what what was I haven't we rebooted 137 00:09:06,320 --> 00:09:09,640 Speaker 1: Golden Girls yet because you can't touch Yeah, but you 138 00:09:09,679 --> 00:09:13,600 Speaker 1: know how these people are. Yeah, Like the day they 139 00:09:13,600 --> 00:09:16,120 Speaker 1: do that is they I'm going to lose. They should 140 00:09:16,160 --> 00:09:19,960 Speaker 1: just remastered or something or just deep fake it, you 141 00:09:19,960 --> 00:09:22,839 Speaker 1: know what I mean. Get good writers to keep writing episodes, 142 00:09:22,880 --> 00:09:25,680 Speaker 1: but you still have the same faces and people in 143 00:09:25,720 --> 00:09:29,000 Speaker 1: it that actually would be really cool, that would be dark. 144 00:09:29,160 --> 00:09:38,840 Speaker 1: But the widowers, um actually knows. That's so Dorothy's born, 145 00:09:39,200 --> 00:09:42,120 Speaker 1: um be Arthur's character. Like she was like, so she 146 00:09:42,160 --> 00:09:44,240 Speaker 1: was cheated on after like thirty eight years of marriage. 147 00:09:44,240 --> 00:09:46,160 Speaker 1: So she was the only one that wasn't widowed. Everybody 148 00:09:46,160 --> 00:09:49,520 Speaker 1: else was and her ex husband was Yeah, he was 149 00:09:49,720 --> 00:09:53,680 Speaker 1: just really was terrible. Well that's great, that's a great 150 00:09:53,679 --> 00:09:57,280 Speaker 1: search history. What is something that you think is overrated? 151 00:09:58,240 --> 00:10:03,120 Speaker 1: American cheese, especially the single slices? So okay, So here's 152 00:10:03,160 --> 00:10:06,400 Speaker 1: here's what. Okay. So one of my old roommates just 153 00:10:06,440 --> 00:10:09,800 Speaker 1: became an American citizen about like a month or two ago, 154 00:10:10,000 --> 00:10:12,080 Speaker 1: and his wife, one of my really good friends, she 155 00:10:12,320 --> 00:10:14,240 Speaker 1: held like a party, like a celebration party for him, 156 00:10:14,760 --> 00:10:16,959 Speaker 1: and one of the things that they she asked the 157 00:10:16,960 --> 00:10:19,600 Speaker 1: guests to do was to write down like a piece 158 00:10:19,600 --> 00:10:22,920 Speaker 1: of advice for a new American or or something to 159 00:10:23,000 --> 00:10:25,600 Speaker 1: keep in mind. And so my advice to him was, like, 160 00:10:25,920 --> 00:10:29,880 Speaker 1: do not feel obligated to buy American cheese for a cookout, 161 00:10:30,000 --> 00:10:32,160 Speaker 1: Like it's not going to make you any less patriotic 162 00:10:32,679 --> 00:10:36,160 Speaker 1: if you get like prom alone or something else, because 163 00:10:36,200 --> 00:10:40,040 Speaker 1: it's so bad at least that's just my opinion. It's 164 00:10:40,160 --> 00:10:44,120 Speaker 1: context cheese. You know, I'm never like it doesn't work 165 00:10:44,200 --> 00:10:47,000 Speaker 1: on its own. No, you know, you never. It's never like, 166 00:10:47,000 --> 00:10:49,840 Speaker 1: oh a cheese board, thank god, there's some craft symbols next, 167 00:10:51,440 --> 00:10:53,079 Speaker 1: you know what I mean, Like, it's never like that 168 00:10:53,679 --> 00:10:58,280 Speaker 1: a grilled cheese. Fine, yeah, yeah, it's in the context 169 00:10:58,400 --> 00:11:00,960 Speaker 1: that's her grilled cheese. But what I do, it's the 170 00:11:01,000 --> 00:11:05,040 Speaker 1: superior cheese for a cheeseburger. That's the thing that I 171 00:11:05,040 --> 00:11:07,720 Speaker 1: feel like we're programmed to think like that is what 172 00:11:07,760 --> 00:11:12,120 Speaker 1: should go on a burger Off talking about this program, Yeah, 173 00:11:12,160 --> 00:11:16,520 Speaker 1: and there's so many other or cook off yes, Bay 174 00:11:16,600 --> 00:11:20,360 Speaker 1: Ridge style. Yeah, I mean like again, it's context. Other 175 00:11:20,400 --> 00:11:23,880 Speaker 1: than that, I'm yeah, I'm like, don't and you can 176 00:11:23,880 --> 00:11:26,520 Speaker 1: get single slices of better cheese. It's it's out there, 177 00:11:26,600 --> 00:11:30,160 Speaker 1: it's right, or refuse to look. I don't know. I 178 00:11:30,160 --> 00:11:32,520 Speaker 1: think you'd be surprised you go to your deli and 179 00:11:32,559 --> 00:11:35,640 Speaker 1: have them slice it there. Well, I've never seen like 180 00:11:35,640 --> 00:11:38,920 Speaker 1: an American cheese loaf. I've never seen somebody like mean, like, 181 00:11:39,200 --> 00:11:41,880 Speaker 1: if you want like cheddar, because sometimes you have prepackaged 182 00:11:42,120 --> 00:11:43,920 Speaker 1: it's expensive. But if you go to the deli, count 183 00:11:44,000 --> 00:11:48,920 Speaker 1: I'm slice it. It's way cheaper, is that true? If 184 00:11:48,920 --> 00:11:52,280 Speaker 1: you get like a Sargento like three sliced, like like 185 00:11:52,440 --> 00:11:54,800 Speaker 1: you know, stuff that's like four or five bucks or something, 186 00:11:55,000 --> 00:11:57,559 Speaker 1: you only get like eight slices. If you don't open 187 00:11:57,559 --> 00:11:59,600 Speaker 1: the package, you can keep it for like a year. 188 00:11:59,840 --> 00:12:03,400 Speaker 1: I'm always surprised when you shredded cheese and it's like 189 00:12:03,600 --> 00:12:09,400 Speaker 1: used by I don't know, like early thirties. I can 190 00:12:09,400 --> 00:12:11,480 Speaker 1: attest to the freshness of that because I used to 191 00:12:11,480 --> 00:12:14,400 Speaker 1: do um so for my birthday. I used to do 192 00:12:14,480 --> 00:12:18,800 Speaker 1: these like cartoon sandwich birthday parties where I like the 193 00:12:18,880 --> 00:12:21,960 Speaker 1: idea was to make like our guests could make sandwiches 194 00:12:22,000 --> 00:12:24,600 Speaker 1: that were as tall as the ones on Scooby Doo. 195 00:12:24,760 --> 00:12:27,200 Speaker 1: Would like give you all of the materials that you 196 00:12:27,280 --> 00:12:29,600 Speaker 1: needed to make it. All I just asked you to 197 00:12:29,640 --> 00:12:33,160 Speaker 1: do was bring booze and or soda or whatever you want. 198 00:12:33,240 --> 00:12:35,040 Speaker 1: But I will bring everything you need to make. And 199 00:12:35,080 --> 00:12:37,640 Speaker 1: so I would get all those packs of cheese like Sargento, 200 00:12:37,720 --> 00:12:39,440 Speaker 1: Like that was the only time I would splurge, was 201 00:12:39,480 --> 00:12:41,800 Speaker 1: like for that. But then of course, like I would 202 00:12:41,880 --> 00:12:43,960 Speaker 1: over buy and so there would just be like packs 203 00:12:43,960 --> 00:12:45,880 Speaker 1: of cheese that was sitting in my fridge for like months. 204 00:12:45,920 --> 00:12:48,400 Speaker 1: But then I was like, this still looks good like 205 00:12:48,080 --> 00:12:52,480 Speaker 1: it like it was shrink wrapped like up until the 206 00:12:52,520 --> 00:12:56,760 Speaker 1: point that just the whole surface area is covered. You 207 00:12:56,760 --> 00:12:58,800 Speaker 1: can just cut the mold off and then it's perfect 208 00:12:58,880 --> 00:13:01,960 Speaker 1: on the inside. I actually, food scientists, if we have 209 00:13:02,000 --> 00:13:06,560 Speaker 1: any like or just please reach out to us and 210 00:13:06,640 --> 00:13:09,679 Speaker 1: let us know, like, is it okay to eat cheese 211 00:13:09,720 --> 00:13:12,199 Speaker 1: if you just cut the mold part off. That doesn't 212 00:13:12,240 --> 00:13:14,680 Speaker 1: seem like it should be right because that that just 213 00:13:14,720 --> 00:13:18,520 Speaker 1: seems like we're just covering, covering up the visual. Even 214 00:13:18,640 --> 00:13:21,199 Speaker 1: mold generally can't penetrate far into the hard and semi 215 00:13:21,240 --> 00:13:23,800 Speaker 1: soft cheese such a cheddar, Colby, Parmesan, and Swiss, So 216 00:13:23,880 --> 00:13:25,760 Speaker 1: you can cut away the moldy part and eat the 217 00:13:25,760 --> 00:13:27,880 Speaker 1: rest of the cheese. Cut off at least one inch 218 00:13:27,960 --> 00:13:31,439 Speaker 1: around and below the mouldy spot. These molds are safe 219 00:13:31,440 --> 00:13:35,960 Speaker 1: for healthy adults to eat. That's that's when. That's what 220 00:13:36,000 --> 00:13:39,320 Speaker 1: the Mayo Clinic says. Like bread, I won't funk with 221 00:13:39,320 --> 00:13:42,040 Speaker 1: it if it's certainly moldy anywhere, I won't be like, 222 00:13:42,080 --> 00:13:44,080 Speaker 1: all right, cut that mold off, and my mom used 223 00:13:44,120 --> 00:13:45,960 Speaker 1: to do that. She'll be like the mold. I guess 224 00:13:46,000 --> 00:13:48,480 Speaker 1: you like, batter it up and make it into French toast, 225 00:13:48,720 --> 00:13:51,560 Speaker 1: not the mold. Yeah. Cut the mold off. Yeah yeah, 226 00:13:52,160 --> 00:13:54,160 Speaker 1: cut the mold off and then make French toast out 227 00:13:54,160 --> 00:13:55,800 Speaker 1: of the mold. Tiesel like, we don't. We don't treat 228 00:13:56,160 --> 00:13:58,400 Speaker 1: milk like that, where we're like get the chunks out 229 00:13:58,440 --> 00:14:10,280 Speaker 1: of there and resting. What is something you think is underrated? Uh? 230 00:14:10,480 --> 00:14:14,480 Speaker 1: The show? What the reboot of One Day at a 231 00:14:14,520 --> 00:14:18,240 Speaker 1: Time on Netflix? I think that is an underrated thing. 232 00:14:18,559 --> 00:14:21,480 Speaker 1: Um so, so it's like I said, I like old stuff. 233 00:14:21,840 --> 00:14:23,840 Speaker 1: So so it was a reboot of the original One 234 00:14:23,880 --> 00:14:25,520 Speaker 1: Day at a Time that was on in the seventies. 235 00:14:25,560 --> 00:14:27,880 Speaker 1: It was like Valerie Burton, Nellie Mackenzie Phillips, and it 236 00:14:27,920 --> 00:14:31,360 Speaker 1: was like about a single mom raising single divorce mom 237 00:14:31,440 --> 00:14:34,200 Speaker 1: raising two teenage daughters. And then they did a revamp 238 00:14:34,240 --> 00:14:37,840 Speaker 1: for Netflix where now the family instead of a white family, 239 00:14:37,880 --> 00:14:40,400 Speaker 1: it's a Cuban family. So still a single mom, but 240 00:14:40,440 --> 00:14:42,680 Speaker 1: she has a daughter and a son and the daughter 241 00:14:42,720 --> 00:14:45,800 Speaker 1: just came out, um and then she's like a military 242 00:14:45,960 --> 00:14:48,680 Speaker 1: ve you know, suffering from PTSD is like trying to 243 00:14:48,720 --> 00:14:52,040 Speaker 1: become like the daughter no, the mom of the mom 244 00:14:52,160 --> 00:14:55,880 Speaker 1: is yeah. And so this was on Netflix for for 245 00:14:55,960 --> 00:14:59,360 Speaker 1: three seasons, but like they had to fight, like like 246 00:14:59,400 --> 00:15:01,400 Speaker 1: all good show on Netflix, but they had to fight 247 00:15:01,440 --> 00:15:04,280 Speaker 1: like hey, like we need people to like show up 248 00:15:04,320 --> 00:15:07,040 Speaker 1: and like watch this, you know, because like if Netflix 249 00:15:07,080 --> 00:15:08,880 Speaker 1: sees this, you know we'll get renewed. And so it 250 00:15:08,920 --> 00:15:11,960 Speaker 1: was like a fight every season to get like back 251 00:15:12,000 --> 00:15:14,960 Speaker 1: on and then Netflix ended up dropping them, and then 252 00:15:15,000 --> 00:15:17,640 Speaker 1: but then another network called Pop TV ended up picking 253 00:15:17,640 --> 00:15:19,480 Speaker 1: them up, so now they're gonna be a fourth season. 254 00:15:19,800 --> 00:15:22,080 Speaker 1: But I just felt so mad because it's such a 255 00:15:22,120 --> 00:15:24,240 Speaker 1: good show. It's one of those things where I don't 256 00:15:24,240 --> 00:15:26,880 Speaker 1: binge stuff very often, but that was one show where 257 00:15:26,880 --> 00:15:29,480 Speaker 1: I watched like at least ten episodes and like one 258 00:15:29,480 --> 00:15:31,840 Speaker 1: sitting and then I'm like crying in the middle of 259 00:15:31,880 --> 00:15:35,440 Speaker 1: it because like there's no like I it's really emotionally, 260 00:15:35,440 --> 00:15:37,920 Speaker 1: Like it's a really funny show, but it's also really emotional, 261 00:15:38,040 --> 00:15:41,280 Speaker 1: especially the story arc that involves a daughter coming out 262 00:15:41,280 --> 00:15:43,880 Speaker 1: because it's keeping family, so she ends up celebrating like 263 00:15:43,880 --> 00:15:47,080 Speaker 1: her cantinera and not to give it away, like sorry 264 00:15:47,120 --> 00:15:49,040 Speaker 1: spoiler for people who are listening if they want to 265 00:15:49,040 --> 00:15:54,160 Speaker 1: watch it but uh yes, but um yeah. So the 266 00:15:54,200 --> 00:15:57,440 Speaker 1: most of the first season revolves around her getting ready 267 00:15:57,480 --> 00:16:00,120 Speaker 1: for a continera um, and she's also coming out at 268 00:16:00,160 --> 00:16:03,320 Speaker 1: the same time, you know, and h her her dad 269 00:16:03,760 --> 00:16:05,960 Speaker 1: because her mom's divorced, like finds out that she's gay 270 00:16:05,960 --> 00:16:08,200 Speaker 1: and like not a fan of it. And so at 271 00:16:08,240 --> 00:16:12,160 Speaker 1: the Kinsey Kincinera, like there's like a father daughter dance 272 00:16:12,200 --> 00:16:14,080 Speaker 1: that comes up, and so she goes out, like the 273 00:16:14,080 --> 00:16:16,120 Speaker 1: announcers like, okay, it's time for father daughter dance. And 274 00:16:16,160 --> 00:16:19,680 Speaker 1: she goes out there and her dad is gone, like 275 00:16:19,760 --> 00:16:22,400 Speaker 1: he bolted, and she's like just standing out there like 276 00:16:22,480 --> 00:16:25,240 Speaker 1: by herself, and then her mom like sees what's happening, 277 00:16:25,240 --> 00:16:26,760 Speaker 1: and then she goes out and she's like I got you, 278 00:16:26,800 --> 00:16:28,920 Speaker 1: and she's like dancing with her, and then the entire 279 00:16:28,960 --> 00:16:31,680 Speaker 1: family comes out in the dance floor and joins her. 280 00:16:32,160 --> 00:16:37,840 Speaker 1: So I was like, yeah, that was the first season. 281 00:16:38,480 --> 00:16:40,600 Speaker 1: So it's like there are parts of it are like 282 00:16:40,640 --> 00:16:42,920 Speaker 1: absolutely hysterical, and there are other parts where I'm just 283 00:16:43,000 --> 00:16:48,840 Speaker 1: likely like in the fetal position like a three camera sitcom, 284 00:16:48,960 --> 00:16:55,280 Speaker 1: Like it's like a it's like like traditional sitcom mute. 285 00:16:55,760 --> 00:16:58,280 Speaker 1: Interesting but yeah, but now it's now what's on this 286 00:16:58,360 --> 00:17:00,160 Speaker 1: new network. So, but you can watch im you can 287 00:17:00,160 --> 00:17:02,920 Speaker 1: watch all the old seasons on Netflix. But if you 288 00:17:02,960 --> 00:17:05,800 Speaker 1: want to continue watching it now it's on Pop. I 289 00:17:05,800 --> 00:17:08,080 Speaker 1: don't know. I don't even know, Like if every cable 290 00:17:08,119 --> 00:17:10,399 Speaker 1: carrier has that, I hope mine does. I would like 291 00:17:10,440 --> 00:17:17,480 Speaker 1: to continue watching pop on demand and Pop Pop great apps. Uh. 292 00:17:17,560 --> 00:17:19,600 Speaker 1: And finally, what is a myth with something people think 293 00:17:19,720 --> 00:17:23,160 Speaker 1: is true you know to be false. Fleshable wipes are 294 00:17:23,280 --> 00:17:28,040 Speaker 1: not really flushable. Fleshable wipes are not really flushed. I 295 00:17:28,040 --> 00:17:30,679 Speaker 1: think you ask any plumber or anybody who deals with 296 00:17:30,720 --> 00:17:33,879 Speaker 1: septic stuff, they're like, please do not use these things 297 00:17:33,920 --> 00:17:36,600 Speaker 1: because Okay, So like my where I work, like they 298 00:17:36,640 --> 00:17:38,760 Speaker 1: have like a sign in the bathroom now it was 299 00:17:38,840 --> 00:17:41,760 Speaker 1: like like, please do not flush these items, like they're 300 00:17:41,760 --> 00:17:43,560 Speaker 1: literally like screaming at you. And one of them was 301 00:17:43,640 --> 00:17:47,119 Speaker 1: like baby wipes. And really the only difference between baby 302 00:17:47,119 --> 00:17:50,280 Speaker 1: wipes and flushable wipes is that fleshable wipes, you're wiping 303 00:17:50,280 --> 00:17:55,560 Speaker 1: your own ass and nobody's wiping somebody else here. That's 304 00:17:55,600 --> 00:17:57,920 Speaker 1: the only difference between fleshable wipes and baby wipes. It's 305 00:17:57,960 --> 00:18:02,640 Speaker 1: the same thing. Yeah, context, it's just the context and so, 306 00:18:02,760 --> 00:18:04,879 Speaker 1: and I feel like it's it's totally a big marketing 307 00:18:04,880 --> 00:18:07,720 Speaker 1: scam because they know that industry knows that you're not 308 00:18:07,760 --> 00:18:10,440 Speaker 1: supposed to put that like or flesh dose, and they 309 00:18:10,480 --> 00:18:13,000 Speaker 1: put fleshable on it to make you think that it's okay. 310 00:18:13,040 --> 00:18:17,159 Speaker 1: It's really not okay. That seems like that should be 311 00:18:17,440 --> 00:18:19,840 Speaker 1: we should be able to like do a class action lawsuits. 312 00:18:19,920 --> 00:18:22,600 Speaker 1: Your plumbers should be able to do a class action lawsuit, 313 00:18:23,119 --> 00:18:27,359 Speaker 1: because yeah, you hear those stories about just like the 314 00:18:27,400 --> 00:18:31,840 Speaker 1: water treatment facilities and there's just like giant, like fucking 315 00:18:32,000 --> 00:18:37,240 Speaker 1: trash gyres of fleshable wipes and ship just like building up. 316 00:18:37,280 --> 00:18:39,159 Speaker 1: And then and then I want, like I want to 317 00:18:39,160 --> 00:18:41,720 Speaker 1: clean ass as much as anybody else, But if it's 318 00:18:41,720 --> 00:18:44,760 Speaker 1: gonna mess up somebody's it could mess up like your 319 00:18:44,760 --> 00:18:47,080 Speaker 1: friend's toilet if you're at a party and use it, 320 00:18:47,160 --> 00:18:51,240 Speaker 1: like you know, that's not great. I use it, but 321 00:18:51,280 --> 00:18:53,400 Speaker 1: then I go out and bury it in the backyard. 322 00:18:54,880 --> 00:19:00,000 Speaker 1: That's how I treat all these weird dug up spots 323 00:18:59,560 --> 00:19:05,719 Speaker 1: and perfect crass. All right, let's take a quick break 324 00:19:05,880 --> 00:19:19,720 Speaker 1: and we will be right back. And we're back, and 325 00:19:20,280 --> 00:19:25,480 Speaker 1: let's talk about the primary. The primary Uh, what we 326 00:19:25,520 --> 00:19:28,720 Speaker 1: need to drop for that at some point. Yeah, work 327 00:19:28,760 --> 00:19:38,600 Speaker 1: on it. Okay, Prime, there we go. Done. So there 328 00:19:38,760 --> 00:19:43,280 Speaker 1: is a feud going on between like a smaller feud 329 00:19:43,280 --> 00:19:46,720 Speaker 1: between James Carvel and Bernie Sanders, but just a larger 330 00:19:46,800 --> 00:19:54,320 Speaker 1: few between the military industrial CNN, cable News, DNC industrial 331 00:19:54,480 --> 00:20:00,000 Speaker 1: complex and Bernie Sanders just as a candidate. So James 332 00:20:00,080 --> 00:20:03,840 Speaker 1: Carvell was just out here saying, you know, Bernie Sanders 333 00:20:04,000 --> 00:20:07,000 Speaker 1: is the Democratic Party needs to take a long look 334 00:20:07,040 --> 00:20:14,760 Speaker 1: at itself in the mirror, mirror, mirror. Uh, and exactly 335 00:20:15,359 --> 00:20:19,280 Speaker 1: and uh, because they need to figure out if they 336 00:20:19,359 --> 00:20:23,440 Speaker 1: are a party that is going to like pay attention 337 00:20:23,480 --> 00:20:28,199 Speaker 1: to electability. And he is, of course using the nineties 338 00:20:28,920 --> 00:20:34,919 Speaker 1: definition of electability, which is Wall Street friendly Democrat who 339 00:20:35,160 --> 00:20:40,879 Speaker 1: is centrist and uninspiring and very careful and not going 340 00:20:41,000 --> 00:20:45,040 Speaker 1: to alienate anybody and still sucking over the poor, still 341 00:20:45,040 --> 00:20:47,080 Speaker 1: working over the poor, which is a very important And 342 00:20:47,080 --> 00:20:49,480 Speaker 1: that whole carval mentality is also sort of like we 343 00:20:49,600 --> 00:20:52,720 Speaker 1: know poor people, better them poor people do, right, I 344 00:20:52,840 --> 00:20:55,160 Speaker 1: know the needs of poor people. I have not been 345 00:20:55,240 --> 00:20:58,440 Speaker 1: pulled for a minute for quite a time. But he's 346 00:20:58,440 --> 00:21:01,880 Speaker 1: always relying on like consultants operatives, like you know, those 347 00:21:01,880 --> 00:21:04,119 Speaker 1: are the people who really you know, what's going on. 348 00:21:04,240 --> 00:21:06,560 Speaker 1: It's a complete like it's just a dated way of 349 00:21:06,600 --> 00:21:09,840 Speaker 1: looking at how the electorate works, like how we're even 350 00:21:09,840 --> 00:21:14,439 Speaker 1: looking at campaigns and things like that. Yeah. Yeah, So, uh, 351 00:21:14,880 --> 00:21:17,159 Speaker 1: Sanders was just like, yeah, I mean he's kind of 352 00:21:17,200 --> 00:21:19,800 Speaker 1: a political hack, and like, I don't I'm not that 353 00:21:19,840 --> 00:21:24,399 Speaker 1: worried about what he has to say. And Carvell uh said, 354 00:21:25,760 --> 00:21:28,359 Speaker 1: you say political hack like it's a bad thing. I 355 00:21:29,520 --> 00:21:33,359 Speaker 1: kind of like it, which, uh, I feel like was 356 00:21:33,400 --> 00:21:36,720 Speaker 1: probably cute back in like the primary Colors days, when 357 00:21:36,800 --> 00:21:39,359 Speaker 1: like politics was a game and it was like didn't 358 00:21:39,359 --> 00:21:42,200 Speaker 1: really we didn't think about the fact that it affected 359 00:21:42,280 --> 00:21:45,639 Speaker 1: people's lives, or at least the mainstream media didn't that 360 00:21:45,680 --> 00:21:49,000 Speaker 1: I was paying attention to. Uh. And so it was 361 00:21:49,080 --> 00:21:51,560 Speaker 1: just like, you know, fun that, like you had this 362 00:21:51,680 --> 00:21:56,000 Speaker 1: fun character on Crossfire who was cynical, but like fun 363 00:21:56,040 --> 00:21:59,080 Speaker 1: about his cynicism. Oh and then he also said, but 364 00:21:59,119 --> 00:22:02,760 Speaker 1: at least I'm not a communist. Yeah, that's that's true. 365 00:22:03,760 --> 00:22:09,560 Speaker 1: At least I'm not a horse faced ponenth soldier. Why 366 00:22:09,560 --> 00:22:11,359 Speaker 1: did anybody why did he think anybody was going to 367 00:22:11,480 --> 00:22:16,439 Speaker 1: know that reference? Yeah, yeah, but I mean this is 368 00:22:16,440 --> 00:22:18,800 Speaker 1: a great excuse for any like older person. It's a 369 00:22:18,920 --> 00:22:25,199 Speaker 1: John Wayne Line did say the most race, but I 370 00:22:25,200 --> 00:22:28,159 Speaker 1: mean he's gonna end up supporting Bloomberg, as is the 371 00:22:28,440 --> 00:22:33,800 Speaker 1: entire DNC from Michael Bennett, right, like he thought he 372 00:22:33,920 --> 00:22:37,600 Speaker 1: thought that was the man that shows you how the 373 00:22:37,640 --> 00:22:41,000 Speaker 1: Democratic Party. Yeah, this is how locked in his his 374 00:22:41,359 --> 00:22:49,600 Speaker 1: elect Sorry, yeah, yeah, Michael Bennett is my guy. It's yeah, 375 00:22:49,920 --> 00:22:54,040 Speaker 1: it just seems obvious to me that like, yeah, they're 376 00:22:54,080 --> 00:22:58,159 Speaker 1: they're out of touch with what populism is, right, Like 377 00:22:58,240 --> 00:23:03,440 Speaker 1: they think populism is like charting your path like as 378 00:23:03,520 --> 00:23:07,480 Speaker 1: close to the center as possible, and it's like, no, 379 00:23:07,760 --> 00:23:12,320 Speaker 1: populism is what Trump won with that like the you know, 380 00:23:12,560 --> 00:23:14,919 Speaker 1: cable news was not in touch with at all and 381 00:23:14,960 --> 00:23:17,240 Speaker 1: more like yeah, I'd like to see you try to 382 00:23:17,240 --> 00:23:20,920 Speaker 1: win on that, and then he did, but his like 383 00:23:21,000 --> 00:23:25,160 Speaker 1: what he ran on, he totally didn't follow through with, 384 00:23:25,320 --> 00:23:30,080 Speaker 1: right and Sanders actual policies and a lot of Elizabeth 385 00:23:30,119 --> 00:23:34,240 Speaker 1: Warren's policies are the things that actually follow through on 386 00:23:34,280 --> 00:23:39,080 Speaker 1: those policies, but again they seem completely just incapable of 387 00:23:39,359 --> 00:23:42,880 Speaker 1: understanding those values. It's just because it's so much like 388 00:23:43,320 --> 00:23:47,639 Speaker 1: puts fucking polls and focus groups and like using data 389 00:23:48,000 --> 00:23:50,639 Speaker 1: like there there's it's such a it's it's lost to 390 00:23:50,680 --> 00:23:54,440 Speaker 1: the humanity aspect of it. But I think like the 391 00:23:54,520 --> 00:23:58,440 Speaker 1: polls seemed to indicate that these things are popular. They 392 00:23:58,480 --> 00:24:01,840 Speaker 1: just don't want to admit those things. But no, but 393 00:24:01,880 --> 00:24:03,320 Speaker 1: you know what I mean, you can but they'll even 394 00:24:03,320 --> 00:24:07,760 Speaker 1: manipulate like the like data to just sort of look 395 00:24:07,800 --> 00:24:10,919 Speaker 1: at it another way to sort of bolster their points, Right, 396 00:24:11,040 --> 00:24:13,160 Speaker 1: That's what I'm saying. It's just like you can turn 397 00:24:13,240 --> 00:24:16,320 Speaker 1: the I guess yeah, you know what I think is 398 00:24:16,359 --> 00:24:19,040 Speaker 1: like they're just the only data sets they used to 399 00:24:19,080 --> 00:24:21,680 Speaker 1: even figure out what people want is from like just 400 00:24:21,800 --> 00:24:23,960 Speaker 1: doing this like traditional thing of getting people in a 401 00:24:24,040 --> 00:24:26,480 Speaker 1: room and taking like, well that's what a focus group said, 402 00:24:27,080 --> 00:24:29,640 Speaker 1: that must be what people want and not really like 403 00:24:29,760 --> 00:24:32,600 Speaker 1: if you know, if if you're organizing more you you 404 00:24:32,680 --> 00:24:35,480 Speaker 1: hear people talk, you start to get another there's another 405 00:24:35,560 --> 00:24:38,840 Speaker 1: dimension of what people's realities are versus what people say 406 00:24:38,880 --> 00:24:42,399 Speaker 1: in a focus group, which sometimes is reliable. Other times 407 00:24:42,400 --> 00:24:44,520 Speaker 1: people will you know, you don't know how people how 408 00:24:44,640 --> 00:24:46,760 Speaker 1: sincere people are being in a focus group. I mean 409 00:24:46,760 --> 00:24:50,159 Speaker 1: it's reliable to an extent, but I think to solely 410 00:24:50,160 --> 00:24:52,640 Speaker 1: rely on that or like just think of like, well, 411 00:24:52,680 --> 00:24:55,760 Speaker 1: I know every affluent white voter my mind, and every 412 00:24:55,760 --> 00:24:58,000 Speaker 1: affluent white voter is always going to do this and 413 00:24:58,040 --> 00:25:00,240 Speaker 1: to be so rigid about or like I know most 414 00:25:00,280 --> 00:25:04,440 Speaker 1: working class people or poor folks don't want too much 415 00:25:04,560 --> 00:25:07,960 Speaker 1: progressive change. It's just like, but these are like very 416 00:25:08,160 --> 00:25:11,840 Speaker 1: old opinions that are just sort of not not really 417 00:25:12,040 --> 00:25:13,800 Speaker 1: you know, born out of anything really, and they're not 418 00:25:13,800 --> 00:25:16,280 Speaker 1: moving the needle on anything. Yeah, like stay in the 419 00:25:16,320 --> 00:25:20,320 Speaker 1: same place, right, and they're very informed by you know 420 00:25:20,359 --> 00:25:22,679 Speaker 1: the fact that they all hang out together, go to 421 00:25:22,760 --> 00:25:28,440 Speaker 1: the same like parties in Manhattan, and you know they yeah, 422 00:25:28,600 --> 00:25:35,399 Speaker 1: well yeah, I'm playing on an old jug band with 423 00:25:35,560 --> 00:25:42,080 Speaker 1: my told friends. I just he's such a character. It's 424 00:25:42,119 --> 00:25:45,800 Speaker 1: so weird, even though like his he's completely fallen off, 425 00:25:46,040 --> 00:25:48,359 Speaker 1: like in terms of like being able to like listen 426 00:25:48,359 --> 00:25:51,560 Speaker 1: to what he says, but yeah, that Kate McKinnon version 427 00:25:51,680 --> 00:25:54,600 Speaker 1: and just even himself the way he talks. I just 428 00:25:54,760 --> 00:25:58,560 Speaker 1: I can't get enough. Yeah, Bill Hitters impression of him 429 00:25:59,640 --> 00:26:03,560 Speaker 1: funny stand things, and uh, it was so funny that 430 00:26:03,600 --> 00:26:07,000 Speaker 1: it took completely replaced in my mind any real version 431 00:26:07,040 --> 00:26:10,280 Speaker 1: of him. Let's talk about just how the d n 432 00:26:10,320 --> 00:26:13,520 Speaker 1: C Democrats in general are dealing with the fact that 433 00:26:14,040 --> 00:26:18,359 Speaker 1: the first act of the primary was a complete fucking mess. 434 00:26:19,359 --> 00:26:23,880 Speaker 1: Iowa did not go well. Uh. The Associated Press as 435 00:26:23,920 --> 00:26:27,960 Speaker 1: of this recording, still hasn't called the contest because of 436 00:26:27,960 --> 00:26:32,800 Speaker 1: the discrepancies. Um. As soon as they started doing counts 437 00:26:32,840 --> 00:26:37,080 Speaker 1: that looked good for Sanders, the Tom Perez was like, Okay, 438 00:26:37,560 --> 00:26:40,560 Speaker 1: we need to Rea Canvas. This is enough. Is enough. 439 00:26:40,680 --> 00:26:42,720 Speaker 1: I don't think it was actually out of that though 440 00:26:42,760 --> 00:26:44,919 Speaker 1: it was. Yeah, I think it was just such a mess. 441 00:26:45,280 --> 00:26:47,879 Speaker 1: It just seemed coincidental. We also need to toss that 442 00:26:47,960 --> 00:26:51,080 Speaker 1: any process that involves a coin flip. When I remember that, 443 00:26:51,119 --> 00:26:56,679 Speaker 1: I was like, wait, wait, do that tode what the 444 00:26:56,720 --> 00:26:59,440 Speaker 1: outcome is of this? The ship we do to start 445 00:26:59,520 --> 00:27:02,560 Speaker 1: the sleeper bald to figure out what team the director? Yeah, 446 00:27:04,800 --> 00:27:07,800 Speaker 1: oh um, yeah, I think you know, when you look 447 00:27:07,800 --> 00:27:11,760 Speaker 1: at everything, like from the disastrous app to like the 448 00:27:11,760 --> 00:27:14,000 Speaker 1: phone lines being jammed, like some people are saying like 449 00:27:14,040 --> 00:27:16,399 Speaker 1: a bunch of Trump supporters are also jamming the phone 450 00:27:16,440 --> 00:27:18,720 Speaker 1: lines too, to make it even more difficult for the 451 00:27:18,760 --> 00:27:20,760 Speaker 1: results to be called. A person that like hung up 452 00:27:20,800 --> 00:27:23,080 Speaker 1: in the middle of the call. Yeah, yeah, I mean 453 00:27:23,240 --> 00:27:27,160 Speaker 1: so so far, the only person who's truly taken an 454 00:27:27,359 --> 00:27:30,000 Speaker 1: l here is Troy Price, the guy who's the head 455 00:27:30,040 --> 00:27:33,040 Speaker 1: of the Democratic Party in Iowa, who came out that day. 456 00:27:33,480 --> 00:27:36,760 Speaker 1: How do they I knew he was sacrificial when he 457 00:27:36,960 --> 00:27:40,080 Speaker 1: when they just sent his ass out there as the 458 00:27:40,119 --> 00:27:44,080 Speaker 1: face of the failure. He had the perfect face for it. 459 00:27:44,119 --> 00:27:47,800 Speaker 1: He just looked like a frustrated buffuddle. Yeah, and he 460 00:27:47,840 --> 00:27:50,159 Speaker 1: looked it looked like he was in a bad place. 461 00:27:50,480 --> 00:27:53,399 Speaker 1: He was just like God, he was squinning a lot, Yeah, 462 00:27:53,800 --> 00:27:55,280 Speaker 1: and having to go out there and be like, what 463 00:27:55,359 --> 00:27:57,879 Speaker 1: are the results? The results are that will give you 464 00:27:58,000 --> 00:28:02,800 Speaker 1: half the results in a few hours? What? Oh great? 465 00:28:03,080 --> 00:28:05,400 Speaker 1: And so he's resigned. Um, And you know, I don't 466 00:28:05,440 --> 00:28:07,520 Speaker 1: really have much of an opinion on that, but I 467 00:28:07,560 --> 00:28:09,560 Speaker 1: do feel like Tom Perez, was the head of the 468 00:28:09,640 --> 00:28:12,320 Speaker 1: d n C, actually needs to account for some of this, 469 00:28:12,400 --> 00:28:15,200 Speaker 1: like in a very meaningful way, if not resign himself. 470 00:28:15,600 --> 00:28:18,040 Speaker 1: I mean, he's been the leader of the d n 471 00:28:18,080 --> 00:28:22,120 Speaker 1: C for three years now, and all we've seen during 472 00:28:22,119 --> 00:28:25,720 Speaker 1: this primary season just messy bullshit rules being changed to 473 00:28:25,760 --> 00:28:29,480 Speaker 1: accommodate Mike Bloomberg. You know, there's there needs to be 474 00:28:29,600 --> 00:28:32,760 Speaker 1: some kind of fresh blood in there, because I mean, 475 00:28:32,800 --> 00:28:35,040 Speaker 1: and this is this is the hard part, right, it's 476 00:28:35,080 --> 00:28:38,440 Speaker 1: so entrenched and intertwined with like the big donor class 477 00:28:38,840 --> 00:28:43,080 Speaker 1: that before this, Keith Ellison was also you know, possibly 478 00:28:43,120 --> 00:28:44,719 Speaker 1: going to be the head of the d n C. 479 00:28:45,080 --> 00:28:47,320 Speaker 1: But it sort of became a proxy war between the 480 00:28:47,360 --> 00:28:50,840 Speaker 1: Clinton Obama wing of the party and the more left 481 00:28:50,880 --> 00:28:54,880 Speaker 1: wing UM who was backing Ellison and ultimately perez One 482 00:28:55,520 --> 00:28:58,200 Speaker 1: because the money, like, you know, they just didn't want 483 00:28:58,200 --> 00:29:01,080 Speaker 1: to take a chance on going to per restive because 484 00:29:01,120 --> 00:29:03,040 Speaker 1: then that means they're like, well, we can't scare off 485 00:29:03,200 --> 00:29:08,040 Speaker 1: this this money posed that just keeps blasting us UM. 486 00:29:08,080 --> 00:29:11,000 Speaker 1: And you know, the Congressional Black Caucus also wants answers 487 00:29:11,000 --> 00:29:14,160 Speaker 1: from Perez also. They they wrote a letter demanding he'd 488 00:29:14,200 --> 00:29:17,400 Speaker 1: take into some responsibility. They wrote, quote, as chairman of 489 00:29:17,440 --> 00:29:20,320 Speaker 1: the Democratic National Committee, you bear some responsibility for what 490 00:29:20,360 --> 00:29:23,239 Speaker 1: happened in Iowa and for the consequences. Uh. And then 491 00:29:23,240 --> 00:29:26,480 Speaker 1: they later went on to say that it's unacceptable problems 492 00:29:26,840 --> 00:29:30,720 Speaker 1: that happened in Iowa and it quote undermined public confidence 493 00:29:30,720 --> 00:29:33,360 Speaker 1: in the primary process, which is absolutely has and it 494 00:29:33,440 --> 00:29:36,920 Speaker 1: only adding to the fracturing within the party because the 495 00:29:36,960 --> 00:29:41,680 Speaker 1: second the results come in weird contested that immediately allows 496 00:29:41,760 --> 00:29:46,320 Speaker 1: all the campaigns to start fucking you know, thinking up ideas, 497 00:29:46,400 --> 00:29:51,120 Speaker 1: who's who's plotting against what is going on? Like voters minds, 498 00:29:51,480 --> 00:29:53,360 Speaker 1: they just think like, oh, another Trump is gonna It's 499 00:29:53,360 --> 00:29:55,640 Speaker 1: just bad. It's just bad across the board to have 500 00:29:55,720 --> 00:29:57,680 Speaker 1: something like this when you just want to if you 501 00:29:57,720 --> 00:29:59,760 Speaker 1: just need the process to be clean, I go in, 502 00:30:00,040 --> 00:30:02,720 Speaker 1: I say who I want, then I get the results, 503 00:30:02,760 --> 00:30:06,080 Speaker 1: not this weird math fucking up the formulas, then having 504 00:30:06,080 --> 00:30:09,680 Speaker 1: to reree canvas and it's it's just it. It's really 505 00:30:10,000 --> 00:30:12,160 Speaker 1: taking a lot of momentum out of the party trying 506 00:30:12,200 --> 00:30:15,040 Speaker 1: to go into November. Um. But you know, the other 507 00:30:15,120 --> 00:30:17,520 Speaker 1: thing is just sort of like the way the d 508 00:30:17,640 --> 00:30:19,960 Speaker 1: n C has been operating. They're just not interesting. They're 509 00:30:19,960 --> 00:30:22,280 Speaker 1: just interested in maintaining the power they have. They're not 510 00:30:22,600 --> 00:30:26,280 Speaker 1: that like real power grab, like to take more power 511 00:30:26,360 --> 00:30:29,200 Speaker 1: back isn't really in the d n A of the 512 00:30:29,360 --> 00:30:32,720 Speaker 1: d n C um at the moment. And that's that's 513 00:30:32,720 --> 00:30:35,640 Speaker 1: why we're gonna lose elections because it's uninspired. It's just 514 00:30:35,640 --> 00:30:38,080 Speaker 1: sort of like, well, let's maintain it's not like let's 515 00:30:38,120 --> 00:30:41,040 Speaker 1: fucking let's do something more. It's like, no, let's let's 516 00:30:41,040 --> 00:30:44,840 Speaker 1: maintain this ship. And you know what's really wild about 517 00:30:44,920 --> 00:30:48,200 Speaker 1: this is BuzzFeed reported that the d n C had 518 00:30:48,280 --> 00:30:51,480 Speaker 1: secretly there was like a you know, golden parachute escape 519 00:30:51,480 --> 00:30:54,920 Speaker 1: package for Tom Perez and his two top like lieutenants, 520 00:30:55,280 --> 00:30:57,880 Speaker 1: and then once the story got out, they were like, oh, yeah, 521 00:30:57,920 --> 00:31:03,120 Speaker 1: never mind, So sot a problem with yeah, um, but 522 00:31:03,160 --> 00:31:05,600 Speaker 1: that just shows you like they were looking at like, well, 523 00:31:05,640 --> 00:31:07,719 Speaker 1: you know, if Chi goes south, like at least I'm 524 00:31:07,760 --> 00:31:09,280 Speaker 1: taking care of and I get out of here, and 525 00:31:09,320 --> 00:31:12,320 Speaker 1: like that's no. See, that's that's like every CEO of 526 00:31:12,440 --> 00:31:16,280 Speaker 1: like any company that's fucked up. Yeah, that just needs 527 00:31:16,320 --> 00:31:19,320 Speaker 1: to go away. Period. Let me cash smoke bomb myself 528 00:31:19,360 --> 00:31:26,800 Speaker 1: out of you. Yeah. Wild h all right. Trump has 529 00:31:27,240 --> 00:31:30,760 Speaker 1: added a new group that he is discriminating against, and 530 00:31:30,960 --> 00:31:37,760 Speaker 1: it is short king's like Mike Bloomberg, like Michael Savage. No, 531 00:31:37,760 --> 00:31:42,120 Speaker 1: he's not going after Michael Savage, no, like, but he's alienating. Well, 532 00:31:42,160 --> 00:31:46,080 Speaker 1: Michael Savage is a short king, is he? I think? So? 533 00:31:46,600 --> 00:31:48,480 Speaker 1: Isn't that what he's saying? No, no, no, no, no, 534 00:31:48,720 --> 00:31:52,520 Speaker 1: he's just saying, so, I mean Trump loves to go 535 00:31:52,600 --> 00:31:57,000 Speaker 1: after people's height and just generally people things that people 536 00:31:57,040 --> 00:31:59,680 Speaker 1: can't control, you know what I mean, that's his favorite 537 00:31:59,760 --> 00:32:01,600 Speaker 1: thing to do. You know, he did it with Marco 538 00:32:01,720 --> 00:32:05,520 Speaker 1: Rubio in the primary. Then he did it with Bob Corker, 539 00:32:05,520 --> 00:32:07,000 Speaker 1: but he did it with two d's to make it 540 00:32:07,120 --> 00:32:13,040 Speaker 1: more colloquial. He was like little Bob Corker and now Bloomberg, 541 00:32:13,760 --> 00:32:15,400 Speaker 1: which I think he said, what was he calling him? 542 00:32:15,400 --> 00:32:18,479 Speaker 1: Like a five for dead energy or massive dead energy? 543 00:32:19,280 --> 00:32:22,240 Speaker 1: They're getting like real, I feel like they have people 544 00:32:22,440 --> 00:32:25,720 Speaker 1: writing their insults for them, because a five ft four 545 00:32:25,880 --> 00:32:30,440 Speaker 1: massive dead energy is a lot more i don't know, 546 00:32:30,560 --> 00:32:35,480 Speaker 1: descriptive and more sophisticated. Yeah, he seems to have a 547 00:32:35,680 --> 00:32:37,960 Speaker 1: like when he speaks out loud and in person, he 548 00:32:38,000 --> 00:32:42,320 Speaker 1: seems to have a one hundred word vocabulary. Yeah, room 549 00:32:42,400 --> 00:32:46,440 Speaker 1: just for his insults, right, well define the rooms improving. Yeah. 550 00:32:46,960 --> 00:32:51,760 Speaker 1: Then Michael Bloomberg was like, you're a carnival barking, like 551 00:32:51,800 --> 00:32:58,320 Speaker 1: all right, it just seems like very w wordy and overwritten. Yeah. Yeah, 552 00:32:58,360 --> 00:33:02,320 Speaker 1: well he's claiming five for Bloomy has a doctor's note 553 00:33:02,640 --> 00:33:06,920 Speaker 1: that said he's five seven Okay, so get the records straight. Um. 554 00:33:06,960 --> 00:33:09,840 Speaker 1: But yeah, So Michael Savage, who's you know, one of 555 00:33:09,840 --> 00:33:12,880 Speaker 1: the presidents raw ra radio personality, likes to you know, 556 00:33:13,280 --> 00:33:17,720 Speaker 1: get get the president's back. He does not like this. Um. 557 00:33:17,760 --> 00:33:21,640 Speaker 1: He says it's a bad move because maybe racism. So 558 00:33:21,680 --> 00:33:24,520 Speaker 1: what he said is stop to talking about Trump. He says, 559 00:33:24,520 --> 00:33:27,600 Speaker 1: stop attacking Bloomberg's height. This is what he tweeted. Quote. 560 00:33:27,600 --> 00:33:31,000 Speaker 1: It's a losing position. And millions of Hispanic immigrants vote. 561 00:33:31,280 --> 00:33:36,160 Speaker 1: Many are shorter than Bloomberg. Okay, that's way that's way 562 00:33:36,200 --> 00:33:41,080 Speaker 1: worse than him being short. His take is, yeah, you're 563 00:33:41,120 --> 00:33:44,360 Speaker 1: gonna lose the Hispanic vote by top because they're all short. 564 00:33:45,000 --> 00:33:47,240 Speaker 1: So if you talk about him being short, that will 565 00:33:47,280 --> 00:33:52,080 Speaker 1: turn them off because that's that's that's On the other hands, 566 00:33:53,080 --> 00:33:55,680 Speaker 1: my instincts were not totally wrong. I guess I'll tell 567 00:33:55,720 --> 00:34:04,440 Speaker 1: Michael Savages seven four. So then he so then he 568 00:34:04,600 --> 00:34:07,800 Speaker 1: used racism as a smoke screen for his own ego. Right, 569 00:34:08,080 --> 00:34:10,600 Speaker 1: he's because I'm fine with my height, right, I'm but 570 00:34:10,719 --> 00:34:14,120 Speaker 1: they might not be because I'm not. The strategy here 571 00:34:14,200 --> 00:34:16,920 Speaker 1: is really not clear. It's a losing I'm saying your 572 00:34:17,000 --> 00:34:20,080 Speaker 1: racism is a losing position his show or maybe it's 573 00:34:20,080 --> 00:34:22,120 Speaker 1: a winning I used to like hear his show just 574 00:34:22,440 --> 00:34:26,040 Speaker 1: like ambiently in Missouri when I lived there, and it 575 00:34:26,480 --> 00:34:32,319 Speaker 1: is the most poisonous, like straightforward, like just makes Rush 576 00:34:32,440 --> 00:34:36,480 Speaker 1: Limbos seem like he's Mark Marin, like just yeah, whoa 577 00:34:36,840 --> 00:34:39,719 Speaker 1: next level ship. I mean I've only heard clips, but yeah, 578 00:34:39,760 --> 00:34:42,360 Speaker 1: I didn't didn't grow up listening to him like you, 579 00:34:42,560 --> 00:34:46,080 Speaker 1: So I didn't grow up. This was like ten years 580 00:34:46,120 --> 00:34:50,200 Speaker 1: ago when I lived there with my wife. We didn't 581 00:34:51,040 --> 00:34:53,880 Speaker 1: or like it would be on just randomly on like 582 00:34:54,160 --> 00:34:58,200 Speaker 1: any place you were in. Yeah, and his voice is 583 00:34:58,320 --> 00:35:01,080 Speaker 1: very strange, so you would just it stands out and 584 00:35:01,160 --> 00:35:03,200 Speaker 1: then you listen to what he's saying and it's it 585 00:35:03,400 --> 00:35:06,200 Speaker 1: is hateful. Yeah, well I mean look it his take here. 586 00:35:06,719 --> 00:35:09,319 Speaker 1: Just and then also like on like Reddit, people were 587 00:35:09,360 --> 00:35:12,640 Speaker 1: like being like, yeah, this is stupid. Trump's talking about 588 00:35:12,640 --> 00:35:15,080 Speaker 1: short people. There's like a whole short in cells like 589 00:35:15,160 --> 00:35:18,680 Speaker 1: short cells Subreddit and uh. But then they were even 590 00:35:18,719 --> 00:35:21,160 Speaker 1: talking about like is Bloomberg even short enough to be 591 00:35:21,360 --> 00:35:24,319 Speaker 1: like in the short person conversation. It's it's caused all 592 00:35:24,440 --> 00:35:27,680 Speaker 1: kinds of talk amongst the world. But yeah, I mean 593 00:35:27,719 --> 00:35:31,160 Speaker 1: I think also just again with for Trump sort of 594 00:35:31,239 --> 00:35:33,840 Speaker 1: reinforcing this like toxic stereotype that you have to be 595 00:35:34,080 --> 00:35:37,120 Speaker 1: large of stature to be a leader or someone is 596 00:35:37,160 --> 00:35:40,080 Speaker 1: just is ridiculous. Also coming from somebody who wears lifts 597 00:35:41,000 --> 00:35:45,920 Speaker 1: to get taller. Yes, that's fully factual, because look what 598 00:35:45,960 --> 00:35:50,200 Speaker 1: he is. No, look at there there are pictures of him. 599 00:35:50,320 --> 00:35:52,440 Speaker 1: Is he like Will Smith sixth one, where he's actually 600 00:35:52,560 --> 00:35:56,359 Speaker 1: like five ten, But like because he's famous, he gets 601 00:35:56,440 --> 00:35:58,880 Speaker 1: to make up his height. Uh No, I mean he 602 00:35:59,000 --> 00:36:02,160 Speaker 1: said in his like like physical he's like six two 603 00:36:02,320 --> 00:36:05,279 Speaker 1: or three, isn't he? Um? But when you look at him, 604 00:36:05,280 --> 00:36:07,560 Speaker 1: there's plenty of photos standing actually people who are six one. 605 00:36:08,200 --> 00:36:11,759 Speaker 1: He is the same heights sometimes shorter so and then 606 00:36:11,920 --> 00:36:13,319 Speaker 1: a lot of the times they say when you see 607 00:36:13,400 --> 00:36:15,960 Speaker 1: him walk, like have this weird posture where he's leaning 608 00:36:16,040 --> 00:36:20,480 Speaker 1: forward because of his healed shoes. But again but he 609 00:36:20,640 --> 00:36:24,680 Speaker 1: but don't ask Trump about his hype. He's short. I 610 00:36:24,840 --> 00:36:28,080 Speaker 1: do think they're they're famous, Like every famous person you 611 00:36:28,200 --> 00:36:34,200 Speaker 1: see in Hollywood is shorter than they are presented to 612 00:36:34,440 --> 00:36:36,640 Speaker 1: you in the public. Right. Well, because that's just sort 613 00:36:36,680 --> 00:36:39,000 Speaker 1: of the stereotype that they like to reinforce. It's like 614 00:36:39,040 --> 00:36:44,560 Speaker 1: you can't be five seven and tough. Yeah f three. No, 615 00:36:44,760 --> 00:36:48,400 Speaker 1: he's actually tall, like they're tall ones. But uh no, 616 00:36:48,520 --> 00:36:51,360 Speaker 1: but it's just but it shows that his insecurity around 617 00:36:51,440 --> 00:36:53,560 Speaker 1: height and how much that matters to Trump too, because 618 00:36:53,560 --> 00:36:55,239 Speaker 1: when he meets other leaders, he likes to put on 619 00:36:55,360 --> 00:36:57,400 Speaker 1: his big boy shoes and like just to try and 620 00:36:57,480 --> 00:37:01,680 Speaker 1: tower over them literally likes to like just pull them 621 00:37:01,760 --> 00:37:05,359 Speaker 1: around like a rag doll. Like that's he's he's he's 622 00:37:05,400 --> 00:37:09,240 Speaker 1: a simple man with simple pleasures. Uh. Let's talk about 623 00:37:10,040 --> 00:37:14,680 Speaker 1: just another way that the Trump administration has taken everything 624 00:37:14,920 --> 00:37:20,480 Speaker 1: that was historically corrupt about the Knicks administration and just 625 00:37:21,200 --> 00:37:24,799 Speaker 1: been like that's that's nothing. We can turn that all 626 00:37:24,840 --> 00:37:29,320 Speaker 1: the way ship. So Saturday Night massacre was when Nixon 627 00:37:29,360 --> 00:37:34,319 Speaker 1: started firing people who were part of the Watergate investigation 628 00:37:34,400 --> 00:37:37,120 Speaker 1: and part of like you know, making it hot for him, 629 00:37:37,640 --> 00:37:40,680 Speaker 1: and Trump got acquitted for doing things that were far 630 00:37:40,719 --> 00:37:45,920 Speaker 1: worse than Watergate. Uh, and now he is just doing 631 00:37:46,200 --> 00:37:51,960 Speaker 1: a long, slow motion, uh, fully public Saturday Night massacre 632 00:37:52,080 --> 00:37:57,480 Speaker 1: where he's just firing and punishing anybody who had anything 633 00:37:57,560 --> 00:38:00,920 Speaker 1: to do with, you know, pissing him off. Like so 634 00:38:01,400 --> 00:38:05,440 Speaker 1: you know, there's Jesse Lou who actually just resigned. Um. 635 00:38:05,719 --> 00:38:08,640 Speaker 1: She was working at d o J and was looking like, 636 00:38:08,760 --> 00:38:11,239 Speaker 1: you know, she was hand picked, I believe by Trump 637 00:38:11,360 --> 00:38:15,000 Speaker 1: to look into the actions of former FBI Director Andrew 638 00:38:15,080 --> 00:38:18,840 Speaker 1: McCabe and then uh, you know, she was suddenly like 639 00:38:19,320 --> 00:38:22,320 Speaker 1: off the Uh, she was like off a lot of 640 00:38:22,360 --> 00:38:25,440 Speaker 1: these cases out of nowhere because she also said like 641 00:38:25,719 --> 00:38:29,000 Speaker 1: in her in her investigations, like not there's nothing untoward 642 00:38:29,120 --> 00:38:32,480 Speaker 1: that happened with Andrew McCabe. Um, then she's taken off 643 00:38:32,560 --> 00:38:34,960 Speaker 1: these cases like she was also in charge of like 644 00:38:35,040 --> 00:38:38,440 Speaker 1: Stone Roger Stone's case, Flynn's case. Uh. The day she 645 00:38:38,520 --> 00:38:41,239 Speaker 1: was kicked off those cases, d o J recommended that 646 00:38:41,400 --> 00:38:45,200 Speaker 1: Flynn get minimum jail to minimal jail time because before 647 00:38:45,280 --> 00:38:47,440 Speaker 1: that she was like leading the charge against him. Um. 648 00:38:47,560 --> 00:38:50,200 Speaker 1: But they're like it's all good because actually we're actually 649 00:38:50,280 --> 00:38:52,760 Speaker 1: the reason she's off those is we're shifting her to Treasury, 650 00:38:53,040 --> 00:38:56,040 Speaker 1: to the Treasury Department so she could be an undersecretary 651 00:38:56,160 --> 00:39:00,520 Speaker 1: that you know, handles terrorism and financial crimes and the job. Yeah, 652 00:39:00,560 --> 00:39:03,600 Speaker 1: that's a huge job. But wait no, because right after 653 00:39:03,960 --> 00:39:07,600 Speaker 1: Trump pulled her nomination and was like no, that's not happening, 654 00:39:07,719 --> 00:39:10,520 Speaker 1: so she resigned. She's like this is an absolute like 655 00:39:10,680 --> 00:39:12,000 Speaker 1: this is what they want, you know what I mean, 656 00:39:12,120 --> 00:39:14,480 Speaker 1: Like that's how, this is how the punishments are happening. 657 00:39:14,680 --> 00:39:17,120 Speaker 1: The other thing came from Elaine McCusker, who showed up 658 00:39:17,120 --> 00:39:20,560 Speaker 1: a lot during the impeachment investigation UM, because she was 659 00:39:20,640 --> 00:39:23,640 Speaker 1: at the Pentagon and she was like directly interacting with 660 00:39:23,760 --> 00:39:26,000 Speaker 1: people in the White House, Like when they were saying 661 00:39:26,040 --> 00:39:28,560 Speaker 1: to hold up ship, she was like, I'm speechless. Was 662 00:39:28,600 --> 00:39:30,880 Speaker 1: like was one of her responses to them, like holding 663 00:39:30,960 --> 00:39:33,000 Speaker 1: up the aid like because she was basically trying to 664 00:39:33,080 --> 00:39:35,880 Speaker 1: make sure no one breaks the law. She's like, we 665 00:39:35,960 --> 00:39:38,600 Speaker 1: can't do this, this is not right and told him 666 00:39:38,680 --> 00:39:42,560 Speaker 1: that was told that she has to. So she was 667 00:39:42,920 --> 00:39:47,560 Speaker 1: UM basically up for the comptroller in chief Financial officer 668 00:39:47,680 --> 00:39:51,640 Speaker 1: position at the Pentagon. Again, the White House is going 669 00:39:51,760 --> 00:39:55,360 Speaker 1: to probably pull her nomination to do that. Also, everybody 670 00:39:55,480 --> 00:39:57,880 Speaker 1: was up for all of these things. Yeah, and it's 671 00:39:57,920 --> 00:40:00,759 Speaker 1: like what were they up for it? And it's just 672 00:40:01,000 --> 00:40:03,880 Speaker 1: you know, all the you know, retribution retaliation is playing out. 673 00:40:03,920 --> 00:40:05,560 Speaker 1: I mean, we talked about Vin Men and other people 674 00:40:05,600 --> 00:40:09,040 Speaker 1: as well who have been unceremoniously kicked out UM and 675 00:40:09,160 --> 00:40:11,040 Speaker 1: he was even asking like, well, maybe the military will 676 00:40:11,040 --> 00:40:16,280 Speaker 1: punish him. I don't know. I mean, it's full on authoritarian. 677 00:40:17,920 --> 00:40:22,200 Speaker 1: If he could get a firing squaddy, he'd probably creates 678 00:40:22,239 --> 00:40:26,600 Speaker 1: some like weird like jail island, like a new Australia colony. 679 00:40:26,680 --> 00:40:29,160 Speaker 1: Who was saying, like, we didn't fire women because of that. 680 00:40:29,280 --> 00:40:32,520 Speaker 1: We're not like some sort of third world banana republic. 681 00:40:33,239 --> 00:40:36,080 Speaker 1: It was like somebody works in the Trump administrator whose 682 00:40:36,160 --> 00:40:39,440 Speaker 1: name you recognize, and it's like, wait, do you not 683 00:40:39,600 --> 00:40:45,279 Speaker 1: realize you are you are doing that exact thing. But 684 00:40:45,360 --> 00:40:47,320 Speaker 1: I guess the cognitive distance of over there is just 685 00:40:47,440 --> 00:40:50,920 Speaker 1: so intense that it's just basically like their haters literally 686 00:40:51,040 --> 00:40:53,279 Speaker 1: over there, like you're pointing to the White House out 687 00:40:53,360 --> 00:40:56,920 Speaker 1: the window, that they're just haters, and that's that's like, well, 688 00:40:56,960 --> 00:40:58,799 Speaker 1: we gotta get rid of them because they're haters. It's 689 00:40:58,840 --> 00:41:01,960 Speaker 1: not because we're looking at it objectively where they followed 690 00:41:02,200 --> 00:41:05,880 Speaker 1: like a subpoena and honored the law and did what 691 00:41:06,000 --> 00:41:08,239 Speaker 1: their duty was because they are you know, they have 692 00:41:08,360 --> 00:41:12,279 Speaker 1: a duty to the constitution the country. But no people 693 00:41:12,320 --> 00:41:16,200 Speaker 1: who follow the law, And that's what scary is Like Eventually, 694 00:41:16,360 --> 00:41:18,640 Speaker 1: as these people leave a resign, it's like they're just 695 00:41:18,680 --> 00:41:22,320 Speaker 1: gonna be more ship heels installed in these positions and 696 00:41:22,880 --> 00:41:24,640 Speaker 1: the full I mean it's already I mean with with 697 00:41:24,800 --> 00:41:26,560 Speaker 1: Bill Barrett, the head of the d o J, like, 698 00:41:26,640 --> 00:41:33,040 Speaker 1: it's already pretty much there. Um, So it's hey, you 699 00:41:33,160 --> 00:41:37,920 Speaker 1: hate to see it, you really fucking do. It's really disheartening. Yeah, alright, 700 00:41:38,080 --> 00:41:43,279 Speaker 1: let's move on to the coronavirus. So one thing that 701 00:41:43,360 --> 00:41:45,799 Speaker 1: I just wanted to say up front, because I think 702 00:41:45,880 --> 00:41:48,200 Speaker 1: this is something that I is definitely something I had 703 00:41:48,239 --> 00:41:50,440 Speaker 1: been researching, and I might have even said it, like 704 00:41:50,680 --> 00:41:55,480 Speaker 1: just trying to compare it to the flu, to influenza 705 00:41:55,640 --> 00:41:59,640 Speaker 1: in terms of how deadly it is too, like if 706 00:41:59,680 --> 00:42:03,040 Speaker 1: you match it essentially like on a one to one basis. 707 00:42:03,160 --> 00:42:07,760 Speaker 1: I was very curious about that, and the answer is basically, 708 00:42:07,840 --> 00:42:11,920 Speaker 1: we don't know. But there were a lot of articles 709 00:42:12,160 --> 00:42:14,960 Speaker 1: in the I think it was probably like a week 710 00:42:15,080 --> 00:42:17,160 Speaker 1: or a week and a half ago that we're like, 711 00:42:17,400 --> 00:42:22,120 Speaker 1: don't worry so much about this, it's just a sensationalist story. Uh, 712 00:42:22,480 --> 00:42:25,359 Speaker 1: it's no more deadly than the common flu. And if 713 00:42:25,400 --> 00:42:28,560 Speaker 1: you live in America flu, the flu is more of 714 00:42:28,640 --> 00:42:33,480 Speaker 1: a danger to you. And that's actually like a very 715 00:42:33,800 --> 00:42:38,719 Speaker 1: dangerous thing in general. To do because it's just like 716 00:42:38,880 --> 00:42:42,239 Speaker 1: apples and oranges. Uh, the coronavirus is something that we 717 00:42:42,560 --> 00:42:47,400 Speaker 1: don't understand at all yet and it's spreading really fast 718 00:42:47,719 --> 00:42:52,279 Speaker 1: and we have nothing to combat it. Uh. So that's uh. 719 00:42:52,760 --> 00:42:55,719 Speaker 1: Somebody wrote an article where they were like, yeah, that's 720 00:42:55,760 --> 00:43:00,600 Speaker 1: not you can't compare the two because it's it a 721 00:43:01,080 --> 00:43:04,600 Speaker 1: whole other thing. And this is like there outbreaks of 722 00:43:04,719 --> 00:43:09,480 Speaker 1: new pathogens is its own issue, and in fact, World 723 00:43:09,520 --> 00:43:13,560 Speaker 1: Health Organization funding has been cut for that recently, and 724 00:43:13,800 --> 00:43:17,600 Speaker 1: so we're under prepared, which is leading to this being 725 00:43:17,640 --> 00:43:20,120 Speaker 1: a bigger problem than it needed to be. That's what 726 00:43:20,239 --> 00:43:21,719 Speaker 1: I was going to say. Like I used to work 727 00:43:21,800 --> 00:43:24,080 Speaker 1: for literally around the corner from here, the American Public 728 00:43:24,160 --> 00:43:27,600 Speaker 1: Health Association, and like this was before the Trump administration, 729 00:43:27,680 --> 00:43:31,719 Speaker 1: and we always talked about how like chronically underfunded like 730 00:43:31,960 --> 00:43:35,080 Speaker 1: public health programs are like across the nation, and so 731 00:43:35,360 --> 00:43:38,360 Speaker 1: now you have this outbreak that's happening, and I'm just like, 732 00:43:38,800 --> 00:43:42,040 Speaker 1: do we do any of our local public health departments 733 00:43:42,120 --> 00:43:45,040 Speaker 1: even have the resources? Like they didn't have the resources 734 00:43:45,080 --> 00:43:48,400 Speaker 1: when I was working there, and I was different sixteen, 735 00:43:48,600 --> 00:43:51,360 Speaker 1: So I can't even imagine what it's like, you know, 736 00:43:51,680 --> 00:43:54,600 Speaker 1: on a state level or local level, you know, if 737 00:43:54,800 --> 00:43:57,960 Speaker 1: you have one of these outbreaks happening in your especially 738 00:43:58,080 --> 00:44:00,759 Speaker 1: like these proposed budget cuts too for like health and 739 00:44:00,840 --> 00:44:02,520 Speaker 1: like the sea scenes like yeah, in the middle of 740 00:44:02,600 --> 00:44:06,319 Speaker 1: a global health crisis. Really smart. Yeah. And I think 741 00:44:06,360 --> 00:44:09,120 Speaker 1: the other thing too is like it's you know, they're 742 00:44:09,239 --> 00:44:12,040 Speaker 1: the approaches that they're using are kind of like old school, 743 00:44:12,080 --> 00:44:16,160 Speaker 1: like quarantining and things like that. I mean what we've got, yeah, 744 00:44:16,480 --> 00:44:18,480 Speaker 1: like from the eighteen hundreds. Yeah, you know what I 745 00:44:18,520 --> 00:44:23,680 Speaker 1: mean on a ship right exactly. And I think too 746 00:44:23,800 --> 00:44:26,440 Speaker 1: that the what happens when it gets to some of 747 00:44:26,480 --> 00:44:29,960 Speaker 1: the surrounding countries like mean mar or like the Philippines 748 00:44:30,040 --> 00:44:32,319 Speaker 1: and versus like that, who do not have robust health 749 00:44:32,400 --> 00:44:35,160 Speaker 1: systems and what what are their resources to handle something 750 00:44:35,280 --> 00:44:38,160 Speaker 1: like that there as well. So that's where there's there's 751 00:44:38,280 --> 00:44:41,239 Speaker 1: so many moving pieces to this that are just absolutely 752 00:44:41,480 --> 00:44:44,239 Speaker 1: you know, they can be a little unnerving, yeah, I mean. 753 00:44:44,840 --> 00:44:49,360 Speaker 1: The article was pointing out that this outbreak has grown 754 00:44:49,400 --> 00:44:52,160 Speaker 1: from two hundred and eighty two on January one, when 755 00:44:52,200 --> 00:44:54,400 Speaker 1: we first started talking about it on the show, to 756 00:44:54,719 --> 00:44:57,840 Speaker 1: thirty one thousand, two hundred and eleven on February seven, 757 00:44:58,160 --> 00:45:00,520 Speaker 1: when that article that was making the point like this 758 00:45:00,719 --> 00:45:04,480 Speaker 1: is too dangerous, you can't compare to the flu, and 759 00:45:05,200 --> 00:45:08,320 Speaker 1: currently there's sixty four thousand a week later. So it 760 00:45:08,400 --> 00:45:11,200 Speaker 1: went from it's just growing exponentially. I mean that's what 761 00:45:11,719 --> 00:45:15,680 Speaker 1: like this is recently what viral means. Yeah, recently though 762 00:45:15,719 --> 00:45:19,080 Speaker 1: two they did rought in like the sort of diagnosis 763 00:45:20,080 --> 00:45:22,759 Speaker 1: checklist to really make sure they were like as safe 764 00:45:22,800 --> 00:45:24,759 Speaker 1: as possible. But yeah, I mean, but that's what you 765 00:45:24,880 --> 00:45:27,120 Speaker 1: need to do if you're really trying to sort of 766 00:45:27,200 --> 00:45:30,000 Speaker 1: get get control of this. Yeah, like a like a 767 00:45:30,120 --> 00:45:33,680 Speaker 1: wide like a pretty much like a disinformation campaign in China, 768 00:45:33,760 --> 00:45:35,480 Speaker 1: Like they were basically trying to hide the fact that 769 00:45:35,560 --> 00:45:38,440 Speaker 1: this was even Yeah, so that's something that's kind of scary. 770 00:45:38,600 --> 00:45:42,040 Speaker 1: There's so there was this doctor, a thirty four year 771 00:45:42,040 --> 00:45:45,560 Speaker 1: old doctor in China who was one of the first 772 00:45:45,600 --> 00:45:49,280 Speaker 1: people to spread news about the illness back in December thirtieth. 773 00:45:49,320 --> 00:45:50,680 Speaker 1: He was like, this is really bad. We don't know 774 00:45:50,760 --> 00:45:54,760 Speaker 1: what it is, and it's like very contagious being passed 775 00:45:54,840 --> 00:45:57,920 Speaker 1: from person to person. We thought you can only get 776 00:45:57,960 --> 00:46:02,480 Speaker 1: it from like an animal. Basically, Yeah, um, it got 777 00:46:02,520 --> 00:46:05,239 Speaker 1: back to the government. They called him in and made 778 00:46:05,320 --> 00:46:09,480 Speaker 1: him sign a letter that said he was guilty of rumormongering. Uh. 779 00:46:09,640 --> 00:46:14,640 Speaker 1: And then he died of the disease uh or quote 780 00:46:14,840 --> 00:46:18,880 Speaker 1: of the disease, depending on your perspective. But um, there's 781 00:46:18,960 --> 00:46:23,480 Speaker 1: also all these people who have had you know, videos 782 00:46:23,560 --> 00:46:26,920 Speaker 1: go like go viral. Like that's a bad way of 783 00:46:27,000 --> 00:46:31,000 Speaker 1: putting it of. You know, China doing like really drastic 784 00:46:31,080 --> 00:46:33,840 Speaker 1: things to try and cut down on the outbreak and 785 00:46:34,480 --> 00:46:37,960 Speaker 1: you know, quarantining people and you know they've just taken 786 00:46:38,040 --> 00:46:41,480 Speaker 1: videos on their phone and those videos have gone viral yea, 787 00:46:43,239 --> 00:46:47,799 Speaker 1: and those people are now disappearing, the people who are 788 00:46:47,920 --> 00:46:50,680 Speaker 1: like getting the word out and people are you know, 789 00:46:51,560 --> 00:46:54,920 Speaker 1: in a situation like this, that's something to consider. In 790 00:46:55,000 --> 00:47:00,120 Speaker 1: a situation where there's a viral outbreak. It gives the 791 00:47:00,520 --> 00:47:04,160 Speaker 1: like an authoritarian government that doesn't actually you know that 792 00:47:04,400 --> 00:47:09,880 Speaker 1: is has dark motivations. It gives them cover to be like, no, 793 00:47:10,040 --> 00:47:13,000 Speaker 1: we just quarantined to those people. Yeah they're in quarantine. 794 00:47:13,280 --> 00:47:16,200 Speaker 1: That's like they can just do whatever, Like China can 795 00:47:16,280 --> 00:47:18,800 Speaker 1: already do whatever the funk they want, but like this 796 00:47:19,000 --> 00:47:21,640 Speaker 1: gives them extra you know, in the chaos of a 797 00:47:21,760 --> 00:47:25,680 Speaker 1: viral outbreak, that gives you extra cover to just treat 798 00:47:25,880 --> 00:47:30,960 Speaker 1: your citizens however you want to. So yeah, it's really scary, 799 00:47:31,800 --> 00:47:35,640 Speaker 1: and like you said, the surrounding countries that don't have 800 00:47:35,760 --> 00:47:40,719 Speaker 1: the infrastructure that China has, it's pretty we just need 801 00:47:40,800 --> 00:47:45,480 Speaker 1: to pay attention for and like help them as much 802 00:47:45,520 --> 00:47:49,400 Speaker 1: as we can as as this continues to develop or 803 00:47:49,480 --> 00:47:51,920 Speaker 1: wilber Ross is probably there, like it's but it's pretty 804 00:47:51,960 --> 00:47:57,080 Speaker 1: good for the American competition because it has started to 805 00:47:57,120 --> 00:48:01,960 Speaker 1: actually take like disrupt things. Like you know, the China 806 00:48:02,120 --> 00:48:04,360 Speaker 1: is the second largest economy in the world. They're like 807 00:48:04,560 --> 00:48:07,920 Speaker 1: vital to the supply chains of nearly every industry. And 808 00:48:08,040 --> 00:48:13,120 Speaker 1: that's also a game because suddenly we will revive the 809 00:48:13,800 --> 00:48:18,680 Speaker 1: industry to the manufacturing sector. Here, global tourism has taken 810 00:48:18,920 --> 00:48:22,600 Speaker 1: a eighty billion dollar hit and it will take a 811 00:48:22,719 --> 00:48:26,840 Speaker 1: year too rebound from the effects of the Corona virus 812 00:48:26,880 --> 00:48:30,560 Speaker 1: outbreak just like two this point, like not you know, 813 00:48:30,760 --> 00:48:33,480 Speaker 1: that's assuming that it just went away right now, so 814 00:48:33,560 --> 00:48:35,200 Speaker 1: I don't even know if it's even worth it. Like 815 00:48:35,480 --> 00:48:39,040 Speaker 1: cruise ships are already a bastion for disease, but like 816 00:48:39,160 --> 00:48:43,480 Speaker 1: before the coronavirus, the cruise industry is taking a massive hit, 817 00:48:43,800 --> 00:48:45,920 Speaker 1: like they're they're probably gonna be some companies that go 818 00:48:46,120 --> 00:48:50,600 Speaker 1: under just because Yeah, people already were worried about getting 819 00:48:50,680 --> 00:48:53,759 Speaker 1: sick on cruise ships. And now also wealthy people are 820 00:48:53,800 --> 00:48:57,840 Speaker 1: no longer flying commercial. So that's it's good to know 821 00:48:58,040 --> 00:49:00,879 Speaker 1: as I'm about to get on a plane, as we're 822 00:49:00,920 --> 00:49:03,480 Speaker 1: all about to get on a plane, the rich or 823 00:49:03,600 --> 00:49:10,920 Speaker 1: like you are flying commercial, you trying to get sick. Um, 824 00:49:11,160 --> 00:49:13,920 Speaker 1: that's my impression of Brich people. I guess. Anyways, we're 825 00:49:13,920 --> 00:49:26,080 Speaker 1: gonna take a quick break. We'll be right back, and 826 00:49:26,239 --> 00:49:31,160 Speaker 1: we're back, and uh, let's just run through a couple 827 00:49:31,200 --> 00:49:36,480 Speaker 1: of quick stories. Uh, there is an engagement ring that 828 00:49:36,640 --> 00:49:40,799 Speaker 1: is made of crystal pepsi. Is this picture real? Mind? 829 00:49:40,920 --> 00:49:44,200 Speaker 1: This is a real picture. This is the crystal pepsi 830 00:49:44,320 --> 00:49:48,080 Speaker 1: engagement ring. Okay, there started a they started like a 831 00:49:48,160 --> 00:49:53,000 Speaker 1: competition last week where you could have the opportunity to 832 00:49:53,120 --> 00:49:56,879 Speaker 1: have your perfect proposal. And when this engagement ring, which 833 00:49:57,080 --> 00:50:02,120 Speaker 1: has a one and a half carrot lab grown diamond. Yes, 834 00:50:02,239 --> 00:50:03,759 Speaker 1: well you know it's lab grown, baby, so it's not 835 00:50:03,920 --> 00:50:05,799 Speaker 1: like it's you know, it's made in a lab. It's 836 00:50:05,840 --> 00:50:08,160 Speaker 1: not you know, a conflict diamond or something um or 837 00:50:08,280 --> 00:50:11,320 Speaker 1: mind um, And it's made out of real crystal pepsi, 838 00:50:11,400 --> 00:50:12,960 Speaker 1: and I'm like, what the fund does that even mean? 839 00:50:13,000 --> 00:50:16,000 Speaker 1: Apparently what they do is they take legit crystal pepsi, 840 00:50:16,120 --> 00:50:18,719 Speaker 1: they boil it down through it's like most basic or 841 00:50:18,800 --> 00:50:21,320 Speaker 1: just reduce it to the most basic carbon form, and 842 00:50:21,400 --> 00:50:23,960 Speaker 1: then they turn that to a powder. Then that's added 843 00:50:24,000 --> 00:50:26,600 Speaker 1: to the process when their lab growing the diamond, which 844 00:50:26,680 --> 00:50:30,520 Speaker 1: is using like a bit of natural diamond and carbon 845 00:50:30,760 --> 00:50:33,440 Speaker 1: and heat and pressure. It's I don't know, but somehow 846 00:50:33,480 --> 00:50:36,040 Speaker 1: it has crystal pepsi infused in and it's not give 847 00:50:36,040 --> 00:50:38,279 Speaker 1: you lick it, You're gonna be level. Honestly thought it 848 00:50:38,400 --> 00:50:44,560 Speaker 1: was like a rock candy ring like this, it looks 849 00:50:44,600 --> 00:50:46,800 Speaker 1: like a real it looks like a real diamond. I 850 00:50:47,320 --> 00:50:49,520 Speaker 1: mean it is, yeah, it's it's it's it's just the 851 00:50:49,600 --> 00:50:52,160 Speaker 1: process is different of how it arrives there. Um. So 852 00:50:52,320 --> 00:50:54,120 Speaker 1: how like they're you know, you can get into it. 853 00:50:54,160 --> 00:50:57,680 Speaker 1: They want people to like submit their proposal ideas and 854 00:50:57,760 --> 00:51:00,120 Speaker 1: the more out there, it is like you might get 855 00:51:00,160 --> 00:51:03,920 Speaker 1: blessed with this ring. Now I'm not sure what the 856 00:51:04,000 --> 00:51:06,880 Speaker 1: result will be. If you get on one knee and 857 00:51:07,000 --> 00:51:10,120 Speaker 1: you open a box with a crystal pepsi logo on it, yeah, 858 00:51:10,200 --> 00:51:15,560 Speaker 1: the box. There's like, yeah, you get to a white 859 00:51:15,719 --> 00:51:19,160 Speaker 1: ring box and when you open it, the surprise is 860 00:51:19,239 --> 00:51:22,239 Speaker 1: that under the lid there is obviously the ring, but 861 00:51:22,360 --> 00:51:26,040 Speaker 1: then above that the Crystal Pepsi logo. Honestly, I'm not 862 00:51:26,360 --> 00:51:28,759 Speaker 1: I feel like the response you'd get from proposing with 863 00:51:28,880 --> 00:51:32,480 Speaker 1: that is fuck no. Um. But I don't know. I mean, unless, 864 00:51:32,600 --> 00:51:34,440 Speaker 1: like your relationship is based on a shared love of 865 00:51:34,480 --> 00:51:37,800 Speaker 1: Crystal Pepsi, then maybe this is for you. Please record 866 00:51:37,880 --> 00:51:41,120 Speaker 1: that for us so we can watch, because I want 867 00:51:41,160 --> 00:51:43,279 Speaker 1: to see somebody. I would love for the person who 868 00:51:43,320 --> 00:51:45,200 Speaker 1: wins that when they when they put all this money 869 00:51:45,239 --> 00:51:48,520 Speaker 1: in this promo, that the person says no and like says, 870 00:51:48,600 --> 00:51:53,640 Speaker 1: like this is absurd. Your love is they have like 871 00:51:54,440 --> 00:52:01,759 Speaker 1: right now playing behind them? There's no I mean, but 872 00:52:01,840 --> 00:52:05,000 Speaker 1: I love Christa. That was such a fun time. Yeah, 873 00:52:05,200 --> 00:52:08,120 Speaker 1: those those were the days. Those were the days. Was 874 00:52:08,200 --> 00:52:11,200 Speaker 1: that when like the Michael Jackson Dangerous album came out. 875 00:52:11,480 --> 00:52:14,800 Speaker 1: I feel like I associate those times, like the I 876 00:52:14,880 --> 00:52:17,279 Speaker 1: thought Crystal Pepsi was like a couple of years after 877 00:52:17,400 --> 00:52:21,280 Speaker 1: Dangerous Commings one right, okay, but I thought Crystal Pepsi 878 00:52:21,360 --> 00:52:30,080 Speaker 1: was maybe it was discontinued in ninety four, debuted in 879 00:52:30,239 --> 00:52:32,719 Speaker 1: ninety two. Yeah, okay, all right, so yeah that it 880 00:52:32,840 --> 00:52:36,680 Speaker 1: was about the same time. Yeah, like yeah van Halen 881 00:52:37,120 --> 00:52:42,359 Speaker 1: van Halen too. Yeah, man, remember those times, very fond 882 00:52:42,440 --> 00:52:45,239 Speaker 1: like Dton, Ohio. Shout out to Daton, Ohio. That's where 883 00:52:45,239 --> 00:52:51,200 Speaker 1: I live. Alright. Let's talk about Robert Pattinson as the Batman. 884 00:52:51,400 --> 00:52:53,800 Speaker 1: He you know, a lot of people were like, what 885 00:52:54,000 --> 00:52:57,359 Speaker 1: the fund is she gonna? You're going from Twilight? Yeah, 886 00:52:57,560 --> 00:53:02,279 Speaker 1: that's just see a good time. Yeah. Watch it's called acting, right, 887 00:53:02,640 --> 00:53:05,239 Speaker 1: you know that's he's not an affected vampire. But if 888 00:53:05,280 --> 00:53:08,000 Speaker 1: you haven't seen him in anything other than that, I 889 00:53:08,080 --> 00:53:10,400 Speaker 1: could see people being because he's like real, like kind 890 00:53:10,440 --> 00:53:15,120 Speaker 1: of scrawny and like moody and like I'm so conflicted 891 00:53:15,360 --> 00:53:19,840 Speaker 1: about but he's he's a really good actor now and 892 00:53:20,200 --> 00:53:22,680 Speaker 1: there's Yeah, there was a screen test footage that came 893 00:53:22,719 --> 00:53:25,560 Speaker 1: out of him in the suit in a red light. Yeah, 894 00:53:25,920 --> 00:53:27,520 Speaker 1: Like they showed a little bit of the new logo 895 00:53:27,640 --> 00:53:30,800 Speaker 1: in a photography room, Yeah, like development room with the 896 00:53:30,840 --> 00:53:34,880 Speaker 1: red light. I mean he looks like that fucking chin, bro, 897 00:53:35,560 --> 00:53:37,719 Speaker 1: the chin is making it work. Now, you can't have 898 00:53:37,800 --> 00:53:41,080 Speaker 1: a weak chin with that suit. He was recently rated 899 00:53:41,280 --> 00:53:44,720 Speaker 1: like with like a bunch of mathematic equations like drawn 900 00:53:44,840 --> 00:53:47,120 Speaker 1: onto a photograph of him. He was rated as like 901 00:53:47,280 --> 00:53:53,320 Speaker 1: the most symmetrically beautiful man. Um, I have a question 902 00:53:54,680 --> 00:53:59,400 Speaker 1: just like his. He doesn't have lips like he or 903 00:53:59,520 --> 00:54:03,720 Speaker 1: he like barely has lips. He has very thin little lips. 904 00:54:04,280 --> 00:54:06,960 Speaker 1: That's something that I think. It's not a good thing. 905 00:54:07,080 --> 00:54:08,600 Speaker 1: I mean, I don't want to base it off of 906 00:54:08,640 --> 00:54:10,640 Speaker 1: this photo. I see it in this photo. Let me 907 00:54:10,680 --> 00:54:15,000 Speaker 1: look at some more. They're they're I mean, they're not 908 00:54:15,080 --> 00:54:18,680 Speaker 1: like Kenneth Brauna lips lips, but they're just like seating 909 00:54:18,719 --> 00:54:21,600 Speaker 1: in some Photoea, the top lip could use some love, 910 00:54:22,800 --> 00:54:24,640 Speaker 1: is that? But like, is that just not a thing 911 00:54:24,719 --> 00:54:27,520 Speaker 1: people care about? And clearly you like a full lip, 912 00:54:27,640 --> 00:54:33,560 Speaker 1: but like a full lip, like a Michael Keaton full lipping. Yeah, 913 00:54:34,040 --> 00:54:36,759 Speaker 1: does Michael Keaton have good lips? I just noticed lips 914 00:54:36,800 --> 00:54:39,960 Speaker 1: when they're not there, I don't notice like so it's 915 00:54:40,000 --> 00:54:41,920 Speaker 1: more like a threshold. It has to be he has 916 00:54:41,960 --> 00:54:47,080 Speaker 1: good lips. Look at Keaton, Yeah, are pretty full? Yeah? Yeah, 917 00:54:47,200 --> 00:54:49,400 Speaker 1: he looks like he and Jack like, I know he 918 00:54:49,480 --> 00:54:51,279 Speaker 1: does it because I don't know a lot of dude 919 00:54:51,360 --> 00:54:52,920 Speaker 1: actors who do that, but I mean, I don't know, 920 00:54:53,080 --> 00:54:59,279 Speaker 1: it's not like that different comparatively. Yeah, I don't know 921 00:54:59,480 --> 00:55:02,279 Speaker 1: that top lip isn't He's not turning heads with that 922 00:55:02,400 --> 00:55:05,319 Speaker 1: top lip. I notice lips and eyebrows, I think more 923 00:55:05,400 --> 00:55:07,799 Speaker 1: than most people do. Those are things that I pay 924 00:55:07,840 --> 00:55:10,200 Speaker 1: attention and do not look at Michael Keaton's eyebrows now 925 00:55:13,239 --> 00:55:19,640 Speaker 1: all the ways Michael them on too high a guys, 926 00:55:19,760 --> 00:55:23,080 Speaker 1: yea the yeah, I mean this will be I'm really 927 00:55:23,360 --> 00:55:26,799 Speaker 1: interested in this cast that they have for this, but yeah, 928 00:55:26,880 --> 00:55:29,000 Speaker 1: the only time will tell, like what the voice is 929 00:55:29,040 --> 00:55:31,480 Speaker 1: going to be like Becausette. That's like one of the 930 00:55:31,600 --> 00:55:33,840 Speaker 1: main things. It's like when you put the suit on, 931 00:55:34,400 --> 00:55:37,960 Speaker 1: what how gravelly do you get? Is he gonna be like, Hey, 932 00:55:38,040 --> 00:55:43,800 Speaker 1: I'm Batman, just a cool guy like everybody else. I 933 00:55:43,880 --> 00:55:48,400 Speaker 1: might be a billionaire. Um. I thought Affleck had a 934 00:55:48,440 --> 00:55:51,719 Speaker 1: good Batman boy like Affleck was a fine Batman. He 935 00:55:51,880 --> 00:55:55,280 Speaker 1: was just in bad Batman movies like he. I just didn't. 936 00:55:55,560 --> 00:55:58,560 Speaker 1: I yeah, it didn't like he just like felt like 937 00:55:58,680 --> 00:56:01,960 Speaker 1: a fine choice. I watched Batman versus Superman and I 938 00:56:02,080 --> 00:56:05,640 Speaker 1: fell asleep immediate when I wasn't even or nothing. It 939 00:56:05,760 --> 00:56:07,960 Speaker 1: was so bad it was weird, but yeah, I mean 940 00:56:08,000 --> 00:56:09,800 Speaker 1: I didn't have a I never had a problem. It 941 00:56:09,920 --> 00:56:12,680 Speaker 1: just didn't capture my interest. And almost like Ben Affleck 942 00:56:12,800 --> 00:56:15,080 Speaker 1: is Batman just feel like, okay, that kind of makes 943 00:56:15,840 --> 00:56:18,719 Speaker 1: at least for Robert Pattinson, I'm like, what's what is 944 00:56:18,760 --> 00:56:20,960 Speaker 1: this guy gonna do with yea, So maybe there's that 945 00:56:21,080 --> 00:56:24,400 Speaker 1: advantage for that. But when we put like actor reactors 946 00:56:24,840 --> 00:56:28,080 Speaker 1: in as Batman, that usually works out pretty well. Because 947 00:56:28,160 --> 00:56:33,040 Speaker 1: Christian Bale was like he was totally overqualified to be Batman. 948 00:56:33,120 --> 00:56:35,919 Speaker 1: People some people hate his voice. People hated the Bale voice. 949 00:56:36,000 --> 00:56:39,520 Speaker 1: I just I just rewatched I think was the third 950 00:56:39,800 --> 00:56:43,319 Speaker 1: Batman or Dark Knight Rises, and his voice jumps out 951 00:56:43,480 --> 00:56:47,640 Speaker 1: at you. You're like, wait, that's kind of like like 952 00:56:47,760 --> 00:56:49,200 Speaker 1: that's kind of what I would do if I was 953 00:56:49,280 --> 00:56:58,120 Speaker 1: like joking. But he you know, he's making strong choices Batman. Yeah. Yeah, 954 00:56:58,239 --> 00:57:02,560 Speaker 1: it's like it's like a cartoon dog or something. It's 955 00:57:02,640 --> 00:57:10,279 Speaker 1: like all Bain had to do is say all right, 956 00:57:11,520 --> 00:57:13,680 Speaker 1: and then Bain was like, I'm gonna take an inside 957 00:57:13,680 --> 00:57:19,000 Speaker 1: the actor's studio approach with my character. Yeah, Bain is great. 958 00:57:19,320 --> 00:57:24,600 Speaker 1: Band going from Ledgers Joker to Bain, Like those are 959 00:57:24,760 --> 00:57:28,560 Speaker 1: two great villains right in a row. Ah bain, what 960 00:57:28,720 --> 00:57:33,280 Speaker 1: a performance, such great uh acting without the mouth from 961 00:57:33,360 --> 00:57:36,960 Speaker 1: Tom Hardy. He's truly does not want us to see 962 00:57:37,000 --> 00:57:40,680 Speaker 1: his mouth when he acts. Uh. All right. And then 963 00:57:40,760 --> 00:57:45,360 Speaker 1: finally we talked months ago, I think back in September 964 00:57:45,720 --> 00:57:48,880 Speaker 1: about the fact that there was this movie from Damon 965 00:57:48,920 --> 00:57:53,160 Speaker 1: Lindelof coming out called The Hunt. Damon Lindelof, who has 966 00:57:53,320 --> 00:57:58,720 Speaker 1: since this story just completely crushed his reboot of The Watchman, 967 00:57:59,520 --> 00:58:04,240 Speaker 1: uh or of Watchman? What is a Watchman? Watchman? Watchman? Yeah, 968 00:58:04,480 --> 00:58:09,320 Speaker 1: like this called I called it the Discman. Uh is 969 00:58:09,360 --> 00:58:11,960 Speaker 1: a Discman? A Discman? I thought you're just doing it, 970 00:58:12,080 --> 00:58:16,880 Speaker 1: but I noticed people were like reacting weirdly and heads 971 00:58:16,880 --> 00:58:23,160 Speaker 1: were turning in the audience. Yeah. Uh of the Yeah. Anyways, 972 00:58:23,800 --> 00:58:26,880 Speaker 1: so that movie has been uncancelled. We it was a thing. 973 00:58:27,240 --> 00:58:31,040 Speaker 1: It was just a weird, like dark fantasy of it's 974 00:58:31,080 --> 00:58:33,600 Speaker 1: a It's so the way that the story was released 975 00:58:34,040 --> 00:58:38,440 Speaker 1: back in September described it as a movie about liberals 976 00:58:38,520 --> 00:58:44,920 Speaker 1: hunting quote deplorable, and that that does sound controversial and 977 00:58:45,200 --> 00:58:47,400 Speaker 1: like the sort of thing that I don't know, it 978 00:58:47,440 --> 00:58:51,400 Speaker 1: would be interesting to see Hollywood making that point since 979 00:58:52,200 --> 00:58:57,959 Speaker 1: Hollywood not always great at uh, dramatizing people who don't 980 00:58:58,040 --> 00:59:01,760 Speaker 1: share their political views. I'd be interested to see because 981 00:59:01,760 --> 00:59:04,280 Speaker 1: in that one, the deplorables are the heroes right right 982 00:59:04,480 --> 00:59:07,560 Speaker 1: who have to fight back against right that that that's 983 00:59:07,600 --> 00:59:12,560 Speaker 1: what you would assume. But apparently so they're rereleasing it 984 00:59:12,680 --> 00:59:15,240 Speaker 1: and like leaning on how controversial it is. They're calling 985 00:59:15,280 --> 00:59:17,960 Speaker 1: it on this poster the most talked about movie of 986 00:59:18,040 --> 00:59:22,040 Speaker 1: the year is one nobody's seen yet, uh, and they 987 00:59:22,080 --> 00:59:25,560 Speaker 1: have all these quotes like it's trying to Yeah, it's 988 00:59:25,600 --> 00:59:30,560 Speaker 1: trying to destroy our culture. But it's actually apparently not 989 00:59:31,440 --> 00:59:37,440 Speaker 1: what we thought. It's apparently not really politically partisan. It's 990 00:59:37,600 --> 00:59:42,480 Speaker 1: more about a conspiracy theory that gets away from people. Uh, 991 00:59:42,720 --> 00:59:45,960 Speaker 1: Like a rich lady texts her friends something joking about 992 00:59:46,080 --> 00:59:49,040 Speaker 1: like how they should hunt deplorables, and then there's like 993 00:59:49,120 --> 00:59:53,080 Speaker 1: a Q and on conspiracy that gets going about like 994 00:59:53,240 --> 00:59:57,080 Speaker 1: based on that text, and then it like just gets 995 00:59:57,080 --> 01:00:00,000 Speaker 1: away from them, like a game of telephone yeah, telephone 996 01:00:00,000 --> 01:00:04,480 Speaker 1: on that then turns into like actually people being hunted somehow. 997 01:00:04,720 --> 01:00:06,880 Speaker 1: So it's not just more like an elevated version of 998 01:00:07,400 --> 01:00:10,680 Speaker 1: The Quiet Place. Is that what that movie was? What's 999 01:00:10,680 --> 01:00:13,640 Speaker 1: the Krasinski one. Yeah, the Quiet Place, Yeah, yeah, where 1000 01:00:13,680 --> 01:00:15,800 Speaker 1: that one was sort of like was a little more vague, 1001 01:00:15,880 --> 01:00:18,160 Speaker 1: but maybe being like, don't raise your voice because then 1002 01:00:18,200 --> 01:00:20,640 Speaker 1: the spooky people get you. This one was like, yeah, man, 1003 01:00:20,680 --> 01:00:23,000 Speaker 1: the elites are hunting the deplorables. But I like that. 1004 01:00:23,120 --> 01:00:25,760 Speaker 1: It's so it's taking this sort of more. I thought 1005 01:00:25,760 --> 01:00:28,720 Speaker 1: it was just aggressively like those are the steaks. It's 1006 01:00:28,760 --> 01:00:32,280 Speaker 1: a world where rich people are hunting working people for sport. Yeah, 1007 01:00:32,440 --> 01:00:35,280 Speaker 1: I mean they've made that movie before, Surviving the Game 1008 01:00:35,360 --> 01:00:38,840 Speaker 1: with iced tea right hard target with John club Van 1009 01:00:38,960 --> 01:00:41,160 Speaker 1: dam or just having a job here in this correct 1010 01:00:44,640 --> 01:00:48,600 Speaker 1: um but apparently Yeah, it's just it's not what we 1011 01:00:48,680 --> 01:00:52,920 Speaker 1: all thought it was. Um. And I'll be interested because 1012 01:00:53,160 --> 01:00:58,479 Speaker 1: now Damon Lindelof, I liked season two of Leftovers quite 1013 01:00:58,520 --> 01:01:03,400 Speaker 1: a bit and then now Watchman is uh really made 1014 01:01:03,480 --> 01:01:06,360 Speaker 1: me think he's he's kind of a genius. So I'll 1015 01:01:06,400 --> 01:01:10,320 Speaker 1: be interested to see what he what he comes with. Yeah, 1016 01:01:10,680 --> 01:01:12,720 Speaker 1: I mean it seems I don't know, I need to 1017 01:01:12,720 --> 01:01:14,680 Speaker 1: see like a trailer. I kind of understand how it's 1018 01:01:14,680 --> 01:01:16,880 Speaker 1: being presented. They just did a trailer, so we can 1019 01:01:17,320 --> 01:01:21,760 Speaker 1: that get back to you guys. All right, well this 1020 01:01:21,880 --> 01:01:25,640 Speaker 1: has been so much fun. Natalie, Where can people find you? 1021 01:01:25,800 --> 01:01:29,480 Speaker 1: Follow you? You can follow me on Twitter. You can 1022 01:01:29,520 --> 01:01:34,400 Speaker 1: follow me at at Natalie s McGill. On Instagram, I'm 1023 01:01:34,880 --> 01:01:39,040 Speaker 1: at hoot holler snap h O t h O h 1024 01:01:39,120 --> 01:01:40,960 Speaker 1: O l l E R s n A P. My 1025 01:01:41,040 --> 01:01:43,560 Speaker 1: original Twitter handle was at little Night All. That is 1026 01:01:43,640 --> 01:01:50,760 Speaker 1: why there was owl owl references and yeah, and that watchman. No. 1027 01:01:52,480 --> 01:01:54,320 Speaker 1: I just I like to stay up really late, so 1028 01:01:54,440 --> 01:01:57,080 Speaker 1: that was why I went with that initially, but then 1029 01:01:57,080 --> 01:01:59,440 Speaker 1: I had to change it to my name. Um then uh. 1030 01:01:59,640 --> 01:02:03,000 Speaker 1: And my website is Natalie macguil dot com. Uh. And 1031 01:02:03,400 --> 01:02:07,960 Speaker 1: also I am a correspondent on air correspondent writer for 1032 01:02:08,000 --> 01:02:09,960 Speaker 1: the show Redacted Tonight. So if you want to catch 1033 01:02:10,080 --> 01:02:12,480 Speaker 1: me there, you can catch it at YouTube dot com 1034 01:02:12,600 --> 01:02:16,040 Speaker 1: slash Redacted Tonight. And we have free tapings in d C. 1035 01:02:16,320 --> 01:02:18,360 Speaker 1: If you are in d C and would like to 1036 01:02:18,400 --> 01:02:21,280 Speaker 1: see me perform live or at least a video of me, 1037 01:02:22,040 --> 01:02:25,920 Speaker 1: that is, you can check tickets out at lee camp 1038 01:02:26,040 --> 01:02:29,320 Speaker 1: dot com slash rs VP and they're free. Alright, and 1039 01:02:29,520 --> 01:02:31,760 Speaker 1: is there a tweet or some other work of social 1040 01:02:31,840 --> 01:02:37,520 Speaker 1: media you've been enjoying? Yes? Uh? So Uh. This tweet 1041 01:02:37,640 --> 01:02:40,919 Speaker 1: is from a New York comedian named Caitlin Reese. Really 1042 01:02:41,000 --> 01:02:45,120 Speaker 1: hilarious comic. I met Uh it's like late last year. Um, 1043 01:02:45,160 --> 01:02:47,000 Speaker 1: and I've seen on a couple of visits since I've 1044 01:02:47,000 --> 01:02:50,440 Speaker 1: been up there. And she her handle is at the 1045 01:02:50,520 --> 01:02:54,000 Speaker 1: Caitlin Reeese and on February twelve, she wrote, It's okay 1046 01:02:54,040 --> 01:02:56,880 Speaker 1: to be alone on Valentine's Day, but get your ship 1047 01:02:57,000 --> 01:03:00,840 Speaker 1: together for President's Day. My only form of patriotism is 1048 01:03:00,960 --> 01:03:09,520 Speaker 1: chanting USA mid coit. I highly enjoyed that people find 1049 01:03:09,680 --> 01:03:12,680 Speaker 1: you Twitter, Instagram at Miles of Gray and also my 1050 01:03:12,800 --> 01:03:16,280 Speaker 1: other podcast for twenty Day Fiance for any ninety Day 1051 01:03:16,640 --> 01:03:21,240 Speaker 1: Fiance fans out there, because the show is a beautiful mess. Uh. 1052 01:03:21,400 --> 01:03:24,919 Speaker 1: Some tweets I like from Reductress again. This one says 1053 01:03:25,160 --> 01:03:29,200 Speaker 1: a woman sniffing every candle in store for sense of control. 1054 01:03:34,080 --> 01:03:36,360 Speaker 1: Oh my god, I was I like, I like said 1055 01:03:36,400 --> 01:03:38,320 Speaker 1: it candles, you know what I mean. Sometimes I'll find 1056 01:03:38,360 --> 01:03:40,560 Speaker 1: myself in a place where there are candles and I 1057 01:03:40,640 --> 01:03:43,800 Speaker 1: do notice. Sorry, people who just have to know you 1058 01:03:43,880 --> 01:03:47,280 Speaker 1: got to so you know what, take your control every candle. 1059 01:03:49,360 --> 01:03:51,720 Speaker 1: A couple of tweets I've been enjoying an A Dresum, 1060 01:03:51,800 --> 01:03:56,840 Speaker 1: former Reductress writer, former crack writer, now SNL writer tweeted, 1061 01:03:57,000 --> 01:03:59,880 Speaker 1: you know joker is crazy because he paints his tongue 1062 01:04:00,280 --> 01:04:04,280 Speaker 1: cree exclamation points, and then Danielle Radford tweeted, the devil 1063 01:04:04,360 --> 01:04:08,480 Speaker 1: works hard, but Josh Gazz Management works harder. You can 1064 01:04:08,560 --> 01:04:10,360 Speaker 1: find me on Twitter at Jack Underscore O Brian. You 1065 01:04:10,360 --> 01:04:12,520 Speaker 1: can find us on Twitter at daily zeit Guys. For 1066 01:04:12,600 --> 01:04:16,400 Speaker 1: at the Daily Zeiteguys on Instagram. We have a Facebook 1067 01:04:16,440 --> 01:04:19,160 Speaker 1: fampage and a website, daily ze guys dot com, where 1068 01:04:19,200 --> 01:04:22,480 Speaker 1: we post our episodes and our foot note. We link 1069 01:04:22,560 --> 01:04:24,960 Speaker 1: off to the information that we talked about in today's 1070 01:04:25,000 --> 01:04:29,880 Speaker 1: episode as well as the song we write out on mysh. 1071 01:04:30,000 --> 01:04:33,600 Speaker 1: This one is a little more instrumental hip hop for people. 1072 01:04:34,040 --> 01:04:36,520 Speaker 1: This is from Flow Fills f l O f I 1073 01:04:36,720 --> 01:04:40,800 Speaker 1: l Z is called Blue Orchard Again great great music, 1074 01:04:40,960 --> 01:04:43,480 Speaker 1: just a vibe out to no lyrics, just this nice 1075 01:04:43,600 --> 01:04:47,480 Speaker 1: jazzy sample based pretty much to that not too so coincidental. 1076 01:04:47,560 --> 01:04:52,600 Speaker 1: I love great music. That's like my favorite. Yeah. The 1077 01:04:52,680 --> 01:04:54,880 Speaker 1: Daily zeite Guys is a production by her Radio. For 1078 01:04:54,960 --> 01:04:57,160 Speaker 1: more podcast from my Heart Radio is the I Heart 1079 01:04:57,200 --> 01:05:00,680 Speaker 1: Radio app Apple podcast or wherever you listen to your 1080 01:05:00,680 --> 01:05:04,840 Speaker 1: favorite shows. That is going to do it for today. 1081 01:05:05,200 --> 01:05:07,320 Speaker 1: We will be back this afternoon to tell you what 1082 01:05:07,560 --> 01:05:10,560 Speaker 1: is trending. I hope you guys have a great long weekend. 1083 01:05:11,360 --> 01:05:15,800 Speaker 1: UH Toronto, many athletes Chicago. We're coming to you. Buy 1084 01:05:15,840 --> 01:05:19,280 Speaker 1: some tickets, prepare yourself. You're not gonna want to miss it. 1085 01:05:19,760 --> 01:05:22,440 Speaker 1: This is a really fun show, all right, Talk to 1086 01:05:22,480 --> 01:05:22,880 Speaker 1: you that B