1 00:00:00,120 --> 00:00:03,720 Speaker 1: Hello the Internet, and welcome to Season one, thirty nine, 2 00:00:03,800 --> 00:00:08,320 Speaker 1: Episode one of dir Daily ZiT Gist, a production of 3 00:00:08,520 --> 00:00:11,200 Speaker 1: I Heart Radio. This is the podcast where we take 4 00:00:11,240 --> 00:00:15,080 Speaker 1: a deep dive into America's share consciousness and say, officially, 5 00:00:15,280 --> 00:00:20,200 Speaker 1: off the top, fuck the Koch Brothers, fuck Fox News, 6 00:00:20,680 --> 00:00:30,200 Speaker 1: fuck Rush Limbaugh, fuck fuck Sexton, and fuck j K Rowling. June. 7 00:00:31,000 --> 00:00:35,120 Speaker 1: My name is Jack O'Brien, a k A. No more, 8 00:00:35,760 --> 00:00:45,199 Speaker 1: Mr nice guy Miles Gray Jacob. On the Daily zeit Geist, 9 00:00:46,000 --> 00:00:50,760 Speaker 1: we say fuck Trump. Hee's of c te ah. That 10 00:00:50,880 --> 00:00:55,080 Speaker 1: is courtesy of Washing damn hands, good good advice, and 11 00:00:55,200 --> 00:00:58,600 Speaker 1: I'm thrilled to be joined once again by my co 12 00:00:58,840 --> 00:01:07,280 Speaker 1: host Mr Old grap. So let's defund the cup. Even 13 00:01:07,440 --> 00:01:17,399 Speaker 1: it didn't take all night, let's deepens over abolished them. Right, Okay, 14 00:01:17,440 --> 00:01:21,679 Speaker 1: thank you so much to the one and only at 15 00:01:21,760 --> 00:01:24,560 Speaker 1: Pink Politic Liverpool fan. You know, a shout out to 16 00:01:24,560 --> 00:01:26,960 Speaker 1: all Liverpool fans of Premier League started. My life is 17 00:01:27,000 --> 00:01:29,720 Speaker 1: a disaster since the Premier League started, but that's okay, 18 00:01:29,800 --> 00:01:32,120 Speaker 1: shout out to people doing Okay, thank you for that, 19 00:01:32,160 --> 00:01:34,920 Speaker 1: a k A. I'm ready for the world. I did 20 00:01:34,959 --> 00:01:37,759 Speaker 1: see Arsenal trending and like I now get a pit 21 00:01:37,959 --> 00:01:40,560 Speaker 1: in my stomach when I see arsenal trending because I'm 22 00:01:40,920 --> 00:01:45,360 Speaker 1: damn like, it's just never good news. We're actually we 23 00:01:45,480 --> 00:01:48,480 Speaker 1: are a Simpson's bit, you know, like when Homer was 24 00:01:48,520 --> 00:01:50,960 Speaker 1: in the in the ambulance and then the hit hit 25 00:01:51,000 --> 00:01:53,080 Speaker 1: a tree and he fell at the back of the ambulance, 26 00:01:53,120 --> 00:01:55,520 Speaker 1: and it felt that there was a meme made of 27 00:01:55,640 --> 00:01:59,360 Speaker 1: just since Wednesday, what's happened Our goalkeeper who was by 28 00:01:59,400 --> 00:02:03,200 Speaker 1: far one of our best players horrifically injured his knee 29 00:02:03,200 --> 00:02:04,880 Speaker 1: in the game that I saw live at seven in 30 00:02:04,920 --> 00:02:06,400 Speaker 1: the morning. I was like, I love you, like should 31 00:02:06,400 --> 00:02:09,320 Speaker 1: have been like that, and then immediately like why did 32 00:02:09,320 --> 00:02:12,480 Speaker 1: this even start? I didn't need this paint, but hey, 33 00:02:12,520 --> 00:02:15,520 Speaker 1: people need distractions and I don't need this one. Well, 34 00:02:15,560 --> 00:02:18,799 Speaker 1: we are thrilled to be joined in our third seat, 35 00:02:18,960 --> 00:02:23,760 Speaker 1: all the way from the capital of the world. I 36 00:02:23,800 --> 00:02:28,440 Speaker 1: would say at this point the high point of civilization. Uh, 37 00:02:28,840 --> 00:02:36,119 Speaker 1: he is Mr. The talented, the hilarious Guy Montgomery. Oh 38 00:02:36,160 --> 00:02:41,359 Speaker 1: it's guy, do do do do? Back on the Daily's 39 00:02:41,480 --> 00:02:50,880 Speaker 1: like guys, oh whoa, whoa, yeah, that's right the Daily 40 00:02:51,160 --> 00:02:53,880 Speaker 1: Like that's I got submitted there because the last time 41 00:02:53,919 --> 00:02:55,600 Speaker 1: I did this. I think I just made one up 42 00:02:55,800 --> 00:03:00,160 Speaker 1: and it wasn't standard. Obviously I should have gone the 43 00:03:00,160 --> 00:03:05,200 Speaker 1: false day of my singing volume. Of course, because it 44 00:03:05,280 --> 00:03:08,639 Speaker 1: is six two a ms such as my first my 45 00:03:08,880 --> 00:03:14,240 Speaker 1: unquenchable appetite to discuss Amrian current events. But I would 46 00:03:14,240 --> 00:03:16,799 Speaker 1: like to say a huge thank you to Podge more 47 00:03:16,919 --> 00:03:20,160 Speaker 1: In for submitting that. I think I complained last time, 48 00:03:20,200 --> 00:03:21,840 Speaker 1: and then they sit on and they said try this, 49 00:03:22,320 --> 00:03:26,240 Speaker 1: and I had it save and I really think I 50 00:03:26,280 --> 00:03:30,160 Speaker 1: hit a home run there. Yeah, I think I couldn't 51 00:03:30,200 --> 00:03:34,800 Speaker 1: agree with mail In that Yankee talk my man. Yeah no, yeah, 52 00:03:34,840 --> 00:03:37,320 Speaker 1: that's not even we were We were hit for six 53 00:03:37,360 --> 00:03:41,560 Speaker 1: on that one. Hey, that's that's cricket terminology. I actually 54 00:03:41,600 --> 00:03:44,119 Speaker 1: yesterday I went I had to go to a toy 55 00:03:44,200 --> 00:03:45,680 Speaker 1: store two days ago. I was on my way to 56 00:03:45,720 --> 00:03:48,680 Speaker 1: a fourth birthday party, and we went with my pocket 57 00:03:48,760 --> 00:03:50,640 Speaker 1: stop throwing it in our face that you can go 58 00:03:50,680 --> 00:03:53,120 Speaker 1: to a party where people congregate and then you went 59 00:03:53,160 --> 00:03:57,840 Speaker 1: to a store like it's February. So there is Actually 60 00:03:58,240 --> 00:04:00,440 Speaker 1: I am genuinely sorry about that. Did the care to 61 00:04:00,480 --> 00:04:05,320 Speaker 1: me that this would be so illicit? It's very boring Anyway. 62 00:04:05,560 --> 00:04:07,560 Speaker 1: The long and Short of it is. I went back 63 00:04:07,560 --> 00:04:10,280 Speaker 1: to the toy store the next day by myself the 64 00:04:10,320 --> 00:04:12,360 Speaker 1: best way to shove at the toy store, and I 65 00:04:12,400 --> 00:04:15,440 Speaker 1: found a card game which is a test cricket card game, 66 00:04:15,480 --> 00:04:19,000 Speaker 1: which is like baseball and you can play it as 67 00:04:19,080 --> 00:04:25,440 Speaker 1: one player. Isn't that against You're like Solitaire? But yeah, 68 00:04:25,520 --> 00:04:29,120 Speaker 1: but a sports card game. I know, I'm the coolest. 69 00:04:29,400 --> 00:04:35,600 Speaker 1: I'm the coolest student town. We're in what city in 70 00:04:35,640 --> 00:04:41,159 Speaker 1: New Zealand? Are you in? Auland Auckland, New Zealand? Alright? Best? Yeah, 71 00:04:41,279 --> 00:04:44,520 Speaker 1: best known for the hilarious full House episode where they 72 00:04:44,520 --> 00:04:47,440 Speaker 1: were going to Oakland but some of the kids accidentally 73 00:04:47,440 --> 00:04:52,400 Speaker 1: got on a flight to Auckland. That happened, And yeah, 74 00:04:52,600 --> 00:04:54,720 Speaker 1: I don't think they actually flew the kids to Auckland. 75 00:04:55,560 --> 00:05:00,360 Speaker 1: A full House way more methed than we thought. Man, 76 00:05:00,560 --> 00:05:02,880 Speaker 1: I don't remember that one. And I feel like they 77 00:05:02,880 --> 00:05:06,440 Speaker 1: are only like five seasons of Full House. There's only 78 00:05:06,520 --> 00:05:11,680 Speaker 1: three bits that every episode, so that it seems like 79 00:05:11,760 --> 00:05:15,840 Speaker 1: somewhat avant garde for the full House, like it's really 80 00:05:15,839 --> 00:05:19,839 Speaker 1: pushing boundaries. They're counting on us to be like, oh no, 81 00:05:20,040 --> 00:05:23,120 Speaker 1: that they're watch They're gonna go to Auckland, New Zealand 82 00:05:23,120 --> 00:05:25,159 Speaker 1: and then they're gonna be in trouble. People like the 83 00:05:25,640 --> 00:05:27,400 Speaker 1: how do you spe why spell in Oakland? Like that 84 00:05:28,760 --> 00:05:32,680 Speaker 1: knowlledge that there's a country that's outside of the United 85 00:05:32,680 --> 00:05:37,400 Speaker 1: States seems do you know how ludicrous the impact of 86 00:05:37,400 --> 00:05:41,560 Speaker 1: American media is that even now, when I watched television 87 00:05:41,600 --> 00:05:44,640 Speaker 1: programs from any era or any moment or movies, as 88 00:05:44,680 --> 00:05:47,600 Speaker 1: soon as the characters said to each other, you know, 89 00:05:47,680 --> 00:05:49,200 Speaker 1: they're always like, what are we gonna do? Run away 90 00:05:49,240 --> 00:05:53,120 Speaker 1: to New Zealand? I should go. I still will high 91 00:05:53,200 --> 00:05:55,159 Speaker 1: five whether I'm sitting with nobody, like, yeah, they know 92 00:05:55,200 --> 00:06:01,600 Speaker 1: we're out here. It's like, it's insane. Put you guys 93 00:06:01,640 --> 00:06:09,800 Speaker 1: on the map, well speaking, Yeah, you're a welcome guy. 94 00:06:09,880 --> 00:06:12,800 Speaker 1: You're welcome. I do want to say it's rare that 95 00:06:12,880 --> 00:06:17,600 Speaker 1: I get to see like the season's change in any way. 96 00:06:17,640 --> 00:06:21,480 Speaker 1: But I do notice that it's getting darker over the 97 00:06:21,839 --> 00:06:26,560 Speaker 1: course of having you on the show. Over Quarantine. It's 98 00:06:26,640 --> 00:06:30,240 Speaker 1: now it used to be like sort of hazy, dusky 99 00:06:30,600 --> 00:06:33,800 Speaker 1: morning glow in the background, and now it is pitch dark. 100 00:06:34,080 --> 00:06:36,760 Speaker 1: But you know, Jack the second by the time we end, though, 101 00:06:37,000 --> 00:06:40,040 Speaker 1: it always looks different. Remember what guy looks like now? 102 00:06:40,160 --> 00:06:42,520 Speaker 1: Because like the sun's about to set and I'm always 103 00:06:42,560 --> 00:06:44,320 Speaker 1: like then i feel like I'm getting out of a 104 00:06:44,360 --> 00:06:49,720 Speaker 1: bar from like morning drinking and I'm like it's light out, man, 105 00:06:50,120 --> 00:06:55,240 Speaker 1: surfing around and stuff. Yeah, by the Yeah, can I 106 00:06:55,320 --> 00:07:00,080 Speaker 1: just say fellas lovely to see you, yeah, and know 107 00:07:00,200 --> 00:07:05,039 Speaker 1: my best wishes. I honestly, I was so excited when 108 00:07:05,040 --> 00:07:06,400 Speaker 1: I saw you that you were going to be on 109 00:07:06,440 --> 00:07:08,440 Speaker 1: this show, Like when I looked about a week ago, 110 00:07:08,760 --> 00:07:11,280 Speaker 1: because I was just reading all about New Zealand and 111 00:07:11,320 --> 00:07:14,080 Speaker 1: how you know there was a full on rugby match 112 00:07:14,480 --> 00:07:18,360 Speaker 1: every because you guys did the right thing listen to experts. 113 00:07:18,400 --> 00:07:21,040 Speaker 1: Granted it's a much smaller country, but it was very 114 00:07:21,120 --> 00:07:24,080 Speaker 1: heartening to see an example of like, yeah, listen to 115 00:07:24,120 --> 00:07:26,960 Speaker 1: the experts and then we could very quickly go. But 116 00:07:27,120 --> 00:07:29,000 Speaker 1: if you just will tell you how to get there, 117 00:07:29,600 --> 00:07:32,040 Speaker 1: let's just do that. And I was like, man, this 118 00:07:32,160 --> 00:07:34,320 Speaker 1: kind of feels so good in New Zealand right now 119 00:07:34,320 --> 00:07:36,720 Speaker 1: to just like come out and just hug people and 120 00:07:36,840 --> 00:07:40,520 Speaker 1: screaming each each other's faces like there's no pandemic going on. Well, yeah, 121 00:07:40,560 --> 00:07:42,760 Speaker 1: that was one of the big things we did, is 122 00:07:42,800 --> 00:07:46,920 Speaker 1: that we we followed the rules and uh and now 123 00:07:46,960 --> 00:07:55,680 Speaker 1: we we sort of road free. Yeah, I mean we 124 00:07:56,680 --> 00:08:00,360 Speaker 1: our government employees people called scientists. And these guys, now, 125 00:08:00,400 --> 00:08:03,640 Speaker 1: these scientists, it's their job to do all the work, 126 00:08:04,080 --> 00:08:11,280 Speaker 1: um like from Star Trek scientists. Yeah, zealand Yeah. While 127 00:08:11,320 --> 00:08:13,480 Speaker 1: the scientists will see it, here's what we're gonna do. 128 00:08:15,760 --> 00:08:20,680 Speaker 1: And then and then the scientist see it's good to go, scientists. 129 00:08:21,320 --> 00:08:26,600 Speaker 1: You guys are going to look into this game game changes. 130 00:08:26,880 --> 00:08:31,040 Speaker 1: Get into this science thing. Guys, get into that. Um 131 00:08:31,440 --> 00:08:32,920 Speaker 1: all right, guy, we're gonna get to know you a 132 00:08:33,040 --> 00:08:34,920 Speaker 1: little bit better in a moment. First, we're gonna tell 133 00:08:34,920 --> 00:08:37,439 Speaker 1: our listeners a couple of things we're talking about. We 134 00:08:37,559 --> 00:08:42,079 Speaker 1: of course have to talk about the Tulsa rally, the 135 00:08:42,559 --> 00:08:47,320 Speaker 1: big Trump Maga rally. That wasn't a big Trump Maga rally. Really, 136 00:08:47,400 --> 00:08:50,520 Speaker 1: it was like a small little gathering. We're gonna talk 137 00:08:50,520 --> 00:08:55,160 Speaker 1: about who was responsible for there being not such a 138 00:08:55,400 --> 00:08:59,240 Speaker 1: massive rally this time around. I think they were expecting. 139 00:08:59,520 --> 00:09:03,400 Speaker 1: They said the lowest estimate heading into the Magarelli with 140 00:09:03,520 --> 00:09:06,960 Speaker 1: sixty thousand people. They claimed that there were a million 141 00:09:07,880 --> 00:09:13,280 Speaker 1: requests to reserve tickets. Uh, and they had six thousand people, 142 00:09:13,840 --> 00:09:17,880 Speaker 1: which is you'll notice far lower than that, so we'll 143 00:09:17,920 --> 00:09:21,959 Speaker 1: talk about that. We'll talk about just the general state 144 00:09:22,440 --> 00:09:27,319 Speaker 1: of there are unsolved lynch ings happening in America. The 145 00:09:27,440 --> 00:09:33,480 Speaker 1: police are very petulant going around harassing just communities of people. 146 00:09:34,240 --> 00:09:37,240 Speaker 1: H We're gonna talk about fireworks also for some reason, 147 00:09:37,720 --> 00:09:40,160 Speaker 1: because I don't know, I think it all ties in 148 00:09:40,280 --> 00:09:44,600 Speaker 1: together about how we're feeling. Um, we'll talk about Columbus. 149 00:09:45,000 --> 00:09:48,439 Speaker 1: We might change the name of Columbus, Ohio. Uh and 150 00:09:49,200 --> 00:09:52,160 Speaker 1: we'll talk about we might get to a Trump movie 151 00:09:52,240 --> 00:09:56,400 Speaker 1: that is premiering at con uh CO starring Stormy Daniels, 152 00:09:56,640 --> 00:10:02,160 Speaker 1: and scientology using COVID nineteen to recruit people, all of 153 00:10:02,280 --> 00:10:04,920 Speaker 1: that plenty more. But first, guy, we like task our guests, 154 00:10:04,960 --> 00:10:07,680 Speaker 1: what is something from your search history that is revealing 155 00:10:07,720 --> 00:10:10,280 Speaker 1: about who you are? I've looked at why is t 156 00:10:10,480 --> 00:10:15,920 Speaker 1: Rex the most famous dinosaur? Mm hmmm do you guys 157 00:10:16,040 --> 00:10:19,280 Speaker 1: does that even? Do you ever think about that? I 158 00:10:20,080 --> 00:10:23,040 Speaker 1: didn't put it together until I had read Oedipus Rex 159 00:10:23,720 --> 00:10:25,400 Speaker 1: and then I was like, Oh, that's what a rex means. 160 00:10:25,640 --> 00:10:27,280 Speaker 1: And then I don't know. Do people just get lazy 161 00:10:27,360 --> 00:10:29,400 Speaker 1: because like they just like like a bout of them, 162 00:10:29,679 --> 00:10:33,959 Speaker 1: like monarchical structures or something. I guess from what I 163 00:10:34,040 --> 00:10:36,840 Speaker 1: could tip from my limited research, because I was looking 164 00:10:36,840 --> 00:10:40,400 Speaker 1: at dinosaur names to try and add, to learn how 165 00:10:40,440 --> 00:10:42,959 Speaker 1: to spell them or to challenge other people to spell them, 166 00:10:43,880 --> 00:10:48,280 Speaker 1: and I It's widely regarded as the most famous dinosaur. 167 00:10:48,520 --> 00:10:52,079 Speaker 1: This is partly because it was the very first large 168 00:10:52,440 --> 00:10:54,559 Speaker 1: kind of a dinosaur to be discovered, and it was 169 00:10:54,640 --> 00:10:56,560 Speaker 1: long believed to have been the largest that ever lived. 170 00:10:56,720 --> 00:10:59,719 Speaker 1: Another fact was that it was probably the fascest meet 171 00:10:59,800 --> 00:11:03,240 Speaker 1: each it that even lived in. Another reason is because 172 00:11:03,960 --> 00:11:07,240 Speaker 1: possibly it was discovered in North America, and it's North 173 00:11:07,280 --> 00:11:10,240 Speaker 1: American heritage may explain its position as the world's most 174 00:11:10,640 --> 00:11:13,800 Speaker 1: famous dinosaur because you guys love crowing on about how 175 00:11:13,880 --> 00:11:18,559 Speaker 1: you how you find dinosaurs and how great everything is. Yeah. Well, 176 00:11:18,640 --> 00:11:21,520 Speaker 1: and also, like you know, the American Empire is much 177 00:11:21,600 --> 00:11:24,120 Speaker 1: more than the borders of the country, Like we make 178 00:11:24,240 --> 00:11:27,440 Speaker 1: all we were making nearly all the entertainment at one point, 179 00:11:27,559 --> 00:11:30,480 Speaker 1: so like we got everybody on this diet of like yeah, man, 180 00:11:30,760 --> 00:11:34,079 Speaker 1: like fucking America, there's something up over there. We just have. 181 00:11:34,360 --> 00:11:37,400 Speaker 1: We just have amazing PR you do. You've got a 182 00:11:37,440 --> 00:11:39,599 Speaker 1: great PR machine, although I will say the wheels do 183 00:11:39,640 --> 00:11:44,319 Speaker 1: you appear to be coming off slowly presently. They're loose, 184 00:11:44,480 --> 00:11:47,480 Speaker 1: They're loose. Yeah, what's the view? What's the view from 185 00:11:47,520 --> 00:11:52,600 Speaker 1: down there? Mate? Honestly, I watched the news in America. 186 00:11:52,920 --> 00:11:56,520 Speaker 1: It looks like I imagine the country is at a 187 00:11:56,600 --> 00:11:59,360 Speaker 1: point when what would traditionally happen when a country whips 188 00:11:59,400 --> 00:12:01,719 Speaker 1: itself up and to this kind of state, is that 189 00:12:01,880 --> 00:12:06,200 Speaker 1: America would say do you know what you guys need? Military? Yeah? Yeah, 190 00:12:07,520 --> 00:12:10,480 Speaker 1: it is. Is the coverage ever, like from the news 191 00:12:11,240 --> 00:12:14,000 Speaker 1: like in New Zealand sort of saying things like, you know, 192 00:12:14,360 --> 00:12:18,920 Speaker 1: because of America's rampant, unchecked racism, this is like a 193 00:12:19,040 --> 00:12:22,120 Speaker 1: thing like what's the sort of presentation of the unrest 194 00:12:22,320 --> 00:12:26,240 Speaker 1: from you know, the perspective Zealand. It's it's hard to say, 195 00:12:26,320 --> 00:12:30,160 Speaker 1: because news you get, you guys get some you know, 196 00:12:30,440 --> 00:12:34,040 Speaker 1: you get a bit of coverage. But the news outlets 197 00:12:34,080 --> 00:12:36,880 Speaker 1: from which I'm I'm getting my information a global or 198 00:12:36,960 --> 00:12:41,000 Speaker 1: often they remain American because they seemed to be keyton 199 00:12:41,240 --> 00:12:43,160 Speaker 1: most of what's happening. The coverage is sort of like 200 00:12:44,280 --> 00:12:46,400 Speaker 1: my read on the coverage is sort of like, oh boy, 201 00:12:47,160 --> 00:12:50,480 Speaker 1: I can't believe I left America in December twenty nine 202 00:12:51,160 --> 00:12:55,439 Speaker 1: talk about a stroke of luck. That's sort of my 203 00:12:55,640 --> 00:12:58,640 Speaker 1: spin on the coverage right right right, because you know, 204 00:12:58,760 --> 00:13:01,199 Speaker 1: I came back into if anything that was happening, and 205 00:13:01,280 --> 00:13:03,760 Speaker 1: my friends would say, wow, is it tough? Do you 206 00:13:04,040 --> 00:13:07,160 Speaker 1: do you regret it? And I say, do I regret 207 00:13:07,360 --> 00:13:13,800 Speaker 1: leaving New York City in dece in between nineteen? I say, no, 208 00:13:14,200 --> 00:13:16,720 Speaker 1: that's what I say. The other thing that was cool 209 00:13:16,840 --> 00:13:19,520 Speaker 1: to see was, you know, in all over the country 210 00:13:19,920 --> 00:13:22,079 Speaker 1: or all over the world, there were countries having their 211 00:13:22,160 --> 00:13:25,480 Speaker 1: own marches for like in solidarity of black lives and 212 00:13:25,559 --> 00:13:27,760 Speaker 1: things like that. And I was very, very touching to 213 00:13:27,840 --> 00:13:31,800 Speaker 1: see in New Zealand those happening. What is like, what's 214 00:13:31,840 --> 00:13:33,760 Speaker 1: sort of the thing that motivates you know? I think 215 00:13:33,800 --> 00:13:36,439 Speaker 1: every country has an aspect of dealing with some kind 216 00:13:36,520 --> 00:13:39,280 Speaker 1: of racism or whatever that essentially people were connecting to 217 00:13:39,400 --> 00:13:41,800 Speaker 1: it at any point. It wasn't just about narrowly this, 218 00:13:41,920 --> 00:13:43,480 Speaker 1: but I think a lot of people felt connected of 219 00:13:43,559 --> 00:13:47,880 Speaker 1: this feeling of you know, oppression, colonization and things like that, slavery. 220 00:13:48,760 --> 00:13:51,920 Speaker 1: Is there something like you know, put me onto sort 221 00:13:51,960 --> 00:13:54,000 Speaker 1: of like what the temperature is in New Zealand that 222 00:13:54,320 --> 00:13:56,199 Speaker 1: you know, obviously because you guys have your heads on 223 00:13:56,320 --> 00:13:58,640 Speaker 1: straight as people, like what else was kind of motivating 224 00:13:58,679 --> 00:14:01,960 Speaker 1: people to go out there, And so already the marches 225 00:14:02,000 --> 00:14:05,280 Speaker 1: initially were in sort of just total solidarity. There was 226 00:14:05,320 --> 00:14:09,600 Speaker 1: a big from the organizers specifically, there was a concerned 227 00:14:09,720 --> 00:14:14,679 Speaker 1: effort to not shift focus or kind of um use 228 00:14:14,720 --> 00:14:19,800 Speaker 1: it as a pivot point into local you know, local oppression. 229 00:14:20,080 --> 00:14:23,480 Speaker 1: But um there is also there's like there's a there's 230 00:14:23,640 --> 00:14:26,360 Speaker 1: a growing black community in New Zealand. And then also 231 00:14:26,520 --> 00:14:29,080 Speaker 1: traditionally they're like, I mean we we suffered from many 232 00:14:29,120 --> 00:14:30,880 Speaker 1: of the same problems on a much smaller scale in 233 00:14:31,000 --> 00:14:35,240 Speaker 1: terms of systemic oppression and a police force that you know, 234 00:14:36,120 --> 00:14:40,840 Speaker 1: disproportionately incarceraates pacifica and indigenous like Malti people in New Zealand. 235 00:14:41,000 --> 00:14:45,400 Speaker 1: And so I think middle New Zealand and sort of 236 00:14:45,800 --> 00:14:48,600 Speaker 1: you know that we don't really have these poles in 237 00:14:48,640 --> 00:14:52,040 Speaker 1: the way that America does politically, but middle to right 238 00:14:52,160 --> 00:14:55,320 Speaker 1: skewing New Zealand, I think we have this very we're 239 00:14:55,400 --> 00:14:57,640 Speaker 1: quite proud of this laqueer daysic called like she'll be right, 240 00:14:57,720 --> 00:14:59,760 Speaker 1: aren't we lucky We're here and not there sort of approach. 241 00:15:00,280 --> 00:15:03,160 Speaker 1: And then beneath that, there's an undercarrent of people saying, well, 242 00:15:03,880 --> 00:15:05,480 Speaker 1: it's very well for you to say that from inside 243 00:15:05,480 --> 00:15:08,320 Speaker 1: of the status quo, but this is not working for everyone. 244 00:15:08,560 --> 00:15:12,000 Speaker 1: And so I think it's just it's very clear even 245 00:15:12,080 --> 00:15:13,840 Speaker 1: from here that this is a moment in history, and 246 00:15:13,920 --> 00:15:15,920 Speaker 1: it's sort of like, you know, if you ever wondered 247 00:15:16,000 --> 00:15:18,760 Speaker 1: what you'd be doing when the worm turned, it's pretty 248 00:15:18,840 --> 00:15:20,960 Speaker 1: much what you're doing right now. And so I think 249 00:15:21,560 --> 00:15:26,520 Speaker 1: also because the um I mean yeah, I think also 250 00:15:27,000 --> 00:15:30,480 Speaker 1: because of relationship to COVID nineteen and how we sort 251 00:15:30,520 --> 00:15:34,320 Speaker 1: of have given it a bit of a spanking people 252 00:15:35,000 --> 00:15:37,600 Speaker 1: quite excitedly and confidently we're like, well, what better way 253 00:15:37,680 --> 00:15:40,000 Speaker 1: to fucking get out in the streets than, you know, 254 00:15:40,720 --> 00:15:43,680 Speaker 1: a fantastic cause. Like on Sunday Sunday two weeks ago 255 00:15:43,760 --> 00:15:47,840 Speaker 1: that I went to the March Black Lives March and 256 00:15:47,920 --> 00:15:49,960 Speaker 1: then which would have been about six thousand people, and 257 00:15:50,040 --> 00:15:52,200 Speaker 1: then to a sports game with forty five thousand people, 258 00:15:52,320 --> 00:15:57,960 Speaker 1: and I thought, gee, was aren't we living? Yeah? Yeah, man, 259 00:15:58,000 --> 00:16:01,000 Speaker 1: that's why they even think that news The land March 260 00:16:01,120 --> 00:16:04,680 Speaker 1: for Black Lives drew nearly as many people as you know, 261 00:16:04,840 --> 00:16:08,760 Speaker 1: KKK Palooza and Tulsa. There was a big, big goal. 262 00:16:09,000 --> 00:16:11,400 Speaker 1: We all sort of had an email going around. We said, listen, 263 00:16:12,560 --> 00:16:15,920 Speaker 1: le get more people than Trump and Tulsa. Were you 264 00:16:16,520 --> 00:16:20,320 Speaker 1: with the K pop fans and the um of course 265 00:16:21,080 --> 00:16:23,720 Speaker 1: on tech tark you guys that was That was a 266 00:16:23,800 --> 00:16:27,960 Speaker 1: separate but equally important email thread. I sort of spearheaded 267 00:16:28,080 --> 00:16:32,560 Speaker 1: both of the threads. Us I used that traditional chainmail 268 00:16:32,560 --> 00:16:34,520 Speaker 1: approach where I say, for this to tend people or 269 00:16:34,560 --> 00:16:37,080 Speaker 1: your crash work't like you back, And you'd be surprised 270 00:16:37,600 --> 00:16:43,160 Speaker 1: how that mobilizes people, how effective that still is df 271 00:16:43,320 --> 00:16:46,840 Speaker 1: to come through on the internet. Man, what is the guy? 272 00:16:46,880 --> 00:16:49,640 Speaker 1: What's something you think is underrated? Well, of course I 273 00:16:49,720 --> 00:16:52,480 Speaker 1: think it's the I don't even know how to say 274 00:16:52,520 --> 00:16:56,680 Speaker 1: this dinosaur, but it's the comps compsog Nathans. It said, 275 00:16:56,840 --> 00:16:58,720 Speaker 1: it's even it's going about two weeks. But this is 276 00:16:58,760 --> 00:17:01,160 Speaker 1: a little dinosaur's the size of a turkey. But it's 277 00:17:01,200 --> 00:17:05,879 Speaker 1: got that beautiful those beautiful raptiles. Yeah that we know 278 00:17:06,000 --> 00:17:08,679 Speaker 1: and loves. Yeah, they were the Yeah, they had their 279 00:17:08,720 --> 00:17:11,280 Speaker 1: shine in that. That's what the second Jurassic Park movie 280 00:17:11,560 --> 00:17:14,840 Speaker 1: I think, Yeah, but they were in the first book 281 00:17:14,920 --> 00:17:18,119 Speaker 1: and in fact or in the book and they killed 282 00:17:19,119 --> 00:17:24,280 Speaker 1: the main bad the main big bad John what's his name? Yeah, 283 00:17:25,280 --> 00:17:28,840 Speaker 1: but the guy who built the park, he got John Hammond, 284 00:17:29,560 --> 00:17:32,480 Speaker 1: John Hammond. He got eaten by the copies in the 285 00:17:32,560 --> 00:17:37,080 Speaker 1: first book, and then in the second book he's back. Well, 286 00:17:37,119 --> 00:17:38,840 Speaker 1: I don't know, he's back in the I mean, the 287 00:17:38,920 --> 00:17:44,320 Speaker 1: movie just didn't him. And then he's back in Lost 288 00:17:44,400 --> 00:17:48,199 Speaker 1: World for some reason. Why not? I just think these 289 00:17:48,240 --> 00:17:52,960 Speaker 1: are these are great sixty little dinosaurs. You know, everyone's 290 00:17:52,960 --> 00:17:55,920 Speaker 1: going on about the big old t rix. What about 291 00:17:55,960 --> 00:17:58,600 Speaker 1: we give the copies to me a time? Huh? Yeah, 292 00:17:59,400 --> 00:18:02,879 Speaker 1: what was your first interaction with a compy guy that 293 00:18:03,240 --> 00:18:06,320 Speaker 1: led you down this road? Probably dressed it part, But again, 294 00:18:06,400 --> 00:18:08,960 Speaker 1: as I've just had my head in the dinosaur world lately, 295 00:18:09,359 --> 00:18:12,159 Speaker 1: and I came across these guys and I saw a 296 00:18:12,240 --> 00:18:14,320 Speaker 1: picture of them without scale, and I thought, how big 297 00:18:14,440 --> 00:18:16,600 Speaker 1: is that? And I saw a picture of it with scale. 298 00:18:16,640 --> 00:18:19,080 Speaker 1: It was next to a mouse, and I was like, 299 00:18:19,440 --> 00:18:23,760 Speaker 1: that's pretty small. I just I just I like it 300 00:18:23,920 --> 00:18:27,800 Speaker 1: when um, you know, this is why we like puppies 301 00:18:27,840 --> 00:18:31,280 Speaker 1: and kittens like I like it when the scale was small. 302 00:18:32,200 --> 00:18:36,359 Speaker 1: That's cool, that's fine, that's cool. Have you seen that 303 00:18:36,480 --> 00:18:42,760 Speaker 1: puppy right those Thus it's like a tiny dog, but 304 00:18:43,200 --> 00:18:47,080 Speaker 1: it'll it'll grow. I'm just looking at the Latin broken 305 00:18:47,119 --> 00:18:52,719 Speaker 1: down compsos meaning elegant or dainty. Come south meathis dainty 306 00:18:52,800 --> 00:18:57,280 Speaker 1: jar elegant jar. I like that great jaw line on 307 00:18:57,640 --> 00:19:00,880 Speaker 1: on the compy that can't be a wow chisel jaw 308 00:19:01,000 --> 00:19:04,760 Speaker 1: line on that signed at Willelmino Models signed this compy. 309 00:19:05,640 --> 00:19:07,119 Speaker 1: After all, this is ever. I can't wait to walk 310 00:19:07,160 --> 00:19:09,359 Speaker 1: into a plastic surgery and say, give me a jewel 311 00:19:09,400 --> 00:19:14,400 Speaker 1: line like a compy. When you just scale this operation down, 312 00:19:14,440 --> 00:19:17,520 Speaker 1: you're like the new that one woman who's the catwoman 313 00:19:17,800 --> 00:19:20,639 Speaker 1: that a European woman has. Then yeah, guy just becomes 314 00:19:20,720 --> 00:19:26,800 Speaker 1: comp Usa. Guy. What's something you think is overrated? I 315 00:19:26,880 --> 00:19:30,480 Speaker 1: think I might know where we're going here? Well, what 316 00:19:30,560 --> 00:19:31,960 Speaker 1: do you think? What do you think? I think is 317 00:19:32,000 --> 00:19:34,000 Speaker 1: I've already I don't know we're here. We're just here 318 00:19:34,040 --> 00:19:35,480 Speaker 1: to be in all of you guys, So you just 319 00:19:35,680 --> 00:19:38,760 Speaker 1: tell us. Man, Now, I think, um, I think that 320 00:19:39,160 --> 00:19:42,600 Speaker 1: I think President Cheeta is actually a little bit overrated. 321 00:19:42,680 --> 00:19:47,920 Speaker 1: That's what I call him. I think I think he's Yeah, 322 00:19:48,240 --> 00:19:50,200 Speaker 1: I've seen it on the podcast for Ours said again, 323 00:19:50,960 --> 00:19:54,359 Speaker 1: this guy, you're gonna get him out of you. But 324 00:19:54,480 --> 00:19:56,480 Speaker 1: I did put the boot in because he looks like 325 00:19:56,840 --> 00:20:01,240 Speaker 1: this guy looks like a freaking cheeta. So true, man, 326 00:20:01,600 --> 00:20:07,200 Speaker 1: so true. That's all we got. That's where we're at. Yeah. Yeah, 327 00:20:07,240 --> 00:20:09,720 Speaker 1: I was gonna say before when you're saying, we're gonna 328 00:20:09,720 --> 00:20:12,080 Speaker 1: get into a little bit of why the Trump was 329 00:20:12,119 --> 00:20:14,040 Speaker 1: so poorly attended, It's got to be because of all 330 00:20:14,080 --> 00:20:17,280 Speaker 1: those late night talk show hosts who simply won't stop 331 00:20:17,440 --> 00:20:29,119 Speaker 1: lacerating this guy with side right, I mean, Colbert, can 332 00:20:29,200 --> 00:20:36,040 Speaker 1: he say that? Sorry, As a quick question, I'm just 333 00:20:36,119 --> 00:20:38,840 Speaker 1: curious you were saying, how like polling is different in 334 00:20:39,000 --> 00:20:41,720 Speaker 1: New Zealand or whatever. It's not like America's addicted to 335 00:20:41,800 --> 00:20:44,440 Speaker 1: the polls because it's like this horse race thing like 336 00:20:44,960 --> 00:20:49,000 Speaker 1: with Jacinda, Like your prime minister is pulling something that 337 00:20:49,080 --> 00:20:51,719 Speaker 1: comes out regularly about the prime minister's performance. And I'm 338 00:20:51,760 --> 00:20:54,879 Speaker 1: curious if, like by comparison, everyone's like we have the 339 00:20:55,000 --> 00:20:59,360 Speaker 1: smartest leader on Earth in our country. I think it's 340 00:21:00,040 --> 00:21:04,960 Speaker 1: doesn't come out with the same frequency or intensity like 341 00:21:05,080 --> 00:21:07,080 Speaker 1: we don't. We don't treat it with quite the same 342 00:21:07,160 --> 00:21:11,280 Speaker 1: level of spectacle. But yeah, her approval ratings are absolutely 343 00:21:11,960 --> 00:21:15,440 Speaker 1: soaring right now. And the the opposition, who are NETO 344 00:21:15,600 --> 00:21:19,399 Speaker 1: called the National Party, they hit such a deep slump. 345 00:21:19,720 --> 00:21:21,800 Speaker 1: This is an election. Yet we've got an election. I 346 00:21:21,880 --> 00:21:24,600 Speaker 1: say it's about ninety days away now. They hit such 347 00:21:24,640 --> 00:21:27,120 Speaker 1: a big slump that the leader of the opposition got 348 00:21:27,280 --> 00:21:31,760 Speaker 1: rolled by this guy. There was a guy called Simon Bridges, 349 00:21:31,960 --> 00:21:34,719 Speaker 1: who is this pagnacious guy whose whole tech was hed 350 00:21:34,800 --> 00:21:38,200 Speaker 1: come on and he'd say, um, like in the middle 351 00:21:38,240 --> 00:21:41,480 Speaker 1: of the most phenomenal global response to COVID nineteen, and 352 00:21:41,480 --> 00:21:44,000 Speaker 1: he keeps going on the news and saying we're caking it, 353 00:21:44,080 --> 00:21:48,200 Speaker 1: we're sucking it. And he almost like no, just just 354 00:21:48,400 --> 00:21:50,440 Speaker 1: like I know it might not feel good, but you 355 00:21:50,560 --> 00:21:53,040 Speaker 1: just say well done, and then you know, hope it 356 00:21:53,480 --> 00:21:56,800 Speaker 1: stay down the line. And anyway, everyone got piste off. 357 00:21:56,920 --> 00:21:59,919 Speaker 1: And so then this guy who's called Todd Muller, who 358 00:22:00,200 --> 00:22:03,040 Speaker 1: just is the least inspiring thumb of a man, he 359 00:22:03,280 --> 00:22:07,440 Speaker 1: somehow got in. And yeah, I mean it's you know, 360 00:22:07,560 --> 00:22:09,600 Speaker 1: we we create our own little narratives and we have 361 00:22:09,680 --> 00:22:13,440 Speaker 1: a fun with our political system. But it's it all. See. 362 00:22:13,520 --> 00:22:15,480 Speaker 1: I mean, you know, I don't want to be complacent, 363 00:22:15,640 --> 00:22:19,200 Speaker 1: but we seem to be quite well positioned at the 364 00:22:19,280 --> 00:22:21,440 Speaker 1: next election for the ones that I like to win. 365 00:22:21,640 --> 00:22:24,840 Speaker 1: And I think, yeah, everyone in the US just has 366 00:22:24,920 --> 00:22:27,760 Speaker 1: like we just like are like shipping ourselves in a 367 00:22:27,840 --> 00:22:31,480 Speaker 1: relationship with New Zealand in a way where like, god, man, 368 00:22:32,280 --> 00:22:36,000 Speaker 1: what the funk? Like Like I have dreams about being 369 00:22:36,080 --> 00:22:40,280 Speaker 1: like president just Cinder and I'm like, yes, yes, yes, yes. 370 00:22:42,320 --> 00:22:44,920 Speaker 1: Quite a funny movement coming out of the UK where 371 00:22:44,920 --> 00:22:46,640 Speaker 1: it was like they were trying to the Clear War 372 00:22:47,000 --> 00:22:49,240 Speaker 1: and immediately surrend It was a pledge me or something. 373 00:22:49,280 --> 00:22:52,760 Speaker 1: They're like the Clear War and immediately surrender to New Zealand, 374 00:22:52,960 --> 00:22:57,040 Speaker 1: which would mean that they see governmental control to our government. 375 00:22:57,680 --> 00:23:01,960 Speaker 1: Oh that would be amazing, I I would be, But 376 00:23:02,119 --> 00:23:04,959 Speaker 1: I don't know that they went a hid with it. Finally, 377 00:23:05,040 --> 00:23:07,280 Speaker 1: what does it mean? What's something people think is true, 378 00:23:07,359 --> 00:23:10,959 Speaker 1: you know, to be false or vice versa. Well, from 379 00:23:11,000 --> 00:23:14,480 Speaker 1: what I understand, people often think that the city of 380 00:23:14,600 --> 00:23:20,439 Speaker 1: Athens was named such due to you know, various different 381 00:23:20,560 --> 00:23:22,600 Speaker 1: historical figures deciding that this is what we're going to 382 00:23:22,680 --> 00:23:25,159 Speaker 1: call it, and scribes writing it down. What a lot 383 00:23:25,200 --> 00:23:27,680 Speaker 1: of them might be shocked to here is the naming 384 00:23:27,760 --> 00:23:31,160 Speaker 1: of Athens in the Great ways of ts Eliot Andrew 385 00:23:31,200 --> 00:23:34,280 Speaker 1: Lloyd Webber is a curious matter. This isn't just one 386 00:23:34,320 --> 00:23:40,560 Speaker 1: of your holiday games now. Pretty much there was just 387 00:23:40,680 --> 00:23:44,919 Speaker 1: a competent. There was a competition between Athena and Poseidon, 388 00:23:45,520 --> 00:23:49,040 Speaker 1: and um, they were like, all right, one, you're gonna 389 00:23:49,080 --> 00:23:51,160 Speaker 1: name it after one of us. And the people were like, okay, 390 00:23:51,400 --> 00:23:55,440 Speaker 1: they were they were pretty obliging. And what what What 391 00:23:55,680 --> 00:23:58,440 Speaker 1: happened was that Poseidon showed up and this guy is 392 00:23:58,520 --> 00:24:01,639 Speaker 1: the king of the sea. He loves to see and 393 00:24:02,359 --> 00:24:06,920 Speaker 1: he he struck a rock with his trident and all 394 00:24:07,000 --> 00:24:09,600 Speaker 1: this water gashed forth, and the big advertisement was meant 395 00:24:09,680 --> 00:24:12,880 Speaker 1: to be if you guys worried about it drought, well 396 00:24:13,680 --> 00:24:18,200 Speaker 1: you don't go to worry about that anybody. Yeah, yeah, well, 397 00:24:18,280 --> 00:24:20,760 Speaker 1: And that's actually what sort of came back to nipping 398 00:24:20,880 --> 00:24:23,399 Speaker 1: on the ass, is that everyone was like, dude, all 399 00:24:23,440 --> 00:24:28,200 Speaker 1: this water is super salty. And he didn't really say anything. 400 00:24:28,520 --> 00:24:32,640 Speaker 1: And then Athena she struck her spear on the ground 401 00:24:32,680 --> 00:24:35,080 Speaker 1: and a bloody, beautiful little olive tree cropped up, and 402 00:24:35,119 --> 00:24:39,919 Speaker 1: the citizens were like, man, olive trees. We got food, 403 00:24:40,280 --> 00:24:44,200 Speaker 1: we've got oil, we got wood, and and then they're like, 404 00:24:44,280 --> 00:24:48,560 Speaker 1: we're going to call our city Athens and then historians said, yeah, 405 00:24:49,200 --> 00:24:53,639 Speaker 1: we are deal. So I just wanted to clear that up. 406 00:24:54,800 --> 00:24:57,119 Speaker 1: A lot of people are, Yeah, that that's one that 407 00:24:57,720 --> 00:25:00,399 Speaker 1: I think we busted way back in my time. Cracked, 408 00:25:00,480 --> 00:25:04,600 Speaker 1: but that's a that's a common misconception. Um, wow, alright, 409 00:25:04,800 --> 00:25:09,480 Speaker 1: do what little we can Jack. Yeah, I just feel 410 00:25:09,600 --> 00:25:13,320 Speaker 1: so foolish for even like clinging to the words of 411 00:25:14,240 --> 00:25:17,320 Speaker 1: or herodotus at this point. Yeah, that'd be too hot 412 00:25:17,400 --> 00:25:21,160 Speaker 1: in yourself. All right, guys, let's take a quick break 413 00:25:21,200 --> 00:25:23,840 Speaker 1: and we'll come back and talk about the Tulsa rally 414 00:25:34,160 --> 00:25:38,760 Speaker 1: and we're back. Uh. And the news media for most 415 00:25:38,800 --> 00:25:41,639 Speaker 1: of the last week was really looking forward to this 416 00:25:41,840 --> 00:25:45,040 Speaker 1: Tulsa rally that Trump was going to stage. I was 417 00:25:45,160 --> 00:25:48,520 Speaker 1: very controversial because so many people were going to show up, 418 00:25:48,680 --> 00:25:52,600 Speaker 1: and his followers tend to think science as a myth, 419 00:25:52,720 --> 00:25:56,919 Speaker 1: not not be on board with those scientists that guys 420 00:25:57,000 --> 00:26:02,879 Speaker 1: country uh loves so much. Just let's tell them what 421 00:26:03,040 --> 00:26:07,040 Speaker 1: to do. Uh. So Yeah, that that was kind of 422 00:26:07,160 --> 00:26:11,400 Speaker 1: the way the story was being covered heading into basically 423 00:26:11,520 --> 00:26:14,600 Speaker 1: the moment the rallies started and the media looked around 424 00:26:14,920 --> 00:26:19,760 Speaker 1: and they were like, there's only like six thousand people here, 425 00:26:20,240 --> 00:26:24,280 Speaker 1: six thousand, two hundred showed up to be exact. Um, 426 00:26:24,520 --> 00:26:28,840 Speaker 1: and the worst case scenario coming in according to you 427 00:26:28,920 --> 00:26:33,240 Speaker 1: know estimates heading in was sixty thousand. Uh. They had 428 00:26:33,320 --> 00:26:37,760 Speaker 1: been bragging that a million people were inquiring or registering 429 00:26:37,880 --> 00:26:42,720 Speaker 1: to show up, and people immediately, you know, Fox News, 430 00:26:42,840 --> 00:26:47,680 Speaker 1: I think, is immediately jumped on the fact that some 431 00:26:48,240 --> 00:26:53,720 Speaker 1: teenagers on TikTok and some uh K pop stands were 432 00:26:53,760 --> 00:26:58,240 Speaker 1: saying that they had registered uh and then not attended 433 00:26:58,320 --> 00:27:04,240 Speaker 1: the event, which was you know, real switcheroo and unfair, 434 00:27:04,520 --> 00:27:09,440 Speaker 1: not fair, and they're they're claiming that, but when you 435 00:27:10,280 --> 00:27:14,399 Speaker 1: take into account that there were unlimited tickets. They it 436 00:27:14,560 --> 00:27:17,920 Speaker 1: wasn't like they were buying seats and then not attending 437 00:27:17,960 --> 00:27:21,240 Speaker 1: those seats. It was an unlimited amount of people could 438 00:27:21,320 --> 00:27:24,440 Speaker 1: register and show up, and they had it planned that 439 00:27:24,640 --> 00:27:29,119 Speaker 1: the overflow crowd would be outside and Trump and Pence 440 00:27:29,200 --> 00:27:34,200 Speaker 1: would address them afterwards. But they didn't even have enough 441 00:27:34,240 --> 00:27:38,480 Speaker 1: to fill the inside. The outside was completely empty and 442 00:27:38,560 --> 00:27:42,399 Speaker 1: they had to cancel that second appearance. UM. So it 443 00:27:42,480 --> 00:27:46,440 Speaker 1: was just all around not not a good look for Trump. 444 00:27:47,840 --> 00:27:50,760 Speaker 1: Oh and Brad par Scale, you know, I don't know 445 00:27:50,880 --> 00:27:54,040 Speaker 1: how long he'll be campaign manager, because all the reports 446 00:27:54,119 --> 00:27:58,560 Speaker 1: were like when Trump realized how scant the crowd was, 447 00:27:58,720 --> 00:28:01,240 Speaker 1: like he lost it and knew he was pissed because 448 00:28:01,600 --> 00:28:04,119 Speaker 1: there's that video clip of him coming back to the 449 00:28:04,160 --> 00:28:06,600 Speaker 1: White House and Marine one on the helicopter and his 450 00:28:06,800 --> 00:28:10,120 Speaker 1: ties undone, and he's like he's like hanging his head 451 00:28:10,240 --> 00:28:12,720 Speaker 1: walking back like that, Like no one came to his 452 00:28:12,880 --> 00:28:15,840 Speaker 1: racist prom party at all, even though so many people 453 00:28:15,920 --> 00:28:20,000 Speaker 1: are VP moment, no one showed up that even the 454 00:28:20,119 --> 00:28:23,640 Speaker 1: way par Scale explains it is so bizarre. It's because 455 00:28:23,640 --> 00:28:26,160 Speaker 1: it's almost like he's almost saying, like, don't give credit 456 00:28:26,200 --> 00:28:28,280 Speaker 1: to the K pop people for sucking this up, like 457 00:28:28,560 --> 00:28:31,600 Speaker 1: we just no one just people don't funk with the president. 458 00:28:31,680 --> 00:28:33,879 Speaker 1: That's how it sounds, because he says left dissent. This 459 00:28:33,960 --> 00:28:36,840 Speaker 1: is a quote from Brad Carr's part. Leftists and online 460 00:28:36,840 --> 00:28:40,520 Speaker 1: trolls doing a victory lap thinking they somehow impacted rally 461 00:28:40,560 --> 00:28:43,040 Speaker 1: intendants don't know what they're talking about, or how are 462 00:28:43,120 --> 00:28:45,840 Speaker 1: rallies work. Reporters who wrote gleefully about TikTok and K 463 00:28:45,960 --> 00:28:48,760 Speaker 1: pop fans without contacting the campaign for comment, but have 464 00:28:49,000 --> 00:28:51,720 Speaker 1: unprofessionally and we're willing dupes to the charade, and he 465 00:28:51,840 --> 00:28:54,400 Speaker 1: goes on too, basically saying like even though people R 466 00:28:54,520 --> 00:28:56,800 Speaker 1: s v P, they know how to get the bogus 467 00:28:56,960 --> 00:28:59,920 Speaker 1: numbers out and they knew, like we we had the 468 00:29:00,120 --> 00:29:03,160 Speaker 1: right calculations. So if that's the case, then you have 469 00:29:03,320 --> 00:29:06,240 Speaker 1: to own now that your own people don't support you, 470 00:29:06,720 --> 00:29:11,680 Speaker 1: if it's not like it wasn't because of that. Yeah, 471 00:29:12,000 --> 00:29:16,280 Speaker 1: and the pride to be like no, no, the calculations 472 00:29:16,480 --> 00:29:20,120 Speaker 1: are good, like what does what does lift to grab 473 00:29:20,200 --> 00:29:23,640 Speaker 1: onto at this point? Nothing? And it's gotta suck. Because 474 00:29:23,680 --> 00:29:26,160 Speaker 1: there were people on like one American News who were 475 00:29:26,200 --> 00:29:29,400 Speaker 1: like like hyper ventilating to the camera because they knew 476 00:29:29,400 --> 00:29:31,760 Speaker 1: Trump would watch this, Like you know, they said that 477 00:29:31,880 --> 00:29:34,920 Speaker 1: there was probably only six thousand people in there, and 478 00:29:35,840 --> 00:29:39,480 Speaker 1: I like myself, other people we were we were eyewitnesses 479 00:29:39,600 --> 00:29:41,960 Speaker 1: in the building. I mean there was the full half 480 00:29:42,240 --> 00:29:46,560 Speaker 1: of the stadium was there. So if it's and holds 481 00:29:46,880 --> 00:29:49,600 Speaker 1: and there was a full half, then it can't just 482 00:29:49,720 --> 00:29:53,800 Speaker 1: be six thousand. Is a WHOA why are you miss? 483 00:29:53,880 --> 00:29:57,080 Speaker 1: Why are you breathing so hard like this? Because you know, 484 00:29:57,240 --> 00:29:59,520 Speaker 1: like you have to go out there and just pretend 485 00:29:59,640 --> 00:30:02,280 Speaker 1: like that that the brand that you know the brand 486 00:30:02,360 --> 00:30:04,960 Speaker 1: of white supremacy isn't doing too good right now. I 487 00:30:05,040 --> 00:30:07,000 Speaker 1: think that's another thing people should look at because a 488 00:30:07,040 --> 00:30:10,800 Speaker 1: lot of people, I think on progressives were like, okay, 489 00:30:10,920 --> 00:30:13,480 Speaker 1: so if progressives got out in the street and people 490 00:30:13,520 --> 00:30:16,719 Speaker 1: willing to stand in solidarity for equality took the streets 491 00:30:16,800 --> 00:30:19,600 Speaker 1: like this over the last couple of weeks, we're like, well, well, 492 00:30:19,640 --> 00:30:21,400 Speaker 1: I guess we'll see what kind of racist, you know, 493 00:30:21,600 --> 00:30:25,880 Speaker 1: cracking emerges from Tulsa. And you've got six thousand people 494 00:30:26,400 --> 00:30:29,400 Speaker 1: and a lot of people, even themselves kind of saying like, 495 00:30:29,440 --> 00:30:31,520 Speaker 1: I don't know correct, Like even on Fox News they're like, 496 00:30:31,720 --> 00:30:33,440 Speaker 1: who thought it was a good idea to have twenty 497 00:30:33,480 --> 00:30:36,640 Speaker 1: thousand people with masks optional and enclosed space? It was 498 00:30:36,680 --> 00:30:39,240 Speaker 1: weird how Fox turned on him today. I think it 499 00:30:39,320 --> 00:30:41,680 Speaker 1: looks like the answer to that question is roughly six 500 00:30:41,760 --> 00:30:48,080 Speaker 1: thousand people within driving Yeah, it's gonna be interesting to 501 00:30:48,160 --> 00:30:52,440 Speaker 1: see how this effects. Like it obviously hurts his feelings, 502 00:30:52,560 --> 00:30:55,800 Speaker 1: but he's a you know, a narcissist who takes all 503 00:30:55,840 --> 00:31:00,360 Speaker 1: of his self worth from outside indicators. So and actually 504 00:31:00,440 --> 00:31:03,920 Speaker 1: he'll just be able to, you know, suck the oxygen 505 00:31:03,960 --> 00:31:06,680 Speaker 1: out of the room enough to puff himself back up. 506 00:31:06,800 --> 00:31:10,640 Speaker 1: But there is a thing that you noticed throughout the 507 00:31:11,160 --> 00:31:15,720 Speaker 1: seen and then throughout his presidency, the campaign and his 508 00:31:15,840 --> 00:31:21,760 Speaker 1: presidency where this was sort of a cool meme among 509 00:31:22,480 --> 00:31:26,320 Speaker 1: kind of racist people, where like showing up to Trump 510 00:31:26,440 --> 00:31:29,120 Speaker 1: rallies like there was you know, you heard it described 511 00:31:29,160 --> 00:31:32,240 Speaker 1: as like being like a rock concert, like everybody shows up. 512 00:31:32,320 --> 00:31:36,000 Speaker 1: There were in T shirts, They're lined up hours in advance, 513 00:31:36,120 --> 00:31:41,960 Speaker 1: they're meeting other fans, and so like seeing that sort 514 00:31:42,000 --> 00:31:44,800 Speaker 1: of pierced a little bit at the same time that yes, 515 00:31:45,280 --> 00:31:49,200 Speaker 1: a white supremacy is is having just a rough day 516 00:31:49,320 --> 00:31:53,720 Speaker 1: in the media these past couple of weeks. I do 517 00:31:53,880 --> 00:31:57,239 Speaker 1: wonder if that's going to compound on itself or if 518 00:31:57,280 --> 00:31:59,840 Speaker 1: there will be some sort of like you know, backlash 519 00:32:00,040 --> 00:32:04,040 Speaker 1: to the It does seem to be for for Trump 520 00:32:04,320 --> 00:32:08,040 Speaker 1: that as we call him here at the Zog President Cheetah. 521 00:32:08,640 --> 00:32:11,360 Speaker 1: It does seem to be a bit of that. A 522 00:32:11,480 --> 00:32:19,200 Speaker 1: difficult second album about the whole legion. Yeah, it's tough. Also, 523 00:32:20,400 --> 00:32:23,280 Speaker 1: the fear always right is that he's so good at 524 00:32:23,320 --> 00:32:26,360 Speaker 1: whipping his fans into a frenzy that you know this 525 00:32:26,600 --> 00:32:29,000 Speaker 1: the spin on this is like now more than ever, 526 00:32:29,160 --> 00:32:32,320 Speaker 1: we need you guys to mobilize and energize and and 527 00:32:32,480 --> 00:32:35,680 Speaker 1: make some noise. I mean, it's like, you know, this 528 00:32:35,880 --> 00:32:40,040 Speaker 1: is exactly it's it's the fear that I you know, 529 00:32:40,680 --> 00:32:43,960 Speaker 1: I imagine is that this can lead to some version 530 00:32:43,960 --> 00:32:48,240 Speaker 1: of complacency amongst Democratic voters, Like you know, the entire 531 00:32:48,720 --> 00:32:51,200 Speaker 1: campaign that's been wheeled out as the alternative is not 532 00:32:52,280 --> 00:32:54,880 Speaker 1: this is what you want, it's you don't want the 533 00:32:54,960 --> 00:33:00,360 Speaker 1: other thing. And you know, this sort of public humility icean, 534 00:33:00,520 --> 00:33:02,920 Speaker 1: especially this far out from the election, is the sort 535 00:33:02,920 --> 00:33:05,880 Speaker 1: of thing that can take seed and lead to well, 536 00:33:06,280 --> 00:33:08,880 Speaker 1: you know, I'm just predicting, but some sort of complacency 537 00:33:09,160 --> 00:33:12,480 Speaker 1: or over confidence or just not good things to be 538 00:33:12,600 --> 00:33:16,680 Speaker 1: carrying towards the election. It is funny, it is. It 539 00:33:16,840 --> 00:33:19,200 Speaker 1: is also very funny though, because I'm I don't know 540 00:33:19,240 --> 00:33:22,480 Speaker 1: if you guys have this, but I'm against the guy. Yeah, 541 00:33:22,920 --> 00:33:24,880 Speaker 1: I mean, he's gonna have to He's gonna have to 542 00:33:24,960 --> 00:33:27,480 Speaker 1: come out with new hits, like you're saying, uh, you know, 543 00:33:27,600 --> 00:33:30,640 Speaker 1: the first album, MAGA Volume one, we had things like 544 00:33:30,840 --> 00:33:34,880 Speaker 1: lock her Up, build that Wall, U s a UM 545 00:33:35,400 --> 00:33:38,120 Speaker 1: and people can only sing the same hits over and 546 00:33:38,200 --> 00:33:41,040 Speaker 1: over at these shows before, like yo, where's the new ship. Uh. 547 00:33:41,280 --> 00:33:43,000 Speaker 1: The only thing I heard that was kind of cool 548 00:33:43,160 --> 00:33:46,040 Speaker 1: was Ronna Romney mcgath, the head of the r NC. 549 00:33:46,200 --> 00:33:52,240 Speaker 1: She was she called a Biden's campaign Biden's seek, and 550 00:33:52,360 --> 00:33:54,680 Speaker 1: I was like, hey, that was clever. But you know, again, 551 00:33:55,040 --> 00:33:57,320 Speaker 1: if if you really think that these elections are one 552 00:33:57,440 --> 00:33:59,760 Speaker 1: just on these wittic systems, then we have I mean, 553 00:34:00,240 --> 00:34:02,440 Speaker 1: we already have a problem, but we have additional problems 554 00:34:02,480 --> 00:34:05,680 Speaker 1: in this country. And on top of that, Trump's you know, 555 00:34:06,040 --> 00:34:09,200 Speaker 1: Biden outraised Trump by six million I think this last month. 556 00:34:09,280 --> 00:34:13,880 Speaker 1: So there's in the in the end. You know, what's 557 00:34:13,960 --> 00:34:17,759 Speaker 1: clear is that just just in your face racism from 558 00:34:18,280 --> 00:34:23,520 Speaker 1: seventeen is a huge risk in now, whether that's you know, 559 00:34:23,800 --> 00:34:26,239 Speaker 1: going out there and just being like oh man, now 560 00:34:26,400 --> 00:34:29,200 Speaker 1: knowing like how this is framed, Like now I've ran up. 561 00:34:29,239 --> 00:34:31,560 Speaker 1: If you're somewhat if you were I don't know somehow 562 00:34:31,600 --> 00:34:33,600 Speaker 1: a reasonable Trump supporter, you'd be like, I think I've 563 00:34:33,640 --> 00:34:36,120 Speaker 1: run out of ways to say I'm not racist by 564 00:34:36,239 --> 00:34:40,319 Speaker 1: being here. Yeah, I mean it is that are going down, 565 00:34:40,480 --> 00:34:42,759 Speaker 1: So like that. That's the thing is we see there 566 00:34:42,840 --> 00:34:46,560 Speaker 1: are these supporters that we see who are allowed and 567 00:34:46,719 --> 00:34:51,640 Speaker 1: like storming their stay capital without masks and automatic weapons, 568 00:34:51,760 --> 00:34:54,200 Speaker 1: and like that's who we picture as all Trump supporters. 569 00:34:54,280 --> 00:34:58,840 Speaker 1: But you know, he is bleeding you know, support in 570 00:34:58,960 --> 00:35:01,239 Speaker 1: a in a small way, so there there must be. 571 00:35:02,040 --> 00:35:04,840 Speaker 1: And also the low point, like what you know, people 572 00:35:05,080 --> 00:35:09,960 Speaker 1: talk about him kind of saying racist things that get 573 00:35:10,080 --> 00:35:13,239 Speaker 1: him pushback or misogynist things that get pushed back in 574 00:35:13,280 --> 00:35:16,360 Speaker 1: the media, and then his pulling numbers go up. But 575 00:35:16,480 --> 00:35:20,120 Speaker 1: the low point of his approval rating in his presidency 576 00:35:20,400 --> 00:35:24,640 Speaker 1: was after Charlottesville, so like after he said the both 577 00:35:24,760 --> 00:35:27,840 Speaker 1: sides things. So it does seem like there's a limit 578 00:35:28,120 --> 00:35:34,240 Speaker 1: to that that like being openly uh you know, courting 579 00:35:34,560 --> 00:35:38,520 Speaker 1: white supremacists, like open white supremacists, does seem to be 580 00:35:40,000 --> 00:35:45,880 Speaker 1: at least a possibly unpopular or less popular than his 581 00:35:46,200 --> 00:35:49,960 Speaker 1: sort of polite racism. I think the other thing, too, 582 00:35:50,120 --> 00:35:53,720 Speaker 1: is there's nothing that will have a white racist person 583 00:35:53,920 --> 00:35:57,960 Speaker 1: reconsider their racism than another white person telling them that 584 00:35:58,040 --> 00:36:02,680 Speaker 1: their racism is bullshit, because it's easy to ignore, you know, 585 00:36:03,000 --> 00:36:07,080 Speaker 1: non a non white person telling you. But I think 586 00:36:07,120 --> 00:36:09,880 Speaker 1: a lot of people, like we've been saying, if you 587 00:36:10,280 --> 00:36:13,000 Speaker 1: the first step of beginning this work towards any kind 588 00:36:13,040 --> 00:36:15,880 Speaker 1: of just world is to a let your values be 589 00:36:15,960 --> 00:36:19,320 Speaker 1: known to other people, because now if you were racist 590 00:36:19,360 --> 00:36:21,000 Speaker 1: and you thought everybody was quiet because you felt the 591 00:36:21,040 --> 00:36:22,799 Speaker 1: same way, and now you see the streets filled up 592 00:36:22,800 --> 00:36:24,840 Speaker 1: with people that look like you, who are just with 593 00:36:25,080 --> 00:36:27,880 Speaker 1: signs saying but like, you're gonna begin guessing or at 594 00:36:27,960 --> 00:36:30,480 Speaker 1: least some people might take a second to think about it. 595 00:36:30,560 --> 00:36:33,560 Speaker 1: But I think that's what's very powerful too, is I 596 00:36:33,680 --> 00:36:36,000 Speaker 1: feel like there are a decent amount of people I've 597 00:36:36,040 --> 00:36:38,440 Speaker 1: seen two who are kind of also trying to take 598 00:36:38,480 --> 00:36:40,920 Speaker 1: a harder line within the spaces they are in as 599 00:36:41,000 --> 00:36:43,360 Speaker 1: well to not you know, abide by any kind of 600 00:36:43,440 --> 00:36:49,600 Speaker 1: racism or white supremacy. Absolutely, it's the it's the um Yeah, 601 00:36:49,960 --> 00:36:52,640 Speaker 1: I mean, you gotta. It's just it can be challenging 602 00:36:52,680 --> 00:36:55,480 Speaker 1: to know because of the spices we occupy online or 603 00:36:55,520 --> 00:36:59,279 Speaker 1: even amongst a closed circle of friends. I'm imagining, Uh, 604 00:36:59,400 --> 00:37:02,160 Speaker 1: it is limited it to that the fear that we 605 00:37:02,600 --> 00:37:06,040 Speaker 1: exist purely and you know, like I remember the last 606 00:37:06,120 --> 00:37:08,759 Speaker 1: election on Twitter, even when bricks had happened before, because 607 00:37:08,800 --> 00:37:12,720 Speaker 1: that was like the bricks even before Trump got elected, 608 00:37:12,840 --> 00:37:16,279 Speaker 1: right yeah, And I remember seeing that and being like, well, 609 00:37:16,719 --> 00:37:18,960 Speaker 1: I didn't see that coming according to the you know, 610 00:37:19,360 --> 00:37:22,399 Speaker 1: two thousand people I follow on Twitter or whatever, well, 611 00:37:22,640 --> 00:37:25,000 Speaker 1: you know, who thought that they weren't representative of the world. 612 00:37:25,960 --> 00:37:30,480 Speaker 1: And so but certainly within the communities that I've noticed, 613 00:37:31,600 --> 00:37:36,719 Speaker 1: there is a real assertion of um correction and sort 614 00:37:36,760 --> 00:37:40,160 Speaker 1: of you know that the impact of what's happening globally 615 00:37:40,280 --> 00:37:43,440 Speaker 1: is taking taking hold locally, which is you know, that's 616 00:37:43,480 --> 00:37:45,439 Speaker 1: why we've got the march. Here's why people are talking 617 00:37:45,440 --> 00:37:48,839 Speaker 1: to their families here. Even though the conversation is different here, 618 00:37:48,920 --> 00:37:51,360 Speaker 1: it's like, you know, the impact of that is reaching 619 00:37:51,800 --> 00:37:56,120 Speaker 1: further afield, which is cool. Yeah. The one thing I think, 620 00:37:56,160 --> 00:37:58,560 Speaker 1: could you know, I'm not now this is another thing 621 00:37:58,600 --> 00:38:01,000 Speaker 1: that factored into it. I think COVID does have a 622 00:38:01,080 --> 00:38:04,040 Speaker 1: big thing, probably played a big part of it, because 623 00:38:04,040 --> 00:38:06,239 Speaker 1: I'm sure there are people who are racist but also 624 00:38:06,360 --> 00:38:09,239 Speaker 1: fear COVID nineteen and we're kind of like, yeah, as 625 00:38:09,320 --> 00:38:11,440 Speaker 1: much as I want to act like yeah, fuck it, 626 00:38:11,520 --> 00:38:14,359 Speaker 1: I'll get COVID. I think only six thousand people were 627 00:38:14,400 --> 00:38:18,239 Speaker 1: really truly willing to go that far because on some level, 628 00:38:18,280 --> 00:38:20,840 Speaker 1: because I don't think I'm not just gonna say, you know, 629 00:38:20,960 --> 00:38:23,640 Speaker 1: racim has become so unfashionable. Look at the rallies. I 630 00:38:23,760 --> 00:38:26,399 Speaker 1: think there's definitely a group of people to who are 631 00:38:26,600 --> 00:38:28,879 Speaker 1: you know, they are not willing to put their own 632 00:38:28,880 --> 00:38:31,200 Speaker 1: safety at risk ever, so they'd rather be you know, 633 00:38:31,360 --> 00:38:37,200 Speaker 1: racist from the safety of their own home. Scientists the right. 634 00:38:37,840 --> 00:38:40,080 Speaker 1: But then so even like when you look at Florida, 635 00:38:40,200 --> 00:38:43,359 Speaker 1: right the Republican National Convention. You know, there's talks about 636 00:38:43,400 --> 00:38:47,200 Speaker 1: having it in Jacksonville because Rhonda Santis the governor. There's 637 00:38:47,239 --> 00:38:49,319 Speaker 1: like COVID what and I don't know what that, Yeah, 638 00:38:49,360 --> 00:38:51,440 Speaker 1: do whatever you want, come on down. But even when 639 00:38:51,480 --> 00:38:53,080 Speaker 1: you look at there are some polls that came out 640 00:38:53,160 --> 00:38:57,640 Speaker 1: from people in Jacksonville, and by like a ten point margin, 641 00:38:57,800 --> 00:39:01,400 Speaker 1: even the voters in Jacksonville did not want a convention 642 00:39:01,480 --> 00:39:06,359 Speaker 1: there because of the people they pulled were concerned about 643 00:39:06,360 --> 00:39:09,560 Speaker 1: a virus outbreak. Even though like they're clearly based on 644 00:39:09,640 --> 00:39:12,120 Speaker 1: the polling before about how favorable Donald Trump was, like 645 00:39:12,640 --> 00:39:16,880 Speaker 1: it was, you know, forty one in favor against so 646 00:39:16,960 --> 00:39:19,440 Speaker 1: it's you know, pretty split. But even on these things 647 00:39:19,480 --> 00:39:21,920 Speaker 1: when it came down to like the virus, it was 648 00:39:22,120 --> 00:39:24,759 Speaker 1: you were seeing these majorities kind of you know, uh, 649 00:39:25,200 --> 00:39:27,520 Speaker 1: bear out into the in the poll numbers. But there's 650 00:39:27,560 --> 00:39:31,560 Speaker 1: got to be a part of if if somebody is saying, Okay, 651 00:39:31,680 --> 00:39:36,600 Speaker 1: I still support Trump because racism, misogyny like those are 652 00:39:36,840 --> 00:39:40,560 Speaker 1: He's my guy. But then you also are seeing that 653 00:39:40,800 --> 00:39:43,480 Speaker 1: he's telling you it's okay to come out to this rally, 654 00:39:44,080 --> 00:39:47,000 Speaker 1: but you are afraid enough of the virus to know 655 00:39:47,120 --> 00:39:49,920 Speaker 1: that's not true. Like doesn't that have to undercut some 656 00:39:50,120 --> 00:39:53,800 Speaker 1: of their support, like their belief that this person is 657 00:39:53,920 --> 00:39:57,120 Speaker 1: like a good leader, Like I just feel like there's 658 00:39:57,239 --> 00:39:59,239 Speaker 1: not about but it's not about let's say, I think 659 00:39:59,280 --> 00:40:01,440 Speaker 1: it's not about lead or ship, Like these people are 660 00:40:01,480 --> 00:40:04,200 Speaker 1: completely untethered from the concept of what a leader is. 661 00:40:04,360 --> 00:40:07,120 Speaker 1: They just like the TV show where a white man 662 00:40:07,320 --> 00:40:09,560 Speaker 1: is as cruel as possible to people that don't look 663 00:40:09,640 --> 00:40:12,359 Speaker 1: like him or believe what he believes. That's what they're 664 00:40:12,440 --> 00:40:15,080 Speaker 1: in for, like this show, because any person who has 665 00:40:15,200 --> 00:40:18,360 Speaker 1: half a brain about how legislation works would probably be 666 00:40:18,840 --> 00:40:21,319 Speaker 1: really concerned with half the stuff that's going on. I mean, 667 00:40:21,520 --> 00:40:23,160 Speaker 1: I feel like the government now is just playing this 668 00:40:23,280 --> 00:40:25,080 Speaker 1: game with the people of saying like I wonder how 669 00:40:25,160 --> 00:40:27,279 Speaker 1: long do they realize we don't even give a funk 670 00:40:27,280 --> 00:40:30,279 Speaker 1: about the Constitution, but we'll let them sweat it out 671 00:40:30,640 --> 00:40:33,000 Speaker 1: and pretend like it's a thing that because behind the 672 00:40:33,040 --> 00:40:35,480 Speaker 1: scenes we're out here violating that you know what we 673 00:40:35,600 --> 00:40:37,040 Speaker 1: call it just you know, might as well be a 674 00:40:37,160 --> 00:40:42,600 Speaker 1: rolling paper. Yeah, I think the mental gymnastics is required 675 00:40:42,640 --> 00:40:46,920 Speaker 1: to support this party in any respect. It's so it's 676 00:40:47,000 --> 00:40:50,200 Speaker 1: so great. I think people aren't worried or even considering 677 00:40:50,280 --> 00:40:53,120 Speaker 1: the contradictions that is required for them to plead his 678 00:40:53,200 --> 00:40:55,160 Speaker 1: support or go out like, you know, these are the 679 00:40:55,239 --> 00:40:59,080 Speaker 1: mental gymnastics. Means that we've got some mentally agile, although 680 00:40:59,160 --> 00:41:02,920 Speaker 1: all bit in the wrong wise, people like, yeah, well, 681 00:41:02,960 --> 00:41:05,520 Speaker 1: I think because in and of itself right, the idea 682 00:41:05,600 --> 00:41:08,320 Speaker 1: of to be racist to hold those values, and it's 683 00:41:08,360 --> 00:41:12,560 Speaker 1: so absurd to begin with that, the results are gonna 684 00:41:12,680 --> 00:41:16,560 Speaker 1: only be absurd as people have to begin like be 685 00:41:16,680 --> 00:41:19,480 Speaker 1: pulled out of it because it's already absurd, the reasoning 686 00:41:19,560 --> 00:41:22,880 Speaker 1: to stay in it will be just as equally as absurd. Mhm, 687 00:41:23,320 --> 00:41:24,879 Speaker 1: there's not There's not anyone gonna be is like, I'm 688 00:41:25,000 --> 00:41:27,120 Speaker 1: racist because it's good for the environment, and I can 689 00:41:27,239 --> 00:41:29,440 Speaker 1: point to it like no one, no one has reasoning 690 00:41:29,600 --> 00:41:31,719 Speaker 1: like that. It's just that I just think that's just 691 00:41:31,840 --> 00:41:33,560 Speaker 1: the way it is. And you know, like white people 692 00:41:33,640 --> 00:41:36,080 Speaker 1: built the world. And also, I'm not going to acknowledge 693 00:41:36,120 --> 00:41:39,040 Speaker 1: that there wrote a racist history that was force fed 694 00:41:39,120 --> 00:41:40,719 Speaker 1: into my brain as a child. So I only know 695 00:41:40,840 --> 00:41:44,040 Speaker 1: the world through this perspective of white men. But that's 696 00:41:44,080 --> 00:41:46,919 Speaker 1: what I believe, and that's that and other these people 697 00:41:46,960 --> 00:41:49,760 Speaker 1: are unequal to me because I I don't know, because 698 00:41:49,880 --> 00:41:52,200 Speaker 1: that's what I've been told. There's donna say an equal 699 00:41:52,280 --> 00:41:54,320 Speaker 1: fiction with those people who say no, like you know 700 00:41:54,600 --> 00:41:58,000 Speaker 1: that I'm not They say, I'm not racist. This is 701 00:41:58,080 --> 00:42:00,400 Speaker 1: just what I think, which is it's seems to be 702 00:42:00,480 --> 00:42:04,760 Speaker 1: a dividing point now amongst you know, acknowledgement that implicit 703 00:42:04,880 --> 00:42:07,400 Speaker 1: racism exists in all of us because of the structures 704 00:42:07,400 --> 00:42:09,520 Speaker 1: in which you know, the world operates and the way 705 00:42:09,560 --> 00:42:11,239 Speaker 1: that we're brought up in the fact that we're all 706 00:42:11,600 --> 00:42:16,279 Speaker 1: deprogramming and like dismantling this inherently racist system. And so 707 00:42:16,440 --> 00:42:18,680 Speaker 1: the true racists are the ones who now say, no, 708 00:42:19,000 --> 00:42:21,400 Speaker 1: I'm not racist. It's just that this is how it is. 709 00:42:22,520 --> 00:42:25,440 Speaker 1: And you know, like the ability to acknowledge racism within 710 00:42:25,520 --> 00:42:28,200 Speaker 1: yourself as a step towards trying to to heal it, 711 00:42:28,239 --> 00:42:30,120 Speaker 1: I guess. And then you do have these freaky fections 712 00:42:30,120 --> 00:42:33,239 Speaker 1: of people who are proudly racist. Yeah, but then I 713 00:42:33,280 --> 00:42:35,719 Speaker 1: think even those people who want to be intellectual about it, 714 00:42:36,360 --> 00:42:38,960 Speaker 1: it's if they're those people are probably already trying to 715 00:42:39,480 --> 00:42:42,160 Speaker 1: operate in spaces where there are more reasonable people. And 716 00:42:42,239 --> 00:42:44,040 Speaker 1: then when someone would say that to me, I'm like, Okay, 717 00:42:44,120 --> 00:42:46,520 Speaker 1: well I don't care what you think. That's racist, and 718 00:42:46,520 --> 00:42:49,319 Speaker 1: I get the funk out of my face. Well I'll 719 00:42:49,400 --> 00:42:51,000 Speaker 1: let me. I'm like, no, it's not a debate. And 720 00:42:51,080 --> 00:42:53,200 Speaker 1: I think that's what's interesting now is like we're trying 721 00:42:53,239 --> 00:42:57,239 Speaker 1: to be a little more you know, uh, objective, even 722 00:42:57,280 --> 00:42:59,040 Speaker 1: with the language we use when we talk about like 723 00:42:59,400 --> 00:43:03,520 Speaker 1: whether it's talking about comedians and like young women versus 724 00:43:03,760 --> 00:43:06,000 Speaker 1: a child, you know what I mean, if someone is 725 00:43:06,080 --> 00:43:08,520 Speaker 1: not an adult, they are a child. But we use 726 00:43:08,600 --> 00:43:10,680 Speaker 1: these modifiers like we need to be a little more objective. 727 00:43:10,760 --> 00:43:13,399 Speaker 1: Let's let's call it what it is. And before it's 728 00:43:13,600 --> 00:43:15,759 Speaker 1: very easy for people to be like, well, you know, 729 00:43:15,920 --> 00:43:17,919 Speaker 1: that is just sort of what I'm looking at based 730 00:43:17,960 --> 00:43:20,279 Speaker 1: on the data that this is why these people behave 731 00:43:20,360 --> 00:43:23,080 Speaker 1: like this and like now, rather than saying like racially 732 00:43:23,160 --> 00:43:25,360 Speaker 1: charged remarks, people need to be moving towards things of 733 00:43:25,440 --> 00:43:28,040 Speaker 1: just being like, no racist, and it doesn't matter what 734 00:43:28,200 --> 00:43:30,399 Speaker 1: their defense is, because we have to sort of stand 735 00:43:30,440 --> 00:43:34,480 Speaker 1: together as the you know, reasonable community of people and say, no, 736 00:43:34,600 --> 00:43:36,920 Speaker 1: that's that's racism and no matter. You can tell your 737 00:43:36,960 --> 00:43:39,399 Speaker 1: own audience so they can convince themselves, but we will 738 00:43:39,440 --> 00:43:41,200 Speaker 1: not be tricked by that. And I think that's what 739 00:43:41,280 --> 00:43:43,000 Speaker 1: we also have to do is not allow you know, 740 00:43:43,200 --> 00:43:46,120 Speaker 1: that kind of disingenuous discourse to happen in our presence either. 741 00:43:47,400 --> 00:43:49,160 Speaker 1: Did you see the video of christal Leo on a 742 00:43:49,239 --> 00:43:53,600 Speaker 1: podcast finding out that you can save Snapchat? Oh my god, 743 00:43:54,360 --> 00:43:58,520 Speaker 1: it's the whole thing is so dark, it is so 744 00:43:58,880 --> 00:44:01,560 Speaker 1: it is so crazy now because of podcasting and the 745 00:44:01,680 --> 00:44:04,560 Speaker 1: fact that people are videoing their podcasts, just like the 746 00:44:04,800 --> 00:44:09,400 Speaker 1: Mountain of evidence, the paper trayal that these fucking like 747 00:44:09,960 --> 00:44:13,400 Speaker 1: these pedophiles and essence or not even an essance leaving 748 00:44:13,520 --> 00:44:16,680 Speaker 1: behind you know, who would have who would have thought 749 00:44:17,960 --> 00:44:20,920 Speaker 1: you'd get to literally watch him reckon with his actions 750 00:44:21,480 --> 00:44:24,360 Speaker 1: and then also how long ago was that have no 751 00:44:24,560 --> 00:44:30,600 Speaker 1: material impact on how he behaves sociopath It's for people 752 00:44:30,640 --> 00:44:33,399 Speaker 1: who don't know. It's like a podcast where they're talking 753 00:44:33,400 --> 00:44:37,120 Speaker 1: about somebody getting caught. Because I think It was a teacher, 754 00:44:38,040 --> 00:44:42,200 Speaker 1: a woman teacher who had a relationship with a child, 755 00:44:42,680 --> 00:44:47,160 Speaker 1: and she was sending Snapchat messages to the child, and 756 00:44:47,680 --> 00:44:51,680 Speaker 1: the child the child's mom found them and you see Crystal. 757 00:44:52,400 --> 00:44:54,160 Speaker 1: He's like, yeah, yeah, man, that's my star. And you 758 00:44:54,239 --> 00:44:56,920 Speaker 1: can tell like he's not really like thinking about what 759 00:44:57,080 --> 00:44:59,239 Speaker 1: they're talking about because something else is going on, like 760 00:44:59,320 --> 00:45:01,480 Speaker 1: the wheels are learning. And then he's like wait, wait 761 00:45:01,480 --> 00:45:04,919 Speaker 1: wait so so so hold on, hold on so snapchat though, 762 00:45:05,000 --> 00:45:08,080 Speaker 1: Like how do they even find that because Snapchat like 763 00:45:08,160 --> 00:45:10,759 Speaker 1: it disappears right because the kids can do it, they'll know, 764 00:45:10,800 --> 00:45:14,680 Speaker 1: they'll use screen record and then that's how they'll capture it. Oh, 765 00:45:16,320 --> 00:45:19,640 Speaker 1: it's and then just like you just see his career 766 00:45:19,840 --> 00:45:24,160 Speaker 1: flash before his eyes. It's wild. Uh, let's take a 767 00:45:24,440 --> 00:45:37,719 Speaker 1: quick break and we'll be right back. And we're back, 768 00:45:38,520 --> 00:45:44,759 Speaker 1: and let's talk about Columbus, Ohio, hometown of the great 769 00:45:44,800 --> 00:45:50,439 Speaker 1: Cody Johnston of Ohio State University, three hours from place 770 00:45:50,560 --> 00:45:59,240 Speaker 1: I grew up. And uh, named after Christopher Columbus, the director, 771 00:46:00,520 --> 00:46:03,239 Speaker 1: not the director of Goods, which is what I thought 772 00:46:03,360 --> 00:46:06,960 Speaker 1: growing up. I was like, Oh, named after um, that 773 00:46:07,120 --> 00:46:11,839 Speaker 1: guy the lead singer of Genocidal tendencies. No, the great 774 00:46:11,880 --> 00:46:15,920 Speaker 1: explorer Christopher Columbus. Yes, yes, that's what I meant. That 775 00:46:16,160 --> 00:46:21,360 Speaker 1: was flippant. Yeah, they're I mean it's interesting. You know. Again, 776 00:46:21,560 --> 00:46:27,040 Speaker 1: the anti colonies, anti colonizer slaver wave continues. The Teddy 777 00:46:27,160 --> 00:46:30,320 Speaker 1: Roosevelt's White Man on Top statue is going to be 778 00:46:30,400 --> 00:46:33,400 Speaker 1: taken down outside of the Natural History Museum, which is 779 00:46:33,520 --> 00:46:36,120 Speaker 1: you know, again, depending on what side of whether or 780 00:46:36,160 --> 00:46:38,160 Speaker 1: not you like racism, you'll have an opinion on that. 781 00:46:38,640 --> 00:46:40,719 Speaker 1: But the statue itself, I remember seeing it was like, wait, 782 00:46:40,800 --> 00:46:44,240 Speaker 1: it's a like a indigenous person and a black person 783 00:46:44,719 --> 00:46:47,040 Speaker 1: on either side of the horse, and he's a okay, 784 00:46:47,160 --> 00:46:50,320 Speaker 1: well that's an interesting message. So that statue has a 785 00:46:50,360 --> 00:46:53,360 Speaker 1: planned retirement. And then even like the ice cream, the 786 00:46:53,520 --> 00:46:56,759 Speaker 1: Eskimo Pie will no longer be branded as such. I 787 00:46:56,840 --> 00:46:59,279 Speaker 1: think Dryers is the parent company. They're doing away with that. 788 00:46:59,680 --> 00:47:02,520 Speaker 1: And if you want like a Sports Center style recap 789 00:47:02,800 --> 00:47:05,600 Speaker 1: of white supremacy in full panic, just watch Fox News 790 00:47:05,880 --> 00:47:08,120 Speaker 1: because like they almost kick off like every hour with 791 00:47:08,239 --> 00:47:11,000 Speaker 1: like an Eskimo Pie. Now it's like they have like 792 00:47:11,120 --> 00:47:14,480 Speaker 1: this like weird they always tune in with what what 793 00:47:14,680 --> 00:47:19,600 Speaker 1: fucking company woke up today? I guess, uh sort of guffying, um, 794 00:47:19,800 --> 00:47:23,320 Speaker 1: and now you know, Columbus, it's their turn for the 795 00:47:23,560 --> 00:47:26,919 Speaker 1: woke armies of Satan to put their attention upon this name. 796 00:47:27,280 --> 00:47:29,560 Speaker 1: But I think it's it's hard to say, like you're 797 00:47:29,560 --> 00:47:33,880 Speaker 1: gonna just completely rename a city because it's the fucking capital. 798 00:47:33,960 --> 00:47:37,000 Speaker 1: It's like the largest city in the state. There's a 799 00:47:37,560 --> 00:47:40,799 Speaker 1: lot of signs are gonna have to come down. Um. 800 00:47:41,080 --> 00:47:44,120 Speaker 1: But there is a petition right now to have the 801 00:47:44,360 --> 00:47:48,920 Speaker 1: city renamed after a true son of Columbus, Guy Fieri, 802 00:47:49,040 --> 00:47:55,400 Speaker 1: but changed their name to Flavor Town. And I obviously 803 00:47:55,520 --> 00:48:01,600 Speaker 1: that's a good call. I think for now. It's funny 804 00:48:01,640 --> 00:48:06,520 Speaker 1: if it gets over the last right now, because you know, 805 00:48:06,960 --> 00:48:09,440 Speaker 1: I mean, it's good marketing, isn't it. Everyone's gonna want 806 00:48:09,440 --> 00:48:12,719 Speaker 1: to go to Flavor Town. And then what say it 807 00:48:12,880 --> 00:48:15,040 Speaker 1: holds if it's a place att of it somehow? You know, 808 00:48:15,200 --> 00:48:17,879 Speaker 1: sometimes people name these interim things and then they don't 809 00:48:17,880 --> 00:48:21,560 Speaker 1: get around to getting changed. Fifties, sixties, seventy eighty years 810 00:48:21,640 --> 00:48:24,839 Speaker 1: from now, you know, a whole new generation we'll get 811 00:48:24,880 --> 00:48:28,719 Speaker 1: to learn. But this place is called Flavor Town of 812 00:48:28,800 --> 00:48:33,560 Speaker 1: the great Guy Fieri, right, Yeah, absolutely, I don't know. 813 00:48:33,600 --> 00:48:36,000 Speaker 1: I mean the again, this is the thing that we 814 00:48:36,080 --> 00:48:38,280 Speaker 1: were talking about even last week when there were talks 815 00:48:38,320 --> 00:48:41,759 Speaker 1: of like what do you do with Nathaniel Bedford forests, 816 00:48:42,160 --> 00:48:45,719 Speaker 1: you know, statue in the Tennessee capital, Like do you 817 00:48:45,840 --> 00:48:48,720 Speaker 1: put up You're like Dolly Parton because that's a Tennessee 818 00:48:48,760 --> 00:48:50,880 Speaker 1: and being you're proud of. But honestly, I think if 819 00:48:50,880 --> 00:48:54,600 Speaker 1: you're gonna be corrective, you need to put up representations 820 00:48:54,680 --> 00:48:58,360 Speaker 1: of the antithesis of what that former offensive form stood for. 821 00:48:58,760 --> 00:49:01,319 Speaker 1: So if you have someone that is a colonizer, then 822 00:49:01,400 --> 00:49:04,560 Speaker 1: you have to you need to actually set that balance 823 00:49:04,600 --> 00:49:09,160 Speaker 1: off by now enshrining somebody who is about liberation um 824 00:49:09,360 --> 00:49:10,960 Speaker 1: and things like that. I think just as a one 825 00:49:11,000 --> 00:49:13,600 Speaker 1: to one because it could be easy to just be like, yeah, 826 00:49:13,680 --> 00:49:16,280 Speaker 1: that would be fun, let's just replace it with something meaningless. 827 00:49:16,360 --> 00:49:18,440 Speaker 1: But I think just for the the ability for a 828 00:49:18,520 --> 00:49:21,680 Speaker 1: dominant culture to enshrine some of their worst people. Uh, 829 00:49:21,719 --> 00:49:23,919 Speaker 1: and we're trying to actually have some kind of sea change, 830 00:49:24,080 --> 00:49:27,279 Speaker 1: then do the right thing and actually let's celebrate people 831 00:49:27,400 --> 00:49:29,920 Speaker 1: that are we're doing that, we're doing the things that 832 00:49:30,000 --> 00:49:32,560 Speaker 1: are getting us towards the future we're trying to envision. 833 00:49:32,920 --> 00:49:36,799 Speaker 1: I would suggest naming it after a Native American word, 834 00:49:36,880 --> 00:49:40,000 Speaker 1: but that there's no American towns named after a Native 835 00:49:40,040 --> 00:49:43,920 Speaker 1: American word, so that would be just all of them, 836 00:49:45,320 --> 00:49:48,560 Speaker 1: like so many of them. Yeah, I would, I would agree, 837 00:49:48,800 --> 00:49:51,239 Speaker 1: was there what what's the plan for the statutes? Are 838 00:49:51,280 --> 00:49:53,920 Speaker 1: they gonna get melted down? Like the things I I 839 00:49:54,000 --> 00:49:57,520 Speaker 1: would wonder about, is is there a place for you know, 840 00:49:57,880 --> 00:50:00,319 Speaker 1: education through the horrors of the people who have been 841 00:50:00,960 --> 00:50:03,759 Speaker 1: deified and put up in these statues. Is it worth 842 00:50:03,880 --> 00:50:08,640 Speaker 1: creating essentially a you know, a museum of horrors where 843 00:50:08,880 --> 00:50:11,719 Speaker 1: you essentially advertise them with plaques which actually detail what 844 00:50:11,840 --> 00:50:14,560 Speaker 1: they did instead of sort of you know, like, is 845 00:50:14,640 --> 00:50:16,799 Speaker 1: there a revision assistory version of it where we say, 846 00:50:16,880 --> 00:50:19,640 Speaker 1: these are the statues, this is what they actually like, 847 00:50:19,760 --> 00:50:21,760 Speaker 1: here's what they represent. It is is what they actually 848 00:50:21,840 --> 00:50:24,040 Speaker 1: did instead of just trying to sort of sid this 849 00:50:24,239 --> 00:50:27,440 Speaker 1: a ranger approach of saying no, no, no, everything's been 850 00:50:27,520 --> 00:50:30,080 Speaker 1: hunky dory here since dot one. I mean, how do 851 00:50:30,120 --> 00:50:32,280 Speaker 1: you how do you actually you know, what's the proper 852 00:50:32,400 --> 00:50:35,600 Speaker 1: course correction in terms of re educating ourselves and future 853 00:50:35,640 --> 00:50:38,040 Speaker 1: generations on this stuff. I think that's sort of the 854 00:50:38,440 --> 00:50:41,400 Speaker 1: you know, long term discussion about you know, clearly right 855 00:50:41,480 --> 00:50:44,400 Speaker 1: now what the last few weeks have established that there 856 00:50:44,480 --> 00:50:49,120 Speaker 1: is an appetite for some level of equilibrium on some 857 00:50:49,320 --> 00:50:52,000 Speaker 1: whether that's you know, I think for people like us, 858 00:50:52,280 --> 00:50:58,000 Speaker 1: we're talking about full on you know, revamping, dismantling of 859 00:50:58,120 --> 00:51:01,200 Speaker 1: these these systems of oppression. That's the only way I 860 00:51:01,280 --> 00:51:03,320 Speaker 1: think that's the only way we can truly move towards 861 00:51:03,320 --> 00:51:08,320 Speaker 1: any semblance of equality. But again, this is a a 862 00:51:08,480 --> 00:51:12,120 Speaker 1: slow moving machine, um, And I think those steps are 863 00:51:12,160 --> 00:51:14,560 Speaker 1: gonna have They're gonna take they're gonna take time, but 864 00:51:14,719 --> 00:51:17,359 Speaker 1: we have to keep the pressure on. And essentially, yes, 865 00:51:17,440 --> 00:51:18,920 Speaker 1: there is going to have to be some kind of 866 00:51:19,040 --> 00:51:23,879 Speaker 1: like truth and Reconciliation committee something where America as a whole, 867 00:51:24,000 --> 00:51:26,640 Speaker 1: like through our educations like that we are officially taking 868 00:51:26,719 --> 00:51:29,279 Speaker 1: the time to like be like, we really need to 869 00:51:29,400 --> 00:51:33,880 Speaker 1: sit down with what happened before you were born, you know, 870 00:51:34,000 --> 00:51:37,759 Speaker 1: and remember what the momentum was your life carried into 871 00:51:37,840 --> 00:51:40,560 Speaker 1: this moment because it's off the it's off the back 872 00:51:40,600 --> 00:51:43,320 Speaker 1: of a lot of blood, um, And we were just 873 00:51:43,680 --> 00:51:46,080 Speaker 1: we just did a really good job of doing the 874 00:51:46,160 --> 00:51:48,759 Speaker 1: thing of like well that's not actually, yes, I think 875 00:51:48,880 --> 00:51:51,600 Speaker 1: my parents sucks but I don't want to think about 876 00:51:51,680 --> 00:51:53,440 Speaker 1: it because it's my parents, you know, and they gave 877 00:51:53,520 --> 00:51:56,600 Speaker 1: me life or whatever. But sometimes you have to be like, yo, 878 00:51:56,960 --> 00:52:00,200 Speaker 1: this this parent is a straight up piece of shit. Um, 879 00:52:00,400 --> 00:52:02,520 Speaker 1: but it's okay because I'm not a piece of ship, 880 00:52:02,920 --> 00:52:05,279 Speaker 1: and all I can do is at the very least 881 00:52:05,760 --> 00:52:08,040 Speaker 1: acknowledge what a piece of ship looks like. So we 882 00:52:08,200 --> 00:52:12,719 Speaker 1: no longer have more pieces of ship out here running things. Yeah. 883 00:52:13,719 --> 00:52:16,759 Speaker 1: I do really like the idea. I mean, all all 884 00:52:16,920 --> 00:52:24,680 Speaker 1: of the really rich, fascinating cultures and uh intricate histories 885 00:52:24,760 --> 00:52:27,759 Speaker 1: that were just completely wiped out by these assholes. Uh 886 00:52:28,120 --> 00:52:32,719 Speaker 1: Like there there's you could fill all every square foot 887 00:52:32,719 --> 00:52:36,640 Speaker 1: of America with testaments to that stuff, and that is 888 00:52:37,880 --> 00:52:40,319 Speaker 1: way more interesting than the version of history that they 889 00:52:40,719 --> 00:52:44,440 Speaker 1: give kids currently. Um oh yeah, I mean like it's 890 00:52:44,440 --> 00:52:47,320 Speaker 1: almost like you could do a series and maybe we 891 00:52:47,360 --> 00:52:49,960 Speaker 1: should not include this, but I honestly think if you 892 00:52:50,000 --> 00:52:53,040 Speaker 1: did a podcast that was about your city and it 893 00:52:53,200 --> 00:52:56,399 Speaker 1: was a true crime podcast of how fucked your city 894 00:52:56,520 --> 00:52:59,880 Speaker 1: has been that you don't know about, people would just 895 00:53:00,040 --> 00:53:01,960 Speaker 1: have their minds blown. And people didn't know that like 896 00:53:02,200 --> 00:53:05,120 Speaker 1: in Pasadena, like black people couldn't like own property there 897 00:53:05,160 --> 00:53:06,880 Speaker 1: to like the sixties, you know what I mean, and 898 00:53:06,920 --> 00:53:09,360 Speaker 1: that people look at Pasadena now like, oh, it's so 899 00:53:09,440 --> 00:53:11,880 Speaker 1: many like liberal, you know, white people. But again we 900 00:53:11,920 --> 00:53:14,839 Speaker 1: have to remember like what liberal means versus like progressive 901 00:53:15,000 --> 00:53:17,640 Speaker 1: or leftist or someone who was actually fighting for equality, 902 00:53:17,680 --> 00:53:19,840 Speaker 1: because liberal just means like you're willing to stomach a 903 00:53:19,880 --> 00:53:24,759 Speaker 1: certain level of white supremacy until a point. Well, guys, 904 00:53:24,840 --> 00:53:30,399 Speaker 1: let's talk about Scientology. Let's let's just switch switch tracks. Um, 905 00:53:30,640 --> 00:53:36,520 Speaker 1: not really. So Scientology has been using, uh, the pandemic 906 00:53:36,680 --> 00:53:40,840 Speaker 1: to recruit people. They've been giving out like in a 907 00:53:40,960 --> 00:53:45,719 Speaker 1: really like kind of subtle way that suggests to me 908 00:53:45,920 --> 00:53:49,040 Speaker 1: that they are bad at recruiting people because they're like 909 00:53:49,480 --> 00:53:52,239 Speaker 1: in some cases they're handing out just pamphlets that are 910 00:53:52,360 --> 00:53:57,200 Speaker 1: actual informational pamphlets about COVID nineteen that look almost exactly 911 00:53:57,320 --> 00:54:01,839 Speaker 1: like the government issued booklet. This is actually in New Zealand. Guy. Oh, well, 912 00:54:01,920 --> 00:54:05,120 Speaker 1: on the back there was a QR code that leads 913 00:54:05,239 --> 00:54:09,560 Speaker 1: to the Church of Scientology website, which sounds like a 914 00:54:09,719 --> 00:54:12,919 Speaker 1: very convoluted way of getting people to go to show 915 00:54:13,000 --> 00:54:16,640 Speaker 1: up at your website and feel tricked at being there. Um, 916 00:54:17,760 --> 00:54:22,959 Speaker 1: But they were kind of flooding different restaurants and retailers 917 00:54:23,880 --> 00:54:26,840 Speaker 1: in New Zealand, all those places that you are allowed 918 00:54:26,880 --> 00:54:30,640 Speaker 1: to go that are but a distant memory for us. 919 00:54:31,520 --> 00:54:36,360 Speaker 1: The timing of the release of these pamphlets is a 920 00:54:36,480 --> 00:54:40,040 Speaker 1: touch off. When curiosity about how to kick ourselves against 921 00:54:40,120 --> 00:54:42,920 Speaker 1: COVID nineteen, it would be fit to say it's probably 922 00:54:42,960 --> 00:54:46,640 Speaker 1: tapering off, all right, you know, to read the whole 923 00:54:46,719 --> 00:54:51,239 Speaker 1: booklet and then scan the q I code thinking I 924 00:54:51,360 --> 00:54:55,799 Speaker 1: need more. Can you imagine? I don't think I've ever 925 00:54:56,000 --> 00:54:59,680 Speaker 1: they see a single visit from that. I've never scanned 926 00:54:59,719 --> 00:55:02,480 Speaker 1: a sucking QR code unless it was for something like 927 00:55:02,600 --> 00:55:05,480 Speaker 1: I had to do in that moment to connect some 928 00:55:05,640 --> 00:55:09,280 Speaker 1: piece of hardware to another thing. I've never been like, damn, 929 00:55:09,440 --> 00:55:11,920 Speaker 1: that was a good fucking soda. Hold on, let me 930 00:55:12,000 --> 00:55:14,279 Speaker 1: scan this QR code on the back real quick because 931 00:55:14,440 --> 00:55:17,920 Speaker 1: I must know more q I. I thought they were 932 00:55:18,000 --> 00:55:20,600 Speaker 1: total right off, but QR codes have become very huge, 933 00:55:20,800 --> 00:55:24,800 Speaker 1: like especially because we had these phases of lockdown and 934 00:55:24,840 --> 00:55:26,920 Speaker 1: when we east into Level two, which mean that we 935 00:55:26,960 --> 00:55:30,440 Speaker 1: were allowed to return to cafes and restaurants. The contact 936 00:55:30,520 --> 00:55:33,239 Speaker 1: tracing in New Zealand, in the everywhere you went, every 937 00:55:33,280 --> 00:55:35,440 Speaker 1: business head to have a QR code that you'd scanned 938 00:55:35,560 --> 00:55:38,680 Speaker 1: and you'd log many. Yeah, it's known to the media. 939 00:55:38,760 --> 00:55:41,880 Speaker 1: It's just it's just literally so there's a data working database. 940 00:55:42,440 --> 00:55:44,440 Speaker 1: But I was blown away. I thought that these things 941 00:55:44,520 --> 00:55:47,560 Speaker 1: were done. But QR codes really to the four so 942 00:55:47,880 --> 00:55:51,480 Speaker 1: good on scientology for piggybacking on the movement, I guess 943 00:55:52,280 --> 00:55:55,479 Speaker 1: I like time in many respects as well. I jumped 944 00:55:55,480 --> 00:55:57,640 Speaker 1: to the assumption like, oh, the QR code is to 945 00:55:57,719 --> 00:55:59,840 Speaker 1: show you like a menu of things for you to consume, 946 00:56:00,040 --> 00:56:03,720 Speaker 1: like no, for like to keep things, like to trace 947 00:56:03,840 --> 00:56:05,800 Speaker 1: things and make sure we know as much as possible. 948 00:56:05,840 --> 00:56:11,239 Speaker 1: I'm like, what, oh, Like, so people are doing sacrifice, 949 00:56:11,239 --> 00:56:13,919 Speaker 1: how do you buy it in the most minimal way? 950 00:56:14,080 --> 00:56:19,440 Speaker 1: Their individual rights for the collective good? That doesn't doesn't 951 00:56:20,520 --> 00:56:22,800 Speaker 1: some some of us are doing it, but grudgingly. I 952 00:56:22,840 --> 00:56:25,560 Speaker 1: would imagine, Like you know, there's always there's always pushed 953 00:56:25,560 --> 00:56:28,160 Speaker 1: back where people say, I don't want the government to 954 00:56:28,320 --> 00:56:32,680 Speaker 1: know where are we today. It's like you're not that 955 00:56:32,880 --> 00:56:37,440 Speaker 1: interesting Greek like, man, you're on Facebook. You're on Facebook 956 00:56:37,600 --> 00:56:44,960 Speaker 1: checking into supermarkets like okay, um, But I didn't. I didn't. 957 00:56:45,000 --> 00:56:47,680 Speaker 1: I didn't know that it's amazing to think that the 958 00:56:47,800 --> 00:56:51,239 Speaker 1: Church of Scientologies, if it's, have somehow registered on the 959 00:56:51,880 --> 00:56:55,120 Speaker 1: news cycle of America and in New Zealand where they're 960 00:56:55,120 --> 00:56:58,160 Speaker 1: targeting us. I say that, I mean maybe my friends 961 00:56:58,200 --> 00:57:03,120 Speaker 1: have been quietly recruited. They didn't. They keep talking about diagnostics. 962 00:57:03,200 --> 00:57:05,880 Speaker 1: They want to give me a pissonality taste. But I 963 00:57:06,000 --> 00:57:09,160 Speaker 1: just figured that would goofing around. You guy, there appears 964 00:57:09,160 --> 00:57:12,560 Speaker 1: to be an e meter behind you in your on 965 00:57:12,719 --> 00:57:15,759 Speaker 1: your bookshelf. No, you'ren't gonna worry about that. That's uh, 966 00:57:17,120 --> 00:57:22,160 Speaker 1: that's just to make show everything's don't be a suppressive person, jack, right. 967 00:57:25,440 --> 00:57:30,320 Speaker 1: But you know, David the Scavenge, they're kind of Scientology 968 00:57:30,440 --> 00:57:36,000 Speaker 1: Pope in a memo in March called the Pandemic Hysteria. 969 00:57:36,200 --> 00:57:38,920 Speaker 1: So we know where they ultimately stand. Even though they 970 00:57:38,960 --> 00:57:42,960 Speaker 1: were giving out some helpful information with that was designed 971 00:57:43,120 --> 00:57:47,280 Speaker 1: to bring people to their website, there was that cruise 972 00:57:47,400 --> 00:57:51,520 Speaker 1: to that. Remember that, like the like a few ports 973 00:57:51,600 --> 00:57:54,280 Speaker 1: rejected them because they're like, this sounds like a COVID 974 00:57:54,400 --> 00:57:59,640 Speaker 1: boat we aren't willing to deal with. Yeah, they treat 975 00:57:59,800 --> 00:58:03,240 Speaker 1: the air um like sea org. I guess it is 976 00:58:03,320 --> 00:58:05,919 Speaker 1: the people who sign away their rights to the Church 977 00:58:06,000 --> 00:58:09,840 Speaker 1: of Scientology for a billion years. Uh, they treat them 978 00:58:09,960 --> 00:58:13,440 Speaker 1: very badly. The healthcare plan for the Sea org not 979 00:58:13,680 --> 00:58:17,480 Speaker 1: great it turns out, but just all around you know 980 00:58:17,840 --> 00:58:20,240 Speaker 1: that they've got to do something now that you know, 981 00:58:20,480 --> 00:58:25,680 Speaker 1: a long term l ap D investigation into Danny Masterson's 982 00:58:26,280 --> 00:58:30,520 Speaker 1: sexual assault of three women has now uh you know, 983 00:58:30,640 --> 00:58:35,280 Speaker 1: they're they've issued charges um and the Church of Scientology 984 00:58:35,440 --> 00:58:40,520 Speaker 1: was ultimately uh involved. It would appear in kind of 985 00:58:40,600 --> 00:58:44,520 Speaker 1: suppressing those accusations and you know, pushing back, and it 986 00:58:44,600 --> 00:58:48,400 Speaker 1: seems like they might be their influence and power in 987 00:58:48,840 --> 00:58:52,920 Speaker 1: the United States might be on the way. M h. 988 00:58:53,320 --> 00:58:56,200 Speaker 1: It feels like slowly if you put all of the 989 00:58:56,320 --> 00:59:00,800 Speaker 1: news stories together, while it is an incredibly uh you know, 990 00:59:01,800 --> 00:59:06,240 Speaker 1: full on time to be alive. You know, Scientology is 991 00:59:06,280 --> 00:59:11,200 Speaker 1: on the Wayne White supremacies, on the Waine whatso this right? 992 00:59:12,080 --> 00:59:14,400 Speaker 1: I mean Scientology if they're smart, right, because like in 993 00:59:14,640 --> 00:59:16,640 Speaker 1: l A, I get why some people fall into it 994 00:59:16,720 --> 00:59:19,400 Speaker 1: because they can at the time in the nineties in 995 00:59:19,520 --> 00:59:21,360 Speaker 1: early two thousands, you can go down a list of 996 00:59:21,440 --> 00:59:25,920 Speaker 1: celebrities who were famous and make this weird connection that like, Okay, 997 00:59:26,000 --> 00:59:27,760 Speaker 1: if I do this, then I can be as famous 998 00:59:27,840 --> 00:59:30,960 Speaker 1: as this person. But like when you look at now, 999 00:59:31,480 --> 00:59:33,840 Speaker 1: how like young kids who they want to be. It's 1000 00:59:33,880 --> 00:59:36,800 Speaker 1: not fucking movie stars. They want to be like vloggers 1001 00:59:36,960 --> 00:59:39,440 Speaker 1: and TikTokers and ship. So they need to get their 1002 00:59:39,440 --> 00:59:42,360 Speaker 1: ass over there and start recruiting those people or else 1003 00:59:42,760 --> 00:59:44,920 Speaker 1: you think you think you're gonna tell some sixteen year old, 1004 00:59:44,960 --> 00:59:46,960 Speaker 1: oh you want to be like old, asked Tom Cruise 1005 00:59:48,480 --> 00:59:50,760 Speaker 1: or fucking John Travolta. They were like who the fund 1006 00:59:50,840 --> 00:59:52,880 Speaker 1: is John Travolta? And they're like, what is this movie 1007 00:59:53,200 --> 00:59:57,120 Speaker 1: with the old problematic white men with dreadlocks? What is 1008 00:59:57,200 --> 01:00:05,120 Speaker 1: this ship John Travolta of of Gatti fame? Right exactly? 1009 01:00:05,200 --> 01:00:06,960 Speaker 1: Like that's probably what a kid is going to remember 1010 01:00:07,080 --> 01:00:09,360 Speaker 1: him from. They're like, oh, that that guy was in 1011 01:00:09,440 --> 01:00:11,560 Speaker 1: a movie before that. Remember like when you were a 1012 01:00:11,680 --> 01:00:14,200 Speaker 1: kid and some some there would be an old person 1013 01:00:14,240 --> 01:00:15,880 Speaker 1: in a movie and your parents would be like hyped 1014 01:00:15,880 --> 01:00:17,920 Speaker 1: and you're like, who the funk are you talking about? 1015 01:00:18,600 --> 01:00:20,720 Speaker 1: Like when Max von sid Oh was in like Bill 1016 01:00:20,800 --> 01:00:23,680 Speaker 1: and Ted and like as Death and my mom was like, wow, 1017 01:00:23,840 --> 01:00:25,800 Speaker 1: he's back, and like who is this old ass man? 1018 01:00:26,320 --> 01:00:28,680 Speaker 1: And then you're like, oh, this man had a historic career. 1019 01:00:28,800 --> 01:00:32,400 Speaker 1: But I'm young and I only know from this moment forward. Yeah, 1020 01:00:32,600 --> 01:00:35,800 Speaker 1: it's like happy Days jokes and like mash references and 1021 01:00:35,920 --> 01:00:38,480 Speaker 1: stuff that I was just like, Man, I don't know 1022 01:00:38,880 --> 01:00:41,320 Speaker 1: what the funk you're talking about. But as I became 1023 01:00:41,360 --> 01:00:44,680 Speaker 1: a fan of comedy, like that was all over the place, 1024 01:00:44,840 --> 01:00:48,360 Speaker 1: like in the Simpsons and stuff like that. Right, anyways, Guy, 1025 01:00:49,160 --> 01:00:53,080 Speaker 1: it's been a pleasure having you. Where can people find 1026 01:00:53,160 --> 01:00:57,400 Speaker 1: you and follow you? You can find me and guy 1027 01:00:57,800 --> 01:01:02,280 Speaker 1: under school mont on Twitter and Instagram, And I gotta 1028 01:01:02,320 --> 01:01:08,240 Speaker 1: tell you sometimes I post content if that's where you're after, 1029 01:01:08,680 --> 01:01:14,160 Speaker 1: I'm your dude. Nice. Uh? And is there a tweeter 1030 01:01:14,240 --> 01:01:18,000 Speaker 1: or some other work of social media you've been enjoying? Uh, 1031 01:01:18,240 --> 01:01:20,520 Speaker 1: there wasn't. I'm actually just finding the tweet. This one 1032 01:01:20,640 --> 01:01:24,840 Speaker 1: tickled me really well. This is from someone called Camilla 1033 01:01:24,920 --> 01:01:30,400 Speaker 1: Blackett at Camilla d My guy now told me that 1034 01:01:30,480 --> 01:01:32,560 Speaker 1: in her twenty years of practice, I of the strongest 1035 01:01:32,640 --> 01:01:35,800 Speaker 1: pelvic floor she's ever seen. So if you feel a 1036 01:01:35,880 --> 01:01:38,200 Speaker 1: shifting energy when I enter the room, it's because this 1037 01:01:38,360 --> 01:01:46,720 Speaker 1: is the level of confidence I'm walking with now, um miles, 1038 01:01:46,760 --> 01:01:49,280 Speaker 1: Where can people find you and follow you? And what's 1039 01:01:49,280 --> 01:01:54,840 Speaker 1: a tweet You've been enjoying Twitter, Instagram, uh, PlayStation network, 1040 01:01:54,920 --> 01:01:57,440 Speaker 1: Miles of Gray. Also my other podcast for twenty Day Fiance. 1041 01:01:57,600 --> 01:02:00,439 Speaker 1: If you like ninety day Fiance checked that show out. 1042 01:02:00,920 --> 01:02:04,200 Speaker 1: Um And a tweet I like is from at doctor Zoom. 1043 01:02:04,760 --> 01:02:08,320 Speaker 1: Uh and this is just kind of it's it's truly 1044 01:02:08,800 --> 01:02:12,240 Speaker 1: a snapshot of where we are. He tweets Breaking USA 1045 01:02:12,360 --> 01:02:18,680 Speaker 1: achieves one onion slash reality parody and the first uh 1046 01:02:18,880 --> 01:02:22,120 Speaker 1: thing is as a headline from the Washington Post that says, 1047 01:02:22,160 --> 01:02:25,440 Speaker 1: amid threats in political pushback, public health officials are leaving 1048 01:02:25,480 --> 01:02:27,960 Speaker 1: their posts. This is a post from the Onion in 1049 01:02:29,640 --> 01:02:33,600 Speaker 1: said nations experts give up Washington d C. Citing years 1050 01:02:33,600 --> 01:02:37,520 Speaker 1: of frustration over their advice being misunderstood, misrepresented, or simply ignored. 1051 01:02:37,560 --> 01:02:42,320 Speaker 1: America's foremost experts in every field collectively tendered their resignation Monday. 1052 01:02:42,880 --> 01:02:48,000 Speaker 1: Uh and it's Jesus, yeah, you know. So you can't 1053 01:02:48,040 --> 01:02:50,600 Speaker 1: say you're when you're watching a car crash and slow motion. 1054 01:02:50,680 --> 01:02:56,120 Speaker 1: You can't be surprised when it's ending in a crash, right. Uh. 1055 01:02:56,840 --> 01:03:00,640 Speaker 1: Tweet I've been enjoying from soul Nate at M Nate 1056 01:03:00,800 --> 01:03:04,760 Speaker 1: Shamalan tweeted me this is my invention. I call it 1057 01:03:05,000 --> 01:03:08,640 Speaker 1: the Q tip marketing guy, what's it for me? So 1058 01:03:08,920 --> 01:03:11,800 Speaker 1: many things? Just don't stick it in your ears? Marketing guy, 1059 01:03:11,960 --> 01:03:17,480 Speaker 1: yours full of que tips? Sorry what You can find 1060 01:03:17,520 --> 01:03:20,080 Speaker 1: me on Twitter, Jack Underscore O'Brien find us on Twitter 1061 01:03:20,120 --> 01:03:23,360 Speaker 1: at Daily Zygeys. Were at the Daily Zygeys on Instagram. 1062 01:03:23,400 --> 01:03:26,000 Speaker 1: We have a Facebook campage and a website Daily zike 1063 01:03:26,240 --> 01:03:28,760 Speaker 1: dot com where we post our episodes and our foot 1064 01:03:29,680 --> 01:03:31,560 Speaker 1: where we link off to the information that we talked 1065 01:03:31,560 --> 01:03:35,200 Speaker 1: about in today's episode, as well as the song we 1066 01:03:35,640 --> 01:03:40,400 Speaker 1: ride out on mile What are we riding into the week? 1067 01:03:42,720 --> 01:03:47,520 Speaker 1: I think this? Uh So, on yesterday's episode, we went 1068 01:03:47,600 --> 01:03:50,520 Speaker 1: out on a track by fellow COUTI and I want 1069 01:03:50,560 --> 01:03:54,880 Speaker 1: to actually keep that that without momentum going um. This 1070 01:03:55,120 --> 01:03:58,960 Speaker 1: is a track from a group called Classica Orchestra Acrobeat, 1071 01:03:59,040 --> 01:04:01,120 Speaker 1: and they used it's very I don't know. To me, 1072 01:04:01,160 --> 01:04:03,400 Speaker 1: it's a very interesting conversation, you know, if I'm gonna 1073 01:04:03,440 --> 01:04:06,640 Speaker 1: get deep with it. With classical instruments coming from Europe, 1074 01:04:07,040 --> 01:04:09,760 Speaker 1: uh and those are being brought by colonizers to Africa 1075 01:04:09,840 --> 01:04:12,840 Speaker 1: and then use those instruments to play African music. I 1076 01:04:12,920 --> 01:04:15,680 Speaker 1: think it's an interesting conversation. Uh, and so this is 1077 01:04:15,800 --> 01:04:20,080 Speaker 1: their rendition of the iconic Fellow Couci track Zombie. So 1078 01:04:20,200 --> 01:04:25,200 Speaker 1: this is Zombie by Classica Orchestra Africa. All right, well, 1079 01:04:25,280 --> 01:04:27,280 Speaker 1: the Daily that guys is the production of I Heart 1080 01:04:27,360 --> 01:04:29,720 Speaker 1: Radio from more podcasts from my Heart Radio visits, the 1081 01:04:29,960 --> 01:04:32,800 Speaker 1: heart Radio app, Apple podcast or wherever you listening your 1082 01:04:32,800 --> 01:04:36,160 Speaker 1: favorite shows. That is going to do it for this morning. 1083 01:04:36,240 --> 01:04:38,400 Speaker 1: We'll be back with afternoon to tell you what's trending 1084 01:04:38,560 --> 01:04:41,240 Speaker 1: and we will talk to you then Bye bye bye, 1085 01:04:56,320 --> 01:05:04,680 Speaker 1: Zoombiz done, Be yours homby. Don't be knockna Cole unless 1086 01:05:04,800 --> 01:05:07,640 Speaker 1: you tell I'm too cool. Don't be knock going to 1087 01:05:07,680 --> 01:05:11,840 Speaker 1: stop unless you tell Stone, don't be KNOCKO think. Let's 1088 01:05:11,880 --> 01:05:15,360 Speaker 1: it teller, I'm to think, don't be knock co Unlet's 1089 01:05:15,400 --> 01:05:18,880 Speaker 1: you turn that done be it was b