1 00:00:00,080 --> 00:00:04,080 Speaker 1: Hello the Internet, and welcome to Season one seventy three, 2 00:00:04,080 --> 00:00:09,079 Speaker 1: Episode three jist, a production of I Heart Radio. I 3 00:00:09,160 --> 00:00:10,960 Speaker 1: kind of pause there because I can't I can't believe. 4 00:00:11,039 --> 00:00:14,840 Speaker 1: Season one seventy three, Holy Shop, put it down, put 5 00:00:14,840 --> 00:00:18,079 Speaker 1: the mic down. Uh, yeah, we're gonna walk away. One 6 00:00:18,120 --> 00:00:21,480 Speaker 1: seventy three feels like you good number what we've always 7 00:00:21,480 --> 00:00:25,040 Speaker 1: been working towards nice round number. Uh. This is a 8 00:00:25,079 --> 00:00:28,720 Speaker 1: podcast where we take a deep dive into America's share consciousness. 9 00:00:28,800 --> 00:00:32,919 Speaker 1: It is Wednesday, February one. My name is Jack O'Brien, 10 00:00:32,920 --> 00:00:37,479 Speaker 1: a K Good googlely moogle Lie, Miles Calves or Juicy 11 00:00:37,640 --> 00:00:41,640 Speaker 1: good googlely Moogle, Lee, Jack's thighs or pastey. That is 12 00:00:41,720 --> 00:00:45,600 Speaker 1: courtesy of Ginger w and I'm thrilled to be joined 13 00:00:45,640 --> 00:00:49,920 Speaker 1: as always by my co host, Mr Miles. This is 14 00:00:49,920 --> 00:00:56,200 Speaker 1: for all the d regulators out there. We're coming for you. 15 00:00:56,240 --> 00:01:00,280 Speaker 1: Came up, Um, it was a cool black night. It's nope, 16 00:01:00,320 --> 00:01:02,840 Speaker 1: too soon. Teddy Seat was on the streets flying to 17 00:01:03,040 --> 00:01:05,959 Speaker 1: Cancoona Break four, the kids, trying to be a good dad, 18 00:01:06,040 --> 00:01:08,960 Speaker 1: just flying on the slice, slinging back home. Just hit 19 00:01:09,040 --> 00:01:11,959 Speaker 1: the wrong side of THERC on the mission, trying to 20 00:01:12,000 --> 00:01:15,880 Speaker 1: side billionaires, jeez, and electricity bills. No need to tweet 21 00:01:16,040 --> 00:01:20,000 Speaker 1: all you sim's gonna pay times to one three. Thank 22 00:01:20,040 --> 00:01:25,600 Speaker 1: you two bottles and fans that time. Yeah, bro, your 23 00:01:26,000 --> 00:01:30,920 Speaker 1: your bill will be times to one. Uh surge pricing 24 00:01:31,319 --> 00:01:38,959 Speaker 1: exactly two. Nate dog forgot about uh? Nate loved you? 25 00:01:40,319 --> 00:01:43,720 Speaker 1: What a some of the all time great vocal performances. 26 00:01:44,319 --> 00:01:47,680 Speaker 1: H and also singing in a way that and this 27 00:01:47,760 --> 00:01:49,880 Speaker 1: has nothing to do with your performance, Just think because 28 00:01:49,880 --> 00:01:53,280 Speaker 1: I was beautiful, but like that makes people who can't 29 00:01:53,320 --> 00:01:55,960 Speaker 1: sing like feel like they can sing along. That's like 30 00:01:56,160 --> 00:01:59,120 Speaker 1: I always felt like I could sing along. And I 31 00:01:59,160 --> 00:02:02,120 Speaker 1: think because his his range is isn't you know he's 32 00:02:02,160 --> 00:02:09,880 Speaker 1: not he's not two undree, Yeah it's yeah, it's yeah. Uh. Well, 33 00:02:09,919 --> 00:02:12,760 Speaker 1: we are thrilled to be joined in our third seat 34 00:02:12,960 --> 00:02:16,880 Speaker 1: by a first time guest here on t VS. Uh. 35 00:02:16,919 --> 00:02:19,919 Speaker 1: He is the brilliant, the talented. You may know him 36 00:02:19,960 --> 00:02:26,520 Speaker 1: from behind the bastards. He is Mr Garrison David. Hi. 37 00:02:27,480 --> 00:02:32,160 Speaker 1: I'm not I'm the person who's not gonna sing out 38 00:02:32,200 --> 00:02:34,440 Speaker 1: of out of like the three talents I have, music 39 00:02:34,520 --> 00:02:37,240 Speaker 1: is not one of them. The three. What are the 40 00:02:37,280 --> 00:02:39,440 Speaker 1: three that you would consider if if you're a superhero, 41 00:02:39,639 --> 00:02:44,520 Speaker 1: your abilities, standing in absurd amounts of chemical weapons, holding 42 00:02:44,520 --> 00:02:49,600 Speaker 1: a camera steadily, um, doing a whole bunch of research 43 00:02:49,600 --> 00:02:53,040 Speaker 1: into Nazis without getting like super depressed. It's still still 44 00:02:53,040 --> 00:02:55,720 Speaker 1: pretty depressed, but not I'm not depressed to the point 45 00:02:55,760 --> 00:02:58,240 Speaker 1: where I can't function. I just don't have to keep 46 00:02:58,280 --> 00:03:00,920 Speaker 1: the work going exactly like I hear ro would. Yeah, 47 00:03:01,040 --> 00:03:03,720 Speaker 1: and then I guess my last talent would be climbing 48 00:03:03,760 --> 00:03:10,560 Speaker 1: and jumping stuff. Yeah. Yeah. I was actually a Parker 49 00:03:10,600 --> 00:03:12,840 Speaker 1: instructor for like a few years before I started doing 50 00:03:12,880 --> 00:03:18,440 Speaker 1: whatever whatever I do now, reporting on extremism. Yeah that, yeah, 51 00:03:21,840 --> 00:03:26,720 Speaker 1: to its Sorry, I mean so I think we can 52 00:03:26,960 --> 00:03:34,079 Speaker 1: just say this dude is extreme. H Yeah, Garrison, you're 53 00:03:34,120 --> 00:03:37,400 Speaker 1: also young to the point that you had never heard 54 00:03:37,440 --> 00:03:41,040 Speaker 1: That was the first time you had heard regulators or 55 00:03:41,120 --> 00:03:44,880 Speaker 1: anything of the yeah era. Are you familiar with the 56 00:03:44,920 --> 00:03:48,200 Speaker 1: g funk era? No, okay, that's I am. I'm a 57 00:03:48,200 --> 00:03:55,480 Speaker 1: capital Z zoomer zoomer cool. Well do you hate us? 58 00:03:57,640 --> 00:04:00,240 Speaker 1: All my friends are people in their thirties, are right? 59 00:04:00,320 --> 00:04:01,880 Speaker 1: I know, Like I see the people you run with. 60 00:04:01,960 --> 00:04:08,160 Speaker 1: I'm like, he's all right, Garrison, We're going to get 61 00:04:08,200 --> 00:04:10,240 Speaker 1: to know you a little bit better in a moment. First, 62 00:04:10,240 --> 00:04:12,040 Speaker 1: we're gonna tell our listeners a couple of things we're 63 00:04:12,040 --> 00:04:16,560 Speaker 1: talking about today. We are going to continue with our 64 00:04:16,600 --> 00:04:21,719 Speaker 1: ongoing coverage of the Texas factory off the charts right 65 00:04:21,760 --> 00:04:26,760 Speaker 1: now companies are not being cool to their employees shockingly, 66 00:04:27,400 --> 00:04:31,600 Speaker 1: uh in in the lone Star State. Yeah, we're gonna 67 00:04:31,600 --> 00:04:37,120 Speaker 1: talk about Rudy Giuliani's uh, the Chase film that he's 68 00:04:37,160 --> 00:04:42,279 Speaker 1: been starring in for the last few days, SloMo Chase film. Uh. 69 00:04:42,320 --> 00:04:47,320 Speaker 1: We'll talk about the five hundred thousand lives that have 70 00:04:47,400 --> 00:04:53,239 Speaker 1: been lost due to the COVID pandemic and how there 71 00:04:53,560 --> 00:04:59,760 Speaker 1: is inequal distribution across racial and ethnic groups and why 72 00:04:59,800 --> 00:05:04,200 Speaker 1: that is. And uh, we'll talk about Joe Biden. Just 73 00:05:04,360 --> 00:05:07,680 Speaker 1: a little update with Joe Uh, where he's at with 74 00:05:07,720 --> 00:05:12,680 Speaker 1: the wealth tax, with releasing children from cages. I watched 75 00:05:12,920 --> 00:05:15,919 Speaker 1: I care a lot. I wanted to check in with that. 76 00:05:15,920 --> 00:05:19,200 Speaker 1: That's like the number one thing on Netflix right now. 77 00:05:20,120 --> 00:05:24,520 Speaker 1: I want to talk about the next great film franchise, 78 00:05:25,040 --> 00:05:30,719 Speaker 1: Blade Force. Um based on just a video, a news 79 00:05:30,800 --> 00:05:34,880 Speaker 1: video someone tweeted to us about some roller blade cops 80 00:05:35,240 --> 00:05:43,440 Speaker 1: and saw, uh so cool. Uh. And we will also 81 00:05:43,480 --> 00:05:47,000 Speaker 1: talk about the jeep Cherokee h and why they should 82 00:05:47,040 --> 00:05:50,719 Speaker 1: retire that name, all of that plenty more. But first, Garrison, 83 00:05:50,839 --> 00:05:54,279 Speaker 1: we like to ask our guest, what is something from 84 00:05:54,320 --> 00:05:58,000 Speaker 1: your search history that's revealing about who you are. Let's 85 00:05:58,040 --> 00:06:02,120 Speaker 1: see the most recent thing for my search history is, uh, 86 00:06:02,200 --> 00:06:07,800 Speaker 1: San Francisco homelessness robot because today I saw on Twitter 87 00:06:08,200 --> 00:06:11,760 Speaker 1: the Boston Dynamics dog robot being used by the NYPD. 88 00:06:12,880 --> 00:06:15,480 Speaker 1: Not not great, um, and I wanted to see how 89 00:06:15,520 --> 00:06:18,839 Speaker 1: long San Francisco has been using their homelessness robots. The 90 00:06:18,920 --> 00:06:23,240 Speaker 1: robots like just go around and attack almost people sleeping. Um, since, 91 00:06:23,279 --> 00:06:25,280 Speaker 1: like I was, I was doing it for a tweet anyway, 92 00:06:25,320 --> 00:06:29,039 Speaker 1: it's from it's it's since so going on, I guess 93 00:06:29,160 --> 00:06:33,320 Speaker 1: gee's four years now? Oh my god. Um, San Francisco 94 00:06:33,320 --> 00:06:37,680 Speaker 1: on the cutting edge of brutalizing the US. Yeah, using 95 00:06:37,800 --> 00:06:42,920 Speaker 1: robots to attack marginalized people and people who need help. Yeah. 96 00:06:43,360 --> 00:06:46,480 Speaker 1: So actually I'm not really familiar with well. First of all, 97 00:06:46,520 --> 00:06:50,480 Speaker 1: so then YPD is using that terrified terrifying dog robots? 98 00:06:51,400 --> 00:06:54,479 Speaker 1: How in what way? I mean? They claim it's for 99 00:06:54,560 --> 00:06:57,520 Speaker 1: like going into houses where there's like an armed suspect. 100 00:06:57,920 --> 00:06:59,880 Speaker 1: But we'll we'll see how it gets used. I mean 101 00:07:00,000 --> 00:07:03,240 Speaker 1: it's it's very could very easily be of like an 102 00:07:03,279 --> 00:07:07,440 Speaker 1: efficients like surveillance tool. Um, like, it could be used 103 00:07:07,440 --> 00:07:08,760 Speaker 1: for a lot of things. That's just the thing that 104 00:07:08,880 --> 00:07:11,080 Speaker 1: NYPD is saying they're going to use it for. So 105 00:07:11,160 --> 00:07:15,400 Speaker 1: we'll see. It's pretty they're pivoting away from like military 106 00:07:15,480 --> 00:07:18,400 Speaker 1: like straight up military technology because the optics are bad. 107 00:07:18,440 --> 00:07:21,440 Speaker 1: And you're like, what about like fucking expensive as robots 108 00:07:21,480 --> 00:07:27,000 Speaker 1: that are scary shit, it's like militarized police ship. What 109 00:07:27,040 --> 00:07:30,280 Speaker 1: about like future fun dog police. It's like almost a 110 00:07:30,320 --> 00:07:33,560 Speaker 1: hundred thousand dollars for the robots, right, and you think 111 00:07:33,560 --> 00:07:35,800 Speaker 1: about those robots, right, it's like how many how much 112 00:07:35,840 --> 00:07:38,360 Speaker 1: you're spending on the robots in the maintenance and you 113 00:07:38,520 --> 00:07:42,160 Speaker 1: could just put over and you have to pay someone 114 00:07:42,160 --> 00:07:45,440 Speaker 1: to operate it. You have to like have some people 115 00:07:45,480 --> 00:07:47,520 Speaker 1: to like take care of it, manage it. All those 116 00:07:47,520 --> 00:07:50,280 Speaker 1: people are getting paid for something where you have to 117 00:07:50,280 --> 00:07:52,640 Speaker 1: feed it orphans. I think that's what that is, what 118 00:07:52,720 --> 00:07:55,320 Speaker 1: the Boston Dynamics robots, Yeah, that is that's the one 119 00:07:55,400 --> 00:08:01,840 Speaker 1: caveat like what possible use that like altruistic could there 120 00:08:01,880 --> 00:08:06,559 Speaker 1: be for a dog shaped robot that like you can't 121 00:08:06,640 --> 00:08:10,120 Speaker 1: knock over, Like that's like the cool thing about it is, like, man, 122 00:08:10,240 --> 00:08:12,600 Speaker 1: try and kick this thing over. You can't knock it over. 123 00:08:12,680 --> 00:08:16,760 Speaker 1: It'll keep it just keeps coming. Bro. I guess therapy uses. 124 00:08:17,400 --> 00:08:20,760 Speaker 1: I don't know theirpeutic um. They should just give it 125 00:08:20,840 --> 00:08:25,080 Speaker 1: like a smoochy like face from the Simpsons there. I 126 00:08:25,080 --> 00:08:29,360 Speaker 1: mean even like reading like the hand holdie, like local news, 127 00:08:29,400 --> 00:08:31,520 Speaker 1: like let's just give the p D a b J 128 00:08:31,760 --> 00:08:34,600 Speaker 1: with how cool this robot is reporting. It's not even 129 00:08:34,679 --> 00:08:37,600 Speaker 1: like doing real like it's not saying anything a real 130 00:08:37,720 --> 00:08:40,880 Speaker 1: dog or human couldn't do. It's like this, this is cool. 131 00:08:41,000 --> 00:08:43,840 Speaker 1: This dog is gonna save lives, protect people, and protect 132 00:08:43,920 --> 00:08:49,079 Speaker 1: officers and that's our goal. Okay, his name is Frank 133 00:08:49,320 --> 00:08:52,960 Speaker 1: did Jacomo, but dig is in there, so it feels futuristic. 134 00:08:54,360 --> 00:08:56,679 Speaker 1: And then they said this robot is able to use 135 00:08:56,679 --> 00:09:00,439 Speaker 1: this artificial intelligence to navigate things very complex and vironment 136 00:09:01,280 --> 00:09:06,319 Speaker 1: like a brain could. Okay, and what else. It's covered 137 00:09:06,360 --> 00:09:08,680 Speaker 1: with cameras and lights, which allows police to get a 138 00:09:08,720 --> 00:09:11,080 Speaker 1: real time look at things even in darkness. It's like 139 00:09:11,080 --> 00:09:16,880 Speaker 1: a video game night vision flashlights. I'm doing here. I 140 00:09:17,280 --> 00:09:19,360 Speaker 1: have a I have a thermal camera that I got 141 00:09:19,440 --> 00:09:23,640 Speaker 1: for reasons, right anyway, Yeah, yeah, so did I. When 142 00:09:23,679 --> 00:09:25,080 Speaker 1: I was a kid. You won't remember this, but there's 143 00:09:25,080 --> 00:09:28,280 Speaker 1: a thing called spy tech. I had spy I had 144 00:09:28,280 --> 00:09:30,800 Speaker 1: spy tech in in the early two thousand's. Oh so 145 00:09:30,840 --> 00:09:32,720 Speaker 1: they brought it back around. Okay, I'm glad it's it's 146 00:09:32,760 --> 00:09:38,000 Speaker 1: it's it's it's still going strong. Honestly, it can unite 147 00:09:38,000 --> 00:09:41,240 Speaker 1: the millennials and the zoomers. We could have approved, like 148 00:09:42,080 --> 00:09:46,400 Speaker 1: because I remember cooler. When I was a kid, spy 149 00:09:46,480 --> 00:09:52,559 Speaker 1: tech was like bullshit? Was I remember I got the 150 00:09:52,679 --> 00:09:56,040 Speaker 1: I remember everybody wanted like the heat seeker radar thing 151 00:09:56,120 --> 00:09:58,240 Speaker 1: that was like straight up like predator type ship where 152 00:09:58,240 --> 00:10:01,440 Speaker 1: you could put there's heat over there. I remember my 153 00:10:01,480 --> 00:10:04,400 Speaker 1: parents got me like the fingerprint invisible inc with the 154 00:10:04,520 --> 00:10:06,280 Speaker 1: lights hit and I'm like, oh, this ship is bullshit. 155 00:10:06,760 --> 00:10:08,560 Speaker 1: And I'm just writing like fuck you on the wall 156 00:10:08,600 --> 00:10:10,160 Speaker 1: and then just like pusing the light to be like 157 00:10:11,720 --> 00:10:15,800 Speaker 1: that's that's good. Yeah. Uh yeah. And just I mean 158 00:10:15,840 --> 00:10:17,760 Speaker 1: this kind of ties into what you were saying earlier 159 00:10:17,760 --> 00:10:22,800 Speaker 1: about your your skill set of being able to stand well, uh, 160 00:10:23,040 --> 00:10:28,320 Speaker 1: chemical weapons in vast amounts of chemical weapons because uh 161 00:10:28,360 --> 00:10:32,839 Speaker 1: the police police forces were the ones who were using 162 00:10:32,880 --> 00:10:37,120 Speaker 1: those against you. Yes, yeah, mix of mix of I 163 00:10:37,160 --> 00:10:41,400 Speaker 1: guess it was mostly DHS and the Portland Police Bureau, 164 00:10:41,520 --> 00:10:44,679 Speaker 1: right yeah, last last summer. I mean also a whole 165 00:10:44,720 --> 00:10:47,800 Speaker 1: bunch of Proud Boys. You'll be using an abstain an 166 00:10:47,800 --> 00:10:51,280 Speaker 1: absurd amount of mace last year one day in August 167 00:10:51,840 --> 00:10:53,680 Speaker 1: where I was, I was kind of I was burning 168 00:10:53,679 --> 00:10:58,000 Speaker 1: for days after that. Um yeah, real fun. Yeah and 169 00:10:58,120 --> 00:11:01,840 Speaker 1: that yeah, that that was the A Proud Boy broke 170 00:11:01,920 --> 00:11:08,440 Speaker 1: Robert Evans hand same day, just another just another Sunday, Saturday, whatever. 171 00:11:08,480 --> 00:11:11,160 Speaker 1: It was, just I just learned the I just learned 172 00:11:11,200 --> 00:11:15,120 Speaker 1: the origin of the Proud Boy name, which is the 173 00:11:15,120 --> 00:11:19,640 Speaker 1: Aladdin thing. The Aladdin thing. Yeah yeah, did you know 174 00:11:19,720 --> 00:11:24,120 Speaker 1: this moles that it's based on. So there was a 175 00:11:24,280 --> 00:11:29,320 Speaker 1: useless uh plot in the original Aladdin script. Uh that 176 00:11:29,600 --> 00:11:32,880 Speaker 1: was like Aladdin's mom and she was just like, you know, 177 00:11:33,000 --> 00:11:36,440 Speaker 1: not not useful for dramatic purposes. And she had a 178 00:11:36,480 --> 00:11:38,520 Speaker 1: couple of songs that were cut from the film. One 179 00:11:38,559 --> 00:11:40,640 Speaker 1: of them was about how she was proud of her son. 180 00:11:41,120 --> 00:11:43,600 Speaker 1: And the Proud Boys seized on that, like the men's 181 00:11:43,679 --> 00:11:47,400 Speaker 1: rights movement seized on that as like their thing, like 182 00:11:47,480 --> 00:11:50,200 Speaker 1: what you can't be proud of a boy anymore? And 183 00:11:50,240 --> 00:11:53,800 Speaker 1: that's how that's where we got proud boys from Yeah, 184 00:11:53,960 --> 00:11:58,880 Speaker 1: very adult like thinking Disney, Distress Disney. I p to 185 00:11:59,040 --> 00:12:02,600 Speaker 1: like give your agin story to your fucking hate groups. 186 00:12:03,920 --> 00:12:05,720 Speaker 1: Really put your head in the books, man, crack those 187 00:12:05,720 --> 00:12:10,040 Speaker 1: books open and learn about some ship man. Uh, what 188 00:12:10,240 --> 00:12:13,880 Speaker 1: is something garrisonthing you think is underrated? Okay, this is 189 00:12:13,880 --> 00:12:16,600 Speaker 1: something I get bullied a lot for. I'm gonna say 190 00:12:16,800 --> 00:12:21,040 Speaker 1: instrumental music. That's what I'm gonna say, because I don't know. 191 00:12:21,160 --> 00:12:22,920 Speaker 1: Ever since I was a little kid, I could not 192 00:12:23,960 --> 00:12:26,480 Speaker 1: listen to music with lyrics and have the lyrics make 193 00:12:26,520 --> 00:12:29,560 Speaker 1: any sense. It would all just kind of turn, it 194 00:12:29,600 --> 00:12:31,720 Speaker 1: would all it would all just sound like music to me, 195 00:12:32,400 --> 00:12:35,800 Speaker 1: um like evening lyrics. Yeah, don't hear lyrics. I just 196 00:12:35,840 --> 00:12:40,640 Speaker 1: hear like other instruments essentially um so. And basically I 197 00:12:40,679 --> 00:12:43,160 Speaker 1: listened to tr music because it's more interesting because it 198 00:12:43,240 --> 00:12:45,319 Speaker 1: has I don't know, I think there's more thought into 199 00:12:45,360 --> 00:12:48,079 Speaker 1: the actual sound of it because I just can't enjoy lyrics. 200 00:12:48,120 --> 00:12:50,199 Speaker 1: It it's it takes too much. It takes too much 201 00:12:50,200 --> 00:12:53,040 Speaker 1: focus in my brain to like try to understand what 202 00:12:53,360 --> 00:12:57,320 Speaker 1: people are saying. Um so all my basically all my 203 00:12:57,360 --> 00:13:01,040 Speaker 1: Spotify stuff is all like a mixt of electronic and 204 00:13:01,080 --> 00:13:04,240 Speaker 1: old timey instrumental stuff, and all my friends bullying me 205 00:13:04,280 --> 00:13:08,280 Speaker 1: for it. Um I love instrumental music. It's the it's 206 00:13:08,320 --> 00:13:12,640 Speaker 1: the perfect texture like sonically, I think. Because yeah, to 207 00:13:12,720 --> 00:13:15,000 Speaker 1: your point, like there's a there's a thing I've noticed 208 00:13:15,000 --> 00:13:17,360 Speaker 1: because I play like more music just sort of ambiently 209 00:13:17,600 --> 00:13:20,720 Speaker 1: during the like throughout the day. When I play songs 210 00:13:20,760 --> 00:13:22,880 Speaker 1: that have like lyrics in like like songs that I 211 00:13:22,960 --> 00:13:25,959 Speaker 1: really like, it's a distraction because like suddenly I'm like 212 00:13:26,040 --> 00:13:27,960 Speaker 1: trying to think and then I started singing like a 213 00:13:28,000 --> 00:13:30,360 Speaker 1: guitar solo out loud because I'm like, oh yeah that 214 00:13:30,440 --> 00:13:34,000 Speaker 1: part versus like instrumental music, I can very much be 215 00:13:34,040 --> 00:13:36,440 Speaker 1: like Yep, there it is. It's I know, it's there. 216 00:13:36,520 --> 00:13:38,640 Speaker 1: I like it. It's giving me joy, but it's not 217 00:13:38,679 --> 00:13:40,680 Speaker 1: distracting me too much with like taking too much of 218 00:13:40,679 --> 00:13:45,240 Speaker 1: my attention. And by old timey instrumental music, you mean 219 00:13:45,280 --> 00:13:49,760 Speaker 1: like you know, I mean everything from I mean I 220 00:13:49,800 --> 00:13:51,880 Speaker 1: have stuff from like I don't know, I've hold like 221 00:13:52,000 --> 00:13:55,400 Speaker 1: um union songs with the lyrics stripped that have been 222 00:13:55,440 --> 00:14:00,360 Speaker 1: like remixed and stuff in the background. Yeah, you know 223 00:14:00,440 --> 00:14:03,319 Speaker 1: the mix of that. I don't know, some like remix 224 00:14:03,360 --> 00:14:05,360 Speaker 1: to jazz. What do your what do your friends tell 225 00:14:05,440 --> 00:14:08,200 Speaker 1: you should be listening to? All my because of because 226 00:14:08,200 --> 00:14:10,840 Speaker 1: I'm in Portland, everyone listens to like folk punk and stuff. 227 00:14:11,280 --> 00:14:18,080 Speaker 1: So you know, everyone's all you're good man. I mean 228 00:14:18,320 --> 00:14:21,280 Speaker 1: it's like it's fine, but I'm never I'm never going 229 00:14:21,320 --> 00:14:23,720 Speaker 1: to go out of my way to listen to it. Um. Yeah, 230 00:14:23,880 --> 00:14:25,720 Speaker 1: well it's also aggressive, like when you try to be like, oh, 231 00:14:25,760 --> 00:14:27,680 Speaker 1: you're listening to that, I mean like, look, we're gonna 232 00:14:27,680 --> 00:14:29,640 Speaker 1: listen with the funk. We need to to get through 233 00:14:29,680 --> 00:14:33,160 Speaker 1: this ship. Okay, thank you. What is something you think 234 00:14:33,240 --> 00:14:40,960 Speaker 1: is overrated? Garrison Robots Jesus Christ. Everyone's like, oh, robots 235 00:14:40,960 --> 00:14:44,080 Speaker 1: are so fun, Like, no, they've done like nothing, good effort, 236 00:14:44,200 --> 00:14:47,080 Speaker 1: They've on live in that. Yeah, I think all it's 237 00:14:47,120 --> 00:14:49,560 Speaker 1: done is the best thing people can say robots have done. 238 00:14:49,560 --> 00:14:52,520 Speaker 1: It's like it's helped people make more money faster. That's 239 00:14:52,600 --> 00:14:56,720 Speaker 1: yeah basically, And yes, there's like medical applications, but I 240 00:14:56,760 --> 00:14:59,360 Speaker 1: think like overall, I think those robotics things I think 241 00:14:59,360 --> 00:15:02,240 Speaker 1: of like the factory lines and like how much more. 242 00:15:02,360 --> 00:15:04,360 Speaker 1: You can crank out with robots and things like that, 243 00:15:04,400 --> 00:15:08,480 Speaker 1: but how it's making making the environment, whereas there once 244 00:15:08,560 --> 00:15:12,360 Speaker 1: we start giving robots guns, that's gonna suck of they're 245 00:15:12,360 --> 00:15:15,200 Speaker 1: all bad. I don't think anything really good is gonna 246 00:15:15,240 --> 00:15:18,360 Speaker 1: come to robots. But people still like them because Star Wars. 247 00:15:18,400 --> 00:15:20,880 Speaker 1: I guess I don't know. I like, I like Star Wars, 248 00:15:20,960 --> 00:15:23,240 Speaker 1: and of course I like R two D two, but 249 00:15:23,920 --> 00:15:28,560 Speaker 1: I don't. I'm terrify, like anti homeless robot is kind 250 00:15:28,600 --> 00:15:32,160 Speaker 1: of like R two D two shaped. I know, so 251 00:15:32,200 --> 00:15:36,880 Speaker 1: sad co opt his beautiful It sucks because like the 252 00:15:36,960 --> 00:15:41,520 Speaker 1: robot just goes around like pokes people the worst and 253 00:15:41,560 --> 00:15:43,760 Speaker 1: you can get in a lot of trouble from breaking it. Oh, 254 00:15:43,800 --> 00:15:48,640 Speaker 1: it sucks terrible. What other what other robots are like 255 00:15:48,720 --> 00:15:51,040 Speaker 1: being used? I guess I guess there's like you were saying, 256 00:15:51,040 --> 00:15:54,400 Speaker 1: the factory floor robots, factory robots. I mean, you can, 257 00:15:54,680 --> 00:15:59,160 Speaker 1: you know, think of like a computer flowing like drones 258 00:15:59,480 --> 00:16:03,920 Speaker 1: and stuff for surveillance from dropping bombs. Um, I don't know, 259 00:16:04,080 --> 00:16:06,720 Speaker 1: just like robots in general, just I don't. I don't. 260 00:16:06,920 --> 00:16:09,440 Speaker 1: I can't think of very many good ones. They need. 261 00:16:09,680 --> 00:16:12,760 Speaker 1: They need a pr campaign like to write the ship 262 00:16:12,840 --> 00:16:14,960 Speaker 1: for that, because like, yeah, you could cut together a 263 00:16:14,960 --> 00:16:18,280 Speaker 1: bunch of horrific robot videos, but like where is the 264 00:16:18,360 --> 00:16:21,520 Speaker 1: one you're like, oh, robot, or you're like, you know what, 265 00:16:21,920 --> 00:16:25,080 Speaker 1: that's that robot that robot did good well in. In 266 00:16:25,120 --> 00:16:29,480 Speaker 1: the Star Wars universe, robots are like a thing that 267 00:16:29,720 --> 00:16:35,200 Speaker 1: people who are you know, lower class or like farm labors, 268 00:16:35,240 --> 00:16:37,920 Speaker 1: like work with and like sell parts for. And they're 269 00:16:37,920 --> 00:16:41,560 Speaker 1: basically Star Wars yeah, and they're basically slaves and like 270 00:16:41,640 --> 00:16:45,560 Speaker 1: treated like absolute ship. But in reality they are a 271 00:16:45,560 --> 00:16:49,120 Speaker 1: tool of like you have to be a massive corporation 272 00:16:49,240 --> 00:16:53,920 Speaker 1: to create or the military to create a robot. It's 273 00:16:53,920 --> 00:16:56,200 Speaker 1: not like people are just like picking up robot parts 274 00:16:56,200 --> 00:16:59,000 Speaker 1: and building their own robots. I didn't have that lego 275 00:16:59,160 --> 00:17:04,000 Speaker 1: kit back in right, tactically made a robots. Yeah, but 276 00:17:04,119 --> 00:17:07,000 Speaker 1: that's like a fantasy of Hollywood that like robots are 277 00:17:07,080 --> 00:17:10,520 Speaker 1: just like a a thing that we can all just 278 00:17:10,600 --> 00:17:14,200 Speaker 1: like there we don't have to feel bad about, right, 279 00:17:14,760 --> 00:17:21,600 Speaker 1: I think, yeah, Real Steel that Hue Hugh Jackman movie 280 00:17:21,640 --> 00:17:25,640 Speaker 1: where like the robots are like hang out in junkyards 281 00:17:25,680 --> 00:17:29,520 Speaker 1: and like they pick up little pieces from wait, they 282 00:17:29,520 --> 00:17:33,040 Speaker 1: were sentient in that movie. No, no, that that's just 283 00:17:33,119 --> 00:17:35,920 Speaker 1: like where you find them. They got you. I thought 284 00:17:35,920 --> 00:17:37,399 Speaker 1: like there was a bunch of robots kicking in a 285 00:17:37,480 --> 00:17:40,240 Speaker 1: junk or like smoking cigarettes, like throwing dice or something. 286 00:17:40,440 --> 00:17:48,760 Speaker 1: But they're just on shutdownload right. Um. Wally also Wally 287 00:17:48,840 --> 00:17:52,440 Speaker 1: also yeah, one of the great robots. But while he's 288 00:17:52,480 --> 00:17:55,280 Speaker 1: not Wally, he's not rolling through that door. I mean, 289 00:17:55,359 --> 00:17:59,479 Speaker 1: and Wally's existence is it example of how messed up 290 00:17:59,520 --> 00:18:02,639 Speaker 1: everything is, the whole robot basically making cities out of 291 00:18:02,640 --> 00:18:05,440 Speaker 1: trash because we wrecked the earth. So yeah, again, it's 292 00:18:05,440 --> 00:18:08,359 Speaker 1: not we don't want to have a Wally robot. If 293 00:18:08,359 --> 00:18:12,120 Speaker 1: we have a robot, were Yeah, we're pretty sucked up. 294 00:18:13,800 --> 00:18:17,280 Speaker 1: But he's so cute. Maybe it's worth it. I don't know. 295 00:18:17,600 --> 00:18:19,760 Speaker 1: All right, let's take a quick break and we'll be 296 00:18:19,880 --> 00:18:35,000 Speaker 1: right back. And we're back. Uh and uh, let's check 297 00:18:35,040 --> 00:18:40,679 Speaker 1: in with the most recent crisis that is revealing the 298 00:18:40,840 --> 00:18:46,560 Speaker 1: threadbare social fabric that is crumbling all around us. Uh. 299 00:18:46,560 --> 00:18:51,280 Speaker 1: And that is the Texas storm, the Texas uh freeze. Yeah, 300 00:18:52,040 --> 00:18:55,560 Speaker 1: it's like you're saying every it's like covid uh and 301 00:18:55,680 --> 00:18:59,760 Speaker 1: that this is now just highlighting all the failings of capitalism. 302 00:18:59,800 --> 00:19:03,800 Speaker 1: And the free market. Baby that now when something goes wrong, 303 00:19:03,840 --> 00:19:06,359 Speaker 1: people are left to fend for themselves. There's no support 304 00:19:06,400 --> 00:19:09,160 Speaker 1: and they're like, oh, that that's your problem. Um, case 305 00:19:09,200 --> 00:19:11,760 Speaker 1: and point. Now, this latest story that I was reading 306 00:19:11,760 --> 00:19:14,520 Speaker 1: the Daily Beast is talking about how many workers who 307 00:19:14,600 --> 00:19:17,480 Speaker 1: have been stranded or like without internet or power to 308 00:19:17,480 --> 00:19:21,560 Speaker 1: whether like it's to commute or telecommute whatever to their jobs. Um. 309 00:19:21,720 --> 00:19:24,240 Speaker 1: You know, they're having issues getting to work, doing work 310 00:19:24,280 --> 00:19:27,800 Speaker 1: to get their wages. Um. And the employers, you know, 311 00:19:28,000 --> 00:19:30,639 Speaker 1: they are you know, they understand that these are historically 312 00:19:30,720 --> 00:19:34,600 Speaker 1: fucked times in the state of Texas. At the beginning 313 00:19:34,600 --> 00:19:39,040 Speaker 1: of COVID told us they did the stories, and they're 314 00:19:39,040 --> 00:19:43,240 Speaker 1: saying in these times, uh, if you are unable to 315 00:19:43,280 --> 00:19:45,600 Speaker 1: go to work or root work remotely due to loss 316 00:19:45,640 --> 00:19:49,080 Speaker 1: of electricity during last week's destructive winter storm, you must 317 00:19:49,080 --> 00:19:52,240 Speaker 1: consider those lost days as vacation. Otherwise you will go 318 00:19:52,320 --> 00:19:56,199 Speaker 1: without pay. That's that's a policy that a lot of 319 00:19:56,200 --> 00:19:58,760 Speaker 1: people are like, have been sending emails. It seems to 320 00:19:58,760 --> 00:20:01,399 Speaker 1: be like in the Dallas Fort With area. So there's 321 00:20:01,480 --> 00:20:03,800 Speaker 1: a Bell tex Strawn, which is like a Hellica formerly 322 00:20:04,000 --> 00:20:08,159 Speaker 1: Bell Helicopter, United agg and Turf the City of Dallas 323 00:20:08,200 --> 00:20:13,000 Speaker 1: also was sending these very similar emails about saying like, hey, y'all, uh, 324 00:20:13,080 --> 00:20:15,359 Speaker 1: we get it. If you know you can't work, maybe 325 00:20:15,440 --> 00:20:19,040 Speaker 1: just call that a vacation and then that's how we'll 326 00:20:19,280 --> 00:20:24,840 Speaker 1: avoid losing money. Here go to Cancoon. Yeah, that is 327 00:20:24,880 --> 00:20:28,719 Speaker 1: amazing that they're like, that's your vacation. Meanwhile, Ted Cruz 328 00:20:28,800 --> 00:20:32,240 Speaker 1: is taking an actual vacation. Yeah, or the the a 329 00:20:32,400 --> 00:20:35,240 Speaker 1: g like fucked off to Utah to like the second 330 00:20:35,280 --> 00:20:41,879 Speaker 1: age that, Yeah, good for him, he needs a break. 331 00:20:41,960 --> 00:20:45,600 Speaker 1: I mean, these it's hard robbing the society that you're 332 00:20:45,600 --> 00:20:48,399 Speaker 1: supposed to watch over Blend. Yeah, I do have to 333 00:20:48,440 --> 00:20:53,720 Speaker 1: say I do appreciate the move from Bell helicopter to 334 00:20:53,840 --> 00:20:59,040 Speaker 1: Bell textron because they're at least at least being like, 335 00:20:59,320 --> 00:21:02,000 Speaker 1: oh ship, we're not We're more evil than like a 336 00:21:02,000 --> 00:21:08,119 Speaker 1: Bell helicopter. Cliverpug tried to warn us tried with robots, 337 00:21:08,119 --> 00:21:10,360 Speaker 1: with all this stuff they tried, and everyone's like, oh, 338 00:21:10,560 --> 00:21:15,480 Speaker 1: neon lights, that's cool. Totally missed the point. Everything's big 339 00:21:15,480 --> 00:21:23,280 Speaker 1: and textrawn welcome, like amazing. Yeah, a lot of explanations 340 00:21:23,320 --> 00:21:27,120 Speaker 1: that like these companies were giving. We're never like, oh man, 341 00:21:27,160 --> 00:21:28,920 Speaker 1: we need to take a look at that. We didn't 342 00:21:28,920 --> 00:21:31,520 Speaker 1: realize that was happening. It was like the biggest one 343 00:21:31,560 --> 00:21:34,200 Speaker 1: seemed to be like, well, like we contract with the 344 00:21:34,320 --> 00:21:36,320 Speaker 1: government a lot of times, so like you gotta talk 345 00:21:36,359 --> 00:21:37,879 Speaker 1: to them whether or not we can build them for 346 00:21:37,920 --> 00:21:40,320 Speaker 1: like emergency pay. So like that's kind of like what 347 00:21:40,400 --> 00:21:44,560 Speaker 1: the fucking deal is going on here? And other companies said, oh, 348 00:21:44,600 --> 00:21:47,119 Speaker 1: I mean, yes, they could do that, and but I 349 00:21:47,119 --> 00:21:49,400 Speaker 1: mean not to say, like if they don't have vacation time, 350 00:21:49,520 --> 00:21:52,120 Speaker 1: obviously they they'll have to do what they can. They 351 00:21:52,119 --> 00:21:56,639 Speaker 1: can just borrow against their future paid time off. Like 352 00:21:56,680 --> 00:22:00,320 Speaker 1: nobody actually was like what you caught us. That's a 353 00:22:00,320 --> 00:22:02,040 Speaker 1: bad look and we're doing it right. It was just 354 00:22:02,119 --> 00:22:05,280 Speaker 1: all this like bureaucratic hot potato that talk to HR 355 00:22:05,359 --> 00:22:07,359 Speaker 1: talk to federal government. I don't know what do you 356 00:22:07,359 --> 00:22:09,560 Speaker 1: want me to say? Um, but I think the biggest 357 00:22:09,560 --> 00:22:12,040 Speaker 1: thing is that like in Texas, there's just no requirement 358 00:22:12,119 --> 00:22:15,359 Speaker 1: for people to pay any vacation time, right, so like 359 00:22:15,400 --> 00:22:18,200 Speaker 1: there's just no safety net for people in any sense. 360 00:22:18,240 --> 00:22:21,520 Speaker 1: And so again this means that like so it's an 361 00:22:21,600 --> 00:22:25,080 Speaker 1: employer by employer decision that's being made to be cruel. 362 00:22:25,600 --> 00:22:30,000 Speaker 1: What like it's it's such a quintessential American experience, just 363 00:22:30,119 --> 00:22:33,080 Speaker 1: like distilled into its purest form, all of these problems 364 00:22:33,080 --> 00:22:34,800 Speaker 1: that Texas is dealing with, because Texas is like the 365 00:22:34,840 --> 00:22:38,159 Speaker 1: most American state, right, and all these things are just 366 00:22:38,240 --> 00:22:43,240 Speaker 1: like such a great example of how everything is set 367 00:22:43,320 --> 00:22:48,800 Speaker 1: up to fail regular people, right, Like imagine a the freeze, 368 00:22:48,960 --> 00:22:52,399 Speaker 1: but it's nationwide in whatever form that comes, it comes 369 00:22:52,440 --> 00:22:57,000 Speaker 1: to going to be a fucking disaster. Because again, like 370 00:22:57,160 --> 00:22:59,440 Speaker 1: Texas is like a micro color don't know, maybe mac 371 00:22:59,520 --> 00:23:03,560 Speaker 1: roads so of like runaway deregulation for decades and then 372 00:23:03,600 --> 00:23:05,800 Speaker 1: like patting themselves on the back because they have cheap 373 00:23:05,800 --> 00:23:08,720 Speaker 1: power or whatever and just because things are stable. But 374 00:23:08,800 --> 00:23:11,800 Speaker 1: the second you introduce in any element of chaos or instability, 375 00:23:12,080 --> 00:23:14,600 Speaker 1: the ship just completely breaks apart and it's just leaving 376 00:23:14,600 --> 00:23:17,359 Speaker 1: behind just blood and death. Yeah, I mean it's not 377 00:23:17,359 --> 00:23:19,080 Speaker 1: even just tech like. At the same time, this was 378 00:23:19,080 --> 00:23:22,840 Speaker 1: all happening in Texas. Um uh, most of Portland's power 379 00:23:23,000 --> 00:23:25,520 Speaker 1: shut off during a nice storm as well. Um I 380 00:23:25,560 --> 00:23:29,280 Speaker 1: mean all of my friends, um were with with without 381 00:23:29,280 --> 00:23:32,080 Speaker 1: power for like days and days. Um I had I 382 00:23:32,400 --> 00:23:33,760 Speaker 1: was like enough to have power based on the part 383 00:23:33,800 --> 00:23:34,919 Speaker 1: of the city. I mean I had, I had to 384 00:23:34,920 --> 00:23:37,159 Speaker 1: have people had to come over to my place to 385 00:23:37,200 --> 00:23:40,639 Speaker 1: get power and stuff and to keep warm. Um, we 386 00:23:40,680 --> 00:23:44,080 Speaker 1: had like a whole grocery store collapse, like literally, like 387 00:23:44,160 --> 00:23:47,080 Speaker 1: the roof collapsed because of all the snow build up 388 00:23:47,119 --> 00:23:51,000 Speaker 1: because the buildings were built cheaply, because people didn't plan 389 00:23:51,119 --> 00:23:53,800 Speaker 1: on this type of weather. Right, So this it's all 390 00:23:53,760 --> 00:23:55,399 Speaker 1: the stuff like you know, this type of you know, 391 00:23:55,440 --> 00:23:58,240 Speaker 1: extreme climate conditions are only gonna get worse. We're gonna 392 00:23:58,240 --> 00:24:00,520 Speaker 1: have more of these things happen, all right, because this 393 00:24:00,520 --> 00:24:02,400 Speaker 1: isn't the first. This isn't the first time some something 394 00:24:02,400 --> 00:24:04,520 Speaker 1: that has happened in Texas. Um, it's not gonna be 395 00:24:04,520 --> 00:24:07,359 Speaker 1: the last time, and it's gonna happen across more frequent 396 00:24:07,480 --> 00:24:09,520 Speaker 1: the country, to be more frequent, to be more extreme. Right. 397 00:24:10,160 --> 00:24:12,359 Speaker 1: It's like I was looking at the video from it 398 00:24:12,760 --> 00:24:15,399 Speaker 1: was it was a safe way outside of Portland that 399 00:24:15,440 --> 00:24:18,080 Speaker 1: just completely collapsed, and it's like, yeah, that's like what 400 00:24:18,240 --> 00:24:20,600 Speaker 1: you see in movies. It's just like the buildings just 401 00:24:20,680 --> 00:24:23,800 Speaker 1: collapsed because of all the ice. Based on your conversations 402 00:24:23,840 --> 00:24:30,400 Speaker 1: with them, did your friends enjoy their vacation from electricity? 403 00:24:31,119 --> 00:24:33,760 Speaker 1: Mostly not all. Most of these friends are like kind 404 00:24:33,800 --> 00:24:36,919 Speaker 1: of anti technology, but like in a way that they 405 00:24:36,920 --> 00:24:41,400 Speaker 1: still use technology. So no, not really. Um, they'll they'll 406 00:24:41,440 --> 00:24:44,520 Speaker 1: like meme about it, but they were like cold, and 407 00:24:44,960 --> 00:24:47,720 Speaker 1: that sucks that Facebook post that we got from that 408 00:24:48,200 --> 00:24:51,760 Speaker 1: mayor early on, Like he just said that, he said 409 00:24:52,080 --> 00:24:58,040 Speaker 1: what everybody like he said American? He said, yeah, uh, 410 00:24:58,040 --> 00:25:00,320 Speaker 1: that's that's all you need to know about I think, 411 00:25:00,320 --> 00:25:03,080 Speaker 1: And I think it's like I wish their news could 412 00:25:03,520 --> 00:25:06,200 Speaker 1: do you never see like MSNBC be like is he 413 00:25:06,280 --> 00:25:09,959 Speaker 1: telling a lie? Though? You know what I mean, CNN, 414 00:25:10,280 --> 00:25:13,119 Speaker 1: just because like that's real, that's real. You could if 415 00:25:13,119 --> 00:25:15,680 Speaker 1: you're in the fucking mainstream media, you could say, let's 416 00:25:15,720 --> 00:25:19,000 Speaker 1: be for us, keep it two virgils real quick. This 417 00:25:19,280 --> 00:25:22,960 Speaker 1: fucking the sentiments expressed by that person is exactly what 418 00:25:23,000 --> 00:25:25,200 Speaker 1: we see play out at every level well when we're 419 00:25:25,200 --> 00:25:27,720 Speaker 1: talking about people in need in this country. So yes, 420 00:25:27,800 --> 00:25:31,119 Speaker 1: while the to say these things is deplorable for a leader, 421 00:25:31,520 --> 00:25:34,160 Speaker 1: we also have this culture in built in our country, 422 00:25:34,160 --> 00:25:36,800 Speaker 1: and actually we need to confront that more than acting 423 00:25:36,840 --> 00:25:40,840 Speaker 1: like these like random blemishes pop up in our fucking 424 00:25:40,840 --> 00:25:43,440 Speaker 1: media landscape, like oh, here's somebody saying this weird thing 425 00:25:43,520 --> 00:25:46,520 Speaker 1: that we all know to be true, rather than accepting that, 426 00:25:46,600 --> 00:25:49,880 Speaker 1: like this is really the really insidious part about our 427 00:25:49,880 --> 00:25:52,000 Speaker 1: culture and that we need to figure out how to 428 00:25:52,600 --> 00:25:55,200 Speaker 1: you know, have a reconciliation with that, a reckoning with it. 429 00:25:55,840 --> 00:25:57,680 Speaker 1: But you know, it's easier to just be like, can 430 00:25:57,720 --> 00:26:00,159 Speaker 1: you believe that guy while pretending like this is and 431 00:26:00,240 --> 00:26:02,800 Speaker 1: how all this ship is everywhere? They should have given 432 00:26:02,840 --> 00:26:05,560 Speaker 1: him a show, so we just like always know what 433 00:26:05,920 --> 00:26:07,879 Speaker 1: you know he did. He did a perfect job of 434 00:26:07,920 --> 00:26:10,520 Speaker 1: expressing how Texas was going to treat people ahead of him, 435 00:26:10,720 --> 00:26:12,000 Speaker 1: but he just did it in the way that like 436 00:26:12,080 --> 00:26:14,480 Speaker 1: people like, shitty people agree with. So he wanted to 437 00:26:14,480 --> 00:26:17,080 Speaker 1: be a little more objective. He's like, look, what I'm 438 00:26:17,119 --> 00:26:19,640 Speaker 1: saying is, if you look at the budgets, the way 439 00:26:19,640 --> 00:26:23,360 Speaker 1: the regulations are built, we're clearly not incentivizing or even 440 00:26:23,440 --> 00:26:26,360 Speaker 1: making it a priority to treat people humanely. That's all 441 00:26:26,400 --> 00:26:29,080 Speaker 1: I'm saying. Right, But let's say here's the here's the receipts, 442 00:26:29,160 --> 00:26:34,240 Speaker 1: y'all give him a translator who like puts this end 443 00:26:34,280 --> 00:26:36,600 Speaker 1: of the day, It's it's just jarring because, yeah, you 444 00:26:36,600 --> 00:26:41,560 Speaker 1: see those videos of people living and just horrifying conditions, 445 00:26:42,280 --> 00:26:44,879 Speaker 1: and you still have people with the gall to go 446 00:26:44,920 --> 00:26:48,400 Speaker 1: on TV and you know, point fingers and every direction 447 00:26:48,440 --> 00:26:51,560 Speaker 1: but the ones they need to be. Yeah, alright, this 448 00:26:51,720 --> 00:26:55,200 Speaker 1: next story might be the one good use of the 449 00:26:55,280 --> 00:27:02,240 Speaker 1: busting uh robot. The buston is a dynamic yeah, yeah, yeah, 450 00:27:02,280 --> 00:27:08,439 Speaker 1: and that is to serve Rudy his papers. Uh. This 451 00:27:08,560 --> 00:27:12,600 Speaker 1: dude is facing a one point three billion dollar lawsuit 452 00:27:12,880 --> 00:27:16,640 Speaker 1: from the Dominion voting systems and he is Uh, it's 453 00:27:16,680 --> 00:27:19,840 Speaker 1: like running man. He's just out here treating New York like, 454 00:27:20,760 --> 00:27:23,280 Speaker 1: you know, one big game of hide and seek from 455 00:27:23,359 --> 00:27:25,440 Speaker 1: the people trying to serve in his papers. I think 456 00:27:25,480 --> 00:27:27,320 Speaker 1: at that one point, I mean, look, Jackie, if you 457 00:27:27,359 --> 00:27:29,639 Speaker 1: knew somebody was trying to hit you with a point, 458 00:27:31,119 --> 00:27:34,919 Speaker 1: I would fucking dig underground full. I don't even know 459 00:27:34,880 --> 00:27:38,040 Speaker 1: what talking about. I think I'm dead actually, um. But yeah, 460 00:27:38,240 --> 00:27:40,760 Speaker 1: it's obviously because he had the starring role in the 461 00:27:40,800 --> 00:27:45,520 Speaker 1: Big Lie starring Rudy Giuliani uh Donald Trump joint. And 462 00:27:45,960 --> 00:27:49,720 Speaker 1: you know the funny thing was he knew that it 463 00:27:49,800 --> 00:27:52,000 Speaker 1: was the end, you know, like he knew the Big 464 00:27:52,080 --> 00:27:54,520 Speaker 1: Lie was up. Dominion is like, we told you to 465 00:27:54,600 --> 00:27:58,600 Speaker 1: keep fucking around and see what happens, and they said, okay, 466 00:27:58,600 --> 00:28:01,119 Speaker 1: again with Mike Glendell. You've sunk around, then you have 467 00:28:01,320 --> 00:28:04,000 Speaker 1: go into the find out phase. Rudy was beginning to 468 00:28:04,040 --> 00:28:07,520 Speaker 1: find out, so he's running. Uh. They first tried to 469 00:28:07,560 --> 00:28:10,200 Speaker 1: serve it to him over email and he wouldn't respond. 470 00:28:10,280 --> 00:28:12,240 Speaker 1: And then they're like, you know, he had numerous times 471 00:28:12,240 --> 00:28:15,040 Speaker 1: to the even decline email service, say that he wants 472 00:28:15,080 --> 00:28:16,680 Speaker 1: it in person. But he was just acting. No, I 473 00:28:16,680 --> 00:28:18,639 Speaker 1: didn't get that, like you know some people do with 474 00:28:18,680 --> 00:28:22,960 Speaker 1: bills and things like that. And then it turns into uh, 475 00:28:23,200 --> 00:28:27,199 Speaker 1: people chasing him across like his his the building he 476 00:28:27,200 --> 00:28:28,480 Speaker 1: was in, and I'm just gonna read this like a 477 00:28:28,520 --> 00:28:31,520 Speaker 1: little bit from the Daily News. In February seven, Giuliani 478 00:28:31,640 --> 00:28:34,000 Speaker 1: hopped into the passenger seat of an suv and tried 479 00:28:34,040 --> 00:28:37,440 Speaker 1: to quickly close the suv door as a process server 480 00:28:38,000 --> 00:28:41,000 Speaker 1: lunched forward with a bag full of documents that got 481 00:28:41,040 --> 00:28:45,120 Speaker 1: lodged between the door. Rudy says, quote, this is not 482 00:28:45,160 --> 00:28:47,000 Speaker 1: the way it's supposed to be done. You should have 483 00:28:47,040 --> 00:28:50,760 Speaker 1: gone to my office. According to the account, a driver 484 00:28:50,840 --> 00:28:54,280 Speaker 1: for Giuliani and the doorman pulled the bag of papers 485 00:28:54,440 --> 00:28:57,920 Speaker 1: free from the suv door so that Giuliani could close 486 00:28:57,960 --> 00:29:00,400 Speaker 1: it and the process server placed the bag in front 487 00:29:00,440 --> 00:29:04,040 Speaker 1: of Giuliani's building, which the doorman had locked because apparently 488 00:29:04,160 --> 00:29:06,480 Speaker 1: his doorman was helping him out and kept locking the 489 00:29:06,520 --> 00:29:08,520 Speaker 1: door behind Rudy whenever he would come in the building, 490 00:29:08,760 --> 00:29:10,920 Speaker 1: and the doorman would only let in people he knew, 491 00:29:11,240 --> 00:29:13,360 Speaker 1: so like he had the homie hook it up by 492 00:29:13,360 --> 00:29:15,880 Speaker 1: the door. And then so when you put the papers down, 493 00:29:15,880 --> 00:29:18,600 Speaker 1: the process server said, these documents now belonged to Giuliani. 494 00:29:19,040 --> 00:29:22,880 Speaker 1: But the story goes on. The process server then saw 495 00:29:22,960 --> 00:29:26,560 Speaker 1: a maintenance worker tossed the documents into a street trash can, 496 00:29:27,160 --> 00:29:28,760 Speaker 1: and then when the person went in, there's like, oh 497 00:29:28,760 --> 00:29:30,840 Speaker 1: my god, is that really the ship it was? It 498 00:29:30,880 --> 00:29:33,560 Speaker 1: was the actual fucking documents. And then later on in 499 00:29:33,680 --> 00:29:36,160 Speaker 1: a trash can on the state in New York, they 500 00:29:36,160 --> 00:29:38,520 Speaker 1: said for then it continued for two more days. Not 501 00:29:38,560 --> 00:29:40,560 Speaker 1: to mention before this they were trying to find him. 502 00:29:40,800 --> 00:29:42,920 Speaker 1: It went for two days, trying to go to his apartment, 503 00:29:43,040 --> 00:29:45,320 Speaker 1: trying to go to his office, whatever the funk they 504 00:29:45,360 --> 00:29:47,840 Speaker 1: thought he would be. He was ducking him. And then finally, 505 00:29:48,720 --> 00:29:50,840 Speaker 1: like an assistant at his office came out and like 506 00:29:50,920 --> 00:29:56,960 Speaker 1: accepted it, and is this a a sound legal strategy? 507 00:29:57,120 --> 00:29:59,720 Speaker 1: I gotta ask you, guys, I'm not familiar with I know, 508 00:30:02,200 --> 00:30:08,280 Speaker 1: but but just avoiding getting the lawsuit is that succeeded. 509 00:30:09,960 --> 00:30:11,959 Speaker 1: I know a little bit about this because there was 510 00:30:12,040 --> 00:30:14,520 Speaker 1: this um a few years ago. I was looking into this, 511 00:30:14,720 --> 00:30:20,200 Speaker 1: uh this Nazi I get shocker, UM, who are people 512 00:30:20,200 --> 00:30:23,760 Speaker 1: were trying to sue because he was Nazi needed like 513 00:30:24,480 --> 00:30:27,560 Speaker 1: Nazi violent stuff anyway, um, And they but like they 514 00:30:27,560 --> 00:30:29,960 Speaker 1: couldn't sue him because he kind of fell off the 515 00:30:29,960 --> 00:30:32,959 Speaker 1: grid and people couldn't find where to serve papers. Like 516 00:30:33,160 --> 00:30:35,560 Speaker 1: it was this whole like investigation to figuring out where 517 00:30:35,640 --> 00:30:39,320 Speaker 1: he is so that you could serve um documents. There 518 00:30:39,360 --> 00:30:42,000 Speaker 1: was like this whole like investigative team that was like 519 00:30:42,000 --> 00:30:44,960 Speaker 1: like narrowed it down to the city and then like 520 00:30:45,080 --> 00:30:47,520 Speaker 1: narrowed it down to like what grocery store he frequents. 521 00:30:47,680 --> 00:30:50,320 Speaker 1: Then they would like stand in the grocery store waiting 522 00:30:50,360 --> 00:30:52,560 Speaker 1: for him to get groceries and then like try to 523 00:30:52,640 --> 00:30:55,880 Speaker 1: you know, serve him the trying to serve him the documents. 524 00:30:55,920 --> 00:30:58,120 Speaker 1: But they never could. There was like one time that 525 00:30:58,240 --> 00:31:01,960 Speaker 1: like one of the investigators saw someone who thought it 526 00:31:02,080 --> 00:31:04,360 Speaker 1: was him in the grocery store but didn't think it 527 00:31:04,400 --> 00:31:05,960 Speaker 1: was and turned out that actually was, and then they 528 00:31:06,040 --> 00:31:08,000 Speaker 1: they didn't see him for like months and months after 529 00:31:08,360 --> 00:31:11,239 Speaker 1: and they're like they were like beating themselves up over it. Um, 530 00:31:11,320 --> 00:31:22,880 Speaker 1: did you imagine that was? Yeah? It sucks. So I 531 00:31:23,200 --> 00:31:25,000 Speaker 1: get like, as long as they could never give you 532 00:31:25,040 --> 00:31:28,640 Speaker 1: the papers, you're they're they're not they're they're not suing 533 00:31:28,640 --> 00:31:30,800 Speaker 1: you yet. Whether or not that can be used at 534 00:31:30,840 --> 00:31:32,760 Speaker 1: the trial, I don't know, I mean, because that would 535 00:31:32,800 --> 00:31:36,480 Speaker 1: clearly be like, uh, your honor, this person was literally 536 00:31:36,920 --> 00:31:41,360 Speaker 1: evading any form of accountability, like he was running from 537 00:31:41,480 --> 00:31:44,480 Speaker 1: us because he knew what was going on. You don't, 538 00:31:45,000 --> 00:31:47,280 Speaker 1: I don't know. And according all his like sound bites 539 00:31:47,320 --> 00:31:50,040 Speaker 1: before he was before he got this paper served, he 540 00:31:50,120 --> 00:31:52,800 Speaker 1: was like, oh, yeah, I'm with that. Hit me with 541 00:31:52,840 --> 00:31:55,040 Speaker 1: that billion. That's they're just trying to sucking pump me. 542 00:31:55,160 --> 00:31:57,040 Speaker 1: I'm ready, I have receipts. They don't want to know, 543 00:31:57,360 --> 00:31:59,440 Speaker 1: they don't want to see me in court. Actually, you 544 00:31:59,480 --> 00:32:01,680 Speaker 1: know what would like that because I would like to 545 00:32:01,720 --> 00:32:03,880 Speaker 1: go to court and bring out all this evidence. Cut 546 00:32:03,880 --> 00:32:09,160 Speaker 1: to you running the funk away entire squealing to be 547 00:32:09,200 --> 00:32:11,560 Speaker 1: like driver, get the doors out of it, get the 548 00:32:11,600 --> 00:32:15,480 Speaker 1: documents out of the door. Like, come on with with 549 00:32:15,520 --> 00:32:20,000 Speaker 1: the with the Guliani thing. Who should who is your 550 00:32:20,000 --> 00:32:25,520 Speaker 1: pick to? Who's your pick to direct this movie? I 551 00:32:25,560 --> 00:32:28,480 Speaker 1: think like a guy Ritchie kind of snatched type, you know, 552 00:32:28,600 --> 00:32:31,760 Speaker 1: keep it upbeat with some good music, or you can 553 00:32:31,840 --> 00:32:36,800 Speaker 1: do whoever directed the latest Tom and Jerry cartoons, because 554 00:32:37,360 --> 00:32:42,200 Speaker 1: that was like very like three directors, one story. Giuliani 555 00:32:42,280 --> 00:32:46,800 Speaker 1: evading the Summons story I do. It's so great the 556 00:32:46,800 --> 00:32:51,160 Speaker 1: way this clashes with he and Mike Lindell just being like, yes, 557 00:32:51,440 --> 00:32:55,840 Speaker 1: finally you're gonna bring the lawsuit. You've walked right into 558 00:32:56,200 --> 00:33:00,720 Speaker 1: my trap because now we'll really find out the real 559 00:33:01,040 --> 00:33:05,320 Speaker 1: case that I've been doing behind the scenes. It's just 560 00:33:05,360 --> 00:33:06,960 Speaker 1: like you know, like when people lie and they're like 561 00:33:07,040 --> 00:33:09,240 Speaker 1: yeah you'll see, Yeah, you'll see, and you're like, yeah, 562 00:33:09,280 --> 00:33:12,640 Speaker 1: we will, motherfucker, we will see. And right now it's 563 00:33:12,640 --> 00:33:14,840 Speaker 1: like that interim period where you can bluff that you 564 00:33:14,920 --> 00:33:16,880 Speaker 1: have the proof until you have to actually put the 565 00:33:16,920 --> 00:33:19,080 Speaker 1: cards down. You know, it's like poker baby, but now 566 00:33:19,120 --> 00:33:21,880 Speaker 1: he's now he's crying, you know on TV is like 567 00:33:22,520 --> 00:33:27,040 Speaker 1: I've lost sixty five million in revenue. Who Michae Lindell, Yes, 568 00:33:27,240 --> 00:33:30,440 Speaker 1: this six hours ago, this headline just came out. He 569 00:33:30,480 --> 00:33:33,440 Speaker 1: says election fraud claims have cost him sixtue. I mean 570 00:33:33,480 --> 00:33:36,240 Speaker 1: whatever that means to him, fine, But like, but where's 571 00:33:36,280 --> 00:33:41,360 Speaker 1: all this energy, Mr Patriot hero The weirdly like the 572 00:33:41,480 --> 00:33:45,880 Speaker 1: um case against him that uh there, Brent, that Dominion 573 00:33:46,000 --> 00:33:48,920 Speaker 1: is bringing is like they kind of framed it as 574 00:33:49,000 --> 00:33:51,240 Speaker 1: like he was doing all of this to make money, 575 00:33:51,320 --> 00:33:53,400 Speaker 1: which I don't know why they did that, because even 576 00:33:53,440 --> 00:33:57,880 Speaker 1: if he's losing money by claiming this, it's still like 577 00:33:58,000 --> 00:34:00,200 Speaker 1: not good. I guess I guess maybe it's a or 578 00:34:00,240 --> 00:34:03,200 Speaker 1: of like whether he actually believes it, Yeah, and probably 579 00:34:03,240 --> 00:34:07,040 Speaker 1: what they can prove, like yeah, that sounds because like 580 00:34:07,080 --> 00:34:10,800 Speaker 1: you have to probably put like for Juliani, Powell, Trump, 581 00:34:10,840 --> 00:34:12,799 Speaker 1: it's easy to know what the incentive is, like they're 582 00:34:12,800 --> 00:34:15,480 Speaker 1: being paid to do this by Trump, who's the main 583 00:34:15,520 --> 00:34:18,440 Speaker 1: beneficiary of the lie, whereas like he I don't know. 584 00:34:18,480 --> 00:34:19,880 Speaker 1: I mean, I'm not a fucking lawyer, so I'm just 585 00:34:19,880 --> 00:34:22,600 Speaker 1: gonna shut up. But I wonder if that's part of 586 00:34:22,680 --> 00:34:25,040 Speaker 1: partly like they can actually prove like this connection of 587 00:34:25,120 --> 00:34:27,920 Speaker 1: like he's doing this, like he's participating in this because 588 00:34:27,960 --> 00:34:30,840 Speaker 1: there's something in hit for him to continue to defame 589 00:34:30,880 --> 00:34:33,080 Speaker 1: the company. But that doesn't doesn't need to be like 590 00:34:33,200 --> 00:34:37,520 Speaker 1: a straightforward it's a immediate rise in sales like that. 591 00:34:37,520 --> 00:34:40,759 Speaker 1: That's what is seems questionable to me that they like 592 00:34:40,960 --> 00:34:44,240 Speaker 1: made it that they made it contingent on that, because 593 00:34:44,400 --> 00:34:48,680 Speaker 1: it could easily just be he's trying to get a 594 00:34:48,680 --> 00:34:53,680 Speaker 1: authoritarian coup with his best friend as the furor, Like well, like, 595 00:34:53,760 --> 00:34:57,239 Speaker 1: what do you what more do you need for like incentive? 596 00:34:57,560 --> 00:35:02,200 Speaker 1: You're now you're talking like millennial court. That's why we 597 00:35:02,200 --> 00:35:04,960 Speaker 1: would we should be able to be like, hey, my honor. 598 00:35:05,560 --> 00:35:09,520 Speaker 1: Uh look this dude, like like Jack just said his 599 00:35:09,600 --> 00:35:11,080 Speaker 1: best friend is going to be the fear and he 600 00:35:11,120 --> 00:35:14,800 Speaker 1: wanted the front row seat. That's what the right. But yeah, 601 00:35:15,000 --> 00:35:18,080 Speaker 1: it does seem outdated to me that, um, we still 602 00:35:18,120 --> 00:35:21,319 Speaker 1: need to like play tag with people who are being 603 00:35:21,360 --> 00:35:27,479 Speaker 1: sued instead of that there's a tag clause being being 604 00:35:27,600 --> 00:35:31,400 Speaker 1: held to account for your crimes, Like couldn't you just 605 00:35:31,440 --> 00:35:35,080 Speaker 1: like get outside of their house and blare through like 606 00:35:35,160 --> 00:35:37,520 Speaker 1: a sound system, Like it just seems like there's plenty 607 00:35:37,560 --> 00:35:40,680 Speaker 1: of ways you can make it unavoidable. This is why 608 00:35:40,719 --> 00:35:43,640 Speaker 1: I'm super excited to get sued. It's because I can 609 00:35:43,680 --> 00:35:47,600 Speaker 1: just parkour away and then oh that'd be a six 610 00:35:47,719 --> 00:35:51,879 Speaker 1: scene with park but you're his stunt doubles and they 611 00:35:51,920 --> 00:35:54,880 Speaker 1: got through and he's like, shit, they got me, And 612 00:35:55,120 --> 00:36:02,160 Speaker 1: oh shit, who's who's your pick? We I don't think 613 00:36:02,200 --> 00:36:04,439 Speaker 1: we got your pick for the um, we could get 614 00:36:04,480 --> 00:36:07,000 Speaker 1: the guy who did Oceans eleven. I think would be 615 00:36:07,040 --> 00:36:09,160 Speaker 1: would would make a pretty would like make like a 616 00:36:09,160 --> 00:36:12,640 Speaker 1: pretty funny movie based on that, Like it wouldn't be good, 617 00:36:12,920 --> 00:36:16,560 Speaker 1: but it'd be like funny to watch. Yeah, I think, like, 618 00:36:17,840 --> 00:36:19,680 Speaker 1: I don't know, because I think I'll take it overly 619 00:36:19,760 --> 00:36:21,839 Speaker 1: seriously in some ways and it'll just turn into kind 620 00:36:21,880 --> 00:36:26,440 Speaker 1: of being accidentally campy. Yeah. What was that one? Uh, 621 00:36:26,800 --> 00:36:33,120 Speaker 1: like French Parker film? Yeah? Yeah, yeah, that's who the directorship. 622 00:36:34,600 --> 00:36:37,080 Speaker 1: I forget who directed that, but the main star of 623 00:36:37,120 --> 00:36:39,040 Speaker 1: that was the guy that people credit for being the 624 00:36:39,040 --> 00:36:44,440 Speaker 1: inventor Parker, David Bell. Really yeah, it's a Luke Bassan movie. 625 00:36:45,200 --> 00:36:48,279 Speaker 1: Oh I don't even know that, all right, I didn't either. 626 00:36:49,160 --> 00:36:52,000 Speaker 1: It's it's okay. Um, the French version is better than 627 00:36:52,040 --> 00:36:55,440 Speaker 1: the American adaptation, so there. Yeah, yeah, that's what I meant. 628 00:36:55,480 --> 00:36:59,680 Speaker 1: The Loup the French version, yeah, starring Rudy Giuliani now 629 00:37:00,000 --> 00:37:03,760 Speaker 1: a Guliani. Yes, I feel like that's one of those 630 00:37:04,040 --> 00:37:07,759 Speaker 1: art forms or you know, skills that you can't beat, uh, 631 00:37:08,080 --> 00:37:11,680 Speaker 1: just watching somebody do it in a YouTube video, because 632 00:37:12,160 --> 00:37:15,319 Speaker 1: like Hollywood, it's too easy to be like, oh, that 633 00:37:15,360 --> 00:37:19,480 Speaker 1: was probably special effects or whatever. Um, it's like street magic. 634 00:37:19,560 --> 00:37:22,080 Speaker 1: It's like making a movie about street magic. You're like, yeah, 635 00:37:22,120 --> 00:37:23,640 Speaker 1: well that could have been a that could have been 636 00:37:23,680 --> 00:37:28,200 Speaker 1: an in camera uh special effect. It's funny because like that. 637 00:37:28,360 --> 00:37:30,640 Speaker 1: I remember, you know, back in my day in the 638 00:37:30,719 --> 00:37:33,480 Speaker 1: late nineties, they used like it was like they were 639 00:37:33,520 --> 00:37:36,439 Speaker 1: called actually a freestyle walking, you know what I mean, 640 00:37:36,480 --> 00:37:39,120 Speaker 1: like the beginning of just like whiling out like with 641 00:37:39,200 --> 00:37:41,160 Speaker 1: your feet and just like doing some weird ship. And 642 00:37:41,160 --> 00:37:43,160 Speaker 1: I was like that. I remember my friend Chris, we 643 00:37:43,200 --> 00:37:46,480 Speaker 1: would always laughing like yo, freestyle walking. We had the 644 00:37:46,560 --> 00:37:52,520 Speaker 1: same so funny called the cozy walking. That's like that. 645 00:37:52,560 --> 00:37:54,759 Speaker 1: And then you're like then, like twenty years later, you're like, 646 00:37:54,800 --> 00:37:58,040 Speaker 1: oh ship, they did that. They figured it out, but 647 00:37:58,120 --> 00:38:00,799 Speaker 1: it was based off There's like an md TV like 648 00:38:00,920 --> 00:38:06,000 Speaker 1: segment where they were like and these every cell walkers 649 00:38:06,280 --> 00:38:08,880 Speaker 1: and but they weren't even doing parkour. They would just 650 00:38:08,920 --> 00:38:11,360 Speaker 1: like jump off a bench and do a spin. It 651 00:38:11,440 --> 00:38:14,000 Speaker 1: was basically like it's like it's it was a prank. 652 00:38:14,239 --> 00:38:16,960 Speaker 1: It's like the office Parker that have that's tormented me 653 00:38:17,840 --> 00:38:21,560 Speaker 1: for every day of my life. Now, yeah, yell at 654 00:38:21,560 --> 00:38:29,200 Speaker 1: me when I because then it was soaping before that. 655 00:38:30,320 --> 00:38:33,480 Speaker 1: What remember the shoes soaps that had the grind plate. 656 00:38:33,800 --> 00:38:38,279 Speaker 1: They had a grind plate. No, it didn't have a 657 00:38:38,400 --> 00:38:41,560 Speaker 1: it didn't have wheels on the soul. There was a 658 00:38:41,719 --> 00:38:44,000 Speaker 1: like by the arch there was like a grind plate 659 00:38:44,120 --> 00:38:46,080 Speaker 1: so you could just hit a fucking tense stare in 660 00:38:46,160 --> 00:38:49,560 Speaker 1: your skate shoes on your feet. And I remember my 661 00:38:49,600 --> 00:38:55,440 Speaker 1: boy Jeff just fucking shattered as clavical, like fucking on 662 00:38:55,680 --> 00:38:58,160 Speaker 1: trying to bust it like a sixteen stare. And I 663 00:38:58,200 --> 00:39:00,359 Speaker 1: remember like we were like twelve or third team at 664 00:39:00,360 --> 00:39:01,920 Speaker 1: the time, and like the big thing we teached him 665 00:39:01,920 --> 00:39:03,480 Speaker 1: about was like, Yo, we heard your mom. I'd help 666 00:39:03,480 --> 00:39:08,480 Speaker 1: you pee because like you couldn't use your arms um 667 00:39:08,560 --> 00:39:12,280 Speaker 1: or your mom's a nurse. Cool, real cool dude. Uh. 668 00:39:12,320 --> 00:39:15,160 Speaker 1: That really seems like one of those things that's so 669 00:39:15,200 --> 00:39:17,799 Speaker 1: irresponsible of them to sell that they would have to 670 00:39:17,840 --> 00:39:21,239 Speaker 1: like come up with a fake use, Like why the 671 00:39:21,280 --> 00:39:25,640 Speaker 1: thing is on there because uh, like sliding down banisters 672 00:39:25,640 --> 00:39:29,560 Speaker 1: on your feet like for that doesn't seem like it 673 00:39:29,600 --> 00:39:33,560 Speaker 1: should be legal. Anyways, Uh, shout out to the Nike 674 00:39:33,680 --> 00:39:36,279 Speaker 1: soaps probably wasn't Nike. No, they were their own, they 675 00:39:36,280 --> 00:39:40,160 Speaker 1: were their own company. Nice, good for them. Yeah, shout 676 00:39:40,200 --> 00:39:44,560 Speaker 1: out to them. All right, and let's uh, let's actually 677 00:39:44,640 --> 00:39:57,880 Speaker 1: take a quick break and we'll come back. And we're back. 678 00:39:58,440 --> 00:40:03,320 Speaker 1: And it's been but in the media recently that America 679 00:40:03,480 --> 00:40:09,319 Speaker 1: just crossed the five hundred thousand people lost COVID nineteen milestone. 680 00:40:10,040 --> 00:40:14,680 Speaker 1: Obviously very grim milestone, but Miles, you were pointing out that, uh, 681 00:40:14,719 --> 00:40:18,040 Speaker 1: it's it's worth looking within the statistics that just to 682 00:40:18,200 --> 00:40:22,520 Speaker 1: keep reminding people, you know, because I think everybody has 683 00:40:22,640 --> 00:40:27,640 Speaker 1: different kinds of cultural, socio economic, ethnic blind spots, probably 684 00:40:27,680 --> 00:40:31,239 Speaker 1: to like what the pandemic might look like to your community, 685 00:40:31,360 --> 00:40:36,400 Speaker 1: your city, whatever, of your friend group and the you know, 686 00:40:36,440 --> 00:40:38,400 Speaker 1: when you look at the figures, obviously we've talked a 687 00:40:38,480 --> 00:40:41,200 Speaker 1: lot about, uh, you know, the fact that people of 688 00:40:41,239 --> 00:40:45,040 Speaker 1: color have really been the you know, the biggest group 689 00:40:45,120 --> 00:40:47,800 Speaker 1: that's been disproportionately affected by the virus in terms of death. 690 00:40:48,239 --> 00:40:50,319 Speaker 1: And when you look at some of these statistics that 691 00:40:50,320 --> 00:40:52,359 Speaker 1: were put together just about a week ago, so right 692 00:40:52,400 --> 00:40:56,160 Speaker 1: before we got to five hundred thousand. UM you look 693 00:40:56,160 --> 00:40:58,960 Speaker 1: into some of like the death per hundred thousand statistics 694 00:40:59,000 --> 00:41:02,279 Speaker 1: and it's really it's grim right. Uh. One in four 695 00:41:02,360 --> 00:41:05,319 Speaker 1: hundred seventy five Indigenous Americans has died, so that's two 696 00:41:05,600 --> 00:41:08,640 Speaker 1: D ten deaths per hundred thousand. One in six hundred 697 00:41:08,680 --> 00:41:11,720 Speaker 1: forty five Black Americans has died, that's one D fifty 698 00:41:11,719 --> 00:41:15,000 Speaker 1: five per hundred thousand. Uh. Like, it takes a second, 699 00:41:15,400 --> 00:41:17,799 Speaker 1: like when you start looking at who is making up 700 00:41:17,880 --> 00:41:21,279 Speaker 1: the country demographically numerically, and then what who's you know, 701 00:41:21,840 --> 00:41:25,120 Speaker 1: to use the term grimly like overperforming based on the 702 00:41:25,160 --> 00:41:28,080 Speaker 1: actual share of people who are in the population. It's 703 00:41:28,280 --> 00:41:32,560 Speaker 1: people of color who are who are really looking at 704 00:41:32,600 --> 00:41:36,880 Speaker 1: death rates that are in the multiples of their white counterparts. 705 00:41:36,920 --> 00:41:40,120 Speaker 1: Black Americans die at twice the rate of their white counterparts, 706 00:41:40,200 --> 00:41:44,240 Speaker 1: Indigenous people two point two times, Latin next two point 707 00:41:44,320 --> 00:41:47,480 Speaker 1: four times. And you know, as we look around and 708 00:41:47,520 --> 00:41:49,880 Speaker 1: we're we talked about, oh, the numbers are going down 709 00:41:49,920 --> 00:41:51,799 Speaker 1: and that's good, and like the u K Is talking 710 00:41:51,800 --> 00:41:53,879 Speaker 1: about maybe they're gonna be open by June twenty one 711 00:41:53,880 --> 00:41:55,120 Speaker 1: and all this ship and I see all the memes 712 00:41:55,120 --> 00:41:57,600 Speaker 1: going up on UK Twitter, but you know, in this 713 00:41:57,640 --> 00:42:00,840 Speaker 1: country to like, we're also having we're also dealing again, 714 00:42:01,080 --> 00:42:03,839 Speaker 1: not with just how this is disproportionately impacting people of color, 715 00:42:03,920 --> 00:42:06,279 Speaker 1: like in terms of when you get infected, but even 716 00:42:06,320 --> 00:42:10,560 Speaker 1: with how we're distributing the care and the vaccinations. White 717 00:42:10,640 --> 00:42:14,399 Speaker 1: Americans accounted for sixty of the number of people who 718 00:42:14,400 --> 00:42:18,960 Speaker 1: have been fully vaccinated. Just over five um who have 719 00:42:19,000 --> 00:42:22,719 Speaker 1: been who have received two doses are black, and a 720 00:42:22,760 --> 00:42:25,040 Speaker 1: lot of it is too. We have really fucked up 721 00:42:25,040 --> 00:42:30,400 Speaker 1: ways of measuring these demographics, like, uh, black life expectancy 722 00:42:30,480 --> 00:42:33,520 Speaker 1: isn't typically going to seventy five. So by saying, oh, 723 00:42:33,680 --> 00:42:36,320 Speaker 1: people over this age can get access, you are already 724 00:42:36,400 --> 00:42:39,800 Speaker 1: eliminating an entire group of people because of the negligent 725 00:42:39,880 --> 00:42:43,040 Speaker 1: way our health care system works, our lack of social 726 00:42:43,640 --> 00:42:46,640 Speaker 1: social safety nets and things like that. So it's it's 727 00:42:46,719 --> 00:42:50,480 Speaker 1: it's already like it's insidious, and even how we're distributing 728 00:42:50,520 --> 00:42:53,040 Speaker 1: the vaccine because like that it's I was like, well, 729 00:42:53,239 --> 00:42:54,920 Speaker 1: this is the age that we're targeting. It's like, but 730 00:42:55,040 --> 00:42:58,319 Speaker 1: look it, but break it down demographically, like there's high 731 00:42:58,400 --> 00:43:00,880 Speaker 1: risk groups in their sixties, for people that should be 732 00:43:00,920 --> 00:43:03,640 Speaker 1: getting this who are just as in need of this 733 00:43:03,680 --> 00:43:07,560 Speaker 1: as people over seventy. So you know, all this to say, 734 00:43:07,600 --> 00:43:12,640 Speaker 1: like as as the news focus and things change and 735 00:43:12,680 --> 00:43:14,840 Speaker 1: things like that, we have to really be able to 736 00:43:14,920 --> 00:43:16,879 Speaker 1: keep this at the front of our mind because yes, 737 00:43:16,920 --> 00:43:21,359 Speaker 1: while the actual pandemic response itself was just disastrous, it's 738 00:43:21,400 --> 00:43:27,520 Speaker 1: again underlining this really violent way of of treatment that 739 00:43:27,560 --> 00:43:30,359 Speaker 1: we are subjecting people of color too. It's not just 740 00:43:30,400 --> 00:43:32,600 Speaker 1: because oh, well, there maybe there's something about people who 741 00:43:32,640 --> 00:43:35,000 Speaker 1: aren't white the virus effects of different than that's not 742 00:43:35,080 --> 00:43:38,040 Speaker 1: the fucking case, but it's because we aren't taking care 743 00:43:38,080 --> 00:43:39,600 Speaker 1: of people. And look at some of the maps where 744 00:43:39,600 --> 00:43:42,400 Speaker 1: people are getting vaccinated, like in l A, like South 745 00:43:42,560 --> 00:43:44,399 Speaker 1: l A, where a lot of people, majority of people 746 00:43:44,480 --> 00:43:47,719 Speaker 1: that areas of majority of people color, barely any vaccinations 747 00:43:47,719 --> 00:43:52,040 Speaker 1: getting out there Lancaster fucking barely. And it's not but 748 00:43:52,200 --> 00:43:55,080 Speaker 1: it's not a fucking mistake or I'm sure there's a 749 00:43:55,120 --> 00:43:58,560 Speaker 1: way to have these benign explanations, but to not actually 750 00:43:58,560 --> 00:44:01,000 Speaker 1: put that at the forefront, say, we have to actually 751 00:44:01,080 --> 00:44:03,640 Speaker 1: meet people where they are and when they needed to 752 00:44:03,680 --> 00:44:06,960 Speaker 1: be safe and address this. You know, we're sorking up. 753 00:44:07,000 --> 00:44:10,840 Speaker 1: But yeah, it's every facet of American called like any 754 00:44:10,880 --> 00:44:13,959 Speaker 1: time there's a stress test, anytime you look at any 755 00:44:14,200 --> 00:44:20,680 Speaker 1: fastive American culture, American medicine, like just the um you know, 756 00:44:21,080 --> 00:44:25,960 Speaker 1: down to who gets prescribed painkillers, like that, that is 757 00:44:25,960 --> 00:44:29,480 Speaker 1: a thing that is racist. Yeah, I mean, it's just 758 00:44:29,600 --> 00:44:35,680 Speaker 1: any when we're trying to address systemic and racial inequality 759 00:44:36,160 --> 00:44:40,040 Speaker 1: without acknowledging that the thing we're trying to address it 760 00:44:40,080 --> 00:44:45,200 Speaker 1: with is racist and white supremacist, it doesn't work. You 761 00:44:45,239 --> 00:44:50,200 Speaker 1: can't with a broken tool, right if it's over seventy five, 762 00:44:50,239 --> 00:44:52,520 Speaker 1: it needs to be there. But you know, you have 763 00:44:52,600 --> 00:44:57,040 Speaker 1: to be a little more uh, I guess analytical, because 764 00:44:57,080 --> 00:44:59,040 Speaker 1: there's many health experts that they are like, well, that's 765 00:44:59,040 --> 00:45:01,640 Speaker 1: not gonna that's only gonn help mostly white people and 766 00:45:01,719 --> 00:45:06,920 Speaker 1: the numbers. Yeah, it's that's it's not it's not a 767 00:45:07,000 --> 00:45:11,399 Speaker 1: very intersexual approach at all. Um. Yeah, I mean, it's 768 00:45:11,640 --> 00:45:14,359 Speaker 1: it's it's just it's it's all. It's overwhelming and hard 769 00:45:14,400 --> 00:45:17,800 Speaker 1: to fathom. Yeah, I mean, look, it's that America is 770 00:45:17,840 --> 00:45:21,400 Speaker 1: at the intersection of sucking supply and demand, you know 771 00:45:21,440 --> 00:45:25,719 Speaker 1: what I mean. Let's uh talk about Joe Biden real quick. 772 00:45:25,760 --> 00:45:28,040 Speaker 1: I just like to check him with where he's coming 773 00:45:28,080 --> 00:45:35,720 Speaker 1: down on policies that affect Americans. It was Janet Yellen 774 00:45:36,120 --> 00:45:39,480 Speaker 1: recently reported that in terms of how they're going to 775 00:45:39,560 --> 00:45:44,760 Speaker 1: pay for various programs to help America get back after 776 00:45:45,280 --> 00:45:51,000 Speaker 1: the pandemic, said they're pursuing corporate tax and capital gains taxes. Uh. 777 00:45:51,080 --> 00:45:56,000 Speaker 1: She's open to discussing a wealth tax, but Biden is not. Uh. 778 00:45:56,040 --> 00:45:59,520 Speaker 1: And then also just opened his first detention facility for 779 00:45:59,560 --> 00:46:04,480 Speaker 1: immigrant children. So all the people who were like, finally 780 00:46:04,760 --> 00:46:09,480 Speaker 1: Biden one and I can now celebrate because there will 781 00:46:09,560 --> 00:46:14,000 Speaker 1: no longer be children in cages, so they're unaccompanied miners 782 00:46:14,040 --> 00:46:18,840 Speaker 1: in overflow facilities, is what people and my Twitter replies 783 00:46:18,880 --> 00:46:22,000 Speaker 1: are saying. Because I have an outrageous amount of like 784 00:46:22,680 --> 00:46:26,160 Speaker 1: you know, like capital l liberal followers because of my 785 00:46:26,200 --> 00:46:29,719 Speaker 1: reporting last summer um and every time I bring up 786 00:46:29,800 --> 00:46:34,400 Speaker 1: stuff about Biden, I get like tens or like like 787 00:46:34,440 --> 00:46:36,799 Speaker 1: dozens of dozens of people being like, oh but it's 788 00:46:36,960 --> 00:46:40,400 Speaker 1: the first three months, or oh but he's still dealing 789 00:46:40,400 --> 00:46:42,640 Speaker 1: with the best Trump left over, or oh well it's 790 00:46:42,680 --> 00:46:45,560 Speaker 1: different because X, Y and Z, and it's like they're 791 00:46:45,600 --> 00:46:48,960 Speaker 1: incapable of criticizing Biden because I don't know, it's it's 792 00:46:48,960 --> 00:46:53,640 Speaker 1: a it's a weird thing because they're centering themselves when 793 00:46:53,680 --> 00:46:56,560 Speaker 1: they when they defend Joe Biden, you know what I mean, 794 00:46:56,600 --> 00:46:59,600 Speaker 1: they're trying to because it doesn't really bother them, and 795 00:46:59,640 --> 00:47:02,560 Speaker 1: the fact that it's bothering other people now like, well 796 00:47:02,560 --> 00:47:04,799 Speaker 1: it should it, well no, but it's only And then 797 00:47:04,840 --> 00:47:08,000 Speaker 1: now you're just hearing their rationalizations to why they aren't outraged, 798 00:47:08,280 --> 00:47:10,880 Speaker 1: because really they should just be able to say, just 799 00:47:11,400 --> 00:47:14,160 Speaker 1: dial it back objectively. Do we still want to put 800 00:47:14,239 --> 00:47:16,200 Speaker 1: kids in cages? Do we not? Do we not want 801 00:47:16,200 --> 00:47:19,359 Speaker 1: to reunite people like whether or not who, no matter 802 00:47:19,360 --> 00:47:21,719 Speaker 1: who's the president. If that's the case, then why can't 803 00:47:21,760 --> 00:47:25,000 Speaker 1: we demand that that happens, that we are reuniting families. 804 00:47:25,239 --> 00:47:27,439 Speaker 1: And then, but here's the thing, Joe Biden, he's really 805 00:47:27,920 --> 00:47:30,520 Speaker 1: they did a good move where you know, there was 806 00:47:30,560 --> 00:47:35,280 Speaker 1: that deportation freeze that was blocked by a conservative judge 807 00:47:35,360 --> 00:47:37,680 Speaker 1: and they said, well the judge blocked, the judge blocked it. 808 00:47:37,880 --> 00:47:39,600 Speaker 1: What do you want to do, Well, then, motherfucker you 809 00:47:39,719 --> 00:47:42,800 Speaker 1: the president start feeling some ship out, start cracking some skulls. 810 00:47:43,400 --> 00:47:45,560 Speaker 1: That's the thing. It's like, yeah, I was. I was 811 00:47:45,600 --> 00:47:48,960 Speaker 1: angry tweeting about that for a while, and I'm like like, 812 00:47:49,400 --> 00:47:51,279 Speaker 1: it's like I've got you know, hundreds of people at 813 00:47:51,280 --> 00:47:54,319 Speaker 1: this point and being like, oh well, one conservative said no, 814 00:47:54,880 --> 00:47:57,600 Speaker 1: I guess we can't do anything else. We tried like no, 815 00:47:58,040 --> 00:48:01,239 Speaker 1: you're the president's the most power Aventa the country are 816 00:48:01,360 --> 00:48:05,080 Speaker 1: arguably um like like, if Ice is it, if I 817 00:48:05,120 --> 00:48:07,920 Speaker 1: say it listening and there's a there's a judge blocking this, 818 00:48:08,200 --> 00:48:11,759 Speaker 1: then start just dismantling Ice, like like you can you 819 00:48:11,800 --> 00:48:14,560 Speaker 1: can do things here the most power that have the 820 00:48:14,560 --> 00:48:18,360 Speaker 1: most political power that anyone else in the country, possibly 821 00:48:18,400 --> 00:48:22,160 Speaker 1: the world. You're gonna let one conservative judge like stop. 822 00:48:22,200 --> 00:48:23,759 Speaker 1: You know, it's just because you don't want to put 823 00:48:23,760 --> 00:48:27,680 Speaker 1: in the work. Judge and fucking Joe Mansion are fucking 824 00:48:27,800 --> 00:48:31,200 Speaker 1: fucking everything up because suddenly the man from West Virginia, 825 00:48:31,239 --> 00:48:34,520 Speaker 1: he's the stunt queen of the Senate and he's like, oh, well, 826 00:48:34,560 --> 00:48:37,239 Speaker 1: now my vote is really the deciding things, so let 827 00:48:37,239 --> 00:48:40,840 Speaker 1: me fucking funk around with the OMB nominations or maybe 828 00:48:40,840 --> 00:48:44,200 Speaker 1: Deb Holland for the Interior, who absolutely should be running 829 00:48:44,200 --> 00:48:46,080 Speaker 1: the Interior. But he's trying to make noise like, oh, 830 00:48:46,120 --> 00:48:48,640 Speaker 1: I don't know about that, Like, get the fuck out 831 00:48:48,680 --> 00:48:51,080 Speaker 1: of here, because now he's found a way to be 832 00:48:51,239 --> 00:48:53,880 Speaker 1: the you know a little bit of a power broker 833 00:48:53,920 --> 00:48:56,680 Speaker 1: and ship and it's it's all getting funked up. And 834 00:48:56,760 --> 00:48:59,080 Speaker 1: I think it's also placed into how like the capital 835 00:48:59,360 --> 00:49:03,520 Speaker 1: capital D Democratic you know voters UM and and part 836 00:49:03,560 --> 00:49:07,440 Speaker 1: of members. They're like so terrified of any criticism of 837 00:49:07,480 --> 00:49:10,279 Speaker 1: the of the Democratic Party. Like always it's like, you know, oh, 838 00:49:10,360 --> 00:49:13,480 Speaker 1: we can't criticize people right now, it's gonna affect the 839 00:49:13,520 --> 00:49:16,160 Speaker 1: mid terms, and oh after the midterms, we can't criticize anyone, 840 00:49:16,320 --> 00:49:18,640 Speaker 1: it's gonna affect the general It's like they can they 841 00:49:18,680 --> 00:49:22,560 Speaker 1: can never take any criticism of the candidates because they 842 00:49:22,560 --> 00:49:25,680 Speaker 1: feel like it's just an attack wholly on their idea 843 00:49:25,800 --> 00:49:29,799 Speaker 1: of like progressiveness, UM, even when the criticism is coming 844 00:49:29,880 --> 00:49:33,000 Speaker 1: from further left UM, just because they feel like any 845 00:49:33,040 --> 00:49:35,320 Speaker 1: of it is they It's almost like they feel like 846 00:49:35,360 --> 00:49:38,479 Speaker 1: the party is so fragile that under any criticism they'll 847 00:49:38,480 --> 00:49:41,279 Speaker 1: fall apart. In the conservatives are going to get in UM. 848 00:49:41,440 --> 00:49:44,160 Speaker 1: Actually it's their own egos that are so fragile and 849 00:49:44,360 --> 00:49:46,960 Speaker 1: fall apart at any criticism because the people on the 850 00:49:47,000 --> 00:49:50,400 Speaker 1: outside aren't looking at it like that, that's belt Way thinking, 851 00:49:50,520 --> 00:49:53,359 Speaker 1: that's hell, thinking of like, yeah, you can't don't say 852 00:49:53,400 --> 00:49:58,239 Speaker 1: this about them, because most people aren't like wonky enough 853 00:49:58,560 --> 00:50:02,279 Speaker 1: to understand the optics arguments or the polling to see 854 00:50:02,280 --> 00:50:04,600 Speaker 1: like why one thing doesn't work when most people think 855 00:50:04,600 --> 00:50:07,480 Speaker 1: like I'm seeing that a majority of people want medicare 856 00:50:07,560 --> 00:50:10,000 Speaker 1: for all, I'm seeing a majority of people want of 857 00:50:10,040 --> 00:50:13,320 Speaker 1: an aggressive green new deal or path to renewable energy, 858 00:50:13,480 --> 00:50:16,759 Speaker 1: and they that's like they just can't they can't really 859 00:50:16,760 --> 00:50:19,440 Speaker 1: summon the energy to be like, wow, a majority of 860 00:50:19,440 --> 00:50:22,960 Speaker 1: Americans are on this side. Let's now take that and 861 00:50:23,200 --> 00:50:26,680 Speaker 1: March fourth and do good rather than you know, this 862 00:50:26,719 --> 00:50:29,960 Speaker 1: whole other thing of being afraid of whatever criticisms are 863 00:50:29,960 --> 00:50:32,799 Speaker 1: going to come on and then immediately water down legislation 864 00:50:32,880 --> 00:50:34,719 Speaker 1: that helps no one or just the people that you 865 00:50:34,760 --> 00:50:38,120 Speaker 1: want to help specifically. Yeah, I don't know. I'm just 866 00:50:38,239 --> 00:50:41,439 Speaker 1: I'm so frustrated. I've lost I've lost at this point, 867 00:50:41,520 --> 00:50:45,080 Speaker 1: probably thousands of Twitter followers because I'm just like rage 868 00:50:45,080 --> 00:50:47,799 Speaker 1: tweeting about how Biden's not doing anything and I have 869 00:50:47,840 --> 00:50:51,120 Speaker 1: all these like, you know, these people with like Biden 870 00:50:51,200 --> 00:50:57,200 Speaker 1: Kamala user names like I don't high, don't care like 871 00:50:57,640 --> 00:51:00,959 Speaker 1: you're you're now you're just you know you have like oh, 872 00:51:01,120 --> 00:51:03,960 Speaker 1: I you know you have like because of like anti 873 00:51:04,000 --> 00:51:05,839 Speaker 1: Trump stuff in your bio. And now you're the one 874 00:51:06,880 --> 00:51:12,840 Speaker 1: quote unquote defending these unoccupied miners in over flow facilities 875 00:51:12,880 --> 00:51:15,360 Speaker 1: like no, like, you're too like you're too offended to 876 00:51:15,400 --> 00:51:17,200 Speaker 1: call it kids in cages. Now that we have a 877 00:51:17,200 --> 00:51:21,280 Speaker 1: blue person in office, come on, yeah, you know, stress 878 00:51:20,920 --> 00:51:24,120 Speaker 1: think that's just sucking the same ship. It's like, nope, 879 00:51:24,360 --> 00:51:28,080 Speaker 1: fucking tunnel vision. Nothing is is wrong, but yeah, it's like, 880 00:51:28,320 --> 00:51:30,520 Speaker 1: rather than getting mad at the people who are have 881 00:51:30,800 --> 00:51:34,839 Speaker 1: the awareness and uh analytical skills to be like, this 882 00:51:34,920 --> 00:51:36,960 Speaker 1: is not what he said he would do. This is 883 00:51:37,000 --> 00:51:42,160 Speaker 1: not good objectively for children, send your outrage to the 884 00:51:42,200 --> 00:51:44,319 Speaker 1: people that are keeping the kids in the cages. Why 885 00:51:44,320 --> 00:51:46,280 Speaker 1: are you getting mad at the people who are making 886 00:51:46,280 --> 00:51:49,280 Speaker 1: you realize that the people that the guy who's in office, 887 00:51:49,280 --> 00:51:50,839 Speaker 1: who most people like he's not gonna do with any 888 00:51:50,880 --> 00:51:53,959 Speaker 1: of this ship that it's turning out to be true. 889 00:51:54,440 --> 00:51:56,920 Speaker 1: Start then start advocating for the people that if you 890 00:51:56,960 --> 00:51:59,239 Speaker 1: really give a fuck, Yeah, but then they have to 891 00:51:59,280 --> 00:52:03,120 Speaker 1: pause brunch and brunches so tasty. But like I tweeted 892 00:52:03,160 --> 00:52:06,680 Speaker 1: about the fucking m attention scility today and you know, 893 00:52:06,760 --> 00:52:09,759 Speaker 1: one of one of the replies from a person with 894 00:52:09,800 --> 00:52:12,960 Speaker 1: the blue flag in their in their Twitter names the 895 00:52:13,040 --> 00:52:15,560 Speaker 1: kids in cages thing was because they're using old walmarts 896 00:52:15,600 --> 00:52:18,239 Speaker 1: to build cages. And how is large groups of children here? 897 00:52:18,280 --> 00:52:21,800 Speaker 1: We have modular buildings used as schools. Are their cages? 898 00:52:21,840 --> 00:52:24,160 Speaker 1: Are they just places where people get processed? I need 899 00:52:24,200 --> 00:52:28,640 Speaker 1: more information? Terrible? How about this cage or not detained children? 900 00:52:29,200 --> 00:52:33,239 Speaker 1: As you're looking at like fucking like shipping containers with 901 00:52:33,280 --> 00:52:35,759 Speaker 1: like bars on the windows, Like that's the picture like 902 00:52:37,120 --> 00:52:43,600 Speaker 1: a cage containers. It's a modular place that's like a school. 903 00:52:44,160 --> 00:52:48,440 Speaker 1: The cages or these are tiny prisons from this company 904 00:52:48,440 --> 00:52:51,919 Speaker 1: that does tiny houses from the TLC show, and they're 905 00:52:52,000 --> 00:52:54,399 Speaker 1: great little how It's like, what the fuck? Why? Why 906 00:52:54,400 --> 00:52:56,800 Speaker 1: are why are you going to bend your mind into 907 00:52:56,840 --> 00:52:59,960 Speaker 1: saying because let's distill it down to the real argument, 908 00:53:00,080 --> 00:53:03,879 Speaker 1: which is children should not be detained and separated from 909 00:53:03,880 --> 00:53:07,040 Speaker 1: their parents, and people shouldn't be detained and separated for 910 00:53:07,239 --> 00:53:10,400 Speaker 1: moving to a different country. I get the feeling, like 911 00:53:10,480 --> 00:53:14,800 Speaker 1: the feeling of okay, but Republicans are so much worse, 912 00:53:15,080 --> 00:53:21,720 Speaker 1: and like, strategically, if we're criticizing the Democrats, then uh, 913 00:53:21,760 --> 00:53:25,600 Speaker 1: you know, we're the Republicans are gonna win the next thing. 914 00:53:25,680 --> 00:53:29,520 Speaker 1: But like it really it's really starting to look like 915 00:53:29,600 --> 00:53:33,160 Speaker 1: the thing they object to about the Republicans is less 916 00:53:33,200 --> 00:53:39,279 Speaker 1: policy and more like the wording, Yeah, it's optics and 917 00:53:39,360 --> 00:53:43,120 Speaker 1: like that they don't want to have that put in 918 00:53:43,160 --> 00:53:47,800 Speaker 1: their face that that's what goes on. They want a smooth, 919 00:53:47,960 --> 00:53:51,640 Speaker 1: like a cool looking president who or like a nice 920 00:53:51,719 --> 00:53:56,160 Speaker 1: president who uh does the things that make their life 921 00:53:56,160 --> 00:53:58,520 Speaker 1: possible behind the scenes, so they don't have to think 922 00:53:58,520 --> 00:54:01,479 Speaker 1: about it. Like that's that's the thing that I feel 923 00:54:01,480 --> 00:54:05,600 Speaker 1: like they're not admitting to themselves. Yeah, I mean, like 924 00:54:05,640 --> 00:54:07,960 Speaker 1: I have seen as as many tweets as there are 925 00:54:07,960 --> 00:54:11,319 Speaker 1: about like, you know, immigrants and I stuff that that 926 00:54:11,400 --> 00:54:15,160 Speaker 1: I get from my like more you know, liberal center followers. 927 00:54:15,200 --> 00:54:17,920 Speaker 1: It's the same thing for like people being like expressing 928 00:54:18,000 --> 00:54:21,560 Speaker 1: like relief that that they don't feel obligated to check 929 00:54:21,600 --> 00:54:24,879 Speaker 1: what he's tweeted today. It's like he's it's because it's 930 00:54:24,920 --> 00:54:26,880 Speaker 1: like it's it's like an optics thing, right, It's like 931 00:54:27,080 --> 00:54:30,080 Speaker 1: they don't want someone who looks rude but they don't 932 00:54:30,080 --> 00:54:32,600 Speaker 1: really care about what's actually happening. It's like, it's it's 933 00:54:32,600 --> 00:54:35,520 Speaker 1: what it's what like the facade is like or what 934 00:54:35,600 --> 00:54:39,080 Speaker 1: you know, the optics are to themselves and their friends. 935 00:54:39,160 --> 00:54:41,399 Speaker 1: It's like it's you know, it's it's the it's it's 936 00:54:41,440 --> 00:54:45,200 Speaker 1: like the respectability politics. It's almost more important than actual policy. 937 00:54:45,280 --> 00:54:47,560 Speaker 1: Or it's like someone who like talks about veganism, but 938 00:54:47,600 --> 00:54:49,640 Speaker 1: like they couldn't for a second look at a meat 939 00:54:49,680 --> 00:54:52,759 Speaker 1: processing facility. Yeah you know what I mean, it's like, 940 00:54:52,920 --> 00:54:56,759 Speaker 1: fuck veganism, are you serious? Meat all fucking day? Don't 941 00:54:56,760 --> 00:55:02,520 Speaker 1: show me what Like get the funk out, like you know, 942 00:55:02,680 --> 00:55:05,479 Speaker 1: just fucking deal, look at the ship in its eye 943 00:55:05,560 --> 00:55:07,400 Speaker 1: and then look at reality and then do what you 944 00:55:07,480 --> 00:55:10,400 Speaker 1: gotta do, or just you know, start maybe have a 945 00:55:10,440 --> 00:55:14,040 Speaker 1: little bit of self warness, like am I tricking myself 946 00:55:14,120 --> 00:55:17,080 Speaker 1: a bit to protect myself from maybe thinking a little 947 00:55:17,120 --> 00:55:19,640 Speaker 1: more critically? I mean, and like new things, you know 948 00:55:19,680 --> 00:55:22,680 Speaker 1: a lot of these like new things, Like new things 949 00:55:22,719 --> 00:55:26,239 Speaker 1: are always uncomfortable, right, and it's much easier to kind 950 00:55:26,239 --> 00:55:28,719 Speaker 1: of ignore things and just feel comfortable, right, Like I 951 00:55:28,280 --> 00:55:31,200 Speaker 1: I wish I could sometimes I wish I could just 952 00:55:31,239 --> 00:55:33,239 Speaker 1: like disengage from everything and just you know, live like 953 00:55:33,280 --> 00:55:36,160 Speaker 1: a regular person, because you know, I assume I assume 954 00:55:36,160 --> 00:55:38,560 Speaker 1: it's similar to you how we're You're like so in 955 00:55:38,680 --> 00:55:41,360 Speaker 1: tuned with all current events and all the horrible news, 956 00:55:41,760 --> 00:55:44,320 Speaker 1: and it can be overwhelming and depressing, and it'd be 957 00:55:44,480 --> 00:55:46,759 Speaker 1: nice if you could just you know, funk off into 958 00:55:46,800 --> 00:55:49,840 Speaker 1: the forest and and and fun up to brunch and 959 00:55:49,880 --> 00:55:51,759 Speaker 1: just not have to look at like not have to 960 00:55:51,800 --> 00:55:54,239 Speaker 1: look at this stuff, just like be completely isolated. Right, 961 00:55:54,239 --> 00:55:57,440 Speaker 1: It's like part of that is attractive. Um, but you 962 00:55:57,440 --> 00:55:59,520 Speaker 1: know that's only possible if you come from from a 963 00:55:59,560 --> 00:56:02,040 Speaker 1: place to vileedge, because if you if you aren't privileged, 964 00:56:02,080 --> 00:56:05,600 Speaker 1: you can't do that. So now it should be people's 965 00:56:05,600 --> 00:56:08,319 Speaker 1: obligation to learn about these new things and learn about 966 00:56:08,360 --> 00:56:12,520 Speaker 1: these other solutions, even if they seem uncomfortable, because you 967 00:56:12,560 --> 00:56:14,440 Speaker 1: have the ability to ignore them, but a lot of 968 00:56:14,440 --> 00:56:17,319 Speaker 1: other people don't because it's their everyday life. Let's move 969 00:56:17,360 --> 00:56:20,800 Speaker 1: on real quick to a story about words actually mattering, 970 00:56:20,920 --> 00:56:24,680 Speaker 1: because first of all, that's something that we we're talking about. 971 00:56:24,800 --> 00:56:28,680 Speaker 1: I think on yesterday's episode that um, you know the 972 00:56:28,719 --> 00:56:34,520 Speaker 1: connection between the word kung flu being used by uh 973 00:56:34,640 --> 00:56:38,160 Speaker 1: Donald Trump a year ago and the current rash of 974 00:56:38,239 --> 00:56:43,480 Speaker 1: like hate crimes against elderly Asian and Asian American people. Um, 975 00:56:43,520 --> 00:56:49,040 Speaker 1: there's uh. People are pushing back. Specifically, the Cherokee Nation 976 00:56:49,200 --> 00:56:53,040 Speaker 1: Principal Chief Chuck Hoskin Jr. Is pushing back on Jeep 977 00:56:53,080 --> 00:56:57,879 Speaker 1: to retire their Cherokee line of SUVs uh for what 978 00:56:58,120 --> 00:57:02,759 Speaker 1: should be obvious reasons. Um, the original Jeep Cherokee was 979 00:57:02,880 --> 00:57:06,120 Speaker 1: introduced in nineteen seventy four, so it's not like it 980 00:57:06,520 --> 00:57:13,359 Speaker 1: hails from U. Turn of the Century's basically basically as 981 00:57:13,360 --> 00:57:25,400 Speaker 1: old as my parents. Uh that's crazy, but yeah parents, Um, yeah, man, 982 00:57:25,480 --> 00:57:32,320 Speaker 1: we're cool grandparents. But so jeep. Jeep issued a statement 983 00:57:32,360 --> 00:57:35,920 Speaker 1: about how their vehicle names have been carefully chosen and 984 00:57:36,040 --> 00:57:40,120 Speaker 1: nurtured over the years to honor and celebrate Native American 985 00:57:40,160 --> 00:57:44,479 Speaker 1: people for their nobility, prowess, and pride. Um. But they're 986 00:57:44,520 --> 00:57:47,360 Speaker 1: open to having a dialogue with Hoskin, which I'm sure 987 00:57:47,400 --> 00:57:52,280 Speaker 1: would be in no way uh, you know, demoralizing and 988 00:57:52,880 --> 00:57:59,320 Speaker 1: uh soul draining. Uh they but so jm are writer 989 00:57:59,680 --> 00:58:03,959 Speaker 1: point it out the Jeep already retired the Cherokee branding uh, 990 00:58:04,000 --> 00:58:07,000 Speaker 1: and then brought it back in two thousand two, they 991 00:58:07,040 --> 00:58:09,360 Speaker 1: were like, okay, this is a bad look in two 992 00:58:09,400 --> 00:58:13,240 Speaker 1: thousand two and changed the name that was the year 993 00:58:13,280 --> 00:58:19,720 Speaker 1: I was born? Is it really yes, so I have 994 00:58:19,840 --> 00:58:24,160 Speaker 1: a baby. But in two thousand two they changed the 995 00:58:24,280 --> 00:58:29,360 Speaker 1: name to the jeep Liberty, but then in they went 996 00:58:29,400 --> 00:58:33,520 Speaker 1: back to Cherokee. I didn't know this then, that's wild. Yes, So, 997 00:58:34,440 --> 00:58:39,880 Speaker 1: like the reason that their statement is we want to 998 00:58:39,920 --> 00:58:44,800 Speaker 1: be politically correct and we don't want to offend anybody. However, 999 00:58:45,000 --> 00:58:48,640 Speaker 1: we're really opposed to stereotypes. But if you have a 1000 00:58:48,720 --> 00:58:51,160 Speaker 1: name that offends nobody, then you end up with a 1001 00:58:51,240 --> 00:58:59,760 Speaker 1: forgettable brand. Is what Jesus Christ, which god they are 1002 00:58:59,760 --> 00:59:04,520 Speaker 1: for of all? The name Liberty like pretty it's still 1003 00:59:04,520 --> 00:59:08,880 Speaker 1: cringe e still so bad. It's it's like they're they're 1004 00:59:08,920 --> 00:59:13,800 Speaker 1: blaming the US for the fact that they came up 1005 00:59:13,800 --> 00:59:17,120 Speaker 1: with a name that sounds like they were trying to 1006 00:59:17,160 --> 00:59:21,720 Speaker 1: rename French fries during the Iraq War, like and it's 1007 00:59:21,760 --> 00:59:25,760 Speaker 1: just like they're like, well, that wasn't successful, therefore we 1008 00:59:25,840 --> 00:59:30,640 Speaker 1: have to go back to a explicitly racist name. What 1009 00:59:30,760 --> 00:59:34,160 Speaker 1: the fuck they're so fu I mean whatever, Like again, 1010 00:59:34,360 --> 00:59:36,720 Speaker 1: this is just this is what America looks like now 1011 00:59:37,400 --> 00:59:40,480 Speaker 1: as as like most Americans have you know, are a 1012 00:59:40,480 --> 00:59:43,240 Speaker 1: little more informed than they were like from the maybe 1013 00:59:43,280 --> 00:59:46,720 Speaker 1: seventies consumer base, like a lot of it just as 1014 00:59:46,720 --> 00:59:49,280 Speaker 1: being like, oh god, like if we gotta get rid 1015 00:59:49,320 --> 00:59:52,800 Speaker 1: of all the sports teams, so many cars, and there's 1016 00:59:52,840 --> 00:59:54,840 Speaker 1: just like but then the thinking with these people that 1017 00:59:54,880 --> 00:59:57,200 Speaker 1: are behind them, like what do you want me to do? 1018 00:59:57,400 --> 01:00:02,000 Speaker 1: That the non racist thing didn't sell right exactly. They 1019 01:00:02,800 --> 01:00:08,000 Speaker 1: their decision to go back to the Cherokee after the 1020 01:00:08,200 --> 01:00:13,760 Speaker 1: Liberty failed was based on focus group testing. So it's 1021 01:00:13,840 --> 01:00:18,480 Speaker 1: that whole Yeah, like like you said, it's yeah, that 1022 01:00:18,520 --> 01:00:21,440 Speaker 1: doesn't that doesn't surprise me that they Yeah, that's actually 1023 01:00:21,480 --> 01:00:24,920 Speaker 1: that's actually not shocking. They also used to sell a 1024 01:00:25,040 --> 01:00:31,600 Speaker 1: Comanche and unsubtly a Comanche eliminator with ads featuring white 1025 01:00:31,600 --> 01:00:36,360 Speaker 1: people dressed like cowboys Jesus Christ, and there's a like 1026 01:00:36,520 --> 01:00:40,520 Speaker 1: broad history of this in cars. Pontiac is named after 1027 01:00:40,600 --> 01:00:44,320 Speaker 1: a real life Ottawa chief. Uh sold their cars using 1028 01:00:44,360 --> 01:00:49,800 Speaker 1: ads featuring tiny feathered cartoon Indian braves in quotes that 1029 01:00:49,880 --> 01:00:52,880 Speaker 1: was their words, working the cylinder and the engine like 1030 01:00:53,000 --> 01:00:58,960 Speaker 1: miniature slaves, making it faster. Yeah, So that's this is 1031 01:00:59,040 --> 01:01:03,960 Speaker 1: so much worse than I thought. Wow, yeah, this fucking 1032 01:01:04,000 --> 01:01:07,560 Speaker 1: image is I mean, you know, but that's this is 1033 01:01:07,600 --> 01:01:09,560 Speaker 1: the same ship as like any kind of you know, 1034 01:01:09,840 --> 01:01:14,280 Speaker 1: black face, like sambo type imagery of just straight up 1035 01:01:14,320 --> 01:01:17,840 Speaker 1: like look at these little colored people working their butts 1036 01:01:17,880 --> 01:01:20,880 Speaker 1: off for us to make life easy. Entremimal pancakes or 1037 01:01:22,280 --> 01:01:26,200 Speaker 1: it's like the same ship. Yeah, and we just got 1038 01:01:26,360 --> 01:01:28,720 Speaker 1: rid of anthremime. What are they gonna call I mean 1039 01:01:28,720 --> 01:01:30,960 Speaker 1: what look? So where does where is this gonna end? 1040 01:01:31,560 --> 01:01:34,120 Speaker 1: They're gonna keep calling it? No? No, no, no, no no, 1041 01:01:34,400 --> 01:01:37,800 Speaker 1: not unless I mean not unless Zeke Gang get something 1042 01:01:37,840 --> 01:01:43,160 Speaker 1: done to this podcast number two fifty on the charts. 1043 01:01:44,760 --> 01:01:46,200 Speaker 1: You can't even find us on the charts in the 1044 01:01:46,280 --> 01:01:49,640 Speaker 1: news category. We got this, y'all got it? Yeah, I don't, 1045 01:01:49,720 --> 01:01:53,280 Speaker 1: I mean, what the fun it's? Yeah, you'd hope at 1046 01:01:53,320 --> 01:01:56,200 Speaker 1: the very least, right, they could just make begin to 1047 01:01:56,240 --> 01:01:58,680 Speaker 1: make amends to be like, you know what, here's seventy 1048 01:01:58,680 --> 01:02:01,360 Speaker 1: billion dollars. Yeah, that's what I'm like. If you're gonna 1049 01:02:01,840 --> 01:02:04,800 Speaker 1: use it like with not to say that you can 1050 01:02:04,840 --> 01:02:08,440 Speaker 1: continue to write, but that would be a first step 1051 01:02:08,520 --> 01:02:11,960 Speaker 1: to people being like, yo, fuck all forever. You know what, 1052 01:02:12,000 --> 01:02:13,960 Speaker 1: I mean, I mean not to say that we weren't 1053 01:02:14,000 --> 01:02:16,760 Speaker 1: looking at this same brand over and over and over again, 1054 01:02:16,800 --> 01:02:19,880 Speaker 1: but damn but the looking at it over and over 1055 01:02:19,920 --> 01:02:23,600 Speaker 1: and over again and it being made to seem normal 1056 01:02:23,800 --> 01:02:29,440 Speaker 1: and acceptable is the problem, right, And it implicates us 1057 01:02:29,480 --> 01:02:32,880 Speaker 1: in there, you know, in that by like what you 1058 01:02:32,960 --> 01:02:36,760 Speaker 1: just said, that thought process is like how this ship works, 1059 01:02:36,840 --> 01:02:39,919 Speaker 1: and like why it's so toxic is like it's like, well, 1060 01:02:40,200 --> 01:02:43,680 Speaker 1: you guys are cool with it, so um right, oh 1061 01:02:43,840 --> 01:02:46,160 Speaker 1: you you weren't saying nothing, Oh now you want to 1062 01:02:46,160 --> 01:02:51,480 Speaker 1: make it okay? All right, woke warriors suddenly right, right? Yeah, 1063 01:02:51,640 --> 01:02:53,400 Speaker 1: I mean that's yeah, that's the that's the hardest ship. 1064 01:02:53,440 --> 01:02:56,479 Speaker 1: Even like when you look at like in like real estate, 1065 01:02:56,560 --> 01:02:59,000 Speaker 1: trying people to being like yo, can't say master bedroom, 1066 01:03:00,040 --> 01:03:02,640 Speaker 1: mean say primary, right, I mean you gotta get rid 1067 01:03:02,680 --> 01:03:06,200 Speaker 1: of this like master slave, you know, sucking binary or 1068 01:03:06,440 --> 01:03:09,920 Speaker 1: relationship even just like oh the master bedroom. You know, 1069 01:03:09,960 --> 01:03:12,440 Speaker 1: it's just the a lot of things. It's funny too, 1070 01:03:12,440 --> 01:03:14,680 Speaker 1: because there's a lot of people who will have you see, 1071 01:03:14,720 --> 01:03:17,200 Speaker 1: like these topics come up where they're like, well that's 1072 01:03:17,200 --> 01:03:18,840 Speaker 1: what it doesn't matter, it's not what I'm not saying. 1073 01:03:18,840 --> 01:03:22,200 Speaker 1: It's I'm a slave master. Like I'm not saying I'm 1074 01:03:22,240 --> 01:03:24,800 Speaker 1: against indigenous people, but it's like, but yeah, that's where 1075 01:03:24,800 --> 01:03:28,240 Speaker 1: you have to say, you won't die right. If you 1076 01:03:28,320 --> 01:03:32,000 Speaker 1: can change the way you speak, right, you won't die right, 1077 01:03:32,000 --> 01:03:34,360 Speaker 1: because that would be a concern if you died because 1078 01:03:34,400 --> 01:03:37,160 Speaker 1: you could no longer say master bedroom. Then maybe we 1079 01:03:37,200 --> 01:03:39,040 Speaker 1: could have a little conversation here. But if it's just 1080 01:03:39,080 --> 01:03:42,800 Speaker 1: purely about changing, you know, thinking for two seconds before 1081 01:03:42,840 --> 01:03:44,840 Speaker 1: you speak, then just that's what we owe it to 1082 01:03:44,920 --> 01:03:48,040 Speaker 1: each other. That's how we how we start building the 1083 01:03:48,080 --> 01:03:51,200 Speaker 1: blocks to something that feels a little more equitable. Yeah, 1084 01:03:51,360 --> 01:03:52,959 Speaker 1: I think that. Yeah. Part of that is I think 1085 01:03:53,520 --> 01:03:55,760 Speaker 1: when at least in my experience, we're talking like family 1086 01:03:55,800 --> 01:03:59,880 Speaker 1: and stuff about that, people like assume like once you 1087 01:04:00,040 --> 01:04:02,760 Speaker 1: and stuff up, they like they like get defensive in 1088 01:04:02,760 --> 01:04:05,680 Speaker 1: a weird way because they assume like you're like complying 1089 01:04:05,760 --> 01:04:08,320 Speaker 1: that they're like some you know, racist monster, and they 1090 01:04:08,360 --> 01:04:11,400 Speaker 1: feel like like like it's it's weird. It's like it 1091 01:04:11,640 --> 01:04:14,440 Speaker 1: basically it's because it plays into like the whole white 1092 01:04:14,480 --> 01:04:17,640 Speaker 1: fragility thing, which I feel like sometimes is people the 1093 01:04:17,640 --> 01:04:20,680 Speaker 1: way people talking about it's usually kind of not always helpful. Actually, 1094 01:04:21,040 --> 01:04:23,520 Speaker 1: but there is actually for in this instance, Yeah, that's that. 1095 01:04:23,640 --> 01:04:27,280 Speaker 1: That's that's that's that's very much. Um. What that kind 1096 01:04:27,320 --> 01:04:29,160 Speaker 1: of is is that you're being asked to do this 1097 01:04:29,240 --> 01:04:32,000 Speaker 1: thing that you felt was like this, You felt this 1098 01:04:32,120 --> 01:04:33,600 Speaker 1: was just so normal and regular. Need you put no 1099 01:04:33,640 --> 01:04:36,760 Speaker 1: thought into it, And now looking back, you're like scared 1100 01:04:36,800 --> 01:04:40,760 Speaker 1: to be um like accused or like it's scared to 1101 01:04:40,760 --> 01:04:44,800 Speaker 1: be like implied to have you know, not so great views, 1102 01:04:44,920 --> 01:04:46,880 Speaker 1: and you want to and you want so you push 1103 01:04:46,880 --> 01:04:49,040 Speaker 1: back on that. You It has almost like a backfire 1104 01:04:49,040 --> 01:04:52,480 Speaker 1: effect where like they want to prove so much so 1105 01:04:52,560 --> 01:04:55,120 Speaker 1: they have to like convince themselves that no, it's actually 1106 01:04:55,120 --> 01:04:56,960 Speaker 1: fine to say this thing because it doesn't actually mean 1107 01:04:57,000 --> 01:05:00,000 Speaker 1: anything that it gets turned into this and I almost 1108 01:05:00,040 --> 01:05:03,520 Speaker 1: want to just take people like it's okay, that's okay, 1109 01:05:03,560 --> 01:05:05,920 Speaker 1: that's okay, that's all right. I know I know this feels. 1110 01:05:05,960 --> 01:05:07,600 Speaker 1: I know you feel like you're being attacked right now 1111 01:05:07,600 --> 01:05:10,360 Speaker 1: because I said you shouldn't say master bedroom and it 1112 01:05:10,400 --> 01:05:13,439 Speaker 1: seems so innocuous. But I'm telling you the reason why 1113 01:05:13,880 --> 01:05:17,240 Speaker 1: is because it's it's evoking slavery. Okay, we don't want 1114 01:05:17,240 --> 01:05:20,240 Speaker 1: to do you agree, slaveries wrong right, Yes, Okay, I'm 1115 01:05:20,240 --> 01:05:22,160 Speaker 1: not mad that you said that. Baby. That's this, This 1116 01:05:22,240 --> 01:05:25,280 Speaker 1: is how we learn. Somebody has to tell you. And 1117 01:05:25,280 --> 01:05:26,800 Speaker 1: then what you do is you say, okay, let me 1118 01:05:26,840 --> 01:05:28,320 Speaker 1: hear you, let me hear, let me get some knowledge, 1119 01:05:28,680 --> 01:05:32,000 Speaker 1: let me process that. Okay, I do agree slavery bad. 1120 01:05:32,520 --> 01:05:34,920 Speaker 1: I do agree that. I don't want to offend people, 1121 01:05:35,000 --> 01:05:38,640 Speaker 1: certainly not any black people I'm around, especially by being 1122 01:05:38,680 --> 01:05:41,400 Speaker 1: careless with saying things like this. Okay, So since I 1123 01:05:41,440 --> 01:05:45,160 Speaker 1: do agree with those things, now the ask is just 1124 01:05:45,160 --> 01:05:47,720 Speaker 1: just change, just change the vocab a little bit. Yeah, 1125 01:05:47,800 --> 01:05:50,440 Speaker 1: that's all. Nobody's even smash you up, I know if 1126 01:05:50,520 --> 01:05:52,120 Speaker 1: And I think that's the thing is we always I 1127 01:05:52,160 --> 01:05:55,200 Speaker 1: think that's just how are how we work as people. Though, 1128 01:05:55,600 --> 01:05:58,680 Speaker 1: like we have as human beings, we have the greatest 1129 01:05:58,720 --> 01:06:02,920 Speaker 1: capacity to over blow a potential scenario in our minds. 1130 01:06:03,360 --> 01:06:05,400 Speaker 1: Were like you go, oh, this ship is gonna happen, 1131 01:06:05,400 --> 01:06:07,080 Speaker 1: and that's gonna lead to this, and this is gonna happen, 1132 01:06:07,080 --> 01:06:08,720 Speaker 1: and I'm going outside, people gonna scream at me and 1133 01:06:08,720 --> 01:06:11,040 Speaker 1: throw garbage at me. You know, like we all, we 1134 01:06:11,080 --> 01:06:13,240 Speaker 1: all have versions of blowing things out of proportion or 1135 01:06:13,600 --> 01:06:16,240 Speaker 1: making them a lot scarier before we get or actually 1136 01:06:16,600 --> 01:06:20,640 Speaker 1: enter the confrontation, the interaction, whatever the event, and it's 1137 01:06:20,680 --> 01:06:23,720 Speaker 1: always not as bad as we think. It's never as 1138 01:06:23,720 --> 01:06:25,520 Speaker 1: bad as we think. And I think that's part of 1139 01:06:25,520 --> 01:06:28,600 Speaker 1: the thing is a lot of we get Wow, I'm sorry, 1140 01:06:28,640 --> 01:06:31,680 Speaker 1: I'm not trying to say ablest language. I'm not. This 1141 01:06:31,760 --> 01:06:33,520 Speaker 1: is not how I think. But then you have to 1142 01:06:33,560 --> 01:06:35,360 Speaker 1: calm down and saying be like, right, I I gotta 1143 01:06:35,400 --> 01:06:37,480 Speaker 1: do is just check a couple of ways I'm describing 1144 01:06:37,520 --> 01:06:40,560 Speaker 1: things or how I was just lazily expressing something. And 1145 01:06:40,600 --> 01:06:43,360 Speaker 1: in fact, it's forced, it forces you to actually be 1146 01:06:43,400 --> 01:06:45,320 Speaker 1: a little more creative with how you speak. Like in 1147 01:06:45,320 --> 01:06:47,760 Speaker 1: a way, it's like kind of you can, you will, 1148 01:06:47,800 --> 01:06:51,040 Speaker 1: you will evolve for the better, and you're you're gaining 1149 01:06:51,040 --> 01:06:53,400 Speaker 1: more compassion, You're getting more you're being able to implaus 1150 01:06:53,440 --> 01:06:56,120 Speaker 1: with other people's experiences. But I'm not racist, but I'm 1151 01:06:56,120 --> 01:06:59,600 Speaker 1: not racist, Like Okay, well it's okay, yeah, that's not 1152 01:06:59,720 --> 01:07:01,560 Speaker 1: that's not it. That's not what we're saying. Just can 1153 01:07:01,720 --> 01:07:05,320 Speaker 1: but can you move forward? That's all compassion for yourself. 1154 01:07:05,480 --> 01:07:08,240 Speaker 1: Like a lot of people fucked up. A lot of 1155 01:07:08,240 --> 01:07:10,440 Speaker 1: people funked up in the same way it's not. You 1156 01:07:10,480 --> 01:07:13,400 Speaker 1: don't have to freak out and assume that that makes 1157 01:07:13,400 --> 01:07:16,320 Speaker 1: you a worse person. And all of us will continue 1158 01:07:16,360 --> 01:07:19,600 Speaker 1: to funk up as people, not just with how we 1159 01:07:19,680 --> 01:07:22,200 Speaker 1: use languagees even in our lives, how we interact with 1160 01:07:22,240 --> 01:07:24,280 Speaker 1: our loved ones and everything like we will We're not 1161 01:07:24,400 --> 01:07:27,080 Speaker 1: fucking perfect, but overall, like even in those moments, you 1162 01:07:27,120 --> 01:07:28,840 Speaker 1: really have to be able to be kind enough to 1163 01:07:28,880 --> 01:07:31,280 Speaker 1: yourself to say, it's like be your own. You know, 1164 01:07:31,280 --> 01:07:33,600 Speaker 1: if you have that grandparent you had a good relationship with, like, 1165 01:07:33,640 --> 01:07:36,240 Speaker 1: it's okay, baby, don't worry. Don't worry, It's gonna be okay. 1166 01:07:36,280 --> 01:07:38,360 Speaker 1: It's gonna be okay. That's you gotta tell yourself even 1167 01:07:38,360 --> 01:07:39,800 Speaker 1: if when it feels bad, it's it's not going to 1168 01:07:39,880 --> 01:07:44,680 Speaker 1: be that bad. Mhm uh, well, Garrison, it has been 1169 01:07:45,400 --> 01:07:48,600 Speaker 1: a pleasure having you on the daily zycas man. Where 1170 01:07:48,640 --> 01:07:52,120 Speaker 1: can people uh find you and follow you? Um? I 1171 01:07:52,120 --> 01:07:55,600 Speaker 1: guess mainly would be probably on twitters, where I do 1172 01:07:55,840 --> 01:07:59,240 Speaker 1: some work of various kind of extremist reporting. Um with 1173 01:07:59,360 --> 01:08:02,000 Speaker 1: also written a few things, helped written a few things 1174 01:08:02,000 --> 01:08:05,840 Speaker 1: for um. Belling cat Is was an online investigative website. 1175 01:08:06,240 --> 01:08:09,440 Speaker 1: But but but um on Twitter I'm at at hungry 1176 01:08:09,480 --> 01:08:13,840 Speaker 1: bow tie. Um. You can also check out a podcast 1177 01:08:14,320 --> 01:08:19,360 Speaker 1: that I helped make called Uprising a guide from portland' um. 1178 01:08:19,400 --> 01:08:22,599 Speaker 1: I worked on with some other really great people, including 1179 01:08:22,800 --> 01:08:26,040 Speaker 1: Robert Evans from Behind the Bastards um. And then I 1180 01:08:26,080 --> 01:08:28,360 Speaker 1: guess also I have a few I've written and hosted 1181 01:08:28,360 --> 01:08:31,479 Speaker 1: a few episodes of Behind the Bastards YUM. So yeah, 1182 01:08:31,560 --> 01:08:34,160 Speaker 1: you can check check those out on wherever wherever you 1183 01:08:34,160 --> 01:08:37,120 Speaker 1: get your wherever you get your podcasts. What was the 1184 01:08:37,200 --> 01:08:39,240 Speaker 1: what was the third wave one called? It was like 1185 01:08:39,400 --> 01:08:43,720 Speaker 1: something about it was like the class that made two 1186 01:08:43,800 --> 01:08:48,640 Speaker 1: hundred child Nazis. Yeah, yeah, people, that's if yeah, if 1187 01:08:48,640 --> 01:08:51,600 Speaker 1: you want, if you want to learn how uh a 1188 01:08:51,680 --> 01:08:55,320 Speaker 1: school teacher accidentally made two hundred Nazi children over the 1189 01:08:55,360 --> 01:08:58,400 Speaker 1: course of five days. UM, check out check out the 1190 01:08:58,520 --> 01:09:00,880 Speaker 1: Behind the Bastard's feed. So what he needs to option 1191 01:09:00,920 --> 01:09:03,280 Speaker 1: that episode? Turn it into a movie because I know 1192 01:09:03,320 --> 01:09:05,240 Speaker 1: they've tried to make movies out of it, but they've 1193 01:09:05,280 --> 01:09:08,360 Speaker 1: all fucked up, every single one of them, and that 1194 01:09:08,360 --> 01:09:11,599 Speaker 1: that lays out a really good, like kind of story. 1195 01:09:12,240 --> 01:09:15,120 Speaker 1: They made like a bad TV movie in the eighties, 1196 01:09:15,560 --> 01:09:19,240 Speaker 1: and then they made they made a German film about 1197 01:09:19,280 --> 01:09:22,439 Speaker 1: about a decade ago. That's actually not terrible. But Americans 1198 01:09:22,439 --> 01:09:26,439 Speaker 1: are going to watch a German film, right, so it's yeah, 1199 01:09:26,640 --> 01:09:28,680 Speaker 1: very very well. We could get turned into a good 1200 01:09:28,720 --> 01:09:32,160 Speaker 1: movie if people knew how to make it. Um. Yeah, 1201 01:09:32,560 --> 01:09:35,479 Speaker 1: is there a tweet or some other work of social 1202 01:09:35,520 --> 01:09:39,559 Speaker 1: media you've been enjoying? Um? I did see a tweet 1203 01:09:39,960 --> 01:09:43,080 Speaker 1: a few days ago that was a screenshot of a 1204 01:09:43,200 --> 01:09:46,600 Speaker 1: review of Princess Mononoke. Um that was pretty that was 1205 01:09:46,640 --> 01:09:49,760 Speaker 1: that was pretty good? Um it says um if I 1206 01:09:49,800 --> 01:09:51,880 Speaker 1: met a girl who was raised by wolves and hated me, 1207 01:09:52,240 --> 01:09:53,920 Speaker 1: I would also do a bunch of stupid ship to 1208 01:09:53,920 --> 01:09:56,599 Speaker 1: impress her, which I feel is pretty it's pretty good. 1209 01:09:58,160 --> 01:10:00,560 Speaker 1: I would. I wouldn't I would. Yeah, I would do 1210 01:10:00,560 --> 01:10:03,360 Speaker 1: a lot of things to impress wolf girls or wolf 1211 01:10:03,400 --> 01:10:07,559 Speaker 1: boys or wolf people. Yeah. I mean that's a yeah, 1212 01:10:07,600 --> 01:10:09,280 Speaker 1: that's that's one of those things, like I don't know 1213 01:10:09,320 --> 01:10:13,840 Speaker 1: how I'm going to get on their radar, right I do. 1214 01:10:14,400 --> 01:10:16,240 Speaker 1: I'm just trying to spend more time in the forest. 1215 01:10:16,439 --> 01:10:19,040 Speaker 1: That's that's been my kind of goal one, is just 1216 01:10:19,479 --> 01:10:22,599 Speaker 1: trying to spend more time being the forest in Oregon, 1217 01:10:22,960 --> 01:10:29,519 Speaker 1: just because it's it's just much healthier for my mental state. Yeah, 1218 01:10:29,520 --> 01:10:34,160 Speaker 1: it's goods up there. Oh yeah. Top five Forest uh, 1219 01:10:34,320 --> 01:10:37,320 Speaker 1: top five Forest Jack go oh man, not l a, 1220 01:10:37,360 --> 01:10:38,920 Speaker 1: I'll tell you that much. There's a lot of scrub 1221 01:10:38,920 --> 01:10:42,760 Speaker 1: brush out here, man. Yeah, and the scrub brush ain't 1222 01:10:42,760 --> 01:10:47,760 Speaker 1: bad either. Hey, Miles, where can people find you? What 1223 01:10:47,920 --> 01:10:50,800 Speaker 1: tweet you've been enjoying? Oh? My god? Twitter, Instagram at 1224 01:10:50,800 --> 01:10:54,439 Speaker 1: Miles of Gray. Also the other podcast for twenty fiance. Uh, 1225 01:10:54,600 --> 01:10:57,439 Speaker 1: we're talking about I need a fiance tweet. I like 1226 01:10:57,600 --> 01:11:00,280 Speaker 1: this one. Shout out to Noah Goddard who tagged said 1227 01:11:00,320 --> 01:11:02,840 Speaker 1: I thought you would find this funny, and in fact, 1228 01:11:02,920 --> 01:11:05,280 Speaker 1: Noah I did. Thank you because I'm not really on 1229 01:11:05,320 --> 01:11:07,680 Speaker 1: the Twitter too much again for mental health reasons, so 1230 01:11:07,760 --> 01:11:10,760 Speaker 1: I can continue to bring you all the laughs every day. Uh. 1231 01:11:10,800 --> 01:11:15,000 Speaker 1: This is from at Merman Underscore Melville Heinz Baked Jeans 1232 01:11:15,320 --> 01:11:17,640 Speaker 1: and the tweet. Is kind of a bummer to have 1233 01:11:17,720 --> 01:11:20,240 Speaker 1: been born at the very end of the funk around century, 1234 01:11:20,320 --> 01:11:21,800 Speaker 1: just to live the rest of my life in the 1235 01:11:22,000 --> 01:11:28,240 Speaker 1: find Out Welcome to the find Out Century. Yeah, um, hey, 1236 01:11:28,280 --> 01:11:30,400 Speaker 1: at least we got to live a little bit in 1237 01:11:30,439 --> 01:11:32,360 Speaker 1: the fun around century. You know, I grew up in 1238 01:11:32,400 --> 01:11:37,200 Speaker 1: the around century so yeah, a little good for you guys. Yeah, 1239 01:11:37,479 --> 01:11:39,040 Speaker 1: I was funny. I'm like, I was just saying about 1240 01:11:39,920 --> 01:11:43,120 Speaker 1: pica where pek awareness and not during nine eleven. Right, 1241 01:11:44,560 --> 01:11:46,840 Speaker 1: I was not born yet shout out to you, though 1242 01:11:47,040 --> 01:11:49,120 Speaker 1: I was. I was thinking about you even then. That's 1243 01:11:49,160 --> 01:11:54,479 Speaker 1: good some tweets I've been enjoying at the baddest Mitch tweeted, 1244 01:11:54,520 --> 01:11:57,599 Speaker 1: the person who invented the baby pacifier must have been 1245 01:11:57,880 --> 01:12:03,080 Speaker 1: at wit and just like the idea of like just 1246 01:12:03,120 --> 01:12:06,599 Speaker 1: being like just stick that ship in their mouth up? 1247 01:12:08,800 --> 01:12:16,360 Speaker 1: Fine this right and uh Luisa Luisa k I tweeted, 1248 01:12:16,400 --> 01:12:18,639 Speaker 1: would be a huge power move for Kanye to wheel 1249 01:12:18,680 --> 01:12:23,320 Speaker 1: out the Robert Kardashian hologram as his divorce lawyer. And 1250 01:12:23,439 --> 01:12:25,600 Speaker 1: you can find me on Twitter, Jack Underscore O'Brien. You 1251 01:12:25,600 --> 01:12:27,880 Speaker 1: can find us on Twitter at daily Zekeeys, right at 1252 01:12:27,920 --> 01:12:30,800 Speaker 1: the Daily Zeitgeist, on Instagram, with Facebook fan page, on 1253 01:12:30,840 --> 01:12:34,640 Speaker 1: a website Daily zeitgeist dot com. We post our episodes 1254 01:12:34,800 --> 01:12:38,439 Speaker 1: on our footnotes. We link off to the information that 1255 01:12:38,479 --> 01:12:41,479 Speaker 1: we talked about, as well as a song that Miles 1256 01:12:41,720 --> 01:12:46,120 Speaker 1: recommends you listen to. Mom, what is two days record 1257 01:12:46,960 --> 01:12:50,000 Speaker 1: we're talking about? We're talking about instrumental music. Now this 1258 01:12:50,120 --> 01:12:52,280 Speaker 1: is a little bit different than what Garrison is talking about. Like, 1259 01:12:52,320 --> 01:12:56,599 Speaker 1: I know, there's just solid instrumental music, fantastic instrumental music. 1260 01:12:56,640 --> 01:12:59,880 Speaker 1: Producers will go out their minds making beats and one 1261 01:13:00,080 --> 01:13:03,240 Speaker 1: full compositions with real instruments. But there's also this thing 1262 01:13:03,240 --> 01:13:05,559 Speaker 1: in Japan and it's it's like it's all over. But 1263 01:13:05,600 --> 01:13:08,320 Speaker 1: in Japanese there's a genre we call b g M 1264 01:13:08,680 --> 01:13:13,320 Speaker 1: background music, okay, and it's just ship that plays that 1265 01:13:13,479 --> 01:13:15,880 Speaker 1: is it's not it's not really meant to get too 1266 01:13:15,960 --> 01:13:17,960 Speaker 1: much of your attention. It's just there to be a 1267 01:13:18,080 --> 01:13:20,920 Speaker 1: fucking like a wallpapers, you know what I mean. So 1268 01:13:21,080 --> 01:13:23,120 Speaker 1: I listened to a couple of different playlists, like one's 1269 01:13:23,160 --> 01:13:25,439 Speaker 1: just like a Coffee Lounge and it's just a little piano, 1270 01:13:25,560 --> 01:13:29,360 Speaker 1: little samba, little three piece thing. And the tracks are nice, 1271 01:13:29,560 --> 01:13:32,160 Speaker 1: they're easy, they don't distract. And if you have like 1272 01:13:32,160 --> 01:13:34,160 Speaker 1: a little speak or something, play that ship all day 1273 01:13:34,240 --> 01:13:36,160 Speaker 1: and you I'm telling you, it will raise your mood. 1274 01:13:36,400 --> 01:13:40,719 Speaker 1: So this is a track from the album Coffee Lounge 1275 01:13:41,280 --> 01:13:46,759 Speaker 1: from the artist Cafe Music b g M channel on Spotify. 1276 01:13:46,880 --> 01:13:51,120 Speaker 1: And this track is called wild Steam okay, And this 1277 01:13:51,200 --> 01:13:53,920 Speaker 1: is just some straight b g M background music. Like 1278 01:13:53,920 --> 01:13:55,800 Speaker 1: back in the day in Japanese hotel rooms, they used 1279 01:13:55,800 --> 01:13:58,160 Speaker 1: to have like built in radios in the night stands 1280 01:13:58,160 --> 01:14:00,400 Speaker 1: that were between like a twin bed type room, and 1281 01:14:00,479 --> 01:14:01,960 Speaker 1: it will be a button or a knob that's at 1282 01:14:01,960 --> 01:14:04,720 Speaker 1: b GM or you could just literally crank up your 1283 01:14:04,760 --> 01:14:07,080 Speaker 1: B g M up or down just for the vibes. 1284 01:14:07,120 --> 01:14:09,000 Speaker 1: And it was never really like good music. It was 1285 01:14:09,040 --> 01:14:12,720 Speaker 1: just vibes, you know, and not like reggae vibes, like 1286 01:14:12,840 --> 01:14:15,439 Speaker 1: straight up piano jazz vibes. But I love it. That's 1287 01:14:15,439 --> 01:14:18,519 Speaker 1: what I check this one out. Yeah, all right, we 1288 01:14:18,600 --> 01:14:21,040 Speaker 1: suggest you go check that out. The Daily Zika is 1289 01:14:21,080 --> 01:14:23,160 Speaker 1: a production of by Heart Radio. For more podcasts for 1290 01:14:23,240 --> 01:14:26,320 Speaker 1: my Heart Radio, visit the I Heart Radio app, Apple podcast, 1291 01:14:26,400 --> 01:14:28,920 Speaker 1: or wherever you listen to your favorite shows. That is 1292 01:14:28,920 --> 01:14:30,679 Speaker 1: going to do it for this morning. We are back 1293 01:14:30,760 --> 01:14:33,240 Speaker 1: this afternoon to tell you what's trending and we'll talk 1294 01:14:33,280 --> 01:14:35,920 Speaker 1: to you all the bye bye bye