1 00:00:00,120 --> 00:00:03,240 Speaker 1: Hello the Internet, and welcome to season two oh eight, 2 00:00:03,240 --> 00:00:07,720 Speaker 1: Episode one of Guy, the production of I Heart Radio. 3 00:00:08,320 --> 00:00:10,240 Speaker 1: This is a podcast where take a deep dive into 4 00:00:10,280 --> 00:00:16,440 Speaker 1: America's share consciousness. And it is Monday, November one. We 5 00:00:16,480 --> 00:00:19,239 Speaker 1: made it. People said we'd never make it to November 6 00:00:19,960 --> 00:00:22,400 Speaker 1: one is a podcast, but we're here. We're here to 7 00:00:22,560 --> 00:00:28,000 Speaker 1: observe National Cow Zone Day, National Cinnamon Day, Vegan Day, 8 00:00:28,240 --> 00:00:35,760 Speaker 1: Cook for your Pets Day Day, snuck in there under 9 00:00:35,800 --> 00:00:38,680 Speaker 1: the wire. Yeah, I mean, after all that sugar that 10 00:00:38,960 --> 00:00:44,199 Speaker 1: we've been eating from Halloween. You love vinegar to bounce 11 00:00:44,280 --> 00:00:49,520 Speaker 1: things out, isn't Halloween is like all Hallow's Eve, So 12 00:00:49,800 --> 00:00:54,400 Speaker 1: it's really like the day before we have the official holiday, 13 00:00:54,440 --> 00:00:57,680 Speaker 1: which is of course National cow Zone Day. Of course, yes, yes, yes, 14 00:00:57,840 --> 00:01:00,560 Speaker 1: that is all Saints Day or thing. I don't know. 15 00:01:00,600 --> 00:01:02,320 Speaker 1: I don't know what that means. I used to get 16 00:01:02,400 --> 00:01:04,679 Speaker 1: stoked though, because I would say Catholic high school and 17 00:01:04,760 --> 00:01:08,960 Speaker 1: sometimes you get that day off, really get sucked up 18 00:01:08,959 --> 00:01:14,680 Speaker 1: on Halloween in high school. Well, my name is Jack 19 00:01:14,720 --> 00:01:21,840 Speaker 1: O'Brien aka. Somebody once told me they're voting for Mitt Romney. 20 00:01:22,000 --> 00:01:26,679 Speaker 1: He said, how the neighbor I am ted will? He 21 00:01:26,840 --> 00:01:31,199 Speaker 1: seemed all nice and fun and his mustache was real dumb. 22 00:01:31,280 --> 00:01:35,960 Speaker 1: I just knew that that asshole votes all read that 23 00:01:36,080 --> 00:01:39,240 Speaker 1: is courtesy a Christie. I'm a Gucci mane talking about 24 00:01:39,240 --> 00:01:42,759 Speaker 1: how Ted Lasso clearly a Republican. Come on, y'all, let's 25 00:01:42,760 --> 00:01:46,360 Speaker 1: be real, he's a Lasso truther and I'm thrilled to 26 00:01:46,360 --> 00:01:49,760 Speaker 1: be joined as always buy my co host Mr Miles 27 00:01:49,880 --> 00:01:54,160 Speaker 1: grag Yes, Jack, your Pringles take seems to have offended 28 00:01:54,160 --> 00:01:56,240 Speaker 1: a few people that they turned to much so and 29 00:01:56,320 --> 00:01:58,120 Speaker 1: on ear of that, I just want to sing this 30 00:01:58,480 --> 00:02:02,760 Speaker 1: track to you. They say, there is a sacred phrase 31 00:02:03,280 --> 00:02:07,760 Speaker 1: once coveted by friedo Ley. But you don't really care 32 00:02:07,920 --> 00:02:12,800 Speaker 1: for pringles, do you. It goes like this from bottom 33 00:02:12,840 --> 00:02:16,720 Speaker 1: to top. Once you pop, you just can't stop a 34 00:02:16,760 --> 00:02:24,440 Speaker 1: communion way for sexy salty cousin. That's not true, Jack. 35 00:02:24,880 --> 00:02:30,079 Speaker 1: They don't turn to goog Jack. They'll crunch to Jack. 36 00:02:30,520 --> 00:02:35,000 Speaker 1: They'll still crunch to Okay, thank you so much to 37 00:02:35,600 --> 00:02:40,000 Speaker 1: Marky Mark Aurelius on the discord, like that little gladiator 38 00:02:40,040 --> 00:02:43,519 Speaker 1: reference historical reference. But yes, they don't turn to good 39 00:02:43,600 --> 00:02:46,400 Speaker 1: Jack is what people seem to think. I do say this. 40 00:02:46,800 --> 00:02:49,280 Speaker 1: They're they're not all chips, so they do something funky 41 00:02:49,280 --> 00:02:52,960 Speaker 1: in there. I mean they've been specifically sued in the 42 00:02:53,080 --> 00:02:56,920 Speaker 1: UK for being a crisp, a potato crisp that is 43 00:02:57,000 --> 00:03:02,280 Speaker 1: not like I think it's potato. So it's not just 44 00:03:02,360 --> 00:03:04,800 Speaker 1: me saying that. I'm also not saying that they're not 45 00:03:04,880 --> 00:03:07,400 Speaker 1: French yet. First, I'm just saying that they are made 46 00:03:07,520 --> 00:03:10,800 Speaker 1: from a slurry. But yeah, comparing them to communion wafers 47 00:03:10,919 --> 00:03:14,360 Speaker 1: not quite fair that the food that is best compared 48 00:03:14,360 --> 00:03:18,880 Speaker 1: to communion wafers are those uh cream cones. Oh like 49 00:03:18,960 --> 00:03:22,600 Speaker 1: sugar sugar, the sugar ice cream cones, which are not sweet. 50 00:03:22,760 --> 00:03:26,560 Speaker 1: They're just made of communion wafer. For some reason, I 51 00:03:26,600 --> 00:03:29,720 Speaker 1: feel like they are from an era before we figured 52 00:03:29,720 --> 00:03:32,200 Speaker 1: out how to You know, if and if I were 53 00:03:32,240 --> 00:03:35,160 Speaker 1: to ever believe in Christianity or follow Christianity, I would 54 00:03:35,280 --> 00:03:38,280 Speaker 1: hope that the savior, Jesus Christ would want his body 55 00:03:38,320 --> 00:03:41,400 Speaker 1: to have a little more seasoning than that if you're 56 00:03:41,680 --> 00:03:44,400 Speaker 1: accept the Eucharist. But yeah, that's neither here nor there. 57 00:03:44,720 --> 00:03:48,040 Speaker 1: I do just sprinkle a little barbecue seasoning on it, 58 00:03:48,120 --> 00:03:51,560 Speaker 1: like the barbecue potato. The Friests like, give me the 59 00:03:52,240 --> 00:03:57,000 Speaker 1: one second little the cheeto dust. I think you can 60 00:03:57,040 --> 00:04:04,400 Speaker 1: buy Sweet h Mark. Mr Mark Zuckerberg big fans. Not 61 00:04:04,640 --> 00:04:06,360 Speaker 1: We're not big fans of his. He's a big fan 62 00:04:06,400 --> 00:04:10,680 Speaker 1: of Sweet Baby Raise. Anyways, Miles, we are thrilled to 63 00:04:10,800 --> 00:04:13,440 Speaker 1: be joined in our third seat by another one of 64 00:04:13,480 --> 00:04:17,200 Speaker 1: these first rate guests on our second rate podcast. She 65 00:04:17,240 --> 00:04:20,640 Speaker 1: has a radio and podcast producer, writer, editor, journalist, and 66 00:04:20,800 --> 00:04:24,960 Speaker 1: filmmaker who has worked for p R I, K, C, RW, 67 00:04:25,560 --> 00:04:29,839 Speaker 1: Audible as well as Israel's Wilder News. Her reporting and 68 00:04:29,880 --> 00:04:33,160 Speaker 1: commentary has appeared in The Washington Post, Might Have Heard 69 00:04:33,200 --> 00:04:37,320 Speaker 1: Of That, BBC World Service, Vice, and the South African 70 00:04:37,440 --> 00:04:41,800 Speaker 1: Daily Maverick, among many others, and her documentary film Swing 71 00:04:41,839 --> 00:04:45,400 Speaker 1: Country recently premiered at the Wisconsin Film Festival. She's also 72 00:04:45,640 --> 00:04:50,360 Speaker 1: a twenty seventeen Jaws Emerging Journalist Fellow, which I'm assuming 73 00:04:50,400 --> 00:04:53,799 Speaker 1: means she broke some stories about the Amityville mayor refusing 74 00:04:53,839 --> 00:04:57,479 Speaker 1: to close the beaches during a string of brutal shark attacks. 75 00:04:58,040 --> 00:05:04,560 Speaker 1: Please welcome the brilliant and talented Yeah even oh I 76 00:05:05,400 --> 00:05:11,159 Speaker 1: we intro Hey. It's it's nice that we have to 77 00:05:11,240 --> 00:05:13,960 Speaker 1: let people know sometimes on this sad little show we 78 00:05:14,000 --> 00:05:17,960 Speaker 1: have accomplished. Distinguished guests Song so thank you so much 79 00:05:17,960 --> 00:05:21,080 Speaker 1: for coming by. Oh yeah, thank you for inviting me. 80 00:05:21,400 --> 00:05:25,080 Speaker 1: Yeah yeah, I never had a communion wafer before, but 81 00:05:25,160 --> 00:05:30,520 Speaker 1: you made it sound really good. It's so flavorless, you know, 82 00:05:31,040 --> 00:05:33,960 Speaker 1: it's really I remember, you know, the first time I 83 00:05:34,000 --> 00:05:36,839 Speaker 1: pretended to like take communion, like you know, you have 84 00:05:36,880 --> 00:05:38,560 Speaker 1: to be confirmed usually, you know, like or you have 85 00:05:38,600 --> 00:05:41,400 Speaker 1: to have your first communion, yeah, because you all the 86 00:05:41,440 --> 00:05:43,680 Speaker 1: pressure when you're like in a religious school, they're like, 87 00:05:43,720 --> 00:05:45,840 Speaker 1: what you're not You're not like everybody else. I'm like 88 00:05:46,440 --> 00:05:49,040 Speaker 1: with my Asian mom and black dad, who was almost 89 00:05:49,080 --> 00:05:51,800 Speaker 1: like an atheist, I'm like, oh yeah, yeah, I love this. Yeah, 90 00:05:52,760 --> 00:05:56,200 Speaker 1: let me hit that way for a real cant stop. Yeah, exactly. 91 00:05:56,400 --> 00:05:59,279 Speaker 1: Your New York right, I am, Yeah, I'm in Brooklyn. 92 00:05:59,520 --> 00:06:02,040 Speaker 1: How's the other is it? Are we getting fall? New 93 00:06:02,120 --> 00:06:05,719 Speaker 1: York weather? Whether did you all get a storm too? Recently? 94 00:06:06,360 --> 00:06:08,480 Speaker 1: We got a storm a couple of days ago. I 95 00:06:08,520 --> 00:06:10,880 Speaker 1: think like because of that storm that no one was 96 00:06:10,920 --> 00:06:14,800 Speaker 1: prepared for with all the rain, now, like everyone was, 97 00:06:14,960 --> 00:06:17,680 Speaker 1: you know, very We were talking about it all day 98 00:06:17,720 --> 00:06:19,479 Speaker 1: and then I don't know, I went to sleep, and 99 00:06:19,520 --> 00:06:22,320 Speaker 1: I think it happened overnight, And honestly, I don't think 100 00:06:22,320 --> 00:06:25,159 Speaker 1: it did as you know, nearly any damage. So it 101 00:06:25,240 --> 00:06:29,919 Speaker 1: was fine. I'm enjoying. I'm enjoying the colder weather for 102 00:06:29,960 --> 00:06:31,600 Speaker 1: the next you know, for the next month or so. 103 00:06:31,680 --> 00:06:35,599 Speaker 1: Then it will be fully cold. Yeah, I remember this 104 00:06:35,680 --> 00:06:37,560 Speaker 1: in New York. I don't know if it's specific to 105 00:06:37,600 --> 00:06:40,120 Speaker 1: New York or it's just a you know, the most 106 00:06:40,120 --> 00:06:43,599 Speaker 1: recent place I lived that has weather. But like we 107 00:06:43,600 --> 00:06:46,200 Speaker 1: we had a really big almost like blizzard. They were 108 00:06:46,240 --> 00:06:48,719 Speaker 1: like over there was over a foot of snow in 109 00:06:48,760 --> 00:06:51,279 Speaker 1: the streets and it like all came down at once, 110 00:06:51,320 --> 00:06:53,960 Speaker 1: to the point that my wife was driving home from 111 00:06:54,000 --> 00:06:57,400 Speaker 1: the hospital and like her car got stuck in the 112 00:06:57,400 --> 00:07:00,000 Speaker 1: middle of the street, like just that's how much snow 113 00:07:00,160 --> 00:07:04,040 Speaker 1: was coming down, Like it just got stuck mid snowstorm, 114 00:07:04,120 --> 00:07:06,159 Speaker 1: and like I had to like shovel it out, but 115 00:07:06,240 --> 00:07:07,720 Speaker 1: it was like still in the middle of the street. 116 00:07:07,800 --> 00:07:10,880 Speaker 1: It got stuck like wild driving. But then the rest 117 00:07:11,000 --> 00:07:14,320 Speaker 1: of that winter, every time it was there was like 118 00:07:14,360 --> 00:07:17,400 Speaker 1: a one percent chance of snow, the local news would 119 00:07:17,440 --> 00:07:22,000 Speaker 1: be like blizzard coming. Everybody like nailed down everything, secure 120 00:07:22,040 --> 00:07:25,840 Speaker 1: your children, and then it was it was nothing. But 121 00:07:25,880 --> 00:07:28,160 Speaker 1: it was just like once there was a weather event 122 00:07:28,760 --> 00:07:34,080 Speaker 1: that was that's all they needed then it was Apoca blizzard. Yeah, 123 00:07:34,840 --> 00:07:41,600 Speaker 1: I would definitely take l a weather. Yeah, but I'm 124 00:07:41,640 --> 00:07:43,720 Speaker 1: so scared of like a situation like that because I 125 00:07:43,760 --> 00:07:45,800 Speaker 1: didn't grow up with snow at all, so I would 126 00:07:45,880 --> 00:07:48,520 Speaker 1: not know what to do pollution and might be doing 127 00:07:48,520 --> 00:07:52,000 Speaker 1: that work for you. You know, are actually less harsh. 128 00:07:52,360 --> 00:07:54,720 Speaker 1: I've seen the I've seen the projections. I think New 129 00:07:54,800 --> 00:07:57,360 Speaker 1: York is going to be a tropical climate by the 130 00:07:57,400 --> 00:08:01,320 Speaker 1: mid century. So, you know, it's like Exxon always says, 131 00:08:01,360 --> 00:08:03,400 Speaker 1: if you don't like the weather, just wait around a 132 00:08:03,480 --> 00:08:07,040 Speaker 1: hundred years and we will have completely changed it. Yeah, 133 00:08:07,320 --> 00:08:12,960 Speaker 1: you'll be allowed to see it. But yeah, alright, well, yeah, 134 00:08:13,240 --> 00:08:14,760 Speaker 1: we're going to get to know you a little bit 135 00:08:14,800 --> 00:08:17,000 Speaker 1: better in a moment. First, we are going to tell 136 00:08:17,120 --> 00:08:20,240 Speaker 1: our listeners a couple of the things that we're talking about. 137 00:08:20,680 --> 00:08:23,480 Speaker 1: We're going to talk about, I was a capacity for 138 00:08:23,640 --> 00:08:26,960 Speaker 1: empathy for people who don't believe in science. We're going 139 00:08:27,000 --> 00:08:29,840 Speaker 1: to talk about whether the Department of Justice is actually 140 00:08:29,880 --> 00:08:32,520 Speaker 1: going to do something about redlining. Please. We're gonna talk 141 00:08:32,559 --> 00:08:37,360 Speaker 1: about a billionaire and amateur architect who is designing prison 142 00:08:37,520 --> 00:08:44,160 Speaker 1: or dorms like prison, and we will of course talk 143 00:08:44,200 --> 00:08:47,439 Speaker 1: about the squid game, moral panic that is coming for 144 00:08:47,480 --> 00:08:50,880 Speaker 1: all of us, all of that plenty more, But first 145 00:08:51,160 --> 00:08:53,920 Speaker 1: we do like to ask our guest, Yeah, what is 146 00:08:54,040 --> 00:08:58,360 Speaker 1: something from your search history? Oh? So I moved a 147 00:08:58,360 --> 00:09:01,120 Speaker 1: couple of months ago to a new apartment and I realized, 148 00:09:01,400 --> 00:09:04,959 Speaker 1: like a week ago that my favorite spot for reading 149 00:09:05,240 --> 00:09:07,680 Speaker 1: is also the darkest spot in the living room. So 150 00:09:07,720 --> 00:09:11,600 Speaker 1: I realized I needed a lamp. And you know, I 151 00:09:11,600 --> 00:09:13,760 Speaker 1: don't know if it just happens to me because English 152 00:09:13,800 --> 00:09:15,600 Speaker 1: is my second language, or it's a common thing. But 153 00:09:15,679 --> 00:09:17,760 Speaker 1: do you know when you have like a product in mind, 154 00:09:17,880 --> 00:09:19,720 Speaker 1: like you know how it looks like, but you don't 155 00:09:19,720 --> 00:09:22,640 Speaker 1: know how it's called. I mean, besides the obvious lamp, 156 00:09:22,640 --> 00:09:25,400 Speaker 1: But I have this thing in my mind that it's 157 00:09:25,440 --> 00:09:28,560 Speaker 1: like hanging on the shelf and it's like I can 158 00:09:28,559 --> 00:09:31,440 Speaker 1: still directed to me even though the shelf is on 159 00:09:31,520 --> 00:09:37,480 Speaker 1: my side, and anyway I have Okay, So I probably 160 00:09:37,480 --> 00:09:40,560 Speaker 1: had like dozens or hundreds of Google search as just 161 00:09:40,600 --> 00:09:44,400 Speaker 1: trying to kind of refine that lamp I was looking for. 162 00:09:45,240 --> 00:09:50,520 Speaker 1: Eventually I settled on something like clip on light with 163 00:09:50,559 --> 00:09:55,959 Speaker 1: adjustable neck, flexible neck. Yeah, you see, you got it. 164 00:09:56,920 --> 00:10:00,160 Speaker 1: I went through like three sixty I went through like 165 00:10:01,320 --> 00:10:03,840 Speaker 1: there was another word I don't know, like bookshelf attaching 166 00:10:03,880 --> 00:10:07,000 Speaker 1: to bookshelf I also like to keep, and a lot 167 00:10:07,040 --> 00:10:09,640 Speaker 1: of it like they sell. The clip on is kind 168 00:10:09,679 --> 00:10:12,319 Speaker 1: of the same side that the lamp is angle towards, 169 00:10:12,320 --> 00:10:15,679 Speaker 1: and I actually need them to be opposite sides because 170 00:10:15,720 --> 00:10:17,640 Speaker 1: the shelf is near me, so it's not like a desk, 171 00:10:17,720 --> 00:10:20,600 Speaker 1: you know, when you need try to google all these 172 00:10:20,640 --> 00:10:24,800 Speaker 1: like goes both sides, like career searches like that. And 173 00:10:25,120 --> 00:10:29,480 Speaker 1: finally exactly and what made harder is that I was 174 00:10:29,520 --> 00:10:32,480 Speaker 1: trying not to buy from Amazon, and Amazon is really 175 00:10:32,520 --> 00:10:36,600 Speaker 1: good at understanding what I'm trying to say, so all 176 00:10:36,640 --> 00:10:39,600 Speaker 1: searches always lead there. It was much more complicated when 177 00:10:39,640 --> 00:10:43,199 Speaker 1: I tried to avoid them and go to Etsy. And yeah, 178 00:10:43,360 --> 00:10:46,000 Speaker 1: so that's many Google searches in the last few days. 179 00:10:46,000 --> 00:10:50,199 Speaker 1: But I did buy LEMP eventually, so nice, congratulations. That's huge. 180 00:10:51,880 --> 00:10:54,160 Speaker 1: As you're saying that, I'm like, goose neck is one 181 00:10:54,200 --> 00:10:59,360 Speaker 1: thing you'll say to right, I just think of that 182 00:10:59,520 --> 00:11:01,760 Speaker 1: is how I hold my follow through after a drain 183 00:11:01,840 --> 00:11:08,880 Speaker 1: of three after a goose pop. Oh yeah, I mean again, 184 00:11:08,920 --> 00:11:12,199 Speaker 1: there's so many ways to describe the same product, but 185 00:11:12,840 --> 00:11:15,880 Speaker 1: then I'm glad that you found the right Well, I 186 00:11:15,920 --> 00:11:21,280 Speaker 1: actually end up buying a different that, but I settled 187 00:11:21,320 --> 00:11:23,760 Speaker 1: on something that just sits on the shelf. But but 188 00:11:23,840 --> 00:11:26,199 Speaker 1: I think I figured it out and then you know, 189 00:11:26,240 --> 00:11:28,560 Speaker 1: I just saw my options and I went with another 190 00:11:28,600 --> 00:11:31,319 Speaker 1: type of lamp. There it is. How is the move 191 00:11:31,400 --> 00:11:34,240 Speaker 1: treating you? I know just from my time living in 192 00:11:34,280 --> 00:11:38,520 Speaker 1: New York that it is oftentimes an annual, sometimes semi 193 00:11:38,559 --> 00:11:42,440 Speaker 1: annual occasion to move when you're living in New York. Yeah, 194 00:11:42,480 --> 00:11:44,920 Speaker 1: I feel it's been like three months and I still 195 00:11:45,160 --> 00:11:48,800 Speaker 1: and this is like a regular point of like argument 196 00:11:48,880 --> 00:11:50,920 Speaker 1: between me and more partner when I'm like, well, we're 197 00:11:50,920 --> 00:11:53,840 Speaker 1: still in the process of moving, and he's like, we're done, 198 00:11:53,840 --> 00:11:56,080 Speaker 1: We're here, what are you talking about? But I just 199 00:11:56,120 --> 00:12:00,520 Speaker 1: feel like there's still we haven't figured it out, you know. Yeah, 200 00:12:00,920 --> 00:12:02,720 Speaker 1: you mean like in terms of like putting, like where 201 00:12:02,720 --> 00:12:05,480 Speaker 1: your stuff goes and that stuff like exactly, yeah, and 202 00:12:05,520 --> 00:12:07,720 Speaker 1: like and like all these things, all these adjustments of 203 00:12:07,760 --> 00:12:10,680 Speaker 1: like all the swug you know, made sense in the 204 00:12:10,720 --> 00:12:12,760 Speaker 1: old apartment, but now we need a bigger one or 205 00:12:12,920 --> 00:12:15,679 Speaker 1: right now, and you're like slowly just getting to all 206 00:12:15,720 --> 00:12:18,480 Speaker 1: these things. So, and I think also like getting familiar 207 00:12:18,520 --> 00:12:21,080 Speaker 1: with your immediate neighborhood too. It's also like part of 208 00:12:21,120 --> 00:12:23,520 Speaker 1: I feel like part of that moving process because like 209 00:12:23,840 --> 00:12:26,120 Speaker 1: you know, you'll be like, oh, shot, I've this is 210 00:12:26,160 --> 00:12:28,120 Speaker 1: my store now, this is my bodega now, or this 211 00:12:28,160 --> 00:12:29,760 Speaker 1: is where I have to get groceries now, or is 212 00:12:29,800 --> 00:12:33,720 Speaker 1: like where I get coffee? Yea, where my subway? Yeah yeah, 213 00:12:33,960 --> 00:12:38,840 Speaker 1: that's been easier than the apartment stuff. But yeah, it's right. Yeah, 214 00:12:39,280 --> 00:12:43,200 Speaker 1: what what something you think is overrated? I was thinking 215 00:12:43,200 --> 00:12:45,080 Speaker 1: about I mean, it's gonna out with me as kind 216 00:12:45,080 --> 00:12:49,920 Speaker 1: of old, but like celebrating Bursdays. I started to think 217 00:12:49,960 --> 00:12:53,520 Speaker 1: that is overrated. And it's mostly because my last I 218 00:12:53,520 --> 00:12:55,920 Speaker 1: had a Bursday in September and that was just like 219 00:12:56,960 --> 00:12:59,839 Speaker 1: perfect storm of you know, COVID numbers. I think we're 220 00:12:59,880 --> 00:13:02,840 Speaker 1: in great and I was actually recovering from medical procedure 221 00:13:03,720 --> 00:13:05,640 Speaker 1: and so, I you know, I was kind of quiet 222 00:13:05,640 --> 00:13:08,800 Speaker 1: about my birthday. And also I just reactivate deactivated my 223 00:13:08,840 --> 00:13:12,280 Speaker 1: Facebook and Instagram. So, and I think I don't know 224 00:13:12,320 --> 00:13:14,319 Speaker 1: what younger people are doing, but like I think people 225 00:13:14,400 --> 00:13:17,960 Speaker 1: really got used to like learning I mean, remembering burthdays 226 00:13:18,000 --> 00:13:22,560 Speaker 1: based on Facebook and so really almost no one remembered 227 00:13:22,760 --> 00:13:24,600 Speaker 1: if I had my birth. It's kind of sad, but 228 00:13:25,000 --> 00:13:27,040 Speaker 1: you know, just my friends and family, and I think 229 00:13:27,040 --> 00:13:29,920 Speaker 1: with everything that's happening, you know, it's just and you 230 00:13:30,000 --> 00:13:33,120 Speaker 1: don't have another system from for the most part to remember. 231 00:13:33,240 --> 00:13:37,600 Speaker 1: So I just didn't do anything, and you know, everything 232 00:13:37,679 --> 00:13:40,640 Speaker 1: was just kind of a normal day. And I was like, 233 00:13:40,720 --> 00:13:43,360 Speaker 1: that's you know, as an adult, I feel like I 234 00:13:43,360 --> 00:13:46,040 Speaker 1: can just celebrate. If I want to celebrate something, I 235 00:13:46,040 --> 00:13:49,480 Speaker 1: can always come up with a like I can always 236 00:13:49,520 --> 00:13:51,600 Speaker 1: be like, oh I never did the housewarming, or I 237 00:13:51,600 --> 00:13:53,880 Speaker 1: want to invite people for this holiday, or like I 238 00:13:53,920 --> 00:13:58,400 Speaker 1: don't actually need that. Well, and also now it won't 239 00:13:58,440 --> 00:14:00,840 Speaker 1: be a problem because you can reactivate now that Facebook 240 00:14:00,880 --> 00:14:04,520 Speaker 1: has changed their name the meta, right, so it's actually 241 00:14:04,600 --> 00:14:08,000 Speaker 1: the permanently I did this after like a month or two, 242 00:14:08,040 --> 00:14:10,720 Speaker 1: I decided to permanently delete, which I think just went 243 00:14:10,760 --> 00:14:14,560 Speaker 1: into effect. So it's a good time, right, Yeah, Our 244 00:14:14,600 --> 00:14:19,560 Speaker 1: birthdays among adults a bigger deal in the United States 245 00:14:19,640 --> 00:14:24,280 Speaker 1: than Israel, you know, I don't I don't know, but 246 00:14:24,440 --> 00:14:27,800 Speaker 1: I do know that something really really funny difference I 247 00:14:27,920 --> 00:14:32,720 Speaker 1: noticed is that in Israel, and I'm assuming in other 248 00:14:32,800 --> 00:14:35,480 Speaker 1: countries like most of the world like once you're like 249 00:14:35,640 --> 00:14:38,560 Speaker 1: thirty five and a half or like close to six 250 00:14:38,720 --> 00:14:41,280 Speaker 1: thirty six, you're gonna start saying your thirty six. And 251 00:14:41,320 --> 00:14:44,400 Speaker 1: Americans are like, they're not going to say it until 252 00:14:44,440 --> 00:14:48,880 Speaker 1: the day. I find very weird. We're so afraid of 253 00:14:48,920 --> 00:14:51,720 Speaker 1: being old. Yeah, it's being hammered in our heads with 254 00:14:51,800 --> 00:14:56,600 Speaker 1: modern marketing campaigns. Don't be an old loser. But yeah, 255 00:14:56,640 --> 00:14:58,600 Speaker 1: I think it's also like this idea too, Like is 256 00:14:58,640 --> 00:15:00,480 Speaker 1: if you're like a sports agent and you're like, no, 257 00:15:00,600 --> 00:15:02,920 Speaker 1: this guy twenties, he's not he's twenty nine until he's 258 00:15:02,920 --> 00:15:05,920 Speaker 1: twenty nine. Man, this kid's twenty you know, he's still 259 00:15:06,160 --> 00:15:08,600 Speaker 1: juice in those legs. Which is just a funny argument 260 00:15:08,600 --> 00:15:11,640 Speaker 1: that I always seeing, like soccer discourse about people that's 261 00:15:11,640 --> 00:15:14,320 Speaker 1: always getting the arguments like this, this player is nearly 262 00:15:14,360 --> 00:15:16,840 Speaker 1: thirty years old. You're like, he's twenty nine, and they're like, 263 00:15:16,840 --> 00:15:18,960 Speaker 1: but he's he'll be thirty in three weeks. And they're like, 264 00:15:18,960 --> 00:15:21,480 Speaker 1: he's twenty nine until he's thirty, okay, And now what 265 00:15:21,720 --> 00:15:26,880 Speaker 1: is this is that like if you're already like almost there, 266 00:15:27,000 --> 00:15:29,600 Speaker 1: it's like I'm like a half I'm starting to switch. 267 00:15:30,120 --> 00:15:34,440 Speaker 1: So I'm I still give my age in months like 268 00:15:34,480 --> 00:15:44,320 Speaker 1: I'm a newborn, tell people that I'm exactly. That's funny though, 269 00:15:44,360 --> 00:15:47,960 Speaker 1: that is such a such a telling difference about I mean, 270 00:15:48,040 --> 00:15:53,960 Speaker 1: my hundred and twentieth trimester. But yeah, considering that, I 271 00:15:54,000 --> 00:15:56,960 Speaker 1: guess maybe Americans are more precious about their birthdays. I mean, 272 00:15:57,560 --> 00:16:00,600 Speaker 1: because that's the only day they're willing to actually change 273 00:16:00,640 --> 00:16:02,840 Speaker 1: their age. So I don't know. I think it depends 274 00:16:03,120 --> 00:16:04,680 Speaker 1: like sort of warrior like, you know, I know people 275 00:16:04,720 --> 00:16:07,200 Speaker 1: who are like, it's my birthday week. I'm like, okay, 276 00:16:07,240 --> 00:16:11,280 Speaker 1: full do you need more attention or okay, fine, Whereas 277 00:16:11,320 --> 00:16:13,120 Speaker 1: I'm at that age now too. I have my birthday 278 00:16:13,160 --> 00:16:15,960 Speaker 1: in September also, and I should just felt like Wednesday, 279 00:16:16,800 --> 00:16:18,760 Speaker 1: you know. Like, I think the one thing I really 280 00:16:18,760 --> 00:16:20,880 Speaker 1: do to feel good on my birthday is look at 281 00:16:20,920 --> 00:16:24,560 Speaker 1: the date and be like, yo, this is my one day, 282 00:16:24,840 --> 00:16:27,160 Speaker 1: and like really look at my calendar. I'm like, there, 283 00:16:27,160 --> 00:16:31,400 Speaker 1: it is September, We're here. Love it. And that's to me. 284 00:16:31,440 --> 00:16:33,760 Speaker 1: I think the most like joy I get out of 285 00:16:33,800 --> 00:16:35,920 Speaker 1: my birthday is like looking at the calendar and be 286 00:16:36,000 --> 00:16:39,640 Speaker 1: like it's me baby, and then that's it. But it's 287 00:16:40,880 --> 00:16:44,880 Speaker 1: so between me and my god, the cell phone. What 288 00:16:45,040 --> 00:16:49,240 Speaker 1: is something you think is underrated phone calls? Okay, I 289 00:16:49,240 --> 00:16:52,480 Speaker 1: mean specifically like this movement. Yeah, oh, there is a movement. 290 00:16:52,520 --> 00:16:54,120 Speaker 1: I'll join you. I mean, like this is a theme 291 00:16:54,160 --> 00:16:57,520 Speaker 1: we've been hearing sort of consistently, and I like to 292 00:16:57,560 --> 00:17:00,320 Speaker 1: hear it. But go on, yeah, I mean, yeah, I 293 00:17:00,360 --> 00:17:02,640 Speaker 1: can talk about like phone calls like you know, with 294 00:17:02,760 --> 00:17:05,920 Speaker 1: friends and family, but I think, like you know, just recently, 295 00:17:05,920 --> 00:17:09,240 Speaker 1: I dealt with a lot of like bureocracy and you know, 296 00:17:09,359 --> 00:17:12,200 Speaker 1: just picking up the phone and like I just had 297 00:17:12,200 --> 00:17:14,360 Speaker 1: this thing with my health insurance yesterday and I picked 298 00:17:14,440 --> 00:17:16,800 Speaker 1: up a phone and I waited on the line. It 299 00:17:16,840 --> 00:17:19,520 Speaker 1: wasn't pleasant, but like today was fixed, and it's I 300 00:17:19,560 --> 00:17:21,880 Speaker 1: think there's something about just like you're just there, you're 301 00:17:21,880 --> 00:17:25,200 Speaker 1: waiting someone actually talking to you. It humanizes you. You 302 00:17:25,320 --> 00:17:27,560 Speaker 1: explain to them why you know, you're in a bind. 303 00:17:27,640 --> 00:17:30,280 Speaker 1: You need so when it comes to like service providers 304 00:17:30,320 --> 00:17:33,159 Speaker 1: bureaucracy whenever you can, and it's kind of frustrating that 305 00:17:33,160 --> 00:17:35,360 Speaker 1: a lot of you know, services and business don't give 306 00:17:35,400 --> 00:17:39,600 Speaker 1: you the option anymore, but when you can, Yeah, and 307 00:17:39,640 --> 00:17:41,760 Speaker 1: I do have that, like I did get used to 308 00:17:41,800 --> 00:17:44,639 Speaker 1: like avoiding the phone and and you know, like looking 309 00:17:44,680 --> 00:17:47,160 Speaker 1: for the option for like the online chat or whatever. 310 00:17:47,960 --> 00:17:51,760 Speaker 1: But recently I just I'm like, I should just call more. 311 00:17:51,840 --> 00:17:55,000 Speaker 1: And also I'm picking up the phone, which is radical 312 00:17:55,680 --> 00:17:59,560 Speaker 1: unless it scam likely. Yeah. But then now there's there's 313 00:17:59,640 --> 00:18:02,800 Speaker 1: there's so many stealth numbers too that that like pop 314 00:18:02,840 --> 00:18:04,919 Speaker 1: in on your phone that aren't labeled like that, and 315 00:18:05,040 --> 00:18:07,560 Speaker 1: it'll be like really deceptive because it'll be like in 316 00:18:07,600 --> 00:18:10,320 Speaker 1: your local area code and you're like, oh, maybe that's 317 00:18:10,359 --> 00:18:11,919 Speaker 1: someone I know. And then you pick it up and 318 00:18:11,920 --> 00:18:14,520 Speaker 1: they're like, you have missed your chance for a rebate 319 00:18:14,640 --> 00:18:19,920 Speaker 1: on your medicare. I'm like, what, yeah, and then you 320 00:18:20,000 --> 00:18:22,680 Speaker 1: just have yeah, And then immediately I say block number. 321 00:18:23,200 --> 00:18:27,320 Speaker 1: Sometimes I'll call call the scam likely numbers on my phone, 322 00:18:27,359 --> 00:18:32,080 Speaker 1: just have someone to talk to. You know. Is that depressing? Are? No? No, 323 00:18:32,200 --> 00:18:35,800 Speaker 1: that's cool, right, Like that's just that's cool. So that's 324 00:18:35,800 --> 00:18:37,280 Speaker 1: how you're doing every time I tell you I'm too 325 00:18:37,320 --> 00:18:41,600 Speaker 1: busy to talk. Yeah, that's cool, man, that's cool. I'm 326 00:18:41,600 --> 00:18:43,720 Speaker 1: actually gonna call my friend now anyway. Yeah, I gotta 327 00:18:43,760 --> 00:18:46,760 Speaker 1: I gotta run anyway, because I got this person that 328 00:18:46,800 --> 00:18:49,240 Speaker 1: I gotta talk at this conference help my opinions on 329 00:18:50,040 --> 00:18:52,800 Speaker 1: the local. Yeah, I actually have a call set up 330 00:18:52,800 --> 00:18:54,280 Speaker 1: with the I R S, like I gotta give them 331 00:18:54,320 --> 00:18:56,240 Speaker 1: a bunch of or they're going to take my money. 332 00:18:56,280 --> 00:18:57,640 Speaker 1: So I gotta go to get a bunch of Best 333 00:18:57,680 --> 00:18:59,840 Speaker 1: Buy gift cards right now. I gotta talk to my 334 00:19:00,080 --> 00:19:06,080 Speaker 1: rand about my car warranty apparently, and then just getting 335 00:19:06,080 --> 00:19:08,960 Speaker 1: there by something that but I got options. I literally 336 00:19:09,000 --> 00:19:12,520 Speaker 1: just had a long interaction with like one of my 337 00:19:12,920 --> 00:19:16,520 Speaker 1: local coffee plays that I really like that like funked 338 00:19:16,600 --> 00:19:19,040 Speaker 1: up my order, and I had my three year old 339 00:19:19,080 --> 00:19:21,439 Speaker 1: with me, and it was just a situation where I 340 00:19:21,480 --> 00:19:24,560 Speaker 1: like couldn't go back to like get the thing that 341 00:19:24,640 --> 00:19:27,000 Speaker 1: they forgot to give me, and so I just like 342 00:19:27,040 --> 00:19:29,040 Speaker 1: wrote them an email and was like, it would be 343 00:19:29,080 --> 00:19:30,960 Speaker 1: great if you guys like had a had a phone 344 00:19:31,040 --> 00:19:34,159 Speaker 1: number that people could call. They do. They don't have 345 00:19:34,200 --> 00:19:36,960 Speaker 1: a phone number. They have they have this like texta 346 00:19:37,040 --> 00:19:42,720 Speaker 1: barrista thing, which I assumed it was like they said, oh, 347 00:19:42,760 --> 00:19:45,000 Speaker 1: that's what you should have done, is texta barista that 348 00:19:45,000 --> 00:19:48,240 Speaker 1: they funked up your order. But that's it seems more 349 00:19:48,320 --> 00:19:52,159 Speaker 1: like a novelty thing. So anyway, Wait, what was your complaint? Exactly. 350 00:19:52,240 --> 00:19:54,639 Speaker 1: I like how you like, you wrote a strongly worded 351 00:19:54,680 --> 00:19:58,399 Speaker 1: email like, no, I didn't like. I was very like. 352 00:19:58,440 --> 00:20:00,920 Speaker 1: You guys are my favorite at of this place. This 353 00:20:00,960 --> 00:20:02,920 Speaker 1: is more just like in a yeah, this is more 354 00:20:03,040 --> 00:20:06,040 Speaker 1: just advice for like, and I just told the situation 355 00:20:06,119 --> 00:20:12,200 Speaker 1: and that they like you little super No, No, I'm not. 356 00:20:12,280 --> 00:20:14,000 Speaker 1: I'm working with you. But what did they forget? Tell 357 00:20:14,040 --> 00:20:16,439 Speaker 1: me what the transgression was? What was the mistake? I 358 00:20:16,520 --> 00:20:19,720 Speaker 1: got lunch for my kids, my wife and I, and 359 00:20:19,760 --> 00:20:23,280 Speaker 1: they forgot my lunch and all the sides. And it 360 00:20:23,359 --> 00:20:27,280 Speaker 1: also wasn't ready at the time, like, they didn't have 361 00:20:27,359 --> 00:20:29,639 Speaker 1: my order when I showed up. And then I was 362 00:20:29,680 --> 00:20:32,680 Speaker 1: a biden with oh yeah, don't think that I wasn't 363 00:20:32,720 --> 00:20:35,320 Speaker 1: like thanks what biden at the top of my lungs 364 00:20:35,400 --> 00:20:38,240 Speaker 1: the whole time that I was waiting for it. But 365 00:20:38,240 --> 00:20:39,960 Speaker 1: but wait, you went to pick it up, and did 366 00:20:39,960 --> 00:20:42,119 Speaker 1: you notice that it was wrong? Or only when you 367 00:20:42,160 --> 00:20:44,679 Speaker 1: got home? Only when I got home. And so I 368 00:20:44,720 --> 00:20:47,280 Speaker 1: had already been waiting there with my three year old, 369 00:20:47,480 --> 00:20:49,439 Speaker 1: and like, you know, my three year old has a 370 00:20:49,600 --> 00:20:53,000 Speaker 1: very short attention span, and like isn't super patient, and 371 00:20:53,040 --> 00:20:55,320 Speaker 1: he was hungry, and so when we finally got it. 372 00:20:55,359 --> 00:20:57,760 Speaker 1: I just like grabbed it and you know, left and 373 00:20:57,800 --> 00:21:01,160 Speaker 1: then when I got home realized my food wasn't there, 374 00:21:01,440 --> 00:21:07,480 Speaker 1: And when I got wrote a very politely worded that's like, 375 00:21:07,560 --> 00:21:09,880 Speaker 1: you're it's sad. Is like that's part of your shitty 376 00:21:09,960 --> 00:21:12,919 Speaker 1: like lunch fate. Because when we do group lunches too, 377 00:21:12,960 --> 00:21:16,160 Speaker 1: there'll be times I'm like, everybody got their thing except Jack. 378 00:21:17,560 --> 00:21:21,040 Speaker 1: They forgot your ship, and you're all Normally you'll be like, no, 379 00:21:21,240 --> 00:21:23,879 Speaker 1: it's all good, and they were like, no, I remember, 380 00:21:23,880 --> 00:21:25,359 Speaker 1: So I be like, no, we gotta go kick the 381 00:21:25,400 --> 00:21:27,520 Speaker 1: fucking door down and go get your burger. And you're like, 382 00:21:27,560 --> 00:21:31,199 Speaker 1: I'll just I'll just get some. I'll just smell yours 383 00:21:31,240 --> 00:21:34,960 Speaker 1: and that'll be good. Yeah. Yeah, alright, Well, let's take 384 00:21:34,960 --> 00:21:37,160 Speaker 1: a quick break and we'll come back and talk about 385 00:21:37,200 --> 00:21:51,520 Speaker 1: some news. And we're back, and you know, it's good 386 00:21:51,560 --> 00:21:54,880 Speaker 1: to see the at least one state in our grand 387 00:21:55,160 --> 00:21:59,560 Speaker 1: United States actually cares about the little people who don't 388 00:21:59,560 --> 00:22:03,280 Speaker 1: believe in Yeah, this is cool. This is really cool 389 00:22:03,400 --> 00:22:07,920 Speaker 1: to see. The Republicans are are here to help the unemployed, 390 00:22:08,280 --> 00:22:12,200 Speaker 1: as long as the unemployed lost their job because they 391 00:22:12,480 --> 00:22:15,160 Speaker 1: didn't want to get vaccinated. No other reason than that. 392 00:22:15,280 --> 00:22:19,440 Speaker 1: I mean, yeah, the vaccine hesitancy issue is continues, never 393 00:22:19,560 --> 00:22:21,919 Speaker 1: ending story in this country. The most recent headlines like 394 00:22:22,040 --> 00:22:25,880 Speaker 1: twelve thousand Air Force personnel are still like being like, Nope, 395 00:22:26,640 --> 00:22:29,359 Speaker 1: we don't want it. We like, we'd love to be 396 00:22:29,400 --> 00:22:32,520 Speaker 1: in cramped quarters with a pandemic going on and no uh, 397 00:22:32,760 --> 00:22:37,560 Speaker 1: scientific recourse for safety. And now we're seeing this new 398 00:22:37,840 --> 00:22:41,040 Speaker 1: really cool bill from the state of Iowa which has 399 00:22:41,080 --> 00:22:44,840 Speaker 1: just passed through their state house and I think potentially 400 00:22:44,880 --> 00:22:47,280 Speaker 1: going to the governor's desk for a signature very soon. 401 00:22:47,800 --> 00:22:51,240 Speaker 1: But they've you know, like, like we've covered in past stories, 402 00:22:51,320 --> 00:22:54,680 Speaker 1: a lot of people thought their employers were pump faking 403 00:22:54,760 --> 00:22:57,800 Speaker 1: or bluffing when they're like, hey, we were there's a 404 00:22:57,840 --> 00:23:00,560 Speaker 1: mandate for our employees to be vaccinated. Also, there's going 405 00:23:00,600 --> 00:23:02,440 Speaker 1: to be a federal mandate that we're trying to bide by, 406 00:23:02,480 --> 00:23:04,960 Speaker 1: so get it together. And then they found themselves like, 407 00:23:05,080 --> 00:23:08,080 Speaker 1: I didn't think they were serious that someone who's a 408 00:23:08,119 --> 00:23:11,360 Speaker 1: frontline healthcare worker had to be vaccinated gets a pandemic, 409 00:23:12,320 --> 00:23:15,000 Speaker 1: Well now we have no jobs. Well in incomes the 410 00:23:15,040 --> 00:23:17,760 Speaker 1: state of Iowa because they've just opened their hearts to 411 00:23:17,800 --> 00:23:20,760 Speaker 1: these people who have no concept of altruism. They want 412 00:23:20,760 --> 00:23:24,680 Speaker 1: to actually expand unemployment benefits to people that get fired 413 00:23:24,760 --> 00:23:28,800 Speaker 1: for refusing. So this Republican bill quote specifies that employeesh 414 00:23:28,840 --> 00:23:31,320 Speaker 1: refuse the vaccine and are fired with would not be 415 00:23:31,400 --> 00:23:35,880 Speaker 1: disqualified from unemployment benefits. The bill additionally says employers shall 416 00:23:36,000 --> 00:23:38,879 Speaker 1: wave a vaccine requirement for an employee who submits a 417 00:23:38,920 --> 00:23:42,399 Speaker 1: statement that receiving the vaccine would be quote injurious to 418 00:23:42,480 --> 00:23:45,280 Speaker 1: their health or well being, or that it conflicts quote 419 00:23:45,280 --> 00:23:48,680 Speaker 1: with the tenants and practices of a religion the employee 420 00:23:48,680 --> 00:23:52,200 Speaker 1: adheres to. The statement also would not need to be 421 00:23:52,280 --> 00:23:56,639 Speaker 1: attested by a physician or a faith leader. So you 422 00:23:56,680 --> 00:23:59,720 Speaker 1: can just be like a general vibe. No, my doctor 423 00:23:59,800 --> 00:24:01,919 Speaker 1: said as now, and they're like, who's your doctor, Like 424 00:24:02,000 --> 00:24:05,720 Speaker 1: that's illegal, doctor can't attest to this. I'm just saying 425 00:24:05,760 --> 00:24:08,040 Speaker 1: that's my sort of frequency on vibing at right now 426 00:24:08,160 --> 00:24:12,080 Speaker 1: because I don't want the vaccine. Hippa hippa. Yeah, And 427 00:24:12,119 --> 00:24:14,160 Speaker 1: I mean it's like a very I think what's interesting 428 00:24:14,160 --> 00:24:16,280 Speaker 1: about this building too, is like it's getting like a 429 00:24:16,359 --> 00:24:20,280 Speaker 1: lot of opposition from all sides. Like there are democrats, 430 00:24:20,320 --> 00:24:22,800 Speaker 1: business owners, whore Like what is this like this is 431 00:24:23,000 --> 00:24:25,000 Speaker 1: this is actually gonna put people at risk, and also 432 00:24:25,400 --> 00:24:29,240 Speaker 1: it's creating penalties for employers who are trying to follow mandates, 433 00:24:29,280 --> 00:24:32,080 Speaker 1: like because they're gonna because they also want people who 434 00:24:32,160 --> 00:24:34,600 Speaker 1: are gonna fire them for not getting vaccinated to pay 435 00:24:34,680 --> 00:24:37,639 Speaker 1: more into the unemployment fund as a result of this. 436 00:24:38,160 --> 00:24:40,960 Speaker 1: So they're like, this isn't really sustainable in any way, 437 00:24:41,000 --> 00:24:44,160 Speaker 1: like if anything, you're using like financial threats to get 438 00:24:44,160 --> 00:24:46,920 Speaker 1: people to ignore a mandate. And then on the anti 439 00:24:46,960 --> 00:24:50,040 Speaker 1: mask vack side, they're like, this doesn't go far enough. 440 00:24:50,680 --> 00:24:53,640 Speaker 1: They should they should throw the employers in prison if 441 00:24:53,640 --> 00:24:56,600 Speaker 1: they mandate a vaccine, and also like they should also 442 00:24:56,640 --> 00:24:58,639 Speaker 1: this this really just needs to be an all out banned. 443 00:24:58,920 --> 00:25:02,639 Speaker 1: So it's a very sticky situation and you probably have 444 00:25:02,720 --> 00:25:06,600 Speaker 1: to do some investigation into any of these, like unemployment 445 00:25:06,720 --> 00:25:09,480 Speaker 1: claims to see what it's about, which I don't know 446 00:25:09,520 --> 00:25:11,399 Speaker 1: what the situation right now, but you know, for a 447 00:25:11,480 --> 00:25:14,840 Speaker 1: while there was such a crazy backlog with unemployment in 448 00:25:14,920 --> 00:25:18,080 Speaker 1: so many states, so it's really creating so much more work. 449 00:25:18,760 --> 00:25:21,520 Speaker 1: It seems like I don't even I don't know how 450 00:25:21,600 --> 00:25:24,040 Speaker 1: in practice you really approach this kind of I mean, 451 00:25:24,960 --> 00:25:27,760 Speaker 1: like firing because yeah, right, and I think that's what 452 00:25:27,800 --> 00:25:30,000 Speaker 1: many people who are looking at this like this doesn't 453 00:25:30,680 --> 00:25:33,120 Speaker 1: this just sounds like a thing you're saying to help 454 00:25:33,160 --> 00:25:36,360 Speaker 1: anti factors feel better, Like we don't even know legislatively, 455 00:25:36,440 --> 00:25:39,320 Speaker 1: Like it's not very clear how this works and is 456 00:25:39,359 --> 00:25:41,760 Speaker 1: going to not turn into like a runaway train that 457 00:25:41,880 --> 00:25:45,000 Speaker 1: ends up just like bankrupting businesses. If people just start 458 00:25:45,000 --> 00:25:46,920 Speaker 1: being like if we all quit a mass, then they're 459 00:25:46,920 --> 00:25:49,680 Speaker 1: gonna have to force to pay into the unemployment and 460 00:25:49,680 --> 00:25:52,440 Speaker 1: then what but the irony is just kind of next 461 00:25:52,520 --> 00:25:55,160 Speaker 1: level like that you have people who don't feel beholden 462 00:25:55,200 --> 00:25:58,800 Speaker 1: to anyone also have the expectation of financial support for 463 00:25:58,840 --> 00:26:02,880 Speaker 1: their selfishness, right, Yeah, everybody else should pay for my 464 00:26:02,960 --> 00:26:08,040 Speaker 1: ability to disregard their safety. Maybe we fire them and 465 00:26:08,160 --> 00:26:12,520 Speaker 1: hire them to work from home and help with the 466 00:26:12,520 --> 00:26:16,959 Speaker 1: backlog of people who need unemployment support. That way, they 467 00:26:16,960 --> 00:26:19,480 Speaker 1: don't get unemployment. They just I mean, that is the 468 00:26:20,040 --> 00:26:23,280 Speaker 1: problem in America is that, you know, ever since Reagan, 469 00:26:23,560 --> 00:26:26,080 Speaker 1: they've just been like, bureaucracy has been seen as a 470 00:26:26,119 --> 00:26:29,560 Speaker 1: bad thing, so there aren't enough bureaucrats. Instead, they anybody 471 00:26:29,680 --> 00:26:33,680 Speaker 1: who wants financial support from the government needs to become 472 00:26:33,880 --> 00:26:37,520 Speaker 1: a full time bureaucrat just to fucking juggle it. So 473 00:26:37,760 --> 00:26:40,320 Speaker 1: maybe maybe that's what we can do, send all those 474 00:26:40,359 --> 00:26:45,080 Speaker 1: people to the salt minds of helping people get paid unemployment. 475 00:26:45,840 --> 00:26:48,280 Speaker 1: I was so just as an immigrant in this country. 476 00:26:48,320 --> 00:26:51,359 Speaker 1: I want to remind people that, Like people are like, oh, 477 00:26:51,400 --> 00:26:54,080 Speaker 1: why they're so you know, vaccine mandates. Why is the 478 00:26:54,160 --> 00:26:56,520 Speaker 1: US so first of all about them? Like people who 479 00:26:56,600 --> 00:27:00,040 Speaker 1: weren't born here always had to get a lot of 480 00:27:00,080 --> 00:27:02,919 Speaker 1: vaccines to just be here, Like that was always and 481 00:27:02,960 --> 00:27:06,280 Speaker 1: they added they added COVID nineteen as well. So it's 482 00:27:06,320 --> 00:27:08,040 Speaker 1: like if you come to this country you're trying to 483 00:27:08,080 --> 00:27:09,840 Speaker 1: get a visa or when you do a green card, 484 00:27:09,880 --> 00:27:12,119 Speaker 1: like I come from a pretty i mean, Israel is 485 00:27:12,160 --> 00:27:13,879 Speaker 1: pretty big on vaccines, and I still had to do 486 00:27:13,920 --> 00:27:16,040 Speaker 1: a bunch of vaccines and like otherwise I just I 487 00:27:16,040 --> 00:27:18,359 Speaker 1: couldn't be here. So it's not like the US all 488 00:27:18,359 --> 00:27:21,200 Speaker 1: of a sudden it's like, oh, let's enforce vaccines. They're 489 00:27:21,240 --> 00:27:24,800 Speaker 1: always enforcing them to people who are not citizens. Oh wow, 490 00:27:24,960 --> 00:27:27,520 Speaker 1: Like so you've been here for a while and they 491 00:27:27,600 --> 00:27:30,919 Speaker 1: just you were still forced to get the vaccine like 492 00:27:31,080 --> 00:27:36,679 Speaker 1: right away, Well no, I'm yeah, I mean yeah, I mean, no, 493 00:27:36,760 --> 00:27:39,080 Speaker 1: I I was a little I was a vaccine hesitant 494 00:27:39,119 --> 00:27:42,520 Speaker 1: for only because I couldn't find my record, like my 495 00:27:42,600 --> 00:27:45,480 Speaker 1: vaccine record from when I was a baby, and or 496 00:27:45,520 --> 00:27:48,800 Speaker 1: my mom couldn't find it because I never held itself. 497 00:27:49,440 --> 00:27:51,119 Speaker 1: And I was like, I don't want to get like 498 00:27:51,160 --> 00:27:53,919 Speaker 1: a second vaccine for something that I'm already vaccine it for. 499 00:27:54,000 --> 00:27:56,600 Speaker 1: But there was really no like wiggle room, you know, 500 00:27:56,720 --> 00:27:58,520 Speaker 1: so like when you come to the country, you have 501 00:27:58,560 --> 00:28:00,679 Speaker 1: to get a series of vaccine that was on a 502 00:28:00,720 --> 00:28:03,760 Speaker 1: student visa, and then when I got a green card 503 00:28:03,800 --> 00:28:07,320 Speaker 1: like six years after, there's like another long list of vaccines. 504 00:28:07,359 --> 00:28:09,640 Speaker 1: And if I couldn't prove that I have them through 505 00:28:09,680 --> 00:28:11,680 Speaker 1: antibodies of vaccine records, I had to get a bunch 506 00:28:11,720 --> 00:28:15,200 Speaker 1: of them again. So yeah, and that's always the process. 507 00:28:15,240 --> 00:28:18,399 Speaker 1: So and now they added COVID nineteen, which makes sense. 508 00:28:19,040 --> 00:28:21,360 Speaker 1: But just to like anyone that thought that, like, oh, 509 00:28:21,400 --> 00:28:24,080 Speaker 1: everyone here has the freedom to not get vaccinated if 510 00:28:24,080 --> 00:28:27,520 Speaker 1: they want to, that's no, it's just far citizens, right, yea, 511 00:28:28,520 --> 00:28:31,040 Speaker 1: But yet here they are there their freedoms are being 512 00:28:31,080 --> 00:28:34,800 Speaker 1: infringed upon. Uh. Just it's amazing how that one word 513 00:28:34,880 --> 00:28:36,960 Speaker 1: is just like a catch all to just say, like, no, 514 00:28:37,200 --> 00:28:41,440 Speaker 1: the law is negated because freedom, human decncy negated because 515 00:28:41,480 --> 00:28:47,000 Speaker 1: freedom interesting. All right, let's talk about redlining. You know 516 00:28:47,120 --> 00:28:49,440 Speaker 1: it was it was I feel like most people who 517 00:28:49,440 --> 00:28:51,080 Speaker 1: listen to the show would know what redlining is. But 518 00:28:51,120 --> 00:28:55,880 Speaker 1: it was the you know, racist practice of making it's 519 00:28:55,920 --> 00:29:00,520 Speaker 1: so that people of color, black households, Hispanic household could 520 00:29:00,520 --> 00:29:04,760 Speaker 1: not get loans for homes to be couldn't become homeowners, 521 00:29:04,760 --> 00:29:09,680 Speaker 1: and therefore couldn't grow their wealth. Quite literally drawing red 522 00:29:09,760 --> 00:29:12,680 Speaker 1: lines on a map where where their communities of color 523 00:29:12,840 --> 00:29:17,320 Speaker 1: and banks are like, don't invest there, don't allow people 524 00:29:17,360 --> 00:29:20,440 Speaker 1: to get a loan, We're not interested in those. And yes, 525 00:29:20,720 --> 00:29:24,120 Speaker 1: like you're saying, a racist practice that was technically outlawed 526 00:29:24,160 --> 00:29:27,960 Speaker 1: in nineteen sixty eight, but the negative impacts we still 527 00:29:27,960 --> 00:29:31,120 Speaker 1: feel them today. I mean, yeah, just yeah, quickly. I mean, 528 00:29:31,200 --> 00:29:33,760 Speaker 1: we've talked about it before, but it still happens informally 529 00:29:33,800 --> 00:29:36,320 Speaker 1: in the real estate market, with landlords and real estate 530 00:29:36,320 --> 00:29:40,880 Speaker 1: agents claiming there aren't apartments available to families of color, 531 00:29:40,960 --> 00:29:43,840 Speaker 1: or not showing them houses and neighborhoods where they believe 532 00:29:44,320 --> 00:29:48,080 Speaker 1: or where they claim that a family of color would 533 00:29:48,480 --> 00:29:51,400 Speaker 1: lower the property value that's a like piece of accepted 534 00:29:51,400 --> 00:29:54,600 Speaker 1: wisdom in the real estate industry in a lot of places. 535 00:29:54,640 --> 00:29:57,320 Speaker 1: That's actually a thing that real estate agents and landlords 536 00:29:57,320 --> 00:30:00,760 Speaker 1: have been caught on camera and on audio wing in 537 00:30:00,800 --> 00:30:04,160 Speaker 1: the last few years in you know, backwater ship holds 538 00:30:04,280 --> 00:30:08,280 Speaker 1: like I don't know, New York City and New Jersey, 539 00:30:09,080 --> 00:30:13,000 Speaker 1: you know l a like the yeah, it's just everywhere. Yeah, 540 00:30:13,040 --> 00:30:14,840 Speaker 1: I mean and and and as you look like you're 541 00:30:14,840 --> 00:30:17,920 Speaker 1: saying right, home ownership, like in America, the path to 542 00:30:18,000 --> 00:30:23,160 Speaker 1: wealth accumulation is typically inter intersecting with property ownership, with 543 00:30:23,400 --> 00:30:25,800 Speaker 1: owning your home. And when you look at at the 544 00:30:25,800 --> 00:30:29,760 Speaker 1: start of nearly seventy percent of white households own their 545 00:30:29,760 --> 00:30:34,080 Speaker 1: homes compared tot of black households, or percent of Hispanic households, 546 00:30:34,080 --> 00:30:37,240 Speaker 1: and or even fifty percent of other racial minority households. 547 00:30:37,280 --> 00:30:39,360 Speaker 1: So the d o J has announced that it's going 548 00:30:39,400 --> 00:30:42,680 Speaker 1: to be tackling this problem with a new initiative called 549 00:30:42,720 --> 00:30:46,440 Speaker 1: the Combating Redlining Initiative and taking many approaches to sort 550 00:30:46,480 --> 00:30:51,520 Speaker 1: of try and create some more financial equality, like strengthening 551 00:30:51,560 --> 00:30:55,360 Speaker 1: their working relationships with financial agencies to make sure like 552 00:30:55,440 --> 00:30:58,280 Speaker 1: redlining like they're like, oh, like we can identify what's 553 00:30:58,280 --> 00:31:02,000 Speaker 1: happening here and referred to authorities also increasing coordination with 554 00:31:02,080 --> 00:31:05,800 Speaker 1: state officials to weed out potential fair lending violations. But 555 00:31:06,240 --> 00:31:09,440 Speaker 1: at the end of the day, like this, while this 556 00:31:09,520 --> 00:31:11,160 Speaker 1: is a great thing, I think one of the biggest 557 00:31:11,160 --> 00:31:14,800 Speaker 1: missing like facts that isn't talked about enough when you 558 00:31:14,840 --> 00:31:18,280 Speaker 1: talk about like the income inequality or the just the 559 00:31:18,360 --> 00:31:21,960 Speaker 1: huge differences that we have in financial outcomes for white 560 00:31:22,000 --> 00:31:24,880 Speaker 1: Americans as it relates to more specifically to Black Americans, 561 00:31:24,880 --> 00:31:27,720 Speaker 1: but minorities as a whole, but also talk about Black Americans. 562 00:31:27,760 --> 00:31:31,479 Speaker 1: This this relates specifically to chattel slavery. Is that you know, 563 00:31:31,760 --> 00:31:34,880 Speaker 1: there have just been generations of black people who have 564 00:31:34,920 --> 00:31:37,680 Speaker 1: been kept from attaining wealth. And this has been happening 565 00:31:37,680 --> 00:31:42,720 Speaker 1: again since chattel slavery, and it's a huge contributing factor 566 00:31:42,760 --> 00:31:45,000 Speaker 1: to the inequality we see today. Just like if you 567 00:31:45,080 --> 00:31:47,000 Speaker 1: zoom out right and you look at the value of 568 00:31:47,320 --> 00:31:51,000 Speaker 1: slaves slavery, the four million slaves that were in the 569 00:31:51,080 --> 00:31:54,840 Speaker 1: US in eighteen sixty were worth about four billion dollars 570 00:31:54,840 --> 00:31:57,840 Speaker 1: in eighteen sixty time in today's money, that would be 571 00:31:57,880 --> 00:32:01,200 Speaker 1: close to forty two trillion dollars. That's what the slaves 572 00:32:01,200 --> 00:32:03,720 Speaker 1: were worth, okay, and then if you zoom out a 573 00:32:03,760 --> 00:32:05,120 Speaker 1: little bit more and you say, well, what about the 574 00:32:05,160 --> 00:32:08,120 Speaker 1: wages that potentially were kept or could have been paid 575 00:32:08,160 --> 00:32:11,360 Speaker 1: to slaves, that comes out to about twenty point three 576 00:32:11,440 --> 00:32:15,080 Speaker 1: trillion dollars in wages if there if slavery was a 577 00:32:15,120 --> 00:32:19,440 Speaker 1: wage wage kig rather than fucking slavery. So you're thinking, 578 00:32:19,560 --> 00:32:22,160 Speaker 1: these are massive amounts of money that we're taken off 579 00:32:22,160 --> 00:32:24,760 Speaker 1: the backs of the slave labor and now just put 580 00:32:24,800 --> 00:32:26,720 Speaker 1: into all kinds of communities in the United States. You 581 00:32:26,720 --> 00:32:29,840 Speaker 1: also look at the Homestead Act, where people were given 582 00:32:30,120 --> 00:32:33,640 Speaker 1: houses that were basically taken from Native Americans. That was 583 00:32:33,800 --> 00:32:36,400 Speaker 1: that was mostly for white people. They say about, you know, 584 00:32:36,560 --> 00:32:39,760 Speaker 1: forty eight million people in the United States benefit from 585 00:32:39,880 --> 00:32:44,080 Speaker 1: the Homestead Act and probably unbeknownst to them. And this 586 00:32:44,120 --> 00:32:46,600 Speaker 1: is sort of the table that Black Americans were given 587 00:32:46,600 --> 00:32:48,880 Speaker 1: a seat at, and that's the gap that you know, 588 00:32:49,600 --> 00:32:52,680 Speaker 1: black people have had to overcome. And when you look 589 00:32:52,720 --> 00:32:57,280 Speaker 1: at how redlining took another opportunity for upwards social mobility away, 590 00:32:57,360 --> 00:33:00,640 Speaker 1: it becomes truly staggering as it relates to redlining in 591 00:33:00,680 --> 00:33:03,160 Speaker 1: like the fifties and sixties, though, like this is when 592 00:33:03,160 --> 00:33:05,760 Speaker 1: most people's grandparents were buying homes and things like that. 593 00:33:06,000 --> 00:33:10,000 Speaker 1: Percentages of house ownership went from thirty to six but 594 00:33:10,080 --> 00:33:13,160 Speaker 1: in that time, percent of the home loans were given 595 00:33:13,160 --> 00:33:16,680 Speaker 1: to white families. So at every stop you're like, there's 596 00:33:16,800 --> 00:33:19,560 Speaker 1: so much shipped to overcome, and when you look at 597 00:33:19,600 --> 00:33:22,320 Speaker 1: this redlining task force and like this is great, but 598 00:33:22,440 --> 00:33:24,840 Speaker 1: also when you really think about what you are trying 599 00:33:24,880 --> 00:33:27,440 Speaker 1: to how you're trying to rebalance the scales, it's such 600 00:33:27,480 --> 00:33:30,760 Speaker 1: a minuscule drop in the bucket, especially when you think 601 00:33:30,800 --> 00:33:33,200 Speaker 1: about the you know, forty acres and a mule that 602 00:33:33,240 --> 00:33:36,120 Speaker 1: were promised to newly freed slaves as well, and how 603 00:33:36,160 --> 00:33:39,760 Speaker 1: the government renect on that. And there's that's also trillions 604 00:33:39,760 --> 00:33:42,600 Speaker 1: of dollars in wealth that completely could have been in 605 00:33:42,640 --> 00:33:45,440 Speaker 1: the hands of black families. Yeah, so it's just a 606 00:33:45,560 --> 00:33:48,640 Speaker 1: very interesting, interesting thing tom all over as like the 607 00:33:48,680 --> 00:33:51,240 Speaker 1: headline is merely talking about redlining without like come on, 608 00:33:51,400 --> 00:33:54,480 Speaker 1: give people like really the foundational understanding of like why 609 00:33:54,480 --> 00:33:57,200 Speaker 1: this needs to be addressed. So what are they gonna do? 610 00:33:58,240 --> 00:34:00,440 Speaker 1: I mean, in this instance, they're just saying we're gonna 611 00:34:00,440 --> 00:34:04,200 Speaker 1: do better about being taking uh, you know, discriminatory lending 612 00:34:04,240 --> 00:34:07,160 Speaker 1: practices seriously. But then that's what I'm saying, Like I 613 00:34:07,200 --> 00:34:09,600 Speaker 1: really want people to have the perspective of, like, well, 614 00:34:09,640 --> 00:34:14,080 Speaker 1: here's the thing. Imagine if descendants of slaves were actually got, 615 00:34:14,120 --> 00:34:19,040 Speaker 1: were given some kind of reparations, you know, and what 616 00:34:19,200 --> 00:34:23,520 Speaker 1: that actually means to create some level of equity, because 617 00:34:24,160 --> 00:34:27,200 Speaker 1: at every turn, there was just these moments where the 618 00:34:27,280 --> 00:34:29,800 Speaker 1: United States government were able to just sort of reinforce 619 00:34:29,880 --> 00:34:32,800 Speaker 1: this cast system very cynically. And now we're only getting 620 00:34:32,800 --> 00:34:34,880 Speaker 1: to a point where like we're talking about just the 621 00:34:35,400 --> 00:34:39,800 Speaker 1: a drip in the bucket. Yeah, the forty two trillion, 622 00:34:40,000 --> 00:34:42,640 Speaker 1: Like just to think about that, that forty two trillion 623 00:34:42,640 --> 00:34:47,200 Speaker 1: dollars worth of you know, value that was stolen from 624 00:34:47,280 --> 00:34:53,120 Speaker 1: black slaves, and that was used by the families, the 625 00:34:53,120 --> 00:34:57,880 Speaker 1: plantation owners, the to become extremely wealthy, and that money 626 00:34:57,960 --> 00:35:01,000 Speaker 1: is still in those communities like to this day. Like 627 00:35:01,080 --> 00:35:06,200 Speaker 1: that's that it's it's a thing that's so foreign to Americans, 628 00:35:06,239 --> 00:35:09,840 Speaker 1: Like they're I'm reading this book the History of Debt 629 00:35:09,920 --> 00:35:14,200 Speaker 1: the First five thousand Years, and the author like uses 630 00:35:14,239 --> 00:35:16,480 Speaker 1: this phrase of person who acts like he doesn't owe 631 00:35:16,480 --> 00:35:21,080 Speaker 1: anything to anyone, and he's like would use it as 632 00:35:21,120 --> 00:35:23,880 Speaker 1: like a self evidently like a thing that's stupid or 633 00:35:24,000 --> 00:35:27,680 Speaker 1: unvirtuous people would do. And like that's not a saying 634 00:35:27,719 --> 00:35:32,360 Speaker 1: in America because that that's almost like the American ideal. 635 00:35:32,600 --> 00:35:36,000 Speaker 1: Like when you google that in America, they're like, you 636 00:35:36,040 --> 00:35:38,680 Speaker 1: don't know, shipped to anybody, Like there it's just people 637 00:35:39,120 --> 00:35:43,560 Speaker 1: reinforcing that. And it's the the idea that you, you know, 638 00:35:43,640 --> 00:35:48,240 Speaker 1: we rewrite people's life stories for them, or only listen 639 00:35:48,360 --> 00:35:51,480 Speaker 1: to the parts of their life stories that involved them 640 00:35:51,520 --> 00:35:54,400 Speaker 1: pulling themselves up by their bootstraps. We you know, this 641 00:35:54,480 --> 00:35:57,920 Speaker 1: is what that Malcolm Glabwell book Outliers was about, is 642 00:35:58,000 --> 00:36:02,319 Speaker 1: like people who have advantages, they get their have their 643 00:36:02,360 --> 00:36:05,680 Speaker 1: stories rewritten. So instead of focusing on the fact that 644 00:36:05,719 --> 00:36:10,800 Speaker 1: Bill Gates was like uniquely wealthy and in a school 645 00:36:10,800 --> 00:36:13,640 Speaker 1: system that had the only computers where he could have 646 00:36:13,680 --> 00:36:17,359 Speaker 1: learned programming as a kid, his story gets retold so 647 00:36:17,400 --> 00:36:20,440 Speaker 1: that he is a college dropout who like made it 648 00:36:20,520 --> 00:36:23,920 Speaker 1: from nothing to becoming Bill Gates. And it's just like 649 00:36:24,080 --> 00:36:28,719 Speaker 1: so outside of the American ideal to think about the 650 00:36:28,760 --> 00:36:33,959 Speaker 1: fact that you are the result of a number of 651 00:36:34,520 --> 00:36:38,719 Speaker 1: you know, ancestors, people before you who got breaks or 652 00:36:38,920 --> 00:36:43,279 Speaker 1: were robbing people and like, that's just so hard for 653 00:36:43,320 --> 00:36:46,840 Speaker 1: Americans to wrap their head around. I think specifically because 654 00:36:47,800 --> 00:36:51,640 Speaker 1: we are founded on a country of you know, slavery, 655 00:36:51,800 --> 00:36:55,560 Speaker 1: and so it's a thing, it's a memory that they 656 00:36:55,600 --> 00:36:59,239 Speaker 1: specifically don't want to have, and therefore we've built our 657 00:36:59,520 --> 00:37:03,080 Speaker 1: entire ethos around the idea that we're all just starting 658 00:37:03,120 --> 00:37:07,560 Speaker 1: from a blank slate. Yeah, America started in nineteen twenty, right, 659 00:37:07,840 --> 00:37:10,279 Speaker 1: you know what I mean. They don't look about anything 660 00:37:10,440 --> 00:37:13,920 Speaker 1: before that. And I mean, and I think that's why 661 00:37:14,000 --> 00:37:17,759 Speaker 1: we're seeing just all of the panic around like educating 662 00:37:17,800 --> 00:37:20,160 Speaker 1: people and what it means to teach history in this country, 663 00:37:20,280 --> 00:37:25,239 Speaker 1: because it's it's about confronting the ugly ship that is 664 00:37:25,320 --> 00:37:27,520 Speaker 1: part of your history that you have to learn from 665 00:37:27,520 --> 00:37:29,799 Speaker 1: to be able to move past it, to grow past it. 666 00:37:29,840 --> 00:37:32,440 Speaker 1: If you're gonna always make yourself ignorant of those things, 667 00:37:32,760 --> 00:37:35,200 Speaker 1: then you know, like that saying goes, you're doomed to 668 00:37:35,239 --> 00:37:38,440 Speaker 1: repeat it. And we are continuing too and still shrugging, 669 00:37:38,480 --> 00:37:40,960 Speaker 1: like shrugging, are like what's going on? How do we 670 00:37:41,480 --> 00:37:45,240 Speaker 1: still huh? Yeah? You really helped me organized thoughts about 671 00:37:45,440 --> 00:37:49,879 Speaker 1: just always feeling like this is a more historical culture man, 672 00:37:50,000 --> 00:37:52,680 Speaker 1: and I live here. But I will say about reparations 673 00:37:52,680 --> 00:37:55,799 Speaker 1: that also from like a foreign perspective, it's really not 674 00:37:55,880 --> 00:37:59,880 Speaker 1: a radical proposal when you are and when you have 675 00:38:00,280 --> 00:38:02,799 Speaker 1: family who has been through the Holocaust, because you know, 676 00:38:02,880 --> 00:38:06,640 Speaker 1: my grandma would get reparations until she passed last year 677 00:38:06,680 --> 00:38:11,359 Speaker 1: from Germany. So it's like, yeah, it happens. Yeah, it's 678 00:38:11,360 --> 00:38:14,040 Speaker 1: not it's not radical, it's not unheard of. It it's 679 00:38:14,120 --> 00:38:20,200 Speaker 1: just radical to the very like white supremacists sort of 680 00:38:20,239 --> 00:38:24,040 Speaker 1: mindset of of Americans. And yeah, because you have to 681 00:38:24,239 --> 00:38:26,520 Speaker 1: for that to happen, you have to acknowledge that the 682 00:38:26,640 --> 00:38:29,920 Speaker 1: United States is where it's at because of chattel slavery, 683 00:38:30,080 --> 00:38:33,879 Speaker 1: Like the amounts of wealth untold, the like no one 684 00:38:33,960 --> 00:38:35,680 Speaker 1: even came close to the amount of money that was 685 00:38:35,719 --> 00:38:39,440 Speaker 1: being made with slaves in the United States. Like the 686 00:38:39,480 --> 00:38:43,000 Speaker 1: South was like the most profitable tiny piece of land 687 00:38:43,080 --> 00:38:46,360 Speaker 1: during that time because of all the slavery. And I 688 00:38:46,400 --> 00:38:49,520 Speaker 1: think that's a huge part that you know, it's like 689 00:38:50,080 --> 00:38:52,760 Speaker 1: just like with anything with people like what's my white privilege, 690 00:38:52,800 --> 00:38:56,680 Speaker 1: like more than that American privilege or the foundation financially 691 00:38:56,680 --> 00:38:59,799 Speaker 1: that this whole thing is set up on is so 692 00:39:00,000 --> 00:39:04,479 Speaker 1: fucking ugly. But again, it's easier to just say like, yeah, 693 00:39:04,480 --> 00:39:06,719 Speaker 1: I was just like a couple of people were doing it. 694 00:39:06,719 --> 00:39:10,160 Speaker 1: It's not really like the main engine financial engine of 695 00:39:10,160 --> 00:39:13,480 Speaker 1: the country when it's exactly what it was. So it 696 00:39:13,520 --> 00:39:15,600 Speaker 1: sounds like this test force is not going to try 697 00:39:15,600 --> 00:39:19,000 Speaker 1: to necessarily deal with the sins of the past, but 698 00:39:19,080 --> 00:39:22,360 Speaker 1: more like, tuckle, what is still happening, like, what's actively 699 00:39:22,400 --> 00:39:25,840 Speaker 1: happening now with lenders? Is that is that right? Yeah? 700 00:39:25,880 --> 00:39:27,880 Speaker 1: I mean that's what it is. Yeah, exactly, like this 701 00:39:27,960 --> 00:39:29,920 Speaker 1: is what we can do now. But it's like one 702 00:39:29,960 --> 00:39:32,480 Speaker 1: of these things where it's like somewhat the damage is 703 00:39:32,520 --> 00:39:36,400 Speaker 1: so significant from everything else preceding it that it just 704 00:39:36,440 --> 00:39:40,960 Speaker 1: feels it's really bad faith gesture to not truly observe 705 00:39:41,080 --> 00:39:43,840 Speaker 1: that and say, wow, that's a lot of money that 706 00:39:44,320 --> 00:39:48,680 Speaker 1: is owed to these people. Yeah, because we basically just 707 00:39:48,760 --> 00:39:52,880 Speaker 1: brought them over in bondage and extracted every last drop 708 00:39:52,960 --> 00:39:56,520 Speaker 1: of value from these people's bodies. Yeah. We have heard 709 00:39:56,520 --> 00:39:58,440 Speaker 1: a story last week about how one of the guys 710 00:39:58,480 --> 00:40:02,480 Speaker 1: running for bridging a governor the Republican not not surprisingly, 711 00:40:02,600 --> 00:40:06,680 Speaker 1: helped a woman who like was outraged that her high 712 00:40:06,680 --> 00:40:10,200 Speaker 1: school age some was being asked to read Tony Morrison's 713 00:40:10,239 --> 00:40:13,960 Speaker 1: bit loved and like she was the one making the 714 00:40:14,000 --> 00:40:16,640 Speaker 1: ad about it. She was the one who she didn't 715 00:40:16,640 --> 00:40:20,239 Speaker 1: say what the book was, but acted like that was 716 00:40:20,960 --> 00:40:25,360 Speaker 1: pornography or like some sort of just violent act of 717 00:40:25,480 --> 00:40:29,799 Speaker 1: violence when it's actually a Pulitzer Prize winning like one 718 00:40:29,800 --> 00:40:32,840 Speaker 1: of the one of the great novels events based on 719 00:40:32,880 --> 00:40:37,880 Speaker 1: actual events. But that's violence to the American psyche for 720 00:40:37,920 --> 00:40:41,600 Speaker 1: the reasons that we're talking about in this story. All right, 721 00:40:41,680 --> 00:40:43,400 Speaker 1: let's take a quick break and we'll come back and 722 00:40:43,440 --> 00:40:58,520 Speaker 1: talk about other stuff. And we're back. And there's a 723 00:40:58,520 --> 00:41:04,360 Speaker 1: long tradition of rich people thinking that they are good 724 00:41:04,400 --> 00:41:07,279 Speaker 1: at the thing, not the thing that made them like 725 00:41:08,480 --> 00:41:11,120 Speaker 1: famous or rich in the first place, but like something 726 00:41:11,160 --> 00:41:13,279 Speaker 1: else that they're just gonna like try their hand at. 727 00:41:13,520 --> 00:41:17,160 Speaker 1: So just the soothing confidence that comes along with amassing 728 00:41:17,640 --> 00:41:21,280 Speaker 1: just obscene amounts of money. Enough people just tell you 729 00:41:20,880 --> 00:41:24,520 Speaker 1: you're great enough times, and you're like, well, I'm probably 730 00:41:24,520 --> 00:41:34,839 Speaker 1: great at this thing too that I haven't ship. That sucks, man. 731 00:41:35,280 --> 00:41:38,359 Speaker 1: It's you know the bubble episode of thirty Rock where 732 00:41:38,440 --> 00:41:40,480 Speaker 1: John Hamm is so good looking that he thinks he's 733 00:41:40,560 --> 00:41:43,279 Speaker 1: like a master chef, and he's like here, try my 734 00:41:43,400 --> 00:41:47,520 Speaker 1: orange Gatorade chicken, and Liz is like, oh my god, 735 00:41:47,640 --> 00:41:50,799 Speaker 1: this fucking sucks man, but I can't tell him because 736 00:41:50,800 --> 00:41:54,440 Speaker 1: he's so good looking. Like it's that but times a billion, 737 00:41:54,560 --> 00:41:58,160 Speaker 1: because it's billionaires and you know, everybody just kids. They're 738 00:41:58,160 --> 00:42:03,520 Speaker 1: asked NonStop. And our latest entertaining example of this and 739 00:42:03,760 --> 00:42:07,239 Speaker 1: in the United States, is Warren Buffett's right hand man, 740 00:42:07,840 --> 00:42:12,680 Speaker 1: Charles Munger, who is offering to build a building for 741 00:42:12,760 --> 00:42:16,160 Speaker 1: a university, but only if he gets to design it badly. 742 00:42:17,360 --> 00:42:20,279 Speaker 1: I'm I'm a I'm an architect, and I'm a billionaire. 743 00:42:20,800 --> 00:42:23,359 Speaker 1: If you want this money, I have to design it. 744 00:42:23,360 --> 00:42:26,600 Speaker 1: It's essentially the agreement that he has with UC Santa Barbara. 745 00:42:26,920 --> 00:42:29,920 Speaker 1: If you've been at UC Santa Barbara's campus, it's fucking beautiful. 746 00:42:30,040 --> 00:42:32,240 Speaker 1: It's like on a it's like on a seat side 747 00:42:32,320 --> 00:42:35,640 Speaker 1: bluff and ship, and you're like, God, why didn't I 748 00:42:35,760 --> 00:42:39,160 Speaker 1: go here? It's homesick and I just wanted to stay 749 00:42:39,200 --> 00:42:41,800 Speaker 1: in l A. But anyway, he's apparently going to be 750 00:42:41,880 --> 00:42:45,720 Speaker 1: contributing one point five billion dollars to build this fucking 751 00:42:45,840 --> 00:42:51,640 Speaker 1: dorm massive dorm complex or building. And his whole thing is, 752 00:42:51,840 --> 00:42:54,360 Speaker 1: you know, this is in his first foray into the 753 00:42:54,520 --> 00:42:58,200 Speaker 1: dorm design either, you know, because obviously wealthy people giving 754 00:42:58,239 --> 00:43:00,640 Speaker 1: money to a college and being like, nayme, building after 755 00:43:00,719 --> 00:43:03,319 Speaker 1: me is normal, Like that's just how business has done. 756 00:43:03,719 --> 00:43:06,880 Speaker 1: So he's done it at Stanford and also the University 757 00:43:06,880 --> 00:43:09,680 Speaker 1: of Michigan, and again he was saying like, I've got 758 00:43:09,719 --> 00:43:13,000 Speaker 1: these ideas, man these architectural ideas that I want to 759 00:43:13,000 --> 00:43:16,319 Speaker 1: see manifest into these buildings that I will pay for. 760 00:43:16,800 --> 00:43:21,080 Speaker 1: And the Stanford residents they seem pretty straightforward. Apparently they're 761 00:43:21,120 --> 00:43:24,920 Speaker 1: they're described as normal apartments, the Michigan Home and the 762 00:43:24,960 --> 00:43:28,279 Speaker 1: one at UCSB. Most people describe that as quote most 763 00:43:28,360 --> 00:43:33,839 Speaker 1: bedrooms don't have windows, and you're like, wait, hold on, 764 00:43:33,960 --> 00:43:36,840 Speaker 1: I thought you had a very very like what was 765 00:43:36,880 --> 00:43:40,680 Speaker 1: your vision here? And the monger himself, he says that 766 00:43:40,719 --> 00:43:44,280 Speaker 1: these buildings quote have a focus on providing ample interactive 767 00:43:44,280 --> 00:43:48,000 Speaker 1: spaces for students, minimizing costs by maximizing the number of 768 00:43:48,000 --> 00:43:51,560 Speaker 1: beds on a given sight, employing the concept of repeatability 769 00:43:52,440 --> 00:43:58,399 Speaker 1: over right. And if you look down at a very 770 00:43:58,480 --> 00:44:01,480 Speaker 1: crude sketch of what this building looks like, it looks 771 00:44:01,480 --> 00:44:04,520 Speaker 1: like a fucking prison. You're like, these just look like 772 00:44:04,520 --> 00:44:09,279 Speaker 1: a bunch of cells organized around like the central corridor. 773 00:44:09,280 --> 00:44:13,360 Speaker 1: We're failing to see what is truly transformative about this design, 774 00:44:13,600 --> 00:44:16,839 Speaker 1: especially as it has no windows either the I mean, 775 00:44:16,920 --> 00:44:21,920 Speaker 1: don't take our expert architectural opinion on this. The architectural 776 00:44:22,000 --> 00:44:26,440 Speaker 1: expert who was in charge of like consulting on you 777 00:44:26,600 --> 00:44:31,960 Speaker 1: see SPS projects, Dennis McFadden, resigned from the university's review 778 00:44:31,960 --> 00:44:35,920 Speaker 1: committee and in his resignation letters noted that because of 779 00:44:36,040 --> 00:44:40,800 Speaker 1: Mongers project, he resigned and noted that this building would 780 00:44:40,880 --> 00:44:44,680 Speaker 1: qualify as the eighth densest neighborhood on the planet, falling 781 00:44:44,760 --> 00:44:51,440 Speaker 1: just short of the Hakka, Bangladesh. Yeah so so, but 782 00:44:51,520 --> 00:44:54,440 Speaker 1: how did he get into business of designing dorm buildings? 783 00:44:54,480 --> 00:44:57,040 Speaker 1: Like what inspired him? It sounds like if you if 784 00:44:57,040 --> 00:44:58,680 Speaker 1: you have the money to be like I'm going to 785 00:44:58,800 --> 00:45:01,799 Speaker 1: design this, you might it was like a different like 786 00:45:01,840 --> 00:45:06,480 Speaker 1: in movie theater or like an exciting right. I think 787 00:45:06,520 --> 00:45:11,120 Speaker 1: he truly believes that he has this like vision that 788 00:45:11,239 --> 00:45:13,880 Speaker 1: is going to shift the paradigm of design, because again 789 00:45:14,360 --> 00:45:16,759 Speaker 1: I think as it relates to his wealth, you're the 790 00:45:16,880 --> 00:45:20,360 Speaker 1: right hand of like Warren Buffett, the Wizard of Omaha, 791 00:45:21,000 --> 00:45:23,600 Speaker 1: and I'm sure in your mind, you're starting to get 792 00:45:23,600 --> 00:45:25,640 Speaker 1: to be like, man, like I can't lose. I haven't 793 00:45:25,680 --> 00:45:29,360 Speaker 1: made a bad financial decision in like eight straight years 794 00:45:29,719 --> 00:45:34,640 Speaker 1: because the building design, because he's probably doing the thing 795 00:45:34,719 --> 00:45:36,799 Speaker 1: that all Americans get to do when they get rich 796 00:45:36,840 --> 00:45:39,319 Speaker 1: at which is rewrite their story so that every one 797 00:45:39,320 --> 00:45:43,440 Speaker 1: of those financial victories was like an underdog story that 798 00:45:43,520 --> 00:45:46,800 Speaker 1: they just like pulled out because they're a genius, instead 799 00:45:46,840 --> 00:45:50,000 Speaker 1: of like, yeah, you started out working for Warren Buffett, 800 00:45:50,040 --> 00:45:52,680 Speaker 1: built up enough wealth that you were able to take 801 00:45:52,719 --> 00:45:55,879 Speaker 1: advantage of a rigged system over and over again. But 802 00:45:55,920 --> 00:45:58,839 Speaker 1: and also yeah, desperate, the desperation of you know, fight 803 00:45:58,960 --> 00:46:01,799 Speaker 1: like educational and stitutions because they're like these on these 804 00:46:02,160 --> 00:46:05,520 Speaker 1: ridiculous profit models where they're like they're courting money to 805 00:46:05,600 --> 00:46:07,479 Speaker 1: be like, yeah, we got to improve this. I guess 806 00:46:07,560 --> 00:46:11,239 Speaker 1: we'll let this fucking idiot be like, hey man, I 807 00:46:11,320 --> 00:46:13,880 Speaker 1: got these ideas. I'm the next book in Frank Lloyd, Right, 808 00:46:13,920 --> 00:46:16,440 Speaker 1: I got a billion dollars. You're like great. And then 809 00:46:16,480 --> 00:46:20,120 Speaker 1: as back to that thing about McFadden, the architect that resigned, 810 00:46:20,160 --> 00:46:23,520 Speaker 1: he was just like very just straightforward points out too, 811 00:46:23,960 --> 00:46:28,360 Speaker 1: He's like also the university provided no justification for ignoring 812 00:46:28,680 --> 00:46:32,440 Speaker 1: well established research that natural light and views of the 813 00:46:32,520 --> 00:46:36,840 Speaker 1: outdoors are vital to healthy living. But they were just 814 00:46:36,880 --> 00:46:40,080 Speaker 1: saying like, well, the thing is we're bound to Monger's 815 00:46:40,160 --> 00:46:44,160 Speaker 1: vision because that's the agreement. And this is in America. 816 00:46:44,480 --> 00:46:47,879 Speaker 1: The argument against taxing billionaires is they do so much 817 00:46:47,920 --> 00:46:51,600 Speaker 1: good though, like when they donate like the Lango Medical 818 00:46:51,680 --> 00:46:55,319 Speaker 1: Center Ken Lango and the guy behind home Depot, like 819 00:46:55,400 --> 00:47:00,120 Speaker 1: he did that and just because he also ran three 820 00:47:00,200 --> 00:47:02,680 Speaker 1: day of his life just because he was racist and 821 00:47:02,880 --> 00:47:05,640 Speaker 1: demands that we let him do every third open heart 822 00:47:05,640 --> 00:47:08,719 Speaker 1: surgery until he gets good at it has nothing to 823 00:47:08,760 --> 00:47:12,799 Speaker 1: do with the you know, it's like it's free money, man, 824 00:47:12,880 --> 00:47:16,600 Speaker 1: free money. But I just saw Patch Adams. Man. I 825 00:47:16,600 --> 00:47:19,920 Speaker 1: could do that. Man, I could be a pediatrician. I 826 00:47:19,960 --> 00:47:22,120 Speaker 1: can get I can get laughs from kids. Do I 827 00:47:22,160 --> 00:47:24,040 Speaker 1: have any medical train No? But I have a billion 828 00:47:24,080 --> 00:47:27,400 Speaker 1: dollars and you're funding is dire, So what's it going 829 00:47:27,440 --> 00:47:31,000 Speaker 1: to be? It is really like what just I don't 830 00:47:31,000 --> 00:47:33,000 Speaker 1: know that that's something that we should like do a 831 00:47:33,800 --> 00:47:37,399 Speaker 1: whole series on. Is it's just like people thinking that 832 00:47:38,040 --> 00:47:41,480 Speaker 1: their skills at one thing will translate to something else, 833 00:47:41,560 --> 00:47:46,360 Speaker 1: and just how the Dunning Krueger cast. Yeah, it almost 834 00:47:46,440 --> 00:47:50,239 Speaker 1: never ever becomes like somebody show on Twitter tagging in 835 00:47:50,280 --> 00:47:53,120 Speaker 1: the video of DJ Khaled playing a guitar that he 836 00:47:53,640 --> 00:47:57,160 Speaker 1: did from the Bob Marley thing, and they're like, Yo, 837 00:47:57,239 --> 00:47:59,040 Speaker 1: what's your take on this? And I looked at dude, 838 00:47:59,120 --> 00:48:01,960 Speaker 1: DJ Kaled up play a fucking guitar and he's like, Yo, 839 00:48:02,080 --> 00:48:05,239 Speaker 1: thank you so much. Gang gang Gang Gang Gang, Like 840 00:48:05,640 --> 00:48:08,239 Speaker 1: no chrd nothing, it's out of tune. He's just like 841 00:48:08,320 --> 00:48:12,680 Speaker 1: open strumming, but then like half touching the threats and 842 00:48:13,080 --> 00:48:17,160 Speaker 1: he was acting like he was fucking like Bunny Whayler 843 00:48:17,280 --> 00:48:19,759 Speaker 1: or some ship, you know what I mean, Like, what 844 00:48:19,800 --> 00:48:23,200 Speaker 1: the funk? This man is dead ass serious, looking to 845 00:48:23,239 --> 00:48:25,759 Speaker 1: the camera like he's given people the performance of his life. 846 00:48:26,040 --> 00:48:29,160 Speaker 1: And I'm like, this Dunning Krueger guitar solo right here. 847 00:48:29,560 --> 00:48:31,920 Speaker 1: He truly again, he's like I can't lose when it 848 00:48:31,960 --> 00:48:34,839 Speaker 1: comes to music, even if I quite literally don't know 849 00:48:34,840 --> 00:48:39,879 Speaker 1: how to play this instrument. Also, like, at what point 850 00:48:39,920 --> 00:48:44,839 Speaker 1: in your life you're supposed to stop trying new things? Right, 851 00:48:45,080 --> 00:48:48,000 Speaker 1: at least enough to know to respect the outside opinion. 852 00:48:49,640 --> 00:48:51,319 Speaker 1: I feel like you could do a whole show and like, 853 00:48:51,480 --> 00:48:55,040 Speaker 1: you know, I'm fascinated with the architecture in Dubai. And 854 00:48:55,080 --> 00:48:57,560 Speaker 1: like there's this one like YouTube channel where like like 855 00:48:57,760 --> 00:49:01,600 Speaker 1: city planners or architects just just stroying good bye, like 856 00:49:01,960 --> 00:49:05,560 Speaker 1: this place makes no fucking sense at all. Like they're like, 857 00:49:05,640 --> 00:49:08,279 Speaker 1: first of all, look at where this like just like 858 00:49:08,360 --> 00:49:11,240 Speaker 1: the most basic things they're pointing out. You're like, damn, 859 00:49:11,480 --> 00:49:13,960 Speaker 1: But again you're talking to people who are so fucking wealthy, 860 00:49:14,280 --> 00:49:15,960 Speaker 1: and their whole thing is like We're gonna have the 861 00:49:15,960 --> 00:49:19,920 Speaker 1: biggest sky piercing, fhallic building on Earth. I don't give 862 00:49:19,960 --> 00:49:23,680 Speaker 1: a shit about sustainability or building practices. Then you get 863 00:49:23,680 --> 00:49:27,200 Speaker 1: these like weird, half thought out places that are just 864 00:49:27,239 --> 00:49:29,799 Speaker 1: being like this thing is gonna be like just a 865 00:49:29,840 --> 00:49:33,720 Speaker 1: total disaster in a few years. Yeah, when my wife 866 00:49:33,760 --> 00:49:37,080 Speaker 1: was a medical school at Missoo, and it was around 867 00:49:37,080 --> 00:49:40,839 Speaker 1: the time that they were opening this new arena that 868 00:49:41,120 --> 00:49:45,160 Speaker 1: was gifted to them by the Waltons, you know, the 869 00:49:45,320 --> 00:49:50,680 Speaker 1: Walmart airs, and they named it after their daughter. I 870 00:49:50,719 --> 00:49:56,080 Speaker 1: forget what her name was, but like Cassidy Sports Arena, 871 00:49:56,440 --> 00:49:58,680 Speaker 1: and like right as they're about to open it, her 872 00:49:59,000 --> 00:50:01,480 Speaker 1: like somebody came out. She was like still like she 873 00:50:01,520 --> 00:50:05,560 Speaker 1: had graduated college two years before and somebody came out 874 00:50:05,680 --> 00:50:07,960 Speaker 1: was like, yeah, I wrote all her papers for her. 875 00:50:08,080 --> 00:50:11,960 Speaker 1: She just to write all her papers for her and 876 00:50:12,120 --> 00:50:14,759 Speaker 1: she didn't even go to Miszoo. So already it was like, 877 00:50:14,800 --> 00:50:17,960 Speaker 1: what the funk are Yalla? What? Yeah? It's wild man 878 00:50:18,200 --> 00:50:22,480 Speaker 1: d people had too much money, too much money. Yeah, yeah, 879 00:50:22,600 --> 00:50:25,560 Speaker 1: but god forbid, they actually just fucking pay their taxes 880 00:50:25,600 --> 00:50:29,160 Speaker 1: and we're able to know on the basketball arena after 881 00:50:29,200 --> 00:50:32,800 Speaker 1: my newly graduated daughter from a different school. Yeah, alright, 882 00:50:32,880 --> 00:50:36,040 Speaker 1: let's talk about the squid game. Moral panic, I have 883 00:50:36,480 --> 00:50:39,000 Speaker 1: finished squid game. Miles, you have finished squid Game. We're 884 00:50:39,040 --> 00:50:41,279 Speaker 1: going to talk about it on a future episode. But 885 00:50:41,480 --> 00:50:44,399 Speaker 1: friendis like gang who are kind of muddling their way 886 00:50:44,440 --> 00:50:47,160 Speaker 1: through the next couple of days. We're gonna we're gonna 887 00:50:47,200 --> 00:50:50,040 Speaker 1: do a dive into our feelings on squid games. So 888 00:50:50,840 --> 00:50:54,200 Speaker 1: you know, I haven't watched it. Sorry, Yeah, no, we're 889 00:50:54,320 --> 00:50:56,600 Speaker 1: we're gonna we're gonna hold it. We're gonna give them 890 00:50:56,640 --> 00:50:59,880 Speaker 1: fair warning, let them up. There's no a spoiler for 891 00:51:00,160 --> 00:51:03,360 Speaker 1: This is discussion of the show, and you you have 892 00:51:03,440 --> 00:51:07,520 Speaker 1: a basic understanding of the show, right, m Okay, No, 893 00:51:07,880 --> 00:51:11,720 Speaker 1: I don't sorry, okay, do you know anything about people 894 00:51:11,760 --> 00:51:14,280 Speaker 1: have I don't know. I don't well, I know people 895 00:51:14,480 --> 00:51:17,919 Speaker 1: like it, right, and I think it at all for yeah, 896 00:51:17,960 --> 00:51:22,200 Speaker 1: many reasons. It's it's a very like, you know, violent 897 00:51:22,360 --> 00:51:26,560 Speaker 1: but poignant like critique on capitalism and things like that, 898 00:51:26,760 --> 00:51:30,680 Speaker 1: and just and I think because of the current tone 899 00:51:30,719 --> 00:51:33,440 Speaker 1: on Earth, it's just become the most popular show ever 900 00:51:33,600 --> 00:51:36,880 Speaker 1: that Netflix has had. And I think now and just 901 00:51:37,000 --> 00:51:39,759 Speaker 1: generally now because like you're saying, like, even you, as 902 00:51:39,760 --> 00:51:41,800 Speaker 1: someone who hasn't seen it, like you have an idea, 903 00:51:41,880 --> 00:51:44,640 Speaker 1: because there's just so many memes and articles that just 904 00:51:44,640 --> 00:51:48,160 Speaker 1: by osmosis, you probably have a general idea. So the 905 00:51:48,239 --> 00:51:52,840 Speaker 1: ultimate sign that it has become important in the culture 906 00:51:52,880 --> 00:51:56,320 Speaker 1: is that it has created a moral panic across the globe. 907 00:51:56,840 --> 00:52:00,000 Speaker 1: So people are up in arms, parents in particular, because 908 00:52:00,080 --> 00:52:03,279 Speaker 1: is there's evidence of kids imitating the games from the 909 00:52:03,280 --> 00:52:06,799 Speaker 1: show in real life, which would be a little bit 910 00:52:06,800 --> 00:52:11,640 Speaker 1: more concerning if they weren't all literally schoolyard games for 911 00:52:11,760 --> 00:52:15,040 Speaker 1: children like that. The point of the show is that 912 00:52:15,120 --> 00:52:20,000 Speaker 1: they make these contestants play schoolyard games for children and 913 00:52:21,000 --> 00:52:25,640 Speaker 1: the stakes are you died? But yeah, everywhere from Canada 914 00:52:25,719 --> 00:52:30,000 Speaker 1: to the UK to Australia. This is apparently considered a problem, 915 00:52:30,080 --> 00:52:34,399 Speaker 1: and it's really amazing that, like it's a it's really 916 00:52:34,440 --> 00:52:36,680 Speaker 1: having to bend over backwards to come up with a 917 00:52:36,719 --> 00:52:39,560 Speaker 1: reason to be offended by this show, right, Is it 918 00:52:39,640 --> 00:52:42,879 Speaker 1: because they're like I mean, because they I'm presuming they 919 00:52:42,880 --> 00:52:46,040 Speaker 1: don't have firearms like in the TV show. No, there's 920 00:52:46,080 --> 00:52:49,480 Speaker 1: just like playing the game. Like one kid came home 921 00:52:49,480 --> 00:52:51,879 Speaker 1: and like told their mom that, like people were saying 922 00:52:51,880 --> 00:52:54,719 Speaker 1: they were playing squid game games on the playground and 923 00:52:54,800 --> 00:52:57,239 Speaker 1: the mom was like terrified, But squid game games are 924 00:52:57,320 --> 00:53:00,839 Speaker 1: red light green light like and fucking mark. Like, it's 925 00:53:00,880 --> 00:53:04,759 Speaker 1: not it's games that I played in gym class, Like, 926 00:53:04,960 --> 00:53:07,960 Speaker 1: there's not like fashion a shift out of a popsicle 927 00:53:08,040 --> 00:53:10,680 Speaker 1: stick and buck fifty your classmate, Like, that's not a 928 00:53:10,920 --> 00:53:14,760 Speaker 1: screen game? What there was One example of Belgian school 929 00:53:14,960 --> 00:53:18,480 Speaker 1: issued a warning because a student said they were playing 930 00:53:18,880 --> 00:53:21,480 Speaker 1: the game and then punching each other, punching the person 931 00:53:21,560 --> 00:53:25,719 Speaker 1: who lost, which again not great, but again a thing 932 00:53:25,800 --> 00:53:28,680 Speaker 1: that all kids do like and have done since the 933 00:53:28,680 --> 00:53:32,000 Speaker 1: beginning of time. Elementary schools in New York State are 934 00:53:32,120 --> 00:53:36,120 Speaker 1: banning squid game costumes from their Halloween celebration because of 935 00:53:36,160 --> 00:53:42,120 Speaker 1: the violent message aligned with the costume which I I 936 00:53:42,280 --> 00:53:45,000 Speaker 1: dressed like. I talked about this on an episode last week. 937 00:53:45,040 --> 00:53:47,920 Speaker 1: I dressed as fucking like somebody who had been murdered 938 00:53:48,040 --> 00:53:56,239 Speaker 1: basically every day for every Halloween costume, like the characters 939 00:53:56,280 --> 00:53:59,279 Speaker 1: for movies. Well, here's the thing. I think, this is 940 00:53:59,320 --> 00:54:02,000 Speaker 1: the thing, right, that's a part of the American psyche. 941 00:54:02,080 --> 00:54:04,640 Speaker 1: You can't look at a soldier and think of foreign 942 00:54:04,760 --> 00:54:07,799 Speaker 1: policy and imperialism. You look at that and you go, 943 00:54:08,000 --> 00:54:10,640 Speaker 1: that's a job. That's an army guy. Yeah. But then 944 00:54:10,880 --> 00:54:14,080 Speaker 1: because I have no concept for these other things yet. Yeah, 945 00:54:14,120 --> 00:54:16,000 Speaker 1: it's just it's just funny that with the squid game, 946 00:54:16,040 --> 00:54:20,040 Speaker 1: it's like the violence, I mean the like the other 947 00:54:20,320 --> 00:54:23,759 Speaker 1: meme that is was taking people by storm this Halloween 948 00:54:23,960 --> 00:54:28,560 Speaker 1: was a bunch of memes of young children hugging Michael Myers, 949 00:54:28,560 --> 00:54:32,040 Speaker 1: Like that was one of like, yeah, Michael Myers from Halloween. 950 00:54:32,200 --> 00:54:35,160 Speaker 1: There are a bunch of viral videos of like adorable, 951 00:54:35,320 --> 00:54:39,360 Speaker 1: this kid is hugging Michael Myers, who, just to reiterate, 952 00:54:39,480 --> 00:54:43,279 Speaker 1: is only famous as a character who butcher knife teenagers 953 00:54:43,320 --> 00:54:46,359 Speaker 1: to death. Oh he's not a he's not a child 954 00:54:46,440 --> 00:54:53,399 Speaker 1: development specialists, right, And misunderstood preschool teacher. And to your 955 00:54:53,400 --> 00:54:58,200 Speaker 1: point about about soldiers, I you know, people are acting 956 00:54:58,239 --> 00:55:02,840 Speaker 1: like this is unprecedented that like adult culture, like adult 957 00:55:02,920 --> 00:55:07,799 Speaker 1: violent culture, would trickle down to children. I grew up 958 00:55:07,840 --> 00:55:12,640 Speaker 1: watching Rambo The Force of Freedom, which was a cartoon 959 00:55:13,280 --> 00:55:17,040 Speaker 1: in which like where the in which the protagonist was Rambo, 960 00:55:17,239 --> 00:55:20,960 Speaker 1: the character from R rated movies who like just murders 961 00:55:20,960 --> 00:55:24,200 Speaker 1: people where there's like a body count of thousands. So 962 00:55:25,120 --> 00:55:27,520 Speaker 1: you know, I think I think this is a real 963 00:55:27,680 --> 00:55:31,120 Speaker 1: double standard where, you know, I think people would be 964 00:55:31,360 --> 00:55:34,680 Speaker 1: less concerned about this if all these things weren't attached 965 00:55:34,719 --> 00:55:38,520 Speaker 1: to a show that is a critique of late stage 966 00:55:38,560 --> 00:55:41,920 Speaker 1: capitalism that's pretty poignant, you know. Is it also because 967 00:55:41,920 --> 00:55:46,759 Speaker 1: it's not American? Maybe? Well yeah, I think probably look 968 00:55:47,120 --> 00:55:49,440 Speaker 1: yell with America, there's all I would always been on 969 00:55:49,520 --> 00:55:53,360 Speaker 1: the N phobia big time when whenever, if that's an option. 970 00:55:54,040 --> 00:55:55,920 Speaker 1: But yeah, I mean I think that's what's really interesting 971 00:55:56,000 --> 00:55:58,120 Speaker 1: is like like you're saying like there were kids who 972 00:55:58,160 --> 00:56:01,240 Speaker 1: like looked like they had like a fun getting sob 973 00:56:01,239 --> 00:56:04,560 Speaker 1: blade in their fucking head and they're like taking a 974 00:56:04,800 --> 00:56:07,480 Speaker 1: spelling test and like, oh that's cute, And that's what 975 00:56:07,520 --> 00:56:11,160 Speaker 1: I'm really curious what exactly are they saying, like where's 976 00:56:11,200 --> 00:56:14,120 Speaker 1: the consistency if they're even able to articulate it, or 977 00:56:14,480 --> 00:56:17,120 Speaker 1: because on some level, I do also just count on 978 00:56:17,320 --> 00:56:19,880 Speaker 1: some school people to just be like not really know 979 00:56:19,920 --> 00:56:21,840 Speaker 1: what the show is about. They just heard like like, 980 00:56:21,840 --> 00:56:24,560 Speaker 1: oh my god, it's so violent, and then they's like 981 00:56:24,600 --> 00:56:27,759 Speaker 1: that's not good for kids, and then that being the 982 00:56:27,800 --> 00:56:31,400 Speaker 1: only reason without then taking the thought experiment further to 983 00:56:31,440 --> 00:56:36,000 Speaker 1: be like, I guess that Derek Chauvin costume was okay 984 00:56:36,040 --> 00:56:40,160 Speaker 1: from those other kids like yeah, and I mean this 985 00:56:40,280 --> 00:56:43,520 Speaker 1: is this is also like parents being outraged about something 986 00:56:43,600 --> 00:56:47,920 Speaker 1: that is popular, like is an age old tradition around 987 00:56:47,920 --> 00:56:51,520 Speaker 1: the world from comic books. There's like a gay panic 988 00:56:51,560 --> 00:56:55,799 Speaker 1: around comic books, video games, Dungeons and Dragons to the 989 00:56:55,840 --> 00:56:59,640 Speaker 1: works of Charles Dickens. Victorians worried that racy novels were 990 00:56:59,640 --> 00:57:01,960 Speaker 1: causing children to grow up too fast, I'm robbing them 991 00:57:02,000 --> 00:57:05,440 Speaker 1: of their childhood and it was you know, they just 992 00:57:05,480 --> 00:57:09,440 Speaker 1: wanted them to read the Bible and not right, Charles Dickens, 993 00:57:09,480 --> 00:57:14,359 Speaker 1: that was pretty violent, so exactly my Bible. I don't 994 00:57:14,360 --> 00:57:18,640 Speaker 1: know about the New test Oh yeah, yeah, it's oh 995 00:57:18,800 --> 00:57:21,560 Speaker 1: you gotta check out the New Testament if you like violence. 996 00:57:21,800 --> 00:57:27,000 Speaker 1: They're some freaky ship towards the end, real freaky ship 997 00:57:27,040 --> 00:57:29,120 Speaker 1: towards the end. But you know, I just let the 998 00:57:29,200 --> 00:57:32,720 Speaker 1: kids play, you know, just I remember my school they 999 00:57:32,720 --> 00:57:36,720 Speaker 1: tried to ban like west Side connection really yeah, because 1000 00:57:36,720 --> 00:57:38,800 Speaker 1: they're like but that's more I think racist too, that 1001 00:57:39,080 --> 00:57:42,720 Speaker 1: we don't understand doing black stuff, because I was famously 1002 00:57:42,760 --> 00:57:45,120 Speaker 1: reprimanded for throwing up west Side in a class photo. 1003 00:57:45,840 --> 00:57:49,440 Speaker 1: Oh right, front of everyone, tore up the picture, but 1004 00:57:49,480 --> 00:57:52,200 Speaker 1: front of God and everyone, front of God and everyone, 1005 00:57:52,280 --> 00:57:54,040 Speaker 1: And I say, you know what, God is a o 1006 00:57:54,240 --> 00:57:56,880 Speaker 1: G and he holds it down for the west Side. 1007 00:57:57,800 --> 00:58:01,240 Speaker 1: Uh well, yeah, it's couldn't such a pleasure having you. Yeah, 1008 00:58:01,280 --> 00:58:02,880 Speaker 1: and now I want to watch the show. I will 1009 00:58:02,920 --> 00:58:07,360 Speaker 1: watch them nice. Where can people find you and follow you? Well? 1010 00:58:07,480 --> 00:58:11,280 Speaker 1: As I said, I'm no longer on Instagram or Facebook, 1011 00:58:11,520 --> 00:58:15,040 Speaker 1: but I'm still on Twitter. It's the healthy food of 1012 00:58:15,080 --> 00:58:20,640 Speaker 1: social networks, right, Yeah, I'm just not very active, but 1013 00:58:20,840 --> 00:58:24,360 Speaker 1: I am still there. I'm at even or so it's 1014 00:58:24,360 --> 00:58:27,360 Speaker 1: just my name in a row. That's not a lot 1015 00:58:27,400 --> 00:58:30,160 Speaker 1: of ye even or out there. I don't think. Yeah, 1016 00:58:30,760 --> 00:58:33,000 Speaker 1: and is there a tweet or some other work of 1017 00:58:33,160 --> 00:58:36,480 Speaker 1: social media you've been enjoying. Yeah, I well, I don't 1018 00:58:36,520 --> 00:58:39,640 Speaker 1: know I've been enjoying. But this tweet, it's really their 1019 00:58:39,640 --> 00:58:44,080 Speaker 1: responses to that tweet. It's someone I tweeted the other day. 1020 00:58:44,560 --> 00:58:47,720 Speaker 1: I think. I think this user is like eighteen according 1021 00:58:47,760 --> 00:58:50,800 Speaker 1: to their bio, and they tweeted I done to COVID 1022 00:58:50,840 --> 00:58:53,920 Speaker 1: tests and I'm negative, but I feel so ill and cold. 1023 00:58:54,840 --> 00:58:58,520 Speaker 1: WTF anyone else had this? And then everyone is just 1024 00:58:58,600 --> 00:59:03,280 Speaker 1: like just bashing her for like whatever happens a common cold, 1025 00:59:03,360 --> 00:59:05,520 Speaker 1: Like people think God that it exists, like r ip 1026 00:59:05,680 --> 00:59:07,919 Speaker 1: common cold, and it's really funny. It's just like eight 1027 00:59:07,960 --> 00:59:10,880 Speaker 1: hundred like cold tweets, and she's like, l O L. 1028 00:59:11,040 --> 00:59:14,200 Speaker 1: Didn't expect that reaction. I guess it is called like 1029 00:59:14,400 --> 00:59:16,960 Speaker 1: it's just it's kind of true. Like I remember the 1030 00:59:17,000 --> 00:59:19,360 Speaker 1: beginning of the pandemic that it was more like, you know, 1031 00:59:19,400 --> 00:59:20,680 Speaker 1: I would talk to my mom and I'm like, are 1032 00:59:20,680 --> 00:59:22,440 Speaker 1: you being careful? Because I would hear a cough and 1033 00:59:22,480 --> 00:59:25,480 Speaker 1: she's like people coughed before coffee just relaxed. But now 1034 00:59:25,520 --> 00:59:27,800 Speaker 1: it's just kind of like I did the same thing. 1035 00:59:27,880 --> 00:59:30,160 Speaker 1: Like every time I feel slightly ill, I'm just like 1036 00:59:30,200 --> 00:59:34,160 Speaker 1: I have COVID. Yeah, it happens, miles. Where can people 1037 00:59:34,200 --> 00:59:36,560 Speaker 1: find you? What's the tweet you've been enjoying? Find me 1038 00:59:36,600 --> 00:59:39,560 Speaker 1: on Twitter and Instagram at Miles of Gray. Also the 1039 00:59:39,600 --> 00:59:42,880 Speaker 1: other show four twenty Day Fiance where we're talking ninety 1040 00:59:43,000 --> 00:59:47,560 Speaker 1: day fiance age with Sophia Alexandra. So come through with that, man. 1041 00:59:47,600 --> 00:59:50,600 Speaker 1: There's been so many good tweets. Where do I even begin? 1042 00:59:51,000 --> 00:59:55,280 Speaker 1: Let's start with this one. This is from at Nurse Chalks. 1043 00:59:55,360 --> 00:59:58,320 Speaker 1: C H O c s tweeted, I love irregular textures 1044 00:59:58,400 --> 01:00:01,160 Speaker 1: because there's a mutual understanding. But tweet us that it's 1045 01:00:01,200 --> 01:00:04,360 Speaker 1: okay to text back five days later with no bad vibes. 1046 01:00:04,520 --> 01:00:09,720 Speaker 1: That that's me, baby, It's not bad vibes. Relationship with 1047 01:00:09,760 --> 01:00:12,360 Speaker 1: my phone and I don't like using it all the time. 1048 01:00:12,680 --> 01:00:16,320 Speaker 1: And then another one from Udoya past guest at Udoya 1049 01:00:16,400 --> 01:00:21,840 Speaker 1: Underscore tweeted, the plural of kid cutty is kids cutty. 1050 01:00:22,160 --> 01:00:23,880 Speaker 1: So I just want to put that out there for everybody. 1051 01:00:24,040 --> 01:00:26,560 Speaker 1: All right, it's good to know a little grammar lesson. 1052 01:00:27,280 --> 01:00:31,120 Speaker 1: Let's see you can find me on Twitter, Jack Underscore, O'Brien, 1053 01:00:31,720 --> 01:00:33,920 Speaker 1: I was enjoying a lot of the Mark Zuckerberg, you 1054 01:00:33,960 --> 01:00:39,080 Speaker 1: know responses the let's see somebody tweeted, Ben Acker tweeted 1055 01:00:39,120 --> 01:00:41,160 Speaker 1: that on to do it and then attributed that to 1056 01:00:41,360 --> 01:00:48,520 Speaker 1: Mark Zuckerberg. Yeah. Alex En tweeted a screen cap from 1057 01:00:48,560 --> 01:00:52,040 Speaker 1: the Metaverse video and said, still thinking about when Mark 1058 01:00:52,120 --> 01:00:55,680 Speaker 1: Zuckerberg said this, and then the close captioning takes a 1059 01:00:55,680 --> 01:00:58,120 Speaker 1: look like he's saying, if you die in the metaverse, 1060 01:00:58,280 --> 01:01:03,160 Speaker 1: you die in real life. And then John Merriman tweeted, Look, 1061 01:01:03,240 --> 01:01:05,240 Speaker 1: I've said it before and I'll say it again. I 1062 01:01:05,320 --> 01:01:09,120 Speaker 1: say things three times. I just like that. You can 1063 01:01:09,160 --> 01:01:11,320 Speaker 1: find us on Twitter at daily Z like guys were 1064 01:01:11,360 --> 01:01:14,040 Speaker 1: at the dailies like Geist on Instagram. We have Facebook 1065 01:01:14,040 --> 01:01:16,400 Speaker 1: fan page. On our website dailies like guys dot com, 1066 01:01:16,800 --> 01:01:20,560 Speaker 1: we post our episodes and our footnote we link off 1067 01:01:20,560 --> 01:01:22,960 Speaker 1: to the information that we talked about today is episode 1068 01:01:23,240 --> 01:01:26,360 Speaker 1: as well as a song that we think you might enjoy. Miles, 1069 01:01:26,440 --> 01:01:29,760 Speaker 1: what song do we think people might enjoy today? Man? 1070 01:01:30,080 --> 01:01:33,040 Speaker 1: I Uh, I messed up? You know I should have 1071 01:01:33,080 --> 01:01:36,520 Speaker 1: I should have suggested this song before Halloween, but I 1072 01:01:36,600 --> 01:01:39,400 Speaker 1: just want to go out on a on a spooky track. 1073 01:01:39,840 --> 01:01:44,080 Speaker 1: This is you know, Friday the thirteen, a very spooky 1074 01:01:44,120 --> 01:01:48,520 Speaker 1: track by the Latin rap god Vico. See people say 1075 01:01:48,640 --> 01:01:51,400 Speaker 1: the father reggaeton, but this is an old school track. 1076 01:01:51,520 --> 01:01:54,800 Speaker 1: I just love the production and the Spanish language rapping, 1077 01:01:55,200 --> 01:01:58,000 Speaker 1: and it's talking about Jason and Ship and it's just dope. 1078 01:01:58,080 --> 01:02:02,120 Speaker 1: This is like such a such a great retro texture sonically, 1079 01:02:02,480 --> 01:02:07,000 Speaker 1: so let's go out on by Vico C. Alright, well, 1080 01:02:07,040 --> 01:02:09,320 Speaker 1: the Daily Zaka is the production by Heart Radio from 1081 01:02:09,320 --> 01:02:12,080 Speaker 1: more podcasts for my heart Radio, visit the heart Radio app, 1082 01:02:12,080 --> 01:02:15,959 Speaker 1: Apple Podcasts or wherever podcasts are given away for free. 1083 01:02:16,000 --> 01:02:17,840 Speaker 1: That is gonna do it for us. But we're back 1084 01:02:17,920 --> 01:02:20,000 Speaker 1: this afternoon to tell you what's trending and we will 1085 01:02:20,000 --> 01:02:22,560 Speaker 1: talk to y'all then, bye bye bye