1 00:00:00,680 --> 00:00:03,720 Speaker 1: Hello the Internet, and welcome to season to sixty two, 2 00:00:03,720 --> 00:00:07,040 Speaker 1: episode three of to Day, Las Guys Day. In production 3 00:00:07,080 --> 00:00:09,760 Speaker 1: of by Heart Radio. This is a podcast where we 4 00:00:09,840 --> 00:00:15,320 Speaker 1: take a deep dive into America's shared consciousness. And it's Wednesday, 5 00:00:15,560 --> 00:00:21,959 Speaker 1: November nine two, which is our annual bi annual Schrodeger's 6 00:00:22,040 --> 00:00:26,480 Speaker 1: Cat episode where we don't know what has happened because 7 00:00:26,520 --> 00:00:30,480 Speaker 1: we're recording this before y'all are listening to it, so 8 00:00:30,960 --> 00:00:34,160 Speaker 1: you know it maybe a theocracy, the red Wave may 9 00:00:34,200 --> 00:00:38,800 Speaker 1: have not materialized. We don't know. Ye who knows, But 10 00:00:38,880 --> 00:00:42,440 Speaker 1: what we do know is eleven nine National Scrapple Day, 11 00:00:42,680 --> 00:00:46,320 Speaker 1: National Louisian. Okay, just let it put put that on 12 00:00:46,360 --> 00:00:50,920 Speaker 1: your calendar, National Scrapple Day. The and that is we 13 00:00:50,920 --> 00:00:54,240 Speaker 1: we decided that was very regional, right Yeah, I mean 14 00:00:54,240 --> 00:00:57,959 Speaker 1: we don't eat scrapple out here, that's for sure. I mean, 15 00:00:58,160 --> 00:01:00,960 Speaker 1: as a Californian, I know of s apple from people 16 00:01:01,040 --> 00:01:05,039 Speaker 1: from people further afield in the United States. Yeah, it's 17 00:01:05,080 --> 00:01:08,720 Speaker 1: a it's a Philly, South Jersey, you know, just a 18 00:01:09,080 --> 00:01:14,800 Speaker 1: waste meat extraction, a waste meat the but somehow they 19 00:01:14,920 --> 00:01:17,959 Speaker 1: normalized it in the Philly area and people are still 20 00:01:17,959 --> 00:01:21,120 Speaker 1: gobbling it down. Yeah. I love waste meat. Love waste meat, 21 00:01:21,319 --> 00:01:25,319 Speaker 1: love a good waste meat. Anyways, my name is Jack 22 00:01:25,400 --> 00:01:30,120 Speaker 1: O'Brien a k last time here before couldn't look him 23 00:01:30,120 --> 00:01:35,360 Speaker 1: in the eye. He's just so goddamn old. His skin 24 00:01:35,520 --> 00:01:40,880 Speaker 1: makes me cry. And now my boyf feder Man getting 25 00:01:40,920 --> 00:01:46,560 Speaker 1: wrecked in these ads. I want decent healthcare, just some 26 00:01:46,800 --> 00:01:53,880 Speaker 1: fucking healthcare. But I'm a freak. I'm some weird Oh 27 00:01:55,280 --> 00:01:59,840 Speaker 1: how the funk are we get Lambeau? I don't belong here. 28 00:02:00,400 --> 00:02:02,880 Speaker 1: I guess I'm just some freak, you know. I guess 29 00:02:02,880 --> 00:02:06,080 Speaker 1: I'm just some freak up on healthcare anyways. That is 30 00:02:06,120 --> 00:02:10,600 Speaker 1: courtesy of Mr Lugubrious Alexi luvia Twitter, who asked where 31 00:02:10,680 --> 00:02:12,520 Speaker 1: if you're If you're leaving Twitter, how do you how 32 00:02:12,560 --> 00:02:14,519 Speaker 1: do we do a KS? I think I'm gonna have 33 00:02:14,600 --> 00:02:17,680 Speaker 1: to join the discord. I think that's that's my next step. 34 00:02:17,760 --> 00:02:20,520 Speaker 1: I'm also not leaving Twitter. I'm gonna I'm gonna stay 35 00:02:20,520 --> 00:02:23,639 Speaker 1: in and watch it burned down around me personally. You 36 00:02:23,680 --> 00:02:28,640 Speaker 1: want to be the meme of everything's fine, Everything's fine here? Yeah, yeah, yeah. Anyways, 37 00:02:28,720 --> 00:02:30,720 Speaker 1: I'm thrilled to be joined as always by my co 38 00:02:30,919 --> 00:02:37,000 Speaker 1: host Mr Miles grag right from southern California, where the 39 00:02:37,120 --> 00:02:41,240 Speaker 1: winning Powerball ticket was sold. It's your boy, the Black 40 00:02:41,280 --> 00:02:45,400 Speaker 1: and Theese experimental visual artist, your boy Kasama who did 41 00:02:45,440 --> 00:02:48,160 Speaker 1: not win the powerball ticket. But I know where it 42 00:02:48,240 --> 00:02:50,160 Speaker 1: was sold, and we know what was sold in the 43 00:02:50,160 --> 00:02:53,480 Speaker 1: area place I'm I've seen before, I've driven past in 44 00:02:53,560 --> 00:02:55,640 Speaker 1: my life, and it's so funny. This morning, I was like, 45 00:02:55,639 --> 00:02:57,480 Speaker 1: what if I bought it in one and I was 46 00:02:57,520 --> 00:02:59,200 Speaker 1: I was trying to think of how long ago, without 47 00:02:59,200 --> 00:03:02,920 Speaker 1: telling anybody I actually wanted. Well, now you're teasing. It 48 00:03:02,960 --> 00:03:05,239 Speaker 1: seems like you're teasing that you did buy it and win. 49 00:03:05,400 --> 00:03:09,919 Speaker 1: I mean, I don't know. We shall see this. That's 50 00:03:09,960 --> 00:03:12,840 Speaker 1: not the only thing we don't know today. We don't 51 00:03:12,880 --> 00:03:15,880 Speaker 1: know who won as of I just hope it's like 52 00:03:15,919 --> 00:03:20,520 Speaker 1: a VC, a venture capital fund that bought like three 53 00:03:20,560 --> 00:03:24,720 Speaker 1: hundred thousand tickets just snatched. That's who I want to 54 00:03:24,760 --> 00:03:28,120 Speaker 1: see a win for. Anyways, Miles, we are thrilled to 55 00:03:28,240 --> 00:03:31,160 Speaker 1: be joined once again in our third and fourth seat 56 00:03:31,160 --> 00:03:35,400 Speaker 1: by two of the most brilliant hosts doing it in podcasting, 57 00:03:35,800 --> 00:03:38,720 Speaker 1: the audio arts, among many other things. They're the host 58 00:03:38,840 --> 00:03:42,360 Speaker 1: of the truly great award winning podcast The Stoop. It's 59 00:03:42,440 --> 00:03:48,680 Speaker 1: Lela Day and Hannah Bah bah you guys, Hey, hello, hello, 60 00:03:49,720 --> 00:03:53,680 Speaker 1: are here? You are here? Thank you for having us again? Yes, 61 00:03:53,880 --> 00:03:57,320 Speaker 1: thank you for being on Wild whilst I am here. Well, 62 00:03:57,360 --> 00:04:01,040 Speaker 1: that's I'm glad we're talking before you duckt Miles. Last 63 00:04:01,080 --> 00:04:04,000 Speaker 1: time you said there are there any episodes that Miles 64 00:04:04,040 --> 00:04:06,120 Speaker 1: won't be on? Could we come on that just to 65 00:04:06,160 --> 00:04:10,160 Speaker 1: get our get our feet wet, make sure we're up 66 00:04:10,200 --> 00:04:12,360 Speaker 1: to it. How are y'all doing the Where are you? 67 00:04:12,560 --> 00:04:16,640 Speaker 1: Where are you coming to us from today? Calie in California? 68 00:04:16,839 --> 00:04:19,880 Speaker 1: Both of us in California. I am in the north 69 00:04:20,200 --> 00:04:27,360 Speaker 1: in the Bay Area, the area, and I'm in l A. Okay, 70 00:04:27,560 --> 00:04:30,560 Speaker 1: And it's another candidate, another candidate who may have bought 71 00:04:30,600 --> 00:04:34,960 Speaker 1: the powerball ticket. We we don't know. We were waiting. 72 00:04:35,240 --> 00:04:42,120 Speaker 1: I'm waiting. Yeah, I'm also not telling whether I bought it. 73 00:04:42,320 --> 00:04:44,360 Speaker 1: So do you think okay? I mean, obviously we didn't 74 00:04:44,360 --> 00:04:47,320 Speaker 1: win it, But how long do you think speak for yourself? 75 00:04:47,440 --> 00:04:50,640 Speaker 1: What would okay, fine thought experiment Jack, in case you 76 00:04:50,640 --> 00:04:53,920 Speaker 1: want it or anyone? What would your strategy if you 77 00:04:54,000 --> 00:04:57,920 Speaker 1: won that two billion? Would you be husha by about 78 00:04:57,960 --> 00:05:00,080 Speaker 1: it and get everything in order, get rid of it 79 00:05:00,240 --> 00:05:02,400 Speaker 1: so before anybody can hit you up for anything like 80 00:05:02,440 --> 00:05:04,120 Speaker 1: I gave so much of it away, I'm sorry, there's 81 00:05:04,120 --> 00:05:06,240 Speaker 1: no more money there, or how would you go about it? 82 00:05:06,240 --> 00:05:08,720 Speaker 1: Because I think every person does this has the thing 83 00:05:08,760 --> 00:05:10,120 Speaker 1: like what would I do if I want? I'm more 84 00:05:10,160 --> 00:05:12,680 Speaker 1: interested in, like the mechanics of winning and who you 85 00:05:12,720 --> 00:05:15,320 Speaker 1: tell or don't tell? What you do with it? Yeah, 86 00:05:15,600 --> 00:05:17,279 Speaker 1: I would be hush a by just because I like 87 00:05:17,360 --> 00:05:20,240 Speaker 1: that phrase. I would be okay, hushaby like husha by. Yeah, 88 00:05:20,279 --> 00:05:23,920 Speaker 1: I would be hush hush too, definitely hush Yeah. What 89 00:05:24,000 --> 00:05:28,359 Speaker 1: would you do? I'm thinking I probably would tell the 90 00:05:28,400 --> 00:05:33,080 Speaker 1: world and then regret it the next day, come out 91 00:05:33,080 --> 00:05:36,680 Speaker 1: the woodwork. But that first day, that first day I 92 00:05:36,680 --> 00:05:41,400 Speaker 1: got to tell people on Twitter but elsewhere and my 93 00:05:41,480 --> 00:05:46,880 Speaker 1: what's up chance? All the family and Africa, they're gonna know, 94 00:05:48,000 --> 00:05:50,440 Speaker 1: They're gonna want to share, and then the next day 95 00:05:50,520 --> 00:05:54,360 Speaker 1: I'll regret it. Right. I think California has a lot 96 00:05:54,480 --> 00:05:58,480 Speaker 1: that you have to say. You have to name yourself 97 00:05:58,720 --> 00:06:02,080 Speaker 1: camp being anonymous. I don't think you can be anonymous. 98 00:06:02,160 --> 00:06:05,239 Speaker 1: I think if you if you buy the ticket through 99 00:06:05,520 --> 00:06:08,560 Speaker 1: I think that's right that might I think I did 100 00:06:08,880 --> 00:06:11,880 Speaker 1: very lazy research on this one time, the one time 101 00:06:11,880 --> 00:06:15,400 Speaker 1: that we bought the powerball ticket. Oh no, yeah, you 102 00:06:15,520 --> 00:06:18,800 Speaker 1: gotta reveal yourself. Yeah, you gotta reveal yourself the one 103 00:06:18,839 --> 00:06:21,640 Speaker 1: time before this time when I may or may not 104 00:06:21,720 --> 00:06:27,160 Speaker 1: have bought about alien Yeah right, I'm probably I'm going 105 00:06:27,279 --> 00:06:29,240 Speaker 1: to wear the masks and stuff they go on and 106 00:06:29,240 --> 00:06:38,960 Speaker 1: they wearing masks. My name, isn't that attention? Yeah? Beat Macromay, 107 00:06:39,080 --> 00:06:40,720 Speaker 1: Yeah that's what That's what I would say, is my name? 108 00:06:41,360 --> 00:06:43,520 Speaker 1: All right, Well, we are going to get to know 109 00:06:43,600 --> 00:06:45,680 Speaker 1: you both a little bit better at a moment. First, 110 00:06:45,720 --> 00:06:48,040 Speaker 1: we are going to talk about what we do know 111 00:06:48,440 --> 00:06:53,560 Speaker 1: about election Day so far, which is yesterday just fuckery. 112 00:06:53,680 --> 00:06:55,960 Speaker 1: We know there was some fuckery, Yeah, attempts at it 113 00:06:56,000 --> 00:06:58,640 Speaker 1: for sure. I'm gonna I'm gonna ask you if it's 114 00:06:58,680 --> 00:07:02,840 Speaker 1: time for a meat a social media blackout around election 115 00:07:02,920 --> 00:07:06,479 Speaker 1: day like other countries have. And then we're just going 116 00:07:06,520 --> 00:07:10,160 Speaker 1: to dive into stupid stuff like movie theater candy. I mean, 117 00:07:10,200 --> 00:07:14,640 Speaker 1: it's not stupid. Actually, it's an important stuff forever drops 118 00:07:14,640 --> 00:07:17,000 Speaker 1: in two days. It's important what we're going to be 119 00:07:17,040 --> 00:07:19,960 Speaker 1: eating at the movie theaters. But before we get to 120 00:07:20,000 --> 00:07:22,800 Speaker 1: any of it. We do like to ask our guests, 121 00:07:23,000 --> 00:07:29,440 Speaker 1: what is something from your search history? You know? You know. 122 00:07:30,000 --> 00:07:33,720 Speaker 1: I was right this morning digg into my search history 123 00:07:33,840 --> 00:07:36,160 Speaker 1: and the one of the last things I searched was 124 00:07:36,280 --> 00:07:39,840 Speaker 1: can an egg fry on the sidewalk? Oh? Yeah, right? 125 00:07:39,880 --> 00:07:41,760 Speaker 1: Because I grew up in Las Vegas and I always 126 00:07:41,760 --> 00:07:43,720 Speaker 1: would tell people, I kind of brag about it, like, yeah, 127 00:07:43,800 --> 00:07:45,360 Speaker 1: we can fry eggs on the sidewalk. We can fry 128 00:07:45,360 --> 00:07:46,840 Speaker 1: eggs on the sidewalk. And I said that to someone 129 00:07:46,840 --> 00:07:48,920 Speaker 1: the other day and they go, can you really fry 130 00:07:48,920 --> 00:07:50,760 Speaker 1: an egg on the sidewalk? And I go, yeah, we 131 00:07:50,800 --> 00:07:52,120 Speaker 1: used to do as a kid, because we put them 132 00:07:52,120 --> 00:07:53,560 Speaker 1: out there and they would kind of get bubbly. But 133 00:07:53,600 --> 00:07:56,920 Speaker 1: I don't ever remember it frying. Like googled it and 134 00:07:56,960 --> 00:07:59,840 Speaker 1: it said the temperature has to be a hundred and 135 00:08:00,000 --> 00:08:04,200 Speaker 1: fifty eight degrees for an egg to fry, and sidewalks 136 00:08:04,240 --> 00:08:08,280 Speaker 1: can reach up to But I don't really think, yes, 137 00:08:08,800 --> 00:08:11,880 Speaker 1: I know, we're almost about come on. What about blacktop though, 138 00:08:11,960 --> 00:08:14,960 Speaker 1: because the color would retain more right exactly, That's what 139 00:08:15,040 --> 00:08:17,679 Speaker 1: I was thinking. I lived in Houston when I was little, 140 00:08:17,880 --> 00:08:20,080 Speaker 1: and the weather man always used to take an egg 141 00:08:20,200 --> 00:08:24,560 Speaker 1: on his little weather cast, and and and crack it 142 00:08:24,640 --> 00:08:26,680 Speaker 1: on the sidewalk and it would fry. So we have 143 00:08:26,760 --> 00:08:31,760 Speaker 1: been lied to from that time, right, I mean even 144 00:08:31,800 --> 00:08:36,760 Speaker 1: the weather man. Yeah, well, I think we're headed in 145 00:08:36,760 --> 00:08:39,640 Speaker 1: that direction, though, I think, like, I don't think it's 146 00:08:39,679 --> 00:08:44,679 Speaker 1: a fixed upper limit for how fat how the sidewalk gets. 147 00:08:44,880 --> 00:08:49,160 Speaker 1: I think we're come on climate change. Let's fry some eggs. 148 00:08:49,480 --> 00:08:51,520 Speaker 1: And then the one that I always heard when I 149 00:08:51,520 --> 00:08:56,240 Speaker 1: lived in cold places was that it's so cold that 150 00:08:56,360 --> 00:08:59,080 Speaker 1: you can spit and your spit will freeze before it 151 00:08:59,160 --> 00:09:03,720 Speaker 1: hits the ground. Did y'all ever hear that? No, But 152 00:09:03,760 --> 00:09:07,280 Speaker 1: it's I think it's also a lie. I think it's. Yeah, 153 00:09:07,520 --> 00:09:11,120 Speaker 1: there is a level of cold where you can feel 154 00:09:11,480 --> 00:09:14,560 Speaker 1: your tear ducts freezing. But I don't think that the 155 00:09:14,600 --> 00:09:17,480 Speaker 1: freezing happens so quickly that it will freeze before it 156 00:09:17,559 --> 00:09:20,360 Speaker 1: hits the crap. I think I also lazily google about it, 157 00:09:20,440 --> 00:09:22,520 Speaker 1: like well, like if you put pressure like near your 158 00:09:22,559 --> 00:09:25,160 Speaker 1: tear duct like you could expel like an icicle frost. 159 00:09:29,000 --> 00:09:31,240 Speaker 1: That feels like, yeah, it just feels like body horror, 160 00:09:31,440 --> 00:09:34,040 Speaker 1: like like my insides are turning to icicles that I 161 00:09:34,080 --> 00:09:36,600 Speaker 1: could I will never live in a in a place 162 00:09:36,679 --> 00:09:40,080 Speaker 1: that cold. I'm going to search that on the TikTok. 163 00:09:40,160 --> 00:09:43,760 Speaker 1: Yeah right, yeah, I just like that. It's like almost 164 00:09:43,760 --> 00:09:46,360 Speaker 1: like a nine eleven style conspiracy theory with the sidewalk, 165 00:09:46,360 --> 00:09:48,480 Speaker 1: which like, well, the sidewalk can only get to Hunter, 166 00:09:49,520 --> 00:09:52,240 Speaker 1: therefore it cannot melt steel beans. And you're like, whoa 167 00:09:52,320 --> 00:10:00,240 Speaker 1: okay started, how about you? Um? Okay for me, And 168 00:10:00,280 --> 00:10:03,960 Speaker 1: this is for all my fellow chemo brains out there. 169 00:10:05,160 --> 00:10:09,960 Speaker 1: Our brains get foggy sometimes and there's certain memories that 170 00:10:10,200 --> 00:10:12,280 Speaker 1: like I can't remember if it was a dream or 171 00:10:12,320 --> 00:10:16,360 Speaker 1: if it really happened to me. And so last night 172 00:10:16,920 --> 00:10:22,000 Speaker 1: I had this distinct memory of seeing prints on stage, 173 00:10:22,280 --> 00:10:27,439 Speaker 1: but it was just like at George Mason University's auditorium, 174 00:10:27,440 --> 00:10:32,000 Speaker 1: which could not have been true, but I have this 175 00:10:32,120 --> 00:10:38,000 Speaker 1: memory of that. So I often have to Google. I 176 00:10:38,040 --> 00:10:39,960 Speaker 1: have to go to Google to see if my memory 177 00:10:40,080 --> 00:10:44,560 Speaker 1: was right or not. Sure enough, George Mason University. In 178 00:10:44,679 --> 00:10:51,560 Speaker 1: January two thousand, the Amazing Prince held a concert auditorium. 179 00:10:52,120 --> 00:10:54,960 Speaker 1: It was a time when he used to pick these obscure, 180 00:10:55,160 --> 00:10:59,760 Speaker 1: weird little spaces that no one would really know about. 181 00:10:59,800 --> 00:11:03,560 Speaker 1: So not really stadiums. That's why I was like this, 182 00:11:03,559 --> 00:11:05,800 Speaker 1: this has got to have been a dream. But it 183 00:11:05,840 --> 00:11:08,920 Speaker 1: turned out to be true. I actually googled it. Did 184 00:11:08,920 --> 00:11:13,400 Speaker 1: Prince play George Mason University? Oh wow? And you got 185 00:11:13,480 --> 00:11:22,680 Speaker 1: to that? Yeah? I was there apparently apparently, Yeah, Jack 186 00:11:22,760 --> 00:11:26,040 Speaker 1: did you did you ever go to and like the 187 00:11:26,120 --> 00:11:28,040 Speaker 1: what was it the twenty one night Stand? How many 188 00:11:28,120 --> 00:11:31,559 Speaker 1: nights was it at the at the Forum? Yeah, there 189 00:11:31,600 --> 00:11:33,320 Speaker 1: was a there was a lot of nights in a 190 00:11:33,440 --> 00:11:36,120 Speaker 1: row and I missed every single one. It was like 191 00:11:38,040 --> 00:11:40,760 Speaker 1: album were talking about I think no it's called one 192 00:11:40,880 --> 00:11:43,920 Speaker 1: night stand or and it was all in l a 193 00:11:44,240 --> 00:11:46,440 Speaker 1: like this is in two thousand eleven inches before um 194 00:11:46,920 --> 00:11:49,160 Speaker 1: yeah yeah yeah, and like they were doing like I 195 00:11:49,160 --> 00:11:53,640 Speaker 1: remember my dad three times. Yeah. Everybody was going and 196 00:11:53,679 --> 00:11:56,400 Speaker 1: telling me to go, and I was like I just 197 00:11:56,480 --> 00:12:00,960 Speaker 1: moved here like this probably happens all the time and 198 00:12:04,400 --> 00:12:08,640 Speaker 1: Icon of Venues. I love it here. But everybody who went, 199 00:12:08,760 --> 00:12:12,319 Speaker 1: like you just you're constantly running into people who are like, 200 00:12:12,360 --> 00:12:17,560 Speaker 1: do you go lest night? It was people's lives were changed. Yeah, 201 00:12:18,000 --> 00:12:20,439 Speaker 1: let's stick with you, Hannah. What is something you think 202 00:12:20,559 --> 00:12:24,640 Speaker 1: is overrated? All right, I'm gonna do another one. I'm no, 203 00:12:24,760 --> 00:12:27,040 Speaker 1: I'm going to get dragged, and I know I'm gonna 204 00:12:27,040 --> 00:12:33,760 Speaker 1: get slammed. But sparkling water m hmm, or and or 205 00:12:34,240 --> 00:12:40,800 Speaker 1: mineral water? Why just why? I still don't understand it. 206 00:12:40,800 --> 00:12:42,760 Speaker 1: It's not just that I don't like it. I don't 207 00:12:42,760 --> 00:12:47,600 Speaker 1: see the necessity. Why why? Why? Why not? Just water? 208 00:12:48,160 --> 00:12:53,720 Speaker 1: Carbonated water is a frivolous pursuit, thank you. It bothers 209 00:12:53,800 --> 00:13:00,560 Speaker 1: me to be asked sparkling or still of course still? Anyway? 210 00:13:01,000 --> 00:13:04,439 Speaker 1: I just confused. They say sparkling or still or flat? 211 00:13:04,480 --> 00:13:08,440 Speaker 1: Don't they say flat too? I'm just like, that is 212 00:13:08,520 --> 00:13:11,640 Speaker 1: flat old sparkling water that you let get flattening? You're 213 00:13:11,679 --> 00:13:16,280 Speaker 1: serving that? Or is it totally overrated? All the shows 214 00:13:16,280 --> 00:13:19,160 Speaker 1: with the posh women with their sparkling water. I can't. 215 00:13:19,240 --> 00:13:22,160 Speaker 1: I can't stand it anymore. And that's my story and 216 00:13:22,200 --> 00:13:24,560 Speaker 1: I'm sticking to Okay, Now, tell me how does this 217 00:13:24,640 --> 00:13:27,320 Speaker 1: come from? For you? You're like, if things have bubbles 218 00:13:27,320 --> 00:13:31,360 Speaker 1: in it, there better be flavored. Thank you. I know 219 00:13:31,400 --> 00:13:34,320 Speaker 1: I'm asking. Is that sort of the logic a little bit? Yes? 220 00:13:34,520 --> 00:13:37,440 Speaker 1: I just think water should not be messed with. Water 221 00:13:37,840 --> 00:13:41,720 Speaker 1: is water is water, and it shouldn't be messed around 222 00:13:41,760 --> 00:13:44,160 Speaker 1: with and that's all. And you're right, if it's bubbly, 223 00:13:44,559 --> 00:13:50,600 Speaker 1: give me some Limona flavor or something, thank you. Okay. 224 00:13:51,840 --> 00:13:53,880 Speaker 1: It's like sort of the way my mom would talk 225 00:13:53,880 --> 00:13:56,160 Speaker 1: about it from being from Japan, where she's like, I 226 00:13:56,200 --> 00:13:59,400 Speaker 1: don't understand why people drink bubble water. She's like, it's water, 227 00:13:59,600 --> 00:14:02,839 Speaker 1: you need to water, and she had she's a very 228 00:14:02,880 --> 00:14:05,120 Speaker 1: like rigid thing, and she's like, oh no, like if 229 00:14:05,160 --> 00:14:10,679 Speaker 1: you offered her like spartners assumption, that is the Bougee water, right, 230 00:14:10,720 --> 00:14:13,320 Speaker 1: like of course you want it. Of course, you know, 231 00:14:13,360 --> 00:14:16,559 Speaker 1: I'm I'm I'm being generous and giving you the sparkling water, 232 00:14:16,800 --> 00:14:20,080 Speaker 1: right right right, not like the you know, the peasant water, 233 00:14:20,800 --> 00:14:23,120 Speaker 1: right you know. What I just found out also is 234 00:14:23,200 --> 00:14:28,600 Speaker 1: the Seltzer water. And like all those things have carbonic 235 00:14:28,720 --> 00:14:32,360 Speaker 1: acid in it. I have a friend who's a dentist 236 00:14:32,680 --> 00:14:37,120 Speaker 1: and they were like, yeah, don't drink like bubbly water 237 00:14:37,360 --> 00:14:40,120 Speaker 1: and think it's the same as drinking regular water. It's 238 00:14:40,200 --> 00:14:45,120 Speaker 1: really bad for your teeth, like carbonic acid. So another 239 00:14:45,280 --> 00:14:48,880 Speaker 1: another mark against it. Thank you dentist and Miles Mom, 240 00:14:49,320 --> 00:14:55,720 Speaker 1: Yes it can be on the WhatsApp chat. Yeah, what 241 00:14:55,840 --> 00:14:58,880 Speaker 1: is something you think is overrated. I know that that, yeah, 242 00:14:58,920 --> 00:15:02,080 Speaker 1: will relate to this, Miles, and I know you'll relate 243 00:15:02,120 --> 00:15:06,600 Speaker 1: to this. But collagen creams, collagen creams for the face, 244 00:15:06,880 --> 00:15:14,040 Speaker 1: thank you? Right, I know. Let me tell you why. Then, 245 00:15:14,160 --> 00:15:16,880 Speaker 1: let me tell you why. There have been multiple studies 246 00:15:16,920 --> 00:15:20,160 Speaker 1: that have shown that these creams with collagen why applied 247 00:15:20,440 --> 00:15:23,760 Speaker 1: on your skin? There the molecules aren't big enough to 248 00:15:23,800 --> 00:15:27,120 Speaker 1: penetrate into your skin. It's been like proven and studied 249 00:15:27,200 --> 00:15:31,520 Speaker 1: and all these things. Yet it's like crazy how much 250 00:15:32,000 --> 00:15:34,000 Speaker 1: it is available and how many people are buying it, 251 00:15:34,040 --> 00:15:35,840 Speaker 1: and how many people are living by. You gotta buy 252 00:15:35,840 --> 00:15:38,000 Speaker 1: this cream. You gotta buy the cream, and yeah, I 253 00:15:38,040 --> 00:15:40,760 Speaker 1: just feel like now every time I see it, I'm like, uh, 254 00:15:41,120 --> 00:15:43,360 Speaker 1: this is scam. I'm not going to fall for the 255 00:15:43,360 --> 00:15:46,520 Speaker 1: Oki dok. This collagen cream don't work, but I might 256 00:15:46,520 --> 00:15:50,040 Speaker 1: try the ingustible like liquid collagen. What about you guys? 257 00:15:50,080 --> 00:15:52,720 Speaker 1: Are you guys using collagen at all? Well? As you 258 00:15:53,040 --> 00:15:55,360 Speaker 1: as you know, I tried to sell you my personal 259 00:15:55,440 --> 00:15:58,520 Speaker 1: brand of collagen cream before we started recording. So I 260 00:15:58,560 --> 00:16:02,480 Speaker 1: am feeling a little attacked, right, But I don't use it, 261 00:16:02,600 --> 00:16:06,680 Speaker 1: absolutely not. It's a snake oil. But I'm a royal 262 00:16:06,800 --> 00:16:13,840 Speaker 1: jelly person myself. Yeah, so it looks. I mean some 263 00:16:13,960 --> 00:16:18,000 Speaker 1: say it's genetics. I would agree probably that it's genetics, 264 00:16:18,040 --> 00:16:20,080 Speaker 1: but I like to say it's from rubbing these jellies 265 00:16:20,120 --> 00:16:23,680 Speaker 1: on my face. Wait, what is royal jelly? Jelly fist? Hey, 266 00:16:23,760 --> 00:16:26,840 Speaker 1: jelly fis? What is royal jelly? Royal jelly is? Like 267 00:16:26,920 --> 00:16:30,120 Speaker 1: I know it because in Japan, like an Asian like 268 00:16:30,160 --> 00:16:33,440 Speaker 1: skin care products, people are going wild for royal jelly, 269 00:16:33,520 --> 00:16:36,520 Speaker 1: like it's like comes from honey Bees. It's like a 270 00:16:36,600 --> 00:16:40,360 Speaker 1: secretion where they're like, oh, like it's fantastic for I don't. 271 00:16:40,560 --> 00:16:43,400 Speaker 1: All I know is royal jelly was a big fat 272 00:16:43,440 --> 00:16:45,680 Speaker 1: I remember witnessing as a kid and like my mom 273 00:16:45,720 --> 00:16:48,040 Speaker 1: and aunts were like jelly and then I just saw 274 00:16:48,120 --> 00:16:50,120 Speaker 1: Bees on the cover and I know it's from Bees. 275 00:16:50,160 --> 00:16:53,200 Speaker 1: But apparently the people talk about it for skin is 276 00:16:53,240 --> 00:16:57,440 Speaker 1: amazing today. Yeah, look, or you know, just go with whatever. 277 00:16:57,800 --> 00:17:00,280 Speaker 1: Cindy Crawford is using dr ol bogy that I see 278 00:17:00,280 --> 00:17:09,600 Speaker 1: you late at night on TV. Don't follow these celebrities. 279 00:17:11,040 --> 00:17:14,680 Speaker 1: Who knows what they do in them clinics? Yeah, seriously, 280 00:17:15,520 --> 00:17:19,959 Speaker 1: what is something, Leela that you think is underrated? I 281 00:17:20,000 --> 00:17:22,000 Speaker 1: also think you guys would totally relate to this. But 282 00:17:22,000 --> 00:17:28,719 Speaker 1: I don't like about this. Yes, the Jerry Curl, Jerry curl. 283 00:17:29,560 --> 00:17:32,240 Speaker 1: I just feel like the Jerry curl didn't have It's 284 00:17:32,359 --> 00:17:35,199 Speaker 1: the moment that it needed to have to actually thrive. 285 00:17:35,720 --> 00:17:38,800 Speaker 1: I mean, you think about it, that Jerry curl add 286 00:17:38,840 --> 00:17:43,480 Speaker 1: a texture, added shine. It was a great you know, 287 00:17:43,600 --> 00:17:45,919 Speaker 1: do you guys remember like coming to America. You know 288 00:17:50,960 --> 00:17:54,560 Speaker 1: that was so iconic that it like hurt the Jerry Curl, 289 00:17:54,720 --> 00:17:57,719 Speaker 1: that it hurt the brand h brand because it was 290 00:17:57,800 --> 00:18:03,160 Speaker 1: so just like thorough and funny and timeless. Like Jerry 291 00:18:03,160 --> 00:18:09,320 Speaker 1: curls never bounced back, so to speak. I mean, I 292 00:18:09,400 --> 00:18:12,480 Speaker 1: hear you that might be you might have something there, 293 00:18:12,480 --> 00:18:15,240 Speaker 1: because I just feel like we're always talking about people 294 00:18:15,240 --> 00:18:17,760 Speaker 1: want looser curls, they want more moisture in their hair, 295 00:18:17,760 --> 00:18:21,720 Speaker 1: and the Jerry curl did that. But everyone that had 296 00:18:21,720 --> 00:18:24,879 Speaker 1: a Jerry Carl at one point was completely criticized for 297 00:18:24,920 --> 00:18:27,200 Speaker 1: it and made fun of, right, all the soglow and 298 00:18:27,240 --> 00:18:30,399 Speaker 1: all that kind of stuff. In actuality, It's like, what 299 00:18:30,440 --> 00:18:32,879 Speaker 1: a lot of people are trying to inspiring that curl pattern. 300 00:18:32,920 --> 00:18:34,600 Speaker 1: A lot of people are trying to expire for it 301 00:18:35,080 --> 00:18:37,919 Speaker 1: to get so I'm like, the Jerry Curl, can we 302 00:18:38,000 --> 00:18:41,680 Speaker 1: bring it back? Can we rebrand it? Right? Because if 303 00:18:41,720 --> 00:18:44,880 Speaker 1: it really was like this like punchline in black comedy 304 00:18:44,880 --> 00:18:46,719 Speaker 1: for a long time, like I remember, even like in 305 00:18:46,720 --> 00:18:49,760 Speaker 1: a Living Color, there was always like it was always 306 00:18:49,800 --> 00:18:52,919 Speaker 1: a character was too much activator trying to spray everything 307 00:18:52,920 --> 00:18:55,600 Speaker 1: around them. I remember there's like people talk. The joke 308 00:18:55,720 --> 00:18:59,240 Speaker 1: was always like everything's greasy now with people getting their 309 00:18:59,280 --> 00:19:02,320 Speaker 1: activator do everywhere, and even like in coming to America, 310 00:19:02,359 --> 00:19:04,520 Speaker 1: the stains at the family left when they got on 311 00:19:04,560 --> 00:19:08,119 Speaker 1: the back of the couch. Yes, So I wonder if 312 00:19:08,200 --> 00:19:10,879 Speaker 1: like yeah that like if comedy or just like pop 313 00:19:10,920 --> 00:19:12,760 Speaker 1: culture just took it to a place where we're like 314 00:19:12,920 --> 00:19:15,360 Speaker 1: because remember I mean our ice Cube had a Jerry Crow. 315 00:19:15,440 --> 00:19:18,879 Speaker 1: Everybody cirl, like even if they just called it something 316 00:19:18,920 --> 00:19:26,760 Speaker 1: else like literally French or something, you know, Nancy, it 317 00:19:26,840 --> 00:19:30,240 Speaker 1: needs the right celebrity to bring it back, like not 318 00:19:30,320 --> 00:19:33,919 Speaker 1: ice Cube, not ice Cube. It can't be because I 319 00:19:33,960 --> 00:19:36,720 Speaker 1: feel like Bruno Mars was kind of rocking it for 320 00:19:36,720 --> 00:19:40,560 Speaker 1: a little bit, but like that was I think we 321 00:19:40,600 --> 00:19:43,400 Speaker 1: needed from We need like Kendrick to drop his next 322 00:19:43,440 --> 00:19:48,040 Speaker 1: album with Jerry Curl would be nice. A great look, 323 00:19:48,280 --> 00:19:51,000 Speaker 1: and I feel like, yeah, the way it came back, 324 00:19:51,040 --> 00:19:54,840 Speaker 1: at least for me was s Curl. Like I remember 325 00:19:54,880 --> 00:19:57,000 Speaker 1: in the early odds, I had a lot of homies 326 00:19:57,040 --> 00:20:00,760 Speaker 1: we were rocking the s Curl who had that texturized 327 00:20:01,400 --> 00:20:03,560 Speaker 1: that was just a little less you know, but it's 328 00:20:03,600 --> 00:20:06,000 Speaker 1: still shiny and a little bit of a looser Curl 329 00:20:07,119 --> 00:20:11,720 Speaker 1: look like texture, but still pretty tight to the wet look. Yeah, 330 00:20:11,800 --> 00:20:14,480 Speaker 1: and wet, wet, wet. Yeah, Yeah, for sure. I was 331 00:20:14,520 --> 00:20:18,800 Speaker 1: gonna say, like, you know, I feel like pulp fiction 332 00:20:19,080 --> 00:20:25,200 Speaker 1: tried to reclaim, you know, it tried to reinvigorate. Yeah, 333 00:20:25,480 --> 00:20:30,680 Speaker 1: but yeah, is it Sam Jackson and could take Jerry 334 00:20:30,680 --> 00:20:34,440 Speaker 1: Curl and John Travolta both tried to make a comeback 335 00:20:34,560 --> 00:20:38,439 Speaker 1: and only Travolta actually got to come back from that movie. 336 00:20:38,640 --> 00:20:43,959 Speaker 1: That's sad. Best Jerry Curl, what the best one? Rick James, 337 00:20:47,160 --> 00:20:53,639 Speaker 1: Rick James, Rick James. Yeah, long, drippy Curl. I mean, 338 00:20:53,720 --> 00:20:58,280 Speaker 1: I still feel like Eric Lassalle in coming to America. Yeah, 339 00:20:58,520 --> 00:21:01,000 Speaker 1: it's everything I want need it to be. But then 340 00:21:01,040 --> 00:21:03,760 Speaker 1: that big wet stay and I feel like fucked it up. 341 00:21:03,960 --> 00:21:06,680 Speaker 1: Like after Saw, you were like, well that seems impressed 342 00:21:06,720 --> 00:21:11,159 Speaker 1: and like he was evil and that with that guy, 343 00:21:11,440 --> 00:21:14,280 Speaker 1: it was like both vain and also like he was 344 00:21:14,359 --> 00:21:17,400 Speaker 1: kind of whack, so like it. It was a bad comba. 345 00:21:17,520 --> 00:21:19,919 Speaker 1: The new audition guys did a good job of a 346 00:21:20,040 --> 00:21:23,680 Speaker 1: of a Jerry Curl, I think, right, they were so 347 00:21:23,760 --> 00:21:26,720 Speaker 1: long ago, right, what's there's no current Jerry Curl. There's 348 00:21:26,760 --> 00:21:30,280 Speaker 1: no bring it back, bring it back? Yeah, somebody be 349 00:21:31,080 --> 00:21:37,280 Speaker 1: brave and bringing back to Jerry Curl. Please. Mine is 350 00:21:37,280 --> 00:21:40,800 Speaker 1: going to be more serious and less funny. I'm sorry, 351 00:21:41,080 --> 00:21:45,160 Speaker 1: but I've been trying to convince so many people around 352 00:21:45,240 --> 00:21:48,760 Speaker 1: me and of my people in immigrant communities around me 353 00:21:48,920 --> 00:21:54,640 Speaker 1: to vote mm hmm, and people still do not understand 354 00:21:54,680 --> 00:22:01,440 Speaker 1: fully or appreciate the power they have. And it's it's 355 00:22:01,480 --> 00:22:06,480 Speaker 1: just the most I think it's so highly underrated. In 356 00:22:06,480 --> 00:22:10,240 Speaker 1: in in kind of my my immediate kind of black 357 00:22:10,280 --> 00:22:14,159 Speaker 1: black immigrant African immigrant communities, there's this feeling of what 358 00:22:14,320 --> 00:22:17,280 Speaker 1: is my vote going to do? Right, There's this feeling 359 00:22:18,240 --> 00:22:23,360 Speaker 1: of like what actual change can happen from me getting 360 00:22:23,480 --> 00:22:26,399 Speaker 1: up and filling this thing out and going you know, 361 00:22:26,640 --> 00:22:32,399 Speaker 1: it's it feels like the system has been formulated to 362 00:22:32,520 --> 00:22:37,320 Speaker 1: kind of keep people that way. There needs to still 363 00:22:37,400 --> 00:22:40,880 Speaker 1: be education a lot of education. And when I say education, 364 00:22:40,920 --> 00:22:43,480 Speaker 1: I don't mean just like these things that you see 365 00:22:43,560 --> 00:22:47,320 Speaker 1: flashing on your screen, people going into communities and sitting 366 00:22:47,359 --> 00:22:52,000 Speaker 1: down with people and saying, if you vote in this election, 367 00:22:52,600 --> 00:22:54,639 Speaker 1: it will affect your life and the life of your 368 00:22:54,720 --> 00:22:58,080 Speaker 1: children in this way a b C. In a culturally 369 00:22:58,160 --> 00:23:05,199 Speaker 1: competent way of speakinging linguistically, you know, appropriate whatever they 370 00:23:05,240 --> 00:23:07,520 Speaker 1: need to do. But that effort is not there. So 371 00:23:07,600 --> 00:23:13,680 Speaker 1: for me, sadly today, on this day, my underrated thing 372 00:23:13,960 --> 00:23:18,360 Speaker 1: is just voting, and more people need to appreciate that right. 373 00:23:18,440 --> 00:23:21,720 Speaker 1: And I also want to call out my immigrant friends 374 00:23:22,600 --> 00:23:27,360 Speaker 1: who you know can't wait to get the citizenship right. 375 00:23:27,720 --> 00:23:30,000 Speaker 1: It's a privilege, it's a high privilege to become a 376 00:23:30,040 --> 00:23:32,160 Speaker 1: citizen of this country. A lot of people don't realize 377 00:23:32,160 --> 00:23:35,720 Speaker 1: that when you're kind of born into it. But the 378 00:23:35,800 --> 00:23:39,800 Speaker 1: things have people have to go through to get citizenship 379 00:23:39,840 --> 00:23:44,200 Speaker 1: in this country. It's a long road. It's it's it's hard, 380 00:23:44,480 --> 00:23:51,159 Speaker 1: it's harsh mentally, it's taxing. And for you to have 381 00:23:51,280 --> 00:23:55,840 Speaker 1: gone that far and stop short of one of the 382 00:23:55,960 --> 00:24:01,480 Speaker 1: rights that have been fought for for generations, rights blood, 383 00:24:01,480 --> 00:24:05,280 Speaker 1: sweat and tears, it just it feels wrong to me. 384 00:24:05,359 --> 00:24:08,000 Speaker 1: It's like there's something missing there. People are so excited 385 00:24:08,040 --> 00:24:12,800 Speaker 1: to become citizens and then this this sacred right. It's 386 00:24:12,840 --> 00:24:16,520 Speaker 1: just like they don't feel they they're worthy or they 387 00:24:16,520 --> 00:24:17,960 Speaker 1: don't have a voice. I don't know what it is, 388 00:24:18,000 --> 00:24:22,800 Speaker 1: but that's mine. Sorry, it's a downer, I mean. And 389 00:24:22,840 --> 00:24:25,960 Speaker 1: I also really like the idea of using history or 390 00:24:26,040 --> 00:24:30,240 Speaker 1: like using specific examples of like here's an election that 391 00:24:30,480 --> 00:24:33,880 Speaker 1: affected your life, were like the people in your communities, 392 00:24:34,000 --> 00:24:38,919 Speaker 1: lives people people still they don't get it, or they 393 00:24:38,960 --> 00:24:41,320 Speaker 1: feel like their vote is really not wanted, like it's 394 00:24:41,359 --> 00:24:46,320 Speaker 1: not needed, it's not wanted, or the suppression right all 395 00:24:46,359 --> 00:24:49,640 Speaker 1: of it at the same time, or just this this 396 00:24:49,720 --> 00:24:53,440 Speaker 1: idea and that goes into conspiracy theory world. But everything 397 00:24:53,560 --> 00:24:58,080 Speaker 1: is set before neglection day anyway. I hear that so much, 398 00:24:58,600 --> 00:25:04,680 Speaker 1: like it's all planned by these forces and this system 399 00:25:04,720 --> 00:25:08,600 Speaker 1: and little old me is not going to change the thing, right, Yeah, 400 00:25:08,640 --> 00:25:10,840 Speaker 1: I mean, it's just like this perspective, right, because you 401 00:25:10,880 --> 00:25:12,760 Speaker 1: could rightly say, well, I don't know, I've lived here 402 00:25:12,840 --> 00:25:15,199 Speaker 1: for X amount of years. We've been worried about the 403 00:25:15,240 --> 00:25:19,080 Speaker 1: same thing for decades, and it's actually worse off than 404 00:25:19,119 --> 00:25:21,760 Speaker 1: when I first got here. That like would reinforce that 405 00:25:21,880 --> 00:25:26,320 Speaker 1: kind of someone to become completely apathetic and not want 406 00:25:26,359 --> 00:25:29,080 Speaker 1: to participate. And that's what's like so insidious, right is 407 00:25:29,119 --> 00:25:31,280 Speaker 1: because on one hand that there's like this hope it 408 00:25:31,320 --> 00:25:33,720 Speaker 1: offers people from abroad, and then there's also this like 409 00:25:33,880 --> 00:25:37,359 Speaker 1: very fucked up part of American culture which is reflecting 410 00:25:37,400 --> 00:25:39,800 Speaker 1: to many people who don't look like, you know, white 411 00:25:39,880 --> 00:25:44,879 Speaker 1: Christian America. Yeah, your your your needs are like tertiary 412 00:25:44,960 --> 00:25:47,639 Speaker 1: at best, and it's wild how that feeds into it. 413 00:25:47,680 --> 00:25:49,880 Speaker 1: When at the same time it's really about connecting people 414 00:25:49,920 --> 00:25:52,240 Speaker 1: to understand too, like this is this is part of it. 415 00:25:52,359 --> 00:25:54,920 Speaker 1: I know it feels like that, but there's also a 416 00:25:55,280 --> 00:25:57,240 Speaker 1: there's are some more and more to it than simply 417 00:25:57,320 --> 00:25:59,359 Speaker 1: just throwing our hands up and saying like this this 418 00:25:59,720 --> 00:26:01,080 Speaker 1: this it is what it is, and it's what it's 419 00:26:01,080 --> 00:26:04,359 Speaker 1: always going to be. M Debbie Downer just brought the 420 00:26:04,400 --> 00:26:12,080 Speaker 1: whole show down. We're sorry, We're we're about to take 421 00:26:12,080 --> 00:26:14,520 Speaker 1: a breaking and talk about it. It is that day 422 00:26:14,640 --> 00:26:18,600 Speaker 1: we're gonna gos but we do know the process and 423 00:26:18,760 --> 00:26:21,360 Speaker 1: it's fucked up. So let's take a quick break. We'll 424 00:26:21,400 --> 00:26:35,919 Speaker 1: be right back, and we're back, and what we know 425 00:26:36,600 --> 00:26:39,800 Speaker 1: as of right now, which isn't very much. We know 426 00:26:39,960 --> 00:26:42,359 Speaker 1: less than you do the listener. You could probably go 427 00:26:42,400 --> 00:26:45,280 Speaker 1: to you know, the New York Times and see a 428 00:26:45,400 --> 00:26:48,919 Speaker 1: story about like a massive red wave for not a 429 00:26:48,960 --> 00:26:51,800 Speaker 1: massive red where's the red wave? We can't. We're in 430 00:26:51,840 --> 00:26:54,920 Speaker 1: the past. We do know there was lots of focury 431 00:26:55,000 --> 00:26:59,520 Speaker 1: though on the day into that. Yeah, I mean, just 432 00:26:59,560 --> 00:27:02,280 Speaker 1: to start off in Florida, the Department of Justice is 433 00:27:02,320 --> 00:27:06,600 Speaker 1: like sending like poll watchers, you know, election observers around 434 00:27:06,600 --> 00:27:09,600 Speaker 1: the country to you know, check on some stuff to 435 00:27:09,640 --> 00:27:13,800 Speaker 1: see if there's anything completely untoward, and Governor de Santis 436 00:27:13,800 --> 00:27:16,800 Speaker 1: and Florida has been basically trying to prevent them from 437 00:27:16,840 --> 00:27:20,480 Speaker 1: observing the election, even though like the Florida like state 438 00:27:20,560 --> 00:27:22,480 Speaker 1: laws say the only people that can enter a polling 439 00:27:22,480 --> 00:27:25,280 Speaker 1: place if you're not voting is law enforcement. And they're like, well, 440 00:27:25,320 --> 00:27:28,160 Speaker 1: these people from the Department of Justice are just uh, 441 00:27:28,200 --> 00:27:30,240 Speaker 1: they're not if they're they're poll We're going to redefine 442 00:27:30,280 --> 00:27:32,640 Speaker 1: them as poll watchers for this, so they are not 443 00:27:32,720 --> 00:27:35,240 Speaker 1: allowed in I'm not sure where any of that has 444 00:27:35,280 --> 00:27:37,919 Speaker 1: shaken up, but there's been a lot of attention on 445 00:27:37,920 --> 00:27:42,199 Speaker 1: South Florida and federal observers there. Georgia I think is 446 00:27:42,200 --> 00:27:44,280 Speaker 1: a really big state to talk about because they have 447 00:27:44,400 --> 00:27:46,639 Speaker 1: gone all in on voter suppression in the wake of 448 00:27:46,640 --> 00:27:50,720 Speaker 1: the election. Governor Kemp, you know, has this SB two 449 00:27:50,720 --> 00:27:52,879 Speaker 1: O two was the bill, and it was basically saying like, 450 00:27:52,920 --> 00:27:56,480 Speaker 1: don't worry with this bill. It's actually gonna be so 451 00:27:56,600 --> 00:27:59,440 Speaker 1: much easier to vote. And it's actually if you're a cheater, 452 00:27:59,720 --> 00:28:01,639 Speaker 1: that who has to worry because it is gonna be 453 00:28:01,920 --> 00:28:05,639 Speaker 1: so hard to cheat. Obviously, what all this looks like 454 00:28:05,720 --> 00:28:08,679 Speaker 1: now is just laws that are nearly tailor made to 455 00:28:08,680 --> 00:28:12,280 Speaker 1: suppress the vote in like black, urban or college town areas, 456 00:28:12,359 --> 00:28:15,280 Speaker 1: or there's younger voters, because that's truly how they're trying 457 00:28:15,320 --> 00:28:17,960 Speaker 1: to eke out these margins. If they can suppress those blocks, 458 00:28:18,240 --> 00:28:21,640 Speaker 1: then maybe they have a numerical advantage. And the law 459 00:28:21,800 --> 00:28:25,840 Speaker 1: actually encouraged individuals to like challenge the validity of registrations. 460 00:28:26,320 --> 00:28:30,399 Speaker 1: Tens of thousands of voter registrations have been challenged, most 461 00:28:31,080 --> 00:28:34,679 Speaker 1: like have been completely thrown out those challenges luckily, but 462 00:28:35,000 --> 00:28:37,560 Speaker 1: again showing you that this is the kind of chaos 463 00:28:37,600 --> 00:28:39,480 Speaker 1: that the bill that the bill is meant to sew 464 00:28:39,560 --> 00:28:41,840 Speaker 1: like on the day just to keep people I'm not 465 00:28:41,960 --> 00:28:45,840 Speaker 1: sure about their own voter registration, but so far the 466 00:28:45,920 --> 00:28:49,640 Speaker 1: turnout in Georgia has been at historic levels and people 467 00:28:49,680 --> 00:28:52,320 Speaker 1: seem undeterred despite that, which I think is always a 468 00:28:52,360 --> 00:28:54,800 Speaker 1: good thing, rather than people you know, kind of throwing 469 00:28:54,800 --> 00:28:56,600 Speaker 1: their hands up and saying, well funk if they're trying 470 00:28:56,600 --> 00:28:59,240 Speaker 1: to make sure that I can't vote anyway. So that 471 00:28:59,360 --> 00:29:02,880 Speaker 1: is moving in a somewhat positive direction. But you add 472 00:29:02,920 --> 00:29:06,760 Speaker 1: to that shortened like times to request an absentee ballot, 473 00:29:06,840 --> 00:29:09,440 Speaker 1: increased i D requirements, and the fact that it's like 474 00:29:09,560 --> 00:29:12,960 Speaker 1: illegal for election officials to even preemptively just send ballots 475 00:29:13,000 --> 00:29:16,200 Speaker 1: out to people. Just there's another way. They're trying to 476 00:29:16,280 --> 00:29:19,680 Speaker 1: get every single numerical advantage right now. So it's it's 477 00:29:19,720 --> 00:29:23,360 Speaker 1: not insignificant because when you look at absentee balots, absentee ballots, 478 00:29:23,520 --> 00:29:26,360 Speaker 1: that's that's a huge hit for students, you know, and 479 00:29:26,400 --> 00:29:29,000 Speaker 1: the elderly and people who have other mobility issues or 480 00:29:29,040 --> 00:29:31,640 Speaker 1: medical conditions that don't allow them to vote in person. 481 00:29:32,080 --> 00:29:35,120 Speaker 1: So taking that whole block out is you know, it 482 00:29:35,280 --> 00:29:38,360 Speaker 1: was with a very intentional purpose, version all done to 483 00:29:38,480 --> 00:29:43,360 Speaker 1: avoid voter fraud, which study after study has indicated doesn't 484 00:29:43,360 --> 00:29:48,400 Speaker 1: exist in any significant sense, but yeah, it motivates like 485 00:29:48,920 --> 00:29:53,040 Speaker 1: millions and millions of dollars and hours of work to 486 00:29:53,120 --> 00:29:55,800 Speaker 1: avoid it just because it's a it's a commnian narrative 487 00:29:55,880 --> 00:30:00,800 Speaker 1: for the right and ye yeah, and everything's been super 488 00:30:00,840 --> 00:30:04,560 Speaker 1: conspiracy theory heavy. There's this woman this like she's like 489 00:30:04,600 --> 00:30:07,920 Speaker 1: a walking conspiracy theory running for Secretary of State in Michigan. 490 00:30:07,960 --> 00:30:11,200 Speaker 1: Her name is Christina Karamo. She tried to cite the 491 00:30:11,280 --> 00:30:16,720 Speaker 1: Denes de Susa fucking fantasy like conspiracy documentary two thousand 492 00:30:16,840 --> 00:30:19,400 Speaker 1: Mules to try and pretty much argue that like you know, 493 00:30:19,440 --> 00:30:22,720 Speaker 1: Actuallyology Detroit's votes need to be contested or thrown out 494 00:30:22,920 --> 00:30:26,560 Speaker 1: just based on what I've seen. The judge luckily laughed 495 00:30:26,560 --> 00:30:29,520 Speaker 1: her out of the courtroom, but but they tried it 496 00:30:29,640 --> 00:30:33,719 Speaker 1: along with like clearly on its face absurd material that 497 00:30:33,760 --> 00:30:36,800 Speaker 1: does not reflect reality. But people are like really like 498 00:30:36,920 --> 00:30:38,959 Speaker 1: full voice coming into a court and be like in 499 00:30:38,960 --> 00:30:41,120 Speaker 1: this documentary, it's laying it out there. Like, so we 500 00:30:41,160 --> 00:30:44,200 Speaker 1: have serious concerns about this and any conflicts of interest 501 00:30:44,280 --> 00:30:47,280 Speaker 1: that might arise out of all of that. In Arizona, 502 00:30:47,320 --> 00:30:51,160 Speaker 1: there are already counties that are trying to audit the vote, 503 00:30:51,280 --> 00:30:54,000 Speaker 1: challenge this vote, they're like and go to the whole 504 00:30:54,040 --> 00:30:56,560 Speaker 1: thing that they want to get, like a hand recount. 505 00:30:57,160 --> 00:30:59,480 Speaker 1: Then this has been a huge thing for the for 506 00:30:59,560 --> 00:31:02,360 Speaker 1: maggot Evil is to get in on this like hand 507 00:31:02,560 --> 00:31:05,640 Speaker 1: like hand counted ballots. You know, they say voting amish 508 00:31:05,800 --> 00:31:08,800 Speaker 1: or whatever. And the whole thing is because they believe 509 00:31:08,840 --> 00:31:14,000 Speaker 1: the computers have Venezuelan malware that's against white supremacy. So 510 00:31:14,040 --> 00:31:16,800 Speaker 1: we gotta we gotta just you know, use our hands 511 00:31:16,800 --> 00:31:20,200 Speaker 1: to count this. But just so you know, hand counts 512 00:31:20,240 --> 00:31:23,760 Speaker 1: are fucking bad, Okay. A two thousand eighteen study found 513 00:31:23,760 --> 00:31:26,120 Speaker 1: that when you do a hand count, it's less accurate 514 00:31:26,160 --> 00:31:29,840 Speaker 1: than machine counts, obviously, and they've also found in previous 515 00:31:29,880 --> 00:31:33,800 Speaker 1: accounts that there's around a two error rate, which is 516 00:31:34,080 --> 00:31:37,520 Speaker 1: not insignificant when you're dealing with like hundreds of thousands 517 00:31:37,600 --> 00:31:41,280 Speaker 1: or millions of votes that could easily put an election 518 00:31:41,440 --> 00:31:44,200 Speaker 1: one way or the other. So there is a lot 519 00:31:44,240 --> 00:31:46,680 Speaker 1: and again this all helps down, This all helps to 520 00:31:46,800 --> 00:31:50,440 Speaker 1: slow down the announcement of a winner, which is and 521 00:31:50,560 --> 00:31:53,960 Speaker 1: it's that period where the freaks like Rudy Giuliani you 522 00:31:54,000 --> 00:31:56,640 Speaker 1: get to do their ship stirring song and dance to 523 00:31:56,720 --> 00:32:00,680 Speaker 1: get the base to reject the election. And that's we're 524 00:32:00,720 --> 00:32:04,520 Speaker 1: definitely seeing that playbook basically kind of you know, showing 525 00:32:04,520 --> 00:32:08,360 Speaker 1: its face all over again in these midterms. It's interesting 526 00:32:08,360 --> 00:32:12,840 Speaker 1: to watch Brazil's election because in both cases they voted 527 00:32:12,880 --> 00:32:15,440 Speaker 1: in the morning and at night the results were in 528 00:32:16,080 --> 00:32:21,080 Speaker 1: and it was I think they have more like more 529 00:32:21,280 --> 00:32:25,200 Speaker 1: people buying more into the voting technology, which Bulsonaro was 530 00:32:26,440 --> 00:32:30,000 Speaker 1: you know, arguing was corrupt or whatever, but it's it's 531 00:32:30,040 --> 00:32:33,000 Speaker 1: one of the most efficient electoral systems. So like all 532 00:32:33,040 --> 00:32:36,600 Speaker 1: of this inefficiency is built into the system for a reason. 533 00:32:37,200 --> 00:32:41,120 Speaker 1: You know. It's like, yeah, it helps people. It helps 534 00:32:41,160 --> 00:32:45,440 Speaker 1: the media, like around the around the world for the 535 00:32:45,480 --> 00:32:48,120 Speaker 1: most part, Like by law, the French observe a period 536 00:32:48,120 --> 00:32:51,600 Speaker 1: of no electoral press coverage starting forty four hours before 537 00:32:51,600 --> 00:32:54,479 Speaker 1: an election. In the UK, TV and radio stations are 538 00:32:54,520 --> 00:32:57,280 Speaker 1: prohibited from covering the election when the polls are open, 539 00:32:57,640 --> 00:33:00,640 Speaker 1: so like at least like during voting, are not allowed 540 00:33:00,680 --> 00:33:05,800 Speaker 1: to be putting like wild conspiracy theories out on the air, 541 00:33:06,400 --> 00:33:09,560 Speaker 1: or at least that's how it would affect America. Many 542 00:33:09,600 --> 00:33:12,960 Speaker 1: countries there's a blackout period ranging from one to ten 543 00:33:13,080 --> 00:33:15,520 Speaker 1: days before an election in which opinion polls may not 544 00:33:15,600 --> 00:33:19,440 Speaker 1: be publicly released, but like it really feels like social 545 00:33:19,440 --> 00:33:24,000 Speaker 1: media needs to like come together and that this will 546 00:33:24,040 --> 00:33:27,400 Speaker 1: probably not happen unless there's some sort of tragedy or 547 00:33:27,680 --> 00:33:30,400 Speaker 1: act of violence, but needs to come together and be like, 548 00:33:30,440 --> 00:33:35,760 Speaker 1: we're not allowing people to, you know, spread misinformation about 549 00:33:35,800 --> 00:33:40,720 Speaker 1: elections like as the elections are happening, because it's it's 550 00:33:40,760 --> 00:33:43,240 Speaker 1: just it's just getting worse and worse, and it's going 551 00:33:43,280 --> 00:33:45,280 Speaker 1: to keep getting worse and worse. And I don't I 552 00:33:45,320 --> 00:33:47,400 Speaker 1: don't know that there's anything. I mean, maybe a social 553 00:33:47,400 --> 00:33:51,240 Speaker 1: media band doesn't even doesn't even fix it, but it doesn't. 554 00:33:51,240 --> 00:33:53,520 Speaker 1: I mean, I wish the social media band would fix 555 00:33:53,920 --> 00:33:57,920 Speaker 1: white supremacy like that, but I'm not sure it will 556 00:33:58,040 --> 00:34:00,120 Speaker 1: because you know, what we're witnessing too, is this the 557 00:34:00,120 --> 00:34:03,440 Speaker 1: Republicans biggest fears are coming true, like as a party 558 00:34:03,560 --> 00:34:06,320 Speaker 1: or like as an ideology, right that they that their 559 00:34:06,440 --> 00:34:10,319 Speaker 1: idea of America is not really the dominant one and 560 00:34:10,400 --> 00:34:13,719 Speaker 1: a more diverse, inclusive one is emerging, so they are 561 00:34:13,760 --> 00:34:16,960 Speaker 1: targeting them and trying to hold onto this sad, outdated 562 00:34:17,080 --> 00:34:19,759 Speaker 1: version of the country by any means necessary, even if 563 00:34:19,760 --> 00:34:23,040 Speaker 1: that means disinformation and political violence. The thing that I 564 00:34:23,040 --> 00:34:26,759 Speaker 1: want to point out is, like you go on Fox News, right, 565 00:34:27,000 --> 00:34:30,160 Speaker 1: all conservative media is telling their base is that we 566 00:34:30,320 --> 00:34:34,640 Speaker 1: got this. There's no stopping the red wave unless there's 567 00:34:34,719 --> 00:34:39,560 Speaker 1: massive fraud. That's the only way we lose this one, y'all. 568 00:34:39,680 --> 00:34:43,319 Speaker 1: That's that message is being really consistently reinforced from the 569 00:34:43,320 --> 00:34:48,040 Speaker 1: pundits down to the candidates. So if anything resembling even 570 00:34:48,080 --> 00:34:51,040 Speaker 1: a purple wave happens, there's gonna be a lot of 571 00:34:51,120 --> 00:34:53,759 Speaker 1: hurt feelings or you know, they'll be able to weaponize 572 00:34:53,800 --> 00:34:58,359 Speaker 1: this sort of ill informed expectation of viewers to then say, well, 573 00:34:58,400 --> 00:35:01,160 Speaker 1: you know what, probably of fraud, and that's why we 574 00:35:01,200 --> 00:35:03,600 Speaker 1: need to begin challenging all these other elections. I'm just 575 00:35:03,640 --> 00:35:05,520 Speaker 1: gonna play this clip really quick so you can hear 576 00:35:05,560 --> 00:35:09,600 Speaker 1: about this. Is Jesse Waters on Fox basically saying like, 577 00:35:09,840 --> 00:35:12,040 Speaker 1: it's gonna be a red wave, folks. It's gonna be 578 00:35:12,080 --> 00:35:14,719 Speaker 1: a red wave, and the horse Track won't be the 579 00:35:14,760 --> 00:35:17,440 Speaker 1: only place we see a historic beat town this week, 580 00:35:17,760 --> 00:35:20,040 Speaker 1: for less than twenty four hours from the first polls 581 00:35:20,080 --> 00:35:23,160 Speaker 1: closing in the mid term elections, and Republicans are charging 582 00:35:23,160 --> 00:35:25,480 Speaker 1: for the finish line are we looking at one of 583 00:35:25,520 --> 00:35:29,399 Speaker 1: the biggest red waves in American history? Well, in two 584 00:35:29,400 --> 00:35:33,160 Speaker 1: thousand and ten, Obama lost Democrats sixty three seats in 585 00:35:33,239 --> 00:35:41,000 Speaker 1: the House. Clinton dropped fifty four, Trump lost forty. All 586 00:35:41,040 --> 00:35:44,120 Speaker 1: of them had higher approval ratings than Biden does right now, 587 00:35:44,719 --> 00:35:48,560 Speaker 1: So what happens tomorrow, anything over forty House seats is 588 00:35:48,560 --> 00:35:52,200 Speaker 1: a big wave. The first polls closed around seven and 589 00:35:52,280 --> 00:35:55,160 Speaker 1: Bill Hemmer tells me that if Republicans pick up at 590 00:35:55,239 --> 00:35:57,759 Speaker 1: least two of the three House seats in Virginia, that 591 00:35:57,800 --> 00:36:01,040 Speaker 1: means we're looking at a massive wave. And don't listen 592 00:36:01,080 --> 00:36:03,480 Speaker 1: to the lies they're spewing that this could take days 593 00:36:03,640 --> 00:36:05,759 Speaker 1: or days you know, to know who want this is 594 00:36:05,800 --> 00:36:08,799 Speaker 1: total b s wave Like this, we should know that 595 00:36:08,800 --> 00:36:11,680 Speaker 1: that that night, basically who won the Senate in the House, 596 00:36:12,239 --> 00:36:18,239 Speaker 1: anything that happens Wednesday into Thursday's gravy. So using like 597 00:36:18,239 --> 00:36:21,600 Speaker 1: like political precedent or historical precedents, say, like you know, 598 00:36:21,719 --> 00:36:24,640 Speaker 1: mid terms usually go the other way, but also not 599 00:36:24,719 --> 00:36:27,879 Speaker 1: like completely ignoring the fact how much more enthusiasm there 600 00:36:27,960 --> 00:36:30,960 Speaker 1: is from Democrats, because like people are seeing an incredible 601 00:36:31,000 --> 00:36:33,960 Speaker 1: erosion of their person like their rights happened before their eyes. 602 00:36:34,000 --> 00:36:36,000 Speaker 1: I would motivate a lot of people to come out 603 00:36:36,320 --> 00:36:39,200 Speaker 1: to vote against them, but again just doing a whole 604 00:36:39,239 --> 00:36:41,759 Speaker 1: thing of like, don't buy this stuff that they have 605 00:36:41,840 --> 00:36:46,080 Speaker 1: to count these other spooky votes somewhere. But yeah, oh yeah, 606 00:36:46,080 --> 00:36:48,160 Speaker 1: please please chime in yes, yes, yes, yes, yes. This 607 00:36:48,160 --> 00:36:52,359 Speaker 1: whole show is please always um. Yeah. So that's that's 608 00:36:52,360 --> 00:36:54,440 Speaker 1: been I think when you look at that and him 609 00:36:54,480 --> 00:36:57,200 Speaker 1: really trying to tell people just ignore everything else. It's 610 00:36:57,239 --> 00:36:59,360 Speaker 1: got to be a win, that's what really freaks me up. 611 00:37:00,440 --> 00:37:02,600 Speaker 1: And that's that's what I was talking about earlier, when 612 00:37:02,600 --> 00:37:05,680 Speaker 1: when you know, so they're sending this message out to 613 00:37:05,719 --> 00:37:09,800 Speaker 1: their people, but everybody hears it. You know, this idea 614 00:37:09,880 --> 00:37:12,759 Speaker 1: of oh it's done. Oh it's a Republican wave, it's 615 00:37:12,760 --> 00:37:16,319 Speaker 1: a red wave. This is you know, historically has been 616 00:37:17,080 --> 00:37:23,360 Speaker 1: the election where the dominant party in charge is punished. Therefore, 617 00:37:24,680 --> 00:37:27,719 Speaker 1: you know, I mean it should be therefore I need 618 00:37:27,760 --> 00:37:30,400 Speaker 1: to go out and vote. But then it becomes therefore, 619 00:37:31,280 --> 00:37:33,480 Speaker 1: you know, if this is already happening, then why do 620 00:37:33,560 --> 00:37:36,560 Speaker 1: I need to go Why do I need to be 621 00:37:36,640 --> 00:37:40,359 Speaker 1: a part of this? And if if it's already set 622 00:37:40,440 --> 00:37:44,080 Speaker 1: up beforehand, and so this idea of a red wave. 623 00:37:45,320 --> 00:37:50,200 Speaker 1: It's it's like, it's not just a dog whistle for Republicans. 624 00:37:50,280 --> 00:37:52,880 Speaker 1: I feel like it also affects, if it affects everybody 625 00:37:52,880 --> 00:37:56,000 Speaker 1: who's who's hearing these messages. And honestly, you know, going 626 00:37:56,040 --> 00:37:59,880 Speaker 1: back to I come from Sudan, you know, a dictatorship, 627 00:38:00,840 --> 00:38:05,840 Speaker 1: and these tactics remind me of what what was happening 628 00:38:05,840 --> 00:38:10,680 Speaker 1: in Sudan around elections whenever elections did happen. It's these 629 00:38:10,680 --> 00:38:15,840 Speaker 1: same kinds of tactics. And I'm just wondering whether folks 630 00:38:15,920 --> 00:38:19,319 Speaker 1: are taking you know, are are kind of looking at 631 00:38:19,360 --> 00:38:26,360 Speaker 1: what what these other dictatorship's theocracies are doing and taking 632 00:38:26,480 --> 00:38:29,280 Speaker 1: a page out of their playbooks. It's just it's also 633 00:38:29,600 --> 00:38:34,480 Speaker 1: eerily familiar, right, Oh yeah, yeah, I mean the I 634 00:38:34,880 --> 00:38:37,600 Speaker 1: think there are many ways, many ways that the right 635 00:38:37,680 --> 00:38:41,799 Speaker 1: and the Republican Party has doubled down on authoritarianism. And 636 00:38:41,840 --> 00:38:46,160 Speaker 1: there's the massive history to to pull from when it 637 00:38:46,200 --> 00:38:49,680 Speaker 1: comes to that, and a massive present to pull from 638 00:38:49,719 --> 00:38:53,800 Speaker 1: to see like what's what's working in the present tense 639 00:38:54,040 --> 00:38:59,520 Speaker 1: and countries that have social media and authoritarianism or anti 640 00:38:59,560 --> 00:39:04,120 Speaker 1: democrat addict power structures in place. Yeah, but even this 641 00:39:04,239 --> 00:39:07,719 Speaker 1: idea y'all were saying about how other countries sort of 642 00:39:07,760 --> 00:39:12,000 Speaker 1: shut down media to comment on any sort of commentary 643 00:39:12,080 --> 00:39:16,400 Speaker 1: within days before an election. Even that would be considered 644 00:39:16,960 --> 00:39:21,040 Speaker 1: extremely authoritarian and like draconian if that ever happened in 645 00:39:21,040 --> 00:39:23,960 Speaker 1: this country, right, I can't even see that even flying. 646 00:39:24,080 --> 00:39:29,319 Speaker 1: Although I completely I'm completely a pent on the side 647 00:39:29,320 --> 00:39:32,480 Speaker 1: of that should be something that happens just to even 648 00:39:32,520 --> 00:39:35,920 Speaker 1: just to see the outcome of an election. But I 649 00:39:35,920 --> 00:39:38,200 Speaker 1: don't know if you guys think that's even something that 650 00:39:39,800 --> 00:39:42,560 Speaker 1: a possibility here. I just don't think it would even 651 00:39:42,600 --> 00:39:45,759 Speaker 1: even be considered, especially when you have, you know, someone 652 00:39:45,760 --> 00:39:50,160 Speaker 1: like Elon Musk right now saying that the voices of 653 00:39:50,200 --> 00:39:53,080 Speaker 1: Twitter should be you know, held as the authority and 654 00:39:53,160 --> 00:39:56,200 Speaker 1: not really you know, journalistic kind of opinion is not 655 00:39:56,680 --> 00:39:59,120 Speaker 1: is overrated, And so I just I feel like we're 656 00:39:59,120 --> 00:40:02,080 Speaker 1: going more and more on the direction of it being 657 00:40:02,320 --> 00:40:04,279 Speaker 1: all for one, one for all, everyone kind of can 658 00:40:04,320 --> 00:40:07,520 Speaker 1: weigh in on this, and I just don't ever see 659 00:40:07,560 --> 00:40:10,680 Speaker 1: that happening in this country. I think you're at the 660 00:40:10,719 --> 00:40:13,719 Speaker 1: same time, you know, we're both journalists, Leela and I, 661 00:40:13,840 --> 00:40:17,319 Speaker 1: and this this idea of this war on journalists, right, 662 00:40:17,480 --> 00:40:21,880 Speaker 1: like this idea of don't believe them or like quote 663 00:40:21,960 --> 00:40:25,200 Speaker 1: unquote as you were saying earlier, mainstream media, you better, 664 00:40:25,560 --> 00:40:28,680 Speaker 1: you know, be discerning and be careful who you listen to. 665 00:40:28,960 --> 00:40:33,400 Speaker 1: And at some point, you know, Trump was calling for 666 00:40:33,560 --> 00:40:38,000 Speaker 1: hurting journalists as we remember. So it's it's all this 667 00:40:38,080 --> 00:40:41,080 Speaker 1: war of war of information and who who to believe 668 00:40:41,200 --> 00:40:44,440 Speaker 1: and who not to believe, and it's getting messier and 669 00:40:44,480 --> 00:40:47,560 Speaker 1: messier on social media. I mean, I'm a person who 670 00:40:47,640 --> 00:40:52,040 Speaker 1: honestly I have not been on Twitter as much to 671 00:40:52,200 --> 00:40:57,040 Speaker 1: preserve my own sanity and mental health. But you know, 672 00:40:58,239 --> 00:41:00,719 Speaker 1: but it's a place that millions and millions people rely 673 00:41:00,960 --> 00:41:04,879 Speaker 1: on for information every single day, and that's scary to me. Yeah, 674 00:41:04,920 --> 00:41:07,919 Speaker 1: I don't. I don't think that Elon Musk is going 675 00:41:07,960 --> 00:41:10,960 Speaker 1: to turn around and be like this election was a mess. 676 00:41:11,000 --> 00:41:16,120 Speaker 1: We're gonna I'm going to forego like any any electoral 677 00:41:16,360 --> 00:41:20,279 Speaker 1: tweets like will be stopped by by Twitter. I just 678 00:41:20,440 --> 00:41:25,959 Speaker 1: think that it's valuable for Americans to know that there 679 00:41:26,080 --> 00:41:30,440 Speaker 1: is another way that other countries don't view that as authoritarian. 680 00:41:30,480 --> 00:41:34,600 Speaker 1: They just view that as a better function of the media. 681 00:41:35,040 --> 00:41:41,120 Speaker 1: And when you look at how American media covers electoral politics, 682 00:41:41,360 --> 00:41:47,160 Speaker 1: it's so focused. It's like suddenly the mainstream media turns 683 00:41:47,200 --> 00:41:52,200 Speaker 1: into ESPN and it's all just about covering who's winning. Oh, 684 00:41:52,239 --> 00:41:55,160 Speaker 1: he just got owned in that debate because he's come 685 00:41:55,239 --> 00:42:02,000 Speaker 1: from the stroke. You know, it's just all it's all 686 00:42:02,080 --> 00:42:04,840 Speaker 1: covering the horse race. I mean they talk about that. What. 687 00:42:04,920 --> 00:42:09,880 Speaker 1: I worked at ABC News for the two thousand four election, 688 00:42:10,200 --> 00:42:15,200 Speaker 1: and they had this big, like town hall meeting ahead 689 00:42:15,200 --> 00:42:17,560 Speaker 1: of the election where they were like, how do we 690 00:42:17,880 --> 00:42:22,319 Speaker 1: cover things in a way that isn't just covering the 691 00:42:22,360 --> 00:42:25,480 Speaker 1: horse race? And then like what you know, us our 692 00:42:25,520 --> 00:42:29,359 Speaker 1: coverage becomes coverage of our coverage of the horse race 693 00:42:29,440 --> 00:42:31,719 Speaker 1: because it's like, Okay, this narrative is picking up, so 694 00:42:31,760 --> 00:42:34,120 Speaker 1: now we have to Now we're all talking about the 695 00:42:34,239 --> 00:42:39,200 Speaker 1: narrative around the narrative, and it just becomes this complete 696 00:42:39,440 --> 00:42:44,279 Speaker 1: mess that's all just designed to create intrigue, but it 697 00:42:44,360 --> 00:42:50,560 Speaker 1: actually is has created a system that is very confusing, 698 00:42:51,040 --> 00:42:54,800 Speaker 1: is very alienating to people wondering why they should vote, 699 00:42:55,239 --> 00:43:00,880 Speaker 1: and I think just you know, anxiety inducing. Yeah, if 700 00:43:01,239 --> 00:43:04,839 Speaker 1: there were ten days before the election where the mainstream 701 00:43:04,920 --> 00:43:08,719 Speaker 1: media and and Fox News like had to just not 702 00:43:09,040 --> 00:43:13,520 Speaker 1: cover the election, Like I wonder if that would change 703 00:43:13,680 --> 00:43:16,920 Speaker 1: overall how they covered things. You know, like what before 704 00:43:17,160 --> 00:43:20,680 Speaker 1: everybody should be listening to public radio and watching public 705 00:43:20,800 --> 00:43:26,120 Speaker 1: media not a play at all. But we're quieter, We'll 706 00:43:26,160 --> 00:43:29,880 Speaker 1: get you the information without a lot of the inflammatory 707 00:43:30,040 --> 00:43:35,120 Speaker 1: kind of side stuff. We go deeper than a lot 708 00:43:35,160 --> 00:43:38,040 Speaker 1: of these channels. And because we're just you know, we 709 00:43:38,040 --> 00:43:40,000 Speaker 1: don't have to run to the commercial right, we don't 710 00:43:40,040 --> 00:43:46,480 Speaker 1: have to kind of satisfy that that that sponsor. Look 711 00:43:46,520 --> 00:43:48,560 Speaker 1: at Leela smiling, she's like, had no I put in 712 00:43:48,600 --> 00:43:52,000 Speaker 1: a plug for public I guess my point is is 713 00:43:52,040 --> 00:43:56,480 Speaker 1: that public radio is seen by the a lot of 714 00:43:56,520 --> 00:43:59,399 Speaker 1: Americans as part of the problem. You know, that they're 715 00:43:59,480 --> 00:44:02,640 Speaker 1: left lean, thing, that they're liberal, that they're biased, you 716 00:44:02,680 --> 00:44:06,440 Speaker 1: know sort of things. So I just feel, you know, 717 00:44:06,480 --> 00:44:10,560 Speaker 1: you have a huge sector of it's all just you know, 718 00:44:10,680 --> 00:44:14,480 Speaker 1: it's all very subjective, right, you know, people are are 719 00:44:14,560 --> 00:44:18,880 Speaker 1: leaning towards what they more realistically feel are are is 720 00:44:18,880 --> 00:44:23,640 Speaker 1: more aligned with them, And unfortunately, the stories and the 721 00:44:23,719 --> 00:44:27,120 Speaker 1: point of view and the journalism from public radio isn't 722 00:44:27,160 --> 00:44:32,480 Speaker 1: respected by a lot of Americans. Mm hmm. Yeah. I 723 00:44:32,480 --> 00:44:34,799 Speaker 1: think fortunately for all the talk of like you know, 724 00:44:34,880 --> 00:44:38,120 Speaker 1: there's like I'm looking at like CNN right there owned 725 00:44:38,120 --> 00:44:41,200 Speaker 1: by like a Republican you know, and they're we're starting 726 00:44:41,200 --> 00:44:42,839 Speaker 1: to see how they're trying to be like we need 727 00:44:42,880 --> 00:44:45,880 Speaker 1: to like center this thing a little bit. You're like, no, 728 00:44:46,160 --> 00:44:48,640 Speaker 1: it's not what you mean, but okay, we can use that, 729 00:44:48,840 --> 00:44:51,920 Speaker 1: can use that terminology. Twitter is now owned by Elon 730 00:44:51,960 --> 00:44:55,160 Speaker 1: who's out here being like vote republican Fox obviously, like 731 00:44:55,719 --> 00:44:58,480 Speaker 1: there's more to say how much of a conservative bend 732 00:44:58,560 --> 00:45:00,640 Speaker 1: media has and just sort of where been nises the 733 00:45:00,760 --> 00:45:03,680 Speaker 1: term like liberal media to say, like they're trying to 734 00:45:03,719 --> 00:45:06,920 Speaker 1: tell people about like to be humane or stories that 735 00:45:06,920 --> 00:45:09,879 Speaker 1: are like centering the human experience rather than like these 736 00:45:09,960 --> 00:45:14,120 Speaker 1: like really violent sort of like political stereotypes that get 737 00:45:14,120 --> 00:45:16,880 Speaker 1: people to just stop thinking and be like yeah, uh huh, yep, okay, 738 00:45:16,920 --> 00:45:19,000 Speaker 1: I don't need to hear more. I'm now I'm fired 739 00:45:19,080 --> 00:45:23,960 Speaker 1: up because someone is like has has their books paid for? 740 00:45:24,280 --> 00:45:27,440 Speaker 1: As a student wanted what and if they're if the 741 00:45:27,480 --> 00:45:30,239 Speaker 1: people who own a company or Democrats for the most part, 742 00:45:30,239 --> 00:45:33,440 Speaker 1: they're like Rick Caruso Democrats, you know, they're like the 743 00:45:33,440 --> 00:45:37,000 Speaker 1: sort of Democrats who support billionaire rulers because they have 744 00:45:37,040 --> 00:45:41,120 Speaker 1: themselves they're billionaires, Like I don't what is the answer 745 00:45:41,440 --> 00:45:46,840 Speaker 1: non profit not media truly and honestly, I think that 746 00:45:47,120 --> 00:45:50,040 Speaker 1: the thing is there should be no you shouldn't have 747 00:45:50,360 --> 00:45:53,800 Speaker 1: like everyone should have a fixed budget for political ads 748 00:45:53,840 --> 00:45:56,280 Speaker 1: like in other countries. It's like no one can blow 749 00:45:56,280 --> 00:45:59,239 Speaker 1: anyone else out on the spend. That's when if you can't, 750 00:45:59,400 --> 00:46:01,200 Speaker 1: if you can't take the money out of politics and 751 00:46:01,239 --> 00:46:03,440 Speaker 1: reverse like Citizens United and ship like that, then there 752 00:46:03,480 --> 00:46:06,040 Speaker 1: have to be other like levers on it where someone's 753 00:46:06,160 --> 00:46:09,960 Speaker 1: dark money spending doesn't completely make give an advantage to 754 00:46:10,040 --> 00:46:14,040 Speaker 1: some ghoul who's like just there to merely act out 755 00:46:14,040 --> 00:46:17,240 Speaker 1: the will of some like nefarious think tank or whatever 756 00:46:17,440 --> 00:46:19,840 Speaker 1: pack or something like that. So I don't know. I 757 00:46:19,840 --> 00:46:21,680 Speaker 1: mean like that, I think always the answer is just 758 00:46:21,680 --> 00:46:24,400 Speaker 1: gonna first is just to get the money out of politics, 759 00:46:24,440 --> 00:46:27,319 Speaker 1: like just to get the corporate spend out. But that 760 00:46:27,480 --> 00:46:30,799 Speaker 1: is such a gigantic lift at this point in this country. Like, yeah, 761 00:46:30,800 --> 00:46:34,000 Speaker 1: I guess the other things are like properly supported media 762 00:46:34,080 --> 00:46:38,200 Speaker 1: that aren't relying on advertisements or doing sponsored content with 763 00:46:38,239 --> 00:46:41,319 Speaker 1: like fossil fuel companies or something and then pretending it's 764 00:46:41,360 --> 00:46:43,360 Speaker 1: news and things like that. But I think at the 765 00:46:43,440 --> 00:46:45,120 Speaker 1: end of the day, It's just that, like money is 766 00:46:45,160 --> 00:46:47,760 Speaker 1: on short supply for people who are doing good things, 767 00:46:47,880 --> 00:46:49,640 Speaker 1: and the people with a lot of money would rather 768 00:46:49,680 --> 00:46:52,640 Speaker 1: fund the things that maintain the status quo. And that 769 00:46:52,760 --> 00:46:56,160 Speaker 1: that's that's really the the biggest challenge I feel. Yeah, 770 00:46:56,719 --> 00:47:00,799 Speaker 1: the effery that you were talking about, mm hmm, yeah, 771 00:47:01,400 --> 00:47:04,759 Speaker 1: and again feeds into any person's I understanding of like 772 00:47:04,840 --> 00:47:07,240 Speaker 1: what's the point of doing something here, what's the point 773 00:47:07,239 --> 00:47:12,520 Speaker 1: of voting. I've I've only known you know, dire straits 774 00:47:12,640 --> 00:47:15,880 Speaker 1: for most of my life, and I'm not able to 775 00:47:15,920 --> 00:47:18,319 Speaker 1: connect how voting for this person is going to do that. 776 00:47:18,600 --> 00:47:20,840 Speaker 1: And I think that's you know, part of it is 777 00:47:20,880 --> 00:47:24,760 Speaker 1: that we're just not able to also offer enough people 778 00:47:24,880 --> 00:47:27,719 Speaker 1: the like the coverage to see that there are other 779 00:47:27,920 --> 00:47:30,839 Speaker 1: ways that people work together to make good outcomes. It's 780 00:47:30,840 --> 00:47:34,000 Speaker 1: not always necessarily in like what's happening in the federal government, 781 00:47:34,200 --> 00:47:36,520 Speaker 1: but to at least begin investing in like what it 782 00:47:36,560 --> 00:47:39,080 Speaker 1: means to be part of your community, that the people 783 00:47:39,120 --> 00:47:41,120 Speaker 1: who are making decisions in your community, and hopefully that 784 00:47:41,200 --> 00:47:46,000 Speaker 1: can you know, reverberate further out. But all right, well, 785 00:47:46,040 --> 00:47:48,920 Speaker 1: let's take a quick break to hear from our corporate sponsors. 786 00:47:49,239 --> 00:47:54,520 Speaker 1: And we'll be right back to talk about movie theater Candy, 787 00:48:03,160 --> 00:48:07,400 Speaker 1: and we're back and what kinda forever drops in two days. 788 00:48:07,719 --> 00:48:11,560 Speaker 1: As of with the day of the episode drops, it's Wednesday, 789 00:48:11,760 --> 00:48:15,880 Speaker 1: drops on Friday. Reviews are in the look there between 790 00:48:16,040 --> 00:48:21,080 Speaker 1: like solid and glowing. To producer Joel, I think saw it, 791 00:48:21,120 --> 00:48:23,279 Speaker 1: and I'm not allowed to say what she said, but 792 00:48:23,800 --> 00:48:27,120 Speaker 1: suffice it to say, it looks very good. Things are 793 00:48:27,160 --> 00:48:33,080 Speaker 1: looking very good looking for this movie pretty good. Early 794 00:48:33,239 --> 00:48:36,160 Speaker 1: estimates suggests that everyone in America is going to see 795 00:48:36,160 --> 00:48:40,320 Speaker 1: it at least twice this weekend. M The dollar figures 796 00:48:40,320 --> 00:48:44,840 Speaker 1: are wild. They're like, yeah, we're seeing like two fifty 797 00:48:44,880 --> 00:48:48,000 Speaker 1: million in like one week, and it's crazy. Anyways, a 798 00:48:48,000 --> 00:48:50,000 Speaker 1: lot of people are gonna see this movie. I'm going 799 00:48:50,040 --> 00:48:51,839 Speaker 1: to see this movie. I don't know if I'm gonna 800 00:48:51,840 --> 00:48:54,759 Speaker 1: see it this weekend, but I'm going to see it asap. 801 00:48:55,239 --> 00:49:01,600 Speaker 1: And it raises the question. There's recently a Cinemark map. 802 00:49:01,800 --> 00:49:05,480 Speaker 1: So Cinemark the theater chain created one of those maps 803 00:49:05,520 --> 00:49:11,320 Speaker 1: where like, this is everybody's favorite movie theater Candy by state, 804 00:49:11,960 --> 00:49:15,440 Speaker 1: and it is one of those maps that actually seems 805 00:49:15,480 --> 00:49:18,640 Speaker 1: to be based in fact. You can tell because the 806 00:49:19,000 --> 00:49:22,799 Speaker 1: results are pretty boring in some cases, Like there a 807 00:49:22,840 --> 00:49:24,640 Speaker 1: big chunk of the country is just like, yeah, we 808 00:49:24,719 --> 00:49:28,680 Speaker 1: like eminem peanuts, just just like you would expect because 809 00:49:28,800 --> 00:49:31,880 Speaker 1: eminem peanuts are good. Somebody writing about it was like, 810 00:49:32,280 --> 00:49:35,000 Speaker 1: is it do they like eminem peanuts because they come 811 00:49:35,040 --> 00:49:38,360 Speaker 1: in yellow rappers and that's the easier, easiest snack to 812 00:49:38,440 --> 00:49:41,359 Speaker 1: see in the dark. It's like, no, have you ever 813 00:49:41,440 --> 00:49:44,480 Speaker 1: eaten in a movie theater? It's about no, look eating 814 00:49:44,560 --> 00:49:46,880 Speaker 1: the whole time. You're like one of my bag of 815 00:49:46,920 --> 00:49:49,959 Speaker 1: whatever by my lap, just keep shuffling that into your mouth. 816 00:49:50,200 --> 00:49:53,200 Speaker 1: Who is putting that thought into it is being like 817 00:49:53,280 --> 00:49:55,440 Speaker 1: which of these is going to be easiest for me 818 00:49:55,520 --> 00:49:58,879 Speaker 1: to see in the dark? Right? First off, I want 819 00:49:58,880 --> 00:50:03,200 Speaker 1: to ask what is every body's favorite movie candy, just 820 00:50:03,440 --> 00:50:06,000 Speaker 1: so we can establish some kind of bassline here. Yeah, 821 00:50:06,760 --> 00:50:13,359 Speaker 1: mine isn't even on here. It's the raisinets. Thank you, 822 00:50:13,640 --> 00:50:17,239 Speaker 1: thank you very much, thank you. I mean, have you 823 00:50:17,239 --> 00:50:22,000 Speaker 1: guys ever taken some lightly buttered popcorn? Just slightly, you know, 824 00:50:22,120 --> 00:50:25,120 Speaker 1: just a dap. You take your raisinnuts, you sprinkle them 825 00:50:25,120 --> 00:50:27,400 Speaker 1: on top of that popcorn. You sit in the dark, 826 00:50:27,680 --> 00:50:32,120 Speaker 1: and handful is like a bite of a burst of 827 00:50:32,200 --> 00:50:36,680 Speaker 1: surprise and joy. I just I've also had major stomach 828 00:50:36,719 --> 00:50:41,560 Speaker 1: pains and vomiting after it's do not sit well in 829 00:50:41,640 --> 00:50:45,120 Speaker 1: my stomach. But when oh, they're so fun going down, 830 00:50:45,760 --> 00:50:51,759 Speaker 1: and the tastes like I don't like their taste at all. Controversial. 831 00:50:52,000 --> 00:50:54,680 Speaker 1: Mainly I have not gone to the movies yet. I mean, 832 00:50:55,000 --> 00:50:57,239 Speaker 1: you should come here. You could just drive up and 833 00:50:57,280 --> 00:51:00,200 Speaker 1: we should go see um Wakanda together. We could see 834 00:51:00,200 --> 00:51:03,120 Speaker 1: you three times. We're going I'm going purposefully to the 835 00:51:03,200 --> 00:51:08,520 Speaker 1: blackest theater in Oakland at Grand Lake, Grand Lake Theater. 836 00:51:09,200 --> 00:51:12,840 Speaker 1: That's where we're going to go see it. And mine 837 00:51:12,920 --> 00:51:23,239 Speaker 1: is whoppers here as chocolate. They're balls, thank you very much. Yes, 838 00:51:24,280 --> 00:51:27,880 Speaker 1: although they crunch and that's not ideal for a movie situation. 839 00:51:28,320 --> 00:51:33,680 Speaker 1: I realized that still it's love whoppers. Mine's also not 840 00:51:33,719 --> 00:51:37,439 Speaker 1: on here. But Miles, you do yours first. But what's 841 00:51:37,480 --> 00:51:42,080 Speaker 1: going on? You're really nonrepresentative. I'm telling you. It's like 842 00:51:42,160 --> 00:51:44,400 Speaker 1: the elections. Thank you very we're out here. It just 843 00:51:44,480 --> 00:51:47,279 Speaker 1: looks we contain Malta. This is America, you know, don't 844 00:51:47,360 --> 00:51:50,279 Speaker 1: just reduce us to one logo on the state. I 845 00:51:50,320 --> 00:51:53,640 Speaker 1: would eat like nerds ropes if they have them, Yeah, 846 00:51:54,600 --> 00:51:57,920 Speaker 1: fantastic or like Twizzler. I think I had some recently 847 00:51:59,280 --> 00:52:01,400 Speaker 1: that you could like split apart. Though, No, it's like 848 00:52:01,480 --> 00:52:03,279 Speaker 1: our thing is like a sweet and oh you know what, 849 00:52:03,320 --> 00:52:06,120 Speaker 1: it could be sweet and tart ropes. Sweet tart ropes 850 00:52:06,320 --> 00:52:11,960 Speaker 1: are the number one as a theater in Alaska. Now 851 00:52:12,080 --> 00:52:18,040 Speaker 1: that's next to eating Dungeoness crab in the theater. But yeah, 852 00:52:18,040 --> 00:52:21,560 Speaker 1: I like I like the fruity kind of like sour candies. 853 00:52:21,960 --> 00:52:25,400 Speaker 1: Like I'll go crazy if I'm like on four twenty 854 00:52:25,440 --> 00:52:27,640 Speaker 1: when I went a couple of years ago, I got popcorn. 855 00:52:27,800 --> 00:52:29,440 Speaker 1: I get a little bit bit of a cup of 856 00:52:29,520 --> 00:52:32,759 Speaker 1: nacho cheese to dip my popcorn in. Wow, okay, because 857 00:52:32,800 --> 00:52:37,360 Speaker 1: I'm a savage. Then I get the like the candy 858 00:52:37,480 --> 00:52:39,640 Speaker 1: ropes or whatever, and then I got to have some 859 00:52:39,680 --> 00:52:42,040 Speaker 1: kind of peanut butter situation. It could be recently, it 860 00:52:42,040 --> 00:52:46,200 Speaker 1: could be peanut Eminem's. Can I just say Red Vines 861 00:52:46,320 --> 00:52:51,600 Speaker 1: headquarters is five minutes away from me? Okay, So let's 862 00:52:51,600 --> 00:52:54,080 Speaker 1: say I realized that we never we just started in 863 00:52:54,320 --> 00:52:57,200 Speaker 1: talking about our favorite but we should say so at 864 00:52:57,239 --> 00:53:00,719 Speaker 1: the number one answers, Eminem peanuts and Eminem peanuts are 865 00:53:00,840 --> 00:53:05,839 Speaker 1: dominant from Texas and every state surrounding Texas. Essentially, it's 866 00:53:05,880 --> 00:53:10,120 Speaker 1: also Massachusetts, Rhode Island, Connecticut, New York, like a bunch 867 00:53:10,160 --> 00:53:12,640 Speaker 1: of a bunch of those states or not New York. 868 00:53:12,680 --> 00:53:16,040 Speaker 1: Actually New York is cookie dough bites. So eminem peanuts 869 00:53:16,080 --> 00:53:19,960 Speaker 1: have like a big stronghold in big chunks of the 870 00:53:20,000 --> 00:53:23,879 Speaker 1: country that are very populous, and also Wisconsin. And then 871 00:53:23,960 --> 00:53:28,560 Speaker 1: there is a big divide. It was mentioned before Miles 872 00:53:28,560 --> 00:53:31,480 Speaker 1: said red vines. One of you said red vines or 873 00:53:31,480 --> 00:53:34,959 Speaker 1: Twizzlers or Twizzlers or red vines, they are separate, they're 874 00:53:35,000 --> 00:53:39,200 Speaker 1: different candies and Twizzlers are the East Coast and then 875 00:53:39,280 --> 00:53:42,799 Speaker 1: red vines are. So red vines are the number one 876 00:53:42,840 --> 00:53:48,400 Speaker 1: candy Washington, Oregon, California, Nevada. It's it's the most. It 877 00:53:48,760 --> 00:53:52,799 Speaker 1: is holding down an entire Idaho, Colorado, it's holding down 878 00:53:52,840 --> 00:53:57,920 Speaker 1: that entire chunk of the map and nowhere else, nowhere else, Yeah, 879 00:53:57,960 --> 00:54:00,920 Speaker 1: but red vines. So red vines star did in Chicago, 880 00:54:01,480 --> 00:54:04,919 Speaker 1: and Twizzlers I think started in New York and it's 881 00:54:04,960 --> 00:54:09,759 Speaker 1: been that way since day one. That they're like, you know, regionally, 882 00:54:10,160 --> 00:54:14,839 Speaker 1: it's either you know, either the Mississippi or West of 883 00:54:14,960 --> 00:54:18,759 Speaker 1: the Rockies. We we don't know where exactly to divide it. 884 00:54:19,520 --> 00:54:22,320 Speaker 1: Red vines are dominant on one side of the country 885 00:54:22,480 --> 00:54:27,520 Speaker 1: and Twizzlers won. The story is there, Yeah, yeah, I 886 00:54:27,560 --> 00:54:29,680 Speaker 1: don't know. Yeah. I wonder if, like if you went 887 00:54:29,760 --> 00:54:34,080 Speaker 1: into like a movie theater and like fucking Maryland or something, 888 00:54:34,120 --> 00:54:35,719 Speaker 1: and you're like, let me get some red vines and 889 00:54:35,760 --> 00:54:38,880 Speaker 1: they're like red vines, Like if they would if it 890 00:54:38,880 --> 00:54:40,919 Speaker 1: would be like that kind of an outward thing, because 891 00:54:40,920 --> 00:54:42,759 Speaker 1: when I didn't know about red vines, when I grew 892 00:54:42,840 --> 00:54:45,799 Speaker 1: up on the East Coast, I only knew of Twizzlers. 893 00:54:46,200 --> 00:54:49,080 Speaker 1: I didn't know about I knew about Twizzlers from the commercials, 894 00:54:49,160 --> 00:54:52,120 Speaker 1: but I never saw Twizzlers in the store. Growing up 895 00:54:52,160 --> 00:54:55,000 Speaker 1: in l A. I always saw red vines. That big 896 00:54:55,040 --> 00:54:58,480 Speaker 1: tub of red vines. I've always like, I don't know 897 00:54:58,640 --> 00:55:00,279 Speaker 1: that used to be a thing we would drink years 898 00:55:00,280 --> 00:55:03,920 Speaker 1: out of. So Twizzlers is owned by I think Mars 899 00:55:04,080 --> 00:55:11,400 Speaker 1: or Hershey, and so I think they're Twizzlers headquarters Lancaster, Pennsylvania. 900 00:55:11,719 --> 00:55:15,360 Speaker 1: Red Vines headquarters a five minute walk from me, So 901 00:55:15,680 --> 00:55:20,040 Speaker 1: maybe it's just shorter trucking times. Yeah, I mean Twizzlers 902 00:55:20,080 --> 00:55:23,840 Speaker 1: origins are traced to New York's Young and Smiley confectionery 903 00:55:23,920 --> 00:55:26,799 Speaker 1: firm in eighteen forty five, which was bought by her 904 00:55:26,880 --> 00:55:31,400 Speaker 1: She's in nineteen seventy seven. And then the American Liquorice 905 00:55:31,480 --> 00:55:36,000 Speaker 1: Company of Chicago premiered its black liquorice vines in nineteen fourteen, 906 00:55:36,520 --> 00:55:40,520 Speaker 1: and then the classic raspberry vines, which is what Red 907 00:55:40,560 --> 00:55:44,200 Speaker 1: Vines original name was, made their debuts six years later. 908 00:55:45,480 --> 00:55:48,680 Speaker 1: Our red vines raspberries. They're supposed to be raspberry, are they? 909 00:55:48,760 --> 00:55:52,799 Speaker 1: I don't funk with either really because they're they're not 910 00:55:52,920 --> 00:55:55,520 Speaker 1: tard enough. I need them to like nerd ropes are 911 00:55:55,680 --> 00:55:59,759 Speaker 1: the are are the rope that was promised like, I 912 00:56:00,080 --> 00:56:02,239 Speaker 1: need it to be like sweet and tart. I don't. 913 00:56:02,280 --> 00:56:07,280 Speaker 1: I don't like they're just both so dull. So yeah, 914 00:56:07,400 --> 00:56:12,480 Speaker 1: that that is my preferences. The sour Patch kid, my 915 00:56:12,520 --> 00:56:18,960 Speaker 1: teenage daughters, Welcome to the world candy. Yeah. I think 916 00:56:19,040 --> 00:56:22,480 Speaker 1: they mixed the best with popcorn too. I love to 917 00:56:22,760 --> 00:56:25,800 Speaker 1: dump my sour Patch kids. They also So I was 918 00:56:25,840 --> 00:56:28,359 Speaker 1: gonna say the raisin nets I said earlier, when you're 919 00:56:28,360 --> 00:56:30,479 Speaker 1: talking about raisin that's that you can dump the whole 920 00:56:30,480 --> 00:56:33,600 Speaker 1: box in. But actually raising nets. They all go to 921 00:56:33,640 --> 00:56:35,839 Speaker 1: the bottom, so you have to do a layered thing. 922 00:56:35,920 --> 00:56:39,879 Speaker 1: You have to do like an Sara patch kids, though 923 00:56:40,160 --> 00:56:43,120 Speaker 1: like for whatever reason, they don't always fall all the 924 00:56:43,160 --> 00:56:45,239 Speaker 1: way to the bottom. You can, you can dump can. 925 00:56:45,239 --> 00:56:48,800 Speaker 1: I ask a question, why are there states that have none? 926 00:56:48,880 --> 00:56:54,080 Speaker 1: Like Maine apparently has no favorite candy. They refused to 927 00:56:54,239 --> 00:56:58,920 Speaker 1: reports like cinema doesn't operate there. Maybe yeah, I think 928 00:56:58,920 --> 00:57:03,080 Speaker 1: that's probably a cinema doesn't have any chains there. Oh 929 00:57:03,160 --> 00:57:08,719 Speaker 1: they operate New Hampshire, but not Vermont. Huh okay being 930 00:57:08,800 --> 00:57:12,840 Speaker 1: drawn but and like, yeah, twizzlers are also like I 931 00:57:12,880 --> 00:57:14,480 Speaker 1: know people who are like, you gotta get a fresh 932 00:57:14,520 --> 00:57:17,320 Speaker 1: batch of Twizzlers. You gotta get a fresh batch of Twizzlers. 933 00:57:17,800 --> 00:57:20,960 Speaker 1: I just got someone I know like got a like 934 00:57:21,080 --> 00:57:24,200 Speaker 1: a shipment of Twizzlers recently, and they're like, I got 935 00:57:24,240 --> 00:57:31,400 Speaker 1: fresh ones. Come triumph. They don't taste better bread or something. Yeah, 936 00:57:32,200 --> 00:57:34,640 Speaker 1: I don't know, it's just like I get that there 937 00:57:34,680 --> 00:57:37,640 Speaker 1: are freshies you want to have from Halloween candy, right, 938 00:57:37,720 --> 00:57:41,160 Speaker 1: like a fresh abbasaba that is good, like when they 939 00:57:41,320 --> 00:57:43,400 Speaker 1: when they go too long, they turn to cement or whatever. 940 00:57:43,480 --> 00:57:46,000 Speaker 1: But a Twizzler or like a red fine. I don't 941 00:57:46,000 --> 00:57:47,960 Speaker 1: know about like a stale one where I'm like, I 942 00:57:48,800 --> 00:57:51,760 Speaker 1: think I'm just not as handy. Candy freshness is real. 943 00:57:51,880 --> 00:57:54,280 Speaker 1: I have come to appreciate that the freshness of a 944 00:57:54,320 --> 00:57:58,440 Speaker 1: candy over definitely helps, is it. It's better like when 945 00:57:58,480 --> 00:58:02,520 Speaker 1: when it's kind of new, like when you're eating Halloween candy, 946 00:58:02,560 --> 00:58:05,160 Speaker 1: like in the New Year, that that ship is not 947 00:58:05,360 --> 00:58:08,080 Speaker 1: is no longer any good right for the most part. 948 00:58:08,120 --> 00:58:11,800 Speaker 1: I mean, the neighborhood kids took everything but left the 949 00:58:11,800 --> 00:58:15,200 Speaker 1: Tutsie rolls, which really surprised me. I loved its roles. 950 00:58:17,600 --> 00:58:25,160 Speaker 1: I'm not a fan of candy. I like it. It's good. 951 00:58:25,400 --> 00:58:30,480 Speaker 1: But they kept they kept like moving, literally moving them 952 00:58:30,520 --> 00:58:34,720 Speaker 1: aside and looking for the sour stuff like Jack, Yeah, 953 00:58:34,920 --> 00:58:38,000 Speaker 1: I like this sour stuff the kid kids these days. 954 00:58:38,280 --> 00:58:40,680 Speaker 1: That's that's how you know we're a young hip podcast. 955 00:58:40,720 --> 00:58:45,480 Speaker 1: We think, Yeah, they like the sour candy, that's for sure. 956 00:58:46,240 --> 00:58:48,600 Speaker 1: Nine Boys, the six nine Boys should have done a 957 00:58:48,640 --> 00:58:53,000 Speaker 1: collab with the makers of the Tutsi role. They never did. 958 00:58:53,200 --> 00:58:57,280 Speaker 1: There's probably some commercial somewhere. I mean, what happened to 959 00:58:57,360 --> 00:59:00,800 Speaker 1: Quad City? You know, how far to be falling in 960 00:59:00,840 --> 00:59:04,320 Speaker 1: this time? S music is still very popular in all 961 00:59:04,360 --> 00:59:07,040 Speaker 1: the parties. So I don't know, you know, even like 962 00:59:07,240 --> 00:59:10,680 Speaker 1: high school proms. Oh they still't know about Miami Bay're 963 00:59:10,720 --> 00:59:14,920 Speaker 1: still whooping there it is? Isn't that them? Is that them? Oh? No, 964 00:59:15,080 --> 00:59:22,840 Speaker 1: it's not them, DJA to DJs. Isn't that then? The 965 00:59:22,880 --> 00:59:27,240 Speaker 1: whoof there? It is? No? That was That was a 966 00:59:27,320 --> 00:59:39,480 Speaker 1: d C tag team Tag team a very yesterday where 967 00:59:39,480 --> 00:59:41,600 Speaker 1: I was playing that song in the car. It's been 968 00:59:41,640 --> 00:59:44,880 Speaker 1: on my kids playlists since they were, you know, two, 969 00:59:45,120 --> 00:59:47,480 Speaker 1: and my six year old was like, yeah, I don't 970 00:59:47,480 --> 00:59:52,840 Speaker 1: really like this song. It was like, real, it's a 971 00:59:52,840 --> 00:59:56,760 Speaker 1: hard moment. I think it's probably because we've worn it out, 972 00:59:56,880 --> 01:00:00,960 Speaker 1: but it's still. Wow. They really don't huh, So they 973 01:00:00,960 --> 01:00:05,439 Speaker 1: can't they so they cannot dig it? Yeah, I said, 974 01:00:09,520 --> 01:00:11,600 Speaker 1: we can't dig it? Do look at the road, Just 975 01:00:11,640 --> 01:00:14,600 Speaker 1: look at the road, dead looking around, asking me, can't 976 01:00:14,640 --> 01:00:16,640 Speaker 1: we dig it our own graves? Because you're about to 977 01:00:16,680 --> 01:00:23,840 Speaker 1: crash this car? No, Miles, what's your favorite candy? Did 978 01:00:23,840 --> 01:00:26,760 Speaker 1: you say? Oh? You said ropes? I said nine things. 979 01:00:26,800 --> 01:00:28,600 Speaker 1: Because I'm high. When I go into a movie theater 980 01:00:28,640 --> 01:00:30,880 Speaker 1: and I have to I have to indulge all my senses. 981 01:00:30,920 --> 01:00:33,440 Speaker 1: Sweeten none of ours, none of ours were really on 982 01:00:33,600 --> 01:00:36,600 Speaker 1: here like other than I guess red vines. I will 983 01:00:36,640 --> 01:00:40,439 Speaker 1: say Reese's Pieces I love, but that's all because of ET. 984 01:00:40,880 --> 01:00:44,160 Speaker 1: ET is the best product placement of all time. It 985 01:00:44,240 --> 01:00:47,560 Speaker 1: remains the best product placement of all time. I don't 986 01:00:47,720 --> 01:00:51,200 Speaker 1: think I like Reese's Pieces. I don't think I've ever 987 01:00:51,320 --> 01:00:54,320 Speaker 1: liked them, but I still funk with them when I'm 988 01:00:54,360 --> 01:00:57,520 Speaker 1: at a movie theater because of ET. And because of ET, 989 01:00:57,720 --> 01:00:59,520 Speaker 1: I started getting them when I was young at the 990 01:00:59,520 --> 01:01:01,920 Speaker 1: movie theater. It or and just to have like an 991 01:01:01,920 --> 01:01:04,240 Speaker 1: association where I'm like, man, if I eat a pound 992 01:01:04,280 --> 01:01:07,520 Speaker 1: of Reese's Pieces, I get a wild sugar high. So 993 01:01:08,480 --> 01:01:11,280 Speaker 1: I still remember getting those at Honey I shrunk the 994 01:01:11,320 --> 01:01:15,040 Speaker 1: kids when I was Those were the days. How do 995 01:01:15,080 --> 01:01:17,800 Speaker 1: you what's what are your thoughts on pieces? I'm neutral, 996 01:01:18,360 --> 01:01:22,800 Speaker 1: I'm very blah bland. May I don't have you know, 997 01:01:22,840 --> 01:01:26,120 Speaker 1: I don't hate them. I don't love them. They're kind 998 01:01:26,160 --> 01:01:29,440 Speaker 1: of just ma But I find it interesting that you 999 01:01:29,440 --> 01:01:34,800 Speaker 1: would like that You're palette would enjoy a food because 1000 01:01:34,840 --> 01:01:38,320 Speaker 1: of a movie. Yeah, Oh yeah, I think it's like 1001 01:01:38,360 --> 01:01:42,400 Speaker 1: the association. It's purely the association. There's like there's been 1002 01:01:42,400 --> 01:01:45,160 Speaker 1: a few movies where like or TV shows, I started 1003 01:01:45,200 --> 01:01:48,680 Speaker 1: eating stuff because of what I saw on TV. Like 1004 01:01:49,080 --> 01:01:52,760 Speaker 1: I remember Abba Zabba because of how high or no, 1005 01:01:52,880 --> 01:01:55,280 Speaker 1: I mean half baked. They're telling my Abbasaba and I 1006 01:01:55,280 --> 01:01:57,320 Speaker 1: was like, I'm gonna try that. And then I was like, Okay, 1007 01:01:57,360 --> 01:02:00,760 Speaker 1: this is interesting. Uh Reese's Pieces because of U E. T. 1008 01:02:01,600 --> 01:02:04,280 Speaker 1: There was one other one that, Oh, in Mall Rats, 1009 01:02:04,320 --> 01:02:06,840 Speaker 1: this dude is eating like chocolate covered pretzels in the scene, 1010 01:02:06,880 --> 01:02:09,080 Speaker 1: and then I became I just like went all in 1011 01:02:09,120 --> 01:02:12,160 Speaker 1: on chocolate cover pretzels. Yeah. So I don't know. I 1012 01:02:12,200 --> 01:02:15,480 Speaker 1: think what all that to say is I'm stupid and 1013 01:02:15,640 --> 01:02:23,960 Speaker 1: I want to be like TV screen worked, and I don't. 1014 01:02:24,120 --> 01:02:26,600 Speaker 1: I didn't knowingly say I'm eating this because of Et. 1015 01:02:26,960 --> 01:02:30,240 Speaker 1: It's just that Et eating those things. And it had 1016 01:02:30,320 --> 01:02:33,320 Speaker 1: like they they fully eat a nice little crunch whenever 1017 01:02:33,320 --> 01:02:36,480 Speaker 1: he ate it, and the colors of the bag. For 1018 01:02:36,520 --> 01:02:40,080 Speaker 1: whatever reason, it just it worked. They got my ass, 1019 01:02:40,160 --> 01:02:42,120 Speaker 1: and that was supposed to be m and M's and 1020 01:02:42,200 --> 01:02:45,840 Speaker 1: Mars fucked up and just we're like, we're not interested 1021 01:02:45,920 --> 01:02:49,360 Speaker 1: in putting our candy in your little movie. And so 1022 01:02:49,400 --> 01:02:52,640 Speaker 1: they went with Reese's Pieces and oh, that's right. Yeah, 1023 01:02:52,720 --> 01:02:55,080 Speaker 1: and they're like, you knew it for free and much 1024 01:02:55,080 --> 01:02:57,840 Speaker 1: about this. We did a whole thing on it because 1025 01:02:57,880 --> 01:03:01,120 Speaker 1: we were we were really thinking about how like seminole 1026 01:03:01,280 --> 01:03:03,960 Speaker 1: that is for Reese's pieces, that et thing. And I 1027 01:03:04,000 --> 01:03:06,480 Speaker 1: think it's also seen as wacky. Little Fingers just drop 1028 01:03:06,480 --> 01:03:10,680 Speaker 1: a couple of recent pieces like that's advertizing. I don't 1029 01:03:10,680 --> 01:03:13,880 Speaker 1: know why, but it felt magical. It does. It works 1030 01:03:14,200 --> 01:03:16,840 Speaker 1: for some reason. It shouldn't. None of it should work. 1031 01:03:17,000 --> 01:03:26,760 Speaker 1: I can't, we will not, Little Fingers. Uh well, Leila, 1032 01:03:27,160 --> 01:03:30,440 Speaker 1: such a pleasure having you both on the daily zeitgeist. 1033 01:03:30,880 --> 01:03:33,240 Speaker 1: Where can people find you? Follow you, hear you all 1034 01:03:33,280 --> 01:03:37,120 Speaker 1: that good stuff? You can listen to The Stoop wherever 1035 01:03:37,240 --> 01:03:40,120 Speaker 1: you find your podcasts. Don't you just love that? I 1036 01:03:40,160 --> 01:03:44,560 Speaker 1: hate that constant line. Yeah. Yeah, we're doing stories consistently 1037 01:03:44,560 --> 01:03:47,760 Speaker 1: throughout the year about the Black diaspora The Stoop or 1038 01:03:47,880 --> 01:03:50,000 Speaker 1: The Stoop Die or you can find us there or 1039 01:03:50,080 --> 01:03:54,120 Speaker 1: on social media. Is at the Stoop podcast amazing? And 1040 01:03:54,400 --> 01:03:57,360 Speaker 1: is there a tweet or some other work of social 1041 01:03:57,400 --> 01:04:04,280 Speaker 1: media you've been enjoying? Yeah? So, um, I found this 1042 01:04:04,360 --> 01:04:08,400 Speaker 1: lady that does these little it's it's Instagram. But I 1043 01:04:08,440 --> 01:04:11,040 Speaker 1: think she's on TikTok as well, and the handle is 1044 01:04:11,080 --> 01:04:14,200 Speaker 1: c S a Punch And she's just this lady. She's 1045 01:04:14,240 --> 01:04:17,680 Speaker 1: a mom of young kids, and she loves nineties R 1046 01:04:17,800 --> 01:04:23,200 Speaker 1: and B and she does these little skits uh with 1047 01:04:23,200 --> 01:04:25,880 Speaker 1: with like nineties R and B songs and it just 1048 01:04:26,080 --> 01:04:29,920 Speaker 1: it brings me joy. She's funny. She takes a song 1049 01:04:30,480 --> 01:04:33,360 Speaker 1: like that the kids are listening to now that has 1050 01:04:33,400 --> 01:04:36,160 Speaker 1: been sampled and then goes back and you hear the 1051 01:04:36,200 --> 01:04:38,920 Speaker 1: original song and then that song turns out was sampled 1052 01:04:38,920 --> 01:04:43,520 Speaker 1: by somebody else. So it's just fun and I you know, 1053 01:04:44,360 --> 01:04:48,680 Speaker 1: she she keeps me happy. And and that's her handle 1054 01:04:48,720 --> 01:04:53,240 Speaker 1: is C S a Punch. Nice. How about you? Well, 1055 01:04:53,360 --> 01:04:57,840 Speaker 1: I've been I've been really intrigued by just recently on Twitter, 1056 01:04:58,040 --> 01:05:01,440 Speaker 1: someone had tweeted, like where the girls from the perm boxes? 1057 01:05:01,880 --> 01:05:03,760 Speaker 1: I don't know if you guys saw this, but it 1058 01:05:03,840 --> 01:05:06,080 Speaker 1: was like where are they now? The girls with their 1059 01:05:06,120 --> 01:05:08,280 Speaker 1: straight hair on the front of the perm boxes? Like 1060 01:05:08,360 --> 01:05:10,560 Speaker 1: little girls eight years a little looking cute and the 1061 01:05:10,560 --> 01:05:13,880 Speaker 1: little ponytails and the beads. And they came forward and 1062 01:05:13,920 --> 01:05:16,680 Speaker 1: they showed pictures of like where they're at now? And 1063 01:05:16,720 --> 01:05:18,920 Speaker 1: these girls, first of all, they like all of them 1064 01:05:18,920 --> 01:05:22,080 Speaker 1: had natural hair, they have perms um, they have their 1065 01:05:22,120 --> 01:05:24,760 Speaker 1: hair straightens, and they were just gorgeous. They were beautiful, 1066 01:05:24,840 --> 01:05:27,680 Speaker 1: and they were just these stunning women that were kind 1067 01:05:27,680 --> 01:05:29,440 Speaker 1: of talking about like what it was like to be 1068 01:05:29,480 --> 01:05:31,360 Speaker 1: on that perm box at such a young age, and like, 1069 01:05:31,800 --> 01:05:35,680 Speaker 1: I just loved that whole interviewing them. There's a site 1070 01:05:35,680 --> 01:05:37,800 Speaker 1: called Because of Them, and they did a whole series 1071 01:05:37,800 --> 01:05:39,520 Speaker 1: like on where that where they are now? And I 1072 01:05:39,600 --> 01:05:42,280 Speaker 1: just I love that kind of flashback kind of thing. So, yeah, 1073 01:05:43,240 --> 01:05:46,080 Speaker 1: nice Miles, Where can people find you? And what is 1074 01:05:46,120 --> 01:05:48,720 Speaker 1: the tweet you've been enjoying? Jack? I mean, when was 1075 01:05:48,720 --> 01:05:50,360 Speaker 1: the last time you bought a box of just for 1076 01:05:50,480 --> 01:05:54,000 Speaker 1: me texture softener? Just for me? Oh yeah, you know 1077 01:05:54,280 --> 01:05:57,720 Speaker 1: remember that girl's in a while. I'm almost out, remember 1078 01:05:58,320 --> 01:06:01,480 Speaker 1: per boxes? Come on, Jack, Let's see some tweets that 1079 01:06:01,600 --> 01:06:05,080 Speaker 1: I like. One is just from Jamie Loftus at Jamie 1080 01:06:05,120 --> 01:06:08,360 Speaker 1: Loftus Helped tweeted how many poorly written comic book villains 1081 01:06:08,360 --> 01:06:12,040 Speaker 1: will we elect today? Folks? Uh? It feels kind of 1082 01:06:12,120 --> 01:06:14,880 Speaker 1: what's going on there? And then at Jay Frankensenter tweeted, 1083 01:06:14,880 --> 01:06:17,320 Speaker 1: every Elon post is like watching Joe Pesci Enter the 1084 01:06:17,320 --> 01:06:23,520 Speaker 1: home alone house. Really that summed it up. Thank you 1085 01:06:23,560 --> 01:06:26,240 Speaker 1: for refusing those two things together. Uh. You can find 1086 01:06:26,240 --> 01:06:28,320 Speaker 1: me at Miles of Gray on Twitter and Instagram. You 1087 01:06:28,320 --> 01:06:31,000 Speaker 1: can check Jack and I out on our basketball podcast, 1088 01:06:31,040 --> 01:06:33,160 Speaker 1: Miles and Jack Got Mad boost These. We got a 1089 01:06:33,160 --> 01:06:35,880 Speaker 1: new episode coming out tomorrow Thursday. You know you don't 1090 01:06:35,880 --> 01:06:38,880 Speaker 1: want to miss that. Also my other podcast talking about 1091 01:06:39,680 --> 01:06:44,080 Speaker 1: four twenty Day Fiance. Wherever you get your podcast, I 1092 01:06:44,120 --> 01:06:52,560 Speaker 1: saw your eyes light up. We're busy a jail. It's okay, alright, well, 1093 01:06:52,600 --> 01:06:57,120 Speaker 1: Lena Leela, we might sometimes you know. It's also a 1094 01:06:57,200 --> 01:07:00,479 Speaker 1: very I just love what the what like the ven 1095 01:07:00,520 --> 01:07:04,680 Speaker 1: diagram is of like really intellectual people who also funk 1096 01:07:04,720 --> 01:07:07,840 Speaker 1: with ninety day. It's unbelievable in my mind, Like the 1097 01:07:07,920 --> 01:07:10,040 Speaker 1: kind of people who are like I love ninety damn, 1098 01:07:10,080 --> 01:07:14,280 Speaker 1: Like you just want to want a peabody? Yeah, I mean, 1099 01:07:14,400 --> 01:07:18,320 Speaker 1: don't hold that against people. A social experiment. I love it. 1100 01:07:18,600 --> 01:07:21,280 Speaker 1: There it is, um, let's see and that's it. Yeah, 1101 01:07:21,360 --> 01:07:24,760 Speaker 1: find me there. There you go. Some tweets I've been enjoying. 1102 01:07:24,880 --> 01:07:29,000 Speaker 1: Christi Aamagucci main tweeted something yesterday that I thought it 1103 01:07:29,080 --> 01:07:32,400 Speaker 1: was just a fun ship post. He tweeted been giving 1104 01:07:32,520 --> 01:07:36,480 Speaker 1: rides to senior citizens to go vote in making small 1105 01:07:36,480 --> 01:07:38,720 Speaker 1: talk on the way, and if I find out they're 1106 01:07:38,760 --> 01:07:41,400 Speaker 1: voting Republican, I just pushed them out of the car, 1107 01:07:41,760 --> 01:07:44,960 Speaker 1: not even slowing down. Got to maximize my time and 1108 01:07:45,000 --> 01:07:47,720 Speaker 1: I could just sail out of Republicans finding that and 1109 01:07:47,720 --> 01:07:51,840 Speaker 1: be like, do you see what's happening? Yeah? And so 1110 01:07:51,880 --> 01:07:54,160 Speaker 1: many people on Twitter doing that stuff to see if 1111 01:07:54,200 --> 01:07:57,960 Speaker 1: they get picked up by conservative outlets. Yeah. Uh. And 1112 01:07:58,000 --> 01:08:00,440 Speaker 1: then Emma Burke with wrote instead of a stayer, you 1113 01:08:00,440 --> 01:08:02,320 Speaker 1: should get a hot dog when you vote, this is 1114 01:08:02,360 --> 01:08:08,200 Speaker 1: supposed to be America. You should have options. Yeah, well yeah, 1115 01:08:08,640 --> 01:08:10,440 Speaker 1: I would have options of what you put on your 1116 01:08:10,480 --> 01:08:13,680 Speaker 1: hot dog. I would take like a I don't know, 1117 01:08:13,760 --> 01:08:19,120 Speaker 1: I'm just let me let me think about this. Hey, 1118 01:08:19,120 --> 01:08:23,320 Speaker 1: we got peanut, Eminem's, Reese's pieces or hot dogs? What 1119 01:08:23,360 --> 01:08:26,800 Speaker 1: do you want? You can find me on Twitter at 1120 01:08:26,880 --> 01:08:29,840 Speaker 1: Jack Underscore O'Brien. You can find us on Twitter at 1121 01:08:29,880 --> 01:08:32,880 Speaker 1: Daily Zeitgeist. We're at the Daily Zeitgeist on Instagram. We 1122 01:08:32,920 --> 01:08:35,879 Speaker 1: have a Facebook fan page and a website, Daily zeitgeist 1123 01:08:35,920 --> 01:08:38,719 Speaker 1: dot com, where we post our episodes and our foot notes, 1124 01:08:39,240 --> 01:08:40,960 Speaker 1: where we link off to the information that we talked 1125 01:08:41,000 --> 01:08:43,439 Speaker 1: about in today's episode. Well, it's a song that we 1126 01:08:43,479 --> 01:08:45,280 Speaker 1: think you might enjoy. Hey, Miles, what song do we 1127 01:08:45,280 --> 01:08:49,160 Speaker 1: think people might enjoy? Uh? This is a group maybe 1128 01:08:49,240 --> 01:08:51,200 Speaker 1: have called out one or two of their songs in 1129 01:08:51,240 --> 01:08:53,639 Speaker 1: the past. They're called Elkin and Nelson and then they're 1130 01:08:53,680 --> 01:08:56,719 Speaker 1: they're these two brothers from Columbia that moved to Spain 1131 01:08:56,880 --> 01:08:59,720 Speaker 1: like in the seventies and like they got into like 1132 01:09:00,080 --> 01:09:03,240 Speaker 1: Skull in Spain in the seventies. But they're from Columbia, 1133 01:09:03,320 --> 01:09:05,599 Speaker 1: so like their sense of rhythm is completely different than 1134 01:09:05,640 --> 01:09:08,720 Speaker 1: my continental Europe. So the albums they made are like 1135 01:09:09,360 --> 01:09:12,879 Speaker 1: really funky and they sound like it's such a unique 1136 01:09:12,880 --> 01:09:15,559 Speaker 1: sound for that era. And I always loved their work 1137 01:09:15,600 --> 01:09:17,120 Speaker 1: and I was just listening to one of their other albums. 1138 01:09:17,120 --> 01:09:19,599 Speaker 1: This track is called a Bombo Nos and it's by 1139 01:09:19,640 --> 01:09:22,360 Speaker 1: Elkin and Nelson. And if you like a little just 1140 01:09:22,600 --> 01:09:25,439 Speaker 1: if you like solid rhythm and like funky, I don't 1141 01:09:25,439 --> 01:09:28,120 Speaker 1: know what I'll call it, like funky Latin disco kind 1142 01:09:28,160 --> 01:09:31,719 Speaker 1: of thing. Check this track outs called Bombo nos. Al Right, well, 1143 01:09:31,760 --> 01:09:33,320 Speaker 1: we will link up to that in the foot notes. 1144 01:09:33,360 --> 01:09:35,400 Speaker 1: The Daily that you guys A production by Heart Radio 1145 01:09:35,400 --> 01:09:37,400 Speaker 1: from More podcast from My Heart Radio, visit the I 1146 01:09:37,479 --> 01:09:40,000 Speaker 1: Heart Radio app, Apple podcast, wherever you listen to your 1147 01:09:40,040 --> 01:09:42,719 Speaker 1: favorite shows. That's gonna do it for us this morning, 1148 01:09:42,760 --> 01:09:46,439 Speaker 1: back this afternoon to tell you what is trending for 1149 01:09:46,479 --> 01:09:51,040 Speaker 1: a first episode post election results, we will talk to that. 1150 01:09:51,439 --> 01:09:52,200 Speaker 1: Bye bye,