1 00:00:00,120 --> 00:00:03,360 Speaker 1: Hello the Internet, and welcome to season two oh five, 2 00:00:03,400 --> 00:00:07,440 Speaker 1: Episode five of Days Like Guys to production of I 3 00:00:07,840 --> 00:00:10,520 Speaker 1: Heart Radio. This is a podcast where we take a 4 00:00:10,560 --> 00:00:15,560 Speaker 1: deep dive into America's shared consciousness. It's Friday, October eight, 5 00:00:17,239 --> 00:00:19,599 Speaker 1: so you know what that means. It is, of course 6 00:00:19,880 --> 00:00:23,360 Speaker 1: National Fluffer Nutter Day to the day we've all been 7 00:00:23,400 --> 00:00:26,360 Speaker 1: looking forward to. We will be off by the way 8 00:00:26,520 --> 00:00:31,840 Speaker 1: on Monday for International Indigenous People's Day. So don't don't 9 00:00:31,880 --> 00:00:35,360 Speaker 1: blow us up. Say where's the episode? What happened? We'll 10 00:00:35,400 --> 00:00:37,520 Speaker 1: be back, We'll be back, don't be back. Don't worry, 11 00:00:37,720 --> 00:00:42,040 Speaker 1: don't worry. My name is Jack O'Brien a k so 12 00:00:42,360 --> 00:00:47,280 Speaker 1: king time. One last call for bed Jumper so we 13 00:00:47,560 --> 00:00:54,480 Speaker 1: can stop Jesus his tears, so king time. God don't 14 00:00:54,520 --> 00:00:58,720 Speaker 1: want us to bone. And hey bro, my eyes are 15 00:00:58,960 --> 00:01:05,080 Speaker 1: up here. I know who I want to help me bone. 16 00:01:05,240 --> 00:01:09,680 Speaker 1: That is courtesy of Chris Harvey at Real Chris Harvey, 17 00:01:09,760 --> 00:01:12,040 Speaker 1: not the fake one, and I'm thrilled to be joined 18 00:01:12,080 --> 00:01:17,319 Speaker 1: as always by my co host, Mr Miles Crag. I 19 00:01:17,360 --> 00:01:19,840 Speaker 1: saw a Lanis morrisset last night, so in honor of 20 00:01:19,959 --> 00:01:23,920 Speaker 1: that is Miles Gray a k A. You're getting slammed 21 00:01:24,600 --> 00:01:29,920 Speaker 1: in a Twitter debate because you listen to Facebook and 22 00:01:30,280 --> 00:01:34,760 Speaker 1: ate some horse paste. You hate ten thousand books because 23 00:01:34,800 --> 00:01:39,319 Speaker 1: it points out that you're white. It's like meeting Ben Shapiro. 24 00:01:39,560 --> 00:01:42,600 Speaker 1: It's been realizing he doesn't even have a wife. The 25 00:01:42,720 --> 00:01:47,880 Speaker 1: cell phony seems ironic, don't you think? But I'm smoking 26 00:01:47,960 --> 00:01:54,360 Speaker 1: too much chronic to really let that sink a Miles Gray. Okay, 27 00:01:54,880 --> 00:01:57,680 Speaker 1: let me just tell you. Alanis Morrissett twenty five year 28 00:01:58,120 --> 00:02:01,760 Speaker 1: anniversary tour, Jackie Little Pill, She's still I could not 29 00:02:01,880 --> 00:02:04,200 Speaker 1: believe how good her voice it was. It gave me 30 00:02:04,680 --> 00:02:07,520 Speaker 1: my spine almost shot out my body. It was I 31 00:02:07,520 --> 00:02:09,240 Speaker 1: don't even I don't know I was to describe it. 32 00:02:09,280 --> 00:02:13,360 Speaker 1: And also Shirley Manson from Garbage also killed Garbage and 33 00:02:13,480 --> 00:02:17,160 Speaker 1: a whole lot more. Yeah, the year was last night, 34 00:02:17,400 --> 00:02:21,560 Speaker 1: you know. And was was it like the Kanye eight 35 00:02:21,600 --> 00:02:24,080 Speaker 1: to eight show where he she just did the album 36 00:02:24,160 --> 00:02:26,440 Speaker 1: straight through or no she no, she kind of she 37 00:02:26,680 --> 00:02:28,920 Speaker 1: needed it. Yeah, a little bit, a little bit from 38 00:02:29,000 --> 00:02:31,800 Speaker 1: here and there, you know, But it was I, I 39 00:02:32,040 --> 00:02:36,000 Speaker 1: honestly I couldn't believe, like how how her She's maintained 40 00:02:36,040 --> 00:02:38,560 Speaker 1: her voice for this long and it's it was really like, 41 00:02:38,600 --> 00:02:42,720 Speaker 1: I felt like there's it's it was still so I've 42 00:02:42,760 --> 00:02:46,919 Speaker 1: rediscovered my fandom. Wow, well, Miles, we are thrilled to 43 00:02:46,960 --> 00:02:50,600 Speaker 1: be joined in our third seat by a suspiciously first 44 00:02:50,680 --> 00:02:54,000 Speaker 1: rate guest to be on our second rate podcast that 45 00:02:54,080 --> 00:02:56,840 Speaker 1: opens with us singing about floating. She is the New 46 00:02:56,880 --> 00:02:59,880 Speaker 1: York Times best selling author of the book Rich Bitch, 47 00:03:00,360 --> 00:03:05,679 Speaker 1: TV news anchor, businesswoman, philanthropist, and most impressively of all, 48 00:03:05,760 --> 00:03:09,600 Speaker 1: of course, a podcaster. She's been an anchor on CNN, CNBC, 49 00:03:09,840 --> 00:03:13,640 Speaker 1: and Bloomberg, was the money saving correspondent for The Wendy 50 00:03:13,680 --> 00:03:17,040 Speaker 1: Williams Show, and it hosts the very informative podcast Money 51 00:03:17,040 --> 00:03:19,839 Speaker 1: Where we had with Nicole Lappen on the I Heart 52 00:03:19,919 --> 00:03:24,600 Speaker 1: Radio podcast network. Please welcome the brilliant, the talented Nicole 53 00:03:24,720 --> 00:03:30,120 Speaker 1: lapping How are you doing good? How are you You know? 54 00:03:30,520 --> 00:03:33,720 Speaker 1: I am better now that I'm hanging with you guys 55 00:03:34,880 --> 00:03:38,400 Speaker 1: in my pod closet, which I spend many many hours 56 00:03:38,440 --> 00:03:41,520 Speaker 1: in during the day. How many hours ran talking in 57 00:03:41,520 --> 00:03:45,360 Speaker 1: that pod closet. Well, I'm doing my audio book now 58 00:03:45,400 --> 00:03:48,240 Speaker 1: by myself, so I'm talking to myself basically all day 59 00:03:48,240 --> 00:03:50,040 Speaker 1: and all night long. And I never want to hear 60 00:03:50,080 --> 00:03:53,640 Speaker 1: the sound of my own voice. So during Indigenous People's Day, 61 00:03:53,640 --> 00:03:56,600 Speaker 1: I'm just not talking to any people. Just yeah, going 62 00:03:56,600 --> 00:04:00,200 Speaker 1: on a valve silence for that, talking to yourself, your 63 00:04:00,240 --> 00:04:05,160 Speaker 1: own words that you wrote a while ago. Yeah, very meta, 64 00:04:05,320 --> 00:04:08,840 Speaker 1: and that would that would make me a little bit crazy. 65 00:04:10,000 --> 00:04:12,680 Speaker 1: Do you think you would start second guessing? Like does 66 00:04:12,720 --> 00:04:14,800 Speaker 1: that process ever be? Like? Oh man, I think I 67 00:04:14,840 --> 00:04:16,680 Speaker 1: can reward that. But then you're like, but this is 68 00:04:16,720 --> 00:04:20,240 Speaker 1: already locked. So do I deviate or you find it 69 00:04:20,360 --> 00:04:23,480 Speaker 1: very easy? Just trust what you've written. It's a good question. 70 00:04:23,680 --> 00:04:26,400 Speaker 1: I for the first book I wrote, I'm on my 71 00:04:26,520 --> 00:04:29,080 Speaker 1: fourth book, which is Bananas. I need to take book 72 00:04:29,080 --> 00:04:31,840 Speaker 1: birth control immediately. If you know where to find that, 73 00:04:32,839 --> 00:04:36,120 Speaker 1: let me know. For rich Bitch, I thought nobody was 74 00:04:36,160 --> 00:04:38,719 Speaker 1: going to listen to it ever, so I just basically 75 00:04:38,760 --> 00:04:41,440 Speaker 1: had a little party with myself and made jokes that 76 00:04:41,480 --> 00:04:44,000 Speaker 1: were not funny. Maybe they were just funny to myself, 77 00:04:44,040 --> 00:04:47,560 Speaker 1: which most of my jokes are. Um And then audio 78 00:04:47,600 --> 00:04:51,600 Speaker 1: books became a thing and they became more and more popular, 79 00:04:51,720 --> 00:04:54,680 Speaker 1: so I kind of have to take it seriously. But no, 80 00:04:54,800 --> 00:04:57,120 Speaker 1: I can't second guess anything, because, as you guys know, 81 00:04:57,160 --> 00:05:01,960 Speaker 1: there's this crazy supply chain issue with all products, furniture 82 00:05:02,000 --> 00:05:05,120 Speaker 1: and chips and everything and books included. So I got 83 00:05:05,120 --> 00:05:09,400 Speaker 1: a spot in the printer and I cannot get out 84 00:05:09,400 --> 00:05:11,640 Speaker 1: of the spot, or my book is not gonna come out, 85 00:05:13,000 --> 00:05:15,560 Speaker 1: Oh my god. But if I want it out in January, 86 00:05:15,839 --> 00:05:19,400 Speaker 1: MoMA's got to read with On the page, he wrote, 87 00:05:21,000 --> 00:05:26,000 Speaker 1: I've never done right. Amazing book birth Control, by the way, 88 00:05:26,040 --> 00:05:30,440 Speaker 1: I think is just listening to podcasts, just clearing your 89 00:05:30,480 --> 00:05:35,240 Speaker 1: brain of any good ideas. But what was the podcast 90 00:05:35,920 --> 00:05:42,520 Speaker 1: festival or something? Yeah, which sounds like a whole other thing. Yeah, 91 00:05:42,520 --> 00:05:46,320 Speaker 1: a podcast movement, Yeah, exactly. Alright, Nicole, We're gonna get 92 00:05:46,360 --> 00:05:48,599 Speaker 1: to know you a little bit better in a moment. First, 93 00:05:48,640 --> 00:05:50,440 Speaker 1: we're gonna tell our listeners a couple of things we're 94 00:05:50,480 --> 00:05:53,279 Speaker 1: talking about. We're gonna talk about a Texas federal judge 95 00:05:53,680 --> 00:05:56,840 Speaker 1: has ended the abortion band for now. We're gonna talk 96 00:05:56,880 --> 00:06:01,719 Speaker 1: about the underrated, underreported, under account, a deadliness of heat waves. 97 00:06:02,320 --> 00:06:05,440 Speaker 1: We might even get to Andrew Cuomo's book. We will 98 00:06:05,720 --> 00:06:09,479 Speaker 1: definitely get to Tall Zoom energy. That's a thing, all 99 00:06:09,520 --> 00:06:11,880 Speaker 1: of that plenty more. But first, Nicole, we do like 100 00:06:12,000 --> 00:06:16,440 Speaker 1: to ask our guests, what is something from your search history. 101 00:06:17,000 --> 00:06:21,480 Speaker 1: So the most recent thing on my phone search history 102 00:06:21,880 --> 00:06:30,839 Speaker 1: is Birds of Paradise dog. So my puppy Penny, and 103 00:06:30,880 --> 00:06:33,400 Speaker 1: her name is very un brand for a money person. 104 00:06:33,880 --> 00:06:36,919 Speaker 1: Of course, she is the mascot of money Rehab. You 105 00:06:36,960 --> 00:06:39,160 Speaker 1: can follow her at docky coin. I know you guys 106 00:06:39,200 --> 00:06:41,960 Speaker 1: are already doing that. Who else would you be following? 107 00:06:42,960 --> 00:06:47,400 Speaker 1: But she eats all the things and she ate Birds 108 00:06:47,400 --> 00:06:52,200 Speaker 1: of Paradise and as a protective dog mommy, I wanted 109 00:06:52,240 --> 00:06:55,760 Speaker 1: to see if she was allowed to eat those, and 110 00:06:55,880 --> 00:06:59,359 Speaker 1: apparently she's not. So that's when I took Penny to 111 00:06:59,640 --> 00:07:05,599 Speaker 1: the dog. It's like, actually is poisonous or just starting 112 00:07:05,640 --> 00:07:08,360 Speaker 1: like dad, they're better not off eating that or the articles. 113 00:07:08,400 --> 00:07:11,480 Speaker 1: I get to a vet now it was like somewhere 114 00:07:11,480 --> 00:07:16,000 Speaker 1: in between. But Penny like noth on all the birds 115 00:07:16,000 --> 00:07:20,680 Speaker 1: of Paradise, so she really like inhaled them and yeah, 116 00:07:20,920 --> 00:07:25,920 Speaker 1: they induced vomiting and five dollars later and that's what's left. Yeah, 117 00:07:26,600 --> 00:07:31,520 Speaker 1: sarch history. Yeah, I regularly have to search things about 118 00:07:31,600 --> 00:07:33,640 Speaker 1: what I can give my dog. The last thing I 119 00:07:33,680 --> 00:07:40,640 Speaker 1: searched was cash shows because wow, man, it is adorable 120 00:07:40,880 --> 00:07:47,880 Speaker 1: and looking about you as actually looks like you're waking 121 00:07:47,960 --> 00:07:51,120 Speaker 1: up a dog like you wake up a dog like what, 122 00:07:51,200 --> 00:07:56,720 Speaker 1: but Penny looks like, h yeah. Recently I searched cash 123 00:07:56,720 --> 00:07:58,640 Speaker 1: shows because I was eating them. And then do you know, 124 00:07:58,720 --> 00:08:00,840 Speaker 1: like the other like earlier this week, there's just that 125 00:08:00,960 --> 00:08:04,240 Speaker 1: wild thunderstorm that hit the City's like lightning every so 126 00:08:04,320 --> 00:08:07,600 Speaker 1: my dog was losing it. But my dog will not 127 00:08:07,760 --> 00:08:10,480 Speaker 1: bark or get startled by fireworks or lightning, like if 128 00:08:10,520 --> 00:08:12,520 Speaker 1: I have treats, It's very interesting, like he will just 129 00:08:12,640 --> 00:08:15,000 Speaker 1: focus immediately be like yes, I will sit down and 130 00:08:15,040 --> 00:08:17,120 Speaker 1: have my ears up at attention. Please give me this treat. 131 00:08:17,240 --> 00:08:19,200 Speaker 1: And I only had cash shows at the time, and 132 00:08:19,240 --> 00:08:22,520 Speaker 1: I was like, is this okay? Turns out it's okay, 133 00:08:22,560 --> 00:08:24,920 Speaker 1: But don't put your dog in a cash you diet either. 134 00:08:25,440 --> 00:08:28,920 Speaker 1: It's okay. We'll say yeah exactly, just like you know, fine, 135 00:08:28,960 --> 00:08:31,240 Speaker 1: but just don't think that's you can just start giving 136 00:08:31,240 --> 00:08:34,840 Speaker 1: your dog cashus all the time. Guys. I have a question, 137 00:08:34,920 --> 00:08:38,400 Speaker 1: we're all in l a and with dogs, why did 138 00:08:38,400 --> 00:08:43,480 Speaker 1: we not do a podcast doggie date. I know, damn 139 00:08:43,559 --> 00:08:47,439 Speaker 1: pandemic um, but yeah, I definitely want to meet Penny 140 00:08:47,440 --> 00:08:53,319 Speaker 1: in person. She's looking straight in like camera, just amazing 141 00:08:53,360 --> 00:08:57,760 Speaker 1: eye contact. She just made like very intense eye contacts 142 00:08:57,800 --> 00:09:02,200 Speaker 1: with me and then did a stage yawn at me. 143 00:09:02,920 --> 00:09:05,040 Speaker 1: So do you do you have birds of paradise that 144 00:09:05,360 --> 00:09:08,200 Speaker 1: or do you no longer have birds of paradise like 145 00:09:09,840 --> 00:09:13,200 Speaker 1: at your abode? So it wasn't at my abode. It 146 00:09:13,360 --> 00:09:17,280 Speaker 1: was at a hotel in San Diego that was really 147 00:09:17,360 --> 00:09:22,920 Speaker 1: build as a dog friendly hotel, I know, And so 148 00:09:23,160 --> 00:09:27,240 Speaker 1: then I was really pissed because Penny was just out 149 00:09:27,280 --> 00:09:30,800 Speaker 1: in the terrorists doing her thing like at her dog 150 00:09:30,840 --> 00:09:36,280 Speaker 1: friendly hotel, and they can't have things that dogs can't 151 00:09:36,320 --> 00:09:38,520 Speaker 1: eat at a dog friendly hotel. So I got really 152 00:09:38,559 --> 00:09:42,360 Speaker 1: pissed at them. Dog friendly except for these delicious looking 153 00:09:42,440 --> 00:09:48,319 Speaker 1: flowers that are chocolate bars like a baker and chocolate 154 00:09:48,559 --> 00:09:53,800 Speaker 1: fondue fountain that is at knee level, not for the dogs. 155 00:09:53,800 --> 00:09:58,640 Speaker 1: So very leethful Baker's chocolate. It's lethal, but I guess 156 00:09:58,640 --> 00:10:03,160 Speaker 1: love it. Birds of Paradise though one of the best flower, 157 00:10:03,320 --> 00:10:06,080 Speaker 1: best named flowers in my opinion, I think I really 158 00:10:06,160 --> 00:10:10,520 Speaker 1: nailed that name. It does look like a bird. Kenny 159 00:10:10,559 --> 00:10:14,199 Speaker 1: doesn't think it's paradise though to that botanist, shout out 160 00:10:14,240 --> 00:10:17,760 Speaker 1: to whoever named that flower. What is something you think 161 00:10:17,880 --> 00:10:22,520 Speaker 1: is overrated. I think leasing a car is overrated. I know, 162 00:10:22,559 --> 00:10:24,200 Speaker 1: we live in l A and everybody does that. I 163 00:10:24,200 --> 00:10:27,920 Speaker 1: think what's underrated is buying a used car four years 164 00:10:28,000 --> 00:10:31,480 Speaker 1: old or older because that's the greatest appreciation period and 165 00:10:31,480 --> 00:10:34,320 Speaker 1: then running that gelope into the ground. You don't have 166 00:10:34,320 --> 00:10:37,280 Speaker 1: to flex with your ride if it takes you into 167 00:10:37,520 --> 00:10:42,520 Speaker 1: financial prison. Right now, we're getting that money rehab, notledge. 168 00:10:43,520 --> 00:10:46,319 Speaker 1: I'm like that, I just paid off my car good 169 00:10:46,880 --> 00:10:48,720 Speaker 1: and I'm you know and now and but my plan 170 00:10:48,840 --> 00:10:52,679 Speaker 1: is run that ship into the ground, which I've done 171 00:10:52,720 --> 00:10:55,360 Speaker 1: with every other car prior to that. But yeah, I 172 00:10:55,400 --> 00:10:58,440 Speaker 1: know many people who get caught in like the vanity 173 00:10:58,559 --> 00:11:02,839 Speaker 1: of leasing, like having a new car constantly, and there 174 00:11:02,880 --> 00:11:06,120 Speaker 1: are also just like constantly complaining about how expensive their car. 175 00:11:06,200 --> 00:11:08,679 Speaker 1: Least isn't like this just so you can have a 176 00:11:08,760 --> 00:11:11,120 Speaker 1: Mercedes that shoots a light on the ground, that has 177 00:11:11,120 --> 00:11:14,800 Speaker 1: a logo on it. Okay, now this is your area 178 00:11:14,800 --> 00:11:18,520 Speaker 1: of expertise. But something you haven't addressed is I just 179 00:11:18,760 --> 00:11:21,959 Speaker 1: have been renting a Dodge charger for the last three 180 00:11:22,080 --> 00:11:31,080 Speaker 1: years from Avis. Do you recommend that? Is that smart financially? 181 00:11:30,120 --> 00:11:33,920 Speaker 1: I mean one expense one the household expense. It does 182 00:11:33,960 --> 00:11:37,800 Speaker 1: not have the light on the bottomen not approved. If 183 00:11:37,800 --> 00:11:39,800 Speaker 1: it had to light be a different story, right is 184 00:11:39,840 --> 00:11:43,840 Speaker 1: it projecting a Dodge logo from the onto the ground 185 00:11:43,880 --> 00:11:46,680 Speaker 1: so people know even more what kind of car you drive? 186 00:11:47,400 --> 00:11:52,160 Speaker 1: But okay, so leasing overrated? I like that scam. It 187 00:11:52,240 --> 00:11:54,280 Speaker 1: truly is a scam. I'm not even in midst worse 188 00:11:54,320 --> 00:11:56,920 Speaker 1: about it. Why do you think the car companies came 189 00:11:57,000 --> 00:12:01,000 Speaker 1: up with it to make money, to make more money? 190 00:12:01,240 --> 00:12:03,920 Speaker 1: Right to be like that here's a car because I 191 00:12:03,920 --> 00:12:06,600 Speaker 1: remember when I was about to pay my car off. 192 00:12:06,760 --> 00:12:10,800 Speaker 1: I've never been contacted more from the dealership like, hey man, 193 00:12:10,880 --> 00:12:13,520 Speaker 1: we got the two is about to roll in. You 194 00:12:13,559 --> 00:12:16,760 Speaker 1: want to we can. I know you're one payment away 195 00:12:16,800 --> 00:12:20,400 Speaker 1: from straight up owning this vehicle, but what if we 196 00:12:20,520 --> 00:12:22,520 Speaker 1: got you to come in and test drive this other 197 00:12:22,559 --> 00:12:25,120 Speaker 1: car that's slightly better than the one you have and 198 00:12:25,160 --> 00:12:27,400 Speaker 1: get you in another lease or into it just to 199 00:12:27,480 --> 00:12:30,840 Speaker 1: lease itself. But yeah, right, what you're paying new car 200 00:12:31,160 --> 00:12:34,320 Speaker 1: price for a used car by the time you turn 201 00:12:34,400 --> 00:12:36,440 Speaker 1: it in, and then you turn it in, you don't 202 00:12:36,440 --> 00:12:41,240 Speaker 1: even own the car, right right, right? And four years 203 00:12:41,320 --> 00:12:45,160 Speaker 1: or older is when it depreciates. But it's not that's 204 00:12:45,200 --> 00:12:48,319 Speaker 1: not reflective of the value, especially like new cars are. 205 00:12:48,320 --> 00:12:50,920 Speaker 1: Really they do a good job with these cars these days, 206 00:12:51,080 --> 00:12:54,120 Speaker 1: as I understand it, right, like the last Yeah, they 207 00:12:54,160 --> 00:12:57,599 Speaker 1: lasted pretty long time, don't they. Yeah, I think a 208 00:12:57,720 --> 00:13:02,080 Speaker 1: source to say they do last. They are very very expensive, 209 00:13:02,360 --> 00:13:05,280 Speaker 1: and they lose value the second you drive them off 210 00:13:05,280 --> 00:13:09,040 Speaker 1: the lot. And so before your old car doesn't look 211 00:13:09,160 --> 00:13:11,960 Speaker 1: that different, like the interface probably the same, and the 212 00:13:12,040 --> 00:13:14,880 Speaker 1: light is still probably there. I'm not talking about like 213 00:13:14,920 --> 00:13:19,480 Speaker 1: getting a Pinto or something, you know, get something that 214 00:13:19,559 --> 00:13:24,560 Speaker 1: was gently used. Yeah, I'm all about that. You know, 215 00:13:24,679 --> 00:13:27,280 Speaker 1: you do always want to trust a used car salesperson, 216 00:13:27,400 --> 00:13:29,839 Speaker 1: so that that's the reason they have that reputation of 217 00:13:29,920 --> 00:13:33,880 Speaker 1: being trustworthy, right, unless it was me when I used 218 00:13:33,880 --> 00:13:35,760 Speaker 1: to sell used cars or on the lot when I 219 00:13:35,800 --> 00:13:37,800 Speaker 1: worked on a Dodge a lot. Everyone's like, you gotta 220 00:13:37,800 --> 00:13:39,880 Speaker 1: sell the use man, that they're gonna kill They're gonna 221 00:13:39,880 --> 00:13:42,280 Speaker 1: make money, man. So I'm used, and I'm just like 222 00:13:42,320 --> 00:13:45,560 Speaker 1: so bad at I'm bad at like aggressive sales, Like 223 00:13:45,600 --> 00:13:48,520 Speaker 1: I'm good at like you know, finessing my words and 224 00:13:48,640 --> 00:13:51,280 Speaker 1: you know, the rhetorical mastery of it all. But the 225 00:13:51,360 --> 00:13:53,520 Speaker 1: part where it's time to get somebody to be like 226 00:13:53,800 --> 00:13:56,600 Speaker 1: throw your money away on this. Now that with all 227 00:13:56,679 --> 00:13:59,920 Speaker 1: apart right, you can't lie. You're a good man, honest 228 00:14:00,440 --> 00:14:02,880 Speaker 1: to Yeah, you know, we'll see that that could all 229 00:14:02,960 --> 00:14:08,040 Speaker 1: change once AULT starts up. What what's something you think 230 00:14:08,120 --> 00:14:14,720 Speaker 1: is underrated? Underrated is buying a used car or you know, 231 00:14:14,800 --> 00:14:17,040 Speaker 1: a step or a simple or a bunch of retirement 232 00:14:17,080 --> 00:14:21,080 Speaker 1: accounts that aren't super sexy. I love the people who 233 00:14:21,160 --> 00:14:23,160 Speaker 1: did the marketing for a four oh one K. Four 234 00:14:23,160 --> 00:14:25,000 Speaker 1: o one K is like the darling, but I think 235 00:14:25,080 --> 00:14:28,600 Speaker 1: that's overrated. There are a ton of other retirement accounts 236 00:14:28,640 --> 00:14:31,120 Speaker 1: that I think are underrated. And the more of the 237 00:14:31,120 --> 00:14:33,600 Speaker 1: merrier when it comes to retirement accounts, I think a 238 00:14:33,640 --> 00:14:35,360 Speaker 1: lot of folks think the four oh one K is 239 00:14:35,400 --> 00:14:38,320 Speaker 1: like the only girl at the dance. She's not. There 240 00:14:38,320 --> 00:14:41,680 Speaker 1: are others mm hmm. And does your company need to 241 00:14:41,760 --> 00:14:46,720 Speaker 1: like participate in the other like retirement accounts or you 242 00:14:46,760 --> 00:14:49,480 Speaker 1: can just kind of pick and choose. If you have 243 00:14:49,520 --> 00:14:51,360 Speaker 1: a four o one kit, well, so you can have 244 00:14:51,400 --> 00:14:54,400 Speaker 1: a four oh one K and an Ira. I know 245 00:14:54,440 --> 00:14:58,760 Speaker 1: you guys are staked and Ira love that roth Ira life. 246 00:14:59,080 --> 00:15:02,400 Speaker 1: You just go to the bank and you can open 247 00:15:02,520 --> 00:15:05,200 Speaker 1: up an ira, a traditional or a rath, and the 248 00:15:05,240 --> 00:15:08,040 Speaker 1: only difference is taxes. With a roth you pay taxes. 249 00:15:08,080 --> 00:15:11,000 Speaker 1: Now with the traditional, you pay taxes when you take 250 00:15:11,040 --> 00:15:14,160 Speaker 1: it out. And so that's like a whole other category 251 00:15:14,200 --> 00:15:18,520 Speaker 1: of retirement accounts. Then the four oh one K, so 252 00:15:18,560 --> 00:15:20,600 Speaker 1: you can have a four oh one K and you 253 00:15:20,640 --> 00:15:23,520 Speaker 1: can have a roth ira and a traditional if you want. 254 00:15:23,560 --> 00:15:27,160 Speaker 1: And then sebs and symbols are like other variations of 255 00:15:27,320 --> 00:15:32,080 Speaker 1: iras in that family. If you own your own business, wow, 256 00:15:32,800 --> 00:15:36,160 Speaker 1: I'm so it's how did you become so financially literate? 257 00:15:36,280 --> 00:15:40,560 Speaker 1: Because I grew up in the most pretty financially illiterate 258 00:15:40,800 --> 00:15:43,160 Speaker 1: home or like one where a lot of those things 259 00:15:43,200 --> 00:15:45,320 Speaker 1: were not communicated to me, So there was a lot 260 00:15:45,360 --> 00:15:47,400 Speaker 1: of trial and error once I got out of college. 261 00:15:47,720 --> 00:15:51,000 Speaker 1: So I would always meet people with their financial ship together, 262 00:15:51,160 --> 00:15:56,160 Speaker 1: like how did you get there? I lied? True story. 263 00:15:56,480 --> 00:15:58,200 Speaker 1: I grew up in an immigrant family, so in first 264 00:15:58,200 --> 00:16:01,360 Speaker 1: generation American super oken home. My father died of an 265 00:16:01,360 --> 00:16:03,720 Speaker 1: overdose when I was young. My mother saw pieced out 266 00:16:03,880 --> 00:16:06,520 Speaker 1: and I just needed to work, so I needed to 267 00:16:06,520 --> 00:16:09,320 Speaker 1: get a job. We talked about this before we went 268 00:16:09,320 --> 00:16:11,160 Speaker 1: on the air roll in l A. I went to 269 00:16:11,200 --> 00:16:13,280 Speaker 1: an arts high school. I wanted to be a dancer, 270 00:16:13,560 --> 00:16:16,560 Speaker 1: and then I went to college to be a poetry major. 271 00:16:16,600 --> 00:16:19,160 Speaker 1: So like, I'm the least likely person to be a 272 00:16:19,280 --> 00:16:22,560 Speaker 1: finance expert or whatever. I never thought I'd even be 273 00:16:22,600 --> 00:16:25,400 Speaker 1: in business or talking about business. But then I started 274 00:16:25,440 --> 00:16:31,720 Speaker 1: in journalism and I auditioned for this small station group 275 00:16:31,720 --> 00:16:35,440 Speaker 1: in Chicago. I went to Northwestern and I wanted to 276 00:16:35,440 --> 00:16:38,760 Speaker 1: get like a local news job, and they said, well, 277 00:16:39,120 --> 00:16:40,520 Speaker 1: you don't get this job, but do you know anything 278 00:16:40,560 --> 00:16:43,440 Speaker 1: about business? And I was eighteen at the time, and 279 00:16:43,480 --> 00:16:51,160 Speaker 1: I just said, yes, I just want love business. This 280 00:16:51,200 --> 00:16:54,320 Speaker 1: voice on Sunday. Like I had a boyfriend in high school. 281 00:16:54,360 --> 00:16:56,080 Speaker 1: He said he wanted to be a hedge fund manager, 282 00:16:56,120 --> 00:16:58,840 Speaker 1: and I thought the dude wanted to be a gardening Yeah, 283 00:17:00,240 --> 00:17:03,920 Speaker 1: so if I could do this, anyone could do this. Sure, no, 284 00:17:04,080 --> 00:17:07,399 Speaker 1: and yeah, And I mean I've I've I've gathered that 285 00:17:07,480 --> 00:17:09,679 Speaker 1: over the years. When people like try this read up 286 00:17:09,680 --> 00:17:12,440 Speaker 1: about that, I'm like, oh, right, okay, I think it's 287 00:17:12,480 --> 00:17:15,080 Speaker 1: just at a certain point there was just I think 288 00:17:15,440 --> 00:17:18,919 Speaker 1: my priorities are just completely off. So it took like 289 00:17:19,040 --> 00:17:21,480 Speaker 1: moments like that really is like, yeah, that's right. We 290 00:17:21,520 --> 00:17:24,399 Speaker 1: live in a very complex financial system here as well, 291 00:17:24,480 --> 00:17:26,439 Speaker 1: especially as it relates to like taxes and things like that. 292 00:17:26,520 --> 00:17:28,560 Speaker 1: So at a certain point, I think I just became 293 00:17:28,640 --> 00:17:31,120 Speaker 1: very apathetic because it just felt like, well, this is 294 00:17:31,680 --> 00:17:33,879 Speaker 1: I get it. I would have been apathetic if I 295 00:17:33,920 --> 00:17:37,560 Speaker 1: didn't need it to pay the bills. I wouldn't have 296 00:17:37,600 --> 00:17:40,760 Speaker 1: done it otherwise for sure. And what I realized is 297 00:17:40,800 --> 00:17:43,040 Speaker 1: that money is a language like anything else. We just 298 00:17:43,080 --> 00:17:45,640 Speaker 1: didn't have a Rosetta stone for this language. No matter 299 00:17:45,680 --> 00:17:47,760 Speaker 1: what high school you went to or growing up, no 300 00:17:47,760 --> 00:17:50,399 Speaker 1: matter what kind of household you grew up in. We 301 00:17:50,400 --> 00:17:52,080 Speaker 1: don't learn this stuff in school. We learn a bunch 302 00:17:52,119 --> 00:17:54,320 Speaker 1: of bs, like how to dissect a frog or the 303 00:17:54,320 --> 00:17:59,800 Speaker 1: Pythagorean theorem. Why why we like if we want to 304 00:17:59,800 --> 00:18:02,840 Speaker 1: know when? Right? Like you want to train get to 305 00:18:02,880 --> 00:18:10,240 Speaker 1: a station, but you know what the Pythagorean theorem is, 306 00:18:10,280 --> 00:18:15,320 Speaker 1: don't you. Yeah, I'm square equals squared, that's right, or 307 00:18:15,840 --> 00:18:18,520 Speaker 1: but you but then you start asking me about retirement. 308 00:18:18,640 --> 00:18:24,359 Speaker 1: I'm like, shit, Right, if I were in charge of 309 00:18:24,359 --> 00:18:27,479 Speaker 1: the world, we would learn about sebs and simples instead 310 00:18:27,480 --> 00:18:32,000 Speaker 1: of ice slus triangles. But I'm not yet. And you know, 311 00:18:32,080 --> 00:18:34,399 Speaker 1: I think that for me at a necessity, I just 312 00:18:34,440 --> 00:18:36,840 Speaker 1: went to school of hard knocks. And you know, if 313 00:18:36,840 --> 00:18:39,640 Speaker 1: you go to China you don't speak Chinese, you'd be confused. 314 00:18:39,640 --> 00:18:40,960 Speaker 1: If you go to Wall Street, you don't speak the 315 00:18:41,000 --> 00:18:43,600 Speaker 1: language of money, you'd be confused. But then hello, Captain obvious. 316 00:18:43,640 --> 00:18:47,320 Speaker 1: Once you speak it, you understand it. But first you 317 00:18:47,320 --> 00:18:49,440 Speaker 1: have to just learn this silly little language. But it's 318 00:18:49,480 --> 00:18:52,840 Speaker 1: like not complicated and so. And I think that's probably 319 00:18:52,880 --> 00:18:55,840 Speaker 1: intentional too, because I think most people, if you're not 320 00:18:55,920 --> 00:18:58,639 Speaker 1: making globs of money, you don't learn a lot of 321 00:18:58,640 --> 00:19:02,440 Speaker 1: the other tricks of the trade or like wealth accumulation 322 00:19:02,560 --> 00:19:06,000 Speaker 1: tactics that people have. And it seems like, yeah, you'll 323 00:19:06,040 --> 00:19:08,000 Speaker 1: just be like, well, then that's for someone else, But 324 00:19:08,080 --> 00:19:11,480 Speaker 1: then you realize, no, it's just we can educate ourselves, 325 00:19:12,160 --> 00:19:14,359 Speaker 1: maybe give ourselves a different outcome. Yeah. And then a 326 00:19:14,359 --> 00:19:17,480 Speaker 1: lot of women in particular, you know, I wrote Rich Bitch. 327 00:19:18,119 --> 00:19:20,360 Speaker 1: I either thought it was going to fail or crush it. 328 00:19:20,480 --> 00:19:22,520 Speaker 1: There was no gray area. People were gonna have feelings 329 00:19:22,520 --> 00:19:25,800 Speaker 1: about the book. But because I think women in particular 330 00:19:26,000 --> 00:19:28,439 Speaker 1: don't get their financial lives together because they think a 331 00:19:28,480 --> 00:19:30,560 Speaker 1: guy is going to take care of it, and listening 332 00:19:30,560 --> 00:19:38,520 Speaker 1: to you guys, case in pointake care of it out 333 00:19:38,560 --> 00:19:41,919 Speaker 1: of a spider though, yeah, you know, or I will 334 00:19:42,080 --> 00:19:44,640 Speaker 1: escort it outside because I like spiders. But I'm there. 335 00:19:44,720 --> 00:19:47,639 Speaker 1: But yeah, you start talking about college funds and stuff 336 00:19:47,680 --> 00:19:49,480 Speaker 1: like that. Like my partner I was like, what, dude, 337 00:19:49,480 --> 00:19:52,120 Speaker 1: should we in the college fun? Like, man, I'm gonna 338 00:19:52,119 --> 00:19:56,280 Speaker 1: sella n F T. And then you know, like that's 339 00:19:56,280 --> 00:20:00,639 Speaker 1: not a strategy. I'm like, you're right. Do you have 340 00:20:00,760 --> 00:20:03,639 Speaker 1: a like a crash course do you recommend for people 341 00:20:03,720 --> 00:20:05,679 Speaker 1: just to like kind of like, what what did you 342 00:20:05,720 --> 00:20:10,639 Speaker 1: read to first sort of learn the language. I was 343 00:20:10,680 --> 00:20:13,280 Speaker 1: just on the floor of the Chicago Merk, which is 344 00:20:13,320 --> 00:20:16,200 Speaker 1: like Wolf of Wall Street style, and so I learned 345 00:20:16,240 --> 00:20:18,920 Speaker 1: it there and I realized, like, when I heard people 346 00:20:18,960 --> 00:20:21,440 Speaker 1: say short, I thought it was the opposite at all, 347 00:20:21,640 --> 00:20:24,040 Speaker 1: but it's not. It's just the opposite of long in 348 00:20:24,280 --> 00:20:26,960 Speaker 1: the Wall Street world, and it's not complicated. It's like 349 00:20:26,960 --> 00:20:30,280 Speaker 1: it just means something's going in the pooper, it's going 350 00:20:30,320 --> 00:20:32,800 Speaker 1: to fail, and that's all. But nobody says it like that. 351 00:20:32,840 --> 00:20:36,040 Speaker 1: They say, you know, most folks who explain it don't 352 00:20:36,040 --> 00:20:39,000 Speaker 1: even understand what the heck they're saying. And so I 353 00:20:39,040 --> 00:20:41,440 Speaker 1: thought that there was an opportunity to be like, hello, 354 00:20:41,600 --> 00:20:45,840 Speaker 1: everybody is just like smoking something here? Can can somebody 355 00:20:45,880 --> 00:20:48,639 Speaker 1: just explain this, like say it plain how it is? 356 00:20:49,280 --> 00:20:51,639 Speaker 1: And so that's what I tried to do, and so 357 00:20:52,240 --> 00:20:56,000 Speaker 1: folks wanted that. Yeah, so rich Bitch would be the 358 00:20:57,880 --> 00:21:00,280 Speaker 1: rich Bitch would be a good place to start. Boss 359 00:21:00,280 --> 00:21:02,840 Speaker 1: Mitch would be another good place to start. Miss Independent 360 00:21:02,960 --> 00:21:05,960 Speaker 1: is the book I have coming out in January, and 361 00:21:06,080 --> 00:21:08,320 Speaker 1: not to sort of like sell my own books, but 362 00:21:08,480 --> 00:21:11,920 Speaker 1: I came up with the Money School because I kept 363 00:21:12,000 --> 00:21:14,680 Speaker 1: saying the same type of schpiel, like why isn't there 364 00:21:14,720 --> 00:21:16,320 Speaker 1: a class? And so I kept saying it so much 365 00:21:16,320 --> 00:21:18,120 Speaker 1: I was like I might as well do one because 366 00:21:18,840 --> 00:21:22,480 Speaker 1: and it doesn't include the Pythagorean theorem. Yeah, you're really 367 00:21:22,520 --> 00:21:25,760 Speaker 1: hard on the Pythagorean theorem. By the way, I do 368 00:21:25,880 --> 00:21:28,720 Speaker 1: have to stand up for the Pagan theorem. That's never 369 00:21:29,160 --> 00:21:32,560 Speaker 1: steered me wrong as far as I know, in the 370 00:21:32,680 --> 00:21:34,399 Speaker 1: zero times that I've had to use it in my 371 00:21:34,480 --> 00:21:38,960 Speaker 1: everyday life. You're right, let's be fair, Miles. You know 372 00:21:39,280 --> 00:21:43,560 Speaker 1: it's really hard on her. All right, let's take a 373 00:21:43,640 --> 00:21:56,840 Speaker 1: quick break and we'll be right back, and we're back, 374 00:21:57,520 --> 00:22:01,520 Speaker 1: and a Texas federal j has put an end to 375 00:22:01,720 --> 00:22:06,360 Speaker 1: the abortion band for now. This is District Judge Robert Pittman. 376 00:22:07,200 --> 00:22:11,520 Speaker 1: He issued a one thirteen page opinion on Wednesday night, 377 00:22:11,880 --> 00:22:15,120 Speaker 1: and it basically just calls out all the things that 378 00:22:15,240 --> 00:22:17,679 Speaker 1: people have been saying about this law, like from the 379 00:22:17,720 --> 00:22:23,240 Speaker 1: start that effectively it reverses, you know, the Constitution, Like 380 00:22:23,280 --> 00:22:27,680 Speaker 1: what what is agreed on legally as like legal president 381 00:22:27,880 --> 00:22:31,439 Speaker 1: in the country. Yeah, it's just it's as unconstitutional as 382 00:22:31,480 --> 00:22:35,800 Speaker 1: it looked. And this just judge this because his opinion 383 00:22:35,880 --> 00:22:37,920 Speaker 1: was so different than what the Fifth Circuit or even 384 00:22:37,920 --> 00:22:40,200 Speaker 1: the Supreme Court did, which was basically be like, oh, 385 00:22:40,359 --> 00:22:42,800 Speaker 1: I don't know how to if we can enforce this 386 00:22:42,880 --> 00:22:46,080 Speaker 1: is very tricky this bill that they've credit and then 387 00:22:46,119 --> 00:22:49,320 Speaker 1: just sort of like let things go on. But I 388 00:22:49,320 --> 00:22:51,840 Speaker 1: mean this this judge was unequivocal, he said, quote from 389 00:22:51,840 --> 00:22:54,440 Speaker 1: the moment SBA went into effect, women have been unlawfully 390 00:22:54,440 --> 00:22:57,159 Speaker 1: prevented from exercising control over their lives and ways that 391 00:22:57,200 --> 00:23:00,360 Speaker 1: are protected by the Constitution that other courts they find 392 00:23:00,359 --> 00:23:03,360 Speaker 1: a way to avoid. This conclusion is theirs to decide 393 00:23:03,680 --> 00:23:06,439 Speaker 1: this court will not sanction one more day of this 394 00:23:06,560 --> 00:23:11,359 Speaker 1: offensive deprivation of such an important right, people like, oh okay, 395 00:23:11,359 --> 00:23:14,520 Speaker 1: oh easy go a little bit easy on scote is there. 396 00:23:14,840 --> 00:23:19,120 Speaker 1: But you know, this law was deliberately designed to avoid 397 00:23:19,200 --> 00:23:22,440 Speaker 1: any kind of judicial review, like so that no one 398 00:23:22,480 --> 00:23:26,080 Speaker 1: could find someone to sue over this law, because what 399 00:23:26,200 --> 00:23:28,680 Speaker 1: they did was just sort of say, we're gonna basically 400 00:23:28,760 --> 00:23:31,359 Speaker 1: make it so private citizens are going to be the 401 00:23:31,400 --> 00:23:34,800 Speaker 1: ones that's the enforcement mechanism, not the government or the 402 00:23:34,880 --> 00:23:37,760 Speaker 1: state itself. So because of that, good luck trying to 403 00:23:37,840 --> 00:23:39,479 Speaker 1: you know, that's it's the way the bills set up. 404 00:23:39,480 --> 00:23:41,760 Speaker 1: It's not us, it's it's just everyday citizens that are 405 00:23:41,760 --> 00:23:44,720 Speaker 1: going to enforce this. So if that was just sort 406 00:23:44,760 --> 00:23:46,760 Speaker 1: of everyone just had their hands up and most people 407 00:23:46,840 --> 00:23:50,560 Speaker 1: like this is just so just so just flatly cynical 408 00:23:50,680 --> 00:23:54,000 Speaker 1: when you look at just how it's designed and there's 409 00:23:54,000 --> 00:23:57,320 Speaker 1: no one to sue, then there's no judicial review. And 410 00:23:57,359 --> 00:24:01,400 Speaker 1: Pittman wasn't buying this sort of blatant again legal cynicism, 411 00:24:01,600 --> 00:24:03,600 Speaker 1: and said, you know, the State of Texas very much 412 00:24:03,720 --> 00:24:06,399 Speaker 1: does have a hand in enforcement as it relates to 413 00:24:06,480 --> 00:24:10,600 Speaker 1: things like instructing judges on the penalties to assess under 414 00:24:10,640 --> 00:24:14,720 Speaker 1: this specific law. So the judge wasn't buying it and saying, no, 415 00:24:14,880 --> 00:24:16,800 Speaker 1: you know what this is, I'm not I can't, I 416 00:24:16,800 --> 00:24:18,679 Speaker 1: can't let this stand. So he just went on to 417 00:24:18,760 --> 00:24:22,520 Speaker 1: dismantle many of the arguments about like what is even 418 00:24:22,560 --> 00:24:25,640 Speaker 1: a heartbeat at six weeks? What does it even mean 419 00:24:25,960 --> 00:24:27,960 Speaker 1: for most people at six weeks that may not even 420 00:24:28,000 --> 00:24:31,280 Speaker 1: know that they're pregnant, or and also like issues as 421 00:24:31,320 --> 00:24:34,440 Speaker 1: it relates to access and things like that. So right 422 00:24:34,480 --> 00:24:36,960 Speaker 1: now the law can't be enforced, but a lot of 423 00:24:37,119 --> 00:24:40,080 Speaker 1: like abortion providers are also a little bit worried about 424 00:24:40,440 --> 00:24:42,160 Speaker 1: you know, there's there is a provision in the bill 425 00:24:42,280 --> 00:24:46,119 Speaker 1: that allows for retroactive lawsuits to be brought um, so 426 00:24:46,240 --> 00:24:49,280 Speaker 1: even during this time, if it were reinstated, they feel 427 00:24:49,320 --> 00:24:52,080 Speaker 1: like that's in the wording. So they're still trying to 428 00:24:52,119 --> 00:24:55,040 Speaker 1: figure things out, and they've made it clear the State 429 00:24:55,080 --> 00:24:57,240 Speaker 1: of Texas like we're gonna appeal to the fifth the 430 00:24:57,240 --> 00:25:00,000 Speaker 1: fifth Circuit that already looked the other way the first 431 00:25:00,080 --> 00:25:03,280 Speaker 1: time we brought this around. So it's a very much 432 00:25:03,760 --> 00:25:06,040 Speaker 1: you know, back and forth at this point. But at 433 00:25:06,080 --> 00:25:10,320 Speaker 1: least this is a a small victory, right, I mean, 434 00:25:10,359 --> 00:25:14,000 Speaker 1: from the perspective of someone in the finance world, it's 435 00:25:14,040 --> 00:25:18,199 Speaker 1: really disturbing that the Texas Abortion Band pits people in 436 00:25:18,280 --> 00:25:22,440 Speaker 1: low socio economic groups against each other. So the wealthy elite, 437 00:25:22,680 --> 00:25:26,240 Speaker 1: regardless of what goes on in Scotus or the laws 438 00:25:26,320 --> 00:25:29,080 Speaker 1: of the state, are always going to be able to 439 00:25:29,119 --> 00:25:33,320 Speaker 1: get reproductive healthcare. But it's the folks in low socioeconomic 440 00:25:33,359 --> 00:25:36,320 Speaker 1: groups that can't travel to another state or miss work 441 00:25:36,600 --> 00:25:40,479 Speaker 1: or hourly work to get an abortion. So this pits 442 00:25:40,640 --> 00:25:44,520 Speaker 1: people who have unwanted pregnancies against people who need a 443 00:25:44,520 --> 00:25:48,920 Speaker 1: couple bucks. And you know, that's not really been reported extensively, 444 00:25:49,000 --> 00:25:51,520 Speaker 1: but I find that the most appalling. Oh just sort 445 00:25:51,520 --> 00:25:56,800 Speaker 1: of like the incentive, like how they're incentivized essentially. Yeah, 446 00:25:57,160 --> 00:25:59,840 Speaker 1: the what one of the people who brought one of 447 00:25:59,880 --> 00:26:04,600 Speaker 1: the UH first lawsuits was like, yeah, I mean I'm 448 00:26:05,200 --> 00:26:09,800 Speaker 1: pro life ish but or anti choice ish, but really 449 00:26:09,800 --> 00:26:11,840 Speaker 1: I'm just doing this because I need the money. I'm 450 00:26:11,840 --> 00:26:21,000 Speaker 1: a disgraced lawyer, Like things aren't going great. Yeah, it's 451 00:26:21,720 --> 00:26:25,400 Speaker 1: it's fucked. And it really is, like, I think a 452 00:26:25,440 --> 00:26:28,200 Speaker 1: decision that has been made, or at least a lesson 453 00:26:28,280 --> 00:26:33,080 Speaker 1: that's been learned in politics that like if everything's happening 454 00:26:33,520 --> 00:26:39,320 Speaker 1: among people who are you know, in the lower levels 455 00:26:39,320 --> 00:26:43,280 Speaker 1: of the you know, very real American cast system. People 456 00:26:43,400 --> 00:26:46,639 Speaker 1: like the mainstream media won't pay attention to it like that, 457 00:26:47,240 --> 00:26:49,960 Speaker 1: they won't cover it. Do you guys know how pregnancy 458 00:26:50,000 --> 00:26:53,080 Speaker 1: weeks work? I think we've talked about it. I mean, 459 00:26:53,320 --> 00:26:56,520 Speaker 1: I mean, like very in like a very from reading 460 00:26:56,640 --> 00:27:00,280 Speaker 1: articles many times and knowing like what like in terms 461 00:27:00,280 --> 00:27:03,439 Speaker 1: of gestation, like what at six weeks they're interpreting as 462 00:27:03,480 --> 00:27:06,800 Speaker 1: a heart rate, which is an electrical impulse, and there's 463 00:27:06,840 --> 00:27:09,399 Speaker 1: the fetus at that point is not even developed an 464 00:27:09,440 --> 00:27:11,960 Speaker 1: actual heart I mean things like that, But I would 465 00:27:12,000 --> 00:27:14,120 Speaker 1: not say I'm an expert by any stretch. Now I'm 466 00:27:14,160 --> 00:27:17,840 Speaker 1: not an expert either. I did a couple episodes on this. 467 00:27:18,160 --> 00:27:20,119 Speaker 1: I had a miscarriage earlier this year, and it was 468 00:27:20,160 --> 00:27:23,600 Speaker 1: actually only then that I figured out how pregnancy weeks work. 469 00:27:23,680 --> 00:27:26,800 Speaker 1: So they actually add two weeks on when they're talking 470 00:27:26,840 --> 00:27:29,480 Speaker 1: about how many weeks you are pregnant, so you count 471 00:27:29,480 --> 00:27:32,320 Speaker 1: it from you know, your last menstrual cycle, but obviously 472 00:27:32,800 --> 00:27:36,000 Speaker 1: that's not when you got pregnant, and so six weeks 473 00:27:36,000 --> 00:27:41,040 Speaker 1: in this case is technically four weeks from conception, which 474 00:27:41,080 --> 00:27:44,040 Speaker 1: is really hard for any woman to know, right And 475 00:27:44,040 --> 00:27:46,280 Speaker 1: and that's all this judge said. It's like, this is 476 00:27:46,320 --> 00:27:49,840 Speaker 1: just setting down an impossible task for someone who is 477 00:27:49,880 --> 00:27:53,200 Speaker 1: pregnant to even know, and for most people, like when 478 00:27:53,200 --> 00:27:55,960 Speaker 1: they even know they're pregnant, it's well past six weeks. So, 479 00:27:56,800 --> 00:28:00,640 Speaker 1: you know, a credit to this judge for build sadly 480 00:28:00,760 --> 00:28:04,359 Speaker 1: being brave enough to defend like what people had agreed 481 00:28:04,440 --> 00:28:07,360 Speaker 1: upon was a constitutional right and to not just give 482 00:28:07,400 --> 00:28:09,920 Speaker 1: like a you know, like in the Supreme Court is 483 00:28:09,960 --> 00:28:12,920 Speaker 1: like a like a couple of paragraphs to just sort 484 00:28:12,920 --> 00:28:15,760 Speaker 1: of explain that's complex and you know, we're not going 485 00:28:15,840 --> 00:28:19,560 Speaker 1: to really touch it. So yeah, I think I hope 486 00:28:19,960 --> 00:28:23,480 Speaker 1: that this can at least set a higher standard. And 487 00:28:23,520 --> 00:28:25,960 Speaker 1: we'll see if again this appeal, what happens with that, 488 00:28:26,000 --> 00:28:28,639 Speaker 1: because the Fifth Circuit again was more than willing to 489 00:28:28,680 --> 00:28:31,879 Speaker 1: accept these kinds of arguments the first time. But Nicholae, 490 00:28:31,880 --> 00:28:34,600 Speaker 1: you're saying that it's not counting back from the last 491 00:28:34,800 --> 00:28:38,080 Speaker 1: from your missed menstrual cycle. It's counting back from your 492 00:28:38,200 --> 00:28:42,520 Speaker 1: last mestural cycle that you actually had. Yeah, I actually 493 00:28:42,560 --> 00:28:46,840 Speaker 1: didn't know that until I was pregnant, right, So Obi 494 00:28:46,960 --> 00:28:50,240 Speaker 1: explained this to me, And so yeah, so let's say 495 00:28:50,400 --> 00:28:54,320 Speaker 1: you know, your last menstrual cycle was what October one, 496 00:28:54,560 --> 00:28:57,040 Speaker 1: and you know how we know how babies are made, 497 00:28:57,240 --> 00:28:59,560 Speaker 1: you know, happens in the middle of your cycle, right, 498 00:28:59,600 --> 00:29:02,720 Speaker 1: So say conception was around you know, the fifteen or 499 00:29:02,760 --> 00:29:07,640 Speaker 1: something like that, then you know six weeks out is 500 00:29:08,600 --> 00:29:16,760 Speaker 1: actually November, right, So even though that's four weeks since conception, 501 00:29:17,600 --> 00:29:19,720 Speaker 1: so they count it from the beginning. Yeah, they just 502 00:29:19,800 --> 00:29:22,560 Speaker 1: add on two weeks and so that really gives you 503 00:29:22,600 --> 00:29:27,360 Speaker 1: two weeks from your missed menstrual period, which obviously is 504 00:29:27,400 --> 00:29:31,120 Speaker 1: not always like okay, this is clockwork. It's not here, 505 00:29:31,160 --> 00:29:34,000 Speaker 1: so it must be pregnant like that. There's all sorts 506 00:29:34,040 --> 00:29:38,760 Speaker 1: of different reasons for you know, delayed menstrual periods and 507 00:29:38,840 --> 00:29:43,960 Speaker 1: so like that, that really gives you two weeks best 508 00:29:44,000 --> 00:29:47,520 Speaker 1: case scenario to know if you're going by you know, 509 00:29:48,080 --> 00:29:52,760 Speaker 1: the you're missing a menstrual cycle two weeks too, then 510 00:29:53,280 --> 00:29:56,680 Speaker 1: needing to get a hotel and you know, making all 511 00:29:56,680 --> 00:30:00,440 Speaker 1: those plans, it's not enough time, and it's actually you know, 512 00:30:00,480 --> 00:30:02,160 Speaker 1: how are you going to get time off work? There's 513 00:30:02,200 --> 00:30:07,400 Speaker 1: all these other economic issues that are embedded into this. Yeah, 514 00:30:07,440 --> 00:30:10,080 Speaker 1: and it's funny because like in Texas, they're also arguing 515 00:30:10,120 --> 00:30:11,880 Speaker 1: it's like, well we're not cutting like people can go 516 00:30:11,920 --> 00:30:15,160 Speaker 1: to like Oklahoma or like Colorado or like other places 517 00:30:15,240 --> 00:30:17,280 Speaker 1: and like and that works. But they're just like, no, no, 518 00:30:17,320 --> 00:30:19,920 Speaker 1: you don't understand. If you are allowed to have a 519 00:30:20,040 --> 00:30:23,800 Speaker 1: law that's unconstitutional like this, then every state can. So 520 00:30:23,840 --> 00:30:26,200 Speaker 1: it's not that this state is just in a vacuum. 521 00:30:26,600 --> 00:30:31,200 Speaker 1: So again, like you know, they're very disingenuous attempt at 522 00:30:31,200 --> 00:30:35,440 Speaker 1: doing this was like rightly observed and in a proper 523 00:30:35,520 --> 00:30:38,400 Speaker 1: opinion was like written on it. But yeah, at this point, 524 00:30:38,440 --> 00:30:40,160 Speaker 1: I think this is just something that we're going to 525 00:30:40,280 --> 00:30:43,400 Speaker 1: keep seeing them trying to test what's gonna work or 526 00:30:43,440 --> 00:30:46,560 Speaker 1: what's not. And you know, if Scotus will deliver a 527 00:30:46,680 --> 00:30:49,840 Speaker 1: deathblow eventually, yeah, I mean I would just say that 528 00:30:49,920 --> 00:30:54,840 Speaker 1: nobody is pro abortion, you know, nobody is. In the 529 00:30:54,880 --> 00:30:57,840 Speaker 1: episode that we did about this, I talked about a 530 00:30:57,840 --> 00:31:00,560 Speaker 1: pregnancy termination that I had when I was smith younger 531 00:31:00,960 --> 00:31:03,640 Speaker 1: and I was on birth control and I was taking 532 00:31:03,640 --> 00:31:06,680 Speaker 1: another pill that made it ineffective and it was by 533 00:31:06,760 --> 00:31:10,200 Speaker 1: far the worst day of my life. And so when 534 00:31:10,240 --> 00:31:13,240 Speaker 1: you see protesters, I'm always like, who do you think 535 00:31:13,280 --> 00:31:17,600 Speaker 1: you're protesting against? These are like your sisters potentially or 536 00:31:17,600 --> 00:31:21,040 Speaker 1: your coworkers. I only then opened up to friends, and 537 00:31:21,080 --> 00:31:23,840 Speaker 1: I had no idea that other so many of my 538 00:31:23,920 --> 00:31:27,320 Speaker 1: friends and other women have gone through the very same thing. 539 00:31:27,480 --> 00:31:30,640 Speaker 1: So I would just underscore that this idea that this 540 00:31:30,720 --> 00:31:34,360 Speaker 1: is somehow like a birth control or a fun, you know, 541 00:31:34,480 --> 00:31:39,280 Speaker 1: excursion to Oklahoma. It's not devastating. Yeah, kind of the 542 00:31:39,360 --> 00:31:41,280 Speaker 1: off of your point, Nicole, I do I do want 543 00:31:41,320 --> 00:31:45,560 Speaker 1: to talk about this l a Times report about heat waves, 544 00:31:46,120 --> 00:31:49,280 Speaker 1: which is basically that they're saying that heat waves are 545 00:31:49,280 --> 00:31:54,000 Speaker 1: six times deadlier than the official counts recognize, just using 546 00:31:54,160 --> 00:31:58,480 Speaker 1: data of like how many people would normally die during 547 00:31:59,320 --> 00:32:02,800 Speaker 1: a period, and then how many people die when the 548 00:32:03,000 --> 00:32:07,880 Speaker 1: temperature is like extremely elevated. And also off of your 549 00:32:07,920 --> 00:32:10,960 Speaker 1: point earlier, is happening to the sorts of people that 550 00:32:11,000 --> 00:32:15,280 Speaker 1: we don't see reported on, which is the poorest people, 551 00:32:15,640 --> 00:32:20,520 Speaker 1: the unhoused, the elderly, the infirm, like people who you know, 552 00:32:20,600 --> 00:32:23,280 Speaker 1: the news is like we don't we don't really want 553 00:32:23,280 --> 00:32:27,040 Speaker 1: to see stories about them. And it's you know, way 554 00:32:27,120 --> 00:32:30,320 Speaker 1: higher than anybody gives a credit for. They point out 555 00:32:30,320 --> 00:32:36,840 Speaker 1: in the article that after a massive heatwave in California, 556 00:32:37,000 --> 00:32:42,200 Speaker 1: thinking there were so many deaths, and like in a 557 00:32:42,280 --> 00:32:46,760 Speaker 1: normal natural disaster, you would see like NonStop reporting and 558 00:32:46,840 --> 00:32:51,520 Speaker 1: like where did we fall short? What happened? And there 559 00:32:51,600 --> 00:32:54,120 Speaker 1: there was none of that. It was like it didn't happen. 560 00:32:54,680 --> 00:32:58,400 Speaker 1: And I think part of the problem is that these 561 00:32:58,400 --> 00:33:01,320 Speaker 1: deaths aren't really like easy ee to see or like 562 00:33:01,400 --> 00:33:04,080 Speaker 1: picture in your mind's eye. Like even in the article 563 00:33:04,280 --> 00:33:07,400 Speaker 1: as they described the deaths, they sort of happened like 564 00:33:08,000 --> 00:33:12,400 Speaker 1: off camera, Like an elderly man is like working digging 565 00:33:12,440 --> 00:33:16,680 Speaker 1: ditches on during heatwave and goes home feeling sick and 566 00:33:16,720 --> 00:33:19,560 Speaker 1: it's found that night in cardiac arrest and his driveway, 567 00:33:19,600 --> 00:33:23,640 Speaker 1: and it's like you don't see them because they're just 568 00:33:23,720 --> 00:33:27,280 Speaker 1: like not necessarily things that are happening in front of people. 569 00:33:27,320 --> 00:33:31,840 Speaker 1: That's more kind of deaths of neglect. And just like 570 00:33:31,920 --> 00:33:35,320 Speaker 1: in general, I always talk about how movies really give 571 00:33:35,440 --> 00:33:41,440 Speaker 1: us our visual like vocabulary for things, like we our 572 00:33:41,840 --> 00:33:44,960 Speaker 1: vision of space is mostly based on like movies that 573 00:33:44,960 --> 00:33:47,360 Speaker 1: we've seen take place in space, or you know, our 574 00:33:47,480 --> 00:33:51,400 Speaker 1: vision of countries we haven't been to, and like every 575 00:33:51,560 --> 00:33:55,920 Speaker 1: other natural disaster has been depicted in movies, like I 576 00:33:56,040 --> 00:34:01,560 Speaker 1: can picture people in floods and tsunami's like freezing earthquake, 577 00:34:01,600 --> 00:34:06,320 Speaker 1: twist or hurricane, but like there's there's nothing for really 578 00:34:06,360 --> 00:34:08,680 Speaker 1: like a heat death of it than like somebody and 579 00:34:09,360 --> 00:34:12,880 Speaker 1: on like a desert island and it's like a slow 580 00:34:12,920 --> 00:34:15,800 Speaker 1: dissolved to a skeleton with a pirate head on or whatever. 581 00:34:16,440 --> 00:34:19,759 Speaker 1: But they're just pointing out that, like this is the 582 00:34:20,040 --> 00:34:24,520 Speaker 1: deadliest form of natural disaster already in America and it's 583 00:34:25,080 --> 00:34:28,400 Speaker 1: only going to get worse from here until we address 584 00:34:28,440 --> 00:34:32,359 Speaker 1: climate change, and we're just not you know that, like 585 00:34:32,800 --> 00:34:37,360 Speaker 1: California put together a list of I think forty recommendations 586 00:34:37,400 --> 00:34:41,880 Speaker 1: for like how they could address this problem and of 587 00:34:42,040 --> 00:34:44,800 Speaker 1: heat death, of heat death yet and just like extreme 588 00:34:44,880 --> 00:34:49,280 Speaker 1: heat and like being prepared for it, and years later 589 00:34:49,400 --> 00:34:52,719 Speaker 1: they're asked about it and they're like, yeah, well we've 590 00:34:52,760 --> 00:34:56,240 Speaker 1: made like progress on like six of those things, which 591 00:34:56,400 --> 00:34:59,479 Speaker 1: and the articles like that's even a stretch. So it's 592 00:34:59,520 --> 00:35:02,359 Speaker 1: just something to keep an eye on because it is 593 00:35:02,440 --> 00:35:06,640 Speaker 1: like sort of this silent, invisible killer that is happening 594 00:35:06,640 --> 00:35:09,920 Speaker 1: more and more because of climate change. Right, Yeah, but 595 00:35:10,160 --> 00:35:13,200 Speaker 1: that's the community that climate change is affecting the most. 596 00:35:13,760 --> 00:35:15,359 Speaker 1: And you guys have seen a lot of this news 597 00:35:15,400 --> 00:35:17,880 Speaker 1: around the dead ceiling recently, and part of this, if 598 00:35:17,920 --> 00:35:21,239 Speaker 1: we don't raise the dead ceiling, then FEMA is not 599 00:35:21,239 --> 00:35:23,680 Speaker 1: going to have as much money to take care of 600 00:35:23,760 --> 00:35:27,319 Speaker 1: people that are hit by natural disasters. And of course 601 00:35:27,360 --> 00:35:29,759 Speaker 1: we've seen from these climate change reports that that's only 602 00:35:29,800 --> 00:35:34,400 Speaker 1: gonna increase. So that really scares me, right, And on 603 00:35:34,520 --> 00:35:36,680 Speaker 1: top of it, you have people in the Senate who 604 00:35:36,719 --> 00:35:39,600 Speaker 1: are willing to just weaponize that to be like, yeah, 605 00:35:39,719 --> 00:35:43,520 Speaker 1: like I'll trigger global recession like watch, and then that 606 00:35:43,560 --> 00:35:45,200 Speaker 1: way I can just point the finger at Joe Biden 607 00:35:45,200 --> 00:35:48,200 Speaker 1: in the mid terms, because that's how cynical we are. Yeah, 608 00:35:48,400 --> 00:35:53,000 Speaker 1: it's it's definitely, I think, just this ongoing problem. But yeah, 609 00:35:53,080 --> 00:35:55,640 Speaker 1: to the idea of like people not having the imagination, 610 00:35:56,360 --> 00:35:59,400 Speaker 1: I mean, I remember, like my grandfather had a story 611 00:35:59,440 --> 00:36:02,240 Speaker 1: about like the war, about how he got heat stroke 612 00:36:02,640 --> 00:36:05,520 Speaker 1: or you know, just at the time he was just 613 00:36:05,600 --> 00:36:09,280 Speaker 1: digging in a just out in the direct sunlight and 614 00:36:09,920 --> 00:36:12,080 Speaker 1: describe all these things that happened to him. And even 615 00:36:12,120 --> 00:36:13,719 Speaker 1: as a kid, I was like just from being in 616 00:36:13,760 --> 00:36:17,000 Speaker 1: the sun. And I think, because we don't have the 617 00:36:17,040 --> 00:36:20,520 Speaker 1: imagination for it, it it seems like this very obscure thing. 618 00:36:20,640 --> 00:36:23,520 Speaker 1: Yet every time you look at a heat wave, come. 619 00:36:23,920 --> 00:36:25,960 Speaker 1: You can just see the death rates go up, whether 620 00:36:26,000 --> 00:36:28,319 Speaker 1: it's here or like in Europe a few years ago. 621 00:36:28,440 --> 00:36:31,080 Speaker 1: Like it's it's just a very it's a very real thing. 622 00:36:31,120 --> 00:36:32,959 Speaker 1: But yeah, we just I don't know if we can 623 00:36:33,920 --> 00:36:36,239 Speaker 1: people can are able to connect it because it just 624 00:36:36,239 --> 00:36:40,000 Speaker 1: seems like an obscure way to die. Yeah. Yeah, but 625 00:36:40,239 --> 00:36:44,319 Speaker 1: somebody asked you something about it. You know, during the 626 00:36:44,320 --> 00:36:46,879 Speaker 1: the new cycle of the Climate change report, I saw 627 00:36:46,920 --> 00:36:49,920 Speaker 1: this really interesting quote. I was talking to my partner 628 00:36:49,920 --> 00:36:52,360 Speaker 1: about it. It It does a lot of work in climate change, 629 00:36:52,480 --> 00:36:55,240 Speaker 1: and he said that this man said to his wife, 630 00:36:55,800 --> 00:36:58,200 Speaker 1: you know, I'm scared to raise children in a time 631 00:36:58,480 --> 00:37:01,239 Speaker 1: like this, And then the women said, I disagree. It's 632 00:37:01,280 --> 00:37:03,960 Speaker 1: the ultimate privilege. I always love this quote. To raise 633 00:37:04,120 --> 00:37:08,880 Speaker 1: dragon slayers in a time when there are dragons just like, yeah, 634 00:37:09,200 --> 00:37:11,480 Speaker 1: I love that. I've already talked to my five year 635 00:37:11,520 --> 00:37:13,520 Speaker 1: old and three year old about like, hey, so this 636 00:37:13,640 --> 00:37:15,880 Speaker 1: is going to be the main challenge of your lifetime, 637 00:37:16,000 --> 00:37:18,239 Speaker 1: is like we we have to figure out how to 638 00:37:18,280 --> 00:37:22,560 Speaker 1: deal with all sorts of ship. But yeah, but I 639 00:37:22,560 --> 00:37:25,160 Speaker 1: think that's why that this These younger kids have a 640 00:37:25,239 --> 00:37:29,040 Speaker 1: much more acute form of like eco anxiety than any 641 00:37:29,080 --> 00:37:32,040 Speaker 1: other generation, you know, like they're they I think they're 642 00:37:32,360 --> 00:37:35,399 Speaker 1: it's really connecting the dots for them. That like this 643 00:37:35,480 --> 00:37:39,239 Speaker 1: is for many people who are under forty, things can 644 00:37:39,280 --> 00:37:43,520 Speaker 1: begin will begin to look very different very quickly. Eco anxiety, 645 00:37:43,560 --> 00:37:46,799 Speaker 1: that's the thing too. Yeah, there's like a study about 646 00:37:46,800 --> 00:37:48,560 Speaker 1: it yet, just how it's affecting, you know, just this 647 00:37:48,600 --> 00:37:51,680 Speaker 1: idea of how it seems like every day you're reading 648 00:37:51,719 --> 00:37:55,640 Speaker 1: a report about how coral reefs are beginning to disappear, 649 00:37:55,880 --> 00:37:59,640 Speaker 1: or the biodiversity of shrinking, and like the biomass is going, 650 00:37:59,680 --> 00:38:02,239 Speaker 1: like just all these things and it just feels like 651 00:38:02,280 --> 00:38:06,520 Speaker 1: a cascading, never ending omni crisis of the environment. And 652 00:38:06,800 --> 00:38:09,439 Speaker 1: that is like that leads to a very specific form 653 00:38:09,480 --> 00:38:13,040 Speaker 1: of anxiety around like how viable our earth is going 654 00:38:13,080 --> 00:38:15,719 Speaker 1: to be? I tried to focus on on more like 655 00:38:16,160 --> 00:38:18,880 Speaker 1: you guys get to build an entire new world, like 656 00:38:18,960 --> 00:38:23,719 Speaker 1: it's going to be actually from a lot of could 657 00:38:23,760 --> 00:38:25,800 Speaker 1: be a lot of creativity. I'm going to be a 658 00:38:25,880 --> 00:38:30,239 Speaker 1: dried out husk that blows away with yeah, with a 659 00:38:30,280 --> 00:38:36,120 Speaker 1: pirate hat on. I do want people to uh it's 660 00:38:36,160 --> 00:38:39,680 Speaker 1: a nice man, yeah, at a whimsy to my tragic 661 00:38:39,719 --> 00:38:42,399 Speaker 1: heat death. Yeah no, but there's a lot of money 662 00:38:42,480 --> 00:38:44,919 Speaker 1: to be made. Actually, I mean, think about the infrastructure 663 00:38:44,960 --> 00:38:47,560 Speaker 1: that we built this country on, right, the railroads and 664 00:38:47,600 --> 00:38:49,719 Speaker 1: all of that. We have to rebuild it, which is 665 00:38:49,719 --> 00:38:51,799 Speaker 1: going to create a lot of money. So when Wall 666 00:38:51,800 --> 00:38:54,560 Speaker 1: Street is like, oh, these three huggy people, no, no, dudes, 667 00:38:55,160 --> 00:38:57,279 Speaker 1: there's a lot of money to be built in this right. 668 00:38:57,360 --> 00:38:59,000 Speaker 1: But I guess you're like, but we're we have way 669 00:38:59,040 --> 00:39:02,279 Speaker 1: too much momentum going from the old way we do it, Like, 670 00:39:02,480 --> 00:39:04,440 Speaker 1: that's kind of a stretch. Now we've got to give 671 00:39:04,480 --> 00:39:07,279 Speaker 1: up the fossil fields and improve our grid that can 672 00:39:07,320 --> 00:39:10,600 Speaker 1: barely handle any kind of new clean energy revolution. I mean, 673 00:39:10,680 --> 00:39:14,719 Speaker 1: it's just so much to spend money on. But yeah, 674 00:39:15,040 --> 00:39:17,920 Speaker 1: that's a huge task and would create a lot of jobs. 675 00:39:18,000 --> 00:39:20,560 Speaker 1: Is we have to modernize the grid in this country 676 00:39:20,560 --> 00:39:24,400 Speaker 1: to even have any meaningful conversation about how clean energy 677 00:39:24,480 --> 00:39:28,439 Speaker 1: is going to be part of our climate change solutions. Yeah, 678 00:39:28,560 --> 00:39:31,520 Speaker 1: tell him, tell him Penny about the grid. Yeah, Penny 679 00:39:31,520 --> 00:39:37,080 Speaker 1: didn't like that. Last point? Is fine? Real quick. So 680 00:39:37,280 --> 00:39:40,200 Speaker 1: I have a in depth understanding of the debt ceiling. 681 00:39:40,239 --> 00:39:42,320 Speaker 1: You mentioned that and like I'm kind of an expert 682 00:39:42,320 --> 00:39:44,759 Speaker 1: on it, but would you mind just for the listeners, 683 00:39:45,120 --> 00:39:47,319 Speaker 1: giving like kind of an overview of your of your 684 00:39:47,760 --> 00:39:52,200 Speaker 1: thoughts on on that whole debate, because I actually don't 685 00:39:52,200 --> 00:39:57,680 Speaker 1: know shit about it, but between you and me, just 686 00:39:57,719 --> 00:40:00,080 Speaker 1: between us girls, I don't I don't even know to 687 00:40:00,160 --> 00:40:03,400 Speaker 1: death ceiling is, but it does. The way we've covered 688 00:40:03,440 --> 00:40:07,920 Speaker 1: it is mostly like it seems kind of like arbitrary 689 00:40:07,960 --> 00:40:11,040 Speaker 1: thing that one party starts complaining about when the other 690 00:40:11,080 --> 00:40:15,240 Speaker 1: party's empower to try and funk up the economy while 691 00:40:15,280 --> 00:40:19,120 Speaker 1: while they have power, and like I get that there 692 00:40:19,160 --> 00:40:25,400 Speaker 1: are actual financial dynamics at work and like eventually, you know, 693 00:40:25,960 --> 00:40:28,200 Speaker 1: debtors have to be paid. But at the same time, 694 00:40:28,200 --> 00:40:31,080 Speaker 1: like I feel like it works off of this idea 695 00:40:31,239 --> 00:40:35,640 Speaker 1: of well, the US government is just another individual that 696 00:40:35,840 --> 00:40:38,960 Speaker 1: we should think of as like a financial like a 697 00:40:39,000 --> 00:40:42,759 Speaker 1: company or a person. And it's actually like, no, they 698 00:40:42,800 --> 00:40:45,799 Speaker 1: are the like they can print money, Like that's a 699 00:40:45,880 --> 00:40:48,799 Speaker 1: that's a pretty big difference between them and us. But 700 00:40:49,200 --> 00:40:52,319 Speaker 1: is there anything drastically wrong? But I just said there 701 00:40:52,960 --> 00:40:55,360 Speaker 1: Now I would like to have a money printing machine 702 00:40:55,520 --> 00:40:58,279 Speaker 1: as well. So the debt ceiling is the name for 703 00:40:58,320 --> 00:41:01,480 Speaker 1: the maximum amount of money, uh, the government is allowed 704 00:41:01,480 --> 00:41:03,880 Speaker 1: to borrow to pay their bills. So right now, the 705 00:41:03,920 --> 00:41:09,959 Speaker 1: debt ceiling is twenty eight point for trillion dollars casual, right, 706 00:41:10,640 --> 00:41:15,080 Speaker 1: so you might be thinking that's plenty of money, but no, 707 00:41:15,360 --> 00:41:19,600 Speaker 1: the debt is over twenty eight point for three trillion dollars. 708 00:41:19,680 --> 00:41:27,319 Speaker 1: So I lift up those couche cushions. Right, So the 709 00:41:27,400 --> 00:41:31,799 Speaker 1: national debt is a couple billion dollars higher than what 710 00:41:31,960 --> 00:41:37,120 Speaker 1: the government is allowed to borrow. So in situations like this, 711 00:41:37,880 --> 00:41:41,200 Speaker 1: you would raise the debt ceiling or for the government, 712 00:41:41,280 --> 00:41:43,600 Speaker 1: you know what, let's just borrow a little bit more 713 00:41:43,719 --> 00:41:46,799 Speaker 1: so we can pay what we owe or print that money. 714 00:41:46,840 --> 00:41:50,760 Speaker 1: But if the government can't decide, there is the deadline looming, guys, 715 00:41:50,960 --> 00:41:56,200 Speaker 1: I think it's December three, do you hear Penny, she's 716 00:41:56,280 --> 00:41:59,360 Speaker 1: very excited about this the government. If they can't decide 717 00:41:59,800 --> 00:42:03,439 Speaker 1: about the dead ceiling, that would bring the conversations onto 718 00:42:03,480 --> 00:42:07,040 Speaker 1: next year's budget to a halt. So if the budget 719 00:42:07,160 --> 00:42:11,319 Speaker 1: isn't agreed upon, then some federal services can't operate, and 720 00:42:11,360 --> 00:42:15,640 Speaker 1: then America goes into government shutdown. So government shutdown could 721 00:42:15,640 --> 00:42:19,200 Speaker 1: mean delays or pauses in Social Security payments, which are 722 00:42:19,239 --> 00:42:23,960 Speaker 1: really important to a lot of people, child tax credit payments, veterans, benefits, 723 00:42:24,320 --> 00:42:27,600 Speaker 1: you know, funding for folks affected by natural disasters, as 724 00:42:27,600 --> 00:42:33,200 Speaker 1: we talked about, nutrition programs for kids, paychecks for federal employees, 725 00:42:33,280 --> 00:42:35,880 Speaker 1: like all the things. You know, you can't go to 726 00:42:36,400 --> 00:42:39,640 Speaker 1: national parks or you can't go to the passport agency, 727 00:42:39,719 --> 00:42:43,479 Speaker 1: like all the government programs won't exist. So it doesn't 728 00:42:43,520 --> 00:42:46,800 Speaker 1: mean it's a complete shutdown. You know, there are essential 729 00:42:46,880 --> 00:42:50,320 Speaker 1: things like border control or air traffic controller, law enforcement, 730 00:42:50,520 --> 00:42:53,360 Speaker 1: but a lot of those employees don't get paid actually 731 00:42:53,440 --> 00:42:56,960 Speaker 1: until the shutdown is lifted. Cool cool, cool cool, Yeah, 732 00:42:57,040 --> 00:42:59,719 Speaker 1: all right, yeah, and it's all it's always good for 733 00:43:00,040 --> 00:43:02,600 Speaker 1: someone to default on their debts too, you know, like 734 00:43:02,719 --> 00:43:07,040 Speaker 1: that's the bringing the credit score down and then it 735 00:43:07,120 --> 00:43:10,319 Speaker 1: costs more jobs. And yeah, it's just a it's just 736 00:43:10,440 --> 00:43:13,239 Speaker 1: total chaos. But that's what's makes that's what makes it 737 00:43:13,320 --> 00:43:17,640 Speaker 1: so just just so stupid, because the debt is accumulated 738 00:43:17,760 --> 00:43:21,040 Speaker 1: under presidents of both parties, you know, and it's something 739 00:43:21,080 --> 00:43:23,800 Speaker 1: that they constantly have to do. But to suddenly act 740 00:43:23,880 --> 00:43:27,359 Speaker 1: like I don't know, Joe Biden, blah blah blah, it's like, well, 741 00:43:27,480 --> 00:43:31,200 Speaker 1: now you're completely mischaracterizing what's happening for the sake of 742 00:43:31,280 --> 00:43:34,960 Speaker 1: just like winning these cynical you know, rhetorical points for 743 00:43:35,000 --> 00:43:37,920 Speaker 1: a campaign. Well it wasn't just now. I mean remember 744 00:43:37,960 --> 00:43:40,520 Speaker 1: two thousand and eighteen, that was the longest government shut 745 00:43:40,520 --> 00:43:43,280 Speaker 1: down in history under Trump, it was thirty five days. 746 00:43:43,440 --> 00:43:46,640 Speaker 1: We don't want to go back there again. You know, one, 747 00:43:46,920 --> 00:43:49,919 Speaker 1: nobody wants to be working for free. And so if 748 00:43:50,000 --> 00:43:52,880 Speaker 1: the United States could actually default on its loans for 749 00:43:52,920 --> 00:43:56,080 Speaker 1: the first time, that creates a whole other cascade of issues, 750 00:43:56,280 --> 00:44:01,160 Speaker 1: you know, the stock market, the global economy. Yeah, important things, alright, 751 00:44:01,239 --> 00:44:04,480 Speaker 1: stake Yeah, I've heard of both those things. They must 752 00:44:04,520 --> 00:44:09,799 Speaker 1: be important. Stock market and the global economy. Damn. All right, 753 00:44:09,920 --> 00:44:11,799 Speaker 1: let's take a quick break and we'll come back and 754 00:44:11,840 --> 00:44:26,319 Speaker 1: talk about some bullshit. And we're back, and it's time 755 00:44:26,400 --> 00:44:31,160 Speaker 1: to talk about something called tall zoom energy, which is 756 00:44:31,800 --> 00:44:34,960 Speaker 1: a phenomenon that people are coming into contact with after 757 00:44:35,520 --> 00:44:38,800 Speaker 1: you know, working remote for a long time and then 758 00:44:39,120 --> 00:44:42,759 Speaker 1: seeing their coworkers in person for the first time or 759 00:44:42,880 --> 00:44:44,480 Speaker 1: just for the first time in a in a while 760 00:44:44,560 --> 00:44:49,440 Speaker 1: and haven't forgotten how tall they are, and realizing, wow, 761 00:44:49,480 --> 00:44:52,200 Speaker 1: you know, you your energy is more that of a 762 00:44:52,520 --> 00:44:55,680 Speaker 1: like six five person or more that of a five 763 00:44:55,760 --> 00:45:00,640 Speaker 1: eight person, and you are either way taller or way shorter. Um, 764 00:45:00,680 --> 00:45:04,800 Speaker 1: I expected, Yeah, it's I mean, this is apparently happening 765 00:45:04,880 --> 00:45:07,719 Speaker 1: a lot as many people go from just seeing you 766 00:45:07,840 --> 00:45:12,040 Speaker 1: on zoom too in physical space and more just like that. 767 00:45:12,120 --> 00:45:14,200 Speaker 1: It's also kind of like a lot of people like 768 00:45:14,280 --> 00:45:17,000 Speaker 1: kind of a weird backhanded compliment or can be a 769 00:45:17,040 --> 00:45:20,440 Speaker 1: compliment in other situations, but um, this in this article, 770 00:45:20,480 --> 00:45:22,000 Speaker 1: they talked to a few different people who are just 771 00:45:22,000 --> 00:45:24,359 Speaker 1: sort of talking about like the things that they went through. 772 00:45:24,400 --> 00:45:28,040 Speaker 1: One person who was working remotely ran into like one 773 00:45:28,080 --> 00:45:31,200 Speaker 1: of their like senior people from their company on a flight, 774 00:45:31,800 --> 00:45:34,880 Speaker 1: and the person was like shorter than they were, and 775 00:45:34,920 --> 00:45:36,800 Speaker 1: like this woman was like, I'm shut but I couldn't 776 00:45:36,800 --> 00:45:40,200 Speaker 1: believe that, Like this person was shorter than me. She says, quote, 777 00:45:40,200 --> 00:45:42,440 Speaker 1: I'm short, so I just kind of expect everyone to 778 00:45:42,480 --> 00:45:44,520 Speaker 1: be taller than me. I think at some level you 779 00:45:44,520 --> 00:45:46,600 Speaker 1: expect people who are higher up than you in the 780 00:45:46,640 --> 00:45:50,160 Speaker 1: company to be taller than you too. Decay, and it's 781 00:45:50,239 --> 00:45:52,840 Speaker 1: very limited thinking, But I think that's just some bizarre 782 00:45:52,880 --> 00:45:55,920 Speaker 1: way humans thing probably born out of like evolutionary ship. 783 00:45:56,480 --> 00:45:59,920 Speaker 1: But the presidents are usually tall, right, And on this flight, 784 00:46:00,360 --> 00:46:02,359 Speaker 1: she was like she was like, I have to know 785 00:46:02,480 --> 00:46:05,520 Speaker 1: everything about all the coworkers heights. Now this like for 786 00:46:05,560 --> 00:46:08,279 Speaker 1: this specific employee. They were like, they said quote, I 787 00:46:08,320 --> 00:46:11,080 Speaker 1: was like, I can't be surprised like this again, they said, 788 00:46:11,120 --> 00:46:12,759 Speaker 1: we had our five hour flight back to d C 789 00:46:12,920 --> 00:46:15,279 Speaker 1: together so we could really run through the full list 790 00:46:15,360 --> 00:46:19,319 Speaker 1: of everyone. Now what I mean, does she need some 791 00:46:19,400 --> 00:46:22,640 Speaker 1: work to do? Because I have some I could offer. 792 00:46:23,440 --> 00:46:26,239 Speaker 1: Hold on, you want to know what how height? What's 793 00:46:26,520 --> 00:46:29,239 Speaker 1: we work on those CPS reports real quick. But this 794 00:46:29,280 --> 00:46:31,520 Speaker 1: whole thing is like you know a lot of people, 795 00:46:31,640 --> 00:46:35,400 Speaker 1: when you let someone know like you're just OMG shocked 796 00:46:35,480 --> 00:46:37,880 Speaker 1: that they are shorter or tallerant. That can be taken 797 00:46:38,000 --> 00:46:39,960 Speaker 1: in a lot of different ways. Like I was saying, 798 00:46:40,600 --> 00:46:42,920 Speaker 1: if you're you know, if you're like, oh god, I 799 00:46:42,920 --> 00:46:44,600 Speaker 1: thought you'd be tallerant, Like, so what are you trying 800 00:46:44,640 --> 00:46:46,520 Speaker 1: to say about my height? And also what are you 801 00:46:46,560 --> 00:46:49,600 Speaker 1: saying that my height being what it is? What? What? 802 00:46:49,719 --> 00:46:51,680 Speaker 1: How does that affect anything for you? It sounds like 803 00:46:51,719 --> 00:46:56,479 Speaker 1: there's no good way to to make that statement, because 804 00:46:56,520 --> 00:47:00,640 Speaker 1: if you think I'm taller than I actually am based 805 00:47:00,680 --> 00:47:04,239 Speaker 1: on zoom, then that's like I'm well that is how 806 00:47:04,280 --> 00:47:06,120 Speaker 1: tall I'm so I'm stuck there. And if you think 807 00:47:06,160 --> 00:47:09,480 Speaker 1: I'm shorter than I turn out to be, then it's 808 00:47:09,520 --> 00:47:12,399 Speaker 1: like I give off the energy of like I give 809 00:47:12,440 --> 00:47:17,640 Speaker 1: off small energy. Yeah, so should we guess all of 810 00:47:17,680 --> 00:47:19,879 Speaker 1: each other's heights? Well, this is an interesting thing, right. 811 00:47:20,000 --> 00:47:23,959 Speaker 1: This researcher said that people actually have a really good 812 00:47:24,000 --> 00:47:28,160 Speaker 1: ability to clock someone's height just from a photograph. Like, 813 00:47:28,200 --> 00:47:30,480 Speaker 1: it's just a weird thing. I just like they're like, 814 00:47:30,520 --> 00:47:32,719 Speaker 1: I know, it seems odd what they can do it. 815 00:47:32,800 --> 00:47:34,560 Speaker 1: I just want to read this one tidbit before we 816 00:47:34,680 --> 00:47:37,319 Speaker 1: do try this exercise. A few years ago, they did 817 00:47:37,320 --> 00:47:40,040 Speaker 1: a study where they showed participants photos of people's faces 818 00:47:40,400 --> 00:47:42,360 Speaker 1: and asked them to guess the heights of the people 819 00:47:42,400 --> 00:47:45,480 Speaker 1: in the photos. Quote, we found a really high correspondence 820 00:47:45,520 --> 00:47:48,160 Speaker 1: between people's ability to tell how tall the people actually were. 821 00:47:48,560 --> 00:47:52,319 Speaker 1: The judgments are within an inch. This is just from 822 00:47:52,320 --> 00:47:56,759 Speaker 1: a black and white photo picture of someone's face. So 823 00:47:56,960 --> 00:48:00,359 Speaker 1: this is but this I think doesn't take away from 824 00:48:00,360 --> 00:48:02,680 Speaker 1: the tall zoom energy, and in fact, I think it 825 00:48:02,760 --> 00:48:05,600 Speaker 1: lends credence to it, because, first of all, like anybody 826 00:48:05,600 --> 00:48:08,919 Speaker 1: who has ever like watched a movie and then found 827 00:48:08,960 --> 00:48:11,600 Speaker 1: out how tall the movie star actually is knows that 828 00:48:11,719 --> 00:48:15,080 Speaker 1: this is a thing, right that like you just expect 829 00:48:15,120 --> 00:48:17,480 Speaker 1: people to be a different size than they actually are. 830 00:48:18,000 --> 00:48:21,920 Speaker 1: And I think like it's easier with a black and 831 00:48:21,920 --> 00:48:27,919 Speaker 1: white picture, a snapshot of a stranger. You, Right, We're 832 00:48:27,920 --> 00:48:32,000 Speaker 1: apparently able to just like get that, like bring that in. 833 00:48:32,120 --> 00:48:34,239 Speaker 1: But if you're meeting with them for hours a day 834 00:48:34,800 --> 00:48:37,960 Speaker 1: or just you're on a podcast with them, you start 835 00:48:38,000 --> 00:48:43,160 Speaker 1: getting like takeaways and like you start getting basically moved 836 00:48:43,200 --> 00:48:46,520 Speaker 1: away from the truth that you would have gotten from 837 00:48:46,600 --> 00:48:51,920 Speaker 1: a single momentary like black and white snapshot. So it 838 00:48:51,960 --> 00:48:56,440 Speaker 1: does seem like there is an energetic thing that is 839 00:48:56,600 --> 00:49:00,920 Speaker 1: hard to define, but that is real, you know. So look, Nicole, 840 00:49:00,960 --> 00:49:04,440 Speaker 1: you got you have a few context clues. Okay, go ahead, 841 00:49:04,680 --> 00:49:08,400 Speaker 1: enter your your answer for how tight I just set 842 00:49:08,480 --> 00:49:17,240 Speaker 1: up my had a frame. Sorry, I gotta make myself 843 00:49:17,320 --> 00:49:20,680 Speaker 1: so dang small for these rooms that the normans have 844 00:49:20,800 --> 00:49:23,640 Speaker 1: to operate. And how tall do you think Jack and 845 00:49:23,719 --> 00:49:26,200 Speaker 1: I are? Are you going to guess how I am? Yeah, 846 00:49:26,280 --> 00:49:28,520 Speaker 1: we'll go and then you you say, and we will 847 00:49:28,560 --> 00:49:30,640 Speaker 1: not react to what you say, and then we will 848 00:49:30,680 --> 00:49:32,400 Speaker 1: then give our answers back to you, and then we'll 849 00:49:32,440 --> 00:49:34,319 Speaker 1: say that I'm gonna burst into tears. I can tell 850 00:49:34,320 --> 00:49:36,760 Speaker 1: you that right away. Okay, then maybe we'll get Nicole's first. 851 00:49:36,760 --> 00:49:40,600 Speaker 1: That way, Jack doesn't give it away by bursting into tears. Nicole, 852 00:49:41,680 --> 00:49:47,440 Speaker 1: I believe you are between five seven or five nine. Um, 853 00:49:47,600 --> 00:49:57,200 Speaker 1: I was gonna go like six seven six three. I 854 00:49:57,239 --> 00:50:01,680 Speaker 1: was gonna go five seven stick. I've actually gotten that 855 00:50:01,760 --> 00:50:05,279 Speaker 1: a lot. When I see people I r L and 856 00:50:05,320 --> 00:50:08,680 Speaker 1: they've seen me on air or something, they say that 857 00:50:08,760 --> 00:50:14,600 Speaker 1: I'm I look taller on air, So I'm five four okay, Okay, yeah, 858 00:50:14,680 --> 00:50:18,319 Speaker 1: there it is. Maybe I have that tall. You got 859 00:50:18,360 --> 00:50:20,719 Speaker 1: that right at that between five seven and five nine 860 00:50:20,840 --> 00:50:24,759 Speaker 1: energy and a cool I don't know what it is 861 00:50:24,800 --> 00:50:28,520 Speaker 1: about you, but you get that's now. Okay, Now you go, 862 00:50:28,600 --> 00:50:29,920 Speaker 1: what do you think? How tall do you think Jack 863 00:50:29,960 --> 00:50:33,239 Speaker 1: and I are? Well, it's your all show, and I'm 864 00:50:33,280 --> 00:50:36,640 Speaker 1: just gonna come and I just do like you guys 865 00:50:36,640 --> 00:50:41,000 Speaker 1: are both six ft tall. That's the right that's the 866 00:50:41,080 --> 00:50:44,480 Speaker 1: right answer, that's the safe, right answer. But if you 867 00:50:44,520 --> 00:50:52,759 Speaker 1: want my honest, honest answer, yeah, Miles your five ten, yes, 868 00:50:53,320 --> 00:50:58,160 Speaker 1: and I want to hear Jack and Jack you're If 869 00:50:58,160 --> 00:51:00,560 Speaker 1: I say, like one of you guys taller, then it's 870 00:51:00,600 --> 00:51:03,640 Speaker 1: gonna be no. I look, we're not our toxic masculinity 871 00:51:03,680 --> 00:51:08,880 Speaker 1: comes out in very odd ways not understood. So Jack, 872 00:51:09,000 --> 00:51:15,600 Speaker 1: you're six Ah yeah, okay, okay, that that makes sense. 873 00:51:15,960 --> 00:51:20,320 Speaker 1: I'm gonna hold my tears in. This is so humiliating. 874 00:51:22,440 --> 00:51:26,080 Speaker 1: Miles is six to Miles is six too. And also 875 00:51:26,760 --> 00:51:32,480 Speaker 1: I always forget how tall he is when I when 876 00:51:32,640 --> 00:51:36,760 Speaker 1: I've been like yeah, and then I see, I'm like, wow, 877 00:51:37,560 --> 00:51:39,439 Speaker 1: he's a he's a strung six two and I'm five 878 00:51:39,440 --> 00:51:43,920 Speaker 1: ft three. No, that's not true. I'm six ft between 879 00:51:43,960 --> 00:51:47,400 Speaker 1: six ft and six ft one. So you really nailed Yeah. 880 00:51:48,120 --> 00:51:50,040 Speaker 1: Well I was gonna say yeah, I was gonna say 881 00:51:50,040 --> 00:51:54,240 Speaker 1: six across the board. Yeah no, even though you're like diplomatic, 882 00:51:54,320 --> 00:51:58,640 Speaker 1: like let me protect their fragile feelings, answer ended up 883 00:51:58,680 --> 00:52:02,040 Speaker 1: being right. So I appreciate it. But this whole thing, though, 884 00:52:02,080 --> 00:52:04,560 Speaker 1: it's interesting. In this other article, they talked about how 885 00:52:05,600 --> 00:52:09,000 Speaker 1: people who are really tall or really short actually appreciate 886 00:52:09,360 --> 00:52:13,239 Speaker 1: the mystery that zoom provides because it completely takes out 887 00:52:13,280 --> 00:52:17,080 Speaker 1: the oh wow, you're really tall, taller you, taller you, 888 00:52:17,520 --> 00:52:20,520 Speaker 1: or oh you're so short, oh you're so tiny, you know, 889 00:52:20,600 --> 00:52:22,400 Speaker 1: like that kind of ship. A lot of people like 890 00:52:22,719 --> 00:52:25,920 Speaker 1: in that sense, this sort of vague you know, uh, 891 00:52:26,040 --> 00:52:29,439 Speaker 1: sort of a nebulous concept of height that's given through 892 00:52:29,520 --> 00:52:32,600 Speaker 1: zoom actually has been an upside for these people. Like 893 00:52:32,640 --> 00:52:35,440 Speaker 1: this one woman who's a teacher was like a lot 894 00:52:35,480 --> 00:52:37,359 Speaker 1: of my teacher and a lot of my students they 895 00:52:37,360 --> 00:52:39,799 Speaker 1: don't know in five ten and so they just think 896 00:52:39,840 --> 00:52:41,920 Speaker 1: I'm the teacher or whatever, and like she's like, in 897 00:52:42,000 --> 00:52:43,400 Speaker 1: my mind, she's like I love it because she's like, 898 00:52:43,400 --> 00:52:46,120 Speaker 1: wait till you see me in the classroom if you 899 00:52:46,120 --> 00:52:48,040 Speaker 1: guys are talking like that, because I'm gonna tower over 900 00:52:48,080 --> 00:52:51,319 Speaker 1: your little kids. Well, you know what. I read an 901 00:52:51,400 --> 00:52:57,120 Speaker 1: article about how the zoom world has helped pregnant women 902 00:52:57,239 --> 00:53:00,560 Speaker 1: get raises more than they had before because you can't 903 00:53:00,560 --> 00:53:04,040 Speaker 1: see if somebody is pregnant, and so there's this idea 904 00:53:04,320 --> 00:53:10,680 Speaker 1: that once you're visibly pregnant, you know, consciously or subconsciously, 905 00:53:10,800 --> 00:53:13,040 Speaker 1: an employer things like you're going to take time off 906 00:53:13,440 --> 00:53:15,480 Speaker 1: or you know whatever, it might not want to invest 907 00:53:15,520 --> 00:53:19,399 Speaker 1: in you. But you can't see that either. Yeah, it's 908 00:53:19,440 --> 00:53:21,680 Speaker 1: just so funny. How many you know, whether it's like 909 00:53:21,920 --> 00:53:25,640 Speaker 1: zoom camera fatigue is like another thing that people experience, 910 00:53:25,840 --> 00:53:29,719 Speaker 1: or zoom based like body dysmorphia from like having to 911 00:53:29,800 --> 00:53:33,280 Speaker 1: stare at our faces for hours that has like plagued people. 912 00:53:33,320 --> 00:53:35,960 Speaker 1: Are you staring at yourself right now? Or no? No, no, 913 00:53:36,080 --> 00:53:38,839 Speaker 1: I might. I tracked my eyes pretty constantly. But there 914 00:53:38,840 --> 00:53:41,080 Speaker 1: are other times too where you'll I'll see myself and 915 00:53:41,080 --> 00:53:44,480 Speaker 1: then I'm like, you know, and like then it's like, 916 00:53:44,520 --> 00:53:47,040 Speaker 1: what the fun is this? Like this isn't northing used 917 00:53:47,080 --> 00:53:48,960 Speaker 1: to just being in a room looking at other people 918 00:53:49,000 --> 00:53:52,560 Speaker 1: without like in set screen of like what my face 919 00:53:52,680 --> 00:53:55,040 Speaker 1: is actively doing. So yeah, I mean it's just it's 920 00:53:56,000 --> 00:53:59,600 Speaker 1: this new era has given us all new ailments to 921 00:53:59,680 --> 00:54:02,560 Speaker 1: Now you usually do in person, keep a makeup mirror 922 00:54:02,640 --> 00:54:04,560 Speaker 1: going for most of the meetings just so I can 923 00:54:04,640 --> 00:54:07,920 Speaker 1: kind of have a quick quick I can. Yeah, and 924 00:54:07,960 --> 00:54:10,440 Speaker 1: the but but the magnified side because you like you 925 00:54:10,520 --> 00:54:12,480 Speaker 1: like you want to check your pores out and ship 926 00:54:12,920 --> 00:54:16,799 Speaker 1: do you bring a ring light? I don't always bring 927 00:54:16,800 --> 00:54:22,400 Speaker 1: a ring light, and that is on me. Yeah, opportunity. Alright, 928 00:54:22,640 --> 00:54:27,480 Speaker 1: let's talk about Google's new candy Halloween candy graphic, which 929 00:54:28,400 --> 00:54:32,000 Speaker 1: is bullshit as far as I can tell. Like last week, 930 00:54:32,080 --> 00:54:35,040 Speaker 1: we we talked about that map that looked at the 931 00:54:35,160 --> 00:54:37,560 Speaker 1: unique searches of candy and fifty states, or they try 932 00:54:37,600 --> 00:54:41,839 Speaker 1: to determine which candy was each quote unquote states favorite. Well, 933 00:54:41,880 --> 00:54:46,880 Speaker 1: Google just said, y'all on control the fucking data. Step aside, 934 00:54:47,239 --> 00:54:50,160 Speaker 1: and let us tell you what is the most searched candy. 935 00:54:50,280 --> 00:54:53,040 Speaker 1: And they said, look at this map, And they said, 936 00:54:53,080 --> 00:54:55,399 Speaker 1: I don't know why you're debating over fifty candies because 937 00:54:55,480 --> 00:54:58,120 Speaker 1: if you look at the most searched candies by state, 938 00:54:58,440 --> 00:55:03,359 Speaker 1: there are only two Eminem's and candy corn. If you're 939 00:55:03,360 --> 00:55:06,120 Speaker 1: going by what is getting the most, like that's just it. 940 00:55:06,600 --> 00:55:08,960 Speaker 1: Those are the highest searched candies, like that edge out 941 00:55:09,000 --> 00:55:13,120 Speaker 1: all the other ones. There was no variation, which is 942 00:55:13,160 --> 00:55:17,440 Speaker 1: really freaking me out. And where are the starbirths. They're not, 943 00:55:17,480 --> 00:55:19,799 Speaker 1: they're not, they're not They're definitely not reaching the height 944 00:55:19,840 --> 00:55:22,120 Speaker 1: of most searched candy. They're just saying, if you want 945 00:55:22,160 --> 00:55:24,719 Speaker 1: to say what the most searched candy in this period is, 946 00:55:24,760 --> 00:55:31,920 Speaker 1: in California, it's candy corn, or if it's Alaska, it's Eminem's, Wyoming, Eminem's. 947 00:55:32,120 --> 00:55:36,000 Speaker 1: Pretty much everywhere else is fucking candy corn. And this 948 00:55:36,000 --> 00:55:38,759 Speaker 1: this map, it's like it's more terrifying to look at 949 00:55:38,760 --> 00:55:42,560 Speaker 1: than the electoral map in when of my candy corn 950 00:55:42,640 --> 00:55:46,000 Speaker 1: has swept the nation? Or why do we think talking? 951 00:55:46,120 --> 00:55:49,319 Speaker 1: I think this is the best evidence we have that 952 00:55:50,280 --> 00:55:54,320 Speaker 1: because we are now because so much of our diet 953 00:55:54,400 --> 00:55:57,160 Speaker 1: is actually made up of corn in America, that like 954 00:55:57,239 --> 00:56:00,239 Speaker 1: corn has colonized our minds, and like we are now 955 00:56:00,360 --> 00:56:04,200 Speaker 1: just corn aliens who are doing the bidding of corn. 956 00:56:04,200 --> 00:56:09,080 Speaker 1: Because this makes no fucking sense whatsoever unless we've been 957 00:56:09,520 --> 00:56:12,440 Speaker 1: we have like a parasite that is telling us to 958 00:56:12,840 --> 00:56:16,040 Speaker 1: only only care about corn. I mean, on some level, 959 00:56:16,120 --> 00:56:19,720 Speaker 1: is it's showing that word despite the all the regional 960 00:56:19,800 --> 00:56:23,720 Speaker 1: things you think, It's like, deep down we're just these 961 00:56:23,880 --> 00:56:27,360 Speaker 1: corn based Americans no matter how you cut it, we 962 00:56:27,840 --> 00:56:31,040 Speaker 1: only think two candies exist or people just are searching 963 00:56:31,200 --> 00:56:36,000 Speaker 1: very specifically for two candies. I'm just trying to think 964 00:56:36,040 --> 00:56:39,960 Speaker 1: what would bring me to google candy corn? Candy corny 965 00:56:40,480 --> 00:56:46,080 Speaker 1: like candy corn. He dislike it. I've got a real 966 00:56:46,160 --> 00:56:52,080 Speaker 1: sweet too, candy corn content. It's just wax sweetness, That's 967 00:56:52,080 --> 00:56:54,160 Speaker 1: what it is. It's like, what if you like little 968 00:56:54,200 --> 00:56:57,360 Speaker 1: if you always wanted to eat a candle, this is 969 00:56:57,400 --> 00:57:00,800 Speaker 1: your chance. Oh you guys didn't see the fine print. 970 00:57:01,000 --> 00:57:07,200 Speaker 1: You see the small asterisks brought to you by Eminem. 971 00:57:07,320 --> 00:57:09,800 Speaker 1: We got to do something, folks. Candy corn is taking 972 00:57:09,800 --> 00:57:12,359 Speaker 1: the nation over. We gotta fight back, Patriots. And it's 973 00:57:12,400 --> 00:57:14,520 Speaker 1: like such a straw man thing, like they pick the 974 00:57:14,560 --> 00:57:18,400 Speaker 1: worst candy. Like everybody likes candy corn and not Eminem's. 975 00:57:18,480 --> 00:57:21,280 Speaker 1: I don't know, you guys, America, you're letting us. You 976 00:57:21,480 --> 00:57:24,400 Speaker 1: call the green Eminem's gonna be out of the job soon. 977 00:57:24,720 --> 00:57:27,800 Speaker 1: It's it's getting that buzz, that hype. Yeah, if it's 978 00:57:27,800 --> 00:57:30,160 Speaker 1: almost sold out, then folks think it's gonna be cool 979 00:57:30,200 --> 00:57:31,560 Speaker 1: and they're gonna go get it. I mean, I think 980 00:57:31,560 --> 00:57:34,280 Speaker 1: I I wonder if people search it, because also people 981 00:57:34,400 --> 00:57:36,080 Speaker 1: search it because they hate it and they're like, dude, 982 00:57:36,080 --> 00:57:38,560 Speaker 1: what's candy corn even made of? You know, because I 983 00:57:38,680 --> 00:57:42,480 Speaker 1: have this pattern I fall into every nearly every Halloween 984 00:57:42,600 --> 00:57:44,720 Speaker 1: where I will try a piece of candy corn, like 985 00:57:44,800 --> 00:57:46,600 Speaker 1: as if like I were a kid, being like this 986 00:57:46,680 --> 00:57:48,880 Speaker 1: is the year I will like, you know, Brussels sprouts, 987 00:57:48,960 --> 00:57:50,480 Speaker 1: like this is the year I would like candy corn 988 00:57:50,600 --> 00:57:54,400 Speaker 1: every time the hell I hate it. I'm disgusted by myself, 989 00:57:54,880 --> 00:57:57,560 Speaker 1: and but then I also search I am also like 990 00:57:57,640 --> 00:58:00,200 Speaker 1: weirdly interested in it. Like I found out that used 991 00:58:00,240 --> 00:58:02,560 Speaker 1: to call it chicken feet before they called it candy 992 00:58:02,600 --> 00:58:05,560 Speaker 1: corn in some places, So I was like, what the 993 00:58:05,760 --> 00:58:09,200 Speaker 1: funk is going with all this stuff? So I don't know. 994 00:58:09,920 --> 00:58:11,680 Speaker 1: I think we can search for the right and the 995 00:58:11,720 --> 00:58:17,160 Speaker 1: wrong reasons. Yeah, because it's not specifying if you're buying it, 996 00:58:17,240 --> 00:58:21,440 Speaker 1: you're just questions about it, Like I have questions also 997 00:58:21,480 --> 00:58:26,520 Speaker 1: about M and M's two. Yeah, like how many colors 998 00:58:26,560 --> 00:58:33,040 Speaker 1: are there right now? You know it's been around for 999 00:58:33,120 --> 00:58:36,600 Speaker 1: over a hundred years. Candy corn. Oh good lord, I 1000 00:58:36,600 --> 00:58:40,080 Speaker 1: mean that makes sense. It's like the candy that they 1001 00:58:40,320 --> 00:58:42,680 Speaker 1: came up with before they realized they could make it good. 1002 00:58:42,960 --> 00:58:46,000 Speaker 1: It's like the neco wafers and like ship like the 1003 00:58:46,040 --> 00:58:49,800 Speaker 1: dots that are just like sugar in various shapes and 1004 00:58:49,840 --> 00:58:53,680 Speaker 1: forms and colors. I mean, you know, I I wonder 1005 00:58:53,720 --> 00:58:55,840 Speaker 1: if this is one of the things keeping us back 1006 00:58:55,880 --> 00:58:59,000 Speaker 1: from progress in the country. You know that we haven't 1007 00:58:59,520 --> 00:59:02,000 Speaker 1: done away with candy corn. Like so much of our 1008 00:59:02,040 --> 00:59:06,240 Speaker 1: what ailes our societally is our clinging to candy corn 1009 00:59:06,320 --> 00:59:11,400 Speaker 1: still when it offers us nothing. It offers us absolutely nothing. Guys, Yeah, 1010 00:59:11,680 --> 00:59:17,919 Speaker 1: just searched candy corn dog, sure answer do not feed 1011 00:59:17,960 --> 00:59:21,840 Speaker 1: the pups at the candy corn. Really, I'm pretty sure 1012 00:59:21,880 --> 00:59:28,120 Speaker 1: that's true of children and human adults too, Like, oh, 1013 00:59:28,120 --> 00:59:32,560 Speaker 1: it's because it has zila tall in it. Interesting, Okay, 1014 00:59:32,760 --> 00:59:34,960 Speaker 1: they say zilatol. It's it's in the candy corn. Not 1015 00:59:34,960 --> 00:59:37,160 Speaker 1: good for dogs, all right, candy corn dollars. I want 1016 00:59:37,160 --> 00:59:40,040 Speaker 1: to know the next word after candy corn that people 1017 00:59:40,120 --> 00:59:45,680 Speaker 1: search right, candy corn just right, digestion, diarrhea, you know, 1018 00:59:45,800 --> 00:59:50,040 Speaker 1: like candy corn, white supremacy. You know, that's kind of 1019 00:59:50,040 --> 00:59:52,680 Speaker 1: what I'm looking at. Again, I'm like looking at something 1020 00:59:52,760 --> 00:59:55,360 Speaker 1: just I don't know. It just doesn't make it makes sense, America. 1021 00:59:55,480 --> 00:59:57,720 Speaker 1: Make it makes sense because it's I know, we don't 1022 00:59:57,760 --> 00:59:59,960 Speaker 1: like it. Then the other map that they did was 1023 01:00:00,080 --> 01:00:04,120 Speaker 1: also interesting. They were looking up uniquely searched Halloween drinks 1024 01:00:04,240 --> 01:00:07,560 Speaker 1: by state, and this is like one that I like 1025 01:00:07,680 --> 01:00:11,800 Speaker 1: because it's actually a bit more specific, like regionally, where 1026 01:00:12,280 --> 01:00:15,880 Speaker 1: in Texas they're searching for the penny Wise cocktail. If 1027 01:00:15,880 --> 01:00:20,120 Speaker 1: you live in New York, it's Halloween jungle juice. In California, 1028 01:00:20,600 --> 01:00:25,560 Speaker 1: brain hemorrhage shot. I mean, these are guests, spooky things 1029 01:00:25,600 --> 01:00:27,960 Speaker 1: to serve. But I like that ours has like the 1030 01:00:28,080 --> 01:00:32,200 Speaker 1: most just gross fucked up like idea of it all, 1031 01:00:32,240 --> 01:00:34,120 Speaker 1: like other ones. A lot of people search for blood 1032 01:00:34,120 --> 01:00:38,600 Speaker 1: bag cocktails because I guess that's a big fun party drink. 1033 01:00:39,080 --> 01:00:42,959 Speaker 1: But yeah, there's just a very interesting sort of mix 1034 01:00:43,040 --> 01:00:46,200 Speaker 1: of things wrong with people. Yeah, there's a lot of 1035 01:00:46,240 --> 01:00:50,640 Speaker 1: like you know, Harry Potter by of half blood prince cocktail. 1036 01:00:51,800 --> 01:00:55,640 Speaker 1: I'm sorry they're allowing bloody mary as a as a 1037 01:00:55,680 --> 01:00:57,960 Speaker 1: Halloween drink. I guess, I guess it is. I've never 1038 01:00:58,000 --> 01:01:01,400 Speaker 1: really thought about that, but yeah, that is a Yeah, 1039 01:01:01,480 --> 01:01:05,560 Speaker 1: who looks so blood Tennessee, Virginia and Tennessee. I mean 1040 01:01:05,600 --> 01:01:08,200 Speaker 1: that's that's the one that makes sense to me. But 1041 01:01:08,320 --> 01:01:12,080 Speaker 1: I mean, which is Bruce seems right? Yeah, yeah, that 1042 01:01:12,200 --> 01:01:15,840 Speaker 1: that fits. But I didn't realize that in Kansas, like 1043 01:01:16,040 --> 01:01:19,240 Speaker 1: they're big on Harry Potter, Like that's the one where 1044 01:01:19,240 --> 01:01:22,720 Speaker 1: half blood prince cocktail is and then South Dakota is 1045 01:01:22,760 --> 01:01:27,160 Speaker 1: the other. I guess cool j k rowing cocktail based 1046 01:01:27,200 --> 01:01:31,600 Speaker 1: searches with butter beer. But that's my question, Google trends, 1047 01:01:32,600 --> 01:01:36,800 Speaker 1: how do you know that what these people are searching 1048 01:01:37,000 --> 01:01:39,640 Speaker 1: is for the drink version? What is there are a 1049 01:01:39,640 --> 01:01:43,640 Speaker 1: bunch of crazy killers with the brain hemorrhad shot. Yeah, 1050 01:01:43,960 --> 01:01:46,640 Speaker 1: what if this is a whole other thing. How to 1051 01:01:46,720 --> 01:01:49,240 Speaker 1: get how to get someone with a brain hemorrhate shot? 1052 01:01:51,880 --> 01:01:53,600 Speaker 1: How to shoot someone and make it look like a 1053 01:01:53,640 --> 01:01:57,960 Speaker 1: brain hemorrhage. Jello shots are just like like really like 1054 01:01:58,600 --> 01:02:02,400 Speaker 1: bad nurses, like shift, They're like, I mean, fucking Arizona 1055 01:02:02,520 --> 01:02:05,800 Speaker 1: is black widow? That is a deadly spider that is 1056 01:02:06,040 --> 01:02:12,160 Speaker 1: endemic to the state of Arizona. Like Miles nicely, let's out. Yeah, yeah, 1057 01:02:12,280 --> 01:02:14,800 Speaker 1: oh no, a black widow. I mean if it's in, 1058 01:02:14,960 --> 01:02:18,080 Speaker 1: if it's in the building, that's one thing. Yeah, But 1059 01:02:18,120 --> 01:02:20,800 Speaker 1: like regular ones, you know, I will, I will, I 1060 01:02:20,840 --> 01:02:24,600 Speaker 1: will escort them out very kindly. Vampires kiss in Louisiana. 1061 01:02:24,600 --> 01:02:26,360 Speaker 1: I mean that just might be what what you're looking 1062 01:02:26,360 --> 01:02:29,920 Speaker 1: for on any given night. You know, a BlackBerry, lime juice, agave, 1063 01:02:29,920 --> 01:02:32,760 Speaker 1: a nectar, basil leaves. That's I guess what is in 1064 01:02:32,840 --> 01:02:36,560 Speaker 1: a black widow? But I don't know. Anyways, all hail 1065 01:02:36,760 --> 01:02:41,400 Speaker 1: our Lord and Savior, Corn. It has been a pleasure 1066 01:02:41,560 --> 01:02:44,959 Speaker 1: having you on the daily Zeitgeist. Where can people find 1067 01:02:45,000 --> 01:02:48,240 Speaker 1: you and follow you? You can find me at Nicole Lapin. 1068 01:02:48,400 --> 01:02:53,160 Speaker 1: Wherever social media is served, you can listen daily to 1069 01:02:53,480 --> 01:02:56,400 Speaker 1: Money Rehab, you know where to find it, wherever you 1070 01:02:56,400 --> 01:03:00,320 Speaker 1: find your favorite podcast, And is there a tweet or 1071 01:03:00,400 --> 01:03:03,000 Speaker 1: some of the work of social media you've been enjoying. 1072 01:03:03,600 --> 01:03:07,840 Speaker 1: I have been enjoying. While we were talking about the 1073 01:03:07,960 --> 01:03:11,520 Speaker 1: debt ceiling, I was thinking about one that I loved, 1074 01:03:12,120 --> 01:03:15,480 Speaker 1: asking the government if they had the audacity to give 1075 01:03:15,680 --> 01:03:22,320 Speaker 1: us a credit score? Right, yeah, they are all in debt. Yeah, 1076 01:03:21,080 --> 01:03:24,520 Speaker 1: m m m m hmmm. There you go, Miles. Where 1077 01:03:24,520 --> 01:03:27,400 Speaker 1: can people find you? What the tweet you've been enjoying? Twitter? Instagram, 1078 01:03:27,480 --> 01:03:30,680 Speaker 1: Miles of Gray. Also, if you like y fiance, check 1079 01:03:30,720 --> 01:03:33,560 Speaker 1: out the other show for twenty Day Fiance with Sophia 1080 01:03:33,600 --> 01:03:36,360 Speaker 1: Alexandra and I were, you know, just a couple of 1081 01:03:36,400 --> 01:03:39,520 Speaker 1: immigrant kids watching this show being like kiss this, but 1082 01:03:39,600 --> 01:03:42,000 Speaker 1: we love it. It's trash, So come back for that 1083 01:03:42,000 --> 01:03:45,280 Speaker 1: Twitch dot tv slash for twenty Day Fiance. Tweet that 1084 01:03:45,720 --> 01:03:48,160 Speaker 1: I like, there's a couple. Since we were just talking 1085 01:03:48,200 --> 01:03:52,400 Speaker 1: about these weird cocktail recipes, Willie at Willie Staley tweeted 1086 01:03:52,920 --> 01:03:55,480 Speaker 1: envy the younger generation that completely missed out on the 1087 01:03:55,600 --> 01:03:59,200 Speaker 1: bespoke cocktail revolution of a decade ago and knows it 1088 01:03:59,280 --> 01:04:02,400 Speaker 1: only from Joe the jokes were all real. There were 1089 01:04:02,440 --> 01:04:05,160 Speaker 1: really guys and suspenders who took ten minutes to make 1090 01:04:05,200 --> 01:04:09,880 Speaker 1: a drink and they had mustaches. That's all true. That 1091 01:04:10,280 --> 01:04:12,200 Speaker 1: was the only way you could drink a drink. I 1092 01:04:12,240 --> 01:04:14,800 Speaker 1: feel like on Melrose at a certain point. Another one 1093 01:04:15,160 --> 01:04:18,320 Speaker 1: which I really loved is from Jess Tom at Jess 1094 01:04:18,360 --> 01:04:21,240 Speaker 1: Tom to white people think all Asians come from either 1095 01:04:21,320 --> 01:04:24,680 Speaker 1: Japan or China, which is ridiculous because as an Asian American, 1096 01:04:24,840 --> 01:04:27,160 Speaker 1: I know all Asians come from either nor Cal or 1097 01:04:27,240 --> 01:04:30,680 Speaker 1: so Cal. Uh and that just hit me right in 1098 01:04:30,720 --> 01:04:35,520 Speaker 1: my so call Asian heart. So shout out to that tweet. Yeah, 1099 01:04:35,560 --> 01:04:37,880 Speaker 1: you can find me on Twitter at Jack Underscore Brian. 1100 01:04:38,400 --> 01:04:41,400 Speaker 1: A couple of tweets have been enjoying. Aaron McGuire Olson 1101 01:04:41,560 --> 01:04:44,720 Speaker 1: tweeted the challenge I'm doing this month that's called October 1102 01:04:44,840 --> 01:04:46,680 Speaker 1: and it's where I just try to get through every 1103 01:04:46,760 --> 01:04:52,280 Speaker 1: day of October. And then Jimmy at Jimmy Infa tweeted 1104 01:04:52,480 --> 01:04:55,360 Speaker 1: you're in his d MS. I'm not. I don't want 1105 01:04:55,400 --> 01:04:57,600 Speaker 1: to talk to him, and I like that as the 1106 01:04:57,680 --> 01:05:01,480 Speaker 1: one loves that construction. Yeah, uh, you can find us 1107 01:05:01,520 --> 01:05:04,200 Speaker 1: on Twitter at Daily Zeitgeist. We're at the Daily Zeegeist 1108 01:05:04,280 --> 01:05:06,440 Speaker 1: on Instagram. We have a Facebook fan page on a 1109 01:05:06,480 --> 01:05:08,960 Speaker 1: website Daily zi geist dot com where we post our 1110 01:05:09,000 --> 01:05:12,000 Speaker 1: episodes and our foot notes where we link off to 1111 01:05:12,000 --> 01:05:15,040 Speaker 1: the information that we talked about in today's episode, as 1112 01:05:15,080 --> 01:05:18,880 Speaker 1: well as a song that we think you might enjoy. Miles, 1113 01:05:18,880 --> 01:05:20,600 Speaker 1: what song are we sending people to go to? This 1114 01:05:20,920 --> 01:05:24,720 Speaker 1: is uh again, we're talking about breaking genres. This is 1115 01:05:24,760 --> 01:05:28,160 Speaker 1: like an R and B future track. If it's like 1116 01:05:28,200 --> 01:05:30,440 Speaker 1: as if someone was like trying to make R and 1117 01:05:30,560 --> 01:05:32,480 Speaker 1: sample based R and B like in the Ashes of 1118 01:05:32,560 --> 01:05:35,040 Speaker 1: an Apocalypse and all the how was scratched off th'angelo 1119 01:05:35,120 --> 01:05:38,440 Speaker 1: CD to take samples from. This is called Shovel by 1120 01:05:38,440 --> 01:05:42,080 Speaker 1: an artist called Fred Wave and for the t'angelo fans 1121 01:05:42,120 --> 01:05:44,080 Speaker 1: of the album moo do. I say that because there's 1122 01:05:44,120 --> 01:05:49,000 Speaker 1: a really spooky sample of the track Spanish joint that's 1123 01:05:49,000 --> 01:05:51,560 Speaker 1: being used throughout the track and a very like, I 1124 01:05:51,600 --> 01:05:53,880 Speaker 1: don't know, very spooky way. That's the only way I 1125 01:05:53,880 --> 01:05:55,960 Speaker 1: can describe it. So check this out. This is Shovel 1126 01:05:56,280 --> 01:05:59,200 Speaker 1: by Fred Wade. All right, well, the Daily ze guys 1127 01:05:59,240 --> 01:06:02,440 Speaker 1: the production by Radio. For more podcasts for my Heart Radio, 1128 01:06:02,520 --> 01:06:05,600 Speaker 1: visit the I Heart Radio app Apple podcast or wherever 1129 01:06:05,840 --> 01:06:09,040 Speaker 1: fine podcasts are given away for free. That is going 1130 01:06:09,120 --> 01:06:11,920 Speaker 1: to do it for us this morning. But we're back 1131 01:06:11,960 --> 01:06:14,440 Speaker 1: this afternoon to tell you what's trending, and we'll talk 1132 01:06:14,480 --> 01:06:16,280 Speaker 1: to you all then. Bye. Lie,