1 00:00:00,200 --> 00:00:03,040 Speaker 1: Hello the Internet, and welcome to season sixty two, Episode 2 00:00:03,040 --> 00:00:06,480 Speaker 1: five of JO Dailies Eights Geist yea, the podcast where 3 00:00:06,480 --> 00:00:10,120 Speaker 1: we take a deep dive into America's shared consciousness using 4 00:00:10,160 --> 00:00:13,840 Speaker 1: the headlines, box office reports, TV ratings, what's trending on 5 00:00:13,960 --> 00:00:18,040 Speaker 1: bogs and social media. It's Friday, December twenty one, two 6 00:00:18,040 --> 00:00:21,640 Speaker 1: thousand eight. Team, my name is Jack O'Brien, a dashing 7 00:00:21,680 --> 00:00:26,600 Speaker 1: through the trend in a second rate podcast. Jack O'Brien 8 00:00:26,800 --> 00:00:31,040 Speaker 1: saying his a K is all right with co host 9 00:00:31,120 --> 00:00:36,200 Speaker 1: Miles Gray, superproducer Hosnie. What fun it is to get 10 00:00:36,280 --> 00:00:40,839 Speaker 1: hot takes from Zack Gang every night night. Yeah rhymes, 11 00:00:41,479 --> 00:00:46,560 Speaker 1: that's courtesy of Rich Jefferson. Check your r No man, 12 00:00:46,640 --> 00:00:50,919 Speaker 1: that was great, uh And I'm thrilled to be joined 13 00:00:50,920 --> 00:00:56,160 Speaker 1: by today's special guest co host. She is sometimes known 14 00:00:56,200 --> 00:01:01,120 Speaker 1: as Lil Zam, the hacker who codes this, Jamie ak 15 00:01:01,680 --> 00:01:06,440 Speaker 1: childish samboni aka and I'm not as sold on this one. 16 00:01:06,680 --> 00:01:13,160 Speaker 1: Jamie is so horny, Okay, alright, yeah not Edgar. Well, 17 00:01:13,480 --> 00:01:15,880 Speaker 1: we're thrilled to have you, Jamie, thanks for thanks for 18 00:01:15,959 --> 00:01:19,759 Speaker 1: joining us, and we are also thrilled to be joined 19 00:01:19,840 --> 00:01:23,280 Speaker 1: in our third and fourth seats by the hosts of 20 00:01:23,360 --> 00:01:26,560 Speaker 1: Daniel and Jorge Explain the Universe or Hey, cham and 21 00:01:26,680 --> 00:01:30,720 Speaker 1: Daniel Whiteson. What's up? Guys? Hey, thanks for having Hey, 22 00:01:30,800 --> 00:01:33,600 Speaker 1: it's great to have you guys here. Welcome to Are 23 00:01:33,640 --> 00:01:37,360 Speaker 1: we supposed to have having silly, slightly inappropriate nicknames? Also, no, 24 00:01:37,680 --> 00:01:39,720 Speaker 1: unless you have some at the top of your hid, 25 00:01:40,040 --> 00:01:42,040 Speaker 1: you know, and then we want to hear them. Yeah, 26 00:01:42,240 --> 00:01:44,880 Speaker 1: let's hear it. I thought you guys were gonna make 27 00:01:45,880 --> 00:01:51,800 Speaker 1: Oh no, Unfortunately, I just go through my Twitter mentions 28 00:01:51,840 --> 00:01:54,880 Speaker 1: and find the latest ak as you could probably hear 29 00:01:55,200 --> 00:01:58,240 Speaker 1: from the quality of my a K. We're taking, you know, 30 00:01:58,320 --> 00:02:04,800 Speaker 1: we're taking free labor and criticizing it. Uh. Well, guys, 31 00:02:05,200 --> 00:02:06,760 Speaker 1: we're gonna get to know you a little bit better 32 00:02:06,760 --> 00:02:09,239 Speaker 1: in a moment. First, we're gonna tell our listeners a 33 00:02:09,280 --> 00:02:11,360 Speaker 1: few of the things we're talking about today. We're talking 34 00:02:11,360 --> 00:02:16,040 Speaker 1: about Michelle Obama's Balenciaga Thai high boots. We're gonna talk 35 00:02:16,120 --> 00:02:21,240 Speaker 1: about Michael Rappaport just weighing in where his weight is 36 00:02:21,280 --> 00:02:25,600 Speaker 1: not needed. Yeah, we're gonna talk about the Dow following 37 00:02:25,600 --> 00:02:31,360 Speaker 1: fifty points, Trump using the holiday and people not paying 38 00:02:31,400 --> 00:02:33,720 Speaker 1: as much attention to the news to offload a bunch 39 00:02:33,760 --> 00:02:37,800 Speaker 1: of things that seem to indicate he'scluding with Russia. Maybe 40 00:02:37,960 --> 00:02:41,720 Speaker 1: we'll see We're gonna talk about the vanity fair look 41 00:02:41,960 --> 00:02:46,960 Speaker 1: at the culture at Georgetown Prep where we got a 42 00:02:46,960 --> 00:02:53,320 Speaker 1: brief glimpse of that back with with Kavanaugh and his homies. 43 00:02:53,760 --> 00:02:58,560 Speaker 1: P J p J squee I mean I'm referencing that 44 00:02:58,639 --> 00:03:02,280 Speaker 1: just from that demon's version, right, No, I think his 45 00:03:02,360 --> 00:03:05,720 Speaker 1: name was squee Yes Sue. He's like Squeeze squeet on 46 00:03:05,800 --> 00:03:12,440 Speaker 1: us angrily defending the honor of somebody named squee Squeeze 47 00:03:12,480 --> 00:03:18,000 Speaker 1: House sound effects. We're gonna talk about some products that 48 00:03:18,040 --> 00:03:21,960 Speaker 1: are going away in twenty nineteen, uh, that are going 49 00:03:22,000 --> 00:03:27,080 Speaker 1: to devastate you. But first, guys, what is something from 50 00:03:27,160 --> 00:03:30,800 Speaker 1: your search histories that's revealing about who you are? Well? 51 00:03:31,240 --> 00:03:34,079 Speaker 1: I recently had to search is it safe to pick 52 00:03:34,160 --> 00:03:37,520 Speaker 1: up feathers? For this project that I'm writing for? Is 53 00:03:37,560 --> 00:03:41,880 Speaker 1: it safe to pick up others like feathers, feathers like 54 00:03:41,920 --> 00:03:46,320 Speaker 1: the birds? Okay? Is it? Well? We were concerned that 55 00:03:46,440 --> 00:03:49,320 Speaker 1: maybe we didn't want to encourage kids to pick up feathers, 56 00:03:49,720 --> 00:03:52,040 Speaker 1: but it turns out that it is. According to the Internet, 57 00:03:52,040 --> 00:03:54,560 Speaker 1: it's safe to pick up feathers. Yeah, but you shouldn't 58 00:03:54,560 --> 00:03:59,360 Speaker 1: put that however, got it? Yeah, Hold on, guys, I 59 00:03:59,720 --> 00:04:01,600 Speaker 1: need a couple of minutes to take all the feathers 60 00:04:01,600 --> 00:04:06,800 Speaker 1: out of my mouth. One second, had a whole pillow 61 00:04:06,800 --> 00:04:10,760 Speaker 1: for breakfast. Are you talking mostly about like feathers on 62 00:04:10,800 --> 00:04:13,880 Speaker 1: the street, like pigeon feathers or what are we talking here? 63 00:04:13,920 --> 00:04:15,960 Speaker 1: I wouldn't pick up a street feather. Yeah, Like if 64 00:04:15,960 --> 00:04:18,120 Speaker 1: you're on hiking and you see and your kids sees 65 00:04:18,120 --> 00:04:20,880 Speaker 1: a feather, is it safe for them to pick it up? Right? Okay? Yeah, 66 00:04:21,080 --> 00:04:24,560 Speaker 1: out hiking? Yeah, and in Times Square totally, I can 67 00:04:24,640 --> 00:04:30,080 Speaker 1: relate with hiking culture side culture, right. Jamie is in 68 00:04:30,120 --> 00:04:33,200 Speaker 1: no way a hacker who coach I'm the hiker, the 69 00:04:33,279 --> 00:04:37,560 Speaker 1: hiker who he smells fresh air. Anything in Times Square, 70 00:04:37,600 --> 00:04:42,320 Speaker 1: don't pick it up, Okay, don't put it in your nose, Daniel, 71 00:04:42,320 --> 00:04:45,960 Speaker 1: anything you've been searching lately. Yeah. So Jorge and I 72 00:04:46,040 --> 00:04:48,279 Speaker 1: did this podcast where we try to explain the universe, 73 00:04:48,320 --> 00:04:50,080 Speaker 1: and I'm supposed to be the expert on the show, 74 00:04:50,080 --> 00:04:51,680 Speaker 1: which means I'm supposed to be able to like answer 75 00:04:51,720 --> 00:04:54,480 Speaker 1: whatever question he throws at me. Um, But sometimes the 76 00:04:54,560 --> 00:04:57,240 Speaker 1: topics are a bit far afield from my actual expertise. So, 77 00:04:57,279 --> 00:04:59,920 Speaker 1: for example, last week we did an episode on string theories. 78 00:05:00,520 --> 00:05:05,760 Speaker 1: My top stirts that week was what is string theory? Nice? Uh? 79 00:05:05,920 --> 00:05:09,159 Speaker 1: So you you dove deep, you went in, you went deep? 80 00:05:10,440 --> 00:05:13,240 Speaker 1: I got Google, I got Wikipedia? What else do you 81 00:05:13,279 --> 00:05:15,200 Speaker 1: need to be an expert these days on some deep 82 00:05:15,240 --> 00:05:18,360 Speaker 1: scientific topic? Is it the theory about how like if 83 00:05:18,400 --> 00:05:22,320 Speaker 1: you have chords in a drawer they immediately get tangled 84 00:05:22,360 --> 00:05:25,919 Speaker 1: into like a thousand knots? Is that? No, it's a 85 00:05:25,960 --> 00:05:28,320 Speaker 1: theory that maybe the whole universe is made out of crochet. 86 00:05:28,800 --> 00:05:33,360 Speaker 1: Oh ship, well, I always suspected theory of the universe, right, 87 00:05:33,680 --> 00:05:39,880 Speaker 1: what technically include what's in your drawer? So huh that's true? Yeah? Yeah. 88 00:05:39,880 --> 00:05:43,280 Speaker 1: I tried to read string theory back when I was 89 00:05:43,360 --> 00:05:47,279 Speaker 1: like maybe I'm a smart person in my twenties, and uh, 90 00:05:47,720 --> 00:05:51,640 Speaker 1: it just it seemed way too I don't know. I couldn't. 91 00:05:51,640 --> 00:05:53,920 Speaker 1: I couldn't get any of it. It was like one 92 00:05:53,920 --> 00:05:56,839 Speaker 1: of those things that I couldn't even if Stephen Hawking 93 00:05:56,960 --> 00:05:59,760 Speaker 1: was like, Okay, for a dumb person, here's how you 94 00:06:00,000 --> 00:06:02,559 Speaker 1: would explain this. I don't think I would have gotten 95 00:06:02,560 --> 00:06:06,520 Speaker 1: a string theory seems very confusing. Yeah, theory is confusing. 96 00:06:06,560 --> 00:06:08,680 Speaker 1: It's also beautiful though, but you should check out that 97 00:06:08,680 --> 00:06:11,599 Speaker 1: episode of our podcast. Maybe it'll makes sense to you. Okay, okay, 98 00:06:11,920 --> 00:06:14,360 Speaker 1: hey or hey, what is something you think is underrated? 99 00:06:15,240 --> 00:06:19,919 Speaker 1: I think that forgetting your phone is underrated getting so 100 00:06:19,960 --> 00:06:21,960 Speaker 1: it's something I think people we all stress out about, 101 00:06:22,040 --> 00:06:24,159 Speaker 1: but when it actually happens, I think you'll find that 102 00:06:24,240 --> 00:06:26,279 Speaker 1: your life is actually a little bit better if you 103 00:06:26,360 --> 00:06:29,440 Speaker 1: forget your phone. Yeah, I totally agree. I love being 104 00:06:29,480 --> 00:06:31,760 Speaker 1: off the grid and knowing that someone is mad at me, 105 00:06:31,839 --> 00:06:35,400 Speaker 1: but not knowing who, not being able to do anything, 106 00:06:35,400 --> 00:06:37,480 Speaker 1: so it's just like a vague weight on your chest, 107 00:06:37,680 --> 00:06:41,120 Speaker 1: but not like a full on like sometimes it's exciting 108 00:06:41,120 --> 00:06:45,760 Speaker 1: because you're like, it could be anyone. Yeah no, I 109 00:06:45,760 --> 00:06:48,400 Speaker 1: I agree, though. It's it's nice to have the freedom 110 00:06:48,480 --> 00:06:52,680 Speaker 1: to be bored and let your mind wander. Yeah no. Yeah, 111 00:06:52,680 --> 00:06:54,960 Speaker 1: And you think that maybe you'll get into an emergency 112 00:06:54,960 --> 00:06:56,640 Speaker 1: where you need to make a phone call, but really 113 00:06:56,640 --> 00:06:59,080 Speaker 1: it just forces you to like talk to other humans 114 00:06:59,279 --> 00:07:01,240 Speaker 1: or going to a door and after the phone, so 115 00:07:01,480 --> 00:07:04,200 Speaker 1: it's not that big a deal. I probably injured myself 116 00:07:04,240 --> 00:07:07,159 Speaker 1: and eat ship less if I did not have my 117 00:07:07,200 --> 00:07:09,480 Speaker 1: phone with me at all times, if you weren't always 118 00:07:09,560 --> 00:07:12,480 Speaker 1: going around on a Lime scooter with your phone two 119 00:07:12,480 --> 00:07:15,760 Speaker 1: inches from your nose, just tweeting. I got cat called 120 00:07:15,800 --> 00:07:20,160 Speaker 1: on the line. I know, I saw that on Twitter. Actually, now, 121 00:07:20,240 --> 00:07:24,040 Speaker 1: you were on the lime scooter or no, I was. 122 00:07:24,400 --> 00:07:28,160 Speaker 1: I was. You're walking. Somebody was on a Lime scooter 123 00:07:28,320 --> 00:07:31,840 Speaker 1: passing me at approximately the same speed as I. Right, 124 00:07:32,120 --> 00:07:34,480 Speaker 1: So it's not like he was like some teenager on 125 00:07:34,520 --> 00:07:36,320 Speaker 1: a Lime scooter because you don't need a license to 126 00:07:36,400 --> 00:07:38,920 Speaker 1: ride it, and he was just like, you're beautiful, and 127 00:07:38,960 --> 00:07:43,200 Speaker 1: then kept riding really slowly to his grandma's house. It 128 00:07:43,280 --> 00:07:45,800 Speaker 1: was just right there. It was wild. I get get. 129 00:07:46,200 --> 00:07:49,200 Speaker 1: You should actually walk somewhere under your own power, right, Yeah. 130 00:07:49,480 --> 00:07:52,640 Speaker 1: I mean I could have done a light jog and 131 00:07:52,720 --> 00:07:57,280 Speaker 1: scalded him, but that would have been pretty funny. Daniel, 132 00:07:57,280 --> 00:07:59,560 Speaker 1: What is something you think is underrated? That's something I 133 00:07:59,560 --> 00:08:03,560 Speaker 1: think is a rated is canceling trips. And you've got 134 00:08:03,560 --> 00:08:05,960 Speaker 1: a trip planned and you just sort of dreading it 135 00:08:06,040 --> 00:08:08,840 Speaker 1: and then you can just say no and decide not 136 00:08:08,920 --> 00:08:11,640 Speaker 1: to go, and there's this enormous wait. It's like, I 137 00:08:11,680 --> 00:08:14,640 Speaker 1: have several open days that can actually live my life. 138 00:08:14,680 --> 00:08:16,760 Speaker 1: And not have to go out and interact with all 139 00:08:16,760 --> 00:08:20,280 Speaker 1: those humans. Yeah. I think canceling trips is vastly underrated. 140 00:08:20,360 --> 00:08:23,160 Speaker 1: Sometimes I think about just making trip plans so that 141 00:08:23,240 --> 00:08:28,520 Speaker 1: I can cancel them later. Yeah. It's sort of like, 142 00:08:28,560 --> 00:08:30,920 Speaker 1: you know, hitting yourself on the head of the hammer 143 00:08:30,920 --> 00:08:38,920 Speaker 1: and then stopping the sweet release of letting someone else down. Yes. Um, 144 00:08:39,040 --> 00:08:43,080 Speaker 1: and you have children, Daniel, Is that right? I do. 145 00:08:43,240 --> 00:08:45,880 Speaker 1: I have a nine year old and an eleven year old. Okay, 146 00:08:45,960 --> 00:08:48,360 Speaker 1: so they're okay at travel by this point. Oh yeah, 147 00:08:48,400 --> 00:08:50,840 Speaker 1: Actually they make travel more fun. You know, they're actually 148 00:08:50,880 --> 00:08:53,280 Speaker 1: people now, you know, they like order their own food 149 00:08:53,280 --> 00:08:55,520 Speaker 1: in the airplane, they set up their own movies. They 150 00:08:55,520 --> 00:08:57,920 Speaker 1: can like talk to other humans that can handle themselves. 151 00:08:57,920 --> 00:09:01,719 Speaker 1: It's amazing. Children actually turn into people actually nice. They 152 00:09:01,720 --> 00:09:06,560 Speaker 1: can carry luggage, great, carry all your luggage for you. Um. 153 00:09:06,600 --> 00:09:09,720 Speaker 1: What is something, horror, hey, that you think is overrated? 154 00:09:10,520 --> 00:09:15,160 Speaker 1: I think sleep is overrated. Yeah. I try to avoid 155 00:09:15,200 --> 00:09:20,120 Speaker 1: as much as possible one of those as safely is allowable. Okay, 156 00:09:20,280 --> 00:09:23,040 Speaker 1: So how much how much sleep do you average on 157 00:09:23,080 --> 00:09:26,680 Speaker 1: a nightly basis? Would you say? Um, I don't average 158 00:09:26,679 --> 00:09:28,719 Speaker 1: a lot, maybe like four or five hours, But then 159 00:09:28,720 --> 00:09:30,679 Speaker 1: I catch up. I have to catch up on the weekends. 160 00:09:30,720 --> 00:09:33,760 Speaker 1: But generally speaking, I'm just not comfortable sleeping. I don't 161 00:09:33,760 --> 00:09:36,880 Speaker 1: know why. Huh, it's not I feel like I feel 162 00:09:36,880 --> 00:09:38,600 Speaker 1: like you sort of like you go into a coma 163 00:09:38,840 --> 00:09:40,760 Speaker 1: for a little bit, which is weird to me. Yeah, 164 00:09:40,760 --> 00:09:43,679 Speaker 1: it's very unproductive. I've found you don't get a lot 165 00:09:43,760 --> 00:09:46,880 Speaker 1: done when you're sleeping. But hey, you're the reason everyone 166 00:09:46,920 --> 00:09:53,280 Speaker 1: feels bad about themselves. You and the president. Yeah, no, hery, 167 00:09:53,280 --> 00:09:55,600 Speaker 1: that is something you have in common with Trump. Yeah, 168 00:09:56,080 --> 00:09:59,120 Speaker 1: does he sleep only four or five hours? Yeah, he's 169 00:09:59,120 --> 00:10:01,319 Speaker 1: always said he only it's like three to four hours 170 00:10:01,320 --> 00:10:05,600 Speaker 1: of sleep at night. That exhausting golf schedule, you know, right, Well, yeah, 171 00:10:05,600 --> 00:10:09,080 Speaker 1: if you're fully manic and never doing anything, I guess. Yeah, 172 00:10:09,120 --> 00:10:12,680 Speaker 1: there's actually a genetic thing that it sounds like, or hey, 173 00:10:12,720 --> 00:10:15,480 Speaker 1: you might have where you just don't need quite as 174 00:10:15,520 --> 00:10:19,440 Speaker 1: much sleep as other people. Oh really, Yeah, there's certain 175 00:10:19,480 --> 00:10:23,120 Speaker 1: people who only need like three or four hours of sleep. There, 176 00:10:23,320 --> 00:10:27,679 Speaker 1: hyper productive sleepers, Like when they sleep, they get all 177 00:10:27,720 --> 00:10:33,080 Speaker 1: the benefits that we get, just much quicker. Um. So yeah, 178 00:10:33,200 --> 00:10:38,880 Speaker 1: that makes me very mad at you. Jealous. I didn't 179 00:10:38,920 --> 00:10:41,480 Speaker 1: say I was protective with my waking hours, I just 180 00:10:42,080 --> 00:10:46,079 Speaker 1: write it's more time to consume content. I wish I 181 00:10:46,120 --> 00:10:50,760 Speaker 1: could consume more content every day. Daniel, what's something you 182 00:10:50,760 --> 00:10:55,000 Speaker 1: think is overrated? Something I think is overrated our Christmas cookies. 183 00:10:55,559 --> 00:10:58,000 Speaker 1: I mean, I love the season, I like holidays, but 184 00:10:58,040 --> 00:11:00,720 Speaker 1: in the end, Christmas cookies are usually just pointing. They're 185 00:11:00,760 --> 00:11:06,959 Speaker 1: just like sugar cookies with a mountain of frosting on top. Yuck. Alright, alright, 186 00:11:07,040 --> 00:11:12,520 Speaker 1: mr so Daniel, we're gonna let you continue on this show. 187 00:11:12,679 --> 00:11:21,600 Speaker 1: But just no, that's strike one, strike one more. Uh no, 188 00:11:21,800 --> 00:11:24,920 Speaker 1: we actually we just got to prove the health of 189 00:11:24,920 --> 00:11:27,640 Speaker 1: the population. People don't eat as many Christmas cookies. Horse's 190 00:11:27,640 --> 00:11:32,600 Speaker 1: telling people to stay up Laton Christmas cookies and lower joy. Yeah, 191 00:11:32,920 --> 00:11:36,240 Speaker 1: that's you guys are really out here. I like the 192 00:11:36,320 --> 00:11:39,800 Speaker 1: Christmas cookie, the Pillsbury one where it's like a roll 193 00:11:39,960 --> 00:11:43,520 Speaker 1: of cookies and you and put those and then they 194 00:11:43,520 --> 00:11:45,880 Speaker 1: all have like little Santa's on them. Yeah, and do 195 00:11:45,920 --> 00:11:48,720 Speaker 1: you put icing on them? Like? Sometimes I go, why 196 00:11:48,800 --> 00:11:51,240 Speaker 1: my my family uses a lot of dips, and not 197 00:11:51,280 --> 00:11:54,880 Speaker 1: all of them makes sense for the food we're having. Yeah, 198 00:11:55,720 --> 00:11:59,040 Speaker 1: maybe a salad dressing. Do you eat a whole roll 199 00:11:59,080 --> 00:12:01,560 Speaker 1: of Christmas cookies while on a line scooter on a 200 00:12:01,600 --> 00:12:04,319 Speaker 1: Lime scooter. Yes, yes, please don't look up a picture 201 00:12:04,360 --> 00:12:07,679 Speaker 1: of me. I'm more interested. And why what you think 202 00:12:07,720 --> 00:12:11,520 Speaker 1: that would look like? Um? Yeah, we actually just got 203 00:12:11,600 --> 00:12:14,679 Speaker 1: a basket of Christmas cookies that it seems like they 204 00:12:14,720 --> 00:12:19,040 Speaker 1: were I don't know, curated from different cookies that this 205 00:12:19,120 --> 00:12:22,400 Speaker 1: person has had because they're not all from the same manufacturer. 206 00:12:22,679 --> 00:12:27,480 Speaker 1: But they're all really really good. And so had I 207 00:12:27,559 --> 00:12:31,240 Speaker 1: not been gorging on amazing Christmas cookies for the past 208 00:12:31,240 --> 00:12:34,160 Speaker 1: twenty four hours, I might have agreed with you. But yeah, 209 00:12:34,200 --> 00:12:36,360 Speaker 1: I have to disagree on this one. I'm not going 210 00:12:36,400 --> 00:12:39,720 Speaker 1: to be like a new profession Christmas cookie curator, yeah 211 00:12:39,760 --> 00:12:45,160 Speaker 1: I think, well, yeah, like basket curator, gift basket style designer, Yeah, exactly. 212 00:12:45,600 --> 00:12:47,440 Speaker 1: And finally, rich do you have to be to hire 213 00:12:47,440 --> 00:12:53,880 Speaker 1: a Christmas cookie curator? You know, like, yeah, apparently very rich. Um, Jorgey, 214 00:12:53,880 --> 00:12:55,839 Speaker 1: what is a myth? What some of the people think 215 00:12:55,840 --> 00:12:58,840 Speaker 1: it's true? You know to be false? Well, thinking about 216 00:12:58,880 --> 00:13:01,439 Speaker 1: this and um, you on a cartoon is and when 217 00:13:01,520 --> 00:13:04,040 Speaker 1: Ala I tell people my cartoon is they go, oh man, 218 00:13:04,120 --> 00:13:07,000 Speaker 1: that's that's great. Um, you probably sit around in your 219 00:13:07,000 --> 00:13:10,200 Speaker 1: pajamas all day and do nothing, and I just mess 220 00:13:10,200 --> 00:13:12,440 Speaker 1: at the record straight. Yeah, I just want to set 221 00:13:12,440 --> 00:13:14,920 Speaker 1: the record straight. That's not true at all. You don't 222 00:13:14,920 --> 00:13:19,360 Speaker 1: even own pajamas. I don't even he doesn't sleep, it 223 00:13:19,360 --> 00:13:22,840 Speaker 1: doesn't have pajamas. He sits around naked all day drawing cartoons. 224 00:13:22,880 --> 00:13:25,760 Speaker 1: There you go. That's just interesting. That too much work 225 00:13:25,800 --> 00:13:29,120 Speaker 1: to put them on at night. Maybe that's because you're 226 00:13:29,160 --> 00:13:31,640 Speaker 1: tired from not sleeping at all. Well, you were joined. 227 00:13:32,400 --> 00:13:36,160 Speaker 1: Today's co host is also a cartoonist, is Jamie Loftus. 228 00:13:36,160 --> 00:13:40,120 Speaker 1: But I'm sort of always wearing some form of pajajamas, 229 00:13:40,600 --> 00:13:42,880 Speaker 1: so it's hard to say, but you're not wearing them 230 00:13:43,000 --> 00:13:45,520 Speaker 1: right now? Right? Uh no, I want me. I'm always 231 00:13:45,559 --> 00:13:49,959 Speaker 1: wearing some loose cloth so pajama adjacent. Yeah, it's the look. 232 00:13:50,000 --> 00:13:53,440 Speaker 1: It's loftist, cheek pajama sheet. Wearing a horrifying shirt today. 233 00:13:54,760 --> 00:13:57,880 Speaker 1: Jamie's wearing a shirt today that can I can I 234 00:13:57,960 --> 00:14:02,720 Speaker 1: describe your It's amazing it is so the cloth part, 235 00:14:03,200 --> 00:14:06,280 Speaker 1: like the background of the shirt is the matrix thing 236 00:14:06,440 --> 00:14:10,160 Speaker 1: like the ones in Zeros, the green ones and zeros 237 00:14:10,200 --> 00:14:14,480 Speaker 1: with black and then on the front it just says hysteria. 238 00:14:14,960 --> 00:14:19,720 Speaker 1: It's pretty red shout out. One really came through on this. 239 00:14:20,400 --> 00:14:22,840 Speaker 1: And Daniel, what is a myth from you? What's something 240 00:14:22,920 --> 00:14:25,560 Speaker 1: people think it's true you know to be false? Uh. 241 00:14:25,600 --> 00:14:28,400 Speaker 1: An important myth I want to debunk is that if 242 00:14:28,440 --> 00:14:31,560 Speaker 1: you are wearing a lab coat, you are necessarily an 243 00:14:31,560 --> 00:14:36,200 Speaker 1: evil character. I watched a lot of science fiction and 244 00:14:36,400 --> 00:14:39,280 Speaker 1: every single one there's some dude in a lab code 245 00:14:39,320 --> 00:14:42,040 Speaker 1: with plans to take over the world or develop some 246 00:14:42,200 --> 00:14:45,280 Speaker 1: technology that's going to destroy the planet, or some sort 247 00:14:45,280 --> 00:14:48,120 Speaker 1: of thing. These characters are always evil or malevolent, or 248 00:14:48,160 --> 00:14:51,800 Speaker 1: selfish or sort of like Jurassic Park, Hubris, you know, yeah, 249 00:14:52,040 --> 00:14:54,840 Speaker 1: Shape of Water. Are you saying that the myth is 250 00:14:54,880 --> 00:14:57,000 Speaker 1: that you need a lab coat to wear that to 251 00:14:57,080 --> 00:14:59,320 Speaker 1: be evil, or that if you wear a lab coat 252 00:14:59,360 --> 00:15:01,640 Speaker 1: you are evil. Putting on a lab code does not 253 00:15:01,720 --> 00:15:04,920 Speaker 1: necessarily transform you into a purely malevolent character. I mean, 254 00:15:04,920 --> 00:15:06,960 Speaker 1: I know you guys had Josh Clark on recently, and 255 00:15:07,000 --> 00:15:09,000 Speaker 1: he likes to talk about how the LHC might destroy 256 00:15:09,080 --> 00:15:11,200 Speaker 1: the world. But you know that's not where we're out for. 257 00:15:11,280 --> 00:15:13,440 Speaker 1: We're not out to kill people and swallow the earth 258 00:15:13,440 --> 00:15:16,080 Speaker 1: in a black hole just to see what would happen. 259 00:15:17,040 --> 00:15:20,840 Speaker 1: It's like something someone trying to swallow the earth into 260 00:15:20,920 --> 00:15:24,560 Speaker 1: a black hole would say, right, throw us off your scent. 261 00:15:25,440 --> 00:15:27,000 Speaker 1: I just want to create a black hole so I 262 00:15:27,000 --> 00:15:29,280 Speaker 1: can throw all the Christmas cookies in it the world. 263 00:15:29,920 --> 00:15:32,800 Speaker 1: I'm happy it stays around, get rid of all of them. 264 00:15:33,080 --> 00:15:34,840 Speaker 1: That would be a great like. I feel like that 265 00:15:34,880 --> 00:15:38,440 Speaker 1: would be a good piece of children's entertainment. Villain like 266 00:15:38,560 --> 00:15:42,880 Speaker 1: children's movie. He's like, I must destroy all the all 267 00:15:42,960 --> 00:15:46,160 Speaker 1: the Christmas. Well, I see, it's like the hyper specific Grinch, 268 00:15:46,280 --> 00:15:48,960 Speaker 1: Like I like Christmas except for this watering, except for 269 00:15:49,120 --> 00:15:53,440 Speaker 1: this type of cookies, this brand only. Alright, guys, well 270 00:15:53,520 --> 00:15:58,560 Speaker 1: let's get into what's happening today in the zeitgeist. We're 271 00:15:58,600 --> 00:16:02,520 Speaker 1: looking at Google trends in our first little batch here 272 00:16:02,600 --> 00:16:07,600 Speaker 1: and something that is trending ore Michelle Obama's Valenciaga thigh 273 00:16:07,640 --> 00:16:11,040 Speaker 1: high boots. They are metallic. They're incredible. There are four 274 00:16:11,080 --> 00:16:15,800 Speaker 1: thousand dollars and they're really pretty cool. Like I I 275 00:16:15,800 --> 00:16:18,680 Speaker 1: don't know, it's not clear what they're made of. They're 276 00:16:18,800 --> 00:16:24,440 Speaker 1: like a glowing sort of rainbow old golden, but they're 277 00:16:24,480 --> 00:16:27,080 Speaker 1: so beautiful. I mean, I think the whole her whole 278 00:16:27,120 --> 00:16:29,920 Speaker 1: outfit at this Was it like a promotional event for 279 00:16:29,960 --> 00:16:31,880 Speaker 1: her book or something. I think it was she was 280 00:16:31,920 --> 00:16:36,680 Speaker 1: being interviewed by Sarah Jessica Parker. Yes, there's a lot 281 00:16:36,720 --> 00:16:40,120 Speaker 1: of thoughts that go there. Yeah, I mean it's an 282 00:16:40,120 --> 00:16:42,320 Speaker 1: incredible look. This has been sort of the year of 283 00:16:42,400 --> 00:16:45,400 Speaker 1: THI High boots in a lot of ways, between this 284 00:16:45,560 --> 00:16:49,600 Speaker 1: and the Ariana Grande Lollipop pick alone. I mean, those 285 00:16:49,600 --> 00:16:52,400 Speaker 1: are some iconic THI high boots. Yeah. So it was 286 00:16:52,480 --> 00:16:54,680 Speaker 1: last year like THI High boots were just no go. 287 00:16:54,840 --> 00:16:57,200 Speaker 1: In this year they're all in. I'm having trouble keeping 288 00:16:57,280 --> 00:17:00,320 Speaker 1: up with the footwear trends. I feel like my can 289 00:17:00,440 --> 00:17:03,760 Speaker 1: better answer these questions than I can. However, I don't 290 00:17:03,760 --> 00:17:06,399 Speaker 1: think that it was like if you wear THI High boots, 291 00:17:06,400 --> 00:17:11,359 Speaker 1: your trash. But it's more of a gradual thing. But yeah, 292 00:17:11,400 --> 00:17:14,480 Speaker 1: the A List has been very into you know the 293 00:17:14,560 --> 00:17:18,520 Speaker 1: A List. Yeah, it's not something your typical pajama wearing 294 00:17:18,560 --> 00:17:20,960 Speaker 1: podcast host would wear. Do you have THI high boots 295 00:17:20,960 --> 00:17:23,320 Speaker 1: that would go well with your pajamas? No, I'm wearing 296 00:17:23,400 --> 00:17:30,919 Speaker 1: Sperries Um very comfy. The boots. I want to know 297 00:17:30,920 --> 00:17:34,840 Speaker 1: how she puts them on. Yeah. They they're very They 298 00:17:34,920 --> 00:17:38,159 Speaker 1: raise as many questions as they answer, but in a 299 00:17:38,200 --> 00:17:41,359 Speaker 1: good way. Secret Service. I mean, it's like three Secret 300 00:17:41,359 --> 00:17:44,440 Speaker 1: Service guys have to be there, and it's just there's 301 00:17:44,480 --> 00:17:49,119 Speaker 1: just a long zip in certain than zip. Yeah, but 302 00:17:49,320 --> 00:17:52,840 Speaker 1: what are they made of? Is it metal? Is it? 303 00:17:52,840 --> 00:17:55,800 Speaker 1: It looks like it's like a special effect from the 304 00:17:55,840 --> 00:18:01,240 Speaker 1: Aquaman film? Is what it looks like your cross for Yeah, 305 00:18:01,640 --> 00:18:04,760 Speaker 1: could easily be h. Maybe it's made out of meteorite 306 00:18:04,840 --> 00:18:08,760 Speaker 1: or something. Yeah. Well, on the other ends of for 307 00:18:08,840 --> 00:18:11,800 Speaker 1: the pair, yeah, four thousand dollars for the pair. For 308 00:18:11,840 --> 00:18:16,760 Speaker 1: the pair, okay not eat. Yes, I don't think shoes 309 00:18:16,800 --> 00:18:19,600 Speaker 1: are generally priced that way. It was the closing night 310 00:18:19,640 --> 00:18:21,720 Speaker 1: of her tour, so she's like, Okay, gott to bring 311 00:18:21,760 --> 00:18:26,240 Speaker 1: out some really And also I think that uh you know, uh, 312 00:18:27,119 --> 00:18:30,840 Speaker 1: Michelle was I would guess she and Sarah Jessica Parker 313 00:18:31,680 --> 00:18:35,800 Speaker 1: are the same age is I don't know, that's a 314 00:18:35,840 --> 00:18:40,040 Speaker 1: good question. On the other end of the spectrum of 315 00:18:40,240 --> 00:18:43,919 Speaker 1: trending for the wrong reasons, Michael Rappaport is in the 316 00:18:43,960 --> 00:18:49,720 Speaker 1: news for going on I think Instagram and demanding that 317 00:18:49,800 --> 00:18:53,919 Speaker 1: people listen to his opinion on how hot or not 318 00:18:54,080 --> 00:18:57,440 Speaker 1: hot in this case a person who is young enough 319 00:18:57,480 --> 00:19:01,200 Speaker 1: to be his daughter. Is I mean coming from known hottie, 320 00:19:01,440 --> 00:19:05,399 Speaker 1: like known expert on hotness, you can't think about it 321 00:19:05,440 --> 00:19:08,399 Speaker 1: without getting soaking wet, Like what is this? I don't know. 322 00:19:08,560 --> 00:19:10,840 Speaker 1: This is a fucking mess. There must have been a 323 00:19:10,840 --> 00:19:13,560 Speaker 1: time when the dude was good looking, right there. I 324 00:19:13,600 --> 00:19:17,119 Speaker 1: mean he played Remy in Higher Learning Deep Cut for 325 00:19:17,200 --> 00:19:19,400 Speaker 1: five minutes when he was eighteen or something. Yeah, I'm 326 00:19:19,440 --> 00:19:22,040 Speaker 1: sure he's had those movies. He's like, listen, I know 327 00:19:22,119 --> 00:19:25,160 Speaker 1: I look like shit and I'm old, but hear me out, 328 00:19:25,560 --> 00:19:30,080 Speaker 1: which is so much of the world. It's just very 329 00:19:30,280 --> 00:19:35,120 Speaker 1: like white male like you can you imagine I'm trying 330 00:19:35,160 --> 00:19:38,359 Speaker 1: to think of like a famous forty eight year old 331 00:19:38,440 --> 00:19:42,119 Speaker 1: woman being like, I'm sorry, Justin Bieber is not hot 332 00:19:42,200 --> 00:19:47,240 Speaker 1: like they just like I wouldn't kind of like right, Yeah, 333 00:19:47,240 --> 00:19:52,760 Speaker 1: if Oprah it just came through came for Justin would 334 00:19:52,800 --> 00:19:56,600 Speaker 1: totally listened to Oprah's opinion about that. Yeah, but thin, 335 00:19:56,760 --> 00:20:01,160 Speaker 1: Justin Bieber is hot, right, But he seems to be confused. 336 00:20:01,280 --> 00:20:04,080 Speaker 1: He's like, oh, when I talk about Trump and Kelly 337 00:20:04,160 --> 00:20:07,640 Speaker 1: and Conway, people get mad. But suddenly when I say 338 00:20:07,720 --> 00:20:11,520 Speaker 1: that Ariana Grande isn't as hot as people think. People 339 00:20:11,600 --> 00:20:14,359 Speaker 1: get mad. It's like, yeah, dude, because you're a middle 340 00:20:14,359 --> 00:20:17,840 Speaker 1: aged white guy who like nobody wants to think about 341 00:20:17,880 --> 00:20:21,720 Speaker 1: like what you find attractive. You're literally old enough to 342 00:20:21,720 --> 00:20:24,200 Speaker 1: be her dad. You're calling her not hot. And then 343 00:20:24,600 --> 00:20:27,960 Speaker 1: he reacted to people's hate by like making this gross 344 00:20:28,040 --> 00:20:32,359 Speaker 1: like like gesture at the camera in the gross way. 345 00:20:32,400 --> 00:20:35,840 Speaker 1: That's like, yeah, it's going to prevent any woman who 346 00:20:35,840 --> 00:20:39,080 Speaker 1: sees it from being sexually aroused until deep into two 347 00:20:39,160 --> 00:20:42,480 Speaker 1: thousand nineteen. He also like didn't get like, he didn't 348 00:20:42,480 --> 00:20:46,600 Speaker 1: no research. He likes he said she's twenties seven, she's not. 349 00:20:48,320 --> 00:20:50,800 Speaker 1: He like posted a picture of her from when she 350 00:20:50,880 --> 00:20:54,000 Speaker 1: was a literal child as evidence that he didn't find 351 00:20:54,040 --> 00:20:59,160 Speaker 1: her hot. And not to go full Ariana stand, but 352 00:20:59,560 --> 00:21:05,359 Speaker 1: she's been dealing with people's opinions on her enough. She 353 00:21:05,359 --> 00:21:11,439 Speaker 1: didn't Michael Rappaport, right, and yeah, exactly get out of 354 00:21:11,440 --> 00:21:15,240 Speaker 1: her face stuff. Some people shouldn't be curating things, is 355 00:21:15,359 --> 00:21:18,440 Speaker 1: the lesson I think. Right, Yeah, well we don't need 356 00:21:18,640 --> 00:21:23,560 Speaker 1: Michael Rappaport's curated list of the hottest twenty five year old, 357 00:21:24,040 --> 00:21:27,840 Speaker 1: which is actually how old? Yeah, what an idiot. Thank 358 00:21:27,880 --> 00:21:32,679 Speaker 1: you Christmas cookies. Right yeah, he was like, she actually 359 00:21:32,840 --> 00:21:36,240 Speaker 1: she's twelve, but she's really twenty seven, and it's like, well, 360 00:21:36,359 --> 00:21:41,520 Speaker 1: you're forty eight. And by the way, she's um so 361 00:21:42,080 --> 00:21:44,760 Speaker 1: and something. We're keeping an eye on here at the 362 00:21:45,119 --> 00:21:49,040 Speaker 1: Daily Zeitgeist news Lab. At the time of this recording, 363 00:21:49,640 --> 00:21:53,119 Speaker 1: the DAL has fallen, I think four hundred points to 364 00:21:53,200 --> 00:21:56,520 Speaker 1: a fourteen month low. It's people are saying Nasdaq has 365 00:21:56,680 --> 00:22:00,760 Speaker 1: entered a bear market and that we are on track 366 00:22:00,840 --> 00:22:05,160 Speaker 1: to have the worst December in stock market history since 367 00:22:05,359 --> 00:22:08,640 Speaker 1: nineteen thirty one, which I think that was a good 368 00:22:08,720 --> 00:22:11,879 Speaker 1: year for for the economy, right, yeah, yeah, definitely. I 369 00:22:11,880 --> 00:22:15,880 Speaker 1: did really well in my portfolio. Oh yeah, I thought 370 00:22:15,880 --> 00:22:17,560 Speaker 1: you were going to say. I thought you were going 371 00:22:17,600 --> 00:22:19,960 Speaker 1: to say, it's a good year for Bears. Yes, big 372 00:22:20,040 --> 00:22:24,000 Speaker 1: year for bears. Bears went great, and most of my 373 00:22:24,080 --> 00:22:28,320 Speaker 1: money in the Big Rock Candy Mountain, and it worked 374 00:22:28,320 --> 00:22:31,160 Speaker 1: out really well for me. I don't know what most 375 00:22:31,200 --> 00:22:34,800 Speaker 1: of that means. Could someone give me an idea of 376 00:22:34,880 --> 00:22:38,359 Speaker 1: bear market. The bull market is like a generally optimistic 377 00:22:38,760 --> 00:22:42,159 Speaker 1: market where everybody's like, you know, there's a lot of 378 00:22:42,240 --> 00:22:46,080 Speaker 1: sales people, whereas a bear market is like people are hibernating, 379 00:22:46,119 --> 00:22:50,560 Speaker 1: people are going into less sales. They're generally pessimistic. You 380 00:22:50,600 --> 00:22:54,359 Speaker 1: can tell that like men created the finance industry because 381 00:22:54,359 --> 00:22:58,240 Speaker 1: there's all these aggro likes the bear market. It's the 382 00:22:58,320 --> 00:23:02,720 Speaker 1: bull market right there. Their way of describing like a 383 00:23:03,560 --> 00:23:07,399 Speaker 1: quiet period of like being nervous about things is like 384 00:23:07,440 --> 00:23:15,160 Speaker 1: we're bear I imagined it all in like rhino pill font. Wait, 385 00:23:15,200 --> 00:23:19,200 Speaker 1: what's rhino pill font? You know what rhino pills are? No, 386 00:23:20,040 --> 00:23:22,639 Speaker 1: so rhino pills. And I can't tell you why I 387 00:23:22,680 --> 00:23:25,840 Speaker 1: know this, but rhino pills aren't like they sell them 388 00:23:25,920 --> 00:23:29,880 Speaker 1: for like truckers at rest stops, and it's to give 389 00:23:29,960 --> 00:23:35,520 Speaker 1: you a rhino raging erection. If you check out the 390 00:23:35,520 --> 00:23:41,960 Speaker 1: graphic design for rhino here on the I there may 391 00:23:42,000 --> 00:23:47,640 Speaker 1: not be dating a former trucker who made me savvy 392 00:23:47,760 --> 00:23:50,919 Speaker 1: to the rhino pill font and it's my favorite graphic design. 393 00:23:52,119 --> 00:23:54,360 Speaker 1: Much slept on it. Oh yeah, it is a very 394 00:23:54,359 --> 00:23:58,919 Speaker 1: strong font, very bear market. Yes, all right, guys, we're 395 00:23:58,920 --> 00:24:01,760 Speaker 1: gonna take a quick ake and we'll be right back. 396 00:24:12,040 --> 00:24:15,720 Speaker 1: And we're back. And there's been a couple of stories 397 00:24:16,080 --> 00:24:20,640 Speaker 1: of late being initiated by the President and his administration 398 00:24:21,000 --> 00:24:23,400 Speaker 1: that have led me to wonder if this is part 399 00:24:23,440 --> 00:24:27,800 Speaker 1: of his strategy. Like, for instance, over Thanksgiving weekend, which 400 00:24:27,840 --> 00:24:31,879 Speaker 1: is traditionally the slowest news week where people are just 401 00:24:31,920 --> 00:24:35,360 Speaker 1: not paying attention to the news. Uh, he dumped the 402 00:24:35,480 --> 00:24:39,600 Speaker 1: environmental report that was like we're it's like it's water 403 00:24:39,720 --> 00:24:45,160 Speaker 1: world in Uh yeah, just keep your turkey, don't worry 404 00:24:45,160 --> 00:24:48,760 Speaker 1: about it. Like, by the way, stop reproducing, We're going 405 00:24:48,800 --> 00:24:51,960 Speaker 1: we're headed for water. Yes, but make sure to buy 406 00:24:51,960 --> 00:24:54,720 Speaker 1: a bunch of stuff on Black Friday, right, Yeah. So 407 00:24:54,880 --> 00:24:58,960 Speaker 1: but they just they knew that the environmental report would 408 00:24:59,200 --> 00:25:02,359 Speaker 1: get buried under all the stories about people rioting on 409 00:25:02,480 --> 00:25:05,479 Speaker 1: Black Friday, so which is what we really want to 410 00:25:05,560 --> 00:25:08,639 Speaker 1: read about on that weekend. Anyways, I get the feeling 411 00:25:08,680 --> 00:25:12,960 Speaker 1: that they're starting to do the same thing with people 412 00:25:13,520 --> 00:25:17,800 Speaker 1: seemed baffled in a decision that nobody can understand. The 413 00:25:17,840 --> 00:25:21,119 Speaker 1: President has declared victory over Isis and announced that he 414 00:25:21,160 --> 00:25:26,280 Speaker 1: wants to remove all US troops from Syria. Uh and yeah, 415 00:25:26,359 --> 00:25:30,080 Speaker 1: there's just all sorts of articles on Box and Washington Post. 416 00:25:30,200 --> 00:25:35,879 Speaker 1: Like none of his advisors everyone has been completely blindsided 417 00:25:36,000 --> 00:25:41,240 Speaker 1: by this decision and by arbitrarily declaring victory over ice, right, 418 00:25:41,280 --> 00:25:44,960 Speaker 1: which seems like it's totally his sort of speed. But 419 00:25:45,080 --> 00:25:49,600 Speaker 1: also it's definitely exactly what Putin would want him to do, 420 00:25:49,800 --> 00:25:52,480 Speaker 1: just like, yeah, so his number one advisor is totally 421 00:25:52,480 --> 00:25:56,280 Speaker 1: good with it, right, Vladimir Putin, Yes, decision dude. Yeah, 422 00:25:56,359 --> 00:25:58,879 Speaker 1: he's number one advisory. Knew before he did what he 423 00:25:58,960 --> 00:26:01,640 Speaker 1: was going to do, right, It's amazing. Yeah, I need 424 00:26:01,680 --> 00:26:05,840 Speaker 1: that kind of advisor. Yeah. So we've been just pelted 425 00:26:06,080 --> 00:26:09,159 Speaker 1: in the face for two straight weeks with evidence that 426 00:26:09,240 --> 00:26:14,200 Speaker 1: he has a weird, not totally above board relationship with Russia, 427 00:26:14,480 --> 00:26:16,560 Speaker 1: and then all of a sudden, he's like, yeah, we're 428 00:26:16,560 --> 00:26:19,160 Speaker 1: getting out of Syria at the one place that we're 429 00:26:19,240 --> 00:26:23,440 Speaker 1: completely at odds with Russia. Uh. And then they also 430 00:26:23,920 --> 00:26:28,119 Speaker 1: that's just a coincidence. Could almost can't be anything there is. 431 00:26:28,160 --> 00:26:30,760 Speaker 1: This is the box headline. No one knows what's happening 432 00:26:30,760 --> 00:26:38,640 Speaker 1: with Trump's Syria decisions. Incredible, that's the box headline. Yeah, 433 00:26:38,680 --> 00:26:40,959 Speaker 1: I think Putin knows, though Putin's the only one who 434 00:26:41,000 --> 00:26:43,080 Speaker 1: understands that. I think Trump is probably even confused, right, 435 00:26:43,440 --> 00:26:45,400 Speaker 1: It's like he wants me to leave Syria for some 436 00:26:45,440 --> 00:26:49,359 Speaker 1: reason on whatever. But yeah, this well, first, first he says, 437 00:26:49,400 --> 00:26:51,639 Speaker 1: we won the war. Isis is defeated, so we can withdraw. 438 00:26:52,040 --> 00:26:54,359 Speaker 1: And then when people criticized, he's like, no, no, no no, 439 00:26:54,680 --> 00:26:57,119 Speaker 1: other people are still there to fight Isis right, Like, 440 00:26:57,400 --> 00:27:00,119 Speaker 1: did we defeat them or not? You know? Yeah, And 441 00:27:00,160 --> 00:27:02,679 Speaker 1: this is heading into a holiday season that has like 442 00:27:02,880 --> 00:27:07,240 Speaker 1: unprecedented Isis chatter, and like there's all sorts of reports 443 00:27:07,240 --> 00:27:10,359 Speaker 1: saying that ISIS is planning on targeting New York on 444 00:27:10,480 --> 00:27:13,919 Speaker 1: New Year's and you know, that's something that is in 445 00:27:14,000 --> 00:27:16,920 Speaker 1: the news, and he's just like, ah, we got this, 446 00:27:17,320 --> 00:27:21,679 Speaker 1: We're good, right, don't worry stuff on New Year's Eve. Yeah. People, 447 00:27:21,800 --> 00:27:25,560 Speaker 1: I've read somewhere somebody making the comment that this would 448 00:27:25,640 --> 00:27:30,040 Speaker 1: be his mission accomplished, George W. Bush moment if he 449 00:27:30,119 --> 00:27:34,840 Speaker 1: hadn't tweeted it on the toilet instead of if he 450 00:27:34,880 --> 00:27:37,680 Speaker 1: had landed on a good lord. If there's a picture 451 00:27:37,720 --> 00:27:39,840 Speaker 1: of that, that would be gold. Yeah, they'd be cool. 452 00:27:39,880 --> 00:27:44,440 Speaker 1: Picture of Trump on a toilet on an aircraft carrier. Yeah, man, 453 00:27:44,520 --> 00:27:49,480 Speaker 1: somebody has probably already photoshopped that. God bless the Internet. 454 00:27:49,840 --> 00:27:53,280 Speaker 1: Everything is on the internet. Yeah. And then there's a 455 00:27:53,359 --> 00:27:57,320 Speaker 1: second story that's come out that has people similarly confused 456 00:27:57,359 --> 00:28:00,639 Speaker 1: for some reason that the Trump administration has decided to 457 00:28:00,680 --> 00:28:05,040 Speaker 1: lift sanctions on Russian oligarch's companies is the New York 458 00:28:05,040 --> 00:28:10,240 Speaker 1: Times headline, They've decided this guy Ole der Pasca, one 459 00:28:10,280 --> 00:28:16,640 Speaker 1: of Russia's most influential oligarchs who got sanctioned specifically because 460 00:28:16,720 --> 00:28:20,159 Speaker 1: of Russia's interference with the election. Trump has decided to, 461 00:28:20,640 --> 00:28:23,240 Speaker 1: you know, go easy on him for some reason. I mean, 462 00:28:23,280 --> 00:28:27,640 Speaker 1: that's not confusing. What's It's like, how is that allowed 463 00:28:27,680 --> 00:28:31,080 Speaker 1: to happen? But that's a question that I have sometimes with, 464 00:28:31,280 --> 00:28:33,960 Speaker 1: like why is the front page of the New York Times? 465 00:28:34,040 --> 00:28:37,200 Speaker 1: Like it really looks like he's just doing stuff that 466 00:28:37,440 --> 00:28:40,440 Speaker 1: is good for Russia. Why are we acting confused? Like 467 00:28:41,080 --> 00:28:44,200 Speaker 1: is it because we don't have like the smoking gun 468 00:28:44,360 --> 00:28:47,720 Speaker 1: evidence or something. I don't know. I'm kind of confused it. 469 00:28:47,760 --> 00:28:49,840 Speaker 1: That's been the tone of a lot of news stories recently. 470 00:28:49,840 --> 00:28:52,480 Speaker 1: It's like can you believe? It's like no, yeah, everyone 471 00:28:52,520 --> 00:28:56,680 Speaker 1: can believe everything, But why why is it allowed to happen? Yes, 472 00:28:57,120 --> 00:28:59,480 Speaker 1: it kind of sounds like maybe he knows he won't 473 00:28:59,480 --> 00:29:01,760 Speaker 1: be at the job for very long much longer, and 474 00:29:01,760 --> 00:29:03,400 Speaker 1: so he's trying to do all these things that he 475 00:29:03,440 --> 00:29:06,840 Speaker 1: might as well, just do openly right. He's making good 476 00:29:06,880 --> 00:29:09,920 Speaker 1: on all his all his debts. He's paying his debts 477 00:29:10,040 --> 00:29:13,440 Speaker 1: because he knows that he's getting out of there. That's 478 00:29:13,480 --> 00:29:18,040 Speaker 1: the wildly optimistic read on this. Uh my read on 479 00:29:18,080 --> 00:29:21,920 Speaker 1: it is he has never given a single funk about 480 00:29:21,960 --> 00:29:26,160 Speaker 1: what anybody thinks, and we are not going to get 481 00:29:26,240 --> 00:29:30,360 Speaker 1: him out of the White House without like some sort 482 00:29:30,360 --> 00:29:33,960 Speaker 1: of military action. I really think he's he's not gonna 483 00:29:34,000 --> 00:29:36,800 Speaker 1: make it easy there. I And I also am fully 484 00:29:36,880 --> 00:29:39,640 Speaker 1: on board with like the holiday while no one's looking, 485 00:29:39,720 --> 00:29:41,440 Speaker 1: Let's see how much I can get away with narrative 486 00:29:41,640 --> 00:29:44,160 Speaker 1: of like I'm sure that wasn't his idea, but he would. 487 00:29:44,600 --> 00:29:47,239 Speaker 1: They'll be like, hey, Mr President, have you seen the 488 00:29:47,240 --> 00:29:52,640 Speaker 1: movie Hall Pass? What about that? But for foreign policies? Right? 489 00:29:52,760 --> 00:29:56,840 Speaker 1: The Hall Pass? Foreign policies? Well, I don't even know 490 00:29:56,880 --> 00:29:58,800 Speaker 1: how he's allowed to do it. You know, Congress passes, 491 00:29:58,840 --> 00:30:00,960 Speaker 1: he's in laws saying we need sanctions on Russia, and 492 00:30:01,000 --> 00:30:04,440 Speaker 1: then the administration just goes, we thought about it, but 493 00:30:05,360 --> 00:30:08,040 Speaker 1: is that an executive power? It is? Oh, he just 494 00:30:08,120 --> 00:30:11,240 Speaker 1: doesn't do it right. He claims that it was part 495 00:30:11,280 --> 00:30:13,640 Speaker 1: of our you know, foreign policy. We need to have 496 00:30:13,720 --> 00:30:16,160 Speaker 1: the option to do this or not do this or whatever. 497 00:30:16,240 --> 00:30:19,719 Speaker 1: But it's bologny that Congress makes these decisions. Yeah, yeah, 498 00:30:19,960 --> 00:30:23,720 Speaker 1: it does look like people are I don't know it. 499 00:30:23,960 --> 00:30:25,800 Speaker 1: We've been talking for a couple of weeks now that 500 00:30:25,880 --> 00:30:30,640 Speaker 1: it seems like Washington, Like inside Washington, people are starting 501 00:30:30,640 --> 00:30:34,640 Speaker 1: to be a little bit more hesitant, a little more 502 00:30:34,720 --> 00:30:40,800 Speaker 1: bearish and less bullish on uh being associated with the 503 00:30:40,920 --> 00:30:44,320 Speaker 1: with the with the president. Like, no GOP member of 504 00:30:44,360 --> 00:30:48,160 Speaker 1: Congress has the will to pass anything Trump wants. His 505 00:30:48,240 --> 00:30:52,320 Speaker 1: foundation was shut down, he's had he's had a bad 506 00:30:52,600 --> 00:30:56,360 Speaker 1: I think SNL said that Trump had a bad year 507 00:30:56,520 --> 00:30:59,600 Speaker 1: last week because it was just like a year's worth 508 00:30:59,640 --> 00:31:04,160 Speaker 1: of just terrible news. Um, no one wants to be 509 00:31:04,200 --> 00:31:06,760 Speaker 1: his chief of staff. We've been at the Trump tipping 510 00:31:06,760 --> 00:31:09,240 Speaker 1: point forever, like everybody's always like, well, this is definitely 511 00:31:09,280 --> 00:31:11,240 Speaker 1: what's going to bring him down. We can't survive this. 512 00:31:11,360 --> 00:31:13,800 Speaker 1: But then he just blows it over by doing something 513 00:31:13,840 --> 00:31:16,280 Speaker 1: even dumber or more dramatic the next week, which makes 514 00:31:16,280 --> 00:31:18,680 Speaker 1: it look like small potatoes, which just like a gambler, 515 00:31:18,880 --> 00:31:22,920 Speaker 1: he keeps doubling down, and he's still super popular among 516 00:31:23,000 --> 00:31:27,160 Speaker 1: the GOP. Among the Fox News watching demographic, there was 517 00:31:27,200 --> 00:31:30,600 Speaker 1: a Wall Street Journal article about how his support among 518 00:31:30,680 --> 00:31:36,400 Speaker 1: Republican women is ninety three percent. That said, the percentage 519 00:31:36,560 --> 00:31:40,400 Speaker 1: of the country that identifies as Republican women is at 520 00:31:40,440 --> 00:31:43,080 Speaker 1: an all time low. So yeah, it's like, I see 521 00:31:43,120 --> 00:31:45,240 Speaker 1: a lot of people are leaving the party. It's the 522 00:31:45,400 --> 00:31:49,959 Speaker 1: watching the GOP's reaction to his actions. It's my my guests, 523 00:31:50,000 --> 00:31:53,240 Speaker 1: and I'm sure there's other reasons. Is it seems like, 524 00:31:52,800 --> 00:31:56,280 Speaker 1: uh like if it seems like he's his presidency remaining 525 00:31:56,280 --> 00:31:58,640 Speaker 1: a thing is on shaky ground, then deciding all the 526 00:31:58,640 --> 00:32:00,480 Speaker 1: way with him would probably be a add thing to 527 00:32:00,520 --> 00:32:03,720 Speaker 1: do right now if you want power soon. Yeah, that's 528 00:32:03,800 --> 00:32:07,080 Speaker 1: the sense you get. I just don't think anybody has 529 00:32:07,280 --> 00:32:09,840 Speaker 1: the courage to do anything about it. I think it 530 00:32:09,880 --> 00:32:13,800 Speaker 1: has nothing to do with like increasing morality. This was 531 00:32:14,040 --> 00:32:21,360 Speaker 1: all professional strategy. Yeah, it's all calculated, calculating, like risk management. Yeah, basically, 532 00:32:21,440 --> 00:32:25,120 Speaker 1: bear market for Trump, bear market on Trump in Washington, 533 00:32:26,040 --> 00:32:28,440 Speaker 1: and we should probably mention that the government looks like 534 00:32:28,480 --> 00:32:30,840 Speaker 1: it's going to be shut down. There was a deal 535 00:32:31,240 --> 00:32:34,840 Speaker 1: that all indications were that Trump was going to go 536 00:32:34,920 --> 00:32:39,520 Speaker 1: along with that did not give him funding for his wall. Uh, 537 00:32:39,560 --> 00:32:41,840 Speaker 1: he was just going to bite that bullet and then 538 00:32:42,520 --> 00:32:45,880 Speaker 1: Rush Limbaugh started, you know, saying, I can't believe Trump 539 00:32:46,000 --> 00:32:49,400 Speaker 1: is going along with this, What is he a chicken? 540 00:32:49,760 --> 00:32:54,080 Speaker 1: And started making bocking noises and like like an arrested development, 541 00:32:54,200 --> 00:32:59,600 Speaker 1: right yeah, like literally, honestly how our national policy decided? Now, Yeah, essentially, 542 00:32:59,720 --> 00:33:03,880 Speaker 1: I mean Trump literally texted him and was like, you 543 00:33:03,920 --> 00:33:07,800 Speaker 1: think I'm bagging down, but I'm not, see, um not 544 00:33:08,040 --> 00:33:11,960 Speaker 1: see that was a little trick I was playing, right exactly. 545 00:33:12,040 --> 00:33:15,000 Speaker 1: I was I have them just where I want them. 546 00:33:15,040 --> 00:33:20,120 Speaker 1: And then somebody should dare him to quit. Yeah, not quitting. 547 00:33:20,760 --> 00:33:24,640 Speaker 1: You shouldn't return to your life of debauchery, right, Yeah, 548 00:33:24,720 --> 00:33:27,440 Speaker 1: Now he's blown it up, and it seems like it's 549 00:33:27,480 --> 00:33:31,640 Speaker 1: exclusively because somebody called him chicken. One quick article I 550 00:33:31,680 --> 00:33:34,520 Speaker 1: wanted to check in with Vanity Fair kind of did 551 00:33:34,560 --> 00:33:38,840 Speaker 1: a deep dive into Georgetown Prep and just what the 552 00:33:38,880 --> 00:33:41,520 Speaker 1: culture is like there, because you know, if you were 553 00:33:41,560 --> 00:33:44,400 Speaker 1: paying attention to the Kavanaugh hearings, you got a sense 554 00:33:44,480 --> 00:33:47,600 Speaker 1: that at least back in three it was not the 555 00:33:47,640 --> 00:33:51,160 Speaker 1: coolest place to be um and they weren't the greatest 556 00:33:51,160 --> 00:33:54,040 Speaker 1: people to be around, and so the earth you were 557 00:33:54,040 --> 00:33:55,960 Speaker 1: a rich white dude, in which case is probably a 558 00:33:56,000 --> 00:33:58,200 Speaker 1: lot of fun for them, right, well, unless you were 559 00:33:58,600 --> 00:34:01,120 Speaker 1: one of the three rich white dudes like who hung 560 00:34:01,120 --> 00:34:05,200 Speaker 1: out with Kavanaugh Squeezed to believed. Yeah, they talk about 561 00:34:05,240 --> 00:34:08,320 Speaker 1: how Kavanaugh and his friends used to like throw people 562 00:34:08,480 --> 00:34:12,360 Speaker 1: into garbage cans and stuff like they were very old school. 563 00:34:14,480 --> 00:34:18,520 Speaker 1: Kavanaugh didn't do it himself. He just laughed like an idiot. 564 00:34:17,680 --> 00:34:24,280 Speaker 1: I might want to run for office some days, exactly. Um. 565 00:34:24,320 --> 00:34:28,040 Speaker 1: And there's a lot of stuff about specifically, you know, 566 00:34:28,080 --> 00:34:32,399 Speaker 1: the Kavanaugh allegations and the way the community sort of 567 00:34:32,560 --> 00:34:35,920 Speaker 1: seemed to band together around him, Like the women who 568 00:34:35,960 --> 00:34:40,839 Speaker 1: started the campaign of Women for Kavanaugh. They are specifically 569 00:34:41,040 --> 00:34:44,759 Speaker 1: women who he I think dated at one point, or 570 00:34:44,800 --> 00:34:47,000 Speaker 1: one of them he dated and they ended up marrying 571 00:34:47,160 --> 00:34:50,360 Speaker 1: his good like squee or like people in that group 572 00:34:50,400 --> 00:34:54,480 Speaker 1: of friends is married. I'll throw myself in the ocean. 573 00:34:54,640 --> 00:34:58,640 Speaker 1: Oh no, squee is definitely married. H You think squee 574 00:34:58,680 --> 00:35:02,400 Speaker 1: wears pajamas every day? Squeeze sent me a Christmas card 575 00:35:02,440 --> 00:35:08,440 Speaker 1: with him and his family in matching pajamas. Actually, uh, 576 00:35:08,520 --> 00:35:14,760 Speaker 1: but yeah, but those women are sort of the um 577 00:35:14,800 --> 00:35:17,200 Speaker 1: I guess they had. They're very influential in terms of 578 00:35:17,239 --> 00:35:19,719 Speaker 1: like the parenting scene, and like where your kids get 579 00:35:19,719 --> 00:35:23,440 Speaker 1: into school and stuff, and so they started the movement 580 00:35:23,560 --> 00:35:26,399 Speaker 1: and that's why they were able to get so many signatures. 581 00:35:26,760 --> 00:35:29,399 Speaker 1: But they got quotes from a lot of women who 582 00:35:29,480 --> 00:35:32,160 Speaker 1: had signed the thing being like, yeah, no, I mean, 583 00:35:32,320 --> 00:35:34,840 Speaker 1: we feel bad for Kavanaugh because he was probably blacked 584 00:35:34,880 --> 00:35:38,600 Speaker 1: out and didn't remember it, but lem and say, all 585 00:35:38,680 --> 00:35:42,080 Speaker 1: these are rich white ladies. Yes, But then they were 586 00:35:42,239 --> 00:35:45,640 Speaker 1: very like put off when he started like raging about 587 00:35:45,680 --> 00:35:49,120 Speaker 1: accusations that he had ever blacked out. They're like, no, 588 00:35:49,360 --> 00:35:51,920 Speaker 1: you were always blacked out when we hung out with you, 589 00:35:51,960 --> 00:35:54,440 Speaker 1: and you always talked about it. And the detail about 590 00:35:55,120 --> 00:35:59,799 Speaker 1: Judge jumping on Kavanaugh while he was sexually assaulting Dr. 591 00:36:00,040 --> 00:36:02,640 Speaker 1: As he Ford, they were like, that was the detail 592 00:36:02,719 --> 00:36:05,880 Speaker 1: that made it clear that it definitely happened, because that 593 00:36:05,960 --> 00:36:08,960 Speaker 1: was apparently just that Judge guys like thing. He was 594 00:36:09,000 --> 00:36:12,440 Speaker 1: always just jumping on people. That was like his trademark 595 00:36:14,800 --> 00:36:18,600 Speaker 1: of people. Yeah, just awesome people people. But the weird 596 00:36:18,640 --> 00:36:22,399 Speaker 1: thing is how gross the culture is and remains. Like 597 00:36:22,440 --> 00:36:25,040 Speaker 1: the reporter goes to this alumni event where all the 598 00:36:25,080 --> 00:36:28,440 Speaker 1: people from the Georgetown Prep class of eighty three are 599 00:36:28,520 --> 00:36:30,400 Speaker 1: hanging out, and like one of the heads of the 600 00:36:30,400 --> 00:36:32,640 Speaker 1: school talks about how proud he is of the way 601 00:36:32,680 --> 00:36:35,640 Speaker 1: they all hung together during the Kavanaugh thing, how they 602 00:36:35,680 --> 00:36:37,839 Speaker 1: all like look out for each other. That's what I'm 603 00:36:37,920 --> 00:36:42,160 Speaker 1: I was like really excited that comes up in this 604 00:36:42,280 --> 00:36:46,319 Speaker 1: article because there's like around the Kavanaugh hearings, there was 605 00:36:46,400 --> 00:36:49,920 Speaker 1: even with people and like I talked about it with 606 00:36:49,960 --> 00:36:51,919 Speaker 1: my parents of like they're like, well, yeah, we're sure 607 00:36:51,960 --> 00:36:55,040 Speaker 1: that it happened, but it was the eighties and like 608 00:36:55,120 --> 00:36:57,719 Speaker 1: the culture was different, and so the reporting that is 609 00:36:57,760 --> 00:37:02,520 Speaker 1: like far more recent is super useful because I worry 610 00:37:02,560 --> 00:37:05,360 Speaker 1: about that becoming the narrative of like, well, all these 611 00:37:05,600 --> 00:37:09,840 Speaker 1: like men who assaulted women in like the seventies, eighties 612 00:37:09,840 --> 00:37:13,640 Speaker 1: and early nineties are are getting canceled and how unfair. 613 00:37:14,600 --> 00:37:18,279 Speaker 1: But there's like there's info from like the early to 614 00:37:18,360 --> 00:37:21,520 Speaker 1: mid two thousands in this article. Yeah, it's crazy. So 615 00:37:21,600 --> 00:37:25,120 Speaker 1: the way that that community sort of got together and 616 00:37:25,239 --> 00:37:29,040 Speaker 1: defended Kavanaugh during this was also the way that the 617 00:37:29,160 --> 00:37:34,359 Speaker 1: George Town Prep community responded when a student accused one 618 00:37:34,360 --> 00:37:38,480 Speaker 1: of the priests of sexually molesting him. Uh. There was 619 00:37:38,520 --> 00:37:42,239 Speaker 1: this huge backlash in the community against the victim. In 620 00:37:42,320 --> 00:37:47,600 Speaker 1: particularly Uh. Yeah, there was like this big alumni like backlash, 621 00:37:47,640 --> 00:37:49,879 Speaker 1: and there there was like an email chain that went 622 00:37:49,920 --> 00:37:53,080 Speaker 1: around where they claimed that he was Like the student 623 00:37:53,280 --> 00:37:55,960 Speaker 1: Eric flat out admitted that he made the whole thing up. 624 00:37:56,760 --> 00:37:59,880 Speaker 1: It was because of his rocky coming out experience, because 625 00:38:00,080 --> 00:38:03,239 Speaker 1: the student who was molested he was gay, but he 626 00:38:03,320 --> 00:38:06,239 Speaker 1: wasn't out yet, so the guy just outed him in 627 00:38:06,280 --> 00:38:09,880 Speaker 1: this email victim blaming hand outing someone and then he 628 00:38:10,000 --> 00:38:13,040 Speaker 1: expressed shock at the lies he spread about father or 629 00:38:13,719 --> 00:38:16,080 Speaker 1: and then the student ended up having to leave the 630 00:38:16,080 --> 00:38:19,880 Speaker 1: school because people we're spreading rumors that he was a 631 00:38:19,960 --> 00:38:22,840 Speaker 1: sexual deviant, that his parents had molested him, and that 632 00:38:22,960 --> 00:38:28,960 Speaker 1: he was dying of AIDS. Jesus Christ. Yeah, wonderful, supportive 633 00:38:29,040 --> 00:38:34,840 Speaker 1: learning environment. And it's also not just yeah right exactly 634 00:38:35,040 --> 00:38:38,200 Speaker 1: like Georgetown Prep is. I'm sure egregious in terms of 635 00:38:38,239 --> 00:38:40,520 Speaker 1: college campuses that put up with this ship, but there's 636 00:38:40,640 --> 00:38:44,680 Speaker 1: like colleges have put up with this ship until so recently. 637 00:38:44,880 --> 00:38:48,319 Speaker 1: Like I went to Emerson College and like, you know, 638 00:38:48,520 --> 00:38:52,840 Speaker 1: very progressive art school, but in like when I was 639 00:38:52,880 --> 00:38:55,680 Speaker 1: still going there, there was a huge thing there that 640 00:38:55,840 --> 00:38:59,480 Speaker 1: was an issue of like the school administration is uh 641 00:38:59,560 --> 00:39:02,759 Speaker 1: not with sending to people who report sexual assault there's 642 00:39:02,800 --> 00:39:05,880 Speaker 1: no consequences. There was like the year I graduated, there 643 00:39:05,920 --> 00:39:10,839 Speaker 1: were three different instances of women reporting stuff and this 644 00:39:11,000 --> 00:39:14,319 Speaker 1: like fucking art school being like we don't believe you, 645 00:39:14,360 --> 00:39:16,839 Speaker 1: and nothing happens, and so it's like it's still like 646 00:39:17,600 --> 00:39:19,680 Speaker 1: it's it's weird because there's now there's like this big 647 00:39:19,680 --> 00:39:22,920 Speaker 1: discussion of like our college campus is too politically correct, 648 00:39:22,960 --> 00:39:25,640 Speaker 1: but it's like they just started talking about it a 649 00:39:25,680 --> 00:39:28,120 Speaker 1: couple of years ago. Like it's even the schools that 650 00:39:28,160 --> 00:39:31,960 Speaker 1: are like woke schools, that's like very new. Yeah, And 651 00:39:32,000 --> 00:39:35,120 Speaker 1: I think that that is even in the mainstream media 652 00:39:35,200 --> 00:39:38,440 Speaker 1: with its supposed liberal bias, the idea that people are 653 00:39:38,480 --> 00:39:42,760 Speaker 1: being treated unfairly because the college campuses are too liberal 654 00:39:42,920 --> 00:39:45,520 Speaker 1: is an overblown story when you look at all the 655 00:39:45,600 --> 00:39:51,080 Speaker 1: things that could be being covered, like actual actually hurting people. 656 00:39:51,360 --> 00:39:53,680 Speaker 1: It's just I don't know, I think being anti rape 657 00:39:53,760 --> 00:39:58,879 Speaker 1: is just liberal enough. Yes, But anyways, the priest ended 658 00:39:58,960 --> 00:40:02,680 Speaker 1: up being you know, there were other incidents, as they're 659 00:40:02,719 --> 00:40:07,040 Speaker 1: often are in situations like this, and he was eventually 660 00:40:07,080 --> 00:40:10,160 Speaker 1: disgraced and you know, the school had to send out 661 00:40:10,160 --> 00:40:14,160 Speaker 1: an apology and you know, but it sounds like they 662 00:40:14,239 --> 00:40:17,880 Speaker 1: learned from that lesson though, right, Yeah, yeah, exactly, because 663 00:40:18,200 --> 00:40:21,359 Speaker 1: as you saw during the Kavanaugh hearings, and uh, they 664 00:40:21,520 --> 00:40:26,439 Speaker 1: complimented every eventually disgraced. Right, these priests just go on 665 00:40:26,520 --> 00:40:29,200 Speaker 1: and on and on and lasting more and more victims 666 00:40:29,239 --> 00:40:31,839 Speaker 1: and covered up by the church and moved around. It's 667 00:40:31,880 --> 00:40:34,799 Speaker 1: it's a it's an immense tragedy. Yeah, there's a lot 668 00:40:34,840 --> 00:40:38,640 Speaker 1: of bed kind of coming together there. All right, we're 669 00:40:38,640 --> 00:40:42,080 Speaker 1: going to take another quick break and we'll be right back. 670 00:40:52,520 --> 00:40:57,200 Speaker 1: And we're back. And as we head towards the end 671 00:40:57,239 --> 00:41:02,640 Speaker 1: of two thousand eighteen, the USA today the number one 672 00:41:02,640 --> 00:41:08,479 Speaker 1: new source in America, hardest, hitting, hardest. Yes. Uh, they 673 00:41:08,520 --> 00:41:10,839 Speaker 1: are announcing that there are five products that are going 674 00:41:10,840 --> 00:41:16,399 Speaker 1: away in two thousand nineteen that you know you probably love, say, 675 00:41:16,440 --> 00:41:20,920 Speaker 1: Christmas cookies, chas. Unfortunately, there are no Christmas cookie cancel 676 00:41:21,000 --> 00:41:27,160 Speaker 1: a genre of Catholic priests, nor an American classic. Uh no, No, 677 00:41:27,360 --> 00:41:32,240 Speaker 1: the Catholic Church is not canceling priests. Unfortunately. Hogan Dahs 678 00:41:32,480 --> 00:41:38,080 Speaker 1: is canceling sweet cream coffee caramel as a flavor of vanilla, tangerine, 679 00:41:38,160 --> 00:41:41,960 Speaker 1: short bread, pomegranate dark chocolate bar. And then this one 680 00:41:42,040 --> 00:41:46,279 Speaker 1: sounds like somebody is dying or like their their brain 681 00:41:46,400 --> 00:41:51,440 Speaker 1: is misfiring. Yeah, chocolate dark chocolate almond bar. That sounds 682 00:41:51,480 --> 00:41:58,800 Speaker 1: like a code. It's like a Davin chocolate dark chocolate. Yeah. 683 00:41:58,920 --> 00:42:02,960 Speaker 1: I have no attachment to does what? I'm not you know, 684 00:42:03,000 --> 00:42:07,560 Speaker 1: I'm not wealthy, right, hogin does no what? What kind 685 00:42:07,560 --> 00:42:09,800 Speaker 1: of ice cream you eat? Good? Written? I eat the 686 00:42:10,120 --> 00:42:15,920 Speaker 1: McDonald's cone Nice. Nice, that's always ice cream. That's okay. 687 00:42:16,040 --> 00:42:20,600 Speaker 1: You know what cream like? Processed food something? You know what? 688 00:42:20,800 --> 00:42:22,760 Speaker 1: That is my favorite too. I love that ice cream. 689 00:42:23,040 --> 00:42:28,720 Speaker 1: It's good, delicious, and it's also it's also not calorically dense. 690 00:42:29,320 --> 00:42:31,800 Speaker 1: It's true. Yeah, have you guys gep French fries on 691 00:42:31,840 --> 00:42:34,359 Speaker 1: your ice cream? I would eat an ice cream French 692 00:42:34,360 --> 00:42:39,520 Speaker 1: fry Christmas cookie. Someone invented one. Also, speaking of fast food, 693 00:42:39,760 --> 00:42:43,560 Speaker 1: there are the cow Wall calendars from Chick fil a. 694 00:42:43,600 --> 00:42:45,600 Speaker 1: Is anybody familiar with Oh I didn't know that was 695 00:42:45,640 --> 00:42:48,399 Speaker 1: a product, but now I miss it. Yeah, me too, 696 00:42:48,480 --> 00:42:54,960 Speaker 1: so much. The Chevy Vault is going away? Is it big? Small? 697 00:42:55,480 --> 00:42:59,600 Speaker 1: I think that was a small smallish hybrid or electronic vehicle. 698 00:43:00,000 --> 00:43:05,440 Speaker 1: Oh that's not good. Yeah. Henry Bendell, anybody familiar with that? 699 00:43:05,719 --> 00:43:09,360 Speaker 1: He's a product or a man, he is a product, 700 00:43:09,719 --> 00:43:13,520 Speaker 1: a brand that was like I think I had heard 701 00:43:13,560 --> 00:43:16,840 Speaker 1: it before producer around n I was talking about how 702 00:43:17,800 --> 00:43:22,600 Speaker 1: on Gossip Girl they talked about bendel as a as 703 00:43:22,640 --> 00:43:25,160 Speaker 1: like one of the only places they would shop because 704 00:43:25,160 --> 00:43:27,799 Speaker 1: they were so rich. Oh it's a store. Yeah, it's 705 00:43:27,800 --> 00:43:33,839 Speaker 1: a store, so it's probably French on the Yes, why 706 00:43:33,840 --> 00:43:35,719 Speaker 1: how did I pronounce it? That's how it sounded in 707 00:43:35,719 --> 00:43:39,920 Speaker 1: my head when I said it. But that's what I 708 00:43:39,960 --> 00:43:42,480 Speaker 1: want in my tombstone. I wanted to say r Ham 709 00:43:42,840 --> 00:43:46,160 Speaker 1: he was a man and a product. Yes, the brand. 710 00:43:46,760 --> 00:43:48,799 Speaker 1: I want to only be famous as something that's going 711 00:43:48,840 --> 00:43:55,600 Speaker 1: away in now I'm going away, going away. In the 712 00:43:55,680 --> 00:43:58,520 Speaker 1: Connect feature on Apple Music, did you guys do you 713 00:43:58,560 --> 00:44:03,560 Speaker 1: guys use Apple Music? Was that that's like basically Apple's Spotify? No, 714 00:44:03,640 --> 00:44:06,600 Speaker 1: but what's the connect feature? The Connect feature is basically 715 00:44:06,640 --> 00:44:09,239 Speaker 1: the social media like you know how on Spotify you 716 00:44:09,280 --> 00:44:13,040 Speaker 1: can see like you can follow an artist and they 717 00:44:13,040 --> 00:44:17,120 Speaker 1: will like drop like have like playlists and ship like that. 718 00:44:17,600 --> 00:44:21,239 Speaker 1: Apple tried to do that and it didn't work for them. 719 00:44:21,440 --> 00:44:25,080 Speaker 1: I still wish that Spotify would stop showing other people 720 00:44:25,120 --> 00:44:28,600 Speaker 1: what I'm listening to because it's embarrassing and you can't 721 00:44:28,640 --> 00:44:32,080 Speaker 1: turn it off for more than six hours? Is that true? Yeah, 722 00:44:32,160 --> 00:44:33,880 Speaker 1: you have to. I have to every morning when I 723 00:44:33,920 --> 00:44:39,040 Speaker 1: wake up before I listen to Pippin, have to turn 724 00:44:39,080 --> 00:44:44,040 Speaker 1: off my public feed. Yeah, they're just automatically revert to 725 00:44:44,040 --> 00:44:46,520 Speaker 1: turning up. Are you embarrassing? Yeah? After six hours? The 726 00:44:46,520 --> 00:44:49,480 Speaker 1: most embarrassing thing you listen to, No, I was, I've 727 00:44:49,480 --> 00:44:51,759 Speaker 1: been in a Pippin hole. But I don't have good 728 00:44:51,920 --> 00:44:54,560 Speaker 1: taste in music per se, and I would like to 729 00:44:54,640 --> 00:44:58,759 Speaker 1: keep other I need. I need an interior life. You 730 00:44:58,760 --> 00:45:00,799 Speaker 1: want you want to pretend that you have good tasting music, 731 00:45:00,800 --> 00:45:03,680 Speaker 1: but then I actually listened to whatever you want. I'd 732 00:45:03,680 --> 00:45:06,960 Speaker 1: like to. I'd like to listen to old Broadway songs, 733 00:45:07,000 --> 00:45:12,080 Speaker 1: but not have that be my personality. Need like a 734 00:45:12,200 --> 00:45:15,960 Speaker 1: Russian bot for your Spotify. Alright, so those are the 735 00:45:15,960 --> 00:45:21,960 Speaker 1: products that are going away. So r I p dark chocolate, chocolate, 736 00:45:22,000 --> 00:45:26,520 Speaker 1: almond chocolate, bar um. And then the internet is going 737 00:45:26,680 --> 00:45:30,839 Speaker 1: crazy over this Rachel McAdams breast pump photograph. I think 738 00:45:30,880 --> 00:45:33,920 Speaker 1: it was like just an extra taken on a on 739 00:45:34,000 --> 00:45:39,080 Speaker 1: a lark by the photographer during a photo shoot because 740 00:45:39,120 --> 00:45:43,800 Speaker 1: she had to pump between photographs. Because she had a 741 00:45:43,840 --> 00:45:48,800 Speaker 1: baby six months ago. And yeah, it's pretty dope picture. 742 00:45:48,920 --> 00:45:52,200 Speaker 1: She looks like a boss, and she has the breast 743 00:45:52,200 --> 00:45:56,839 Speaker 1: pumps going, she's getting good, good milk. Get god. Well, 744 00:45:56,840 --> 00:46:00,560 Speaker 1: she's Rachel McAdams. They can't show an empty bottle, you think, 745 00:46:00,640 --> 00:46:06,920 Speaker 1: so you're saying that's fake milk. I'm Rachel mcadam's breastfeeding truther. Yes, 746 00:46:07,360 --> 00:46:12,640 Speaker 1: but somebody was pointing out that it's somewhat of a like, 747 00:46:12,680 --> 00:46:15,800 Speaker 1: if you want to do a sort of deep political 748 00:46:15,920 --> 00:46:21,880 Speaker 1: reading of the image, it's hit it. Well, so it's 749 00:46:22,160 --> 00:46:26,200 Speaker 1: cool to empower women and make breast pumping look awesome, 750 00:46:26,280 --> 00:46:29,160 Speaker 1: but it's also playing into the sort of lean in 751 00:46:29,360 --> 00:46:33,799 Speaker 1: model where you know, America doesn't give working women good 752 00:46:33,840 --> 00:46:38,680 Speaker 1: maternity benefits and women are just expected to respond to 753 00:46:38,719 --> 00:46:42,680 Speaker 1: that by working harder and under worse conditions. And it's like, yeah, 754 00:46:42,760 --> 00:46:45,960 Speaker 1: you can pump milk while doing your job. You're like 755 00:46:46,040 --> 00:46:49,000 Speaker 1: a boss, and it's just, you know, it's it kind 756 00:46:49,000 --> 00:46:52,280 Speaker 1: of sucks that America that that's sort of the going 757 00:46:52,640 --> 00:46:56,719 Speaker 1: way we've decided to deal with. I would also are 758 00:46:56,760 --> 00:47:04,000 Speaker 1: you just from from my time at plub Wa magazine Pluboi, 759 00:47:04,320 --> 00:47:12,200 Speaker 1: you know Pluboi that there's like been this rise of 760 00:47:12,239 --> 00:47:16,400 Speaker 1: breastfeeding pictures, which is like incredible in one sense that 761 00:47:16,480 --> 00:47:20,360 Speaker 1: it's like there's at least the stigma is lessening for 762 00:47:20,400 --> 00:47:22,880 Speaker 1: breastfeeding in public and like having spaces where you can 763 00:47:22,920 --> 00:47:27,160 Speaker 1: do that. But also I think that, especially on Instagram, 764 00:47:27,440 --> 00:47:30,160 Speaker 1: that's the only way you can have your nip out 765 00:47:30,239 --> 00:47:34,360 Speaker 1: if you're a woman. Is they like revised their policies 766 00:47:34,440 --> 00:47:37,000 Speaker 1: this year so that you can have a female nipple 767 00:47:37,000 --> 00:47:41,360 Speaker 1: and a picture, but only if it's in a maternal context, 768 00:47:41,520 --> 00:47:45,840 Speaker 1: which is all right, right, They're like, all right, we 769 00:47:45,880 --> 00:47:48,799 Speaker 1: gotta adapt with the times. How can we get an agenda, 770 00:47:49,360 --> 00:47:54,120 Speaker 1: an anti abortion agenda into our feelings on the female nipple? 771 00:47:54,840 --> 00:47:56,799 Speaker 1: Um So I think that that has had to do 772 00:47:57,239 --> 00:48:01,560 Speaker 1: with the rising trend as well. I don't know. I 773 00:48:01,600 --> 00:48:04,520 Speaker 1: mean in one way, I you know, obviously completely support 774 00:48:05,200 --> 00:48:10,320 Speaker 1: breastfeeding and all photo shoots therein and the other way, Uh, 775 00:48:10,360 --> 00:48:14,000 Speaker 1: it does feel like, Okay, how do we de sexualize 776 00:48:14,000 --> 00:48:18,640 Speaker 1: a female nipple for the internet. Yeah, And I'm totally 777 00:48:18,680 --> 00:48:21,920 Speaker 1: mystified by this stigma about breastfeeding, Like what's the issue. 778 00:48:22,000 --> 00:48:25,560 Speaker 1: There's nothing gross about it, boobs, there's milk, like both 779 00:48:25,560 --> 00:48:29,280 Speaker 1: of those things independently are awesome. Right, I'm pro milk. 780 00:48:29,480 --> 00:48:32,320 Speaker 1: I've never seen so many breastfeeding and gone oh gross, 781 00:48:32,520 --> 00:48:35,239 Speaker 1: and I just don't get what's gross about it. Oh 782 00:48:35,320 --> 00:48:37,640 Speaker 1: I've I've I mean, I've seen other people react to 783 00:48:37,680 --> 00:48:42,080 Speaker 1: breastfeeding that way when when someone's trying to I have 784 00:48:42,360 --> 00:48:45,720 Speaker 1: the I have reacted that way. When it was that video, 785 00:48:46,200 --> 00:48:48,360 Speaker 1: it was like a news story about a mom who's 786 00:48:48,360 --> 00:48:51,480 Speaker 1: breastfeeding her like seven year old child, and that's a 787 00:48:51,520 --> 00:48:55,960 Speaker 1: different It was like it's like the last Emperor, right, yeah, 788 00:48:56,440 --> 00:48:59,640 Speaker 1: very breastfeeding your seven year old. Maybe do it in 789 00:48:59,680 --> 00:49:03,680 Speaker 1: price it. Yeah, but she couldn't have been more proud. Uh, 790 00:49:04,680 --> 00:49:07,239 Speaker 1: but yeah, this is uh, you know, you have to 791 00:49:07,280 --> 00:49:10,399 Speaker 1: deal with pump rooms, which are not always like they 792 00:49:10,400 --> 00:49:13,000 Speaker 1: don't like give you the greatest room in the in 793 00:49:13,040 --> 00:49:17,320 Speaker 1: the office. Usually it's just like they're a converted janitor's closet. 794 00:49:17,680 --> 00:49:20,279 Speaker 1: There's like, yeah, go pump your breasts in there. I'm 795 00:49:20,480 --> 00:49:22,960 Speaker 1: stick freak. I'm not going to say where in l 796 00:49:23,000 --> 00:49:25,960 Speaker 1: A there's a pumping room that doubles as a podcast studio, 797 00:49:26,080 --> 00:49:28,799 Speaker 1: but it does exist. Really Yeah, I think it's just 798 00:49:28,880 --> 00:49:30,719 Speaker 1: due to lack of space. But They're like, you can 799 00:49:30,719 --> 00:49:34,919 Speaker 1: breastfeed here, but sometimes people are airing their takes out here. 800 00:49:35,239 --> 00:49:39,720 Speaker 1: No wild wow, yeah, okay, you can tell me off. 801 00:49:38,840 --> 00:49:43,120 Speaker 1: I will. Oh it's here, Oh ship, I shouldn't realize 802 00:49:43,160 --> 00:49:46,960 Speaker 1: it's our studio. Well, guys, it's been a pleasure of 803 00:49:47,040 --> 00:49:50,239 Speaker 1: having you. Where can people find you and follow you 804 00:49:50,760 --> 00:49:54,000 Speaker 1: and hear your voices? Yeah, you can follow us on Twitter, 805 00:49:54,080 --> 00:49:57,800 Speaker 1: Instagram and all the social media's were at Daniel and 806 00:49:57,880 --> 00:50:00,320 Speaker 1: Jorge And the name of the podcast is Neal and 807 00:50:00,400 --> 00:50:05,279 Speaker 1: Jorge Explain the Universe. Yeah, what what is something that 808 00:50:05,360 --> 00:50:10,680 Speaker 1: you've been particularly excited about explaining in recent weeks. Yeah. 809 00:50:10,719 --> 00:50:13,160 Speaker 1: Some of our favorite episodes are like we talk about 810 00:50:13,560 --> 00:50:16,399 Speaker 1: is time travel possible? Like which movies get it right? 811 00:50:17,200 --> 00:50:21,160 Speaker 1: Or we talk about things like is there life on Mars? 812 00:50:21,280 --> 00:50:23,719 Speaker 1: Or we talk about what's the center of the galaxy? 813 00:50:23,800 --> 00:50:25,759 Speaker 1: Or what's inside with a black hole? All these kinds 814 00:50:25,800 --> 00:50:28,600 Speaker 1: of crazy and amazing things that happen in the universe. 815 00:50:29,040 --> 00:50:32,240 Speaker 1: The physicists know about what movie you try to touch 816 00:50:32,280 --> 00:50:35,160 Speaker 1: on and with none of the movies get time travel right. 817 00:50:35,200 --> 00:50:40,480 Speaker 1: If that was your question, is time travel totally impossible? Okay, Well, 818 00:50:40,560 --> 00:50:43,399 Speaker 1: I'm sorry spoil your enthusiasm right there, I'm just gonna 819 00:50:43,400 --> 00:50:45,759 Speaker 1: squish it. No, no, wait, but there's a caveat, right, 820 00:50:45,920 --> 00:50:48,600 Speaker 1: there's a caveat what's the caveat? Well, you can't time 821 00:50:48,680 --> 00:50:54,640 Speaker 1: travel forward, just can't time travel backwards. You can travel forward, 822 00:50:54,760 --> 00:50:58,880 Speaker 1: just not backwards. Right, Yeah, yeah, exactly cool. My favorite 823 00:50:58,880 --> 00:51:02,120 Speaker 1: time travel movie though, is Pimer. That's definitely the best one. 824 00:51:02,400 --> 00:51:05,080 Speaker 1: It's the most head twisting, hard to understand, but I 825 00:51:05,120 --> 00:51:08,440 Speaker 1: think it's actually the most accurate and creative. Sorry you 826 00:51:08,480 --> 00:51:14,040 Speaker 1: mispronounced back to the Future too, but uh, I mean 827 00:51:14,080 --> 00:51:16,120 Speaker 1: I mean a Panda to the millennials and say it's 828 00:51:16,160 --> 00:51:22,000 Speaker 1: Harry Potter three for me. Wow, Wow, such a woke choice, dude, 829 00:51:22,960 --> 00:51:30,000 Speaker 1: litt enjoying. Um, I have a tweet I really enjoyed 830 00:51:30,080 --> 00:51:32,319 Speaker 1: yesterday that made me laugh out loud. It has to 831 00:51:32,360 --> 00:51:38,479 Speaker 1: do with the data transmission of ejaculation. Is that off limits? 832 00:51:38,520 --> 00:51:41,799 Speaker 1: So apparently somebody analyze the amount of data contained in 833 00:51:41,840 --> 00:51:45,160 Speaker 1: the DNA in sperm and it turns out that every 834 00:51:45,160 --> 00:51:48,560 Speaker 1: time you ejaculate, it's about one point six terabytes of 835 00:51:48,640 --> 00:51:51,799 Speaker 1: data that comes out, and if that comes out in 836 00:51:51,800 --> 00:51:55,720 Speaker 1: about a second, it means that penises are a hundred 837 00:51:55,719 --> 00:51:59,680 Speaker 1: and twenty times faster than your home broadband internet. Wow, 838 00:52:00,040 --> 00:52:04,160 Speaker 1: well I feel sick. It has more than mine, which 839 00:52:04,200 --> 00:52:07,560 Speaker 1: is super slow. Yeah, the latency is terrible, but the 840 00:52:07,960 --> 00:52:13,040 Speaker 1: data rates pretty high. All right. Uh? Who is there 841 00:52:13,080 --> 00:52:17,680 Speaker 1: tweet you've been enjoying that won't make Jamie sick? For mine? 842 00:52:17,719 --> 00:52:20,120 Speaker 1: I picked a good friend of ours, Katie Mack. He 843 00:52:20,200 --> 00:52:23,400 Speaker 1: read this cool tweet to the day that says, um, 844 00:52:23,560 --> 00:52:26,320 Speaker 1: you are star Dust, the ashes of the Big Bang. 845 00:52:26,680 --> 00:52:32,160 Speaker 1: At every imaginable level, You're a creation of the universe, fast, beautiful, 846 00:52:32,320 --> 00:52:37,680 Speaker 1: and suffused with unbridled power. That's very a very nice 847 00:52:37,719 --> 00:52:42,120 Speaker 1: thought for people heading into the new year. Uh, Jamie 848 00:52:42,200 --> 00:52:44,960 Speaker 1: Loft us, where can people find you? You can find 849 00:52:45,000 --> 00:52:48,000 Speaker 1: me on Twitter dot com at Jamie Lofts Help. Uh. 850 00:52:48,080 --> 00:52:51,800 Speaker 1: And uh it's Instagram at Jamie Cars Superstar. Also Sandy 851 00:52:51,880 --> 00:52:56,279 Speaker 1: University dropping soon soon soon. I think we're dropping it 852 00:52:56,440 --> 00:53:01,120 Speaker 1: on Christmas Eve for for everyone's family gathering, for everybody 853 00:53:01,120 --> 00:53:04,439 Speaker 1: to sit around the hearth and uh, you know, play 854 00:53:04,440 --> 00:53:08,440 Speaker 1: it out loud for all the children. Yeah. Uh, And 855 00:53:08,520 --> 00:53:11,440 Speaker 1: is there a tweet you've been enjoying? Uh? Yeah, I 856 00:53:11,440 --> 00:53:14,239 Speaker 1: I am more going to point to an article, but 857 00:53:14,280 --> 00:53:17,560 Speaker 1: there's tweets that linked to the article. A great article 858 00:53:17,680 --> 00:53:20,799 Speaker 1: in Time Out New York featuring a comedian that I 859 00:53:20,920 --> 00:53:26,120 Speaker 1: love named Marcia bell Ski that I highly recommend checking out. 860 00:53:26,800 --> 00:53:31,960 Speaker 1: She has her whole comedic persona is built around building 861 00:53:31,960 --> 00:53:35,239 Speaker 1: a feminist militia that lives in the woods. She came 862 00:53:35,239 --> 00:53:38,840 Speaker 1: out with Handmaid's Tale musical this year that went to 863 00:53:38,840 --> 00:53:40,919 Speaker 1: the Kennedy Center and it's a great interview with her. 864 00:53:41,280 --> 00:53:43,200 Speaker 1: She is always on the right side of history. Highly 865 00:53:43,200 --> 00:53:45,960 Speaker 1: recommend checking it out. And she's at Marcia bell Ski 866 00:53:46,200 --> 00:53:49,840 Speaker 1: m A R C I A Belskies. A couple of 867 00:53:49,840 --> 00:53:54,480 Speaker 1: tweets I've been enjoying from pixelated Boat my faves. We 868 00:53:54,520 --> 00:53:57,480 Speaker 1: all should have seen this coming. And then he retweeted 869 00:53:57,480 --> 00:54:01,680 Speaker 1: a headline that he obviously photoshops. That's report Mark Zuckerberg 870 00:54:01,719 --> 00:54:04,440 Speaker 1: breaks into Facebook users homes and roots around in their 871 00:54:04,480 --> 00:54:11,680 Speaker 1: garbage like a raccoon. And then he also tweeted yesterday morning, 872 00:54:11,719 --> 00:54:15,520 Speaker 1: forcing my children to eat gingerbread men with detailed genitals 873 00:54:15,560 --> 00:54:20,840 Speaker 1: to the lids. Uh uh. And you can find me 874 00:54:20,880 --> 00:54:23,560 Speaker 1: on Twitter, Jack Underscore O'Brien. You can find us on 875 00:54:23,600 --> 00:54:26,200 Speaker 1: Twitter at Daily Zeitgeist for at the Daily Zeitgeist on 876 00:54:26,239 --> 00:54:28,840 Speaker 1: Instagram We have a Facebook fan page and a website 877 00:54:28,960 --> 00:54:32,160 Speaker 1: daily zigeist dot com, where we post our episodes and 878 00:54:32,239 --> 00:54:39,960 Speaker 1: air footnotes. Yeah, where we link off to the information 879 00:54:39,960 --> 00:54:42,239 Speaker 1: that we talked about, as well as the song we 880 00:54:42,400 --> 00:54:46,600 Speaker 1: ride out on miles What's it? What? What is here? Well, 881 00:54:46,600 --> 00:54:50,680 Speaker 1: I guess we're gonna have to ask super producers what's 882 00:54:50,880 --> 00:54:54,000 Speaker 1: we're gonna about? So happy to be here. Oh my god, 883 00:54:54,080 --> 00:54:58,440 Speaker 1: it's so great to hear you just crashing, very like 884 00:54:58,840 --> 00:55:02,560 Speaker 1: laid Man. Uh. So I want to recommend a song 885 00:55:02,719 --> 00:55:05,880 Speaker 1: from this kind of underground wrapper. Her name is Reverie. 886 00:55:06,360 --> 00:55:09,640 Speaker 1: She's from Highland Park. Shout out to super producer Nick. 887 00:55:09,960 --> 00:55:14,200 Speaker 1: Can't you remind the neighborhood? So she's from Highland Park. 888 00:55:14,360 --> 00:55:16,480 Speaker 1: I saw her actually a year ago around this time. 889 00:55:16,480 --> 00:55:19,719 Speaker 1: I went she opened for Hieroglyphics and Living Legends, and 890 00:55:19,800 --> 00:55:22,279 Speaker 1: she was really amazing. So I want to recommend this 891 00:55:22,320 --> 00:55:27,920 Speaker 1: song called black Hearts. So it's Reverie black Hearts. Enjoy right, 892 00:55:28,040 --> 00:55:30,839 Speaker 1: we will, Uh, We're gonna ride out on that. We 893 00:55:30,880 --> 00:55:34,799 Speaker 1: will be back on Monday. Uh with a whole week 894 00:55:34,960 --> 00:55:39,439 Speaker 1: full of special episodes to end of the year, and 895 00:55:39,480 --> 00:55:43,359 Speaker 1: then after that with more podcasts. How do you guys 896 00:55:46,440 --> 00:55:49,879 Speaker 1: got problems, this the president, Why don't you solve them 897 00:55:50,160 --> 00:55:53,600 Speaker 1: like you choose to cassufficient with pocisition. Look the system 898 00:55:53,680 --> 00:55:57,239 Speaker 1: that's in place, They fucking working. I've been the protassan 899 00:55:57,320 --> 00:56:01,320 Speaker 1: seeing people live like day. Where does she people smoking, tweaking, 900 00:56:01,400 --> 00:56:05,359 Speaker 1: colding percocet And it's upset and so broken, hungry as 901 00:56:05,560 --> 00:56:07,840 Speaker 1: he busted to a left and class and session. This 902 00:56:08,000 --> 00:56:11,520 Speaker 1: confession gonna make people hate me because I'm honest. My 903 00:56:11,640 --> 00:56:15,280 Speaker 1: culture was addicted to the k Guards, th j's off guard, Duva, 904 00:56:15,360 --> 00:56:18,240 Speaker 1: not the Lank, went the Wiggins and Drew Vie, the boning. 905 00:56:18,320 --> 00:56:20,839 Speaker 1: The new Deagan justice is the corruption one day gets 906 00:56:20,880 --> 00:56:21,840 Speaker 1: gonna beg in movies