1 00:00:00,160 --> 00:00:03,240 Speaker 1: Hello the Internet, and welcome to season two eleven, Episode 2 00:00:03,320 --> 00:00:07,960 Speaker 1: five of Day Guys, de production of My Heart Radio. 3 00:00:08,039 --> 00:00:09,600 Speaker 1: This is a podcast where we take a deep to 4 00:00:09,600 --> 00:00:15,640 Speaker 1: dive into America's share consciousness. And it is Friday, November. Sure, 5 00:00:15,720 --> 00:00:19,400 Speaker 1: it's the fifty eighth anniversary of the Gettysburg Address or whatever, 6 00:00:19,480 --> 00:00:26,040 Speaker 1: but more importantly it's National carbonated Beverage with day Ak 7 00:00:26,320 --> 00:00:36,880 Speaker 1: Baha black a red blows. Well, my name is Jack O'Brien, 8 00:00:36,920 --> 00:00:43,800 Speaker 1: a K may Mayo Mayo chup band. I want to 9 00:00:43,920 --> 00:00:48,880 Speaker 1: throw up. That's curtsya Ensen Jensen. Not necessarily true of me. 10 00:00:49,200 --> 00:00:52,080 Speaker 1: I don't mind a little Mayo chup, but my wife 11 00:00:52,200 --> 00:00:54,920 Speaker 1: not a fan. I'm thrilled to be joined as always 12 00:00:55,000 --> 00:00:59,960 Speaker 1: buy my co host, Mr Miles Grass. It's Grebraham Lincoln 13 00:01:00,040 --> 00:01:03,720 Speaker 1: letting you know that four blunts and seven edibles ago. 14 00:01:04,480 --> 00:01:09,920 Speaker 1: I was smacked playing play Station five. Okay, already smacked, 15 00:01:09,920 --> 00:01:13,160 Speaker 1: and then you did four blunts and yeah, how many edibles? 16 00:01:13,520 --> 00:01:17,720 Speaker 1: Seven four months and seven edibles ago. It was a 17 00:01:17,800 --> 00:01:21,640 Speaker 1: challenging time, you know. And yeah, having Ellen Scandling come 18 00:01:21,680 --> 00:01:24,360 Speaker 1: on last week that was last week, right, just kind 19 00:01:24,360 --> 00:01:27,200 Speaker 1: of got my mind going again around edibles and my 20 00:01:27,720 --> 00:01:31,080 Speaker 1: endocannabinoid system, and I was just like, I was getting 21 00:01:31,080 --> 00:01:33,280 Speaker 1: really into it. Then this article came out today saying 22 00:01:33,319 --> 00:01:37,520 Speaker 1: like cannabis like compounds are released when you do strength exercising, 23 00:01:37,520 --> 00:01:40,600 Speaker 1: like anti inflammatory proper. It's just basically the gist of 24 00:01:40,600 --> 00:01:43,959 Speaker 1: it was like lifting weights periodically for your health is 25 00:01:44,000 --> 00:01:47,040 Speaker 1: good for you. Way to bring weed. And we'll talk 26 00:01:47,080 --> 00:01:49,920 Speaker 1: about those science headlines. Yeah, everybody's trying to get on 27 00:01:49,920 --> 00:01:55,920 Speaker 1: that weed train, like math is like smoking weed, but 28 00:01:56,080 --> 00:01:59,040 Speaker 1: with numbers and well miles. We are thrilled to be 29 00:01:59,120 --> 00:02:01,880 Speaker 1: joined in our third seat by a brilliant, talented writer 30 00:02:02,080 --> 00:02:05,400 Speaker 1: whose work has appeared in Playboy, five thirty, The Hollywood Reporter, 31 00:02:05,480 --> 00:02:08,639 Speaker 1: and on the Blacklist blog. You've heard her on podcasts 32 00:02:08,680 --> 00:02:10,840 Speaker 1: like How Did This Get Made? Seen her in the 33 00:02:10,840 --> 00:02:15,359 Speaker 1: documentary The Last Blockbuster. She's the director of community relations 34 00:02:15,480 --> 00:02:20,240 Speaker 1: for the Blacklist, which celebrates outstanding and underappreciated screenwriting. And 35 00:02:20,280 --> 00:02:25,320 Speaker 1: it's just an all around legend. Mate. Please welcome Kate. Hey, 36 00:02:29,680 --> 00:02:32,200 Speaker 1: what's up? Kate? Hey? Guys, thanks for having me, Thanks 37 00:02:32,240 --> 00:02:34,880 Speaker 1: for having me back. Excited to join the two times 38 00:02:34,960 --> 00:02:38,400 Speaker 1: daily Zygeist club. That's three times you get that that 39 00:02:38,480 --> 00:02:42,480 Speaker 1: green paper weight. Very exciting I was just trying to 40 00:02:42,520 --> 00:02:44,760 Speaker 1: look up my tweet I was gonna reference because it's 41 00:02:44,760 --> 00:02:47,359 Speaker 1: weed related and I thought it was a nice dovetail, 42 00:02:47,760 --> 00:02:50,160 Speaker 1: which with what y'all were talking about with edibles. And 43 00:02:50,160 --> 00:02:53,480 Speaker 1: now I can't kind the tweet again. You hold on 44 00:02:53,520 --> 00:02:59,919 Speaker 1: to that you have totanic search while we're talking total 45 00:03:00,200 --> 00:03:06,320 Speaker 1: totally hanging out. You know, her plas into COVID. I 46 00:03:06,480 --> 00:03:09,040 Speaker 1: just moved, which is very exciting. I had been in 47 00:03:09,040 --> 00:03:11,079 Speaker 1: the same place for nine years and it was nice 48 00:03:11,120 --> 00:03:13,600 Speaker 1: to get a little change of scenery, go through all 49 00:03:13,639 --> 00:03:16,840 Speaker 1: my ship and start again. But yeah, moving is not 50 00:03:17,040 --> 00:03:21,080 Speaker 1: very fun. Who knew what they were you in? In? 51 00:03:21,120 --> 00:03:24,280 Speaker 1: Which region did you move to? I just specific as 52 00:03:24,320 --> 00:03:27,560 Speaker 1: you'd like in l A. I moved from like East 53 00:03:27,600 --> 00:03:31,600 Speaker 1: Hollywood to like Hancock Park area and found a miracle 54 00:03:31,680 --> 00:03:34,720 Speaker 1: of an apartment. Yeah, I was like, I was fully 55 00:03:34,720 --> 00:03:37,240 Speaker 1: ready to move to like North Hollywood, but I got 56 00:03:37,240 --> 00:03:40,240 Speaker 1: really lucky. Check Zillo at midnight, guys. That's my advice, 57 00:03:40,320 --> 00:03:43,640 Speaker 1: that's kat. I'm sure you didn't say North Hollywood like that, 58 00:03:43,680 --> 00:03:45,960 Speaker 1: like it's a bad place to be my ancestral homeland. 59 00:03:46,200 --> 00:03:53,960 Speaker 1: It's not badly listen, howood, I just like I don't 60 00:03:54,000 --> 00:03:57,080 Speaker 1: love driving on highways here, so like anything Valley then 61 00:03:57,200 --> 00:04:01,120 Speaker 1: like you are dedicated to highways. I was happy to 62 00:04:01,200 --> 00:04:04,240 Speaker 1: not have to make that change in my life. But no, 63 00:04:04,560 --> 00:04:06,200 Speaker 1: I go to North Hollywood all the time. I have 64 00:04:06,240 --> 00:04:08,600 Speaker 1: a bunch of friends who lives like North. I would 65 00:04:08,680 --> 00:04:11,200 Speaker 1: name everything in North Hollywood go. I don't believe you 66 00:04:11,360 --> 00:04:18,080 Speaker 1: exactly could fire Pizza Lakers right there. Okay, you know, 67 00:04:18,240 --> 00:04:20,520 Speaker 1: my favorite video store used to be in North Hollywood, 68 00:04:20,520 --> 00:04:23,760 Speaker 1: but they I did love Odyssey. I have a bunch 69 00:04:23,800 --> 00:04:26,120 Speaker 1: of VHS tapes from one Odyssey closed but right down 70 00:04:26,160 --> 00:04:29,080 Speaker 1: the street from them, Eddie Brand Saturday Mattinee. That. Yeah, 71 00:04:30,839 --> 00:04:33,040 Speaker 1: that place is wild. I know. I said, I grew 72 00:04:33,120 --> 00:04:35,920 Speaker 1: up like a block from Odyssey, like as a kid, 73 00:04:35,960 --> 00:04:38,000 Speaker 1: and I'll always be like, man, she's not a blockbuster. 74 00:04:38,120 --> 00:04:40,640 Speaker 1: We go to Jankie Odyssey where the porno is in 75 00:04:40,680 --> 00:04:42,919 Speaker 1: the front half of the store and you get to 76 00:04:42,960 --> 00:04:45,680 Speaker 1: walk by it as a kid. Yeah, when they were 77 00:04:45,720 --> 00:04:48,280 Speaker 1: going out of business, their whole back room was just 78 00:04:48,400 --> 00:04:54,240 Speaker 1: like thousands of pornos. It was like, yeah, I bought 79 00:04:54,279 --> 00:04:57,080 Speaker 1: my first porno tape out Odyssey Video like when I 80 00:04:57,120 --> 00:04:59,320 Speaker 1: was like seventeen or something like just at the age 81 00:04:59,320 --> 00:05:03,479 Speaker 1: where they're like, don't you're probably eighteen? Yeah. I remember 82 00:05:03,480 --> 00:05:05,560 Speaker 1: being in there and I was like it was like 83 00:05:05,640 --> 00:05:08,120 Speaker 1: fucking cheesecake factory menu. I was like, I don't even 84 00:05:08,120 --> 00:05:11,080 Speaker 1: know where to can I like almost, I'm not joking, 85 00:05:11,080 --> 00:05:13,200 Speaker 1: Like I just closed my eyes and like waved my 86 00:05:13,279 --> 00:05:17,360 Speaker 1: hand at this show like this one, I will take 87 00:05:17,480 --> 00:05:22,640 Speaker 1: these shout out to gauge. That's a real generational defining line, 88 00:05:22,680 --> 00:05:25,040 Speaker 1: like have you ever watched porn on a VHS tape 89 00:05:25,160 --> 00:05:32,280 Speaker 1: or media? Have you ever paid paid actual American money? 90 00:05:32,440 --> 00:05:35,520 Speaker 1: There's yah because everything these kids don't know. They can 91 00:05:35,560 --> 00:05:37,599 Speaker 1: get their weed delivered, They don't have to go to 92 00:05:37,680 --> 00:05:39,919 Speaker 1: a right aid parking lot like I used to post 93 00:05:40,000 --> 00:05:42,479 Speaker 1: up at and just wait for me to flash my hazards. 94 00:05:42,600 --> 00:05:45,880 Speaker 1: Or now they can summon pornography on their cell phones 95 00:05:46,000 --> 00:05:49,440 Speaker 1: rather than waiting like four hours for a two megabyte 96 00:05:49,560 --> 00:05:54,920 Speaker 1: MPEG video to download. A different time. You do it 97 00:05:54,960 --> 00:05:57,279 Speaker 1: for y'all, We do it for you. The youth is 98 00:05:57,320 --> 00:05:59,960 Speaker 1: there like seasonality with the Blacklist, Like do you guys 99 00:06:00,040 --> 00:06:03,720 Speaker 1: have the Blacklist coming up? We do. We will have 100 00:06:03,760 --> 00:06:07,560 Speaker 1: the annual Blacklist coming up in December. I cannot spoil 101 00:06:07,640 --> 00:06:10,520 Speaker 1: the date yet, but they's coming soon and I believe 102 00:06:10,560 --> 00:06:12,800 Speaker 1: this is going to be if my math is right. 103 00:06:12,880 --> 00:06:17,599 Speaker 1: Number seven team, which is really almost of legal voting age, 104 00:06:17,680 --> 00:06:25,839 Speaker 1: the Black Clows. Yeah, could buy a porno at honestly. Yeah. 105 00:06:25,920 --> 00:06:28,640 Speaker 1: They did have that popcorn machine though that before like 106 00:06:28,920 --> 00:06:31,200 Speaker 1: health code laws. You're like, yeah, yeah, I'm sure this 107 00:06:31,240 --> 00:06:35,200 Speaker 1: place right, but this pop serve yourself popcorn machine by 108 00:06:35,200 --> 00:06:40,440 Speaker 1: the adult video sections they're handing it. Yeah, oh yeah. 109 00:06:40,600 --> 00:06:44,280 Speaker 1: I feel like the person behind the behind the desk 110 00:06:44,360 --> 00:06:47,400 Speaker 1: at the video store was probably like, look, man, like 111 00:06:47,480 --> 00:06:50,359 Speaker 1: I just want you to shave off that mustache that 112 00:06:50,400 --> 00:06:52,960 Speaker 1: you've been growing. Like, so, I'm gonna let you do this, 113 00:06:53,080 --> 00:06:54,760 Speaker 1: but just you have to promise me to go home 114 00:06:54,800 --> 00:06:56,719 Speaker 1: and shave that ship. He's like, look, man, if you 115 00:06:56,720 --> 00:06:58,560 Speaker 1: shave it, come back in, I'll remember you and I'll 116 00:06:58,560 --> 00:07:00,520 Speaker 1: sell it to you. Then. Oh man, And I still 117 00:07:00,560 --> 00:07:03,800 Speaker 1: remember my first mustache. It was that thing was look 118 00:07:03,839 --> 00:07:07,719 Speaker 1: at my mustache to say, I remember my first mustache. 119 00:07:08,160 --> 00:07:11,880 Speaker 1: You're looking straight up, I remember my first mustache, Miles. 120 00:07:11,960 --> 00:07:14,960 Speaker 1: My eyes fogged over as I said I remember my 121 00:07:15,040 --> 00:07:18,360 Speaker 1: first mustache, and I looked wistfully up at the clouds. 122 00:07:18,720 --> 00:07:22,200 Speaker 1: You worked back into time and body of it. But 123 00:07:22,280 --> 00:07:25,960 Speaker 1: we are both mustachioed men right now. You know, I'm 124 00:07:25,960 --> 00:07:29,320 Speaker 1: sure people can hear it in our voice. But oh yeah, yeah, okay. 125 00:07:29,440 --> 00:07:31,880 Speaker 1: Is it like tax season for an accountant? Is it 126 00:07:32,000 --> 00:07:34,760 Speaker 1: like that? Wilder? Are you all pretty like locked in 127 00:07:34,800 --> 00:07:37,840 Speaker 1: on your And also please let for people who don't 128 00:07:37,880 --> 00:07:40,080 Speaker 1: know about the black List, please tell them about the 129 00:07:40,080 --> 00:07:43,960 Speaker 1: Blacklist because that's a very infular like Hollywood thing. Yeah. 130 00:07:44,400 --> 00:07:47,200 Speaker 1: It started in two thousand five by my boss, Franklin 131 00:07:47,280 --> 00:07:51,000 Speaker 1: Leonard as an annual survey of the most like screenplays 132 00:07:51,040 --> 00:07:53,640 Speaker 1: in town. The number two in the number three scripts 133 00:07:53,640 --> 00:07:55,880 Speaker 1: on the first Blacklist were Juno and Lars and The 134 00:07:55,920 --> 00:07:58,040 Speaker 1: Real Girl, So that was like kind of the launching 135 00:07:58,080 --> 00:08:00,920 Speaker 1: pad for writers. Yeah, and over the years it's just 136 00:08:00,960 --> 00:08:03,480 Speaker 1: become a really great sort of collection at the end 137 00:08:03,520 --> 00:08:05,600 Speaker 1: of the year of really great screenplays that are not 138 00:08:05,640 --> 00:08:09,000 Speaker 1: being produced. Tons of writers have come through, something like 139 00:08:09,240 --> 00:08:12,840 Speaker 1: you know, twenty five Oscar wins for Blacklist scripts, a 140 00:08:12,880 --> 00:08:16,239 Speaker 1: couple billion dollars in global box office, which is pretty cool. 141 00:08:16,440 --> 00:08:19,640 Speaker 1: But we also have a two sided marketplace that anybody 142 00:08:19,680 --> 00:08:22,080 Speaker 1: anywhere in the world with an English language screenplay or 143 00:08:22,120 --> 00:08:24,840 Speaker 1: pilot can upload a script and make it available to 144 00:08:25,000 --> 00:08:29,000 Speaker 1: thousands of industry members, and we've had countless writers get signed, 145 00:08:29,200 --> 00:08:32,040 Speaker 1: you know, set their scripts up, get movies made, make 146 00:08:32,080 --> 00:08:35,160 Speaker 1: other sort of official industry connections that have have been 147 00:08:35,160 --> 00:08:38,000 Speaker 1: a springboard. And we take very little credit for that stuff, 148 00:08:38,040 --> 00:08:39,800 Speaker 1: you know it we're just sort of the conduit for 149 00:08:39,840 --> 00:08:42,880 Speaker 1: those conversations to happen. But it's really cool. I mean, 150 00:08:42,920 --> 00:08:46,680 Speaker 1: you know, we also do some really hefty screenwriter's lab programs. 151 00:08:46,720 --> 00:08:48,880 Speaker 1: My colleague Megan Holburn does a lot of those. But 152 00:08:49,000 --> 00:08:50,640 Speaker 1: that's one of the best parts of the job, is 153 00:08:50,679 --> 00:08:53,400 Speaker 1: like seeing folks who did the screenwriter's lab five or 154 00:08:53,440 --> 00:08:57,160 Speaker 1: six years ago, like huge studio gigs and things like that. Yeah, 155 00:08:57,480 --> 00:09:00,440 Speaker 1: we just you know, I think Franklin realized early on 156 00:09:00,480 --> 00:09:02,800 Speaker 1: in his tenure in the industry that like, writers are 157 00:09:02,920 --> 00:09:05,680 Speaker 1: very overlooked by the business and you know, it's the 158 00:09:05,720 --> 00:09:08,080 Speaker 1: first person who has the idea most of the time 159 00:09:08,120 --> 00:09:10,920 Speaker 1: to make the movie, and you know, needed a sense 160 00:09:10,960 --> 00:09:13,120 Speaker 1: of community. A lot of times we would do like 161 00:09:13,160 --> 00:09:15,120 Speaker 1: dinners with screenwriters a couple of years ago, and it 162 00:09:15,160 --> 00:09:17,480 Speaker 1: would be shocking, like, oh, I rewrote one of your 163 00:09:17,559 --> 00:09:22,160 Speaker 1: drafts and we've never met in person. Yeah, so It's 164 00:09:22,200 --> 00:09:24,640 Speaker 1: been really cool and watch that sort of community developed. 165 00:09:24,679 --> 00:09:28,160 Speaker 1: I've been working there since somehow and we have grown 166 00:09:28,200 --> 00:09:30,559 Speaker 1: a lot in that time. But yeah, gonna hang out 167 00:09:30,559 --> 00:09:33,120 Speaker 1: with writers and see them do their best work is 168 00:09:33,120 --> 00:09:35,720 Speaker 1: is a pretty nice thing. What was the last big 169 00:09:35,760 --> 00:09:39,559 Speaker 1: thing that came off the Blacklist? King Richard comes out today, 170 00:09:39,679 --> 00:09:41,920 Speaker 1: and that was the number two script on the Blacklist 171 00:09:41,960 --> 00:09:46,400 Speaker 1: in nineteen I think, so that's that's big doings. I'm 172 00:09:46,400 --> 00:09:48,839 Speaker 1: trying to think of some of I was like, when 173 00:09:48,880 --> 00:09:50,840 Speaker 1: I first saw the poster for that, I was like, 174 00:09:50,880 --> 00:09:52,680 Speaker 1: all right, Like I think I have a sense of 175 00:09:52,720 --> 00:09:54,920 Speaker 1: what kind of movie this is. And then I was 176 00:09:55,160 --> 00:09:57,920 Speaker 1: at a theater I saw the trailer and I was 177 00:09:58,000 --> 00:10:07,000 Speaker 1: like getting tough. You're like, yeah, why are watching this? 178 00:10:07,200 --> 00:10:11,720 Speaker 1: Like I don't know what love is. One of my 179 00:10:11,760 --> 00:10:15,440 Speaker 1: favorite Blacklist stories though, is that Succession sort of started 180 00:10:15,440 --> 00:10:18,760 Speaker 1: as a Blacklist script. Jesse Armstrong had written a script 181 00:10:18,800 --> 00:10:21,160 Speaker 1: I believe about the Murdoch family that was on the 182 00:10:21,160 --> 00:10:25,000 Speaker 1: Blacklist that sort of morphed into Succession, which is exciting. 183 00:10:25,120 --> 00:10:27,680 Speaker 1: So thanks for writing that, Jesse Armstrong. We're all better 184 00:10:27,760 --> 00:10:31,920 Speaker 1: for it. And it just has to be like unproduced 185 00:10:32,000 --> 00:10:35,559 Speaker 1: or like unpurchased to make it into the not necessarily 186 00:10:35,640 --> 00:10:39,200 Speaker 1: unpurchased just the first day of principal photography cannot have 187 00:10:39,280 --> 00:10:43,040 Speaker 1: begun if the script makes the Blacklist, like I'm pretty sure, 188 00:10:43,240 --> 00:10:45,600 Speaker 1: like when King Richard was on the Blacklist, like Will 189 00:10:45,640 --> 00:10:49,319 Speaker 1: Smith was already attached to star, or like was announced 190 00:10:49,320 --> 00:10:51,680 Speaker 1: a couple of days later. So yeah, things are on 191 00:10:51,960 --> 00:10:54,640 Speaker 1: in various stages of production. But you know, to that 192 00:10:54,640 --> 00:10:56,960 Speaker 1: that being said, there are still many many Blacklist scripts 193 00:10:57,000 --> 00:11:00,240 Speaker 1: that have have never gotten made. Industry folks who want 194 00:11:00,280 --> 00:11:02,679 Speaker 1: some good material go back to the old Blacklist and 195 00:11:02,720 --> 00:11:05,840 Speaker 1: see what's still available. But yeah, it's been super cool 196 00:11:05,880 --> 00:11:08,040 Speaker 1: to like sort of watch all those folks evolve and 197 00:11:08,080 --> 00:11:11,000 Speaker 1: watch the movies enter the mainstream and just you know, 198 00:11:11,480 --> 00:11:14,440 Speaker 1: become a part of the conversation. Yeah. I was just 199 00:11:14,480 --> 00:11:17,280 Speaker 1: trying to figure out if I should submit my screenplay 200 00:11:17,320 --> 00:11:20,040 Speaker 1: that has Will Smith attached already, But it sounds like 201 00:11:20,080 --> 00:11:23,000 Speaker 1: I'm good to do that. So yeah, you know, just 202 00:11:23,000 --> 00:11:24,920 Speaker 1: just take it to HBO. Max. We'll get you set 203 00:11:24,960 --> 00:11:27,880 Speaker 1: up just like real quick. Yeah, we know some people 204 00:11:27,880 --> 00:11:30,000 Speaker 1: over there, be pretty quick. Okay, we're gonna get to 205 00:11:30,040 --> 00:11:31,680 Speaker 1: know you a little bit better in a moment First, 206 00:11:31,720 --> 00:11:33,560 Speaker 1: a few of the things we're talking about. We have 207 00:11:33,600 --> 00:11:37,920 Speaker 1: an update on the story about Christie Nomes daughter's licensing 208 00:11:38,160 --> 00:11:45,600 Speaker 1: attempts to be a licensed real estate agent appraiser. Okay, sorry, 209 00:11:45,760 --> 00:11:48,320 Speaker 1: it's like and also really fucking unfair, how hard it is. 210 00:11:49,400 --> 00:11:51,840 Speaker 1: We're gonna talk about a letter grades and whether those 211 00:11:51,880 --> 00:11:55,120 Speaker 1: are gonna go away. We're gonna talk about red wine 212 00:11:55,360 --> 00:11:59,160 Speaker 1: being like weed according to according to this study, as 213 00:11:59,200 --> 00:12:04,920 Speaker 1: well as lifting weights, as well as just existing by 214 00:12:04,960 --> 00:12:09,760 Speaker 1: our product. It is like we'd we'd like property all 215 00:12:09,880 --> 00:12:12,040 Speaker 1: that plenty more. But first, Kate, we do like to 216 00:12:12,080 --> 00:12:15,080 Speaker 1: ask eric guests, what is something from your search history? 217 00:12:15,480 --> 00:12:17,400 Speaker 1: I learned a fun fact this week. I grew up 218 00:12:17,480 --> 00:12:21,160 Speaker 1: in Cincinnati, Ohio, and I was doing some just like 219 00:12:21,400 --> 00:12:25,480 Speaker 1: general spooky Cincinnati googling, and I learned that the very 220 00:12:25,520 --> 00:12:28,720 Speaker 1: first commercial haunted house was in Deer Park, Ohio, which 221 00:12:28,760 --> 00:12:31,120 Speaker 1: is where my dad grew up, and started in nineteen 222 00:12:31,240 --> 00:12:35,440 Speaker 1: seventy as part of the Junior Chamber of Commerce Junior 223 00:12:35,559 --> 00:12:41,200 Speaker 1: Chamber of Commerce. But they were called the j CS 224 00:12:41,360 --> 00:12:44,360 Speaker 1: for j C Junior Chamber, and they would just like 225 00:12:44,440 --> 00:12:47,920 Speaker 1: find spooky abandoned houses and make these like really crazy 226 00:12:48,040 --> 00:12:51,720 Speaker 1: themed rooms before the time of leg spirit Halloween stories, 227 00:12:51,840 --> 00:12:55,080 Speaker 1: so like homemade props and things like that. But you know, 228 00:12:55,240 --> 00:12:57,240 Speaker 1: I grew up in Cincinnati. My whole life in Cincinnati 229 00:12:57,280 --> 00:12:58,800 Speaker 1: is kind of a spooky town. But I had no 230 00:12:58,920 --> 00:13:01,680 Speaker 1: idea that like the sort of haunted houses we know 231 00:13:01,760 --> 00:13:04,679 Speaker 1: it today began there. And I've been fascinated by this 232 00:13:04,760 --> 00:13:07,079 Speaker 1: all week. Also, the guy who started it is this 233 00:13:07,160 --> 00:13:11,520 Speaker 1: like local gardening expert in Cincinnati. He's on like, you know, 234 00:13:11,679 --> 00:13:14,200 Speaker 1: the Grandma radio stations and you're like, how did you 235 00:13:14,240 --> 00:13:17,720 Speaker 1: come up with haunted houses? My guy like what? Yeah? 236 00:13:18,000 --> 00:13:20,400 Speaker 1: So the like so in the sense that the earliest 237 00:13:20,520 --> 00:13:25,040 Speaker 1: sort of documented how haunted house type things were people 238 00:13:25,080 --> 00:13:28,320 Speaker 1: just setting up like grandiose displays in rooms and like, 239 00:13:28,360 --> 00:13:30,840 Speaker 1: and then that kind of evolved to what we have 240 00:13:31,040 --> 00:13:35,200 Speaker 1: now with our characters and mazes and whatnot. Yeah, yeah, 241 00:13:35,240 --> 00:13:37,200 Speaker 1: I read that. It was like initially like there were 242 00:13:37,240 --> 00:13:39,480 Speaker 1: some earlier haunted houses that were like sort of like 243 00:13:39,600 --> 00:13:42,320 Speaker 1: one off things or like in the Great Depression, I 244 00:13:42,360 --> 00:13:45,000 Speaker 1: guess there are a bunch of rascally boys out on 245 00:13:45,040 --> 00:13:47,480 Speaker 1: the streets on Halloween nights, so they're like, we need 246 00:13:47,520 --> 00:13:50,160 Speaker 1: to keep them indoors, so people would like turn their 247 00:13:50,200 --> 00:13:52,760 Speaker 1: basements into haunted houses. But yeah, the first sort of 248 00:13:52,800 --> 00:13:56,280 Speaker 1: like let's charge admission that, let's make this an event, 249 00:13:56,520 --> 00:13:59,200 Speaker 1: like you know, let's make this like a destination. Yeah, 250 00:13:59,280 --> 00:14:04,080 Speaker 1: just little Deer Park, Ohio. Yeah, wild times. I lived 251 00:14:04,120 --> 00:14:06,760 Speaker 1: in a Dayton for five years, and I remember, like 252 00:14:07,200 --> 00:14:10,000 Speaker 1: I have a memory where my friends and I were going. 253 00:14:10,600 --> 00:14:13,439 Speaker 1: We're like planning to go to Cincinnati to go to 254 00:14:13,480 --> 00:14:15,360 Speaker 1: like this haunted house or I think it was a 255 00:14:15,440 --> 00:14:19,120 Speaker 1: haunted hospital there, Like it has multiple floors, it's terrifying, 256 00:14:19,560 --> 00:14:22,840 Speaker 1: and then I like babied out and was like, you guys, 257 00:14:22,880 --> 00:14:26,440 Speaker 1: I just I don't think we should do it. Exactly 258 00:14:26,520 --> 00:14:29,800 Speaker 1: what you're talking about. Yeah, this is like a local legend. 259 00:14:29,880 --> 00:14:32,840 Speaker 1: Was like, if you survive every floor, you get like 260 00:14:33,200 --> 00:14:35,880 Speaker 1: the top floors the scariest, but you gotta survive. Sign 261 00:14:35,880 --> 00:14:39,760 Speaker 1: a waiver if anything happens to you. Yeah. I remember 262 00:14:39,760 --> 00:14:42,320 Speaker 1: we were in the van getting ready to go, and 263 00:14:42,800 --> 00:14:45,200 Speaker 1: I like came up with an excuse for why I 264 00:14:45,560 --> 00:14:48,080 Speaker 1: couldn't go, And I think I like the whole trip. 265 00:14:49,080 --> 00:14:51,240 Speaker 1: I don't blame you. I love horror movies that I 266 00:14:51,280 --> 00:14:53,440 Speaker 1: do not funk with haunted houses. I do not want 267 00:14:53,480 --> 00:14:55,840 Speaker 1: to be touched. I don't want anybody in my face. 268 00:14:55,960 --> 00:14:59,000 Speaker 1: Like that's a whole different level. Yeah, that's why I was. 269 00:14:59,040 --> 00:15:00,520 Speaker 1: I think the last time we talked about it, I'll 270 00:15:00,560 --> 00:15:04,160 Speaker 1: walk through that thing screaming, trying to be more scary 271 00:15:04,160 --> 00:15:11,640 Speaker 1: to the characters, just like wild, this is my place, 272 00:15:11,880 --> 00:15:15,960 Speaker 1: and I'm just like petrifying. So I don't do It's 273 00:15:15,960 --> 00:15:17,720 Speaker 1: not good for my blood pressure. By the way, the 274 00:15:17,880 --> 00:15:20,400 Speaker 1: people should know, just so that in case we have 275 00:15:20,520 --> 00:15:22,400 Speaker 1: listeners who like to picture things in their mind that 276 00:15:22,520 --> 00:15:26,240 Speaker 1: Miles is now a standing podcaster and so we get 277 00:15:26,320 --> 00:15:28,640 Speaker 1: like when he was just doing that, he paced around 278 00:15:28,720 --> 00:15:32,960 Speaker 1: and was flexing on imaginary the stage. Yeah, this is fun. Man, 279 00:15:34,520 --> 00:15:39,400 Speaker 1: like Donald Trump in a debate. Yeah, what is something 280 00:15:39,440 --> 00:15:42,520 Speaker 1: you think is overrated? Kate? Oh boy, I'm gonna get 281 00:15:42,520 --> 00:15:44,480 Speaker 1: a lot of haters for this one, but I gotta 282 00:15:44,560 --> 00:15:48,560 Speaker 1: do it because it's reasonally appropriate. Um. I think Christmas 283 00:15:48,600 --> 00:15:51,720 Speaker 1: music is wild overrated, and I think people who start 284 00:15:51,800 --> 00:15:55,520 Speaker 1: listening to it like in mid October, like that's a lot. 285 00:15:55,600 --> 00:15:58,240 Speaker 1: It's a lot. I'm not saying all Christmas music is bad. 286 00:15:58,360 --> 00:16:00,680 Speaker 1: I'm not saying Christmas music shouldn't you played during the 287 00:16:00,760 --> 00:16:04,640 Speaker 1: Christmas season, but when there are like three radio stations 288 00:16:04,640 --> 00:16:08,000 Speaker 1: dedicated to Christmas music, like November one, that is a 289 00:16:08,040 --> 00:16:12,840 Speaker 1: little bit of overkill, guys, I would say, yeah, it is. 290 00:16:12,920 --> 00:16:16,400 Speaker 1: Really it's a strange phenomenon that like for a month, 291 00:16:16,680 --> 00:16:19,600 Speaker 1: Like that's how powerful Christmas is that for a month 292 00:16:19,640 --> 00:16:22,400 Speaker 1: we all just listened to like mediocre music and it's 293 00:16:22,440 --> 00:16:25,840 Speaker 1: like the same every year or just yeah, but it is. 294 00:16:25,920 --> 00:16:29,080 Speaker 1: I mean it's all about nostalgia, right, So yeah, I 295 00:16:29,080 --> 00:16:31,880 Speaker 1: think that's what's wild. Yeah, it's like it's an emotional 296 00:16:32,080 --> 00:16:35,200 Speaker 1: safe space for a lot of American people. Like, but 297 00:16:35,280 --> 00:16:37,800 Speaker 1: this time of year was great because in school would 298 00:16:37,800 --> 00:16:40,080 Speaker 1: be out and I could stay home and there were 299 00:16:40,160 --> 00:16:42,240 Speaker 1: gifts and then I saw a family and then I 300 00:16:42,240 --> 00:16:43,800 Speaker 1: didn't have to go to school. And I feel like 301 00:16:43,840 --> 00:16:46,040 Speaker 1: a lot of my because I'm one of these people, 302 00:16:46,400 --> 00:16:50,840 Speaker 1: like I will turn into a straight up Karen starting 303 00:16:50,840 --> 00:16:53,640 Speaker 1: December one, Like I trying to wait or maybe right 304 00:16:53,680 --> 00:16:57,920 Speaker 1: after that's reasonable though, after Thanksgiving, but the like people 305 00:16:57,920 --> 00:17:00,800 Speaker 1: are listening to Christmas music in middlec Over, I'm just like, 306 00:17:00,880 --> 00:17:03,960 Speaker 1: that's such a long time and too much of a 307 00:17:04,080 --> 00:17:07,000 Speaker 1: thing you like is bad, like it will become meaningless 308 00:17:07,160 --> 00:17:09,639 Speaker 1: because I only I really like you're saying, there are 309 00:17:09,640 --> 00:17:13,440 Speaker 1: only like sixteen songs I really like, and you will 310 00:17:13,480 --> 00:17:16,800 Speaker 1: go through them like songs back then were like ninety seconds, 311 00:17:16,800 --> 00:17:18,800 Speaker 1: So you listen to all of them like forty minutes, 312 00:17:18,840 --> 00:17:23,480 Speaker 1: you're like, fuck, man, another round that playlist single about 313 00:17:23,560 --> 00:17:26,480 Speaker 1: rock again but again. The thing I do is I'll 314 00:17:26,480 --> 00:17:30,520 Speaker 1: put on like piano covers, like piano jazz covers of 315 00:17:30,600 --> 00:17:35,480 Speaker 1: like Christmas standards at night to make my house feel 316 00:17:35,560 --> 00:17:38,199 Speaker 1: like a hotel lobby that I'm not supposed to be in. 317 00:17:38,520 --> 00:17:41,159 Speaker 1: M hmm, yeah, I like that. Do you have like 318 00:17:41,240 --> 00:17:44,440 Speaker 1: some cinnamon like pot pourri that you can put there? 319 00:17:44,720 --> 00:17:48,000 Speaker 1: Yea to some some milling spices. You know what I mean. 320 00:17:48,000 --> 00:17:49,719 Speaker 1: You've got that milling spices. I got that I have. 321 00:17:50,040 --> 00:17:53,040 Speaker 1: I have my woodwick Yankee candles. You know what I mean? 322 00:17:53,080 --> 00:17:56,280 Speaker 1: With that clock, I'm telling I'm not joking about this, 323 00:17:56,480 --> 00:18:00,359 Speaker 1: the vibe setting I do. I'm the big austere glass 324 00:18:00,400 --> 00:18:03,840 Speaker 1: like non cheerful. I'm just trying to picture like a 325 00:18:03,960 --> 00:18:07,000 Speaker 1: fancy hotel at Christmas. I feel like they have like 326 00:18:07,359 --> 00:18:14,520 Speaker 1: two giant glass fucking Christmas tree or something so many 327 00:18:14,680 --> 00:18:17,520 Speaker 1: orbs or like a like a gigantic what looks like 328 00:18:17,520 --> 00:18:20,640 Speaker 1: a scientific glass flask, which is meant to like evoke 329 00:18:20,720 --> 00:18:23,360 Speaker 1: a Christmas tree with like ribbon. It's like very minimal, 330 00:18:23,480 --> 00:18:27,760 Speaker 1: it's very fancy. I do feel like the early, like 331 00:18:27,800 --> 00:18:30,760 Speaker 1: the fact that Christmas is getting earlier and earlier is 332 00:18:31,320 --> 00:18:35,800 Speaker 1: probably connected to the overall like infantilization of America, because 333 00:18:35,840 --> 00:18:38,640 Speaker 1: like I hadn't really made the connection until like now 334 00:18:38,760 --> 00:18:41,080 Speaker 1: I have a three year old who starts asking about 335 00:18:41,119 --> 00:18:44,000 Speaker 1: Christmas and like August, and so I feel like it's 336 00:18:44,040 --> 00:18:48,879 Speaker 1: just yeah, yeah, like it's you know, the little baby 337 00:18:48,920 --> 00:18:52,040 Speaker 1: and all of us being like I want Christmas now 338 00:18:53,040 --> 00:18:55,280 Speaker 1: exactly because I'm like, what am I going to deal 339 00:18:55,320 --> 00:18:59,879 Speaker 1: with my thirty seven year old reality? Exactly? I'm fucking nine, 340 00:19:01,119 --> 00:19:03,920 Speaker 1: let's go. I was just talking to my therapist about 341 00:19:03,960 --> 00:19:06,520 Speaker 1: regression and the fact that like so many of us 342 00:19:06,560 --> 00:19:09,320 Speaker 1: have for grass during the pandemic, for better and worse, 343 00:19:09,440 --> 00:19:11,520 Speaker 1: and like I definitely think that's a huge part of 344 00:19:11,560 --> 00:19:14,320 Speaker 1: the Christmas thing getting earlier and earlier. It's like the 345 00:19:14,359 --> 00:19:17,040 Speaker 1: world is so bad, people are just looking for like 346 00:19:17,200 --> 00:19:20,640 Speaker 1: little slivers of comfort, and Christmas music is one of them. 347 00:19:20,920 --> 00:19:23,600 Speaker 1: So I don't want to begrudge anybody's Christmas music listening. 348 00:19:23,680 --> 00:19:26,440 Speaker 1: I just like maybe not for you, but for you 349 00:19:26,960 --> 00:19:31,640 Speaker 1: that I will say. The real racket is a musician 350 00:19:31,760 --> 00:19:34,959 Speaker 1: is like right that Christmas song as we see Mariah Carey, 351 00:19:35,119 --> 00:19:37,600 Speaker 1: like you make a bank for the rest of your 352 00:19:37,640 --> 00:19:41,199 Speaker 1: life as well your grandchildren, Like yeah, right, can you 353 00:19:41,240 --> 00:19:44,399 Speaker 1: imagine like the like you know, like how Anderson Cooper 354 00:19:44,440 --> 00:19:46,720 Speaker 1: is like a Vanderbilt and like there's someone the equivalent 355 00:19:46,720 --> 00:19:50,160 Speaker 1: of like Mariah Carey's descendants to like they descend from that. 356 00:19:50,359 --> 00:19:54,520 Speaker 1: All I want for Christmas money generational wealth, that new money, yeah, 357 00:19:55,840 --> 00:19:57,800 Speaker 1: or who knows if they're smart about it, it's old 358 00:19:57,800 --> 00:20:02,159 Speaker 1: money by the time. It's like, oh man, if that 359 00:20:02,200 --> 00:20:06,000 Speaker 1: hearts around, what's What's something that you think is underrated? 360 00:20:06,440 --> 00:20:08,439 Speaker 1: This has been in my crowd this week because my 361 00:20:08,520 --> 00:20:11,119 Speaker 1: friend General Hands just did a podcast with one of 362 00:20:11,160 --> 00:20:14,040 Speaker 1: the co creators, And I feel like the internet has 363 00:20:14,040 --> 00:20:16,960 Speaker 1: been super thirsty for lee Pace recently because lee Pace 364 00:20:17,040 --> 00:20:19,600 Speaker 1: has been given us a lot of really great thirst traps. 365 00:20:19,600 --> 00:20:22,119 Speaker 1: But I still find people all the time who have 366 00:20:22,200 --> 00:20:24,800 Speaker 1: either never heard of or never watched Hot and Catch Fire, 367 00:20:25,200 --> 00:20:27,320 Speaker 1: which I think is like the greatest show of the 368 00:20:27,400 --> 00:20:30,560 Speaker 1: sort of golden age of TV. I don't know, like 369 00:20:30,840 --> 00:20:34,679 Speaker 1: I you know, the sort of founding of computers and 370 00:20:34,720 --> 00:20:36,560 Speaker 1: the Internet as we know it today is like not 371 00:20:36,720 --> 00:20:39,919 Speaker 1: a thing that I'm like particularly interested in in the 372 00:20:40,000 --> 00:20:42,680 Speaker 1: same way that like, you know, Baltimore City politics and 373 00:20:42,720 --> 00:20:45,159 Speaker 1: the Wire is not something I thought I'd be interested in. 374 00:20:45,200 --> 00:20:48,040 Speaker 1: But the writing on Home Catch Fire is just unbelievable, 375 00:20:48,480 --> 00:20:50,320 Speaker 1: and it does a really cool bait and switch. From 376 00:20:50,359 --> 00:20:52,119 Speaker 1: season one to season two. You think it's going to 377 00:20:52,240 --> 00:20:54,359 Speaker 1: be like another one of these sort of like bad 378 00:20:54,480 --> 00:20:58,760 Speaker 1: white Man stories and his sort of like redemption, and 379 00:20:58,800 --> 00:21:00,280 Speaker 1: then they just pulled the rug out for under you 380 00:21:00,280 --> 00:21:02,119 Speaker 1: and if it comes about the two female leads who 381 00:21:02,119 --> 00:21:06,720 Speaker 1: are Carrie Busche and oh my god, what Mackenzie Why 382 00:21:06,720 --> 00:21:09,960 Speaker 1: did her name just fallout? Mackenzie Davis? Thank you, yeah, 383 00:21:10,119 --> 00:21:12,240 Speaker 1: And they sort of become the leads of the show 384 00:21:12,320 --> 00:21:14,960 Speaker 1: and it becomes about sort of like women in business 385 00:21:15,040 --> 00:21:17,679 Speaker 1: during a very tumultuous time in the late eighties and 386 00:21:17,720 --> 00:21:22,159 Speaker 1: early nineties. Incredible music choices. One of the most elegantly 387 00:21:22,359 --> 00:21:24,600 Speaker 1: produced shows that has like a bunch of massive time 388 00:21:24,680 --> 00:21:26,840 Speaker 1: jumps in it, which is really cool to like see 389 00:21:26,960 --> 00:21:30,080 Speaker 1: characters ten years after we met them. I don't know, man, 390 00:21:30,240 --> 00:21:32,080 Speaker 1: It's just one of the best shows, and I still 391 00:21:32,119 --> 00:21:34,040 Speaker 1: feel like a ton of people have never seen it. 392 00:21:34,080 --> 00:21:36,520 Speaker 1: I think it's still streaming on Netflix. But yeah, if 393 00:21:36,560 --> 00:21:38,679 Speaker 1: you have not watched Holton catch Fire, like what a 394 00:21:38,800 --> 00:21:41,800 Speaker 1: what a nice cozy blanket of a show about some 395 00:21:41,840 --> 00:21:43,679 Speaker 1: fucked up people just trying to be a little bit 396 00:21:43,680 --> 00:21:47,960 Speaker 1: better for each other. Damn. Okay, I couldn't take a 397 00:21:48,040 --> 00:21:53,280 Speaker 1: suggestion more seriously than from you, So I'm definitely I'm 398 00:21:53,280 --> 00:21:55,240 Speaker 1: gonna have to watch it now. It's funny because i'm 399 00:21:55,240 --> 00:21:57,480 Speaker 1: looking it up. I'm like, wait, Chris can't Well is 400 00:21:57,520 --> 00:22:00,240 Speaker 1: the show under the Crying Nazi from Charlotte of Bill 401 00:22:00,320 --> 00:22:02,879 Speaker 1: But it's just an unfortunate common name. It is a 402 00:22:02,920 --> 00:22:05,879 Speaker 1: common name. Yeah, but yeah, I liked I watched like 403 00:22:05,920 --> 00:22:07,480 Speaker 1: the first couple when I was on and I was like, 404 00:22:07,560 --> 00:22:09,560 Speaker 1: this is boring, this is a mad Men rip off. 405 00:22:09,640 --> 00:22:11,520 Speaker 1: And then I had friends who were like, no, no, no, 406 00:22:11,560 --> 00:22:13,119 Speaker 1: you need to stick with it. And you do need 407 00:22:13,160 --> 00:22:15,000 Speaker 1: to stick with it because it kind of becomes a 408 00:22:15,040 --> 00:22:18,160 Speaker 1: completely different show after the first season. So yeah, check 409 00:22:18,160 --> 00:22:24,680 Speaker 1: it out, guys. The theme music all today this Danish 410 00:22:24,880 --> 00:22:27,680 Speaker 1: like E d M producer who are really fun. Okay, 411 00:22:27,720 --> 00:22:30,520 Speaker 1: you might remember him from I know you'll remember this 412 00:22:30,600 --> 00:22:33,600 Speaker 1: if you remember East Bounding Down when they do Ecstasy 413 00:22:33,640 --> 00:22:39,760 Speaker 1: at the dance and there's a song music that's trying 414 00:22:39,800 --> 00:22:43,680 Speaker 1: to molder. Yeah, I think one of the guys from 415 00:22:43,720 --> 00:22:46,199 Speaker 1: Tangerine dream Too does some of the music, which is 416 00:22:46,240 --> 00:22:48,280 Speaker 1: really cool. That's like a nice throwback to all those 417 00:22:48,320 --> 00:22:51,600 Speaker 1: great eighties Tangerine Dreams. Course. But yeah, well watch Howland 418 00:22:51,640 --> 00:22:56,200 Speaker 1: catch Fire. Guys, it's so good. All right, Well, let's 419 00:22:56,240 --> 00:22:58,680 Speaker 1: take a quick break. We're gonna watch howt and catch 420 00:22:58,680 --> 00:23:12,080 Speaker 1: Fire and it's entirety and be right back and we're back. 421 00:23:13,200 --> 00:23:16,320 Speaker 1: You weren't kidding? What a show? What was it? Mating Switch? 422 00:23:16,840 --> 00:23:19,920 Speaker 1: I did watch it onto X Speed, but I think 423 00:23:19,920 --> 00:23:26,080 Speaker 1: I got most of it, the one where like somebody 424 00:23:26,119 --> 00:23:28,960 Speaker 1: blinks into existence for like one split second and then 425 00:23:29,119 --> 00:23:32,320 Speaker 1: flints after existence, or they might have like had a 426 00:23:32,359 --> 00:23:39,119 Speaker 1: long SNI was happy forget. All right, let's talk about 427 00:23:39,320 --> 00:23:45,600 Speaker 1: Governor Christye Nome and her alleged nepotism issues. Alleged so 428 00:23:45,880 --> 00:23:49,240 Speaker 1: her daughter was trying to get a real estate appraiser license. 429 00:23:49,960 --> 00:23:54,600 Speaker 1: The tests were not fair, they were too hard, and 430 00:23:54,680 --> 00:23:58,680 Speaker 1: so her her mom stepped in to make it all better. Yea, 431 00:23:58,760 --> 00:24:02,720 Speaker 1: And what's what's wrong that the most American thing nepotism 432 00:24:02,840 --> 00:24:07,200 Speaker 1: and being helped out by rich, powerful by gover mom. 433 00:24:07,600 --> 00:24:10,440 Speaker 1: What's government that let graver mom step in and make 434 00:24:10,480 --> 00:24:13,200 Speaker 1: it all better? And yeah, like it was a whole thing. 435 00:24:13,520 --> 00:24:15,679 Speaker 1: She had to come out and deny it because the 436 00:24:15,680 --> 00:24:18,040 Speaker 1: whole thing was like again, if you if you didn't 437 00:24:18,040 --> 00:24:20,639 Speaker 1: listen to that episode she want to get her license, 438 00:24:20,840 --> 00:24:23,400 Speaker 1: They said, you know, she wasn't even doing the bare minimum, 439 00:24:23,440 --> 00:24:26,040 Speaker 1: so we had to deny it. And then the governor 440 00:24:26,400 --> 00:24:29,560 Speaker 1: Gnome calls like the like sort of the power brokers 441 00:24:29,640 --> 00:24:31,639 Speaker 1: or the people who have the power to decide or 442 00:24:31,720 --> 00:24:36,080 Speaker 1: oversee this process of giving these licenses out, summoned them 443 00:24:36,080 --> 00:24:38,680 Speaker 1: to her office for like a fucking talk with her 444 00:24:38,800 --> 00:24:42,920 Speaker 1: daughter in the fucking room, and then like then suddenly 445 00:24:42,960 --> 00:24:45,800 Speaker 1: people were like, oh wait, but now she got approved 446 00:24:45,840 --> 00:24:48,520 Speaker 1: after that meeting, which again I just want to refresh 447 00:24:48,520 --> 00:24:51,640 Speaker 1: everyone's memory. That led us to this clip where Christine 448 00:24:51,680 --> 00:24:54,680 Speaker 1: Nome was very much saying like, look, I don't know 449 00:24:55,200 --> 00:24:59,080 Speaker 1: like what's happening here. I just know that here we'll 450 00:24:59,240 --> 00:25:02,159 Speaker 1: we'll just like to say it for herself. I raised 451 00:25:02,160 --> 00:25:04,600 Speaker 1: her to accomplish things on her own, just like my 452 00:25:04,680 --> 00:25:08,320 Speaker 1: parents raised me. Other appraisers went through the exact same 453 00:25:08,359 --> 00:25:12,879 Speaker 1: process that Cassidy did, and I'll be honest, my administration 454 00:25:13,119 --> 00:25:18,040 Speaker 1: started fixing that process and it was way too difficult. Okay, 455 00:25:18,119 --> 00:25:20,200 Speaker 1: So that's really the one part of that thing we 456 00:25:20,280 --> 00:25:22,280 Speaker 1: need to hear say. It's like, yeah, man, I had 457 00:25:22,320 --> 00:25:24,240 Speaker 1: nothing to do with it. I'm gonna be real. We 458 00:25:24,359 --> 00:25:26,159 Speaker 1: changed some ship though to make it easier because it 459 00:25:26,440 --> 00:25:29,200 Speaker 1: was really unfair. It was too hard. I mean, let's 460 00:25:29,200 --> 00:25:31,879 Speaker 1: be real like, and I'll be honest, it had to 461 00:25:31,960 --> 00:25:36,880 Speaker 1: change because it's it is unfortunately too difficult. So yes, her, Well, 462 00:25:36,880 --> 00:25:40,440 Speaker 1: it turns out that all this attention on sweet young 463 00:25:40,480 --> 00:25:45,359 Speaker 1: Cassidy has been way too much, and now she is, 464 00:25:45,480 --> 00:25:46,960 Speaker 1: I guess ready to throw it in And I just 465 00:25:47,000 --> 00:25:49,640 Speaker 1: want to read this this sort of excerpt from the AP. 466 00:25:49,840 --> 00:25:53,679 Speaker 1: GNOME's daughter, Cassidy Peters, slammed a legislative inquiry and news 467 00:25:53,720 --> 00:25:56,040 Speaker 1: reporting on the episode in a letter to Secretary of 468 00:25:56,119 --> 00:25:59,880 Speaker 1: Labor Marcia Holtman. She also released a document that alleged 469 00:26:00,000 --> 00:26:03,680 Speaker 1: it of Committee was seeking to subpoena Oh okay, so 470 00:26:03,800 --> 00:26:06,560 Speaker 1: someone was looking so it was like pois lawmakers were 471 00:26:06,640 --> 00:26:08,880 Speaker 1: zeroing in on the timeline of a meeting Gnome called 472 00:26:08,960 --> 00:26:11,840 Speaker 1: last year that included Peter's and key decision makers in 473 00:26:11,920 --> 00:26:14,639 Speaker 1: a government agency that had moved days earlier to deny 474 00:26:14,760 --> 00:26:20,560 Speaker 1: her application. Oh so here's the thing, as she's saying, 475 00:26:20,560 --> 00:26:22,840 Speaker 1: like she's gonna quit or like there's nothing to see here. 476 00:26:23,000 --> 00:26:24,479 Speaker 1: So I'm curious if she's trying to do that thing 477 00:26:24,480 --> 00:26:27,280 Speaker 1: where like maybe you stole something but then you like 478 00:26:27,320 --> 00:26:29,480 Speaker 1: you ditch it. So if like people start looking for 479 00:26:29,560 --> 00:26:30,879 Speaker 1: you could be like, I never I don't know I 480 00:26:31,160 --> 00:26:33,000 Speaker 1: have it, I never really had it, So maybe you 481 00:26:33,000 --> 00:26:35,880 Speaker 1: don't have to care about this anymore. Like it's kind 482 00:26:35,880 --> 00:26:38,160 Speaker 1: of like her energy. Here's sort of like oh ship 483 00:26:38,440 --> 00:26:41,359 Speaker 1: Subpoena's here's this other thing, which leads us to the 484 00:26:41,359 --> 00:26:44,680 Speaker 1: next part, which he says, quote, I am writing you today. 485 00:26:44,720 --> 00:26:47,679 Speaker 1: This is her writing to the Secretary of Labor. I 486 00:26:47,720 --> 00:26:50,879 Speaker 1: am writing to you today to express my disappointment and 487 00:26:51,080 --> 00:26:54,520 Speaker 1: anger that my good name and professional reputation continue to 488 00:26:54,560 --> 00:27:00,159 Speaker 1: be damaged by questions and misinformation concerning the appraiser certification program. 489 00:27:00,200 --> 00:27:01,679 Speaker 1: She went on to say that she would turn in 490 00:27:01,720 --> 00:27:04,280 Speaker 1: her fucking appraiser license by the end of the year. 491 00:27:04,720 --> 00:27:09,440 Speaker 1: End of the year, though I'm angry, and I can 492 00:27:09,480 --> 00:27:14,240 Speaker 1: acknowledge that this has successfully destroyed my business. M hmm, 493 00:27:14,760 --> 00:27:18,440 Speaker 1: I mean you hate to see it. It's a assassination. 494 00:27:18,560 --> 00:27:24,520 Speaker 1: It's a character assassination of somebody who dared to be like, 495 00:27:25,119 --> 00:27:30,919 Speaker 1: this test is too hard. Yeah, that is. That's just 496 00:27:30,960 --> 00:27:34,879 Speaker 1: an amazing, like comedy moment of someone sitting down to 497 00:27:34,920 --> 00:27:38,280 Speaker 1: a test like that everyone's taking and just like stamp 498 00:27:38,320 --> 00:27:41,920 Speaker 1: being like, yo, this is too hard. Right, I'm sorry 499 00:27:42,080 --> 00:27:46,200 Speaker 1: what this is too hard? Or maybe you didn't prepare. 500 00:27:47,359 --> 00:27:50,399 Speaker 1: I don't know, Like it's like full strike sand effect too. 501 00:27:50,520 --> 00:27:53,320 Speaker 1: By calling attention to it's made it such a worse 502 00:27:53,480 --> 00:27:56,720 Speaker 1: problem than it would initially be. I love that. Why 503 00:27:56,840 --> 00:28:00,240 Speaker 1: women are getting the bulness of old white guys and terms. 504 00:28:00,320 --> 00:28:02,640 Speaker 1: It's like, well, too little Tommy, I had a hard 505 00:28:02,640 --> 00:28:05,800 Speaker 1: time on the geometry tests, so I'm going to sue 506 00:28:05,800 --> 00:28:10,240 Speaker 1: the school board. Oh god, white women are occurs as 507 00:28:10,240 --> 00:28:12,560 Speaker 1: a white woman, I would like to just say, and 508 00:28:12,800 --> 00:28:16,439 Speaker 1: you know, white women are are exercising nepotism too, like 509 00:28:16,480 --> 00:28:18,840 Speaker 1: their male counterparts have been hearing for so many years. 510 00:28:19,000 --> 00:28:21,520 Speaker 1: What a nightmare. I mean, look, I would love a 511 00:28:21,560 --> 00:28:24,399 Speaker 1: little nepotism. There's a show, there's a track that we 512 00:28:24,520 --> 00:28:26,520 Speaker 1: just went out on recently called the mission, and that's 513 00:28:26,560 --> 00:28:28,720 Speaker 1: like this black singer or something about like how much 514 00:28:28,760 --> 00:28:32,200 Speaker 1: he would yearn to have his kids experience a little nepotism, 515 00:28:32,240 --> 00:28:35,960 Speaker 1: and that's the mission. But yeah, this this defense again, 516 00:28:36,000 --> 00:28:38,520 Speaker 1: it's like, how dare you point out that my mother 517 00:28:38,640 --> 00:28:42,280 Speaker 1: abused her power of her office to make my life 518 00:28:42,320 --> 00:28:46,160 Speaker 1: easier all while the regular working poor people had to 519 00:28:46,200 --> 00:28:50,320 Speaker 1: just do it with their bootstraps and also misinformation for 520 00:28:50,360 --> 00:28:52,440 Speaker 1: good measures. She through that word in there. I'm surprised 521 00:28:52,520 --> 00:28:56,600 Speaker 1: she didn't evoke the holy Trinity of right, the right 522 00:28:56,640 --> 00:28:59,920 Speaker 1: wing scapegoat trinity of basically being like it's George Sorow, 523 00:29:00,280 --> 00:29:07,880 Speaker 1: Antifa and Black Lives Matter once again, critical race theory. 524 00:29:07,920 --> 00:29:14,120 Speaker 1: I'm sure that Antony Morrison's beloved. I mean, the stream 525 00:29:14,160 --> 00:29:19,719 Speaker 1: of consciousness storytelling in that book completely upended my business. 526 00:29:20,520 --> 00:29:24,200 Speaker 1: I'm sorry, I'm an s A T. Proctor. This test 527 00:29:24,360 --> 00:29:28,040 Speaker 1: is too hard, this is not fair. I object as 528 00:29:28,240 --> 00:29:31,880 Speaker 1: this is not fair. Anyways, just shout out to I 529 00:29:31,880 --> 00:29:34,880 Speaker 1: I do. I hope this does not dissuade anybody from 530 00:29:34,920 --> 00:29:38,160 Speaker 1: subpoenaing the records and you know, let letting us know, 531 00:29:38,560 --> 00:29:40,760 Speaker 1: because I really want to see like the test, like 532 00:29:40,800 --> 00:29:43,720 Speaker 1: what she turned in. What what what we're looking at, 533 00:29:43,800 --> 00:29:46,600 Speaker 1: like the her first draft of like trying to get 534 00:29:46,600 --> 00:29:49,960 Speaker 1: this ship done. I want to see the questions that 535 00:29:50,080 --> 00:29:53,120 Speaker 1: she got wrong. Yeah, so keep keep it moving for 536 00:29:53,240 --> 00:29:56,240 Speaker 1: us folks. All right, Well, let's talk about schools. Let's 537 00:29:56,240 --> 00:30:00,560 Speaker 1: talk about schools being unfair. Yeah, speaking of that, because 538 00:30:00,760 --> 00:30:03,120 Speaker 1: you know, in addition to pouring billions of dollars into 539 00:30:03,120 --> 00:30:07,120 Speaker 1: the sweatpant industry, the pandemic has changed a lot about 540 00:30:07,160 --> 00:30:11,320 Speaker 1: how we think about schooling because parents had to had 541 00:30:11,360 --> 00:30:13,040 Speaker 1: to do it. I had to like sit there with 542 00:30:13,080 --> 00:30:15,720 Speaker 1: their kids while they were trying to learn. It was 543 00:30:16,200 --> 00:30:19,840 Speaker 1: very difficult. But you know, at the end of there 544 00:30:20,040 --> 00:30:25,920 Speaker 1: was an unprecedented rise in fs, which you know, it 545 00:30:25,960 --> 00:30:30,680 Speaker 1: feels it feels like that is one way to deal with, 546 00:30:30,920 --> 00:30:35,120 Speaker 1: like the fact that a complete act of God that 547 00:30:35,160 --> 00:30:38,680 Speaker 1: nobody had any control over came in and made it 548 00:30:39,160 --> 00:30:42,160 Speaker 1: much harder for kids to learn is to blame it 549 00:30:42,200 --> 00:30:45,760 Speaker 1: on the kids and you know, make the rest of 550 00:30:45,800 --> 00:30:49,400 Speaker 1: their lives harder by just flunking them. But a bunch 551 00:30:49,440 --> 00:30:52,360 Speaker 1: of school boards have been coming together to try to 552 00:30:53,040 --> 00:30:57,440 Speaker 1: address this issue, figure out like how they can change 553 00:30:57,440 --> 00:31:00,840 Speaker 1: how we think about schooling and you know, how we 554 00:31:01,720 --> 00:31:05,040 Speaker 1: judge students in a way that will be more fair 555 00:31:05,240 --> 00:31:09,520 Speaker 1: and more appropriate to the modern world, right, because apparently, 556 00:31:09,720 --> 00:31:14,560 Speaker 1: like the the letter grade thing was invented like a 557 00:31:14,640 --> 00:31:17,920 Speaker 1: hundred years ago or I guess, and twenty day back 558 00:31:17,920 --> 00:31:22,360 Speaker 1: to and the reason that it stuck is because it 559 00:31:22,480 --> 00:31:26,760 Speaker 1: became like very common in the how we graded meat, 560 00:31:27,160 --> 00:31:30,280 Speaker 1: and so that's that's how it got like sort of 561 00:31:33,440 --> 00:31:42,200 Speaker 1: became such a grade, right, rate F beef, that's my question. Like, 562 00:31:44,000 --> 00:31:46,960 Speaker 1: oh man, my grandfather used to tell a funny story 563 00:31:47,080 --> 00:31:49,320 Speaker 1: as the parent of German immigrants who didn't speak a 564 00:31:49,320 --> 00:31:51,240 Speaker 1: ton of English, that a bunch of kids which just 565 00:31:51,320 --> 00:31:53,560 Speaker 1: lie to their parents about what the grading scale meant. 566 00:31:53,640 --> 00:31:56,920 Speaker 1: So it was like F was fine, Dan was damn fine, 567 00:31:57,160 --> 00:32:00,160 Speaker 1: CEE was could do better, B was bad and as 568 00:32:00,320 --> 00:32:04,720 Speaker 1: awful son. I mean, you know, it has a certain 569 00:32:05,120 --> 00:32:07,400 Speaker 1: sort of a sense to it. But kids won't be 570 00:32:07,440 --> 00:32:10,760 Speaker 1: able to get away with that ship anymore apparently. But 571 00:32:10,880 --> 00:32:15,160 Speaker 1: I like the things that they're you know, looking to 572 00:32:15,360 --> 00:32:20,120 Speaker 1: change are basically they want kids to be judged based 573 00:32:20,160 --> 00:32:24,000 Speaker 1: on how mastery of the skill they're trying to learn. 574 00:32:24,400 --> 00:32:28,280 Speaker 1: So if they have learned it well enough to do it, 575 00:32:28,880 --> 00:32:33,719 Speaker 1: then they get by. If they haven't done that, then 576 00:32:33,760 --> 00:32:37,000 Speaker 1: they have to keep going. But like which I assumed 577 00:32:37,080 --> 00:32:39,880 Speaker 1: is like how teachers were thinking about the letter grades 578 00:32:39,960 --> 00:32:42,480 Speaker 1: to write like that, oh well they haven't learned math, 579 00:32:42,560 --> 00:32:46,200 Speaker 1: but they're pointing out that, like they're stupid things that 580 00:32:46,320 --> 00:32:50,920 Speaker 1: go into somebody failing, like you know, missing a class 581 00:32:51,280 --> 00:32:55,280 Speaker 1: or not following directions, and so they're trying to do 582 00:32:55,360 --> 00:33:00,000 Speaker 1: away with that sort of thing, right, yeah, go ahead. 583 00:33:00,040 --> 00:33:02,600 Speaker 1: I mean all that ship did for me was just 584 00:33:02,760 --> 00:33:07,280 Speaker 1: obsess over being and then like scoring above nine on 585 00:33:07,360 --> 00:33:11,200 Speaker 1: tests because that was a threshold for an A. And 586 00:33:11,880 --> 00:33:14,200 Speaker 1: half the time it was just I mean it was 587 00:33:14,240 --> 00:33:17,440 Speaker 1: funny too, because I think the letter I think because 588 00:33:17,480 --> 00:33:20,320 Speaker 1: culturally I was so sort of oriented to be like 589 00:33:20,560 --> 00:33:23,440 Speaker 1: these fucking a's better be hitting on this card when 590 00:33:23,480 --> 00:33:26,480 Speaker 1: I see it. That like it put into me like, fuck, 591 00:33:26,520 --> 00:33:28,760 Speaker 1: I gotta do anything to get in a more than 592 00:33:28,800 --> 00:33:31,160 Speaker 1: even being like I gotta do whatever it takes to learn. 593 00:33:31,240 --> 00:33:34,680 Speaker 1: This became more about you know, can I cramp memory 594 00:33:34,720 --> 00:33:37,240 Speaker 1: recall the funk out of this for a test? And also, 595 00:33:37,560 --> 00:33:39,880 Speaker 1: truth be told, I hated science. I just started cheating 596 00:33:39,880 --> 00:33:41,560 Speaker 1: in science because I was like, funk that I'm not 597 00:33:41,560 --> 00:33:44,360 Speaker 1: sucking my grades though, Yeah, I'll fucking I will. I 598 00:33:44,360 --> 00:33:47,200 Speaker 1: will order the teacher's edition of this physics book and 599 00:33:47,240 --> 00:33:50,920 Speaker 1: do I have the test already? So thank you. It's 600 00:33:50,960 --> 00:33:53,560 Speaker 1: so real, though, it's like you're not learning things. You're 601 00:33:53,560 --> 00:33:55,720 Speaker 1: just like, let me learn the structure of the eyeball 602 00:33:55,840 --> 00:33:58,680 Speaker 1: for this biology quiz and then not retain a lick 603 00:33:58,720 --> 00:34:01,440 Speaker 1: of it for any future. Are sort of like things. 604 00:34:01,520 --> 00:34:04,480 Speaker 1: But guys, what about our permanent records? It's going to 605 00:34:04,520 --> 00:34:08,239 Speaker 1: go on our permanent records? Oh my god, I haven't 606 00:34:08,239 --> 00:34:10,319 Speaker 1: even heard you know. You fucked me up just saying 607 00:34:10,360 --> 00:34:13,120 Speaker 1: that out loud. This is gonna be on your permanent record, y'all? 608 00:34:13,120 --> 00:34:16,880 Speaker 1: Like this is gonna Yeah, It's like I never saw it, 609 00:34:17,000 --> 00:34:20,319 Speaker 1: didn't exist about this. He said you were full of shit, 610 00:34:22,200 --> 00:34:23,920 Speaker 1: and they're like, well, we'll talk about that at the 611 00:34:23,920 --> 00:34:27,239 Speaker 1: parent teacher for any children listeners, Like, not a day 612 00:34:27,280 --> 00:34:30,520 Speaker 1: goes by where my permanent record from middle school is 613 00:34:30,520 --> 00:34:33,680 Speaker 1: not dangling over my head by the police, by the 614 00:34:33,719 --> 00:34:38,399 Speaker 1: I R. S, Banks, employers, everything, the doctor. But yeah, 615 00:34:38,480 --> 00:34:43,120 Speaker 1: so La and San Diego Unified school districts are directing 616 00:34:43,160 --> 00:34:45,360 Speaker 1: teachers too, and this sounds like what they should have 617 00:34:45,360 --> 00:34:48,360 Speaker 1: already been doing based academic grades on whether students have 618 00:34:48,520 --> 00:34:51,520 Speaker 1: learned what was expected of them during a course, and 619 00:34:51,600 --> 00:34:56,920 Speaker 1: not penalize them for behavior, work habits, and missed deadlines. 620 00:34:57,480 --> 00:35:00,880 Speaker 1: It's like, yeah, motherfucker, that that's how we should have 621 00:35:00,920 --> 00:35:04,920 Speaker 1: always been doing it. Because the school closures that happened 622 00:35:04,920 --> 00:35:08,200 Speaker 1: disproportionately affected the grids of black and Latin X students. 623 00:35:08,400 --> 00:35:13,000 Speaker 1: So yeah, right, I mean, it's it's it's interesting too write, 624 00:35:13,000 --> 00:35:16,040 Speaker 1: and I'm sure there's plenty of alternative schools that take 625 00:35:16,120 --> 00:35:17,719 Speaker 1: this into account because I feel like that's just a 626 00:35:17,800 --> 00:35:21,480 Speaker 1: huge focus area for people in education. But like I 627 00:35:21,520 --> 00:35:24,200 Speaker 1: think it's like the stakes are just so high, like 628 00:35:24,280 --> 00:35:26,360 Speaker 1: they feel so high in this like a through f 629 00:35:26,520 --> 00:35:30,640 Speaker 1: system that it will either create like kids will either 630 00:35:30,760 --> 00:35:32,680 Speaker 1: very quickly be like Okay, fuck it, I can like 631 00:35:32,840 --> 00:35:35,239 Speaker 1: rise to this situation or check out because it just 632 00:35:35,280 --> 00:35:37,719 Speaker 1: becomes frustrating, you know, and even if they can, like 633 00:35:37,760 --> 00:35:40,320 Speaker 1: I have so many friends who were more than capable 634 00:35:40,400 --> 00:35:43,319 Speaker 1: of being in AP classes, but like the momentum of 635 00:35:43,360 --> 00:35:46,000 Speaker 1: like academia and like being sort of told like you're 636 00:35:46,040 --> 00:35:48,759 Speaker 1: kind of like a C student, It's like no, man, 637 00:35:48,800 --> 00:35:50,400 Speaker 1: his parents were fighting all the time, and he was 638 00:35:50,440 --> 00:35:53,240 Speaker 1: distracted and couldn't do his fucking homework like other kids 639 00:35:53,320 --> 00:35:56,279 Speaker 1: or whatever. Like that's sort of what's happening here. You know, 640 00:35:56,320 --> 00:35:59,640 Speaker 1: he's not gonna like this mainstream media. I feel like 641 00:35:59,640 --> 00:36:03,520 Speaker 1: the mains stream media is a society of straight A 642 00:36:03,640 --> 00:36:08,160 Speaker 1: students got into that and or a lot of students 643 00:36:08,239 --> 00:36:13,920 Speaker 1: go ahead and buy on depotism and you know who 644 00:36:14,600 --> 00:36:17,440 Speaker 1: like actually think and I think a lot of you know, 645 00:36:17,880 --> 00:36:21,200 Speaker 1: just a lot of like the people empower in America, 646 00:36:21,719 --> 00:36:25,799 Speaker 1: Well not like this, because there is a belief that like, 647 00:36:25,960 --> 00:36:29,080 Speaker 1: well I went to a better college and that means 648 00:36:29,600 --> 00:36:33,000 Speaker 1: not that I'm I had more opportunities, but that I'm 649 00:36:33,080 --> 00:36:36,520 Speaker 1: like actually smarter and need to like be in control 650 00:36:36,760 --> 00:36:39,800 Speaker 1: and like making these decisions that affect other people because 651 00:36:39,840 --> 00:36:42,480 Speaker 1: I need to make them for them. Like that is 652 00:36:42,560 --> 00:36:48,160 Speaker 1: definitely under like under girding like a lot of how 653 00:36:48,239 --> 00:36:51,840 Speaker 1: people think, and I think the media and the world 654 00:36:51,920 --> 00:36:55,000 Speaker 1: of finance, and like that's also how they justified just 655 00:36:55,080 --> 00:36:59,719 Speaker 1: the generally fucked up way that our society is built out. 656 00:37:00,120 --> 00:37:03,840 Speaker 1: So like the idea that what do you mean my 657 00:37:03,920 --> 00:37:06,600 Speaker 1: kid can't get straight a's Like that's but it's a 658 00:37:07,120 --> 00:37:11,080 Speaker 1: competition based market, I mean society that we have. I'm 659 00:37:11,160 --> 00:37:14,400 Speaker 1: glad we've like started having this conversation about gifted kids 660 00:37:14,480 --> 00:37:18,120 Speaker 1: and like that whole escalator of madness. Like I don't 661 00:37:18,120 --> 00:37:20,719 Speaker 1: know if you guys like we talked too much about 662 00:37:20,719 --> 00:37:22,440 Speaker 1: it on Twitter, I will say, and there have been 663 00:37:22,440 --> 00:37:24,640 Speaker 1: too many things in the sort of like former gifted 664 00:37:24,719 --> 00:37:28,080 Speaker 1: kids do this. But I don't know, Like I myself 665 00:37:28,120 --> 00:37:29,840 Speaker 1: and a lot of my friends, it's like, you know, 666 00:37:29,920 --> 00:37:33,000 Speaker 1: we've been grinding since we were five, like this, it's 667 00:37:33,040 --> 00:37:35,960 Speaker 1: not fun anymore. Like I got all the a's, I 668 00:37:36,000 --> 00:37:38,040 Speaker 1: did all the right stuff, I still can't buy a 669 00:37:38,040 --> 00:37:41,120 Speaker 1: fucking house, Like I am taking a breather and smoking 670 00:37:41,200 --> 00:37:45,440 Speaker 1: some weep like I am not. Like yeah, it's I 671 00:37:45,920 --> 00:37:48,480 Speaker 1: hope parents are like loosening the reins on some of 672 00:37:48,520 --> 00:37:51,319 Speaker 1: that stuff too, and realizing that, like if every kid 673 00:37:51,320 --> 00:37:53,680 Speaker 1: gets straight a's and every kid does all the right 674 00:37:53,760 --> 00:37:56,959 Speaker 1: sort of like extracurriculars, like you're still in the same 675 00:37:57,000 --> 00:37:59,680 Speaker 1: boat when things like COVID happened. So I don't know, 676 00:38:01,239 --> 00:38:03,920 Speaker 1: but I I can, like see the Fox News segment 677 00:38:04,040 --> 00:38:05,880 Speaker 1: on this. Now it's gonna be like tied to the 678 00:38:05,880 --> 00:38:09,000 Speaker 1: war on Christmas. It's like the war on report cards, 679 00:38:10,000 --> 00:38:13,440 Speaker 1: woke woke report cards, where work cards are now woke 680 00:38:13,560 --> 00:38:15,759 Speaker 1: because it's even now too hard to hear that you 681 00:38:15,800 --> 00:38:19,279 Speaker 1: have failed at something. Yeah, sure, but I mean I 682 00:38:19,320 --> 00:38:21,319 Speaker 1: think it goes along with this other thing too, Like this, 683 00:38:21,520 --> 00:38:24,200 Speaker 1: these studies constantly come out like again, they're showing like 684 00:38:25,360 --> 00:38:27,879 Speaker 1: and like Harvard, like white students that were admitted were 685 00:38:27,920 --> 00:38:31,120 Speaker 1: like recruited athletes. Legacy students are like on the Dean's 686 00:38:31,120 --> 00:38:34,800 Speaker 1: interest list, meaning like parents gave money, and you're saying 687 00:38:34,840 --> 00:38:38,080 Speaker 1: forty three percent of those kids going to Harvard are 688 00:38:38,120 --> 00:38:41,640 Speaker 1: there because of not I'm sure of like the hardcore 689 00:38:41,800 --> 00:38:44,680 Speaker 1: merit based admissions that many of the other students face. 690 00:38:44,920 --> 00:38:47,920 Speaker 1: But there's just always these levels to like it's never 691 00:38:47,960 --> 00:38:51,120 Speaker 1: the same scale fight to everyone. So it would be 692 00:38:51,120 --> 00:38:53,040 Speaker 1: interesting to see where something where it's like, yeah, I 693 00:38:53,080 --> 00:38:55,719 Speaker 1: guess what in this version, this kid too will be 694 00:38:55,760 --> 00:38:59,200 Speaker 1: treated as a valid applicant to a school because we 695 00:38:59,280 --> 00:39:02,600 Speaker 1: have a more just sort of holistic, even keeled way 696 00:39:02,600 --> 00:39:04,680 Speaker 1: of saying like, yep, this kid knows that this kid 697 00:39:04,719 --> 00:39:08,120 Speaker 1: does too. We are the best of the best of 698 00:39:08,400 --> 00:39:12,960 Speaker 1: billion of the children. But so there are reason to 699 00:39:12,960 --> 00:39:17,000 Speaker 1: believe that this is a better pristance. There's a school 700 00:39:17,200 --> 00:39:20,760 Speaker 1: in New York City that tried this, basically did away 701 00:39:21,000 --> 00:39:25,400 Speaker 1: with letter grades, and it was a middle school, and 702 00:39:25,520 --> 00:39:28,440 Speaker 1: they say in this Washington Post article quote, the approach 703 00:39:28,480 --> 00:39:33,280 Speaker 1: has been transformative. In the fourteen school years, seven percent 704 00:39:33,320 --> 00:39:36,040 Speaker 1: of its students read at grade level and five percent 705 00:39:36,120 --> 00:39:38,640 Speaker 1: met the state's math standards. Two years later, twenty nine 706 00:39:38,680 --> 00:39:41,839 Speaker 1: percent were proficient in English, twenty six percent proficient in math, 707 00:39:42,239 --> 00:39:45,319 Speaker 1: pulling the school close to the city average, just by 708 00:39:45,320 --> 00:39:49,799 Speaker 1: getting rid of these standards of past fail and like 709 00:39:49,880 --> 00:39:52,840 Speaker 1: the I also feel like there's like there are a 710 00:39:52,840 --> 00:39:55,359 Speaker 1: lot of great teachers like I. I've had a lot 711 00:39:55,360 --> 00:40:00,680 Speaker 1: of great teachers. I've also seen teachers who feel empowered 712 00:40:00,800 --> 00:40:05,080 Speaker 1: because they get to be like past fail, I get 713 00:40:05,120 --> 00:40:09,400 Speaker 1: to pass judgment on these kids lives. Fucking miss heacocks, 714 00:40:09,520 --> 00:40:12,840 Speaker 1: I still remember your ass. I don't think we've forgotten. 715 00:40:13,800 --> 00:40:16,319 Speaker 1: Yeah she tried. But guess what, I'm good at math, 716 00:40:16,440 --> 00:40:20,319 Speaker 1: So there's you can't hold me down. There are some 717 00:40:20,400 --> 00:40:23,120 Speaker 1: teachers that are just like straight sabers, and you know, 718 00:40:23,200 --> 00:40:27,000 Speaker 1: to say not to malign the many many wonderful, dedicated 719 00:40:27,120 --> 00:40:29,279 Speaker 1: like this is their life's work. Teachers in the world. 720 00:40:29,320 --> 00:40:31,200 Speaker 1: But you do think back on some of those teachers 721 00:40:31,239 --> 00:40:33,840 Speaker 1: you had, You're like, what was your deal? Man? Like 722 00:40:34,120 --> 00:40:37,239 Speaker 1: what was going on here? Like, right, I had this 723 00:40:37,320 --> 00:40:40,000 Speaker 1: like older person just take all their like life's anger 724 00:40:40,040 --> 00:40:42,279 Speaker 1: out on me. Like legit. When I look back, and 725 00:40:42,360 --> 00:40:44,920 Speaker 1: you kind of have the wherewithal to understand like human 726 00:40:44,920 --> 00:40:47,719 Speaker 1: behavior a little bit more outside of like the academic 727 00:40:47,880 --> 00:40:52,560 Speaker 1: or like child adult dynamic, I was like, Yo, you 728 00:40:52,680 --> 00:40:56,880 Speaker 1: were so fucking unhappy with your life and you just 729 00:40:56,960 --> 00:40:59,920 Speaker 1: got your jollyes off walking in here and just acting 730 00:41:00,000 --> 00:41:02,279 Speaker 1: a fool like that was really that was the loop 731 00:41:02,320 --> 00:41:07,080 Speaker 1: you were caught in. Unfortunately we were calling you the teacher. Yeah, 732 00:41:07,120 --> 00:41:10,319 Speaker 1: but again, like you're saying, I've luckily had so many 733 00:41:10,360 --> 00:41:13,520 Speaker 1: good teachers that, like I could tell I was maybe 734 00:41:13,719 --> 00:41:16,320 Speaker 1: like starting to check out or whatever. I was just distracted. 735 00:41:16,360 --> 00:41:18,800 Speaker 1: I'd rather funk around or something. And they would always 736 00:41:18,840 --> 00:41:21,080 Speaker 1: come like kind of you know, gass you up and 737 00:41:21,080 --> 00:41:22,960 Speaker 1: be like, hey man, you're smart, like you can do 738 00:41:23,040 --> 00:41:24,640 Speaker 1: this ship like just do it. I'm like, all right, 739 00:41:25,040 --> 00:41:26,600 Speaker 1: you got well. And that's such a problem with like 740 00:41:26,640 --> 00:41:29,920 Speaker 1: contemporary schooling too, is like we all have such specific 741 00:41:29,960 --> 00:41:33,160 Speaker 1: ways of learning and retaining information and teachers have to 742 00:41:33,200 --> 00:41:36,240 Speaker 1: figure out the thirty different styles of that for every 743 00:41:36,320 --> 00:41:39,439 Speaker 1: kid in their class, every period. Teachers should be making 744 00:41:39,440 --> 00:41:43,920 Speaker 1: like five grand a year. Yeah, they should be the 745 00:41:43,920 --> 00:41:45,560 Speaker 1: ballers of the earth. Like if you go to a 746 00:41:45,680 --> 00:41:47,920 Speaker 1: nightclub and they're coming through a bottle service and the 747 00:41:47,920 --> 00:41:49,799 Speaker 1: fucking flares, you're like, oh, you know the teachers in 748 00:41:49,800 --> 00:41:51,800 Speaker 1: the building. There should be a bunch of ugly sweaters 749 00:41:52,160 --> 00:41:55,759 Speaker 1: at the booth that those Yeah, just like sipping in 750 00:41:55,800 --> 00:41:59,120 Speaker 1: the crystal. Yeah, like shout out all the teachers in 751 00:41:59,160 --> 00:42:03,080 Speaker 1: the building. We've got to want drinks for teachers. I 752 00:42:03,239 --> 00:42:05,640 Speaker 1: like this club. All right, we're going to take a 753 00:42:05,719 --> 00:42:08,239 Speaker 1: quick break and we'll be right back to find out 754 00:42:08,320 --> 00:42:22,360 Speaker 1: why red wine is like weed. Seriously, you guys, And 755 00:42:22,480 --> 00:42:26,719 Speaker 1: we're back, and yeah, it seems like everybody wants to 756 00:42:26,719 --> 00:42:31,280 Speaker 1: get on the legal weed bandwagon. The approval rating for weed, 757 00:42:31,360 --> 00:42:33,960 Speaker 1: I feel like it's just shot through the roof. Oh yeah, 758 00:42:34,560 --> 00:42:39,120 Speaker 1: another conservative see like the revenue potential, Like they're introducing 759 00:42:39,160 --> 00:42:42,880 Speaker 1: fucking bills now, Like, yeah, we didn't decriminalize weeds, folks. 760 00:42:42,880 --> 00:42:44,839 Speaker 1: I don't know what the fuss going on with everybody, man, 761 00:42:44,880 --> 00:42:51,000 Speaker 1: but you criminalized weeds. Yeah, immediately you're like, okay, sure, 762 00:42:51,040 --> 00:42:54,600 Speaker 1: but yeah, I mean weed is uh, you know, becoming 763 00:42:54,600 --> 00:42:58,400 Speaker 1: more and more normal and there. But here's the thing, man, Like, 764 00:42:58,480 --> 00:43:02,440 Speaker 1: so there's these studies it's like the weed like things 765 00:43:02,480 --> 00:43:05,680 Speaker 1: the from working out will enter your body, which I understand. 766 00:43:05,840 --> 00:43:08,239 Speaker 1: Like there's always like headlines like that were like this 767 00:43:08,360 --> 00:43:12,960 Speaker 1: computer algorithm invented the new heroin, or like chocolate consumption 768 00:43:13,280 --> 00:43:16,160 Speaker 1: links to longer life, and you're like, I like that 769 00:43:16,239 --> 00:43:18,399 Speaker 1: as a headline. I'm not gonna look into it much 770 00:43:18,440 --> 00:43:20,600 Speaker 1: more than that because I like the idea that me 771 00:43:20,680 --> 00:43:23,400 Speaker 1: eating this chocolate will extend my life. And then you 772 00:43:23,440 --> 00:43:25,880 Speaker 1: look into it, you're like, there's properties within chocolate, like 773 00:43:25,920 --> 00:43:28,000 Speaker 1: in this very narrow study when you used this way 774 00:43:28,080 --> 00:43:31,120 Speaker 1: had a better effect for like mice. And then you're like, well, 775 00:43:31,160 --> 00:43:33,440 Speaker 1: that has nothing to do with me eating this gigantic 776 00:43:33,480 --> 00:43:37,400 Speaker 1: Thanksgiving pie from reesus. So in this sense, you know, 777 00:43:37,400 --> 00:43:39,799 Speaker 1: it's like the sensational mixed with the scientific, and it 778 00:43:39,880 --> 00:43:43,040 Speaker 1: usually drives a lot of clicks because you like hearing things. 779 00:43:43,080 --> 00:43:46,920 Speaker 1: It's like weed makes you smarter, and you're like, okay, great, 780 00:43:46,960 --> 00:43:49,160 Speaker 1: and then you look you're like, maybe this wasn't the 781 00:43:49,200 --> 00:43:52,239 Speaker 1: hardest of sciences. But this one was very interesting and 782 00:43:52,360 --> 00:43:55,320 Speaker 1: just saying like red wine is like it's giving people 783 00:43:55,440 --> 00:43:57,680 Speaker 1: like a weed type feeling. And this was the sort 784 00:43:57,719 --> 00:44:02,080 Speaker 1: of subheading under this study quote red wine induces psychological 785 00:44:02,160 --> 00:44:05,520 Speaker 1: states characterized by Bliss, a focus on the present moment 786 00:44:05,719 --> 00:44:09,279 Speaker 1: and enhanced fascination with one surroundings, and a softening of 787 00:44:09,320 --> 00:44:13,760 Speaker 1: the differentiation between oneself and the environment, where when consumed 788 00:44:13,760 --> 00:44:17,760 Speaker 1: in a tranquil environment, According to a new research study, 789 00:44:18,040 --> 00:44:21,880 Speaker 1: I said, oh, okay, this is the first time I 790 00:44:21,960 --> 00:44:24,640 Speaker 1: started to wonder, and it would it would be like 791 00:44:24,680 --> 00:44:26,920 Speaker 1: the end of Usual Suspects when he starts like seeing 792 00:44:27,000 --> 00:44:30,000 Speaker 1: all the things that Kayser says it was on the 793 00:44:30,040 --> 00:44:34,000 Speaker 1: bottom of the mug. Yeah, Like is there a big 794 00:44:34,120 --> 00:44:36,839 Speaker 1: red wine? Like is there a big wine? That is 795 00:44:36,920 --> 00:44:39,080 Speaker 1: like putting all these studies out because I feel like 796 00:44:39,440 --> 00:44:41,680 Speaker 1: all my life, all I've heard is like red wine 797 00:44:41,760 --> 00:44:45,560 Speaker 1: is actually like basically fucking health food. You guys like 798 00:44:46,440 --> 00:44:48,520 Speaker 1: it's kind of crazy that we don't let kids drink 799 00:44:48,560 --> 00:44:51,719 Speaker 1: red wine because it would make them live till they're 800 00:44:51,719 --> 00:44:55,239 Speaker 1: a thousand years old and make them smarter. Hey, snoop dogg, 801 00:44:55,320 --> 00:44:58,160 Speaker 1: here's three billion bucks to say weeds the red wines 802 00:44:58,200 --> 00:45:01,880 Speaker 1: the new weed. Yeah for shizzle, I guess it is 803 00:45:01,960 --> 00:45:06,640 Speaker 1: red whistle, but yeah, maybe there is big red Wine. 804 00:45:07,320 --> 00:45:11,279 Speaker 1: Oh yeah, you know they were behind that. This was 805 00:45:11,320 --> 00:45:13,160 Speaker 1: like five or six years ago, but I read I 806 00:45:13,200 --> 00:45:14,960 Speaker 1: don't even know what publication was in, but it was 807 00:45:15,000 --> 00:45:17,880 Speaker 1: about big kale and how kale suddenly became like a 808 00:45:17,880 --> 00:45:20,719 Speaker 1: sexy vegetable again, And it was because they dumped like 809 00:45:21,280 --> 00:45:24,960 Speaker 1: millions of dollars into marketing kale as this like super 810 00:45:25,000 --> 00:45:31,360 Speaker 1: food when it had been garnish on like buffet, pizza, salad, buffets. 811 00:45:31,400 --> 00:45:35,440 Speaker 1: Pizza Hut was the biggest consumer of kale to buffet 812 00:45:35,640 --> 00:45:39,400 Speaker 1: for all the nineties because those red cups. Yeah, just 813 00:45:39,440 --> 00:45:42,040 Speaker 1: because they used it as the garnish in between like 814 00:45:42,640 --> 00:45:45,640 Speaker 1: things on the And then there is a big red 815 00:45:45,640 --> 00:45:48,200 Speaker 1: wine because they've realized to a bunch of like wine 816 00:45:48,239 --> 00:45:50,680 Speaker 1: moms who realized that we eat is like easier to 817 00:45:50,760 --> 00:45:53,879 Speaker 1: deal with on a daily basis than red wine. It's 818 00:45:53,920 --> 00:45:56,799 Speaker 1: the same thing like with Rose. Like Rose definitely had 819 00:45:56,840 --> 00:46:00,279 Speaker 1: a huge push from I guess whatever. They're quick enough. 820 00:46:00,280 --> 00:46:02,880 Speaker 1: Lobbyists are, but like you know, their consultants who go 821 00:46:02,920 --> 00:46:05,120 Speaker 1: out and like we're like, hey man, it's all about rose. 822 00:46:05,239 --> 00:46:09,120 Speaker 1: Here we go. But yeah, so this study, You're like, Okay, 823 00:46:09,640 --> 00:46:11,840 Speaker 1: I guess what red wine will make you feel like 824 00:46:11,960 --> 00:46:15,799 Speaker 1: Matthew McConaughey or you're transpending space time and like your 825 00:46:15,800 --> 00:46:19,480 Speaker 1: connections to oneself are enhanced. So I'm like, okay, well, 826 00:46:19,480 --> 00:46:23,840 Speaker 1: what's the methodology around this? Exactly? Because again, very interesting, 827 00:46:24,080 --> 00:46:26,800 Speaker 1: you know proposal from this abstract. So you go in 828 00:46:26,840 --> 00:46:29,360 Speaker 1: and say, well, what's going on? The methodology fucking sounds 829 00:46:29,400 --> 00:46:30,880 Speaker 1: like some ship I would have tried in the in 830 00:46:30,920 --> 00:46:34,800 Speaker 1: the eleventh grade, because it's not. Really the methodology isn't 831 00:46:34,840 --> 00:46:39,040 Speaker 1: that great. They essentially had people fill out a questionnaire 832 00:46:39,080 --> 00:46:43,080 Speaker 1: at a fucking wine bar where people who fucking love 833 00:46:43,160 --> 00:46:46,319 Speaker 1: wine are already hanging out, And I just want to 834 00:46:46,320 --> 00:46:48,759 Speaker 1: read it from this article quote. After arriving at the 835 00:46:48,760 --> 00:46:51,040 Speaker 1: wine bar and being seated at the table, the participants 836 00:46:51,040 --> 00:46:54,600 Speaker 1: completed questionnaires regarding their demographics, drinking habits, and smoking habits. 837 00:46:54,640 --> 00:46:57,759 Speaker 1: They also completed various measures of altered states of consciousness. 838 00:46:57,960 --> 00:47:00,680 Speaker 1: The participants were asked to drink two glasses blah blah blah, 839 00:47:00,800 --> 00:47:03,000 Speaker 1: and then they said after they finished their second glass 840 00:47:03,000 --> 00:47:06,000 Speaker 1: of wine, the participants completed the measures of altered states 841 00:47:06,000 --> 00:47:10,160 Speaker 1: of consciousness. Again, Now, I'm not a scientist, although I 842 00:47:10,239 --> 00:47:12,320 Speaker 1: always say I am on this show, and I apologize 843 00:47:12,360 --> 00:47:14,919 Speaker 1: to listeners that have believed my science advice. But isn't 844 00:47:14,960 --> 00:47:18,600 Speaker 1: it like not good to tell people in a study that, like, 845 00:47:18,960 --> 00:47:21,080 Speaker 1: here's the thing we're gonna measure you, measure you on 846 00:47:21,080 --> 00:47:23,479 Speaker 1: on the other side of this too, like I feel 847 00:47:23,480 --> 00:47:26,440 Speaker 1: like you'll you'll, you'll stealth it in the many questions 848 00:47:26,480 --> 00:47:28,719 Speaker 1: or something so they can't quite pick up on what's 849 00:47:28,760 --> 00:47:32,279 Speaker 1: being asked, so your answers aren't biased. But you have 850 00:47:32,360 --> 00:47:36,080 Speaker 1: to do like double blind studies where and usually like 851 00:47:36,160 --> 00:47:38,279 Speaker 1: they'll lie to you about what the studies like in 852 00:47:38,280 --> 00:47:41,280 Speaker 1: a well designed study, they'll like lie to you about 853 00:47:41,320 --> 00:47:44,120 Speaker 1: what it is, like what that they're testing, so that 854 00:47:44,200 --> 00:47:46,840 Speaker 1: you're not thinking about the thing that they're actually testing. 855 00:47:47,400 --> 00:47:50,680 Speaker 1: This sounds like it is like already people who have 856 00:47:50,800 --> 00:47:54,200 Speaker 1: a concerted interest in thinking it's cool and healthy to 857 00:47:54,280 --> 00:47:57,000 Speaker 1: drink wine since they're at a wine bar, and then 858 00:47:57,040 --> 00:47:58,839 Speaker 1: they're like, hey, we just want to know like how 859 00:47:58,880 --> 00:48:01,719 Speaker 1: cool and healthy it is for the one, so like 860 00:48:01,880 --> 00:48:04,319 Speaker 1: that's what we're gonna be asking you about. Right. It's 861 00:48:04,360 --> 00:48:08,040 Speaker 1: like how I was able to crack like the quantum physics, 862 00:48:08,080 --> 00:48:11,239 Speaker 1: like wildest equation with the help of meth. I was 863 00:48:11,320 --> 00:48:13,120 Speaker 1: told to you by people who are addicted to meth. 864 00:48:13,200 --> 00:48:17,359 Speaker 1: It's like, well, hold on, like, who is this group now? Yeah? Yeah, 865 00:48:17,400 --> 00:48:19,920 Speaker 1: I'm way more interested in people who like don't drink 866 00:48:20,040 --> 00:48:23,560 Speaker 1: or rarely having those effects, Like yeah, if you're at 867 00:48:23,560 --> 00:48:26,880 Speaker 1: a wine bar drinking wine, you're probably having a pretty 868 00:48:26,880 --> 00:48:30,440 Speaker 1: good time to begin with. Not the most sort of 869 00:48:30,600 --> 00:48:34,880 Speaker 1: sterile or like neutral venue for such a study, But 870 00:48:34,960 --> 00:48:37,320 Speaker 1: he's the thing. You're like, Okay, well, then what about 871 00:48:37,320 --> 00:48:42,080 Speaker 1: the control group? There was none. There wasn't even a 872 00:48:42,160 --> 00:48:45,160 Speaker 1: control group, And I'm gonna just read these people are 873 00:48:47,440 --> 00:48:50,680 Speaker 1: like what this is not? How dare people even post 874 00:48:50,760 --> 00:48:53,600 Speaker 1: this SIDS quote. Some people may argue that the lack 875 00:48:53,640 --> 00:48:57,040 Speaker 1: of a control group drinking non non alcoholic beverage impeded 876 00:48:57,160 --> 00:48:58,920 Speaker 1: us to examine the effects of just being in a 877 00:48:58,960 --> 00:49:02,920 Speaker 1: pleasant wine bar. However, this is unlikely to have influenced 878 00:49:02,960 --> 00:49:05,879 Speaker 1: the results because when we were doing the study, it 879 00:49:05,960 --> 00:49:08,359 Speaker 1: was clear that for most people, sitting in a wine 880 00:49:08,360 --> 00:49:10,800 Speaker 1: bar drinking a non alcoholic beverage would have been a 881 00:49:10,920 --> 00:49:17,200 Speaker 1: boring an average experience. What what yo? Was the study 882 00:49:17,280 --> 00:49:20,640 Speaker 1: designed and conducted by Christie Elms daughter. I feel like 883 00:49:21,160 --> 00:49:28,560 Speaker 1: we were doing this study really defensive. In contrast, the 884 00:49:28,600 --> 00:49:31,680 Speaker 1: effects we observed were of a highly positive nature. But 885 00:49:31,719 --> 00:49:34,360 Speaker 1: because some researchers may not be aware of how boring 886 00:49:34,480 --> 00:49:37,640 Speaker 1: control conditions with non alcoholic drinks can be, in these cases, 887 00:49:37,840 --> 00:49:44,600 Speaker 1: we would include one in the next study that science guys, 888 00:49:44,760 --> 00:49:47,960 Speaker 1: that's like your eighth grade science teacher like being like, no, 889 00:49:48,160 --> 00:49:53,120 Speaker 1: you did not do this experiment correctly. Look, if you 890 00:49:53,200 --> 00:49:56,920 Speaker 1: were there in the backyard like doing this experiment, you 891 00:49:56,920 --> 00:49:59,359 Speaker 1: wouldn't know that it's stupid too, Like you wouldn't even 892 00:49:59,360 --> 00:50:01,760 Speaker 1: done it. I guess I'll do over the next one. Plus, 893 00:50:01,760 --> 00:50:04,160 Speaker 1: they missed an opportunity because it's really fun to give 894 00:50:04,239 --> 00:50:08,000 Speaker 1: people a nonalcoholic beverage and tell them they're getting drunk 895 00:50:08,120 --> 00:50:11,399 Speaker 1: and see, like how wild that could just I mean, 896 00:50:11,480 --> 00:50:13,520 Speaker 1: that really should have been it to be like people 897 00:50:13,520 --> 00:50:15,400 Speaker 1: that you could have been like people at wine bars 898 00:50:15,440 --> 00:50:17,440 Speaker 1: are full of ship y'all. Let me tell you why, 899 00:50:17,440 --> 00:50:20,120 Speaker 1: because we gave them fucking juice and they said they 900 00:50:20,120 --> 00:50:24,239 Speaker 1: were feeling one with the universe. Then the one of 901 00:50:24,239 --> 00:50:26,080 Speaker 1: the sort of authors of the city just went on 902 00:50:26,160 --> 00:50:29,360 Speaker 1: again just to kind of clarify, Like, I'm not saying 903 00:50:29,480 --> 00:50:32,120 Speaker 1: we wine's gonna do all this, but this quote. I 904 00:50:32,200 --> 00:50:34,760 Speaker 1: believe that the appreciation of red wine and other alcoholic 905 00:50:34,800 --> 00:50:37,880 Speaker 1: beverages can be increased when we are more aware of 906 00:50:37,920 --> 00:50:41,760 Speaker 1: its effects on the mind. It also, it's also possible 907 00:50:41,800 --> 00:50:44,719 Speaker 1: that being aware of the effects of alcohol on consciousness 908 00:50:45,000 --> 00:50:48,959 Speaker 1: contribute contributes to healthier drinking styles by reducing impulsive drinking 909 00:50:49,000 --> 00:50:53,120 Speaker 1: that is characterized by lack of awareness. However, research is 910 00:50:53,160 --> 00:50:58,399 Speaker 1: needed to confirm this. Okay, folks, we're out o man. 911 00:50:59,560 --> 00:51:02,799 Speaker 1: So what they have the two things that they've discovered 912 00:51:03,200 --> 00:51:07,360 Speaker 1: People at wine bar enjoy wine. That's good study to 913 00:51:07,400 --> 00:51:11,959 Speaker 1: study for that second bullet point, like wines pretty good. 914 00:51:12,840 --> 00:51:15,799 Speaker 1: Like alcohol is not that bad after to drinks, just 915 00:51:15,840 --> 00:51:19,399 Speaker 1: like don't drinking, which like everybody knows, Like that's yeah, 916 00:51:19,440 --> 00:51:21,839 Speaker 1: if everybody just stopped at to drinks, that'd be great. 917 00:51:21,880 --> 00:51:25,240 Speaker 1: We wouldn't have the problems that we do with alcohol. 918 00:51:25,280 --> 00:51:28,799 Speaker 1: But that is not news to anybody, right. I know 919 00:51:28,880 --> 00:51:32,240 Speaker 1: some people with some wine stained teeth that will absolutely 920 00:51:32,440 --> 00:51:36,680 Speaker 1: uh yeah, I'm talking about this. I feel like wine 921 00:51:36,719 --> 00:51:39,120 Speaker 1: became the new beer of like because it was beer 922 00:51:39,200 --> 00:51:41,160 Speaker 1: in the nine News with the like, oh, I drink, 923 00:51:41,200 --> 00:51:43,360 Speaker 1: but I like drink on the lighter side of things, 924 00:51:43,440 --> 00:51:45,960 Speaker 1: and then it switched to become wine. I don't know. 925 00:51:46,120 --> 00:51:47,719 Speaker 1: I quit drinking a couple of years ago because I 926 00:51:47,719 --> 00:51:49,960 Speaker 1: have a bum stomach. And it is fascinating to like 927 00:51:50,040 --> 00:51:52,360 Speaker 1: be in a bunch of context where people are drinking 928 00:51:52,520 --> 00:51:55,759 Speaker 1: and like some people are legitimately horrified, but you like, 929 00:51:55,880 --> 00:52:01,080 Speaker 1: don't drink anymore, guys. It's not like a personal affront 930 00:52:01,080 --> 00:52:02,759 Speaker 1: to you. I just like I have to do this. 931 00:52:02,840 --> 00:52:06,360 Speaker 1: And I threw up, like that's not fun. You're saying 932 00:52:06,360 --> 00:52:08,920 Speaker 1: I have a dry I drink too much, right, I'm 933 00:52:08,920 --> 00:52:11,759 Speaker 1: like I'm probably high right now, Like I'm not a 934 00:52:11,880 --> 00:52:18,640 Speaker 1: judgment right, Yeah, interesting to see who really gets upset 935 00:52:18,680 --> 00:52:21,279 Speaker 1: when you're not drinking, because it's so like baked into 936 00:52:21,280 --> 00:52:23,680 Speaker 1: the fabric of so many things, and it's like, you know, 937 00:52:23,840 --> 00:52:25,640 Speaker 1: you hear people be like, oh, well, I can't do 938 00:52:25,680 --> 00:52:27,399 Speaker 1: that till I have a couple of drinks or like 939 00:52:27,480 --> 00:52:29,160 Speaker 1: you know, I need to get a little toasty, and 940 00:52:29,200 --> 00:52:33,080 Speaker 1: you're like, dude, not until I've had my wine? Yeah 941 00:52:33,080 --> 00:52:37,080 Speaker 1: really okay, all right? And finally I just wanted to 942 00:52:37,480 --> 00:52:39,080 Speaker 1: Every once in a while, we like to check him 943 00:52:39,120 --> 00:52:42,640 Speaker 1: with Netflix to see who's watching what, and they just 944 00:52:42,719 --> 00:52:47,960 Speaker 1: issued a overall list of the top TV that's ever 945 00:52:48,000 --> 00:52:51,520 Speaker 1: been available for streaming on Netflix, in the top films 946 00:52:51,560 --> 00:52:54,319 Speaker 1: that's ever been available, And yeah, I would I would 947 00:52:54,360 --> 00:52:57,440 Speaker 1: love to hear kate your thoughts on this. The big takeaway, 948 00:52:57,640 --> 00:53:00,040 Speaker 1: the big update is this is post squid Game, and 949 00:53:01,880 --> 00:53:07,200 Speaker 1: so the previous high had been Bridgetin at s million 950 00:53:07,960 --> 00:53:12,920 Speaker 1: hours viewed and now we have squid Game season one 951 00:53:13,000 --> 00:53:18,719 Speaker 1: at one point six billion, so it's almost triple the 952 00:53:18,760 --> 00:53:23,160 Speaker 1: previous high, and like the the second most watch show. 953 00:53:23,800 --> 00:53:26,920 Speaker 1: So like everything else is pretty much where where was 954 00:53:27,040 --> 00:53:29,239 Speaker 1: last time we checked that. I don't see too much 955 00:53:29,320 --> 00:53:35,200 Speaker 1: that's new you. It seems to be room. Uh yeah 956 00:53:35,520 --> 00:53:39,439 Speaker 1: you all right, you are running up the charts. Yeah wait, 957 00:53:39,440 --> 00:53:42,440 Speaker 1: hold on, I was on Netflix, Laura, give it a 958 00:53:42,480 --> 00:53:51,960 Speaker 1: fucking rest. Okay, So I guess I'm interested in hearing 959 00:53:51,960 --> 00:53:54,600 Speaker 1: your thoughts on like trends you're seeing broadly across the 960 00:53:54,600 --> 00:53:57,560 Speaker 1: types of screenplays they are like being greenlit and written 961 00:53:57,840 --> 00:54:01,960 Speaker 1: and like, I don't know, it seems like a socialist 962 00:54:02,040 --> 00:54:08,399 Speaker 1: critique of capitalism, like resonating with audiences, like like what 963 00:54:08,800 --> 00:54:11,080 Speaker 1: has been a revelation to a lot of people like 964 00:54:11,120 --> 00:54:13,759 Speaker 1: we're we're writers already on the case. Do you think 965 00:54:13,840 --> 00:54:16,400 Speaker 1: that that is going to be a new trend or 966 00:54:16,440 --> 00:54:18,719 Speaker 1: what are your thoughts on all that? I mean, let 967 00:54:18,800 --> 00:54:21,640 Speaker 1: us hope. So I do think it's incredibly fascinating that, 968 00:54:21,719 --> 00:54:24,080 Speaker 1: like the number one Netflix TV show of all time 969 00:54:24,360 --> 00:54:27,960 Speaker 1: is an international show that, like I'm not saying nobody 970 00:54:27,960 --> 00:54:30,279 Speaker 1: in Hollywood would have taken a chance on, but like 971 00:54:30,320 --> 00:54:32,880 Speaker 1: the creator has talked about, he got passes for like 972 00:54:33,000 --> 00:54:36,239 Speaker 1: ten years and then suddenly it becomes this monster hit 973 00:54:36,320 --> 00:54:39,080 Speaker 1: on Netflix. And I think it's a good lesson in 974 00:54:39,200 --> 00:54:43,200 Speaker 1: being like fuck the trends, like funk what everybody else says, 975 00:54:43,239 --> 00:54:45,560 Speaker 1: like make the thing you want to make and make 976 00:54:45,600 --> 00:54:49,640 Speaker 1: it well, and like the audience will find itself. I am. 977 00:54:49,680 --> 00:54:52,319 Speaker 1: I'm really interested that Netflix is sort of switching their 978 00:54:52,360 --> 00:54:55,319 Speaker 1: metric from the like two minutes watch to like what 979 00:54:55,440 --> 00:54:58,400 Speaker 1: is it now? An hour or like half of whatever 980 00:54:58,440 --> 00:55:03,319 Speaker 1: the thing is. It's not old Facebook style, but like 981 00:55:03,480 --> 00:55:05,759 Speaker 1: two minutes watched, you're like, yeah, that's like I went 982 00:55:05,880 --> 00:55:08,200 Speaker 1: to get a drink after my thing ended and two 983 00:55:08,200 --> 00:55:10,600 Speaker 1: minutes of Red Notice played. I did not watch Red 984 00:55:10,640 --> 00:55:14,160 Speaker 1: Notice like that. The Red Notice that is wild to 985 00:55:14,200 --> 00:55:16,160 Speaker 1: me though, that they're saying, what is it seventy four 986 00:55:16,200 --> 00:55:19,719 Speaker 1: million households watched Red Notice because like, I don't know 987 00:55:19,800 --> 00:55:24,279 Speaker 1: anybody who did um, But yeah, you know, I think 988 00:55:24,320 --> 00:55:27,440 Speaker 1: it's an interesting time for content. I am hoping we 989 00:55:27,560 --> 00:55:29,600 Speaker 1: keep on this trend of like, at least in the 990 00:55:29,640 --> 00:55:32,600 Speaker 1: immediate future. I don't want to see any media about COVID, 991 00:55:32,760 --> 00:55:36,520 Speaker 1: Like I don't want any topical like, oh, it's like 992 00:55:36,680 --> 00:55:39,240 Speaker 1: of the moment. We're like, we're like all the people 993 00:55:39,239 --> 00:55:41,239 Speaker 1: were like, oh, guys, but during Trump, we're going to 994 00:55:41,320 --> 00:55:43,920 Speaker 1: get so much good art. Like we did not, folks, 995 00:55:44,040 --> 00:55:46,120 Speaker 1: we did not get a bunch of good Trump art. 996 00:55:46,239 --> 00:55:49,480 Speaker 1: There's that one X Files episode that was like literally it. 997 00:55:50,040 --> 00:55:52,759 Speaker 1: But yeah, you know, it is interesting, Like I think 998 00:55:52,760 --> 00:55:55,040 Speaker 1: people are craving more if this sort of like feel 999 00:55:55,080 --> 00:55:58,200 Speaker 1: good escapist stuff like if ted Lasso comes out two 1000 00:55:58,239 --> 00:56:01,040 Speaker 1: years ago, I don't know fit has the same sort 1001 00:56:01,040 --> 00:56:03,960 Speaker 1: of reaction it does in the pandemic when everybody is 1002 00:56:04,040 --> 00:56:06,239 Speaker 1: home and like on the other side of that coin, 1003 00:56:06,360 --> 00:56:09,080 Speaker 1: I don't think everybody is like feeling bad watching five 1004 00:56:09,120 --> 00:56:12,960 Speaker 1: episodes of Tiger King if they're not like immediately quarantined. 1005 00:56:13,640 --> 00:56:15,799 Speaker 1: But I don't know. I think the thing that's most 1006 00:56:15,800 --> 00:56:18,799 Speaker 1: excited about streaming to me, just like generally, is that 1007 00:56:18,880 --> 00:56:20,600 Speaker 1: we might see a little bit of a bounce back 1008 00:56:20,640 --> 00:56:23,719 Speaker 1: in these sort of like middle budget movies that have 1009 00:56:23,840 --> 00:56:26,120 Speaker 1: been really swallowed up in the theatrical It's like you're 1010 00:56:26,160 --> 00:56:29,040 Speaker 1: either going super Indie Awards route or you're going huge 1011 00:56:29,080 --> 00:56:32,120 Speaker 1: tent pole for a studio. And there have been to 1012 00:56:32,200 --> 00:56:33,920 Speaker 1: some things I feel like that have been popping up 1013 00:56:33,920 --> 00:56:35,719 Speaker 1: on streaming that are a little bit more in that 1014 00:56:35,920 --> 00:56:41,000 Speaker 1: middle zone. So that's definitely exciting to me. Like bird Boxes, 1015 00:56:40,760 --> 00:56:43,399 Speaker 1: I guess that was like kind of a like there 1016 00:56:43,400 --> 00:56:45,279 Speaker 1: were a lot of effects and it had to create 1017 00:56:45,320 --> 00:56:48,560 Speaker 1: a post Puck elliptic reality, but it wasn't like what 1018 00:56:48,719 --> 00:56:51,760 Speaker 1: it wasn't like pre existing I p And it wasn't 1019 00:56:51,920 --> 00:56:54,359 Speaker 1: you know. An extraction is just basically a straight down 1020 00:56:54,360 --> 00:56:57,359 Speaker 1: the middle like action movie that used to be made 1021 00:56:57,360 --> 00:56:59,439 Speaker 1: in like the eighties and early nineties but not really 1022 00:56:59,480 --> 00:57:01,960 Speaker 1: so much any more. Yeah, the Extraction when they're is 1023 00:57:01,960 --> 00:57:04,360 Speaker 1: fascinating to me that that's like one of the most 1024 00:57:04,440 --> 00:57:07,239 Speaker 1: watch movies on the platform. And then The Irishman, which 1025 00:57:07,280 --> 00:57:09,920 Speaker 1: cost a ton of money but like it's all on 1026 00:57:10,000 --> 00:57:13,960 Speaker 1: the screen too, so you're like, Okay, like Martin, you 1027 00:57:14,000 --> 00:57:17,680 Speaker 1: get to Happy Birthday short Kang Martin Scorsese yesterday. But yeah, 1028 00:57:17,840 --> 00:57:20,800 Speaker 1: I think these trends are gonna be really interesting, especially 1029 00:57:20,840 --> 00:57:22,880 Speaker 1: as people like Scorsese are making like, you know, a 1030 00:57:22,960 --> 00:57:26,640 Speaker 1: hundred million dollar movies for Apple, which is his next one. Yeah, 1031 00:57:26,680 --> 00:57:29,720 Speaker 1: I think, you know, I don't know, Like sometimes I 1032 00:57:29,760 --> 00:57:32,000 Speaker 1: feel good, what I'm depressed to watch something like really 1033 00:57:32,040 --> 00:57:35,080 Speaker 1: feel bad and nihilistic, But like, I don't know, after 1034 00:57:35,160 --> 00:57:36,920 Speaker 1: the last couple of years, you're like, I don't know 1035 00:57:36,960 --> 00:57:41,200 Speaker 1: how much brain bandwidth I have for anything, let alone somethings. Yeah, 1036 00:57:41,360 --> 00:57:44,360 Speaker 1: it's gonna make me feel terrible, so I will just 1037 00:57:44,400 --> 00:57:50,520 Speaker 1: watch another episode of Bake Off. Do you like? I 1038 00:57:50,680 --> 00:57:53,680 Speaker 1: think do you think that there's because I've been wondering 1039 00:57:53,720 --> 00:57:58,760 Speaker 1: if we're not headed for a like time when conservative 1040 00:57:58,840 --> 00:58:02,600 Speaker 1: like in the eighties, you know, conservative media was kind 1041 00:58:02,640 --> 00:58:05,600 Speaker 1: of a thing, or like the Reaganism was kind of 1042 00:58:05,600 --> 00:58:09,320 Speaker 1: a thing. Do you foresee that or like, have you 1043 00:58:09,360 --> 00:58:13,400 Speaker 1: seen any trends towards that in like the screenplays are 1044 00:58:13,400 --> 00:58:17,280 Speaker 1: getting made, or like just any like regressing a little 1045 00:58:17,280 --> 00:58:19,480 Speaker 1: bit in that sense. Yeah, I mean I think this 1046 00:58:19,560 --> 00:58:22,400 Speaker 1: moment that we're in in terms of justlike new satanic 1047 00:58:22,480 --> 00:58:25,320 Speaker 1: panic or like all of the shady ship that's been 1048 00:58:25,360 --> 00:58:28,560 Speaker 1: going on around credit card companies and banks and sex 1049 00:58:28,600 --> 00:58:32,640 Speaker 1: workers and the sort of like you know, crushed to 1050 00:58:32,640 --> 00:58:36,120 Speaker 1: to make everything, like I don't know, more palatable for 1051 00:58:36,360 --> 00:58:39,520 Speaker 1: all audiences, or like I don't know, I noticed this 1052 00:58:39,560 --> 00:58:42,120 Speaker 1: all the time on Twitter, like people being like I 1053 00:58:42,200 --> 00:58:44,440 Speaker 1: had a hard time with this piece of media. So 1054 00:58:44,520 --> 00:58:48,000 Speaker 1: it's like inherently terrible to portray this subject because it 1055 00:58:48,080 --> 00:58:50,600 Speaker 1: was triggering to me, which I think is an interesting 1056 00:58:50,640 --> 00:58:53,280 Speaker 1: conversation to have. But I also don't think we can 1057 00:58:53,360 --> 00:58:57,760 Speaker 1: just like dismiss media wholesale because like it was upsetting 1058 00:58:57,840 --> 00:59:01,000 Speaker 1: to us, like you know, a very a specific person. 1059 00:59:01,080 --> 00:59:02,840 Speaker 1: I don't mean in the sense of like you know, 1060 00:59:03,080 --> 00:59:07,040 Speaker 1: Chappelle making the transfers. That's a different conversation, but like, 1061 00:59:07,080 --> 00:59:09,920 Speaker 1: you know, the shitty boyfriend in this thing reminds me 1062 00:59:10,000 --> 00:59:12,320 Speaker 1: of my former shitty boyfriends, So the whole thing is 1063 00:59:12,360 --> 00:59:14,640 Speaker 1: bad and we should canceled it. Like that's a different, 1064 00:59:15,040 --> 00:59:17,400 Speaker 1: different line of thinking. But yeah, I mean, I think 1065 00:59:17,440 --> 00:59:21,160 Speaker 1: you'll get to see some of these like new conservative movies. Um, 1066 00:59:21,200 --> 00:59:28,920 Speaker 1: like what's Ben Shapiro doing like that whole school shooting movie. Yeah, 1067 00:59:29,240 --> 00:59:31,960 Speaker 1: it's a it's a no thanks for me, folks, but yeah, 1068 00:59:32,040 --> 00:59:34,200 Speaker 1: I mean the thing I always point to with this 1069 00:59:34,320 --> 00:59:35,920 Speaker 1: is like, you know, there are a bunch of those 1070 00:59:35,960 --> 00:59:39,360 Speaker 1: like inspirational Jesus e movies that get made every year, 1071 00:59:39,880 --> 00:59:41,880 Speaker 1: and they seem like they fly under the radar. But 1072 00:59:41,920 --> 00:59:44,000 Speaker 1: then you look and you're like, oh, this movie cost 1073 00:59:44,080 --> 00:59:46,880 Speaker 1: two million dollars and made forty million dollars and I've 1074 00:59:46,960 --> 00:59:49,840 Speaker 1: ever heard of it. Like yeah, so I don't know, 1075 00:59:50,040 --> 00:59:52,960 Speaker 1: I'm sure leaving money on the table. Yeah, you know, 1076 00:59:53,040 --> 00:59:55,520 Speaker 1: you can write the funk out of a Jesus movie. 1077 00:59:55,600 --> 00:59:57,080 Speaker 1: That'd be like, this is one of the best ones 1078 00:59:57,120 --> 01:00:01,480 Speaker 1: I've ever seen. Yeah, to keep it holy. You know, 1079 01:00:01,600 --> 01:00:05,080 Speaker 1: I speak the language. I was indoctrinated for K through twelve, 1080 01:00:05,200 --> 01:00:07,720 Speaker 1: So yeah, I'll stay in bounced. But yeah, it's gonna 1081 01:00:07,760 --> 01:00:10,400 Speaker 1: be interesting. I feel like, you know, this sort of 1082 01:00:10,480 --> 01:00:13,960 Speaker 1: like like all the parents who were outraged about Disney 1083 01:00:14,000 --> 01:00:16,680 Speaker 1: putting like, you know, sort of content warnings on some 1084 01:00:16,760 --> 01:00:20,919 Speaker 1: of the more problematic older movies and stuff. I don't know, like, 1085 01:00:21,320 --> 01:00:23,360 Speaker 1: you know, at what point do those folks totally give 1086 01:00:23,440 --> 01:00:26,200 Speaker 1: up on like traditional media and start doing their own 1087 01:00:26,240 --> 01:00:29,480 Speaker 1: thing because it's too biased or too woke or whatever. 1088 01:00:29,920 --> 01:00:31,640 Speaker 1: But you know, I don't know. I don't see those 1089 01:00:31,640 --> 01:00:35,000 Speaker 1: Disney adults giving it up. No no, no, no, no no. 1090 01:00:35,600 --> 01:00:39,360 Speaker 1: So it's religion, it's religion. I mean, my my the 1091 01:00:39,480 --> 01:00:43,880 Speaker 1: thing is that the way that they've taken like the 1092 01:00:43,960 --> 01:00:48,680 Speaker 1: legitimate complaints of you know, people of color or you know, 1093 01:00:48,720 --> 01:00:51,840 Speaker 1: people who are poor and people who like don't have 1094 01:00:51,960 --> 01:00:55,680 Speaker 1: enough money to have healthcare in America, Like, the way 1095 01:00:55,680 --> 01:00:59,240 Speaker 1: they've taken those is they've like made it into like 1096 01:00:59,520 --> 01:01:02,920 Speaker 1: converse stations about like warnings on Disney movies. And I 1097 01:01:02,920 --> 01:01:08,800 Speaker 1: think by doing that they are making like that those 1098 01:01:08,880 --> 01:01:13,280 Speaker 1: initial legitimate complaints seem ridiculous. And so that's what that's 1099 01:01:13,280 --> 01:01:18,600 Speaker 1: where my area of concern is, is that that becomes 1100 01:01:18,600 --> 01:01:22,360 Speaker 1: the mainstream like I thought people have when they hear 1101 01:01:22,480 --> 01:01:25,360 Speaker 1: woke or they hear like anything coming from the left, 1102 01:01:25,440 --> 01:01:27,680 Speaker 1: is like, oh, you just like are worried about like 1103 01:01:27,760 --> 01:01:30,520 Speaker 1: content warnings or whatever. And I think they're kind of 1104 01:01:30,560 --> 01:01:33,840 Speaker 1: succeeding in doing that. And I'm a little worried about that. Yeah, 1105 01:01:34,080 --> 01:01:35,880 Speaker 1: I don't know too. I think we've had we have 1106 01:01:35,920 --> 01:01:38,360 Speaker 1: a real problem in American media right now in terms 1107 01:01:38,400 --> 01:01:41,480 Speaker 1: of how we're exploring class, Like I don't know, like 1108 01:01:41,560 --> 01:01:43,880 Speaker 1: my favorite movie is Pretty in Pink, right, nobody's idea 1109 01:01:43,920 --> 01:01:46,560 Speaker 1: of like a great cinematic masterpiece. But you think about 1110 01:01:46,600 --> 01:01:48,880 Speaker 1: like that movie at its core is about class and 1111 01:01:48,960 --> 01:01:52,680 Speaker 1: about rich boy, poor girl and how that affects their relationship. 1112 01:01:52,840 --> 01:01:55,000 Speaker 1: And like grew up in the nineties, we had things 1113 01:01:55,080 --> 01:01:58,520 Speaker 1: like you know, like Roseanne or like a different world 1114 01:01:58,600 --> 01:02:00,680 Speaker 1: that we're sort of like delving in to class and 1115 01:02:00,680 --> 01:02:03,080 Speaker 1: how it affects people's lives. And we're living in this 1116 01:02:03,120 --> 01:02:06,040 Speaker 1: incredible moment where like a lot of folks are getting 1117 01:02:06,040 --> 01:02:08,200 Speaker 1: wise to the fact that the system is and has 1118 01:02:08,240 --> 01:02:11,120 Speaker 1: been screwing us for many, many years, And you would 1119 01:02:11,160 --> 01:02:13,720 Speaker 1: think that we'd be seeing more media sort of address 1120 01:02:13,800 --> 01:02:16,160 Speaker 1: those big classifiedes. And I think something like Squitch game 1121 01:02:16,200 --> 01:02:20,280 Speaker 1: shows that people have a real appetite for it. Yeah, 1122 01:02:20,320 --> 01:02:22,640 Speaker 1: but you're like, why aren't we making more of this, 1123 01:02:22,800 --> 01:02:26,240 Speaker 1: Like where is the sort of like today's Roseanne? Because like, 1124 01:02:26,680 --> 01:02:30,160 Speaker 1: you know, look, I think that as many like terrible 1125 01:02:30,160 --> 01:02:32,600 Speaker 1: conservative people as there are in the world, I think 1126 01:02:32,640 --> 01:02:35,760 Speaker 1: about like my dad's family, who's like, you know, a 1127 01:02:35,800 --> 01:02:39,520 Speaker 1: bunch of Kentucky coal miners but have voted Democrat every election, 1128 01:02:39,720 --> 01:02:43,040 Speaker 1: like have always leaned liberal. It's like there's nothing that 1129 01:02:43,120 --> 01:02:46,040 Speaker 1: represents them, Like there's nothing that sort of speaks to 1130 01:02:46,120 --> 01:02:49,160 Speaker 1: being like, you know, lower middle class are working poor 1131 01:02:49,200 --> 01:02:51,720 Speaker 1: in America right now, when that's the reality for a 1132 01:02:51,720 --> 01:02:53,840 Speaker 1: lot of people, and there are ways to do that 1133 01:02:53,840 --> 01:02:56,160 Speaker 1: that it's not like eating your vegetables and not just 1134 01:02:56,200 --> 01:03:00,120 Speaker 1: like social realism. I think that's why South Side is 1135 01:03:00,560 --> 01:03:03,520 Speaker 1: a fucking it's like almost flawless, and that these people 1136 01:03:03,520 --> 01:03:06,760 Speaker 1: have normal fucking jobs, and it's very centered in the 1137 01:03:06,800 --> 01:03:08,640 Speaker 1: fact that it's not like, hey, we made it to 1138 01:03:08,760 --> 01:03:11,080 Speaker 1: Hollywood and now we're famous, so now we can just 1139 01:03:11,080 --> 01:03:13,560 Speaker 1: write from our experience now and leave all this other 1140 01:03:13,560 --> 01:03:15,800 Speaker 1: ship behind. I think that's like one of the things 1141 01:03:15,880 --> 01:03:19,240 Speaker 1: I love about Southside is that it really you're like, 1142 01:03:19,280 --> 01:03:22,680 Speaker 1: oh ship, this feels very like working class and it's 1143 01:03:22,800 --> 01:03:25,480 Speaker 1: touching on like what what just the day to day 1144 01:03:25,480 --> 01:03:28,920 Speaker 1: would be, although very heightened for comedic purposes, but it's 1145 01:03:28,960 --> 01:03:31,560 Speaker 1: still centered in like that world rather than I think 1146 01:03:31,680 --> 01:03:33,320 Speaker 1: you look at most shows now it's like people who 1147 01:03:33,400 --> 01:03:37,520 Speaker 1: live in impossible apartments with impossible incomes and there's no 1148 01:03:37,560 --> 01:03:39,479 Speaker 1: real talk about it because it's about the it's about 1149 01:03:39,520 --> 01:03:43,080 Speaker 1: the struggle with the characters, and while also feeding people 1150 01:03:43,120 --> 01:03:45,160 Speaker 1: this idea, it's like, well, why aren't you rich like 1151 01:03:45,240 --> 01:03:49,160 Speaker 1: these people on the screen. It's the difference between like, yeah, 1152 01:03:49,160 --> 01:03:51,640 Speaker 1: they're they're Most shows just take place in the world 1153 01:03:51,640 --> 01:03:55,880 Speaker 1: where money there. There is no financial reality, so like 1154 01:03:55,880 --> 01:03:58,200 Speaker 1: it might as well not have gravity, Like that's how 1155 01:03:58,320 --> 01:04:00,440 Speaker 1: like just oft it is. It's to pervade ace of 1156 01:04:00,480 --> 01:04:03,880 Speaker 1: like carry lives in like an incredible apartment and they're 1157 01:04:03,920 --> 01:04:07,840 Speaker 1: like Sherman Palladino shows like her shows are like that too, 1158 01:04:07,960 --> 01:04:10,840 Speaker 1: or I'm like, I'm sorry, does she where's the childcare 1159 01:04:11,080 --> 01:04:13,960 Speaker 1: for this woman's kids? If she's out doing open mics, 1160 01:04:14,000 --> 01:04:18,400 Speaker 1: Like where's that discussion? But the like shows like Atlanta 1161 01:04:18,600 --> 01:04:23,320 Speaker 1: and Squid Game like feel you know, revolutionary just by 1162 01:04:23,360 --> 01:04:26,800 Speaker 1: being like no money is the thing. People need it 1163 01:04:26,880 --> 01:04:30,080 Speaker 1: to survive and that is a central conflict of their lives. 1164 01:04:30,560 --> 01:04:34,040 Speaker 1: And I think that goes to say, start empowering creators 1165 01:04:34,080 --> 01:04:37,920 Speaker 1: writers who like are coming drawing from that experience rather 1166 01:04:37,960 --> 01:04:39,280 Speaker 1: than like I feel like so many people now are 1167 01:04:39,280 --> 01:04:40,880 Speaker 1: get in the habit of like, Okay, well this is 1168 01:04:40,920 --> 01:04:43,200 Speaker 1: what's popping in the industry. This is what I'll try 1169 01:04:43,240 --> 01:04:46,880 Speaker 1: and do on spec or whatever, rather than like creating 1170 01:04:46,880 --> 01:04:49,439 Speaker 1: more momentum and say like, hey, your story about being 1171 01:04:49,680 --> 01:04:53,640 Speaker 1: a fucking janitor or whatever. That's valid and guess what 1172 01:04:53,960 --> 01:04:57,640 Speaker 1: more people do what you do than are Kendall roy 1173 01:04:58,120 --> 01:05:03,360 Speaker 1: so well need escapism, Like I'm not arguing that, like, yeah, 1174 01:05:03,480 --> 01:05:05,800 Speaker 1: that's fine, all that stuff can remain. We just need 1175 01:05:05,880 --> 01:05:08,720 Speaker 1: more of the other side, more of the like counterweight, 1176 01:05:08,760 --> 01:05:11,120 Speaker 1: because yeah, I think a lot of people would appreciate 1177 01:05:11,240 --> 01:05:15,160 Speaker 1: like more sitcoms, more movies that are like speaking to 1178 01:05:15,280 --> 01:05:18,960 Speaker 1: some actual real problem ship then like you know, another 1179 01:05:19,320 --> 01:05:23,080 Speaker 1: another superhero origin story. You know, it may just be 1180 01:05:23,160 --> 01:05:26,800 Speaker 1: like sort of at this moment where they the they 1181 01:05:26,880 --> 01:05:28,760 Speaker 1: have people have to be aware of the level of 1182 01:05:28,800 --> 01:05:32,080 Speaker 1: class consciousness that's existing in the content because it tends 1183 01:05:32,120 --> 01:05:35,320 Speaker 1: to have a really potent effect on somebody watching. Like 1184 01:05:35,640 --> 01:05:38,240 Speaker 1: Squid Game, people went, damn, that's just wild. They got 1185 01:05:38,280 --> 01:05:40,160 Speaker 1: killed over red light, green light, And then by the 1186 01:05:40,160 --> 01:05:43,560 Speaker 1: third episode people were like, comrade, I am ready to 1187 01:05:44,040 --> 01:05:47,760 Speaker 1: bring the capitalist system down because it connects these things 1188 01:05:47,760 --> 01:05:50,200 Speaker 1: in a very real way. And I think and if 1189 01:05:50,200 --> 01:05:53,800 Speaker 1: I was some you know, whatever, if they're if the 1190 01:05:53,800 --> 01:05:57,520 Speaker 1: Illuminati exists type person the people who are like looking 1191 01:05:57,560 --> 01:05:59,919 Speaker 1: at what is happening in the world. You'd be like, yeah, 1192 01:06:00,040 --> 01:06:03,480 Speaker 1: content like that actually has a lot of communicative power. 1193 01:06:04,000 --> 01:06:07,720 Speaker 1: But yeah, well, will will we invest in that? I hope, 1194 01:06:07,800 --> 01:06:10,560 Speaker 1: I hope we do, because more squid games please, we 1195 01:06:10,680 --> 01:06:13,520 Speaker 1: need it. Left squid Game parties hosted by Chrissy Tag 1196 01:06:13,600 --> 01:06:17,919 Speaker 1: I'm just completely missing the point. It's like, yeah, so 1197 01:06:17,960 --> 01:06:22,120 Speaker 1: fun dying in this capitalist how whole, What a great 1198 01:06:22,160 --> 01:06:28,760 Speaker 1: time with my girls. Let's plays for your organs. We'll 1199 01:06:28,800 --> 01:06:32,000 Speaker 1: have real poor people at my party. Yeah, they're gonna 1200 01:06:32,000 --> 01:06:34,440 Speaker 1: and they're legit poor people, Like it's crazy, like they 1201 01:06:34,480 --> 01:06:39,439 Speaker 1: smell on everything, Like oh okay, okay. It's been such 1202 01:06:39,440 --> 01:06:42,080 Speaker 1: a pleasure having you as always. Where can people find 1203 01:06:42,080 --> 01:06:44,040 Speaker 1: you and follow you? Yeah? You find me on Twitter 1204 01:06:44,120 --> 01:06:47,120 Speaker 1: and Instagram at that Hagen girl th h A t 1205 01:06:47,720 --> 01:06:51,000 Speaker 1: h A g E n g r r l um. 1206 01:06:51,040 --> 01:06:54,640 Speaker 1: You can find me related to Blacklist happenings. I'm on 1207 01:06:54,640 --> 01:06:57,920 Speaker 1: a bunch of podcasts. Yeah, pop over on Twitter. That's 1208 01:06:57,960 --> 01:07:03,760 Speaker 1: probably where I'm most active still and fortnately and uh, 1209 01:07:03,960 --> 01:07:05,680 Speaker 1: is there a tweet or some of the work of 1210 01:07:05,800 --> 01:07:08,920 Speaker 1: social media you've been enjoying. You know, we we've been 1211 01:07:08,920 --> 01:07:11,520 Speaker 1: talking about weed a lot this episode, and there is 1212 01:07:11,560 --> 01:07:14,200 Speaker 1: a meme that's been going around that is, if you're 1213 01:07:14,240 --> 01:07:17,640 Speaker 1: ever sad, just remember the world is four point five 1214 01:07:17,760 --> 01:07:20,680 Speaker 1: billion years old and you somehow managed to exist in 1215 01:07:20,720 --> 01:07:23,680 Speaker 1: the same time as the weed pen, which is so true. 1216 01:07:24,680 --> 01:07:27,520 Speaker 1: It's a good imagine telling your seventeen year old self 1217 01:07:27,560 --> 01:07:29,680 Speaker 1: you would have just like a cool weed vape that 1218 01:07:29,720 --> 01:07:33,440 Speaker 1: you can smoke anywhere. I have three pairs. I have 1219 01:07:33,520 --> 01:07:35,880 Speaker 1: three outfits in my car to change in and out 1220 01:07:35,880 --> 01:07:38,720 Speaker 1: of to smoke on my way to minimum wage job. 1221 01:07:41,000 --> 01:07:43,360 Speaker 1: Miles Where can people find you with tweet you've been enjoying. 1222 01:07:43,840 --> 01:07:47,400 Speaker 1: You can find me on Twitter and Instagram at Miles 1223 01:07:47,640 --> 01:07:50,520 Speaker 1: of Gray and also catch the other show four twenty 1224 01:07:50,600 --> 01:07:54,720 Speaker 1: Day Fiance. Speaking of weed, where we talk about that's Sophia, 1225 01:07:54,720 --> 01:07:57,480 Speaker 1: Alexandra and I some tweets that I like. First, one 1226 01:07:57,560 --> 01:08:00,640 Speaker 1: is from Dana Bad is from Dana Donley's all account. 1227 01:08:00,880 --> 01:08:04,200 Speaker 1: You just coxed her bro No, it's it's it's on there. 1228 01:08:04,720 --> 01:08:06,880 Speaker 1: Come on now, come on now, I mean, or maybe not, 1229 01:08:07,040 --> 01:08:09,280 Speaker 1: maybe you didn't get it when it said bad Dana. 1230 01:08:09,560 --> 01:08:12,720 Speaker 1: Dana Bad is the handle for that and damn for 1231 01:08:12,760 --> 01:08:15,480 Speaker 1: an altout already almost got fiftyk followers to keep your 1232 01:08:15,480 --> 01:08:18,040 Speaker 1: eye on her. Speaking of weed, I'm getting an eye 1233 01:08:18,080 --> 01:08:20,720 Speaker 1: exam and I was like, I smoked weed before this? 1234 01:08:20,760 --> 01:08:23,519 Speaker 1: Will that affect my results? And the optomics tress was like, 1235 01:08:23,720 --> 01:08:27,960 Speaker 1: why did you smoke weed before this? It's twelve pm. Okay, 1236 01:08:28,080 --> 01:08:32,000 Speaker 1: I guess she's not about this life. It feels right. 1237 01:08:32,040 --> 01:08:35,200 Speaker 1: And another one from Connor Wood at fibula f I 1238 01:08:35,240 --> 01:08:37,479 Speaker 1: b U l A A don't really drunk text, but 1239 01:08:37,560 --> 01:08:39,559 Speaker 1: I'll have two coffees on an empty stomach and send 1240 01:08:39,600 --> 01:08:42,679 Speaker 1: the most humiliating message of my life before ten am. 1241 01:08:47,040 --> 01:08:49,280 Speaker 1: H ship. Let's see. You can find me on Twitter 1242 01:08:49,320 --> 01:08:53,360 Speaker 1: at Jack Underscore O'Brien tweet I've been enjoying. Josh Gondleman 1243 01:08:53,400 --> 01:08:56,600 Speaker 1: tweeted if Ebene's er Scrooge existed today, he'd have a 1244 01:08:56,640 --> 01:08:59,000 Speaker 1: wife half his age and spend Christmas on a private 1245 01:08:59,000 --> 01:09:02,160 Speaker 1: island and every think about the Cratchet family plus the 1246 01:09:02,200 --> 01:09:07,120 Speaker 1: ghosts will get doctor by as Twitter fan boys. Yeah, 1247 01:09:07,600 --> 01:09:10,320 Speaker 1: there's no way he would ever come into context with 1248 01:09:10,320 --> 01:09:12,679 Speaker 1: the people who work for him, Like it's done. Funny 1249 01:09:12,680 --> 01:09:16,439 Speaker 1: out of years that you can find us on Twitter 1250 01:09:16,479 --> 01:09:19,360 Speaker 1: at daily Zeitgeist. Were at the daily site Geist on Instagram. 1251 01:09:19,360 --> 01:09:22,200 Speaker 1: We have Facebook fan page and a website, daily zeitgeist 1252 01:09:22,240 --> 01:09:24,880 Speaker 1: dot com where we post our episodes on our footnotes 1253 01:09:25,920 --> 01:09:27,519 Speaker 1: where we link off to the information that we talked 1254 01:09:27,560 --> 01:09:29,800 Speaker 1: about today is episode as well as a song that 1255 01:09:29,840 --> 01:09:32,080 Speaker 1: we think you might enjoy. Myles, what song do we 1256 01:09:32,120 --> 01:09:34,640 Speaker 1: think people might enjoy? This is a new band I 1257 01:09:34,800 --> 01:09:38,400 Speaker 1: just stumbled upon from I believe I want to say Germany. 1258 01:09:38,520 --> 01:09:42,759 Speaker 1: Let me just confirm that, yep, Leipzig. They are called 1259 01:09:42,880 --> 01:09:47,360 Speaker 1: Mutel Kabbala Power Ensemble and what they do is like 1260 01:09:47,560 --> 01:09:51,080 Speaker 1: a very interesting They sound like if like kids in 1261 01:09:51,120 --> 01:09:53,519 Speaker 1: Europe only listening to like Morning becomes Eclectic on k 1262 01:09:53,600 --> 01:09:56,920 Speaker 1: CRW and then start a band because they're all like 1263 01:09:56,960 --> 01:09:59,320 Speaker 1: these German guys, but they're playing the funk out of 1264 01:09:59,360 --> 01:10:03,200 Speaker 1: like afro be like funky sort of samba. Like. Their 1265 01:10:03,240 --> 01:10:06,479 Speaker 1: foundation is very much built in like world like world music, 1266 01:10:06,840 --> 01:10:09,800 Speaker 1: very rhythmic music. So when I first heard this little 1267 01:10:09,840 --> 01:10:12,360 Speaker 1: opening like pluck baseline, I was like, oh, this is 1268 01:10:12,400 --> 01:10:15,240 Speaker 1: fucking nasty. So this is a track called Mamori m 1269 01:10:15,240 --> 01:10:18,439 Speaker 1: A m A r I by the Muto Cabella Power 1270 01:10:18,600 --> 01:10:22,200 Speaker 1: Ensemble and it's just just good instrumental music, so you know, 1271 01:10:22,280 --> 01:10:24,639 Speaker 1: take that into your weekend. Alright, Well, we're gonna link 1272 01:10:24,680 --> 01:10:27,120 Speaker 1: off them and put notes, so go check it out. 1273 01:10:27,520 --> 01:10:29,679 Speaker 1: The Daily Zeika is the production of I Heart Radio 1274 01:10:29,720 --> 01:10:31,760 Speaker 1: for More podcast for my Heart Radio, visit the I 1275 01:10:31,800 --> 01:10:33,960 Speaker 1: Heart Radio app, Apple podcast, or wherever you listen to 1276 01:10:33,960 --> 01:10:35,720 Speaker 1: your favorite shows. That is going to do it for 1277 01:10:35,800 --> 01:10:38,240 Speaker 1: us this morning, but we're back this afternoon to tell 1278 01:10:38,240 --> 01:10:40,920 Speaker 1: you what's trending and we will talk to Y'allton Fight