1 00:00:00,440 --> 00:00:05,040 Speaker 1: Today, we review the President's wild weekend of sports, the 2 00:00:05,120 --> 00:00:09,160 Speaker 1: war of words between kJ you and Donald Trump, Will 3 00:00:09,160 --> 00:00:13,320 Speaker 1: it kill us All? Probably? And Taylor Tega looks into 4 00:00:13,360 --> 00:00:17,239 Speaker 1: Hollywood's weird habit of making pedophile teachers praying on high 5 00:00:17,239 --> 00:00:22,800 Speaker 1: school students seem sexy, Why America is ill prepared for Everything, 6 00:00:23,560 --> 00:00:30,400 Speaker 1: and more on today's Factor, Hello the Internet, and welcome 7 00:00:30,480 --> 00:00:35,280 Speaker 1: to the Daily Zikeeist. It's Monday, September. I'm Jack O'Brien. 8 00:00:36,159 --> 00:00:39,599 Speaker 1: That is my co host, Miles. What a weekend? And 9 00:00:39,760 --> 00:00:44,040 Speaker 1: before we get to our guest, Alison Zeidman, Uh yeah, 10 00:00:44,080 --> 00:00:46,800 Speaker 1: what a weekend. Uh, it was a It was a 11 00:00:46,840 --> 00:00:50,280 Speaker 1: weekend of sporting events. I guess you could say a 12 00:00:50,320 --> 00:00:53,320 Speaker 1: lot of sport. Yeah, a lot of sport. Uh. Starting 13 00:00:53,320 --> 00:00:57,440 Speaker 1: on Friday night, the President was was down in Alabama 14 00:00:58,120 --> 00:01:02,200 Speaker 1: stumping for What's to do name Luther Strange. Strange. It 15 00:01:02,240 --> 00:01:06,480 Speaker 1: sounds like a member of two Life Crew. Uh. He 16 00:01:06,600 --> 00:01:10,600 Speaker 1: was stumping for him, and uh, you know, going off 17 00:01:10,640 --> 00:01:17,480 Speaker 1: prompter as he has want to do jazz Trump, Jazz Trump. Uh. 18 00:01:17,520 --> 00:01:19,920 Speaker 1: I think I think mainly because he can't read. He 19 00:01:19,920 --> 00:01:23,760 Speaker 1: he hates teleprompters and uh so he was just doing 20 00:01:23,880 --> 00:01:28,200 Speaker 1: his riffing, and uh got on the subject. I don't 21 00:01:28,200 --> 00:01:31,920 Speaker 1: think by accident. People. People seem to be suggesting that 22 00:01:31,959 --> 00:01:35,560 Speaker 1: it was by accident, And I think he has a 23 00:01:35,640 --> 00:01:40,240 Speaker 1: sort of ineffable ability to zero in on whatever is 24 00:01:40,280 --> 00:01:43,560 Speaker 1: pissing off his base of you know, racist white people. 25 00:01:44,040 --> 00:01:49,360 Speaker 1: And uh, he landed on the subject of NFL players 26 00:01:49,520 --> 00:01:53,840 Speaker 1: kneeling during the national anthem, which had been a thing. 27 00:01:54,600 --> 00:01:59,560 Speaker 1: You know, obviously Kaepernick started it last season. Uh, there 28 00:01:59,760 --> 00:02:03,440 Speaker 1: there're a lot of controversy surrounding it. He was blackballed 29 00:02:03,480 --> 00:02:07,840 Speaker 1: in the off season. To show solidarity, a bunch of 30 00:02:07,960 --> 00:02:12,720 Speaker 1: players were kneeling during the national anthems. Uh, thus far 31 00:02:12,840 --> 00:02:15,760 Speaker 1: for the first two weeks of this season. But as 32 00:02:15,760 --> 00:02:18,520 Speaker 1: a story, it had sort of been petering out, like 33 00:02:18,560 --> 00:02:22,360 Speaker 1: I feel like it hadn't. It wasn't really growing, If anything, 34 00:02:22,360 --> 00:02:26,200 Speaker 1: it was dying out. And then Uh, the Dawn chose 35 00:02:26,280 --> 00:02:30,240 Speaker 1: to to riff his trump jazz all over it, and 36 00:02:30,520 --> 00:02:33,040 Speaker 1: we're just gonna play a small excerpt from one of 37 00:02:33,040 --> 00:02:35,639 Speaker 1: the more subtle moments. Wouldn't you love to see one 38 00:02:35,639 --> 00:02:40,639 Speaker 1: of these NFL owners when somebody disrespects our flag to say, 39 00:02:40,680 --> 00:02:43,200 Speaker 1: get that son of a bitch off the field. Right 40 00:02:43,240 --> 00:02:50,320 Speaker 1: now out he's fired. He's fired. Wow. I mean also, 41 00:02:50,480 --> 00:02:52,440 Speaker 1: it's interesting to think of that comment to in the 42 00:02:52,480 --> 00:02:55,480 Speaker 1: context of him about to take another l on Obamacare, 43 00:02:55,960 --> 00:02:58,400 Speaker 1: so like he was already probably feeling some kind of 44 00:02:58,400 --> 00:03:00,440 Speaker 1: way at that rally, and like then he's like, let 45 00:03:00,440 --> 00:03:02,160 Speaker 1: me just get some other ship out that. I know 46 00:03:02,240 --> 00:03:06,200 Speaker 1: you guys are not like that. It's interesting that, you know, 47 00:03:06,680 --> 00:03:09,640 Speaker 1: in the past couple of weeks a lot of people 48 00:03:09,680 --> 00:03:12,160 Speaker 1: in sports have have found their way into his crosshairs, 49 00:03:12,200 --> 00:03:16,520 Speaker 1: whether it's the NFL or Steph Curry or sportscasters at ESPN. 50 00:03:17,200 --> 00:03:19,639 Speaker 1: It seems like, uh, if you're a person of color 51 00:03:19,680 --> 00:03:21,919 Speaker 1: with any kind of opinion right now, you're you're gonna 52 00:03:22,080 --> 00:03:25,079 Speaker 1: you're gonna get I hadn't noticed that. Yeah, those are 53 00:03:25,120 --> 00:03:27,680 Speaker 1: all people of color. That's weird. And sports when you 54 00:03:27,680 --> 00:03:30,520 Speaker 1: think that, you know, the NFL about like nearly seventy 55 00:03:30,560 --> 00:03:34,120 Speaker 1: percent blacks in terms of the players, the NBA, uh 56 00:03:34,400 --> 00:03:38,320 Speaker 1: not majority white sport. So but then he'll like big 57 00:03:38,400 --> 00:03:41,560 Speaker 1: up NASCAR in another tweet, Who's like, oh, you know NASCAR, 58 00:03:41,600 --> 00:03:44,920 Speaker 1: good people at NASCAR, which is conversely like the whitest 59 00:03:44,960 --> 00:03:47,600 Speaker 1: sport in the country. And I think only recently they 60 00:03:47,640 --> 00:03:50,240 Speaker 1: only had their first black driver since like two thousand 61 00:03:50,280 --> 00:03:53,560 Speaker 1: and six. But wait, what did he say about Nascar? 62 00:03:54,240 --> 00:03:58,080 Speaker 1: He first after talking about you know, the NFL isn't 63 00:03:58,160 --> 00:04:00,760 Speaker 1: is showing such disrespect to the flag in the national anthem, 64 00:04:00,800 --> 00:04:04,000 Speaker 1: which this is not about. Ps uh, he goes then 65 00:04:04,040 --> 00:04:06,760 Speaker 1: he goes on to give NASCAR some how to say, Hey, 66 00:04:06,880 --> 00:04:09,000 Speaker 1: so proud of NASCAR and its supporters and fans. They 67 00:04:09,040 --> 00:04:11,480 Speaker 1: won't put up with disrespecting our country and our flag. 68 00:04:11,560 --> 00:04:15,240 Speaker 1: They said it loud and clear. This is the sport 69 00:04:15,320 --> 00:04:20,039 Speaker 1: where it's cool to flag Confederate flags. So like, yeah, 70 00:04:20,480 --> 00:04:25,200 Speaker 1: I think we're starting to see uh kind of what 71 00:04:25,400 --> 00:04:29,040 Speaker 1: maybe maybe what this is really about. Right, yeah, so 72 00:04:29,200 --> 00:04:32,880 Speaker 1: just following the weekend, just in general, uh, we now 73 00:04:33,120 --> 00:04:36,320 Speaker 1: have it that Trump is cool with NASCAR, and uh 74 00:04:36,480 --> 00:04:39,520 Speaker 1: the only team that will is willing to visit the 75 00:04:39,520 --> 00:04:43,480 Speaker 1: White House are a hockey team, which, well, what are 76 00:04:43,520 --> 00:04:46,400 Speaker 1: those two sports have in common? Very very white, very 77 00:04:46,400 --> 00:04:49,920 Speaker 1: white sports. It's also a fan of lacrosse and uh 78 00:04:50,680 --> 00:04:55,960 Speaker 1: engulf Right, I didn't think that the protest of of 79 00:04:56,080 --> 00:05:01,279 Speaker 1: the flag, which is not what it's about, like you said, Uh, 80 00:05:01,440 --> 00:05:07,040 Speaker 1: New York, MYPD sergeant named Edwin Raymond tweeted, thinking NFL 81 00:05:07,120 --> 00:05:10,480 Speaker 1: players are protesting the flag is like thinking Rosa Parks 82 00:05:10,560 --> 00:05:14,800 Speaker 1: was protesting public transportation. Uh, that's funny, that's like that 83 00:05:14,880 --> 00:05:18,000 Speaker 1: was one of the most well worn metaphors this weekend. Yeah, 84 00:05:18,520 --> 00:05:20,760 Speaker 1: but it's pretty good. No, it's we were talking about 85 00:05:20,760 --> 00:05:23,720 Speaker 1: this earlier? Is it? Because Trump really thinks this isn't 86 00:05:23,720 --> 00:05:27,480 Speaker 1: about about racial issues and he's so sort of like, 87 00:05:28,000 --> 00:05:30,440 Speaker 1: you know, in denial about what the state of race 88 00:05:30,520 --> 00:05:33,239 Speaker 1: relations are or just the state of like systemic racism 89 00:05:33,240 --> 00:05:35,400 Speaker 1: in the country, that that's the only way he can 90 00:05:35,440 --> 00:05:38,479 Speaker 1: compute what this is about. As he was boarding his 91 00:05:38,600 --> 00:05:43,719 Speaker 1: helicopter yesterday, he said, he told I think MSNBC, this 92 00:05:43,760 --> 00:05:46,920 Speaker 1: has nothing to do with race. So he he honestly 93 00:05:46,960 --> 00:05:51,680 Speaker 1: believes that his supporters think that any sort of racial 94 00:05:51,680 --> 00:05:55,920 Speaker 1: connotations to the positions that he takes are are completely 95 00:05:55,960 --> 00:05:59,040 Speaker 1: trumped up. There's this there's this meme going around that's 96 00:05:59,080 --> 00:06:02,400 Speaker 1: a collage of pics of Donald Trump shaking hands with 97 00:06:02,720 --> 00:06:07,000 Speaker 1: various black celebrities. In it says, before Donald Trump ran 98 00:06:07,040 --> 00:06:11,960 Speaker 1: for president, he was never accused of racism, which which 99 00:06:12,040 --> 00:06:16,320 Speaker 1: is a complete lie, And like don King is so problematic, 100 00:06:16,360 --> 00:06:20,360 Speaker 1: like like you weren't you weren't shaking, You weren't like 101 00:06:20,400 --> 00:06:22,680 Speaker 1: trying to get like wearing a free move Mia T 102 00:06:22,839 --> 00:06:26,520 Speaker 1: shirt or right, he was shaking like the Yeah, the 103 00:06:26,560 --> 00:06:30,240 Speaker 1: pictures are of him shaking hands with Don King and 104 00:06:30,320 --> 00:06:34,680 Speaker 1: I think Amar Rossa and you know the picture of 105 00:06:34,920 --> 00:06:40,159 Speaker 1: racial blindness. Um. But yeah, obviously he was famous during 106 00:06:40,279 --> 00:06:44,280 Speaker 1: during the eighties. The one sort of event that he 107 00:06:44,560 --> 00:06:48,520 Speaker 1: really leapt on and took a political stance on was 108 00:06:48,680 --> 00:06:52,280 Speaker 1: when a white women was when a white woman was 109 00:06:52,880 --> 00:06:57,960 Speaker 1: attacked in Central Park. Um. I think five black teenagers 110 00:06:58,080 --> 00:07:03,040 Speaker 1: were accused and I think convicted of the crime before 111 00:07:03,920 --> 00:07:10,320 Speaker 1: uh before DNA evidence exonerated them. But Trump came out 112 00:07:10,680 --> 00:07:15,840 Speaker 1: strongly saying he took out a ad that said bring 113 00:07:15,920 --> 00:07:19,480 Speaker 1: the death penalty back, um, you know, suggesting that we 114 00:07:19,640 --> 00:07:25,680 Speaker 1: kill these wrongly accused black teenagers. And then, by the way, 115 00:07:25,720 --> 00:07:29,800 Speaker 1: when that issue was brought up during the election, he 116 00:07:30,080 --> 00:07:34,560 Speaker 1: came out and was like, I stand by it somehow, 117 00:07:35,000 --> 00:07:39,800 Speaker 1: just just I guess have them executed for being wrongly well. 118 00:07:40,040 --> 00:07:42,880 Speaker 1: And also like Trump like fails to see like that, 119 00:07:42,960 --> 00:07:46,240 Speaker 1: like like by definition, like it's you're gonna have trouble 120 00:07:46,320 --> 00:07:49,600 Speaker 1: trying to divide a sports team to like by being like, oh, like, 121 00:07:49,680 --> 00:07:52,520 Speaker 1: I don't know what he expected from the teams, because 122 00:07:53,120 --> 00:07:56,280 Speaker 1: you know, you have to inherently work together to achieve 123 00:07:56,360 --> 00:07:59,640 Speaker 1: your your your shared goal of victory. So I don't know, 124 00:07:59,680 --> 00:08:01,600 Speaker 1: like it's seemed like I don't know if he thought 125 00:08:01,640 --> 00:08:04,160 Speaker 1: he was going to really inspire other people like in 126 00:08:04,280 --> 00:08:06,920 Speaker 1: locker rooms to maybe try and get like their teammates 127 00:08:06,920 --> 00:08:09,240 Speaker 1: on board. I'm I guess like it's another one of 128 00:08:09,240 --> 00:08:11,560 Speaker 1: those things where it's so wacky to me. I'm fairly 129 00:08:11,680 --> 00:08:13,800 Speaker 1: understand what the actual strategy was here, if there was 130 00:08:13,840 --> 00:08:15,960 Speaker 1: a strategy, or if this was just a crazy guy 131 00:08:16,040 --> 00:08:20,120 Speaker 1: venting because everyone just he he really just united everybody, 132 00:08:20,160 --> 00:08:22,320 Speaker 1: Like I read a tweet that was like he managed 133 00:08:22,320 --> 00:08:27,320 Speaker 1: to like unite Calves and Warriors twitter like with each other, 134 00:08:27,440 --> 00:08:29,400 Speaker 1: which is yah. I guess we should talk about that. 135 00:08:29,400 --> 00:08:33,439 Speaker 1: That Uh Steph Curry. So, as you mentioned, Steph Curry 136 00:08:33,480 --> 00:08:36,240 Speaker 1: had been saying in the past weeks that he wasn't 137 00:08:36,240 --> 00:08:39,320 Speaker 1: sure if he wanted to visit the White House, you know, 138 00:08:39,520 --> 00:08:43,880 Speaker 1: with with his UH Warriors. The Champions, one of the 139 00:08:43,880 --> 00:08:47,760 Speaker 1: most iconic teams in NBA history, won the championship in 140 00:08:47,800 --> 00:08:51,320 Speaker 1: the NBA. They obviously expected to visit the White House. 141 00:08:51,360 --> 00:08:52,760 Speaker 1: He was saying he didn't know if he wanted to. 142 00:08:52,880 --> 00:08:54,960 Speaker 1: He was asked about it again on Friday, he said 143 00:08:55,000 --> 00:08:58,480 Speaker 1: he's still I wasn't sure he wanted to because he 144 00:08:58,480 --> 00:09:01,280 Speaker 1: would rather draw attention to some of the social issues 145 00:09:01,280 --> 00:09:05,200 Speaker 1: in the country. And then Trump, you know, after coming 146 00:09:05,240 --> 00:09:09,520 Speaker 1: out against black NFL players who were kneeling during the 147 00:09:09,600 --> 00:09:14,480 Speaker 1: national anthem. Then uh, on Saturday morning caught wind of this, 148 00:09:14,600 --> 00:09:19,280 Speaker 1: and there's a screen cap where uh you see like that. 149 00:09:19,360 --> 00:09:22,320 Speaker 1: There was a headline on Fox and Friends talking about 150 00:09:22,360 --> 00:09:26,959 Speaker 1: how Steph Curry had brought up the that he might 151 00:09:27,000 --> 00:09:28,760 Speaker 1: not want to go to the White House. And then 152 00:09:28,880 --> 00:09:32,160 Speaker 1: twenty minutes later, Trump tweeted this, Yeah he goes. Going 153 00:09:32,200 --> 00:09:34,320 Speaker 1: to the White House is considered a great honor for 154 00:09:34,360 --> 00:09:40,920 Speaker 1: a championship team. Stephen Curry is hesitating. Therefore invitation is withdrawn. Right, 155 00:09:41,040 --> 00:09:44,120 Speaker 1: I'm gonna dump you before you can dump me, Like, wow, 156 00:09:44,360 --> 00:09:49,440 Speaker 1: you can't fire me, I can't quit You're fired. Um yeah, 157 00:09:49,600 --> 00:09:58,840 Speaker 1: And uh, actually Lebron James came back with yeah, Like 158 00:10:00,000 --> 00:10:03,040 Speaker 1: first he said what everybody already knew he was, like, 159 00:10:03,240 --> 00:10:05,800 Speaker 1: he already said he wasn't he didn't want to go, 160 00:10:05,920 --> 00:10:10,240 Speaker 1: you can't disinvite him, idiot, and then uh he called 161 00:10:10,320 --> 00:10:13,680 Speaker 1: him you bum actually, which is just a great sort 162 00:10:13,679 --> 00:10:18,320 Speaker 1: of old school insult. But then he said going to 163 00:10:18,360 --> 00:10:21,000 Speaker 1: the White House was an honor until you showed up, 164 00:10:21,080 --> 00:10:24,920 Speaker 1: which was really really well put kind of a sick burn, 165 00:10:25,280 --> 00:10:30,960 Speaker 1: and uh, Trump somehow managed not to. Yeah, I think 166 00:10:31,160 --> 00:10:34,360 Speaker 1: that was cutting you know, that's that was the lebron Like, 167 00:10:34,400 --> 00:10:37,000 Speaker 1: he has been called a dotard, he's been called a bum. 168 00:10:37,800 --> 00:10:40,120 Speaker 1: He's not having a great week on Twitter or just 169 00:10:40,200 --> 00:10:42,280 Speaker 1: in general. I mean, but I think we're saying that 170 00:10:42,320 --> 00:10:45,680 Speaker 1: about the president every fucking week, right, Um. But yeah, 171 00:10:45,760 --> 00:10:49,440 Speaker 1: and then then pretty much after like all that, between 172 00:10:49,480 --> 00:10:51,920 Speaker 1: that and then the NFL, a lot of people just 173 00:10:52,000 --> 00:10:55,760 Speaker 1: came out and you know, in there in a unified voice. 174 00:10:55,760 --> 00:10:58,320 Speaker 1: I mean, there were a lot of people kneeling on 175 00:10:58,360 --> 00:11:01,640 Speaker 1: the on the games yesterday. One of my favorites was 176 00:11:01,760 --> 00:11:05,400 Speaker 1: seeing uh, you know, legendary asshole Ray Lewis taking two 177 00:11:05,480 --> 00:11:07,840 Speaker 1: knees with the Ravens on the sideline. This is the 178 00:11:07,840 --> 00:11:10,480 Speaker 1: same guy who went to meet with Trump, who told 179 00:11:10,480 --> 00:11:14,440 Speaker 1: the Ravens not to sign con Kaepernick, who you know, 180 00:11:14,520 --> 00:11:18,400 Speaker 1: I'm pretty sure he murders somebody to uh taking two 181 00:11:18,440 --> 00:11:20,760 Speaker 1: knees on the sideline, acting like you know, he didn't 182 00:11:20,800 --> 00:11:22,920 Speaker 1: even say I mean he even like talked against Black 183 00:11:22,960 --> 00:11:24,920 Speaker 1: Lives Matter. So you know, ray Lewis, you can do 184 00:11:24,960 --> 00:11:29,880 Speaker 1: your good, nice try, but we see you, right um. 185 00:11:29,920 --> 00:11:33,720 Speaker 1: And NFL owners even came out, which NFL owners have 186 00:11:33,880 --> 00:11:39,160 Speaker 1: been like very widely, like Bob Kraft, the guy who 187 00:11:39,440 --> 00:11:42,959 Speaker 1: fucking gave him a Super Bowl ring, right, has been 188 00:11:43,000 --> 00:11:47,160 Speaker 1: a big Trump supporter. Rex Ryan, the coach who had 189 00:11:47,240 --> 00:11:52,560 Speaker 1: like invited him on stage and you know, introduced him 190 00:11:52,679 --> 00:11:56,400 Speaker 1: at a at a rally during the presidential election. Everybody 191 00:11:56,480 --> 00:11:59,760 Speaker 1: was coming up being like, yeah, this guy, like I 192 00:12:00,200 --> 00:12:04,880 Speaker 1: don't know. Yeah. Even Tom Brady, who's like a big 193 00:12:05,120 --> 00:12:08,560 Speaker 1: was a pretty vocal Trump supporter. He was even like, yeah, 194 00:12:08,600 --> 00:12:10,560 Speaker 1: I don't know about I don't know about these comments 195 00:12:10,600 --> 00:12:14,920 Speaker 1: like tom Brady's like I believe in love and remity, right, 196 00:12:15,080 --> 00:12:18,560 Speaker 1: I mean he supported his teammates in the most bland 197 00:12:18,960 --> 00:12:21,360 Speaker 1: possible west because I mean, at the end of the day, 198 00:12:21,400 --> 00:12:23,960 Speaker 1: like you've got to throw your ball to somebody who 199 00:12:24,640 --> 00:12:29,840 Speaker 1: catch it, right, Yeah. The owners can you know, support 200 00:12:29,840 --> 00:12:32,160 Speaker 1: their players all they want words I want I still 201 00:12:32,160 --> 00:12:34,880 Speaker 1: want to see one of them. Uh, you know, bring 202 00:12:34,920 --> 00:12:39,839 Speaker 1: Colin Kaepernick on. He is better than i'd say over 203 00:12:39,960 --> 00:12:44,920 Speaker 1: fifty of the quarterbacks, like demonstrably better than over the 204 00:12:45,000 --> 00:12:48,360 Speaker 1: quarterbacks they have on rosters. Uh. That that's when they 205 00:12:48,400 --> 00:12:52,679 Speaker 1: will actually demonstrate that they are for freedom of speech. 206 00:12:53,440 --> 00:12:56,440 Speaker 1: I think in this case they just realized they sort 207 00:12:56,480 --> 00:13:00,520 Speaker 1: of jumped on and served the wave of public opinion. 208 00:13:01,000 --> 00:13:02,599 Speaker 1: By the way, the w n b A, there's a 209 00:13:02,600 --> 00:13:05,599 Speaker 1: tweak going going around right now of w n b 210 00:13:05,679 --> 00:13:08,439 Speaker 1: A players taking a knee so that they're also protesting 211 00:13:09,080 --> 00:13:11,440 Speaker 1: um and even who is it? Someone on the a's 212 00:13:11,600 --> 00:13:15,880 Speaker 1: yesterday first guy in baseball, a rookie catcher who again, 213 00:13:15,920 --> 00:13:20,520 Speaker 1: it's never. It's never the players who have deals deals 214 00:13:20,640 --> 00:13:24,280 Speaker 1: and have like nothing to lose, And it's always people 215 00:13:24,280 --> 00:13:27,240 Speaker 1: who have a ton to lose and you know, or 216 00:13:27,520 --> 00:13:31,640 Speaker 1: as demonstrated by Kaepernick, you know, well it's a shame too, 217 00:13:31,640 --> 00:13:34,880 Speaker 1: I mean because you know many times people have likened 218 00:13:35,400 --> 00:13:38,400 Speaker 1: the NFL too, and this might have the snowflakes watch out. 219 00:13:38,600 --> 00:13:41,600 Speaker 1: They call a high paid slavery when you think about 220 00:13:41,760 --> 00:13:45,640 Speaker 1: you know, it profits off of black bodies, basically wearing 221 00:13:45,679 --> 00:13:48,400 Speaker 1: themselves down and not looking after them after they retired. 222 00:13:48,800 --> 00:13:52,200 Speaker 1: And within that metaphor, like they're making an example of 223 00:13:52,280 --> 00:13:55,640 Speaker 1: Colin Kaepernick in front of everybody else, saying you, you 224 00:13:55,679 --> 00:13:57,720 Speaker 1: get out of line, and this is what's gonna happen. 225 00:13:58,320 --> 00:14:00,240 Speaker 1: And you were saying something interesting like I think he's 226 00:14:00,240 --> 00:14:03,600 Speaker 1: in a doubly like tough spot too, because he's also 227 00:14:03,679 --> 00:14:08,160 Speaker 1: a black quarterback. Black quarterbacks are sort of one of 228 00:14:08,480 --> 00:14:14,640 Speaker 1: the most underrated racial sort of hot points. Um you 229 00:14:14,679 --> 00:14:19,320 Speaker 1: know when you listen to when you interview black quarterbacks. UH, 230 00:14:19,520 --> 00:14:21,840 Speaker 1: Warren Moon, one of the best quarterbacks in the history 231 00:14:21,840 --> 00:14:25,840 Speaker 1: of the league. UH has had to start a support 232 00:14:25,920 --> 00:14:29,360 Speaker 1: group for black quarterbacks because it's so difficult to be 233 00:14:29,400 --> 00:14:32,000 Speaker 1: a black quarterback because you get hate mail, you get 234 00:14:32,280 --> 00:14:36,880 Speaker 1: death threats because and this is why, uh, this is 235 00:14:36,920 --> 00:14:41,240 Speaker 1: why this is so controversial to have black players kneeling 236 00:14:41,360 --> 00:14:44,920 Speaker 1: during national anthem in the NFL in particular, is because 237 00:14:45,040 --> 00:14:49,720 Speaker 1: it's all about sort of a symbolic encoding of the 238 00:14:49,840 --> 00:14:54,120 Speaker 1: very specific racial hierarchy that these players are protesting in 239 00:14:54,160 --> 00:14:57,360 Speaker 1: the first place. And when you have a black quarterback, 240 00:14:57,840 --> 00:15:01,960 Speaker 1: it upsets that hierarchy because the thing that these people 241 00:15:01,960 --> 00:15:05,240 Speaker 1: who don't realize that they're racist, who are racist, love 242 00:15:05,320 --> 00:15:08,560 Speaker 1: about the NFL is that you have the white quarterback 243 00:15:08,600 --> 00:15:11,120 Speaker 1: who sits back and is like smart and like picks 244 00:15:11,160 --> 00:15:15,520 Speaker 1: apart the defense and he has he has these like weapons, 245 00:15:15,760 --> 00:15:19,680 Speaker 1: as they're called by NFL commentators. Who are you know, 246 00:15:20,000 --> 00:15:23,520 Speaker 1: black speedy athletes who he like tells where to go 247 00:15:23,760 --> 00:15:26,160 Speaker 1: and everything. Juxtapos that with the NBA, right, there's no 248 00:15:26,480 --> 00:15:28,680 Speaker 1: support group for white point guards, you know what I mean. 249 00:15:29,320 --> 00:15:32,680 Speaker 1: Jason Williams, everybody loved him, right, even he wasn't a 250 00:15:32,680 --> 00:15:35,080 Speaker 1: great port card, but he played with with style. But 251 00:15:35,160 --> 00:15:37,640 Speaker 1: nobody was hating on him because he was like in 252 00:15:37,680 --> 00:15:40,880 Speaker 1: a traditionally black position. I mean, let's be real, I 253 00:15:40,880 --> 00:15:44,400 Speaker 1: think every position in the NBA is just black. But like, yeah, 254 00:15:44,440 --> 00:15:46,480 Speaker 1: there there was no hate on that side, so you know, 255 00:15:46,520 --> 00:15:51,520 Speaker 1: chooser sports wisely, right, right? Um, yeah, it was. It 256 00:15:51,560 --> 00:15:54,080 Speaker 1: was interesting because what there there were a couple of 257 00:15:54,080 --> 00:15:56,160 Speaker 1: ways that people were protesting, right. You had the people 258 00:15:56,160 --> 00:15:58,440 Speaker 1: who are kneeling. You had the teams that weren't even 259 00:15:58,440 --> 00:16:03,320 Speaker 1: coming out. Tomlin's specifically, the Pittsburgh coach said he was 260 00:16:03,360 --> 00:16:07,520 Speaker 1: doing it to avoid the conversation. Um, but three, three 261 00:16:07,560 --> 00:16:10,320 Speaker 1: separate teams decided not to come out for the national anthem. Uh, 262 00:16:10,400 --> 00:16:12,960 Speaker 1: there are other people who are just locking arms with 263 00:16:13,000 --> 00:16:16,720 Speaker 1: their teammates rather than you know, whatever they normally having, 264 00:16:16,760 --> 00:16:19,480 Speaker 1: like a kneeling section in a standing section. They're like, okay, 265 00:16:19,520 --> 00:16:23,440 Speaker 1: well we're all together. And um, that tended to be 266 00:16:23,520 --> 00:16:27,920 Speaker 1: how white players like Tom Brady showed that they were, 267 00:16:27,960 --> 00:16:32,400 Speaker 1: you know, standing in solidarity with the Kaepernicks of the world. 268 00:16:32,640 --> 00:16:35,280 Speaker 1: We're keeping their head down the other thing too, right, 269 00:16:35,520 --> 00:16:40,480 Speaker 1: Um And weirdly, the the way that white players chose 270 00:16:40,560 --> 00:16:42,960 Speaker 1: to protest the locking of the arms, that was the 271 00:16:43,040 --> 00:16:45,880 Speaker 1: one form of protests that Trump came to be out 272 00:16:45,880 --> 00:16:47,880 Speaker 1: and dealing. H yeah, I know those guys are with me. 273 00:16:48,440 --> 00:16:52,600 Speaker 1: Uh that they are not protesting. Uh. They that that's 274 00:16:52,600 --> 00:16:55,600 Speaker 1: how they show that their Trump supporters, they're in solidarity 275 00:16:55,680 --> 00:17:00,800 Speaker 1: with the people who respect the flag. Right. Uh so yeah, So, 276 00:17:01,440 --> 00:17:04,760 Speaker 1: just to recap, Trump doesn't like the players who are kneeling, 277 00:17:04,840 --> 00:17:07,119 Speaker 1: who happened to all be black players, likes the ones 278 00:17:07,160 --> 00:17:09,359 Speaker 1: who are locking arms happened to i'll be white players. 279 00:17:09,720 --> 00:17:16,280 Speaker 1: Uh he is cool now only with NASCAR and NHL hockey, 280 00:17:16,320 --> 00:17:19,720 Speaker 1: but it's not a race thing. Yeah. So uh, I 281 00:17:19,800 --> 00:17:23,120 Speaker 1: think I think Trump is totally making sense on this one. Uh. 282 00:17:23,160 --> 00:17:26,680 Speaker 1: That's gonna be it for just our weekend in review. 283 00:17:26,920 --> 00:17:30,080 Speaker 1: We're gonna be right back with Alison Zeidman. Hello the Internet, 284 00:17:30,200 --> 00:17:33,800 Speaker 1: and welcome to this Monday edition of The Daily Zeitgeist. 285 00:17:33,840 --> 00:17:36,320 Speaker 1: My name is Jack O'Brian. I am joined as always 286 00:17:36,440 --> 00:17:40,320 Speaker 1: by my co host Myles Greggwan Internet, and we are 287 00:17:40,560 --> 00:17:46,000 Speaker 1: joined today in studio by Alison Zeidman. Hey, how's it 288 00:17:46,040 --> 00:17:49,280 Speaker 1: going good? How are you guys think great? We're great. 289 00:17:49,720 --> 00:17:54,600 Speaker 1: Allison is a writer for Adam Ruins Everything, and most 290 00:17:54,680 --> 00:18:01,200 Speaker 1: importantly a writer for The Daily Zeitgeist. Yeah, which, yeah, 291 00:18:01,320 --> 00:18:05,720 Speaker 1: it's a prestigious role. Uh well, maybe talk about how 292 00:18:05,760 --> 00:18:08,439 Speaker 1: you got that? But you got your start that you 293 00:18:08,560 --> 00:18:12,520 Speaker 1: start there, it's a real up for my bootstraps, kind 294 00:18:12,520 --> 00:18:17,200 Speaker 1: of inspiring American dream type stuff. But real quick, goes 295 00:18:17,240 --> 00:18:23,399 Speaker 1: West stuff. There are no cats in America. That's the 296 00:18:23,440 --> 00:18:27,840 Speaker 1: new Horatio Alger the most inspiring American story that I 297 00:18:27,880 --> 00:18:32,119 Speaker 1: can think about some of my how days West, But 298 00:18:32,320 --> 00:18:36,000 Speaker 1: real quick, we want to uh run through what's going 299 00:18:36,080 --> 00:18:40,639 Speaker 1: on in the news right now. Currently dominating some headlines 300 00:18:40,680 --> 00:18:44,159 Speaker 1: as the war of words between kJ you as the 301 00:18:44,200 --> 00:18:49,280 Speaker 1: kids call him, and Donald Trump. Kim Jong. Allison, you 302 00:18:49,400 --> 00:18:53,080 Speaker 1: said you were reading an article where a defector from 303 00:18:53,160 --> 00:18:58,920 Speaker 1: North Korea was saying that not a senior fellow at 304 00:18:59,080 --> 00:19:02,520 Speaker 1: Yale lost goals. She's a North Korea analyst, and she, 305 00:19:02,640 --> 00:19:05,199 Speaker 1: along with a lot of other analysts that are tracking 306 00:19:05,440 --> 00:19:08,160 Speaker 1: North Korea the situation there. Their opinion is that Kim 307 00:19:08,240 --> 00:19:13,200 Speaker 1: Jong is he's not a maniac, coal evil, crazy, unpredictable 308 00:19:13,240 --> 00:19:15,680 Speaker 1: type guy. It's like, yeah, he's in his mind, he's 309 00:19:15,680 --> 00:19:19,399 Speaker 1: building up this nuclear arsenal to uh to keep his 310 00:19:19,560 --> 00:19:22,600 Speaker 1: regime going and keep his country safe. He's not going 311 00:19:22,640 --> 00:19:27,280 Speaker 1: to act irrationally. You know, deterrence can still work as 312 00:19:27,280 --> 00:19:30,159 Speaker 1: a strategy with North Korea. So they're not so much 313 00:19:30,200 --> 00:19:32,760 Speaker 1: worried about him, But now they're strying to get very 314 00:19:32,800 --> 00:19:35,520 Speaker 1: worried about the kinds of things that they're hearing out 315 00:19:35,560 --> 00:19:39,159 Speaker 1: of the White House and the attitudes of the administration. 316 00:19:39,720 --> 00:19:43,120 Speaker 1: So General McMaster has long kind of said that Kim 317 00:19:43,200 --> 00:19:45,439 Speaker 1: Jong is just this like crazy madman, and we have 318 00:19:45,560 --> 00:19:48,040 Speaker 1: to be preemptive about it and kind of on guard 319 00:19:48,080 --> 00:19:50,119 Speaker 1: and you know, ready to strike first if we need to. 320 00:19:50,960 --> 00:19:54,560 Speaker 1: And with the language that Trump used the other day 321 00:19:54,600 --> 00:19:58,520 Speaker 1: where he called him a rocket man, is apparently what's 322 00:19:58,560 --> 00:20:02,760 Speaker 1: particularly troubling to this to this analyst Myra rap Hooper, 323 00:20:03,119 --> 00:20:05,680 Speaker 1: because she's sayings it seems to her as if he's 324 00:20:05,720 --> 00:20:08,120 Speaker 1: coming around this this type of view of like, oh, 325 00:20:08,119 --> 00:20:10,640 Speaker 1: this guy is crazy and unpredictable and like we got 326 00:20:10,640 --> 00:20:13,359 Speaker 1: to do something before he does, instead of kind of 327 00:20:13,400 --> 00:20:16,239 Speaker 1: trying to maintain the status quo where we're all just 328 00:20:16,280 --> 00:20:18,440 Speaker 1: like okay, let's all just we're gonna college you to 329 00:20:18,520 --> 00:20:20,720 Speaker 1: some names, but we'll just chill out. But yeah, they's 330 00:20:20,720 --> 00:20:22,399 Speaker 1: trying to get very worried and it's just interesting. But 331 00:20:22,480 --> 00:20:25,440 Speaker 1: it's like the little hint of that in the language 332 00:20:25,440 --> 00:20:29,080 Speaker 1: of his speech is what's the most alarming to analysts. Right, 333 00:20:29,280 --> 00:20:34,440 Speaker 1: It's like he's becoming a unstable cartoon character in Donald 334 00:20:34,440 --> 00:20:40,520 Speaker 1: Trump's version of the world is Yeah, that's not good. Yeah, 335 00:20:40,520 --> 00:20:43,600 Speaker 1: because over here the media just loves to paint Kim 336 00:20:43,680 --> 00:20:48,359 Speaker 1: Jong masterpiece favorite dictator, like as yeah, this crazy guy, 337 00:20:48,520 --> 00:20:51,720 Speaker 1: rather than like every person who specialized in like Asian 338 00:20:51,760 --> 00:20:54,160 Speaker 1: policy and things like that are like, No, his whole 339 00:20:54,600 --> 00:20:58,160 Speaker 1: worldview and all everything that that motivates him is built 340 00:20:58,160 --> 00:21:02,400 Speaker 1: around maintaining the status quo. Him. He's yeah, and it's 341 00:21:02,400 --> 00:21:04,480 Speaker 1: not like not because I'm trying to kill everybody, just 342 00:21:04,520 --> 00:21:06,480 Speaker 1: like like I need something in my pocket in case 343 00:21:06,480 --> 00:21:10,080 Speaker 1: people try and remove me from power. He saw what 344 00:21:10,119 --> 00:21:12,840 Speaker 1: happened at Kadafi, and he's like, yeah, I mean that 345 00:21:12,920 --> 00:21:18,560 Speaker 1: dude was building arsenal against you know, the u n's wishes. 346 00:21:18,840 --> 00:21:20,480 Speaker 1: He was still showing up to the u N with 347 00:21:20,720 --> 00:21:23,840 Speaker 1: young women with machine guns, but he was disobeying their 348 00:21:23,960 --> 00:21:27,120 Speaker 1: orders and you know, building a nuclear arsenal. And then 349 00:21:27,680 --> 00:21:30,679 Speaker 1: at a certain point he capitulated and was like, all right, 350 00:21:30,720 --> 00:21:34,879 Speaker 1: I'll stop building the nukes. And he was immediately overthrown. 351 00:21:35,040 --> 00:21:39,919 Speaker 1: But wasn't that because like when he started to come around, 352 00:21:39,960 --> 00:21:41,639 Speaker 1: because like didn't they have like a little back and 353 00:21:41,680 --> 00:21:45,199 Speaker 1: forth that eventually like escalated with with US striking like 354 00:21:45,240 --> 00:21:47,600 Speaker 1: a lot of like those facilities. I don't know, but 355 00:21:47,920 --> 00:21:51,480 Speaker 1: I just know that that is the what's being used 356 00:21:51,920 --> 00:21:55,879 Speaker 1: by North Koreans as like the explanation for his reason 357 00:21:55,920 --> 00:21:58,399 Speaker 1: for wanting nuclear weapons. It's not like he's in a 358 00:21:58,520 --> 00:22:01,239 Speaker 1: race to build nuclear weapons so he can blow up 359 00:22:01,240 --> 00:22:05,160 Speaker 1: America and you know, end the world. He's getting them 360 00:22:05,200 --> 00:22:08,159 Speaker 1: because he feels like it's the only way to ensure 361 00:22:08,320 --> 00:22:12,560 Speaker 1: that he won't be invaded taken out. Yeah, and the 362 00:22:12,600 --> 00:22:15,000 Speaker 1: more that we that you know, our policy is to 363 00:22:15,320 --> 00:22:17,600 Speaker 1: you know, to see him as like suicidal, like this 364 00:22:17,680 --> 00:22:20,560 Speaker 1: crazy maniac that we can't predict the worst things are 365 00:22:20,560 --> 00:22:23,200 Speaker 1: going to get. Right. Then I was doing another thing too, 366 00:22:23,240 --> 00:22:25,720 Speaker 1: is like in North Korea, like they don't actually through 367 00:22:25,760 --> 00:22:29,159 Speaker 1: their news channels to the people, don't report that Trump 368 00:22:29,240 --> 00:22:32,000 Speaker 1: is calling him rocketman yet, And they're saying some of 369 00:22:32,040 --> 00:22:33,840 Speaker 1: that has to do it like a because they would 370 00:22:33,840 --> 00:22:36,359 Speaker 1: never want to portray Kim Jong un is being like 371 00:22:36,480 --> 00:22:39,600 Speaker 1: ridiculed in other places in the world. But they were 372 00:22:39,600 --> 00:22:42,200 Speaker 1: saying that they could somehow spend the rocketman thing into 373 00:22:42,200 --> 00:22:45,160 Speaker 1: saying like oh, that's just the West, you know, verifying 374 00:22:45,200 --> 00:22:47,480 Speaker 1: that like our nuclear program is second to none and 375 00:22:47,480 --> 00:22:50,280 Speaker 1: advancing at a quite rapid rate. So it's interesting to 376 00:22:50,320 --> 00:22:53,639 Speaker 1: see like how there are so many sort of variables 377 00:22:53,640 --> 00:22:56,520 Speaker 1: to this whole thing. Yeah. Also, if somebody called me 378 00:22:56,520 --> 00:23:01,040 Speaker 1: a rocket man, I would definitely like tell everybody rocket man. Well, 379 00:23:01,080 --> 00:23:03,879 Speaker 1: what's funny too, is like Kim John untook like real 380 00:23:03,920 --> 00:23:09,560 Speaker 1: shots at Donald Trump yesterday. What was the line eventually 381 00:23:09,600 --> 00:23:13,040 Speaker 1: deranged us Dodord. Yeah, that's in response to rocket I 382 00:23:13,040 --> 00:23:15,000 Speaker 1: was I was reading this this washing Bons article that 383 00:23:15,080 --> 00:23:18,199 Speaker 1: was like tracking. You know North Korean insults throughout history, 384 00:23:18,320 --> 00:23:21,080 Speaker 1: and like leaders of North Korea have a like a long, 385 00:23:21,600 --> 00:23:27,440 Speaker 1: colorful history of beautiful like Shakespearean level like insults. When 386 00:23:27,480 --> 00:23:30,600 Speaker 1: Lyndon Johnson was president that North Korea's major general called 387 00:23:30,680 --> 00:23:35,119 Speaker 1: him a warmaniac and a living corpse, which is just 388 00:23:35,320 --> 00:23:38,400 Speaker 1: so insulting. They got next and see that's not fair, 389 00:23:38,480 --> 00:23:40,440 Speaker 1: Like they have ghost writers, you know what I mean 390 00:23:40,480 --> 00:23:42,439 Speaker 1: for this, Like I don't know Kim Johnn. Like they 391 00:23:42,440 --> 00:23:45,000 Speaker 1: sit around like their war room doing punch up. Yeah, 392 00:23:45,040 --> 00:23:46,680 Speaker 1: they're like, okay, so he said, we got a clap back? 393 00:23:46,680 --> 00:23:49,119 Speaker 1: What do we got? And like like meanwhile, Trump is 394 00:23:49,160 --> 00:23:53,480 Speaker 1: like rocket man. Well because his insults either things he's 395 00:23:53,520 --> 00:23:56,040 Speaker 1: coming up with off the cuff or things that fucking 396 00:23:56,119 --> 00:24:00,159 Speaker 1: Stephen Miller c plus high school Santa Monica fat just 397 00:24:00,680 --> 00:24:03,560 Speaker 1: Stephen Miller came up with for him, He's got like 398 00:24:03,640 --> 00:24:06,879 Speaker 1: one writer. It's it's not a great We're not winning 399 00:24:06,920 --> 00:24:09,400 Speaker 1: the war of words. I would say, no, And yeah 400 00:24:09,400 --> 00:24:12,280 Speaker 1: it does. It makes sense to like that that analysts 401 00:24:12,320 --> 00:24:15,639 Speaker 1: are worried because suddenly, like if our rhetor exchanging, then 402 00:24:15,640 --> 00:24:17,000 Speaker 1: they're going to start any thing like wit are they 403 00:24:17,040 --> 00:24:19,960 Speaker 1: about to are you about to. Yeah, that that's a 404 00:24:20,000 --> 00:24:21,680 Speaker 1: great point. Like the more that they think that we're 405 00:24:21,800 --> 00:24:24,320 Speaker 1: unpredictable and all the time, the more it's like, well 406 00:24:24,480 --> 00:24:27,240 Speaker 1: maybe we have to do something first. Yeah, right, And 407 00:24:27,280 --> 00:24:32,040 Speaker 1: just all other Asian nations like Japan and South Korea 408 00:24:32,280 --> 00:24:35,040 Speaker 1: are like none of them get freaked out when Kim 409 00:24:35,080 --> 00:24:40,040 Speaker 1: jonguans talking all the ship, but they're absolutely terrified Trump. Yeah, 410 00:24:40,119 --> 00:24:42,720 Speaker 1: especially in Japan, like having to reconsider like whether or 411 00:24:42,760 --> 00:24:46,960 Speaker 1: not as a country they're gonna have military, which we've 412 00:24:47,000 --> 00:24:49,840 Speaker 1: been a pacifist nation for since then to World War Two. 413 00:24:50,560 --> 00:24:54,480 Speaker 1: So there's a recent study that was published in the 414 00:24:54,560 --> 00:24:59,800 Speaker 1: scientific journal Political Research Quarterly that is suggesting that this 415 00:25:00,080 --> 00:25:05,040 Speaker 1: whole Russia story about Trump is just basically wishful thinking 416 00:25:05,280 --> 00:25:09,800 Speaker 1: on the part of basically non Trump supporters who have 417 00:25:09,880 --> 00:25:13,720 Speaker 1: been unable to cope with the reality of him winning 418 00:25:13,720 --> 00:25:17,840 Speaker 1: the election. And they point to, you know, all the 419 00:25:17,880 --> 00:25:22,359 Speaker 1: conspiracy theories that popped up after Obama one, and you know, 420 00:25:22,440 --> 00:25:25,160 Speaker 1: there were quite a few when Bush was in office, 421 00:25:25,240 --> 00:25:28,040 Speaker 1: and for a long time people thought that George W. 422 00:25:28,160 --> 00:25:32,000 Speaker 1: Bush stole that election with lawyers in Florida until they 423 00:25:32,040 --> 00:25:35,200 Speaker 1: actually I remember there was a story that came out 424 00:25:35,320 --> 00:25:38,040 Speaker 1: three or four years afterwards that was like, oh, actually 425 00:25:38,080 --> 00:25:40,520 Speaker 1: he really did win, that he really did win in Florida, 426 00:25:41,000 --> 00:25:44,920 Speaker 1: Like but yeah, I don't know. It does seem to 427 00:25:44,960 --> 00:25:48,359 Speaker 1: be different in some respects, Like there there's definitely seems 428 00:25:48,359 --> 00:25:51,760 Speaker 1: to be evidence. Facebook is releasing evidence as we speak 429 00:25:51,800 --> 00:25:55,040 Speaker 1: that seems to suggest that the Kremlin was trying to 430 00:25:55,040 --> 00:25:58,440 Speaker 1: put their thumb on the scales. But it does feel 431 00:25:58,440 --> 00:26:01,640 Speaker 1: like dessert a little bit thinking about that. Well, it's 432 00:26:01,680 --> 00:26:03,320 Speaker 1: just I feel like, you know, a lot of liberals 433 00:26:03,359 --> 00:26:06,000 Speaker 1: have like this insane tunnel vision when it comes to 434 00:26:06,000 --> 00:26:08,600 Speaker 1: Trump and Russia like it. For some people, it's like 435 00:26:08,680 --> 00:26:11,040 Speaker 1: their whole like their reason to live is just to 436 00:26:11,080 --> 00:26:13,720 Speaker 1: be like, well, when when mother figures it all out, 437 00:26:13,760 --> 00:26:16,119 Speaker 1: like if this nightmare will be over, and like sure 438 00:26:16,240 --> 00:26:19,400 Speaker 1: that could happen, but there's just as easily a chance 439 00:26:19,440 --> 00:26:21,840 Speaker 1: that there might not be compelling enough information to sort 440 00:26:21,840 --> 00:26:24,520 Speaker 1: of support this sort of way out narrative that people 441 00:26:24,560 --> 00:26:26,960 Speaker 1: are trying to kind of come up with. And like, yeah, 442 00:26:27,040 --> 00:26:29,080 Speaker 1: like you say, I think it's more of like a 443 00:26:29,119 --> 00:26:31,479 Speaker 1: pendulum that just swings with power. Basically, like when you're 444 00:26:31,520 --> 00:26:33,720 Speaker 1: not in power, then you get to be the people, 445 00:26:34,119 --> 00:26:36,639 Speaker 1: you know, talking about whatever conspiracy theories you have, you know, 446 00:26:36,640 --> 00:26:39,359 Speaker 1: because like with Obama was like crisis actors and like 447 00:26:39,440 --> 00:26:41,639 Speaker 1: you know, if he's an agent of Islam or something. 448 00:26:41,960 --> 00:26:44,680 Speaker 1: And now like you know, there are like a lot 449 00:26:44,720 --> 00:26:48,040 Speaker 1: of left wing, crazy conspiracy theorists out there who like, 450 00:26:48,280 --> 00:26:50,840 Speaker 1: we don't like not many people are a sort of 451 00:26:50,880 --> 00:26:53,639 Speaker 1: paying attention to, but we have our version of Pizza 452 00:26:53,680 --> 00:26:55,879 Speaker 1: Gate and things like that were not our but on 453 00:26:56,000 --> 00:26:58,120 Speaker 1: like if people are more left leaning, you know, there's 454 00:26:58,119 --> 00:27:00,639 Speaker 1: people like Louise Menh. I think we can acknowledge that 455 00:27:00,680 --> 00:27:04,639 Speaker 1: we're not Trump support in this room. But but like 456 00:27:04,720 --> 00:27:07,200 Speaker 1: Louise meant, she published a story about how Andrew bright 457 00:27:07,280 --> 00:27:10,000 Speaker 1: Bart was assassinated by Russian agents to make room for 458 00:27:10,040 --> 00:27:13,560 Speaker 1: the rise of Steve Bannon that like Russian intelligence and 459 00:27:13,640 --> 00:27:16,879 Speaker 1: trapped Anthony Weener by creating a fake Facebook profile of 460 00:27:16,880 --> 00:27:19,600 Speaker 1: a fifteen year old girl. There are bizarre stories to 461 00:27:19,720 --> 00:27:22,040 Speaker 1: that sort of yeah, there's definitely um yeah, and a 462 00:27:22,119 --> 00:27:25,760 Speaker 1: lot of research around conspiratorial thinking, like definitely links it 463 00:27:25,840 --> 00:27:28,840 Speaker 1: to the sense of like a loss of control and 464 00:27:28,880 --> 00:27:30,800 Speaker 1: what you need to do to cope with it is 465 00:27:30,840 --> 00:27:32,760 Speaker 1: try to connect the dots and come up with all 466 00:27:32,760 --> 00:27:35,280 Speaker 1: these theories and like explanations for why the thing that 467 00:27:35,320 --> 00:27:38,840 Speaker 1: you don't understand is happening. So it totally makes sense 468 00:27:38,880 --> 00:27:40,760 Speaker 1: that that is a thing that would like strike members 469 00:27:40,760 --> 00:27:44,159 Speaker 1: of either political party. Um. Yeah, do you guys remember that, 470 00:27:44,280 --> 00:27:46,960 Speaker 1: Like right after the election, there was this medium post 471 00:27:47,040 --> 00:27:49,919 Speaker 1: going around where this guy I don't I don't know 472 00:27:49,960 --> 00:27:51,840 Speaker 1: if he's done anything other than that medium post, but 473 00:27:51,840 --> 00:27:55,920 Speaker 1: he's basically like, oh, the travel ban is like purposely 474 00:27:56,000 --> 00:27:59,520 Speaker 1: being rolled out in like a bumbling way, because it's 475 00:27:59,560 --> 00:28:01,840 Speaker 1: like a try l balloon for a coup, like I 476 00:28:01,880 --> 00:28:04,080 Speaker 1: guess like band and I don't remember exactly what it was, 477 00:28:04,280 --> 00:28:06,760 Speaker 1: just basically like and and and like a bunch of 478 00:28:06,760 --> 00:28:08,199 Speaker 1: my friends were like sharing it around and it's just 479 00:28:08,240 --> 00:28:10,760 Speaker 1: like okay, like we gotta we gotta all calmed down. 480 00:28:10,800 --> 00:28:13,240 Speaker 1: Because it's also like the more that you focus on 481 00:28:13,280 --> 00:28:15,560 Speaker 1: like the crazy conspiracy stuff, the more that you're going 482 00:28:15,640 --> 00:28:18,720 Speaker 1: to miss the stuff that's legit, and then we actually 483 00:28:18,720 --> 00:28:21,639 Speaker 1: need to focus on um. And I think Russia is 484 00:28:21,680 --> 00:28:25,160 Speaker 1: like a great example, like there's probably I mean, clearly 485 00:28:25,240 --> 00:28:27,399 Speaker 1: we're seeing that there are a lot of connections and 486 00:28:27,440 --> 00:28:31,199 Speaker 1: it seems like there was definitely some collusion there, but 487 00:28:31,480 --> 00:28:33,040 Speaker 1: how much of the real stuff. Were we missing bay 488 00:28:33,119 --> 00:28:36,320 Speaker 1: like going after like the crazy and most like salacious rummers? Right? 489 00:28:36,560 --> 00:28:40,280 Speaker 1: All I know is once Trump is impeached and Mike 490 00:28:40,320 --> 00:28:43,960 Speaker 1: Pence takes over, what all our problems will be because 491 00:28:43,960 --> 00:28:46,400 Speaker 1: that guy seems super chill and like he has some 492 00:28:46,440 --> 00:28:49,000 Speaker 1: really progressive ideas. Yeah, well he and he and his 493 00:28:49,000 --> 00:28:53,600 Speaker 1: his wife mother will mother will lead the country, so 494 00:28:53,640 --> 00:28:56,520 Speaker 1: fucking creepy. All right, We're gonna go to a break 495 00:28:56,520 --> 00:28:58,840 Speaker 1: real quick, and when we come back, we're gonna have 496 00:28:59,000 --> 00:29:02,080 Speaker 1: Tailor or Tag, one of our writers who has a 497 00:29:02,840 --> 00:29:06,600 Speaker 1: really interesting observation about pop culture that makes some of 498 00:29:06,600 --> 00:29:10,040 Speaker 1: your favorite teen dramas feel a little creepy. All right, 499 00:29:10,120 --> 00:29:15,520 Speaker 1: and we're back. Uh. We are joined by Alison Seidman, 500 00:29:15,960 --> 00:29:20,720 Speaker 1: and we have Taylor Ortega. What's up? Hi? How are you? Hi? 501 00:29:22,080 --> 00:29:24,600 Speaker 1: Hey Taylor. I didn't realize it was this Taylor. I 502 00:29:24,640 --> 00:29:30,360 Speaker 1: know Taylor. I'm also here. I'm Miles. Sorry, Miles, that's fine. 503 00:29:30,400 --> 00:29:31,960 Speaker 1: I'm just gonna sit in the corner and I just 504 00:29:31,960 --> 00:29:33,960 Speaker 1: need to catch up for a second and spent a minute. Miles, 505 00:29:34,000 --> 00:29:36,600 Speaker 1: what did I say about talking on the right? John, Mike, 506 00:29:36,720 --> 00:29:42,080 Speaker 1: You're right. Wait, you guys know each other yeah, we 507 00:29:42,200 --> 00:29:45,600 Speaker 1: used to. I won't say work, I'd say I guess 508 00:29:45,720 --> 00:29:48,760 Speaker 1: volunteer on a show at at the Pit in New 509 00:29:48,840 --> 00:29:55,880 Speaker 1: York at theater there. Well, Taylor, you noticed something about 510 00:29:55,920 --> 00:30:00,880 Speaker 1: movies and TV that you wanted to talk to us about. Yeah, um, 511 00:30:00,920 --> 00:30:03,240 Speaker 1: I have noticed a fun trend. I don't know if 512 00:30:03,240 --> 00:30:06,280 Speaker 1: that i'd call it a fun trend of um a 513 00:30:06,440 --> 00:30:11,959 Speaker 1: legitimate romantic storyline in teen dramas being student teacher like 514 00:30:12,320 --> 00:30:14,880 Speaker 1: inappropriate student teacher relationships. And I don't so much mean 515 00:30:14,920 --> 00:30:17,520 Speaker 1: inappropriate student teacher relationships in terms of like on How 516 00:30:17,560 --> 00:30:19,880 Speaker 1: to Get Away with Murder where she helps them all murder. 517 00:30:19,960 --> 00:30:22,239 Speaker 1: That's not great, I don't. I don't think that's like 518 00:30:22,280 --> 00:30:24,960 Speaker 1: setting a great precedent. But I'm more talking about like 519 00:30:25,000 --> 00:30:29,280 Speaker 1: sexual relationships between students and teachers in teen dramas treated 520 00:30:29,320 --> 00:30:34,760 Speaker 1: as legitimate um romantic storylines UM that are kind of 521 00:30:34,800 --> 00:30:38,320 Speaker 1: creepy and gross. Yeah, there is a lot of that, 522 00:30:38,440 --> 00:30:42,320 Speaker 1: isn't there. It's a there's like so much um and 523 00:30:42,360 --> 00:30:46,240 Speaker 1: it's still I think it's only gotten like worse, even 524 00:30:46,320 --> 00:30:48,640 Speaker 1: as TV has gotten more progressive and dealt with like 525 00:30:48,760 --> 00:30:51,680 Speaker 1: more real issues, that one thing continues to just get 526 00:30:51,720 --> 00:30:56,840 Speaker 1: like porny or for some reason, but I have uh. 527 00:30:56,880 --> 00:30:58,680 Speaker 1: I wanted to kick it off with like a fun 528 00:30:58,720 --> 00:31:01,680 Speaker 1: guessing game that every one can enjoy and be involved in. 529 00:31:02,080 --> 00:31:05,040 Speaker 1: And I have a couple of instances of summaries of 530 00:31:05,080 --> 00:31:07,560 Speaker 1: just times where this has been a plot line on 531 00:31:07,600 --> 00:31:12,280 Speaker 1: a teen drama show intended for young people, and real 532 00:31:12,400 --> 00:31:17,040 Speaker 1: life instances of statutory situations. And you can go ahead 533 00:31:17,080 --> 00:31:19,040 Speaker 1: and tell me what you think. Wait, whether you think 534 00:31:19,040 --> 00:31:21,400 Speaker 1: it's real or a plot line. Do we get extra 535 00:31:21,480 --> 00:31:23,600 Speaker 1: points if we can name the show or movie that 536 00:31:23,680 --> 00:31:28,720 Speaker 1: it's from, Yes, please do it, or the teacher's real names. 537 00:31:28,760 --> 00:31:32,160 Speaker 1: I'm more of a fan on that. You've got trading 538 00:31:32,200 --> 00:31:38,160 Speaker 1: cards Mary kay Laterno, that's the only one I really know. Yes, 539 00:31:38,200 --> 00:31:42,040 Speaker 1: I will start. I will be shouting out points during 540 00:31:42,040 --> 00:31:44,560 Speaker 1: this game a Chris Hard sidebar. People used to make 541 00:31:44,560 --> 00:31:46,840 Speaker 1: fun of me, they said, I look like the boy 542 00:31:46,880 --> 00:31:53,160 Speaker 1: that was with Mary kay Laterno. Oh yeah, anyway, that's 543 00:31:53,200 --> 00:31:57,080 Speaker 1: my connection to the story. It's my very personal, very 544 00:31:57,120 --> 00:32:00,600 Speaker 1: personal All right, let's let's do this. Okay, cool, Okay. 545 00:32:00,600 --> 00:32:03,240 Speaker 1: So the first one is this high school teacher had 546 00:32:03,280 --> 00:32:07,480 Speaker 1: an ongoing sexual relationship with her sixteen year old music student. 547 00:32:07,720 --> 00:32:11,280 Speaker 1: The pair were discovered actor accidentally witnessing part of a 548 00:32:11,360 --> 00:32:15,160 Speaker 1: local murder. Oh, this is so easy. It's it's Riverdale. 549 00:32:15,840 --> 00:32:19,280 Speaker 1: It is It's Riverdale. So easy if you watch the show, 550 00:32:20,560 --> 00:32:23,200 Speaker 1: if you're like a big fan of teen dramas when 551 00:32:23,240 --> 00:32:29,160 Speaker 1: you're almost thirty, and both of those things. Alright, So 552 00:32:29,160 --> 00:32:31,520 Speaker 1: a point for point for you there. I mean I 553 00:32:31,600 --> 00:32:34,520 Speaker 1: knew that, but I didn't want to say anything. Go ahead, 554 00:32:34,920 --> 00:32:37,640 Speaker 1: you can share my points, Okay, cool, cool, cool cool? Um. 555 00:32:37,680 --> 00:32:40,400 Speaker 1: This one is this former model turned high school English 556 00:32:40,400 --> 00:32:43,160 Speaker 1: teacher met his student on an online dating site. The 557 00:32:43,200 --> 00:32:46,080 Speaker 1: pair engaged in a sexual relationship before he discovered she 558 00:32:46,160 --> 00:32:49,400 Speaker 1: was underage, but continued seeing each other until the teacher 559 00:32:49,480 --> 00:32:56,320 Speaker 1: cheated on his student. Okay, uh, that sounds pretty sleazy. 560 00:32:56,400 --> 00:32:59,280 Speaker 1: I think I'm gonna go with real life on that one. Yeah, 561 00:32:59,280 --> 00:33:01,440 Speaker 1: I think that's that's that sounds that sounds about real 562 00:33:01,480 --> 00:33:06,840 Speaker 1: to me. It's too crazy. It is a plotline from 563 00:33:06,880 --> 00:33:09,960 Speaker 1: One Tree Hill, you know. Jokingly, I was just gonna 564 00:33:10,000 --> 00:33:13,080 Speaker 1: say One Tree Hill because I realized, like so many 565 00:33:13,080 --> 00:33:15,440 Speaker 1: of the c W shows have this as like one 566 00:33:15,480 --> 00:33:18,800 Speaker 1: of their main like sort of story points. But damn, 567 00:33:19,240 --> 00:33:23,320 Speaker 1: that is like we're creating, they're like, you can't, we 568 00:33:23,360 --> 00:33:26,720 Speaker 1: can't air it until there's a student teacher relationship or 569 00:33:26,720 --> 00:33:28,840 Speaker 1: like every pilot has it written into it, so that's 570 00:33:28,840 --> 00:33:30,720 Speaker 1: the set. I was like, Yeah, we like this show. 571 00:33:30,840 --> 00:33:33,520 Speaker 1: I guess I should have known that reality is less 572 00:33:33,520 --> 00:33:38,000 Speaker 1: fond of the case of mistaken identity dating thing than uh. 573 00:33:39,080 --> 00:33:40,800 Speaker 1: I think it's what they used to make it kind 574 00:33:40,800 --> 00:33:45,360 Speaker 1: of okay, but right, um, okay, this high school media 575 00:33:45,440 --> 00:33:48,600 Speaker 1: services director had a sexual relationship with a fifteen year 576 00:33:48,600 --> 00:33:51,520 Speaker 1: old student and convinced him to murder her husband, then 577 00:33:51,640 --> 00:33:57,040 Speaker 1: ended up going to prison for life. Oh real, I'm 578 00:33:57,040 --> 00:33:59,920 Speaker 1: gonna go real again. I'm gonna say real too, just 579 00:34:00,080 --> 00:34:04,480 Speaker 1: because it's a media services and I feel like any 580 00:34:04,520 --> 00:34:07,480 Speaker 1: any TV show would be like teacher. Everyone in a school, 581 00:34:07,520 --> 00:34:10,719 Speaker 1: it's a teacher. Yeah, that's on the wheelhouse. So many 582 00:34:10,760 --> 00:34:17,320 Speaker 1: writers are like media services directors. Yes, it's a real one. Um, 583 00:34:17,360 --> 00:34:21,719 Speaker 1: but it was a Pamela Smart But Nicole Kidman did 584 00:34:21,760 --> 00:34:26,719 Speaker 1: play her in a movie eventually, Wow, to die Yes, 585 00:34:26,840 --> 00:34:34,200 Speaker 1: to Die for someone knows their stuff. They're gross. Before 586 00:34:34,360 --> 00:34:36,080 Speaker 1: before we started talking to Jack was like going through 587 00:34:36,080 --> 00:34:38,399 Speaker 1: other films that he thought fits this too, and yeah, wow, 588 00:34:38,480 --> 00:34:40,080 Speaker 1: you know a lot you got to. That's the thing 589 00:34:40,120 --> 00:34:42,400 Speaker 1: I really I limited a lot of I limited these 590 00:34:42,440 --> 00:34:46,200 Speaker 1: two um to only teen dramas, but it occurs in 591 00:34:46,280 --> 00:34:50,040 Speaker 1: a lot of other kinds of media. Um, okay, I'll 592 00:34:50,080 --> 00:34:52,640 Speaker 1: do like to. I'll do two more. This forty nine 593 00:34:52,680 --> 00:34:55,239 Speaker 1: year old elementary school teacher engaged in oral sex with 594 00:34:55,280 --> 00:34:57,480 Speaker 1: a fourteen year old student to prevent him from having 595 00:34:57,520 --> 00:35:00,600 Speaker 1: sex with his girlfriend, who was also coincidentally his god daughter. 596 00:35:01,080 --> 00:35:04,480 Speaker 1: She was charged with three class two felony counts of 597 00:35:04,520 --> 00:35:08,279 Speaker 1: sexual conduct with a minor. That's real. That that I 598 00:35:08,680 --> 00:35:11,640 Speaker 1: just got so confused there. So the teacher engaged in 599 00:35:11,719 --> 00:35:15,680 Speaker 1: oral sex with the male student to keep male student 600 00:35:16,160 --> 00:35:19,600 Speaker 1: from having sex with his girlfriend, who was also his 601 00:35:19,760 --> 00:35:23,480 Speaker 1: god daughter. Yes, so he didn't want this student having 602 00:35:23,480 --> 00:35:27,400 Speaker 1: sex with his god daughter, so he from him. No, 603 00:35:27,560 --> 00:35:32,680 Speaker 1: the teachers a woman, right, yes, And and the student 604 00:35:33,160 --> 00:35:37,080 Speaker 1: and the student's girlfriend is her god daughter? Her is 605 00:35:37,239 --> 00:35:40,600 Speaker 1: his god daughter? Is the student's god daughter? Maybe it's 606 00:35:40,600 --> 00:35:43,040 Speaker 1: her god daughter. I'm so confused. That would make that 607 00:35:43,080 --> 00:35:47,359 Speaker 1: would make more sense either way. I know this one, 608 00:35:47,360 --> 00:35:52,319 Speaker 1: it's godfather three right, Yeah, it's just a thing that 609 00:35:52,360 --> 00:35:57,560 Speaker 1: happened in Florida, I know. Um. And this last one 610 00:35:57,600 --> 00:36:00,560 Speaker 1: is maybe my favorite of all, my favorite at Tory 611 00:36:00,680 --> 00:36:09,600 Speaker 1: Rath my faith satch kids call it catch flog. This 612 00:36:09,719 --> 00:36:12,719 Speaker 1: high school English teacher had a short term sexual relationship 613 00:36:12,760 --> 00:36:15,799 Speaker 1: with a local miner and a long term romantic relationship 614 00:36:15,880 --> 00:36:19,600 Speaker 1: and sexual relationship with another miner, this time a student 615 00:36:19,640 --> 00:36:22,160 Speaker 1: in one of his classes. Upon learning his student and 616 00:36:22,239 --> 00:36:25,200 Speaker 1: her friends are being were being blackmailed by a homicidal stalker, 617 00:36:25,440 --> 00:36:27,959 Speaker 1: he poses as their tormentor and an effort to gather 618 00:36:28,080 --> 00:36:31,680 Speaker 1: material for his true crime novel. Eventually, the student and 619 00:36:31,760 --> 00:36:36,520 Speaker 1: teacher wed, oh, this is Pretty Little Liars. Yes it is. 620 00:36:36,520 --> 00:36:40,839 Speaker 1: It's the most insane thing. I got funk with me. Yes, 621 00:36:40,960 --> 00:36:43,600 Speaker 1: I knew that one. Did you watch Pretty Little Liars? 622 00:36:43,640 --> 00:36:45,040 Speaker 1: Or did was that in like one of your listenings? 623 00:36:45,120 --> 00:36:48,319 Speaker 1: Oh no, that's that's actually passively from my girlfriend who 624 00:36:48,400 --> 00:36:50,279 Speaker 1: loves it. And I remember seeing this and like, yo, 625 00:36:50,400 --> 00:36:53,200 Speaker 1: this is fucked up. I'm like, how are you watching this? 626 00:36:53,320 --> 00:36:56,399 Speaker 1: Like this is like the least woke entertainment ever. It's 627 00:36:56,400 --> 00:36:58,719 Speaker 1: like it's fun. Wait, so the teacher was like a 628 00:36:58,840 --> 00:37:03,640 Speaker 1: serial pedophile. Was he treated as such? No? Their relationship 629 00:37:03,680 --> 00:37:06,160 Speaker 1: was treated as like a real romance, like they were 630 00:37:06,200 --> 00:37:11,040 Speaker 1: like the long term committed lovers of the entire series, right, 631 00:37:11,080 --> 00:37:13,400 Speaker 1: and I remember people are like rooting for them to 632 00:37:13,680 --> 00:37:15,880 Speaker 1: be together. Well, it was weird that the whole thing 633 00:37:15,920 --> 00:37:17,759 Speaker 1: was like, yes, sorry, I was just doing research for 634 00:37:17,840 --> 00:37:21,320 Speaker 1: my crime novel. And then it's like like I remember 635 00:37:21,360 --> 00:37:23,840 Speaker 1: that was like that's how he's ending this weird relationship. 636 00:37:24,000 --> 00:37:27,600 Speaker 1: He was dating his student to get information on the 637 00:37:27,640 --> 00:37:30,000 Speaker 1: student that died. No, he was dating her. He was 638 00:37:30,080 --> 00:37:33,520 Speaker 1: dating her because he loved her. But then okay, well 639 00:37:33,560 --> 00:37:39,239 Speaker 1: then it's okay even if someone is not your teeth, Like, 640 00:37:39,280 --> 00:37:42,239 Speaker 1: so you have a normal boyfriend's girlfriend relationship and you're 641 00:37:42,280 --> 00:37:46,040 Speaker 1: the same age and it's not statutory rape. Um. The 642 00:37:46,200 --> 00:37:49,480 Speaker 1: point where he finds out that I am being stocked 643 00:37:49,480 --> 00:37:52,640 Speaker 1: by a murderer and does anything but alert the authorities, 644 00:37:52,760 --> 00:37:55,640 Speaker 1: much less than poses as the murderer to see like 645 00:37:55,880 --> 00:37:58,399 Speaker 1: what kind of good like true crime gems he can 646 00:37:58,400 --> 00:38:00,560 Speaker 1: scoop out of this is like that that'd be the 647 00:38:00,680 --> 00:38:04,319 Speaker 1: end for me. I feel like, that's that's just my boundary. Well, 648 00:38:04,360 --> 00:38:08,880 Speaker 1: I guess you don't support the arts to trying to 649 00:38:08,880 --> 00:38:14,600 Speaker 1: write a novel, But yeah, we were, we were looking earlier. 650 00:38:14,680 --> 00:38:19,040 Speaker 1: And this happens in basically every ced of you drama, right, 651 00:38:19,080 --> 00:38:22,480 Speaker 1: Like it happened twice in Gossip Girl. Yeah, it happened 652 00:38:22,640 --> 00:38:25,040 Speaker 1: twice in Gossip Girl, though I think only once in 653 00:38:25,400 --> 00:38:27,399 Speaker 1: Oh No, you're right twice while they were in high 654 00:38:27,480 --> 00:38:29,799 Speaker 1: high school and gossip happens to Blair, I mean it 655 00:38:29,840 --> 00:38:33,000 Speaker 1: happens to Serena and it happens to Dan nice yea 656 00:38:33,719 --> 00:38:39,600 Speaker 1: the Gossip Girl expert Jack over here, Taylor, did you 657 00:38:39,600 --> 00:38:44,120 Speaker 1: I'm curious did you come across any examples where, um, 658 00:38:44,120 --> 00:38:47,279 Speaker 1: it's not treated as like a romantic storyline, Like any 659 00:38:47,360 --> 00:38:49,880 Speaker 1: examples were like like in Riverdale, I was kind of 660 00:38:49,880 --> 00:38:51,720 Speaker 1: struck by, Like there is a moment where the parents 661 00:38:51,760 --> 00:38:55,560 Speaker 1: find out and they're like, you know, they're appalled, but 662 00:38:55,600 --> 00:38:59,440 Speaker 1: I felt like not appalled enough. They're just like, well, teacher, 663 00:38:59,600 --> 00:39:02,759 Speaker 1: this teach or has to leave Riverdale and never come back. 664 00:39:03,080 --> 00:39:06,200 Speaker 1: That's it. It's as opposed to Yeah, that was pressing 665 00:39:10,440 --> 00:39:14,560 Speaker 1: into an episode of a show called The Fosters where um, 666 00:39:15,040 --> 00:39:18,880 Speaker 1: they find out that the teenage son I guess is 667 00:39:18,920 --> 00:39:20,759 Speaker 1: involved with I don't know if it's a teacher. I 668 00:39:20,800 --> 00:39:23,400 Speaker 1: think it's like an older like girlfriend of the father 669 00:39:23,520 --> 00:39:26,640 Speaker 1: or something. And at first it's like it's like a 670 00:39:26,719 --> 00:39:29,400 Speaker 1: lesson in gender because at first the death that father 671 00:39:29,520 --> 00:39:32,320 Speaker 1: is mad at his stun or his stepson or whatever, 672 00:39:32,680 --> 00:39:34,400 Speaker 1: and then they're like, if this was a girl, you 673 00:39:34,480 --> 00:39:36,319 Speaker 1: treat it differently, and he's like, you know what, You're right, 674 00:39:36,320 --> 00:39:38,520 Speaker 1: you're out of my life, Sharon or whatever the woman's 675 00:39:38,600 --> 00:39:40,680 Speaker 1: name is who had sex with a minor. But so 676 00:39:40,680 --> 00:39:43,839 Speaker 1: that's like the only instance I found in researching, like 677 00:39:44,040 --> 00:39:48,120 Speaker 1: particularly Riverdale, which is so so Riverdale to me, it's 678 00:39:48,160 --> 00:39:50,799 Speaker 1: weird because it's it came out last year and it's 679 00:39:50,840 --> 00:39:53,720 Speaker 1: the I feel like Pretty Little Liars is really bad, 680 00:39:53,920 --> 00:39:57,920 Speaker 1: but Riverdale is so like because Riverdale, so much of 681 00:39:58,000 --> 00:40:00,560 Speaker 1: Riverdale is just the beginning of porn. That's like what 682 00:40:00,600 --> 00:40:02,920 Speaker 1: that show is. It's just like the first two minutes 683 00:40:02,920 --> 00:40:07,000 Speaker 1: of different um overproduced porn videos strung together into a 684 00:40:07,080 --> 00:40:10,480 Speaker 1: teen A lot of deliveries on that show, a lot 685 00:40:11,080 --> 00:40:14,440 Speaker 1: See Me after Class, but a lot that This is 686 00:40:14,520 --> 00:40:19,239 Speaker 1: kind of like a weirdly tone deaf um relationship for 687 00:40:19,320 --> 00:40:22,600 Speaker 1: its time, and she's off the show. But it was 688 00:40:22,600 --> 00:40:25,880 Speaker 1: a weird storyline also because in the comics, Miss Grundi 689 00:40:26,040 --> 00:40:29,320 Speaker 1: is like really old ye, Miss Grundi is not hot 690 00:40:29,480 --> 00:40:31,960 Speaker 1: at all? I mean, is Artie really supposed to be 691 00:40:32,000 --> 00:40:34,640 Speaker 1: that hot either. I mean I think he's supposed to 692 00:40:34,640 --> 00:40:40,400 Speaker 1: be like whoo woo who become very cw I fired 693 00:40:40,480 --> 00:40:44,600 Speaker 1: everybody's But I mean this is like a porn trope, right, 694 00:40:44,680 --> 00:40:47,759 Speaker 1: It's like the pizza delivery guy. And then also there's 695 00:40:47,800 --> 00:40:53,200 Speaker 1: like teacher student relationships like those are sort of mainstream, 696 00:40:53,840 --> 00:40:57,640 Speaker 1: well known porn tropes. And yeah, it seems I feel 697 00:40:57,680 --> 00:41:01,440 Speaker 1: like this is crazy because it's a bigger problem in 698 00:41:01,560 --> 00:41:05,759 Speaker 1: reality than I think even we realize, because I feel 699 00:41:05,800 --> 00:41:08,600 Speaker 1: like all the times that I knew it was happening, 700 00:41:08,800 --> 00:41:11,200 Speaker 1: like when I was a high school student, like the 701 00:41:11,600 --> 00:41:14,319 Speaker 1: teacher didn't end up getting caught and like turned into 702 00:41:14,360 --> 00:41:17,279 Speaker 1: like a national news story. It's just like even when 703 00:41:17,320 --> 00:41:20,200 Speaker 1: the parents did find out, they didn't want to ruin 704 00:41:20,560 --> 00:41:23,640 Speaker 1: their daughter's life where you know, as they thought ruined 705 00:41:23,680 --> 00:41:26,239 Speaker 1: their daughter's life, so they just kept it quiet. But 706 00:41:26,560 --> 00:41:29,640 Speaker 1: like told the guy to go to find a different job. 707 00:41:29,840 --> 00:41:33,000 Speaker 1: And now he's I checked on this guy, and like 708 00:41:33,080 --> 00:41:36,120 Speaker 1: now he's like a teacher at a different school. It's 709 00:41:36,160 --> 00:41:42,040 Speaker 1: like great as the clergy. Basically it can't be any well. 710 00:41:42,160 --> 00:41:45,240 Speaker 1: I mean that's the thing. I read a really crazy 711 00:41:45,360 --> 00:41:48,840 Speaker 1: article about the Jerry Sandusky thing, but the Penn State 712 00:41:49,120 --> 00:41:54,480 Speaker 1: child abuser, and they like talked about how these people 713 00:41:54,560 --> 00:41:58,279 Speaker 1: who are predators, they just have their whole life is 714 00:41:58,320 --> 00:42:03,560 Speaker 1: basically built around them getting access to whatever their prey 715 00:42:03,600 --> 00:42:07,879 Speaker 1: of choices, and so yeah, I mean I think that's 716 00:42:08,000 --> 00:42:10,520 Speaker 1: why it's so common, is that a lot of people 717 00:42:10,800 --> 00:42:16,600 Speaker 1: choose their profession maybe specifically to gain access to two kids. 718 00:42:17,000 --> 00:42:20,600 Speaker 1: So yeah, the fact that it's normalized, that's something that 719 00:42:21,280 --> 00:42:25,000 Speaker 1: teen dramas really need to check that look at yourself 720 00:42:25,000 --> 00:42:27,880 Speaker 1: in the mirror. Cw Right. It's actually kind of interesting, 721 00:42:27,920 --> 00:42:30,960 Speaker 1: like whose fantasy is being fulfilled in these teen dramas 722 00:42:30,960 --> 00:42:34,879 Speaker 1: because these like are the writers imagining that, like this 723 00:42:34,920 --> 00:42:38,080 Speaker 1: is something that like the high school kids watching the 724 00:42:38,120 --> 00:42:41,000 Speaker 1: show want and are interested in, or is it like 725 00:42:41,080 --> 00:42:47,400 Speaker 1: more like yeah, like you know, yeah, it's weird because 726 00:42:47,520 --> 00:42:52,000 Speaker 1: in I think like there's different ways to go about it, 727 00:42:52,040 --> 00:42:54,960 Speaker 1: but especially with the Riverdale Dale storyline, it was weird 728 00:42:55,040 --> 00:42:57,920 Speaker 1: because they kind of there you're right, like the parents 729 00:42:57,920 --> 00:42:59,839 Speaker 1: were like, what the hell you can't funk my kid? 730 00:43:00,160 --> 00:43:04,759 Speaker 1: And then wait a second, Archie, I thought you're giving 731 00:43:04,800 --> 00:43:07,600 Speaker 1: him music lessons, but you're giving music lessons and fucking well, 732 00:43:07,600 --> 00:43:10,040 Speaker 1: what if those has to staff. She's like, I can't 733 00:43:10,040 --> 00:43:12,400 Speaker 1: give you music lessons anymore because of our history, and 734 00:43:12,440 --> 00:43:14,839 Speaker 1: it's like, bitch, you're a music teacher. You're not even 735 00:43:14,840 --> 00:43:18,800 Speaker 1: doing your job at this. Now you're fucking the kids 736 00:43:18,840 --> 00:43:22,279 Speaker 1: and you're not even teaching them music. That's crazy, Like 737 00:43:22,920 --> 00:43:25,319 Speaker 1: you have to at least teach them music if you're 738 00:43:25,320 --> 00:43:27,920 Speaker 1: going to do that, and she doesn't, and then it's 739 00:43:27,960 --> 00:43:30,239 Speaker 1: kind of spirals into this thing where the kids um 740 00:43:30,360 --> 00:43:33,320 Speaker 1: investigate her on their own, as children and television often 741 00:43:33,360 --> 00:43:36,160 Speaker 1: do because they're so such good detectives because the legal 742 00:43:36,200 --> 00:43:39,359 Speaker 1: system failed them. They did well, yeah, it sistantly doesn't 743 00:43:39,360 --> 00:43:42,439 Speaker 1: need small towns that are made up. And they find 744 00:43:42,440 --> 00:43:44,680 Speaker 1: a gun and I would have gotten away with reaping 745 00:43:44,760 --> 00:43:47,160 Speaker 1: Archie if it weren't for those pesky kids in the job. 746 00:43:49,440 --> 00:43:51,920 Speaker 1: They stole my gun and they did, and then she 747 00:43:52,280 --> 00:43:55,080 Speaker 1: like manipulates him emotionally. They like they have this weird 748 00:43:55,080 --> 00:43:57,560 Speaker 1: story line where she's like, well, I was abused, so 749 00:43:57,640 --> 00:44:01,400 Speaker 1: now all the teenagers watching it are like, oh see 750 00:44:01,480 --> 00:44:07,600 Speaker 1: she's a victim, so it's okay if she sucks these kids. 751 00:44:07,719 --> 00:44:09,640 Speaker 1: I don't know, like it's it seems like they then 752 00:44:09,680 --> 00:44:13,520 Speaker 1: they went out and they like legitimized her very weird 753 00:44:13,560 --> 00:44:15,680 Speaker 1: behavior of driving around with a gun in her car 754 00:44:15,920 --> 00:44:19,880 Speaker 1: and picking up local teens for sex. Yeah, just on paper, 755 00:44:19,920 --> 00:44:22,960 Speaker 1: that's just the worst look ever. Yeah, they read it 756 00:44:23,000 --> 00:44:24,239 Speaker 1: and they were like, I don't know if this is 757 00:44:24,280 --> 00:44:28,399 Speaker 1: sexy good? And I think, well yeah, And I mean 758 00:44:28,640 --> 00:44:31,719 Speaker 1: I was just thinking about this today and realized that 759 00:44:31,760 --> 00:44:36,680 Speaker 1: a movie I really love, Election, like it has a 760 00:44:36,719 --> 00:44:41,799 Speaker 1: student teacher relationship and the student is kind of considered 761 00:44:42,120 --> 00:44:46,480 Speaker 1: like the bad person in it, like the Reese Witherspoon character, 762 00:44:46,640 --> 00:44:49,600 Speaker 1: like because then she goes on to like have a 763 00:44:49,640 --> 00:44:52,880 Speaker 1: relationship with a politician, so it's almost like she's the 764 00:44:52,920 --> 00:44:57,120 Speaker 1: aggressor or something like that. It's like that's a case 765 00:44:57,160 --> 00:45:00,680 Speaker 1: of pedophilia. Like it's weird that alexand her paint right 766 00:45:01,800 --> 00:45:04,760 Speaker 1: in these scenarios too. I mean that in these shows, 767 00:45:04,840 --> 00:45:08,160 Speaker 1: the kids are always as smart as their teachers, and 768 00:45:08,160 --> 00:45:11,040 Speaker 1: then the teachers are also always as beautiful as the students, 769 00:45:11,040 --> 00:45:15,080 Speaker 1: which like that give and take never happens either. It's 770 00:45:15,120 --> 00:45:17,680 Speaker 1: so rare, Like even the hottest teacher at your high 771 00:45:17,680 --> 00:45:21,880 Speaker 1: school is like hot for a high school teacher, Like 772 00:45:22,239 --> 00:45:24,840 Speaker 1: it's I don't know if they never this poor woman 773 00:45:24,880 --> 00:45:27,239 Speaker 1: to the rest of Riverdale. They dressed these kids to 774 00:45:27,280 --> 00:45:30,799 Speaker 1: be like, you know, like amazing Instagram versions of teenagers, 775 00:45:30,800 --> 00:45:34,880 Speaker 1: and this poor woman who plays this kid fucker teacher. 776 00:45:35,160 --> 00:45:36,960 Speaker 1: They put her in the They put her in like 777 00:45:37,160 --> 00:45:40,799 Speaker 1: hot teacher clothes they found outside of whatever warehouse they 778 00:45:40,840 --> 00:45:44,799 Speaker 1: filmed their last porn hub teacher video. They don't try 779 00:45:44,840 --> 00:45:48,359 Speaker 1: at all. They give her these big, crazy glasses. It's 780 00:45:48,400 --> 00:45:51,680 Speaker 1: so lazy and weird and uncomfortable. Is there ever, like 781 00:45:51,719 --> 00:45:54,160 Speaker 1: one of those obligatory moments where her hair is up 782 00:45:54,320 --> 00:45:56,600 Speaker 1: and then she has to take it down out of 783 00:45:56,640 --> 00:46:00,120 Speaker 1: her hair the one There is one scene where she 784 00:46:00,200 --> 00:46:03,479 Speaker 1: just takes off her glasses in so many steps. There's 785 00:46:03,560 --> 00:46:06,680 Speaker 1: so many steps to it, and it makes me angry. 786 00:46:06,719 --> 00:46:08,840 Speaker 1: I made a gift of it, I or and I like, 787 00:46:09,280 --> 00:46:11,200 Speaker 1: it makes me so mad. I watched it, I repeated it. 788 00:46:11,360 --> 00:46:13,360 Speaker 1: I was watching with other people and I rewounded a 789 00:46:13,360 --> 00:46:14,840 Speaker 1: bunch of times, and I was like, this is terrible. 790 00:46:15,480 --> 00:46:17,600 Speaker 1: Why is this so? And like so much of her 791 00:46:17,600 --> 00:46:20,319 Speaker 1: plotline is really devoted to her just being like I 792 00:46:20,360 --> 00:46:23,120 Speaker 1: wear glasses, I guess, but I guess I'm hot under them. 793 00:46:23,160 --> 00:46:26,799 Speaker 1: I guess wait, how do you take your glasses off 794 00:46:26,840 --> 00:46:29,120 Speaker 1: in more than just the first step of removing them 795 00:46:29,160 --> 00:46:31,879 Speaker 1: from your face? Let me try. Let me see how 796 00:46:32,000 --> 00:46:35,480 Speaker 1: long I can like stretch this out. Okay, so that's 797 00:46:35,480 --> 00:46:40,359 Speaker 1: still folding, and then like I don't know that, get 798 00:46:40,400 --> 00:46:42,399 Speaker 1: your case out and get the case out. I thought 799 00:46:42,480 --> 00:46:44,680 Speaker 1: you have a little dirty I better clean, right. I 800 00:46:44,760 --> 00:46:46,600 Speaker 1: thought you have one of those straps behind that, like 801 00:46:46,640 --> 00:46:49,000 Speaker 1: pe teachers have on their sunglasses, Like, let me undo 802 00:46:49,080 --> 00:46:52,879 Speaker 1: the strap first and I can take these off. I 803 00:46:52,920 --> 00:46:56,000 Speaker 1: was thinking about um and speaking of like movies that 804 00:46:56,239 --> 00:46:58,320 Speaker 1: I realized like, oh yeah, I really love this movie. 805 00:46:58,360 --> 00:47:00,480 Speaker 1: And then thinking about it, it's neg sample of this 806 00:47:00,520 --> 00:47:02,880 Speaker 1: exact thing that we're talking about. Never Been Kissed with 807 00:47:02,960 --> 00:47:06,000 Speaker 1: Drew Barrymore. I used to love that movie. And then 808 00:47:06,040 --> 00:47:09,440 Speaker 1: I was just like refreshing my memory of the plot 809 00:47:09,640 --> 00:47:12,879 Speaker 1: before we got started here, and I was like, oh, yeah, right, 810 00:47:13,040 --> 00:47:15,400 Speaker 1: he falls in love with the student. He falls in 811 00:47:15,440 --> 00:47:17,359 Speaker 1: love with a student, and then at the end, like 812 00:47:17,440 --> 00:47:20,720 Speaker 1: her big article is like I'm so sorry for deceiving 813 00:47:20,719 --> 00:47:24,160 Speaker 1: anyone everyone, but you know, I am in love with you, 814 00:47:24,360 --> 00:47:26,920 Speaker 1: teacher guy, and meet me on this baseball field and 815 00:47:26,920 --> 00:47:29,720 Speaker 1: like kiss me, and like we'll start our lives together 816 00:47:29,880 --> 00:47:33,040 Speaker 1: or whatever. So it's like basically like outing him as 817 00:47:33,200 --> 00:47:36,359 Speaker 1: a teacher that was interested in a student and then 818 00:47:36,440 --> 00:47:38,640 Speaker 1: he shows up. So it's like, yep, it was me. 819 00:47:39,160 --> 00:47:42,640 Speaker 1: I totally wanted to fuck this person who I thought 820 00:47:42,760 --> 00:47:44,520 Speaker 1: was a seventeen year old and then I got mad 821 00:47:44,520 --> 00:47:49,759 Speaker 1: when I found out she wasn't seventeen. She deceived me, Like, wait, 822 00:47:49,800 --> 00:47:55,040 Speaker 1: so you wanted her to be seventeen, Like that's very problem. 823 00:47:55,719 --> 00:47:57,960 Speaker 1: That's the insane part that he gets angry when he's like, 824 00:47:58,000 --> 00:48:03,279 Speaker 1: you're an adult that's disgusted. Yeah, it's just, yeah, what's 825 00:48:03,320 --> 00:48:05,400 Speaker 1: kind of funny because I mean, there's no shortage in 826 00:48:05,400 --> 00:48:07,520 Speaker 1: the news, right if you search, like in Google, you 827 00:48:07,520 --> 00:48:11,880 Speaker 1: put news and you put teacher student relationship, there's no 828 00:48:11,960 --> 00:48:14,399 Speaker 1: shortage of this thing having over and over and over again. 829 00:48:14,400 --> 00:48:16,279 Speaker 1: And it seems like now like you're seeing actually more 830 00:48:16,320 --> 00:48:19,799 Speaker 1: women like having to answer to justice for this. But 831 00:48:19,840 --> 00:48:22,840 Speaker 1: if you just search a regular Google search like teacher 832 00:48:22,920 --> 00:48:26,600 Speaker 1: student relationship, you just get listicles of like the hottest 833 00:48:26,640 --> 00:48:29,759 Speaker 1: student teacher relationships from film and TV. So it's like 834 00:48:30,000 --> 00:48:32,600 Speaker 1: it's odd that even like in the context of this 835 00:48:32,680 --> 00:48:35,319 Speaker 1: being so prevalent, like in the media that there's like 836 00:48:35,360 --> 00:48:37,120 Speaker 1: there are not many people talking about like, yo, what 837 00:48:37,160 --> 00:48:40,600 Speaker 1: are we teaching kids right now? Yeah, And I mean 838 00:48:40,760 --> 00:48:43,120 Speaker 1: when you look at the real examples, like Taylor said, 839 00:48:43,200 --> 00:48:47,600 Speaker 1: like the teachers are you know, forty five year old 840 00:48:47,760 --> 00:48:50,680 Speaker 1: ugly people who you can tell like somehow like forced 841 00:48:50,800 --> 00:48:53,880 Speaker 1: this kid into a relationship that they like definitely weren't 842 00:48:53,920 --> 00:48:57,200 Speaker 1: interested in. So uh not that it's cool if the 843 00:48:57,239 --> 00:49:00,239 Speaker 1: teachers hot, but it's still like I don't know, like 844 00:49:00,280 --> 00:49:03,799 Speaker 1: they just glamorize it in a way that's like unrealistic. Yeah, 845 00:49:03,800 --> 00:49:05,439 Speaker 1: they glamorize it, and then I think they all say 846 00:49:05,560 --> 00:49:08,160 Speaker 1: like often these storylines, you know, I'm sure in real 847 00:49:08,200 --> 00:49:10,759 Speaker 1: life too, sometimes it's like, you know, it blurs the 848 00:49:10,840 --> 00:49:12,960 Speaker 1: line of like consent and you know there are different 849 00:49:13,000 --> 00:49:15,279 Speaker 1: ages of consent and different states and that kind of thing, 850 00:49:15,360 --> 00:49:17,000 Speaker 1: and it's kind of you know there, I'm sure there 851 00:49:17,000 --> 00:49:19,920 Speaker 1: are some students who, you know, maybe think that they're consenting, 852 00:49:19,960 --> 00:49:22,399 Speaker 1: but it's like now you're teenager, you don't know what's 853 00:49:22,440 --> 00:49:25,720 Speaker 1: going on, right, But yeah, consistently in the pop culture, 854 00:49:25,719 --> 00:49:28,280 Speaker 1: for examples, it's very much like this is our toward 855 00:49:28,360 --> 00:49:31,239 Speaker 1: love affair, and you know, we're on equal footing here. 856 00:49:31,600 --> 00:49:35,040 Speaker 1: It does not highlight the power dynamic that's in place 857 00:49:35,080 --> 00:49:38,919 Speaker 1: there at all. Uh. You know that's like so it's 858 00:49:39,040 --> 00:49:42,600 Speaker 1: just so much more subtle sometimes. Yeah, that's we're we're 859 00:49:42,600 --> 00:49:45,879 Speaker 1: basically out of time. But Taylor, thank you so much 860 00:49:46,040 --> 00:49:50,080 Speaker 1: for coming on. Where can people find you think? Got 861 00:49:50,120 --> 00:49:54,480 Speaker 1: me on Twitter at Taylor Underscore or Tega Love Underscores 862 00:49:55,320 --> 00:50:02,640 Speaker 1: and also on Instagram at uh carbra Underscore, strisand pictures 863 00:50:02,680 --> 00:50:09,160 Speaker 1: of myself. It's great, Killer has a great Alright, alright, 864 00:50:09,200 --> 00:50:12,359 Speaker 1: carbon Strais and thanks so much for coming on. Thank you, 865 00:50:12,400 --> 00:50:16,560 Speaker 1: thank you for having me later and we're back. Uh, 866 00:50:16,640 --> 00:50:20,040 Speaker 1: And we wanted to take a little while Alice and 867 00:50:20,120 --> 00:50:25,200 Speaker 1: you were pointing out in our pitch talk that as 868 00:50:25,200 --> 00:50:30,840 Speaker 1: a country, America is just bad at being prepared for 869 00:50:31,560 --> 00:50:34,440 Speaker 1: bad stuff to happen just in general. Yeah, pretty pretty 870 00:50:34,520 --> 00:50:36,480 Speaker 1: much anything. Yeah, I mean it was just like, so 871 00:50:36,520 --> 00:50:40,160 Speaker 1: I was reading about um Mexico, like in the context 872 00:50:40,200 --> 00:50:42,839 Speaker 1: of the two earthworks that they just had, how they 873 00:50:42,920 --> 00:50:46,520 Speaker 1: have uh like like a warning system throughout the country 874 00:50:46,560 --> 00:50:48,560 Speaker 1: that alerts people, and you know sometimes you can only 875 00:50:48,840 --> 00:50:51,399 Speaker 1: find out like fifteen seconds before it's going to happen 876 00:50:51,480 --> 00:50:54,400 Speaker 1: or whatever. But that is like enough time to save 877 00:50:54,520 --> 00:50:56,319 Speaker 1: more lives than you would if you didn't have something 878 00:50:56,360 --> 00:50:59,239 Speaker 1: like that at all. And um, California is in the 879 00:50:59,360 --> 00:51:02,080 Speaker 1: process us of getting that off the ground, but not 880 00:51:02,280 --> 00:51:05,080 Speaker 1: really and like maybe there will be federal funding, but 881 00:51:05,200 --> 00:51:08,480 Speaker 1: probably not because it's Trump and um, you know the 882 00:51:08,840 --> 00:51:10,560 Speaker 1: expert that was talking about it was kind of saying 883 00:51:10,560 --> 00:51:12,800 Speaker 1: that it's like, yeah, because we haven't had a major 884 00:51:12,880 --> 00:51:16,759 Speaker 1: disaster like that, Like if someone something bad happens, then 885 00:51:16,800 --> 00:51:20,920 Speaker 1: we'll be like, oh, ship, we should spend the money 886 00:51:20,960 --> 00:51:23,080 Speaker 1: to make sure that something like this doesn't happen again. 887 00:51:23,360 --> 00:51:25,800 Speaker 1: But it'll like we we it's like we don't think 888 00:51:26,280 --> 00:51:29,080 Speaker 1: ahead until it happens. And it just made me start 889 00:51:29,120 --> 00:51:32,000 Speaker 1: thinking about you know, like the the conversations that we're 890 00:51:32,000 --> 00:51:34,440 Speaker 1: having the country right now about health care and insurance 891 00:51:34,440 --> 00:51:36,960 Speaker 1: and kind of like, yeah, everybody needs insurance, Like the 892 00:51:37,040 --> 00:51:39,360 Speaker 1: society will be better in the long run if we 893 00:51:39,440 --> 00:51:42,759 Speaker 1: all have insurance. Uh. Climate, you know, it applies to 894 00:51:42,800 --> 00:51:46,880 Speaker 1: climate change, it applies to like how retirement and social 895 00:51:46,920 --> 00:51:49,200 Speaker 1: security are handled in this country, where it's just sort 896 00:51:49,200 --> 00:51:51,600 Speaker 1: of like no, every everybody's gonna be fine. You're all 897 00:51:51,640 --> 00:51:53,520 Speaker 1: just gonna like save your money and then it's but 898 00:51:53,640 --> 00:51:56,360 Speaker 1: then it's like all these factors of like just you know, 899 00:51:56,480 --> 00:51:58,400 Speaker 1: saying like oh, we're not going to worry about it, 900 00:51:58,480 --> 00:52:00,799 Speaker 1: or like oh, it's on the individual to take care 901 00:52:00,840 --> 00:52:03,960 Speaker 1: of themselves. Eventually it blows up into this like big 902 00:52:04,000 --> 00:52:07,560 Speaker 1: systemic problem that's too big for society for like the 903 00:52:07,600 --> 00:52:10,440 Speaker 1: government in our society to even correct for. Yeah, you 904 00:52:10,480 --> 00:52:15,160 Speaker 1: can't privatize disaster relief because there's not a demand for 905 00:52:15,320 --> 00:52:18,520 Speaker 1: disaster relief until there's a fucking disaster, so you like 906 00:52:18,600 --> 00:52:21,320 Speaker 1: will never be prepared for disasters. Like that's what was 907 00:52:21,360 --> 00:52:25,480 Speaker 1: so crazy about Trump going from Houston. Uh you know 908 00:52:25,560 --> 00:52:36,360 Speaker 1: that after that Hurricane Harvey. Yeah, that's the one right now. 909 00:52:37,320 --> 00:52:40,920 Speaker 1: But after Harvey, he was like touring the relief efforts, 910 00:52:41,040 --> 00:52:44,439 Speaker 1: the extreme outskirts, not seeing any victims. But and then 911 00:52:44,440 --> 00:52:48,839 Speaker 1: he went up right then he went and like gave 912 00:52:48,880 --> 00:52:51,840 Speaker 1: a speech about like tax reform, and that was essentially 913 00:52:51,840 --> 00:52:54,640 Speaker 1: gonna like cut all taxes. It's like, where do you 914 00:52:54,680 --> 00:52:57,960 Speaker 1: think the relief efforts come from. The Mexican people didn't 915 00:52:58,080 --> 00:53:01,760 Speaker 1: demand a early warning system, and like their government was like, well, ship, 916 00:53:01,840 --> 00:53:04,279 Speaker 1: we should probably do this because you know, because it 917 00:53:04,280 --> 00:53:07,080 Speaker 1: will help our people. Ye think for them. It might 918 00:53:07,120 --> 00:53:08,880 Speaker 1: have been in response to like a big earthquake in 919 00:53:08,880 --> 00:53:10,560 Speaker 1: the eighties too, but it's just yeah, So it's like 920 00:53:10,560 --> 00:53:13,120 Speaker 1: I'm kind of trying to think about like is this 921 00:53:13,440 --> 00:53:16,680 Speaker 1: a problem that's particular to the US, or is this 922 00:53:16,800 --> 00:53:19,719 Speaker 1: just human nature that we you know, which just you 923 00:53:19,760 --> 00:53:21,200 Speaker 1: deal with things that are right in front of you 924 00:53:21,239 --> 00:53:23,880 Speaker 1: and anything that's like hypothetical and we're in the future, 925 00:53:23,960 --> 00:53:27,080 Speaker 1: your brain is just like a little be fine. I mean, 926 00:53:27,239 --> 00:53:30,080 Speaker 1: it's the way like the philosophy of the US in 927 00:53:30,160 --> 00:53:32,080 Speaker 1: handling stuff like that is very similar to like when 928 00:53:32,120 --> 00:53:34,600 Speaker 1: I had like a really shitty car mechanics, like you 929 00:53:34,640 --> 00:53:37,399 Speaker 1: probably want to replace this stuff soon, and my whole 930 00:53:37,440 --> 00:53:39,480 Speaker 1: thing was like I'll do it when it's a problem. 931 00:53:40,040 --> 00:53:43,560 Speaker 1: You know, it's a problem. Now my ship still goes, 932 00:53:43,680 --> 00:53:45,440 Speaker 1: So I think we're good, and I think it's like 933 00:53:45,480 --> 00:53:47,919 Speaker 1: that same mentide of like now I don't it doesn't 934 00:53:47,920 --> 00:53:50,239 Speaker 1: feel like a problem yet, and it's yet it's so 935 00:53:50,320 --> 00:53:52,760 Speaker 1: reactive that yeah, it's too late. And we were talking 936 00:53:52,840 --> 00:53:56,040 Speaker 1: even with hurricane relief, if the for every dollar that 937 00:53:56,080 --> 00:53:59,799 Speaker 1: would have been spent in preparedness amounts to fifteen on 938 00:53:59,840 --> 00:54:03,120 Speaker 1: the back end for like relief response, so like a 939 00:54:03,160 --> 00:54:05,840 Speaker 1: billion dollars in investment, like would is the equivalent of 940 00:54:05,920 --> 00:54:08,719 Speaker 1: fifteen billion in relief efforts? Like just off the math. 941 00:54:08,840 --> 00:54:13,399 Speaker 1: I don't understand why we're not from a purely rational perspective. Yeah, 942 00:54:13,440 --> 00:54:16,680 Speaker 1: it makes sense, but the human mind was not designed 943 00:54:16,800 --> 00:54:19,239 Speaker 1: to Like computers are designed to be purely rational, but 944 00:54:19,239 --> 00:54:22,360 Speaker 1: the human mind was designed back at a time when 945 00:54:22,480 --> 00:54:26,040 Speaker 1: we were you know, still running from animals and you know, 946 00:54:26,120 --> 00:54:29,440 Speaker 1: trying trying to remember which tree gave us the fruit 947 00:54:29,480 --> 00:54:32,600 Speaker 1: that didn't poison us. So like it was just all 948 00:54:32,640 --> 00:54:35,400 Speaker 1: about what we saw in front of us at that moment. 949 00:54:35,480 --> 00:54:39,399 Speaker 1: And I think it's partially that there's also this sort 950 00:54:39,440 --> 00:54:43,000 Speaker 1: of absurd sounding theory that has some pretty compelling evidence 951 00:54:43,040 --> 00:54:48,120 Speaker 1: that the English language is specifically bad at conveying the 952 00:54:48,160 --> 00:54:51,960 Speaker 1: concept of the future. And basically, because we have a 953 00:54:52,000 --> 00:54:55,960 Speaker 1: future tent, we're able to think of the future as 954 00:54:56,080 --> 00:54:59,480 Speaker 1: a completely separate thing that we don't have access to 955 00:54:59,719 --> 00:55:03,400 Speaker 1: and that's never gonna bother us, essentially, whereas there a 956 00:55:03,400 --> 00:55:08,719 Speaker 1: lot of languages where the future tense is actually the 957 00:55:08,800 --> 00:55:12,440 Speaker 1: same as the present tense, and people who speak those 958 00:55:12,520 --> 00:55:16,160 Speaker 1: languages as a first language have been shown to be 959 00:55:16,160 --> 00:55:20,240 Speaker 1: better at saving less likely to smoke, better at doing 960 00:55:20,280 --> 00:55:22,880 Speaker 1: things that prepare for the future because they see the 961 00:55:22,960 --> 00:55:27,279 Speaker 1: present and the future as like a single continuum. Yeah. 962 00:55:27,400 --> 00:55:30,359 Speaker 1: What's interesting about that study is that they also even 963 00:55:30,400 --> 00:55:33,640 Speaker 1: looked at people that speak different languages but that live 964 00:55:33,680 --> 00:55:35,360 Speaker 1: in the same country, like to rule out that it 965 00:55:35,360 --> 00:55:37,960 Speaker 1: wouldn't just be sort of like a cultural phenomenon or 966 00:55:38,000 --> 00:55:40,440 Speaker 1: like a cultural attitude. And they were even seeing the 967 00:55:40,480 --> 00:55:44,120 Speaker 1: discrepancies there, and you know, people like we're rightfully like, well, 968 00:55:44,160 --> 00:55:46,319 Speaker 1: this sounds like bullshit, and like double check the guy's work, 969 00:55:46,360 --> 00:55:51,080 Speaker 1: And I was like, whoa, right, uh, yeah, it's pretty 970 00:55:51,080 --> 00:55:53,120 Speaker 1: it's pretty crazy stuff. I was just thinking because I 971 00:55:53,160 --> 00:55:55,480 Speaker 1: was I was curious of what languages don't have future 972 00:55:55,480 --> 00:55:59,440 Speaker 1: times in present tense, so like those are like Chinese, German, Japanese, Norwegian. 973 00:56:00,080 --> 00:56:03,080 Speaker 1: Then ones that do have a future or separate future 974 00:56:03,080 --> 00:56:07,319 Speaker 1: tense English, Arabic, Greek, and the Romance languages. So that 975 00:56:07,360 --> 00:56:10,040 Speaker 1: makes Yeah, I think the people in that second category 976 00:56:10,080 --> 00:56:12,640 Speaker 1: are dealing with far less like especially at least some 977 00:56:12,960 --> 00:56:17,160 Speaker 1: economic crises. Japan slightly but definitely good at saving for 978 00:56:17,200 --> 00:56:19,520 Speaker 1: the future, that's for sure. Yeah, isn't it Norway or 979 00:56:19,560 --> 00:56:23,360 Speaker 1: we can generalize, Yeah, about entire nations of people, like 980 00:56:23,440 --> 00:56:26,320 Speaker 1: Norway or Finland, they just hit like a trillion dollars 981 00:56:26,320 --> 00:56:29,520 Speaker 1: in savings or something that. Yeah, like it's something crazy. 982 00:56:29,640 --> 00:56:31,520 Speaker 1: So that makes so much sense even in terms of 983 00:56:31,560 --> 00:56:34,760 Speaker 1: this like that they have, like their like social Security 984 00:56:34,800 --> 00:56:37,160 Speaker 1: fund is like that much. Yeah. So I think like 985 00:56:37,200 --> 00:56:39,600 Speaker 1: those types of things are kind of stacked against us 986 00:56:39,640 --> 00:56:41,919 Speaker 1: as a country, Like in terms of like just how 987 00:56:42,040 --> 00:56:45,120 Speaker 1: the human brain works. Uh, the language thing does sound 988 00:56:45,120 --> 00:56:48,239 Speaker 1: pretty compelled. So many force multiplayers that are just right. 989 00:56:48,239 --> 00:56:51,839 Speaker 1: But then I think also there because um, you know there, 990 00:56:51,840 --> 00:56:54,680 Speaker 1: I think I think other countries have a better sense 991 00:56:54,960 --> 00:56:58,080 Speaker 1: or or just prioritize more the sense of like community 992 00:56:58,120 --> 00:57:00,680 Speaker 1: and the greater good of you know, taking care of 993 00:57:00,719 --> 00:57:03,920 Speaker 1: one another. And this country is so much about you know, 994 00:57:04,600 --> 00:57:08,959 Speaker 1: the individual and freedom, and it's like too much freedom 995 00:57:09,080 --> 00:57:14,000 Speaker 1: isn't good. Sometimes when things aren't systematized or not regulated, 996 00:57:14,120 --> 00:57:17,160 Speaker 1: then it's like, you know, in the short term, maybe 997 00:57:17,160 --> 00:57:19,400 Speaker 1: you feel like you've got it under control, but then 998 00:57:19,400 --> 00:57:21,600 Speaker 1: there's no safety net. Yeah. When you go back and 999 00:57:21,640 --> 00:57:25,000 Speaker 1: look at like the histories of great companies in America, 1000 00:57:25,480 --> 00:57:27,920 Speaker 1: like a lot of them are the stories of like 1001 00:57:28,080 --> 00:57:32,000 Speaker 1: ten fifteen people coming together and you know, like all 1002 00:57:32,360 --> 00:57:35,080 Speaker 1: being this like great team that offsets one another, but 1003 00:57:35,160 --> 00:57:38,760 Speaker 1: eventually one person will become the focus of the media 1004 00:57:38,920 --> 00:57:41,040 Speaker 1: and like they all way to tell all books. That's 1005 00:57:41,120 --> 00:57:43,920 Speaker 1: like I like stepped to the forefront, and it's like 1006 00:57:44,280 --> 00:57:47,200 Speaker 1: that we just want to believe in the story of 1007 00:57:47,200 --> 00:57:49,800 Speaker 1: the individual so much that we actually lie to ourselves 1008 00:57:49,840 --> 00:57:53,240 Speaker 1: about how things work. And I think that's also why 1009 00:57:53,360 --> 00:57:57,880 Speaker 1: like the NBA is sort of the ascendant sport is 1010 00:57:57,920 --> 00:58:01,520 Speaker 1: because it's the one sport where are an individual can 1011 00:58:01,520 --> 00:58:05,320 Speaker 1: actually like carry the team on their whereas like football 1012 00:58:05,440 --> 00:58:08,439 Speaker 1: is still you know, player one player won't be good 1013 00:58:08,520 --> 00:58:10,560 Speaker 1: like one year to the next, just depending on the 1014 00:58:10,560 --> 00:58:13,280 Speaker 1: scheme that they're working with them. Why do you guys 1015 00:58:13,320 --> 00:58:15,800 Speaker 1: think that? So I'm just you know, this is just 1016 00:58:16,000 --> 00:58:18,440 Speaker 1: us like editorializing and speculating. Now, Like why do you 1017 00:58:18,480 --> 00:58:22,880 Speaker 1: think that sense of the importance of individual freedoms persisted 1018 00:58:22,920 --> 00:58:25,600 Speaker 1: in America? Because I feel like the experiments that this 1019 00:58:25,720 --> 00:58:29,480 Speaker 1: country has, like i'll call them experiments with like more um, 1020 00:58:29,520 --> 00:58:33,120 Speaker 1: you know, social services type programs like social Security for example, 1021 00:58:33,200 --> 00:58:36,840 Speaker 1: and like Medicaid. It's like once they're in place, everybody's like, oh, 1022 00:58:36,960 --> 00:58:39,200 Speaker 1: these are good, and then like once you know, then 1023 00:58:39,240 --> 00:58:41,480 Speaker 1: when Republicans are trying to take them away, everybody's like, 1024 00:58:41,520 --> 00:58:44,680 Speaker 1: you can't do this. Why why are we still fighting 1025 00:58:44,720 --> 00:58:47,160 Speaker 1: against these type of things? Do you think or not? 1026 00:58:47,160 --> 00:58:50,320 Speaker 1: Not we asn't in this room, but you know, as culture, 1027 00:58:50,360 --> 00:58:55,160 Speaker 1: you're I mean, I think the fact that America is 1028 00:58:55,240 --> 00:58:58,680 Speaker 1: sort of the self fulfilling thing where we make the 1029 00:58:58,680 --> 00:59:01,360 Speaker 1: only culture that we pay attend and two and that 1030 00:59:01,440 --> 00:59:05,439 Speaker 1: culture will lie to you and tell you that that's 1031 00:59:05,440 --> 00:59:08,240 Speaker 1: how the world works. That it's like all individuals and 1032 00:59:08,320 --> 00:59:13,360 Speaker 1: like these sort of and it's just a very attractive 1033 00:59:13,760 --> 00:59:17,720 Speaker 1: way to look at things. It's it's just a fun, 1034 00:59:17,960 --> 00:59:20,840 Speaker 1: sort of wish fulfillment way of thinking about things. And 1035 00:59:20,880 --> 00:59:25,000 Speaker 1: like it's also the narratively best way to like tell 1036 00:59:25,040 --> 00:59:28,840 Speaker 1: a story is like with one individual hero, and that 1037 00:59:29,080 --> 00:59:32,720 Speaker 1: is sort of what America is all about. And it's 1038 00:59:32,760 --> 00:59:36,000 Speaker 1: interesting that it's gone past being like aspirational and more 1039 00:59:36,080 --> 00:59:37,320 Speaker 1: kind of like no, this is the way it is. 1040 00:59:37,360 --> 00:59:40,080 Speaker 1: If you just work hard enough, it's just you, right, 1041 00:59:40,520 --> 00:59:42,040 Speaker 1: And I think that's how you can they I think 1042 00:59:42,040 --> 00:59:44,440 Speaker 1: that's how some people can rationalize, like things like healthcare. 1043 00:59:44,560 --> 00:59:46,560 Speaker 1: It's like, well, it's it's all on you there. If 1044 00:59:46,560 --> 00:59:49,160 Speaker 1: there was a true sense of community, then there would 1045 00:59:49,200 --> 00:59:51,080 Speaker 1: be more of I think a feeling of responsibility on 1046 00:59:51,080 --> 00:59:53,080 Speaker 1: the on the part of politicians, like oh, let's take 1047 00:59:53,080 --> 00:59:56,400 Speaker 1: care of our people, like this is a community, right, Like, oh, well, 1048 00:59:56,440 --> 00:59:59,480 Speaker 1: I'm fine. Yeah. And the more the more wealth disparity 1049 00:59:59,520 --> 01:00:01,920 Speaker 1: that there is, like it's just getting worse because it's 1050 01:00:01,920 --> 01:00:05,479 Speaker 1: like you're further distancing yourself from other people and there's 1051 01:00:05,520 --> 01:00:08,160 Speaker 1: less and less empathy. Yeah, everything is just a mess. 1052 01:00:08,360 --> 01:00:18,880 Speaker 1: I think information. We're fucked. Yeah cool, well, yeah, happy Monday. 1053 01:00:18,560 --> 01:00:21,280 Speaker 1: Sorry to come on and be a bummer. No, no, 1054 01:00:21,440 --> 01:00:25,760 Speaker 1: but I think that's those are all really interesting reasons 1055 01:00:25,800 --> 01:00:31,520 Speaker 1: that we're fucked. Californians in particular, read about the Cascadia earthquake. 1056 01:00:31,760 --> 01:00:37,440 Speaker 1: That's uh, Northern Californians and Oregonians and Washingtonians should all 1057 01:00:37,480 --> 01:00:41,439 Speaker 1: read about the Cascadia earthquake. That is the really big 1058 01:00:41,480 --> 01:00:43,920 Speaker 1: one that's going to happen in the next hundred years 1059 01:00:44,240 --> 01:00:47,040 Speaker 1: in terms of earthquakes that we just kind of found 1060 01:00:47,080 --> 01:00:49,440 Speaker 1: out about in the last fifteen years, that is going 1061 01:00:49,520 --> 01:00:52,960 Speaker 1: to take out Portland. If Portland doesn't actually change how 1062 01:00:53,000 --> 01:00:56,800 Speaker 1: it's prepared, it's going to be insane. But yeah, nobody's 1063 01:00:56,840 --> 01:01:00,120 Speaker 1: preparing for it because it hasn't happened any right, but 1064 01:01:00,120 --> 01:01:03,960 Speaker 1: it's it's like and it's set up to be one 1065 01:01:03,960 --> 01:01:08,040 Speaker 1: of the most catastrophic earthquakes in report history. Yes, yeah, yeah. 1066 01:01:08,240 --> 01:01:11,560 Speaker 1: The last one that happened was like two fifty years 1067 01:01:11,560 --> 01:01:15,560 Speaker 1: ago when longer than that, when that part of the 1068 01:01:15,560 --> 01:01:19,520 Speaker 1: country wasn't settled, and there are legends about it and 1069 01:01:19,560 --> 01:01:22,840 Speaker 1: like their entire dead forests on this part of the world. 1070 01:01:22,920 --> 01:01:26,480 Speaker 1: And then over in Japan they had this thing called 1071 01:01:26,560 --> 01:01:29,400 Speaker 1: the ghost Wave because the tsunami came out of nowhere 1072 01:01:29,640 --> 01:01:33,600 Speaker 1: and like destroyed a bunch of places in Japan. And 1073 01:01:33,720 --> 01:01:37,080 Speaker 1: they only recently figured out that it was the earthquake 1074 01:01:37,240 --> 01:01:40,560 Speaker 1: off the coast of America that sent a tsunami all 1075 01:01:40,560 --> 01:01:43,080 Speaker 1: the way across the Pacific, that's how powerful it was. 1076 01:01:43,280 --> 01:01:47,479 Speaker 1: But yeah, it's basically set up to be really really 1077 01:01:47,520 --> 01:01:51,640 Speaker 1: bad for the Pacific Northwest if they don't, like there 1078 01:01:51,680 --> 01:01:56,080 Speaker 1: are schools in Oregon that are like within the tsunami 1079 01:01:56,880 --> 01:02:01,280 Speaker 1: zone that they just haven't like moved since figuring this out, 1080 01:02:01,400 --> 01:02:04,720 Speaker 1: because it's got a problem yet not a problem here 1081 01:02:04,720 --> 01:02:09,160 Speaker 1: now any waves. Yeah, yeah, you see a wave right 1082 01:02:09,160 --> 01:02:11,360 Speaker 1: now by the way they believe me, if there are waves, 1083 01:02:11,400 --> 01:02:16,520 Speaker 1: I'd be catching. So I monitor the Drudge Report, which 1084 01:02:16,600 --> 01:02:20,520 Speaker 1: is to say that like the report every day because 1085 01:02:20,560 --> 01:02:23,680 Speaker 1: it's just like just like this guy screaming at the 1086 01:02:23,720 --> 01:02:26,560 Speaker 1: top of his lungs about like you know, the news stories. 1087 01:02:26,960 --> 01:02:30,439 Speaker 1: But he has this consistent theme in his headlines where 1088 01:02:30,480 --> 01:02:33,240 Speaker 1: he will always point out any like cold snap that 1089 01:02:33,400 --> 01:02:37,280 Speaker 1: is happening, like it just it just snowed in California 1090 01:02:37,480 --> 01:02:39,800 Speaker 1: and he was like snow in winter and like showed 1091 01:02:39,840 --> 01:02:42,080 Speaker 1: a picture of uh, you know, it was up in 1092 01:02:42,280 --> 01:02:47,320 Speaker 1: the mountains of the Sierra Madre's and but like he 1093 01:02:47,480 --> 01:02:50,640 Speaker 1: just it's like his way of being like c global warming, 1094 01:02:51,560 --> 01:02:53,040 Speaker 1: but what does he do with stories? And it's like 1095 01:02:53,200 --> 01:02:57,600 Speaker 1: the hottest fucking summer ever, like he does not well, yeah, 1096 01:02:57,880 --> 01:03:00,040 Speaker 1: it's it's so it's so funny how like because the 1097 01:03:00,040 --> 01:03:03,720 Speaker 1: warming like became the buzzword, like that's what we said 1098 01:03:03,720 --> 01:03:06,200 Speaker 1: before we start, everybody started saying climate change and that 1099 01:03:06,200 --> 01:03:09,080 Speaker 1: that's like still such an argument for people that they're like, well, 1100 01:03:09,120 --> 01:03:11,720 Speaker 1: but like how do you explain when it gets cold? 1101 01:03:13,000 --> 01:03:15,960 Speaker 1: It's like, okay, we weren't using the best term to 1102 01:03:16,200 --> 01:03:19,600 Speaker 1: encompass all the different types of climate change warming sounds 1103 01:03:19,640 --> 01:03:24,840 Speaker 1: so gentle. It's a warm hug from the river. All Right, 1104 01:03:24,880 --> 01:03:28,280 Speaker 1: we're just about at a time. Allison, where can people 1105 01:03:28,320 --> 01:03:31,360 Speaker 1: find you? Um? You can find me on Twitter at 1106 01:03:31,440 --> 01:03:35,440 Speaker 1: Allison L. Sideman. That's one L and the Allison and 1107 01:03:35,640 --> 01:03:38,640 Speaker 1: the other ones in my middle name one sides in 1108 01:03:38,680 --> 01:03:42,520 Speaker 1: the Zeidman one s siman, yeah, z E I d 1109 01:03:43,680 --> 01:03:52,720 Speaker 1: R yeah cool before except except yeah cool. Well, thank 1110 01:03:52,720 --> 01:03:54,480 Speaker 1: you so much for joining us, Thank you guys for 1111 01:03:54,480 --> 01:04:00,560 Speaker 1: aving me. Come back U miles. Any where can people 1112 01:04:00,560 --> 01:04:06,720 Speaker 1: find you? North Hollywood? Good addresses, North Hollywood. That wasn't 1113 01:04:06,760 --> 01:04:10,040 Speaker 1: so too Holler at my mom. I'm not gonna gat 1114 01:04:10,040 --> 01:04:16,000 Speaker 1: out my address my mom. All Right, you can follow 1115 01:04:16,000 --> 01:04:19,959 Speaker 1: me a jack on your score O'Brien on Twitter, and yeah, 1116 01:04:20,160 --> 01:04:24,080 Speaker 1: I hope you have a good Monday. We'll be back tomorrow. 1117 01:04:24,120 --> 01:04:39,600 Speaker 1: I have a blessed Monday.