1 00:00:00,080 --> 00:00:02,840 Speaker 1: Hello the Internet, and welcome to Season three, Episode three 2 00:00:03,000 --> 00:00:07,120 Speaker 1: of The Daily Zey Guys for October seventeen. My name 3 00:00:07,200 --> 00:00:11,000 Speaker 1: is Jack O'Brien, a K. Potatoes O'Brien, a K Young, Jackfruit, 4 00:00:11,119 --> 00:00:13,600 Speaker 1: a k Obi Wan playing no D and I'm joined 5 00:00:13,600 --> 00:00:16,840 Speaker 1: by my co host, Mr Miles Gray. Yes, I'm not 6 00:00:17,000 --> 00:00:22,919 Speaker 1: sure how to say this. Uh anti antifata Okay, Yeah, 7 00:00:23,000 --> 00:00:25,479 Speaker 1: I just want to get that up. And we're thrilled 8 00:00:25,600 --> 00:00:30,040 Speaker 1: to be joined in our third seat by a legendary 9 00:00:30,200 --> 00:00:35,319 Speaker 1: stand up and comedy writer, Mr Dana Gould b HI 10 00:00:36,240 --> 00:00:44,000 Speaker 1: showrunners Straight against Old. That's not what that means. I 11 00:00:44,040 --> 00:00:46,120 Speaker 1: have to tell you, Dana, I am and I saved 12 00:00:46,120 --> 00:00:48,720 Speaker 1: this until we recorded. I you've written one of my 13 00:00:48,800 --> 00:00:52,880 Speaker 1: favorite tweets of all time. I always bring this up. Yes, 14 00:00:53,400 --> 00:00:57,520 Speaker 1: it's the one about fake news. No, the one about 15 00:00:57,680 --> 00:01:02,200 Speaker 1: if if lou garrit to Luke Gary's disease. Do you 16 00:01:02,200 --> 00:01:05,400 Speaker 1: remember that one? Yeah? And that doesn't bode well from 17 00:01:05,440 --> 00:01:12,320 Speaker 1: my friend terrible penis cancer one of my favorite. So 18 00:01:12,560 --> 00:01:15,840 Speaker 1: have you looked through your search history? Do you do 19 00:01:15,880 --> 00:01:19,200 Speaker 1: you have any searches that are particularly revealing about who 20 00:01:19,280 --> 00:01:22,920 Speaker 1: you are as a humanity. Most of my search histories 21 00:01:23,080 --> 00:01:30,520 Speaker 1: are minutia of obscure B, C and D actors and 22 00:01:30,520 --> 00:01:34,080 Speaker 1: actresses from the forties, fifties, and sixties. I have a 23 00:01:34,200 --> 00:01:38,000 Speaker 1: very sad weird I'm a member of a little email 24 00:01:38,120 --> 00:01:45,080 Speaker 1: click um that we just trade show business ephemera and 25 00:01:46,080 --> 00:01:51,800 Speaker 1: I need that little window two get away from the madness. Yeah, 26 00:01:51,840 --> 00:01:54,480 Speaker 1: I was dropping. I drove my daughter to school this morning, 27 00:01:54,520 --> 00:01:57,840 Speaker 1: and then while driving on Mulholland at at high speed, 28 00:01:57,880 --> 00:02:02,440 Speaker 1: I was also now uh and uh. You know, it's 29 00:02:02,440 --> 00:02:05,040 Speaker 1: just it's just enough to get you furious. Like if 30 00:02:05,040 --> 00:02:07,120 Speaker 1: you look at my tweets, they're angry in the morning, 31 00:02:07,160 --> 00:02:08,760 Speaker 1: and then there'll be a couple of jokes and then 32 00:02:09,000 --> 00:02:11,920 Speaker 1: and then the chill out and then some plugs. But 33 00:02:11,960 --> 00:02:16,800 Speaker 1: the first ones are always rage, because aren't the way 34 00:02:16,919 --> 00:02:21,600 Speaker 1: the news is written, reported and delivered now is to 35 00:02:21,720 --> 00:02:27,080 Speaker 1: manufacture rage because that provokes action, which causes clicks, which 36 00:02:27,160 --> 00:02:32,040 Speaker 1: gives news organizations a metric to charge advertising rates. It 37 00:02:32,120 --> 00:02:34,240 Speaker 1: all comes down to how much tide they can sell 38 00:02:34,280 --> 00:02:38,280 Speaker 1: you one day. MSNBC will make enough money that they 39 00:02:38,280 --> 00:02:41,600 Speaker 1: don't have to show prison documentaries all weekend, which is 40 00:02:41,639 --> 00:02:46,040 Speaker 1: how they pay their anchors. And this episode is brought 41 00:02:46,080 --> 00:02:49,680 Speaker 1: to you by tide alright expressed by Dana Gould are 42 00:02:49,840 --> 00:02:53,560 Speaker 1: solely his own and not of the Brighter Boulder colors. 43 00:02:53,919 --> 00:02:56,080 Speaker 1: I say that's the system working because I think that 44 00:02:56,160 --> 00:02:59,120 Speaker 1: it's very revealing about you that you search forties and 45 00:02:59,160 --> 00:03:02,640 Speaker 1: fifties f up around. Um. Yeah. The last thing I 46 00:03:02,680 --> 00:03:06,120 Speaker 1: discovered was the address that the address of the house 47 00:03:06,160 --> 00:03:09,000 Speaker 1: that Bella Legosi is killed in front of in plan 48 00:03:09,160 --> 00:03:17,960 Speaker 1: nine from outer space. That's can take you there. It 49 00:03:18,040 --> 00:03:21,680 Speaker 1: was Tor Johnson's house. Nothing good happens, is Somar as 50 00:03:21,680 --> 00:03:23,960 Speaker 1: someone who grew up in the valley. Yeah, can you 51 00:03:24,000 --> 00:03:27,440 Speaker 1: give us one overrated thing and one underrated thing? One 52 00:03:27,520 --> 00:03:34,200 Speaker 1: thing that I feel is um underrated? Alright, I'll go 53 00:03:34,280 --> 00:03:38,400 Speaker 1: I'll go big. I think that the the legislative branch 54 00:03:38,440 --> 00:03:40,760 Speaker 1: of our government is underrated, then the executive branch of 55 00:03:40,760 --> 00:03:43,440 Speaker 1: our government is overrated. All right? That is big. And 56 00:03:43,480 --> 00:03:45,280 Speaker 1: I'm not talking about people. I'm talking about the way 57 00:03:45,320 --> 00:03:51,280 Speaker 1: the system was designed but underutilized or underrated, but underrated 58 00:03:51,320 --> 00:03:54,520 Speaker 1: by us and by the people that inhabit it. You know, 59 00:03:54,720 --> 00:03:58,800 Speaker 1: we we built an imperial presidency because people like a 60 00:03:58,960 --> 00:04:03,840 Speaker 1: king or queen. But in our country so far just 61 00:04:04,040 --> 00:04:08,920 Speaker 1: King's and and see how great has worked out and uh, 62 00:04:09,120 --> 00:04:13,240 Speaker 1: when in fact, the founding fathers wanted us system where 63 00:04:13,560 --> 00:04:16,200 Speaker 1: you know, as as John McCain said, where the president's equal, 64 00:04:16,200 --> 00:04:19,000 Speaker 1: we're not his servant. Right. When you go back and 65 00:04:19,040 --> 00:04:22,560 Speaker 1: look at uh, you know, stories of like memoirs or 66 00:04:22,640 --> 00:04:25,039 Speaker 1: stories of like how companies came together, you see the 67 00:04:25,080 --> 00:04:28,359 Speaker 1: same thing where the CEO will get like all this 68 00:04:28,480 --> 00:04:32,159 Speaker 1: credit and like the public consciousness, but when you actually 69 00:04:32,200 --> 00:04:34,960 Speaker 1: dig down into the details, it's like this big group 70 00:04:35,080 --> 00:04:38,240 Speaker 1: coming together. Like but that's just how Americans like to 71 00:04:38,279 --> 00:04:41,360 Speaker 1: process stories. Is like the star. You have to have 72 00:04:41,440 --> 00:04:45,640 Speaker 1: the star. You need, you need you know people people 73 00:04:45,760 --> 00:04:52,279 Speaker 1: like stories in a very predictable way. And the story 74 00:04:52,279 --> 00:04:55,400 Speaker 1: of the Beatles breakup was that, you know, Paul McCartney 75 00:04:55,520 --> 00:04:58,320 Speaker 1: was this safe company man and John Lennon was an 76 00:04:58,400 --> 00:05:01,839 Speaker 1: artist and finally Oko oh No broke everybody up. But 77 00:05:01,920 --> 00:05:05,400 Speaker 1: now it was a much more complicated than that. Paul 78 00:05:05,440 --> 00:05:07,800 Speaker 1: McCartney was the growing up, John Lennon was kind of 79 00:05:07,800 --> 00:05:12,240 Speaker 1: a dick, and that's what happened. Yeah. There's a really 80 00:05:12,279 --> 00:05:16,280 Speaker 1: brilliant book called You Never Give Me Your Money, which 81 00:05:16,320 --> 00:05:21,480 Speaker 1: is a psychological, uh dissection of the beatles breakup as 82 00:05:21,520 --> 00:05:24,200 Speaker 1: if it was a marriage dissolving. And what you have 83 00:05:24,640 --> 00:05:28,120 Speaker 1: with John Lennon and Paul McCartney is two guys. It's 84 00:05:28,120 --> 00:05:30,599 Speaker 1: all individual psychology. It's the same with Trump, it's the 85 00:05:30,600 --> 00:05:32,840 Speaker 1: same with whoever. It's the same with music. It's all 86 00:05:32,920 --> 00:05:36,520 Speaker 1: the individual psychological makeup. John Lennon Paul McCartney two guys 87 00:05:36,560 --> 00:05:40,440 Speaker 1: whose mothers died when they were very young. They're bonded 88 00:05:40,440 --> 00:05:46,279 Speaker 1: over that. They became an incredibly codependent friends and they 89 00:05:46,360 --> 00:05:48,840 Speaker 1: couldn't leave each other until they had replaced each other. 90 00:05:49,520 --> 00:05:52,080 Speaker 1: It wasn't until John replaced Paul with Yoko and Paul 91 00:05:52,160 --> 00:05:55,760 Speaker 1: replaced John with Linda that they were finally able to 92 00:05:56,040 --> 00:05:59,040 Speaker 1: break up. But what what John did, what Paul didn't 93 00:05:59,040 --> 00:06:01,840 Speaker 1: really do, was he would say, Yoko, and I know 94 00:06:01,960 --> 00:06:04,560 Speaker 1: one person now with John and Yoko, and everyone like, 95 00:06:04,560 --> 00:06:07,440 Speaker 1: oh god, it's so romantic, because that fits with this 96 00:06:07,520 --> 00:06:11,000 Speaker 1: Western philosophy of like, you work and you work and 97 00:06:11,080 --> 00:06:13,160 Speaker 1: eventually you find your soul made and then you're happily 98 00:06:13,200 --> 00:06:15,080 Speaker 1: ever after and everything is great. But in fact, any 99 00:06:15,080 --> 00:06:19,159 Speaker 1: psychiatrist to tell you that's super unhealthy, terribly Yeah, it's 100 00:06:19,200 --> 00:06:23,320 Speaker 1: the definition of unhealthy, you know, that's not the point 101 00:06:23,520 --> 00:06:25,719 Speaker 1: at all. And we have you know, huge pops. I 102 00:06:25,720 --> 00:06:28,120 Speaker 1: can't live with living with without you. Well that's terrible. 103 00:06:28,200 --> 00:06:30,719 Speaker 1: That's you need one of my favorites. But you need help. 104 00:06:31,400 --> 00:06:34,240 Speaker 1: That's what you think you need mental health. Um, all right, 105 00:06:34,560 --> 00:06:37,400 Speaker 1: well we need to get into the events of the day. 106 00:06:37,440 --> 00:06:41,200 Speaker 1: But uh, that that is who went. I don't know 107 00:06:41,240 --> 00:06:45,560 Speaker 1: how we went to fascinating person who knows very interesting 108 00:06:45,600 --> 00:06:47,360 Speaker 1: things about a lot of stuff. I know a lot 109 00:06:47,400 --> 00:06:50,960 Speaker 1: about stuff that doesn't matter at all. I don't know. 110 00:06:51,120 --> 00:06:54,320 Speaker 1: The Beatles were pretty good tour. Johnson lived in Silmar people, 111 00:06:54,360 --> 00:06:59,000 Speaker 1: you're heard here. Uh So we're gonna get into the 112 00:06:59,080 --> 00:07:03,599 Speaker 1: stories for to day. Just at the top of the show. Uh, 113 00:07:03,839 --> 00:07:07,679 Speaker 1: I want to state our purpose. Basically, we talk about 114 00:07:07,720 --> 00:07:10,840 Speaker 1: politics and you know, the president and the news and 115 00:07:10,880 --> 00:07:13,040 Speaker 1: all that stuff, but we also talk about movies and 116 00:07:13,080 --> 00:07:17,280 Speaker 1: supermarket tabloids and uh bands breaking up because it's our 117 00:07:17,320 --> 00:07:22,080 Speaker 1: belief that those are sort of zeitgeist influencers. Like millions 118 00:07:22,120 --> 00:07:25,560 Speaker 1: of people past the tabloids every day, so they absorbed 119 00:07:25,560 --> 00:07:29,400 Speaker 1: those ideas on the cover whether they want to or not. Uh. 120 00:07:29,480 --> 00:07:34,800 Speaker 1: Celebrity culture is like our Greek myths. Movies are also 121 00:07:34,960 --> 00:07:37,600 Speaker 1: putting ideas in your head, whether you realize it or not. 122 00:07:37,720 --> 00:07:40,320 Speaker 1: So Uh, that's where we're coming from. That's what we 123 00:07:40,360 --> 00:07:42,400 Speaker 1: try and do in the body of our show. And 124 00:07:42,720 --> 00:07:46,640 Speaker 1: but upfront, we're gonna talk about a news story. Uh. 125 00:07:46,680 --> 00:07:51,080 Speaker 1: There's an article by the wonderful New York New Yorker 126 00:07:51,160 --> 00:07:55,440 Speaker 1: writer Jane Mayer uh called the Pents Delusion that just 127 00:07:55,520 --> 00:08:01,160 Speaker 1: came out. That's basically about who you know there there's 128 00:08:01,200 --> 00:08:04,280 Speaker 1: this belief that once we get Trump out of office, 129 00:08:05,000 --> 00:08:07,640 Speaker 1: if we get Trump out of office through impeachment or 130 00:08:07,720 --> 00:08:12,040 Speaker 1: because he's mentally unfit to do the job, then it's 131 00:08:12,640 --> 00:08:16,440 Speaker 1: you know, happy days once again. There there was a 132 00:08:16,520 --> 00:08:19,760 Speaker 1: BuzzFeed story on my news alerts that I got this 133 00:08:19,800 --> 00:08:24,680 Speaker 1: morning that half a dozen lawmakers have contacted uh a 134 00:08:24,880 --> 00:08:28,480 Speaker 1: psychiatry professor at Yale named Bandy Lee to talk about 135 00:08:28,480 --> 00:08:34,600 Speaker 1: the president's mental state and basically trying to identify how 136 00:08:34,640 --> 00:08:38,400 Speaker 1: they can possibly, you know, make a solid case that 137 00:08:38,520 --> 00:08:43,000 Speaker 1: he is unfit for the office. Uh. You know, Bannon 138 00:08:43,160 --> 00:08:46,440 Speaker 1: said the Amendment was the thing that Trump should be 139 00:08:46,440 --> 00:08:50,520 Speaker 1: worrying about, and Trump said, what's the amendment? Uh? But 140 00:08:51,240 --> 00:08:55,680 Speaker 1: you know that every everybody is focused, everybody who is 141 00:08:55,679 --> 00:08:57,920 Speaker 1: worried about Trump, is is focused on getting him out 142 00:08:57,920 --> 00:09:02,800 Speaker 1: of office. So what then, if in fact people are 143 00:09:02,840 --> 00:09:06,400 Speaker 1: able to get him out of office? Who is Mike Pence? 144 00:09:06,640 --> 00:09:09,920 Speaker 1: What what do we have coming to us? Um? I 145 00:09:10,520 --> 00:09:13,560 Speaker 1: heading into this article just had this idea that he 146 00:09:13,600 --> 00:09:17,080 Speaker 1: was sort of this uh, you know, right wing do 147 00:09:17,240 --> 00:09:22,200 Speaker 1: good er. Uh. I assumed he was good at his 148 00:09:22,320 --> 00:09:25,280 Speaker 1: job at being a right wing politician. I don't know what. 149 00:09:25,280 --> 00:09:28,760 Speaker 1: What were you guys impressions of Mike Pence. Well, he's uh, 150 00:09:28,840 --> 00:09:30,880 Speaker 1: he he loves the Coke Brothers. He loves the Coke 151 00:09:31,360 --> 00:09:35,000 Speaker 1: what I mean, like they they have definitely uh, they're 152 00:09:35,000 --> 00:09:36,880 Speaker 1: pulling the strings with with Mike Pence in a lot 153 00:09:36,920 --> 00:09:39,320 Speaker 1: of ways. But yeah, I think it's it's much more. 154 00:09:39,559 --> 00:09:41,880 Speaker 1: I think people don't realize just how dangerous Mike Pence 155 00:09:41,920 --> 00:09:46,120 Speaker 1: actually is, just with like his beliefs. Uh So, yeah, 156 00:09:46,200 --> 00:09:48,000 Speaker 1: I think it is a quite a big delusion. I 157 00:09:48,000 --> 00:09:50,959 Speaker 1: think again, it just speaks to how far we've come 158 00:09:51,080 --> 00:09:53,480 Speaker 1: or how low we've gone that we're now looking at 159 00:09:53,520 --> 00:09:55,640 Speaker 1: Mike penns and people think, thank that is going to 160 00:09:55,720 --> 00:09:58,440 Speaker 1: be some source of relief. Right. Well, that was the 161 00:09:58,480 --> 00:10:00,959 Speaker 1: thing with I done a little about Hm because a 162 00:10:01,000 --> 00:10:03,600 Speaker 1: lot of friends in Indiana, and I performed in Bloomington 163 00:10:03,640 --> 00:10:07,880 Speaker 1: a lot. He was loathed in Indiana. Basically sent a 164 00:10:07,920 --> 00:10:13,080 Speaker 1: woman to prison for having a miscarriage. Uh and uh, 165 00:10:13,280 --> 00:10:15,439 Speaker 1: he is sort of like to Trump with Spiro Agnew 166 00:10:15,480 --> 00:10:17,840 Speaker 1: was to Nixon, like the just the thing that kept 167 00:10:17,920 --> 00:10:20,319 Speaker 1: Richard Nixon from getting impeached was that Spiro Agnew was 168 00:10:20,360 --> 00:10:23,360 Speaker 1: the vice president. And then what happened with Spiro Agnew 169 00:10:23,360 --> 00:10:28,160 Speaker 1: who had to resign because of his own scandal and 170 00:10:28,400 --> 00:10:30,880 Speaker 1: was replaced by Jerry Ford. In the minute Jerry Ford 171 00:10:30,880 --> 00:10:33,080 Speaker 1: became the vice president, it was like, okay, here we go. 172 00:10:33,160 --> 00:10:36,640 Speaker 1: Start the clock. Yeah, and it's important to remember that, 173 00:10:37,360 --> 00:10:40,160 Speaker 1: you know, there's this miracle thirty seven percent of you know, 174 00:10:40,200 --> 00:10:44,400 Speaker 1: Trump could strangle a baby on television and approval rating. 175 00:10:45,800 --> 00:10:49,040 Speaker 1: The day Nixon resigned, he had a seven percent approval rating. 176 00:10:49,080 --> 00:10:51,679 Speaker 1: So you know, the dingdong factor has gone up by 177 00:10:51,679 --> 00:10:55,839 Speaker 1: ten percent um and it will never go below that 178 00:10:56,520 --> 00:11:02,160 Speaker 1: because they're not approving Trump there refused to admit they're wrong. Yeah, exactly, 179 00:11:02,240 --> 00:11:06,440 Speaker 1: and they're just moving of the mainstream media. They're basically saying, 180 00:11:07,440 --> 00:11:09,760 Speaker 1: is what you said, right? Yeah, and they will not 181 00:11:09,880 --> 00:11:12,920 Speaker 1: approve that they're wrong. There was an interesting just a 182 00:11:13,000 --> 00:11:17,439 Speaker 1: quick snapshot of that. Yesterday David Corn tweeted he was 183 00:11:17,440 --> 00:11:19,640 Speaker 1: in the airport and somebody said that, you know that 184 00:11:19,760 --> 00:11:23,080 Speaker 1: gold Star woman, it's a it's all bologny. Uh they 185 00:11:23,400 --> 00:11:24,800 Speaker 1: they and he goes, how do you know? He goes 186 00:11:24,840 --> 00:11:27,360 Speaker 1: because they published the tape on the internet. They go 187 00:11:27,679 --> 00:11:30,440 Speaker 1: show it to me. Guy, No, it's on the internet, 188 00:11:30,440 --> 00:11:33,040 Speaker 1: and goes and David Corn better all fifty bucks. That's 189 00:11:33,080 --> 00:11:37,120 Speaker 1: not guys, just walked away, right m hm. Do want 190 00:11:37,120 --> 00:11:40,120 Speaker 1: to believe right now? It's like, oh, well fuck this argument. Yeah, 191 00:11:40,760 --> 00:11:43,439 Speaker 1: just win by saying it exists, right, Yeah, it's the 192 00:11:43,760 --> 00:11:47,320 Speaker 1: you know, the it's very orwelly and that's sort of nice. 193 00:11:47,360 --> 00:11:50,280 Speaker 1: You know, I just made I'll create my own reality. 194 00:11:50,360 --> 00:11:53,640 Speaker 1: And yeah, that's great. That's a comfy place to live exists. 195 00:11:54,040 --> 00:11:56,160 Speaker 1: I mean, man, I get Mike Pence made Indiana a 196 00:11:56,200 --> 00:11:57,960 Speaker 1: great place for gun owners too. I mean, like a 197 00:11:57,960 --> 00:12:00,319 Speaker 1: lot of the guns that are going into Chicago coming 198 00:12:00,320 --> 00:12:02,360 Speaker 1: out of Indiana because you have to drive right across 199 00:12:02,360 --> 00:12:05,000 Speaker 1: the border and you can get whatever you want in 200 00:12:05,320 --> 00:12:08,840 Speaker 1: whatever quantity you want, just right there. So yeah, you know, 201 00:12:09,400 --> 00:12:11,440 Speaker 1: I mean it would be exciting to see his wife 202 00:12:11,480 --> 00:12:15,200 Speaker 1: become first lady mother. Yeah, I just I just want 203 00:12:15,240 --> 00:12:17,199 Speaker 1: that to become like a worldwide thing. So yeah, there's 204 00:12:17,200 --> 00:12:19,760 Speaker 1: a lot of interesting things about his upbringing he was raised. 205 00:12:19,880 --> 00:12:22,400 Speaker 1: Does she also have a girl girl photo gallery on 206 00:12:22,480 --> 00:12:26,439 Speaker 1: porn Hub or is that just our current first lady? Wait? 207 00:12:26,559 --> 00:12:30,200 Speaker 1: Is that true? Yeah? Wow, Um, don't act like you 208 00:12:30,240 --> 00:12:35,760 Speaker 1: don't know, Jack, I don't. Uh, well, I guess I 209 00:12:35,800 --> 00:12:38,400 Speaker 1: do that. It was in the New York Post the 210 00:12:38,520 --> 00:12:40,600 Speaker 1: day after Trump leaked it to the New York Post. 211 00:12:41,000 --> 00:12:43,319 Speaker 1: He was like, Hey, check this out. It's exactly right. 212 00:12:44,120 --> 00:12:48,360 Speaker 1: So the things I hadn't fully appreciated was how I 213 00:12:48,360 --> 00:12:54,120 Speaker 1: guess incompetent Pence was. He He was wildly unsuccessful politician 214 00:12:55,240 --> 00:12:59,880 Speaker 1: prior to being named VP. He was probably going to 215 00:13:00,000 --> 00:13:02,520 Speaker 1: get voted out of office. Oh no, he was getting 216 00:13:02,559 --> 00:13:06,760 Speaker 1: voted ye, like for sure. Um. So, when Pence was 217 00:13:06,800 --> 00:13:10,720 Speaker 1: being considered by Trump for the vice presidency, the big 218 00:13:10,840 --> 00:13:15,320 Speaker 1: hitch that Trump couldn't get past was that he learned 219 00:13:15,440 --> 00:13:18,640 Speaker 1: that Pence only had fifteen thousand dollars in his checking account, 220 00:13:18,760 --> 00:13:21,840 Speaker 1: Like that's all the money he had to his name. Uh, 221 00:13:21,920 --> 00:13:25,360 Speaker 1: because apparently he's like not not a very successful guy, 222 00:13:25,520 --> 00:13:29,439 Speaker 1: just like in general, um, and like Trump just didn't 223 00:13:29,440 --> 00:13:32,839 Speaker 1: think he could work with someone who was so poor. 224 00:13:33,320 --> 00:13:37,240 Speaker 1: I'm sure he is remedied that at this point, but 225 00:13:37,320 --> 00:13:39,200 Speaker 1: how how are you like that close to the Koch 226 00:13:39,280 --> 00:13:43,680 Speaker 1: brothers and have only managed to He's siphon off dollars 227 00:13:43,720 --> 00:13:45,520 Speaker 1: what his mother spending all that money on. I know 228 00:13:46,320 --> 00:13:48,640 Speaker 1: he's spending all his money on. You think he could 229 00:13:48,720 --> 00:13:55,360 Speaker 1: make money by signing autographs for Race Bannon at cartoon conventions, right, Um, 230 00:13:56,080 --> 00:14:00,640 Speaker 1: But the one thing he is is extremely motivated to 231 00:14:00,679 --> 00:14:04,920 Speaker 1: be president. Like That's the one thing. Everybody who had 232 00:14:04,920 --> 00:14:07,520 Speaker 1: worked with him in Indiana was like, I'm shocked that 233 00:14:07,600 --> 00:14:10,280 Speaker 1: he got this close because he wasn't very good at 234 00:14:10,320 --> 00:14:12,920 Speaker 1: his job and he's not a very competent or like 235 00:14:13,280 --> 00:14:18,200 Speaker 1: outwardly bright person. Uh. But uh, that they did know 236 00:14:18,320 --> 00:14:20,960 Speaker 1: that he wanted to be president, and in fact that 237 00:14:21,080 --> 00:14:24,840 Speaker 1: was his desperation to be president is probably what hurt him, 238 00:14:25,480 --> 00:14:29,400 Speaker 1: at least partially in Indiana because he was like bringing it, 239 00:14:29,480 --> 00:14:34,680 Speaker 1: signing in all these different, uh super far right wing 240 00:14:34,720 --> 00:14:38,200 Speaker 1: policies that weren't good for people locally, they were just 241 00:14:38,480 --> 00:14:42,040 Speaker 1: popular with the extreme right wing on the national stage. 242 00:14:42,080 --> 00:14:44,920 Speaker 1: But like he made it legal to discriminate against gay 243 00:14:44,960 --> 00:14:51,280 Speaker 1: people among Indiana businesses, and that started, you know, businesses 244 00:14:51,320 --> 00:14:54,360 Speaker 1: started moving out of Indiana and people were threatening to 245 00:14:54,800 --> 00:14:58,200 Speaker 1: pull like major conferences that brought in millions of dollars 246 00:14:58,200 --> 00:15:02,240 Speaker 1: of revenue. And uh, he didn't bother him. He had 247 00:15:02,280 --> 00:15:07,280 Speaker 1: his eyes on the prize exam with Scott Walker in Wisconsin, right, yeah, exactly. 248 00:15:07,480 --> 00:15:11,400 Speaker 1: So he is motivated to be president. That's basically how 249 00:15:11,440 --> 00:15:15,160 Speaker 1: he ended up where he is very very close to 250 00:15:15,400 --> 00:15:19,240 Speaker 1: the president's Well, you have to give him credit. He 251 00:15:19,240 --> 00:15:22,440 Speaker 1: he drew an inside straight because when he was announced 252 00:15:22,440 --> 00:15:24,520 Speaker 1: that Trump's running mate, I was like, oh wow, what 253 00:15:24,640 --> 00:15:28,480 Speaker 1: a terrible way to end your career, you know. And 254 00:15:28,480 --> 00:15:30,360 Speaker 1: and there was I remember somebody who wrote a really 255 00:15:30,360 --> 00:15:33,280 Speaker 1: funny story when we all arrogantly thought Hillary Clinton was 256 00:15:33,320 --> 00:15:36,560 Speaker 1: gonna win, Like it was a funny story that uh 257 00:15:36,880 --> 00:15:40,720 Speaker 1: Pence escapes Trump campaign bus and he's caught returned by 258 00:15:40,760 --> 00:15:48,080 Speaker 1: the police. You know, we're so right, Um and uh, 259 00:15:48,320 --> 00:15:52,160 Speaker 1: but I I actually think, uh, he's more of an 260 00:15:52,160 --> 00:15:56,840 Speaker 1: empty suit than Trump. Uh. You know, Trump is a malignant, 261 00:15:56,880 --> 00:16:00,280 Speaker 1: clinical narcissist by definition, and I think those are people 262 00:16:00,320 --> 00:16:04,880 Speaker 1: are inherently more danger than um. Just an empty suited 263 00:16:05,760 --> 00:16:11,720 Speaker 1: religious zealot, because I think his worst impulses could be checked. 264 00:16:12,040 --> 00:16:14,280 Speaker 1: And he is incompetent. And that's the thing that has 265 00:16:14,320 --> 00:16:16,880 Speaker 1: saved us all so far about Trump he is is 266 00:16:16,920 --> 00:16:19,720 Speaker 1: that he does not have the intelligence or the attention 267 00:16:19,760 --> 00:16:23,280 Speaker 1: span to actually enact a lot of his crazier ideas. One. 268 00:16:23,320 --> 00:16:27,200 Speaker 1: He doesn't believe in anything, and uh, and he's not 269 00:16:27,320 --> 00:16:31,400 Speaker 1: that bright. He's not that bright. He has great street 270 00:16:31,480 --> 00:16:34,080 Speaker 1: intelligence in terms of how to communicate to a specific 271 00:16:34,120 --> 00:16:37,880 Speaker 1: class of people, and he got he drew an in 272 00:16:38,200 --> 00:16:41,280 Speaker 1: as to repeat the analogy, he drew an inside straight 273 00:16:41,280 --> 00:16:43,720 Speaker 1: in the electoral college that will be very difficult to repeat. 274 00:16:43,880 --> 00:16:47,680 Speaker 1: A friend of mine who is a Republican political strategy 275 00:16:47,760 --> 00:16:50,280 Speaker 1: just it's he's a black swan, you know, It's just 276 00:16:50,720 --> 00:16:55,000 Speaker 1: one of these weird anomalies. It happens. Uh. But Pence 277 00:16:55,200 --> 00:16:59,320 Speaker 1: at least would be more competent and less sort of 278 00:16:59,440 --> 00:17:05,000 Speaker 1: volatile and just subject to the whims of his narcissism. Uh, 279 00:17:05,040 --> 00:17:08,199 Speaker 1: and maybe would be able to get more accomplished. You know. 280 00:17:08,320 --> 00:17:10,879 Speaker 1: I think I think Pence would end up being a 281 00:17:11,520 --> 00:17:17,680 Speaker 1: would be uh theocrat Uh and would be sort of 282 00:17:17,720 --> 00:17:21,399 Speaker 1: an analogy to Warren Harding, whereas Trump is more an 283 00:17:21,400 --> 00:17:28,520 Speaker 1: analogy to King George in the just completely barking, completely 284 00:17:28,600 --> 00:17:31,720 Speaker 1: barking mad and uh and that's becoming you know, it 285 00:17:31,800 --> 00:17:35,840 Speaker 1: is it is that just the only Republicans will speak 286 00:17:35,840 --> 00:17:38,439 Speaker 1: out against them are the ones that are agreeing to 287 00:17:38,480 --> 00:17:41,200 Speaker 1: no longer run. And it just it. I mean, this 288 00:17:41,280 --> 00:17:43,199 Speaker 1: is nothing new, This is the nature of politics. But 289 00:17:44,800 --> 00:17:48,840 Speaker 1: you know it's politicians only want one thing to get reelected, 290 00:17:49,119 --> 00:17:53,120 Speaker 1: and that's the job, right, and then when they give 291 00:17:53,200 --> 00:17:55,520 Speaker 1: that up, then they can actually go, oh, yeah, this 292 00:17:55,560 --> 00:17:58,360 Speaker 1: guy is awful. You're being governed by an awful guy 293 00:17:58,359 --> 00:18:00,399 Speaker 1: that I supported because I wanted to be liked it 294 00:18:00,400 --> 00:18:03,920 Speaker 1: because I don't fear death anymore because I'm yeah, yeah, 295 00:18:03,920 --> 00:18:06,320 Speaker 1: but again fun Mike Pence for president too, Like I 296 00:18:06,320 --> 00:18:09,159 Speaker 1: think again it shows just how low, like we were 297 00:18:09,160 --> 00:18:11,879 Speaker 1: talking about before, how bad things have gotten where we're 298 00:18:11,880 --> 00:18:14,080 Speaker 1: even looking at Mike pens and trying to rationalize like, oh, well, 299 00:18:14,119 --> 00:18:16,639 Speaker 1: maybe it won't be total hell. But I can just 300 00:18:16,680 --> 00:18:19,119 Speaker 1: say this if, if let's say, in in a in 301 00:18:19,200 --> 00:18:22,600 Speaker 1: a radical move, that the Amendment is enacted and Trump 302 00:18:22,840 --> 00:18:27,840 Speaker 1: is removed from office, which is supremely unlikely, the only 303 00:18:27,880 --> 00:18:31,280 Speaker 1: thing I can guarantee is that the Democrats would find 304 00:18:31,359 --> 00:18:36,560 Speaker 1: someone named micro Dick mcweakling to run against. All Right, 305 00:18:36,600 --> 00:18:39,080 Speaker 1: we're gonna go to break on that, and when we 306 00:18:39,119 --> 00:18:42,440 Speaker 1: come back, we're going to uh find out that Bill 307 00:18:42,480 --> 00:18:47,320 Speaker 1: O'Reilly is not a predator. It turns out he uh yeah, 308 00:18:47,359 --> 00:18:49,760 Speaker 1: he has thank you notes from two women, So it 309 00:18:49,760 --> 00:18:52,280 Speaker 1: turns out he's a good dude. We'll be right back, 310 00:19:01,280 --> 00:19:04,240 Speaker 1: and we're back, So we wanted to dive into there. 311 00:19:04,280 --> 00:19:08,320 Speaker 1: There's been some developments in the Bill O'Reilly story over 312 00:19:08,359 --> 00:19:10,560 Speaker 1: the past couple of days. Uh. The New York Times 313 00:19:10,600 --> 00:19:15,159 Speaker 1: over the weekend reported that he had reached a thirty 314 00:19:15,240 --> 00:19:21,119 Speaker 1: two million dollars settlement uh before he had resigned his 315 00:19:21,160 --> 00:19:26,520 Speaker 1: contract with Fox News because apparently he had done something 316 00:19:27,240 --> 00:19:32,160 Speaker 1: thirty two million dollars bad uh, because he apparently, uh 317 00:19:32,400 --> 00:19:35,879 Speaker 1: decided to settle for that amount. And I think it 318 00:19:35,960 --> 00:19:40,119 Speaker 1: was a matter of two days after after they told 319 00:19:40,200 --> 00:19:42,960 Speaker 1: him like what they had on him, he was like, yeah, yeah, sure, whatever, 320 00:19:43,080 --> 00:19:47,040 Speaker 1: just make it go a wet um. So uh, The 321 00:19:47,080 --> 00:19:52,040 Speaker 1: New York Times had a sit down with O'Reilly over 322 00:19:52,080 --> 00:19:56,919 Speaker 1: the weekend, um where they kind of went back and 323 00:19:56,960 --> 00:20:00,520 Speaker 1: forth with him and he explained, you know why he 324 00:20:00,640 --> 00:20:03,720 Speaker 1: wanted them to, you know, not report the story. And 325 00:20:03,720 --> 00:20:07,080 Speaker 1: where we've got audio of that meeting, I think surely 326 00:20:07,080 --> 00:20:15,560 Speaker 1: you understand that any kindly trial or court action is 327 00:20:15,640 --> 00:20:22,480 Speaker 1: going to bring horror to affairs person. Surely you understand it. 328 00:20:22,480 --> 00:20:24,840 Speaker 1: It's not going to be reported accurately. It's going to 329 00:20:24,920 --> 00:20:28,640 Speaker 1: be used. And I will go back to my children. 330 00:20:29,680 --> 00:20:37,680 Speaker 1: So when situations arose, we handled them as methodically and 331 00:20:37,840 --> 00:20:43,439 Speaker 1: as responsibly as we could without putting my children in 332 00:20:43,600 --> 00:20:49,639 Speaker 1: grave danger. I that's a good turn. Urge you to 333 00:20:49,720 --> 00:20:54,320 Speaker 1: think about what you put into a newspaper. Eric Bowling's 334 00:20:54,359 --> 00:21:01,680 Speaker 1: son is dead. He's dead because of allegations in my opinion, 335 00:21:01,720 --> 00:21:05,800 Speaker 1: and I know this to be true against Mr Paul 336 00:21:07,600 --> 00:21:12,440 Speaker 1: no game, no game. Guess uh so he made he made. 337 00:21:13,240 --> 00:21:15,080 Speaker 1: That's something you don't see a lot of. So that 338 00:21:15,200 --> 00:21:17,919 Speaker 1: was his man hiding behind his children. So that was 339 00:21:17,960 --> 00:21:20,919 Speaker 1: his argument the whole time was think about me, I 340 00:21:20,960 --> 00:21:24,520 Speaker 1: have children. Don't tell people how much of a creep 341 00:21:24,560 --> 00:21:26,639 Speaker 1: I am behind the scenes. When why has it? But 342 00:21:26,880 --> 00:21:28,840 Speaker 1: the old argument goes, well, why hasn't this happened with 343 00:21:28,880 --> 00:21:33,040 Speaker 1: Sean Hannity. Yeah, I don't know. Basically, the defense is 344 00:21:33,119 --> 00:21:36,680 Speaker 1: what about all the women I didn't harass, Right, that's 345 00:21:36,720 --> 00:21:38,560 Speaker 1: the Manson defense. You know, there's a lot of people 346 00:21:38,560 --> 00:21:41,320 Speaker 1: in l l A that I didn't murder. Um what 347 00:21:41,440 --> 00:21:44,159 Speaker 1: of them? So he he was asking them to think 348 00:21:44,200 --> 00:21:47,440 Speaker 1: about his kids and how damaging this would be to them, 349 00:21:47,600 --> 00:21:52,040 Speaker 1: and then he brought out they He brought out the 350 00:21:52,119 --> 00:21:56,639 Speaker 1: story of Eric Bowling, who was let go by Fox 351 00:21:56,720 --> 00:22:03,000 Speaker 1: News and whose son died of mysterious or undisclosed causes, 352 00:22:03,720 --> 00:22:07,720 Speaker 1: like basically the day that his uh departure from Fox 353 00:22:07,760 --> 00:22:10,800 Speaker 1: News was basically using the corpse of ed of bowling 354 00:22:10,960 --> 00:22:14,960 Speaker 1: son as a bat to keep reporters at bay, basically 355 00:22:15,920 --> 00:22:19,920 Speaker 1: brandishing the stiffened corpse of a child to keep reporters 356 00:22:19,920 --> 00:22:22,160 Speaker 1: at bay. And Eric Bowling even came out and said 357 00:22:22,520 --> 00:22:25,920 Speaker 1: that is wholly inappropriate, Like keep my son's name out 358 00:22:25,920 --> 00:22:29,040 Speaker 1: of your mouth, and then you're talking about and also said, uh, 359 00:22:29,240 --> 00:22:32,440 Speaker 1: you know, O'Reilly was like, I know this to be true. 360 00:22:33,119 --> 00:22:35,600 Speaker 1: Eric Bowling came out and was like, it had absolutely 361 00:22:35,600 --> 00:22:37,879 Speaker 1: nothing to do with my departure from Fox News, you 362 00:22:38,040 --> 00:22:43,840 Speaker 1: fucking asshole. Um. So O'Reilly has since, despite being so 363 00:22:43,920 --> 00:22:48,520 Speaker 1: confident that was the cause of Eric bowling Son's death. Uh, 364 00:22:48,600 --> 00:22:51,719 Speaker 1: he has since come out and apologized and you know, 365 00:22:52,040 --> 00:22:55,680 Speaker 1: walked that back. Uh. What the best The best thing though, 366 00:22:55,720 --> 00:22:58,560 Speaker 1: was after that he Bill Orelly goes on Twitter to 367 00:22:58,680 --> 00:23:01,159 Speaker 1: try and find a way to you know, vindicative, so 368 00:23:01,200 --> 00:23:03,159 Speaker 1: you know, to prove his innocence, and he tweeted, my 369 00:23:03,280 --> 00:23:06,280 Speaker 1: investigative team has done a superb job in exposing the 370 00:23:06,359 --> 00:23:09,120 Speaker 1: lies and smear. I will speak with you on Monday, 371 00:23:09,160 --> 00:23:11,359 Speaker 1: so essentially saying like, Hey, on Monday, I'm gonna have 372 00:23:11,440 --> 00:23:15,480 Speaker 1: some i m have some real hot documents. But so 373 00:23:15,760 --> 00:23:19,919 Speaker 1: we have the dramatic reveal of what the evidence was 374 00:23:19,960 --> 00:23:23,520 Speaker 1: that his investigative team. And now keep in mind he 375 00:23:23,600 --> 00:23:25,800 Speaker 1: is a very rich man, so he can pay for 376 00:23:25,880 --> 00:23:30,560 Speaker 1: an investigative team in Hawaii. Trump had in Hawaii, right, 377 00:23:30,720 --> 00:23:36,800 Speaker 1: So yeah, his investigative team supposedly put together this bombshell 378 00:23:37,119 --> 00:23:41,480 Speaker 1: that would prove that he isn't a sexual harasser. Uh, 379 00:23:41,520 --> 00:23:45,280 Speaker 1: And what they came up with was a handful of 380 00:23:45,280 --> 00:23:49,480 Speaker 1: thank you notes that women had sent him years before. Uh, 381 00:23:49,520 --> 00:23:54,480 Speaker 1: they made harassment allegations. So on the one hand, right, 382 00:23:54,600 --> 00:23:57,760 Speaker 1: so on the one hand, indicating he has a sexual harasser. 383 00:23:58,280 --> 00:24:01,439 Speaker 1: When the case was brought against him. He settled out 384 00:24:01,480 --> 00:24:05,000 Speaker 1: of court within days for thirty two million dollars. He 385 00:24:05,080 --> 00:24:08,879 Speaker 1: was like, please just make this allegation go away. So 386 00:24:08,920 --> 00:24:11,480 Speaker 1: that would seem to indicate some guilt. But on the 387 00:24:11,520 --> 00:24:14,639 Speaker 1: other hand, he has, uh, this evidence we're about to 388 00:24:14,680 --> 00:24:18,320 Speaker 1: hear that his investigative team put together that he reads 389 00:24:18,359 --> 00:24:21,119 Speaker 1: to us on the Glenn Beck Show. Actually, I think 390 00:24:21,160 --> 00:24:24,560 Speaker 1: we start out with Glenn Beck reading one of the 391 00:24:24,600 --> 00:24:29,120 Speaker 1: thank you notes. This one is from Gretchen Carlson light Bill. 392 00:24:29,119 --> 00:24:32,000 Speaker 1: Thank you for being the calm in the sea. Thank 393 00:24:32,040 --> 00:24:34,400 Speaker 1: you so much for supporting me. Thank you for being 394 00:24:34,440 --> 00:24:39,520 Speaker 1: my friend. It means the world to me. G C. Yeah. 395 00:24:39,880 --> 00:24:42,960 Speaker 1: So look, I think that anybody, any ceremony person, and 396 00:24:43,000 --> 00:24:47,840 Speaker 1: I really appreciate you reading those to your listeners. Um, 397 00:24:47,880 --> 00:24:50,359 Speaker 1: I think that they can now start to formulate a 398 00:24:50,400 --> 00:24:54,600 Speaker 1: picture here. So that was one of three thank you 399 00:24:54,640 --> 00:24:58,359 Speaker 1: notes that he read on the air. That are he 400 00:24:58,440 --> 00:25:01,440 Speaker 1: also read too from Meggat That was probably the strongest 401 00:25:01,800 --> 00:25:05,919 Speaker 1: one in in terms of it was actually uh, you know, 402 00:25:06,320 --> 00:25:12,880 Speaker 1: gretching Carlson saying, you know, thank you, right, being really 403 00:25:13,000 --> 00:25:17,240 Speaker 1: nice about him in a broadway Megan Kelly. Uh, he 404 00:25:17,240 --> 00:25:19,280 Speaker 1: he used to thank you notes from her that were 405 00:25:19,720 --> 00:25:23,159 Speaker 1: legitimately just like thank yous for like gifts, like he 406 00:25:23,440 --> 00:25:25,200 Speaker 1: shout out to you for coming to my baby showering 407 00:25:25,560 --> 00:25:28,280 Speaker 1: gift and also thanks for mentioning my husband's book, right, 408 00:25:28,640 --> 00:25:31,199 Speaker 1: so like thank you for very specific things. And he 409 00:25:31,280 --> 00:25:36,000 Speaker 1: was like, see it can't be uh se preditor, because 410 00:25:36,000 --> 00:25:37,960 Speaker 1: I have thank you notes from And then the third 411 00:25:37,960 --> 00:25:41,960 Speaker 1: piece was also the Affidavid that, uh, the who is 412 00:25:42,000 --> 00:25:45,920 Speaker 1: at least while who who the settlement was made with 413 00:25:46,640 --> 00:25:50,000 Speaker 1: h the signed Affidavid that basically just is the agreement 414 00:25:50,040 --> 00:25:52,600 Speaker 1: that she's signing for the settlement to say like I 415 00:25:52,600 --> 00:25:54,639 Speaker 1: will know I will no longer pursue damages in a 416 00:25:54,680 --> 00:25:57,120 Speaker 1: court of law that had And so he was also 417 00:25:57,240 --> 00:25:59,720 Speaker 1: using that somehow she wouldn't assigned that if he wasn't 418 00:25:59,720 --> 00:26:02,720 Speaker 1: like good guy who she would trust with A way 419 00:26:02,760 --> 00:26:05,560 Speaker 1: this children, this brain works. Apparently that's the that's the 420 00:26:05,560 --> 00:26:08,960 Speaker 1: way it is. Yeah. So yeah, I think the New 421 00:26:09,040 --> 00:26:14,080 Speaker 1: York Times has been thoroughly factored. Oh yeah, yeah, welcome, 422 00:26:14,200 --> 00:26:18,240 Speaker 1: welcome to the no spin zone. Yeah again, just I 423 00:26:18,280 --> 00:26:21,000 Speaker 1: mean I think just to read the thank you note, 424 00:26:21,119 --> 00:26:24,520 Speaker 1: it's it has nothing to do with him being a 425 00:26:24,560 --> 00:26:27,520 Speaker 1: good person. Also making Kelly herself complained to Fox News 426 00:26:27,640 --> 00:26:30,240 Speaker 1: about Bill O'Riley. So I don't think. I don't really 427 00:26:30,240 --> 00:26:33,239 Speaker 1: think that having her as your character witness really, you know, 428 00:26:33,359 --> 00:26:35,720 Speaker 1: proves anything. But it said, dear Bill, what a class 429 00:26:35,720 --> 00:26:37,520 Speaker 1: act you are. Thank you for coming to my baby shower. 430 00:26:37,520 --> 00:26:39,280 Speaker 1: I was truly touched. I know how busy you are, 431 00:26:39,359 --> 00:26:41,080 Speaker 1: especially at that time of the day, meant a lot 432 00:26:41,119 --> 00:26:42,560 Speaker 1: to me. And Doug, thank you for the darling body 433 00:26:42,640 --> 00:26:44,240 Speaker 1: suits and snuggly. It's hard to believe we'll soon have 434 00:26:44,240 --> 00:26:45,880 Speaker 1: a little human being in our lives that fit into 435 00:26:45,920 --> 00:26:48,560 Speaker 1: those You become a dear friend, no matter what they say, 436 00:26:48,640 --> 00:26:50,600 Speaker 1: and I'm grateful to have you in my life. I mean, 437 00:26:50,640 --> 00:26:53,200 Speaker 1: that's already. What do you mean, no matter what they say. 438 00:26:53,240 --> 00:26:58,480 Speaker 1: I mean. So it's a warm sounding note. But yeah, 439 00:26:58,600 --> 00:27:01,240 Speaker 1: there are a couple of things to keep in mind. 440 00:27:01,240 --> 00:27:03,639 Speaker 1: I mean, she wrote it in two thousand nine, seven 441 00:27:03,720 --> 00:27:09,080 Speaker 1: years before she made complaints about O'Reilly like quote intimidating 442 00:27:09,119 --> 00:27:14,199 Speaker 1: and harassing women, So clearly she doesn't still feel that way. Um, 443 00:27:14,280 --> 00:27:17,360 Speaker 1: she's also trying to build a career against all odds 444 00:27:18,000 --> 00:27:21,199 Speaker 1: at a company where women are treated like shit, and 445 00:27:21,240 --> 00:27:23,639 Speaker 1: he's like the most powerful guy at that company. It 446 00:27:23,680 --> 00:27:27,000 Speaker 1: took him took him so long to fire him. Uh. 447 00:27:27,040 --> 00:27:29,520 Speaker 1: And also he's trying to, like he said, he's trying 448 00:27:29,520 --> 00:27:31,640 Speaker 1: to paint a picture of himself as a guy who 449 00:27:31,680 --> 00:27:34,440 Speaker 1: women never complained about. And the best he can do 450 00:27:34,640 --> 00:27:37,240 Speaker 1: is a note that made reference to the fact that 451 00:27:37,320 --> 00:27:40,720 Speaker 1: people complain about him. She says, I don't care what 452 00:27:40,760 --> 00:27:43,399 Speaker 1: they say about you. That's that's never a good thing 453 00:27:43,400 --> 00:27:45,040 Speaker 1: when that's the best you can come up with. Yeah, 454 00:27:45,040 --> 00:27:46,800 Speaker 1: And I think clearly it just speaks to like how 455 00:27:47,040 --> 00:27:50,000 Speaker 1: sort of tone deaf and delusional he is to not 456 00:27:50,080 --> 00:27:52,199 Speaker 1: even see that, Like, well, why don't you write me 457 00:27:52,240 --> 00:27:54,760 Speaker 1: this letter? That's thanking me if I were such a 458 00:27:54,760 --> 00:27:57,040 Speaker 1: bad guy like you have? No, there's no he can't 459 00:27:57,040 --> 00:28:00,600 Speaker 1: even acknowledge the power structure of this relationship. I mean, 460 00:28:00,640 --> 00:28:03,040 Speaker 1: but that he also pointed out that like one of 461 00:28:03,080 --> 00:28:05,480 Speaker 1: them did smile at him one time, so I mean, 462 00:28:05,720 --> 00:28:09,439 Speaker 1: clearly he's he's a good guy. They wouldn't have smiled. Deal, Like, 463 00:28:09,440 --> 00:28:12,040 Speaker 1: why can't he just go into a dark corner and 464 00:28:12,080 --> 00:28:17,080 Speaker 1: just be done with it, Because that's because the narcissism 465 00:28:17,359 --> 00:28:21,840 Speaker 1: and the egomania that is required to become that person 466 00:28:22,040 --> 00:28:26,439 Speaker 1: that you know, that that sense of self almost you know, 467 00:28:26,920 --> 00:28:32,240 Speaker 1: the the erotic charge that his self love emanates is 468 00:28:32,280 --> 00:28:35,520 Speaker 1: what draw people to him, you know. And you know, 469 00:28:35,960 --> 00:28:43,120 Speaker 1: sociopaths have very high self esteem and that's translated as charisma. 470 00:28:43,720 --> 00:28:46,760 Speaker 1: And uh and you can't if he had the ability 471 00:28:46,880 --> 00:28:49,360 Speaker 1: to shut that off, he wouldn't have become Bill O'Reilly. 472 00:28:49,440 --> 00:28:51,400 Speaker 1: That was what they said about Richard Nixon, you know 473 00:28:51,520 --> 00:28:53,920 Speaker 1: that they I believe it was Henry cause knows. Leon 474 00:28:54,040 --> 00:28:57,680 Speaker 1: Ed Bresnev said that the thing about Richard Nixon is, um, 475 00:28:57,800 --> 00:29:00,880 Speaker 1: imagine what this man could have accomplished had someone loved him. 476 00:29:02,120 --> 00:29:05,280 Speaker 1: But and then I'm not sure who responded, but it goes, yes, 477 00:29:05,320 --> 00:29:08,400 Speaker 1: but but then he would have never been president. M 478 00:29:09,400 --> 00:29:12,000 Speaker 1: uh and I think that's true. You know, you can't 479 00:29:12,120 --> 00:29:16,120 Speaker 1: just this. Why are why are many comedians depressed? Because 480 00:29:16,120 --> 00:29:17,920 Speaker 1: the same brain that makes the good stuff makes the 481 00:29:17,920 --> 00:29:21,840 Speaker 1: bad stuff, make very creative good stuff and very creative. 482 00:29:22,840 --> 00:29:24,440 Speaker 1: So he was in the you know, he's a he's 483 00:29:24,440 --> 00:29:27,440 Speaker 1: an old he's in seventies. It's a different generation. That's 484 00:29:27,440 --> 00:29:29,480 Speaker 1: a you know, he just lives in a different world. 485 00:29:29,920 --> 00:29:33,320 Speaker 1: And I'm sure he believes everything he's saying, right, Yeah, no, 486 00:29:33,560 --> 00:29:36,080 Speaker 1: And he must, especially if he's saying stuff like you know, 487 00:29:36,160 --> 00:29:38,920 Speaker 1: bringing up his children, hiding behind that, or saying that 488 00:29:38,960 --> 00:29:41,480 Speaker 1: he blames God. Yeah, he said he's mad at God 489 00:29:42,040 --> 00:29:44,200 Speaker 1: in the past couple of days. Yeah, and twenty years, 490 00:29:44,200 --> 00:29:47,520 Speaker 1: we're going to find Bill O'Reilly on a shrimping boat 491 00:29:47,920 --> 00:29:50,640 Speaker 1: up in the crow's nest, just shouting at God, like 492 00:29:50,720 --> 00:29:55,160 Speaker 1: Lieutenant Dan the Deep, Lieutenant Dan Cut. You never actually 493 00:29:55,200 --> 00:29:57,800 Speaker 1: said so, but I think he made peace with God. 494 00:29:58,640 --> 00:29:59,920 Speaker 1: I mean that's how you know when you've run out 495 00:29:59,920 --> 00:30:01,880 Speaker 1: of people are playing right, you know, we're like, oh, 496 00:30:02,000 --> 00:30:05,480 Speaker 1: funk God. Yeah, he sucked me over, not me, I'm 497 00:30:05,480 --> 00:30:08,800 Speaker 1: not a predator. In the New York Times podcast, this 498 00:30:08,920 --> 00:30:12,960 Speaker 1: is from the podcast The Daily Uh They, the reporter 499 00:30:13,600 --> 00:30:18,040 Speaker 1: who has been reporting on him, speculated that she thought 500 00:30:18,120 --> 00:30:21,880 Speaker 1: that the like huge dollar figure, the thirty two million dollars, 501 00:30:21,920 --> 00:30:26,920 Speaker 1: came so quickly because in the sexual harassment allegations, he 502 00:30:27,040 --> 00:30:32,520 Speaker 1: had sent gay porn to the woman and he thought that, uh, 503 00:30:32,560 --> 00:30:36,320 Speaker 1: you know, having gay porn close to his brand would 504 00:30:36,320 --> 00:30:41,440 Speaker 1: be like really damaging. Uh So that's another another reason 505 00:30:41,440 --> 00:30:44,320 Speaker 1: why he might be you know, it was a dude, 506 00:30:44,400 --> 00:30:47,440 Speaker 1: dude or chick chick. I think chicken. That's what we're 507 00:30:47,440 --> 00:30:49,840 Speaker 1: trying to That's what we're trying to figure out, because 508 00:30:50,440 --> 00:30:57,080 Speaker 1: there's nothing, there's nothing less gay. That's two women, therefore 509 00:30:57,560 --> 00:31:01,440 Speaker 1: double the straightness exactly where couldn't agree more? All Right? 510 00:31:01,480 --> 00:31:04,440 Speaker 1: So I want to move on to UH. Something that 511 00:31:05,240 --> 00:31:10,720 Speaker 1: is coming up. Apple is dropping the iPhone x iPhone 512 00:31:10,760 --> 00:31:15,520 Speaker 1: ten on US UH in the next couple of months, 513 00:31:15,960 --> 00:31:19,120 Speaker 1: and I believe October that goes on pre sale. Why 514 00:31:19,160 --> 00:31:21,200 Speaker 1: do I know this? I have a thirteen year old 515 00:31:21,280 --> 00:31:25,480 Speaker 1: daughter and she's demanding the it is her life, is 516 00:31:25,520 --> 00:31:29,800 Speaker 1: her life? Yeah, she texted me this morning the pre 517 00:31:30,000 --> 00:31:32,160 Speaker 1: sign up for it. It's like, this is the one 518 00:31:32,200 --> 00:31:35,400 Speaker 1: that get this one. So what One of the features 519 00:31:35,440 --> 00:31:38,560 Speaker 1: that is getting talked about a lot is that there 520 00:31:38,800 --> 00:31:43,280 Speaker 1: is this new facial recognition feature on the iPhone where 521 00:31:43,840 --> 00:31:48,600 Speaker 1: it will be able to unlock itself just by you 522 00:31:48,800 --> 00:31:52,080 Speaker 1: looking at it essentially, UM. And this is a new 523 00:31:52,120 --> 00:31:55,840 Speaker 1: technology that's been coming down the pipe for a while. UH. 524 00:31:55,880 --> 00:32:01,280 Speaker 1: And China has actually been perfect it on their end 525 00:32:01,360 --> 00:32:06,080 Speaker 1: because because they are China, they're able to have a 526 00:32:06,760 --> 00:32:11,040 Speaker 1: h They're able to have a database of every one 527 00:32:11,080 --> 00:32:15,920 Speaker 1: of their over a billion citizens faces UH in a 528 00:32:16,000 --> 00:32:21,400 Speaker 1: database and by analyzing that many faces, like sort of algorithmically, 529 00:32:21,440 --> 00:32:26,440 Speaker 1: they're able to actually sort of perfect the technology. Um 530 00:32:26,480 --> 00:32:29,840 Speaker 1: basically in theory, it's it's pretty creepy because unlike other 531 00:32:30,040 --> 00:32:33,280 Speaker 1: biometric systems, it's like a fingerprint, but a fingerprint that 532 00:32:33,320 --> 00:32:35,480 Speaker 1: you wear on your face. So, like, I mean, one 533 00:32:35,480 --> 00:32:39,000 Speaker 1: thing that's being brought up is that cops, while your handcuffed, 534 00:32:39,040 --> 00:32:43,400 Speaker 1: could just use your face to open your iPhone and 535 00:32:43,920 --> 00:32:46,480 Speaker 1: you know, get access to whatever they need access to 536 00:32:48,360 --> 00:32:53,000 Speaker 1: if you've done nothing wrong exactly nothing asked the West 537 00:32:53,000 --> 00:32:57,120 Speaker 1: Memphis three. So some of the other things. It's already 538 00:32:57,120 --> 00:33:01,000 Speaker 1: being used by police without people's permission and in America 539 00:33:01,040 --> 00:33:05,680 Speaker 1: and with little oversight the FBI, uh not the police, 540 00:33:05,920 --> 00:33:09,480 Speaker 1: do you believe it? The FBI maintains something called the 541 00:33:09,520 --> 00:33:15,240 Speaker 1: Next Generation Identification Interstate Photo System, which is a database 542 00:33:15,320 --> 00:33:19,080 Speaker 1: containing photos of people accused or convicted of civil and 543 00:33:19,080 --> 00:33:24,680 Speaker 1: criminal proceedings. Except the American Government Accountability Office audited that 544 00:33:24,880 --> 00:33:28,440 Speaker 1: system and found that the database has four and twelve 545 00:33:28,440 --> 00:33:32,480 Speaker 1: million photos and it includes people who were never the 546 00:33:32,560 --> 00:33:36,280 Speaker 1: target of any investigation. They just have people's faces. They're 547 00:33:36,320 --> 00:33:40,080 Speaker 1: just scanning people's faces and like from wherever, you know, 548 00:33:40,560 --> 00:33:43,840 Speaker 1: uh at a concert. So in order to prove how 549 00:33:43,960 --> 00:33:48,280 Speaker 1: dangerous uh, this facial recognition technology can be. Uh, these 550 00:33:48,280 --> 00:33:53,680 Speaker 1: two Stanford researchers took thirty five thousand pictures of self 551 00:33:53,720 --> 00:33:57,200 Speaker 1: identified like gay and straight people from a dating website, 552 00:33:57,240 --> 00:34:00,840 Speaker 1: just the pictures that they uploaded themselves, and fed it 553 00:34:00,920 --> 00:34:05,640 Speaker 1: through an algorithm, and we're able to tell they were 554 00:34:05,640 --> 00:34:09,640 Speaker 1: able to distinguish between gay and heterosexual men eighty one 555 00:34:09,680 --> 00:34:13,000 Speaker 1: percent of the time and gay and heterosexual women seventy 556 00:34:13,040 --> 00:34:15,920 Speaker 1: one percent of the time. Uh, you know, which is 557 00:34:15,960 --> 00:34:19,760 Speaker 1: way better than you know humans can do using our 558 00:34:20,280 --> 00:34:23,479 Speaker 1: gay dar. Uh. And you know, the computer was able 559 00:34:23,520 --> 00:34:26,560 Speaker 1: to tell this just based on just like photos, the 560 00:34:26,640 --> 00:34:28,759 Speaker 1: photos of their face, based on the type of porn 561 00:34:28,760 --> 00:34:33,240 Speaker 1: bill O'Reilly right, right exactly. Uh. And so the idea 562 00:34:33,280 --> 00:34:37,280 Speaker 1: is like that would be a really damaging tool to 563 00:34:37,400 --> 00:34:40,279 Speaker 1: have in the hands of you know, Mike Pence, Mike 564 00:34:40,320 --> 00:34:44,800 Speaker 1: Pence or yeah, a government that has had Mike Pences 565 00:34:44,960 --> 00:34:49,040 Speaker 1: in charge of its policy for many decades and you know, 566 00:34:49,040 --> 00:34:53,239 Speaker 1: where homosexuality is illegal, that that could be really damaging. 567 00:34:53,360 --> 00:34:55,719 Speaker 1: I mean, that's are like these systems are flawed, right, 568 00:34:55,719 --> 00:34:59,160 Speaker 1: because they're already gonna have the biases of the people 569 00:34:59,160 --> 00:35:02,200 Speaker 1: who the developer as who program the AI or the algorithms, 570 00:35:02,480 --> 00:35:07,080 Speaker 1: like even with that facial gay or straight AI, like 571 00:35:07,200 --> 00:35:09,680 Speaker 1: the the pictures they used to show that someone was 572 00:35:09,760 --> 00:35:12,319 Speaker 1: quote unquote gay were like once they took off, like 573 00:35:12,520 --> 00:35:16,320 Speaker 1: Tinder or sites like where it wasn't these these weren't 574 00:35:16,320 --> 00:35:18,600 Speaker 1: just like photos of like someone's driver's line and someone 575 00:35:18,600 --> 00:35:20,520 Speaker 1: who had entified as a homosexual. It would. They were 576 00:35:20,560 --> 00:35:23,279 Speaker 1: like pictures from like pride events and certain things like 577 00:35:23,320 --> 00:35:25,520 Speaker 1: that and like nightlife. So it was already I think 578 00:35:25,520 --> 00:35:28,000 Speaker 1: they were facial shots that were used on dating sites 579 00:35:28,239 --> 00:35:31,279 Speaker 1: so that they could like specifically identify like what your 580 00:35:31,280 --> 00:35:34,160 Speaker 1: sexual preference was, right, And but even then that's a 581 00:35:34,280 --> 00:35:39,239 Speaker 1: very specific subset people who are single looking to attract 582 00:35:39,239 --> 00:35:41,799 Speaker 1: a mate or whatever. That's not so again, even then, 583 00:35:42,280 --> 00:35:44,880 Speaker 1: you know, it's it starts this slippery slope of like 584 00:35:45,000 --> 00:35:48,560 Speaker 1: the new physiognomy of you know, after that, then they're 585 00:35:48,560 --> 00:35:50,160 Speaker 1: going to be able to say, like, oh, let's put 586 00:35:50,200 --> 00:35:53,560 Speaker 1: all you know, the minorities through this thing and determine 587 00:35:53,600 --> 00:35:56,720 Speaker 1: who's a criminal. And they've tried that before, and it's 588 00:35:57,160 --> 00:36:01,320 Speaker 1: very deeply flawed. Right, that's just general really a concern 589 00:36:01,800 --> 00:36:06,640 Speaker 1: about this technology is that, uh, if you have you know, 590 00:36:07,239 --> 00:36:11,200 Speaker 1: white men at the controls of the AI, then you're 591 00:36:11,320 --> 00:36:15,680 Speaker 1: going to inherently get their biases because they're controlling you know, 592 00:36:16,000 --> 00:36:19,759 Speaker 1: what data is getting input into the algorithms in the 593 00:36:19,760 --> 00:36:25,120 Speaker 1: first place. Um. Yeah, so it's fucking terrifying something to 594 00:36:25,200 --> 00:36:27,120 Speaker 1: keep an eye on. I guess your news is this 595 00:36:27,280 --> 00:36:29,879 Speaker 1: same technology is giving you the app that will tell 596 00:36:29,920 --> 00:36:34,359 Speaker 1: you your height in pancakes. Very right, So so it's 597 00:36:34,360 --> 00:36:40,279 Speaker 1: gonna have some fun applications to uh awesome. Well, Dan, 598 00:36:40,400 --> 00:36:42,520 Speaker 1: I think that's all the time we have you for, 599 00:36:42,960 --> 00:36:45,839 Speaker 1: but thank you so much for for joining us. We're 600 00:36:45,840 --> 00:36:49,160 Speaker 1: gonna come back after this break and talk to our 601 00:36:49,200 --> 00:36:53,240 Speaker 1: guest Taylor or Tega. Um, but I have a terrible 602 00:36:53,239 --> 00:36:58,719 Speaker 1: confession to make. What's that I'm Taylor taking? I knew it. 603 00:36:58,760 --> 00:37:03,400 Speaker 1: I told you so. Danny. You have a season two 604 00:37:03,800 --> 00:37:05,880 Speaker 1: of Staying Against Evil coming up on i f C 605 00:37:06,080 --> 00:37:09,480 Speaker 1: on November one. Season two on November one. Season one 606 00:37:09,520 --> 00:37:12,399 Speaker 1: is on Hulu now. Alright, and if you're not sick 607 00:37:12,440 --> 00:37:14,799 Speaker 1: in my voice yet, why not pick up my album 608 00:37:15,000 --> 00:37:17,719 Speaker 1: Mr funny Man. You can buy it with your telephone 609 00:37:18,480 --> 00:37:22,319 Speaker 1: debut at number one. It is a hit, folks. Uh, 610 00:37:23,560 --> 00:37:26,600 Speaker 1: having an album out is so much more elegant sounding 611 00:37:26,640 --> 00:37:32,760 Speaker 1: than my download dropped exactly. The new album is out now, Yeah, 612 00:37:33,040 --> 00:37:36,240 Speaker 1: that's one of those things. It's like girlfriend, the woman 613 00:37:36,280 --> 00:37:40,240 Speaker 1: I spend time with is a woman, but woman friend 614 00:37:40,320 --> 00:37:42,600 Speaker 1: sounds like somebody Grandpa has to bring to dinner with 615 00:37:42,680 --> 00:37:47,080 Speaker 1: him in case the machinery breaks down. Grandpa's coming, but 616 00:37:47,120 --> 00:37:50,640 Speaker 1: he's bringing his woman friend. Actually eat in the kitchen though, 617 00:37:51,520 --> 00:37:53,520 Speaker 1: but keep your eye on ers. She steals all the 618 00:37:53,560 --> 00:37:55,600 Speaker 1: food has to go through that tube because he can't 619 00:37:55,680 --> 00:38:00,480 Speaker 1: keep anything down. God. People should also listen to the 620 00:38:00,560 --> 00:38:05,360 Speaker 1: Dana Gold podcast, which is hilarious. All right, uh, and 621 00:38:05,560 --> 00:38:17,560 Speaker 1: we'll be right back. And we're back and thrilled to 622 00:38:17,640 --> 00:38:23,880 Speaker 1: be joined by our special correspondent, New York correspondent I 623 00:38:23,960 --> 00:38:27,719 Speaker 1: don't know Taylor or Tega. Hey, Taylor, Hello, Hi, how 624 00:38:27,760 --> 00:38:30,200 Speaker 1: are you? I am in New York and I'm good. 625 00:38:30,320 --> 00:38:34,240 Speaker 1: Thanks for having me. Hey, We're thrilled to have you. Uh. So, 626 00:38:34,600 --> 00:38:38,479 Speaker 1: we wanted to talk to you about TV titles that 627 00:38:38,480 --> 00:38:40,719 Speaker 1: that's what you pitched us, and we said yes to 628 00:38:41,480 --> 00:38:45,080 Speaker 1: a little behind the scenes for people. That's how that works. Yeah, 629 00:38:45,080 --> 00:38:48,560 Speaker 1: that's how it works. I was it. I was actually 630 00:38:48,600 --> 00:38:51,040 Speaker 1: at a party last week and I didn't know anyone there, 631 00:38:51,840 --> 00:38:53,960 Speaker 1: and I met a guy and I was like, what 632 00:38:54,000 --> 00:38:56,600 Speaker 1: do you do? And I can't tell you what he 633 00:38:56,640 --> 00:38:59,360 Speaker 1: did because I can't remember the show he works on, 634 00:38:59,680 --> 00:39:02,520 Speaker 1: because as it started with the Good and then there 635 00:39:02,560 --> 00:39:06,239 Speaker 1: was a third word in the title, and he was like, oh, 636 00:39:06,280 --> 00:39:08,200 Speaker 1: I worked for the Good blank. And I was like, oh, 637 00:39:08,320 --> 00:39:11,319 Speaker 1: not the good Wife or the good Fight, or the 638 00:39:11,360 --> 00:39:15,440 Speaker 1: good doctor, or the good cop or the good place. Um. 639 00:39:15,560 --> 00:39:18,280 Speaker 1: He was like, no, that's the hilarious joke that everyone 640 00:39:18,560 --> 00:39:21,760 Speaker 1: says about my job. And so I wanted to figure 641 00:39:21,800 --> 00:39:25,000 Speaker 1: out why that's the only title people use for shows anymore. 642 00:39:26,320 --> 00:39:31,480 Speaker 1: And I started by looking to see the years they're 643 00:39:31,560 --> 00:39:35,520 Speaker 1: on the air, the networks, they're on their producers and 644 00:39:35,520 --> 00:39:39,160 Speaker 1: they're like writers and creators and there's no overlap, which 645 00:39:39,160 --> 00:39:42,920 Speaker 1: is the most frustrating thing in the world. Um So, 646 00:39:43,040 --> 00:39:44,439 Speaker 1: do you know, do you have an idea? Like, how 647 00:39:44,480 --> 00:39:46,719 Speaker 1: many shows with that kind of name are we talking 648 00:39:46,760 --> 00:39:49,920 Speaker 1: about here? Um? The uh so, it started with The 649 00:39:49,960 --> 00:39:51,920 Speaker 1: Good Wife in two thousand nine and that was on 650 00:39:51,960 --> 00:39:55,280 Speaker 1: the air and has a spin off. So their creators, 651 00:39:55,280 --> 00:39:57,560 Speaker 1: their producers, all that the network is CBS. That's all 652 00:39:57,600 --> 00:39:59,239 Speaker 1: the same as The Good Wife, and then The Good 653 00:39:59,320 --> 00:40:02,400 Speaker 1: Fight because every like, give Christie Branski her own TV show, please, 654 00:40:02,719 --> 00:40:06,399 Speaker 1: and America was like, yes, do it, and they did, 655 00:40:06,880 --> 00:40:10,000 Speaker 1: and so that makes sense. But then from this year, 656 00:40:11,080 --> 00:40:13,560 Speaker 1: three more the Goods have popped up, The Good Place, 657 00:40:13,760 --> 00:40:16,000 Speaker 1: which is in its second season, The Good Doctor, which 658 00:40:16,000 --> 00:40:17,759 Speaker 1: is in its first, and The Good Cop, which hasn't 659 00:40:17,760 --> 00:40:21,200 Speaker 1: even premiered yet, but a little uh, a little bit 660 00:40:21,239 --> 00:40:25,200 Speaker 1: about it online as this show will start Tony Danza 661 00:40:25,239 --> 00:40:29,320 Speaker 1: as a quote disgraced former NYPD officer who never followed 662 00:40:29,360 --> 00:40:32,239 Speaker 1: the rules, which I'm excited for. That seems like a 663 00:40:32,280 --> 00:40:36,480 Speaker 1: show that exists, like a show inside a TV show 664 00:40:36,640 --> 00:40:41,120 Speaker 1: that they'd be like, yeah, it's Tony Danza as a cop. Yeah, 665 00:40:41,120 --> 00:40:43,600 Speaker 1: I thy're gonna say he was a disgraced former child actor. 666 00:40:44,200 --> 00:40:49,000 Speaker 1: But I assumed those were all spinoffs of one another. 667 00:40:49,080 --> 00:40:51,279 Speaker 1: So you're telling me The Good Place does not take 668 00:40:51,320 --> 00:40:54,200 Speaker 1: place in the same universe as The Good Wife. No, 669 00:40:54,600 --> 00:40:59,919 Speaker 1: The Good Wife is a CBS. Uh, political drama. That's 670 00:41:00,000 --> 00:41:02,960 Speaker 1: not even that just I guess last year went off 671 00:41:02,960 --> 00:41:05,319 Speaker 1: the year I mean, do we think it could just 672 00:41:05,440 --> 00:41:12,160 Speaker 1: be the bankrupt creativity of the TV industry. I used 673 00:41:12,160 --> 00:41:16,759 Speaker 1: to I worked at ABC News, and the way that 674 00:41:16,920 --> 00:41:20,560 Speaker 1: they like picked shots is they knew that their executive 675 00:41:20,600 --> 00:41:24,759 Speaker 1: producer liked really cliche shots from movies, and so they 676 00:41:24,760 --> 00:41:27,919 Speaker 1: would like have they would always get what no matter 677 00:41:27,960 --> 00:41:31,000 Speaker 1: what the story is, they would get an establishing shot 678 00:41:31,080 --> 00:41:34,160 Speaker 1: of like the moon coming out from behind clouds, just 679 00:41:34,239 --> 00:41:37,400 Speaker 1: because like they knew that the executive producer liked that. 680 00:41:37,840 --> 00:41:41,640 Speaker 1: And like I've I've noticed that since that TV shows 681 00:41:41,680 --> 00:41:45,680 Speaker 1: are really sort of redundant and derivative of one another, 682 00:41:45,800 --> 00:41:49,480 Speaker 1: Like it's just it's basically your job is to find 683 00:41:49,520 --> 00:41:52,560 Speaker 1: other stuff that works and then just replicate that. Yeah, 684 00:41:52,560 --> 00:41:55,640 Speaker 1: they're all variations on a theme. Yeah, and even though 685 00:41:55,680 --> 00:41:57,680 Speaker 1: these shows are all different, I do feel like there's 686 00:41:57,719 --> 00:42:01,560 Speaker 1: some safety in keeping the name of the show super vague, 687 00:42:01,719 --> 00:42:06,840 Speaker 1: so that it's so appealing that it almost means like 688 00:42:06,880 --> 00:42:09,960 Speaker 1: it means nothing, so it has almost the capability to 689 00:42:10,000 --> 00:42:13,560 Speaker 1: appeal to every single person. The good Place is as 690 00:42:13,640 --> 00:42:16,920 Speaker 1: generic phrase as you could possibly get. That's like it 691 00:42:16,960 --> 00:42:19,920 Speaker 1: could be called the nice Show, right. I was noticing 692 00:42:20,040 --> 00:42:24,880 Speaker 1: back when the Cracked podcast started, there was this online 693 00:42:24,960 --> 00:42:28,239 Speaker 1: college called Lisa, and I was like, well, that's weird 694 00:42:28,280 --> 00:42:31,000 Speaker 1: that it's called Lisa, like is it named after it's 695 00:42:31,480 --> 00:42:34,799 Speaker 1: uh founder? And no, there was no information on why 696 00:42:34,840 --> 00:42:37,120 Speaker 1: it was called Lisa. It went out of business and 697 00:42:37,160 --> 00:42:44,680 Speaker 1: then almost immediately afterwards, a a mattress company launched called 698 00:42:44,760 --> 00:42:48,719 Speaker 1: Lisa Mattresses and they spelled it differently, but they were 699 00:42:48,719 --> 00:42:53,040 Speaker 1: both advertising on podcasts, and I I just have to 700 00:42:53,120 --> 00:42:56,920 Speaker 1: assume that there is like some market research firm that 701 00:42:57,040 --> 00:43:01,279 Speaker 1: is out there like telling these companies the two syllables 702 00:43:01,560 --> 00:43:05,800 Speaker 1: lee and sug like make people want to buy things, 703 00:43:06,040 --> 00:43:10,319 Speaker 1: so like do that or you know, But presumably it's 704 00:43:10,360 --> 00:43:14,360 Speaker 1: the same firm that's saying like, people here the good 705 00:43:15,200 --> 00:43:20,040 Speaker 1: blank like insert down and UH want to learn more 706 00:43:20,080 --> 00:43:23,640 Speaker 1: about that thing or watch TV or whatever there is. Actually, 707 00:43:23,920 --> 00:43:25,960 Speaker 1: when I was trying to come up with the name 708 00:43:26,080 --> 00:43:30,120 Speaker 1: for this show, which was like a three week nightmare 709 00:43:30,120 --> 00:43:36,160 Speaker 1: of a process, um, I found this firm that apparently 710 00:43:36,239 --> 00:43:39,279 Speaker 1: has named all different things like that is their job. 711 00:43:39,320 --> 00:43:42,319 Speaker 1: As they named things. They named BlackBerry, they named the 712 00:43:42,400 --> 00:43:48,680 Speaker 1: Subaru out back, the Apple power book, fabriz uh pay pass, 713 00:43:48,719 --> 00:43:52,240 Speaker 1: so like they just come up with like really simple 714 00:43:53,000 --> 00:43:55,600 Speaker 1: names that like they're really good at coming up with 715 00:43:55,640 --> 00:43:58,319 Speaker 1: those names. And I guess if you're not good at 716 00:43:58,480 --> 00:44:02,279 Speaker 1: coming up with names, you end up doing something that's 717 00:44:02,320 --> 00:44:05,520 Speaker 1: somewhat derivative. So I don't know that it's necessary how 718 00:44:05,640 --> 00:44:08,520 Speaker 1: well it's working, but based on like how well the 719 00:44:08,560 --> 00:44:11,520 Speaker 1: Good Doctor has done it have to assume super well, 720 00:44:11,680 --> 00:44:15,279 Speaker 1: Like this tactic of Bagary is like I don't know 721 00:44:15,560 --> 00:44:18,680 Speaker 1: doing it. Yeah, there hasn't been a flap yet. The 722 00:44:18,719 --> 00:44:22,279 Speaker 1: Good Places in its second season. Uh, and it's a 723 00:44:22,920 --> 00:44:25,800 Speaker 1: one of the first NBC sit comes in a while 724 00:44:25,920 --> 00:44:30,080 Speaker 1: to get a second season. Um, have people tried just 725 00:44:30,320 --> 00:44:34,880 Speaker 1: the better doctor? Right? I feel that's the better I 726 00:44:34,920 --> 00:44:37,160 Speaker 1: thought about that too, but then that's when I started 727 00:44:37,200 --> 00:44:39,440 Speaker 1: getting like diving deep into like okay, but like what 728 00:44:39,520 --> 00:44:42,160 Speaker 1: does good mean? Um? And I was like, oh, so 729 00:44:42,200 --> 00:44:45,320 Speaker 1: they're just like exceptional, it's just like an exceptional doctor. 730 00:44:45,400 --> 00:44:52,680 Speaker 1: But no, he's not. He's just good. Like right, he's 731 00:44:52,719 --> 00:44:54,880 Speaker 1: a good doctor. I guess. I mean, I think we 732 00:44:54,920 --> 00:44:57,000 Speaker 1: can just chalk this up to this is one of 733 00:44:57,040 --> 00:45:01,960 Speaker 1: the great Hollywood mysteries that has no explanation, Like why 734 00:45:02,120 --> 00:45:05,600 Speaker 1: all James Camera movies start with t or a other 735 00:45:05,680 --> 00:45:10,600 Speaker 1: than him being a pervert. Uh, And why Bruce Willis 736 00:45:11,000 --> 00:45:14,520 Speaker 1: on every movie poster has his head cocked exactly fifteen 737 00:45:14,560 --> 00:45:17,319 Speaker 1: degrees to the side. It's really weird. If you look 738 00:45:17,320 --> 00:45:19,400 Speaker 1: at all his posters like next to each other. He 739 00:45:19,520 --> 00:45:26,280 Speaker 1: just one picture that he just sends. Right, There's probably 740 00:45:26,280 --> 00:45:29,920 Speaker 1: just one secret, like brilliant firm behind all of this 741 00:45:30,120 --> 00:45:34,080 Speaker 1: and they just are phoning it in the entire year 742 00:45:34,080 --> 00:45:37,840 Speaker 1: of County seventeen and I cannot blame them. Awesome, Taylor, 743 00:45:38,600 --> 00:45:43,160 Speaker 1: thank you so much for your investigative report into TV titles. Uh. 744 00:45:43,360 --> 00:45:46,120 Speaker 1: Where can people follow you? Hike? Follow me on Twitter 745 00:45:46,200 --> 00:45:51,680 Speaker 1: at Taylor Underscore Ortiga awesome. Uh, And Miles where can 746 00:45:51,719 --> 00:45:55,040 Speaker 1: people follow you? Oh? You can follow me on Twitter 747 00:45:55,080 --> 00:45:58,040 Speaker 1: and Instagram at Miles of Gray. You can follow me 748 00:45:58,080 --> 00:46:01,239 Speaker 1: at Jack Underscore O b r I. And you can 749 00:46:01,280 --> 00:46:05,560 Speaker 1: follow us at Daily Zeitgeist on Twitter at the Daily 750 00:46:05,600 --> 00:46:11,439 Speaker 1: Zeitgeist on Instagram, on Facebook the Daily Zeitgeist. And yeah, 751 00:46:11,480 --> 00:46:15,000 Speaker 1: we'll be back tomorrow with more podcast because we are 752 00:46:15,000 --> 00:46:36,880 Speaker 1: a daily show. Thanks guys. M