1 00:00:02,800 --> 00:00:07,240 Speaker 1: Hey, they're both seating cats and dogs, So execute the baby. 2 00:00:07,520 --> 00:00:10,880 Speaker 1: Israel not gonna be around in two years, and transgender 3 00:00:10,960 --> 00:00:14,440 Speaker 1: surgeries on illegal immigrants in prison. And we are barely 4 00:00:14,520 --> 00:00:19,640 Speaker 1: now scratching the surface of the first and maybe only 5 00:00:19,880 --> 00:00:24,200 Speaker 1: presidential debate between Vice President Kamala Harris and former President 6 00:00:24,360 --> 00:00:28,479 Speaker 1: Donald Trump. Welcome to this episode of Amy and TJ. Robes. 7 00:00:28,520 --> 00:00:32,120 Speaker 1: You still have it up. The headline you just saw? 8 00:00:32,320 --> 00:00:34,839 Speaker 1: Was it the hill? You just told me the headline 9 00:00:34,880 --> 00:00:38,240 Speaker 1: they already have. As we're kind of summing up here 10 00:00:38,400 --> 00:00:42,640 Speaker 1: what we just witnessed, you said they were kind of harsh. Yes, 11 00:00:42,720 --> 00:00:45,400 Speaker 1: this might be the way, it might be the consensus, 12 00:00:45,440 --> 00:00:46,920 Speaker 1: but they were the first to say it out. 13 00:00:47,120 --> 00:00:50,879 Speaker 2: Just questioning whether or not Trump could have done himself 14 00:00:50,880 --> 00:00:54,600 Speaker 2: in in the same way Biden did with his performance 15 00:00:54,720 --> 00:00:58,320 Speaker 2: at tonight's debate, and it was a head scratcher. I 16 00:00:58,360 --> 00:01:03,840 Speaker 2: think for a lot of people watch. I've never said 17 00:01:03,280 --> 00:01:09,959 Speaker 2: what is he talking about? More than I've ever asked 18 00:01:10,000 --> 00:01:13,839 Speaker 2: myself when watching a debate. It just it went into 19 00:01:13,920 --> 00:01:19,399 Speaker 2: so many different bizarre and unexpected places that it did 20 00:01:19,520 --> 00:01:21,800 Speaker 2: leave me perplexed, and I think a lot of people 21 00:01:21,880 --> 00:01:28,120 Speaker 2: watching were also confused. In moments by what was actually happening. 22 00:01:28,319 --> 00:01:30,720 Speaker 1: Well, obviously you weren't alone, because, like I said, we 23 00:01:30,920 --> 00:01:34,120 Speaker 1: noticed one of the top trending topics, I think number 24 00:01:34,160 --> 00:01:36,560 Speaker 1: one or number two all night was what is he 25 00:01:36,640 --> 00:01:40,440 Speaker 1: talking about? Donald Trump had a bad night? And I 26 00:01:40,480 --> 00:01:43,959 Speaker 1: think it's not just us saying that. It seems to 27 00:01:44,000 --> 00:01:47,080 Speaker 1: be and we keep several screens up and it's the consensus. 28 00:01:47,120 --> 00:01:50,720 Speaker 1: And when we see Fox News lead with he had 29 00:01:50,760 --> 00:01:54,840 Speaker 1: a bad night, off night, missed opportunities. She was strong. 30 00:01:55,200 --> 00:01:58,680 Speaker 1: When they're saying that, then you know what kind of 31 00:01:58,760 --> 00:02:01,600 Speaker 1: night it was, and she did what she had to 32 00:02:01,600 --> 00:02:04,320 Speaker 1: do tonight. I mean it's hard to it was almost 33 00:02:04,320 --> 00:02:06,280 Speaker 1: like she was beating up on the guy. Were used 34 00:02:06,280 --> 00:02:07,720 Speaker 1: to seeing beat up on people, right. 35 00:02:07,760 --> 00:02:10,680 Speaker 2: I think you know the thing I've seen come out 36 00:02:10,720 --> 00:02:13,320 Speaker 2: about Kamala was, you know, some people liked it and 37 00:02:13,400 --> 00:02:15,760 Speaker 2: some people felt distracted by it, and some people were 38 00:02:15,760 --> 00:02:18,720 Speaker 2: concerned it could come off as condescending. But we always 39 00:02:18,760 --> 00:02:24,000 Speaker 2: look at how the other presidential candidate is looking or 40 00:02:24,040 --> 00:02:26,440 Speaker 2: reacting to Because the mics were turned off when the 41 00:02:26,520 --> 00:02:30,280 Speaker 2: other was speaking, but she also looked confused, and from 42 00:02:30,320 --> 00:02:33,120 Speaker 2: what I just said, that might have been a fair 43 00:02:33,160 --> 00:02:35,120 Speaker 2: reaction to some of the things he was saying, but 44 00:02:35,240 --> 00:02:37,000 Speaker 2: she was smiling a lot and looking a lot. So 45 00:02:37,200 --> 00:02:41,080 Speaker 2: there have been memes already made all across the internet, 46 00:02:41,120 --> 00:02:44,640 Speaker 2: and I'm sure throughout the day of her confusion or 47 00:02:45,080 --> 00:02:47,360 Speaker 2: I'm sorry, sir, what are you saying? So the memes 48 00:02:47,360 --> 00:02:49,720 Speaker 2: are abound. That's one of the big headlines coming from 49 00:02:49,760 --> 00:02:51,040 Speaker 2: her in reaction to Trump. 50 00:02:51,680 --> 00:02:53,959 Speaker 1: But she was feeling what we were all here. 51 00:02:53,760 --> 00:02:56,399 Speaker 2: Correct, correct, So it was a shared experience, I think 52 00:02:56,400 --> 00:03:00,680 Speaker 2: for a lot of folks. And then the other commentary 53 00:03:01,400 --> 00:03:03,520 Speaker 2: and Fox News, we did watch some of what they 54 00:03:03,560 --> 00:03:06,280 Speaker 2: had to say was and this isn't surprising at all, 55 00:03:06,320 --> 00:03:11,560 Speaker 2: but they did go on the offense against ABC News, 56 00:03:11,560 --> 00:03:15,960 Speaker 2: saying that there was not enough follow ups. Kamala was 57 00:03:16,000 --> 00:03:20,640 Speaker 2: asked about her flip flopping on several issues. She didn't 58 00:03:20,840 --> 00:03:25,240 Speaker 2: answer or at least explain her switch and position, and 59 00:03:25,400 --> 00:03:27,360 Speaker 2: ABC didn't hold her accountable. So there was a lot 60 00:03:27,360 --> 00:03:30,240 Speaker 2: of finger pointing in that direction that they were holding 61 00:03:30,280 --> 00:03:33,600 Speaker 2: Trump accountable and they were harsh with him, but weren't 62 00:03:34,080 --> 00:03:35,960 Speaker 2: giving Kamala Harris the same treatment. 63 00:03:36,080 --> 00:03:40,320 Speaker 1: Well, that's that is true. That is undeniable, and we 64 00:03:40,360 --> 00:03:43,880 Speaker 1: maybe need to hit on that because we well more 65 00:03:43,920 --> 00:03:49,520 Speaker 1: than most hogues have insight and know the two moderators, yes, 66 00:03:50,440 --> 00:03:52,360 Speaker 1: who have been longtime friends of ours, so we can 67 00:03:52,400 --> 00:03:54,400 Speaker 1: give some insight into that. But let's go back and 68 00:03:54,480 --> 00:03:56,880 Speaker 1: ask you actually before I get to go back to 69 00:03:56,920 --> 00:03:58,680 Speaker 1: the top and just them coming out. Yeah, you just 70 00:03:58,760 --> 00:04:01,240 Speaker 1: mentioned that you saw some reaction and some people are 71 00:04:01,280 --> 00:04:04,760 Speaker 1: taking issue with her mannerisms or how she was speaking 72 00:04:04,800 --> 00:04:05,440 Speaker 1: to him. What was it? 73 00:04:05,640 --> 00:04:07,200 Speaker 2: No, it was just the memes, like you know, her 74 00:04:07,240 --> 00:04:11,680 Speaker 2: facial expressions when he was talking. They're there, are they're everywhere, 75 00:04:12,080 --> 00:04:14,920 Speaker 2: and there a lot of them are positive, they're they're 76 00:04:14,960 --> 00:04:18,600 Speaker 2: they're commiserating where they're saying. This is what I This 77 00:04:18,640 --> 00:04:20,640 Speaker 2: is what my teacher looked at me when I told her, 78 00:04:20,839 --> 00:04:22,919 Speaker 2: you know what happened to my homework last night. You know, 79 00:04:23,279 --> 00:04:26,800 Speaker 2: So it's it wasn't negative towards her, just reacting to 80 00:04:26,839 --> 00:04:28,960 Speaker 2: her reaction throughout the debate. 81 00:04:29,400 --> 00:04:32,440 Speaker 1: The folks are so savvy these days, and everybody has 82 00:04:32,480 --> 00:04:35,880 Speaker 1: someone on their staff these days that's under twenty three 83 00:04:35,960 --> 00:04:38,719 Speaker 1: years old just to I know what's going on online. 84 00:04:38,880 --> 00:04:41,599 Speaker 1: I wonder she knew exactly what she was doing, and 85 00:04:41,680 --> 00:04:45,080 Speaker 1: she had been told and been coached to do this thing. 86 00:04:45,160 --> 00:04:48,839 Speaker 1: When he starts rambling to where when you feel like 87 00:04:48,920 --> 00:04:51,919 Speaker 1: you don't understand what he's saying, the country also is 88 00:04:51,960 --> 00:04:54,760 Speaker 1: looking at him, and just do and you you start 89 00:04:55,080 --> 00:04:57,400 Speaker 1: something like that that goes that kind of viral and 90 00:04:57,440 --> 00:05:00,599 Speaker 1: gets people talking that stuff might be a fact these days. 91 00:05:00,760 --> 00:05:04,480 Speaker 2: To your point, the Harris team had asked that the 92 00:05:04,520 --> 00:05:07,000 Speaker 2: microphones not be turned off, that there could be a 93 00:05:07,040 --> 00:05:09,560 Speaker 2: real debate, that there could be interruptions and people could 94 00:05:09,640 --> 00:05:14,320 Speaker 2: see how each candidate was reacting to the other. Well, 95 00:05:14,400 --> 00:05:16,919 Speaker 2: that she lost that the rules were in place that 96 00:05:17,279 --> 00:05:21,360 Speaker 2: she wouldn't be able to talk or react to him verbally. 97 00:05:21,920 --> 00:05:26,479 Speaker 2: So she kind of nailed it visually her you know, 98 00:05:26,520 --> 00:05:28,400 Speaker 2: she didn't have to say anything. She was saying it 99 00:05:28,400 --> 00:05:30,080 Speaker 2: with her face, she was saying it with her eyes. 100 00:05:30,520 --> 00:05:33,840 Speaker 2: And in a way, those pictures, those lasting images, are 101 00:05:33,880 --> 00:05:36,320 Speaker 2: being spread across the internet. In a way, perhaps if 102 00:05:36,360 --> 00:05:38,880 Speaker 2: she were able to have said what she was thinking, 103 00:05:38,920 --> 00:05:40,280 Speaker 2: it wouldn't have had the same impact. 104 00:05:41,680 --> 00:05:45,359 Speaker 1: I don't there were times I almost felt like I 105 00:05:45,520 --> 00:05:49,640 Speaker 1: was saying, oh, come on, VP, Harris, give him a break, 106 00:05:50,080 --> 00:05:52,480 Speaker 1: like to the point it was almost like a knockout, 107 00:05:52,640 --> 00:05:54,920 Speaker 1: like he's like there was a TKO at some point 108 00:05:55,000 --> 00:05:56,920 Speaker 1: I said it to you. Are we watching? I really 109 00:05:57,000 --> 00:05:59,600 Speaker 1: want this to end. I just this needs to stop. 110 00:05:59,839 --> 00:06:03,599 Speaker 1: You felt almost sorry for him, the way you felt 111 00:06:03,600 --> 00:06:07,120 Speaker 1: sorry for Joe Biden. And it's a different way, like 112 00:06:08,000 --> 00:06:10,480 Speaker 1: she gave him a look that my sister I'm used 113 00:06:10,480 --> 00:06:14,120 Speaker 1: to her saying sometimes just bless his heart, like she 114 00:06:14,279 --> 00:06:18,200 Speaker 1: it was almost just I feel bad. He's rambling. He 115 00:06:18,360 --> 00:06:21,640 Speaker 1: was all over the place, and there's some stuff about 116 00:06:21,720 --> 00:06:26,000 Speaker 1: him we're used to seeing. He was just he fell 117 00:06:26,080 --> 00:06:29,040 Speaker 1: for everything she baited him into. 118 00:06:29,279 --> 00:06:31,640 Speaker 2: He took the bait, and he then and then he went, 119 00:06:31,720 --> 00:06:34,159 Speaker 2: and he went so much further with it. For me, 120 00:06:34,360 --> 00:06:39,320 Speaker 2: I have to say, initially, I felt like Kamala Harris 121 00:06:39,600 --> 00:06:44,200 Speaker 2: was leading a little bit too much with emotion, too 122 00:06:44,279 --> 00:06:47,600 Speaker 2: much of a deliberate attempt to pull on the heartstrings 123 00:06:48,000 --> 00:06:50,359 Speaker 2: of America at times, and that was I was thinking, 124 00:06:50,400 --> 00:06:52,839 Speaker 2: oh no, please don't go there, Please don't do that. 125 00:06:53,560 --> 00:06:57,200 Speaker 2: And Trump actually seemed very measured and very much in control, 126 00:06:57,279 --> 00:06:59,680 Speaker 2: and so I thought, Okay, here we go. This is 127 00:06:59,680 --> 00:07:05,080 Speaker 2: going to be interesting. And pretty quickly for me, Trump 128 00:07:05,080 --> 00:07:07,279 Speaker 2: went off the rails when he started talking about Haitian 129 00:07:07,320 --> 00:07:11,480 Speaker 2: immigrants in Springfield, Ohio, stealing and eating dogs and cats 130 00:07:11,520 --> 00:07:13,160 Speaker 2: and other pets, and and. 131 00:07:13,320 --> 00:07:14,000 Speaker 1: It was that long. 132 00:07:16,000 --> 00:07:19,440 Speaker 2: He completely lost me. At that point, I actually was like, 133 00:07:19,560 --> 00:07:22,400 Speaker 2: am I what am I hearing right now? And what 134 00:07:22,480 --> 00:07:25,560 Speaker 2: am I listening to? And how was this a presidential debate? 135 00:07:25,680 --> 00:07:28,320 Speaker 2: And but it went from bad to worse like that 136 00:07:28,480 --> 00:07:31,680 Speaker 2: was where for me, like it just completely started to unravel. 137 00:07:31,720 --> 00:07:35,840 Speaker 2: And he did not. He didn't regain his composure after that. 138 00:07:35,920 --> 00:07:38,920 Speaker 1: I never did. He never seemed to get his footing. 139 00:07:38,920 --> 00:07:42,360 Speaker 1: And we've seen him ramble, we've seen we're almost used 140 00:07:42,360 --> 00:07:45,640 Speaker 1: to him being a certain way. I'm not sure I've 141 00:07:45,640 --> 00:07:47,800 Speaker 1: seen him this off, and. 142 00:07:49,360 --> 00:07:51,240 Speaker 2: It's true, and I have to say, Kamala, you know 143 00:07:51,480 --> 00:07:54,080 Speaker 2: some of these lines were clearly rehearsed, and we obviously 144 00:07:54,120 --> 00:07:58,720 Speaker 2: the candidates go into a very intense practicing mode, and 145 00:07:59,040 --> 00:08:02,840 Speaker 2: we heard she actually had the stage replicated and really 146 00:08:03,680 --> 00:08:06,560 Speaker 2: was prepared, and you could tell she had some doozies 147 00:08:07,480 --> 00:08:09,160 Speaker 2: that I wrote down. And I think probably one of 148 00:08:09,160 --> 00:08:12,240 Speaker 2: my favorites was he was fired by eighty one million 149 00:08:12,280 --> 00:08:15,200 Speaker 2: people people, and clearly he's having a hard time processing. 150 00:08:15,240 --> 00:08:18,440 Speaker 2: I mean, she just landed a lot of planes at 151 00:08:18,440 --> 00:08:22,680 Speaker 2: his expense, and it's almost he knew it he's a 152 00:08:22,720 --> 00:08:25,160 Speaker 2: smart man. He felt it, and I think it was 153 00:08:25,400 --> 00:08:29,320 Speaker 2: just it wasn't his night. You know. 154 00:08:30,640 --> 00:08:35,000 Speaker 1: I don't know how high the bar was for her tonight, 155 00:08:35,080 --> 00:08:37,280 Speaker 1: like what she needed to necessarily do. There's all these 156 00:08:37,280 --> 00:08:39,839 Speaker 1: polls out that still a third of the folks think 157 00:08:39,840 --> 00:08:41,680 Speaker 1: they need to know more about her before they vote 158 00:08:41,720 --> 00:08:44,200 Speaker 1: for They're still getting to know her. She hasn't done 159 00:08:44,200 --> 00:08:46,360 Speaker 1: a one on one sit down interview, she hasn't done 160 00:08:46,360 --> 00:08:48,280 Speaker 1: a press conference, all these things where people are trying 161 00:08:48,280 --> 00:08:52,199 Speaker 1: to learn something about her tonight. So I don't whatever 162 00:08:52,280 --> 00:08:58,280 Speaker 1: the bar was, she exceeded that sucker with his assistance, right, 163 00:08:58,360 --> 00:09:01,600 Speaker 1: he both some of them seemed going in. It's coming 164 00:09:01,600 --> 00:09:04,160 Speaker 1: from the camps that the strategy was let the other 165 00:09:04,200 --> 00:09:07,400 Speaker 1: one do most of the talking, and that is going 166 00:09:07,440 --> 00:09:09,920 Speaker 1: to be beneficial for our camp. Just let the other 167 00:09:09,920 --> 00:09:13,160 Speaker 1: one talk, and tonight he was the guy she just 168 00:09:13,280 --> 00:09:17,920 Speaker 1: let talk and she never did. Look the prosecutorial background 169 00:09:17,920 --> 00:09:20,680 Speaker 1: we talk about, they are trained, they know what they're doing, 170 00:09:20,720 --> 00:09:24,360 Speaker 1: they know how to handle all kinds of folks and 171 00:09:24,600 --> 00:09:28,680 Speaker 1: almost I mean, this was a knockout. I don't know 172 00:09:28,679 --> 00:09:31,160 Speaker 1: what else to say here, Robes, this is not it's 173 00:09:31,200 --> 00:09:34,600 Speaker 1: not even a policy This is just on optics, and 174 00:09:34,640 --> 00:09:38,439 Speaker 1: this is just on handling the moment. He wasn't up 175 00:09:38,480 --> 00:09:41,480 Speaker 1: to the task and to all that's going on in 176 00:09:41,520 --> 00:09:46,040 Speaker 1: the world. He's talking about people eating dogs. Were you 177 00:09:46,120 --> 00:09:48,800 Speaker 1: looking at the screen like what, yes, how is this relevant? 178 00:09:48,960 --> 00:09:52,760 Speaker 2: Yes? And then saying if Harris is elected president, Israel 179 00:09:52,840 --> 00:09:58,079 Speaker 2: will be gone in two years. He absolutely blamed Kamala 180 00:09:58,120 --> 00:10:02,880 Speaker 2: Harris for Russia's invasion of Ukraine. I mean, it was, 181 00:10:03,000 --> 00:10:07,319 Speaker 2: it was. It was. It's one thing to be able 182 00:10:07,360 --> 00:10:09,920 Speaker 2: to point your finger at at what a candidate has 183 00:10:09,960 --> 00:10:12,880 Speaker 2: done or contributed, but to make outlandish claims like that. 184 00:10:12,920 --> 00:10:15,240 Speaker 2: And yes, we're used to some of those types of 185 00:10:16,800 --> 00:10:20,640 Speaker 2: comments from Trump, but this actually was. It exceeded what 186 00:10:20,720 --> 00:10:22,440 Speaker 2: I had heard from him before. It didn't work, It 187 00:10:22,480 --> 00:10:27,000 Speaker 2: didn't land, It wasn't believable. It was almost laughable. And 188 00:10:27,080 --> 00:10:29,120 Speaker 2: that's where you started to, as you point out, maybe 189 00:10:29,120 --> 00:10:32,520 Speaker 2: even feel sorry for him, because that's not that it 190 00:10:32,559 --> 00:10:36,200 Speaker 2: didn't work, and you know he Look, we see politicians 191 00:10:36,200 --> 00:10:40,960 Speaker 2: on both sides of the Aisle fear monger. That is 192 00:10:41,679 --> 00:10:44,319 Speaker 2: a huge part when you see any campaign ad. This 193 00:10:44,360 --> 00:10:46,720 Speaker 2: is this has been going on since the beginning of time. 194 00:10:47,120 --> 00:10:51,480 Speaker 2: It's gotten worse. But tonight, get Trump played off of 195 00:10:51,520 --> 00:10:55,160 Speaker 2: that handbook where he was absolutely saying, you know, the 196 00:10:55,200 --> 00:10:58,200 Speaker 2: world's basically going to end if he is an elected president, 197 00:10:58,720 --> 00:11:03,040 Speaker 2: and we saw Kamala Harris take on a much more 198 00:11:03,200 --> 00:11:07,559 Speaker 2: positive It was a little at times was it felt 199 00:11:07,559 --> 00:11:11,440 Speaker 2: a little too cheerleader esque, but she did stay positive 200 00:11:11,480 --> 00:11:15,679 Speaker 2: for the most part, and she was building, you know, 201 00:11:15,920 --> 00:11:18,600 Speaker 2: a new vision. Let's not go back in time, and 202 00:11:18,640 --> 00:11:22,320 Speaker 2: that's been their campaign strategy. But tonight on the stage 203 00:11:22,400 --> 00:11:24,439 Speaker 2: it worked, you know, and I don't know how much 204 00:11:24,480 --> 00:11:27,360 Speaker 2: into policy we even got, or any real substantive answers 205 00:11:27,360 --> 00:11:30,360 Speaker 2: we got from any of the questions asked, So it 206 00:11:30,400 --> 00:11:34,000 Speaker 2: wasn't really about policy or substance, but in terms of 207 00:11:34,679 --> 00:11:39,120 Speaker 2: style and temperament, yes, and reaction and the ability to 208 00:11:39,240 --> 00:11:42,160 Speaker 2: pivot and to not get rattled that you know, I 209 00:11:42,160 --> 00:11:44,760 Speaker 2: think sadly that's where we are in these debates. Almost 210 00:11:44,800 --> 00:11:48,400 Speaker 2: it's less about even learning anything and more about observing 211 00:11:48,520 --> 00:11:50,760 Speaker 2: and watching, and I guess that is an important part 212 00:11:50,800 --> 00:11:53,760 Speaker 2: of leading a country and being president and trying times 213 00:11:54,000 --> 00:11:55,880 Speaker 2: you have to have the right temperament. 214 00:11:55,640 --> 00:12:00,560 Speaker 1: You know. With what we saw in the debate and 215 00:12:00,640 --> 00:12:05,080 Speaker 1: the news alert that just came across. The election is 216 00:12:05,080 --> 00:12:09,160 Speaker 1: probably settled. Just came across as we are recording this, 217 00:12:09,280 --> 00:12:11,400 Speaker 1: that Taylor Swift has endorsed Kamala Harris. 218 00:12:13,000 --> 00:12:15,960 Speaker 2: Well, I don't think that's a big surprise. This is 219 00:12:16,400 --> 00:12:24,400 Speaker 2: for anybody's done. She saying that, in fact, seeing Tonight's 220 00:12:24,480 --> 00:12:29,040 Speaker 2: debate is what has convinced her to weigh in publicly. Wow, 221 00:12:29,520 --> 00:12:33,440 Speaker 2: Taylor Swift has two hundred and eighty plus million Instagram 222 00:12:33,520 --> 00:12:37,640 Speaker 2: followers and she just told all of them how she feels. Now, 223 00:12:38,400 --> 00:12:42,360 Speaker 2: you could argue, right robes that maybe this will mobilize 224 00:12:42,880 --> 00:12:46,320 Speaker 2: and young folks will be engaged because Taylor Swift, but 225 00:12:46,400 --> 00:12:48,680 Speaker 2: you got another segment of the population that will be 226 00:12:48,840 --> 00:12:53,040 Speaker 2: also just as motivated to be anti anything that Taylor 227 00:12:53,080 --> 00:12:57,400 Speaker 2: Swift does. The problem is, anytime any entertainer or actor 228 00:12:58,120 --> 00:13:02,960 Speaker 2: makes a statement, it usually ends up backfiring in said 229 00:13:03,160 --> 00:13:07,479 Speaker 2: entertainer's face. However, Taylor Swift is a completely different entity altogether, 230 00:13:07,880 --> 00:13:11,120 Speaker 2: so I will withhold judgment as to how she may 231 00:13:11,200 --> 00:13:13,439 Speaker 2: fare or the impact of her endorsement. 232 00:13:13,880 --> 00:13:15,840 Speaker 1: They go well to your point. Yes, it's not a 233 00:13:15,840 --> 00:13:18,200 Speaker 1: surprise there, but it's funny that just came across. But 234 00:13:18,240 --> 00:13:19,959 Speaker 1: I wanted to go back for you at the top. 235 00:13:20,559 --> 00:13:22,280 Speaker 1: We should have played some kind of a game as 236 00:13:22,320 --> 00:13:23,800 Speaker 1: we were watching tonight. 237 00:13:24,200 --> 00:13:28,760 Speaker 2: And missed opportunity. Apparently there were bingo cards and drinking 238 00:13:28,800 --> 00:13:31,720 Speaker 2: games set out for so many There are a lot. 239 00:13:31,640 --> 00:13:33,720 Speaker 1: Of prop bets that were available, but the first one 240 00:13:33,760 --> 00:13:38,680 Speaker 1: would have been for me, will they shake hands? Yep, honestly, 241 00:13:38,720 --> 00:13:40,640 Speaker 1: what do what would your answer have been? We know 242 00:13:40,679 --> 00:13:42,600 Speaker 1: what they did. They did shake hands, but well. 243 00:13:42,480 --> 00:13:47,360 Speaker 2: Kamala Harris walked straight over to uhpace former President Trump. 244 00:13:47,440 --> 00:13:49,720 Speaker 2: She did. She was a yeah, she she went for it. 245 00:13:49,800 --> 00:13:52,200 Speaker 2: She wanted I think to be on record obviously as 246 00:13:52,240 --> 00:13:55,080 Speaker 2: doing so, because I have to say, I don't know. 247 00:13:55,200 --> 00:13:57,719 Speaker 2: I must have been just not paying attention. I did 248 00:13:57,720 --> 00:14:03,319 Speaker 2: not realize that those two had never physically met before ever, 249 00:14:03,440 --> 00:14:07,800 Speaker 2: which is remarkable and kind of hard to imagine. That's strange. 250 00:14:07,840 --> 00:14:11,559 Speaker 2: But this was the first time they ever met face 251 00:14:11,600 --> 00:14:16,240 Speaker 2: to face in person, and it was awkward and actually 252 00:14:16,240 --> 00:14:18,400 Speaker 2: she you know what this is when you could really 253 00:14:18,440 --> 00:14:21,280 Speaker 2: tell she was nervous. She she tried to say, well, 254 00:14:21,480 --> 00:14:22,440 Speaker 2: what did she try to say? 255 00:14:22,520 --> 00:14:26,320 Speaker 1: She said Harris at first, right, and then she tried something. 256 00:14:26,240 --> 00:14:29,920 Speaker 2: Nice to meet you, but yeah, and then she just stopped. 257 00:14:30,560 --> 00:14:32,440 Speaker 2: But that was like, oh, no, how's this going to go? 258 00:14:32,720 --> 00:14:34,480 Speaker 2: But that is a nerve wracking thing to do. And 259 00:14:34,520 --> 00:14:37,960 Speaker 2: then of course at the end, he just walked off 260 00:14:37,960 --> 00:14:40,680 Speaker 2: the stage. There was no handshake, there was there was 261 00:14:40,760 --> 00:14:44,680 Speaker 2: no there was nothing. I don't think there's going to 262 00:14:44,720 --> 00:14:45,400 Speaker 2: be a second date. 263 00:14:46,720 --> 00:14:49,240 Speaker 1: Okay, how it started to your point, at the beginning, 264 00:14:50,000 --> 00:14:52,120 Speaker 1: we were also saying, like, somebody please get this this 265 00:14:52,200 --> 00:14:54,400 Speaker 1: lady a glass of water. She seemed nervous. 266 00:14:54,760 --> 00:14:56,960 Speaker 2: Yea, she had that dry mouth. We know what that's 267 00:14:57,000 --> 00:14:59,880 Speaker 2: like in broadcasting. I have been nervous many many times, 268 00:15:00,080 --> 00:15:02,200 Speaker 2: and you just need a glass of water. I think 269 00:15:02,200 --> 00:15:05,160 Speaker 2: of Marco Rubio as well. I feel for anyone like 270 00:15:05,400 --> 00:15:08,000 Speaker 2: you get nervous, immediate dry mouth, and so yes, I 271 00:15:08,520 --> 00:15:12,000 Speaker 2: kept My daughter was watching in an apartment nearby, my 272 00:15:12,040 --> 00:15:13,760 Speaker 2: twenty one year ol daughter, and I was like, get 273 00:15:13,800 --> 00:15:16,720 Speaker 2: that woman a glass of water. She needs some water. 274 00:15:25,760 --> 00:15:28,640 Speaker 1: We started out with the like, oh, she's nervous and 275 00:15:28,720 --> 00:15:30,560 Speaker 1: she's going to be off. And then they started out 276 00:15:30,600 --> 00:15:34,840 Speaker 1: with talk about the economy, and that's where Trump felt 277 00:15:35,080 --> 00:15:38,040 Speaker 1: strong at least, and he actually made a decent the 278 00:15:38,160 --> 00:15:40,960 Speaker 1: run spot run line he had about the economy, and 279 00:15:41,040 --> 00:15:43,240 Speaker 1: that was good, I'm gonna get you a I'm gonna 280 00:15:43,240 --> 00:15:46,520 Speaker 1: get a maga hat like you all are riding my 281 00:15:46,600 --> 00:15:49,280 Speaker 1: coattails kind of a thing. He started out strong. It 282 00:15:49,360 --> 00:15:53,120 Speaker 1: kind of went downhill after the first ten fifteen minutes 283 00:15:53,240 --> 00:15:58,280 Speaker 1: for sure, after that, but that was his strongly. I said, wow, 284 00:15:58,400 --> 00:16:00,600 Speaker 1: he were about to have a fight night. And it 285 00:16:00,640 --> 00:16:01,840 Speaker 1: didn't develop after that. 286 00:16:01,960 --> 00:16:05,080 Speaker 2: It was it was a complete reversal. It wasn't about 287 00:16:05,080 --> 00:16:09,080 Speaker 2: face from what the first five minutes and then it Yeah, 288 00:16:09,160 --> 00:16:12,240 Speaker 2: it did not go well for the former president after that. 289 00:16:12,360 --> 00:16:14,880 Speaker 2: And you know everyone was saying, and you know, his 290 00:16:14,920 --> 00:16:17,080 Speaker 2: advisors were telling him, do not take her bait, do 291 00:16:17,160 --> 00:16:21,800 Speaker 2: not take her bait. And he couldn't resist. He he 292 00:16:22,000 --> 00:16:25,320 Speaker 2: was very much trying to defend his position. But then 293 00:16:25,360 --> 00:16:27,760 Speaker 2: he would just take it into tangents where I forgot 294 00:16:28,320 --> 00:16:33,280 Speaker 2: what the original conversation or question or reaction was. I 295 00:16:33,560 --> 00:16:37,560 Speaker 2: actually forgot how we got there or how he brought 296 00:16:37,640 --> 00:16:41,720 Speaker 2: us to a place of no return. In many moments, 297 00:16:43,040 --> 00:16:44,320 Speaker 2: it was very confusing. 298 00:16:44,360 --> 00:16:46,240 Speaker 1: Oh look about doad here. You remember what he called 299 00:16:46,280 --> 00:16:52,600 Speaker 1: the prosecutors at in Georgia Fawnny, Yes, Fannie Willis. 300 00:16:52,640 --> 00:16:54,800 Speaker 2: That was that was a square on the being go Barr. 301 00:16:55,360 --> 00:16:58,280 Speaker 2: It was actually not the mispronunciation of her name, but 302 00:16:58,400 --> 00:16:59,320 Speaker 2: just that he would bring her up. 303 00:16:59,600 --> 00:17:01,800 Speaker 1: Oh yeah, Central par I gotta text from a friend 304 00:17:01,800 --> 00:17:05,480 Speaker 1: who was watching a very keen political observer and she 305 00:17:05,680 --> 00:17:07,840 Speaker 1: just sent a funny text that I did not have 306 00:17:07,880 --> 00:17:11,800 Speaker 1: the Central Park five on my Bengal card tonight. That 307 00:17:12,040 --> 00:17:14,000 Speaker 1: there were things that just came out of like what 308 00:17:14,160 --> 00:17:20,080 Speaker 1: is happening at times and look and part of that, 309 00:17:20,200 --> 00:17:21,600 Speaker 1: and I think we need to address here and that 310 00:17:21,640 --> 00:17:24,960 Speaker 1: we would never dream of trying to be critical of 311 00:17:25,000 --> 00:17:29,480 Speaker 1: our friends and former colleagues, but they are going to 312 00:17:29,520 --> 00:17:33,280 Speaker 1: get some criticism that they already are getting for not 313 00:17:34,960 --> 00:17:39,679 Speaker 1: holding I guess Vice President Harris's feet to the fire, 314 00:17:40,560 --> 00:17:43,600 Speaker 1: and I guess it perpetuates his notion robes that folks 315 00:17:43,880 --> 00:17:48,160 Speaker 1: feel that the media is left leaning and a supportive 316 00:17:48,160 --> 00:17:53,000 Speaker 1: of Democratic candidates, and tonight didn't do a whole lot 317 00:17:53,080 --> 00:17:57,119 Speaker 1: to help people who have that criticism that notion already. 318 00:17:56,920 --> 00:17:59,760 Speaker 2: There is already and we know this having been in 319 00:18:00,480 --> 00:18:04,320 Speaker 2: and being a part of those newsrooms. I've been in 320 00:18:04,400 --> 00:18:09,879 Speaker 2: network news for twenty plus years and certainly was aware 321 00:18:09,880 --> 00:18:13,679 Speaker 2: of the criticism. And I think many people behind the scenes, 322 00:18:13,800 --> 00:18:16,760 Speaker 2: not just the two. Moderators are also very aware of that, 323 00:18:16,840 --> 00:18:19,840 Speaker 2: and I've been a part of political interviews where you 324 00:18:20,000 --> 00:18:22,800 Speaker 2: do your due diligence to make sure. I always felt 325 00:18:22,800 --> 00:18:26,520 Speaker 2: like the measure of a good interview. I think the 326 00:18:26,920 --> 00:18:29,440 Speaker 2: biggest one I probably had was Hunter Biden. And if 327 00:18:29,520 --> 00:18:31,520 Speaker 2: I had people on the left and the right both 328 00:18:31,560 --> 00:18:33,719 Speaker 2: angry at me, both thinking I didn't do my job right, 329 00:18:33,760 --> 00:18:35,560 Speaker 2: then I figured I did do my job right. That 330 00:18:35,680 --> 00:18:39,800 Speaker 2: was always the measure of success. But you're going to 331 00:18:39,840 --> 00:18:42,359 Speaker 2: be hearing and we've already seen it three against one 332 00:18:43,400 --> 00:18:47,359 Speaker 2: that ABC News was there to promote and to lift 333 00:18:47,520 --> 00:18:51,639 Speaker 2: up and make and help make Kamala Harris look good. 334 00:18:52,240 --> 00:18:58,560 Speaker 2: And it's true I didn't see or hear tough questions. 335 00:18:58,760 --> 00:19:03,240 Speaker 2: The only tough one I heard was when Lindsay Davis 336 00:19:03,920 --> 00:19:09,240 Speaker 2: asked Kamala Harris about how she shifted positions dramatically, and 337 00:19:09,400 --> 00:19:10,879 Speaker 2: I think and then Kama said, I'm going to go 338 00:19:10,920 --> 00:19:12,800 Speaker 2: through all of those and explain them, and then she 339 00:19:12,920 --> 00:19:16,000 Speaker 2: never did. That's when the moderator has to follow up. 340 00:19:16,160 --> 00:19:18,080 Speaker 2: You know, we always say it's not the initial question, 341 00:19:18,440 --> 00:19:21,000 Speaker 2: it's the follow up. And so that's where you're trained 342 00:19:21,040 --> 00:19:23,840 Speaker 2: and hopefully prepared and prepped, and you have to hold 343 00:19:25,280 --> 00:19:27,920 Speaker 2: not yes if there's an outright lie. Of course, and 344 00:19:28,280 --> 00:19:30,639 Speaker 2: I know that Lindsay did a great job fact checking 345 00:19:32,000 --> 00:19:36,439 Speaker 2: President Trump about something he said about abortions, which we 346 00:19:36,440 --> 00:19:40,520 Speaker 2: can get into. But you have to be able to 347 00:19:40,680 --> 00:19:42,840 Speaker 2: if someone doesn't answer the question, even if you don't 348 00:19:42,840 --> 00:19:44,840 Speaker 2: have time to force them to, you try to get 349 00:19:44,880 --> 00:19:48,040 Speaker 2: them to acknowledge. Well, you never answer the question, just 350 00:19:48,119 --> 00:19:51,280 Speaker 2: at least have that button on it. So people listening remember, 351 00:19:51,400 --> 00:19:54,280 Speaker 2: wait a minute, Yeah, they didn't answer that question. That 352 00:19:54,320 --> 00:19:55,240 Speaker 2: didn't happen tonight. 353 00:19:55,440 --> 00:19:57,800 Speaker 1: That was the most important and maybe one of the 354 00:19:57,840 --> 00:20:02,440 Speaker 1: most important questions of the night, was about her Vice 355 00:20:02,440 --> 00:20:07,320 Speaker 1: President Harris changing her position on several items, including most 356 00:20:07,320 --> 00:20:08,040 Speaker 1: importantly fracking. 357 00:20:08,119 --> 00:20:11,000 Speaker 2: Cracking was there in Pennsylvania, which is a huge issue there. 358 00:20:11,200 --> 00:20:13,280 Speaker 1: It was really important. That was a really important question, 359 00:20:13,359 --> 00:20:16,080 Speaker 1: and it was asked but never answered, and when it 360 00:20:16,160 --> 00:20:21,560 Speaker 1: wasn't answered, it an answer wasn't insisted upon by the moderator. Well, 361 00:20:21,800 --> 00:20:23,760 Speaker 1: that is that we have seen. We have seen both 362 00:20:23,800 --> 00:20:25,920 Speaker 1: of these folks prepare. We have been there with them 363 00:20:25,960 --> 00:20:28,840 Speaker 1: as they prepare for these the job. This is an 364 00:20:29,040 --> 00:20:34,959 Speaker 1: enormous and almost impossible job. But you you know, in 365 00:20:35,160 --> 00:20:37,600 Speaker 1: a stage this big, with the stakes this high, with 366 00:20:37,760 --> 00:20:41,520 Speaker 1: as heated as things are, you don't want people to 367 00:20:41,920 --> 00:20:44,960 Speaker 1: you don't want to give anybody any more fuel to 368 00:20:45,040 --> 00:20:50,600 Speaker 1: criticize that you're leaning one way. And unfortunately this didn't help. 369 00:20:50,600 --> 00:20:52,120 Speaker 1: And I hate some of the heat that's going to come. 370 00:20:52,160 --> 00:20:54,800 Speaker 1: But you know, they're good folks, and we know they're 371 00:20:54,800 --> 00:20:55,440 Speaker 1: good folks. 372 00:20:55,240 --> 00:20:58,520 Speaker 2: And they're solid journalists, and we both know them well 373 00:20:58,560 --> 00:21:01,400 Speaker 2: and know that their intention was to be fair and 374 00:21:01,640 --> 00:21:03,800 Speaker 2: to ask the tough questions. But that is a whole 375 00:21:03,840 --> 00:21:06,520 Speaker 2: lot of pressure, especially when you know, you saw the 376 00:21:06,560 --> 00:21:11,520 Speaker 2: impact of the last debate with President Biden former President Trump, 377 00:21:11,800 --> 00:21:14,680 Speaker 2: the impact that had, and then the pressure of doing 378 00:21:14,720 --> 00:21:19,919 Speaker 2: this on September tenth, just obviously and probably most likely 379 00:21:20,040 --> 00:21:22,679 Speaker 2: the one and only debate between these two. That's a 380 00:21:22,680 --> 00:21:25,920 Speaker 2: tremendous amount of pressure. I know Fox News is trying 381 00:21:25,960 --> 00:21:29,520 Speaker 2: to get a second debate in October, but and I'm 382 00:21:29,560 --> 00:21:33,159 Speaker 2: sure President Trump is probably very happy to oblige, or 383 00:21:33,200 --> 00:21:35,240 Speaker 2: maybe not after this. I don't know he had said 384 00:21:35,240 --> 00:21:36,200 Speaker 2: before he would. 385 00:21:36,119 --> 00:21:39,000 Speaker 1: Yeah, but her campaign apparently has already come out now 386 00:21:39,280 --> 00:21:41,679 Speaker 1: kind of jokingly maybe, but say hey, let's do it 387 00:21:41,680 --> 00:21:44,600 Speaker 1: again in October. Okay, we'll see. Do they need to 388 00:21:44,680 --> 00:21:46,480 Speaker 1: does she need to? No, she hasn't done a press 389 00:21:46,480 --> 00:21:48,560 Speaker 1: commerce and she has not done a one on one 390 00:21:48,680 --> 00:21:53,200 Speaker 1: interview since she became the nominee. And she's doing just fine. 391 00:21:53,440 --> 00:21:55,960 Speaker 1: So is that going to come back and bite. 392 00:21:56,000 --> 00:21:56,080 Speaker 2: No. 393 00:21:56,240 --> 00:22:00,399 Speaker 1: I mean she nailed it tonight. 394 00:22:00,520 --> 00:22:03,000 Speaker 2: So and but the right will say she nailed it 395 00:22:03,080 --> 00:22:05,879 Speaker 2: because the left leaning press allowed her to. 396 00:22:06,119 --> 00:22:07,720 Speaker 1: And you make a very good point. 397 00:22:09,080 --> 00:22:12,800 Speaker 2: And because she hasn't done Sorry, no, she hasn't done 398 00:22:12,840 --> 00:22:15,880 Speaker 2: that one on one interview where it's just been her 399 00:22:16,480 --> 00:22:19,159 Speaker 2: and someone who is going to hold her feet to 400 00:22:19,200 --> 00:22:22,400 Speaker 2: the fire, where there isn't, you know, another candidate to 401 00:22:22,400 --> 00:22:26,480 Speaker 2: deflect or to you know, try and put something on them, 402 00:22:26,520 --> 00:22:29,320 Speaker 2: but instead having to truly answer for your record. This 403 00:22:29,359 --> 00:22:31,359 Speaker 2: is somebody who's been in the White House for the 404 00:22:31,400 --> 00:22:35,159 Speaker 2: past four years and certainly was a senator before that attorneyship. 405 00:22:35,240 --> 00:22:37,600 Speaker 2: There's plenty to talk to her about where she stands 406 00:22:37,600 --> 00:22:40,480 Speaker 2: on things and how her positions have evolved over the years. 407 00:22:40,840 --> 00:22:43,080 Speaker 1: I think that was the she had a couple of 408 00:22:43,200 --> 00:22:46,320 Speaker 1: knockout lines. I thought one to your what you were 409 00:22:46,359 --> 00:22:49,680 Speaker 1: just saying there. She when she's said, quote, I am 410 00:22:49,800 --> 00:22:54,960 Speaker 1: not Joe Biden. Yes, I'm not Donald Trump. I bring 411 00:22:55,080 --> 00:22:59,680 Speaker 1: a new generation of leadership. She lumped those two guys 412 00:22:59,720 --> 00:23:02,920 Speaker 1: to yether. It was insulting in a certain way when 413 00:23:02,960 --> 00:23:07,159 Speaker 1: it was a nod, and it's like she she gave it. 414 00:23:07,400 --> 00:23:10,400 Speaker 1: She responded to a lot of groups, we're just tired 415 00:23:10,440 --> 00:23:14,040 Speaker 1: of seeing a bunch of old white men in office, 416 00:23:14,880 --> 00:23:17,080 Speaker 1: and she lumped them together. I'm not either one of 417 00:23:17,080 --> 00:23:19,520 Speaker 1: those guys. I'm something else. She almost says, I'm not 418 00:23:19,560 --> 00:23:22,680 Speaker 1: a Republican or a Democrat. I'm something else. That I 419 00:23:22,760 --> 00:23:26,480 Speaker 1: thought was a great line. She delivered that thing perfectly, 420 00:23:26,520 --> 00:23:27,919 Speaker 1: and it landed for me. 421 00:23:28,119 --> 00:23:30,000 Speaker 2: It did. It landed for me too. I wrote that down, 422 00:23:30,040 --> 00:23:31,680 Speaker 2: and you know what, I didn't think about it in 423 00:23:31,800 --> 00:23:35,800 Speaker 2: terms of saying I'm not an old white man. I 424 00:23:35,840 --> 00:23:38,960 Speaker 2: actually but but that is she she did put that 425 00:23:39,000 --> 00:23:41,159 Speaker 2: in your brain without actually saying it, which was pretty 426 00:23:41,160 --> 00:23:44,359 Speaker 2: pretty brilliant on her part. And you know a couple 427 00:23:44,359 --> 00:23:48,359 Speaker 2: of times she she started, she backed away from it. 428 00:23:48,400 --> 00:23:50,240 Speaker 2: But I think she talked about her being from a 429 00:23:50,240 --> 00:23:52,560 Speaker 2: middle class family a little bit too much for me. 430 00:23:52,640 --> 00:23:55,720 Speaker 2: You know, I don't think any of us at this point, 431 00:23:55,880 --> 00:23:58,359 Speaker 2: you know, we want to hear someone who's just going 432 00:23:58,400 --> 00:24:01,240 Speaker 2: to answer a question authentically, I don't need That's great 433 00:24:01,240 --> 00:24:03,399 Speaker 2: when you were taking you had your an acceptance speech 434 00:24:03,440 --> 00:24:07,040 Speaker 2: at the Democratic National Convention, tell your story, that's great. 435 00:24:07,080 --> 00:24:09,840 Speaker 2: But I was happy to see she backed away from 436 00:24:09,840 --> 00:24:12,200 Speaker 2: that a little bit because that becomes it feels pandering, 437 00:24:12,240 --> 00:24:16,920 Speaker 2: It feels too prepared and too packaged in a way. 438 00:24:17,000 --> 00:24:19,480 Speaker 2: So and that's something that Trump's always, you know, been 439 00:24:19,520 --> 00:24:22,679 Speaker 2: good at. He just shoots from the hip, and you know, 440 00:24:22,800 --> 00:24:26,680 Speaker 2: whatever he's saying, you know, it's not some carefully prepared 441 00:24:27,000 --> 00:24:29,040 Speaker 2: thing that an advisor told him to say, because that's 442 00:24:29,040 --> 00:24:30,960 Speaker 2: not him. So at least what you see is what 443 00:24:31,040 --> 00:24:33,600 Speaker 2: you get. And that's part of what people like about him, 444 00:24:33,960 --> 00:24:38,320 Speaker 2: that he is somebody who seems to be authentic. At 445 00:24:38,600 --> 00:24:41,720 Speaker 2: least he says what he feels in the moment, whether 446 00:24:41,760 --> 00:24:44,399 Speaker 2: you like it or not, whether it's offensive or not, 447 00:24:44,560 --> 00:24:47,199 Speaker 2: he says what he thinks. So, yes, she started to 448 00:24:47,200 --> 00:24:51,080 Speaker 2: go down that road, and I think got off it 449 00:24:51,160 --> 00:24:51,840 Speaker 2: pretty quickly. 450 00:24:52,359 --> 00:24:55,960 Speaker 1: But he was not sharp. He was not on message tonight. 451 00:24:56,080 --> 00:25:01,719 Speaker 1: And okay, something I think everybody's She started blowing up 452 00:25:01,760 --> 00:25:07,240 Speaker 1: when he made the comment having with she is allowing 453 00:25:07,840 --> 00:25:11,440 Speaker 1: or is in favor of transgender surgeries for illegal immigrants 454 00:25:11,480 --> 00:25:16,479 Speaker 1: in prison. Yeah, now that sounds completely wild and far fetched, 455 00:25:16,480 --> 00:25:19,840 Speaker 1: and it sounds completely like, where did that come from? 456 00:25:19,880 --> 00:25:22,280 Speaker 1: It does come from a place, and in fact, it 457 00:25:22,359 --> 00:25:26,679 Speaker 1: comes from a place of fact. He didn't deliver that 458 00:25:26,800 --> 00:25:30,040 Speaker 1: message well, so it sounded like a crazy thing. But 459 00:25:30,160 --> 00:25:34,280 Speaker 1: this is from a I think it was an ACLU 460 00:25:34,400 --> 00:25:37,560 Speaker 1: questionnaire she filled out when she was first running for president, 461 00:25:37,600 --> 00:25:42,720 Speaker 1: and there was a question about care for non binary 462 00:25:42,760 --> 00:25:46,919 Speaker 1: folks who are in the prison system, including illegal immigrants, 463 00:25:47,240 --> 00:25:51,640 Speaker 1: and a part of that care could include anything having 464 00:25:51,680 --> 00:25:55,879 Speaker 1: to do with gender, having to do with transgender care 465 00:25:56,119 --> 00:26:00,680 Speaker 1: and surgeries, and it was lumped in there. Her response was, yes, 466 00:26:00,960 --> 00:26:04,920 Speaker 1: it's based in fact, right, But the way he delivered 467 00:26:04,960 --> 00:26:06,639 Speaker 1: it out of nowhere, I'm not even sure what the 468 00:26:06,760 --> 00:26:09,800 Speaker 1: question he was asked. And then out of nowhere he 469 00:26:09,960 --> 00:26:20,480 Speaker 1: says something like that, which without context just sounds absolutely bonkers. Right, 470 00:26:20,520 --> 00:26:23,359 Speaker 1: And there's no evidence that anybody who's been held in 471 00:26:23,359 --> 00:26:28,000 Speaker 1: the detention center is teaching any of these services. But 472 00:26:28,119 --> 00:26:30,080 Speaker 1: it was that kind of thing to where there's a 473 00:26:30,080 --> 00:26:32,520 Speaker 1: lot of what he said, and he has like a 474 00:26:32,560 --> 00:26:35,040 Speaker 1: lot of history and facts and numbers about the account 475 00:26:35,119 --> 00:26:38,520 Speaker 1: on his side, but the way he's delivering the message 476 00:26:38,600 --> 00:26:44,280 Speaker 1: sounds so erratic and wild and at times just confusing. 477 00:26:44,480 --> 00:26:47,359 Speaker 2: Yeah, and exactly, And he did the same thing in 478 00:26:47,440 --> 00:26:50,800 Speaker 2: the abortion conversation that they had, because you know, he 479 00:26:50,960 --> 00:26:54,199 Speaker 2: started off describing and talking about how he wanted it 480 00:26:54,200 --> 00:26:56,240 Speaker 2: to be, you know, in the power of the states, 481 00:26:56,280 --> 00:26:59,639 Speaker 2: and that's clearly you know, in line with most Republicans. 482 00:26:59,640 --> 00:27:02,080 Speaker 2: They want the federal government to have less power, the 483 00:27:02,119 --> 00:27:04,920 Speaker 2: states to have the right to decide what's best for 484 00:27:05,240 --> 00:27:07,600 Speaker 2: their people and let them vote what they want. So 485 00:27:07,760 --> 00:27:09,320 Speaker 2: he was on the right track, but then he starts 486 00:27:09,320 --> 00:27:15,439 Speaker 2: talking about how Democrats want to execute and he used 487 00:27:15,480 --> 00:27:19,440 Speaker 2: the word execute babies, referring to a late term abortion 488 00:27:20,480 --> 00:27:24,159 Speaker 2: or a partial birth abortion. And Lindsay Davis, this is 489 00:27:24,200 --> 00:27:26,600 Speaker 2: what I referred to earlier, nailed it when he finished it. 490 00:27:26,680 --> 00:27:29,080 Speaker 2: She just said to him, there is no state in 491 00:27:29,119 --> 00:27:31,520 Speaker 2: this country where it is legal to kill a baby 492 00:27:31,720 --> 00:27:35,119 Speaker 2: after it's born, which ended that. But it was just 493 00:27:35,600 --> 00:27:37,960 Speaker 2: a statement where he just he took it too far. 494 00:27:38,480 --> 00:27:41,600 Speaker 2: And then even if you were with him or you know, 495 00:27:41,640 --> 00:27:44,200 Speaker 2: what he was saying was true and what he wanted 496 00:27:44,240 --> 00:27:46,560 Speaker 2: to do with Roe V. Wade and what he was 497 00:27:46,600 --> 00:27:49,800 Speaker 2: able to accomplish, but then takes it to a point 498 00:27:49,800 --> 00:27:54,680 Speaker 2: where it's just it becomes I hate to say ridiculous 499 00:27:54,680 --> 00:27:56,679 Speaker 2: when it comes to a stern statement like that, but 500 00:27:56,800 --> 00:28:01,239 Speaker 2: it was just false. And Lindsay Davis rightfully corrected him 501 00:28:01,280 --> 00:28:01,560 Speaker 2: on that. 502 00:28:02,400 --> 00:28:09,320 Speaker 1: And again that was I don't know how he I 503 00:28:09,320 --> 00:28:11,200 Speaker 1: don't know what happens now, I don't. I don't think 504 00:28:12,240 --> 00:28:14,679 Speaker 1: the reaction we've seen so far is similar to what 505 00:28:14,680 --> 00:28:20,560 Speaker 1: we saw from after President Biden's performance at that debate. 506 00:28:20,640 --> 00:28:25,119 Speaker 1: We haven't seen that necessarily to that that for alarm 507 00:28:25,280 --> 00:28:27,840 Speaker 1: type situation for Republicans. But it was a bad night. 508 00:28:28,359 --> 00:28:30,040 Speaker 1: It was a really really bad night. And they're not 509 00:28:30,160 --> 00:28:32,760 Speaker 1: going to get a lot of opportunities to go after 510 00:28:34,240 --> 00:28:36,440 Speaker 1: Vice President Harris on this type of scale, with this 511 00:28:36,520 --> 00:28:41,400 Speaker 1: type of viewership. They just aren't. She has proven with 512 00:28:41,520 --> 00:28:46,600 Speaker 1: her speech, with the interview with CNN with her running mate, 513 00:28:46,720 --> 00:28:50,240 Speaker 1: and now on stage with Donald Trump that she's up 514 00:28:50,320 --> 00:28:50,920 Speaker 1: to the task. 515 00:28:51,200 --> 00:28:53,440 Speaker 2: Now what, Yeah, I don't know. And then do do 516 00:28:53,560 --> 00:28:56,160 Speaker 2: we see do we see how does Trump do damage 517 00:28:56,200 --> 00:28:59,240 Speaker 2: control tomorrow? I mean, what what do we what do 518 00:28:59,280 --> 00:29:01,440 Speaker 2: we see or do we anticipate? It's hard to know. 519 00:29:01,560 --> 00:29:05,520 Speaker 2: I also do want to point out that something else 520 00:29:05,560 --> 00:29:09,240 Speaker 2: that Kamala Harris was also perpetuating that she wasn't called on. 521 00:29:09,360 --> 00:29:11,480 Speaker 2: I mean, Donald Trump called her on it, but she 522 00:29:11,600 --> 00:29:14,080 Speaker 2: kept bringing out Project twenty twenty five, and I think 523 00:29:14,120 --> 00:29:18,720 Speaker 2: we have to She knows good and well as to 524 00:29:19,200 --> 00:29:21,959 Speaker 2: the Democrats, and President Trump has said it over and 525 00:29:21,960 --> 00:29:24,800 Speaker 2: over again that he had nothing to do with the document. 526 00:29:24,840 --> 00:29:27,120 Speaker 2: In fact, tonight he said he'd never even fully read 527 00:29:27,240 --> 00:29:31,720 Speaker 2: the document, and yet they constantly, in a fear mongering way, 528 00:29:32,760 --> 00:29:35,920 Speaker 2: pin that on him and make people very concerned about 529 00:29:35,960 --> 00:29:39,640 Speaker 2: what could happen if he's elected president and constantly bring 530 00:29:39,720 --> 00:29:42,280 Speaker 2: up Project twenty twenty five even though they know that's 531 00:29:42,320 --> 00:29:46,120 Speaker 2: not true. And I didn't hear. I didn't hear the 532 00:29:46,160 --> 00:29:50,240 Speaker 2: moderators reiterate that or call her on it, or say 533 00:29:50,280 --> 00:29:53,320 Speaker 2: that is in fact not true. He defended himself, yes, 534 00:29:53,360 --> 00:29:54,920 Speaker 2: but I did not hear the moderator or. 535 00:29:55,000 --> 00:29:56,760 Speaker 1: Was she brought it up at least twice that question. 536 00:29:57,200 --> 00:29:59,680 Speaker 2: I heard it twice as well, And that was something 537 00:29:59,680 --> 00:30:01,920 Speaker 2: I want to point out too, because they did not 538 00:30:02,040 --> 00:30:05,000 Speaker 2: call her on that, and that was outright false. 539 00:30:14,160 --> 00:30:18,400 Speaker 1: All in all, we had anticipated this moment for the 540 00:30:18,480 --> 00:30:22,680 Speaker 1: past couple of weeks. We've been planning our time around it. 541 00:30:23,520 --> 00:30:24,320 Speaker 1: What did you think? 542 00:30:25,760 --> 00:30:30,360 Speaker 2: You know? What it was? I was thinking about it, 543 00:30:30,440 --> 00:30:35,680 Speaker 2: even from someone who lives somewhere else, who doesn't live 544 00:30:35,680 --> 00:30:39,080 Speaker 2: in this country, and it was kind of embarrassing because 545 00:30:39,080 --> 00:30:44,200 Speaker 2: it just it just felt I mean, it could have 546 00:30:44,240 --> 00:30:47,440 Speaker 2: been worse. I'll say that much. It could have been worse. 547 00:30:47,480 --> 00:30:50,000 Speaker 2: I was happy to see there wasn't as much name 548 00:30:50,080 --> 00:30:54,120 Speaker 2: calling or there was There wasn't the petty and maybe 549 00:30:54,120 --> 00:30:56,400 Speaker 2: that's because of the mic situation that they weren't allowed 550 00:30:56,400 --> 00:30:58,240 Speaker 2: to interrupt and so they were allowed to cool down 551 00:30:58,280 --> 00:31:00,800 Speaker 2: a little bit before they decided to speak. So I 552 00:31:00,960 --> 00:31:03,640 Speaker 2: was at least that was It could have been worse. 553 00:31:03,760 --> 00:31:05,400 Speaker 2: And I guess that's sad to say that that's where 554 00:31:05,400 --> 00:31:11,200 Speaker 2: the bar is for me, But I just I think 555 00:31:11,240 --> 00:31:16,480 Speaker 2: a lot of people saw the temperaments of these two 556 00:31:16,920 --> 00:31:19,880 Speaker 2: and I think that can help in making a decision policy. 557 00:31:20,240 --> 00:31:23,600 Speaker 2: I don't think I got anywhere with either one of them. 558 00:31:23,600 --> 00:31:25,760 Speaker 2: I don't think I learned anything new, and in fact, 559 00:31:25,760 --> 00:31:28,760 Speaker 2: if anything, I was more confused, which is not the 560 00:31:28,800 --> 00:31:31,000 Speaker 2: point or purpose of these things. And they've become theater, 561 00:31:31,040 --> 00:31:33,920 Speaker 2: and they've maybe they've always been theater, but that theater 562 00:31:34,040 --> 00:31:37,160 Speaker 2: was on full display, and I too wanted it to end. 563 00:31:37,240 --> 00:31:40,640 Speaker 2: It just felt icky at times, and it just felt 564 00:31:40,680 --> 00:31:45,440 Speaker 2: like bizarre in a lot of moments. And I didn't 565 00:31:45,520 --> 00:31:51,600 Speaker 2: walk away feeling good about our political process, but I 566 00:31:51,640 --> 00:31:52,560 Speaker 2: haven't in a long time. 567 00:31:54,160 --> 00:31:57,520 Speaker 1: That is a good way to put it. At some point, yes, 568 00:31:57,600 --> 00:32:00,160 Speaker 1: we talked about who the two people are, the history 569 00:32:00,200 --> 00:32:05,520 Speaker 1: that's there, but at points I feel like I'm hearing 570 00:32:05,600 --> 00:32:08,720 Speaker 1: the same old speeches. I'm hearing the same old lines, 571 00:32:08,760 --> 00:32:11,440 Speaker 1: I'm hearing the same old stuff. I'm hearing nothing new. 572 00:32:11,520 --> 00:32:15,480 Speaker 1: I see different people, but I'm not hearing a lot 573 00:32:15,600 --> 00:32:19,600 Speaker 1: that's necessarily new. I know we have history on one 574 00:32:19,600 --> 00:32:21,040 Speaker 1: side of the ticket that a lot of people are 575 00:32:21,040 --> 00:32:23,160 Speaker 1: excited about, and then a lot of people excited about 576 00:32:23,160 --> 00:32:25,280 Speaker 1: maybe turning the page, a lot of people citing it, 577 00:32:25,400 --> 00:32:28,800 Speaker 1: maybe about going back to what they feel were better 578 00:32:28,880 --> 00:32:31,200 Speaker 1: times at economic times with Trump, I. 579 00:32:31,280 --> 00:32:34,240 Speaker 2: Don't know, did you even hear anything about the economy 580 00:32:34,360 --> 00:32:35,560 Speaker 2: that much like taxes? 581 00:32:35,640 --> 00:32:38,240 Speaker 1: It was the first ten minutes when he was doing well, and. 582 00:32:38,480 --> 00:32:42,160 Speaker 2: Yeah, shifted, but like you know, the truth is, it's 583 00:32:42,200 --> 00:32:45,280 Speaker 2: the economy stupid. That's always what people say. That's traditionally 584 00:32:45,280 --> 00:32:47,239 Speaker 2: why people they vote with their wallets. In a lot 585 00:32:47,320 --> 00:32:49,520 Speaker 2: of ways, you might have a social issue that you're 586 00:32:49,720 --> 00:32:53,640 Speaker 2: impassioned about. But oh my god, wait, I forgot this. 587 00:32:54,360 --> 00:32:57,360 Speaker 2: When one of the last questions was about climate change, 588 00:32:57,400 --> 00:32:59,560 Speaker 2: neither one of them talked about climate change or it 589 00:32:59,600 --> 00:33:02,480 Speaker 2: was I was confused. I forgot we were talking about 590 00:33:02,480 --> 00:33:05,680 Speaker 2: climate change because it turned into Ukraine. I believe at 591 00:33:05,680 --> 00:33:06,400 Speaker 2: one point. 592 00:33:06,440 --> 00:33:08,120 Speaker 1: Doesn't it feel didn't it feel like it was a 593 00:33:08,160 --> 00:33:10,840 Speaker 1: throwaway question we have to ask about climate change? 594 00:33:11,360 --> 00:33:11,400 Speaker 2: It? 595 00:33:12,160 --> 00:33:16,120 Speaker 1: Yeah, we run out of time. We got to get 596 00:33:16,120 --> 00:33:17,840 Speaker 1: this in just to say we're on the record with it. 597 00:33:18,000 --> 00:33:20,800 Speaker 2: Yeah, that is how it felt, and that's exactly how 598 00:33:20,800 --> 00:33:24,800 Speaker 2: the candidates treated it as well. You know, it's it 599 00:33:24,880 --> 00:33:28,720 Speaker 2: is just this. It's just you know, it's it's I heard, 600 00:33:29,200 --> 00:33:31,640 Speaker 2: as I have in so many other debates and all 601 00:33:31,720 --> 00:33:35,000 Speaker 2: the campaign commercials that most of us are subjected to 602 00:33:35,120 --> 00:33:38,600 Speaker 2: these days. But it's all about if this other person's elected, 603 00:33:38,640 --> 00:33:41,800 Speaker 2: your life is going to be in hell. And that 604 00:33:41,960 --> 00:33:45,200 Speaker 2: is basically that's what we heard tonight. Is what we 605 00:33:45,280 --> 00:33:47,840 Speaker 2: hear every time, and it's why we all become so 606 00:33:48,040 --> 00:33:51,520 Speaker 2: I think we just even disassociate from it because it 607 00:33:51,600 --> 00:33:54,120 Speaker 2: just is. It's bs and we all know it. We're 608 00:33:54,160 --> 00:33:57,520 Speaker 2: all smarter than we're treated. I think in these moments, 609 00:33:57,720 --> 00:34:01,760 Speaker 2: I think we're treated as I don't know, easily manipulated 610 00:34:01,760 --> 00:34:03,640 Speaker 2: when I if you, if you go and look on 611 00:34:03,680 --> 00:34:07,480 Speaker 2: the internet, no one's buying it. So I don't know 612 00:34:07,480 --> 00:34:09,840 Speaker 2: how we choose who we vote for these days, because 613 00:34:09,920 --> 00:34:16,480 Speaker 2: it's it is a minefield. But if you vote for 614 00:34:16,480 --> 00:34:19,399 Speaker 2: the other candidate, you're gonna step on a land mine. 615 00:34:19,600 --> 00:34:25,840 Speaker 2: I mean, like, that's where we are, well, Venezuela on steroids, 616 00:34:26,280 --> 00:34:28,799 Speaker 2: this is where we're headed. Then I did just pop 617 00:34:28,880 --> 00:34:35,560 Speaker 2: back in my head. We're Venezuela on steroids. Oh it's tough. 618 00:34:35,480 --> 00:34:40,200 Speaker 1: All right, Well, you know, And I want to say 619 00:34:40,239 --> 00:34:44,799 Speaker 1: in defense one more time of Lindsay and David and 620 00:34:44,880 --> 00:34:47,719 Speaker 1: even of ABC News. Hey, you and I spent a 621 00:34:47,760 --> 00:34:50,680 Speaker 1: long time a networks and I think I speak for you. 622 00:34:50,840 --> 00:34:52,759 Speaker 1: Correct me if I'm wrong. But there's never been a 623 00:34:52,800 --> 00:34:56,480 Speaker 1: single meeting I have ever been in, or a single 624 00:34:56,560 --> 00:35:01,320 Speaker 1: boss that's ever had a conversation with me about doing 625 00:35:01,440 --> 00:35:05,200 Speaker 1: something favoring one side or another when it comes to politics, 626 00:35:05,600 --> 00:35:12,440 Speaker 1: to favor democrats, to lean left has never ever occurred. 627 00:35:13,040 --> 00:35:15,839 Speaker 1: So people always think there's a concerted effort. And now, 628 00:35:15,840 --> 00:35:17,280 Speaker 1: don't get me wrong, there are a lot of folks 629 00:35:17,320 --> 00:35:20,640 Speaker 1: in the building, and I have been in meetings where 630 00:35:20,760 --> 00:35:24,200 Speaker 1: I got twenty people in there and seventeen of them 631 00:35:24,400 --> 00:35:26,839 Speaker 1: think the same way. And maybe you have to get 632 00:35:26,920 --> 00:35:31,520 Speaker 1: them out of that sometimes liberal thinking. But they're not 633 00:35:31,560 --> 00:35:36,280 Speaker 1: doing that intentionally. But there is not a concerted robes 634 00:35:36,320 --> 00:35:38,120 Speaker 1: And if you've seen it, please let me know. A 635 00:35:38,160 --> 00:35:42,640 Speaker 1: concerted effort by networks or media companies at least I've 636 00:35:42,640 --> 00:35:47,080 Speaker 1: been associated with that are trying intentionally and a concerted 637 00:35:47,120 --> 00:35:48,240 Speaker 1: effort to shift a narrative. 638 00:35:48,280 --> 00:35:50,839 Speaker 2: Now, that is absolutely true. And I've always said that 639 00:35:51,320 --> 00:35:55,920 Speaker 2: I've never felt pressured or even nudged or a suggestion 640 00:35:56,080 --> 00:35:59,600 Speaker 2: even made that I don't ask a question or I 641 00:35:59,640 --> 00:36:02,520 Speaker 2: go live or on someone because of their political affiliation. 642 00:36:02,640 --> 00:36:07,080 Speaker 2: That's never happened. And in fact, I feel like there 643 00:36:07,120 --> 00:36:09,399 Speaker 2: was almost even a pressure to do the opposite, to 644 00:36:09,560 --> 00:36:14,520 Speaker 2: make sure we are aware of any potential bias and 645 00:36:14,520 --> 00:36:17,080 Speaker 2: and and make sure we go in the other direction. 646 00:36:17,520 --> 00:36:20,799 Speaker 2: And I'll you know, I've always appreciated this too, just 647 00:36:21,280 --> 00:36:23,759 Speaker 2: with my upbringing, and I can speak for myself that 648 00:36:24,440 --> 00:36:29,040 Speaker 2: knowing and loving people who have different political beliefs than myself. 649 00:36:30,600 --> 00:36:33,000 Speaker 2: Has always helped guide me. And I've always leaned on 650 00:36:33,080 --> 00:36:35,280 Speaker 2: those folks in my life who I love and respect 651 00:36:36,320 --> 00:36:38,880 Speaker 2: to know, Hey, is this a fair question? Is this 652 00:36:39,560 --> 00:36:41,520 Speaker 2: taking it too far? Is this not going far enough? 653 00:36:41,520 --> 00:36:46,560 Speaker 2: And I think a lot of us journalists absolutely do 654 00:36:46,719 --> 00:36:50,520 Speaker 2: what we can to make sure that we try to 655 00:36:50,560 --> 00:36:53,200 Speaker 2: be as fair as possible. And and that goes without saying. 656 00:36:53,640 --> 00:36:56,640 Speaker 2: I know David, I know Lindsay, and I know both 657 00:36:56,680 --> 00:37:01,520 Speaker 2: of them hold those same standards for themselves and each 658 00:37:01,520 --> 00:37:02,880 Speaker 2: and every day. I mean, David and I have had 659 00:37:02,920 --> 00:37:07,080 Speaker 2: conversations about it, so I know that they prepared and 660 00:37:07,160 --> 00:37:10,120 Speaker 2: did their best. And anytime you're put in that position, 661 00:37:10,880 --> 00:37:14,000 Speaker 2: in that big of a seat, in that where the 662 00:37:14,040 --> 00:37:16,319 Speaker 2: stakes are as high as they are, you're always going 663 00:37:16,400 --> 00:37:20,280 Speaker 2: to get criticism always, and it just comes with a job. 664 00:37:20,480 --> 00:37:23,719 Speaker 2: And that's part of that's part of what we do. 665 00:37:23,880 --> 00:37:28,040 Speaker 2: And it's not easy. It's not easy when the world's watching. 666 00:37:29,719 --> 00:37:33,000 Speaker 1: If those two were on the podcast for debate, won't 667 00:37:33,040 --> 00:37:34,000 Speaker 1: be your first question to. 668 00:37:34,040 --> 00:37:40,040 Speaker 2: Him, Oh, that's a good question. My first question. 669 00:37:41,680 --> 00:37:44,280 Speaker 1: To the two of them sitting in an intimate studio 670 00:37:44,560 --> 00:37:48,000 Speaker 1: doing a podcast, not in that, not in that environment. 671 00:37:48,000 --> 00:37:50,320 Speaker 1: But but to be able to sit across the table 672 00:37:50,360 --> 00:37:53,200 Speaker 1: from them, I think that studio with them sitting next 673 00:37:53,239 --> 00:37:53,960 Speaker 1: to each other. 674 00:37:54,520 --> 00:37:57,920 Speaker 2: I think I would ask them, you know, assuming have 675 00:37:58,000 --> 00:38:01,000 Speaker 2: you watched the debate back, what's the question you wish 676 00:38:01,080 --> 00:38:07,520 Speaker 2: you had asked that you didn't? What would you ask them? 677 00:38:07,719 --> 00:38:09,719 Speaker 1: Wait? What's two people you're talking about? I'm talking about 678 00:38:09,760 --> 00:38:10,280 Speaker 1: the candidates? 679 00:38:10,280 --> 00:38:12,640 Speaker 2: Oh, I thought you're talking about David and Lindsay. We're 680 00:38:12,680 --> 00:38:14,400 Speaker 2: talking to them about Carol. 681 00:38:15,200 --> 00:38:17,040 Speaker 1: We can text them right now and ask them a 682 00:38:17,040 --> 00:38:19,200 Speaker 1: couple of questions. You damn about those two. 683 00:38:19,280 --> 00:38:21,480 Speaker 2: Oh? As I thought you were asking me like journalists 684 00:38:21,520 --> 00:38:22,080 Speaker 2: to journalists. 685 00:38:22,120 --> 00:38:24,600 Speaker 1: As everybody know that it was really late as we 686 00:38:24,600 --> 00:38:28,680 Speaker 1: were going there, so we're a little off. Yeah, the 687 00:38:28,719 --> 00:38:34,719 Speaker 1: candidates Trump and Kamala Harris our guest. We're doing the 688 00:38:34,719 --> 00:38:36,080 Speaker 1: debate on our podcast. 689 00:38:36,400 --> 00:38:39,239 Speaker 2: You're asking me to do that without any prep or 690 00:38:39,239 --> 00:38:45,000 Speaker 2: any first question. First question, I mean, the first thing 691 00:38:45,040 --> 00:38:46,960 Speaker 2: that pops in my head would be, you know, tell 692 00:38:47,000 --> 00:38:49,680 Speaker 2: me why I should vote for you. But that's so generic. 693 00:38:49,760 --> 00:38:51,799 Speaker 2: I don't you're asked. You're putting me on the spot 694 00:38:51,880 --> 00:38:54,000 Speaker 2: right now. I would want to do a lot of prayer. 695 00:38:54,200 --> 00:38:56,279 Speaker 2: Do you have your first question to both of them, Well, 696 00:38:56,280 --> 00:38:56,880 Speaker 2: I've had. 697 00:38:56,719 --> 00:38:59,760 Speaker 1: A long time to think about it now, because go ahead. 698 00:39:00,040 --> 00:39:02,879 Speaker 1: You know what I would ask both of them, would 699 00:39:02,880 --> 00:39:05,160 Speaker 1: you two be willing to go to dinner tonight together? 700 00:39:07,520 --> 00:39:08,200 Speaker 1: I think I would. 701 00:39:09,080 --> 00:39:10,239 Speaker 2: And what do you think they'd say? 702 00:39:10,320 --> 00:39:13,400 Speaker 1: I don't know, and you don't either. Right, that's a 703 00:39:13,440 --> 00:39:16,960 Speaker 1: good question, but no, I say it because we talked 704 00:39:16,960 --> 00:39:18,919 Speaker 1: about them shaking hands. We were wondered if they would 705 00:39:18,960 --> 00:39:23,239 Speaker 1: even shake hands. I want two candidates on stage or 706 00:39:23,360 --> 00:39:27,879 Speaker 1: three or whatever that will step out there, hug each other, 707 00:39:28,120 --> 00:39:29,920 Speaker 1: look at each other and that, ah, how is your 708 00:39:29,960 --> 00:39:32,719 Speaker 1: family doing? Now, let's go out here and argue about 709 00:39:32,760 --> 00:39:37,319 Speaker 1: some shit and then we're still good people. That's what 710 00:39:37,719 --> 00:39:42,000 Speaker 1: I hate, hate that all of our political candidates, I 711 00:39:42,040 --> 00:39:45,200 Speaker 1: could never imagine them just standing around being cordial to 712 00:39:45,200 --> 00:39:47,640 Speaker 1: each other, being nice to each other, like everybody hates 713 00:39:48,360 --> 00:39:51,239 Speaker 1: each other. If those two could sit down and have 714 00:39:51,320 --> 00:39:55,280 Speaker 1: a dinner, just talk nobody, no cameras around, no aids, 715 00:39:55,520 --> 00:39:59,040 Speaker 1: y'all just go sit in chat. Not to work anything out. 716 00:39:59,239 --> 00:40:01,760 Speaker 1: I just want to know that we got decent people 717 00:40:01,760 --> 00:40:04,239 Speaker 1: who can be decent to each other. And I'm having 718 00:40:04,280 --> 00:40:06,359 Speaker 1: to decide between those two folks. 719 00:40:06,200 --> 00:40:10,080 Speaker 2: I actually think if the cameras weren't rolling, I think 720 00:40:10,120 --> 00:40:13,279 Speaker 2: they would and could because I think that's this is 721 00:40:13,360 --> 00:40:16,760 Speaker 2: how unfortunately, elections are won and lost in this country, 722 00:40:17,239 --> 00:40:20,279 Speaker 2: and it's by who can scare the you know, their 723 00:40:20,320 --> 00:40:23,439 Speaker 2: base into voting against the other person more versus here's 724 00:40:23,440 --> 00:40:26,040 Speaker 2: why you should vote for me, And that's just where 725 00:40:26,080 --> 00:40:29,040 Speaker 2: we are. And so because you have to operate in 726 00:40:29,080 --> 00:40:32,880 Speaker 2: that way, and if you don't, you lose. Then in 727 00:40:32,960 --> 00:40:35,200 Speaker 2: terms of public appearances, you have to put up a 728 00:40:35,239 --> 00:40:37,919 Speaker 2: fight and you have to make it look that us 729 00:40:38,040 --> 00:40:42,080 Speaker 2: versus them mentality is what works unfortunately. But yeah, if 730 00:40:42,080 --> 00:40:44,400 Speaker 2: the cameras were gone, I think they probably would have 731 00:40:44,440 --> 00:40:47,319 Speaker 2: a lot in common. They know what it's like to 732 00:40:47,320 --> 00:40:49,840 Speaker 2: be in the situations they're in and all this bullshit 733 00:40:49,920 --> 00:40:52,040 Speaker 2: and all these games they have to play. That's why 734 00:40:52,080 --> 00:40:55,360 Speaker 2: I think, you see, think about it all the former presidents. 735 00:40:55,440 --> 00:41:00,560 Speaker 2: Once they've done their service, it doesn't matter how politically 736 00:41:00,560 --> 00:41:03,640 Speaker 2: opposed they were, or how different their policies or their 737 00:41:03,680 --> 00:41:08,040 Speaker 2: beliefs may be. They all have this shared experience and 738 00:41:08,080 --> 00:41:12,240 Speaker 2: they have this friendship. Don't you love seeing Clinton hanging 739 00:41:12,239 --> 00:41:15,799 Speaker 2: out with the Bushes, hanging out with the Obamas. It 740 00:41:15,840 --> 00:41:18,920 Speaker 2: gives you hope, like, oh, maybe they didn't all actually 741 00:41:19,000 --> 00:41:23,320 Speaker 2: hate each other. We didn't, and it was political theater 742 00:41:23,719 --> 00:41:25,440 Speaker 2: and that's what sucks and now it. 743 00:41:25,600 --> 00:41:28,799 Speaker 1: Never if we were doing a debate on national television, 744 00:41:29,080 --> 00:41:31,960 Speaker 1: I would never lead with that question. But sitting in 745 00:41:32,040 --> 00:41:35,279 Speaker 1: a studio in a in an intimate space like we 746 00:41:35,360 --> 00:41:39,480 Speaker 1: have in the podcast world, I see them as human 747 00:41:39,520 --> 00:41:41,000 Speaker 1: beings versus two. 748 00:41:42,120 --> 00:41:44,640 Speaker 2: You could ask each of them to say three nice 749 00:41:44,680 --> 00:41:45,560 Speaker 2: things about the other. 750 00:41:45,760 --> 00:41:49,600 Speaker 1: Oh man, how about that? Oh wow, Okay, you play 751 00:41:49,640 --> 00:41:50,759 Speaker 1: the role of Trump. 752 00:41:53,080 --> 00:41:55,880 Speaker 2: But you know, like and you can't do some you 753 00:41:55,920 --> 00:41:59,040 Speaker 2: know little. You actually have to say three genuine things 754 00:41:59,040 --> 00:42:01,880 Speaker 2: that you believe that are kind and good about the 755 00:42:01,920 --> 00:42:02,400 Speaker 2: other person. 756 00:42:03,600 --> 00:42:05,880 Speaker 1: You know what, Everybody out there, challenge yourself to do 757 00:42:05,960 --> 00:42:09,480 Speaker 1: that about the candidate that you're not supporting. Think of 758 00:42:09,520 --> 00:42:12,319 Speaker 1: three things you can say nice about that candidate that 759 00:42:12,320 --> 00:42:14,880 Speaker 1: you're not supporting. Just curious how that would go. 760 00:42:15,000 --> 00:42:17,120 Speaker 2: It's your homework for the day, all. 761 00:42:17,080 --> 00:42:20,919 Speaker 1: Right, folks, who appreciate you as always Amy and TJ. 762 00:42:21,000 --> 00:42:22,840 Speaker 1: Here you know where to find us official show page, 763 00:42:22,840 --> 00:42:26,000 Speaker 1: that Amy and TJ podcast. We'll talk to yall sooner.