1 00:00:00,680 --> 00:00:06,240 Speaker 1: Hey guys, I'm back about an hour of sleep. Normally 2 00:00:06,559 --> 00:00:09,840 Speaker 1: the show with normalist takes for when the news gets weird. 3 00:00:09,880 --> 00:00:10,960 Speaker 1: I'm Mary Catherine Ham. 4 00:00:11,039 --> 00:00:14,400 Speaker 2: And I'm Carol Markowitz. Good morning, Mary Catherine. How are you. 5 00:00:14,800 --> 00:00:17,319 Speaker 1: I'm good. You know, it was a big night. I 6 00:00:17,440 --> 00:00:20,880 Speaker 1: was up till three point thirty on air Fox Broadcast, 7 00:00:20,960 --> 00:00:22,520 Speaker 1: and then I slept for an hour and a half. 8 00:00:22,760 --> 00:00:26,440 Speaker 2: Wow, you looked amazing on air. Green is very much 9 00:00:26,440 --> 00:00:29,320 Speaker 2: your color. I think green and pink are your two colors. 10 00:00:28,960 --> 00:00:31,760 Speaker 1: Are I'm going to keep it in mind. I liked it. 11 00:00:31,960 --> 00:00:34,239 Speaker 1: I've gone full blazer. Now I'm like a real grown up. 12 00:00:35,760 --> 00:00:40,000 Speaker 2: So we are here the morning after the election. It's 13 00:00:40,040 --> 00:00:43,000 Speaker 2: actually afternoon. You don't know how to tell time anymore. 14 00:00:44,400 --> 00:00:47,120 Speaker 2: It was quite a night. It was quite a night. 15 00:00:47,680 --> 00:00:49,279 Speaker 2: Did it go the way you thought it was going 16 00:00:49,360 --> 00:00:49,559 Speaker 2: to go? 17 00:00:50,400 --> 00:00:55,160 Speaker 1: So two things. I predicted that Trump would win. I 18 00:00:55,160 --> 00:00:59,720 Speaker 1: thought every data point is pointing toward him being on 19 00:00:59,800 --> 00:01:01,800 Speaker 1: bed better footing than he was in twenty twenty, and 20 00:01:01,880 --> 00:01:05,119 Speaker 1: in some cases better footing than twenty sixteen. And then 21 00:01:05,160 --> 00:01:08,520 Speaker 1: I prayed for a decisive win. But that was not databased. 22 00:01:08,560 --> 00:01:10,039 Speaker 1: I just was like, I think that would be good 23 00:01:10,080 --> 00:01:10,680 Speaker 1: for the country. 24 00:01:10,800 --> 00:01:11,959 Speaker 2: That would be good for the country. 25 00:01:12,040 --> 00:01:14,520 Speaker 1: Ye, And it turns out we got both of those things, 26 00:01:14,600 --> 00:01:19,040 Speaker 1: because now we have a decisive electoral college win for Trump. 27 00:01:19,640 --> 00:01:23,160 Speaker 1: And is it official that there will be likely the 28 00:01:23,720 --> 00:01:25,920 Speaker 1: popular vote as well. I don't know it will be 29 00:01:25,959 --> 00:01:28,479 Speaker 1: official for a long time because California has to count 30 00:01:28,480 --> 00:01:35,000 Speaker 1: ballots for like eighteen weeks or something. But I do 31 00:01:35,080 --> 00:01:38,160 Speaker 1: think that is good for public trust. It is good 32 00:01:38,160 --> 00:01:41,320 Speaker 1: for all of us to avoid having a big constitutional 33 00:01:41,360 --> 00:01:45,800 Speaker 1: crisis and shit about the outcome of the election. And 34 00:01:46,560 --> 00:01:51,760 Speaker 1: I was surprised by how so many things moved read 35 00:01:52,440 --> 00:01:54,920 Speaker 1: thanks to Donald Trump at the top of the ticket, 36 00:01:55,440 --> 00:02:00,720 Speaker 1: including up to now fifty three Senate seats, like possibly 37 00:02:00,760 --> 00:02:04,200 Speaker 1: more by tomorrow because it's going to take a little while. 38 00:02:04,280 --> 00:02:07,560 Speaker 1: In Pennsylvania, where Dave McCormick has a lead. 39 00:02:08,040 --> 00:02:11,400 Speaker 2: Shocking that one I only learned right before going on air. 40 00:02:11,520 --> 00:02:15,240 Speaker 2: Right now, I hadn't realized that he was a possibility. 41 00:02:15,240 --> 00:02:18,120 Speaker 1: That's amazing. He ran an extremely good campaign against an 42 00:02:18,160 --> 00:02:21,240 Speaker 1: incumbent who's just been a wet dish rag for a 43 00:02:21,240 --> 00:02:25,680 Speaker 1: long time. And then in Nevada, it's also possible that 44 00:02:25,720 --> 00:02:30,480 Speaker 1: Sam Brown could prevail there. I think I think Wisconsin 45 00:02:30,520 --> 00:02:34,240 Speaker 1: and Michigan are less likely. But these are results that 46 00:02:35,320 --> 00:02:37,040 Speaker 1: are very sunny for Republicans. 47 00:02:37,320 --> 00:02:41,240 Speaker 2: Yeah, and again, like you said, decisive. But it's a 48 00:02:41,280 --> 00:02:45,760 Speaker 2: little afternoon on the day after election, and Kamala Harris 49 00:02:46,120 --> 00:02:47,360 Speaker 2: has not conceded. 50 00:02:48,600 --> 00:02:49,320 Speaker 1: Is this. 51 00:02:51,000 --> 00:02:54,160 Speaker 2: Are we going to have a media handwringing about how 52 00:02:54,919 --> 00:02:58,800 Speaker 2: she destroyed our process and nobody can trust anything anymore 53 00:02:58,840 --> 00:02:59,359 Speaker 2: because of her? 54 00:03:00,360 --> 00:03:03,520 Speaker 1: We will, we will not. I don't think there's anything 55 00:03:03,560 --> 00:03:07,200 Speaker 1: really a foot here. I think they're just getting it together. 56 00:03:08,360 --> 00:03:09,239 Speaker 1: That's close. 57 00:03:09,680 --> 00:03:11,040 Speaker 2: It's it's just that close. 58 00:03:11,280 --> 00:03:14,000 Speaker 1: Yeah, if it were me, i'd do it in the 59 00:03:14,000 --> 00:03:15,400 Speaker 1: morning because I'd wanted to get it over with. 60 00:03:15,639 --> 00:03:19,480 Speaker 2: But yeah, maybe then right, like just yes, super. 61 00:03:19,240 --> 00:03:21,280 Speaker 1: Late news cycle, let me just jump in at three 62 00:03:21,320 --> 00:03:23,720 Speaker 1: in the morning. I might do that. I don't like 63 00:03:23,760 --> 00:03:25,960 Speaker 1: the thing where anyone leaves their supporters hanging at a 64 00:03:26,000 --> 00:03:29,920 Speaker 1: party like that without without like giving them a little something. 65 00:03:31,480 --> 00:03:34,680 Speaker 1: So I don't love that. Uh, we should, I should 66 00:03:34,760 --> 00:03:37,000 Speaker 1: be clear. I must say that Trump can't really complain 67 00:03:37,000 --> 00:03:38,360 Speaker 1: about the time she concedes. 68 00:03:38,680 --> 00:03:43,000 Speaker 2: Yes, all true, Yes, but again, they've they've been like, 69 00:03:43,240 --> 00:03:44,840 Speaker 2: we are the party that. 70 00:03:44,800 --> 00:03:46,200 Speaker 1: Concedes when we lose an. 71 00:03:46,160 --> 00:03:49,360 Speaker 2: Election, and we would never do what he's done. You know, 72 00:03:49,800 --> 00:03:52,600 Speaker 2: well there they have done similar things. You know, Hillary 73 00:03:52,640 --> 00:03:57,560 Speaker 2: Clinton called his election, uh, you know, basically unfair and 74 00:03:58,080 --> 00:04:01,400 Speaker 2: and he was illegitimate for law long time. So they 75 00:04:01,440 --> 00:04:04,160 Speaker 2: have and this again is a little bit of a towel. 76 00:04:04,240 --> 00:04:06,760 Speaker 2: We heard before we went on that she'll be speaking 77 00:04:06,800 --> 00:04:09,720 Speaker 2: tonight at six pm. But that's quite a long time 78 00:04:10,200 --> 00:04:12,120 Speaker 2: after a decisive victory. 79 00:04:12,480 --> 00:04:15,360 Speaker 1: Yeah, just call and get it over, Lea, do it. 80 00:04:15,520 --> 00:04:16,599 Speaker 2: Yeah, just move on. 81 00:04:17,560 --> 00:04:19,840 Speaker 1: I mean, I actually think this is sort of tapping 82 00:04:19,880 --> 00:04:22,480 Speaker 1: into something that I think is a theme of this election, 83 00:04:23,240 --> 00:04:27,640 Speaker 1: which is that I think this was a you're full 84 00:04:27,680 --> 00:04:36,800 Speaker 1: of it electorate. This was a very loud rebuff to 85 00:04:36,839 --> 00:04:40,679 Speaker 1: the left and two media elites saying, I don't believe 86 00:04:40,680 --> 00:04:42,800 Speaker 1: what you're telling me. I can see with my eyes 87 00:04:42,800 --> 00:04:47,720 Speaker 1: that it's not true on any number of issues, and 88 00:04:47,800 --> 00:04:51,840 Speaker 1: yet you continue to lecture me. And I just think 89 00:04:51,880 --> 00:05:00,000 Speaker 1: that whole dynamic, through COVID, through inflation, where everyone's concerned 90 00:05:00,160 --> 00:05:02,719 Speaker 1: about gender issues in schools, when you're told that this 91 00:05:02,839 --> 00:05:05,800 Speaker 1: is nothing you should worry about and that you're the extremist, 92 00:05:06,720 --> 00:05:09,200 Speaker 1: people are annoyed. You're really annoyed. 93 00:05:10,640 --> 00:05:14,159 Speaker 2: Right. One of my friends said that this was revenge 94 00:05:14,160 --> 00:05:16,520 Speaker 2: of the normies, which I think goes very well with 95 00:05:16,839 --> 00:05:19,400 Speaker 2: our podcast. I do think it was the revenge of 96 00:05:19,400 --> 00:05:22,919 Speaker 2: the normies. So many people in my life who either 97 00:05:23,160 --> 00:05:27,760 Speaker 2: were Democrats or Independents but like really didn't vote Republican 98 00:05:27,800 --> 00:05:31,520 Speaker 2: that often voted for Donald Trump, and they did it 99 00:05:31,600 --> 00:05:33,680 Speaker 2: for a variety of reasons. We'll get into the Jewish 100 00:05:33,720 --> 00:05:37,880 Speaker 2: vote in a bit, but I see that as they 101 00:05:38,040 --> 00:05:39,760 Speaker 2: kind of drew a line in the sand and they 102 00:05:39,800 --> 00:05:42,760 Speaker 2: said no more of these last few years, no more 103 00:05:42,800 --> 00:05:45,080 Speaker 2: of this insanity. And we mentioned this on the last episode, 104 00:05:45,120 --> 00:05:48,960 Speaker 2: but Hispanic people really took offense to being called LATINX 105 00:05:49,000 --> 00:05:52,360 Speaker 2: for example. That kind of thing moved them towards Donald Trump. 106 00:05:52,400 --> 00:05:55,919 Speaker 2: I think there's a million little LATINX stories in a 107 00:05:55,960 --> 00:05:58,680 Speaker 2: million different ways that are not getting told and not 108 00:05:58,680 --> 00:06:01,840 Speaker 2: getting surveyed, but that they exist and people are like, 109 00:06:02,320 --> 00:06:03,039 Speaker 2: no more of this. 110 00:06:04,279 --> 00:06:08,120 Speaker 1: Yeah, and I hope that it is. You know, I 111 00:06:08,160 --> 00:06:11,080 Speaker 1: want to be careful about reading my own preferences onto 112 00:06:11,160 --> 00:06:16,080 Speaker 1: this electorate. However, it does seem like this was a 113 00:06:17,240 --> 00:06:21,880 Speaker 1: rebuke to some identity politics that it turns out Latino 114 00:06:21,960 --> 00:06:25,000 Speaker 1: voters don't want to be told that they love illegal 115 00:06:25,040 --> 00:06:27,440 Speaker 1: immigration and that a joke about Puerto Rico is going 116 00:06:27,480 --> 00:06:31,680 Speaker 1: to change their vote. Yeah, Suburban women don't want to 117 00:06:31,680 --> 00:06:35,400 Speaker 1: be told all you care about is abortion and Liz Cheney. 118 00:06:35,960 --> 00:06:39,080 Speaker 1: They're like, I feel like I have other concerns. Black 119 00:06:39,160 --> 00:06:41,480 Speaker 1: voters don't want to be taken for granted and then 120 00:06:41,600 --> 00:06:45,960 Speaker 1: told their ingrades by Saint Barack Obama of Martha's Vineyard. 121 00:06:47,600 --> 00:06:51,120 Speaker 1: They don't like it. Jewish voters don't want to be 122 00:06:51,200 --> 00:06:54,000 Speaker 1: told that they have to tolerate what's happening on college 123 00:06:54,000 --> 00:06:58,560 Speaker 1: campuses in order to be tolerant. I just all they're 124 00:06:58,640 --> 00:07:02,880 Speaker 1: splitting people up and dealing with them in these Balkanized 125 00:07:02,920 --> 00:07:05,120 Speaker 1: sort of ways with these issues that are very one 126 00:07:05,200 --> 00:07:08,520 Speaker 1: note and condescending. Didn't work, That's right. 127 00:07:09,120 --> 00:07:12,640 Speaker 2: Apparently Pulicans won the Puerto Rico governorship. 128 00:07:12,960 --> 00:07:16,000 Speaker 3: That was something that came in last night that to 129 00:07:16,120 --> 00:07:21,280 Speaker 3: me is just such a perfect moment where it's like, oh, 130 00:07:21,600 --> 00:07:23,480 Speaker 3: was that whole news story nothing? 131 00:07:23,600 --> 00:07:26,120 Speaker 1: And by the way, credit to Carol for being more 132 00:07:26,720 --> 00:07:29,200 Speaker 1: dismissive of that news story than I was, because sometimes 133 00:07:29,240 --> 00:07:30,920 Speaker 1: I'll get a little bit like is this a thing? 134 00:07:31,160 --> 00:07:33,440 Speaker 1: When I shouldn't think it's a thing, because it's definitely not, 135 00:07:33,640 --> 00:07:33,960 Speaker 1: and it. 136 00:07:33,880 --> 00:07:37,800 Speaker 2: Could be you know, you never know, somebody that Hispanic 137 00:07:37,920 --> 00:07:42,040 Speaker 2: musician I forgot his name, but you know, rescinded his endorsement. 138 00:07:42,200 --> 00:07:45,640 Speaker 2: I mean, yeah, it's not nothing, but it was mostly nothing. 139 00:07:45,760 --> 00:07:48,440 Speaker 2: It was mostly nothing, and it was grasping its straws. 140 00:07:48,520 --> 00:07:52,040 Speaker 2: By the Harris campaign. We'll be right back on normally. 141 00:07:55,640 --> 00:07:56,360 Speaker 1: The thing that. 142 00:07:56,320 --> 00:07:57,960 Speaker 2: I want them to take away from this, and I 143 00:07:57,960 --> 00:08:01,720 Speaker 2: don't know that they will, is that calling half the 144 00:08:01,760 --> 00:08:07,000 Speaker 2: country racist and sexist and hitler and garbage does not 145 00:08:07,080 --> 00:08:10,440 Speaker 2: work and it's inappropriate. You're dividing us and then you're 146 00:08:10,480 --> 00:08:14,000 Speaker 2: having these conversations like when did we become so divided? Well, oh, 147 00:08:14,040 --> 00:08:16,920 Speaker 2: I know, yeah, it might have been what you've been 148 00:08:16,960 --> 00:08:19,960 Speaker 2: doing in the last few years. So I hope that 149 00:08:20,040 --> 00:08:24,000 Speaker 2: they move forward in a more moderate fashion. I hope 150 00:08:24,040 --> 00:08:27,880 Speaker 2: they kind of push aside the far left of the party. 151 00:08:27,920 --> 00:08:31,880 Speaker 2: I don't know that they can. I will see, but 152 00:08:32,120 --> 00:08:34,960 Speaker 2: that would be my hope that the Democrats do become 153 00:08:35,000 --> 00:08:39,080 Speaker 2: more normal. I'd love to see two sane parties in 154 00:08:39,120 --> 00:08:39,720 Speaker 2: this country. 155 00:08:41,400 --> 00:08:43,680 Speaker 1: This is the gaslighting part of it, right, is that 156 00:08:43,760 --> 00:08:48,200 Speaker 1: they spend all this time very specifically dividing people and 157 00:08:48,280 --> 00:08:50,640 Speaker 1: telling you your trash if you disagree with them, and 158 00:08:50,679 --> 00:08:53,520 Speaker 1: then they're like, someone should really unify us. Why are 159 00:08:53,600 --> 00:08:56,439 Speaker 1: these people dividing us so much? Yea, And again this 160 00:08:56,520 --> 00:08:59,079 Speaker 1: is something that annoys people. I actually noted last night 161 00:08:59,120 --> 00:09:03,160 Speaker 1: on Fox. You know, I think it's cold comfort to 162 00:09:03,440 --> 00:09:06,400 Speaker 1: my Democratic counterparts who were upset, and I understand some 163 00:09:06,440 --> 00:09:09,840 Speaker 1: of their concerns, but they were saying he needs to 164 00:09:09,880 --> 00:09:12,840 Speaker 1: come out and unify with his speech, and like, okay, look, 165 00:09:14,080 --> 00:09:16,040 Speaker 1: you called him a fascist like four days ago. 166 00:09:15,920 --> 00:09:19,560 Speaker 2: So right, I don't think garbage hitler can come out 167 00:09:19,559 --> 00:09:23,040 Speaker 2: and unify with speech. What was he overay that they 168 00:09:23,040 --> 00:09:25,640 Speaker 2: were going to like like abortions for everyone? 169 00:09:26,400 --> 00:09:30,640 Speaker 1: Yeah? Here. But here's the other thing. He has unified people. 170 00:09:31,800 --> 00:09:40,319 Speaker 1: He has unified the most diverse Republican coalition that has existed. 171 00:09:41,360 --> 00:09:47,320 Speaker 1: He has spoken directly to blue constituencies, of minority voters, 172 00:09:48,040 --> 00:09:53,640 Speaker 1: of working class voters, of labor voters, of even some 173 00:09:53,840 --> 00:09:56,800 Speaker 1: suburban women who left the party I came back during 174 00:09:56,800 --> 00:10:00,400 Speaker 1: this election. He has spoken to them and he has 175 00:10:00,520 --> 00:10:06,680 Speaker 1: won them over from liberals. So that was the unifying 176 00:10:06,960 --> 00:10:09,640 Speaker 1: and it created a very decisive victory. 177 00:10:09,960 --> 00:10:10,440 Speaker 2: That's right. 178 00:10:10,760 --> 00:10:14,719 Speaker 1: That might come with a mandate of some kind. And 179 00:10:15,800 --> 00:10:19,320 Speaker 1: that cross pollination of labor voters and minority votes is 180 00:10:19,360 --> 00:10:22,400 Speaker 1: actually healthy for the country because the Republican Party should 181 00:10:22,480 --> 00:10:26,960 Speaker 1: not be not diverse and the Democratic Party should not 182 00:10:27,040 --> 00:10:31,280 Speaker 1: be only urban, elite educated people, and like they need 183 00:10:31,320 --> 00:10:32,000 Speaker 1: to work on this. 184 00:10:32,440 --> 00:10:36,600 Speaker 2: Yeah, that's that's absolutely right. It's an amazing feat and 185 00:10:36,920 --> 00:10:39,520 Speaker 2: Donald Trump deserves a lot of credit for it. I 186 00:10:39,760 --> 00:10:44,320 Speaker 2: have funs, you know, I think that he probably won't 187 00:10:44,360 --> 00:10:46,760 Speaker 2: get it. I think that the media needs to do 188 00:10:46,800 --> 00:10:50,680 Speaker 2: a lot of introspection right now. I'm going to know 189 00:10:50,800 --> 00:10:53,079 Speaker 2: it's not last night. I kept, you know, I'd watch 190 00:10:53,160 --> 00:10:55,200 Speaker 2: you on Fox, but then I'd flipped to MSNBC to 191 00:10:55,240 --> 00:10:58,040 Speaker 2: see how things were going there. Things were going poorly 192 00:10:58,320 --> 00:11:03,160 Speaker 2: very early on so' Donald two different times said that 193 00:11:03,160 --> 00:11:06,840 Speaker 2: the electoral College suppresses the vote, and he pointed to 194 00:11:06,880 --> 00:11:09,400 Speaker 2: places like California or people like it doesn't matter. My 195 00:11:09,440 --> 00:11:11,840 Speaker 2: state's a blue state. Actually, you know, sorry, He pointed 196 00:11:11,880 --> 00:11:14,200 Speaker 2: to Florida and Texas and said, my state doesn't matter, 197 00:11:14,240 --> 00:11:17,120 Speaker 2: my state's a red state. He did not mention California 198 00:11:17,120 --> 00:11:19,079 Speaker 2: and New York, where people are like, my state's a 199 00:11:19,080 --> 00:11:21,800 Speaker 2: blue state and I'm not going to vote. They were 200 00:11:23,040 --> 00:11:28,000 Speaker 2: visibly annoyed obviously, but it would be healthy if they 201 00:11:28,200 --> 00:11:31,240 Speaker 2: looked at what they said last night. And oh he 202 00:11:31,280 --> 00:11:35,040 Speaker 2: also had this great line. Rachel Maddow kept talking about 203 00:11:35,800 --> 00:11:38,640 Speaker 2: bomb threats at a few different polling places, and she 204 00:11:38,720 --> 00:11:41,320 Speaker 2: kept saying, there is no actual bomb, this is just, 205 00:11:42,040 --> 00:11:44,880 Speaker 2: you know, a fake threat. And Laurence o'donald looked at 206 00:11:44,880 --> 00:11:48,080 Speaker 2: the camera and said, we never had bomb threats until 207 00:11:48,120 --> 00:11:53,120 Speaker 2: Donald Trump. Never ever, really, I remember some. 208 00:11:55,400 --> 00:11:57,880 Speaker 1: By the way, some of this exit poll data is 209 00:11:58,320 --> 00:12:03,880 Speaker 1: pretty amazing. Or for anybody who's interested in politics, like 210 00:12:04,000 --> 00:12:07,960 Speaker 1: white suburban women fifty one forty seven for Trump. Now, 211 00:12:07,960 --> 00:12:09,680 Speaker 1: this is the thing that I was seeing among my 212 00:12:09,800 --> 00:12:12,600 Speaker 1: friends and myself who were like, these are the people 213 00:12:12,600 --> 00:12:16,880 Speaker 1: who are ripe for picking off for They're Hailey voters, 214 00:12:17,200 --> 00:12:21,760 Speaker 1: right Haley or DeSantis voters or like centrist, moderate non 215 00:12:21,800 --> 00:12:25,080 Speaker 1: political people that would be the people you're trying to reach. 216 00:12:25,280 --> 00:12:27,720 Speaker 1: And they were falling like dominoes for Trump. And I 217 00:12:27,800 --> 00:12:31,360 Speaker 1: was like, is this predictive? And then about nine thirty 218 00:12:31,440 --> 00:12:35,240 Speaker 1: or so, whenever Louden County came in, and this is 219 00:12:35,440 --> 00:12:37,240 Speaker 1: this is what I mean about the anti woke sort 220 00:12:37,280 --> 00:12:47,599 Speaker 1: of frustration. Louden County Virginia is peak wine mom, highly educated, affluent, 221 00:12:48,720 --> 00:12:53,280 Speaker 1: a lot of government workers, definitely like blue friendly for sure, 222 00:12:54,160 --> 00:12:58,240 Speaker 1: and Biden won that county by twenty five points. I 223 00:12:58,280 --> 00:13:01,640 Speaker 1: think there was a nine or ten points wing last night, 224 00:13:02,080 --> 00:13:04,120 Speaker 1: and that comes from a couple of things. One youngkin, 225 00:13:04,520 --> 00:13:07,360 Speaker 1: the competent governor of Virginia, has a nice operation on 226 00:13:07,400 --> 00:13:10,280 Speaker 1: the ground that was clearly at work, and has some 227 00:13:10,400 --> 00:13:15,040 Speaker 1: fans that he cultivated in that demographic. Also, though, they 228 00:13:15,040 --> 00:13:22,360 Speaker 1: were animated by an absolutely radical, unaccountable school board in 229 00:13:22,400 --> 00:13:26,960 Speaker 1: that county that hid sexual assaults in an attempt to 230 00:13:27,160 --> 00:13:32,160 Speaker 1: save gender related trans policies in the school system that 231 00:13:32,200 --> 00:13:35,800 Speaker 1: they wanted to get through. And then they arrested the 232 00:13:35,800 --> 00:13:40,000 Speaker 1: man whose child was assaulted because he came to a 233 00:13:40,000 --> 00:13:42,800 Speaker 1: public meeting and got mad at them about it. It 234 00:13:43,000 --> 00:13:49,600 Speaker 1: was a mind blowing microcosm of why parents were so angry. 235 00:13:49,640 --> 00:13:53,240 Speaker 1: And so I think they're sick of being bullied. It's 236 00:13:53,280 --> 00:13:56,480 Speaker 1: sick of being lectured. And when I saw that county, 237 00:13:56,480 --> 00:13:59,560 Speaker 1: I was like, this is not working for her, and 238 00:13:59,600 --> 00:14:01,240 Speaker 1: I don't think it's going to work in the blue wall. 239 00:14:02,720 --> 00:14:05,800 Speaker 2: So Virginia was really close last night. How close was it? 240 00:14:06,840 --> 00:14:08,560 Speaker 1: I would have to look up the latest, but it 241 00:14:08,640 --> 00:14:11,559 Speaker 1: was like under two points. I think I thought it 242 00:14:11,600 --> 00:14:13,720 Speaker 1: would be closer than it pulled. It pulled at about 243 00:14:13,800 --> 00:14:16,520 Speaker 1: seven to ten points difference. I thought it'd be closer 244 00:14:16,559 --> 00:14:18,800 Speaker 1: than that. But I did not think that it was 245 00:14:18,840 --> 00:14:22,200 Speaker 1: going to be uncalled at midnight one am. I mean, 246 00:14:22,280 --> 00:14:25,960 Speaker 1: that's just that's disaster territory for Democrats. 247 00:14:26,240 --> 00:14:29,880 Speaker 2: Yeah, so as we're talking right now, Arizona and Michigan 248 00:14:29,960 --> 00:14:32,600 Speaker 2: still haven't been called, which again I don't know what 249 00:14:32,680 --> 00:14:36,080 Speaker 2: they're doing over there. If Florida was like done last night, 250 00:14:36,280 --> 00:14:37,640 Speaker 2: wrapped it all up, we all went. 251 00:14:37,600 --> 00:14:42,760 Speaker 1: To bed, and really it's embarrassing if you're going to 252 00:14:43,000 --> 00:14:46,040 Speaker 1: be the person in charge of how will you count votes? Like, 253 00:14:46,120 --> 00:14:49,320 Speaker 1: let's just do it in a way that gives people faith, 254 00:14:49,360 --> 00:14:52,560 Speaker 1: as Florida does. And that's something Jeb deserves a ton 255 00:14:52,600 --> 00:14:56,160 Speaker 1: of credit for figuring out after two thousand and it 256 00:14:56,360 --> 00:14:58,000 Speaker 1: can be done again. 257 00:14:58,200 --> 00:15:01,640 Speaker 2: We require ID and your signature has to match. So 258 00:15:01,720 --> 00:15:04,200 Speaker 2: for those of us who scribble our signature like I do, 259 00:15:05,160 --> 00:15:06,920 Speaker 2: they make me redo it. They're like, no, it has 260 00:15:06,960 --> 00:15:09,360 Speaker 2: to match your ID, lady, and I have to like, okay, yes, 261 00:15:09,440 --> 00:15:12,800 Speaker 2: I will carefully do my signature to match the scribble 262 00:15:12,840 --> 00:15:13,280 Speaker 2: on the ID. 263 00:15:13,880 --> 00:15:16,200 Speaker 1: Did you see that? In Nevada? There was a little 264 00:15:16,360 --> 00:15:18,720 Speaker 1: undercard story. I don't know how big it was, but 265 00:15:18,760 --> 00:15:23,400 Speaker 1: they were trying to they were trying to match signatures 266 00:15:23,440 --> 00:15:27,440 Speaker 1: for young voters. But young voters don't have signatures because 267 00:15:27,440 --> 00:15:30,560 Speaker 1: they never have to write their names right, and so 268 00:15:30,640 --> 00:15:33,720 Speaker 1: they were unable to match them because the young people 269 00:15:33,760 --> 00:15:36,280 Speaker 1: are like, what do I I just write my name? 270 00:15:36,520 --> 00:15:37,080 Speaker 2: Yeah? 271 00:15:37,320 --> 00:15:39,840 Speaker 1: Right, Like how does this work? 272 00:15:40,120 --> 00:15:40,320 Speaker 2: Right? 273 00:15:41,280 --> 00:15:42,080 Speaker 1: So wild? 274 00:15:42,520 --> 00:15:46,840 Speaker 2: Speaking of the age gap, it looks like Generation X 275 00:15:47,080 --> 00:15:51,120 Speaker 2: delivered the selection for Donald Trump, which is awesome because 276 00:15:51,200 --> 00:15:55,640 Speaker 2: I love our generation. I'm looking at the age breakdown 277 00:15:55,680 --> 00:15:59,600 Speaker 2: of this one of the last exit poles, I mean exitpoles, 278 00:15:59,600 --> 00:16:02,320 Speaker 2: obviously taken with a large grain of salt. And again 279 00:16:02,360 --> 00:16:03,920 Speaker 2: I'm going to talk about the Jewish vote in a minute, 280 00:16:03,920 --> 00:16:07,080 Speaker 2: which I think the exepolure are not getting correct. But 281 00:16:07,440 --> 00:16:10,920 Speaker 2: eighteen to twenty nine Harrison won it by like thirteen points. 282 00:16:11,200 --> 00:16:14,800 Speaker 2: Thirty to forty four she wins it by five points, 283 00:16:14,920 --> 00:16:17,920 Speaker 2: and then forty five to sixty four we bring the 284 00:16:17,960 --> 00:16:21,480 Speaker 2: heat and eight point you know, for Donald Trump, and 285 00:16:21,520 --> 00:16:23,600 Speaker 2: then sixty and older she also she only won that 286 00:16:23,640 --> 00:16:27,400 Speaker 2: by one point, but yeah, it's interesting that Generation X 287 00:16:27,440 --> 00:16:29,840 Speaker 2: said no more, We're going to take a short break 288 00:16:29,840 --> 00:16:31,320 Speaker 2: and come right back with normally. 289 00:16:35,160 --> 00:16:39,680 Speaker 1: So I'm a cusp millennial gen X her. I feel 290 00:16:39,680 --> 00:16:43,360 Speaker 1: like I'm spiritually sort of gen X. Yeah, and I'm 291 00:16:43,400 --> 00:16:46,520 Speaker 1: a very old millennial if I count. But I think 292 00:16:46,560 --> 00:16:53,640 Speaker 1: there's a combination of low tolerance for woosy woke social 293 00:16:53,640 --> 00:16:58,840 Speaker 1: emotional learning nonsense and gen X plus I'm going to 294 00:16:58,920 --> 00:17:02,120 Speaker 1: throw this in there, but again, I might be projecting 295 00:17:02,120 --> 00:17:05,840 Speaker 1: my need to see COVID consequences. But gen X was 296 00:17:05,880 --> 00:17:07,600 Speaker 1: parenting during COVID. That's it. 297 00:17:08,119 --> 00:17:10,320 Speaker 2: I really do think that's it. And I think that's 298 00:17:10,320 --> 00:17:13,240 Speaker 2: so much of that. You know, nobody ever got punished 299 00:17:13,240 --> 00:17:16,359 Speaker 2: for it, but this is kind of we're all still 300 00:17:16,359 --> 00:17:17,919 Speaker 2: holding on to it in a lot of ways. When 301 00:17:17,960 --> 00:17:20,200 Speaker 2: I talk to people, they are still mad about it. 302 00:17:20,920 --> 00:17:25,000 Speaker 2: People who had young kids during that time are pissed off. 303 00:17:25,040 --> 00:17:27,160 Speaker 2: And this is the second time I'm going to quote 304 00:17:27,160 --> 00:17:30,520 Speaker 2: our friend John Ekdel on the show, but he said, 305 00:17:30,840 --> 00:17:34,119 Speaker 2: you know, somebody said, why why did gen X carry 306 00:17:34,119 --> 00:17:37,600 Speaker 2: this election? And he said, tweeted, because we grew up 307 00:17:37,640 --> 00:17:39,639 Speaker 2: drinking water from a garden hose and then you made 308 00:17:39,720 --> 00:17:41,440 Speaker 2: us wear Masks Outdoors. 309 00:17:41,440 --> 00:17:42,040 Speaker 1: Which faired. 310 00:17:42,920 --> 00:17:43,120 Speaker 2: Right. 311 00:17:43,840 --> 00:17:48,200 Speaker 1: Did you see the young men numbers eighteen to twenty 312 00:17:48,240 --> 00:17:52,520 Speaker 1: nine male Harris plus two, which you know you would 313 00:17:52,520 --> 00:17:54,640 Speaker 1: expect her to win young people by sure a lot 314 00:17:54,640 --> 00:17:59,679 Speaker 1: more than that, right, eighteen twenty nine female Harris plus 315 00:17:59,720 --> 00:18:03,840 Speaker 1: I think twenty seven. So there's a large gender gap there. 316 00:18:04,440 --> 00:18:08,560 Speaker 1: But it also shows, and you could tell last night 317 00:18:08,560 --> 00:18:11,000 Speaker 1: that they weren't getting from college towns what they thought 318 00:18:11,000 --> 00:18:13,240 Speaker 1: they were going to get. They were seeing these huge lines, 319 00:18:13,720 --> 00:18:16,240 Speaker 1: but it may be that a lot of those people 320 00:18:16,840 --> 00:18:19,119 Speaker 1: were not voting the way that they wanted them to 321 00:18:19,240 --> 00:18:21,760 Speaker 1: vote that they assumed they would. Those were taken for granted. 322 00:18:22,280 --> 00:18:25,639 Speaker 1: And Donald Trump, I think with the help of Baron Trump, 323 00:18:25,680 --> 00:18:29,960 Speaker 1: I think he was the podcast mastermind. Yeah, he said, Dad, 324 00:18:30,000 --> 00:18:33,560 Speaker 1: you need to go on these podcasts. And look, I 325 00:18:33,600 --> 00:18:36,320 Speaker 1: don't know how much. That was always the question for me, 326 00:18:36,440 --> 00:18:39,320 Speaker 1: is there a pipeline that they're actually making from Theovan's 327 00:18:39,359 --> 00:18:43,040 Speaker 1: podcast or Joe Rogan's podcast two Ballot Booth. And it 328 00:18:43,119 --> 00:18:46,320 Speaker 1: seems to me that something worked here, whether it was 329 00:18:46,400 --> 00:18:49,080 Speaker 1: Rogan's endorsement or just hitting them several times. I think 330 00:18:49,119 --> 00:18:52,800 Speaker 1: the campaign's hitting Rogan like basically three times because they 331 00:18:52,800 --> 00:18:58,440 Speaker 1: didn't Trump, then Elon Man, then Elon Musk. Theovon had 332 00:18:58,480 --> 00:19:01,920 Speaker 1: both the candidate and the vice president or vice presidential 333 00:19:01,920 --> 00:19:07,359 Speaker 1: candidate on. They hit enough times that these guys got 334 00:19:07,359 --> 00:19:10,600 Speaker 1: the message. And I mentioned the Twitch streaming and that, 335 00:19:10,640 --> 00:19:13,760 Speaker 1: you know, I think he is clued into things that 336 00:19:13,960 --> 00:19:17,240 Speaker 1: can just be cute side shows. But they pulled them 337 00:19:17,280 --> 00:19:18,080 Speaker 1: off right. 338 00:19:18,400 --> 00:19:21,680 Speaker 2: I wonder what they could have done to have appealed 339 00:19:21,720 --> 00:19:23,960 Speaker 2: to young women more, and I don't know what that 340 00:19:24,000 --> 00:19:26,639 Speaker 2: could be. Donald Trump is pretty moderate on abortion is 341 00:19:26,680 --> 00:19:27,200 Speaker 2: the other thing. 342 00:19:27,240 --> 00:19:28,480 Speaker 1: It's like, you know, the. 343 00:19:28,440 --> 00:19:32,919 Speaker 2: Republican Party gets tarred as being very anti abortion, but 344 00:19:32,960 --> 00:19:38,000 Speaker 2: the candidate wasn't, and so the ads against the party 345 00:19:38,040 --> 00:19:40,280 Speaker 2: really didn't make that much sense. Project twenty twenty five. 346 00:19:40,359 --> 00:19:44,240 Speaker 2: Remember that guy is like Donald Trump's plan to remake 347 00:19:44,240 --> 00:19:46,080 Speaker 2: the country that he kept saying, I have nothing to 348 00:19:46,119 --> 00:19:49,600 Speaker 2: do with this plan. I don't know that they hit 349 00:19:49,680 --> 00:19:52,600 Speaker 2: him correctly, but I wonder what he could have done 350 00:19:52,720 --> 00:19:56,359 Speaker 2: to appeal to this younger female demographic. And I wonder 351 00:19:56,600 --> 00:19:57,960 Speaker 2: maybe using millennium more. 352 00:19:58,359 --> 00:20:00,520 Speaker 1: I'm not sure, whatever it is, it would help those 353 00:20:00,560 --> 00:20:03,280 Speaker 1: folks date each other in the future. They're going to be. 354 00:20:04,200 --> 00:20:06,080 Speaker 2: How are these crazy kids going to get together. 355 00:20:06,240 --> 00:20:08,040 Speaker 1: I do you feel like there's a there's a little 356 00:20:08,080 --> 00:20:11,080 Speaker 1: bit of backlash on the sort of self censorship and 357 00:20:11,359 --> 00:20:16,040 Speaker 1: woke stuff in that generation and a little younger where 358 00:20:16,040 --> 00:20:18,240 Speaker 1: they're starting to go like, I don't know, I don't 359 00:20:18,520 --> 00:20:20,320 Speaker 1: I don't know if I want you to dictate everything 360 00:20:20,440 --> 00:20:23,159 Speaker 1: I say. So, maybe there's like light here that they'll 361 00:20:23,200 --> 00:20:26,879 Speaker 1: take politics a little bit less life and deathy and 362 00:20:26,920 --> 00:20:28,880 Speaker 1: that would be nice to talk to each other. 363 00:20:29,359 --> 00:20:33,000 Speaker 2: But I imagine the conservative women in that demographic are 364 00:20:33,320 --> 00:20:38,800 Speaker 2: very in demand. True, the world is your oyster, Li 365 00:20:39,200 --> 00:20:42,160 Speaker 2: you can have any one of these podcasts listening, Bros. 366 00:20:43,560 --> 00:20:46,639 Speaker 1: The pro vote was real though, I think that's very 367 00:20:46,680 --> 00:20:49,840 Speaker 1: interest and by the way, but would to have young 368 00:20:49,920 --> 00:20:56,680 Speaker 1: men engaged in society, right, Every society needs up having 369 00:20:56,760 --> 00:21:00,000 Speaker 1: deep problems. It's because there's like huge numbers of young 370 00:21:00,080 --> 00:21:02,280 Speaker 1: men who are not engaged in society. So come on 371 00:21:02,359 --> 00:21:03,600 Speaker 1: in the voters. 372 00:21:03,960 --> 00:21:08,040 Speaker 2: It was. It was really excellent. Yeah, it was the 373 00:21:08,200 --> 00:21:10,040 Speaker 2: Other thing I've heard is like this was the revenge 374 00:21:10,040 --> 00:21:11,960 Speaker 2: of the men election. But again, I don't think he 375 00:21:12,080 --> 00:21:14,360 Speaker 2: lost women by enough for it to be like, oh, 376 00:21:14,400 --> 00:21:18,840 Speaker 2: this was the man election. It's not that lopsided. I 377 00:21:18,880 --> 00:21:20,439 Speaker 2: don't remember. The last thing I saw was but I 378 00:21:20,440 --> 00:21:22,280 Speaker 2: think Trump was at forty five percent of women. 379 00:21:22,880 --> 00:21:24,679 Speaker 1: Yeah, it's not it's not. 380 00:21:24,880 --> 00:21:28,000 Speaker 2: Yeah, it's not like thirty five. It's forty five percent 381 00:21:28,000 --> 00:21:29,879 Speaker 2: of women. Okay, and then fifty five or against what 382 00:21:29,960 --> 00:21:32,000 Speaker 2: are you going to do? Well? 383 00:21:32,160 --> 00:21:40,960 Speaker 1: But yeah, the liberals just overestimate how much women love abortion. Yeah, 384 00:21:41,000 --> 00:21:44,960 Speaker 1: they must, right, because you and I found the messaging 385 00:21:45,000 --> 00:21:47,240 Speaker 1: off putting about like, I'm voting for my kid to 386 00:21:48,119 --> 00:21:50,879 Speaker 1: have the freedom to appoint my own abortion. I understand 387 00:21:50,960 --> 00:21:54,840 Speaker 1: the argument about autonomy, and I get what they're actually saying, 388 00:21:55,280 --> 00:21:58,639 Speaker 1: but the way they communicated it I found very off putting. 389 00:21:59,440 --> 00:22:02,520 Speaker 1: And I wonder if we're not alone in the normal 390 00:22:02,600 --> 00:22:03,960 Speaker 1: ones actually on that. 391 00:22:04,680 --> 00:22:06,879 Speaker 2: Somebody's tweeted, and I'd love to give credit, but I 392 00:22:06,880 --> 00:22:09,520 Speaker 2: don't remember who it was that. You know, women go 393 00:22:09,560 --> 00:22:12,080 Speaker 2: to the grocery store and they see the expensive prices 394 00:22:12,160 --> 00:22:14,080 Speaker 2: much more often than they go to get abortions. 395 00:22:14,320 --> 00:22:15,760 Speaker 1: So it's true. 396 00:22:16,040 --> 00:22:16,600 Speaker 2: It might be that. 397 00:22:17,440 --> 00:22:21,600 Speaker 1: I do think that left leaning people have a have 398 00:22:21,680 --> 00:22:26,000 Speaker 1: a blind spot or an inability to rank concerns. Yeah, 399 00:22:26,080 --> 00:22:29,199 Speaker 1: because Donald Trump sort of blinds them from the idea 400 00:22:29,280 --> 00:22:34,720 Speaker 1: that people do rank these concerns, and then frankly, look, 401 00:22:34,760 --> 00:22:37,680 Speaker 1: I think January sixth is a big deal, but when 402 00:22:37,720 --> 00:22:41,680 Speaker 1: you're talking about your daily groceries, January sixth, twenty twenty 403 00:22:41,720 --> 00:22:44,639 Speaker 1: one is not nine to eleven to you. It is 404 00:22:44,720 --> 00:22:49,119 Speaker 1: not front of mind. And frankly, I think it feels 405 00:22:49,119 --> 00:22:51,480 Speaker 1: a bit like a luxury belief to believe that that 406 00:22:51,680 --> 00:22:54,320 Speaker 1: is only the only thing on the line when you're. 407 00:22:54,160 --> 00:22:57,640 Speaker 2: Exactly, yeah, should we get into the Jewish mode? 408 00:22:57,680 --> 00:22:58,879 Speaker 1: I feel like i'd love to. 409 00:22:59,760 --> 00:23:02,880 Speaker 2: My thinking on this is that the exit polls are 410 00:23:03,520 --> 00:23:05,679 Speaker 2: kind of weak on this right now. So the Fox 411 00:23:05,920 --> 00:23:09,920 Speaker 2: News exit polls last night had forty three percent of 412 00:23:09,920 --> 00:23:12,520 Speaker 2: the Jewish vote in Florida for Trump, which is about 413 00:23:12,560 --> 00:23:16,479 Speaker 2: in line with how DeSantis got forty five percent in 414 00:23:16,520 --> 00:23:19,959 Speaker 2: his goupernatorial race. And I don't know what Trump got specifically, 415 00:23:20,000 --> 00:23:21,919 Speaker 2: but he got I think he also got like forty 416 00:23:21,920 --> 00:23:25,119 Speaker 2: actually in Florida and twenty twenty Arizona didn't even know 417 00:23:25,160 --> 00:23:29,680 Speaker 2: they had Jews thirty eight percent for Trump. Nevada, Nevada 418 00:23:30,040 --> 00:23:32,640 Speaker 2: forty two percent for Trump, and then the numbers come 419 00:23:32,680 --> 00:23:36,120 Speaker 2: out nationally and it's like thirty two percent, And I'm sorry, 420 00:23:36,480 --> 00:23:39,440 Speaker 2: even though Republican Jewish Coalition sharing it. That number makes 421 00:23:39,480 --> 00:23:43,159 Speaker 2: no sense, like what happened in California, ten percent the 422 00:23:43,200 --> 00:23:45,840 Speaker 2: Jewish vote went for Trump. So I would take these 423 00:23:46,000 --> 00:23:50,080 Speaker 2: exit polls with a giant grain of salt. It takes 424 00:23:50,080 --> 00:23:52,679 Speaker 2: a little while to get real data out of these elections, 425 00:23:53,320 --> 00:23:56,360 Speaker 2: and I think that what we saw is a lot 426 00:23:56,400 --> 00:24:00,879 Speaker 2: of first time Jewish voters voting Republican in any hurry 427 00:24:01,000 --> 00:24:03,800 Speaker 2: to go tell a stranger on the street or wherever 428 00:24:04,440 --> 00:24:08,080 Speaker 2: that they did that. So I would really caution against believing. 429 00:24:08,400 --> 00:24:11,679 Speaker 2: I mean, the Republican Jewish Coalition is celebrating thirty two 430 00:24:11,720 --> 00:24:13,840 Speaker 2: percent because it's a two percent increase from the thirty 431 00:24:13,840 --> 00:24:16,359 Speaker 2: percent of twenty twenty. I still think it's going to 432 00:24:16,400 --> 00:24:19,879 Speaker 2: go higher. My prediction was a very kind of normal 433 00:24:19,960 --> 00:24:22,280 Speaker 2: thirty eight percent. But even I would take the over 434 00:24:22,400 --> 00:24:24,719 Speaker 2: on my own prediction. I think that number is going 435 00:24:24,760 --> 00:24:26,400 Speaker 2: to be in the forties when all of a sudden done. 436 00:24:27,160 --> 00:24:29,840 Speaker 2: I think Jews really turned out for Trump. And it's 437 00:24:30,080 --> 00:24:35,320 Speaker 2: also a demographic, you know, the demographics is destiny kind 438 00:24:35,359 --> 00:24:39,600 Speaker 2: of conversation. Because Orthodox Jews vote Republican, They're having more 439 00:24:39,680 --> 00:24:42,320 Speaker 2: children fifteen years from now, and I don't think it's 440 00:24:42,359 --> 00:24:45,400 Speaker 2: crazy to imagine that Jews vote majority Republican. 441 00:24:46,480 --> 00:24:50,800 Speaker 1: You know how unifying actually this Trump coalition is is 442 00:24:50,800 --> 00:24:54,639 Speaker 1: that he improved dramatically with both Jewish and Arab Americans, 443 00:24:54,720 --> 00:24:57,840 Speaker 1: amazing using the same message. 444 00:25:00,320 --> 00:25:02,479 Speaker 2: He wasn't like tailoring something different. 445 00:25:02,960 --> 00:25:05,320 Speaker 1: I mean this is I do think we had a 446 00:25:05,359 --> 00:25:10,520 Speaker 1: matchup of to a fault, the most authentic candidate that 447 00:25:10,600 --> 00:25:14,280 Speaker 1: you can have in Donald Trump and the absolute least 448 00:25:14,400 --> 00:25:16,800 Speaker 1: authentic candidate you can have. So she was trying to 449 00:25:17,760 --> 00:25:22,160 Speaker 1: jockey and parse and woo different people, and he was like, yeah, 450 00:25:22,160 --> 00:25:26,400 Speaker 1: I'm the guy who put the UH the embassy in Jerusalem, 451 00:25:26,760 --> 00:25:29,480 Speaker 1: and I'm going to support Israel and like I'm going 452 00:25:29,560 --> 00:25:33,800 Speaker 1: to say some like like unplanned stuff about my views 453 00:25:33,800 --> 00:25:36,400 Speaker 1: on this, but I love the Jews and. 454 00:25:36,320 --> 00:25:39,600 Speaker 2: He never waivers on it. He's never like she changed 455 00:25:39,640 --> 00:25:42,800 Speaker 2: her message to the Arab voters, and I think they 456 00:25:42,880 --> 00:25:45,880 Speaker 2: saw through that he's saying things like I will end 457 00:25:45,880 --> 00:25:50,320 Speaker 2: this war, which he may already this morning who these 458 00:25:50,400 --> 00:25:52,600 Speaker 2: came out and said, you know, we were just doing 459 00:25:52,640 --> 00:25:55,440 Speaker 2: our thing in the in the in the seas over there, 460 00:25:55,480 --> 00:25:58,320 Speaker 2: but now now we're going to stop. And it's all right, Yeah, 461 00:25:58,480 --> 00:26:00,520 Speaker 2: I don't think that's a coincidence. I think that they're 462 00:26:00,600 --> 00:26:04,640 Speaker 2: like new sheriff in town and they want no part 463 00:26:04,680 --> 00:26:07,480 Speaker 2: of this. I think that he does have potential to 464 00:26:07,600 --> 00:26:10,600 Speaker 2: really help wrap up the Middle East war and. 465 00:26:10,960 --> 00:26:15,200 Speaker 1: Well, and like he has great timing because net Yahoo 466 00:26:15,240 --> 00:26:20,000 Speaker 1: has basically said Israel shall take care of this. They 467 00:26:20,000 --> 00:26:23,400 Speaker 1: have gone not alone in the sense of like weaponry 468 00:26:23,440 --> 00:26:26,800 Speaker 1: and money, but gone it alone, sometimes in the moral 469 00:26:26,840 --> 00:26:29,480 Speaker 1: support like no, you can't do that, you can't go 470 00:26:29,480 --> 00:26:32,600 Speaker 1: to Raphael like we're doing it. Yeah, And as a result, 471 00:26:33,160 --> 00:26:37,000 Speaker 1: a lot of it's done. So when Donald Trump comes 472 00:26:37,040 --> 00:26:39,760 Speaker 1: into office, he's like, you can really, Yeah, why don't 473 00:26:39,760 --> 00:26:41,399 Speaker 1: you guys wrap this up pretty quick? And it might 474 00:26:41,440 --> 00:26:42,800 Speaker 1: get wrapped up pretty quick. 475 00:26:42,800 --> 00:26:44,000 Speaker 2: Right absolutely. 476 00:26:44,800 --> 00:26:45,080 Speaker 1: Yeah. 477 00:26:45,200 --> 00:26:48,760 Speaker 2: I think that Donald Trump presidency, let's see what happens, 478 00:26:48,800 --> 00:26:50,720 Speaker 2: is going to be an interesting four years. And I 479 00:26:50,800 --> 00:26:54,159 Speaker 2: think that you and I are going to stay on 480 00:26:54,200 --> 00:26:57,360 Speaker 2: top of it. You know. Also, I wanted him to win. 481 00:26:57,400 --> 00:27:00,280 Speaker 2: I voted for him, But he does start as zero 482 00:27:00,440 --> 00:27:03,040 Speaker 2: here for me, and he has to do all the 483 00:27:03,080 --> 00:27:04,840 Speaker 2: things that he said he was going to do, and 484 00:27:05,080 --> 00:27:06,920 Speaker 2: I hope that he does. I hope that he does 485 00:27:06,920 --> 00:27:08,040 Speaker 2: the things that I voted for. 486 00:27:08,680 --> 00:27:10,280 Speaker 1: Right, Well, and this is this is the thing that 487 00:27:10,320 --> 00:27:13,320 Speaker 1: sort of mystifies me about the Donald Trump era, where 488 00:27:13,320 --> 00:27:18,120 Speaker 1: it's like we've lost the art of you vote for 489 00:27:18,160 --> 00:27:22,000 Speaker 1: someone who best fits what you hope might come in 490 00:27:22,040 --> 00:27:25,840 Speaker 1: the fuldre Like it's very it's very unscientific. It is 491 00:27:25,880 --> 00:27:29,359 Speaker 1: not a person who has to align with everything you believe. 492 00:27:29,760 --> 00:27:32,960 Speaker 1: I've never had someone align perfectly with what I believe. 493 00:27:33,200 --> 00:27:38,520 Speaker 1: That would be like maybe a Paul Ryan, you know entitled. Yeah, 494 00:27:38,640 --> 00:27:40,639 Speaker 1: oh that's a good one too, That would be pretty 495 00:27:40,640 --> 00:27:44,560 Speaker 1: close for me. But I've never had someone aligned like that. 496 00:27:44,960 --> 00:27:50,520 Speaker 1: But most voters don't make their decisions that way. And 497 00:27:50,560 --> 00:27:53,080 Speaker 1: then once the person you voted for is in office, 498 00:27:53,119 --> 00:27:57,560 Speaker 1: you go let me evaluate you as I see fit, right, Tatta, 499 00:27:58,200 --> 00:27:59,720 Speaker 1: You and I have done an amazing trick. 500 00:28:01,800 --> 00:28:04,119 Speaker 2: Yeah, we're going to be holding him accountable. We're going 501 00:28:04,160 --> 00:28:06,159 Speaker 2: to be hoping that he does the things that he 502 00:28:06,280 --> 00:28:09,520 Speaker 2: ran on and not letting him slide just because we 503 00:28:09,600 --> 00:28:11,600 Speaker 2: happen to be on the same political side. 504 00:28:12,160 --> 00:28:14,640 Speaker 1: No check us out, because often I disagree with him, 505 00:28:14,680 --> 00:28:16,000 Speaker 1: as I have for many years. 506 00:28:18,320 --> 00:28:21,359 Speaker 2: Well, we will be holding him accountable on normally and 507 00:28:21,400 --> 00:28:25,520 Speaker 2: we will be rooting for Donald Trump's success. Check us out. 508 00:28:25,560 --> 00:28:28,679 Speaker 2: Thanks for joining us. Normally airs Tuesdays and Thursdays, and 509 00:28:28,720 --> 00:28:31,800 Speaker 2: you can subscribe anywhere you get your podcasts get in 510 00:28:31,840 --> 00:28:34,000 Speaker 2: touch with us. We didn't hear from any swing voters. 511 00:28:34,000 --> 00:28:36,359 Speaker 2: By the way, nobody wrote to us. None of you 512 00:28:36,440 --> 00:28:38,640 Speaker 2: were deciding at the last minute who to vote forward 513 00:28:38,680 --> 00:28:41,040 Speaker 2: see what you had already made up your minds. But 514 00:28:41,320 --> 00:28:43,360 Speaker 2: if you want to tell us anything, email us at 515 00:28:43,360 --> 00:28:47,560 Speaker 2: normallythepod at jumail dot com. Thanks for listening, and remember 516 00:28:47,640 --> 00:28:50,000 Speaker 2: that when things get weird, act normally.