1 00:00:05,720 --> 00:00:08,800 Speaker 1: Hey, guys, I'm back on normally. There's what normalist takes 2 00:00:08,800 --> 00:00:11,840 Speaker 1: for when the news gets weird. I am Mary Caton and. 3 00:00:11,840 --> 00:00:14,760 Speaker 2: I'm Carol mark Witz. How are you? Mary Catherine? What 4 00:00:14,920 --> 00:00:15,400 Speaker 2: day is it? 5 00:00:16,600 --> 00:00:19,400 Speaker 1: Who even knows? It feels late in the way it's insanct. 6 00:00:20,280 --> 00:00:22,520 Speaker 1: I got my Dolly shirt on, so that's I love 7 00:00:22,560 --> 00:00:24,079 Speaker 1: the Dolly today. 8 00:00:24,160 --> 00:00:27,120 Speaker 2: Love it very cool. Yeah, I don't know. I'm not 9 00:00:27,160 --> 00:00:29,800 Speaker 2: really sure what day it is. I don't know. Sometimes, 10 00:00:29,960 --> 00:00:33,839 Speaker 2: like right before Thanksgiving, things start to move very quickly, 11 00:00:34,240 --> 00:00:38,240 Speaker 2: and like the Christmas lights are up in our part 12 00:00:38,280 --> 00:00:41,560 Speaker 2: of Florida and TJ Max is playing Christmas music, which 13 00:00:41,560 --> 00:00:44,320 Speaker 2: makes me feel like it's post Thanksgiving. I'm very confused. 14 00:00:45,080 --> 00:00:48,680 Speaker 1: Yeah, I know this is like a discussion everyone has. 15 00:00:48,840 --> 00:00:52,040 Speaker 1: I am more of a wait till post Thanksgiving person 16 00:00:52,440 --> 00:00:56,200 Speaker 1: for Christmas stuff because I feel like my days move 17 00:00:56,320 --> 00:00:58,360 Speaker 1: fast enough as it is. Guys. I'm not sure that 18 00:00:58,440 --> 00:00:59,360 Speaker 1: I need to speed this. 19 00:00:59,440 --> 00:01:02,920 Speaker 2: Up, right, But I love like yesterday actually happened to 20 00:01:02,960 --> 00:01:06,480 Speaker 2: be like a chilly day in Florida, so hearing it's 21 00:01:06,520 --> 00:01:08,720 Speaker 2: beginning to look a lot like Christmas at my local 22 00:01:08,760 --> 00:01:09,440 Speaker 2: TJ Max. 23 00:01:09,760 --> 00:01:14,920 Speaker 1: When I was enjoyed that sixty five and everybody was freezing. 24 00:01:14,959 --> 00:01:19,399 Speaker 2: Todath that was really cool. I couldn't watch my son's 25 00:01:19,440 --> 00:01:20,240 Speaker 2: soccer last night. 26 00:01:20,280 --> 00:01:20,880 Speaker 1: I was so cold. 27 00:01:20,880 --> 00:01:22,040 Speaker 2: I had to go wait in the car. 28 00:01:22,200 --> 00:01:26,240 Speaker 1: Yeah, I understand. Wow, wow, Yeah. So I'm holding off 29 00:01:26,280 --> 00:01:28,560 Speaker 1: for a little while. Not on Christmas present buying. I 30 00:01:28,600 --> 00:01:33,040 Speaker 1: actually did start that nice. So you're welcome, economy, right, 31 00:01:33,319 --> 00:01:36,360 Speaker 1: But the decorating, I will hold off till a little 32 00:01:36,400 --> 00:01:40,319 Speaker 1: at least I will start gathering a little bit before Thanksgiving, 33 00:01:40,360 --> 00:01:42,360 Speaker 1: and I'll try to hold off until post Thanksgiving. 34 00:01:42,840 --> 00:01:45,960 Speaker 2: I love it. Keep us posted. By the way, everybody, 35 00:01:46,000 --> 00:01:49,120 Speaker 2: Thanksgiving is two weeks from tomorrow, two weeks today. If 36 00:01:49,120 --> 00:01:52,480 Speaker 2: you're hearing it on Thursday, two weeks from today. Friends, 37 00:01:52,800 --> 00:01:55,080 Speaker 2: get your turkey. 38 00:01:55,200 --> 00:01:56,360 Speaker 1: It's happening too fast. 39 00:01:56,560 --> 00:02:00,320 Speaker 2: Okay, all right, let's do it. Donald Trump, what is 40 00:02:00,360 --> 00:02:05,960 Speaker 2: going on with him? Yeah? I don't know. He had 41 00:02:06,040 --> 00:02:10,400 Speaker 2: an interview with Laura Ingram on Fox News. You would 42 00:02:10,440 --> 00:02:15,600 Speaker 2: expect that interview to be fairly friendly. It got pretty contentious. 43 00:02:15,800 --> 00:02:18,800 Speaker 2: And it's on the issue that you and I often 44 00:02:18,919 --> 00:02:22,200 Speaker 2: say Donald Trump is a liberal on which is immigration, 45 00:02:22,360 --> 00:02:25,160 Speaker 2: which is there's a lot of irony there. Right, He's 46 00:02:25,200 --> 00:02:29,480 Speaker 2: the build a wall, make Mexico pay for it, mass deportations, 47 00:02:29,600 --> 00:02:32,920 Speaker 2: all of that. But whenever he has the opportunity, he's like, 48 00:02:33,160 --> 00:02:36,920 Speaker 2: let's let in a bunch of you know, Chinese college students, 49 00:02:37,000 --> 00:02:39,919 Speaker 2: Let's do like three hundred thousand of them or things 50 00:02:39,960 --> 00:02:44,239 Speaker 2: like that. And it is it's confusing, but that's that's 51 00:02:44,240 --> 00:02:46,960 Speaker 2: our Donald Trump, and that's where we are. Let's play 52 00:02:46,960 --> 00:02:49,280 Speaker 2: the clip from Laura's show and then discuss it. 53 00:02:49,360 --> 00:02:50,880 Speaker 3: Republicans have to talk about it. 54 00:02:51,040 --> 00:02:53,239 Speaker 4: And does that mean the H one B visa thing 55 00:02:53,360 --> 00:02:56,079 Speaker 4: will not be a big priority for your administration because 56 00:02:56,080 --> 00:02:58,600 Speaker 4: if you want to raise wages for American workers, you 57 00:02:58,680 --> 00:03:01,600 Speaker 4: can't flood the country with with tens of thousands or hundreds. 58 00:03:01,639 --> 00:03:04,200 Speaker 3: I agree, but we also do have to bring in 59 00:03:04,320 --> 00:03:05,480 Speaker 3: talent when we. 60 00:03:05,600 --> 00:03:07,760 Speaker 4: Country talent and I know you don't know, you don't 61 00:03:07,800 --> 00:03:08,480 Speaker 4: we don't have talent. 62 00:03:09,000 --> 00:03:11,480 Speaker 3: Now you don't have you don't have certain talents, and 63 00:03:11,520 --> 00:03:13,919 Speaker 3: you have to people have to learn. You can't take 64 00:03:13,960 --> 00:03:17,239 Speaker 3: people off an unimploiment like an unemployment line and say 65 00:03:17,480 --> 00:03:19,040 Speaker 3: I'm going to put you into a factory who we're 66 00:03:19,040 --> 00:03:20,840 Speaker 3: going to make missiles or I'm going to put w Do. 67 00:03:20,800 --> 00:03:21,880 Speaker 1: We ever do it before? 68 00:03:22,040 --> 00:03:22,200 Speaker 5: Well? 69 00:03:22,639 --> 00:03:26,359 Speaker 3: And I I'll give you an example. In Georgia they 70 00:03:26,440 --> 00:03:31,000 Speaker 3: raided because they wanted illegal immigrants. They had people from 71 00:03:31,200 --> 00:03:34,520 Speaker 3: from South Korea that made batteries all their lives. You know, 72 00:03:34,560 --> 00:03:37,320 Speaker 3: making batteries are very complicated. It's not an easy thing 73 00:03:37,360 --> 00:03:39,960 Speaker 3: and very dangerous, a lot of explosions, a lot of problems. 74 00:03:40,680 --> 00:03:44,320 Speaker 3: They had like five or six hundred people early stages 75 00:03:44,360 --> 00:03:48,040 Speaker 3: to make batteries and to teach people how to do it. Well, 76 00:03:48,120 --> 00:03:49,760 Speaker 3: they wanted them to get out of the country. 77 00:03:49,840 --> 00:03:50,800 Speaker 2: You're going to need that lure. 78 00:03:50,880 --> 00:03:52,680 Speaker 3: I mean, I know you and I disagree on this. 79 00:03:53,000 --> 00:03:56,240 Speaker 3: You can't just say a country's coming in, going to 80 00:03:56,320 --> 00:03:59,120 Speaker 3: invest ten billion dollars to build a plant and going 81 00:03:59,200 --> 00:04:01,880 Speaker 3: to take people off an unemployment line who haven't worked 82 00:04:01,920 --> 00:04:04,640 Speaker 3: in five years, and they're going to start making the missiles. 83 00:04:04,880 --> 00:04:05,880 Speaker 3: It doesn't work that well. 84 00:04:06,120 --> 00:04:08,520 Speaker 2: It doesn't work though americ Catherine. 85 00:04:08,520 --> 00:04:11,680 Speaker 1: Well Trump has a way, despite being a like in 86 00:04:11,720 --> 00:04:15,680 Speaker 1: some ways a phenomenal communicator, will stumble on phrases that 87 00:04:15,720 --> 00:04:19,119 Speaker 1: are like oh no, sir, yes, like no, you don't 88 00:04:19,160 --> 00:04:23,880 Speaker 1: have talent in this country. Yeah, he's not a thing. Yeah, yeah, 89 00:04:23,960 --> 00:04:26,440 Speaker 1: what we're trying to say. It was extremely. 90 00:04:26,000 --> 00:04:29,039 Speaker 2: Cringey and yet it's like, you know, he got defensive 91 00:04:29,080 --> 00:04:31,440 Speaker 2: and he doesn't really mean that, but yes. 92 00:04:31,600 --> 00:04:31,839 Speaker 5: It was. 93 00:04:31,920 --> 00:04:33,640 Speaker 1: You know what it remind you know what it reminded 94 00:04:33,680 --> 00:04:35,360 Speaker 1: me of. It's like when he gets in his tough 95 00:04:35,400 --> 00:04:38,159 Speaker 1: love love vibe and some of that I like, because 96 00:04:38,160 --> 00:04:40,960 Speaker 1: people do need to hear. As you and I agree, 97 00:04:41,040 --> 00:04:43,719 Speaker 1: there are some very specialized things that you need folks 98 00:04:43,800 --> 00:04:46,080 Speaker 1: for and sometimes they can come from other countries and 99 00:04:46,120 --> 00:04:49,840 Speaker 1: that's fine. It reminded me of his tough love moment 100 00:04:49,880 --> 00:04:52,760 Speaker 1: when he was like, you know, kids will just have 101 00:04:52,960 --> 00:04:56,280 Speaker 1: two dolls instead of thirty dollars, and I was like, no, no, no, no, no, no, 102 00:04:57,000 --> 00:04:59,400 Speaker 1: we do not like that messaging in the United States 103 00:04:59,480 --> 00:05:02,120 Speaker 1: of America, your adults. So now he's doing it, is 104 00:05:02,160 --> 00:05:04,920 Speaker 1: doing it on the economy. And look, I think whether 105 00:05:04,960 --> 00:05:09,360 Speaker 1: it's immigration or the economy in general, or affordability, if 106 00:05:09,400 --> 00:05:12,960 Speaker 1: you sort of shush people about their very real concerns 107 00:05:12,960 --> 00:05:16,479 Speaker 1: about their livelihoods and their affordability and their ability to 108 00:05:16,520 --> 00:05:18,680 Speaker 1: shop and all of these things, you will get in 109 00:05:18,720 --> 00:05:21,039 Speaker 1: trouble no matter what party you're in or how much 110 00:05:21,080 --> 00:05:21,600 Speaker 1: they like you. 111 00:05:22,240 --> 00:05:22,920 Speaker 4: Yeah. 112 00:05:22,960 --> 00:05:26,560 Speaker 2: Absolutely, And look, the HB one thing like there is 113 00:05:26,800 --> 00:05:31,240 Speaker 2: a moderate path here which is you need some number 114 00:05:31,440 --> 00:05:34,920 Speaker 2: of specialized people on the HB one visa, you keep 115 00:05:34,920 --> 00:05:39,320 Speaker 2: that number really small because Laura's right, we did used 116 00:05:39,360 --> 00:05:40,839 Speaker 2: to do this somehow, right. 117 00:05:40,680 --> 00:05:43,039 Speaker 1: We did. You would train people to do it for 118 00:05:43,080 --> 00:05:43,679 Speaker 1: the jobs. 119 00:05:43,800 --> 00:05:46,320 Speaker 2: Right, you kind of have to figure out how you 120 00:05:46,360 --> 00:05:50,200 Speaker 2: make batteries or we do it. We actually did do it, 121 00:05:50,279 --> 00:05:53,000 Speaker 2: and we should do it. And if we need some 122 00:05:53,320 --> 00:05:56,839 Speaker 2: tiny number of specialized people in the meantime, that's fine. 123 00:05:57,120 --> 00:05:59,800 Speaker 2: That's not what's going on here. There's been so many 124 00:05:59,800 --> 00:06:03,560 Speaker 2: ours and so many people speaking out about HB one abuses. 125 00:06:03,880 --> 00:06:06,679 Speaker 2: You and I covered it on previous episodes of the show. 126 00:06:07,120 --> 00:06:09,720 Speaker 2: There is a lot of abuse of this program. It 127 00:06:09,920 --> 00:06:13,920 Speaker 2: needs to be reformed. It cannot continue the way it is. Well. 128 00:06:14,000 --> 00:06:17,080 Speaker 1: I think Trump is a person who if he were 129 00:06:17,800 --> 00:06:21,120 Speaker 1: giving a consistent message about how he's vetting this system, 130 00:06:21,200 --> 00:06:24,160 Speaker 1: how he's making sure it's working properly. But in this situation, 131 00:06:24,240 --> 00:06:28,080 Speaker 1: he's specifically saying, no, we need these people, and then 132 00:06:28,160 --> 00:06:30,080 Speaker 1: he goes on a little mini rant in there about 133 00:06:30,080 --> 00:06:32,520 Speaker 1: the Hyundai plant. I just want to point out that 134 00:06:32,520 --> 00:06:35,440 Speaker 1: when he says they went to go get these specialized 135 00:06:35,440 --> 00:06:38,400 Speaker 1: workers that you need to make batteries, the they is 136 00:06:38,640 --> 00:06:43,640 Speaker 1: ice under Donald Trump's administration. So if we indeed need 137 00:06:43,640 --> 00:06:46,560 Speaker 1: those workers, many of which had short term visas, I 138 00:06:46,560 --> 00:06:49,800 Speaker 1: don't know how many of them were actually in here 139 00:06:49,880 --> 00:06:52,279 Speaker 1: illegally and how many had permits that I think the 140 00:06:52,320 --> 00:06:54,720 Speaker 1: federal government said the permits weren't exactly correct for them 141 00:06:54,720 --> 00:06:59,440 Speaker 1: to be here. Whatever it was, it disrupted that plant immensely. 142 00:07:00,360 --> 00:07:05,480 Speaker 1: And again it was his immigration enforcement, right. 143 00:07:05,600 --> 00:07:07,600 Speaker 2: He's really mad at the people who did this. 144 00:07:07,800 --> 00:07:09,840 Speaker 1: To be consistent about it, so people can trust you 145 00:07:09,920 --> 00:07:12,600 Speaker 1: to vet the system properly. And then, as you said, 146 00:07:12,680 --> 00:07:14,960 Speaker 1: we're open to the idea that you do need some people, 147 00:07:15,280 --> 00:07:18,760 Speaker 1: but that American companies shouldn't be faking like they're trying 148 00:07:18,760 --> 00:07:21,080 Speaker 1: to hire Americans when they're really not doing that, which 149 00:07:21,160 --> 00:07:22,720 Speaker 1: is some of what we've seen in the right. 150 00:07:23,360 --> 00:07:27,400 Speaker 2: Yeah, I hate that people try to fit Donald Trump, 151 00:07:28,320 --> 00:07:32,560 Speaker 2: you know, triangle into a round peg. He is who 152 00:07:32,600 --> 00:07:35,400 Speaker 2: he is, and he says who he is. I don't 153 00:07:35,440 --> 00:07:38,160 Speaker 2: think he ran as a different person. I think this 154 00:07:38,240 --> 00:07:40,480 Speaker 2: is who he's been and you and I were calling 155 00:07:40,560 --> 00:07:43,080 Speaker 2: him out in so many different ways. I mean, even 156 00:07:43,160 --> 00:07:47,360 Speaker 2: just like the million dollar green card or any of 157 00:07:47,400 --> 00:07:52,720 Speaker 2: these things, it's a very specific type of immigration argument 158 00:07:52,760 --> 00:07:55,800 Speaker 2: that Donald Trump is making. I don't agree with it, 159 00:07:56,040 --> 00:07:58,240 Speaker 2: but this is who he is. Because I see people 160 00:07:58,320 --> 00:08:01,760 Speaker 2: on X being like, which are Stafford gave him this information? 161 00:08:01,920 --> 00:08:05,440 Speaker 2: Is really misguided. Bro, It was no Staffer, this was 162 00:08:05,480 --> 00:08:07,240 Speaker 2: Donald Trump being Donald Trump. 163 00:08:07,640 --> 00:08:10,240 Speaker 1: Yeah. Well, I do think this is one of those 164 00:08:10,360 --> 00:08:15,480 Speaker 1: issues where if you're concerned about losing the more isolationist 165 00:08:15,520 --> 00:08:19,280 Speaker 1: America first wing of the party, if you're looking to 166 00:08:19,360 --> 00:08:23,160 Speaker 1: speak to the young men in that segment about their 167 00:08:23,200 --> 00:08:29,360 Speaker 1: future economically, this is ground on which you should tread carefully. Yeah, 168 00:08:29,360 --> 00:08:32,360 Speaker 1: because those folks were looking to you to make their 169 00:08:32,440 --> 00:08:35,199 Speaker 1: economic prospects better, and you have to explain to them 170 00:08:35,600 --> 00:08:39,160 Speaker 1: that the H one B visas or the Chinese nationals 171 00:08:39,360 --> 00:08:42,439 Speaker 1: will not be causing the problems they think they will cause. 172 00:08:43,280 --> 00:08:47,800 Speaker 2: Yeah. Absolutely, But again they voted for him being this guy. Like, 173 00:08:48,200 --> 00:08:50,840 Speaker 2: I don't think anything new has happened since his election. 174 00:08:51,000 --> 00:08:53,400 Speaker 2: I think that this is who he is. He has 175 00:08:53,480 --> 00:08:57,080 Speaker 2: this impulse of you know, I'll bring in it could 176 00:08:57,080 --> 00:08:59,240 Speaker 2: be millions of people, but they'll be the best people. 177 00:08:59,480 --> 00:09:02,199 Speaker 2: But we're like, but that would still harm the best 178 00:09:02,200 --> 00:09:05,200 Speaker 2: people that we have here. It's sort of like he 179 00:09:05,280 --> 00:09:09,000 Speaker 2: doesn't see the next thing that happens just over the horizon, 180 00:09:09,559 --> 00:09:11,319 Speaker 2: what problems could happen with this? 181 00:09:11,559 --> 00:09:16,360 Speaker 1: No, he is often the fastest path guy, Right, He's like, 182 00:09:16,559 --> 00:09:19,240 Speaker 1: here's the fastest path. In the last week or two, 183 00:09:19,600 --> 00:09:22,520 Speaker 1: the fastest path in his brain was my team gets 184 00:09:22,600 --> 00:09:25,320 Speaker 1: rid of the filibuster. We get this thing done. Yep. 185 00:09:25,440 --> 00:09:28,400 Speaker 1: That wasn't the correct path, but it could have been. 186 00:09:28,480 --> 00:09:31,120 Speaker 1: It was the most efficient in Donald Trump's brain to 187 00:09:31,200 --> 00:09:33,920 Speaker 1: solve the problem. Yeah, but it turned out like you 188 00:09:33,960 --> 00:09:35,520 Speaker 1: don't need to do that, and you shouldn't do that. 189 00:09:35,920 --> 00:09:38,480 Speaker 1: But he often will make that decision like this is 190 00:09:38,520 --> 00:09:41,440 Speaker 1: the fastest path to getting these batteries made right. 191 00:09:41,640 --> 00:09:46,240 Speaker 2: In other Donald Trump news, the headlines today are about 192 00:09:46,280 --> 00:09:51,920 Speaker 2: Donald Trump's connection to Jeffrey Epstein. And yes, look, you 193 00:09:51,920 --> 00:09:55,360 Speaker 2: know it's hard when you defend somebody in a story 194 00:09:55,400 --> 00:09:59,120 Speaker 2: that's developing. But all of the evidence up until now 195 00:10:00,000 --> 00:10:04,120 Speaker 2: do not have Donald Trump in any compromising positions with 196 00:10:04,200 --> 00:10:08,600 Speaker 2: Jeffrey Epstein, and the story today is no different. In fact, 197 00:10:08,679 --> 00:10:13,079 Speaker 2: I think that it's just it's almost cowardly in how 198 00:10:13,120 --> 00:10:16,240 Speaker 2: it's being presented, in how the left is making their 199 00:10:16,360 --> 00:10:18,440 Speaker 2: case that Donald Trump had something to do with anything 200 00:10:18,480 --> 00:10:19,680 Speaker 2: with Jeffrey Epstein here. 201 00:10:21,200 --> 00:10:22,559 Speaker 1: But you know, these. 202 00:10:22,440 --> 00:10:26,880 Speaker 2: Emails that were released do not show anything that the 203 00:10:26,920 --> 00:10:32,560 Speaker 2: headlines promised to show. So it's an exchange between Michael Wolfe, 204 00:10:32,600 --> 00:10:35,520 Speaker 2: who has written a Trump biography that had a lot 205 00:10:35,520 --> 00:10:40,480 Speaker 2: of questionable parts in it that people call possibly made up, 206 00:10:40,920 --> 00:10:44,200 Speaker 2: but he's considered largely a fabulous and let's just you know, 207 00:10:44,280 --> 00:10:47,240 Speaker 2: say that. But so in this email, Michael Wolfe is 208 00:10:47,280 --> 00:10:51,800 Speaker 2: emailing with Jeffrey Epstein and he says, I hear CNN 209 00:10:51,920 --> 00:10:54,680 Speaker 2: planning to ask Trump tonight about his relationship with you, 210 00:10:54,880 --> 00:10:58,320 Speaker 2: either on air or in the scrum afterwards. So already 211 00:10:59,040 --> 00:11:03,320 Speaker 2: he's got inside information from CNN, really shady stuff, like 212 00:11:03,360 --> 00:11:05,560 Speaker 2: they're coordinating how to get Donald Trump. 213 00:11:05,640 --> 00:11:09,440 Speaker 1: And this is destate on This is twenty sixteen, right. 214 00:11:09,679 --> 00:11:13,080 Speaker 2: Twenty fifteen, December twenty fifteen. So Trump has, you know, 215 00:11:13,280 --> 00:11:17,960 Speaker 2: just recently announced and he's running, and clearly they want 216 00:11:18,080 --> 00:11:23,360 Speaker 2: to have just the final nail in the Trump campaign Coffin. 217 00:11:23,760 --> 00:11:25,840 Speaker 2: They're trying to get him on this. And so Jeffrey 218 00:11:25,880 --> 00:11:28,760 Speaker 2: Epstein responds, if we were able to craft an answer 219 00:11:28,760 --> 00:11:31,160 Speaker 2: for him, what do you think it should be? Wolf responds, 220 00:11:31,200 --> 00:11:33,000 Speaker 2: I think you should let him hang himself. If he 221 00:11:33,040 --> 00:11:35,160 Speaker 2: says he hasn't been on the plane or to the house, 222 00:11:35,480 --> 00:11:39,240 Speaker 2: then that gives you a valuable pr and political currency. 223 00:11:39,679 --> 00:11:41,960 Speaker 2: You can hang him in a way that potentially generates 224 00:11:42,000 --> 00:11:45,360 Speaker 2: a positive benefit for you, or if it really looks 225 00:11:45,360 --> 00:11:48,560 Speaker 2: like he could win, you could save him generating a debt. 226 00:11:48,800 --> 00:11:51,080 Speaker 2: Of course, it is possible that when asked, he'll say 227 00:11:51,160 --> 00:11:53,440 Speaker 2: Jeffrey's a great guy and has gotten a raw deal 228 00:11:53,520 --> 00:11:55,840 Speaker 2: and is a victim of political correctness, which is to 229 00:11:55,880 --> 00:11:59,520 Speaker 2: be outlawed in a Trump regime. I mean, Trump pretty came. 230 00:12:00,000 --> 00:12:02,520 Speaker 2: I don't think he says Jeffrey's a great guy, but 231 00:12:02,679 --> 00:12:05,439 Speaker 2: I think he does say the raw deal part. Yea, 232 00:12:05,600 --> 00:12:08,280 Speaker 2: So you know, Wolf kind of got that right. But 233 00:12:08,400 --> 00:12:11,280 Speaker 2: this is a plan to get Donald Trump. So anybody 234 00:12:11,320 --> 00:12:14,160 Speaker 2: reading this and telling me that this is some kind 235 00:12:14,160 --> 00:12:17,520 Speaker 2: of smoking gun, didn't read this. That's just what I 236 00:12:17,559 --> 00:12:18,439 Speaker 2: have to come up with here. 237 00:12:19,160 --> 00:12:21,320 Speaker 1: Well, I look, this is one of the costs of 238 00:12:21,360 --> 00:12:28,160 Speaker 1: having everyone lied systematically about Donald Trump or the entirety 239 00:12:28,200 --> 00:12:31,160 Speaker 1: of his first term, and then afterwards many times about 240 00:12:31,160 --> 00:12:33,480 Speaker 1: many things, is that I do have to evaluate all 241 00:12:33,480 --> 00:12:36,480 Speaker 1: of these quite closely. And one of the things I 242 00:12:36,520 --> 00:12:39,240 Speaker 1: wonder is if we had this information in twenty sixteen, 243 00:12:40,120 --> 00:12:42,560 Speaker 1: or there's another email looks like dated a little bit 244 00:12:42,920 --> 00:12:47,600 Speaker 1: somewhat earlier that's about him spending time at a at 245 00:12:47,600 --> 00:12:50,960 Speaker 1: a house with a victim. Is what the claim is if. 246 00:12:50,960 --> 00:12:54,520 Speaker 1: But my question is if we had all of these emails, 247 00:12:54,679 --> 00:12:58,560 Speaker 1: and if Wolf in particular had these emails, or the 248 00:12:58,559 --> 00:13:02,360 Speaker 1: Biden administration had these and all these people have been 249 00:13:02,400 --> 00:13:07,280 Speaker 1: desirous to foil Trump from day one, why have we 250 00:13:07,360 --> 00:13:08,480 Speaker 1: not seen them until now? 251 00:13:08,840 --> 00:13:12,200 Speaker 2: Yeah, because there's nothing, there's no there There another email 252 00:13:12,240 --> 00:13:15,720 Speaker 2: October twenty sixteen from Michael Wolf. There's an opportunity to 253 00:13:15,760 --> 00:13:18,160 Speaker 2: come forward this week and talk about Trump in such 254 00:13:18,160 --> 00:13:20,560 Speaker 2: a way that could garner you great sympathy and help 255 00:13:20,640 --> 00:13:24,160 Speaker 2: finish him interested. I mean, this is the guy that 256 00:13:24,160 --> 00:13:27,320 Speaker 2: they're turning to. This is the guy that they're saying 257 00:13:27,840 --> 00:13:31,120 Speaker 2: they have some sort of smoking gun. It's just it's 258 00:13:31,200 --> 00:13:33,719 Speaker 2: crazy to me, And you know, I also. 259 00:13:33,600 --> 00:13:36,839 Speaker 1: Yeah, with this story, I never want to discount there 260 00:13:36,840 --> 00:13:41,040 Speaker 1: were true victims here who are sometimes under they are 261 00:13:41,080 --> 00:13:44,880 Speaker 1: still subject to NDA's many of them. We won't hear 262 00:13:44,920 --> 00:13:47,679 Speaker 1: their full stories. They were abused by people. This is 263 00:13:47,760 --> 00:13:51,000 Speaker 1: a real tragic story and I have been frustrated from 264 00:13:51,040 --> 00:13:53,200 Speaker 1: day one that Epstein seems to have gotten a sweetheart 265 00:13:53,280 --> 00:13:55,320 Speaker 1: deal and then he left this earth before all of 266 00:13:55,320 --> 00:13:57,720 Speaker 1: this was adjudicated in a way that we felt like 267 00:13:57,760 --> 00:14:01,679 Speaker 1: we had answers. It's always been strange, and as a result, 268 00:14:01,720 --> 00:14:05,240 Speaker 1: I think there are people who didn't get justice. I agree. However, 269 00:14:06,280 --> 00:14:08,560 Speaker 1: in this process, it does seem like a lot of 270 00:14:08,559 --> 00:14:10,640 Speaker 1: people care about this case who never cared about it 271 00:14:10,679 --> 00:14:14,200 Speaker 1: before and are bringing me things that if they were 272 00:14:14,200 --> 00:14:17,960 Speaker 1: indeed as damning as they claim. Yeah, I think they 273 00:14:18,000 --> 00:14:23,280 Speaker 1: would have used them in twenty ten, eleven, fifteen, sixteen, eighteen, twenty, 274 00:14:23,480 --> 00:14:25,440 Speaker 1: like what any of those time? 275 00:14:25,560 --> 00:14:28,400 Speaker 2: Yes, yeah, Look, the question is do you want justice 276 00:14:28,400 --> 00:14:30,440 Speaker 2: for the victims or do you want to get Donald Trump? 277 00:14:30,520 --> 00:14:33,480 Speaker 2: And all of the people reporting on these bs emails 278 00:14:33,560 --> 00:14:36,640 Speaker 2: today just want to get Donald Trump, Speaking of which 279 00:14:36,720 --> 00:14:41,320 Speaker 2: our friend Brian Stelter he tweets Jeffrey Epstein mentioned Trump 280 00:14:41,360 --> 00:14:44,400 Speaker 2: in private emails. Is the lead story across most major 281 00:14:44,480 --> 00:14:47,840 Speaker 2: news websites this morning. Nothing on the Fox News page 282 00:14:47,840 --> 00:14:50,840 Speaker 2: homepage yet though, and no mention on Fox News TV 283 00:14:50,960 --> 00:14:54,480 Speaker 2: at either permise snapstream search. Fox should go ahead and 284 00:14:54,520 --> 00:14:57,120 Speaker 2: mention it, because this is a nonsense story and they 285 00:14:57,120 --> 00:15:01,040 Speaker 2: should shoot it down. And that's it. The fact that 286 00:15:01,080 --> 00:15:05,120 Speaker 2: Brian Stelter's like box should be covering this nonsense story 287 00:15:05,160 --> 00:15:08,440 Speaker 2: that we made up to hurt Trump is very Brian Stelter. 288 00:15:09,160 --> 00:15:12,960 Speaker 1: Speaking of unreliable narrators, Brian Steltzer the other day wrote 289 00:15:13,040 --> 00:15:15,560 Speaker 1: about this, We actually should put it on our list 290 00:15:15,600 --> 00:15:19,720 Speaker 1: to talk about. There's this blockbuster BBC internal report about 291 00:15:19,760 --> 00:15:22,640 Speaker 1: all the things it has done horribly wrong, including its 292 00:15:23,000 --> 00:15:28,800 Speaker 1: pervasive bias on the Israel Gaza issue, and it edited 293 00:15:29,400 --> 00:15:32,160 Speaker 1: in a documentary Trump to look as if he were saying, 294 00:15:32,600 --> 00:15:35,160 Speaker 1: we shall go to the Capitol together and all fight 295 00:15:35,920 --> 00:15:38,520 Speaker 1: like hell, which is not. It was all cobbled together 296 00:15:38,560 --> 00:15:39,760 Speaker 1: in a way to make it seem like he had 297 00:15:39,760 --> 00:15:41,720 Speaker 1: said something he hadn't said of It was very dishonest 298 00:15:42,240 --> 00:15:46,680 Speaker 1: and several executives resigned over it. And I read Brian 299 00:15:46,720 --> 00:15:49,440 Speaker 1: Stelter's story on it, and it was not until the 300 00:15:49,680 --> 00:15:52,720 Speaker 1: first paragraph that I was informed of the bad edit 301 00:15:53,040 --> 00:15:55,720 Speaker 1: that he referred to in the first two paragraphs that 302 00:15:55,840 --> 00:15:59,960 Speaker 1: told me how dishonest the VBC had been, And instead 303 00:16:00,080 --> 00:16:02,520 Speaker 1: I was learning a lot about how the BBC was 304 00:16:02,560 --> 00:16:05,840 Speaker 1: overreacting because Trump threats. 305 00:16:05,600 --> 00:16:07,120 Speaker 2: Right right I believe that. 306 00:16:07,240 --> 00:16:09,920 Speaker 1: Yeah, I think the head I just do their job correctly. 307 00:16:10,000 --> 00:16:13,040 Speaker 2: Maybe I mean imagine that, but I think the headline 308 00:16:13,080 --> 00:16:14,840 Speaker 2: or his tweet on it was like BBC in a 309 00:16:14,920 --> 00:16:18,200 Speaker 2: vulnerable position, Like, yeah, they're in a vulnerable, vulnerable position 310 00:16:18,280 --> 00:16:21,880 Speaker 2: because they are terrible at the job that the British 311 00:16:21,960 --> 00:16:25,680 Speaker 2: public actually pays them to do. They are a publicly 312 00:16:25,720 --> 00:16:31,920 Speaker 2: funded TV station, news station in Britain that lied to 313 00:16:32,000 --> 00:16:35,240 Speaker 2: the British people, completely lied to them, and not just 314 00:16:35,320 --> 00:16:37,960 Speaker 2: on one occasion, on many occasions. And so yeah, people 315 00:16:38,000 --> 00:16:40,920 Speaker 2: resigned because they were liars and they allowed this to 316 00:16:40,960 --> 00:16:45,240 Speaker 2: go on. Brian Stelter's like, I'm rettal concerned about that, lying, lying, lying, 317 00:16:45,320 --> 00:16:46,600 Speaker 2: liar's news station. 318 00:16:48,480 --> 00:16:53,160 Speaker 1: Just come on, man, yeah, no accountability zero. 319 00:16:53,920 --> 00:16:57,120 Speaker 2: CNN would love to be BBC, you know, lying and 320 00:16:57,160 --> 00:16:58,360 Speaker 2: being paid by the public. 321 00:16:59,120 --> 00:17:02,040 Speaker 1: Oh my gosh, they love my money. But nope, now 322 00:17:02,040 --> 00:17:03,520 Speaker 1: that's going to happen in America. 323 00:17:03,640 --> 00:17:07,320 Speaker 2: Yes, God bless the USA. We'll be right back with 324 00:17:07,520 --> 00:17:15,399 Speaker 2: more on normally. We are back on normally where this 325 00:17:15,440 --> 00:17:18,960 Speaker 2: has become our pet issue, I think, and I love 326 00:17:19,000 --> 00:17:22,440 Speaker 2: that we keep covering it because the kids they can't 327 00:17:22,480 --> 00:17:23,840 Speaker 2: read good. 328 00:17:23,720 --> 00:17:26,160 Speaker 1: No, and they also can't do math, it turns. 329 00:17:25,960 --> 00:17:29,000 Speaker 2: Out, yeah, yeah, no no math and no reading going 330 00:17:29,080 --> 00:17:31,960 Speaker 2: on in our schools. It's a real problem. How big 331 00:17:32,000 --> 00:17:32,959 Speaker 2: of a problem is it? 332 00:17:33,000 --> 00:17:33,280 Speaker 1: Though? 333 00:17:33,480 --> 00:17:37,439 Speaker 2: And this new report out of UC San Diego, It 334 00:17:37,480 --> 00:17:40,600 Speaker 2: was highlighted for me on X by Steve McGuire. He 335 00:17:40,760 --> 00:17:43,520 Speaker 2: is a Paul and Karen Leevy Fellow and Campus Freedom 336 00:17:43,600 --> 00:17:48,639 Speaker 2: at Go ACTA. He says the number of entering students 337 00:17:48,840 --> 00:17:52,800 Speaker 2: needing remedial math at UC San Diego has exploded from 338 00:17:52,880 --> 00:17:58,080 Speaker 2: one in one hundred to one in eight. That is bananas. 339 00:17:58,240 --> 00:18:00,520 Speaker 2: They had to create rights. They had to create a 340 00:18:00,520 --> 00:18:04,440 Speaker 2: second remedial class covering elementary and middle school math skills 341 00:18:04,480 --> 00:18:07,159 Speaker 2: in addition to the one covering gaps from high school. 342 00:18:07,680 --> 00:18:10,720 Speaker 2: Read that again. They had to create a second remedial 343 00:18:10,760 --> 00:18:15,000 Speaker 2: class at you see San Diego to cover skills that 344 00:18:15,040 --> 00:18:18,959 Speaker 2: these kids didn't learn in elementary and middle school, in 345 00:18:19,000 --> 00:18:22,520 Speaker 2: addition to the class they already had covering gaps from 346 00:18:22,640 --> 00:18:23,199 Speaker 2: high school. 347 00:18:23,560 --> 00:18:28,439 Speaker 1: These are people who have been accepted to a college. Yeah, 348 00:18:28,480 --> 00:18:31,400 Speaker 1: they are attending a college. I want to note, look, 349 00:18:31,440 --> 00:18:35,920 Speaker 1: I have one of my children in particular, really struggles 350 00:18:35,920 --> 00:18:38,359 Speaker 1: with math, and we work together very very hard on it. 351 00:18:38,400 --> 00:18:40,879 Speaker 1: And I was struck by the fact that they offer 352 00:18:40,960 --> 00:18:47,119 Speaker 1: one of these They offer one of these problems that 353 00:18:47,280 --> 00:18:52,320 Speaker 1: twenty five percent of a cohort they tested got wrong. 354 00:18:52,840 --> 00:18:57,480 Speaker 1: This question is seven plus two equals blank plus six. 355 00:18:58,480 --> 00:19:02,919 Speaker 1: That is terrifying, Terrinty five percent of the students missed 356 00:19:02,920 --> 00:19:06,360 Speaker 1: this in the cohort they tested. In college, my daughter, 357 00:19:06,600 --> 00:19:09,920 Speaker 1: who struggles with math and with whom I work closely 358 00:19:09,960 --> 00:19:12,880 Speaker 1: on this would knock that out of the park, right, 359 00:19:14,520 --> 00:19:16,440 Speaker 1: It is scary. 360 00:19:16,720 --> 00:19:22,440 Speaker 2: It's scary. I mean, look, pandemic learning loss only explains 361 00:19:23,040 --> 00:19:26,720 Speaker 2: some of this. The education system is failing, is it 362 00:19:26,800 --> 00:19:31,280 Speaker 2: is failing on so many different levels. It's like, legitimately scary. 363 00:19:31,440 --> 00:19:34,520 Speaker 2: And I just really don't know the example that you 364 00:19:35,080 --> 00:19:39,160 Speaker 2: gave the seven plus two equals blank plus six. I mean. 365 00:19:40,240 --> 00:19:44,880 Speaker 2: Tommy Schultz, he is the CEO of American Federation for Children. 366 00:19:45,600 --> 00:19:48,720 Speaker 2: He points out that in one class, only eighty seven 367 00:19:48,800 --> 00:19:51,440 Speaker 2: percent tested at a first grade math level. That means 368 00:19:51,520 --> 00:19:55,720 Speaker 2: thirteen percent of kids going to college college and you 369 00:19:55,840 --> 00:19:59,680 Speaker 2: see San Diego don't test at first grade math level 370 00:19:59,680 --> 00:20:03,119 Speaker 2: and only nineteen percent nineteen percent, I means I'm not 371 00:20:03,200 --> 00:20:06,000 Speaker 2: good at math, but eighty one percent do not test 372 00:20:06,119 --> 00:20:10,399 Speaker 2: at eighth grade level. These numbers are absolutely bananas. 373 00:20:11,040 --> 00:20:13,600 Speaker 1: No, it's so frightening. And the thing is, as you said, 374 00:20:13,640 --> 00:20:15,720 Speaker 1: it's not just pandemic learning loss, although that is a 375 00:20:15,800 --> 00:20:22,760 Speaker 1: huge hit. It is years of great inflation. Like honestly, 376 00:20:22,960 --> 00:20:26,760 Speaker 1: much of the DEI problem so much college people, people 377 00:20:26,800 --> 00:20:31,639 Speaker 1: being picked not for skills, standardized tests being foregone in 378 00:20:31,760 --> 00:20:34,879 Speaker 1: order to get people into college. So you don't and 379 00:20:35,359 --> 00:20:38,560 Speaker 1: just like general parents and teachers, I think, not having 380 00:20:38,800 --> 00:20:44,560 Speaker 1: high expectations and instead papering it all over with fake grades. 381 00:20:44,920 --> 00:20:47,640 Speaker 1: And when you paper it all over with fake grades, 382 00:20:48,560 --> 00:20:52,120 Speaker 1: you will not learn things. Yeah, and like that, that's 383 00:20:52,119 --> 00:20:54,520 Speaker 1: a lesson that's hard for everyone to learn. I mean there, 384 00:20:54,840 --> 00:20:57,439 Speaker 1: I was not great at math. I struggled with it 385 00:20:57,480 --> 00:21:00,959 Speaker 1: as the same girl, and you had to to push 386 00:21:01,200 --> 00:21:03,800 Speaker 1: through and learn the skills. And when you push through 387 00:21:03,800 --> 00:21:05,960 Speaker 1: and learn the skills, not only do you learn the skill, 388 00:21:06,119 --> 00:21:07,760 Speaker 1: but you learn that you can learn things. 389 00:21:08,160 --> 00:21:12,080 Speaker 2: Yep, yep. It gives you a sense of pride and 390 00:21:12,160 --> 00:21:14,680 Speaker 2: the self esteem that they so claim to want the 391 00:21:14,760 --> 00:21:18,400 Speaker 2: kids to have. To let them struggle and then succeed 392 00:21:18,440 --> 00:21:22,600 Speaker 2: at something. It's not removing the struggle that brings that 393 00:21:22,720 --> 00:21:26,840 Speaker 2: self esteem. Also about the DEI stuff. I maintain that 394 00:21:27,200 --> 00:21:32,000 Speaker 2: pushing nonsense curriculums in schools in arkde through twelve schools, 395 00:21:32,520 --> 00:21:36,960 Speaker 2: every minute that they spend on land acknowledgements and you know, 396 00:21:37,600 --> 00:21:41,000 Speaker 2: pretending that boys can become girls and vice versa, is 397 00:21:41,040 --> 00:21:43,200 Speaker 2: a minute that they're not spending on math and reading. 398 00:21:43,760 --> 00:21:46,880 Speaker 2: That's why classical education has become so popular across America, 399 00:21:46,920 --> 00:21:50,440 Speaker 2: because people are like, I want them to learn how 400 00:21:50,440 --> 00:21:53,520 Speaker 2: to read and write and do math and not all 401 00:21:53,560 --> 00:21:54,959 Speaker 2: this other stuff that you're pushing. 402 00:21:55,520 --> 00:21:59,080 Speaker 1: Yeah, it's funny because public school teachers and school boards 403 00:21:59,119 --> 00:22:01,320 Speaker 1: and union leaders will tell you all the time that 404 00:22:01,400 --> 00:22:05,119 Speaker 1: public school teachers are overwhelmed, that they have a bandwidth 405 00:22:05,160 --> 00:22:07,600 Speaker 1: issue there are so many children at so many levels, 406 00:22:07,600 --> 00:22:10,600 Speaker 1: and some of that is certainly true. But then they'll 407 00:22:10,640 --> 00:22:14,400 Speaker 1: also tell you that gender ideology instruction and social emotional 408 00:22:14,480 --> 00:22:18,439 Speaker 1: learning takes nothing away from what they're doing with the 409 00:22:18,480 --> 00:22:21,840 Speaker 1: reading and the math, which they're failing at in huge numbers. 410 00:22:22,040 --> 00:22:24,399 Speaker 1: I want to say a word about the local Northern 411 00:22:24,440 --> 00:22:28,200 Speaker 1: Virginia schools which are in this deep blue area and 412 00:22:28,880 --> 00:22:32,760 Speaker 1: are were, before the pandemic, a real crown jewel of 413 00:22:32,800 --> 00:22:35,879 Speaker 1: the state. When it came to public education in general, 414 00:22:35,920 --> 00:22:37,960 Speaker 1: there were a lot of as some of the best 415 00:22:38,040 --> 00:22:41,080 Speaker 1: in the country, but now not so much. And one 416 00:22:41,080 --> 00:22:43,320 Speaker 1: of the things that the Virginia Department of Education did 417 00:22:43,440 --> 00:22:48,159 Speaker 1: under Yunkin this year is bump up the state end 418 00:22:48,200 --> 00:22:52,160 Speaker 1: of grade testing levels that would would be deemed proficient 419 00:22:52,400 --> 00:22:55,600 Speaker 1: because they want to set high expectations. They want to 420 00:22:55,720 --> 00:23:00,879 Speaker 1: chart accurately where students are. And my local school, of course, 421 00:23:01,080 --> 00:23:05,840 Speaker 1: is like this is bad. They have full debate about 422 00:23:05,880 --> 00:23:09,760 Speaker 1: how raising these expectations is bad because what they want 423 00:23:09,760 --> 00:23:13,439 Speaker 1: to do is have the expectations lower and pretend like 424 00:23:13,520 --> 00:23:18,360 Speaker 1: they're succeeding. That is their desire, stated desire in public 425 00:23:18,560 --> 00:23:21,920 Speaker 1: at school board meetings, right, is that high expectations would 426 00:23:21,920 --> 00:23:23,399 Speaker 1: tell the truth about what they're doing. 427 00:23:23,640 --> 00:23:26,399 Speaker 5: And they don't like yeah, yeah, And I want to 428 00:23:26,440 --> 00:23:28,800 Speaker 5: I want to note one guy in particular on our 429 00:23:28,960 --> 00:23:33,000 Speaker 5: board who has this insane quote because they're they're complaining 430 00:23:33,040 --> 00:23:35,320 Speaker 5: about a decline in student enrollment. 431 00:23:35,760 --> 00:23:39,119 Speaker 1: Gee, what could have happened? I want that made the 432 00:23:39,160 --> 00:23:41,480 Speaker 1: students leave because they don't get their money when they 433 00:23:41,480 --> 00:23:45,080 Speaker 1: don't have enrollment. Yeah, and he says, I'll bet you 434 00:23:45,240 --> 00:23:48,720 Speaker 1: dollars to donuts that any public school in our county 435 00:23:49,000 --> 00:23:51,919 Speaker 1: will give a kid a better education than homeschooling or 436 00:23:51,960 --> 00:23:55,800 Speaker 1: private school, regardless of the school or how qualified the 437 00:23:55,840 --> 00:23:57,479 Speaker 1: students are that are teaching. 438 00:23:57,880 --> 00:23:58,240 Speaker 4: Yeah. 439 00:23:58,400 --> 00:24:03,680 Speaker 1: Sure, that is such an insane statement to make when 440 00:24:03,680 --> 00:24:07,040 Speaker 1: you have in front of you the ways you're failing. 441 00:24:07,760 --> 00:24:10,280 Speaker 1: But they want to project all of that on anyone 442 00:24:10,320 --> 00:24:14,680 Speaker 1: who left the system to escape their incompetence. 443 00:24:15,080 --> 00:24:18,000 Speaker 2: It's crazy because there are numbers on this kind of stuff, 444 00:24:18,160 --> 00:24:21,399 Speaker 2: and it's not homeschooling kids showing up to college not 445 00:24:21,560 --> 00:24:25,280 Speaker 2: knowing extremely basic math from first grade. 446 00:24:25,840 --> 00:24:27,840 Speaker 1: We got a lot of work to do. The Mississippi 447 00:24:27,880 --> 00:24:30,320 Speaker 1: miracle needs to move on to math, and we got 448 00:24:30,359 --> 00:24:32,359 Speaker 1: to have it all over the country eventually because we 449 00:24:32,440 --> 00:24:35,960 Speaker 1: are losing ground and the section connected to that H 450 00:24:36,040 --> 00:24:39,000 Speaker 1: one B issue as well. Right right you are if 451 00:24:39,000 --> 00:24:42,800 Speaker 1: you are sending people to college who can't do first 452 00:24:42,840 --> 00:24:46,040 Speaker 1: grade math, yes, we are going to have a smaller 453 00:24:46,080 --> 00:24:48,280 Speaker 1: pool coming out of those education systems that can do 454 00:24:48,320 --> 00:24:50,080 Speaker 1: the things we need them to do. Period. 455 00:24:50,520 --> 00:24:55,240 Speaker 2: Yeah absolutely, woof Yeah, all right, the kids they need 456 00:24:55,280 --> 00:24:55,800 Speaker 2: to read good. 457 00:24:55,840 --> 00:24:58,840 Speaker 1: That's it. We're putting our foot down on it. 458 00:24:59,000 --> 00:25:01,280 Speaker 2: Yeah, all right, we'll be right back with more on 459 00:25:01,440 --> 00:25:05,479 Speaker 2: normally do we need a village to raise the children. 460 00:25:05,720 --> 00:25:11,879 Speaker 1: Maybe all right, we are back on normally with a 461 00:25:11,920 --> 00:25:16,520 Speaker 1: discussion of does it take a village. There's a piece 462 00:25:16,560 --> 00:25:19,160 Speaker 1: in the Atlantic this week called the most useless piece 463 00:25:19,200 --> 00:25:23,080 Speaker 1: of parenting advice, The problem with telling moms quote it 464 00:25:23,119 --> 00:25:27,080 Speaker 1: takes a village. And it's a writer who complains that, like, look, 465 00:25:27,160 --> 00:25:29,480 Speaker 1: she had some help here and there, but in fact, 466 00:25:29,520 --> 00:25:34,359 Speaker 1: building a village is hard or nearly impossible for many 467 00:25:35,000 --> 00:25:37,440 Speaker 1: women once they have kids. She says, not every mother 468 00:25:37,520 --> 00:25:39,920 Speaker 1: is able to create a village of free or cheap 469 00:25:39,960 --> 00:25:42,960 Speaker 1: helpers whom they already know. Times have changed since millennials 470 00:25:42,960 --> 00:25:45,480 Speaker 1: were little and neighborhoods had lots of stay at home 471 00:25:45,480 --> 00:25:48,000 Speaker 1: moms available to pitch in. For nearly seventy percent of 472 00:25:48,080 --> 00:25:50,720 Speaker 1: kids under six, today, both parents work, compared with half 473 00:25:50,760 --> 00:25:53,080 Speaker 1: in nineteen eighty five. Your friends with kids might not 474 00:25:53,080 --> 00:25:54,960 Speaker 1: be able to do school pick up in an emergency 475 00:25:54,960 --> 00:25:57,480 Speaker 1: because they too might be working. We just don't have 476 00:25:57,520 --> 00:26:01,159 Speaker 1: as many people around, Elliott Haspell, a childcare researcher who 477 00:26:01,200 --> 00:26:02,879 Speaker 1: has written for the Atlantic, told me there were just 478 00:26:02,960 --> 00:26:09,399 Speaker 1: fewer people physically available to call. So she's saying, like, great, 479 00:26:09,560 --> 00:26:12,119 Speaker 1: thanks for telling me to build a village. This feels 480 00:26:12,160 --> 00:26:13,919 Speaker 1: like yet another thing on my to do list that 481 00:26:14,000 --> 00:26:17,400 Speaker 1: I cannot do. And I'm just wondering what your take 482 00:26:17,480 --> 00:26:18,840 Speaker 1: is on the village, Carol. 483 00:26:19,160 --> 00:26:22,439 Speaker 2: So it's funny because I had a village. I have 484 00:26:22,600 --> 00:26:25,119 Speaker 2: a village, but less of one in Florida, but I 485 00:26:25,160 --> 00:26:30,159 Speaker 2: absolutely had the village in Brooklyn. My mom was super involved. 486 00:26:30,280 --> 00:26:33,280 Speaker 2: My brother would literally pick up the kids from school 487 00:26:33,440 --> 00:26:36,280 Speaker 2: several days a week before he had his own kids. 488 00:26:36,640 --> 00:26:40,359 Speaker 2: My in laws were incredible and super involved. My sister 489 00:26:40,440 --> 00:26:44,560 Speaker 2: in law, my husband's sister, also was super involved, and 490 00:26:44,640 --> 00:26:47,120 Speaker 2: his brother as well. We had that, we had it, 491 00:26:47,320 --> 00:26:50,080 Speaker 2: and we had it because we had family that lived 492 00:26:50,080 --> 00:26:53,320 Speaker 2: close together and there were certain expectations. It also helped 493 00:26:53,359 --> 00:26:57,560 Speaker 2: we had the only grandchildren at the time, right, But there, yeah, 494 00:26:57,600 --> 00:27:00,680 Speaker 2: look in our culture, there are certain expectations. My mother 495 00:27:00,720 --> 00:27:03,320 Speaker 2: and I never discussed it, but when I had my 496 00:27:03,440 --> 00:27:06,080 Speaker 2: second child and she saw that I was drowning, she 497 00:27:06,200 --> 00:27:08,280 Speaker 2: started coming to my house every day at six in 498 00:27:08,280 --> 00:27:12,240 Speaker 2: the morning with no discussion. Now, the problem with the village, 499 00:27:12,240 --> 00:27:15,800 Speaker 2: I mean, there's several problems with it. When my mother 500 00:27:16,080 --> 00:27:18,199 Speaker 2: would give them Swedish fish in the middle of the 501 00:27:18,240 --> 00:27:21,560 Speaker 2: day or chocolate or cookies. I could say, please, don't 502 00:27:21,600 --> 00:27:23,840 Speaker 2: do that, and she could wave her hand at me, like, 503 00:27:23,920 --> 00:27:26,679 Speaker 2: I'm going to do that anyway, because part of the 504 00:27:26,760 --> 00:27:29,919 Speaker 2: thing of an unpaid village is you do things the 505 00:27:29,960 --> 00:27:32,640 Speaker 2: way they want sometimes, so you have to give in 506 00:27:32,760 --> 00:27:35,840 Speaker 2: a little bit. Otherwise you can. And she addresses this 507 00:27:35,960 --> 00:27:37,960 Speaker 2: in the piece. She could say that you could. 508 00:27:38,119 --> 00:27:39,240 Speaker 1: Buy a village. 509 00:27:39,320 --> 00:27:41,040 Speaker 2: You know, I don't have a village, so I buy one, 510 00:27:41,520 --> 00:27:44,480 Speaker 2: she writes. Some of these moms have nannies, house cleaners, 511 00:27:44,480 --> 00:27:47,560 Speaker 2: dog walkers, and house managers that they have less expensive villagers. 512 00:27:47,920 --> 00:27:50,240 Speaker 2: Various moms told me that the mc donald's drive through, 513 00:27:50,280 --> 00:27:53,520 Speaker 2: Instacart and door dash, where their village paying people, is 514 00:27:53,560 --> 00:27:55,720 Speaker 2: a remedy for not having a village, And indeed it's 515 00:27:55,760 --> 00:27:57,760 Speaker 2: the one that I chose. But it's hardly a solution 516 00:27:57,880 --> 00:28:00,359 Speaker 2: for everyone, or even for most people. But for me, 517 00:28:01,119 --> 00:28:05,480 Speaker 2: I'd rather have my family than a nanny that I hire, 518 00:28:05,760 --> 00:28:07,720 Speaker 2: and I know that that's not the case for a 519 00:28:07,800 --> 00:28:10,719 Speaker 2: lot of people. I was willing to bend on the 520 00:28:10,760 --> 00:28:14,040 Speaker 2: things that I don't like in order to have people 521 00:28:14,080 --> 00:28:17,280 Speaker 2: that I you know, I'm related to be the caretakers 522 00:28:17,320 --> 00:28:19,000 Speaker 2: of my children. And I say to my own kids. 523 00:28:19,320 --> 00:28:22,760 Speaker 2: If you stay close to where I am, I promise 524 00:28:22,840 --> 00:28:24,919 Speaker 2: to be there in the same capacity. I will be 525 00:28:25,520 --> 00:28:28,280 Speaker 2: the person you can count on when you're you know, 526 00:28:28,320 --> 00:28:31,120 Speaker 2: to pick up the kids from school, or to really 527 00:28:31,119 --> 00:28:32,680 Speaker 2: show up at your house in the morning, get them 528 00:28:32,680 --> 00:28:34,520 Speaker 2: off to school, all of it. I'll be there if 529 00:28:34,520 --> 00:28:35,600 Speaker 2: you stay close to me. 530 00:28:36,200 --> 00:28:39,040 Speaker 1: This piece sort of misses the trade off bit, and 531 00:28:39,080 --> 00:28:41,280 Speaker 1: I do think that's what keeps a lot like. There's 532 00:28:41,280 --> 00:28:44,600 Speaker 1: a geography problem where many young families don't work close 533 00:28:44,640 --> 00:28:47,800 Speaker 1: to extended family anymore, and that's sort of the case 534 00:28:47,840 --> 00:28:50,520 Speaker 1: with us. But we have two wonderful sets of grandparents 535 00:28:50,560 --> 00:28:53,120 Speaker 1: who will travel here to hang out with our kids, 536 00:28:53,560 --> 00:28:57,160 Speaker 1: sometimes for an overnight or a weekend, and that is wonderful. 537 00:28:57,280 --> 00:29:00,840 Speaker 1: We also can go to them pretty easily, and they're 538 00:29:00,920 --> 00:29:03,960 Speaker 1: fit and able to do that. You do give something 539 00:29:04,360 --> 00:29:07,880 Speaker 1: in a village situation, right, if you have a mother 540 00:29:07,920 --> 00:29:10,600 Speaker 1: in law who lives in your home, for instance, as 541 00:29:10,640 --> 00:29:13,520 Speaker 1: one of my friends does, you're giving up some autonomy. 542 00:29:13,560 --> 00:29:16,520 Speaker 1: You're giving up the ability to dictate everything that happens 543 00:29:16,520 --> 00:29:19,040 Speaker 1: with your children. You're giving up some space, some you know, 544 00:29:19,120 --> 00:29:22,320 Speaker 1: the privacy, all these things. I think that's sort of 545 00:29:22,480 --> 00:29:25,520 Speaker 1: missed in these discussions, as is the idea that, like 546 00:29:26,120 --> 00:29:28,120 Speaker 1: a lot of people are in a community, say you 547 00:29:28,160 --> 00:29:31,160 Speaker 1: don't have your extended family around you, and your desire 548 00:29:31,280 --> 00:29:34,600 Speaker 1: is that once you've had a baby, that immediately a 549 00:29:34,680 --> 00:29:38,120 Speaker 1: village should show up for you, right right. And the 550 00:29:38,240 --> 00:29:40,720 Speaker 1: thing is you got to work on that before you're 551 00:29:40,840 --> 00:29:44,360 Speaker 1: in the moment. Yeah. So, for instance, I've fallen into 552 00:29:44,360 --> 00:29:48,160 Speaker 1: this group of lovely military spouses, marine and army moms 553 00:29:48,240 --> 00:29:53,360 Speaker 1: who live near me, and they are fantastic at actively 554 00:29:53,440 --> 00:29:57,880 Speaker 1: creating community because they have to move around and create 555 00:29:57,880 --> 00:30:01,320 Speaker 1: a community everywhere they go every two years. So when 556 00:30:01,320 --> 00:30:05,200 Speaker 1: they land, they hit the ground running. They are in 557 00:30:05,200 --> 00:30:08,000 Speaker 1: a church, they are in Scouts, they are in the school. 558 00:30:08,160 --> 00:30:10,600 Speaker 1: And because I've fallen in with them, and because I 559 00:30:10,600 --> 00:30:12,400 Speaker 1: think I had my own crisis in my own life 560 00:30:12,440 --> 00:30:16,120 Speaker 1: where people really showed up for me, I have adopted 561 00:30:16,160 --> 00:30:20,000 Speaker 1: better habits of when I know someone's in a place, 562 00:30:20,360 --> 00:30:22,920 Speaker 1: let me be the person who takes the thing over. 563 00:30:23,200 --> 00:30:25,640 Speaker 1: Let me be the person who says, let me grab 564 00:30:25,640 --> 00:30:27,280 Speaker 1: your kids and take them to the park. Would that 565 00:30:27,360 --> 00:30:30,960 Speaker 1: help you out? If you're not depositing in the. 566 00:30:30,920 --> 00:30:35,120 Speaker 2: Bank, exactly, you really can't withdraw yeah, it's tough. I 567 00:30:35,200 --> 00:30:37,320 Speaker 2: think it was Tim Carney. I didn't look this up, 568 00:30:37,320 --> 00:30:39,200 Speaker 2: but I think it was Tim Karney, who actually talks 569 00:30:39,200 --> 00:30:42,240 Speaker 2: about the village often. But he said, you know, if 570 00:30:42,280 --> 00:30:44,920 Speaker 2: you are hoping for somebody to help you with childcare 571 00:30:45,000 --> 00:30:47,000 Speaker 2: in your village, you're going to have to help like 572 00:30:47,280 --> 00:30:49,760 Speaker 2: the old man on your street, move like you're gonna 573 00:30:50,120 --> 00:30:53,080 Speaker 2: you know, you have to participate in the village. You 574 00:30:53,080 --> 00:30:55,880 Speaker 2: can't just be like, all right, guys, I need child care. 575 00:30:56,000 --> 00:30:57,000 Speaker 2: Who's in it? 576 00:30:57,720 --> 00:31:00,600 Speaker 1: Of things that I need? And y'all just come to me? 577 00:31:00,840 --> 00:31:03,040 Speaker 1: Now there are like I would say, in my crisis 578 00:31:03,040 --> 00:31:05,480 Speaker 1: situation when my husband died in twenty fifteen, that was 579 00:31:05,520 --> 00:31:09,240 Speaker 1: such a dire situation that a village kind of did 580 00:31:09,320 --> 00:31:12,360 Speaker 1: form around me that was much bigger than the one 581 00:31:12,400 --> 00:31:16,560 Speaker 1: that I had probably established before that. I also learned 582 00:31:16,600 --> 00:31:20,000 Speaker 1: to ask for help and to accept help in different 583 00:31:20,080 --> 00:31:23,560 Speaker 1: forms than I might otherwise have dictated, because I was 584 00:31:23,840 --> 00:31:26,400 Speaker 1: placed where I needed that. And so I do think 585 00:31:26,560 --> 00:31:28,520 Speaker 1: this piece and a lot of these pieces missed the 586 00:31:28,560 --> 00:31:33,200 Speaker 1: part where you got to like do some of that right. Absolutely, 587 00:31:33,560 --> 00:31:35,400 Speaker 1: And it is tough. You got a lot on your plate. 588 00:31:35,520 --> 00:31:38,160 Speaker 1: But if it's also good for you to do this 589 00:31:38,360 --> 00:31:40,720 Speaker 1: kind of thing. I would also like to note that 590 00:31:40,800 --> 00:31:44,680 Speaker 1: this same author wrote a piece called how baby led 591 00:31:44,720 --> 00:31:48,440 Speaker 1: weaning Ruined My Life, which you should not let any 592 00:31:48,880 --> 00:31:52,040 Speaker 1: parenting philosophy ruin your life. And I would just say, 593 00:31:52,080 --> 00:31:55,920 Speaker 1: maybe she has a tough time with these kinds of concepts. 594 00:31:56,240 --> 00:31:58,360 Speaker 1: It is a puzzle in these modern times, but there 595 00:31:58,400 --> 00:32:01,080 Speaker 1: are ways you can improve situation. 596 00:32:01,400 --> 00:32:04,000 Speaker 2: Yes, you have to bend. I mean that's really that's 597 00:32:04,000 --> 00:32:07,000 Speaker 2: where it comes down to. You have to bend to 598 00:32:07,920 --> 00:32:11,240 Speaker 2: get all of these things that you hear about and 599 00:32:11,680 --> 00:32:14,960 Speaker 2: keep seeing these pieces about people needing a village, build 600 00:32:15,000 --> 00:32:15,920 Speaker 2: the village, build it. 601 00:32:16,120 --> 00:32:16,239 Speaker 3: Well. 602 00:32:16,840 --> 00:32:19,240 Speaker 1: One more thing that I would say, and I'm sure 603 00:32:19,240 --> 00:32:22,520 Speaker 1: you have experience with this in your immigrant community. One 604 00:32:22,560 --> 00:32:25,320 Speaker 1: of the things I think in the type of community 605 00:32:25,320 --> 00:32:27,480 Speaker 1: that this author lives in, I think there's a lot 606 00:32:27,520 --> 00:32:30,280 Speaker 1: of like apprehension about can I bring a lasagna to 607 00:32:30,320 --> 00:32:34,520 Speaker 1: your door? Do you have eighteen dietary restrictions? Yeah, to 608 00:32:34,600 --> 00:32:37,600 Speaker 1: some extent, you got to pushy your way right past 609 00:32:37,720 --> 00:32:41,880 Speaker 1: the social boundaries and just do the thing. The mill 610 00:32:41,960 --> 00:32:44,800 Speaker 1: spouse community is also Southern, which means we're like very 611 00:32:44,880 --> 00:32:47,560 Speaker 1: natural going to take food to people. 612 00:32:47,680 --> 00:32:48,800 Speaker 2: They sound awesome. 613 00:32:49,400 --> 00:32:52,560 Speaker 1: They are truly awesome, and I actually ask them for 614 00:32:52,680 --> 00:32:55,600 Speaker 1: some of their tips and those like the joining the church, 615 00:32:55,880 --> 00:32:57,200 Speaker 1: having a Scout group. 616 00:32:58,000 --> 00:33:00,240 Speaker 2: Forming community. Wow, who would have? Well? 617 00:33:00,880 --> 00:33:04,320 Speaker 1: Yeah, also just diving in and I think that's part 618 00:33:04,320 --> 00:33:06,960 Speaker 1: of it, like you have to just do the thing, 619 00:33:07,240 --> 00:33:10,120 Speaker 1: even though you're busy, even though it's hard, even though 620 00:33:10,160 --> 00:33:12,680 Speaker 1: it feels weird to show up on someone's doorstep, but 621 00:33:12,720 --> 00:33:13,480 Speaker 1: you gotta do it. 622 00:33:13,800 --> 00:33:15,959 Speaker 2: I'm going to start making lasagna as a showing up 623 00:33:15,960 --> 00:33:18,640 Speaker 2: on doorsteps. I really am. I fool like that. I 624 00:33:18,680 --> 00:33:21,440 Speaker 2: need to do a little better in Florida. I'm, you know, trying, 625 00:33:21,600 --> 00:33:22,960 Speaker 2: but you need to try a little harder. 626 00:33:23,360 --> 00:33:24,760 Speaker 1: Yep, I get it. 627 00:33:25,200 --> 00:33:25,360 Speaker 5: Well. 628 00:33:25,360 --> 00:33:28,800 Speaker 2: Thanks for joining us on Normally Normally airs Tuesdays and Thursdays, 629 00:33:28,840 --> 00:33:32,040 Speaker 2: and you can subscribe anywhere you get your podcasts. Get 630 00:33:32,080 --> 00:33:35,400 Speaker 2: in touch with us at normallythepod at gmail dot com. 631 00:33:35,560 --> 00:33:38,520 Speaker 2: Thanks for listening, and when things get weird, act normally