1 00:00:11,697 --> 00:00:14,977 Speaker 1: You're listening to the Buck Sexton Show podcast, make sure 2 00:00:15,017 --> 00:00:18,017 Speaker 1: you subscribe to the podcast on the iHeartRadio app or 3 00:00:18,057 --> 00:00:20,057 Speaker 1: wherever you get your podcasts. 4 00:00:20,657 --> 00:00:23,377 Speaker 2: Hey, everybody, welcome to the Buck Brief. On this episode, 5 00:00:23,457 --> 00:00:28,337 Speaker 2: Jamie Franklin joins. She is the founder of Conservator. She 6 00:00:28,617 --> 00:00:33,217 Speaker 2: is a conservative Generation Z commentator, right your gen Z, 7 00:00:33,377 --> 00:00:36,657 Speaker 2: which is exciting. I'm an old millennial, so I feel like, 8 00:00:36,777 --> 00:00:39,737 Speaker 2: you know, I used to be hip. But we're going 9 00:00:39,777 --> 00:00:44,257 Speaker 2: to talk about the Kamala campaign here, And first off, 10 00:00:44,817 --> 00:00:47,417 Speaker 2: I didn't know that you're going to explain this to me. Okay, 11 00:00:47,497 --> 00:00:51,457 Speaker 2: you're coming from a young, young female conservative perspective, this 12 00:00:51,617 --> 00:00:57,057 Speaker 2: call her Daddy interview that Kamala did. I don't really 13 00:00:57,057 --> 00:01:00,737 Speaker 2: I had heard of this before this podcast. I've heard 14 00:01:00,737 --> 00:01:03,337 Speaker 2: a couple of clips of it. What I was shocked 15 00:01:03,377 --> 00:01:07,137 Speaker 2: by was how popular this apparently is. Like, tell me 16 00:01:07,177 --> 00:01:10,057 Speaker 2: about this, because I feel like I had no idea. 17 00:01:10,217 --> 00:01:12,777 Speaker 2: There are so many young women out there who want 18 00:01:12,817 --> 00:01:15,737 Speaker 2: to hear the kind of stuff that this woman's talking about. 19 00:01:15,857 --> 00:01:19,297 Speaker 2: So where did this call her Daddy phenomenon come from? 20 00:01:20,537 --> 00:01:23,897 Speaker 1: I know it's it's honestly a little depressing. I think 21 00:01:23,937 --> 00:01:27,297 Speaker 1: it's rated right now. The second most popular podcasts in 22 00:01:27,337 --> 00:01:30,697 Speaker 1: America behind Joe Rogan. Joe Rogan, I feel like, is 23 00:01:30,697 --> 00:01:32,937 Speaker 1: what a lot of guys listen to, which you know, talks. 24 00:01:33,057 --> 00:01:36,657 Speaker 1: He brings on scientists, Amazon expert people who explore the 25 00:01:36,697 --> 00:01:37,577 Speaker 1: Amazon and everything. 26 00:01:37,857 --> 00:01:39,737 Speaker 2: I listened to that Amazon guy by the way, that 27 00:01:39,777 --> 00:01:42,417 Speaker 2: was really interesting. I liked the bee lady too, who 28 00:01:42,537 --> 00:01:44,897 Speaker 2: does all the bees like like this? You know, I 29 00:01:44,937 --> 00:01:47,337 Speaker 2: don't know if you saw that one anyway, that's Rogan. 30 00:01:47,417 --> 00:01:50,337 Speaker 1: Yeah, he has some interesting guests on that I think 31 00:01:50,377 --> 00:01:54,577 Speaker 1: bring a lot of interesting information. Call Her Daddy is 32 00:01:54,657 --> 00:01:58,137 Speaker 1: very different. She started a few years ago. I've never 33 00:01:58,217 --> 00:02:00,937 Speaker 1: listened really. I actually listened to the Kamala episode too 34 00:02:02,137 --> 00:02:04,377 Speaker 1: for this podcast. I had to do it for everyone, 35 00:02:04,457 --> 00:02:06,177 Speaker 1: but that was the only podcast I've ever listened to 36 00:02:06,177 --> 00:02:08,937 Speaker 1: of hers. But it's huge if young women. I think 37 00:02:08,937 --> 00:02:10,497 Speaker 1: it's a huge part of the cold sure that we're 38 00:02:10,497 --> 00:02:12,337 Speaker 1: seeing today. And I think a lot of conservatives were 39 00:02:12,337 --> 00:02:15,057 Speaker 1: really shocked after the overturning of Roe v. 40 00:02:15,137 --> 00:02:17,297 Speaker 3: Wade how popular abortion is with women. 41 00:02:17,777 --> 00:02:21,057 Speaker 1: And I definitely think her and other outlets are exactly 42 00:02:21,097 --> 00:02:24,217 Speaker 1: the reason for that. It's, you know, just the epitome 43 00:02:24,217 --> 00:02:27,977 Speaker 1: a fifth wave of feminism and just cultural decay and 44 00:02:28,457 --> 00:02:29,777 Speaker 1: sexual promiscuity. 45 00:02:30,977 --> 00:02:33,097 Speaker 2: Yeah, the stuff that I was here in And again, 46 00:02:33,137 --> 00:02:34,857 Speaker 2: I don't want to sound like, you know, I got 47 00:02:34,857 --> 00:02:36,337 Speaker 2: a little touch of gray in the beard here. I 48 00:02:36,337 --> 00:02:38,017 Speaker 2: don't want to sound like the old man who's like, 49 00:02:38,057 --> 00:02:41,657 Speaker 2: what are the kids talking about these days? But the stuff, 50 00:02:41,697 --> 00:02:43,977 Speaker 2: I mean, what she gets into on that podcast. I've 51 00:02:43,977 --> 00:02:46,977 Speaker 2: seen some clips. It's like very graphic. I mean, it's 52 00:02:47,017 --> 00:02:51,217 Speaker 2: about as graphic as words can be. And Kamala Harris 53 00:02:51,297 --> 00:02:53,937 Speaker 2: wants to be president. She's sitting there, she does very 54 00:02:53,977 --> 00:02:58,217 Speaker 2: few interviews. Why does she choose Call her Daddy as 55 00:02:58,257 --> 00:03:00,657 Speaker 2: the podcast that she's going to sit down with among 56 00:03:01,097 --> 00:03:02,617 Speaker 2: just a handful that she has done. 57 00:03:03,737 --> 00:03:06,097 Speaker 1: I mean, they're definitely vying for the young woman vote. 58 00:03:06,097 --> 00:03:08,417 Speaker 1: That's the base of the Democratic Party now it's all 59 00:03:08,497 --> 00:03:12,097 Speaker 1: young women. I mean someone tweeted out that Trump went 60 00:03:12,137 --> 00:03:14,377 Speaker 1: on Dave Ramsey last week to talk about the economy 61 00:03:14,417 --> 00:03:17,297 Speaker 1: and Kamala went on Call Her Daddy to talk about 62 00:03:17,337 --> 00:03:20,697 Speaker 1: abortion and all of those issues, and so definitely shows 63 00:03:20,697 --> 00:03:21,977 Speaker 1: the contrast on you know. 64 00:03:21,977 --> 00:03:23,857 Speaker 3: Where the base of the party and the issues are. 65 00:03:24,897 --> 00:03:25,857 Speaker 3: I was in shock. 66 00:03:25,977 --> 00:03:28,537 Speaker 1: I went on her Twitter they call her daddy Twitter 67 00:03:28,577 --> 00:03:30,937 Speaker 1: and I typed in some key words when we were 68 00:03:30,937 --> 00:03:33,657 Speaker 1: pulling up some graphics to put out on the Conservator, 69 00:03:33,737 --> 00:03:36,097 Speaker 1: and I was actually in shock by some of the 70 00:03:36,137 --> 00:03:38,777 Speaker 1: stuff I read on there. It's it's really depraved, Like 71 00:03:38,857 --> 00:03:41,777 Speaker 1: it's very upsetting and depressing that this is what a 72 00:03:41,777 --> 00:03:44,097 Speaker 1: lot of women, especially young women who are coming of 73 00:03:44,137 --> 00:03:46,297 Speaker 1: age and might not know better, and this is what. 74 00:03:46,217 --> 00:03:48,497 Speaker 3: They are consuming on a regular basis. 75 00:03:48,937 --> 00:03:51,737 Speaker 1: And I think, you know, we need to have media 76 00:03:51,777 --> 00:03:54,737 Speaker 1: outlets that attract more women and counteract these messages because 77 00:03:54,777 --> 00:03:57,297 Speaker 1: it's I think really damaging to young women if they 78 00:03:58,017 --> 00:04:02,537 Speaker 1: behave and if they follow the advice of Alex Cooper. 79 00:04:03,177 --> 00:04:05,297 Speaker 2: Yeah, I mean, you're you're a young conservative woman. You've 80 00:04:05,337 --> 00:04:09,457 Speaker 2: got conservatur which you founded online, and so I know 81 00:04:09,537 --> 00:04:12,737 Speaker 2: there are some places for women who have a young 82 00:04:12,737 --> 00:04:16,057 Speaker 2: women who have a right of center opinion to go to. 83 00:04:16,257 --> 00:04:19,617 Speaker 2: But it does feel like the ecosystem, especially for women 84 00:04:19,737 --> 00:04:25,217 Speaker 2: aged sixteen to thirty, you know, or eighteen to thirty five, 85 00:04:25,417 --> 00:04:30,457 Speaker 2: or however you want to slice the demographic, they're just there. 86 00:04:30,657 --> 00:04:35,697 Speaker 2: It's dominated by these far left voices, like young women 87 00:04:36,217 --> 00:04:38,097 Speaker 2: have been you know, men are going in the other direction. 88 00:04:38,217 --> 00:04:40,337 Speaker 2: Young men are going in the other direction. Young men 89 00:04:40,377 --> 00:04:43,057 Speaker 2: are becoming increasingly conservative, it feels like young women are 90 00:04:43,097 --> 00:04:45,577 Speaker 2: becoming increasingly left wing. What's going on? 91 00:04:46,817 --> 00:04:48,337 Speaker 3: I could not agree more. 92 00:04:48,457 --> 00:04:50,657 Speaker 1: And I think a lot of conservative men, like yourself, 93 00:04:50,777 --> 00:04:51,977 Speaker 1: you know, you're not going to go and pick up 94 00:04:52,017 --> 00:04:54,257 Speaker 1: Vogue magazine right when you're at the airport like women do. 95 00:04:54,337 --> 00:04:56,737 Speaker 1: So I don't feel a lot of you guys saw 96 00:04:56,857 --> 00:04:59,897 Speaker 1: this coming. But that was really the reason why I 97 00:04:59,937 --> 00:05:03,057 Speaker 1: started the Conservatoire back in twenty twenty, because I was 98 00:05:03,097 --> 00:05:04,977 Speaker 1: just I always wanted to go into fashion actually, and 99 00:05:05,217 --> 00:05:07,617 Speaker 1: I was interested being a journalist and I went to 100 00:05:07,657 --> 00:05:10,297 Speaker 1: fashion school and all these things when I was also 101 00:05:10,297 --> 00:05:12,657 Speaker 1: went to Berkeley, but I did both, and I was 102 00:05:12,697 --> 00:05:14,817 Speaker 1: just like, I don't belong here, like there's no place 103 00:05:14,857 --> 00:05:16,857 Speaker 1: for this. And when I was at Berkeley as well, 104 00:05:16,897 --> 00:05:19,457 Speaker 1: I just couldn't believe, you know, I grew up going 105 00:05:19,457 --> 00:05:21,617 Speaker 1: to Catholic school my entire life, and just going to 106 00:05:21,737 --> 00:05:24,097 Speaker 1: cal Berkeley and seeing the culture there, especially with young 107 00:05:24,137 --> 00:05:26,497 Speaker 1: women and kind of along the lines of what they 108 00:05:26,537 --> 00:05:28,457 Speaker 1: talk about and call her daddy. I was shocked by it. 109 00:05:28,537 --> 00:05:33,177 Speaker 1: But it's they've definitely captured the young woman vote. It's 110 00:05:33,497 --> 00:05:35,377 Speaker 1: we need to dig ourselves out of this hole. I'm 111 00:05:35,377 --> 00:05:38,537 Speaker 1: really happy with the way that the male vote is going, 112 00:05:38,577 --> 00:05:40,857 Speaker 1: which which is why I think you see like Trump 113 00:05:40,857 --> 00:05:42,817 Speaker 1: going on in Theobonne and stuff like that, and with 114 00:05:42,897 --> 00:05:43,657 Speaker 1: the milk boys. 115 00:05:44,777 --> 00:05:45,977 Speaker 3: But call her daddy. 116 00:05:46,657 --> 00:05:49,217 Speaker 1: You know, I don't know the political calculus of how 117 00:05:49,217 --> 00:05:50,657 Speaker 1: that's going to come out, because I think it'd be 118 00:05:50,697 --> 00:05:53,777 Speaker 1: really off turning to a lot of especially male independence. 119 00:05:54,257 --> 00:05:56,497 Speaker 1: And I think also in light of her Kane, Helene 120 00:05:56,657 --> 00:05:59,337 Speaker 1: just looked very tone death and the fact that she 121 00:05:59,417 --> 00:06:02,017 Speaker 1: doesn't even do any other interviews. And I listened to 122 00:06:02,057 --> 00:06:04,777 Speaker 1: her interview and it was once again another word salad 123 00:06:04,777 --> 00:06:07,337 Speaker 1: where I learned absolutely nothing about any of her policies. 124 00:06:06,937 --> 00:06:07,697 Speaker 3: Or what she plans to do. 125 00:06:08,657 --> 00:06:13,577 Speaker 2: Yes, it is the case that Kamala Harris does remind 126 00:06:13,617 --> 00:06:17,337 Speaker 2: everybody why she doesn't do interviews when she does interviews. 127 00:06:17,377 --> 00:06:20,497 Speaker 2: So we'll come back to that in one second. Jamie, 128 00:06:20,577 --> 00:06:24,137 Speaker 2: our sponsor right now is mantis X, and mantis X 129 00:06:24,377 --> 00:06:26,217 Speaker 2: makes an incredible tool. I'm a gun owner. I was 130 00:06:26,217 --> 00:06:28,977 Speaker 2: just telling Jamie before her husband likes guns. I like guns. 131 00:06:29,017 --> 00:06:31,057 Speaker 2: I had to tell my wife recently, Honey, I need 132 00:06:31,057 --> 00:06:33,137 Speaker 2: a second gun safe. So I like guns maybe a little, 133 00:06:33,177 --> 00:06:34,497 Speaker 2: you know, a little too much. I don't know. I 134 00:06:34,577 --> 00:06:36,857 Speaker 2: like guns, but I can't always get out to the range. 135 00:06:36,897 --> 00:06:38,537 Speaker 2: The range that I use here is about an hour away. 136 00:06:38,537 --> 00:06:40,057 Speaker 2: So what do I do well? If I want to 137 00:06:40,337 --> 00:06:44,017 Speaker 2: work on Really the most important part, especially with the 138 00:06:44,017 --> 00:06:48,497 Speaker 2: basics as a beginner, most important part of accurate shooting 139 00:06:48,617 --> 00:06:50,937 Speaker 2: is trigger pull. 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And all of a sudden she does a 150 00:07:23,457 --> 00:07:26,297 Speaker 2: flurry of media, She does all these interviews. What's up 151 00:07:26,297 --> 00:07:28,297 Speaker 2: with that? I thought she was avoiding the press. Is 152 00:07:28,617 --> 00:07:31,217 Speaker 2: it because she's losing? Do you think this was always 153 00:07:31,257 --> 00:07:33,017 Speaker 2: part of their plan? What's the game here? 154 00:07:34,137 --> 00:07:36,657 Speaker 1: Well, it's definitely interesting because they were hiding her for 155 00:07:36,697 --> 00:07:39,177 Speaker 1: a very long time, So to me, that signals I 156 00:07:39,257 --> 00:07:42,137 Speaker 1: think that there's some internal pulling showing that people are 157 00:07:42,217 --> 00:07:45,457 Speaker 1: uncomfortable with her. I think Democrats had a really smart 158 00:07:45,577 --> 00:07:48,217 Speaker 1: job by moving her in at the last minute, like 159 00:07:48,457 --> 00:07:50,657 Speaker 1: what was it, two and a half months before this election, 160 00:07:50,777 --> 00:07:53,577 Speaker 1: so we could purposely not learn more about her policies 161 00:07:54,017 --> 00:07:57,657 Speaker 1: and honestly, her incompetency when it comes to interviewing and 162 00:07:57,697 --> 00:08:00,777 Speaker 1: being able to explain anything. I kind of I agree 163 00:08:00,777 --> 00:08:04,177 Speaker 1: a lot with Trump. I don't think she's an incredibly 164 00:08:04,217 --> 00:08:06,937 Speaker 1: smart person, and I think she can't think on her feet. 165 00:08:06,977 --> 00:08:09,777 Speaker 1: I think she was performed actually better than I thought 166 00:08:09,857 --> 00:08:12,417 Speaker 1: she in the debate, because she is she memorizes the 167 00:08:12,417 --> 00:08:14,737 Speaker 1: lines and can get them out. But when it's off 168 00:08:14,777 --> 00:08:16,737 Speaker 1: the cuff, she's obviously not doing well. But it kind 169 00:08:16,777 --> 00:08:18,777 Speaker 1: of feels like a hail Mary here. So I think 170 00:08:19,057 --> 00:08:21,097 Speaker 1: we should feel happy that they're feeling like they have 171 00:08:21,137 --> 00:08:21,617 Speaker 1: to go here. 172 00:08:22,057 --> 00:08:26,417 Speaker 2: Did you hear in the sixty minutes interview, there's there's 173 00:08:26,457 --> 00:08:29,897 Speaker 2: a clip where she says, I have the quote because 174 00:08:29,897 --> 00:08:31,777 Speaker 2: I really want to have this is the word for 175 00:08:31,857 --> 00:08:38,577 Speaker 2: word quote. Okay, Well, the question is something about n Yahoo, right, like, basically, 176 00:08:38,577 --> 00:08:41,417 Speaker 2: do you stand with n Yahoo? Here's what she says, Well, Bill, 177 00:08:41,617 --> 00:08:44,497 Speaker 2: the work that we have done has resulted in a 178 00:08:44,617 --> 00:08:48,377 Speaker 2: number of movements in that region by Israel that were 179 00:08:48,497 --> 00:08:51,897 Speaker 2: very much prompted by or a result of many things, 180 00:08:52,337 --> 00:08:55,417 Speaker 2: including our advocacy for what needs to happen in the region. 181 00:08:56,217 --> 00:08:58,777 Speaker 2: That is a way of saying, we did some things 182 00:08:58,897 --> 00:09:02,777 Speaker 2: that made some stuff happened to some things that were 183 00:09:02,817 --> 00:09:03,617 Speaker 2: also things. 184 00:09:05,377 --> 00:09:08,977 Speaker 1: Yeah, it's I think she's also in the Democratic Party 185 00:09:09,017 --> 00:09:11,697 Speaker 1: is in a really tough place right now, honestly because 186 00:09:11,897 --> 00:09:14,657 Speaker 1: their base is just anti Trump. So they kind of 187 00:09:14,657 --> 00:09:17,657 Speaker 1: have like some of these never Trump Republicans that are 188 00:09:17,737 --> 00:09:19,737 Speaker 1: kind of probably a little bit more conservative on a 189 00:09:19,737 --> 00:09:21,977 Speaker 1: lot of policies, especially with the economy and on some 190 00:09:22,017 --> 00:09:25,897 Speaker 1: social issues. And then they have palaes signed flag wheeling, 191 00:09:25,977 --> 00:09:30,137 Speaker 1: blue haired. They the pronoun people also in their party, 192 00:09:30,297 --> 00:09:33,417 Speaker 1: so anytime they speak, they're going to cause divisions within 193 00:09:33,457 --> 00:09:36,057 Speaker 1: their party. So I do think in a way, like 194 00:09:36,297 --> 00:09:38,497 Speaker 1: once again, I do think it's also she can't explain 195 00:09:38,537 --> 00:09:40,617 Speaker 1: a lot of these policies herself because she doesn't do 196 00:09:41,297 --> 00:09:43,737 Speaker 1: the background and prep needed for it. But I also 197 00:09:43,777 --> 00:09:46,377 Speaker 1: think she's scared about like alienating people in their base 198 00:09:46,417 --> 00:09:48,497 Speaker 1: because it's a very fractured party when you actually get 199 00:09:48,497 --> 00:09:49,257 Speaker 1: down to the issues. 200 00:09:49,817 --> 00:09:51,977 Speaker 2: Yeah, and I think that you see that also with 201 00:09:52,097 --> 00:09:57,217 Speaker 2: the Israeli Palestinian issue, right, that's and which comes up 202 00:09:57,257 --> 00:10:00,577 Speaker 2: in the context of net Yahoo. She's out there trying 203 00:10:00,617 --> 00:10:03,137 Speaker 2: to tell everybody that we stand with Israel, but she 204 00:10:03,217 --> 00:10:07,457 Speaker 2: doesn't stand with net Yahoo and she's not sure about 205 00:10:07,497 --> 00:10:10,417 Speaker 2: the Israeli military response to October seventh than you and 206 00:10:10,497 --> 00:10:13,337 Speaker 2: I are sitting here talking on the anniversary of October seventh. 207 00:10:14,377 --> 00:10:16,097 Speaker 2: I don't think she can have it both ways with this. 208 00:10:16,177 --> 00:10:19,977 Speaker 2: I think Democrats are caught a little bit here with 209 00:10:20,097 --> 00:10:22,897 Speaker 2: the both sides ism of well, I stand with Hamas, 210 00:10:22,937 --> 00:10:25,217 Speaker 2: but I also stand with Israel. You can't. You can't 211 00:10:25,257 --> 00:10:25,737 Speaker 2: actually do. 212 00:10:25,737 --> 00:10:29,337 Speaker 1: That, I agree, And I've I've heard that her polling 213 00:10:29,457 --> 00:10:32,657 Speaker 1: with Arab Americans in Michigan is really bad because of 214 00:10:32,697 --> 00:10:35,617 Speaker 1: that as well. And so I think there it's you know, 215 00:10:35,657 --> 00:10:38,177 Speaker 1: it's hard for us to believe that people wouldn't stand 216 00:10:38,177 --> 00:10:41,657 Speaker 1: with Israel because we're our party is so pro Israel, 217 00:10:41,737 --> 00:10:44,457 Speaker 1: and you know, just like honoring those lives that were 218 00:10:44,497 --> 00:10:46,817 Speaker 1: lost and the hostage is still in there because of 219 00:10:46,857 --> 00:10:50,857 Speaker 1: the Biden administrations and competence and so. I but I 220 00:10:50,937 --> 00:10:52,897 Speaker 1: think she's in a tough place because I do think 221 00:10:52,897 --> 00:10:54,857 Speaker 1: probably it breaks down maybe if I had to guest 222 00:10:54,897 --> 00:10:57,977 Speaker 1: like seventy thirty within her party and so, and that's 223 00:10:58,017 --> 00:11:00,937 Speaker 1: a big issue for the people who are pro Palestine. 224 00:11:01,257 --> 00:11:02,097 Speaker 3: A lot of them may. 225 00:11:01,937 --> 00:11:04,257 Speaker 1: Hold out votes for her because they feel so passionately 226 00:11:04,297 --> 00:11:04,737 Speaker 1: about that. 227 00:11:05,217 --> 00:11:07,377 Speaker 2: We'll come back into the campus protests. Have you seen, 228 00:11:07,417 --> 00:11:09,097 Speaker 2: by the way, I have friends in New York City 229 00:11:09,137 --> 00:11:13,897 Speaker 2: sending me video from today of some of these protests 230 00:11:13,897 --> 00:11:17,017 Speaker 2: that are happening out on the streets in solidarity with 231 00:11:17,537 --> 00:11:20,937 Speaker 2: Palestine and Hamas, or the Palestinians rather in Hamas. So 232 00:11:21,377 --> 00:11:23,657 Speaker 2: we'll get into it. We'll get into this kind of 233 00:11:23,817 --> 00:11:26,297 Speaker 2: madness on campus in just a second. Tunnel the Tower 234 00:11:26,377 --> 00:11:29,177 Speaker 2: is our sponsor here. Jerry Pagett enlisted in the US 235 00:11:29,257 --> 00:11:31,897 Speaker 2: Navy and deployed multiple times to a rock in Afghanistan. 236 00:11:32,177 --> 00:11:33,937 Speaker 2: He's one of the heroes remembered by the Tunnel the 237 00:11:33,937 --> 00:11:37,177 Speaker 2: Towers Foundation, and for good reason. 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Nothing can repay the price of freedom, but 247 00:12:03,897 --> 00:12:06,337 Speaker 2: your donation now can change the lives of those who 248 00:12:06,417 --> 00:12:09,817 Speaker 2: selflessly sacrifice for our communities and our country. Donate eleven 249 00:12:09,857 --> 00:12:11,657 Speaker 2: dollar was a month the tunnel the Towers at T 250 00:12:11,657 --> 00:12:14,537 Speaker 2: two T dot org. That's t the number two T 251 00:12:14,977 --> 00:12:19,977 Speaker 2: dot org. Uh. You know I graduated twenty years ago. 252 00:12:20,177 --> 00:12:22,457 Speaker 2: You graduated with like five years ago or something, right, 253 00:12:22,497 --> 00:12:28,297 Speaker 2: so you have more of a three years ago to 254 00:12:28,497 --> 00:12:32,617 Speaker 2: how far or okay, all right, I was, I was 255 00:12:32,657 --> 00:12:35,497 Speaker 2: like right in this in the zone four years ago. 256 00:12:35,577 --> 00:12:39,057 Speaker 2: So you were on campus recently, you know, it's like, honestly, 257 00:12:39,297 --> 00:12:42,017 Speaker 2: like I there there were a lot of uh, you know, 258 00:12:42,057 --> 00:12:44,737 Speaker 2: there's a lot of pro Palestine sentiment and stuff. I 259 00:12:44,777 --> 00:12:47,377 Speaker 2: went to Amherst. A lot of that there twenty years ago, 260 00:12:47,497 --> 00:12:49,417 Speaker 2: a long time ago. You were like, you know, riding 261 00:12:49,497 --> 00:12:54,617 Speaker 2: chariots to our classes and everything. But were you surprised 262 00:12:54,617 --> 00:12:57,297 Speaker 2: by the crazy stuff going on after October seventh on 263 00:12:57,417 --> 00:13:00,617 Speaker 2: campus or are you like, no, that's just how it is. 264 00:13:00,697 --> 00:13:02,217 Speaker 2: Do you know what I'm saying? Like, what was this 265 00:13:02,457 --> 00:13:06,377 Speaker 2: just the the breakthrough of the reality that there's this 266 00:13:06,817 --> 00:13:11,857 Speaker 2: pro terrorist, anti semitism lunacy across elite schools. By the way, 267 00:13:11,857 --> 00:13:14,137 Speaker 2: I mean you went to Berkeley. 268 00:13:14,217 --> 00:13:17,497 Speaker 1: I was not shocked at all going to Berkeley. I 269 00:13:17,537 --> 00:13:19,537 Speaker 1: it wasn't as big actually when I was at cal So. 270 00:13:19,577 --> 00:13:21,497 Speaker 1: I was at col between twenty sixteen to twenty twenty. 271 00:13:21,537 --> 00:13:23,777 Speaker 1: So the big issue when I was there was remember 272 00:13:23,817 --> 00:13:27,257 Speaker 1: the fake, whipped up story about the border camps and everything. 273 00:13:27,257 --> 00:13:29,497 Speaker 1: They were saying that we were putting concentration camps on 274 00:13:29,537 --> 00:13:33,417 Speaker 1: the border because of Trump's policies down there, which was 275 00:13:33,417 --> 00:13:36,417 Speaker 1: actually Obama implemented that and Trump overturned it. But anyway, 276 00:13:36,857 --> 00:13:38,737 Speaker 1: so I was in too shocked because I did see 277 00:13:38,737 --> 00:13:40,217 Speaker 1: a little bit of that when I was at Cow. 278 00:13:40,377 --> 00:13:42,897 Speaker 1: But I will say when I was at Berkeley, I 279 00:13:42,937 --> 00:13:45,617 Speaker 1: don't think you know, there is segments of the pro 280 00:13:45,777 --> 00:13:50,577 Speaker 1: Palestine faction that are extremely pro Palestine, but there are 281 00:13:50,577 --> 00:13:54,297 Speaker 1: also a lot of especially the American students, it's more 282 00:13:54,337 --> 00:13:57,857 Speaker 1: this anti Western culture and for them, Israel and America 283 00:13:57,937 --> 00:14:02,657 Speaker 1: both represent Western culture, colonialism and everything, so it more 284 00:14:02,657 --> 00:14:04,497 Speaker 1: has to do with that. So I was in no 285 00:14:04,577 --> 00:14:07,977 Speaker 1: way shocked. I was disgusted still, but like I said, 286 00:14:08,057 --> 00:14:10,377 Speaker 1: I was at cal all those years, and I think 287 00:14:10,577 --> 00:14:14,017 Speaker 1: people are just they'll go along with every movement in 288 00:14:14,097 --> 00:14:16,297 Speaker 1: order to get out there with their signs and feel 289 00:14:16,297 --> 00:14:17,217 Speaker 1: like they're doing something. 290 00:14:17,257 --> 00:14:19,857 Speaker 3: It's it's their religion. On the left, and. 291 00:14:20,297 --> 00:14:24,577 Speaker 2: You know when you see the the kinds of slogans 292 00:14:24,577 --> 00:14:28,617 Speaker 2: and everything that came out after the October seventh attack, 293 00:14:28,617 --> 00:14:30,137 Speaker 2: I mean, you know they were projecting. I think it 294 00:14:30,177 --> 00:14:33,017 Speaker 2: was a GW from the river to the sea on 295 00:14:33,537 --> 00:14:37,177 Speaker 2: a building at GW, which is which is a a 296 00:14:37,177 --> 00:14:40,577 Speaker 2: a rallying cry of Hamas and other terrorist groups in 297 00:14:40,577 --> 00:14:44,617 Speaker 2: the region to eliminate the entirety of the Jewish state. Harvard, 298 00:14:44,977 --> 00:14:46,857 Speaker 2: which I know is supposed to be so fancy, right, 299 00:14:47,257 --> 00:14:51,257 Speaker 2: Harvard had thirty student groups a year ago, almost of 300 00:14:51,297 --> 00:14:52,977 Speaker 2: the day, because I think they came out within a 301 00:14:53,017 --> 00:14:56,137 Speaker 2: couple of days of the attack. Thirty different student groups 302 00:14:56,177 --> 00:15:00,097 Speaker 2: came out and said that it was Israel's fault what 303 00:15:00,217 --> 00:15:02,697 Speaker 2: happened on October seventh. I mean even for me, you know, 304 00:15:02,777 --> 00:15:07,297 Speaker 2: I started and I worked for US Ambassador Dennis Ross, 305 00:15:07,297 --> 00:15:10,377 Speaker 2: who was Clinton's negotiator for the Camp David Accords. I 306 00:15:10,417 --> 00:15:13,377 Speaker 2: worked the Washington Stuphreneur's policy I was on the CICIA 307 00:15:13,457 --> 00:15:17,297 Speaker 2: CTC desk some of that stuff. When they came out 308 00:15:17,297 --> 00:15:19,177 Speaker 2: and I saw that at Harvard, I was like, this 309 00:15:19,257 --> 00:15:22,297 Speaker 2: is insane, Like these people they're blaming Israel for an 310 00:15:22,297 --> 00:15:23,537 Speaker 2: attack that just happened. 311 00:15:25,257 --> 00:15:29,257 Speaker 1: I remember I commented and posted Bears for Palestine, which 312 00:15:29,297 --> 00:15:33,977 Speaker 1: is Cal's Palestine group, and they were celebrating the people 313 00:15:34,057 --> 00:15:39,177 Speaker 1: who went in and put babies in ovens and slaughtered families. 314 00:15:39,297 --> 00:15:41,457 Speaker 1: To the point when I was like seeing these images 315 00:15:41,497 --> 00:15:43,937 Speaker 1: on Twitter, I actually brought tears to my like I 316 00:15:43,937 --> 00:15:46,977 Speaker 1: couldn't even like it just was so horrific, Like I 317 00:15:46,977 --> 00:15:49,297 Speaker 1: thought nine to eleven was the most horrific thing that 318 00:15:49,337 --> 00:15:51,817 Speaker 1: could ever happen, and I do think this in some 319 00:15:51,857 --> 00:15:54,537 Speaker 1: way was like more barbaric and like the way that 320 00:15:54,697 --> 00:15:58,537 Speaker 1: this attack was done, and so it just I when 321 00:15:58,577 --> 00:16:01,257 Speaker 1: I read that that they were celebrating these people as martyrs. 322 00:16:01,297 --> 00:16:05,817 Speaker 1: It was just it's almost you have to almost think, 323 00:16:05,897 --> 00:16:09,017 Speaker 1: is this ignorance, like they don't understand what they're supporting, 324 00:16:09,097 --> 00:16:12,657 Speaker 1: And just the anti Americanism throughout all of these college 325 00:16:13,417 --> 00:16:15,817 Speaker 1: through all of our colleges and through our education system 326 00:16:15,817 --> 00:16:20,057 Speaker 1: has just brainwashed people or these people truly like supporting evil. 327 00:16:20,617 --> 00:16:22,977 Speaker 1: And I think that there's a lot of divisions in 328 00:16:23,017 --> 00:16:26,617 Speaker 1: this country, with especially young people, where people have a 329 00:16:26,617 --> 00:16:27,977 Speaker 1: lot of malice for one another. 330 00:16:28,897 --> 00:16:31,897 Speaker 2: This week is the one year anniversary of the worst 331 00:16:31,897 --> 00:16:34,737 Speaker 2: massacre of the Jewish people since the Holocaust. One year 332 00:16:34,777 --> 00:16:37,417 Speaker 2: ago this week, Hamas terrorist killed twelve hundred Israelis and 333 00:16:37,417 --> 00:16:40,417 Speaker 2: took more than two hundred and fifty hostages. A year later, 334 00:16:40,457 --> 00:16:42,577 Speaker 2: you and I are both witnessing Israel in conflict with 335 00:16:42,577 --> 00:16:45,377 Speaker 2: Hamas in an attempt to free the remaining hostages, as 336 00:16:45,377 --> 00:16:48,857 Speaker 2: well as fighting back against Heslo's near constant missile barrages 337 00:16:48,977 --> 00:16:51,697 Speaker 2: and Iran's own massive barrage and nearly two hundred ballistic 338 00:16:51,697 --> 00:16:54,737 Speaker 2: missiles a week ago. Israel and her people are facing 339 00:16:54,737 --> 00:16:57,857 Speaker 2: attacks from enemies on all sides. The International Fellowship of 340 00:16:57,937 --> 00:17:00,737 Speaker 2: Christians and Jews is on the ground providing food, shelter, 341 00:17:00,857 --> 00:17:03,737 Speaker 2: and safety to those in need during this crisis. Since 342 00:17:03,737 --> 00:17:07,377 Speaker 2: the war started, thousands of reservists have left their families 343 00:17:07,377 --> 00:17:10,457 Speaker 2: to serve their country. Soldiers have been injured, and their 344 00:17:10,497 --> 00:17:13,297 Speaker 2: families need your support. Your gift of one hundred and 345 00:17:13,337 --> 00:17:16,377 Speaker 2: fifty dollars helps the Fellowship provide food and other necessities 346 00:17:16,417 --> 00:17:19,097 Speaker 2: to these families to help them survive. Thanks to a 347 00:17:19,177 --> 00:17:23,377 Speaker 2: generous Fellowship supporter, your gift will be matched, doubling an impact. 348 00:17:24,177 --> 00:17:25,697 Speaker 2: Can you call today to make your one hundred and 349 00:17:25,737 --> 00:17:28,057 Speaker 2: fifty dollars gift right now eight at eight four eight 350 00:17:28,057 --> 00:17:31,137 Speaker 2: eight IFCJ. That's eight at eight four eight eight I 351 00:17:31,537 --> 00:17:35,137 Speaker 2: f CJ. Or on the go online to support IFCJ 352 00:17:35,297 --> 00:17:40,337 Speaker 2: dot org. That's SUPPORTIFCJ dot org. All right, thanks for 353 00:17:40,337 --> 00:17:42,217 Speaker 2: being here on the buck brief, Jamie, appreciate it. 354 00:17:43,457 --> 00:17:45,337 Speaker 3: Thank you so much for having me on back. Have 355 00:17:45,377 --> 00:17:45,897 Speaker 3: a great day.