1 00:00:08,240 --> 00:00:13,319 Speaker 1: The LAPD apparently doesn't deal with shoplifting, even if there's 2 00:00:13,360 --> 00:00:17,600 Speaker 1: twenty five people there in an organized effort to shoplift. Also, 3 00:00:18,000 --> 00:00:21,920 Speaker 1: Texas Lives Run for the Hills, and yet another show 4 00:00:22,079 --> 00:00:25,880 Speaker 1: of some sort of political stunt and speaking of Illinois, 5 00:00:25,880 --> 00:00:29,360 Speaker 1: which is where they went lives in Illinois or issuing 6 00:00:29,520 --> 00:00:33,000 Speaker 1: harsh warnings against what's going on in New York, saying, hey, 7 00:00:33,240 --> 00:00:35,560 Speaker 1: the guy in Chicago, we're not a big fan of him, 8 00:00:35,680 --> 00:00:37,600 Speaker 1: and maybe you should watch out. All that more coming 9 00:00:37,640 --> 00:00:39,320 Speaker 1: up on this episode of Turning Point Tonight. My name 10 00:00:39,360 --> 00:00:41,159 Speaker 1: is Joe Bob. Thanks so much for tuning in. Together, 11 00:00:41,360 --> 00:00:44,159 Speaker 1: we are charting the course of America's cultural comeback. This 12 00:00:44,400 --> 00:00:46,599 Speaker 1: is Turning Point Tonight. Now, before we get to any 13 00:00:46,640 --> 00:00:50,360 Speaker 1: of those stories and our fantastic panel, believe it or not, 14 00:00:50,600 --> 00:00:53,240 Speaker 1: Sydney Sweetie is still in the news. 15 00:00:53,280 --> 00:00:53,400 Speaker 2: Now. 16 00:00:53,400 --> 00:00:56,440 Speaker 1: I'm sure you've heard about this already, but we're gonna 17 00:00:56,440 --> 00:00:59,560 Speaker 1: reiterate it here because it's just too funny. Over the 18 00:00:59,600 --> 00:01:04,000 Speaker 1: week end, some Internet sleuths did some research and found 19 00:01:04,000 --> 00:01:07,600 Speaker 1: out that Sidney Sweeney is actually a registered Republican. And 20 00:01:07,680 --> 00:01:09,920 Speaker 1: not only that, because the last time we talked about 21 00:01:09,920 --> 00:01:13,880 Speaker 1: Sidney Sweeney and the American Eagle Jeans commercial. We talked 22 00:01:13,920 --> 00:01:16,600 Speaker 1: about the fact that Sidney Sweeney probably has conservative parents. 23 00:01:16,640 --> 00:01:19,720 Speaker 1: She was pictured at her mom's sixtieth birthday with a 24 00:01:19,720 --> 00:01:21,680 Speaker 1: bunch of people in maga hats and her dad was 25 00:01:21,720 --> 00:01:25,320 Speaker 1: wearing a thin blue stripe. Wasn't really that into the 26 00:01:25,400 --> 00:01:29,200 Speaker 1: question there? Is pretty obvious, But at this point she 27 00:01:29,319 --> 00:01:34,000 Speaker 1: has firmed up her conservative bona fides as a registered Republican. 28 00:01:34,200 --> 00:01:36,679 Speaker 1: And not only that, not only like, okay, well, you know, 29 00:01:36,760 --> 00:01:39,319 Speaker 1: in the past, maybe her parents registered to vote no. 30 00:01:39,720 --> 00:01:44,039 Speaker 1: In the thick of last year's presidential election. In June, 31 00:01:44,520 --> 00:01:48,840 Speaker 1: Sidney Sweety registered as a Republican, again, sharing up her 32 00:01:48,880 --> 00:01:51,520 Speaker 1: bona fides as a conservative. Now, we've got a bunch 33 00:01:51,520 --> 00:01:54,320 Speaker 1: of fun clips to play here, but let's welcome in 34 00:01:54,320 --> 00:01:56,800 Speaker 1: our panel. Ari Hoffman is the host of The Ari 35 00:01:56,920 --> 00:02:02,200 Speaker 1: Hoffman Show and sorry bes you million as a conservative commentator. Guys, 36 00:02:02,200 --> 00:02:03,920 Speaker 1: thanks so much for joining us. Really appreciate you taking 37 00:02:03,960 --> 00:02:05,480 Speaker 1: the time, great to be here. 38 00:02:06,160 --> 00:02:07,400 Speaker 3: Thank you so much. I'm excited. 39 00:02:07,680 --> 00:02:10,520 Speaker 1: So this should come as a shock to no one 40 00:02:10,560 --> 00:02:15,640 Speaker 1: Sidney Sweeney being a conservative by any stretch of the imagination. 41 00:02:16,360 --> 00:02:19,320 Speaker 1: The reason why it's not shocking is because of this video. 42 00:02:19,320 --> 00:02:21,440 Speaker 1: Go ahead and play cut two. This has been floating 43 00:02:21,440 --> 00:02:23,320 Speaker 1: around the Internet for a while, and I've been wondering 44 00:02:23,360 --> 00:02:25,520 Speaker 1: why has nobody picked up on this soon or check 45 00:02:25,560 --> 00:02:26,120 Speaker 1: this out. 46 00:02:38,880 --> 00:02:42,720 Speaker 4: By Oh my god, girl. 47 00:02:44,000 --> 00:02:57,080 Speaker 1: That was really good dog nahrudding girl. Yes, find me 48 00:02:57,240 --> 00:02:59,560 Speaker 1: the gender studies major that can do that. And I 49 00:03:00,080 --> 00:03:02,160 Speaker 1: left that video a little bit long because the this 50 00:03:02,200 --> 00:03:04,960 Speaker 1: is your first time. No, she may have told them 51 00:03:05,000 --> 00:03:07,440 Speaker 1: that was her first time, but did you see that reload? 52 00:03:07,840 --> 00:03:08,080 Speaker 4: Ari? 53 00:03:08,240 --> 00:03:11,639 Speaker 1: That is not a first time gun user if I've 54 00:03:11,680 --> 00:03:14,640 Speaker 1: ever seen one, Ari, What does this mean? Do we 55 00:03:14,720 --> 00:03:17,200 Speaker 1: want to e Well a lot of questions here. Do 56 00:03:17,280 --> 00:03:19,920 Speaker 1: we want to drag one of the biggest superstars on 57 00:03:19,960 --> 00:03:23,000 Speaker 1: the planet into the political realm? And if we do, 58 00:03:22,840 --> 00:03:25,600 Speaker 1: what does it mean that you know she probably leans 59 00:03:25,880 --> 00:03:29,160 Speaker 1: pretty conservatively, especially against her Hollywood friends. 60 00:03:29,919 --> 00:03:34,000 Speaker 5: Well, first thing to notice is that she's from Spokane, Washington. Spokane, Washington, 61 00:03:36,120 --> 00:03:38,920 Speaker 5: so my neck of the woods is usually very deep blue, 62 00:03:39,240 --> 00:03:41,880 Speaker 5: but not eastern Washington, which is like most states which 63 00:03:41,920 --> 00:03:44,400 Speaker 5: have cities like Seattle or Los Angeles or New York 64 00:03:44,720 --> 00:03:47,320 Speaker 5: where the rest of the state is all deep red. 65 00:03:47,440 --> 00:03:49,560 Speaker 5: It's just those cities that are dragging it over to 66 00:03:49,600 --> 00:03:52,640 Speaker 5: the left, so that girl can clearly shoot, which means she's. 67 00:03:52,520 --> 00:03:53,720 Speaker 6: From eastern Washington. 68 00:03:56,320 --> 00:03:58,680 Speaker 5: The left is going nuts about her because she's the 69 00:03:58,720 --> 00:04:02,160 Speaker 5: direct opposite of all the appdvertising campaigns they just had Jaguars. 70 00:04:02,360 --> 00:04:04,120 Speaker 4: Is that weird? Whatever the hell. 71 00:04:03,920 --> 00:04:06,960 Speaker 5: They were trying to advertise, It wasn't cars. Ninety seven 72 00:04:07,040 --> 00:04:10,680 Speaker 5: percent of their sales. They dropped ninety seven percent in Europe. 73 00:04:10,800 --> 00:04:13,760 Speaker 5: You have bud Light lost one point four billion dollars 74 00:04:13,800 --> 00:04:17,000 Speaker 5: on Dylan mulvaney. So the left is losing their minds. 75 00:04:17,040 --> 00:04:19,760 Speaker 5: The Babylon Bee actually put it best. They said, the 76 00:04:19,800 --> 00:04:23,479 Speaker 5: democrats new mantra is we hate America, we hate capitalism, 77 00:04:23,680 --> 00:04:26,320 Speaker 5: we hate hot chicks, and we hate the Jews. That 78 00:04:26,440 --> 00:04:29,800 Speaker 5: seems to be the democrats new mantra going forward, and 79 00:04:29,880 --> 00:04:33,120 Speaker 5: she is the exact epitome of everything they hate and 80 00:04:33,160 --> 00:04:35,159 Speaker 5: everything that has been a failure in the marketing and 81 00:04:35,240 --> 00:04:36,559 Speaker 5: celebrity world for so long. 82 00:04:36,920 --> 00:04:40,279 Speaker 1: We hate everyone, including you. Please vote for us, Bije. 83 00:04:40,360 --> 00:04:42,080 Speaker 1: I want to play this clip from President Trump and 84 00:04:42,160 --> 00:04:44,960 Speaker 1: get your reaction. He found out over the weekend as well. 85 00:04:45,480 --> 00:04:49,080 Speaker 1: Watch this and we'll hear your thoughts. 86 00:04:47,640 --> 00:04:51,120 Speaker 7: After Sidey Sedia he's not speaking that sect Americans from 87 00:04:51,240 --> 00:04:55,400 Speaker 7: Republican and any co cot that who was She's very 88 00:04:55,400 --> 00:04:56,039 Speaker 7: hot at. 89 00:04:56,279 --> 00:04:57,800 Speaker 1: She's a registered Republican. 90 00:04:58,480 --> 00:05:01,280 Speaker 4: Oh now, I love her? Is that right? 91 00:05:01,320 --> 00:05:02,240 Speaker 1: Is Sidney Sweeney? 92 00:05:03,400 --> 00:05:06,080 Speaker 8: You'd be surprised at how many people are Republicans. 93 00:05:07,360 --> 00:05:07,839 Speaker 6: That's what I. 94 00:05:07,800 --> 00:05:08,560 Speaker 9: Wouldn't have known. 95 00:05:08,640 --> 00:05:10,480 Speaker 4: But I'm glad you told me that. 96 00:05:11,400 --> 00:05:14,560 Speaker 9: If Sydney Sweeney is a registered Republican. 97 00:05:15,040 --> 00:05:21,839 Speaker 4: I think her ad is fantastic. Okay, thank you very much, everybody. 98 00:05:21,000 --> 00:05:23,520 Speaker 1: All right, beat you your thoughts. 99 00:05:24,200 --> 00:05:25,960 Speaker 3: Oh my gosh, no, that is hilarious. 100 00:05:26,000 --> 00:05:28,880 Speaker 2: I love that he has like he's just like putting 101 00:05:28,920 --> 00:05:32,839 Speaker 2: it straight out there and immediately immediately he's just saying, hey, guys, 102 00:05:33,080 --> 00:05:35,560 Speaker 2: you know what, she's an actress. She's allowed to have 103 00:05:35,600 --> 00:05:38,920 Speaker 2: an opinion and guess what, she is allowed to go 104 00:05:39,000 --> 00:05:40,919 Speaker 2: and shoot that gun. Oh my gosh, I would love 105 00:05:40,960 --> 00:05:44,640 Speaker 2: to go shooting with her. That would be absolutely top 106 00:05:44,760 --> 00:05:46,040 Speaker 2: notch experience right there. 107 00:05:46,160 --> 00:05:51,120 Speaker 1: That'd be Yeah. Again, Lib's crying themselves a whole new 108 00:05:51,200 --> 00:05:54,640 Speaker 1: river there, you know, speaking of libbs ari, this I 109 00:05:54,640 --> 00:05:59,560 Speaker 1: thought was fascinating. Texas Libs. In response to Greg Abbott 110 00:06:00,040 --> 00:06:04,080 Speaker 1: shooing some potential redistricting in Texas, there are heading for 111 00:06:04,120 --> 00:06:06,560 Speaker 1: the Hills. They're pulling a political stunt saying, hey, well, 112 00:06:06,600 --> 00:06:09,360 Speaker 1: if we leave the state, you don't have a quorum, 113 00:06:09,440 --> 00:06:12,360 Speaker 1: you can't make us come back. They've fled to Illinois 114 00:06:12,920 --> 00:06:16,200 Speaker 1: because of the redistricting. Now, Ari, I know you're in 115 00:06:16,240 --> 00:06:18,719 Speaker 1: the state of Washington, and of course the lives up 116 00:06:18,720 --> 00:06:21,880 Speaker 1: there are very very fair with how they redistrict. They 117 00:06:21,880 --> 00:06:24,560 Speaker 1: don't at all cater to lib districts. They don't at 118 00:06:24,560 --> 00:06:27,160 Speaker 1: all try and squeeze conservatives out by any stretch of 119 00:06:27,160 --> 00:06:30,360 Speaker 1: the imagination. Why is Texas Governor Greg Abbott doing such 120 00:06:30,400 --> 00:06:31,680 Speaker 1: an evil and wrong thing. 121 00:06:32,440 --> 00:06:35,320 Speaker 5: Well, he's just balancing the scales. Look, jerry mandering has 122 00:06:35,320 --> 00:06:38,120 Speaker 5: been around since the eighteen hundreds. This is nothing new 123 00:06:38,200 --> 00:06:41,840 Speaker 5: for anybody. But the fact that the Democrats fled to Illinois, 124 00:06:41,839 --> 00:06:44,680 Speaker 5: which is one of the most jerrymandered states in the 125 00:06:44,800 --> 00:06:47,479 Speaker 5: entire Union. If you look at the map, it looks 126 00:06:47,480 --> 00:06:49,920 Speaker 5: like there's a snake going up the middle of it 127 00:06:50,000 --> 00:06:52,440 Speaker 5: in one of these districts. It's so out of control 128 00:06:52,680 --> 00:06:56,280 Speaker 5: here in Washington. They were doing this the last election season. 129 00:06:56,000 --> 00:06:59,800 Speaker 6: And the one before and the one before that. California. 130 00:07:00,040 --> 00:07:02,760 Speaker 5: Love how they're threatening to now they're gonna redistrict. You 131 00:07:02,800 --> 00:07:06,479 Speaker 5: can't redistrict that place anymore. They've already carved up Orange 132 00:07:06,520 --> 00:07:09,600 Speaker 5: County so badly so that no Republican can ever win 133 00:07:09,760 --> 00:07:13,080 Speaker 5: ever again. Okay, guys, so what you're mad about is 134 00:07:13,120 --> 00:07:15,720 Speaker 5: that Republicans are doing the same thing you've been doing 135 00:07:15,880 --> 00:07:17,240 Speaker 5: literally four decades. 136 00:07:17,520 --> 00:07:19,400 Speaker 1: Hold on, what you What you're saying is that lives 137 00:07:19,400 --> 00:07:22,680 Speaker 1: across the country aren't super fair and generous to the 138 00:07:22,680 --> 00:07:25,640 Speaker 1: conservative that I don't know about that. That that feels 139 00:07:25,720 --> 00:07:29,160 Speaker 1: like it shocks me. Vis you. Kathy Hokeel out of 140 00:07:29,200 --> 00:07:31,920 Speaker 1: New York, the governor there, said she is going to retaliate, 141 00:07:32,120 --> 00:07:34,240 Speaker 1: which a bunch of the Internet people said, Okay, well 142 00:07:34,280 --> 00:07:37,720 Speaker 1: you you already did the exact same thing, not even 143 00:07:37,720 --> 00:07:40,520 Speaker 1: that long ago, just last election cycle. What is what's 144 00:07:40,560 --> 00:07:44,600 Speaker 1: going on with the irony there? The shoe on the 145 00:07:44,640 --> 00:07:48,040 Speaker 1: other foot circumstances that Libs have with this whole redistricting thing. 146 00:07:49,120 --> 00:07:49,640 Speaker 3: Oh my gosh. 147 00:07:49,720 --> 00:07:51,680 Speaker 2: You know, they're just saying, we don't like how democracy 148 00:07:51,800 --> 00:07:54,000 Speaker 2: is working, so we're just gonna go you know, we're 149 00:07:54,000 --> 00:07:54,960 Speaker 2: gonna do our own thing. 150 00:07:55,080 --> 00:07:56,120 Speaker 3: We're gonna go on vacation. 151 00:07:56,560 --> 00:08:01,320 Speaker 2: I mean, it's all just cowardly as childish it's and 152 00:08:01,360 --> 00:08:03,480 Speaker 2: then you know when they're leaving right now and they're 153 00:08:03,520 --> 00:08:06,200 Speaker 2: asking like, oh, yeah, we're just gonna go to Illinois. 154 00:08:06,200 --> 00:08:08,200 Speaker 3: We're gonna go to all these different spots. 155 00:08:08,200 --> 00:08:12,160 Speaker 2: Like you know, you can't legislate from a lacuinta inside 156 00:08:12,160 --> 00:08:14,760 Speaker 2: of Illinois. It's just not gonna happen. I'm sorry, it's 157 00:08:14,880 --> 00:08:17,040 Speaker 2: just not gonna happen. So, yeah, you know, you're not 158 00:08:17,040 --> 00:08:19,679 Speaker 2: gonna get to go on vacation. Like if I left 159 00:08:19,680 --> 00:08:23,480 Speaker 2: my job. You know, thankfully I work for my own 160 00:08:23,480 --> 00:08:25,960 Speaker 2: company now, but if I was working at a job 161 00:08:26,040 --> 00:08:28,400 Speaker 2: and then I just abdicated for a minute there, that 162 00:08:28,440 --> 00:08:29,440 Speaker 2: wouldn't really work out. 163 00:08:29,560 --> 00:08:31,720 Speaker 3: So you know, might need to put a little note 164 00:08:31,760 --> 00:08:32,120 Speaker 3: in there. 165 00:08:32,480 --> 00:08:34,720 Speaker 1: That's shocking. You mean, your clients wouldn't be jumping at 166 00:08:34,760 --> 00:08:36,840 Speaker 1: the bit to go, hey, do more stuff for us. Yeah, 167 00:08:36,840 --> 00:08:40,679 Speaker 1: that's Unfortunately the voters in Texas have to deal with 168 00:08:40,840 --> 00:08:44,560 Speaker 1: the part of their legislative branch being I don't know, 169 00:08:44,600 --> 00:08:49,160 Speaker 1: absolutely ridiculous, but going to a place that exemplifies ridiculousness 170 00:08:49,240 --> 00:08:54,400 Speaker 1: is Illinois. Ari some Illinois libs are actually starting to 171 00:08:54,920 --> 00:08:57,640 Speaker 1: sound the alarm for what's going on in New York. 172 00:08:58,160 --> 00:09:02,360 Speaker 1: Brandon Johnson, the mayor of Chicago who replaced Lori Lightfoot, who, 173 00:09:02,480 --> 00:09:04,960 Speaker 1: by the way, Lori Lightfoot is awful, but this guy 174 00:09:05,080 --> 00:09:08,080 Speaker 1: happened to be even worse. Some lips. People on his 175 00:09:08,240 --> 00:09:11,600 Speaker 1: own side are saying, hey, this was not a good idea. 176 00:09:11,720 --> 00:09:13,960 Speaker 1: You better watch out for man Danny, because this is 177 00:09:14,000 --> 00:09:18,559 Speaker 1: gonna be your City's going to turn into Chicago, the corrupt, awful, 178 00:09:19,160 --> 00:09:22,240 Speaker 1: deadly place that is Chicago. What are your thoughts there? 179 00:09:22,960 --> 00:09:25,640 Speaker 6: So the problem with mom Donnie is that he's being. 180 00:09:25,440 --> 00:09:28,840 Speaker 5: Successful and he's offering a Democrat Party an idea of 181 00:09:28,960 --> 00:09:30,560 Speaker 5: here's something you can run on. 182 00:09:31,160 --> 00:09:31,559 Speaker 10: I like that. 183 00:09:31,679 --> 00:09:35,280 Speaker 5: John Fetterman was very optimistic for our side and saying, hey, 184 00:09:35,320 --> 00:09:37,760 Speaker 5: this guy's going to destroy the Democrat Party. No, no, no, 185 00:09:37,840 --> 00:09:40,880 Speaker 5: quite the opposite, because what's going to happen. Every single 186 00:09:40,960 --> 00:09:43,520 Speaker 5: Democrat who's running for office is going to follow mom 187 00:09:43,600 --> 00:09:46,080 Speaker 5: Donnie's lead, and of course they're going to say free 188 00:09:46,080 --> 00:09:47,960 Speaker 5: stuff for you and free stuff for you, and the 189 00:09:47,960 --> 00:09:50,880 Speaker 5: college kids and the young millennials and everybody else is 190 00:09:50,920 --> 00:09:53,440 Speaker 5: going to say that sounds great. And he's the only 191 00:09:53,480 --> 00:09:56,680 Speaker 5: one not offering dooman gloom and anti Trump this and 192 00:09:56,720 --> 00:09:59,079 Speaker 5: anti Trump that. So it's a message for them to 193 00:09:59,160 --> 00:10:03,640 Speaker 5: grab onto and unfortunately, every single Democrat is embracing this guy, 194 00:10:03,800 --> 00:10:07,240 Speaker 5: which means they're all going to follow his model, whether 195 00:10:07,240 --> 00:10:09,520 Speaker 5: it's successful, whether it's not. It looks like it's being 196 00:10:09,520 --> 00:10:11,720 Speaker 5: successful in New York according to the polling. What you 197 00:10:11,760 --> 00:10:13,720 Speaker 5: have to worry about is the entire Democrat Party, and 198 00:10:13,760 --> 00:10:16,280 Speaker 5: some people may say it's there already. You have to 199 00:10:16,280 --> 00:10:19,880 Speaker 5: worry about the entire Democrat Party going right into socialism, 200 00:10:20,000 --> 00:10:24,000 Speaker 5: right into Marxism, right into communism. That's exactly what they're 201 00:10:24,040 --> 00:10:26,040 Speaker 5: going to do, because it's the only thing that's worked 202 00:10:26,040 --> 00:10:26,679 Speaker 5: for them so far. 203 00:10:26,920 --> 00:10:30,199 Speaker 1: I would hope if that's the track the Democrats choose 204 00:10:30,240 --> 00:10:32,880 Speaker 1: to take, that means it's easier for us to win elections. 205 00:10:32,880 --> 00:10:34,920 Speaker 1: But I also hope to I wish my parents were 206 00:10:35,000 --> 00:10:37,160 Speaker 1: rich enough for me to be a socialist growing up, 207 00:10:37,200 --> 00:10:39,520 Speaker 1: because that seems to be the common factor between all 208 00:10:39,559 --> 00:10:43,040 Speaker 1: of them. Biju Johnson, this is interesting to just an 209 00:10:43,120 --> 00:10:45,840 Speaker 1: interesting little tidbit here. We're talking about his own people 210 00:10:46,440 --> 00:10:48,800 Speaker 1: rallying against him. One of the things that he did 211 00:10:48,960 --> 00:10:52,480 Speaker 1: was he broke a campaign promise and tried to institute 212 00:10:52,480 --> 00:10:56,080 Speaker 1: a three hundred million dollar property tax increase on the 213 00:10:56,160 --> 00:10:59,800 Speaker 1: citizens of Chicago, in which he was denied fifty to 214 00:11:00,240 --> 00:11:04,040 Speaker 1: zero by his own city council. Do you think that 215 00:11:04,160 --> 00:11:07,960 Speaker 1: the sane Libs speaking up against the crazies is going 216 00:11:08,000 --> 00:11:10,760 Speaker 1: to be kind of more routine as we get crazy 217 00:11:10,880 --> 00:11:13,760 Speaker 1: or further down into Crazyville. 218 00:11:14,000 --> 00:11:16,520 Speaker 3: I mean, I hope so it would be amazing. I mean, 219 00:11:16,559 --> 00:11:18,160 Speaker 3: we can't. We can't hold a breath too much. 220 00:11:18,200 --> 00:11:20,200 Speaker 2: But you know, the main thing here is we just 221 00:11:20,240 --> 00:11:22,120 Speaker 2: look at this and we're like, hey, we'll take We'll 222 00:11:22,120 --> 00:11:26,360 Speaker 2: take these wins as they come along. I'm for you know, sane, 223 00:11:26,440 --> 00:11:29,400 Speaker 2: common sense people. And if we're looking at a democratic 224 00:11:29,440 --> 00:11:32,200 Speaker 2: socialist that is inside of the office right now and 225 00:11:32,240 --> 00:11:35,840 Speaker 2: they're now finally seeing just a sliver of truth, we'll 226 00:11:35,840 --> 00:11:37,840 Speaker 2: take that and keep running with it. And that's why 227 00:11:37,920 --> 00:11:39,520 Speaker 2: I think even this show, it's a great thing that 228 00:11:39,559 --> 00:11:41,559 Speaker 2: we have shows like this out there that are helping 229 00:11:41,800 --> 00:11:43,040 Speaker 2: helping people see both sides. 230 00:11:43,080 --> 00:11:46,679 Speaker 1: You know, Yeah, well we see how ridiculous the other 231 00:11:46,720 --> 00:11:48,079 Speaker 1: side is. That's what we try to do on this 232 00:11:48,120 --> 00:11:50,640 Speaker 1: show specifically. But yeah, you're right, I think we do 233 00:11:50,679 --> 00:11:52,400 Speaker 1: a pretty good job here, at least we try to. 234 00:11:53,120 --> 00:11:55,160 Speaker 1: R MBG will be right back after the break to 235 00:11:55,240 --> 00:12:00,360 Speaker 1: discuss the lower vaccination rates for kids going into governments schools, 236 00:12:00,360 --> 00:12:04,200 Speaker 1: which is really interesting. And LAPD how do they respond 237 00:12:04,280 --> 00:12:06,959 Speaker 1: to shoplifting? I find out after the break. We'll be 238 00:12:07,040 --> 00:12:07,400 Speaker 1: right back. 239 00:12:10,760 --> 00:12:13,760 Speaker 11: Got to admire what you've been able to do, not 240 00:12:13,800 --> 00:12:17,720 Speaker 11: to weaponize, but to organize on these college campuses. 241 00:12:17,440 --> 00:12:20,920 Speaker 10: At Turning Point USA. We've spent thirteen years building the machine, 242 00:12:20,960 --> 00:12:23,800 Speaker 10: and last year we sought payoff. Our grassroots army is 243 00:12:23,840 --> 00:12:24,760 Speaker 10: making a real difference. 244 00:12:25,000 --> 00:12:26,360 Speaker 4: Help us keep the momentum going. 245 00:12:26,520 --> 00:12:31,400 Speaker 10: Donate today and keep tp USA strong on campuses across America, and. 246 00:12:31,400 --> 00:12:33,640 Speaker 8: For a gift of any amount, you'll receive your big 247 00:12:33,640 --> 00:12:36,560 Speaker 8: Gov Sucks Cooler claim yours today. 248 00:12:41,920 --> 00:12:44,320 Speaker 1: Welcome back to Turning Point Tonight. We're together. We are 249 00:12:44,400 --> 00:12:46,760 Speaker 1: charting the course of America's cultural comeback. Let's check in 250 00:12:46,800 --> 00:12:49,320 Speaker 1: with Turning Points White House correspondent Monica Page at the 251 00:12:49,360 --> 00:12:52,240 Speaker 1: White House, Monica, hope you had a great weekend. How 252 00:12:52,240 --> 00:12:52,559 Speaker 1: you doing. 253 00:12:53,480 --> 00:12:56,079 Speaker 7: I'm doing great. Actually, the humidity is down, so we're 254 00:12:56,120 --> 00:12:57,760 Speaker 7: not sweating as much as we normally do. 255 00:12:57,880 --> 00:12:59,200 Speaker 3: Joe, Bob, We're. 256 00:12:59,400 --> 00:13:00,000 Speaker 7: Doing pretty good. 257 00:13:00,440 --> 00:13:02,560 Speaker 1: That is fantastic. We will check in with our White 258 00:13:02,559 --> 00:13:05,760 Speaker 1: House Correspondence Sweat update weekly as we go on in 259 00:13:05,800 --> 00:13:10,400 Speaker 1: the show, But Monica more serious ish news. ICE is 260 00:13:10,480 --> 00:13:14,920 Speaker 1: putting out a huge try recruitment effort trying to get 261 00:13:14,960 --> 00:13:18,600 Speaker 1: people on to ICE, including some massive signing bonus is 262 00:13:18,600 --> 00:13:21,520 Speaker 1: I actually sent one one of these advertisements that I 263 00:13:21,559 --> 00:13:23,040 Speaker 1: got to one of my friends that is like, ah, 264 00:13:23,080 --> 00:13:25,760 Speaker 1: this is pretty enticing, and he's sexted back. Yeah, and 265 00:13:25,760 --> 00:13:28,040 Speaker 1: it would also be a ton of fun. What is 266 00:13:28,080 --> 00:13:30,360 Speaker 1: the White House saying, and is it kind of they're 267 00:13:30,400 --> 00:13:35,400 Speaker 1: directive that this ICE campaign push to recruitment is going on. 268 00:13:35,400 --> 00:13:36,520 Speaker 1: What's the Admin saying? 269 00:13:37,360 --> 00:13:40,080 Speaker 7: Absolutely, Joe, Bob, this is massive. I mean, this is 270 00:13:40,120 --> 00:13:42,760 Speaker 7: all completely funded by the one big beautiful bill thankfully. 271 00:13:42,840 --> 00:13:46,800 Speaker 7: Than the main theme of this recruitment is called defending 272 00:13:46,840 --> 00:13:48,839 Speaker 7: the Homeland. So they're trying to record at least ten 273 00:13:48,960 --> 00:13:52,760 Speaker 7: thousand new ICE agents. They're trying to make ICE the 274 00:13:52,920 --> 00:13:56,439 Speaker 7: largest enforcement agency in the United States. And guess how 275 00:13:56,480 --> 00:14:01,400 Speaker 7: many applications they've already received. More than seventy thousand, which 276 00:14:01,520 --> 00:14:04,760 Speaker 7: is how wild I know. So the White House is 277 00:14:04,880 --> 00:14:07,679 Speaker 7: very excited about this. This is something that it's not 278 00:14:07,720 --> 00:14:09,480 Speaker 7: only going to be in a small scale, but on 279 00:14:09,520 --> 00:14:12,080 Speaker 7: a larger scale as well. Because this is I mean, 280 00:14:12,120 --> 00:14:14,520 Speaker 7: playtime is over when it comes to border and immigration. 281 00:14:14,720 --> 00:14:19,480 Speaker 7: This is like a massive deportation problems is the main 282 00:14:19,840 --> 00:14:22,040 Speaker 7: a massive project that they're working on. So you need 283 00:14:22,120 --> 00:14:23,760 Speaker 7: all hands on deck for something like this. So of 284 00:14:23,800 --> 00:14:26,160 Speaker 7: course the White House is really pushing for something like this. 285 00:14:26,240 --> 00:14:28,640 Speaker 7: And there's some great initiatives too, I mean, a fifty 286 00:14:28,720 --> 00:14:32,120 Speaker 7: thousand dollars signing bonus, you've got student loan forgiveness, you've 287 00:14:32,160 --> 00:14:35,480 Speaker 7: got some enhanced retirement benefits, so there's a lot of 288 00:14:35,520 --> 00:14:38,240 Speaker 7: good reason to sign up. I actually checked out join 289 00:14:38,360 --> 00:14:40,920 Speaker 7: dot ice dot gov and I was like, Oh, let's 290 00:14:40,920 --> 00:14:43,400 Speaker 7: see what kind of positions they're hiring for. So of 291 00:14:43,440 --> 00:14:47,000 Speaker 7: course they've got the deportation officer, the criminal investigator, and 292 00:14:47,040 --> 00:14:49,040 Speaker 7: a general attorney. Is what kind of like what they're 293 00:14:49,080 --> 00:14:52,120 Speaker 7: opening is. And I was wondering, Joe, Bob, where do 294 00:14:52,200 --> 00:14:54,160 Speaker 7: you think i'd be. I think I'd make a pretty 295 00:14:54,200 --> 00:14:55,680 Speaker 7: good deportation officer. 296 00:14:56,080 --> 00:14:58,520 Speaker 1: I was going to say, yeah, I was going to say, 297 00:14:58,560 --> 00:15:00,560 Speaker 1: the last thing I want to see if I'm an 298 00:15:00,600 --> 00:15:03,480 Speaker 1: illegal alien is Monica Page coming out of an armored 299 00:15:03,520 --> 00:15:07,760 Speaker 1: truck headed for me. That sounds like a terrifying situation. Also, 300 00:15:07,960 --> 00:15:10,160 Speaker 1: I think we should also hit on the irony here. 301 00:15:10,280 --> 00:15:13,320 Speaker 1: I would guarantee you you can find some libs on 302 00:15:13,760 --> 00:15:17,360 Speaker 1: X saying they're gonna forgive ice officers student loans. Yeah, 303 00:15:17,440 --> 00:15:20,000 Speaker 1: didn't you want to like forgive everybody's student loans. This 304 00:15:20,040 --> 00:15:21,920 Speaker 1: is an incentive for a job. It's part of the 305 00:15:22,240 --> 00:15:25,080 Speaker 1: financial payout structure here. It's very, very different from you 306 00:15:25,080 --> 00:15:27,720 Speaker 1: guys were doing. But that being said, that is fantastic. 307 00:15:27,760 --> 00:15:29,520 Speaker 1: We'll keep an eye on that. Thank you for those 308 00:15:29,720 --> 00:15:32,320 Speaker 1: those numbers. Holy cow, that's a lot of people that's applying. 309 00:15:33,040 --> 00:15:36,960 Speaker 1: Speaking of the White House, the legislative branch is on 310 00:15:37,160 --> 00:15:39,640 Speaker 1: leave or on their summer vacation as they always take. 311 00:15:40,080 --> 00:15:43,400 Speaker 1: What are the priorities for President Trump and the admin 312 00:15:43,480 --> 00:15:47,680 Speaker 1: overall during that legislative break? What are they trying to accomplish? 313 00:15:47,760 --> 00:15:50,040 Speaker 1: What are their main goals for when Congress returns back 314 00:15:50,040 --> 00:15:50,480 Speaker 1: to session. 315 00:15:51,520 --> 00:15:54,040 Speaker 7: I'm pretty sure President Trump has all osn the economy, 316 00:15:54,120 --> 00:15:57,800 Speaker 7: all eyes on trade deals and negotiations, tariff deals. We 317 00:15:57,880 --> 00:16:00,240 Speaker 7: know that billions of dollars were taken in just in 318 00:16:00,320 --> 00:16:04,520 Speaker 7: July alone from other nations thanks to these tariffs, and 319 00:16:04,560 --> 00:16:06,960 Speaker 7: the President is still looking at broker in peace steals. 320 00:16:07,040 --> 00:16:09,560 Speaker 7: There's a report out by the Middle East Eye Report. 321 00:16:09,560 --> 00:16:12,680 Speaker 7: I believe that says that the two nations of Armenia 322 00:16:12,680 --> 00:16:15,000 Speaker 7: and Aerbaijan will be coming here to the White House 323 00:16:15,000 --> 00:16:17,600 Speaker 7: to sign a potential peace steal. They had the draft 324 00:16:17,680 --> 00:16:19,640 Speaker 7: kind of figured out in March. But the President is 325 00:16:19,720 --> 00:16:22,920 Speaker 7: ready to make peace deals. He's ready to just keep 326 00:16:22,960 --> 00:16:25,360 Speaker 7: the nation, keep the economy hot, as he says on 327 00:16:25,400 --> 00:16:28,640 Speaker 7: truth social and try and make global peace. Give this 328 00:16:28,720 --> 00:16:31,800 Speaker 7: man a Nobel Peace prize. So it'll be very interesting 329 00:16:31,960 --> 00:16:34,760 Speaker 7: to see how the two nations come together, especially in 330 00:16:34,760 --> 00:16:37,480 Speaker 7: that region. It's been pretty tense over the last couple 331 00:16:37,520 --> 00:16:40,760 Speaker 7: of years. So that's really the president's main focus, the 332 00:16:40,800 --> 00:16:42,600 Speaker 7: economy and global peace. 333 00:16:43,000 --> 00:16:45,600 Speaker 1: Global peace on the docket. Love it, Monica, you have 334 00:16:45,640 --> 00:16:48,000 Speaker 1: the inside track on this. What are the chances we 335 00:16:48,040 --> 00:16:53,080 Speaker 1: see President Trump's shirtless on a beach somewhere Little to none. 336 00:16:53,840 --> 00:16:56,680 Speaker 7: Unfortunately for all those who want to see that, I 337 00:16:56,680 --> 00:16:58,800 Speaker 7: don't think that's happening. I mean, you'll see him sweaty 338 00:16:58,840 --> 00:17:02,000 Speaker 7: at a golf course, making more deals and connecting with people, 339 00:17:02,040 --> 00:17:04,640 Speaker 7: but I don't know. Sherlesslana Beach is not one of them. 340 00:17:04,800 --> 00:17:08,119 Speaker 1: It's amazing that the past administration let that happen during 341 00:17:08,200 --> 00:17:10,960 Speaker 1: their suburb breaks, said, thank god, we will be seeing 342 00:17:11,000 --> 00:17:13,320 Speaker 1: that coming out of this White House modict page thirty points, 343 00:17:13,320 --> 00:17:15,159 Speaker 1: White House score spoted. Thanks so much for checking in. 344 00:17:15,920 --> 00:17:17,359 Speaker 6: Thanks so much, you guys, Thank you. 345 00:17:18,520 --> 00:17:23,600 Speaker 1: Vaccination rates among kids going into government schools is well, Sorry, 346 00:17:23,680 --> 00:17:26,440 Speaker 1: the exemptions for vaccination is at as highest, so I 347 00:17:26,440 --> 00:17:30,080 Speaker 1: guess obviously those are inversely related. So the vaccination rate 348 00:17:30,160 --> 00:17:32,480 Speaker 1: is down, but the exemption is up, which makes a 349 00:17:32,480 --> 00:17:34,480 Speaker 1: lot of sense. I don't know why I'm twisting my 350 00:17:34,560 --> 00:17:38,040 Speaker 1: own numbers here, but bottom line is, more parents than 351 00:17:38,119 --> 00:17:41,359 Speaker 1: ever around this country are exempting their kids from vaccines 352 00:17:41,440 --> 00:17:45,520 Speaker 1: going into schools government schools. Specifically, let's bring in our 353 00:17:45,560 --> 00:17:48,879 Speaker 1: panel of not doctors, including myself. Ari, I am not 354 00:17:49,000 --> 00:17:51,960 Speaker 1: a doctor. Zu, I'm also not a doctor. None of 355 00:17:52,040 --> 00:17:55,000 Speaker 1: us here are doctors, so we're not giving you medical vice, 356 00:17:55,480 --> 00:17:59,600 Speaker 1: advice whatsoever. Having said that, Ari, this is pretty interesting 357 00:18:00,200 --> 00:18:02,600 Speaker 1: that the numbers keep ticking up. The twenty twenty four 358 00:18:02,600 --> 00:18:05,600 Speaker 1: to twenty twenty five school year was the highest on 359 00:18:05,800 --> 00:18:08,919 Speaker 1: record of parents submitting exemptions for their kids to get 360 00:18:09,000 --> 00:18:12,439 Speaker 1: vaccinated going to government schools. Why do you think that is? 361 00:18:13,359 --> 00:18:13,639 Speaker 4: Well? 362 00:18:13,720 --> 00:18:15,520 Speaker 5: I did play a doctor in college one time in 363 00:18:15,600 --> 00:18:17,520 Speaker 5: the ploy. It worn't be fair. I did do that 364 00:18:17,560 --> 00:18:19,600 Speaker 5: one time. I have a little bit of expertise. Well, 365 00:18:19,640 --> 00:18:21,840 Speaker 5: speaking as a parent, I've got three kids, and the 366 00:18:21,880 --> 00:18:25,640 Speaker 5: amount of shots they are giving kids these days it 367 00:18:25,680 --> 00:18:28,439 Speaker 5: was far out numbering what we used to get as kids, 368 00:18:28,720 --> 00:18:30,960 Speaker 5: or even what they got a few years before that. 369 00:18:31,280 --> 00:18:33,040 Speaker 5: And so a lot of parents are saying, you know what, 370 00:18:33,119 --> 00:18:35,720 Speaker 5: it's not that I'm skeptical of vaccines. Is that why 371 00:18:35,760 --> 00:18:38,199 Speaker 5: are you giving them all these things at all the 372 00:18:38,320 --> 00:18:41,920 Speaker 5: same time, you factor into that also the COVID insanity, 373 00:18:42,200 --> 00:18:45,520 Speaker 5: and you have some healthy skepticism. Now, what a lot 374 00:18:45,520 --> 00:18:48,280 Speaker 5: of people didn't take into account is heard immunity during COVID. 375 00:18:48,480 --> 00:18:51,080 Speaker 5: What herd immunity is is seventy five percent. In fact, 376 00:18:51,119 --> 00:18:53,920 Speaker 5: the schools have a certain number of kids that can 377 00:18:53,960 --> 00:18:56,919 Speaker 5: be unvaccinated for religious reasons, for anything else, and you 378 00:18:56,960 --> 00:18:59,480 Speaker 5: still have heard immunity. Well, what's happening right now is 379 00:18:59,520 --> 00:19:02,840 Speaker 5: you have this skepticism of the medical field because people 380 00:19:02,840 --> 00:19:05,200 Speaker 5: were alied to they know they were alied to, Oh, 381 00:19:05,280 --> 00:19:07,800 Speaker 5: if you get the vacs, you can't spread it, it'll 382 00:19:07,840 --> 00:19:08,680 Speaker 5: stop everything. 383 00:19:08,920 --> 00:19:12,320 Speaker 6: So they don't believe what their own doctors are telling them. Anymore. 384 00:19:12,600 --> 00:19:13,480 Speaker 6: You factor into. 385 00:19:13,359 --> 00:19:15,480 Speaker 5: That how many people have left the public school system, 386 00:19:15,520 --> 00:19:17,239 Speaker 5: how many people have gone to the homeschool system, how 387 00:19:17,240 --> 00:19:19,399 Speaker 5: many people have gone to the charter school system, how 388 00:19:19,400 --> 00:19:21,720 Speaker 5: many people have gone to the private school system. And 389 00:19:21,760 --> 00:19:24,160 Speaker 5: this is something that is spreading more and more and more. 390 00:19:24,400 --> 00:19:26,600 Speaker 5: It's all the medical field's fault. 391 00:19:27,400 --> 00:19:30,119 Speaker 1: Ari. It seems that you're questioning our Lord and savior, 392 00:19:30,160 --> 00:19:32,439 Speaker 1: doctor Fauci. You better be careful. You might get canceled 393 00:19:32,480 --> 00:19:36,840 Speaker 1: for that sort of sort of hateful rhetoric. Biju. This 394 00:19:36,920 --> 00:19:39,320 Speaker 1: is Yeah. They've mentioned in this article that there's been 395 00:19:39,320 --> 00:19:43,600 Speaker 1: an uptick in various diseases, but what they don't say is, well, 396 00:19:43,800 --> 00:19:45,960 Speaker 1: everyone who's gotten it has all of a sudden died. 397 00:19:46,000 --> 00:19:47,840 Speaker 1: Oh that's not the case. You know, some kids might 398 00:19:47,880 --> 00:19:50,879 Speaker 1: get sick and hopefully their immunity can be better, like 399 00:19:50,880 --> 00:19:55,040 Speaker 1: al was talking about the herd immunity. Most of these exemptions, also, too, 400 00:19:55,080 --> 00:19:58,359 Speaker 1: are for personal religious basis is, they're not medical basis is. 401 00:19:58,880 --> 00:20:00,679 Speaker 1: What do you think this says about the culture and 402 00:20:00,760 --> 00:20:04,160 Speaker 1: kind of the shifting elements of how we navigate our 403 00:20:04,240 --> 00:20:06,920 Speaker 1: medical system, our own health, and all of the things 404 00:20:06,960 --> 00:20:08,040 Speaker 1: involved with that. 405 00:20:09,240 --> 00:20:11,800 Speaker 2: Yeah, No, I one hundred percent agree that parents should 406 00:20:11,800 --> 00:20:14,399 Speaker 2: have that right to make a decision for their kids. 407 00:20:14,440 --> 00:20:17,440 Speaker 2: Like I mean, the CDC has been changing its mind 408 00:20:17,560 --> 00:20:20,160 Speaker 2: more times than a toddler changes its clothes in the day, 409 00:20:20,200 --> 00:20:23,159 Speaker 2: and no wonder a parent is going and saying, you 410 00:20:23,200 --> 00:20:25,600 Speaker 2: know what, I have major doubts right now. I have 411 00:20:25,680 --> 00:20:28,479 Speaker 2: major doubts at least at this point. Like even if 412 00:20:28,520 --> 00:20:30,880 Speaker 2: you're not anti vacs, wait till they're older to make 413 00:20:30,880 --> 00:20:33,320 Speaker 2: your decisions. Give yourself some time to figure this stuff out. 414 00:20:33,359 --> 00:20:35,200 Speaker 2: You don't need to hit them with, you know, all 415 00:20:35,200 --> 00:20:37,280 Speaker 2: those shots right away when they're at a young age. 416 00:20:37,359 --> 00:20:40,040 Speaker 2: And gosh, I mean I got vaccines when I was 417 00:20:40,160 --> 00:20:42,680 Speaker 2: very young, and thankfully didn't get a ton of them. 418 00:20:43,080 --> 00:20:45,639 Speaker 2: My mom learned later on, but I even had my 419 00:20:45,680 --> 00:20:48,240 Speaker 2: own reactions to it. My brother had he had to 420 00:20:48,240 --> 00:20:51,639 Speaker 2: get surgery because the vaccines just over the years, and 421 00:20:51,640 --> 00:20:54,560 Speaker 2: that's not even talking about like the COVID vaccine. Thankfully 422 00:20:54,560 --> 00:20:57,080 Speaker 2: we figured it out by then, So you know, I 423 00:20:57,119 --> 00:20:59,600 Speaker 2: think it's like for every parent to decide for sure, 424 00:21:00,080 --> 00:21:03,639 Speaker 2: but this is definitely a trust crisis. And even on 425 00:21:03,680 --> 00:21:06,479 Speaker 2: the religious note, like I totally agree, I think medical 426 00:21:06,520 --> 00:21:09,840 Speaker 2: freedom should not be something that's political it's personal. 427 00:21:09,920 --> 00:21:13,000 Speaker 3: It's something that you make with your family, you know. 428 00:21:13,160 --> 00:21:15,080 Speaker 1: I just wanted to reiterate the fact that none of 429 00:21:15,119 --> 00:21:17,640 Speaker 1: us on this panel are doctors again, even though Ari 430 00:21:17,800 --> 00:21:20,600 Speaker 1: played one in a play in college. Do not take 431 00:21:20,640 --> 00:21:23,120 Speaker 1: our medical advice, just you know, going with a little 432 00:21:23,119 --> 00:21:25,960 Speaker 1: bit of a healthy skepticism, which we are all well 433 00:21:26,000 --> 00:21:29,840 Speaker 1: earned during the COVID years. Although we're not doctors, we 434 00:21:29,960 --> 00:21:32,480 Speaker 1: all do have eyeballs, which is why I want to 435 00:21:32,480 --> 00:21:34,800 Speaker 1: show you this clip from Los Angeles. This is an 436 00:21:35,240 --> 00:21:39,880 Speaker 1: unfortunately common occurrence among many convenience stores in the LA 437 00:21:40,000 --> 00:21:42,879 Speaker 1: area that has lost all hope of sanity. Watch this 438 00:21:42,960 --> 00:21:44,080 Speaker 1: and we'll discuss. 439 00:21:44,040 --> 00:21:47,640 Speaker 12: Sudden burst of young thieves as two dozen kids take 440 00:21:47,720 --> 00:21:51,000 Speaker 12: over the Chevron station in Lincoln Heights, just ambush. 441 00:21:50,680 --> 00:21:52,640 Speaker 4: The store and ransacted it pretty much. 442 00:21:52,880 --> 00:21:55,760 Speaker 12: Owner Jerry Salieve says it happened in an instant. You 443 00:21:55,760 --> 00:21:58,800 Speaker 12: can see the young boys grabbing boxes full of candy 444 00:21:59,080 --> 00:22:02,399 Speaker 12: as many chips. Says they could carry even cases of beer. 445 00:22:02,720 --> 00:22:05,280 Speaker 12: Salib says they got away with more than twelve hundred 446 00:22:05,320 --> 00:22:08,320 Speaker 12: dollars worth of goods. Adding to his frustration, he says 447 00:22:08,359 --> 00:22:10,160 Speaker 12: the LAPD couldn't help. 448 00:22:10,400 --> 00:22:12,280 Speaker 11: They said, there's nothing they can do about it. They said, 449 00:22:12,280 --> 00:22:15,720 Speaker 11: it's considered shoplifting, and shoplifting, isn't it something they can 450 00:22:15,760 --> 00:22:16,840 Speaker 11: really go after? 451 00:22:17,119 --> 00:22:19,919 Speaker 12: Celib says, given their tactics, he's sure the thieves have 452 00:22:20,040 --> 00:22:23,760 Speaker 12: struck before, and he's hoping they'll be held accountable before 453 00:22:23,840 --> 00:22:26,479 Speaker 12: they commit another calculated crime. 454 00:22:27,680 --> 00:22:31,760 Speaker 1: Ari, I'm curious about the more I don't know esoteric 455 00:22:31,840 --> 00:22:34,880 Speaker 1: approach here. We can talk all day about the California 456 00:22:34,920 --> 00:22:39,320 Speaker 1: decriminalizing crime bills and laws that they've put into place, 457 00:22:39,680 --> 00:22:43,440 Speaker 1: but what happens when the police don't actually go after 458 00:22:43,480 --> 00:22:46,360 Speaker 1: this sort of stuff and where could that potentially lead us? 459 00:22:47,000 --> 00:22:49,840 Speaker 5: You got San Francisco, you get downtown San Francisco, you 460 00:22:49,880 --> 00:22:52,960 Speaker 5: get Seattle, You get all these cities like Portland where 461 00:22:53,000 --> 00:22:56,320 Speaker 5: the downtown corridors, all these shops are moving out because 462 00:22:56,320 --> 00:22:57,399 Speaker 5: who wants to deal with these. 463 00:22:57,280 --> 00:22:59,600 Speaker 6: Problems on the regular. In fact, you get something more 464 00:22:59,640 --> 00:22:59,919 Speaker 6: than that. 465 00:23:00,400 --> 00:23:02,840 Speaker 5: Now, a lot of these big chains are telling their 466 00:23:02,840 --> 00:23:05,280 Speaker 5: employees just let them walk out, which. 467 00:23:05,119 --> 00:23:07,120 Speaker 6: Leads to more and more. Here's something else you get. 468 00:23:07,320 --> 00:23:09,880 Speaker 5: You get more expensive prices for you and me, because 469 00:23:09,920 --> 00:23:12,600 Speaker 5: to offset that amount of loss that they're taking, they 470 00:23:12,680 --> 00:23:14,520 Speaker 5: raise the prices on products. 471 00:23:14,560 --> 00:23:16,680 Speaker 6: They raise the prices on goods. 472 00:23:16,920 --> 00:23:18,720 Speaker 5: Here in Washington, you can still up to one thousand 473 00:23:18,720 --> 00:23:20,840 Speaker 5: dollars and not have a problem. Just like in California, 474 00:23:20,880 --> 00:23:23,520 Speaker 5: people are leaving lows with a lawnmower just walking out 475 00:23:23,560 --> 00:23:26,320 Speaker 5: the front door. I see it happen in my local shop, 476 00:23:26,359 --> 00:23:28,359 Speaker 5: which is right across the street from a homeless shelter. 477 00:23:28,760 --> 00:23:30,480 Speaker 5: So this is the kind of what you're seeing, which 478 00:23:30,520 --> 00:23:33,480 Speaker 5: is the end of our urban cities because a theft 479 00:23:33,480 --> 00:23:34,800 Speaker 5: and people are just moving away. 480 00:23:34,840 --> 00:23:36,520 Speaker 6: They are fleeing the urban centers. 481 00:23:36,760 --> 00:23:38,920 Speaker 5: And this is why Florida has so many people living 482 00:23:38,920 --> 00:23:41,680 Speaker 5: in it because people left during COVID, people left from 483 00:23:41,720 --> 00:23:43,920 Speaker 5: the crime. And if Mom Donnie gets elected in New York, 484 00:23:44,040 --> 00:23:46,320 Speaker 5: you're gonna see another mass exodus out of New York 485 00:23:46,320 --> 00:23:48,920 Speaker 5: City down to Florida. Every time I watch a Mets game, 486 00:23:48,920 --> 00:23:51,480 Speaker 5: there's more people cheering for the Mets than the Marlins 487 00:23:51,480 --> 00:23:52,760 Speaker 5: down in Florida these days. 488 00:23:53,520 --> 00:23:55,919 Speaker 1: Yeah, I think the most egregious part about your statement 489 00:23:55,920 --> 00:23:57,359 Speaker 1: there is the fact that you're a Mets fan. But 490 00:23:57,720 --> 00:24:01,560 Speaker 1: we'll move on from that. So my biggest concern is 491 00:24:01,600 --> 00:24:04,560 Speaker 1: sardy to take it back. Seriously, My biggest concern is, Okay, well, 492 00:24:04,600 --> 00:24:07,080 Speaker 1: what inevitably happens. If I'm the store owner, I start 493 00:24:07,119 --> 00:24:09,960 Speaker 1: to take matters in my own hands, and unfortunately, that'll 494 00:24:09,960 --> 00:24:13,840 Speaker 1: probably lead to people getting hurt, if not worse. How 495 00:24:13,880 --> 00:24:16,120 Speaker 1: do we as a society and as a culture get 496 00:24:16,280 --> 00:24:16,840 Speaker 1: past that. 497 00:24:18,320 --> 00:24:21,000 Speaker 2: Yeah, I mean, you know, if you're in Texas, I 498 00:24:21,040 --> 00:24:23,080 Speaker 2: don't think this would fly as much. But you know, 499 00:24:23,160 --> 00:24:25,639 Speaker 2: it just depends on where you're at. So there's a 500 00:24:25,640 --> 00:24:28,720 Speaker 2: little bit of it's putting everybody in a hard place. 501 00:24:28,760 --> 00:24:31,440 Speaker 2: You're putting the shop, shop owners into this hardspot, You're 502 00:24:31,440 --> 00:24:34,280 Speaker 2: putting the customers in danger. You're actually even putting the 503 00:24:34,280 --> 00:24:37,399 Speaker 2: thieves themselves into danger because at some point somebody is 504 00:24:37,440 --> 00:24:39,960 Speaker 2: gonna snap and then it's gonna be the new. 505 00:24:39,880 --> 00:24:41,160 Speaker 3: Story that's going to be everywhere. 506 00:24:41,240 --> 00:24:44,520 Speaker 2: So you know, California they're having this model right now, like, oh, 507 00:24:44,520 --> 00:24:46,560 Speaker 2: if you can carry it, it's yours, and it's it's 508 00:24:46,600 --> 00:24:47,240 Speaker 2: just not gonna fly. 509 00:24:47,400 --> 00:24:49,080 Speaker 3: It's not gonna fly for very much longer. 510 00:24:49,359 --> 00:24:51,560 Speaker 1: Yeah, geez, the whole you can carry it if it's yours. 511 00:24:51,560 --> 00:24:54,480 Speaker 1: That is coming more and more prevalent as the time 512 00:24:54,560 --> 00:24:58,160 Speaker 1: goes on. Scary, but I don't know. Hopefully, I'm optimistic 513 00:24:58,160 --> 00:25:01,520 Speaker 1: that people start realizing how ridiculous that is. RIBSU thanks 514 00:25:01,480 --> 00:25:03,159 Speaker 1: you guys for so much for joining us. Really appreciate 515 00:25:03,200 --> 00:25:06,040 Speaker 1: you taking the time, special pleasure. Thanks for having us, buddy, 516 00:25:06,359 --> 00:25:08,240 Speaker 1: Thank you. Coming up next year on Turning Point Tonight, 517 00:25:08,280 --> 00:25:11,280 Speaker 1: we've got a fantastic clip Mouse Clark's Culture Apothecary podcast. 518 00:25:11,280 --> 00:25:13,040 Speaker 1: Don't go oya, it will be right back after the break, 519 00:25:17,880 --> 00:25:18,119 Speaker 1: got it. 520 00:25:18,359 --> 00:25:21,879 Speaker 11: Admire what you've been able to do, not to weaponize, 521 00:25:21,960 --> 00:25:24,760 Speaker 11: but to organize on these college campuses. 522 00:25:24,560 --> 00:25:28,040 Speaker 10: At Turning Point USA. We've spent thirteen years building the machine, 523 00:25:28,080 --> 00:25:30,920 Speaker 10: and last year we sought payoff. Our grassroots army is 524 00:25:30,920 --> 00:25:33,440 Speaker 10: making a real difference. Help us keep the momentum going. 525 00:25:33,640 --> 00:25:39,000 Speaker 10: Donate today and keep TPUSA strong on campuses across America. 526 00:25:38,320 --> 00:25:40,520 Speaker 8: And for a gift of any amount, you'll receive your 527 00:25:40,520 --> 00:25:43,840 Speaker 8: big Gov sucks cooler claim yours today. 528 00:25:48,960 --> 00:25:53,840 Speaker 13: Okay, you had some air purifier videos that went super viral. 529 00:25:54,320 --> 00:25:56,280 Speaker 14: What should people actually look. 530 00:25:56,119 --> 00:25:58,280 Speaker 13: For in an air purifier when they're buying one to 531 00:25:58,280 --> 00:25:59,119 Speaker 13: help with allergies? 532 00:25:59,119 --> 00:26:01,120 Speaker 15: And what were you saying in this video that. 533 00:26:01,359 --> 00:26:03,440 Speaker 16: Like, so this was a really good it's a good question. 534 00:26:03,520 --> 00:26:05,320 Speaker 16: Number one, you want to make sure the air purifier 535 00:26:05,400 --> 00:26:06,480 Speaker 16: is the appropriate. 536 00:26:06,040 --> 00:26:06,880 Speaker 15: Size for your room. 537 00:26:07,200 --> 00:26:09,439 Speaker 16: So like don't get a little tiny air purifier and 538 00:26:09,440 --> 00:26:10,960 Speaker 16: then put it in your living room and think it's 539 00:26:10,960 --> 00:26:12,800 Speaker 16: going to do anything that you have to make sure 540 00:26:12,840 --> 00:26:15,119 Speaker 16: that it's like it'll tell you the like measurements and 541 00:26:15,160 --> 00:26:16,560 Speaker 16: the square footage and stuff. You have to do a 542 00:26:16,560 --> 00:26:18,439 Speaker 16: little math, but make sure it's the proper size for 543 00:26:18,480 --> 00:26:20,760 Speaker 16: the room. The second is you want to make sure 544 00:26:20,760 --> 00:26:23,760 Speaker 16: you have an activated carbon filter if you're wanting to 545 00:26:23,800 --> 00:26:26,880 Speaker 16: get what we call volatile organic compounds out of the air. 546 00:26:27,240 --> 00:26:30,000 Speaker 16: So these are these off gases and stuff, whether it's 547 00:26:30,040 --> 00:26:34,720 Speaker 16: like from mold or it's from composite wood furniture or 548 00:26:34,800 --> 00:26:37,760 Speaker 16: any plastic furniture and stuff like that. Like people don't 549 00:26:37,800 --> 00:26:41,320 Speaker 16: think about their indoor microbiome and the air that you're breathing. 550 00:26:41,800 --> 00:26:44,720 Speaker 16: And we spend ninety percent of our time indoors, and 551 00:26:44,800 --> 00:26:47,840 Speaker 16: so like if you're there's paint or again you just 552 00:26:47,880 --> 00:26:48,640 Speaker 16: buy new furniture. 553 00:26:48,680 --> 00:26:50,800 Speaker 15: Do you ever have like a smell to your furniture? 554 00:26:51,280 --> 00:26:52,720 Speaker 15: I those are toxins. 555 00:26:52,800 --> 00:26:55,560 Speaker 13: Yeah, a very old episode I did a couple of 556 00:26:55,600 --> 00:26:59,320 Speaker 13: years ago which was all about like having a non 557 00:26:59,359 --> 00:27:02,000 Speaker 13: toxic home. They were talking about that like the worst 558 00:27:02,040 --> 00:27:03,920 Speaker 13: thing you could do, ever, is buy a new couch 559 00:27:03,920 --> 00:27:06,520 Speaker 13: and immediately put in your living room. Like buy new couch, 560 00:27:06,520 --> 00:27:08,159 Speaker 13: have it like sit outside if you can, if the 561 00:27:08,200 --> 00:27:10,120 Speaker 13: weather permits, like have it set outside for a couple 562 00:27:10,119 --> 00:27:11,840 Speaker 13: of days before moving it in. And all this and 563 00:27:12,640 --> 00:27:15,000 Speaker 13: that your furniture's got to air out and off gas. 564 00:27:15,080 --> 00:27:16,040 Speaker 15: Well, you know, it's crazy. 565 00:27:16,080 --> 00:27:18,760 Speaker 16: It's like why don't we have better furniture standards, Like 566 00:27:18,840 --> 00:27:21,560 Speaker 16: why is it that there can be like off gasing 567 00:27:21,720 --> 00:27:24,040 Speaker 16: and all these chemicals and it comes from like the 568 00:27:24,080 --> 00:27:27,480 Speaker 16: composite furniture. It's the adhesive glue, Yeah, that's in there. 569 00:27:27,600 --> 00:27:31,280 Speaker 16: These things, even chemical flame retardants that your mattress is 570 00:27:31,280 --> 00:27:33,920 Speaker 16: treated with or the couch is treated with like this 571 00:27:34,119 --> 00:27:36,840 Speaker 16: all gets suspended back into the air and can be 572 00:27:37,000 --> 00:27:40,080 Speaker 16: very irritating. So anyway, the air filter should be activated 573 00:27:40,080 --> 00:27:43,320 Speaker 16: carbon to get rid of those volatile organic compounds that 574 00:27:43,359 --> 00:27:46,280 Speaker 16: are circulating around as well as like small particles like 575 00:27:46,320 --> 00:27:49,119 Speaker 16: smoke and things like that. Then you also want a 576 00:27:49,200 --> 00:27:52,440 Speaker 16: HEPA filter as well, because that's what's going to capture 577 00:27:52,680 --> 00:27:53,520 Speaker 16: the allergens. 578 00:27:53,800 --> 00:27:55,240 Speaker 15: So you want it to be those two things. 579 00:27:55,280 --> 00:27:57,320 Speaker 16: If it's not, what can happen with an air filter 580 00:27:57,400 --> 00:28:00,720 Speaker 16: or air purefire is it sucks in this air it 581 00:28:00,760 --> 00:28:04,000 Speaker 16: doesn't have the proper filtration system and then the air 582 00:28:04,280 --> 00:28:07,440 Speaker 16: goes back up and like recirculates with all that junk 583 00:28:07,440 --> 00:28:08,080 Speaker 16: inside of it. 584 00:28:08,480 --> 00:28:10,200 Speaker 15: So you really want to be careful with your air. 585 00:28:10,240 --> 00:28:14,160 Speaker 13: Pere five Well some until RFK we need a furniture 586 00:28:14,320 --> 00:28:16,000 Speaker 13: chemical division of MAHA. 587 00:28:16,040 --> 00:28:18,320 Speaker 16: I think it's the same thing. It's like we're talking 588 00:28:18,320 --> 00:28:21,120 Speaker 16: about the ultra process spudes. We're talking about the synthetic 589 00:28:21,160 --> 00:28:24,760 Speaker 16: fragrance as present in cosmetics and the preservatives earn in cosmetics. 590 00:28:24,800 --> 00:28:27,360 Speaker 16: And then the third bucket is the stuff that we're 591 00:28:27,359 --> 00:28:28,560 Speaker 16: bringing into our home. 592 00:28:28,440 --> 00:28:30,480 Speaker 13: Bringing into the home and also building our homes with 593 00:28:30,680 --> 00:28:33,960 Speaker 13: exactly your carpet and no standards. 594 00:28:34,000 --> 00:28:34,240 Speaker 15: Yeah. 595 00:28:34,320 --> 00:28:36,800 Speaker 16: Yeah, in California they at least have a standard that 596 00:28:36,880 --> 00:28:39,800 Speaker 16: says this contains something that will be harmful to your 597 00:28:39,840 --> 00:28:43,680 Speaker 16: respiratory health. But it's the only state that even requires it. Yeah, 598 00:28:43,360 --> 00:28:45,440 Speaker 16: we need to look into that. And at least it's 599 00:28:45,480 --> 00:28:47,480 Speaker 16: a label. I mean it's a label. We're still not 600 00:28:47,520 --> 00:28:48,320 Speaker 16: saying you can't have. 601 00:28:48,320 --> 00:28:50,160 Speaker 15: It, just as you have to make people aware of it, right, 602 00:28:50,280 --> 00:28:52,520 Speaker 15: But why is that only the standard in one state 603 00:28:52,560 --> 00:28:55,080 Speaker 15: and then everywhere else you don't require. 604 00:28:54,720 --> 00:28:55,360 Speaker 14: That good questions. 605 00:28:55,400 --> 00:28:58,600 Speaker 13: You're asked that how reliable are at home allergy tests 606 00:28:58,600 --> 00:29:00,560 Speaker 13: compared to what you do in the clinic, and then 607 00:29:00,600 --> 00:29:03,280 Speaker 13: when should people skip the DIY kits. 608 00:29:03,560 --> 00:29:06,080 Speaker 16: So the science has gotten a lot better with the 609 00:29:06,160 --> 00:29:10,040 Speaker 16: DIY allergy kits. But like, let's start here with you 610 00:29:10,080 --> 00:29:11,920 Speaker 16: can have a skin test or you can have a 611 00:29:11,960 --> 00:29:14,960 Speaker 16: blood test, right, and then within blood tests, you can 612 00:29:14,960 --> 00:29:17,320 Speaker 16: have either a blood draw or you can have a 613 00:29:17,360 --> 00:29:20,840 Speaker 16: finger prick test. Right, So the DYI kits that you 614 00:29:20,840 --> 00:29:23,680 Speaker 16: can have in your own in your home are a. 615 00:29:23,640 --> 00:29:24,760 Speaker 15: Finger prick test. 616 00:29:24,800 --> 00:29:27,840 Speaker 16: So this is a newer science, but it's gotten really 617 00:29:27,840 --> 00:29:29,480 Speaker 16: good where you squeeze a little bit amount and you 618 00:29:29,520 --> 00:29:31,080 Speaker 16: put it on blotting paper and they send it to 619 00:29:31,160 --> 00:29:34,720 Speaker 16: the lab. There have been validation studies that show that 620 00:29:35,160 --> 00:29:38,920 Speaker 16: certain test kits are almost as good as having a 621 00:29:38,920 --> 00:29:41,440 Speaker 16: blood draw. So, like the science has gotten pretty good. 622 00:29:41,480 --> 00:29:45,040 Speaker 16: So basically like directionally accurate, right, if it's a positive test, 623 00:29:45,360 --> 00:29:48,800 Speaker 16: you can trust that you likely have what we call sensitization, 624 00:29:49,280 --> 00:29:51,680 Speaker 16: and then we correlate that with your history. So there's 625 00:29:51,800 --> 00:29:55,600 Speaker 16: value in just the finger prick tests, right, blood draw 626 00:29:55,880 --> 00:29:58,440 Speaker 16: versus the skin prick tests that we would do in 627 00:29:58,480 --> 00:30:01,719 Speaker 16: the doctor's office pretty much much equivalent. We used to 628 00:30:01,760 --> 00:30:04,480 Speaker 16: say that a skin prick test that's done in the 629 00:30:04,480 --> 00:30:06,640 Speaker 16: doctor's office, and what that is is we give you 630 00:30:07,000 --> 00:30:10,000 Speaker 16: we take the tiny allergenic proteins, we drop it on 631 00:30:10,040 --> 00:30:11,720 Speaker 16: your skin, and then we literally prick your skin, we 632 00:30:11,800 --> 00:30:13,360 Speaker 16: like scratch your skin, and then you get it like 633 00:30:13,400 --> 00:30:14,200 Speaker 16: all these welts on you. 634 00:30:14,280 --> 00:30:14,920 Speaker 1: We used to. 635 00:30:14,880 --> 00:30:17,440 Speaker 16: Say that that was more likely to pick up more 636 00:30:17,480 --> 00:30:20,760 Speaker 16: allergens or more allergies. Now the science is such that 637 00:30:20,800 --> 00:30:22,800 Speaker 16: we say the blood test is just as good. And 638 00:30:22,840 --> 00:30:25,480 Speaker 16: the benefit of the blood draw test is that you 639 00:30:25,520 --> 00:30:28,480 Speaker 16: don't have to stop taking your allergy medicines in order 640 00:30:28,520 --> 00:30:31,000 Speaker 16: to do it, because when you're taking something like an 641 00:30:30,960 --> 00:30:34,520 Speaker 16: antihistamine like a Zyrtec or a clergen or something, and 642 00:30:34,880 --> 00:30:37,080 Speaker 16: you have the skin prick test, it'll blunt the response. 643 00:30:37,120 --> 00:30:39,440 Speaker 15: You won't react because you have antihistamines in you. 644 00:30:39,520 --> 00:30:41,360 Speaker 13: I'm sure that you've had to help solve like some 645 00:30:41,400 --> 00:30:45,680 Speaker 13: really mysterious allergy situations before, So how do you play 646 00:30:45,760 --> 00:30:49,640 Speaker 13: detective when the allergy trigger isn't super obvious. 647 00:30:49,840 --> 00:30:51,560 Speaker 15: It's like why I became a doctor. 648 00:30:51,600 --> 00:30:53,240 Speaker 16: It's like the most fun thing because you just have 649 00:30:53,320 --> 00:30:56,240 Speaker 16: to listen, and you have to like be really attentive 650 00:30:56,240 --> 00:30:58,520 Speaker 16: and be like, Okay, what were you doing on this day? 651 00:30:58,920 --> 00:31:01,880 Speaker 16: Like who were you with, where were you, what were 652 00:31:01,880 --> 00:31:03,480 Speaker 16: you eating, what were you wearing? 653 00:31:03,800 --> 00:31:05,880 Speaker 15: Like it's so multi factorial. 654 00:31:06,040 --> 00:31:08,440 Speaker 16: I have had people react to like their wool clothing, 655 00:31:08,840 --> 00:31:10,239 Speaker 16: you know, and they thought, oh my gosh, I had 656 00:31:10,320 --> 00:31:12,200 Speaker 16: hides from a food and it was like, no, I 657 00:31:12,240 --> 00:31:14,720 Speaker 16: was wearing this new like Angora wool sweater that I 658 00:31:14,880 --> 00:31:17,360 Speaker 16: just got from like Brazil or whatever, and like, you know, 659 00:31:17,400 --> 00:31:20,320 Speaker 16: it's like what's the where's the location of your rash? 660 00:31:20,360 --> 00:31:20,560 Speaker 17: You know? 661 00:31:20,640 --> 00:31:22,640 Speaker 15: Have you eaten those foods again? And then not have 662 00:31:22,680 --> 00:31:24,600 Speaker 15: an allergy? Okay, so that the foods are ruled out. 663 00:31:24,880 --> 00:31:26,320 Speaker 15: So it's real detective work. 664 00:31:26,560 --> 00:31:29,680 Speaker 16: When it comes to food allergy. The hardest ones to 665 00:31:29,720 --> 00:31:33,080 Speaker 16: diagnose our spice allergy, and about two percent. 666 00:31:32,800 --> 00:31:33,880 Speaker 15: Of the population will have that. 667 00:31:33,920 --> 00:31:38,000 Speaker 16: And I mean, like you're allergic to garlic powder, onion powder, cinnamon, 668 00:31:38,240 --> 00:31:39,080 Speaker 16: some kind of spice. 669 00:31:39,080 --> 00:31:40,560 Speaker 15: What a horrible hell to live in. 670 00:31:40,800 --> 00:31:44,160 Speaker 16: So we've had to go to like restaurants and be like, Okay, 671 00:31:44,200 --> 00:31:46,520 Speaker 16: what's the ingredient list and like compare the list. 672 00:31:46,560 --> 00:31:48,320 Speaker 15: Was there a different chef on that day. Did you 673 00:31:48,400 --> 00:31:49,000 Speaker 15: run out of. 674 00:31:48,920 --> 00:31:51,120 Speaker 16: A particular oil, did you run out of it? Did 675 00:31:51,120 --> 00:31:53,920 Speaker 16: you swap out of spice? And like interview people, but 676 00:31:54,000 --> 00:31:56,440 Speaker 16: it's like really fun and you're partnering with the patient 677 00:31:56,760 --> 00:31:59,040 Speaker 16: and then you're using your expertise to be like, Okay, 678 00:31:59,040 --> 00:32:01,560 Speaker 16: well what about this. Let's go down this rabbit hole together. 679 00:32:01,680 --> 00:32:03,800 Speaker 16: Let's go down that rabbit hole together. And you kind 680 00:32:03,800 --> 00:32:05,840 Speaker 16: of just like look at things from every angle to 681 00:32:05,920 --> 00:32:08,280 Speaker 16: identify what the trigger is. And then the other thing 682 00:32:08,280 --> 00:32:10,680 Speaker 16: that's really important is like to have access. 683 00:32:11,600 --> 00:32:12,640 Speaker 15: And it's sort of why. 684 00:32:12,480 --> 00:32:15,880 Speaker 16: I got into digital health and tell amedicine because it's 685 00:32:15,920 --> 00:32:18,479 Speaker 16: like I want to know exactly when this reaction happens. 686 00:32:18,520 --> 00:32:21,320 Speaker 16: If it happens again, like call me, FaceTime me, right, 687 00:32:21,480 --> 00:32:22,760 Speaker 16: so we're able to be like, oh my gosh, it 688 00:32:22,800 --> 00:32:23,280 Speaker 16: happened again. 689 00:32:23,320 --> 00:32:23,840 Speaker 15: Where are you? 690 00:32:23,880 --> 00:32:27,320 Speaker 16: Okay, FaceTime me. Let's look around, let's assess the situation. 691 00:32:27,800 --> 00:32:30,200 Speaker 16: And then you're able to be like it's that hanging 692 00:32:30,280 --> 00:32:33,600 Speaker 16: tapestry you have in your bedroom that's like whatever, full 693 00:32:33,640 --> 00:32:36,120 Speaker 16: of dust that's probably triggering your symptoms, Like, oh my gosh, 694 00:32:36,160 --> 00:32:38,040 Speaker 16: I can't believe we didn't realize this because I was 695 00:32:38,080 --> 00:32:40,440 Speaker 16: asking you about carpets, and I wasn't asking about a 696 00:32:40,440 --> 00:32:42,520 Speaker 16: tapestry you had hanging, so stuff like that where you 697 00:32:42,520 --> 00:32:43,920 Speaker 16: get the environmental context. 698 00:32:43,920 --> 00:32:45,240 Speaker 15: You're like there with the patient. 699 00:32:45,440 --> 00:32:47,560 Speaker 14: Did you have a severe allergies? That why you decided 700 00:32:47,600 --> 00:32:48,480 Speaker 14: to become an allergist? 701 00:32:48,840 --> 00:32:50,959 Speaker 16: No, it was most I'll tell you a little bit 702 00:32:50,960 --> 00:32:53,640 Speaker 16: of lifestyle. Right, there's not like huge emergencies. So that's 703 00:32:53,640 --> 00:32:56,040 Speaker 16: one piece, which like I don't care what anyone doctor says, 704 00:32:56,040 --> 00:32:57,600 Speaker 16: like they think about like what their life's going to 705 00:32:57,600 --> 00:32:59,360 Speaker 16: be like, right, So it was that piece where I 706 00:32:59,360 --> 00:33:01,480 Speaker 16: wanted something where I had like a lifestyle where I 707 00:33:01,520 --> 00:33:04,400 Speaker 16: wasn't like in the emergency room or in the operating 708 00:33:04,480 --> 00:33:06,320 Speaker 16: room or in the hospital all the time. And then 709 00:33:06,360 --> 00:33:09,880 Speaker 16: the second was when you're an allergist, you're also an immunologists, right, 710 00:33:10,000 --> 00:33:12,560 Speaker 16: so you really understand the basic science of how the 711 00:33:12,560 --> 00:33:15,320 Speaker 16: immune system works. So we don't really talk about that much, 712 00:33:15,480 --> 00:33:18,080 Speaker 16: but we deal with like really rare disorders what we. 713 00:33:18,080 --> 00:33:19,920 Speaker 15: Call primary immune deficiencies. 714 00:33:20,120 --> 00:33:22,720 Speaker 16: We can understand why certain people are like more prone 715 00:33:22,760 --> 00:33:25,560 Speaker 16: to different types of infections where they may have deficiencies 716 00:33:25,560 --> 00:33:28,200 Speaker 16: in certain immune system cells and things like that. So 717 00:33:28,240 --> 00:33:30,040 Speaker 16: that was super like I like to geek out on 718 00:33:30,080 --> 00:33:33,760 Speaker 16: that stuff. And then I loved like the whole diagnostic dilemma. 719 00:33:33,880 --> 00:33:35,440 Speaker 15: And you also have two little kids. 720 00:33:35,800 --> 00:33:38,320 Speaker 13: What are you feeding your kids in their first year 721 00:33:38,360 --> 00:33:40,600 Speaker 13: of life to make sure that you're strengthening their immune 722 00:33:40,600 --> 00:33:42,640 Speaker 13: system and helping with allergies. 723 00:33:42,160 --> 00:33:44,280 Speaker 16: And stuff anything that's not a choking hazard. And if 724 00:33:44,280 --> 00:33:46,320 Speaker 16: it's a choking hazard, I smush it up. Yeah, And 725 00:33:46,360 --> 00:33:46,880 Speaker 16: I also the. 726 00:33:46,960 --> 00:33:48,960 Speaker 14: Other things off limits? No, what about honey? 727 00:33:49,040 --> 00:33:49,320 Speaker 1: Great? 728 00:33:49,520 --> 00:33:51,720 Speaker 16: I mean unless you're like a concern that, like you're 729 00:33:51,720 --> 00:33:53,760 Speaker 16: feeding them raw honey and then there's a risk of 730 00:33:53,800 --> 00:33:56,160 Speaker 16: like some sort of infection or something like that, or 731 00:33:56,240 --> 00:33:58,200 Speaker 16: you know, you want to be like concerned from that 732 00:33:58,240 --> 00:34:00,600 Speaker 16: perspective as their immune system isn't developed, so you don't 733 00:34:00,600 --> 00:34:03,400 Speaker 16: want to like introduce things that maybe like haven't been 734 00:34:03,440 --> 00:34:06,080 Speaker 16: pasteurized and stuff like that because they're more prone to 735 00:34:06,680 --> 00:34:08,400 Speaker 16: picking up a virus, developing an infection. 736 00:34:08,760 --> 00:34:10,319 Speaker 15: But other than that, so. 737 00:34:10,320 --> 00:34:12,359 Speaker 14: Are you anti raw milk for kids under one? 738 00:34:12,560 --> 00:34:13,760 Speaker 15: There's always a risk benefit? 739 00:34:13,840 --> 00:34:13,960 Speaker 7: Right? 740 00:34:14,000 --> 00:34:18,320 Speaker 16: Some people would say like, well, I appreciate the immune benefit, right, Great, 741 00:34:18,680 --> 00:34:21,920 Speaker 16: also understand that there's a risk of infection, Like you 742 00:34:22,400 --> 00:34:24,920 Speaker 16: make that decision, You make that choice, yeah, right. 743 00:34:24,840 --> 00:34:26,600 Speaker 14: Do stress amplify allergies. 744 00:34:26,719 --> 00:34:28,879 Speaker 16: Oh my gosh, think about what Amazon you're stressed out 745 00:34:28,920 --> 00:34:31,040 Speaker 16: doesn't like your face get all red and you get 746 00:34:31,080 --> 00:34:33,760 Speaker 16: all flush because you have an dilation of your blood vessels, 747 00:34:33,800 --> 00:34:36,760 Speaker 16: opening up of your blood vessels, and then all the blood, sorry, 748 00:34:37,000 --> 00:34:39,400 Speaker 16: all the blood rushes right to your face, to your 749 00:34:39,480 --> 00:34:42,279 Speaker 16: cheeks and everything. We've seen people who break out in 750 00:34:42,400 --> 00:34:45,240 Speaker 16: hives or have like at worsening of their allergy attacks. 751 00:34:45,239 --> 00:34:46,960 Speaker 15: Do you distress? Absolutely? 752 00:34:51,719 --> 00:34:54,719 Speaker 11: Got to admire what you've been able to do, not 753 00:34:54,760 --> 00:34:58,759 Speaker 11: to weaponize, but to organize on these college campuses. 754 00:34:58,440 --> 00:35:01,920 Speaker 10: At Turning Point USA. We've spent thirteen years building the machine, 755 00:35:01,920 --> 00:35:04,759 Speaker 10: and last year we sought payoff. Our grassroots army is 756 00:35:04,800 --> 00:35:07,319 Speaker 10: making a real difference. Help us keep the momentum going. 757 00:35:07,520 --> 00:35:12,720 Speaker 10: Donate today and keep tp USA strong on campuses across America. 758 00:35:12,200 --> 00:35:14,359 Speaker 8: And for a gift of any amount, you'll receive your 759 00:35:14,360 --> 00:35:21,440 Speaker 8: big gove sucks cooler claim yours today. 760 00:35:23,560 --> 00:35:28,839 Speaker 11: And you've got to admire what you've been able to do, 761 00:35:28,920 --> 00:35:33,120 Speaker 11: not to weaponize, but to organize on these college campuses. 762 00:35:32,800 --> 00:35:36,240 Speaker 10: At Turning Point USA. We've spent thirteen years building the machine, 763 00:35:36,280 --> 00:35:39,120 Speaker 10: and last year we sought payoff our grassroots Army is 764 00:35:39,160 --> 00:35:40,120 Speaker 10: making a real difference. 765 00:35:40,320 --> 00:35:41,680 Speaker 4: Help us keep the momentum going. 766 00:35:41,880 --> 00:35:46,719 Speaker 10: Donate today and keep tp USA strong on campuses across America, and. 767 00:35:46,719 --> 00:35:48,959 Speaker 8: For a gift of any amount, you'll receive your big 768 00:35:48,960 --> 00:35:51,040 Speaker 8: gove sucks cooler claim yours today. 769 00:35:54,640 --> 00:35:57,319 Speaker 1: It is getting hot where I am, and if you're 770 00:35:57,440 --> 00:36:00,560 Speaker 1: really anywhere around the country, I'm imagining summer is kicking 771 00:36:00,600 --> 00:36:03,080 Speaker 1: in for you as well, if it hasn't already. I'm 772 00:36:03,120 --> 00:36:05,319 Speaker 1: sure if you're on the East Coast you've experienced the 773 00:36:05,360 --> 00:36:08,560 Speaker 1: heat dome, which of course was caused by man. And 774 00:36:08,600 --> 00:36:12,480 Speaker 1: we of course need to promote climate change possible policy 775 00:36:12,520 --> 00:36:14,920 Speaker 1: that will fix that sort of thing and change the 776 00:36:14,960 --> 00:36:17,239 Speaker 1: weather if you pay more taxes. But holy cow, I 777 00:36:17,280 --> 00:36:19,800 Speaker 1: got off on a rant there. Basically, it's hot outside 778 00:36:19,800 --> 00:36:21,399 Speaker 1: and you're gonna want to have a cooler to keep 779 00:36:21,400 --> 00:36:24,319 Speaker 1: your drinks cold. Go to TPUSA dot com where you 780 00:36:24,440 --> 00:36:26,920 Speaker 1: get that free cooler with a donation of any amount. 781 00:36:26,960 --> 00:36:30,799 Speaker 1: TPUSA dot com Free cooler. If you're inviting me to 782 00:36:30,840 --> 00:36:33,719 Speaker 1: a function and that function doesn't have cold drinks because 783 00:36:33,719 --> 00:36:36,400 Speaker 1: you don't have a cooler, I'm not gonna go. Just 784 00:36:36,600 --> 00:36:39,640 Speaker 1: plain and simple, not gonna go TPUSA dot com. Donation 785 00:36:39,680 --> 00:36:41,719 Speaker 1: of any amount gets you a free cooler. You can 786 00:36:41,760 --> 00:36:44,560 Speaker 1: also email the show anytime you want, night or day, 787 00:36:44,680 --> 00:36:47,439 Speaker 1: rain or shine, although I'm not sure what the weather 788 00:36:47,480 --> 00:36:49,320 Speaker 1: would have to do on whether or not you email 789 00:36:49,400 --> 00:36:52,280 Speaker 1: the show, but TPT at tpusa dot com you can email. 790 00:36:52,280 --> 00:36:54,799 Speaker 1: Whether you agree with every single thing we've ever said 791 00:36:54,800 --> 00:36:57,080 Speaker 1: on the show, or you're wrong, it doesn't matter. You 792 00:36:57,120 --> 00:36:59,360 Speaker 1: can email the show anytime you want. TBT at tpusa 793 00:36:59,560 --> 00:37:01,520 Speaker 1: dot com. We love reading your emails, and we love 794 00:37:01,560 --> 00:37:04,880 Speaker 1: getting sent these videos that so many of you fantastic 795 00:37:04,920 --> 00:37:07,200 Speaker 1: folks send us. It's not always to the emails. Sometimes 796 00:37:07,200 --> 00:37:08,799 Speaker 1: you're commenting. I know the show airs on a bunch 797 00:37:08,840 --> 00:37:12,640 Speaker 1: of different other platforms other than the actual traditional TV 798 00:37:12,760 --> 00:37:15,960 Speaker 1: cable news style. So wherever you're watching, send us a comment, 799 00:37:16,000 --> 00:37:20,120 Speaker 1: a message, an email. TPT at tbosa dot com. Send 800 00:37:20,200 --> 00:37:24,560 Speaker 1: us videos like this, which I thought were hilarious. This 801 00:37:24,760 --> 00:37:28,120 Speaker 1: young woman is just trying to find love. 802 00:37:28,480 --> 00:37:29,000 Speaker 4: Watch this. 803 00:37:29,560 --> 00:37:32,560 Speaker 17: I don't think there's anything harder than finding a liberal boyfriend. 804 00:37:32,680 --> 00:37:38,000 Speaker 18: Oh where is he? 805 00:37:39,239 --> 00:37:39,759 Speaker 4: Where is he? 806 00:37:40,360 --> 00:37:44,600 Speaker 17: Who? Who of my people? Are you guys having liberal boyfriends? 807 00:37:44,640 --> 00:37:48,920 Speaker 17: Who has a liberal boyfriend? Where'd you find them? 808 00:37:49,040 --> 00:37:50,279 Speaker 1: It's such a problem for me. 809 00:37:50,520 --> 00:37:51,279 Speaker 10: It really is. 810 00:37:51,520 --> 00:37:52,560 Speaker 18: It really is a problem. 811 00:37:52,600 --> 00:37:54,080 Speaker 17: And if you don't understand why it's a problem, then 812 00:37:54,120 --> 00:37:58,360 Speaker 17: you just don't get it. Not even a liberal, like 813 00:37:59,280 --> 00:38:03,360 Speaker 17: maybe like a Democrat, like a registered Democrat. I just 814 00:38:03,400 --> 00:38:05,520 Speaker 17: want to find a dude that voted for Kamala Harris. 815 00:38:05,560 --> 00:38:10,000 Speaker 18: I'm really struggling. I know seventy million people voted for her, 816 00:38:10,080 --> 00:38:13,480 Speaker 18: so there's gotten to be one that is attractive and 817 00:38:14,880 --> 00:38:18,279 Speaker 18: my type and in the general vicinity of me. 818 00:38:19,680 --> 00:38:22,279 Speaker 1: This, this poor young woman appears to need advice as 819 00:38:22,320 --> 00:38:25,279 Speaker 1: to where to find a liberal boyfriend. Now, if you 820 00:38:25,320 --> 00:38:27,360 Speaker 1: can go into the comment section or send us an 821 00:38:27,400 --> 00:38:31,560 Speaker 1: email your suggestions. Mine would be go into your local 822 00:38:31,600 --> 00:38:35,839 Speaker 1: Whole Foods, find the vegan isle. Identify the malnourished white 823 00:38:35,920 --> 00:38:38,520 Speaker 1: dude who looks like he can get blown over when 824 00:38:38,560 --> 00:38:43,399 Speaker 1: a child sneezes. That's your man right there. But I'm 825 00:38:43,400 --> 00:38:45,799 Speaker 1: sure there's many other places where I would love to 826 00:38:45,800 --> 00:38:48,120 Speaker 1: hear your creative reasonings as to where you can find 827 00:38:48,360 --> 00:38:53,080 Speaker 1: liberal men. But even then, we are deciding to participate 828 00:38:53,239 --> 00:38:58,080 Speaker 1: in a phrase that I'm not even sure really really exists, 829 00:38:58,440 --> 00:39:03,480 Speaker 1: especially comedically speaking. Does liberal men? Is that an oxymoron? 830 00:39:04,000 --> 00:39:08,879 Speaker 1: Is a man who voted for Kamala Harris really a man, 831 00:39:09,000 --> 00:39:11,920 Speaker 1: I'm not so sure, going onto a tangent on a 832 00:39:11,960 --> 00:39:14,160 Speaker 1: tangent on a tangent. I watched a clip Charlie put 833 00:39:14,160 --> 00:39:16,920 Speaker 1: out the other day about testosterone, and you have to 834 00:39:17,040 --> 00:39:20,560 Speaker 1: wonder if a man has the appropriate amount of testosterone 835 00:39:20,560 --> 00:39:24,040 Speaker 1: in his system. Therefore, is a man he sure as 836 00:39:24,120 --> 00:39:27,160 Speaker 1: heck ain't voting for Kamala Harris. I'll tell you that 837 00:39:27,480 --> 00:39:29,840 Speaker 1: right now, I would I would guessed to venture that 838 00:39:30,120 --> 00:39:32,760 Speaker 1: he wouldn't even be considered a liberal by any stretch 839 00:39:32,800 --> 00:39:37,920 Speaker 1: of the imagination. So that probably probably likely gives you 840 00:39:37,960 --> 00:39:41,320 Speaker 1: some insight as to why this young woman unfortunately can't 841 00:39:41,360 --> 00:39:44,200 Speaker 1: find a liberal man, because one they're very, very very 842 00:39:44,200 --> 00:39:46,880 Speaker 1: difficult to find, and two I'm not even sure they exist. 843 00:39:46,960 --> 00:39:50,000 Speaker 1: They might be like the loch Ness monster Bigfoot. Do 844 00:39:50,239 --> 00:39:53,560 Speaker 1: liberal men and I'm using men as the actual term, 845 00:39:55,040 --> 00:39:58,640 Speaker 1: Do they actually exist? I would venture to guests know, 846 00:39:58,800 --> 00:40:01,680 Speaker 1: which is why this you woman is having such a problem. 847 00:40:02,320 --> 00:40:05,280 Speaker 1: In totally other news, on the backs of the news 848 00:40:05,320 --> 00:40:08,440 Speaker 1: that ICE is putting out major incentives to try and 849 00:40:08,480 --> 00:40:12,960 Speaker 1: recruit ICE agents, this young person has decided he is 850 00:40:13,000 --> 00:40:16,960 Speaker 1: going to apply to be a part of immigration enforcement. 851 00:40:17,200 --> 00:40:19,000 Speaker 6: Watch this what's up, guys. 852 00:40:19,360 --> 00:40:22,239 Speaker 9: I just applied to be an ICE agent and my 853 00:40:22,360 --> 00:40:26,080 Speaker 9: plan is that any information I get on ICE rays, 854 00:40:26,560 --> 00:40:30,040 Speaker 9: I'm going to report back to the Mexican community. And 855 00:40:30,160 --> 00:40:32,640 Speaker 9: you know, I'm just trying to help you guys out. Also, 856 00:40:33,080 --> 00:40:37,400 Speaker 9: every time a Mexican gets deported, I'm sneaking two Mexicans 857 00:40:37,520 --> 00:40:40,719 Speaker 9: back into the United States. I'm just here to help. 858 00:40:41,280 --> 00:40:45,080 Speaker 9: That's my plan. I will update you guys along the way. 859 00:40:45,360 --> 00:40:45,719 Speaker 9: Thank you. 860 00:40:47,360 --> 00:40:50,719 Speaker 1: The bad news is that guy is serious. I thought 861 00:40:50,800 --> 00:40:53,480 Speaker 1: when I first saw this, for sure, this has to 862 00:40:53,520 --> 00:40:56,480 Speaker 1: be sad tired that you have to know that Mexicans 863 00:40:56,520 --> 00:40:59,160 Speaker 1: aren't the only people that are here illegally. I don't 864 00:40:59,200 --> 00:41:02,080 Speaker 1: care why you're from. If you don't share our ideals 865 00:41:02,080 --> 00:41:05,520 Speaker 1: and our cultural values, and especially if you're illegally, get 866 00:41:05,560 --> 00:41:08,279 Speaker 1: the hell out of here. That is the bad news. 867 00:41:08,360 --> 00:41:10,239 Speaker 1: This guy is one hundred percent series. I went and 868 00:41:10,280 --> 00:41:13,160 Speaker 1: found his whole profile scrolled through a little bit. This 869 00:41:13,280 --> 00:41:16,759 Speaker 1: is serious. The good news, as producer Glenn pointed out 870 00:41:16,800 --> 00:41:20,320 Speaker 1: earlier in the show, I think we found that lady's boyfriend. 871 00:41:20,640 --> 00:41:22,680 Speaker 1: I think we might have found him that actually might 872 00:41:22,719 --> 00:41:25,440 Speaker 1: be the guy right there there's your liberal boyfriend. I'm 873 00:41:25,480 --> 00:41:27,440 Speaker 1: not sure you're gonna want him because of the you know, 874 00:41:27,640 --> 00:41:31,600 Speaker 1: mental impairment that is afflicting him. But you do have 875 00:41:31,680 --> 00:41:35,640 Speaker 1: one in this young man again, assuming he identifies as 876 00:41:35,680 --> 00:41:39,000 Speaker 1: a man or doesn't, or I don't know, I don't 877 00:41:39,040 --> 00:41:41,320 Speaker 1: know all the qualifications. I'm not in this dating pool. 878 00:41:41,719 --> 00:41:44,040 Speaker 1: Don't look to me for your advice. But maybe the 879 00:41:44,080 --> 00:41:47,600 Speaker 1: good news is she may have found him there. That's 880 00:41:47,640 --> 00:41:49,360 Speaker 1: gonna do it for us here at turning point tonight, 881 00:41:49,400 --> 00:41:51,839 Speaker 1: we really appreciate you sticking around and tuning in each 882 00:41:51,920 --> 00:41:54,239 Speaker 1: and every night. Charlie Kirk is gonna take us out 883 00:41:54,400 --> 00:41:57,800 Speaker 1: from one of the myriad of his speeches or his show, 884 00:41:57,880 --> 00:42:00,200 Speaker 1: whatever it is we've got queued up. Don't go be 885 00:42:00,280 --> 00:42:02,359 Speaker 1: right back, but we'll see you tomorrow, same time, same place. 886 00:42:02,360 --> 00:42:17,520 Speaker 1: God bless America. 887 00:42:18,000 --> 00:42:20,840 Speaker 10: We did not vote for mass amnesty, and we expect 888 00:42:20,840 --> 00:42:23,960 Speaker 10: our leaders to deliver it and bring back our country 889 00:42:24,000 --> 00:42:27,240 Speaker 10: to a place of citizenship and Americans being put first. 890 00:42:27,560 --> 00:42:29,640 Speaker 4: Number two very important. 891 00:42:30,080 --> 00:42:33,840 Speaker 10: It is more than past time for our elected leaders 892 00:42:34,400 --> 00:42:38,000 Speaker 10: to understand that they're going to have to put the 893 00:42:38,080 --> 00:42:42,360 Speaker 10: economics of the next generation into their calculus. This is 894 00:42:42,400 --> 00:42:44,759 Speaker 10: something that mom, Donnie does, but he does it so sloppily. 895 00:42:45,000 --> 00:42:47,560 Speaker 10: He says, if you're bitter and you don't like the country, 896 00:42:47,640 --> 00:42:48,919 Speaker 10: vote for me, and I'm gonna give you a bunch 897 00:42:48,920 --> 00:42:52,840 Speaker 10: of free stuff everybody. Endless tax cuts just for the wealthy. 898 00:42:52,960 --> 00:42:53,279 Speaker 7: That's fine. 899 00:42:53,320 --> 00:42:55,239 Speaker 4: I like tax cuts. It's good. My radio show does 900 00:42:55,280 --> 00:42:55,600 Speaker 4: really well. 901 00:42:55,600 --> 00:42:58,400 Speaker 10: Podcast does well. But I'll tell you right now, you 902 00:42:58,440 --> 00:43:00,799 Speaker 10: are going to see a massive break down of the 903 00:43:00,880 --> 00:43:01,799 Speaker 10: political order. 904 00:43:02,360 --> 00:43:03,560 Speaker 4: If people don't own. 905 00:43:03,480 --> 00:43:06,920 Speaker 10: Stuff, our politics are about to get a lot more radical. 906 00:43:07,280 --> 00:43:10,239 Speaker 10: But let's go a step further. We need to celebrate, 907 00:43:10,760 --> 00:43:16,200 Speaker 10: embrace platform and sometimes if necessary, subsidize getting married and 908 00:43:16,360 --> 00:43:19,680 Speaker 10: having children. We are not having enough children in this country. 909 00:43:20,640 --> 00:43:24,600 Speaker 10: This is a national crisis. I don't want to hear about. Well, 910 00:43:24,640 --> 00:43:26,600 Speaker 10: you know, racism is a threat to America. It's a 911 00:43:26,640 --> 00:43:30,560 Speaker 10: bunch of horse pucky, oh, environmentalism, climate change. Do you 912 00:43:30,600 --> 00:43:32,920 Speaker 10: know what a threat to our country is? We're not 913 00:43:32,960 --> 00:43:35,759 Speaker 10: having enough babies. Now, my wife and I we are 914 00:43:35,760 --> 00:43:38,480 Speaker 10: doing our part. We have two young children and we'll 915 00:43:38,480 --> 00:43:42,239 Speaker 10: see what else the Lord has as in store. But 916 00:43:42,320 --> 00:43:45,480 Speaker 10: I was fascinated today by talking to this, to our 917 00:43:45,560 --> 00:43:48,719 Speaker 10: amazing young patriots as part of turning point Usa. I 918 00:43:48,920 --> 00:43:51,320 Speaker 10: was so moved and they say, Charlie, I want to 919 00:43:51,360 --> 00:43:53,400 Speaker 10: get married, I want to have kids. It's hard to 920 00:43:53,400 --> 00:43:55,719 Speaker 10: find other people that share my values. By the way, 921 00:43:55,719 --> 00:43:57,719 Speaker 10: if everyone watching online, if you want to find your 922 00:43:57,719 --> 00:43:59,640 Speaker 10: future husband or wife, that's why you should be here 923 00:43:59,640 --> 00:44:02,560 Speaker 10: in Tampa, Florida. Because there's a lot of eligible bachelor 924 00:44:02,600 --> 00:44:07,000 Speaker 10: and bachelorettes here, a lot. But we must prioritize it. 925 00:44:07,600 --> 00:44:10,879 Speaker 10: We should tell our young ladies that if you want 926 00:44:10,920 --> 00:44:13,120 Speaker 10: to go be the CEO of a shoe company, that's fine. 927 00:44:13,560 --> 00:44:15,839 Speaker 10: But you know what's really gonna matter thirty years from now. 928 00:44:16,320 --> 00:44:18,600 Speaker 10: What's going to matter is whether or not you have 929 00:44:18,680 --> 00:44:20,680 Speaker 10: the love of your life and you have decided to 930 00:44:20,840 --> 00:44:23,760 Speaker 10: raise children. It doesn't matter how many trips to Thailand 931 00:44:23,800 --> 00:44:26,240 Speaker 10: you make, doesn't matter how many knights out at the club. 932 00:44:26,640 --> 00:44:29,840 Speaker 10: What matters is what lasts, and what matters is things 933 00:44:29,880 --> 00:44:33,399 Speaker 10: that are hard. What strikes me about this generation, this 934 00:44:33,520 --> 00:44:36,439 Speaker 10: generation is the most conservative generation that we have seen 935 00:44:36,800 --> 00:44:39,839 Speaker 10: in well over fifty years, and the numbers show it. 936 00:44:40,880 --> 00:44:46,960 Speaker 10: This is this is the greatest generational realignment since Woodstock. 937 00:44:48,000 --> 00:44:50,600 Speaker 10: We have never seen a generation move so quickly and 938 00:44:50,680 --> 00:44:55,160 Speaker 10: so fast. And you guys are making all the liberals confuse. 939 00:44:55,320 --> 00:44:57,640 Speaker 10: They thought you were going to be the most liberal generation. 940 00:44:58,320 --> 00:45:00,719 Speaker 10: But part of the reasons why this happened is those 941 00:45:00,760 --> 00:45:02,120 Speaker 10: of you that are here in this audience and the 942 00:45:02,160 --> 00:45:04,719 Speaker 10: millions of people that voted for President Trump and that 943 00:45:04,800 --> 00:45:08,279 Speaker 10: are part of our movement. You were lied to so repeatedly, 944 00:45:09,480 --> 00:45:14,040 Speaker 10: wear the mask, take the vaccine, no prom no graduation, 945 00:45:14,520 --> 00:45:18,560 Speaker 10: school closures. America is a racist country. You experienced the 946 00:45:18,600 --> 00:45:22,400 Speaker 10: worst of the American left, and your politics now is 947 00:45:22,440 --> 00:45:26,239 Speaker 10: a rejection of all of that garbage. No more political correctness. 948 00:45:26,239 --> 00:45:29,919 Speaker 10: And you know what's amazing. Church attendance was going down 949 00:45:30,000 --> 00:45:33,200 Speaker 10: steadily in America the last twenty years. It's gone up 950 00:45:33,239 --> 00:45:36,560 Speaker 10: slightly because this is the most religious generation that we 951 00:45:36,719 --> 00:45:42,680 Speaker 10: have seen in forty years. Do you understand the significance 952 00:45:42,680 --> 00:45:45,040 Speaker 10: of that, Because at its core, what we are fighting 953 00:45:45,120 --> 00:45:48,800 Speaker 10: is a spiritual battle. This is a spiritual sickness throughout 954 00:45:48,840 --> 00:45:51,120 Speaker 10: the West. And if you're here and you don't believe 955 00:45:51,120 --> 00:45:54,920 Speaker 10: in God, okay, fine, I'll pray for you, and I 956 00:45:54,960 --> 00:45:56,920 Speaker 10: hope you find Jesus Christ as your Lord and savior 957 00:45:56,920 --> 00:46:02,880 Speaker 10: because it will change your life. But understand, you should 958 00:46:02,960 --> 00:46:06,279 Speaker 10: even be chairing for a religious revival. You get the 959 00:46:06,320 --> 00:46:11,360 Speaker 10: worst ideas when you have secularism. Men give birth, no borders. 960 00:46:12,280 --> 00:46:15,799 Speaker 10: America is a terrible country. These things are almost all 961 00:46:15,960 --> 00:46:20,840 Speaker 10: outgrowths of secularism. But this generation, you guys want something deeper, 962 00:46:21,120 --> 00:46:23,520 Speaker 10: You want something more. And let me put this in 963 00:46:23,560 --> 00:46:27,839 Speaker 10: existential terms. If we do not deliver, we are going 964 00:46:27,880 --> 00:46:30,560 Speaker 10: to see all of these gains made by Donald Trump 965 00:46:30,960 --> 00:46:33,120 Speaker 10: and many these people will either not vote at all 966 00:46:33,320 --> 00:46:37,240 Speaker 10: or they'll be scooped up by some Democrat opportunists. 967 00:46:38,040 --> 00:46:39,759 Speaker 4: What needs to happen is a couple of things. 968 00:46:39,800 --> 00:46:43,440 Speaker 10: I'm still waiting for it. Where is the national apology 969 00:46:44,200 --> 00:46:46,360 Speaker 10: to you guys, this generation for what happened to you 970 00:46:46,440 --> 00:46:47,040 Speaker 10: during COVID. 971 00:46:47,880 --> 00:46:49,719 Speaker 4: Where is the apology. 972 00:46:49,440 --> 00:46:52,680 Speaker 10: Saying we never should have shut down the schools, We 973 00:46:52,719 --> 00:46:55,440 Speaker 10: never should have taken graduation from you, We never should 974 00:46:55,440 --> 00:46:58,520 Speaker 10: have forced a vaccine on you that doesn't work and 975 00:46:58,680 --> 00:47:00,880 Speaker 10: kicked you out of school if you didn't take it. 976 00:47:02,640 --> 00:47:07,000 Speaker 10: And the lack of the apology shows that we are 977 00:47:07,040 --> 00:47:10,640 Speaker 10: in We are in dare I say, a turning point. 978 00:47:12,880 --> 00:47:15,560 Speaker 10: We are in a place where decisions need to be made, 979 00:47:15,560 --> 00:47:19,200 Speaker 10: a time for choosing, and our leaders in DC better 980 00:47:19,239 --> 00:47:22,320 Speaker 10: start to get the memo. Because there is a movement coming, 981 00:47:22,560 --> 00:47:25,480 Speaker 10: and yes it is the most conservative generation, but that 982 00:47:25,480 --> 00:47:28,520 Speaker 10: doesn't mean they're going to support every single Republican. If 983 00:47:28,560 --> 00:47:31,719 Speaker 10: you're a Republican and you support yay more foreign aid 984 00:47:31,719 --> 00:47:32,919 Speaker 10: to endless countries. 985 00:47:32,600 --> 00:47:33,480 Speaker 4: Gen Z doesn't want that. 986 00:47:33,600 --> 00:47:37,280 Speaker 10: Actually, they want Americans to be put first, not foreigners 987 00:47:37,280 --> 00:47:38,520 Speaker 10: to be put first. 988 00:47:39,920 --> 00:47:41,640 Speaker 4: If you're a Republican. 989 00:47:42,920 --> 00:47:45,280 Speaker 10: And all of a sudden you say, we're just gonna, 990 00:47:45,760 --> 00:47:47,960 Speaker 10: you know, let the market do its job and we 991 00:47:48,040 --> 00:47:50,760 Speaker 10: don't care even though things are incredibly out of reach, 992 00:47:51,080 --> 00:47:52,960 Speaker 10: you're gonna say, you know what, No, I like what 993 00:47:53,040 --> 00:47:55,200 Speaker 10: President Trump is doing at tariffs. I want stuff made 994 00:47:55,239 --> 00:47:59,080 Speaker 10: in America again. You see, there is a new, ascended movement. 995 00:47:59,160 --> 00:48:01,120 Speaker 10: I've done my best to try to warn people what 996 00:48:01,200 --> 00:48:04,000 Speaker 10: is coming. And I think it's exciting. I think it's new, 997 00:48:04,200 --> 00:48:06,680 Speaker 10: I think it's fresh. I think it's authentic because if 998 00:48:06,719 --> 00:48:09,120 Speaker 10: you look at the last fifty years, we've had a 999 00:48:09,120 --> 00:48:11,120 Speaker 10: ton of problems in this country, from our debts and 1000 00:48:11,160 --> 00:48:15,320 Speaker 10: our deficits, to our hyperinflation, to mass migration, and another 1001 00:48:15,360 --> 00:48:18,720 Speaker 10: thing that this generation increasingly believes. They don't necessarily believe 1002 00:48:18,719 --> 00:48:23,400 Speaker 10: that immigration makes your country better. You only get Mom, Donnie, 1003 00:48:23,680 --> 00:48:26,880 Speaker 10: you get elon Omar and Rashida Talib not just because 1004 00:48:26,880 --> 00:48:31,719 Speaker 10: of illegal immigration. It's legal immigration that is also the problem. 1005 00:48:31,880 --> 00:48:34,080 Speaker 10: When you allow a bunch of people into your country 1006 00:48:34,160 --> 00:48:37,080 Speaker 10: legally and they don't share your values, turns out they 1007 00:48:37,080 --> 00:48:40,919 Speaker 10: don't always assimilate. Mom, Donnie and his entire family came 1008 00:48:40,960 --> 00:48:43,880 Speaker 10: here legally. They didn't come across the southern border. No 1009 00:48:43,920 --> 00:48:46,239 Speaker 10: one can tell me that that person is improving the 1010 00:48:46,320 --> 00:48:50,239 Speaker 10: United States of America. He's a self righteous, narcissistic parasite 1011 00:48:50,360 --> 00:48:53,400 Speaker 10: on New York City and should be expelled from politics, 1012 00:48:53,440 --> 00:48:58,400 Speaker 10: but we let him in. Maybe it's time, Maybe it 1013 00:48:58,440 --> 00:49:01,200 Speaker 10: is time for us to recon consider almost all of 1014 00:49:01,239 --> 00:49:04,839 Speaker 10: our political orthodoxies. Do immigrants really make our country better? 1015 00:49:04,880 --> 00:49:07,400 Speaker 10: Some do, Some of our amazing Cuban immigrants here that 1016 00:49:07,440 --> 00:49:10,439 Speaker 10: I see in the audience. You've assimilated, you make America better. 1017 00:49:10,840 --> 00:49:13,960 Speaker 10: But if you come from Somalia and you refuse to 1018 00:49:14,040 --> 00:49:18,560 Speaker 10: learn our language, adopt to our customs and assimilate, I'm sorry. 1019 00:49:18,760 --> 00:49:22,440 Speaker 10: America is closed to the Third World until further notice. 1020 00:49:22,440 --> 00:49:24,560 Speaker 10: We are not a dumping ground for the rest of 1021 00:49:24,600 --> 00:49:25,160 Speaker 10: the planet. 1022 00:49:31,840 --> 00:49:34,839 Speaker 11: Got to admire what you've been able to do, not 1023 00:49:34,880 --> 00:49:38,879 Speaker 11: to weaponize, but to organize on these college campuses. 1024 00:49:38,560 --> 00:49:42,000 Speaker 10: At Turning Point USA. We've spent thirteen years building the machine, 1025 00:49:42,040 --> 00:49:44,880 Speaker 10: and last year we sought payoff. Our grassroots army is 1026 00:49:44,920 --> 00:49:45,840 Speaker 10: making a real difference. 1027 00:49:46,080 --> 00:49:47,439 Speaker 4: Help us keep the momentum going. 1028 00:49:47,640 --> 00:49:52,480 Speaker 10: Donate today and keep TPUSA strong on campuses across America, and. 1029 00:49:52,480 --> 00:49:54,719 Speaker 8: For a gift of any amount, you'll receive your big 1030 00:49:54,719 --> 00:49:56,200 Speaker 8: Gov Sucks Cooler claim. 1031 00:49:56,239 --> 00:49:57,640 Speaker 4: Yours today