1 00:00:01,360 --> 00:00:03,200 Speaker 1: Welcome back to a numbers game with Ryan ger Duski. 2 00:00:03,279 --> 00:00:05,920 Speaker 1: Thank you guys for being here. Will Texas go blue 3 00:00:05,960 --> 00:00:08,880 Speaker 1: in twenty twenty six? That's the question I'm asking today 4 00:00:08,920 --> 00:00:12,000 Speaker 1: in today's episode. But before we talk about that, I 5 00:00:12,000 --> 00:00:14,480 Speaker 1: need to talk a little bit about race and identity 6 00:00:14,600 --> 00:00:15,760 Speaker 1: on the American left. 7 00:00:16,200 --> 00:00:16,400 Speaker 2: Now. 8 00:00:16,440 --> 00:00:18,520 Speaker 1: I know we're a country that seems to never stop 9 00:00:18,560 --> 00:00:21,000 Speaker 1: talking about race and identity. It's more of a lecture 10 00:00:21,079 --> 00:00:24,520 Speaker 1: than a conversation. That's the best thing. The media always says, 11 00:00:24,520 --> 00:00:26,239 Speaker 1: So let's have a conversation, and then they do a 12 00:00:26,280 --> 00:00:28,760 Speaker 1: one sided argument. They yell at you the entire time. 13 00:00:29,120 --> 00:00:34,400 Speaker 1: But some that's going on among attention seeking progressives who 14 00:00:34,440 --> 00:00:39,360 Speaker 1: are both influencers and politicians, where they're talking about white 15 00:00:39,440 --> 00:00:44,360 Speaker 1: Americans in a dehumanizing way. They're othering white Americans, making 16 00:00:44,400 --> 00:00:47,839 Speaker 1: sure their followers understand that their time, that white Americans 17 00:00:47,880 --> 00:00:51,240 Speaker 1: time has come and gone, and that whites are oppressors 18 00:00:51,280 --> 00:00:53,480 Speaker 1: who must suffer for the sins of their fathers. They're 19 00:00:53,520 --> 00:00:56,400 Speaker 1: doing all of this again. First, let me go to 20 00:00:56,480 --> 00:00:59,120 Speaker 1: a clip that happened last year, but it's been circling 21 00:00:59,120 --> 00:01:01,440 Speaker 1: over social media actually over the weekend. This is from 22 00:01:01,440 --> 00:01:04,800 Speaker 1: the Democrat minority leader in the Texas State House of 23 00:01:04,880 --> 00:01:08,319 Speaker 1: Representatives named Jean Wu. He's an immigrant from China, liked 24 00:01:08,360 --> 00:01:11,120 Speaker 1: it to the state Texas State Representatives to play clip one. 25 00:01:12,360 --> 00:01:15,240 Speaker 3: I think you've hit exactly the right points. And it's 26 00:01:15,280 --> 00:01:17,360 Speaker 3: not just Latinos, it's not just Asians, it's not just 27 00:01:17,400 --> 00:01:20,280 Speaker 3: African Americans, it's everybody. 28 00:01:20,360 --> 00:01:20,560 Speaker 2: Right. 29 00:01:20,959 --> 00:01:24,000 Speaker 3: We are country, and the forces that be, the powers 30 00:01:24,000 --> 00:01:29,240 Speaker 3: that be, have spent tremendous time, effort, and money to 31 00:01:29,280 --> 00:01:32,880 Speaker 3: make sure that those groups are never united, that they 32 00:01:33,000 --> 00:01:35,360 Speaker 3: always see each other as enemies and as. 33 00:01:35,280 --> 00:01:43,320 Speaker 4: Competitors, without ever realizing that they share one thing in common, 34 00:01:44,040 --> 00:01:48,720 Speaker 4: that their oppressors all are the same. Right, the oppression 35 00:01:48,760 --> 00:01:49,840 Speaker 4: comes from one place. 36 00:01:49,920 --> 00:01:54,560 Speaker 3: And I always tell people, the day it's the Latino, African, American, 37 00:01:54,880 --> 00:01:59,760 Speaker 3: Asian and other communities realize that they are that they 38 00:02:00,080 --> 00:02:02,720 Speaker 3: are the same oppressor, is the day we start winning. 39 00:02:03,320 --> 00:02:05,800 Speaker 3: Because we are the majority in this country. Now we 40 00:02:07,040 --> 00:02:09,360 Speaker 3: have the ability to take over this country and to 41 00:02:09,520 --> 00:02:12,600 Speaker 3: do what is needed for everyone and to make things fair. 42 00:02:13,480 --> 00:02:16,120 Speaker 3: But the thumb is our communities are divided. 43 00:02:15,960 --> 00:02:19,079 Speaker 1: So we spoke to the Houston Chronicle over the weekend 44 00:02:19,200 --> 00:02:21,720 Speaker 1: and he gave some context, and he said, of course, 45 00:02:21,720 --> 00:02:25,400 Speaker 1: he wasn't speaking about white people, even though very clear 46 00:02:25,520 --> 00:02:28,160 Speaker 1: dog whistle that you could hear from a million miles away. 47 00:02:28,560 --> 00:02:31,960 Speaker 1: Now he was talking about Republicans being the pressers. Well, 48 00:02:32,560 --> 00:02:35,280 Speaker 1: if that's true, why didn't he mentioned working class whites 49 00:02:35,320 --> 00:02:38,320 Speaker 1: in West Texas who earn a lot less than wealthy 50 00:02:38,360 --> 00:02:40,480 Speaker 1: Asians in the suburbs of Dallas and Austin, who have 51 00:02:40,560 --> 00:02:43,919 Speaker 1: shorter life expectancy and who work very tough jobs in 52 00:02:43,960 --> 00:02:46,880 Speaker 1: the Texas heat. It's so obvious on his face he's 53 00:02:46,919 --> 00:02:49,680 Speaker 1: not talking about Republicans. He's talking about white people, no 54 00:02:49,680 --> 00:02:52,120 Speaker 1: matter what he says, because there are loads of minorities 55 00:02:52,160 --> 00:02:56,440 Speaker 1: in Texas that but Republican South Texas is very supportive 56 00:02:56,440 --> 00:02:59,040 Speaker 1: of Donald Trump, and you've brought into the whole nation. 57 00:02:59,160 --> 00:03:03,400 Speaker 1: There are there are groups everywhere except for Black Americans, 58 00:03:03,400 --> 00:03:07,000 Speaker 1: that support Republican, that vote majority Republican. So he's not 59 00:03:07,160 --> 00:03:10,359 Speaker 1: talking about minority talking about minorities being oppressed by Republicans 60 00:03:10,400 --> 00:03:14,360 Speaker 1: because minorities are voting for Republicans in large pockets of 61 00:03:14,400 --> 00:03:18,200 Speaker 1: this country. Now he's talking about white people. And the 62 00:03:18,280 --> 00:03:21,640 Speaker 1: Houston Chronicle, by the way, bent over backwards. I was 63 00:03:21,680 --> 00:03:25,800 Speaker 1: in a Twitter spat with the editor there they were talking, 64 00:03:25,960 --> 00:03:28,280 Speaker 1: bending over backwards, talking about how he you know, the 65 00:03:28,720 --> 00:03:32,360 Speaker 1: criticism wasn't fair because he was really not talking about 66 00:03:32,400 --> 00:03:35,920 Speaker 1: white people. He wasn't trying to hint hint, wink, wink, 67 00:03:36,320 --> 00:03:39,640 Speaker 1: dog whistle about white genocide and taking over the country. 68 00:03:39,680 --> 00:03:41,880 Speaker 1: They didn't They really didn't have a problem with that 69 00:03:41,960 --> 00:03:43,880 Speaker 1: as much as they should have, and they should have 70 00:03:43,880 --> 00:03:46,400 Speaker 1: set there and held his feet to the fire. Now 71 00:03:46,760 --> 00:03:49,240 Speaker 1: I know, we didn't say that white people were the oppressors. 72 00:03:49,280 --> 00:03:51,960 Speaker 1: He's leaving up to the imagination of every person who 73 00:03:52,000 --> 00:03:54,120 Speaker 1: listens to that video, including his supporters. He was on 74 00:03:54,160 --> 00:03:57,120 Speaker 1: the podcast, by the way of a former illegal immigrant 75 00:03:57,160 --> 00:04:00,200 Speaker 1: whose story frankly never made any sense to me because 76 00:04:00,240 --> 00:04:01,480 Speaker 1: I think there were big holes in it. But he 77 00:04:01,560 --> 00:04:04,360 Speaker 1: was on a conversation with immigrant who's made identity and 78 00:04:04,440 --> 00:04:08,760 Speaker 1: race his entire personality and talked about at every given moment. 79 00:04:08,800 --> 00:04:11,120 Speaker 1: So whose audience are you talking to? What are you 80 00:04:11,240 --> 00:04:15,680 Speaker 1: talking about? The Houston Chronicles said it couldn't have been 81 00:04:15,720 --> 00:04:19,080 Speaker 1: talking about white people because he didn't name them, as 82 00:04:19,120 --> 00:04:23,120 Speaker 1: if The only standard we have for judging politicians on 83 00:04:23,160 --> 00:04:25,960 Speaker 1: what they say when it comes to inflammatory speech is 84 00:04:26,200 --> 00:04:29,680 Speaker 1: explicitly what they say. President Trump has been accused of 85 00:04:29,760 --> 00:04:33,760 Speaker 1: racism every second for the last ten years for things 86 00:04:33,760 --> 00:04:37,120 Speaker 1: he did not say, because that is what the left heard. 87 00:04:37,520 --> 00:04:40,200 Speaker 1: And yet this man who's talking about minorities taking over 88 00:04:40,240 --> 00:04:44,440 Speaker 1: the country in a very explicit way, we're supposed to 89 00:04:44,440 --> 00:04:47,600 Speaker 1: hear something completely different. Now, let's go to a progressive 90 00:04:47,640 --> 00:04:51,000 Speaker 1: talking head was shat Ali. He late last year told 91 00:04:51,000 --> 00:04:54,400 Speaker 1: white people that they that their nation was over, and 92 00:04:54,480 --> 00:04:57,200 Speaker 1: that they and that, by the way, their nation is 93 00:04:57,240 --> 00:04:59,479 Speaker 1: over because they've been too generous to immigrants. That's what 94 00:04:59,520 --> 00:05:01,880 Speaker 1: he says. They're and says and then the entire history 95 00:05:01,920 --> 00:05:03,559 Speaker 1: of Western civilization sucks. 96 00:05:03,600 --> 00:05:06,359 Speaker 2: Let's go to a club too. You have lost, you lost. 97 00:05:07,000 --> 00:05:08,960 Speaker 2: The mistake that you made is you let us in 98 00:05:09,040 --> 00:05:10,920 Speaker 2: the first place. That's the thing with brown people. And 99 00:05:10,960 --> 00:05:12,640 Speaker 2: I'm going to say this is a brown person. There's 100 00:05:12,680 --> 00:05:15,800 Speaker 2: a lot of us, like a lot. There's like one 101 00:05:15,800 --> 00:05:18,320 Speaker 2: point two billion in India that's born than two hundred 102 00:05:18,360 --> 00:05:20,120 Speaker 2: million in Pakistan. There's like one hundred and seventy million 103 00:05:20,120 --> 00:05:23,080 Speaker 2: in vagualadation. Those are just the people there. I'm even 104 00:05:23,080 --> 00:05:25,800 Speaker 2: talking about the folks who are expats or immigrants. There's 105 00:05:25,800 --> 00:05:29,200 Speaker 2: a bunch of us, and we breed. We're a breeding people. 106 00:05:29,560 --> 00:05:31,240 Speaker 2: And the problem is is you let us in an 107 00:05:31,360 --> 00:05:32,720 Speaker 2: nineteen sixty five, there was a few, There were a 108 00:05:32,720 --> 00:05:34,040 Speaker 2: few of us before. But once you let one of 109 00:05:34,120 --> 00:05:37,360 Speaker 2: us in, you know what happens with brown folks. Our 110 00:05:37,360 --> 00:05:40,400 Speaker 2: grandmother comes, our grandfather comes, our uncle comes, our aunt comes, 111 00:05:40,440 --> 00:05:42,920 Speaker 2: our cousin comes, our second cousin comes, our third cousin comes. 112 00:05:43,080 --> 00:05:44,480 Speaker 5: Then we have kids, a bunch of kids. 113 00:05:44,600 --> 00:05:45,360 Speaker 1: And then guess what. 114 00:05:45,680 --> 00:05:48,000 Speaker 2: Some white women, you know, the Western civilization women, the 115 00:05:48,000 --> 00:05:50,240 Speaker 2: pure women, the American women, quot unquote, the Ross Belt women, 116 00:05:50,279 --> 00:05:52,360 Speaker 2: the real women. They like some of us brown folks, 117 00:05:52,440 --> 00:05:53,239 Speaker 2: we don't take them. 118 00:05:53,440 --> 00:05:54,159 Speaker 5: They come to us. 119 00:05:54,320 --> 00:05:57,080 Speaker 2: So we're embedded. We are everywhere. We are everywhere I 120 00:05:57,080 --> 00:05:58,799 Speaker 2: have traveled this country. I almost speak as a brown person. 121 00:05:58,960 --> 00:06:01,680 Speaker 2: Brown people are every There will be a Patel motel, 122 00:06:01,960 --> 00:06:04,200 Speaker 2: or there will be a Daisy restaurant everywhere. I want 123 00:06:04,200 --> 00:06:07,400 Speaker 2: you to realize this. You have lost. Your story is 124 00:06:07,400 --> 00:06:11,279 Speaker 2: a shitty story, filled with misery. It's filled with bland chicken. 125 00:06:11,480 --> 00:06:14,839 Speaker 2: It's filled with terrible, terrible, dry assed meat. Your music 126 00:06:14,920 --> 00:06:19,280 Speaker 2: sucks all, your culture sucks nobody. That's why the kids 127 00:06:19,440 --> 00:06:20,960 Speaker 2: like listening to black people and their music. That's why 128 00:06:20,960 --> 00:06:25,000 Speaker 2: the kids love Latinos. Your parties suck because they're monochromatic. 129 00:06:25,240 --> 00:06:27,680 Speaker 2: Our parties have better food, better music, better looking women. 130 00:06:28,960 --> 00:06:34,160 Speaker 1: Right, It's the reason why constantly brown people like Bajade's 131 00:06:34,200 --> 00:06:37,960 Speaker 1: family decided to move to a majority white country. Because 132 00:06:38,000 --> 00:06:40,839 Speaker 1: it's so terrible, because our narratives are so bad, and 133 00:06:40,880 --> 00:06:43,080 Speaker 1: because our history is so bad. For those of you 134 00:06:43,120 --> 00:06:44,960 Speaker 1: who don't know who he is, once, you're better off. 135 00:06:45,040 --> 00:06:48,880 Speaker 1: Before listenings podcast Bajada all these parents immigrated from Pakistan 136 00:06:49,279 --> 00:06:52,800 Speaker 1: in the nineteen eighties, and he says he's been scarred 137 00:06:52,839 --> 00:06:55,839 Speaker 1: by America because his parents were arrested and convicted of 138 00:06:55,839 --> 00:06:58,760 Speaker 1: over thirty counts of conspiracy, male fraud, wire fraud, and 139 00:06:58,800 --> 00:07:02,640 Speaker 1: money laundering. While A Lei has repeatedly said in his 140 00:07:02,680 --> 00:07:05,840 Speaker 1: book and other events that anti Muslim sentiments after nine 141 00:07:05,839 --> 00:07:09,200 Speaker 1: to eleven were the reasons for the convictions his parents 142 00:07:09,200 --> 00:07:12,640 Speaker 1: pled guilty along with two white guys. Two white guys 143 00:07:12,640 --> 00:07:17,120 Speaker 1: were also co conspirators who were pled guilty, and maybe 144 00:07:17,200 --> 00:07:21,120 Speaker 1: European surnames. So I don't know how anti Islamic feelings 145 00:07:21,160 --> 00:07:24,720 Speaker 1: after nine to eleven would possibly be the reasoning that 146 00:07:24,760 --> 00:07:27,760 Speaker 1: these two white guys also face jail time and why 147 00:07:27,760 --> 00:07:32,400 Speaker 1: they pled guilty. The victimhood is cultural currency, and this 148 00:07:32,520 --> 00:07:35,000 Speaker 1: man knows that. That's how he plays into the white 149 00:07:35,000 --> 00:07:37,560 Speaker 1: guilt for his white liberal audience and his other audience 150 00:07:37,560 --> 00:07:40,200 Speaker 1: and trying to embold them. And he promotes narratives that 151 00:07:40,280 --> 00:07:43,400 Speaker 1: aren't true, but they feel good or they make someone 152 00:07:43,480 --> 00:07:47,320 Speaker 1: feel bad. That's that's the greatest irony. I mean, his 153 00:07:47,440 --> 00:07:49,600 Speaker 1: numbers as statistics that they put out there on birth 154 00:07:49,680 --> 00:07:52,960 Speaker 1: rates are completely incorrect. His statistics on what kind of 155 00:07:53,000 --> 00:07:56,600 Speaker 1: preferred music as popular is incorrect. You know that's but 156 00:07:56,640 --> 00:07:59,280 Speaker 1: that doesn't matter. The numbers don't matter. The facts don't matter. 157 00:07:59,400 --> 00:08:01,480 Speaker 1: The narrative matters. And if you want to see a 158 00:08:01,520 --> 00:08:04,560 Speaker 1: hilarious clip of him, watch the I mentioned this episode 159 00:08:04,560 --> 00:08:06,800 Speaker 1: before because it's just so good than Mary Trump podcast. 160 00:08:06,880 --> 00:08:09,280 Speaker 1: When Donald Trump wins the presidency and he thinks that 161 00:08:09,520 --> 00:08:11,480 Speaker 1: Trump's going to, you know, Kamala Harrison was going to 162 00:08:11,480 --> 00:08:14,400 Speaker 1: sweep this election. It's very very funny. But of course 163 00:08:14,480 --> 00:08:16,800 Speaker 1: he also says that that ran was just simply taken 164 00:08:16,800 --> 00:08:19,480 Speaker 1: out of context. He wasn't sitting there and saying that 165 00:08:19,520 --> 00:08:22,960 Speaker 1: the country is over. He wasn't trying to radicalize young 166 00:08:23,000 --> 00:08:26,440 Speaker 1: white people, and he certainly doesn't understand why young white 167 00:08:26,440 --> 00:08:29,440 Speaker 1: men are so far right wing than they used to be. 168 00:08:29,560 --> 00:08:32,679 Speaker 1: It couldn't possibly be because of people like him, No, 169 00:08:32,840 --> 00:08:36,360 Speaker 1: it must be someone else, because everything, everything is taken 170 00:08:36,360 --> 00:08:39,679 Speaker 1: out of context. Then there's also a congressman, Representative J. 171 00:08:39,840 --> 00:08:43,720 Speaker 1: Powell from Washington State, who has some very interesting opinions 172 00:08:43,760 --> 00:08:45,680 Speaker 1: about American history. Play clip three. 173 00:08:46,800 --> 00:08:51,520 Speaker 6: The majority of Americans across the country, regardless of political party, 174 00:08:51,880 --> 00:08:55,520 Speaker 6: know that immigrants from all over the world Somalia, India, 175 00:08:55,559 --> 00:08:59,959 Speaker 6: wherever they're from, Latin America, Africa, that immigrants have built 176 00:09:00,120 --> 00:09:03,560 Speaker 6: to this country and make this country what it is today. 177 00:09:05,080 --> 00:09:09,120 Speaker 1: Just because an immigrant has a fraudulent daycare system in 178 00:09:09,160 --> 00:09:12,760 Speaker 1: Minnesota does not mean that they built this country. Some 179 00:09:12,960 --> 00:09:17,840 Speaker 1: immigrants did build this country. Some immigrants were very very prosperous, 180 00:09:17,840 --> 00:09:21,360 Speaker 1: Some immigrants built fabulous businesses, and some immigrants children built 181 00:09:21,360 --> 00:09:25,040 Speaker 1: fabulous built businesses. That doesn't mean every class of immigrant 182 00:09:25,080 --> 00:09:27,120 Speaker 1: has That doesn't mean that every group of immigrants since 183 00:09:27,160 --> 00:09:31,280 Speaker 1: nineteen sixty five has That doesn't mean that America could 184 00:09:31,320 --> 00:09:35,400 Speaker 1: be easily replicated by the different people on different countries. 185 00:09:35,640 --> 00:09:38,520 Speaker 1: We don't have magic dirt. No, the American people built 186 00:09:38,520 --> 00:09:42,160 Speaker 1: this country. The American people, whose majority of which as 187 00:09:42,480 --> 00:09:45,200 Speaker 1: recently as twenty ten date back to the founding of 188 00:09:45,200 --> 00:09:49,040 Speaker 1: this country. At least one ancestor built this country. Jpal 189 00:09:49,640 --> 00:09:52,400 Speaker 1: also said that once Democrats get in charge, she's going 190 00:09:52,480 --> 00:09:54,800 Speaker 1: to sit there and push to abolish ice and border patrol. 191 00:09:55,440 --> 00:09:57,680 Speaker 1: Come one, come all to this Halloween ball. This is 192 00:09:57,760 --> 00:10:02,240 Speaker 1: what Jaypow wantsngress on j Powell, and of course it's nothing. 193 00:10:02,440 --> 00:10:04,920 Speaker 1: What she says, by the way, is nothing compared to 194 00:10:04,920 --> 00:10:08,360 Speaker 1: what Philadelphia DA Larry Krasner said about what they want 195 00:10:08,400 --> 00:10:10,560 Speaker 1: to do with ICE agents. Play clip four. 196 00:10:12,360 --> 00:10:16,240 Speaker 7: This is a small bunch of wanna be Nazis, that's 197 00:10:16,240 --> 00:10:19,640 Speaker 7: what they are. In a country of three hundred and 198 00:10:19,679 --> 00:10:24,240 Speaker 7: fifty million, we outnumber them. If we have to hunt 199 00:10:24,320 --> 00:10:29,199 Speaker 7: you down the way they hunted down Nazis for decades, 200 00:10:30,320 --> 00:10:34,679 Speaker 7: we will find your identities, we will find you, we 201 00:10:34,720 --> 00:10:36,320 Speaker 7: will achieve justice. 202 00:10:38,080 --> 00:10:43,400 Speaker 1: This is going to be the left's push that people 203 00:10:43,440 --> 00:10:46,120 Speaker 1: who worked for Trump, and even if they were just 204 00:10:46,240 --> 00:10:48,160 Speaker 1: ICE agents, even if they just work for the Department 205 00:10:48,160 --> 00:10:51,040 Speaker 1: of Home Security, they should be jailed. They are going 206 00:10:51,040 --> 00:10:54,559 Speaker 1: to January sixth, everybody. That's what their goal is. This 207 00:10:54,600 --> 00:11:00,680 Speaker 1: is violent, violent rhetoric. They view these people as others 208 00:11:00,720 --> 00:11:03,520 Speaker 1: and as some of the worst people in human history. 209 00:11:04,080 --> 00:11:05,880 Speaker 1: And then there's Bacari Sellers, who I used to be 210 00:11:05,920 --> 00:11:08,400 Speaker 1: on CNN with a few times and who said that 211 00:11:08,520 --> 00:11:10,640 Speaker 1: he liked me. I don't remember when he said that 212 00:11:10,679 --> 00:11:12,400 Speaker 1: on Twitter. I don't remember him ever coming to my 213 00:11:12,400 --> 00:11:16,680 Speaker 1: defense when Abby Phillips was attacking me relentlessly. But he's 214 00:11:16,760 --> 00:11:19,040 Speaker 1: a friend of former Vice President Kamala Harris. He was 215 00:11:19,080 --> 00:11:22,200 Speaker 1: a you know, a kind of an advisor to the 216 00:11:22,240 --> 00:11:25,280 Speaker 1: Vice President Kamala Harris. And he said something very interesting 217 00:11:25,360 --> 00:11:28,240 Speaker 1: on Don Lemon's podcast. He said that the country needs 218 00:11:28,240 --> 00:11:31,199 Speaker 1: to be quote fumigated and from maga and it needs 219 00:11:31,240 --> 00:11:33,360 Speaker 1: to be surgically removed from the country. 220 00:11:33,640 --> 00:11:38,520 Speaker 8: Play Cliff five. You know, Joe Biden was somewhat of 221 00:11:38,520 --> 00:11:40,800 Speaker 8: a bridge. He was supposed to be a bridge or 222 00:11:40,800 --> 00:11:46,280 Speaker 8: a palette cleanser, or somebody who morally and ethically was 223 00:11:46,440 --> 00:11:49,679 Speaker 8: antithetical to who Donald Trump was. You know, Uncle Joe 224 00:11:49,960 --> 00:11:53,600 Speaker 8: was the nice guy, older white guy comes in and 225 00:11:53,640 --> 00:11:57,480 Speaker 8: you want to eat ice cream with him? Right, Well, 226 00:11:57,600 --> 00:12:00,960 Speaker 8: I think what that episode in our entry's history showed 227 00:12:01,000 --> 00:12:03,520 Speaker 8: us is that we really need some fumigation, right. 228 00:12:03,960 --> 00:12:06,960 Speaker 1: We need an exorcism, for lack of a better term. 229 00:12:07,040 --> 00:12:09,960 Speaker 8: We need a more aggressive approach to go in and 230 00:12:10,000 --> 00:12:13,200 Speaker 8: surgically remove the cancer that is the Donald Trump and 231 00:12:13,280 --> 00:12:14,200 Speaker 8: Baga movement. 232 00:12:15,320 --> 00:12:18,319 Speaker 1: This is not an accident. I want everyone to realize. 233 00:12:18,320 --> 00:12:20,480 Speaker 1: I played a lot of clips, more than I usually 234 00:12:20,520 --> 00:12:24,319 Speaker 1: never play clips. But this is not an accident. Any 235 00:12:24,360 --> 00:12:27,160 Speaker 1: of this language is not an accent. Of course, when 236 00:12:27,160 --> 00:12:28,840 Speaker 1: they're pressed, they're going to sit there and say it's 237 00:12:28,840 --> 00:12:31,599 Speaker 1: taking out of context. You know, don't worry about what 238 00:12:31,720 --> 00:12:33,959 Speaker 1: your eyes or ears tell you. This is not true. 239 00:12:34,000 --> 00:12:36,160 Speaker 1: What you're hearing is not true. We're all just good 240 00:12:36,160 --> 00:12:39,320 Speaker 1: and we're playing around and it's it's light and it's interesting, 241 00:12:39,360 --> 00:12:42,760 Speaker 1: but it's not really dangerous speech. And then their friends 242 00:12:42,760 --> 00:12:44,560 Speaker 1: in the mainstream media will have them on the air, 243 00:12:44,640 --> 00:12:47,600 Speaker 1: I'm sure, Butkari will be back on CNN much sooner 244 00:12:47,600 --> 00:12:49,480 Speaker 1: than I will be, and he will sit there and 245 00:12:49,520 --> 00:12:51,760 Speaker 1: you know, just just play it off as if it's nothing. 246 00:12:51,800 --> 00:12:55,000 Speaker 1: No only even question on it. See Democrats and Progresses, 247 00:12:55,040 --> 00:12:56,760 Speaker 1: for the most part, came out of the twenty twenty 248 00:12:56,760 --> 00:12:59,719 Speaker 1: four election cycle and said, wow, we really got a 249 00:12:59,720 --> 00:13:02,480 Speaker 1: little wild out there for a while. Maybe we shouldn't 250 00:13:02,480 --> 00:13:05,000 Speaker 1: have said all the things we said out race and identity. 251 00:13:05,720 --> 00:13:09,360 Speaker 1: But it's it's clear this all these all these clips 252 00:13:09,360 --> 00:13:12,720 Speaker 1: were happened since the election. They meant every word of it. 253 00:13:13,160 --> 00:13:15,360 Speaker 1: They meant everything they said during the height of the 254 00:13:15,360 --> 00:13:19,079 Speaker 1: twenty twenty George Floyd riots. They want to erase borders, 255 00:13:19,080 --> 00:13:21,760 Speaker 1: they want to rewrite history. They want to otherwise other 256 00:13:22,040 --> 00:13:25,080 Speaker 1: otherwise white Americans, including Jews. Mind you, I know a 257 00:13:25,120 --> 00:13:28,440 Speaker 1: lot of Jews, liberal Jews, not conservatives, but liberal Jews 258 00:13:28,600 --> 00:13:30,280 Speaker 1: who sit there and say, well, I'm not really white, 259 00:13:30,280 --> 00:13:31,800 Speaker 1: I'm Jewish, as if that's going to be a get 260 00:13:31,800 --> 00:13:33,719 Speaker 1: at a jail free card. No, you are lumped right 261 00:13:33,760 --> 00:13:36,720 Speaker 1: into the camp of white people, just like Persians are 262 00:13:36,720 --> 00:13:39,360 Speaker 1: in a lot of places, just like Armenians are. We're 263 00:13:39,400 --> 00:13:43,400 Speaker 1: all in the same white whiteness camp. I guess together. 264 00:13:43,559 --> 00:13:47,120 Speaker 1: Once they come into power, they want to put in laws. 265 00:13:47,679 --> 00:13:51,520 Speaker 1: They want to put forward laws that are discriminatory, racially 266 00:13:51,559 --> 00:13:56,439 Speaker 1: discriminatory against whites. And they're not they're not hiding it. 267 00:13:56,480 --> 00:13:59,280 Speaker 1: Once they get into power, it's just going slightly unnoticed. 268 00:13:59,320 --> 00:14:02,319 Speaker 1: In New York City, Mayor Mandani said during the campaign 269 00:14:02,320 --> 00:14:06,440 Speaker 1: tro he wanted a property tax system that punished whites 270 00:14:06,520 --> 00:14:09,600 Speaker 1: more than non whites. Now what he was saying, I 271 00:14:09,640 --> 00:14:11,960 Speaker 1: know that that was the headline that got news. What 272 00:14:12,040 --> 00:14:14,920 Speaker 1: he was saying on how propt New York, New Yor 273 00:14:14,960 --> 00:14:19,120 Speaker 1: City property tax is conducted currently actually made a tiny 274 00:14:19,120 --> 00:14:21,760 Speaker 1: bit of sense. Older homes or tax at a lower 275 00:14:21,800 --> 00:14:24,880 Speaker 1: price than newer homes are which punt which gives tax 276 00:14:24,920 --> 00:14:27,640 Speaker 1: breaks like build de Blasio. But that's not how he 277 00:14:27,640 --> 00:14:31,240 Speaker 1: framed it. That's that's not the conversation he wanted to 278 00:14:31,280 --> 00:14:35,119 Speaker 1: have about people, people and wealthy people buying old brownstones 279 00:14:35,200 --> 00:14:38,000 Speaker 1: versus you know, working class, middle class people buying newer 280 00:14:38,040 --> 00:14:42,200 Speaker 1: condos or apartments or houses. No, he talked about it 281 00:14:42,240 --> 00:14:46,800 Speaker 1: in the racial context because that was what he cared about. 282 00:14:47,200 --> 00:14:52,120 Speaker 1: Racial justice was economic justice to him. In Virginia Democrats 283 00:14:52,160 --> 00:14:55,720 Speaker 1: that put forward legislation that discriminates against white men for 284 00:14:55,840 --> 00:14:59,920 Speaker 1: government contracts. The fever dream with a post Floyd radicalis 285 00:15:00,480 --> 00:15:04,240 Speaker 1: hasn't gotten away. It's just gotten a lot quieter. You're 286 00:15:04,280 --> 00:15:07,800 Speaker 1: just not hearing it so often. But every once in 287 00:15:07,840 --> 00:15:10,520 Speaker 1: a while they slip up and they tell you, and 288 00:15:10,560 --> 00:15:13,920 Speaker 1: then when they get into power, they show you and 289 00:15:14,000 --> 00:15:16,400 Speaker 1: while white continued to become a smaller percentage of this 290 00:15:16,440 --> 00:15:19,120 Speaker 1: country because we've had birth rates below replacement level since 291 00:15:19,120 --> 00:15:22,520 Speaker 1: the nineteen seventies, they will continue to be an economic powerhouse. 292 00:15:23,080 --> 00:15:26,440 Speaker 1: What happens in many countries when there's an economic dominant 293 00:15:26,440 --> 00:15:30,600 Speaker 1: minority is that they're preyed upon, that they're blamed, they're 294 00:15:30,640 --> 00:15:35,200 Speaker 1: discriminated against, And the left is setting up this language today. 295 00:15:35,880 --> 00:15:37,720 Speaker 1: I know that it's not where people expect me to 296 00:15:37,760 --> 00:15:39,600 Speaker 1: go to have this podcast. I'm not a doom and 297 00:15:39,640 --> 00:15:42,320 Speaker 1: gloom person. I'm not a fire and brimstone person. But 298 00:15:43,800 --> 00:15:45,840 Speaker 1: jing Wu, I guess set me off a little bit 299 00:15:46,440 --> 00:15:51,680 Speaker 1: because it's so clearly obvious. And the fact that the 300 00:15:51,720 --> 00:15:55,360 Speaker 1: Houston Chronicle sat there and said, well, let's really talk 301 00:15:55,360 --> 00:15:58,280 Speaker 1: about how Ted Cruz reacted to it, rather than what 302 00:15:58,440 --> 00:16:03,320 Speaker 1: ging Wu actually said shows how pathetic the media is. 303 00:16:03,880 --> 00:16:07,080 Speaker 1: The fact that Bacari Sellers is back on CNN any 304 00:16:07,160 --> 00:16:08,640 Speaker 1: day of the week that he wants to be the 305 00:16:08,680 --> 00:16:11,640 Speaker 1: fact that half of these people are accepted in play company. 306 00:16:12,400 --> 00:16:16,280 Speaker 1: Anti white language is going to be filed by anti 307 00:16:16,280 --> 00:16:20,280 Speaker 1: white legislation. Take it to the bank. It already is 308 00:16:20,560 --> 00:16:23,800 Speaker 1: in New York City in Virginia and anywhere else. Democrats 309 00:16:23,800 --> 00:16:25,760 Speaker 1: will sit there and win this November. I know I 310 00:16:25,800 --> 00:16:27,640 Speaker 1: just said sit there, and I always try to stop 311 00:16:27,680 --> 00:16:31,080 Speaker 1: myself to say sit there, but I did it. Anywhere 312 00:16:31,080 --> 00:16:35,440 Speaker 1: Democrats win this November. Let's talk about an election. Let's 313 00:16:35,480 --> 00:16:39,520 Speaker 1: talk about the great state of Texas. This special election 314 00:16:39,600 --> 00:16:42,440 Speaker 1: in Texas has opened up the you know, open up 315 00:16:42,480 --> 00:16:45,360 Speaker 1: the idea that Texas is in play, especially, you know, 316 00:16:45,800 --> 00:16:49,280 Speaker 1: with incumbent Senator John Cornyn down significantly in the polls, 317 00:16:49,360 --> 00:16:52,760 Speaker 1: especially in a runoff. He's down really badly in a runoff. 318 00:16:52,920 --> 00:16:56,400 Speaker 1: A lot of donors already considering cutting him loose. Recent 319 00:16:56,440 --> 00:16:59,560 Speaker 1: polls by the NRSC found that Cornyn only wins against 320 00:16:59,560 --> 00:17:03,680 Speaker 1: Democrats James to Larico by three points. A poll by 321 00:17:03,680 --> 00:17:06,520 Speaker 1: the University of Houston put every potential matchup within the 322 00:17:06,560 --> 00:17:09,399 Speaker 1: margin of error. And Republicans are worried if Ken Paxton, 323 00:17:09,359 --> 00:17:13,040 Speaker 1: Attorney General Kim Paxson, who's a controversial figure for many reasons. 324 00:17:13,080 --> 00:17:14,560 Speaker 1: I'm not going to go into a whole Kenn Paxson 325 00:17:14,640 --> 00:17:17,520 Speaker 1: episode if he is the nominee, that Democrats have a 326 00:17:17,560 --> 00:17:20,679 Speaker 1: chance of winning the state new Remember, I may know 327 00:17:20,760 --> 00:17:24,000 Speaker 1: everyone outside Texas like that's so far FROs far fetch 328 00:17:24,040 --> 00:17:26,600 Speaker 1: Trump won Texas by a huge margin, and he did. 329 00:17:27,280 --> 00:17:30,040 Speaker 1: But remember in twenty eighteen, in the last midterm, Democrats 330 00:17:30,080 --> 00:17:33,159 Speaker 1: came within two percentage points of beating Ted Cruz. So 331 00:17:33,200 --> 00:17:36,359 Speaker 1: what could happen this year? And the special election in 332 00:17:36,400 --> 00:17:40,680 Speaker 1: the Texas State Senate are giving Democrats even more hope. 333 00:17:40,920 --> 00:17:44,959 Speaker 1: Polls suggest the worst candidate for the Democrats is Jasmine Crockett. 334 00:17:45,000 --> 00:17:46,639 Speaker 1: So that's what I've told all my Republican friends to 335 00:17:46,640 --> 00:17:49,919 Speaker 1: go vote for. Because Texas doesn't have strict party registration, 336 00:17:50,000 --> 00:17:52,480 Speaker 1: you can kind of vote for any primary that you want. 337 00:17:53,080 --> 00:17:56,440 Speaker 1: But this special election is giving them all hope. So 338 00:17:56,640 --> 00:17:59,120 Speaker 1: will the lone star state go blue? That's what we're 339 00:17:59,160 --> 00:18:05,920 Speaker 1: talking about next. Callen Jones is a senior investigator reporter 340 00:18:06,000 --> 00:18:08,080 Speaker 1: at the Dallas Express. He knows a lot about Texas. 341 00:18:08,200 --> 00:18:10,480 Speaker 1: Thank you so much for being here, Callen. Thank you 342 00:18:10,520 --> 00:18:13,320 Speaker 1: for having me Ryan. So my first question for you 343 00:18:13,560 --> 00:18:17,159 Speaker 1: is what does this special election in Texas mean for 344 00:18:17,320 --> 00:18:21,040 Speaker 1: Republicans in November. You're of course talking about the SD 345 00:18:21,200 --> 00:18:21,840 Speaker 1: nine race. 346 00:18:22,000 --> 00:18:26,720 Speaker 5: Yeah, well, I live funny enough in that district. It's 347 00:18:26,760 --> 00:18:30,760 Speaker 5: being interpreted right now as a big upset that mag 348 00:18:30,880 --> 00:18:34,920 Speaker 5: is over this is the sign that Republicans have given 349 00:18:35,000 --> 00:18:37,959 Speaker 5: up on Trump. One thing I would like to point out, 350 00:18:38,000 --> 00:18:40,040 Speaker 5: and I have done in my reporting on this matter, 351 00:18:40,080 --> 00:18:44,080 Speaker 5: is that this was an off year special election runoff, 352 00:18:44,160 --> 00:18:48,000 Speaker 5: and it happened during January. And what typically does not 353 00:18:48,160 --> 00:18:51,520 Speaker 5: happen during Texas's elections is we don't get snowstorms because 354 00:18:51,520 --> 00:18:55,119 Speaker 5: we don't have them in January. And many of the 355 00:18:55,119 --> 00:19:00,560 Speaker 5: polling locations were closed during that election and so disturbed 356 00:19:00,560 --> 00:19:03,399 Speaker 5: to the execution of the election in a way we 357 00:19:03,480 --> 00:19:07,200 Speaker 5: haven't seen before. Republicans were discouraged, I think, partly by 358 00:19:07,240 --> 00:19:10,800 Speaker 5: this known partly by some of the political happenings we 359 00:19:10,880 --> 00:19:13,920 Speaker 5: have going on in this district, and Democrats had a 360 00:19:13,960 --> 00:19:17,800 Speaker 5: reason to turn out. They were mad, they were fired up, 361 00:19:18,080 --> 00:19:21,879 Speaker 5: and the Democrats ran a competent and likable candidate in 362 00:19:22,040 --> 00:19:22,920 Speaker 5: t Would you say. 363 00:19:22,720 --> 00:19:25,199 Speaker 1: Though that, would you say that there were things that 364 00:19:25,240 --> 00:19:28,840 Speaker 1: are divorced. Obviously, the national environment's notcher for Republicans, But 365 00:19:28,840 --> 00:19:32,600 Speaker 1: would you say there were things happening in this election 366 00:19:33,320 --> 00:19:36,159 Speaker 1: that were unique to this election. I've heard from people 367 00:19:36,200 --> 00:19:41,440 Speaker 1: on the ground that the Republican with a virtually pronounceable 368 00:19:41,520 --> 00:19:45,000 Speaker 1: last name, you know, the fight between her and the 369 00:19:45,200 --> 00:19:48,520 Speaker 1: former mayor of the his or her Republican primary opponent 370 00:19:48,600 --> 00:19:52,919 Speaker 1: turned down support things that don't have implications for a 371 00:19:52,960 --> 00:19:57,840 Speaker 1: state wide election. Certainly, there is a battle of personalities 372 00:19:57,880 --> 00:20:02,280 Speaker 1: and of ideology going on in this in the Republican 373 00:20:02,320 --> 00:20:06,160 Speaker 1: primary in this race and the former Republican or there 374 00:20:06,200 --> 00:20:06,879 Speaker 1: wasn't a primary. 375 00:20:06,880 --> 00:20:09,280 Speaker 5: It was three people running against each other. Was wams Goans. 376 00:20:09,640 --> 00:20:12,480 Speaker 5: That's how I say it. Look now I've mispronounced it 377 00:20:12,560 --> 00:20:16,240 Speaker 5: many times. Now it's Wamscons. Lee wams Guns was Republican. 378 00:20:16,320 --> 00:20:19,560 Speaker 5: John John Huffman was the other Republican. He was the 379 00:20:20,520 --> 00:20:23,359 Speaker 5: former mayor of South Lake, and they were running against 380 00:20:23,400 --> 00:20:28,720 Speaker 5: Taylor Remmitt, who was the Democrat union boss. And of 381 00:20:28,760 --> 00:20:32,320 Speaker 5: course the Republican vote was split, and the general election 382 00:20:32,400 --> 00:20:35,359 Speaker 5: vote was split three ways, which forced the runoff. It 383 00:20:35,480 --> 00:20:37,719 Speaker 5: cost a lot of money, and there's sort of an 384 00:20:37,760 --> 00:20:43,119 Speaker 5: ideological difference coming out of the suburbs. There's the Trump 385 00:20:43,240 --> 00:20:46,560 Speaker 5: base which is with him one hundred percent, and Trump, 386 00:20:46,560 --> 00:20:50,960 Speaker 5: of course, at the very end, endorsed Wamscans. And you know, 387 00:20:51,000 --> 00:20:54,400 Speaker 5: the MAGA people were there, but some of the softer 388 00:20:55,320 --> 00:21:02,640 Speaker 5: managerial class moms in the suburbs did not necessarily support 389 00:21:02,920 --> 00:21:07,359 Speaker 5: womscons and there were reasons for that, one of which 390 00:21:07,800 --> 00:21:13,520 Speaker 5: being the potential split of the school district in Iste. Now, 391 00:21:13,560 --> 00:21:17,800 Speaker 5: I'm actually a graduate of Keller High and this was 392 00:21:17,800 --> 00:21:21,560 Speaker 5: a very controversial issue. From my understanding of the issue, 393 00:21:22,200 --> 00:21:25,080 Speaker 5: womscans and some of the other people that ended up 394 00:21:25,080 --> 00:21:30,480 Speaker 5: getting painted with this did not necessarily know about this beforehand. 395 00:21:30,640 --> 00:21:34,439 Speaker 5: This kind of spilled out of the Keller isd School 396 00:21:34,440 --> 00:21:38,920 Speaker 5: board with no preparation to the public. This was, in 397 00:21:39,080 --> 00:21:43,440 Speaker 5: their view, sprung upon them, and the battle was over 398 00:21:43,600 --> 00:21:47,159 Speaker 5: whether to break Keller id into several, possibly two or 399 00:21:47,200 --> 00:21:51,480 Speaker 5: more districts, with Keller High kind of anchoring the Keller 400 00:21:51,520 --> 00:21:53,120 Speaker 5: district and then some of the other. 401 00:21:53,520 --> 00:21:56,119 Speaker 1: Basically an economic splits me in the wealthier parts of 402 00:21:56,160 --> 00:21:58,520 Speaker 1: the town and then the working class parts of the town. 403 00:21:58,600 --> 00:22:02,280 Speaker 1: Definitely created a lot of blood and tention. Okay, So 404 00:22:02,400 --> 00:22:05,240 Speaker 1: here's the main part of it. Right outside this election, 405 00:22:05,640 --> 00:22:08,439 Speaker 1: are Republicans in trouble losing any state wide seats in 406 00:22:08,480 --> 00:22:10,600 Speaker 1: Texas in this year for the first time in twenty 407 00:22:10,600 --> 00:22:11,200 Speaker 1: five years. 408 00:22:12,359 --> 00:22:14,280 Speaker 5: You know, the number one you would think about is 409 00:22:14,359 --> 00:22:16,600 Speaker 5: the Senate race. And there was a poll out from 410 00:22:17,040 --> 00:22:20,320 Speaker 5: the University of Houston just yesterday and it showed whoever 411 00:22:20,359 --> 00:22:23,480 Speaker 5: the Republican nominee is is going to win between one 412 00:22:23,520 --> 00:22:25,600 Speaker 5: and four points, and they had to head match up 413 00:22:25,600 --> 00:22:30,080 Speaker 5: against the likely Democrat nominee, which is Jasmine Crockett, the 414 00:22:30,720 --> 00:22:32,040 Speaker 5: congresswoman from Dallas. 415 00:22:32,800 --> 00:22:35,040 Speaker 1: Yeah, I've told all my Republican revents of over Jasmin 416 00:22:35,080 --> 00:22:40,880 Speaker 1: Crockett what well, I mean, she's definitely the easiest one 417 00:22:40,960 --> 00:22:45,600 Speaker 1: to beat in this election. So, I mean, Texas is 418 00:22:45,760 --> 00:22:48,720 Speaker 1: definitely not the I mean when it comes to winning 419 00:22:48,720 --> 00:22:51,680 Speaker 1: the majority for the Senate, Democrats are looking at North Carolina, 420 00:22:51,800 --> 00:22:53,840 Speaker 1: m Maine. But they still need to pick up two 421 00:22:53,880 --> 00:22:56,600 Speaker 1: seeds and I was one of them in Texas and 422 00:22:56,680 --> 00:23:00,760 Speaker 1: Texas and Alaska or the other two. Texas has twenty 423 00:23:00,800 --> 00:23:03,520 Speaker 1: eighteen was a very close year for Ted Cruz. They 424 00:23:03,560 --> 00:23:07,560 Speaker 1: were expecting there was a big pushback among Latinos. Are 425 00:23:07,840 --> 00:23:10,960 Speaker 1: Republicans feeling nervous about a similar pushback this time among 426 00:23:10,960 --> 00:23:12,040 Speaker 1: the Latino population. 427 00:23:13,320 --> 00:23:18,119 Speaker 5: There does seem to be some realignment amongst the Latino population, 428 00:23:18,240 --> 00:23:21,000 Speaker 5: but they're not returning to the numbers that we've seen 429 00:23:21,040 --> 00:23:23,680 Speaker 5: in the past. They're not returning to the Hillary numbers 430 00:23:24,359 --> 00:23:29,560 Speaker 5: where maybe some decrease the polling is signaling, but it's 431 00:23:29,680 --> 00:23:34,919 Speaker 5: not that the Latinos have completely given up on Republicans. 432 00:23:34,960 --> 00:23:35,120 Speaker 3: Now. 433 00:23:35,160 --> 00:23:37,359 Speaker 5: They may not get the numbers they got in twenty 434 00:23:37,359 --> 00:23:40,760 Speaker 5: twenty four, but presidential elections are a little bit different 435 00:23:40,960 --> 00:23:43,320 Speaker 5: than midterm at Senate elections. 436 00:23:43,840 --> 00:23:45,919 Speaker 1: Yeah, well, I mean, I know, I was just in Texas. 437 00:23:45,960 --> 00:23:47,359 Speaker 1: I was actually in Dallas. The should have given you 438 00:23:47,359 --> 00:23:48,840 Speaker 1: a qull but I was there for like eighteen hours, 439 00:23:48,880 --> 00:23:51,560 Speaker 1: so it was a very brief trip. But when I 440 00:23:51,600 --> 00:23:57,280 Speaker 1: was there, it's interesting. Texans are very Texas Republicans, as 441 00:23:57,359 --> 00:24:02,440 Speaker 1: to say, are very aware of the immigration issue changing, 442 00:24:02,840 --> 00:24:05,600 Speaker 1: especially the Dallas area. Right, there's a huge influx of 443 00:24:05,640 --> 00:24:09,080 Speaker 1: Indian immigrants, a use flux as a Muslim population in Texas. 444 00:24:09,520 --> 00:24:11,440 Speaker 1: There's the Epic City, which, as the don't know that 445 00:24:11,640 --> 00:24:15,240 Speaker 1: was trying to build like basically a Shuria city in Texas. 446 00:24:16,640 --> 00:24:19,479 Speaker 1: And it's a conversation that everyone's kind of having. And 447 00:24:19,560 --> 00:24:22,640 Speaker 1: yet you still have among the Texas delegation a lot 448 00:24:22,640 --> 00:24:25,480 Speaker 1: of squishes, John Cornyn being one of them. John Cornyn 449 00:24:25,600 --> 00:24:27,919 Speaker 1: is incredibly weak on immigration. He's probably one of the 450 00:24:27,920 --> 00:24:31,879 Speaker 1: weakest Republicans left in the Senate. Immigration. Where is this 451 00:24:32,000 --> 00:24:35,359 Speaker 1: disconnect between the voters and the elect is coming from. 452 00:24:35,520 --> 00:24:38,600 Speaker 1: Is it all just money and donors or what is it? Well, 453 00:24:39,080 --> 00:24:42,400 Speaker 1: John Cornyn is very cozy with the Chamber of Commerce, 454 00:24:42,640 --> 00:24:44,840 Speaker 1: and of course the Chamber of Commerces, you know, is 455 00:24:44,880 --> 00:24:48,240 Speaker 1: suing the President to halt the one hundred thousand dollars 456 00:24:48,400 --> 00:24:54,320 Speaker 1: h one BFE. So the feelings of Cornyn's donors and 457 00:24:54,359 --> 00:24:56,960 Speaker 1: his voters are very far apart. Now. 458 00:24:57,000 --> 00:24:59,960 Speaker 5: Cornyn has been able to skate by for many decades 459 00:25:00,880 --> 00:25:04,480 Speaker 5: on kind of the support of the long gone now 460 00:25:04,600 --> 00:25:07,920 Speaker 5: sort of Bush establishment that's been in decay for many decades. 461 00:25:08,480 --> 00:25:13,000 Speaker 5: But he's but now there's sort of a reckoning because 462 00:25:13,000 --> 00:25:17,919 Speaker 5: people are very frustrated with him, and the Magabase in 463 00:25:18,000 --> 00:25:21,960 Speaker 5: Texas feels that they could soon be without a major 464 00:25:22,080 --> 00:25:26,800 Speaker 5: ally in the Senate. Of course, Marsha Blackburn is running 465 00:25:26,800 --> 00:25:30,240 Speaker 5: for governor of Tennessee, Tommy Tulberbill is running for governor 466 00:25:30,280 --> 00:25:33,159 Speaker 5: of Alabama, and there's a thinning out in the Senate 467 00:25:33,320 --> 00:25:35,800 Speaker 5: and in the House of sort of the Magabase, and 468 00:25:35,960 --> 00:25:39,800 Speaker 5: they view this is their opportunity to get their guy in, 469 00:25:39,880 --> 00:25:42,840 Speaker 5: who appears generally to be Kin Paxton. I'll make one 470 00:25:42,840 --> 00:25:46,000 Speaker 5: more point on this is that voters in Texas are 471 00:25:46,119 --> 00:25:50,120 Speaker 5: connected at a personal level with Paxton in a way 472 00:25:50,200 --> 00:25:52,880 Speaker 5: they're not connected with Cornyn. Coryn may be a name 473 00:25:52,960 --> 00:25:56,600 Speaker 5: they know because he's been around thirty something years. But 474 00:25:56,920 --> 00:26:01,040 Speaker 5: during that impeachment hearing, a lot of people bought with 475 00:26:01,280 --> 00:26:05,080 Speaker 5: Paxton because they viewed it as a real roading sort 476 00:26:05,119 --> 00:26:08,080 Speaker 5: of in the same style of the indictments brought against 477 00:26:08,160 --> 00:26:11,840 Speaker 5: President Trump. They are emotionally connected to him at a 478 00:26:11,920 --> 00:26:14,880 Speaker 5: visceral level that they are just not connected to John 479 00:26:14,920 --> 00:26:16,080 Speaker 5: Cornyn or Wesley Hunt. 480 00:26:16,359 --> 00:26:18,399 Speaker 1: When I was in Texas for Brandon Gills race, I 481 00:26:18,480 --> 00:26:21,240 Speaker 1: was his GC for his run, his first run, and 482 00:26:22,480 --> 00:26:24,760 Speaker 1: the word on the the word on the street was 483 00:26:24,800 --> 00:26:27,960 Speaker 1: always Packson's a crook, but he's urkrook. That was what 484 00:26:28,040 --> 00:26:29,960 Speaker 1: Republicans told me. I mean, you know, to say that 485 00:26:30,080 --> 00:26:32,840 Speaker 1: was what verbatim what they told me was he's a crook, 486 00:26:32,880 --> 00:26:35,560 Speaker 1: but he's r crook. And they thought he was a fighter. 487 00:26:35,720 --> 00:26:38,640 Speaker 1: And it's with a Cornyn. There's a lot of established 488 00:26:38,640 --> 00:26:41,760 Speaker 1: in dent Republicans in the United States Senate. I mean, 489 00:26:41,840 --> 00:26:44,679 Speaker 1: Lindsay Graham. You don't get more established from that. Lindsay 490 00:26:44,720 --> 00:26:47,800 Speaker 1: and Graham managed to marry himself to Donald Trump in 491 00:26:47,840 --> 00:26:54,720 Speaker 1: certain respects and managed to evade criticisms in certain areas 492 00:26:54,880 --> 00:26:58,920 Speaker 1: because he became so closely aligned to Trump. Well, I'm 493 00:26:58,960 --> 00:27:01,600 Speaker 1: sure he disagrees with like this, really disagrees with but 494 00:27:01,760 --> 00:27:04,879 Speaker 1: that is what he did to survive politically. John Cornyn 495 00:27:05,000 --> 00:27:08,280 Speaker 1: never did that, and it's very strange that he kind 496 00:27:08,320 --> 00:27:12,520 Speaker 1: of maybe thought he was going to outlast Trump. So, 497 00:27:14,119 --> 00:27:16,240 Speaker 1: I mean, is this the end of Cornyn that we're seeing? 498 00:27:17,480 --> 00:27:20,800 Speaker 5: All the polling would suggest that he may make it 499 00:27:20,840 --> 00:27:24,960 Speaker 5: to the runoff, But the people who are supporting Wesley 500 00:27:25,040 --> 00:27:29,600 Speaker 5: Hunt are probably going to line up behind Paston. They 501 00:27:29,640 --> 00:27:31,840 Speaker 5: have to get when they have to make a binary 502 00:27:31,960 --> 00:27:36,040 Speaker 5: choice in the likely runoff election. 503 00:27:36,840 --> 00:27:39,480 Speaker 1: Is there a chance of a Hunt versus Paston run off? 504 00:27:39,880 --> 00:27:43,240 Speaker 5: There is there is. The polling doesn't suggest most polling 505 00:27:43,320 --> 00:27:47,479 Speaker 5: and the more recent pulling doesn't suggest that's likely. I 506 00:27:47,480 --> 00:27:51,000 Speaker 5: think Wesley Hunt, based off the University of Houston poll, 507 00:27:51,359 --> 00:27:56,360 Speaker 5: either has slightly higher favorability or ride on par They're 508 00:27:56,400 --> 00:27:59,320 Speaker 5: like within a few points of each other on favorability. 509 00:27:59,680 --> 00:28:02,080 Speaker 5: But the thing is is that Wesley Hunt is not 510 00:28:02,200 --> 00:28:05,040 Speaker 5: a known commodity to the public in the way Kim 511 00:28:05,080 --> 00:28:08,320 Speaker 5: Paxton is or in the way John Cornyn is many 512 00:28:08,359 --> 00:28:10,640 Speaker 5: people did not hear of him before he jumped into 513 00:28:10,680 --> 00:28:15,520 Speaker 5: this race. Okay, last question, Do Democrats have anything going 514 00:28:15,560 --> 00:28:18,560 Speaker 5: for them in terms of a possible upset? 515 00:28:19,160 --> 00:28:22,040 Speaker 1: Is there a possibility in which way that Democrats have 516 00:28:22,080 --> 00:28:25,400 Speaker 1: a perfect I mean, I know that the other Democrat, 517 00:28:25,480 --> 00:28:27,200 Speaker 1: not Jazz and Crockett, has raised a lot of money 518 00:28:27,200 --> 00:28:31,040 Speaker 1: although people aren't supporting him, and I know that there 519 00:28:31,080 --> 00:28:33,680 Speaker 1: are a lot of other seats up for grabs. Is 520 00:28:33,720 --> 00:28:37,160 Speaker 1: there any possibly Democrats that there and pull a rabbit 521 00:28:37,160 --> 00:28:37,720 Speaker 1: out of a hat? 522 00:28:38,480 --> 00:28:40,920 Speaker 5: Well, I don't want to sound like the Huffington Post 523 00:28:41,000 --> 00:28:43,320 Speaker 5: on the morning of the election in twenty sixteen. And 524 00:28:43,360 --> 00:28:45,800 Speaker 5: you know, Hillary has a ninety nine percent chance of winning. 525 00:28:45,840 --> 00:28:50,520 Speaker 5: It's in the bag for Hillary, but the odds are 526 00:28:50,640 --> 00:28:55,920 Speaker 5: very strongly in the Republican's favor. You would be hard 527 00:28:55,960 --> 00:28:59,080 Speaker 5: pressed to find a high quality pull that would show 528 00:28:59,080 --> 00:29:03,920 Speaker 5: you that husband Crockett is likely to defeat Tim Paxton 529 00:29:04,120 --> 00:29:04,640 Speaker 5: or John. 530 00:29:04,520 --> 00:29:07,960 Speaker 1: Cornyn orz and with one and with the Jerry manner 531 00:29:08,040 --> 00:29:10,120 Speaker 1: that they just had, is there any chance of losing 532 00:29:10,160 --> 00:29:12,440 Speaker 1: one of these new House seats? Is there any chance 533 00:29:12,480 --> 00:29:14,800 Speaker 1: of the Democrats losing one of the Republicans losing any 534 00:29:14,840 --> 00:29:16,840 Speaker 1: of the House sets that they drew for a Republican 535 00:29:16,920 --> 00:29:18,520 Speaker 1: seat or do you know that's pretty safe. They've done 536 00:29:18,560 --> 00:29:19,080 Speaker 1: a good job. 537 00:29:19,400 --> 00:29:21,200 Speaker 5: I think they've done a good job. They've made these 538 00:29:21,280 --> 00:29:24,240 Speaker 5: races very expensive and the way they've gone the seats, 539 00:29:24,280 --> 00:29:27,400 Speaker 5: but I don't think they've made them unwinnable, and I 540 00:29:27,400 --> 00:29:29,480 Speaker 5: think they're likely to win in Texas. The mood on 541 00:29:29,520 --> 00:29:32,680 Speaker 5: the ground in Texas is that the Republicans are going 542 00:29:32,720 --> 00:29:34,959 Speaker 5: to get the seats that they drew, and they're going 543 00:29:35,000 --> 00:29:37,000 Speaker 5: to get this. They're going to maintain their Senate seat. 544 00:29:37,680 --> 00:29:39,280 Speaker 1: All right, Callen? Where can we go to read more 545 00:29:39,320 --> 00:29:41,600 Speaker 1: about you, what you do and all your stuff. 546 00:29:42,240 --> 00:29:44,440 Speaker 5: You can find me at the Dallas Express website, which 547 00:29:44,480 --> 00:29:46,920 Speaker 5: is www dot Dallas Express dot com, and you can 548 00:29:47,000 --> 00:29:49,480 Speaker 5: always find me on Twitter at Cowtown Caller. 549 00:29:50,000 --> 00:29:52,200 Speaker 1: Callen. Thank you for coming this podcast. I really appreciate it. 550 00:29:52,320 --> 00:29:53,000 Speaker 1: Are you're right. 551 00:29:56,200 --> 00:29:56,360 Speaker 2: Now? 552 00:29:56,360 --> 00:29:58,120 Speaker 1: It's time for the Ask Me Anything segment. If you 553 00:29:58,160 --> 00:30:00,440 Speaker 1: want a part of the Ask Me Anything segment. Emily 554 00:30:00,560 --> 00:30:04,560 Speaker 1: Ryan at Numbers gamepodcast dot com. That's Ryan at Numbers 555 00:30:04,640 --> 00:30:07,680 Speaker 1: gamepodcast dot com. Numbers Plural, I have a number a 556 00:30:07,680 --> 00:30:09,600 Speaker 1: lot in the dock but I'm going through them one 557 00:30:09,640 --> 00:30:11,080 Speaker 1: by one. I will get to your question if you 558 00:30:11,160 --> 00:30:14,280 Speaker 1: haven't heard it yet. First one comes from Mary. Mary 559 00:30:14,280 --> 00:30:16,440 Speaker 1: brings up an op ed that I wrote for my substack, 560 00:30:16,520 --> 00:30:20,280 Speaker 1: the National Populist newsletter about the birth rate and the 561 00:30:20,440 --> 00:30:24,320 Speaker 1: increasing births of white couples having children, well the white, 562 00:30:24,440 --> 00:30:26,720 Speaker 1: non Hispanic white father and non a Hispanic white mother, 563 00:30:26,760 --> 00:30:29,640 Speaker 1: and why that that was such an anomaly in the 564 00:30:29,720 --> 00:30:32,640 Speaker 1: overall numbers, where you see numbers declining among all groups 565 00:30:32,680 --> 00:30:35,520 Speaker 1: except for Biracials. And she says, hi Ryan given to 566 00:30:35,600 --> 00:30:38,200 Speaker 1: the most people from the Middle East are classified as white. 567 00:30:38,200 --> 00:30:40,920 Speaker 1: Could this baby bump be a Muslim baby bump? That's 568 00:30:41,120 --> 00:30:44,200 Speaker 1: thanks Mary, Mary's a great question. So there were about 569 00:30:44,200 --> 00:30:47,200 Speaker 1: three point five to five million Middle Easterners. Not all 570 00:30:47,280 --> 00:30:50,080 Speaker 1: Muslims are classified as white, right, by the way, just 571 00:30:50,320 --> 00:30:53,080 Speaker 1: Middle Easterners. They're about three point five to five million 572 00:30:53,120 --> 00:30:58,240 Speaker 1: Middle Easterners in America. They predominantly live in Michigan, California, 573 00:30:58,360 --> 00:31:00,800 Speaker 1: New Jersey, New York, and Massachusetts. Remember when you say 574 00:31:00,800 --> 00:31:05,200 Speaker 1: Middle Easterners, that includes Lebanese Christians, that includes agnostic people, 575 00:31:05,200 --> 00:31:08,560 Speaker 1: that includes not just Muslims. Right, Israeli Jews. Perfect example, 576 00:31:08,600 --> 00:31:12,400 Speaker 1: Middle Easterners, so they're not all Muslims, you know, by 577 00:31:12,560 --> 00:31:18,440 Speaker 1: the fact that they're Middle Eastern. Secondly, because the overall 578 00:31:18,480 --> 00:31:22,400 Speaker 1: population grew in almost every single state, including like Upper 579 00:31:22,440 --> 00:31:25,000 Speaker 1: New England, like Vermont, Maine and New Hampshire, which is 580 00:31:25,120 --> 00:31:29,360 Speaker 1: very low Muslim population. It increased in the Deep South, 581 00:31:29,360 --> 00:31:32,160 Speaker 1: and increased in Ohio and Pennsylvania and Vermont, and like 582 00:31:33,240 --> 00:31:36,920 Speaker 1: in Kentucky. These are places that have very very low 583 00:31:37,240 --> 00:31:39,840 Speaker 1: Muslim populations. I take it back in Kentucky. Maybe they 584 00:31:39,840 --> 00:31:41,360 Speaker 1: didn't go to Kentucky, but I have to look that up. 585 00:31:41,400 --> 00:31:43,720 Speaker 1: But it grew in most other parts of the country 586 00:31:44,000 --> 00:31:47,120 Speaker 1: that have very very low Muslim populations. So if it 587 00:31:47,240 --> 00:31:49,719 Speaker 1: was just a Muslim thing, you would see the numbers 588 00:31:50,120 --> 00:31:54,480 Speaker 1: being connected with the states that have large Muslim populations. 589 00:31:54,840 --> 00:31:57,240 Speaker 1: Like I thought originally, Oh, it must be because of 590 00:31:57,320 --> 00:32:00,600 Speaker 1: ultra religious communities like Amish and Orthodox Jews, and maybe 591 00:32:00,640 --> 00:32:04,719 Speaker 1: like traditional Latin mask Catholics and Mormons. But it's not. 592 00:32:04,880 --> 00:32:08,920 Speaker 1: It doesn't. It doesn't correlate with just one population living 593 00:32:08,960 --> 00:32:11,840 Speaker 1: in one area. I don't know the reason why. I'm 594 00:32:11,840 --> 00:32:13,480 Speaker 1: going to explore it. As the numbers come in for 595 00:32:13,560 --> 00:32:15,360 Speaker 1: twenty twenty six and we can sit there and start 596 00:32:15,400 --> 00:32:18,720 Speaker 1: breaking down more data. But something unusual is happening. And 597 00:32:18,760 --> 00:32:20,520 Speaker 1: I don't know if it's a cultural thing across the 598 00:32:20,560 --> 00:32:24,400 Speaker 1: country or if it's just you know, a flair from them, 599 00:32:24,480 --> 00:32:25,960 Speaker 1: but the fact that happened two years in a row 600 00:32:26,040 --> 00:32:28,120 Speaker 1: is very very odd. So I will let you know 601 00:32:28,200 --> 00:32:30,200 Speaker 1: as I know more. But no, it's not simply just 602 00:32:30,240 --> 00:32:33,479 Speaker 1: because Muslims are having more children. And also I think 603 00:32:33,800 --> 00:32:37,520 Speaker 1: I'm pretty sure most Muslim birth rates are now at 604 00:32:37,600 --> 00:32:40,080 Speaker 1: or below replacement levels in the United States. They're not 605 00:32:40,200 --> 00:32:43,200 Speaker 1: very high. People people think when they hear Muslim birth 606 00:32:43,240 --> 00:32:45,360 Speaker 1: rates that everyone's Afghanistan or they do have a lot 607 00:32:45,400 --> 00:32:47,160 Speaker 1: of children, And in fact, most parts of the Middle 608 00:32:47,200 --> 00:32:50,040 Speaker 1: East are now settled around like two point five two 609 00:32:50,040 --> 00:32:53,040 Speaker 1: point six children for women. Most parts of Northern Africa 610 00:32:53,480 --> 00:32:56,959 Speaker 1: even have now slept below replacement levels, So it's not 611 00:32:57,120 --> 00:32:59,840 Speaker 1: like most Muslim countries or even having tons of kids 612 00:32:59,880 --> 00:33:02,720 Speaker 1: like they used to. So Saturn Africa is the extreme 613 00:33:02,800 --> 00:33:06,800 Speaker 1: third world like Afghanistan is, but they're not. They're People's 614 00:33:06,840 --> 00:33:10,720 Speaker 1: opinions of how Muslim birth rates are very outdated. Okay, 615 00:33:10,800 --> 00:33:15,000 Speaker 1: second question, Hello, Ryan. This comes from Greg. He says, 616 00:33:15,200 --> 00:33:17,600 Speaker 1: as a big Billy as a big fan of Billie 617 00:33:17,600 --> 00:33:20,040 Speaker 1: Eilish's music and a fan of Ice. I'm not going 618 00:33:20,080 --> 00:33:23,080 Speaker 1: to educate our on her opinion because she's wrong on 619 00:33:23,160 --> 00:33:26,760 Speaker 1: stolen part. And actually we're living on rented land, and 620 00:33:26,800 --> 00:33:30,080 Speaker 1: that's not just Americans, that's our entire planet. We also 621 00:33:30,160 --> 00:33:32,560 Speaker 1: pay taxes for our land on our property, and we're 622 00:33:32,560 --> 00:33:37,160 Speaker 1: not going to live forever. Okay, so he says, so 623 00:33:37,360 --> 00:33:39,920 Speaker 1: as we mock Billy Eilish. Yes, she's on rented land 624 00:33:39,960 --> 00:33:42,760 Speaker 1: from a population. I'll probably live there, but she herself 625 00:33:43,080 --> 00:33:45,640 Speaker 1: will she herself and all of us will probably not 626 00:33:45,800 --> 00:33:48,600 Speaker 1: live on the current land within one to two hundred years. 627 00:33:48,640 --> 00:33:51,480 Speaker 1: What are your thoughts? I think, listen, I don't know 628 00:33:51,480 --> 00:33:53,920 Speaker 1: about the whole rented land thing. I guess we're all 629 00:33:53,960 --> 00:33:57,440 Speaker 1: just temporary in our shown skin, and only souls are forever. 630 00:33:57,680 --> 00:34:01,080 Speaker 1: But souls, cockroaches and share, right, those are the three 631 00:34:01,080 --> 00:34:01,880 Speaker 1: things that last forever. 632 00:34:02,040 --> 00:34:02,760 Speaker 2: But the. 633 00:34:04,520 --> 00:34:07,440 Speaker 1: Thing about Billie Eilish, the thing about Sabrina Carpenter who 634 00:34:07,440 --> 00:34:10,840 Speaker 1: was clapping like a train seal, the thing about bad 635 00:34:10,960 --> 00:34:13,440 Speaker 1: Bunny and all the rest of these things is like 636 00:34:14,560 --> 00:34:17,719 Speaker 1: people are trained to want to feel good, to say 637 00:34:17,760 --> 00:34:20,879 Speaker 1: the right thing Billy Eilish doesn't care about it being 638 00:34:20,920 --> 00:34:23,680 Speaker 1: on Native American land. Otherwise she give her house back, 639 00:34:24,000 --> 00:34:27,160 Speaker 1: would she would self deport to Ireland or England wherever 640 00:34:27,280 --> 00:34:31,200 Speaker 1: her family's from. She has no interest in doing that whatsoever. 641 00:34:31,360 --> 00:34:34,960 Speaker 1: And it's all just to sit there and show a 642 00:34:35,040 --> 00:34:38,280 Speaker 1: group of people like, hey, I'm a good white person. 643 00:34:38,440 --> 00:34:42,120 Speaker 1: And the irony is that Billie Eilish and Sabrina Carpenter, 644 00:34:42,480 --> 00:34:47,040 Speaker 1: these are multi multi millionaires who have far more ability 645 00:34:47,160 --> 00:34:51,480 Speaker 1: to give back or to do something for populations of 646 00:34:52,440 --> 00:34:55,799 Speaker 1: Native Americans than other people do. Than Indigenous Americans than 647 00:34:55,880 --> 00:34:59,640 Speaker 1: other people do. I mean the poorest population in the 648 00:34:59,760 --> 00:35:02,440 Speaker 1: kN our Native Americans live in South Dakota. Some of 649 00:35:02,440 --> 00:35:05,000 Speaker 1: them don't have running heat correctly and they don't have 650 00:35:05,239 --> 00:35:09,560 Speaker 1: proper refrigeration. There's amazing articles written about the devastating poverty 651 00:35:09,600 --> 00:35:12,399 Speaker 1: in South Dakota. They don't do a thing for them. 652 00:35:12,440 --> 00:35:16,120 Speaker 1: They don't care. They want to cater and to tell 653 00:35:16,200 --> 00:35:20,480 Speaker 1: middle class, working class and upper class white people you 654 00:35:20,600 --> 00:35:25,719 Speaker 1: should feel bad, you should want to do more. I'm not, 655 00:35:26,560 --> 00:35:29,359 Speaker 1: but I'm gonna say the right thing so your kids 656 00:35:29,440 --> 00:35:31,200 Speaker 1: can sit there and say, well, this is what I 657 00:35:31,320 --> 00:35:35,120 Speaker 1: should be doing. It's all. I don't say it's brainwashing, 658 00:35:35,160 --> 00:35:38,359 Speaker 1: but it is brainwashing. It's all performance are and it's 659 00:35:38,400 --> 00:35:42,319 Speaker 1: all performative. Nothing is about this as authentic or real. 660 00:35:42,640 --> 00:35:44,520 Speaker 1: Billy Eilish has made a good song or two. I 661 00:35:44,560 --> 00:35:48,960 Speaker 1: don't hate her, don't. I don't think about her. But 662 00:35:49,040 --> 00:35:52,200 Speaker 1: it would be great if the next person on stage 663 00:35:52,200 --> 00:35:54,280 Speaker 1: at the Grammys after she said that, said, Okay, Billy, 664 00:35:54,280 --> 00:35:56,400 Speaker 1: give your give your house away. Give your house the 665 00:35:56,480 --> 00:35:59,000 Speaker 1: Native American tribe that lived there, they're still around. You 666 00:35:59,040 --> 00:36:01,279 Speaker 1: could do that, But of course she's not going to. 667 00:36:01,320 --> 00:36:04,000 Speaker 1: It's all hypocrisy and it's all performative, like most things 668 00:36:04,040 --> 00:36:08,120 Speaker 1: that white liberals do. Okay, I'm liberals in general. Don 669 00:36:08,200 --> 00:36:09,960 Speaker 1: Lemon has a white husband who says there and talking 670 00:36:09,960 --> 00:36:13,560 Speaker 1: about whole white supremacy is terrible. Okay. Last question comes 671 00:36:13,719 --> 00:36:16,800 Speaker 1: from Julia. She writes, I'm enjoying the show as always. 672 00:36:16,920 --> 00:36:18,800 Speaker 1: It keeps me, It keeps me a company my commute 673 00:36:18,840 --> 00:36:20,000 Speaker 1: to work. Oh, I hope you have a good day 674 00:36:20,000 --> 00:36:22,440 Speaker 1: of work today, Julia. I'm thankful for your New York 675 00:36:22,520 --> 00:36:24,640 Speaker 1: sense of humor. My questions as the Republicans are doing 676 00:36:24,719 --> 00:36:27,720 Speaker 1: badly and special elections, for example in Texas, the district 677 00:36:27,880 --> 00:36:30,000 Speaker 1: that we talk about today, that when strongly for Trump 678 00:36:30,000 --> 00:36:33,040 Speaker 1: in twenty twenty four just slung left. That's troubling. But 679 00:36:33,080 --> 00:36:35,440 Speaker 1: then on X I regularly see clips of Harry Anton 680 00:36:35,480 --> 00:36:38,759 Speaker 1: from CNN reporting on how strong the numbers are for Trump, 681 00:36:38,880 --> 00:36:42,000 Speaker 1: how jd Vance is at eighty four percent ratings. Is 682 00:36:42,040 --> 00:36:44,720 Speaker 1: this a disconnect? How can Anton, of all people, report 683 00:36:44,719 --> 00:36:47,960 Speaker 1: the strength of the GOP if apparently is losing all 684 00:36:48,040 --> 00:36:50,600 Speaker 1: the special elections. Please explain, Julie. I hope you have 685 00:36:50,640 --> 00:36:52,360 Speaker 1: a wonderful day of work and I will explain. So, 686 00:36:53,320 --> 00:36:57,080 Speaker 1: Trump and Vance are popular within the Republican Party. One 687 00:36:57,120 --> 00:37:00,239 Speaker 1: that doesn't mean that every person running for reelection is 688 00:37:00,239 --> 00:37:02,720 Speaker 1: popular within the Republican Party. There's a number of people 689 00:37:02,760 --> 00:37:06,719 Speaker 1: that are not that popular. Dan Crenshaw is not super popular. 690 00:37:06,920 --> 00:37:09,800 Speaker 1: Corey Mills is not super popular within his own party. 691 00:37:09,880 --> 00:37:12,279 Speaker 1: Brandy Fine is not super popular in his own party. 692 00:37:12,280 --> 00:37:15,920 Speaker 1: So it doesn't always transfer over to the person running 693 00:37:15,920 --> 00:37:19,800 Speaker 1: for office. Secondly, there are more people in the country 694 00:37:19,880 --> 00:37:23,239 Speaker 1: than just Republicans, So voter enthusiasm voter turn out mean 695 00:37:23,320 --> 00:37:26,719 Speaker 1: a lot. Just because someone really loves Donald Trump and 696 00:37:26,760 --> 00:37:28,359 Speaker 1: they get out and they go vote for Donald Trump 697 00:37:28,400 --> 00:37:30,480 Speaker 1: and a primary general doesn't mean they're going to go 698 00:37:30,560 --> 00:37:32,680 Speaker 1: vote in a special election that's held on a Saturday. 699 00:37:32,719 --> 00:37:35,920 Speaker 1: Something I still don't understand why Texas is holding special 700 00:37:35,960 --> 00:37:40,439 Speaker 1: elections on Saturdays. It truly boggles my mind. But they 701 00:37:40,520 --> 00:37:42,920 Speaker 1: don't go vote on a Saturday, or they're not informed 702 00:37:42,920 --> 00:37:47,440 Speaker 1: that there's an election going on. Never underestimate people's ability 703 00:37:47,480 --> 00:37:50,520 Speaker 1: to just ignore what's happening. They're busy with their own lives. 704 00:37:50,520 --> 00:37:52,160 Speaker 1: They got kids, they got work, they got you know, 705 00:37:52,239 --> 00:37:55,560 Speaker 1: sports teams, fantasy football. Who knows what's going on. So 706 00:37:56,239 --> 00:37:59,040 Speaker 1: that is that's the condition of why they're losing. And 707 00:37:59,080 --> 00:38:02,200 Speaker 1: when you look at if they prefer if people prefer 708 00:38:02,239 --> 00:38:05,040 Speaker 1: the solutions from the Republican Party or the Democratic Party, 709 00:38:05,239 --> 00:38:08,200 Speaker 1: they usually prefer the Republicans. It's just that certain things 710 00:38:08,239 --> 00:38:12,319 Speaker 1: are not as Americans expected them. We're very I don't 711 00:38:12,320 --> 00:38:15,680 Speaker 1: want to say angry, but we're a very frustrated population. 712 00:38:15,880 --> 00:38:19,640 Speaker 1: We expected the economy in different places. The unemployment rate 713 00:38:19,719 --> 00:38:22,440 Speaker 1: for young people, including people who got good jobs, is 714 00:38:22,680 --> 00:38:26,320 Speaker 1: very high. People are nervous about AI, people are nervous 715 00:38:26,320 --> 00:38:32,040 Speaker 1: about costs of electricity other things. So the two parties, 716 00:38:32,080 --> 00:38:33,759 Speaker 1: it's not like we live in the Netherlands, where there's 717 00:38:33,760 --> 00:38:35,640 Speaker 1: thirty and you can choose one or the other. There's 718 00:38:35,680 --> 00:38:38,560 Speaker 1: only two to pick from. So what happens when the 719 00:38:38,600 --> 00:38:41,319 Speaker 1: party gets into power, the opposite party usually wins because 720 00:38:41,320 --> 00:38:43,160 Speaker 1: people were saying, oh, I want it to be better. 721 00:38:44,080 --> 00:38:46,000 Speaker 1: It is what it is. It's a fact of life. 722 00:38:46,080 --> 00:38:48,600 Speaker 1: But it does. But what Harryington is saying about Trump 723 00:38:48,640 --> 00:38:52,040 Speaker 1: and about Vance are true. Vance is very very popular 724 00:38:52,040 --> 00:38:57,399 Speaker 1: among Republican primary voters. He's a very very likely next 725 00:38:57,400 --> 00:39:00,000 Speaker 1: nominee if he chooses to run. And Trump is still 726 00:39:00,200 --> 00:39:03,080 Speaker 1: to pop among Republican Party voters, and that does not 727 00:39:03,200 --> 00:39:05,920 Speaker 1: mitigate from the fact that people are very angry at 728 00:39:06,160 --> 00:39:08,759 Speaker 1: the president and the party a lot of times over 729 00:39:08,840 --> 00:39:11,200 Speaker 1: economics up or feeling like he's not looking at the 730 00:39:11,280 --> 00:39:14,360 Speaker 1: right issues, that he's not focused enough on the interior 731 00:39:14,360 --> 00:39:16,680 Speaker 1: of the country. He's doing so much on foreign policy. Anyway, 732 00:39:16,680 --> 00:39:18,799 Speaker 1: that's the today's show. Thank you so much for listening. 733 00:39:18,840 --> 00:39:20,840 Speaker 1: If you like this podcast, please like and subscribe in 734 00:39:20,920 --> 00:39:23,920 Speaker 1: the iHeartRadio app Apple Podcast wherever gets your podcasts, Like 735 00:39:23,960 --> 00:39:25,920 Speaker 1: and subscribe on YouTube. Give me a thumbs up if 736 00:39:25,920 --> 00:39:28,040 Speaker 1: you like this video, and please make sure you tell 737 00:39:28,040 --> 00:39:29,800 Speaker 1: your friends and family and trying to grow this show, 738 00:39:30,040 --> 00:39:31,560 Speaker 1: hoping to take big things in the end of this 739 00:39:31,680 --> 00:39:33,760 Speaker 1: year and into next year. So please like and subscribe 740 00:39:33,800 --> 00:39:35,760 Speaker 1: and I'll see you guys on Friday.